﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Scolobig, A
   Linnerooth-Bayer, J
   Pelling, M
   Martin, JGC
   Deubelli, TM
   Liu, W
   Oen, A
AF Scolobig, Anna
   Linnerooth-Bayer, JoAnne
   Pelling, Mark
   Martin, Juliette G. C.
   Deubelli, Teresa M.
   Liu, Wei
   Oen, Amy
TI Transformative adaptation through nature-based solutions: a comparative
   case study analysis in China, Italy, and Germany
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Transformative adaptation; Nature-based solutions; Polycentric
   governance; Climate adaptation policy; Disaster risk reduction; Planning
ID GLOBAL ENVIRONMENTAL-CHANGE; CLIMATE-CHANGE; RESTORATION; PAYMENTS
AB This paper explores how claims for transformative adaptation toward more equitable and sustainable societies can be assessed. We build on a theoretical framework describing transformative adaptation as it manifests across four core elements of the public-sector adaptation lifecycle: vision, planning, institutional frameworks, and interventions. For each element, we identify characteristics that can help track adaptation as transformative. Our purpose is to identify how governance systems can constrain or support transformative choices and thus enable targeted interventions. We demonstrate and test the usefulness of the framework with reference to three government-led adaptation projects of nature-based solutions (NBS): river restoration (Germany), forest conservation (China), and landslide risk reduction (Italy). Building on a desktop study and open-ended interviews, our analysis adds evidence to the view that transformation is not an abrupt system change, but a dynamic complex process that evolves over time. While each of the NBS cases fails to fulfill all the transformation characteristics, there are important transformative elements in their visions, planning, and interventions. There is a deficit, however, in the transformation of institutional frameworks. The cases show institutional commonalities in multi-scale and cross-sectoral (polycentric) collaboration as well as innovative processes for inclusive stakeholder engagement; yet, these arrangements are ad hoc, short-term, dependent on local champions, and lacking the permanency needed for upscaling. For the public sector, this result highlights the potential for establishing cross-competing priorities among agencies, cross-sectoral formal mechanisms, new dedicated institutions, and programmatic and regulatory mainstreaming.
C1 [Scolobig, Anna; Linnerooth-Bayer, JoAnne; Martin, Juliette G. C.; Deubelli, Teresa M.; Liu, Wei] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.
   [Scolobig, Anna] Univ Geneva, Geneva, Switzerland.
   [Pelling, Mark] UCL, London, England.
   [Oen, Amy] Norwegian Geotech Inst, Oslo, Norway.
C3 International Institute for Applied Systems Analysis (IIASA); University
   of Geneva; University of London; University College London; Norwegian
   Geotechnical Institute, NGI
RP Scolobig, A (corresponding author), Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.; Scolobig, A (corresponding author), Univ Geneva, Geneva, Switzerland.
EM scolobig@iiasa.ac.at; bayer@iiasa.ac.at; mark.pelling@ucl.ac.uk;
   martinj@iiasa.ac.at; deubelli@iiasa.ac.at; liuw@iiasa.ac.at;
   Amy.Oen@ngi.no
RI scolobig, anna/HHZ-7574-2022
OI Deubelli-Hwang, Teresa/0000-0001-7765-0552; Martin, Juliette G.
   C./0000-0002-2862-8540
FU International Institute for Applied Systems Analysis (IIASA); European
   Community's Framework Programmes [200972]; PHUSICOS Project [776681]
FX Open access funding provided by International Institute for Applied
   Systems Analysis (IIASA). This research was funded by the European
   Community's Framework Programmes through the grants to the budget of two
   projects: Climate-KIC (www. clima te- kic. org/ programmes/ deep- demon
   strat ions/ resil ient- regio ns/ publi catio ns/) (EIT Cli-mate-KIC
   Project ID 200972) and PHUSICOS Project (https:// phusicos. eu/) (EU
   H2020 research and innovation programme grant agree-ment No. 776681).
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Aguilar FX, 2021, FOREST POLICY ECON, V127, DOI 10.1016/j.forpol.2021.102454
   [Anonymous], 2012, IDS WORKING PAPERS, DOI [DOI 10.1111/J.2040-0209.2012.00405.X, 10.1111/j.2040-0209.2012.00405.x]
   [Anonymous], 2020, IUCN Global Standard for Nature-based Solutions, VFirst
   Arce-Mojica TD, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101293
   Bayerischer Kanu-Verband, 2021, BIOD UNS GEW HOCHST
   Binder W, 2015, INT SOIL WATER CONSE, V3, P141, DOI 10.1016/j.iswcr.2015.04.004
   Binder W, 2010, WASSERWIRTSCHAFT, V100, P15
   Bosomworth K, 2018, ENVIRON POLICY GOV, V28, P415, DOI 10.1002/eet.1806
   Braunschweiger D, 2021, ENVIRON POLICY GOV, V31, P361, DOI 10.1002/eet.1936
   Bryman A., 2016, Social Research Methods, V5th
   Cairney P., 2012, Understanding public policy
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   CCCPC & SC, 2019, NAT FOR CONS REST PO
   Chan KMA, 2020, PEOPLE NAT, V2, P693, DOI 10.1002/pan3.10124
   Chen XD, 2009, P NATL ACAD SCI USA, V106, P11812, DOI 10.1073/pnas.0809980106
   Chiavazzo G, 2018, FANGO MODELLO SARNO
   Chu E., 2019, UNLOCKING POTENTIAL
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Tàbara JD, 2019, REG ENVIRON CHANGE, V19, P807, DOI 10.1007/s10113-018-1288-8
   Deubelli TM, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd42d
   Dryzek J.S., 2001, Deliberative democracy and beyond: Liberals, critics, contestations
   Duchs J, 2014, Wann wirds an der Isar wieder schon? Die Renaturierung der Isar in Munchen: Uber das Verstandnis von Natur in der GroSSstadt
   European Commission EC, 2021, COMM COMM EUR PARL C
   European Environment Agency EEA, 2015, EEA TECH REP
   European Environment Agency EEA, 2020, EEA TECH REP
   European Environment Agency EEA, 2021, NATURE BASED SOLUTIO, DOI [10.2800/919315, DOI 10.2800/919315]
   European Topic Centre Climate Change Adaptation ETC/CCA, 2018, 20183 ETC CCA
   Faldi G, 2017, GREEN ENERGY TECHNOL, P265, DOI 10.1007/978-3-319-59096-7_13
   Fazey I, 2018, ENERGY RES SOC SCI, V40, P54, DOI 10.1016/j.erss.2017.11.026
   Fazey I, 2018, CLIM DEV, V10, P197, DOI 10.1080/17565529.2017.1301864
   Fedele G, 2019, NATURE BASED TRANSFO, DOI [10.5281/zenodo.3386441, DOI 10.5281/ZENODO.3386441]
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Frantzeskaki N, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104688
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fraser A., 2016, J EXTREME EVENTS, DOI [10.1142/S2345737616500081, DOI 10.1142/S2345737616500081]
   George AL., 2005, Case studies and theory development in the social sciences
   Gerring J, 2016, SOCIOL METHOD RES, V45, P392, DOI 10.1177/0049124116631692
   Hajer M.A., 2003, POLITICS ENV DISCOUR, DOI [DOI 10.1093/019829333X.001.0001, 10.1093/019829333X.001.0001]
   Hallegatte S., 2020, The Adaptation Principles; A Guide for Designing Strategies for Climate Change Adaptation and Resilience, DOI [10.1596/34780, DOI 10.1596/34780]
   Jenkins-Smith Hank C., 1994, J PUBLIC POLICY, V14, P175, DOI [DOI 10.1017/S0143814X00007431, https://doi.org/10.1017/S0143814X00007431]
   Josephs LI, 2018, J ENVIRON MANAGE, V212, P32, DOI 10.1016/j.jenvman.2018.01.085
   Kangler G, 2014, Anliegen Natur, V36, P66
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Knil C, 2012, PALGRAVE SHAKESPEAR
   Landeshauptstadt Munchen; Baureferat; Wasserwirtschaftsamt Munchen, 2012, ISAR PLAN
   Lesnikowski AC, 2015, MITIG ADAPT STRAT GL, V20, P277, DOI 10.1007/s11027-013-9491-x
   Linnerooth-Bayer J, 2016, NAT HAZARDS, V81, pS69, DOI 10.1007/s11069-015-1805-8
   Liu JG, 2001, SCIENCE, V292, P98, DOI 10.1126/science.1058104
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Lupp G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010188
   Martin JCG, 2019, NATURE BASED SOLUTIO
   Martin JGC, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041971
   [Matthews J.B.R. IPCC Glossary IPCC Glossary], 2018, GLOBAL WARMING 15 C
   Mayring P., 2014, QUALITATIVE CONTENT, DOI [10.4135/9781446282243.n12, DOI 10.4135/9781446282243.N12]
   Milder JC, 2010, ECOL SOC, V15
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Mustelin J, 2013, P TRANSFORMATION CHA
   Nalau J, 2015, ENVIRON SCI POLICY, V54, P349, DOI 10.1016/j.envsci.2015.07.022
   National Science Foundation, 2019, EFF CROSS BOUND PROC
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Pal U, 2019, OXFORD POLICY MANAGE
   Palomo I, 2021, ONE EARTH, V4, P730, DOI 10.1016/j.oneear.2021.04.013
   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
   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]
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Roberts E, 2020, CLIM POLICY, V20, P758, DOI 10.1080/14693062.2019.1680336
   Rossano F, 2016, ISAR PLAN WILD NEW U
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Sartori R, 2012, NEUE ISAR RENATURIER, V3
   Sartori R, 2010, NEUE ISAR RENATURIER, V1
   Scolobig A, 2020, SYNTH 1 WORKSH POL B
   Scolobig A, 2017, J EXTREME EVENTS, V4, P26, DOI [10.1142/S2345737617500105, DOI 10.1142/S2345737617500105]
   Scolobig A, 2016, NAT HAZARDS, V81, pS45, DOI 10.1007/s11069-015-2078-y
   Seddon N, 2022, SCIENCE, V376, P1410, DOI 10.1126/science.abn9668
   Smith A, 2010, ECOL SOC, V15
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Thompson M, 1998, GOV OPPOS, V33, P139, DOI 10.1111/j.1477-7053.1998.tb00787.x
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   UN Environment DTU Partnership, 2017, AD GAP REP 2017
   United Nations Environment Assembly, 2022, RES AD UN ENV ASS 2
   Vermeulen SJ, 2018, FRONT SUSTAIN FOOD S, V2, DOI 10.3389/fsufs.2018.00065
   Vina A, 2011, AMBIO, V40, P274, DOI 10.1007/s13280-010-0098-0
   Vysna V, 2021, ACCORDING ECOSYSTEMS
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wasserwirtschaftsamt Munchen and Landeshauptstadt Munchen, 2011, IS PLAN NEW LEAS LIF
   Watkiss P, 2020, LIT REV SYNTHESIS PA
   Wetzel J, 2016, Suddeutsche ZeitungOctober 21
   White House Council on Environmental Quality and White House Office of Science and Technology Policy, 2022, OPP ACC NATUREBASED
   Yang W, 2013, J ENVIRON MANAGE, V127, P86, DOI 10.1016/j.jenvman.2013.04.019
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Zingraff-Hamed A, 2021, AMBIO, V50, P1610, DOI 10.1007/s13280-020-01412-x
   Zingraff-Hamed A, 2019, LANDSC ARCHIT FRONT, V7, P12, DOI 10.15302/J-LAF-1-020003
   Zingraff-Hamed A, 2017, WATER-SUI, V9, DOI 10.3390/w9030206
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
NR 102
TC 7
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U1 7
U2 23
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PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD JUN
PY 2023
VL 23
IS 2
AR 69
DI 10.1007/s10113-023-02066-7
PG 19
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA F8IS9
UT WOS:000984737000005
PM 37153538
OA Green Published, Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Brown, ME
   Escobar, VM
   Younis, FM
   Carlo, ES
   McGroddy, M
   Arias, SD
   Griffith, P
   Hurtt, G
AF Brown, Molly E.
   Escobar, Vanessa M.
   Younis, Fatima M.
   Carlo, Edil Sepulveda
   McGroddy, Megan
   Arias, Sabrina Delgado
   Griffith, Peter
   Hurtt, George
TI Scientist-stakeholder relationships drive carbon data product transfer
   effectiveness within NASA program
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE monitoring; evaluation; carbon monitoring system; stakeholder;
   engagement
ID SCIENCE; POLICY; COPRODUCTION
AB Carbon cycle science is at the heart of research on global climate change and its long-term impacts, as it examines the exchange of carbon between the atmosphere, oceans, land, and the impact of fossil fuel emissions on this cycling. Given the urgency of the climate challenge, NASA's Carbon Monitoring System (CMS) requires all funded investigators to identify and work with stakeholder organizations at project inception to accelerate the transfer of the products developed by funded research into decision making systems. In this study, we contribute to the literature through the implementation of a quantitative analysis of 908 unique survey responses from funded investigators to explore the maturity of the scientist-stakeholder engagement. The paper employs multiple correspondence analysis to provide evidence to support policy options to increase stakeholder integration into research programs. Despite limitations of the dataset used, we demonstrated that multiple funding rounds, long-standing relationships between the stakeholder and scientist, and the scientific productivity of the Principal Investigator, including the ability to produce datasets and research papers on these datasets, all contribute to carbon products moving from research to operational use. The maturity of relationships between scientists and stakeholders was shown to result improved stakeholder engagement. The use of carbon products should be identified in every stage of the program, and that capacity building is needed to support both existing and newly identified stakeholders better understand and use CMS products. As federal, state, and local policy on climate adaptation and mitigation matures, the need for information on carbon will expand. Building of stakeholder-scientist relationships in CMS results in an effective generation and use of datasets to support this need and prototype ways that improved information needed for decision making can be created.
C1 [Brown, Molly E.; Hurtt, George] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   [Escobar, Vanessa M.] NASA Goddard Space Flight Ctr, Radiometr Calibrat Lab, NOAA NASA GEO XO, Greenbelt, MD USA.
   [Younis, Fatima M.] Univ Maryland, Dept Govt & Polit, College Pk, MD 20742 USA.
   [Carlo, Edil Sepulveda; McGroddy, Megan; Arias, Sabrina Delgado; Griffith, Peter] NASA Goddard Space Flight Ctr, Sci Syst & Applicat, Greenbelt, MD USA.
C3 University System of Maryland; University of Maryland College Park;
   National Aeronautics & Space Administration (NASA); NASA Goddard Space
   Flight Center; University System of Maryland; University of Maryland
   College Park; National Aeronautics & Space Administration (NASA); NASA
   Goddard Space Flight Center
RP Brown, ME (corresponding author), Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
EM mbrown52@umd.edu
RI Brown, Molly/L-7270-2019; Escobar, Vanessa/AAN-8460-2020; McGroddy,
   Megan/ISW-1518-2023; Griffith, Peter/AAU-2959-2020; Hurtt,
   George/A-8450-2012; Brown, Molly/E-2724-2010; Griffith,
   Peter/I-1392-2016
OI Brown, Molly/0000-0001-7384-3314; Delgado Arias,
   Sabrina/0000-0003-4411-1717; Griffith, Peter/0000-0002-4267-7429; Hurtt,
   George/0000-0001-7278-202X
FU NASA Carbon Monitoring System [80NSSC20K0853]
FX This research was funded by a 2018 NASA Grant #80NSSC20K0853 from the
   NASA Carbon Monitoring System.
CR [Anonymous], 1993, Correspondence analysis in practice
   [Anonymous], 1984, Theory and Applications of Correspondence Analysis
   Arnott JC, 2020, CURR OPIN ENV SUST, V42, P38, DOI 10.1016/j.cosust.2020.01.006
   Arnott JC, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.101979
   Bozeman B, 2000, RES POLICY, V29, P627, DOI 10.1016/S0048-7333(99)00093-1
   Brown ME, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba300
   Brugger J, 2016, B AM METEOROL SOC, V97, DOI 10.1175/BAMS-D-14-00289.1
   Butler J., 2021, NOAA GLOBAL MONITORI
   Carlo ES., 2018, IDENTIFYING DATA NEE
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Changnon SA., 2000, PREDICTION SCI DECIS
   Cook BR, 2019, GLOBAL ENVIRON CHANG, V56, P56, DOI 10.1016/j.gloenvcha.2019.03.001
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Ernst A, 2019, ECOL SOC, V24, DOI 10.5751/ES-10599-240103
   Fazey I, 2014, GLOBAL ENVIRON CHANG, V25, P204, DOI 10.1016/j.gloenvcha.2013.12.012
   Gibbons M, 1999, NATURE, V402, pC81, DOI 10.1038/35011576
   GREENACRE M, 1987, J AM STAT ASSOC, V82, P437, DOI 10.2307/2289445
   Hurtt G, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0bbe
   Hurtt G., 2014, NASA Carbon Monitoring System Phase 1 Report
   Hurtt GC, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7407
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Lasswell HaroldD., 1971, Policy Sciences Book Series
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Liobikiene G, 2018, SCI TOTAL ENVIRON, V642, P999, DOI 10.1016/j.scitotenv.2018.06.140
   Ludwig D, 2001, ECOSYSTEMS, V4, P758, DOI 10.1007/s10021-001-0044-x
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Moran MS, 2015, J HYDROMETEOROL, V16, P473, DOI 10.1175/JHM-D-14-0093.1
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   NASA, 2017, APPL READ LEV METR
   Ray DK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066428
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   VanderMolen K, 2020, ENVIRON MANAGE, V65, P178, DOI 10.1007/s00267-019-01237-9
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   WENGER E., 2011, STEP LEADERSHIP WORK
   West TO., 2018, 2 STATE CARBON CYCLE, pch18, DOI [10.1152/jn.00629.2017, DOI 10.1152/JN.00629.2017]
   Whitney PL, 2004, SPACE POLICY, V20, P207, DOI 10.1016/j.spacepol.2004.06.004
NR 38
TC 3
Z9 3
U1 0
U2 6
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD SEP 1
PY 2022
VL 17
IS 9
AR 095004
DI 10.1088/1748-9326/ac87bf
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 3Y6UT
UT WOS:000843858900001
OA gold
DA 2025-01-10
ER

PT J
AU Uddin, R
   Philipsborn, R
   Smith, D
   Mutic, A
   Thompson, LM
AF Uddin, Raisa
   Philipsborn, Rebecca
   Smith, Daniel
   Mutic, Abby
   Thompson, Lisa M.
TI A global child health perspective on climate change, migration and human
   rights
SO CURRENT PROBLEMS IN PEDIATRIC AND ADOLESCENT HEALTH CARE
LA English
DT Article
ID IMPACT
AB Current indicators of anthropogenic climate change are fore-boding and demand immediate collaborative action and policy change to reduce carbon emissions rapidly. Human and envi-ronmental effects of climate change are already widespread. Large-scale disruptive disasters and weather-related events have downstream and cascading effects on livelihoods, national economies, population health and global human rights. These effects create human displacement and migration crises with far-reaching implications for children. Displacement and migration, both within and across national borders, have sequelae for the physical and mental health of children. Young children are vulnerable-both physiologically and develop-mentally immature-and dependent on others for safety and resources. They also are least responsible for the climate crisis. Child health threats stemming from displacement and migration exemplify questions of social and intergenerational injustice inherent in the climate crisis. Pediatric health care providers are increasingly called upon to care for children and ensure access to care for children who have experienced displacement from climate change, even as dire predictions for the future are escalating climate adaptation efforts. Pediatric health care pro-viders have a role in these efforts-to identify and advocate for those children most at risk from climate change and to bolster clinical care and education strategies to prevent harm to our patients and children. This paper provides a global perspective on climate change for pediatric providers, including how cli-mate change reflects and reinforces colonial legacies that harm child health. We provide action steps for those providers who care for children who have been displaced in the U.S. and who advocate for children's health globally.
C1 [Uddin, Raisa] Emory Univ, Pediat Residency Program, Atlanta, GA 30322 USA.
   [Philipsborn, Rebecca] Emory Univ, Div Gen Pediat, Atlanta, GA 30322 USA.
   [Philipsborn, Rebecca] Childrens Healthcare Atlanta, Atlanta, GA USA.
   [Philipsborn, Rebecca; Thompson, Lisa M.] Emory Univ, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA.
   [Smith, Daniel; Mutic, Abby; Thompson, Lisa M.] Emory Univ, Nell Hodgson Woodruff Sch Nursing, Atlanta, GA 30322 USA.
C3 Emory University; Emory University; Children's Healthcare of Atlanta
   (CHOA); Emory University; Emory University
RP Thompson, LM (corresponding author), 1520 Clifton Rd,Suite 226, Atlanta, GA 30322 USA.
EM lisa.thompson@emory.edu
RI Smith, Daniel/AAX-2828-2021; Thompson, Lisa/H-2059-2019
OI Smith, Daniel/0000-0003-4471-8885
CR American Academy of Pediatrics Council on Environmental Health, 2019, GLOBAL CLIMATE CHANG, V4th, P1039
   Anderegg WRL, 2010, P NATL ACAD SCI USA, V107, P12107, DOI 10.1073/pnas.1003187107
   [Anonymous], 2021, State of the Global Climate
   [Anonymous], 2019, WORLD MIGRATION REPO
   [Anonymous], 2015, The Paris Agreement
   [Anonymous], TRANSF OUR WORLD 203
   [Anonymous], 2020, BBC news
   [Anonymous], 2014, CLIM CHANG SYNTH REP
   Asadullah MN, 2021, J BIOSOC SCI, V53, P948, DOI 10.1017/S0021932020000644
   Barkin JL, 2021, DEV MED CHILD NEUROL, V63, P785, DOI 10.1111/dmcn.14856
   Belleville G, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091604
   Brown MRG, 2019, BMC PSYCHIATRY, V19, DOI 10.1186/s12888-018-2007-1
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   Douglass K, 2020, P NATL ACAD SCI USA, V117, P8254, DOI 10.1073/pnas.1914211117
   Eckelman V, 2018, AM J PUBLIC HEALTH, V108, pS120, DOI 10.2105/AJPH.2017.303846
   Ephraums J.J., 1990, CLIMATE CHANGE IPCC
   Eskenazi B, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP6578
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Gobler CJ, 2017, P NATL ACAD SCI USA, V114, P4975, DOI 10.1073/pnas.1619575114
   Goldmann E, 2014, ANNU REV PUBL HEALTH, V35, P169, DOI 10.1146/annurev-publhealth-032013-182435
   Gore T., 2020, Confronting Carbon Inequality: Putting climate Justice At the Heart of the COVID-19 Recovery
   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]
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Hyman E., 2020, WHOS REALLY RESPONSI
   I OM, 2019, Glossary on Migration
   IDMC, 2015, GLOBAL REPORT INTERN
   In-depth recovery needs assessment of, 2009, CYCLONE AILA AFFECTE
   International Organisation for Migration, 2008, IOM RES SER, V31
   Jagai JS, 2017, ENVIRON HEALTH PERSP, V125, DOI [10.1289/EHP2048, 10.1289/ehp2048]
   Juliana v. United States, BRIEF AMICI CURIAE P
   Kar N, 2009, WORLD J PEDIATR, V5, P5, DOI 10.1007/s12519-009-0001-x
   Kirch L, 2017, WORLD RISK REPORT
   Kommenda N., 2019, The Guardian
   Kwauk C, 2017, 3 PLATFORMS GIRLS ED, V6
   La Greca AM, 2010, J CONSULT CLIN PSYCH, V78, P794, DOI 10.1037/a0020775
   LOVELL WG, 1988, LAT AM RES REV, V23, P25
   Martin NC, 2016, J CLIN CHILD ADOLESC, V45, P335, DOI 10.1080/15374416.2014.982279
   McMichael C, 2020, LANCET PLANET HEALTH, V4, pE217, DOI 10.1016/S2542-5196(20)30125-X
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   Moloney A., 2018, REUTERS
   Needs Assessment Working Group, 2020, BANGL MON FLOOD PREL
   Nitschke M, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-42
   NOAA, 2020, Record-breaking Atlantic hurricane season draws to an end.
   Patz JA, 2007, ECOHEALTH, V4, P397, DOI 10.1007/s10393-007-0141-1
   Philipsborn RP, 2021, CURR PROB PEDIATR AD, V51, DOI 10.1016/j.cppeds.2021.101027
   Philipsborn RP, 2018, PEDIATRICS, V141, DOI 10.1542/peds.2017-3774
   Rao ND, 2019, NAT ENERGY, V4, P1025, DOI 10.1038/s41560-019-0497-9
   Schütte S, 2018, LANCET PLANET HEALTH, V2, pE58, DOI 10.1016/S2542-5196(18)30004-4
   Sennholz-Weinhardt B., 2021, WELLBEING EC SERVES
   Simms JRZ, J ENVIRON STUD SCI, V2021
   Tang BH, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-623
   The Internal Displacement Monitoring Centre (IDMC), 2020, GLOBAL REPORT INTERN
   UNHCR, 2020, Legal Considerations Regarding Claims for International Protection Made in the context of the Adverse Effects of Climate Change and Disasters'
   United Nation's Children's Fund, 2020, 4 UN CHILDR FUND
   United Nations, 1989, CONV RIGHTS CHILD
   United Nations High Commissioner for Refugees, 2020, IOAN TEIT NZ CCPRC12
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Wilkins B., COURT RULES AUSTR GO, P2021
   Wisner B., 2002, ENV HLTH EMERGENCIES
   Woolf AD, 2016, ACAD PEDIATR, V16, P25, DOI 10.1016/j.acap.2015.05.006
   World Meteorological Organization and United Nations Environment Programme, 2019, UNIT SCI HIGH LEV SY
NR 61
TC 10
Z9 11
U1 1
U2 19
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1538-5442
EI 1538-3199
J9 CURR PROB PEDIATR AD
JI Curr. Probl. Pediatr. Adolesc. Health Care
PD JUN
PY 2021
VL 51
IS 6
AR 101029
DI 10.1016/j.cppeds.2021.101029
EA AUG 2021
PG 8
WC Pediatrics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Pediatrics
GA UA3FR
UT WOS:000685048300002
PM 34244060
DA 2025-01-10
ER

PT J
AU Ouedraogo, ALSN
   Messan, A
   Yamegueu, D
   Coulibaly, Y
AF Ouedraogo, Arnaud Louis Sountong-Noma
   Messan, Adamah
   Yamegueu, Daniel
   Coulibaly, Yezouma
TI A model for thermal comfort assessment of naturally ventilated housing
   in the hot and dry tropical climate
SO INTERNATIONAL JOURNAL OF BUILDING PATHOLOGY AND ADAPTATION
LA English
DT Article
DE Thermal comfort; Operative temperature; New effective temperature;
   Climatic zone; Comfort zone; Decision-making tool
ID COMPRESSED EARTH BLOCKS; HUMAN-BODY; BUILDINGS; DESIGN; IMPACT; REGION;
   WALLS; PMV
AB Purpose A major challenge faced by West Africa is to find comfortable housing as a result of climate change and population growth. The climatic adaptation of buildings and their indoor environment become an essential condition for maintaining the health and productivity of the occupants. This paper proposes a model to assess the thermal comfort of naturally ventilated buildings in hot and dry climates in Burkina Faso. Design/methodology/approach The proposed method is an adaptive model which relies on a combination of parameters such as the operative temperature, the new effective temperature and the basic parameters of thermal comfort. It consists in proposing the zones of thermal comfort on the diagram of the humid air for each climatic region. Findings A decision-making tool is set up for evaluating the comfort of buildings to better consider the bio-climatic concept through a long-term comfort index. This comfort index is defined and is used to assess the degree of thermal discomfort for various types of housing. Two natural ventilation pilot buildings located in Ouagadougou were considered. The results show that the pilot building whose wall are is made of Earth blocks achieves 26.4% of thermal comfort while the building made of hollow cement block achieves 25.8% of thermal comfort. Originality/value The decision-making tool proposed in the present study allow building stakeholders to better and easily design, assess and improve the thermal environment of buildings.
C1 [Ouedraogo, Arnaud Louis Sountong-Noma; Messan, Adamah] Inst Int Ingn Eau & Environm 2iE, Lab Ecomat & Habitat Durable LEMHaD, Ouagadougou, Burkina Faso.
   [Yamegueu, Daniel; Coulibaly, Yezouma] Inst Int Ingn Eau & Environm 2iE, Lab Energies Renouvelables & Efficacite Energet L, Ouagadougou, Burkina Faso.
RP Yamegueu, D (corresponding author), Inst Int Ingn Eau & Environm 2iE, Lab Energies Renouvelables & Efficacite Energet L, Ouagadougou, Burkina Faso.
EM arnaud.ouedraogo@2ie-edu.org; adamah.messan@2ie-edu.org;
   dan.yamegueu@gmail.com; yezouma.coulibaly@2ie-edu.org
RI messan, adamah/AEG-9709-2022
OI messan, adamah/0000-0003-1925-1750; YAMEGUEU, Daniel/0000-0002-1789-8377
FU "German Academic Exchange Service" (DAAD) [57313342/2016]
FX The authors are grateful to the "German Academic Exchange Service"
   (DAAD) for supporting this research within the framework of the "In
   Region Scholarship Programme-2iE Burkina Faso, 2016" and through the
   grant number 57313342/2016.
CR Albatayneh A, 2016, PROCD SOC BEHV, V216, P655, DOI 10.1016/j.sbspro.2015.12.051
   [Anonymous], 2004, ANSI/ASHRAE Standard 90.1-2004: Energy Standard for Buildings Except Low-Rise Residential
   [Anonymous], 2005, Ergonomics of the thermal environment _ Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
   [Anonymous], 2013, ASHRAE
   ASHRAE, 2009, ASHRAE HDB FUND I P
   ASHRAE, 2013, ASHRAE HDB FUND THER
   Attia S, 2015, ENERG BUILDINGS, V102, P117, DOI 10.1016/j.enbuild.2015.05.017
   Berghout B, 2019, BUILDINGS-BASEL, V9, DOI 10.3390/buildings9040087
   Bergman T. L., 2011, Fundamentals of Heat and Mass Transfer, DOI DOI 10.1109/TKDE.2004.30
   Boetcher SKS., 2014, Natural Convection Heat Transfer From Horizontal Cylinders, P3
   Botti A, 2017, INT J BUILD PATHOL, V35, P417, DOI 10.1108/IJBPA-11-2016-0028
   Carlucci S, 2012, ENERG BUILDINGS, V53, P194, DOI 10.1016/j.enbuild.2012.06.015
   de Dear RJ, 2002, ENERG BUILDINGS, V34, P549, DOI 10.1016/S0378-7788(02)00005-1
   de Freitas CR, 2015, INT J BIOMETEOROL, V59, P109, DOI 10.1007/s00484-014-0819-3
   deDear RJ, 1997, INT J BIOMETEOROL, V40, P141, DOI 10.1007/s004840050035
   Dixon J.C., 2007, The Shock Absorber Handbook, V2nd
   Djongyang N, 2010, RENEW SUST ENERG REV, V14, P2626, DOI 10.1016/j.rser.2010.07.040
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Fanger PO, 2002, ENERG BUILDINGS, V34, P533
   Gagge A.P., 1972, An Effective temperature scale based on a simple model of human physiological regulatory response
   Givoni Baruch., 1998, CLIMATE CONSIDERATIO
   Hamzah B, 2016, STRUCT SURV, V34, P427, DOI 10.1108/SS-12-2015-0055
   Hema C, 2021, J BUILD ENG, V38, DOI 10.1016/j.jobe.2021.102148
   Hema C, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10090157
   Humphreys MA, 2002, ENERG BUILDINGS, V34, P667, DOI 10.1016/S0378-7788(02)00018-X
   Jing SL, 2013, INDOOR BUILT ENVIRON, V22, P598, DOI 10.1177/1420326X12447614
   Kalmár F, 2016, J BUILD ENG, V6, P236, DOI 10.1016/j.jobe.2016.04.003
   Kuznik F, 2009, APPL ENERG, V86, P2038, DOI 10.1016/j.apenergy.2009.01.004
   Latha PK, 2015, J BUILD ENG, V3, P104, DOI 10.1016/j.jobe.2015.06.003
   Li C, 2014, J WIND ENG IND AEROD, V126, P107, DOI 10.1016/j.jweia.2014.01.003
   McCartney KJ, 2002, ENERG BUILDINGS, V34, P623, DOI 10.1016/S0378-7788(02)00013-0
   Messan A., 2017, VERNACULAR HOUSING P
   Moussa H.S., 2019, J. Miner. Mater. Charact. Eng., V7, P385, DOI [10.4236/jmmce.2019.76026, DOI 10.4236/JMMCE.2019.76026]
   Nematchoua MK, 2014, RENEW SUST ENERG REV, V39, P381, DOI 10.1016/j.rser.2014.07.010
   Neya I, 2021, J BUILD ENG, V33, DOI 10.1016/j.jobe.2020.101612
   Nguyen AT, 2012, BUILD ENVIRON, V56, P291, DOI 10.1016/j.buildenv.2012.03.021
   Nicol F, 2010, BUILD ENVIRON, V45, P11, DOI 10.1016/j.buildenv.2008.12.013
   Nicol JF, 2002, ENERG BUILDINGS, V34, P563, DOI 10.1016/S0378-7788(02)00006-3
   Nshimiyimana P, 2020, MATERIALS, V13, DOI 10.3390/ma13173769
   Ogunsote O O., 2002, Architectural Science Review, V45, P125, DOI [DOI 10.1080/00038628.2002.9697500, 10.1080/00038628.2002.9697500]
   ONU Habitat, 2014, ETAT VILLES AFRICAIN
   Park CS, 2008, INDOOR BUILT ENVIRON, V17, P324, DOI 10.1177/1420326X08093949
   RB H.G.M., 1975, EFFECTIVE TEMPERATUR
   Rincon L, 2019, J BUILD ENG, V24, DOI 10.1016/j.jobe.2019.100732
   RR, 1974, DISCOMFORT HEAT TOLE
   Sore SO, 2018, CONSTR BUILD MATER, V165, P333, DOI 10.1016/j.conbuildmat.2018.01.051
   Szokolay S.V., 1997, PLEA ASS DEP ARCHITE
   Thapa S, 2020, INDOOR BUILT ENVIRON, V29, P84, DOI 10.1177/1420326X19853877
   Visitsak S., 2004, SIMBUILD C 2004 IBPS, V1, P1
NR 49
TC 11
Z9 11
U1 0
U2 6
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 2398-4708
J9 INT J BUILD PATHOL
JI Int. J. Build. Pathol. Adapt.
PD MAR 8
PY 2022
VL 40
IS 2
SI SI
BP 183
EP 201
DI 10.1108/IJBPA-02-2021-0011
EA MAY 2021
PG 19
WC Construction & Building Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology
GA ZQ2HN
UT WOS:000654382300001
DA 2025-01-10
ER

PT J
AU Tyrmi, JS
   Vuosku, J
   Acosta, JJ
   Li, Z
   Sterck, L
   Cervera, MT
   Savolainen, O
   Pyhäjärvi, T
AF Tyrmi, Jaakko S.
   Vuosku, Jaana
   Acosta, Juan J.
   Li, Zhen
   Sterck, Lieven
   Cervera, Maria T.
   Savolainen, Outi
   Pyhajarvi, Tanja
TI Genomics of Clinal Local Adaptation in Pinus sylvestris Under Continuous
   Environmental and Spatial Genetic Setting
SO G3-GENES GENOMES GENETICS
LA English
DT Article
DE adaptation; population genetics - empirical; landscape genetics;
   gymnosperms; Pinus sylvestris; Local adaptation; Targeted DNA
   Sequencing; Structural Variation
ID QUANTITATIVE TRAIT LOCI; POPULATION-STRUCTURE; LINKAGE DISEQUILIBRIUM;
   NUCLEOTIDE DIVERSITY; CLIMATIC ADAPTATION; SCOTS PINE;
   POPULUS-TRICHOCARPA; MOLECULAR MARKERS; COMPLEX TRAITS; SELECTION
AB Understanding the consequences of local adaptation at the genomic diversity is a central goal in evolutionary genetics of natural populations. In species with large continuous geographical distributions the phenotypic signal of local adaptation is frequently clear, but the genetic basis often remains elusive. We examined the patterns of genetic diversity inPinus sylvestris, a keystone species in many Eurasian ecosystems with a huge distribution range and decades of forestry research showing that it is locally adapted to the vast range of environmental conditions. MakingP. sylvestrisan even more attractive subject of local adaptation study, population structure has been shown to be weak previously and in this study. However, little is known about the molecular genetic basis of adaptation, as the massive size of gymnosperm genomes has prevented large scale genomic surveys. We generated a both geographically and genomically extensive dataset using a targeted sequencing approach. By applying divergence-based and landscape genomics methods we identified several loci contributing to local adaptation, but only few with large allele frequency changes across latitude. We also discovered a very large (ca. 300 Mbp) putative inversion potentially under selection, which to our knowledge is the first such discovery in conifers. Our results call for more detailed analysis of structural variation in relation to genomic basis of local adaptation, emphasize the lack of large effect loci contributing to local adaptation in the coding regions and thus point out the need for more attention toward multi-locus analysis of polygenic adaptation.
C1 [Tyrmi, Jaakko S.; Vuosku, Jaana; Savolainen, Outi; Pyhajarvi, Tanja] Univ Oulu, Dept Ecol & Genet, FI-90014 Oulu, Finland.
   [Tyrmi, Jaakko S.; Savolainen, Outi; Pyhajarvi, Tanja] Univ Oulu, Bioctr Oulu, FI-90014 Oulu, Finland.
   [Acosta, Juan J.] North Carolina State Univ, Camcore, Dept Forestry & Environm Resources, Raleigh, NC USA.
   [Li, Zhen; Sterck, Lieven] Univ Ghent, Dept Plant Biotechnol & Bioinformat, Technol Pk 71, B-9052 Ghent, Belgium.
   [Li, Zhen; Sterck, Lieven] VIB Ctr Plant Syst Biol, Technol Pk 71, B-9052 Ghent, Belgium.
   [Cervera, Maria T.] Inst Nacl Invest Agr INIA, Ctr Invest Forestal CIFOR, Madrid 28040, Spain.
C3 University of Oulu; University of Oulu; North Carolina State University;
   Ghent University; Flanders Institute for Biotechnology (VIB); Ghent
   University; Instituto Nacional Investigacion Tecnologia Agraria
   Alimentaria (INIA)
RP Pyhäjärvi, T (corresponding author), Univ Oulu, Dept Ecol & Genet, FI-90014 Oulu, Finland.
EM tanja.pyhajarvi@oulu.fi
RI Li, Zhen/J-7103-2019; Pyhäjärvi, Tanja/ABD-4161-2021; Sterck,
   Lieven/A-9439-2016; Cervera, M. Teresa/G-9181-2012
OI Tyrmi, Jaakko/0000-0002-4757-6563; Sterck, Lieven/0000-0001-7116-4000;
   Acosta, Juan J./0000-0002-9429-5166; Pyhajarvi,
   Tanja/0000-0001-6958-5172; Savolainen, Outi/0000-0001-9851-7945; Li,
   Zhen/0000-0001-8920-9270; Cervera, M. Teresa/0000-0001-6797-2347
FU European Comission 7th Framework Programme project ProCoGen [289841];
   Biocenter Oulu; Emil Aaltosen Saatio [160284 O]; Oulun Laanin
   Talousseuran Maataloussaatio; Academy of Finland [287431, 293819];
   Special Research Fund of Ghent University [BOFPDO2018001701]; Academy of
   Finland (AKA) [293819] Funding Source: Academy of Finland (AKA)
FX The authors thank Skogforsk for providing seeds for sequencing, Matias
   Kirst for helping with developing the exome capture protocol, Gideon
   Bradburd for help with conStruct, Chedly Kastally for help with genetic
   map data and members of the Plant Genetics Research group in the
   University of Oulu for many helpful comments and suggestions. We thank
   the CSC-IT Center for Science, Finland, for computational resources.
   This work was supported by European Comission 7th Framework Programme
   project ProCoGen (289841) to O.S., Biocenter Oulu, Emil Aaltosen Saatio
   (160284 O), Oulun Laanin Talousseuran Maataloussaatio to JT, Academy of
   Finland (287431 and 293819) to T.P. Z.L. was funded by a postdoctoral
   fellowship from the Special Research Fund of Ghent University
   (BOFPDO2018001701).
CR Acosta JJ, 2019, GENOME BIOL EVOL, V11, P508, DOI 10.1093/gbe/evz016
   Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   AHO ML, 1994, SCAND J FOREST RES, V9, P17, DOI 10.1080/02827589409382808
   Alberto FJ, 2013, GENETICS, V195, P495, DOI 10.1534/genetics.113.153783
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Andolfatto P, 2001, GENET RES, V77, P1, DOI 10.1017/S0016672301004955
   [Anonymous], 1971, Genetics of the Evolutionary Process
   Barb JG, 2014, GENETICS, V197, P969, DOI 10.1534/genetics.114.165548
   Barton NH, 2002, NAT REV GENET, V3, P11, DOI 10.1038/nrg700
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Berg JJ, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004412
   BEUKER E, 1994, TREE PHYSIOL, V14, P961, DOI 10.1093/treephys/14.7-8-9.961
   Bhatia G, 2013, GENOME RES, V23, P1514, DOI 10.1101/gr.154831.113
   Booker T. R, 2019, GLOBAL ADAPTATION CO, DOI [10.1101/742247, DOI 10.1101/742247]
   Boyle EA, 2017, CELL, V169, P1177, DOI 10.1016/j.cell.2017.05.038
   Bradburd GS, 2018, GENETICS, V210, P33, DOI 10.1534/genetics.118.301333
   Brown GR, 2004, P NATL ACAD SCI USA, V101, P15255, DOI 10.1073/pnas.0404231101
   Buckler ES, 2009, SCIENCE, V325, P714, DOI 10.1126/science.1174276
   Cameron DL, 2017, GENOME RES, V27, P2050, DOI 10.1101/gr.222109.117
   Cheddadi R, 2006, GLOBAL ECOL BIOGEOGR, V15, P271, DOI [10.1111/j.1466-822x.2006.00226.x, 10.1111/j.1466-822X.2006.00226.x]
   Chen J, 2019, EVOL APPL, V12, P1539, DOI 10.1111/eva.12801
   Chen J, 2012, GENETICS, V191, P865, DOI 10.1534/genetics.112.140749
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Cruickshank TE, 2014, MOL ECOL, V23, P3133, DOI 10.1111/mec.12796
   Dvornyk V, 2002, MOL BIOL EVOL, V19, P179, DOI 10.1093/oxfordjournals.molbev.a004070
   Eckert AJ, 2013, MOL ECOL, V22, P5635, DOI 10.1111/mec.12514
   Eiche V., 1966, Stud. For. Suec, V36, P1
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Evans LM, 2014, NAT GENET, V46, P1089, DOI 10.1038/ng.3075
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Fan SH, 2016, SCIENCE, V354, P54, DOI 10.1126/science.aaf5098
   Feldman MW, 1996, ANNU REV GENET, V30, P261, DOI 10.1146/annurev.genet.30.1.261
   Field Y, 2016, SCIENCE, V354, P760, DOI 10.1126/science.aag0776
   Fisher R. A., 1919, Transactions of the Royal Society of Edinburgh, V52
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Galinsky KJ, 2016, AM J HUM GENET, V98, P456, DOI 10.1016/j.ajhg.2015.12.022
   Gárate-Escamilla H, 2019, GLOBAL ECOL BIOGEOGR, V28, P1336, DOI 10.1111/geb.12936
   Garner AG, 2016, NEW PHYTOL, V211, P319, DOI 10.1111/nph.13897
   Geraldes A, 2014, EVOLUTION, V68, P3260, DOI 10.1111/evo.12497
   Giertych M., 1991, DEV PLANT GENETICS B, P87
   Goudarzi M, 2019, ELIFE, V8, DOI [10.7554/eLife.39725, 10.7554/eLife.40815]
   Gould BA, 2018, MOL ECOL, V27, P4174, DOI 10.1111/mec.14852
   Grivet D, 2017, MOL ECOL, V26, P6857, DOI 10.1111/mec.14402
   Gutenkunst RN, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000695
   Hall D, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-1073-0
   Hämälä T, 2018, EVOLUTION, V72, P1373, DOI 10.1111/evo.13502
   Hermida-Carrera C, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183970
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   HILL W G, 1968, Theoretical and Applied Genetics, V38, P226, DOI 10.1007/BF01245622
   HILL WG, 1988, THEOR POPUL BIOL, V33, P54, DOI 10.1016/0040-5809(88)90004-4
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Holliday JA, 2010, NEW PHYTOL, V188, P501, DOI 10.1111/j.1469-8137.2010.03380.x
   Huang KC, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00296
   HUDSON RR, 1992, GENETICS, V132, P583
   Hurme P, 2000, GENETICS, V156, P1309
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   Huxley J, 1938, NATURE, V142, P219, DOI 10.1038/142219a0
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Jordan R, 2017, MOL ECOL, V26, P6002, DOI 10.1111/mec.14341
   Kapun M, 2019, MOL ECOL, V28, P1263, DOI 10.1111/mec.14871
   Karhu A, 1996, THEOR APPL GENET, V93, P215, DOI 10.1007/BF00225748
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller SR, 2010, MOL ECOL, V19, P1212, DOI 10.1111/j.1365-294X.2010.04546.x
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Knoth C, 2008, PLANT J, V55, P53, DOI 10.1111/j.1365-313X.2008.03486.x
   Komulainen P, 2003, THEOR APPL GENET, V107, P667, DOI 10.1007/s00122-003-1312-2
   Kopelman NM, 2015, MOL ECOL RESOUR, V15, P1179, DOI 10.1111/1755-0998.12387
   Kosugi S, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1720-5
   Kremer A, 2012, HEREDITY, V108, P375, DOI 10.1038/hdy.2011.81
   Kujala ST, 2017, HEREDITY, V118, P413, DOI 10.1038/hdy.2016.115
   Kujala ST, 2012, TREE GENET GENOMES, V8, P1451, DOI 10.1007/s11295-012-0532-5
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Latta RG, 2004, NEW PHYTOL, V161, P51, DOI 10.1046/j.1469-8137.2003.00920.x
   Latta RG, 1998, AM NAT, V151, P283, DOI 10.1086/286119
   Le Corre V, 2003, GENETICS, V164, P1205
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   Leinonen PH, 2011, EVOLUTION, V65, P90, DOI 10.1111/j.1558-5646.2010.01119.x
   LEWONTIN RC, 1973, GENETICS, V74, P175
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li Z, 2017, GENOME BIOL EVOL, V9, P1130, DOI 10.1093/gbe/evx070
   Lind BM, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-017-1224-y
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Lu MM, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3081-8
   Luu K, 2017, MOL ECOL RESOUR, V17, P67, DOI 10.1111/1755-0998.12592
   Ma XF, 2010, GENETICS, V186, P1033, DOI 10.1534/genetics.110.120873
   McVean G, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000686
   Mei WB, 2018, AM J BOT, V105, P16, DOI 10.1002/ajb2.1002
   Mikola J., 1982, Silvae Fenn, V16, P178, DOI DOI 10.14214/SF.A15075
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Muratova E. N., 1997, CYTOGENETIC STUDIES, P2
   Naydenov K, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-233
   Neale DB, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-3-r59
   Neale DB, 2004, TRENDS PLANT SCI, V9, P325, DOI 10.1016/j.tplants.2004.05.006
   NEI M, 1967, GENETICS, V57, P741
   NEI M, 1979, P NATL ACAD SCI USA, V76, P5269, DOI 10.1073/pnas.76.10.5269
   Nordborg M, 2005, PLOS BIOL, V3, P1289, DOI 10.1371/journal.pbio.0030196
   Orr HA, 1998, EVOLUTION, V52, P935, DOI 10.1111/j.1558-5646.1998.tb01823.x
   Pritchard JK, 2000, GENETICS, V155, P945
   Prunier J, 2016, NEW PHYTOL, V209, P44, DOI 10.1111/nph.13565
   Puig M, 2015, BRIEF FUNCT GENOMICS, V14, P369, DOI 10.1093/bfgp/elv020
   Pyhaejaervi T, 2020, EVOL APPL, V13, P11, DOI 10.1111/eva.12809
   Pyhäjärvi T, 2008, TREE GENET GENOMES, V4, P247, DOI 10.1007/s11295-007-0105-1
   Pyhäjärvi T, 2007, GENETICS, V177, P1713, DOI 10.1534/genetics.107.077099
   Pyhäjärvi T, 2013, GENOME BIOL EVOL, V5, P1594, DOI 10.1093/gbe/evt109
   Racimo F, 2018, GENETICS, V208, P1565, DOI 10.1534/genetics.117.300489
   Rausch T, 2012, BIOINFORMATICS, V28, pI333, DOI 10.1093/bioinformatics/bts378
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Simpson SD, 2003, PLANT J, V33, P259, DOI 10.1046/j.1365-313X.2003.01624.x
   SLATKIN M, 1973, GENETICS, V75, P733
   Sundell D, 2015, NEW PHYTOL, V208, P1149, DOI 10.1111/nph.13557
   TAJIMA F, 1989, GENETICS, V123, P585
   Thompson MJ, 2014, HEREDITY, V113, P1, DOI 10.1038/hdy.2014.20
   Thorvaldsdóttir H, 2013, BRIEF BIOINFORM, V14, P178, DOI 10.1093/bib/bbs017
   Tyrmi JS., 2018, BIORXIV, P445056
   Vitalis R, 2014, GENETICS, V196, P799, DOI 10.1534/genetics.113.152991
   Wachowiak W, 2009, TREE GENET GENOMES, V5, P117, DOI 10.1007/s11295-008-0188-3
   Wang J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1444-y
   WEGRZYN JL, 2008, INT J PLANT GENOMICS, DOI DOI 10.1155/2008/412875
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wellenreuther M, 2018, TRENDS ECOL EVOL, V33, P427, DOI 10.1016/j.tree.2018.04.002
   Westbrook JW, 2015, G3-GENES GENOM GENET, V5, P1685, DOI 10.1534/g3.115.019588
   Wu TD, 2010, BIOINFORMATICS, V26, P873, DOI 10.1093/bioinformatics/btq057
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yeaman S, 2015, AM NAT, V186, pS74, DOI 10.1086/682405
   Yeaman S, 2013, P NATL ACAD SCI USA, V110, pE1743, DOI 10.1073/pnas.1219381110
   Yeaman S, 2011, EVOLUTION, V65, P1897, DOI 10.1111/j.1558-5646.2011.01269.x
   Zonneveld BJM, 2012, NORD J BOT, V30, P490, DOI 10.1111/j.1756-1051.2012.01516.x
NR 135
TC 25
Z9 28
U1 0
U2 18
PU GENETICS SOCIETY AMERICA
PI BETHESDA
PA 9650 ROCKVILLE AVE, BETHESDA, MD 20814 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD AUG
PY 2020
VL 10
IS 8
BP 2683
EP 2696
DI 10.1534/g3.120.401285
PG 14
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA NB3XB
UT WOS:000560448200012
PM 32546502
OA Green Submitted, gold, Green Published
DA 2025-01-10
ER

PT J
AU Ernst, KM
   Preston, BL
AF Ernst, Kathleen M.
   Preston, Benjamin L.
TI Applying the Knowledge Product Evaluation (KnoPE) Framework to two urban
   resilience cases in the United States
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban resilience; Climate change; Environmental decision-making;
   Decision-support tools; Evaluation; Resilience; Knowledge systems;
   Climate services
ID SCIENCE; ADAPTATION; USABILITY; SYSTEMS; SCENARIOS
AB Urban decision-makers are increasingly focused on enhancing community resilience in anticipation of more frequent and intense impacts from climate variability and change. These impacts will manifest in complex and nuanced ways, particularly when coupled with additional social, economic, and environmental shifts that vary across contexts. Given these challenges, urban decision-makers are seeking new knowledge, and new ways of using existing knowledge, to support decision-making processes. In response, a broad range of knowledge products (i.e. decision-support tools, climate services) have been developed for urban areas. Yet, to date, little research has directly evaluated these products. The Knowledge Product Evaluation (KnoPE) framework addresses this gap by providing both conceptual clarity surrounding knowledge products and a structured, generalizable methodology to guide research and support improved knowledge product creation and uptake. The KnoPE Framework combines data and information on knowledge products, their use in decision-making over time, and evidence of tangible actions taken. The KnoPE Framework was developed with two urban resilience knowledge products - the Urban-Climate Adaptation Tool and the Maine Flood Resilience Checklist. Initial testing indicates that the KnoPE Framework can assess the transferability, scalability, and use of knowledge products in urban resilience decision-making. Any evaluation using the KnoPE Framework requires a thorough understanding of the contextual details of each case and understanding what factors may influence knowledge product development and subsequent decision-making processes and outcomes. Yet, as an analytical entry point for the evaluation of knowledge products, the KnoPE Framework can offer insights regarding the extent to which knowledge products influence urban resilience decision-making processes.
C1 [Ernst, Kathleen M.] FAMU FSU, Coll Engn, Tallahassee, FL USA.
   [Preston, Benjamin L.] RAND Corp, Community Hlth & Environm Policy Program, Santa Monica, CA 90406 USA.
C3 State University System of Florida; Florida A&M University; Florida
   State University; RAND Corporation
RP Ernst, KM (corresponding author), 2525 Pottsdamer St,Room B202-A, Tallahassee, FL 32310 USA.
EM kernst@eng.famu.fsu.edu
RI ; Preston, Benjamin/B-9001-2012
OI Ernst, Kathleen/0000-0002-4726-0331; Preston,
   Benjamin/0000-0002-7966-2386
CR [Anonymous], 2010, NATURE, V463, P849, DOI 10.1038/463849a
   [Anonymous], MAINE FLOOD RESILIEN
   [Anonymous], SCI DECISIONMAKING H
   Arnott JC, 2016, ENVIRON SCI POLICY, V66, P383, DOI 10.1016/j.envsci.2016.06.017
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Buizer M, 2011, ECOL SOC, V16
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cash DW, 2006, ECOL SOC, V11
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   de Bremond A, 2014, ENVIRON SCI POLICY, V42, P45, DOI 10.1016/j.envsci.2014.05.004
   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
   Gibson CC, 2000, ECOL ECON, V32, P217, DOI 10.1016/S0921-8009(99)00092-0
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lesnikowski AC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044009
   Liu YQ, 2008, ENVIRON MODELL SOFTW, V23, P846, DOI 10.1016/j.envsoft.2007.10.007
   [Mach K.J. Intergovernmental Panel on Climate Change (IPCC). ( Intergovernmental Panel on Climate Change (IPCC). (], 2014, CLIMATE CHANGE 2014, P117
   McKee JJ, 2015, P NATL ACAD SCI USA, V112, P1344, DOI 10.1073/pnas.1405713112
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller C., 2010, Knowledge systems analysis. A report for the Advancing Conservation in a Social Context Project
   Moss R., 2014, Climate Change Impacts in the United States: The Third National Climate Assessmentk, DOI [DOI 10.7930/J0H12ZXG, 10.7930/J0H12ZXG]
   Moss RH, 2016, CLIMATIC CHANGE, V135, P143, DOI 10.1007/s10584-015-1549-1
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Nugent PJ, 2017, ADV GEOGR INFORM SCI, P371, DOI 10.1007/978-3-319-22786-3_33
   Porter JJ, 2017, ENVIRON SCI POLICY, V77, P9, DOI 10.1016/j.envsci.2017.07.004
   Proctor W, 2010, INTEGRATED MISSION-DIRECTED RESEARCH: EXPERIENCES FROM ENVIRONMENTAL AND NATURAL RESOURCE MANAGEMENT, P1
   Silva A, 2018, GLOBAL ENVIRON CHANG, V50, P60, DOI 10.1016/j.gloenvcha.2018.02.003
   Skelton M, 2017, REG ENVIRON CHANGE, V17, P2325, DOI 10.1007/s10113-017-1155-z
   Tran L, 2016, ECOL INDIC, V61, P418, DOI 10.1016/j.ecolind.2015.09.043
   Trencher G, 2014, GLOBAL ENVIRON CHANG, V28, P153, DOI 10.1016/j.gloenvcha.2014.06.009
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Vulturius G, 2015, SCAND J FOREST RES, V30, P217, DOI 10.1080/02827581.2014.1002218
   Wall TU, 2017, FRONT ECOL ENVIRON, V15, P551, DOI 10.1002/fee.1735
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
NR 41
TC 7
Z9 9
U1 5
U2 36
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 MAY
PY 2020
VL 107
BP 7
EP 22
DI 10.1016/j.envsci.2020.01.018
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LC5GO
UT WOS:000525353800002
DA 2025-01-10
ER

PT J
AU Dey, D
   Gyeltshen, T
   Aich, A
   Naskar, M
   Roy, A
AF Dey, Dipayan
   Gyeltshen, Tshering
   Aich, Amitava
   Naskar, Mrinmoyee
   Roy, Arindam
TI Climate adaptive crop-residue management for soil-function improvement;
   recommendations from field interventions at two agro-ecological zones in
   South Asia
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Agricultural waste management; Biomass burning; Biochar; Crop
   production; Crop residue
ID AGRICULTURE; BIOCHAR; PRODUCTIVITY; PARTICLES; TILLAGE; INDIA
AB Utilization of biomass energy from various agricultural wastes for local usages and its removal through open burning potentially increase emission of Green House Gases (GHGs), deteriorate air-quality, formation of tropospheric ozone and create trans-boundary health hazards in countries of South East Asia. The effect of common agro-waste management practices in soil quality and agricultural production system over this part of the world is not well documented. In the present three-years long study, spanning over two entirely different agro-ecological zones of India and Bhutan, highlights the impacts of the burning of agricultural waste in soil physio-chemical properties, biological properties and crop production. The current study also focuses on the alternative usage of crop residue to enhance soil organic carbon, soil moisture, soil nutrients and soil biological activity through the application of biochar and raw agricultural waste generated from the field. It was observed that crop residue used as raw mulch and biochar improved the agricultural production up to 36%-64% over the experimental fields of India and Bhutan. The results from the study disseminated among the local farmers and technological support were provided for practicing alternative crop residue management. Nearly 1450-1500 farmers in India and 100-125 farmers in Bhutan have adopted the agro-waste management practices of removal and re-application of agro-wastes in the field. A total of similar to 26000 t of CO2 emission has been reduced in two intervention sites during the study period. The present action-research helps to propose future guidelines for environmental friendly crop residue utilization and management and simultaneously help to improve agricultural yield along with soil quality.
C1 [Dey, Dipayan; Aich, Amitava; Roy, Arindam] Res & Planning Div South Asian Forum Environm, Kolkata, India.
   [Gyeltshen, Tshering] Dept Agr Mo Agr & Forest, Thimphu, Bhutan.
   [Naskar, Mrinmoyee] Calcutta Univ, Baruipur Coll, Dept Geog, Kolkata, India.
C3 University of Calcutta
RP Roy, A (corresponding author), 176A Vivekananda Pk, Kolkata 700099, India.
EM arindam.safe@gmail.com
FU Asia Pacific Network for Global Change Research (APN), Japan
   [ARCP2016-08CMY-Dey]
FX Asia Pacific Network for Global Change Research (APN), Japan for funding
   this study (Project No: ARCP2016-08CMY-Dey)
CR Aggarwal P.K., 2001, Land use analysis and planning for sustainable food security: with an illustration for the state of Haryana, India
   Akiș R., 2016, Gaziosmanpașa Universitesi Ziraat Fakultesi Dergisi, V33, P223
   Andela N, 2017, SCIENCE, V356, P1356, DOI 10.1126/science.aal4108
   Anderson P, 2004, P LAMNET PROJ INT WO, P8
   [Anonymous], British Food Journal
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 2010, CLIM SMART AGR POL P
   Asai H, 2009, FIELD CROP RES, V111, P81, DOI 10.1016/j.fcr.2008.10.008
   Badarinath KVS, 2006, CURR SCI INDIA, V91, P1085
   Baon J.B., 2009, J. Tanah Trop., V14, P185, DOI [DOI 10.5400/JTS.2009.V14I3.185-193, 10.5400/jts.2009.v14i3.185-193]
   Biederman LA, 2013, GCB BIOENERGY, V5, P202, DOI 10.1111/gcbb.12037
   Brady N.C., 2002, NATURE PROPERTIES SO, P900
   Burney J, 2014, P NATL ACAD SCI USA, V111, P16319, DOI 10.1073/pnas.1317275111
   Chan KY, 2008, AUST J SOIL RES, V46, P437, DOI 10.1071/SR08036
   Clinnick P. F., 1981, Australian Forestry, V44, P185
   de Andrade SJ, 2011, ENVIRON RES, V111, P545, DOI 10.1016/j.envres.2011.03.004
   Ferreira LEN, 2014, ENVIRON RES, V135, P304, DOI 10.1016/j.envres.2014.07.030
   Gadde B, 2009, BIOMASS BIOENERG, V33, P1532, DOI 10.1016/j.biombioe.2009.07.018
   Gadde B, 2009, ENVIRON POLLUT, V157, P1554, DOI 10.1016/j.envpol.2009.01.004
   Glaser B., 2002, Sustainable Utilization of Global Soil and Water Resources, Proc. 12th ISCO Conf., May 26-31, P421, DOI DOI 10.1007/S00374-002-0466-4
   Goto DM, 2011, ENVIRON RES, V111, P664, DOI 10.1016/j.envres.2011.03.006
   Graber ER, 2010, PLANT SOIL, V337, P481, DOI 10.1007/s11104-010-0544-6
   Hamed KH, 2008, J HYDROL, V349, P350, DOI 10.1016/j.jhydrol.2007.11.009
   Hatch LE, 2015, ATMOS CHEM PHYS, V15, P1865, DOI 10.5194/acp-15-1865-2015
   Hossain MK, 2010, CHEMOSPHERE, V78, P1167, DOI 10.1016/j.chemosphere.2010.01.009
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jain N, 2014, AEROSOL AIR QUAL RES, V14, P422, DOI 10.4209/aaqr.2013.01.0031
   Ji SN, 2001, SOIL SCI SOC AM J, V65, P442, DOI 10.2136/sssaj2001.652442x
   Joseph S., 2015, Biochar for environmental management: science and technology, V2nd
   Laird DA, 2010, GEODERMA, V158, P443, DOI 10.1016/j.geoderma.2010.05.013
   Laird DA, 2009, BIOFUEL BIOPROD BIOR, V3, P547, DOI 10.1002/bbb.169
   LAL R, 1979, FIELD CROP RES, V2, P91, DOI 10.1016/0378-4290(79)90012-1
   Lehmann J., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P403, DOI 10.1007/s11027-005-9006-5
   Lehmann J, 2007, NATURE, V447, P143, DOI 10.1038/447143a
   Liu XY, 2013, PLANT SOIL, V373, P583, DOI 10.1007/s11104-013-1806-x
   Liu Yusi, 2019, ATMOS CHEM PHYS, V19, P9531, DOI [10.5194/acp-19-9531-2019, DOI 10.5194/ACP-19-9531-2019]
   Malhi SS, 2007, SOIL TILL RES, V94, P353, DOI 10.1016/j.still.2006.08.009
   Mazzoli-Rocha F, 2008, ENVIRON RES, V108, P35, DOI 10.1016/j.envres.2008.05.004
   Mbuthia LW, 2015, SOIL BIOL BIOCHEM, V89, P24, DOI 10.1016/j.soilbio.2015.06.016
   Mitchell R. D. J., 2000, Proceedings of the 2000 Conference of the Australian Society of Sugar Cane Technologists held at Bundaberg, Queensland, Australia, 2-5 May 2000., P206
   Novak JM, 2010, GEODERMA, V154, P281, DOI 10.1016/j.geoderma.2009.10.014
   Saothongnoi V., 2014, Thai Journal of Agricultural Science, V47, P7
   Sarigiannis DA, 2015, ENVIRON RES, V137, P147, DOI 10.1016/j.envres.2014.12.009
   Sarkar A, 2012, ENVIRON RES, V115, P37, DOI 10.1016/j.envres.2012.03.005
   Sarkar S, 2018, LANCET PLANET HEALTH, V2, pE327, DOI 10.1016/S2542-5196(18)30166-9
   Shyamsundar P, 2019, SCIENCE, V365, P536, DOI 10.1126/science.aaw4085
   Streets DG, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD003093
   Venkataraman C, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002547
   Woolf D, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1053
   Yin S, 2017, ENVIRON POLLUT, V220, P204, DOI 10.1016/j.envpol.2016.09.040
NR 52
TC 19
Z9 19
U1 3
U2 41
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 APR
PY 2020
VL 183
AR 109164
DI 10.1016/j.envres.2020.109164
PG 9
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA LD6YT
UT WOS:000526177500018
PM 32000007
DA 2025-01-10
ER

PT J
AU Isabel, N
   Holliday, JA
   Aitken, SN
AF Isabel, Nathalie
   Holliday, Jason A.
   Aitken, Sally N.
TI Forest genomics: Advancing climate adaptation, forest health,
   productivity, and conservation
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE assisted gene flow; cyberinfrastructure; forest management; genomic
   selection; hybridization; insect and disease resistance; landscape
   genomics; nonmodel species; tree breeding
ID MOUNTAIN PINE-BEETLE; ASSISTED GENE FLOW; EVOLUTIONARY RESPONSES; LOCAL
   ADAPTATION; SELECTION; TRAITS; TREES
AB Forest ecosystems provide important ecological services and resources, from habitat for biodiversity to the production of environmentally friendly products, and play a key role in the global carbon cycle. Humanity is counting on forests to sequester and store a substantial portion of the anthropogenic carbon dioxide produced globally. However, the unprecedented rate of climate change, deforestation, and accidental importation of invasive insects and diseases are threatening the health and productivity of forests, and their capacity to provide these services. Knowledge of genetic diversity, local adaptation, and genetic control of key traits is required to predict the adaptive capacity of tree populations, inform forest management and conservation decisions, and improve breeding for productive trees that will withstand the challenges of the 21st century. Genomic approaches have well accelerated the generation of knowledge of the genetic and evolutionary underpinnings of nonmodel tree species, and advanced their applications to address these challenges. This special issue of Evolutionary Applications features 14 papers that demonstrate the value of a wide range of genomic approaches that can be used to better understand the biology of forest trees, including species that are widespread and managed for timber production, and others that are threatened or endangered, or serve important ecological roles. We highlight some of the major advances, ranging from understanding the evolution of genomes since the period when gymnosperms separated from angiosperms 300 million years ago to using genomic selection to accelerate breeding for tree health and productivity. We also discuss some of the challenges and future directions for applying genomic tools to address long-standing questions about forest trees.
C1 [Isabel, Nathalie] Nat Resources Canada, Canadian Forest Serv, Laurentian Forestry Ctr, Quebec City, PQ, Canada.
   [Isabel, Nathalie] Univ Laval, Canada Res Chair Forest Genom, Ctr Forest Res, Quebec City, PQ, Canada.
   [Isabel, Nathalie] Univ Laval, Inst Syst & Integrat Biol, Quebec City, PQ, Canada.
   [Holliday, Jason A.] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA.
   [Aitken, Sally N.] Univ British Columbia, Ctr Forest Conservat Genet, Vancouver, BC, Canada.
   [Aitken, Sally N.] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC, Canada.
C3 Natural Resources Canada; Canadian Forest Service; Laval University;
   Laval University; Virginia Polytechnic Institute & State University;
   University of British Columbia; University of British Columbia
RP Isabel, N (corresponding author), Nat Resources Canada, Canadian Forest Serv, Laurentian Forestry Ctr, Quebec City, PQ, Canada.
EM Nathalie.lsabel@canada.ca
OI Holliday, Jason/0000-0002-2662-8790
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Bastin JF, 2019, SCIENCE, V366, DOI 10.1126/science.aay8108
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Bawa R., 2016, COMP EVOLUTIONARY GE, P159
   Borrell JS, 2020, EVOL APPL, V13, P161, DOI 10.1111/eva.12883
   Boyle EA, 2017, CELL, V169, P1177, DOI 10.1016/j.cell.2017.05.038
   Calderón R, 2015, REMOTE SENS-BASEL, V7, P5584, DOI 10.3390/rs70505584
   Crowther TW, 2015, NATURE, V525, P201, DOI 10.1038/nature14967
   Cullingham CI, 2020, EVOL APPL, V13, P48, DOI 10.1111/eva.12773
   De La Torre AR, 2020, EVOL APPL, V13, P210, DOI 10.1111/eva.12839
   De La Torre AR, 2017, MOL BIOL EVOL, V34, P1363, DOI 10.1093/molbev/msx069
   De La Torre AR, 2014, PLANT PHYSIOL, V166, P1724, DOI 10.1104/pp.114.248708
   FAO, 2015, GLOBAL FOREST RESOUR, P45
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Funk WC, 2019, CONSERV GENET, V20, P115, DOI 10.1007/s10592-018-1096-1
   Godbout J, 2020, EVOL APPL, V13, P176, DOI 10.1111/eva.12854
   Hamelin RC, 2020, EVOL APPL, V13, P95, DOI 10.1111/eva.12853
   Hamrick J. L., 1989, Isozymes in plant biology., P87
   Ingvarsson PK, 2020, EVOL APPL, V13, P132, DOI 10.1111/eva.12792
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kremer A, 2012, HEREDITY, V108, P375, DOI 10.1038/hdy.2011.81
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Kurz WA, 2008, NATURE, V452, P987, DOI 10.1038/nature06777
   LANGLET O, 1971, Taxon, V20, P653, DOI 10.2307/1218596
   Le Quéré C, 2016, EARTH SYST SCI DATA, V8, P605, DOI 10.5194/essd-8-605-2016
   Leebens-Mack JH, 2019, NATURE, V574, P679, DOI 10.1038/s41586-019-1693-2
   Lenz PRN, 2020, EVOL APPL, V13, P76, DOI 10.1111/eva.12823
   Lewis SL, 2019, SCIENCE, V366, DOI 10.1126/science.aaz0388
   Lewis SL, 2019, NATURE, V568, P25, DOI 10.1038/d41586-019-01026-8
   Mahony CR, 2020, EVOL APPL, V13, P116, DOI 10.1111/eva.12871
   Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
   Marris E, 2009, NATURE, V459, P906, DOI 10.1038/459906a
   Mayol M, 2020, EVOL APPL, V13, P143, DOI 10.1111/eva.12838
   McLane SC, 2012, ECOL APPL, V22, P142, DOI 10.1890/11-0329.1
   Mei WB, 2018, AM J BOT, V105, P16, DOI 10.1002/ajb2.1002
   Menon M, 2020, EVOL APPL, V13, P195, DOI 10.1111/eva.12795
   Newhouse AE, 2014, PLANT SCI, V228, P88, DOI 10.1016/j.plantsci.2014.04.004
   Nystedt B, 2013, NATURE, V497, P579, DOI 10.1038/nature12211
   Parent GJ, 2020, EVOL APPL, V13, P62, DOI 10.1111/eva.12885
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Pavy N, 2017, PLANT J, V90, P189, DOI 10.1111/tpj.13478
   Pearson TRH, 2017, CARBON BAL MANAGE, V12, DOI 10.1186/s13021-017-0072-2
   Pyhaejaervi T, 2020, EVOL APPL, V13, P11, DOI 10.1111/eva.12809
   Resende MFR, 2012, NEW PHYTOL, V193, P617, DOI 10.1111/j.1469-8137.2011.03895.x
   Safranyik L, 2010, CAN ENTOMOL, V142, P415, DOI 10.4039/n08-CPA01
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schulz E, 2016, SCI REP-UK, V6, DOI 10.1038/srep34027
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   Suarez-Gonzalez A, 2018, NEW PHYTOL, V217, P416, DOI 10.1111/nph.14779
   Tuskan GA, 2006, SCIENCE, V313, P1596, DOI 10.1126/science.1128691
   Wegrzyn JL, 2020, EVOL APPL, V13, P228, DOI 10.1111/eva.12860
   Westbrook JW, 2020, EVOL APPL, V13, P31, DOI 10.1111/eva.12886
NR 57
TC 84
Z9 90
U1 9
U2 81
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD JAN
PY 2020
VL 13
IS 1
SI SI
BP 3
EP 10
DI 10.1111/eva.12902
PG 8
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA KF1IC
UT WOS:000509003100001
PM 31892941
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kapetas, L
   Kazakis, N
   Voudouris, K
   McNicholl, D
AF Kapetas, Leon
   Kazakis, Nerantzis
   Voudouris, Konstantinos
   McNicholl, Duncan
TI Water allocation and governance in multi-stakeholder environments:
   Insight from Axios Delta, Greece
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Water allocation; Institutional relationships; Governance; Egocentric
   network analysis; Environmental flow; DPSIR
ID TREATED WASTE-WATER; CLIMATE-CHANGE; MANAGEMENT; RIVER; REUSE;
   VULNERABILITY; IRRIGATION; MODEL; DPSIR; PERFORMANCE
AB This article deals with stakeholders' interactions and institutional capacity influencing water resource management where competitive demands co-exist. For the case study area of Axios Delta, Northern Greece, a water deficit in the agricultural sector, an unmet environmental flow and a reduced capacity for urban supply during drought conditions are observed. An egocentric network analysis based on desk-study and a series of semi-structured stakeholder interviews reveals how weak stakeholder ties lead to ineffective multilevel governance and, as a result, low water efficiency practices. There is a lack of understanding of other users' priorities as well as of the risks related to climate change and/or seasonal variability. This is reflected in the flat rate abstraction licence for agricultural purposes which reduces environmental flow to below acceptable standards. There is no transboundary cooperation between Greece and the Republic of North Macedonia which hinders an integrated management approach. A limited exchange of information to support an evidence-based allocation plan is observed. Suitable interventions identified through a DPSIR approach are evaluated in a multi-criteria analysis considering cost effectiveness, delivered benefits as well as ease of implementation. Suitable technical practices include the development of a local and catchment-scale monitoring network for surface water and groundwater, climate-adaptive agriculture and treated-water reclamation. Updated management policies involve the institutional prioritisation of environmental flow through an adaptive allocation plan as well as the strengthening of transboundary cooperation. This research shows how the coordination of aggregated diverging interests in multilevel multi-stakeholder environments appears to be key in supporting positive water budgets in an uncertain climate future. (c) 2019 Elsevier B.V. All rights reserved.
C1 [Kapetas, Leon; Kazakis, Nerantzis; Voudouris, Konstantinos] Aristotle Univ Thessaloniki, Sch Geol, Thessaloniki, Greece.
   [McNicholl, Duncan] Univ Cambridge, Dept Engn, Cambridge, England.
C3 Aristotle University of Thessaloniki; University of Cambridge
RP Kazakis, N (corresponding author), Aristotle Univ Thessaloniki, Sch Geol, Thessaloniki, Greece.
EM kazakis@geo.auth.gr
RI Kazakis, Nerantzis/Q-5205-2016
OI Kazakis, Nerantzis/0000-0002-0406-9561
FU European Social Fund; Greek State under the operational program "Human
   capital, education and lifelong learning - 2014-2020" - action of
   "postdoctoral research support"
FX This scientific publication was co-funded by the European Social Fund
   and the Greek State under the operational program "Human capital,
   education and lifelong learning - 2014-2020" - action of "postdoctoral
   research support" - implemented by the Greek State Scholarship
   Foundation/Ministry of National Education and Religious Affairs. We
   would like to thank the organisations mentioned in this study for
   sharing their invaluable information and knowledge.
CR [Anonymous], 2018, WATER SUI, DOI [DOI 10.3390/w10050554, DOI 10.3390/W10050554]
   [Anonymous], 1992, DUBL STAT WAT SUST D
   [Anonymous], 2015, SOCIAL NETWORK ANAL
   [Anonymous], 2017, SOCIAL NETWORK ANAL
   Axios-Louctias-Alialunonas Management Authority, 2018, PROT STAT AX DELT NA
   Azhoni A., 2018, J HYDROL, V559, P736, DOI [DOI 10.1016/J.JHYDROL.2018.02.047, 10.1016/j.jhydrol.2018.02.047, DOI 10.1016/j.jhydrol.2018.02.047]
   Bailey ES, 2018, SCI TOTAL ENVIRON, V630, P379, DOI 10.1016/j.scitotenv.2018.02.239
   Bear-ID Novatek, 2016, EUR CLIM ZON BIOCL D
   Bournaris T, 2015, OPER RES-GER, V15, P289, DOI 10.1007/s12351-015-0178-9
   Bryman A., 2019, SOCIAL RES METHODS
   Busico G, 2018, ENVIRON POLLUT, V234, P260, DOI 10.1016/j.envpol.2017.11.053
   Butler C, 2015, J ENVIRON MANAGE, V153, P153, DOI 10.1016/j.jenvman.2015.02.010
   Cleaver F., 2012, DEV BRICOLAGE RETHIN
   Cohen D., QUALITATIVE RES GUID
   Daron JD, 2015, J ENVIRON PLANN MAN, V58, P2250, DOI 10.1080/09640568.2014.978938
   DELOSCOBOS G, 2018, SPEC ISSUE INT SHAR, V20, P116, DOI DOI 10.1016/J.EJRH.2018.02.003
   Dimald M., 2015, IDENTIFICATION ECOLO
   European Commission-EuropeAid Co-operation Office, 2007, EUR MED REG PROGR LO
   Everard M, 2018, SCI TOTAL ENVIRON, V612, P1249, DOI 10.1016/j.scitotenv.2017.08.308
   Exposito A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071144
   EYATH, 2018, EYATH ABSTR
   EYATH, 2012, AGR REUS RECL TREAT
   Flick U., 2015, INTRO RES METHODOLOG, V2nd
   Galassi G, 2014, GLOBAL PLANET CHANGE, V123, P55, DOI 10.1016/j.gloplacha.2014.10.007
   Global Water Partnership, 2012, VARD AX RIV BAS TWRM
   Goetz RU, 2017, SCI TOTAL ENVIRON, V601, P614, DOI 10.1016/j.scitotenv.2017.05.226
   Hertig E, 2017, GLOBAL PLANET CHANGE, V151, P36, DOI [10.1016/j.gloPlacha.2016.10.015, 10.1016/j.gloplacha.2016.10.015]
   Honkonen T, 2018, J HYDROL, V567, P320, DOI 10.1016/j.jhydrol.2018.09.062
   Jorda-Capdevila D, 2016, ENVIRON MODELL SOFTW, V79, P22, DOI 10.1016/j.envsoft.2016.01.007
   Kapetas L., 2018, PROT REST ENV THESS
   Kapetas L., 2019, 2 INT C NAT HAZ INFR
   Karageorgis AP, 2005, REG ENVIRON CHANGE, V5, P138, DOI 10.1007/s10113-004-0078-7
   Kazakis N, 2019, J ENVIRON MANAGE, V235, P257, DOI 10.1016/j.jenvman.2019.01.069
   Kazakis N, 2015, ENVIRON EARTH SCI, V74, P6199, DOI 10.1007/s12665-015-4641-y
   Kellogg WA, 2018, J ENVIRON PLANN MAN, V61, P25, DOI 10.1080/09640568.2017.1287063
   Kelly C, 2019, J CLEAN PROD, V228, P910, DOI 10.1016/j.jclepro.2019.04.268
   Koontz TM, 2014, J ENVIRON PLANN MAN, V57, P1572, DOI 10.1080/09640568.2013.820658
   KOTINISZAMBAKAS SR, 1984, J CLIMATOL, V4, P99, DOI 10.1002/joc.3370040108
   Lautze J, 2011, NAT RESOUR FORUM, V35, P1, DOI 10.1111/j.1477-8947.2010.01339.x
   Lekakis E, 2015, AGRONOMY-BASEL, V5, P35, DOI 10.3390/agronomy5010035
   Lyla M, 2017, FLOWS PRACTICES POLI
   Mahon R, 2017, ENVIRON DEV, V24, P146, DOI 10.1016/j.envdev.2017.06.008
   Mattas C, 2011, ADV RES AQUATIC ENV, P331, DOI [10.1007/978-3-642-19902-8_39, DOI 10.1007/978-3-642-19902-8_39]
   McCracken M, 2018, J HYDROL, V563, P1, DOI 10.1016/j.jhydrol.2018.05.013
   McGill R, 1996, I DEV, P3, DOI [10.1007/978-1-349-25071-4_1, DOI 10.1007/978-1-349-25071-41_1]
   McNicholl D, 2017, WATER ALTERN, V10, P541
   Merrey D. J., 2012, Water Alternatives, V5, P1
   Milovanovic M, 2007, DESALINATION, V213, P159, DOI 10.1016/j.desal.2006.06.022
   Ministry of Environment and Energy, 2014, MAN PLAN RIV CATCHM
   Mollinga P. P., 2008, Water Alternatives, V1, P7
   Nafarzadegan AR, 2018, WATER RESOUR MANAG, V32, P2985, DOI 10.1007/s11269-018-1969-6
   Null SE, 2016, SCI TOTAL ENVIRON, V571, P943, DOI 10.1016/j.scitotenv.2016.07.081
   OECD (Organization for Economic Cooperation and Development), 2001, ENV IND SUST DEV
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Papacharalampou C, 2017, J CLEAN PROD, V142, P1994, DOI 10.1016/j.jclepro.2016.11.084
   Patrikaki O, 2012, FRESEN ENVIRON BULL, V21, P2516
   Pereau JC, 2019, ECOL ECON, V161, P109, DOI 10.1016/j.ecolecon.2019.03.018
   Petersen-Perlman JD, 2018, INT ENVIRON AGREEM-P, V18, P275, DOI 10.1007/s10784-018-9387-z
   Pluchinotta I, 2018, J ENVIRON MANAGE, V223, P815, DOI 10.1016/j.jenvman.2018.06.083
   Reznik A, 2017, ECOL ECON, V135, P222, DOI 10.1016/j.ecolecon.2017.01.013
   Ricart S, 2019, AGR WATER MANAGE, V217, P426, DOI 10.1016/j.agwat.2019.03.017
   Risva K, 2018, WATER RESOUR MANAG, V32, P4911, DOI 10.1007/s11269-018-2060-z
   Rogers Peter., 2003, TEC BACKGROUND PAPER
   Saliba R, 2018, AGR WATER MANAGE, V204, P60, DOI 10.1016/j.agwat.2018.03.036
   Sapkota AR, 2019, ENVIRON RES, V171, P576, DOI 10.1016/j.envres.2018.11.003
   Seydehmet J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030656
   Sharmina M, 2016, ENVIRON SCI POLICY, V59, P74, DOI 10.1016/j.envsci.2016.02.008
   Song T, 2019, AGR WATER MANAGE, V223, DOI 10.1016/j.agwat.2019.105686
   Spachos T., 2012, PROT REST ENV 11 THE, P326
   Sriphirom P, 2019, J CLEAN PROD, V223, P980, DOI 10.1016/j.jclepro.2019.03.212
   Tu Y, 2015, RESOUR CONSERV RECY, V95, P156, DOI 10.1016/j.resconrec.2014.12.011
   Vannevel R, 2018, WATER-SUI, V10, DOI 10.3390/w10020118
   Verkerk J, 2015, POLICY POLIT, V43, P579, DOI 10.1332/030557312X655909
   Wang WQ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061728
   Yan D, 2018, WATER RESOUR MANAG, V32, P3071, DOI 10.1007/s11269-018-1975-8
   Zare F, 2019, J ENVIRON MANAGE, V246, P27, DOI 10.1016/j.jenvman.2019.05.033
   Zinzani A, 2018, WATER-SUI, V10, DOI 10.3390/w10030281
   Zomorodian M, 2018, J ENVIRON MANAGE, V227, P294, DOI 10.1016/j.jenvman.2018.08.097
NR 78
TC 45
Z9 46
U1 6
U2 81
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD DEC 10
PY 2019
VL 695
AR 133831
DI 10.1016/j.scitotenv.2019.133831
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JN3LY
UT WOS:000496802200084
PM 31422328
DA 2025-01-10
ER

PT J
AU Marla, SR
   Burow, G
   Chopra, R
   Hayes, C
   Olatoye, MO
   Felderhoff, T
   Hu, ZB
   Raymundo, R
   Perumal, R
   Morris, GP
AF Marla, Sandeep R.
   Burow, Gloria
   Chopra, Ratan
   Hayes, Chad
   Olatoye, Marcus O.
   Felderhoff, Terry
   Hu, Zhenbin
   Raymundo, Rubi
   Perumal, Ramasamy
   Morris, Geoffrey P.
TI Genetic Architecture of Chilling Tolerance in Sorghum Dissected with a
   Nested Association Mapping Population
SO G3-GENES GENOMES GENETICS
LA English
DT Article
DE Multiparental population; Crop evolution; Climate adaptation; Cold
   tolerance; Antagonistic pleiotropy; Linkage drag
ID GENOME-WIDE ASSOCIATION; SEASON COLD TOLERANCE; FREEZING TOLERANCE;
   ABSCISIC-ACID; BICOLOR; ADAPTATION; EXPRESSION; TRAITS; STRESS;
   DOMESTICATION
AB Dissecting the genetic architecture of stress tolerance in crops is critical to understand and improve adaptation. In temperate climates, early planting of chilling-tolerant varieties could provide longer growing seasons and drought escape, but chilling tolerance (<15 degrees) is generally lacking in tropical-origin crops. Here we developed a nested association mapping (NAM) population to dissect the genetic architecture of early-season chilling tolerance in the tropical-origin cereal sorghum (Sorghum bicolor [L.] Moench). The NAM resource, developed from reference line BTx623 and three chilling-tolerant Chinese lines, is comprised of 771 recombinant inbred lines genotyped by sequencing at 43,320 single nucleotide polymorphisms. We phenotyped the NAM population for emergence, seedling vigor, and agronomic traits (>75,000 data points from similar to 16,000 plots) in multi-environment field trials in Kansas under natural chilling stress (sown 30-45 days early) and normal growing conditions. Joint linkage mapping with early-planted field phenotypes revealed an oligogenic architecture, with 5-10 chilling tolerance loci explaining 20-41% of variation. Surprisingly, several of the major chilling tolerance loci co-localize precisely with the classical grain tannin (Tan1 and Tan2) and dwarfing genes (Dw1 and Dw3) that were under strong directional selection in the US during the 20th century. These findings suggest that chilling sensitivity was inadvertently selected due to coinheritance with desired nontannin and dwarfing alleles. The characterization of genetic architecture with NAM reveals why past chilling tolerance breeding was stymied and provides a path for genomics-enabled breeding of chilling tolerance.
C1 [Marla, Sandeep R.; Olatoye, Marcus O.; Felderhoff, Terry; Hu, Zhenbin; Raymundo, Rubi; Perumal, Ramasamy; Morris, Geoffrey P.] Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA.
   [Burow, Gloria; Chopra, Ratan; Hayes, Chad] USDA ARS, Plant Stress & Germplasm Dev Unit, Cropping Syst Res Lab, Lubbock, TX 79415 USA.
   [Perumal, Ramasamy] Kansas State Univ, Agr Res Ctr, Hays, KS 67601 USA.
   [Chopra, Ratan] Univ Minnesota, Dept Agron & Plant Genet, St Paul, MN 55108 USA.
   [Olatoye, Marcus O.] Univ Illinois, Dept Crop Sci, Urbana, IL 61820 USA.
C3 Kansas State University; United States Department of Agriculture (USDA);
   Kansas State University; University of Minnesota System; University of
   Minnesota Twin Cities; University of Illinois System; University of
   Illinois Urbana-Champaign
RP Morris, GP (corresponding author), Dept Agron, 1712 Claflin Rd,3004 Throckmorton Plant Sci Ctr, Manhattan, KS 66506 USA.
EM gpmorris@ksu.edu
RI Chopra, Ratan/AAQ-9047-2021; hu, zhenbin/GYE-1606-2022; Marla,
   Sandeep/X-7087-2019
OI Morris, Geoffrey Preston/0000-0002-3067-3359; Felderhoff,
   Terry/0000-0002-6610-2398; Marla, Sandeep/0000-0001-5778-7850; Perumal,
   Ramasamy/0000-0002-0649-8853; CHOPRA, RATAN/0000-0003-2088-3341
FU USDA ARS CRIS [3096-21000-021-00D]; United Sorghum Checkoff Program
   (USCP) Grant on "Sorghum Genetic Enhancement"; United Sorghum Checkoff
   Program; Kansas Grain Sorghum Commission; Kansas Department of
   Agriculture
FX The authors would like to thank Halee Hughes and Matt Davis for
   excellent technical support. Development of the NAM was supported by
   USDA ARS CRIS#3096-21000-021-00D and United Sorghum Checkoff Program
   (USCP) Grant on "Sorghum Genetic Enhancement" to USDA-ARS, Lubbock, TX.
   Dr. Ratan Chopra was supported by a grant from United Sorghum Checkoff
   Program. The study was supported by the Kansas Grain Sorghum Commission
   and Kansas Department of Agriculture. The study was carried out using
   the Beocat high-performance computing facility and Integrated Genomics
   Facility at Kansas State University. This study is contribution 20-054-J
   from the Kansas Agricultural Experiment Station. We thank the three
   anonymous reviewers and editor for suggestions that improved the
   manuscript.
CR Anderson JT, 2011, TRENDS GENET, V27, P258, DOI 10.1016/j.tig.2011.04.001
   [Anonymous], GRAIN SORGHUM PRODUC
   [Anonymous], THESIS
   [Anonymous], STARR CHESTER CHRON
   Araya A, 2018, AGR WATER MANAGE, V203, P261, DOI 10.1016/j.agwat.2018.03.010
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bernardo R, 2008, CROP SCI, V48, P1649, DOI 10.2135/cropsci2008.03.0131
   Bouchet S, 2017, GENETICS, V206, P573, DOI 10.1534/genetics.116.198499
   Boyles RE, 2017, THEOR APPL GENET, V130, P697, DOI 10.1007/s00122-016-2844-6
   Broman KW, 2003, BIOINFORMATICS, V19, P889, DOI 10.1093/bioinformatics/btg112
   Brown PJ, 2008, GENETICS, V180, P629, DOI 10.1534/genetics.108.092239
   Browning BL, 2016, AM J HUM GENET, V98, P116, DOI 10.1016/j.ajhg.2015.11.020
   Browning BL, 2013, GENETICS, V194, P459, DOI 10.1534/genetics.113.150029
   Buckler ES, 2009, SCIENCE, V325, P714, DOI 10.1126/science.1174276
   Burow G, 2011, MOL BREEDING, V28, P391, DOI 10.1007/s11032-010-9491-4
   Cobb JN, 2019, THEOR APPL GENET, V132, P647, DOI 10.1007/s00122-018-3266-4
   Cooper M, 2014, CROP PASTURE SCI, V65, P311, DOI 10.1071/CP14007
   Cramer W, 1999, GLOBAL CHANGE BIOL, V5, P1, DOI 10.1046/j.1365-2486.1999.00009.x
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Dong HX, 2019, PLANT BIOTECHNOL J, V17, P687, DOI 10.1111/pbi.13008
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Eremina M, 2016, P NATL ACAD SCI USA, V113, pE5982, DOI 10.1073/pnas.1611477113
   Fiedler K, 2016, PLANT BREEDING, V135, P598, DOI 10.1111/pbr.12394
   Franks CD, 2006, CROP SCI, V46, P1371, DOI 10.2135/cropsci2005.08-0279
   Gao YF, 2018, HORTIC RES-ENGLAND, V5, DOI 10.1038/s41438-018-0032-3
   Glaubitz JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090346
   Gu XY, 2011, GENETICS, V189, P1515, DOI 10.1534/genetics.111.131169
   HARLAN JR, 1972, CROP SCI, V12, P172, DOI 10.2135/cropsci1972.0011183X001200020005x
   HELSPER JPFG, 1994, J AGR SCI, V123, P349, DOI 10.1017/S0021859600070350
   Hilley J, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151271
   Hilley JL, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04609-5
   Hirano K, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-00096-w
   Holland JB., 2003, Plant Breed Rev, V22, P109
   Hu YR, 2013, PLANT CELL, V25, P2907, DOI 10.1105/tpc.113.112631
   Hu ZB, 2019, PLANT GENOME-US, V12, DOI 10.3835/plantgenome2018.06.0044
   Jia LG, 2012, J INTEGR PLANT BIOL, V54, P663, DOI 10.1111/j.1744-7909.2012.01142.x
   Jiao YP, 2016, PLANT CELL, V28, P1551, DOI 10.1105/tpc.16.00373
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Kapanigowda MH, 2013, CAN J PLANT SCI, V93, P773, DOI 10.4141/CJPS2012-311
   KARPER RE, 1946, J AM SOC AGRON, V38, P441
   Kimber CT., 2000, Sorghum: Origins, History, Technology, and Production, P3
   Knight MR, 2012, NEW PHYTOL, V195, P737, DOI 10.1111/j.1469-8137.2012.04239.x
   Knoll J, 2008, THEOR APPL GENET, V116, P577, DOI 10.1007/s00122-007-0692-0
   Knoll J, 2008, THEOR APPL GENET, V116, P541, DOI 10.1007/s00122-007-0689-8
   Lasky JR, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400218
   Li S, 2018, NATURE, V560, P595, DOI 10.1038/s41586-018-0415-5
   Li WQ, 2004, NAT BIOTECHNOL, V22, P427, DOI 10.1038/nbt949
   Long SP, 2013, ANNU REV PLANT BIOL, V64, P701, DOI 10.1146/annurev-arplant-050312-120033
   Araus JL, 2014, TRENDS PLANT SCI, V19, P52, DOI 10.1016/j.tplants.2013.09.008
   LYONS JM, 1973, ANNU REV PLANT PHYS, V24, P445, DOI 10.1146/annurev.pp.24.060173.002305
   Ma Y, 2015, CELL, V160, P1209, DOI 10.1016/j.cell.2015.01.046
   Mace ES, 2009, BMC PLANT BIOL, V9, DOI 10.1186/1471-2229-9-13
   MAITI RK, 1981, SEED SCI TECHNOL, V9, P613
   Mao DH, 2019, P NATL ACAD SCI USA, V116, P3494, DOI 10.1073/pnas.1819769116
   McCormick RF, 2018, PLANT J, V93, P338, DOI 10.1111/tpj.13781
   Menz MA, 2004, CROP SCI, V44, P1236, DOI 10.2135/cropsci2004.1236
   Meyer RS, 2013, NAT REV GENET, V14, P840, DOI 10.1038/nrg3605
   Moellering ER, 2010, SCIENCE, V330, P226, DOI 10.1126/science.1191803
   Monk R, 2014, CSSA SPEC PUBL, V33, P293, DOI 10.2135/cssaspecpub33.c11
   Morris GP, 2013, G3-GENES GENOM GENET, V3, P2085, DOI 10.1534/g3.113.008417
   Morris GP, 2013, P NATL ACAD SCI USA, V110, P453, DOI 10.1073/pnas.1215985110
   Multani DS, 2003, SCIENCE, V302, P81, DOI 10.1126/science.1086072
   Nesi N, 2000, PLANT CELL, V12, P1863, DOI 10.1105/tpc.12.10.1863
   Nice LM, 2016, GENETICS, V203, P1453, DOI 10.1534/genetics.116.190736
   Olsen KM, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00290
   Orr HA, 2005, NAT REV GENET, V6, P119, DOI 10.1038/nrg1523
   Ortiz D, 2017, J EXP BOT, V68, P4545, DOI 10.1093/jxb/erx276
   Paaby AB, 2013, TRENDS GENET, V29, P66, DOI 10.1016/j.tig.2012.10.010
   2004, BIOINFORMATICS, V20, P289, DOI DOI 10.1093/BIOINFORMATICS/BTG412
   Park S, 2015, PLANT J, V82, P193, DOI 10.1111/tpj.12796
   Paterson AH, 2009, NATURE, V457, P551, DOI 10.1038/nature07723
   QUINBY JR, 1954, AGRON J, V46, P211, DOI 10.2134/agronj1954.00021962004600050007x
   R Core Team, 2019, R LANG ENV STAT COMP
   Soyk S, 2017, CELL, V169, P1142, DOI 10.1016/j.cell.2017.04.032
   Staggenborg SA, 2005, AGRON J, V97, P378, DOI 10.2134/agronj2005.0378
   Stephens J. C., 1946, JOUR AMER SOC AGRON, V38, P340
   STEPHENS JC, 1967, CROP SCI, V7, P396, DOI 10.2135/cropsci1967.0011183X000700040036x
   STICKLER F. C, 1962, CROP SCI, V2, P136, DOI 10.2135/cropsci1962.0011183X000200020015x
   Thomashow MF, 2001, PLANT PHYSIOL, V125, P89, DOI 10.1104/pp.125.1.89
   Tiryaki I, 2001, AGRON J, V93, P1391, DOI 10.2134/agronj2001.1391
   Tuberosa R, 2012, FRONT PHYSIOL, V3, DOI 10.3389/fphys.2012.00347
   Uga Y, 2013, NAT GENET, V45, P1097, DOI 10.1038/ng.2725
   Wang XL, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00215
   Welti R, 2002, J BIOL CHEM, V277, P31994, DOI 10.1074/jbc.M205375200
   White JW, 2015, AGRON J, V107, P1987, DOI 10.2134/agronj15.0102
   Wu YY, 2012, P NATL ACAD SCI USA, V109, P10281, DOI 10.1073/pnas.1201700109
   Xia XJ, 2018, PLANT CELL ENVIRON, V41, P1052, DOI 10.1111/pce.13052
   Yu JM, 2001, CROP SCI, V41, P1438, DOI 10.2135/cropsci2001.4151438x
   ZENG ZB, 1994, GENETICS, V136, P1457
   Zhang C, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2129-y
   Zhu GT, 2018, CELL, V172, P249, DOI 10.1016/j.cell.2017.12.019
NR 92
TC 32
Z9 39
U1 1
U2 18
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD DEC
PY 2019
VL 9
IS 12
BP 4045
EP 4057
DI 10.1534/g3.119.400353
PG 13
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA KJ3OP
UT WOS:000511967400014
PM 31611346
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU de Koning, K
   Filatova, T
   Need, A
   Bin, O
AF de Koning, Koen
   Filatova, Tatiana
   Need, Ariana
   Bin, Okmyung
TI Avoiding or mitigating flooding: Bottom-up drivers of urban resilience
   to climate change in the USA
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE flood adaptation; coastal flooding; retreat; surveys; housing market;
   Bayesian statistics
ID RISK PERCEPTIONS; PERCEIVED RISK; ADAPTATION; RESPONSES; MIGRATION;
   DECISION; PRICES
AB Coastal areas around the world are urbanizing rapidly, despite the threat of sea level rise and intensifying floods. Such development places an increasing number of people and capital at risk, which calls for public flood management as well as household level adaptation measures that reduce social vulnerability to flooding and climate change. This study explores several private adaptation responses to flood risk, that are driven by various behavioral triggers. We conduct a survey among households in hazard-prone areas in eight coastal states in the USA, of which, some have recently experienced major flooding. While numerous empirical studies have investigated household-level flood damage mitigation, little attention has been given to examining the decision to retreat from flood zones. We examine what behavioral motives drive the choices for flood damage mitigation and relocation separately among property buyers and sellers. Hence, we focus on the drivers that shape demand for future development in flood-prone cities. We find that households' choices to retreat from or to avoid flood zones (1) are highly sensitive to information that provokes people's feelings of fear, and (2) rely on hazardous events to trigger a protective action, which ideally would take place well before these events occur. We highlight that major flooding may cause a potential risk of large-scale outmigration and demographic changes in flood- prone areas, putting more low-income households at risk. Therefore, coordinated policies that integrate bottom- up drivers of individual climate adaptation are needed to increase urban resilience to floods.
C1 [de Koning, Koen; Filatova, Tatiana] Univ Twente, Dept Governance & Technol Sustainabil CSTM, POB 217, NL-7500 AE Enschede, Netherlands.
   [Need, Ariana] Univ Twente, Dept Publ Adm PA, POB 217, NL-7500 AE Enschede, Netherlands.
   [Bin, Okmyung] East Carolina Univ, Ctr Nat Hazards Res, Dept Econ, Greenville, NC 27858 USA.
   [Filatova, Tatiana] Univ Technol Sydney, Sch Informat Syst & Modeling, Fac Engn & IT, 15 Broadway, Ultimo, NSW 2007, Australia.
C3 University of Twente; University of Twente; University of North
   Carolina; East Carolina University; University of Technology Sydney
RP de Koning, K (corresponding author), Univ Twente, Dept Governance & Technol Sustainabil CSTM, POB 217, NL-7500 AE Enschede, Netherlands.
EM k.dekoning@utwente.nl; t.filatova@utwente.nl; a.need@utwente.nl;
   BIN0@ecu.edu
RI Filatova, Tatiana/K-8233-2016
OI Filatova, Tatiana/0000-0002-3546-6930
FU Faculty of Behavioural, Management and Social Sciences (BMS) of the
   University of Twente; European Research Council (ERC) under the European
   Union's Horizon 2020 research and innovation program [758014]; European
   Research Council (ERC) [758014] Funding Source: European Research
   Council (ERC)
FX We are grateful for the financial support provided by the Faculty of
   Behavioural, Management and Social Sciences (BMS) of the University of
   Twente, without which this survey would not have been possible. This
   work was partially funded by the European Research Council (ERC) under
   the European Union's Horizon 2020 research and innovation program (grant
   agreement no. 758014 SCALAR). Furthermore, we would like to thank
   colleagues at the Department of Economics and at the Center for Natural
   Hazards Research, East Carolina University, for their support with
   setting up the survey. Finally, we want to thank Dr. Edward Halteman of
   Survey Design and Analysis for his feedback on the surveys and for his
   support in data collection.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   [Anonymous], 2015, P1037 FEMA
   [Anonymous], 2011, GLOB ASS REP DIS RIS
   [Anonymous], 1990, Report of the IPCC coastal zone management subgroup: Intergovernmental Panel on Climate Change
   Atreya A., 2012, Flood Risk and Homeowners' Flood Risk Perceptions: Evidence from Property Prices in Georgia, P5
   Beltrán A, 2018, ECOL ECON, V146, P668, DOI 10.1016/j.ecolecon.2017.12.015
   Bin O., 2006, Natural Hazards Review, V7, P137, DOI DOI 10.1061/(ASCE)1527-6988(2006)7:4(137)
   Bin O, 2008, J RISK INSUR, V75, P63, DOI 10.1111/j.1539-6975.2007.00248.x
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Black R, 2013, ENVIRON SCI POLICY, V27, pS32, DOI 10.1016/j.envsci.2012.09.001
   Black R, 2011, ENVIRON PLANN A, V43, P431, DOI 10.1068/a43154
   Botzen WJW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007743
   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
   Daniel VE, 2009, ECOL ECON, V69, P355, DOI 10.1016/j.ecolecon.2009.08.018
   de Koning K, 2018, ENVIRON RESOUR ECON, V69, P247, DOI 10.1007/s10640-016-0076-5
   Ellison AM, 2004, ECOL LETT, V7, P509, DOI 10.1111/j.1461-0248.2004.00603.x
   Filatova T, 2014, ENVIRON SCI POLICY, V37, P227, DOI 10.1016/j.envsci.2013.09.005
   Freudenberg R., 2016, Buy-in for buyouts: the case for managed retreat from flood zones
   Ge Y, 2011, RISK ANAL, V31, P1676, DOI 10.1111/j.1539-6924.2011.01606.x
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Hallstrom DG, 2005, J ENVIRON ECON MANAG, V50, P541, DOI 10.1016/j.jeem.2005.05.002
   Ho MC, 2008, RISK ANAL, V28, P635, DOI 10.1111/j.1539-6924.2008.01040.x
   Howson C., 2006, SCI REASONING, V3rd
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Katapodi MC, 2004, PREV MED, V38, P388, DOI 10.1016/j.ypmed.2003.11.012
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   Koerth J, 2017, RISK ANAL, V37, P629, DOI 10.1111/risa.12663
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   National Hurricane Center, 2018, COSTL US TROP CYCL T
   National Weather Service, 2018, HYDR INF CTR FLOOD L
   Osberghaus D, 2017, GLOBAL ENVIRON CHANG, V43, P126, DOI 10.1016/j.gloenvcha.2017.02.003
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   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]
   Pryce G, 2011, HOUSING STUD, V26, P259, DOI 10.1080/02673037.2011.542086
   Rey-Valette H, 2019, CLIM POLICY, V19, P206, DOI 10.1080/14693062.2018.1482823
   ROSEN S, 1974, J POLIT ECON, V82, P34, DOI 10.1086/260169
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Slovic P, 2005, HEALTH PSYCHOL, V24, pS35, DOI 10.1037/0278-6133.24.4.S35
   Song J, 2018, MITIG ADAPT STRAT GL, V23, P703, DOI 10.1007/s11027-017-9756-x
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Treuer G, 2018, GLOBAL ENVIRON CHANG, V48, P108, DOI 10.1016/j.gloenvcha.2017.10.008
   Trumbo C, 2014, RISK ANAL, V34, P1013, DOI 10.1111/risa.12149
   van Duinen R, 2015, RISK ANAL, V35, P741, DOI 10.1111/risa.12299
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Weinstein ND, 2000, HEALTH PSYCHOL, V19, P65, DOI 10.1037/0278-6133.19.1.65
   Weinstein ND, 2007, HEALTH PSYCHOL, V26, P146, DOI 10.1037/0278-6133.26.2.146
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
   Zaninetti JM, 2012, URBAN GEOGR, V33, P675, DOI 10.2747/0272-3638.33.5.675
   Zillow, 2018, DAT HOM VAL
NR 57
TC 39
Z9 44
U1 3
U2 75
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 101981
DI 10.1016/j.gloenvcha.2019.101981
PG 21
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:000501648400002
OA Green Published
DA 2025-01-10
ER

PT J
AU Shields, EJ
   Testa, AM
   O'Neil, WJ
AF Shields, Elson J.
   Testa, Antonio M.
   O'Neil, Walker J.
TI Long-term Persistence of Native New York Entomopathogenic Nematode
   Isolates Across Crop Rotation
SO JOURNAL OF ECONOMIC ENTOMOLOGY
LA English
DT Article
DE Persistent Entomopathogenic Nematodes; Persistence across crop rotation;
   EPN
ID ALFALFA SNOUT BEETLE; BIOLOGICAL-CONTROL; STEINERNEMA-CARPOCAPSAE;
   FORAGING STRATEGY; COLEOPTERA; HETERORHABDITIDAE; RHABDITIDA; BEHAVIOR
AB Entompathogenic nematodes are found worldwide in a wide array of soil habitats with a broad host range and significant variation in foraging strategies. The primary use of entomopathogenic nematodes (EPNs) in managed plant systems has been focused on inundative releases in a biopesticide strategy. Little effort has been placed in investigating the use of natural occurring or adapted EPN strains for long-term suppression of pest outbreaks in managed systems. This study examined the potential of EPN isolates from Northern New York (NNY), inoculated at a low level (250 million IJ/ha), which are climate adapted and their persistent characteristics preserved to maintain population levels in agricultural fields (N = 82) for multiple years and across crop rotation (alfalfa: corn: alfalfa). Persistence levels for Steinernema carpocapsae (Weiser) (Rhabditida: Steinernematidae) ranged between 8 and 12% of the soil cores assayed in continuous alfalfa and 1-14% of the soil cores assayed in continuous corn rotated from EPN treated alfalfa. Steinernema feltiae (Filipjev) (Rhabditida: Steinernematidae) residual persistence level ranged between 17 and 32% in continuous alfalfa and 22-41% in continuous corn rotated from EPN treated alfalfa. Combined EPN level ranged between 27 and 43% of the soil cores in continuous alfalfa and 28-55% in continuous corn rotated from EPN-treated alfalfa. Inspection of individual fields suggested EPN populations established in prior years at the residual soil core level of 18-35% can respond positively to an increase of susceptible hosts in both alfalfa and corn, often increasing their presence to 100%.
C1 [Shields, Elson J.; Testa, Antonio M.; O'Neil, Walker J.] Cornell Univ, Dept Entomol, 4144 Comstock Hall, Ithaca, NY 14853 USA.
C3 Cornell University
RP Shields, EJ (corresponding author), Cornell Univ, Dept Entomol, 4144 Comstock Hall, Ithaca, NY 14853 USA.
EM es28@cornell.edu
FU Northern NY Agricultural Development Program; Cornell University; NY
   Farm Viability Institute
FX We thank the Northern NY Agricultural Development Program, NY Farm
   Viability Institute and Cornell University for funding this research. We
   also thank the 37 summer student field assistants who helped collect and
   bioassay more than 50,000 soil cores for EPNs between 2007 and 2016 for
   this study.
CR Adams BJ, 2006, BIOL CONTROL, V37, P32, DOI 10.1016/j.biocontrol.2005.11.008
   Campbell JF, 1997, FUND APPL NEMATOL, V20, P393
   Campos-Herrera R, 2013, SOIL BIOL BIOCHEM, V66, P163, DOI 10.1016/j.soilbio.2013.07.011
   FERGUSON CS, 1995, ENVIRON ENTOMOL, V24, P149, DOI 10.1093/ee/24.1.149
   Gaugler R, 1992, BIOL CONTROL, V2, P181, DOI 10.1016/1049-9644(92)90057-K
   GREWAL PS, 1994, PARASITOLOGY, V108, P207, DOI 10.1017/S003118200006830X
   HARA AH, 1991, ENVIRON ENTOMOL, V20, P211, DOI 10.1093/ee/20.1.211
   Hominick William M., 2002, P115, DOI 10.1079/9780851995670.0115
   Kaya H.K., 1990, P93
   KAYA HK, 1993, ANNU REV ENTOMOL, V38, P181, DOI 10.1146/annurev.en.38.010193.001145
   Lewis E.E., 1998, P235, DOI 10.1016/B978-012078147-8/50059-1
   LEWIS EE, 1992, PARASITOLOGY, V105, P309, DOI 10.1017/S0031182000074230
   LEWIS EE, 1993, CAN J ZOOL, V71, P765, DOI 10.1139/z93-101
   Lewis EE, 1996, PARASITOLOGY, V113, P573, DOI 10.1017/S0031182000067627
   Neumann G., 2007, THESIS, P113
   Neumann G, 2008, J ECON ENTOMOL, V101, P1533, DOI 10.1603/0022-0493(2008)101[1533:MNEAFB]2.0.CO;2
   Poinar G. O., 1984, NATURAL HIST NEMATOD
   Shields E. J., 2009, American Entomologist, V55, P250
   Shields EJ, 1999, ENVIRON ENTOMOL, V28, P128, DOI 10.1093/ee/28.1.128
   Shields Elson J., 2017, American Entomologist, V63, P216, DOI 10.1093/ae/tmx046
   Shields EJ, 2015, SUST PLANT CROP PRO, V1, P165, DOI 10.1007/978-3-319-18266-7_6
   Systat Software Inc, 2009, SIGMAPLOT 11 2 US 2
   Testa AM, 2017, BIOL CONTROL, V106, P77, DOI 10.1016/j.biocontrol.2017.01.002
   WHITE G. F., 1927, SCIENCE, V66, P302, DOI 10.1126/science.66.1709.302-a
   Wilson MJ, 2012, NEMATOLOGY, V14, P389, DOI 10.1163/156854111X617428
   Woodring J.L, 1988, SO COOPERATIVE SERIE, V331
NR 26
TC 8
Z9 11
U1 0
U2 14
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0022-0493
EI 1938-291X
J9 J ECON ENTOMOL
JI J. Econ. Entomol.
PD DEC
PY 2018
VL 111
IS 6
BP 2592
EP 2598
DI 10.1093/jee/toy258
PG 7
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA HJ1SF
UT WOS:000456943800012
PM 30169810
DA 2025-01-10
ER

PT J
AU Lamb, AM
   Gan, HM
   Greening, C
   Joseph, L
   Lee, YP
   Morán-Ordóñez, A
   Sunnucks, P
   Pavlova, A
AF Lamb, Annika Mae
   Gan, Han Ming
   Greening, Chris
   Joseph, Leo
   Lee, Yin Peng
   Moran-Ordonez, Alejandra
   Sunnucks, Paul
   Pavlova, Alexandra
TI Climate-driven mitochondrial selection: A test in Australian songbirds
SO MOLECULAR ECOLOGY
LA English
DT Article
DE avian phylogeography; climatic adaptation; mitochondrial genome;
   molecular evolution; natural selection; oxidative phosphorylation
ID METABOLIC-RATE; COMPLEX I; PHYLOGENETIC ANALYSIS; NUCLEAR COEVOLUTION;
   NATURAL-SELECTION; LOCAL ADAPTATION; GENE FLOW; EVOLUTION; DNA;
   PHYLOGEOGRAPHY
AB Diversifying selection between populations that inhabit different environments can promote lineage divergence within species and ultimately drive speciation. The mitochondrial genome (mitogenome) encodes essential proteins of the oxidative phosphorylation (OXPHOS) system and can be a strong target for climate-driven selection (i.e., associated with inhabiting different climates). We investigated whether Pleistocene climate changes drove mitochondrial selection and evolution within Australian birds. First, using phylogeographic analyses of the mitochondrial ND2 gene for 17 songbird species, we identified mitochondrial clades (mitolineages). Second, using distance-based redundancy analyses, we tested whether climate predicts variation in intraspecific genetic divergence beyond that explained by geographic distances and geographic position. Third, we analysed 41 complete mitogenome sequences representing each mitolineage of 17 species using codon models in a phylogenetic framework and a biochemical approach to identify signals of selection on OXPHOS protein-coding genes and test for parallel selection in mitolineages of different species existing in similar climates. Of 17 species examined, 13 had multiple mitolineages (range: 2-6). Climate was a significant predictor of mitochondrial variation in eight species. At least two amino acid replacements in OXPHOS complex I could have evolved under positive selection in specific mitolineages of two species. Protein homology modelling showed one of these to be in the loop region of the ND6 protein channel and the other in the functionally critical helix HL region of ND5. These findings call for direct tests of the functional and evolutionary significance of mitochondrial protein candidates for climate-associated selection.
C1 [Lamb, Annika Mae; Greening, Chris; Sunnucks, Paul; Pavlova, Alexandra] Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
   [Gan, Han Ming; Lee, Yin Peng] Monash Univ Malaysia, Sch Sci, Bandar Sunway, Selangor, Malaysia.
   [Gan, Han Ming] Deakin Univ, Sch Life & Environm Sci, Ctr Integrat Ecol, Waurn Ponds, Vic, Australia.
   [Joseph, Leo] CSIRO Natl Res Collect, Australian Natl Wildlife Collect, Canberra, ACT, Australia.
   [Moran-Ordonez, Alejandra] Forest Sci Ctr Catalonia, InForest Joint Res Unit CTFC CREAF, Solsona, Catalonia, Spain.
C3 Monash University; Monash University; Monash University Malaysia; Deakin
   University; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); Centro de Investigacion Ecologica y Aplicaciones Forestales
   (CREAF-CERCA); Centre Tecnologic Forestal de Catalunya (CTFC)
RP Pavlova, A (corresponding author), Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
EM alexandra.pavlova@monash.edu
RI Joseph, Leo/F-9235-2010; Greening, Chris/J-4408-2019; Gan,
   Han/AAF-9519-2019; Morán-Ordóñez, Alejandra/AAB-3385-2021; Pavlova,
   Alexandra/H-4749-2014
OI Greening, Chris/0000-0001-7616-0594; Pavlova,
   Alexandra/0000-0001-9455-4124; Moran-Ordonez,
   Alejandra/0000-0002-5815-6089; Gan, Han Ming/0000-0001-7987-738X
FU Australian National Wildlife Collection - CSIRO; Faculty of Science,
   Monash University, School of Biological Sciences Women in Science Award;
   Department of Environment, Land, Water and Planning; Goulburn Broken
   Catchment Management Authority; North Central Catchment Management
   Authority; Museum Victoria; Parks Victoria; Australian Research Council,
   DECRA Fellowship [DE170100310]; Australian Research Council, Linkage
   Grant [LP0776322]
FX Australian National Wildlife Collection - CSIRO; Faculty of Science,
   Monash University, Grant/Award Number: School of Biological Sciences
   Women in Science Award; Department of Environment, Land, Water and
   Planning; Goulburn Broken Catchment Management Authority; North Central
   Catchment Management Authority; Museum Victoria; Parks Victoria;
   Australian Research Council, Grant/Award Number: DECRA Fellowship
   DE170100310, Linkage Grant LP0776322
CR Alfaro ME, 2006, ANNU REV ECOL EVOL S, V37, P19, DOI 10.1146/annurev.ecolsys.37.091305.110021
   Allegretti M, 2015, NATURE, V521, P237, DOI 10.1038/nature14185
   Andersen MJ, 2014, ZOOL J LINN SOC-LOND, V170, P566, DOI 10.1111/zoj.12088
   [Anonymous], 2017, Vegan: Community Ecology Package
   [Anonymous], BIRD SPECIATION AUST
   [Anonymous], BIORXIV
   [Anonymous], ECOGRAPHY
   [Anonymous], MITOCHONDRIAL UNPUB
   [Anonymous], PLEISTOCENE DA UNPUB
   [Anonymous], 2009, AUSTR WATER AVAILABI
   [Anonymous], 2015, BAYESIAN EVOLUTIONAR, DOI DOI 10.1017/CBO9781139095112
   [Anonymous], MOL ECOL
   [Anonymous], 2014, R: a Language and Environment for Statistical Computing
   Bailey SF, 2015, MOL BIOL EVOL, V32, P1436, DOI 10.1093/molbev/msv033
   Ballard JWO, 2005, ANNU REV ECOL EVOL S, V36, P621, DOI 10.1146/annurev.ecolsys.36.091704.175513
   Balloux F, 2009, P ROY SOC B-BIOL SCI, V276, P3447, DOI 10.1098/rspb.2009.0752
   Bar-Yaacov D, 2012, BBA-GENE REGUL MECH, V1819, P1107, DOI 10.1016/j.bbagrm.2011.10.008
   Bazin E, 2006, SCIENCE, V312, P570, DOI 10.1126/science.1122033
   Bernt M, 2013, MOL PHYLOGENET EVOL, V69, P313, DOI 10.1016/j.ympev.2012.08.023
   Biasini M, 2014, NUCLEIC ACIDS RES, V42, pW252, DOI 10.1093/nar/gku340
   Brand MD, 2000, EXP GERONTOL, V35, P811, DOI 10.1016/S0531-5565(00)00135-2
   Briscoe NJ, 2016, GLOBAL CHANGE BIOL, V22, P2425, DOI 10.1111/gcb.13280
   Byrne M, 2008, QUATERNARY SCI REV, V27, P2576, DOI 10.1016/j.quascirev.2008.08.032
   Byrne M, 2011, J BIOGEOGR, V38, P1635, DOI 10.1111/j.1365-2699.2011.02535.x
   Chan YL, 2014, MOL BIOL EVOL, V31, P2501, DOI 10.1093/molbev/msu187
   Chapple DG, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-191
   Cheviron ZA, 2014, MOL BIOL EVOL, V31, P2948, DOI 10.1093/molbev/msu234
   Cheviron ZA, 2009, EVOLUTION, V63, P1593, DOI 10.1111/j.1558-5646.2009.00644.x
   Chikina M, 2016, MOL BIOL EVOL, V33, P2182, DOI 10.1093/molbev/msw112
   Chinnery PF, 2001, BRAIN, V124, P209, DOI 10.1093/brain/124.1.209
   da Fonseca RR, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-119
   Delport W, 2010, BIOINFORMATICS, V26, P2455, DOI 10.1093/bioinformatics/btq429
   Dolman G, 2016, BMC EVOL BIOL, V16, DOI 10.1186/s12862-016-0798-6
   Dolman G, 2015, EMU, V115, P35, DOI 10.1071/MU14047
   Dolman G, 2012, ECOL EVOL, V2, P354, DOI 10.1002/ece3.87
   Drummond AJ, 2005, MOL BIOL EVOL, V22, P1185, DOI [10.1093/molbev/msi103, 10.1093/molbev/mss075]
   Drummond AJ, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-214
   EDWARDS SV, 1993, P ROY SOC B-BIOL SCI, V252, P177, DOI 10.1098/rspb.1993.0063
   Fangue NA, 2009, J EXP BIOL, V212, P514, DOI 10.1242/jeb.024034
   Fiedorczuk K, 2016, NATURE, V538, P406, DOI 10.1038/nature19794
   Fontanillas P, 2005, MOL ECOL, V14, P661, DOI 10.1111/j.1365-294X.2004.02414.x
   FORD J, 1987, EMU, V87, P90, DOI 10.1071/MU9870090
   Gan HM, 2014, BMC EVOL BIOL, V14, DOI 10.1186/1471-2148-14-19
   Garvin MR, 2017, METHODS ECOL EVOL, V8, P821, DOI 10.1111/2041-210X.12698
   Garvin MR, 2015, GENOME BIOL EVOL, V7, P1404, DOI 10.1093/gbe/evv078
   Garvin Michael R., 2015, Journal of Zoological Systematics and Evolutionary Research, V53, P1
   Garvin MR, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024127
   Gershoni M, 2014, GENOME BIOL EVOL, V6, P2665, DOI 10.1093/gbe/evu208
   Gershoni M, 2009, BIOESSAYS, V31, P642, DOI 10.1002/bies.200800139
   Gresham D, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000134
   Gu JK, 2016, NATURE, V537, P639, DOI 10.1038/nature19359
   Hackett SJ, 1996, MOL PHYLOGENET EVOL, V5, P368, DOI 10.1006/mpev.1996.0032
   Hahn A, 2016, MOL CELL, V63, P445, DOI 10.1016/j.molcel.2016.05.037
   Hahn C, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gkt371
   Harrisson K, 2016, HEREDITY, V116, P506, DOI 10.1038/hdy.2016.8
   Harrisson KA, 2012, LANDSCAPE ECOL, V27, P813, DOI 10.1007/s10980-012-9743-2
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hill GE, 2015, MOL BIOL EVOL, V32, P1917, DOI 10.1093/molbev/msv104
   Ho SYW, 2007, SYST BIOL, V56, P515, DOI 10.1080/10635150701435401
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Huelsenbeck JP, 2001, BIOINFORMATICS, V17, P754, DOI 10.1093/bioinformatics/17.8.754
   Joseph L, 2014, ZOOTAXA, V3900, P294, DOI 10.11646/zootaxa.3900.2.10
   Joseph L, 2009, EMU, V109, P1, DOI 10.1071/MU08024
   Kearns AM, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4994
   Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
   Lanfear R, 2012, MOL BIOL EVOL, V29, P1695, DOI 10.1093/molbev/mss020
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Lee JY, 2008, EVOLUTION, V62, P3117, DOI 10.1111/j.1558-5646.2008.00543.x
   Legendre P, 1999, ECOL MONOGR, V69, P1, DOI 10.1890/0012-9615(1999)069[0001:DBRATM]2.0.CO;2
   Lemay MA, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-311
   Lerner HRL, 2011, CURR BIOL, V21, P1838, DOI 10.1016/j.cub.2011.09.039
   Letts JA, 2016, NATURE, V537, P644, DOI 10.1038/nature19774
   Levin L, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00448
   Lowell BB, 2000, NATURE, V404, P652, DOI 10.1038/35007527
   McClellan David A, 2010, Int J Bioinform Res Appl, V6, P120, DOI 10.1504/IJBRA.2010.032116
   Meiklejohn CD, 2007, TRENDS GENET, V23, P259, DOI 10.1016/j.tig.2007.03.008
   Melo-Ferreira J, 2014, GENOME BIOL EVOL, V6, P886, DOI 10.1093/gbe/evu059
   Mimaki M, 2012, BBA-BIOENERGETICS, V1817, P851, DOI 10.1016/j.bbabio.2011.08.010
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Morales HE, 2017, MOL ECOL, V26, P3241, DOI 10.1111/mec.14114
   Morales HE, 2017, J BIOGEOGR, V44, P522, DOI 10.1111/jbi.12942
   Morales HE, 2015, MOL ECOL, V24, P2820, DOI 10.1111/mec.13203
   Morán-Ordóñez A, 2017, GLOBAL ECOL BIOGEOGR, V26, P371, DOI 10.1111/geb.12545
   Mueller P, 2001, P NATL ACAD SCI USA, V98, P12550, DOI 10.1073/pnas.221456698
   Murphy MP, 2009, BIOCHEM J, V417, P1, DOI 10.1042/BJ20081386
   Murrell B, 2013, MOL BIOL EVOL, V30, P1196, DOI 10.1093/molbev/mst030
   Murrell B, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002764
   Nicholls DG., 2013, BIOENERGETICS
   Pavlova A., 2004, COMP PHYLOGEOGRAPHY
   Pavlova A, 2006, J HERED, V97, P389, DOI 10.1093/jhered/esl011
   Pavlova A, 2014, BIOL CONSERV, V174, P136, DOI 10.1016/j.biocon.2014.04.005
   Pavlova A, 2013, EVOLUTION, V67, P3412, DOI 10.1111/evo.12107
   Pettersen EF, 2004, J COMPUT CHEM, V25, P1605, DOI 10.1002/jcc.20084
   Portner H.O., 1998, Cold Ocean Physiology, P88
   QGIS Development Team, 2017, QGIS Geographic Information System Ver. 2.18.4
   Rambaut A., 2007, TRACER VERSION 1 4
   Rambaut A., 2014, FigTree v. 1.4.2
   Rand DM, 2004, TRENDS ECOL EVOL, V19, P645, DOI 10.1016/j.tree.2004.10.003
   Rand DM, 2001, ANNU REV ECOL SYST, V32, P415, DOI 10.1146/annurev.ecolsys.32.081501.114109
   RAUPACH MR, 2012, AUSTR WATER AVAILABI
   Reside AE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013569
   Rolfe DFS, 1997, PHYSIOL REV, V77, P731, DOI 10.1152/physrev.1997.77.3.731
   Ruiz-Pesini E, 2004, SCIENCE, V303, P223, DOI 10.1126/science.1088434
   Saraste M, 1999, SCIENCE, V283, P1488, DOI 10.1126/science.283.5407.1488
   Schodde R., 1999, Directory of Australian Birds: Non-Passerines
   Scott GR, 2011, MOL BIOL EVOL, V28, P351, DOI 10.1093/molbev/msq205
   Slack KE, 2007, MOL PHYLOGENET EVOL, V42, P1, DOI 10.1016/j.ympev.2006.06.002
   Spor A, 2014, EVOLUTION, V68, P772, DOI 10.1111/evo.12302
   Stager M, 2014, GENE, V546, P104, DOI 10.1016/j.gene.2014.05.019
   Steimle S, 2011, BIOCHEMISTRY-US, V50, P3386, DOI 10.1021/bi200264q
   Stern H, 2000, AUST METEOROL MAG, V49, P87
   Stier A, 2014, J COMP PHYSIOL B, V184, P1021, DOI 10.1007/s00360-014-0856-6
   Sunnucks P, 2017, FRONT GENET, V8, DOI 10.3389/fgene.2017.00025
   Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
   Taylor RW, 2005, NAT REV GENET, V6, P389, DOI 10.1038/nrg1606
   Tieleman BI, 2003, P ROY SOC B-BIOL SCI, V270, P207, DOI 10.1098/rspb.2002.2205
   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
   Torres-Bacete J, 2011, J BIOL CHEM, V286, P34007, DOI 10.1074/jbc.M111.260968
   Vasseur DA, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2612
   WEATHERS WW, 1979, OECOLOGIA, V42, P81, DOI 10.1007/BF00347620
   Welch AJ, 2014, GENOME BIOL EVOL, V6, P433, DOI 10.1093/gbe/evu025
   White CR, 2007, P ROY SOC B-BIOL SCI, V274, P287, DOI 10.1098/rspb.2006.3727
   Woolley S, 2003, BIOINFORMATICS, V19, P671, DOI 10.1093/bioinformatics/btg043
   Wu M, 2016, CELL, V167, P1598, DOI 10.1016/j.cell.2016.11.012
   Yang ZH, 2005, MOL BIOL EVOL, V22, P1107, DOI 10.1093/molbev/msi097
   Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
   Yano N, 2016, J BIOL CHEM, V291, P23882, DOI 10.1074/jbc.M115.711770
   Zhang JZ, 2005, MOL BIOL EVOL, V22, P2472, DOI 10.1093/molbev/msi237
   Zhang JZ, 1997, MOL BIOL EVOL, V14, P527, DOI 10.1093/oxfordjournals.molbev.a025789
   Zhang Y, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-40
   Zhu JP, 2016, NATURE, V536, P354, DOI 10.1038/nature19095
   Zink RM, 2008, J ORNITHOL, V149, P399, DOI 10.1007/s10336-008-0276-z
   Zink RM, 2006, P ROY SOC B-BIOL SCI, V273, P1245, DOI 10.1098/rspb.2005.3414
NR 134
TC 35
Z9 36
U1 1
U2 46
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD FEB
PY 2018
VL 27
IS 4
BP 898
EP 918
DI 10.1111/mec.14488
PG 21
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA GB1FR
UT WOS:000428797100008
PM 29334409
OA Green Published
DA 2025-01-10
ER

PT J
AU Chu, A
   Lin, YC
   Chiueh, PT
AF Chu, Andrea
   Lin, Ying-Chen
   Chiueh, Pei-Te
TI Incorporating the effect of urbanization in measuring climate adaptive
   capacity
SO LAND USE POLICY
LA English
DT Article
DE Urbanization; Land use change; Climate change; Adaptive capacity;
   Adaptation
ID LAND-USE CHANGE; VULNERABILITY INDEX; COASTAL COMMUNITIES; NATURAL
   DISASTERS; ADAPTATION; TEMPERATURE; RESILIENCE; STRATEGIES; AUSTRALIA;
   TAIWAN
AB Measuring the ability of a community to face climatic changes, or its adaptive capacity, is necessary in order to plan and guide development as the global climate continues to warm. One factor that has not been thoroughly addressed by previous attempts at measuring adaptive capacity is urbanization. This study looks to measure adaptive capacity in relation to urbanization, as many areas of the world are undergoing this rapid transition. An indicator system was created with land-use sensitive measures and applied to three different land use projection scenarios (A, BAU, and B - high, medium, and low growth, respectively) to 2030 and 2050 for two case study areas, Tamsui, Taiwan and West Palm Beach, USA. In Tamsui, the adaptive capacity decreased in all scenarios, but most dramatically for the high growth scenario. The low growth scenario decreased more slowly through each time slice. For West Palm Beach, the high growth scenario had the highest score in 2030, but declined in 2050. The medium growth Scenario BAU, also had a higher adaptive capacity score in 2030 than in 2050. The low growth Scenario B had a score that improved less dramatically but continued to rise through 2050. Scenario A would be ideal for short term gains, but its benefits would plateau in the long term. Scenario B, with conservation measures and more restricted growth would be the most ideal alternative. This study shows that urbanization has short term socioeconomic gains, but long term environmental consequences. The results also successfully incorporates the effect of land use change into an adaptive capacity indicator system, and can be applied in other localities expecting significant increases in urbanization.
C1 [Chu, Andrea; Lin, Ying-Chen; Chiueh, Pei-Te] Natl Taiwan Univ, Grad Inst Environm Engn, 71,Chou Shan Rd, Taipei 106, Taiwan.
C3 National Taiwan University
RP Chiueh, PT (corresponding author), Natl Taiwan Univ, Grad Inst Environm Engn, 71,Chou Shan Rd, Taipei 106, Taiwan.
EM ptchueh@ntu.edu.tw
OI Lin, Ying-Chen/0000-0002-0691-8520
CR Acosta L, 2013, GLOBAL ENVIRON CHANG, V23, P1211, DOI 10.1016/j.gloenvcha.2013.03.008
   Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   [Anonymous], 2007, ECOL SOC
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 2010, State of the World's cities 2010/2011- cities for all: Bridging the urban divide
   [Anonymous], APPL GIS
   Beggs J. J., 2010, RURAL SOC, V61, P306, DOI DOI 10.1111/j.1549-0831.1996.tb00622.x
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Catanese A. J., 2006, CHARTING COURSE S FL
   Cheng J, 2014, INT J BIOMETEOROL, V58, P2011, DOI 10.1007/s00484-014-0797-5
   Chou TL, 2008, INT DEV PLANN REV, V30, P67, DOI 10.3828/idpr.30.1.3
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   Daramola AY, 2016, INT J DISAST RISK RE, V15, P132, DOI 10.1016/j.ijdrr.2016.01.007
   Elmqvist Thomas, 2013, P719
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Field CN, 2014, Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the IntergovernmentalPanel on Climate Change.
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Fragkias M, 2016, ROUT INT HANDB, P9
   Fu P, 2016, REMOTE SENS ENVIRON, V175, P205, DOI 10.1016/j.rse.2015.12.040
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Goldman MJ, 2013, GLOBAL ENVIRON CHANG, V23, P588, DOI 10.1016/j.gloenvcha.2013.02.010
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Haines-Young R, 2009, LAND USE POLICY, V26, pS178, DOI 10.1016/j.landusepol.2009.08.009
   Heikkila T, 2013, ENVIRON SCI POLICY, V25, P73, DOI 10.1016/j.envsci.2012.09.013
   Hogarth JR, 2016, J RURAL STUD, V43, P248, DOI 10.1016/j.jrurstud.2015.12.005
   Hope KR, 1996, GEOFORUM, V27, P53, DOI 10.1016/0016-7185(95)00031-3
   Huang SL, 2007, ECOL MODEL, V205, P255, DOI 10.1016/j.ecolmodel.2007.02.023
   Huang YF, 2012, ENVIRON SCI POLICY, V23, P133, DOI 10.1016/j.envsci.2012.06.017
   IPCC, 2000, GROUP
   Jones AD, 2013, J CLIMATE, V26, P3657, DOI 10.1175/JCLI-D-12-00377.1
   Jubeh G, 2012, WATER RESOUR MANAG, V26, P4147, DOI 10.1007/s11269-012-0137-7
   Kelly P. M., 2000, CLIMATIC CHANGE, V47, P172
   Klosterman R., 2016, WHAT IF 2 0
   Lee HL, 2009, PADDY WATER ENVIRON, V7, P321, DOI 10.1007/s10333-009-0181-y
   Li XX, 2016, REMOTE SENS ENVIRON, V174, P233, DOI 10.1016/j.rse.2015.12.022
   Liao CH, 2013, INT J ENVIRON SCI TE, V10, P1275, DOI 10.1007/s13762-012-0155-2
   Lin YC, 2013, ECOL INDIC, V32, P42, DOI 10.1016/j.ecolind.2013.03.009
   Lin YP, 2007, LANDSCAPE URBAN PLAN, V80, P111, DOI 10.1016/j.landurbplan.2006.06.007
   Lin YP, 2009, LANDSCAPE URBAN PLAN, V92, P242, DOI 10.1016/j.landurbplan.2009.05.003
   Nhuan MT, 2016, URBAN CLIM, V15, P60, DOI 10.1016/j.uclim.2016.01.002
   Maimaitiyiming M, 2014, ISPRS J PHOTOGRAMM, V89, P59, DOI 10.1016/j.isprsjprs.2013.12.010
   Marshall CH, 2003, NATURE, V426, P29, DOI 10.1038/426029a
   McManus P, 2014, URBAN CLIM, V10, P1, DOI 10.1016/j.uclim.2014.08.003
   Metzger MJ, 2006, AGR ECOSYST ENVIRON, V114, P69, DOI 10.1016/j.agee.2005.11.025
   Monterroso A, 2014, MITIG ADAPT STRAT GL, V19, P445, DOI 10.1007/s11027-012-9442-y
   Ostwald M, 2007, GEOGR ANN A, V89A, P223, DOI 10.1111/j.1468-0459.2007.00322.x
   Panda A, 2013, GLOBAL ENVIRON CHANG, V23, P782, DOI 10.1016/j.gloenvcha.2013.03.002
   Pandey R, 2015, APPL GEOGR, V64, P74, DOI 10.1016/j.apgeog.2015.09.008
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pettit CJ, 2005, ENVIRON PLANN B, V32, P523, DOI 10.1068/b31109
   Pielke RA, 2011, WIRES CLIM CHANGE, V2, P828, DOI 10.1002/wcc.144
   Posey J, 2009, GLOBAL ENVIRON CHANG, V19, P482, DOI 10.1016/j.gloenvcha.2009.06.003
   Pyke CR, 2007, CLIMATIC CHANGE, V80, P239, DOI 10.1007/s10584-006-9110-x
   Quirog S, 2015, ENVIRON SCI POLICY, V45, P53, DOI 10.1016/j.envsci.2014.09.007
   Remondi F, 2016, SUSTAIN CITIES SOC, V20, P210, DOI 10.1016/j.scs.2015.10.001
   Salik KM, 2015, OCEAN COAST MANAGE, V112, P61, DOI 10.1016/j.ocecoaman.2015.05.006
   Sanchez-Rodriguez R, 2005, 15 INT HUM DIM PROGR
   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
   United Nations Department of Economic and Social Affairs (UN-DESA), 2016, WORLDS CIT
   United Nations Department of Economic and Social Affairs (UN-DESA), 2016, POL SPAT DISTR URB D
   United Nations Department of Economic and Social Affairs (UN-DESA), 2015, POP DIV WORLD URB PR
   Verburg PH, 2015, ANTHROPOCENE, V12, P29, DOI 10.1016/j.ancene.2015.09.004
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Xenarios S., 2016, Water Resources and Rural Development, V7, P1, DOI DOI 10.1016/J.WRR.2015.11.001
   Xu ZW, 2013, ENVIRON HEALTH-GLOB, V12, DOI 10.1186/1476-069X-12-12
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zhou WH, 2014, ENVIRON RES, V135, P81, DOI 10.1016/j.envres.2014.08.025
   Ziersch AM, 2009, AUST NZ J PUBL HEAL, V33, P7, DOI 10.1111/j.1753-6405.2009.00332.x
NR 71
TC 12
Z9 12
U1 1
U2 27
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 NOV
PY 2017
VL 68
BP 28
EP 38
DI 10.1016/j.landusepol.2017.07.019
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FJ9UE
UT WOS:000413126200003
DA 2025-01-10
ER

PT J
AU Seguchi, N
   Quintyn, CB
   Yonemoto, S
   Takamuku, H
AF Seguchi, Noriko
   Quintyn, Conrad B.
   Yonemoto, Shiori
   Takamuku, Hirofumi
TI An assessment of postcranial indices, ratios, and body mass versus
   eco-geographical variables of prehistoric Jomon, Yayoi agriculturalists,
   and Kumejima Islanders of Japan
SO AMERICAN JOURNAL OF HUMAN BIOLOGY
LA English
DT Article
ID MITOCHONDRIAL-DNA ANALYSIS; HUMAN SKELETAL REMAINS; LONG-BONE GROWTH;
   POPULATION HISTORY; CRANIOMETRIC VARIATION; ECOLOGICAL RULES; LIMB
   PROPORTIONS; HEAT REGULATION; GENETIC DRIFT; PERIOD
AB ObjectivesWe explore variations in body and limb proportions of the Jomon hunter-gatherers (14,000-2500 BP), the Yayoi agriculturalists (2500-1700 BP) of Japan, and the Kumejima Islanders of the Ryukyus (1600-1800 AD) with 11 geographically diverse skeletal postcranial samples from Africa, Europe, Asia, Australia, and North America using brachial-crural indices, femur head-breadth-to-femur length ratio, femur head-breadth-to-lower-limb-length ratio, and body mass as indicators of phenotypic climatic adaptation. Specifically, we test the hypothesis that variation in limb proportions seen in Jomon, Yayoi, and Kumejima is a complex interaction of genetic adaptation; development and allometric constraints; selection, gene flow and genetic drift with changing cultural factors (i.e., nutrition) and climate.
   METHODSThe skeletal data (1127 individuals) were subjected to principle components analysis, Manly's permutation multiple regression tests, and Relethford-Blangero analysis.
   RESULTSThe results of Manly's tests indicate that body proportions and body mass are significantly correlated with latitude, and minimum and maximum temperatures while limb proportions were not significantly correlated with these climatic variables. Principal components plots separated climatic zones: tropical, temperate, and arctic populations. The indigenous Jomon showed cold-adapted body proportions and warm-adapted limb proportions. Kumejima showed cold-adapted body proportions and limbs. The Yayoi adhered to the Allen-Bergmann expectation of cold-adapted body and limb proportions. Relethford-Blangero analysis showed that Kumejima experienced gene flow indicated by high observed variances while Jomon experienced genetic drift indicated by low observed variances.
   CONCLUSIONSThe complex interaction of evolutionary forces and development/nutritional constraints are implicated in the mismatch of limb and body proportions.
C1 [Seguchi, Noriko] Kyushu Univ, Fac Social & Cultural Studies, Dept Environm Changes, Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan.
   [Seguchi, Noriko] Univ Montana, Dept Anthropol, 32 Campus Dr, Missoula, MT 59812 USA.
   [Quintyn, Conrad B.] Bloomsburg Univ, Dept Anthropol, Centennial Hall 154,400 East Second St, Bloomsburg, PA 17815 USA.
   [Yonemoto, Shiori] Kyushu Univ, Kyushu Univ Museum, Higashi Ku, 6-10-1 Hakozaki, Fukuoka, Fukuoka 8128581, Japan.
   [Takamuku, Hirofumi] Doigahama Site Anthropol Museum, Dept Anthropol, 891-8 Kandakami,Houhoku Cho, Shimonoseki, Yamaguchi 7596121, Japan.
C3 Kyushu University; University of Montana System; University of Montana;
   Pennsylvania State System of Higher Education (PASSHE); Bloomsburg
   University of Pennsylvania; Kyushu University
RP Seguchi, N (corresponding author), Kyushu Univ, Fac Social & Cultural Studies, Dept Environm Changes, Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan.
EM noriko.seguchi@scs.kyushu-u.ac.jp
RI Quintyn, Conrad/LHA-0432-2024; Seguchi, Noriko/AAE-6813-2020
OI Seguchi, Noriko/0000-0003-0461-6075
FU Bloomsburg University, College of Liberal Arts, Research and
   Disciplinary Grants; University of Montana (Missoula) Burton D. Williams
   Endowment Award; Yamaguchi Fund, University of Montana (Missoula)
   Mansfield Center and International Institute Research Fund; Travel and
   Research Fund from Anthropological Society of Nippon, Japan Society for
   the Promotion of Science
FX Grant sponsors: Bloomsburg University, College of Liberal Arts, Research
   and Disciplinary Grants, University of Montana (Missoula) Burton D.
   Williams Endowment Award, Yamaguchi Fund, University of Montana
   (Missoula) Mansfield Center and International Institute Research Fund,
   Travel and Research Fund from Anthropological Society of Nippon, Japan
   Society for the Promotion of Science
CR Adachi N, 2013, ANTHROPOL SCI, V121, P137, DOI 10.1537/ase.130313
   Adachi N, 2011, AM J PHYS ANTHROPOL, V146, P346, DOI 10.1002/ajpa.21561
   Adachi N, 2009, AM J PHYS ANTHROPOL, V138, P255, DOI 10.1002/ajpa.20923
   Anderson GS, 1999, INT J BIOMETEOROL, V43, P99, DOI 10.1007/s004840050123
   ANGEL JL, 1972, AM J PHYS ANTHROPOL, V37, P428
   [Anonymous], THESIS
   [Anonymous], RETTO SHOKI INASAKU
   [Anonymous], AM J PHYS ANTHR S
   [Anonymous], THESIS
   [Anonymous], PREHISTORIC JAPAN NE
   [Anonymous], KENNEWICK MAN SCI IN
   [Anonymous], [No title captured]
   [Anonymous], HOW HUMANS EVOLVED
   [Anonymous], ARCHAEOLOGICAL Q
   [Anonymous], 2014, JAPANESE J ARCHAEOLO
   [Anonymous], AM J PHYS ANTHR
   [Anonymous], HUMAN BIOL VARIATION
   [Anonymous], STONE AGE EC
   [Anonymous], IN KOKOGAKU WO KAGAK
   [Anonymous], ARCHAEOLOGY JAPAN EA
   [Anonymous], 2007, ANTHROPOL SCI-JPN SE
   [Anonymous], REP BRIT ASS ADV SCI
   [Anonymous], HUMAN VARIATION HUMA
   [Anonymous], STATE NUTR ARAB MIDD
   [Anonymous], OKINAWA KENSHI
   [Anonymous], KENNEWICK MAN PERSPE
   [Anonymous], CLIMATE HUMAN VARIAB
   [Anonymous], MAN HUNTER
   [Anonymous], 1877, Radical Review
   [Anonymous], 1994, Standards for data collection from human Skeletal remains, DOI DOI 10.1002/AJHB.1310070519
   [Anonymous], [No title captured]
   [Anonymous], HUMAN POPULATION GEN
   [Anonymous], ANTHR SCI
   [Anonymous], ADDISON WESLEY MODUL
   [Anonymous], THESIS
   [Anonymous], 2007, HDB N AM INDIANS ENV
   [Anonymous], THESIS
   [Anonymous], [No title captured]
   Auerbach BM, 2011, HUMAN BIOARCHAEOLOGY OF THE TRANSITION TO AGRICULTURE, P203
   Auerbach BM, 2011, AM J PHYS ANTHROPOL, V144, P382, DOI 10.1002/ajpa.21418
   Auerbach BM, 2004, AM J PHYS ANTHROPOL, V125, P331, DOI 10.1002/ajpa.20032
   BAKER PT, 1966, EUGEN QUART, V13, P81, DOI 10.1080/19485565.1966.9987651
   BARNICOT NA, 1959, COLD SPRING HARB SYM, V24, P115, DOI 10.1101/SQB.1959.024.01.012
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Brace CL, 2004, AM J PHYS ANTHROPOL, P67
   BRACE CL, 1982, AM J PHYS ANTHROPOL, V59, P399, DOI 10.1002/ajpa.1330590410
   Brace CL, 2001, P NATL ACAD SCI USA, V98, P10017, DOI 10.1073/pnas.171305898
   BRACE CL, 1989, AM J PHYS ANTHROPOL, V78, P93, DOI 10.1002/ajpa.1330780110
   BUSCHANG P H, 1982, Primates, V23, P465, DOI 10.1007/BF02381330
   CAMERON N, 1982, ANN HUM BIOL, V9, P211, DOI 10.1080/03014468200005701
   Cassidy CM., 1980, NUTR ANTHR, P117
   COOK DC, 1972, AM J PHYS ANTHROPOL, V37, P433
   Cowgill LW, 2012, AM J PHYS ANTHROPOL, V148, P557, DOI 10.1002/ajpa.22072
   DICKERSON JWT, 1960, PROC R SOC SER B-BIO, V152, P207, DOI 10.1098/rspb.1960.0033
   DODO Y, 1990, J ANTHROPOL SOC NIP, V98, P269
   Dulik MC, 2012, AM J HUM GENET, V90, P229, DOI 10.1016/j.ajhg.2011.12.014
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Fukase H, 2012, AM J PHYS ANTHROPOL, V149, P125, DOI 10.1002/ajpa.22112
   Fukase H, 2012, ANTHROPOL SCI, V120, P23, DOI 10.1537/ase.110411
   GREULICH WW, 1957, AM J PHYS ANTHROPOL, V15, P489, DOI 10.1002/ajpa.1330150403
   Habu J., 2004, ANCIENT JOMON JAPAN
   Hammer MF, 2006, J HUM GENET, V51, P47, DOI 10.1007/s10038-005-0322-0
   Hanihara Kazuro., 1991, JPN REV, V2, P1, DOI DOI 10.1537/ASE.102.455
   HANIHARA T, 1993, AM J PHYS ANTHROPOL, V91, P173, DOI 10.1002/ajpa.1330910204
   Hanihara T, 2009, AM J PHYS ANTHROPOL, V139, P311, DOI 10.1002/ajpa.20985
   Hasegawa Iwao, 2009, Legal Medicine, V11, P260, DOI 10.1016/j.legalmed.2009.07.004
   Higgins RW, 2011, AM J PHYS ANTHROPOL, V146, P336, DOI 10.1002/ajpa.21575
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holliday TW, 1997, AM J PHYS ANTHROPOL, V103, P137, DOI 10.1002/(SICI)1096-8644(199705)103:1<137::AID-AJPA10>3.0.CO;2-1
   Holliday TW, 2001, AM J PHYS ANTHROPOL, V116, P26, DOI 10.1002/ajpa.1098
   Holliday TW, 1999, J HUM EVOL, V36, P549, DOI 10.1006/jhev.1998.0289
   Igawa K, 2009, J HUM GENET, V54, P581, DOI 10.1038/jhg.2009.81
   Imamura K., 1996, The Origins and Spread of Agriculture and Pastoralism in Eurasia, P442
   Irei K, 2008, ANTHROPOL SCI, V116, P149, DOI 10.1537/ase.070727
   Ishida H, 2009, ANTHROPOL SCI, V117, P147, DOI 10.1537/ase.081219
   Jantz LM, 1999, AM J PHYS ANTHROPOL, V110, P57, DOI 10.1002/(SICI)1096-8644(199909)110:1<57::AID-AJPA5>3.0.CO;2-1
   Jantz RichardL., 1997, NEVADA HIST SOC Q, V40, P62
   JUNGERS WL, 1988, GROWTH DEVELOP AGING, V52, P103
   Kanzawa-Kiriyama H, 2017, J HUM GENET, V62, P213, DOI 10.1038/jhg.2016.110
   Kanzawa-Kiriyama H, 2013, ANTHROPOL SCI, V121, P89, DOI 10.1537/ase.121113
   Katzmarzyk PT, 1998, AM J PHYS ANTHROPOL, V106, P483, DOI 10.1002/(SICI)1096-8644(199808)106:4<483::AID-AJPA4>3.3.CO;2-K
   Kudaka M, 2013, ANTHROPOL SCI, V121, P49, DOI 10.1537/ase.121125
   Lahr MM, 1995, YEARB PHYS ANTHROPOL, V38, P163
   Leonard W.R., 2010, HUMAN EVOLUTIONARY B, P157
   Manly B.F.J., 1997, RANDOMIZATION BOOTST, P399
   Matsumura H, 2005, AM J PHYS ANTHROPOL, V127, P182, DOI 10.1002/ajpa.20067
   Matsumura H, 2007, ANTHROPOL SCI, V115, P25, DOI 10.1537/ase.051202
   Nakagome S, 2015, MOL BIOL EVOL, V32, P1533, DOI 10.1093/molbev/msv045
   NAKAHASHI T, 1993, AM J PHYS ANTHROPOL, V90, P409, DOI 10.1002/ajpa.1330900403
   Nakahashi T., 1998, ANTHROPOL SCI, V106, P31, DOI [10.1537/asj1998.106.31, DOI 10.1537/ASJ1998.106.31]
   Nakashima A, 2010, AM J HUM BIOL, V22, P782, DOI 10.1002/ajhb.21083
   NEVES WA, 1991, J HUM EVOL, V21, P261, DOI 10.1016/0047-2484(91)90107-7
   Omoto K, 1997, AM J PHYS ANTHROPOL, V102, P437
   OOTA H, 1995, AM J PHYS ANTHROPOL, V98, P133, DOI 10.1002/ajpa.1330980204
   Relethford JH, 1997, HUM BIOL, V69, P443
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P249
   RELETHFORD JH, 1990, HUM BIOL, V62, P5
   Relethford JH, 2004, HUM BIOL, V76, P499, DOI 10.1353/hub.2004.0060
   Relethford JH, 2004, AM J HUM BIOL, V16, P379, DOI 10.1002/ajhb.20045
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P53, DOI 10.1002/ajpa.1330950105
   Relethford JH, 1996, HUM BIOL, V68, P29
   Roberts DF, 1953, AM J PHYS ANTHROP-NE, V11, P533, DOI 10.1002/ajpa.1330110404
   ROGERS AR, 1983, GENETICS, V105, P985
   Roseman CC, 2015, J HUM EVOL, V78, P80, DOI 10.1016/j.jhevol.2014.07.006
   Ruff C, 2002, ANNU REV ANTHROPOL, V31, P211, DOI 10.1146/annurev.anthro.31.040402.085407
   RUFF CB, 1991, J HUM EVOL, V21, P81, DOI 10.1016/0047-2484(91)90001-C
   RUFF CB, 1991, AM J PHYS ANTHROPOL, V86, P397, DOI 10.1002/ajpa.1330860306
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   Ruff CB, 2012, AM J PHYS ANTHROPOL, V148, P601, DOI 10.1002/ajpa.22087
   Sato T, 2014, MOL BIOL EVOL, V31, P2929, DOI 10.1093/molbev/msu230
   Schmidt RW, 2016, QUATERN INT, V405, P110, DOI 10.1016/j.quaint.2014.11.035
   SCHREIDER E, 1957, NATURE, V179, P915, DOI 10.1038/179915a0
   SCHREIDER E, 1964, EVOLUTION, V18, P1, DOI 10.2307/2406414
   SCHREIDER E, 1975, J HUM EVOL, V4, P529, DOI 10.1016/0047-2484(75)90153-0
   SCHREIDER E, 1950, NATURE, V165, P286, DOI 10.1038/165286b0
   Seguchi N, 2011, ANTHROPOL SCI, V119, P21, DOI 10.1537/ase.090921
   Seguchil N, 2007, AM J PHYS ANTHROPOL, P213
   Shea BT, 1996, AM J PHYS ANTHROPOL, V100, P311
   Shinoda K, 1999, ANTHROPOL SCI, V107, P129, DOI 10.1537/ase.107.129
   Smith SL, 2005, AM J HUM BIOL, V17, P731, DOI 10.1002/ajhb.20441
   Smith SL, 2004, AM J HUM BIOL, V16, P648, DOI 10.1002/ajhb.20077
   STEELE DG, 1992, HUM BIOL, V64, P303
   STINSON S, 1978, HUM BIOL, V50, P57
   Suzuki S, 2016, QUATERN INT, V405, P147, DOI 10.1016/j.quaint.2015.03.027
   TANNER JM, 1982, ANN HUM BIOL, V9, P411, DOI 10.1080/03014468200005951
   Temple DH, 2008, AM J PHYS ANTHROPOL, V137, P164, DOI 10.1002/ajpa.20853
   Temple DH, 2011, INT J OSTEOARCHAEOL, V21, P268, DOI 10.1002/oa.1129
   Temple DH, 2011, AM J PHYS ANTHROPOL, V145, P415, DOI 10.1002/ajpa.21515
   Trinkaus E., 1981, Symposia of the Society for the Study of Human Biology, V21, P187
   Tsude H., 2001, Bull Indo Pac Prehist Assoc, V5, P53
   TSUKADA M, 1983, QUATERNARY RES, V19, P212, DOI 10.1016/0033-5894(83)90006-6
   Tsukada M., 1986, WINDOWS JAPANESE STU, P11
   von Cramon-Taubadel N, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1337
   WALTER H, 1971, HUMANGENETIK, V13, P85, DOI 10.1007/BF00295790
   WEAVER ME, 1969, ECOLOGY, V50, P710, DOI 10.2307/1936264
   YAMAGUCHI B, 1982, J ANTHROPOL SOC NIP, V90, P77
   YAMAGUCHI B, 1989, Bulletin of the National Science Museum Series D (Anthropology), V15, P41
   Yamaguchi B, 1994, STUDY JOMON CULTURE, P15
   Yoneda M., 2004, ANTHROPOL SCI, V112, P290
NR 139
TC 4
Z9 8
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1042-0533
EI 1520-6300
J9 AM J HUM BIOL
JI Am. J. Hum. Biol.
PD SEP-OCT
PY 2017
VL 29
IS 5
AR e23015
DI 10.1002/ajhb.23015
PG 24
WC Anthropology; Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Life Sciences & Biomedicine - Other Topics
GA FG2HE
UT WOS:000409912100017
PM 28488767
DA 2025-01-10
ER

PT J
AU Galland, M
   Friess, M
AF Galland, Manon
   Friess, Martin
TI A three-dimensional geometric morphometrics view of the cranial shape
   variation and population history in the New World
SO AMERICAN JOURNAL OF HUMAN BIOLOGY
LA English
DT Article
ID HUMAN SKELETAL REMAINS; LATE PLEISTOCENE HUMAN; DEL-FUEGO-PATAGONIA;
   GENETIC DRIFT; CRANIOFACIAL MORPHOLOGY; EXTINCT ABORIGINES;
   NATURAL-SELECTION; EARLY AMERICANS; 1ST AMERICANS; LAGOA-SANTA
AB ObjectivesCraniofacial variation in past and present Amerindians has been attributed to the effect of multiple founder events, or to one major migration followed by in situ differentiation and possibly recurrent contacts among Circum-Arctic groups. Our study aims to: (i) detect morphological differences that may indicate several migrations; (ii) test for the presence of genetic isolation; and (iii) test the correlation between shape data and competing settlement hypotheses by taking into account geography, chronology, climate effects, the presence of genetic isolation and recurrent gene flow.
   MethodsWe analyzed a large sample of three-dimensional (3D) cranial surface scans (803 specimens) including past and modern groups from America and Australasia. Shape variation was investigated using geometric morphometrics. Differential external gene flow was evaluated by applying genetic concepts to morphometric data (Relethford-Blangero approach). Settlement hypotheses were tested using a matrix correlation approach (Mantel tests).
   ResultsOur results highlight the strong dichotomy between Circum-Arctic and continental Amerindians as well as the impact of climate adaptation, and possibly recurrent gene flow in the Circum-Arctic area. There is also evidence for the impact of genetic isolation on phenetic variation in Baja California. Several settlement hypotheses are correlated with our data.
   ConclusionsThe three approaches used in this study highlight the importance of local processes especially in Baja California, and caution against the use of overly simplistic models when searching for the number of migration events. The results stress the complexity of the settlement of the Americas as well as the mosaic nature of the processes involved in this process. Am. J. Hum. Biol. 28:646-661, 2016. (c) 2016 Wiley Periodicals, Inc.
C1 [Galland, Manon] Univ Coll Dublin, Sch Archaeol, Dublin 4, Ireland.
   [Galland, Manon] Univ Coll Dublin, Earth Inst, Dublin, Ireland.
   [Galland, Manon; Friess, Martin] Museum Natl Hist Nat, Dept Hommes Nat Soc, Paris, France.
   [Galland, Manon; Friess, Martin] Museum Natl Hist Nat, UMR 7206, Paris, France.
C3 University College Dublin; University College Dublin; Museum National
   d'Histoire Naturelle (MNHN); Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   Museum National d'Histoire Naturelle (MNHN); Universite Paris Cite
RP Galland, M (corresponding author), Univ Coll Dublin, Sch Archaeol, Dublin 4, Ireland.
EM manon.galland@ucd.ie
FU Synthesys (Synthesis of Systematic Resources); European Union
   [AT-TAF-3760, DK-TAF-1660, GB-TAF-1611]; Societe des Amis du Musee de
   l'Homme "Prix Leroi-Gourhan"
FX Contract grant sponsors: Synthesys (Synthesis of Systematic Resources)
   and The European Union-Founded Integrated Activities Grant 2011;
   Contract grant numbers: AT-TAF-3760, DK-TAF-1660, GB-TAF-1611; Contract
   grant sponsor: Societe des Amis du Musee de l'Homme "Prix Leroi-Gourhan"
   2011.
CR Ackermann RR, 2004, P NATL ACAD SCI USA, V101, P17946, DOI 10.1073/pnas.0405919102
   [Anonymous], MORPHO CALCULATIONS
   [Anonymous], 2008, ENCY ARCHAEOLOGY
   [Anonymous], THESIS
   [Anonymous], ANTHROPOLOGIE
   [Anonymous], THESIS
   [Anonymous], 2005, LANDMARK V 3 0
   Araujo AGM, 2005, QUATERNARY RES, V64, P298, DOI 10.1016/j.yqres.2005.08.002
   Auerbach BM, 2012, AM J PHYS ANTHROPOL, V149, P525, DOI 10.1002/ajpa.22154
   Bass W.M., 1995, HUMAN OSTEOLOGY LAB
   Bauwens M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038428
   Behling H, 1998, REV PALAEOBOT PALYNO, V99, P143, DOI 10.1016/S0034-6667(97)00044-4
   Bernal V, 2006, AM J HUM BIOL, V18, P748, DOI 10.1002/ajhb.20546
   Betti L, 2010, AM J PHYS ANTHROPOL, V141, P76, DOI 10.1002/ajpa.21115
   Bird MI, 2005, QUATERNARY SCI REV, V24, P2228, DOI 10.1016/j.quascirev.2005.04.004
   Bookstein F.L., 1991, Morphometric Tools for Landmark Data: Geometry and Biology
   Brace CL, 2001, P NATL ACAD SCI USA, V98, P10017, DOI 10.1073/pnas.171305898
   Chatters JC, 2014, SCIENCE, V344, P750, DOI 10.1126/science.1252619
   Chatters JC, 2000, AM ANTIQUITY, V65, P291, DOI 10.2307/2694060
   Cook CG, 2012, PALAEOGEOGR PALAEOCL, V339, P1, DOI 10.1016/j.palaeo.2012.03.025
   Couette S, 2010, CR PALEVOL, V9, P423, DOI 10.1016/j.crpv.2010.07.002
   Cunningham DL, 2002, J HUM EVOL, V42, P627, DOI 10.1006/jhev.2001.0547
   Davis RS, 2010, HUM BIOL, V82, P507, DOI 10.3378/027.082.0503
   de Azevedo S, 2015, AM J PHYS ANTHROPOL, V158, P514, DOI 10.1002/ajpa.22801
   de Azevedo S, 2011, AM J PHYS ANTHROPOL, V146, P539, DOI 10.1002/ajpa.21564
   Dillehay TD, 2009, P NATL ACAD SCI USA, V106, P971, DOI 10.1073/pnas.0808424106
   Dixon EJ, 2001, QUATERNARY SCI REV, V20, P277
   DOW MM, 1985, AM J PHYS ANTHROPOL, V68, P367, DOI 10.1002/ajpa.1330680307
   Dryden I., 1998, Statistical Shape Analysis
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Fagundes NJR, 2008, AM J HUM GENET, V82, P583, DOI 10.1016/j.ajhg.2007.11.013
   Friess M, 2012, J ANTHROPOL SCI, V90, P7, DOI 10.4436/jass.90004
   García-Bour J, 2004, AM J PHYS ANTHROPOL, V123, P361, DOI 10.1002/ajpa.10337
   Gilbert MTP, 2008, SCIENCE, V320, P1787, DOI 10.1126/science.1159750
   Goebel T, 2008, SCIENCE, V319, P1497, DOI 10.1126/science.1153569
   Gonzalez-Jose RG, 2005, AM J PHYS ANTHROPOL, V128, P757, DOI 10.1002/ajpa.20161
   González-José RG, 2003, NATURE, V425, P62, DOI 10.1038/nature01816
   González-José R, 2008, AM J PHYS ANTHROPOL, V137, P175, DOI 10.1002/ajpa.20854
   González-Jose R, 2007, P ROY SOC B-BIOL SCI, V274, P681, DOI 10.1098/rspb.2006.0151
   GOWER JC, 1975, PSYCHOMETRIKA, V40, P33, DOI 10.1007/BF02291478
   GREENBERG JH, 1986, CURR ANTHROPOL, V27, P477, DOI 10.1086/203472
   Gunz P, 2009, J HUM EVOL, V57, P48, DOI 10.1016/j.jhevol.2009.04.004
   Habgood PJ, 2008, J HUM EVOL, V55, P187, DOI 10.1016/j.jhevol.2007.11.006
   Harpending HC., 1982, BIOCH ASPECTS EVOLUT, P213
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Hernandez M, 1997, AM J PHYS ANTHROPOL, V103, P103, DOI 10.1002/(SICI)1096-8644(199705)103:1<103::AID-AJPA7>3.3.CO;2-B
   Hubbe M, 2014, AM J PHYS ANTHROPOL, V155, P546, DOI 10.1002/ajpa.22607
   Hubbe M, 2011, AM J PHYS ANTHROPOL, V144, P442, DOI 10.1002/ajpa.21425
   Hubbe M, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011105
   Perez SI, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005746
   Jantz RL, 2001, AM J PHYS ANTHROPOL, V114, P146, DOI 10.1002/1096-8644(200102)114:2<146::AID-AJPA1014>3.0.CO;2-E
   José RG, 2002, AM J HUM BIOL, V14, P308, DOI 10.1002/ajhb.10033
   Kaifu Y, 2012, QUATERN INT, V248, P2, DOI 10.1016/j.quaint.2011.02.017
   Kent JT, 1997, J ROY STAT SOC B MET, V59, P281, DOI 10.1111/1467-9868.00069
   Klingenberg CP, 2005, SYST BIOL, V54, P678, DOI 10.1080/10635150590947258
   Klingenberg CP, 2002, EVOLUTION, V56, P1909
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   Lahr MM, 1995, YEARB PHYS ANTHROPOL, V38, P163
   Lalueza C, 1997, HUM MOL GENET, V6, P41, DOI 10.1093/hmg/6.1.41
   LELE S, 1993, MATH GEOL, V25, P573, DOI 10.1007/BF00890247
   Lele S. R., 2001, INTER DISC
   Liu H, 2006, AM J HUM GENET, V79, P230, DOI 10.1086/505436
   Malecot G., 1973, Genetic Structure of Populations, P72
   MANTEL N, 1967, CANCER RES, V27, P209
   Marroig G, 2004, AM NAT, V163, P417, DOI 10.1086/381693
   Mitteroecker P, 2011, EVOL BIOL, V38, P100, DOI 10.1007/s11692-011-9109-8
   Mitteroecker P, 2009, EVOL BIOL, V36, P235, DOI 10.1007/s11692-009-9055-x
   Moraga ML, 2000, AM J PHYS ANTHROPOL, V113, P19, DOI 10.1002/1096-8644(200009)113:1<19::AID-AJPA3>3.0.CO;2-X
   Neves WA, 2005, P NATL ACAD SCI USA, V102, P18309, DOI 10.1073/pnas.0507185102
   NEVES WA, 1991, J HUM EVOL, V21, P261, DOI 10.1016/0047-2484(91)90107-7
   Neves WA, 2007, AM J PHYS ANTHROPOL, V133, P1080, DOI 10.1002/ajpa.20637
   Neves WA, 2007, J HUM EVOL, V52, P16, DOI 10.1016/j.jhevol.2006.07.012
   Perez SI, 2007, AM J PHYS ANTHROPOL, V133, P1067, DOI 10.1002/ajpa.20633
   Perez SI, 2011, J BIOGEOGR, V38, P148, DOI 10.1111/j.1365-2699.2010.02392.x
   Perez SI, 2009, EVOLUTION, V63, P978, DOI 10.1111/j.1558-5646.2008.00539.x
   Pinhasi R, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006747
   Powell JF, 1999, YEARB PHYS ANTHROPOL, V42, P153
   Pucciarelli HM, 2010, AM J PHYS ANTHROPOL, V143, P298, DOI 10.1002/ajpa.21347
   Pucciarelli HM, 2003, QUATERN INT, V109, P123, DOI 10.1016/S1040-6182(02)00208-2
   R Development Core Team, 2012, R: a language and environment for statistical computing
   Raghavan M, 2014, SCIENCE, V345, P1020, DOI 10.1126/science.1255832
   Raghavan M, 2014, NATURE, V505, P87, DOI 10.1038/nature12736
   Ramachandran S, 2005, P NATL ACAD SCI USA, V102, P15942, DOI 10.1073/pnas.0507611102
   Rasmussen M, 2014, NATURE, V506, P225, DOI 10.1038/nature13025
   Rasmussen M, 2010, NATURE, V463, P757, DOI 10.1038/nature08835
   Ray N, 2010, MOL BIOL EVOL, V27, P337, DOI 10.1093/molbev/msp238
   Reich D, 2012, NATURE, V488, P370, DOI 10.1038/nature11258
   Relethford JH, 2002, AM J PHYS ANTHROPOL, V118, P393, DOI 10.1002/ajpa.10079
   RELETHFORD JH, 1990, HUM BIOL, V62, P5
   Relethford JH, 2004, AM J HUM BIOL, V16, P379, DOI 10.1002/ajhb.20045
   Relethford JH, 1996, HUM BIOL, V68, P29
   RELETHFORD JH, 1991, HUM BIOL, V63, P155
   Reyes-Centeno H, 2015, J HUM EVOL, V87, P95, DOI 10.1016/j.jhevol.2015.06.008
   Rivet P., 1909, Journal de la Societe des Americanistes, V6, P147
   ROHLF FJ, 1990, SYST ZOOL, V39, P40, DOI 10.2307/2992207
   Rohlf FJ, 2000, AM J PHYS ANTHROPOL, V111, P463, DOI 10.1002/(SICI)1096-8644(200004)111:4<463::AID-AJPA3>3.0.CO;2-B
   Roseman CC, 2004, P NATL ACAD SCI USA, V101, P12824, DOI 10.1073/pnas.0402637101
   ROTHHAMMER F, 1992, AM J PHYS ANTHROPOL, V89, P441, DOI 10.1002/ajpa.1330890405
   SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
   Sardi ML, 2006, AM J PHYS ANTHROPOL, V130, P333, DOI 10.1002/ajpa.20379
   Schillaci MA, 2005, AM J PHYS ANTHROPOL, V126, P404, DOI 10.1002/ajpa.20150
   Shen GJ, 2002, J HUM EVOL, V43, P817, DOI 10.1006/jhev.2002.0601
   Simonis C, 2009, AM J PHYS ANTHROPOL, P240
   Slice DE, 2007, ANNU REV ANTHROPOL, V36, P261, DOI 10.1146/annurev.anthro.34.081804.120613
   Steadman DW, 2001, AM J PHYS ANTHROPOL, V114, P61, DOI 10.1002/1096-8644(200101)114:1<61::AID-AJPA1006>3.0.CO;2-6
   Storm P, 2013, J HUM EVOL, V64, P356, DOI 10.1016/j.jhevol.2012.11.002
   Tamm E, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000829
   Tocheri MatthewW., 2009, ADV IMAGING BIOL MED, P85, DOI DOI 10.1007/978-3-540-68993-5_4
   Volodko NV, 2008, AM J HUM GENET, V82, P1084, DOI 10.1016/j.ajhg.2008.03.019
   von Cramon-Taubadel N, 2014, J ANTHROPOL SCI, V92, P43, DOI [10.4436/jass.91010, 10.4436/JASS.91010]
   von Cramon-Taubadel N, 2011, P NATL ACAD SCI USA, V108, P19546, DOI 10.1073/pnas.1113050108
   von Cramon-Taubadel N, 2011, AM J PHYS ANTHROPOL, V146, P83, DOI 10.1002/ajpa.21550
   von Cramon-Taubadel N, 2009, EVOL ANTHROPOL, V18, P237, DOI 10.1002/evan.20233
   von Cramon-Taubadel N, 2009, AM J PHYS ANTHROPOL, V140, P205, DOI 10.1002/ajpa.21041
   von Cramon-Taubadel N, 2009, J HUM EVOL, V57, P179, DOI 10.1016/j.jhevol.2009.05.009
   Wang S, 2007, PLOS GENET, V3, P2049, DOI 10.1371/journal.pgen.0030185
   White TD., 2005, The Human Bone Manual, P255
   Zlojutro M, 2006, AM J PHYS ANTHROPOL, V129, P446, DOI 10.1002/ajpa.20287
NR 118
TC 19
Z9 26
U1 0
U2 15
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1042-0533
EI 1520-6300
J9 AM J HUM BIOL
JI Am. J. Hum. Biol.
PD SEP-OCT
PY 2016
VL 28
IS 5
BP 646
EP 661
DI 10.1002/ajhb.22845
PG 16
WC Anthropology; Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Life Sciences & Biomedicine - Other Topics
GA DW5LB
UT WOS:000383685200006
PM 26924543
DA 2025-01-10
ER

PT J
AU Lee, E
   Bieda, R
   Shanmugasundaram, J
   Richter, HB
AF Lee, Eungul
   Bieda, Rahama
   Shanmugasundaram, Jothiganesh
   Richter, Heather Basara
TI Land surface and atmospheric conditions associated with heat waves over
   the Chickasaw Nation in the South Central United States
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
ID SOIL-MOISTURE; CLIMATE-CHANGE; HEALTH; TEMPERATURES; EXTREMES; ANATOMY;
   IMPACT
AB Exposure to extreme heat was reconstructed based on regional land-atmosphere processes from 1979 to 2010 in the South Central U.S. The study region surrounds the Chickasaw Nation (CN), a predominantly Native American population with a highly prevalent burden of climate-sensitive chronic diseases. Land surface and atmospheric conditions for summer heat waves were analyzed during spring (March-April-May, MAM) and summer (June-July-August, JJA) based on the Climate and Ocean: Variability, Predictability, and Change maximum temperature definition for heat wave frequency (HWF). The spatial-temporal pattern of HWF was determined using empirical orthogonal function (EOF) analysis and the corresponding principle component time series of the first EOF of HWF. Statistically significant analyses of observed conditions indicated that sensible heat increased and latent heat fluxes decreased with high HWF in the South Central U.S. The largest positive correlations of sensible heat flux to HWF and the largest negative correlations of latent heat flux to HWF were specifically observed over the CN. This is a significantly different energy transfer regime due to less available soil moisture during the antecedent MAM and JJA. The higher sensible heat from dry soil could cause significant warming from the near surface (>2.0 degrees C) to the lower troposphere (>1.5 degrees C), and accumulated boundary layer heat could induce the significant patterns of higher geopotential height and enhance anticyclonic circulations (negative vorticity anomaly) at the midtroposphere. Results suggested a positive land-atmosphere feedback associated with heat waves and called attention to the need for region-specific climate adaptation planning.
C1 [Lee, Eungul; Shanmugasundaram, Jothiganesh] West Virginia Univ, Dept Geol & Geog, Morgantown, WV USA.
   [Bieda, Rahama] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA.
   [Richter, Heather Basara] Tulane Univ, Dept Global Environm Hlth Sci, Los Angeles, CA USA.
C3 West Virginia University; University of Oklahoma System; University of
   Oklahoma - Norman; Tulane University
RP Lee, E (corresponding author), West Virginia Univ, Dept Geol & Geog, Morgantown, WV USA.
EM eungul.lee@mail.wvu.edu
RI Lee, Eungul/AAJ-2993-2020
OI Lee, Eungul/0000-0002-1887-1870; Shanmugasundaram,
   Jothiganesh/0000-0001-9919-5351
FU National Institute of Environmental Health Sciences (NEIHS) [7R21
   ES022598-02]
FX This study was supported by National Institute of Environmental Health
   Sciences grant (NEIHS Award: 7R21 ES022598-02). The Richman-Lamb (R-L)
   data were used that developed at the Cooperative Institute for Mesoscale
   Meteorological Studies (http://cimms.ou.edu/) incorporated the raw daily
   weather data from the National Weather Service Cooperative Observer
   Network
   (https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-base
   d-datasets/cooperative-observer-network-coop). The NARR data were
   obtained freely from the NOAA Earth System Research Laboratory
   (http://www.esrl.noaa.gov/psd/data/gridded/data.narr.html). We thank
   Thomas Chase of the CIRES at the University of Colorado, Boulder for
   reading the manuscript and also the reviewers for their constructive
   comments and helpful suggestions.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], 1993, Probability and statistics for engineers and scientists
   [Anonymous], 2012, VECTOR QUANTIZATION
   [Anonymous], 2010, HUMAN HLTH PERSPECTI
   Burrows, 1901, YB US DEP AGR 1900, V8, P325
   CHANG FC, 1987, MON WEATHER REV, V115, P1253, DOI 10.1175/1520-0493(1987)115<1253:MCDHWA>2.0.CO;2
   CHARNEY JG, 1975, Q J ROY METEOR SOC, V101, P193, DOI 10.1002/qj.49710142802
   Chiriaco M, 2014, GEOPHYS RES LETT, V41, P5644, DOI 10.1002/2014GL060205
   Dole R, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL046582
   Durre I, 2000, J CLIMATE, V13, P2641, DOI 10.1175/1520-0442(2000)013<2641:DOEDMT>2.0.CO;2
   Ebi KL, 2008, CLIMATIC CHANGE, V88, P5, DOI 10.1007/s10584-006-9233-0
   Fischer EM, 2007, J CLIMATE, V20, P5081, DOI 10.1175/JCLI4288.1
   Ford TW, 2014, GEOPHYS RES LETT, V41, P4727, DOI 10.1002/2014GL060949
   Hao W., 1987, WEA FORECASTING, V2, P269, DOI DOI 10.1175/1520-0434(1987)002<0269:AMBA0T>2.0.C0;2
   Hirschi M, 2011, NAT GEOSCI, V4, P17, DOI 10.1038/NGEO1032
   Hoerling M, 2013, J CLIMATE, V26, P2811, DOI 10.1175/JCLI-D-12-00270.1
   Hunt BG, 2007, J CLIMATE, V20, P3802, DOI 10.1175/JCLI4224.1
   Jackson R, 2008, ANNU REV PUBL HEALTH, V29, P57, DOI 10.1146/annurev.publhealth.29.020907.090755
   Jones DS, 2012, NEW ENGL J MED, V366, P2333, DOI 10.1056/NEJMp1113569
   Klein W.H., 1952, MON WEA REV, V80, P99
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Lau NC, 2012, J CLIMATE, V25, P4761, DOI 10.1175/JCLI-D-11-00575.1
   LYON B, 1995, J CLIMATE, V8, P1658, DOI 10.1175/1520-0442(1995)008<1658:ADCOTA>2.0.CO;2
   McMichael AJ, 2003, SCIENCE, V302, P1919
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Mesinger F, 2006, B AM METEOROL SOC, V87, P343, DOI 10.1175/BAMS-87-3-343
   Miralles DG, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053703
   Miralles DG, 2014, NAT GEOSCI, V7, P345, DOI [10.1038/ngeo2141, 10.1038/NGEO2141]
   Mueller B, 2012, P NATL ACAD SCI USA, V109, P12398, DOI 10.1073/pnas.1204330109
   NAMIAS J, 1982, MON WEATHER REV, V110, P824, DOI 10.1175/1520-0493(1982)110<0824:AOGPPH>2.0.CO;2
   Namias J, 1962, P INT S NUM WEATH PR
   Notaro M, 2006, J CLIMATE, V19, P763, DOI 10.1175/JCLI3657.1
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Quesada B, 2012, NAT CLIM CHANGE, V2, P736, DOI [10.1038/NCLIMATE1536, 10.1038/nclimate1536]
   RICHMAN MB, 1985, J CLIM APPL METEOROL, V24, P1325, DOI 10.1175/1520-0450(1985)024<1325:CPAOTA>2.0.CO;2
   Seneviratne SI, 2006, NATURE, V443, P205, DOI 10.1038/nature05095
   Timmer RP, 2007, J APPL METEOROL CLIM, V46, P1993, DOI 10.1175/2007JAMC1552.1
   Tong S, 2007, ECOHEALTH, V4, P352, DOI 10.1007/s10393-007-0125-1
   Von Storch H., 2001, Statistical analysis in climate research
   Wu ZW, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016908
NR 41
TC 12
Z9 13
U1 0
U2 29
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-897X
EI 2169-8996
J9 J GEOPHYS RES-ATMOS
JI J. Geophys. Res.-Atmos.
PD JUN 16
PY 2016
VL 121
IS 11
BP 6284
EP 6298
DI 10.1002/2015JD024659
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA DT6YT
UT WOS:000381631700010
DA 2025-01-10
ER

PT J
AU Rako, L
   Blacket, MJ
   McKechnie, SW
   Hoffmann, AA
AF Rako, Lea
   Blacket, Mark J.
   McKechnie, Stephen W.
   Hoffmann, Ary A.
TI Candidate genes and thermal phenotypes:: identifying ecologically
   important genetic variation for thermotolerance in the Australian
   <i>Drosophila melanogaster</i> cline
SO MOLECULAR ECOLOGY
LA English
DT Article
DE acclimation; chill coma; chromosome inversions; Drosophila; heat stress;
   thermal genes
ID ALPHA-GPDH LOCI; HSR-OMEGA GENE; NATURAL-POPULATIONS; BODY-SIZE;
   INVERSION IN(3R)PAYNE; GEOGRAPHIC-VARIATION; LATITUDINAL CLINES;
   HEAT-RESISTANCE; ADULT SURVIVAL; COLD
AB Clinal variation in traits often reflects climatic adaptation; in Drosophila melanogaster clinal variation provides an opportunity to link variation in chromosomal inversions, microsatellite loci and various candidate genes to adaptive variation in traits. We undertook association studies with crosses from a single population of D. melanogaster from eastern Australia to investigate the association between genetic markers and traits showing clinal variation. By genotyping parents and phenotyping offspring, we minimized genotyping costs but had the power to detect association between markers and quantitative traits. Consistent with prior studies, we found strong associations between the clinal chromosomal inversion In(3R)Payne and markers within it, as well as among these markers. We also found an association between In(3L)Payne and one marker located within this inversion. Of the five predicted associations between markers and traits, four were detected (increased heat, decreased cold resistance and body size with the heat shock gene hsr-omega S, increased cold resistance with the inversion In(3L)Payne), while one was not detected (heat resistance and the heat shock gene hsp68). In a set of eight exploratory tests, we detected one positive association (between hsp23a and heat resistance) but no associations of heat resistance with alleles at the hsp26, hsp83, Desat 2, alpha-Gpdh, hsp70 loci, while cold resistance was not associated with Frost and Dca loci. These results confirm interactions between hsr-omega and thermal resistance, as well as between In(3L)Payne and cold resistance, but do not provide evidence for associations between thermal responses and alleles at other clinally varying marker genes.
C1 Univ Melbourne, Ctr Environm Strees & Adapatat Res, Dept Genet, Parkville, Vic 3010, Australia.
   Monash Univ, Sch Biol Sci, Ctr Environm Stress & Adaptat Res, Clayton, Vic 3800, Australia.
C3 University of Melbourne; Monash University
RP Hoffmann, AA (corresponding author), Univ Melbourne, Ctr Environm Strees & Adapatat Res, Dept Genet, Parkville, Vic 3010, Australia.
EM ary@unimelb.edu.au
RI Hoffmann, Ary/C-2961-2011
OI Blacket, Mark/0000-0001-7864-5712; Hoffmann, Ary/0000-0001-9497-7645
CR Anderson AR, 2005, MOL ECOL, V14, P851, DOI 10.1111/j.1365-294X.2005.02445.x
   Anderson AR, 2003, HEREDITY, V90, P195, DOI 10.1038/sj.hdy.6800220
   [Anonymous], 1971, Genetics of the Evolutionary Process
   Azevedo RBR, 1996, EVOLUTION, V50, P2338, DOI [10.1111/j.1558-5646.1996.tb03621.x, 10.2307/2410702]
   BARNES PT, 1989, GENETICS, V122, P859
   Bettencourt BR, 2002, EVOLUTION, V56, P1796, DOI 10.1111/j.0014-3820.2002.tb00193.x
   Calboli FCF, 2003, EVOLUTION, V57, P2653, DOI 10.1111/j.0014-3820.2003.tb01509.x
   CAPY P, 1993, GENET SEL EVOL, V25, P517, DOI 10.1051/gse:19930602
   David JR, 2004, GENETICA, V120, P151, DOI 10.1023/B:GENE.0000017638.02813.5a
   De Jong G, 2003, J GENET, V82, P207, DOI 10.1007/BF02715819
   Endler J.A., 1977, Monographs in Population Biology, pi
   Feder ME, 1998, AM ZOOL, V38, P503
   Frydenberg J, 2003, MOL ECOL, V12, P2025, DOI 10.1046/j.1365-294X.2002.01882.x
   Frydenberg J, 1999, GENE, V236, P243, DOI 10.1016/S0378-1119(99)00272-3
   Gilchrist AS, 1999, GENETICS, V153, P1775
   Gockel J, 2002, HEREDITY, V89, P145, DOI 10.1038/sj.hdy.6800121
   Gockel J, 2001, GENETICS, V158, P319
   Goto SG, 2001, GENE, V270, P259, DOI 10.1016/S0378-1119(01)00465-6
   Goto SG, 2000, J INSECT PHYSIOL, V46, P1111, DOI 10.1016/S0022-1910(99)00221-8
   Greenberg AJ, 2003, SCIENCE, V302, P1754, DOI 10.1126/science.1090432
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2002, EVOLUTION, V56, P1068, DOI 10.1111/j.0014-3820.2002.tb01418.x
   Hoffmann AA, 1997, J INSECT PHYSIOL, V43, P393, DOI 10.1016/S0022-1910(96)00108-4
   IMASHEVA AG, 1994, HEREDITY, V72, P508, DOI 10.1038/hdy.1994.68
   INOQUE Y, 1994, EVOLUTION, V38, P753
   JAMES AC, 1995, GENETICS, V140, P659
   JAMES AC, 1995, J EVOLUTION BIOL, V8, P315, DOI 10.1046/j.1420-9101.1995.8030315.x
   Kennington WJ, 2006, GENETICS, V172, P1655, DOI 10.1534/genetics.105.053173
   KNIBB WR, 1981, GENETICS, V98, P833
   LANCIANI CA, 1992, J THERM BIOL, V17, P147, DOI 10.1016/0306-4565(92)90025-B
   Macdonald SJ, 2004, GENETICS, V167, P2127, DOI 10.1534/genetics.104.026732
   McColl G, 1996, GENETICS, V143, P1615
   McColl G, 1999, MOL BIOL EVOL, V16, P1568, DOI 10.1093/oxfordjournals.molbev.a026069
   McKechnie SW, 1998, P NATL ACAD SCI USA, V95, P2423, DOI 10.1073/pnas.95.5.2423
   MILTON CC, 2004, THESIS U MELBOURNE M
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   Morgan TJ, 2006, HEREDITY, V96, P232, DOI 10.1038/sj.hdy.6800786
   NICOLAS G, 1989, ANNU REV ENTOMOL, V34, P97, DOI 10.1146/annurev.en.34.010189.000525
   Nielsen MM, 2005, J INSECT PHYSIOL, V51, P1320, DOI 10.1016/j.jinsphys.2005.08.002
   Norry FM, 2004, MOL ECOL, V13, P3585, DOI 10.1111/j.1365-294X.2004.02323.x
   OAKESHOTT JG, 1984, GENETICA, V63, P21, DOI 10.1007/BF00137461
   OAKESHOTT JG, 1982, EVOLUTION, V36, P86, DOI 10.1111/j.1558-5646.1982.tb05013.x
   OUDMAN L, 1992, HEREDITY, V68, P289, DOI 10.1038/hdy.1992.43
   Qin W, 2005, INSECT MOL BIOL, V14, P607, DOI 10.1111/j.1365-2583.2005.00589.x
   Rako L, 2006, GENETICA, V128, P373, DOI 10.1007/s10709-006-7375-7
   Rako L, 2006, J INSECT PHYSIOL, V52, P94, DOI 10.1016/j.jinsphys.2005.09.007
   SCHENFELD E, 1979, THEOR APPL GENET, V54, P235, DOI 10.1007/BF00267713
   Sejerkilde M, 2003, J INSECT PHYSIOL, V49, P719, DOI 10.1016/S0022-1910(03)00095-7
   Sokal R., 1996, Biometry
   Sorensen JG, 2001, FUNCT ECOL, V15, P289, DOI 10.1046/j.1365-2435.2001.00525.x
   't Land JV, 2000, EVOLUTION, V54, P201, DOI 10.1554/0014-3820(2000)054[0201:LVFTEL]2.0.CO;2
   TUCIC N, 1979, EVOLUTION, V33, P350, DOI 10.2307/2407625
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   UMINA PA, 2006, GENET RES, V86, P1
   VANDELDEN W, 1989, EVOLUTION, V43, P775, DOI 10.1111/j.1558-5646.1989.tb05176.x
   VANDERBEEK S, 1995, THEOR APPL GENET, V91, P1115, DOI 10.1007/BF00223929
   Weeks AR, 2002, ECOL LETT, V5, P756, DOI 10.1046/j.1461-0248.2002.00380.x
   WESLEY CS, 1994, P NATL ACAD SCI USA, V91, P3132, DOI 10.1073/pnas.91.8.3132
NR 59
TC 74
Z9 84
U1 0
U2 33
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD JUL
PY 2007
VL 16
IS 14
BP 2948
EP 2957
DI 10.1111/j.1365-294X.2007.03332.x
PG 10
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA 186CR
UT WOS:000247757200014
PM 17614909
DA 2025-01-10
ER

PT J
AU Chase, AB
   Weihe, C
   Martiny, JBH
AF Chase, Alexander B.
   Weihe, Claudia
   Martiny, Jennifer B. H.
TI Adaptive differentiation and rapid evolution of a soil bacterium along a
   climate gradient
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE reciprocal transplant; Curtobacterium; adaptation; experimental
   evolution; ecotypes
ID MICROBIAL DIVERSITY; ADAPTATION; DISPERSAL; PATTERNS; RESOURCE; GENOMES;
   TRAITS
AB Microbial community responses to environmental change are largely associated with ecological processes; however, the potential for microbes to rapidly evolve and adapt remains relatively unexplored in natural environments. To assess how ecological and evolutionary processes simultaneously alter the genetic diversity of a microbiome, we conducted two concurrent experiments in the leaf litter layer of soil over 18 mo across a climate gradient in Southern California. In the first experiment, we reciprocally transplanted microbial communities from five sites to test whether ecological shifts in ecotypes of the abundant bacterium, Curtobacterium, corresponded to past adaptive differentiation. In the transplanted communities, ecotypes converged toward that of the native communities growing on a common litter substrate. Moreover, these shifts were correlated with communityweighted mean trait values of the Curtobacterium ecotypes, indicating that some of the trait variation among ecotypes could be explained by local adaptation to climate conditions. In the second experiment, we transplanted an isogenic Curtobacterium strain and tracked genomic mutations associated with the sites across the same climate gradient. Using a combination of genomic and metagenomic approaches, we identified a variety of nonrandom, parallel mutations associated with transplantation, including mutations in genes related to nutrient acquisition, stress response, and exopolysaccharide production. Together, the field experiments demonstrate how both demographic shifts of previously adapted ecotypes and contemporary evolution can alter the diversity of a soil microbiome on the same timescale.
C1 [Chase, Alexander B.; Weihe, Claudia; Martiny, Jennifer B. H.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA.
   [Chase, Alexander B.] Univ Calif San Diego, Ctr Marine Biotechnol & Biomed, Scripps Inst Oceanog, San Diego, CA 92093 USA.
C3 University of California System; University of California Irvine;
   University of California System; University of California San Diego;
   Scripps Institution of Oceanography
RP Chase, AB (corresponding author), Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA.
EM abchase@ucsd.edu
RI Martiny, Jennifer/AAB-9323-2019; Chase, Alexander/AAV-3955-2021
OI Chase, Alexander/0000-0003-1984-6279; Martiny,
   Jennifer/0000-0002-2415-1247; Weihe, Claudia/0000-0003-2775-207X
FU Scripps Postdoctoral Scholar Fellowship; NSF [DEB1457160]; US Department
   of Energy Office of Science, Biological and Environmental Research award
   [DE-SC0020382]; U.S. Department of Energy (DOE) [DE-SC0020382] Funding
   Source: U.S. Department of Energy (DOE)
FX We thank Steven D. Allison, Mike Goulden, Adam C. Martiny, and Kathleen
   K. Treseder for their work in organizing the climate gradient project as
   well as Michaeline B. N. Albright, Nameer Baker, Sydney I. Glassman,
   Junhui Li, Chamee Moua, and Kendra Walters for assistance infield work.
   We would also like to thank Sergey Kryazhimskiy, Elsa Abs, Gabin Piton,
   and Brandon S. Gaut for advice on data analysis and insightful
   discussions on differentiating ecology and evolution in microbiomes.
   Finally, the authors thank Alejandra RodriguezVerdugo and Adam C.
   Martiny for their thoughts on previous versions of the manuscript,
   Andrew Oliver and Timothy M. Perez for statistical input, the University
   of California NaturalReserve System for access to the field sites, and
   the University of California Irvine High Performance Computing Cluster
   for computational resources. This work was supported by the Scripps
   Postdoctoral Scholar Fellowship to A.B.C., an NSF grant (DEB1457160) ,
   and US Department of Energy Office of Science, Biological and
   Environmental Research award (DE-SC0020382) to J.B.H.M.
CR Ackerly DD, 2003, INT J PLANT SCI, V164, pS1, DOI 10.1086/374729
   Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   Albright MBN, 2019, MBIO, V10, DOI 10.1128/mBio.00568-19
   Albright MBN, 2018, ISME J, V12, P296, DOI 10.1038/ismej.2017.161
   Allison SD, 2013, ECOLOGY, V94, P714, DOI 10.1890/12-1243.1
   Amend AS, 2016, ISME J, V10, P109, DOI 10.1038/ismej.2015.96
   Arevalo P, 2019, CELL, V178, P820, DOI 10.1016/j.cell.2019.06.033
   Auwera G A., 2013, Curr. Protoc. Bioinforma., V43, DOI 10.1002/0471250953.2013. 43.issue-1
   Baker NR, 2018, ECOLOGY, V99, P1441, DOI 10.1002/ecy.2345
   Baker NR, 2017, SOIL BIOL BIOCHEM, V114, P82, DOI 10.1016/j.soilbio.2017.07.005
   Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
   Brown CT, 2016, NAT BIOTECHNOL, V34, P1256, DOI 10.1038/nbt.3704
   Bruinsma S, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-018-5096-9
   Bushnell B., 2016, BBMap shortread aligner, and other bioinformatics tools
   Chakraborty M, 2016, NUCLEIC ACIDS RES, V44, DOI 10.1093/nar/gkw654
   Chase AB, 2019, MBIO, V10, DOI 10.1128/mBio.02361-19
   Chase AB, 2018, ENVIRON MICROBIOL, V20, P4112, DOI 10.1111/1462-2920.14405
   Chase AB, 2018, MICROBIOL AUST, V39, P5, DOI 10.1071/MA18003
   Chase AB, 2017, MBIO, V8, DOI [10.1128/mBio.01809-17, 10.1128/mbio.01809-17]
   Chase AB, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01874
   Christin PA, 2010, TRENDS GENET, V26, P400, DOI 10.1016/j.tig.2010.06.005
   Clausen J., 1948, Carnegie Institution of Washington Publication, V581, P1
   Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
   Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
   Crits-Christoph A, 2020, ISME J, V14, P1834, DOI 10.1038/s41396-020-0655-x
   Deatherage DE, 2014, METHODS MOL BIOL, V1151, P165, DOI 10.1007/978-1-4939-0554-6_12
   Denef VJ, 2012, SCIENCE, V336, P462, DOI 10.1126/science.1218389
   Evans R, 2020, CURR BIOL, V30, DOI 10.1016/j.cub.2020.09.028
   Evans S, 2017, ISME J, V11, P176, DOI 10.1038/ismej.2016.96
   Federhen S, 2012, NUCLEIC ACIDS RES, V40, pD136, DOI 10.1093/nar/gkr1178
   Garrison NL, 2016, PEERJ, V4, DOI 10.7717/peerj.1719
   Garud NR, 2020, TRENDS GENET, V36, P53, DOI 10.1016/j.tig.2019.10.010
   Garud NR, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000102
   Ghalayini M, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02377-17
   Glassman SI, 2018, P NATL ACAD SCI USA, V115, P11994, DOI 10.1073/pnas.1811269115
   Hairston NG, 2005, ECOL LETT, V8, P1114, DOI 10.1111/j.1461-0248.2005.00812.x
   Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
   Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
   Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
   Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
   Kent AG, 2018, NAT MICROBIOL, V3, P989, DOI 10.1038/s41564-018-0213-8
   Korem T, 2015, SCIENCE, V349, P1101, DOI 10.1126/science.aac4812
   Koskella B, 2015, ANNU REV ECOL EVOL S, V46, P503, DOI 10.1146/annurev-ecolsys-112414-054458
   Langenheder S, 2011, ISME J, V5, P1086, DOI 10.1038/ismej.2010.207
   Larkin AA, 2017, ENV MICROBIOL REP, V9, P55, DOI 10.1111/1758-2229.12523
   Lee H, 2012, P NATL ACAD SCI USA, V109, pE2774, DOI 10.1073/pnas.1210309109
   Li H, 2010, BIOINFORMATICS, V26, P589, DOI 10.1093/bioinformatics/btp698
   Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
   Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
   Matulich KL, 2015, ISME J, V9, P2477, DOI 10.1038/ismej.2015.58
   Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
   Meziti A, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.02593-20
   Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
   Muscarella R, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2434
   Nannipieri P, 2003, EUR J SOIL SCI, V54, P655, DOI 10.1046/j.1351-0754.2003.0556.x
   Ochman H, 1999, P NATL ACAD SCI USA, V96, P12638, DOI 10.1073/pnas.96.22.12638
   Quistad SD, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0681
   Rhoads A, 2015, GENOM PROTEOM BIOINF, V13, P278, DOI 10.1016/j.gpb.2015.08.002
   Rodríguez-Verdugo A, 2021, ISME J, V15, P450, DOI 10.1038/s41396-020-00787-9
   Rudman SM, 2018, NAT ECOL EVOL, V2, P9, DOI 10.1038/s41559-017-0385-2
   Scheuerl T, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14570-z
   Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
   Shade A, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00417
   Shapiro BJ, 2014, TRENDS MICROBIOL, V22, P235, DOI 10.1016/j.tim.2014.02.006
   Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
   Smillie CS, 2011, NATURE, V480, P241, DOI 10.1038/nature10571
   Sonnier G, 2010, J VEG SCI, V21, P1014, DOI 10.1111/j.1654-1103.2010.01210.x
   Tenaillon O, 2016, NATURE, V536, P165, DOI 10.1038/nature18959
   Tenaillon O, 2012, SCIENCE, V335, P457, DOI 10.1126/science.1212986
   Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
   Urban MC, 2020, P NATL ACAD SCI USA, V117, P17482, DOI 10.1073/pnas.1918960117
   Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
   Wielgoss S, 2011, G3-GENES GENOM GENET, V1, P183, DOI 10.1534/g3.111.000406
NR 75
TC 69
Z9 74
U1 6
U2 85
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD MAY 4
PY 2021
VL 118
IS 18
AR e2101254118
DI 10.1073/pnas.2101254118
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA RX4BW
UT WOS:000647171500015
PM 33906949
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Diarra, FB
   Ouédraogo, M
   Zougmoré, RB
   Partey, ST
   Houessionon, P
   Mensah, A
AF Diarra, Fatimata Bintou
   Ouedraogo, Mathieu
   Zougmore, Robert B.
   Partey, Samuel Tetteh
   Houessionon, Prosper
   Mensah, Amos
TI Are perception and adaptation to climate variability and change of
   cowpea growers in Mali gender differentiated?
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Gender; Climate change; Perception; Adaptation; Mali
ID VULNERABILITY
AB Understanding the gender dimension of climate change perception and choice of adaptation strategies is crucial for policy recommendations that foster the development and integration of gender-responsive climate-smart agricultural interventions into agricultural development programs. This study determined the differences in the perception and choice of adaptation strategies between men and women farmers in Cinzana in the Segou region of Mali. The study used questionnaire interviews involving 260 farmers (49% women) and focus group discussions for data collection. Data were analyzed using descriptive statistics and multinomial logit model to understand the determinants of the level of adoption of adaptation strategies. The results showed that, irrespective of gender, majority of farmers perceived climate change as extended period of droughts, shortened duration of rains, increased frequency of strong winds and increased day and night temperatures. While climate change perception was similar between men and women, choice of adaptation strategies differed significantly in most instances. Women farmers were generally low adopters of crop and varieties-related strategies, soil and water conservation technics (contour farming, use of organic manure), etc., compare to men. Notably, being the household head, age and the availability of free labor were found to positively increased farmers' probability of adopting many adaptation strategies. The study recommends improving women's access and control of production resources (land, labor) as means to improving their adoption of adaptation strategies.
C1 [Diarra, Fatimata Bintou; Ouedraogo, Mathieu; Zougmore, Robert B.; Partey, Samuel Tetteh; Houessionon, Prosper] Int Crops Res Inst Semi Arid Trop, CGIAR Res Program Climate Change Agr & Food Secur, BP 320, Bamako, Mali.
   [Diarra, Fatimata Bintou; Mensah, Amos] Kwame Nkrumah Univ Sci & Technol KNUST, Kumasi, Ghana.
C3 CGIAR; International Crops Research Institute for the Semi-Arid-Tropics
   (ICRISAT); Kwame Nkrumah University Science & Technology
RP Ouédraogo, M (corresponding author), Int Crops Res Inst Semi Arid Trop, CGIAR Res Program Climate Change Agr & Food Secur, BP 320, Bamako, Mali.
EM fatimatabintoudiarra@gmail.com; m.ouedraogo@cgiar.org;
   r.zougmore@cgiar.org; stpartey@gmail.com; p.houessionon@cgiar.org;
   amensah@knust.edu.gh
RI Houessionon, Prosper/HJG-6731-2022; Mensah, Dr Amos/ABA-1708-2021
OI Ouedraogo, Mathieu/0000-0001-6581-6287; Mensah, Dr.
   Amos/0000-0002-5912-7634; Zougmore, Robert/0000-0002-6215-4852
FU CGIAR Trust Fund; Ireland (Irish Aid); Netherlands (Ministry of Foreign
   Affairs); UK Government (UK Aid); USA (USAID); European Union (EU);
   Borlaug Higher Education for Agricultural Research and Development
   (BHEARD); Switzerland (SDC); Australia (ACIAR)
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), led by the
   International Center for Tropical Agriculture (CIAT). We acknowledge the
   CGIAR Trust Fund, Australia (ACIAR), Ireland (Irish Aid), Netherlands
   (Ministry of Foreign Affairs), New Zealand, Switzerland (SDC), The UK
   Government (UK Aid), USA (USAID), The European Union (EU) for funding
   the program and the International Fund for Agricultural Development
   (IFAD) for its technical support to CCAFS. Authors also gratefully
   acknowledge the financial support to the work from the Borlaug Higher
   Education for Agricultural Research and Development (BHEARD).
CR Alle CSUY., 2013, EUR J SCI RES, V107, P530
   [Anonymous], 2016, Sustainable Development Goals
   [Anonymous], 2010, 1111 ESA FAO
   [Anonymous], 2011, Women in Agriculture; Closing the Gender Gap for Development. The State of Food and Agriculture
   Aune J.B, 2008, J NORVEGIAN U LIFE S
   Aymone G., 2009, IFPRI DISCUSSION PAP
   Barnett BJ, 2008, WORLD DEV, V36, P1766, DOI 10.1016/j.worlddev.2007.10.016
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Barrett CB, 2010, SCIENCE, V327, P825, DOI 10.1126/science.1182768
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bravo-Baumann H., 2000, GENDER LIVESTOCK
   Bridgeman B, 2011, PHYS LIFE REV, V8, P73, DOI 10.1016/j.plrev.2011.01.002
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Butt TA, 2005, CLIMATIC CHANGE, V68, P355, DOI 10.1007/s10584-005-6014-0
   CCAFS (Climate Change Agriculture and Food Security), 2011, CCAFS BASELINE SURVE
   Davies M., 2009, Promoting pro-poor growth: Social protection -  oecd, P201, DOI 10.1111/j.2040-0209.2009.00320_2.x
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Diiro G., 2016, 68 INT CROPS RES I S, DOI [10.1080/13552070802696946, DOI 10.1080/13552070802696946]
   Doss C., 2014, IFPRI DISCUSSION PAP, DOI 10.21082/ijas.v12n2.2011
   Doss C., 2011, Working paper no. 184
   Doss Cheryl., 2014, Gender in Agriculture, P55, DOI [10.1007/978-94-017-8616-4_3, DOI 10.1007/978-94-017-8616-4_3, 10.1007/978-94-017-8616-4]
   Greene WH., 1998, LIMDEP USER S MANUAL, DOI [10.5296/jas.v4i3.9331, DOI 10.5296/JAS.V4I3.9331]
   Haile M, 2005, PHILOS T R SOC B, V360, P2169, DOI 10.1098/rstb.2005.1746
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   HAUSMAN J, 1984, ECONOMETRICA, V52, P1219, DOI 10.2307/1910997
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jalloh A., 2013, West African agriculture and climate change A comprehensive analysis, DOI DOI 10.2499/9780896292048
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kakota T, 2011, CLIM DEV, V3, P298, DOI 10.1080/17565529.2011.627419
   MA, 2016, ANN STAT, P133
   Maddison D, 2006, 10 CEEPA U PRET
   Magayane F.T., 2012, J AFRICAN STUDIES DE, V4, P218
   Mitter H, 2019, J ENVIRON MANAGE, V252, DOI 10.1016/j.jenvman.2019.109701
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   Norris P. E., 1987, Southern Journal of Agricultural Economics, V19, P79
   Ofuoku A. U., 2011, Indonesian Journal of Agricultural Science, V12, P63
   Ouédraogo M, 2017, REG ENVIRON CHANGE, V17, P437, DOI 10.1007/s10113-016-1029-9
   Ouedraogo Mathieu, 2010, Secheresse (Montrouge), V21, P87, DOI 10.1684/sec.2010.0244
   Partey ST, 2020, CLIMATIC CHANGE, V158, P61, DOI 10.1007/s10584-018-2239-6
   Sanogo K, 2017, AGROFOREST SYST, V91, P345, DOI 10.1007/s10457-016-9933-z
   Sidibe D. K., 2017, AGR FOOD SECUR, V6, P11, DOI [10.1186/s40066-016-0086-0, DOI 10.1186/S40066-016-0086-0]
   Tenge AJ, 2004, LAND DEGRAD DEV, V15, P99, DOI 10.1002/ldr.606
   Toure H., 2016, J AGR STUD, V4, P13, DOI [10.5296/jas.v4i3.9331, DOI 10.5296/JAS.V4I3.9331]
   Traore B, 2017, FIELD CROP RES, V201, P133, DOI 10.1016/j.fcr.2016.11.002
   TSE YK, 1987, J BUS ECON STAT, V5, P283, DOI 10.2307/1391909
   Twyman J., 2014, 83 CCAFS CGIAR
   Wright H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P226
   Zougmoré RB, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018019
NR 50
TC 8
Z9 8
U1 1
U2 20
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD SEP
PY 2021
VL 23
IS 9
BP 13854
EP 13870
DI 10.1007/s10668-021-01242-1
EA JAN 2021
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TS5ZC
UT WOS:000612251700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bajayo, R
AF Bajayo, Rachael
TI Building community resilience to climate change through public health
   planning
SO HEALTH PROMOTION JOURNAL OF AUSTRALIA
LA English
DT Article
DE public health; community resilience; planning; climate change
ID PARTICIPATION; MANAGEMENT; DISASTERS; CAPACITY; ACCESS; PLACE; SENSE
AB Issue addressed: Nillumbik Shire Council, in partnership with La Trobe University, used the Municipal Public Health Planning process to develop an approach for building the resilience of local communities to climate-related stressors. The objective was to define an approach for building community resilience to climate change and to integrate this approach with the 'Environments for Health' framework.
   Methods: Key published papers and reports by leading experts the field were reviewed. Literature was selected based on its relevance to the subjects of community resilience and climate change and was derived from local and international publications, the vast majority published within the past two decades.
   Results: Review of literature on community resilience revealed that four principal resource sets contribute to the capacity of communities to adapt in times of stress, these being: economic development; social capital; information and communication; and community competence. On the strength of findings, a framework for building each resilience resource set within each of the Environments for Health was constructed. This paper introduces the newly constructed 'Community Resilience Framework', which describes how each one of the four resilience resource sets can be developed within social, built, natural and economic environments.
   Conclusion: The Community Resilience Framework defines an approach for simultaneously creating supportive environments for health and increasing community capacity for adaptation to climate-related stressors. As such, it can be used by Municipal Public Health Planners as a guide in building community resilience to climate change.
C1 La Trobe Univ, Sch Publ Hlth, Caulfield, Vic 3162, Australia.
C3 La Trobe University
RP Bajayo, R (corresponding author), La Trobe Univ, Sch Publ Hlth, 5 Griffiths St, Caulfield, Vic 3162, Australia.
EM r.dbajayo@gmail.com
CR Abramowitz SA, 2005, SOC SCI MED, V61, P2106, DOI 10.1016/j.socscimed.2005.03.023
   Alkon AH, 2004, ORGAN ENVIRON, V17, P145, DOI 10.1177/1086026604264881
   [Anonymous], 2008, CLIMATE CHANGE HLTH
   [Anonymous], ENV HLTH PROM HLTH W
   [Anonymous], Protecting health from climate change: Global research priorities
   Bajayo R, 2010, COMMUNITY RESI UNPUB
   Benight CC, 2004, ANXIETY STRESS COPIN, V17, P401, DOI 10.1080/10615800512331328768
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Colten CE, 2008, ENVIRONMENT, V50, P36, DOI 10.3200/ENVT.50.5.36-47
   Cutter S, 2006, ENVIRONMENT, V48, P8
   Economic and Social Commission for Asia and the Pacific (ESCAP), 2006, MOV FORW POSTTS VOIC
   ENG E, 1994, HEALTH EDUC QUART, V21, P199, DOI 10.1177/109019819402100206
   Goodman RM, 1998, HEALTH EDUC BEHAV, V25, P258, DOI 10.1177/109019819802500303
   GREEN L, 1990, HLTH PROMOTION COMMU, P29
   Hess JJ, 2008, AM J PREV MED, V35, P468, DOI 10.1016/j.amepre.2008.08.024
   Hobfoll S., 2006, 9/11: Mental health in the wake of terrorist attacks, P215
   ISCOE I, 1974, AM PSYCHOL, V29, P607, DOI 10.1037/h0036925
   KANIASTY K, 1995, AM J COMMUN PSYCHOL, V23, P447, DOI 10.1007/BF02506964
   KATES R, 1977, RECONSTRUCTION FOLLO, pCH1
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Kjellstrom Tord, 2009, N S W Public Health Bull, V20, P5, DOI 10.1071/NB08053
   Langridge R, 2006, ECOL SOC, V11
   Lasker R., 2004, Redefining readiness: Terrorism planning through the eyes of the public
   Longstaff P, 2005, RESILIENCE COMMUNICA
   Longstaff PH, 2008, ECOL SOC, V13, DOI 10.5751/ES-02232-130103
   Louis MES, 2008, AM J PREV MED, V35, P527, DOI 10.1016/j.amepre.2008.08.023
   Manzo LC, 2006, J PLAN LIT, V20, P335, DOI 10.1177/0885412205286160
   McEntire D.A., 2005, Disaster Prevention and Management, V14, P206
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Norris F.H., 2006, 9/11: Mental health in wake of terrorist attacks, P141
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Pérez-Sales P, 2005, J COMMUNITY APPL SOC, V15, P368, DOI 10.1002/casp.827
   Perkins DD, 2002, PL S SOC CL, P291
   Pfefferbaum BettyJ., 2005, Handbook on Injury and Violence Prevention Interventions
   Redlener I, 2006, 9 11 MENTAL HLTH WAK, P599
   Riad JK, 1999, J APPL SOC PSYCHOL, V29, P918, DOI 10.1111/j.1559-1816.1999.tb00132.x
   Rich RC, 1995, AM J COMMUN PSYCHOL, V23, P657, DOI 10.1007/BF02506986
   Saavedra C, 2009, HABITAT INT, V33, P246, DOI 10.1016/j.habitatint.2008.10.004
   Sonn CC, 1998, J COMMUNITY PSYCHOL, V26, P457, DOI 10.1002/(SICI)1520-6629(199809)26:5<457::AID-JCOP5>3.0.CO;2-O
   Tierney K, 2006, ANN AM ACAD POLIT SS, V604, P57, DOI 10.1177/0002716205285589
   Walker R, 2010, SYSTEMATIC REV IMPLI
   Weaver A.M., 2006, Journal of Family and Consumer Sciences, V98, P11
   *WHO, 1991, P 3 INT C HLTH PROM
   WHO, 1998, HLTH PROM GLOSS
   World Health Organization Secretariat, 2008, 1224 EB WHO WORLD HL
NR 45
TC 25
Z9 31
U1 2
U2 64
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1036-1073
EI 2201-1617
J9 HEALTH PROMOT J AUST
JI Health Promot. J. Aust.
PD APR
PY 2012
VL 23
IS 1
BP 30
EP 36
DI 10.1071/HE12030
PG 7
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 930MO
UT WOS:000303143700007
PM 22730935
DA 2025-01-10
ER

PT J
AU Rodrigues, SMM
   Bueno, VHP
   Sampaio, MV
   Soglia, MCD
AF Rodrigues, SMM
   Bueno, VHP
   Sampaio, MV
   Soglia, MCD
TI Influence of the temperature on the development and parasitism of
   <i>Lysiphlebus testaceipes</i> (Cresson) (Hymenoptera: Braconidae,
   Aphidiinae) reared on <i>Aphis gossypii</i> Glover (Hemiptera:
   Aphididae)
SO NEOTROPICAL ENTOMOLOGY
LA Spanish
DT Article
DE biology; cotton aphid; parasitoid rearing; biological control
ID BIOLOGICAL-CONTROL; HOMOPTERA; SYSTEM; CITRUS; WASP
AB The temperature is among the abiotic factors that directly affect the developmental time and behavior of insects. The adaptability to climatic conditions is a key point for the success of mass-rearing and establishment of parasitoids in biological control programs. The objective of this study was to evaluate the developmental time and parasitism of Lysiphlebus testaceipes (Cresson) on Aphis gossypii Glover as host in different temperatures. The tests were carried out in climatic chambers at 15, 20, 25 and 30 +/- 1degreesC, 60+/-10% RH and 10h photophase. Parasitized nymphs of A. gossypii were kept individualized in petri dishes (6 cm of diameter) on a leaf disk (2 cm diameter) of chrysanthemum (Dendranthema grandiflorum Tzvelev) `Yellow Snowdon' cultivar on a layer of agar. The developmental time of L. testaceipes was 26.9, 14.8, 11.3 and 12.2 days at 15, 20,25 and 30degreesC, respectively. Parasitism rates were 76, 68, 65 and 40% at 15, 20, 25 and 30 C, and emergence rates were 80, 61, 62 and 14% at these temperatures. The combination of a low developmental time (11.3 days) and parasitism and emergency higher than 60% occurred at 25degreesC, indicating that this temperature could be the most adequate for reproduction and establishment of L. testaceipes as a biological control agent of A. gossypii in protected cultivation.
C1 Univ Fed Lavras, Depto Entomol, BR-37200000 Lavras, MG, Brazil.
C3 Universidade Federal de Lavras
RP Rodrigues, SMM (corresponding author), Univ Fed Lavras, Depto Entomol, C Postal 37, BR-37200000 Lavras, MG, Brazil.
EM smmrodrigues@hotmail.com; vhpbueno@ufla.br
RI Sampaio, Marcus/I-3613-2013; RODRIGUES, SANDRA/I-4106-2013; Bueno,
   Vanda/D-5258-2013
OI Sampaio, Marcus Vinicius/0000-0002-8767-9030
CR Andrewartha H.G., 1954, The Distribution and Abundance of Animals, P31
   CAMPBELL A, 1974, J APPL ECOL, V11, P431, DOI 10.2307/2402197
   Carnevale Ariana B., 2003, Neotrop. entomol., V32, P293, DOI 10.1590/S1519-566X2003000200015
   Denlinger D. L., 1998, Physiology of heat sensitivity, P7
   FOX LR, 1990, OECOLOGIA, V83, P414, DOI 10.1007/BF00317569
   Hagvar E.B., 1991, Biocontrol News and Information, V12, P13
   HAGVAR EB, 1991, ACTA ENTOMOL BOHEMOS, V88, P1
   HENTER HJ, 1995, EVOLUTION, V49, P427, DOI 10.1111/j.1558-5646.1995.tb02275.x
   HIGHT S C, 1972, Environmental Entomology, V1, P205
   Horn DJ, 1998, TEMPERATURES SENSITIVITY IN INSECTS AND APPLICATION IN INTEGRATED PEST MANAGEMENT, P125
   KRING TJ, 1988, CAN ENTOMOL, V120, P1079, DOI 10.4039/Ent1201079-12
   Michaud JP, 1999, FLA ENTOMOL, V82, P424, DOI 10.2307/3496869
   Pedigo L.P., 1996, Analyses in insect ecology and management, P67
   Rochat J, 1997, ENTOMOPHAGA, V42, P201, DOI 10.1007/BF02769898
   Rodrigues Sandra M. M., 2001, Neotropical Entomology, V30, P625, DOI 10.1590/S1519-566X2001000400017
   Rodrigues Sandra Maria Morais, 2003, Rev. Bras. entomol., V47, P637, DOI 10.1590/S0085-56262003000400017
   Royer TA, 2001, ENVIRON ENTOMOL, V30, P637, DOI 10.1603/0046-225X-30.4.637
   SHUKLA AN, 1993, BIOL AGRIC HORTIC, V9, P137, DOI 10.1080/01448765.1993.9754627
   SOGLIA MARIA C. DE M., 2002, Neotrop. entomol., V31, P211, DOI 10.1590/S1519-566X2002000200006
   STARY P, 1989, ACTA ENTOMOL BOHEMOS, V86, P356
   Stary P., 1988, P171
   Tang YQ, 1995, ENVIRON ENTOMOL, V24, P1736, DOI 10.1093/ee/24.6.1736
   Xia JY, 1999, ENTOMOL EXP APPL, V90, P25, DOI 10.1023/A:1003580413487
NR 23
TC 19
Z9 22
U1 0
U2 12
PU ENTOMOLOGICAL SOCIETY BRASIL
PI LONDRINA,
PA C POSTAL 481, 86001-970 LONDRINA,, PR, BRAZIL
SN 1519-566X
J9 NEOTROP ENTOMOL
JI Neotrop. Entomol.
PD MAY-JUN
PY 2004
VL 33
IS 3
BP 341
EP 346
PG 6
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 865ZJ
UT WOS:000224742400011
OA hybrid
DA 2025-01-10
ER

PT J
AU Bhatti, UA
   Bhatti, MA
   Tang, H
   Syam, MS
   Awwad, EM
   Sharaf, M
   Ghadi, YY
AF Bhatti, Uzair Aslam
   Bhatti, Mughair Aslam
   Tang, Hao
   Syam, M. S.
   Awwad, Emad Mahrous
   Sharaf, Mohamed
   Ghadi, Yazeed Yasin
TI Global production patterns: Understanding the relationship between
   greenhouse gas emissions, agriculture greening and climate variability
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE GHG; Climate forecasting; Soil change
AB Climate change due to increased greenhouse gas emissions (GHG) in the atmosphere has been consistently observed since the mid-20th century. The profound influence of global climate change on greenhouse gas (GHG) emissions, encompassing carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), has established a vital feedback loop that contributes to further climate change. This intricate relationship necessitates a comprehensive understanding of the underlying feedback mechanisms. By examining the interactions between global climate change, soil, and GHG emissions, we can elucidate the complexities of CO2, CH4, and N2O dynamics and their implications. In this study, we evaluate the global climate change relationship with GHG globally in 246 countries. We find a robust positive association between climate and GHG emissions. By 2100, GHG emissions will increase in all G7 countries and China while decreasing in the United Kingdom based on current economic growth policies, resulting in a net global increase, suggesting that climate-driven increase in GHG and climate variations impact crop production loss due to soil impacts and not provide climate adaptation. The study highlights the diverse strategies employed by G7 countries in reducing GHG emissions, with France leveraging nuclear power, Germany focusing on renewables, and Italy targeting its industrial and transportation sectors. The UK and Japan are making significant progress in emission reduction through renewable energy, while the US and Canada face challenges due to their industrial activities and reliance on fossil fuels.
C1 [Bhatti, Uzair Aslam; Tang, Hao] Hainan Univ, Sch Informat & Commun Engn, Haikou 570100, Peoples R China.
   [Bhatti, Uzair Aslam; Bhatti, Mughair Aslam] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China.
   [Syam, M. S.] Shenzhen Univ, IOT Lab, Shenzhen 518060, Guangdong, Peoples R China.
   [Awwad, Emad Mahrous] King Saud Univ, Coll Engn, Dept Elect Engn, POB 800, Riyadh 11421, Saudi Arabia.
   [Sharaf, Mohamed] King Saud Univ, Coll Engn, Dept Ind Engn, POB 800, Riyadh 11421, Saudi Arabia.
   [Ghadi, Yazeed Yasin] Al Ain Univ, Dept Comp Sci, Al Ain, U Arab Emirates.
C3 Hainan University; Nanjing Normal University; Shenzhen University; King
   Saud University; King Saud University
RP Tang, H (corresponding author), Hainan Univ, Sch Informat & Commun Engn, Haikou 570100, Peoples R China.; Bhatti, MA (corresponding author), Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China.
EM mughairbhatti@nnu.edu.cn; melineth@hainanu.edu.cn
RI Awwad, Emad/HNB-5494-2023; M. S., Syam/JFA-3359-2023
OI Mohammed, Emad Mahrous/0000-0002-8115-4882; Ghadi, Yazeed
   Yasin/0000-0002-7121-495X; BHATTI, MUGHAIR ASLAM/0009-0009-8409-3745
FU National Natural Science Foundation of China [62350410483]; King Saud
   University, Riyadh, Saudi Arabia [RSPD2024R704]
FX This study is supported by National Natural Science Foundation of China
   (Grant No. 62350410483). The authors present their appreciation to King
   Saud University for funding this research through Researchers Supporting
   Program number (RSPD2024R704), King Saud University, Riyadh, Saudi
   Arabia.
CR Abrahms B, 2023, NAT CLIM CHANGE, V13, P224, DOI 10.1038/s41558-023-01608-5
   Adebayo TS, 2023, ENERG ENVIRON-UK, V34, P1285, DOI 10.1177/0958305X221084290
   Al-Ghussain L, 2019, ENVIRON PROG SUSTAIN, V38, P13, DOI 10.1002/ep.13041
   Alhamid AK, 2022, STRUCT SAF, V94, DOI 10.1016/j.strusafe.2021.102152
   Anderegg WRL, 2020, SCIENCE, V368, P1327, DOI 10.1126/science.aaz7005
   Balcilar M, 2023, RESOUR POLICY, V81, DOI 10.1016/j.resourpol.2023.103344
   Ban YX, 2023, URBAN CLIM, V51, DOI 10.1016/j.uclim.2023.101655
   Bellassen V, 2022, NAT CLIM CHANGE, V12, P324, DOI 10.1038/s41558-022-01321-9
   Bhatti UA, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1183620
   Bhatti UA, 2022, SCIENCE, V377, P585, DOI 10.1126/science.add9065
   Biermann F, 2012, SCIENCE, V335, P1306, DOI 10.1126/science.1217255
   Bonan GB, 2018, SCIENCE, V359, P533, DOI 10.1126/science.aam8328
   Burney J, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn7307
   Camacho L, 2022, EXPERT SYST APPL, V193, DOI 10.1016/j.eswa.2021.116387
   Camastra F, 2022, ENVIRON MODELL SOFTW, V150, DOI 10.1016/j.envsoft.2022.105343
   Chang WY, 2022, J ENVIRON MANAGE, V312, DOI 10.1016/j.jenvman.2022.114925
   Chaudhry SM, 2020, J ENVIRON MANAGE, V265, DOI 10.1016/j.jenvman.2020.110533
   Chen J, 2023, URBAN CLIM, V51, DOI 10.1016/j.uclim.2023.101630
   Dar AA, 2022, FUEL, V314, DOI 10.1016/j.fuel.2021.123094
   Dong KY, 2022, TECHNOL FORECAST SOC, V179, DOI 10.1016/j.techfore.2022.121622
   Fang Z, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.879741
   Foong A, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30607-x
   Gong SH, 2023, GLOBAL PLANET CHANGE, V228, DOI 10.1016/j.gloplacha.2023.104203
   Gupta J, 2023, NAT SUSTAIN, V6, P630, DOI 10.1038/s41893-023-01064-1
   Hampf AC, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102707
   Hasnain A, 2023, CHEMOSPHERE, V314, DOI 10.1016/j.chemosphere.2022.137638
   Hoy Z.X., 2023, Clean Technol. Environ. Policy, P1
   Hutchins DA, 2019, NAT REV MICROBIOL, V17, P391, DOI 10.1038/s41579-019-0178-5
   Iacobut GI, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102509
   Jebabli I, 2023, RESOUR POLICY, V81, DOI 10.1016/j.resourpol.2023.103348
   Jegora T, 2022, Am. J. Environ. Protect., V11, P14
   Ju H, 2013, CLIMATIC CHANGE, V120, P313, DOI 10.1007/s10584-013-0803-7
   larc.nasa, About us
   Lesk C, 2022, NAT REV EARTH ENV, V3, P872, DOI 10.1038/s43017-022-00368-8
   Li W, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1132248
   Li XT, 2023, RESOUR POLICY, V86, DOI 10.1016/j.resourpol.2023.104044
   Lin BQ, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.149895
   Lin XR, 2023, ATMOS RES, V296, DOI 10.1016/j.atmosres.2023.107070
   Liu Z, 2015, NATURE, V524, P335, DOI 10.1038/nature14677
   Luo J, 2022, J SUPERCOMPUT, V78, P379, DOI 10.1007/s11227-021-03898-y
   Meinshausen M, 2022, NATURE, V604, P304, DOI 10.1038/s41586-022-04553-z
   Muttitt G, 2023, NAT CLIM CHANGE, DOI 10.1038/s41558-022-01576-2
   Nie SQ, 2023, SCI TOTAL ENVIRON, V862, DOI 10.1016/j.scitotenv.2022.160930
   Ogar E, 2020, ONE EARTH, V3, P162, DOI 10.1016/j.oneear.2020.07.006
   ourworldindata, about us
   Pata UK, 2023, J CLEAN PROD, V409, DOI 10.1016/j.jclepro.2023.137241
   Pata UK, 2022, PROG NUCL ENERG, V149, DOI 10.1016/j.pnucene.2022.104249
   Peng D, 2023, ENERGIES, V16, DOI 10.3390/en16010439
   Rehman A, 2022, ENVIRON SCI POLLUT R, V29, P39827, DOI 10.1007/s11356-022-18994-6
   Seddon N, 2022, SCIENCE, V376, P1410, DOI 10.1126/science.abn9668
   Shahbaz M, 2021, TECHNOL FORECAST SOC, V171, DOI 10.1016/j.techfore.2021.120966
   Shang M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042101
   Singh J, 2022, FIELD CROP RES, V287, DOI 10.1016/j.fcr.2022.108661
   Singh RL, 2017, APPL ENV SCI ENG SUS, P13, DOI 10.1007/978-981-10-1866-4_2
   Sun YY, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132414
   Sun Y, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab113
   Taipabu MI, 2023, CHEM ENG PROCESS, V193, DOI 10.1016/j.cep.2023.109532
   Tang H., 2023, International Journal of Intelligent Systems, V2023
   Tian XL, 2023, RENEW SUST ENERG REV, V182, DOI 10.1016/j.rser.2023.113404
   Tierney JE, 2020, SCIENCE, V370, P680, DOI 10.1126/science.aay3701
   Ureigho U.N., 2018, Niger. J. Agric. Food Environ., V14, P31
   Viswanathan K, 2023, ALGAL RES, V69, DOI 10.1016/j.algal.2022.102903
   Wang L, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110712
   Wang XY, 2022, NAT ECOL EVOL, V6, P890, DOI 10.1038/s41559-022-01774-3
   Wu W, 2023, ENERGIES, V16, DOI 10.3390/en16093698
   Wu W, 2021, J CLEAN PROD, V300, DOI 10.1016/j.jclepro.2021.126959
   Xiong L, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002746
   Xue YY, 2023, AGR FOREST METEOROL, V342, DOI 10.1016/j.agrformet.2023.109734
   Yadav S., 2023, Bio-Inspired Land Remediation, P353
   Yin ZT, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110765
   Yoro K. O., 2020, Advances in Carbon Capture, P3, DOI [10.1016/B978-0-12-819657-1.00001-3, DOI 10.1016/B978-0-12-819657-1.00001-3]
   Yu ZF, 2024, SCI TOTAL ENVIRON, V907, DOI 10.1016/j.scitotenv.2023.168155
   Zhang GX, 2021, SCI TOTAL ENVIRON, V771, DOI 10.1016/j.scitotenv.2020.144751
   Zhang P, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.110009
   Zhang SR, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001938
   Zhang XX, 2022, J CLEAN PROD, V345, DOI 10.1016/j.jclepro.2022.131122
   Zhang ZM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021369
   Zhao RQ, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104980
   Zheng CT, 2023, SUSTAIN ENERGY TECHN, V57, DOI 10.1016/j.seta.2023.103275
   Zheng XS, 2019, J CLEAN PROD, V234, P1113, DOI 10.1016/j.jclepro.2019.06.140
   Zurek M, 2022, SCIENCE, V376, P1416, DOI 10.1126/science.abo2364
NR 81
TC 20
Z9 20
U1 74
U2 98
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 MAR 15
PY 2024
VL 245
AR 118049
DI 10.1016/j.envres.2023.118049
EA JAN 2024
PG 13
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA GT2K9
UT WOS:001154855600001
PM 38169167
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Blaustein, J
   Miccelli, M
   Hendy, R
   Burns, KH
AF Blaustein, Jarrett
   Miccelli, Maegan
   Hendy, Ross
   Burns, Kate Hutton
TI Resilience policing and disaster management during Australia's Black
   Summer bushfire crisis
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Policing; Security; Disaster management; Black Summer; Bushfires;
   Resilience
ID COMMUNITY; SECURITY
AB Policing landscapes are being transformed by disaster risks associated with climate change. 'Resilience policing' is described as an emergent model of security governance that builds upon established state-based community policing traditions to support the management of these complex risks and hazards. The assumption is that established policing capabilities might be harnessed to enhance disaster resilience. Empirical research on resilience policing is lacking however, and it is unclear whether this model is truly innovative, or simply a progression of established community policing models. This article explores these questions by considering how local police contributed to disaster management activities in a remote rural community which was directly impacted by Australia's catastrophic Black Summer bushfires in 2019-20. Our qualitative, empirical case study illustrates how institutionalized learnings, organizational and systemic reforms, and everyday policing activities enhanced the absorptive and adaptive capabilities of police as emergency responders, emergency management networks, and local residents. Our analysis indicates that a resilience policing model, anchored in existing community engagement and partnership-working methods, may hold promise as a means of enhancing the adaptative capacity of police and improving alignment between policing and emergency management networks. Less optimistically, it reveals potential obstacles to adapting this template for use in complex policing environments, sustaining institutional focus and adaptive capabilities amidst poly-crises, and aligning policing roles and mandates with transformative climate adaptation agendas.
C1 [Blaustein, Jarrett; Miccelli, Maegan] Australian Natl Univ ANU, Sch Regulat & Global Governance RegNet, Acton, ACT 2600, Australia.
   [Hendy, Ross; Burns, Kate Hutton] Monash Univ, Sch Social Sci, Menzies Bldg, Clayton, Vic 3800, Australia.
C3 Australian National University; Monash University
RP Blaustein, J (corresponding author), Australian Natl Univ ANU, Sch Regulat & Global Governance RegNet, Acton, ACT 2600, Australia.
EM Jarrett.Blaustein@anu.edu.au
RI Hendy, Ross/J-1889-2019
OI Blaustein, Jarrett/0000-0002-0319-5611; Miccelli,
   Maegan/0009-0007-6445-3331; /0000-0003-4027-7015; Burns,
   Kate/0000-0003-1229-8492
CR Adams TM, 2019, POLICING IN NATURAL DISASTERS: STRESS, RESILIENCE, AND THE CHALLENGES OF EMERGENCY MANAGEMENT, P1
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   AIDR, 2020, VICT NOV 2019 FEB 20
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   [Anonymous], 2009, World at risk
   Ayres I., 1992, Responsive Regulation: Transcending the Deregulation Debate
   Bene C., 2012, IDS Work Pap, V2012, P1, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Berg J., 2004, SOC TRANSIT, V35, P224
   Berg J, 2018, ANN AM ACAD POLIT SS, V679, P72, DOI 10.1177/0002716218778540
   Birkland T.A., 1997, DISASTER AGENDA SETT
   BOM CSIRO, 2022, STAT CLIM, P1
   Bosher L, 2021, DISASTER PREV MANAG, V30, P525, DOI 10.1108/DPM-03-2021-0071
   Braithwaite V., 1995, Law Policy, V17, P225, DOI DOI 10.1111/J.1467-9930.1995.TB00149.X
   Brodeur J.P, 2013, THE POLICING WEB
   Chambers DA, 2011, AUST J EMERG MANAG, V26, P54
   Chan J., 1997, CHANGING POLICE CULT
   Chandler D., 2014, RESILIENCE GOVERNANC, DOI DOI 10.4324/9781315773810
   Clement S, 2022, GLOB POLICY, V13, P11, DOI 10.1111/1758-5899.13148
   Comrie N, 2011, REV 2010 11 FLOOD WA
   Council of Australian Governments, 2011, NAT STRAT DIS RES
   Crawford A, 2017, CRIMINOLOGY ANTHROPO, P153
   Crawford A, 2017, POLIC SOC, V27, P636, DOI 10.1080/10439463.2017.1341508
   Davis JH, 1997, ACAD MANAGE REV, V22, P20, DOI 10.2307/259223
   Deflem M, 2009, POLIC-J POLICY PRACT, V3, P41, DOI 10.1093/police/pan071
   Di Ronco A, 2023, POLICING ENV PROTEST
   EMV, 2020, EMERGENCY MANAGEMENT, P1
   Ericson RichardV., 1997, Policing the Risk Society, DOI DOI 10.3138/9781442678590
   Forino G, 2017, INT J DISAST RISK RE, V24, P100, DOI 10.1016/j.ijdrr.2017.05.021
   Goldstein H., 1990, Problem-oriented policing
   Haberfeld M., 2023, Policing Crisis Situations, SpringerBriefs in Criminology
   Harrington C., 2017, Security in the Anthropocene: Reflections on safety and care, DOI DOI 10.14361/9783839433379
   Holley C., 2012, The New Environmental Governance
   Holley C, 2020, ANNU REV CRIMINOL, V3, P341, DOI 10.1116/annurev-criminol-011419-041330
   Jardine M, 2023, ROUT INT HANDB, P319, DOI 10.4324/9781003083795-23
   Kramer R, 2022, ANNU REV CRIMINOL, V5, P43, DOI 10.1146/annurev-criminol-030321-041307
   Lee M, 2021, INT J CRIME JUSTICE, V10, P156, DOI 10.5204/ijcjsd.1887
   Loader I, 1997, BRIT J SOCIOL, V48, P1, DOI 10.2307/591907
   Loftus B., 2009, Police Culture in a Changing World
   McDonald Matt., 2021, Ecological Security: Climate Change and the Construction of Security Cambridge
   Mutongwizo T, 2021, POLIC-J POLICY PRACT, V15, P606, DOI 10.1093/police/paz033
   Nowell B, 2017, J CONTING CRISIS MAN, V25, P123, DOI 10.1111/1468-5973.12178
   OMalley P., 2016, SYDNEY LAW SCH RES P, V16, P1
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   Porter A., 2020, POLICING SETTLER COL, P397
   Ransley J, 2009, POLICE PRACT RES, V10, P365, DOI 10.1080/15614260802586335
   Reiner R., 2010, POLITICS POLICE
   Reisig M.D., 2014, OXFORD HDB POLICE PO
   Roberts A, 2023, J INT ECON LAW, V26, P233, DOI 10.1093/jiel/jgad009
   Rukus J, 2018, CRIME DELINQUENCY, V64, P1858, DOI 10.1177/0011128716686339
   Scott John., 2007, Crime in Rural Australia, P127
   Sears NA, 2020, GLOB POLICY, V11, P255, DOI 10.1111/1758-5899.12800
   Skolnick JeromeH., 1967, JUSTICE TRIAL LAW EN
   Thacher D, 2001, LAW SOC REV, V35, P765, DOI 10.2307/3185416
   Thacher D., 2022, Criminal Justice Ethics, V41, P62, DOI [10.1080/0731129x.2022.2062546, DOI 10.1080/0731129X.2022.2062546]
   Turnbull JW, 2021, SUSTAIN SCI, V16, P1475, DOI 10.1007/s11625-021-00981-4
   van der Heijden J., 2021, POLICY QUARTERLY, DOI [10.2139/ssrn.3762506, DOI 10.2139/SSRN.3762506]
   Varano S.P., 2012, POLICING DISASTERS R, P83
   VicPol, 2014, VICT POL BLUE PAP VI, P1
   VicPol, 2016, VICT POL CAP PLAN 20, P1
   VicPol, 2020, POL STOR VICT POL RE
   Vitale A., 2017, THE END OF POLICING
   WEISHEIT RA, 1994, CRIME DELINQUENCY, V40, P549, DOI 10.1177/0011128794040004005
   Wood J., 2007, IMAGINING SECURITY
   Wood J, 2008, POLIC SOC, V18, P72, DOI 10.1080/10439460701718583
NR 64
TC 4
Z9 4
U1 6
U2 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD SEP
PY 2023
VL 95
AR 103848
DI 10.1016/j.ijdrr.2023.103848
EA JUL 2023
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA N6BK6
UT WOS:001037841000001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Wang, FX
   Belusic, D
   Amorim, JH
   Ribeiro, I
AF Wang, Fuxing
   Belusic, Danijel
   Amorim, Jorge H.
   Ribeiro, Isabel
TI Assessing the impacts of physiography refinement on Stockholm summer
   urban temperature simulated with an offline land surface model
SO URBAN CLIMATE
LA English
DT Article
DE Land surface model; Convection -permitting model; Physiography; Urban
   canopy model; Urban canopy parameters; Physiography refinement
ID ENERGY-BALANCE MODEL; CLIMATE; PARAMETERIZATION; PRECIPITATION;
   IMPLEMENTATION; VARIABLES; DRIVEN; CITIES; SCHEME; LEVEL
AB Urban climate information at high spatial resolution (tens or hundreds meter scale) is needed for local climate adaptation. Due to the high demand for computational resources by convection -permitting models (CPMs) that can resolve urban areas and the general lack of accurate urban physiography information, the downscaling of climate data to sub-km scale is challenging. This work explores the feasibility of simulating urban air temperatures using a much less computa-tionally expensive offline land surface model (LSM) with refined physiography. The method is based on the SURFEX LSM downscaling to 300 m of a set of CPM simulations with an original grid spacing of 3 km. Results show that the influence of different physiography in the CPM atmo-spheric forcing on the SURFEX simulations decreases with the increase of forcing height, and it becomes statistically non-significant at a forcing height of 50 m or above. On the other hand, the impacts of physiography change on 2-m temperature (T2m) simulated by the offline LSM are highly correlated when using different physiography in the CPM simulations, regardless of the forcing height. The refined physiography dataset was produced using open-access products, which enables the proposed method to be used in other regions.
C1 [Wang, Fuxing; Belusic, Danijel; Amorim, Jorge H.; Ribeiro, Isabel] Swedish Meteorol & Hydrol Inst, Folkborgsvagen 17, S-60176 Norrkoping, Sweden.
   [Belusic, Danijel] Univ Zagreb, Zagreb, Croatia.
C3 Swedish Meteorological & Hydrological Institute; University of Zagreb
RP Wang, FX (corresponding author), Swedish Meteorol & Hydrol Inst, Folkborgsvagen 17, S-60176 Norrkoping, Sweden.
EM fuxing.wang@smhi.se
RI Amorim, Jorge/E-7515-2010; WANG, Fuxing/E-7245-2016; Belusic,
   Danijel/E-5672-2012
OI WANG, Fuxing/0000-0001-7582-2752; Belusic, Danijel/0000-0002-5665-3866
FU project GreenWave of The Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (Formas) [2018-02870];
   project BRIGHT of The Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (Formas) [2021-02390];
   Vinnova [2021-02390] Funding Source: Vinnova; Formas [2021-02390,
   2018-02870] Funding Source: Formas
FX This study was funded by projects GreenWave (ref. 2018-02870) and BRIGHT
   (ref. 2021-02390) of The Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (Formas). We are grateful to
   the two anonymous reviewers for the insightful comments. We also thank
   Peter Wiborn, project manager on climate adaptation at Stockholm City.
CR Amorim JH, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100632
   Argüeso D, 2016, CLIM DYNAM, V47, P1143, DOI 10.1007/s00382-015-2893-6
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Belusic D, 2020, GEOSCI MODEL DEV, V13, P1311, DOI 10.5194/gmd-13-1311-2020
   Colin J, 2010, TELLUS A, V62, P591, DOI 10.1111/j.1600-0870.2010.00467.x
   Daniel M, 2019, CLIM DYNAM, V52, P2745, DOI 10.1007/s00382-018-4289-x
   de Munck CS, 2013, GEOSCI MODEL DEV, V6, P1941, DOI 10.5194/gmd-6-1941-2013
   Faroux S, 2013, GEOSCI MODEL DEV, V6, P563, DOI 10.5194/gmd-6-563-2013
   Gao J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15788-7
   Gerard L, 2009, MON WEATHER REV, V137, P3960, DOI 10.1175/2009MWR2750.1
   Gidhagen L, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100549
   Guneralp B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6669
   Hamdi R, 2014, INT J CLIMATOL, V34, P978, DOI 10.1002/joc.3734
   Hamdi R, 2020, EARTH SYST ENVIRON, V4, P631, DOI 10.1007/s41748-020-00193-3
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Le Moigne P., 2012, SURFEX scientific documentation
   Lemonsu A, 2012, GEOSCI MODEL DEV, V5, P1377, DOI 10.5194/gmd-5-1377-2012
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Li XX, 2016, J GEOPHYS RES-ATMOS, V121, P4386, DOI 10.1002/2015JD024452
   Lind P, 2023, CLIM DYNAM, V61, P519, DOI 10.1007/s00382-022-06589-3
   Lind P, 2020, CLIM DYNAM, V55, P1893, DOI 10.1007/s00382-020-05359-3
   Masson V, 2013, GEOSCI MODEL DEV, V6, P929, DOI 10.5194/gmd-6-929-2013
   Masson V, 2000, BOUND-LAY METEOROL, V94, P357, DOI 10.1023/A:1002463829265
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Matte D, 2017, CLIM DYNAM, V49, P563, DOI 10.1007/s00382-016-3358-2
   Mironov D, 2010, BOREAL ENVIRON RES, V15, P218
   Mussetti G, 2020, INT J CLIMATOL, V40, P458, DOI 10.1002/joc.6221
   NOILHAN J, 1989, MON WEATHER REV, V117, P536, DOI 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2
   NUNEZ M, 1977, J APPL METEOROL, V16, P11, DOI 10.1175/1520-0450(1977)016<0011:TEBOAU>2.0.CO;2
   Prein AF, 2015, REV GEOPHYS, V53, P323, DOI 10.1002/2014RG000475
   Redon E, 2020, GEOSCI MODEL DEV, V13, P385, DOI 10.5194/gmd-13-385-2020
   Redon EC, 2017, GEOSCI MODEL DEV, V10, P385, DOI 10.5194/gmd-10-385-2017
   Sinclair VA, 2019, WEATHER, V74, P403, DOI 10.1002/wea.3525
   United Nations: World Urbanization Prospects, 2018, KEY FACTS
   Wilcke RAI, 2020, EARTH SYST DYNAM, V11, P1107, DOI 10.5194/esd-11-1107-2020
   Zsebeházi G, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12060709
   Zsebeházi G, 2020, IDOJARAS, V124, P191, DOI 10.28974/idojaras.2020.2.3
NR 38
TC 0
Z9 0
U1 3
U2 7
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAY
PY 2023
VL 49
AR 101531
DI 10.1016/j.uclim.2023.101531
EA MAY 2023
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA J4HK1
UT WOS:001009236900001
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Wu, YH
   Mashhoodi, B
   Patuano, A
   Lenzholzer, S
   Zertuche, LN
   Acred, A
AF Wu, Yehan
   Mashhoodi, Bardia
   Patuano, Agnes
   Lenzholzer, Sanda
   Zertuche, Laura Narvaez
   Acred, Andy
TI Heat-prone neighbourhood typologies of European cities with temperate
   climate
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban morphology; Typomorphology; Urban heat islands; Urban design;
   Microclimates; Local climate zone
ID OUTDOOR THERMAL COMFORT; URBAN OPEN SPACES; STREET CANYON; ASPECT RATIO;
   DESIGN; IMPACT; ZONES; CLASSIFICATION; MICROCLIMATE; ORIENTATION
AB Outdoor microclimates vary among different urban neighbourhoods depending on their morphological varia-tions. The Local Climate Zone (LCZ) framework is a well-developed typomorphological classification used to capture the variation that characterises neighbourhood microclimates. However, it does not include detailed morphological parameters within neighbourhoods that have synergistic effects on microclimates. It is thus essential to develop neighbourhood typologies with detailed spatial descriptions. This study first identifies the LCZ in Amsterdam, London and Paris with the highest Land Surface Temperature (hereinafter referred to as the most heat-prone areas). Subsequently, parameters which are not covered by the LCZs were analysed, including building block's floor area ratio and shape factor, street canyon's orientation and Height-to-Width ratio, street total length, green space area, and tree cover ratio. The results show that LCZ 2-compact mid-rise areas are the most heat-prone. Employing K-means cluster analysis, four neighbourhood typologies are distinguished within the LCZ 2: mainly wide streets with N-S and E-W orientations, mainly narrow streets with N-S and E-W orien-tations, mainly narrow streets with NE-SW and NW-SE orientations, mainly wide streets with four orientations divided by 45 degrees. These generalised neighbourhood typologies can be used as the basis for design interventions aiming at climate adaptation in heat-prone urban areas.
C1 [Wu, Yehan; Mashhoodi, Bardia; Patuano, Agnes; Lenzholzer, Sanda] Wageningen Univ & Res, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, Wageningen, Netherlands.
   [Wu, Yehan; Zertuche, Laura Narvaez; Acred, Andy] Foster Partners, London, England.
   [Wu, Yehan] Wageningen Univ & Res, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Wu, YH (corresponding author), Wageningen Univ & Res, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM yehan.wu@wur.nl
RI Patuano, Agnès/AAX-7270-2020
OI Wu, Yehan/0000-0003-4063-7535; Patuano, Agnes/0000-0002-1888-855X
FU European Union [861119]; Marie Curie Actions (MSCA) [861119] Funding
   Source: Marie Curie Actions (MSCA)
FX This work received funding from the European Union's Horizon 2020
   research and innovation programme under the Marie SklodowskaCurie grant
   agreement No 861119. The authors wish to thank Irene Gallou, Samuel
   Wilkinson, Reinier Zeldenrust, and Maude Pinet for providing their
   insights to this research.
CR Aboelata A, 2020, BUILD ENVIRON, V172, DOI 10.1016/j.buildenv.2020.106712
   Aghamolaei R, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100665
   Aleksandrowicz O, 2017, URBAN CLIM, V21, P1, DOI 10.1016/j.uclim.2017.04.002
   Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   Amani-Beni M, 2018, URBAN FOR URBAN GREE, V32, P1, DOI 10.1016/j.ufug.2018.03.016
   Aminipouri M, 2019, URBAN FOR URBAN GREE, V39, P9, DOI 10.1016/j.ufug.2019.01.016
   [Anonymous], 2015, 2015 JOINT URBAN REM, DOI [DOI 10.1109/JURSE.2015.7120456, 10.1109/JURSE.2015.7120456]
   [Anonymous], 2019, OS MASTERMAP BUILD H
   Atelier Parisien d'Urbanisme, 2020, PLU HAUT
   Bechtel B, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.01.005
   Bechtel B, 2012, IEEE J-STARS, V5, P1191, DOI 10.1109/JSTARS.2012.2189873
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Benjamin K, 2021, ENERGIES, V14, DOI 10.3390/en14165208
   Brown R., 2010, DESIGN MICROCLIMATE
   Cai M, 2018, URBAN CLIM, V24, P485, DOI 10.1016/j.uclim.2017.05.010
   Chatzidimitriou A, 2017, SUSTAIN CITIES SOC, V33, P85, DOI 10.1016/j.scs.2017.05.019
   Chen YP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072752
   Cohen P, 2012, BUILD ENVIRON, V51, P285, DOI 10.1016/j.buildenv.2011.11.020
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Demuzere M, 2022, EARTH SYST SCI DATA, V14, P3835, DOI 10.5194/essd-14-3835-2022
   Demuzere M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0214474
   DiMiceli C., 2015, MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006, DOI [DOI 10.5067/MODIS/MOD44B.006, 10.5067/modis/mod44b.006]
   Elbondira TA, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103273
   Eldesoky AH, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103971
   Erell E, 2008, ADV BUILD ENERGY RES, V2, P95, DOI 10.3763/aber.2008.0204.2.1.95
   Froment H, 2020, CRED CRUNCH 58 DISAS, P58
   Hidalgo J, 2019, ANN NY ACAD SCI, V1436, P5, DOI 10.1111/nyas.13986
   Jallon Benoit., 2017, Paris Haussmann: modele de ville/a model's relevance
   James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI 10.1007/978-1-4614-7138-7_1
   Khosla R, 2021, NAT SUSTAIN, V4, P201, DOI 10.1038/s41893-020-00627-w
   Kim SW, 2022, SCI TOTAL ENVIRON, V808, DOI 10.1016/j.scitotenv.2021.152143
   Klemm W, 2015, LANDSCAPE URBAN PLAN, V138, P87, DOI 10.1016/j.landurbplan.2015.02.009
   Knight P.L, 2015, J URBANISM INT RES P, V8, P241, DOI DOI 10.1080/17549175.2014.909515
   Koc CB, 2018, IEEE J-STARS, V11, P2724, DOI 10.1109/JSTARS.2018.2815004
   Kodinariya T. M., 2013, Int. J. Adv. Res. Comput. Sci. Manag. Stud, V1, P90, DOI DOI 10.18576/AMIS/100428
   Lenzholzer S., 2015, WEATHER CITY HOW DES
   Lenzholzer S, 2016, LANDSCAPE URBAN PLAN, V153, P111, DOI 10.1016/j.landurbplan.2016.05.008
   Li N., 2020, ISUF 2020 CITIES 21, DOI [10.13140/RG.2.2.20864.46088, DOI 10.13140/RG.2.2.20864.46088]
   Liang SL, 2001, REMOTE SENS ENVIRON, V76, P213, DOI 10.1016/S0034-4257(00)00205-4
   Liu HM, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102987
   Liu YH, 2019, ECOL ENG, V140, DOI 10.1016/j.ecoleng.2019.105594
   Louf R, 2014, J R SOC INTERFACE, V11, DOI 10.1098/rsif.2014.0924
   Maiullari D, 2021, URBAN PLAN, V6, P240, DOI 10.17645/up.v6i3.4223
   Martins TAD, 2019, ENERG BUILDINGS, V190, P262, DOI 10.1016/j.enbuild.2019.02.019
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Pan W., 2019, THESIS HKU
   Pan WJ, 2021, BUILD ENVIRON, V192, DOI 10.1016/j.buildenv.2021.107587
   Paul A, 2018, CITIES, V74, P142, DOI 10.1016/j.cities.2017.11.015
   Perini K, 2014, URBAN FOR URBAN GREE, V13, P495, DOI 10.1016/j.ufug.2014.03.003
   Peters R., 2021, PREPRINT
   Pont MB, 2019, ENVIRON PLAN B-URBAN, V46, P1226, DOI 10.1177/2399808319857450
   Prominski Martin., 2016, Research in landscape architecture, P194, DOI DOI 10.4324/9781315396903-12
   Rahman MA, 2019, URBAN ECOSYST, V22, P683, DOI 10.1007/s11252-019-00853-x
   Rakoto PY, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127266
   Ramyar R, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101554
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Raymond C. M., 2017, MPACT EVALUATION FRA
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rode P, 2014, ENVIRON PLANN B, V41, P138, DOI 10.1068/b39065
   Roe J., 2021, RESTORATIVE CITIES U
   Rousi E, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31432-y
   Sangiorgio V, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75018-4
   Schaaf C., 2015, NASA EOSDIS LAND PRO, DOI [10.5067/MODIS/MCD43A3.006, DOI 10.5067/MODIS/MCD43A3.006]
   Schirmer P.M., 2019, The Mathematics of Urban Morphology, P355
   Schwaab J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26768-w
   Song Y, 2007, J URBAN DES, V12, P1, DOI 10.1080/13574800601072640
   Srivanit M, 2020, J BUILD ENG, V30, DOI 10.1016/j.jobe.2020.101262
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Taleghani M, 2015, BUILD ENVIRON, V83, P65, DOI 10.1016/j.buildenv.2014.03.014
   Urban Atlas, 2020, COP LAND MON SERV
   Wan Z., 2021, NASA EOSDIS Land Processes DAAC, DOI [DOI 10.5067/MODIS/MOD11A2.061, 10.5067/MODIS/MOD11A2.061]
   Witze A., 2022, NATURE
   Xu Y, 2017, LANDSCAPE URBAN PLAN, V167, P212, DOI 10.1016/j.landurbplan.2017.06.018
   Yang J, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102818
   Yao L, 2020, URBAN FOR URBAN GREE, V52, DOI 10.1016/j.ufug.2020.126704
   Yin S, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101571
   Yuan JH, 2017, SUSTAIN CITIES SOC, V32, P78, DOI 10.1016/j.scs.2017.03.021
   Zhang YJ, 2017, LANDSCAPE URBAN PLAN, V165, P162, DOI 10.1016/j.landurbplan.2017.04.009
   Zheng YS, 2018, URBAN CLIM, V24, P419, DOI 10.1016/j.uclim.2017.05.008
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
   US
NR 83
TC 15
Z9 16
U1 8
U2 44
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 2022
VL 87
AR 104174
DI 10.1016/j.scs.2022.104174
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 5L3PC
UT WOS:000870326300006
OA hybrid
DA 2025-01-10
ER

PT J
AU Ocobock, C
   Niclou, A
AF Ocobock, Cara
   Niclou, Alexandra
TI Commentary-fat but fit horizontal ellipsis and cold? Potential
   evolutionary and environmental drivers of metabolically healthy obesity
SO EVOLUTION MEDICINE AND PUBLIC HEALTH
LA English
DT Article
DE body mass index; obesity; cold climates; metabolically healthy obese
   phenotype; physical activity
ID BROWN ADIPOSE-TISSUE; BODY-MASS INDEX; ALL-CAUSE MORTALITY; REINDEER
   HERDERS; PHYSICAL-ACTIVITY; YAKUT SAKHA; CLIMATIC INFLUENCES;
   ENERGY-EXPENDITURE; CIRCUMPOLAR INUIT; DIAGNOSTIC TERM
AB As global obesity rates continue to rise, it is important to understand the origin, role and range of human variation of body mass index (BMI) in assessing health and healthcare. A growing body of evidence suggests that BMI is a poor indicator of health across populations, and that there may be a metabolically healthy obese phenotype. Here, we review the reasons why BMI is an inadequate tool for assessing cardiometabolic health. We then suggest that cold climate adaptations may also render BMI an uninformative metric. Underlying evolutionary and environmental drivers may allow for heat conserving larger body sizes without necessarily increasing metabolic health risks. However, there may also be a potential mismatch between modern obesogenic environments and adaptations to cold climates, highlighting the need to further investigate the potential for metabolically healthy obese phenotypes among circumpolar and other populations as well as the broader meaning for metabolic health.
   Lay Summary Global obesity rates are on the rise; however, body mass index (BMI) is a poor indicator of metabolic health. Here, we propose that cold climate populations may exhibit high BMIs, but relatively healthy metabolic profiles (metabolically healthy obesity) due to environmental and evolutionary pressures associated with inhabiting a cold climate.
C1 [Ocobock, Cara; Niclou, Alexandra] Univ Notre Dame, Dept Anthropol, 296 Corbett Family Hall, Notre Dame, IN 46556 USA.
   [Ocobock, Cara] Univ Notre Dame, Eck Inst Global Hlth, Inst Educ Initiat, Notre Dame, IN 46556 USA.
C3 University of Notre Dame; University of Notre Dame
RP Ocobock, C (corresponding author), Univ Notre Dame, Dept Anthropol, 296 Corbett Family Hall, Notre Dame, IN 46556 USA.
EM cocobock@nd.edu
OI Ocobock, Cara/0000-0002-6949-2029
CR [Anonymous], 1985, Natl Inst Health Consens Dev Conf Consens Statement, V5, P1
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Bjerregaard P, 2004, SCAND J PUBLIC HEALT, V32, P390, DOI 10.1080/14034940410028398
   Björntorp P, 2000, DIABETES METAB, V26, P10
   Breathett K, 2020, CIRCULATION, V141, pE948, DOI 10.1161/CIR.0000000000000773
   Cepon TJ, 2011, AM J HUM BIOL, V23, P703, DOI 10.1002/ajhb.21200
   Chaput JP, 2012, OBES REV, V13, P681, DOI 10.1111/j.1467-789X.2012.00992.x
   Château-Degat ML, 2011, INT J CIRCUMPOL HEAL, V70, P166, DOI 10.3402/ijch.v70i2.17802
   Chateau-Degat Marie-Ludivine, 2010, Can J Cardiol, V26, P190
   Chondronikola M, 2014, DIABETES, V63, P4089, DOI 10.2337/db14-0746
   Corbin C.B., 2000, Definitions: Health, Fitness, and Physical Activity
   Cypess AM, 2009, NEW ENGL J MED, V360, P1509, DOI 10.1056/NEJMoa0810780
   Deurenberg P, 2002, Obes Rev, V3, P141, DOI 10.1046/j.1467-789X.2002.00065.x
   Deurenberg-Yap M, 2003, NUTR REV, V61, pS80, DOI 10.1301/nr.2003.may.S80-S87
   DRAPER HH, 1977, AM ANTHROPOL, V79, P309, DOI 10.1525/aa.1977.79.2.02a00070
   DuBose KD, 2007, PEDIATRICS, V120, pE1262, DOI 10.1542/peds.2007-0443
   Duncan GE, 2010, INT J BEHAV NUTR PHY, V7, DOI 10.1186/1479-5868-7-47
   Egeland GM, 2011, INT J CIRCUMPOL HEAL, V70, P444, DOI 10.3402/ijch.v70i5.17854
   Eknoyan G, 2008, NEPHROL DIAL TRANSPL, V23, P47, DOI 10.1093/ndt/gfm517
   Flegal KM, 2013, JAMA-J AM MED ASSOC, V309, P71, DOI 10.1001/jama.2012.113905
   Ford JD, 2014, AM J PUBLIC HEALTH, V104, pE9, DOI 10.2105/AJPH.2013.301724
   Foster F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072269
   Friedrich MJ, 2017, JAMA-J AM MED ASSOC, V318, P603, DOI 10.1001/jama.2017.10693
   Frühbeck G, 2019, OBESITY FACTS, V12, P131, DOI 10.1159/000497124
   Galloway VA, 2000, AM J HUM BIOL, V12, P75, DOI 10.1002/(SICI)1520-6300(200001/02)12:1<75::AID-AJHB9>3.0.CO;2-G
   Gildner TE, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23460
   Godfrey TM, 2022, CURR HYPERTENS REP, V24, P107, DOI 10.1007/s11906-022-01178-5
   Guerre-Millo M, 2002, J ENDOCRINOL INVEST, V25, P855, DOI 10.1007/BF03344048
   Gustafsson A, 2009, ANN HUM BIOL, V36, DOI 10.1080/03014460802570576
   Hainer V, 2009, DIABETES CARE, V32, pS392, DOI 10.2337/dc09-S346
   Hamdy O, 2006, CURR DIABETES REV, V2, P367, DOI 10.2174/1573399810602040367
   Hanssen MJW, 2016, DIABETES, V65, P1179, DOI 10.2337/db15-1372
   Herz CT, 2022, DIABETES, V71, P93, DOI 10.2337/db21-0475
   Hinnouho GM, 2013, DIABETES CARE, V36, P2294, DOI 10.2337/dc12-1654
   Hoeke G, 2017, J CLIN LIPIDOL, V11, P920, DOI 10.1016/j.jacl.2017.04.117
   Hu G, 2005, INT J OBESITY, V29, P894, DOI 10.1038/sj.ijo.0802870
   Katzmarzyk PT, 1998, AM J PHYS ANTHROPOL, V106, P483, DOI 10.1002/(SICI)1096-8644(199808)106:4<483::AID-AJPA4>3.3.CO;2-K
   KEYS A, 1972, J CHRON DIS, V25, P329, DOI 10.1016/0021-9681(72)90027-6
   Kozlov Andrew, 2007, Int J Circumpolar Health, V66, P1, DOI [10.1080/22423982.2007.11864604B, 10.1080/22423982.2007.11864603, 10.1080/22423982.2007.11864604]
   Lean MEJ, 2016, INT J OBESITY, V40, P622, DOI 10.1038/ijo.2015.220
   Lear SA, 2007, AM J CLIN NUTR, V86, P353, DOI 10.1093/ajcn/86.2.353
   Lee S, 2005, DIABETES CARE, V28, P895, DOI 10.2337/diacare.28.4.895
   Lee S, 2017, PEDIATR DIABETES, V18, P660, DOI 10.1111/pedi.12492
   Leonard WR, 2014, AM J HUM BIOL, V26, P437, DOI 10.1002/ajhb.22524
   Leonard W.R., 2010, HUMAN EVOLUTIONARY B, P157
   Leonard WR, 2002, AM J HUM BIOL, V14, P609, DOI 10.1002/ajhb.10072
   Leonard WR., 2008, HLTH RISK ADVERSITY, P26
   Levy SB, 2018, AM J HUM BIOL, V30, DOI 10.1002/ajhb.23175
   Lichtenbelt WDV, 2009, NEW ENGL J MED, V360, P1500, DOI 10.1056/NEJMoa0808718
   Luke A, 2004, HYPERTENSION, V43, P555, DOI 10.1161/01.HYP.0000118020.44335.20
   Luke A, 2013, INT J EPIDEMIOL, V42, P1831, DOI 10.1093/ije/dyt159
   Mäkinen TM, 2006, INT J BIOMETEOROL, V51, P27, DOI 10.1007/s00484-006-0040-0
   Malhotra A, 2015, BRIT J SPORT MED, V49, P967, DOI 10.1136/bjsports-2015-094911
   Mann S, 2014, SPORTS MED, V44, P211, DOI 10.1007/s40279-013-0110-5
   Martin ASG, 2006, AM J CLIN NUTR, V83, p461S, DOI 10.1093/ajcn/83.2.461s
   Masters RK, 2013, AM J PUBLIC HEALTH, V103, P1895, DOI 10.2105/AJPH.2013.301379
   Matsushita M, 2014, INT J OBESITY, V38, P812, DOI 10.1038/ijo.2013.206
   Mechanick JI, 2017, ENDOCR PRACT, V23, P372, DOI 10.4158/EP161688.PS
   Niclou A, 2022, AM J BIOL ANTHROPOL, V177, P134
   Niclou A, 2022, AM J HUM BIOL, V34, DOI 10.1002/ajhb.23716
   Ocobock C, 2022, J PHYSIOL ANTHROPOL, V41, DOI 10.1186/s40101-022-00290-4
   Ocobock C, 2022, INT J CIRCUMPOL HEAL, V81, DOI 10.1080/22423982.2021.2024960
   Ocobock C, 2022, AM J HUM BIOL, V34, DOI 10.1002/ajhb.23676
   Ocobock C, 2020, AM J HUM BIOL, V32, DOI 10.1002/ajhb.23432
   Ortega FB, 2018, BRIT J SPORT MED, V52, P151, DOI 10.1136/bjsports-2016-097400
   Ortega FB, 2013, EUR HEART J, V34, P390, DOI 10.1093/eurheartj/ehs174
   Ouellet V, 2012, J CLIN INVEST, V122, P545, DOI 10.1172/JCI60433
   Payne S, 2018, AM J PHYS ANTHROPOL, V166, P313, DOI 10.1002/ajpa.23432
   Prins JB, 2002, BEST PRACT RES CL EN, V16, P639, DOI 10.1053/beem.2002.0222
   Quetelet A., 1968, TREATISE MAN DEV HIS
   Racette SB, 2003, PHYS THER, V83, P276, DOI 10.1093/ptj/83.3.276
   Ramachandran A, 2010, J OBES, V2010, DOI 10.1155/2010/868573
   RODE A, 1973, MED SCI SPORT EXER, V5, P170
   RODE A, 1994, AM J HUM BIOL, V6, P249, DOI 10.1002/ajhb.1310060214
   Ronn PF, 2017, J EPIDEMIOL COMMUN H, V71, P536, DOI 10.1136/jech-2016-207813
   Ruff C, 2002, ANNU REV ANTHROPOL, V31, P211, DOI 10.1146/annurev.anthro.31.040402.085407
   Scheja L, 2019, NAT REV ENDOCRINOL, V15, P507, DOI 10.1038/s41574-019-0230-6
   Shephard R., 1996, HLTH CONSEQUENCES MO
   Smith GI, 2019, J CLIN INVEST, V129, P3978, DOI 10.1172/JCI129186
   Snodgrass JJ, 2008, AM J PHYS ANTHROPOL, V137, P145, DOI 10.1002/ajpa.20851
   Snodgrass J Josh, 2006, J Physiol Anthropol, V25, P75, DOI 10.2114/jpa2.25.75
   Snodgrass JJ, 2007, AM J HUM BIOL, V19, P165, DOI 10.1002/ajhb.20624
   Snodgrass JJ, 2013, ANNU REV ANTHROPOL, V42, P69, DOI 10.1146/annurev-anthro-092412-155517
   Snodgrass JJ, 2005, AM J HUM BIOL, V17, P155, DOI 10.1002/ajhb.20106
   Sorensen MV, 2009, AM J PHYS ANTHROPOL, V138, P62, DOI 10.1002/ajpa.20899
   Stocks JM, 2004, AVIAT SPACE ENVIR MD, V75, P444
   Tikuisis P, 2000, J APPL PHYSIOL, V89, P1403, DOI 10.1152/jappl.2000.89.4.1403
   Tsai AG, 2011, OBES REV, V12, P50, DOI 10.1111/j.1467-789X.2009.00708.x
   Turunen M, 2021, ARCTIC, V74, P188, DOI 10.14430/arctic72667
   Valeggia CR, 2015, ANNU REV ANTHROPOL, V44, P117, DOI 10.1146/annurev-anthro-102214-013831
   VALLERAND AL, 1989, EUR J APPL PHYSIOL, V58, P873, DOI 10.1007/BF02332221
   van der Lans AAJJ, 2016, J PHYSIOL SCI, V66, P77, DOI 10.1007/s12576-015-0398-z
   van Vliet-Ostaptchouk JV, 2014, BMC ENDOCR DISORD, V14, DOI 10.1186/1472-6823-14-9
   Vasan SK, 2016, NAT REV ENDOCRINOL, V12, P375, DOI 10.1038/nrendo.2016.77
   WANG J, 1994, AM J CLIN NUTR, V60, P23, DOI 10.1093/ajcn/60.1.23
   Weinstein AR, 2008, ARCH INTERN MED, V168, P884, DOI 10.1001/archinte.168.8.884
   Wharton S, 2020, CAN MED ASSOC J, V192, pE875, DOI 10.1503/cmaj.191707
   Withrow D, 2011, OBES REV, V12, P131, DOI 10.1111/j.1467-789X.2009.00712.x
   World Health Organization, 2021, OB OV
   Yoon YS, 2007, INT J OBESITY, V31, P528, DOI 10.1038/sj.ijo.0803442
   Young TK, 2007, AM J PUBLIC HEALTH, V97, P691, DOI 10.2105/AJPH.2005.080614
   Young TK, 1996, HUM BIOL, V68, P245
NR 102
TC 7
Z9 8
U1 0
U2 6
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
EI 2050-6201
J9 EVOL MED PUBLIC HLTH
JI Evol. Med. Public Health
PD JAN 5
PY 2022
VL 10
IS 1
BP 400
EP 408
DI 10.1093/emph/eoac030
EA SEP 2022
PG 9
WC Evolutionary Biology; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology; Public, Environmental & Occupational Health
GA 4I5OM
UT WOS:000850626500001
PM 36071988
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Prapas, D
   Scalone, R
   Lee, J
   Nurkowski, KA
   Bou-assi, S
   Rieseberg, L
   Battlay, P
   Hodgins, KA
AF Prapas, Diana
   Scalone, Romain
   Lee, Jacqueline
   Nurkowski, Kristin A.
   Bou-assi, Sarah
   Rieseberg, Loren
   Battlay, Paul
   Hodgins, Kathryn A.
TI Quantitative trait loci mapping reveals an oligogenic architecture of a
   rapidly adapting trait during the European invasion of common ragweed
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE Ambrosia artemisiifolia; flowering time; genetic map; haploblocks;
   quantitative trait loci
ID AMBROSIA-ARTEMISIIFOLIA; GENETIC ARCHITECTURE; NATURAL-SELECTION;
   FLOWERING TIME; ADAPTATION; EVOLUTION; ARABIDOPSIS; PLANT;
   DIFFERENTIATION; POPULATIONS
AB Biological invasions offer a unique opportunity to investigate evolution over contemporary timescales. Rapid adaptation to local climates during range expansion can be a major determinant of invasion success, yet fundamental questions remain about its genetic basis. This study sought to investigate the genetic basis of climate adaptation in invasive common ragweed (Ambrosia artemisiifolia). Flowering time adaptation is key to this annual species' invasion success, so much so that it has evolved repeated latitudinal clines in size and phenology across its native and introduced ranges despite high gene flow among populations. Here, we produced a high-density linkage map (4493 SNPs) and paired this with phenotypic data from an F2 mapping population (n = 336) to identify one major and two minor quantitative trait loci (QTL) underlying flowering time and height differentiation in this species. Within each QTL interval, several candidate flowering time genes were also identified. Notably, the major flowering time QTL detected in this study was found to overlap with a previously identified haploblock (putative inversion). Multiple genetic maps of this region identified evidence of suppressed recombination in specific genotypes, consistent with inversions. These discoveries support the expectation that a concentrated genetic architecture with fewer, larger, and more tightly linked alleles should underlie rapid local adaptation during invasion, particularly when divergently adapting populations experience high levels of gene flow.
C1 [Prapas, Diana; Lee, Jacqueline; Nurkowski, Kristin A.; Bou-assi, Sarah; Battlay, Paul; Hodgins, Kathryn A.] Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
   [Scalone, Romain] Swedish Univ Agr Sci, Uppsala Ecol Ctr, Dept Crop Prod Ecol, Uppsala, Sweden.
   [Scalone, Romain] Hsch Geisenheim Univ, Dept Grapevine Breeding, Geisenheim, Germany.
   [Nurkowski, Kristin A.; Rieseberg, Loren] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
   [Nurkowski, Kristin A.; Rieseberg, Loren] Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada.
C3 Monash University; Swedish University of Agricultural Sciences;
   University of British Columbia; University of British Columbia
RP Hodgins, KA (corresponding author), Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
EM kathryn.hodgins@monash.edu
RI ; Rieseberg, Loren/B-3591-2013
OI SCALONE, Romain/0000-0002-9687-8584; Rieseberg,
   Loren/0000-0002-2712-2417; Battlay, Paul/0000-0001-6050-1868
FU Australian Research Council [DP180102531, DP220102362]; Svenska
   Forskningsradet Formas [2016-00453]; Formas [2016-00453] Funding Source:
   Formas
FX Australian Research Council, Grant/Award Number: DP180102531 and
   DP220102362; Svenska Forskningsradet Formas, Grant/Award Number:
   2016-00453
CR Ågren J, 2017, EVOLUTION, V71, P550, DOI 10.1111/evo.13126
   Ahn JH, 2006, EMBO J, V25, P605, DOI 10.1038/sj.emboj.7600950
   Anderson JT, 2011, TRENDS GENET, V27, P258, DOI 10.1016/j.tig.2011.04.001
   Auge GA, 2019, NEW PHYTOL, V224, P55, DOI 10.1111/nph.15901
   Bainbridge HE, 2020, J EVOLUTION BIOL, V33, P1516, DOI 10.1111/jeb.13704
   BASSETT IJ, 1975, CAN J PLANT SCI, V55, P463, DOI 10.4141/cjps75-072
   Battlay P., 2023, BIORXIV, DOI [10.1101/2022.03.02.482376, DOI 10.1101/2022.03.02.482376]
   Baxter SW, 2009, HEREDITY, V102, P57, DOI 10.1038/hdy.2008.109
   Beavis William D., 1998, P145
   Berardini TZ, 2015, GENESIS, V53, P474, DOI 10.1002/dvg.22877
   Bieker V.C., 2022, BIORXIV, DOI [10.1101/2022.02.03.478494, DOI 10.1101/2022.02.03.478494]
   Bock DG, 2015, MOL ECOL, V24, P2277, DOI 10.1111/mec.13032
   Bouché F, 2016, NUCLEIC ACIDS RES, V44, pD1167, DOI 10.1093/nar/gkv1054
   Broman KW, 2009, STAT BIOL HEALTH, P1, DOI 10.1007/978-0-387-92125-9_1
   Broman KW, 2003, BIOINFORMATICS, V19, P889, DOI 10.1093/bioinformatics/btg112
   Bruelheide H, 2002, FLORA, V197, P475, DOI 10.1078/0367-2530-00064
   Callaway RM, 2006, TRENDS ECOL EVOL, V21, P369, DOI 10.1016/j.tree.2006.04.008
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Chauvel B, 2006, J BIOGEOGR, V33, P665, DOI 10.1111/j.1365-2699.2005.01401.x
   Chen KW, 2018, INT ARCH ALLERGY IMM, V176, DOI 10.1159/000487997
   Chun YJ, 2011, MOL ECOL, V20, P1378, DOI 10.1111/j.1365-294X.2011.05013.x
   Colautti RI, 2015, MOL ECOL, V24, P1999, DOI 10.1111/mec.13162
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Colautti RI, 2010, INT J PLANT SCI, V171, P960, DOI 10.1086/656444
   Collard BCY, 2005, EUPHYTICA, V142, P169, DOI 10.1007/s10681-005-1681-5
   Corbesier L, 2007, SCIENCE, V316, P1030, DOI 10.1126/science.1141752
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Dittmar EL, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.3065
   Dlugosch KM, 2015, MOL ECOL, V24, P2095, DOI 10.1111/mec.13183
   Essl F, 2015, J ECOL, V103, P1069, DOI 10.1111/1365-2745.12424
   Ferris KG, 2017, MOL ECOL, V26, P208, DOI 10.1111/mec.13763
   Franks SJ, 2014, MOL ECOL, V23, P2137, DOI 10.1111/mec.12718
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Friedman J, 2008, ANN BOT-LONDON, V101, P1303, DOI 10.1093/aob/mcn039
   Fuller ZL, 2020, GENETICS, V216, P205, DOI 10.1534/genetics.120.303460
   Gilchrist GW, 2007, GENETICA, V129, P127, DOI 10.1007/s10709-006-9009-5
   Gomulkiewicz R, 2010, EVOL APPL, V3, P97, DOI 10.1111/j.1752-4571.2009.00117.x
   Griffith TM, 2005, J EVOLUTION BIOL, V18, P1601, DOI 10.1111/j.1420-9101.2005.01021.x
   GRIME JP, 1977, AM NAT, V111, P1169, DOI 10.1086/283244
   Hämälä T, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1008707
   Helliwell EE, 2018, MOL ECOL, V27, P4758, DOI 10.1111/mec.14898
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Higuchi Y, 2013, P NATL ACAD SCI USA, V110, P17137, DOI 10.1073/pnas.1307617110
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Hodgins KA, 2011, J EVOLUTION BIOL, V24, P2731, DOI 10.1111/j.1420-9101.2011.02404.x
   Hodgins KA, 2019, NEW PHYTOL, V224, P1201, DOI 10.1111/nph.16186
   Hodgins KA, 2018, ANN PLANT REV ONLINE, V1, P459, DOI 10.1002/9781119312994.apr0643
   Huang KC, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00296
   Jaeger KE, 2007, CURR BIOL, V17, P1050, DOI 10.1016/j.cub.2007.05.008
   Keller SR, 2008, ECOL LETT, V11, P852, DOI 10.1111/j.1461-0248.2008.01188.x
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Kralemann LEM, 2018, J EXP BOT, V69, P2647, DOI 10.1093/jxb/ery100
   Laaidi M, 2003, ANN ALLERG ASTHMA IM, V91, P195, DOI 10.1016/S1081-1206(10)62177-1
   Leiblein-Wild MC, 2014, BIOL INVASIONS, V16, P2003, DOI 10.1007/s10530-014-0644-y
   Lenormand T, 2000, GENETICS, V156, P423
   Li H, 2010, HEREDITY, V105, P257, DOI 10.1038/hdy.2010.56
   Li H, 2019, GENETICS, V211, P289, DOI 10.1534/genetics.118.301747
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li XM, 2015, OECOLOGIA, V177, P669, DOI 10.1007/s00442-014-3127-z
   Li XH, 2011, THEOR APPL GENET, V123, P667, DOI 10.1007/s00122-011-1617-5
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   LYTTLE TW, 1993, TRENDS GENET, V9, P205, DOI 10.1016/0168-9525(93)90120-7
   McGoey BV, 2021, EVOL APPL, V14, P1436, DOI 10.1111/eva.13211
   McGoey BV, 2020, ECOL EVOL, V10, P4595, DOI 10.1002/ece3.6163
   McKay JK, 2008, EVOLUTION, V62, P3014, DOI 10.1111/j.1558-5646.2008.00474.x
   Michaels SD, 2009, CURR OPIN PLANT BIOL, V12, P75, DOI 10.1016/j.pbi.2008.09.005
   Michaels SD, 2003, P NATL ACAD SCI USA, V100, P10102, DOI 10.1073/pnas.1531467100
   Moraes TS, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00097
   Orr HA, 2005, NAT REV GENET, V6, P119, DOI 10.1038/nrg1523
   Orr HA, 1998, EVOLUTION, V52, P935, DOI 10.1111/j.1558-5646.1998.tb01823.x
   Ouellette LA, 2018, BIOINFORMATICS, V34, P306, DOI 10.1093/bioinformatics/btx576
   Putterill J, 2004, BIOESSAYS, V26, P363, DOI 10.1002/bies.20021
   Rastas P, 2017, BIOINFORMATICS, V33, P3726, DOI 10.1093/bioinformatics/btx494
   Ratcliffe OJ, 2003, PLANT CELL, V15, P1159, DOI 10.1105/tpc.009506
   Ratcliffe OJ, 2001, PLANT PHYSIOL, V126, P122, DOI 10.1104/pp.126.1.122
   Reeves PH, 2002, DEVELOPMENT, V129, P5349, DOI 10.1242/dev.00113
   Remington DL, 2015, EVOLUTION, V69, P3025, DOI 10.1111/evo.12775
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   ROFF DA, 1995, HEREDITY, V74, P481, DOI 10.1038/hdy.1995.68
   Sakai AK, 2001, ANNU REV ECOL SYST, V32, P305, DOI 10.1146/annurev.ecolsys.32.081501.114037
   Santangelo JS, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0230
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Sax DF, 2000, GLOBAL ECOL BIOGEOGR, V9, P363, DOI 10.1046/j.1365-2699.2000.00217.x
   Scalone R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0166510
   Shen YS, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00390
   Sherrard ME, 2012, EVOL ECOL, V26, P529, DOI 10.1007/s10682-011-9518-2
   Smith M, 2013, ENVIRON INT, V61, P115, DOI 10.1016/j.envint.2013.08.005
   Stinson KA, 2018, PLANT ECOL, V219, P1081, DOI 10.1007/s11258-018-0860-0
   Taramarcaz P, 2005, SWISS MED WKLY, V135, P538
   Tigano A, 2016, MOL ECOL, V25, P2144, DOI 10.1111/mec.13606
   Todesco M, 2020, NATURE, V584, P602, DOI 10.1038/s41586-020-2467-6
   Tokarska-Guzik B., 2011, Biodiversity: Research and Conservation, V21, P39, DOI 10.2478/v10119-011-0008-8
   van Boheemen LA, 2020, MOL ECOL, V29, P4102, DOI 10.1111/mec.15429
   van Boheemen LA, 2019, NEW PHYTOL, V222, P614, DOI 10.1111/nph.15564
   van Boheemen LA, 2017, MOL ECOL, V26, P5421, DOI 10.1111/mec.14293
   Weaver SE, 2001, CAN J PLANT SCI, V81, P821, DOI 10.4141/P01-057
   Wellmer F, 2010, TRENDS GENET, V26, P519, DOI 10.1016/j.tig.2010.09.001
   Westley PAH, 2011, AM NAT, V177, P496, DOI 10.1086/658902
   Yan WJ, 2021, NEW PHYTOL, V230, P1214, DOI 10.1111/nph.17229
   Yeaman S, 2011, EVOLUTION, V65, P2123, DOI 10.1111/j.1558-5646.2011.01277.x
   Yeaman S, 2011, EVOLUTION, V65, P1897, DOI 10.1111/j.1558-5646.2011.01269.x
   Zhang H, 2002, PLANT J, V31, P663, DOI 10.1046/j.1365-313X.2002.01380.x
   Zu PJ, 2017, PLANT J, V89, P1009, DOI 10.1111/tpj.13440
NR 104
TC 3
Z9 3
U1 1
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD AUG
PY 2022
VL 15
IS 8
BP 1249
EP 1263
DI 10.1111/eva.13453
EA AUG 2022
PG 15
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA 4D1QN
UT WOS:000836037200001
PM 36051461
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Qi, JY
   Zhang, XS
   Yang, QC
   Srinivasan, R
   Arnold, JG
   Li, J
   Waldholf, ST
   Cole, J
AF Qi, Junyu
   Zhang, Xuesong
   Yang, Qichuan
   Srinivasan, R.
   Arnold, Jeffrey G.
   Li, Jia
   Waldholf, Stephanie T.
   Cole, Jefferson
TI SWAT ungauged: Water quality modeling in the Upper Mississippi River
   Basin
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Stream flow; Sediment; Nitrate; Total nitrogen; Watershed
ID ASSESSMENT-TOOL; HYDROLOGIC-MODELS; SOIL-TEMPERATURE; LAND-USE; MODULE;
   CALIBRATION; REPRESENTATION; PARAMETERS; IMPACTS; FUTURE
AB Improving model performance in ungauged basins has been a chronic challenge in watershed model application to understand and assess water quality impacts of agricultural conservation practices, land use change, and climate adaptation measures in large river basins. Here, we evaluate a modified version of SWAT2012 (referred to as SWAT-EC hereafter), which integrates an energy balanced soil temperature module (STM) and the CENTRUY-based soil organic matter algorithm, for simulating water quality parameters in the Upper Mississippi River Basin (UMRB), and compare it against the original SWAT2012. Model evaluation was performed for simulating streamflow, sediment, and nitrate-N (NO3-N) and total nitrogen (TN) loadings at three stations near the outlets of UMRB. The model comparison was conducted without parameter calibration in order to assess their performance under ungauged conditions. The results indicate that SWAT-EC outperformed SWAT2012 for stream flow and NO3-N and TN loading simulation on both monthly and annual scales. For sediment, SWAT-EC performed better than SWAT2012 on a monthly time step basis, but no noticeable improvement was found at the annual scale. In addition, the performance of the uncalibrated SWAT-EC was comparable to other calibrated SWAT models reported in previous publications with respect to sediment and NO3-N loadings. These findings highlight the importance of advancing process representation in physically-based models to improve model credibility, particularly in ungauged basins.
C1 [Qi, Junyu; Zhang, Xuesong] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA.
   [Zhang, Xuesong; Waldholf, Stephanie T.] Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA.
   [Zhang, Xuesong; Waldholf, Stephanie T.] Univ Maryland, College Pk, MD 20740 USA.
   [Yang, Qichuan] Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic 3010, Australia.
   [Srinivasan, R.] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.
   [Srinivasan, R.] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA.
   [Arnold, Jeffrey G.] USDA ARS, Grassland Soil & Water Res Lab, Temple, TX 76502 USA.
   [Li, Jia; Cole, Jefferson] US EPA, 1200 Penn Ave,NW 6207 A, Washington, DC 20460 USA.
C3 University System of Maryland; University of Maryland College Park;
   United States Department of Energy (DOE); Pacific Northwest National
   Laboratory; University System of Maryland; University of Maryland
   College Park; University of Melbourne; Texas A&M University System;
   Texas A&M University College Station; Texas A&M University System; Texas
   A&M University College Station; United States Department of Agriculture
   (USDA); United States Environmental Protection Agency
RP Zhang, XS (corresponding author), Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA.; Zhang, XS (corresponding author), Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA.; Zhang, XS (corresponding author), Univ Maryland, College Pk, MD 20740 USA.
EM xzhang14@umd.edu
RI zhang, xuesong/B-7907-2009; Qi, Junyu/AAT-5231-2020
OI Zhang, Xuesong/0000-0003-4711-7751; Qi, Junyu/0000-0001-5316-4226
FU National Aeronautics and Space Administration [NNH13ZDA001N, NNX17AE66G,
   18-CMS18-0052]; United States Department of Agriculture
   [2017-67003-26485, 2017-67003-26484]; National Science Foundation
   [1639327]; United States Department of Agriculture Natural Resources
   Conservation Service - Conservation Effects Assessment Project
   (NRCS-CEAP)
FX The funding support for this project was provided by National
   Aeronautics and Space Administration (NNH13ZDA001N, NNX17AE66G and
   18-CMS18-0052), and United States Department of Agriculture
   (2017-67003-26485 and 2017-67003-26484), and National Science Foundation
   (1639327). Funding was also provided in part by the United States
   Department of Agriculture Natural Resources Conservation Service -
   Conservation Effects Assessment Project (NRCS-CEAP). The views expressed
   in this paper are those of the authors and do not necessarily represent
   the views or policies of the U.S. Government.
CR [Anonymous], 2012, J GEOPHYS RES ATMOS
   [Anonymous], ENERG CONVERS MANAGE, DOI DOI 10.1016/J.ENCONMAN.2015.11.063
   [Anonymous], 2016 INT SWAT C MULT
   [Anonymous], COASTAL HYDROLOGY 2
   [Anonymous], 2009, Numerical heat transfer and fluid flow
   [Anonymous], 1994, QUANT MODEL SOIL FOR
   Arnold JG, 2015, T ASABE, V58, P1637
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Arnold JG, 2000, J HYDROL, V227, P21, DOI 10.1016/S0022-1694(99)00139-0
   BEVEN K, 1992, HYDROL PROCESS, V6, P279, DOI 10.1002/hyp.3360060305
   Beven K, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0000991
   Boyle DP, 2000, WATER RESOUR RES, V36, P3663, DOI 10.1029/2000WR900207
   BURN DH, 1993, J HYDROL, V143, P429, DOI 10.1016/0022-1694(93)90203-L
   Butts MB, 2004, J HYDROL, V298, P242, DOI 10.1016/j.jhydrol.2004.03.042
   Chu TW, 2004, T ASAE, V47, P1057, DOI 10.13031/2013.16579
   Clark MP, 2015, WATER RESOUR RES, V51, P5929, DOI 10.1002/2015WR017096
   Doherty J, 2003, J AM WATER RESOUR AS, V39, P251, DOI 10.1111/j.1752-1688.2003.tb04381.x
   Duan QY, 2007, ADV WATER RESOUR, V30, P1371, DOI 10.1016/j.advwatres.2006.11.014
   Eckhardt K, 2002, PHYS CHEM EARTH, V27, P641, DOI 10.1016/S1474-7065(02)00048-7
   Fenicia F, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006386
   Fortin JP, 2001, J HYDROL ENG, V6, P91, DOI 10.1061/(ASCE)1084-0699(2001)6:2(91)
   Gassman P., 2006, Coastal hydrology and processes, P103
   Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
   Gitau MW, 2010, WATER-SUI, V2, P849, DOI 10.3390/w2040849
   Hülsmann L, 2015, ENVIRON EARTH SCI, V73, P581, DOI 10.1007/s12665-014-3173-1
   Jha M, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD003686
   Jha MK, 2015, REG ENVIRON CHANGE, V15, P449, DOI 10.1007/s10113-013-0539-y
   Kim NW, 2010, HYDROL PROCESS, V24, P96, DOI 10.1002/hyp.7474
   Krishnamurti TN, 1999, SCIENCE, V285, P1548, DOI 10.1126/science.285.5433.1548
   Lee S, 2017, T ASABE, V60, P1939, DOI 10.13031/trans.12390
   Lee S., 2016, PLoS ONE, V11, P6, DOI DOI 10.1371/J0URNAL.P0NE.0157637
   Li Q, 2014, AGR ECOSYST ENVIRON, V196, P114, DOI 10.1016/j.agee.2014.06.028
   Li WH, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011380
   Marshall L, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004613
   Mitchell K. E., 2004, J GEOPHYS RES ATMOS, V109
   Mittelstet AR, 2017, J AM WATER RESOUR AS, V53, P101, DOI 10.1111/1752-1688.12485
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Ndomba P, 2005, 3 INT SWAT C, P61
   Oudin L, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004636
   PARMELE LH, 1972, WATER RESOUR RES, V8, P348, DOI 10.1029/WR008i002p00348
   Perrin C, 2001, J HYDROL, V242, P275, DOI 10.1016/S0022-1694(00)00393-0
   Pomeroy JW, 2007, HYDROL PROCESS, V21, P2650, DOI 10.1002/hyp.6787
   Qi J., 2019, J HYDROL
   Qi JY, 2019, ADV WATER RESOUR, V131, DOI 10.1016/j.advwatres.2019.103380
   Qi JY, 2019, ECOL ENG, V129, P134, DOI 10.1016/j.ecoleng.2019.01.017
   Qi JY, 2018, ENVIRON MODELL SOFTW, V109, P329, DOI 10.1016/j.envsoft.2018.08.024
   Qi JY, 2018, HYDROL EARTH SYST SC, V22, P3789, DOI 10.5194/hess-22-3789-2018
   Qi JY, 2017, WATER RESOUR MANAG, V31, P3953, DOI 10.1007/s11269-017-1718-2
   Qi JY, 2017, ENVIRON MODELL SOFTW, V93, P146, DOI 10.1016/j.envsoft.2017.03.007
   Qi JY, 2016, WATER RESOUR MANAG, V30, P5021, DOI 10.1007/s11269-016-1466-8
   Qi JY, 2016, J HYDROL, V538, P863, DOI 10.1016/j.jhydrol.2016.05.003
   Sakaguchi A, 2014, AGR WATER MANAGE, V137, P116, DOI [10.1016/j.agwat.2014.01.099, 10.1016/j.agwat.2014.01.009]
   Seligman N., 1980, SIMULATION NITROGEN, V192
   Shamseldin AY, 1997, J HYDROL, V197, P203, DOI 10.1016/S0022-1694(96)03259-3
   Sivapalan M, 2003, HYDROL PROCESS, V17, P3163, DOI 10.1002/hyp.5155
   Srinivasan R, 2010, T ASABE, V53, P1533
   Sun WC, 2010, HYDROL EARTH SYST SC, V14, P2011, DOI 10.5194/hess-14-2011-2010
   Tuppad P, 2011, T ASABE, V54, P1677, DOI 10.13031/2013.39856
   Wagner PD, 2011, T ASABE, V54, P1783, DOI 10.13031/2013.39846
   Wu J., 2005, Marine Resource Economics, V20, P121, DOI DOI 10.1086/MRE.20.2.42629465
   Wu YP, 2012, CLIMATIC CHANGE, V110, P977, DOI 10.1007/s10584-011-0087-8
   Yang QC, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1259
   Yang QC, 2016, SCI TOTAL ENVIRON, V569, P1478, DOI 10.1016/j.scitotenv.2016.06.238
   Zhang CF, 2017, HYDROL PROCESS, V31, P916, DOI 10.1002/hyp.11073
   Zhang XS, 2008, J AM WATER RESOUR AS, V44, P48, DOI 10.1111/j.1752-1688.2007.00137.x
   Zhang XS, 2013, SCI TOTAL ENVIRON, V463, P810, DOI 10.1016/j.scitotenv.2013.06.056
   Zhao FB, 2020, J CLEAN PROD, V251, DOI 10.1016/j.jclepro.2019.119561
NR 68
TC 41
Z9 50
U1 12
U2 105
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 2020
VL 584
AR 124601
DI 10.1016/j.jhydrol.2020.124601
PG 11
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA LF4LE
UT WOS:000527390200086
PM 33627888
OA Bronze, Green Accepted
DA 2025-01-10
ER

PT J
AU Acanski, J
   Milicic, M
   Likov, L
   Milic, D
   Radenkovic, S
   Vujic, A
AF Acanski, Jelena
   Milicic, Marija
   Likov, Laura
   Milic, Dubravka
   Radenkovic, Snezana
   Vujic, Ante
TI Environmental niche divergence of species from <i>Merodon ruficornis</i>
   group (Diptera: Syrphidae)
SO ARCHIVES OF BIOLOGICAL SCIENCES
LA English
DT Article
DE environmental niche; PCA; MAXENT; ENMTools; Merodon ruficornis group
ID POSTGLACIAL COLONIZATION ROUTES; GENETIC CONSEQUENCES; SPECIATION;
   PHYLOGEOGRAPHY; CONSERVATISM; POPULATION; ECOLOGY; COMPLEX; MODELS;
   DISTRIBUTIONS
AB In this paper we analyzed environmental differentiation of closely related species from the Merodon ruficornis group. By applying principal component analysis (PCA) and environmental niche modelling (ENM)-based techniques, we estimated the level of niche divergence of closely related species. Our results indicate that ecology has an important role in the diversification process in related species from the M. ruficornis group. Distribution patterns of all analyzed species are mainly affected by the limiting effects of the temperature of the coldest quarter and month, as well as by the precipitation of the wettest and driest quarters. Our results demonstrated that among all related species, with the exception of M. ovaloides, overall or partial divergence in environmental space is present. Importantly, the results indicate that the environmental niches of all endemic species are restricted to smaller parts of the environmental space. In the case of niche overlap, the niches of endemic species are placed along the border of the realized niche of the widespread related species. For species in which distribution is not limited by geographical barriers, environmental preferences could be considered as limiting factors for further expansion, as in the case of M. alexandri, a lowland species with very strict climatic adaptations. Knowledge about the environmental factors that might influence the diversification process can provide an explanation for the high diversity in other Merodon species groups.
C1 [Acanski, Jelena] Univ Novi Sad, BioSense Inst, Dr Zorana Dindica 1, Novi Sad 21000, Serbia.
   [Milicic, Marija; Likov, Laura; Milic, Dubravka; Radenkovic, Snezana; Vujic, Ante] Univ Novi Sad, Dept Biol & Ecol, Trg Dositeja Obradovica 2, Novi Sad 21000, Serbia.
C3 University of Novi Sad; University of Novi Sad
RP Acanski, J (corresponding author), Univ Novi Sad, BioSense Inst, Dr Zorana Dindica 1, Novi Sad 21000, Serbia.
EM acanskijelena@gmail.com
RI Likov, Laura/Z-5494-2019; Miličić, Marija/V-7392-2019; Vujic,
   Ante/AAG-2996-2020; Acanski, Jelena/S-5383-2017
OI Milic, Dubravka/0000-0002-8828-1489; Likov, Laura/0000-0002-7215-1006;
   Vujic, Ante/0000-0002-8819-8079; Acanski, Jelena/0000-0003-1745-6410;
   Radenkovic, Snezana/0000-0002-7805-9614; Milicic,
   Marija/0000-0002-3154-660X
FU Ministry of Education, Science and Technological Development of the
   Republic of Serbia [OI173002, III43002]; Provincial Secretariat for
   Science and Technological Development of the Republic of Serbia (Genetic
   Resources of Agroecosystems in Vojvodina and Sustainable Agriculture)
FX This work was funded by the Ministry of Education, Science and
   Technological Development of the Republic of Serbia OI173002 and
   III43002 and the Provincial Secretariat for Science and Technological
   Development of the Republic of Serbia (Genetic Resources of
   Agroecosystems in Vojvodina and Sustainable Agriculture). We are
   grateful to Jennifer and Victoria Wickens from the University of
   Reading, UK for English revision during the writing process.
CR Andric A, 2014, ACTA ENT MUS NAT PRA, V54, P741
   [Anonymous], 2015, Syrph the Net, the Database of European Syrphidae
   [Anonymous], STUDIA DIPTEROLOGICA
   [Anonymous], QUATERNARY GLACIAT 1
   [Anonymous], CONSERVATION INSECTS
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   Bond JE, 2008, SYST BIOL, V57, P628, DOI 10.1080/10635150802302443
   COOPE GR, 1994, PHILOS T R SOC B, V344, P19, DOI 10.1098/rstb.1994.0046
   Dapporto L, 2010, J ZOOL SYST EVOL RES, V48, P229, DOI 10.1111/j.1439-0469.2009.00550.x
   Elith J, 2009, ECOGRAPHY, V32, P66, DOI 10.1111/j.1600-0587.2008.05505.x
   Federici PR, 2004, GEOGR ANN A, V86A, P235, DOI 10.1111/j.0435-3676.2004.00228.x
   Graham CH, 2004, EVOLUTION, V58, P1781, DOI 10.1554/03-274
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Habel JC, 2010, RELICT SPECIES: PHYLOGEOGRAPHY AND CONSERVATION BIOLOGY, P189, DOI 10.1007/978-3-540-92160-8_10
   Habel JC, 2008, ORG DIVERS EVOL, V8, P121, DOI 10.1016/j.ode.2007.04.002
   Hewitt GM, 2004, PHILOS T R SOC B, V359, P183, DOI 10.1098/rstb.2003.1388
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Hewitt GM, 2001, MOL ECOL, V10, P537, DOI 10.1046/j.1365-294x.2001.01202.x
   Hijmans R.J., 2005, The WorldClim Interpolated Global Terrestrial Climate Surfaces
   Hughes PD, 2006, PROG PHYS GEOG, V30, P334, DOI 10.1191/0309133306pp481ra
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   JAYNES ET, 1957, PHYS REV, V106, P620, DOI 10.1103/PhysRev.106.620
   Jeschke JM, 2008, ANN NY ACAD SCI, V1134, P1, DOI 10.1196/annals.1439.002
   Konstantinov Alexander S., 2009, P107, DOI 10.1002/9781444308211.ch7
   MacArthur R. H., 1984, GEOGRAPHICAL ECOLOGY
   McCormack JE, 2010, EVOLUTION, V64, P1231, DOI 10.1111/j.1558-5646.2009.00900.x
   Medley KA, 2010, GLOBAL ECOL BIOGEOGR, V19, P122, DOI 10.1111/j.1466-8238.2009.00497.x
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Milankov V, 2008, J ZOOL SYST EVOL RES, V46, P143, DOI 10.1111/j.1439-0469.2007.00448.x
   Nicholls JA, 2010, MOL ECOL, V19, P592, DOI 10.1111/j.1365-294X.2009.04499.x
   Nosil P, 2012, OX ECOL EV, P1, DOI 10.1093/acprof:osobl/9780199587100.001.0001
   Nosil P, 2009, TRENDS ECOL EVOL, V24, P145, DOI 10.1016/j.tree.2008.10.011
   Ortega-Huerta MA, 2008, REV MEX BIODIVERS, V79, P205
   Petersen MJ, 2013, BIOL INVASIONS, V15, P885, DOI 10.1007/s10530-012-0337-3
   Peterson AT, 2007, ECOGRAPHY, V30, P550, DOI 10.1111/j.2007.0906-7590.05102.x
   Peterson AT, 2011, J BIOGEOGR, V38, P817, DOI 10.1111/j.1365-2699.2010.02456.x
   Peterson AT, 2003, ECOL LETT, V6, P774, DOI 10.1046/j.1461-0248.2003.00502.x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2004, P 21 INT C MACH LEAR, P655, DOI DOI 10.1145/1015330.1015412
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Radenkovic S., 2004, Acta Entomologica Serbica, V7, P51
   Radenkovic S, 2011, ZOOTAXA, P35, DOI 10.11646/zootaxa.2735.1.5
   Raxworthy CJ, 2007, SYST BIOL, V56, P907, DOI 10.1080/10635150701775111
   Ricarte A, 2008, ENTOMOL FENNICA, V19, P129, DOI 10.33338/ef.84424
   Rissler LJ, 2007, SYST BIOL, V56, P924, DOI 10.1080/10635150701703063
   Sánchez-Fernández D, 2011, BIOL J LINN SOC, V103, P891, DOI 10.1111/j.1095-8312.2011.01668.x
   Schluter D, 2009, SCIENCE, V323, P737, DOI 10.1126/science.1160006
   SCHOENER TW, 1968, ECOLOGY, V49, P704, DOI 10.2307/1935534
   Seddon JM, 2002, J EVOLUTION BIOL, V15, P463, DOI 10.1046/j.1420-9101.2002.00408.x
   Ståhls G, 2009, MOL ECOL RESOUR, V9, P1431, DOI 10.1111/j.1755-0998.2009.02592.x
   Stockman AK, 2007, MOL ECOL, V16, P3374, DOI 10.1111/j.1365-294X.2007.03389.x
   Taberlet P, 1998, MOL ECOL, V7, P453, DOI 10.1046/j.1365-294x.1998.00289.x
   Ujvárosi L, 2010, J N AM BENTHOL SOC, V29, P1075, DOI 10.1899/09-099.1
   Vujic A, 2007, ANN SOC ENTOMOL FR, V43, P319, DOI 10.1080/00379271.2007.10697527
   Vujic A, 2015, ZOOTAXA, V4006, P439, DOI 10.11646/zootaxa.4006.3.2
   Vujic A, 2013, ZOOTAXA, V3640, P442, DOI 10.11646/zootaxa.3640.3.7
   Vujic A, 2012, SYST ENTOMOL, V37, P578, DOI 10.1111/j.1365-3113.2012.00631.x
   Vujic A, 2011, ANN SOC ENTOMOL FR, V47, P78, DOI 10.1080/00379271.2011.10697699
   Warren DL, 2008, EVOLUTION, V62, P2868, DOI 10.1111/j.1558-5646.2008.00482.x
   Warren DL, 2010, ECOGRAPHY, V33, P607, DOI 10.1111/j.1600-0587.2009.06142.x
   Wiens JJ, 2005, ANNU REV ECOL EVOL S, V36, P519, DOI 10.1146/annurev.ecolsys.36.102803.095431
   Wooten JA, 2012, J EVOLUTION BIOL, V25, P317, DOI 10.1111/j.1420-9101.2011.02426.x
   Zhou WW, 2012, MOL ECOL, V21, P960, DOI 10.1111/j.1365-294X.2011.05411.x
   Zhu GP, 2013, J INSECT SCI, V13, DOI 10.1673/031.013.10201
NR 65
TC 9
Z9 12
U1 3
U2 17
PU INST BIOLOSKA ISTRAZIVANJA SINISA STANKOVIC
PI BEOGRAD
PA 29 NOVEMBRA 142, BEOGRAD, 11060, SERBIA
SN 0354-4664
EI 1821-4339
J9 ARCH BIOL SCI
JI Arch. Biol. Sci.
PY 2017
VL 69
IS 2
BP 247
EP 259
DI 10.2298/ABS160303095A
PG 13
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA EW5OU
UT WOS:000402556600006
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Rodriguez, N
   Eakin, H
   Dewes, CD
AF Rodriguez, Natalia
   Eakin, Hallie
   Dewes, Candida de Freitas
TI Perceptions of climate trends among Mexican maize farmers
SO CLIMATE RESEARCH
LA English
DT Article
DE Mexico; Drought; Climate change; Perceptions; Adaptive capacity
ID RISK PERCEPTIONS; ADAPTATION; AGRICULTURE; VARIABILITY; STRATEGIES; RAIN
AB Farmers around the world are among the groups most vulnerable to the effects of climate variability and change. Accurate perceptions of climate variability and change can help farmers take effective measures to protect their livelihoods against threats from local environmental change; conversely, understanding how farmers perceive threats from climate change (or not) can help policy-makers anticipate the diversity of strategies and behaviors that will ultimately shape the vulnerability of agriculture in the coming decades. Nevertheless, perceptions of climatic variability and change are influenced by far more than direct experience with and observations of weather and climate; thus, farmers' perceptions may not always accurately reflect observed climatic trends. We analyzed Mexican maize farmers' perceptions of change in drought frequency as a proxy for their perceptions of climate variability and change. Through statistical analyses of survey data collected from 1092 maize-producing households in Sinaloa, Chiapas, and the state of Mexico, we identified factors associated with the perception of change in drought frequency. Results showed that indigenous identity and receipt of credits or loans were the variables that most strongly influenced, either positively or negatively, perceptions of change in drought frequency. These results suggest that climate adaptation policies will need to go beyond focusing on agronomic options to consider the social and institutional contexts of farmers' decision-making as important influences on their risk perception and adaptation strategies.
C1 [Rodriguez, Natalia; Eakin, Hallie] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
   [Dewes, Candida de Freitas] Univ Colorado Boulder, CIRES, Boulder, CO 80309 USA.
   [Dewes, Candida de Freitas] NOAA ESRL, Phys Sci Div, Boulder, CO 80305 USA.
C3 Arizona State University; Arizona State University-Tempe; University of
   Colorado System; University of Colorado Boulder; National Oceanic
   Atmospheric Admin (NOAA) - USA
RP Rodriguez, N (corresponding author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
EM narodri2@asu.edu
OI Eakin, Hallie/0000-0001-8253-1320; DEWES, CANDIDA/0000-0003-1882-3710
FU National Science Foundation [0826871]; NSF Graduate Research Fellowship;
   Division Of Behavioral and Cognitive Sci; Direct For Social, Behav &
   Economic Scie [0826871] Funding Source: National Science Foundation
FX This paper is derived from data collected under the National Science
   Foundation Grant No. 0826871 and an NSF Graduate Research Fellowship to
   N. Rodriguez. 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. We
   appreciate the vital support of K. Appendini and H. Perales in
   collecting the household survey data in Mexico State and Chiapas,
   respectively.
CR [Anonymous], 2009, UNDERSTANDING FARMER
   [Anonymous], CLIM CHANG 2014 IM A
   [Anonymous], 2012, COM PRENS AUM DEM PE
   Apata TG, 2009, P 27 C INT ASS AGR E
   Appendini K, 2014, J AGRAR CHANGE, V14, P1, DOI 10.1111/joac.12013
   Brush SB, 2007, AGR ECOSYST ENVIRON, V121, P211, DOI 10.1016/j.agee.2006.12.018
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Campero A., 2013, WORKING PAPERS
   Chaudhuri S, 1996, J DEV ECON, V51, P433, DOI 10.1016/S0304-3878(96)00407-5
   CONAPO (Consejo Nacional de Poblacion), 2017, IND DINM DEM 1990 20
   Conde C, 2006, ATMOSFERA, V19, P181
   Conservacion Internacional Mexico, 2009, PROGR ACC ANT CAMB C
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   CROCKER J, 1981, PSYCHOL BULL, V90, P272, DOI 10.1037/0033-2909.90.2.272
   Crona B, 2013, CLIMATIC CHANGE, V119, P519, DOI 10.1007/s10584-013-0708-5
   Cruz Mois?s., 2011, RA XIMHAI, V7, P95
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Dewes CF, 2013, THESIS
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   Eakin H, 2008, RURALIDAD SIN AGR PE, P151
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Eakin H, 2014, J AGRAR CHANGE, V14, P26, DOI 10.1111/joac.12005
   Etkin D, 2007, J RISK RES, V10, P623, DOI 10.1080/13669870701281462
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Flores Campaña Luis Miguel, 2012, Cuad. Geogr. Rev. Colomb. Geogr., V21, P115
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Gonzalez CA, 2010, MEXICO GRAIN FEED AN
   Groisman PY, 2005, J CLIMATE, V18, P1326, DOI 10.1175/JCLI3339.1
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Halder P, 2012, REG ENVIRON CHANGE, V12, P665, DOI 10.1007/s10113-012-0281-x
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Li CY, 2013, ENVIRON MANAGE, V52, P894, DOI 10.1007/s00267-013-0139-0
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Monterroso-Rivas A. I., 2012, PUBLICACIONES ASOCIA, V8, P881
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Perales H, 2003, ECON BOT, V57, P7, DOI 10.1663/0013-0001(2003)057[0007:LOMICM]2.0.CO;2
   Corral JAR, 2008, CROP SCI, V48, P1502, DOI 10.2135/cropsci2007.09.0518
   Schroth G, 2009, MITIG ADAPT STRAT GL, V14, P605, DOI 10.1007/s11027-009-9186-5
   SHCP (Secretaria de Hacienda y Credito Publico), 2014, PAN MAIZ
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Slovic P., 2000, RISK PERCEPTION
   Sweeney S, 2013, APPL GEOGR, V39, P78, DOI 10.1016/j.apgeog.2012.12.005
   Tobin G.A., 1997, Natural Hazards: Explanation and Integration, P132
   VAUGHAN E, 1993, HEALTH PSYCHOL, V12, P74, DOI 10.1037/0278-6133.12.1.74
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   WEINSTEIN ND, 1989, PSYCHOL BULL, V105, P31, DOI 10.1037/0033-2909.105.1.31
   Wiid N, 2012, S AFR GEOGR J, V94, P152, DOI 10.1080/03736245.2012.742783
NR 53
TC 7
Z9 11
U1 2
U2 32
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PY 2017
VL 72
IS 3
BP 183
EP 195
DI 10.3354/cr01466
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 FB4SP
UT WOS:000406132100003
OA Green Submitted
DA 2025-01-10
ER

PT C
AU Tonietto, J
AF Tonietto, J.
BE Adsule, PG
   Sawant, IS
   Shikhamany, SD
TI Geographical indicators for grapes
SO PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON GRAPE PRODUCTION AND
   PROCESSING
SE ACTA HORTICULTURAE
LA English
DT Proceedings Paper
CT International Symposium on Grape Production and Processing
CY FEB 06-11, 2006
CL Baramati, INDIA
SP Agr & Processed Food Prod Export Dev Author, Indian Farmers Fertilizer Cooperat Ltd, Maharashtra Agro Industries Dev Corp Ltd, Indian Council Agr Res, Natl Res Ctr Grapes, Federat Indian Chambers Commerce & Ind, Natl Hort Board, Minist Food Proc Industries, Natl Bank Agr & Rual Dev, Vidya pratishthan
DE climate; soil; terroir; wine typeness; Geoviticulture MCC System;
   geographical indication; just-in-time quality
AB Whereas viticulture has been historically evolved in an empiric way, we are today confronted with a viticulture characterized more and more by technicality. The knowledge being increasingly complex and closer to interpreting the reality, viticultural zoning advances to answer more and more profound questions. Geographical indicators for grapes - soil, climate, adaptation of the grape varieties are one of the major contributions of viticultural zoning, which offers a whole range of practical applications. It is growing in importance, be it on account of the technical resources which are becoming more efficient and which make possible the development of an increasingly integrated, consistent and useful zoning, be it on account of a more and more globalized market. The article points out the importance of geographical indicators for table grape producing and for winegrowing regions. It deals with viticultural production, quality and typicity of the products with regards to their organoleptic characteristics. Some aspects of the contribution of zoning are detailed: site selection, the agroviticultural and enological management, the delimitation of the viticultural territories and zoning of regions with viticultural potential, including particularities of grape production in tropical regions. Methodologies for zoning studies are presented, such as the Geoviticulture Multicriteria Climatic Classification System; moreover, the text shows the indirect contributions regarding the table grape and wine market, the sustainable territory development and the possibility of the establishment of Geographical Indications in some cases. A new concept for some tropical wines is presented: the just-in-time quality.
C1 Brazilian Agr Res Corp Embrapa, Natl Ctr Grape & Wine Res, Bento Goncalves, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA)
RP Tonietto, J (corresponding author), Brazilian Agr Res Corp Embrapa, Natl Ctr Grape & Wine Res, Bento Goncalves, Brazil.
CR Amerine M. A., 1944, HILGARDIA, V15, P493
   [Anonymous], 1998, WORLD REF BAS SOIL R
   [Anonymous], TERROIRS VITICOLES E, DOI DOI 10.1130/GSATG260A.1
   ASSELIN C, 2002, 4 S INT ZONAGE VITIV, V4, P539
   Bonnardot V., 2002, South African Journal of Enology and Viticulture, V23, P62
   Carbonneau A., 2003, Architectures de la vigne et systems de conduit. Ed
   RIOU C, 1994, OFFICE PUBLICATIONS, P322
   Seguin G., 1983, Bulletin de l'O.I.V., V56, P3
   Tonietto J, 2004, AGR FOREST METEOROL, V124, P81, DOI 10.1016/j.agrformet.2003.06.001
   TONIETTO J., 1999, C BRASILEIRO VITICUL, V9, P75
   Tonietto J, 2004, JOINT INT C VIT ZON, P193
   Tonietto J., 1999, Les macroclimats viticoles mondiaux et l'influence du mesoclimat sur la typicite de la Syrah et du Muscat de Hambourg dans le sud de la France: methodologie de caracterisation, P233
   TONIETTO J, 1998, PROGR AGR VITIC, V15, P271
   TONIETTO J, 2004, JOINT INT C VIT ZON, P129
   TONIETTO J, 2003, CURSO INT VITIVINICU, P1
   TONIETTO J, 2005, GESC M 23 27 AUG 200
   Vaudour E., 2003, TERROIRS VITICOLES D, P294
NR 17
TC 4
Z9 4
U1 0
U2 16
PU INTERNATIONAL SOCIETY HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-90-6605-268-0
J9 ACTA HORTIC
PY 2008
IS 785
BP 467
EP 476
DI 10.17660/ActaHortic.2008.785.61
PG 10
WC Agriculture, Multidisciplinary; Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Plant Sciences
GA BHX59
UT WOS:000257237400061
DA 2025-01-10
ER

PT J
AU Maurer, A
   Pillen, K
AF Maurer, Andreas
   Pillen, Klaus
TI Footprints of Selection Derived From Temporal Heterozygosity Patterns in
   a Barley Nested Association Mapping Population
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE barley; heterozygosity; temporal genomic data; adaptive evolution;
   selection; natural selection; artificial selection; unconscious
   selection
ID PLANT DEVELOPMENT; WILD RELATIVES; ADAPTATION; TRAITS; LOCUS; YIELD;
   RICE; BACK
AB Nowadays, genetic diversity more than ever represents a key driver of adaptation to climate challenges like drought, heat, and salinity. Therefore, there is a need to replenish the limited elite gene pools with favorable exotic alleles from the wild progenitors of our crops. Nested association mapping (NAM) populations represent one step toward exotic allele evaluation and enrichment of the elite gene pool. We investigated an adaptive selection strategy in the wild barley NAM population HEB-25 based on temporal genomic data by studying the fate of 214,979 SNP loci initially heterozygous in individual BC1S3 lines after five cycles of selfing and field propagation. We identified several loci exposed to adaptive selection in HEB-25. In total, 48.7% (104,725 SNPs) of initially heterozygous SNP calls in HEB-25 were fixed in BC1S3:8 generation, either toward the wild allele (19.9%) or the cultivated allele (28.8%). Most fixed SNP loci turned out to represent gene loci involved in domestication and flowering time as well as plant height, for example, btr1/btr2, thresh-1, Ppd-H1, and sdw1. Interestingly, also unknown loci were found where the exotic allele was fixed, hinting at potentially useful exotic alleles for plant breeding.
C1 [Maurer, Andreas; Pillen, Klaus] Martin Luther Univ Halle Wittenberg, Chair Plant Breeding, Inst Agr & Nutr Sci, Halle, Germany.
C3 Martin Luther University Halle Wittenberg
RP Maurer, A (corresponding author), Martin Luther Univ Halle Wittenberg, Chair Plant Breeding, Inst Agr & Nutr Sci, Halle, Germany.
EM andreas.maurer@landw.uni-halle.de
RI Pillen, Klaus/I-6511-2012
OI Pillen, Klaus/0000-0003-4646-6351
FU German Research Foundation
FX This work was supported by the German Research Foundation (DFG) via
   priority program 1530: Flowering time control from natural variation to
   crop improvement (grant Pi339/71) and via the European Research Area
   Network for Coordinating Action in Plant Sciences (ERA-CAPS, grant
   Pi339/81). Open access publishing was funded by the publication fund of
   Martin Luther University Halle-Wittenberg.
CR Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   Pham AT, 2020, EUPHYTICA, V216, DOI 10.1007/s10681-020-02686-8
   Pham AT, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1723-0
   Bayer MM, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01792
   BLIJENBURG JG, 1975, EUPHYTICA, V24, P305, DOI 10.1007/BF00028195
   BOYD WJR, 1971, CAN J PLANT SCI, V51, P93, DOI 10.4141/cjps71-021
   Büttner B, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-07258-7
   Chen TW, 2019, J EXP BOT, V70, P2523, DOI 10.1093/jxb/ery309
   Comadran J, 2012, NAT GENET, V44, P1388, DOI 10.1038/ng.2447
   Dempewolf H, 2017, CROP SCI, V57, P1070, DOI 10.2135/cropsci2016.10.0885
   Döring TF, 2011, SUSTAINABILITY-BASEL, V3, P1944, DOI 10.3390/su3101944
   Dreissig S, 2020, NEW PHYTOL, V228, P1852, DOI 10.1111/nph.16810
   Enjalbert J, 1999, J EXP BOT, V50, P283, DOI 10.1093/jexbot/50.332.283
   Fernández-Calleja M, 2021, THEOR APPL GENET, V134, P1867, DOI 10.1007/s00122-021-03824-z
   Guo TT, 2020, GENOME RES, V30, P673, DOI [10.1101/gr.255703.119, 10.1101/gr.255703.119.]
   Herzig P, 2019, PLANT SCI, V285, P151, DOI 10.1016/j.plantsci.2019.05.008
   Herzig P, 2018, J EXP BOT, V69, P1517, DOI 10.1093/jxb/ery002
   Komatsuda T, 2007, P NATL ACAD SCI USA, V104, P1424, DOI 10.1073/pnas.0608580104
   Li XR, 2021, MOL PLANT, V14, P874, DOI 10.1016/j.molp.2021.03.010
   Maurer A., 2019, 50K ILLUMINA INFINIU
   Maurer A, 2016, J EXP BOT, V67, P2507, DOI 10.1093/jxb/erw070
   Maurer A, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1459-7
   McCouch S, 2013, NATURE, V499, P23, DOI 10.1038/499023a
   Mehnaz M, 2021, THEOR APPL GENET, V134, P2167, DOI 10.1007/s00122-021-03814-1
   Merchuk-Ovnat L, 2018, J EXP BOT, V69, P1765, DOI 10.1093/jxb/ery016
   Murphy KM, 2008, FIELD CROP RES, V105, P107, DOI 10.1016/j.fcr.2007.08.004
   Phillips SL, 2005, J AGR SCI-CAMBRIDGE, V143, P245, DOI 10.1017/S0021859605005009
   Pourkheirandish M, 2007, ANN BOT-LONDON, V100, P999, DOI 10.1093/aob/mcm139
   Pourkheirandish M, 2015, CELL, V162, P527, DOI 10.1016/j.cell.2015.07.002
   Raggi L, 2016, J AGR SCI-CAMBRIDGE, V154, P23, DOI 10.1017/S0021859614001269
   Saade S, 2016, SCI REP-UK, V6, DOI 10.1038/srep32586
   Schmalenbach I, 2011, G3-GENES GENOM GENET, V1, P187, DOI 10.1534/g3.111.000182
   Sharma R, 2018, J EXP BOT, V69, P3811, DOI 10.1093/jxb/ery178
   Steele KA, 2004, THEOR APPL GENET, V109, P1247, DOI 10.1007/s00122-004-1732-7
   SUNESON COIT A., 1956, AGRON JOUR, V48, P188
   Tanksley SD, 1997, SCIENCE, V277, P1063, DOI 10.1126/science.277.5329.1063
   Turner A, 2005, SCIENCE, V310, P1031, DOI 10.1126/science.1117619
   Vatter T, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191666
   Vatter T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186803
   Wiegmann M, 2019, PLANT SCI, V283, P83, DOI 10.1016/j.plantsci.2018.12.030
   Wiegmann M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42673-1
   Zamir D, 2008, NAT GENET, V40, P269, DOI 10.1038/ng0308-269
   Zhang HY, 2017, EVOL APPL, V10, P5, DOI 10.1111/eva.12434
   Zhao SL, 2018, BRIEF BIOINFORM, V19, P765, DOI 10.1093/bib/bbx012
NR 44
TC 0
Z9 0
U1 0
U2 4
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 14
PY 2021
VL 12
AR 764537
DI 10.3389/fpls.2021.764537
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA WS0RI
UT WOS:000714897000001
PM 34721490
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Stelbrink, P
   Pinkert, S
   Brunzel, S
   Kerr, J
   Wheat, CW
   Brandl, R
   Zeuss, D
AF Stelbrink, Pablo
   Pinkert, Stefan
   Brunzel, Stefan
   Kerr, Jeremy
   Wheat, Christopher W.
   Brandl, Roland
   Zeuss, Dirk
TI Colour lightness of butterfly assemblages across North America and
   Europe
SO SCIENTIFIC REPORTS
LA English
DT Article
ID LADYBIRD ADALIA-BIPUNCTATA; PHOEBUS F LEPIDOPTERA; WING-MELANIN PATTERN;
   ADAPTIVE SIGNIFICANCE; SEXUAL SELECTION; THERMOREGULATORY BEHAVIOR;
   PIGMENT POLYMORPHISMS; SEASONAL POLYPHENISM; COLIAS BUTTERFLIES; THERMAL
   MELANISM
AB Melanin-based dark colouration is beneficial for insects as it increases the absorption of solar energy and protects against pathogens. Thus, it is expected that insect colouration is darker in colder regions and in regions with high humidity, where it is assumed that pathogen pressure is highest. These relationships between colour lightness, insect distribution, and climate between taxa and subtaxa across continents have never been tested and compared. Here we analysed the colour lightness of nearly all butterfly species of North America and Europe using the average colour lightness of species occurring within 50 km x 50 km grid cells across both continents as the dependent variable and average insolation, temperature and humidity within grid cells as explanatory variables. We compared the direction, strength and shape of these relationships between butterfly families and continents. On both continents, butterfly assemblages in colder and more humid regions were generally darker coloured than assemblages in warmer and less humid regions. Although these relationships differed in detail between families, overall trends within families on both continents were similar. Our results add further support for the importance of insect colour lightness as a mechanistic adaptation to climate that influences biogeographical patterns of species distributions.
C1 [Stelbrink, Pablo; Pinkert, Stefan; Brandl, Roland; Zeuss, Dirk] Philipps Univ Marburg, Dept Ecol Anim Ecol, Fac Biol, Karl von Frisch Str 8, D-35043 Marburg, Germany.
   [Pinkert, Stefan; Brunzel, Stefan] Univ Appl Sci Erfurt, Fac Landscape Architecture Hort & Forestry, Dept Biodivers & Species Conservat, Leipziger Str 77, D-99085 Erfurt, Germany.
   [Kerr, Jeremy] Univ Ottawa, Dept Biol, Ottawa, ON, Canada.
   [Wheat, Christopher W.; Zeuss, Dirk] Stockholm Univ, Dept Zool, S-10691 Stockholm, Sweden.
C3 Philipps University Marburg; Fachhochschule Erfurt; University of
   Ottawa; Stockholm University
RP Zeuss, D (corresponding author), Philipps Univ Marburg, Dept Ecol Anim Ecol, Fac Biol, Karl von Frisch Str 8, D-35043 Marburg, Germany.; Zeuss, D (corresponding author), Stockholm Univ, Dept Zool, S-10691 Stockholm, Sweden.
EM dirk.zeuss@biologie.uni-marburg.de
RI Zeuss, Dirk/AAI-3084-2021; Pinkert, Stefan/J-3602-2019; Wheat,
   Christopher/E-7137-2010
OI Zeuss, Dirk/0000-0001-6457-2866; Kerr, Jeremy/0000-0002-3972-7560;
   Pinkert, Stefan/0000-0002-8348-2337
CR [Anonymous], 2003, KAUFMAN FIELD GUIDE, DOI DOI 10.1111/mec.12069
   [Anonymous], 1998, Melanism: Evolution in Action
   [Anonymous], 1870, CONTRIBUTIONS THEORY
   [Anonymous], R package version 2.6-7
   [Anonymous], 1980, Biophysical Ecology
   Armitage SAO, 2005, HEREDITY, V94, P650, DOI 10.1038/sj.hdy.6800675
   Bishop TR, 2016, GLOBAL ECOL BIOGEOGR, V25, P1489, DOI 10.1111/geb.12516
   Bivand R., 2018, RGDAL BINDINGS GEOSP
   BRAKEFIELD PM, 1985, HEREDITY, V54, P9, DOI 10.1038/hdy.1985.3
   BRAKEFIELD PM, 1984, J ANIM ECOL, V53, P775, DOI 10.2307/4659
   BURTT EH, 1981, BIOSCIENCE, V31, P723, DOI 10.2307/1308778
   Clusella Trullas S, 2007, J THERM BIOL, V32, P235, DOI 10.1016/j.jtherbio.2007.01.013
   Cordero RJB, 2018, CURR BIOL, V28, P2657, DOI 10.1016/j.cub.2018.06.034
   Cott H.B., 1940, AM NAT
   Cuthill IC, 2017, SCIENCE, V357, DOI 10.1126/science.aan0221
   Davis AK, 2005, J THERM BIOL, V30, P410, DOI 10.1016/j.jtherbio.2005.04.003
   DeJong PW, 1996, J EXP BIOL, V199, P2655
   Dormann CF, 2007, ECOGRAPHY, V30, P609, DOI 10.1111/j.2007.0906-7590.05171.x
   Dubovskiy IM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0584
   Elderd BD, 2014, J ANIM ECOL, V83, P838, DOI 10.1111/1365-2656.12180
   Ellers J, 2004, BIOL J LINN SOC, V82, P79, DOI 10.1111/j.1095-8312.2004.00319.x
   Forsman A, 2002, EVOLUTION, V56, P349, DOI 10.1111/j.0014-3820.2002.tb01345.x
   Gibert P, 1998, J GENET, V77, P13, DOI 10.1007/BF02933036
   GUPPY CS, 1986, CAN J ZOOL, V64, P956, DOI 10.1139/z86-145
   GUPPY CS, 1986, OECOLOGIA, V70, P205, DOI 10.1007/BF00379241
   HAWKINS BA, 1995, OECOLOGIA, V102, P31, DOI 10.1007/BF00333307
   Heidrich L, 2018, GLOBAL ECOL BIOGEOGR, V27, P407, DOI 10.1111/geb.12703
   Heikkilä M, 2012, P ROY SOC B-BIOL SCI, V279, P1093, DOI 10.1098/rspb.2011.1430
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Karl I, 2009, BIOL J LINN SOC, V98, P301, DOI 10.1111/j.1095-8312.2009.01284.x
   Kearney MR, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.6
   KINGSOLVER JG, 1995, EVOLUTION, V49, P942, DOI 10.1111/j.1558-5646.1995.tb02329.x
   KINGSOLVER JG, 1987, EVOLUTION, V41, P472, DOI 10.1111/j.1558-5646.1987.tb05819.x
   KINGSOLVER JG, 1991, AM NAT, V137, P816, DOI 10.1086/285195
   KIRKPATRICK M, 1987, ANNU REV ECOL SYST, V18, P43, DOI 10.1146/annurev.es.18.110187.000355
   KODRICBROWN A, 1985, BEHAV ECOL SOCIOBIOL, V17, P199, DOI 10.1007/BF00300137
   Kudrna Otakar, 2002, Oedippus, V20, P1
   Lomolino M.V., 2010, Biogeography, V4th edition
   Mappes J, 2005, TRENDS ECOL EVOL, V20, P598, DOI 10.1016/j.tree.2005.07.011
   Mendiburu F., 2017, AGRICOLAE STAT PROCE
   Mikkola K, 2010, BIOL J LINN SOC, V99, P831, DOI 10.1111/j.1095-8312.2010.01398.x
   Oliver JC, 2011, P ROY SOC B-BIOL SCI, V278, P1981, DOI 10.1098/rspb.2010.2220
   Pau G, 2010, BIOINFORMATICS, V26, P979, DOI 10.1093/bioinformatics/btq046
   Pinkert S, 2018, CURR BIOL, V28, pR887, DOI 10.1016/j.cub.2018.07.026
   Pinkert S, 2018, ECOGRAPHY, V41, P795, DOI 10.1111/ecog.03137
   Pinkert S, 2017, ECOGRAPHY, V40, P1110, DOI 10.1111/ecog.02578
   POULTON EB, 1890, COLOURS ANIMALS THEI
   Reilly JR, 2014, ENVIRON ENTOMOL, V43, P632, DOI 10.1603/EN13194
   ROLAND J, 1982, OECOLOGIA, V53, P214, DOI 10.1007/BF00545666
   Rowland HM, 2009, PHILOS T R SOC B, V364, P519, DOI 10.1098/rstb.2008.0261
   Schweiger AH, 2016, ECOGRAPHY, V39, P846, DOI 10.1111/ecog.01570
   Scott J.A., 1997, The butterflies of north America: a natural history and field guide
   Stevens M, 2009, PHILOS T R SOC B, V364, P423, DOI 10.1098/rstb.2008.0217
   Stork NE, 2018, ANNU REV ENTOMOL, V63, P31, DOI 10.1146/annurev-ento-020117-043348
   Thayer A. H., 1896, Auk, Vxiii, P124
   Tolman T., 2009, Collins butterfly guide: The most complete field guide to the butterflies of Britain and Europe
   True JR, 2003, TRENDS ECOL EVOL, V18, P640, DOI 10.1016/j.tree.2003.09.006
   WASSERTHAL LT, 1975, J INSECT PHYSIOL, V21, P1921, DOI 10.1016/0022-1910(75)90224-3
   WATT WB, 1968, EVOLUTION, V22, P437, DOI 10.1111/j.1558-5646.1968.tb03985.x
   WATT WB, 1986, SCIENCE, V233, P1187, DOI 10.1126/science.3738528
   WATT WB, 1969, P NATL ACAD SCI USA, V63, P767, DOI 10.1073/pnas.63.3.767
   WIERNASZ DC, 1989, EVOLUTION, V43, P1672, DOI [10.2307/2409383, 10.1111/j.1558-5646.1989.tb02617.x]
   Wilson K, 2001, ECOL LETT, V4, P637, DOI 10.1046/j.1461-0248.2001.00279.x
   Xing S, 2016, ECOL EVOL, V6, P8062, DOI 10.1002/ece3.2464
   Yin HC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128859
   Zeuss D, 2017, GLOBAL ECOL BIOGEOGR, V26, P154, DOI 10.1111/geb.12525
   Zeuss D, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4874
NR 69
TC 34
Z9 39
U1 1
U2 16
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD FEB 11
PY 2019
VL 9
AR 1760
DI 10.1038/s41598-018-36761-x
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HK9FQ
UT WOS:000458295900040
PM 30741964
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Mathur, V
   Schmidt, PS
AF Mathur, Vinayak
   Schmidt, Paul S.
TI Adaptive patterns of phenotypic plasticity in laboratory and field
   environments in <i>Drosophila melanogaster</i>
SO EVOLUTION
LA English
DT Article
DE Acclimation; adaptation; drosophila; plasticity
ID GENOME-WIDE PATTERNS; STRESS RESISTANCE; STARVATION RESISTANCE; COLD
   TOLERANCE; GEOGRAPHICAL VARIATION; ACCLIMATION RESPONSES;
   NATURAL-POPULATIONS; METABOLIC-RATE; TEMPERATURE; PHOTOPERIOD
AB Identifying mechanisms of adaptation to variable environments is essential in developing a comprehensive understanding of evolutionary dynamics in natural populations. Phenotypic plasticity allows for phenotypic change in response to changes in the environment, and as such may play a major role in adaptation to environmental heterogeneity. Here, the plasticity of stress response in Drosophila melanogaster originating from two distinct geographic regions and ecological habitats was examined. Adults were given a short-term, 5-day exposure to combinations of temperature and photoperiod to elicit a plastic response for three fundamental aspects of stress tolerance that vary adaptively with geography. This was replicated both in the laboratory and in outdoor enclosures in the field. In the laboratory, geographic origin was the primary determinant of the stress response. Temperature and the interaction between temperature and photoperiod also significantly affected stress resistance. In the outdoor enclosures, plasticity was distinct among traits and between geographic regions. These results demonstrate that short-term exposure of adults to ecologically relevant environmental cues results in predictable effects on multiple aspects of fitness. These patterns of plasticity vary among traits and are highly distinct between the two examined geographic regions, consistent with patterns of local adaptation to climate and associated environmental parameters.
C1 [Mathur, Vinayak; Schmidt, Paul S.] Univ Penn, Dept Biol, 433 S Univ Ave, Philadelphia, PA 19104 USA.
   [Mathur, Vinayak] Georgetown Univ, Dept Biol, Washington, DC 20057 USA.
C3 University of Pennsylvania; Georgetown University
RP Schmidt, PS (corresponding author), Univ Penn, Dept Biol, 433 S Univ Ave, Philadelphia, PA 19104 USA.
EM schmidtp@sas.upenn.edu
OI Schmidt, Paul/0000-0002-8076-6705
FU NIH [R01GM100366]; NSF [DEB0921307]
FX This work was supported by NIH grant R01GM100366 and NSF grant
   DEB0921307. The authors declare no conflict of interest.
CR [Anonymous], PLOS GENET
   Ballard JWO, 2008, J INSECT PHYSIOL, V54, P1371, DOI 10.1016/j.jinsphys.2008.07.009
   Bauerfeind SS, 2014, PHYSIOL ENTOMOL, V39, P237, DOI 10.1111/phen.12068
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bock I.R., 1981, Genetics and Biology of Drosophila, V3a, P291
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   Chakir M, 2002, GENETICA, V114, P195, DOI 10.1023/A:1015154329762
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Chevin LM, 2010, EVOLUTION, V64, P1143, DOI 10.1111/j.1558-5646.2009.00875.x
   Chippindale AK, 1996, EVOLUTION, V50, P753, DOI [10.2307/2410848, 10.1111/j.1558-5646.1996.tb03885.x]
   Chown SL, 2007, ADV INSECT PHYSIOL, V33, P50
   Cossins AR, 2002, BIOCHEM SOC T, V30, P1082, DOI 10.1042/bst0301082
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   David RJ, 1998, J THERM BIOL, V23, P291, DOI 10.1016/S0306-4565(98)00020-5
   Djawdan M, 1998, PHYSIOL ZOOL, V71, P584, DOI 10.1086/515963
   Emerson KJ, 2009, J COMP PHYSIOL A, V195, P825, DOI 10.1007/s00359-009-0460-5
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Feder ME, 1999, ANNU REV PHYSIOL, V61, P243, DOI 10.1146/annurev.physiol.61.1.243
   Fischer K, 2003, P ROY SOC B-BIOL SCI, V270, P2051, DOI 10.1098/rspb.2003.2470
   Fischer K, 2012, EVOL ECOL, V26, P1067, DOI 10.1007/s10682-011-9547-x
   Frydenberg J, 2003, MOL ECOL, V12, P2025, DOI 10.1046/j.1365-294X.2002.01882.x
   Gerken AR, 2015, P NATL ACAD SCI USA, V112, P4399, DOI 10.1073/pnas.1503456112
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   GIESEL JT, 1989, FLA ENTOMOL, V72, P123, DOI 10.2307/3494977
   GIESEL JT, 1989, FLA ENTOMOL, V72, P499, DOI 10.2307/3495189
   Gockel J, 2001, GENETICS, V158, P319
   Gomez-Mestre I, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1869
   Goto SG, 2001, GENE, V270, P259, DOI 10.1016/S0378-1119(01)00465-6
   Guerra D, 1997, GENET SEL EVOL, V29, P497, DOI 10.1051/gse:19970406
   HALDANE JBS, 1962, J GENET, V58, P237
   Harshman LG, 1999, J EVOLUTION BIOL, V12, P370, DOI 10.1046/j.1420-9101.1999.00024.x
   HAZEL JR, 1995, ANNU REV PHYSIOL, V57, P19, DOI 10.1146/annurev.ph.57.030195.000315
   Hoffmann AA, 2005, J EVOLUTION BIOL, V18, P804, DOI 10.1111/j.1420-9101.2004.00871.x
   Hoffmann AA, 2005, FUNCT ECOL, V19, P222, DOI 10.1111/j.1365-2435.2005.00959.x
   HOFFMANN AA, 1993, AM NAT, V142, pS93, DOI 10.1086/285525
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   HOFFMANN AA, 1990, J INSECT PHYSIOL, V36, P885, DOI 10.1016/0022-1910(90)90176-G
   Hoffmann Ary A., 1991, Evolutionary Genetics and Environmental Stress
   Hori Y, 1998, ENVIRON ENTOMOL, V27, P1297, DOI 10.1093/ee/27.6.1297
   James AC, 1997, GENETICS, V146, P881
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Kelty JD, 2001, J EXP BIOL, V204, P1659
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Kostál V, 2006, J INSECT PHYSIOL, V52, P113, DOI 10.1016/j.jinsphys.2005.09.008
   Kristensen TN, 2003, J GENET, V82, P89, DOI 10.1007/BF02715811
   Kristensen TN, 2008, P NATL ACAD SCI USA, V105, P216, DOI 10.1073/pnas.0708074105
   LANCIANI CA, 1990, FUNCT ECOL, V4, P41, DOI 10.2307/2389650
   LANCIANI CA, 1992, J THERM BIOL, V17, P147, DOI 10.1016/0306-4565(92)90025-B
   LEVENE H, 1953, AM NAT, V87, P331, DOI 10.1086/281792
   LEVINS R, 1969, AM NAT, V103, P483, DOI 10.1086/282616
   LEVINS RICHARD, 1968
   Nyamukondiwa C, 2011, J EVOLUTION BIOL, V24, P1927, DOI 10.1111/j.1420-9101.2011.02324.x
   Parkash R, 2013, J EXP BIOL, V216, P3301, DOI 10.1242/jeb.087650
   Pegoraro M, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004603
   Pool JE, 2007, MOL ECOL, V16, P2844, DOI 10.1111/j.1365-294X.2007.03324.x
   SCHEINER SM, 1993, ANNU REV ECOL SYST, V24, P35, DOI 10.1146/annurev.es.24.110193.000343
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2005, EVOLUTION, V59, P2616, DOI 10.1111/j.0014-3820.2005.tb00974.x
   Sgrò CM, 2010, J EVOLUTION BIOL, V23, P2484, DOI 10.1111/j.1420-9101.2010.02110.x
   Sinclair BJ, 2007, INSECT MOL BIOL, V16, P435, DOI 10.1111/j.1365-2583.2007.00739.x
   Sisodia S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046131
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Vanin S, 2012, NATURE, V484, P371, DOI 10.1038/nature10991
   Vesala L, 2012, J INSECT PHYSIOL, V58, P704, DOI 10.1016/j.jinsphys.2012.02.004
   VIA S, 1985, EVOLUTION, V39, P505, DOI [10.2307/2408649, 10.1111/j.1558-5646.1985.tb00391.x]
   Wilson RS, 2002, TRENDS ECOL EVOL, V17, P66, DOI 10.1016/S0169-5347(01)02384-9
NR 66
TC 18
Z9 20
U1 1
U2 28
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 2017
VL 71
IS 2
BP 465
EP 474
DI 10.1111/evo.13144
PG 10
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA EM0CA
UT WOS:000394985200022
PM 27925178
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Ganguli, P
   Merz, B
AF Ganguli, Poulomi
   Merz, Bruno
TI Observational Evidence Reveals Compound Humid Heat Stress-Extreme
   Rainfall Hotspots in India
SO EARTHS FUTURE
LA English
DT Article
DE compound hazard; heat stress; extreme precipitation; probability;
   climate adaptation
ID ATMOSPHERIC MOISTURE; TAIL-DEPENDENCE; CLIMATE; PRECIPITATION;
   HEATWAVES; COEFFICIENT; IRRIGATION; INCREASES; DROUGHTS; EVENTS
AB Sequential climate hazards, such as "warm and wet" compound extremes, have direct societal implications for highly urbanized regions and agricultural production. While typically extreme temperatures and rainfall are inversely correlated during the summer, extreme humid heatwaves often lead to atmospheric instability and moisture convection, increasing the likelihood of extreme precipitation (EP). Little is known about how heatwave characteristics, such as peak intensity and duration, influence EP at a regional scale. Using high-resolution, sub-daily station-based observational records over five decades (1971-2021) across India, we find a robust increase in the frequency of compound humid heat-peak precipitation events in all seasons. Our sensitivity analysis of the impact of humid heatwave characteristics on the subsequent sub-daily rainfall extremes reveals that, with an increase in peak heatwave intensity for a given heatwave duration, >50% of sites show an increase in the magnitude of rainfall; conversely, with an increase in heatwave duration for a given peak heatwave intensity, around 67% sites show a decline in sub-daily rainfall extremes. An asymmetrical shift toward above-average precipitation extremes in response to humid heat stress is mainly clustered around low-elevation, densely populated coastal areas and the irrigation-intensive Indo-Gangetic Plains.
C1 [Ganguli, Poulomi] Indian Inst Technol Kharagpur, Agr & Food Engn Dept, Kharagpur, India.
   [Merz, Bruno] GFZ German Res Ctr Geosci Potsdam, Potsdam, Germany.
   [Merz, Bruno] Univ Potsdam, Inst Environm Sci & Geog, Potsdam, Germany.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur; Helmholtz Association; Helmholtz-Center
   Potsdam GFZ German Research Center for Geosciences; University of
   Potsdam
RP Ganguli, P (corresponding author), Indian Inst Technol Kharagpur, Agr & Food Engn Dept, Kharagpur, India.
EM pganguli@agfe.iitkgp.ac.in
OI Ganguli, Poulomi/0000-0002-2372-1121; Merz, Bruno/0000-0002-5992-1440
FU Indo-German Science and Technology Centre [IGSTC/WISER
   2022/PG/47/2022-23/514]; Women Involvement in Science and Engineering
   Research (WISER) project of Indo-German Science and Technology Centre
   (IGSTC)
FX The work received funding from the Women Involvement in Science and
   Engineering Research (WISER) project of Indo-German Science and
   Technology Centre (IGSTC) with funding ID: IGSTC/WISER
   2022/PG/47/2022-23/514. P.G. acknowledge Pritam Goraksh Daundkar's (a
   Master's student supervised by P.G. at IIT-KGP) contribution to
   meteorological data collection from the IMD.
CR Abbaszadeh P, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.105201
   Ali H, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL090317
   [Anonymous], 2022, Hindustan Times
   [Anonymous], 2013, Extremes in a changing climate
   [Anonymous], 2013, Extremes in a changing climate: Detection, analysis and uncertainty, DOI [10.1007/978-94-007-4479-0, DOI 10.1007/978-94-007-4479-0_2, 10.1007/978-94-007-4479-0{_}2, DOI 10.1007/978-94-007-4479-0{_}2]
   [Anonymous], 2022, GIEWS Country Brief Mali
   Bansal A, 2023, LANCET PLANET HEALTH, V7, pE718, DOI 10.1016/S2542-5196(23)00134-1
   Barton Y, 2016, MON WEATHER REV, V144, P347, DOI 10.1175/MWR-D-15-0205.1
   Basistha A, 2009, INT J CLIMATOL, V29, P555, DOI 10.1002/joc.1706
   Beillard M. J., 2022, Extreme temperatures Scorch Indian wheat production (No. IN20220045)
   Bose M., 2023, deccan herald
   Buermann W, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024027
   Bui A, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab2a26
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Burnham KP, 2004, SOCIOL METHOD RES, V33, P261, DOI 10.1177/0049124104268644
   Ceccherini G, 2017, NAT HAZARD EARTH SYS, V17, P115, DOI 10.5194/nhess-17-115-2017
   Chauhan C., 2023, hindustan times
   Cheng LY, 2014, SCI REP-UK, V4, DOI 10.1038/srep07093
   CWRD (Chhattisgarh Water Resources Department), 2023, Irrigation potential of Chattisgarh
   Davis RE, 2016, ENVIRON RES, V144, P106, DOI 10.1016/j.envres.2015.10.014
   De Leo F, 2021, COAST ENG, V167, DOI 10.1016/j.coastaleng.2021.103896
   Devanand A, 2019, GEOPHYS RES LETT, V46, P9126, DOI 10.1029/2019GL083875
   Dirmeyer PA, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.949250
   Domeisen DIV, 2023, NAT REV EARTH ENV, V4, P36, DOI 10.1038/s43017-022-00371-z
   Douglas EM, 2009, GLOBAL PLANET CHANGE, V67, P117, DOI 10.1016/j.gloplacha.2008.12.007
   Dowdy AJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40359
   Dubey AK, 2021, WEATHER CLIM EXTREME, V32, DOI 10.1016/j.wace.2021.100317
   EMDAT E.D., 2023, EMDAT: The international disaster database
   Faghih M, 2023, J HYDROMETEOROL, V24, P1331, DOI 10.1175/JHM-D-22-0224.1
   Fan YF, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09917-4
   Feng KR, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32018-4
   Fischer EM, 2016, NAT CLIM CHANGE, V6, P986, DOI [10.1038/NCLIMATE3110, 10.1038/nclimate3110]
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Frahm G, 2005, INSUR MATH ECON, V37, P80, DOI 10.1016/j.insmatheco.2005.05.008
   Ganguli P, 2023, CLIM DYNAM, V60, P1061, DOI 10.1007/s00382-022-06324-y
   GENEST C, 1995, BIOMETRIKA, V82, P543, DOI 10.1093/biomet/82.3.543
   Genest C, 2009, INSUR MATH ECON, V44, P199, DOI 10.1016/j.insmatheco.2007.10.005
   Ghausi SA, 2022, HYDROL EARTH SYST SC, V26, P4431, DOI 10.5194/hess-26-4431-2022
   Ghosh S, 2012, NAT CLIM CHANGE, V2, P86, DOI 10.1038/NCLIMATE1327
   Gimeno-Sotelo L, 2023, WEATHER CLIM EXTREME, V39, DOI 10.1016/j.wace.2022.100536
   Gori A, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001660
   GSDMA (Gujarat State Disaster Management Authority), 2023, Heat wave action plan: 202223. Vadodara
   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]
   Guntu RK, 2023, ATMOS RES, V290, DOI 10.1016/j.atmosres.2023.106789
   Guo Q, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac64b6
   Ha KJ, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00272-4
   Hassler B, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12111462
   Held IM, 2006, J CLIMATE, V19, P5686, DOI 10.1175/JCLI3990.1
   Hino M, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2003374118
   Ilampooranan I, 2019, WATER RESOUR RES, V55, P3941, DOI [10.1029/2018WR023815, 10.1029/2018wr023815]
   Im ES, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603322
   IMD SC Observatory and SUTD, 2022, Smart City index 2021, P1
   Ivanovich C., 2021, AGU fall meeting 2021
   Ivanovich C, 2022, J CLIMATE, V35, P4309, DOI 10.1175/JCLI-D-21-0488.1
   Jha Roshan, 2022, Nat Commun, V13, P4275, DOI 10.1038/s41467-022-31962-5
   Keellings D, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087097
   Kemter M, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087464
   Kotz M, 2022, NATURE, V601, P223, DOI 10.1038/s41586-021-04283-8
   Krishnan R, 2009, J ATMOS SCI, V66, P553, DOI 10.1175/2008JAS2723.1
   Kruczkiewicz A, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2106795118
   Leach NJ, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2112087118
   Lee E, 2009, INT J CLIMATOL, V29, P573, DOI 10.1002/joc.1721
   Lélé MI, 2015, J CLIMATE, V28, P4414, DOI 10.1175/JCLI-D-14-00746.1
   Lenton TM, 2023, NAT SUSTAIN, V6, P1237, DOI 10.1038/s41893-023-01132-6
   Li CX, 2023, J CLIMATE, V36, P693, DOI 10.1175/JCLI-D-22-0223.1
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Li YF, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088758
   Liu J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42494-2
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Loughran TF, 2017, INT J CLIMATOL, V37, P3963, DOI 10.1002/joc.4971
   Lutz AF, 2014, NAT CLIM CHANGE, V4, P587, DOI [10.1038/nclimate2237, 10.1038/NCLIMATE2237]
   Lyddon C, 2023, ESTUAR COAST, V46, P30, DOI 10.1007/s12237-022-01115-4
   Maharana P, 2014, J EARTH SYST SCI, V123, P1147, DOI 10.1007/s12040-014-0447-7
   Marelle L, 2018, GEOPHYS RES LETT, V45, P11352, DOI 10.1029/2018GL079567
   Matanó A, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002747
   Matthews T, 2019, NAT CLIM CHANGE, V9, P602, DOI 10.1038/s41558-019-0525-6
   Mazdiyasni O, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50643-w
   Miralles DG, 2019, ANN NY ACAD SCI, V1436, P19, DOI 10.1111/nyas.13912
   Mishra V, 2020, NAT GEOSCI, V13, P722, DOI 10.1038/s41561-020-00650-8
   Moccia B, 2021, J HYDROL-REG STUD, V33, DOI 10.1016/j.ejrh.2020.100771
   Mohan Vishwa, 2023, Times of India
   Mohanty S, 2023, J APPL METEOROL CLIM, V62, P191, DOI 10.1175/JAMC-D-21-0223.1
   MSDB (Maharashtra State Data Bank), 2013, Report no. DSA 5/17
   Mukherjee S, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-022-35748-7
   Nageswararao MM, 2020, PURE APPL GEOPHYS, V177, P1143, DOI 10.1007/s00024-019-02304-2
   Nelsen R.B., 2013, An introduction to copulas, V139
   Nikumbh AC, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088403
   Ning GC, 2022, INT J CLIMATOL, V42, P5785, DOI 10.1002/joc.7561
   Nogueira M, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124632
   ORGCC (Office of the Registrar General Census Commissioner India), 2022, IndiaA04 (I): Towns and urban agglomerations classified by population size class in 2011 with variation between 1901 and 2011Class I (population of 100,000 and above)
   Ortiz LE, 2018, J APPL METEOROL CLIM, V57, P837, DOI 10.1175/JAMC-D-17-0125.1
   Paul S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22322-9
   Perkins SE, 2015, ATMOS RES, V164, P242, DOI 10.1016/j.atmosres.2015.05.014
   Poulin A, 2007, J HYDROL ENG, V12, P394, DOI 10.1061/(ASCE)1084-0699(2007)12:4(394)
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Qin JH, 2023, GEOSCI LETT, V10, DOI 10.1186/s40562-022-00257-4
   Raghavendra A, 2019, CLIM DYNAM, V52, P495, DOI 10.1007/s00382-018-4148-9
   Rajeev A, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002992
   Rajeev A, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.105377
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Ratnam JV, 2016, SCI REP-UK, V6, DOI 10.1038/srep24395
   Raymond C, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaw1838
   Reddy MJ, 2013, STOCH ENV RES RISK A, V27, P1975, DOI 10.1007/s00477-013-0732-z
   Reddy S. J., 1976, Indian Journal of Meteorology Hydrology & Geophysics, V27, P167
   Renard B., 2013, Extremes in a Changing Climate, P39
   Robinson A, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00202-w
   Roderick TP, 2019, GEOPHYS RES LETT, V46, P1375, DOI 10.1029/2018GL080833
   Roethlisberger M, 2023, NAT GEOSCI, V16, P210, DOI 10.1038/s41561-023-01126-1
   Roxy MK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00744-9
   Salvadori G, 2014, COAST ENG, V88, P1, DOI 10.1016/j.coastaleng.2014.01.011
   Satyanarayana GC, 2020, ATMOS RES, V245, DOI 10.1016/j.atmosres.2020.105078
   Sauter C, 2023, WEATHER CLIM EXTREME, V40, DOI 10.1016/j.wace.2023.100563
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sen Roy S, 2011, THEOR APPL CLIMATOL, V104, P193, DOI 10.1007/s00704-010-0338-z
   Serinaldi F, 2015, STOCH ENV RES RISK A, V29, P1211, DOI 10.1007/s00477-014-0946-8
   Sharma A., 2012, A comparative study of feature selection and machine learning techniques for sentiment analysis, P1, DOI DOI 10.1155/2012/536204
   Sharma S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-15896-3
   Simpkins G, 2023, NAT REV EARTH ENV, V4, P3, DOI 10.1038/s43017-022-00386-6
   Singh C, 2018, J INDIAN GEOPHYS UNI, V22, P349
   Stone B, 2021, ENVIRON SCI TECHNOL, V55, P6957, DOI 10.1021/acs.est.1c00024
   Sun XM, 2022, J CLIMATE, V35, P6119, DOI 10.1175/JCLI-D-22-0142.1
   Trenberth KE, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022760
   Trenberth KE, 1999, J CLIMATE, V12, P1368, DOI 10.1175/1520-0442(1999)012<1368:AMRROA>2.0.CO;2
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   van Zomeren J, 2007, ATMOS RES, V83, P435, DOI [10.1016/j.atmosres.2005.08.015, 10.1016/j.atmosres.2005.08.035]
   Vo TT, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2216765120
   Wang PY, 2023, J CLIMATE, V36, P2243, DOI 10.1175/JCLI-D-22-0279.1
   Wang SSY, 2019, ATMOS SCI LETT, V20, DOI 10.1002/asl.933
   Wehner M, 2016, B AM METEOROL SOC, V97, pS81, DOI 10.1175/BAMS-D-16-0145.1
   Wehrli K, 2022, EARTH SYST DYNAM, V13, P1167, DOI 10.5194/esd-13-1167-2022
   Willett KM, 2007, NATURE, V449, P710, DOI 10.1038/nature06207
   WMO, 2023, Heat and health
   Yang J, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acc475
   Yang XY, 2021, J CLIMATE, V34, P7783, DOI 10.1175/JCLI-D-20-0939.1
   Ye HC, 2019, GEOPHYS RES LETT, V46, P11455, DOI 10.1029/2019GL084748
   Ye HC, 2016, J CLIMATE, V29, P623, DOI 10.1175/JCLI-D-14-00771.1
   Yin JB, 2023, NAT SUSTAIN, V6, P259, DOI 10.1038/s41893-022-01024-1
   Yin JB, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100880
   You JW, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2023GL104075
   You JW, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL094831
   You QL, 2017, ADV CLIM CHANG RES, V8, P141, DOI 10.1016/j.accre.2017.04.001
   Zhang KT, 2023, NAT PROD RES, DOI [10.1080/14786419.2023.2291823, 10.1109/NOMS56928.2023.10154321, 10.1038/s41586-023-05911-1, 10.1038/s44222-023-00064-2]
   Zhang L., 2019, COPULAS THEIR APPL W, DOI 10.1017/9781108565103
   Zhang W, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089185
   Zhang Y., 2021, AGU fall meeting 2021, paper ID: GC51C03
   Zhou S, 2023, SCI ADV, V9, DOI 10.1126/sciadv.abo1638
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 148
TC 0
Z9 0
U1 12
U2 24
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 2328-4277
J9 EARTHS FUTURE
JI Earth Future
PD FEB
PY 2024
VL 12
IS 2
AR e2023EF004074
DI 10.1029/2023EF004074
PG 21
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA HR0D1
UT WOS:001161106500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Candido-Ribeiro, R
   Aitken, SN
AF Candido-Ribeiro, Rafael
   Aitken, Sally N.
TI Weak local adaptation to drought in seedlings of a widespread conifer
SO NEW PHYTOLOGIST
LA English
DT Article
DE assisted gene flow; climate adaptation; climate change; Douglas-fir;
   drought tolerance; extreme drought; local adaptation; temperate trees
ID DOUGLAS-FIR SEEDLINGS; CLIMATE-CHANGE RISKS; GENE FLOW; EVOLUTIONARY
   RESPONSES; PHENOTYPIC PLASTICITY; EXTREME DROUGHT; BETA REGRESSION;
   COLD-HARDINESS; LODGEPOLE PINE; POPULATIONS
AB Tree seedlings from populations native to drier regions are often assumed to be more drought tolerant than those from wetter provenances. However, intraspecific variation in drought tolerance has not been well-characterized despite being critical for developing climate change mitigation and adaptation strategies, and for predicting the effects of drought on forests.We used a large-scale common garden drought-to-death experiment to assess range-wide variation in drought tolerance, measured by decline of photosynthetic efficiency, growth, and plastic responses to extreme summer drought in seedlings of 73 natural populations of the two main varieties of Douglas-fir (Pseudotsuga menziesii var. menziesii and var. glauca).Local adaptation to drought was weak in var. glauca and nearly absent in menziesii. Var. glauca showed higher tolerance to drought but slower growth than var. menziesii. Clinal variation in drought tolerance and growth species-wide was mainly associated with temperature rather than precipitation. A higher degree of plasticity for growth was observed in var. menziesii in response to extreme drought.Genetic variation for drought tolerance in seedlings within varieties is maintained primarily within populations. Selective breeding within populations may facilitate adaptation to drought more than assisted gene flow.
C1 [Candido-Ribeiro, Rafael; Aitken, Sally N.] Univ British Columbia, Ctr Forest Conservat Genet, Dept Forest & Conservat Sci, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia
RP Candido-Ribeiro, R; Aitken, SN (corresponding author), Univ British Columbia, Ctr Forest Conservat Genet, Dept Forest & Conservat Sci, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM rcandido@student.ubc.ca; sally.aitken@ubc.ca
RI Candido Ribeiro, Rafael/GRY-6768-2022
OI Aitken, Sally/0000-0002-2228-3625; Candido-Ribeiro,
   Rafael/0000-0001-8860-5976
FU SNA; Genome BC; Genome Alberta; Genome Quebec; British Columbia Ministry
   of Forests; Canadian Forest Service (Natural Resources Canada); Alberta
   Innovates Bio Solutions; Vernon Seed Orchard Co.; University of Alberta;
   University of British Columbia; Forest Genetics Council of British
   Columbia; Compute Canada; Mosaic Forest Management; Timber West; Western
   Forest Products
FX This work was part of the CoAdapTree project led by SNA and majorly
   founded by Genome Canada (241REF; Co-Project Leaders Sam Yeaman and
   Richard Hamelin), with co-funding from Genome BC and sponsors including
   Genome Alberta, Genome Quebec, the British Columbia Ministry of Forests,
   Canadian Forest Service (Natural Resources Canada), Alberta Innovates
   Bio Solutions, Vernon Seed Orchard Co., University of Alberta,
   University of British Columbia, the Forest Genetics Council of British
   Columbia, Compute Canada, Mosaic Forest Management, Timber West, and
   Western Forest Products. Seeds were donated by 16 forest companies and
   agencies in Canada, United States, and Mexico (visit for details). We
   thank many current and former members of the Aitken lab at the
   University of British Columbia for technical assistance and support, in
   particular Christine Chourmouzis, Pia Smets, Dragana O. Vidakovic,
   Joanne Tuytel and Alex Girard for assistance with experimental
   establishment and data collection. Brandon Lind provided the FST
   estimates. Martin Henry made the Douglas-fir cone drawings used in the
   figures. Rob Guy provided helpful suggestions on the experimental
   design. Jon Degner and Eduardo Cappa gave helpful insights into the
   analysis. Hayley Tumas and Beth Roskilly gave helpful suggestions on
   this manuscript. We thank the three anonymous reviewers and the editor
   for their insightful suggestions.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   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
   Ramírez-Valiente JA, 2021, NEW PHYTOL, V232, P1632, DOI 10.1111/nph.17678
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Au TF, 2022, NAT CLIM CHANGE, V12, P1168, DOI 10.1038/s41558-022-01528-w
   Bansal S, 2016, ECOL EVOL, V6, P2074, DOI 10.1002/ece3.2007
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P3814, DOI 10.1111/gcb.12958
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P947, DOI 10.1111/gcb.12719
   Blanquart F, 2013, ECOL LETT, V16, P1195, DOI 10.1111/ele.12150
   Brodribb T, 2021, NEW PHYTOL, V232, P68, DOI 10.1111/nph.17577
   Brodribb TJ, 2020, SCIENCE, V368, P261, DOI 10.1126/science.aat7631
   Browne L, 2019, P NATL ACAD SCI USA, V116, P25179, DOI 10.1073/pnas.1908771116
   Budde KB, 2024, J ECOL, V112, P278, DOI 10.1111/1365-2745.14231
   CAMPBELL RK, 1979, ECOLOGY, V60, P1036, DOI 10.2307/1936871
   Cavender-Bares J, 2019, NEW PHYTOL, V221, P669, DOI 10.1111/nph.15450
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   Compton S, 2023, AOB PLANTS, V15, DOI 10.1093/aobpla/plad008
   Cribari-Neto F, 2010, J STAT SOFTW, V34, P1
   Csilléry K, 2020, EVOL APPL, V13, P2357, DOI 10.1111/eva.13029
   Dai A. G., 2011, Interdisciplinary Reviews: Climate Change, V2, P45, DOI 10.1002/wcc.81
   Depardieu C, 2020, NEW PHYTOL, V227, P427, DOI 10.1111/nph.16551
   Exposito-Alonso M, 2018, NAT ECOL EVOL, V2, P352, DOI 10.1038/s41559-017-0423-0
   Ferrari SLP, 2004, J APPL STAT, V31, P799, DOI 10.1080/0266476042000214501
   FERRELL WK, 1966, ECOLOGY, V47, P499, DOI 10.2307/1932994
   Garcia-Forner N, 2016, TREE PHYSIOL, V36, P1196, DOI 10.1093/treephys/tpw040
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Greenwood S, 2017, ECOL LETT, V20, P539, DOI 10.1111/ele.12748
   Grossnickle SC, 2012, NEW FOREST, V43, P711, DOI 10.1007/s11056-012-9336-6
   Grubinger S, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16855
   Gugger PF, 2010, MOL ECOL, V19, P1877, DOI 10.1111/j.1365-294X.2010.04622.x
   Hajek P, 2022, GLOBAL CHANGE BIOL, V28, P3365, DOI 10.1111/gcb.16146
   Howe GT, 2006, PL BRED RE, V27, P245
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Huang WW, 2022, NEW FOREST, V53, P759, DOI 10.1007/s11056-021-09885-8
   JOLY RJ, 1989, FOREST SCI, V35, P987
   Kavanagh KL, 1999, TREE PHYSIOL, V19, P31
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kolb TE, 2016, FOREST SCI, V62, P641, DOI 10.5849/forsci.16-049
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Lamy JB, 2014, NEW PHYTOL, V201, P874, DOI 10.1111/nph.12556
   Lavender D.P., 2014, Douglas-Fir: The Genus Pseudotsuga, DOI DOI 10.1073/PNAS.1031755100
   Leites L, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16711
   Liepe KJ, 2016, EVOL APPL, V9, P409, DOI 10.1111/eva.12345
   Lind BM, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17227
   López R, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00769
   MacKenzie WH, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118705
   MacLachlan IR, 2017, FOREST ECOL MANAG, V391, P404, DOI 10.1016/j.foreco.2017.02.008
   McDowell NG, 2022, NAT REV EARTH ENV, V3, P294, DOI 10.1038/s43017-022-00272-1
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Montwé D, 2016, GLOBAL CHANGE BIOL, V22, P806, DOI 10.1111/gcb.13123
   Montwé D, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0854-1
   Moran E, 2017, NEW PHYTOL, V216, P1034, DOI 10.1111/nph.14774
   Murchie EH, 2013, J EXP BOT, V64, P3983, DOI 10.1093/jxb/ert208
   Nippert JB, 2004, FUNCT ECOL, V18, P876, DOI 10.1111/j.0269-8463.2004.00909.x
   Nuhu J., 2022, GENETIC VARIATION DR
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Parmesan C, 2015, ANN BOT-LONDON, V116, P849, DOI 10.1093/aob/mcv169
   Pickles BJ, 2015, NEW PHYTOL, V207, P858, DOI 10.1111/nph.13360
   Pigliucci M., 2001, SYN ECO EVO, P306
   R.C. Team., 2021, R: A language and environment for statistical computing
   REHFELDT GE, 1979, HEREDITY, V43, P383, DOI 10.1038/hdy.1979.89
   REHFELDT GE, 1977, THEOR APPL GENET, V50, P3, DOI 10.1007/BF00273790
   Rehfeldt GE, 2018, GLOBAL CHANGE BIOL, V24, P858, DOI 10.1111/gcb.13883
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P138, DOI 10.1016/j.foreco.2014.02.041
   Samset BH, 2019, EARTHS FUTURE, V7, P1323, DOI 10.1029/2019EF001160
   Sang ZHH, 2019, EVOL APPL, V12, P1850, DOI 10.1111/eva.12845
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Scotti I, 2023, MOL ECOL, V32, P393, DOI 10.1111/mec.16750
   Song YJ, 2022, J ECOL, V110, P2088, DOI 10.1111/1365-2745.13931
   Sperry JS, 2008, PLANT CELL ENVIRON, V31, P632, DOI 10.1111/j.1365-3040.2007.01765.x
   Spinoni J, 2018, INT J CLIMATOL, V38, P1718, DOI 10.1002/joc.5291
   St Clair JB, 2007, GLOBAL CHANGE BIOL, V13, P1441, DOI 10.1111/j.1365-2486.2007.01385.x
   St Clair JB, 2020, J FOREST, V118, P1, DOI 10.1093/jofore/fvz064
   St Clair JB, 2005, ANN BOT-LONDON, V96, P1199, DOI 10.1093/aob/mci278
   Stangler DF, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.907492
   Thompson, 2017, ASREML R REFERENCE M
   Trueba S, 2019, NEW PHYTOL, V223, P134, DOI 10.1111/nph.15779
   Vitali V, 2017, GLOBAL CHANGE BIOL, V23, P5108, DOI 10.1111/gcb.13774
   Wadgymar SM, 2022, ANNU REV ECOL EVOL S, V53, P87, DOI 10.1146/annurev-ecolsys-012722-035231
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wang TL, 2010, ECOL APPL, V20, P153, DOI 10.1890/08-2257.1
   WHITE TL, 1987, FOREST SCI, V33, P283
   Whitlock MC, 2008, MOL ECOL, V17, P1885, DOI 10.1111/j.1365-294X.2008.03712.x
   Williams JW, 2021, NAT ECOL EVOL, V5, P17, DOI 10.1038/s41559-020-01344-5
   Woo NS, 2008, PLANT METHODS, V4, DOI 10.1186/1746-4811-4-27
   Yang QH, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19309-4
   Yeaman S, 2022, GENETICS, V220, DOI 10.1093/genetics/iyab134
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Zhou S, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau5740
NR 91
TC 5
Z9 6
U1 15
U2 31
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD MAR
PY 2024
VL 241
IS 6
BP 2395
EP 2409
DI 10.1111/nph.19543
EA JAN 2024
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA JG4T2
UT WOS:001146070100001
PM 38247230
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Snep, RPH
   Klostermann, J
   Lehner, M
   Weppelman, I
AF Snep, Robbert P. H.
   Klostermann, Judith
   Lehner, Mathias
   Weppelman, Ineke
TI Social housing as focus area for Nature-based Solutions to strengthen
   urban resilience and justice: Lessons from practice in the Netherlands
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Social housing; Nature-based Solutions; Environmental justice; Climate
   adaptation; Urban green; Biodiversity
ID CITIES
AB Social housing typically encompasses neighbourhoods with low social-economic status. Here, environmental problems like climate change and biodiversity loss have a higher impact than in other neighbourhoods. Applying Nature-based Solutions (NbS) may enhance the resilience of social housing neighbourhoods and as such make cities more just. In this article we explore to what extent NbS can be applied, given the physical, social and financial limitations that define Dutch social housing practice, and -by doing so - what NbS can contribute to environmental justice. Based upon several Living Lab experiences and dialogues with numerous housing cor-porations, ten NbS measures have been identified that likely will match with current practices in social housing. Implementing NbS contributes to all aspects of environmental justice, with distributional justice as the most straightforward one (more NbS means more environmental benefits). Procedural and recognitional justice were found to be of crucial importance to make greenspaces worthwhile for the residents. Our study draws attention to the fact that NbS knowledge is key but currently still insufficient, both within housing corporations as within the key partners (local authorities, landscaping firms). This means that there is a growing demand to increase NbS knowledge in the social housing sector. We finalize this article with recommendations on how to meet this demand.
C1 [Snep, Robbert P. H.; Klostermann, Judith; Weppelman, Ineke] Wageningen Univ & Res, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Lehner, Mathias] Zaanstad Municipal, POB 2000, NL-1500 GA Zaandam, Netherlands.
   [Lehner, Mathias] Nextc nl, Bankastr 3H, NL-1094 CZ Amsterdam, Netherlands.
C3 Wageningen University & Research
RP Snep, RPH (corresponding author), Wageningen Univ & Res, POB 47, NL-6700 AA Wageningen, Netherlands.
EM Robbert.snep@wur.nl
RI Snep, Robbert/C-2458-2008
OI Snep, Robbert/0000-0002-7130-9254
FU Dutch Foundation TKI Horticulture and its partners; Dutch Ministry of
   Agriculture, Nature and Food Quality [KB36-003-008]
FX This publication is funded by the Dutch Foundation TKI Horticulture and
   its partners, and the Wageningen Knowledge Base program: KB36
   Biodiversity in a Nature Inclusive Society (project number
   KB36-003-008)-that is supported by finance from the Dutch Ministry of
   Agriculture, Nature and Food Quality. The paper builds upon earlier work
   on water smart cities, Nature-based Solutions and urban ecosystems in
   the Green Climate Solutions and Green Cities programs at Wageningen
   University & Research (WUR). As part of the Pleasant Green Living
   project an online course on NbS implementation in social housing (see
   article) was developed with help of the Dutch province of South-Holland,
   the Dutch network Together ClimateProof and the Green Housing Providers.
   We thank WUR-colleague Sjerp de Vries for his constructive support
   during the revision phase of the manuscript.
CR Aalbers C., 2014, SOCIOECOLOGICAL INEQ
   Aedes, 2017, NED BOUW BIJDR AED T
   Allen J., 2014, Natural solutions for tackling health inequalities
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Baka A, 2022, LANDSCAPE RES, V47, P584, DOI 10.1080/01426397.2022.2051458
   Batchelor P., 1969, J SOC ARCHIT HIST, V28, P184, DOI DOI 10.2307/988557
   Braubach M, 2010, EUR J PUBLIC HEALTH, V20, P36, DOI 10.1093/eurpub/ckp221
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   BZK/CBS WoON2018, 2018, KERNC WOM 2018
   Calderón-Argelich A, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104130
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   de Vries S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155889
   Dell'Era C, 2014, CREAT INNOV MANAG, V23, P137, DOI 10.1111/caim.12061
   EEA, 2021, 12021 EEA
   Feddes Ytje, 2012, AGORA-ESTUD TEOR PSI
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Haas Wim de, 2017, GROEN GELIJK EERLIJK
   Hartig T, 2016, SCIENCE, V352, P938, DOI 10.1126/science.aaf3759
   Hattum T., 2016, WATER SMART CITIES C
   Hoffimann E, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080916
   Hop Margareth E.C.M., 2008, VASTE PLANTEN NEDERL, V425
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kooiker S., 2018, SOCIALE STAAT NEDERL
   Kullberg J., 2018, SOCIALE STAAT NEDERL
   Langemeyer J, 2020, ENVIRON SCI POLICY, V109, P1, DOI 10.1016/j.envsci.2020.03.021
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   Mattijssen T.J.M., 2016, 127 WOT
   Ordóñez C, 2022, URBAN FOR URBAN GREE, V77, DOI 10.1016/j.ufug.2022.127754
   Pineda-Pinto M, 2022, AMBIO, V51, P167, DOI 10.1007/s13280-021-01553-7
   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]
   Rigolon A, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052563
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schüle SA, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16071216
   SCP, 2019, US
   Snep RPH, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.599060
   Steenhuis Marinke, 2016, ONDERZOEK NAOORLOGS
   Wamsteker, 2012, ID DUURZ STAD
   Westra S, 2014, REV GEOPHYS, V52, P522, DOI 10.1002/2014RG000464
   Wittebrood Karin, 2011, WONEN WIJKEN INTERVE
NR 39
TC 4
Z9 4
U1 7
U2 26
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD JUL
PY 2023
VL 145
BP 164
EP 174
DI 10.1016/j.envsci.2023.02.022
EA APR 2023
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA G6ZZ0
UT WOS:000990629600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Cao, LJ
   Li, BY
   Chen, JC
   Zhu, JY
   Hoffmann, AA
   Wei, SJ
AF Cao, Li-Jun
   Li, Bing-Yan
   Chen, Jin-Cui
   Zhu, Jia-Ying
   Hoffmann, Ary A.
   Wei, Shu-Jun
TI Local climate adaptation and gene flow in the native range of two
   co-occurring fruit moths with contrasting invasiveness
SO MOLECULAR ECOLOGY
LA English
DT Article
DE gene flow; invasion potential; invasiveness; local adaptation;
   population genomics
ID VARIANT CALL FORMAT; GRAPHOLITA-MOLESTA; CARPOSINA-SASAKII;
   LEPIDOPTERA-TORTRICIDAE; MULTIPLE INTRODUCTIONS; ADAPTIVE EVOLUTION;
   LIFE-HISTORY; PEACH; ESTABLISHMENT; DETERMINANTS
AB Invasive species pose increasing threats to global biodiversity and ecosystems. While previous studies have characterized successful invaders based on ecological traits, characteristics related to evolutionary processes have rarely been investigated. Here we compared gene flow and local adaptation using demographic analyses and outlier tests in two co-occurring moth pests across their common native range of China, one of which (the peach fruit moth, Carposina sasakii) has maintained its native distribution, while the other (the oriental fruit moth, Grapholita molesta) has expanded its range globally during the past century. We found that both species showed a pattern of genetic differentiation and an evolutionary history consistent with a common southwestern origin and northward expansion in their native range. However, for the noninvasive species, genetic differentiation was closely aligned with the environment, and there was a relatively low level of gene flow, whereas in the invasive species, genetic differentiation was associated with geography. Genome scans indicated stronger patterns of climate-associated loci in the noninvasive species. While strong local adaptation and reduced gene flow across its native range may have decreased the invasiveness of C. sasakii, this requires further validation with additional comparisons of invasive and noninvasive species across their native range.
C1 [Cao, Li-Jun; Li, Bing-Yan; Chen, Jin-Cui; Wei, Shu-Jun] Beijing Acad Agr & Forestry Sci, Inst Plant & Environm Protect, 9 Shuguanghuayuan Middle Rd, Beijing 100097, Peoples R China.
   [Li, Bing-Yan; Zhu, Jia-Ying] Southwest Forestry Univ, Key Lab Forest Disaster Warning & Control Yunnan, Kunming, Yunnan, Peoples R China.
   [Hoffmann, Ary A.] Univ Melbourne, Bio21 Inst, Sch BioSci, Parkville, Vic, Australia.
C3 Beijing Academy of Agriculture & Forestry Sciences (BAAFS); Southwest
   Forestry University - China; University of Melbourne
RP Wei, SJ (corresponding author), Beijing Acad Agr & Forestry Sci, Inst Plant & Environm Protect, 9 Shuguanghuayuan Middle Rd, Beijing 100097, Peoples R China.
EM shujun268@163.com
RI Hoffmann, Ary/C-2961-2011; Cao, Lijun/ABA-6079-2021; wang,
   qiang/IZW-1751-2023; Wei, Shu-Jun/C-1109-2011
OI Wei, Shu-Jun/0000-0001-7398-0968; Zhu, Jiaying/0000-0002-4533-8203; Cao,
   Li-Jun/0000-0002-4595-0136; Hoffmann, Ary/0000-0001-9497-7645
FU National Natural Science Foundation of China [32070464, 31901884]; Joint
   Laboratory of Pest Control Research Between China and Australia (Beijing
   Municipal Science and Technology Commission) [Z201100008320013]
FX National Natural Science Foundation of China, Grant/Award Number:
   32070464 and 31901884; Joint Laboratory of Pest Control Research Between
   China and Australia (Beijing Municipal Science and Technology
   Commission), Grant/Award Number: Z201100008320013
CR Abellán P, 2017, P NATL ACAD SCI USA, V114, P9385, DOI 10.1073/pnas.1704815114
   Aeschbacher S, 2017, P NATL ACAD SCI USA, V114, P7061, DOI 10.1073/pnas.1616755114
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Allen WL, 2017, ECOL LETT, V20, P222, DOI 10.1111/ele.12728
   Andrew SC, 2018, BIOL INVASIONS, V20, P1507, DOI 10.1007/s10530-017-1643-6
   Baker H. G., 1965, The genetics of colonizing species: Proc. 1st Internat. Union biol Sci., Asilomar, California., P147
   Baltazar-Soares M, 2017, ECOL EVOL, V7, P7687, DOI 10.1002/ece3.3208
   Bellard C, 2016, BIOL LETTERS, V12, DOI 10.1098/rsbl.2015.0623
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bock DG, 2015, MOL ECOL, V24, P2277, DOI 10.1111/mec.13032
   Bradburd GS, 2019, ANNU REV ECOL EVOL S, V50, P427, DOI 10.1146/annurev-ecolsys-110316-022659
   Bradshaw CJA, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12986
   Bragard C, 2018, EFSA J, V16, DOI 10.2903/j.efsa.2018.5516
   Cao LJ, 2021, MOL ECOL RESOUR, V21, P834, DOI 10.1111/1755-0998.13288
   Cao LJ, 2016, DIVERS DISTRIB, V22, P1276, DOI 10.1111/ddi.12486
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Chabrerie O., 2019, BIOL INVASION
   Chen ZZ, 2019, B ENTOMOL RES, V109, P212, DOI 10.1017/S0007485318000469
   Chen ZJ, 2010, J NEUROSCI, V30, P6247, DOI 10.1523/JNEUROSCI.0627-10.2010
   Comeault AA, 2020, MOL BIOL EVOL, V37, P1893, DOI 10.1093/molbev/msaa050
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   D'Souza-Schorey C, 2006, NAT REV MOL CELL BIO, V7, P347, DOI 10.1038/nrm1910
   Dent R, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037135, 10.1371/journal.pone.0036889]
   Dlugosch KM, 2008, MOL ECOL, V17, P431, DOI 10.1111/j.1365-294X.2007.03538.x
   El-Gebali S, 2019, NUCLEIC ACIDS RES, V47, pD427, DOI 10.1093/nar/gky995
   Ellis N, 2012, ECOLOGY, V93, P156, DOI 10.1890/11-0252.1
   Ellstrand NC, 2000, P NATL ACAD SCI USA, V97, P7043, DOI [10.1073/pnas.97.13.7043, 10.1007/s10681-006-5939-3]
   Estoup A, 2016, ANNU REV ECOL EVOL S, V47, P51, DOI 10.1146/annurev-ecolsys-121415-032116
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Fournier A, 2019, P NATL ACAD SCI USA, V116, P7905, DOI 10.1073/pnas.1803456116
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Gallien L, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2018.2477
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Gautier M, 2013, MOL BIOL EVOL, V30, P654, DOI 10.1093/molbev/mss257
   Hardy OJ, 2002, MOL ECOL NOTES, V2, P618, DOI 10.1046/j.1471-8286.2002.00305.x
   Hayes KR, 2008, BIOL INVASIONS, V10, P483, DOI 10.1007/s10530-007-9146-5
   Hendricks S, 2018, EVOL APPL, V11, P1197, DOI 10.1111/eva.12659
   Hiatt D, 2020, NEW PHYTOL, V225, P584, DOI 10.1111/nph.16225
   Hoffmann AA, 2018, J ECON ENTOMOL, V111, P501, DOI 10.1093/jee/toy024
   Ishiguri Y, 2004, APPL ENTOMOL ZOOL, V39, P127, DOI 10.1303/aez.2004.127
   Jelbert K, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13556-w
   Jensen JD, 2016, MOL ECOL, V25, P1, DOI 10.1111/mec.13493
   Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
   Kellermann V, 2009, SCIENCE, V325, P1244, DOI 10.1126/science.1175443
   Kirk H, 2013, EVOL APPL, V6, P842, DOI 10.1111/eva.12071
   Kirk H, 2013, BMC ECOL, V13, DOI 10.1186/1472-6785-13-12
   Knaus BJ, 2017, MOL ECOL RESOUR, V17, P44, DOI 10.1111/1755-0998.12549
   Kolar CS, 2001, TRENDS ECOL EVOL, V16, P199, DOI 10.1016/S0169-5347(01)02101-2
   Krieger MJB, 2002, SCIENCE, V295, P328, DOI 10.1126/science.1065247
   Kwon DH, 2018, B ENTOMOL RES, V108, P241, DOI 10.1017/S0007485317000694
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   Lee CE, 2002, TRENDS ECOL EVOL, V17, P386, DOI 10.1016/S0169-5347(02)02554-5
   Lester PJ, 2005, DIVERS DISTRIB, V11, P279, DOI 10.1111/j.1366-9516.2005.00169.x
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Ma L, 2020, DIVERS DISTRIB, V26, P610, DOI 10.1111/ddi.13053
   Medley KA, 2019, J APPL ECOL, V56, P2518, DOI 10.1111/1365-2664.13480
   Medley KA, 2015, MOL ECOL, V24, P284, DOI 10.1111/mec.12925
   Nunez-Mir GC, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2797
   Oduor AMO, 2016, J ECOL, V104, P957, DOI 10.1111/1365-2745.12578
   Oostra V, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03384-9
   Paetkau D, 2004, MOL ECOL, V13, P55, DOI 10.1046/j.1365-294X.2004.02008.x
   Peres-Neto PR, 2001, OECOLOGIA, V129, P169, DOI 10.1007/s004420100720
   Pickrell JK, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002967
   Piry S, 2004, J HERED, V95, P536, DOI 10.1093/jhered/esh074
   Pysek P, 2010, P NATL ACAD SCI USA, V107, P12157, DOI 10.1073/pnas.1002314107
   Qu YH, 2012, MOL ECOL, V21, P6117, DOI 10.1111/mec.12080
   Rannala B, 1997, P NATL ACAD SCI USA, V94, P9197, DOI 10.1073/pnas.94.17.9197
   Rousset F, 2008, MOL ECOL RESOUR, V8, P103, DOI 10.1111/j.1471-8286.2007.01931.x
   Schlaepfer MA, 2002, TRENDS ECOL EVOL, V17, P474, DOI 10.1016/S0169-5347(02)02580-6
   Seebens H, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14435
   Sexton JP, 2014, EVOLUTION, V68, P1, DOI 10.1111/evo.12258
   Sgrò CM, 2016, ANNU REV ENTOMOL, V61, P433, DOI 10.1146/annurev-ento-010715-023859
   Sherpa S, 2019, EVOLUTION, V73, P1793, DOI 10.1111/evo.13801
   Simberloff D, 2013, TRENDS ECOL EVOL, V28, P58, DOI 10.1016/j.tree.2012.07.013
   Smith AL, 2020, P NATL ACAD SCI USA, V117, P4218, DOI 10.1073/pnas.1915848117
   Sol D, 2012, SCIENCE, V337, P580, DOI 10.1126/science.1221523
   Song W., 2020, BIORXIV2009200428253
   Szucs M, 2017, P NATL ACAD SCI USA, V114, P13501, DOI 10.1073/pnas.1712934114
   Thomas L, 2017, GLOBAL CHANGE BIOL, V23, P2197, DOI 10.1111/gcb.13639
   Thrall PH, 2011, EVOL APPL, V4, P200, DOI 10.1111/j.1752-4571.2010.00179.x
   van Boheemen LA, 2020, MOL ECOL, V29, P4102, DOI 10.1111/mec.15429
   van Boheemen LA, 2017, MOL ECOL, V26, P5421, DOI 10.1111/mec.14293
   Van Kleunen M, 2008, AM NAT, V171, P195, DOI 10.1086/525057
   van Kleunen M, 2010, ECOL LETT, V13, P947, DOI 10.1111/j.1461-0248.2010.01503.x
   Van Wallendael A, 2018, EVOL ECOL, V32, P395, DOI 10.1007/s10682-018-9942-7
   Wang YZ, 2017, BMC EVOL BIOL, V17, DOI 10.1186/s12862-017-1116-7
   Wei SJ, 2015, MOL ECOL, V24, P4094, DOI 10.1111/mec.13300
   Weinig C, 2007, GENETICA, V129, P205, DOI 10.1007/s10709-006-9015-7
   Wellband KW, 2017, BIOL INVASIONS, V19, P2609, DOI 10.1007/s10530-017-1471-8
   Winklert DE, 2019, ECOL EVOL, V9, P7928, DOI 10.1002/ece3.5239
   Yadav S, 2021, MOL ECOL, V30, P481, DOI 10.1111/mec.15739
   Yang XF, 2016, B ENTOMOL RES, V106, P135, DOI 10.1017/S0007485315000887
   Young RG, 2018, EUR J ENTOMOL, V115, P718, DOI 10.14411/eje.2018.071
   Zhang B, 2016, J INSECT PHYSIOL, V86, P32, DOI 10.1016/j.jinsphys.2015.12.007
   Zhang C, 2019, BIOINFORMATICS, V35, P1786, DOI 10.1093/bioinformatics/bty875
NR 100
TC 15
Z9 16
U1 6
U2 57
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD SEP
PY 2021
VL 30
IS 17
BP 4204
EP 4219
DI 10.1111/mec.16055
EA JUL 2021
PG 16
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA UE7NA
UT WOS:000674215800001
PM 34278603
DA 2025-01-10
ER

PT J
AU Centeri, C
   Saláta, D
   Szilágyi, A
   Orosz, G
   Czóbel, S
   Grónás, V
   Gyulai, F
   Kovács, E
   Peto, A
   Skutai, J
   Biró, Z
   Malatinszky, A
AF Centeri, Csaba
   Salata, Denes
   Szilagyi, Alfred
   Orosz, Gyorgy
   Czobel, Szilard
   Gronas, Viktor
   Gyulai, Ferenc
   Kovacs, Eszter
   Peto, Akos
   Skutai, Julianna
   Biro, Zsolt
   Malatinszky, Akos
TI Selected Good Practices in the Hungarian Agricultural Heritage
SO SUSTAINABILITY
LA English
DT Article
DE sustainable Hungarian farming; agro-heritage; landscape change; land-use
   change; wooded grassland; orchard grassland; permaculture
ID ORCHARD MEADOWS; AGROFORESTRY SYSTEM; VEGETATION; CHALLENGE; LANDSCAPE;
   PASTURE; EUROPE; MODEL; AREA
AB Agriculture has always played a determining role in Hungarian landscapes. Forested areas were also under agricultural use; however, their use changed, starting at least from the Middle Ages when the need for new arable fields resulted in a tremendous decrease in forested areas. The protection of forests started for many reasons, saving them for fuelwood and construction materials. This is the reason why there were periods when forests of the Carpathian Basin suffered from considerable pressure, and even today, this pressure continues; however, the source changed from animal husbandry to tourism, forestry, and wildlife management, or rather hunting. This created the need to search for and analyse former sustainable use of the forests. Furthermore, the consideration of the use of trees/treelines is under the scope of helping the climate adaptation of arable fields. Wooded grasslands have also been mapped and various analyses were done, related to their survival. We wish to introduce some of the ancestral forms of the agricultural use of Hungarian farming, where trees play an important role, their origin, distribution, threatening factors, and their future. Sustainable arable farming systems with trees, including wood-pastures; orchard grasslands and conventional, organic, and permaculture horticultural farms with various proportion of tree cover, will be described.
C1 [Centeri, Csaba; Salata, Denes; Szilagyi, Alfred; Orosz, Gyorgy; Czobel, Szilard; Gronas, Viktor; Gyulai, Ferenc; Kovacs, Eszter; Peto, Akos; Skutai, Julianna; Biro, Zsolt; Malatinszky, Akos] Hungarian Univ Agr & Life Sci, Inst Wildlife Management & Nat Conservat, Pater Karoly Utca 1, H-2103 Godollo, Hungary.
C3 Hungarian University of Agriculture & Life Sciences
RP Centeri, C (corresponding author), Hungarian Univ Agr & Life Sci, Inst Wildlife Management & Nat Conservat, Pater Karoly Utca 1, H-2103 Godollo, Hungary.
EM centeri.csaba@uni-mate.hu; salata.denes@uni-mate.hu;
   szilagyialfred@gmail.com; orosz.gyorgy@uni-mate.hu;
   czobel.szilard@uni-mate.hu; gronas.viktor.peter@uni-mate.hu;
   gyulai.ferenc@uni-mate.hu; kovacs.eszter@uni-mate.hu;
   peto.akos@uni-mate.hu; skutaijulianna@uni-mate.hu;
   biro.zsolt@uni-mate.hu; malatinszky.akos@uni-mate.hu
RI Malatinszky, Ákos/AAD-1341-2021; Csaba, Centeri/AAS-9241-2020; Kovács,
   Eszter/JGM-0945-2023
OI Szilagyi, Alfred/0000-0002-6480-6252; Biro, Zsolt/0000-0002-6046-5833;
   Centeri, Csaba/0000-0001-6590-4850; Peto, Akos/0000-0003-3811-1155;
   Salata, Denes/0000-0002-7149-0022; Tormane Kovacs,
   Eszter/0000-0001-8509-6432
CR Aneka L, 2018, 25 INT DAY I HYDR OP, P103
   [Anonymous], 2004, SUSTAINABILITY AGROS
   [Anonymous], 2005, WOODLAND FORESTS MED
   Baji B, 2013, PERMAKULTURA ONELLAT, P224
   Bartha D, 2014, AKTUALIS FLORA VEGET, P225
   Bartha D, 2003, MAGY TUDOMANY, V12, P90
   Bergmeier E, 2010, BIODIVERS CONSERV, V19, P2995, DOI 10.1007/s10531-010-9872-3
   Boloni J., 2009, Acta Botanica Hungarica, V50, P107, DOI 10.1556/ABot.50.2008.Suppl.6
   Bouvier JC, 2020, BIODIVERS CONSERV, V29, P3169, DOI 10.1007/s10531-020-02016-3
   Camagni R, 2008, ADV SPAT SCI, P33, DOI 10.1007/978-3-540-74737-6_3
   Centeri C., 2016, Biocultural diversity in Europe. Environmental history, V5, P75, DOI [10.1007/978-3-319-26315-1_4, DOI 10.1007/978-3-319-26315-14]
   Crawford M, 2010, CREATING FOREST GARD, P384
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   Dobrovodská M, 2019, BIODIVERS CONSERV, V28, P2615, DOI 10.1007/s10531-019-01784-x
   Eichhorn MP, 2006, AGROFOREST SYST, V67, P29, DOI 10.1007/s10457-005-1111-7
   Ellis EA, 2005, COMPUT ELECTRON AGR, V49, P129, DOI 10.1016/j.compag.2005.02.008
   Ferguson RS, 2014, AGRON SUSTAIN DEV, V34, P251, DOI 10.1007/s13593-013-0181-6
   Forejt M, 2019, MORAV GEOGR REP, V27, P217, DOI 10.2478/mgr-2019-0017
   Fróna D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205816
   Garbarino M, 2011, EUR J FOREST RES, V130, P491, DOI 10.1007/s10342-010-0437-5
   Gillet F, 2008, ECOL MODEL, V217, P1, DOI 10.1016/j.ecolmodel.2008.05.013
   Herzog F, 1998, AGROFOREST SYST, V42, P61, DOI 10.1023/A:1006152127824
   Holl K, 2007, FOREST ECOL MANAG, V249, P45, DOI 10.1016/j.foreco.2007.04.042
   Holmgren D, 2002, PERMACULTURE PRINCIP, P286
   JOFFRE R, 1988, AGROFOREST SYST, V6, P71, DOI 10.1007/BF02220110
   Jorgensen D., 2014, European Wood-Pastures in Transition: A Social-Ecological Approach, P55
   Jose S, 2012, AGROFOREST SYST, V85, P1, DOI 10.1007/s10457-012-9517-5
   Keesman KJ, 2011, ENVIRON MODELL SOFTW, V26, P1540, DOI 10.1016/j.envsoft.2011.07.020
   Kovács E, 2015, ECOSYST SERV, V12, P117, DOI 10.1016/j.ecoser.2014.09.012
   Kun R, 2019, AGR ECOSYST ENVIRON, V283, DOI 10.1016/j.agee.2019.05.015
   Malatinszky A, 2008, CEREAL RES COMMUN, V36, P1139
   Manning AD, 2006, BIOL CONSERV, V132, P311, DOI 10.1016/j.biocon.2006.04.023
   Mehrabi Z, 2018, NAT SUSTAIN, V1, P409, DOI 10.1038/s41893-018-0119-8
   Mollison B, 1990, PERMACULTURE ONE PER, P127
   Mollison B, 1988, PERMACULTURE DESIGNE, P565
   Molnar Zs., 2009, Acta Botanica Hungarica, V50, P199, DOI 10.1556/ABot.50.2008.Suppl.10
   MolnuYr Z, 2015, AZ ERDEI LEGELTETES, P107
   Mravcsik Z., 2009, Tajokologiai Lapok, V7, P473
   Nair P. K. R., 2012, Agroforestry  The Future of Global Land Use, P515
   PetercsuYk T, 1992, STUDIA FOLKLOR ETHNO, V30, P239
   PIMENTEL D, 1993, AGR ECOSYST ENVIRON, V46, P273, DOI 10.1016/0167-8809(93)90030-S
   Plieninger T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126178
   Rackham O, 1996, TREES WOODLAND BRIT, P234
   Rigueiro-Rodruiguez M, 1999, BIODIVERSITY INDICAT, P66
   SaluYta D, 2017, TIPOLOGY NATURE CONS, P131
   Santoro A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104054
   Schönhart M, 2011, J ENVIRON PLANN MAN, V54, P115, DOI 10.1080/09640568.2010.502763
   Steffan-Dewenter I, 2003, BIODIVERS CONSERV, V12, P1953, DOI 10.1023/A:1024199513365
   Szabadfalvi S, 1977, HERMAN OTTO MUZEUM E, P295
   Talbot L., 1987, FEED EARTH AGROECOLO, P122
   Tiessen H, 2003, PLANT SOIL, V252, P195, DOI 10.1023/A:1024762501920
   Toensmeier D, 2005, ECOLOGICAL VISION TH, VVolume 1, P396
   Tscharntke T, 2002, ECOL APPL, V12, P354, DOI 10.1890/1051-0761(2002)012[0354:COSHFT]2.0.CO;2
   Van Doorn A., 2014, Task 1-defining and classifying grasslands in Europe
   Vera F. W. M., 2000, Grazing ecology and forest history, P287, DOI 10.1079/9780851994420.0287
   Zarnovican H, 2017, ACTA SOC BOT POL, V86, DOI 10.5586/asbp.3552
   Zilahy G., 2020, SUSTAINABILITY TRANS, P948
NR 57
TC 1
Z9 3
U1 3
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2021
VL 13
IS 12
AR 6676
DI 10.3390/su13126676
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 SZ7UK
UT WOS:000666765100001
OA gold
DA 2025-01-10
ER

PT J
AU Calder, RSD
   Shi, CJ
   Mason, SA
   Olander, LP
   Borsuk, ME
AF Calder, Ryan S. D.
   Shi, Congjie
   Mason, Sara A.
   Olander, Lydia P.
   Borsuk, Mark E.
TI Forecasting ecosystem services to guide coastal wetland rehabilitation
   decisions
SO ECOSYSTEM SERVICES
LA English
DT Article
DE Ecosystem services; Economic valuation; Environmental modeling; Coastal
   wetlands; Climate adaptation; Decision analysis
ID CONSTRUCTED WETLANDS; NITROGEN; REMOVAL; MARSH; RESTORATION;
   UNCERTAINTY; SEDIMENT; SYSTEMS; MODEL; WATER
AB Coastal wetlands provide diverse ecosystem services such as flood protection and recreational value. However, predicting changes in ecosystem service value from restoration or management is challenging because environmental systems are highly complex and uncertain. Furthermore, benefits are diverse and accrue over various timescales. We developed a generalizable mathematical coastal management model to compare restoration expenditures to ecosystem service benefits and apply it to McInnis Marsh, Marin County, California, USA. We find that benefits of restoration outweigh costs for a wide range of assumptions. For instance, costs of restoration range from 8-30% of the increase in ecosystem service value over 50 years depending on discount rate. Flood protection is the dominant monetized service for most payback periods and discount rates, but other services (e.g., recreation) dominate on shorter timescales (> 50% of total value for payback periods <= 4 years). We find that the range of total ecosystem service value is narrower than overall variability reported in the literature, supporting the use of mechanistic methods in decision-making around coastal resiliency. However, the magnitude and relative importance of ecosystem services are sensitive to payback period, discount rate and risk tolerance, demonstrating the importance of probabilistic decision analysis. This work provides a modular, transferrable tool to that can also inform coastal resiliency investments elsewhere.
C1 [Calder, Ryan S. D.; Borsuk, Mark E.] Duke Univ, Pratt Sch Engn, Dept Civil & Environm Engn, Durham, NC 27708 USA.
   [Shi, Congjie] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.
   [Mason, Sara A.; Olander, Lydia P.] Duke Univ, Nicholas Inst Environm Policy Solut, Durham, NC 27708 USA.
C3 Duke University; Duke University; Duke University
RP Calder, RSD (corresponding author), 1116 Hudson Hall,Box 90287, Durham, NC 27708 USA.
EM ryan.calder@duke.edu
RI Borsuk, Mark/AAV-1663-2020; Calder, Ryan/D-3279-2018
OI Borsuk, Mark/0000-0002-5121-1110; Shi, Congjie/0009-0007-8994-4110;
   Calder, Ryan/0000-0001-5618-9840
FU United States Geological Survey [G16AC00436]
FX United States Geological Survey, grant no. G16AC00436.
CR Acreman M, 2013, WETLANDS, V33, P773, DOI 10.1007/s13157-013-0473-2
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   [Anonymous], 2012, San Fr. Estuary Watershed Sci
   [Anonymous], 2018, LANDSCAPE
   [Anonymous], 2011, MARIN COUNTY PARKS V
   Ascough JC, 2008, ECOL MODEL, V219, P383, DOI 10.1016/j.ecolmodel.2008.07.015
   Barbier EB, 2013, RESOURCES-BASEL, V2, P213, DOI 10.3390/resources2030213
   Benson R. N., 2018, REAL ESTATE SALES DA
   Borsuk M, 2001, GROUP DECIS NEGOT, V10, P355, DOI 10.1023/A:1011231801266
   Borsuk ME, 2012, INTEGR ENVIRON ASSES, V8, P462, DOI 10.1002/ieam.233
   Boutwell JL, 2013, RESOURCES-BASEL, V2, P517, DOI 10.3390/resources2040517
   Boyd J. W., 2015, Discussion Paper - Resources for the Future (RFF)
   Brander LM, 2006, ENVIRON RESOUR ECON, V33, P223, DOI 10.1007/s10640-005-3104-4
   Brouillette D., 2001, VECTEUR ENV, V34, P64
   Callaway JC, 2012, ESTUAR COAST, V35, P1163, DOI 10.1007/s12237-012-9508-9
   Cape Cod Commission, 2013, REG WAST MAN PLAN UN
   Carver E., 2013, Birding in the United States: A demographic and economic analysis: Addendum to the 2011 national survey of fishing, hunting, and wildlife-associated recreation
   Centers for Disease Control and Prevention (CDC) Division for Heart Disease and Stroke Prevention, 2010, EV GUID DEV US LOG M
   Chmura GL, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001917
   Church J. A., 2013, CLIMATE CHANGE 2013
   Coastal Conservancy, 2018, NAP RIV SALT MARSH R
   Compton JE, 2011, ECOL LETT, V14, P804, DOI 10.1111/j.1461-0248.2011.01631.x
   Costanza R, 2008, AMBIO, V37, P241, DOI 10.1579/0044-7447(2008)37[241:TVOCWF]2.0.CO;2
   Council on Environmental Quality (CEQ), 2014, FR
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   Dutta D, 2003, J HYDROL, V277, P24, DOI 10.1016/S0022-1694(03)00084-2
   Federal Emergency Management Agency (FEMA), 2016, BEN COST AN TOOLS DR
   Goldstein JH, 2012, P NATL ACAD SCI USA, V109, P7565, DOI 10.1073/pnas.1201040109
   GREN IM, 1995, EUR REV AGRIC ECON, V22, P157, DOI 10.1093/erae/22.2.157
   Grêt-Regamey A, 2017, ECOSYST SERV, V26, P306, DOI 10.1016/j.ecoser.2016.10.012
   Hamel P, 2017, ECOSYST SERV, V24, P1, DOI 10.1016/j.ecoser.2016.12.008
   He Q, 1997, APPL RADIAT ISOTOPES, V48, P677, DOI 10.1016/S0969-8043(96)00302-8
   Hernández-Sancho F, 2010, SCI TOTAL ENVIRON, V408, P953, DOI 10.1016/j.scitotenv.2009.10.028
   HEY DL, 1995, RESTOR ECOL, V3, P4, DOI 10.1111/j.1526-100X.1995.tb00070.x
   Hopkins KG, 2018, J ENVIRON MANAGE, V220, P65, DOI 10.1016/j.jenvman.2018.05.013
   ICF International, 2015, CLIM CHANG AD 2015 U
   Jing SR, 2001, BIORESOURCE TECHNOL, V76, P131, DOI 10.1016/S0960-8524(00)00100-0
   Kamman Hydrology & Engineering, 2016, MCINNIS MARSH REST P
   Kamman Hydrology & Engineering, 2004, GALL CREEK REST FEAS
   Konishi H., 2003, REITHRODONTOMYS MEGA
   Land M, 2013, ENVIRON EVID, V2, DOI 10.1186/2047-2382-2-16
   Leventhal R., 2015, TECHNICAL MEMORANDUM
   Li CY, 2015, J ENVIRON MANAGE, V151, P310, DOI 10.1016/j.jenvman.2015.01.011
   Little JC, 2019, ENVIRON MODELL SOFTW, V112, P82, DOI 10.1016/j.envsoft.2018.11.011
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Lumina Decision Systems, 2019, ANALYTICA
   Mason S., 2018, Ecosystem Services Conceptual Model Application: NOAA and NERRS Salt Marsh Habitat Restoration. National Ecosystem Services Partnership Conceptual Model Series No. 3
   Mason S. A., 2018, NATL ECOSYSTEM SERVI
   MRLC, 2019, NAT LAND COV DAT 201
   National Center for Environmental Economics (NCEE) United States Environmental Protection Agency, 2010, DISC FUT BEN COSTS G
   Nordhaus WD, 2017, P NATL ACAD SCI USA, V114, P1518, DOI 10.1073/pnas.1609244114
   Novick, 2014, EXTERNAL NUTR LOADS
   Novotny V., 1994, Water Quality: Prevention, Identification, and Management of Diffuse Pollution
   Olander LP, 2018, ECOL INDIC, V85, P1262, DOI 10.1016/j.ecolind.2017.12.001
   Pearl J., 1995, 11 C UNC ART INT MON
   QGIS, 2020, QGIS Geographic Information System
   Reichert P, 2005, ENVIRON MODELL SOFTW, V20, P991, DOI 10.1016/j.envsoft.2004.10.005
   Rosa EA, 1998, INT SOCIOL, V13, P421, DOI 10.1177/026858098013004002
   Russell M., 2013, NEIGHBORHOOD SCALE Q
   Sahr R., 2018, CONSUMER PRICE INDEX
   Schaider LA, 2016, SCI TOTAL ENVIRON, V547, P470, DOI 10.1016/j.scitotenv.2015.12.081
   Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x
   Sharp R., 2018, INVEST 3 7 0 POST17
   South Bay Salt Pond Restoration Project, 2015, 2014 ANN REP
   Spautz Hildie, 2006, Studies in Avian Biology, P247
   Stark J, 2015, LIMNOL OCEANOGR, V60, P1371, DOI 10.1002/lno.10104
   State of California Department of Finance, 2018, POP EST CIT COUNT ST
   State of California Department of Water Resources (CA DWR), 2012, COST EST
   Stralberg D, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027388
   Sustaita D, 2011, J WILDLIFE MANAGE, V75, P1498, DOI 10.1002/jwmg.187
   Tallis H., 2017, Bridge Collaborative Practitioner's Guide: Principles and Guidance for Cross-sector Action Planning and Evidence Evaluation
   Tang C.Q., 2006, Web Ecology, V6, P88, DOI DOI 10.5194/WE-6-88-2006
   United States Army Corps of Engineers (US ACE), 2016, 1703 US ACE
   United States Army Corps of Engineers (US ACE), 2013, GALL CREEK HYDR HYDR
   United States Forest Service, 2012, NAT FOR SYST LAND MA
   Veloz S., 2014, FUTURE SAN FRANCISCO
   Vymazal J, 2007, SCI TOTAL ENVIRON, V380, P48, DOI 10.1016/j.scitotenv.2006.09.014
   Walton WE, 1998, J AM MOSQUITO CONTR, V14, P95
   Widney S, 2018, WETL ECOL MANAG, V26, P265, DOI 10.1007/s11273-017-9569-4
   Yang H, 2017, P NATL ACAD SCI USA, V114, pE4612, DOI 10.1073/pnas.1705499114
   Yang W, 2008, ECOL ECON, V68, P116, DOI 10.1016/j.ecolecon.2008.02.008
NR 81
TC 20
Z9 24
U1 3
U2 87
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0416
J9 ECOSYST SERV
JI Ecosyst. Serv.
PD OCT
PY 2019
VL 39
AR 101007
DI 10.1016/j.ecoser.2019.101007
PG 12
WC Ecology; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JA4TY
UT WOS:000487830600038
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Rudman, SM
   Greenblum, S
   Hughes, RC
   Rajpurohit, S
   Kiratli, O
   Lowder, DB
   Lemmon, SG
   Petrov, DA
   Chaston, JM
   Schmidt, P
AF Rudman, Seth M.
   Greenblum, Sharon
   Hughes, Rachel C.
   Rajpurohit, Subhash
   Kiratli, Ozan
   Lowder, Dallin B.
   Lemmon, Skyler G.
   Petrov, Dmitri A.
   Chaston, John M.
   Schmidt, Paul
TI Microbiome composition shapes rapid genomic adaptation of <i>Drosophila
   melanogaster</i>
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE microbiome; rapid evolution; genomics of adaptation; Drosophila
   melanogaster
ID AMINO-ACID POLYMORPHISM; LIFE-HISTORY; POPULATION GENOMICS; CLIMATIC
   ADAPTATION; GUT MICROBIOTA; WIDE PATTERNS; EVOLUTION; DIET; SELECTION;
   DYNAMICS
AB Population genomic data has revealed patterns of genetic variation associated with adaptation in many taxa. Yet understanding the adaptive process that drives such patterns is challenging; it requires disentangling the ecological agents of selection, determining the relevant timescales over which evolution occurs, and elucidating the genetic architecture of adaptation. Doing so for the adaptation of hosts to their microbiome is of particular interest with growing recognition of the importance and complexity of host-microbe interactions. Here, we track the pace and genomic architecture of adaptation to an experimental microbiome manipulation in replicate populations of Drosophila melanogaster in field mesocosms. Shifts in microbiome composition altered population dynamics and led to divergence between treatments in allele frequencies, with regions showing strong divergence found on all chromosomes. Moreover, at divergent loci previously associated with adaptation across natural populations, we found that the more common allele in fly populations experimentally enriched for a certain microbial group was also more common in natural populations with high relative abundance of that microbial group. These results suggest that microbiomes may be an agent of selection that shapes the pattern and process of adaptation and, more broadly, that variation in a single ecological factor within a complex environment can drive rapid, polygenic adaptation over short timescales.
C1 [Rudman, Seth M.; Rajpurohit, Subhash; Kiratli, Ozan; Schmidt, Paul] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
   [Greenblum, Sharon; Petrov, Dmitri A.] Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
   [Hughes, Rachel C.; Lowder, Dallin B.; Lemmon, Skyler G.; Chaston, John M.] Brigham Young Univ, Dept Plant & Wildlife Sci, Provo, UT 84602 USA.
C3 University of Pennsylvania; Stanford University; Brigham Young
   University
RP Rudman, SM (corresponding author), Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
EM srudman@sas.upenn.edu
RI Rajpurohit, Subhash/O-9912-2018; KIRATLI, Ozan/I-6167-2015
OI Lemmon, Skyler/0000-0002-3946-4334; Schmidt, Paul/0000-0002-8076-6705;
   Greenblum, Sharon/0000-0001-6148-3016; Rudman, Seth/0000-0001-5816-2801
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
   [Anonymous], BROAD GEOGRAPHIC SAM
   [Anonymous], 2000, The ecology of adaptive radiation
   [Anonymous], MICROBIOTA INFLUENCE
   [Anonymous], NATURAL SELECTION WI
   [Anonymous], 2018, PEER J PREPRINTS
   Asiimwe P, 2014, BASIC APPL ECOL, V15, P507, DOI 10.1016/j.baae.2014.08.005
   Auwera G A., 2013, Curr. Protoc. Bioinforma., V43, DOI 10.1002/0471250953.2013. 43.issue-1
   Barrett RDH, 2019, SCIENCE, V363, P499, DOI 10.1126/science.aav3824
   Benjamini Y, 2001, ANN STAT, V29, P1165
   Benkman CW, 2013, ECOL LETT, V16, P1054, DOI 10.1111/ele.12138
   BERENBAUM M, 1981, SCIENCE, V212, P927, DOI 10.1126/science.212.4497.927
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Bolnick DI, 2014, ECOL LETT, V17, P979, DOI 10.1111/ele.12301
   Boyle EA, 2017, CELL, V169, P1177, DOI 10.1016/j.cell.2017.05.038
   Bradley D, 2017, SCIENCE, V358, P925, DOI 10.1126/science.aao3526
   Broad Institute, 2018, PIC TOOLS
   Brooks AW, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.2000225
   Buchner P., 1953, Endosymbiose der Tiere mit Pflanzlichen Mikroorganismen
   Bushnell B., 2014, BBMAP FAST ACCURATE
   Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
   Chaston JM, 2014, MBIO, V5, DOI 10.1128/mBio.01631-14
   Clark ME, 2005, GENETICS, V170, P1667, DOI 10.1534/genetics.104.038901
   Corbett-Detig RB, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003056
   Costello M, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-018-4703-0
   Dobzhansky T., 1950, American Scientist, V38, P209
   Douglas AE, 2016, NAT REV MICROBIOL, V14, P731, DOI 10.1038/nrmicro.2016.151
   EHRLICH PR, 1964, EVOLUTION, V18, P586, DOI 10.2307/2406212
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Feder AF, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048588
   Feldhaar H, 2011, ECOL ENTOMOL, V36, P533, DOI 10.1111/j.1365-2311.2011.01318.x
   Gaulke CA, 2018, MBIO, V9, DOI 10.1128/mBio.01348-18
   Gompert Z, 2014, ECOL LETT, V17, P369, DOI 10.1111/ele.12238
   Gould AL, 2018, P NATL ACAD SCI USA, V115, pE11951, DOI 10.1073/pnas.1809349115
   Groussin M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14319
   Harmon LJ, 2019, J EVOLUTION BIOL, V32, P769, DOI 10.1111/jeb.13477
   Hongoh Y, 2008, P NATL ACAD SCI USA, V105, P5555, DOI 10.1073/pnas.0801389105
   Hoskins RA, 2007, SCIENCE, V316, P1625, DOI 10.1126/science.1139816
   Jiang HS, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-182
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Judd AM, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00662-18
   Kapun M, 2016, MOL BIOL EVOL, V33, P1317, DOI 10.1093/molbev/msw016
   Kapun M, 2014, MOL ECOL, V23, P1813, DOI 10.1111/mec.12594
   Keebaugh ES, 2018, ISCIENCE, V4, P247, DOI 10.1016/j.isci.2018.06.004
   Kofler R, 2011, BIOINFORMATICS, V27, P3435, DOI 10.1093/bioinformatics/btr589
   Kohl KD, 2018, J ANIM ECOL, V87, P323, DOI 10.1111/1365-2656.12692
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Koyle ML, 2016, JOVE-J VIS EXP, DOI 10.3791/54219
   Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
   Kuhn RM, 2013, BRIEF BIOINFORM, V14, P144, DOI 10.1093/bib/bbs038
   Langley CH, 2012, GENETICS, V192, P533, DOI 10.1534/genetics.112.142018
   Ley RE, 2008, SCIENCE, V320, P1647, DOI 10.1126/science.1155725
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Long A, 2015, NAT REV GENET, V16, P567, DOI 10.1038/nrg3937
   Machado HE, 2016, MOL ECOL, V25, P723, DOI 10.1111/mec.13446
   Macke E, 2017, OIKOS, V126, P508, DOI 10.1111/oik.03900
   Mandal Siddhartha, 2015, Microbial Ecology in Health and Disease, V26, P27663, DOI 10.3402/mehd.v26.27663
   McFall-Ngai M, 2013, P NATL ACAD SCI USA, V110, P3229, DOI 10.1073/pnas.1218525110
   Messer PW, 2016, TRENDS GENET, V32, P408, DOI 10.1016/j.tig.2016.04.005
   Messer PW, 2013, TRENDS ECOL EVOL, V28, P659, DOI 10.1016/j.tree.2013.08.003
   Miller SE, 2019, CURR BIOL, V29, P530, DOI 10.1016/j.cub.2018.12.044
   Moghadam NN, 2018, FLY, V12, P1, DOI 10.1080/19336934.2017.1394558
   Moran NA, 2000, CURR OPIN MICROBIOL, V3, P270, DOI 10.1016/S1369-5274(00)00088-6
   Muegge BD, 2011, SCIENCE, V332, P970, DOI 10.1126/science.1198719
   Newell PD, 2014, APPL ENVIRON MICROB, V80, P788, DOI 10.1128/AEM.02742-13
   Nosil P, 2018, SCIENCE, V359, P765, DOI 10.1126/science.aap9125
   Obadia B, 2018, P NATL ACAD SCI USA, V115, pE4547, DOI 10.1073/pnas.1804948115
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Pedersen BS, 2018, BIOINFORMATICS, V34, P867, DOI 10.1093/bioinformatics/btx699
   Rajpurohit S, 2017, J EVOLUTION BIOL, V30, P66, DOI 10.1111/jeb.12988
   Rajpurohit S, 2018, MOL ECOL, V27, P3525, DOI 10.1111/mec.14814
   REZNICK DA, 1990, NATURE, V346, P357, DOI 10.1038/346357a0
   Reznick DN, 2019, ECOL LETT, V22, P233, DOI 10.1111/ele.13189
   Rosenberg E, 2016, MBIO, V7, DOI 10.1128/mBio.01395-15
   Rudman SM, 2018, NAT ECOL EVOL, V2, P9, DOI 10.1038/s41559-017-0385-2
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schlötterer C, 2014, NAT REV GENET, V15, P749, DOI 10.1038/nrg3803
   SCHLUTER D, 1994, SCIENCE, V266, P798, DOI 10.1126/science.266.5186.798
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Semova I, 2012, CELL HOST MICROBE, V12, P277, DOI 10.1016/j.chom.2012.08.003
   Sevellec M, 2014, J EVOLUTION BIOL, V27, P1029, DOI 10.1111/jeb.12374
   Sevellec M, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0427-2
   Shapira M, 2016, TRENDS ECOL EVOL, V31, P539, DOI 10.1016/j.tree.2016.03.006
   Sharon G, 2010, P NATL ACAD SCI USA, V107, P20051, DOI 10.1073/pnas.1009906107
   Sharpton TJ, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00174-17
   Shin SC, 2011, SCIENCE, V334, P670, DOI 10.1126/science.1212782
   Simhadri RK, 2017, MSPHERE, V2, DOI [10.1128/mSphere.00287-17, 10.1128/msphere.00287-17]
   Stapley J, 2010, TRENDS ECOL EVOL, V25, P705, DOI 10.1016/j.tree.2010.09.002
   Storelli G, 2011, CELL METAB, V14, P403, DOI 10.1016/j.cmet.2011.07.012
   Sullam KE, 2015, ISME J, V9, P1508, DOI 10.1038/ismej.2014.231
   Tremaroli V, 2012, NATURE, V489, P242, DOI 10.1038/nature11552
   Trevelline BK, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2018.2448
   Turnbaugh PJ, 2006, NATURE, V444, P1027, DOI 10.1038/nature05414
   Turnbaugh PJ, 2009, SCI TRANSL MED, V1, DOI 10.1126/scitranslmed.3000322
   Van Valen L, 1973, Evol Theory, V1, P1
   Wang J, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7440
   Wiberg RAW, 2017, METHODS ECOL EVOL, V8, P1899, DOI 10.1111/2041-210X.12810
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
   Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
   Zilber-Rosenberg I, 2008, FEMS MICROBIOL REV, V32, P723, DOI 10.1111/j.1574-6976.2008.00123.x
NR 103
TC 86
Z9 98
U1 3
U2 50
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD OCT 1
PY 2019
VL 116
IS 40
BP 20025
EP 20032
DI 10.1073/pnas.1907787116
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA JB8NR
UT WOS:000488828000045
PM 31527278
OA Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Van Etten, J
   Beza, E
   Calderer, L
   Van Duijvendijk, K
   Fadda, C
   Fantahun, B
   Kidane, YG
   Van de Gevel, J
   Gupta, A
   Mengistu, DK
   Kiambi, D
   Mathur, PN
   Mercado, L
   Mittra, S
   Mollel, MJ
   Rosas, JC
   Steinke, J
   Suchini, JG
   Zimmerer, KS
AF Van Etten, Jacob
   Beza, Eskender
   Calderer, Lluis
   Van Duijvendijk, Kees
   Fadda, Carlo
   Fantahun, Basazen
   Kidane, Yosef Gebrehawaryat
   Van de Gevel, Jeske
   Gupta, Arnab
   Mengistu, Dejene Kassahun
   Kiambi, Dan
   Mathur, Prem Narain
   Mercado, Leida
   Mittra, Sarika
   Mollel, Margaret J.
   Rosas, Juan Carlos
   Steinke, Jonathan
   Suchini, Jose Gabriel
   Zimmerer, Karl S.
TI FIRST EXPERIENCES WITH A NOVEL FARMER CITIZEN SCIENCE APPROACH:
   CROWDSOURCING PARTICIPATORY VARIETY SELECTION THROUGH ON-FARM TRIADIC
   COMPARISONS OF TECHNOLOGIES (TRICOT)
SO EXPERIMENTAL AGRICULTURE
LA English
DT Article
ID AFRICA; RICE
AB Rapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance. Since the combinations of three technologies overlap, statistical methods can piece together the overall performance ranking of the complete pool of technologies. The tricot approach affords wide scaling, as the distribution of trial packages and instruction sessions is relatively easy to execute, farmers do not need to be organized in collaborative groups, and feedback is easy to collect, even by phone. The tricot approach provides interpretable, meaningful results and was widely accepted by farmers. The methodology underwent improvement in data input formats. A number of methodological issues remain: integrating environmental analysis, capturing gender-specific differences, stimulating farmers' motivation, and supporting implementation with an integrated digital platform. Future studies should apply the tricot approach to a wider range of technologies, quantify its potential contribution to climate adaptation, and embed the approach in appropriate institutions and business models, empowering participants and democratizing science.
C1 [Van Etten, Jacob; Calderer, Lluis; Steinke, Jonathan] CATIE, Biovers Int, Turrialba 7170, Costa Rica.
   [Beza, Eskender] Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
   [Van Duijvendijk, Kees] Wageningen Univ & Res, Green Econ & Land Use Wageningen Econ Res, Alexanderveld 5, NL-2585 DB The Hague, Netherlands.
   [Fadda, Carlo; Kidane, Yosef Gebrehawaryat] ILRI, Biovers Int, POB 5689, Addis Ababa, Ethiopia.
   [Fantahun, Basazen] Ethiopian Biodivers Inst, POB 30726, Addis Ababa, Ethiopia.
   [Kidane, Yosef Gebrehawaryat] Scuola Super Sant Anna, Pisa, Italy.
   [Van de Gevel, Jeske] ICRAF, Biovers Int, POB 30677, Nairobi 00100, Kenya.
   [Gupta, Arnab; Mathur, Prem Narain; Mittra, Sarika] Biovers Int, G-1,B Block,NASC Complex,DPS Marg,Pusa Campus, New Delhi 110012, India.
   [Mengistu, Dejene Kassahun] Mekelle Univ, Dept Dryland Crop & Hort Sci, POB 231, Mekelle, Ethiopia.
   [Kiambi, Dan] ABCIC, POB 100882-00101,Keiyo Chemilil Rd,Parklands, Nairobi, Kenya.
   [Mercado, Leida] Trop Agr Res & Higher Educ Ctr CATIE, Turrialba 7170, Costa Rica.
   [Mittra, Sarika] Univ Wisconsin, Dept Forest & Wildlife Ecol, 1630 Linden Dr Madison, Madison, WI 53706 USA.
   [Mollel, Margaret J.] Natl Plant Genet Resources Ctr, POB 3024, Arusha, Tanzania.
   [Rosas, Juan Carlos] Zamorano Panamer Agr Sch, Apartado Postal 93, Tegucigalpa 11101, Honduras.
   [Steinke, Jonathan] Humboldt Univ, Thaer Inst, Dept Agr Econ, Linden 6, D-10099 Berlin, Germany.
   [Suchini, Jose Gabriel] Trop Agr Res & Higher Educ Ctr CATIE, 1 Av 7-01,Zona 5, Esquipulas, Guatemala.
   [Zimmerer, Karl S.] Penn State Univ, Dept Geog, 302 Walker Bldg, University Pk, PA 16802 USA.
   [Zimmerer, Karl S.] Penn State Univ, Earth & Environm Syst Inst, 302 Walker Bldg, University Pk, PA 16802 USA.
C3 Alliance; Bioversity International; CATIE - Centro Agronomico Tropical
   de Investigacion y Ensenanza; Wageningen University & Research;
   Wageningen University & Research; Alliance; Bioversity International;
   CGIAR; International Livestock Research Institute (ILRI); Scuola
   Superiore Sant'Anna; CGIAR; World Agroforestry (ICRAF); Alliance;
   Bioversity International; Alliance; Bioversity International; Mekelle
   University; CATIE - Centro Agronomico Tropical de Investigacion y
   Ensenanza; University of Wisconsin System; University of Wisconsin
   Madison; Humboldt University of Berlin; Pennsylvania Commonwealth System
   of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania
   State University - University Park; Pennsylvania Commonwealth System of
   Higher Education (PCSHE); Pennsylvania State University; Pennsylvania
   State University - University Park
RP Van Etten, J (corresponding author), CATIE, Biovers Int, Turrialba 7170, Costa Rica.
EM j.vanetten@cgiar.org
RI Mercado, Leida/R-1276-2016; Mengistu, Dejene/HZH-6399-2023
OI van Etten, Jacob/0000-0001-7554-2558; GUPTA, Arnab/0000-0002-5672-5735;
   Kidane, Yosef Gebrehawaryat/0000-0002-6876-7158; Fadda,
   Carlo/0000-0003-3075-6207; Steinke, Jonathan/0000-0001-5742-702X
FU USAID Development Innovation Ventures
FX This article is a contribution to the CGIAR Research Program on Climate
   Change, Agriculture, and Food Security, which is a partnership of CGIAR
   and Future Earth. Further funding was provided by USAID Development
   Innovation Ventures. The views expressed in this document cannot be
   taken to reflect the official opinions of CGIAR, Future Earth or USAID.
CR [Anonymous], THESIS
   [Anonymous], THE WISDOM OF CROWDS
   [Anonymous], THESIS
   [Anonymous], DISCOVERY INNOVATION
   [Anonymous], 2002, QUANT ANAL DATA PART
   [Anonymous], QUANTITATIVE ANAL DA
   [Anonymous], PLOS ONE
   [Anonymous], 2014, USGS SCI CHANG WORLD, DOI DOI 10.3133/DS832
   [Anonymous], AGRONOMY SUSTAINABLE
   Atlin G., 2002, Quantitative analysis of data from participatory methods in plant breeding, P36
   Auguie B., 2017, Miscellaneous Functions for "Grid"Graphics
   Bentley J. W., 1989, Agriculture and Human Values, V6, P25, DOI 10.1007/BF02217666
   BOSTER JS, 1985, ECON BOT, V39, P310, DOI 10.1007/BF02858802
   BOSTER JS, 1986, AM ANTHROPOL, V88, P428, DOI 10.1525/aa.1986.88.2.02a00100
   BRADLEY RA, 1952, BIOMETRIKA, V39, P324, DOI 10.2307/2334029
   Ceccarelli S., 2009, Plant Breeding and farmer participation
   Cook B., 2001, Participation: A new tyranny?
   Deterding S, 2015, HUM-COMPUT INTERACT, V30, P294, DOI 10.1080/07370024.2014.993471
   Dickinson J.L., 2012, CITIZEN SCI PUBLIC P
   Eisenmann T, 2006, HARVARD BUS REV, V84, P92
   Hammond J, 2017, AGR SYST, V151, P225, DOI 10.1016/j.agsy.2016.05.003
   Hand E, 2010, NATURE, V465, P673, DOI 10.1038/465673a
   Hyman G, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00040
   JOHNSON AW, 1972, HUM ECOL, V1, P149, DOI 10.1007/BF01531352
   Joshi KD, 1997, EXP AGR, V33, P335, DOI 10.1017/S0014479797003049
   Joshi KD, 2002, EUPHYTICA, V127, P445, DOI 10.1023/A:1020348620286
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Martin GaryJ., 2004, Ethnobotany: A Methods Manual
   Misiko M, 2013, AGR SYST, V119, P35, DOI 10.1016/j.agsy.2013.04.004
   Mittra S., 2013, Bioversity International
   Mwongera C, 2014, WEATHER CLIM SOC, V6, P341, DOI 10.1175/WCAS-D-13-00034.1
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Richards P, 2007, IDS BULL-I DEV STUD, V38, P21
   ROMNEY AK, 1986, AM ANTHROPOL, V88, P313, DOI 10.1525/aa.1986.88.2.02a00020
   Sumberg J.E., 1997, Farmer's Experiments: Creating Local Knowledge
   Turner H, 2012, J STAT SOFTW, V48, P1
   van Etten J, 2011, IDS BULL-I DEV STUD, V42, P102, DOI 10.1111/j.1759-5436.2011.00240.x
   van Etten J, 2006, J ETHNOBIOL ETHNOMED, V2, DOI 10.1186/1746-4269-2-12
   VANEEUWIJK FA, 1992, THEOR APPL GENET, V85, P89, DOI 10.1007/BF00223849
   Voltas J, 2005, EUR J AGRON, V22, P309, DOI 10.1016/j.eja.2004.04.005
   Weber E.H., 1834, E.H. Weber on the Tactile Senses, V2nd
   Witcombe JR, 2005, EXP AGR, V41, P299, DOI 10.1017/S0014479705002656
   Xu YB, 2016, THEOR APPL GENET, V129, P653, DOI 10.1007/s00122-016-2691-5
   ZIMMERER K S, 1991, Journal of Ethnobiology, V11, P23
NR 44
TC 76
Z9 78
U1 3
U2 44
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 0014-4797
EI 1469-4441
J9 EXP AGR
JI Exp. Agric.
PD JUN
PY 2019
VL 55
SU 1
SI SI
BP 275
EP 296
AR PII S0014479716000739
DI 10.1017/S0014479716000739
PG 22
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA HX9PT
UT WOS:000467741200015
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Salminen, TS
   Vesala, L
   Laiho, A
   Merisalo, M
   Hoikkala, A
   Kankare, M
AF Salminen, Tiina S.
   Vesala, Laura
   Laiho, Asta
   Merisalo, Mikko
   Hoikkala, Anneli
   Kankare, Maaria
TI Seasonal gene expression kinetics between diapause phases in
   <i>Drosophila virilis</i> group species and overwintering differences
   between diapausing and non-diapausing females
SO SCIENTIFIC REPORTS
LA English
DT Article
ID NORTHERN MALT FLY; REPRODUCTIVE DIAPAUSE; CIRCADIAN CLOCK; COLD
   TOLERANCE; COUCH-POTATO; CLIMATIC ADAPTATION; STRESS TOLERANCE; ADULT
   DIAPAUSE; UP-REGULATION; MOSQUITO
AB Most northern insect species experience a period of developmental arrest, diapause, which enables them to survive over the winter and postpone reproduction until favorable conditions. We studied the timing of reproductive diapause and its long-term effects on the cold tolerance of Drosophila montana, D. littoralis and D. ezoana females in seasonally varying environmental conditions. At the same time we traced expression levels of 219 genes in D. montana using a custom-made microarray. We show that the seasonal switch to reproductive diapause occurs over a short time period, and that overwintering in reproductive diapause has long-lasting effects on cold tolerance. Some genes, such as Hsc70, Jon25Bi and period, were upregulated throughout the diapause, while others, including regucalcin, couch potato and Thor, were upregulated only at its specific phases. Some of the expression patterns induced during the sensitive stage, when the females either enter diapause or not, remained induced regardless of the later conditions. qPCR analyses confirmed the findings of the microarray analysis in D. montana and revealed similar gene expression changes in D. littoralis and D. ezoana. The present study helps to achieve a better understanding of the genetic regulation of diapause and of the plasticity of seasonal responses in general.
C1 [Salminen, Tiina S.; Vesala, Laura; Merisalo, Mikko; Hoikkala, Anneli; Kankare, Maaria] Univ Jyvaskyla, Dept Biol & Environm Sci, FI-40014 Jyvaskyla, Finland.
   [Salminen, Tiina S.; Vesala, Laura] Univ Tampere, BioMediTech, FI-33014 Tampere, Finland.
   [Laiho, Asta] Turku Ctr Biotechnol, Finnish DNA Microarray Ctr, Bioinformat Team, FI-20521 Turku, Finland.
C3 University of Jyvaskyla; Tampere University; University of Turku
RP Salminen, TS (corresponding author), Univ Jyvaskyla, Dept Biol & Environm Sci, POB 35, FI-40014 Jyvaskyla, Finland.
EM tiina.s.salminen@uta.fi; maaria.kankare@jyu.fi
OI Salminen, Tiina Susanna/0000-0002-7232-0754; Hoikkala,
   Anneli/0000-0001-5407-7992; Kankare, Maaria/0000-0003-1541-9050; Vesala,
   Laura/0000-0002-7592-9418
FU Finnish Centre of Excellence in Evolutionary Research; Academy of
   Finland [132619, 268214]; Finnish Cultural Foundation; Academy of
   Finland (AKA) [132619, 268214] Funding Source: Academy of Finland (AKA)
FX We thank several colleagues for their very useful discussions and
   suggestions. The work has been supported by The Finnish Centre of
   Excellence in Evolutionary Research, by the Academy of Finland to Anneli
   Hoikkala (project 132619) and to Maaria Kankare (project 268214) and by
   the Finnish Cultural Foundation to Tiina S. Salminen.
CR ASPI J, 1993, ECOGRAPHY, V16, P65, DOI 10.1111/j.1600-0587.1993.tb00059.x
   Baker DA, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-242
   Blenau W, 2001, ARCH INSECT BIOCHEM, V48, P13, DOI 10.1002/arch.1055
   Boothroyd CE, 2007, PLOS GENET, V3, DOI 10.1371/journal.pgen.0030054
   Burton T, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0311
   Currie J, 2009, BMC BIOL, V7, DOI 10.1186/1741-7007-7-49
   David RJ, 1998, J THERM BIOL, V23, P291, DOI 10.1016/S0306-4565(98)00020-5
   De Luca M, 2003, NAT GENET, V34, P429, DOI 10.1038/ng1218
   Garbuz D, 2003, J EXP BIOL, V206, P2399, DOI 10.1242/jeb.00429
   Gentleman RC, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-10-r80
   Gibert P, 2001, EVOLUTION, V55, P1063, DOI 10.1554/0014-3820(2001)055[1063:CCTAMC]2.0.CO;2
   Ikeno T, 2010, BMC BIOL, V8, DOI 10.1186/1741-7007-8-116
   Junger Martin A, 2003, J Biol, V2, P20, DOI 10.1186/1475-4924-2-20
   Kankare M, 2012, J INSECT PHYSIOL, V58, P256, DOI 10.1016/j.jinsphys.2011.11.016
   Kankare Maaria, 2010, BMC Ecology, V10, P3, DOI 10.1186/1472-6785-10-3
   Kaygun H, 2005, MOL CELL BIOL, V25, P6879, DOI 10.1128/MCB.25.16.6879-6888.2005
   Keall R, 2007, BMC MOL BIOL, V8, DOI 10.1186/1471-2199-8-51
   Kellermann V, 2012, EVOLUTION, V66, P3377, DOI 10.1111/j.1558-5646.2012.01685.x
   Kim M, 2006, J INSECT PHYSIOL, V52, P1226, DOI 10.1016/j.jinsphys.2006.09.007
   Kostál V, 2006, J INSECT PHYSIOL, V52, P113, DOI 10.1016/j.jinsphys.2005.09.008
   LANKINEN P, 1986, J COMP PHYSIOL A, V159, P123, DOI 10.1007/BF00612503
   Lankinen P, 2013, J INSECT PHYSIOL, V59, P745, DOI 10.1016/j.jinsphys.2013.05.006
   Lee R. E., LOW TEMPERATURE BIOL, P4
   Lumme J., 1978, P145
   MacRae TH, 2010, CELL MOL LIFE SCI, V67, P2405, DOI 10.1007/s00018-010-0311-0
   Majercak J, 1999, NEURON, V24, P219, DOI 10.1016/S0896-6273(00)80834-X
   Marygold SJ, 2013, NUCLEIC ACIDS RES, V41, pD751, DOI 10.1093/nar/gks1024
   Pigliucci M, 2006, J EXP BIOL, V209, P2362, DOI 10.1242/jeb.02070
   Poelchau MF, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-619
   Puig O, 2003, GENE DEV, V17, P2006, DOI 10.1101/gad.1098703
   Ragland GJ, 2011, J EXP BIOL, V214, P3948, DOI 10.1242/jeb.061085
   Ragland GJ, 2010, P NATL ACAD SCI USA, V107, P14909, DOI 10.1073/pnas.1007075107
   RAUSCHENBACH IY, 1993, J INSECT PHYSIOL, V39, P761, DOI 10.1016/0022-1910(93)90051-R
   Rinehart JP, 2007, P NATL ACAD SCI USA, V104, P11130, DOI 10.1073/pnas.0703538104
   Rogers AS, 2004, GENETICA, V120, P213, DOI 10.1023/B:GENE.0000017642.76095.25
   Salih DAM, 2008, CURR OPIN CELL BIOL, V20, P126, DOI 10.1016/j.ceb.2008.02.005
   Salminen TS, 2013, J INSECT PHYSIOL, V59, P450, DOI 10.1016/j.jinsphys.2013.02.005
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Short SM, 2013, G3-GENES GENOM GENET, V3, P827, DOI 10.1534/g3.112.005306
   Sim C, 2008, P NATL ACAD SCI USA, V105, P6777, DOI 10.1073/pnas.0802067105
   Teleman AA, 2005, GENE DEV, V19, P1844, DOI 10.1101/gad.341505
   Tettweiler G, 2005, GENE DEV, V19, P1840, DOI 10.1101/gad.1311805
   Throckmorton L.H., 1982, Genetics and Biology of Drosophila, V3b, P227
   Tyukmaeva VI, 2011, ECOL EVOL, V1, P160, DOI 10.1002/ece3.14
   Vanin S, 2012, NATURE, V484, P371, DOI 10.1038/nature10991
   Vesala L, 2012, J INSECT PHYSIOL, V58, P704, DOI 10.1016/j.jinsphys.2012.02.004
   Vesala L, 2012, INSECT MOL BIOL, V21, P107, DOI 10.1111/j.1365-2583.2011.01119.x
   Vesala L, 2012, J EXP BIOL, V215, P2891, DOI 10.1242/jeb.069948
   Vesala L, 2011, J INSECT PHYSIOL, V57, P46, DOI 10.1016/j.jinsphys.2010.09.007
   WATABE H-A, 1983, Kontyu, V51, P628
   Wolschin F, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006394
   Yamada H, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027493
   Yoshii T, 2009, J BIOL RHYTHM, V24, P452, DOI 10.1177/0748730409348551
   Zhang QR, 2011, J INSECT PHYSIOL, V57, P620, DOI 10.1016/j.jinsphys.2011.02.003
NR 54
TC 46
Z9 50
U1 0
U2 34
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUN 11
PY 2015
VL 5
AR 11197
DI 10.1038/srep11197
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA CK3DZ
UT WOS:000356098100001
PM 26063442
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Keenan, JM
AF Keenan, Jesse M.
TI Adaptive capacity of commercial real estate firms in New York City to
   urban flooding
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptive capacity; climate adaptation; corporate strategies; floods;
   private sector; real estate
ID CLIMATE-CHANGE; BUILDING SECTOR; ADAPTATION; IMPACTS; FUTURE;
   VULNERABILITY; AGRICULTURE; VARIABILITY; PERCEPTIONS; INSURANCE
AB This article examines the adaptive capacities of real estate firms in New York City in light of the increased risks of urban flooding. This exploratory research attempts to shed light on how and why firms of varying risk profiles are strategically adapting to these risks - if at all. Through the lens of a qualitative multi-criteria adaptive capacity framework, the results of six case studies are analyzed to identify what influences are shaping the actions and strategies of firms. The article examines the propositions that: (A) firms with observable strategies have undertaken ex post strategies which are principally driven by the firms' financial bottom line; (B) firm strategies attribute little to no influence in their decisions to external or delayed costs and/or impacts relating to social and environmental influences; and, (C) firms with the comparatively most robust adaptive capacities will be those who: (i) are most aware of their vulnerabilities; and (ii) are themselves comparatively more vulnerable to the immediate risks associated with urban flooding. While the evidence largely supports the propositions, the results of this research can help shape the development of intelligence and strategic units within firms as they develop a capacity to adapt to ever changing conditions.
C1 Columbia Univ, Ctr Urban Real Estate, New York, NY 10025 USA.
C3 Columbia University
RP Keenan, JM (corresponding author), Columbia Univ, Ctr Urban Real Estate, 409 Avery Hall,1172 Amsterdam Ave, New York, NY 10025 USA.
EM jesse.keenan@columbia.edu
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2013, CLIM RISK INF 2013 O
   [Anonymous], SKYSCRAPER DREAMS GR
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Bansal P., 2008, ADAPTING CLIMATE CHA
   Berkhout F., 2004, Technical Report 11
   Bleda M., 2007, ECOLOGICAL EC, V66, P517
   Botzen WJW, 2008, RISK ANAL, V28, P413, DOI 10.1111/j.1539-6924.2008.01035.x
   de Graaf RE, 2007, WATER SCI TECHNOL, V56, P165, DOI 10.2166/wst.2007.548
   Dul j., 2008, Case Study Methodology in Business Research, VFirst
   Elsasser H, 2002, CLIMATE RES, V20, P253, DOI 10.3354/cr020253
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Federal Emergency Management Agency, 2013, MOTF HURR SAND IMP A
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Fuss S, 2012, ENERG POLICY, V40, P59, DOI 10.1016/j.enpol.2010.06.061
   Gössling S, 2006, CLIMATIC CHANGE, V79, P163, DOI 10.1007/s10584-006-9081-y
   Graetz D., 1997, APPL FRAMEWORKS ASSE
   Graves H. M., 2002, BUILD RES INF, V30, P143
   Haites E, 2011, CLIM POLICY, V11, P963, DOI 10.1080/14693062.2011.582292
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hasegawa T, 2004, BUILD RES INF, V32, P61, DOI 10.1080/0961321032000148488
   Hennessy KJ, 2008, CLIM RES, V35, P255, DOI 10.3354/cr00706
   Hertin J, 2003, BUILD RES INF, V31, P278, DOI 10.1080/0961321032000097683
   Hoffmann VH, 2009, GLOBAL ENVIRON CHANG, V19, P256, DOI 10.1016/j.gloenvcha.2008.12.002
   Horbulyk T. M., 2005, Canadian Water Resources Journal, V30, P55
   Howe KR, 2012, J MIX METHOD RES, V6, P89, DOI 10.1177/1558689812437187
   Huang YF, 2005, EXPERT SYST APPL, V29, P817, DOI 10.1016/j.eswa.2005.06.020
   Hurd B J., 1997, The impacts of climate change on the United States economy, P133
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Linneman P., 1997, WHARTON REAL ESTATE, V5, P5
   Liso KR, 2006, BUILD RES INF, V34, P1, DOI 10.1080/09613210500356022
   Mayor's Office of the City of New York, 2013, REP SPEC IN REB RES
   Mearns LO, 1997, CLIMATIC CHANGE, V35, P367, DOI 10.1023/A:1005358130291
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn R, 2000, CLIMATIC CHANGE, V45, P583, DOI 10.1023/A:1005507810350
   Miller R., 2009, COMMERCIAL REAL ESTA
   Milne J, 2004, BUILD RES INF, V32, P48, DOI 10.1080/09613210310001634983
   Nitkin D., 2009, Business adaptation to climate change
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   ROSENHEAD J, 1972, OPER RES QUART, V23, P413, DOI 10.2307/3007957
   Schneider SH, 2000, CLIMATIC CHANGE, V45, P203, DOI 10.1023/A:1005657421149
   Shimoda Y, 2003, BUILD RES INF, V31, P222, DOI 10.1080/0961321032000097647
   Shipworth D, 2007, BUILD RES INF, V35, P478, DOI 10.1080/09613210701330123
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Smithers J, 2001, APPL GEOGR, V21, P175, DOI 10.1016/S0143-6228(01)00004-2
   Subak S, 2000, WATER RESOUR MANAG, V14, P137, DOI 10.1023/A:1008114231502
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Weinhofer G, 2013, BUS STRATEG ENVIRON, V22, P121, DOI 10.1002/bse.1744
   Wengraff Tom., 2001, Qualitative Research Interviewing
   Yang X, 2007, CLIMATIC CHANGE, V84, P45, DOI 10.1007/s10584-007-9265-0
   Yin R., 2010, QUALITATIVE RES STAR
NR 52
TC 8
Z9 13
U1 1
U2 16
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 2015
VL 6
IS 3
BP 486
EP 500
DI 10.2166/wcc.2015.097
PG 15
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA CQ9ER
UT WOS:000360915600006
DA 2025-01-10
ER

PT J
AU Stainforth, DA
   Chapman, SC
   Watkins, NW
AF Stainforth, David A.
   Chapman, Sandra C.
   Watkins, Nicholas W.
TI Mapping climate change in European temperature distributions
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate; thresholds; distributions; quantiles; climate change; regional
   climate change; observations; climate adaptation; climate impacts
ID SUPPORT
AB Climate change poses challenges for decision makers across society, not just in preparing for the climate of the future but even when planning for the climate of the present day. When making climate sensitive decisions, policy makers and adaptation planners would benefit from information on local scales and for user-specific quantiles (e. g. the hottest/coldest 5% of days) and thresholds (e. g. days above 28 degrees C), not just mean changes. Here, we translate observations of weather into observations of climate change, providing maps of the changing shape of climatic temperature distributions across Europe since 1950. The provision of such information from observations is valuable to support decisions designed to be robust in today's climate, while also providing data against which climate forecasting methods can be judged and interpreted. The general statement that the hottest summer days are warming faster than the coolest is made decision relevant by exposing how the regions of greatest warming are quantile and threshold dependent. In a band from Northern France to Denmark, where the response is greatest, the hottest days in the temperature distribution have seen changes of at least 2 degrees C, over four times the global mean change over the same period. In winter the coldest nights are warming fastest, particularly in Scandinavia.
C1 [Stainforth, David A.] London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AE, England.
   [Stainforth, David A.; Watkins, Nicholas W.] London Sch Econ, Ctr Anal Timeseries, London WC2A 2AE, England.
   [Stainforth, David A.; Chapman, Sandra C.; Watkins, Nicholas W.] Univ Warwick, Dept Phys, Coventry CV4 7AL, W Midlands, England.
   [Chapman, Sandra C.] Univ Tromso, Dept Math & Stat, NO-9037 Tromso, Norway.
   [Watkins, Nicholas W.] British Antarctic Survey, Cambridge CB3 0ET, England.
   [Stainforth, David A.] Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England.
C3 University of London; London School Economics & Political Science;
   University of London; London School Economics & Political Science;
   University of Warwick; UiT The Arctic University of Tromso; UK Research
   & Innovation (UKRI); Natural Environment Research Council (NERC); NERC
   British Antarctic Survey; University of Oxford
RP Stainforth, DA (corresponding author), London Sch Econ, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England.
EM d.a.stainforth@lse.ac.uk
RI ; Watkins, Nicholas/C-5140-2008; Chapman, Sandra/C-2216-2008
OI Stainforth, David/0000-0001-6476-733X; Watkins,
   Nicholas/0000-0003-4484-6588; Chapman, Sandra/0000-0003-0053-1584
FU Grantham Research Institute on Climate Change and the Environment;
   Centre for Climate Change Economics and Policy; ESRC; Munich Re; UK
   STFC; EPSRC; NERC; BAS as part of the British Antarctic Survey Polar
   Science for Planet Earth Programme; UK NERC; EPSRC [EP/D062837/1,
   EP/H02395X/1] Funding Source: UKRI; ESRC [ES/K006576/1] Funding Source:
   UKRI; NERC [NE/G015392/1, bas0100026] Funding Source: UKRI; STFC
   [ST/I000720/1, ST/F00205X/1] Funding Source: UKRI
FX We acknowledge the E-OBS dataset from the EU-FP6 project ENSEMBLES
   (http://ensembles-eu.metoffice.com) and the data providers in the EC&D
   project (http://eca.knmi.nl). DAS acknowledges the support of the
   Grantham Research Institute on Climate Change and the Environment and
   the Centre for Climate Change Economics and Policy funded by the ESRC
   and Munich Re. This work was supported by the UK STFC, the EPSRC, the
   NERC, and at BAS as part of the British Antarctic Survey Polar Science
   for Planet Earth Programme funded by the UK NERC.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], 2006, Guide A: Environmental Design
   [Anonymous], 2005, TM36 CLIM CHANG IND
   [Anonymous], 2011, CLIM KNOWL ACT GLOB
   [Anonymous], 2012, UK Climate Change Risk Assessment: Government Report
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Carpenter TM, 1999, J HYDROL, V224, P21, DOI 10.1016/S0022-1694(99)00115-8
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Chambers DP, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052885
   Chapman SC, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0287
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hofstra N, 2010, CLIM DYNAM, V35, P841, DOI 10.1007/s00382-009-0698-1
   Hofstra N, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD011799
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Jones P., 2009, UK CLIMATE PROJECTIO
   Lobell DB, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/3/034007
   Mills E, 2005, SCIENCE, V309, P1040, DOI 10.1126/science.1112121
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Min E, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014011
   Moen J., 2007, Journal of Sustainable Tourism, V15, P418, DOI 10.2167/jost624.0
   PARKER DE, 1992, INT J CLIMATOL, V12, P317, DOI 10.1002/joc.3370120402
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   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]
   Reich BJ, 2012, J ROY STAT SOC C, V61, P535, DOI 10.1111/j.1467-9876.2011.01025.x
   Richardson K., 2009, Climate Change: Global Risks Challenges and Decisions, Synthesis Report
   SCHLESINGER ME, 1994, NATURE, V367, P723, DOI 10.1038/367723a0
   Simolo C, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD014088
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Stephenson TS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009127
   Stott PA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017324
   van Oldenborgh GJ, 2009, CLIM PAST, V5, P1, DOI 10.5194/cp-5-1-2009
   Vinnikov KY, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD002007
   Yatagai A, 2012, B AM METEOROL SOC, V93, P1401, DOI 10.1175/BAMS-D-11-00122.1
   Zivin J.G., 2010, Temperature and the allocation of time: Implications for climate change
NR 34
TC 31
Z9 34
U1 49
U2 412
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JUL-SEP
PY 2013
VL 8
IS 3
AR 034031
DI 10.1088/1748-9326/8/3/034031
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 229FL
UT WOS:000325247100037
OA Green Accepted, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Notivol, E
   García-Gil, MR
   Alía, R
   Savolainen, O
AF Notivol, E.
   Garcia-Gil, M. R.
   Alia, R.
   Savolainen, O.
TI Genetic variation of growth rhythm traits in the limits of a latitudinal
   cline in Scots pine
SO CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE
   FORESTIERE
LA English
DT Article
ID QUANTITATIVE TRAITS; HEIGHT GROWTH; NUCLEOTIDE DIVERSITY; CLIMATIC
   ADAPTATION; MOLECULAR MARKERS; SHOOT ELONGATION; FROST HARDINESS; EARLY
   SELECTION; SYLVESTRIS L; BUD SET
AB Scots pine (Pinus sylvestris L.) has the widest distribution of pine species and the populations are locally adapted to very different environmental conditions. Adaptive traits such as those related to growth are optimal for understanding adaptation of populations to local conditions in widely distributed forest species. A study of the timing of Growth during the first growing period of families in four populations from the latitudinal limits of the distribution range was conducted. Individual growth curves were fitted, and a set of variables related to growth rhythm and timing of budset was obtained for genetic analyses. Pooled heritabilities across populations were very high for most of the traits (0.43-1.09), and population differentiation for growth variables showed high values as well (Q(ST) = 0.19-0.71). Phenotypic correlations were higher than genetic ones, and most of them were positives. Even no general patterns of additive variances were found, the high additive genetic variance obtained (14% +/- 8%, mean SE) suggests that additive genetic variance is not the limiting, factor for adaptation to a new optimum within much of the range for these traits. Changes in means, additive Genetic variances, and additive Genetic coefficient of variation by population are also discussed.
C1 CITA DGA, E-50080 Zaragoza, Spain.
   Univ Oulu, Dept Biol, FIN-90014 Oulu, Finland.
   CIFOR INIA, Dpto Sist & Recursos Forestales, E-28040 Madrid, Spain.
   SLU, Dept Forest Genet & Plant Physiol, S-90183 Umea, Sweden.
C3 University of Oulu; Instituto Nacional Investigacion Tecnologia Agraria
   Alimentaria (INIA); Swedish University of Agricultural Sciences
RP Notivol, E (corresponding author), CITA DGA, PO Box 727, E-50080 Zaragoza, Spain.
EM enotivol@aragon.es
RI Garcia-Gil, Rafael/AAE-2321-2020; Alia, Ricardo/B-5160-2011; Notivol,
   Eduardo/D-3045-2011
OI Garcia Gil, Rosario/0000-0002-6834-6708; Alia,
   Ricardo/0000-0002-9426-0967; Notivol, Eduardo/0000-0003-4272-4536
CR AHO ML, 1994, SCAND J FOREST RES, V9, P17, DOI 10.1080/02827589409382808
   Alia R, 2001, FOR SCI, V70, P151
   Alía R, 2001, SILVA FENN, V35, P27, DOI 10.14214/sf.601
   [Anonymous], 1998, Genetics and Analysis of Quantitative Traits (Sinauer)
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   BARTON NH, 1989, ANNU REV GENET, V23, P337, DOI 10.1146/annurev.ge.23.120189.002005
   BEUKER E, 1994, SCAND J FOREST RES, V9, P34, DOI 10.1080/02827589409382810
   BLAKE TJ, 1989, CAN J BOT, V67, P1618, DOI 10.1139/b89-204
   Chuine I, 2001, CAN J FOREST RES, V31, P1444, DOI 10.1139/cjfr-31-8-1444
   Clapham DH, 1999, PLANT MOL BIOL, V40, P669, DOI 10.1023/A:1006204318499
   Clapham DH, 2002, PHYSIOL PLANTARUM, V114, P207, DOI 10.1034/j.1399-3054.2002.1140206.x
   CROW JF, 1976, AM NAT, V110, P207, DOI 10.1086/283060
   Draper NR., 1966, APPL REGRESSION ANAL
   Dvornyk V, 2002, MOL BIOL EVOL, V19, P179, DOI 10.1093/oxfordjournals.molbev.a004070
   Eiche V., 1966, Stud. For. Suec, V36, P1
   Eriksson G., 1980, Stud. For. Suec, V156, P1053
   Falconer D.S., 1996, Quantitative Genetics
   Fekedulegn D, 1999, SILVA FENN, V33, P327, DOI 10.14214/sf.653
   García-Gil MR, 2003, MOL ECOL, V12, P1195, DOI 10.1046/j.1365-294X.2003.01826.x
   Gwaze DP, 2002, THEOR APPL GENET, V105, P526, DOI 10.1007/s00122-002-0892-6
   HOULE D, 1992, GENETICS, V130, P195
   Howe GT, 1996, PHYSIOL PLANTARUM, V97, P95, DOI 10.1111/j.1399-3054.1996.tb00484.x
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   JOHN JA, 1995, CYCLIN COMPUTER GENR
   Karhu A, 1996, THEOR APPL GENET, V93, P215, DOI 10.1007/BF00225748
   Kaya Z, 1997, SILVAE GENET, V46, P73
   KIVISTE A, 2002, MONOGR INIA, V4
   Koskela J., 2000, Journal of Tropical Forest Science, V12, P707
   KOSKI V, 2000, SIST RECURSOS FOR FU, V1, P89
   KREMER A, 1982, CAN J FOREST RES, V12, P893, DOI 10.1139/x82-131
   KREMER A, 1981, ANN SCI FOREST, V38, P355, DOI 10.1051/forest:19810304
   MACIEJ G, 1991, GENETICS SCOTS PINE
   MAGNUSSEN S, 1989, CAN J FOREST RES, V19, P962, DOI 10.1139/x89-148
   MAGNUSSEN S, 1993, SILVAE GENET, V42, P322
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   McKay JK, 2002, TRENDS ECOL EVOL, V17, P285, DOI 10.1016/S0169-5347(02)02478-3
   Merilä J, 2001, J EVOLUTION BIOL, V14, P892, DOI 10.1046/j.1420-9101.2001.00348.x
   Mikola J., 1982, Silvae Fenn, V16, P178, DOI DOI 10.14214/SF.A15075
   MUONA O, 1989, SILVAE GENET, V38, P221
   Notivol E., 1996, En Diversity and Adap- tation in Forest Ecosystems in a Changing World, P48
   Oleksyn Jacek, 1998, Silva Fennica, V32, P129
   Partanen J, 1999, SCAND J FOREST RES, V14, P487, DOI 10.1080/02827589908540813
   PATTERSON HD, 1980, J ROY STAT SOC A STA, V143, P219, DOI 10.2307/2982128
   PROUT T, 1989, GENETICS, V123, P803
   Prus-Glowacki W, 2003, PLANT SYST EVOL, V239, P55, DOI 10.1007/s00606-002-0256-3
   Reeve JP, 2000, GENET RES, V75, P83, DOI 10.1017/S0016672399004140
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   REHFELDT GE, 1992, FOREST SCI, V38, P661
   REHFELDT GE, 1981, ANN BOT-LONDON, V48, P371, DOI 10.1093/oxfordjournals.aob.a086135
   REICH PB, 1994, CAN J FOREST RES, V24, P306, DOI 10.1139/x94-044
   Robledo-Arnuncio JJ, 2005, J BIOGEOGR, V32, P595, DOI 10.1111/j.1365-2699.2004.01196.x
   Rweyongeza DM, 2004, FOREST ECOL MANAG, V187, P159, DOI 10.1016/S0378-1127(03)00329-3
   *SAS I INC, 1999, SAS ONL VERS 8
   Savolainen O, 2004, FOREST ECOL MANAG, V197, P79, DOI 10.1016/j.foreco.2004.05.006
   Sgrò CM, 2003, EVOLUTION, V57, P1846
   SKROPPA T, 1993, SILVAE GENET, V42, P111
   Sokal RR., 2012, Biometry, V4
   VAARTAJA O, 1959, ECOL MONOGR, V29, P91, DOI 10.2307/1942199
   Visscher PM, 1998, GENETICS, V149, P1605
   Waldmann P, 2005, HEREDITY, V94, P623, DOI 10.1038/sj.hdy.6800672
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   WILLIAMS ER, 2002, EXPERIMENTAL DESIGN
   Wolfram S., 1999, MATH BOOK
   WRIGHT S, 1951, ANN EUGENIC, V15, P323
NR 64
TC 43
Z9 51
U1 0
U2 22
PU NATL RESEARCH COUNCIL CANADA-N R C RESEARCH PRESS
PI OTTAWA
PA BUILDING M 55, OTTAWA, ON K1A 0R6, CANADA
SN 0045-5067
J9 CAN J FOREST RES
JI Can. J. For. Res.-Rev. Can. Rech. For.
PD MAR
PY 2007
VL 37
IS 3
BP 540
EP 551
DI 10.1139/X06-243
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 190TP
UT WOS:000248083800004
DA 2025-01-10
ER

PT J
AU Montiel-Sosa, F
   Ruiz-Pesini, E
   Enríquez, JA
   Marcuello, A
   Díez-Sánchez, C
   Montoya, J
   Wallace, DC
   López-Pérez, MJ
AF Montiel-Sosa, F
   Ruiz-Pesini, E
   Enríquez, JA
   Marcuello, A
   Díez-Sánchez, C
   Montoya, J
   Wallace, DC
   López-Pérez, MJ
TI Differences of sperm motility in mitochondrial DNA haplogroup U
   sublineages
SO GENE
LA English
DT Article
DE mitochondrial DNA; haplogroup; phylogeography; OXPHOS; sperm motility
ID HEREDITARY OPTIC NEUROPATHY; CYTOCHROME-C-OXIDASE;
   SACCHAROMYCES-CEREVISIAE; CLIMATIC ADAPTATION; MTDNA VARIATION;
   LONGEVITY; DISEASE; RISK; MUTATIONS; SELECTION
AB We had previously shown that sperm from men harbouring haplogroup T mtDNAs swim less vigorously than those from haplogroup H. However, the biochemical basis of this motility was difficult to investigate because of the multiple mutations, the most important of which affected respiratory complex I for which there is no crystal structure. To more thoroughly study the relationship between mtDNA variation and differences in mitochondrial energy metabolism, we turned to the analysis of sperm baring haplogroup U mtDNAs. Haplogroup U is a monophyletic ancient and thus heterogeneous maternal lineage that is broadly distributed among European individuals. Several sublineages of haplogroup U were found to be associated with differences in sperm motility and vitality. These differences could be related to a highly conserved missense mutation in the mtDNA COIII gene (V91) and several equally conserved mutations in the cytochrome b (cytb) gene. Moreover, the lineages with the cytb mutations were substantially enriched in northern Europe, while those lacking these mutations were more prevalent in southern Europe. We suggest that some of these ancient conserved cytb missense Mutations permitted our ancestors to adapt to cold by partially uncoupling mitochondrial oxidative phosphorylation (OXPHOS). (c) 2005 Elsevier B.V. All rights reserved.
C1 Univ Zaragoza, Dept Bioquim Biol Mol & Celular, E-50013 Zaragoza, Spain.
   Univ Nacl Autonoma Mexico, Fac Estudios Super Cauutitlan, Dept Ciencias Biol, Cuautitlan, Estado De Mexic, Mexico.
   Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Ctr Mol & Mitochondrial Med & Genet, Irvine, CA 92697 USA.
   Univ Calif Irvine, Dept Biol Chem, Irvine, CA 92697 USA.
   Univ Calif Irvine, Dept Pediat, Irvine, CA 92697 USA.
C3 University of Zaragoza; Universidad Nacional Autonoma de Mexico;
   University of California System; University of California Irvine;
   University of California System; University of California Irvine;
   University of California System; University of California Irvine
RP Univ Zaragoza, Dept Bioquim Biol Mol & Celular, C Miguel Servet 177, E-50013 Zaragoza, Spain.
EM lopezper@posta.unizar.es
RI Enriquez, Jose Antonio/M-8468-2016
OI Enriquez, Jose Antonio/0000-0002-3671-2961
FU NIA NIH HHS [AG24373] Funding Source: Medline; NINDS NIH HHS [NS21328]
   Funding Source: Medline
CR Achilli A, 2005, AM J HUM GENET, V76, P883, DOI 10.1086/430073
   [Anonymous], 1992, LAB MANUAL EXAMINATI
   Bonafè M, 2002, GENE, V286, P121, DOI 10.1016/S0378-1119(01)00812-5
   Brown MD, 1997, AM J HUM GENET, V60, P381
   Carrieri G, 2001, HUM GENET, V108, P194, DOI 10.1007/s004390100463
   Coskun PE, 2003, P NATL ACAD SCI USA, V100, P2174, DOI 10.1073/pnas.0630589100
   Crofts AR, 1999, BIOCHEMISTRY-US, V38, P15791, DOI 10.1021/bi990961u
   De Benedictis G, 1999, FASEB J, V13, P1532, DOI 10.1096/fasebj.13.12.1532
   DIRAGO JP, 1988, J BIOL CHEM, V263, P12564
   Elson JL, 2004, AM J HUM GENET, V74, P229, DOI 10.1086/381505
   Fisher N, 2000, J MOL BIOL, V296, P1153, DOI 10.1006/jmbi.2000.3509
   Florentz C, 2001, EMBO REP, V2, P481, DOI 10.1093/embo-reports/kve111
   Ghezzi D, 2005, EUR J HUM GENET, V13, P748, DOI 10.1038/sj.ejhg.5201425
   Hosler JP, 2004, BBA-BIOENERGETICS, V1655, P332, DOI 10.1016/j.bbabio.2003.06.009
   Ivanova R, 1998, GERONTOLOGY, V44, P349, DOI 10.1159/000022041
   Kumar S, 2001, BIOINFORMATICS, V17, P1244, DOI 10.1093/bioinformatics/17.12.1244
   Malyarchuk B. A., 2004, Genetika, V40, P1549
   Mather MW, 1998, FEBS LETT, V433, P93, DOI 10.1016/S0014-5793(98)00891-6
   Meunier B, 2002, BBA-BIOENERGETICS, V1554, P101, DOI 10.1016/S0005-2728(02)00217-7
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Niemi AK, 2003, HUM GENET, V112, P29, DOI 10.1007/s00439-002-0843-y
   Pyle A, 2005, ANN NEUROL, V57, P564, DOI 10.1002/ana.20417
   Ross OA, 2001, EXP GERONTOL, V36, P1161, DOI 10.1016/S0531-5565(01)00094-8
   Ruiz-Pesini E, 1998, CLIN CHEM, V44, P1616
   Ruiz-Pesini E, 2004, SCIENCE, V303, P223, DOI 10.1126/science.1088434
   Ruiz-Pesini E, 2000, AM J HUM GENET, V67, P682, DOI 10.1086/303040
   Solakidi S, 2003, ANTICANCER RES, V23, P1389
   Torroni A, 1996, GENETICS, V144, P1835
   Torroni A, 1997, AM J HUM GENET, V60, P1107
   Troiano L, 1998, EXP CELL RES, V241, P384, DOI 10.1006/excr.1998.4064
   van der Walt JM, 2004, NEUROSCI LETT, V365, P28, DOI 10.1016/j.neulet.2004.04.051
   van der Walt JM, 2003, AM J HUM GENET, V72, P804, DOI 10.1086/373937
   WALLACE DC, 1994, J BIOENERG BIOMEMBR, V26, P241, DOI 10.1007/BF00763096
   Wallace DC, 2003, COLD SPRING HARB SYM, V68, P479
   Wallace DC, 1999, GENE, V238, P211, DOI 10.1016/S0378-1119(99)00295-4
NR 35
TC 84
Z9 100
U1 0
U2 25
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0378-1119
EI 1879-0038
J9 GENE
JI Gene
PD MAR 1
PY 2006
VL 368
BP 21
EP 27
DI 10.1016/j.gene.2005.09.015
PG 7
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 026CA
UT WOS:000236313100003
PM 16326035
DA 2025-01-10
ER

PT J
AU Pawar, S
   Huxley, PJ
   Smallwood, TRC
   Nesbit, ML
   Chan, AHH
   Shocket, MS
   Johnson, LR
   Kontopoulos, DG
   Cator, LJ
AF Pawar, Samraat
   Huxley, Paul J.
   Smallwood, Thomas R. C.
   Nesbit, Miles L.
   Chan, Alex H. H.
   Shocket, Marta S.
   Johnson, Leah R.
   Kontopoulos, Dimitrios - Georgios
   Cator, Lauren J.
TI Variation in temperature of peak trait performance constrains adaptation
   of arthropod populations to climatic warming
SO NATURE ECOLOGY & EVOLUTION
LA English
DT Article
ID LIFE-HISTORY; THERMAL SENSITIVITY; DROSOPHILA-MELANOGASTER; BODY-SIZE;
   EVOLUTION; MODELS; RESPONSES; TERRESTRIAL; DEPENDENCE; LIKELIHOOD
AB The capacity of arthropod populations to adapt to long-term climatic warming is currently uncertain. Here we combine theory and extensive data to show that the rate of their thermal adaptation to climatic warming will be constrained in two fundamental ways. First, the rate of thermal adaptation of an arthropod population is predicted to be limited by changes in the temperatures at which the performance of four key life-history traits can peak, in a specific order of declining importance: juvenile development, adult fecundity, juvenile mortality and adult mortality. Second, directional thermal adaptation is constrained due to differences in the temperature of the peak performance of these four traits, with these differences expected to persist because of energetic allocation and life-history trade-offs. We compile a new global dataset of 61 diverse arthropod species which provides strong empirical evidence to support these predictions, demonstrating that contemporary populations have indeed evolved under these constraints. Our results provide a basis for using relatively feasible trait measurements to predict the adaptive capacity of diverse arthropod populations to geographic temperature gradients, as well as ongoing and future climatic warming.
   By combining theory and empirical data, the authors show that the adaptive capacity of arthropod populations to long-term climatic warming will be constrained by the temperatures at which the performance of four key life-history traits can peak.
C1 [Pawar, Samraat; Huxley, Paul J.; Nesbit, Miles L.; Chan, Alex H. H.; Cator, Lauren J.] Imperial Coll London, Dept Life Sci, Ascot, England.
   [Huxley, Paul J.; Johnson, Leah R.] Virginia Tech, Dept Stat, Blacksburg, VA USA.
   [Smallwood, Thomas R. C.] Imperial Coll London, Dept Infect Dis Epidemiol, London, England.
   [Nesbit, Miles L.] Pirbright Inst, Woking, England.
   [Shocket, Marta S.] Univ Florida, Dept Geog, Gainesville, FL USA.
   [Kontopoulos, Dimitrios - Georgios] LOEWE Ctr Translat Biodivers Genom, Frankfurt, Germany.
   [Kontopoulos, Dimitrios - Georgios] Senckenberg Res Inst, Frankfurt, Germany.
C3 Imperial College London; Virginia Polytechnic Institute & State
   University; Imperial College London; UK Research & Innovation (UKRI);
   Biotechnology and Biological Sciences Research Council (BBSRC);
   Pirbright Institute; State University System of Florida; University of
   Florida; Leibniz Association; Senckenberg Gesellschaft fur
   Naturforschung (SGN)
RP Pawar, S; Huxley, PJ; Cator, LJ (corresponding author), Imperial Coll London, Dept Life Sci, Ascot, England.; Huxley, PJ (corresponding author), Virginia Tech, Dept Stat, Blacksburg, VA USA.
EM s.pawar@imperial.ac.uk; phuxly@gmail.com; l.cator@imperial.ac.uk
RI Shocket, Marta/ACV-5058-2022; Pawar, Samraat/E-7388-2012; Huxley,
   Paul/HCI-3850-2022; Kontopoulos, Dimitrios - Georgios/H-5822-2019
OI Kontopoulos, Dimitrios - Georgios/0000-0002-5082-1929; Pawar,
   Samraat/0000-0001-8375-5684; Shocket, Marta/0000-0002-8995-4446; Huxley,
   Paul/0000-0001-9211-9479; Chan, Hoi Hang/0000-0002-5405-7155
FU National Science Foundation (NSF); BBSRC [BB/N013573/1] Funding Source:
   UKRI
FX We thank R. Huey for insightful comments and suggestions.
CR Alfsnes K, 2017, ECOL EVOL, V7, P5939, DOI 10.1002/ece3.3163
   Amarasekare P, 2013, J ANIM ECOL, V82, P1240, DOI 10.1111/1365-2656.12112
   Amarasekare P, 2012, FUNCT ECOL, V26, P959, DOI 10.1111/j.1365-2435.2012.02000.x
   Amarasekare P, 2012, AM NAT, V179, P178, DOI 10.1086/663677
   Angilletta MJ, 2010, PHYSIOL BIOCHEM ZOOL, V83, P197, DOI 10.1086/648567
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   Asbury DA, 2010, AM NAT, V176, pE40, DOI 10.1086/653659
   ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/S0065-2504(08)60212-3
   Bar-On YM, 2018, P NATL ACAD SCI USA, V115, P6506, DOI 10.1073/pnas.1711842115
   Bernhardt JR, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.1076
   BIRCH LC, 1948, J ANIM ECOL, V17, P15, DOI 10.2307/1605
   Brass DP, 2021, ECOL LETT, V24, P2406, DOI 10.1111/ele.13862
   Buckley LB, 2021, ANNU REV ECOL EVOL S, V52, P563, DOI 10.1146/annurev-ecolsys-011521-102856
   Caswell H., 1989, pi
   Cator LJ, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00189
   Charnov Eric L., 1993, P1
   Chirgwin E, 2020, EVOL ECOL, V34, P681, DOI 10.1007/s10682-020-10065-x
   COLE LC, 1954, Q REV BIOL, V29, P103, DOI 10.1086/400074
   Crossley MS, 2020, NAT ECOL EVOL, V4, P1368, DOI 10.1038/s41559-020-1269-4
   Darriba D, 2020, MOL BIOL EVOL, V37, P291, DOI 10.1093/molbev/msz189
   de Villemereuil P, 2014, Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology: Concepts and Practice, P287, DOI [10.1007/978-3-662-43550-2, 10.1007/978-3-662-43550-2_11, DOI 10.1007/978-3-662-43550-211]
   Dell AI, 2011, P NATL ACAD SCI USA, V108, P10591, DOI 10.1073/pnas.1015178108
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Dowd WW, 2015, J EXP BIOL, V218, P1956, DOI 10.1242/jeb.114926
   Dress AWM, 2008, ALGORITHM MOL BIOL, V3, DOI 10.1186/1748-7188-3-7
   Duffy K, 2022, NAT CLIM CHANGE, V12, P1037, DOI 10.1038/s41558-022-01490-7
   Eastman JM, 2013, METHODS ECOL EVOL, V4, P688, DOI 10.1111/2041-210X.12051
   Eck DJ, 2015, EVOLUTION, V69, P2525, DOI 10.1111/evo.12744
   Flatt T, 2020, GENETICS, V214, P3, DOI 10.1534/genetics.119.300160
   Flouri T, 2015, SYST BIOL, V64, P356, DOI 10.1093/sysbio/syu084
   Frazier MR, 2006, AM NAT, V168, P512, DOI 10.1086/506977
   GILCHRIST GW, 1995, AM NAT, V146, P252, DOI 10.1086/285797
   Gilchrist GW, 1997, PHYSIOL ZOOL, V70, P403, DOI 10.1086/515853
   Gilchrist GW, 1996, EVOLUTION, V50, P1560, DOI 10.1111/j.1558-5646.1996.tb03928.x
   Hadfield JD, 2010, J EVOLUTION BIOL, V23, P494, DOI 10.1111/j.1420-9101.2009.01915.x
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   HAMILTON WD, 1966, J THEOR BIOL, V12, P12, DOI 10.1016/0022-5193(66)90184-6
   Harvey JA, 2023, ECOL MONOGR, V93, DOI 10.1002/ecm.1553
   Heath J. E, 1971, Am Zool, V11, P147
   Hinchliff CE, 2015, P NATL ACAD SCI USA, V112, P12764, DOI 10.1073/pnas.1423041112
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Huang XL, 2018, ECOL EVOL, V8, P12694, DOI 10.1002/ece3.4697
   Huey RB, 2001, AM NAT, V158, P204, DOI 10.1086/321314
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Huxley PJ, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-03030-7
   Huxley PJ, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2020.3217
   Jensen A, 2019, FUNCT ECOL, V33, P833, DOI 10.1111/1365-2435.13291
   Jorgensen LB, 2022, NATURE, V611, P93, DOI 10.1038/s41586-022-05334-4
   Katoh Kazutaka, 2013, Mol Biol Evol, V30, P772, DOI 10.1093/molbev/mst010
   Katoh K, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-212
   Kingsolver JG, 2016, AM NAT, V187, P283, DOI 10.1086/684786
   Kingsolver JG, 2011, INTEGR COMP BIOL, V51, P719, DOI 10.1093/icb/icr015
   Kingsolver JG, 2009, AM NAT, V174, P755, DOI 10.1086/648310
   Kontopoulos DG, 2020, EVOLUTION, V74, P775, DOI 10.1111/evo.13946
   Kozlov AM, 2019, BIOINFORMATICS, V35, P4453, DOI 10.1093/bioinformatics/btz305
   Kumar S, 2022, MOL BIOL EVOL, V39, DOI 10.1093/molbev/msac174
   Lunde TM, 2013, PARASITE VECTOR, V6, P1, DOI 10.1186/1756-3305-6-20
   Maino JL, 2016, CURR OPIN INSECT SCI, V17, P81, DOI 10.1016/j.cois.2016.07.006
   Marta S, 2021, NAT ECOL EVOL, V5, P1291, DOI 10.1038/s41559-021-01513-0
   Martin TL, 2008, AM NAT, V171, pE102, DOI 10.1086/527502
   Mavridis D, 2013, STAT METHODS MED RES, V22, P133, DOI 10.1177/0962280211432219
   Michonneau F, 2016, METHODS ECOL EVOL, V7, P1476, DOI 10.1111/2041-210X.12593
   Molnár PK, 2013, ECOL LETT, V16, P9, DOI 10.1111/ele.12022
   Mordecai EA, 2013, ECOL LETT, V16, P22, DOI 10.1111/ele.12015
   Nakagawa S, 2019, SYST BIOL, V68, P632, DOI 10.1093/sysbio/syy089
   Padfield D, 2021, METHODS ECOL EVOL, V12, P1138, DOI 10.1111/2041-210X.13585
   PARTRIDGE L, 1995, EVOLUTION, V49, P538, DOI 10.1111/j.1558-5646.1995.tb02285.x
   Pennell MW, 2014, BIOINFORMATICS, V30, P2216, DOI 10.1093/bioinformatics/btu181
   Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
   Ratnasingham S, 2007, MOL ECOL NOTES, V7, P355, DOI 10.1111/j.1471-8286.2007.01678.x
   Rohatgi A., 2021, WEBPLOTDIGITIZER VER
   Savage VM, 2004, AM NAT, V163, P429, DOI 10.1086/381872
   SCHOOLFIELD RM, 1981, J THEOR BIOL, V88, P719, DOI 10.1016/0022-5193(81)90246-0
   Sinclair BJ, 2012, PHYSIOL BIOCHEM ZOOL, V85, P594, DOI 10.1086/665388
   Smith SA, 2012, BIOINFORMATICS, V28, P2689, DOI 10.1093/bioinformatics/bts492
   STEARNS SC, 1989, FUNCT ECOL, V3, P259, DOI 10.2307/2389364
   SUGIURA N, 1978, COMMUN STAT A-THEOR, V7, P13, DOI 10.1080/03610927808827599
   Thomas GWC, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-019-1925-7
   TRUDGILL DL, 1995, FUNCT ECOL, V9, P136
   Tüzün N, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2021.2414
   van der Have TM, 2002, OIKOS, V98, P141, DOI 10.1034/j.1600-0706.2002.980115.x
   van Klink R, 2020, SCIENCE, V368, P417, DOI 10.1126/science.aax9931
   Wagner DL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2002549117
   Weaving H, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32953-2
NR 84
TC 6
Z9 6
U1 7
U2 20
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2397-334X
J9 NAT ECOL EVOL
JI Nat. Ecol. Evol.
PD MAR
PY 2024
VL 8
IS 3
DI 10.1038/s41559-023-02301-8
EA JAN 2024
PG 14
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA LR6B1
UT WOS:001148702300001
PM 38273123
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Housset, JM
   Nadeau, S
   Isabel, N
   Depardieu, C
   Duchesne, I
   Lenz, P
   Girardin, MP
AF Housset, Johann M.
   Nadeau, Simon
   Isabel, Nathalie
   Depardieu, Claire
   Duchesne, Isabelle
   Lenz, Patrick
   Girardin, Martin P.
TI Tree rings provide a new class of phenotypes for genetic associations
   that foster insights into adaptation of conifers to climate change
SO NEW PHYTOLOGIST
LA English
DT Article
DE adaptive capacity; climate change; common garden; dendroecology; local
   adaptation; needleleaf; temperate forests; tree rings
ID PINE PINUS-STROBUS; VACUOLAR PROCESSING ENZYME; CANADA BOREAL FOREST;
   LOCAL ADAPTATION; LANDSCAPE GENOMICS; STRESS TOLERANCE; MODEL APPROACH;
   NORTH-AMERICA; BUD-BURST; GROWTH
AB Local adaptation in tree species has been documented through a long history of common garden experiments where functional traits (height, bud phenology) are used as proxies for fitness. However, the ability to identify genes or genomic regions related to adaptation to climate requires the evaluation of traits that precisely reflect how and when climate exerts selective constraints. We combine dendroecology with association genetics to establish a link between genotypes, phenotypes and interannual climatic fluctuations. We illustrate this approach by examining individual tree responses embedded in the annual rings of 233 Pinus strobus trees growing in a common garden experiment representing 38 populations from the majority of its range. We found that interannual variability in growth was affected by low temperatures during spring and autumn, and by summer heat and drought. Among-population variation in climatic sensitivity was significantly correlated with the mean annual temperature of the provenance, suggesting local adaptation. Genotype-phenotype associations using these new tree-ring phenotypes validated nine candidate genes identified in a previous genetic-environment association study. Combining dendroecology with association genetics allowed us to assess tree vulnerability to past climate at fine temporal scales and provides avenues for future genomic studies on functional adaptation in forest trees.
C1 [Housset, Johann M.; Nadeau, Simon; Isabel, Nathalie; Depardieu, Claire; Girardin, Martin P.] Laurentian Forestry Ctr, Canadian Forest Serv, Nat Resources Canada, 1055 PEPS,POB 10380, Stn St Foy, PQ G1V 4C7, Canada.
   [Housset, Johann M.; Nadeau, Simon; Duchesne, Isabelle; Lenz, Patrick] Canadian Wood Fibre Ctr, Nat Resources Canada, 1055 PEPS,POB 10380, Stn St Foy, PQ G1V 4C7, Canada.
   [Housset, Johann M.; Girardin, Martin P.] Univ Quebec Canada, Ctr Etud Foret, CP 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada.
   [Isabel, Nathalie; Depardieu, Claire; Lenz, Patrick] Univ Laval, Fac Foresterie Geogr & Geomat, Chaire Rech Canada Genom Forestiere, Quebec City, PQ G1V 0A6, Canada.
C3 Natural Resources Canada; Canadian Forest Service; Natural Resources
   Canada; Laval University
RP Isabel, N; Girardin, MP (corresponding author), Laurentian Forestry Ctr, Canadian Forest Serv, Nat Resources Canada, 1055 PEPS,POB 10380, Stn St Foy, PQ G1V 4C7, Canada.; Girardin, MP (corresponding author), Univ Quebec Canada, Ctr Etud Foret, CP 8888,Succ Ctr Ville, Montreal, PQ H3C 3P8, Canada.
EM nathalie.isabel@canada.ca; martin.girardin@canada.ca
RI Nadeau, Simon/A-9303-2016; Lenz, Patrick/AAE-6233-2020
OI Girardin, Martin/0000-0003-0436-7486
FU Canadian Wood Fibre Centre of Natural Resources Canada; Natural Sciences
   and Engineering Research Council of Canada (NSERC); Canadian Forest
   Service
FX This work was made possible thanks to the financial and in-kind support
   provided by the Canadian Forest Service and the Canadian Wood Fibre
   Centre of Natural Resources Canada, and funding from the Natural
   Sciences and Engineering Research Council of Canada (NSERC; Discovery
   Grant to M.P.G.). We thank Christine Simard, Philippe Labrie, David
   Gervais, Daniel Plourde, Eric Dussault, Jean-Francois Legare, and
   Marie-Claude Gros-Louis for their valuable contributions to field and
   laboratory work, and Manuel Lamothe, Claude Bomal and Julie Godbout for
   methodological discussions. We are grateful to Sebastien Clement and
   Ilga Porth for useful comments on a previous version of the manuscript
   and to Isabelle Lamarre for technical English editing. Finally, we would
   like to thank Dr Andrew Eckert and two anonymous reviewers for their
   insights and constructive comments.
CR Afzal AJ, 2008, MOL PLANT MICROBE IN, V21, P507, DOI 10.1094/MPMI-21-5-0507
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Ariizumi T, 2011, PLANT PHYSIOL, V155, P765, DOI 10.1104/pp.110.166272
   Aubin I, 2016, ENVIRON REV, V24, P164, DOI 10.1139/er-2015-0072
   Bannister P, 2001, TREE PHYSIOL SER, V1, P3
   Begum S, 2013, PHYSIOL PLANTARUM, V147, P46, DOI 10.1111/j.1399-3054.2012.01663.x
   Bennie J, 2010, GLOBAL CHANGE BIOL, V16, P1503, DOI 10.1111/j.1365-2486.2009.02095.x
   BILLINGTON HL, 1991, FUNCT ECOL, V5, P403, DOI 10.2307/2389812
   Biondi F, 2004, COMPUT GEOSCI-UK, V30, P303, DOI 10.1016/j.cageo.2003.11.004
   Bunn AG, 2008, DENDROCHRONOLOGIA, V26, P115, DOI 10.1016/j.dendro.2008.01.002
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Chhin S, 2013, TREE-RING RES, V69, P37, DOI 10.3959/1536-1098-69.2.37
   Cook E.R., 1986, GUIDE COMPUTER PROGR
   Cook E.R., 1990, METHODS DENDROCHRONO
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   de Villemereuil P, 2016, HEREDITY, V116, P249, DOI 10.1038/hdy.2015.93
   Dray S, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i04
   DUTILLEUL P, 1993, BIOMETRICS, V49, P305, DOI 10.2307/2532625
   Eckert AJ, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0863-0
   Fritts H.C., 1976, Tree rings and climate, P1
   Gessler A, 2014, TREE PHYSIOL, V34, P796, DOI 10.1093/treephys/tpu040
   Girardin MP, 2012, BIOGEOSCIENCES, V9, P2523, DOI 10.5194/bg-9-2523-2012
   Girardin MP, 2016, P NATL ACAD SCI USA, V113, pE8406, DOI 10.1073/pnas.1610156113
   Gruis DF, 2004, PLANT CELL, V16, P270, DOI 10.1105/tpc.016378
   Gururani MA, 2015, MOL PLANT, V8, P1304, DOI 10.1016/j.molp.2015.05.005
   Hardy OJ, 2002, MOL ECOL NOTES, V2, P618, DOI 10.1046/j.1471-8286.2002.00305.x
   Hartmann H, 2016, NEW PHYTOL, V211, P386, DOI 10.1111/nph.13955
   Hatsugai N, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00234
   Heide OM, 2003, TREE PHYSIOL, V23, P931, DOI 10.1093/treephys/23.13.931
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Housset JM, 2015, J BIOGEOGR, V42, P1233, DOI 10.1111/jbi.12508
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Ishihara S, 2007, PLANT PHYSIOL, V145, P668, DOI 10.1104/pp.107.105866
   Jezkova T, 2016, P ROY SOC LOND B BIO, V283, P2016
   Ji XY, 2016, TREE PHYSIOL, V36, P193, DOI 10.1093/treephys/tpv139
   Jombart T, 2010, BMC GENET, V11, DOI 10.1186/1471-2156-11-94
   Joost S, 2007, MOL ECOL, V16, P3955, DOI 10.1111/j.1365-294X.2007.03442.x
   Joyce DG, 2013, FOREST ECOL MANAG, V295, P173, DOI 10.1016/j.foreco.2012.12.024
   Jump AS, 2009, TRENDS ECOL EVOL, V24, P694, DOI 10.1016/j.tree.2009.06.007
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   LANGLET O, 1971, Taxon, V20, P653, DOI 10.2307/1218596
   Leland C, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154730
   Lepais O, 2014, MOL ECOL, V23, P4671, DOI 10.1111/mec.12906
   Li P, 1997, CAN J FOREST RES, V27, P199, DOI 10.1139/cjfr-27-2-199
   Lodeyro AF, 2012, FEBS LETT, V586, P2917, DOI 10.1016/j.febslet.2012.07.026
   Lu PX, 2003, FOREST ECOL MANAG, V178, P329, DOI 10.1016/S0378-1127(02)00481-4
   MACEY DE, 1986, CAN J FOREST RES, V16, P949, DOI 10.1139/x86-168
   Maloney V, 2010, THESIS, P1919, DOI [10.14288/1.0069960, DOI 10.14288/1.0069960]
   Marchand N, 2012, CAN J FOREST RES, V42, P12, DOI [10.1139/x11-151, 10.1139/X11-151]
   McKenney DW, 2014, BIOSCIENCE, V64, P341, DOI 10.1093/biosci/biu016
   McKown AD, 2014, NEW PHYTOL, V201, P1263, DOI 10.1111/nph.12601
   McLane SC, 2011, FOREST ECOL MANAG, V262, P115, DOI 10.1016/j.foreco.2011.03.007
   Montwé D, 2016, GLOBAL CHANGE BIOL, V22, P806, DOI 10.1111/gcb.13123
   Nadeau S, 2016, ECOL EVOL, V6, P8649, DOI 10.1002/ece3.2550
   Nadeau S, 2015, AM J BOT, V102, P1342, DOI 10.3732/ajb.1500160
   Pedlar JH, 2017, SCI REP-UK, V7, DOI 10.1038/srep43881
   Perrin M, 2017, TREE PHYSIOL, V37, P593, DOI 10.1093/treephys/tpx019
   Karlusich JJP, 2014, J EXP BOT, V65, P5161, DOI 10.1093/jxb/eru273
   Price DT, 2013, ENVIRON REV, V21, P322, DOI 10.1139/er-2013-0042
   Rahaman MM, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00619
   Rajora OP, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0158691
   REGNIERE J, 1994, ENVIRON ENTOMOL, V23, P1368, DOI 10.1093/ee/23.6.1368
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Rigault P, 2011, PLANT PHYSIOL, V157, P14, DOI 10.1104/pp.111.179663
   Ritland K, 1996, GENET RES, V67, P175, DOI 10.1017/S0016672300033620
   Rojas-Pierce M, 2014, PLANT PHYSIOL BIOCH, V83, P185, DOI 10.1016/j.plaphy.2014.07.014
   Savolainen O, 2004, FOREST ECOL MANAG, V197, P79, DOI 10.1016/j.foreco.2004.05.006
   Savva Y, 2002, TREES-STRUCT FUNCT, V16, P313, DOI 10.1007/s00468-001-0136-4
   Schweingruber F. H., 1996, Tree rings and environment: dendroecology.
   Segura V, 2012, NAT GENET, V44, P825, DOI 10.1038/ng.2314
   Serin EAR, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00444
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   Sterling JD, 2006, P NATL ACAD SCI USA, V103, P5236, DOI 10.1073/pnas.0600120103
   Suetsugu N, 2015, PLANT PHYSIOL, V169, P1155, DOI 10.1104/pp.15.00214
   Taeger S, 2013, FOREST ECOL MANAG, V307, P30, DOI 10.1016/j.foreco.2013.06.053
   Tenhaken R, 2015, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00771
   Terrier A, 2013, ECOL APPL, V23, P21, DOI 10.1890/12-0425.1
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Wang T, 2016, J EXP BOT, V67, P543, DOI 10.1093/jxb/erv488
   Wang XH, 2011, P NATL ACAD SCI USA, V108, P1240, DOI 10.1073/pnas.1014425108
   Warren W. G., 1980, Tree-Ring Bulletin, V40, P35
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2
   Xiang LL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143892
   Yamada Y, 2011, PLANT SIGNAL BEHAV, V6, P1627, DOI 10.4161/psb.6.11.17599
   Yamaguchi-Shinozaki K, 2006, ANNU REV PLANT BIOL, V57, P781, DOI 10.1146/annurev.arplant.57.032905.105444
   Yu JM, 2006, NAT GENET, V38, P203, DOI 10.1038/ng1702
   Zang C, 2015, ECOGRAPHY, V38, P431, DOI 10.1111/ecog.01335
   Zhang ZW, 2010, NAT GENET, V42, P355, DOI 10.1038/ng.546
NR 92
TC 101
Z9 106
U1 5
U2 101
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2018
VL 218
IS 2
BP 630
EP 645
DI 10.1111/nph.14968
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA GA1IY
UT WOS:000428070100023
PM 29314017
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU MacLean, HJ
   Higgins, JK
   Buckley, LB
   Kingsolver, JG
AF MacLean, Heidi J.
   Higgins, Jessica K.
   Buckley, Lauren B.
   Kingsolver, Joel G.
TI Morphological and physiological determinants of local adaptation to
   climate in Rocky Mountain butterflies
SO CONSERVATION PHYSIOLOGY
LA English
DT Article
DE Climate change; Colias; flight
ID COLIAS BUTTERFLIES; THERMOREGULATORY BEHAVIOR; PIGMENT POLYMORPHISMS;
   ADAPTIVE SIGNIFICANCE; BODY-SIZE; LEPIDOPTERA; TEMPERATURE; PERFORMANCE;
   RESPONSES; IMPACTS
AB Flight is a central determinant of fitness in butterflies and other insects, but it is restricted to a limited range of body temperatures. To achieve these body temperatures, butterflies use a combination of morphological, behavioural and physiological mechanisms. Here, we used common garden (without direct solar radiation) and reciprocal transplant (full solar radiation) experiments in the field to determine the thermal sensitivity of flight initiation for two species of Colias butterflies along an elevation gradient in the southwestern Rocky Mountains. The mean body temperature for flight initiation in the field was lower (24-26 degrees C) than indicated by previous studies (28-30 degrees C) in these species. There were small but significant differences in thermal sensitivity of flight initiation between species; high-elevation Colias meadii initiated flight at a lower mean body temperature than lower-elevation Colias eriphyle. Morphological differences (in wing melanin and thoracic setae) drive body temperature differences between species and contributed strongly to differences in the time and probability of flight and air temperatures at flight initiation. Our results suggest that differences both in thermal sensitivity (15% contribution) and in morphology (85% contribution) contribute to the differences in flight initiation between the two species in the field. Understanding these differences, which influence flight performance and fitness, aids in forecasting responses to climate change.
C1 [MacLean, Heidi J.; Higgins, Jessica K.; Buckley, Lauren B.; Kingsolver, Joel G.] Univ N Carolina, Dept Biol, Chapel Hill, NC 27599 USA.
   [Buckley, Lauren B.] Univ Washington, Dept Biol, Seattle, WA 98195 USA.
C3 University of North Carolina; University of North Carolina Chapel Hill;
   University of Washington; University of Washington Seattle
RP MacLean, HJ (corresponding author), Aarhus Univ, Inst Biosci, DK-8000 Aarhus C, Denmark.
EM hmaclean@bios.au.dk
RI Buckley, Lauren/ABD-6759-2021
OI MacLean, Heidi/0000-0002-0869-994X; MacLean, Heidi/0000-0003-0982-3209
FU National Science Foundation [DEB-1120062, IOS-1120500]
FX The research was supported in part by National Science Foundation grants
   (DEB-1120062) to L.B.B. and J.G.K. and (IOS-1120500) to J.G.K.
CR ADOLPH SC, 1993, AM NAT, V142, P273, DOI 10.1086/285538
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   Angilletta MJ, 2002, J THERM BIOL, V27, P199, DOI 10.1016/S0306-4565(01)00084-5
   Angilletta MJ, 2002, J THERM BIOL, V27, P249, DOI 10.1016/S0306-4565(01)00094-8
   [Anonymous], 2022, NLME LINEAR NONLINEA
   [Anonymous], 1954, The distribution and abundance of animals, DOI DOI 10.1111/BRV
   BERRY AJ, 1986, ECOL ENTOMOL, V11, P251, DOI 10.1111/j.1365-2311.1986.tb00301.x
   Bradshaw WE, 2006, SCIENCE, V312, P1477, DOI 10.1126/science.1127000
   Buckley LB, 2015, FUNCT ECOL, V29, P1038, DOI 10.1111/1365-2435.12406
   Buckley LB, 2012, FUNCT ECOL, V26, P969, DOI 10.1111/j.1365-2435.2012.01969.x
   CHAPPELL MA, 1983, OECOLOGIA, V56, P126, DOI 10.1007/BF00378228
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Ellers J, 2004, BIOL J LINN SOC, V82, P79, DOI 10.1111/j.1095-8312.2004.00319.x
   Frazier MR, 2006, INTEGR COMP BIOL, V46, pE193
   Frazier MR, 2008, J EXP BIOL, V211, P2116, DOI 10.1242/jeb.019422
   HERTZ PE, 1983, EVOLUTION, V37, P1075, DOI 10.1111/j.1558-5646.1983.tb05634.x
   Hodkinson ID, 2005, BIOL REV, V80, P489, DOI 10.1017/S1464793105006767
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   HUEY RB, 1984, J EXP BIOL, V110, P113
   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
   Kearney M, 2009, P NATL ACAD SCI USA, V106, P3835, DOI 10.1073/pnas.0808913106
   KINGSOLVER JG, 1983, ECOLOGY, V64, P546, DOI 10.2307/1939974
   KINGSOLVER JG, 1982, OECOLOGIA, V53, P27, DOI 10.1007/BF00377132
   KINGSOLVER JG, 1984, ECOLOGY, V65, P1835, DOI 10.2307/1937780
   KINGSOLVER JG, 1983, ECOLOGY, V64, P534, DOI 10.2307/1939973
   Kingsolver JG, 2013, FUNCT ECOL, V27, P1415, DOI 10.1111/1365-2435.12145
   KUTSCH W, 1981, J INSECT PHYSIOL, V27, P455, DOI 10.1016/0022-1910(81)90096-2
   MAGNUSON JJ, 1979, AM ZOOL, V19, P331
   Mani M.S., 1968, ECOLOGY BIOGEOGRAPHY
   Navas CA, 1996, PHYSIOL ZOOL, V69, P1481, DOI 10.1086/physzool.69.6.30164271
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Radchuk V, 2013, J ANIM ECOL, V82, P275, DOI 10.1111/j.1365-2656.2012.02029.x
   Roland J, 2006, CAN ENTOMOL, V138, P52, DOI 10.4039/n05-805
   ROLAND J, 1982, OECOLOGIA, V53, P214, DOI 10.1007/BF00545666
   SINERVO B, 1994, ECOLOGY, V75, P776, DOI 10.2307/1941734
   Sinervo B, 2010, SCIENCE, V328, P894, DOI 10.1126/science.1184695
   SPRINGER P, 1986, AM NAT, V127, P252, DOI 10.1086/284483
   STEVENSON RD, 1985, AM NAT, V126, P362, DOI 10.1086/284423
   Sunday JM, 2011, P ROY SOC B-BIOL SCI, V278, P1823, DOI 10.1098/rspb.2010.1295
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   TSUJI JS, 1986, OECOLOGIA, V69, P161, DOI 10.1007/BF00377616
   Watt WB, 2003, MOL ECOL, V12, P1265, DOI 10.1046/j.1365-294X.2003.01804.x
   WATT WB, 1968, EVOLUTION, V22, P437, DOI 10.1111/j.1558-5646.1968.tb03985.x
   WATT WB, 1977, OECOLOGIA, V27, P1, DOI 10.1007/BF00345682
   WATT WB, 1969, P NATL ACAD SCI USA, V63, P767, DOI 10.1073/pnas.63.3.767
   Williams CM, 2015, BIOL REV, V90, P214, DOI 10.1111/brv.12105
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
NR 48
TC 18
Z9 21
U1 1
U2 69
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2051-1434
J9 CONSERV PHYSIOL
JI Conserv. Physiol.
PD SEP 22
PY 2016
VL 4
AR cow035
DI 10.1093/conphys/cow035
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences; Physiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology;
   Physiology
GA DW7NW
UT WOS:000383838900001
PM 27668080
OA Green Published, gold
DA 2025-01-10
ER

PT B
AU Orefici, G
AF Orefici, Giuseppe
BE Lasaponara, R
   Masini, N
   Orefici, G
TI Nasca Historical and Cultural Analysis
SO ANCIENT NASCA WORLD: NEW INSIGHTS FROM SCIENCE AND ARCHAEOLOGY
LA English
DT Article; Book Chapter
DE Historical and cultural analysis; Settlement patterns; Late Preceramic
   Period; Initial Period; Paracas; Geoglyphs; Early Intermediate Period
AB Peruvian prehistoric man faced considerable difficulties to adapt to climatic and environmental situation of the area. The first coastal settlements are dated between 6000 and 3500-3000 BCE. The needs, arising from living in extremely adverse and diversified environments, led the first inhabitants to adapt physically and spiritually to a new reality. In the southern coastal region, which includes the Rio Nasca valley, the earliest dating of cultural ritual nature is related to the early stages of Cahuachi. Other data on the deep stratigraphy of the temple area date the occupation of some structures of the ceremonial center to the middle of the second millennium BCE. The presence of cultural elements of Chavinoid type remained for a long time in the Nasca Culture area, due to the persistence of the Paracas influence that spawned the subsequent birth of Nasca culture. The Paracas society was probably ruled by a priestly class, but there is also evidence of war activities, unlike during the Nasca cultural domination, which was characterized by long periods of peace. The Nasca society produced very fine handicraft, thanks to technological achievements in the field of ceramic and textile manufacturing. The cultural influence of the last period of Nasca culture was the result of interrelations with the Sierra and the Wari cultures, which later assumed imperial characteristics and extended its dominion over the entire coastal region it had recently conquered.
C1 [Orefici, Giuseppe] Ctr Italiano Studi & Ric Archeol Precolombiane CI, Via Grazie 6, Brescia, Italy.
   [Orefici, Giuseppe] CEAP, Ave La Cultura 600, Nasca, Peru.
RP Orefici, G (corresponding author), Ctr Italiano Studi & Ric Archeol Precolombiane CI, Via Grazie 6, Brescia, Italy.
EM CISRAP@numerica.it
CR [Anonymous], 1928, ACT 22 C INT AM ROM, P679
   Barrera AlejandroChu., 2008, Bandurria: Arena, mar y humedad en el surgimiento de la Civilizacion Andina
   Cook A, 1994, WARY TIWANAKU ENTRE
   Cook Anita., 1999, GACETA ARQUEOL GICA, V25, P61
   DE LA TORRE J. C, 2005, REV ARQUEOLOGIA SIGL, V286, P22
   DELEONARDIS L, 1991, THESIS CATHOLIC U AM
   DeLeonardis L., 1997, THESIS CATHOLIC U AM
   ENGEL FA, 1963, TRAVAUX I FRANCAIS E, V9, P1
   Engel FA, 1980, PAPERS DEP ANTHR
   Garcia Ruben., 1995, J STEWARD ANTHR SOC, V23, P43
   Isla J., 2003, Beitrage zur Allgemeinen und Vergleichenden Archaologie, V23, P227
   Kaulicke P, 1994, HIST GEN PERU, VI
   Lanning E., 1960, Tesis de doctorado no publicada
   Lanning EP Pollard G., 1967, PERU INCAS
   Lumbreras LuisGuillermo., 1969, De los Pueblos, Las Culturas y las Artes del Antiguo Peru
   Massey S., 1991, Paracas Art and Architecture: Object and Context in South Coastal Peru, P315
   MENZEL D, 1971, ESTUDIOS ARQUEOLOGIC
   Menzel Dorothy., 1964, U CALIFORNIA PUBLICA, V50
   Orefici G., 1993, NASCA ARTE SOC POPOL
   Orefici G., 2012, Cahuachi: Capital Teocratica Nasca
   Orefici Giuseppe., 2003, Nasca: Hipotesis Y Evidencias De Su Desarrollo Cultural [in Spanish]. Documentos E Investigaciones
   Paul Anne., 1991, PARACAS ART ARCHITEC, P1
   Peters AH, 2009, HILOS PASADO PORTE F, P23
   Peters Ann H, 2011, ACTAS JORNADAS INTER, P231
   Ravines RH, 1970, CIEN ANOS ARQUEOLOGI
   Reindel M, 2009, NAT SCI ARCHAEOL, P1, DOI 10.1007/978-3-540-87438-6
   Reindel M, 2006, JAHRESBERICHTDER SCH, V2005, P30
   Reindel M., 2010, Z ARCHA OLOGIE AUSSE, V3, P207
   Reindel M, 2009, NAT SCI ARCHAEOL, P439, DOI 10.1007/978-3-540-87438-6_25
   Rowe J.H., 1967, Peruvian Archaeology: Selected Readings, P293
   Rowe JohnH., 1967, PERUVIAN ARCHAEOLOGY
   Shadi Solis R, 1995, REV DEPARTAMENTO PRE
   Shady R., 2003, La Ciudad Sagrada de Caral-Supe: Los Orgenes de la Civilizacin Andina y la Formacin del Estado Prstino en el Antiguo Per
   Silverman H., 1991, Paracas Art and Architecture: Object and Context in South Coastal Peru, P349
   Silverman Helaine., 1994, LAT AM ANTIQ, V5, P359
   Tello JulioC., 1959, Paracas: Primera Parte. Publicacion del Protecto 8b del Programa 1941-42
   Tello JulioC., 1979, PARACAS SEGUNDA PART
   Van Gijseghem Hendrik., 2004, Migration, Agency, and Social Change on a Prehistoric Frontier the Paracas- Nasca Transition in the Southern Nasca Drainage, Peru
   Velarde L., 2002, Societe Suisse des Americanistes, V66-67, P95
   Velarde Leonid., 1999, Actes des journees d 'etude d' archeologie precolombienne. Geneve, P63
   Wallace D.T., 1986, Perspectives on Andean Prehistory and Protohistory, P35
   Ziolkowski M., 1994, Andes. Radiocarbon Database for Bolivia
NR 42
TC 2
Z9 2
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-319-47052-8; 978-3-319-47050-4
PY 2016
BP 65
EP 86
DI 10.1007/978-3-319-47052-8_4
D2 10.1007/978-3-319-47052-8
PG 22
WC Anthropology; Archaeology
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Anthropology; Archaeology
GA BJ9IG
UT WOS:000429226000007
DA 2025-01-10
ER

PT J
AU Maphosa, M
   Moyo, P
AF Maphosa, Mandlenkosi
   Moyo, Philani
TI Assessing climate vulnerabilities of urban food systems and
   institutional responses: the case of Bulawayo, Zimbabwe
SO FRONTIERS IN SUSTAINABLE CITIES
LA English
DT Article
DE climate change; vulnerability; urban food systems; adaptive; governance;
   institution; Bulawayo; Zimbabwe
ID AFRICAN CITIES; GOVERNANCE
AB The 21st century has witnessed a notable surge in global urbanization, particularly impacting African cities like Bulawayo, Zimbabwe. However, urban development in these regions has brought about challenges such as rising urban poverty, governance gaps, and service delivery issues. Compounded by climate change threats, urban food systems like those of Bulawayo face heightened vulnerabilities. This study delves into the specific climate vulnerabilities of Bulawayo's urban food system, evaluating the effectiveness of existing institutional frameworks and policies in addressing these challenges. Employing qualitative methods including key informant interviews and policy document analysis, the research highlights critical gaps in the current institutional response to climate-related food system vulnerabilities. Drawing insights from global case studies like New York City and Bangkok, the study provides valuable policy recommendations to enhance the resilience of urban food systems in Bulawayo and similar African cities to climate change impacts. Key findings reveal a robust national institutional framework guiding local authorities, yet there exists a disconnect between policies and climate-sensitive agricultural practices in Bulawayo. However, proactive initiatives by NGOs and the national government show promise in promoting climate resilience. The study underscores the urgent need to bolster agricultural extension services, scale up climate-smart agriculture initiatives, integrate urban agriculture into broader climate adaptation strategies, enhance institutional coordination, and secure sustained funding to fortify urban food systems in Bulawayo against climate vulnerabilities.
C1 [Maphosa, Mandlenkosi; Moyo, Philani] Univ Ft Hare, Ft Hare Inst Social & Econ Res, Alice, South Africa.
C3 University of Fort Hare
RP Maphosa, M (corresponding author), Univ Ft Hare, Ft Hare Inst Social & Econ Res, Alice, South Africa.
EM mmaphosa@ufh.ac.za
FU Sol Plaatje scholarship under Canon Collins Trust of Southern Africa;
   University of Fort Hare
FX The author(s) declare that financial support was received for the
   research, authorship, and/or publication of this article. This study was
   partly funded by Sol Plaatje scholarship under Canon Collins Trust of
   Southern Africa. Publication fees were paid for by the University of
   Fort Hare.
CR Abegunde VO, 2022, COGENT SOC SCI, V8, DOI 10.1080/23311886.2022.2086343
   African Development Bank, 2022, Particularly exposed to climate shocks, African cities are turning to adaptation and resilience
   [Anonymous], 2020, National development strategy 1. Towards a prosperous empowered upper middle-income society by 2030
   [Anonymous], 2014, The State of African Cities 2014: Re-Imagining Sustainable Urban Transitions
   [Anonymous], 2013, Constitution of Zimbabwe Amendment (No.20)
   Appel D., 2020, New York City Legislation to Foster Environmental Sustainability
   Ballantine N, 2008, J FAM ECOL CONSUM SO, V36, P1, DOI 10.4314/jfecs.v36i1.47109
   Battersby J., 2019, How Food Secure are South African Cities?
   Battersby J, 2019, ROUTL STUD FOOD SOC, P56
   BCC, 2024, Council Committees
   Beroske E., 2022, The sustainability of urban rooftop farms
   Berti G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070616
   Blekking J, 2022, CURR OPIN ENV SUST, V55, DOI 10.1016/j.cosust.2022.101169
   Bossio CF, 2022, ENVIRON SCI POLICY, V136, P136, DOI 10.1016/j.envsci.2022.05.009
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Bulawayo City Council, 2007, Urban Agriculture Policy
   Capper L., 2021, The impact of climate change on food Systems in Southeast Madagascar. Sustainable environment, education and development
   Centre for Climate and Energy Solutions, 2017, Resilience strategies for extreme heat
   Chandran R., 2019, Biggest rooftop farm in Asia gets growing in Bangkok
   Creswell J. W., 2012, QUAL INQ
   D'Aoust O., 2021, Demographic Trends and Urbanization
   Dubbeling M., 2019, FIELD ACTIONS SCI RE, V20, P31
   Dube T, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1944486
   FAO, 2016, Sustainable Food Systems: Concept and Framework
   FAO, 2018, Antananarivo: vegetable gardens for school canteens
   FAO, A case study on sustainable urban food development in Lima, Peru
   FAO, 2021, Assessing risk in times of climate change and COVID-19: City region food system of Antananarivo, Madagascar, DOI [10.4060/cb2899en, DOI 10.4060/CB2899EN]
   FEWSNET, 2022, Negative impacts of multiple droughts and cyclones driving high food needs this lean season
   Government of Zimbabwe, 2023, Zimbabwes climate change national adaptation plan
   Government of Zimbabwe Ministry of Environment Climate Tourism and Hospitality in Industry Ministry of Women Affairs Community Small and Medium Enterprises Development, 2023, Zimbabwe climate change gender action plan
   Government of Zimbabwe Ministry of Environment Water and Climate, 2017, National Climate Policy
   Government of Zimbabwe Ministry of Environment Water and Climate, Zimbabwes national climate change response strategy
   Government of Zimbabwe Ministry of Lands Agriculture Fisheries Water and Rural Development, 2023, Government of Zimbabwe (2023) agriculture, food systems and rural transformation strategy: 2023-2025
   Government of Zimbabwe Ministry of Lands Agriculture Water Climate and Rural Resettlement, 2018, National agriculture policy framework (20192030)
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Hamududu BH, 2016, ENERGIES, V9, DOI 10.3390/en9070502
   Haysom G., 2014, Thesis
   Langue CGN, 2023, NAT HAZARD EARTH SYS, V23, P1313, DOI 10.5194/nhess-23-1313-2023
   Li XQ, 2022, CLIMATE, V10, DOI 10.3390/cli10110164
   Ma WL, 2024, ECON ANAL POLICY, V82, P1102, DOI 10.1016/j.eap.2024.05.005
   Madonko V., 2016, Bulawayo: A faded Industrial Giant
   Maphosa M., 2022, A critical analysis of the urban food system, urban governance and household food security in Bulawayo, Zimbabwe
   Mapuva J., 2019, Journal of African Studies and Development, V11, P12, DOI [DOI 10.5897/JASD2018.0527, 10.5897/JASD2018, DOI 10.5897/JASD2018]
   Mavesere F, 2023, GEOJOURNAL, V88, P3455, DOI 10.1007/s10708-022-10812-3
   McQuaid K, 2018, AFRICA, V88, P11, DOI 10.1017/S0001972017000547
   Merzthal G., 2008, Urban Agric. Magazine, V20, P5
   Mujere N., 2021, Assessing the potential contribution of Pfumvudza towards climate smart agriculture in Zimbabwe: a review, P18
   Musemwa M, 2006, J S AFR STUD, V32, P239, DOI 10.1080/03057070600656119
   Mushore TD, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.910816
   Nair S, 2014, J FUTURES STUD, V19, P87
   NaturPhilosophie, 2016, The Fog Harvesters of Lima, Peru
   Nel E., 1992, Dev. South. Afr, V9, P411, DOI [10.1080/03768359208439648, DOI 10.1080/03768359208439648]
   New York City, Cool neighborhoods NYC a comprehensive approach to keep communities safe in extreme heat
   Ngulani T, 2022, FORESTS, V13, DOI 10.3390/f13050741
   Nyikadzino T., 2022, Afr. J. Governance Develop, V11, P213, DOI [10.36369/2616-9045, DOI 10.36369/2616-9045]
   Obeng-Odoom F, 2017, GROWTH CHANGE, V48, P4, DOI 10.1111/grow.12164
   Ogunyiola A, 2022, CLIM POLICY, V22, P411, DOI 10.1080/14693062.2021.2023451
   Paganga L., 2021, Farmers Review Africa
   Parliament of Zimbabwe, 2011, Bulawayo Provincial Profile
   Pasquini L, 2020, CLIM DEV, V12, P408, DOI 10.1080/17565529.2019.1632166
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Pratama HC, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097714
   Ranasinghe R., 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, P1767, DOI [DOI 10.1017/9781009157896.014, 10.1017/9781009157896.014]
   Ranger Terence., 2006, Cultural and Social History, V3, P193, DOI [10.1191/1478003806cs057oa, DOI 10.1191/1478003806CS057OA]
   Resnick D, 2014, DEV POLICY REV, V32, ps3, DOI 10.1111/dpr.12066
   Salami RO, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.370
   Santandreu A, 2018, INTEGRATING FOOD INTO URBAN PLANNING, P117
   Sara L., 2017, Urban water trajectories. Future City, V6
   Siña M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147201
   Sithole SM, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e27275
   Sonneveld B., 2018, FAO land and water discussion paper no. 12
   Trisos CH., 2022, Climate Change 2022: Impacts, P1285, DOI [DOI 10.1017/9781009325844.011, 10.1017/9781009325844.011]
   UN HABITAT, 2022, Urban climate action. The urban content of the NDCs: Global review 2022
   UN-Habitat, 2022, WORLD CIT REP 2022 E
   United Nations Department of Economic and Social Affairs, 2022, Population Division Population Division World Population Prospects
   USAID, 2023, Environment and biodiversity
   Versik Maplecroft, 2018, 84% of world's fastest growing cities face 'extreme' climate change risks
   Wakweya RB, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100698
   World Bank, 2021, Madagascar
   Zehra D, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101270
   Zievergol G., 2022, African cities: climate action plans could help address injustice, inequity
   Zimmer A., 2022, Dynamics of rural-urban food systems in southern Africa
   ZIMSTAT, 2019, Zimbabwe poverty report 2017
   ZIMSTAT, 2023, Zimbabwe 2022 National Population and housing census report, V1
   ZIMVAC, 2023, Zimbabwe vulnerability assessment committee (ZimVAC) 2023 urban livelihoods assessment report
NR 85
TC 0
Z9 0
U1 0
U2 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9634
J9 FRONT SUSTAIN CITIES
JI Front. Sustain. Cities
PD NOV 28
PY 2024
VL 6
AR 1488144
DI 10.3389/frsc.2024.1488144
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Urban Studies
GA P0U5F
UT WOS:001375169300001
OA gold
DA 2025-01-10
ER

PT J
AU Frantová, N
   Porcová, L
   Jovanovic, I
   Elzner, P
   Cerkal, R
   Rábek, M
AF Frantova, Nicole
   Porcova, Lenka
   Jovanovic, Ivana
   Elzner, Petr
   Cerkal, Radim
   Rabek, Michal
TI Spacing strategies for enhancing drought resilience and yield in maize
   agriculture
SO OPEN AGRICULTURE
LA English
DT Article
DE row spacing; water regime; yield improvement; maize cultivation;
   sustainable farming; climate adaptation
ID GRAIN-YIELD; WATER-USE; WHEAT; DENSITY; REGION; IMPACT
AB This study investigates the impact of row spacing management on the yield, tillering, and water retention capacities of two maize varieties (F1 hybrids): Alombo (FAO 240) and SY Ignis (FAO 320). Through a comprehensive field experiment, we explored how varying inter-row and intra-row spacings influence plant physiological traits, including tillering frequency, relative water content (RWC), and yield components such as ear weight, seed number, and thousand kernel weight. Our findings demonstrate that narrower inter-row spacing (0.375 m) coupled with wider intra-row spacing (0.33 m) compared to inter-row spacing (0.75 m) with intra-row spacing (0.16 m) significantly enhances tillering, RWC, and grain yield, particularly for SY Ignis. The study reveals that tillering variability, influenced by spatial arrangement, serves as a potential indicator of yield outcomes, with increased tillering associated with higher biomass production and grain yield. Additionally, the research highlights the critical role of precise spatial arrangement in optimizing maize hydration, underscoring the strategic balance between inter-row and intra-row spacing for maintaining optimal moisture levels and supporting plant health. The results underscore the complexity of row spacing effects, which are not only variety-specific but also dependent on environmental and site-specific conditions, advocating for the adoption of tailored agricultural management practices to optimize crop production efficiency, especially under changing climate conditions.
C1 [Frantova, Nicole; Jovanovic, Ivana; Elzner, Petr; Cerkal, Radim] Mendel Univ Brno, Dept Crop Sci Breeding & Plant Med, Brno 613 00, Czech Republic.
   [Porcova, Lenka; Rabek, Michal] Mendel Univ Brno, Dept Agrosyst & Bioclimatol, Brno 61300, Czech Republic.
C3 Mendel University in Brno; Mendel University in Brno
RP Frantová, N (corresponding author), Mendel Univ Brno, Dept Crop Sci Breeding & Plant Med, Brno 613 00, Czech Republic.
EM xfrantov@mendelu.cz
RI Elzner, Petr/L-5974-2018; Frantová, Nicole/AEX-7888-2022; Jovanović,
   Ivana/GZN-0706-2022; Cerkal, Radim/C-2530-2009
OI Cerkal, Radim/0000-0002-0202-3690; Frantova, Nicole/0000-0003-0418-6554
FU Mendel University in Brno
FX The funding for this article did not come from a specific project, but
   was provided by Mendel University in Brno, which supported the research
   and publication efforts
CR Maddonni GA, 2014, INT J AGRON, V2014, DOI 10.1155/2014/195012
   Barbieri P, 2012, AGRON J, V104, P939, DOI 10.2134/agronj2012.0014
   Bellaloui N, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129913
   Bengough AG, 2012, VADOSE ZONE J, V11, DOI 10.2136/vzj2011.0111
   Bernhard BJ, 2020, AGRON J, V112, P2456, DOI 10.1002/agj2.20245
   Chen JL, 2022, FIELD CROP RES, V289, DOI 10.1016/j.fcr.2022.108738
   Cook BI, 2018, CURR CLIM CHANGE REP, V4, P164, DOI 10.1007/s40641-018-0093-2
   Craine JM, 2013, FUNCT ECOL, V27, P833, DOI 10.1111/1365-2435.12081
   Dhakal M, 2020, AGRON J, V112, P274, DOI 10.1002/agj2.20012
   Hernán RD, 2021, AGR WATER MANAGE, V243, DOI 10.1016/j.agwat.2020.106424
   DOEBLEY J, 1995, GENETICS, V141, P333
   Easterling DR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031541
   Ellsworth PZ, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12071586
   Farnham DE, 2001, AGRON J, V93, P1049, DOI 10.2134/agronj2001.9351049x
   González L, 2001, HANDBOOK OF PLANT ECOPHYSIOLOGY TECHNIQUES, P207
   Haarhoff SJ, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.761121
   Hu W, 2015, AGR WATER MANAGE, V153, P77, DOI 10.1016/j.agwat.2015.02.008
   Hunter MC, 2020, AGRON J, V112, P1748, DOI 10.1002/agj2.20128
   Hussain M, 2016, EXP AGR, V52, P477, DOI 10.1017/S0014479716000053
   Jiang XL, 2018, J ARID LAND, V10, P292, DOI 10.1007/s40333-018-0098-7
   Jiménez S, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00043
   Licht MA, 2019, CROP FORAGE TURF MAN, V5, DOI 10.2134/cftm2019.05.0032
   Liu P, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1147711
   Liu TD, 2012, PHOTOSYNTHETICA, V50, P215, DOI 10.1007/s11099-012-0011-0
   Ma JF, 2024, WATER-SUI, V16, DOI 10.3390/w16010128
   Massigoge I, 2022, CROP SCI, V62, P2451, DOI 10.1002/csc2.20827
   Orsag M., 2022, ACTA UNIV SIL MEND B, V70, P283, DOI [10.11118/actaun.2022.021, DOI 10.11118/actaun.2022.021]
   Salgado JD, 2017, PLANT DIS, V101, P1998, DOI 10.1094/PDIS-03-17-0414-RE
   Spinoni J, 2015, J HYDROL-REG STUD, V3, P509, DOI 10.1016/j.ejrh.2015.01.001
   Sun T, 2020, AGRON J, V112, P2624, DOI 10.1002/agj2.20217
   Thirumalai K, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15531
   Ukpoju Augustine, 2023, E3S Web of Conferences, V444, DOI 10.1051/e3sconf/202344404040
   Veenstra RL, 2023, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1047268
   Veenstra RL, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1223961
   VENEKLAAS E, 1994, NEW PHYTOL, V128, P331, DOI 10.1111/j.1469-8137.1994.tb04017.x
   Wang S, 2021, ECOL EVOL, V11, P10590, DOI 10.1002/ece3.7868
   Whipple CJ, 2011, P NATL ACAD SCI USA, V108, pE506, DOI 10.1073/pnas.1102819108
   Woodward G, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0274
   Zhang X, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13425-6
   Zurbenko IG, 2011, CLIM RES, V46, P67, DOI 10.3354/cr00956
NR 40
TC 0
Z9 0
U1 3
U2 3
PU DE GRUYTER POLAND SP Z O O
PI WARSAW
PA BOGUMILA ZUGA 32A STR, 01-811 WARSAW, MAZOVIA, POLAND
SN 2391-9531
J9 OPEN AGRIC
JI Open Agric.
PD AUG 8
PY 2024
VL 9
IS 1
AR 20220329
DI 10.1515/opag-2022-0329
PG 13
WC Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA C1E6E
UT WOS:001286866600001
OA gold
DA 2025-01-10
ER

PT J
AU Zhang, GP
   Wu, HJ
   Liu, J
   Liu, YC
   Ding, YJ
   Huang, HK
AF Zhang, Guangpeng
   Wu, Huijun
   Liu, Jia
   Liu, Yanchen
   Ding, Yujie
   Huang, Huakun
TI A review on switchable building envelopes for low-energy buildings
SO RENEWABLE & SUSTAINABLE ENERGY REVIEWS
LA English
DT Article
DE Building energy; Switchable envelope; Low-energy building; Carbon
   neutrality
ID HEAT-TRANSFER CHARACTERISTICS; PHASE-CHANGE MATERIALS; TROMBE WALL
   SYSTEM; ELECTROCHROMIC WINDOW; SMART WINDOWS; THERMAL-CHARACTERISTICS;
   THERMOCHROMIC COATINGS; OPTICAL-PROPERTIES; ECONOMIC-ANALYSIS; SOLAR
   PROPERTIES
AB The switchable building envelope is an innovative technology for low-energy buildings that can dynamically switch the thermal and optical properties for energy saving, thereby to contribute carbon neutrality in buildings. This review comprehensively explores switchable building envelopes for low-energy buildings. Variable switchable windows, walls and roofs are reviewed from three perspectives, including switchable parameters, advanced technologies, and impact on heat transfer of building envelopes during heat transfer. Additionally, the review examines the energy efficiency of switchable building envelopes for low-energy buildings through quantitative statistics and analysis. The findings indicate that the annual cooling and heating energy efficiency of low-energy buildings can be improved by an average of 27 % with switchable windows, and an average of 24 % with switchable walls and roofs. The integration of these two types of envelopes with the entire building can further enhance energy efficiency to 63 %-82 %, and even achieve net-zero energy operation. Finally, the prospective in high performance switchable building envelopes could be expected by integrating feasible switchable technologies and evaluating entire year performance, while considering climate adaptivity and renewable energy utilization. The advances on switchable building envelopes could be of significant guidance for promoting the low-energy building applications towards carbon neutrality of the building sector.
C1 [Zhang, Guangpeng; Wu, Huijun; Liu, Jia; Liu, Yanchen; Ding, Yujie] Guangzhou Univ, Sch Civil Engn & Transportat, Guangzhou 510006, Peoples R China.
   [Wu, Huijun] Guangzhou Univ, Guangdong Prov Engn Technol Res Ctr Bldg Thermal E, Guangzhou 510006, Peoples R China.
   [Huang, Huakun] Guangzhou Univ, Sch Comp Sci & Cyber Engn, Guangzhou 510006, Peoples R China.
C3 Guangzhou University; Guangzhou University; Guangzhou University
RP Wu, HJ; Liu, J (corresponding author), Guangzhou Univ, Sch Civil Engn & Transportat, Guangzhou 510006, Peoples R China.
EM wuhuijun@tsinghua.org.cn; jiajia.liu@connect.polyu.hk
RI Liu, Yanchen/H-3553-2019
FU National Natural Science Founda- tion of China [52378092, 52208100];
   Tertiary Education Scientific research project of Guangzhou Municipal
   Education Bureau [202235288, 202235188]
FX <BOLD>Funding</BOLD> This work was sponsored by the National Natural
   Science Founda- tion of China (Grant numbers: 52378092 and 52208100) and
   Tertiary Education Scientific research project of Guangzhou Municipal
   Education Bureau (Grant numbers: 202235288 and 202235188) .
CR Abanda FH, 2016, ENERGY, V97, P517, DOI 10.1016/j.energy.2015.12.135
   Aburas M, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113522
   Aleo F, 2001, ELECTROCHIM ACTA, V46, P2243, DOI 10.1016/S0013-4686(01)00367-X
   Annibaldi V, 2019, RENEW SUST ENERG REV, V116, DOI 10.1016/j.rser.2019.109441
   [Anonymous], 2020, ASTM G173-03 (2012)
   [Anonymous], 2024, The gemini south telescope. Ir transmission spectra
   Bhamare DK, 2020, J ENERGY STORAGE, V32, DOI 10.1016/j.est.2020.101812
   Bianco L, 2017, SOL ENERGY, V155, P372, DOI 10.1016/j.solener.2017.06.029
   Bueno B, 2018, BUILD ENVIRON, V132, P104, DOI 10.1016/j.buildenv.2018.01.031
   Butt AA, 2021, APPL ENERG, V291, DOI 10.1016/j.apenergy.2021.116788
   Carbonari A, 2012, ENERG BUILDINGS, V45, P299, DOI 10.1016/j.enbuild.2011.11.022
   Casini M, 2018, RENEW ENERG, V119, P923, DOI 10.1016/j.renene.2017.12.049
   Chel A, 2008, ENERG BUILDINGS, V40, P1643, DOI 10.1016/j.enbuild.2008.02.019
   Chen JW, 2022, ADV ENERG SUST RES, V3, DOI 10.1002/aesr.202100172
   Chen QY, 2023, BUILD SIMUL-CHINA, V16, P2225, DOI 10.1007/s12273-022-0944-6
   Chen SH, 2024, RENEW SUST ENERG REV, V191, DOI 10.1016/j.rser.2023.114087
   Chen ZX, 2024, RENEW SUST ENERG REV, V192, DOI 10.1016/j.rser.2023.114209
   Chow TT, 2017, SOL ENERGY, V155, P354, DOI 10.1016/j.solener.2017.06.050
   Chow TT, 2011, BUILD ENVIRON, V46, P955, DOI 10.1016/j.buildenv.2010.10.027
   Chow TT, 2011, INT J THERM SCI, V50, P140, DOI 10.1016/j.ijthermalsci.2010.10.006
   Chow TT, 2010, SOL ENERG MAT SOL C, V94, P212, DOI 10.1016/j.solmat.2009.09.004
   Cui HX, 2019, ENERG BUILDINGS, V199, P427, DOI 10.1016/j.enbuild.2019.07.004
   Cunha S, 2022, J ENERGY STORAGE, V53, DOI 10.1016/j.est.2022.105135
   Dabbagh M, 2020, ENERG BUILDINGS, V222, DOI 10.1016/j.enbuild.2020.110025
   Dai MY, 2022, ACS APPL MATER INTER, V14, P53314, DOI 10.1021/acsami.2c16319
   Rocha APD, 2016, ENERG BUILDINGS, V133, P295, DOI 10.1016/j.enbuild.2016.09.058
   de Gracia A, 2015, ENERG BUILDINGS, V103, P414, DOI 10.1016/j.enbuild.2015.06.007
   DeForest N, 2015, BUILD ENVIRON, V89, P107, DOI 10.1016/j.buildenv.2015.02.021
   DeForest N, 2013, BUILD ENVIRON, V61, P160, DOI 10.1016/j.buildenv.2012.12.004
   Desai D, 2014, CONSTR BUILD MATER, V67, P366, DOI 10.1016/j.conbuildmat.2013.12.104
   Fabiani C, 2019, APPL ENERG, V247, P155, DOI 10.1016/j.apenergy.2019.04.020
   Fu XQ, 2014, ORG ELECTRON, V15, P2702, DOI 10.1016/j.orgel.2014.07.040
   Fung TYY, 2008, ENERG BUILDINGS, V40, P341, DOI 10.1016/j.enbuild.2007.03.002
   Garshasbi S, 2019, SOL ENERG MAT SOL C, V191, P21, DOI 10.1016/j.solmat.2018.10.023
   Georg A, 2009, SOL ENERG MAT SOL C, V93, P1329, DOI 10.1016/j.solmat.2009.02.009
   Ghosh A, 2018, SOL ENERG MAT SOL C, V176, P391, DOI 10.1016/j.solmat.2017.10.026
   Ghosh A, 2018, RENEW ENERG, V126, P1003, DOI 10.1016/j.renene.2018.04.038
   Ghosh A, 2018, SOL ENERG MAT SOL C, V174, P572, DOI 10.1016/j.solmat.2017.09.047
   Ghosh A, 2017, SOL ENERG MAT SOL C, V163, P218, DOI 10.1016/j.solmat.2017.01.041
   Ghosh A, 2017, SOL ENERG MAT SOL C, V163, P178, DOI 10.1016/j.solmat.2017.01.036
   Ghosh A, 2016, SOL ENERG MAT SOL C, V157, P1, DOI 10.1016/j.solmat.2016.05.013
   Ghosh A, 2016, APPL ENERG, V180, P695, DOI 10.1016/j.apenergy.2016.08.029
   Ghosh A, 2016, SOL ENERGY, V132, P114, DOI 10.1016/j.solener.2016.02.051
   Ghosh A, 2016, APPL ENERG, V169, P469, DOI 10.1016/j.apenergy.2016.02.031
   Ghosh A, 2015, APPL ENERG, V159, P362, DOI 10.1016/j.apenergy.2015.09.019
   Goia F, 2016, ENERG BUILDINGS, V119, P41, DOI 10.1016/j.enbuild.2016.03.007
   Goia F, 2012, FRONT ARCHIT RES, V1, P341, DOI 10.1016/j.foar.2012.10.002
   Goia F, 2015, ENERG BUILDINGS, V87, P302, DOI 10.1016/j.enbuild.2014.11.019
   Goia F, 2014, SOL ENERGY, V100, P217, DOI 10.1016/j.solener.2013.12.002
   Goia F, 2012, ENRGY PROCED, V30, P428, DOI 10.1016/j.egypro.2012.11.051
   Goia F, 2013, ENERG BUILDINGS, V60, P442, DOI 10.1016/j.enbuild.2013.01.029
   Gong QP, 2022, APPL ENERG, V306, DOI 10.1016/j.apenergy.2021.117981
   Granqvist CG, 2007, SOL ENERG MAT SOL C, V91, P355, DOI 10.1016/j.solmat.2006.10.011
   Granqvist CG, Electrochromics for smart windows: Oxide-based thin films and devices
   Granqvist CG, 2018, SURF COAT TECH, V336, P133, DOI 10.1016/j.surfcoat.2017.08.006
   Harish VSKV, 2016, RENEW SUST ENERG REV, V56, P1272, DOI 10.1016/j.rser.2015.12.040
   Heier J, 2015, RENEW SUST ENERG REV, V42, P1305, DOI 10.1016/j.rser.2014.11.031
   Hu JY, 2019, SOL ENERGY, V193, P866, DOI 10.1016/j.solener.2019.10.021
   Hu ZT, 2017, RENEW SUST ENERG REV, V70, P976, DOI 10.1016/j.rser.2016.12.003
   Huang ZL, 2011, THIN SOLID FILMS, V519, P4246, DOI 10.1016/j.tsf.2011.01.394
   Ibrahim M, 2017, SOL ENERGY, V147, P22, DOI 10.1016/j.solener.2017.02.036
   Imghoure O, 2022, J BUILD ENG, V56, DOI 10.1016/j.jobe.2022.104755
   Jaber S, 2011, SOL ENERGY, V85, P1891, DOI 10.1016/j.solener.2011.04.025
   Jelle BP, 2015, ENERG BUILDINGS, V96, P329, DOI 10.1016/j.enbuild.2015.03.024
   Ji J, 2007, J SOL ENERG-T ASME, V129, P431, DOI 10.1115/1.2770751
   Ji J, 2009, CHINESE SCI BULL, V54, P1949, DOI 10.1007/s11434-009-0353-6
   Ji YX, 2015, DYES PIGMENTS, V117, P72, DOI 10.1016/j.dyepig.2015.01.026
   Joulin A, 2014, APPL THERM ENG, V66, P171, DOI 10.1016/j.applthermaleng.2014.01.027
   Juaristi M, 2018, BUILD ENVIRON, V144, P482, DOI 10.1016/j.buildenv.2018.08.028
   Karlessi T, 2011, BUILD ENVIRON, V46, P570, DOI 10.1016/j.buildenv.2010.09.003
   Karlessi T, 2009, SOL ENERGY, V83, P538, DOI 10.1016/j.solener.2008.10.005
   Ke YJ, 2022, ACS ENERGY LETT, V7, P1758, DOI 10.1021/acsenergylett.2c00419
   Ke YJ, 2019, ADV ENERGY MATER, V9, DOI 10.1002/aenm.201902066
   Ke YJ, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201800113
   Kim JH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041815
   Kimber M, 2014, APPL ENERG, V114, P310, DOI 10.1016/j.apenergy.2013.09.067
   Koudoumas E, 2023, ENERGY NEXUS, V11, DOI 10.1016/j.nexus.2023.100237
   Kraft A, 2006, SOL ENERG MAT SOL C, V90, P469, DOI 10.1016/j.solmat.2005.01.019
   Kraft A, 2007, ELECTROCHIM ACTA, V52, P5856, DOI 10.1016/j.electacta.2007.03.012
   Krzaczek M, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113711
   Krzaczek M, 2011, ENERG BUILDINGS, V43, P823, DOI 10.1016/j.enbuild.2010.12.002
   Kumar D, 2020, RENEW SUST ENERG REV, V131, DOI 10.1016/j.rser.2020.110038
   Lee ES, 2013, SOL ENERG MAT SOL C, V116, P14, DOI 10.1016/j.solmat.2013.03.043
   Lee ES, 2006, ENERG BUILDINGS, V38, P30, DOI 10.1016/j.enbuild.2005.02.009
   Li AB, 2016, ENERG BUILDINGS, V121, P139, DOI 10.1016/j.enbuild.2016.04.005
   Li SH, 2016, SUSTAIN CITIES SOC, V27, P15, DOI 10.1016/j.scs.2016.08.014
   Li SH, 2014, ENERG BUILDINGS, V85, P483, DOI 10.1016/j.enbuild.2014.09.054
   Li X, 2023, RENEW SUST ENERG REV, V174, DOI 10.1016/j.rser.2022.113137
   Li XY, 2021, ACS APPL MATER INTER, V13, P21733, DOI 10.1021/acsami.1c02368
   Li ZR, 2018, ENERG BUILDINGS, V170, P40, DOI 10.1016/j.enbuild.2018.03.071
   Lin CJ, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn7359
   Liu X., 2022, Adv. Photonics Nexus, V1, P1, DOI [10.1007/s44223-022-00009-6, DOI 10.1007/S44223-022-00009-6]
   Liu ZJ, 2018, ENERG BUILDINGS, V167, P312, DOI 10.1016/j.enbuild.2018.03.016
   Lollini R, 2010, SOL ENERGY, V84, P526, DOI 10.1016/j.solener.2009.12.006
   Long LS, 2015, SOL ENERGY, V120, P55, DOI 10.1016/j.solener.2015.07.025
   Luo YQ, 2019, RENEW SUST ENERG REV, V104, P470, DOI 10.1016/j.rser.2019.01.005
   Ma QS, 2018, APPL ENERG, V222, P861, DOI 10.1016/j.apenergy.2018.04.010
   Mann D, 2020, ENERGIES, V13, DOI 10.3390/en13112842
   Melero S, 2011, Architecture & sustainable development, V2, P267
   Mi XM, 2016, APPL ENERG, V175, P324, DOI 10.1016/j.apenergy.2016.05.032
   Mustafa MN, 2023, RENEW SUST ENERG REV, V181, DOI 10.1016/j.rser.2023.113355
   Nagy Z, 2016, FRONT ARCHIT RES, V5, P143, DOI 10.1016/j.foar.2016.03.002
   Niu FX, 2016, ENERGY, V97, P36, DOI 10.1016/j.energy.2015.12.094
   Park B, 2016, ENERG BUILDINGS, V124, P88, DOI 10.1016/j.enbuild.2016.04.070
   Park S, 2009, THIN SOLID FILMS, V517, P3183, DOI 10.1016/j.tsf.2008.11.115
   Pflug T, 2017, ENERG BUILDINGS, V154, P391, DOI 10.1016/j.enbuild.2017.08.033
   Pielichowska K, 2014, PROG MATER SCI, V65, P67, DOI 10.1016/j.pmatsci.2014.03.005
   Programme UNE, 2022, Global Status Report, P2022
   Rabani M, 2015, SOL ENERGY, V118, P359, DOI 10.1016/j.solener.2015.06.002
   Rabani M, 2015, ENERG BUILDINGS, V102, P45, DOI 10.1016/j.enbuild.2015.05.010
   Rathore PKS, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103690
   Rc A, 2020, J Build Eng
   Roberts DR, 2009, Office of Scientific & Technical Information Technical Reports
   Saadatian O, 2012, RENEW SUST ENERG REV, V16, P6340, DOI 10.1016/j.rser.2012.06.032
   Santos RA, 2020, ENERG BUILDINGS, V217, DOI 10.1016/j.enbuild.2020.109968
   Serra V, 2010, ENERG BUILDINGS, V42, P50, DOI 10.1016/j.enbuild.2009.07.010
   Shen C, 2017, ENERG BUILDINGS, V138, P318, DOI 10.1016/j.enbuild.2016.12.064
   Si PF, 2020, APPL ENERG, V269, DOI 10.1016/j.apenergy.2020.115175
   Singh R, 2011, ENERGY, V36, P2802, DOI 10.1016/j.energy.2011.02.021
   Sommese F, 2023, RENEW SUST ENERG REV, V188, DOI 10.1016/j.rser.2023.113847
   Stazi F, 2012, ENERG BUILDINGS, V47, P217, DOI 10.1016/j.enbuild.2011.11.039
   Sun XQ, 2014, ENERG CONVERS MANAGE, V83, P73, DOI 10.1016/j.enconman.2014.03.035
   Svetozarevic B, 2019, NAT ENERGY, V4, P671, DOI 10.1038/s41560-019-0424-0
   Tabadkani A, 2023, BUILD SIMUL-CHINA, V16, P1239, DOI 10.1007/s12273-023-1003-7
   Tabadkani A, 2019, AUTOMAT CONSTR, V106, DOI 10.1016/j.autcon.2019.102857
   Tabadkani A, 2018, BUILD SIMUL-CHINA, V11, P663, DOI 10.1007/s12273-018-0433-0
   Taha M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17937-3
   Tan YT, 2023, BUILD SIMUL-CHINA, V16, P2343, DOI 10.1007/s12273-023-1011-7
   Tang KC, 2021, SCIENCE, V374, P1504, DOI 10.1126/science.abf7136
   Testa J, 2017, RENEW SUST ENERG REV, V77, P451, DOI 10.1016/j.rser.2017.04.030
   Tong SW, 2021, RENEW SUST ENERG REV, V152, DOI 10.1016/j.rser.2021.111615
   Torres JC, 2014, MATERIALS, V7, P3512, DOI 10.3390/ma7053512
   Valentin L, 2022, ENERG BUILDINGS, V259, DOI 10.1016/j.enbuild.2022.111868
   Vu TD, 2022, MATER TODAY ENERGY, V26, DOI 10.1016/j.mtener.2022.100978
   Wang C, 2018, APPL ENERG, V224, P671, DOI 10.1016/j.apenergy.2018.05.018
   Wang C, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113506
   Wang C, 2019, ENERGY, V173, P38, DOI 10.1016/j.energy.2019.02.051
   Wang SC, 2023, MATER HORIZ, V10, P4243, DOI 10.1039/d3mh00671a
   Wang SC, 2021, SCIENCE, V374, P1501, DOI 10.1126/science.abg0291
   Wang SC, 2021, NANO ENERGY, V89, DOI 10.1016/j.nanoen.2021.106440
   Wang XL, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111434
   Wang ZY, 2021, APPL ENERG, V294, DOI 10.1016/j.apenergy.2021.116969
   Wu HJ, 2023, CONSTR BUILD MATER, V366, DOI 10.1016/j.conbuildmat.2022.130166
   Wu XL, 2024, Adv Funct Mater, V34
   Xu L, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110398
   Xu XH, 2010, ENERG BUILDINGS, V42, P1567, DOI 10.1016/j.enbuild.2010.05.002
   Yang C, 2015, ENERG BUILDINGS, V87, P25, DOI 10.1016/j.enbuild.2014.10.075
   Yang Y, 2022, RENEW SUST ENERG REV, V167, DOI 10.1016/j.rser.2022.112738
   Yang Y, 2021, ENERG CONVERS MANAGE, V244, DOI 10.1016/j.enconman.2021.114509
   Ye H, 2013, SOL ENERG MAT SOL C, V117, P168, DOI 10.1016/j.solmat.2013.05.061
   Yu CR, 2021, RENEW ENERG, V178, P1057, DOI 10.1016/j.renene.2021.07.001
   Zhai Y, 2017, SCIENCE, V355, DOI 10.1126/science.aai7899
   Zhang GP, 2023, BUILD SIMUL-CHINA, V16, P2245, DOI 10.1007/s12273-022-0932-x
   Zhang SL, 2018, ENERG ENVIRON SCI, V11, P2884, DOI 10.1039/c8ee01718b
   Zhang YK, 2022, J ENERGY STORAGE, V52, DOI 10.1016/j.est.2022.105019
   Zhang ZG, 2022, RENEW ENERG, V195, P1037, DOI 10.1016/j.renene.2022.06.054
   Zhang ZG, 2014, ENERG BUILDINGS, V84, P111, DOI 10.1016/j.enbuild.2014.08.016
   Zhao B, 2019, APPL ENERG, V236, P489, DOI 10.1016/j.apenergy.2018.12.018
   Zheng Q, 2021, Construction Science and Technology, P56
   Zheng SL, 2022, ENERGY, V254, DOI 10.1016/j.energy.2022.124237
   Zheng SJ, 2015, SOL ENERGY, V112, P263, DOI 10.1016/j.solener.2014.09.049
   Zhou LQ, 2020, APPL THERM ENG, V176, DOI 10.1016/j.applthermaleng.2020.115477
   Zhou ZY, 2024, ADV OPT MATER, V12, DOI 10.1002/adom.202302851
   Zhu QY, 2016, INT J THERM SCI, V108, P70, DOI 10.1016/j.ijthermalsci.2016.05.004
   Zhu QY, 2014, INT J THERM SCI, V76, P258, DOI 10.1016/j.ijthermalsci.2013.09.008
NR 165
TC 1
Z9 1
U1 50
U2 50
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1364-0321
EI 1879-0690
J9 RENEW SUST ENERG REV
JI Renew. Sust. Energ. Rev.
PD SEP
PY 2024
VL 202
AR 114716
DI 10.1016/j.rser.2024.114716
EA JUL 2024
PG 26
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA XY3R9
UT WOS:001265207200001
DA 2025-01-10
ER

PT J
AU Wang, LF
   Onn, CC
   Chew, BT
   Li, WY
   Li, YC
AF Wang, Linfeng
   Onn, Chiu Chuen
   Chew, Bee Teng
   Li, Wuyan
   Li, Yongcai
TI Numerical Study of the Solar Energy-Powered Embedded Pipe Envelope
   System
SO BUILDINGS
LA English
DT Article
DE solar energy; embedded pipe wall; climate adaptability; parameter
   analysis
ID BUILDING ENVELOPE; THERMAL PERFORMANCE; WALL; WATER; OPTIMIZATION;
   TEMPERATURE; EFFICIENCY; REDUCTION; DESIGN; ROOF
AB This study introduces a Solar Energy-Powered Embedded Pipe Envelope System (SEPES) designed to enhance indoor thermal comfort and reduce heating loads during the heating season. To achieve this objective, a dynamic simulation model coupling a SEPES and building thermal environment was established under the TRNSYS environment. Based on the model, a case analysis was conducted to investigate the operational characteristics of the system during the heating season in a rural building in Beijing. The results indicate that, on the coldest heating day, the system can elevate the indoor temperature by 14.5 degrees C, reducing the daily heat load from 76.3 kWh to 20.3 kWh, achieving a remarkable energy savings of 73.4%. Additionally, due to the utilization of lower solar heat collection temperatures, the energy efficiency of the system reaches 26.9%. Throughout the entire heating season, the SEPES system enhances the natural indoor temperature by 13.3 degrees C to 16.6 degrees C, demonstrating significant effectiveness. Moreover, regional adaptability analysis indicates that the SEPES achieves energy savings ranging from 43.9% to 66% during the heating season in cold regions and regions with hot summers and cold winters in China. Overall, the SEPES is most suitable for climates characterized by both low temperatures and abundant solar radiation in order to achieve optimal performance.
C1 [Wang, Linfeng; Onn, Chiu Chuen] Univ Malaya, Fac Engn, Dept Civil Engn, Lembah Pantai 50603, Kuala Lumpur, Malaysia.
   [Wang, Linfeng] Sichuan Univ Sci & Engn, Sch Civil Engn, Zigong 643000, Peoples R China.
   [Chew, Bee Teng] Univ Malaya, Fac Engn, Dept Mech Engn, Lembah Pantai 50603, Kuala Lumpur, Malaysia.
   [Li, Wuyan] Kunming Univ Sci & Technol, Fac Civil Engn & Mech, Yunnan Key Lab Disaster Reduct Civil Engn, Kunming 650500, Peoples R China.
   [Li, Yongcai] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China.
C3 Universiti Malaya; Sichuan University of Science & Engineering;
   Universiti Malaya; Kunming University of Science & Technology; Chongqing
   University
RP Onn, CC (corresponding author), Univ Malaya, Fac Engn, Dept Civil Engn, Lembah Pantai 50603, Kuala Lumpur, Malaysia.
EM linfengwang@outlook.com; onnchiuchuen@um.edu.my; chewbeeteng@um.edu.my;
   wuyanlee@foxmail.com; yongcai85@163.com
RI Li, Wuyan/GLT-8999-2022; wang, linfeng/HJA-2637-2022; Onn, Chiu
   Chuen/B-9460-2010; CHEW, BEE TENG/B-8374-2010
OI Onn, Chiu Chuen/0000-0002-5093-5651; CHEW, BEE TENG/0000-0002-2101-9638
FU Yunnan Fundamental Research Projects
FX No Statement Available
CR Alaidroos A, 2015, ENERG BUILDINGS, V86, P104, DOI 10.1016/j.enbuild.2014.09.083
   [Anonymous], 2007, National Civil Building Engineering Design Technical Measures of China
   Bucarelli N, 2024, ENERG BUILDINGS, V308, DOI 10.1016/j.enbuild.2024.113888
   Cao XD, 2016, ENERG BUILDINGS, V128, P198, DOI 10.1016/j.enbuild.2016.06.089
   Chiam ZL, 2022, APPL ENERG, V321, DOI 10.1016/j.apenergy.2022.119377
   Deng MS, 2021, ENERG BUILDINGS, V240, DOI 10.1016/j.enbuild.2021.110881
   Ding Y, 2022, BUILD SIMUL-CHINA, V15, P333, DOI 10.1007/s12273-021-0813-8
   Facao J, 2000, APPL THERM ENG, V20, P1225, DOI 10.1016/S1359-4311(99)00096-4
   Gwerder M, 2009, APPL ENERG, V86, P1606, DOI 10.1016/j.apenergy.2009.01.008
   Ibrahim M, 2014, ENERGY, V78, P834, DOI 10.1016/j.energy.2014.10.078
   Klein S., 2018, Renewable Energy, VVolume 2, P382
   Koschenz M, 1999, ENERG BUILDINGS, V30, P139, DOI 10.1016/S0378-7788(98)00081-4
   Krajcík M, 2020, ENERG BUILDINGS, V229, DOI 10.1016/j.enbuild.2020.110524
   Kümpel A, 2022, J THERM SCI, V31, P1293, DOI 10.1007/s11630-022-1616-7
   Li AB, 2016, ENERG BUILDINGS, V121, P139, DOI 10.1016/j.enbuild.2016.04.005
   Li AT, 2023, ENERG FUEL, V37, P13645, DOI 10.1021/acs.energyfuels.3c00812
   Li SY, 2022, APPL THERM ENG, V215, DOI 10.1016/j.applthermaleng.2022.118944
   Li WY, 2018, INT J HEAT MASS TRAN, V124, P1245, DOI 10.1016/j.ijheatmasstransfer.2018.04.041
   Li WY, 2022, ENERGY, V254, DOI 10.1016/j.energy.2022.124396
   Liu JY, 2016, PROCEDIA ENGINEER, V146, P558, DOI 10.1016/j.proeng.2016.06.401
   Mahmoodzadeh M, 2021, J BUILD ENG, V40, DOI 10.1016/j.jobe.2021.102712
   Mikeska T, 2017, ENERG BUILDINGS, V139, P242, DOI 10.1016/j.enbuild.2017.01.033
   Monna S., 2016, Energy, V4, P2
   Niu FX, 2016, ENERGY, V97, P36, DOI 10.1016/j.energy.2015.12.094
   Omer AM, 2008, RENEW SUST ENERG REV, V12, P2265, DOI 10.1016/j.rser.2007.05.001
   Oravec J, 2021, J BUILD ENG, V36, DOI 10.1016/j.jobe.2020.102133
   Popescu L., 2021, Renewable Energy Sources Used for a Low Energy Building Rehabilitation
   Rawat M., 2022, Energy and Built Environment, V3, P327, DOI [10.1016/j.enbenv.2021.03.001, DOI 10.1016/J.ENBENV.2021.03.001]
   Shamoushaki M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-47850-x
   Shen C, 2017, ENERG BUILDINGS, V138, P318, DOI 10.1016/j.enbuild.2016.12.064
   Shen C, 2016, APPL THERM ENG, V106, P1103, DOI 10.1016/j.applthermaleng.2016.06.073
   Soni SK, 2015, RENEW SUST ENERG REV, V47, P83, DOI 10.1016/j.rser.2015.03.014
   Vangtook P, 2007, BUILD ENVIRON, V42, P543, DOI 10.1016/j.buildenv.2005.09.014
   Venko S, 2015, ENERG BUILDINGS, V98, P151, DOI 10.1016/j.enbuild.2014.08.036
   Villar-Ramos MM, 2022, ENERGIES, V15, DOI 10.3390/en15176179
   Xie JL, 2012, J CENT SOUTH UNIV, V19, P1663, DOI 10.1007/s11771-012-1190-3
   Xu GY, 2022, ENERGY, V243, DOI 10.1016/j.energy.2021.123087
   Xu K, 2023, J BUILD ENG, V71, DOI 10.1016/j.jobe.2023.106582
   Xu XH, 2010, ENERG BUILDINGS, V42, P1567, DOI 10.1016/j.enbuild.2010.05.002
   Ye MZ, 2021, APPL THERM ENG, V196, DOI 10.1016/j.applthermaleng.2021.117280
   Yu JH, 2020, RENEW ENERG, V147, P1609, DOI 10.1016/j.renene.2019.09.115
   Yu JH, 2019, ENRGY PROCED, V158, P3045, DOI 10.1016/j.egypro.2019.01.989
   Yu YB, 2016, ENERGY, V99, P250, DOI 10.1016/j.energy.2016.01.051
   Zhang ZG, 2014, ENERG BUILDINGS, V84, P111, DOI 10.1016/j.enbuild.2014.08.016
   Zhou LQ, 2020, APPL THERM ENG, V176, DOI 10.1016/j.applthermaleng.2020.115477
NR 45
TC 1
Z9 1
U1 3
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAR
PY 2024
VL 14
IS 3
AR 613
DI 10.3390/buildings14030613
PG 16
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA MD5W6
UT WOS:001191711600001
OA gold
DA 2025-01-10
ER

PT J
AU Park, J
   Lee, KH
   Lee, SH
   Hong, T
AF Park, Jiwon
   Lee, Kwang Ho
   Lee, Sang Hoon
   Hong, Tianzhen
TI Benefits assessment of cool skin and ventilated cavity skin: Saving
   energy and mitigating heat and grid stress
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Cool skin; Ventilated cavity skin; Future weather; Building energy;
   Thermal comfort; Thermal resilience
ID PERFORMANCE; FACADES; ROOF
AB This study assessed the energy-saving and climate-adaptive potential of cool skin and ventilated cavity skin facade technologies in Seoul's high-rise apartment buildings. We created weather scenarios for historical, midterm future, and long-term future conditions using Coordinated Regional Downscaling EXperiment (CORDEX) method. Building energy simulations were conducted on a South Korean high-rise apartment model to evaluate their performance under different weather conditions. The results indicate that cool skin and ventilated cavity skin technologies can save cooling energy during summers but lead to heating energy penalties in winters. Ventilated cavity skin outperforms cool skin, offering better cooling energy savings and reduced heating penalties. Combining both technologies yields the highest overall energy savings, with 7 %, 9 %, and 10 % cooling energy savings for cool skin, ventilated cavity skin, and the combined package, respectively. However, cool skin increases heating energy consumption by 5 %, while ventilated cavity skin has minimal impact on heating energy. These envelope technologies also reduce peak electricity demand by at least 5 %, 8 %, and 9 %, respectively. They contribute to heat stress reduction, enhance resilience, and decrease extreme heat risks for occupants during power outages by at least 18 % under various weather conditions. Considering the prevalence of aging high-rise apartments in South Korea, adopting these envelope renovation strategies can effectively reduce cooling loads, enhance thermal comfort, and boost resilience under future climates, while avoiding costly reconstruction.
C1 [Park, Jiwon; Lee, Kwang Ho] Korea Univ, Dept Architecture, Seoul, South Korea.
   [Lee, Sang Hoon; Hong, Tianzhen] Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA USA.
   [Lee, Sang Hoon] 1 Cyclotron Rd,Bldg 90-3111R, Berkeley, CA 94720 USA.
C3 Korea University; United States Department of Energy (DOE); Lawrence
   Berkeley National Laboratory
RP Lee, SH (corresponding author), 1 Cyclotron Rd,Bldg 90-3111R, Berkeley, CA 94720 USA.
EM sanghlee@lbl.gov
RI Hong, Tianzhen/D-3256-2013
OI Hong, Tianzhen/0000-0003-1886-9137; Lee, Sang Hoon/0000-0002-0127-5386;
   Park, Jiwon/0009-0001-7324-2567
FU Korea Institute of Energy Technology Evaluation and Planning (KETEP);
   Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea
   [20224000000560]; National Research Foundation of Korea (NRF) - Korea
   government (MSIT) [RS-2023-00217322]
FX This work was supported by the Korea Institute of Energy Technology
   Evaluation and Planning (KETEP) and the Ministry of Trade, Industry &
   Energy (MOTIE) of the Republic of Korea (No. 20224000000560) , and
   National Research Foundation of Korea (NRF) grant funded by the Korea
   government (MSIT) (No. RS-2023-00217322) .
CR [Anonymous], 2004, Thermal Environmental Conditions for Human Occupancy, DOI DOI 10.1121/1.4743243
   [Anonymous], AR6 Synthesis Report: Climate Change 2022
   [Anonymous], 2017, Energy Performance of BuildingsOverarching EPB AssessmentPart 1: General Framework and Procedures
   ANSI/ASHRAE, 2020, Thermal Environmental Conditions for Human Occupancy
   Bannier E., 2019, Contribution of the ventilated facade to building energy demand
   Barbosa S, 2014, RENEW SUST ENERG REV, V40, P1019, DOI 10.1016/j.rser.2014.07.192
   Bruck A, 2022, ENERG BUILDINGS, V275, DOI 10.1016/j.enbuild.2022.112493
   Casey JA, 2020, CURR ENV HLTH REP, V7, P371, DOI 10.1007/s40572-020-00295-0
   Chan ALS, 2009, ENERG BUILDINGS, V41, P1135, DOI 10.1016/j.enbuild.2009.05.012
   Danks R, 2016, BUILD ENVIRON, V103, P193, DOI 10.1016/j.buildenv.2016.04.017
   Dominguez-Torres CA, 2022, MATHEMATICS-BASEL, V10, DOI 10.3390/math10010163
   Elaouzy Y, 2022, RENEW SUST ENERG REV, V167, DOI 10.1016/j.rser.2022.112828
   ESGF-LLNL - Home | ESGF-CoG, About us
   Evans M., 2009, Country Report on Building Energy Codes in Japan
   Gilbert H., 2019, Heat Island Mitigation Assessment and Policy Development for the Kansas City Region, DOI [10.20357/B7JG61, DOI 10.20357/B7JG61]
   Guglielmetti R., 2011, PREPRINT
   Haeng-pil Jo, 2017, 한국건축친환경설비학회 논문집, V11, P52
   Ham S., 2010, A Quantitative Analysis of the Apartment Unit Types in South Korea, V34, P47
   Hashemi N, 2010, ENERG BUILDINGS, V42, P1823, DOI 10.1016/j.enbuild.2010.05.019
   Ho CK, 2011, J SOL ENERG-T ASME, V133, DOI 10.1115/1.4004349
   Holzer P., 2019, IEA EBC ANNEX 80 RES
   International Energy Agency, Buildings, IEA
   International Organization for Standardization [ISO], 2017, 177721 ISO
   IPCC, 2023, Representative Concentration Pathways (RCPs)
   Kim B., 2018, Daehan Econ
   Kim D. W., DEV REFERENCE BUILDI, DOI [10.26868/25222708.2017.789, DOI 10.26868/25222708.2017.789]
   Korea Institute of, 2020, Energy Efficiency and Conservation
   황지현, 2016, [Journal of The Urban Design Insitute of Korea, 도시설계], V17, P65
   Levinson R., 2023, Methodology to Assess Performance of Resilient Cooling Technologies
   Liu S, 2020, ENERG BUILDINGS, V228, DOI 10.1016/j.enbuild.2020.110469
   Machard A, 2020, ENERGIES, V13, DOI 10.3390/en13133424
   Machard Anais, 2023, Paper #: SDATA-23-00603A
   Max Planck Institute for Evolutionary Biology, 2017, Fish stocking
   Met Office Hadley Centre, 2012, Wcrp CMIP5: met Office Hadley Centre (MOHC) HadGEM2-ES model output collection
   Ministry of Land Infrastructure and Transport, 2019, enhanced energy efficiency through green building policies, such as strengthening insulation standards
   Ministry of Land Infrastructure and Transport, 2020, Statistics on Energy Consumption of Buildings by Main Use
   N. US Department of Commerce, Heat Index Chart
   Norwegian Climate Centre, 2017, Wcrp cmip5: Norwegian climate centre (ncc) noresm1-m model output collection
   Pernigotto G, 2014, ENERG BUILDINGS, V72, P62, DOI 10.1016/j.enbuild.2013.12.012
   Pisello AL, 2017, ENERG BUILDINGS, V157, P35, DOI 10.1016/j.enbuild.2017.04.054
   Rosado PJ, 2019, ENERG BUILDINGS, V199, P588, DOI 10.1016/j.enbuild.2019.02.028
   Rothfusz L.P., 1990, HEAT INDEX EQUATION
   Seoul Solution, 2018, New Renewable Energy: One Less Nuclear Power Plant
   SHARMA VC, 1989, ENERGY, V14, P805, DOI 10.1016/0360-5442(89)90034-0
   Sheng MG, 2023, BUILD ENVIRON, V230, DOI 10.1016/j.buildenv.2023.110001
   Sovacool BK, 2023, ENERGY CLIM CHANG-UK, V4, DOI 10.1016/j.egycc.2023.100103
   Statistics Korea, 2021, Population Census
   Sun XN, 2018, J CLEAN PROD, V183, P35, DOI 10.1016/j.jclepro.2018.02.137
   Susanti L, 2011, ENERG BUILDINGS, V43, P211, DOI 10.1016/j.enbuild.2010.09.009
   Tartarini F, 2020, SOFTWAREX, V12, DOI 10.1016/j.softx.2020.100578
   U.S. Department of Energy, 2022, Engineering Reference
   U.S. Green Building Council, 2021, Passive Survivability and Back-Up Power during Disruption (LEED V4 Pilot Credit IPpc100)
   소광호, 2014, [journal of the regional association of architectural institute of korea, 대한건축학회연합논문집], V16, P225
   You QL, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00303-0
   Zhang C., 2023, IEA EBC Annex 80-Dynamic Simulation Guideline for the Performance Testing of Resilient Cooling Strategies: Version 2
   Zhang C, 2021, ENERG BUILDINGS, V251, DOI 10.1016/j.enbuild.2021.111312
NR 56
TC 3
Z9 3
U1 4
U2 10
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JAN 1
PY 2024
VL 247
AR 111027
DI 10.1016/j.buildenv.2023.111027
EA NOV 2023
PG 16
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA AK9N3
UT WOS:001118477900001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Takci, HAM
   Karaca, C
   Onalan, ES
   Guler, KC
AF Takci, Hatice Aysun Mercimek
   Karaca, Cevher
   Onalan, Esen Sarigullu
   Guler, Kivilcim Caktu
TI Microbial water quality of pond Alleben (Gaziantep, Turkey) in winter
   and climatic changes in the region
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE antibiotic resistance; methodological approaches; qPCR; warming; water
   quality
ID HEAVY-METAL RESISTANCE; CULTURE-BASED METHODS; REAL-TIME PCR;
   ESCHERICHIA-COLI; QUANTITATIVE PCR; ENTEROCOCCUS SPP.; PATHOGENIC
   BACTERIA; INDICATOR BACTERIA; DRINKING-WATER; ENUMERATION
AB The goal of this study is to assess the microbial quality of water sources in winter by microbiological methods and molecular-based quantitative polymerase chain reaction (qPCR) applications and potential future bacterial loads in the Alleben pond based on the increase in water temperature. Total bacteria, total coliform, and Escherichia coli levels using the qPCR assay were significantly higher than those enumerated by culture-dependent microbiological methods in the water sample. These results stated that our real-time PCR approach can be suitable to estimate the relative abundances of uncultured and cultured indicator microorganisms affected by the water characteristics. Based on our climate data, the daily average rate of 1.8 degrees C/increase associated with air temperature for the pond was recorded. As a result of the warming of the water surface, temperature thresholds in winter may reach, and thus, the physicochemical and biological properties of the pond may change by increasing bacterial growth rates. This study is the first analysis to apply combined climate change with molecular approaches to better understand how bacterial concentrations in aquatic environments may change in future based on air temperature variations for the Gaziantep region. This analysis indicates to developing surface water treatment measures and climate adaptation strategies that may reduce bacterial contamination in the Alleben pond.
C1 [Takci, Hatice Aysun Mercimek] Kilis 7 Aralik Univ, Mol Biol & Genet Dept, Fac Sci, TR-79000 Kilis, Turkiye.
   [Karaca, Cevher] Kilis 7 Aralik Univ, Inst Sci & Technol, TR-79000 Kilis, Turkiye.
   [Onalan, Esen Sarigullu] Kilis 7 Aralik Univ, Yusuf Serefoglu Fac Hlth Sci, Nursing Dept, TR-79000 Kilis, Turkiye.
   [Guler, Kivilcim Caktu] Hacettepe Univ, Chem Dept, Fac Sci, Ankara, Turkiye.
C3 Kilis 7 Aralik University; Kilis 7 Aralik University; Kilis 7 Aralik
   University; Hacettepe University
RP Takci, HAM (corresponding author), Kilis 7 Aralik Univ, Mol Biol & Genet Dept, Fac Sci, TR-79000 Kilis, Turkiye.
OI mercimek, hatice aysun/0000-0002-5394-4959
CR Acharya K, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51997-x
   Ahmed W, 2012, ENVIRON SCI TECHNOL, V46, P11370, DOI 10.1021/es302222b
   Akcakaya A., 2015, TURKEYS CLIMATE PROJ
   Allen MJ, 2004, INT J FOOD MICROBIOL, V92, P265, DOI 10.1016/j.ijfoodmicro.2003.08.017
   Altug G, 2020, JOHNSON MATTHEY TECH, V64, P507, DOI 10.1595/205651320X15953337767424
   [Anonymous], 2005, TS266 2005 SULARINS
   APHA, 1998, Standard Methods for the Examination of Water and Wastewater, method 3030, V20
   BAUER AW, 1966, AM J CLIN PATHOL, V45, P493
   BEJ AK, 1991, APPL ENVIRON MICROB, V57, P1013, DOI 10.1128/AEM.57.4.1013-1017.1991
   BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
   Chern E. C., 2009, EPA NAT BEACH C
   Converse RR, 2012, APPL ENVIRON MICROB, V78, P1237, DOI 10.1128/AEM.07136-11
   Dakhlalla AO, 2020, J WATER CLIM CHANGE, V11, P1250, DOI 10.2166/wcc.2019.211
   Demircan M., 2017, Turkish Journal of Water Science and Management, V1, P22, DOI [DOI 10.31807/TJWSM.297183, 10.31807/tjwsm.297183]
   Dinakaran DR, 2022, WATER PRACT TECHNOL, V17, P708, DOI 10.2166/wpt.2022.017
   Dorevitch S, 2017, ENVIRON HEALTH-GLOB, V16, DOI 10.1186/s12940-017-0256-y
   Douterelo I, 2014, WATER RES, V65, P134, DOI 10.1016/j.watres.2014.07.008
   Eissa M. E., 2022, HIGHTECH INNOVATION, V3, P28, DOI [10.28991/hij-2022-03-01-03, DOI 10.28991/HIJ-2022-03-01-03, 10.28991/HIJ-2022-03-01-03]
   Ferguson AS, 2012, SCI TOTAL ENVIRON, V431, P314, DOI 10.1016/j.scitotenv.2012.05.060
   Fonseca A, 2015, RIVER RES APPL, V31, P1344, DOI 10.1002/rra.2821
   Francy DS, 2013, LAKE RESERV MANAGE, V29, P99, DOI 10.1080/10402381.2013.789941
   Girgibo N, 2023, SCI TOTAL ENVIRON, V874, DOI 10.1016/j.scitotenv.2023.162599
   Girones R, 2010, WATER RES, V44, P4325, DOI 10.1016/j.watres.2010.06.030
   GORCHEV HG, 1984, WHO CHRON, V38, P104
   Icgen B, 2014, B ENVIRON CONTAM TOX, V93, P735, DOI 10.1007/s00128-014-1383-6
   Ismail WNW, 2022, CIV ENG J-TEHRAN, V8, P1787, DOI 10.28991/CEJ-2022-08-09-03
   Jayakody P, 2015, HUM ECOL RISK ASSESS, V21, P691, DOI 10.1080/10807039.2014.909188
   Kalkan S, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08310-5
   Krapf T, 2016, WATER SCI TECH-W SUP, V16, P1674, DOI 10.2166/ws.2016.052
   KRUMPERMAN PH, 1983, APPL ENVIRON MICROB, V46, P165, DOI 10.1128/AEM.46.1.165-170.1983
   Ludwig W, 2000, SYST APPL MICROBIOL, V23, P556, DOI 10.1016/S0723-2020(00)80030-2
   Matyar F., 2009, RES J BIOL SCI, V2, P1
   Matyar F, 2014, ANN MICROBIOL, V64, P1033, DOI 10.1007/s13213-013-0740-8
   Molina F, 2015, BMC BIOTECHNOL, V15, DOI 10.1186/s12896-015-0168-2
   Nakipoglu M, 2017, B ENVIRON CONTAM TOX, V98, P712, DOI 10.1007/s00128-016-1955-8
   Nguyen TG, 2022, CIV ENG J-TEHRAN, V8, P2661, DOI 10.28991/CEJ-2022-08-11-020
   Noble RT, 2010, APPL ENVIRON MICROB, V76, P7437, DOI 10.1128/AEM.00651-10
   Offenbaume KL, 2020, WATER-SUI, V12, DOI 10.3390/w12092591
   Ozturk B., 2013, THESIS U GAZIANTEP G
   Panagopoulos A, 2022, SUSTAIN ENERGY TECHN, V53, DOI 10.1016/j.seta.2022.102477
   Panagopoulos A, 2022, CHEM ENG PROCESS, V178, DOI 10.1016/j.cep.2022.109029
   Panagopoulos A, 2022, CHEM ENG PROCESS, V176, DOI 10.1016/j.cep.2022.108944
   Prescott LM., 1996, MICROBIOLOGY LAB EXE
   Reitter C, 2021, SCI TOTAL ENVIRON, V787, DOI 10.1016/j.scitotenv.2021.147539
   Ricchi M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01174
   Rompré A, 2002, J MICROBIOL METH, V49, P31, DOI 10.1016/S0167-7012(01)00351-7
   Shrestha A, 2019, WATER RES, V156, P395, DOI 10.1016/j.watres.2019.03.034
   Silva DM, 2015, ECOTOX ENVIRON SAFE, V113, P400, DOI 10.1016/j.ecoenv.2014.12.015
   Sutton S., 2010, J VALIDATION TECHNOL, V16, P35, DOI DOI 10.1097/RLI.0B013E318234E7511C0MPARTMENTAL
   Takci Hatice Aysun Mercimek, 2021, Acta Aquatica Turcica, V17, P290, DOI 10.22392/actaquatr.801564
   Truchado P, 2016, FOOD MICROBIOL, V58, P29, DOI 10.1016/j.fm.2016.03.006
   Tsai AY, 2021, DIVERSITY-BASEL, V13, DOI 10.3390/d13090409
   Vadde KK, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00699
   van Frankenhuyzen JK, 2013, J IND MICROBIOL BIOT, V40, P1251, DOI 10.1007/s10295-013-1319-x
   WHO, 2004, Guidelines for drinking water quality: training pack
   Willis JR, 2022, WATER RES, V212, DOI 10.1016/j.watres.2022.118114
   Wolf-Baca M, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-0533-1
   Woolway RI, 2019, CLIMATIC CHANGE, V155, P81, DOI 10.1007/s10584-019-02465-y
   Wu ZY, 2020, ENVIRON INT, V136, DOI 10.1016/j.envint.2019.105452
NR 59
TC 3
Z9 3
U1 0
U2 5
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 JUN
PY 2023
VL 14
IS 6
BP 2042
EP 2053
DI 10.2166/wcc.2023.132
EA MAY 2023
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA K0GG5
UT WOS:001000238500001
OA gold
DA 2025-01-10
ER

PT J
AU Puyu, V
   Bakhmat, M
   Pantsyreva, H
   Khmelianchyshyn, Y
   Stepanchenko, V
   Bakhmat, O
AF Puyu, V.
   Bakhmat, M.
   Pantsyreva, H.
   Khmelianchyshyn, Y.
   Stepanchenko, V.
   Bakhmat, O.
TI Social-and-Ecological Aspects of Forage Production Reform in Ukraine in
   the Early 21st Century
SO EUROPEAN JOURNAL OF SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE pasture complex; block diagram; cycle wedge; satellite area; sheltered
   base
ID BANK FOREST-STEPPE; ECONOMIC-EFFICIENCY; MANAGEMENT; NITROGEN; GROWTH
AB On the basis of the "three sigma" rule, a statistical stratification of the Ukrainian effective community into economic welfare groups according to their social and economic status has been carried out, thus creating the basis for substantiating the expediency of reforming the forage production sector in order to further expand the production of organic livestock products through the up-to-date approaches to the formation and use of climate adaptive feed-related phytocenoses. In order to increase the productivity of grass fodder, an innovative model of the grass-grazing complex has been developed. Its structure includes a cyclic wedge of long-term cereal-bean pasture which involves perennial grasses of the botanical species adapted to the zonal ecological and technological conditions, a satellite wedge of traditional mixtures of annual crops and atypical pasture plants - burnet polygamous (Poterium poligamum Woldst. et Kit.), prairie dock (Silphium perfoliatum L.) and others, whose herbage is used during the off-season, when the main cyclic wedge is found to be low-yielding, as well as a sheltered base, equipped with outdoor hoppers and shelters designed to protect animals in bad weather. The introduction of meadows and pastures in the system of zonal fodder production will contribute to the improvement and stabilization of the production of cheap and adequately nutritious herbal feeds thus increasing the resource potential of the area.
C1 [Puyu, V.; Bakhmat, M.; Khmelianchyshyn, Y.; Stepanchenko, V.; Bakhmat, O.] State Agr & Engn Univ, 13 Shevchenko Str, UA-32300 Kamianets Podilskyi, Ukraine.
   [Pantsyreva, H.] Vinnytsia Natl Agr Univ, 3 Soniachna Str, UA-21008 Vinnytsia, Ukraine.
C3 Ministry of Education & Science of Ukraine; Podillia State University;
   Ministry of Education & Science of Ukraine; Vinnytsia National Agrarian
   University
RP Puyu, V (corresponding author), State Agr & Engn Univ, 13 Shevchenko Str, UA-32300 Kamianets Podilskyi, Ukraine.
RI Yurii, Khmelianchyshyn/ABF-7944-2021; Bakhmat, Oleh/AAZ-2358-2020;
   Stepanchenko, Vitalii/ISB-6309-2023; Bakhmat, Oleh/G-4754-2018;
   Pantsyreva, Hanna/L-5102-2018
OI Hmelancisin, Urii/0000-0003-2860-2065; Bakhmat,
   Oleh/0000-0002-8015-1567; Pantsyreva, Hanna/0000-0002-0539-5211
CR Bakhmat Rykhlivskyi P., 2019, WORLD SCI, V1, DOI [10.31435/rsglobal_ws/31072019/6587, DOI 10.31435/RSGLOBAL_WS/31072019/6587]
   Bandura V, 2019, INMATEH-AGRIC ENG, V57, P233
   Bransby D. I., COMPATIBILITY SWITCH
   Chudnovskyi A. F., 1980, AGROPHYSICAL AGROMET
   Esbroeck G. A., 1997, CROP SCI, P864
   Gudz V. P., 2010, ENV PROBLEMS AGR TUT
   Ishchenko V., 2009, STEPPE B, V6, P37
   Kaletnik GM, 2011, ACTUAL PROBL ECON, P3
   Kaletnik G, 2020, EUR J SUSTAIN DEV, V9, P89, DOI 10.14207/ejsd.2020.v9n2p89
   Khodanitska O.O., 2019, UKRAINIAN J ECOLOGY, V9, P9
   Kolesnik S., 2012, FEED FODDER, V73, P145
   Kuryata VG, 2019, UKR J ECOL, V9, P127
   Ma Z, 2001, BIOMASS BIOENERG, V20, P413, DOI 10.1016/S0961-9534(01)00008-3
   Mazur V, 2018, UKR J ECOL, V8, P26
   Mazur VA, 2020, UKR J ECOL, V10, P8, DOI 10.15421/2020_56
   Mazur V. A., 2020, Agronomy Research, V18, P177, DOI 10.15159/AR.20.016
   Mazur VA, 2019, UKR J ECOL, V9, P665, DOI 10.15421/2019_807
   Mazur V. A., 2019, Agronomy Research, V17, P206, DOI 10.15159/AR.19.024
   Mazur VA, 2018, UKR J ECOL, V8, P148
   Melnychuk T., 2011, P 3 ALL UKR C EC, V2, P423
   Muir JP, 2001, AGRON J, V93, P896, DOI 10.2134/agronj2001.934896x
   Mylenkaya G., 1981, COMMENTS ANIMAL HUSB, P143
   Ovcharuk V.I., 2019, B UMAN NATL U HORTIC, P70
   Palamarchuk V, 2018, UKR J ECOL, V8, P42
   Palamarchuk V, 2018, BULG J AGRIC SCI, V24, P785
   Pantsyreva H., 2018, UKRAINE SCI B UNFU, V28, P74, DOI [10.15421/40280815, DOI 10.15421/40280815]
   Pantsyreva HV, 2019, UKR J ECOL, V9, P74
   Prymak I. D., 2010, ENV ISSUES AGR
   Puyu V. L, 2014, SEM PROGR UM NUS VAR
   Puyu V. L., 2009, Cultural Pasture: Patent, Patent No. 40618
   Raichesberg Naum, 2000, ADOLPHE QUETELET HIS
   Shevchuk O.A., 2019, UKRAINIAN J ECOLOGY, V2019
   Shuvar I. A., 2007, ECOLOGICAL AGR TXB
   Sladden S. E., 1993, BIOMASS C AM, P229
   Vasilenko P., 2019, B KHNTUSG THEM, P276
   Vdovenko SA, 2018, UKR J ECOL, V8, P1
   Vdovenko S. A., 2018, UKRAINIAN J ECOL, V8, P270
   Yanovych V, 2018, INMATEH-AGRIC ENG, V54, P25
   Yanovych V., 2017, E EUROPEAN J ENTERPR, V6, P4, DOI DOI 10.15587/1729-4061.2017.117635
   Yermakov A.I., 1987, Agropromizdat, V430
NR 40
TC 9
Z9 10
U1 0
U2 6
PU EUROPEAN CENTER SUSTAINABLE DEVELOPMENT
PI ROME
PA VIA DEI FIORI 34, ROME, 00172, ITALY
SN 2239-5938
EI 2239-6101
J9 EUR J SUSTAIN DEV
JI Eur. J. Sustain. Dev.
PY 2021
VL 10
IS 1
BP 221
EP 228
DI 10.14207/ejsd.2021.v10n1p221
PG 8
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA QG0FZ
UT WOS:000617263600015
OA gold
DA 2025-01-10
ER

PT J
AU Greenwood, DR
   Conran, JG
AF Greenwood, David R.
   Conran, John G.
TI Fossil Coryphoid Palms from the Eocene of Vancouver, British Columbia
SO INTERNATIONAL JOURNAL OF PLANT SCIENCES
LA English
DT Article
DE Arecaceae; Coryphoideae; Eocene; fossil leaves; British Columbia; Canada
ID ALLENBY FORMATION; PRINCETON CHERT; PHYLOGENETIC ANALYSES; OKANAGAN
   HIGHLANDS; WASHINGTON-STATE; ARECACEAE; PALEOCENE; VEGETATION;
   DISPERSAL; DIVERSITY
AB Premise of research. Fossil fan palm fronds are well known from Eocene sites in the United States; however, although they are also known from the Paleogene Huntingdon Formation of British Columbia for over 100 years, these are poorly studied. There are early anecdotal reports of Eocene "Sabal" or Sabalites leaves from the Vancouver area, pollen from Vancouver and the interior of British Columbia, and a single megafossil palm described from the Princeton Chert, indicating past warm climates in the region. Leaves of coryphoid palms (Arecaceae) from British Columbia are described formally here for the first time. Methodology. We analyze morphologically the Eocene palm frond fossils from the Vancouver area (Huntingdon Formation) and the Ashcroft area in British Columbia. Pivotal results. The Sabalites fossil fronds from the Vancouver area represent fan palms (subfamily Coryphoideae, cf. tribe Sabaleae) and are assigned to the new taxon Sabalites dawsonii. These and other Eocene palm fossils from the Pacific Northwest demonstrate that-based on prior paleoclimate analyses-coryphoid palms were growing under paleotemperatures close to their modern cold limits. Palm fossils reported from near Ashcroft are not Arecaceae, as key diagnostic characters are absent. Conclusions. These and comparable palm fossil records, coupled with analyses of paleoclimate, corroborate an early Paleogene origin of temperate climate adaptation by Coryphoideae, likely as part of the initial Sabaleae and Trachycarpeae diversifications.
C1 [Greenwood, David R.] Brandon Univ, Deptartment Biol, 270-18th St, Brandon, MB R7A 6A9, Canada.
   [Conran, John G.] Univ Adelaide, Sch Biol Sci, Australian Ctr Evolutionary Biol & Biodivers, Adelaide, SA 5005, Australia.
   [Conran, John G.] Univ Adelaide, Sch Biol Sci, Sprigg Geobiol Ctr, Adelaide, SA 5005, Australia.
C3 Brandon University; University of Adelaide; University of Adelaide
RP Greenwood, DR (corresponding author), Brandon Univ, Deptartment Biol, 270-18th St, Brandon, MB R7A 6A9, Canada.
EM greenwoodd@brandonu.ca
RI Greenwood, David/C-2758-2008
OI Greenwood, David/0000-0002-8569-9695
FU Natural Sciences and Engineering Research Council (NSERC); Australian
   Research Council (ARC)
FX D. R. Greenwood thanks Bruce Archibald for support on field work and
   discussions about British Columbia Eocene palms and other assistance
   tracking down British Columbia palm fossils. GeorgeMustoe generously
   provided images and information about palm fossils from the Chuckanut
   Formation. D. R. Greenwood particularly thanks Michelle Coyne, Curator,
   Geological Survey of Canada, Central and Northern Canada Branch (GSC
   Ottawa) for making the British Columbia Eocene palm leaf specimens
   available and for finding location details in the GSC database. In
   addition, D. R. Greenwood thanks Marji Johns, formerly of the Royal
   British Columbia Museum, for assistance finding palm fossil specimens in
   the RBCM collections; Margaret Currie of the Canadian Museum of Nature
   for assistance with CMNPB specimen numbers; and C. L. Greenwood for
   proofreading the manuscript. Funding for this work was provided by a
   Discovery Grant from the Natural Sciences and Engineering Research
   Council (NSERC) to D. R. Greenwood. J. G. Conran's contribution was
   supported in part by the Australian Research Council (ARC). We also
   thank an anonymous reviewer and George Mustoe for their comments, which
   greatly improved the article.
CR Akhmetiev MA, 2010, B GEOSCI, V85, P77, DOI 10.3140/bull.geosci.1145
   Allen SE, 2015, INT J PLANT SCI, V176, P586, DOI 10.1086/681605
   [Anonymous], THESIS
   [Anonymous], 1962, US GEOLOGICAL SURVEY
   [Anonymous], F195354 GEOL SURV CA
   [Anonymous], GEOL SURV CAN MEM
   [Anonymous], ALABAMA PLANT ATLAS
   [Anonymous], 2000, FLORA N AM
   [Anonymous], GEOLOGICAL FIELDWORK
   [Anonymous], MEAS MAN ON SCREEN I
   [Anonymous], LAMBE 1906 TOGETHER
   [Anonymous], 1978, Palaeontographica Abteilung B, Palaophytologie
   [Anonymous], GEOL SURV CAN MEM
   [Anonymous], THESIS
   [Anonymous], GEOL SURV CAN B
   [Anonymous], 2019, PALMW PALMS WORLD ON
   [Anonymous], ANN LYCEUM NAT HIST
   [Anonymous], GEOL MAG
   [Anonymous], 1965, THESIS
   [Anonymous], AM J SCI 2
   Archibald SB, 2014, P NATL ACAD SCI USA, V111, P8095, DOI 10.1073/pnas.1323269111
   Armstrong J E., 1979, Surficial geology, Vancouver, British Columbia, DOI DOI 10.4095/108876
   Bacon CD, 2012, SYST BIOL, V61, P426, DOI 10.1093/sysbio/syr123
   Baker WJ, 2016, BOT J LINN SOC, V182, P207, DOI 10.1111/boj.12401
   Baker WJ, 2013, J BIOGEOGR, V40, P274, DOI 10.1111/j.1365-2699.2012.02795.x
   Baker WJ, 2009, SYST BIOL, V58, P240, DOI 10.1093/sysbio/syp021
   BASINGER JF, 1977, CAN J BOT, V55, P1984, DOI 10.1139/b77-223
   Berry E W., 1930, US Geol Surv Prof Pap, V165, P55
   Berry EW, 1926, GEOLOGICAL SURVEY CA, V42, P91, DOI DOI 10.4095/105011
   Bjorholm S, 2006, BOT J LINN SOC, V151, P113, DOI 10.1111/j.1095-8339.2006.00527.x
   Breedlovestrout RL, 2013, PALAEOGEOGR PALAEOCL, V392, P22, DOI 10.1016/j.palaeo.2013.08.013
   Cano A, 2018, J BIOGEOGR, V45, P1432, DOI 10.1111/jbi.13225
   Cássia-Silva C, 2019, GLOBAL ECOL BIOGEOGR, V28, P814, DOI 10.1111/geb.12895
   CEVALLOSFERRIZ SRS, 1991, REV PALAEOBOT PALYNO, V70, P173, DOI 10.1016/0034-6667(91)90085-H
   Couvreur TLP, 2011, BMC BIOL, V9, DOI 10.1186/1741-7007-9-44
   Dawson W., 1895, T ROYAL SOC CANADA, V1895, P137
   DeVore ML, 2010, B GEOSCI, V85, P111, DOI 10.3140/bull.geosci.1135
   Dillhoff RM, 2013, BOTANY, V91, P514, DOI 10.1139/cjb-2012-0313
   DRANSFIELD J, 1990, ANN MO BOT GARD, V77, P802, DOI 10.2307/2399672
   Dransfield J, 2008, Genera Palmarum-the evolution and classification of palms
   Erwin Diane M., 1994, Palaeontographica Abteilung B Palaeophytologie, V234, P19
   ERWIN DM, 1991, REV PALAEOBOT PALYNO, V70, P147, DOI 10.1016/0034-6667(91)90083-F
   Greenwood DR, 2017, REV PALAEOBOT PALYNO, V239, P55, DOI 10.1016/j.revpalbo.2016.12.002
   Greenwood DR, 2016, CAN J EARTH SCI, V53, P548, DOI 10.1139/cjes-2015-0177
   Greenwood DR, 2005, CAN J EARTH SCI, V42, P167, DOI 10.1139/E04-100
   GREENWOOD DR, 1995, GEOLOGY, V23, P1044, DOI 10.1130/0091-7613(1995)023<1044:ECCALT>2.3.CO;2
   Greenwood DR., 2000, Monocots: systematics and evolution, P52
   Gushulak CAC, 2016, CAN J EARTH SCI, V53, P591, DOI 10.1139/cjes-2015-0160
   Harley MM, 2006, BOT J LINN SOC, V151, P39, DOI 10.1111/j.1095-8339.2006.00522.x
   Harley MM, 2001, GRANA, V40, P45, DOI 10.1080/00173130152591877
   Hartwich SJ, 2010, AUST SYST BOT, V23, P131, DOI 10.1071/SB09027
   Hollick A., 1936, U.S. Geological Survey Professional Paper, V182, P1
   HOPKINS WS, 1969, CAN J BOTANY, V47, P1101, DOI 10.1139/b69-156
   Iles WJD, 2015, BOT J LINN SOC, V178, P346, DOI 10.1111/boj.12233
   Johnson Clarence Dan, 1995, Principes, V39, P25
   Kissling WD, 2012, P NATL ACAD SCI USA, V109, P7379, DOI 10.1073/pnas.1120467109
   Knowlton F H., 1919, U. S. Geol. Surv. Bull., V696, P1
   Lesquereux L., 1883, Report of the United States Geological Survey of the Territories, V8, P1
   Lesquereux L, 1878, REPORT US GEOLOGICAL, V7, P1
   Manchester SR, 2010, INT J PLANT SCI, V171, P679, DOI 10.1086/653688
   Mathewes RW, 2020, CAN J EARTH SCI, V57, P348, DOI 10.1139/cjes-2018-0325
   Mathewes RW, 2016, CAN J EARTH SCI, V53, P574, DOI 10.1139/cjes-2015-0163
   McNeill J, 2012, REGNUM VEG, V154, P1
   Miller LA, 2012, GEOL SOC AM BULL, V124, P1577, DOI 10.1130/B30548.1
   Moss PT, 2005, CAN J EARTH SCI, V42, P187, DOI 10.1139/E04-095
   Mustard P.S., 1994, GEOLOGY GEOLOGICAL H, V481, P97
   Mustoe G.E., 2007, FLOODS FAULTS FIRE G, V9, P121, DOI DOI 10.1130/2007.FLD009(06)
   Mustoe G.E., 1995, Washington Geology, V23, P21
   MUSTOE GE, 1993, CAN J EARTH SCI, V30, P1205, DOI 10.1139/e93-102
   Newberry J.S., 1863, Boston Journal of Natural History, V7, P506
   Newberry J S., 1898, US Geol Surv Monograph, V35, P1
   Pigg KB, 2016, BOTANY, V94, P661, DOI 10.1139/cjb-2016-0079
   Pole MS, 1996, REV PALAEOBOT PALYNO, V92, P55, DOI 10.1016/0034-6667(95)00099-2
   READ R W, 1972, Taxon, V21, P129, DOI 10.2307/1219237
   Reichgelt T, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23147-2
   Rouse G.E., 1962, Micropaleontology, V8, P187, DOI DOI 10.2307/1484744
   Smith SY, 2018, AM J BOT, V105, P1389, DOI 10.1002/ajb2.1123
   Srivastava R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111738
   Strömberg CAE, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2508
   Su T, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aav2189
   Sunderlin D, 2014, PALAEOGEOGR PALAEOCL, V401, P57, DOI 10.1016/j.palaeo.2014.02.012
   Sunderlin D, 2011, PALAIOS, V26, P335, DOI 10.2110/palo.2010.p10-077r
   WING SL, 1993, PHILOS T ROY SOC B, V341, P243, DOI 10.1098/rstb.1993.0109
   Wolfe J.A., 1977, US GEOLOGICAL SURVEY, V997, P1
   Wunderlin R.P., 2016, Atlas of Florida plants
   Zhou WJ, 2013, SCI CHINA EARTH SCI, V56, P1493, DOI 10.1007/s11430-013-4681-7
   ZONA S, 1990, Aliso, V12, P583
NR 87
TC 8
Z9 9
U1 0
U2 10
PU UNIV CHICAGO PRESS
PI CHICAGO
PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA
SN 1058-5893
EI 1537-5315
J9 INT J PLANT SCI
JI Int. J. Plant Sci.
PD FEB 1
PY 2020
VL 181
IS 2
SI SI
BP 224
EP 240
DI 10.1086/706450
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA KG8MU
UT WOS:000510205300006
DA 2025-01-10
ER

PT J
AU Ferraz, RA
   Leonel, S
   Segantini, DM
   Tecchio, MA
   Antunes, LEC
AF Ferraz, Rafael Augusto
   Leonel, Sarita
   Segantini, Daniela Mota
   Tecchio, Marco Antonio
   Correa Antunes, Luis Eduardo
TI Yield and crop cycle time of peaches cultivated in subtropical climates
   and subjected to different pruning times
SO SEMINA-CIENCIAS AGRARIAS
LA English
DT Article
DE Agronomic performance; peach; production pruning; Prunus persica;
   regional behavior
ID BRAZIL
AB The cultivation of peaches in regions of subtropical and tropical climate is currently achieved through a set of practices such as using less demanding cultivars in cold conditions, applying plant growth regulators to break dormancy, and performing specific pruning, like production and renewal pruning. Research on the climate adaptation of cultivars is of great importance in establishing a crop in a given region. Therefore, the objective of this study was to evaluate the agronomic performance of three cultivars subjected to different production pruning times in Botucatu/SP, where 2-year old peach trees were evaluated, grown at a spacing of 6.0 x 4.0 meters. The experimental design was a split plot design with four blocks, using the cultivars Douradao, BRS Kampai and BRS Rubimel, and the subplots corresponded to pruning times in May, June, July and August. Ten plants were used per plot, with the four central plants considered useful and the remaining considered as margins. Pruning in June and July showed the best results in terms of percentage of fruit set and production. The cultivar BRS Rubimel showed the best percentage of fruit set when pruned in June (44.96%), and best fruit production when pruned in July (18.7 kg plant(-1)). Pruning in May anticipated the harvest of cultivar BRS Rubimel by 13 days whereas pruning carried out in July and August provided late harvests for cultivars Douradao and BRS Kampai.
C1 [Ferraz, Rafael Augusto] Univ Estadual Paulista, UNESP, Fac Ciencias Agron, Curso Doutorado Hort, Botucatu, SP, Brazil.
   [Leonel, Sarita; Segantini, Daniela Mota; Tecchio, Marco Antonio] UNESP, Fac Ciencias Agron, Botucatu, SP, Brazil.
   [Correa Antunes, Luis Eduardo] EMBRAPA Clima Temp, Pelotas, RS, Brazil.
C3 Universidade Estadual Paulista; Universidade Estadual Paulista; Empresa
   Brasileira de Pesquisa Agropecuaria (EMBRAPA)
RP Ferraz, RA (corresponding author), Univ Estadual Paulista, UNESP, Fac Ciencias Agron, Curso Doutorado Hort, Botucatu, SP, Brazil.
EM rafaelferraz86@hotmail.com; sarinel@fca.unesp.br;
   dani_segantini@hotmail.com; tecchio@fca.unesp.br;
   luis.antunes@embrapa.br
RI Antunes, Luis Eduardo/C-5426-2013
OI Tecchio, Marco Antonio/0000-0001-7868-2265
CR Antunes Luís Eduardo Corrêa, 2002, Cienc. Rural, V32, P151, DOI 10.1590/S0103-84782002000100026
   Barbosa W., 1999, Scientia Agricola, V56, P1261, DOI 10.1590/S0103-90161999000500030
   Barbosa W., 1997, Scientia Agricola, V54, P152, DOI 10.1590/S0103-90161997000200007
   BARBOSA W, 2000, NOVAS VARIEDDES BRAS, P176
   Raseira MDB, 2010, REV BRAS FRUTIC, V32, P1275, DOI 10.1590/S0100-29452011005000009
   Chalfun N. N. J., 2002, Ciencia e Agrotecnologia, V26, P204
   Citadin Idemir, 2006, Rev. Bras. Frutic., V28, P32, DOI 10.1590/S0100-29452006000100012
   Fachinello JC, 2011, REV BRAS FRUTIC, V33, P109, DOI 10.1590/S0100-29452011000500014
   INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA - IBGE, 2012, PROD AGR MUNICIPAL, V39, P1
   LEONEL S., 2011, REV BRAS FRUTIC, P227
   Pedro MJ, 2007, REV BRAS FRUTIC, V29, P425, DOI 10.1590/S0100-29452007000300005
   Pereira FM, 2008, REV BRAS FRUTIC, V30, P43, DOI 10.1590/S0100-29452008000100010
   Petri J.L. e., 2004, Fruteiras de caroco: uma visao ecologica, P119
   RASEIRA A., 2003, PESSEGO PRODUCAO
   Raseira M.C.B., 1998, CULTURA PESSEGUEIRO, P29
   SCARANARI C., 2009, CATALOGO CULTIVARES
   SEGANTINI D. M., 2010, THESIS
NR 17
TC 2
Z9 2
U1 0
U2 8
PU UNIV ESTADUAL LONDRINA
PI LONDRINA
PA CAXIA POSTAL 6001, LONDRINA, PARANA 86501-990, BRAZIL
SN 1676-546X
EI 1679-0359
J9 SEMIN-CIENC AGRAR
JI Semin.-Cienc. Agrar.
PY 2015
VL 36
IS 6
SU 2
BP 4099
EP 4106
DI 10.5433/1679-0359.2015v36n6Supl2p4099
PG 8
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DQ0OA
UT WOS:000378897800005
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Marshall, NA
AF Marshall, Nadine A.
TI Adaptive capacity on the northern Australian rangelands
SO RANGELAND JOURNAL
LA English
DT Article; Proceedings Paper
CT 18th Biennial Conference of the Australian-Rangeland-Society
CY APR, 2015
CL Alice Springs, AUSTRALIA
DE adoption of new practices; climate adaptation; resilience; resource
   dependency; social science; vulnerability to change
ID CLIMATE-CHANGE; SOCIAL RESILIENCE; ADAPTATION; AGRICULTURE; MANAGEMENT;
   VULNERABILITY; VARIABILITY; IMPACT; STATE
AB This paper presents an overview of research that has recently been conducted on the northern Australian rangelands. The research has focussed on conceptualising and measuring the current capacity of cattle producers to adopt new strategies so as to better adapt to the impacts of climate change. The capacity to adapt is defined as comprising four essential elements: (i) managing risk and uncertainty, (ii) possessing strategic skill sets such as planning, experimenting, refining and learning, (iii) psychological and financial buffers, and (iv) an interest in change. However, there appears to be a lack of sufficient capacity currently existing within the industry to meet the challenges of the future: only 16% of producers are regarded to be sufficiently adaptive. Research also highlights that adaptive capacity can be enhanced, and here we highlight those factors that are known to influence adaptive capacity either positively or negatively. Producers with strong networks and trust in informal and formal connections, a strong locus of control, larger properties, a focus on profitability, and use technology, are more likely to persist within the industry through time. We propose that investing in the capacity of producers to better cope and adapt to change is a most logical approach to ensuring both the sustainability of the industry and of the rangelands. A range of strategies are proposed that may enhance adaptive capacity.
C1 [Marshall, Nadine A.] James Cook Univ, CSIRO, Land & Water, Townsville, Qld 4811, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   James Cook University
RP Marshall, NA (corresponding author), James Cook Univ, CSIRO, Land & Water, ATSIP Bldg, Townsville, Qld 4811, Australia.
EM nadine.marshall@csiro.au
RI Marshall, Nadine/D-9339-2011
OI marshall, nadine/0000-0003-4463-3558
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], NAVIGATING SOCIAL EC
   [Anonymous], PROJECTIONS AUSTR NA
   Ash A, 2007, AUST J AGR RES, V58, P952, DOI 10.1071/AR06188
   Baker J. T., 2004, AGR SYST, V82, P94, DOI [10.1016/j.agsy.2004.02.005, DOI 10.1016/J.AGSY.2004.02.005]
   Bennett NJ, 2014, ECOL SOC, V19, DOI 10.5751/ES-06315-190205
   Berry A, 2013, J COASTAL RES, V29, P899, DOI 10.2112/JCOASTRES-D-12-00150.1
   Berry HL, 2011, ASIA-PAC J PUBLIC HE, V23, p119S, DOI 10.1177/1010539510392556
   Bestelmeyer BT, 2012, RANGELAND ECOL MANAG, V65, P654, DOI 10.2111/REM-D-12-00072.1
   Bohensky E, 2010, SPRINGER SER ENV MAN, P23, DOI 10.1007/978-3-642-12194-4_2
   Briske DD, 2008, RANGELAND ECOL MANAG, V61, P359, DOI 10.2111/07-051.1
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Christmann S, 2015, SOC NATUR RESOUR, V28, P280, DOI 10.1080/08941920.2014.933927
   Cinner J. M., 2009, ADAPTING CHANGING EN
   Cinner JE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074321
   Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053
   Fernández-Giménez ME, 2012, HUM ECOL, V40, P287, DOI 10.1007/s10745-012-9463-x
   Fleming Aysha, 2015, Journal of Wine Research, V26, P99, DOI 10.1080/09571264.2015.1031883
   Ghorbani M, 2015, RANGELAND J, V37, P169, DOI 10.1071/RJ14073
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Halseth G, 1999, CAN GEOGR-GEOGR CAN, V43, P363, DOI 10.1111/j.1541-0064.1999.tb01395.x
   Harle KJ, 2007, AGR SYST, V93, P61, DOI 10.1016/j.agsy.2006.04.003
   Harris CC, 1998, J FOREST, V96, P11
   Harris D, 2014, AGR SYST, V123, P84, DOI 10.1016/j.agsy.2013.09.005
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Joyce LA, 2013, RANGELAND ECOL MANAG, V66, P512, DOI 10.2111/REM-D-12-00142.1
   Kelkar U, 2008, GLOBAL ENVIRON CHANG, V18, P564, DOI 10.1016/j.gloenvcha.2008.09.003
   Li H, 2010, PROCEEDINGS OF THE 4TH INTERNATIONAL YELLOW RIVER FORUM ON ECOLOGICAL CIVILIZATION AND RIVER ETHICS, VOL I, P190
   Marshall NA, 2007, RURAL SOCIOL, V72, P359, DOI 10.1526/003601107781799254
   Marshall NA, 2014, AGR ECOSYST ENVIRON, V186, P86, DOI 10.1016/j.agee.2014.01.004
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Marshall NA, 2011, CLIMATIC CHANGE, V107, P511, DOI 10.1007/s10584-010-9962-y
   Marshall NA, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P245
   Marshall N. A., 2010, IUCN INT UNION CONSE
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   Marshall N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   Marshall NA, 2013, RANGELAND ECOL MANAG, V66, P88, DOI 10.2111/REM-D-11-00176.1
   Marshall P. A., 2007, CLIMATE CHANGE
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Olsson P, 2004, ECOL SOC, V9
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Ritchie JW, 2004, AGR ECOSYST ENVIRON, V104, P553, DOI 10.1016/j.agee.2004.01.029
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Walker B, 2004, ECOL SOC, V9
   Wang P, 2015, RANGELAND J, V37, P1, DOI 10.1071/RJ14094
   Wreford A, 2010, INT J AGR SUSTAIN, V8, P278, DOI 10.3763/ijas.2010.0482
   Wu XY, 2015, RANGELAND J, V37, P11, DOI 10.1071/RJ14082
NR 48
TC 16
Z9 17
U1 0
U2 13
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 2015
VL 37
IS 6
SI SI
BP 617
EP 622
DI 10.1071/RJ15054
PG 6
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA CZ4UZ
UT WOS:000367099600009
DA 2025-01-10
ER

PT C
AU Taylor, M
   Jaenicke, H
   Hunter, D
   McGregor, A
   Lyons, G
AF Taylor, M.
   Jaenicke, H.
   Hunter, D.
   McGregor, A.
   Lyons, G.
BE Jaenicke, H
   Ashmore, SE
   Dulloo, ME
   Guarino, L
   Taylor, M
TI Diversity for sustaining livelihoods: examples, constraints and lessons
   learnt
SO XXIX INTERNATIONAL HORTICULTURAL CONGRESS ON HORTICULTURE: SUSTAINING
   LIVES, LIVELIHOODS AND LANDSCAPES (IHC2014): IV INTERNATIONAL SYMPOSIUM
   ON PLANT GENETIC RESOURCES
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 29th International Horticultural Congress on Horticulture - Sustaining
   Lives, Livelihoods and Landscapes (IHC) / 4th International Symposium on
   Plant Genetic Resources
CY AUG 17-22, 2014
CL Brisbane, AUSTRALIA
SP Int Soc Hort Sci
DE resilience; climate change; agro-biodiversity; income generation;
   improved nutrition; access to germplasm; community-based approaches
AB Strengthening and expanding options people have to sustain livelihoods under a changing climate is a key element in enhancing adaptive capacity and resilience. Many traditional food crops and farming systems have demonstrated their relative resilience to extreme climate events such as cyclones, flooding and saltwater inundation; promoting these crops, and ensuring diverse farming systems, is essential to strengthening livelihoods, food and nutritional security, and agroecosystem resilience in an uncertain future. Diversification opens up opportunities for innovation in production methods that build on or modify traditional cropping systems. It also contributes to diversifying diets and improving nutrition outcomes. Diversification supports processing and value adding, strengthening the food security function of the crop but also providing income generating opportunities. Increasing efforts to support commercialization of indigenous species, often with an inherent resilience to climate variability can be a viable option for economic diversification. In a rapidly changing future, access to novel germplasm through planting material networks, information, and technical support will be essential. Further, empowering communities to use these services to adopt and adapt climate-resilient strategies through participatory and community-based approaches will be critical, as will relevant supportive policies and institutions. Enhancing human and social capital and diversifying livelihood options are vital components of any strategy which aims to assist communities to manage the impact of climate change. This paper discusses how this approach is being implemented in several countries, the constraints faced and the lessons learnt.
C1 [Taylor, M.] Univ Sunshine Coast, Maroochydore, Australia.
   [Jaenicke, H.] Hort Competence Ctr, D-53359 Rheinbach, Germany.
   [Hunter, D.] Biovers Int, Rome, Italy.
   [McGregor, A.] Koko Siga, Suva, Fiji.
   [Lyons, G.] Univ Adelaide, Glen Osmond, SA 5064, Australia.
C3 University of the Sunshine Coast; Alliance; Bioversity International;
   University of Adelaide
RP Taylor, M (corresponding author), Univ Sunshine Coast, Maroochydore, Australia.
CR Bergamini N, 2013, ISS AGRIC DIVERS, P313
   Hodgkin T, 2012, J CROP IMPROV, V26, P329, DOI 10.1080/15427528.2011.609928
   Hunter D, 2013, ISS AGRIC DIVERS, P1
   International Atomic Energy Agency, 2003, RES COORD M PRET S A
   Iosefa T., 2012, COMMUNITY BIODIVERSI, P285
   Jaenicke H, 2013, ACTA HORTIC, V979, P33
   Jarvis DI, 2011, CRIT REV PLANT SCI, V30, P125, DOI 10.1080/07352689.2011.554358
   Kehlenbeck K, 2013, ISS AGRIC DIVERS, P257
   Leakey R, 2005, AGROFOREST SYST, V64, P25, DOI 10.1007/s10457-005-2419-z
   Leakey R. R. B., 2005, International Journal of Agricultural Sustainability, V3, P1, DOI 10.1080/14735903.2005.9684741
   Leakey R. R. B., 2008, P28, DOI 10.1079/9781845931100.0028
   McGregor A., 2015, VULNERABILI IN PRESS
   McGregor A., 2011, CLIMATE CHANGE ADAPT, P72
   McGregor A., 2015, VULNERABILITY PACIFI
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   Padulosi S., 2009, Indian J. Plant Genet. Resour, V22, P116
   Smith IF, 2013, ISS AGRIC DIVERS, P122
   Taylor M., 2015, VULNERABILITY PACIFI
NR 18
TC 2
Z9 2
U1 0
U2 10
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-94-62610-87-3
J9 ACTA HORTIC
PY 2015
VL 1101
BP 105
EP 111
DI 10.17660/ActaHortic.2015.1101.16
PG 7
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BF0FH
UT WOS:000378649000016
DA 2025-01-10
ER

PT J
AU Savolainen, O
   Pyhäjärvi, T
   Knürr, T
AF Savolainen, Outi
   Pyhajarvi, Tanja
   Knurr, Timo
TI Gene flow and local adaptation in trees
SO ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS
SE Annual Review of Ecology Evolution and Systematics
LA English
DT Review; Book Chapter
DE cline; natural selection; provenance trial; polygenic variation;
   migration
ID QUANTITATIVE TRAIT LOCI; PINUS-SYLVESTRIS L.; CONTROLLING ADAPTIVE
   TRAITS; COASTAL DOUGLAS-FIR; SPRUCE PICEA-ABIES; SCOTS PINE; POLLEN
   DISPERSAL; SEED DISPERSAL; CLIMATIC ADAPTATION; LATITUDINAL CLINE
AB Populations are locally adapted when populations have the highest relative fitness at their home sites, and lower fitness in other parts of the range. Results from the extensive experimental plantations of populations of forest trees from different parts of the range show that populations can survive and grow in broad areas outside the home site. However, intra- and interspecific competition limit the distribution of genotypes. For populations from large parts of the range, relative fitness, compared with the local population, is often highest at the home site. At the edges of the range, this local adaptation may break down. The extent of local adaptation is determined by the balance between gene flow and selection. Genetic differentiation and strong natural selection occur over a range of tens or hundreds of kilometers, but reliable measurements of gene flow are available only for much shorter distances. Current models of spatially varying selection could be made more realistic by the incorporation of strong selection and isolation-by-distance characteristic of tree populations. Many studies suggest that most variation in adaptive traits is based on loci with small effects. Association genetics methods and improved genomic resources are useful for the identification of the loci responsible for this variation. The potential for adaptation to current climate change depends on genetic variation and dispersal and establishment rates.
C1 [Savolainen, Outi; Pyhajarvi, Tanja; Knurr, Timo] Univ Oulu, Dept Biol, FIN-90014 Oulu, Finland.
C3 University of Oulu
RP Savolainen, O (corresponding author), Univ Oulu, Dept Biol, FIN-90014 Oulu, Finland.
EM Outi.Savolainen@oulu.fi; Tanja.Pyhajarvi@oulu.fi; Timo.Knurr@oulu.fi
RI Pyhäjärvi, Tanja/ABD-4161-2021; Knurr, Timo/K-4241-2013
OI Knurr, Timo/0000-0001-6532-918X
CR AHO ML, 1994, SCAND J FOREST RES, V9, P17, DOI 10.1080/02827589409382808
   Andersson B, 2004, SILVAE GENET, V53, P76, DOI 10.1515/sg-2004-0014
   Angert AL, 2005, EVOLUTION, V59, P1671, DOI 10.1111/j.0014-3820.2005.tb01817.x
   Austerlitz F, 2004, MOL ECOL, V13, P937, DOI 10.1111/j.1365-294X.2004.02100.x
   Austerlitz F, 2000, GENETICS, V154, P1309
   Bacles CFE, 2006, SCIENCE, V311, P628, DOI 10.1126/science.1121543
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   BARTON NH, 1989, ANNU REV GENET, V23, P337, DOI 10.1146/annurev.ge.23.120189.002005
   Birks H.J.B, 1983, ATLAS PRESENT POLLEN
   BRADSHAW AD, 1991, ANN BOT-LONDON, V67, P5, DOI 10.1093/oxfordjournals.aob.a088209
   Byrne M, 1997, THEOR APPL GENET, V95, P975, DOI 10.1007/s001220050650
   Carter KK, 1996, CAN J FOREST RES, V26, P1089, DOI 10.1139/x26-120
   Casasoli M, 2006, GENETICS, V172, P533, DOI 10.1534/genetics.105.048439
   Clark JS, 1999, ECOLOGY, V80, P1475, DOI 10.2307/176541
   Clark JS, 1998, AM NAT, V152, P204, DOI 10.1086/286162
   Clausen J., 1948, Carnegie Institution of Washington Publication, V581, P1
   Collignon AM, 2002, CAN J FOREST RES, V32, P266, DOI [10.1139/x01-198, 10.1139/X01-198]
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   DEVILMORIN PPA, MEMOIRES SOC IMP CEN, P297
   DORNLING I, 1979, P IUFRO JT M WORK PA, P398
   Ducousso A, 1996, ANN SCI FOREST, V53, P775, DOI 10.1051/forest:19960253
   Eiche V., 1966, Stud. For. Suec, V36, P1
   Endler J.A., 1977, Monographs in Population Biology, pi
   ENNOS RA, 1994, HEREDITY, V72, P250, DOI 10.1038/hdy.1994.35
   Eriksson G., 1980, Studia Forestalia Suecica, V156, P1
   Felsenstein J., 1977, Proceedings of the International Conference on Quantitative Genetics, August 16-21, 1976., P227
   Frewen BE, 2000, GENETICS, V154, P837
   García-Gil MR, 2003, MOL ECOL, V12, P1195, DOI 10.1046/j.1365-294X.2003.01826.x
   GarciaRamos G, 1997, EVOLUTION, V51, P21, DOI [10.2307/2410956, 10.1111/j.1558-5646.1997.tb02384.x]
   González-Martínez SC, 2007, GENETICS, V175, P399, DOI 10.1534/genetics.106.061127
   González-Martínez SC, 2006, MOL ECOL, V15, P4577, DOI 10.1111/j.1365-294X.2006.03118.x
   Goto S, 2006, MOL ECOL, V15, P2985, DOI 10.1111/j.1365-294X.2006.02976.x
   Green DS, 2005, CAN J FOREST RES, V35, P910, DOI [10.1139/x05-015, 10.1139/X05-015]
   Hamrick J. L., 1992, New Forests, V6, P95, DOI 10.1007/BF00120641
   Hänninen H, 2006, TREE PHYSIOL, V26, P889, DOI 10.1093/treephys/26.7.889
   Hardy OJ, 2006, MOL ECOL, V15, P559, DOI 10.1111/j.1365-294X.2005.02785.x
   Harju AM, 1996, SILVAE GENET, V45, P205
   Hedrick PW, 2006, ANNU REV ECOL EVOL S, V37, P67, DOI 10.1146/annurev.ecolsys.37.091305.110132
   HEIKINHEIMO O., 1949, COMMUN INST FOREST FENNIAL, V37, P1
   Heuertz M, 2006, GENETICS, V174, P2095, DOI 10.1534/genetics.106.065102
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   HOUGHTON JT, 2001, IPCC CLIM CHANG 2001
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Hurme P, 2000, GENETICS, V156, P1309
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   Hyvarinen H., 1975, FENNIA, V142, P1
   Ingvarsson PK, 2006, GENETICS, V172, P1845, DOI 10.1534/genetics.105.047522
   Jermstad KD, 2001, THEOR APPL GENET, V102, P1142, DOI 10.1007/s001220000505
   Jermstad KD, 2001, THEOR APPL GENET, V102, P1152, DOI 10.1007/s001220000506
   Jones FA, 2005, AM NAT, V166, P543, DOI 10.1086/491661
   Karhu A, 1996, THEOR APPL GENET, V93, P215, DOI 10.1007/BF00225748
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kellomäki S, 2001, GLOBAL CHANGE BIOL, V7, P531, DOI 10.1046/j.1365-2486.2001.00414.x
   Koski V., 1978, FOLIA FOR, V364, P1
   KOSKI V, 1970, COMMUN I FOREST FENN, V70, P1
   Kremer A, 2002, FOREST ECOL MANAG, V156, P75, DOI 10.1016/S0378-1127(01)00635-1
   KREMER A, 1997, P DIV AD OAK SPEC U, P81
   LAGERCRANTZ U, 1990, EVOLUTION, V44, P38, DOI [10.2307/2409523, 10.1111/j.1558-5646.1990.tb04278.x]
   LANGLET O, 1971, Taxon, V20, P653, DOI 10.2307/1218596
   LANKINEN P, 1986, J COMP PHYSIOL A, V159, P123, DOI 10.1007/BF00612503
   Latta RG, 1998, AM NAT, V151, P283, DOI 10.1086/286119
   Le Corre V, 2003, GENETICS, V164, P1205
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Linhart YB, 1996, ANNU REV ECOL SYST, V27, P237, DOI 10.1146/annurev.ecolsys.27.1.237
   Lynch Michael, 1996, P471
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   Mauricio R, 2001, NAT REV GENET, V2, P370, DOI 10.1038/35072085
   McKay JK, 2002, TRENDS ECOL EVOL, V17, P285, DOI 10.1016/S0169-5347(02)02478-3
   Mikola J., 1982, Silvae Fenn, V16, P178, DOI DOI 10.14214/SF.A15075
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   Nathan R, 2004, J ECOL, V92, P733, DOI 10.1111/j.0022-0477.2004.00914.x
   Nathan R, 2006, SCIENCE, V313, P786, DOI [10.1126/science.1124975, 10.1016/j.tree.2008.08.003]
   Neale DB, 2004, TRENDS PLANT SCI, V9, P325, DOI 10.1016/j.tplants.2004.05.006
   Notivol E, 2007, CAN J FOREST RES, V37, P540, DOI 10.1139/X06-243
   Oddou-Muratorio S, 2005, MOL ECOL, V14, P4441, DOI 10.1111/j.1365-294X.2005.02720.x
   Orr HA, 1998, EVOLUTION, V52, P935, DOI 10.1111/j.1558-5646.1998.tb01823.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PERSSON B, 1994, SCAND J FOREST RES, V9, P275, DOI 10.1080/02827589409382841
   Petit RJ, 2006, ANNU REV ECOL EVOL S, V37, P187, DOI 10.1146/annurev.ecolsys.37.091305.110215
   Petit RJ, 2003, SCIENCE, V300, P1563, DOI 10.1126/science.1083264
   Prescher F, 1986, SCAND J FOREST RES, V1, P285, DOI 10.1080/02827588609382419
   PROUT T, 1993, GENETICS, V134, P369
   Rehfeldt G. E., 2003, Eurasian Journal of Forest Research, V6-2, P83
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   REHFELDT GE, 1995, FOREST ECOL MANAG, V78, P21, DOI 10.1016/0378-1127(95)03602-4
   REHFELDT GE, 1989, FOREST ECOL MANAG, V28, P203, DOI 10.1016/0378-1127(89)90004-2
   ROBERDS JH, 1990, SILVAE GENET, V39, P121
   Robledo-Arnuncio JJ, 2005, HEREDITY, V94, P13, DOI 10.1038/sj.hdy.6800542
   Robledo-Arnuncio JJ, 2004, FOREST ECOL MANAG, V197, P245, DOI 10.1016/j.foreco.2004.05.016
   Rousset F, 1997, GENETICS, V145, P1219
   SARVAS R., 1962, COMMUN INST FOREST FENN, V53, P1
   Savolainen O, 2004, FOREST ECOL MANAG, V197, P79, DOI 10.1016/j.foreco.2004.05.006
   Scotti-Saintagne C, 2004, THEOR APPL GENET, V109, P1648, DOI 10.1007/s00122-004-1789-3
   Shutyaev AM, 1997, SILVAE GENET, V46, P332
   Shutyaev AM, 2000, SILVAE GENET, V49, P137
   SKROPPA T, 1993, SILVAE GENET, V42, P111
   SLATKIN M, 1978, J THEOR BIOL, V70, P213, DOI 10.1016/0022-5193(78)90348-X
   Slavov G. T., 2004, Introgression from genetically modified plants into wild relatives, P89, DOI 10.1079/9780851998169.0089
   Smouse PE, 2001, EVOLUTION, V55, P260
   Sork VL, 2002, MOL ECOL, V11, P1657, DOI 10.1046/j.1365-294X.2002.01574.x
   Stenoien HK, 2002, AM J BOT, V89, P1604, DOI 10.3732/ajb.89.10.1604
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Streiff R, 1999, MOL ECOL, V8, P831, DOI 10.1046/j.1365-294X.1999.00637.x
   SUNDBLAD LG, 1995, SCAND J FOREST RES, V10, P22, DOI 10.1080/02827589509382862
   TANKSLEY SD, 1993, ANNU REV GENET, V27, P205, DOI 10.1146/annurev.ge.27.120193.001225
   Tsarouhas V, 2004, THEOR APPL GENET, V108, P1335, DOI 10.1007/s00122-003-1544-1
   Tuskan GA, 2006, SCIENCE, V313, P1596, DOI 10.1126/science.1128691
   Valbuena-Carabaña M, 2005, HEREDITY, V95, P457, DOI 10.1038/sj.hdy.6800752
   Verzino G, 2003, FOREST ECOL MANAG, V175, P119, DOI 10.1016/S0378-1127(02)00124-X
   Viherä-Aarnio A, 2005, TREE PHYSIOL, V25, P101, DOI 10.1093/treephys/25.1.101
   Whitlock MC, 1999, HEREDITY, V82, P117, DOI 10.1038/sj.hdy.6884960
   Willis KJ, 2004, QUATERNARY SCI REV, V23, P2369, DOI 10.1016/j.quascirev.2004.06.002
   Wright S, 1943, GENETICS, V28, P114
   Wright SI, 2005, MOL BIOL EVOL, V22, P506, DOI 10.1093/molbev/msi035
   Wu HX, 2004, FOREST ECOL MANAG, V194, P177, DOI 10.1016/j.foreco.2004.02.017
   Yang RC, 1996, GENETICS, V142, P1045
   Yazdani R, 2003, SCAND J FOREST RES, V18, P29, DOI 10.1080/0891060310002318
NR 119
TC 875
Z9 989
U1 9
U2 437
PU ANNUAL REVIEWS
PI PALO ALTO
PA 4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0139 USA
SN 1543-592X
EI 1545-2069
J9 ANNU REV ECOL EVOL S
JI Annu. Rev. Ecol. Evol. Syst.
PY 2007
VL 38
BP 595
EP 619
DI 10.1146/annurev.ecolsys.38.091206.095646
PG 25
WC Ecology; Evolutionary Biology
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA 251GF
UT WOS:000252359800024
DA 2025-01-10
ER

PT J
AU Carvalho, M
   Jones, EL
   Marín-Arroyo, AB
   Geiling, JM
   Straus, LG
   González Morales, MR
AF Carvalho, Milena
   Jones, Emily Lena
   Marin-Arroyo, Ana B.
   Marie Geiling, Jeanne
   Guy Straus, Lawrence
   Gonzalez Morales, Manuel R.
TI Initial and Lower Magdalenian Large Mammal Faunas and Human Subsistence
   at El Miron Cave (Cantabria, Spain)
SO JOURNAL OF PALEOLITHIC ARCHAEOLOGY
LA English
DT Article
DE Cantabria; Zooarchaeology; Initial Magdalenian; Lower Magdalenian; El
   Miron Cave
ID HUMAN BURIAL; LA-VICTORIA; NORTHERN SPAIN; RAMALES; SETTLEMENT; VIEW;
   SITE; OCCUPATIONS; CHRONOLOGY; ASTURIAS
AB In late Upper Paleolithic Cantabrian Spain, humans developed sophisticated territorial systems, used specialized lithic and osseous tools and weapons, and were skilled hunters of red deer and ibex while also depending increasingly on supplementary food resources, as means of adapting to climatic and environmental change after the Last Glacial Maximum. However, the specific effects of the environment on hunting decisions are not well understood for the early Magdalenian. Was subsistence specialization a byproduct of environmental change, does it reflect human population pressure and preferences, or are hunting strategies dictated by the geographic setting of El Miron? In this paper, we present the results of taphonomic and zooarchaeological analyses of Initial and Lower Magdalenian faunas from levels 119.2, 119, and 115 from El Miron, a large cave site in the Ason River valley of montane eastern Cantabria. We assess the human role in accumulation of these faunal assemblages and then explore whether there were differences in subsistence between the Initial and Lower Magdalenian. The results of this study complement analyses of other Magdalenian assemblages from El Miron and support the patterns of general continuity observed for the Cantabrian Magdalenian at several other regional sites.
C1 [Carvalho, Milena; Jones, Emily Lena; Guy Straus, Lawrence] Univ New Mexico, Dept Anthropol, MSC01-1040, Albuquerque, NM 87131 USA.
   [Carvalho, Milena] Univ Algarve, Fac Ciencias Humanas & Sociais, ICArEHB Interdisciplinary Ctr Archaeol & Evolut H, Campus Gambelas, Faro, Portugal.
   [Marin-Arroyo, Ana B.; Marie Geiling, Jeanne; Guy Straus, Lawrence] Univ Cantabria, Dpto Ciencias Hist, Grp IDi EVOADAPTA Evoluc Humana & Adaptac Econs, Av Los Castros 44, E-39005 Santander, Spain.
   [Marin-Arroyo, Ana B.] Univ Cambridge, Dept Archaeol, Downing St, Cambridge CB2 3DZ, England.
   [Gonzalez Morales, Manuel R.] Univ Cantabria, Inst Int Invest Prehist, E-39005 Santander, Spain.
C3 University of New Mexico; Universidade do Algarve; Universidad de
   Cantabria; University of Cambridge; Universidad de Cantabria; Instituto
   Internacional de Investigaciones Prehistoricas de Cantabria (IIIPC)
RP Carvalho, M (corresponding author), Univ New Mexico, Dept Anthropol, MSC01-1040, Albuquerque, NM 87131 USA.; Carvalho, M (corresponding author), Univ Algarve, Fac Ciencias Humanas & Sociais, ICArEHB Interdisciplinary Ctr Archaeol & Evolut H, Campus Gambelas, Faro, Portugal.
EM mcarvalho@unm.edu
RI Geiling, Jeanne/AAX-1248-2020; Marín-Arroyo, Ana/AAT-6209-2020; Jones,
   Emily/AAM-1818-2021
OI Jones, Emily Lena/0000-0002-9927-7469; Marin-Arroyo, Ana
   B./0000-0003-3353-5581; Geiling, Jeanne Marie/0000-0003-0147-3611;
   Carvalho, Milena/0000-0001-9642-9239
FU Spain Fulbright Scholar Award; Latin American and Iberian Institute of
   the University of New Mexico; National Science Foundation Graduate
   Research Fellowship [2016223837]; Gobierno de Cantabria; US National
   Science Foundation; L.S.B. Leakey Foundation; Ministerio de Educacion y
   Ciencia; National Geographic Society; University of New Mexico; UNM
   Foundation Stone Age Research Fund; Fundacion M. Botin
FX Jones' analysis of the El Miron level 115 archaeofauna was supported by
   a Spain Fulbright Scholar Award and by a Faculty Field Research Grant
   from the Latin American and Iberian Institute of the University of New
   Mexico. Carvalho's analysis of the level 119.2 and 119 archaeofaunas was
   supported by a National Science Foundation Graduate Research Fellowship
   (2016223837). Excavations in El Miron, directed by Straus and Gonzalez
   Morales between 1996 and 2013, were authorized and partially funded by
   the Gobierno de Cantabria, with additional funding from the US National
   Science Foundation, Fundacion M. Botin, L.S.B. Leakey Foundation,
   Ministerio de Educacion y Ciencia, National Geographic Society,
   University of New Mexico, and the UNM Foundation Stone Age Research Fund
   (J. and R Auel, principal donors), with material support from the
   Universidad de Cantabria and Town of Ramales de la Victoria.
CR Alimen M-H, 1966, FAUNES FLORES PREHIS, V3
   Altuna J., 1986, Arizona State University Anthropological Research Papers, P237
   Altuna J., 1990, Munibe, V42, P229
   Altuna J., 1985, Munibe, V37, P1
   Altuna J, 2017, BASES SUBSISTENCIA O, V55, P119, DOI [10.2307/j.ctvqht8p.7, DOI 10.2307/J.CTVQHT8P.7]
   Altuna J, 1984, BASES SUBSISTENCIA O
   Altuna J, 1972, FAUNA MAMIFEROS YACI, V24, P465
   Altuna J, 1981, RESTOS OSEOS YACIMIE, V223, P269
   alvarez Alonso D, 2012, PREHISTORIA ARQUEOLO, V5, P171
   alvarez-Fernandez E., 2020, J ARCHAEOLOGICAL SCI, P102092
   Andrews P., 1990, OWLS CAVES FOSSILS
   [Anonymous], 1994, FERVEDES
   [Anonymous], 2014, Biostatistical Analysis
   [Anonymous], 1995, FINAL PALEOLITICO CA
   [Anonymous], 2020, THESIS
   Arroyo ABM, 2008, J ARCHAEOL SCI, V35, P801, DOI 10.1016/j.jas.2007.06.007
   Arroyo ABM, 2009, J ARCHAEOL SCI, V36, P284, DOI 10.1016/j.jas.2008.09.007
   Arroyo ABM, 2009, J ANTHROPOL ARCHAEOL, V28, P27, DOI 10.1016/j.jaa.2008.11.001
   Arroyo ABM, 2009, J ANTHROPOL RES, V65, P69, DOI 10.3998/jar.0521004.0065.106
   Asmussen B, 2009, J ARCHAEOL SCI, V36, P528, DOI 10.1016/j.jas.2008.10.005
   Azorit Concepcion, 2002, Anales de Biologia (Murcia), V24, P107
   Bicho N, 2011, QUATERN INT, V242, P336, DOI 10.1016/j.quaint.2010.12.025
   Binford LewisR., 1978, NUNAMIUT ETHNOARCHAE
   BINFORD LR, 1988, CURR ANTHROPOL, V29, P123, DOI 10.1086/203618
   Blumenschine RJ, 1996, J ARCHAEOL SCI, V23, P493, DOI 10.1006/jasc.1996.0047
   BLUMENSCHINE RJ, 1988, J ARCHAEOL SCI, V15, P483, DOI 10.1016/0305-4403(88)90078-7
   Bosselin B., 1999, Bulletin de la Societe Prehistorique Francaise, V96, P153
   Bosselin B, 2000, ACT 3 C ARQ PEN 2000, V363, P401
   Bourgeon L, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169486
   Boyer-Klein A., 1985, EXCAVACIONES CUEVA J, V14, P57
   BUNN HT, 1991, ANNU REV ANTHROPOL, V20, P433
   Castanos P, 2011, ESTRATEGIAS CAZA SEC, P197
   Cazals N, 2007, QUELLES RELATIONS PA, P125
   Clark GA, 1983, BRIT ARCHAEOLOGICAL, P183
   Clark GA, 1986, TRABAJOS PREHIST, V43, P159
   Clark GA, 1983, LATE PLEISTOCENE HUN, P131
   Corchon MS, 1995, MAGDALENIENSE MEDIO, P119
   Corchon MS, 2006, ACT 15 C MOND LISB 4, P217
   Corchon MS, 2005, PROMONTORIA MONOGRAF, P15
   Costamagno S, 2005, EXPT DATA ARCHAEOLOG, P51
   Cronk BC, 2012, HOW TO USE SPSS, V12
   CRUZURIBE K, 1991, J FIELD ARCHAEOL, V18, P467, DOI 10.2307/530408
   Cuenca-Bescós G, 2012, QUATERN INT, V272, P125, DOI 10.1016/j.quaint.2012.04.035
   Cuenca-Bescós G, 2009, J ARCHAEOL SCI, V36, P947, DOI 10.1016/j.jas.2008.09.025
   Cueto M., 2015, 3 C INT ARQ VIL 8 FE, V8, P75
   David B, 1990, PROBLEM SOLVING TAPH, P65
   Dewbury AG, 2007, J ARCHAEOL SCI, V34, P354, DOI 10.1016/j.jas.2006.05.009
   Domínguez-Rodrigo M, 2017, J ARCHAEOL SCI, V86, P14, DOI 10.1016/j.jas.2017.08.001
   Domínguez-Rodrigo M, 2010, P NATL ACAD SCI USA, V107, P20929, DOI 10.1073/pnas.1013711107
   Egeland CP, 2014, J ARCHAEOL SCI, V49, P126, DOI 10.1016/j.jas.2014.05.007
   Aura JE, 2012, QUATERN INT, V272, P75, DOI 10.1016/j.quaint.2012.05.020
   Faith JT, 2018, ARCHAEOL ANTHROP SCI, V10, P1419, DOI 10.1007/s12520-017-0467-8
   FernandezJalvo Y, 2016, VERTEBR PALEOBIOL PA, P1, DOI 10.1007/978-94-017-7432-1
   Fisher J.W., 1995, Journal of Archaeological Method and Theory, V2, P7, DOI [DOI 10.1007/BF02228434, 10.1007/BF02228434]
   Fontes LM, 2018, J ARCHAEOL SCI-REP, V19, P794, DOI 10.1016/j.jasrep.2017.03.015
   Fontes LM, 2016, QUATERN INT, V412, P66, DOI 10.1016/j.quaint.2015.09.017
   Fontes LM, 2015, J ARCHAEOL SCI, V60, P99, DOI 10.1016/j.jas.2015.03.010
   FREEMAN LG, 1973, AM ANTIQUITY, V38, P3, DOI 10.2307/279309
   Geiling JM, 2018, HIST BIOL, V30, P730, DOI 10.1080/08912963.2017.1385611
   Gifford-Gonzalez D., 2018, INTRO ZOOARCHAEOLOGY, DOI [10.1007/978-3-319-65682-3, DOI 10.1007/978-3-319-65682-3]
   Goebel T, 2011, QUATERN INT, V242, P479, DOI 10.1016/j.quaint.2011.03.043
   Gonza⠁lez Echegaray J., 1981, PALEOLITICO SUPERIOR
   Gonzalez Morales M., 2007, ZONA ARQUEOLOGICA, V7, P483
   Gonzalez Morales M. R., 2013, OVETENSIS RAMALES, P225
   Morales MRG, 2009, ANTIQUITY, V83, P267, DOI 10.1017/S0003598X00098422
   Gonzalez Morales MR, 2005, MAGDALENIAN SEQUENCE, P209
   Gonzalez Morales MR, 2012, ESTUDIOS HOMENAJE PR, P189
   Gonzalez Sainz C, 2004, SOC PALEOLITICO REGI, P275
   González-Sampériz P, 2010, REV PALAEOBOT PALYNO, V162, P427, DOI 10.1016/j.revpalbo.2010.03.009
   Grayson DK, 2002, UPPER PALEOLITHIC GR, P187
   GRAYSON DonaldK., 1984, Quantitative Zooarchaeology: Topics in the Analysis of Archaeological Faunas
   Straus LG, 2015, J ARCHAEOL SCI, V60, P1, DOI 10.1016/j.jas.2015.02.018
   Straus LG, 2015, RADIOCARBON, V57, P183, DOI 10.2458/azu_rc.57.18109
   Straus LG, 2011, ANTIQUITY, V85, P1151, DOI 10.1017/S0003598X00061974
   Straus LG, 2010, RADIOCARBON, V52, P33, DOI 10.1017/S003382220004501X
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Hillson S., 1996, Mammal Bones and Teeth: An Introduction Guide to Methods of Identification
   Hockett BS, 1996, J ARCHAEOL SCI, V23, P587, DOI 10.1006/jasc.1996.0055
   Hopkins R., RADIOCARBON CANTABRI
   Hoyos M A., 1994, GONZALEZ SAINZ CARAC, V1, P21
   Iriarte-Chiapusso MJ, 2015, J ARCHAEOL SCI, V60, P66, DOI 10.1016/j.jas.2015.02.008
   Jones EL, 2004, J ARCHAEOL SCI, V31, P307, DOI 10.1016/j.jas.2003.08.011
   Jones EL, 2019, REVISITING VASCO CAN, P317
   Jones EL, 2016, SPRINGERBRIEFS ARCHA, DOI [10.1007/978-3-319-22351-3, DOI 10.1007/978-3-319-22351-3]
   Jones EL, 2015, J ARCHAEOL SCI-REP, V2, P257, DOI 10.1016/j.jasrep.2015.02.008
   KLEIN R, 1985, MONOGRAFIAS, V14, P99
   Klein R., 1985, MONOGRAFIAS CTR INVE, V14, P99
   Liu L, 2013, P NATL ACAD SCI USA, V110, P5380, DOI 10.1073/pnas.1217864110
   Lyman RL, 2008, CAMB MAN ARCHAEOL, P1, DOI 10.1017/CBO9780511813863
   Lyman RL., 1994, Vertebrate TaphonomyM, DOI 10.1017/CBO9781139878302
   Geiling JM, 2016, PAP INST ARCHAEOL, V26, DOI 10.5334/pia-477
   Geiling JM, 2015, J ARCHAEOL SCI, V60, P47, DOI 10.1016/j.jas.2015.03.005
   MARIEZKURRENA K, 1983, Munibe, V35, P149
   Marin-Arroyo A. B., 2009, WATER AIR SOIL POLL, V2, P1, DOI DOI 10.3828/BFARM.2009.2.3
   Marin-Arroyo AB, 2008, YACIMIENTO PALEOLITI, P69
   MARIN-ARROYO AB, 2010, ARQUEOZOOLOGIA CANTA
   Marín-Arroyo AB, 2020, QUATERN INT, V544, P23, DOI 10.1016/j.quaint.2018.06.036
   Marín-Arroyo AB, 2015, J ARCHAEOL SCI, V60, P75, DOI 10.1016/j.jas.2015.03.009
   Menendez M., 2014, Pleistocene and Holocene Hunter-Gatherers in Iberia and the Gibraltar Strait: The Current Archaeological Record, P60
   Merritt SR, 2019, J ARCHAEOL SCI, V102, P71, DOI 10.1016/j.jas.2018.07.003
   MOUREROMANILLO JA, 1979, WORLD ARCHAEOL, V10, P280, DOI 10.1080/00438243.1979.9979737
   Nakazawa Y, 2009, J ARCHAEOL SCI, V36, P684, DOI 10.1016/j.jas.2008.10.015
   Pales L., 1971, Atlas osteologique pour servir a l'identification des mammiferes du Quaternaire
   Perez Ripoll M, 1992, COLECCION PATRIMONIO, V15
   Portero R, 2019, QUATERN INT, V506, P35, DOI 10.1016/j.quaint.2019.01.016
   Ramil-Rego P., 2001, Vegetacion y cambios climaticos, P139
   Ray N., 2001, Internet Archaeol., V11, DOI DOI 10.11141/IA.11.2
   Reimer PJ, 2020, RADIOCARBON, V62, P725, DOI 10.1017/RDC.2020.41
   Rigaud J-P, 1989, MAGDALENIENSE MEDIO, P419
   Rios-Garaizar J., 2008, SAUTUOLA, V14, P95
   Sainz C.Gonzalez., 1989, El Magdaleniense Superior-Final de la Region Cantabrica
   Sainz CesarGonzalez., 2005, O Paleolitico : actas do IV Congresso de Arqueologia Peninsular (Faro, 14 a 19 de Setembro de 2004), P39
   Sauvet G., 2008, ZEPHYRUS, V61, P35
   Schmid E., 1972, KNOCHENATLAS PRAHIST
   Schmidt I, 2019, HUMAN ADAPTATIONS LA
   Serrano E, 2004, ANAT HISTOL EMBRYOL, V33, P33, DOI 10.1111/j.1439-0264.2004.00506.x
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Corchón MS, 2008, ANTHROPOLOGIE, V112, P284, DOI 10.1016/j.anthro.2008.02.008
   SONNEVILLEBORDE.DD, 1963, SCIENCE, V142, P347, DOI 10.1126/science.142.3590.347
   Soto E, 1984, B REAL I ESTUDIOS AS, V38, P803
   Starkovich BM, 2017, J HUM EVOL, V111, P63, DOI 10.1016/j.jhevol.2017.04.005
   Stevens RE, 2014, PALAEOGEOGR PALAEOCL, V414, P46, DOI 10.1016/j.palaeo.2014.05.049
   Stiner MC, 2001, P NATL ACAD SCI USA, V98, P6993, DOI 10.1073/pnas.121176198
   Straus L.G., 1992, Iberia before the Iberians: The Stone Age Prehistory of Cantabrian Spain
   Straus L.G., 1986, ANTHR RES PAPERS, V36, P237
   Straus L.G., 2014, Zephyrus, V73, P45, DOI DOI 10.14201/ZEPHYRUS2014734565
   Straus L.G., 2000, Bulletin de la Societe prehistorique francaise, V97, P129
   STRAUS L.G., 2007, SHELTERSLEDGE HIST T, V1655, P83
   Straus L.G., 2018, Trab. Prehist., V75, P9, DOI DOI 10.3989/TP.2018.12202
   STRAUS L.G., 2013, ESPACIO TIEMPO FORMA, V5, P413, DOI 10.5944
   Straus L, 2012, QUATERN INT, V272, P1, DOI 10.1016/j.quaint.2012.05.022
   Straus LG, 2016, RADIOCARBON, V58, P943, DOI 10.1017/RDC.2016.84
   Straus LG, 2016, LITHIC TECHNOL, V41, P212, DOI 10.1080/01977261.2016.1175547
   Straus LG, 2008, J FIELD ARCHAEOL, V33, P367
   Straus LG, 2007, RADIOCARBON, V49, P1205, DOI 10.1017/S0033822200043113
   Straus LG, 2019, J ARCHAEOL SCI-REP, V27, DOI 10.1016/j.jasrep.2019.101998
   Straus LG, 2018, ZEPHYRUS, V81, P15, DOI 10.14201/zephyrus2018811530
   Straus LG, 2013, J ARCHAEOL METHOD TH, V20, P236, DOI 10.1007/s10816-012-9152-5
   Straus LG, 2012, QUATERN INT, V272, P111, DOI 10.1016/j.quaint.2012.03.053
   Straus LG, 2005, EVOL ANTHROPOL, V14, P145, DOI 10.1002/evan.20067
   Straus LG, 2002, J ARCHAEOL SCI, V29, P1403, DOI 10.1006/jasc.2001.0800
   Straus LG, 2003, RADIOCARBON, V45, P41
   STRAUS LG, 1986, J ANTHROPOL ARCHAEOL, V5, P330, DOI 10.1016/0278-4165(86)90016-4
   STRAUS LG, 1987, J ARCHAEOL SCI, V14, P163
   Straus LG, 2001, GEOARCHAEOLOGY, V16, P603, DOI 10.1002/gea.1012
   Straus LG, 1996, INTERD CONT, P83
   Straus LG, 2000, J ANTHROPOL RES, V56, P39, DOI 10.1086/jar.56.1.3630967
   STRAUS LG, 1991, CURR ANTHROPOL, V32, P189, DOI 10.1086/203940
   Straus LG, 1983, NUEVA PERSPECTIVA MA, V10
   Straus LG, 2020, SEANCES SOC PREHISTO, P185
   Straus LG, 2019, HUMAN ADAPTATIONS LA, P1
   Straus LG, 1977, DEERSLAYERS MOUNTAIN, P41
   Straus LG, 2015, MAGDALENIAN SETTLEME, P111, DOI [10.2307/j.ctvr43m2m.17, DOI 10.2307/J.CTVR43M2M.17]
   Straus LG, 2015, MAGDALENIAN SETTLEME, P111, DOI [10.2307/j.ctvr43m2m.17, DOI 10.2307/J.CTVR43M2M.17]
   Straus LG, 1990, KOBIE, V19, P22
   Utrilla P., 1981, El Magdaleniense Inferior y Medio en la Costa Cantabrica
   Utrilla P., 1996, El hombre fosil 80 anos despues, P211
   Utrilla P., 2004, Las sociedades paleoliticas de la region cantabrica. Kobie (serie anejos), V8, P243
   Valde-Nowak P., 2018, MULTAS GENTES MULTA, P157
   VanPool TL, 2011, QUANTITATIVE ANALYSIS IN ARCHAEOLOGY, P1
   Vettese D, 2020, ARCHAEOL ANTHROP SCI, V12, DOI 10.1007/s12520-019-00972-8
   VIGAL CR, 1985, ACTA THERIOL, V30, P305, DOI 10.4098/AT.arch.85-21
   VILLA P, 1991, J HUM EVOL, V21, P27, DOI 10.1016/0047-2484(91)90034-S
   WENIGER GC, 1989, J WORLD PREHIST, V3, P323, DOI 10.1007/BF00975326
   Wolverton S, 2016, INT J OSTEOARCHAEOL, V26, P255, DOI 10.1002/oa.2416
   Yravedra J, 2001, ESPACIO TIEMPO FOR 1, V14, P78
NR 166
TC 6
Z9 6
U1 0
U2 3
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2520-8217
J9 J PALEOLITH ARCHAEOL
JI J. Paleolith. Archaeol.
PD JUN
PY 2021
VL 4
IS 2
AR 15
DI 10.1007/s41982-021-00084-7
PG 34
WC Anthropology; Archaeology
WE Emerging Sources Citation Index (ESCI)
SC Anthropology; Archaeology
GA TM3YZ
UT WOS:000675489600009
DA 2025-01-10
ER

PT J
AU Le, ST
   Vo, CD
AF Sang Thanh Le
   Chi Dao Vo
TI The livelihood adaptability of households under the impact of climate
   change in the Mekong Delta
SO JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES
LA English
DT Article
DE Livelihood; Livelihood profile; Adaptation; Employment; Migration
ID SOCIAL VULNERABILITY; ADAPTATION; COASTAL; COMMUNITIES; FARMERS; CONTEXT
AB Purpose This paper aims to provide a deep understanding of rural household livelihoods in the Mekong Delta and to explore how they can cope with climate stressors at the ground level. Design/methodology/approach The paper employs the sustainable livelihood framework at a household and also an individual scale. The general data obtained from a survey of 2,100 households provide an overview of their livelihoods. Qualitative and quantitative methods were adopted, as case studies, to comprehensively assess 100 households in one commune affected by annual floods and an additional 100 households in another commune affected by sea level rises. Livelihood profile analysis is beneficial to identify specific livelihood change patterns that have taken place in these specific cases. Findings There are four types of livelihood adaptation to climate stressors: (1) change of structure of agricultural systems, (2) change of employment locations, (3) resettlement with strong impact on livelihoods and (4) out-migration. The household livelihood resources and the local economic structures have significant roles in driving adaptive solutions. Research limitations/implications This paper provides detailed profiles of the livelihood change considered as passive adaptation of smallholders in the Mekong Delta. Originality/value It contributes to the knowledge of rural households in multiple aspects with regard to how they cope with climate change via reflection on their livelihoods.
C1 [Sang Thanh Le] Southern Inst Social Sci, Ho Chi Minh City, Vietnam.
   [Chi Dao Vo] Ctr Environm Studies CES, Southern Inst Social Sci, Ho Chi Minh City, Vietnam.
RP Vo, CD (corresponding author), Ctr Environm Studies CES, Southern Inst Social Sci, Ho Chi Minh City, Vietnam.
EM vodaochi@hotmail.com
OI Vo, Dao Chi/0000-0003-4221-0666
FU National University of Ho Chi Minh City
FX This article draws from the project titled "Population and Migration in
   Sustainable Development of the Mekong Delta". We gratefully thanks the
   Science and Technology Program for Sustainable Development of the Mekong
   Delta co-hosted by the Vietnam Academy of Social Sciences and the
   National University of Ho Chi Minh City for the project funding.
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Aniah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01492
   [Anonymous], 2007, Climate Change: Impacts, Vulnerabilities and Adaptation in Developing Countries, P68, DOI [DOI 10.1029/2005JD006289, DOI 10.1002/2017EF000539]
   Asian Development Bank (ADB), 2009, EC CLIM CHANG SE AS
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Brown PR, 2018, INT J AGR SUSTAIN, V16, P255, DOI 10.1080/14735903.2018.1472858
   CGIAR Research Program on Climate Change Agriculture and Food Security-Southeast Asia (CCAFS SEA), 2016, ASS REP DROUGHT SAL
   Chapman AD, 2016, CLIMATIC CHANGE, V137, P593, DOI 10.1007/s10584-016-1684-3
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   Nhan DK, 2011, ADV GLOB CHANGE RES, V45, P437, DOI 10.1007/978-94-007-0934-8_24
   Dinh Q, 2012, INT J RIVER BASIN MA, V10, P103, DOI 10.1080/15715124.2012.663383
   Doan T. H., 2014, J WATER RESOUCES ENV, V46, P34
   Dosch J, 2005, European Journal of East Asian Studies, V4, P263, DOI DOI 10.1163/157006105774711422
   Dun O, 2011, INT MIGR, V49, pe200, DOI 10.1111/j.1468-2435.2010.00646.x
   ESCAP, 2017, AG AS PAC OV, P21
   Ferrol-Schulte D, 2013, MAR POLICY, V42, P253, DOI 10.1016/j.marpol.2013.03.007
   Fischer HW, 2016, ENVIRON PLANN A, V48, P789, DOI 10.1177/0308518X15623278
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   General Statistics Office of Vietnam, 2019, Result of the Vietnam household living standards survey 2018
   Groenewald SF, 2012, J DEV STUD, V48, P429, DOI 10.1080/00220388.2011.615923
   GSO (General Statistics Office of Vietnam), 2018, STAT YB VIETN 2018
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Guo GC, 2015, MATH PROBL ENG, V2015, DOI 10.1155/2015/730618
   Nguyen HQ, 2019, J ENVIRON PLANN MAN, V62, P1603, DOI 10.1080/09640568.2019.1568768
   International Institute for Environment and Development, 2000, SUST CIT REV 3 7060I
   Kam S.P., 2012, AUTONOMOUS ADAPTATIO, P24
   Khatiwada SP, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9040612
   Koh J, 2011, LOCAL SUSTAIN, V1, P411, DOI 10.1007/978-94-007-0785-6_42
   Krantz L., 2001, IEEE T ULTRASON FERR
   Le T.S., 2018, KHCNTNB1419 SO I SOC
   Messer N., 2003, Local institutions and livelihoods: Guidelines for analysis
   Molle F., 2012, Contested waterscapes mekong reg. hydropower
   Ngo T.P.L., 2014, RICE SHRIMP BEHAV MI
   O'Meara P, 2019, AUST J RURAL HEALTH, V27, P281, DOI 10.1111/ajr.12543
   Park D., 2011, IMPACT POPULATION AG, P30
   Renaud FG, 2015, CLIMATIC CHANGE, V133, P69, DOI 10.1007/s10584-014-1113-4
   Seijger C, 2019, REG ENVIRON CHANGE, V19, P1131, DOI 10.1007/s10113-019-01464-0
   Smajgl A., 2018, CLIMATE CHANGE ADAPT, P9
   Smith TF, 2013, SUSTAINABILITY-BASEL, V5, P228, DOI 10.3390/su5010228
   Stone R, 2016, SCIENCE, V354, P1084, DOI 10.1126/science.354.6316.1084
   Trana TA, 2018, LEARN CULT SOC INTER, V16, P31, DOI 10.1016/j.lcsi.2017.11.002
   Tran TPH, 2013, MAR POLICY, V38, P417, DOI 10.1016/j.marpol.2012.06.021
   UNDP, 2010, GUID NOT REC LIV
   UNDP, 2020, LIV EC REC
   UNFPA and GSO, 2016, VIETN POP PROJ 2014
   Vignola R., 2015, ECOSYSTEM BASED ADAP
   Warner K, 2010, NAT HAZARDS, V55, P689, DOI 10.1007/s11069-009-9419-7
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Zhang CJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041150
NR 49
TC 5
Z9 6
U1 2
U2 49
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 2044-0839
EI 2044-0847
J9 J AGRIBUS DEV EMERG
JI J. Agribus. Dev. Emerg. Econ.
PD FEB 11
PY 2021
VL 11
IS 1
SI SI
BP 7
EP 26
DI 10.1108/JADEE-09-2019-0139
EA AUG 2020
PG 20
WC Agricultural Economics & Policy; Economics
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Business & Economics
GA QK1HV
UT WOS:000561476100001
DA 2025-01-10
ER

PT C
AU Suciu, G
   Usurelu, T
   Balaceanu, CM
   Anwar, M
AF Suciu, George
   Usurelu, Teodora
   Balaceanu, Cristina M.
   Anwar, Muneeb
BE Abramowicz, W
   Paschke, A
TI Adaptation of Irrigation Systems to Current Climate Changes
SO BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2018)
SE Lecture Notes in Business Information Processing
LA English
DT Proceedings Paper
CT 21st International Conference on Business Information Systems (BIS)
CY JUL 18-20, 2018
CL Berlin, GERMANY
SP Fraunhofer Inst Open Commun Syst, Poznan Univ Econ & Business, Dept Informat Syst
DE Irrigation system; Control strategies; Telemetry
AB Irrigation is a hydroameliorative measure, which involves controlled water management, in addition to natural water, to ensure and increase crop yield and harvest quality. The idea of artificially wetting agricultural crops to guarantee great produce has emerged since antiquity. Civilizations in arid areas of the globe have had to adapt to climate conditions to ensure their existence by developing irrigation systems that give them greater control over farming practices. Over time, due to the increase in greenhouse gas emissions, several climatic changes have taken place: temperatures have risen, precipitation patterns have changed, glaciers have melted, sea and ocean levels have increased. To ensure its existence, the contemporary population needs irrigation systems adapted to the current environmental conditions. In this point, Beia and the Polytechnic University of Bucharest have developed a decision support system for an irrigation system that considers parameters such as: air and soil humidity and temperature, plant evapotranspiration, precipitation intensity, wind direction and speed, and relative pressure, to ensure the efficient use of water and energy resources in agriculture. The decision support system aims to develop a startup command for irrigation pumps for a certain amount of time-based on the information received from the transducers. This order is passed to the farmer in the form of an irrigation report as a support in his decision, but the decision to use the proposed arrangement is exclusive to the farmer.
C1 [Suciu, George; Usurelu, Teodora; Balaceanu, Cristina M.; Anwar, Muneeb] Beia Consult Int, 16 Peroni Rd, Bucharest, Romania.
RP Suciu, G (corresponding author), Beia Consult Int, 16 Peroni Rd, Bucharest, Romania.
EM george@beia.ro; teodora.usurelu@beia.ro; cristina.balaceanu@beia.ro;
   ma@beia.ro
RI Suciu, George/G-9070-2014; Balaceanu, Cristina/AAA-6062-2021
OI Dobre, Cristina Mihaela/0000-0002-8664-336X
FU UEFISCDI Romania; European Union [777996, 787002]; Marie Curie Actions
   (MSCA) [777996] Funding Source: Marie Curie Actions (MSCA)
FX This work has been supported in part by UEFISCDI Romania and MCI through
   projects WATER-M, Power2SME, CitiSim and SeaForest, TelMonAer, and
   funded in part by European Union's Horizon 2020 research and innovation
   program under grant agreement No. 777996 (SealedGRID project) and No.
   787002 (SAFECARE project).
CR [Anonymous], 2017, BASIC TEXTS FOOD AGR, V2
   [Anonymous], 2017, BASIC TEXTS FOOD AGR, V1
   beiaro, SA TERRA
   Burkett VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P169
   Burnete C., 2017, ROMANIAS 7 NATL COMM
   De Pascale S, 2011, HORTTECHNOLOGY, V21, P301, DOI 10.21273/HORTTECH.21.3.301
   DROUGHT, 2015 WAT YEAR IS HOT
   Frisvold G, 2016, J CONTEMP WAT RES ED, V158, P62, DOI 10.1111/j.1936-704X.2016.03219.x
   Galande S.G., 2015, INT J SCI ENG TECHNO, V4, P2491
   Janick J, 2002, ACTA HORTIC, P23, DOI 10.17660/ActaHortic.2002.582.1
   Jensen M.E., 2016, EVAPORATION EVAPOTRA, V70
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Jung M., 2010, RECENT DECLINE GLOBA
   Kovats RS, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1267
   nasa, About us
   scientificamerican, GLOBAL WARMING SCI E
   Skeptical Science, ABOUT US
   water ca, WATER CONDITIONS
NR 18
TC 0
Z9 0
U1 0
U2 2
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1865-1348
EI 1865-1356
BN 978-3-030-04849-5; 978-3-030-04848-8
J9 LECT NOTES BUS INF P
PY 2019
VL 339
BP 534
EP 549
DI 10.1007/978-3-030-04849-5_47
PG 16
WC Computer Science, Information Systems
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BT0TX
UT WOS:000792555500047
DA 2025-01-10
ER

PT J
AU Zhang, Y
   Zhao, YX
AF Zhang, Yi
   Zhao, Yanxia
TI Ensemble yield simulations: Using heat-tolerant and later-maturing
   varieties to adapt to climate warming
SO PLOS ONE
LA English
DT Article
ID NORTH CHINA PLAIN; TROPICAL MAIZE HYBRIDS; GRAIN-YIELD; KERNEL SET; RICE
   YIELD; STRESS; MODEL; WHEAT; UNCERTAINTIES; IMPACT
AB The use of modern crop varieties is a dominant method of obtaining high yields in crop production. Efforts to identify suitable varieties, with characteristics that would increase crop yield under future climate conditions, remain essential to developing sustainable agriculture and food security. This work aims to evaluate potential genotypic adaptations (i.e., using varieties with increased ability to produce desirable grain numbers under high temperatures and with enhanced thermal time requirements during the grain-filling period) to cope with the negative impacts of climate change on maize yield. The contributions of different options were investigated at six sites in the North China Plain using the APSIM model and the outputs of 8 GCMs under RCP4.5 scenarios. It was found that without considering adaptation options, mean maize yield would decrease by 7 similar to 18% during 2010-2039 relative to 1976-2005. A large decrease in grain number relative to stabilized grain weight decreased maize yield under future climate scenarios. Using heat-tolerant varieties, maize yield could increase on average by 6% to 10%. Using later maturing varieties, e.g., enhanced thermal time requirements during the grain-filling period, maize yield could increase by 7% to 10%. The optimal adaptation options were site specific.
C1 [Zhang, Yi; Zhao, Yanxia] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China.
   [Zhao, Yanxia] Shanghai Inst Meteorol Sci, Shanghai, Peoples R China.
C3 China Meteorological Administration; Chinese Academy of Meteorological
   Sciences (CAMS)
RP Zhao, YX (corresponding author), Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China.; Zhao, YX (corresponding author), Shanghai Inst Meteorol Sci, Shanghai, Peoples R China.
EM zyx@camscma.cn
RI zhao, yanxia/G-8679-2011; Zhang, Yi/L-7562-2019
FU Special Research Fund for Meteorology of China [GYHY201406026]; National
   Science Foundation of China [41505097]
FX This research was supported by Special Research Fund for Meteorology of
   China (Grant No. GYHY201406026), and National Science Foundation of
   China (41505097).
CR Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   CARBERRY PS, 1989, FIELD CROP RES, V20, P297, DOI 10.1016/0378-4290(89)90072-5
   Chen C, 2010, AGRON J, V102, P1037, DOI 10.2134/agronj2009.0505
   Cicchino M, 2010, CROP SCI, V50, P1438, DOI 10.2135/cropsci2009.10.0574
   Deryng D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034011
   Duncan JMA, 2015, GLOBAL CHANGE BIOL, V21, P1541, DOI 10.1111/gcb.12660
   Echarte L, 2004, CROP SCI, V44, P1654, DOI 10.2135/cropsci2004.1654
   Edreira JIR, 2013, FIELD CROP RES, V142, P58, DOI 10.1016/j.fcr.2012.11.009
   Gouache D, 2012, EUR J AGRON, V39, P62, DOI 10.1016/j.eja.2012.01.009
   Guo RP, 2010, AGR WATER MANAGE, V97, P1185, DOI 10.1016/j.agwat.2009.07.006
   Hammer GL, 2010, J EXP BOT, V61, P2185, DOI 10.1093/jxb/erq095
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Krishnan P, 2007, AGR ECOSYST ENVIRON, V122, P233, DOI 10.1016/j.agee.2007.01.019
   Li T, 2015, GLOBAL CHANGE BIOL, V21, P1328, DOI 10.1111/gcb.12758
   Liu Y, 2014, REG ENVIRON CHANGE, V14, P49, DOI 10.1007/s10113-013-0455-1
   Otegui ME, 1998, FIELD CROP RES, V56, P247, DOI 10.1016/S0378-4290(97)00093-2
   [Planton S. IPCC IPCC], 2013, CLIM CHANG 2013 PHYS
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Edreira JIR, 2011, FIELD CROP RES, V123, P62, DOI 10.1016/j.fcr.2011.04.015
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   SCHOPER JB, 1987, CROP SCI, V27, P27, DOI 10.2135/cropsci1987.0011183X002700010007x
   Stratonovitch P, 2014, J EXP BOT
   Sun HY, 2007, IND CROP PROD, V25, P239, DOI 10.1016/j.indcrop.2006.12.003
   Tachie-Obeng E, 2013, ENVIRON DEV, V5, P131, DOI 10.1016/j.envdev.2012.11.008
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Tebaldi C, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033423
   Tingem M, 2009, MITIG ADAPT STRAT GL, V14, P153, DOI 10.1007/s11027-008-9156-3
   Velázquez JA, 2013, HYDROL EARTH SYST SC, V17, P565, DOI 10.5194/hess-17-565-2013
   Wang J, 2012, CLIMATIC CHANGE, V113, P825, DOI 10.1007/s10584-011-0385-1
   Wang M, 2011, CLIM RES, V46, P223, DOI 10.3354/cr00986
   Xiong W, AGR ECOSYST ENV, V196, P125
   Xiong W, 2007, CLIMATIC CHANGE, V85, P433, DOI 10.1007/s10584-007-9284-x
   Yu YQ, 2012, FIELD CROP RES, V136, P65, DOI 10.1016/j.fcr.2012.07.021
   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 Y, 2016, THEOR APPL CLIMATOL, V1-7
   Zhang Y, 2015, J APPL METEOROL CLIM, V54, P785, DOI 10.1175/JAMC-D-14-0147.1
   Zhao J, 2015, EUR J AGRON, V67, P12, DOI 10.1016/j.eja.2015.03.006
   Zhao LongFei Zhao LongFei, 2012, Acta Agronomica Sinica, V38, P857, DOI 10.3724/SP.J.1006.2012.00857
NR 43
TC 10
Z9 10
U1 4
U2 57
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD MAY 1
PY 2017
VL 12
IS 5
AR e0176766
DI 10.1371/journal.pone.0176766
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ET9RJ
UT WOS:000400645000059
PM 28459880
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Nguyen, TPL
   Seddaiu, G
   Virdis, SGP
   Tidore, C
   Pasqui, M
   Roggero, PP
AF Thi Phuoc Lai Nguyen
   Seddaiu, Giovanna
   Virdis, Salvatore Gonario Pasquale
   Tidore, Camillo
   Pasqui, Massimiliano
   Roggero, Pier Paolo
TI Perceiving to learn or learning to perceive? Understanding farmers'
   perceptions and adaptation to climate uncertainties
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate variability; Socio-cognitive learning process; Adaptation
   strategies; Mediterranean agricultural systems
ID LAND-USE; VARIABILITY; KNOWLEDGE; DROUGHT; FUTURE; RISK; RAIN;
   COMMUNITIES; SOUTHERN; INSIGHTS
AB Perception not only shapes knowledge but knowledge also shapes perception. Humans adapt to the natural world through a process of learning in which they interpret their sensory impressions in order to give meaning to their environment and act accordingly. In this research, we examined how farmers' decision making is shaped in the context of changing climate. Using empirical data (face-to-face semi-structured interviews and questionnaires) on four Mediterranean farming systems from a case study located in Oristano (Sardinia, Italy) we sought to understand farmers' perception of climate change and their behaviors in adjustment of farming practices. We found different perceptions among farmer groups were mainly associated with the different socio-cultural and institutional settings and perceived relationships between climate factors and impacts on each farming systems. The research findings on different perceptions among farmer groups can help to understand farmers' current choices and attitudes of adaptation for supporting the development of appropriate adaptation strategies. In addition, the knowledge of socio-cultural and economic factors that lead to biases in climate perceptions can help to integrate climate communication into adaptation research for making sense of climate impacts and responses at farm level. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Thi Phuoc Lai Nguyen] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam.
   [Thi Phuoc Lai Nguyen; Seddaiu, Giovanna; Roggero, Pier Paolo] Univ Sassari, NRD, Viale Italia 39, I-07100 Sassari, Italy.
   [Seddaiu, Giovanna; Roggero, Pier Paolo] Univ Sassari, Dipartimento Agraria, Viale Italia 39, I-07100 Sassari, Italy.
   [Virdis, Salvatore Gonario Pasquale] Univ Nottingham Malaysia Campus, Sch Geog, JalanBroga, Semenyih 43500, Selangor Darul, Malaysia.
   [Virdis, Salvatore Gonario Pasquale] Crops Future, Jalan Broga, Semenyih 43500, Selangor Darul, Malaysia.
   [Tidore, Camillo] Univ Sassari, Dipartimento Sci Polit Sci Comunicaz & Ingn Infor, Viale Mancini 5, I-07100 Sassari, Italy.
   [Pasqui, Massimiliano] IBIMET CNR, Ist Biometeorol Consiglio Nazl Ric, Via Taurini 19, I-00185 Rome, Italy.
C3 Ton Duc Thang University; University of Sassari; University of Sassari;
   University of Nottingham Malaysia; University of Sassari; Consiglio
   Nazionale delle Ricerche (CNR); Istituto di Biometeorologia (IBIMET-CNR)
RP Nguyen, TPL (corresponding author), Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam.
EM nguyenthiphuoclai@tdt.edu.vn
RI Pasqui, Massimiliano/M-9971-2019; Virdis, Salvatore/ABB-3592-2021;
   Roggero, Pier Paolo/D-2580-2012; Pasqui, Massimiliano/F-8259-2010
OI Pasqui, Massimiliano/0000-0002-0926-362X; Nguyen, Thi Phuoc
   Lai/0000-0003-2827-5762; Virdis, Salvatore Gonario
   Pasquale/0000-0003-3927-9494
FU Agroscenari project [D.M. 8608/7303/2008]; FACCE JPI knowledge hub
   "MACSUR" - Italian Ministry of Agricultural, Food and Forestry Policies
   [D.M. 2660/7303/2012]
FX This study was financially supported by the Agroscenari project (D.M.
   8608/7303/2008 - www.agroscenari.it) and by the FACCE JPI knowledge hub
   "MACSUR" (D.M. 2660/7303/2012 - www.macsur.eu) funded by the Italian
   Ministry of Agricultural, Food and Forestry Policies. The authors thank
   the Farmers' Unions Confagricoltura, Coldiretti, CIA of Oristano
   Province and all farmers involved in the interviews and questionnaires;
   Marco Peterle and Gianni Sardo, respectively Director and President of
   the "Cooperativa Produttori Arborea". A special thank to Sandra Pintus,
   "Consorzio di Bonifica dell'Oristanese" who mobilized farmers to
   participate in this study; Luca Gennaro who provided logistic support
   during the semi-structured interviews and Paola Fenu and Tore Pala, for
   taking care of the Santa Lucia weather station and dataset.
CR Abildtrup J, 2006, ENVIRON SCI POLICY, V9, P101, DOI 10.1016/j.envsci.2005.11.002
   Ajzen I, 2002, J APPL SOC PSYCHOL, V32, P665, DOI 10.1111/j.1559-1816.2002.tb00236.x
   Albert C, 2012, LANDSCAPE URBAN PLAN, V105, P347, DOI 10.1016/j.landurbplan.2011.12.024
   [Anonymous], AMBIENTE AGRICOLTURA
   [Anonymous], APPL DIRETTIVA NITRA
   [Anonymous], 1970, The Intelligent Eye
   [Anonymous], 1986, The EcologicalApproach toVisual Perception, DOI 10.1177/0956797611429578
   [Anonymous], CLIMATE IMPACT ASSES
   [Anonymous], 1969, Principles of perceptual learning and development
   [Anonymous], 1966, The Senses Considered As Perceptual Systems
   [Anonymous], 2000, HDB RES METHODS SOCI
   [Anonymous], ENV BEHAV
   [Anonymous], GLOB ENV CHANG
   [Anonymous], INT ENCY SOCIAL BEHA
   [Anonymous], 106 U CHIC DEP GEOGR
   [Anonymous], AN AGR CLIM SARD AN
   [Anonymous], 2017, CLIMATE CHANGE IMPAC
   Asayama S, 2015, CURR SOCIOL, V63, P89, DOI 10.1177/0011392114559849
   ASCHMANN H, 1973, P11
   Audsley E, 2006, ENVIRON SCI POLICY, V9, P148, DOI 10.1016/j.envsci.2005.11.008
   Bardsley DK, 2007, ENVIRON SCI POLICY, V10, P230, DOI 10.1016/j.envsci.2006.12.002
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P512, DOI 10.1016/j.envsci.2007.02.007
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Colvin J, 2014, RES POLICY, V43, P760, DOI 10.1016/j.respol.2013.12.010
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Demurtas CE, 2016, AGR ECOSYST ENVIRON, V219, P83, DOI 10.1016/j.agee.2015.12.010
   Dinse Hubert R, 2008, Human haptic perception: Basics and applications, P165
   Dono G, 2014, GER J AGR ECON, V63, P177
   Dono G, 2013, AGR SYST, V117, P1, DOI 10.1016/j.agsy.2013.01.005
   Downe-Wamboldt B, 1992, Health Care Women Int, V13, P313
   Etkin D, 2007, J RISK RES, V10, P623, DOI 10.1080/13669870701281462
   Ferrier N, 2003, NAT HAZARDS, V28, P271, DOI 10.1023/A:1022986226340
   Fleming A, 2010, AGRON SUSTAIN DEV, V30, P11, DOI 10.1051/agro/2009028
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   GIBSON EJ, 1963, ANNU REV PSYCHOL, V14, P29, DOI 10.1146/annurev.ps.14.020163.000333
   Goldstone RL, 1998, ANNU REV PSYCHOL, V49, P585, DOI 10.1146/annurev.psych.49.1.585
   Granderson AA, 2014, CLIM RISK MANAG, V3, P55, DOI 10.1016/j.crm.2014.05.003
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Islam MM, 2013, J ENVIRON PSYCHOL, V34, P137, DOI 10.1016/j.jenvp.2013.02.002
   Jones A., 1990, Australian Journal of Educational Technology, V6, P114
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kellman PJ, 2013, PSYCHOL LEARN MOTIV, V58, P117, DOI 10.1016/B978-0-12-407237-4.00004-9
   Kiriscioglu T, 2013, J ENVIRON PSYCHOL, V33, P86, DOI 10.1016/j.jenvp.2012.11.001
   Koutroulis AG, 2013, J HYDROL, V479, P146, DOI 10.1016/j.jhydrol.2012.11.055
   Lebel L, 2010, INT ENVIRON AGREEM-P, V10, P333, DOI 10.1007/s10784-010-9142-6
   Lejano RP, 2013, ENVIRON SCI POLICY, V31, P61, DOI 10.1016/j.envsci.2013.02.009
   Likert R., 1932, ARCH PSYCHOLOGIE, V140, P5, DOI 1933-01885-001
   Marshall NA, 2013, AGR SYST, V117, P30, DOI 10.1016/j.agsy.2013.01.003
   Milgroom J, 2013, AGR SYST, V118, P91, DOI 10.1016/j.agsy.2013.03.002
   Mubaya CP, 2012, J ENVIRON MANAGE, V102, P9, DOI 10.1016/j.jenvman.2012.02.005
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Newell R, 2015, ENVIRON COMMUN, V9, P208, DOI 10.1080/17524032.2014.993412
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   ORLOVE BS, 1980, ANNU REV ANTHROPOL, V9, P235, DOI 10.1146/annurev.an.09.100180.001315
   Park C., 1999, Perception of hazards and extreme events
   PICK HL, 1992, DEV PSYCHOL, V28, P787, DOI 10.1037/0012-1649.28.5.787
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Robbins S.P., 2017, Essentials of organizational behavior, V14th
   Rock I., 1983, LOGIC PERCEPTION
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Nguyen TPL, 2014, INT J AGR SUSTAIN, V12, P164, DOI 10.1080/14735903.2013.825995
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Wang YX, 2005, ICCI 2005: FOURTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS - PROCEEDINGS, P203
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
NR 76
TC 99
Z9 107
U1 2
U2 69
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD MAR
PY 2016
VL 143
BP 205
EP 216
DI 10.1016/j.agsy.2016.01.001
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA DE8VL
UT WOS:000370914700019
DA 2025-01-10
ER

PT S
AU Costas, S
   Brito, P
   Fitzgerald, D
   Goble, R
AF Costas, Susana
   Brito, Pedro
   Fitzgerald, Duncan
   Goble, Ronald
BE Martini, IP
   Wanless, HR
TI Climate-driven episodes of dune mobilization and barrier growth along
   the central coast of Portugal
SO SEDIMENTARY COASTAL ZONES FROM HIGH TO LOW LATITUDES: SIMILARITIES AND
   DIFFERENCES
SE Geological Society Special Publication
LA English
DT Article; Book Chapter
ID HOLOCENE ENVIRONMENTAL-CHANGES; NORTH-ATLANTIC OSCILLATION; SEA-LEVEL
   RISE; LATE PLEISTOCENE; MONTANE REGION; SAND INVASION; EVOLUTION;
   SINGLE; LAGOON; QUARTZ
AB Here, we explore the evolution of the coastal stretch between Mira Beach and Quiaios Beach in Portugal to understand how it adapted to climatic oscillations. To accomplish this, we integrate subsurface radar images, and sedimentological and chronological data, of the emerged coastal barrier. Our results show the installation and progradation of a stable barrier anchored to transgressive dunes 400 years ago. This is just the last pulse of barrier growth within a complex approximately 5000 year-long history of shoreline stability/instability. Episodes of inland dune mobility have been related to instabilities in the beach sediment budget driven by enhanced storminess and wave rotation around 4.25 and 1.14 ka ago. Conversely, lagoonal deposits documented in the literature suggest periods of relative barrier stability and growth around 4.3 and 2.7 cal ka BP. Wave and wind climate variability are driven by shifts in one of the major modes of atmospheric circulation in the North Atlantic, the North Atlantic Oscillation (NAO). Episodes of persistent positive mode of the NAO related to barrier growth and enhanced longshore sediment transport; those of persistent negative mode contributed to instabilities in the beach sediment budget and aeolian activity by enhancing storminess, but reduced effective longshore sediment transport.
C1 [Costas, Susana; Brito, Pedro] Lab Nacl Energia & Geol, P-2610999 Amadora, Portugal.
   [Fitzgerald, Duncan] Boston Univ Earth & Environm, Boston, MA 02215 USA.
   [Goble, Ronald] Univ Nebraska, Lincoln, NE 68583 USA.
C3 Laboratorio Nacional de Energia e Geologia IP (LNEG); Boston University;
   University of Nebraska System; University of Nebraska Lincoln
RP Costas, S (corresponding author), Lab Nacl Energia & Geol, Estr Portela Bairro Zambujal, P-2610999 Amadora, Portugal.
EM susana.costas@lneg.pt
RI Costas, Susana/G-5388-2013; Brito, Pedro/D-8267-2017
OI Costas, Susana/0000-0002-4005-077X; Brito, Pedro/0000-0001-7130-451X
CR Abecasis C.K., 1954, PROC 5 C COASTAL ENG, P329
   Adamiec G., 1998, ANCIENT TL, V16, P37
   ALMEIDA A. C., 2012, REV GEOGRAFIA ORDENA, V2, P7
   Andrade C., 2002, Climate Change in Portugal-Scenarios, Impacts and Adaptation Measures-SIAM Project, P173
   [Anonymous], 1998, An Introduction to Optical Dating: The Dating of Quaternary Sediments by the Use of Photon-Stimulated Luminescence, DOI 10.2307/506799
   [Anonymous], 1890, US GEOLOGICAL SURVEY
   Bailey RM, 2006, QUATERNARY SCI REV, V25, P2475, DOI 10.1016/j.quascirev.2005.09.012
   Bao R, 2007, PALAEOGEOGR PALAEOCL, V247, P296, DOI 10.1016/j.palaeo.2006.10.019
   Bao R, 1999, HOLOCENE, V9, P341, DOI 10.1191/095968399675815073
   BARATA A.M.G.O., 1996, Recursos Hidricos, V17, P43
   Bauer BO, 2003, GEOMORPHOLOGY, V49, P89, DOI 10.1016/S0169-555X(02)00165-4
   BEAUMONT L. E. D., 1845, LECONS GEOLOGIC PRAC, P221
   Bernardes C, 2007, J COASTAL RES, P1092
   Bianchi GG, 1999, NATURE, V397, P515, DOI 10.1038/17362
   Bird MI, 2007, ESTUAR COAST SHELF S, V71, P523, DOI 10.1016/j.ecss.2006.07.004
   Bond G, 2001, SCIENCE, V294, P2130, DOI 10.1126/science.1065680
   Bradley R.S., 1993, Holocene, V3, P367, DOI [10.1177/095968369300300409, DOI 10.1177/095968369300300409]
   Brennan BJ, 2003, RADIAT MEAS, V37, P299, DOI 10.1016/S1350-4487(03)00011-8
   Bristow CS, 2006, SEDIMENTOLOGY, V53, P769, DOI 10.1111/j.1365-3091.2006.00792.x
   Bristow CS, 2000, SEDIMENTOLOGY, V47, P923, DOI 10.1046/j.1365-3091.2000.00330.x
   Brooks GR, 2003, MAR GEOL, V200, P307, DOI 10.1016/S0025-3227(03)00189-0
   Büntgen U, 2011, SCIENCE, V331, P578, DOI 10.1126/science.1197175
   Buynevich IV, 2007, GEOLOGY, V35, P543, DOI 10.1130/G23636A.1
   Cabral MC, 2006, MAR MICROPALEONTOL, V60, P181, DOI 10.1016/j.marmicro.2006.04.003
   Carrión JS, 2007, QUATERNARY SCI REV, V26, P1455, DOI 10.1016/j.quascirev.2007.03.013
   Carrión JS, 2010, REV PALAEOBOT PALYNO, V162, P458, DOI 10.1016/j.revpalbo.2009.12.007
   Carrión JS, 2002, QUATERNARY SCI REV, V21, P2047, DOI 10.1016/S0277-3791(02)00010-0
   CARVALHO M., 1996, RECURSOS HIDRICOS, V17, P33
   Cearreta A, 2003, HOLOCENE, V13, P447, DOI 10.1191/0959683603hl637rp
   Clarke ML, 2006, HOLOCENE, V16, P341, DOI 10.1191/0959683606hl932rp
   Corrochano A, 2000, STUDIA GEOLOGICA SAL, V36, P143
   COSTA C. L., 1994, 694A LNEC I HIDR
   Costas S, 2012, QUATERNARY SCI REV, V42, P15, DOI 10.1016/j.quascirev.2012.03.008
   Costas S, 2009, EARTH SURF PROC LAND, V34, P1575, DOI 10.1002/esp.1849
   COWELL PJ, 1995, MAR GEOL, V126, P45, DOI 10.1016/0025-3227(95)00065-7
   Daniels D.J., 2007, Ground penetrating radar, DOI 10.1002/0471654507.eme152
   Danielsen R, 2012, HOLOCENE, V22, P383, DOI 10.1177/0959683611425554
   Davidson-Arnott RGD, 2005, GEOMORPHOLOGY, V68, P115, DOI 10.1016/j.geomorph.2004.04.008
   Desprat S, 2003, EARTH PLANET SC LETT, V213, P63, DOI 10.1016/S0012-821X(03)00292-9
   Dias JMA, 2000, MAR GEOL, V170, P177, DOI 10.1016/S0025-3227(00)00073-6
   Dinis JL, 2006, QUATERN INT, V150, P41, DOI 10.1016/j.quaint.2006.01.025
   Durcan JA, 2011, RADIAT MEAS, V46, P1065, DOI 10.1016/j.radmeas.2011.07.016
   EUROSION, 2003, EUR PIL SIT RIV DOUR
   EVANS MW, 1985, MAR GEOL, V63, P263, DOI 10.1016/0025-3227(85)90086-6
   FERREIRA O, 1998, THESIS U ALGARVE FAR
   FitzGerald DM, 2008, ANNU REV EARTH PL SC, V36, P601, DOI 10.1146/annurev.earth.35.031306.140139
   Fletcher WJ, 2007, HOLOCENE, V17, P481, DOI 10.1177/0959683607077027
   FREITAS A. S. B., 1940, DUNAS QUIAIOS BREVES
   Freitas MD, 2003, HOLOCENE, V13, P433, DOI 10.1191/0959683603hl636rp
   Galbraith RF, 1999, ARCHAEOMETRY, V41, P339, DOI 10.1111/j.1475-4754.1999.tb00987.x
   GIRAO A., 1941, Geografia de Portugal
   Granja H, 2010, QUATERN INT, V221, P46, DOI 10.1016/j.quaint.2009.11.004
   Granja H.M., 2000, ESTUD QUATERN RIO, V3, P73, DOI [10.30893/eq.v0i3.34, DOI 10.30893/EQ.V0I3.34]
   GRANJA H. M., 1996, LAGUNAS COSTEIRAS IL, P87
   Granja H.M., 2002, O Litoral em perspectiva historica (Sec. XVI a XVIII), Instituto de Historia Moderna, P93
   Granja H.M., 1996, Partnership in Coastal Zone Management (Proceeding 3rd International Symposium EUROCOAST, Littoral 96, Portsmouth, U.K.). Samara Publishing Limited, P297
   Granja HM, 2008, SEDIMENTOLOGY, V55, P1203, DOI 10.1111/j.1365-3091.2007.00943.x
   Granja HM, 1999, GEOL MIJNBOUW-N J G, V77, P233
   Granja HM, 1996, J COASTAL RES, V12, P160
   Guerin G., 2011, ANCIENT TL, V29, P5, DOI DOI 10.1016/J.RADMEAS.2012.04.004
   HOFFMANN G., 1990, AMBIENTES GEOLOGICOS, P115
   HOYT JH, 1967, GEOL SOC AM BULL, V78, P1125, DOI 10.1130/0016-7606(1967)78[1125:BIF]2.0.CO;2
   Lebreiro SM, 2006, HOLOCENE, V16, P1003, DOI 10.1177/0959683606hl990rp
   Leorri E, 2013, HOLOCENE, V23, P353, DOI 10.1177/0959683612460786
   Marchant R, 2004, EARTH-SCI REV, V66, P217, DOI 10.1016/j.earscirev.2004.01.003
   Martínez-Cortizas A, 1999, SCIENCE, V284, P939, DOI 10.1126/science.284.5416.939
   Masetti R, 2008, CONT SHELF RES, V28, P1116, DOI 10.1016/j.csr.2008.02.021
   McDermott F, 2001, SCIENCE, V294, P1328, DOI 10.1126/science.1063678
   Méndez G, 2003, J SEDIMENT RES, V73, P1078, DOI 10.1306/033103731078
   MENEZES G., 2011, THESIS U COIMBRA COI
   Mitchum R., 1977, Seismic Stratigraphy-Applications to Hydrocarbon Exploration, P117
   Murray AS, 2003, RADIAT MEAS, V37, P377, DOI 10.1016/S1350-4487(03)00053-2
   Murray AS, 2000, RADIAT MEAS, V32, P57, DOI 10.1016/S1350-4487(99)00253-X
   Naughton F, 2007, J COASTAL RES, V23, P711, DOI 10.2112/05-0462.1
   NOIVO LMS, 1996, THESIS U AVEIRO AVEI
   OLIVEIRA I. B. M., 1982, COASTAL ENG
   OLIVEIRA I.B.M., 1997, Colectanea de Ideias Sobre a Zona Costeira de Portugal, P205
   PRESCOTT JR, 1994, RADIAT MEAS, V23, P497, DOI 10.1016/1350-4487(94)90086-8
   PSUTY NP, 1992, COASTAL DUNES : GEOMORPHOLOGY, ECOLOGY AND MANAGEMENT FOR CONSERVATION, P3
   RAMPINO MR, 1981, SEDIMENTOLOGY, V28, P37, DOI 10.1111/j.1365-3091.1981.tb01661.x
   ROCHA F., 1997, QUATERNARY STUDIES, V1, P67
   Rodnight H., 2008, Anc TL, V26, P3
   Sabatier P, 2012, QUATERNARY RES, V77, P1, DOI 10.1016/j.yqres.2011.09.002
   SERVICO METEOROLOGICO NACIONAL, 1974, ATL CLIM PORT CONT
   Sorrel P, 2012, NAT GEOSCI, V5, P892, DOI [10.1038/ngeo1619, 10.1038/NGEO1619]
   STANLEY DJ, 1994, SCIENCE, V265, P228, DOI 10.1126/science.265.5169.228
   Stolper D, 2005, MAR GEOL, V218, P17, DOI 10.1016/j.margeo.2005.02.019
   Taveira-Pinto F, 2011, COAST RES LIBR, V1, P135, DOI 10.1007/978-94-007-0400-8_9
   Teixeira S. B., 2005, IBERIAN COASTAL HOLO, P121
   Thorndycraft VR, 2006, QUATERNARY SCI REV, V25, P223, DOI 10.1016/j.quascirev.2005.07.003
   Trigo RM, 2008, ANN NY ACAD SCI, V1146, P212, DOI 10.1196/annals.1446.014
   Trigo RM, 2000, INT J CLIMATOL, V20, P1559, DOI 10.1002/1097-0088(20001115)20:13<1559::AID-JOC555>3.0.CO;2-5
   Trouet V, 2009, SCIENCE, V324, P78, DOI 10.1126/science.1166349
   Van Heteren S, 1998, SEDIMENTOLOGY, V45, P181
   Vis GJ, 2008, QUATERNARY SCI REV, V27, P1682, DOI 10.1016/j.quascirev.2008.07.003
   Vis GJ, 2010, J QUATERNARY SCI, V25, P1222, DOI 10.1002/jqs.1401
   Vis GJ, 2010, P GEOLOGIST ASSOC, V121, P203, DOI 10.1016/j.pgeola.2009.12.003
   Wintle AG, 2006, RADIAT MEAS, V41, P369, DOI 10.1016/j.radmeas.2005.11.001
NR 98
TC 10
Z9 11
U1 0
U2 4
PU GEOLOGICAL SOC PUBLISHING HOUSE
PI BATH
PA UNIT 7, BRASSMILL ENTERPRISE CTR, BRASSMILL LANE, BATH BA1 3JN, AVON,
   ENGLAND
SN 0305-8719
BN 978-1-86239-374-5
J9 GEOL SOC SPEC PUBL
JI Geol. Soc. Spec. Publ.
PY 2014
VL 388
BP 407
EP 427
DI 10.1144/SP388.6
D2 10.1144/SP388.19
PG 21
WC Geology
WE Book Citation Index – Science (BKCI-S)
SC Geology
GA BB7TQ
UT WOS:000345995500014
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Hörandl, E
   Paun, O
   Johansson, JT
   Lehnebach, C
   Armstrong, T
   Chen, LX
   Lockhart, P
AF Hörandl, E
   Paun, O
   Johansson, JT
   Lehnebach, C
   Armstrong, T
   Chen, LX
   Lockhart, P
TI Phylogenetic relationships and evolutionary traits in <i>Ranunculus</i>
   s.l. (Ranunculaceae) inferred from ITS sequence analysis
SO MOLECULAR PHYLOGENETICS AND EVOLUTION
LA English
DT Article
DE evolution; molecular phylogenetics; Ranunculus; Ranunculaceae; split
   decomposition
ID NUCLEAR RIBOSOMAL DNA; TRANSCRIBED SPACER SEQUENCES; BAYESIAN-INFERENCE;
   TAXA; ASTERACEAE; AURICOMUS; ISOZYME; ORIGIN; HYBRIDIZATION; SYSTEMATICS
AB Ranunculus is a large genus with a worldwide distribution. Phylogenetic analyses of c. 200 species of Ranunculus s.l. based on sequences of the nrITS using maximum parsimony and Bayesian inference yielded high congruence with previous cpDNA restriction site analyses, but strongly contradict previous classifications. A large core clade including Ranunculus subg. Ranunculus, subg. Batrachium, subg. Crymodes p.p., Ceratocephala, Myosurus, and Aphanostemma is separated from R. subg. Ficaria, subg. Pallasiantha, subg. Coptidium, subg. Crymodes p.p., Halerpestes, Peltocalathos, Callianthemoides, and Arcteranthis. Within the core clade, 19 clades can be described with morphological and karyological features. Several sections are not monophyletic. Parallel evolution of morphological characters in adaptation to climatic conditions may be a reason for incongruence of molecular data and morphology-based classifications. In some mountainous regions, groups of closely related species may have originated from adaptive radiation and rapid speciation. Split decomposition analysis indicated complex patterns of relationship and suggested hybridization in the apomictic R. auricomus complex, R. subg. Batrachium, and the white-flowering European alpines. The evolutionary success of the genus might be due to a combination of morphological plasticity and adaptations, hybridization and polyploidy as important factors for regional diversification, and a broad range of reproductive strategies. (c) 2005 Elsevier Inc. All rights reserved.
C1 Univ Vienna, Fac Life Sci, Dept Systemat & Evolutionary Bot, A-1030 Vienna, Austria.
   Stockholm Univ, Inst Bot, S-10691 Stockholm, Sweden.
   Allan Wilson Ctr, Inst Mol BioSci, Palmerston North, New Zealand.
   Landcare Res, Auckland, New Zealand.
   Yan Tai Univ, Sch Pharm, Yantai, Peoples R China.
C3 University of Vienna; Stockholm University; Massey University; Landcare
   Research - New Zealand; Yantai University
RP Univ Vienna, Fac Life Sci, Dept Systemat & Evolutionary Bot, Rennweg 14, A-1030 Vienna, Austria.
EM elvira.hoerandl@univie.ac.at
RI Lockhart, Peter/E-6624-2011; Horandl, Elvira/AAQ-9588-2021; Paun,
   Ovidiu/F-2197-2010
OI Lockhart, Peter/0000-0002-1862-5688; Paun, Ovidiu/0000-0002-8295-4937
CR Aeschimann David, 1996, Candollea, V51, P95
   Alfaro ME, 2003, MOL BIOL EVOL, V20, P255, DOI 10.1093/molbev/msg028
   [Anonymous], 2001, PAUP PHYLOGENETIC AN
   [Anonymous], 1989, ATLAS FLORAE EUROPAE
   [Anonymous], 1995, NATURLICHE PFLANZENF
   [Anonymous], 1993, FLORA EUROPAEA
   Archibald JK, 2003, TAXON, V52, P187, DOI 10.2307/3647388
   ARMSTRONG T, 2004, 6 INT FLOR MAL S 200, P30
   BALDWIN BG, 1995, ANN MO BOT GARD, V82, P247, DOI 10.2307/2399880
   BALTISBERGER M, 1980, Bulletin de la Societe Botanique Suisse, V90, P143
   BALTISBERGER M, 1994, PLANT SYST EVOL, V190, P231, DOI 10.1007/BF00986195
   BALTISBERGER M, 1981, BOT HELV, V91, P61
   Bayer RJ, 1996, AM J BOT, V83, P516, DOI 10.2307/2446220
   BENSON L, 1948, AM MIDL NAT, V40, P1, DOI 10.2307/2421547
   BENSON L, 1940, AM J BOT, V83, P516
   BRIGGS BG, 1962, EVOLUTION, V16, P372, DOI 10.2307/2406286
   BRIGGS BG, 1960, P LINN SOC N S W, V84, P295
   Chase MW, 2003, ANN BOT-LONDON, V92, P107, DOI 10.1093/aob/mcg087
   COLES S M, 1973, Watsonia, V9, P207
   COLES S M, 1971, Watsonia, V8, P237
   COOK C. D. K., 1963, WATSONIA, V5, P294
   Cook CDK., 1966, MITT BOT STAATSSAMML, V6, P47
   DAHLGREN G, 1992, NORD J BOT, V12, P299, DOI 10.1111/j.1756-1051.1992.tb01305.x
   Dahlgren Gertrud, 1996, Acta Universitatis Upsaliensis Symbolae Botanicae Upsalienses, V31, P91
   de Candolle A.P., 1824, Prodromus systematis naturalis regni vegetabilis, sive enumeratio contracta ordinum, generum, specierumque plantarum hucusque cognitarum, juxta methodi naturalis normas digesta
   DIOSDADO JC, 1993, BOT J LINN SOC, V111, P23
   Dobes C., 2000, DOCUMENTED CHROMOSOM
   DOVIDIO R, 1990, CARYOLOGIA, V43, P99, DOI 10.1080/00087114.1990.10796990
   Doyle JJ., 1987, PHYTOCHEM BULLET, V19, P11
   Eichler H., 1958, Bibliotheca Botanica, V124, P1
   Ericsson S, 2001, FLORA NORDICA, V2, P237, DOI 10.2478/prolas-2024-0029
   FARRIS JS, 1989, CLADISTICS, V5, P417, DOI 10.1111/j.1096-0031.1989.tb00573.x
   FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
   Fisher F.J.F., 1965, ALPINE RANUNCULI NZ
   FITCH WM, 1971, SYST ZOOL, V20, P406, DOI 10.2307/2412116
   Flora of North America Editorial Committee, 1997, FLORA N AM N MEXICO, V3
   Forster P, 1997, FLORA, V192, P133
   GOEPFERT D, 1974, BOT NOTISER, V127, P464
   GORNALL R J, 1987, Watsonia, V16, P383
   Guo YP, 2004, TAXON, V53, P657, DOI 10.2307/4135441
   HOOT SB, 1995, PL SYST EVOL S, V9, P214
   Hörandl E, 2004, INT J PLANT SCI, V165, P615, DOI 10.1086/386557
   Hörandl E, 2002, PLANT SYST EVOL, V234, P85, DOI 10.1007/s00606-002-0209-x
   Hörandl E, 1998, FOLIA GEOBOT, V33, P335
   Hörandl E, 2001, PLANT SYST EVOL, V226, P165, DOI 10.1007/s006060170064
   Horandl E., 1998, Botanische Jahrbucher fur Systematik, Pflanzengeschichte und Pflanzengeographie, V120, P1
   Huber W., 1988, VEROFF GEOBOT I ETH, V100, P1, DOI DOI 10.3929/ETHZ-A-000478752
   Huelsenbeck JP, 2002, SYST BIOL, V51, P673, DOI 10.1080/10635150290102366
   Huelsenbeck JP, 2001, BIOINFORMATICS, V17, P754, DOI 10.1093/bioinformatics/17.8.754
   Huson DH, 1998, BIOINFORMATICS, V14, P68, DOI 10.1093/bioinformatics/14.1.68
   JANCHEN E., 1949, DENKSCHR K AKAD WISS WIEN MATH NAT KL, V108, P1
   JOHANSSON JT, 1993, PLANT SYST EVOL, V187, P29, DOI 10.1007/BF00994090
   Johansson JT, 1998, PLANT SYST EVOL, V213, P1, DOI 10.1007/BF00988905
   Johansson JT, 1995, PL SYST EVOL S, V9, P253
   KIM KJ, 1994, PLANT SYST EVOL, V190, P157, DOI 10.1007/BF00986191
   KLUGE AG, 1969, SYST ZOOL, V18, P1, DOI 10.2307/2412407
   LANDOLT E., 1954, BER SCHWEIZ BOT GES, V64, P9
   LANDOLT ELIAS, 1956, BER SCHWEIZ BOT GES, V66, P92
   Lockhart PJ, 2001, ANN MO BOT GARD, V88, P458, DOI 10.2307/3298586
   LONAY H, 1901, ARCH BOT, V8, P1
   Moore D.M., 1983, Flora of Tierra del Fuego
   Morrell PL, 1998, AM J BOT, V85, P1439, DOI 10.2307/2446401
   *NAT HIST MUS LOND, 2003, LINN PLANT NAM DAT
   NILSSON O, 2001, FLORA NORDICA CHENOP, V2, P232
   NOGLER GA, 1984, BOT HELV, V94, P411
   OKADA H, 1984, PLANT SYST EVOL, V148, P89
   OKADA H, 1989, PL SYST EVOL, V143, P89
   OVCZINNIKOV PN, 1933, FLORA USSR, V7, P351
   Parkin J, 1928, ANN BOT-LONDON, V42, P739, DOI 10.1093/oxfordjournals.aob.a090138
   Pickering CM, 1997, NORD J BOT, V17, P613, DOI 10.1111/j.1756-1051.1997.tb00357.x
   Pickering CM, 1997, OPERA BOT, V132, P101
   Posada D, 1998, BIOINFORMATICS, V14, P817, DOI 10.1093/bioinformatics/14.9.817
   Prantl K., 1887, Bot. Jahrb. Syst, V9, P225
   Riveros M., 1991, THESIS U CHILE SANTI
   Ro KE, 1997, MOL PHYLOGENET EVOL, V8, P117, DOI 10.1006/mpev.1997.0413
   Rousi A., 1956, ANN BOT SOC ZOOL BOT, V29, P1
   SANG T, 1995, P NATL ACAD SCI USA, V92, P6813, DOI 10.1073/pnas.92.15.6813
   Santisuk T., 1979, OPERABOT, V48, P1
   Schuettpelz E, 2002, PLANT SYST EVOL, V231, P143, DOI 10.1007/s006060200016
   Seehausen O, 2004, TRENDS ECOL EVOL, V19, P198, DOI 10.1016/j.tree.2004.01.003
   Simmons MP, 2000, SYST BIOL, V49, P369, DOI 10.1093/sysbio/49.2.369
   SKOTTSBERG C, 1928, NATURAL HIST J FER 2, P123
   Soltis DE, 2004, NEW PHYTOL, V161, P173, DOI 10.1046/j.1469-8137.2003.00948.x
   SUN Y, 1994, THEOR APPL GENET, V89, P26, DOI 10.1007/BF00226978
   Tamura M, 1993, Flowering Plants Dicotyledons: Magnoliid, Hamamelid and Caryophyllid Families, V2, P563, DOI [DOI 10.1007/978-3-662-02899-5_67, 10.2471/BLT.15.164384]
   THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
   Trzaski Leszek, 1999, Phytomorphology, V49, P241
   WINKWORTH RC, IN PRESS SYST BIOL
   Wu MJ, 2004, TAXON, V53, P911, DOI 10.2307/4135558
   YOUNG JP, 1995, INT J PLANT SCI, V156, P590, DOI 10.1086/297281
NR 90
TC 125
Z9 144
U1 0
U2 41
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 1055-7903
EI 1095-9513
J9 MOL PHYLOGENET EVOL
JI Mol. Phylogenet. Evol.
PD AUG
PY 2005
VL 36
IS 2
BP 305
EP 327
DI 10.1016/j.ympev.2005.02.009
PG 23
WC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
GA 942EO
UT WOS:000230265900009
PM 15955512
DA 2025-01-10
ER

PT J
AU Lim, YS
   Zoh, HD
   Kim, TH
   Kwon, TK
AF Lim, Young-Shin
   Zoh, Hyunmin Daniel
   Kim, Tae Hyoung
   Kwon, Tae Kyung
TI Analyzing the Cooling Effects of Water Facilities in Urban Park: The
   Case of Sangju Namsan Park, South Korea
SO ATMOSPHERE
LA English
DT Article
DE urban parks; climate adaptation; cooling effects; microclimate; thermal
   comfort
ID THERMAL COMFORT; IMPROVE; CLIMATE; SHANGHAI; CITIES; SPACES; IMPACT
AB This study evaluates the cooling effects of small-scale water features and fog systems in Sangju Namsan Park, South Korea, focusing on their impact on thermal comfort. While previous studies have demonstrated the potential of urban parks in reducing temperatures, studies on small-scale interventions that examine their effects on thermal comfort and analyze microclimate data collected in specific areas are limited. This study collected and analyzed microclimate data using the Universal Thermal Climate Index (UTCI) and physiological equivalent temperature (PET) to assess the effectiveness of a small water path and a cooling fog system. The results indicate that surface temperature reductions reached up to 1.1 degrees C, with the pergola area showing the most significant cooling effect, lowering PET values to an average of 36.2 degrees C. In contrast, the small water path recorded the highest PET values, peaking at nearly 50.2 degrees C, likely due to radiant heat from the surrounding surfaces. While these interventions provided localized cooling, their overall effect on urban temperature reduction remained modest. This study suggests that small-scale water features are effective in enhancing thermal comfort in neighborhood parks but must be integrated into broader urban cooling strategies to maximize their impact.
C1 [Lim, Young-Shin; Kim, Tae Hyoung] Korea Environm Inst, 370 Sicheong Daero, Sejong 30147, South Korea.
   [Zoh, Hyunmin Daniel] Univ Illinois, Coll Urban Planning & Publ Affairs, Chicago, IL 60607 USA.
   [Kwon, Tae Kyung] AIRPLE Co Ltd, Hwaseong 18479, South Korea.
RP Kwon, TK (corresponding author), AIRPLE Co Ltd, Hwaseong 18479, South Korea.
EM yslim@kei.re.kr; dzoh2@uic.edu; thkim@kei.re.kr; jim@airple.net
FU Korea Environment Institute [2024-001-03]; Korea Environment Institute
   (KEI) upon the request of the Korea Ministry of Environment
FX This paper is based on the results of the research work "The supporting
   project for Climate Crisis Vulnerable Groups and Areas" (2024-001-03),
   conducted by the Korea Environment Institute (KEI) upon the request of
   the Korea Ministry of Environment.
CR Ahn R., 2021, J. Korean Inst. Landsc. Archit, V49, P37, DOI [10.9715/KILA.2021.49.6.037, DOI 10.9715/KILA.2021.49.6.037]
   윤민호, 2009, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V37, P46
   Barradas VL, 2022, FORESTS, V13, DOI 10.3390/f13071143
   Bröde P, 2012, INT J BIOMETEOROL, V56, P481, DOI 10.1007/s00484-011-0454-1
   Chang CR, 2007, LANDSCAPE URBAN PLAN, V80, P386, DOI 10.1016/j.landurbplan.2006.09.005
   Choi Hyun-Ah, 2012, Asian Journal of Atmospheric Environment, V6, P127
   Cohen P, 2012, BUILD ENVIRON, V51, P285, DOI 10.1016/j.buildenv.2011.11.020
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Dong J, 2024, SUSTAIN CITIES SOC, V115, DOI 10.1016/j.scs.2024.105827
   Du HY, 2016, ECOL INDIC, V67, P31, DOI 10.1016/j.ecolind.2016.02.040
   Gao SR, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16041406
   Georgi N. J., 2006, Urban Ecosystems, V9, P195, DOI 10.1007/s11252-006-8590-9
   Guo F, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12060720
   Hagen B, 2016, URBAN PLAN, V1, P13, DOI 10.17645/up.v1i3.671
   Huang K, 2013, ATMOS CHEM PHYS, V13, P5927, DOI 10.5194/acp-13-5927-2013
   Hwang Kwang-Il, 2018, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V46, P61, DOI 10.9715/KILA.2018.46.4.061
   Irfeey AMM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410767
   Kim Dae-Wuk, 2010, [Journal of The Urban Design Insitute of Korea, 도시설계], V11, P77
   koo min-ah, 2019, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V47, P67, DOI 10.9715/KILA.2019.47.6.067
   Lai DY, 2019, SCI TOTAL ENVIRON, V661, P337, DOI 10.1016/j.scitotenv.2019.01.062
   Lee A, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100795
   Lee SH, 2009, LANDSC ECOL ENG, V5, P183, DOI 10.1007/s11355-009-0067-6
   Low S., 2005, RETHINKING URBAN PAR
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   Park J, 2020, FORESTS, V11, DOI 10.3390/f11101060
   Park Jong-Hwa, 2016, [Journal of Korea Planning Association, 국토계획], V51, P247
   Peper P.J., 2007, Technical Report, P65
   Rodriguez Laura Cifuentes, 2024, Journal of Urban Ecology, V10, pjuae005, DOI 10.1093/jue/juae005
   Ryu Nam-Hyong, 2014, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V42, P21
   Singkran N, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-10432-x
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Yan H, 2018, SCI TOTAL ENVIRON, V622, P882, DOI 10.1016/j.scitotenv.2017.11.327
   Yang P, 2016, ATMOS OCEAN SCI LETT, V9, P298, DOI 10.1080/16742834.2016.1191316
   Zoh Hyunmin Daniel, 2022, [Journal of the Korean Institute of Landscape Architecture, 한국조경학회지], V50, P30
NR 34
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD DEC
PY 2024
VL 15
IS 12
AR 1456
DI 10.3390/atmos15121456
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA Q4G3J
UT WOS:001384282100001
OA gold
DA 2025-01-10
ER

PT J
AU Soudi, S
   Crepeau, M
   Collier, TC
   Lee, Y
   Cornel, AJ
   Lanzaro, GC
AF Soudi, Shaghayegh
   Crepeau, Marc
   Collier, Travis C.
   Lee, Yoosook
   Cornel, Anthony J.
   Lanzaro, Gregory C.
TI Genomic signatures of local adaptation in recent invasive <i>Aedes
   aegypti</i> populations in California
SO BMC GENOMICS
LA English
DT Article
DE Aedes mosquitoes; Genome scan; Landscape genomics; Selection; Adaptive
   loci
ID HEAT-SHOCK PROTEINS; RAPID EVOLUTION; DIFFERENTIATION; CLIMATE; VECTOR;
   DENGUE; RANGE; ASSOCIATION; TEMPERATURE; EXPRESSION
AB BackgroundRapid adaptation to new environments can facilitate species invasions and range expansions. Understanding the mechanisms of adaptation used by invasive disease vectors in new regions has key implications for mitigating the prevalence and spread of vector-borne disease, although they remain relatively unexplored.ResultsHere, we integrate whole-genome sequencing data from 96 Aedes aegypti mosquitoes collected from various sites in southern and central California with 25 annual topo-climate variables to investigate genome-wide signals of local adaptation among populations. Patterns of population structure, as inferred using principal components and admixture analysis, were consistent with three genetic clusters. Using various landscape genomics approaches, which all remove the confounding effects of shared ancestry on correlations between genetic and environmental variation, we identified 112 genes showing strong signals of local environmental adaptation associated with one or more topo-climate factors. Some of them have known effects in climate adaptation, such as heat-shock proteins, which shows selective sweep and recent positive selection acting on these genomic regions.ConclusionsOur results provide a genome wide perspective on the distribution of adaptive loci and lay the foundation for future work to understand how environmental adaptation in Ae. aegypti impacts the arboviral disease landscape and how such adaptation could help or hinder efforts at population control.
C1 [Soudi, Shaghayegh; Crepeau, Marc; Collier, Travis C.; Cornel, Anthony J.; Lanzaro, Gregory C.] Univ Calif Davis, Dept Pathol Microbiol & Immunol, Vector Genet Lab, Davis, CA 95616 USA.
   [Lee, Yoosook] Univ Florida, Florida Med Entomol Lab, Vero Beach, FL USA.
   [Cornel, Anthony J.] Univ Calif Parlier, Dept Entomol & Nematol, Mosquito Control Res Lab, Parlier, CA USA.
C3 University of California System; University of California Davis; State
   University System of Florida; University of Florida
RP Lanzaro, GC (corresponding author), Univ Calif Davis, Dept Pathol Microbiol & Immunol, Vector Genet Lab, Davis, CA 95616 USA.
EM gclanzaro@ucdavis.edu
FU Pacific Southwest Regional Center of Excellence for Vector-Borne
   Diseases - U.S. Centers for Disease Control and Prevention
   [1U01CK000516]
FX We acknowledge funding support from the Pacific Southwest Regional
   Center of Excellence for Vector-Borne Diseases funded by the U.S.
   Centers for Disease Control and Prevention (Cooperative Agreement
   1U01CK000516)
CR Alexa A, 2006, BIOINFORMATICS, V22, P1600, DOI 10.1093/bioinformatics/btl140
   Amos B, 2022, NUCLEIC ACIDS RES, V50, pD898, DOI 10.1093/nar/gkab929
   Ayala D, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00129
   Becker RA, 2017, ENHANCEMENTS
   Bennett KL, 2021, EVOL APPL, V14, P1301, DOI 10.1111/eva.13199
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Bradshaw CJA, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12986
   Brady OJ, 2014, PARASITE VECTOR, V7, DOI 10.1186/1756-3305-7-338
   Brady OJ, 2013, PARASITE VECTOR, V6, DOI 10.1186/1756-3305-6-351
   Brown JE, 2014, EVOLUTION, V68, P514, DOI 10.1111/evo.12281
   Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
   Chown SL, 2015, EVOL APPL, V8, P23, DOI 10.1111/eva.12234
   Colautti RI, 2015, MOL ECOL, V24, P1999, DOI 10.1111/mec.13162
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Cornel Anthony J, 2016, F1000Res, V5, P194, DOI 10.12688/f1000research.8107.3
   Crawford Jacob E., 2012, Frontiers in Genetics, V3, P66, DOI 10.3389/fgene.2012.00066
   de Villemereuil P, 2014, MOL ECOL, V23, P2006, DOI 10.1111/mec.12705
   Devlin B, 1999, BIOMETRICS, V55, P997, DOI 10.1111/j.0006-341X.1999.00997.x
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Garrison E, 2012, Arxiv, DOI arXiv:1207.3907
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Geng YP, 2007, BIOL INVASIONS, V9, P245, DOI 10.1007/s10530-006-9029-1
   Gloria-Soria A, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0003029
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   Jeffreys H., 1961, Oxford Classics Series, V3rd
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kilpatrick AM, 2012, LANCET, V380, P1946, DOI 10.1016/S0140-6736(12)61151-9
   Korneliussen TS, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0356-4
   Kraemer MUG, 2015, ELIFE, V4, DOI 10.7554/eLife.08347
   Lachmuth S, 2011, NEW PHYTOL, V192, P529, DOI 10.1111/j.1469-8137.2011.03808.x
   Lakhotia SC, 2002, CELL STRESS CHAPERON, V7, P347, DOI 10.1379/1466-1268(2002)007<0347:ROHSPH>2.0.CO;2
   Lee Y, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5586-4
   Leisnham PT, 2010, OECOLOGIA, V164, P221, DOI 10.1007/s00442-010-1624-2
   Luu K, 2017, MOL ECOL RESOUR, V17, P67, DOI 10.1111/1755-0998.12592
   Marbuah G., 2014, Diversity, V6, P500
   Matthews BJ, 2018, NATURE, V563, P501, DOI 10.1038/s41586-018-0692-z
   McBride CS, 2014, NATURE, V515, P222, DOI 10.1038/nature13964
   Moran EV, 2014, ECOL LETT, V17, P637, DOI 10.1111/ele.12262
   Musso D, 2018, LANCET INFECT DIS, V18, pE355, DOI 10.1016/S1473-3099(18)30269-X
   Nielsen R, 2005, ANNU REV GENET, V39, P197, DOI 10.1146/annurev.genet.39.073003.112420
   Nieman Catelyn C, 2015, F1000Res, V4, P1314, DOI 10.12688/f1000research.7413.1
   Okonechnikov K, 2016, BIOINFORMATICS, V32, P292, DOI 10.1093/bioinformatics/btv566
   Paini DR, 2016, P NATL ACAD SCI USA, V113, P7575, DOI 10.1073/pnas.1602205113
   Peter BM, 2016, GENETICS, V202, P1485, DOI 10.1534/genetics.115.183913
   Pfeifer B, 2014, MOL BIOL EVOL, V31, P1929, DOI 10.1093/molbev/msu136
   Pless E, 2017, PLOS NEGLECT TROP D, V11, DOI 10.1371/journal.pntd.0005718
   Price AL, 2006, NAT GENET, V38, P904, DOI 10.1038/ng1847
   Pysek P, 2010, ANNU REV ENV RESOUR, V35, P25, DOI 10.1146/annurev-environ-033009-095548
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   RStudio Team, 2015, RStudio: Integrated development for R Computer software, DOI DOI 10.1007/978-81-322-2340-5
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Sivan A, 2017, ACTA TROP, V167, P121, DOI 10.1016/j.actatropica.2016.12.017
   Strasburg JL, 2012, PHILOS T R SOC B, V367, P364, DOI 10.1098/rstb.2011.0199
   TAJIMA F, 1989, GENETICS, V123, P585
   Tun-Lin W, 2000, MED VET ENTOMOL, V14, P31, DOI 10.1046/j.1365-2915.2000.00207.x
   Turner KG, 2014, NEW PHYTOL, V202, P309, DOI 10.1111/nph.12634
   Valdez LD, 2018, ECOL MODEL, V385, P96, DOI 10.1016/j.ecolmodel.2018.07.003
   van Boheemen LA, 2019, NEW PHYTOL, V222, P614, DOI 10.1111/nph.15564
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Weaver SC, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0002921
   Wekesa JW, 2015, WING BEATS, V26, P33
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yeaman S, 2013, P NATL ACAD SCI USA, V110, pE1743, DOI 10.1073/pnas.1219381110
   Zhang YY, 2010, MOL ECOL, V19, P1774, DOI 10.1111/j.1365-294X.2010.04609.x
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
NR 70
TC 3
Z9 3
U1 4
U2 17
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1471-2164
J9 BMC GENOMICS
JI BMC Genomics
PD JUN 10
PY 2023
VL 24
IS 1
AR 311
DI 10.1186/s12864-023-09402-5
PG 13
WC Biotechnology & Applied Microbiology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Genetics & Heredity
GA I4PV0
UT WOS:001002624600002
PM 37301847
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Ahmed, H
   Tamminen, LM
   Emanuelson, U
AF Ahmed, Haseeb
   Tamminen, Lena-Mari
   Emanuelson, Ulf
TI Temperature, productivity, and heat tolerance: Evidence from Swedish
   dairy production
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Heat tolerance; Milk productivity; Climate adaptation;
   Heat stress
ID CLIMATE-CHANGE; ECONOMIC-IMPACTS; WEATHER; HOLSTEIN; DAMAGES; MODELS;
   YIELD
AB This study aims to identify the effects of temperature on dairy production and the heat tolerance of different dairy breeds under heat stress. Using farm and animal-level data from 1435 dairy farms throughout Sweden for 4 years (from 2016 to 2019), we find that a 7-day average of daily maximum temperatures above similar to 20 degrees C is associated with sharp declines in milk production. We then estimate the farm-level loss in contribution margin for a typical Swedish dairy farm for the year 2018, which consisted of long-lasting heatwaves and extended summer temperatures. We also estimate that, on average, there are no differences in the impact of heatwaves on milk losses for different dairy breeds but that there exists a trade-off between genetic milk production potential and heat tolerance of a dairy cow. The magnitude of this productivity-tolerance trade-off may differ across breeds, suggesting that the high-production potential animals of certain breeds may be less sensitive to heat stress. These findings have important implications in terms of adapting to heat stress, investing in mitigation measures, and development of future breeds that can ameliorate the current trade-off between production capacity of a cow and its heat tolerance.
C1 [Ahmed, Haseeb; Tamminen, Lena-Mari; Emanuelson, Ulf] Sveriges Lantbruksuniv SLU, Dept Clin Sci, Uppsala, Sweden.
   [Ahmed, Haseeb] Food & Agr Org United Nations FAO, Inclus Rural Transformat & Gender Equal Div ESP, Rome, Italy.
C3 Swedish University of Agricultural Sciences; Food & Agriculture
   Organization of the United Nations (FAO)
RP Ahmed, H (corresponding author), Sveriges Lantbruksuniv SLU, Dept Clin Sci, Uppsala, Sweden.; Ahmed, H (corresponding author), Food & Agr Org United Nations FAO, Inclus Rural Transformat & Gender Equal Div ESP, Rome, Italy.
EM Haseeb.ahmed@slu.se
RI Emanuelson, Ulf/AAC-7809-2020
OI Tamminen, Lena-Mari/0000-0001-6781-4533; Ahmed,
   Haseeb/0000-0001-8645-2718; Emanuelson, Ulf/0000-0001-7889-417X
FU Swedish University of Agricultural Sciences - FORMAS [2018-02815];
   Formas [2018-02815] Funding Source: Formas
FX Open access funding provided by Swedish University of Agricultural
   Sciences. This research was funded by FORMAS grant no. 2018-02815.
CR Acemoglu D, 2004, J POLIT ECON, V112, P497, DOI 10.1086/383100
   Acosta A, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105546
   Anglart D, 2020, J DAIRY SCI, V103, P8433, DOI 10.3168/jds.2020-18320
   [Anonymous], 1990, Generalized additive models
   Auffhammer M, 2018, J ECON PERSPECT, V32, P33, DOI 10.1257/jep.32.4.33
   Barrot JN, 2016, Q J ECON, V131, P1543, DOI 10.1093/qje/qjw018
   Benni S, 2020, ANIMAL, V14, P418, DOI 10.1017/S1751731119001721
   Blanco-Penedo I, 2020, CLIMATIC CHANGE, V162, P1269, DOI 10.1007/s10584-020-02818-y
   Bohlouli M, 2021, J DAIRY SCI, V104, P6847, DOI 10.3168/jds.2020-19411
   Bozzola M, 2018, EUR REV AGRIC ECON, V45, P57, DOI 10.1093/erae/jbx023
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Chen S, 2021, J DEV ECON, V148, DOI 10.1016/j.jdeveco.2020.102557
   CLOGG CC, 1995, AM J SOCIOL, V100, P1261, DOI 10.1086/230638
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Dawson TP, 2016, CLIMATIC CHANGE, V134, P429, DOI 10.1007/s10584-014-1277-y
   De Caceres M, 2018, USERS GUIDE METEOLAN
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Dunn RJH, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064006
   EDF, 2014, SUCC AR EUR DAIR FAR
   Ferris CP, 2018, J DAIRY SCI, V101, P7258, DOI 10.3168/jds.2017-14107
   Finger R, 2018, EUR REV AGRIC ECON, V45, P641, DOI 10.1093/erae/jby012
   Fisher AC, 2012, AM ECON REV, V102, P3749, DOI 10.1257/aer.102.7.3749
   Gauly M, 2020, ANIMAL, V14, pS196, DOI 10.1017/S1751731119003239
   Hill DL, 2015, ANIMAL, V9, P138, DOI 10.1017/S1751731114002456
   Hut PR, 2022, J DAIRY SCI
   Kolstad CD, 2020, REV ENV ECON POLICY, V14, P1, DOI 10.1093/reep/rez024
   Mansson A, 2017, MJOLKAVKASTNINGENS B
   Megersa B, 2014, HUM ECOL, V42, P509, DOI 10.1007/s10745-014-9668-2
   Njuki E., 2020, EUR REV AGRIC ECON, V47, P1276, DOI [DOI 10.1093/ERAE/JBAA004, DOI 10.1093/erae/jbaa004, 10.1093/erae/jbz046]
   Plastina A, 2021, AGR ECON-BLACKWELL, V52, P215, DOI 10.1111/agec.12615
   Poisky L, 2017, J DAIRY SCI, V100, P8645, DOI 10.3168/jds.2017-12651
   Qi L, 2015, J DAIRY SCI, V98, P8664, DOI 10.3168/jds.2015-9536
   Ramsay TO, 2003, EPIDEMIOLOGY, V14, P18, DOI 10.1097/00001648-200301000-00009
   Roberts MJ, 2013, AM J AGR ECON, V95, P236, DOI 10.1093/ajae/aas047
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Thornton PE, 1997, J HYDROL, V190, P214, DOI 10.1016/S0022-1694(96)03128-9
   Wilcke RAI, 2020, EARTH SYST DYNAM, V11, P1107, DOI 10.5194/esd-11-1107-2020
   Zimbelman RB, 2010, J DAIRY SCI, V93, P2387, DOI 10.3168/jds.2009-2557
NR 39
TC 5
Z9 5
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 NOV
PY 2022
VL 175
IS 1-2
AR 10
DI 10.1007/s10584-022-03461-5
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 6J6WJ
UT WOS:000886962400002
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Roshan, G
   Farrokhzad, M
   Attia, S
AF Roshan, Gholamreza
   Farrokhzad, Mohammad
   Attia, Shady
TI Climatic clustering analysis for novel atlas mapping and bioclimatic
   design recommendations
SO INDOOR AND BUILT ENVIRONMENT
LA English
DT Article
DE Homogeneous climatic zones; Bioclimatic design strategies;
   Bioclimatology diversity; Climatic chart; Heating and cooling; Iran
ID RESIDENTIAL BUILDINGS; ENERGY; IMPACT; ZONES; ARCHITECTURE; PERFORMANCE;
   ADAPTATION; STRATEGIES; DEMAND; IRAN
AB Defining and determining climatic zones accurately is crucial to inform the decision making of building designers and planners during early design phases of urban development. Characterizing the climatic zones allows estimation of energy requirements in buildings and develop climate adapted energy polices. Climatic zones can be defined by using the statistical cluster analysis. Data from weather stations can be used after standardization with zero mean and unit variance, to confirm that all variables are weighted equally in the cluster analysis. In this paper, a novel atlas for 19 climatic zones is presented that represent a variety of bioclimatic design strategies and recommendations, for passive design, based on a clustering analysis in Iran. The clustering analysis is based on the statistical analysis of daily temperature and relative humidity from 1995 to 2014. The results visualize 19 different climate zones for Iran and indicate the dominance of passive design strategies. As a result, Iran was divided into eight climatic clusters. The results showed that each of the studied clusters require specific strategies in providing indoor comfort. The outputs of this study shed the light on the importance of up-to-date climate characterization and the effectiveness of climate mapping and recommendations to inform decision makers.
C1 [Roshan, Gholamreza] Golestan Univ, Dept Geog, Gorgan, Golestan, Iran.
   [Farrokhzad, Mohammad] Golestan Univ, Fac Engn, Dept Architecture, Gorgan, Golestan, Iran.
   [Attia, Shady] Univ Liege, Fac Appl Sci, Dept UEE, Sustainable Bldg Design Lab, Liege, Belgium.
C3 Golestan University; Golestan University; University of Liege
RP Farrokhzad, M (corresponding author), Golestan Univ, Fac Engn, Dept Architecture, Gorgan, Golestan, Iran.
EM m.farrokhzad@gu.ac.ir
RI Attia, Shady/M-4942-2013; Farrokhzad, Mohammad/ISV-0978-2023
FU Council of Iran National Science Foundation
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The work
   was partially supported by the Council of Iran National Science
   Foundation under grant No. 96005935. The authors would like to thank the
   Council of Iran National Science Foundation for their support in the
   project.
CR Abels DJ, 1998, CLIN DERMATOL, V16, P695, DOI 10.1016/S0738-081X(98)00059-5
   [Anonymous], 2013, ASHRAE HDB FUND 2013
   ATTIA S, 2009, 8 INT C SUST EN TECH
   ATTIA S, 2011, PLEA 2011 ARCHITECTU
   Attia S, 2016, SUSTAIN CITIES SOC, V26, P393, DOI 10.1016/j.scs.2016.04.017
   Attia S, 2015, ENERG BUILDINGS, V102, P117, DOI 10.1016/j.enbuild.2015.05.017
   Attia Shady., 2012, A tool for design decision making: Zero energy residential buildings in hot humind climates, Architecture et climat
   Briggs R.S., 2003, ASHRAE T, V109, P122
   BUREK SAM, 1987, APPL ENERG, V26, P245, DOI 10.1016/S0306-2619(87)80001-6
   Chwieduk D, 2003, APPL ENERG, V76, P211, DOI 10.1016/S0306-2619(03)00059-X
   *CIBSE, 2006, CIBSE KS06 COMF
   Daneshvar MRM, 2013, CENT EUR J GEOSCI, V5, P53, DOI 10.2478/s13533-012-0118-7
   DeKay Mark., 2014, SUN WIND LIGHT ARCHI, VThird
   ESMAILI R, 2014, EUR J EXP BIOL, V4, P342
   Estrada F, 2009, ATMOSFERA, V22, P175
   Everitt B.S., 2001, Clustering analysis
   FOVELL RG, 1993, J CLIMATE, V6, P2103, DOI 10.1175/1520-0442(1993)006<2103:CZOTCU>2.0.CO;2
   Ghalhari GF, 2018, THEOR APPL CLIMATOL, V131, P865, DOI 10.1007/s00704-016-2015-3
   Givoni B., 1994, PASSIVE LOW ENERGY C
   Givoni B., 1969, Man, climate and architecture
   Givoni Baruch., 1998, CLIMATE CONSIDERATIO
   Guillén-Lambea S, 2017, APPL ENERG, V202, P471, DOI 10.1016/j.apenergy.2017.05.163
   He S, 2019, INDOOR BUILT ENVIRON, V28, P1190, DOI 10.1177/1420326X18796545
   Huang KT, 2016, APPL ENERG, V184, P1230, DOI 10.1016/j.apenergy.2015.11.008
   Hussein H, 2015, PROCD SOC BEHV, V168, P280, DOI 10.1016/j.sbspro.2014.10.233
   IRIMO, 2015, IR MET DAT
   JARDIN N, 1972, MATH TAXONOMY
   KHODABAKHSH P, 2016, BUILDING SECTOR IRAN
   Koenigsberger O.H., 1975, MANUAL TROPICAL HOUS
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Krüger EL, 2010, APPL ENERG, V87, P661, DOI 10.1016/j.apenergy.2009.06.038
   Llovera J, 2011, APPL ENERG, V88, P1343, DOI 10.1016/j.apenergy.2010.10.015
   Luo XL, 2019, INDOOR BUILT ENVIRON, V28, P1157, DOI 10.1177/1420326X19867187
   Manzano-Agugliaro F, 2015, RENEW SUST ENERG REV, V49, P736, DOI 10.1016/j.rser.2015.04.095
   Masoudian S.A., 2014, J GEOGR REG DEV RES, V23, P18
   Masoudian S.A., 2014, SCI RES Q GEOGR DATA, V23, P33
   Mavromatidis LE, 2012, APPL ENERG, V92, P480, DOI 10.1016/j.apenergy.2011.10.007
   Milne M., 1979, Energy Conservation Through Building Design
   Morillón-Gálvez D, 2004, SOL ENERGY, V76, P781, DOI 10.1016/j.solener.2003.11.008
   Nguyen AT, 2011, BUILD ENVIRON, V46, P2088, DOI 10.1016/j.buildenv.2011.04.019
   Olgyay V., 1963, DESIGN CLIMATE
   OLGYAY V., 1973, DESIGN CLIMATE BIOCL
   Oliver J.E., 2008, ENCY WORLD CLIMATOLO
   Raziei T, 2018, THEOR APPL CLIMATOL, V131, P1429, DOI 10.1007/s00704-017-2065-1
   Roshan GR, 2017, BUILD ENVIRON, V121, P168, DOI 10.1016/j.buildenv.2017.05.023
   Roshan GR, 2017, RENEW ENERG, V101, P156, DOI 10.1016/j.renene.2016.08.053
   Roshan GR, 2012, ENERG POLICY, V49, P731, DOI 10.1016/j.enpol.2012.07.020
   Roshan G, 2019, BUILD ENVIRON, V155, P283, DOI 10.1016/j.buildenv.2019.03.053
   Roshan G, 2018, INT J BIOMETEOROL, V62, P525, DOI 10.1007/s00484-017-1462-6
   Roshan G, 2018, THEOR APPL CLIMATOL, V131, P19, DOI 10.1007/s00704-016-1950-3
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Santamouris M., 2013, Energy and climate in the urban built environment, DOI [10.4324/9781315073774, DOI 10.4324/9781315073774]
   Singh MK, 2009, BUILD ENVIRON, V44, P878, DOI 10.1016/j.buildenv.2008.06.008
   SODHA MS, 1981, APPL ENERG, V8, P175, DOI 10.1016/0306-2619(81)90016-7
   Unal Y, 2003, INT J CLIMATOL, V23, P1045, DOI 10.1002/joc.910
   Visitsak S., 2007, EVALUATION BIOCLIMAT
   Watson D., 1983, CLIMATIC DESIGN ENER
   Xu R., 2009, Clustering. Hoboken
   Zain-Ahmed A, 1998, RENEW ENERG, V15, P437, DOI 10.1016/S0960-1481(98)00200-6
   Zhang TT, 2016, APPL ENERG, V165, P707, DOI 10.1016/j.apenergy.2015.12.108
   Zhang YW, 2019, INDOOR BUILT ENVIRON, V28, P1171, DOI 10.1177/1420326X18804103
NR 61
TC 15
Z9 15
U1 0
U2 6
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1420-326X
EI 1423-0070
J9 INDOOR BUILT ENVIRON
JI Indoor Built Environ.
PD MAR
PY 2021
VL 30
IS 3
BP 313
EP 333
AR 1420326X19888572
DI 10.1177/1420326X19888572
EA DEC 2019
PG 21
WC Construction & Building Technology; Engineering, Environmental; Public,
   Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering; Public, Environmental &
   Occupational Health
GA RU6DX
UT WOS:000501556500001
OA Green Published
DA 2025-01-10
ER

PT J
AU Mallen, E
   Stone, B
   Lanza, K
AF Mallen, Evan
   Stone, Brian
   Lanza, Kevin
TI A methodological assessment of extreme heat mortality modeling and heat
   vulnerability mapping in Dallas, Texas
SO URBAN CLIMATE
LA English
DT Article
DE Urban heat island; Heat vulnerability indices; Urban climatology;
   Extreme heat; Climate adaptation
ID CLIMATE-CHANGE; TEMPERATURE; PROGRESS; CITIES; HEALTH
AB Extreme temperatures pose a significant risk to human health and are projected to worsen in a warming climate with increased intensity, duration, and frequency of heat waves in the coming decades. To mitigate heat exposure and protect sensitive populations, urban planners are increasingly using heat vulnerability indices (HVIs) to identify high priority areas for intervention and investment. Relative HVI scores help identify which areas are at greatest risk of heat-related morbidity and mortality. Public health researchers are also increasingly using observation-driven exposure-response functions to estimate heat-related mortality. In this paper, we estimate the number and spatial distribution of heat-related deaths in Dallas in 2011 employing an exposure-response function and then assess the performance of different HVI techniques in assigning vulnerability to zones of high heat mortally. Our approach estimates that 112 Dallas residents died from heat-related causes in the summer of 2011 and finds wide variability in the performance of different HVI techniques in assessing heat vulnerability by district. The HVI is found to retain more useful information mapped as separate components of vulnerability than as a single composite score. While the exposure-response function is preferred, the methods can be used in conjunction to assess appropriate heat management strategies.
C1 [Mallen, Evan; Stone, Brian; Lanza, Kevin] Georgia Inst Technol, Sch City & Reg Planning, 245 Fourth St NW, Atlanta, GA 30332 USA.
C3 University System of Georgia; Georgia Institute of Technology
RP Mallen, E (corresponding author), Georgia Inst Technol, Sch City & Reg Planning, 245 Fourth St NW, Atlanta, GA 30332 USA.
EM esmallen@gatech.edu; stone@gatech.edu; lanza.kevin@gatech.edu
RI Lanza, Kevin/ABD-8011-2020
OI Lanza, Kevin/0000-0002-5259-6745
FU Texas Trees Foundation, Dallas, TX, United States of America
FX This work was supported in part by the Texas Trees Foundation, Dallas,
   TX, United States of America.
CR American Planning Association, 2011, POL GUID CLIM CHANG
   [Anonymous], 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment
   Bao JZ, 2015, INT J ENV RES PUB HE, V12, P7220, DOI 10.3390/ijerph120707220
   Berko Jeffrey, 2014, Natl Health Stat Report, P1
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Boeckmann M, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-1112
   Bouchama A, 2002, NEW ENGL J MED, V346, P1978, DOI 10.1056/NEJMra011089
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   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
   Davis RE, 2003, ENVIRON HEALTH PERSP, V111, P1712, DOI 10.1289/ehp.6336
   Diffenbaugh NS, 2011, CLIMATIC CHANGE, V107, P615, DOI 10.1007/s10584-011-0112-y
   Dousset B, 2011, INT J CLIMATOL, V31, P313, DOI 10.1002/joc.2222
   Gamble J., 2018, Mapping the Vulnerability of Human Health to Extreme Heat in the US
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Harlan SL, 2013, ENVIRON HEALTH PERSP, V121, P197, DOI 10.1289/ehp.1104625
   Ho HC, 2016, SCI TOTAL ENVIRON, V544, P929, DOI 10.1016/j.scitotenv.2015.12.021
   Hondula DM, 2014, INT J BIOMETEOROL, V58, P109, DOI 10.1007/s00484-012-0619-6
   Kalkstein LS, 2011, NAT HAZARDS, V56, P113, DOI 10.1007/s11069-010-9552-3
   KALKSTEIN LS, 1989, ANN ASSOC AM GEOGR, V79, P44, DOI 10.1111/j.1467-8306.1989.tb00249.x
   Knowlton K, 2007, AM J PUBLIC HEALTH, V97, P2028, DOI 10.2105/AJPH.2006.102947
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Manangan A P., 2015, Assessing Health Vulnerability to Climate Change
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Sheridan SC, 2007, INT J BIOMETEOROL, V52, P3, DOI 10.1007/s00484-006-0052-9
   Stone B, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100852
   Toloo G, 2013, ENVIRON HEALTH-GLOB, V12, DOI 10.1186/1476-069X-12-27
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
   Weng QH, 2011, IEEE T GEOSCI REMOTE, V49, P4080, DOI 10.1109/TGRS.2011.2128874
   Winkler JA, 2011, GEOGR COMPASS, V5, P301, DOI 10.1111/j.1749-8198.2011.00426.x
   Wolf T, 2015, INT J ENV RES PUB HE, V12, P13321, DOI 10.3390/ijerph121013321
NR 36
TC 65
Z9 67
U1 7
U2 81
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD DEC
PY 2019
VL 30
AR 100528
DI 10.1016/j.uclim.2019.100528
PG 11
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 JK1WA
UT WOS:000494636600001
DA 2025-01-10
ER

PT J
AU de Queiroz, AR
   Mulcahy, D
   Sankarasubramanian, A
   Deane, JP
   Mahinthakumar, G
   Lu, N
   DeCarolis, JF
AF de Queiroz, A. R.
   Mulcahy, D.
   Sankarasubramanian, A.
   Deane, J. P.
   Mahinthakumar, G.
   Lu, N.
   DeCarolis, J. F.
TI Repurposing an energy system optimization model for seasonal power
   generation planning
SO ENERGY
LA English
DT Article
DE Power generation planning; Unit commitment; Energy system optimization;
   Seasonal demand forecasts; Mathematical programming
ID STOCHASTIC UNIT COMMITMENT; CLIMATE FORECASTS; PUMPED-STORAGE; DISPATCH;
   CASCADE
AB Seasonal climate variations affect electricity demand, which in turn affects month-to-month electricity planning and operations. Electricity system planning at the monthly timescale can be improved by adapting climate forecasts to estimate electricity demand and utilizing energy models to estimate monthly electricity generation and associated operational costs. The objective of this paper is to develop and test a computationally efficient model that can support seasonal planning while preserving key aspects of system operation over hourly and daily timeframes. To do so, an energy system optimization model is repurposed for seasonal planning using features drawn from a unit commitment model. Different scenarios utilizing a well-known test system are used to evaluate the errors associated with both the repurposed energy system model and an imperfect load forecast. The results show that the energy system optimization model using an imperfect load forecast produces differences in monthly cost and generation levels that are less than 2% compared with a unit commitment model using a perfect load forecast The enhanced energy system optimization model can be solved approximately 100 times faster than the unit commitment model, making it a suitable tool for future work aimed at evaluating seasonal electricity generation and demand under uncertainty. (C) 2019 Elsevier Ltd. All rights reserved.
C1 [de Queiroz, A. R.] NC Cent Univ, Sch Business, Dept Decis Sci, 1801 Fayetteville Rd, Durham, NC 27707 USA.
   [de Queiroz, A. R.; Sankarasubramanian, A.; Mahinthakumar, G.; DeCarolis, J. F.] NC State Univ, Dept Civil Construct & Environm Engn, 2501 Stinson Dr,Box 7908, Raleigh, NC 27695 USA.
   [Mulcahy, D.; Lu, N.] NC State Univ, Dept Elect & Comp Engn, 890 Oval Dr, Raleigh, NC 27606 USA.
   [Deane, J. P.] Univ Coll Cork, Energy Policy & Modelling Grp, Coll Rd, Cork T12 K8AF, Ireland.
C3 University of North Carolina; North Carolina Central University; North
   Carolina State University; North Carolina State University; University
   College Cork
RP DeCarolis, JF (corresponding author), NC State Univ, Dept Civil Construct & Environm Engn, 2501 Stinson Dr,Box 7908, Raleigh, NC 27695 USA.
EM adequeiroz@nccu.edu; djmulcah@ncsu.edu; sankar_arumugam@ncsu.edu;
   Jp.Deane@ucc.ie; gmkumar@ncsu.edu; nlu2@ncsu.edu; jdecarolis@ncsu.edu
RI DeCarolis, Joseph/F-4869-2013; Arumugam, Sankarasubramanian/A-1929-2019;
   Lu, Ning/U-1642-2018
OI Arumugam, Sankarasubramanian/0000-0002-7668-1311; De Queiroz, Anderson
   Rodrigo/0000-0002-7770-3439; Lu, Ning/0000-0003-0125-0653;
   Mahinthakumar, Gnanamanikam/0000-0002-9852-1888
FU National Science Foundation [CyberSEES-1442909]; CREDENCE Project
   (Collaborative Research of Decentralisation, Electrification,
   Communications and Economics), a US-Ireland Research and Development
   Partnership Program - National Science Foundation [0812121]; Science
   Foundation Ireland [16/US-C2C/3290]; Department for the Economy Northern
   Ireland [USI 110]; Science Foundation Ireland (SFI) [16/US-C2C/3290]
   Funding Source: Science Foundation Ireland (SFI)
FX This material is based upon work supported by the National Science
   Foundation under Grant No. CyberSEES-1442909 and the CREDENCE Project
   (Collaborative Research of Decentralisation, Electrification,
   Communications and Economics), a US-Ireland Research and Development
   Partnership Program (centre to centre), funded by The National Science
   Foundation (0812121), Science Foundation Ireland (16/US-C2C/3290), and
   the Department for the Economy Northern Ireland (USI 110).
CR Al-Agtash S, 2001, IEEE T POWER SYST, V16, P750, DOI 10.1109/59.962422
   [Anonymous], 2014, NREL/TP-6A20-60969
   [Anonymous], 2004, ENERGY TECHNOLOGY SY
   Apadula F, 2012, APPL ENERG, V98, P346, DOI 10.1016/j.apenergy.2012.03.053
   BALDICK R, 1995, IEEE T POWER SYST, V10, P465, DOI 10.1109/59.373972
   BARD JF, 1988, OPER RES, V36, P756, DOI 10.1287/opre.36.5.756
   CHANGNON SA, 1995, B AM METEOROL SOC, V76, P711, DOI 10.1175/1520-0477(1995)076<0711:UAAOCF>2.0.CO;2
   Changnon SA, 1999, B AM METEOROL SOC, V80, P821, DOI 10.1175/1520-0477(1999)080<0821:REUOCD>2.0.CO;2
   Collins S, 2017, RENEW SUST ENERG REV, V76, P839, DOI 10.1016/j.rser.2017.03.090
   de Queiroz AR, 2019, RENEW ENERG, V133, P873, DOI 10.1016/j.renene.2018.10.050
   de Queiroz AR, 2016, RENEW SUST ENERG REV, V62, P382, DOI 10.1016/j.rser.2016.04.065
   Deane JP, 2013, IEEE T POWER SYST, V28, P2147, DOI 10.1109/TPWRS.2012.2236111
   Deane JP, 2012, ENERGY, V42, P303, DOI 10.1016/j.energy.2012.03.052
   Diniz A. L., 2010, IEEE PES GEN M
   FISHBONE LG, 1981, INT J ENERG RES, V5, P353, DOI 10.1002/er.4440050406
   Ghofrani M, 2013, IEEE T SUSTAIN ENERG, V4, P434, DOI 10.1109/TSTE.2012.2227343
   Grigg C, 1999, IEEE T POWER SYST, V14, P1010, DOI 10.1109/59.780914
   Guan X, 2003, IEEE POW ENG SOC GEN
   HOBBS BF, 1995, EUR J OPER RES, V83, P1, DOI 10.1016/0377-2217(94)00190-N
   Hong T, 2016, INT J FORECASTING, V32, P914, DOI 10.1016/j.ijforecast.2015.11.011
   Howells M, 2011, ENERG POLICY, V39, P5850, DOI 10.1016/j.enpol.2011.06.033
   Hunt JD, 2014, ENERGY, V78, P513, DOI 10.1016/j.energy.2014.10.038
   Hunter K, 2013, ENERG ECON, V40, P339, DOI 10.1016/j.eneco.2013.07.014
   Jiang YB, 2017, APPL ENERG, V190, P1126, DOI 10.1016/j.apenergy.2017.01.030
   Jiang Z, 2019, WATER RESOUR MANAG, P1
   Jiang ZQ, 2018, ENERGY, V158, P693, DOI 10.1016/j.energy.2018.06.083
   Kannan R, 2013, ENVIRON MODEL ASSESS, V18, P325, DOI 10.1007/s10666-012-9346-y
   KERR RH, 1966, IEEE T POWER AP SYST, VPA85, P417, DOI 10.1109/TPAS.1966.291678
   Kia M, 2017, ENERGY, V120, P241, DOI 10.1016/j.energy.2016.11.079
   Koltsaklis NE, 2015, APPL ENERG, V158, P310, DOI 10.1016/j.apenergy.2015.08.054
   Li SH, 2008, J CLIMATE, V21, P2169, DOI 10.1175/2007JCLI1660.1
   Loulou R, 2008, COMPUT MANAG SCI, V5, P7, DOI 10.1007/s10287-007-0046-z
   Mazrooei A, 2015, J GEOPHYS RES-ATMOS, V120, DOI 10.1002/2015JD023687
   Oludhe C, 2013, J APPL METEOROL CLIM, V52, P2460, DOI 10.1175/JAMC-D-12-0300.1
   Oree V, 2017, RENEW SUST ENERG REV, V69, P790, DOI 10.1016/j.rser.2016.11.120
   Padhy NP, 2004, IEEE T POWER SYST, V19, P1196, DOI 10.1109/TPWRS.2003.821611
   Pandzic H, 2016, UNIT COMMITMENT UNCE
   Pandzic H, 2016, IEEE T POWER SYST, V31, P970, DOI 10.1109/TPWRS.2015.2434848
   PEREIRA MVF, 1991, MATH PROGRAM, V52, P359, DOI 10.1007/BF01582895
   Pérez-Arriaga IJ, 2012, ECON ENERGY ENV POL, V1, P3, DOI 10.5547/2160-5890.1.2.1
   Prairie J, 2007, WATER RESOUR RES, V43, DOI 10.1029/2005WR004721
   Sankarasubramanian A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007821
   SHEBLE GB, 1994, IEEE T POWER SYST, V9, P128, DOI 10.1109/59.317549
   Silva SR, 2014, P IEEE POW EN SOC GE
   Sinha T, 2013, HYDROL EARTH SYST SC, V17, P721, DOI 10.5194/hess-17-721-2013
   Takriti S, 1996, IEEE T POWER SYST, V11, P1497, DOI 10.1109/59.535691
   Uçkun C, 2016, IEEE T POWER SYST, V31, P2507, DOI 10.1109/TPWRS.2015.2461014
   Wang JD, 2013, APPL ENERG, V105, P418, DOI 10.1016/j.apenergy.2013.01.008
   Welsch M, 2015, INT J ENERG RES, V39, P377, DOI 10.1002/er.3250
   Welsch M, 2014, APPL ENERG, V135, P600, DOI 10.1016/j.apenergy.2014.08.072
   Wood A. J., 2012, Power generation, operation, and control
   Zheng QPP, 2015, IEEE T POWER SYST, V30, P1913, DOI 10.1109/TPWRS.2014.2355204
   Zhou T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad19f
NR 53
TC 19
Z9 24
U1 2
U2 24
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD AUG 15
PY 2019
VL 181
BP 1321
EP 1330
DI 10.1016/j.energy.2019.05.126
PG 10
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA IL0DI
UT WOS:000476965900106
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Le Gac, AL
   Lafon-Placette, C
   Chauveau, D
   Segura, V
   Delaunay, A
   Fichot, R
   Marron, N
   Le Jan, I
   Berthelot, A
   Bodineau, G
   Bastien, JC
   Brignolas, F
   Maury, S
AF Le Gac, Anne-Laure
   Lafon-Placette, Clement
   Chauveau, Didier
   Segura, Vincent
   Delaunay, Alain
   Fichot, Regis
   Marron, Nicolas
   Le Jan, Isabelle
   Berthelot, Alain
   Bodineau, Guillaume
   Bastien, Jean-Charles
   Brignolas, Franck
   Maury, Stephane
TI Winter-dormant shoot apical meristem in poplar trees shows environmental
   epigenetic memory
SO JOURNAL OF EXPERIMENTAL BOTANY
LA English
DT Article
DE Differentially methylated regions; DNA methylation; drought;
   environment; epigenetics; field grown; poplar; shoot apical meristem;
   stress memory
ID WATER-USE EFFICIENCY; DNA METHYLATION; PHENOTYPIC PLASTICITY;
   GENE-EXPRESSION; ABIOTIC-STRESS; SUGAR-BEET; PHYSIOLOGICAL TRAITS;
   CLIMATIC ADAPTATION; GROWTH-PERFORMANCE; BOLTING TOLERANCE
AB Trees have a long lifespan and must continually adapt to environmental pressures, notably in the context of climate change. Epigenetic mechanisms are doubtless involved in phenotypic plasticity and in stress memory; however, little evidence of the role of epigenetic processes is available for trees growing in fields. Here, we analyzed the possible involvement of epigenetic mechanisms in the winter-dormant shoot apical meristem of Populus x euramericana clones in memory of the growing conditions faced during the vegetative period. We aimed to estimate the range of genetic and environmentally induced variations in global DNA methylation and to evaluate their correlation with changes in biomass production, identify differentially methylated regions (DMRs), and characterize common DMRs between experiments. We showed that the variations in global DNA methylation between conditions were genotype dependent and correlated with biomass production capacity. Microarray chip analysis allowed detection of DMRs 6 months after the stressful summer period. The 161 DMRs identified as common to three independent experiments most notably targeted abiotic stress and developmental response genes. Results are consistent with a winter-dormant shoot apical meristem epigenetic memory of stressful environmental conditions that occurred during the preceding summer period. This memory may facilitate tree acclimation.
C1 [Le Gac, Anne-Laure; Lafon-Placette, Clement; Delaunay, Alain; Fichot, Regis; Le Jan, Isabelle; Brignolas, Franck; Maury, Stephane] Univ Orleans, INRA, LBLGC, USC EA1207 1328, F-45067 Orleans, France.
   [Chauveau, Didier] Univ Orleans, CNRS, MAPMO, UMR 7349, F-45067 Orleans, France.
   [Segura, Vincent; Bastien, Jean-Charles] INRA, AGPF, UMR 588, F-45160 Ardon, France.
   [Marron, Nicolas] Univ Lorraine, AgroParisTech, INRA Grand Est, Silva,UMR 1434, F-54000 Nancy, France.
   [Berthelot, Alain] FCBA Delegat Terr Nord Est, F-21170 Charrey Sur Saone, France.
   [Bodineau, Guillaume] INRA, GBFOR, UE 0995, F-45160 Ardon, France.
   [Le Gac, Anne-Laure] Univ Freiburg, Inst Biol 3, D-79104 Freiburg, Germany.
   [Lafon-Placette, Clement] Charles Univ Prague, Dept Bot, Prague 12800, Czech Republic.
C3 INRAE; Universite de Orleans; Centre National de la Recherche
   Scientifique (CNRS); Universite de Orleans; CNRS - National Institute
   for Mathematical Sciences (INSMI); INRAE; Universite de Lorraine;
   AgroParisTech; INRAE; INRAE; University of Freiburg; Charles University
   Prague
RP Maury, S (corresponding author), Univ Orleans, INRA, LBLGC, USC EA1207 1328, F-45067 Orleans, France.
EM stephane.maury@univ-orleans.fr
RI Segura, Vincent/B-4656-2013; maury, sebastien/Q-6573-2018; Lafon
   Placette, Clement/G-7599-2018; Fichot, Regis/A-3654-2015
OI Maury, Stephane/0000-0003-0481-0847; Lafon Placette,
   Clement/0000-0001-6634-8104; Fichot, Regis/0000-0001-5527-4103
FU Ministere de la Recherche et Enseignement Superieur; ANR France, within
   the project BIOENERGIE SYLVABIOM [ANR-08-BIOE-0006]; Agence Nationale de
   la Recherche (ANR) [ANR-08-BIOE-0006] Funding Source: Agence Nationale
   de la Recherche (ANR)
FX CLP and ALLG received PhD grants from the Region Centre and the
   Ministere de la Recherche et Enseignement Superieur. This work was
   funded by the ANR France, within the project BIOENERGIE SYLVABIOM
   (ANR-08-BIOE-0006). We acknowledge Prof. Phillipe Gallusci (Universite
   INRA Bordeaux, France) and Dr Farshad Roodbarkelari (Institute for
   Biology III, University of Freiburg, Germany) for their help in
   improving the final version of the manuscript.
CR Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Alonso C, 2015, FRONT GENET, V6, DOI 10.3389/fgene.2015.00004
   Angers B, 2010, MOL ECOL, V19, P1283, DOI 10.1111/j.1365-294X.2010.04580.x
   [Anonymous], CLIM CHANG 2014 IM A
   [Anonymous], P NATL ACAD SCI
   [Anonymous], METHODS
   [Anonymous], 2013, ENVIRON EXP BOT, DOI DOI 10.1016/j.envexpbot.2012.02.013
   [Anonymous], FRONTIERS PLANT SCI
   Avramova Z, 2015, PLANT J, V83, P149, DOI 10.1111/tpj.12832
   Baubec T, 2014, EMBO REP, V15, P446, DOI 10.1002/embr.201337915
   Baulcombe DC, 2014, CSH PERSPECT BIOL, V6, DOI 10.1101/cshperspect.a019471
   Becker C, 2011, NATURE, V480, P245, DOI 10.1038/nature10555
   Benaglia T, 2009, J STAT SOFTW, V32, P1
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Birnbaum KD, 2017, REGENERATION, V4, P15, DOI 10.1002/reg2.73
   Bizet F, 2015, PHYSIOL PLANTARUM, V154, P39, DOI 10.1111/ppl.12271
   Bossdorf O, 2010, EVOL ECOL, V24, P541, DOI 10.1007/s10682-010-9372-7
   Bräutigam K, 2013, ECOL EVOL, V3, P399, DOI 10.1002/ece3.461
   Carneros E, 2017, PLANTA, V246, P553, DOI 10.1007/s00425-017-2713-9
   Causevic A, 2005, PLANT PHYSIOL BIOCH, V43, P681, DOI 10.1016/j.plaphy.2005.05.011
   Choi CS, 2007, MOL GENET GENOMICS, V277, P589, DOI 10.1007/s00438-007-0209-1
   Colaneri AC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059878
   Conde D, 2017, PLANT CELL ENVIRON, V40, P2236, DOI 10.1111/pce.13019
   Cortijo S, 2014, SCIENCE, V343, P1145, DOI 10.1126/science.1248127
   Ding Y, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-141
   Ding Y, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms1732
   Doyle JJ., 1987, PHYTOCHEM BULLET, V19, P11
   Dubin MJ, 2015, ELIFE, V4, DOI 10.7554/eLife.05255
   Eichten SR, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003127
   Fan D, 2015, SCI REP-UK, V5, DOI 10.1038/srep12217
   Fichot R, 2011, J EXP BOT, V62, P2093, DOI 10.1093/jxb/erq415
   Fichot R, 2010, PLANT CELL ENVIRON, V33, P1553, DOI 10.1111/j.1365-3040.2010.02164.x
   Fichot R, 2009, TREE PHYSIOL, V29, P1537, DOI 10.1093/treephys/tpp087
   Fleta-Soriano E, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00143
   Foust CM, 2016, MOL ECOL, V25, P1639, DOI 10.1111/mec.13522
   Gagliano M, 2014, OECOLOGIA, V175, P63, DOI 10.1007/s00442-013-2873-7
   Garg R, 2015, SCI REP-UK, V5, DOI 10.1038/srep14922
   Gourcilleau D, 2010, ANN FOREST SCI, V67, DOI 10.1051/forest/2009101
   Guarino F, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131480
   Hébrard C, 2016, J EXP BOT, V67, P207, DOI 10.1093/jxb/erv449
   Jablonka E, 1995, PHILOS T R SOC B, V350, P133, DOI 10.1098/rstb.1995.0147
   Jansson S, 2007, ANNU REV PLANT BIOL, V58, P435, DOI 10.1146/annurev.arplant.58.032806.103956
   Johannes F, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000530
   Johnsen O, 2009, PLANT COLD HARDINESS: FROM THE LABORATORY TO THE FIELD, P99, DOI 10.1079/9781845935139.0099
   Kawakatsu T, 2016, CELL, V166, P492, DOI 10.1016/j.cell.2016.06.044
   Kinoshita T, 2014, PLANT CELL PHYSIOL, V55, P1859, DOI 10.1093/pcp/pcu125
   Kooke R, 2015, PLANT CELL, V27, P337, DOI 10.1105/tpc.114.133025
   Lämke J, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1263-6
   Lafon-Placette C, 2018, J EXP BOT, V69, P537, DOI 10.1093/jxb/erx409
   Lafon-Placette C, 2013, NEW PHYTOL, V197, P416, DOI 10.1111/nph.12026
   Latzel V, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3875
   Liang D, 2014, BMC GENET, V15, DOI 10.1186/1471-2156-15-S1-S9
   Marron N, 2003, TREE PHYSIOL, V23, P1225, DOI 10.1093/treephys/23.18.1225
   Marron N, 2002, TREE PHYSIOL, V22, P849, DOI 10.1093/treephys/22.12.849
   Mauch-Mani B, 2017, ANNU REV PLANT BIOL, V68, P485, DOI 10.1146/annurev-arplant-042916-041132
   McLachlan G.J., 2000, WILEY SER PROB STAT, DOI 10.1002/0471721182
   Meyer P, 2015, J EXP BOT, V66, P3541, DOI 10.1093/jxb/eru502
   Mirouze M, 2011, CURR OPIN PLANT BIOL, V14, P267, DOI 10.1016/j.pbi.2011.03.004
   Monclus R, 2005, NEW PHYTOL, V167, P53, DOI 10.1111/j.1469-8137.2005.01407.x
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Niederhuth CE, 2017, BBA-GENE REGUL MECH, V1860, P149, DOI 10.1016/j.bbagrm.2016.08.009
   Ong-Abdullah M, 2015, NATURE, V525, P533, DOI 10.1038/nature15365
   Pál C, 1999, J THEOR BIOL, V200, P19, DOI 10.1006/jtbi.1999.0974
   Plomion C, 2016, ANN FOREST SCI, V73, P77, DOI 10.1007/s13595-015-0488-3
   Qin F, 2011, PLANT PHYSIOL, V157, P1900, DOI 10.1104/pp.111.187302
   R Core Team, 2015, R LANG ENV STAT COMP
   Raj S, 2011, P NATL ACAD SCI USA, V108, P12521, DOI 10.1073/pnas.1103341108
   Reinders J, 2009, GENE DEV, V23, P939, DOI 10.1101/gad.524609
   Richards CL, 2017, ECOL LETT, V20, P1576, DOI 10.1111/ele.12858
   Rico L, 2014, PLANT BIOLOGY, V16, P419, DOI 10.1111/plb.12049
   Sarnowska EA, 2013, PLANT PHYSIOL, V163, P305, DOI 10.1104/pp.113.223933
   Schmitz RJ, 2013, NATURE, V495, P193, DOI 10.1038/nature11968
   Schmitz RJ, 2011, SCIENCE, V334, P369, DOI 10.1126/science.1212959
   Schönberger B, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0168623
   Secco D, 2015, ELIFE, V4, DOI 10.7554/eLife.09343
   Song YP, 2016, J EXP BOT, V67, P1477, DOI 10.1093/jxb/erv543
   Steiner E, 2016, PLANT PHYSIOL, V171, P1485, DOI 10.1104/pp.16.00343
   Strimmer K, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-303
   Sultan SE, 2000, TRENDS PLANT SCI, V5, P537, DOI 10.1016/S1360-1385(00)01797-0
   Sultan SE, 2009, ECOLOGY, V90, P1831, DOI 10.1890/08-1064.1
   Teyssier C, 2014, PHYSIOL PLANTARUM, V150, P271, DOI 10.1111/ppl.12081
   Teyssier E, 2008, PLANTA, V228, P391, DOI 10.1007/s00425-008-0743-z
   Toillon J, 2013, BIOMASS BIOENERG, V56, P392, DOI 10.1016/j.biombioe.2013.05.017
   Trap-Gentil MV, 2011, J EXP BOT, V62, P2585, DOI 10.1093/jxb/erq433
   Tuskan GA, 2006, SCIENCE, V313, P1596, DOI 10.1126/science.1128691
   Vining KJ, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-27
   Wang CG, 2015, PLANT PHYSIOL, V169, P856, DOI 10.1104/pp.15.00351
   Wibowo A, 2016, ELIFE, V5, DOI 10.7554/eLife.13546
   Xu JD, 2018, PLANT BIOTECHNOL J, V16, P672, DOI 10.1111/pbi.12820
   Yakovlev I, 2012, SEED SCI RES, V22, P63, DOI 10.1017/S0960258511000535
   Yakovlev IA, 2017, FRONT PHYSIOL, V8, DOI 10.3389/fphys.2017.00674
   Yakovlev IA, 2016, PLANTA, V243, P1237, DOI 10.1007/s00425-016-2484-8
   Yakovlev IA, 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
   Yamamuro C, 2016, MOL PLANT, V9, P57, DOI 10.1016/j.molp.2015.10.008
   Yona AH, 2015, CELL, V163, P549, DOI 10.1016/j.cell.2015.10.005
   Zhang YY, 2013, NEW PHYTOL, V197, P314, DOI 10.1111/nph.12010
   Zhu RQ, 2013, PLANTA, V237, P1483, DOI 10.1007/s00425-013-1858-4
NR 98
TC 45
Z9 47
U1 2
U2 40
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0022-0957
EI 1460-2431
J9 J EXP BOT
JI J. Exp. Bot.
PD SEP 14
PY 2018
VL 69
IS 20
BP 4821
EP 4837
DI 10.1093/jxb/ery271
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA GX9XY
UT WOS:000448163300015
PM 30107545
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Välimäki, P
   Kivelä, SM
   Mäenpää, MI
   Tammaru, T
AF Vaelimaeki, P.
   Kivelae, S. M.
   Maeenpaeae, M. I.
   Tammaru, T.
TI Latitudinal clines in alternative life histories in a geometrid moth
SO JOURNAL OF EVOLUTIONARY BIOLOGY
LA English
DT Article
DE cogradient variation; countergradient variation; diapause induction;
   phenotypic plasticity; voltinism
ID AQUARIUS-REMIGIS HETEROPTERA; BODY-SIZE; GEOGRAPHIC-VARIATION; CLIMATIC
   ADAPTATION; INSECTS; GROWTH; DIAPAUSE; LEPIDOPTERA; PLASTICITY;
   PHYSIOLOGY
AB The relative roles of genetic differentiation and developmental plasticity in generating latitudinal gradients in life histories remain insufficiently understood. In particular, this applies to determination of voltinism (annual number of generations) in short-lived ectotherms, and the associated trait values. We studied different components of variation in development of Chiasmia clathrata (Lepidoptera: Geometridae) larvae that originated from populations expressing univoltine, partially bivoltine or bivoltine phenology along a latitudinal gradient of season length. Indicative of population-level genetic differentiation, larval period became longer while growth rate decreased with increasing season length within a particular phenology, but saw-tooth clines emerged across the phenologies. Indicative of phenotypic plasticity, individuals that developed directly into reproductive adults had shorter development times and higher growth rates than those entering diapause. The most marked differences between the alternative developmental pathways were found in the bivoltine region suggesting that the adaptive correlates of the direct development evolve if exposed to selection. Pupal mass followed a complex cline without clear reference to the shift in voltinism or developmental pathway probably due to varying interplay between the responses in development time and growth rate. The results highlight the multidimensionality of evolutionary trajectories of life-history traits, which either facilitate or constrain the evolution of integrated traits in alternative phenotypes.
C1 [Vaelimaeki, P.; Kivelae, S. M.; Maeenpaeae, M. I.] Univ Oulu, Dept Biol, FI-90014 Oulu, Finland.
   [Tammaru, T.] Univ Tartu, Inst Ecol & Earth Sci, EE-50090 Tartu, Estonia.
C3 University of Oulu; University of Tartu; Tartu University Institute of
   Ecology & Earth Sciences
RP Välimäki, P (corresponding author), Univ Oulu, Dept Biol, POB 3000, FI-90014 Oulu, Finland.
EM panu.valimaki@oulu.fi
RI Välimäki, Panu/H-5367-2012; Tammaru, Toomas/N-3892-2019
OI Maenpaa, Maarit I./0000-0002-1906-5811; Kivela,
   Sami/0000-0002-6844-9168; Tammaru, Toomas/0000-0002-6892-5910
FU Ella and Georg Ehrnrooth foundation; Emil Aaltonen foundation; Societas
   pro Fauna et Flora Fennica; Jenny and Antti Wihuri foundation; Estonian
   Science Foundation [9294]; targeted financing project [SF0180122s08];
   European Union through the European Regional Development Fund (Center of
   Excellence FIBIR)
FX We thank Jaak Jaagus for the Estonian weather data, Jari Oksanen for
   statistical advice, Juhani Itamies for providing us with some moths,
   Wolf Blanckenhorn, Christer Wiklund and three anonymous referees for
   useful comments on earlier drafts. This study was financed by Ella and
   Georg Ehrnrooth foundation (grants to P. V. and S. M. K.), Emil Aaltonen
   foundation (P. V.), Societas pro Fauna et Flora Fennica (P. V.), and
   Jenny and Antti Wihuri foundation (S. M. K.). T. T. was supported by
   Estonian Science Foundation (grant 9294), targeted financing project
   SF0180122s08 and by the European Union through the European Regional
   Development Fund (Center of Excellence FIBIR).
CR Aalberg Haugen IM, 2012, J EVOLUTION BIOL, V25, P1377, DOI 10.1111/j.1420-9101.2012.02525.x
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   [Anonymous], 2020, NLME LINEAR NONLINEA
   [Anonymous], FINN ENT DAT
   [Anonymous], LM4 LINEAR MIXED EFF
   BERVEN KA, 1983, AM ZOOL, V23, P85
   Blanckenhorn WU, 2004, INTEGR COMP BIOL, V44, P413, DOI 10.1093/icb/44.6.413
   BLANCKENHORN WU, 1994, OECOLOGIA, V97, P354, DOI 10.1007/BF00317325
   BLANCKENHORN WU, 1995, J EVOLUTION BIOL, V8, P21, DOI 10.1046/j.1420-9101.1995.8010021.x
   Chown SL, 1999, BIOL REV, V74, P87, DOI 10.1017/S000632319800526X
   Chown SL, 2010, BIOL REV, V85, P139, DOI 10.1111/j.1469-185X.2009.00097.x
   CONOVER DO, 1995, TRENDS ECOL EVOL, V10, P248, DOI 10.1016/S0169-5347(00)89081-3
   Danks H.V., 1987, Insect dormancy: an ecological perspective, V1
   De Block M, 2008, ECOGRAPHY, V31, P115, DOI 10.1111/j.2007.0906-7590.05313.x
   Dillon ME, 2006, INTEGR COMP BIOL, V46, P49, DOI 10.1093/icb/icj007
   Dmitriew CM, 2011, BIOL REV, V86, P97, DOI 10.1111/j.1469-185X.2010.00136.x
   Friberg M, 2012, OECOLOGIA, V169, P623, DOI 10.1007/s00442-011-2238-z
   Gomi T, 1997, OECOLOGIA, V111, P160, DOI 10.1007/s004420050220
   Gotthard K, 2010, J EVOLUTION BIOL, V23, P1129, DOI 10.1111/j.1420-9101.2010.01994.x
   Gotthard K, 2007, AM NAT, V169, P768, DOI 10.1086/516651
   HONEK A, 1993, OIKOS, V66, P483, DOI 10.2307/3544943
   Ishihara M, 1999, EVOLUTION, V53, P1979, DOI [10.2307/2640457, 10.1111/j.1558-5646.1999.tb04579.x]
   IWASA Y, 1983, THEOR POPUL BIOL, V23, P363, DOI 10.1016/0040-5809(83)90024-2
   IWASA Y, 1994, SERIES ENTOM, V52, P69
   Javois J, 2011, ENTOMOL EXP APPL, V139, P187, DOI 10.1111/j.1570-7458.2011.01120.x
   Karlsson B, 2008, P ROY SOC B-BIOL SCI, V275, P2131, DOI 10.1098/rspb.2008.0404
   Karlsson B, 2008, FUNCT ECOL, V22, P121, DOI 10.1111/j.1365-2435.2007.01334.x
   Kivelä SM, 2012, J EVOLUTION BIOL, V25, P881, DOI 10.1111/j.1420-9101.2012.02478.x
   Kivelä SM, 2011, J ANIM ECOL, V80, P1184, DOI 10.1111/j.1365-2656.2011.01864.x
   Kivelä SM, 2009, AM NAT, V174, P526, DOI 10.1086/605371
   Larsdotter Mellström H, 2010, BEHAV ECOL SOCIOBIOL, V64, P1377, DOI 10.1007/s00265-010-0952-x
   MASAKI S, 1972, EVOLUTION, V26, P587, DOI 10.1111/j.1558-5646.1972.tb01966.x
   MASAKI S, 1967, EVOLUTION, V21, P725, DOI 10.1111/j.1558-5646.1967.tb03430.x
   MORAN NA, 1992, AM NAT, V139, P971, DOI 10.1086/285369
   MOUSSEAU TA, 1991, ANNU REV ENTOMOL, V36, P511, DOI 10.1146/annurev.en.36.010191.002455
   Mousseau TA, 1997, EVOLUTION, V51, P630, DOI [10.1111/j.1558-5646.1997.tb02453.x, 10.2307/2411138]
   MOUSSEAU TA, 1989, EVOLUTION, V43, P1483, DOI 10.1111/j.1558-5646.1989.tb02598.x
   Nijhout HF, 2010, PHILOS T R SOC B, V365, P567, DOI 10.1098/rstb.2009.0249
   NYLIN S, 1992, BIOL J LINN SOC, V47, P301, DOI 10.1111/j.1095-8312.1992.tb00672.x
   Pinheiro J. C., 2009, Mixed-effects models in S and S-Plus, DOI DOI 10.1007/BF01313644
   Pöykkö H, 2010, J EVOLUTION BIOL, V23, P1278, DOI 10.1111/j.1420-9101.2010.01990.x
   R Development Core Team, 2009, R: a language and environment for statistical computing
   Remmel T, 2009, ECOL ENTOMOL, V34, P98, DOI 10.1111/j.1365-2311.2008.01044.x
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   Roff Derek, 2002, pi
   Scoble M.J., 1992, LEPIDOPTERA FORM FUN
   Seger J., 1987, Oxford Surveys in Evolutionary Biology, V4, P182
   SPENCE JR, 1989, CAN J ZOOL, V67, P2432, DOI 10.1139/z89-344
   Tammaru T, 2007, FUNCT ECOL, V21, P1099, DOI 10.1111/j.1365-2435.2007.01319.x
   Tammaru T, 2010, EVOL ECOL, V24, P161, DOI 10.1007/s10682-009-9297-1
   Tauber M.J., 1986, SEASONAL ADAPTATIONS
   Teder T, 2010, OECOLOGIA, V162, P117, DOI 10.1007/s00442-009-1439-1
   Telfer MG, 1999, OECOLOGIA, V121, P245, DOI 10.1007/s004420050926
   Therneau T.M., 2010, rpart: Recursive partitioning. R Packag. version 3, P1
   Välimäki P, 2008, J EVOLUTION BIOL, V21, P1711, DOI 10.1111/j.1420-9101.2008.01597.x
   WIKLUND C, 1991, OIKOS, V60, P241, DOI 10.2307/3544871
   WIKLUND C, 1992, EVOLUTION, V46, P519, DOI 10.1111/j.1558-5646.1992.tb02055.x
   Wiklund C, 2011, BIOL J LINN SOC, V102, P635, DOI 10.1111/j.1095-8312.2010.01581.x
   Wood S.N., 2006, Generalized additive models: An introduction with R. Chapman and Hall
NR 59
TC 38
Z9 42
U1 0
U2 80
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1010-061X
EI 1420-9101
J9 J EVOLUTION BIOL
JI J. Evol. Biol.
PD JAN
PY 2013
VL 26
IS 1
BP 118
EP 129
DI 10.1111/jeb.12033
PG 12
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA 057DZ
UT WOS:000312543700011
PM 23193976
OA Bronze
DA 2025-01-10
ER

PT J
AU Williams, PA
   Crespo, O
   Abu, M
AF Williams, Portia Adade
   Crespo, Olivier
   Abu, Mumuni
TI Assessing vulnerability of horticultural smallholders' to climate
   variability in Ghana: applying the livelihood vulnerability approach
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Climate variability; Vulnerability; Smallholders; Horticultural
   production; Livelihood Vulnerability Index (LVI); Ghana
ID HOUSEHOLD VULNERABILITY; ADAPTIVE CAPACITY; ADAPTATION; ASSESSMENTS;
   INDEX
AB Changing climate is posing considerable threats to agriculture, the most vulnerable sector, and to smallholder farming systems, the predominant agricultural livelihood activity in Africa. Study of specific systems enables clearer and more effective responses to be directly targeted for enhanced adaptation, but there is limited knowledge guiding specific subsector vulnerability assessments. We applied the Livelihood Vulnerability Index to understand and identify the nature and sources of vulnerability among smallholder horticultural farming households to climate variability in two districts in Ghana. A total of 480 households engaging in fruit and vegetable crop production were surveyed in Keta and Nsawam districts of Ghana. Data were collected on indicators for Livelihood Vulnerability Index components such as socio-demographic profiles, livelihood strategies, social networking, health, food, production, water, natural disasters, and climate variability. The vulnerability-contributing factors were aggregated in a composite index and differences were compared. The results indicate that smallholder horticultural farmers in Keta are more vulnerable in relation to high exposure and high sensitivity to climate variability, while smallholders in Nsawam are more vulnerable in terms of low capacity to adapt to climate variability. As it is the case for smallholder horticultural farming communities, the study suggests that Livelihood Vulnerability Index can be broadly applied to highlight potential areas for intervention and reduce the vulnerability of sector-specific farming communities within local and national levels.
C1 [Williams, Portia Adade; Crespo, Olivier] Univ Cape Town, Environm & Geog Sci Dept, Climate Syst Anal Grp, ZA-7700 Rondebosch, South Africa.
   [Williams, Portia Adade] CSIR Sci & Technol Policy Res Inst, Box CT 519, Accra, Ghana.
   [Abu, Mumuni] Univ Ghana, Reg Inst Populat Studies, Legon, Ghana.
C3 University of Cape Town; University of Ghana
RP Williams, PA (corresponding author), Univ Cape Town, Environm & Geog Sci Dept, Climate Syst Anal Grp, ZA-7700 Rondebosch, South Africa.; Williams, PA (corresponding author), CSIR Sci & Technol Policy Res Inst, Box CT 519, Accra, Ghana.
EM adadeposh@gmail.com
RI Abu, Mumuni/Y-2583-2019; crespo, olivier/L-6398-2013
OI Abu, Mumuni/0000-0002-6455-0162; Williams, Portia
   Adade/0000-0002-5919-3930; crespo, olivier/0000-0001-7320-9428
FU Organisation for Women in Science for the Developing World (OWSD)
   Fellowship Program; Swedish International Development Cooperation Agency
   (Sida)
FX This work is supported with funding from the Organisation for Women in
   Science for the Developing World (OWSD) Fellowship Program and Swedish
   International Development Cooperation Agency (Sida). All statements made
   and interpretations given from the findings and conclusion arrived are
   the views of the authors and not the opinion of OWSD and/or Sida.
CR Abdulai J., 2017, Journal of Agricultural Science (Toronto), V9, P202, DOI 10.5539/jas.v9n3p202
   ADGER W.N., 2004, CHANGE, V5, P128
   AGRA, 2017, AFR AGR STAT REP BUS
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Alley R., 2014, METEOROLOGY
   Anim-Kwapong G.J., 2005, VUNERABILITY ADAPTAT
   [Anonymous], 2016, OECD FAO AGR OUTLOOK
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Arndt C, 2015, SUSTAINABILITY-BASEL, V7, P7214, DOI 10.3390/su7067214
   Barsley W., 2013, FAO FISH AQUAC CIRC, P1
   Bisaro A, 2010, CLIM DEV, V2, P161, DOI 10.3763/cdev.2010.0037
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Chambers R., 1992, IDS DISCUSSION PAPER
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Etwire P. M., 2013, Journal of Environment and Earth Science, V3, P157
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   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 G.A., 2010, VULNERABILITY S AFRI, V34
   Ghana Statistical Service (GSS), 2014, 2010 POP HOUS CENS K
   GSS, 2014, 2010 POP HOUS CENS N
   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
   Laube W, 2012, CLIMATIC CHANGE, V111, P753, DOI 10.1007/s10584-011-0199-1
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   LIN JY, 1991, AM J AGR ECON, V73, P713, DOI 10.2307/1242823
   Madhuri, 2014, JAMBA-J DISASTER RIS, V6, DOI 10.4102/jamba.v6i1.127
   Malhotra SK, 2017, INDIAN J AGR SCI, V87, P12
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   NAB Council, 2014, FACTSH VEG GHAN
   Notenbaert A, 2013, REG ENVIRON CHANGE, V13, P459, DOI 10.1007/s10113-012-0368-4
   Panthi J, 2016, REG ENVIRON CHANGE, V16, P1121, DOI 10.1007/s10113-015-0833-y
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Raemaekers S., 2015, FAO FISHERIES AQUACU, V1110
   Riede J.O., 2016, Adaptation to Climate Change and Variability in Rural West Africa, P7, DOI DOI 10.1007/978-3-319-31499-0_2
   Rurinda J, 2014, CLIM RISK MANAG, V3, P65, DOI 10.1016/j.crm.2014.05.004
   Secretariat RG, 2009, GLOB FAC DIS RED REC
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Stanturf J.A., 2011, Ghana Climate Change Vulnerability and Adaptation Assessment
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P33
   Sullivan C., 2002, DERIVATION TESTING W
   Thomas PS, 2005, INTERN MED J, V35
   Tiani A.M., 2015, ASSESSING CURRENT SO
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Williams P.A., 2017, AGR FOOD SECURITY, V6, P1, DOI 10.1186/s40066-017-0104-x
   Wolters ML, 2015, J COAST CONSERV, V19, P345, DOI 10.1007/s11852-015-0396-6
NR 49
TC 28
Z9 32
U1 4
U2 52
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 2321
EP 2342
DI 10.1007/s10668-018-0292-y
PG 22
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:000515354000031
DA 2025-01-10
ER

PT J
AU Strange, KF
   March, H
   Satorras, M
AF Strange, Kaitlin F.
   March, Hug
   Satorras, Mar
TI Incorporating climate justice into adaptation planning: The case of San
   Francisco
SO CITIES
LA English
DT Article
DE Climate justice; Urban adaptation planning; Climate change governance;
   San Francisco
ID NEW-YORK-CITY; URBAN RESILIENCE; EQUITY; GENTRIFICATION; GOVERNANCE;
   POLITICS; CAPABILITIES; RECOGNITION
AB There is growing pressure for cities to plan for and take action on climate change in equitable and just ways. Scholars, however, continue to debate what justice looks like in practice, and cities struggle to plan for and implement climate justice. This article investigates the case of San Francisco, a forerunner in climate action and a city experiencing profound inequality. Our research employs an analytical framework that assesses how and to what extent climate justice is incorporated into climate adaptation planning. This study analyzes 20 years of adaptation efforts in San Francisco and is informed by interviews with city planners and agency staff. Our research has found that San Francisco's approach to climate planning has shifted in recent years from focusing primarily on technology and science to addressing concerns of justice and the needs of residents. While San Francisco has made efforts to develop climate justice plans, further inquiry is needed to study the challenges of fully integrating climate justice into implementation. The insights gained from this case of San Francisco and our analytical framework can inform future urban climate action plans and further the debate around climate justice in cities from the Global North.
C1 [Strange, Kaitlin F.; March, Hug; Satorras, Mar] Univ Oberta Catalunya, Urban Transformat & Global Change Lab TURBA, Internet Interdisciplinary Inst IN3, Barcelona, Spain.
   [March, Hug] Univ Oberta Catalunya UOC, Estudis Econ & Empresa, Barcelona, Spain.
   [Satorras, Mar] Univ Autonoma Barcelona, Inst Metropoli, Bellaterra, Spain.
C3 UOC Universitat Oberta de Catalunya; UOC Universitat Oberta de
   Catalunya; Autonomous University of Barcelona
RP Strange, KF (corresponding author), Univ Oberta Catalunya, Urban Transformat & Global Change Lab TURBA, Internet Interdisciplinary Inst IN3, Barcelona, Spain.
EM kstrange@uoc.edu; hmarch@uoc.edu; mar.satorras@uab.cat
RI March, Hug/F-4935-2016; Satorras, Mar/AAB-2054-2021
OI Satorras, Mar/0000-0003-0991-7141
FU Universitat Oberta de Catalunya; Internet Interdisciplinary Institute
   (IN3); Departament de Recerca i Universistat; Generalitat de Catalunya
FX The authors would like to thank the planners and advocates in San
   Francisco who shared their perspectives with us. Kaitlin F. Strange has
   received financial support for this research through a PhD grant from
   the Universitat Oberta de Catalunya and the Internet Interdisciplinary
   Institute (IN3). This publication is part of the project 2021 SGR 00975
   funded by the Departament de Recerca i Universistat, Generalitat de
   Catalunya.
CR Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   Anguelovski I, 2019, P NATL ACAD SCI USA, V116, P26139, DOI 10.1073/pnas.1920490117
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2022, Building Bridges Across the Bridge
   Araos M, 2021, ONE EARTH, V4, P1454, DOI 10.1016/j.oneear.2021.09.001
   Bulkeley H, 2021, ENVIRON POLIT, V30, P266, DOI 10.1080/09644016.2021.1880713
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   C.A. Office of Environmental Health Hazard Assessment (OEHHA), 2023, About CalEnviro-Screen
   C40, 2022, City stories: Tackling energy poverty and building community resilience to crisis
   Camponeschi C, 2021, GEOFORUM, V123, P78, DOI 10.1016/j.geoforum.2021.05.001
   Carley S, 2020, NAT ENERGY, V5, P569, DOI 10.1038/s41560-020-0641-6
   Cattino M, 2021, CURR OPIN ENV SUST, V52, P1, DOI 10.1016/j.cosust.2021.08.004
   Chapple Karen., 2017, New Labor Forum, V26, P84
   Chu E., 2019, UNLOCKING POTENTIAL
   Chu E, 2019, ENVIRON URBAN, V31, P139, DOI 10.1177/0956247818814449
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   City of Boston, 2021, Climate action plan
   City of Dallas, 2020, Climate action plan
   City of New York, 2022, OneNYC 2050: Building a strong and fair city
   City of San Francisco, 2014, Guidance for incorporating sea level rise into capital planning In San Francisco
   City of San Francisco, 2020, Citywide racial equity framework
   City of San Francisco, 2012, Ocean beach master plan
   City of San Francisco, 2019, Declaration of climate emergency
   City of San Francisco, Resilient San Francisco
   City of San Francisco, 2022, India Basin equitable development plan
   Coggins S, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0663
   Colebrook C, 2020, J BIOETHIC INQ, V17, P495, DOI 10.1007/s11673-020-10024-9
   Colenbrander S, 2018, CLIM POLICY, V18, P902, DOI 10.1080/14693062.2017.1388212
   Contreras E, 2019, POLIT CULT MOD AM, P1
   de Moor J, 2021, SOC MOVEMENT STUD, V20, P619, DOI 10.1080/14742837.2020.1836617
   Dillon L., 2018, UC Law Environmental Journal, V24, P227
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   Fiack D, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103235
   Fisher DR, 2021, POLITICS GOV, V9, P112, DOI 10.17645/pag.v9i2.3801
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Forsyth T, 2022, POLIT GEOGR, V98, DOI 10.1016/j.polgeo.2022.102691
   Forsyth T, 2018, WORLD DEV, V111, P13, DOI 10.1016/j.worlddev.2018.06.023
   Foster S, 2019, ANN NY ACAD SCI, V1439, P126, DOI 10.1111/nyas.14009
   Frantzeskaki N., 2018, urban planet: knowledge towards sustainable cities, P281, DOI [10.1017/9781316647554.016, DOI 10.1017/9781316647554.016]
   Granberg M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031201
   Grove K, 2020, GEOFORUM, V117, P134, DOI 10.1016/j.geoforum.2020.09.014
   Guzman J, 2015, SCIENCE, V347, P606, DOI 10.1126/science.aaa0201
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Hourdequin M., 2016, Climate Justice and Geoengineering: Ethics and Policy in the Atmospheric Anthropocene, P33
   Hughes S, 2020, ENVIRON SCI POLICY, V111, P35, DOI 10.1016/j.envsci.2020.05.007
   Hughes S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.640
   Juhola S, 2022, ENVIRON SCI POLICY, V136, P609, DOI 10.1016/j.envsci.2022.07.024
   Keenan JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb32
   Krieger N, 2020, J PUBLIC HEALTH POL, V41, P4, DOI 10.1057/s41271-019-00209-x
   Lang W, 2016, CITIES, V58, P124, DOI 10.1016/j.cities.2016.05.014
   Levy DL, 2021, J MANAGE STUD, V58, P562, DOI 10.1111/joms.12654
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Maharawal MM, 2017, ANTHROPOL THEOR, V17, P338, DOI 10.1177/1463499617732501
   Mattar SD, 2021, CLIM POLICY, V21, P1307, DOI 10.1080/14693062.2021.1976095
   May C, 2020, NAT CLIM CHANGE, V10, P889, DOI 10.1038/s41558-020-0886-x
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mikulewicz M, 2019, GEOFORUM, V104, P267, DOI 10.1016/j.geoforum.2019.05.010
   Mohtat N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100951
   MTC, 2023, Cap and trade funding
   Nussbaum MarthaC., 2011, CREATING CAPABILITIE, DOI [DOI 10.2307/J.CTT2JBT31, 10.2307/j.ctt2jbt31, https://doi.org/10.2307/j.ctt2jbt31]
   Pezzullo PhaedraCarmen., 2009, TOXIC TOURISM RHETOR
   Pinto PJ, 2018, ENVIRON SCI POLICY, V90, P28, DOI 10.1016/j.envsci.2018.09.015
   Public Utilities Commission (PUC), 2018, Alternatives analysis report for coastal adaptation strategies
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Rice JL, 2014, GEOGR COMPASS, V8, P381, DOI 10.1111/gec3.12134
   Robin E, 2021, INT J URBAN REGIONAL, V45, P869, DOI 10.1111/1468-2427.12981
   ROBINSON T, 1995, URBAN AFF REV, V30, P483, DOI 10.1177/107808749503000401
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Rosenzweig C., 2015, ARC32 SUMMARY CITY L
   San Francisco Department of Homelessness and Supportive Housing, 2021, Sheltered point-in-time count
   San Francisco Department of Public Health, San Francisco's Climate and Health Adaptation Framework
   San Francisco Department of the Environment, 2021, Climate action plan
   San Francisco Human Services Agency, 2022, Older adults in San Francisco
   San Francisco Office of Resilience and Capital Planning, 2020, Hazards and climate resilience plan
   San Francisco Office of Resilience and Recovery, 2016, Resilient San Francisco
   San Francisco Office of the Mayor, 2022, Homeless population
   Satorras M., 2022, Urban book series-Urban resilience to the climate emergency: Unravelling the transformative potential of institutional and grassroots initiatives, P177, DOI [10.1007/978-3-031-07301-48, DOI 10.1007/978-3-031-07301-48]
   Satorras M, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102887
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Schlosberg David., 2007, DEFINING ENV JUSTICE
   See J, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-021-03266-y
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shi L, 2021, URBAN AFF REV, V57, P1442, DOI 10.1177/1078087419910827
   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
   Solis M., 2017, ISSI graduate fellows working paper series 2015-2016, V76
   Solis M, 2023, J PLAN EDUC RES, V43, P1007, DOI 10.1177/0739456X20929407
   Stehlin J, 2015, ENVIRON PLANN A, V47, P121, DOI 10.1068/a130098p
   Sultana F, 2022, GEOGR J, V188, P118, DOI 10.1111/geoj.12417
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Swanson K, 2021, URBAN PLAN, V6, P287, DOI 10.17645/up.v6i4.4399
   U.S. Census Bureau, 2020, 2022 census
   U.S. Department of Health and Human Services, 2018, Poverty guidelines
   van der Heijden J, 2021, POLICY SOC, V40, P116, DOI 10.1080/14494035.2021.1934984
   Walker R., 2018, Pictures of a gone city: Tech and the dark side of prosperity in the San Francisco Bay Area
   Yang H, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102755
   Young I. M., 1990, Justice and the Politics of Difference
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
   Zuñiga ME, 2024, URBAN AFF REV, V60, P1123, DOI 10.1177/10780874231175841
NR 106
TC 1
Z9 1
U1 7
U2 18
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JAN
PY 2024
VL 144
AR 104627
DI 10.1016/j.cities.2023.104627
EA NOV 2023
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA Z2RD7
UT WOS:001110591400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Shu, QG
   Ludwig, F
AF Shu, Qiguan
   Ludwig, Ferdinand
TI A circuit analogy based girth growth model for living architecture
   design
SO JOURNAL OF THE ROYAL SOCIETY INTERFACE
LA English
DT Article
DE living architecture; functional structural plant model; circuit analogy;
   pipe model theory; inosculation; parametric design
ID TREE-GROWTH; SERVICES; SYSTEMS; SAPWOOD
AB Architecture with and from living trees (Baubotanik) is a promising approach to sustainable, climate-adapted construction. Shaping and grafting allows one to create resilient structures that combine the ecological performance and aesthetics of trees with the functions of buildings. In order to design and engineer such living structures, it is necessary to predict the growth of different tree segments, especially when trunks, branches or roots are bent and jointed into a complex inosculated network. To address this, we have developed a tool to forecast the relative girth growth of different segments in such structures based on topological skeletons, the pipe model theory and circuit analogy. We have validated our results with a set of (scaled) photographs of inosculated tree structures of the so-called 'Tree Circus', covering over 80 years of their growth. Our model has proven to predict the relative girth growth with sufficient accuracy for conceptual design purposes. So far, it does not allow the simulation of absolute growth in circumference over the course of time that is necessary to predict quantitative technical aspects, such as mechanical performance at a given time. We conclude by briefly outlining how this could be addressed in future research.
C1 [Shu, Qiguan; Ludwig, Ferdinand] Tech Univ Munich, Sch Engn & Design, Green Technol Landscape Architecture, Arcisstr 21, D-80333 Munich, Germany.
C3 Technical University of Munich
RP Shu, QG (corresponding author), Tech Univ Munich, Sch Engn & Design, Green Technol Landscape Architecture, Arcisstr 21, D-80333 Munich, Germany.
EM qiguan.shu@tum.de
RI Shu, Qiguan/GNH-5982-2022
OI Ludwig, Ferdinand/0000-0001-5877-5675; Shu, Qiguan/0000-0003-3856-2191
CR Allen MT, 2005, NEW PHYTOL, V166, P869, DOI 10.1111/j.1469-8137.2005.01348.x
   Arbona J., 2003, Thresholds Journal, V26, P48, DOI [10.1162/thlda00359, DOI 10.1162/THLDA00359, 10.1162/thld_a_00359, DOI 10.1162/THLD_A_00359]
   Da Silva D, 2011, ANN BOT-LONDON, V108, P1135, DOI 10.1093/aob/mcr072
   de Vries J, 2018, ANN BOT-LONDON, V121, P1019, DOI 10.1093/aob/mcx212
   Delzon S, 2005, AGR FOREST METEOROL, V129, P105, DOI 10.1016/j.agrformet.2005.01.002
   Du SL, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11182074
   Ericson M., 2017, GRASSHOPPER ALGORITH
   Erlandson W., 2001, MY FATHER TALKED TRE
   Fan GP, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12183089
   Fromm JH, 2001, PLANT PHYSIOL, V127, P416, DOI 10.1104/pp.010194
   Godin C, 2005, NEW PHYTOL, V166, P705, DOI 10.1111/j.1469-8137.2005.01445.x
   Godin C, 2000, ANN FOREST SCI, V57, P413
   Gong Y., 2018, INT ARCH PHOTOGRAMM, V42, P403, DOI [10.5194/isprs-archives-XLII-3-403-2018, DOI 10.5194/ISPRS-ARCHIVES-XLII-3-403-2018]
   GTLA, 2022, URB GREEN SYST 4 0 C
   Guo Y., 2022, MODELING URBAN TREE
   Katola K., 2015, SRODOWISKO MIESZKANI, V15/2015, P64
   Kirsch K, 1997, NATURBAUTEN LEBENDEN
   Knutzen J., 2009, P KOR SOC BROADC ENG
   Lehnebach R, 2018, ANN BOT-LONDON, V121, P773, DOI 10.1093/aob/mcx194
   Lentz W, 1998, SCI HORTIC-AMSTERDAM, V74, P151, DOI 10.1016/S0304-4238(98)00085-5
   Lin J, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.126366
   Louarn G, 2020, ANN BOT-LONDON, V126, P501, DOI 10.1093/aob/mcaa143
   Ludwig F., 2009, LEBENDE BAUTEN TRAIN, P165
   Ludwig F., 2008, KONSTRUKTION GESTALT
   Ludwig F., 2012, BOTANISCHE GRUNDLAGE
   Ludwig F., 2022, GROWING ARCHITECTURE
   Ludwig F., 2019, RETHINKING WOOD FUTU
   Ludwig F, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48652-w
   Ludwig F, 2012, ARCHIT DESIGN, V82, P82, DOI 10.1002/ad.1383
   McPherson Gregory E, 2016, FSRDA
   Middleton W, 2023, TREES-STRUCT FUNCT, V37, P891, DOI 10.1007/s00468-023-02392-7
   Middleton W, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-05194-y
   Middleton W, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083267
   MILLNER M. E., 1932, NEW PHYTOLOGIST, V31, P2, DOI 10.1111/j.1469-8137.1932.tb07430.x
   Moser A, 2017, ALLG FORST JAGDZTG, V188, P94, DOI 10.23765/afjz0002006
   Mylo MD, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12061385
   Nolan Deborah., 2001, Stat labs: Mathematical statistics through applications
   Palubicki W, 2009, ACM T GRAPHIC, V28, DOI 10.1145/1531326.1531364
   Paris C, 2017, IEEE T GEOSCI REMOTE, V55, P3679, DOI [10.1109/tgrs.2017.2675963, 10.1109/TGRS.2017.2675963]
   Pazdrowski W, 2007, WOOD RES-SLOVAKIA, V52, P1
   Poorter L, 2010, NEW PHYTOL, V185, P481, DOI 10.1111/j.1469-8137.2009.03092.x
   Prusinkiewicz P, 2007, WAG UR FRON, V22, P123
   Prusinkiewicz Przemyslaw, 2012, The Algorithmic Beauty of Plants, DOI DOI 10.1007/978-1-4613-8476-2
   Rahman MA, 2021, URBAN FOR URBAN GREE, V63, DOI 10.1016/j.ufug.2021.127223
   Rahman MA, 2019, URBAN FOR URBAN GREE, V38, P22, DOI 10.1016/j.ufug.2018.11.002
   Reames R, 2005, ARBORSCULPTURE SOLUT
   Rötzer T, 2019, SCI TOTAL ENVIRON, V676, P651, DOI 10.1016/j.scitotenv.2019.04.235
   Sellin A, 1991, SCAND J FOREST RES, V6, P463, DOI 10.1080/02827589109382683
   Shinozaki K., 1964, Japanese Journal of Ecology, V14, P133, DOI [10.18960/seitai.14.397, DOI 10.18960/SEITAI.14.397, 18960/seitai.14.397.353]
   Shu Q., 2023, FIGSHARE, DOI [10.6084/m9.figshare.c.6641288, DOI 10.6084/M9.FIGSHARE.C.6641288]
   Thornley J.H.M., 1990, PLANT CROP MODELLING
   Tyree MT, 1997, J EXP BOT, V48, P1753, DOI 10.1093/jexbot/48.315.1753
   TYREE MT, 1991, NEW PHYTOL, V119, P345, DOI 10.1111/j.1469-8137.1991.tb00035.x
   United Nations, 2015, No.A/RES/70/1.
   VALENTINE HT, 1985, J THEOR BIOL, V117, P579, DOI 10.1016/S0022-5193(85)80239-3
   Vallas T, 2017, FRONT ARCHIT RES, V6, P318, DOI 10.1016/j.foar.2017.05.003
   Wang XL, 2020, EUR J WOOD WOOD PROD, V78, P1031, DOI 10.1007/s00107-020-01583-0
   White MG., 2022, SIMULATION VISUALISA
NR 58
TC 3
Z9 3
U1 3
U2 9
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1742-5689
EI 1742-5662
J9 J R SOC INTERFACE
JI J. R. Soc. Interface
PD MAY 24
PY 2023
VL 20
IS 202
AR 20230168
DI 10.1098/rsif.2023.0168
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA H1CV9
UT WOS:000993416500003
PM 37221863
OA Green Published
DA 2025-01-10
ER

PT J
AU Rota, F
   Casazza, G
   Genova, G
   Midolo, G
   Prosser, F
   Bertolli, A
   Wilhalm, T
   Nascimbene, J
   Wellstein, C
AF Rota, Francesco
   Casazza, Gabriele
   Genova, Giulio
   Midolo, Gabriele
   Prosser, Filippo
   Bertolli, Alessio
   Wilhalm, Thomas
   Nascimbene, Juri
   Wellstein, Camilla
TI Topography of the Dolomites modulates range dynamics of narrow endemic
   plants under climate change
SO SCIENTIFIC REPORTS
LA English
DT Article
ID MOUNTAIN PLANTS; DISTRIBUTION MODELS; VASCULAR PLANTS; FUTURE;
   DISTRIBUTIONS; MICROREFUGIA; CONSERVATION; BIODIVERSITY; DIVERSITY;
   VELOCITY
AB Climate change is expected to threaten endemic plants in the Alps. In this context, the factors that may modulate species responses are rarely investigated at a local scale. We analyzed eight alpine narrow endemics of the Dolomites (southeastern Alps) under different predicted climate change scenarios at fine spatial resolutions. We tested possible differences in elevation, topographic heterogeneity and velocity of climate change among areas of gained, lost, or stable climatic habitat. The negative impact of climate change ranged from moderate to severe, depending on scenario and species. Generally, range loss occurred at the lowest elevations, while gained and stable areas were located at highest elevations. For six of the species, climate change velocity had higher values in stable and gained areas than in lost ones. Our findings support the role of topographic heterogeneity in maintaining climatic microrefugia, however, the peculiar topography of the Dolomites, characterized by high altitude plateaus, resulted in high climate change velocity in areas of projected future climatic suitability. Our study supports the usefulness of multiple predictors of spatio-temporal range dynamics for regional climate-adapted management and eventual assisted colonization planning to not overlook or overestimate the potential impact of climate change locally.
C1 [Rota, Francesco; Genova, Giulio; Midolo, Gabriele; Wellstein, Camilla] Free Univ Bozen Bolzano, Fac Sci & Technol, Bolzano, Italy.
   [Casazza, Gabriele] Univ Genoa, Dipartimento Sci Terra Ambiente & Vita, Corso Europa 26, I-16132 Genoa, Italy.
   [Prosser, Filippo; Bertolli, Alessio] Fdn Museo Civ Rovereto, Rovereto, Trento, Italy.
   [Wilhalm, Thomas] Museum Nat South Tyrol, Via Bottai 1, I-39100 Bolzano, Italy.
   [Nascimbene, Juri] Univ Bologna, Alma Mater Studiorum, Dept Biol Geol & Environm Sci, BIOME Lab, Bologna, Italy.
C3 Free University of Bozen-Bolzano; University of Genoa; University of
   Bologna
RP Rota, F; Wellstein, C (corresponding author), Free Univ Bozen Bolzano, Fac Sci & Technol, Bolzano, Italy.
EM francesco.rota@natec.unibz.it; Camilla.Wellstein@unibz.it
RI Wellstein, Camilla/C-5042-2012; Genova, Giulio/T-1110-2019; Rota,
   Francesco/IWD-4834-2023; Casazza, Gabriele/O-5211-2017
OI Nascimbene, Juri/0000-0002-9174-654X; Prosser,
   Filippo/0000-0002-8723-9860; Rota, Francesco/0000-0002-4014-6173;
   Wellstein, Camilla/0000-0001-6994-274X; Midolo,
   Gabriele/0000-0003-1316-2546; Genova, Giulio/0000-0001-9412-8651;
   Casazza, Gabriele/0000-0002-3334-8551
FU Open Access Publishing Fund; Free University of Bozen-Bolzano
FX This work was supported by the Open Access Publishing Fund provided by
   the Free University of Bozen-Bolzano. The computational results
   presented have been achieved using the Vienna Scientific Cluster (VSC).
   We thank also Cesare Lasen, Michele Da Pozzo (Parco naturale Dolomiti
   d'Ampezzo), Marcello Tomaselli (Universita di Parma), Gianni Poloniato
   (Parco Nazionale Dolomiti Bellunesi), Fabrizio Martini (Universita di
   Trieste), Michela Tomasella (Parco naturale Dolomiti Friulane) and
   Giorgio Perazza (Museo Civico di Rovereto) for the availability of
   species occurrence data; Piero Zannini (Alma Mater Studiorum-Universita
   di Bologna) for useful advices on data analysis.
CR Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], 2009, Geoheritage, DOI DOI 10.1007/S12371-009-0003-Z
   [Anonymous], 2013, Le orchidee dell'Italia nordorientale. Atlante corologico e guida al riconoscimento
   [Anonymous], 2017, Habitat Suitability and Distribution Models with Applications in R, DOI DOI 10.1017/9781139028271.010
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Badgley C, 2017, TRENDS ECOL EVOL, V32, P211, DOI 10.1016/j.tree.2016.12.010
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bertolli A., 2019, FLORA DOLOMITICA 50
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Blois JL, 2013, SCIENCE, V341, P499, DOI 10.1126/science.1237184
   Boisvert-Marsh L, 2019, J ECOL, V107, P1956, DOI 10.1111/1365-2745.13149
   Bosellini A, 2003, EPISODES, V26, P181, DOI 10.18814/epiiugs/2003/v26i3/005
   Buffa G., 2016, REGIONE VENETO
   Cao Y, 2013, ECOL MODEL, V259, P30, DOI 10.1016/j.ecolmodel.2013.03.012
   Carton A., 1993, GEOMORPHOLOGICAL FEA
   Casazza G, 2021, J ECOL, V109, P2284, DOI 10.1111/1365-2745.13606
   Casazza G, 2014, BIOL CONSERV, V179, P129, DOI 10.1016/j.biocon.2014.09.015
   Dagnino D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01708-4
   Dainese M, 2017, NAT CLIM CHANGE, V7, P577, DOI [10.1038/nclimate3337, 10.1038/NCLIMATE3337]
   Damschen EI, 2012, J ECOL, V100, P1122, DOI 10.1111/j.1365-2745.2012.01986.x
   Dexter F, 2013, ANESTH ANALG, V117, P537, DOI 10.1213/ANE.0b013e31829ed28f
   Di Nuzzo L, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-83866-x
   Dirnbock T., 2003, ECOL STU AN, P195
   Dirnböck T, 2011, GLOBAL CHANGE BIOL, V17, P990, DOI 10.1111/j.1365-2486.2010.02266.x
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Dullinger S, 2012, GLOBAL ECOL BIOGEOGR, V21, P829, DOI 10.1111/j.1466-8238.2011.00732.x
   Dullinger S, 2012, NAT CLIM CHANGE, V2, P619, DOI 10.1038/NCLIMATE1514
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Engler R, 2009, ECOGRAPHY, V32, P34, DOI 10.1111/j.1600-0587.2009.05789.x
   Erfanian MB, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88577-x
   Erschbamer B, 2011, PRESLIA, V83, P387
   Essl F, 2009, BIOL CONSERV, V142, P2547, DOI 10.1016/j.biocon.2009.05.027
   Ferrarini A, 2016, SCI REP-UK, V6, DOI 10.1038/srep28542
   García MB, 2020, ENVIRON EXP BOT, V170, DOI 10.1016/j.envexpbot.2019.103886
   Gennai M., 2013, LISTA ROSSA FLORA IT
   Geppert C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19680-2
   Gianolla P., 2008, NOMINATION DOLOMITES
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Graae BJ, 2018, PERSPECT PLANT ECOL, V30, P41, DOI 10.1016/j.ppees.2017.09.008
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Harrison S, 2017, ANN BOT-LONDON, V119, P207, DOI 10.1093/aob/mcw248
   Hülber K, 2020, GLOB ECOL CONSERV, V23, DOI 10.1016/j.gecco.2020.e01113
   Hülber K, 2016, GLOBAL CHANGE BIOL, V22, P2608, DOI 10.1111/gcb.13232
   Irl SDH, 2015, J ECOL, V103, P1621, DOI 10.1111/1365-2745.12463
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Kassambara A., 2020, R PACKAGE VERSION, V1, P7
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Körner C, 2007, TRENDS ECOL EVOL, V22, P569, DOI 10.1016/j.tree.2007.09.006
   Korner C., 2003, Alpine plant life, P9, DOI [10.1007/978-3-642-18970-8_2, DOI 10.1007/978-3-642-18970-8_2]
   Lembrechts JJ, 2019, ECOGRAPHY, V42, P1267, DOI 10.1111/ecog.03947
   Lenoir J, 2017, ECOGRAPHY, V40, DOI 10.1111/ecog.02788
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Malcolm JR, 2006, CONSERV BIOL, V20, P538, DOI 10.1111/j.1523-1739.2006.00364.x
   Meineri E, 2017, ECOGRAPHY, V40, P1003, DOI 10.1111/ecog.02494
   Moritz C, 2013, SCIENCE, V341, P504, DOI 10.1126/science.1237190
   Morueta-Holme N, 2015, P NATL ACAD SCI USA, V112, P12741, DOI 10.1073/pnas.1509938112
   Muñoz-Sáez A, 2021, SCI TOTAL ENVIRON, V785, DOI 10.1016/j.scitotenv.2021.147399
   Niskanen AKJ, 2019, DIVERS DISTRIB, V25, P809, DOI 10.1111/ddi.12889
   Ozinga WA, 2009, ECOL LETT, V12, P66, DOI 10.1111/j.1461-0248.2008.01261.x
   Parmesan C, 2015, ANN BOT-LONDON, V116, P849, DOI 10.1093/aob/mcv169
   Parolo G, 2008, BASIC APPL ECOL, V9, P100, DOI 10.1016/j.baae.2007.01.005
   Patsiou TS, 2014, GLOBAL CHANGE BIOL, V20, P2286, DOI 10.1111/gcb.12515
   PAWLOWSKI B, 1970, Vegetatio, V21, P181
   PEARSON R.G., 2007, SYNTHESIS, DOI DOI 10.5531/CBC.NCEP.0184
   Pignatti E., 2016, Plant life of the Dolomites: Atlas of flora
   Prosser F., 2019, Flora del Trentino
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Randin CF, 2009, GLOBAL CHANGE BIOL, V15, P1557, DOI 10.1111/j.1365-2486.2008.01766.x
   Riley S.J., 1999, Intermountain Journal of Sciences, V5, P23
   Rossi G., 2020, LISTA ROSSA FLORA IT
   Sandel B, 2011, SCIENCE, V334, P660, DOI 10.1126/science.1210173
   Sanderson BM, 2015, J CLIMATE, V28, P5171, DOI 10.1175/JCLI-D-14-00362.1
   Santini L, 2021, DIVERS DISTRIB, V27, P1035, DOI 10.1111/ddi.13252
   Scherrer D, 2011, J BIOGEOGR, V38, P406, DOI 10.1111/j.1365-2699.2010.02407.x
   Schönswetter P, 2005, MOL ECOL, V14, P3547, DOI 10.1111/j.1365-294X.2005.02683.x
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Sedlacek JF, 2014, BASIC APPL ECOL, V15, P305, DOI 10.1016/j.baae.2014.05.006
   Suggitt AJ, 2018, NAT CLIM CHANGE, V8, P713, DOI 10.1038/s41558-018-0231-9
   Tarquini S, 2017, GEOMORPHOLOGY, V281, P108, DOI 10.1016/j.geomorph.2016.12.022
   Thuiller W., 2016, PACKAGE BIOMOD2
   Trew BT, 2021, GLOBAL ECOL BIOGEOGR, V30, P768, DOI 10.1111/geb.13272
   Tribsch A, 2004, J BIOGEOGR, V31, P747, DOI 10.1111/j.1365-2699.2004.01065.x
   Trivedi MR, 2008, GLOBAL CHANGE BIOL, V14, P1089, DOI 10.1111/j.1365-2486.2008.01553.x
   Unterluggauer Peter, 2016, Gredleriana, V16, P5
   Vittoz P, 2007, BOT HELV, V117, P109, DOI 10.1007/s00035-007-0797-8
   Wershow ST, 2018, AM J BOT, V105, P760, DOI 10.1002/ajb2.1042
   Wilhalm T., 2006, ROTE LISTE GEFAHRDET
   Zecca G, 2017, PLANT ECOL DIVERS, V10, P273, DOI 10.1080/17550874.2017.1393702
NR 92
TC 8
Z9 10
U1 3
U2 13
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JAN 26
PY 2022
VL 12
IS 1
AR 1398
DI 10.1038/s41598-022-05440-3
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA YQ3SO
UT WOS:000749232200011
PM 35082360
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Mayor, B
   Zorrilla-Miras, P
   Le Coent, P
   Biffin, T
   Dartée, K
   Peña, K
   Graveline, N
   Marchal, R
   Nanu, F
   Scrieciu, A
   Calatrava, J
   Manzano, M
   López-Gunn, E
AF Mayor, Beatriz
   Zorrilla-Miras, Pedro
   Le Coent, Philippe
   Biffin, Thomas
   Dartee, Kieran
   Pena, Karina
   Graveline, Nina
   Marchal, Roxane
   Nanu, Florentina
   Scrieciu, Albert
   Calatrava, Javier
   Manzano, Marisol
   Lopez-Gunn, Elena
TI Natural Assurance Schemes Canvas: A Framework to Develop Business Models
   for Nature-Based Solutions Aimed at Disaster Risk Reduction
SO SUSTAINABILITY
LA English
DT Article
DE nature-based solutions; business models; natural assurance schemes; risk
   reduction
AB Nature-based solutions (NBS) are increasingly being promoted because they can solve different pursued aims together with providing an additional array of multiple ecosystem services or co-benefits. Nevertheless, their implementation is still being curbed by several barriers, for example, a lack of examples, a lack of finance, and a lack of business cases. Therefore, there is an urgent need to facilitate the construction of business models and business cases that identify the elements required to capture value. These are necessary to catalyze investments for the implementation of NBS. This article presents a tool called a Natural Assurance Schemes (NAS) canvas and explains how it can be applied to identify business models for NBS strategies providing climate adaptation services, showing an eye-shot summary of critical information to attract funding. The framework is applied in three case studies covering different contexts, scales, and climate-related risks (floods and droughts). Finally, a reflective analysis is done, comparing the tool with other similar approaches while highlighting the differential characteristics that define the usefulness, replicability, and flexibility of the tool for the target users, namely policymakers, developers, scientists, or entrepreneurs aiming to promote and implement NAS and NBS projects.
C1 [Mayor, Beatriz; Zorrilla-Miras, Pedro; Lopez-Gunn, Elena] I CATALIST SL, Madrid 28232, Spain.
   [Le Coent, Philippe] Univ Montpellier, BGRM, F-34000 Montpellier, France.
   [Biffin, Thomas; Dartee, Kieran; Pena, Karina] Field Factors, NL-2628 CS Delft, Netherlands.
   [Graveline, Nina] INRAE, F-34000 Montpellier, France.
   [Marchal, Roxane] Caisse Cent Reassurance, F-75008 Paris, France.
   [Nanu, Florentina] Business Dev Grp, Bucharest 10638, Romania.
   [Scrieciu, Albert] Geoecomar, Bucharest 030167, Romania.
   [Calatrava, Javier] Univ Politecn Cartagena, Dept Business Econ, Cartagena 30202, Spain.
   [Manzano, Marisol] Univ Politecn Cartagena, Dept Min & Civil Engn, Cartagena 30202, Spain.
C3 Universite de Montpellier; INRAE; National Institute of Marine Geology &
   Geoecology of Romania (GeoEcoMar); Universidad Politecnica de Cartagena;
   Universidad Politecnica de Cartagena
RP Mayor, B (corresponding author), I CATALIST SL, Madrid 28232, Spain.
EM bmayor@icatalist.eu; pzorillamiras@icatalist.eu; p.lecoent@brgm.fr;
   thomas@fieldfactors.com; kieran@fieldfactors.com; kp@fieldfactors.com;
   nina.graveline@inra.fr; rmarchal@ccr.fr; florentina.nanu@bdgroup.ro;
   albert.scrieciu@geoecomar.ro; j.calatrava@upct.es;
   marisol.manzano@upct.es; elopopezgunn@icatalist.eu
RI LE COENT, Philippe/AAJ-7824-2020; Albert, Scrieciu/AAD-8193-2021;
   Graveline, Nina/AAG-5114-2020; Calatrava, Javier/G-3880-2011
OI Marchal, Roxane/0000-0002-1389-5611; Manzano,
   Marisol/0000-0001-9732-6549; LE COENT, Philippe/0000-0003-3694-3628;
   Graveline, Nina/0000-0002-7976-0007; Scrieciu,
   Albert/0000-0001-6297-8635; Calatrava, Javier/0000-0003-1165-7908;
   Mayor, Beatriz/0000-0002-6649-8097
FU H2020 project Nature Insurance value: Assessment and Demonstration-NAIAD
   [Nffi730497]; European Commission
FX This research received funding from the H2020 project Nature Insurance
   value: Assessment and Demonstration-NAIAD, grant agreement Nffi730497
   from the European Commission.
CR [Anonymous], 2014, Progress and challenges in disaster risk reduction: A contribution towards the development of policy indicators for the Post-2015 Framework on Disaster Risk Reduction
   [Anonymous], 2019, World Economic Forum Global Risks Report (2019): 14th Edition
   [Anonymous], Report of the High Level Panel on the Free Movement of Persons, chaired by Mrs. Simone Veil, presented to the European Commission
   Arcadis, 2019, MKBA KLIMAATBESTENDI
   Baumgärtner S, 2007, NAT RESOUR MODEL, V20, P87, DOI 10.1111/j.1939-7445.2007.tb00202.x
   Beltramello A., 2013, Green Growth Papers, DOI DOI 10.1787/5K97GK40V3LN-EN
   Bervaes, 2004, RAPPORT 959
   Chrysoulakis N., 2019, ThinkNature Nature-Based Solutions Handbook, DOI 10.26225/jerv-w202
   Credit Suisse and McKinsey & Company, 2016, CONSERVATION FINANCE
   Dartee K., 2020, 22 EGU GEN ASS
   Denjean B, 2017, ENVIRON RES, V159, P24, DOI 10.1016/j.envres.2017.07.006
   EDF & Business and Meister Consultants Group, 2016, UNLOCKING PRIVATE CA
   EEA, 2016, FLOODPLAIN MANAGEMEN
   Egusquiza A., 2018, NATURE4CITIES DELIVE
   European Commission (EC), 2019, INVESTING NATURE FIN
   Graveline N., 2017, DELIVERABLE 4 1 GEN
   IBAN, 2016, PPPCANVAS SIMPLE TOO
   Joyce A, 2016, J CLEAN PROD, V135, P1474, DOI 10.1016/j.jclepro.2016.06.067
   Le Coent P., 2019, DELIVERABLE D6 3 DEM
   Lopez-Gunn E., 2020, DELIVERABLE 7 3 HDB
   Maciulyte E., 2020, Public Procurement of Nature Based Solutions Addressing Barriers to the Procurement of Urban NBS: Case Studies and Recommendations
   Maiulyt E., 2019, UNALAB PROJECT GRANT
   McQuaid Siobhan, 2019, NATURE BASED SOLUTIO
   Moro A, 2018, TRANSPORT RES D-TR E, V64, P5, DOI 10.1016/j.trd.2017.07.012
   Naturvation, 2019, EU HORIZON 2020 NATU
   Osterwalder A., 2010, BUSINESS MODEL GENER
   Polzin F., 2017, DELIVERABLE 1 3 PART
   The Nature Conservancy, 2019, STRATEGIES OPERATION
   The Nature Conservancy & MITECO, 2019, SOLUCIONES BASADAS N
   Toxopeus, 2019, EU HORIZON 2020 NATU
   Tyllianakis E., 2019, DELIVERABLE D7 3NBS
   Vewin, 2017, DUTCH DRINKING WATER
   WEF, 2019, WATER CRISES ARE TOP
NR 33
TC 4
Z9 4
U1 4
U2 23
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 3
AR 1291
DI 10.3390/su13031291
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QD6IM
UT WOS:000615619300001
OA gold, Green Published
DA 2025-01-10
ER

PT C
AU Abraham, Y
   Saba, N
AF Abraham, Yezioro
   Saba, Nicola
BE Ng, E
   Fong, S
   Ren, C
TI The International Style in Israel. Spatial Comfort Performance of
   Residential Buildings in Tel-Aviv on the 1930's
SO SMART AND HEALTHY WITHIN THE TWO-DEGREE LIMIT (PLEA 2018), VOL 1
LA English
DT Proceedings Paper
CT 34th International Conference on Passive and Low Energy Architecture
   (PLEA) - Smart and Healthy Within the Two-Degree Limit
CY DEC 10-12, 2018
CL Hong Kong, HONG KONG
SP Chinese Univ Hong Kong, Inst Future Cities, Chinese Univ Hong Kong, Inst Energy Environm & Sustainabil
DE Thermal Comfort; Adaptive Thermal Maps; the International style
AB In 1930's, the Jewish modernist architects, who travelled to Europe to study returned to the country. They discussed the influence of local climate on the building design. The climatic adaptation of these buildings was based merely on the Architecture itself. Environmental aspects, such as natural ventilation and shading, were a significant part in the architectural discourse and practice. The solutions provided sometimes were based on research and sometimes on common sense. Despite the efforts, these solutions have been never properly evaluated to confirm if they are indeed performing as expected. Lack of strict testing has been due to the absence of methods and tools to carry out these tests, especially spatial tools. However, today we can assess the thermal performance of the building by using novel computer models, and presenting the results on the space itself through spatial maps. This study will focus on the climatic performance of residential buildings in the 1930's, which were built in Tel-Aviv in the International style. It will examine these buildings in terms of their ability to achieve thermal comfort. It will also question the intentions of the architects and the effectiveness of their architectural solutions in order to maintain comfortable conditions in the buildings.
C1 [Abraham, Yezioro; Saba, Nicola] Technion Israel Inst Technol, Fac Architecture & Town Planning, Haifa, Israel.
C3 Technion Israel Institute of Technology
RP Abraham, Y (corresponding author), Technion Israel Inst Technol, Fac Architecture & Town Planning, Haifa, Israel.
FU Technion -Israel Institute of Technology
FX Thanks to the Technion -Israel Institute of Technology and to the PBC
   program for outstanding master students from minority groups for the
   scholarship.
CR Adler L., 1934, BUILDING NEAR E, P11
   Aleksandrowicz O., 2015, THESIS
   ASHRAE, 2004, Thermal environmental conditions for human occupancy, P4723
   Bar Or A., 2012, ENGEL HOUSE DOCUMENT
   BBSR, 2015, TEL AV WHIT CIT MOD
   Betser A., 1984, APARTMENT HOUSES TEL
   Eyal T., 2014, PREDOCUMENTATION FIL
   Kallus Rachel., 1997, PLAN PERSPECT, V12, P281, DOI DOI 10.1080/026654397364663
   Mackey C., 2015, Pan Climatic Humans: Shaping Thermal Habits in an Unconditioned Society
   MetzgerSzmuk Nina, 1994, Houses from the Sand: International Style Architecture in Tel Aviv
   Nicol F, 2012, ADAPTIVE THERMAL COMFORT: PRINCIPLES AND PRACTICE, P1
   Roudsari MS, 2013, BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, P3128
   Sharon a., 1937, BUILDING J ARCHITECT, P1
   Webb AmandaLaurel., 2012, Mapping comfort: an analysis method for understanding diversity in the thermal environment
NR 14
TC 0
Z9 0
U1 0
U2 0
PU CHINESE UNIV HONG KONG, SCH ARCHITECTURE
PI SHATIN
PA LEE SHAU KEE ARCHITECTURE BUILDING, SHATIN, HONG KONG
BN 978-962-8272-36-5
PY 2018
BP 31
EP 37
PG 7
WC Architecture; Green & Sustainable Science & Technology
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Architecture; Science & Technology - Other Topics
GA BQ5ZG
UT WOS:000609754400006
DA 2025-01-10
ER

PT J
AU Oláh, AB
AF Olah, A. B.
TI THE POSSIBILITIES OF DECREASING THE URBAN HEAT ISLAND
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
LA English
DT Article
DE urban heat island; urban climate; climate adaptation; urban green system
ID TEMPERATURE; CITY
AB The urban heat island phenomenon is one of the greatest challenges of the present days regarding the sustainability of our cities and settlements. A great amount of research has already been completed considering the urban heat island, with a significant part of them based on the utilization of remote sensing. The results show that in the case of the densely built-up areas of Hungary the maximal intensity of the urban heat island can be experienced in the industrial areas and in the extremely densely built-up zones, while water bodies and surfaces covered by vegetation proved to be the coolest zones under all circumstances. Thus, according to the results only water and green surfaces are capable of effectively reducing the urban heat island. Firstly, urban green surfaces and water bodies must be created to become capable of decreasing the urban heat island to the maximal extent. Secondly, it is possible to maximize the rate of green and water coverage within settlements only with the tools of urban planning. Thus it is essential in the case of urban planning to implement the existing regulation tools to prevent or minimize the further intensifying of the urban heat island.
C1 Corvinus Univ Budapest, Dept Garden & Open Space Design, H-1118 Budapest, Hungary.
C3 Corvinus University Budapest
RP Oláh, AB (corresponding author), Corvinus Univ Budapest, Dept Garden & Open Space Design, Villanyi Ut 29-43, H-1118 Budapest, Hungary.
EM olah.andras.bela@gmail.com
FU  [TAMOP-4.2.1/B-09/01/KMR-2010-0005]
FX This paper was supported by the TAMOP-4.2.1/B-09/01/KMR-2010-0005
   project.
CR [Anonymous], 1818, CLIMATE LONDON DEDUC
   [Anonymous], THESIS
   Bartholy J, 2009, APPL ECOL ENV RES, V7, P229, DOI 10.15666/aeer/0703_229240
   Bartholy J., 2007, APPL ECOL ENV RES, V5, P1
   Dezso Zs, 2009, THESIS ELTE BUDAPEST
   Dobi I., 2009, ICUC 7 INT C URB CLI
   Gábor P, 2009, APPL ECOL ENV RES, V7, P241, DOI 10.15666/aeer/0703_241251
   Gal T., 2009, THESIS U SZEGED
   Jung Andras, 2007, Applied Ecology and Environmental Research, V5, P165
   LEE HY, 1993, ATMOS ENVIRON B-URB, V27, P1, DOI 10.1016/0957-1272(93)90041-4
   Mika J., 1999, EGHAJLATI AGROMETEOR, V6, P69
   MORENOGARCIA MC, 1994, INT J CLIMATOL, V14, P705, DOI 10.1002/joc.3370140609
   National Aeronautics and Space Administration, 1999, SCI WRIT GUID TERR
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Oke TR, 1999, ATMOS ENVIRON, V33, P3919, DOI 10.1016/S1352-2310(99)00134-X
   Olah A.B., 2010, INT C LANDSC EC BRN
   Olah A.B., 2011, 7 C ENV STUD CARP BA
   Olah A.B., 2010, 9 INT C APPL NAT TEC
   Olah A.B., 2010, P FAB C LANDSC GREEN
   Pongracz R., 2007, INT SCI C POL DETV S
   Probald F, 1974, BUDAPEST VAROSKLIMAJ
   Révész A, 2008, APPL ECOL ENV RES, V6, P85, DOI 10.15666/aeer/0604_085100
   Rosenfeld AH, 1997, TECHNOL REV, V100, P52
   Szegedi S., 2009, Acta Climatol Chorol Univ Szegediensis, V42-43, P151
NR 24
TC 34
Z9 35
U1 8
U2 136
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 2012
VL 10
IS 2
BP 173
EP 183
DI 10.15666/aeer/1002_173183
PG 11
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 995NL
UT WOS:000308015900005
OA Bronze
DA 2025-01-10
ER

PT J
AU White, CR
   Blackburn, TM
   Martin, GR
   Butler, PJ
AF White, Craig R.
   Blackburn, Tim M.
   Martin, Graham R.
   Butler, Patrick J.
TI Basal metabolic rate of birds is associated with habitat temperature and
   precipitation, not primary productivity
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE allometry; temperature; basal metabolic rate; productivity;
   precipitation; aridity
ID EVAPORATIVE WATER-LOSS; SEASONAL ACCLIMATIZATION; PHYLOGENETIC ANALYSIS;
   GEOGRAPHIC-VARIATION; CLIMATIC ADAPTATION; HOUSE FINCHES; BODY-MASS;
   ALLOMETRY; INFORMATION; PLASTICITY
AB A classic example of ecophysiological adaptation is the observation that animals from hot arid environments have lower basal metabolic rates ( BMRs, ml O-2 min(-1)) than those from non-arid ( luxuriant) ones. However, the term 'arid' conceals within it a multitude of characteristics including extreme ambient temperatures ( Ta, degrees C) and low annual net primary productivities ( NPPs, g C m(-2)), both of which have been shown to correlate with BMR. To assess the relationship between environmental characteristics and metabolic rate in birds, we collated BMR measurements for 92 populations representing 90 wild-caught species and examined the relationships between BMR and NPP, T-a, annual temperature range ( T-r), precipitation and intra-annual coefficient of variation of precipitation ( P-CV). Using conventional non-phylogenetic and phylogenetic generalized least-squares approaches, we found no support for a relationship between BMR and NPP, despite including species captured throughout the world in environments spanning a 35-fold range in NPP. Instead, BMR was negatively associated with T-a and T-r, and positively associated with P-CV.
C1 Univ Birmingham, Sch Biosci, Ctr Ornithol, Birmingham B15 2TT, W Midlands, England.
C3 University of Birmingham
RP White, CR (corresponding author), Univ Birmingham, Sch Biosci, Ctr Ornithol, Birmingham B15 2TT, W Midlands, England.
EM c.r.white@bham.ac.uk
RI Blackburn, Tim/AAC-3144-2019; White, Craig/F-9062-2010
OI White, Craig/0000-0002-0200-2187
CR [Anonymous], 1990, Distribution and Taxonomy of Birds of the World
   [Anonymous], 1991, Oxford Series in Ecology Evolution
   Blomberg SP, 2003, EVOLUTION, V57, P717, DOI 10.1111/j.0014-3820.2003.tb00285.x
   Broggi J, 2004, J ANIM ECOL, V73, P967, DOI 10.1111/j.0021-8790.2004.00872.x
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Burnham KP, 2001, WILDLIFE RES, V28, P111, DOI 10.1071/WR99107
   COOPER SJ, 1994, CONDOR, V96, P638, DOI 10.2307/1369467
   Cramer W, 1999, GLOBAL CHANGE BIOL, V5, P1, DOI 10.1046/j.1365-2486.1999.00009.x
   DAWSON WR, 1985, CONDOR, V87, P424, DOI 10.2307/1367228
   DAWSON WR, 1983, PHYSIOL ZOOL, V56, P353, DOI 10.1086/physzool.56.3.30152600
   Dutenhoffer MS, 1996, PHYSIOL ZOOL, V69, P1232, DOI 10.1086/physzool.69.5.30164255
   ELLIS HI, 1984, SEABIRD ENERGETICS
   Frappell PB, 2004, PHYSIOL BIOCHEM ZOOL, V77, P865, DOI 10.1086/425191
   Freckleton RP, 2002, AM NAT, V160, P712, DOI 10.1086/343873
   GRAFEN A, 1989, PHILOS T R SOC B, V326, P119, DOI 10.1098/rstb.1989.0106
   HAILS CJ, 1983, CONDOR, V85, P61, DOI 10.2307/1367889
   Halsey LG, 2006, AM NAT, V167, P276, DOI 10.1086/499439
   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]
   Klaassen M, 2004, COMP BIOCHEM PHYS A, V137, P639, DOI 10.1016/j.cbpb.2003.12.004
   Liknes ET, 2002, CONDOR, V104, P548, DOI 10.1650/0010-5422(2002)104[0548:SAITAG]2.0.CO;2
   Lovegrove BG, 2005, J COMP PHYSIOL B, V175, P231, DOI 10.1007/s00360-005-0477-1
   Lovegrove BG, 2003, J COMP PHYSIOL B, V173, P87, DOI 10.1007/s00360-002-0309-5
   Lovegrove BG, 2000, AM NAT, V156, P201, DOI 10.1086/303383
   LOVEGROVE BG, 1986, OECOLOGIA, V69, P551, DOI 10.1007/BF00410361
   Martins EP, 1997, AM NAT, V149, P646, DOI 10.1086/286013
   McKechnie AE, 2004, J EXP BIOL, V207, P203, DOI 10.1242/jeb.00757
   McKechnie AE, 2004, PHYSIOL BIOCHEM ZOOL, V77, P502, DOI 10.1086/383511
   McKechnie AE, 2006, P ROY SOC B-BIOL SCI, V273, P931, DOI 10.1098/rspb.2005.3415
   McNab B.K., 2002, Physiological ecology of vertebrates: a view from energetics
   McNab BK, 1997, PHYSIOL ZOOL, V70, P718, DOI 10.1086/515881
   MCNAB BK, 1963, ECOL MONOGR, V33, P63, DOI 10.2307/1948477
   Merola-Zwartjes M, 2000, ECOLOGY, V81, P990, DOI 10.2307/177173
   Mueller P, 2001, P NATL ACAD SCI USA, V98, P12550, DOI 10.1073/pnas.221456698
   OConnor TP, 1996, CONDOR, V98, P371, DOI 10.2307/1369155
   Pagel M, 1999, NATURE, V401, P877, DOI 10.1038/44766
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Rezende EL, 2002, J EXP BIOL, V205, P101
   Rezende EL, 2004, EVOLUTION, V58, P1361
   Rohlf FJ, 2001, EVOLUTION, V55, P2143
   Sibley C.G., 1990, Phylogeny and classification of birds: a study in molecular evolution", P976
   Speakman JR, 2000, ADV ECOL RES, V30, P177
   Swanson DL, 2006, J EXP BIOL, V209, P466, DOI 10.1242/jeb.02024
   Tieleman BI, 2003, P ROY SOC B-BIOL SCI, V270, P207, DOI 10.1098/rspb.2002.2205
   Tieleman BI, 2000, PHYSIOL BIOCHEM ZOOL, V73, P461, DOI 10.1086/317740
   WASSER JS, 1986, CONDOR, V88, P57, DOI 10.2307/1367753
   WEATHERS WW, 1977, AUST J ZOOL, V25, P193, DOI 10.1071/ZO9770193
   WEATHERS WW, 1979, OECOLOGIA, V42, P81, DOI 10.1007/BF00347620
   White CR, 2004, PHYSIOL BIOCHEM ZOOL, V77, P929, DOI 10.1086/425186
   White CR, 2003, PHYSIOL BIOCHEM ZOOL, V76, P122, DOI 10.1086/367940
   Whittaker Robert J., 2003, P107
   Wikelski M, 2003, P ROY SOC B-BIOL SCI, V270, P2383, DOI 10.1098/rspb.2003.2500
   Williams JB, 2000, J EXP BIOL, V203, P3153
   Withers PC, 2006, PHYSIOL BIOCHEM ZOOL, V79, P437, DOI 10.1086/501063
NR 53
TC 130
Z9 143
U1 0
U2 48
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 2007
VL 274
IS 1607
BP 287
EP 293
DI 10.1098/rspb.2006.3727
PG 7
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 115WV
UT WOS:000242765400017
PM 17148258
OA Green Published
DA 2025-01-10
ER

PT J
AU Schiffer, M
   Carew, ME
   Hoffmann, AA
AF Schiffer, M
   Carew, ME
   Hoffmann, AA
TI Molecular, morphological and behavioural data reveal the presence of a
   cryptic species in the widely studied <i>Drosophila serrata</i> species
   complex
SO JOURNAL OF EVOLUTIONARY BIOLOGY
LA English
DT Article
DE Drosophila serrata; microsatellite; montium subgroup; ND5; sibling
   species
ID MATE RECOGNITION; DESICCATION RESISTANCE; MARGINAL POPULATIONS; RELATIVE
   FITNESS; ASYMMETRY; PHYLOGEOGRAPHY; ACCLIMATION; SELECTION; EVOLUTION;
   AUSTRALIA
AB The Drosophila serrata species complex from Australia and New Guinea has been widely used in evolutionary studies of speciation and climatic adaptation. It is believed to consist of D. serrata, D. birchii and D. dominicana, although knowledge of the latter is limited. Here we present evidence for a previously undescribed cryptic member of the D. serrata species complex. This new cryptic species is widespread in far north Queensland, Australia and is likely to have been previously mistaken for D. serrata. It shows complete reproductive isolation when crossed with both D. serrata and D. birchii. The cryptic species can be easily distinguished from D. serrata and D. birchii using either microsatellite loci or visual techniques. Although it occurs sympatrically with both D. serrata and D. birchii, it differs from these species in development time, viability, wing size and wing morphology. Its discovery explains patterns of recently described mitochondrial DNA divergence within D. serrata, and may also help to clarify some ambiguities evident in early evolutionary literature on reproductive incompatibility within the D. serrata species complex.
C1 La Trobe Univ, Ctr Environm Stress & Adaptat Res, Bundoora, Vic 3083, Australia.
C3 La Trobe University
RP Schiffer, M (corresponding author), La Trobe Univ, Ctr Environm Stress & Adaptat Res, Kingsbury Dr, Bundoora, Vic 3083, Australia.
EM m.schiffer@latrobe.edu.au
RI Hoffmann, Ary/C-2961-2011; Schiffer, Michele/AAN-1478-2020
OI Carew, Melissa/0000-0001-5833-6410; Hoffmann, Ary/0000-0001-9497-7645
CR AYALA FJ, 1965, GENETICS, V51, P527
   AYALA FJ, 1966, AM NAT, V100, P81, DOI 10.1086/282402
   AYALA FJ, 1965, EVOLUTION, V19, P538, DOI 10.1111/j.1558-5646.1965.tb03329.x
   AYALA FRANCISCO J., 1965, PACIFIC INSECTS, V7, P620
   Berrigan D, 1998, BIOL J LINN SOC, V64, P449, DOI 10.1006/bijl.1998.0232
   BIRCH LC, 1963, EVOLUTION, V17, P72, DOI 10.2307/2406336
   Blows MW, 1998, AM NAT, V152, P826, DOI 10.1086/286211
   Blows MW, 1998, AM NAT, V151, P538, DOI 10.1086/286139
   Blows MW, 2002, GENETICA, V116, P239, DOI 10.1023/A:1021276224566
   BLOWS MW, 1993, EVOLUTION, V47, P1271, DOI [10.2307/2409991, 10.1111/j.1558-5646.1993.tb02152.x]
   BOCK I R, 1977, Journal of the Australian Entomological Society, V16, P267
   Bock I.R., 1972, U TEXAS PUBL, V7, P1, DOI DOI 10.1590/S0085-56262014000400004
   BOCK IR, 1976, AUST J ZOOL, P1
   BOCK JK, 1982, PSYCHOL REV, V89, P1, DOI 10.1037/0033-295X.89.1.1
   Clancy DJ, 1997, AM NAT, V149, P975, DOI 10.1086/286033
   DOBZHANSKY T, 1961, EVOLUTION, V15, P461, DOI 10.2307/2406314
   Hallas R, 2002, GENET RES, V79, P141, DOI 10.1017/S0016672301005523
   Hercus MJ, 1999, GENETICS, V151, P1493
   Higgie M, 2000, SCIENCE, V290, P519, DOI 10.1126/science.290.5491.519
   Hoffman SL, 1997, NAT MED, V3, P80, DOI 10.1038/nm0197-80
   Hoffmann AA, 2002, EVOLUTION, V56, P1068, DOI 10.1111/j.0014-3820.2002.tb01418.x
   HOFFMANN AA, 1991, J INSECT PHYSIOL, V37, P757, DOI 10.1016/0022-1910(91)90110-L
   Jenkins NL, 2000, J EVOLUTION BIOL, V13, P113, DOI 10.1046/j.1420-9101.2000.00149.x
   JOSEPH L, 1994, AUST J ZOOL, V42, P385, DOI 10.1071/ZO9940385
   Kelemen L, 1999, EVOLUTION, V53, P1306, DOI [10.2307/2640835, 10.1111/j.1558-5646.1999.tb04545.x]
   Klingenberg CP, 2002, EVOLUTION, V56, P1909
   Klingenberg CP, 1998, EVOLUTION, V52, P1363, DOI [10.2307/2411306, 10.1111/j.1558-5646.1998.tb02018.x]
   Magiafoglou A, 2002, J EVOLUTION BIOL, V15, P763, DOI 10.1046/j.1420-9101.2002.00439.x
   MALLOCH J. R., 1927, PROC LINN SOC N S WALES, V52, P1
   MATHER W. B., 1955, AUSTRALIAN JOUR ZOOL, V3, P545, DOI 10.1071/ZO9550545
   MATHER WB, 1968, U QLD PAP DEP ZOOL, V3, P47
   MCEVEY SF, 1993, CAPE YORK PENINSULA, P155
   PISSIOS P, 1993, MOL BIOL EVOL, V10, P375
   RAYMOND M, 1995, J HERED, V86, P248, DOI 10.1093/oxfordjournals.jhered.a111573
   Spieth H.T., 1983, Genetics and Biology of Drosophila, V3c, P223
   THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4373
   van Klinken RD, 2002, AUST J ENTOMOL, V41, P236, DOI 10.1046/j.1440-6055.2002.t01-1-00303.x
   van Klinken RD, 2001, AUST J ENTOMOL, V40, P163, DOI 10.1046/j.1440-6055.2001.00221.x
NR 38
TC 34
Z9 34
U1 0
U2 14
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1010-061X
EI 1420-9101
J9 J EVOLUTION BIOL
JI J. Evol. Biol.
PD MAR
PY 2004
VL 17
IS 2
BP 430
EP 442
DI 10.1046/j.1420-9101.2003.00657.x
PG 13
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA 774NZ
UT WOS:000188990500021
PM 15009276
DA 2025-01-10
ER

PT J
AU Cierlik, G
   Tworek, S
   Makomaska-Juchiewicz, M
   Profus, P
AF Cierlik, G
   Tworek, S
   Makomaska-Juchiewicz, M
   Profus, P
TI Metabolic rates in passerine birds: Effects of adaptive strategies and
   taxonomy
SO EKOLOGIA-BRATISLAVA
LA English
DT Article
DE passerine birds; metabolic rates; functional adaptations; taxonomic
   affiliation; life strategy
ID EVAPORATIVE WATER-LOSS; DAILY ENERGY-EXPENDITURE; WHITE-CROWNED SPARROW;
   BODY-TEMPERATURE; CLIMATIC ADAPTATION; OXYGEN-CONSUMPTION;
   SEASONAL-VARIATION; SOLAR-RADIATION; NORTHERN BIRDS; ENERGETICS
AB The hypothesis that the metabolic rates of birds are convergent and depend on functional adaptations was tested as an alternative that taxonomic affiliations sufficiently account for variation in metabolism. Basal metabolic rates (BMR) of 122 species from six families (Corvidae, Emberizidae, Fringillidae, Muscicapidae, Nectariniidae, and Parulidae) of passerine birds were taken from literature and compared with data on their life history traits: food habits, climate, habitat, biotope, type of nest and migrations. Using factor analysis and clustering procedures different strategies were distinguished according to assortment of traits - food strategies: "nectarivorous", "insectivorous", "granivorous", "orrinivorous", environmental strategies: "terrestrial", "tropical", "boreal" and strategies based on analysis of food and remaining traits together: "group 1", "group 2", "group 3". These sets are only partly congruent with taxonomic classification. All groups demonstrate similar dependence of BMR on body weight but "granivorous" have a significantly higher BMR than "nectarivorous" and "tropical" has lower BMR than "terrestrial" and "boreal". In contrast, Fringillidae have significantly higher BMR than Muscicapidae, Ernberizidae, Nectariniidae and Parulidae. Analysis of residuals within ANCOVA for strategies and for families indicates that taxonomic affiliation exerts greater influence on BMR values than adaptive strategy.
C1 Polish Acad Sci, Inst Nat Conservat, PL-31120 Krakow, Poland.
C3 Polish Academy of Sciences
RP Polish Acad Sci, Inst Nat Conservat, Al Mickiewicza 33, PL-31120 Krakow, Poland.
EM biodiver@iop.krakow.pl
OI Profus, Piotr/0009-0006-6914-301X
CR AMBROSE SJ, 1988, COMP BIOCHEM PHYS A, V89, P79, DOI 10.1016/0300-9629(88)91142-5
   [Anonymous], 1984, Size, function and life history
   Aschoff J, 1970, J. Orn., Berl., V111, P38, DOI 10.1007/BF01668180
   BENNETT PM, 1987, J ZOOL, V213, P327, DOI 10.1111/j.1469-7998.1987.tb03708.x
   BIEBACH H, 1977, Journal fuer Ornithologie, V118, P294, DOI 10.1007/BF01643539
   BRYANT DM, 1988, IBIS, V130, P17, DOI 10.1111/j.1474-919X.1988.tb00952.x
   BUTTEMER WA, 1985, OECOLOGIA, V68, P126, DOI 10.1007/BF00379484
   CLEMANS RJ, 1974, CONDOR, V76, P358, DOI 10.2307/1366363
   Cooper SJ, 2000, CONDOR, V102, P635, DOI 10.1650/0010-5422(2000)102[0635:SEOMCA]2.0.CO;2
   DAWSON WILLIAM R., 1964, AUK, V81, P26
   DAWSON WR, 1976, J COMP PHYSIOL, V112, P317, DOI 10.1007/BF00692302
   DAWSON WR, 1985, CONDOR, V87, P424, DOI 10.2307/1367228
   DAWSON WR, 1970, INVERTEBRATED NONMAM, V1, P143
   DEJONG AA, 1976, CONDOR, V78, P174
   DOLNIK VR, 1974, EKOLOGIIA, V2, P56
   Elgar MA, 1987, FUNCT ECOL, V1, P25, DOI 10.2307/2389354
   ELLIS HI, 1980, PHYSIOL ZOOL, V53, P358, DOI 10.1086/physzool.53.4.30157874
   Gavrilov VM, 1996, ZH OBSHCH BIOL, V57, P326
   GAVRILOV VM, 1979, ZOOL ZH, V58, P530
   GAVRILOV VM, 1985, 18 INT ORN C MOSC, P1254
   GAVRILOV VM, 1985, 18 C INT ORN, P421
   GLUCK EE, 1985, IBIS, V127, P421, DOI 10.1111/j.1474-919X.1985.tb04838.x
   Gnaiger E., 1987, P7
   HAILS CJ, 1983, CONDOR, V85, P61, DOI 10.2307/1367889
   HAIM A, 1987, S AFR J SCI, V83, P639
   Harvey PH, 1987, FUNCT ECOL, V1, P160
   Harvey PH, 1991, COMP METHOD EVOLUTIO
   HINDS DS, 1973, PHYSIOL ZOOL, V46, P55, DOI 10.1086/physzool.46.1.30152517
   HUDSON JW, 1964, AM ZOOL, V4, P294
   KING JR, 1964, COMP BIOCHEM PHYSIOL, V12, P13, DOI 10.1016/0010-406X(64)90044-1
   KOTEJA P, 1993, OIKOS, V66, P505, DOI 10.2307/3544946
   KOTEJA P, 1991, FUNCT ECOL, V5, P56, DOI 10.2307/2389555
   LASIEWSKI RC, 1967, CONDOR, V69, P13, DOI 10.2307/1366368
   LUSTICK S, 1982, COMP BIOCHEM PHYS A, V72, P715, DOI 10.1016/0300-9629(82)90154-2
   MARDER J, 1973, COMP BIOCHEM PHYSIOL, V45, P421, DOI 10.1016/0300-9629(73)90449-0
   MAXWELL CS, 1976, CONDOR, V78, P569, DOI 10.2307/1367116
   McNab B.K., 1989, P335
   MCNAB B K, 1974, Ohio Journal of Science, V74, P370
   McNab BK, 1987, FUNCT ECOL, V1, P159
   MCNAB BK, 1988, OECOLOGIA, V77, P343, DOI 10.1007/BF00378040
   MISCH MS, 1960, PHYSIOL ZOOL, V30, P252
   MOLDENHA.RR, 1970, COMP BIOCHEM PHYSIOL, V36, P579, DOI 10.1016/0010-406X(70)91033-9
   MORENO J, 1989, AUK, V106, P18, DOI 10.2307/4087752
   MORONY IJ, 1975, REFERENCE LIST BIRDS
   NAGY KA, 1987, ECOL MONOGR, V57, P111, DOI 10.2307/1942620
   PAGEL MD, 1988, Q REV BIOL, V63, P413, DOI 10.1086/416027
   POHL H, 1971, IBIS, V113, P185, DOI 10.1111/j.1474-919X.1971.tb05143.x
   PRINZINGER R, 1975, Anzeiger der Ornithologischen Gesellschaft in Bayern, V14, P70
   PRINZINGER R, 1976, Anzeiger der Ornithologischen Gesellschaft in Bayern, V15, P1
   PRINZINGER R, 1989, COMP BIOCHEM PHYS A, V92, P393, DOI 10.1016/0300-9629(89)90581-1
   REINERTSEN RE, 1988, J ORNITHOL, V129, P433, DOI 10.1007/BF01644486
   REINERTSEN RE, 1986, J COMP PHYSIOL B, V156, P655, DOI 10.1007/BF00692743
   Reynolds PS, 1996, AM NAT, V147, P735, DOI 10.1086/285877
   Ricklefs RE, 1996, AM NAT, V147, P1047, DOI 10.1086/285892
   RISING JD, 1968, COMP BIOCHEM PHYSIOL, V25, P327, DOI 10.1016/0010-406X(68)90940-7
   Scott I, 1996, FUNCT ECOL, V10, P307, DOI 10.2307/2390277
   Stearns S.C., 1992, pi
   STEEN J, 1958, ECOLOGY, V39, P625, DOI 10.2307/1931602
   SWANSON DL, 1990, AUK, V107, P561
   SZARSKI H, 1983, J THEOR BIOL, V105, P201, DOI 10.1016/S0022-5193(83)80002-2
   TATNER P, 1986, AUK, V103, P169
   VEGHTE JAMES H., 1964, PHYSIOL ZOOL, V37, P316
   VLECK CM, 1979, CONDOR, V81, P89, DOI 10.2307/1367864
   WALLGREN HENRIK, 1954, ACTA ZOOL FENNICA, V84, P1
   Walsberg G.E., 1983, P161
   WEATHERS WW, 1980, COMP BIOCHEM PHYS A, V65, P235, DOI 10.1016/0300-9629(80)90231-5
   WEATHERS WW, 1981, PHYSIOL ZOOL, V54, P345, DOI 10.1086/physzool.54.3.30159949
   WEATHERS WW, 1979, OECOLOGIA, V42, P81, DOI 10.1007/BF00347620
   WEST GC, 1966, PHYSIOL ZOOL, V39, P171, DOI 10.1086/physzool.39.2.30152430
   WILLIAMS JB, 1981, COMP BIOCHEM PHYS A, V69, P783, DOI 10.1016/0300-9629(81)90172-9
   WILLIAMS JB, 1991, AUST J ZOOL, V39, P131, DOI 10.1071/ZO9910131
   WUNDER BA, 1976, CONDOR, V78, P564, DOI 10.2307/1367113
   YARBROUGH CG, 1971, COMP BIOCHEM PHYSIOL, V39, P235, DOI 10.1016/0300-9629(71)90082-X
NR 73
TC 0
Z9 0
U1 0
U2 16
PU DE GRUYTER POLAND SP Z O O
PI WARSAW
PA BOGUMILA ZUGA 32A STR, 01-811 WARSAW, MAZOVIA, POLAND
SN 1335-342X
EI 1337-947X
J9 EKOL BRATISLAVA
JI Ekol. Bratisl.
PY 2004
VL 23
IS 2
BP 207
EP 224
PG 18
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 869EH
UT WOS:000224965700009
DA 2025-01-10
ER

PT J
AU Li, YY
   Huang, Y
   Fan, JJ
   Zhang, HX
   Li, YC
   Wang, XM
   Deng, Q
AF Li, Yunyun
   Huang, Yi
   Fan, Jingjing
   Zhang, Hongxue
   Li, Yanchun
   Wang, Xuemei
   Deng, Qian
TI Meteorological and Hydrological Drought Risks under Future Climate and
   Land-Use-Change Scenarios in the Yellow River Basin
SO ATMOSPHERE
LA English
DT Article
DE meteorological drought; hydrological drought; drought risk prediction;
   future climate and land-use-change scenarios
ID INTEGRATED INDEX; PRECIPITATION; CHINA; MODEL; SIMULATION; PREDICTION
AB The primary innovation of this study lies in the development of an integrated modeling framework that combines downscaled climate projections, land-use-change simulations, and copula-based risk analysis. This framework allows for the assessment of localized sub-seasonal and seasonal drought hazards under future scenarios. The BCC-CSM1-1 climate model projections from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset are utilized to represent the future climate for 2025-2060 under RCP 4.5 and 8.5 scenarios. The CA-Markov model is employed to predict future land-use-change distributions. The climate-land use-drought modeling nexus enables the generation of refined spatio-temporal projections of meteorological and hydrological drought risks in the Yellow River Basin (YRB) in the future period of 2025-2060. The results highlight the increased vulnerability of the upper YRB to sub-seasonal meteorological droughts, as well as the heightened sub-seasonal hydrological drought risks in the Loess Plateau. Furthermore, downstream areas experience escalated seasonal hydrological drought exposure due to urbanization. By providing actionable insights into localized future drought patterns, this integrated assessment approach advances preparedness and climate adaptation strategies. The findings of the study enhance our understanding of potential changes in this integral system under the combined pressures of global climate change and land use shifts.
C1 [Li, Yunyun; Huang, Yi; Li, Yanchun; Wang, Xuemei; Deng, Qian] Mianyang Normal Univ, Ecol Secur & Protect Key Lab Sichuan Prov, Mianyang 621000, Peoples R China.
   [Fan, Jingjing] Hebei Univ Engn, Coll Water Resources & Hydropower, Handan 056038, Peoples R China.
   [Zhang, Hongxue] Northeast Agr Univ, Coll Water Conservancy & Civil Engn, Harbin 150030, Peoples R China.
C3 Mianyang Teachers' College; Hebei University of Engineering; Northeast
   Agricultural University - China
RP Li, YY (corresponding author), Mianyang Normal Univ, Ecol Secur & Protect Key Lab Sichuan Prov, Mianyang 621000, Peoples R China.; Zhang, HX (corresponding author), Northeast Agr Univ, Coll Water Conservancy & Civil Engn, Harbin 150030, Peoples R China.
EM liyunyun@mtc.edu.cn; 13018241926@163.com; fanjingjing@hebeu.edu.cn;
   hongxue@neau.edu.cn; 13440169382@163.com; wangxuemei13@mails.ucas.ac.cn;
   13548492076@163.com
RI jingjing, fan/ADC-3649-2022
FU National Natural Science Foundation of China
FX No Statement Available
CR Ali J, 2018, EARTH SYST ENVIRON, V2, P437, DOI 10.1007/s41748-018-0064-8
   [Anonymous], 2012, EM-DAT: Disasters in numbers
   Berberoglu S, 2016, LANDSCAPE URBAN PLAN, V153, P11, DOI 10.1016/j.landurbplan.2016.04.017
   Cammalleri C, 2016, HYDROL PROCESS, V30, P289, DOI 10.1002/hyp.10578
   Chang JX, 2016, J HYDROL, V540, P824, DOI 10.1016/j.jhydrol.2016.06.064
   Chen HP, 2015, J CLIMATE, V28, P5430, DOI 10.1175/JCLI-D-14-00707.1
   Dai M, 2020, AGR WATER MANAGE, V231, DOI 10.1016/j.agwat.2020.106003
   Das S, 2021, INT J CLIMATOL, V41, P5644, DOI 10.1002/joc.7145
   Dutra E, 2014, HYDROL EARTH SYST SC, V18, P2669, DOI 10.5194/hess-18-2669-2014
   EEA, 2012, Urban Adaptation to Climate Change in Europe: Challenges and Opportunities for Cities Together with Supportive National and European Policies
   Fuglsang M, 2013, ENVIRON MODELL SOFTW, V50, P1, DOI 10.1016/j.envsoft.2013.08.003
   Ghosh Pramit, 2017, Remote Sensing Applications: Society and Environment, V5, P64, DOI 10.1016/j.rsase.2017.01.005
   Gong WF, 2015, INT J APPL EARTH OBS, V34, P207, DOI 10.1016/j.jag.2014.07.005
   Guan DJ, 2011, ECOL MODEL, V222, P3761, DOI 10.1016/j.ecolmodel.2011.09.009
   Gupta HV, 1999, J HYDROL ENG, V4, P135, DOI 10.1061/(ASCE)1084-0699(1999)4:2(135)
   Halmy MWA, 2015, APPL GEOGR, V63, P101, DOI 10.1016/j.apgeog.2015.06.015
   Hao ZC, 2018, REV GEOPHYS, V56, P108, DOI 10.1002/2016RG000549
   Hoekema DJ, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009697
   Huang SZ, 2015, J HYDROL, V527, P608, DOI 10.1016/j.jhydrol.2015.05.032
   Ji GX, 2022, INT J CLIM CHANG STR, V14, P39, DOI 10.1108/IJCCSM-01-2021-0004
   Khan MI, 2018, METEOROL APPL, V25, P184, DOI 10.1002/met.1680
   Li BL, 2015, J HYDROL, V526, P78, DOI 10.1016/j.jhydrol.2014.09.027
   Li YY, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124794
   Li YY, 2019, HYDROL RES, V50, P244, DOI 10.2166/nh.2018.006
   Li YP, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba926
   Liu Y, 2023, J ENVIRON MANAGE, V333, DOI 10.1016/j.jenvman.2023.117460
   Ma MW, 2016, STOCH ENV RES RISK A, V30, P1401, DOI 10.1007/s00477-015-1136-z
   Maneechot L, 2023, ENVIRON SCI POLLUT R, V30, P102531, DOI 10.1007/s11356-023-29572-9
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Ottosen CB, 2018, GROUND WATER MONIT R, V38, P66, DOI 10.1111/gwmr.12253
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Peterson TC, 2013, B AM METEOROL SOC, V94, pS1, DOI 10.1175/BAMS-D-13-00085.1
   Seager R, 2015, J CLIMATE, V28, P6997, DOI 10.1175/JCLI-D-14-00860.1
   Shahid S, 2010, WATER RESOUR MANAG, V24, P1989, DOI 10.1007/s11269-009-9534-y
   Shaw B, 2023, THEOR APPL CLIMATOL, V153, P475, DOI 10.1007/s00704-023-04478-1
   She DX, 2018, WATER RESOUR MANAG, V32, P547, DOI 10.1007/s11269-017-1826-z
   Singh S, 2019, SCI TOTAL ENVIRON, V697, DOI 10.1016/j.scitotenv.2019.134163
   Song MW, 2023, NAT HAZARDS, V116, P1863, DOI 10.1007/s11069-022-05745-6
   Svensson C, 2017, WATER RESOUR RES, V53, P999, DOI 10.1002/2016WR019276
   Tsakiris G., 2005, European Water, V9/10, P3
   Ullah H, 2023, ENVIRON MODEL ASSESS, V28, P447, DOI 10.1007/s10666-023-09880-7
   Usman M, 2022, WATER-SUI, V14, DOI 10.3390/w14081260
   Vicente-Serrano SM, 2015, J HYDROL, V526, P42, DOI 10.1016/j.jhydrol.2014.11.025
   Wang DB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009845
   Wang F, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124751
   Wang F, 2019, WATER-SUI, V11, DOI 10.3390/w11061298
   Wang HY, 2018, SCI TOTAL ENVIRON, V612, P347, DOI 10.1016/j.scitotenv.2017.08.212
   Wang L, 2022, WATER-SUI, V14, DOI 10.3390/w14121896
   Wang S.W., 2021, Environ. Challenges, V2, DOI [DOI 10.1016/J.ENVC.2020.100017, 10.1016/j.envc.2020.100017]
   Weng QH, 2002, J ENVIRON MANAGE, V64, P273, DOI 10.1006/jema.2001.0509
   Weslati O, 2023, J INDIAN SOC REMOTE, V51, P9, DOI 10.1007/s12524-022-01618-4
   Wong G, 2013, HYDROLOG SCI J, V58, P253, DOI 10.1080/02626667.2012.753147
   Wu Y, 2020, CLIM DYNAM, V55, P2615, DOI 10.1007/s00382-020-05404-1
   Xiong YJ, 2019, J METEOROL RES-PRC, V33, P149, DOI 10.1007/s13351-019-8043-z
   Yang J, 2018, J HYDROL, V557, P651, DOI 10.1016/j.jhydrol.2017.12.055
   Yevjevich VM, 1967, HYDROLOGY PAPERS COL, V23
   Yu J, 2021, KSCE J CIV ENG, V25, P1901, DOI 10.1007/s12205-021-0922-z
   Zarch MAA, 2015, J HYDROL, V526, P183, DOI 10.1016/j.jhydrol.2014.09.071
   Zhang DD, 2015, NAT HAZARDS, V75, P2199, DOI 10.1007/s11069-014-1419-6
   Zhang T, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128472
   Zhang XR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114341
   Zhu YL, 2016, HYDROL RES, V47, P454, DOI 10.2166/nh.2015.287
NR 64
TC 2
Z9 2
U1 20
U2 41
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD NOV
PY 2023
VL 14
IS 11
AR 1599
DI 10.3390/atmos14111599
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AK2Y5
UT WOS:001118307100001
OA gold
DA 2025-01-10
ER

PT J
AU Dookie, DS
   Conway, D
   Dessai, S
AF Dookie, Denyse S.
   Conway, Declan
   Dessai, Suraje
TI Perspectives on climate information use in the Caribbean
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE climate information; resilience; Caribbean; barriers and enabling
   factors; local perceptions
ID DISASTER RISK REDUCTION; ISLAND DEVELOPING STATES; CHANGE ADAPTATION;
   KNOWLEDGE NETWORKS; SERVICES; VULNERABILITY; INSIGHTS; ORGANIZATIONS;
   PERCEPTIONS; USABILITY
AB Within research on climate information for decision-making, localized insights on the influences of climate information use remain limited in small and low-income countries. This paper offers an empirical contribution on Caribbean perspectives of climate information use considering current barriers and enablers in the region. We employ thematic analysis of 26 semi-structured interviews with region-focused sectoral experts (including end-users and decision-makers) drawn from climate adaptation, disaster risk reduction, and resilience focused initiatives and institutions. The results reaffirm presence of known barriers, such as the crucial role of finance, but notably we identify a range of interlinked enabling and catalyzing conditions necessary for the effective use of climate information. These conditions include the need for island- and sector- contextualized climate information, the role of international donors, the importance of adequate human resource capacity and presence of loud voices/climate champions, as well as the need for effective political and legislative mandates and for greater co-production. We construct a visualization of respondents' understanding of influencing factor interrelationships. This shows how their heuristics of climate information use for decision-making intricately link with roles for proactive climate champions, and that available finance often reflects donor interests. We end by discussing how these insights can contribute to strategies for more effective climate information use to promote resilience within the region.
C1 [Dookie, Denyse S.; Conway, Declan] London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.
   [Dookie, Denyse S.; Conway, Declan; Dessai, Suraje] Econ & Social Res Council Ctr Climate Change Econ, London, England.
   [Dessai, Suraje] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, England.
C3 University of London; London School Economics & Political Science;
   University of Leeds
RP Dookie, DS (corresponding author), London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.; Dookie, DS (corresponding author), Econ & Social Res Council Ctr Climate Change Econ, London, England.
EM d.dookie@lse.ac.uk
RI Dessai, Suraje/D-4219-2009; Conway, Declan/HCH-7778-2022
OI Dookie, Denyse/0000-0003-2702-1576; Conway, Declan/0000-0002-4590-6733
FU ESRC [ES/R009708/1] Funding Source: UKRI
CR Adams W. C., 2015, HDB PRACTICAL PROGRA, P535
   [Anonymous], 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P2539, DOI [10.1017/9781009325844.026, DOI 10.1017/9781009325844.026]
   [Anonymous], 2013, Climate Adaptation Futures, DOI DOI 10.1002/9781118529577.CH33
   [Anonymous], 2007, Vulnerability and Adaptation to Climate Change in Small Island Developing States - Background Paper for the Expert Meeting on Adaptation for Small Island Developing States
   [Anonymous], 2011, . World Meteorological Organization Project, Personal communication
   Archibald MM, 2019, INT J QUAL METH, V18, DOI 10.1177/1609406919874596
   Barnett J, 2002, CLIM POLICY, V2, P231, DOI 10.1016/S1469-3062(02)00023-2
   Begum R A., 2022, Climate Change 2022: Impacts, Adapta_on, and Vulnerability, P121, DOI [10.1017/9781009325844.003, DOI 10.1017/9781009325844.003, 10. 1017/9781009325844.003]
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Birch T., 2011, 4 IIED, V4, P17087
   Bishop ML, 2012, J DEV STUD, V48, P1536, DOI 10.1080/00220388.2012.693166
   Blicharska M, 2017, NAT CLIM CHANGE, V7, P21, DOI 10.1038/NCLIMATE3163
   Bremer S, 2019, CLIM SERV, V13, P42, DOI 10.1016/j.cliser.2019.01.003
   BRIGUGLIO L, 1995, WORLD DEV, V23, P1615, DOI 10.1016/0305-750X(95)00065-K
   Brugger J, 2016, B AM METEOROL SOC, V97, DOI 10.1175/BAMS-D-14-00289.1
   Bush M.J., 2018, CLIMATE CHANGE ADAPT
   Campbell JD, 2011, INT J CLIMATOL, V31, P1866, DOI 10.1002/joc.2200
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   CDB, 2020, CAR DEV BANK BARB
   CIMH, 2018, DEV EARL WARM INF SY
   Commonwealth Secretariat, 2021, SMALL STAT
   CREWS UNISDR WMO GFDRR World Bank Group., 2019, STRENGTH HYDR EARL W
   Debels P, 2017, ENVIRON DEV, V22, P191, DOI 10.1016/j.envdev.2016.10.004
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dinku T., 2011, IMPROVING AVAILABILI
   Dookie D. S., 2021, SSRN ELECT J, P1, DOI [10.2139/ssrn.3759941, DOI 10.2139/SSRN.3759941]
   Dookie D. S., 2021, SMALL ISLAND DEVELOP, P81, DOI [10.1007/978-3-030-82774-8_5, DOI 10.1007/978-3-030-82774-8_5]
   Dookie DS, 2019, STRENGTHENING DISAST, P13
   ECLAC, 2011, UN EC COMM LAT AM CA
   Enenkel M, 2022, B AM METEOROL SOC, V103, pE1088, DOI 10.1175/BAMS-D-20-0263.1
   Flood S., 2022, RESIL, DOI [10.1007/978-3-030-80791-7, DOI 10.1007/978-3-030-99063-3_17]
   GCA, 2019, press release
   Gerlak AK, 2018, WEATHER CLIM SOC, V10, P225, DOI 10.1175/WCAS-D-17-0029.1
   Giannini A, 2000, J CLIMATE, V13, P297, DOI 10.1175/1520-0442(2000)013<0297:IVOCRE>2.0.CO;2
   Giordono L, 2020, POLICY SCI, V53, P609, DOI 10.1007/s11077-020-09401-3
   Goddard L, 2010, PROCEDIA ENVIRON SCI, V1, P81, DOI 10.1016/j.proenv.2010.09.007
   Graveline MH, 2022, INT J DISAST RISK SC, V13, P330, DOI 10.1007/s13753-022-00419-0
   Guido Z, 2020, CLIM DEV, V12, P395, DOI 10.1080/17565529.2019.1630352
   Guido Z, 2016, WEATHER CLIM SOC, V8, P285, DOI 10.1175/WCAS-D-15-0076.1
   Hahn U, 2016, TOP COGN SCI, V8, P180, DOI 10.1111/tops.12173
   Hallegatte S., 2015, The indirect cost of natural disasters and an economic definition of macroeconomic resilience
   Harvey B, 2021, FRONT CLIM, V2, DOI 10.3389/fclim.2020.589282
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   Hochrainer Stefan., 2009, World Bank Policy Research Working Paper
   Hsiang SM, 2014, NATL BUREAU EC RES W, V20352, P1
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Islam S, 2020, CLIM DEV, V12, P255, DOI 10.1080/17565529.2019.1613217
   Jones L, 2018, REG ENVIRON CHANGE, V18, P297, DOI 10.1007/s10113-017-1254-x
   Jones L, 2017, CLIM POLICY, V17, P551, DOI 10.1080/14693062.2016.1191008
   Jones L, 2015, NAT CLIM CHANGE, V5, P812, DOI 10.1038/nclimate2701
   Kahan D., 2011, The Supreme Court 2010 Term - Foreward: Neutral Principles, Motivated Cognition, and some Problems for Constitutional Law, P1, DOI DOI 10.2139/SSRN.1871503
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Karmalkar AV, 2013, ATMOSFERA, V26, P283, DOI 10.1016/S0187-6236(13)71076-2
   Kelman I., 2017, ROUTLEDGE HDB DISAST
   Kelman I, 2017, DISASTER PREV MANAG, V26, P254, DOI 10.1108/DPM-02-2017-0043
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Kiger ME, 2020, MED TEACH, V42, P846, DOI 10.1080/0142159X.2020.1755030
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P1, DOI 10.1016/j.crm.2015.06.002
   Kirchhoff CJ, 2013, CLIMATIC CHANGE, V119, P495, DOI 10.1007/s10584-013-0703-x
   Knapp CN, 2013, GLOBAL ENVIRON CHANG, V23, P1296, DOI 10.1016/j.gloenvcha.2013.07.007
   Krueger R.A., 2015, HDB PRACTICAL PROGRA, P506, DOI [10.1002/9781119171386.ch20, DOI 10.1002/9781119171386.CH20]
   Lahsen M., 2016, The Social Construction of Climate Change: Power, Knowledge, Norms, Discourses, P197
   Laing A., 2021, I CLIMATE ATMOSPHERI
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lourenço TC, 2016, NAT CLIM CHANGE, V6, P13, DOI 10.1038/nclimate2836
   MAHON R., 2018, Social and Economic Studies, P239
   Mahon R, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100262
   Mahon R, 2019, CLIM SERV, V13, P14, DOI 10.1016/j.cliser.2019.01.002
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Mason S., 2015, Accessing and using climate data and information in fragile, data-poor states
   Matthews L, 2021, CURR ISSUES TOUR, V24, P1576, DOI 10.1080/13683500.2020.1816928
   Mercer J, 2014, DISASTERS, V38, P690, DOI 10.1111/disa.12082
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Mycoo M., 2022, Climate Change 2022: Impacts, P2043, DOI DOI 10.1017/9781009325844.017
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100292
   Nemakonde LD, 2023, RISK HAZARDS CRISIS, V14, P6, DOI 10.1002/rhc3.12246
   Nissan H, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.579
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Orlove B, 2020, ANNU REV ENV RESOUR, V45, P271, DOI 10.1146/annurev-environ-012320-085130
   Ouédraogo M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030611
   Pasgaard M, 2013, GLOBAL ENVIRON CHANG, V23, P1684, DOI 10.1016/j.gloenvcha.2013.08.013
   Pasgaard M, 2015, GLOBAL ENVIRON CHANG, V35, P279, DOI 10.1016/j.gloenvcha.2015.09.018
   Pelling M., 2001, Environmental Hazards, V3, P49
   Pelling M.A.z., 2002, Progress in Development Studies, V2, P283, DOI [10.1191/1464993402ps042ra, DOI 10.1191/1464993402PS042RA]
   Petzold J, 2019, CLIMATIC CHANGE, V152, P145, DOI 10.1007/s10584-018-2363-3
   Porter JJ, 2017, ENVIRON SCI POLICY, V77, P9, DOI 10.1016/j.envsci.2017.07.004
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   Pulwarty RS, 2010, ENVIRONMENT, V52, P16, DOI 10.1080/00139157.2010.522460
   Rajabi E, 2022, DISASTER MED PUBLIC, V16, P1623, DOI 10.1017/dmp.2021.194
   Ranasinghe R., 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, P1767, DOI [DOI 10.1017/9781009157896.014, 10.1017/9781009157896.014]
   Rasmussen T., 2004, IMF Working Paper, DOI DOI 10.5089/9781451875355.001
   Rhiney K, 2015, GEOGR COMPASS, V9, P97, DOI 10.1111/gec3.12199
   Robinson R.S., 2014, Encyclopedia of Quality of Life and Well-Being Research, DOI [10.1007/978-94-007-0753-5_2337, DOI 10.1007/978-94-007-0753-5_2337]
   Robinson SA, 2018, ISL STUD J, V13, P79, DOI 10.24043/isj.59
   Robinson SA, 2017, REG ENVIRON CHANGE, V17, P989, DOI 10.1007/s10113-016-0991-6
   Robinson SA, 2017, MITIG ADAPT STRAT GL, V22, P669, DOI 10.1007/s11027-015-9693-5
   Rosenberg J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104269
   Ryan D, 2019, CLIM POLICY, V19, P1297, DOI 10.1080/14693062.2019.1661819
   Saunders B, 2018, QUAL QUANT, V52, P1893, DOI 10.1007/s11135-017-0574-8
   Saxena A, 2018, ENVIRON SCI POLICY, V80, P152, DOI 10.1016/j.envsci.2017.11.001
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Skelton M., 2018, SUSTAINABILITY RES I
   Skelton M, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100113
   Soares MB, 2018, CLIM SERV, V9, P5, DOI 10.1016/j.cliser.2017.06.001
   Soares MB, 2016, CLIMATIC CHANGE, V137, P89, DOI 10.1007/s10584-016-1671-8
   Stephenson TS, 2014, INT J CLIMATOL, V34, P2957, DOI 10.1002/joc.3889
   Stewart-Ibarra AM, 2019, PLOS NEGLECT TROP D, V13, DOI 10.1371/journal.pntd.0007772
   Steynor A, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.782012
   Taylor M. A., 2016, CARIBBEAN STUD, V40, P169
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thomas A, 2020, ANNU REV ENV RESOUR, V45, P1, DOI 10.1146/annurev-environ-012320-083355
   Thomas A, 2019, REG ENVIRON CHANGE, V19, P2013, DOI 10.1007/s10113-019-01540-5
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   UNDRR (United Nations Office for Disaster Risk Reduction), 2023, TERM
   UNEP (United Nations Environment Programme), 2021, AD GAP REP 2020
   United Nations Framework Convention on Climate Change [UNFCCC], 2023, Introduction: Adaptation and Resilience
   UNOHRLLS, 2021, SMALL ISL DEV STAT
   Vaughan C, 2018, WEATHER CLIM SOC, V10, P373, DOI 10.1175/WCAS-D-17-0030.1
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vincent K, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100204
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   Weichselgartner J, 2019, WEATHER CLIM SOC, V11, P385, DOI 10.1175/WCAS-D-18-0087.1
   Wilkinson E., 2021, PREPARING EXTREME WE
   WMO, 2020, Statement on the State of the Global Climate
   WMO, 2007, WORLD METEOROLOGICAL
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
NR 134
TC 0
Z9 0
U1 0
U2 2
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD MAY 22
PY 2023
VL 5
AR 1022721
DI 10.3389/fclim.2023.1022721
PG 20
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA K8XH7
UT WOS:001019207700001
OA gold, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Szabó, K
   Gergely, A
   Tóth, B
   Szilágyi, K
AF Szabo, Krisztina
   Gergely, Attila
   Toth, Barnabas
   Szilagyi, Kinga
TI Assessing the Spontaneous Spread of Climate-Adapted Woody Plants in an
   Extensively Maintained Collection Garden
SO PLANTS-BASEL
LA English
DT Article
DE woody plants; spontaneous spread; weed; invasive species; native plants;
   climate change; garden maintenance
ID BOTANICAL GARDENS; INVASION; CONSERVATION; PATHWAY
AB Climate change may strongly modify the habitat conditions for many woody plant species. Some species could disappear from their natural habitats and become endangered, while others could adapt well to the changed environmental conditions and continue to survive successfully or even proliferate more easily. A similar process can occur within the artificial urban environment as the hitherto popularly planted urban trees may suffer from the extremities of the urban climate. However, among the planted taxa, there are species that spread spontaneously and appear as weeds in extensively managed gardens. In our study, we evaluated the native and non-native species involved in spontaneous spreading in the institutional garden of Buda Arboretum (Budapest) during the COVID-19 period in 2020-2021 when entry was prohibited, and maintenance went on in a restricted, minimal level. We investigated the correlation between spontaneously settling and planted individuals, and then performed multivariate analyses for native and non-native spreading plants for spatial and quantitative data. During our studies, we observed the spontaneous spreading of 114 woody species, of which 38 are native and 76 are non-native. Taking the total number of individuals into account, we found that, in addition to the 2653 woody species planted, a further 7087 spontaneously emerged weeds developed, which creates an additional task in the maintenance.
C1 [Szabo, Krisztina; Gergely, Attila; Toth, Barnabas] Hungarian Univ Agr & Life Sci MATE, Inst Landscape Architecture Urban Planning & Gard, H-1118 Budapest, Hungary.
   [Szilagyi, Kinga] Hungarian Univ Agr & Life Sci MATE, Doctoral Sch Landscape Architecture & Landscape E, H-1118 Budapest, Hungary.
C3 Hungarian University of Agriculture & Life Sciences; Hungarian
   University of Agriculture & Life Sciences
RP Szabó, K (corresponding author), Hungarian Univ Agr & Life Sci MATE, Inst Landscape Architecture Urban Planning & Gard, H-1118 Budapest, Hungary.
EM szabo.krisztina.dendro@uni-mate.hu
RI Szabó, Krisztina/AAB-9256-2022
OI Szilagyi, Kinga/0000-0002-8073-333X; Szabo,
   Krisztina/0000-0002-3233-0974; Gergely, Attila/0000-0001-9638-7542
CR [Anonymous], CSAPODY VERA NOVENYB
   [Anonymous], 2016, ACT 53 1996 NATURE C
   Balogh L. - Dancza I.A-AKiraly G., 2004, Biologiai invaziok Magyarorszagon, P61
   Bartha D., 2020, Black list: invasive tree and shrub species of Hungary
   Bonanomi G, 2018, IFOREST, V11, P64, DOI 10.3832/ifor2374-010
   Brundu G., 2001, Plant Invasions - Species Ecology and Ecosystem Management
   Budai Arboretum-MATE, US
   budaiarboretum, AZ ARBORETUM TORTENE
   Caño L, 2013, BIOL INVASIONS, V15, P1183, DOI 10.1007/s10530-012-0360-4
   CRAWLEY MJ, 1989, ANNU REV ENTOMOL, V34, P531, DOI 10.1146/annurev.en.34.010189.002531
   Csecserits A., 2018, BOT KOZLEMENYEK, V105, P143, DOI [10.17716/BotKozlem.2018.105.1.143, DOI 10.17716/BOTKOZLEM.2018.105.1.143]
   Csepely-Knorr L., 2009, 4D TAJEPITESZETI KE, V14, P13
   Csiszar A., 2012, Invazios novenyfajok Magyarorszagon
   Csontos P., 2006, Tajokologiai Lapok, V4, P127
   Czigany K., MEGUJULT BUDAI ARBOR
   Czucz B, BUDAI VAR FASSZARU A
   Dehnen-Schmutz K, 2007, DIVERS DISTRIB, V13, P527, DOI 10.1111/j.1472-4642.2007.00359.x
   Foster J, 2004, GEOGR REV, V94, P178, DOI 10.1111/j.1931-0846.2004.tb00166.x
   Fried G, 2016, BOT LETT, V163, P127, DOI 10.1080/23818107.2016.1168315
   Genovesi P., 2004, STRATEGIE EUROPEENNE
   Global Invasive Species Database (GISD), About us
   Gouveia A., 2017, EMAPI 2014 BOOK ABST, P74
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Heywood V., 1985, B BOT SURV INDIA, V25, P134
   Heywood V., 2013, SHARROCK EUROPEAN CO
   Heywood V.H., 1989, BIOL INVASIONS, P31
   Heywood VH, 2011, BIODIVERS CONSERV, V20, P221, DOI 10.1007/s10531-010-9781-5
   Hilton-Taylor C., 2000, IUCN RED LIST THREAT
   Hulme PE, 2015, CONSERV BIOL, V29, P816, DOI 10.1111/cobi.12426
   Hulme PE, 2011, TRENDS ECOL EVOL, V26, P168, DOI 10.1016/j.tree.2011.01.005
   Invazios, NOVENYFAJOK ORSZAGOS
   Jambor I., 2012, 4D TAJEPITESZETI KE, V27, P25
   MacDougall AS, 2005, ECOLOGY, V86, P42, DOI 10.1890/04-0669
   Mack RN, 2005, HORTSCIENCE, V40, P1168, DOI 10.21273/HORTSCI.40.5.1168
   Mack RN, 2000, ECOL APPL, V10, P689, DOI 10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2
   Mihaly B., 2004, OZONNOVENYEK BIOL IN
   Mojzes A, 2010, THESIS ELTE BIOL INT
   Nadasy L.Z., 2011, PROC F BOS C LANDSC, DOI [10.7275/1MYH-MP19, DOI 10.7275/1MYH-MP19]
   Osvath Z., 2014, PAAA, P92, DOI [10.15170/PAAA.2014.01.02.06, DOI 10.15170/PAAA.2014.01.02.06]
   Petrosyan V, 2023, NEOBIOTA, V82, P23, DOI 10.3897/neobiota.82.96282
   Pimentel D, 2005, ECOL ECON, V52, P273, DOI 10.1016/j.ecolecon.2004.10.002
   Podani J, 2001, SYNTAX 2000 COMPUTER
   Primack RB, 2021, NEW PHYTOL, V231, P917, DOI 10.1111/nph.17410
   Primack RB, 2009, NEW PHYTOL, V182, P303, DOI 10.1111/j.1469-8137.2009.02800.x
   PYSEK P, 1995, PLANT INVASIONS, P71
   Pysek P, 2006, J BIOGEOGR, V33, P2040, DOI 10.1111/j.1365-2699.2006.01578.x
   Pysek P, 2010, ANNU REV ENV RESOUR, V35, P25, DOI 10.1146/annurev-environ-033009-095548
   Reichard SH, 2001, BIOSCIENCE, V51, P103, DOI 10.1641/0006-3568(2001)051[0103:HAAPOI]2.0.CO;2
   Richardson David M., 2000, Diversity and Distributions, V6, P93, DOI 10.1046/j.1472-4642.2000.00083.x
   Rigo A., 2019, BOT KOZLEMENYEK, V106, P217, DOI [10.17716/BotKozlem.2019.106.2.217, DOI 10.17716/BOTKOZLEM.2019.106.2.217]
   Schild D., MENESI UT 44 48
   Schlaepfer MA, 2011, CONSERV BIOL, V25, P428, DOI 10.1111/j.1523-1739.2010.01646.x
   Schmidt G., 2013, BUDAPESTI CORVINUS E
   Schmidt G., 1994, BUDAI ARBORETUM
   Sharrock SL, 2011, TRENDS ECOL EVOL, V26, P433, DOI 10.1016/j.tree.2011.05.008
   Szilagyi K., 2021, ESZTERHAZA KERTMUVES
   Szilagyi K., 2013, 4D TAJEPITESZETI KER, V29, P29
   Udvardy L., 1999, INV ZIE INV ZNE ORGA
   Vedett Novenyek-Budai Arboretum-MATE, US
   Whittemore Alan T., 2008, Journal of the Botanical Research Institute of Texas, V2, P627
   Wilcove DS, 1998, BIOSCIENCE, V48, P607, DOI 10.2307/1313420
   Zalaine d.K.A, 2003, 150 EV KERTESZETTUDO
NR 62
TC 1
Z9 1
U1 2
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD MAY 15
PY 2023
VL 12
IS 10
AR 1989
DI 10.3390/plants12101989
PG 23
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA H6MF0
UT WOS:000997074300001
PM 37653906
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Luo, X
   Lin, T
AF Luo, Xiao
   Lin, Ting
TI Probabilistic Sea Level Rise Hazard Analysis Based on the Current
   Generation of Data and Protocols
SO JOURNAL OF STRUCTURAL ENGINEERING
LA English
DT Article
ID SURFACE MASS-BALANCE; ICE-SHEET; SPATIAL SENSITIVITIES;
   ENVIRONMENTAL-CHANGE; STORM-SURGE; GREENLAND; DESIGN; EARTHQUAKES;
   PROJECTIONS; INSIGHTS
AB Sea level rise, as a result of climate change, is expected to drive coastal hazards that could bring significant damages to coastal regions in the future. However, high uncertainties remain in the projections of sea level rise from different climate scenarios and sea level rise prediction models. Quantification and integration of these uncertainties are essential to better inform coastal planning and decision making for climate adaptation, critical for infrastructure sustainability and resilience. This paper advances knowledge cross-cutting structural engineering and climate change in the face of multihazards via a novel framework termed the Probabilistic Sea Level Rise Hazard Analysis (PSLRHA). This study uses the current generation of models and protocols from the climate science research community to better portray the future climate and project sea level rise. The aggregation process produces the probability of exceeding a specific sea level rise threshold at a certain location and facilitates the creation of the global sea level rise hazard map. The relative importance of each climate scenario and sea level rise contributing models are demonstrated via the deaggregation process. We identify the models that have most contribution to extreme sea level rise thresholds, with large fluctuations in the high thresholds among ice sheet models. Finally, we show the practical implementation of PSLRHA results via compound flooding analyses using Houston as an illustrative example.
C1 [Luo, Xiao; Lin, Ting] Texas Tech Univ, Dept Civil Environm & Construct Engn, Lubbock, TX 79409 USA.
C3 Texas Tech University System; Texas Tech University
RP Lin, T (corresponding author), Texas Tech Univ, Dept Civil Environm & Construct Engn, Lubbock, TX 79409 USA.
EM xiao.luo@ttu.edu; ting.lin@ttu.edu
OI Lin, Ting/0000-0003-2650-8040; LUO, XIAO/0000-0003-1614-3244
FU Edward E. Whitacre, Jr., College of Engineering at Texas Tech
   University; Innovation Hub and the Office of Research Innovation;
   High-Performance Computing Center (HPCC); Vice President for Research &
   Innovation for T.L.'s Multi-Hazard Sustainability (HazSus) Research
   Group
FX We acknowledge the World Climate Research Programme (2011)'s Working
   Group on Coupled Modelling, which is responsible for CMIP, and we thank
   the climate modeling groups for producing and making available their
   model output. For CMIP the US Department of Energy's Program for Climate
   Model Diagnosis and Intercomparison provides coordinating support and
   led development of software infrastructure in partnership with the
   Global Organization for Earth System Science Portals. We thank the
   editor and the reviewers for their careful review and insightful
   comments that have helped us improve this manuscript. This work is
   supported in part by the Edward E. Whitacre, Jr., College of Engineering
   at Texas Tech University under research salary and travel funds awarded
   to the Principal Investigator T.L.-corresponding (second) author. The
   funds provide research assistantship support, conference participation,
   and programming bootcamp training for the lead student author X.L.,
   along with the tuition scholarship from Department of Civil,
   Environmental, and Construction Engineering. Additional awards from the
   Innovation Hub and the Office of Research & Innovation to the Principal
   Investigator T.L. are gratefully acknowledged. Analyses presented herein
   were performed using the Red Raider computing cluster at Texas Tech
   University. We thank the team at the High-Performance Computing Center
   (HPCC) for their generous support. In addition, the equipment support
   from the Vice President for Research & Innovation for T.L.'s
   Multi-Hazard Sustainability (HazSus) Research Group is gratefully
   acknowledged.
CR Alhamid AK, 2022, STRUCT SAF, V94, DOI 10.1016/j.strusafe.2021.102152
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   ASCE, 2022, FUT WORLDS MEG CIT
   Baradaranshoraka M, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001824
   Barthel A, 2020, CRYOSPHERE, V14, P855, DOI 10.5194/tc-14-855-2020
   Bazzurro P, 1999, B SEISMOL SOC AM, V89, P501
   Benjamin ].R., 1970, PROBABILITY STAT DEC
   Bevacqua E, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw5531
   Bilbao RAF, 2015, CLIM DYNAM, V45, P2647, DOI 10.1007/s00382-015-2499-z
   Borchert LF, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL091307
   CORNELL CA, 1968, B SEISMOL SOC AM, V58, P1583
   Dong TY, 2021, CLIM DYNAM, V57, P1751, DOI 10.1007/s00382-021-05773-1
   Edwards TL, 2021, NATURE, V593, P74, DOI 10.1038/s41586-021-03302-y
   English EC, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001750
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fernandez-Granja JA, 2021, CLIM DYNAM, V56, P3527, DOI 10.1007/s00382-021-05652-9
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Goelzer H, 2020, CRYOSPHERE, V14, P3071, DOI 10.5194/tc-14-3071-2020
   Goelzer H, 2018, CRYOSPHERE, V12, P1433, DOI 10.5194/tc-12-1433-2018
   Good P, 2013, CLIM DYNAM, V40, P1041, DOI 10.1007/s00382-012-1410-4
   Gu MY, 2019, R J, V11, P112, DOI 10.32614/RJ-2019-011
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hansen G, 2016, NAT CLIM CHANGE, V6, P532, DOI [10.1038/nclimate2896, 10.1038/NCLIMATE2896]
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Harmsen SC, 2001, B SEISMOL SOC AM, V91, P1537, DOI 10.1785/0120000289
   Hock R, 2019, J GLACIOL, V65, P453, DOI 10.1017/jog.2019.22
   Hofer S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-20011-8
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Jalayer F, 2016, ENG STRUCT, V106, P109, DOI 10.1016/j.engstruct.2015.10.007
   Jiang JH, 2021, EARTH SPACE SCI, V8, DOI 10.1029/2020EA001520
   Jourdain NC, 2020, CRYOSPHERE, V14, P3111, DOI 10.5194/tc-14-3111-2020
   Kim AA, 2017, J MANAGE ENG, V33, DOI 10.1061/(ASCE)ME.1943-5479.0000494
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Kittel C, 2021, CRYOSPHERE, V15, P1215, DOI 10.5194/tc-15-1215-2021
   Kron W, 2013, NAT HAZARDS, V66, P1363, DOI 10.1007/s11069-012-0215-4
   Levermann A, 2005, CLIM DYNAM, V24, P347, DOI 10.1007/s00382-004-0505-y
   Levermann A, 2014, EARTH SYST DYNAM, V5, P271, DOI 10.5194/esd-5-271-2014
   Li LL, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1180
   Lin T., 2011, PROC 5 INT C EARTHQU
   Lin T, 2012, PROC 5 ASIAN PAC S S, P6, DOI [10.3850/978-981-07-2219-7_P296, DOI 10.3850/978-981-07-2219-7_P296]
   Lin T, 2013, B SEISMOL SOC AM, V103, P1103, DOI 10.1785/0120110293
   Marzeion B, 2012, CRYOSPHERE, V6, P1295, DOI 10.5194/tc-6-1295-2012
   Marzeion B, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001470
   Maussion F, 2019, GEOSCI MODEL DEV, V12, P909, DOI 10.5194/gmd-12-909-2019
   McGuire R.K., 2004, Seismic Hazard and Risk Analysis
   MCGUIRE RK, 1995, B SEISMOL SOC AM, V85, P1275
   McKenna CM, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00957-9
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Moftakhari HR, 2017, P NATL ACAD SCI USA, V114, P9785, DOI 10.1073/pnas.1620325114
   Muhaimin AMM, 2021, J MANAGE ENG, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000943
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Nowicki S, 2020, CRYOSPHERE, V14, P2331, DOI 10.5194/tc-14-2331-2020
   Nowicki S, 2013, J GEOPHYS RES-EARTH, V118, P1025, DOI 10.1002/jgrf.20076
   Nowicki S, 2013, J GEOPHYS RES-EARTH, V118, P1002, DOI 10.1002/jgrf.20081
   Nowicki SMJ, 2016, GEOSCI MODEL DEV, V9, P4521, DOI 10.5194/gmd-9-4521-2016
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Pregnolato M, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000372
   Saito F, 2016, CRYOSPHERE, V10, P43, DOI 10.5194/tc-10-43-2016
   Seroussi H, 2020, CRYOSPHERE, V14, P3033, DOI 10.5194/tc-14-3033-2020
   Seroussi H, 2019, CRYOSPHERE, V13, P1441, DOI 10.5194/tc-13-1441-2019
   Shannon S, 2019, CRYOSPHERE, V13, P325, DOI 10.5194/tc-13-325-2019
   Slater DA, 2020, CRYOSPHERE, V14, P985, DOI 10.5194/tc-14-985-2020
   Sweet W., 2014, 073 NOAA NOS CO OPS
   Thomas M., 2015, Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering, P1, DOI DOI 10.14288/1.0076234
   Thomas MA, 2020, J CLIMATE, V33, P1523, DOI 10.1175/JCLI-D-19-0320.1
   Thomas MA, 2018, CLIMATIC CHANGE, V148, P311, DOI 10.1007/s10584-018-2198-y
   Unnikrishnan VU, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001797
   van de Lindt JW, 2022, J STRUCT ENG, V148, DOI 10.1061/(ASCE)ST.1943-541X.0003414
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Wahl T, 2015, NAT CLIM CHANGE, V5, P1093, DOI [10.1038/nclimate2736, 10.1038/NCLIMATE2736]
   Wang C, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001710
   Woodruff JD, 2013, NATURE, V504, P44, DOI 10.1038/nature12855
   Yang ZQ, 2014, NAT HAZARDS, V71, P1771, DOI 10.1007/s11069-013-0974-6
NR 74
TC 3
Z9 4
U1 8
U2 34
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9445
EI 1943-541X
J9 J STRUCT ENG
JI J. Struct. Eng.
PD MAR 1
PY 2023
VL 149
IS 3
AR 04022252
DI 10.1061/JSENDH.STENG-11413
PG 17
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 7Y1IW
UT WOS:000914643000024
DA 2025-01-10
ER

PT J
AU Guo, HP
   Xia, YJ
   Jin, JS
   Pan, CL
AF Guo, Hongpeng
   Xia, Yujie
   Jin, Jingshu
   Pan, Chulin
TI The impact of climate change on the efficiency of agricultural
   production in the world's main agricultural regions
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Climate change; Agricultural productivity; DEA-Malmquist; Climate
   adaptation; Worldwide
ID RESEARCH-AND-DEVELOPMENT; CHINESE AGRICULTURE; GROWTH; ADAPTATION;
   SYSTEMS; VARIABILITY; COUNTRIES; PROGRESS
AB Climate change has had a significant impact on global agricultural production. Hence, studying the impact of climate change on the efficiency of agricultural production has become crucial in helping major agricultural regions around the world adopt novel technologies to improve the adaptability of agricultural production. The efficiency of agricultural production can also be improved, and global food safety can be ensured at the same time. This paper used data collected from 43 countries around the world from 1992 to 2018. The data envelopment analysis-Malmquist model was used to estimate agricultural productivity with and without the presence of climate factors, and data comparison and analysis were performed among years and regions. The results show that climate factors can overestimate agricultural productivity. On the whole, climate factors have a positive impact on agricultural production in Sub-Saharan Africa and Latin America and a negative impact in other areas. In addition, the impact of climate change on technical progress is greater than the impact on technical efficiency. According to the results, this paper finds that relevant departments should pay attention to the development of agricultural technology under climate change and should carry out suitable management based on geographical location and climate conditions. In summary, the research methods and results of this article provide a reference for the progress of agricultural production under global climate change.
C1 [Guo, Hongpeng; Xia, Yujie; Pan, Chulin] Jilin Univ, Coll Biol & Agr Engn, Jilin, Jilin, Peoples R China.
   [Jin, Jingshu] Jilin Univ Finance & Econ, Sch Publ Adm, Jilin, Jilin, Peoples R China.
C3 Jilin University; Jilin University of Finance & Economics
RP Pan, CL (corresponding author), Jilin Univ, Coll Biol & Agr Engn, Jilin, Jilin, Peoples R China.
EM pancl@jlu.edu.cn
RI Xia, Yujie/P-8934-2015
OI Xia, Yujie/0000-0003-4959-7429
FU National Social Science Foundation of China [11BJY060]
FX This research was supported by the National Social Science Foundation of
   China (11BJY060).
CR Abdi-Dehkordi M, 2017, CLIMATIC CHANGE, V143, P429, DOI 10.1007/s10584-017-1998-9
   Adamisin P, 2015, AGR ECON-CZECH, V61, P265, DOI 10.17221/153/2014-AGRICECON
   ADAMS RM, 1990, NATURE, V345, P219, DOI 10.1038/345219a0
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Auci Sabrina, 2021, International Journal of Environmental Studies, V78, P57, DOI 10.1080/00207233.2020.1754559
   Bannor F., 2021, INTERDEPENDENCE RES
   Bastianin A, 2018, AGR ECON-BLACKWELL, V49, P623, DOI 10.1111/agec.12447
   Brümmer B, 2006, J DEV ECON, V81, P61, DOI 10.1016/j.jdeveco.2005.04.009
   Cappellesso G, 2020, INNOV MANAG REV, V17, P395, DOI 10.1108/INMR-07-2019-0095
   CAVES DW, 1982, ECONOMETRICA, V50, P1393, DOI 10.2307/1913388
   Chandio AA, 2023, J ENVIRON PLANN MAN, V66, P169, DOI 10.1080/09640568.2021.1980378
   Chandio AA, 2023, ENVIRON DEV SUSTAIN, V25, P1614, DOI 10.1007/s10668-022-02111-1
   Chandio AA, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125637
   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
   Coelli TJ, 2005, AGR ECON-BLACKWELL, V32, P115, DOI 10.1111/j.0169-5150.2004.00018.x
   Cullen JM, 2011, ENVIRON SCI TECHNOL, V45, P1711, DOI 10.1021/es102641n
   D'Agostino AL, 2016, AGR ECON-BLACKWELL, V47, P159, DOI 10.1111/agec.12315
   Davidson D, 2016, NAT CLIM CHANGE, V6, P433, DOI 10.1038/nclimate3007
   Du Z., 2015, WORLD AGR SITUATION
   Dubovitski A., 2021, IOP C SERIES EARTH E
   Duffy C, 2021, CLIM DEV, V13, P242, DOI 10.1080/17565529.2020.1757397
   EPA, 2017, AGR NUTR MAN FERT
   Fan YP, 2020, ENVIRON IMPACT ASSES, V84, DOI 10.1016/j.eiar.2020.106441
   FARE R, 1994, AM ECON REV, V84, P66, DOI 10.1111/j.1467-8268.2004.00089.x
   Firsova A, 2020, INFORMATION, V11, DOI 10.3390/info11060294
   Fuglie K, 2021, NAT CLIM CHANGE, V11, P294, DOI 10.1038/s41558-021-01017-6
   Fulginiti LE, 1997, J DEV ECON, V53, P373, DOI 10.1016/S0304-3878(97)00022-9
   Gao M., 2018, CHINA SOFT SCI, V9
   Gong BL, 2020, CHINA ECON REV, V60, DOI 10.1016/j.chieco.2020.101423
   Grusson Y, 2021, AGR WATER MANAGE, V249, DOI 10.1016/j.agwat.2021.106766
   Gul A, 2022, ENVIRON SCI POLLUT R, V29, P26660, DOI 10.1007/s11356-021-17579-z
   Guo HP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18030919
   Guo HP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18020705
   Guo HP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12219259
   Guo JP, 2015, PHYS CHEM EARTH, V87-88, P87, DOI 10.1016/j.pce.2015.07.012
   HAYAMI Y, 1970, AM ECON REV, V60, P895
   Hellin J, 2019, NAT CLIM CHANGE, V9, P493, DOI 10.1038/s41558-019-0515-8
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Hulten C.R., 2007, TOTAL FACTOR PRODUCT
   Karki S, 2020, CLIM DEV, V12, P80, DOI 10.1080/17565529.2019.1603096
   KOSTROWICKI J, 1977, Agricultural Systems, V2, P33, DOI 10.1016/0308-521X(77)90015-4
   Kostrowicki J., 1974, PRINCIPLES METHODS M
   Laureta RP, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03208-8
   Liang XZ, 2017, P NATL ACAD SCI USA, V114, pE2285, DOI 10.1073/pnas.1615922114
   Malla G., 2008, J AGR & ENVIRONM, V9, P62, DOI 10.3126/aej.v9i0.2119
   Mao WN, 1997, CHINA ECON REV, V8, P157, DOI 10.1016/S1043-951X(97)90004-3
   Mendelsohn R, 2001, ENVIRON DEV ECON, V6, P85, DOI 10.1017/S1355770X01000055
   Mohan G, 2014, J DISASTER RES, V9, P443, DOI 10.20965/jdr.2014.p0443
   Mu JHE, 2017, CLIMATIC CHANGE, V144, P329, DOI 10.1007/s10584-017-2033-x
   NASA, 2020, MERRA 2 TAVGM 2D RAD
   NCSU, 2020, LONGW SHORTW RAD
   Ngoma H, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03168-z
   Njuki E, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192432
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Pan WT, 2021, TECHNOL FORECAST SOC, V162, DOI 10.1016/j.techfore.2020.120298
   PWT, 2021, Penn World Table version 10.0 (PWT 10.0)
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Rattis L, 2021, NAT CLIM CHANGE, V11, P1098, DOI 10.1038/s41558-021-01214-3
   Regan PM, 2019, REG ENVIRON CHANGE, V19, P113, DOI 10.1007/s10113-018-1364-0
   Rippke U, 2016, NAT CLIM CHANGE, V6, P605, DOI [10.1038/nclimate2947, 10.1038/NCLIMATE2947]
   Ruttan VW, 2002, J ECON PERSPECT, V16, P161, DOI 10.1257/089533002320951028
   Salim RA, 2010, AUST J AGR RESOUR EC, V54, P561, DOI 10.1111/j.1467-8489.2010.00514.x
   Salokhiddinov A, 2020, IOP C SER EARTH ENV, V612, DOI 10.1088/1755-1315/612/1/012058
   Saptutyningsih E., 2021, E3S WEB C EDP SCI 04
   Sekaranom AB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137069
   Tack J, 2015, P NATL ACAD SCI USA, V112, P6931, DOI 10.1073/pnas.1415181112
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Thornton PK, 2010, AGR SYST, V103, P73, DOI 10.1016/j.agsy.2009.09.003
   UNdata, 2021, DATASET GALLERY
   Wei YM, 2004, ENVIRON IMPACT ASSES, V24, P427, DOI 10.1016/j.eiar.2003.12.003
   Wende W, 2012, ENVIRON IMPACT ASSES, V32, P88, DOI 10.1016/j.eiar.2011.04.003
   Wuepper D, 2020, CLIM DEV, V12, P151, DOI 10.1080/17565529.2019.1607240
   Zaaboul R, 2020, DESALIN WATER TREAT, V176, P436, DOI 10.5004/dwt.2020.25558
   Zhang N, 2020, ENVIRON IMPACT ASSES, V81, DOI 10.1016/j.eiar.2019.106354
   Zhang S., 2020, IMPACT EPIDEMICS AGR
   Zhu X, 2018, EARTHS FUTURE, V6, P656, DOI 10.1002/2017EF000687
NR 77
TC 49
Z9 51
U1 48
U2 150
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0195-9255
EI 1873-6432
J9 ENVIRON IMPACT ASSES
JI Environ. Impact Assess. Rev.
PD NOV
PY 2022
VL 97
AR 106891
DI 10.1016/j.eiar.2022.106891
PG 10
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6S3DR
UT WOS:000892872000005
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Lemoine-Rodríguez, R
   Inostroza, L
   Zepp, H
AF Lemoine-Rodriguez, Richard
   Inostroza, Luis
   Zepp, Harald
TI Intraurban heterogeneity of space-time land surface temperature trends
   in six climate-diverse cities
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Urban climate; Urban warming; MODIS; Time-series; Urban heterogeneity
ID URBAN HEAT-ISLAND; SPATIAL ASSOCIATION; STATISTICS; INDICATORS;
   TECHNOMASS; AMERICA; DECADES; SPRAWL; ENERGY; ZONES
AB Surface urban heat islands (SUHIs) are present in all cities, derived from their thermal properties. While looking at the spatiotemporal variability of land surface temperature (LST), there is still a gap in understanding patterns of change. In this paper, we analysed diurnal and nocturnal annual mean LST trends in continental (Beijing), temperate (Mexico City and Santiago), and arid (Cairo, Hyderabad, and Riyadh) cities employing 1 km MODIS data (2003-2019). Each time-series was assessed with the structure of a space-time cube. Hot and cold spots were detected for each year and the LST trends were analysed. Each pixel was classified into different space-time LST trends and their SUHIs were estimated. Cities exhibit trends of increasing temperatures in cold and hot spots for diurnal and nocturnal data. Temperatures are increasing faster in hot spots for diurnal and in cold spots for nocturnal scenes. Steady hot spots and warming hot spots exhibit the highest SUHIs for day and night. Our approach provides a framework to empirically delineate the spatial intraurban heterogeneity of LST patterns over time. This spatially explicit information provides insights into urban areas requiring heat mitigation strategies and can be used to monitor the performance of measures already implemented for climate adaptation. (c) 2021 Elsevier B.V. All rights reserved.
C1 [Lemoine-Rodriguez, Richard; Inostroza, Luis; Zepp, Harald] Ruhr Univ Bochum, Inst Geog, D-44801 Bochum, Germany.
   [Inostroza, Luis] Univ Autonoma Chile, Santiago 7500912, Chile.
C3 Ruhr University Bochum; Universidad Autonoma de Chile
RP Lemoine-Rodríguez, R (corresponding author), Univ Str 150,IA 6-117, D-44801 Bochum, Germany.
EM Richard.LemoineRodriguez@rub.de; Luis.Inostroza@rub.de;
   Harald.Zepp@rub.de
RI Lemoine-Rodríguez, Richard/AAE-1745-2020; inostroza, luis/N-1524-2014
OI Lemoine-Rodriguez, Richard/0000-0002-3679-6958; inostroza,
   luis/0000-0002-6303-4529
FU Consejo Nacional de Ciencia y Tecnologia (CONACyT) [308198/471027];
   Deutscher Akademischer Austauschdienst [DAAD 91680266]; FONDECYT
   [11160643]; Agencia Nacional de Investigacion y Desarrollo de Chile
FX Richard Lemoine-Rodriguez acknowledges the PhD scholarship and financial
   support provided by the Consejo Nacional de Ciencia y Tecnologia
   (CONACyT 308198/471027) and the Deutscher Akademischer Austauschdienst
   (DAAD 91680266) . This research was supported by the FONDECYT project
   11160643 of the Agencia Nacional de Investigacion y Desarrollo de Chile.
   All the authors thank the two anonymous reviewers for their insightful
   comments to improve our manuscript.
CR Angel S., 2016, ATLAS URBAN EXPANSIO
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Artmann M, 2019, ECOL INDIC, V96, P3, DOI 10.1016/j.ecolind.2018.10.059
   Bechtel B, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.01.005
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Cao J, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103979
   Chakraborty T, 2020, ISPRS J PHOTOGRAMM, V168, P74, DOI 10.1016/j.isprsjprs.2020.07.021
   Chakraborty T, 2019, INT J APPL EARTH OBS, V74, P269, DOI 10.1016/j.jag.2018.09.015
   Clinton N, 2013, REMOTE SENS ENVIRON, V134, P294, DOI 10.1016/j.rse.2013.03.008
   Danielson J. J., 2011, U.S. geological survey open-ile report 20111073, P26, DOI DOI 10.3133/OFR20111073
   Das Majumdar D, 2016, LANDSCAPE URBAN PLAN, V153, P51, DOI 10.1016/j.landurbplan.2016.05.001
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Inostroza L., 2014, J L USE MOBIL ENV, P523
   Inostroza L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162464
   Inostroza L, 2014, ECOL INDIC, V42, P10, DOI 10.1016/j.ecolind.2014.02.035
   Inostroza L, 2013, J ENVIRON MANAGE, V115, P87, DOI 10.1016/j.jenvman.2012.11.007
   Kendall M., 1975, Rank correlation measures, P202, DOI DOI 10.1109/ICASSP.1997.599355
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Kumar R, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14213-2
   Lemoine-Rodríguez R, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103949
   Lemoine-Rodriguez Richard, 2020, Zenodo, DOI 10.5281/ZENODO.4010732
   Lemoine-Rodriguez R, 2020, DATA BRIEF, V33, DOI 10.1016/j.dib.2020.106369
   Lemoine-Rodríguez R, 2019, URBAN ECOSYST, V22, P609, DOI 10.1007/s11252-019-00839-9
   Liang Z, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135011
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Martilli A, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100541
   Mostovoy GV, 2006, GISCI REMOTE SENS, V43, P78, DOI 10.2747/1548-1603.43.1.78
   Nichol JE, 2009, ATMOS RES, V94, P276, DOI 10.1016/j.atmosres.2009.06.011
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401
   ORD JK, 1995, GEOGR ANAL, V27, P286, DOI 10.1111/j.1538-4632.1995.tb00912.x
   Palme M, 2018, BUILD RES INF, V46, P864, DOI 10.1080/09613218.2018.1483868
   Peng SS, 2014, P NATL ACAD SCI USA, V111, P2915, DOI 10.1073/pnas.1315126111
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Schwarz N, 2011, REMOTE SENS ENVIRON, V115, P3175, DOI 10.1016/j.rse.2011.07.003
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart ID, 2011, INT J CLIMATOL, V31, P200, DOI 10.1002/joc.2141
   Taubenböck H, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111353
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Wang CY, 2018, ISPRS J PHOTOGRAMM, V141, P59, DOI 10.1016/j.isprsjprs.2018.04.009
   Weng Qihao, 2007, Urban Ecosystems, V10, P203, DOI 10.1007/s11252-007-0020-0
   Wentz EA, 2018, LANDSCAPE URBAN PLAN, V179, P55, DOI 10.1016/j.landurbplan.2018.07.007
   Yang QQ, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdaed
   Zepp H, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126603
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhou B, 2013, GEOPHYS RES LETT, V40, P5486, DOI 10.1002/2013GL057320
   Zhou B, 2020, INT J CLIMATOL, V40, P3099, DOI 10.1002/joc.6385
NR 57
TC 21
Z9 21
U1 8
U2 68
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JAN 15
PY 2022
VL 804
AR 150037
DI 10.1016/j.scitotenv.2021.150037
EA SEP 2021
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UY9ST
UT WOS:000701855500013
PM 34509842
DA 2025-01-10
ER

PT J
AU Gao, Y
   Yin, S
   Chu, HL
   Zhang, YN
   Wang, HB
   Chen, HH
   Liu, C
   Dai, DQ
   Tang, LZ
AF Gao, Yong
   Yin, Si
   Chu, Honglong
   Zhang, Yanan
   Wang, Haibo
   Chen, Huanhuan
   Liu, Chao
   Dai, Dongqin
   Tang, Lizhou
TI Genome-Wide SNPs Provide Insights on the Cryptic Genetic Structure and
   Signatures of Climate Adaption in <i>Amorphophallus albus</i> Germplasms
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE Amorphophallus albus; restriction site-associated DNA sequencing;
   genetic structure; isolation by distance; isolation by environment;
   environment adaption
ID POPULATION-STRUCTURE; ADAPTATION; DIVERGENCE; INFERENCE; SELECTION;
   ISLANDS; HISTORY; PACKAGE; WILD
AB Domesticated species represent unique systems in which the evolutionary genomic consequences of intensive selective breeding and adaptation can be thoroughly investigated. Amorphophallus albus occurs naturally and is in cultivation throughout the downstream region of the Jinshajiang River in Southwest China. This species is characterised by high konjac glucomannan content, and has been cultivated in China for nearly 2,000 years. To study genetic differentiation and local adaption of A. albus, we sampled 13 distinct local cultivated populations of this species. Restriction site-associated DNA sequencing was conducted with 87 samples, resulting in 24,225 SNPs. The population structure analyses suggest two main genetic groups: one in the relatively upstream region, and one downstream. We found evidence of additional sub-structure within the upstream group, demonstrating the statistical power of genomic SNPs in discovering subtle genetic structure. The environmental and geographic factors were all identified as significant in shaping the genetic differentiation of this species. Notably, the proportion of environmental factors was larger than geographic factors in influencing the population genetic patterns of A. albus. We also discovered loci that were associated with local adaptation. These findings will help us understand the genetic differentiation of this newly domesticated species, thereby informing future breeding programs of A. albus.
C1 [Gao, Yong; Yin, Si; Chu, Honglong; Zhang, Yanan; Wang, Haibo; Chen, Huanhuan; Liu, Chao; Dai, Dongqin; Tang, Lizhou] Qujing Normal Univ, Coll Biol Resource & Food Engn, Ctr Yunnan Plateau Biol Resources Protect & Utili, Qujing, Peoples R China.
C3 Qujing Normal University
RP Dai, DQ; Tang, LZ (corresponding author), Qujing Normal Univ, Coll Biol Resource & Food Engn, Ctr Yunnan Plateau Biol Resources Protect & Utili, Qujing, Peoples R China.
EM cicidaidongqin@gmail.com; 124472623@qq.com
RI Chen, Huanhuan/HTO-5007-2023
CR ADAMS SS, 1990, AM POTATO J, V67, P3, DOI 10.1007/BF02986908
   Allaby RG, 2015, J HUM EVOL, V79, P150, DOI 10.1016/j.jhevol.2014.10.014
   Aslan S, 2015, CROP SCI, V55, P2766, DOI 10.2135/cropsci2015.02.0119
   Baird NA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003376
   Barton NH, 2002, NAT REV GENET, V3, P11, DOI 10.1038/nrg700
   Bolger ME, 2014, CURR OPIN BIOTECH, V26, P31, DOI 10.1016/j.copbio.2013.08.019
   Cantelmo NF, 2016, GENET MOL RES, V15, DOI 10.4238/gmr.15017232
   Chua M, 2010, J ETHNOPHARMACOL, V128, P268, DOI 10.1016/j.jep.2010.01.021
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Fischer MC, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-016-3459-7
   Flori L, 2019, MOL ECOL, V28, P1009, DOI 10.1111/mec.15004
   Ganal MW, 2009, CURR OPIN PLANT BIOL, V12, P211, DOI 10.1016/j.pbi.2008.12.009
   Gao Y, 2015, J BIOGEOGR, V42, P2131, DOI 10.1111/jbi.12576
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Gille S, 2011, PLANTA, V234, P515, DOI 10.1007/s00425-011-1422-z
   Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
   Grillo MA, 2016, EVOLUTION, V70, P2704, DOI 10.1111/evo.13095
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Henry RJ, 2012, BRIEF FUNCT GENOMICS, V11, P51, DOI 10.1093/bfgp/elr032
   Hu JB, 2006, J HORTIC SCI BIOTECH, V81, P859, DOI 10.1080/14620316.2006.11512150
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Lawson DJ, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002453
   Li H., 2010, FLORA CHINA, V23, P3
   Liu P. Y., 2003, KONJAC
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Malinsky M, 2018, MOL BIOL EVOL, V35, P1284, DOI 10.1093/molbev/msy023
   NISHINARI K, 1992, FOOD HYDROCOLLOID, V6, P199, DOI 10.1016/S0268-005X(09)80360-3
   Oksanen Jari, 2022, CRAN
   Orsini L, 2013, MOL ECOL, V22, P5983, DOI 10.1111/mec.12561
   Peakall R, 2012, BIOINFORMATICS, V28, P2537, DOI 10.1093/bioinformatics/bts460
   Pritchard JK, 2000, GENETICS, V155, P945
   Prunier R, 2010, MOL ECOL, V19, P3968, DOI 10.1111/j.1365-294X.2010.04779.x
   Redden R, 2013, AGRONOMY-BASEL, V3, P419, DOI 10.3390/agronomy3020419
   Rochette NC, 2017, NAT PROTOC, V12, P2640, DOI 10.1038/nprot.2017.123
   Singh SP, 2001, CROP SCI, V41, P1659, DOI 10.2135/cropsci2001.1659
   Srednicki G, 2020, Konjac glucomannan: production, processing, and functional Applications
   Tang R, 2020, BMC GENET, V21, DOI 10.1186/s12863-020-00910-x
   Wang J, 2017, GENOME BIOL EVOL, V9, P3495, DOI 10.1093/gbe/evx263
   Ye Z, 2016, SCI REP-UK, V6, DOI 10.1038/srep33625
   Yin S, 2019, PLANT MOL BIOL REP, V37, P365, DOI 10.1007/s11105-019-01162-5
   Zhang S., 1999, J SW AGR U, V21, P515
   Zhang YQ, 2005, CARBOHYD POLYM, V60, P27, DOI 10.1016/j.carbpol.2004.11.003
   Zhou Y, 2018, PLANT BIOTECHNOL J, V16, P280, DOI 10.1111/pbi.12770
NR 45
TC 3
Z9 3
U1 4
U2 28
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD JUL 23
PY 2021
VL 12
AR 683422
DI 10.3389/fpls.2021.683422
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA TV3LP
UT WOS:000681625000001
PM 34367210
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Peng, Y
   Wang, QH
   Bai, L
AF Peng, Yu
   Wang, Qinghui
   Bai, Lan
TI Identification of the key landscape metrics indicating regional
   temperature at different spatial scales and vegetation transpiration
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Landscape pattern; Scale effect; Regional temperature; Vegetation
   transpiration
ID LAND-SURFACE TEMPERATURE; URBAN HEAT ISLANDS; LEAF-AREA INDEX;
   CLIMATE-CHANGE; PATTERN; COVER; MODEL; WATER; FORESTS; IMPACTS
AB Land use changes are widely known as one of the drivers of land surface temperature variation. However, the influence of composition of various land use types and their configuration, i.e. landscape pattern, on regional temperature is still unknown. We test the hypotheses: (1) surface air temperature would vary according to landscape pattern, and (2) these effects would vary, demonstrating scale- and site-dependence effects through different vegetation transpiration rates. The relationships of 360 landscape metrics, indicating multiple dimensions of landscape pattern, and regional temperature at five climatic zones at five spatial scales in southern hilly China were examined through Pearson correlation analysis, stepwise regression and redundancy analysis. The area and number of grassland, building, and dry cropland patches are positively correlated with temperature; the area and density of forestland, shrubland, wet cropland, and water patches have cooling effects. The optimal scale and landscape metrics are also different between different climate zones. Landscape-level vegetation transpiration, determined by the dominant species, may partially explain why landscape pattern affects regional temperature. These findings provide new insights for understanding land use-temperature interactions and designing climate adaptation and mitigation strategies. Suitable landscape pattern, optimal scale, and dominant species should be considered in landscape planning and land use management to mitigate the impacts of the projected climatic warming.
C1 [Peng, Yu; Wang, Qinghui; Bai, Lan] Minzu Univ China, Coll Life & Environm Sci, Beijing 100081, Peoples R China.
C3 Minzu University of China
RP Peng, Y (corresponding author), Minzu Univ China, Coll Life & Environm Sci, Beijing 100081, Peoples R China.
EM yuu.peng@muc.edu.cn
RI wang, qinghui/AAU-6164-2021
FU National Key Research and Development Program of China [2017YFC0505606];
   Top Discipline and First-class University Construction Project of Minzu
   University of China [ydzxxk201818]; 2011 project from the Collaborative
   Innovation Centre for Ethnic Minority Development in China;
   Undergraduate Research and Training Program of Minzu University of China
   [URTP2017110024]
FX The study was financially supported by the National Key Research and
   Development Program of China (2017YFC0505606); the Top Discipline and
   First-class University Construction Project (ydzxxk201818) of Minzu
   University of China; The 2011 project from the Collaborative Innovation
   Centre for Ethnic Minority Development in China; the Undergraduate
   Research and Training Program (URTP2017110024) of Minzu University of
   China
CR Alhamad MN, 2011, ECOL INDIC, V11, P611, DOI 10.1016/j.ecolind.2010.08.007
   An J, 2017, TURK J AGRIC FOR, V41, P175, DOI 10.3906/tar-1611-106
   [Anonymous], ACTA ECOL SINICA
   [Anonymous], ACTA AGRESTIA SINICA
   [Anonymous], PRINCIPLES ENV PHYS
   [Anonymous], ECOL MODEL
   [Anonymous], 2017, LEARNING LANDSCAPE E
   [Anonymous], 2011, Principles of terrestrial ecosystem ecology
   Arora VK, 2011, NAT GEOSCI, V4, P514, DOI [10.1038/NGEO1182, 10.1038/ngeo1182]
   Asgarian A, 2015, URBAN ECOSYST, V18, P209, DOI 10.1007/s11252-014-0387-7
   Bozorov TA, 2018, J ARID LAND, V10, P441, DOI 10.1007/s40333-018-0009-y
   Bronstert A, 2002, HYDROL PROCESS, V16, P509, DOI 10.1002/hyp.326
   Cao Q, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124025
   Christidis N, 2013, GEOPHYS RES LETT, V40, P589, DOI 10.1002/grl.50159
   Coseo P, 2014, LANDSCAPE URBAN PLAN, V125, P117, DOI 10.1016/j.landurbplan.2014.02.019
   Davin EL, 2014, P NATL ACAD SCI USA, V111, P9757, DOI 10.1073/pnas.1317323111
   De Clercq EM, 2006, INT J APPL EARTH OBS, V8, P113, DOI 10.1016/j.jag.2005.07.002
   Dick JJ, 2015, HYDROL PROCESS, V29, P3098, DOI 10.1002/hyp.10423
   [丁圣彦 DING ShengYan], 2007, [生态学报, Acta Ecologica Sinica], V27, P3892
   Dobrowski SZ, 2009, AGR FOREST METEOROL, V149, P1751, DOI 10.1016/j.agrformet.2009.06.006
   dos Reis AR, 2017, ENVIRON EXP BOT, V144, P76, DOI 10.1016/j.envexpbot.2017.10.006
   Douglas EM, 2009, J HYDROL, V373, P366, DOI 10.1016/j.jhydrol.2009.04.029
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Fan M, 2017, BIODIVERS CONSERV, V26, P2169, DOI 10.1007/s10531-017-1351-7
   Fan XG, 2015, CLIMATIC CHANGE, V129, P427, DOI 10.1007/s10584-014-1069-4
   Fan XG, 2015, CLIMATIC CHANGE, V129, P441, DOI 10.1007/s10584-014-1068-5
   Fassnacht FE, 2014, REMOTE SENS ENVIRON, V154, P102, DOI 10.1016/j.rse.2014.07.028
   Fernàndez-Martínez J, 2016, TREE PHYSIOL, V36, P1520, DOI 10.1093/treephys/tpw104
   Findell KL, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01038-w
   Fujinami H, 2016, INT J CLIMATOL, V36, P355, DOI 10.1002/joc.4352
   Ge QS, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/501014
   [耿君 Geng Jun], 2015, [生态学报, Acta Ecologica Sinica], V35, P6007
   Georgescu M, 2011, P NATL ACAD SCI USA, V108, P4307, DOI 10.1073/pnas.1008779108
   Govindasamy B, 2001, GEOPHYS RES LETT, V28, P291, DOI 10.1029/2000GL006121
   [郭晋平 Guo Jinping], 2005, [地理科学, Scientia Geographica Sinica], V25, P584
   Gustafson EJ, 1998, ECOSYSTEMS, V1, P143, DOI 10.1007/s100219900011
   Harper AB, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05340-z
   Jaimez RE, 2016, EXP AGR, V52, P251, DOI 10.1017/S0014479715000071
   Jensen AM, 2011, ENVIRON EXP BOT, V71, P367, DOI 10.1016/j.envexpbot.2011.02.005
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Konarska J, 2016, INT J BIOMETEOROL, V60, P159, DOI 10.1007/s00484-015-1014-x
   Kupfer JA, 2012, PROG PHYS GEOG, V36, P400, DOI 10.1177/0309133312439594
   Laplace S, 2017, ECOL RES, V32, P835, DOI 10.1007/s11284-017-1512-x
   Li G, 2017, SCI TOTAL ENVIRON, V596, P256, DOI 10.1016/j.scitotenv.2017.04.080
   Li HB, 2004, LANDSCAPE ECOL, V19, P389, DOI 10.1023/B:LAND.0000030441.15628.d6
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Li WF, 2017, SCI TOTAL ENVIRON, V586, P457, DOI 10.1016/j.scitotenv.2017.01.191
   Li ZY, 2019, SCI TOTAL ENVIRON, V647, P1080, DOI 10.1016/j.scitotenv.2018.07.401
   Li ZY, 2015, ENVIRON SCI TECHNOL, V49, P5897, DOI 10.1021/es505985q
   [刘海东 LIU Haidong], 2006, [草地学报, Acta agrestia sinica], V14, P373
   Liu H, 2008, ENVIRON MONIT ASSESS, V144, P199, DOI 10.1007/s10661-007-9979-5
   Luo TX, 2002, J VEG SCI, V13, P817, DOI 10.1111/j.1654-1103.2002.tb02111.x
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   milauer S, 2003, MULTIVARIATE ANAL EC
   Milly PCD, 2014, J HYDROMETEOROL, V15, P1739, DOI 10.1175/JHM-D-13-0162.1
   Nedbal V, 2018, SCI TOTAL ENVIRON, V633, P658, DOI 10.1016/j.scitotenv.2018.03.220
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Parker DC, 2004, AGR ECOSYST ENVIRON, V101, P233, DOI 10.1016/j.agee.2003.09.007
   Peng J, 2018, REMOTE SENS ENVIRON, V215, P255, DOI 10.1016/j.rse.2018.06.010
   Peng Y, 2017, ACTA OECOL, V85, P62, DOI 10.1016/j.actao.2017.09.011
   Peng Y, 2016, J ARID ENVIRON, V124, P249, DOI 10.1016/j.jaridenv.2015.08.009
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Pielke RA, 2009, LANDFORM STRUCTURE E, P67
   Dias LCP, 2015, J HYDROL-REG STUD, V4, P108, DOI 10.1016/j.ejrh.2015.05.010
   Pokorny J, 2001, RENEW ENERG, V24, P641, DOI 10.1016/S0960-1481(01)00050-7
   Qin XM, 2018, ENVIRON EXP BOT, V150, P232, DOI 10.1016/j.envexpbot.2018.03.024
   Radanielson AM, 2018, FIELD CROP RES, V220, P46, DOI 10.1016/j.fcr.2017.05.001
   RIITTERS KH, 1995, LANDSCAPE ECOL, V10, P23, DOI 10.1007/BF00158551
   Schindler S, 2015, ECOL MODEL, V295, P107, DOI 10.1016/j.ecolmodel.2014.05.012
   Simon H, 2018, LANDSCAPE URBAN PLAN, V174, P33, DOI 10.1016/j.landurbplan.2018.03.003
   Soudani K, 2006, REMOTE SENS ENVIRON, V102, P161, DOI 10.1016/j.rse.2006.02.004
   Sun B, 2016, J ARID ENVIRON, V124, P118, DOI 10.1016/j.jaridenv.2015.08.007
   [孙鹏森 SUN PengSen], 2006, [生态学报, Acta Ecologica Sinica], V26, P3826
   Tor-ngern P, 2018, AGR FOREST METEOROL, V259, P107, DOI 10.1016/j.agrformet.2018.04.021
   van den Bergh T, 2018, REG ENVIRON CHANGE, V18, P1375, DOI 10.1007/s10113-017-1246-x
   Wang J, 2015, ECOL ENG, V81, P451, DOI 10.1016/j.ecoleng.2015.04.022
   Wu M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6fd6
   Xu CX, 2015, J HYDROL, V529, P433, DOI 10.1016/j.jhydrol.2015.02.037
   Yu Y., 2015, THESIS
   Zhang YS, 2013, INT J REMOTE SENS, V34, P168, DOI 10.1080/01431161.2012.712227
   Zhao XJ, 2017, GEOMAT NAT HAZ RISK, V8, P478, DOI 10.1080/19475705.2016.1238854
NR 81
TC 24
Z9 26
U1 6
U2 86
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD APR
PY 2020
VL 111
AR 106066
DI 10.1016/j.ecolind.2020.106066
PG 12
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA KK2UM
UT WOS:000512603300093
OA hybrid
DA 2025-01-10
ER

PT J
AU Ziaja, S
AF Ziaja, S.
TI Role of Knowledge Networks and Boundary Organizations in Coproduction: A
   Short History of a Decision-Support Tool and Model for Adapting Multiuse
   Reservoir and Water-Energy Governance to Climate Change in California
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
DE Social Science; History; Planning; Policy; Software
ID AGRICULTURAL RISK-MANAGEMENT; FOLSOM LAKE RESPONSE; RESOURCES
   MANAGEMENT; INFORMATION USE; TRANSDISCIPLINARY RESEARCH; NORTHERN
   CALIFORNIA; SCIENCE-POLICY; FORECASTS; USABILITY; SYSTEMS
AB Climate adaptation relies on theoretical frameworks of coproduced science and knowledge networks to produce acceptable outcomes for politically contentious resources. As adaptation moves from theory to implementation, there is a need for positive case studies to use as benchmarks. Building from literature on actionable science this paper presents one such positive case-the development of a hydropower and reservoir decision-support tool. The focus of this history is on the multiple phases of interaction (and noninteraction) between researchers and a semidefined community of stakeholders. The lessons presented from the Integrated Forecast and Reservoir Management (INFORM) system project stress that collaborations between managers and researchers were crucial to the success of the project by building knowledge networks, which could outlast formal processes, and by incorporating policy preferences of end users into the model. The history also provides examples of how even successful collaborative projects do not always follow the usual expectations for coproduced science and shows that, even when those guidelines are followed, external circumstances can threaten the adoption of research products. Ultimately, this paper argues for the importance of building strong knowledge networks alongside more formal processes-like those in boundary organizations-for effective collaborative engagement.
C1 [Ziaja, S.] Calif Publ Util Commiss, Climate Initiat Sect, Publ Advocates Off, San Francisco, CA 94102 USA.
RP Ziaja, S (corresponding author), Calif Publ Util Commiss, Climate Initiat Sect, Publ Advocates Off, San Francisco, CA 94102 USA.
EM s.ziaja@wolfson.oxon.org
OI Ziaja, Sonya/0000-0002-0309-3199
CR [Anonymous], 1988, RES METHODS CULTURAL
   [Anonymous], 2009, INF DEC CHANG CLIM
   [Anonymous], 2008, THESIS U COLORADO
   [Anonymous], DECISION SUPPORT EXP
   [Anonymous], 2007, INTRO ACTION RES SOC, DOI DOI 10.4135/9781412984614
   Aslin H.J., 2010, Tackling Wicked Problems Through the Transdisciplinary Imagination, P117
   Bartels WL, 2013, REG ENVIRON CHANGE, V13, pS45, DOI 10.1007/s10113-012-0371-9
   Bauer CarlJ., 2004, SIREN SONG CHILEAN W
   Bedsworth L., 2018, SUMCCCA42018013
   Beebe J., 2001, RAPID ASSESSMENT PRO
   Beier P, 2017, CONSERV LETT, V10, P288, DOI 10.1111/conl.12300
   Beierle T.C., 2010, DEMOCRACY PRACTICE P
   Berk M. M., 2002, 49020000320012002 NA
   Biggs S., 1989, International Service for National Agricultural Research
   Bolson J, 2013, WEATHER CLIM SOC, V5, P266, DOI 10.1175/WCAS-D-12-00002.1
   Bolson J, 2013, REG ENVIRON CHANGE, V13, pS141, DOI 10.1007/s10113-013-0463-1
   Breuer N., 2010, J EXT, V48
   Breuer N., 2009, J SERVICE CLIMATOL, V13, P1
   Breuer NE, 2008, CLIMATIC CHANGE, V87, P385, DOI 10.1007/s10584-007-9323-7
   Buizer J, 2016, P NATL ACAD SCI USA, V113, P4597, DOI 10.1073/pnas.0900518107
   CALFED Review, 2002, CALFED BAY DELTA PRO
   Callahan B, 1999, POLICY SCI, V32, P269, DOI 10.1023/A:1004604805647
   Carberry PS, 2002, AGR SYST, V74, P141, DOI 10.1016/S0308-521X(02)00025-2
   Carbone GJ, 2008, B AM METEOROL SOC, V89, P20, DOI 10.1175/BAMS-89-1-20
   Carpenter TM, 2001, J HYDROL, V249, P148, DOI 10.1016/S0022-1694(01)00417-6
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   CEC, 2017, USITC PUBL, VCEC-100-2016-003-CMF
   Cerf M, 2012, AGRON SUSTAIN DEV, V32, P899, DOI 10.1007/s13593-012-0091-z
   Climate Group, 2015, BAD WURTT CAL WELC 4
   CNRA, 2017, DRAFT REP SAF CAL PL
   Crane TA, 2010, WEATHER CLIM SOC, V2, P44, DOI 10.1175/2009WCAS1006.1
   Dewulf A, 2013, WATER GOVERNANCE AS CONNECTIVE CAPACITY, P229
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dilling L, 2015, WEATHER CLIM SOC, V7, P5, DOI 10.1175/WCAS-D-14-00001.1
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Doremus H, 2009, ENVIRON SCI POLICY, V12, P729, DOI 10.1016/j.envsci.2009.06.004
   Doremus Holly., 2008, Water War in the Klamath Basin: Macho Law, Combat Biology, and Dirty Politics
   Dutterer AD, 2015, SOC NATUR RESOUR, V28, P21, DOI 10.1080/08941920.2014.945054
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Etkin D, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000396
   Falconi SM, 2017, WATER RESOUR RES, V53, P1625, DOI 10.1002/2016WR019373
   Feldman D.L., 2008, Decision-Support Experiments and Evaluations using Seasonal-to-Interannual Forecasts and Observational Data: A Focus on Water Resources. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research, P65
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Fine G.A., 2007, AUTHORS STORM METEOR
   Flagg JA, 2018, CLIM RISK MANAG, V20, P1, DOI 10.1016/j.crm.2018.01.003
   Fraisse CW, 2006, COMPUT ELECTRON AGR, V53, P13, DOI 10.1016/j.compag.2006.03.002
   Furman C, 2018, ANTHROPOL ACTION, V25, P1, DOI 10.3167/aia.2018.250301
   Garfin G. M., 2008, 17 C APPL CLIM WHIST, V7
   Garfin G. M., 2006, 2006 N AM DROUGHT MO
   Georgakakos AP, 2012, J HYDROL, V412, P34, DOI 10.1016/j.jhydrol.2011.04.038
   Georgakakos KP, 2012, J HYDROL, V412, P47, DOI 10.1016/j.jhydrol.2011.04.032
   Georgakakos K. P., 2007, HYDROLOGIC RES CTR G, VCEC-500-2006-109
   Georgakakos K. P., 2013, HYDROLOGIC RES CTR G, VCEC-500-2014-019
   Georgakakos K.P., 2005, Eos, Transactions American Geophysical Union, V86, P122
   Georgakakos K.P., 2018, INTEGRATED FORECAST
   Georgakakos KP, 2008, J APPL METEOROL CLIM, V47, P1297, DOI 10.1175/2007JAMC1671.1
   Gibbons M, 1999, NATURE, V402, pC81, DOI 10.1038/35011576
   Gleick P.H., 2015, Impacts of California's ongoing drought: hydroelectricity generation
   Gordon E.S., 2016, Climate in Context: Science and Society Partnering for Adaptation, P235, DOI 10
   Graham NE, 2010, J APPL METEOROL CLIM, V49, P557, DOI 10.1175/2009JAMC2135.1
   Guido Z, 2016, WEATHER CLIM SOC, V8, P285, DOI 10.1175/WCAS-D-15-0076.1
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hanemann WM, 2006, WATER CRISIS: MYTH OR REALITY?, P61
   Hanemann WM, 2000, CLIMATIC CHANGE, V45, P571, DOI 10.1023/A:1005665810965
   Howarth C, 2017, ENVIRON SCI POLICY, V75, P103, DOI 10.1016/j.envsci.2017.05.019
   Ingram H., 2006, International Environmental Agreements: Politics, Law and Economics, V6, P429, DOI 10.1007/s10784-006-9021-3
   Ingram H., 2008, CLIMATE CHANGE SCI P, P7
   Ingram H., 2008, EXECUTIVE SUMMARY DE, P1
   Iyengar S, 2019, P NATL ACAD SCI USA, V116, P7656, DOI 10.1073/pnas.1805868115
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Jacobs K, 2016, P NATL ACAD SCI USA, V113, P4591, DOI 10.1073/pnas.0813125107
   Jacobs KL, 2003, ENVIRONMENT, V45, P30, DOI 10.1080/00139150309604521
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jolibert C, 2012, ENVIRON SCI POLICY, V22, P100, DOI 10.1016/j.envsci.2012.06.012
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kallis G, 2009, ENVIRON SCI POLICY, V12, P631, DOI 10.1016/j.envsci.2009.07.002
   Karambelkar S., 2017, HYDROPOWER OPERATION
   Kiker GA, 2006, NATO SCI PEACE SECUR, V6, P203
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Kiparsky M, 2012, ANNU REV ENV RESOUR, V37, P163, DOI 10.1146/annurev-environ-050311-093931
   Kirchhoff CJ, 2016, WATER RESOUR RES, V52, P2951, DOI 10.1002/2015WR018431
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P77, DOI 10.1016/j.crm.2015.05.002
   Kirchhoff CJ, 2013, CLIMATIC CHANGE, V119, P495, DOI 10.1007/s10584-013-0703-x
   Kirchhoff CJ, 2013, ENVIRON SCI POLICY, V26, P6, DOI 10.1016/j.envsci.2012.07.001
   Lach D, 2017, J SOUTHWEST, V59, P245, DOI 10.1353/jsw.2017.0013
   LAO, 2011, COMMUNICATION
   Lejano RP, 2009, ENVIRON SCI POLICY, V12, P653, DOI 10.1016/j.envsci.2008.09.005
   Lemos M. C., 2019, CENTURY PROGR ATMOSP, V59, DOI 10.1175/AMSMONOGRAPHS-D-18-0011.1
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Lemos MC, 2015, CURR OPIN ENV SUST, V12, P48, DOI 10.1016/j.cosust.2014.09.005
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lemos MC, 2008, J AM WATER RESOUR AS, V44, P1388, DOI 10.1111/j.1752-1688.2008.00231.x
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lewin K, 1946, J SOC ISSUES, V2, P34, DOI 10.1111/j.1540-4560.1946.tb02295.x
   Lindblom J, 2017, PRECIS AGRIC, V18, P309, DOI 10.1007/s11119-016-9491-4
   Lövbrand E, 2011, SCI PUBL POLICY, V38, P225, DOI 10.3152/030234211X12924093660516
   Lubell M, 2013, MAKING SPACE FOR THE RIVER: GOVERNANCE EXPERIENCES WITH MULTIFUNCTIONAL RIVER FLOOD MANAGEMENT IN THE US AND EUROPE, P63
   Marjolein BAV, 2002, GLOBAL ENVIRON CHANG, V12, P167
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   McCown RL, 2009, CROP PASTURE SCI, V60, P1017, DOI 10.1071/CP08455
   McCown RL, 2002, AGR SYST, V74, P11, DOI 10.1016/S0308-521X(02)00020-3
   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
   Meadow A. M., 2017, ETHNOHISTORY NOAA RI
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Meehan K, 2018, SCI TECHNOL HUM VAL, V43, P759, DOI 10.1177/0162243917745601
   Meyer R, 2015, CLIM RISK MANAG, V9, P50, DOI 10.1016/j.crm.2015.04.002
   Mockrin MH, 2018, ENVIRON MANAGE, V62, P210, DOI 10.1007/s00267-018-1030-9
   Moore D., 2010, Water Alternatives, V3, P3
   Moser SC, 2016, CURR OPIN ENV SUST, V20, P106, DOI 10.1016/j.cosust.2016.10.007
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Owen D, 2008, ENVIRON LAW, V37, P1145
   Peterson ND, 2010, CLIM DEV, V2, P14, DOI 10.3763/cdev.2010.0033
   PG&E, 2016, CLIM CHANG VULN ASS
   PIEREA, 2003, PUBL INT EN RES PROG, V500-03-025FS
   Polk M, 2014, SUSTAIN SCI, V9, P439, DOI 10.1007/s11625-014-0247-7
   Postel S.L. B.D. Richter., 2003, Rivers for Life: Managing Water for People and Nature
   Poteete AR, 2010, WORKING TOGETHER: COLLECTIVE ACTION, THE COMMONS, AND MULTIPLE METHODS IN PRACTICE, P1
   Prieto M, 2012, WATER INT, V37, P131, DOI 10.1080/02508060.2012.662731
   Prokopy LS, 2015, J EXT, V53
   Prost L, 2012, AGRON SUSTAIN DEV, V32, P581, DOI 10.1007/s13593-011-0059-4
   Pulwarty RS, 2014, WEATHER CLIM EXTREME, V3, P14, DOI 10.1010/j.wace.2014.03.005
   Pulwarty RS, 1997, B AM METEOROL SOC, V78, P381, DOI 10.1175/1520-0477(1997)078<0381:CASRIT>2.0.CO;2
   Pulwarty RS, 2001, J ENVIRON MANAGE, V63, P307, DOI 10.1006/jema.2001.0494
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Rayner S, 2019, WEATHER CLIM SOC, V11, P277, DOI 10.1175/WCAS-D-18-0103.1
   Redmond K., 2004, 14 C APPL CLIM SEATT, V3
   Rice JL, 2009, J AM WATER RESOUR AS, V45, P1248, DOI 10.1111/j.1752-1688.2009.00358.x
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Roncoli C, 2016, NAT RESOUR FORUM, V40, P6, DOI 10.1111/1477-8947.12095
   Roncoli C, 2011, AGR HUM VALUES, V28, P123, DOI 10.1007/s10460-010-9257-y
   Roncoli Carla., 2009, Anthropology and Climate Change: From Encounters to Actions, P87
   Salter J, 2010, WIRES CLIM CHANGE, V1, P697, DOI 10.1002/wcc.73
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Schlager E, 2008, EMBRACING WATERSHED POLITICS, P1
   Soares MB, 2016, CLIMATIC CHANGE, V137, P89, DOI 10.1007/s10584-016-1671-8
   SOLECKI WD, 1994, ENVIRON MANAGE, V18, P587, DOI 10.1007/BF02400861
   Stevenson J., 2016, Connecting climate information with practical uses: Extension and the NOAA RISA program, P75, DOI [DOI 10.1002/9781118474785.CH4, 10.1002/9781118474785.ch4]
   Swiger M., 2015, ENERGY LAW T
   Tarroja B, 2016, ENERGY, V111, P295, DOI 10.1016/j.energy.2016.05.131
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/CL-2011-032, DOI 10.1163/CL-2011-032]
   Toumey C, 2017, NAT NANOTECHNOL, V12, P934, DOI 10.1038/nnano.2017.211
   van Kerkhoff L, 2006, ANNU REV ENV RESOUR, V31, P445, DOI 10.1146/annurev.energy.31.102405.170850
   Viers JH, 2011, J AM WATER RESOUR AS, V47, P655, DOI 10.1111/j.1752-1688.2011.00531.x
   Voisin N, 2018, B AM METEOROL SOC, V99, P299, DOI [10.1175/BAMS-D-16-0253.1, 10.1175/bams-d-16-0253.1]
   Voisin N, 2016, ENERGY, V115, P1, DOI 10.1016/j.energy.2016.08.059
   WANDSCHNEIDER PR, 1986, J ECON ISSUES, V20, P87, DOI 10.1080/00213624.1986.11504473
   Willis A., 2011, San Francisco Estuary and Watershed Science, V9, P2, DOI [DOI 10.15447/SFEWS.2014V9ISS2ART3, 10.15447/sfews.2011v9iss2art3]
   Yao H, 2001, J HYDROL, V249, P176, DOI 10.1016/S0022-1694(01)00418-8
   Zhang XD, 2016, APPL ENERG, V183, P77, DOI 10.1016/j.apenergy.2016.08.156
   Ziaja S., 2015, Hastings West-Northwest Journal of Environmental Law Policy, V21, P217
   Ziaja SFP, 2017, NAT RESOUR J, V57, P329
NR 156
TC 8
Z9 8
U1 1
U2 18
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 1948-8327
EI 1948-8335
J9 WEATHER CLIM SOC
JI Weather Clim. Soc.
PD OCT
PY 2019
VL 11
IS 4
BP 823
EP 849
DI 10.1175/WCAS-D-19-0007.1
PG 27
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 IX8GO
UT WOS:000485924500001
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Chidumayo, EN
AF Chidumayo, Emmanuel N.
TI Biotic interactions, climate and disturbance underlie the distribution
   of two <i>Julbernardia</i> tree species in miombo woodlands of Africa
SO JOURNAL OF TROPICAL ECOLOGY
LA English
DT Article
DE distribution; dominance; Julbernardia; miombo; potential
   evapo-transpiration; species richness; Zambia
ID SOUTHERN AFRICA; CHARCOAL PRODUCTION; NATIONAL-PARK; VEGETATION;
   BIOMASS; CULTIVATION; SAVANNA; RESERVE; AREA; COMMUNITIES
AB Occurrence data for Julbernardia globiflora and J. paniculata at 617 sites in the miombo woodland region of central, eastern and southern Africa and forest inventory data for 512 woodland plots in Zambia were used to determine species distribution and dominance. Distribution of the two Julbernardia species overlaps in the central region of the miombo woodland range while the eastern and western range regions are exclusively for only one of the two species. In the region of co-occurrence, there is a clear spatial separation in the dominance of the two species. In old-growth woodland a significant proportion of the variation in the dominance of J. globiflora was explained by the dominance of J. paniculata while mean annual maximum temperature and tree species richness negatively affect the dominance of J. paniculata. Old-growth woodland clearing changes the local climatic conditions and alters the way Julbernardia species in re-growth stands respond to potential evapo-transpiration (PET). Climate change, especially global warming, may further reinforce the impacts of PET to differentially favour J. globiflora. Because of this altered response of Julbernardia species in re-growth miombo, preserving old-growth miombo and preventing present human disturbances in designated areas, such as forest reserves andnational parks, may be a useful climate adaptation strategy for these species.
C1 [Chidumayo, Emmanuel N.] Makeni Savanna Res Project, POB 50323, Lusaka, Zambia.
RP Chidumayo, EN (corresponding author), Makeni Savanna Res Project, POB 50323, Lusaka, Zambia.
EM echidumayo@gmail.com
FU Government of the Republic of Zambia through the Ministry of Landsand
   Natural Resources; SWECO Energuide AB of Sweden
FX Forest surveys conducted from 1980 to 1986 were funded by the Government
   of the Republic of Zambia through the Ministry of Landsand Natural
   Resources when the author was Conservator of Natural Resources and I am
   grateful to the many Natural Resources officers who participated in the
   fieldwork. Access to the 2005-2008 field inventory data was provided by
   the Forestry Department and the Food and Agriculture Organization (FAO)
   of the United Nations. In this respect, the assistance of Mrs Anne
   Chileshe Masinja, the then Director of Forestry Department, Mr Bwalya
   Chendauka, Mr Abel Siampale and Mr Jackson Mukosha at Forestry
   Department in Lusaka and Ms Celestina Lwatula at FAO, Lusaka Office, is
   deeply acknowledged. Messrs Joe Lwambo and Henry M. Luwaya and Ms
   Mutinta Matambo participated in the 2015 survey that was funded by SWECO
   Energuide AB of Sweden.
CR Abbot PG, 1999, FOREST ECOL MANAG, V119, P111, DOI 10.1016/S0378-1127(98)00516-7
   ANALYTICAL SOFTWARE, 1985, STATISTIX 9 0
   [Anonymous], VEGETATION ZAMBIA
   [Anonymous], THESIS
   [Anonymous], BIOTECHNOLOGY AGRONO
   [Anonymous], DRY WOODLANDS NYASAL
   [Anonymous], 1997, SYSTAT 7 0 WINDOWS
   Backéus I, 2006, FOREST ECOL MANAG, V230, P171, DOI 10.1016/j.foreco.2006.04.033
   Baldocchi DD, 2005, ECOL STU AN, V176, P131
   Banda T, 2008, FOREST ECOL MANAG, V255, P3382, DOI 10.1016/j.foreco.2008.01.079
   Banda T, 2006, FOREST ECOL MANAG, V230, P179, DOI 10.1016/j.foreco.2006.04.032
   BOALER SB, 1966, J ECOL, V54, P577, DOI 10.2307/2257803
   Bonnefille R, 2010, GLOBAL PLANET CHANGE, V72, P390, DOI 10.1016/j.gloplacha.2010.01.015
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Ceriaco L.M.P., 2014, Herpetological Review, V45, P667
   Chapano C., 2013, Journal of Biodiversity and Environmental Sciences (JBES), V3, P133
   CHIBINGA O. C., 2016, INT J APPL PURE SCI, V2, P61
   Chidumayo EN, 2013, FOREST ECOL MANAG, V291, P154, DOI 10.1016/j.foreco.2012.11.031
   Chidumayo E. N., 2002, Forests, Trees and Livelihoods, V12, P175
   Chidumayo EN, 2016, BIODIVERS CONSERV, V25, P711, DOI 10.1007/s10531-016-1086-x
   CHIDUMAYO EN, 1991, BIORESOURCE TECHNOL, V37, P43, DOI 10.1016/0960-8524(91)90110-6
   CHIDUMAYO EN, 1987, FOREST ECOL MANAG, V20, P105, DOI 10.1016/0378-1127(87)90153-8
   Chinuwo T, 2010, AFR J RANGE FOR SCI, V27, P45, DOI 10.2989/10220111003703500
   Chomba C., 2013, Open Journal of Ecology, V3, P532, DOI 10.4236/oje.2013.38062
   Cole M. M., 1986, The savannas, biogeography and geobotany.
   COLE MM, 1963, GEOGR J, V129, P290, DOI 10.2307/1794828
   Daru BH, 2016, J BIOGEOGR, V43, P155, DOI 10.1111/jbi.12619
   Dean WRJ., 2001, Important Bird Areas in Africa and associated islands. Priority sites for conservation, P71
   Eriksen C, 2007, GEOGR J, V173, P242, DOI 10.1111/j.1475-4959.2007.00239.x
   FANSHAWE D. B., 1965, CHECK LIST VERNACULA
   Fisher JB, 2011, GLOBAL ECOL BIOGEOGR, V20, P1, DOI 10.1111/j.1466-8238.2010.00578.x
   Frost P., 1996, MIOMBO TRANSITION WO
   GRUNDY IM, 1993, FOREST ECOL MANAG, V56, P243, DOI 10.1016/0378-1127(93)90116-5
   Handavu F., 2011, Journal of Ecology and the Natural Environment, V3, P461
   Hansen MC, 2002, REMOTE SENS ENVIRON, V83, P320, DOI 10.1016/S0034-4257(02)00080-9
   Hoffmann WA, 2000, J CLIMATE, V13, P1593, DOI 10.1175/1520-0442(2000)013<1593:VCFITC>2.0.CO;2
   Ivory SJ, 2012, QUATERNARY RES, V77, P77, DOI 10.1016/j.yqres.2011.11.005
   JACHMANN H, 1985, AFR J ECOL, V23, P245, DOI 10.1111/j.1365-2028.1985.tb00955.x
   Jew EKK, 2016, FOREST ECOL MANAG, V361, P144, DOI 10.1016/j.foreco.2015.11.011
   KAMANGADAZI F., 2016, INT J SCI RES ENV SC, V4, P47
   KAMWENDO J. S., 2001, ASSESSMENT CONSERVAT, P92
   Kuyah S, 2014, BIOMASS BIOENERG, V66, P214, DOI 10.1016/j.biombioe.2014.02.005
   LAWTON RM, 1978, J ECOL, V66, P175, DOI 10.2307/2259187
   Lodwick G. D., 1970, Australian Computer Journal, V2, P104
   Malaisse F., 1975, Tropical ecological systems., P137
   MALAISSE F, 1986, B SOC ROY BOT BELG, V119, P161
   MANSFIELD J. E., 1976, LAND RESOURCES NO LU, V4
   Mapanda F, 2013, SOIL TILL RES, V129, P75, DOI 10.1016/j.still.2013.01.008
   Mapaure I., 2013, African Journal of Plant Science, V7, P414
   McCune B., 2006, PC ORD MULTIVARIATE
   McNicol IM, 2015, ECOL APPL, V25, P2320, DOI [10.1890/14-2165.1.sm, 10.1890/14-2165.1]
   Missanjo E., 2014, J BIODIVERSITY MANAG, V3, P1, DOI DOI 10.4172/2327-4417.1000127
   Muboko N., 2013, Journal of Applied Sciences and Environmental Management, V17, P475
   Munishi PKT., 2010, J Ecol Nat Enviro, V2, P261
   Muposhi VK, 2014, J ANIM PLANT SCI-PAK, V24, P1680
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   O'Brien EM, 2006, J BIOGEOGR, V33, P1868, DOI 10.1111/j.1365-2699.2006.01534.x
   Obiri J., 2010, Degraded Forests and Forestry in Tanzania, P109
   OBRIEN EM, 1993, J BIOGEOGR, V20, P181, DOI 10.2307/2845670
   OYAMA S., 1996, AFRICAN STUDY MONOGR, V17, P101, DOI [DOI 10.14989/68149, DOI 10.1007/s10457-015-9841-7]
   PIEDADE A. F., 2013, THESIS
   PIENAAR B., 2015, THESIS
   RAYNES J., 2007, KALUKUNDI FLORA
   REES WA, 1974, J APPL ECOL, V11, P207, DOI 10.2307/2402015
   Ribeiro NS, 2008, FOREST ECOL MANAG, V255, P1626, DOI 10.1016/j.foreco.2007.11.033
   Ribeiro Natasha S, 2013, Carbon Balance Manag, V8, P11, DOI 10.1186/1750-0680-8-11
   Ryan CM, 2011, BIOTROPICA, V43, P423, DOI 10.1111/j.1744-7429.2010.00713.x
   SAVORY B. M., 1962, ZAMBIA FOREST DEP RE, V6, P1
   Shea RW, 1996, J GEOPHYS RES-ATMOS, V101, P23551, DOI 10.1029/95JD02047
   Shelukindo H. B., 2014, International Journal of Agricultural Policy and Research, V2, P167
   Shirima DD, 2015, BASIC APPL ECOL, V16, P239, DOI 10.1016/j.baae.2014.11.008
   SHUKLA J, 1982, SCIENCE, V215, P1498, DOI 10.1126/science.215.4539.1498
   SINGO I. K. M., 2007, THESIS
   Smith PP, 1998, BOTHALIA, V28, P197, DOI 10.4102/abc.v28i2.641
   STRANG RM, 1974, J APPL ECOL, V11, P249, DOI 10.2307/2402019
   STROMGAARD P, 1985, FOREST ECOL MANAG, V12, P163, DOI 10.1016/0378-1127(85)90089-1
   Thomas DSG, 2002, QUATERNARY SCI REV, V21, P783, DOI 10.1016/S0277-3791(01)00127-5
   TRAPNELL C. G., 1996, SOILS VEGETATION TRA, VII
   VINYA R., 2010, THESIS
   Werger M. J. A., 1978, Biogeography and ecology of Southern Africa. Vol.1., P301
   White F., 1983, Natural Resources Research, UNESCO, V20
   WUTA M., 2013, SAVANNAS CLIMATE BIO, P1
   Zambia Forestry Department and Food and Agriculture Organization of the United Nations, 2009, INT LAND US ASS ILUA
   Zimudzi C., 2013, Journal of Biodiversity and Environmental Sciences (JBES), V3, P17
   Zingore S, 2005, EUR J SOIL SCI, V56, P727, DOI 10.1111/j.1365-2389.2005.00707.x
NR 85
TC 7
Z9 7
U1 0
U2 20
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0266-4674
EI 1469-7831
J9 J TROP ECOL
JI J. Trop. Ecol.
PD JAN
PY 2017
VL 33
BP 1
EP 11
DI 10.1017/S0266467416000584
PN 1
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EI1EK
UT WOS:000392218900001
DA 2025-01-10
ER

PT J
AU Darbyshire, R
   Measham, P
   Goodwin, I
AF Darbyshire, R.
   Measham, P.
   Goodwin, I.
TI A crop and cultivar-specific approach to assess future winter chill risk
   for fruit and nut trees
SO CLIMATIC CHANGE
LA English
DT Article
ID CLIMATE-CHANGE; TEMPERATURE-DEPENDENCE; DORMANCY BREAKING;
   DYNAMIC-MODEL; BUD DORMANCY; APPLE; REQUIREMENTS; TRENDS; IMPACT; GROWTH
AB Anthropogenic climate change will influence winter chill accumulation, with future declines likely in temperate locations. However, these declines only translate as impacts when cultivar winter chilling requirements are not satisfied. This study presents a methodology to evaluate future impacts of declining winter chill through a cultivarspecific approach which is useful for growers, industry and policy-makers to develop adaptation strategies. A risk based system was applied to represent the likelihood of meeting cultivar chilling requirements using low, medium, medium-high and high risk ratings based on percentiles. This was combined with climate projection uncertainty graphically at 16 Australian growing districts historically (1981-2010) and for 2030, 2050 and 2090. The results demonstrated that impacts and likely adaptation options differed between cultivars, some recording limited risk at all sites out to 2090 ('Nonpareil' almond) whilst others recorded greater risk both historically and into the future ('Chandler' walnut). Notably, risk differed across sites and with the future time period. These results highlight which cultivars are susceptible to low winter chill conditions, where this risk does and does not manifest and the different time horizons at which the risk will materialise across Australia's main growing districts. Using this approach, changes in winter chill conditions are presented in a useable form which allows for appropriate climate adaptation strategies to be developed, securing the industries into the future.
C1 [Darbyshire, R.; Goodwin, I.] Univ Melbourne, Fac Vet & Agr Sci, Melbourne, Vic, Australia.
   [Measham, P.] Univ Tasmania, Tasmanian Inst Agr, Hobart, Tas 7001, Australia.
   [Goodwin, I.] Victorian Govt, Dept Econ Dev Jobs Transport & Resources, Tatura, Australia.
C3 University of Melbourne; University of Tasmania; Government of Victoria;
   Department of Economic Development, Jobs, Transport & Resources
RP Darbyshire, R (corresponding author), Univ Melbourne, Fac Vet & Agr Sci, Melbourne, Vic, Australia.
EM rebecca.darbyshire@dpi.nsw.gov.au
RI Darbyshire, Rebecca/AAI-3945-2021
OI , Penelope/0000-0001-8037-6144; Darbyshire, Rebecca/0000-0003-4712-8514
FU Australian Department of Agriculture and Water Resources
FX The authors thank Mark O'Connell, Jennifer Whitney and Walnuts Australia
   for advice on cultivar selection and Australian growing regions. Funding
   for this research was provided by the Australian Department of
   Agriculture and Water Resources.
CR Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   Allderman L. A., 2011, South African Journal of Plant and Soil, V28, P103
   [Anonymous], 2015, TECH REP
   [Anonymous], 2012, CHILLING REQUIREMENT
   Atkinson CJ, 2013, ENVIRON EXP BOT, V91, P48, DOI 10.1016/j.envexpbot.2013.02.004
   Baldocchi D, 2008, CLIMATIC CHANGE, V87, pS153, DOI 10.1007/s10584-007-9367-8
   Campoy JA, 2011, SCI HORTIC-AMSTERDAM, V130, P357, DOI 10.1016/j.scienta.2011.07.011
   Campoy JA, 2012, EUR J AGRON, V37, P43, DOI 10.1016/j.eja.2011.10.004
   Charrier G, 2011, INT J BIOMETEOROL, V55, P763, DOI 10.1007/s00484-011-0470-1
   Chmielewski FM, 2012, CLIM RES, V54, P209, DOI 10.3354/cr01115
   Clarke JM, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P2683
   Darbyshire R, 2013, INT J BIOMETEOROL, V57, P355, DOI 10.1007/s00484-012-0558-2
   Darbyshire R, 2011, AGR FOREST METEOROL, V151, P1074, DOI 10.1016/j.agrformet.2011.03.010
   Dennis FG, 2003, HORTSCIENCE, V38, P347, DOI 10.21273/HORTSCI.38.3.347
   El-Yazal MAS, 2012, SCI HORTIC-AMSTERDAM, V136, P75, DOI 10.1016/j.scienta.2012.01.001
   EREZ A, 1990, ACTA HORTIC, V276, P165, DOI 10.17660/ActaHortic.1990.276.18
   Erez A, 2000, BUD DORMANCY PHENOME, P17
   Finetto GA, 2014, ACTA HORTIC, P115
   FISHMAN S, 1987, J THEOR BIOL, V126, P309, DOI 10.1016/S0022-5193(87)80237-0
   FISHMAN S, 1987, J THEOR BIOL, V124, P473, DOI 10.1016/S0022-5193(87)80221-7
   GHARIANI K, 1994, FRUIT VARIETIES J, V48, P215
   Guo L, 2015, AGR FOREST METEOROL, V201, P1, DOI 10.1016/j.agrformet.2014.10.016
   Guo L, 2013, AGR FOREST METEOROL, V180, P164, DOI 10.1016/j.agrformet.2013.06.004
   HENNESSY KJ, 1995, CLIMATIC CHANGE, V30, P327, DOI 10.1007/BF01091930
   Jones DA, 2009, AUST METEOROL OCEAN, V58, P233, DOI 10.22499/2.5804.003
   Joyce C, 2015, PGA CHILL NEWSLETTER, P6
   Jun M, 2008, J AM STAT ASSOC, V103, P934, DOI 10.1198/016214507000001265
   LINVILL DE, 1990, HORTSCIENCE, V25, P14, DOI 10.21273/HORTSCI.25.1.14
   Luedeling E, 2013, AGR FOREST METEOROL, V181, P33, DOI 10.1016/j.agrformet.2013.06.018
   Luedeling E, 2012, SCI HORTIC-AMSTERDAM, V144, P218, DOI 10.1016/j.scienta.2012.07.011
   Luedeling E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020155
   Luedeling E, 2011, INT J BIOMETEOROL, V55, P411, DOI 10.1007/s00484-010-0352-y
   Luedeling E, 2009, AGR FOREST METEOROL, V149, P1854, DOI 10.1016/j.agrformet.2009.06.013
   Luedeling E, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006166
   Luedeling E, 2009, CLIMATIC CHANGE, V96, P219, DOI 10.1007/s10584-009-9581-7
   Mahmood K, 2000, J HORTIC SCI BIOTECH, V75, P598, DOI 10.1080/14620316.2000.11511292
   Measham PF, 2014, HORTSCIENCE, V49, P254, DOI 10.21273/HORTSCI.49.3.254
   Miranda C, 2013, AGR FOREST METEOROL, V178, P129, DOI 10.1016/j.agrformet.2013.04.016
   Moise A, 2015, AUST METEOR IN PRESS
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Oukabli A, 2003, J HORTIC SCI BIOTECH, V78, P580, DOI 10.1080/14620316.2003.11511667
   Pérez FJ, 2008, CHIL J AGR RES, V68, P198
   Petri JL, 2004, ACTA HORTIC, P53, DOI 10.17660/ActaHortic.2004.662.4
   Pistachio Growers Association, 2015, TOT PROD PIST
   Pope K., 2015, Fruit Nut Crop Chill Portions Requirements
   Ramirez L., 2010, Acta Horticulturae, P107
   Ruiz D, 2007, ENVIRON EXP BOT, V61, P254, DOI 10.1016/j.envexpbot.2007.06.008
   Saure M. C., 1985, Horticultural Reviews, V7, P239, DOI 10.1002/9781118060735.ch6
   Selvaraju R, 2011, CLIM RES, V47, P95, DOI 10.3354/cr00954
   Smith I, 2010, CLIMATIC CHANGE, V102, P377, DOI 10.1007/s10584-009-9757-1
   Sunley RJ, 2006, J HORTIC SCI BIOTECH, V81, P949, DOI 10.1080/14620316.2006.11512181
   Viti R, 2010, SCI HORTIC-AMSTERDAM, V124, P217, DOI 10.1016/j.scienta.2010.01.001
   Voller C. F. P., 1986, Deciduous Fruit Grower, V36, P302
   Webb LB, 2012, NAT CLIM CHANGE, V2, P259, DOI [10.1038/NCLIMATE1417, 10.1038/nclimate1417]
   Whetton P, 2012, CLIMATIC CHANGE, V115, P433, DOI 10.1007/s10584-012-0471-z
   Zhang JL, 2011, HORTSCIENCE, V46, P420, DOI 10.21273/HORTSCI.46.3.420
NR 56
TC 19
Z9 19
U1 0
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD AUG
PY 2016
VL 137
IS 3-4
BP 541
EP 556
DI 10.1007/s10584-016-1692-3
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DR7OK
UT WOS:000380089400017
DA 2025-01-10
ER

PT J
AU Díaz, R
   Johnsen, O
   Fernández-López, J
AF Diaz, Raquel
   Johnsen, Oystein
   Fernandez-Lopez, Josefa
TI Variation in spring and autumn freezing resistance among and within
   Spanish wild populations of <i>Castanea sativa</i>
SO ANNALS OF FOREST SCIENCE
LA English
DT Article
DE wild chestnut; genetic variation; freeze testing; phenological traits;
   frost resistance
ID COASTAL DOUGLAS-FIR; OPEN-POLLINATED FAMILIES; 16 EUROPEAN PROVENANCES;
   COLD-HARDINESS; GENETIC-VARIATION; FROST HARDINESS; CLIMATIC ADAPTATION;
   BUD SET; MILL.; TEMPERATURE
AB Genetic variation in freezing resistance was evaluated among and within six populations of Spanish wild chestnut (Castanea sativa Miller). The extent to which frost susceptibility was related to phenology and the relationship between population differentiation and climatic conditions was studied.
   Twigs were collected in March and November from saplings (5-year-old trees) of 41 open-pollinated families from the six populations in a provenance-progeny test, and were subjected to artificial freezing. Damage to each twig was assessed as visible browning of bud and of stem tissues.
   Population differences as regards frost damage traits were highly significant (p < 0.01) in both spring and autumn. Family differences within populations were low, often non-significant, and in all cases smaller than differences among populations. Population means were closely correlated with the parental drought and frost conditions. Populations originating from dry areas or from regions where frost seldom occurs were the least resistant.
   Drought is suggested to be the one of the most important selective agents that shapes population differentiation in Spanish wild chestnut, while frost may be more important in northern Spain. Phenological differences are not always good predictors of the degree of frost damage. Thus, freezing tests should be used to detect frost susceptibility in chestnuts.
C1 [Diaz, Raquel; Fernandez-Lopez, Josefa] Ctr Invest Forestal Lourizan, Dept Prod Forestal, Pontevedra 36080, Spain.
   [Johnsen, Oystein] Norwegian Forest & Landscape Inst, As, Norway.
C3 The Norwegian Forest & Landscape Institute
RP Díaz, R (corresponding author), Ctr Invest Forestal Lourizan, Dept Prod Forestal, Apdo 127, Pontevedra 36080, Spain.
EM rdiaz.cifal@siam-cma.org
RI Fernández-López, Josefa/R-5271-2018; Diaz, Raquel/ABH-2944-2020
OI Diaz, Raquel/0000-0003-0748-7192; Fernandez-Lopez,
   Josefa/0000-0003-4216-3417
FU 'INIA-CCAA' postdoctoral fellowship; EU 092 CASTANEAREG
FX The authors are grateful to Antonio Gonzalez and Eva Alonso for their
   assistance in assessment of the frost assays. R. D. was funded by an
   'INIA-CCAA' postdoctoral fellowship. The study was financed by the EU
   092 CASTANEAREG project (INTERREG III programme).
CR Aira Rodriguez M. J., 1995, Lagascalia, V18, P25
   Aitken SN, 1996, CAN J FOREST RES, V26, P1828, DOI 10.1139/x26-208
   Aldrete A, 2008, FOREST ECOL MANAG, V255, P3672, DOI 10.1016/j.foreco.2008.02.054
   ALEXANDER NL, 1984, ECOLOGY, V65, P1087, DOI 10.2307/1938316
   [Anonymous], 1987, FROST SURVIVAL PLANT
   [Anonymous], 1998, Genetics and Analysis of Quantitative Traits (Sinauer)
   [Anonymous], 1990, Atlas fitoclimatico de Espana
   [Anonymous], B REAL SOC ESPANOLA
   Baliuckas V, 1999, SILVAE GENET, V48, P17
   CALKINS JB, 1990, CRYOBIOLOGY, V27, P194, DOI 10.1016/0011-2240(90)90012-S
   CANNELL MGR, 1987, FORESTRY, V60, P57, DOI 10.1093/forestry/60.1.57
   DEANS JD, 1995, FORESTRY, V68, P265, DOI 10.1093/forestry/68.3.265
   Deans JD, 1996, FORESTRY, V69, P5, DOI 10.1093/forestry/69.1.5
   DIA R, 2006, ACTA HORTIC, V705, P103
   EIGA S, 1984, CAN J BOT, V62, P156, DOI 10.1139/b84-025
   Eriksson G, 2001, INTRO FOREST GENETIC
   Fernández M, 2007, ANN FOREST SCI, V64, P865, DOI 10.1051/forest:2007071
   Fernández-López J, 2005, ACTA HORTIC, P181, DOI 10.17660/ActaHortic.2005.693.21
   Fernandez-Lopez J., 2005, Investigacion Agraria, Sistemas y Recursos Forestales, V14, P13
   Ferrazzini D, 2007, ANN FOREST SCI, V64, P159, DOI 10.1051/forest:2006100
   Fineschi S, 2000, MOL ECOL, V9, P1495, DOI 10.1046/j.1365-294x.2000.01029.x
   FLINT HL, 1972, ECOLOGY, V53, P1163, DOI 10.2307/1935430
   HANNINEN H, 1990, TREE PHYSIOL, V6, P29, DOI 10.1093/treephys/6.1.29
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Jensen JS, 2004, SCAND J FOREST RES, V19, P390, DOI 10.1080/02827580410019391
   Jermstad KD, 2001, THEOR APPL GENET, V102, P1142, DOI 10.1007/s001220000505
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Johnsen O, 2000, CAN J FOREST RES, V30, P1858, DOI 10.1139/cjfr-30-12-1858
   Johnsen O, 1989, SCAND J FOREST RES, V4, P351, DOI 10.1080/02827588909382572
   JOLY RJ, 1989, FOREST SCI, V35, P987
   Krebs P, 2004, VEG HIST ARCHAEOBOT, V13, P145, DOI 10.1007/s00334-004-0041-z
   Lauteri M, 2004, J EVOLUTION BIOL, V17, P1286, DOI 10.1111/j.1420-9101.2004.00765.x
   Liepe K, 1993, ANN SCIENC FOR VOL, V50, p208S, DOI 10.1051/forest:19930719
   Linkosalo T, 2006, TREE PHYSIOL, V26, P1165, DOI 10.1093/treephys/26.9.1165
   Manino A., 1991, Acta Horticulturae (Wageningen), V288, P335
   McCamant T, 2000, CAN J FOREST RES, V30, P91, DOI 10.1139/cjfr-30-1-91
   MIRANDAFONTAINA ME, 2006, POPULATION GENETICS
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   OLIVEIRA D, 2001, ACTA HORTIC, V561, P269
   Pliura A, 2002, SILVAE GENET, V51, P152
   *SAS, 1999, GETT START SAS SYST
   Saxe H, 2001, NEW PHYTOL, V149, P369, DOI 10.1046/j.1469-8137.2001.00057.x
   Skroppa T., 1984, Studio Forestalia Svecica, V166, P3
   SMITHBERG MH, 1968, ECOLOGY, V49, P495, DOI 10.2307/1934116
   Squillace A. E., 1974, Silvae Genetica, V23, P149
   Stern K., 1974, GENETICS FOREST ECOS
   THOMAS BR, 1992, CAN J FOREST RES, V22, P1917, DOI 10.1139/x92-250
   Tsarouhas V, 2000, BIOMASS BIOENERG, V19, P165, DOI 10.1016/S0961-9534(00)00030-1
   WEISER CJ, 1970, SCIENCE, V169, P1269, DOI 10.1126/science.169.3952.1269
   WILCOX MD, 1980, AUST FOREST RES, V10, P169
NR 50
TC 11
Z9 11
U1 1
U2 18
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 OCT-NOV
PY 2009
VL 66
IS 7
AR 708
DI 10.1051/forest/2009059
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 508DA
UT WOS:000270906600008
DA 2025-01-10
ER

PT J
AU Tran, N
   Cao, QL
   Shikuku, KM
   Phan, TP
   Banks, LK
AF Tran, Nhuong
   Cao, Quyen Le
   Shikuku, Kelvin Mashisia
   Phan, Thanh Phuong
   Banks, Lauren K.
TI Profitability and perceived resilience benefits of integrated
   shrimp-tilapia-seaweed aquaculture in North Central Coast, Vietnam
SO MARINE POLICY
LA English
DT Article
DE Integrated aquaculture; Climate change; Cost-benefit analysis;
   Resilience; Vietnam
ID CLIMATE-SMART AGRICULTURE; FOOD SECURITY; FISH
AB Sustainability of aquaculture-dependent livelihoods under increasingly changing climate crucially depends on effective adaptation. However, empirical evidence about aquaculture farmers' adaptation to climatic shocks is inadequate. We study the private profitability and farmer perceived resilience effects of adaptation through polyculture of shrimp with mono-sex tilapia in North Central Coast (NCC), Vietnam. Data come from a survey with a random sample of 80 farmers including 25 farmers directly targeted with the intervention, 26 autonomous adopters, and 29 non-adopters. Majority of the respondents were male with an average age of 49 years and 17 years of experience in brackish water shrimp farming. Significantly more targeted than autonomous adopters and non-adopter households completed education beyond primary level. Similarly, more targeted than autonomous farmers and non-adopters participated in aquaculture producer and saving groups. Controlling for these differences in socioeconomic characteristics through a weighting procedure, we find higher economic gains and greater reductions in feed and pond preparation costs among farmers applying the integrated practice compared to non-integrative practices. Furthermore, farmers' perceptions indicate enhanced adaptive capacity with adoption of the shrimp-tilapia polyculture intervention. These results imply that promoting shrimp-tilapia polyculture is welfare-increasing in the presence of weather shocks. However, successful adoption and scaling of the practice will require increased investment to strengthen institutional capacity to facilitate access to markets and financial services by farmers.
C1 [Tran, Nhuong; Shikuku, Kelvin Mashisia; Banks, Lauren K.] WorldFish, Jalan Batu Maung, Batu Maung 11960, Penang, Malaysia.
   [Cao, Quyen Le; Phan, Thanh Phuong] Vietnam Inst Fisheries Econ & Planning, 10 Nguyen Cong Hoan, Hanoi, Vietnam.
C3 CGIAR; Worldfish
RP Tran, N (corresponding author), WorldFish, Jalan Batu Maung, Bayan Lepas 11960, Penang, Malaysia.
EM N.Tran@cgiar.org
OI Banks, Lauren/0000-0001-6197-4245; Mashisia Shikuku,
   Kelvin/0000-0003-2290-074X
FU CGIAR Trust Fund; CGIAR Research Program on Fish Agri-Food Systems
   (FISH)
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS) led by CIAT, which
   is carried out with support from the CGIAR Trust Fund and through
   bilateral funding agreements. For details please visit https://cca
   fs.cgiar.org/donors. Additional support was provided by the CGIAR
   Research Program on Fish Agri-Food Systems (FISH) led by WORLDFISH. The
   views expressed in this document cannot be taken to reflect the official
   opinions of these organizations.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Ahmed N, 2008, J WORLD AQUACULT SOC, V39, P598, DOI 10.1111/j.1749-7345.2008.00198.x
   Ahmed N, 2014, REV AQUACULT, V6, P20, DOI 10.1111/raq.12022
   [Anonymous], 2016, CLIMATE CHANGE INDIC
   [Anonymous], 2019, FishStatJ - Software for Fishery and Aquaculture Statistical Time Series
   [Anonymous], 2017, Working Paper: 2017-01
   [Anonymous], 2018, STATE WORLD FISHERIE, P210
   [Anonymous], 2002, IC4200110042 INCODEV
   [Anonymous], 2019, FAOSTAT statistical database
   [Anonymous], 2014, Sustainable Fisheries and Aquaculture for 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
   Asche F, 2015, WORLD DEV, V67, P151, DOI 10.1016/j.worlddev.2014.10.013
   Ayanda I.F., 2012, Journal of Agricultural Science, V3, P21
   Bene C, 2015, FOOD SECUR, V7, P261, DOI 10.1007/s12571-015-0427-z
   Bondad-Reantaso MG, 2012, J INVERTEBR PATHOL, V110, P158, DOI 10.1016/j.jip.2012.03.010
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   d'Errico M, 2018, WORLD DEV, V104, P78, DOI 10.1016/j.worlddev.2017.11.020
   FAO - Food and Agriculture Organization of the United Nations, 2009, 530 FAO
   Ferreira JG, 2015, AQUACULTURE, V447, P23, DOI 10.1016/j.aquaculture.2014.08.042
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Harper A., 1998, SMALL ENTERPRISE DEV, V9, P29, DOI DOI 10.3362/
   Kam S., 2012, AUTONOMOUS ADAPTATIO
   Kobayashi M, 2015, AQUACULT ECON MANAG, V19, P282, DOI 10.1080/13657305.2015.994240
   Lan L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207700
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Merino G, 2012, GLOBAL ENVIRON CHANG, V22, P795, DOI 10.1016/j.gloenvcha.2012.03.003
   Naylor RL, 2000, NATURE, V405, P1017, DOI 10.1038/35016500
   Tran N, 2017, MAR POLICY, V79, P25, DOI 10.1016/j.marpol.2017.02.002
   Tran N, 2013, WORLD DEV, V45, P325, DOI 10.1016/j.worlddev.2013.01.025
   Sain G, 2017, AGR SYST, V151, P163, DOI 10.1016/j.agsy.2016.05.004
   The Wolrd Bank, 2013, FISH 2030 PROSP FISH, P83177
   Trinh T., 2016, CLIMATE SMART AQUACU, P757
   Troell M., 2009, FAO Fisheries and Aquaculture Technical Paper, P47
   Troell M, 2014, P NATL ACAD SCI USA, V111, P13257, DOI 10.1073/pnas.1404067111
   VAYDA AP, 1975, ANNU REV ANTHROPOL, V4, P293, DOI 10.1146/annurev.an.04.100175.001453
   VIFEP, 2013, VIETN MAST PLAN FISH
NR 37
TC 13
Z9 17
U1 3
U2 21
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD OCT
PY 2020
VL 120
AR 104153
DI 10.1016/j.marpol.2020.104153
PG 11
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA NL5GW
UT WOS:000567445100008
DA 2025-01-10
ER

PT J
AU Haider, S
   Haq, F
   Mark, BG
AF Haider, Shamsheir
   Haq, Fazlul
   Mark, Bryan G.
TI Analyzing Precipitation Trends in the Cholistan Desert, Pakistan: A
   Statistical and GIS-Based Study
SO GEOGRAPHICA PANNONICA
LA English
DT Article
DE desert precipitation vari ability; Mann-Kendall trend test; Sen Slope
   Estimator; arid environment; Cholistan Desert
ID CLIMATE-CHANGE; QUANTIFYING UNCERTAINTY; VARIABILITY; RAINFALL
AB Climate change is driving significant shifts in temperature and precipitation patterns globally, with far-reaching socio-economic and environmental impacts, especially in arid regions. This study examines precipitation variability and long-term trends from 1980 to 2020 in Pakistan's Cholistan Desert, a region where water scarcity poses critical challenges for local communities and ecosystems. Using data from five meteorological stations, we applied a combination of Geographic Information System (GIS) techniques and statistical analyses to assess both seasonal fluctuations and annual trends in precipitation. The results reveal notable spatial variability in precipitation trends across the Cholistan Desert. Positive trends, indicating increased precipitation over time, were observed in the northwestern areas, particularly at the Bhagla, Khanpur, and Fort Abbas stations. In contrast, significant negative trends were detected in the southwestern areas, represented by the DinGarh and MaujGarh stations, where precipitation has steadily decreased over the study period. These contrasting trends reveal the diverse impacts of climate change within the desert pointing out the areas that may face heightened water scarcity. The ongoing shifts in precipitation necessitate targeted water management and climate adaptation strategies to address the challenges posed by these shifting precipitation patterns. For areas with declining trends, strategies focused on rainwater harvesting and conservation will be critical. Regions experiencing increased precipitation may require infrastructure improvements to manage and store water more effectively.
C1 [Haider, Shamsheir] Govt Coll Univ, Dept Geog, Faisalabad, Pakistan.
   [Haq, Fazlul; Mark, Bryan G.] Ohio State Univ, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA.
RP Haq, F (corresponding author), Ohio State Univ, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA.
EM haq.47@osu.edu
FU Pakistan Meteorological Department; Mershon Center for International
   Security Studies, Ohio State University
FX The authors want to express their gratitude to the Pakistan
   Meteorological Department for providing the data and support throughout
   the course of this research. We acknowledge the Department of Geography,
   Government College University Faisalabad, Pakistan, for providing the
   base and for the Ph.D. student and the first author and facilitating him
   through his higher studies. Additionally, the authors thank the Mershon
   Center for International Security Studies, Ohio State University, for
   supporting the corresponding author under the project "Water Diplomacy
   in the Age of Climate Change: Transboundary Indus Basin Water Conflict
   between Pakistan and India in the Context of Cryo-Hydro-Climatic
   Changes." Although no direct funds were used for this manuscript, the
   corresponding author is funded under this project, and the context and
   resources provided were invaluable.
CR Abbas S, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14020210
   Afzal M., 2017, Water Conservation and Management (WCM), V1, P15, DOI [10.26480/wcm.01.2017.15.18, DOI 10.26480/WCM.01.2017.15.18]
   Akram M, 2008, Future of Drylands, P483
   Almazroui M, 2012, ATMOS RES, V111, P29, DOI 10.1016/j.atmosres.2012.02.013
   Amouzay H, 2023, EARTH SYST ENVIRON, V7, P359, DOI 10.1007/s41748-023-00344-2
   Arshad S, 2022, J WATER CLIM CHANGE, V13, P4105, DOI 10.2166/wcc.2022.425
   Ashfaq M, 2015, PAK J AGR SCI, V52, P515
   Avellaneda N, 2023, BRIT J SURG, DOI 10.1093/bjs/znad370
   Badr HS, 2016, J CLIMATE, V29, P9027, DOI 10.1175/JCLI-D-16-0182.1
   Baig MRI, 2022, MODEL EARTH SYST ENV, V8, P2733, DOI 10.1007/s40808-021-01262-w
   Balogun V. S., 2023, Geography, Environment, Sustainability, V16, P6, DOI [10.24057/2071-9388-2022-001, DOI 10.24057/2071-9388-2022-001]
   Bashir F., 2018, Climate change extremes and rainfall variability over Pakistan
   Biasutti M, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.591
   Dawood M., 2022, Ecological Questions, V34, P109
   Dawood M., 2017, CLIM DYNAM, V48, P783, DOI DOI 10.1007/s00382-016-3110-y
   Dawood M, 2024, ENVIRON MONIT ASSESS, V196, DOI 10.1007/s10661-023-12175-9
   Dawood M, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3823-9
   Deng WF, 2019, QUATERNARY SCI REV, V206, P56, DOI 10.1016/j.quascirev.2018.12.027
   Ghorbani M, 2021, CLIM DEV, V13, P766, DOI 10.1080/17565529.2020.1841601
   Haider S., 2021, PalArch's Journal of Archaeology of Egypt/Egyptology, V18, P1778
   Hassan W, 2021, AGR WATER MANAGE, V256, DOI 10.1016/j.agwat.2021.107075
   Houston J, 2003, INT J CLIMATOL, V23, P1453, DOI 10.1002/joc.938
   Hu QF, 2019, WATER-SUI, V11, DOI 10.3390/w11030579
   Huang JP, 2016, CLIM DYNAM, V46, P1131, DOI 10.1007/s00382-015-2636-8
   IPCC, 2021, Climate change 2021: The physical science basis
   Kanwal S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12010008
   Khan A. A., 2020, Basic Research Journal of Agricultural Science and Review, V8, P38
   Malik, 2017, Pakistan Journal of Commerce and Social Sciences (PJCSS), V11, Iss, P1100
   Modarres R, 2007, J ARID ENVIRON, V70, P344, DOI 10.1016/j.jaridenv.2006.12.024
   Mumtaz KK., 1982, The Changing Rural Habitat; Volume, VI, P17
   Nath H, 2024, THEOR APPL CLIMATOL, V155, P3693, DOI 10.1007/s00704-024-04843-8
   Nordhaus W, 2018, AM ECON J-ECON POLIC, V10, P333, DOI 10.1257/pol.20170046
   Ozturk D, 2016, AN ACAD BRAS CIENC, V88, P2121, DOI 10.1590/0001-3765201620150103
   Qureshi R, 2008, PAK J BOT, V40, P979
   Rasheed S., 2018, Abasyn Journal of Social Sciences, V10, P193
   Saini D, 2022, THEOR APPL CLIMATOL, V148, P363, DOI 10.1007/s00704-021-03904-6
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Singh H, 2023, WATER PRACT TECHNOL, V18, P1681, DOI 10.2166/wpt.2023.100
   Singh R, 2019, CLIM DYNAM, V52, P3905, DOI 10.1007/s00382-018-4361-6
   Wagesho N, 2013, HYDROLOG SCI J, V58, P354, DOI 10.1080/02626667.2012.754543
   Wahla S. S., 2022, Pakistan Geographical Review, V77, P1
   Wang YF, 2020, ATMOS RES, V231, DOI 10.1016/j.atmosres.2019.104673
   Wariss H. M., 2013, American Journal of Plant Sciences, V4, P58
   Xu H, 2011, HYDROL EARTH SYST SC, V15, P333, DOI 10.5194/hess-15-333-2011
   Yu YD, 2024, WATER-SUI, V16, DOI 10.3390/w16020217
NR 45
TC 0
Z9 0
U1 0
U2 0
PU UNIV & NOVOM SADU, PRIRODNO-MATEMATICKI FAK
PI NOVI SAD
PA TRG DOSITEJA OBRADOVICA 4, NOVI SAD, 21000, SERBIA
SN 0354-8724
EI 1820-7138
J9 GEOGR PANNONICA
JI Geogr. Pannonica
PD DEC
PY 2024
VL 28
IS 4
BP 294
EP 311
DI 10.5937/gp28-53241
PG 18
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA Q7U1S
UT WOS:001386672000006
DA 2025-01-10
ER

PT J
AU Lindbergh, S
   He, YY
   Radke, J
AF Lindbergh, Sarah
   He, Yiyi
   Radke, John
TI Beyond carbon: Unveiling vulnerabilities of the transportation fuel
   system for climate resilience
SO ENERGY RESEARCH & SOCIAL SCIENCE
LA English
DT Article
DE Climate risk transparency; Procedural justice; Cascading disasters;
   Sociotechnical networks; Organizational complexity; Adaptation policy
ID CRITICAL INFRASTRUCTURE; SUPPLY CHAIN; ENVIRONMENTAL JUSTICE; CHANGE
   ADAPTATION; OIL; TRANSITIONS; MITIGATION; MANAGEMENT; EXPOSURES; SECTOR
AB Carbon-centric policies that omit the Transportation Fuel System (TFS) vulnerabilities as a critical infrastructure (CI) will result in siloed climate resilience policies for future transportation energy systems. Based on CI resilience, disaster risk reduction, supply chain sustainability, energy and climate adaptation literature, this study seeks to learn from the contemporary TFS vulnerabilities to avoid perpetuating them in a future climate-resilient, equitable, and carbon free transportation energy system. A unique combination of five vulnerability traits is identified: unprecedented transition; complex and widespread interdependencies; hazardous materials; complex organizational networks; and path-dependency. Emblematic TFS-related disasters in the U.S., and the projected impact of wildfires and flooding to the sector in California are explored to illustrate these vulnerabilities and their environmental justice (EJ) issues. We argue that our lack of knowledge of CI sociotechnical networks is a key vulnerability that jeopardizes societal goals of decarbonization policies, notably those concerning (1) procedural justice and (2) the identification of transportation energy services critical users such as emergency response. We propose framing the TFS as a social, technical, and environmental system to promote complex system governance that is more capable of identifying strategic partnerships and coalitions for CI resilience, and developing methods to study and implement climate risk transparency and adaptation attribution that advances procedural aspects of EJ for the transitional and future TFS.
C1 [Lindbergh, Sarah; Radke, John] Univ Calif Berkeley, Dept Landscape Architecture & Environm Planning, 230 Bauer Wurster Hall 2000, Berkeley, CA 94720 USA.
   [Lindbergh, Sarah] Univ Calif Berkeley, Inst Transportat Studies, 107B Mclaughlin Hall, Berkeley, CA 94720 USA.
   [He, Yiyi] Georgia Inst Technol, Coll Design, Sch City & Reg Planning, 245 Fourth St NW,Suite 204 E, Atlanta, GA 30332 USA.
   [Radke, John] Univ Calif Berkeley, City & Reg Planning, 230, Bauer Wurster Hall 2000, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University System of Georgia; Georgia Institute of Technology;
   University of California System; University of California Berkeley
RP Lindbergh, S (corresponding author), Univ Calif Berkeley, Dept Landscape Architecture & Environm Planning, 230 Bauer Wurster Hall 2000, Berkeley, CA 94720 USA.
EM sarah_lindbergh@berkeley.edu
RI Lindbergh, Sarah/JAO-1119-2023
CR Agar JJ, 2020, COAST MANAGE, V48, P378, DOI 10.1080/08920753.2020.1795967
   Amir S, 2018, RISK ANAL, V38, P8, DOI 10.1111/risa.12816
   [Anonymous], Trase Earth - Trase Supply Chains
   [Anonymous], 2016, Participant Handbook
   [Anonymous], 2013, SOURC GREENH GAS EM
   [Anonymous], TOP 20 LARGEST CALIF
   [Anonymous], 2013, Tropical Cyclone Report Hurricane Sandy
   [Anonymous], 2021, CalEnviroScreen 4.0
   [Anonymous], Top 20 Deadliest California Wildfire
   [Anonymous], 2018, NATL HURRICANE CTR T
   [Anonymous], 2016, Governance Principles and Operating Procedures
   Arbabzadeh M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11161-5
   Banzhaf S, 2019, J ECON PERSPECT, V33, P185, DOI 10.1257/jep.33.1.185
   Barbanell M., 2023, Overcoming Critical Minerals Shortages Is Key to Achieving US Climate Goals
   Belles J., 2017, The Weather Channel
   Bonilla-Félix M, 2019, BLOOD PURIFICAT, V47, P199, DOI 10.1159/000494580
   Brockway AM, 2021, NAT ENERGY, V6, P892, DOI 10.1038/s41560-021-00887-6
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burch S, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100006
   Burger M., 2020, cjel, V45
   Carley S, 2020, NAT ENERGY, V5, P569, DOI 10.1038/s41560-020-0641-6
   Carlson AR, 2022, ECOL APPL, V32, DOI 10.1002/eap.2597
   Casey-Lockyer M., 2013, CDC Morbidity and Mortality Weekly Report
   Chan S, 2019, INT ENVIRON AGREEM-P, V19, P429, DOI 10.1007/s10784-019-09444-9
   Cimellaro GP, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101191
   Collier StephenJ., 2008, SECURINGTHE HOMELAND, P17
   Comes T., 2014, ISCRAM
   Comfort L., 1999, Shared Risk: Complex Systems in Seismic Response
   Comfort L.K., 2017, Organizational Reliability: A Guide for Research and Practice, pChapter11
   Comfort LK, 2019, PRINC STUD COMPLEX, P1
   Committee on Accelerating Decarbonization in the United States: Technology Policy and Societal Dimensions, 2023, Accelerating Decarbonization in the United States: Technology, Policy, and Societal Dimensions, P25931, DOI [10.17226/25931, DOI 10.17226/25931]
   Cruz AM, 2008, J LOSS PREVENT PROC, V21, P620, DOI 10.1016/j.jlp.2008.04.008
   Cruz AM, 2013, CLIMATIC CHANGE, V121, P41, DOI 10.1007/s10584-013-0891-4
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   D. of E. DOE, 2013, Overview of Response to Hurricane Sandy-Nor'Easter and Recommendations for Improvement
   Dell J.J., 2010, SPE INT C HLTH SAF E, P16
   DHS, 2013, NIPP 2013: Partnering for Critical Infrastructure Security and Resilience
   DHS, 2015, Energy Sector-Specific Plan
   Di Gregorio M, 2019, GLOBAL ENVIRON CHANG, V54, P64, DOI 10.1016/j.gloenvcha.2018.10.003
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   DOE, History of SPR Releases
   Donaghy TQ, 2023, ENERGY RES SOC SCI, V100, DOI 10.1016/j.erss.2023.103104
   FEMA, 2017, 2017 hurricane season FEMA after-action report
   Fernandes LJ, 2015, COMPUT-AIDED CHEM EN, V37, P1889
   Fleigh S., 2018, USA TodayMay 29,
   Fleming K.L., 2018, Automated, and Shared Mobility, V13
   Fournier N, 2018, P ASME INT C OCEAN
   GAO, 2021, GAO-21-119SP, P90
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gardner TA, 2019, WORLD DEV, V121, P163, DOI 10.1016/j.worlddev.2018.05.025
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Godar J, 2015, ECOL ECON, V112, P25, DOI 10.1016/j.ecolecon.2015.02.003
   Goldthau A, 2012, ENERG POLICY, V41, P232, DOI 10.1016/j.enpol.2011.10.042
   Grafakos S., 2018, Climate Change and Cities eds, P101, DOI DOI 10.1017/9781316563878.011
   Grubert E, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.768
   Guo Y, 2021, RENEW SUST ENERG REV, V139, DOI 10.1016/j.rser.2020.110698
   Hartmann J, 2014, J OPER MANAG, V32, P281, DOI 10.1016/j.jom.2014.01.005
   He YY, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10090573
   Hennessey R, 2017, ENERG POLICY, V111, P214, DOI 10.1016/j.enpol.2017.09.025
   Hine A, 2023, AUST GEOGR, V54, P233, DOI 10.1080/00049182.2023.2210733
   Jaradat RM, 2014, INT J CRIT INFR PROT, V7, P86, DOI 10.1016/j.ijcip.2014.04.005
   Jenkins K, 2018, ENERG POLICY, V117, P66, DOI 10.1016/j.enpol.2018.02.036
   Johnston J, 2020, CURR ENV HLTH REP, V7, P48, DOI 10.1007/s40572-020-00263-8
   Kashmanian Richard M., 2017, Environmental Quality Management, V26, P73, DOI 10.1002/tqem.21495
   Kim RE, 2020, INT STUD REV, V22, P903, DOI 10.1093/isr/viz052
   Kishore N, 2018, NEW ENGL J MED, V379, P162, DOI [10.1056/nejmsa1803972, 10.1056/NEJMsa1803972]
   Lawrence JM, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101607
   LCI-UCLA, 2019, Progress toward 100% Clean Energy in Cities & States across the U.S
   Levenda AM, 2021, ENERGY RES SOC SCI, V71, DOI 10.1016/j.erss.2020.101837
   Lima C, 2016, COMPUT CHEM ENG, V92, P78, DOI 10.1016/j.compchemeng.2016.05.002
   Lindbergh S, 2022, J CLEAN PROD, V334, DOI 10.1016/j.jclepro.2021.130118
   Lindbergh S., 2021, Integrated Research on Disaster Risks, P329
   Lovins A.B., 1982, Brittle power: Energy strategy for national security
   Manthiram A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15355-0
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   McCauley D, 2018, ENERGY RES SOC SCI, V41, P32, DOI 10.1016/j.erss.2018.04.018
   Meng S., 2021, Econ. Disasters Clim. Change, V5, P223, DOI [10.1007/s41885-021-00082-7, DOI 10.1007/S41885-021-00082-7]
   Meuleman L, 2019, ROUTL STUD SUSTAIN, P1
   Misuri A, 2019, RELIAB ENG SYST SAFE, V190, DOI 10.1016/j.ress.2019.106521
   MIT Climate Portal, Investing and climate change, MIT Climate Portal
   Mohai P, 2009, ANNU REV ENV RESOUR, V34, P405, DOI 10.1146/annurev.environ.082508-094348
   Murray AT, 2012, TELEMAT INFORMAT, V29, P56, DOI 10.1016/j.tele.2011.05.001
   NHC-NOAA, 2021, Costliest U.S. tropical cyclones tables updated Online
   O'Rourke D, 2014, SCIENCE, V344, P1124, DOI 10.1126/science.1248526
   Pastor M, 2005, J URBAN AFF, V27, P127, DOI 10.1111/j.0735-2166.2005.00228.x
   Peck H., 2005, International Journal of Physical Distribution & Logistics Management, V35, P210, DOI 10.1108/09600030510599904
   Pescaroli G, 2018, RISK ANAL, V38, P2245, DOI 10.1111/risa.13128
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Radke J., 2018, Technical Report CCCA4-CEC-2018-012
   Ramenzoni VC, 2017, ENVIRON SOC, V8, P9, DOI 10.3167/ares.2017.080102
   ROBERTS KH, 1990, CALIF MANAGE REV, V32, P101, DOI 10.2307/41166631
   Roe E., 2016, The Challenge of Managing Interconnected Infrastructures
   Schäfer N, 2023, MANAG REV Q, V73, P579, DOI 10.1007/s11301-021-00252-7
   Schaeffer R, 2012, ENERGY, V38, P1, DOI 10.1016/j.energy.2011.11.056
   Schulman P., 2004, J CONTING CRISIS MAN, V12, P14
   Serra-Llobet A, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1183324
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Sharkey TC, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000262
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Skehan R., 2020, Renewable Energy and Law Policy Reviews
   Slack T, 2020, NAT HAZARDS, V102, P1207, DOI 10.1007/s11069-020-03953-6
   Smythe T., 2013, ASSESSING IMPACTS HU
   Sovacool BK, 2013, NAT CLIM CHANGE, V3, P959, DOI 10.1038/nclimate2037
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Steele W, 2017, URBAN POLICY RES, V35, P74, DOI 10.1080/08111146.2017.1282857
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Tenggren S, 2020, J ENVIRON PLANN MAN, V63, P1266, DOI 10.1080/09640568.2019.1660626
   Thomas KA, 2018, SOCIOL SPECTRUM, V38, P371, DOI 10.1080/02732173.2018.1532367
   Trimmel KE, 2024, ENERGY RES SOC SCI, V109, DOI 10.1016/j.erss.2024.103424
   U.S.DoT PIPA and FEMA, 2015, Hazard Mitigation Planning: Practices for Land Use Planning and Development near Pipelines, P85
   Unruh GC, 2000, ENERG POLICY, V28, P817, DOI 10.1016/S0301-4215(00)00070-7
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Vivoda V, 2023, ENERGY RES SOC SCI, V100, DOI 10.1016/j.erss.2023.103085
   Walker J, 2018, ENERGY RES SOC SCI, V45, P56, DOI 10.1016/j.erss.2018.07.005
   whitehouse, Justice40 Initiative|Environmental Justice
   Willis H.H., 2016, Research report, no. RR-1453-DHS
   Winzer C, 2012, ENERG POLICY, V46, P36, DOI 10.1016/j.enpol.2012.02.067
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Young OR, 2017, GOVERNING COMPLEX SYSTEMS: SOCIAL CAPITAL FOR THE ANTHROPOCENE, P1
   Zelli F, 2013, GLOBAL ENVIRON POLIT, V13, P1, DOI 10.1162/GLEP_a_00180
   Zimmerman R, 2019, ANN NY ACAD SCI, V1439, P174, DOI 10.1111/nyas.14010
   zu Ermgassen EKHJ, 2020, P NATL ACAD SCI USA, V117, P31770, DOI 10.1073/pnas.2003270117
NR 124
TC 1
Z9 1
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2214-6296
EI 2214-6326
J9 ENERGY RES SOC SCI
JI Energy Res. Soc. Sci.
PD AUG
PY 2024
VL 114
AR 103585
DI 10.1016/j.erss.2024.103585
EA MAY 2024
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA I9A2S
UT WOS:001333101400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Sochacka, BA
   Renouf, MA
   Kenway, SJ
AF Sochacka, Beata A.
   Renouf, Marguerite A.
   Kenway, Steven J.
TI Water-related liveability assessment: Indicators for evaluation of urban
   design
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Liveability; Well-being; Water; Urban design; Sustainability performance
   metrics
ID NEIGHBORHOOD LIVEABILITY; HUMAN HEALTH; LIVABILITY; INFRASTRUCTURE;
   QUALITY; SUSTAINABILITY; ENVIRONMENT; MELBOURNE; FRAMEWORK; ECOSYSTEM
AB Sustainable water management, and the reshaping of the interactions between environment, infrastructure and humans it implies, increasingly requires consideration of the associated effects on urban liveability. This paper presents a suitable method of systematic assessment of water-related liveability benefits of different urban designs. The study identified a long list of potential indicators and then down-selected and tested 23 indicators that can quantify liveability aspects of water-related urban environment (green space, blue space, water infrastructure). These were used the quantify and compare water-related liveability of three development scenarios for a 130-ha precinct in South Australia. The study found that designs with water sensitive features contribute to the liveability of medium-density redevelopment through improved accessibility of green and blue space, use of irrigated green space, use of alternative water source systems and diversity of public green space. However, the effect of population size is notable, with the availability of blue and green space being higher in low-density scenarios. The study provides a methodology for understanding the relationship between water and liveability by measuring aspects of water-related environment as mid-point indicators, rather than end point indicators such as residential satisfaction. This work could inform further studies of the trade-offs between liveability and water provisioning in the design of future cities and climate adaptation efforts.
C1 [Sochacka, Beata A.; Kenway, Steven J.] Univ Queensland, Australian Ctr Water & Environm Biotechnol, Water Energy Carbon Res Grp, AWMC, Brisbane, Qld, Australia.
   [Renouf, Marguerite A.] Queensland Univ Technol, Ctr Agr & Bioecon, Brisbane, Qld, Australia.
   [Sochacka, Beata A.] Univ Queensland, Australian Ctr Water & Environm Biotechnol, AWMC, Res Rd,Gehrmann Labs Bldg 60,Level 7, St Lucia, Qld 4067, Australia.
C3 University of Queensland; Queensland University of Technology (QUT);
   University of Queensland
RP Sochacka, BA (corresponding author), Univ Queensland, Australian Ctr Water & Environm Biotechnol, AWMC, Res Rd,Gehrmann Labs Bldg 60,Level 7, St Lucia, Qld 4067, Australia.
EM beata.sochacka@uq.net.au
RI Renouf, Marguerite/C-9193-2015
OI Renouf, Marguerite/0000-0003-0225-885X
CR ABS [Australian Bureau of Statistics], 2016, CENS POP HOUS
   Alderton A, 2019, GLOBALIZATION HEALTH, V15, DOI 10.1186/s12992-019-0484-8
   [Anonymous], 2012, Liveability and the water sensitive city-science-policy partnership for water sensitive cities
   [Anonymous], 2015, How liveable is Melbourne? Conceptualising and testing urban liveability indicators: progress to date
   [Anonymous], 2018, Understanding the role of the water sector in urban liveability and greening interventions: Case studies on Barcelona, Rotterdam, Amsterdam, Copenhagen and Melbourne
   [Anonymous], 2020, Integrated Urban Water Management-Why a good idea seems hard to implement (Issue March)
   Antognelli S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041017
   Arundel J., 2017, Creating liveable cities in Australia: Mapping urban policy implementation and evidence-based national liveability indicators
   Balsas C. J. L., 2004, Planning Practice & Research, V19, P101, DOI 10.1080/0269745042000246603
   Balzan M. V., 2017, Zenodo, DOI [10.5281/zenodo1165152, DOI 10.5281/ZENODO1165152]
   Becken S, 2014, WATER RESOUR IND, V7-8, P9, DOI 10.1010/j.wri.2014.09.002
   Bolleter J, 2021, PLAN PRACT RES, V36, P408, DOI 10.1080/02697459.2020.1859199
   Cambria VE, 2021, FORESTS, V12, DOI 10.3390/f12060779
   Chen QY, 2022, SOIL USE MANAGE, V38, P7, DOI 10.1111/sum.12771
   Cheung PK, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102974
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   de Haan FJ, 2014, TECHNOL FORECAST SOC, V85, P121, DOI 10.1016/j.techfore.2013.09.005
   Dijst M, 2018, RESOUR CONSERV RECY, V132, P190, DOI 10.1016/j.resconrec.2017.09.014
   Farooqui TA, 2016, WATER RES, V106, P415, DOI 10.1016/j.watres.2016.10.014
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Furlong C, 2018, UTIL POLICY, V53, P25, DOI 10.1016/j.jup.2018.06.005
   Furlong C, 2017, UTIL POLICY, V45, P84, DOI 10.1016/j.jup.2017.02.004
   Geneletti D, 2022, LANDSCAPE URBAN PLAN, V219, DOI 10.1016/j.landurbplan.2021.104319
   Ghasemi K, 2018, SUSTAIN CITIES SOC, V38, P382, DOI 10.1016/j.scs.2018.01.018
   Giles-Corti B, 2002, SOC SCI MED, V54, P1793, DOI 10.1016/S0277-9536(01)00150-2
   Gimelli FM, 2018, WORLD DEV, V104, P1, DOI 10.1016/j.worlddev.2017.10.033
   Hawken S, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103317
   Hof A, 2011, LAND USE POLICY, V28, P792, DOI 10.1016/j.landusepol.2011.01.007
   Kaal H., 2011, CITY, V15, P532
   Kashef M, 2016, FRONT ARCHIT RES, V5, P239, DOI 10.1016/j.foar.2016.03.003
   Khorrami Z, 2021, REV ENVIRON HEALTH, V36, P397, DOI 10.1515/reveh-2020-0097
   Kimpton A, 2017, APPL GEOGR, V82, P129, DOI 10.1016/j.apgeog.2017.03.016
   Kuller M, 2018, LANDSCAPE URBAN PLAN, V175, P92, DOI 10.1016/j.landurbplan.2018.03.018
   Kuller M, 2017, ENVIRON MODELL SOFTW, V96, P265, DOI 10.1016/j.envsoft.2017.07.003
   Kutty AA, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134203
   Larson EK, 2013, LANDSCAPE URBAN PLAN, V109, P45, DOI 10.1016/j.landurbplan.2012.10.008
   Laszkiewicz E, 2020, LAND-BASEL, V9, DOI 10.3390/land9060183
   Le Texier M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0204684
   Ley A., 2010, Developing living cities: From analysis to action, P191
   Liang L, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138339
   Liu JX, 2020, GEOGR SUSTAIN, V1, P284, DOI 10.1016/j.geosus.2020.12.001
   Liu L, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19042198
   Liu WW, 2018, BUILD ENVIRON, V135, P142, DOI 10.1016/j.buildenv.2018.03.015
   London G., 2020, Infill typologies catalogue
   Lowe M, 2015, URBAN POLICY RES, V33, P131, DOI 10.1080/08111146.2014.1002606
   Marans R.W., 2011, Investigating quality of urban life: Theory, methods and empirical research, DOI DOI 10.1007/978-94-007-1742-8_1
   McArthur J, 2019, URBAN STUD, V56, P1711, DOI 10.1177/0042098018804759
   Miletto M., 2021, The United Nations World Water Development Report 2021: Valuing Water, DOI 10.4324/9780429453571-2
   Moravej M., 2020, User manual for site-scale urban water mass balance assessment (SUWMBA) tool V2 (beta version for testing)
   Mulligan G, 2004, CONTRIB TO ECON ANAL, V266, P729
   Namazi-Rad Mohammad-Reza., 2016, Bulletin de methodologie sociologique: BMS, V129, P5
   Newman PWG, 1999, LANDSCAPE URBAN PLAN, V44, P219, DOI 10.1016/S0169-2046(99)00009-2
   Newton P, 2018, URBAN REGENERATION IN AUSTRALIA: POLICIES, PROCESSES AND PROJECTS OF CONTEMPORARY URBAN CHANGE, P249
   Norouzian-Maleki S, 2018, URBAN FOR URBAN GREE, V35, P8, DOI 10.1016/j.ufug.2018.08.004
   Norouzian-Maleki S, 2015, ECOL INDIC, V48, P263, DOI 10.1016/j.ecolind.2014.07.033
   Okulicz-Kozaryn A, 2013, SOC INDIC RES, V110, P433, DOI 10.1007/s11205-011-9939-x
   PACIONE M, 1990, URBAN GEOGR, V11, P1, DOI 10.2747/0272-3638.11.1.1
   Pal JS, 2016, NAT CLIM CHANGE, V6, P197, DOI [10.1038/NCLIMATE2833, 10.1038/nclimate2833]
   Paul A, 2020, GEOFORUM, V117, P90, DOI 10.1016/j.geoforum.2020.09.008
   Paul A, 2018, CITIES, V74, P142, DOI 10.1016/j.cities.2017.11.015
   Pinto LV, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104072
   Ramaswami A, 2020, ONE EARTH, V2, P120, DOI 10.1016/j.oneear.2020.02.003
   Rangwala T, 2023, WATER-SUI, V15, DOI 10.3390/w15071369
   Renouf M. A., 2017, URBAN METABOLISM PLA
   Renouf M.A., 2020, Salisbury case study final report: Water sensitive outcomes for infill development
   Renouf Marguerite A., 2020, Milestone report
   Ruth M, 2014, APPL GEOGR, V49, P18, DOI 10.1016/j.apgeog.2013.09.018
   Shi CC, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100284
   Shubin R., 2019, Dense and Green Building Typologies. Research, Policy and Practice Perspectives, P55
   Skov-Petersen H., 2001, P 8 SCANDINAVIAN RES, P237
   Sochacka BA, 2021, CITIES, V113, DOI 10.1016/j.cities.2021.103154
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tapper N., 2021, Urban climate science for planning healthy cities, P219, DOI 10.1007/978-3-030-87598-5_10
   Teo S, 2014, URBAN GEOGR, V35, P916, DOI 10.1080/02723638.2014.924233
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   van Kamp I, 2003, LANDSCAPE URBAN PLAN, V65, P7
   Vilcins D, 2024, REV ENVIRON HEALTH, V39, P221, DOI 10.1515/reveh-2022-0083
   Völker S, 2011, INT J HYG ENVIR HEAL, V214, P449, DOI 10.1016/j.ijheh.2011.05.001
   Ward S., 2012, Water sensitive urban design in the city of the future
   Water by Design, 2019, Living waterways scorecard 2.0
   White MP, 2020, ENVIRON RES, V191, DOI 10.1016/j.envres.2020.110169
   Wiréhn L, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01585-x
   World Health Organization (WHO), 2022, Noise measurement
   WSAA, 2016, Liveability indicators. a report prepared for the water industry
   Zhang XY, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-31
NR 85
TC 2
Z9 2
U1 17
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD FEB
PY 2024
VL 101
AR 105103
DI 10.1016/j.scs.2023.105103
EA DEC 2023
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA HP0I9
UT WOS:001160587000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Weng, CY
   Bai, YP
   Chen, BH
   Hu, YC
   Shu, JY
   Chen, Q
   Wang, P
AF Weng, Chuyao
   Bai, Yuping
   Chen, Bihui
   Hu, Yecui
   Shu, Jiayao
   Chen, Qi
   Wang, Pei
TI Assessing the vulnerability to climate change of a semi-arid pastoral
   social-ecological system: A case study in Hulunbuir, China
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE Social-ecological system; Vulnerability; Climate adaptation; Semi-arid
   pastoral areas; Hulunbuir
ID ADAPTATION; LIVESTOCK; HOUSEHOLDS; CAPACITY; INDEX
AB Covering approximately 15% of the Earth's land surface and home to 14% of the total global population, semiarid pastoral areas are characterized by high climatic variability and ecological vulnerability. Recurring extreme weather prodoundly shapes decision-making in semi-arid pastoral social-ecological systems (SAPSES) and their traditional natural-resource-based livelihoods. This study developed a conceptual framework of climatelivelihood vulnerability in SAPSES and evaluated the vulnerability of SAPSES to climate change effects and environmental pressure in Hulunbuir, China using a questionnaire survey and remote sensing monitoring data. Results showed that the study area were impacted substantially by climate change (0.68). However, the vulnerability was relatively low because of the moderate adaptability (0.59) and medium sensitivity of the local socio-ecological system (0.61). Natural factors, including climate variation, natural disasters and ecosystem sensitivity, were the main causes of vulnerability. The increasing vulnerability had been largely slowed by adaptive capital, the traditional cultural organization system and the collective action mechanism. Degraded grassland cover, lack of technical training and high habitation stickiness were the main reasons for increased sensitivity. Natural capital and financial capital were important factors restricting regional adaptive capacity. Therefore, promoting local livestock cooperatives, improving the provision of public services and strengthening ecological governance can help to enhance the climate change resilience and increase the stability and sustainability of SAPSES.
C1 [Weng, Chuyao; Bai, Yuping; Chen, Bihui; Hu, Yecui; Shu, Jiayao; Chen, Qi] China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China.
   [Bai, Yuping; Hu, Yecui] Minist Land & Resources, Key Lab Land Consolidat & Rehabil, Beijing 100035, Peoples R China.
   [Bai, Yuping] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Wang, Pei] Nanjing Agr Univ, Coll Publ Adm, Coll Land Management, Nanjing 210095, Peoples R China.
C3 China University of Geosciences; Ministry of Natural Resources of the
   People's Republic of China; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; Nanjing
   Agricultural University
RP Bai, YP (corresponding author), China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China.
EM baiyp@cugb.edu.cn
RI Weng, Chuyao/JJC-8520-2023
FU Fundamental Research Funds for the Central Universities [2-9-2020-022];
   Open-ended Fund of Key Laboratory of Land Surface Pattern and
   Simulation, Chinese Academy of Sciences [LB2021001]; National Natural
   Science Foundation of China [72104223]; Funda- mental Research Funds for
   the Central Universities [KJQN202141]
FX The research is supported by the Fundamental Research Funds for the
   Central Universities [Grant No. 2-9-2020-022] and the Open-ended Fund of
   Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy
   of Sciences [Grant No. LB2021001] and the National Natural Science
   Foundation of China [Grant No. 72104223] and the Funda- mental Research
   Funds for the Central Universities [Grant No. KJQN202141] .
CR Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   Antwi EK, 2015, WEATHER CLIM EXTREME, V10, P56, DOI 10.1016/j.wace.2015.10.008
   Arifah, 2022, REG SUSTAIN, V3, P244, DOI 10.1016/j.regsus.2022.10.002
   Bai YP, 2019, J CLEAN PROD, V210, P358, DOI 10.1016/j.jclepro.2018.10.250
   Bedeke SB, 2020, ENVIRON DEV SUSTAIN, V22, P693, DOI 10.1007/s10668-018-0215-y
   Biglari T, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104043
   Campbell A, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102336
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   Dendir Z, 2019, PROG DISASTER SCI, V3, DOI 10.1016/j.pdisas.2019.100035
   Ding WQ, 2022, RANGELAND ECOL MANAG, V81, P78, DOI 10.1016/j.rama.2022.01.002
   Dodd RJ, 2023, SCI TOTAL ENVIRON, V861, DOI 10.1016/j.scitotenv.2022.160660
   Tran DD, 2021, INT J DISAST RISK RE, V57, DOI 10.1016/j.ijdrr.2021.102183
   Feng XL, 2021, SCI TOTAL ENVIRON, V770, DOI 10.1016/j.scitotenv.2020.144838
   Girma G, 2023, CURR RES ENVIRON SUS, V5, DOI 10.1016/j.crsust.2022.100205
   Godber OF, 2014, GLOBAL CHANGE BIOL, V20, P3092, DOI 10.1111/gcb.12589
   Godde CM, 2018, GLOB FOOD SECUR-AGR, V16, P93, DOI 10.1016/j.gfs.2017.11.003
   Gohr C, 2021, ECOL INFORM, V66, DOI 10.1016/j.ecoinf.2021.101442
   Gugissa DA, 2021, ECOL ECON, V185, DOI 10.1016/j.ecolecon.2021.107039
   Guo AJ, 2022, SUSTAIN PROD CONSUMP, V33, P636, DOI 10.1016/j.spc.2022.08.002
   Guo XN, 2021, LAND DEGRAD DEV, V32, P3684, DOI 10.1002/ldr.3825
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   He SY, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-4784-x
   He XJ, 2022, J CLEAN PROD, V381, DOI 10.1016/j.jclepro.2022.135171
   He YY, 2021, INT J CLIM CHANG STR, V13, P162, DOI 10.1108/IJCCSM-08-2020-0094
   Hu ZM, 2019, J CLEAN PROD, V207, P343, DOI 10.1016/j.jclepro.2018.09.158
   Huang XJ, 2017, HABITAT INT, V59, P1, DOI 10.1016/j.habitatint.2016.11.001
   Islam R, 2022, INT J DISAST RISK RE, V78, DOI 10.1016/j.ijdrr.2022.103148
   Jimoh S.O., 2021, REGIONAL SUSTAINABIL, V2, P363
   Joubran AM, 2021, J DAIRY SCI, V104, P7364, DOI 10.3168/jds.2020-19776
   Lazzari N, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147078
   Li T, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155960
   Li T, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108257
   Liu XX, 2021, ECOL INFORM, V64, DOI 10.1016/j.ecoinf.2021.101380
   Mason LR, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103411
   Ndiritu SW, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09949-2
   Otto C, 2020, NAT ENERGY, V5, P111, DOI 10.1038/s41560-020-0562-4
   Pan T, 2017, ECOL ENG, V108, P307, DOI 10.1016/j.ecoleng.2017.07.039
   Qin Z, 2022, ECOL INDIC, V140, DOI 10.1016/j.ecolind.2022.109020
   Rajesh S, 2018, ECOL INDIC, V85, P93, DOI 10.1016/j.ecolind.2017.10.014
   Raza T, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2020.100066
   Rong TQ, 2022, ECOL INFORM, V71, DOI 10.1016/j.ecoinf.2022.101802
   Scialabba N.E.H., 2022, MANAGING HLTH LIVEST, P165
   Sekaran U, 2021, J AGR FOOD RES, V5, DOI 10.1016/j.jafr.2021.100190
   Simane B, 2016, MITIG ADAPT STRAT GL, V21, P39, DOI 10.1007/s11027-014-9568-1
   Singh PK, 2021, J CLEAN PROD, V284, DOI 10.1016/j.jclepro.2020.124744
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sultana M, 2020, J CO-OP ORGAN MANAG, V8, DOI 10.1016/j.jcom.2019.100105
   Tai XL, 2021, AGR ECOSYST ENVIRON, V310, DOI 10.1016/j.agee.2021.107302
   Tang JJ, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103563
   Tessema KB, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102426
   Voskamp IM, 2015, BUILD ENVIRON, V83, P159, DOI 10.1016/j.buildenv.2014.07.018
   Wang BY, 2022, ECOL INDIC, V144, DOI 10.1016/j.ecolind.2022.109517
   Wei YQ, 2017, GLOBAL PLANET CHANGE, V157, P139, DOI 10.1016/j.gloplacha.2017.08.017
   Yang ZH, 2023, SCI TOTAL ENVIRON, V862, DOI 10.1016/j.scitotenv.2022.160828
NR 54
TC 10
Z9 12
U1 16
U2 60
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD SEP
PY 2023
VL 76
AR 102139
DI 10.1016/j.ecoinf.2023.102139
EA JUN 2023
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA L3RV2
UT WOS:001022473500001
DA 2025-01-10
ER

PT J
AU Andre, M
   Bandurski, K
   Bandyopadhyay, A
   Bavaresco, M
   Buonocore, C
   de Castro, L
   Hahn, J
   Kane, M
   Lingua, C
   Pioppi, B
   Piselli, C
   Spigliantini, G
   Vergerio, G
   Lamberts, R
AF Andre, Maira
   Bandurski, Karol
   Bandyopadhyay, Arkasama
   Bavaresco, Mateus
   Buonocore, Carolina
   de Castro, Luiza
   Hahn, Jakob
   Kane, Michael
   Lingua, Carola
   Pioppi, Benedetta
   Piselli, Cristina
   Spigliantini, Giorgia
   Vergerio, Giulia
   Lamberts, Roberto
TI Practical differences in operating buildings across countries and
   climate zones: Perspectives of building managers/operators
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Building operation; Interview data; Occupant satisfaction; Regional
   differences; HVAC control; Energy efficiency
ID ADAPTIVE COMFORT; OCCUPANTS; MANAGEMENT; HOMES
AB Occupant-centric building design and operation has attracted recent research efforts in many countries, as building occupants are being more recognized as the main drivers in planning and operating safe, com-fortable, energy-efficient indoor environments. In this matter, the role of building managers and opera-tors is crucial to capture the needs of occupants and to adapt the response of the building accordingly. IEA EBC Annex 79 participants conducted 72 interviews with operators and facility managers across 7 coun-tries (Brazil, Canada, Germany, Italy, Poland, Singapore, and USA) covering a wide range of ASHRAE 169 climate zones (from 0 to 5 in the climate classification). This paper presents a qualitative cross-case anal-ysis of operators' perspectives and experiences to identify regional differences. Therefore, the analyses are based on the hypotheses that climate or other country-related aspects would be the main drivers of building operation procedures differences. Results show climatic differences have little influence on building management, while occupants' complaints are very influenced by them. Moreover, operators are lacking clear tools, like guidelines and standards, on how to optimize building management in a climatic-adaptive and occupant-centric manner. Therefore, the development of operation protocols for building sustainable operation respecting climatic context and occupants' control is recommended.(c) 2022 Elsevier B.V. All rights reserved.
C1 [Andre, Maira; Bavaresco, Mateus; Buonocore, Carolina; de Castro, Luiza; Lamberts, Roberto] Univ Fed Santa Catarina, Lab Energy Efficiency Bldg, R Joao Pio Duarte Silva,205,Bloco B-Sala 401B, BR-88040900 Florianopolis, SC, Brazil.
   [Bandurski, Karol] Poznan Univ Tech, Inst Environm Engn & Bldg Installat, Fac Environm Engn & Energy, Berdychowo 4, PL-60965 Poznan, Poland.
   [Bandyopadhyay, Arkasama] Texas A&M Univ, Dept Mech Engn, College Stn, TX USA.
   [Hahn, Jakob] Munich Univ Appl Sci, Res Inst CENERGIE, Ctr Energy Efficient Bldg & Dist, Dept 05, Bldg Serv Engn,Lothstr 34, D-80335 Munich, Germany.
   [Kane, Michael] Northeastern Univ, Boston, MA USA.
   [Lingua, Carola; Spigliantini, Giorgia; Vergerio, Giulia] Politecn Torino, Energy Dept, TEBE IEEM Res Grp, 24, I-10129 Turin, Italy.
   [Pioppi, Benedetta; Piselli, Cristina] Univ Perugia, Dept Engn, Via G Duranti,63, I-06125 Perugia, Italy.
   [Piselli, Cristina] Univ Florence, Dept Architecture DIDA, I-50121 Florence, Italy.
   [Spigliantini, Giorgia] Rina Consulting SpA, Via Gran S Bernardo Palazzo R, I-20089 Rozzano, Italy.
C3 Universidade Federal de Santa Catarina (UFSC); Poznan University of
   Technology; Texas A&M University System; Texas A&M University College
   Station; University of Munich; Northeastern University; Polytechnic
   University of Turin; University of Perugia; University of Florence
RP Andre, M (corresponding author), Univ Fed Santa Catarina, Lab Energy Efficiency Bldg, R Joao Pio Duarte Silva,205,Bloco B-Sala 401B, BR-88040900 Florianopolis, SC, Brazil.
EM maira.andre@posgrad.ufsc.br; mateus.bavaresco@posgrad.ufsc.br;
   carolina.buonocore@posgrad.ufsc.br; luiza.t.castro@posgrad.ufsc.br;
   jakob.hahn@hm.edu; pioppi@crbnet.it; cristina.piselli@unifi.it
RI Piselli, Cristina/AGL-4455-2022; Bandurski, Karol/F-8685-2014;
   Buonocore, Carolina/HHM-5759-2022; Kane, Michael/I-5661-2015; Hahn,
   Jakob/AAH-5585-2020; Lamberts, Roberto/F-9756-2013
OI Tavares de Castro, Luiza/0000-0002-4880-7431; Kane,
   Michael/0000-0002-3716-3116; Hahn, Jakob/0000-0002-9740-8963; Andre,
   Maira/0000-0003-3515-7182; Buonocore, Carolina/0000-0001-9314-799X;
   Lamberts, Roberto/0000-0001-6801-671X; Pioppi,
   Benedetta/0000-0001-7602-439X
FU Brazilian Agencies Coordination for the Development of Higher Education
   Personnel - Brazil (CAPES) [001]; National Council for Scientific and
   Technological Development (CNPq); German Federal Ministry for Economic
   Affairs and Climate Action (BMWK) [03ET1648A]; Italian funding programme
   Fondo Sociale Europeo REACT EU - Programma Operativo Nazionale Ricerca e
   Innovazione 2014-2020 [1062];  [SBAD 0948]
FX We would like to express our sincere gratitude to the International
   Energy Agency and all the participants of the IEA EBC -Annex 79
   -Occupant-Centric Building Design and Operation, especially those from
   Subtask 4. Maira Andre, Carolina Buonocore, Mateus Bavaresco, Luiza de
   Castro and Roberto Lamberts would like to express our gratitude to the
   Brazilian Agencies Coordination for the Development of Higher Education
   Personnel - Brazil (CAPES), funding code number 001 - and the National
   Council for Scientific and Technological Development (CNPq). Karol
   Bandurski gratefully acknowledges: Michal Szymanski for help with
   translation process and recruiting interviewees, intervie-wees for
   participation in survey; his participation in this project is funded by
   grant no. SBAD 0948. Jakob Hahn gratefully acknowledges the financial
   support received from the German Federal Ministry for Economic Affairs
   and Climate Action (BMWK) promotional reference 03ET1648A (EnOB: NuData
   Campus). Cristina Piselli would like to thank the Italian funding
   programme Fondo Sociale Europeo REACT EU - Programma Operativo Nazionale
   Ricerca e Innovazione 2014-2020 (D.M. n.1062 del 10 agosto 2021) for
   supporting her research.
CR Alas R, 2006, J BUS ETHICS, V69, P237, DOI 10.1007/s10551-006-9088-3
   [Anonymous], 1978, PNB03421
   [Anonymous], 2012, SUPPLEMENT FLORIDA B
   [Anonymous], 1679812019 EN
   [Anonymous], 5542016 SS
   [Anonymous], 2020, ANSI/ASHRAE standard 169-2020
   [Anonymous], 113001 UNITS
   [Anonymous], Human Development Report 2020
   Aune M, 2009, FACILITIES, V27, P44, DOI 10.1108/02632770910923081
   Balaji B, 2016, Arxiv, DOI [arXiv:1612.06025, 10.48550/arXiv.1612.06025, DOI 10.48550/ARXIV.1612.06025]
   Berardi U, 2017, RESOUR CONSERV RECY, V123, P230, DOI 10.1016/j.resconrec.2016.03.014
   Bienvenido-Huertas D, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103042
   Boerstra AC, 2015, BUILD ENVIRON, V87, P315, DOI 10.1016/j.buildenv.2014.12.022
   Brager G, 2015, BUILD RES INF, V43, P274, DOI 10.1080/09613218.2015.993536
   Brazilian Association of Technical Standards (ABNT), 2008, 164012 ABNT NBR
   Buonocore C., 2020, P 11 WIND C RES C EC, P1052
   Carbon Pricing Dashboard, UP TO DAT OV CARB PR
   Chen CF, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108129
   Chen CF, 2020, ENERGY RES SOC SCI, V61, DOI 10.1016/j.erss.2019.101344
   Chien SY, 2018, ACM T INTERACT INTEL, V8, DOI 10.1145/3230736
   Cory S., 2011, PROC BUILD SIMUL 201
   Day JK, 2017, ENERGY RES SOC SCI, V31, P11, DOI 10.1016/j.erss.2017.05.037
   ECO Canada, 2011, BUILD OP SCOP STUD
   Gazman Olga, 2013, Strategic Planning for Energy and the Environment, V32, P25, DOI 10.1080/10485236.2013.10596285
   Golafshani N., 2003, QUAL REP, V8, P597, DOI DOI 10.46743/2160-3715/2003.1870
   Guest G., 2011, APPL THEMATIC ANAL
   Hahn J., 2020, ECOS 2020 PROC 33 IN
   Hahn J, 2022, FRONT BUILT ENVIRON, V8, DOI 10.3389/fbuil.2022.838859
   He XY, 2020, BUILD ENVIRON, V172, DOI 10.1016/j.buildenv.2020.106739
   Hossain Md.F., 2019, SUSTAINABLE DESIGN B, P419, DOI DOI 10.1016/B978-0-12-816722-9.00007-0
   Hoyt T, 2015, BUILD ENVIRON, V88, P89, DOI 10.1016/j.buildenv.2014.09.010
   IDPH, IDPH GUIDELINES INDO
   IEA EBC Annex 79, OCC BEH CENTR BUILD
   ISO, 2005, AAC08024865 ISO
   Janda KB, 2011, ARCHIT SCI REV, V54, P15, DOI 10.3763/asre.2009.0050
   Jeong KA, 2013, HUM FACTOR ERGON MAN, V23, P322, DOI 10.1002/hfm.20299
   Karjalainen S, 2013, ENERG BUILDINGS, V65, P119, DOI 10.1016/j.enbuild.2013.05.043
   Karjalainen S, 2009, BUILD ENVIRON, V44, P1237, DOI 10.1016/j.buildenv.2008.09.002
   Lewis A., 2011, FUNDAMENTALS BUILDIN
   Liu P, 2019, J ENVIRON MANAGE, V238, P64, DOI 10.1016/j.jenvman.2019.02.111
   Luo MH, 2016, ENERG BUILDINGS, V127, P425, DOI 10.1016/j.enbuild.2016.05.096
   Mahdavi A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063146
   Markus AA, 2022, ENERG BUILDINGS, V268, DOI 10.1016/j.enbuild.2022.112238
   Minister Inwestycji i Rozwoju, 2019, OBW MIN INW ROZW DNI
   National Health Surveillance Agency (ANVISA), 2003, RES NO 9 JAN 16 2003
   Nicol F, 2013, BUILD RES INF, V41, P255, DOI 10.1080/09613218.2013.783528
   O'Brien W, 2020, BUILD ENVIRON, V178
   O'Brien W, 2014, BUILD ENVIRON, V77, P77, DOI 10.1016/j.buildenv.2014.03.024
   OSELAND NA, 1994, ENERG BUILDINGS, V21, P45, DOI 10.1016/0378-7788(94)90015-9
   Park JY, 2019, BUILD ENVIRON, V165, DOI 10.1016/j.buildenv.2019.106351
   Putnam C., 2000, PROC ACEEE SUMMER ST
   QSR International Pty Ltd, 2018, NVIVO VERS 12
   Roussac AC, 2020, ENERG EFFIC, V13, P459, DOI 10.1007/s12053-019-09788-w
   Sadeghi SA, 2016, BUILD ENVIRON, V97, P177, DOI 10.1016/j.buildenv.2015.12.008
   Schweiker M, 2022, INDOOR AIR, V32, DOI 10.1111/ina.13018
   Schweiker M, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0272-6
   Sovacool BK, 2018, ENERGY RES SOC SCI, V45, P12, DOI 10.1016/j.erss.2018.07.007
   U.S. Department of the Interior Bureau of Reclamation, 2006, DES GUID HEAT VENT A
   Washington State Energy Code, BUILD COD AD AM 2015
   Wei WQ, 2017, NAT HUM BEHAV, V1, P890, DOI 10.1038/s41562-017-0240-0
   Wettengel Julian, 2021, GERMANYS CARBON PRIC
   Zaw Min, 2016, International Journal of Sustainable Built Environment, V5, P197, DOI 10.1016/j.ijsbe.2016.06.004
   Zhang XQ, 2010, COMPUT-AIDED CIV INF, V25, P269, DOI 10.1111/j.1467-8667.2009.00633.x
   Zhong K, 2009, APPL THERM ENG, V29, P830, DOI 10.1016/j.applthermaleng.2008.04.003
NR 64
TC 7
Z9 7
U1 0
U2 8
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD JAN 1
PY 2023
VL 278
AR 112650
DI 10.1016/j.enbuild.2022.112650
EA NOV 2022
PG 19
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA 6V3QN
UT WOS:000894967000005
DA 2025-01-10
ER

PT J
AU Humanes, A
   Lachs, L
   Beauchamp, EA
   Bythell, JC
   Edwards, AJ
   Golbuu, Y
   Martinez, HM
   Palmowski, P
   Treumann, A
   van der Steeg, E
   van Hooidonk, R
   Guest, JR
AF Humanes, Adriana
   Lachs, Liam
   Beauchamp, Elizabeth A.
   Bythell, John C.
   Edwards, Alasdair J.
   Golbuu, Yimnang
   Martinez, Helios M.
   Palmowski, Pawel
   Treumann, Achim
   van der Steeg, Eveline
   van Hooidonk, Ruben
   Guest, James R.
TI Within-population variability in coral heat tolerance indicates climate
   adaptation potential
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE phenotypic response; coral bleaching; heat tolerance; climate change
ID REEF CORALS; PHENOTYPIC PLASTICITY; STRESS; CONSEQUENCES; PERSISTENCE;
   RESILIENCE; SYMBIONTS; MORTALITY; PATTERNS; PALAU
AB Coral reefs are facing unprecedented mass bleaching and mortality events due to marine heatwaves and climate change. To avoid extirpation, corals must adapt. Individual variation in heat tolerance and its heritability underpin the potential for coral adaptation. However, the magnitude of heat tolerance variability within coral populations is largely unresolved. We address this knowledge gap by exposing corals from a single reef to an experimental marine heatwave. We found that double the heat stress dosage was required to induce bleaching in the most-tolerant 10%, compared to the least-tolerant 10% of the population. By the end of the heat stress exposure, all of the least-tolerant corals were dead, whereas the most-tolerant remained alive. To contextualize the scale of this result over the coming century, we show that under an ambitious future emissions scenario, such differences in coral heat tolerance thresholds equate to up to 17 years delay until the onset of annual bleaching and mortality conditions. However, this delay is limited to only 10 years under a high emissions scenario. Our results show substantial variability in coral heat tolerance which suggests scope for natural or assisted evolution to limit the impacts of climate change in the short-term. For coral reefs to persist through the coming century, coral adaptation must keep pace with ocean warming, and ambitious emissions reductions must be realized.
C1 [Humanes, Adriana; Lachs, Liam; Beauchamp, Elizabeth A.; Bythell, John C.; Edwards, Alasdair J.; Martinez, Helios M.; Palmowski, Pawel; Treumann, Achim; van der Steeg, Eveline; Guest, James R.] Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne, England.
   [Golbuu, Yimnang] Palau Int Coral Reef Ctr, Koror, Palau.
   [van Hooidonk, Ruben] Univ Miami, Cooperat Inst Marine & Atmospher Studies, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA.
   [van Hooidonk, Ruben] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.
C3 Newcastle University - UK; University of Miami; National Oceanic
   Atmospheric Admin (NOAA) - USA; Atlantic Oceanographic & Meteorological
   Laboratory (AOML)
RP Humanes, A (corresponding author), Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne, England.
EM adrihumanes@gmail.com
RI Guest, James/D-5179-2011; Bythell, John/ABE-6138-2021; Steeg,
   Eveline/LOR-9905-2024; Treumann, Achim/H-1295-2013; Edwards,
   Alasdair/C-9558-2009; van Hooidonk, Ruben/F-7395-2010; Lachs,
   Liam/AAK-5872-2021; Beauchamp, Elizabeth/HKE-8016-2023; Bythell,
   John/E-7962-2010
OI Guest, James/0000-0002-9714-9009; Bythell, John/0000-0003-2416-9786;
   Lachs, Liam/0000-0003-3712-6144; Golbuu, Yimnang/0000-0001-8621-7742;
   van der Steeg, Eveline/0000-0002-9768-7472; Beauchamp,
   Elizabeth/0000-0002-2356-6774; Treumann, Achim/0000-0002-9417-3505;
   Palmowski, Pawel/0000-0001-9163-9560
FU NERC [2271884] Funding Source: UKRI
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Anthony K, 2017, NAT ECOL EVOL, V1, P1420, DOI 10.1038/s41559-017-0313-5
   Anthony KRN, 2009, FUNCT ECOL, V23, P539, DOI 10.1111/j.1365-2435.2008.01531.x
   Baker AC, 2001, NATURE, V411, P765, DOI 10.1038/35081151
   Barott KL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2025435118
   Barshis DJ, 2013, P NATL ACAD SCI USA, V110, P1387, DOI 10.1073/pnas.1210224110
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bay RA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701413
   Bayraktarov E, 2016, ECOL APPL, V26, P1055, DOI 10.1890/15-1077
   Berkelmans R, 2006, P ROY SOC B-BIOL SCI, V273, P2305, DOI 10.1098/rspb.2006.3567
   Brooks ME, 2017, R J, V9, P378, DOI 10.32614/RJ-2017-066
   Brown BE, 2015, MAR BIOL, V162, P479, DOI 10.1007/s00227-014-2596-2
   Bruno JF, 2001, CORAL REEFS, V20, P127, DOI 10.1007/s003380100151
   Camp EF, 2018, GLOBAL CHANGE BIOL, V24, P2755, DOI 10.1111/gcb.14153
   Cheung MWM, 2021, CURR BIOL, V31, P5385, DOI 10.1016/j.cub.2021.09.078
   Coles SL, 2013, MAR POLLUT BULL, V72, P323, DOI 10.1016/j.marpolbul.2012.09.006
   Colin PL, 2018, OCEANOGRAPHY, V31, P126, DOI 10.5670/oceanog.2018.214
   Cornwell B, 2021, ELIFE, V10, DOI 10.7554/eLife.64790
   Cotto O, 2019, AM NAT, V194, P558, DOI 10.1086/702716
   Cunning R, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1613
   Cunning R, 2016, MAR ECOL PROG SER, V551, P131, DOI 10.3354/meps11733
   Fidelman P, 2019, ENVIRON SCI POLICY, V100, P221, DOI 10.1016/j.envsci.2019.04.016
   Fitt WK, 2000, LIMNOL OCEANOGR, V45, P677, DOI 10.4319/lo.2000.45.3.0677
   Fuller ZL, 2020, SCIENCE, V369, P268, DOI 10.1126/science.aba4674
   GLYNN PW, 1990, CORAL REEFS, V8, P181, DOI 10.1007/BF00265009
   Gómez-Corrales M, 2020, MOL ECOL, V29, P4265, DOI 10.1111/mec.15631
   Guest JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033353
   Hoadley KD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46412-4
   Howells EJ, 2012, NAT CLIM CHANGE, V2, P116, DOI 10.1038/NCLIMATE1330
   Howells EJ, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg6070
   Howells EJ, 2016, GLOBAL CHANGE BIOL, V22, P2702, DOI 10.1111/gcb.13250
   Hu J, 2017, J EVOLUTION BIOL, V30, P1612, DOI 10.1111/jeb.13130
   Hughes AR, 2008, ECOL LETT, V11, P609, DOI 10.1111/j.1461-0248.2008.01179.x
   Humanes A., 2022, WITHIN POPULATION VA, DOI [10.6084/m9.figshare.c.6158545, DOI 10.6084/M9.FIGSHARE.C.6158545]
   Humanes A, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.669995
   Hume BCC, 2019, MOL ECOL RESOUR, V19, P1063, DOI 10.1111/1755-0998.13004
   Jones TA, 2017, RANGELAND J, V39, P417, DOI 10.1071/RJ17024
   Jones TA, 2013, EVOL APPL, V6, P1109, DOI 10.1111/eva.12090
   Kirk NL, 2018, MOL ECOL, V27, P5180, DOI 10.1111/mec.14934
   Lachs L., 2022, POPULATION VARIABILI, V1, DOI [10.5281/zenodo.6256164, DOI 10.5281/ZENODO.6256164]
   Lachs L., 2022, POPULATION VARIABILI, V1, DOI [10.5281/zenodo.6256190, DOI 10.5281/ZENODO.6256190]
   Lachs L, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13142677
   LaJeunesse TC, 2009, P ROY SOC B-BIOL SCI, V276, P4139, DOI 10.1098/rspb.2009.1405
   Leggat W, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113919
   Logan CA, 2021, NAT CLIM CHANGE, V11, P537, DOI 10.1038/s41558-021-01037-2
   Manzello DP, 2019, GLOBAL CHANGE BIOL, V25, P1016, DOI 10.1111/gcb.14545
   Marshall PA, 2000, CORAL REEFS, V19, P155, DOI 10.1007/s003380000086
   Matz MV, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007220
   McClanahan TR, 2004, MAR BIOL, V144, P1239, DOI 10.1007/s00227-003-1271-9
   McLachlan RH, 2020, CORAL REEFS, V39, P885, DOI 10.1007/s00338-020-01931-9
   Moriarty T, 2020, TRENDS MICROBIOL, V28, P793, DOI 10.1016/j.tim.2020.06.002
   Morikawa MK, 2019, P NATL ACAD SCI USA, V116, P10586, DOI 10.1073/pnas.1721415116
   Nussey DH, 2007, J EVOLUTION BIOL, V20, P831, DOI 10.1111/j.1420-9101.2007.01300.x
   Oliver TA, 2009, MAR ECOL PROG SER, V378, P93, DOI 10.3354/meps07871
   Ortiz JC, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12817
   Palmer CV, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00253
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Quigley KM, 2020, MOL ECOL, V29, P2176, DOI 10.1111/mec.15482
   Quigley KM, 2019, ECOL EVOL, V9, P11122, DOI 10.1002/ece3.5616
   Reed TE, 2011, CONSERV BIOL, V25, P56, DOI 10.1111/j.1523-1739.2010.01552.x
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Ritson-Williams R, 2020, CORAL REEFS, V39, P757, DOI 10.1007/s00338-020-01944-4
   Roach TNF, 2021, NAT ECOL EVOL, V5, P495, DOI 10.1038/s41559-020-01388-7
   Silverstein RN, 2015, GLOBAL CHANGE BIOL, V21, P236, DOI 10.1111/gcb.12706
   Skirving W, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233856
   Sully S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09238-2
   Thomas L, 2019, MOL ECOL, V28, P3371, DOI 10.1111/mec.15143
   Thomas L, 2018, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00434
   van Hooidonk R, 2016, SCI REP-UK, V6, DOI 10.1038/srep39666
   van Hooidonk Ruben., 2020, Projections of future coral bleaching conditions using IPCC CMIP6 models: Climate policy implications, management applications, and regional seas summaries
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   van Woesik R, 2012, ECOL EVOL, V2, P2474, DOI 10.1002/ece3.363
   Voolstra CR, 2020, GLOBAL CHANGE BIOL, V26, P4328, DOI 10.1111/gcb.15148
   Wall CB, 2021, FUNCT ECOL, V35, P1366, DOI 10.1111/1365-2435.13795
   Wright RM, 2019, GLOBAL CHANGE BIOL, V25, P3294, DOI 10.1111/gcb.14764
   Ziegler M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14213
NR 77
TC 26
Z9 29
U1 6
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 AUG 31
PY 2022
VL 289
IS 1981
AR 20220872
DI 10.1098/rspb.2022.0872
PG 11
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 4E9EA
UT WOS:000848120400001
PM 36043280
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Konijnendijk, CC
AF Konijnendijk, Cecil C.
TI Evidence-based guidelines for greener, healthier, more resilient
   neighbourhoods: Introducing the 3-30-300 rule
SO JOURNAL OF FORESTRY RESEARCH
LA English
DT Article
DE Climate adaptation; Guidelines; Public health; Trees; Urban forestry
ID PHYSICAL-ACTIVITY; URBAN; SPACE; CHALLENGES; PARKS
AB The important contributions of urban trees and green spaces to for example, climate moderation and public health have been recognized. This paper discusses guidelines and norms that promote the benefits of viewing green, living amongst green, and having easy access to green spaces for recreational use. Having trees and other vegetation in sight from one's home, place of work, or school has important mental health and performance benefits. Local tree canopy cover is positively associated with cooling and other aspects of climate moderation. With public green spaces in proximity to one's home stimulates regular use of these areas and results in positive impacts on mental, physical, and social health. After analyzing existing guidelines and rules for urban green space planning and provision, a new, comprehensive guideline is presented, known as the '3-30-300 rule' for urban forestry. This guideline aims to provide equitable access to trees and green spaces and their benefits by setting the thresholds of having at least 3 well-established trees in view from every home, school, and place of work, no less than a 30% tree canopy in every neighbourhood; and no more than 300 m to the nearest public green space from every residence. Current implementation of this new guideline is discussed, as well as the advantages and disadvantages of using this evidence-based but also clear and simple rules.
C1 [Konijnendijk, Cecil C.] Nat Based Solut Inst, Barcelona, Spain.
RP Konijnendijk, CC (corresponding author), Nat Based Solut Inst, Barcelona, Spain.
EM cecil@nbsi.eu
FU Nature Based Solutions Institute
FX The project has been self-funded by the Nature Based Solutions
   Institute.
CR Ajuntament de Barcelona, 2017, TREES LIF MAST PLAN
   American Forests, 2021, TREE EQ SCOR ENS TRE
   [Anonymous], 2017, Urban green spaces: a brief for action
   Astell-Burt T, 2020, SSM-POPUL HLTH, V10, DOI 10.1016/j.ssmph.2019.100497
   Astell-Burt T, 2020, INT J EPIDEMIOL, V49, P926, DOI 10.1093/ije/dyz239
   Astell-Burt T, 2019, JAMA NETW OPEN, V2, DOI 10.1001/jamanetworkopen.2019.8209
   Atkins-Baker M, 2021, VICTORIA NEWS   0618
   Atlas Leefomgeving, 2021, THEM GROEN LEEF
   Australian Capital Territory, 2019, CANB LIV INFR PLAN C
   Barron S, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16214241
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Bristol Green Capital Partnership, 2018, NEW AMB TARG LAUNCH
   Chan L., 2014, USERS MANUAL SINGAPO
   Chi DK, 2022, ENVIRON HEALTH PERSP, V130, DOI 10.1289/EHP9924
   City of Vancouver, 2020, PARK BOARD ACH TARG
   Cobra Groeninzicht, 2022, 3 30 300 REG STED LA
   Cohen DA, 2010, PREV MED, V50, pS9, DOI 10.1016/j.ypmed.2009.08.020
   Devisscher T, 2019, POTENTIAL IMPACTS SU, P349
   Dobbs C., 2017, Routledge Handbook of Urban Forestry, P51
   EEA (European Environment Agency),, 2020, World Air Quality Report, DOI [10.2800/786656, DOI 10.2800/786656]
   Ellicott K., 2016, Raising the standard - The Green Flag Award guidance manual
   Endreny TA, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03622-0
   European Commission, 2020, Farm to Fork Strategy-For a fair, healthy and environmentally-friendly food system, P23
   European Environment Agency, 2021, NAT EM RED COMM DIR
   FAO and Arbor Day Foundation, 2021, TREE CIT WORLD PROGR
   Frederiksberg Kommune, 2018, FOKUSGRUPPER
   Greater London Authority, 2017, URB GREEN FACT LOND
   Gulsrud NM, 2017, FUTURE CITY, V7, P235, DOI 10.1007/978-3-319-50280-9_19
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Handley J., 2003, Accessible Natural Green Space Standards in Towns and Cities: A Review and Toolkit for their Implementation
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Heath C., 2007, Made to stick: Why some ideas survive and others die
   Hewitt CN, 2020, AMBIO, V49, P62, DOI 10.1007/s13280-019-01164-3
   Holtan MT, 2015, ENVIRON BEHAV, V47, P502, DOI 10.1177/0013916513518064
   IS Global (2021), IS GLOB RANK CIT
   Janowiak M.K., 2021, Gen. Tech. Rep. Nrs-203
   Jarvis I, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107196
   Jayasekare AS, 2019, PAC RIM PROP RES J, V25, P141, DOI 10.1080/14445921.2019.1626543
   Kendal D, 2014, URBAN FOR URBAN GREE, V13, P411, DOI 10.1016/j.ufug.2014.04.004
   Kluck J., 2020, Heat Resilient Cities-adaptation to extreme temperatures in the Netherlands
   Kruuse Annika., 2011, GRaBS Expert Paper 6: The Green Space Factor and the Green Points System
   Leahy I, 2017, WHY WE NO LONGER REC
   Lindholst AC, 2016, URBAN FOR URBAN GREE, V17, P166, DOI 10.1016/j.ufug.2016.04.007
   Lottrup L, 2015, LANDSCAPE RES, V40, P57, DOI 10.1080/01426397.2013.829806
   Marselle MR, 2021, ENVIRON INT, V150, DOI 10.1016/j.envint.2021.106420
   Miles E., 2022, NATURE IS HUMAN RIGH
   Morgenroth J, 2016, URBAN FOR URBAN GREE, V15, P1, DOI 10.1016/j.ufug.2015.11.003
   Ngom R, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040423
   Nielsen AB, 2014, URBAN ECOSYST, V17, P305, DOI 10.1007/s11252-013-0316-1
   Quite Interesting, 2021, DISC POST 3 30 300 R
   Rahman MA, 2019, URBAN ECOSYST, V22, P683, DOI 10.1007/s11252-019-00853-x
   Rugel E.J., 2019, Ph.D. Thesis
   Santamour F.S., 1990, PROC SEV C METROTREE, P57
   Seattle Government, 2016, SEATTL CAN COV
   Shiraishi K, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127446
   Taylor K., 2020, Europe Has World's Highest Death Rate from Heatwaves: Study Euraktiv
   The Nature Conservancy, 2017, FUND TREES HLTH AN P
   Toftager M, 2011, J PHYS ACT HEALTH, V8, P741, DOI 10.1123/jpah.8.6.741
   Townsend JB, 2018, URBAN FOR URBAN GREE, V34, P205, DOI 10.1016/j.ufug.2018.06.004
   Tubby KV, 2010, FORESTRY, V83, P451, DOI 10.1093/forestry/cpq027
   UN, 2020, POLICY BRIEF COVID 1
   UNECE, 2022, ADV SUST URB PER FOR
   United Nations, 2022, Sustainable development goals
   van den Berg M, 2015, URBAN FOR URBAN GREE, V14, P806, DOI 10.1016/j.ufug.2015.07.008
   Van den Bosch MA, 2016, SCAND J PUBLIC HEALT, V44, P159, DOI 10.1177/1403494815615444
   Van Herzele A, 2003, LANDSCAPE URBAN PLAN, V63, P109, DOI 10.1016/S0169-2046(02)00192-5
   Velarde M. D., 2007, Urban Forestry & Urban Greening, V6, P199, DOI 10.1016/j.ufug.2007.07.001
   Watkins SL, 2018, J ENVIRON MANAGE, V209, P152, DOI 10.1016/j.jenvman.2017.12.021
   Weinbrenner H, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.672909
   WHO, 2016, URB GREEN SPAC HLTH
   Wustemann H, 2016, 649 SFB HUMB U BERL
   Yan X, 2021, IOP C SERIES EARTH E, V791
   Zhou WQ, 2021, ONE EARTH, V4, P1764, DOI 10.1016/j.oneear.2021.11.010
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 74
TC 109
Z9 116
U1 33
U2 100
PU NORTHEAST FORESTRY UNIV
PI HARBIN
PA NO 26 HEXING RD, XIANGFANG DISTRICT, HARBIN, 150040, PEOPLES R CHINA
SN 1007-662X
EI 1993-0607
J9 J FORESTRY RES
JI J. For. Res.
PD JUN
PY 2023
VL 34
IS 3
BP 821
EP 830
DI 10.1007/s11676-022-01523-z
EA AUG 2022
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA F7PF3
UT WOS:000844907900001
PM 36042873
OA hybrid, Green Published
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Hansford, KM
   Wheeler, BW
   Tshirren, B
   Medlock, JM
AF Hansford, Kayleigh M.
   Wheeler, Benedict W.
   Tshirren, Barbara
   Medlock, Jolyon M.
TI Urban woodland habitat is important for tick presence and density in a
   city in England
SO TICKS AND TICK-BORNE DISEASES
LA English
DT Article
DE Ixodes ricinus; Lyme disease; Green space; Borrelia miyamotoi; Habitat
   change; Connectivity
ID BURGDORFERI-SENSU-LATO; IXODES-RICINUS TICKS; BORRELIA-BURGDORFERI;
   ANAPLASMA-PHAGOCYTOPHILUM; LYME BORRELIOSIS; BORNE PATHOGENS; QUESTING
   TICKS; RECREATIONAL AREAS; BABESIA-MICROTI; RICKETTSIA SPP.
AB Urban green spaces provide an opportunity for contact between members of the public and ticks infected with pathogens. Understanding tick distribution within these areas and the drivers for increased tick density or Borrelia infection are important from a risk management perspective. This study aimed to generate data on tick presence, nymph density and Borrelia infection across a range of urban green space habitats, in order to identify those that may potentially present a higher risk of Lyme borreliosis to members of the public. Several sites were visited across the English city of Bath during 2015 and 2016. Tick presence was confirmed in all habitats sur-veyed, with increased likelihood in woodland and woodland edge. Highest nymph densities were also reported in these habitats, along with grassland during one of the sampling years. Adult ticks were more likely to be infected compared to nymphs, and the highest densities of infected nymphs were associated with woodland edge habitat. In addition to Lyme borreliosis causing Borrelia genospecies, Borrelia miyamotoi was also detected at several sites. This study adds to the growing evidence that urban green space habitats present a public health risk from tick bites, and this has implications for many policy areas including health and wellbeing, climate adaptation and urban green space planning.
C1 [Hansford, Kayleigh M.; Medlock, Jolyon M.] Publ Hlth England, Med Entomol & Zoonoses Ecol, Emergency Response Dept Sci & Technol, Porton Down, England.
   [Hansford, Kayleigh M.; Wheeler, Benedict W.] Univ Exeter, European Ctr Environm & Human Hlth, Med Sch, Truro, England.
   [Hansford, Kayleigh M.; Wheeler, Benedict W.; Medlock, Jolyon M.] Publ Hlth England, Hlth Protect Res Unit Environm Change & Hlth, Porton Down, England.
   [Tshirren, Barbara] Univ Exeter, Ctr Ecol & Conservat, Penryn, England.
   [Medlock, Jolyon M.] Publ Hlth England, Hlth Protect Res Unit Emerging & Zoonot Infect, Porton Down, England.
C3 Public Health England; University of Exeter; Public Health England;
   University of Exeter; Public Health England
RP Hansford, KM (corresponding author), Publ Hlth England, Med Entomol & Zoonoses Ecol, Emergency Response Dept Sci & Technol, Porton Down, England.
EM kayleigh.hansford@phe.gov.uk
RI ; Wheeler, Benedict/G-1711-2012; Tschirren, Barbara/F-8202-2011
OI Hansford, Kayleigh/0000-0002-2460-6301; Wheeler,
   Benedict/0000-0001-9404-5936; Tschirren, Barbara/0000-0003-4806-4102
FU Bath and North East Somerset Council; National Institute for Health
   Research Health Protection Research Unit (NIHR HPRU) in Environmental
   Change and Health at the London School of Hygiene & Tropical Medicine;
   Public Health England (PHE); University of Exeter; University College
   London; Met Office; NIHR HPRU in Emerging Infections and Zoonoses at the
   University of Liverpool; PHE; Liverpool School of Tropical Medicine
FX This work was a collaborative project between Public Health England and
   the University of Exeter and was completed as part of PhD studies by the
   lead author. The authors acknowledge the contribution from Benjamin
   Cull, Maaike Pietzsch, Liz McGinley, Maya Holding and Alexander Vaux,
   all current or past members of the Medical Entomology & Zoonoses Ecology
   Group, who conducted field work as part of this project. Sara Gandy is
   also acknowledged, for her training and guidance in relation to the
   statistical analyses. We thank Bath and North East Somerset Council for
   supporting this research and for taking a pro-active approach to tick
   awareness in their area. Finally, the authors would like to thank the
   three reviewers who helped improve an earlier version of the manuscript.
   Some of the authors (JMM, KMH) were partly funded by the National
   Institute for Health Research Health Protection Research Unit (NIHR
   HPRU) in Environmental Change and Health at the London School of Hygiene
   & Tropical Medicine in partnership with Public Health England (PHE), and
   in collaboration with the University of Exeter, University College
   London, and the Met Office; and JMM was partly funded by the NIHR HPRU
   in Emerging Infections and Zoonoses at the University of Liverpool in
   partnership with PHE and Liverpool School of Tropical Medicine. The
   views expressed are those of the authors and not necessarily those of
   the National Health Service, the NIHR, the Department of Health or PHE.
   The data that support the findings of this study are available from the
   corresponding author upon reasonable request. The authors declare no
   conflicts of interest.
CR Alekseev AN, 2001, J CLIN MICROBIOL, V39, P2237, DOI 10.1128/JCM.39.6.2237-2242.2001
   Anderson JF, 2008, INFECT DIS CLIN N AM, V22, P195, DOI 10.1016/j.idc.2007.12.006
   [Anonymous], 2017, Urban green spaces: a brief for action
   Basta J, 1999, EUR J CLIN MICROBIOL, V18, P515, DOI 10.1007/s100960050335
   Bayles BR, 2013, TICKS TICK-BORNE DIS, V4, P352, DOI 10.1016/j.ttbdis.2013.01.001
   Bettridge J, 2013, VECTOR-BORNE ZOONOT, V13, P139, DOI 10.1089/vbz.2012.1075
   Borsan SD, 2020, PARASITE VECTOR, V13, DOI 10.1186/s13071-020-04352-3
   Braks M, 2016, ECOLOGY PREVENTION L, DOI [10.3920/978-90-8686-838-4, DOI 10.3920/978-90-8686-838-4]
   Bukowska K, 2003, ANN AGR ENV MED, V10, P5
   Cairns V, 2019, BMJ OPEN, V9, DOI 10.1136/bmjopen-2018-025916
   Cekanac R, 2010, VECTOR-BORNE ZOONOT, V10, P447, DOI 10.1089/vbz.2009.0139
   Christova I, 1998, MED MICROBIOL IMMUN, V186, P171, DOI 10.1007/s004300050061
   Chvostác M, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15050994
   Corrain R, 2012, ZOONOSES PUBLIC HLTH, V59, P468, DOI 10.1111/j.1863-2378.2012.01490.x
   CRAINE NG, 1995, FOLIA PARASIT, V42, P73
   Cull B, 2021, MED VET ENTOMOL, V35, P352, DOI 10.1111/mve.12503
   Cull B, 2020, ZOONOSES PUBLIC HLTH, V67, P112, DOI 10.1111/zph.12659
   Cull B, 2018, TICKS TICK-BORNE DIS, V9, P605, DOI 10.1016/j.ttbdis.2018.01.011
   Defra J., 2018, A green future: our 25 year plan to improve the environment
   Department for Environment Food and Rural Affairs., 2011, BIOD 2020 STRAT ENGL
   Didyk YM, 2017, TICKS TICK-BORNE DIS, V8, P219, DOI 10.1016/j.ttbdis.2016.10.002
   Dobson ADM, 2011, TICKS TICK-BORNE DIS, V2, P67, DOI 10.1016/j.ttbdis.2011.03.002
   Estrada-Peña A, 1999, EXP APPL ACAROL, V23, P685, DOI 10.1023/A:1006241108739
   Estrada-Peña A, 2015, REV SCI TECH OIE, V34, P53, DOI 10.20506/rst.34.1.2345
   Estrada-Peña A, 2002, EXP APPL ACAROL, V28, P239, DOI 10.1023/A:1025362903620
   Estrada-Peña A, 2014, ANTIVIR RES, V108, P104, DOI 10.1016/j.antiviral.2014.05.016
   Estrada-Peña A, 2013, FRONT CELL INFECT MI, V3, DOI 10.3389/fcimb.2013.00029
   Fingerle V, 1999, MED MICROBIOL IMMUN, V188, P145, DOI 10.1007/s004300050117
   Goode David, 2014, Nature in towns and Cities
   Gray JS, 1999, EXP APPL ACAROL, V23, P717, DOI 10.1023/A:1006233700194
   Gray JS, 2002, WIEN KLIN WOCHENSCHR, V114, P473
   Greenfield B.P.J., 2011, Bioscience Horizons, V4, P140
   Grochowska A, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63883-y
   GUY EC, 1991, LANCET, V338, P253, DOI 10.1016/0140-6736(91)90392-3
   Hansford KM, 2015, EPIDEMIOL INFECT, V143, P1079, DOI 10.1017/S0950268814001691
   Hansford KM, 2017, TICKS TICK-BORNE DIS, V8, P353, DOI 10.1016/j.ttbdis.2016.12.009
   Harrison XA, 2014, PEERJ, V2, DOI 10.7717/peerj.616
   Hartig Florian, 2022, CRAN
   Hauck D, 2020, TICKS TICK-BORNE DIS, V11, DOI 10.1016/j.ttbdis.2020.101464
   Hercik K, 2007, FOLIA MICROBIOL, V52, P503, DOI 10.1007/BF02932111
   Herrmann C, 2015, PARASITE VECTOR, V8, DOI 10.1186/s13071-014-0526-2
   Heylen D, 2019, SCI TOTAL ENVIRON, V670, P941, DOI 10.1016/j.scitotenv.2019.03.235
   Hillyard PD., 1996, Ticks of north-west Europe. Synopses of the British fauna, N.S.
   Hodgkins GA, 2002, INT J CLIMATOL, V22, P1819, DOI 10.1002/joc.857
   Hope Ryan M, 2022, CRAN
   Hornok S, 2014, TICKS TICK-BORNE DIS, V5, P785, DOI 10.1016/j.ttbdis.2014.05.010
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Jameson LJ, 2011, VECTOR-BORNE ZOONOT, V11, P403, DOI 10.1089/vbz.2010.0079
   Junttila T, 1999, J CLIN MICROBIOL, V37, P1361, DOI 10.1128/JCM.37.5.1361-1365.1999
   Killilea ME, 2008, ECOHEALTH, V5, P167, DOI 10.1007/s10393-008-0171-3
   Kilpatrick AM, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0117
   Kirstein F, 1997, APPL ENVIRON MICROB, V63, P1102, DOI 10.1128/AEM.63.3.1102-1106.1997
   Klemola T, 2019, URBAN ECOSYST, V22, P817, DOI 10.1007/s11252-019-00854-w
   Koci J, 2007, EXP APPL ACAROL, V41, P147, DOI 10.1007/s10493-007-9048-3
   Kowalec M, 2017, PARASITE VECTOR, V10, DOI 10.1186/s13071-017-2391-2
   Krcmar S, 2014, SUMAR LIST, V138, P309
   Kubiak K, 2019, EXP APPL ACAROL, V78, P113, DOI 10.1007/s10493-019-00379-z
   Kurtenbach K, 1998, APPL ENVIRON MICROB, V64, P1169
   Kurtenbach K, 2001, APPL ENVIRON MICROB, V67, P4926, DOI 10.1128/AEM.67.10.4926-4929.2001
   Kybicová K, 2017, TICKS TICK-BORNE DIS, V8, P483, DOI 10.1016/j.ttbdis.2017.02.007
   Lambert JS, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0209881
   Layzell SJ, 2018, TICKS TICK-BORNE DIS, V9, P217, DOI 10.1016/j.ttbdis.2017.09.007
   Lenth Russell V, 2024, CRAN
   Li S, 2012, PARASITE VECTOR, V5, DOI 10.1186/1756-3305-5-149
   Li S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039612
   Lommano E, 2012, APPL ENVIRON MICROB, V78, P4606, DOI 10.1128/AEM.07961-11
   Lovell R., 2018, Health and the natural environment: A review of evidence, policy, practice and opportunities for the future
   Maetzel D, 2005, PARASITOL RES, V95, P5, DOI 10.1007/s00436-004-1240-3
   Makenov M, 2019, TICKS TICK-BORNE DIS, V10, DOI 10.1016/j.ttbdis.2019.101265
   Mäkinen J, 2003, APMIS, V111, P355, DOI 10.1034/j.1600-0463.2003.1110209.x
   Mannelli A, 2012, FEMS MICROBIOL REV, V36, P837, DOI 10.1111/j.1574-6976.2011.00312.x
   Marchant A, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183543
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   May K, 2015, MED VET ENTOMOL, V29, P425, DOI 10.1111/mve.12125
   Medlock JM, 2008, J MED ENTOMOL, V45, P314, DOI 10.1603/0022-2585(2008)45[314:IOEAED]2.0.CO;2
   Medlock JM, 2020, MED VET ENTOMOL, V34, P175, DOI 10.1111/mve.12428
   Medlock JM, 2012, J VECTOR ECOL, V37, P307, DOI 10.1111/j.1948-7134.2012.00232.x
   Mencke N, 2013, VET PARASITOL, V195, P256, DOI 10.1016/j.vetpar.2013.04.007
   Michalik J, 2003, J MED ENTOMOL, V40, P690, DOI 10.1603/0022-2585-40.5.690
   Millins C, 2018, PARASITE VECTOR, V11, DOI 10.1186/s13071-018-3200-2
   Millins C, 2016, PARASITE VECTOR, V9, DOI 10.1186/s13071-016-1875-9
   Millins C, 2015, APPL ENVIRON MICROB, V81, P4236, DOI 10.1128/AEM.00109-15
   Milne A, 1943, ANN APPL BIOL, V30, P240, DOI 10.1111/j.1744-7348.1943.tb06195.x
   Natural England, 2003, ACCESSIBLE NATURAL G
   Nelson C, 2015, MED VET ENTOMOL, V29, P448, DOI 10.1111/mve.12137
   Nyrhilä S, 2020, EXP APPL ACAROL, V82, P571, DOI 10.1007/s10493-020-00564-5
   Oechslin CP, 2017, PARASITE VECTOR, V10, DOI 10.1186/s13071-017-2500-2
   Pangrácová L, 2013, PARASITE VECTOR, V6, DOI 10.1186/1756-3305-6-238
   Parola P, 2011, EMERG INFECT DIS, V17, P883, DOI 10.3201/eid1705.100573
   Pejchalová K, 2007, ANN AGR ENV MED, V14, P75
   Pet'ko B., 1997, Annals of Agricultural and Environmental Medicine, V4, P263
   Pfäffle M, 2013, INT J PARASITOL, V43, P1059, DOI 10.1016/j.ijpara.2013.06.009
   Piesman J, 2004, PARASITOLOGY, V129, pS191, DOI 10.1017/S0031182003004694
   Plch J, 1999, ZBL BAKT-INT J MED M, V289, P79, DOI 10.1016/S0934-8840(99)80127-3
   R Development Core Team, 2009, R: a language and environment for statistical computing
   Reis C, 2011, VECTOR-BORNE ZOONOT, V11, P907, DOI 10.1089/vbz.2010.0103
   Reye AL, 2010, APPL ENVIRON MICROB, V76, P2923, DOI 10.1128/AEM.03061-09
   Rizzoli A, 2014, FRONT PUBLIC HEALTH, V2, DOI 10.3389/fpubh.2014.00251
   Schicht S, 2012, J MED ENTOMOL, V49, P766, DOI 10.1603/ME11204
   Sen E, 2011, TICKS TICK-BORNE DIS, V2, P94, DOI 10.1016/j.ttbdis.2011.03.004
   Sormunen JJ, 2020, ZOONOSES PUBLIC HLTH, V67, P822, DOI 10.1111/zph.12767
   Sorouri R, 2015, BIOIMPACTS, V5, P71, DOI 10.15171/bi.2015.08
   Sprong H, 2018, PARASITE VECTOR, V11, DOI 10.1186/s13071-018-2744-5
   Stanczak J, 2004, ANN AGR ENV MED, V11, P109
   Steere AC, 2016, NAT REV DIS PRIMERS, V2, DOI 10.1038/nrdp.2016.90
   Sytykiewicz H, 2012, ANN AGR ENV MED, V19, P451
   Szekeres S, 2017, TICKS TICK-BORNE DIS, V8, P922, DOI 10.1016/j.ttbdis.2017.08.002
   Tappe J, 2014, PARASITE VECTOR, V7, DOI 10.1186/1756-3305-7-441
   Tilly K, 2008, INFECT DIS CLIN N AM, V22, P217, DOI 10.1016/j.idc.2007.12.013
   Twohig-Bennett C, 2018, ENVIRON RES, V166, P628, DOI 10.1016/j.envres.2018.06.030
   Uspensky I, 2014, TICKS TICK-BORNE DIS, V5, P41, DOI 10.1016/j.ttbdis.2013.07.011
   Vaculová T, 2019, ACTA PARASITOL, V64, P19, DOI 10.2478/s11686-018-00004-w
   Venclíková K, 2014, ACTA PARASITOL, V59, P717, DOI 10.2478/s11686-014-0296-1
   Vogelgesang JR, 2020, EXP APPL ACAROL, V81, P409, DOI 10.1007/s10493-020-00511-4
   Vollmer SA, 2011, ENVIRON MICROBIOL, V13, P184, DOI 10.1111/j.1462-2920.2010.02319.x
   Vourc'h G, 2016, TICKS TICK-BORNE DIS, V7, P644, DOI 10.1016/j.ttbdis.2016.02.008
   Welc-Faleciak R, 2014, PARASITE VECTOR, V7, DOI 10.1186/1756-3305-7-121
   Wheeler BW, 2015, INT J HEALTH GEOGR, V14, DOI 10.1186/s12942-015-0009-5
   Wielinga PR, 2006, APPL ENVIRON MICROB, V72, P7594, DOI 10.1128/AEM.01851-06
   Wood CL, 2013, TRENDS ECOL EVOL, V28, P239, DOI 10.1016/j.tree.2012.10.011
   Zuur Alain F., 2009, P1
   Zygutien e, 2008, Ekologija, V54, P40
NR 122
TC 7
Z9 7
U1 3
U2 30
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1877-959X
EI 1877-9603
J9 TICKS TICK-BORNE DIS
JI Ticks Tick-Borne Dis.
PD JAN
PY 2022
VL 13
IS 1
AR 101857
DI 10.1016/j.ttbdis.2021.101857
PG 10
WC Infectious Diseases; Microbiology; Parasitology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Infectious Diseases; Microbiology; Parasitology
GA 2Q1NJ
UT WOS:000820195300007
PM 34763308
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Khang, NHM
   Quang, NT
   Mai, HNX
   Phuong, NDN
   Thao, NP
   Quoc, NB
AF Khang, Nguyen Hoang Minh
   Quang, Nguyen Thien
   Mai, Hoang Ngoc Xuan
   Phuong, Nguyen Doan Nguyen
   Thao, Nguyen Phuong
   Quoc, Nguyen Bao
TI Genetic characterization of coconut (<i>Cocos nucifera</i> L.) varieties
   conserved in Vietnam through SCoT marker-based polymorphisms
SO GENETIC RESOURCES AND CROP EVOLUTION
LA English
DT Article
DE Coconut; SCoT; Genetic diversity; Dwarf; Tall; Varieties
ID MICROSATELLITE MARKERS; POPULATION-STRUCTURE; DIVERSITY; ACCESSIONS;
   DNA; IDENTIFICATION; TRANSCRIPTOME; EMPHASIS; LEVEL
AB Coconut (Cocos nucifera L.) production sustains millions of smallholder farmers and their families around the globe, and also powers a thriving industry of climate-adaptive nutrition and biomaterials. Demand for high-quality planting materials has risen sharply in recent years, calling for greater understanding and potential utilization of the genetic diversity in coconut populations. Genetic diversity among several conserved coconut varieties in Vietnam was investigated to assess the suitability of 15 start codon targeted (SCoT) primers for future selective breeding programs. Amplification of 15 SCoT primers in 57 individuals from 19 coconut varieties revealed high intra-varietal diversity (Nei's genetic diversity index = 0.237, Shannon's Information index = 0.352), especially among the Vietnamese Dwarfs. Intriguingly, inter-varietal differentiation accounted for only 9.41% of total genetic variation. The designated SCoT primers were moderately informative. On average, each primer had 9.5 reproducible polymorphic bands per reaction. Polymorphism Information Content (PIC) per locus ranged between 0.217 and 0.390, with Resolving power (Rp) between 0.271 and 0.599. Principal Coordinate Analysis (PCoA) and Unweighted Pair Group Method with Arithmetic mean (UPGMA) analyses revealed distinct clusters for non-native Dwarf, native Dwarf, and Tall varieties. This paper represents the first-of-its-kind attempt to shed light on coconut genetic diversity in Vietnam using molecular markers.
C1 [Khang, Nguyen Hoang Minh; Quang, Nguyen Thien; Thao, Nguyen Phuong] Int Univ, Sch Biotechnol, Appl Biotechnol Crop Dev Res Unit, Quarter 6, Thu Duc 700000, Ho Chi Minh, Vietnam.
   [Khang, Nguyen Hoang Minh; Quang, Nguyen Thien; Thao, Nguyen Phuong] Vietnam Natl Univ, Thu Duc 700000, Ho Chi Minh, Vietnam.
   [Mai, Hoang Ngoc Xuan; Phuong, Nguyen Doan Nguyen; Quoc, Nguyen Bao] Nong Lam Univ, Res Inst Biotechnol & Environm, Thu Duc, Ho Chi Minh, Vietnam.
C3 Vietnam National University Ho Chi Minh City (VNUHCM) System; VNU-HCM
   International University (VNUHCM-IU); Vietnam National University Ho Chi
   Minh City (VNUHCM) System; Nong Lam University
RP Thao, NP (corresponding author), Int Univ, Sch Biotechnol, Appl Biotechnol Crop Dev Res Unit, Quarter 6, Thu Duc 700000, Ho Chi Minh, Vietnam.; Quoc, NB (corresponding author), Nong Lam Univ, Res Inst Biotechnol & Environm, Thu Duc, Ho Chi Minh, Vietnam.
EM npthao@hcmiu.edu.vn; baoquoc@hcmuaf.edu.vn
RI Nguyen, Hung/AGR-0579-2022; Nguyen, Huong/IXN-3671-2023; Nguyen,
   Quang/Y-8745-2018; Thao, Nguyen/D-3395-2015; Nguyen, Nga/JNR-1777-2023
OI Nguyen Phuong, Thao/0000-0003-1078-8164
FU Ministry of Science and Technology (MOST, Vietnam) [DTDL.CN-12/19]
FX This research was funded by the Ministry of Science and Technology
   (MOST, Vietnam) under grant number DTDL.CN-12/19.
CR [Anonymous], 2000, NTSYSPC NUMERICAL TA
   Ashburner GR, 1997, CROP SCI, V37, P992, DOI 10.2135/cropsci1997.0011183X003700030048x
   Baudouin L, 2009, OCL OILS FAT CROP LI, V16, P127, DOI 10.1051/ocl.2009.0244
   Chen Hu Chen Hu, 2010, Acta Horticulturae Sinica, V37, P1651
   Collard BCY, 2009, PLANT MOL BIOL REP, V27, P86, DOI 10.1007/s11105-008-0060-5
   Dasanayaka PN, 2009, J NATL SCI FOUND SRI, V37, P99, DOI 10.4038/jnsfsr.v37i2.1065
   De Riek J, 2001, THEOR APPL GENET, V103, P1254, DOI 10.1007/s001220100710
   Duran Y., 1997, Journal of Genetics and Breeding, V51, P279
   Geethanjali S, 2018, PLANT GENET RESOUR-C, V16, P156, DOI 10.1017/S1479262117000119
   Gregg K, 1996, TROP AGR RES, V8, P124
   Gunn BF, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021143
   Guo XQ, 1999, HUM HERED, V49, P112, DOI 10.1159/000022855
   Hartana A, 2000, IN INT C SCI TECHN M, P12
   HENNINK S, 1990, EUPHYTICA, V51, P235, DOI 10.1007/BF00039724
   Jerard BA., 2018, BOT ORIGIN GENETIC R
   Lebrun P, 1998, EUPHYTICA, V101, P103, DOI 10.1023/A:1018323721803
   Lebrun P, 2001, GENOME, V44, P962, DOI 10.1139/gen-44-6-962
   Lewontin RC., 1972, Evolutionary biology, P381, DOI [10.1007/978-1-4684-9063-3_14, DOI 10.1007/978-1-4684-9063-314, 10.1007/978-1-4684-9063-314]
   Loiola CM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151309
   Manimekalai R., 2006, Tropical Agricultural Research, V18, P217
   Mao JX, 1997, MOL BIOL BIOTECHNOLO, V10, P295
   Mauro-Herrera M, 2007, SCI HORTIC-AMSTERDAM, V115, P19, DOI 10.1016/j.scienta.2007.07.005
   Meerow AW, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007353
   Meerow AW, 2003, THEOR APPL GENET, V106, P715, DOI 10.1007/s00122-002-1121-z
   NEI M, 1974, GENETICS, V76, P379
   Oyoo M. E., 2016, African Journal of Biotechnology, V15, P2215
   Parthasarathy VA., 2018, COCONUT BIOTECHNOLOG
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Peakall R, 2012, BIOINFORMATICS, V28, P2537, DOI 10.1093/bioinformatics/bts460
   Perera L, 2003, EUPHYTICA, V132, P121, DOI 10.1023/A:1024696303261
   Perera L, 1998, THEOR APPL GENET, V96, P545, DOI 10.1007/s001220050772
   Perera L, 2000, GENOME, V43, P15, DOI 10.1139/gen-43-1-15
   Preethi P, 2020, MOL BIOL REP, V47, P9385, DOI 10.1007/s11033-020-05981-8
   Prevost A, 1999, THEOR APPL GENET, V98, P107, DOI 10.1007/s001220051046
   Rajesh MK, 2016, PROTOPLASMA, V253, P913, DOI 10.1007/s00709-015-0856-8
   Rajesh MK, 2016, INDIAN J GENET PL BR, V76, P119, DOI 10.5958/0975-6906.2016.00019.5
   Rajesh MK, 2015, 3 BIOTECH, V5, P999, DOI 10.1007/s13205-015-0304-7
   Rajesh MK, 2014, CROP BREED APPL BIOT, V14, P36, DOI 10.1590/S1984-70332014000100006
   Ratnambal MJ, 1993, ADV COCONUT RES DEV, P51
   Reynolds KB, 2019, PLANT CELL PHYSIOL, V60, P945, DOI 10.1093/pcp/pcy247
   Ritter E, 1996, PHILIPPINE J CROP SC, V21, P26
   Rivera R, 1999, GENOME, V42, P668, DOI 10.1139/gen-42-4-668
   Rohde W., 2002, BUROTROP B, V20, P13
   Saensuk C, 2016, PLANT SCI, V252, P324, DOI 10.1016/j.plantsci.2016.08.014
   Shalini KV, 2007, GENOME, V50, P35, DOI 10.1139/G06-136
   Spellerberg IF, 2003, GLOBAL ECOL BIOGEOGR, V12, P177, DOI 10.1046/j.1466-822X.2003.00015.x
   Teulat B, 2000, THEOR APPL GENET, V100, P764, DOI 10.1007/s001220051350
   Upadhyay A, 2004, SCI HORTIC-AMSTERDAM, V99, P353, DOI 10.1016/S0304-4238(03)00103-1
   Xiao Y, 2013, PLANT OMICS, V6, P193
   Yang YD, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01593-x
   Zhang JunYu Zhang JunYu, 2011, Journal of Fruit Science, V28, P209
   Zizumbo-Villarreal D, 2006, CROP SCI, V46, P2509, DOI 10.2135/cropsci2005.12-0462
NR 52
TC 3
Z9 3
U1 1
U2 12
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0925-9864
EI 1573-5109
J9 GENET RESOUR CROP EV
JI Genet. Resour. Crop Evol.
PD JAN
PY 2022
VL 69
IS 1
BP 385
EP 398
DI 10.1007/s10722-021-01237-x
EA JUN 2021
PG 14
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA YC8ZY
UT WOS:000667633600002
DA 2025-01-10
ER

PT J
AU Shu, ZR
   Chan, PW
   Li, QS
   He, YC
AF Shu, Z. R.
   Chan, P. W.
   Li, Q. S.
   He, Y. C.
TI Dynamic Characterization of Wind Speed under Extreme Conditions by
   Recurrence-Based Techniques: Comparative Study
SO JOURNAL OF AEROSPACE ENGINEERING
LA English
DT Article
DE Extreme wind condition; Time series analysis; Nonlinear dynamic;
   Recurrence plot; Recurrence quantification analysis; Transmission line
   design
ID QUANTIFICATION ANALYSIS; TRANSMISSION-LINE; TIME-SERIES; DOWNBURST;
   PLOT; THUNDERSTORM; VARIABILITY; REGIME; TOWERS
AB Transmission lines (TLs) are vulnerable to wind actions. Notwithstanding the fact that the behavior of transmission lines under strong winds has been investigated in numerous studies, wind-induced failures of TLs are still common worldwide, which are mainly due to the lack of accurate understanding of the tremendous variability in wind speed. The main goal of this paper is to extend the concept of nonlinear dynamic analysis to identify and characterize the dynamic structures hidden in wind speed fluctuation, which are responsible for generating the variability in wind speed. Two well-established nonlinear dynamic analysis techniques, namely, recurrence plot and recurrence quantification analysis, are applied to diagnose the underlying dynamic characteristics. The results indicate that wind speed time series, regardless of the type of wind event, are likely to exhibit chaotic behavior. Often, the dynamics associated with monsoons are more complex than those for tropical cyclone and thunderstorm winds. Moreover, site-to-site variability in wind speed dynamics is also apparent, which is due mainly to the terrain-enhanced effect. The outcomes of this study are expected to provide a new avenue to aid the wind-resistant design of TL systems, and to accelerate the advancement in wind load design codes and climate-adapted decision-making procedures.
C1 [Shu, Z. R.] Univ Birmingham, Dept Civil Engn, Birmingham B15 2TT, W Midlands, England.
   [Chan, P. W.] Hong Kong Observ, Kowloon, Hong Kong 999077, Peoples R China.
   [Li, Q. S.] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong 999077, Peoples R China.
   [He, Y. C.] Guangzhou Univ, Joint Res Ctr Engn Struct Disaster Prevent & Cont, Guangzhou 510006, Peoples R China.
C3 University of Birmingham; City University of Hong Kong; Guangzhou
   University
RP Li, QS (corresponding author), City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong 999077, Peoples R China.
EM z.shu@bham.ac.uk; pwchan@hko.gov.hk; bcqsli@cityu.edu.hk;
   yuncheng@gzhu.edu.cn
RI LI, QS/IED-7767-2023; he, yun/JMB-6362-2023; Chan, Pak Wai/C-8447-2011
OI Chan, Pak Wai/0000-0003-2289-0609
FU Hong Kong Observatory; National Natural Science Foundation of China
   [51978593]; Research Grants Council of Hong Kong Special Administrative
   Region, China [CityU 11207519, CityU 11204020]
FX The authors would like to acknowledge Hong Kong Observatory for its
   support and cooperation in this study. The constructive comments from
   the anonymous reviewers are greatly appreciated. We also would like to
   thank Dr. Norbert Marwan for providing access to the MATLAB toolbox. The
   work described in this paper was fully supported by grants from the
   National Natural Science Foundation of China (Project No. 51978593) and
   the Research Grants Council of Hong Kong Special Administrative Region,
   China (Project Nos. CityU 11207519 and CityU 11204020).
CR Aboshosha H, 2016, ENG STRUCT, V112, P23, DOI 10.1016/j.engstruct.2016.01.003
   Aboshosha H, 2015, WIND STRUCT, V21, P241
   Adeniji AE, 2018, AIP ADV, V8, DOI 10.1063/1.4998674
   Anderson NC, 2013, BEHAV RES METHODS, V45, P842, DOI 10.3758/s13428-012-0299-5
   [Anonymous], 1981, Lecture Notes in Mathematics, DOI [10.1007/BFb0091924, DOI 10.1007/BFB0091924]
   Bastos JA, 2011, PHYSICA A, V390, P1315, DOI 10.1016/j.physa.2010.12.008
   Belaire-Franch J, 2002, PHYSICA D, V171, P249, DOI 10.1016/S0167-2789(02)00625-5
   Chen WS, 2011, PHYSICA A, V390, P1332, DOI 10.1016/j.physa.2010.12.020
   Choi ECC, 2002, J WIND ENG IND AEROD, V90, P1683, DOI 10.1016/S0167-6105(02)00279-9
   Cook NJ, 2003, J WIND ENG IND AEROD, V91, P403, DOI 10.1016/S0167-6105(02)00397-5
   De Domenico M, 2013, APPL MATH MODEL, V37, P3687, DOI 10.1016/j.apm.2012.08.018
   ECKMANN JP, 1987, EUROPHYS LETT, V4, P973, DOI 10.1209/0295-5075/4/9/004
   El Damatty A., 2013, P 8 AS PAC C WIND EN, DOI [10.3850/978-981-07-8012-8_Key-01, DOI 10.3850/978-981-07-8012-8_KEY-01]
   Elawady A, 2016, ENG STRUCT, V127, P206, DOI 10.1016/j.engstruct.2016.08.030
   Fabretti A, 2005, INT J MOD PHYS C, V16, P671, DOI 10.1142/S0129183105007492
   Fu X, 2016, STRUCT SAF, V58, P1, DOI 10.1016/j.strusafe.2015.08.002
   Hamada A, 2011, COMPUT STRUCT, V89, P986, DOI 10.1016/j.compstruc.2011.01.015
   Hawes H, 1993, P TASK FORC HIGH INT
   He YC, 2013, J WIND ENG IND AEROD, V120, P51, DOI 10.1016/j.jweia.2013.06.016
   Hegger R, 1999, CHAOS, V9, P413, DOI 10.1063/1.166424
   Kanák J, 2007, ATMOS RES, V83, P162, DOI 10.1016/j.atmosres.2005.09.012
   KENNEL MB, 1992, PHYS REV A, V45, P3403, DOI 10.1103/PhysRevA.45.3403
   Letchford C.W., 2004, P 6 UK C WIND ENG, V1, P5
   Lin WE, 2012, J WIND ENG IND AEROD, V100, P58, DOI 10.1016/j.jweia.2011.10.005
   Loredo-Souza AM, 2003, J WIND ENG IND AEROD, V91, P995, DOI 10.1016/S0167-6105(03)00048-5
   Loredo-Souza AM, 1998, J WIND ENG IND AEROD, V74-6, P987, DOI 10.1016/S0167-6105(98)00090-7
   Marwan N, 2002, PHYS REV E, V66, DOI 10.1103/PhysRevE.66.026702
   Marwan N., 2003, Encounters with Neighbours: Current Developments of Concepts Based on Recurrence Plots and Their Applications
   Marwan N., 2010, Cross recurrence plot toolbox 5.16 (r28.8)
   Mestivier D, 1997, AM J PHYSIOL-HEART C, V272, pH1094, DOI 10.1152/ajpheart.1997.272.3.H1094
   PACKARD NH, 1980, PHYS REV LETT, V45, P712, DOI 10.1103/PhysRevLett.45.712
   Schmidthaler M, 2016, COMPUT SCI-RES DEV, V31, P157, DOI 10.1007/s00450-014-0281-9
   Shehata AY, 2005, FINITE ELEM ANAL DES, V42, P71, DOI 10.1016/j.finel.2005.05.005
   Shu ZR, 2021, INT J CLIMATOL, V41, pE2913, DOI 10.1002/joc.6891
   Sivakumar B, 2014, STOCH ENV RES RISK A, V28, P17, DOI 10.1007/s00477-013-0689-y
   Solheim OR, 2016, 2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS)
   Strozzi F, 2002, PHYSICA A, V312, P520, DOI 10.1016/S0378-4371(02)00846-4
   Trauth MH, 2019, CLIM DYNAM, V53, P2557, DOI 10.1007/s00382-019-04641-3
   TWISDALE LA, 1992, J WIND ENG IND AEROD, V41, P545, DOI 10.1016/0167-6105(92)90461-I
   WEBBER CL, 1994, J APPL PHYSIOL, V76, P965, DOI 10.1152/jappl.1994.76.2.965
   Wu ZB, 2004, PHYS LETT A, V332, P250, DOI 10.1016/j.physleta.2004.09.061
   Yang SC, 2016, ENG STRUCT, V123, P490, DOI 10.1016/j.engstruct.2016.05.047
   Zaldívar JM, 2008, ECOL MODEL, V210, P58, DOI 10.1016/j.ecolmodel.2007.07.012
   Zbilut JP, 2002, MED ENG PHYS, V24, P53, DOI 10.1016/S1350-4533(01)00112-6
   ZBILUT JP, 1992, PHYS LETT A, V171, P199, DOI 10.1016/0375-9601(92)90426-M
   Zhang M, 2017, SHOCK VIB, V2017, DOI 10.1155/2017/1205976
   Zhang Y., 2006, East China Electric Power, V34, P28
NR 47
TC 9
Z9 10
U1 2
U2 11
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0893-1321
EI 1943-5525
J9 J AEROSPACE ENG
JI J. Aerosp. Eng.
PD MAR 1
PY 2021
VL 34
IS 2
AR 04020114
DI 10.1061/(ASCE)AS.1943-5525.0001222
PG 8
WC Engineering, Aerospace; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA TH9MV
UT WOS:000672407800006
DA 2025-01-10
ER

PT J
AU Zang, HX
   Cheng, LL
   Ding, T
   Cheung, KW
   Wang, MM
   Wei, ZN
   Sun, GQ
AF Zang, Haixiang
   Cheng, Lilin
   Ding, Tao
   Cheung, Kwok W.
   Wang, Miaomiao
   Wei, Zhinong
   Sun, Guoqiang
TI Estimation and validation of daily global solar radiation by day of the
   year-based models for different climates in China
SO RENEWABLE ENERGY
LA English
DT Article
DE Global solar radiation estimation; Day of the year; Empirical models;
   Machine learning
ID MACHINE-LEARNING ALGORITHMS; SUNSHINE DURATION; AIR-TEMPERATURE;
   EMPIRICAL-MODELS; CLOUD COVER; PREDICTION; IRRADIANCE; DIFFUSE; SYSTEM;
   SVM
AB Day of the year-based (DYB) models can achieve great accuracy in daily global solar radiation estimation without specific meteorological elements. Many empirical models (EMs) and machine learning (ML) methods have been proposed for DYB models. However, the number of their comparative studies based on diverse climates is limited. In this study, a grand total of 14 DYB models are established to estimate daily global solar radiation based on measured data from 1994 to 2015 at 35 meteorological stations in six climate zones of China. Detailed tasks are as follows: (1) Seven EMs and seven ML models are trained for solar radiation estimation. (2) A new EM and two novel ML models are proposed, i.e. hybrid 3rd order polynomial and sine wave model, adaptive neuro-fuzzy inference system (ANFIS) optimized by chaotic firefly algorithm (CFA) and ANFIS optimized by whale optimization algorithm with simulated annealing and roulette wheel selection (WOASAR). (3) Four statistical indicators are utilized to compare those models, and the best model for each station is decided. (4) We discuss the model parameters and climate variances of six specific stations in different climate zones. The comparison results demonstrate superb estimation precision and climate adaptability of the newly proposed models. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Zang, Haixiang; Cheng, Lilin; Wang, Miaomiao; Wei, Zhinong; Sun, Guoqiang] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Jiangsu, Peoples R China.
   [Ding, Tao] Xi An Jiao Tong Univ, Dept Elect Engn, Xian 710049, Shaanxi, Peoples R China.
   [Cheung, Kwok W.] GE Grid Solut, Redmond, WA 98052 USA.
C3 Hohai University; Xi'an Jiaotong University; General Electric
RP Zang, HX (corresponding author), Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Jiangsu, Peoples R China.
EM zanghaixiang@hhu.edu.cn
RI ding, tao/U-7871-2019
OI Cheung, Kwok/0000-0001-6655-5584; Zang, Haixiang/0000-0003-4177-2237
FU National Natural Science Foundation of China [51507052]; Fundamental
   Research Funds for the Central Universities [2018B15414]
FX The research is supported by National Natural Science Foundation of
   China (Program No. 51507052) and the Fundamental Research Funds for the
   Central Universities (Program No. 2018B15414). The authors would also
   like to extend the gratitude to the China Meteorological Administration.
CR Abdulshahed AM, 2015, APPL MATH MODEL, V39, P1837, DOI 10.1016/j.apm.2014.10.016
   Al-Salaymeh A., 2006, Emirates Journal for Engineering Research, V11, P49
   Almorox J, 2011, APPL ENERG, V88, P1703, DOI 10.1016/j.apenergy.2010.11.003
   Almorox J, 2013, RENEW ENERG, V60, P382, DOI 10.1016/j.renene.2013.05.033
   Anitescu M, 2012, SIAM J SCI COMPUT, V34, pA240, DOI 10.1137/110831143
   Aoun N, 2017, EUR PHYS J PLUS, V132, P1, DOI 10.1140/epjp/i2017-11495-7
   Badescu V, 2002, THEOR APPL CLIMATOL, V72, P127, DOI 10.1007/s007040200017
   Bakirci K, 2009, RENEW SUST ENERG REV, V13, P2580, DOI 10.1016/j.rser.2009.07.011
   Baser F, 2017, ENERGY, V123, P229, DOI 10.1016/j.energy.2017.02.008
   Basser H, 2015, APPL SOFT COMPUT, V30, P642, DOI 10.1016/j.asoc.2015.02.011
   Bilbao J, 2002, J APPL METEOROL, V41, P872, DOI 10.1175/1520-0450(2002)041<0872:ATMEIT>2.0.CO;2
   Bulut H, 2007, APPL ENERG, V84, P477, DOI 10.1016/j.apenergy.2006.10.003
   Celik Ö, 2016, J CLEAN PROD, V116, P1, DOI 10.1016/j.jclepro.2015.12.082
   Chelbi M, 2015, ENERG CONVERS MANAGE, V101, P203, DOI 10.1016/j.enconman.2015.04.052
   Demirhan H, 2018, APPL ENERG, V225, P998, DOI 10.1016/j.apenergy.2018.05.054
   Eftekhari M, 2008, APPL MATH MODEL, V32, P2634, DOI 10.1016/j.apm.2007.09.023
   Eseye AT, 2018, RENEW ENERG, V118, P357, DOI 10.1016/j.renene.2017.11.011
   Fan GF, 2016, NEUROCOMPUTING, V173, P958, DOI 10.1016/j.neucom.2015.08.051
   Fan JL, 2018, ENERG CONVERS MANAGE, V156, P618, DOI 10.1016/j.enconman.2017.11.085
   Fan JL, 2018, ENERGY, V144, P903, DOI 10.1016/j.energy.2017.12.091
   Fister I, 2015, APPL MATH COMPUT, V252, P155, DOI 10.1016/j.amc.2014.12.006
   Gandomi AH, 2013, COMMUN NONLINEAR SCI, V18, P89, DOI 10.1016/j.cnsns.2012.06.009
   Guo LJ, 2009, ENERGY, V34, P1073, DOI 10.1016/j.energy.2009.03.012
   Halabi LM, 2018, APPL ENERG, V213, P247, DOI 10.1016/j.apenergy.2018.01.035
   Hassan GE, 2016, J ATMOS SOL-TERR PHY, V149, P69, DOI 10.1016/j.jastp.2016.09.011
   Hassan GE, 2016, APPL ENERG, V179, P437, DOI 10.1016/j.apenergy.2016.07.006
   Hassan MA, 2018, RENEW SUST ENERG REV, V82, P1565, DOI 10.1016/j.rser.2017.07.002
   Hassan MA, 2017, RENEW ENERG, V111, P52, DOI 10.1016/j.renene.2017.03.083
   Hayati M, 2010, MICROELECTRON J, V41, P381, DOI 10.1016/j.mejo.2010.04.009
   He LF, 2017, NEUROCOMPUTING, V240, P152, DOI 10.1016/j.neucom.2017.02.040
   Ho-Huu V, 2018, NEURAL COMPUT APPL, V29, P167, DOI 10.1007/s00521-016-2426-1
   Hu JM, 2015, ENERGY, V93, P1456, DOI 10.1016/j.energy.2015.10.041
   Janjai S, 2009, APPL ENERG, V86, P1450, DOI 10.1016/j.apenergy.2009.02.005
   Kaplanis S, 2007, RENEW ENERG, V32, P1414, DOI 10.1016/j.renene.2006.06.014
   Kaushika ND, 2014, SOL ENERGY, V103, P327, DOI 10.1016/j.solener.2014.02.015
   Khorasanizadeh H, 2013, ENERG CONVERS MANAGE, V76, P385, DOI 10.1016/j.enconman.2013.07.073
   Khorasanizadeh H, 2014, ENERG CONVERS MANAGE, V87, P37, DOI 10.1016/j.enconman.2014.06.086
   Khosravi A, 2018, APPL ENERG, V224, P550, DOI 10.1016/j.apenergy.2018.05.043
   Khosravi A, 2018, J CLEAN PROD, V176, P63, DOI 10.1016/j.jclepro.2017.12.065
   Kisi O, 2017, J IRRIG DRAIN ENG, V143, DOI [10.1061/(asce)ir.1943-4774.0001242, 10.1061/(ASCE)IR.1943-4774.0001242]
   Kocifaj M, 2012, SOL ENERGY, V86, P3575, DOI 10.1016/j.solener.2012.06.022
   Kocifaj M, 2016, APPL ENERG, V166, P117, DOI 10.1016/j.apenergy.2016.01.024
   Kómar L, 2016, J ATMOS SOL-TERR PHY, V150, P1, DOI 10.1016/j.jastp.2016.10.011
   Kuo BC, 2014, IEEE J-STARS, V7, P317, DOI 10.1109/JSTARS.2013.2262926
   Li HS, 2011, RENEW ENERG, V36, P3141, DOI 10.1016/j.renene.2011.03.019
   Li HS, 2010, APPL ENERG, V87, P3011, DOI 10.1016/j.apenergy.2010.03.028
   Li ZS, 2007, ENERG POLICY, V35, P4121, DOI 10.1016/j.enpol.2007.02.006
   Liang QL, 2000, IEEE T FUZZY SYST, V8, P535, DOI 10.1109/91.873577
   Liu LQ, 2010, RENEW SUST ENERG REV, V14, P301, DOI 10.1016/j.rser.2009.08.005
   Liu XY, 2009, AGR FOREST METEOROL, V149, P1433, DOI 10.1016/j.agrformet.2009.03.012
   Lou SW, 2016, APPL ENERG, V181, P367, DOI 10.1016/j.apenergy.2016.08.093
   Mafarja MM, 2017, NEUROCOMPUTING, V260, P302, DOI 10.1016/j.neucom.2017.04.053
   Martí P, 2011, ENERG CONVERS MANAGE, V52, P990, DOI 10.1016/j.enconman.2010.08.027
   Mefti A, 2008, ENERG CONVERS MANAGE, V49, P652, DOI 10.1016/j.enconman.2007.07.041
   Mirjalili S, 2016, ADV ENG SOFTW, V95, P51, DOI 10.1016/j.advengsoft.2016.01.008
   Mohammadi K, 2015, ENERG CONVERS MANAGE, V93, P406, DOI 10.1016/j.enconman.2015.01.021
   Ogunjobi KO, 2004, ATMOS RES, V70, P209, DOI 10.1016/j.atmosres.2004.01.003
   Park SH, 2005, Proceedings of the 2005 International Symposium on Electrical Insulating Materials, Vols, 1-3, P849, DOI 10.1109/ISEIM.2005.193512
   Quej VH, 2017, J ATMOS SOL-TERR PHY, V155, P62, DOI 10.1016/j.jastp.2017.02.002
   Quej VH, 2017, J CLEAN PROD, V141, P75, DOI 10.1016/j.jclepro.2016.09.062
   Rehman S, 2008, ENERG POLICY, V36, P571, DOI 10.1016/j.enpol.2007.09.033
   Shamshirband S., 2016, ENV EARTH SCI, V75
   Urban F, 2016, RENEW SUST ENERG REV, V64, P531, DOI 10.1016/j.rser.2016.06.023
   Winslow JC, 2001, ECOL MODEL, V143, P227, DOI 10.1016/S0304-3800(01)00341-6
   Xie H, 2012, RENEW SUST ENERG REV, V16, P113, DOI 10.1016/j.rser.2011.07.140
   Yadav AK, 2014, RENEW SUST ENERG REV, V31, P509, DOI 10.1016/j.rser.2013.12.008
   Yang L, 2011, ENERGY, V36, P6121, DOI 10.1016/j.energy.2011.07.053
   Yao WX, 2014, ENERG CONVERS MANAGE, V84, P597, DOI 10.1016/j.enconman.2014.04.017
   Yorukoglu M, 2006, ENERG CONVERS MANAGE, V47, P2441, DOI 10.1016/j.enconman.2005.11.002
   Yu J, 2013, ENERGY, V61, P673, DOI 10.1016/j.energy.2013.09.013
   Zang HX, 2012, ENERGY, V38, P236, DOI 10.1016/j.energy.2011.12.008
   Zou L, 2017, RENEW ENERG, V106, P343, DOI 10.1016/j.renene.2017.01.042
NR 72
TC 46
Z9 46
U1 0
U2 56
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0960-1481
J9 RENEW ENERG
JI Renew. Energy
PD MAY
PY 2019
VL 135
BP 984
EP 1003
DI 10.1016/j.renene.2018.12.065
PG 20
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA HM3HY
UT WOS:000459365600086
DA 2025-01-10
ER

PT J
AU de Perez, EC
   van Aalst, M
   Bischiniotis, K
   Mason, S
   Nissan, H
   Pappenberger, F
   Stephens, E
   Zsoter, E
   van den Hurk, B
AF de Perez, Erin Coughlan
   van Aalst, Maarten
   Bischiniotis, Konstantinos
   Mason, Simon
   Nissan, Hannah
   Pappenberger, Florian
   Stephens, Elisabeth
   Zsoter, Ervin
   van den Hurk, Bart
TI Global predictability of temperature extremes
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE heat; cold; extremes; climate risk management; forecast verification;
   climate; preparedness
ID HEAT WAVES; COLD SPELLS; HOSPITAL ADMISSIONS; EXCESS MORTALITY;
   POPULATION; IMPACT; MORBIDITY; HOMELESS; WEATHER; HEALTH
AB Extreme temperatures are one of the leading causes of death and disease in both developed and developing countries, and heat extremes are projected to rise in many regions. To reduce risk, heatwave plans and cold weather plans have been effectively implemented around the world. However, much of the world's population is not yet protected by such systems, including many data-scarce but also highly vulnerable regions. In this study, we assess at a global level where such systems have the potential to be effective at reducing risk from temperature extremes, characterizing (1) long-term average occurrence of heatwaves and coldwaves, (2) seasonality of these extremes, and (3) short-term predictability of these extreme events three to ten days in advance. Using both the NOAA and ECMWF weather forecast models, we develop global maps indicating a first approximation of the locations that are likely to benefit from the development of seasonal preparedness plans and/or short-term early warning systems for extreme temperature. The extratropics generally show both short-term skill as well as strong seasonality; in the tropics, most locations do also demonstrate one or both. In fact, almost 5 billion people live in regions that have seasonality and predictability of heatwaves and/or coldwaves. Climate adaptation investments in these regions can take advantage of seasonality and predictability to reduce risks to vulnerable populations.
C1 [de Perez, Erin Coughlan; van Aalst, Maarten] Red Cross Red Crescent Climate Ctr, The Hague, Netherlands.
   [de Perez, Erin Coughlan; Mason, Simon; Nissan, Hannah] Columbia Univ, Int Res Inst Climate & Soc, New York, NY 10027 USA.
   [de Perez, Erin Coughlan; van Aalst, Maarten; Bischiniotis, Konstantinos] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
   [van Aalst, Maarten] UCL, Dept Sci Technol Engn & Publ Policy, London, England.
   [Pappenberger, Florian; Zsoter, Ervin] European Ctr Medium Range Weather Forecasts, Reading, Berks, England.
   [Stephens, Elisabeth; van den Hurk, Bart] Univ Reading, Sch Archaeol Geog & Environm Sci, Reading, Berks, England.
   [van den Hurk, Bart] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands.
C3 Columbia University; Vrije Universiteit Amsterdam; University of London;
   University College London; European Centre for Medium-Range Weather
   Forecasts (ECMWF); University of Reading; Royal Netherlands
   Meteorological Institute
RP de Perez, EC (corresponding author), Red Cross Red Crescent Climate Ctr, The Hague, Netherlands.; de Perez, EC (corresponding author), Columbia Univ, Int Res Inst Climate & Soc, New York, NY 10027 USA.; de Perez, EC (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
EM coughlan.erin@gmail.com
RI Stephens, Elisabeth/B-6344-2013; van den Hurk, Bart/ABI-1654-2020;
   Mason, Simon/AAH-5699-2020; Pappenberger, Florian/A-2839-2009; van
   Aalst, Maarten/X-2017-2018
OI Nissan, Hannah/0000-0002-5340-6739; Stephens,
   Elisabeth/0000-0002-5439-7563; Pappenberger,
   Florian/0000-0003-1766-2898; van den Hurk, Bart/0000-0003-3726-7086;
   Zsoter, Ervin/0000-0002-7998-0130; van Aalst,
   Maarten/0000-0003-0319-5627; Coughlan de Perez, Erin/0000-0001-7645-5720
FU US National Oceanic and Atmospheric Administration (NOAA)
   [NA13OAR4310184]
FX The authors of this paper would like to extend their gratitude to the
   humanitarian practitioners who have piloted Forecast-based Financing
   around the world, and asked the questions that have led to this
   research. In particular, the German Federal Foreign Office has developed
   an action plan for humanitarian adaptation to climate change (Ruth
   2015), which has spurred investment in early action plans around the
   world. S Mason was funded by grant/cooperative agreement NA13OAR4310184
   from the US National Oceanic and Atmospheric Administration (NOAA). The
   views expressed herein are those of the authors and do not necessarily
   reflect the views of NOAA or any of its sub-agencies.
CR [Anonymous], 2015, HEAT WAVE SOCIAL AUT, DOI DOI 10.7208/CHICAGO/9780226026718.001.0001
   [Anonymous], FORECAST VERIFICATIO
   Åström DO, 2011, MATURITAS, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Bai L, 2014, SCI TOTAL ENVIRON, V490, P838, DOI 10.1016/j.scitotenv.2014.05.024
   Barnett AG, 2010, ENVIRON RES, V110, P604, DOI 10.1016/j.envres.2010.05.006
   Barnston AG, 2011, WEATHER FORECAST, V26, P545, DOI 10.1175/WAF-D-10-05009.1
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bittner MI, 2014, EUR J PUBLIC HEALTH, V24, P615, DOI 10.1093/eurpub/ckt121
   Checkley W, 2000, LANCET, V355, P442, DOI 10.1016/S0140-6736(00)82010-3
   CIESEN Center for International Earth Science Information Network (CIESIN)-Columbia University, 2016, CTR INT EARTH SCI IN
   Coughlan de Perez E, 2014, NAT HAZARD EARTH SYS, V2, P3193, DOI DOI 10.5194/NHESSD-2-3193-2014
   CRED EM-DAT and UNISDR, 2015, HUM COST WEATH REL D
   Daiski Isolde, 2005, Policy Polit Nurs Pract, V6, P30, DOI 10.1177/1527154404272610
   de Perez EC, 2015, NAT HAZARD EARTH SYS, V15, P895, DOI 10.5194/nhess-15-895-2015
   De US, 2005, J INDIAN GEOPHYS UNI, V9, P173
   Dixon PG, 2005, B AM METEOROL SOC, V86, P937, DOI 10.1175/BAMS-86-7-937
   Donat MG, 2014, J CLIMATE, V27, P5019, DOI 10.1175/JCLI-D-13-00405.1
   Ebi KL, 2004, B AM METEOROL SOC, V85, P1067, DOI 10.1175/BAMS-85-8-1067
   Egondi T, 2015, INT J ENV RES PUB HE, V12, P2735, DOI 10.3390/ijerph120302735
   Fazel S, 2014, LANCET, V384, P1529, DOI 10.1016/S0140-6736(14)61132-6
   Fischer EM, 2007, J CLIMATE, V20, P5081, DOI 10.1175/JCLI4288.1
   Forzieri Giovanni, 2017, Lancet Planet Health, V1, pe200, DOI 10.1016/S2542-5196(17)30082-7
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Gilleland E, 2010, B AM METEOROL SOC, V91, P1365, DOI 10.1175/2010BAMS2819.1
   Gosling SN, 2009, CLIMATIC CHANGE, V92, P299, DOI [10.1007/s10584-008-9441-x, 10.1007/S10584-008-9441-X]
   Haiden T, 2015, ECMWF TECHNICAL MEMO, V765, P1
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Hamill TM, 2013, B AM METEOROL SOC, V94, P1553, DOI 10.1175/BAMS-D-12-00014.1
   Hashizume M, 2009, INT J EPIDEMIOL, V38, P1689, DOI 10.1093/ije/dyn376
   Huang CR, 2011, ENVIRON HEALTH PERSP, V119, P1681, DOI 10.1289/ehp.1103456
   Huynen MMTE, 2001, ENVIRON HEALTH PERSP, V109, P463, DOI 10.2307/3454704
   Hwang SW, 2005, AM J PREV MED, V29, P311, DOI 10.1016/j.amepre.2005.06.017
   IFRC, 2009, IFRC WORLD DIS REP F
   Jusot JF, 2012, INFLUENZA OTHER RESP, V6, P87, DOI 10.1111/j.1750-2659.2011.00286.x
   Koster RD, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041677
   Li M, 2015, HEAT WAVES MORBIDITY, P5256
   Ma WJ, 2013, INT J BIOMETEOROL, V57, P179, DOI 10.1007/s00484-012-0545-7
   Mason SJ, 2002, Q J ROY METEOR SOC, V128, P2145, DOI 10.1256/003590002320603584
   Nissan H, 2017, J APPL METEOROL CLIM, V56, P2653, DOI 10.1175/JAMC-D-17-0035.1
   Pappenberger F, 2008, ATMOS SCI LETT, V9, P43, DOI 10.1002/asl.171
   Public Health England, 2015, HEATW PLAN ENGL
   Purich A, 2014, J CLIMATE, V27, P7807, DOI 10.1175/JCLI-D-14-00098.1
   Ratnam JV, 2016, SCI REP-UK, V6, DOI 10.1038/srep37657
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Republique Francaise, 2015, CLIM RISK EARL WARN
   Revich B, 2008, OCCUP ENVIRON MED, V65, P691, DOI 10.1136/oem.2007.033944
   Robin X, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-77
   Ruth A, 2015, FRAMEWORK ACTION PLA
   Ryti NRI, 2016, ENVIRON HEALTH PERSP, V124, P12, DOI 10.1289/ehp.1408104
   Skok G, 2016, Q J ROY METEOR SOC, V142, P2599, DOI 10.1002/qj.2849
   Tan JG, 2007, INT J BIOMETEOROL, V51, P193, DOI 10.1007/s00484-006-0058-3
   Toloo G, 2013, INT J PUBLIC HEALTH, V58, P667, DOI 10.1007/s00038-013-0465-2
   Wang Y, 2016, ENVIRON INT, V94, P141, DOI 10.1016/j.envint.2016.05.008
   Weisskopf MG, 2002, AM J PUBLIC HEALTH, V92, P830, DOI 10.2105/AJPH.92.5.830
   Wolf J, 2010, ENVIRON PLANN A, V42, P2721, DOI 10.1068/a42503
   2014, RES, V11, P2014, DOI DOI 10.3390/IJERPH110403473
NR 58
TC 43
Z9 45
U1 2
U2 45
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 2018
VL 13
IS 5
AR 054017
DI 10.1088/1748-9326/aab94a
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GE6EJ
UT WOS:000431317000001
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Becker, A
   Hippe, A
   Mclean, EL
AF Becker, Austin
   Hippe, Ariel
   Mclean, Elizabeth L.
TI Cost and Materials Required to Retrofit US Seaports in Response to Sea
   Level Rise: A Thought Exercise for Climate Response
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Article
DE seaports; resilience; climate adaptation; estimating; elevation
ID COASTAL; FREQUENCY
AB Climate changes projected for 2100 and beyond could result in a worldwide race for adaptation resources on a scale never seen before. This paper describes a model for estimating the cost and materials of elevating coastal seaport infrastructure in the United States to prevent damage from sea level rise associated with climate change. This study pilots the use of a generic port model (GenPort) as a basis from which to estimate regional materials and monetary demands, resulting in projections that would be infeasible to calculate on an individual port-by-port basis. We estimate the combined cost of adding two meters of additional fill material to elevate the working surface and then reconstructing the generic port. We use the resulting unit area cost to develop an estimate to elevate and retrofit 100 major United States commercial coastal ports. A total of $ 57 billion to $ 78 billion (2012 US dollars) and 704 million cubic meters of fill would be required to elevate the 100 ports by two meters and to reconstruct associated infrastructure. This estimation method and the results serve as a thought exercise to provoke considerations of the cumulative monetary and material demands of widespread adaptations of seaport infrastructure. The model can be adapted for use in multiple infrastructure sectors and coastal managers can use the outlined considerations as a basis for individual port adaptation strategy assessments.
C1 [Becker, Austin; Mclean, Elizabeth L.] Univ Rhode Isl, Dept Marine Affair, Kingston, RI 02881 USA.
   [Hippe, Ariel] DOWL, Anchorage, AK 99503 USA.
C3 University of Rhode Island
RP Becker, A (corresponding author), Univ Rhode Isl, Dept Marine Affair, Kingston, RI 02881 USA.
EM abecker@uri.edu; ahippe@dowl.com; elmclean@uri.edu
RI Mclean, Elizabeth/HNB-9042-2023
OI Becker, Austin/0000-0001-9224-7913
CR AAPA (American Association of Port Authorities), TALK POINTS US SEAP
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   [Anonymous], EXPLORING HIGH END C
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], WORLD BANK DISCUSSIO
   [Anonymous], 1990, Report of the IPCC coastal zone management subgroup: Intergovernmental Panel on Climate Change
   [Anonymous], GULFP MAST PLAN UPD
   Becker A., 2010, COMMUNICATION
   Becker A., 2015, HDB COASTAL DISASTER
   Becker A, 2016, GLOBAL ENVIRON CHANG, V40, P125, DOI 10.1016/j.gloenvcha.2016.07.008
   Becker A, 2012, CLIMATIC CHANGE, V110, P5, DOI 10.1007/s10584-011-0043-7
   Becker AH, 2013, CLIMATIC CHANGE, V120, P683, DOI 10.1007/s10584-013-0843-z
   Bender MA, 2010, SCIENCE, V327, P454, DOI 10.1126/science.1180568
   Blodget H., IT WILL ONLY COST 7
   Burkett V, 2012, NCA REGION INPUT REP, P1, DOI 10.5822/978-1-61091-460-4
   Chambers M, 2013, BUREAU TRANSPORTATIO
   Ghile Y. B., 2013, CLIM CHANG, V122, P97
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hanson S., 2012, Maritime transport and the climate change challenge, P243
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hoozemans FMJ., 1993, GLOBAL VULNERABILITY
   Jevrejeva S, 2016, P NATL ACAD SCI USA, V113, P13342, DOI 10.1073/pnas.1605312113
   Kirshen P, 2008, MITIG ADAPT STRAT GL, V13, P437, DOI 10.1007/s11027-007-9130-5
   Lonsdale KG, 2008, CLIMATIC CHANGE, V91, P145, DOI 10.1007/s10584-008-9483-0
   MSPG (Mississippi State Port at Gulfport), PORT COMM NIX 25 EL
   MSPG (Mississippi State Port at Gulfport), 2013, PORT GULFP REST PROJ
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   National Geospatial Intelligence Agency (NGIA), 2014, WORLD PORT IND
   Neumann J, 2011, WIRES CLIM CHANGE, V2, P89, DOI 10.1002/wcc.90
   Ng AKY, 2016, R STUD TRANSP ANAL, P1
   PEER, 2006, Report to the Mississippi State Legislature 487
   Rahmstorf S., 2010, Nat Reps Clim Change, V4, P44, DOI DOI 10.1029/2010GL042947
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Recovery Support Strategy, 2013, NEW YORK REC HURR SA
   RSMeans Corporation, 2012, RSMEANS BUILD CONSTR
   Savonis M.J., 2014, CURRENT SUSTAINABLE, P27, DOI DOI 10.1007/S40518-014-0004-7
   Shafer T. J., 2006, P INT C CONCR BLOCK, P757
   Shepard CC, 2012, NAT HAZARDS, V60, P727, DOI 10.1007/s11069-011-0046-8
   Stocker T F., 2013, Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P1552
   Sweet W. V., 2017, NOSCOOPS083 NOAA
   Tebaldi C, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014032
   Thoresen C.A., 2003, Port designer's handbook: recommendations and guidelines
   USACE (U. S. Army Corps of Engineers), AN DRED COSTS
   USACE (U. S. Army Corps of Engineers), 2012, FISC YEAR 2012 AN DR
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Weisse R, 2010, S-P B ENVIRON SCI, P1, DOI 10.1007/978-3-540-68491-6
NR 47
TC 17
Z9 18
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD SEP
PY 2017
VL 5
IS 3
AR 44
DI 10.3390/jmse5030044
PG 21
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA FU2PC
UT WOS:000423691200020
OA Green Submitted, gold, Green Published
DA 2025-01-10
ER

PT J
AU Badjeck, MC
   Allison, EH
   Halls, AS
   Dulvy, NK
AF Badjeck, Marie-Caroline
   Allison, Edward H.
   Halls, Ashley S.
   Dulvy, Nicholas K.
TI Impacts of climate variability and change on fishery-based livelihoods
SO MARINE POLICY
LA English
DT Article
DE Fisheries; Livelihoods; Climate change; Climate variability; Adaptation
ID FLOOD-CONTROL SCHEMES; EL-NINO; INCOME DIVERSIFICATION; RURAL
   LIVELIHOODS; CORAL-REEFS; VULNERABILITY; MARINE; ADAPTATION; MANAGEMENT;
   POLICY
AB There is increasing concern over the consequences of global warming for the food security and livelihoods of the world's 36 million fisherfolk and the nearly 1.5 billion consumers who rely oil fish for more than 20% of their dietary animal protein. With mounting evidence of the impacts of climate variability and change oil aquatic ecosystems, the resulting impacts oil fisheries livelihoods are likely to be significant, but remain a neglected area in climate adaptation policy. Drawing upon our research and the available literature, and using a livelihoods framework, this paper synthesizes the pathways through which climate variability and change impact fisherfolk livelihoods at the household and community level. We identify current and potential adaptation strategies and explore the wider implications for local livelihoods, fisheries management and climate policies. Responses to climate change can be anticipatory or reactive and should include: (1) management approaches and policies that build the livelihood asset base, reducing vulnerability to multiple stressors, including climate change; (2) an understanding of current response mechanisms to climate variability and other shocks in order to inform planned adaptation; (3) a recognition of the opportunities that climate change could bring to the sector; (4) adaptive strategies designed with a multi-sector perspective; and (5) a recognition of fisheries potential contribution to mitigation efforts. (C) 2009 Elsevier Ltd. All rights reserved.
C1 [Badjeck, Marie-Caroline; Allison, Edward H.] WorldFish Ctr Jalan Batu Maung, Bayan Lepas 11960, Penang, Malaysia.
   [Badjeck, Marie-Caroline] Univ E Anglia, Overseas Dev Grp, Norwich NR4 7TJ, Norfolk, England.
   [Badjeck, Marie-Caroline] Ctr Trop Marine Ecol ZMT, D-28359 Bremen, Germany.
   [Halls, Ashley S.] Aquae Sulis Ltd, Turleigh BA15 2LR, Wilts, England.
   [Dulvy, Nicholas K.] Ctr Environm Fisheries & Aquaculture Sci, Lowestoft, Suffolk, England.
   [Dulvy, Nicholas K.] Simon Fraser Univ, Dept Biol Sci, Burnaby, BC V5A 1S5, Canada.
C3 CGIAR; Worldfish; University of East Anglia; Leibniz Association;
   Leibniz Zentrum fur Marine Tropenforschung (ZMT); Centre for Environment
   Fisheries & Aquaculture Science; Simon Fraser University
RP Badjeck, MC (corresponding author), WorldFish Ctr Jalan Batu Maung, Bayan Lepas 11960, Penang, Malaysia.
EM m.badjeck@cgiar.org; e.allison@cgiar.org; a.halls@aquae-sulis-ltd.co.uk;
   dulvy@sfu.ca
RI Allison, Edward/JAC-5655-2023; Dulvy, Nicholas/I-2895-2012
OI Allison, Edward/0000-0003-4663-1396; Dulvy, Nicholas/0000-0002-4295-9725
FU NERC [NE/F001517/1] Funding Source: UKRI
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Aiken K.A., 1992, Proc. Gulf Caribb. Fish. Inst., V42, P261
   Allison E.H., 2005, EFFECTS CLIMATE CHAN
   Allison E.H., 2007, Journal of Semi-Arid Tropical Agricultural Research, V4
   Allison EH, 2006, MAR POLICY, V30, P757, DOI 10.1016/j.marpol.2006.02.001
   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
   Allison EH., 2001, Proceedings of the Lake Malawi Fisheries Management Symposium, Lilongwe, 4-9 June 2001, P66
   Alvarez-Filip L, 2009, P ROY SOC B-BIOL SCI, V276, P3019, DOI 10.1098/rspb.2009.0339
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   [Anonymous], P WORKSH ASS CONS CL
   [Anonymous], FISHERIES UNCERTAINT
   [Anonymous], SCI UNCERTAINTY ENV
   [Anonymous], 1992, Institute of Development Studies Discussion Paper No. 296.
   [Anonymous], FAO IFAD ILO WORKSH
   [Anonymous], EC DEV IMPACTS NATUR
   [Anonymous], 2009, STAT WORLD FISH AQ 2
   [Anonymous], MITIGATION ADAPTATIO
   [Anonymous], 1999, Development as Freedom
   [Anonymous], 2001, 410 FAO
   Arcos D., 2004, NINO LA NINA 1997 20
   Arntz W., 2006, Adv Geosci, V6, P243, DOI [DOI 10.5194/ADGE0-6-243-2006, DOI 10.5194/ADGEO-6-243-2006]
   Badjeck M., 2008, Vulnerability of coastal fishing communities to climate variability and change: implications for fisheries livelihoods and management in Peru
   Badjeck MC, 2009, CLIMATIC CHANGE, V94, P211, DOI 10.1007/s10584-009-9545-y
   BADJECK MC, 2009, LIVELIHOOD DIVERSIFI
   BADJECK MC, 2008, FAO EXP M CLIM CHANG
   Balgis O. E., 2005, SUSTAINABLE LIVELIHO
   Barange M., 2009, CLIMATE CHANGE IMPLI, P7
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Berkes F, 2002, CONSERV ECOL, V5
   Bhavani Shankar Bhavani Shankar, 2005, International Journal of Water, V3, P61, DOI 10.1504/IJW.2005.007159
   Birkmann J, 2008, DISASTERS, V32, P82, DOI 10.1111/j.1467-7717.2007.01028.x
   Brander K., 2010, Journal of Marine Systems, o, V79, P389, DOI DOI 10.1016/J.JMARSYS.2008.12.015
   Brashares JS, 2004, SCIENCE, V306, P1180, DOI 10.1126/science.1102425
   Bridges KW, 2009, GLOBAL ENVIRON CHANG, V19, P140, DOI 10.1016/j.gloenvcha.2009.01.009
   Broad K, 2002, CLIMATIC CHANGE, V54, P415, DOI 10.1023/A:1016164706290
   Broad K., 1999, CLIMATE INFORM CONFL
   Brugere C., 2008, Working paper
   Burke Loretta., 2004, Reefs at Risk in the Caribbean Data CD
   CAF, 2000, LECC NIN MEM FEN NIN, VV
   CALLAWAY D, 1998, P WORKSH ASS CONSQ C
   CARBAJAL W, INFLUENCIA NINO 97 9, P111
   CATTO NR, 2004, CAN ASS GEOGR ANN M
   Cheung WWL, 2008, MAR ECOL PROG SER, V365, P187, DOI 10.3354/meps07414
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Conway D, 2005, PHILOS T ROY SOC A, V363, P49, DOI 10.1098/rsta.2004.1475
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Cushing D.H., 1982, CLIMATE FISHERIES
   Daw T., 2009, Climate change implications for fisheries and aquaculture: Overview of current scientific knowledge, V530, P95
   De Silva DAM, 2007, DISASTERS, V31, P386, DOI 10.1111/j.1467-7717.2007.01015.x
   Dorner B, 2008, CAN J FISH AQUAT SCI, V65, P1842, DOI 10.1139/F08-094
   Drinkwater KF, 2010, J MARINE SYST, V79, P374, DOI 10.1016/j.jmarsys.2008.12.014
   DULVY N, 2009, NATURE REPORTS CLIMA, P68, DOI DOI 10.1038/CLIMATE.2009.52
   Dulvy NK, 2008, J APPL ECOL, V45, P1029, DOI 10.1111/j.1365-2664.2008.01488.x
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   ELASHA BO, 2005, RESILIENT VULNERABLE
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Ellison AM, 2008, J SEA RES, V59, P2, DOI 10.1016/j.seares.2007.05.003
   Feely RA, 2004, SCIENCE, V305, P362, DOI 10.1126/science.1097329
   FERNAND L, 2007, WORKSH SIGN CHANG OC
   Flaaten O, 1998, FISH RES, V37, P1, DOI 10.1016/S0165-7836(98)00122-2
   Gillet V., 2003, CASE STUDY VULNERABI, P33
   Glantz M.H., 1992, P417, DOI 10.1017/CBO9780511565625.017
   Glantz M.H., 1992, CLIMATE VARIABILITY
   Glantz M.H., 1981, RESOURCE MANAGEMENT
   GLANTZ MH, 1981, CONSIDERATIONS SOC V, P449
   Gutiérrez M, 2007, FISH OCEANOGR, V16, P155, DOI 10.1111/j.1365-2419.2006.00422.x
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hales S, 1999, ECOSYST HEALTH, V5, P20, DOI 10.1046/j.1526-0992.1999.09903.x
   Halls AS, 2008, HYDROBIOLOGIA, V609, P45, DOI 10.1007/s10750-008-9402-4
   Halls AS, 1998, J FISH BIOL, V53, P358, DOI 10.1111/j.1095-8649.1998.tb01037.x
   Hannesson R, 2005, REV FISH BIOL FISHER, V15, P231, DOI 10.1007/s11160-005-4870-3
   HERBERT GJ, 1995, MAR POLICY, V19, P301, DOI 10.1016/0308-597X(95)00021-W
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   *IDS, LIV CONN
   Iwasaki S, 2009, MITIG ADAPT STRAT GL, V14, P339, DOI 10.1007/s11027-009-9167-8
   Jallow BP, 1999, CLIMATE RES, V12, P129, DOI 10.3354/cr012129
   KENNEDY VS, 1990, FISHERIES, V15, P16, DOI 10.1577/1548-8446(1990)015<0016:AEOCCO>2.0.CO;2
   Kesavan PC, 2006, PHILOS T R SOC A, V364, P2191, DOI 10.1098/rsta.2006.1822
   KNAPP G, 2000, 10 INT C I FISH EC T
   KONG AL, 2002, GLOBAL ENV CHANGE FO
   Kovats RS, 2003, LANCET, V362, P1481, DOI 10.1016/S0140-6736(03)14695-8
   Lebel L, 2005, ECOL SOC, V10
   Lenton R., 2002, Natural Resources Forum, V26, P185, DOI 10.1111/0165-0203.00020
   Mackenzie BR, 2007, GLOBAL CHANGE BIOL, V13, P1335, DOI 10.1111/j.1365-2486.2007.01360.x
   Mahon R., 1997, Country Case Study on Climate Change Impacts and Adaptation Assessments in Antigua and Barbuda (GF/2200-96-43): Fisheries sector assessment
   Mahon R., 2002, Adaptation of fisheries and fishing communities to the impacts of climate change in the CARICOM region
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   McClanahan TR, 2008, CONSERV LETT, V1, P53, DOI 10.1111/j.1755-263X.2008.00008_1.x
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   McWilliams JP, 2005, ECOLOGY, V86, P2055, DOI 10.1890/04-1657
   Meltzoff SK, 2005, CULT AGRIC FOOD ENVI, V27, P1, DOI 10.1525/cag.2005.27.1.1
   Miller K.A., 1992, P49, DOI 10.1017/CBO9780511565625.004
   Miller KA, 2002, HANDBOOK OF WEATHER, CLIMATE, AND WATER: ATMOSPHERIC CHEMISTRY, HYDROLOGY, AND SOCIETAL IMPACTS, P851
   Miller KA, 2000, CLIMATIC CHANGE, V45, P37, DOI 10.1023/A:1005684815698
   Miller KA, 2007, MAR POLICY, V31, P56, DOI 10.1016/j.marpol.2006.05.006
   Morris SS, 2002, WORLD DEV, V30, P49, DOI 10.1016/S0305-750X(01)00091-2
   Munday PL, 2008, FISH FISH, V9, P261, DOI 10.1111/j.1467-2979.2008.00281.x
   Munoz A.A., 1988, Medio Ambiente, V9, P35
   NAGY GJ, 2006, ADAPTIVE CAPACITY RE
   NIIYA YM, 1998, FENOMENO NINO 1997 9, P247
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   O'Reilly CM, 2003, NATURE, V424, P766, DOI 10.1038/nature01833
   OgutuOhwayo R, 1997, ENVIRON BIOL FISH, V50, P117, DOI 10.1023/A:1007320932349
   Olago D, 2007, AMBIO, V36, P350, DOI 10.1579/0044-7447(2007)36[350:CSAHFA]2.0.CO;2
   Ordinola N., 2002, NI A ITS IMPACTS, P146
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   PALOMINO FM, 1985, PESCA, V46, P12
   Patz JA, 2002, BMJ-BRIT MED J, V325, P1094, DOI 10.1136/bmj.325.7372.1094
   Patz JA, 2000, ECOSYST HEALTH, V6, P52, DOI 10.1046/j.1526-0992.2000.00006.x
   Pauly D, 1998, SCIENCE, V279, P860, DOI 10.1126/science.279.5352.860
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Perry RI, 2007, MAR POLICY, V31, P125, DOI 10.1016/j.marpol.2006.05.011
   Perry RI, 2009, GLOBAL CHANGE MARINE
   PERRY RI, 2009, GLOBAL CHAN IN PRESS
   Pratchett MS, 2008, OCEANOGR MAR BIOL, V46, P251, DOI 10.1201/9781420065756.ch6
   Roessig JM, 2004, REV FISH BIOL FISHER, V14, P251, DOI 10.1007/s11160-004-6749-0
   Rothschild BJ, 2005, ICES J MAR SCI, V62, P1531, DOI 10.1016/j.icesjms.2005.06.011
   Sarch M-T, 2000, P 10 INT C I FISH EC
   Secretan P., 2007, GUIDELINES MEET INSU
   *SEI IUCN IISD INT, 2003, LIV CLIM CHANG COMB
   Sen A.K., 1981, POVERTY FAMINES
   Siung-Chang AM, 2001, B MAR SCI, V68, P343
   Skees JR, 2007, AM J AGR ECON, V89, P1255, DOI 10.1111/j.1467-8276.2007.01093.x
   Sun CH, 2006, ECOL ECON, V56, P268, DOI 10.1016/j.ecolecon.2005.02.001
   Tietze U., 2003, Microfinance in fisheries and aquaculture.Guidelines and case studies
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Troadec JP, 2000, ENVIRON MONIT ASSESS, V61, P101, DOI 10.1023/A:1006322303247
   Trotman A, 2009, ENVIRON SCI POLICY, V12, P529, DOI 10.1016/j.envsci.2009.02.001
   Turner RA, 2007, CORAL REEFS, V26, P997, DOI 10.1007/s00338-007-0238-6
   Tyedmers PH, 2005, AMBIO, V34, P635, DOI 10.1639/0044-7447(2005)034[0635:FGFF]2.0.CO;2
   Van Anrooy R., 2006, REV CURRENT STATE WO
   Vasquez-Leon M., 2002, INVEST MAR, V30, P204, DOI DOI 10.4067/S0717-71782002030100089
   Vollmer MK, 2005, LIMNOL OCEANOGR, V50, P727, DOI 10.4319/lo.2005.50.2.0727
   Westlund L., 2007, Disaster response and risk management in fisheries sector
   WOOSTER W, 2002, NINA ITS IMPACTS FAC, P116
   *WORLD BANK, 2000, AD CLIM CHANG CIT SE, V4
   *WORLDFISH CTR, 2008, SMALL SCAL CAPT FISH
   Wouterse F, 2008, WORLD DEV, V36, P625, DOI 10.1016/j.worlddev.2007.03.009
   Yáñez E, 2001, PROG OCEANOGR, V49, P581, DOI 10.1016/S0079-6611(01)00042-8
   Ziervogel G, 2003, AREA, V35, P403, DOI 10.1111/j.0004-0894.2003.00190.x
NR 142
TC 328
Z9 370
U1 4
U2 176
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD MAY
PY 2010
VL 34
IS 3
BP 375
EP 383
DI 10.1016/j.marpol.2009.08.007
PG 9
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA 572OQ
UT WOS:000275842800004
DA 2025-01-10
ER

PT J
AU Viherä-Aarnio, A
   Häkkinen, R
   Partanen, J
   Luomajoki, A
   Koski, V
AF Viherä-Aarnio, A
   Häkkinen, R
   Partanen, J
   Luomajoki, A
   Koski, V
TI Effects of seed origin and sowing time on timing of height growth
   cessation of <i>Betula pendula</i> seedlings
SO TREE PHYSIOLOGY
LA English
DT Article
DE annual rhythm; climatic adaptation; critical night length; growth
   period; photoperiod; silver birch; stage of development
ID WOODY-PLANTS; BUD DORMANCY; PICEA-ABIES; ECOTYPES; PHOTOPERIODISM;
   PUBESCENS
AB We studied the effects of seed origin and sowing time on height development and timing of height growth cessation of first-year silver birch (Betula pendula Roth) seedlings in a greenhouse experiment. Seeds of seven origins ranging in latitudes from 58degrees to 67degrees N were sown at 1-2-week intervals eight times from May 21 to July 30, 2001. The day/night temperature in the greenhouse was set at 20/10 degreesC, but lighting was natural and day length varied accordingly. Seedling height was measured twice a week. The interaction term between seed origin and sowing date was significant, but the pattern of height development and timing of growth cessation depended systematically on latitude of seed origin and sowing date. As seed origin became increasingly northern, growth cessation began earlier and resulted in shorter growth periods. Later sowing dates delayed growth cessation but also shortened the growth period. Final seedling height systematically decreased with increasingly northern origins and with later sowings. Linear regression analysis predicted timing of growth cessation, night length at growth cessation, length of growth period and final seedling height with high precision when the latitude of seed origin and sowing time were predictor variables. The timing of height growth cessation was determined by the seed origin, night length and developmental stage of the seedlings.
C1 Finnish Forest Res Inst, Vantaa Res Ctr, FIN-01301 Vantaa, Finland.
   Finnish Forest Res Inst, FIN-00170 Helsinki, Finland.
   Finnish Forest Res Inst, Punkaharju Res Stn, FIN-58450 Punkaharju, Finland.
C3 Natural Resources Institute Finland (Luke); Natural Resources Institute
   Finland (Luke); Natural Resources Institute Finland (Luke)
RP Viherä-Aarnio, A (corresponding author), Finnish Forest Res Inst, Vantaa Res Ctr, POB 18, FIN-01301 Vantaa, Finland.
EM anneli.vihera-aarnio@metla.fi
RI Partanen, Jouni/K-4291-2013
CR [Anonymous], SVENSK PAPPERSTIDN
   [Anonymous], SVENSK PAPPERSTIDN
   CLAUSEN KE, 1968, P 8 LAK STAT FOR TRE, P1
   DORMLING I, 1968, Silvae Genetica, V17, P44
   EAGLES CF, 1963, NATURE, V199, P874, DOI 10.1038/199874a0
   EAGLES CF, 1964, PHYSIOL PLANTARUM, V17, P697, DOI 10.1111/j.1399-3054.1964.tb08196.x
   Ekberg I., 1979, Ecography, V2, P255, DOI [DOI 10.1111/J.1600-0587.1979.TB01297.X, 10.1111/j.1600-0587.1979.tb01297.x]
   Eriksson G, 2003, SCAND J FOREST RES, V18, P320, DOI 10.1080/02827580310015422
   Eriksson G, 2001, INTRO FOREST GENETIC
   Fuchigami L.H., 1982, PLANT COLD HARDINESS, V2, P93
   Garner WW, 1923, J AGRIC RES, V23, P0871
   HABJORG A, 1978, MELD NORG LANDBRUKS, V57, P2
   HABJORG A, 1972, EHRH MELD NOR LANDBR, V51, P1
   HANNINEN H, 1990, TREE PHYSIOL, V6, P29, DOI 10.1093/treephys/6.1.29
   HARI P, 1972, Annales Botanici Fennici, V9, P107
   Hari P., 1970, Ann. hot. fenn., V7, P375
   HEIDE OM, 1974, PHYSIOL PLANTARUM, V30, P1, DOI 10.1111/j.1399-3054.1974.tb04983.x
   HJELMROOS M, 1991, GRANA, V30, P215, DOI 10.1080/00173139109427802
   Howe GT, 1996, PHYSIOL PLANTARUM, V97, P95, DOI 10.1111/j.1399-3054.1996.tb00484.x
   JUNTTILA O, 1993, NATO ADV SCI INST SE, V244, P43
   JUNTTILA O, 1976, PHYSIOL PLANTARUM, V38, P278, DOI 10.1111/j.1399-3054.1976.tb04004.x
   Kennedy D., 1984, Arboricultural Journal, V8, P245
   Koski V., 1985, Crop physiology of forest trees. Proceedings of an international conference on managing forest trees as cultivated plants, held in Finland, 23-28 July 1984, P167
   Koski V., 1982, Comm. Inst. For. Fenn, V105, P1
   Landis T.D., 1999, CONTAINER TREE NURSE, V6
   Langlet O., 1959, Silvae Genetica, V8, P13
   Li CY, 2002, PHYSIOL PLANTARUM, V116, P478, DOI 10.1034/j.1399-3054.2002.1160406.x
   LUOMAJOKI A, 1999, ACTA FOR FENN
   Luoranen J., 1997, Tree Planters' Notes, V48, P65
   LUORANEN J, 2000, THESIS FINNISH FORES
   LUROANEN J, 2001, METSANTUTKIMUSLAITOK, V813, P76
   NITSCH J. P., 1957, PROC AMER SOC HORT SCI, V70, P526
   Partanen J, 2004, FOREST ECOL MANAG, V188, P137, DOI 10.1016/j.foreco.2003.07.017
   Pauley S. S., 1954, Journal of the Arnold Arboretum, V35, P167
   Rinne P, 1997, PLANT CELL ENVIRON, V20, P1199, DOI 10.1046/j.1365-3040.1997.d01-148.x
   SHARIK TL, 1976, CAN J BOT, V54, P2122, DOI 10.1139/b76-228
   Sylven N., 1940, Svensk Papperstidning, V43, P317
   Thomas B., 1996, PHOTOPERIODISM PLANT, V2nd ed., P118
   VAARTAJA O, 1954, CAN J BOT, V32, P392, DOI 10.1139/b54-036
   VAARTAJA O, 1959, ECOL MONOGR, V29, P91, DOI 10.2307/1942199
   VELLING P, 1979, FOLIA FOR, V376, P1
   WAREING PF, 1954, PHYSIOL PLANTARUM, V7, P261, DOI 10.1111/j.1399-3054.1954.tb07575.x
   WAREING PF, 1956, ANNU REV PLANT PHYS, V7, P191, DOI 10.1146/annurev.pp.07.060156.001203
   WEISER CJ, 1970, SCIENCE, V169, P1269, DOI 10.1126/science.169.3952.1269
NR 44
TC 39
Z9 41
U1 0
U2 18
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0829-318X
J9 TREE PHYSIOL
JI Tree Physiol.
PD JAN
PY 2005
VL 25
IS 1
BP 101
EP 108
DI 10.1093/treephys/25.1.101
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 887WC
UT WOS:000226335200012
PM 15519991
OA Bronze
DA 2025-01-10
ER

PT J
AU John, A
   Riat, AK
   Bhat, KA
   Ganie, SA
   Endarto, O
   Nugroho, C
   Handoko, H
   Wani, AK
AF John, Arjumand
   Riat, Amaninder Kaur
   Bhat, Kaisar Ahmad
   Ganie, Sajad A.
   Endarto, Otto
   Nugroho, Cipto
   Handoko, Handoko
   Wani, Atif Khurshid
TI Adapting to climate extremes: Implications for insect populations and
   sustainable solutions
SO JOURNAL FOR NATURE CONSERVATION
LA English
DT Article
DE Extreme climate; Insects; Mitigation; Population Dynamics; Temperature;
   Agriculture; Food security
ID RESPONSES; TEMPERATURE; MANAGEMENT; DIVERSITY; PATHOGENS; ANIMALS;
   FORESTS; PESTS; MOTH
AB Climate change emerges as the most dynamic and pervasive environmental challenge of the contemporary era. Its consequences, including the greenhouse effect resulting in elevated temperatures, increasingly frequent droughts, and unpredictable rainfall patterns, are already evident. The effects of climate change and extreme weather phenomena encompass insects, plants, and various taxonomic categories. Heightened temperatures, increased CO2 levels, and sudden shifts in rainfall patterns hold the potential to significantly alter the biochemical processes within insects and thus alter their survival pattern. These dynamic alterations in climate have a notable effect on multiple aspects of insect life, including fertility, feeding patterns, survival rates, population dynamics, and patterns of dispersal. As a result, their abundance, distribution, and life cycles undergo modifications in response to these evolving environmental conditions. This review explores the varied impacts of extreme climate changes on insect populations, explaining the complex relationships between climatic variables and insect ecology. Such changes can have cascading effects on ecosystems leading to disruptions in pollination with indirect implications on food security. Recognizing the urgency of addressing these challenges, this review also delves into sustainable approaches to reduce the risks posed by extreme climate changes on insect populations. Thus, Integrated pest management strategies, Organic farming, conservation of natural habitats, and the promotion of resilient agricultural practices emerge as key components of a comprehensive framework. This review advocates for a complete and adaptive approach to reduce the effect of extreme climate changes on insect populations, ensuring the long-term ecological balance and the resilience of ecosystems in the face of a varying climate.
C1 [John, Arjumand; Riat, Amaninder Kaur; Wani, Atif Khurshid] Lovely Profess Univ, Sch Bioengn & Biosci, Jalandhar 144411, Punjab, India.
   [Bhat, Kaisar Ahmad] Baba Ghulam Shah Badshah Univ, Sch Biosci & Biotechnol, Dept Biotechnol, Rajouri 185234, India.
   [Ganie, Sajad A.] Sher Ekashmir Univ Agr Sci & Technol, Div Entomol, Srinagar 190025, India.
   [Endarto, Otto; Handoko, Handoko] Natl Res & Innovat Agcy, Res Ctr Hort, Bogor 16911, Indonesia.
   [Nugroho, Cipto] Natl Res & Innovat Agcy, Res Ctr Food Crops, Bogor 16911, Indonesia.
C3 Lovely Professional University
RP Wani, AK (corresponding author), Lovely Profess Univ, Sch Bioengn & Biosci, Jalandhar 144411, Punjab, India.
EM atifkhurshid61200216@gmail.com
RI Wani, Atif/GVU-4207-2022; NUGROHO, CIPTO/JQV-8232-2023
OI Endarto, Otto/0000-0001-9927-6143
CR Abbasi A., 2024, Climate Change and Insect Biodiversity, P160
   Abram PK, 2017, BIOL REV, V92, P1859, DOI 10.1111/brv.12312
   Agrimonti C, 2021, CRIT REV FOOD SCI, V61, P971, DOI 10.1080/10408398.2020.1749555
   Ali H, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00466
   Ali H, 2018, MOL PHYLOGENET EVOL, V127, P1000, DOI 10.1016/j.ympev.2018.07.003
   Ali M., 2024, Climate Change and Insect Biodiversity, P208
   Ali M.A., 2023, International Journal of Chemical and Biochemical Sciences, V24, P386
   Ali S., 2022, Advances in Integrated Pest Management Technology: Innovative and Applied Aspects, P21
   Alimonti G, 2022, EUR PHYS J PLUS, V137, DOI 10.1140/epjp/s13360-021-02243-9
   Andrew N.R., 2017, ENV PEST MANAGEMENT, V197, P195
   [Anonymous], 2007, REPORT INTERGOVERNME, P104
   Ardoin NM, 2020, BIOL CONSERV, V241, DOI 10.1016/j.biocon.2019.108224
   Ashrafuzzaman M., 2024, The Role of Tropics in Climate Change, P33
   Baldock K. C., 2024, Routledge Handbook of Urban Biodiversity, P219
   Bale JS, 2010, J EXP BIOL, V213, P980, DOI 10.1242/jeb.037911
   Bali G. P. K., 2021, IntechOpen: In Global Decline of Insects
   Barzman M, 2015, AGRON SUSTAIN DEV, V35, P1199, DOI 10.1007/s13593-015-0327-9
   Benoit JB, 2023, ANNU REV ENTOMOL, V68, P129, DOI 10.1146/annurev-ento-120120-091609
   Birkhofer K, 2024, AGR ECOSYST ENVIRON, V363, DOI 10.1016/j.agee.2023.108860
   Boix D., 2024, Class Hexapoda: General introduction, P225
   Bommarco R, 2021, BIOL CONSERV, V263, DOI 10.1016/j.biocon.2021.109363
   Bonar M., 2024, The Ecology and Evolution of Animal Migration-An Integrative Approach to the Drivers of Phenotypic Variation
   Bottrell DG, 2018, J AGR SCI-CAMBRIDGE, V156, P408, DOI 10.1017/S0021859618000473
   Brittain C, 2010, BIOL CONSERV, V143, P1860, DOI 10.1016/j.biocon.2010.04.029
   Brosi BJ, 2017, NAT ECOL EVOL, V1, P1250, DOI 10.1038/s41559-017-0246-z
   Cannizzo Z. J., 2024, Climate Change-Protected Areas as a Tool to Address a Global Crisis
   Chen SH, 2023, ECOL EVOL, V13, DOI 10.1002/ece3.10259
   Choi F, 2019, CONSERV PHYSIOL, V7, DOI 10.1093/conphys/coz028
   Ciccarelli M, 2024, ENERG ECON, V129, DOI 10.1016/j.eneco.2023.107163
   Coll M., 2017, ENV PEST MANAGEMENT
   DAR S.A., 2021, Causes and Reasons of Insect Decline and the Way Forward
   de Rivera C. E., 2024, Ecophysiology of the European Green Crab (Carcinus Maenas) and Related Species, P261
   Deguine JP, 2021, AGRON SUSTAIN DEV, V41, DOI 10.1007/s13593-021-00689-w
   Dell IH, 2019, ENVIRON ENTOMOL, V48, P998, DOI 10.1093/ee/nvz067
   Dennis EB, 2019, J INSECT CONSERV, V23, P369, DOI 10.1007/s10841-019-00135-z
   Duffus NE, 2023, NEOTROP ENTOMOL, V52, P407, DOI 10.1007/s13744-023-01031-7
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Echegaray ER, 2012, J ECON ENTOMOL, V105, P2097, DOI 10.1603/EC12244
   Eilers EJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021363
   Fagan LL, 2010, B ENTOMOL RES, V100, P217, DOI 10.1017/S0007485309990174
   Farrell C, 2022, URBAN FOR URBAN GREE, V76, DOI 10.1016/j.ufug.2022.127732
   Filazzola A, 2021, SCI TOTAL ENVIRON, V769, DOI 10.1016/j.scitotenv.2021.145161
   Flint M. L., 2012, IPM in Practice, V2nd
   Fyllas NM, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11121616
   Gabriel D, 2007, AGR ECOSYST ENVIRON, V118, P43, DOI 10.1016/j.agee.2006.04.005
   Gamage A, 2023, FARMING SYST, V1, DOI 10.1016/j.farsys.2023.100005
   González-Tokman D, 2020, BIOL REV, V95, P802, DOI 10.1111/brv.12588
   Grabovska T, 2020, UKR J ECOL, V10, P96, DOI 10.15421/2020_174
   Greenop A, 2020, INSECTS, V11, DOI 10.3390/insects11030191
   Gregory PJ, 2009, J EXP BOT, V60, P2827, DOI 10.1093/jxb/erp080
   Haarstrick A, 2024, Managing urban rivers, P131
   Hallmann CA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185809
   Halsch CA, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2002543117
   Haq I.U., 2024, Climate Change and Insect Biodiversity, P179, DOI DOI 10.1201/9781003382089-11
   Harvey JA, 2023, ECOL MONOGR, V93, DOI 10.1002/ecm.1553
   Hassan T, 2024, ENVIRON MONIT ASSESS, V196, DOI 10.1007/s10661-023-12190-w
   Hill GM, 2021, BIOL REV, V96, P2113, DOI 10.1111/brv.12746
   Hoffmann S, 2022, BIODIVERS CONSERV, V31, P325, DOI 10.1007/s10531-021-02340-2
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jacquet F, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-021-00742-8
   Jandrotia R., 2024, Ecophysiology of Tropical Plants, P146
   Jankielsohn A., 2018, Advances in Entomology, V06, P62, DOI DOI 10.4236/AE.2018.62006
   Jaworski CC, 2022, J ECOL, V110, P2628, DOI 10.1111/1365-2745.13974
   Jentsch A, 2008, CR GEOSCI, V340, P621, DOI 10.1016/j.crte.2008.07.002
   Kaczan DJ, 2020, CLIMATIC CHANGE, V158, P281, DOI 10.1007/s10584-019-02560-0
   Kardos M, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2104642118
   Keteoglou M., 2023, Possible effects of Plexiglass (PMMA) and Polystyrene (PS) microplastics on pollinator health and cognition
   Khelifa R, 2021, INSECTS, V12, DOI 10.3390/insects12090776
   Khulbe A., 2024, Protected Cultivation: Structural Design, Crop Management Modeling, and Automation, P217
   Kleckova I, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150393
   Kocmankova Eva, 2009, Plant Protection Science, V45, pS48
   Kumar B., 2018, Insect pest management
   Lackey ACR, 2023, ECOL LETT, DOI 10.1111/ele.14268
   LaDochy S., 2023, Fire and Rain: California's Changing Weather and Climate, P67
   Lamarre GPA, 2020, ADV ECOL RES, V62, P295, DOI 10.1016/bs.aecr.2020.01.004
   Lambrinos J., 2024, A Natural History of the. Anthropocene.
   Le Lann C, 2014, ECOL ENTOMOL, V39, P578, DOI 10.1111/een.12135
   Lehmann P, 2020, FRONT ECOL ENVIRON, V18, P141, DOI 10.1002/fee.2160
   Liu XY, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adj1164
   Lu JJ, 2024, J STORED PROD RES, V105, DOI 10.1016/j.jspr.2023.102213
   Ma LJ, 2024, MOL BIOL EVOL, V41, DOI 10.1093/molbev/msae044
   Mai A. N. T., 2024, Migration Letters, V21, P646
   Malanson G. P., 2023, BIOL ENV HAZARDS RIS, P449
   Malhi Y, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0104
   Mandal M., 2003, 12 WORLD FOR C
   Matteoli F., 2020, Handbook of Climate Change Management, P1, DOI [10.1007/978-3-030-22759-3148-1, DOI 10.1007/978-3-030-22759-3148-1]
   Mayfield AE., 2021, Invasive Species in Forests and Rangelands of the United States: A Comprehensive Science Synthesis for the United States Forest Sector, P5, DOI 10.1007/978-3-030-45367-1_2
   Maznikova VN, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111366
   McCauley SJ, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2151
   McDowell G, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/033001
   Mikucki E E., 2020, From Molecules to Whole Organisms: Insect Responses to Climate Change
   Moulin-Rouyard C, 2024, SOIL SYST, V8, DOI 10.3390/soilsystems8010026
   Nawaz A, 2019, INNOVATIONS IN SUSTAINABLE AGRICULTURE, P287, DOI 10.1007/978-3-030-23169-9_10
   Netherer S, 2010, FOREST ECOL MANAG, V259, P831, DOI 10.1016/j.foreco.2009.07.034
   Newsom A, 2023, BIOL CONSERV, V286, DOI 10.1016/j.biocon.2023.110255
   Novella-Fernandez R, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-44106-0
   Ntawuruhunga D, 2023, FOREST POLICY ECON, V150, DOI 10.1016/j.forpol.2023.102937
   O'Sullivan JDB, 2017, J THERM BIOL, V68, P177, DOI 10.1016/j.jtherbio.2016.04.001
   Oberc B., 2020, Pathways, P486
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Pathak H., 2012, CLIMATE CHANGE IMPAC, P302
   Peterson Robert K. D., 2018, American Entomologist, V64, P146, DOI 10.1093/ae/tmy049
   Pollard S., 2024, The little book of spiders
   PRADE P., 2023, Tree Diseases and Pests, V3, P195, DOI DOI 10.1016/B978-0-443-18694-3.00014-6
   Prakash A., 2014, Climate change: impact on crop pests
   Qi GJ, 2021, INSECTS, V12, DOI 10.3390/insects12121104
   Ragunathan V., 2020, Molecular biology of the biological control of pests and diseases of plants, P173
   Reddy P. P., 2018, EMERGING CROP PEST P
   Reynolds HL, 2020, CLIMATIC CHANGE, V163, P1967, DOI 10.1007/s10584-019-02617-0
   Rhodes JR, 2022, ONE EARTH, V5, P622, DOI 10.1016/j.oneear.2022.05.010
   Riaz A., 2024, Climate Change and Insect Biodiversity, P196
   Ross SRPJ, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17067
   Sales K, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.201717
   Salgotra RK, 2023, GENES-BASEL, V14, DOI 10.3390/genes14010174
   Samways MJ, 2020, BIOL CONSERV, V242, DOI 10.1016/j.biocon.2020.108427
   Santorufo L, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01782-2
   Satterfield DA, 2020, FRONT ECOL ENVIRON, V18, P335, DOI 10.1002/fee.2217
   Saunders ME, 2018, INSECT CONSERV DIVER, V11, P13, DOI 10.1111/icad.12243
   Selwal N, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100702
   Seo SN, 2017, REG SCI POLICY PRACT, V9, P121, DOI 10.1111/rsp3.12090
   Sgrò CM, 2016, ANNU REV ENTOMOL, V61, P433, DOI 10.1146/annurev-ento-010715-023859
   Shirey V. M., 2023, ColdAdapted Butterfly Communities and Populations
   Shivanna KR, 2022, P INDIAN NATL SCI AC, V88, P160, DOI 10.1007/s43538-022-00073-6
   Showalter DN, 2020, PLANTS PEOPLE PLANET, V2, P41, DOI 10.1002/ppp3.10077
   Simonson WD, 2021, PERSPECT ECOL CONSER, V19, P300, DOI 10.1016/j.pecon.2021.05.002
   Singh A.K., 2020, Proceedings of the Indian National Science Academy, V86, P1
   Skendzic S, 2021, INSECTS, V12, DOI 10.3390/insects12050440
   Sourakov A., 2024, The little book of butterflies
   Stabentheiner A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-07279-0
   Stambaugh MC, 2021, MANAG FOR ECOSYST, V39, P149, DOI 10.1007/978-3-030-73267-7_5
   Stanturf J A., 2024, Future Forests, P125
   Stillman JH, 2019, PHYSIOLOGY, V34, P86, DOI 10.1152/physiol.00040.2018
   Subedi B, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100733
   Sundqvist MK, 2013, ANNU REV ECOL EVOL S, V44, P261, DOI 10.1146/annurev-ecolsys-110512-135750
   Tadic V, 2023, AGRIENGINEERING, V5, P2079, DOI 10.3390/agriengineering5040128
   Teixeira JC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015096118
   Thakur A. K., 2023, Niche partitioning and resource utilization strategies of butterflies (Lepidoptera: Rhopalocera)
   Valiela I., 2024, Climate Change and Estuaries, P355
   van der Sluijs JP, 2020, CURR OPIN ENV SUST, V46, P39, DOI 10.1016/j.cosust.2020.08.012
   van der Sluijs Jeroen P., 2016, Food Ethics, V1, P75, DOI 10.1007/s41055-016-0003-z
   Veres A, 2020, ENVIRON SCI POLLUT R, V27, P29867, DOI 10.1007/s11356-020-09279-x
   Verma R., 2024, Pesticides in a Changing Environment, P251
   Voroney R. P., 2024, Soil Microbiology, Ecology and Biochemistry, P13
   Wagner DL, 2020, ANNU REV ENTOMOL, V65, P457, DOI 10.1146/annurev-ento-011019-025151
   Walters J, 2022, CURR OPIN INSECT SCI, V50, DOI 10.1016/j.cois.2022.100927
   Wani AK, 2024, ENVIRON SCI POLLUT R, V31, P19381, DOI 10.1007/s11356-024-32404-z
   Wani AK, 2023, BIOCATAL AGR BIOTECH, V52, DOI 10.1016/j.bcab.2023.102829
   Wani AK, 2022, ARCH MICROBIOL, V204, DOI 10.1007/s00203-022-02757-5
   Weiskopf SR, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.137782
   Wepprich T, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0216270
   White PJT, 2007, GLOBAL ECOL BIOGEOGR, V16, P290, DOI 10.1111/j.1466-8238.2007.00298.x
   Whitfield A. K., 2024, Climate Change and Estuaries, P475
   Wickramasinghe S., 2023, Journal of Tropical Forestry and Environment, V13
   Wood TJ, 2015, BIOL CONSERV, V187, P120, DOI 10.1016/j.biocon.2015.04.022
   Xiao LY, 2024, AGR FOREST METEOROL, V345, DOI 10.1016/j.agrformet.2023.109840
   Xing YJ, 2023, SCAND J FOREST RES, V38, P465, DOI 10.1080/02827581.2023.2263367
   Zahoor Iqra, 2023, International Journal of Chemical and Biochemical Sciences, V23, P164
   Zhang RA, 2024, APPL SPECTROSC REV, V59, P989, DOI 10.1080/05704928.2023.2280583
NR 158
TC 3
Z9 3
U1 11
U2 22
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1617-1381
EI 1618-1093
J9 J NAT CONSERV
JI J. Nat. Conserv.
PD JUN
PY 2024
VL 79
AR 126602
DI 10.1016/j.jnc.2024.126602
EA MAR 2024
PG 15
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA PN6J1
UT WOS:001214793300001
DA 2025-01-10
ER

PT J
AU Martínez-Berdeja, A
   Stitzer, MC
   Taylor, MA
   Okada, M
   Ezcurra, E
   Runcie, DE
   Schmitt, J
AF Martinez-Berdeja, Alejandra
   Stitzer, Michelle C.
   Taylor, Mark A.
   Okada, Miki
   Ezcurra, Exequiel
   Runcie, Daniel E.
   Schmitt, Johanna
TI Functional variants of <i>DOG1</i> control seed chilling responses and
   variation in seasonal life-history strategies in <i>Arabidopsis
   thaliana</i>
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE delay of germination; germination niche; seed dormancy; genome-wide
   association; stratification
ID FLOWERING-TIME; LOCAL ADAPTATION; NATURAL-SELECTION; GENETIC-VARIATION;
   LEPIDIUM-SATIVUM; DORMANCY RELEASE; LOW-TEMPERATURE; ABSCISIC-ACID;
   GERMINATION; ENVIRONMENT
AB The seasonal timing of seed germination determines a plant's realized environmental niche, and is important for adaptation to climate. The timing of seasonal germination depends on patterns of seed dormancy release or induction by cold and interacts with flowering-time variation to construct different seasonal life histories. To characterize the genetic basis and climatic associations of natural variation in seed chilling responses and associated life-history syndromes, we selected 559 fully sequenced accessions of the model annual species Arabidopsis thaliana from across a wide climate range and scored each for seed germination across a range of 13 cold stratification treatments, as well as the timing of flowering and senescence. Germination strategies varied continuously along 2 major axes: 1) Overall germination fraction and 2) induction vs. release of dormancy by cold. Natural variation in seed responses to chilling was correlated with flowering time and senescence to create a range of seasonal life-history syndromes. Genome-wide association identified several loci associated with natural variation in seed chilling responses, including a known functional polymorphism in the self-binding domain of the candidate gene DOG1. A phylogeny of DOG1 haplotypes revealed ancient divergence of these functional variants associated with periods of Pleistocene climate change, and Gradient Forest analysis showed that allele turnover of candidate SNPs was significantly associated with climate gradients. These results provide evidence that A. thaliana's germination niche and correlated life-history syndromes are shaped by past climate cycles, as well as local adaptation to contemporary climate.
C1 [Martinez-Berdeja, Alejandra; Stitzer, Michelle C.; Taylor, Mark A.; Okada, Miki; Schmitt, Johanna] Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.
   [Stitzer, Michelle C.; Schmitt, Johanna] Univ Calif Davis, Ctr Populat Biol, Davis, CA 95616 USA.
   [Ezcurra, Exequiel] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA.
   [Runcie, Daniel E.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis;
   University of California System; University of California Riverside;
   University of California System; University of California Davis
RP Schmitt, J (corresponding author), Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.; Schmitt, J (corresponding author), Univ Calif Davis, Ctr Populat Biol, Davis, CA 95616 USA.
EM jschmitt@ucdavis.edu
RI Schmitt, Johanna/JQV-4612-2023
OI Runcie, Daniel/0000-0002-3008-9312; Stitzer,
   Michelle/0000-0003-4140-3765; TAYLOR, MARK/0000-0003-2266-7917; Ezcurra,
   Exequiel/0000-0002-3505-5859
FU Conacyt Postdoctoral fellowship; National Science Foundation
   [DEB-1447203, DEB-1754102]; University of California, Davis
FX We thank Kent Bradford, Moises Exposito-Alonso, Arthur Korte, Jeff
   Ross-Ibarra, Liana Burghardt, Emily Josephs, and Megan Bontrager for
   valuable advice and comments on the manuscript; and Mireille
   Caton-Darby, Holly Addington, Danielle Ethington, Felicia Wong, Josh
   Leung, Bryan Gonzalez, Helena Bayat, Lydia Eldridge, and Jasneek Attwal
   for growing the accessions and carrying out the germination experiments.
   This work was supported by a Conacyt Postdoctoral fellowship (to
   A.M.-B.); National Science Foundation Grants DEB-1447203 and DEB-1754102
   (to J.S.); and the University of California, Davis.
CR Alonso-Blanco C, 2003, GENETICS, V164, P711
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Anastasio AE, 2011, PLANT J, V67, P554, DOI 10.1111/j.1365-313X.2011.04606.x
   [Anonymous], ALIGNING SEQUENCE RE, DOI DOI 10.48550/ARXIV.1303.3997
   [Anonymous], 2013, SEEDS PHYSL DEV GERM
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Auge GA, 2019, NEW PHYTOL, V224, P55, DOI 10.1111/nph.15901
   Auge GA, 2015, SEED SCI RES, V25, P230, DOI 10.1017/S0960258514000440
   Baskin CC, 2014, SEEDS: ECOLOGY, BIOGEOGRAPHY, AND EVOLUTION OF DORMANCY AND GERMINATION, 2ND EDITION, P1, DOI 10.1016/B978-0-12-416677-6.00001-9
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Beck JB, 2008, MOL ECOL, V17, P902, DOI 10.1111/j.1365-294X.2007.03615.x
   Bentsink L, 2006, P NATL ACAD SCI USA, V103, P17042, DOI 10.1073/pnas.0607877103
   Bentsink Leonie, 2008, Arabidopsis Book, V6, pe0119, DOI 10.1199/tab.0119
   Bouché F, 2016, NUCLEIC ACIDS RES, V44, pD1167, DOI 10.1093/nar/gkv1054
   Burghardt LT, 2016, AM J BOT, V103, P47, DOI 10.3732/ajb.1500286
   Burghardt LT, 2016, NEW PHYTOL, V209, P1301, DOI 10.1111/nph.13685
   Burghardt LT, 2015, AM NAT, V185, P212, DOI 10.1086/679439
   Carrera E, 2007, PLANT PHYSIOL, V143, P1669, DOI 10.1104/pp.107.096057
   Chen F, 2000, PLANT PHYSIOL, V124, P1265, DOI 10.1104/pp.124.3.1265
   Chen M, 2014, P NATL ACAD SCI USA, V111, P18787, DOI 10.1073/pnas.1412274111
   Chen WQ, 2002, PLANT CELL, V14, P559, DOI 10.1105/tpc.010410
   Chiang GCK, 2013, EVOLUTION, V67, P883, DOI 10.1111/j.1558-5646.2012.01828.x
   Chiang GCK, 2011, MOL ECOL, V20, P3336, DOI 10.1111/j.1365-294X.2011.05181.x
   Comes HP, 1998, TRENDS PLANT SCI, V3, P432, DOI 10.1016/S1360-1385(98)01327-2
   Debieu M, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0061075, 10.1371/journal.pone.0082943]
   Donohue K, 2005, EVOLUTION, V59, P758, DOI 10.1111/j.0014-3820.2005.tb01751.x
   Donohue K, 2005, NEW PHYTOL, V166, P83, DOI 10.1111/j.1469-8137.2005.01357.x
   Donohue K, 2002, ECOLOGY, V83, P1006, DOI 10.1890/0012-9658(2002)083[1006:GTINSO]2.0.CO;2
   Duncan S, 2015, ELIFE, V4, DOI 10.7554/eLife.06620
   Durvasula A, 2017, P NATL ACAD SCI USA, V114, P5213, DOI 10.1073/pnas.1616736114
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Exposito-Alonso M, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007155
   Exposito-Alonso M, 2018, NAT ECOL EVOL, V2, P352, DOI 10.1038/s41559-017-0423-0
   Falahati-Anbaran M, 2014, NEW PHYTOL, V202, P1043, DOI 10.1111/nph.12702
   Fedak H, 2016, P NATL ACAD SCI USA, V113, pE7846, DOI 10.1073/pnas.1608827113
   Finch-Savage WE, 2006, NEW PHYTOL, V171, P501, DOI 10.1111/j.1469-8137.2006.01787.x
   Finch-Savage WE, 2017, J EXP BOT, V68, P843, DOI 10.1093/jxb/erw477
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Footitt S, 2014, NEW PHYTOL, V202, P929, DOI 10.1111/nph.12694
   Footitt S, 2013, PLANT J, V74, P1003, DOI 10.1111/tpj.12186
   Footitt S, 2011, P NATL ACAD SCI USA, V108, P20236, DOI 10.1073/pnas.1116325108
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   François O, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000075
   Galloway LF, 2007, SCIENCE, V318, P1134, DOI 10.1126/science.1148766
   Galloway LF, 2001, ECOLOGY, V82, P2781, DOI 10.1890/0012-9658(2001)082[2781:PEEOLH]2.0.CO;2
   Golz JF, 2018, PLANT SCI, V272, P179, DOI 10.1016/j.plantsci.2018.04.021
   Graeber K, 2014, P NATL ACAD SCI USA, V111, pE3571, DOI 10.1073/pnas.1403851111
   Gremer J. R., 2020, J ECOL, V108, P239
   Gremer JR, 2016, ECOL LETT, V19, P1209, DOI 10.1111/ele.12655
   Gremer JR, 2014, ECOL LETT, V17, P380, DOI 10.1111/ele.12241
   Hagmann J, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1004920
   He HZ, 2014, J EXP BOT, V65, P6603, DOI 10.1093/jxb/eru378
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hsu CW, 2019, NEW PHYTOL, V222, P1447, DOI 10.1111/nph.15682
   Huang XQ, 2010, MOL ECOL, V19, P1335, DOI 10.1111/j.1365-294X.2010.04557.x
   Huo HQ, 2016, PLANT J, V88, P345, DOI 10.1111/tpj.13267
   Huo HQ, 2016, P NATL ACAD SCI USA, V113, pE2199, DOI 10.1073/pnas.1600558113
   Jouzel J, 2007, SCIENCE, V317, P793, DOI 10.1126/science.1141038
   KALISZ S, 1986, EVOLUTION, V40, P479, DOI 10.1111/j.1558-5646.1986.tb00501.x
   Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
   Kendall S, 2012, SEED SCI RES, V22, pS23, DOI 10.1017/S0960258511000390
   Kendall SL, 2011, PLANT CELL, V23, P2568, DOI 10.1105/tpc.111.087643
   Kerdaffrec E, 2016, ELIFE, V5, DOI [10.7554/eLife.22502, 10.7554/elife.22502]
   Korves TM, 2007, AM NAT, V169, pE141, DOI 10.1086/513111
   Kronholm I, 2012, EVOLUTION, V66, P2287, DOI 10.1111/j.1558-5646.2012.01590.x
   Lee CR, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14458
   Leubner-Metzger G, 2003, SEED SCI RES, V13, P17, DOI 10.1079/SSR2002121
   Li Y, 2010, P NATL ACAD SCI USA, V107, P21199, DOI 10.1073/pnas.1007431107
   Linkies A, 2009, PLANT CELL, V21, P3803, DOI 10.1105/tpc.109.070201
   Marcer A, 2018, PLANT BIOLOGY, V20, P148, DOI 10.1111/plb.12558
   Martinez-Berdeja A., DRYAD, DOI [10.25338/B8VS4P, DOI 10.25338/B8VS4P]
   Montesinos-Navarro A, 2012, EVOLUTION, V66, P3417, DOI 10.1111/j.1558-5646.2012.01689.x
   Nakabayashi K, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005737
   Nakabayashi K, 2012, PLANT CELL, V24, P2826, DOI 10.1105/tpc.112.100214
   Née G, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00113-6
   NI BR, 1993, PLANT PHYSIOL, V101, P607, DOI 10.1104/pp.101.2.607
   Nonogaki H, 2000, PLANT PHYSIOL, V123, P1235, DOI 10.1104/pp.123.4.1235
   Ossowski S, 2010, SCIENCE, V327, P92, DOI 10.1126/science.1180677
   Paradis E, 2010, BIOINFORMATICS, V26, P419, DOI 10.1093/bioinformatics/btp696
   Penfield S, 2012, PHILOS T R SOC B, V367, P291, DOI 10.1098/rstb.2011.0186
   Postma FM, 2016, P NATL ACAD SCI USA, V113, P7590, DOI 10.1073/pnas.1606303113
   Postma FM, 2015, MOL ECOL, V24, P785, DOI 10.1111/mec.13061
   Price N, 2018, P NATL ACAD SCI USA, V115, P5028, DOI 10.1073/pnas.1719998115
   Sharbel TF, 2000, MOL ECOL, V9, P2109, DOI 10.1046/j.1365-294X.2000.01122.x
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Stitzer M. C., DRYAD, DOI [10.25338/B8VS4P, DOI 10.25338/B8VS4P]
   Stitzer M. C., 2019, SCRIPTS GENERATE DOG
   Tabas-Madrid D, 2018, PLANT CELL ENVIRON, V41, P1806, DOI 10.1111/pce.13189
   Takou M, 2019, J EXP BOT, V70, P1141, DOI 10.1093/jxb/ery447
   Taylor MA, 2017, NEW PHYTOL, V216, P291, DOI 10.1111/nph.14712
   Togninalli M, 2018, NUCLEIC ACIDS RES, V46, pD1150, DOI 10.1093/nar/gkx954
   Toledo B, 2020, ENVIRON EXP BOT, V170, DOI 10.1016/j.envexpbot.2019.103800
   Toomajian C, 2006, PLOS BIOL, V4, P732, DOI 10.1371/journal.pbio.0040137
   van Rensburg A. Jansen, 2018, BIORXIV, DOI [10.1101/427872, DOI 10.1101/427872]
   Vidigal DS, 2016, PLANT CELL ENVIRON, V39, P1737, DOI 10.1111/pce.12734
   Voegele A, 2011, J EXP BOT, V62, P5131, DOI 10.1093/jxb/err214
   Wilczek AM, 2009, SCIENCE, V323, P930, DOI 10.1126/science.1165826
   Picó FX, 2012, J ECOL, V100, P1009, DOI 10.1111/j.1365-2745.2012.01979.x
   Yamauchi Y, 2004, PLANT CELL, V16, P367, DOI 10.1105/tpc.018143
   Yatusevich R, 2017, EMBO REP, V18, P2186, DOI 10.15252/embr.201744862
   Zan YJ, 2019, MOL BIOL EVOL, V36, P141, DOI 10.1093/molbev/msy203
   Zhou X, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003264
   Zou YP, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1378-9
NR 104
TC 54
Z9 62
U1 5
U2 58
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD FEB 4
PY 2020
VL 117
IS 5
BP 2526
EP 2534
DI 10.1073/pnas.1912451117
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA KJ8YB
UT WOS:000512340900045
PM 31964817
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Cruickshank, MG
   Filipescu, CN
AF Cruickshank, Mike G.
   Filipescu, Cosmin N.
TI The interactive effect of root disease and climate on wood properties in
   halfsibling Douglas-fir families
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Wood properties; Disease resistance; Disease tolerance; Abiotic
   tolerance; Douglas-fir
ID BRITISH-COLUMBIA; DENSITY; QUALITY; DROUGHT; RESISTANCE; TOLERANCE;
   TRACHEIDS; STORAGE; TRENDS; SITE
AB Certain tree phenotypes enhance wood value properties and promote adaptation to climate extremes. However, the disciplines of wood science, physiology, and pathology rarely intersect to elucidate how survival, productivity, and wood property traits relate. Reaction to biotic and abiotic stress agents expressed in trees as disease resistance or tolerance were studied at the cell and tissue level. Five field-grown 21-22-year-old maternal halfsibling Douglas-fir Pseudotsuga menziesii var. glauca (Beissn.) Franco families were inoculated with Armillaria ostoyae (Romagn.) Herink to determine the interaction between disease, climate, and family on wood properties obtained from cores. The families originated from a lower elevation ecosystem and were categorized a priori as fungal disease resistant, tolerant or susceptible from a field study. Cell property changes suggestive of hydraulic adaptation to low precipitation were similar but lesser than the changes resulting from fungal root infection. The greatest increase in wood density occurred in disease resistant families after infection through a combination of thicker cell walls, smaller tracheid radial diameter, and reduced earlywood width. Microfibril angle and modulus of elasticity were affected differently with respect to changes in atmospheric relative humidity. Disease resistant compared to susceptible and tolerant families had inherent differences regardless of infection status. The sudden and localized changes in wood density associated with a disease resistance response could negatively impact on product quality, uniformity, and growth: on the other hand, denser wood and reduced growth associated with disease resistance may enhance drought survival. Understanding the interaction of these traits is important for adaptation to environmental stressors. Crown Copyright (C) 2017 Published by Elsevier B.V. All rights reserved.
C1 [Cruickshank, Mike G.; Filipescu, Cosmin N.] Nat Resources Canada, Canadian Wood Fibre Ctr, Canadian Forest Serv, 506 W Burnside Rd, Victoria, BC V8Z 1M5, Canada.
C3 Natural Resources Canada; Canadian Forest Service
RP Cruickshank, MG (corresponding author), Nat Resources Canada, Canadian Wood Fibre Ctr, Canadian Forest Serv, 506 W Burnside Rd, Victoria, BC V8Z 1M5, Canada.
EM mike.cruickshank@canada.ca; cosmin.filipescu@canada.ca
FU Natural Resources Canada; Canadian Forest Service; Canadian Wood Fibre
   Centre
FX We thank Natural Resources Canada, Canadian Forest Service, and the
   Canadian Wood Fibre Centre for funding.
CR Agrios G. N., 2005, PLANT PATHOL, P890
   [Anonymous], MINISTRY FORESTS SPE
   Antonova GF, 1997, TREES-STRUCT FUNCT, V11, P462, DOI 10.1007/PL00009687
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P947, DOI 10.1111/gcb.12719
   Barnett JR., 2003, Wood Quality and Its Biological Basis, V1, P226
   Begum S, 2013, PHYSIOL PLANTARUM, V147, P46, DOI 10.1111/j.1399-3054.2012.01663.x
   Chave J, 2009, ECOL LETT, V12, P351, DOI 10.1111/j.1461-0248.2009.01285.x
   Cruickshank MG, 2014, FOREST PATHOL, V44, P362, DOI 10.1111/efp.12107
   Cruickshank MG, 2011, FOREST ECOL MANAG, V261, P297, DOI 10.1016/j.foreco.2010.10.023
   Cruickshank MG, 2010, FOREST CHRON, V86, P263, DOI 10.5558/tfc86263-2
   Cruickshank MG, 2010, CAN J FOREST RES, V40, P155, DOI 10.1139/X09-184
   Cruickshank M. G., 2016, FORESTRY
   Cruickshank MG, 2002, CAN J FOREST RES, V32, P1542, DOI [10.1139/x02-074, 10.1139/X02-074]
   Dalla-Salda G, 2009, FOREST ECOL MANAG, V257, P182, DOI 10.1016/j.foreco.2008.08.019
   Defo M, 2009, FOREST CHRON, V85, P409, DOI 10.5558/tfc85409-3
   Domec JC, 2002, J EXP BOT, V53, P2369, DOI 10.1093/jxb/erf100
   Dunham SM, 2007, TREES-STRUCT FUNCT, V21, P65, DOI 10.1007/s00468-006-0097-8
   Evans R, 2006, Characterization of the Cellulosic Cell Wall, P138, DOI 10.1002/9780470999714.ch11
   Hacke UG, 2001, OECOLOGIA, V126, P457, DOI 10.1007/s004420100628
   Hall G. S., 1962, THESIS
   JOHANSSON G, 1994, HOLZ ROH WERKST, V52, P42, DOI 10.1007/BF02615017
   Johnson GR, 2007, TREE GENET GENOMES, V3, P25, DOI 10.1007/s11295-006-0054-0
   Johnson GR, 2005, CAN J FOREST RES, V35, P331, DOI 10.1139/x04-170
   Kantavichai R, 2010, FOREST ECOL MANAG, V259, P1085, DOI 10.1016/j.foreco.2009.12.017
   Kim TH, 2012, MOL CELLS, V33, P1, DOI 10.1007/s10059-012-2299-9
   KOSHY MP, 1994, CAN J FOREST RES, V24, P1734, DOI 10.1139/x94-224
   Lassen L. E., 1969, EFFECT RAINFALL ELEV, P227
   LOESCHER WH, 1990, HORTSCIENCE, V25, P274, DOI 10.21273/HORTSCI.25.3.274
   Martinez-Meier A, 2009, FOREST ECOL MANAG, V258, P860, DOI 10.1016/j.foreco.2009.03.021
   Mauriat M., 2014, TREE BIOTECHNOLOGY, P15
   Pittermann J, 2006, PLANT CELL ENVIRON, V29, P1618, DOI 10.1111/j.1365-3040.2006.01539.x
   Pompa-García M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156782
   Rathgeber CBK, 2006, ANN FOREST SCI, V63, P699, DOI 10.1051/forest:2006050
   ROBERTSON EO, 1990, CAN J FOREST RES, V20, P357, DOI 10.1139/x90-052
   SCHAFER JF, 1971, ANNU REV PHYTOPATHOL, V9, P235, DOI 10.1146/annurev.py.09.090171.001315
   Shmulsky R, 2011, FOREST PRODUCTS WOOD
   Sperry JS, 2006, AM J BOT, V93, P1490, DOI 10.3732/ajb.93.10.1490
   SPERRY JS, 1990, PLANT CELL ENVIRON, V13, P427, DOI 10.1111/j.1365-3040.1990.tb01319.x
   St Clair JB, 2005, ANN BOT-LONDON, V96, P1199, DOI 10.1093/aob/mci278
   Stoehr MU, 2009, CAN J FOREST RES, V39, P1415, DOI 10.1139/X09-059
   Ukrainetz NK, 2008, CAN J FOREST RES, V38, P1536, DOI 10.1139/X07-234
   VARGASHERNANDEZ J, 1994, CAN J FOREST RES, V24, P1871, DOI 10.1139/x94-241
   Vikram V, 2011, CAN J FOREST RES, V41, P1160, DOI [10.1139/X11-039, 10.1139/x11-039]
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Wengert E. M., 1993, CAUSES CURES WARP DR, V68
   Wood LJ, 2015, TREES-STRUCT FUNCT, V29, P461, DOI 10.1007/s00468-014-1124-9
   Ying CC, 2006, FOREST ECOL MANAG, V227, P1, DOI 10.1016/j.foreco.2006.02.028
NR 47
TC 6
Z9 6
U1 1
U2 19
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD MAY 15
PY 2017
VL 392
BP 58
EP 67
DI 10.1016/j.foreco.2017.03.002
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA ET3TH
UT WOS:000400201900006
DA 2025-01-10
ER

PT J
AU Shi, WJ
   Tao, FL
AF Shi, Wenjiao
   Tao, Fulu
TI Spatio-temporal distributions of climate disasters and the response of
   wheat yields in China from 1983 to 2008
SO NATURAL HAZARDS
LA English
DT Article
DE Climate change; Wheat yield; Drought; Impact; Sensitivity; Response
ID DROUGHT; PLAIN; ADAPTATION; EXTREMES
AB Climate disasters are now on the rise and more likely to increase in frequency and/or severity under climate change in the future. To clearly illustrate spatial-temporal distributions of climate disasters and the response of wheat yields to disasters over the past three decades, several disaster indices including the impact of climate disasters, the sensitivity to climate disasters and the response index of wheat yield losses to climate disasters were defined and calculated. The impact and sensitivity indices were examined by the agricultural production losses due to climate disasters, and the response of wheat yields to climate disasters was assessed by wheat yield loss compared with the 5-year moving average. The results showed that the indices of climate disaster impacts and sensitivities as well as response index of wheat yields to climate disasters could represent the spatial-temporal distributions of climate disasters well in the whole China. Droughts in northern China had higher impacts and sensitivities than those in southern China during the period 1983-2008, but the impacts of floods were opposite. In northern China, although impacted area by drought was larger than that by flood, the flood sensitivities were larger than drought sensitivities when flood happened. Although drought significantly affected wheat yields in most of the regions with drier conditions during 1983-2008 in major wheat-producing regions, better management practices like irrigation and drought-tolerant cultivars applied in the Huang-Huai-Hai Plain can adapt to climate disasters especially droughts. To ensure the stability of agricultural production, future food security will need to be achieved through quantifying the relative effects of climate disasters and effective adaptation to increasingly frequent extreme climate events.
C1 [Shi, Wenjiao; Tao, Fulu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Shi, WJ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China.
EM shiwj@lreis.ac.cn
OI Tao, F/0000-0001-8574-0080
FU National Natural Science Foundation of China [41371002]; Chinese Academy
   of Sciences [XDA05090310]; National Program on Key Basic Research
   Project [2010CB950902]; State Key Laboratory of Resources and
   Environmental Information System
FX This study was supported by the National Natural Science Foundation of
   China (Project No. 41371002), the "Strategic Priority Research Program"
   of the Chinese Academy of Sciences, Climate Change: Carbon Budget and
   Relevant Issues, Grant No. XDA05090310, the National Program on Key
   Basic Research Project (Project No. 2010CB950902), and the State Key
   Laboratory of Resources and Environmental Information System. We
   gratefully acknowledge the three anonymous reviewers and the editor for
   their insightful comments, suggestions and language revisions.
CR [Anonymous], WHEAT ECOLOGY CHINA
   [Anonymous], 2014, NAT HAZARDS, V74, P569
   [Anonymous], 2005, FAOSTAT AGR DATA
   Asseng S, 2011, GLOBAL CHANGE BIOL, V17, P997, DOI 10.1111/j.1365-2486.2010.02262.x
   Boyd R, 2009, ENVIRON DEV ECON, V14, P371, DOI 10.1017/S1355770X08004956
   Durao RM, 2010, INT J CLIMATOL, V30, P1526, DOI 10.1002/joc.1999
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   He B, 2011, J GEOGR SCI, V21, P235, DOI 10.1007/s11442-011-0841-x
   Li Z, 2010, QUATERN INT, V226, P92, DOI 10.1016/j.quaint.2010.03.003
   Moriondo M, 2011, CLIMATIC CHANGE, V104, P679, DOI 10.1007/s10584-010-9871-0
   Revadekar JV, 2012, INT J CLIMATOL, V32, P419, DOI 10.1002/joc.2282
   Shi WJ, 2014, INT J CLIMATOL, V34, P1181, DOI 10.1002/joc.3755
   Shi WJ, 2013, J GEOGR SCI, V23, P567, DOI 10.1007/s11442-013-1029-3
   Shi WJ, 2013, FOOD SECUR, V5, P69, DOI 10.1007/s12571-012-0225-9
   Shiferaw B, 2013, FOOD SECUR, V5, P291, DOI 10.1007/s12571-013-0263-y
   Simelton E, 2011, FOOD SECUR, V3, P35, DOI 10.1007/s12571-011-0114-7
   Tao FL, 2013, AGR FOREST METEOROL, V170, P146, DOI 10.1016/j.agrformet.2011.10.003
   Tao FL, 2013, REG ENVIRON CHANGE, V13, P743, DOI 10.1007/s10113-012-0357-7
   Tao FL, 2012, CLIM RES, V54, P233, DOI 10.3354/cr01131
   Wreford A, 2010, INT J AGR SUSTAIN, V8, P278, DOI 10.3763/ijas.2010.0482
   Xiao DP, 2013, INT J BIOMETEOROL, V57, P275, DOI 10.1007/s00484-012-0552-8
   Zhang JQ, 2004, AGR ECOSYST ENVIRON, V102, P133, DOI 10.1016/j.agee.2003.08.003
   Zhang Q, 2013, NAT HAZARDS, V65, P1275, DOI 10.1007/s11069-012-0406-z
   Zhang Z, 2013, J GEOGR SCI, V24, P387
NR 25
TC 32
Z9 35
U1 7
U2 128
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 NOV
PY 2014
VL 74
IS 2
BP 569
EP 583
DI 10.1007/s11069-014-1197-1
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 AQ6HD
UT WOS:000342910400015
DA 2025-01-10
ER

PT J
AU van Asperen, EN
AF van Asperen, Eline Naomi
TI Ecomorphological adaptations to climate and substrate in late Middle
   Pleistocene caballoid horses
SO PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
LA English
DT Article
DE European Middle Pleistocene; Equidae; Ecomorphology
ID BODY-SIZE; HABITAT PREFERENCE; FLUVIAL SEQUENCES; FERAL HORSES;
   BIOSTRATIGRAPHY; TERRESTRIAL; MORPHOLOGY; EVOLUTION; DEPOSITS; ECOLOGY
AB Due to our limited knowledge of the precise causes and mechanisms shaping mammalian adaptations, there are still many unknowns regarding the processes underlying ecomorphological variation in large mammals. Ambient temperature and humidity affect skeletal morphology both directly through thermoregulation and indirectly through their influence on the character of vegetation and substrate. Oscillations in these factors contribute, in conjunction with evolutionary and behavioural factors, to morphological variation. An examination of dietary and locomotor adaptations in the context of climatic information can give insight into the effects of specific environmental conditions on particular adaptive traits. During the late Middle Pleistocene of Europe, the caballoid horse lineage occurred over a large geographic range and throughout glacial-interglacial cycles, except for the most extreme glacial maxima. The ecomorphological signature of horse fossils from late Middle Pleistocene archaeological and palaeontological sites from northwest Europe was analysed with univariate and multivariate statistical methods, in order to assess the reliability of correlations between particular skeletal adaptations in horses and specific aspects of the environment. The analyses show that in these animals large body size and robust limb bones are correlated with mosaic steppe habitats. Glacial horses were generally small and robust, while horses that lived in temperate oceanic conditions were slender and sometimes also small. Locomotor adaptations indicate a less mobile lifestyle than in modem equids. Dietary adaptations reflect the character of the vegetation and the amount of grit present in the environment. Differences between late Middle Pleistocene horse fossils from the British Isles and those found in continental northwest Europe illustrate the relationships between these adaptations and environmental factors. (C) 2010 Elsevier B.V. All rights reserved.
C1 Univ York, Dept Archaeol, PALAEO, York YO1 7EP, N Yorkshire, England.
C3 University of York - UK
RP van Asperen, EN (corresponding author), Univ York, Dept Archaeol, PALAEO, York YO1 7EP, N Yorkshire, England.
EM envanasperen@palaeo.eu
OI van Asperen, Eline/0000-0002-2329-6831
FU European Commission [MEST-CT-2005-020601]
FX I am particularly grateful to the curators of various museums who kindly
   provided access to material in their care. I greatly appreciated the
   discussions with and helpful advice from Prof. T.P. O'Connor, and his
   comments upon an earlier version of this paper. I thank Dr. P. Auguste
   and an anonymous reviewer for their helpful comments which led me to
   improve the paper. This research was supported by the European
   Commission under the Marie Curie Actions of the Sixth Framework
   Programme (PALAEO, MEST-CT-2005-020601).
CR [Anonymous], 1984, Palaeontology
   [Anonymous], 1999, GEOL SOC SPEC REPORT
   [Anonymous], 1982, Paleoecology of Beringia, DOI DOI 10.1016/B978-0-12-355860-2.50030-2
   [Anonymous], 2002, Statistics and data analysis in geology
   [Anonymous], THESIS
   [Anonymous], 1980, Cahiers de Paleontologie
   [Anonymous], 2001, THESIS U COLL LONDON
   Antoine Pierre, 2006, Quaternaire, V17, P281
   Ashton N, 2002, ANTIQUITY, V76, P388, DOI 10.1017/S0003598X00090505
   Auguste P., 1995, THESIS
   Auguste P, 2009, QUATERNAIRE, V20, P527
   AZZAROLI A, 1989, NATO ADV SCI I A-LIF, V180, P339
   Bates MR, 2000, J QUATERNARY SCI, V15, P61, DOI 10.1002/(SICI)1099-1417(200001)15:1<61::AID-JQS463>3.0.CO;2-K
   Blackburn Tim M., 1999, Diversity and Distributions, V5, P165, DOI 10.1046/j.1472-4642.1999.00046.x
   Bocherens H, 1999, J ARCHAEOL SCI, V26, P599, DOI 10.1006/jasc.1998.0377
   Boyd L, 2005, DOMESTIC HORSE: THE ORIGINS, DEVELOPMENT AND MANAGEMENT OF ITS BEHAVIOUR, P55
   Brewer S, 2008, QUATERNARY SCI REV, V27, P2303, DOI 10.1016/j.quascirev.2008.08.029
   Bro-Jorgensen J, 2008, OIKOS, V117, P729, DOI 10.1111/j.0030-1299.2008.16069.x
   Burke Ariane, 2006, P62
   Cheddadi R, 1998, PALAEOGEOGR PALAEOCL, V143, P73, DOI 10.1016/S0031-0182(98)00067-4
   Christiansen P, 2002, ZOOL J LINN SOC-LOND, V136, P685, DOI 10.1046/j.1096-3642.2002.00041.x
   Conard MJ, 2000, INT J OSTEOARCHAEOL, V10, P286, DOI 10.1002/1099-1212(200009/10)10:5<286::AID-OA557>3.0.CO;2-8
   Cramer B., 2002, THESIS
   de Beaulieu JL, 2001, QUATERNARY SCI REV, V20, P1593, DOI 10.1016/S0277-3791(01)00027-0
   DEBEAULIEU JL, 1995, MEDED RIJKS GEOL DIE, V52, P59
   DeGusta D, 2005, J ARCHAEOL SCI, V32, P1099, DOI 10.1016/j.jas.2005.02.010
   DeGusta D, 2003, J ARCHAEOL SCI, V30, P1009, DOI 10.1016/S0305-4403(02)00286-8
   Dive J., 1991, Equids in the Ancient World II, P278
   DUNCAN P, 1990, OECOLOGIA, V84, P411, DOI 10.1007/BF00329768
   Ehlers J, 2004, DEV QUA SCI, V2, P135
   Eisenmann V., 1981, Palaeovertebrata (Montpellier), V10, P127
   EISENMANN V, 1979, Geobios (Villeurbanne), V12, P863, DOI 10.1016/S0016-6995(79)80004-2
   EISENMANN V, 1991, GEOBIOS-LYON, V24, P747, DOI 10.1016/S0016-6995(06)80303-7
   EISENMANN V, 1981, STUDYING FOSSIL HORS, V1, P1
   Eisenmann V., 1991, GEOBIOS, V13, P25
   Elton S, 2002, FOLIA PRIMATOL, V73, P252, DOI 10.1159/000067457
   Feh C, 2005, DOMESTIC HORSE: THE ORIGINS, DEVELOPMENT AND MANAGEMENT OF ITS BEHAVIOUR, P83
   Feranec RS, 2007, EVOL ECOL RES, V9, P555
   Feranec RS, 2009, PALAEOGEOGR PALAEOCL, V271, P153, DOI 10.1016/j.palaeo.2008.10.005
   FERNANDEZ FH, 2005, BIOGEOGRAPHY, V14, P39
   FERNANDEZ FH, 2003, BIOGEOGRAPHY, V12, P507
   Figueirido B, 2009, J ZOOL, V277, P70, DOI 10.1111/j.1469-7998.2008.00511.x
   Foronova Irina V., 2006, P20
   FORSTEN A, 1991, MAMMALIA, V55, P407, DOI 10.1515/mamm.1991.55.3.407
   FORSTEN A, 1988, PALAEOGEOGR PALAEOCL, V65, P23, DOI 10.1016/0031-0182(88)90109-5
   Forsten A., 1993, ETHNOGRAPHISCH ARCHA, V34, P598
   Forsten Ann, 1996, Neues Jahrbuch fuer Geologie und Palaeontologie Abhandlungen, V201, P163
   Forsten Ann, 1993, Quaternary International, V19, P71, DOI 10.1016/1040-6182(93)90025-B
   García NG, 2009, J ARCHAEOL SCI, V36, P1142, DOI 10.1016/j.jas.2008.12.018
   GARLAND T, 1993, J ZOOL, V229, P133, DOI 10.1111/j.1469-7998.1993.tb02626.x
   GREEN CP, 1984, NATURE, V309, P778, DOI 10.1038/309778a0
   Gregory WK., 1912, Ann NY Acad Sci, V22, P267, DOI DOI 10.1111/J.1749-6632.1912.TB55164.X
   Guthrie R.D., 1984, P259
   Guthrie R. Dale, 2001, BAR International Series, V944, P32
   Guthrie RD, 2003, NATURE, V426, P169, DOI 10.1038/nature02098
   GWYNNE MD, 1968, NATURE, V220, P390, DOI 10.1038/220390a0
   Houpt KA, 2005, Domestic Horse: The Origins, Development and Management of Its Behaviour, P94
   JAMES FC, 1970, ECOLOGY, V51, P365, DOI 10.2307/1935374
   JANIS C M, 1990, Memoirs of the Queensland Museum, V28, P349
   Janis C.M., 1988, Memoires du Museum National d'Histoire Naturelle Serie C Sciences de la Terre, V53, P367
   Kaczensky P, 2008, J APPL ECOL, V45, P1762, DOI 10.1111/j.1365-2664.2008.01565.x
   Kahlke RD, 2008, QUATERNARY SCI REV, V27, P1951, DOI 10.1016/j.quascirev.2008.07.013
   Kappelman J, 1997, J HUM EVOL, V32, P229, DOI 10.1006/jhev.1996.0105
   KAPPELMAN J, 1988, J MORPHOL, V198, P119, DOI 10.1002/jmor.1051980111
   KLINGEL H, 1975, J REPROD FERTIL, P7
   Koch PL, 1998, CHEM GEOL, V152, P119, DOI 10.1016/S0009-2541(98)00101-6
   Koenigswald W., 1999, KAUPIA, V9, P53
   Kovarovic K, 2007, J HUM EVOL, V52, P663, DOI 10.1016/j.jhevol.2007.01.001
   Kukla GJ, 2002, QUATERNARY RES, V58, P2, DOI 10.1006/qres.2001.2316
   Kuzmina I.E., 1997, Proceedings of the Zoological Institute, V273
   Laban C, 2004, DEV QUA SCI, V2, P251
   Levine M.A., 1982, Aging and sexing from archaeological sites, P223
   LINDSTEDT SL, 1985, AM NAT, V125, P873, DOI 10.1086/284385
   Linklater WL, 2000, BIOL REV, V75, P1, DOI 10.1017/S0006323199005411
   Linklater WL, 2000, NEW ZEAL J ECOL, V24, P139
   MACFADDEN BJ, 1988, BIOL J LINN SOC, V35, P37, DOI 10.1111/j.1095-8312.1988.tb00457.x
   Marcus LF., 1990, SPECIAL PUBLICATION, P77
   MAYR E, 1956, EVOLUTION, V10, P105, DOI 10.1111/j.1558-5646.1956.tb02836.x
   McDonnell SM, 2005, Domestic Horse: The Origins, Development and Management of Its Behaviour, P110
   Mendoza M, 2002, J ZOOL, V258, P223, DOI 10.1017/S0952836902001346
   MOHR E, 1971, ASIATIC WILD HORSE E
   Murton JB, 2001, QUATERNARY SCI REV, V20, P1787, DOI 10.1016/S0277-3791(01)00004-X
   NOBIS G, 1971, WILDPFERD HAUSPFER B, V6
   Palmqvist P, 2003, PALEOBIOLOGY, V29, P205, DOI 10.1666/0094-8373(2003)029<0205:PROALP>2.0.CO;2
   Palmqvist P, 1999, LETHAIA, V32, P75, DOI 10.1111/j.1502-3931.1999.tb00583.x
   Palmqvist P, 2008, PALAEOGEOGR PALAEOCL, V266, P95, DOI 10.1016/j.palaeo.2008.03.015
   PARFITT SA, 1998, QUATERNARY KENT SUSS, P146
   Plummer TW, 2008, J ARCHAEOL SCI, V35, P3016, DOI 10.1016/j.jas.2008.06.015
   PLUMMER TW, 1994, J HUM EVOL, V27, P47, DOI 10.1006/jhev.1994.1035
   Reed KE, 2008, J HUM EVOL, V54, P743, DOI 10.1016/j.jhevol.2007.08.013
   Reed KE, 1998, PALEOBIOLOGY, V24, P384
   Reille M, 2000, J QUATERNARY SCI, V15, P665, DOI 10.1002/1099-1417(200010)15:7<665::AID-JQS560>3.0.CO;2-G
   Rivals F, 2009, QUATERNARY SCI REV, V28, P3388, DOI 10.1016/j.quascirev.2009.09.004
   Rivals F, 2009, J ARCHAEOL SCI, V36, P1070, DOI 10.1016/j.jas.2008.12.009
   RUDDIMAN WF, 1982, GEOL SOC AM BULL, V93, P1273, DOI 10.1130/0016-7606(1982)93<1273:SASONH>2.0.CO;2
   SALTER RE, 1980, J RANGE MANAGE, V33, P266, DOI 10.2307/3898070
   SALTER RE, 1979, J RANGE MANAGE, V32, P221, DOI 10.2307/3897127
   Schreve D.C., 2000, P155
   Schreve DC, 2002, GEOL MIJNBOUW-N J G, V81, P357
   Schreve DC, 2001, QUATERN INT, V79, P65, DOI 10.1016/S1040-6182(00)00123-3
   Shackleton N. J., 1973, Quaternary Research, V3, P39, DOI 10.1016/0033-5894(73)90052-5
   SHACKLETON NJ, 1987, QUATERNARY SCI REV, V6, P183, DOI 10.1016/0277-3791(87)90003-5
   Simpson G.O., 1960, Quantitative Zoology
   SIMPSON GEORGE GAYLORD, 1941, AMER MUS NOVITATES, V1136, P1
   SONDAAR PY, 1968, VERHANDELINGEN KO 25
   STEUDEL K, 1993, J MORPHOL, V217, P55, DOI 10.1002/jmor.1052170105
   Stevens RE, 2004, QUATERNARY SCI REV, V23, P977, DOI 10.1016/j.quascirev.2003.06.024
   Thomason J.J., 1986, Journal of Vertebrate Paleontology, V6, P143
   Tilkens MJ, 2007, J HUM EVOL, V53, P286, DOI 10.1016/j.jhevol.2007.04.005
   Turner E., 1990, JB ROMISCH GER ZENTR, V37, P133
   Tzedakis PC, 1997, EARTH PLANET SC LETT, V150, P171, DOI 10.1016/S0012-821X(97)00078-2
   Tzedakis PC, 2001, QUATERNARY SCI REV, V20, P1583, DOI 10.1016/S0277-3791(01)00025-7
   van Asperen EN, 2009, QUATERNAIRE, V20, P437
   Van Kolfschoten Thijs, 1995, Acta Zoologica Cracoviensia, V38, P73
   van Valkenburgh B., 1987, Journal of Vertebrate Paleontology, V7, P162
   VANASPEREN EN, 2009, THESIS
   Winans M.C., 1989, The evolution of Perissodactyls, P262
NR 117
TC 42
Z9 49
U1 1
U2 81
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0031-0182
EI 1872-616X
J9 PALAEOGEOGR PALAEOCL
JI Paleogeogr. Paleoclimatol. Paleoecol.
PD NOV 20
PY 2010
VL 297
IS 3-4
BP 584
EP 596
DI 10.1016/j.palaeo.2010.09.007
PG 13
WC Geography, Physical; Geosciences, Multidisciplinary; Paleontology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology; Paleontology
GA 685YC
UT WOS:000284663000004
DA 2025-01-10
ER

PT J
AU Chen, CY
   Chuang, YH
   Chen, HW
   Teng, CS
AF Chen, Chien Yuan
   Chuang, Y. H.
   Chen, Ho Wen
   Teng, C. S.
TI Optimizing ecological corridors for urban sustainability by using remote
   sensing and decision modeling
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
LA English
DT Article; Early Access
DE Ecological corridors; Urbanization; Environmental sustainability;
   Habitat restoration; Multicriteria Decision-Making (MCDC); Mixed-integer
   linear programming (MILP)
ID CLIMATE ADAPTATION; GREEN SPACE; CONSERVATION CORRIDORS; ECOSYSTEM
   SERVICES; CONNECTIVITY; LANDSCAPE; RIVER; INFRASTRUCTURE; BENEFITS;
   DESIGN
AB Rapid industrialization and urbanization have led to the depletion of forests and green spaces in urban areas, resulting in urban heat islands, ecological crises, the alteration of microclimates, and the escalation of various other environmental problems. Restoring fragmented habitats and enhancing ecosystem services within urban environments fosters ecological resilience and plays a significant role in promoting social and economic development. These efforts also fortify urban resilience in the face of climate-change-related adversities. This paper systematically optimizes ecological corridors considering environmental factors, including carbon flux, biological diversity, landscape characteristics, topography, and associated environmental costs. A 1-year monitoring program was conducted to collect data, and a multicriteria decision-making method was then employed to identify suitable habitats within the study area. Additionally, a mixed-integer linear programming model was used to develop an optimized conservation plan to mitigate habitat fragmentation and maximize environmental benefits. The results of the proposed integrated approach revealed its effectiveness in addressing the depletion of green spaces and fragmentation of habitats in urban areas, thereby contributing to the overall sustainability and resilience of urban ecosystems and offering promising prospects for social and economic development. The results indicate that the linear programming approach effectively incorporates the shape index into the analysis. Consequently, ecological corridors are more concentrated while maintaining the same level of environmental protection capability. This leads to a reduction in the number of grid cells requiring restoration and a significant decrease in restoration costs, approximately 1/40 of the estimated expenses by conventional multi-criteria evaluation methods.
C1 [Chuang, Y. H.; Chen, Ho Wen; Teng, C. S.] Tunghai Univ, Dept Environm Sci & Engn, 1727,Sec4,Taiwan Blvd, Taichung 40704, Taiwan.
   [Chen, Chien Yuan] Natl Chiayi Univ, Dept Civil & Water Resources Engn, 300 Xuefu Rd, Chiayi 60004, Taiwan.
RP Chen, HW (corresponding author), Tunghai Univ, Dept Environm Sci & Engn, 1727,Sec4,Taiwan Blvd, Taichung 40704, Taiwan.
EM hwchen@thu.edu.tw
FU National Science and Technology Council [108-2221-E-029-017-MY3];
   Ministry of Science and Technology in Taiwan
FX The authors are grateful for the financial support from the Ministry of
   Science and Technology in Taiwan under Contract No.
   108-2221-E-029-017-MY3.
CR Adler GH, 1995, J ZOOL, V237, P563, DOI 10.1111/j.1469-7998.1995.tb05015.x
   Anastasio OE, 2021, AGR ECOSYST ENVIRON, V310, DOI 10.1016/j.agee.2021.107299
   Assari A., 2012, Indian Journal of Science and Technology, V6, P2289, DOI [10.17485/ijst/2012/v5i3.2, DOI 10.17485/IJST/2012/V5I3.2]
   Avotins A, 2022, GLOB ECOL CONSERV, V38, DOI 10.1016/j.gecco.2022.e02218
   Aziz H-A, 2014, IOP conference series: earth and environmental science
   Batáry P, 2004, CONSERV BIOL, V18, P389, DOI 10.1111/j.1523-1739.2004.00184.x
   Beier P, 1998, CONSERV BIOL, V12, P1241, DOI 10.1046/j.1523-1739.1998.98036.x
   Bornette G, 2011, AQUAT SCI, V73, P1, DOI 10.1007/s00027-010-0162-7
   Braswell BH, 2005, GLOBAL CHANGE BIOL, V11, P335, DOI 10.1111/j.1365-2486.2005.00897.x
   Carver S., 2011, Mt Res Dev, V31, P73, DOI [10.1659/mrd.mm080, DOI 10.1659/MRD.MM080]
   Chang HK, 2012, J COASTAL RES, V28, P369, DOI [10.2112/JCOASTRES-D-10-00092.1, 10.2112/JCOASTRES-D-10.00092.1]
   Chen RN, 2024, SCI TOTAL ENVIRON, V907, DOI 10.1016/j.scitotenv.2023.167987
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Czochanski JT, 2018, ECOL QUEST, V29, P77, DOI 10.12775/EQ.2018.006
   Dang H, 2024, ECOL INDIC, V165, DOI 10.1016/j.ecolind.2024.112166
   Dar Naseer Ahmad, 2014, Limnological Review, V14, P75, DOI 10.2478/limre-2014-0008
   De Ridder K, 2004, SCI TOTAL ENVIRON, V334, P489, DOI 10.1016/j.scitotenv.2004.04.054
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   Diggle P, 1981, Estimation of density from line transect sampling of biological populations
   Doick KJ, 2014, SCI TOTAL ENVIRON, V493, P662, DOI 10.1016/j.scitotenv.2014.06.048
   Douglas I, 2011, ROUTLEDGE HANDBOOK OF URBAN ECOLOGY, P1
   Fleury AM, 1997, LANDSCAPE URBAN PLAN, V37, P163, DOI 10.1016/S0169-2046(97)80002-3
   FLINT J., 2012, The Future of Sustainable Cities: Critical Reflections
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Govindarajulu D, 2014, URBAN CLIM, V10, P35, DOI 10.1016/j.uclim.2014.09.006
   Guneroglu N, 2013, OCEAN COAST MANAGE, V83, P67, DOI 10.1016/j.ocecoaman.2013.02.025
   Güngör C, 2020, J HIGH ENERGY ASTROP, V25, P10, DOI 10.1016/j.jheap.2019.12.001
   Hachol J, 2019, POL J ENVIRON STUD, V28, P609, DOI 10.15244/pjoes/85220
   Holway DA, 2005, BIOL CONSERV, V121, P561, DOI 10.1016/j.biocon.2004.06.005
   Hou QH, 2021, SUSTAIN ENERGY TECHN, V44, DOI 10.1016/j.seta.2021.100993
   HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V
   Ignatieva M, 2011, LANDSC ECOL ENG, V7, P17, DOI 10.1007/s11355-010-0143-y
   Jabareen YR, 2006, J PLAN EDUC RES, V26, P38, DOI 10.1177/0739456X05285119
   Jim CY, 2013, URBAN ECOSYST, V16, P741, DOI 10.1007/s11252-012-0268-x
   Kondo MC, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15030445
   LaPoint S, 2015, FUNCT ECOL, V29, P868, DOI 10.1111/1365-2435.12489
   Lee ACK, 2011, J PUBLIC HEALTH-UK, V33, P212, DOI 10.1093/pubmed/fdq068
   Lesiv M., 2020, Studia Biologica, V14, P79, DOI [10.30970/sbi.1402.619, DOI 10.30970/SBI.1402.619]
   Li F, 2005, LANDSCAPE URBAN PLAN, V72, P325, DOI 10.1016/j.landurbplan.2004.04.002
   Li F, 2017, J CLEAN PROD, V163, pS12, DOI 10.1016/j.jclepro.2016.02.079
   Liao CH, 2013, INT J ENVIRON SCI TE, V10, P1275, DOI 10.1007/s13762-012-0155-2
   LINDENMAYER DB, 1993, CONSERV BIOL, V7, P627, DOI 10.1046/j.1523-1739.1993.07030627.x
   Liu JK, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.123185
   Luo YH, 2022, URBAN FOR URBAN GREE, V78, DOI 10.1016/j.ufug.2022.127771
   Peng J., 2017, Acta Ecol Sin, V37, P23, DOI [10.1016/j.chnaes.2016.12.002, DOI 10.1016/J.CHNAES.2016.12.002]
   Pereira KM, 2021, FLORA, V279, DOI 10.1016/j.flora.2021.151811
   Peters Debra P.C., 2001, P645
   Pierik ME, 2016, ECOL INDIC, V67, P807, DOI 10.1016/j.ecolind.2016.03.032
   Puth LM, 2001, CONSERV BIOL, V15, P21, DOI 10.1046/j.1523-1739.2001.99554.x
   Rigolon A, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2030067
   ROMME WH, 1982, BIOSCIENCE, V32, P664, DOI 10.2307/1308816
   Rouget M, 2006, CONSERV BIOL, V20, P549, DOI 10.1111/j.1523-1739.2006.00297.x
   Ryszkowski L., 1975, Oikos, V19, P139
   Schrader CC., 1997, Landsc J, V16, P202, DOI [10.3368/lj.16.2.202, DOI 10.3368/LJ.16.2.202]
   Shi H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082725
   Shih HS, 2007, MATH COMPUT MODEL, V45, P801, DOI 10.1016/j.mcm.2006.03.023
   Stein M.L., 1999, Interpolation of Spatial Data: Some Theory for Kriging, DOI [DOI 10.1007/978-1-4612-1494-6, 10.1007/978-1-4612-1494-6]
   Tang Y., 2020, ISPRS INT GEO-INF, V9, DOI [DOI 10.3390/ijgi9010033, 10.3390/ijgi9010033]
   Vergnes A, 2013, URBAN ECOSYST, V16, P511, DOI 10.1007/s11252-013-0289-0
   Wang B, 2023, URBAN FOR URBAN GREE, V84, DOI 10.1016/j.ufug.2023.127927
   Wheeler S.:., 1996, Sustainable Urban Development: A literature review and analysis
   Wheeler SM., 2014, Sustainable urban development reader, V3, DOI [10.4324/9781315770369, DOI 10.4324/9781315770369]
   Wohl E, 2017, ECOL MONOGR, V87, P379, DOI 10.1002/ecm.1261
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Yigitcanlar T, 2015, INT J ENVIRON SCI TE, V12, P341, DOI 10.1007/s13762-013-0491-x
   Yu DY, 2012, ECOL ENG, V46, P24, DOI 10.1016/j.ecoleng.2012.04.033
   Zhang ZZ, 2019, URBAN FOR URBAN GREE, V38, P305, DOI 10.1016/j.ufug.2018.10.014
   Zhao SM, 2019, URBAN FOR URBAN GREE, V46, DOI 10.1016/j.ufug.2019.126479
   Zhou HR, 2010, J ARID LAND, V2, P123, DOI 10.3724/SP.J.1227.2010.00123
   Zhou T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120208
   Zhou Y, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8169-4
NR 71
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1735-1472
EI 1735-2630
J9 INT J ENVIRON SCI TE
JI Int. J. Environ. Sci. Technol.
PD 2024 DEC 30
PY 2024
DI 10.1007/s13762-024-06272-6
EA DEC 2024
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Q8P5G
UT WOS:001387228000001
DA 2025-01-10
ER

PT J
AU Wong, MC
   Wang, JY
   Zhi, XF
   Dong, LJ
AF Wong, Meei Chyi
   Wang, Jingyu
   Zhi, Xiefei
   Dong, Luojie
TI A 1940-2020 spatiotemporal analysis of thermal discomfort days in
   Southeast Asian countries
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE thermal uncomfortable day; mean radiant temperature; universal thermal
   climate index; Southeast Asia; spatiotemporal variation
AB The high temperature and humidity make Southeast Asia (SEA) one of the regions most susceptible to the occurrence of thermal discomfort days (TDDs) in the world. In the context of global warming, SEA's rapid population growth and urban expansion further exacerbated the region's exposure to TDD, posing greater risks in public health. However, there exists a significant knowledge gap in the understanding of the long-term spatiotemporal evolution of TDD, as well as its projection in the future. By utilizing the newly released ERA5 datasets of Universal Thermal Climate Index (UTCI) and Mean Radiant Temperature (MRT), this study presented the 81-year analysis of TDDs in SEA countries, spanning from 1940 to 2020, with projections extending to 2100. While the mean increase in UTCI was relatively modest, the corresponding rise in TDD likelihood was disproportionately larger, indicating a heightened risk of exposure. A distinct contrast was observed between continental and maritime regions, with maritime countries showing smaller absolute rises in both indices but larger trends in TDD frequency due to oceanic moderating effects. Seasonal analyses highlighted the dominant influence of the East Asia monsoon over SEA, and spatial analyses revealed a negative correlation between TDD occurrence and elevation, with low-lying areas being hotspots. Projections for 2050 suggest continued warming. These findings underscore the urgency of proactive measures to address climate change impacts, particularly in vulnerable maritime and low-lying areas, providing valuable insights for enhancing climate resilience and adaptation in SEA. Our findings reveal critical insights into the trends and future scenarios of thermal discomfort in the region, underscoring the urgent need for effective climate adaptation strategies.
C1 [Wong, Meei Chyi; Wang, Jingyu; Dong, Luojie] Nanyang Technol Univ, Natl Inst Educ, Singapore, Singapore.
   [Zhi, Xiefei] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China.
   [Zhi, Xiefei] Weather Online Inst Meteorol Applicat, Wuxi, Peoples R China.
C3 Nanyang Technological University; National Institute of Education (NIE)
   Singapore; Nanjing University of Information Science & Technology
RP Wang, JY (corresponding author), Nanyang Technol Univ, Natl Inst Educ, Singapore, Singapore.
EM jingyu.wang@nie.edu.sg; zhi@nuist.edu.cn
RI W, J/AAB-7776-2021; Dong, Luojie/LIC-0508-2024; Zhi,
   Xiefei/AGU-6880-2022
OI Wong, Meei Chyi/0009-0007-3682-2734; Dong, Luojie/0009-0007-7911-6012
FU Nanyang Technological University https://doi.org/10.13039/501100001475
   [022502-00001 NTU SSHR 4/22 WJY]; Nanyang Technological University
   Social Science and Humanities Research (SSHR) 2025 Seed Grant
   [022020-00001 SUG 2/22 WJY]; National Institute of Education, Nanyang
   Technological University
FX This study has been funded by the Nanyang Technological University
   Social Science and Humanities Research (SSHR) 2025 Seed Grant
   (022502-00001 NTU SSHR 4/22 WJY), and the Start-up Grant from National
   Institute of Education, Nanyang Technological University (022020-00001
   SUG 2/22 WJY). Any opinions, findings and conclusions or recommendations
   expressed in this material are those of the authors and do not reflect
   the views of the National Institute of Education, Singapore. The authors
   declare no conflict of interest.
CR Aghamohammadi N, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103015
   Aghamohammadi N, 2021, SCI TOTAL ENVIRON, V782, DOI 10.1016/j.scitotenv.2021.146611
   Boer GJ, 2011, CLIM DYNAM, V37, P2253, DOI 10.1007/s00382-011-1112-3
   Bröde P, 2012, INT J BIOMETEOROL, V56, P481, DOI 10.1007/s00484-011-0454-1
   Chooprateep S, 2016, THEOR APPL CLIMATOL, V123, P361, DOI 10.1007/s00704-014-1324-7
   Di Napoli C, 2021, GEOSCI DATA J, V8, P2, DOI 10.1002/gdj3.102
   Di Napoli Claudia, 2024, ECMWR, DOI 10.24381/CDS.553B7518
   Di Napoli C, 2020, INT J BIOMETEOROL, V64, P1233, DOI 10.1007/s00484-020-01900-5
   Dong LJ, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2023GL106112
   Epstein Y, 2006, IND HEALTH, V44, P388, DOI 10.2486/indhealth.44.388
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Fong CS, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101428
   Jendritzky G., 1990, BEITR AKAD RAUMFORSC
   Liu LLJ, 2023, INT J BIOMETEOROL, V67, P2055, DOI 10.1007/s00484-023-02562-9
   Nazarian N, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd130
   Novak M, 2013, GEOGR POL, V86, P21, DOI 10.7163/GPol.2013.3
   Pappenberger F, 2015, INT J BIOMETEOROL, V59, P311, DOI 10.1007/s00484-014-0843-3
   Rahmstorf S, 2011, P NATL ACAD SCI USA, V108, P17905, DOI 10.1073/pnas.1101766108
   Ramakreshnan L, 2018, ENVIRON SCI POLLUT R, V25, P2096, DOI 10.1007/s11356-017-0860-y
   Staiger H., P 7 C BIOM, P213
   Vatani M, 2024, ENVIRON RES LETT, V19, DOI 10.1088/1748-9326/ad49b7
   Wong, 2024, zenodo
   Yang L, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034018
   Yang W, 2015, PROCEDIA ENGINEER, V121, P2125, DOI 10.1016/j.proeng.2015.09.083
   Zhang Huai-Min, 2019, NCEI
NR 25
TC 0
Z9 0
U1 4
U2 4
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 2515-7620
J9 ENVIRON RES COMMUN
JI Environ. Res. Commun.
PD OCT 1
PY 2024
VL 6
IS 10
AR 101009
DI 10.1088/2515-7620/ad810b
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA I8F8M
UT WOS:001332568800001
OA gold
DA 2025-01-10
ER

PT J
AU Elmahdi, A
   Jeong, J
AF Elmahdi, Amgad
   Jeong, Jinkyung
TI From Debt to Sustainability: Advancing Wastewater Projects in Developing
   Countries through Innovative Financing Mechanisms-The Role of
   Debt-for-Climate Swaps
SO CLIMATE
LA English
DT Article
DE debt-for-climate swap; innovative finance; climate finance; wastewater;
   water supply
AB Developing countries, including Small Island Developing States (SIDSs) and Least Developed Countries (LDCs), are exceptionally vulnerable to climate change due to their distinct geographical and environmental characteristics. Escalating sea levels and heightened salinity levels imperil freshwater reserves, while warmer ocean temperatures and acidification disrupt water demand, tourism, health services, and fisheries. Concurrently, these countries bear the brunt of water shortages, flooding, and declining water quality. However, significant barriers such as limited financing capacities to fund water security initiatives, exacerbated by a growing debt crisis marked by escalating interest rates and inflation, hinder developmental progress and investments in climate adaptation and mitigation endeavors. Consequently, there arises a critical necessity to harness innovative financial mechanisms to transform these debts into opportunities that support effective climate action. This paper explores the potential of debt-for-climate swaps as a catalyst for advancing transformative wastewater projects, focusing on their strategic deployment to underpin critical initiatives. Through case studies and empirical evidence, the paper elucidates how debt-for-climate swaps can enhance sustainable wastewater management systems in developing countries and delineates best practices for leveraging these mechanisms and the roles and responsibilities of key stakeholders, including governments, policymakers, the private sector, communities, and climate financial institutions. Combining theoretical insights with tangible examples, this paper furnishes a comprehensive framework for harnessing debt-for-climate swaps to enhance water security and resilience in developing countries. It offers actionable strategies for policymakers, practitioners, and stakeholders to navigate the complex terrain of climate change and engender sustainable development.
C1 [Elmahdi, Amgad; Jeong, Jinkyung] Green Climate Fund GCF, Incheon 22004, South Korea.
RP Elmahdi, A; Jeong, J (corresponding author), Green Climate Fund GCF, Incheon 22004, South Korea.
EM aelmahdi@gcfund.org; jkjeong@gcfund.org
FX This research received no external funding.
CR [Anonymous], 2016, Green Investment Banks: Scaling up Private Investment in Low-carbon, Climate-resilient Infrastructure, Green Finance and Investment, DOI DOI 10.1787/9789264245129-EN
   Brears R.C., 2018, Blue and green cities: the role of blue-green infrastructure in managing urban water resources
   Delmon J., 2024, Innovative Funding and Financing for Infrastructure: Addressing Scarcity of Public Resources
   Elmahdi A., 2023, Green Climate Fund
   Elmahdi A, 2022, CLIMATE, V10, DOI 10.3390/cli10120191
   Gamso J., 2023, Stanford Social Innovation Review, DOI [10.48558/RK2K-BS67, DOI 10.48558/RK2K-BS67]
   International Institute for Environment and Development (IIED), 2024, Debt Swaps Could Release $100 Billion for Climate Action
   Kauffmann C, 2011, INT J WATER RESOUR D, V27, P83, DOI 10.1080/07900627.2010.531377
   Lebu S, 2024, SCI TOTAL ENVIRON, V925, DOI 10.1016/j.scitotenv.2024.171520
   OECD Global Material Resources Outlook, 2018, Economic Drivers and Environmental Consequences: Highlights
   Silva JA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410940
   Stanford Water in the West, 2018, Water Finance: The Imperative for Water Security and Economic Growth
   UNICEF, 2024, Why We Must Act Now to Overcome the Global Water Crisis
   World Bank, 2022, Water Supply and Sanitation Policies, Institutions, and Regulation: Adapting to a Changing World-Synthesis Report
   World Bank (WB), 2021, Twitter
NR 15
TC 1
Z9 1
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD AUG
PY 2024
VL 12
IS 8
AR 122
DI 10.3390/cli12080122
PG 19
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA E8R3L
UT WOS:001305612200001
OA gold
DA 2025-01-10
ER

PT J
AU Gonzalez-Trujillo, JD
   Alagador, D
   González-del-Pliego, P
   Araújo, MB
AF Gonzalez-Trujillo, Juan David
   Alagador, Diogo
   Gonzalez-del-Pliego, Pamela
   Araujo, Miguel B.
TI Exposure of protected areas in Central America to extreme weather events
SO CONSERVATION BIOLOGY
LA English
DT Article
DE climate adaptation; climate change; climate exposure; conservation
   planning; droughts heavy rainfall; hurricanes; restoration
ID CLIMATE-CHANGE; DISPERSAL CORRIDORS; RANGE; CONSERVATION; CHALLENGES;
   SURVIVAL; MODELS; IMPACT
AB Central America and the Caribbean are regularly battered by megadroughts, heavy rainfall, heat waves, and tropical cyclones. Although 21st-century climate change is expected to increase the frequency, intensity, and duration of these extreme weather events (EWEs), their incidence in regional protected areas (PAs) remains poorly explored. We examined historical and projected EWEs across the region based on 32 metrics that describe distinct dimensions (i.e., intensity, duration, and frequency) of heat waves, cyclones, droughts, and rainfall and compared trends in PAs with trends in unprotected lands. From the early 21st century onward, exposure to EWEs increased across the region, and PAs were predicted to be more exposed to climate extremes than unprotected areas (as shown by autoregressive model coefficients at p < 0.05 significance level). This was particularly true for heat waves, which were projected to have a significantly higher average (tested by Wilcoxon tests at p < 0.01) intensity and duration, and tropical cyclones, which affected PAs more severely in carbon-intensive scenarios. PAs were also predicted to be significantly less exposed to droughts and heavy rainfall than unprotected areas (tested by Wilcoxon tests at p < 0.01). However, droughts that could threaten connectivity between PAs are increasingly common in this region. We estimated that approximately 65% of the study area will experience at least one drought episode that is more intense and longer lasting than previous droughts. Collectively, our results highlight that new conservation strategies adapted to threats associated with EWEs need to be tailored and implemented promptly. Unless urgent action is taken, significant damage may be inflicted on the unique biodiversity of the region.
C1 [Gonzalez-Trujillo, Juan David; Alagador, Diogo; Gonzalez-del-Pliego, Pamela; Araujo, Miguel B.] Univ Evora, Mediterranean Inst Agr, Environm & Dev & CHANGE Global Change & Sustainab, Evora, Portugal.
   [Gonzalez-Trujillo, Juan David; Araujo, Miguel B.] CSIC, Museo Nacl Ciencias Nat, Madrid, Spain.
   [Gonzalez-Trujillo, Juan David] Univ Evora, Mediterranean Inst Agr Environm & Dev & Change, Global Change & Sustainabil Inst, P-7000671 Evora, Portugal.
C3 University of Evora; Consejo Superior de Investigaciones Cientificas
   (CSIC); CSIC - Museo Nacional de Ciencias Naturales (MNCN); University
   of Evora
RP Gonzalez-Trujillo, JD (corresponding author), Univ Evora, Mediterranean Inst Agr Environm & Dev & Change, Global Change & Sustainabil Inst, P-7000671 Evora, Portugal.
EM jdgonzalezt@gmail.com
RI Bastos Araujo, Miguel/B-6117-2008; Alagador, Diogo/A-2846-2014;
   Gonzalez-Trujillo, Juan David/J-5207-2017
OI Bastos Araujo, Miguel/0000-0002-5107-7265; Alagador,
   Diogo/0000-0003-0710-3187; Gonzalez-Trujillo, Juan
   David/0000-0001-6870-6278
FU Fundao para a Cincia e a Tecnologia [PTDC/BIA-CBI/6515/2020];
   BNP-PARIBAS Foundation on their 2019 Climate and Biodiversity Initiative
   call through the CORESCAM project - Foundation for Science and
   Technology (FCT) under the project PARIS: The Paris Agreement
   [UIDB/05183/2020]; FCT [PTDC/BIA-ECO/0207/2020]; FCT UNRAVEL project
FX J.D.G.T. and M.B.A. acknowledge support from the BNP-PARIBAS Foundation
   on their 2019 Climate and Biodiversity Initiative call through the
   CORESCAM project (Coastal Biodiversity Resilience to Increasing Extreme
   Events in Central America). J.D.G.T. is funded by the Foundation for
   Science and Technology (FCT) under the project PARIS: The Paris
   Agreement and the Global Redistribution of Marine Biodiversity
   (PTDC/BIA-CBI/6515/2020). D.A. had support from the FCT's project
   UIDB/05183/2020. P.G. was funded by the FCT UNRAVEL project
   (PTDC/BIA-ECO/0207/2020).
CR Alagador D, 2016, METHODS ECOL EVOL, V7, P853, DOI 10.1111/2041-210X.12524
   Alagador D, 2014, J APPL ECOL, V51, P703, DOI 10.1111/1365-2664.12230
   Amaral C, 2023, SCI TOTAL ENVIRON, V898, DOI 10.1016/j.scitotenv.2023.165413
   Araujo M.B., 2009, Protected areas and climate change in Europe.
   Araújo MB, 2004, BIOL CONSERV, V118, P533, DOI 10.1016/j.biocon.2003.10.006
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Avila-Diaz A, 2023, EARTH SYST ENVIRON, V7, P99, DOI 10.1007/s41748-022-00337-7
   Bailey LD, 2016, J ANIM ECOL, V85, P85, DOI 10.1111/1365-2656.12451
   Bateman BL, 2015, LANDSCAPE ECOL, V30, P1095, DOI 10.1007/s10980-015-0212-6
   Bivand R, 2022, GEOGR ANAL, V54, P488, DOI 10.1111/gean.12319
   Buckley LB, 2016, GLOBAL CHANGE BIOL, V22, P3829, DOI 10.1111/gcb.13313
   Buenafe KCV, 2023, ECOL APPL, V33, DOI 10.1002/eap.2852
   Castellanos E., 2022, Climate Change 2022-Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P1689, DOI [DOI 10.1017/9781009325844.014, 10.1017/9781009325844.014, DOI 10.1017/9781009325844, 10.1017/9781009325844.014.1689]
   Chen A. M. T., 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, P147, DOI [DOI 10.1017/9781009157896.003, 10.1017/9781009157896.003]
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   CLIFF N, 1993, PSYCHOL BULL, V114, P494, DOI 10.1037/0033-2909.114.3.494
   Comita LS, 2009, J ECOL, V97, P1346, DOI 10.1111/j.1365-2745.2009.01551.x
   Cook BI, 2022, NAT REV EARTH ENV, V3, P741, DOI 10.1038/s43017-022-00329-1
   D'Aloia CC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00027
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Dinerstein E, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb2824
   Dobrowski SZ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00270-z
   Early R, 2011, ECOL LETT, V14, P1125, DOI 10.1111/j.1461-0248.2011.01681.x
   Fabina NS, 2015, ECOL APPL, V25, P1534, DOI 10.1890/14-0273.1
   Foden W, 2007, DIVERS DISTRIB, V13, P645, DOI 10.1111/j.1472-4642.2007.00391.x
   França FM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0116
   Frederiksen M, 2008, J ANIM ECOL, V77, P1020, DOI 10.1111/j.1365-2656.2008.01422.x
   Freedman RM, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-77885-3
   Garcia RA, 2016, GLOBAL ECOL BIOGEOGR, V25, P65, DOI 10.1111/geb.12386
   Garcia RA, 2014, SCIENCE, V344, P486, DOI 10.1126/science.1247579
   González-del-Pliego P, 2020, J ANIM ECOL, V89, P2451, DOI 10.1111/1365-2656.13309
   González-Trujillo JD, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03622-0
   Gould W A., 2020, Encyclopedia Of The Worlds Biomes, V1, P114, DOI DOI 10.1016/B978-0-12-409548-9.12091-3
   Gouveia CD, 2022, INT J CLIMATOL, V42, P7362, DOI 10.1002/joc.7650
   Gräler B, 2016, R J, V8, P204
   Griscom BW, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0126
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Harris RMB, 2018, NAT CLIM CHANGE, V8, P579, DOI 10.1038/s41558-018-0187-9
   Hill JK, 2011, ANNU REV ENTOMOL, V56, P143, DOI 10.1146/annurev-ento-120709-144746
   Hoffmann S, 2020, DIVERS DISTRIB, V26, P1496, DOI 10.1111/ddi.13136
   Hughes TP, 2019, NAT CLIM CHANGE, V9, P40, DOI 10.1038/s41558-018-0351-2
   IUCN-WCPA Task Force on OECMs, 2019, REC REP OTH EFF AR B, DOI [10.2305/IUCN.CH.2019.PATRS.3.en, DOI 10.2305/IUCN.CH.2019.PATRS.3.EN, 10.2305/iucn.ch.2019.patrs.3.en]
   Keppel G, 2012, GLOBAL CHANGE BIOL, V18, P2389, DOI 10.1111/j.1365-2486.2012.02729.x
   Kreyling J, 2014, ECOL LETT, V17, DOI 10.1111/ele.12193
   Lange S, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001616
   Lea MA, 2009, BIOL LETTERS, V5, P252, DOI 10.1098/rsbl.2008.0643
   Li DB, 2023, ECOL EVOL, V13, DOI 10.1002/ece3.10166
   Liu H, 2012, BIOL CONSERV, V150, P68, DOI 10.1016/j.biocon.2012.02.018
   Martinuzzi S, 2016, BIOL CONSERV, V201, P327, DOI 10.1016/j.biocon.2016.07.007
   Matusick G, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad8cb
   McKechnie AE, 2010, BIOL LETTERS, V6, P253, DOI 10.1098/rsbl.2009.0702
   Neilson EW, 2020, ECOL EVOL, V10, P12147, DOI 10.1002/ece3.6842
   Ortega G, 2021, INT J CLIMATOL, V41, P6713, DOI 10.1002/joc.7221
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pereira HM, 2012, ANNU REV ENV RESOUR, V37, P25, DOI 10.1146/annurev-environ-042911-093511
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   PETERS RL, 1985, BIOSCIENCE, V35, P707, DOI 10.2307/1310052
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Ranius T, 2023, AMBIO, V52, P68, DOI 10.1007/s13280-022-01779-z
   Reyer CPO, 2017, REG ENVIRON CHANGE, V17, P1601, DOI 10.1007/s10113-015-0854-6
   Roberts MJ, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088662
   Sabater S, 2023, BIOL REV, V98, P450, DOI 10.1111/brv.12914
   Sales LP, 2023, CONSERV BIOL, V37, DOI 10.1111/cobi.14087
   Scheffers BR, 2014, GLOBAL CHANGE BIOL, V20, P495, DOI 10.1111/gcb.12439
   Shafer CL, 2001, BIOL CONSERV, V100, P215, DOI 10.1016/S0006-3207(01)00025-8
   Sheehan EV, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.671427
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Smale DA, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2829
   Taylor M.A., 2012, Caribbean Studies, V40, P169, DOI DOI 10.1353/CRB.2012.0020
   Thompson V, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37554-1
   THORSELL JW, 1990, ENVIRON CONSERV, V17, P14, DOI 10.1017/S0376892900017240
   Timpane-Padgham BL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173812
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Ver Hoef JM, 2018, ECOL MONOGR, V88, P36, DOI 10.1002/ecm.1283
   Watson JEM, 2014, NATURE, V515, P67, DOI 10.1038/nature13947
   Wethey DS, 2011, J EXP MAR BIOL ECOL, V400, P132, DOI 10.1016/j.jembe.2011.02.008
   Williams P, 2005, CONSERV BIOL, V19, P1063, DOI 10.1111/j.1523-1739.2005.00080.x
   Yu XL, 2022, BIOL CONTROL, V174, DOI 10.1016/j.biocontrol.2022.105028
NR 78
TC 0
Z9 0
U1 6
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD AUG
PY 2024
VL 38
IS 4
DI 10.1111/cobi.14251
EA MAR 2024
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA ZJ2Q8
UT WOS:001181792800001
PM 38462849
OA hybrid
DA 2025-01-10
ER

PT J
AU Long, JB
   Yao, L
   Jiang, HY
AF Long, Jibo
   Yao, Lun
   Jiang, Hanyu
TI Heat load-carrying capacity of surface water source and its heating load
   matching characteristics
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Solar radiation; Surface water; Thermal regeneration capacity; Heating
ID PUMP SYSTEM; PERFORMANCE; DESIGN; MODEL
AB Meteorological parameter changes not only affect the heat load-carrying capacity of the surface water, but also affect the heat load demand of the building, thus changing the heat load matching between the water source heat pump system and the users. In order to study the climatic adaptation of the heat load-carrying capacity, this paper establishes an analytical model of the water body's heat load-carrying capacity and the building's heat load with the solar radiation intensity, the change of the water body and the heat extraction time as variables. Experimental and simulation studies on the heat load-carrying capacity of lake water were carried out under the winter climate conditions in hot summer and cold winter areas. The results show that increasing the depth or area of the lake can improve the heat load-carrying capacity. Solar radiation is an important factor affecting the temperature of surface water body, the stronger the solar radiation the greater the temperature rise of the water body. Changes in outdoor air temperature have a significant impact on water temperature, and a sudden drop in outdoor air temperature will result in a sharp drop in water temperature. When the water body area was 3000 m2 and 50000 m2, the maximum integrated temperature drop of the water body was 15.0 degrees C and 9.7 degrees C, which was 2.02 and 4.85 times of the temperature drop of heat extraction, respectively. Reduced heat load-carrying ca-pacity of the surface water body or decreased COP of the heat pump is an important reason why the surface water source heat pump heat supply fails to meet the user's heat demand in winter.
C1 [Long, Jibo; Yao, Lun; Jiang, Hanyu] Xiangtan Univ, Sch Civil Engn, Xiangtan 411105, Peoples R China.
C3 Xiangtan University
RP Long, JB (corresponding author), Xiangtan Univ, Sch Civil Engn, Xiangtan 411105, Peoples R China.
EM longjibo2010@126.com
RI Jiang, Hanyu/IQV-6840-2023
FU Natural Science Foundation Program of Hunan Province [2023JJ30586]
FX This work was supported by the Natural Science Foundation Program of
   Hunan Province [Grant No. 2023JJ30586] .
CR [Anonymous], 2002, GB3838-2002
   Baik YJ, 2014, RENEW ENERG, V65, P236, DOI 10.1016/j.renene.2013.09.021
   Caissie D, 2007, J HYDROL, V336, P303, DOI 10.1016/j.jhydrol.2007.01.008
   Chen X., 2010, J. Sol. Energy, V31, P1452
   Chen X, 2006, APPL THERM ENG, V26, P2255, DOI 10.1016/j.applthermaleng.2006.03.009
   Deng N, 2017, APPL ENERG, V205, P577, DOI 10.1016/j.apenergy.2017.07.104
   Fan Y, 2009, Research on water heat transfer and system performance of open water source heat pump in lake reservoir pond
   Gaudard A, 2019, RENEW ENERG, V134, P330, DOI 10.1016/j.renene.2018.10.095
   Liu B., 2015, Renew. Energy, V33, P572
   Long JB, 2023, RENEW ENERG, V207, P286, DOI 10.1016/j.renene.2023.03.046
   Lund R, 2016, ENERGY, V110, P129, DOI 10.1016/j.energy.2015.12.127
   Lv N, 2015, PROCEDIA ENGINEER, V121, P1880, DOI 10.1016/j.proeng.2015.09.170
   Mercado-Bettín D, 2021, WATER RES, V201, DOI 10.1016/j.watres.2021.117286
   She XH, 2018, APPL ENERG, V232, P157, DOI 10.1016/j.apenergy.2018.09.067
   Wang JJ, 2022, ENERG BUILDINGS, V260, DOI 10.1016/j.enbuild.2022.111952
   Wang Y, 2012, ENERG BUILDINGS, V51, P93, DOI 10.1016/j.enbuild.2012.04.013
   Xinbo J, 2018, Research on heat carrying characteristics of surface water bodies in hot summer and cold winter regions and its application of water source heat pump system
   Yu HL, 2022, APPL THERM ENG, V213, DOI 10.1016/j.applthermaleng.2022.118688
   Yu ZY, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122689
   Zhan PF, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128958
   Zhang Q., 2015, Technol. Innov. Appl, V4, P158
   Zhao J., 2016, Refrig. Air Condition. (Sichuan), V30, P191
   Zou SH, 2017, APPL THERM ENG, V112, P201, DOI 10.1016/j.applthermaleng.2016.10.081
NR 23
TC 4
Z9 4
U1 0
U2 3
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD NOV 1
PY 2023
VL 298
AR 113594
DI 10.1016/j.enbuild.2023.113594
EA SEP 2023
PG 15
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA W0JP2
UT WOS:001088581200001
DA 2025-01-10
ER

PT J
AU Montes, C
   Urfels, A
   Han, EJ
   Balwinder-Singh
AF Montes, Carlo
   Urfels, Anton
   Han, Eunjin
   Balwinder-Singh
TI Planting Rice at Monsoon Onset Could Mitigate the Impact of Temperature
   Stress on Rice-Wheat Systems of Bihar, India
SO ATMOSPHERE
LA English
DT Article
DE South Asian monsoon; rainy season; TIMESAT; APSIM; crop modeling;
   climate adaptation
ID CROPPING SYSTEMS; APSIM; YIELD; MODEL; VARIABILITY; STABILITY; WESTERN
AB The rice-wheat rotation is the dominant cropping system in Bihar, where food security of the rural population depends heavily on the production of rice and wheat. In Bihar, farmers plant rice after the first significant rains, and climatic shocks induced by low temperatures and terminal heat stress at the end of the corresponding season can significantly affect rice and wheat yields. The present work evaluates the benefit of using an earlier date for planting rice, following the monsoon onset, in reducing thermal stress on rice-wheat systems. High-resolution gridded crop simulations using the APSIM model were performed to simulate potential yields using the monsoon onset and the farmers' practice as planting dates. The monsoon onset was calculated using an agronomic definition, and farmers' practice dates were estimated using satellite data. The results were analyzed in terms of planting dates, yields, and the incidence of temperature stress on rice and wheat by means of the APSIM yields limiting factors. The results show that the rice planting and harvest dates using the monsoon onset are, in general, 20-30 days earlier, which translates into higher and more stable potential yields, which can be up to 50% higher in wheat and 29% in rice. The incidence of thermal stress can be, on average, 12% lower in rice and 25% in wheat. These results can help design mitigation strategies for the impacts of temperature-induced shock events in the context of the advances in sub-seasonal and seasonal forecasting, targeting climate services for farmers in Bihar.
C1 [Montes, Carlo] Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco 56237, Mexico.
   [Urfels, Anton] Int Maize & Wheat Improvement Ctr CIMMYT, Kathmandu 44700, Nepal.
   [Han, Eunjin] USDA, Agr Res Serv, Adapt Cropping Syst Lab, Beltsville, MD 20705 USA.
   [Balwinder-Singh] Dept Primary Ind & Reg Dev, Northam 6401, Australia.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT); United States
   Department of Agriculture (USDA); Department of Primary Industries &
   Regional Development NSW
RP Montes, C (corresponding author), Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco 56237, Mexico.
EM c.montes@cgiar.org
RI Singh, Balwinder/R-9998-2019; Montes, Carlo/B-6727-2013; ,
   Balwinder-Singh/F-3063-2011; Han, Eunjin/G-4121-2013
OI Montes, Carlo/0000-0003-4828-5589; ,
   Balwinder-Singh/0000-0002-6715-2207; Han, Eunjin/0000-0001-6208-7410
FU CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS); CGIAR Regional Integrated Initiative Transforming Agrifood
   Systems in South Asia; TAFSSA; CGIAR Foresight and Metrics to Accelerate
   Inclusive and Sustainable Agrifood System Transformation initiative
FX This study was supported by the CGIAR Research Program on Climate
   Change, Agriculture and Food Security (CCAFS; https://ccafs.cgiar.org;
   accessed on 1 December 2022), by the CGIAR Regional Integrated
   Initiative Transforming Agrifood Systems in South Asia, or TAFSSA
   (https://www.cgiar.org/initiative/20-transforming-agrifood-systems-in-so
   uth-asia-tafssa/; accessed on 1 December 2022), and by the CGIAR
   Foresight and Metrics to Accelerate Inclusive and Sustainable Agrifood
   System Transformation initiative
   (https://www.cgiar.org/initiative/24-foresight-and-metrics-to-accelerate
   -inclusive-andsustainable-agrifood-system-transformation/; ac-cessed on
   1 December 2022).
CR [Anonymous], 2019, BIH STAT HDB 2019
   [Anonymous], 2008, Harmonized world soil database
   [Anonymous], 2003, P 11 AUSTR AGR C GEE
   Arshad MS, 2017, PLANT PHYSIOL BIOCH, V115, P57, DOI 10.1016/j.plaphy.2017.03.011
   Balboa GR, 2019, AGR SYST, V174, P145, DOI 10.1016/j.agsy.2019.04.008
   Balwinder S., 2020, NAT SUSTAIN, V3, P972, DOI [DOI 10.1038/s41893-019-0304-4, 10.1038/s41893-019-0304-4, 10.1038/s41893-020-00632-z]
   Balwinder-Singh E., 2016, FIELD CROP RES, V197, P83, DOI [DOI 10.1016/j.fcr.2016.08.016, 10.1016/j.fcr.2016.08.016]
   Barlow KM, 2015, FIELD CROP RES, V171, P109, DOI 10.1016/j.fcr.2014.11.010
   Becker EJ, 2022, B AM METEOROL SOC, V103, pE973, DOI 10.1175/BAMS-D-20-0327.1
   Bhatla R, 2020, THEOR APPL CLIMATOL, V142, P151, DOI 10.1007/s00704-020-03284-3
   Bhatt R, 2019, SUSTAINABLE MANAGEMENT OF SOIL AND ENVIRONMENT, P29, DOI 10.1007/978-981-13-8832-3_2
   Calderini DF, 1998, FIELD CROP RES, V57, P335, DOI 10.1016/S0378-4290(98)00080-X
   Dubey R, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102826
   Elliott J, 2014, ENVIRON MODELL SOFTW, V62, P509, DOI 10.1016/j.envsoft.2014.04.008
   Erenstein O, 2011, AGR SYST, V104, P42, DOI 10.1016/j.agsy.2010.09.004
   Fitzpatrick RGJ, 2016, GEOPHYS RES LETT, V43, P11867, DOI 10.1002/2016GL070711
   Fitzpatrick RGJ, 2015, J CLIMATE, V28, P8673, DOI 10.1175/JCLI-D-15-0265.1
   Folberth C, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11872
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gaydon DS, 2017, FIELD CROP RES, V204, P52, DOI 10.1016/j.fcr.2016.12.015
   Gaydon DS, 2012, EUR J AGRON, V39, P9, DOI 10.1016/j.eja.2012.01.003
   He YQ, 2017, REMOTE SENS ENVIRON, V199, P201, DOI 10.1016/j.rse.2017.07.010
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hoda A., 2021, Revitalizing Indian Agric Boosting Farmer Incomes, P211, DOI 10.1007/978-981-15-9335-2_8
   Huffman GJ, 2007, J HYDROMETEOROL, V8, P38, DOI 10.1175/JHM560.1
   Ishtiaque A, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.151671
   Jönsson P, 2004, COMPUT GEOSCI-UK, V30, P833, DOI 10.1016/j.cageo.2004.05.006
   Kaskaoutis DG, 2014, J GEOPHYS RES-ATMOS, V119, P5424, DOI 10.1002/2013JD021357
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Lopez-Ridaura S, 2018, AGR SYST, V159, P57, DOI 10.1016/j.agsy.2017.09.007
   Marteau R, 2009, J CLIMATE, V22, P1313, DOI 10.1175/2008JCLI2383.1
   McCown RL, 1996, AGR SYST, V50, P255, DOI 10.1016/0308-521X(94)00055-V
   McDonald AJ, 2022, NAT FOOD, V3, P542, DOI 10.1038/s43016-022-00549-0
   Montes C, 2021, ATMOS SCI LETT, V22, DOI 10.1002/asl.1069
   Moron V, 2014, INT J CLIMATOL, V34, P1050, DOI 10.1002/joc.3745
   Nahar K, 2009, Acad J Plant Sci, V2, P132
   Pan NQ, 2018, REMOTE SENS ENVIRON, V214, P59, DOI 10.1016/j.rse.2018.05.018
   Pinzon JE, 2014, REMOTE SENS-BASEL, V6, P6929, DOI 10.3390/rs6086929
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   Ruane AC, 2021, AGR FOREST METEOROL, V300, DOI 10.1016/j.agrformet.2020.108313
   Sahu N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177023
   Sekar I., 2012, Indian Journal of Agricultural Economics, V67, P238
   Shangguan W, 2014, J ADV MODEL EARTH SY, V6, P249, DOI 10.1002/2013MS000293
   Singh A.K., 2020, NEW FRONTIERS AGR EX, V2
   Srivastava P, 2015, EARTH-SCI REV, V140, P54, DOI 10.1016/j.earscirev.2014.10.010
   Stiller-Reeve MA, 2015, B AM METEOROL SOC, V96, P49, DOI 10.1175/BAMS-D-13-00144.1
   Subash N, 2013, THEOR APPL CLIMATOL, V111, P235, DOI 10.1007/s00704-012-0665-3
   Teixeira EI, 2013, AGR FOREST METEOROL, V170, P206, DOI 10.1016/j.agrformet.2011.09.002
   Tesfaye K, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9111998
   White CJ, 2017, METEOROL APPL, V24, P315, DOI 10.1002/met.1654
   Xiao DP, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041277
NR 52
TC 2
Z9 2
U1 5
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD JAN
PY 2023
VL 14
IS 1
AR 40
DI 10.3390/atmos14010040
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 8B5AH
UT WOS:000916934600001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Ngo, CC
   Poortvliet, PM
   Klerkx, L
AF Chinh Cong Ngo
   Poortvliet, P. Marijn
   Klerkx, Laurens
TI The persuasiveness of gain vs. loss framed messages on farmers'
   perceptions and decisions to climate change: A case study in coastal
   communities of Vietnam
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change; Gain vs. loss framing; Construal level; Farmers;
   Adaptation
ID CONSTRUAL-LEVEL THEORY; PSYCHOLOGICAL DISTANCE; CHANGE COMMUNICATION;
   PUBLIC ENGAGEMENT; FEAR APPEALS; BEHAVIOR; CHALLENGES; INTENTIONS;
   EFFICACY; FUTURE
AB Ongoing climate change results in a large increase in damaging climatic events that affect people's health, environment, biodiversity, and food security. One of the most vulnerable sectors to climate change is agriculture because farming relies heavily on planning for weather and seasons according to experience of past years, and therefore changes in seasons and unusual weather patterns lead to loss of crops or livestock. Responding to climate change impacts requires both mitigation and adaptation, in which communication plays an important role to raise awareness, change behaviours and gain policy support. Gain vs. loss message framing has been extensively studied in persuasive communication. Despite successful examples in risk communication, the effect of gain vs. loss message framing method in communicating climate change, a psychologically distant risk, is still not well understood. This study combines message persuasiveness with psychological distance to develop messages to encourage farmers on climate adaptation. We applied a 2 x 2 factorial design (gain/loss and abstract/concrete framed messages) and conducted the research in a coastal farming community (N = 368). Findings confirm that gain-framed messages are more effective in raising risk perceptions and efficacy, with stronger impact on behavioural intentions toward climate change, compared to loss-framed messages. Above all, farmers were more willing to take adaptation measures when exposed to gain- in combination with concrete-framed messages vs. loss- and abstract-framed. Implications for climate change communication research and practice are discussed.
C1 [Chinh Cong Ngo] AMDI, Asian Management & Dev Inst, Res Ctr Disaster Risk Reduct & Climate Change, Trinh Van Bo St Xuan Phuong Ward, Hanoi 10000, Vietnam.
   [Chinh Cong Ngo; Poortvliet, P. Marijn] Wageningen Univ, Strateg Commun Grp, Wageningen, Netherlands.
   [Klerkx, Laurens] Wageningen Univ, Knowledge Technol & Innovat Grp, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Poortvliet, PM (corresponding author), Wageningen Univ, Strateg Commun Grp, Wageningen, Netherlands.
EM chinhnc@amdi.vn; marijn.poortvliet@wur.nl; laurens.klerkx@wur.nl
RI Klerkx, Laurens/ABD-4957-2021
OI Klerkx, Laurens/0000-0002-1664-886X
FU International Development Research Centre (IDRC) [106707-001]
FX This paper is based on PhD research funded by the International
   Development Research Centre (IDRC) under Grant number 106707-001. We
   would like to thank research teams from the Asian Management and
   Development Institute (AMDI) and the local government of Quy Nhon City,
   Binh Dinh Province, Vietnam, the community leaders and especially
   participating farmers.
CR ADAMS RM, 1995, CLIMATIC CHANGE, V30, P147, DOI 10.1007/BF01091839
   Ahn SJ, 2015, COMMUN RES, V42, P839, DOI 10.1177/0093650214534973
   [Anonymous], 2017, FAO-IPCC Expert Meeting on Climate Change, Land Use and Food Security, DOI [DOI 10.1038/EMBOR.2009.27, 10.1038/embor.2009.27]
   [Anonymous], 2016, 2016 The State of Food and Agriculture: Climate Change, Agriculture and Food Security, DOI DOI 10.1093/NQ/S8-IV.94.301-A
   Apanovitch AM, 2003, HEALTH PSYCHOL, V22, P60, DOI 10.1037/0278-6133.22.1.60
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Asplund T., 2018, International Journal of Climate Change: Impacts and Responses, V10, P23, DOI 10.18848/1835-7156/CGP/v10i01/23-38
   Bertolotti M, 2014, EUR J SOC PSYCHOL, V44, P474, DOI 10.1002/ejsp.2033
   Brown S, 1995, CLIMATE CHANGE 1995
   Brügger A, 2016, J ENVIRON PSYCHOL, V46, P125, DOI 10.1016/j.jenvp.2016.04.004
   DeGolia AH, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0220320
   Detweiler JB, 1999, HEALTH PSYCHOL, V18, P189, DOI 10.1037/0278-6133.18.2.189
   Dickinson JL, 2013, J ENVIRON EDUC, V44, P145, DOI 10.1080/00958964.2012.742032
   Dijkstra A, 2011, PSYCHOL HEALTH, V26, P1036, DOI 10.1080/08870446.2010.526715
   Eitzinger A, 2018, CLIMATIC CHANGE, V151, P507, DOI 10.1007/s10584-018-2320-1
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Gaurav S, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100201
   Global Facility for Disaster Reduction and Recovery, 2011, CLIM RISK AD COUNTR
   Jacobs Claire, 2019, EEA Report
   Jones C, 2017, RISK ANAL, V37, P331, DOI 10.1111/risa.12601
   KAHNEMAN D, 1984, AM PSYCHOL, V39, P341, DOI 10.1037/0003-066X.39.4.341
   Lauckner C, 2012, COMMUN Q, V60, P1, DOI 10.1080/01463373.2012.642269
   Leal W, 2019, CLIM CHANG MANAG, P1, DOI 10.1007/978-3-319-98294-6_1
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Liverpool-Tasie LSO, 2019, CLIMATIC CHANGE, V157, P527, DOI 10.1007/s10584-019-02574-8
   Lord K.R., 1994, PSYCHOL MARKET, V11, P341, DOI DOI 10.1002/MAR.4220110404
   Maloney EK, 2011, SOC PERSONAL PSYCHOL, V5, P206, DOI 10.1111/j.1751-9004.2011.00341.x
   Meijers MHC, 2019, ENVIRON COMMUN, V13, P995, DOI 10.1080/17524032.2018.1544160
   MEYEROWITZ BE, 1987, J PERS SOC PSYCHOL, V52, P500, DOI 10.1037/0022-3514.52.3.500
   MONRE, 2016, KICH BAN BIEN DOI KH
   Morrison Mark, 2017, COMMUNICATING CLIMAT, DOI [10.1093/acrefore/9780190228620.013.415, DOI 10.1093/ACREFORE/9780190228620.013.415]
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P1, DOI 10.1017/CBO9780511535871
   Moser SC, 2012, OXFORD HDB CLIMATE C, DOI [10.1093/oxfordhb/9780199566600.003.0011, DOI 10.1093/OXFORDHB/9780199566600.003.0011]
   Moser SC, 2016, WIRES CLIM CHANGE, V7, P345, DOI 10.1002/wcc.403
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Ngo CC, 2020, WATER-SUI, V12, DOI 10.3390/w12113016
   Ngo CC, 2020, J RISK RES, V23, P424, DOI 10.1080/13669877.2019.1591484
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Nisbet MC, 2007, SCIENCE, V316, P56, DOI 10.1126/science.1142030
   Peltonen-Sainio P, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100205
   Raymond CM, 2013, J ENVIRON MANAGE, V115, P69, DOI 10.1016/j.jenvman.2012.11.003
   Regasa D. T., 2019, Eur. Rev. Appl. Sociol, V12, P49, DOI [10.1515/eras-2019-0010, DOI 10.1515/ERAS-2019-0010]
   Reser J P., 2017, Oxford Research Encyclopedia of Climate Science, DOI DOI 10.1093/ACREFORE/9780190228620.013.386
   Rothman AJ, 1997, PSYCHOL BULL, V121, P3, DOI 10.1037/0033-2909.121.1.3
   Shafiei A, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e00908
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Tatarski M., 2018, NEW CLIMATE CHANGE R
   Tran Duc Vien Tran Duc Vien, 2011, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V17, P17
   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
   van der Linden S, 2015, PERSPECT PSYCHOL SCI, V10, P758, DOI 10.1177/1745691615598516
   Wang YD, 2019, J ENVIRON MANAGE, V237, P15, DOI 10.1016/j.jenvman.2019.02.070
   White K, 2011, J MARKETING RES, V48, P472, DOI 10.1509/jmkr.48.3.472
   WILSON D K, 1988, Health Education Research, V3, P161, DOI 10.1093/her/3.2.161
   WITTE K, 1992, COMMUN MONOGR, V59, P329, DOI 10.1080/03637759209376276
   Zwickle Adam., 2013, Effective Risk Communication, P1
NR 58
TC 12
Z9 12
U1 6
U2 44
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 100409
DI 10.1016/j.crm.2022.100409
EA FEB 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 2P7RD
UT WOS:000819932300005
OA gold
DA 2025-01-10
ER

PT J
AU Bauer, C
   Fekete, A
   Kühne, S
   Baufeld, P
AF Bauer, Carlotta
   Fekete, Alexander
   Kuhne, Stefan
   Baufeld, Peter
TI Assessment of climate change-induced hazard potential of locusts
   (Acrididae) as pest for future German agriculture
SO JOURNAL FUR KULTURPFLANZEN
LA German
DT Article
DE Crop Pest; Climate Change; Locusts; CLIMEX; Species Distribution Model;
   Calliptamus italicus; Locusta migratoria; Dociostaurus maroccanus
ID CALLIPTAMUS-ITALICUS L.; ORTHOPTERA; DIAPAUSE
AB Climate change favors the establishment of new pests in Germany, which now find suitable habitats here due to the changed climate. Field locusts occur repeatedly as agricultural pests in southern European countries. Therefore, it is investigated whether the climate change-induced northward shift of warmer zones can create climatically suitable habitats for field locusts in Germany and whether agricultural areas can be affected by this. The CLIMEX software is used to model the possible distribution of the Italian locust (Calliptamus italicus (L., 1758)), the Moroccan locust (Dociostaurus maroccanus (Thunberg, 1815)) and the Migratory locust (Locusta migratoria (L., 1758)) for 20 locations in Germany in six scenarios. These result from the combination of the two observation periods 2021 - 2050 and 2071 - 2100 with the three climate projections RCP2.6, RCP4.5 and RCP8.5. Based on the study, C. italicus is expected to spread widely in Germany, whereas D. maroccanus and L. migratoria might form only small and local populations. Locust swarms can potentially threaten crop products on around 10 - 25% of the agricultural area in Germany at the sites considered, but are unlikely to occur, since the intensive use of grassland areas provides insufficient conditions for reproduction. The creation of lager fallow areas as part of environmental protection and climate adaptation measures could change this in the future. In addition, swarm formation in neighbouring countries and possible migration routes to Germany should be investigated. Furthermore, the development of concepts for prevention and intervention in the event of a locust invasion is recommended. Overall, however, a low risk potential of field locusts for German agriculture is currently assumed.
C1 [Bauer, Carlotta; Fekete, Alexander] Tech Hsch Koln, Inst Rettungsingenieurwesen & Gefahrenabwehr, Cologne, Germany.
   [Kuhne, Stefan] Julius Kuhn Inst JKI, Inst Strategien & Folgenabschatzung, Bundesforschungsinst Kulturpflanzen, Kleinmachnow, Germany.
   [Baufeld, Peter] Julius Kuhn Inst JKI, Inst Natl & Int Angelegenheiten Pflanzengesundhei, Bundesforschungsinst Kulturpflanzen, Kleinmachnow, Germany.
C3 Julius Kuhn-Institut; Julius Kuhn-Institut
RP Kühne, S (corresponding author), Julius Kuhn Inst JKI, Inst Strategien & Folgenabschatzung, Bundesforschungsinst Kulturpflanzen, Stahnsdorfer Damm 81, D-14532 Kleinmachnow, Germany.
CR [Anonymous], 2002, Gefahrdungsanalyse der Heuschrecken Deutschlands: Verbreitungsatlas, Gefahrdungseinstufung und Schutzkonzepte
   Aragón P, 2012, AGR FOREST ENTOMOL, V14, P13, DOI 10.1111/j.1461-9563.2011.00532.x
   Araújo MB, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4858
   Asplen MK, 2015, J PEST SCI, V88, P469, DOI 10.1007/s10340-015-0681-z
   Bauer C, 2021, Klimawandelinduziertes Gefahrenpotential von Feldheuschrecken (Acrididae) als Schadlinge fur die deutsche Landwirtschaft
   Beddow J.M., 2010, Potential Global Crop Pest Distributions Using CLIMEX: HarvestChoice Applications
   Borries J., 1995, Articulata, V10
   Bundesamt fur Bevolkerungsschutz und Katastrophenhilfe (BBK) Wissenschaftsforum., 2019, Wissenschaftsforum Band 9: Schutz Kritischer Infrastrukturen-Studie zur Versorgungssicherheit mit Lebensmitteln
   Bundesamt fur Kartographie und Geodasie, 2020, Neues im Bereich Open Data-CORINE Land Cover 5 ha (CLC5)
   Bundesamt fur Naturschutz, 2021, Anteil der Landwirtschaftsflachen mit hohem Naturwert (High Nature Value Farmland) an der gesamten Agrarlandschaftsflache
   Byeon DH, 2018, J ASIA-PAC BIODIVERS, V11, P325, DOI 10.1016/j.japb.2018.06.002
   CABI, 2022, Locusta migratoria (migratory locust)
   Caminade C, 2012, J R SOC INTERFACE, V9, P2708, DOI 10.1098/rsif.2012.0138
   Carlone M., 2020, There's nothing left'-Sardinian farmland stripped by locust swarms
   Chen CL, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213593
   Chen J, 2020, FEBS OPEN BIO, V10, P707, DOI 10.1002/2211-5463.12825
   Deutsche Welle, 2021, Worst invasion of locusts in 60 years hits Sardinia | DW | 11.06.2019
   Deutscher Bundestag, 2019, Bericht zur Risikoanalyse im Bevolkerungsschutz 2018, P144
   DGfO, 2021, Heuschrecken und Fangschrecken
   FAO, 2021, Asian Migratory Locust (LMI) | Locust Watch in Caucasus and Central Asia
   FAO, 2021, Moroccan Locust (DMA) | Locust Watch in Caucasus and Central Asia
   FAO, 2004, Locusts in Canary Islands and Portugal
   FAO, 2021, Distribution areas in CCA | Locust Watch in Caucasus and Central Asia
   Fischer J., 2020, HEUSCHRECKEN DEUTSCH
   Frankfurter Allgemeine Zeitung, 2005, Beeindruckende Insektenwolken
   GADM, 2015, Administrative Grenzen Deutschlands-Bundeslander
   GeoBasis-DE, 2018, CORINE Land Cover 5 ha, Stand 2018
   Helmholtz-Zentrum Geesthacht, 2021, Regionaler Klimaatlas Deutschland
   Helmholtz-Zentrum hereon GmbH, 2021, About EURO-CORDEX
   Hochkirch A., 2016, Luxembourg, V94
   Hu AX, 2016, NAT CLIM CHANGE, V6, P290, DOI [10.1038/nclimate2843, 10.1038/NCLIMATE2843]
   Kohler G., 2002, Abhandlungen und Berichte des Museums der Natur Gotha, P141
   Kriticos D.J., 2015, CLIMEX Version 4: Exploring the effects of climate on plants, animals and diseases, P177
   Latchininsky AV, 2013, J APPL REMOTE SENS, V7, DOI 10.1117/1.JRS.7.075099
   Latchininsky AV, 1998, J INSECT CONSERV, V2, P167, DOI 10.1023/A:1009639628627
   Magor J.I., 2003, Desert Locust Technical Series: Desert Locust Population Parameters, P35
   Malakhov D. V, 2018, Russian Journal of Ecosystem Ecology, V3, P1, DOI 10.21685/2500-0578-2018-1-5
   Malakhov D.V., 2020, Biosis:Biological Systems, V1, P08, DOI [10.37819/biosis.001.01.0048, DOI 10.37819/BIOSIS.V1I1.48]
   Medina Hector E., 2017, Metaleptea, V37, P17
   Nik N., 2020, EURASIA J BIOSCI, P4337
   Oberhessische Presse, 2015, Heuschreckenplage nach Hitzewelle
   Olfert O., 2011, Locusts and Grasshoppers: Behavior, Ecology, and Biogeography, DOI [10.1155/2011/578327, DOI 10.1155/2011/578327]
   Peschel T., 2019, Solar-parks-Gewinne fur die Biodiversitat, P73
   Pointe E., 2021, Seychelles Nation
   Poniatowski D, 2020, GLOBAL ECOL BIOGEOGR, V29, P2190, DOI 10.1111/geb.13188
   Popova EN, 2016, RUSS METEOROL HYDRO+, V41, P213, DOI 10.3103/S1068373916030079
   Qin Y, 2013, IFIP Advances in Information and Communication Technolo- gy, V393, P290, DOI [10.1007/978-3-642-36137-1, DOI 10.1007/978-3-642-36137-1]
   Rai A.N., 2020, International Journal of Agriculture System, V8, P140
   Ren JL, 2016, J ASIA-PAC ENTOMOL, V19, P203, DOI 10.1016/j.aspen.2015.12.016
   Renner K., 2021, Klimawirkungsund Risikoanalyse fur Deutschland 2021: Klimarisiken im Cluster Land, V339
   Rohr C, 2010, Umweltgeschichte in globaler Perspektive, V36
   Rutschmann F., 2021, Orthoptera.ch-Locusta migratoria
   Rutschmann F., 2021, Orthoptera.ch-Calliptamus italicus
   Salih AAM, 2020, NAT CLIM CHANGE, V10, P584, DOI 10.1038/s41558-020-0835-8
   Santiago-Alvarez C, 2003, J APPL ENTOMOL, V127, P369, DOI 10.1046/j.1439-0418.2003.00768.x
   Simpson SJ, 2008, CURR BIOL, V18, pR364, DOI 10.1016/j.cub.2008.02.029
   Solter LF, 2012, INSECT PATHOLOGY, 2ND EDITION, P221, DOI 10.1016/B978-0-12-384984-7.00007-5
   Steedman A., 1990, LOCUST HDB
   Stolyarov M.V, 2000, Articulata, V15
   TANAKA H, 1994, APPL ENTOMOL ZOOL, V29, P179, DOI 10.1303/aez.29.179
   Tarai N., 2009, Advances in Environmental Biology, V3, P308
   Thuringer Ministerium fur Landwirtschaft Forsten Umwelt und Naturschutz., 2013, Steppenlebensraume Europas: Gefahrdung, Erhaltungsmassnahmen und Schutz
   Treiber R., 2011, Naturschutz sudl. Oberrhein, V6, P151
   Tscharntke T, 2021, Bedeutung einer vielfaltigen und kleinteiligen Agrarstruktur 2 fur die Biodiversitat und ihre Forderung im Rahmen der 3 Gemeinsamen Europaischen Agrarpolitik (GAP): Studie im Auftrag der Fraktion B90/Grune im Deutschen Bundestag
   Tu X., 2013, COMPUTER COMPUTING T, P343, DOI [10.1007/978-3-642-36137-1, DOI 10.1007/978-3-642-36137-1]
   Umweltbundesamt, 2015, Vulnerabilitat Deutschlands gegenuber dem Klimawandel, P689
   Umweltbundesamt, 2017, Leitfaden fur Klimawirkungsund Vulnerabilitatsanalysen: Empfehlungen der Interministeriellen Arbeitsgruppe Anpassung an den Klimawandel der Bundesregierung, P48
   van der Voo L, 2021, The Guardian
   Warren R, 2011, CLIMATIC CHANGE, V106, P141, DOI 10.1007/s10584-010-9923-5
   Wiese A., 2020, Mainzer naturwiss. Archiv, V56, P243
   Yang Y Tony, 2016, Prev Med Rep, V4, P444, DOI 10.1016/j.pmedr.2016.07.011
   Yu G, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD011833
   zur Strassen O, 1926, Brehms Tierleben: Allgemeine Runde des Tierreichs
NR 73
TC 3
Z9 3
U1 3
U2 7
PU Julius Kuhn Inst - JKI
PI Quedlinburg
PA Erwin-Baur-Str. 27, Quedlinburg, GERMANY
SN 1867-0911
EI 1867-0938
J9 J KULT
JI J. Kult.
PY 2022
VL 74
IS 7-8
BP 153
EP 165
DI 10.5073/JfK.2022.07-08.01
PG 13
WC Agronomy; Plant Sciences
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Plant Sciences
GA T5IU1
UT WOS:001078329600001
DA 2025-01-10
ER

PT J
AU Soh, S
   Loo, LH
   Jamali, N
   Maiwald, M
   Aik, J
AF Soh, Stacy
   Loo, Liat Hui
   Jamali, Natasha
   Maiwald, Matthias
   Aik, Joel
TI Climate variability and seasonal patterns of paediatric parainfluenza
   infections in the tropics: An ecological study in Singapore
SO INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
LA English
DT Article
DE Parainfluenza virus; Paediatric; Time series; Singapore; Climate
   variability
ID RESPIRATORY-TRACT INFECTIONS; VIRAL-INFECTIONS; VIRUSES; TRENDS;
   EPIDEMIOLOGY
AB Objectives: Evidence of the relationship between climate variability, air pollution and human parainfluenza virus (HPIV) infections has been inconsistent. We assessed this in a paediatric population from a highly urbanized tropical city-state. Methods: We analysed all reports of HPIV infections in children <5 years old obtained from a major specialist women and children's hospital in Singapore. Assuming a negative binomial distribution and using multivariable fractional polynomial modelling, we examined the relations between climate variability, air quality and the risk of HPIV infections, adjusting for time-varying confounders. Results: We identified 6393 laboratory-confirmed HPIV infections from 2009 to 2019. Every 1 <degrees>C decline in temperature was associated with a 5.8% increase (RR: 0.943, 95% Confidence Interval [95% CI]: 0.903-0.984) in HPIV infection risk 6 days later. Every 10% decrease in relative humidity was associated with a 15.8% cumulative increase in HPIV risk over the next 6 days (cumulative RR: 0.842, 95% CI: 0.771-0.919). Rainfall was positively associated with HPIV risk 2 days later (RR: 1.021, 95% CI: 1.000-1.043). A within-year seasonal rise of HPIV was driven by HPIV-3 and HPIV-1 and preceded by a seasonal decline in temperature. Gender was an effect modifier of the climate-HPIV relationship. Air quality was not associated with HPIV risk. Conclusions: This study demonstrates a close association between HPIV infection risk and tropical climate variability. The climate dependence and seasonal predictability of HPIV can inform the timing of community campaigns aimed at reducing infection risk and the development of hospital resources and climate adaption plans.
C1 [Soh, Stacy; Aik, Joel] Natl Environm Agcy, Environm Epidemiol & Toxicol Div, 40 Scotts Rd,Environm Bldg 13-00, Singapore 228231, Singapore.
   [Loo, Liat Hui; Maiwald, Matthias] KK Womens & Childrens Hosp, Dept Pathol & Lab Med, 100 Bukit Timah Rd, Singapore 229899, Singapore.
   [Loo, Liat Hui; Maiwald, Matthias] Duke NUS Grad Med Sch, 8 Coll Rd, Singapore 169857, Singapore.
   [Jamali, Natasha] Natl Environm Agcy, Environm Monitoring & Modelling Div, 40 Scotts Rd 13-00, Singapore 228231, Singapore.
   [Maiwald, Matthias] Yong Loo Lin Sch Med, Dept Microbiol & Immunol, NUHS Tower Block,1E Kent Ridge Rd Level 11, Singapore 119228, Singapore.
   [Aik, Joel] Duke NUS Med Sch, Prehosp & Emergency Res Ctr, 8 Coll Rd, Singapore 169857, Singapore.
C3 KK Women's & Children's Hospital; National University of Singapore;
   National University of Singapore; National University of Singapore
RP Aik, J (corresponding author), Natl Environm Agcy, Environm Epidemiol & Toxicol Div, 40 Scotts Rd,Environm Bldg 13-00, Singapore 228231, Singapore.
EM stacy_soh@nea.gov.sg; loo.liat.hui@kkh.com.sg;
   Natasha_Jamali@nea.gov.sg; matthias.maiwald@singhealth.com.sg;
   joel_aik@nea.gov.sg
RI Aik, Joel/AFN-2434-2022; Loo, Liat-Hui/AAS-9179-2020
OI Maiwald, Matthias/0000-0001-5448-8417; Soh, Stacy/0000-0002-4503-7419
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Althouse BM, 2018, INT J INFECT DIS, V75, P18, DOI 10.1016/j.ijid.2018.08.001
   Biofire Diagnostics LLC, BIOF FILM ARR SYST D
   BRADY MT, 1990, AM J INFECT CONTROL, V18, P18, DOI 10.1016/0196-6553(90)90206-8
   Cheon Ji Min, 2019, Korean Journal of Family Practice, V9, P454, DOI 10.21215/kjfp.2019.9.5.454
   Chew FT, 1998, EPIDEMIOL INFECT, V121, P121, DOI 10.1017/S0950268898008905
   du Prel JB, 2009, CLIN INFECT DIS, V49, P861, DOI 10.1086/605435
   Frost HM, 2014, J INFECT DIS, V209, P695, DOI 10.1093/infdis/jit552
   Fry AM, 2006, CLIN INFECT DIS, V43, P1016, DOI 10.1086/507638
   Henrickson KJ, 2003, CLIN MICROBIOL REV, V16, P242, DOI 10.1128/CMR.16.2.242-264.2003
   Khor CS, 2012, BMC PEDIATR, V12, DOI 10.1186/1471-2431-12-32
   KNOTT AM, 1994, PEDIATR INFECT DIS J, V13, P269, DOI 10.1097/00006454-199404000-00005
   Lessler J, 2009, LANCET INFECT DIS, V9, P291, DOI 10.1016/S1473-3099(09)70069-6
   Linster M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24767-4
   Loh TP, 2011, EPIDEMIOL INFECT, V139, P1884, DOI 10.1017/S0950268810002955
   Lowen AC, 2014, J VIROL, V88, P7692, DOI 10.1128/JVI.03544-13
   Fé MMM, 2008, BRAZ J INFECT DIS, V12, P192, DOI 10.1590/S1413-86702008000300006
   Price RHM, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37481-y
   Quidel Corporation, 2021, DOUBL DUET DFA DIR F
   Schmidt AC, 2011, EXPERT REV RESP MED, V5, P515, DOI [10.1586/ers.11.32, 10.1586/ERS.11.32]
   Schomacker H, 2012, CURR OPIN VIROL, V2, P294, DOI 10.1016/j.coviro.2012.02.001
   Seegene Inc, 2021, SEEPL RV15 ONESTEP A
   Sundell N, 2016, J CLIN VIROL, V84, P59, DOI 10.1016/j.jcv.2016.10.005
   Swamy MA, 2016, INDIAN J PEDIATR, V83, P1109, DOI 10.1007/s12098-016-2139-6
   Tang JW, 2009, J R SOC INTERFACE, V6, pS737, DOI 10.1098/rsif.2009.0227.focus
   Weinberg GA, 2006, PEDIATR INFECT DIS J, V25, P447, DOI 10.1097/01.inf.0000218037.83110.c4
   Yamaya M, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01149
   Yan Hua-Jie, 2015, Zhongguo Dang Dai Er Ke Za Zhi, V17, P1297
NR 28
TC 3
Z9 3
U1 0
U2 6
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1438-4639
EI 1618-131X
J9 INT J HYG ENVIR HEAL
JI Int. J. Hyg. Environ. Health.
PD JAN
PY 2022
VL 239
AR 113864
DI 10.1016/j.ijheh.2021.113864
EA OCT 2021
PG 7
WC Public, Environmental & Occupational Health; Infectious Diseases
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health; Infectious Diseases
GA WW9SR
UT WOS:000718247400008
PM 34717184
OA hybrid
DA 2025-01-10
ER

PT J
AU Butaric, LN
   Nicholas, CL
   Kravchuk, K
   Maddux, SD
AF Butaric, Lauren N.
   Nicholas, Christina L.
   Kravchuk, Katherine
   Maddux, Scott D.
TI Ontogenetic variation in human nasal morphology
SO ANATOMICAL RECORD-ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY
   BIOLOGY
LA English
DT Article
DE choana; growth and development; nasal fossa; pediatric otolaryngology;
   respiration
ID MAXILLARY SINUS VOLUME; SEXUAL-DIMORPHISM; AIR-FLOW; MIDFACIAL
   MORPHOLOGY; ECOGEOGRAPHIC VARIATION; CRANIOFACIAL GROWTH; CLIMATIC
   ADAPTATION; FACIAL EVOLUTION; BODY-COMPOSITION; EXTERNAL NOSE
AB Internal nasal cavity morphology has long been thought to reflect respiratory pressures related to heating and humidifying inspired air. Yet, despite the widely recognized importance of ontogeny in understanding climatic and thermoregulatory adaptations, most research on nasal variation in modern and fossil humans focuses on static adult morphology. This study utilizes cross-sectional CT data of three morphologically distinct samples (African, European, Arctic) spanning from infancy to adulthood (total n = 321). Eighteen landmarks capturing external and internal regions of the face and nose were subjected to generalized Procrustes and form-space principal component analyses (separately conducted on global and individual samples) to ascertain when adult-specific nasal morphology emerges during ontogeny. Across the global sample, PC1 (67.18% of the variation) tracks age-related size changes regardless of ancestry, while PC2 (6.86%) differentiates between the ancestral groups irrespective of age. Growth curves tracking morphological changes by age-in-years indicate comparable growth trajectories across all three samples, with the majority of nasal size and shape established early in ontogeny (<5 years of age). Sex-based trends are also evident, with females exhibiting a more truncated growth period than males, particularly for nasal height dimensions. Differences are also evident between the anterior and posterior nose, with the height and breadth dimensions of the anterior nasal aperture and nasal cavity showing differential ontogenetic patterns compared to the choanae. Cumulatively, these results suggest that multiple selective pressures influence human nasal morphology through ontogenetic processes, including metabolic demands for sufficient oxygen intake and climatic demands for adequate intranasal air conditioning.
C1 [Butaric, Lauren N.; Kravchuk, Katherine] Moines Univ, Coll Osteopath Med, Dept Anat, 3200 Grand Ave, Des Moines, IA 30312 USA.
   [Nicholas, Christina L.] Univ Illinois, Dept Orthodont, Chicago, IL USA.
   [Maddux, Scott D.] Univ North Texas, Ctr Anat Sci, Grad Sch Biomed Sci, Hlth Sci Ctr, Ft Worth, TX USA.
C3 University of Illinois System; University of Illinois Chicago;
   University of Illinois Chicago Hospital; University of North Texas
   System; University of North Texas Denton
RP Butaric, LN (corresponding author), Moines Univ, Coll Osteopath Med, Dept Anat, 3200 Grand Ave, Des Moines, IA 30312 USA.
EM lauren.butaric@dmu.edu
RI Butaric, Lauren/AFM-9174-2022
OI Butaric, Lauren/0000-0003-3743-2408
FU National Institute of Justice [2016-DN-BX-0144]; National Institute of
   Justice (NIJ) [2015-DN-BX-K409]
FX The authors would like to thank the museums, facilities, and personnel
   who assisted in the collection of these samples: D. Hunt and B. Frohlich
   for collection access and scanning at the Smithsonian Institute; G.
   Garcia for collection access at the American Museum of Natural History,
   and P. Som for CT Scanning at Mt Sinai Hospital, New York; L. Copes for
   freely sharing CT scans (https://www.lynncopes.com/); the New Mexico
   Decedents Imaging Database and affiliates, including H Edgar for
   granting access to adult specimens (National Institute of Justice award
   2016-DN-BX-0144) and K. Stull for granting access to the subadult
   collection (National Institute of Justice (NIJ) award 2015-DN-BX-K409;
   J. Monge and P. T. Schoenneman and the University of Pennsylvania Museum
   of Archaeology and Anthropology for scans from the Open Research Scan
   Archive (ORSA); and the NESPOS archive (www.Nespos.org).Finally, we
   would like to thank A. Pagano and S. Marquez for inviting us to join
   this special issue, as well as two reviewers whose comments enhanced the
   manuscript.
CR [Anonymous], 2012, GEOMORPH SOFTWARE GE
   Bastir M, 2007, P ROY SOC B-BIOL SCI, V274, P1125, DOI 10.1098/rspb.2006.0448
   Bastir M, 2020, AM J PHYS ANTHROPOL, V171, P65, DOI 10.1002/ajpa.23944
   Bastir M, 2016, J HUM EVOL, V91, P26, DOI 10.1016/j.jhevol.2015.11.001
   Bastir M, 2013, AM J PHYS ANTHROPOL, V152, P287, DOI 10.1002/ajpa.22359
   Bastir M, 2011, AM J PHYS ANTHROPOL, V144, P83
   Bastir M, 2009, EVOL BIOL, V36, P57, DOI 10.1007/s11692-008-9037-4
   Bitar A, 2000, EUR J NUTR, V39, P157, DOI 10.1007/s003940070019
   Buikstra J. E., 1994, Standards for data collection from human skeletal remains, DOI DOI 10.1002/AJHB.1310070519
   Bulygina E, 2006, AM J PHYS ANTHROPOL, V131, P432, DOI 10.1002/ajpa.20317
   Bunak V.V., 1960, P USSR AC SCI, P84
   BUSCHANG PH, 1983, AM J PHYS ANTHROPOL, V61, P373, DOI 10.1002/ajpa.1330610312
   Butaric LN, 2016, AM J PHYS ANTHROPOL, V160, P483, DOI 10.1002/ajpa.22986
   Butaric LN, 2015, ANAT REC, V298, P1710, DOI 10.1002/ar.23182
   Cartmill M., 2009, THE HUMAN LINEAGE
   CAUNA N., 1982, NOSE UPPER AIRWAY PH, P45
   Charles CM, 1930, AM J PHYS ANTHROPOL, V14, P177, DOI 10.1002/ajpa.1330140204
   Chen XB, 2010, RHINOLOGY, V48, P394, DOI 10.4193/Rhino09.196
   Churchill SE, 2004, AM J HUM BIOL, V16, P625, DOI 10.1002/ajhb.20074
   COLE P, 1953, J Laryngol Otol, V67, P449, DOI 10.1017/S0022215100048908
   COLE P, 1954, J Laryngol Otol, V68, P295, DOI 10.1017/S0022215100049690
   COLE P, 1953, J Laryngol Otol, V67, P669, DOI 10.1017/S0022215100049161
   Cole P., 1982, The nose: upper airway physiology and the atmospheric environment, P162
   Cole P., 1982, NOSE UPPER AIRWAY PH, P351
   COLLINS JC, 1971, BIOPHYS J, V11, P886, DOI 10.1016/S0006-3495(71)86262-8
   Copes L., 2012, THESIS ARIZONA STATE
   Corrêa AAM, 1919, AM J PHYS ANTHROPOL, V2, P117, DOI 10.1002/ajpa.1330020216
   Cunningham C., 2016, Developmental juvenile osteology, V2nd edn
   de Azevedo S, 2017, P NATL ACAD SCI USA, V114, P12442, DOI 10.1073/pnas.1703790114
   de León MSP, 2001, NATURE, V412, P534, DOI 10.1038/35087573
   Eccles R, 2002, ACTA OTO-LARYNGOL, V122, P183, DOI 10.1080/00016480252814207
   Edgar H., 2020, New Mexico Decedent Image Database, DOI [10.25827/5-8c-n515, DOI 10.25827/5-8C-N515]
   Enlow DH., 1990, Facial Growth, V3rd
   Eveleth P.., 1976, Worldwide variation in human growth, V1
   Evteev A, 2018, AM J HUM BIOL, V30, DOI 10.1002/ajhb.23132
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Evteev AA, 2017, J HUM EVOL, V107, P36, DOI 10.1016/j.jhevol.2017.02.008
   FARKAS LG, 1992, CLEFT PALATE-CRAN J, V29, P318, DOI 10.1597/1545-1569(1992)029<0318:GPOTNR>2.3.CO;2
   Fedorov A, 2012, MAGN RESON IMAGING, V30, P1323, DOI 10.1016/j.mri.2012.05.001
   Franciscus R.G., 1995, THESIS U NEW MEXICO, P377
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Freidline SE, 2015, AM J PHYS ANTHROPOL, V158, P116, DOI 10.1002/ajpa.22759
   Froehle AW, 2013, ORIGINS OF MODERN HUMANS: BIOLOGY RECONSIDERED, 2ND EDITION, P285
   Gagliardi A, 2004, HOMO, V55, P39, DOI 10.1016/j.jchb.2004.06.001
   Hall BK, 2013, OR SURG OR MED OR PA, V115, P442, DOI 10.1016/j.oooo.2012.05.005
   Hall RL, 2005, AM J HUM BIOL, V17, P321, DOI 10.1002/ajhb.20122
   HANNA LM, 1986, J BIOMECH ENG-T ASME, V108, P19, DOI 10.1115/1.3138574
   Hartman C, 2016, ANAT REC, V299, P295, DOI 10.1002/ar.23303
   Hennessy RJ, 2002, AM J PHYS ANTHROPOL, V117, P37, DOI 10.1002/ajpa.10005
   Holton N, 2013, ANAT REC, V296, P414, DOI 10.1002/ar.22655
   Holton NE, 2016, AM J PHYS ANTHROPOL, V160, P52, DOI 10.1002/ajpa.22941
   Holton NE, 2014, AM J PHYS ANTHROPOL, V153, P52, DOI 10.1002/ajpa.22402
   Holton NE, 2012, J ANAT, V221, P263, DOI 10.1111/j.1469-7580.2012.01533.x
   Holton NE, 2011, J HUM EVOL, V61, P624, DOI 10.1016/j.jhevol.2011.08.001
   Howells W.W., 1973, Cranial variation in man: a study by multivariate analysis of patterns of difference among recent human populations
   INGELSTEDT S, 1956, Acta Otolaryngol Suppl, V131, P1
   Ito T, 2016, EVOL BIOL, V43, P414, DOI 10.1007/s11692-016-9369-4
   Ito T, 2015, PRIMATES, V56, P11, DOI 10.1007/s10329-014-0440-4
   Keck T, 2000, LARYNGOSCOPE, V110, P651, DOI 10.1097/00005537-200004000-00021
   Keith A., 1902, J Anat Physiol, V36, P47
   Kelly AP, 2021, AM J PHYS ANTHROPOL, V174, P53
   Kesterke MJ, 2016, BIOL SEX DIFFER, V7, DOI 10.1186/s13293-016-0076-8
   Larson JR, 2018, AM J PHYS ANTHROPOL, V165, P327, DOI 10.1002/ajpa.23356
   Lindemann J, 2009, AMJ RHINOL ALLERGY, V23, P575, DOI 10.2500/ajra.2009.23.3362
   Maddux SD, 2017, ANAT REC, V300, P209, DOI 10.1002/ar.23447
   Maddux SD, 2017, AM J PHYS ANTHROPOL, V162, P103, DOI 10.1002/ajpa.23100
   Maddux SD, 2016, AM J PHYS ANTHROPOL, V161, P309, DOI 10.1002/ajpa.23032
   Marks TN, 2019, AM J PHYS ANTHROPOL, V169, P498, DOI 10.1002/ajpa.23840
   Martin R., 1928, Lehrbuch der Anthropologie, V2nd
   McCollum MA, 1997, AM J PHYS ANTHROPOL, V102, P377, DOI 10.1002/(SICI)1096-8644(199703)102:3<377::AID-AJPA7>3.0.CO;2-S
   MCCOLLUM MA, 1993, J HUM EVOL, V24, P87, DOI 10.1006/jhev.1993.1009
   Mitteroecker P, 2005, EVOL DEV, V7, P244, DOI 10.1111/j.1525-142X.2005.05027.x
   MOONEY MP, 1991, AM J PHYS ANTHROPOL, V85, P451, DOI 10.1002/ajpa.1330850408
   MOONEY MP, 1992, AM J PHYS ANTHROPOL, V88, P203, DOI 10.1002/ajpa.1330880208
   MOONEY MP, 1986, CLEFT PALATE J, V23, P101
   MOONEY MP, 1986, AM J PHYS ANTHROPOL, V69, P242
   Nair H, 2011, LANCET, V378, P1917, DOI 10.1016/S0140-6736(11)61051-9
   Nair H, 2010, LANCET, V375, P1545, DOI 10.1016/S0140-6736(10)60206-1
   NANDA SK, 1990, AM J ORTHOD DENTOFAC, V98, P247, DOI 10.1016/S0889-5406(05)81602-6
   NANDA SK, 1988, AM J ORTHOD DENTOFAC, V93, P103, DOI 10.1016/0889-5406(88)90287-9
   NCSS, 2020, STAT SOFTW 2020
   Nicholas CL, 2016, AM J PHYS ANTHROPOL, V161, P448, DOI 10.1002/ajpa.23043
   Nicholas CL, 2014, AM J PHYS ANTHROPOL, V155, P369, DOI 10.1002/ajpa.22570
   Nikitovic D, 2014, AM J HUM BIOL, V26, P117, DOI 10.1002/ajhb.22492
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   O'Higgins P., 2006, Int Congr Ser, V1296, P55, DOI [10.1016/j.ics.2006.03.036, DOI 10.1016/J.ICS.2006.03.036]
   O'Higgins P., 1999, HUMAN GROWTH, P128
   Proetz A.W., 1953, APPL PHYSL NOSE, P55
   R Development Core Team, 2012, R: A Language and Environment for Statistical Computing, Reference Index
   Rae TC, 2003, AM J PRIMATOL, V59, P153, DOI 10.1002/ajp.10072
   Roseman CC, 2004, P NATL ACAD SCI USA, V101, P12824, DOI 10.1073/pnas.0402637101
   Roseman CC, 2007, BIOESSAYS, V29, P1185, DOI 10.1002/bies.20678
   Sardi ML, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035917
   SARNAT BG, 1966, AM J ANAT, V118, P755, DOI 10.1002/aja.1001180306
   SASSOUNI V, 1964, AM J ORTHOD DENTOFAC, V50, P801, DOI 10.1016/0002-9416(64)90039-9
   SCHMIDTN.K, 1970, RESP PHYSIOL, V9, P263, DOI 10.1016/0034-5687(70)90075-7
   SCHROTER RC, 1989, RESP PHYSIOL, V78, P357, DOI 10.1016/0034-5687(89)90110-2
   Schultz AH, 1918, AM J PHYS ANTHROPOL, V1, P329, DOI 10.1002/ajpa.1330010304
   Schultz AH, 1920, CONTRIB EMBRYOL, V9, P175
   SCOTT J H, 1954, J Laryngol Otol, V68, P308, DOI 10.1017/S0022215100049707
   Seeley LE., 1940, Heating, Piping, andAir Conditioning, V12, P377
   Sforza C, 2011, FORENSIC SCI INT, V204, DOI 10.1016/j.forsciint.2010.07.027
   SHEA BT, 1977, AM J PHYS ANTHROPOL, V47, P289, DOI 10.1002/ajpa.1330470209
   SIEGEL MI, 1981, PLAST RECONSTR SURG, V68, P849, DOI 10.1097/00006534-198112000-00001
   Slice D.E., 2013, MORPHEUS JAVA EDITIO
   Stalling D., 2005, Visualization Handbook, P749, DOI DOI 10.1016/B978-012387582-2/50040-X
   Stansfield E, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86830-x
   Strand Vietharsdottir U., 2003, PATTERNS GROWTH DEV, P147
   Strand Vietharsdottir U., 1999, THESIS U COLL LONDON
   Stull K., 2015, 2015DNBXK409 NAT I J
   Tos M., 1982, NOSE UPPER AIRWAY PH, P99
   Tu J, 2018, Computational Fluid Dynamics: A Practical Approach
   Ubelaker D. H., 1989, Human skeletal remains: Excavation, analysis, interpretation
   Vioarsdóttir US, 2002, J ANAT, V201, P211
   WALKER JE, 1961, AM J MED, V30, P259, DOI 10.1016/0002-9343(61)90097-3
   Wealthall RJ, 2006, ANAT REC PART A, V288A, P1163, DOI 10.1002/ar.a.20385
   Wells JCK, 2007, BEST PRACT RES CL EN, V21, P415, DOI 10.1016/j.beem.2007.04.007
   Williams R B, 1998, Respir Care Clin N Am, V4, P215
   WROE S, 2018, P ROYAL SOC BRITAIN, V285
   Xi JX, 2012, ANN BIOMED ENG, V40, P2579, DOI 10.1007/s10439-012-0603-7
   Xi JX, 2011, J AEROSOL SCI, V42, P156, DOI 10.1016/j.jaerosci.2010.12.004
   Yokley T., 2009, PALEOANTHROPOLOGY, pA39
   Yokley TR, 2009, AM J PHYS ANTHROPOL, V138, P11, DOI 10.1002/ajpa.20893
   Zaidi AA, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006616
   Zhao K, 2014, INT FORUM ALLERGY RH, V4, P435, DOI 10.1002/alr.21319
   Zollikofer CPE, 2008, ANAT REC, V291, P1506, DOI 10.1002/ar.20779
   ,, 2008, The global burden of disease: 2004 update
NR 127
TC 4
Z9 5
U1 0
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1932-8486
EI 1932-8494
J9 ANAT REC
JI Anat. Rec.
PD AUG
PY 2022
VL 305
IS 8
SI SI
BP 1910
EP 1937
DI 10.1002/ar.24760
EA SEP 2021
PG 28
WC Anatomy & Morphology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Anatomy & Morphology
GA 2W1AX
UT WOS:000697670900001
PM 34549897
DA 2025-01-10
ER

PT J
AU Richardson, BA
   Germino, MJ
   Warwell, M
   Buerki, S
AF Richardson, Bryce A.
   Germino, Matthew J.
   Warwell, Marcus, V
   Buerki, Sven
TI The role of genome duplication in big sagebrush growth and fecundity
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE Artemisia tridentata; common garden; C-S-R strategy; cytotype; genetic;
   gene-environment interaction; genetic adaptation; mixed-effect model;
   polyploidy
ID ARTEMISIA-TRIDENTATA; INTRASPECIFIC VARIATION; SUBGENUS TRIDENTATAE;
   POLYPLOIDY; NICHE; CYTOGEOGRAPHY; HYBRIDIZATION; RESPONSES; SIZE
AB Premise Adaptive traits can be dramatically altered by genome duplication. The study of interactions among traits, ploidy, and the environment are necessary to develop an understanding of how polyploidy affects niche differentiation and to develop restoration strategies for resilient native ecosystems. Methods Growth and fecundity were measured in common gardens for 39 populations of big sagebrush (Artemisia tridentata) containing two subspecies and two ploidy levels. General linear mixed-effect models assessed how much of the trait variation could be attributed to genetics (i.e., ploidy and climatic adaptation), environment, and gene-environment interactions. Results Growth and fecundity variation were explained well by the mixed models (80% and 91%, respectively). Much of the trait variation was attributed to environment, and 15% of variation in growth and 34% of variation in seed yield were attributed to genetics. Genetic trait variation was mostly attributable to ploidy, with much higher growth and seed production in diploids, even in a warm-dry environment typically dominated by tetraploids. Population-level genetic variation was also evident and was related to the climate of each population's origin. Conclusions Ploidy is a strong predictor growth and seed yield, regardless of common-garden environment. The superior growth and fecundity of diploids across environments raises the question as to how tetraploids can be more prevalent than diploids, especially in warm-dry environments. Two hypotheses that may explain the abundance of tetraploids on the landscape include selection for drought resistance at the seedling stage, and greater competitive ability in water uptake in the upper soil horizon.
C1 [Richardson, Bryce A.] US Forest Serv, Rocky Mt Res Stn, Moscow, ID 83843 USA.
   [Germino, Matthew J.] US Geol Survey, Forest & Rangeland Ecosyst Serv Ctr, Boise, ID USA.
   [Warwell, Marcus, V] US Forest Serv, Southern Reg, Atlanta, GA USA.
   [Buerki, Sven] Boise State Univ, Dept Biol Sci, Boise, ID 83725 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of the Interior; United States
   Geological Survey; United States Department of Agriculture (USDA);
   United States Forest Service; Boise State University
RP Richardson, BA (corresponding author), US Forest Serv, Rocky Mt Res Stn, Moscow, ID 83843 USA.
EM bryce.richardson2@usda.gov
RI Germino, Matthew/F-6080-2013; Buerki, Sven/A-8305-2012; Warwell,
   Marcus/AAY-9868-2020
OI Buerki, Sven/0000-0002-8299-6539; Richardson, Bryce/0000-0001-9521-4367
FU USDA Forest Service, Rocky Mountain Research Station; USDA Forest
   Service National Fire Plan; Great Basin Native Plant Project; NSF Idaho
   EPSCoR Program; National Science Foundation [OIA-1757324]
FX Thanks to Stephanie Carlson, Nancy Shaw, Hector Ortiz, Tanner Tobiasson,
   and Deidre Jaeger for assisting in data collection and Utah Department
   of Wildlife Resource in garden establishment and maintenance. Andrii
   Zaiats, Durant McArthur and two anonymous reviewers provided thoughtful
   comments to the manuscript. This research was supported in part by the
   USDA Forest Service, Rocky Mountain Research Station. The findings and
   conclusions in this publication are those of the authors and should not
   be construed to represent any official USDA or U.S. Government
   determination or policy. Additional funding provided by the USDA Forest
   Service National Fire Plan and the Great Basin Native Plant Project.
   S.B. was supported by the NSF Idaho EPSCoR Program and by the National
   Science Foundation under award number OIA-1757324. Any use of trade,
   product or firm names is for descriptive purposes only and does not
   imply endorsement by the U.S. Government.
CR [Anonymous], 2022, Olli-Screen Reader Accessibility for Data Visualization
   [Anonymous], 1988, Plant Evolutionary Biology, DOI DOI 10.1007/978-94-009-1207-6_14
   Astuti G, 2019, PLANT BIOSYST, V153, P12, DOI 10.1080/11263504.2018.1435576
   Balao F, 2011, NEW PHYTOL, V192, P256, DOI 10.1111/j.1469-8137.2011.03787.x
   BARKER JR, 1983, J RANGE MANAGE, V36, P450, DOI 10.2307/3897938
   Brabec MM, 2017, J APPL ECOL, V54, P293, DOI 10.1111/1365-2664.12679
   Brooks ME, 2017, R J, V9, P378, DOI 10.32614/RJ-2017-066
   Buggs RJA, 2012, CURR BIOL, V22, P248, DOI 10.1016/j.cub.2011.12.027
   Chambers JC, 2014, ECOSYSTEMS, V17, P360, DOI 10.1007/s10021-013-9725-5
   Chaney L, 2017, EVOL APPL, V10, P313, DOI [10.1111/eva.12440, 10.1111/]
   Cleary MB, 2008, J ARID ENVIRON, V72, P285, DOI 10.1016/j.jaridenv.2007.07.013
   Corneillie S, 2019, PLANT PHYSIOL, V179, P74, DOI 10.1104/pp.18.00967
   FREEMAN DC, 1991, AM J BOT, V78, P805, DOI 10.2307/2445072
   Germino MJ, 2019, ECOL APPL, V29, DOI 10.1002/eap.1842
   Germino MJ, 2014, J ECOL, V102, P989, DOI 10.1111/1365-2745.12266
   Hao GY, 2013, NEW PHYTOL, V197, P970, DOI 10.1111/nph.12051
   Jaeger DM, 2016, NEW PHYTOL, V211, P1393, DOI 10.1111/nph.13982
   Laport RG, 2012, SYST BOT, V37, P153, DOI 10.1600/036364412X616738
   Lavania UC, 2012, PLANT J, V71, P539, DOI 10.1111/j.1365-313X.2012.05006.x
   Lazarus BE, 2019, AM J BOT, V106, P922, DOI 10.1002/ajb2.1320
   Maherali H, 2009, NEW PHYTOL, V184, P721, DOI 10.1111/j.1469-8137.2009.02997.x
   Marchant DB, 2016, NEW PHYTOL, V212, P708, DOI 10.1111/nph.14069
   MCARTHUR E D, 1978, Great Basin Naturalist Memoirs, P229
   McArthur E.D., 1999, P SHRUBL EC 1998 EPH
   McArthur ED, 1999, AM J BOT, V86, P1754, DOI 10.2307/2656673
   MCARTHUR ED, 1982, J RANGE MANAGE, V35, P396, DOI 10.2307/3898327
   MCARTHUR ED, 1981, AM J BOT, V68, P589, DOI 10.2307/2442786
   MCARTHUR ED, 1988, J HERED, V79, P268, DOI 10.1093/oxfordjournals.jhered.a110508
   Nakagawa S, 2017, J R SOC INTERFACE, V14, DOI 10.1098/rsif.2017.0213
   Oswald BP, 2011, EVOLUTION, V65, P1667, DOI 10.1111/j.1558-5646.2010.01208.x
   Perryman BL, 2001, J RANGE MANAGE, V54, P166, DOI 10.2307/4003178
   Petit C, 1999, EVOL ECOL, V13, P45, DOI 10.1023/A:1006534130327
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Raabová J, 2008, OECOLOGIA, V158, P463, DOI 10.1007/s00442-008-1156-1
   Ramsey J, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0352
   Ramsey J, 2011, P NATL ACAD SCI USA, V108, P7096, DOI 10.1073/pnas.1016631108
   Richardson BA, 2018, ECOL APPL, V28, P2165, DOI 10.1002/eap.1804
   Richardson BA, 2017, GLOBAL CHANGE BIOL, V23, P2499, DOI 10.1111/gcb.13532
   Richardson BA, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00249.1
   Richardson BA, 2012, AM J BOT, V99, P1962, DOI 10.3732/ajb.1200373
   Sanderson SC, 2011, WEST N AM NATURALIST, V71, P67, DOI 10.3398/064.071.0110
   Schlaepfer DR, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00208.1
   Schlaepfer DR, 2012, ECOHYDROLOGY, V5, P453, DOI 10.1002/eco.238
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Shi XL, 2015, MOL BIOL EVOL, V32, P2351, DOI 10.1093/molbev/msv116
   Shultz L.M., 2009, Systematic Botany Monograph, V89, P1
   Soltis DE, 2016, AM J BOT, V103, P1146, DOI 10.3732/ajb.1500501
   Still SM, 2015, NAT AREA J, V35, P30, DOI 10.3375/043.035.0106
   Treier UA, 2009, ECOLOGY, V90, P1366, DOI 10.1890/08-0420.1
   Wang T., 2016, PLOS ONE, V11
   WARNER DA, 1993, PHOTOSYNTH RES, V35, P135, DOI 10.1007/BF00014744
   Wei N, 2019, NEW PHYTOL, V221, P2286, DOI 10.1111/nph.15508
   WELCH BL, 1988, J RANGE MANAGE, V41, P332, DOI 10.2307/3899390
   Zaiats A, 2020, FUNCT ECOL, V34, P1170, DOI 10.1111/1365-2435.13546
NR 54
TC 10
Z9 11
U1 1
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9122
EI 1537-2197
J9 AM J BOT
JI Am. J. Bot.
PD AUG
PY 2021
VL 108
IS 8
BP 1405
EP 1416
DI 10.1002/ajb2.1714
EA AUG 2021
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA UK1FX
UT WOS:000690996400001
PM 34460105
OA Bronze
DA 2025-01-10
ER

PT J
AU Poeplau, C
   Schroeder, J
   Gregorich, E
   Kurganova, I
AF Poeplau, Christopher
   Schroeder, Julia
   Gregorich, Ed
   Kurganova, Irina
TI Farmers' Perspective on Agriculture and Environmental Change in the
   Circumpolar North of Europe and America
SO LAND
LA English
DT Article
DE northern agriculture; farming systems; climate change; climate
   adaptation; land-use change; survey; permafrost
ID INDIGENOUS PEOPLES; CARBON RELEASE; FOOD; IMPACT; VARIABILITY;
   FEEDBACKS; EXCHANGE; SNOWPACK; FOREST; ALASKA
AB Climate change may increase the importance of agriculture in the global Circumpolar North with potentially critical implications for pristine northern ecosystems and global biogeochemical cycles. With this in mind, a global online survey was conducted to understand northern agriculture and farmers' perspective on environmental change north of 60 degrees N. In the obtained dataset with 67 valid answers, Alaska and the Canadian territories were dominated by small-scale vegetable, herbs, hay, and flower farms; the Atlantic Islands were dominated by sheep farms; and Fennoscandia was dominated by cereal farming. In Alaska and Canada, farmers had mostly immigrated with hardly any background in farming, while farmers in Fennoscandia and on the Atlantic Islands mostly continued family traditions. Accordingly, the average time since conversion from native land was 28 +/- 28 and 25 +/- 12 years in Alaska and Canada, respectively, but 301 +/- 291 and 255 +/- 155 years on the Atlantic Islands and in Fennoscandia, respectively, revealing that American northern agriculture is expanding. Climate change was observed by 84% of all farmers, of which 67% have already started adapting their farming practices, by introducing new varieties or altering timings. Fourteen farmers reported permafrost on their land, with 50% observing more shallow permafrost on uncultivated land than on cultivated land. Cultivation might thus accelerate permafrost thawing, potentially with associated consequences for biogeochemical cycles and greenhouse gas emissions. About 87% of the surveyed farmers produced for the local market, reducing emissions of food transport. The dynamics of northern land-use change and agriculture with associated environmental changes should be closely monitored. The dataset is available for further investigations.
C1 [Poeplau, Christopher; Schroeder, Julia] Thunen Inst Climate Smart Agr, Bundesallee 68, D-38116 Braunschweig, Germany.
   [Gregorich, Ed] Agr & Agri Food Canada, Cent Expt Farm, Ottawa, ON K1A 0C6, Canada.
   [Kurganova, Irina] RAS, Inst Physicochem & Biol Problems Soil Sci, Inst Skaya St 2, Pushchino 142290, Russia.
C3 Johann Heinrich von Thunen Institute; Agriculture & Agri Food Canada;
   Russian Academy of Sciences; Pushchino Scientific Center for Biological
   Research (PSCBI) of the Russian Academy of Sciences; Institute of
   Physicohemical & Biological Problems of Soil Science
RP Poeplau, C (corresponding author), Thunen Inst Climate Smart Agr, Bundesallee 68, D-38116 Braunschweig, Germany.
EM christopher.poeplau@thuenen.de; julia.schroeder@thuenen.de;
   ed.gregorich@canada.ca; ikurg@mail.ru
RI Gregorich, Edward/J-9785-2012; Schroeder, Julia/JAZ-9233-2023
OI Gregorich, Edward/0000-0003-3652-2946; Poeplau,
   Christopher/0000-0003-3108-8810; Schroeder, Julia/0000-0003-3625-104X
FU German Research Foundation
FX This study was funded by the German Research Foundation in the framework
   of the project 'Breaking the ice-Consequences of northwards extending
   agriculture for soil organic matter cycling under a changing climate'.
CR [Anonymous], 2018, YUK AGR STAT IND REP
   [Anonymous], 2019, USDAS NAT AGR STAT S
   [Anonymous], INTRO HARVESTING SEL
   [Anonymous], FARMING ARCTIC IT CA
   [Anonymous], REG RUSS SOC IND
   [Anonymous], 1990, URSUS
   [Anonymous], RES AN
   [Anonymous], INDEPENDENT
   [Anonymous], MOSC ROSHYDROMET
   [Anonymous], 2017, SAIGONEER
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Burn C.R., 1990, PERMAFROST PERIGLAC, V1, P161, DOI DOI 10.1002/PPP.3430010207
   Butrico G, 2018, EUR COUNTRYS, V10, P711, DOI 10.2478/euco-2018-0039
   Chen A., 2019, CANADIAN FOOD STUDIE, V6, P140, DOI DOI 10.15353/CFS-RCEA.V6I1.301
   Coley D, 2009, FOOD POLICY, V34, P150, DOI 10.1016/j.foodpol.2008.11.001
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   Egeland GM, 2010, CAN MED ASSOC J, V182, P243, DOI 10.1503/cmaj.091297
   Eugster W, 2000, GLOBAL CHANGE BIOL, V6, P84, DOI 10.1046/j.1365-2486.2000.06015.x
   Euskirchen ES, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/10/105003
   Fazzino DV, 2009, ANN ANTHROPL PRACT, V32, P152, DOI 10.1111/j.1556-4797.2009.01033.x
   Fischer G., 2012, Global Agro-ecological Zones (GAEZ v3.0): Model Documentation"
   FRANCIS KE, 1967, GEOGR REV, V57, P496, DOI 10.2307/212929
   GORHAM E, 1991, ECOL APPL, V1, P182, DOI 10.2307/1941811
   Grünzweig JM, 2015, ECOSYSTEMS, V18, P132, DOI 10.1007/s10021-014-9817-x
   Grünzweig JM, 2003, BIOGEOCHEMISTRY, V64, P271, DOI 10.1023/A:1024976713243
   Hermanns-Audardottir Margret., 1991, Norwegian Archaeological Review, V24, P1
   Hogda KA, 2001, INT GEOSCI REMOTE SE, P1338, DOI 10.1109/IGARSS.2001.976837
   Hovelsrud GK, 2011, AMBIO, V40, P100, DOI 10.1007/s13280-011-0219-4
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Koven CD, 2011, P NATL ACAD SCI USA, V108, P14769, DOI 10.1073/pnas.1103910108
   Kuhnlein HV, 2004, J NUTR, V134, P1447, DOI 10.1093/jn/134.6.1447
   KUHNLEIN HV, 1995, CAN J PHYSIOL PHARM, V73, P765, DOI 10.1139/y95-102
   Kummu M, 2011, APPL GEOGR, V31, P495, DOI 10.1016/j.apgeog.2010.10.009
   Kumpula T, 2011, GLOBAL ENVIRON CHANG, V21, P550, DOI 10.1016/j.gloenvcha.2010.12.010
   Lambin EF, 2010, LAND USE POLICY, V27, P108, DOI 10.1016/j.landusepol.2009.09.003
   Leiner D. J., SOSCI SURVEY VERSION
   Marshal AM, 2019, GEOPHYS RES LETT, V46, P8882, DOI 10.1029/2019GL083770
   McHugh ML, 2013, BIOCHEM MEDICA, V23, P143, DOI 10.11613/BM.2013.018
   Mote PW, 2006, J CLIMATE, V19, P6209, DOI 10.1175/JCLI3971.1
   Ping C.L., 2005, REFERENCE MODULE EAR, P268, DOI 10.1016/B0-12-348530-4/00024-2
   Poeplau C, 2011, GLOBAL CHANGE BIOL, V17, P2415, DOI 10.1111/j.1365-2486.2011.02408.x
   R Development Core team R. C., 2013, R Development Core Team: R: A Language and Environment for Statistical Computing
   Ricart S, 2019, LAND-BASEL, V8, DOI 10.3390/land8010004
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Schaefer K, 2011, TELLUS B, V63, P165, DOI 10.1111/j.1600-0889.2011.00527.x
   Schuur EAG, 2009, NATURE, V459, P556, DOI 10.1038/nature08031
   Stevenson KT, 2014, ARCTIC, V67, P296, DOI 10.14430/arctic4408
   Tchebakova NM, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/045207
   Tiemeyer B, 2016, GLOBAL CHANGE BIOL, V22, P4134, DOI 10.1111/gcb.13303
   World Population Review, 2020, World population review. minimum wage by country 2020
NR 51
TC 16
Z9 16
U1 3
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2019
VL 8
IS 12
AR 190
DI 10.3390/land8120190
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KA1TZ
UT WOS:000505583000020
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lei, L
   Poets, AM
   Liu, CC
   Wyant, SR
   Hoffman, PJ
   Carter, CK
   Shaw, BG
   Li, X
   Muehlbauer, GJ
   Katagiri, F
   Morrell, PL
AF Lei, Li
   Poets, Ana M.
   Liu, Chaochih
   Wyant, Skylar R.
   Hoffman, Paul J.
   Carter, Corey K.
   Shaw, Brian G.
   Li, Xin
   Muehlbauer, Gary J.
   Katagiri, Fumiaki
   Morrell, Peter L.
TI Environmental Association Identifies Candidates for Tolerance to Low
   Temperature and Drought
SO G3-GENES GENOMES GENETICS
LA English
DT Article
DE cold; drought; adaptation; barley; allele frequency differentiation;
   mixed model association
ID LINKAGE DISEQUILIBRIUM; LOCAL ADAPTATION; POPULATION-STRUCTURE;
   TRANSGENIC TOBACCO; GENETIC-STRUCTURE; F-ST; BARLEY; DOMESTICATION;
   HAPLOTYPE; PATTERNS
AB Barley (Hordeum vulgare ssp. vulgare) is cultivated from the equator to the Arctic Circle. The wild progenitor species, Hordeum vulgare ssp. spontaneum, occupies a relatively narrow latitudinal range (similar to 30 - 40 degrees N) primarily at low elevation (< 1,500 m). Adaptation to the range of cultivation has occurred over similar to 8,000 years. The genetic basis of adaptation is amenable to study through environmental association. An advantage of environmental association in a well-characterized crop is that many loci that contribute to climatic adaptation and abiotic stress tolerance have already been identified. This provides the opportunity to determine if environmental association approaches effectively identify these loci of large effect. Using published genotyping from 7,864 SNPs in 803 barley landraces, we examined allele frequency differentiation across multiple partitions of the data and mixed model associations relative to bioclimatic variables. Using newly generated resequencing data from a subset of these landraces, we tested for linkage disequilibrium (LD) between SNPs queried in genotyping and SNPs in neighboring loci. Six loci previously reported to contribute to adaptive differences in flowering time and abiotic stress in barley and six loci previously identified in other plant species were identified in our analyses. In many cases, patterns of LD are consistent with the causative variant occurring in the immediate vicinity of the queried SNP. The identification of barley orthologs to well-characterized genes may provide a new understanding of the nature of adaptive variation and could permit a more targeted use of potentially adaptive variants in barley breeding and germplasm improvement.
C1 [Lei, Li; Poets, Ana M.; Liu, Chaochih; Wyant, Skylar R.; Hoffman, Paul J.; Carter, Corey K.; Shaw, Brian G.; Li, Xin; Muehlbauer, Gary J.; Morrell, Peter L.] Univ Minnesota, Dept Agron & Plant Genet, St Paul, MN 55108 USA.
   [Muehlbauer, Gary J.; Katagiri, Fumiaki] Univ Minnesota, Dept Plant & Microbial Biol, Microbial & Plant Genom Inst, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities
RP Morrell, PL (corresponding author), Univ Minnesota, Dept Agron & Plant Genet, St Paul, MN 55108 USA.
EM pmorrell@umn.edu
RI Morrell, Peter/E-2059-2011; Lei, Li/J-6122-2019; Li, Xin/L-2237-2019;
   Guigo, Roderic/D-1303-2010
OI Li, Xin/0000-0002-3914-9377; Poets, Ana/0000-0002-4332-5986; Lei,
   Li/0000-0001-5708-0118; Liu, Chaochih/0000-0002-2179-9638; Katagiri,
   Fumiaki/0000-0001-6893-3788; Hoffman, Paul/0000-0002-7693-8957; Wyant,
   Skylar/0000-0001-6839-4059; Carter, Corey/0000-0001-6140-6440
FU U.S. NSF Plant Genome Program [IOS-1339393]; USDA Triticeae Coordinated
   Agricultural Project [2011-68002-30029]; NSF [MCB-1518058]
FX We would like to thank A Proulx and R Trantow for annotation of physical
   positions of 9K SNPs. E Vonderharr assisted with National Center for
   Biotechnology Information's Sequence Read Archive (NCBI SRA)
   submissions. T Kono provided helpful comments that improved the
   manuscript. This study was supported by the U.S. NSF Plant Genome
   Program (IOS-1339393) to PLM and the USDA Triticeae Coordinated
   Agricultural Project 2011-68002-30029 to GJM and PLM, and NSF
   (MCB-1518058) to FK. This research was carried out with hardware and
   software support provided by the Minnesota Supercomputing Institute
   (MSI) at the University of Minnesota.
CR Anderson JE, 2016, G3-GENES GENOM GENET, V6, P835, DOI 10.1534/g3.116.026914
   [Anonymous], 2016, F1000Research, DOI DOI 10.12688/F1000RESEARCH.7346.1
   [Anonymous], MORRELLLAB SEQUENCE
   [Anonymous], FATE DELETERIOUS VAR
   [Anonymous], 2011, ACTA PHYSIOL PLANT, DOI DOI 10.1007/s11738-011-0756-2
   [Anonymous], GENES FIELD ON FARM
   [Anonymous], WILD SPECIES HORDEUM
   Balding DJ, 2006, NAT REV GENET, V7, P781, DOI 10.1038/nrg1916
   Barrero-Sicilia C, 2011, PLANTA, V234, P391, DOI 10.1007/s00425-011-1408-x
   Beaumont MA, 2004, MOL ECOL, V13, P969, DOI 10.1111/j.1365-294X.2004.02125.x
   BELL AJ, 1995, NEURAL COMPUT, V7, P1129, DOI 10.1162/neco.1995.7.6.1129
   Bhatia G, 2013, GENOME RES, V23, P1514, DOI 10.1101/gr.154831.113
   Boden SA, 2014, PLANT CELL, V26, P1557, DOI 10.1105/tpc.114.123794
   Bragg JG, 2015, NEW PHYTOL, V207, P953, DOI 10.1111/nph.13410
   Campoli C, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-97
   CAVALLIS.LL, 1966, PROC R SOC SER B-BIO, V164, P362, DOI 10.1098/rspb.1966.0038
   Chang CC, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0047-8
   Chen YH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153494
   Choi DW, 1999, THEOR APPL GENET, V98, P1234, DOI 10.1007/s001220051189
   Cockram J, 2007, THEOR APPL GENET, V115, P993, DOI 10.1007/s00122-007-0626-x
   Comadran J, 2012, NAT GENET, V44, P1388, DOI 10.1038/ng.2447
   Contreras-Moreira B, 2019, MOL ECOL, V28, P1994, DOI 10.1111/mec.15009
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Casao MC, 2011, BMC PLANT BIOL, V11, DOI 10.1186/1471-2229-11-164
   Dawson IK, 2015, NEW PHYTOL, V206, P913, DOI 10.1111/nph.13266
   de Meeûs T, 2007, INFECT GENET EVOL, V7, P731, DOI 10.1016/j.meegid.2007.07.005
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   DOEBLEY J, 1991, GENETICS, V129, P285
   Doebley JF, 2006, CELL, V127, P1309, DOI 10.1016/j.cell.2006.12.006
   Durvasula A, 2016, MOL ECOL RESOUR, V16, P1449, DOI 10.1111/1755-0998.12578
   Eckert AJ, 2010, GENETICS, V185, P969, DOI 10.1534/genetics.110.115543
   Eltayeb AE, 2006, PHYSIOL PLANTARUM, V127, P57, DOI 10.1111/j.1399-3054.2006.00624.x
   Fang Z, 2014, G3-GENES GENOM GENET, V4, P1193, DOI 10.1534/g3.114.010561
   Fang Z, 2012, GENETICS, V191, P883, DOI 10.1534/genetics.112.138578
   Ford B, 2016, J EXP BOT, V67, P5517, DOI 10.1093/jxb/erw317
   Gaut BS, 2018, NAT PLANTS, V4, P512, DOI 10.1038/s41477-018-0210-1
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hansson H.., 2018, The barley genome, P139, DOI DOI 10.1007/978-3-319-92528-8_10
   HARLAN JR, 1966, SCIENCE, V153, P1074, DOI 10.1126/science.153.3740.1074
   Harris DavidR., 1996, The Origins and Spread of Agriculture and Pastoralism in Eurasia, P370
   Hijmans R.J., 2016, raster: Geographic data analysis and modeling
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Honsdorf N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097047
   Hufford MB, 2012, NAT GENET, V44, P808, DOI 10.1038/ng.2309
   Jakob SS, 2004, MOL BIOL EVOL, V21, P860, DOI 10.1093/molbev/msh092
   Jones H, 2008, MOL BIOL EVOL, V25, P2211, DOI 10.1093/molbev/msn167
   Kanneganti V, 2008, PLANT MOL BIOL, V66, P445, DOI 10.1007/s11103-007-9284-2
   Kantar MB, 2017, BIOSCIENCE, V67, P970, DOI 10.1093/biosci/bix114
   Konishi S, 2006, SCIENCE, V312, P1392, DOI 10.1126/science.1126410
   Kono TJY, 2016, MOL BIOL EVOL, V33, P2307, DOI 10.1093/molbev/msw102
   Korneliussen TS, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0356-4
   LANDER ES, 1989, GENETICS, V121, P185
   LANDER ES, 1994, SCIENCE, V265, P2037, DOI 10.1126/science.8091226
   Lau OS, 2012, TRENDS PLANT SCI, V17, P584, DOI 10.1016/j.tplants.2012.05.004
   LEWONTIN RC, 1988, GENETICS, V120, P849
   LEWONTIN RC, 1973, GENETICS, V74, P175
   Li CB, 2006, SCIENCE, V311, P1936, DOI 10.1126/science.1123604
   Lipka AE, 2012, BIOINFORMATICS, V28, P2397, DOI 10.1093/bioinformatics/bts444
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   Más P, 2003, PLANT CELL, V15, P223, DOI 10.1105/tpc.006734
   Mascher M, 2017, NATURE, V544, P426, DOI 10.1038/nature22043
   Mayer KFX, 2012, NATURE, V491, P711, DOI 10.1038/nature11543
   Morrell PL, 2007, P NATL ACAD SCI USA, V104, P3289, DOI 10.1073/pnas.0611377104
   Morrell PL, 2014, J HERED, V105, P253, DOI 10.1093/jhered/est083
   Morrell PL, 2012, NAT REV GENET, V13, P85, DOI 10.1038/nrg3097
   Muñoz-Amatriaín M, 2015, PLANT J, V84, P216, DOI 10.1111/tpj.12959
   Muñoz-Amatriaín M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0094688
   Muñoz-Amatriaín M, 2011, PLANT GENOME-US, V4, P238, DOI 10.3835/plantgenome2011.08.0023
   NEI M, 1975, GENETICS, V80, P395
   Neph S, 2012, BIOINFORMATICS, V28, P1919, DOI 10.1093/bioinformatics/bts277
   Nishida H, 2013, PLANT PHYSIOL, V163, P804, DOI 10.1104/pp.113.222570
   Nordborg M, 2002, TRENDS GENET, V18, P83, DOI 10.1016/S0168-9525(02)02557-X
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Patterson N, 2006, PLOS GENET, V2, P2074, DOI 10.1371/journal.pgen.0020190
   Pinhasi R, 2005, PLOS BIOL, V3, P2220, DOI 10.1371/journal.pbio.0030410
   Poets AM, 2016, G3-GENES GENOM GENET, V6, P609, DOI 10.1534/g3.115.024349
   Poets AM, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0712-3
   Pyhäjärvi T, 2013, GENOME BIOL EVOL, V5, P1594, DOI 10.1093/gbe/evt109
   R Core Team, 2019, R LANG ENV STAT COMP
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Rodriguez M, 2012, THEOR APPL GENET, V125, P171, DOI 10.1007/s00122-012-1824-8
   Ross-Ibarra J, 2007, P NATL ACAD SCI USA, V104, P8641, DOI 10.1073/pnas.0700643104
   Russell J, 2016, NAT GENET, V48, P1024, DOI 10.1038/ng.3612
   SAGHAIMAROOF MA, 1984, P NATL ACAD SCI-BIOL, V81, P8014, DOI 10.1073/pnas.81.24.8014
   Saisho D, 2007, GENETICS, V177, P1765, DOI 10.1534/genetics.107.079491
   Sasaki K, 2014, PLANT CELL PHYSIOL, V55, P136, DOI 10.1093/pcp/pct164
   Shin J.H., 2006, Journal of Statistical Software, V16, P1, DOI DOI 10.18637/JSS.V016.C03
   Skinner J, 2006, THEOR APPL GENET, V112, P832, DOI 10.1007/s00122-005-0185-y
   Stephens M, 2005, AM J HUM GENET, V76, P449, DOI 10.1086/428594
   Stephens M, 2001, AM J HUM GENET, V68, P978, DOI 10.1086/319501
   Stockinger EJ, 2007, PLANT J, V51, P308, DOI 10.1111/j.1365-313X.2007.0141.x
   Sweigart AL, 2003, EVOLUTION, V57, P2490, DOI 10.1111/j.0014-3820.2003.tb01494.x
   Teshima KM, 2006, GENOME RES, V16, P702, DOI 10.1101/gr.5105206
   Tiffin P, 2014, TRENDS ECOL EVOL, V29, P673, DOI 10.1016/j.tree.2014.10.004
   Turner A, 2005, SCIENCE, V310, P1031, DOI 10.1126/science.1117619
   Twyford AD, 2015, EVOLUTION, V69, P1476, DOI 10.1111/evo.12663
   VanRaden PM, 2008, J DAIRY SCI, V91, P4414, DOI 10.3168/jds.2007-0980
   Visioni A, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-424
   WAGNER DB, 1991, J HERED, V82, P302, DOI 10.1093/oxfordjournals.jhered.a111090
   Wang K, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq603
   Wang L, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1346-4
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wilcox G., 2002, The Dawn of Farming in the Near East, P133
   WRIGHT S, 1951, ANN EUGENIC, V15, P323
   Yan L, 2006, P NATL ACAD SCI USA, V103, P19581, DOI 10.1073/pnas.0607142103
   Yoder JB, 2014, GENETICS, V196, P1263, DOI 10.1534/genetics.113.159319
   Zakhrabekova S, 2012, P NATL ACAD SCI USA, V109, P4326, DOI 10.1073/pnas.1113009109
   Zhang LB, 2009, NEW PHYTOL, V184, P708, DOI 10.1111/j.1469-8137.2009.02984.x
   Zhang ZW, 2010, NAT GENET, V42, P355, DOI 10.1038/ng.546
   Zohary D, 2012, DOMESTICATION OF PLANTS IN THE OLD WORLD: THE ORIGIN AND SPREAD OF DOMESTICATED PLANTS IN SOUTH-WEST ASIA, EUROPE, AND THE MEDITERRANEAN BASIN, 4TH EDITION, P1, DOI 10.1093/acprof:osobl/9780199549061.001.0001
NR 112
TC 17
Z9 18
U1 0
U2 11
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD OCT
PY 2019
VL 9
IS 10
BP 3423
EP 3438
DI 10.1534/g3.119.400401
PG 16
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA JD7HF
UT WOS:000490151100030
PM 31439717
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Soloklui, AAG
   Gharaghani, A
   Oraguzie, N
   Saed-Moucheshi, A
AF Soloklui, Ali Akbar Ghasemi
   Gharaghani, Ali
   Oraguzie, Nnadozie
   Saed-Moucheshi, Armin
TI Heritability and Combining Ability for Cold Hardiness from Partial
   Dialleles in Iranian Pomegranate Cultivars
SO HORTSCIENCE
LA English
DT Article
ID FREEZING TOLERANCE; FRUIT CROPS; ACCLIMATION; INHERITANCE; COMPONENTS;
   RESISTANCE; SEEDLINGS; VARIANCE; TISSUES; TREES
AB The development of cultivars with broader climatic adaptation has recently become the objective of most fruit breeding programmers. Regarding the importance of genetic control of cold hardiness as an influential characteristic for pomegranate and lacking studies in this area, the genetic control of cold hardiness in pomegranate using a partial mating scheme was studied. Five parents, including 'Rabab Post Ghermez Neyriz', 'Malas Yazdi', 'Poost Sefid Dezful', 'Malas Pishva Varamin', and 'Poost Nazok Torosh Abarkuh' with different cold hardiness capability were screened following a cold hardiness test in the laboratory and an evaluation of cold injury after natural freezing events in the field. The five screened cultivars were crossed in half-diallel crossing scheme with a total of 10 crosses in the Spring of 2014. Cold hardiness of the parent cultivars and the F-1 progenies were investigated using the electrolyte leakage (EL) method. Results showed that both general combining ability (GCA) and specific combining ability (SCA) were statistically significant. The hardiest parent ('Poost Nazok Torosh Abarkuh') showed the largest positive GCA effect (1560.59) for winter survival, suggesting that this parent is capable to produce tolerant offspring with high breeding values in crossing programs. The significant SCA in this study suggests that specific crosses should be targeted to produce highly capable offspring. Cross between 'Poost Nazok Torosh Abarkuh' and 'Malas Pishva Varamin' showed high value for SCA (1661.74), indicating capability for production of tolerant offspring to the cold condition. Furthermore, high broad-sense heritability (0.70) and moderate narrow-sense heritability (0.45) for cold hardiness indicate that a reasonable progress could be made in improvement of this trait through conventional breeding.
C1 [Soloklui, Ali Akbar Ghasemi; Gharaghani, Ali] Shiraz Univ, Sch Agr, Dept Hort Sci, Shiraz, Iran.
   [Gharaghani, Ali] Shiraz Univ, Sch Agr, Drought Res Ctr, Shiraz, Iran.
   [Oraguzie, Nnadozie] Washington State Univ, Dept Hort, Irrigated Agr Res & Extens Ctr, 24106 N Bunn Rd, Prosser, WA 99350 USA.
   [Saed-Moucheshi, Armin] Shiraz Univ, Sch Agr, Dept Crop Sci & Plant Breeding, Shiraz, Iran.
C3 Shiraz University; Shiraz University; Washington State University;
   Shiraz University
RP Gharaghani, A (corresponding author), Shiraz Univ, Sch Agr, Dept Hort Sci, Shiraz, Iran.; Gharaghani, A (corresponding author), Shiraz Univ, Sch Agr, Drought Res Ctr, Shiraz, Iran.
EM agharghani@shirazu.ac.ir
RI Ghasemi-soloklui, Ali/AAP-2928-2021; Saed-Moucheshi, Armin/ABA-5609-2021
OI Ghasemi-Soloklui, Ali Akbar/0000-0002-3565-8051; Saed-Moucheshi,
   Armin/0000-0001-9102-9391
CR ARORA R, 1992, PLANT PHYSIOL, V99, P1562, DOI 10.1104/pp.99.4.1562
   Arora R, 2000, THEOR APPL GENET, V100, P690, DOI 10.1007/s001220051341
   ASHWORTH EN, 1991, HORTSCIENCE, V26, P501, DOI 10.21273/HORTSCI.26.5.501
   BURR KE, 1990, TREE PHYSIOL, V6, P351, DOI 10.1093/treephys/6.4.351
   Castle WS, 2011, PROC FL STATE HORTIC, V124, P33
   Cilas C, 2003, HEREDITY, V91, P528, DOI 10.1038/sj.hdy.6800351
   Falconer D.S., 1975, Introduction to Quantitative Genetics
   FEAR CD, 1985, J AM SOC HORTIC SCI, V110, P262
   Fuhrman B., 2006, POMEGRANATES ANCIENT, P63
   GALLETTA G.J., 1996, Fruit Breeding, P1
   GRIFFING B., 1956, AUSTRALIAN JOUR BIOL SCI, V9, P463
   Holland D., 2009, Horticultural Reviews, V35, P127
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   HUMMEL RL, 1982, THEOR APPL GENET, V62, P385, DOI 10.1007/BF00275112
   JALIKOP SH, 1990, J HORTIC SCI BIOTECH, V65, P221, DOI 10.1080/00221589.1990.11516050
   KEMPTHORNE O, 1961, BIOMETRICS, V17, P229, DOI 10.2307/2527989
   LEVITT J., 1936, CANADIAN JOUR RES SEC C BOT SCI, V14, P267
   Lim C. C., 1998, American Rhododendron Society Journal, V52, P143
   LUBY JJ, 1991, HORTSCIENCE, V26, P507, DOI 10.21273/HORTSCI.26.5.507
   Machikowa T., 2011, Journal of Agricultural Science (Toronto), V3, P91
   O'Neill GA, 2001, FOREST ECOL MANAG, V149, P305, DOI 10.1016/S0378-1127(00)00564-8
   Owens CL, 2005, HORTSCIENCE, V40, P1950, DOI 10.21273/HORTSCI.40.7.1950
   QUAMME HA, 1978, PLANT COLD HARDINESS, P313
   Sanghera GS, 2011, CURR GENOMICS, V12, P30, DOI 10.2174/138920211794520178
   Snape J. W., 1997, Acta Agronomica Hungarica, V45, P265
   Soloklui AAG, 2012, HORTSCIENCE, V47, P1821, DOI 10.21273/HORTSCI.47.12.1821
   Sprague G. F., 1942, JOUR AMER SOC AGRON, V34, P923
   Steponkus P.L., 1978, ADV AGRON, V30, P51
   STONE JM, 1993, P NATL ACAD SCI USA, V90, P7869, DOI 10.1073/pnas.90.16.7869
   Tang X., 2002, U HELSINKI SECTION P, V11, P1
   Thomashow MF, 1999, ANNU REV PLANT PHYS, V50, P571, DOI 10.1146/annurev.arplant.50.1.571
   TIBBITS WN, 1991, THEOR APPL GENET, V83, P126, DOI 10.1007/BF00229235
   WATKINS R, 1970, THEOR APPL GENET, V40, P195, DOI 10.1007/BF00285242
NR 33
TC 5
Z9 7
U1 0
U2 10
PU AMER SOC HORTICULTURAL SCIENCE
PI ALEXANDRIA
PA 113 S WEST ST, STE 200, ALEXANDRIA, VA 22314-2851 USA
SN 0018-5345
EI 2327-9834
J9 HORTSCIENCE
JI Hortscience
PD APR
PY 2018
VL 53
IS 4
BP 427
EP 431
DI 10.21273/HORTSCI12763-17
PG 5
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GD7FF
UT WOS:000430675100003
OA gold
DA 2025-01-10
ER

PT J
AU Campbell, LK
   Svendsen, ES
   Sonti, NF
   Johnson, ML
AF Campbell, Lindsay K.
   Svendsen, Erika S.
   Sonti, Nancy F.
   Johnson, Michelle L.
TI A social assessment of urban parkland: Analyzing park use and meaning to
   inform management and resilience planning
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Cultural ecosystem services; Social assessment; Resilience planning;
   Park management; Social meaning
ID ECOSYSTEM SERVICES; NEW-YORK; GREEN SPACE; GOVERNANCE; VALUES; SCALE;
   STEWARDSHIP; FRAMEWORK; DYNAMICS; RESOURCE
AB Globally, municipalities are tackling climate adaptation and resilience planning. Urban green space has crucial biophysical buffering capacities, but also affects social interactions and human well-being. This paper considers the social dimension of urban green space, through an assessment focused on park use, function, and meanings, and compares results to categories of cultural ecosystem services. We develop a mixed-method approach for assessment of uses and social meanings of parkland and pilot this method in 2140 acres of parkland in waterfront neighborhoods surrounding New York City's Jamaica Bay, an area heavily affected by Hurricane Sandy. This method combines observation of human activities and signs of prior human use with structured interviews of park users. We find that urban parkland is a crucial form of 'nearby nature' that provides space for recreation, activities, socialization, and environmental engagement and supports place attachment and social ties. We show that parks, through their use by and interactions with humans, are producing vital cultural ecosystem services that may help to strengthen social resilience. Certain services were more easily detectable than others via our assessment technique, including recreation, social relations, and sense of place. The assessment method was designed to be spatially explicit, scalable, and replicable; natural resource managers engaged in park management and/or resilience planning could apply this method across individual sites, in particular districts-such as vulnerable waterfront areas, and citywide. This study demonstrates a way in which cultural ecosystem services and an understanding of social meaning could be incorporated into park management and, resilience planning. Published by Elsevier Ltd.
C1 [Campbell, Lindsay K.; Svendsen, Erika S.; Johnson, Michelle L.] USDA Forest Serv Northern Res Stn, New York City Urban Field Stn, 431 Walter Reed Rd, Bayside, NY 11359 USA.
   [Sonti, Nancy F.] USDA Forest Serv Northern Res Stn, Baltimore Field Stn, Baltimore, MD 21228 USA.
RP Campbell, LK (corresponding author), USDA Forest Serv Northern Res Stn, New York City Urban Field Stn, 431 Walter Reed Rd, Bayside, NY 11359 USA.
EM lindsaycampbell@fs.fed.us; esvendsen@fs.fed.us; nancyfsonti@fs.fed.us;
   michelleljohnson@fs.fed.us
OI Johnson, Michelle/0000-0002-6994-3766
FU Mayor's Fund to Advance New York City
FX The authors would like to thank the NYC Department of Parks and
   Recreation, the Natural Areas Conservancy, the US Forest Service, and
   the Jamaica Bay Restoration Corps. The Mayor's Fund to Advance New York
   City supported this project. Special acknowledgment to David Maddox,
   Gillian Baine, and the field research team. Thanks to J. Morgan Grove,
   who provided comments on an earlier draft.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   [Anonymous], J NAT RESOUR POLICY
   [Anonymous], HLTH RES SUST COMM D
   [Anonymous], ERKUNDE
   [Anonymous], 2010, PROC PLANYC CIT NEW
   [Anonymous], GREENING RED ZONE DI
   [Anonymous], 2003, FIELD METHOD, DOI DOI 10.1177/1525822X02239569
   [Anonymous], 2007, PLANYC GREATER GREEN
   [Anonymous], THESIS
   [Anonymous], GEOJOURNAL
   [Anonymous], PNWGTR880 USDA FOR S
   [Anonymous], 2003, RURAL SOCIOL
   [Anonymous], PROGR HUMAN GEOGRAPH
   [Anonymous], UK NATL ECOSYSTEM AS
   [Anonymous], 2013, A Stronger, More Resilient New York
   [Anonymous], PRELIMINARY MAYORS M
   [Anonymous], EC HUM WELLB
   [Anonymous], 2013, Nature's services: Societal dependence on natural ecosystems (1997), DOI DOI 10.12987/9780300188479-039
   [Anonymous], GREENING RED ZONE DI
   [Anonymous], AM J PUBLIC HLTH
   [Anonymous], CONTRIBUTIONS SOCIOL
   [Anonymous], J ETHNOBIOLOGY UNPUB
   [Anonymous], CENS PL SF1 FIL
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Baran PK, 2014, ENVIRON BEHAV, V46, P768, DOI 10.1177/0013916512470134
   BEEBE J, 1995, HUM ORGAN, V54, P42, DOI 10.17730/humo.54.1.k84tv883mr2756l3
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Borgström ST, 2006, ECOL SOC, V11
   Botton ML, 2006, ESTUAR COAST, V29, P820, DOI 10.1007/BF02786533
   Bradshaw Matt., 2005, Qualitative Research Methods in Human Geography, V2nd, P67
   Brown G, 2000, FOREST SCI, V46, P240
   Brown G, 2012, SOC NATUR RESOUR, V25, P633, DOI 10.1080/08941920.2011.621511
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   BURGESS J, 1988, URBAN STUD, V25, P455, DOI 10.1080/00420988820080631
   Byrne J, 2009, PROG HUM GEOG, V33, P743, DOI 10.1177/0309132509103156
   Campbell LK, 2015, URBAN FORESTS, TREES, AND GREENSPACE: A POLITICAL ECOLOGY PERSPECTIVE, P242
   Cash DW, 2006, ECOL SOC, V11
   Chan J, 2015, URBAN FOR URBAN GREE, V14, P625, DOI 10.1016/j.ufug.2015.06.005
   Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7
   Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Daniel TC, 2012, P NATL ACAD SCI USA, V109, P8812, DOI 10.1073/pnas.1114773109
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Ernstson H, 2010, ECOL SOC, V15
   Fagerholm N, 2012, ECOL INDIC, V18, P421, DOI 10.1016/j.ecolind.2011.12.004
   FIELD DR, 1973, J LEISURE RES, V5, P16, DOI 10.1080/00222216.1973.11970124
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Fisher D.R., 2011, Environmental Stewardship Project at the Center for Society and Environment of the University of Maryland White Paper, V1, P36
   Fisher DR, 2012, ENVIRON POLIT, V21, P26, DOI 10.1080/09644016.2011.643367
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Garrett JL, 2002, HUM ORGAN, V61, P314, DOI 10.17730/humo.61.4.7t8t44447kv6wbk2
   Gee K, 2010, ECOL COMPLEX, V7, P349, DOI 10.1016/j.ecocom.2010.02.008
   Gehl J., 1987, Life between buildings, VVolume 23
   Gomez-Baggethun Erik, 2013, P175
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Haines-Young R., 2011, COMMON INT CLASSIFIC
   Hernández-Morcillo M, 2013, ECOL INDIC, V29, P434, DOI 10.1016/j.ecolind.2013.01.013
   Ibes D C., 2011, Cities and the Environment (CATE), V4, P7, DOI DOI 10.15365/CATE.4172011
   Irvine KN, 2013, INT J ENV RES PUB HE, V10, P417, DOI 10.3390/ijerph10010417
   Kazmierczak A, 2013, LANDSCAPE URBAN PLAN, V109, P31, DOI 10.1016/j.landurbplan.2012.05.007
   Kearns Robin., 2005, QUALITATIVE RES METH, V2nd, P192
   Krasny ME, 2014, ECOSYST SERV, V7, P177, DOI 10.1016/j.ecoser.2013.11.002
   Lee R.G., 1972, Social behavior, natural resources, and environment, P68
   Lofland John., 2005, Analyzing Social Settings: A Guide to Qualitative Observation and Analysis, V4th
   LOUKAITOUSIDERIS A, 1995, J PLAN EDUC RES, V14, P89, DOI 10.1177/0739456X9501400202
   Makinen Kirsi, 2008, Urban Forestry & Urban Greening, V7, P277, DOI 10.1016/j.ufug.2008.07.003
   McNall M, 2007, AM J EVAL, V28, P151, DOI 10.1177/1098214007300895
   McPhearson T, 2014, AMBIO, V43, P502, DOI 10.1007/s13280-014-0509-8
   Milcu AI, 2013, ECOL SOC, V18, DOI 10.5751/ES-05790-180344
   Minteer B, 2011, BIOL CONSERV, V144, P945, DOI 10.1016/j.biocon.2010.07.027
   Peters K, 2010, URBAN FOR URBAN GREE, V9, P93, DOI 10.1016/j.ufug.2009.11.003
   Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013
   Rall EL, 2011, LANDSCAPE URBAN PLAN, V100, P189, DOI 10.1016/j.landurbplan.2010.12.004
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   Sampson RJ, 1999, AM J SOCIOL, V105, P603, DOI 10.1086/210356
   Satterfield T, 2013, J ENVIRON MANAGE, V117, P103, DOI 10.1016/j.jenvman.2012.11.033
   SCHROEDER HW, 1991, J ENVIRON PSYCHOL, V11, P231, DOI 10.1016/S0272-4944(05)80185-9
   Stedman RC, 2003, SOC NATUR RESOUR, V16, P671, DOI 10.1080/08941920309189
   Taylor NicholasC., 1995, Social assessment: Theory, process techniques, Vsecond
   TEEB-The Economics of Ecosystems and Biodiversity, 2010, The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A synthesis of the approach, conclusions and recommendations of TEEB
   Tidball K, 2013, ECOL ECON, V86, P292, DOI 10.1016/j.ecolecon.2012.10.004
   Tidball KG, 2010, ENVIRON EDUC RES, V16, P591, DOI 10.1080/13504622.2010.505437
   Tuan Yi-Fu., 1971, Canadian Geographer, V15, P181, DOI [DOI 10.1111/J.1541-0064.1971.TB00156.X, 10.1111/j.1541-0064.1971.tb00156.x]
   Tyrväinen L, 2007, LANDSCAPE URBAN PLAN, V79, P5, DOI 10.1016/j.landurbplan.2006.03.003
   van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002
   Williams D.R., 1993, Culture, Conflict and Communication in the Wildland-Urban Interface, P209
NR 92
TC 110
Z9 126
U1 8
U2 235
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 AUG
PY 2016
VL 62
SI SI
BP 34
EP 44
DI 10.1016/j.envsci.2016.01.014
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DQ1JC
UT WOS:000378956300005
DA 2025-01-10
ER

PT J
AU Kubrak, OI
   Kucerová, L
   Theopold, U
   Nässel, DR
AF Kubrak, Olga I.
   Kucerova, Lucie
   Theopold, Ulrich
   Nassel, Dick R.
TI The Sleeping Beauty: How Reproductive Diapause Affects Hormone
   Signaling, Metabolism, Immune Response and Somatic Maintenance in
   <i>Drosophila melanogaster</i>
SO PLOS ONE
LA English
DT Article
ID INSULIN-LIKE PEPTIDE; MOSQUITO CULEX-PIPIENS; EXTENDS LIFE-SPAN;
   GENE-EXPRESSION; INSECT DIAPAUSE; OVERWINTERING DIAPAUSE;
   CAENORHABDITIS-ELEGANS; NUTRIENT AVAILABILITY; CLIMATIC ADAPTATION;
   CELL-PROLIFERATION
AB Some organisms can adapt to seasonal and other environmental challenges by entering a state of dormancy, diapause. Thus, insects exposed to decreased temperature and short photoperiod enter a state of arrested development, lowered metabolism, and increased stress resistance. Drosophila melanogaster females can enter a shallow reproductive diapause in the adult stage, which drastically reduces organismal senescence, but little is known about the physiology and endocrinology associated with this dormancy, and the genes involved in its regulation. We induced diapause in D. melanogaster and monitored effects over 12 weeks on dynamics of ovary development, carbohydrate and lipid metabolism, as well as expression of genes involved in endocrine signaling, metabolism and innate immunity. During diapause food intake diminishes drastically, but circulating and stored carbohydrates and lipids are elevated. Gene transcripts of glucagonand insulin-like peptides increase, and expression of several target genes of these peptides also change. Four key genes in innate immunity can be induced by infection in diapausing flies, and two of these, drosomycin and cecropin A1, are upregulated by diapause independently of infection. Diapausing flies display very low mortality, extended lifespan and decreased aging of the intestinal epithelium. Many phenotypes induced by diapause are reversed after one week of recovery from diapause conditions. Furthermore, mutant flies lacking specific insulin-like peptides (dilp5 and dilp2-3) display increased diapause incidence. Our study provides a first comprehensive characterization of reproductive diapause in D. melanogaster, and evidence that glucagon- and insulin-like signaling are among the key regulators of the altered physiology during this dormancy.
C1 [Kubrak, Olga I.; Nassel, Dick R.] Stockholm Univ, Dept Zool, S-10691 Stockholm, Sweden.
   [Kucerova, Lucie; Theopold, Ulrich] Stockholm Univ, Wenner Gren Inst, Dept Mol Biosci, S-10691 Stockholm, Sweden.
C3 Stockholm University; Stockholm University
RP Nässel, DR (corresponding author), Stockholm Univ, Dept Zool, S-10691 Stockholm, Sweden.
EM dnassel@zoologi.su.se
RI Theopold, Ulrich/P-7205-2015; Kucerova, Lucie/N-1176-2016
OI Theopold, Ulrich/0000-0002-1009-8254; Kucerova,
   Lucie/0000-0002-6382-4467
FU Swedish Research Council [VR-2012-3715, VR-2010-5988, VR-2010-5742];
   Knut and Alice Wallenberg Foundation [KAW2012.0058]; Swedish Foundation
   for International Cooperation in Research and Higher Education
   [IG2011-2042]; Swedish Institute [00197/2012]
FX The work was supported by the following: Swedish Research Council
   (projects VR-2012-3715, VR-2010-5988 and VR-2010-5742) to D.R.N., U.T.
   and Soren Nylin,
   http://www.vr.se/inenglish.4.12fff4451215cbd83e4800015152.html; The Knut
   and Alice Wallenberg Foundation (KAW2012.0058; Soren Nylin),
   https://www.wallenberg.com/kaw/en; Swedish Foundation for International
   Cooperation in Research and Higher Education (IG2011-2042) to U.T.,
   http://www.stint.se/en/; and The Swedish Institute (Visby Program:
   00197/2012) to O.I.K., https://eng.si.se/. The funders had no role in
   study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Allen MJ, 2007, FLY, V1, P307, DOI 10.4161/fly.5532
   Anaka M, 2008, J NEUROGENET, V22, P243, DOI 10.1080/01677060802309629
   [Anonymous], 1970, OVARIAN DEV DROSOPHI
   Antonova Y, 2012, INSECT ENDOCRINOLOGY, V2, P63, DOI [10.1016/b978-0-12384749-2.10002-0, DOI 10.1016/B978-0-12384749-2.10002-0, 10.1016/B978-0-12-384749-2.10002-0, DOI 10.1016/B978-0-12-384749-2.10002-0]
   Ayyaz A, 2013, FRONT CELL INFECT MI, V3, DOI 10.3389/fcimb.2013.00098
   Bai H, 2012, AGING CELL, V11, P978, DOI 10.1111/acel.12000
   Baker DA, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-242
   Baker KD, 2007, CELL METAB, V6, P257, DOI 10.1016/j.cmet.2007.09.002
   Becker T, 2010, NATURE, V463, P369, DOI 10.1038/nature08698
   Bednárová A, 2013, COMP BIOCHEM PHYS A, V164, P91, DOI 10.1016/j.cbpa.2012.10.012
   Bernal A, 2000, P NATL ACAD SCI USA, V97, P6019, DOI 10.1073/pnas.100391597
   Bharucha KN, 2008, J EXP BIOL, V211, P3103, DOI 10.1242/jeb.016451
   Biteau B, 2011, EXP GERONTOL, V46, P349, DOI 10.1016/j.exger.2010.11.003
   Biteau B, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001159
   Borycz J, 2008, J EXP BIOL, V211, P3454, DOI 10.1242/jeb.021162
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   BRAND AH, 1993, DEVELOPMENT, V118, P401
   Brogiolo W, 2001, CURR BIOL, V11, P213, DOI 10.1016/S0960-9822(01)00068-9
   Broughton SJ, 2005, P NATL ACAD SCI USA, V102, P3105, DOI 10.1073/pnas.0405775102
   Broughton S, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003721
   Brummel T, 2004, P NATL ACAD SCI USA, V101, P12974, DOI 10.1073/pnas.0405207101
   Buch S, 2008, CELL METAB, V7, P321, DOI 10.1016/j.cmet.2008.02.012
   Cao C, 2001, CELL TISSUE RES, V304, P317, DOI 10.1007/s004410100367
   CASSADA RC, 1975, DEV BIOL, V46, P326, DOI 10.1016/0012-1606(75)90109-8
   Chippendale GM, 1966, J INSECT PHYSL, V13, P995
   Choi NH, 2011, P NATL ACAD SCI USA, V108, P18702, DOI 10.1073/pnas.1109348108
   Cognigni P, 2011, CELL METAB, V13, P92, DOI 10.1016/j.cmet.2010.12.010
   Colombani J, 2012, SCIENCE, V336, P582, DOI 10.1126/science.1216689
   Crowe JH, 2007, ADV EXP MED BIOL, V594, P143
   Danks HV, 2000, J INSECT PHYSIOL, V46, P837, DOI 10.1016/S0022-1910(99)00204-8
   Dantoft W, 2013, BMC BIOL, V11, DOI 10.1186/1741-7007-11-99
   De Gregorio E, 2002, EMBO J, V21, P2568, DOI 10.1093/emboj/21.11.2568
   Demontis F, 2010, CELL, V143, P813, DOI 10.1016/j.cell.2010.10.007
   Denlinger DL, 2002, ANNU REV ENTOMOL, V47, P93, DOI 10.1146/annurev.ento.47.091201.145137
   Emerson KJ, 2009, J COMP PHYSIOL A, V195, P825, DOI 10.1007/s00359-009-0460-5
   Emerson KJ, 2009, TRENDS GENET, V25, P217, DOI 10.1016/j.tig.2009.03.009
   Engström Y, 1999, DEV COMP IMMUNOL, V23, P345, DOI 10.1016/S0145-305X(99)00016-6
   Ewart GD, 1998, METHOD ENZYMOL, V292, P213
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Flatt T, 2005, BIOESSAYS, V27, P999, DOI 10.1002/bies.20290
   Flatt T, 2013, Q REV BIOL, V88, P185, DOI 10.1086/671484
   Fontana L, 2010, SCIENCE, V328, P321, DOI 10.1126/science.1172539
   Garofalo RS, 2002, TRENDS ENDOCRIN MET, V13, P156, DOI 10.1016/S1043-2760(01)00548-3
   Gasque G, 2013, SCI REP, V3, DOI DOI 10.1038/SREP02120
   Géminard C, 2006, DIABETES, V55, pS5, DOI 10.2337/db06-S001
   Giannakou ME, 2007, TRENDS BIOCHEM SCI, V32, P180, DOI 10.1016/j.tibs.2007.02.007
   Grönke S, 2007, PLOS BIOL, V5, P1248, DOI 10.1371/journal.pbio.0050137
   Grönke S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000857
   Grönke S, 2005, CELL METAB, V1, P323, DOI 10.1016/j.cmet.2005.04.003
   Hahn DA, 2007, J INSECT PHYSIOL, V53, P760, DOI 10.1016/j.jinsphys.2007.03.018
   Hahn DA, 2011, ANNU REV ENTOMOL, V56, P103, DOI 10.1146/annurev-ento-112408-085436
   Hamasaka Y, 2006, J COMP NEUROL, V494, P314, DOI 10.1002/cne.20807
   Huser A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047518
   Ikeya T, 2002, CURR BIOL, V12, P1293, DOI 10.1016/S0960-9822(02)01043-6
   Isabel G, 2005, AM J PHYSIOL-REG I, V288, pR531, DOI 10.1152/ajpregu.00158.2004
   Jiang HQ, 2009, CELL, V137, P1343, DOI 10.1016/j.cell.2009.05.014
   Kaletsky R, 2010, DIS MODEL MECH, V3, P415, DOI 10.1242/dmm.001040
   KENYON C, 1993, NATURE, V366, P461, DOI 10.1038/366461a0
   Kim SK, 2004, NATURE, V431, P316, DOI 10.1038/nature02897
   Kimura KD, 1997, SCIENCE, V277, P942, DOI 10.1126/science.277.5328.942
   KLEMENZ R, 1987, NUCLEIC ACIDS RES, V15, P3947, DOI 10.1093/nar/15.10.3947
   Krstic D, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0077904
   Lee GH, 2004, GENETICS, V167, P311, DOI 10.1534/genetics.167.1.311
   LEFEVERE KS, 1989, J INSECT PHYSIOL, V35, P121, DOI 10.1016/0022-1910(89)90045-0
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   MacRae TH, 2010, CELL MOL LIFE SCI, V67, P2405, DOI 10.1007/s00018-010-0311-0
   McLeod CJ, 2010, CURR BIOL, V20, P2100, DOI 10.1016/j.cub.2010.10.038
   Nässel DR, 2010, PROG NEUROBIOL, V92, P42, DOI 10.1016/j.pneurobio.2010.04.010
   Nylin S, 2013, PHYSIOL ENTOMOL, V38, P96, DOI 10.1111/phen.12014
   O'Brien LE, 2011, CELL, V147, P603, DOI 10.1016/j.cell.2011.08.048
   Ohlstein B, 2006, NATURE, V439, P470, DOI 10.1038/nature04333
   Okamoto N, 2009, DEV CELL, V17, P885, DOI 10.1016/j.devcel.2009.10.008
   Okamura T, 2007, MOL BIOL CELL, V18, P1519, DOI 10.1091/mbc.E06-10-0909
   Owusu-Ansah E, 2014, DIS MODEL MECH, V7, P343, DOI 10.1242/dmm.012989
   Padmanabha D, 2014, TRENDS ENDOCRINOL ME
   Park MS, 2008, J INSECT PHYSIOL, V54, P386, DOI 10.1016/j.jinsphys.2007.10.011
   Poelchau MF, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0143
   Poelchau MF, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-619
   Puig O, 2006, CELL CYCLE, V5, P503, DOI 10.4161/cc.5.5.2501
   Ragland GJ, 2011, J EXP BIOL, V214, P3948, DOI 10.1242/jeb.061085
   Rajan A, 2012, CELL, V151, P123, DOI 10.1016/j.cell.2012.08.019
   Rajan A, 2011, DEV CELL, V21, P29, DOI 10.1016/j.devcel.2011.06.034
   Reshef L, 2003, J BIOL CHEM, V278, P30413, DOI 10.1074/jbc.R300017200
   Rulifson EJ, 2002, SCIENCE, V296, P1118, DOI 10.1126/science.1070058
   Ryu JH, 2008, SCIENCE, V319, P777, DOI 10.1126/science.1149357
   SAUNDERS DS, 1989, P NATL ACAD SCI USA, V86, P3748, DOI 10.1073/pnas.86.10.3748
   SAUNDERS DS, 1990, GEN COMP ENDOCR, V79, P174, DOI 10.1016/0016-6480(90)90102-R
   SAUNDERS DS, 1990, J BIOL RHYTHM, V5, P315, DOI 10.1177/074873049000500404
   Schiesari L, 2011, FEBS LETT, V585, P1450, DOI 10.1016/j.febslet.2011.02.026
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2005, EVOLUTION, V59, P2616, DOI 10.1111/j.0014-3820.2005.tb00974.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Shimada Y, 2011, DEV BIOL, V355, P250, DOI 10.1016/j.ydbio.2011.04.022
   Sim C, 2009, INSECT MOL BIOL, V18, P325, DOI 10.1111/j.1365-2583.2009.00872.x
   Sim C, 2008, P NATL ACAD SCI USA, V105, P6777, DOI 10.1073/pnas.0802067105
   Sim C, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00189
   Skorupa DA, 2008, AGING CELL, V7, P478, DOI 10.1111/j.1474-9726.2008.00400.x
   Slaidina M, 2009, DEV CELL, V17, P874, DOI 10.1016/j.devcel.2009.10.009
   Spiegelman BM, 2001, CELL, V104, P531, DOI 10.1016/S0092-8674(01)00240-9
   Stoffolano JG, 2013, ANNU REV ENTOMOL, V58, P205, DOI 10.1146/annurev-ento-120811-153653
   Storey K.B., 1991, P64
   Storey KR, 2010, TOP CURR GENET, V21, P227, DOI 10.1007/978-3-642-12422-8_13
   Tatar M, 2001, SCIENCE, V292, P107, DOI 10.1126/science.1057987
   Tatar M, 2001, EXP GERONTOL, V36, P723, DOI 10.1016/S0531-5565(00)00238-2
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Tauber M.J., 1986, SEASONAL ADAPTATIONS
   Teleman AA, 2010, BIOCHEM J, V425, P13, DOI 10.1042/BJ20091181
   Tettweiler G, 2005, GENE DEV, V19, P1840, DOI 10.1101/gad.1311805
   Toivonen JM, 2009, MOL CELL ENDOCRINOL, V299, P39, DOI 10.1016/j.mce.2008.07.005
   Williams KD, 2006, P NATL ACAD SCI USA, V103, P15911, DOI 10.1073/pnas.0604592103
   WILLIAMS KD, 1993, HEREDITY, V71, P312, DOI 10.1038/hdy.1993.141
   Wong R, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006063
   WU CF, 1977, J GEN PHYSIOL, V69, P705, DOI 10.1085/jgp.69.6.705
   Zaidman-Rémy A, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017231
NR 114
TC 102
Z9 114
U1 3
U2 86
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD NOV 13
PY 2014
VL 9
IS 11
AR e113051
DI 10.1371/journal.pone.0113051
PG 26
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA AY6YT
UT WOS:000347709300138
PM 25393614
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Bosshard, T
   Carambia, M
   Goergen, K
   Kotlarski, S
   Krahe, P
   Zappa, M
   Schär, C
AF Bosshard, T.
   Carambia, M.
   Goergen, K.
   Kotlarski, S.
   Krahe, P.
   Zappa, M.
   Schaer, C.
TI Quantifying uncertainty sources in an ensemble of hydrological
   climate-impact projections
SO WATER RESOURCES RESEARCH
LA English
DT Article
ID WATER-RESOURCES MANAGEMENT; MODEL; FUTURE; EVAPOTRANSPIRATION;
   PRECIPITATION; SIMULATIONS; SCENARIOS; DISCHARGE
AB The quantification of uncertainties in projections of climate impacts on river streamflow is highly important for climate adaptation purposes. In this study, we present a methodology to separate uncertainties arising from the climate model (CM), the statistical postprocessing (PP) scheme, and the hydrological model (HM). We analyzed ensemble projections of hydrological changes in the Alpine Rhine (Eastern Switzerland) for the near-term and far-term scenario periods 2024-2050 and 2073-2099 with respect to 1964-1990. For the latter scenario period, the model ensemble projects a decrease of daily mean runoff in summer (-32.2%, range [-45.5% to -8.1%]) and an increase in winter (+41.8%, range [+4.8% to +81.7%]). We applied an analysis of variance model combined with a subsampling procedure to assess the importance of different uncertainty sources. The CMs generally are the dominant source in summer and autumn, whereas, in winter and spring, the uncertainties due to the HMs and the statistical PP gain importance and even partly dominate. In addition, results show that the individual uncertainties from the three components are not additive. Rather, the associated interactions among the CM, the statistical PP scheme, and the HM account for about 5%-40% of the total ensemble uncertainty. The results indicate, in distinction to some previous studies, that none of the investigated uncertainty sources are negligible, and some of the uncertainty is not attributable to individual modeling chain components but rather depends upon interactions. Citation: Bosshard, T., M. Carambia, K. Goergen, S. Kotlarski, P. Krahe, M. Zappa, and C. Schar (2013), Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections, Water Resour. Res., 49, 1523-1536, doi: 10.1029/2011WR011533.
C1 [Bosshard, T.; Kotlarski, S.; Schaer, C.] ETH, Inst Atmospher & Climate Sci, Zurich, Switzerland.
   [Carambia, M.; Krahe, P.] German Fed Inst Hydrol, Koblenz, Germany.
   [Goergen, K.] Ctr Rech Publ Gabriel Lippmann, Dept Environm & Agrobiotechnol EVA, Belvaux, Luxembourg.
   [Zappa, M.] Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; Luxembourg
   Institute of Science & Technology; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute for Forest, Snow & Landscape
   Research
RP Bosshard, T (corresponding author), Swedish Meteorol & Hydrol Inst, Hydrol Res Unit, Folkborgsvagen 1, SE-60176 Norrkoping, Sweden.
EM thomas.bosshard@smhi.se
RI Kotlarski, Sven/ACS-5799-2022; Schar, Christoph/A-1033-2008; Zappa,
   Massimiliano/C-1205-2009; Goergen, Klaus/A-4655-2017
OI Zappa, Massimiliano/0000-0002-2837-8190; Goergen,
   Klaus/0000-0002-4208-3444
FU EU FP6 Integrated Project ENSEMBLES [505539]
FX The ENSEMBLES data used in this work were funded by the EU FP6
   Integrated Project ENSEMBLES (contract 505539) whose support is
   gratefully acknowledged. We are also thankful for the RheinBlick2050,
   CLIMPACT (FNR C09/SR/16), the KLIWAS, the AdaptAlp, and the CCHydro
   projects that fostered collaboration. The observational data were
   provided by MeteoSwiss, the Swiss Federal Office of Meteorology and
   Climatology, the Swiss Federal Office for the Environment and the CHR.
   We would also like to thank the Seminar for Statistics of the ETH Zurich
   for its assistance. The Center for Climate Systems Modeling (C2SM) at
   ETH Zurich is acknowledged for providing technical and scientific
   support.
CR [Anonymous], SWISS CLIM CHANG SCE
   [Anonymous], 1997, THESIS ETH ZURICH ZU
   Bellprat O, 2012, J CLIMATE, V25, P4582, DOI 10.1175/JCLI-D-11-00275.1
   Beven K, 2006, J HYDROL, V320, P18, DOI 10.1016/j.jhydrol.2005.07.007
   BEVEN K, 1992, HYDROL PROCESS, V6, P279, DOI 10.1002/hyp.3360060305
   Blöschl G, 2010, HYDROL PROCESS, V24, P374, DOI 10.1002/hyp.7574
   Boberg F, 2012, NAT CLIM CHANGE, V2, P433, DOI 10.1038/NCLIMATE1454
   Bosshard T, 2011, HYDROL EARTH SYST SC, V15, P2777, DOI 10.5194/hess-15-2777-2011
   Buser CM, 2009, CLIM DYNAM, V33, P849, DOI 10.1007/s00382-009-0588-6
   Campbell JL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009438
   Coron L, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011721
   Déqué M, 2007, CLIMATIC CHANGE, V81, P53, DOI 10.1007/s10584-006-9228-x
   Déqué M, 2012, CLIM DYNAM, V38, P951, DOI 10.1007/s00382-011-1053-x
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Eberle M., 2005, 2555 BFGJAP
   Finger D, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010733
   Gorgen K., 2010, Rapport I-23
   Graham LP, 2007, CLIMATIC CHANGE, V81, P97, DOI 10.1007/s10584-006-9217-0
   Gurtz J, 1999, HYDROL PROCESS, V13, P2751, DOI 10.1002/(SICI)1099-1085(19991215)13:17<2751::AID-HYP897>3.0.CO;2-O
   Horton P, 2006, HYDROL PROCESS, V20, P2091, DOI 10.1002/hyp.6197
   Jasper K, 2004, CLIM RES, V26, P113, DOI 10.3354/cr026113
   Jung IW, 2011, HYDROL EARTH SYST SC, V15, P617, DOI 10.5194/hess-15-617-2011
   Kay AL, 2009, CLIMATIC CHANGE, V92, P41, DOI 10.1007/s10584-008-9471-4
   Knutti R, 2008, PHILOS T R SOC A, V366, P4647, DOI 10.1098/rsta.2008.0169
   Köplin N, 2012, HYDROL EARTH SYST SC, V16, P2267, DOI 10.5194/hess-16-2267-2012
   Korck J., 2011, CLIMATE ADAPTATION N
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Kundzewicz ZW, 2010, HYDROLOG SCI J, V55, P1085, DOI 10.1080/02626667.2010.513211
   Lenderink G, 2007, HYDROL EARTH SYST SC, V11, P1143
   Lindstrom G, 1997, J HYDROL, V201, P272, DOI 10.1016/S0022-1694(97)00041-3
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   Lucas-Picher P, 2008, CLIM DYNAM, V31, P927, DOI 10.1007/s00382-008-0384-8
   Margot A., 1992, HYDROLOGISCHER ATLAS
   Masson D, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL046864
   Merz R, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009505
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Nakicenovic N., 2000, IPCC Special Report on Emissions Scenarios (SRES)
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Pappenberger F, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004820
   Prein AF, 2011, METEOROL Z, V20, P383, DOI 10.1127/0941-2948/2011/0286
   Prudhomme C, 2009, CLIMATIC CHANGE, V93, P177, DOI 10.1007/s10584-008-9464-3
   Quintana-Seguí P, 2011, NAT HAZARD EARTH SYS, V11, P1411, DOI 10.5194/nhess-11-1411-2011
   Schaefli B, 2007, HYDROL EARTH SYST SC, V11, P1191, DOI 10.5194/hess-11-1191-2007
   Seiller G, 2012, HYDROL EARTH SYST SC, V16, P1171, DOI 10.5194/hess-16-1171-2012
   Sevruk B, 1998, WATER SCI TECHNOL, V37, P163, DOI 10.1016/S0273-1223(98)00329-1
   Shabalova MV, 2003, CLIMATE RES, V23, P233, DOI 10.3354/cr023233
   Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052
   van der Linden P., 2009, ENSEMBLES CLIMATE CH
   Verbunt A, 2005, ECOL MODEL, V187, P71, DOI 10.1016/j.ecolmodel.2005.01.027
   Verbunt M, 2006, J HYDROL, V324, P224, DOI 10.1016/j.jhydrol.2005.09.036
   Vicuna S, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007838
   Viviroli D, 2009, ENVIRON MODELL SOFTW, V24, P1209, DOI 10.1016/j.envsoft.2009.04.001
   von Storch H., 1999, Statistical Analysis in Climate Research
   Wilby RL, 2010, HYDROLOG SCI J, V55, P1090, DOI 10.1080/02626667.2010.513212
   Wilby RL, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004065
   Yip S, 2011, J CLIMATE, V24, P4634, DOI 10.1175/2011JCLI4085.1
   Zappa M, 2003, HYDROL EARTH SYST SC, V7, P903, DOI 10.5194/hess-7-903-2003
NR 57
TC 285
Z9 299
U1 2
U2 108
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0043-1397
EI 1944-7973
J9 WATER RESOUR RES
JI Water Resour. Res.
PD MAR
PY 2013
VL 49
IS 3
BP 1523
EP 1536
DI 10.1029/2011WR011533
PG 14
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA 129HM
UT WOS:000317829900021
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Roskilly, B
   Aitken, S
AF Roskilly, Beth
   Aitken, Sally
TI Weak Local Adaptation to Climate in Seedlings of a Deciduous Conifer
   Suggests Limited Benefits and Risks of Assisted Gene Flow
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE assisted migration; climate change; cold hardiness; ecological genetics;
   local adaptation; phenology
ID DOUGLAS-FIR; LARIX-OCCIDENTALIS; LODGEPOLE PINE; GROWTH; STRATEGIES;
   HARDINESS; RESPONSES; DISTANCE; IMPACTS
AB Assisted migration provides a potential solution to mitigate the increasing risks of forest maladaptation under climate change. Western larch (Larix occidentalis Nutt.) is a deciduous conifer species undergoing assisted migration beyond its natural range in British Columbia into areas that have become suitable based on climatic niche modelling. We established a seedling common garden experiment in raised beds in a warm location outside the natural range for three growing seasons, with 52 natural populations from across the species range and 28 selectively bred families from British Columbia. Intraspecific genetic variation in growth, phenology and cold hardiness was analyzed to test for signals of local adaptation and the effects of selective breeding to better understand the implications for assisted migration and breeding for future climates. We found weak differentiation among populations in all traits, with the proportion of additive genetic variance (QST) ranging from 0.10 to 0.28. Cold hardiness had the weakest population differentiation and exhibited no clines with geographic or climatic variables. Selective breeding for faster growth has maintained genetic variation in bud flush phenology and cold hardiness despite delaying bud set. The weak signals of local adaptation we found in western larch seedlings highlights that assisted gene flow among populations is likely to have limited benefits and risks for mitigating maladaptation with climate change. Our findings suggest that assisted migration outside of the range and selective breeding may be important management strategies for western larch for future climates.
C1 [Roskilly, Beth; Aitken, Sally] Univ British Columbia, Forest & Conservat Sci, Vancouver, BC, Canada.
   [Roskilly, Beth] US Forest Serv, USDA, Pacific Northwest Res Stn, Corvallis, OR 97331 USA.
C3 University of British Columbia; United States Department of Agriculture
   (USDA); United States Forest Service
RP Roskilly, B (corresponding author), Univ British Columbia, Forest & Conservat Sci, Vancouver, BC, Canada.; Roskilly, B (corresponding author), US Forest Serv, USDA, Pacific Northwest Res Stn, Corvallis, OR 97331 USA.
EM beth.roskilly@usda.gov
FU Faculty of Forestry, University of British Columbia; Genome Canada;
   Genome BC; Forest Genetics Council of British Columbia; International
   Doctoral Fellowship from UBC; Faculty of Forestry, and Sally Aitken's
   NSERC
FX This research was part of the CoAdapTree project co-led by Sally Aitken,
   Sam Yeaman, and Richard Hamelin, and funded by Genome Canada, Genome BC,
   the British Columbia Ministry of Forests and the Forest Genetics Council
   of British Columbia, among other sponsors (). Seeds were provided by 17
   companies and agencies in Canada and the United States (). Seeds from
   the breeding program in British Columbia were provided by Trevor
   Doerksen. Thanks to current and former members of the Aitken lab for
   their technical assistance and support, including Pia Smets, Dragana
   Vidakovic, Christine Chourmouzis, Martin Henry, Nina Andrascik, Thompson
   Harris, and Mark Dao. Brandon Lind, Rafael Candido-Ribeiro, and Ian
   MacLachlan provided valuable advice for the analyses. Rob Guy and Amy
   Angert provided helpful suggestions on the experimental design and data
   analyses. Thanks to Barry Jaquish, Greg O'Neill, Glenn Howe, and Hayley
   Tumas for their helpful comments on the manuscript. Beth Roskilly was
   supported by an International Doctoral Fellowship from UBC, the Faculty
   of Forestry, and Sally Aitken's NSERC Discovery Grant.
CR Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P3814, DOI 10.1111/gcb.12958
   Barber B., 2021, Progress Report 20182021
   BOND WJ, 1989, BIOL J LINN SOC, V36, P227, DOI 10.1111/j.1095-8312.1989.tb00492.x
   Butler D. G., 2018, ASRemlR Reference Manual Version 4, V176
   Candido-Ribeiro R, 2024, NEW PHYTOL, V241, P2395, DOI 10.1111/nph.19543
   Erlichman A, 2024, EVOL APPL, V17, DOI 10.1111/eva.13711
   FLINT HL, 1967, CAN J PLANT SCI, V47, P229, DOI 10.4141/cjps67-043
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Hannerz M, 1999, CAN J FOREST RES, V29, P509, DOI 10.1139/cjfr-29-4-509
   Hartmann H, 2022, ANNU REV PLANT BIOL, V73, P673, DOI 10.1146/annurev-arplant-102820-012804
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   KAYA Z, 1994, TREE PHYSIOL, V14, P1277, DOI 10.1093/treephys/14.11.1277
   Leites L, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16711
   Leites LP, 2012, NAT RESOUR MODEL, V25, P409, DOI 10.1111/j.1939-7445.2012.00129.x
   LEPAGE BA, 1995, USDA INTERM, V319, P19
   Liepe KJ, 2016, EVOL APPL, V9, P409, DOI 10.1111/eva.12345
   MacKenzie WH, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118705
   MacLachlan IR, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016900118
   MacLachlan IR, 2018, EVOL APPL, V11, P166, DOI 10.1111/eva.12525
   MacLachlan IR, 2017, FOREST ECOL MANAG, V391, P404, DOI 10.1016/j.foreco.2017.02.008
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Moran E, 2017, NEW PHYTOL, V216, P1034, DOI 10.1111/nph.14774
   Nuhu J., 2022, GENETIC VARIATION DR
   O'Neill G. A., 2017, A Proposed ClimateBased Seed Transfer System for British Columbia
   O'Neill GA, 2014, FOREST ECOL MANAG, V328, P122, DOI 10.1016/j.foreco.2014.05.039
   Panchen ZA, 2014, NEW PHYTOL, V203, P1208, DOI 10.1111/nph.12892
   R Core Team, 2022, R: A Language and Environment for Statistical Computing (4.2.3)
   REHFELDT GE, 1992, CAN J FOREST RES, V22, P5, DOI 10.1139/x92-002
   REHFELDT GE, 1995, FOREST ECOL MANAG, V78, P21, DOI 10.1016/0378-1127(95)03602-4
   REHFELDT GE, 1982, SILVAE GENET, V31, P13
   Rehfeldt GE, 2010, MITIG ADAPT STRAT GL, V15, P283, DOI 10.1007/s11027-010-9217-2
   Sang ZHH, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100380
   Schmidt W. C., 1990, Agricultural Handbook, V654, P227
   St Clair JB, 2020, J FOREST, V118, P1, DOI 10.1093/jofore/fvz064
   St Clair JB, 2005, ANN BOT-LONDON, V96, P1199, DOI 10.1093/aob/mci278
   Valladares F, 2014, ECOL LETT, V17, P1351, DOI 10.1111/ele.12348
   Wadgymar SM, 2022, ANNU REV ECOL EVOL S, V53, P87, DOI 10.1146/annurev-ecolsys-012722-035231
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Whitlock MC, 2009, GENETICS, V183, P1055, DOI 10.1534/genetics.108.099812
NR 44
TC 0
Z9 0
U1 3
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD SEP
PY 2024
VL 17
IS 9
AR e70001
DI 10.1111/eva.70001
PG 11
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA F9B3J
UT WOS:001312678900001
PM 39286764
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Ragozzino, M
   Meyer, R
   Duan, J
   Slager, B
   Salom, S
AF Ragozzino, Max
   Meyer, Ryan
   Duan, Jian
   Slager, Ben
   Salom, Scott
TI Differences in Early Season Emergence and Reproductive Activity Between
   <i>Spathius agrili</i> (Hymenoptera: Braconidae) and <i>Spathius
   galinae</i>, Larval Parasitoids of the Invasive Emerald Ash Borer
   (Coleoptera: Buprestidae)
SO ENVIRONMENTAL ENTOMOLOGY
LA English
DT Article
DE emerald ash borer; Spathius agrili; Spathius galinae; climate
ID TETRASTICHUS-PLANIPENNISI HYMENOPTERA; BIOLOGICAL-CONTROL; ENCYRTIDAE;
   ESTABLISHMENT; EULOPHIDAE; ABUNDANCE; CHINA
AB Both Spathius agrili Yang and Spathius galinae Belokobylskij and Strazanac are host-specific parasitic wasps introduced for biological control of emerald ash borer in North America. Spathius agrili is native to northeastern China and S. galinae comes from a more northern, colder climate in the Russian Far East. Their origin may lead to differing abilities to adapt to climate and their host in North America. We conducted both field and laboratory experiments to determine the timing of early season emergence and synchronization of each parasitoid species to their host in the United States, and if manipulating prerelease conditions could affect emergence time. A cold acclimatization treatment prior to parasitoid emergence was assessed and compared with untreated control group reared with standard rearing protocols. Stands of naturally emerald ash borer-infested ash were sampled at two locations in Virginia throughout the experiment to determine when the parasitoid-susceptible life stage (third to fourth instar) occurred. Untreated S. galinae emerged approximately 2 wk earlier than any other cohort, whereas cold acclimatized S. galinae emerged later than any other cohort. Emergence time of S. agrili was unaffected by cold acclimatization. Cold acclimatization treatment did not affect the parasitism rate of either species, nor did it have multigenerational effects. Emergence time of the subsequent generation of S. agrili was delayed by cold acclimatization treatment, whereas S. galinae experienced no multigenerational effects. At Virginia field sites, susceptible EAB larvae were present during the emergence time of all four groups of parasitoids. Untreated S. galinae had the least overlap with any susceptible EAB larvae.
C1 [Ragozzino, Max; Meyer, Ryan; Salom, Scott] Virginia Tech, Dept Entomol, Price Hall, Blacksburg, VA 24061 USA.
   [Duan, Jian] USDA ARS, BIIRU 501 S Chapel St, Newark, DE 19702 USA.
   [Slager, Ben] USDA, APHIS PPQ 5936 Ford Court Suite 200, Brighton, MI 48116 USA.
C3 Virginia Polytechnic Institute & State University; United States
   Department of Agriculture (USDA); United States Department of
   Agriculture (USDA)
RP Ragozzino, M (corresponding author), Virginia Tech, Dept Entomol, Price Hall, Blacksburg, VA 24061 USA.
EM maxri@vt.edu
RI Ragozzino, Max/GRF-0969-2022
OI Ragozzino, Max/0000-0001-8774-0316
FU U.S. Forest Service Cooperative Forest Health Grant
   [15-DG-11083150-042]; USDA ARS Grant [58-8010-5-016]
FX We would like to thank Brandi Benedict, Fitz Cherry, and Rachel Campbell
   for the hours of bolt dissections, emergence counting, and colony
   maintenance. Thank you to Kristi Larson, the BIIRU lab, and the APHIS
   Brighton Facility for rearing the insects for these experiments.
   Additional thanks to Erin Langton-Ragozzino, Miranda Pacheco, and Liam
   Sullivan for graciously helping review an early draft of this
   manuscript. This was funded through a U.S. Forest Service Cooperative
   Forest Health Grant 15-DG-11083150-042 and USDA ARS Grant 58-8010-5-016.
CR [Anonymous], 2015, Federal Register, V80, P7827
   [Anonymous], 2010, J INSECT SCI
   Bauer L., 2007, P EMERALD ASH BORER, P63
   Bauer LS, 2008, NEWSLETTER MICHIGAN, V53, P38
   Belokobylskij SA, 2012, ANN ENTOMOL SOC AM, V105, P165, DOI 10.1603/AN11140
   Bray AM, 2011, BIOL INVASIONS, V13, P2869, DOI 10.1007/s10530-011-9970-5
   Canadian Food Inspection Agency, 2019, AR REG EM ASH BOR AR REG EM ASH BOR
   Cappaert David, 2005, American Entomologist, V51, P152
   Davidson W, 2016, BIOL CONTROL, V101, P78, DOI 10.1016/j.biocontrol.2016.06.010
   Duan J. J, 2014, J ECON ENTOMOL, V107, P1
   Duan JJ, 2019, J ECON ENTOMOL, V112, P2121, DOI 10.1093/jee/toz159
   Duan JJ, 2018, FORESTS, V9, DOI 10.3390/f9030142
   Duan JJ, 2015, J APPL ECOL, V52, P1246, DOI 10.1111/1365-2664.12485
   Duan JJ, 2012, BIOCONTROL, V57, P199, DOI 10.1007/s10526-011-9408-0
   Duan JJ, 2011, FLA ENTOMOL, V94, P933, DOI 10.1653/024.094.0430
   Emerald Ash Borer Information, 2019, EM ASH BOR INF NETW
   Gould JR, 2011, J ECON ENTOMOL, V104, P379, DOI 10.1603/EC10257
   Haack RA., 2002, Newsl Mich Entomol Soc, V47, P1
   Hooie NA, 2015, BIOCONTROL SCI TECHN, V25, P345, DOI 10.1080/09583157.2014.971712
   Jennings DE, 2016, BIOL CONTROL, V101, P138, DOI 10.1016/j.biocontrol.2016.07.006
   KAPLAN EL, 1958, J AM STAT ASSOC, V53, P457, DOI 10.2307/2281868
   Larson KM, 2016, BIOL CONTROL, V103, P39, DOI 10.1016/j.biocontrol.2016.08.001
   Liu HP, 2007, BIOL CONTROL, V42, P61, DOI 10.1016/j.biocontrol.2007.03.011
   MapBioControl, 2019, AG REL TRACK DAT MAN
   Mercader RJ, 2015, FOREST ECOL MANAG, V350, P70, DOI 10.1016/j.foreco.2015.04.020
   SAS Institute Inc, 2019, JMP PRO 14 0 0
   Siegert NW, 2014, DIVERS DISTRIB, V20, P847, DOI 10.1111/ddi.12212
   United States Department of Agriculture, 2019, EMERALD ASH BORER BI
   Watt TJ, 2016, BIOL CONTROL, V96, P1, DOI 10.1016/j.biocontrol.2016.01.011
   Watt TJ, 2014, J ECON ENTOMOL, V107, P1320, DOI 10.1603/EC14081
   Yang ZQ, 2006, P ENTOMOL SOC WASH, V108, P550
   Yang ZQ, 2005, ANN ENTOMOL SOC AM, V98, P636, DOI 10.1603/0013-8746(2005)098[0636:FRPFCO]2.0.CO;2
   Zhang YZ, 2005, PHYTOPARASITICA, V33, P253, DOI 10.1007/BF02979863
NR 33
TC 9
Z9 13
U1 1
U2 13
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0046-225X
EI 1938-2936
J9 ENVIRON ENTOMOL
JI Environ. Entomol.
PD APR
PY 2020
VL 49
IS 2
BP 334
EP 341
DI 10.1093/ee/nvz168
PG 8
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA LS6LP
UT WOS:000536493400008
PM 31913461
DA 2025-01-10
ER

PT J
AU Nürnberger, F
   Härtel, S
   Steffan-Dewenter, I
AF Nuernberger, Fabian
   Haertel, Stephan
   Steffan-Dewenter, Ingolf
TI Seasonal timing in honey bee colonies: phenology shifts affect honey
   stores and varroa infestation levels
SO OECOLOGIA
LA English
DT Article
DE Climate change; Phenological mismatch; Tri-trophic interactions; Apis
   mellifera; Varroa destructor
ID GLOBAL CLIMATE-CHANGE; APIS-MELLIFERA; CONSEQUENCES; POLLINATORS;
   POPULATIONS; ENVIRONMENT; JACOBSONI; RESPONSES; GENOTYPE; VITALITY
AB Increasingly frequent warm periods during winter, which are associated with climate change, may cause mismatches between the colony phenology of the western honey bee, Apis mellifera L., and their floral resources. Warmer winter periods can also affect colony brood rearing activity and consequently the reproduction of the invasive brood parasite Varroa destructor Anderson and Trueman. Until now little is known about the effects of climate change on biotic interactions in such a multitrophic system comprising flowering plants, a pollinator, and its parasite. We performed a reciprocal translocation experiment with honey bee colonies to simulate climate change-induced phenology shifts. Honey bee brood phenology was highly sensitive to environmental conditions in late winter. Colonies in which phenology was experimentally delayed had smaller worker populations in early spring and reduced amounts of stored honey during the following months. During summer, the varroa load in colonies with non-shifted phenology was three times higher than in colonies with delayed phenology. High varroa loads during summer were negatively correlated with worker population growth. Despite a remarkable resilience of colony development to phenology shifts, our results show that mismatches between the phenology of honey bee colonies and flowering plants can affect the build-up of resource stores. Further, an advanced onset of brood rearing activity after hibernation can reinforce the negative impact of the brood parasite V. destructor. We conclude that trade-offs between synchronisation with earlier flower phenology and prolonged brood phases with build-up of varroa populations might constrain the honey bees' capability to adapt to climate warming.
C1 [Nuernberger, Fabian; Haertel, Stephan; Steffan-Dewenter, Ingolf] Univ Wurzburg, Bioctr, Dept Anim Ecol & Trop Biol, Wurzburg, Germany.
C3 University of Wurzburg
RP Nürnberger, F (corresponding author), Univ Wurzburg, Bioctr, Dept Anim Ecol & Trop Biol, Wurzburg, Germany.
EM fabian.nuernberger@uni-wuerzburg.de; stephan.haertel@uni-wuerzburg.de;
   ingolf.steffan@uni-wuerzburg.de
RI Steffan-Dewenter, Ingolf/AFJ-8134-2022
OI Steffan-Dewenter, Ingolf/0000-0003-1359-3944
FU German Research Foundation (DFG); Collaborative Research Center
   1047-insect timing: mechanisms, plasticity and interactions, Project C2
FX Funding was provided by the German Research Foundation (DFG) to the
   Collaborative Research Center 1047-insect timing: mechanisms, plasticity
   and interactions, Project C2, to ISD and SH.
CR Alexander JM, 2016, TRENDS ECOL EVOL, V31, P831, DOI 10.1016/j.tree.2016.08.003
   Amdam GV, 2004, J ECON ENTOMOL, V97, P741, DOI 10.1603/0022-0493(2004)097[0741:APIWHB]2.0.CO;2
   [Anonymous], 1931, THESIS
   [Anonymous], SCHWEIZERISCHE BIENE
   [Anonymous], 1995, WISDOM HIVE SOCIAL P, DOI DOI 10.4159/9780674043404
   [Anonymous], J APPL ECOL
   [Anonymous], J INVERTEBR PATHOL S
   AVITABILE A, 1978, J APICULT RES, V17, P69, DOI 10.1080/00218839.1978.11099905
   Bartomeus I, 2011, P NATL ACAD SCI USA, V108, P20645, DOI 10.1073/pnas.1115559108
   Benjamini Y, 2001, ANN STAT, V29, P1165
   BERRY DA, 1987, BIOMETRICS, V43, P439, DOI 10.2307/2531826
   Both C, 2009, J ANIM ECOL, V78, P73, DOI 10.1111/j.1365-2656.2008.01458.x
   CALATAYUD F, 1993, EXP APPL ACAROL, V17, P889, DOI 10.1007/BF02328065
   Costa C, 2012, J APIC SCI, V56, P147, DOI 10.2478/v10289-012-0015-9
   Crane E, 2005, BEE WORLD, V86, P54, DOI 10.1080/0005772X.2005.11417311
   Danner N, 2016, ECOL APPL, V26, P1920, DOI 10.1890/15-1840.1
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Durant JM, 2007, CLIM RES, V33, P271, DOI 10.3354/cr033271
   Forrest JRK, 2011, ECOL MONOGR, V81, P469, DOI 10.1890/10-1885.1
   Genersch E, 2010, APIDOLOGIE, V41, P332, DOI 10.1051/apido/2010014
   Genersch E, 2010, APPL MICROBIOL BIOT, V87, P87, DOI 10.1007/s00253-010-2573-8
   Gordo O, 2005, OECOLOGIA, V146, P484, DOI 10.1007/s00442-005-0240-z
   Gordo O, 2006, ECOL ENTOMOL, V31, P261, DOI 10.1111/j.1365-2311.2006.00787.x
   Hegland SJ, 2009, ECOL LETT, V12, P184, DOI 10.1111/j.1461-0248.2008.01269.x
   IMDORF A, 1987, APIDOLOGIE, V18, P137, DOI 10.1051/apido:19870204
   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
   Keller I, 2005, BEE WORLD, V86, P27, DOI 10.1080/0005772X.2005.11099650
   KRONENBERG F, 1982, J COMP PHYSIOL, V148, P65, DOI 10.1007/BF00688889
   Kudo G, 2004, ECOL RES, V19, P255, DOI 10.1111/j.1440-1703.2003.00630.x
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Le Conte Y, 2008, REV SCI TECH OIE, V27, P499
   Le Conte Y, 2010, APIDOLOGIE, V41, P353, DOI 10.1051/apido/2010017
   Meixner MD, 2015, CURR OPIN INSECT SCI, V10, P177, DOI 10.1016/j.cois.2015.05.010
   Meixner MD, 2010, J APICULT RES, V49, P85, DOI 10.3896/IBRA.1.49.1.12
   Miller-Rushing AJ, 2010, PHILOS T R SOC B, V365, P3177, DOI 10.1098/rstb.2010.0148
   Moritz RFA, 2005, ECOSCIENCE, V12, P289, DOI 10.2980/i1195-6860-12-3-289.1
   Nürnberger F, 2018, PEERJ, V6, DOI 10.7717/peerj.4801
   Nürnberger F, 2017, PEERJ, V5, DOI 10.7717/peerj.3441
   Oldroyd BP, 1999, TRENDS ECOL EVOL, V14, P312, DOI 10.1016/S0169-5347(99)01613-4
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Potts SG, 2016, NATURE, V540, P220, DOI 10.1038/nature20588
   Potts SG, 2010, TRENDS ECOL EVOL, V25, P345, DOI 10.1016/j.tree.2010.01.007
   Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ruttner F., 1988, BIOGEOGRAPHY TAXONOM, DOI DOI 10.1007/978-3-642-72649-1
   Schenk M, 2018, J ANIM ECOL, V87, P139, DOI 10.1111/1365-2656.12694
   Scheper Jeroen, 2015, Alterra Scientific Contributions, V47, P101
   SEELEY TD, 1985, ECOL ENTOMOL, V10, P81, DOI 10.1111/j.1365-2311.1985.tb00537.x
   Singer MC, 2010, PHILOS T R SOC B, V365, P3161, DOI 10.1098/rstb.2010.0144
   Smith ML, 2016, INSECT SOC, V63, P553, DOI 10.1007/s00040-016-0499-6
   Straka Jason R., 2014, Journal of Pollination Ecology, V13, P129
   Switanek M, 2017, SCI TOTAL ENVIRON, V579, P1581, DOI 10.1016/j.scitotenv.2016.11.178
   Tylianakis JM, 2008, ECOL LETT, V11, P1351, DOI 10.1111/j.1461-0248.2008.01250.x
   van Dooremalen C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036285
   vanEngelsdorp D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006481
   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
   Williams CM, 2015, BIOL REV, V90, P214, DOI 10.1111/brv.12105
NR 57
TC 29
Z9 30
U1 2
U2 68
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0029-8549
EI 1432-1939
J9 OECOLOGIA
JI Oecologia
PD APR
PY 2019
VL 189
IS 4
BP 1121
EP 1131
DI 10.1007/s00442-019-04377-1
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HV8FM
UT WOS:000466216700024
PM 30879141
DA 2025-01-10
ER

PT J
AU Mariac, C
   Ousseini, IS
   Alio, AK
   Jugdé, H
   Pham, JL
   Bezançon, G
   Ronfort, J
   Descroix, L
   Vigouroux, Y
AF Mariac, Cedric
   Ousseini, Issaka S.
   Alio, Abdel-Kader
   Jugde, Helene
   Pham, Jean-Louis
   Bezancon, Gilles
   Ronfort, Joelle
   Descroix, Luc
   Vigouroux, Yves
TI Spatial and Temporal Variation in Selection of Genes Associated with
   Pearl Millet Varietal Quantitative Traits <i>In situ</i>
SO FRONTIERS IN GENETICS
LA English
DT Article
DE selection; temporal and spatial variability; functional diversity; pearl
   millet; adaptation to climate variation
ID L. R. BR.; HETEROGENEOUS ENVIRONMENTS; WILD; POPULATION; DIVERSITY;
   PATTERN; POLYMORPHISM; FREQUENCY; EVOLUTION; LOCI
AB Ongoing global climate changes imply new challenges for agriculture. Whether plants and crops can adapt to such rapid changes is still a widely debated question. We previously showed adaptation in the form of earlier flowering in pearl millet at the scale of a whole country over three decades. However, this analysis did not deal with variability of year to year selection. To understand and possibly manage plant and crop adaptation, we need more knowledge of how selection acts in situ. Is selection gradual, abrupt, and does it vary in space and over time? In the present study, we tracked the evolution of allele frequency in two genes associated with pearl millet phenotypic variation in situ. We sampled 17 populations of cultivated pearl millet over a period of 2 years. We tracked changes in allele frequencies in these populations by genotyping more than seven thousand individuals. We demonstrate that several allele frequencies changes are compatible with selection, by correcting allele frequency changes associated with genetic drift. We found marked variation in allele frequencies from year to year, suggesting a variable selection effect in space and over time. We estimated the strength of selection associated with variations in allele frequency. Our results suggest that the polymorphism maintained at the genes we studied is partially explained by the spatial and temporal variability of selection. In response to environmental changes, traditional pearl millet varieties could rapidly adapt thanks to this available functional variability.
C1 [Mariac, Cedric; Ousseini, Issaka S.; Pham, Jean-Louis; Bezancon, Gilles; Vigouroux, Yves] Inst Rech Dev, UMR DIADE, Montpellier, France.
   [Mariac, Cedric; Ousseini, Issaka S.; Alio, Abdel-Kader; Jugde, Helene; Bezancon, Gilles; Descroix, Luc; Vigouroux, Yves] Inst Rech Dev, Niamey, Niger.
   [Ousseini, Issaka S.; Vigouroux, Yves] Univ Montpellier 2, Pl Eugene Bataillon, Montpellier, France.
   [Ousseini, Issaka S.] Univ Abdou Moumouni Niamey, Niamey, Niger.
   [Ronfort, Joelle] INRA, UMR AGAP, Montpellier, France.
   [Descroix, Luc] IRD, UMR LTHE, Grenoble, France.
C3 Universite de Montpellier; Institut de Recherche pour le Developpement
   (IRD); Institut de Recherche pour le Developpement (IRD); Universite de
   Montpellier; Abdou Moumouni University; Universite de Montpellier;
   INRAE; Communaute Universite Grenoble Alpes; Institut National
   Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD)
RP Vigouroux, Y (corresponding author), Inst Rech Dev, UMR DIADE, Montpellier, France.; Vigouroux, Y (corresponding author), Inst Rech Dev, Niamey, Niger.; Vigouroux, Y (corresponding author), Univ Montpellier 2, Pl Eugene Bataillon, Montpellier, France.
EM yves.vigouroux@ird.fr
RI vigouroux, Yves/A-9056-2011; MARIAC, Cedric/H-9868-2017
OI Vigouroux, Yves/0000-0002-8361-6040; MARIAC, Cedric/0000-0001-6439-115X
FU Institut de Recherche pour le developpement core grant (Action
   incitative IRD); Agence Nationale de la Recherche [ANR-07-JCJC-0116-01];
   Agropolis Fondation (ARCAD project); ARCAD project; French Embassy in
   Niger; IRD Ph.D. grant (ARTS); Agence Nationale de la Recherche (ANR)
   [ANR-07-JCJC-0116] Funding Source: Agence Nationale de la Recherche
   (ANR)
FX This project was funded by the Institut de Recherche pour le
   developpement core grant (Action incitative IRD). YV was supported by a
   grant of the Agence Nationale de la Recherche (ANR-07-JCJC-0116-01) and
   the Agropolis Fondation (ARCAD project). IO was partly funded by a grant
   from the ARCAD project, by a Ph.D. grant from the French Embassy in
   Niger and an IRD Ph.D. grant (ARTS). The funders had no role in study
   design, data collection, and analysis, decision to publish, or
   preparation of the manuscript.
CR Allinne C, 2008, GENETICA, V133, P167, DOI 10.1007/s10709-007-9197-7
   Amos W, 2007, MOL ECOL NOTES, V7, P10, DOI 10.1111/j.1471-8286.2006.01560.x
   [Anonymous], 1981, BIOMETRY
   [Anonymous], GENETIC DATA ANAL
   BATEMAN AJ, 1947, HEREDITY, V1, P235, DOI 10.1038/hdy.1947.15
   Couturon E, 2003, EUPHYTICA, V133, P329, DOI 10.1023/A:1025773313096
   Csilléry K, 2010, TRENDS ECOL EVOL, V25, P410, DOI 10.1016/j.tree.2010.04.001
   Gratten J, 2012, MOL ECOL, V21, P2977, DOI 10.1111/j.1365-294X.2012.05536.x
   Hedrick PW, 2006, ANNU REV ECOL EVOL S, V37, P67, DOI 10.1146/annurev.ecolsys.37.091305.110132
   HEDRICK PW, 1986, ANNU REV ECOL SYST, V17, P535
   Kimura M., 1983, The neutral theory of molecular evolution, P367
   Linnen CR, 2013, SCIENCE, V339, P1312, DOI 10.1126/science.1233213
   Mariac C, 2006, THEOR APPL GENET, V114, P49, DOI 10.1007/s00122-006-0409-9
   Mariac C, 2011, MOL ECOL, V20, P80, DOI 10.1111/j.1365-294X.2010.04893.x
   Mojica JP, 2012, MOL ECOL, V21, P3718, DOI 10.1111/j.1365-294X.2012.05662.x
   O'Hara RB, 2005, P ROY SOC B-BIOL SCI, V272, P211, DOI 10.1098/rspb.2004.2929
   Pemberton JM, 2010, PHILOS T R SOC B, V365, P2431, DOI 10.1098/rstb.2010.0108
   R DevelopmentCoreTeam, 2008, R: ALanguageandEnvironmentforStatistical Computing
   Saïdou AA, 2014, THEOR APPL GENET, V127, P19, DOI 10.1007/s00122-013-2197-3
   Saïdou AA, 2009, GENETICS, V182, P899, DOI 10.1534/genetics.109.102756
   Sehgal D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122165
   Vigouroux Y, 2005, GENETICS, V169, P1617, DOI 10.1534/genetics.104.032086
   Vigouroux Y, 2002, MOL BIOL EVOL, V19, P1251, DOI 10.1093/oxfordjournals.molbev.a004186
   Vigouroux Y, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019563
   Wang JL, 2005, PHILOS T R SOC B, V360, P1395, DOI 10.1098/rstb.2005.1682
   Wang JL, 2001, GENET RES, V78, P243, DOI 10.1017/S0016672301005286
   Wilson AJ, 2006, PLOS BIOL, V4, P1270, DOI 10.1371/journal.pbio.0040216
   Xin ZG, 2003, BIOTECHNIQUES, V34, P820, DOI 10.2144/03344rr04
NR 28
TC 2
Z9 5
U1 0
U2 2
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 1664-8021
J9 FRONT GENET
JI Front. Genet.
PD JUL 26
PY 2016
VL 7
AR 130
DI 10.3389/fgene.2016.00130
PG 9
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA EW6PQ
UT WOS:000402633100001
PM 27507986
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Adejuwon, JO
AF Adejuwon, JO
TI Assessing the suitability of the epic crop model for use in the study of
   impacts of climate variability and climate change in West Africa
SO SINGAPORE JOURNAL OF TROPICAL GEOGRAPHY
LA English
DT Article
DE crop model; climate change; climate variability; impacts; adaptations;
   West Africa
AB The EPIC (Erosion Productivity Impact Calculator) crop model, developed by scientists of the United States Department of Agriculture (USDA), has been successfully applied to the study of erosion, water pollution, crop growth and production in the US but is yet to be introduced for serious research purposes in other countries or regions. This paper reports on the applicability of the EPIC 8120 crop model for the assessment of the potential impacts of climate variability and climate change on crop productivity in sub-Saharan West Africa, using Nigeria as the case study. Among the crops whose productivity has been successfully simulated with this model are five of West Africa's staple food crops: maize, millet, sorghum (guinea corn), rice and cassava. Thus, using the model, the sensitivities of maize, sorghum and millet to seasonal rainfall were demonstrated with coefficients of correlation significant at over 98 per cent confidence limits. The validation tests were based on a comparison of the observed and the model-generated yields of rice and maize. The main problems of validation relate to the multiplicity of crop varieties with contrasting performances under similar field conditions. There are also the difficulties in representing micro-environments in the model. Thus, some gaps appear between the observed and the simulated yields, arising from data or model deficiencies, or both. Based on the results of the sensitivity and validation tests, the EPIC crop model could be satisfactorily employed in assessing the impacts of and adaptations to climate variability and climate change. Its use for the estimation of production and the assessment of vulnerabilities need to be pursued with further field surveys and field experimentation.
C1 Obafemi Awolowo Univ, Dept Geog, Ife, Nigeria.
C3 Obafemi Awolowo University
RP Obafemi Awolowo Univ, Dept Geog, Ife, Nigeria.
CR [Anonymous], 1996, 2 ASSESSMENT REPORT
   [Anonymous], J NIGER METEOROL SOC
   BUTLER IW, 1989, GAPS GEN PURPOSE FOR
   DAVIS JA, 1965, Q J METEOROLOGICAL S, V91, P17
   Easterling WE, 1996, CLIMATE RES, V6, P263, DOI 10.3354/cr006263
   Fischer G., 1996, CLIMATE CHANGE WORLD, V137, P115, DOI DOI 10.1007/978-3-642-61086-8_5
   Hartkamp A.D., 1999, NATURAL RESOURCES GR, P1
   *IBSNAT, 1989, DEC SUPP SYST AGR TE
   *IITA, 1986, IITA MAIZ RES PROGR
   *IITA, 1986, IITA RIC RES PROGR A
   JONES JW, 1989, SOYGRO V 5 42 SOYBEA
   Keay R. W. J., 1959, An outline of Nigerian vegetation.
   MURDOCK GP, 1960, GEOGR REV, V50, P523, DOI 10.2307/212308
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   RITCHIE JT, 1989, USERS GUIDE CERES MA, V5
   *US COUNTR STUD PR, 1994, GUID VULN AD ASS VER
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   WILLIAMS JR, 1989, T ASAE, V32, P497
NR 18
TC 19
Z9 26
U1 2
U2 30
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 MAR
PY 2005
VL 26
IS 1
BP 44
EP 60
DI 10.1111/j.0129-7619.2005.00203.x
PG 17
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 917HA
UT WOS:000228450300007
DA 2025-01-10
ER

PT J
AU Asare, LA
   Forkuor, JB
AF Asare, Loretta Adowaa
   Forkuor, John Boulard
TI The social consequences of climate change: a qualitative analysis of
   early girl child marriage as an informal adaptation strategy among rural
   communities in Northern Ghana
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE Climate change; girl marriages; climate adaptation; social protection
ID AGRICULTURE; POVERTY; AFRICA; IMPACT
AB Farming communities confronted with climate change adopt formal and informal adaptation strategies to mitigate the effects of climate change. While the environmental and social effects of climate change are well documented, there is still a dearth of literature on girl-child marriage (formal marriage or informal union between a child under the age of 18 and an adult or another child) as a response to the effects of climate change. In this research, we ask if girl-child marriage is promoted as a social protection mechanism first, rather than as simply a response to climate-induced poverty. We use qualitative semi-structured interviews and focus group discussions to explore this question in a rural farming community in Northern Ghana. Our findings reveal that climate change shocks result in poverty and compel farmers to marry off their young daughters. The unmarried girl-child is perceived as an 'extra mouth to feed', a liability whose marriage becomes a strategy for protecting the family, the family's reputation, and the girl child. The emphasis in girl-child marriage is not on the girl-child as an individual but on the family as a group. Hence, what is good for the family is assumed to be in the best interest of the girl-child. We place our analysis at the intersection of climate change, social protection, and the incidence of girl-child marriages. We argue that understanding this link is crucial and can contribute significantly to our knowledge of girl-child marriage as well as our ability to address this in Sub-Saharan Africa.
C1 [Asare, Loretta Adowaa] Bonn Rhein Seig Univ Appl Sci, St Augustin, Germany.
   [Forkuor, John Boulard] Kwame Nkrumah Univ Sci & Technol, Dept Sociol & Social Work, Kumasi, Ghana.
C3 Hochschule Bonn Rhein Sieg; Kwame Nkrumah University Science &
   Technology
RP Forkuor, JB (corresponding author), Kwame Nkrumah Univ Sci & Technol, Dept Sociol & Social Work, Kumasi, Ghana.
EM kforkuor@yahoo.com
RI Forkuor, John/AAL-1609-2020
OI Forkuor, John Boulard/0000-0002-8121-1840
CR Abass R., 2018, West African Journal of Applied Ecology, V26, P56
   Alston M, 2014, WOMEN STUD INT FORUM, V47, P137, DOI 10.1016/j.wsif.2014.08.005
   [Anonymous], 2012, Ghana Multiple Indicator Cluster Survey (MICS)
   [Anonymous], 2023, Child marriage
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Arnett R. C., 2017, Cultural relativism and cultural universalism. In the International encyclopedia of intercultural communication
   Arokiasamy P. M., 2017, Research Journal of English Language and Literature, V5, P565
   Asare L. A., 2023, Crisis in the Anthropocene: Rethinking connection and agency for development
   Bajracharya A, 2012, STUD FAMILY PLANN, V43, P79, DOI 10.1111/j.1728-4465.2012.00307.x
   Ashton PJ, 2002, AMBIO, V31, P236, DOI 10.1639/0044-7447(2002)031[0236:ACOASW]2.0.CO;2
   Asomah Joseph Yaw, 2015, Afr. hum. rights law j., V15, P129
   Assan E, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5080086
   Atitsogbey P., 2018, Ghana Journal of Agricultural Science, V52, P145
   Ayton-Shenker D., 1995, United Nations Department of Public Information DPI/1627/HR
   Bartels SA, 2018, BMJ GLOB HEALTH, V3, DOI 10.1136/bmjgh-2017-000509
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Belloumi M., 2014, AGRODEP Working Paper 0003
   Boateng Alice, 2021, The Tensions between Culture and Human Rights: Emancipatory Social Work and Afrocentricity in a Global World, P105
   Chitereka C., 2009, Advances in Social Work, V10, P144, DOI [https://doi.org/10.18060/223, DOI 10.18060/223]
   Cobbinah PB, 2016, CLIM DEV, V8, P169, DOI 10.1080/17565529.2015.1034228
   de Wit M, 2006, SCIENCE, V311, P1917, DOI 10.1126/science.1119929
   Efevbera Y, 2017, SOC SCI MED, V185, P91, DOI 10.1016/j.socscimed.2017.05.027
   Ezra M., 2001, International Journal of Population Geography, V7, P259, DOI 10.1002/ijpg.226
   Fall CHD, 2015, LANCET GLOB HEALTH, V3, pE366, DOI 10.1016/S2214-109X(15)00038-8
   Ferdousi N., 2014, International Journal of Sociology and Anthropology, V6, P1, DOI DOI 10.5897/IJSA11.024
   Few R., 2004, Tyndall Centre Working Paper, V63
   Fischer RA, 2002, FIELD CROP RES, V79, P107, DOI 10.1016/S0378-4290(02)00157-0
   Forkuor JB, 2019, QUAL SOC WORK, V18, P852, DOI 10.1177/1473325018766712
   Ghana Statistical Service, 2014, 2010 Population and Housing Census: Central Gonja District Analytical Report
   Ghosh B., 2011, Sociological Bulletin, V60, P307, DOI [10.1177/0038022920110206, DOI 10.1177/0038022920110206]
   Ghosh B., 2023, Child protection and rights in India, P318
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hurst W, 2021, SMART CITIES-BASEL, V4, P1454, DOI 10.3390/smartcities4040077
   Ijeoma O. C., 2013, Journal of Educational and Social Research, V3, P73, DOI [https://doi.org/10.5901/jesr.2013.v3n5p73, DOI 10.5901/JESR.2013.V3N5P73]
   Kansanga M, 2019, INT J SUST DEV WORLD, V26, P11, DOI 10.1080/13504509.2018.1491429
   Karim N., 2016, CULTURAL CONTEXT CHI
   Knickel K, 2017, INT J AGR SUSTAIN, V15, P575, DOI 10.1080/14735903.2017.1373464
   Kotir Julius H., 2011, Environment Development and Sustainability, V13, P587, DOI 10.1007/s10668-010-9278-0
   Kumasi TC, 2019, ENVIRON DEV SUSTAIN, V21, P745, DOI 10.1007/s10668-017-0062-2
   Lal B.S., 2015, International Journal of Science and Research, V4, P2993
   Loaiza E., 2012, Marrying Too Young: End Child Marriage
   Malhotra A, 2021, J ADOLESCENT HEALTH, V68, P847, DOI 10.1016/j.jadohealth.2020.11.017
   Mashizha T. M., 2017, Zimbabwe. Journal of Asian and African Social Science and Humanities, V3, P56
   Matthew OA, 2019, COGENT ARTS HUMANITE, V6, DOI 10.1080/23311983.2019.1682107
   McCarl BA, 2010, CLIMATIC CHANGE, V100, P119, DOI 10.1007/s10584-010-9833-6
   McCarthy J., 2020, GLOBAL CITIZEN
   McLeod Christie., 2019, COLUMBIA J GENDER LA, V38, P96, DOI DOI 10.7916/CJGL.V38I1.4604
   Mugambiwa SS, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.388
   Navarro E, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20154231
   Naveed S., 2020, South Asian Studies, V30, P161
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   Nukunya G.K., 2003, Tradition and Change in Ghana : an Introduction to Sociology, V2nd
   Parsons J, 2015, REV FAITH INT AFF, V13, P12, DOI 10.1080/15570274.2015.1075757
   Plesons M, 2021, REPROD HEALTH, V18, DOI 10.1186/s12978-021-01176-x
   Raj A, 2010, ARCH DIS CHILD, V95, P931, DOI 10.1136/adc.2009.178707
   Sarfo EA, 2022, CHILD CARE PRACT, V28, P228, DOI 10.1080/13575279.2019.1701411
   Savitridina R., 1997, Asia-Pacific Population Journal, V12, P25, DOI DOI 10.18356/734662B8-EN
   Singh V., 2016, Young Lives working paper, V149
   Tadesse G., 2018, ReSAKSS Annual Trends and Outlook Report, P16
   Taylor M, 2018, J PEASANT STUD, V45, P89, DOI 10.1080/03066150.2017.1312355
   Tirivayi N, 2016, GLOB FOOD SECUR-AGR, V10, P52, DOI 10.1016/j.gfs.2016.08.004
   Urama NE, 2019, CLIM DEV, V11, P27, DOI 10.1080/17565529.2017.1372267
   Zakaria A, 2020, TECHNOL SOC, V63, DOI 10.1016/j.techsoc.2020.101338
NR 63
TC 0
Z9 0
U1 1
U2 2
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2319703
DI 10.1080/23311886.2024.2319703
PG 17
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA JP3G2
UT WOS:001174324100001
OA gold
DA 2025-01-10
ER

PT J
AU Yang, ZT
   Jiang, YW
AF Yang, Zhaiting
   Jiang, Youwei
TI Quantifying resilient urban energy systems: Statistical analysis of
   climate adaptation, renewable integration, and socioeconomic dynamics
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Renewable energy resources; Demand response model; Deep learning; Hybrid
   electric-heat systems; Scheduling
ID DEMAND RESPONSE; ELECTRICITY
AB Multi-energy systems (MES) become increasingly important to accommodate renewable energy (RE) since fossil fuels diminish and RE is more prevalent. Power systems are challenged by high penetrations of RE, including frequent wind curtailments and uncertain RE resources threatening their security. A 2-step scheme for MES is proposed in the study to generate reliable operational decisions by incorporating integrated heat-electricity demand response (DR). In the initial phase, dynamic programming was applied to determine the optimal solution for previous linkage sessions. Subsequently, machine learning techniques were trained using historical data and the resulting optimal decisions to make optimal real-time decisions without prior knowledge of future power costs or vehicle usage. An accurately trained deep neural network is capable of significantly reducing charging costs, usually approaching the retrospectively calculated optimum charging price. In the suggested scheme, the operating prices are minimized under a base scenario ensuring that no constraint is violated regardless of the scenario. RE curtailment can be reduced significantly with power-to-gas (P2G) devices that convert excess energy from wind and photovoltaic sources into natural gas. In addition, this paper proposes integrated heat-electric DR as a means of reducing operating prices and enhancing security against uncertainties by employing couplings between different systems. The outcomes show that robust optimization enhances the security of systems, and the unified electric-heat DR can boost the use of RE while improving the economic benefit. It should be noted that this paper investigated under the impact of the climate changes and also socioeconomic dynamics that can change consuming energy in urban systems.
C1 [Yang, Zhaiting] Chongqing Univ Technol, Sch Accounting, Chongqing 400054, Peoples R China.
   [Jiang, Youwei] Chongqing Univ Technol, Sch Foreign Languages, Chongqing 400054, Peoples R China.
C3 Chongqing University of Technology; Chongqing University of Technology
RP Jiang, YW (corresponding author), Chongqing Univ Technol, Sch Foreign Languages, Chongqing 400054, Peoples R China.
EM youweij097@sina.com
FU China Ministry of Education Humanities and Social Sciences Research
   project in western and Frontier areas [22XJC790012]; Chongqing Education
   Commission Humanities and Social Science Research Project [22SKGH316];
   Cultivation Program of Chongqing University of Technology for National
   Natural Science Foundation and National Social Science Foundation;
   Scientific Research Foundation of Chongqing University of Technology
FX This work is supported by China Ministry of Education Humanities and
   Social Sciences Research project in western and Frontier areas (Grant
   No. 22XJC790012) , Chongqing Education Commission Humanities and Social
   Science Research Project (Grant No. 22SKGH316) , Cultivation Program of
   Chongqing University of Technology for National Natural Science
   Foundation and National Social Science Foundation, Scientific Research
   Foundation of Chongqing University of Technology.
CR Bao ZJ, 2020, INT J ELEC POWER, V118, DOI 10.1016/j.ijepes.2019.105763
   Chen J, 2018, IEEE ACCESS, V6, P17557, DOI 10.1109/ACCESS.2018.2818756
   Dutra MDD, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115851
   Esapour K, 2023, IET GENER TRANSM DIS, V17, P655, DOI 10.1049/gtd2.12500
   Fangjie G., 2023, Sustainable Cities and Society
   Good N, 2019, ENERGY, V184, P165, DOI 10.1016/j.energy.2018.02.089
   Hashmi SA, 2021, INT J ENERG RES, V45, P1007, DOI 10.1002/er.6141
   Kylili A, 2015, SUSTAIN CITIES SOC, V15, P86, DOI 10.1016/j.scs.2014.12.003
   Li CZ, 2021, GLOB ENERG INTER-PRC, V4, P169, DOI 10.1016/j.gloei.2021.05.007
   Lim K, 2021, UTIL POLICY, V70, DOI 10.1016/j.jup.2021.101223
   Lu J, 2021, RENEW ENERG, V178, P466, DOI 10.1016/j.renene.2021.05.164
   Lu Q, 2022, INT J ELEC POWER, V141, DOI 10.1016/j.ijepes.2022.108126
   Mohammadi Mojtaba, 2022, IEEE Transactions on Industrial Informatics, V18, P1896, DOI 10.1109/TII.2021.3081683
   Nikzad M, 2021, APPL ENERG, V282, DOI 10.1016/j.apenergy.2020.116163
   Patil P, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104265
   Safipour H, 2020, IET GENER TRANSM DIS, V14, P2740, DOI 10.1049/iet-gtd.2019.1752
   Salehi A, 2019, INT J HYDROGEN ENERG, V44, P31488, DOI 10.1016/j.ijhydene.2019.10.038
   Senemmar S, 2020, IEEE T SUSTAIN ENERG, V11, P1236, DOI 10.1109/TSTE.2019.2921110
   Sobhani SO, 2020, ENERGY, V206, DOI 10.1016/j.energy.2020.118017
   Yang Q, 2022, J MOD POWER SYST CLE, V10, P1127, DOI 10.35833/MPCE.2021.000155
   Yao DB, 2020, ACS NANO, V14, P4007, DOI 10.1021/acsnano.9b08166
   Yao S, 2022, APPL ENERG, V322, DOI 10.1016/j.apenergy.2022.119492
   Yu HX, 2019, IEEE INT SYMP POWER, P336, DOI [10.1109/pedg.2019.8807672, 10.1109/PEDG.2019.8807672]
   Zeng B, 2019, IET GENER TRANSM DIS, V13, P2697, DOI 10.1049/iet-gtd.2018.6877
   Zhang YC, 2021, RENEW ENERG, V163, P2037, DOI 10.1016/j.renene.2020.10.131
   Zhu MS, 2022, ENERGY, V244, DOI 10.1016/j.energy.2022.123230
NR 26
TC 2
Z9 2
U1 12
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD FEB
PY 2024
VL 101
AR 105153
DI 10.1016/j.scs.2023.105153
EA JAN 2024
PG 13
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 GX5J2
UT WOS:001155982100001
DA 2025-01-10
ER

PT J
AU Hussain, S
   Mubeen, M
   Nasim, W
   Mumtaz, F
   Abdo, HG
   Mostafazadeh, R
   Fahad, S
AF Hussain, Sajjad
   Mubeen, Muhammad
   Nasim, Wajid
   Mumtaz, Faisal
   Abdo, Hazem Ghassan
   Mostafazadeh, Raoof
   Fahad, Shah
TI Assessment of future prediction of urban growth and climate change in
   district Multan, Pakistan using CA-Markov method
SO URBAN CLIMATE
LA English
DT Article
DE Climate change; Land use; Land cover; Markov chain; Remote sensing and
   GIS
ID LAND-COVER CHANGE; SURFACE-TEMPERATURE; TIME-SERIES; NDVI;
   CLASSIFICATION; IMPACTS; MODEL; URBANIZATION; DEGRADATION; DROUGHT
AB This research utilized remote sensing (RS) technology to analyze and monitor land use land cover (LULC) and climate change. This work mainly involves three components: (i) investigating the historical trends of LULC and land surface temperature (LST) using Landsat data for 1990, 2005, and 2020. (ii)Evaluate the impact of climate change on urban temperature for increased heat stress in the Multan region and (iii) Future predictions of LULC and LST for 2035 and 2050 by the CA-Markov Chain model. Supervised classification techniques were employed to classify the images into various LULC classes. Historical trends of LULC revealed that over the study period, the built-up area in Multan has increased by almost 30,435 Ha (8.34%), which would continue to reach40003 ha (10.96%) from 1990 to 2020 at the cost of vegetation loss, which is countlessly decreasing and will get from 283,145 Ha (-77.57%) in 2035 to264443 Ha (-71.4%) till 2050. Further, the findings about LST revealed that over the region, the average LST values have increased from 1.2 degrees C over the last two decades and will additionally include 1.8 degrees C until 2050. This study underscores the importance of RS technology in understanding past LULC changes and predicting future land transformations and temperature variations. The results contribute valuable insights for policymakers, land managers, and urban planners to make informed decisions for sustainable LULC and climate adaptation strategies in the face of growing urbanization and climate change challenges.
C1 [Hussain, Sajjad] COMSATS Univ Islamabad, Dept Environm Sci, Vehari Campus, Vehari 61100, Punjab, Pakistan.
   [Mubeen, Muhammad] COMSATS Univ Islamabad, Dept Biotechnol, Vehari Campus, Vehari 61100, Punjab, Pakistan.
   [Nasim, Wajid] Islamia Univ Bahawalpur IUB, Univ Coll Agr & Environm Sci, Dept Agron, Bahawalpur, Pakistan.
   [Mumtaz, Faisal] Chinese Acad Sci, Aerosp Informat Res Inst, State key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Abdo, Hazem Ghassan] Tartous Univ, Fac Arts & Humanities, Geog Dept, Tartous, Syria.
   [Mostafazadeh, Raoof] Univ Mohaghegh Ardabili, Fac Agr & Nat Resources, Water Management Res Ctr, Dept Nat Resources & Member, Ardebil, Iran.
   [Fahad, Shah] Abdul Wali Khan Univ Mardan, Dept Agron, Mardan 23200, Pakistan.
C3 COMSATS University Islamabad (CUI); COMSATS University Islamabad (CUI);
   Islamia University of Bahawalpur; Chinese Academy of Sciences; Aerospace
   Information Research Institute, CAS; Tartous University; University of
   Mohaghegh Ardabili
RP Hussain, S (corresponding author), COMSATS Univ Islamabad, Dept Environm Sci, Vehari Campus, Vehari 61100, Punjab, Pakistan.
EM sp23-pes-018@cuivehari.edu.pk; muhammadmubeen@cui.edu.pk;
   wajid.nasim@iub.edu.pk; Faisal@aircas.ac.cn;
   hazemabdo@tartous-univ.edu.sy; raoofmostafazadeh@uma.ac.ir;
   shah.fahad@uoh.edu.pk
RI Abdo, Hazem/Z-3481-2019; Mumtaz, Faisal/ABA-3846-2021; Fahad,
   Shah/J-7265-2019; Hussain, Sajjad/R-1345-2017; Mostafazadeh,
   Raoof/E-5783-2015
OI Fahad, Shah/0000-0002-7525-0296; Mumtaz, Faisal/0000-0003-1322-126X;
   Mostafazadeh, Raoof/0000-0002-0401-0260
CR Afzal S., 2023, CLIMATE CHANGE IMPAC, P299, DOI [10.1007/978-3-031-26692-8_17, DOI 10.1007/978-3-031-26692-8_17]
   Ahmad F., 2012, J Geogr Reg Plan, V5, P236, DOI [DOI 10.5897/JGRP11.121, 10.5897/jgrp11.121]
   Ahmed M., 2022, Building Climate Resilience in Agriculture, P297, DOI 10.1007/978-3-030-79408-8_19
   Akhtar F, 2017, APPL GEOGR, V88, P48, DOI 10.1016/j.apgeog.2017.09.003
   Akram R., 2022, CLIMATE CHANGE ECOSY, P47, DOI [10.1201/9781003286400-3, DOI 10.1201/9781003286400-3]
   Akram R., 2022, BUILDING CLIMATE RES, P255, DOI [10.1007/978-3-030-79408-8_17, DOI 10.1007/978-3-030-79408-8_17]
   Ali A., 2018, ADV REMOTE SENS, V7, P245, DOI [DOI 10.4236/ARS.2018.73017, 10.4236/ars.2018.73017]
   Ali A., 2023, CLIMATE CHANGE IMPAC, P355, DOI [10.1007/978-3-031-26692-8_20, DOI 10.1007/978-3-031-26692-8_20]
   Ali M., 2019, AGRONOMIC CROPS, P637, DOI [10.1007/978-981-32-9783-8_28, DOI 10.1007/978-981-32-9783-8_28]
   Ali S, 2019, ATMOS RES, V222, P114, DOI 10.1016/j.atmosres.2019.02.009
   Amin A., 2022, Building Climate Resilience in Agriculture: Theory, Practice and Future Perspective, P319, DOI [10.1007/978- 3-030-79408-8_20, DOI 10.1007/978-3-030-79408-8_20]
   Anila Naz Anila Naz, 2017, Journal of Basic & Applied Sciences, V13, P26
   Arshad M, 2017, INT J SUST DEV WORLD, V24, P532, DOI 10.1080/13504509.2016.1254689
   Athick ASMA, 2019, DATA BRIEF, V27, DOI 10.1016/j.dib.2019.104773
   Birhanu A, 2019, PHYS CHEM EARTH, V112, P165, DOI 10.1016/j.pce.2019.01.006
   Butt A, 2015, EGYPT J REMOTE SENS, V18, P251, DOI 10.1016/j.ejrs.2015.07.003
   Das S, 2019, SPAT INF RES, V27, P439, DOI 10.1007/s41324-019-00251-7
   Din M. S. U., 2022, Building climate resilience in agriculture, P365, DOI [DOI 10.1007/978-3-030-79408-8_22, 10.1007/978-3-030-79408-8_22]
   Fahad S, 2018, ARCH AGRON SOIL SCI, V64, P1473, DOI 10.1080/03650340.2018.1443213
   Fain SJ, 2018, CLIMATIC CHANGE, V146, P175, DOI 10.1007/s10584-017-1949-5
   Hamad R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103421
   Hammad HM, 2018, LAND DEGRAD DEV, V29, P1366, DOI 10.1002/ldr.2933
   He MY, 2023, SPECTROCHIM ACTA B, V209, DOI 10.1016/j.sab.2023.106781
   Hou H, 2019, SCI TOTAL ENVIRON, V661, P422, DOI 10.1016/j.scitotenv.2019.01.208
   Hu YG, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043572
   Hussain S., 2023, CLIMATE CHANGE IMPAC, P209, DOI [10.1007/978-3-031-26692-812, DOI 10.1007/978-3-031-26692-8_12]
   Hussain S., 2023, GEOLOGY ECOLOGY LAND, V7, P46, DOI [DOI 10.1080/24749508.2021.1923272, 10.1080/24749508.2021.1923272]
   Hussain S., 2020, COTTON PRODUCTION US, P59, DOI [10.1007/978-981-15-1472-2_5, DOI 10.1007/978-981-15-1472-2_5]
   Hussain S., 2018, COMSATS U ISLAMABAD, DOI [10.13140/RG.2.2.32363.69923, DOI 10.13140/RG.2.2.32363.69923]
   Hussain S, 2023, GEOSCI LETT, V10, DOI 10.1186/s40562-023-00287-6
   Hussain S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031768
   Hussain S, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13101609
   Hussain S, 2023, ENVIRON SCI POLLUT R, V30, P99202, DOI 10.1007/s11356-022-21650-8
   Hussain S, 2022, PHYS CHEM EARTH, V126, DOI 10.1016/j.pce.2022.103117
   Hussain Sajjad, 2022, Modern techniques of rice crop production, P547, DOI 10.1007/978-981-16-4955-4_27
   Hussain S, 2022, LAND-BASEL, V11, DOI 10.3390/land11050595
   Hussain S, 2021, OPEN GEOSCI, V13, P1561, DOI 10.1515/geo-2020-0298
   Hussain S, 2023, ENVIRON SCI POLLUT R, V30, P42495, DOI 10.1007/s11356-021-17433-2
   Hussain S, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-7959-1
   Hussain S, 2020, ENVIRON SCI POLLUT R, V27, P39676, DOI 10.1007/s11356-019-06072-3
   Huyen N T., 2016, Discussion Paper Series-Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), P2016, DOI DOI 10.13140/RG.2.2.28700.08326
   Ibharim NA, 2015, OCEAN COAST MANAGE, V114, P64, DOI 10.1016/j.ocecoaman.2015.06.005
   Iqbal MF, 2014, EGYPT J REMOTE SENS, V17, P209, DOI 10.1016/j.ejrs.2014.09.004
   Javed MT., 2022, Int J Food Contam, V9, P1, DOI [10.1186/s40550-022-00097-2, DOI 10.1186/S40550-022-00097-2]
   Kantakumar LN, 2015, EGYPT J REMOTE SENS, V18, P289, DOI 10.1016/j.ejrs.2015.09.003
   Karuppasamy MB, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13101627
   Kazmi D.H., 2023, Climate Change Impacts on Agriculture: Concepts, Issues and Policies for Developing Countries, P65, DOI DOI 10.1007/978-3-031-26692-8_4
   Khan I, 2019, ENVIRON SCI POLLUT R, V26, P33076, DOI 10.1007/s11356-019-06448-5
   Kharazmi R, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6726-z
   Kidane M, 2019, SPAT INF RES, V27, P151, DOI 10.1007/s41324-018-0222-y
   Kumar P, 2018, J MT SCI-ENGL, V15, P1658, DOI 10.1007/s11629-018-4902-9
   Kumar S, 2014, GEOMAT NAT HAZ RISK, V5, P145, DOI 10.1080/19475705.2013.795502
   Li HX, 2018, SCI TOTAL ENVIRON, V640, P543, DOI 10.1016/j.scitotenv.2018.05.324
   Li W, 2023, FOREST ECOL MANAG, V545, DOI 10.1016/j.foreco.2023.121309
   Li W, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1132248
   Liu QY, 2023, B SEISMOL SOC AM, V113, P2363, DOI 10.1785/0120230069
   Liu X, 2023, LAND-BASEL, V12, DOI 10.3390/land12040831
   Luo J, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2022.100293
   Luo J, 2022, CATENA, V217, DOI 10.1016/j.catena.2022.106497
   Majeed M, 2021, LAND-BASEL, V10, DOI 10.3390/land10101026
   Malik R, 2019, J AMB INTEL HUM COMP, V10, P3563, DOI 10.1007/s12652-018-1082-y
   Mannan A, 2019, GLOB ECOL CONSERV, V17, DOI 10.1016/j.gecco.2019.e00535
   Masood N., 2022, BUILDING CLIMATE RES, P225, DOI [10.1007/978, DOI 10.1007/978-3-030-79408-8_15, 10.1007/978-3-030-79408-8_15]
   Mubeen M, 2021, PAK J BOT, V53, P731, DOI 10.30848/PJB2021-2(38)
   Mumtaz F, 2023, SCI TOTAL ENVIRON, V905, DOI 10.1016/j.scitotenv.2023.166940
   Mumtaz F, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15030859
   Mumtaz F, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12182987
   Nauman S, 2019, WATER-SUI, V11, DOI 10.3390/w11051090
   Naz S., 2022, Building climate resilience in agriculture, DOI DOI 10.1007/978-3-030-79408-8_1
   Olmanson LG, 2016, REMOTE SENS ENVIRON, V185, P119, DOI 10.1016/j.rse.2016.01.007
   Orimoloye IR, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7252-6
   Rahman MTU, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6272-0
   Rani M., 2018, Remote Sensing Applications: Society and Environment, V10, P163, DOI [DOI 10.1016/J.RSASE, 10.1016/j.rsase]
   Romaguera M, 2018, REMOTE SENS ENVIRON, V204, P534, DOI 10.1016/j.rse.2017.10.003
   Sabagh A.E., 2020, Plant Stress Physiology, DOI [10.5772/intechopen.92098, DOI 10.5772/INTECHOPEN.92098]
   Safder Q., 2019, Int. J. Acad. Res. Bus. Soc. Sci., V9, P16, DOI [10.6007/IJARBSS/v9-i4, DOI 10.6007/IJARBSS/V9-I4]
   Saud S, 2016, ENVIRON SCI POLLUT R, V23, P17647, DOI 10.1007/s11356-016-6957-x
   Shang M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042101
   Tariq A, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10738-w
   Tariq S., 2023, Climate Change Impacts on Agriculture: Concepts, Issues and Policies for Developing Countries, V2023, P381
   Tian HF, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11070820
   Usman M, 2015, J GEOGR SCI, V25, P1479, DOI 10.1007/s11442-015-1247-y
   Waleed M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-17454-y
   Wang LX, 2018, GEOL J, V53, P435, DOI 10.1002/gj.3259
   Wu HX, 2022, J SYST SCI SYST ENG, V31, P133, DOI 10.1007/s11518-022-5521-0
   Wu XS, 2023, ATMOS RES, V295, DOI 10.1016/j.atmosres.2023.106982
   Xu LL, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8060495
   Yang Y, 2023, CARBON NEUTRALITY, V2, DOI 10.1007/s43979-023-00044-w
   Yin LR, 2023, LAND-BASEL, V12, DOI 10.3390/land12091813
   Yin ZT, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110765
   Zahoor SA., 2019, AGRONOMIC CROPS, P13, DOI [10.1007/978-981-32-9783-8_2, DOI 10.1007/978-981-32-9783-8_2]
   Zaidi SM, 2017, POL J ENVIRON STUD, V26, P2833, DOI 10.15244/pjoes/68878
   Zhang F, 2017, PHYS CHEM EARTH, V101, P195, DOI 10.1016/j.pce.2017.03.005
   Zhao M, 2020, REMOTE SENS ENVIRON, V248, DOI 10.1016/j.rse.2020.111980
   Zhou J, 2022, SCI BULL, V67, P474, DOI 10.1016/j.scib.2021.11.010
   Zhu GF, 2022, EARTH SYST SCI DATA, V14, P3773, DOI 10.5194/essd-14-3773-2022
   Zhu W, 2022, IEEE GEOSCI REMOTE S, V19, DOI 10.1109/LGRS.2022.3178242
   Zoungrana BJB, 2018, J ARID ENVIRON, V153, P66, DOI 10.1016/j.jaridenv.2018.01.005
NR 98
TC 16
Z9 16
U1 4
U2 7
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2024
VL 53
AR 101766
DI 10.1016/j.uclim.2023.101766
EA NOV 2023
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CR6C0
UT WOS:001126998800001
OA Bronze
DA 2025-01-10
ER

PT J
AU van der Velde, R
   de Wit, S
   Pouderoijen, M
AF van der Velde, Rene
   de Wit, Saskia
   Pouderoijen, Michiel
TI Cool Tree Architecture: A Descriptive Framework for a Tree Architecture
   Typology to Temper Urban
SO LANDSCAPE ARCHITECTURE FRONTIERS
LA English
DT Article
DE Tree Architecture; Urban Heat Island; Climate Adaptation; Urban
   Microclimate; Amelioration; Cool Tree Architecture Typology
ID CLIMATE-CHANGE; STREET; CITIES; HEAT
AB As the elementary unit of the urban forest, trees temper thermal extremes in urban microclimates through shading and evapotranspiration, and by altering the movement of air. Metrics on shade performances of different species, however, are currently limited, which can be remedied by the development of a method to describe the range of species and cultivars via a structured overview of physical characteristics impacting radiation reflectivity, absorptivity, and transmissivity. This paper proposes a descriptive framework based on the concept of "tree architecture," which has developed into a recognized field of plant study from the perspective of their physiognomy, morphology, and morphogenesis. The framework describes various architectural sub-traits within the overall trait categories of Crown, Wood, and Foliage. The descriptive framework can be used to develop a " Cool Tree Architecture Typology" (C-TAT), in which trees can be organized into similar types based on common physical characteristics. Further elaboration of sub-traits using observations of trees in controlled field laboratories resulted in new derivative classes for use as key in classifications for the C-TAT. The C- TAT can be used to organize the many species and cultivars occurring in, for example, Cfb Atlantic climate zone cities, to a lesser number of architectural types. This allows for more rapid evaluation and cooling performance calculations of tree inventories and can also be of value in assisting tree managers to propose more accurate thermal performance standards for trees in urban projects. The elaboration of tree architecture from an urban microclimate perspective complements existing elaborations and approaches in the field of tree architecture.
C1 [van der Velde, Rene; de Wit, Saskia; Pouderoijen, Michiel] Delft Univ Technol, Fac Architecture & Built Environm, Dept Urbanism, NL-2600 AA Delft, Netherlands.
C3 Delft University of Technology
RP van der Velde, R (corresponding author), Delft Univ Technol, Postbus 5, NL-2600 AA Delft, Netherlands.
EM J.R.T.vanderveldo@tudelft.nl
CR [Anonymous], 2012, Dendrologie van de lage landen
   [Anonymous], 2005, Glob. Environ. Change Part B Environ. Hazards, DOI [DOI 10.1016/J.HAZARDS.2004.12.002, 10.1016/j.hazards.2004.12.002]
   Barthélémy D, 2007, ANN BOT-LONDON, V99, P375, DOI 10.1093/aob/mcl260
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Block A. H., 2012, Responding to the Urban Heat Island: A Review of the Potential of Green Infrastructure, P1
   Evstigneev O. I, 2016, Russian Journal of Ecosystem Ecology, V1, P3, DOI [10.21685/2500-0578-2016-2-1, 10.21685/2500-0578-2016-3-2]
   FORDYCE IR, 1995, AUST J BOT, V43, P367, DOI 10.1071/BT9950367
   Gaffin SR, 2012, NAT CLIM CHANGE, V2, P704, DOI 10.1038/nclimate1685
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Halle F., 2012, Tropical trees and forests: an architectural analysis
   Helletsgruber C, 2020, FORESTS, V11, DOI 10.3390/f11101064
   JOHNSTON RD, 1984, AUST J BOT, V32, P529, DOI 10.1071/BT9840529
   Krussmann G., 1986, Manual of Cultivated BroadLeaved Trees & Shrubs, V1
   Leonardi Cesare., 2019, The Architecture of Trees
   Livesley SJ, 2016, J ENVIRON QUAL, V45, P119, DOI 10.2134/jeq2015.11.0567
   MacEvoy B., 2005, Color VisionAugust 1
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   Mayer H., 2009, 5 JAPANESEGERMAN M U, P211
   Miller R. W., 2015, Urban Forestry: Planning and Managing Urban Greenspaces, P4
   More D., 2013, Illustrated Trees of Britain & Europe, V2nd
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   OKE TR, 1989, PHILOS T ROY SOC B, V324, P335, DOI 10.1098/rstb.1989.0051
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   RAUNKIAER C., 1934
   Rix Martyn., 2013, The Golden Age of Botanical Art
   Rogers CDW, 2019, THEOR APPL CLIMATOL, V137, P441, DOI 10.1007/s00704-018-2599-x
   Roman LA, 2011, URBAN FOR URBAN GREE, V10, P269, DOI 10.1016/j.ufug.2011.05.008
   Rose JamesC., 1958, CREATIVE GARDENS
   San-Miguel-Ayanz J., 2016, European Atlas of Forest Tree Species, DOI DOI 10.2788/038466
   Sanusi R, 2017, LANDSCAPE URBAN PLAN, V157, P502, DOI 10.1016/j.landurbplan.2016.08.010
   Shashua-Bar L, 2011, INT J CLIMATOL, V31, P1498, DOI 10.1002/joc.2177
   von Goethe J. W., 1790, Versuch die Metamorphose der Pflanzen zu erklaren
   von Humboldt A., 1807, IDEEN GEOGRAPHIE PFL, V1
   WATSON DJ, 1947, ANN BOT-LONDON, V11, P41, DOI 10.1093/oxfordjournals.aob.a083148
   Wilby R.L., 2007, BUILD ENVIRON, V33, P31, DOI [10.2148/benv.33.1.31, DOI 10.2148/BENV.33.1.31]
   Zhao L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9f73
NR 36
TC 0
Z9 0
U1 2
U2 7
PU HIGHER EDUCATION PRESS
PI BEIJING
PA CHAOYANG DIST, 4, HUIXINDONGJIE, FUSHENG BLDG, BEIJING 100029, PEOPLES R
   CHINA
SN 2096-336X
EI 2095-5413
J9 LANDSC ARCHIT FRONT
JI Landsc. Archit. Front.
PD OCT
PY 2023
VL 11
IS 5
BP 30
EP 43
DI 10.15302/J-LAF-1-020084
PG 14
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA IA8A9
UT WOS:001163680600003
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Ballinger, MA
   Mack, KL
   Durkin, SM
   Riddell, EA
   Nachman, MW
   Futuyma, D
AF Ballinger, Mallory A.
   Mack, Katya L.
   Durkin, Sylvia M.
   Riddell, Eric A.
   Nachman, Michael W.
   Futuyma, Douglas
TI Environmentally robust<i> cis-</i> regulatory changes underlie rapid
   climatic adaptation
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE adaptation; cis-regulatory evolution; plasticity-eQTL; Mus
ID GENE-EXPRESSION; PHENOTYPIC PLASTICITY; ADAPTIVE EVOLUTION;
   ASSIMILATION; DIVERGENCE; COMPONENT; PANTHER; LIVER
AB Changes in gene expression are thought to play a major role in adaptive evolution. While it is known that gene expression is highly sensitive to the environment, very few studies have determined the influence of genetic and environmental effects on adaptive gene expression differences in natural populations. Here, we utilize allele- specific expression to characterize cis and trans gene regulatory divergence in temperate and tropical house mice in two metabolic tissues under two thermal conditions. First, we show that gene expression divergence is pervasive between populations and across thermal conditions, with roughly 5 to 10% of genes exhibiting genotypeby- environmentinteractions. Second, we found that most expression divergence was due to cis- regulatory changes that were stable across temperatures. In contrast, patterns of expression plasticity were largely attributable to trans- effects, which showed greater sensitivity to temperature. Nonetheless, we found a small subset of temperature- dependent cis- regulatory changes, thereby identifying loci underlying expression plasticity. Finally, we performed scans for selection in wild house mice to identify genomic signatures of rapid adaptation. Genomic outliers were enriched in genes with evidence for cis- regulatory divergence. Notably, these genes were associated with phenotypes that affected body weight and metabolism, suggesting that cis- regulatory changes are a possible mechanism for adaptive body size evolution between populations. Our results show that gene expression plasticity, largely controlled in trans, may facilitate the colonization of new environments, but that evolved changes in gene expression are largely controlled in cis, illustrating the genetic and non genetic mechanisms underlying the establishment of populations in new environments.
C1 [Ballinger, Mallory A.; Durkin, Sylvia M.; Nachman, Michael W.; Futuyma, Douglas] Univ Calif Berkeley, Museum Vertebrate Zool, Berkeley, CA 94720 USA.
   [Ballinger, Mallory A.; Durkin, Sylvia M.; Nachman, Michael W.] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA.
   [Ballinger, Mallory A.] Utah State Univ, Dept Biol, Logan, UT 84322 USA.
   [Mack, Katya L.] Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
   [Riddell, Eric A.] Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA 50011 USA.
C3 University of California System; University of California Berkeley;
   University of California System; University of California Berkeley; Utah
   System of Higher Education; Utah State University; Stanford University;
   Iowa State University
RP Ballinger, MA (corresponding author), Univ Calif Berkeley, Museum Vertebrate Zool, Berkeley, CA 94720 USA.; Ballinger, MA (corresponding author), Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA.; Ballinger, MA (corresponding author), Utah State Univ, Dept Biol, Logan, UT 84322 USA.
EM mallory.ballinger@berkeley.edu
OI Ballinger, Mallory/0000-0003-3087-0608; Durkin,
   Sylvia/0000-0002-7290-7336; Mack, Katya/0000-0003-0484-4553
FU Manaus, Brazil; NIH; NSF [ACI-1548562]; NSF Graduate Research Fellowship
   [DGE-1106400]; Junea W. Kelly Museum of Vertebrate Zoology Graduate
   Fellowship; University of California Berkeley Philomathia Graduate
   Fellowship; Stanford Center for Computational, Evolutionary and Human
   Genomics post-doctoral fellowship; National Institute of General Medical
   Sciences [R01GM127468] Funding Source: NIH RePORTER
FX ACKNOWLEDGMENTS. We thank Beth Dumont for providing whole genome
   sequences of MANA and SARA; Yocelyn Gutierrez-Guerrero for providing
   exome sequences from a population from Manaus, Brazil; and Lydia Smith
   and the Evolutionary Genomics Lab for assistance with RNA library
   preparation. We also thank Libby Beckman, Eva Fischer, Molly Womack,
   Douglas Futuyma, and four reviewers for helpful feedback on the
   manuscript. Funding and support for this work was provided by the NIH
   (R01 GM074245, R01 GM127468, and R35 GM149304 to M.W.N.) . This work
   used the Extreme Science and Engineering Discovery Environment, which is
   supported by NSF grant number ACI-1548562. M.A.B. was supported by a NSF
   Graduate Research Fellowship (DGE-1106400) , a Junea W. Kelly Museum of
   Vertebrate Zoology Graduate Fellowship, and a University of California
   Berkeley Philomathia Graduate Fellowship. K.L.M. was supported bya Ruth
   Kirschstein National Research Service Award from NIH and a Stanford
   Center for Computational, Evolutionary and Human Genomics post-doctoral
   fellowship.
CR Abumrad NA, 2017, CELL METAB, V26, P454, DOI 10.1016/j.cmet.2017.08.018
   Agwamba KD, 2023, G3-GENES GENOM GENET, V13, DOI 10.1093/g3journal/jkac332
   Anders S, 2015, BIOINFORMATICS, V31, P166, DOI 10.1093/bioinformatics/btu638
   Ballinger M. A., NCBI BioProject
   Ballinger M. A., Environmentally robust cisregulatory changes underlie rapid climatic adaptation
   Ballinger Mallory A, 2023, Zenodo, DOI 10.5281/ZENODO.8288001
   Ballinger MA, 2022, AM NAT, DOI 10.1086/719028
   Beckman EJ, 2022, GENETICS, V220, DOI 10.1093/genetics/iyab226
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bérubé J, 2013, EXP GERONTOL, V48, P533, DOI 10.1016/j.exger.2013.03.003
   Bittner NKJ, 2021, EVOLUTION, V75, P1477, DOI 10.1111/evo.14172
   Campbell-Staton SC, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26334-4
   Cannon B, 2004, PHYSIOL REV, V84, P277, DOI 10.1152/physrev.00015.2003
   Carroll SB, 2008, CELL, V134, P25, DOI 10.1016/j.cell.2008.06.030
   Chen J, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1004883
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   Coolon JD, 2018, GENOME RES, V28, P1766, DOI 10.1101/gr.244087.118
   Coolon JD, 2014, GENOME RES, V24, P797, DOI 10.1101/gr.163014.113
   Cooper TF, 2003, P NATL ACAD SCI USA, V100, P1072, DOI 10.1073/pnas.0334340100
   Corl A, 2018, CURR BIOL, V28, P2970, DOI 10.1016/j.cub.2018.06.075
   Cowles CR, 2002, NAT GENET, V32, P432, DOI 10.1038/ng992
   Crawford JE, 2017, AM J HUM GENET, V101, P752, DOI 10.1016/j.ajhg.2017.09.023
   Crowley JJ, 2015, NAT GENET, V47, P353, DOI 10.1038/ng.3222
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Ding SD, 2022, PLOS GENET, V18, DOI 10.1371/journal.pgen.1010453
   Dobin A, 2013, BIOINFORMATICS, V29, P15, DOI 10.1093/bioinformatics/bts635
   Ehrenreich IM, 2016, ANN BOT-LONDON, V117, P769, DOI 10.1093/aob/mcv130
   Ferris KG, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009495
   Fischer EK, 2016, INTEGR COMP BIOL, V56, P877, DOI 10.1093/icb/icw087
   Fraser HB, 2013, GENOME RES, V23, P1089, DOI 10.1101/gr.152710.112
   Fraser HB, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002023
   Fraser HB, 2010, P NATL ACAD SCI USA, V107, P2977, DOI 10.1073/pnas.0912245107
   Fresard L, 2019, NAT MED, V25, P911, DOI 10.1038/s41591-019-0457-8
   Fumagalli M, 2015, SCIENCE, V349, P1343, DOI 10.1126/science.aab2319
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Ghalambor CK, 2015, NATURE, V525, P372, DOI 10.1038/nature15256
   Gibson G, 2008, NAT REV GENET, V9, P575, DOI 10.1038/nrg2383
   Goncalves A, 2012, GENOME RES, V22, P2376, DOI 10.1101/gr.142281.112
   Grishkevich V, 2013, TRENDS GENET, V29, P479, DOI 10.1016/j.tig.2013.05.006
   Hallmark B, 2019, MOL BIOL EVOL, V36, P315, DOI 10.1093/molbev/msy211
   Harr B, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.75
   He F, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23558-2
   Hill MS, 2021, NAT REV GENET, V22, P203, DOI 10.1038/s41576-020-00304-w
   Ho WC, 2019, MOL BIOL EVOL, V36, P604, DOI 10.1093/molbev/msz002
   Hodgins-Davis A, 2009, TRENDS ECOL EVOL, V24, P649, DOI 10.1016/j.tree.2009.06.011
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Josephs EB, 2021, EVOL LETT, V5, P432, DOI 10.1002/evl3.241
   KING MC, 1975, SCIENCE, V188, P107, DOI 10.1126/science.1090005
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Lee SH, 2004, J LIPID RES, V45, P1674, DOI 10.1194/jlr.M400039-JLR200
   Lemos B, 2008, P NATL ACAD SCI USA, V105, P14471, DOI 10.1073/pnas.0805160105
   Li XYC, 2017, GENOME BIOL EVOL, V9, P1120, DOI 10.1093/gbe/evx072
   Li Y, 2006, PLOS GENET, V2, P2155, DOI 10.1371/journal.pgen.0020222
   López-Maury L, 2008, NAT REV GENET, V9, P583, DOI 10.1038/nrg2398
   Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
   LYNCH CB, 1992, AM NAT, V139, P1219, DOI 10.1086/285383
   Mack KL, 2018, GENOME RES, V28, P1636, DOI 10.1101/gr.238998.118
   Mack KL, 2016, GENOME RES, V26, P451, DOI 10.1101/gr.195743.115
   Malaspinas AS, 2016, NATURE, V538, P207, DOI 10.1038/nature18299
   Mallard F, 2018, NATURE, V555, pE21, DOI 10.1038/nature25496
   Mattioli K, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02110-3
   McManus CJ, 2010, GENOME RES, V20, P816, DOI 10.1101/gr.102491.109
   Mi HY, 2013, NUCLEIC ACIDS RES, V41, pD377, DOI 10.1093/nar/gks1118
   Morgan AP, 2022, HEREDITY, V129, P183, DOI 10.1038/s41437-022-00551-z
   Ntambi JM, 2002, P NATL ACAD SCI USA, V99, P11482, DOI 10.1073/pnas.132384699
   Phifer-Rixey M, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007672
   Price TD, 2003, P ROY SOC B-BIOL SCI, V270, P1433, DOI 10.1098/rspb.2003.2372
   Promislow D, 2005, AM NAT, V165, P515, DOI 10.1086/429161
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Riddell EA, 2022, EVOLUTION, V76, P3001, DOI 10.1111/evo.14643
   Shen SQ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109382
   Shore AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068933
   Signor SA, 2018, TRENDS GENET, V34, P532, DOI 10.1016/j.tig.2018.03.007
   Simcox J, 2017, CELL METAB, V26, P509, DOI 10.1016/j.cmet.2017.08.006
   Smith EN, 2008, PLOS BIOL, V6, P810, DOI 10.1371/journal.pbio.0060083
   Stern DL, 2008, EVOLUTION, V62, P2155, DOI 10.1111/j.1558-5646.2008.00450.x
   Stern DL, 2009, SCIENCE, V323, P746, DOI 10.1126/science.1158997
   Thomas PD, 2003, GENOME RES, V13, P2129, DOI 10.1101/gr.772403
   TICHY H, 1994, FOLIA BIOL-PRAGUE, V40, P483
   Tirosh I, 2009, SCIENCE, V324, P659, DOI 10.1126/science.1169766
   van de Geijn B, 2015, NAT METHODS, V12, P1061, DOI [10.1038/NMETH.3582, 10.1038/nmeth.3582]
   van der Burg KRL, 2020, SCIENCE, V370, P721, DOI 10.1126/science.aaz3017
   van Gestel J, 2018, NATURE, V555, pE19, DOI 10.1038/nature25495
   Verta JP, 2019, ELIFE, V8, DOI 10.7554/eLife.43785
   Waddington CH, 1942, NATURE, V150, P563, DOI 10.1038/150563a0
   WADDINGTON CH, 1953, EVOLUTION, V7, P118, DOI 10.2307/2405747
   WADDINGTON CH, 1952, NATURE, V169, P625, DOI 10.1038/169625b0
   Weng MP, 2017, BIOINFORMATICS, V33, P3505, DOI 10.1093/bioinformatics/btx426
   West-Eberhard Mary Jane, 2003, pi
   Westerberg R, 2006, J BIOL CHEM, V281, P4958, DOI 10.1074/jbc.M511588200
   Wittkopp PJ, 2012, NAT REV GENET, V13, P59, DOI 10.1038/nrg3095
   Wittkopp PJ, 2004, NATURE, V430, P85, DOI 10.1038/nature02698
   Wray GA, 2003, MOL BIOL EVOL, V20, P1377, DOI 10.1093/molbev/msg140
   Wray GA, 2007, NAT REV GENET, V8, P206, DOI 10.1038/nrg2063
   Yi X, 2010, SCIENCE, V329, P75, DOI 10.1126/science.1190371
   York RA, 2018, P NATL ACAD SCI USA, V115, pE11081, DOI 10.1073/pnas.1810140115
   Zande PV, 2022, MOL BIOL EVOL, V39, DOI 10.1093/molbev/msac266
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
NR 98
TC 7
Z9 7
U1 4
U2 10
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD SEP 26
PY 2023
VL 120
IS 39
AR e2214614120
DI 10.1073/pnas.2214614120
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA IY2H2
UT WOS:001169830700005
PM 37725649
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Vrotsou, K
   Navarra, C
   Kucher, K
   Fedorov, I
   Schueck, F
   Unger, J
   Neset, TS
AF Vrotsou, Katerina
   Navarra, Carlo
   Kucher, Kostiantyn
   Fedorov, Igor
   Schueck, Fredrik
   Unger, Jonas
   Neset, Tina-Simone
TI Towards a Volunteered Geographic Information-Facilitated Visual
   Analytics Pipeline to Improve Impact-Based Weather Warning Systems
SO ATMOSPHERE
LA English
DT Article
DE weather warning systems; flooding; volunteered geographic information;
   visualization; visual analytics; artificial intelligence; machine
   learning; natural language processing; classification; social media
ID SOCIAL MEDIA; DESIGN
AB Extreme weather events, such as flooding, are expected to increase in frequency and intensity. Therefore, the prediction of extreme weather events, assessment of their local impacts in urban environments, and implementation of adaptation measures are becoming high-priority challenges for local, regional, and national agencies and authorities. To manage these challenges, access to accurate weather warnings and information about the occurrence, extent, and impacts of extreme weather events are crucial. As a result, in addition to official sources of information for prediction and monitoring, citizen volunteered geographic information (VGI) has emerged as a complementary source of valuable information. In this work, we propose the formulation of an approach to complement the impact-based weather warning system that has been introduced in Sweden in 2021 by making use of such alternative sources of data. We present and discuss design considerations and opportunities towards the creation of a visual analytics (VA) pipeline for the identification and exploration of extreme weather events and their impacts from VGI texts and images retrieved from social media. The envisioned VA pipeline incorporates three main steps: (1) data collection, (2) image/text classification and analysis, and (3) visualization and exploration through an interactive visual interface. We envision that our work has the potential to support three processes that involve multiple stakeholders of the weather warning system: (1) the validation of previously issued warnings, (2) local and regional assessment-support documentation, and (3) the monitoring of ongoing events. The results of this work could thus generate information that is relevant to climate adaptation decision making and provide potential support for the future development of national weather warning systems.
C1 [Vrotsou, Katerina; Kucher, Kostiantyn; Fedorov, Igor; Unger, Jonas] Linkoping Univ, Dept Sci & Technol, S-60233 Norrkoping, Sweden.
   [Navarra, Carlo; Neset, Tina-Simone] Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
   [Schueck, Fredrik] Swedish Meteorol & Hydrol Inst, Forecast & Warning Serv, S-60176 Norrkoping, Sweden.
C3 Linkoping University; Linkoping University; Swedish Meteorological &
   Hydrological Institute
RP Vrotsou, K (corresponding author), Linkoping Univ, Dept Sci & Technol, S-60233 Norrkoping, Sweden.
EM katerina.vrotsou@liu.se
RI Navarra, Carlo/JJC-1654-2023; Fedorov, Igor/ABG-5486-2021
OI Navarra, Carlo/0000-0001-9892-8875; Fedorov, Igor/0000-0002-7235-4823;
   Unger, Jonas/0000-0002-7765-1747; Neset,
   Tina-Simone/0000-0003-1151-9943; Vrotsou, Katerina/0000-0003-4761-8601
FU Sweden's Innovation Agency, VINNOVA [2020-03388]; Vinnova [2020-03388]
   Funding Source: Vinnova
FX This research was funded by Sweden's Innovation Agency, VINNOVA, grant
   number 2020-03388, AI for Climate Adaptation'.
CR Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   [Anonymous], 2015, WMO Guidelines on Multi-hazard Impact-based Forecast and Warning Services
   [Anonymous], 2019, ROADWAY FLOODING IMA
   Aroyo L, 2015, AI MAG, V36, P15, DOI 10.1609/aimag.v36i1.2564
   Artstein R, 2008, COMPUT LINGUIST, V34, P555, DOI 10.1162/coli.07-034-R2
   Bosch H, 2013, IEEE T VIS COMPUT GR, V19, P2022, DOI 10.1109/TVCG.2013.186
   Buscaldi D., 2011, Sigspatial Special, V3, P16, DOI [10.1145/2047296.2047300, DOI 10.1145/2047296.2047300]
   Cai HY, 2015, MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE, P89, DOI 10.1145/2733373.2806236
   Cerutti V., 2016, P 19 AGILE C GEOGRAP
   Chae J, 2014, COMPUT GRAPH-UK, V38, P51, DOI 10.1016/j.cag.2013.10.008
   Chowdhary K, 2020, FUNDAM ARTIF INTELL, P603, DOI [10.5555/1074100.1074630, DOI 10.5555/1074100.1074630, 10.1007/978-81-322-3972-7_19]
   Feng Y, 2022, INT J GEOGR INF SCI, V36, P1275, DOI 10.1080/13658816.2022.2048835
   Feng Y, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7020039
   Goodchild MF, 2007, GEOJOURNAL, V69, P211, DOI 10.1007/s10708-007-9111-y
   He KM, 2016, PROC CVPR IEEE, P770, DOI 10.1109/CVPR.2016.90
   Huang G, 2017, PROC CVPR IEEE, P2261, DOI 10.1109/CVPR.2017.243
   Imran M, 2020, INFORM PROCESS MANAG, V57, DOI 10.1016/j.ipm.2020.102261
   Isenberg T, 2013, IEEE T VIS COMPUT GR, V19, P2818, DOI 10.1109/TVCG.2013.126
   Keim D, 2008, LECT NOTES COMPUT SC, V4950, P154, DOI 10.1007/978-3-540-70956-5
   Kowsari K, 2019, INFORMATION, V10, DOI 10.3390/info10040150
   Kucher K, 2016, INFORM VISUAL, V15, P93, DOI 10.1177/1473871615575079
   Liu JZ, 2017, SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, P115, DOI 10.1145/3077136.3080834
   MacEachren A. M., 2011, 2011 IEEE Conference on Visual Analytics Science and Technology, P181, DOI 10.1109/VAST.2011.6102456
   Magge A, 2018, BIOINFORMATICS, V34, P565, DOI 10.1093/bioinformatics/bty273
   Marcus A, 2011, 29TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P227
   [Masson-Delmotte IPCC. IPCC.], 2021, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [10.1017/9781009157896.001, DOI 10.1017/9781009157896.001]
   Middleton SE, 2018, ACM T INFORM SYST, V36, DOI 10.1145/3202662
   Miksch S, 2014, COMPUT GRAPH-UK, V38, P286, DOI 10.1016/j.cag.2013.11.002
   Minaee S, 2022, ACM COMPUT SURV, V54, DOI 10.1145/3439726
   Olteanu A., 2014, P INT AAAI C WEB SOC, V8, P376
   Opach T, 2023, ENVIRON PLAN B-URBAN, V50, P1806, DOI 10.1177/23998083221136557
   Ostermann F.O., 2011, P 14 AGILE INT C GEO
   Plank B, 2014, PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2, P507
   Qian SS, 2016, IEEE T MULTIMEDIA, V18, P233, DOI 10.1109/TMM.2015.2510329
   Rawat W, 2017, NEURAL COMPUT, V29, P2352, DOI [10.1162/NECO_a_00990, 10.1162/neco_a_00990]
   Schultze Lisbeth, 2022, Forsta rapporten fran Nationella expertradet for klimatanpassning 2022 The First Report by the National Expert Council on Climate Change Adaptation 2022
   Sedlmair M, 2012, IEEE T VIS COMPUT GR, V18, P2431, DOI 10.1109/TVCG.2012.213
   Sester M., 2014, Abstracting Geographic Information in a Data Rich World, P119, DOI 10.1007/978-3-319-00203-3_5
   Shneiderman B, 1996, IEEE SYMPOSIUM ON VISUAL LANGUAGES, PROCEEDINGS, P336, DOI 10.1109/VL.1996.545307
   SMHI, INTR IMP BAS WEATH W
   Steen M, 2013, DES ISSUES, V29, P16, DOI 10.1162/DESI_a_00207
   Styve L, 2022, CLIMATE, V10, DOI 10.3390/cli10110174
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tan MX, 2019, PR MACH LEARN RES, V97
   Temnikova I., 2015, P 12 INT C INF SYST
   Thieken AH, 2016, ECOL SOC, V21, DOI 10.5751/ES-08547-210251
   Thomas J. J., 2005, Illuminating the Path: The Research and Development Agenda for Visual Analytics
   Uma AN, 2021, J ARTIF INTELL RES, V72, P1385
   Weyand T, 2016, LECT NOTES COMPUT SC, V9912, P37, DOI 10.1007/978-3-319-46484-8_3
   Wolf T, 2020, PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS, P38
   Xu CW, 2019, WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), P3391, DOI 10.1145/3308558.3313491
   Zahra K, 2020, INFORM PROCESS MANAG, V57, DOI 10.1016/j.ipm.2019.102107
   Zhang C, 2019, INT J INFORM MANAGE, V49, P190, DOI 10.1016/j.ijinfomgt.2019.04.004
   Zhuang FZ, 2021, P IEEE, V109, P43, DOI 10.1109/JPROC.2020.3004555
NR 54
TC 0
Z9 0
U1 1
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD JUL
PY 2023
VL 14
IS 7
AR 1141
DI 10.3390/atmos14071141
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA N6DK4
UT WOS:001037893300001
OA Green Submitted, gold, Green Published
DA 2025-01-10
ER

PT J
AU Hegazi, YS
AF Hegazi, Yasmine Sabry
TI Resilience Adaptation Approach for Reducing the Negative Impact of
   Climate Change on Coastal Heritage Sites through Machine Learning
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE resilience; climate adaptation; coastal heritage sites; machine
   learning; WEKA; Infra Nodus
ID CULTURAL-HERITAGE; EVALUATE
AB The continuous cumulative worsening impact of climate change on heritage sites represents a new challenge for most of the nonrenewable resources of heritage sites and buildings in general; this is especially true with respect to coastal heritage sites, which are facing a more dangerous situation as the climate becomes more extreme in coastal areas and sea levels rise, putting heritage sites at risk. A strict adaptation plan, usually made for reducing the impact of climate change, may not be the solution, as different heritage site locations, materials, and hazard types need tailored plans. Therefore, in this research paper, a resilience approach was introduced to help adapt the most problematic sites to the impacts of climate change, i.e., coastal heritage sites. To fulfill the objective of achieving adaptation in a resilient way that can easily be developed in relation to different types of sites, mixed research methods were used. First, the literature was reviewed using the Connected Papers tool. Then, machine learning methods were used to process and analyze the input data of the resilience adaptation plan for an Egyptian coastal heritage site case study, i.e., Alexandria. Next, the data were arranged and analyzed, highlighting the main classifying algorithms responsible for identifying the resilience range, using the machine learning software packages Infra Nodus and WEKA, according to the differences in the climate change impact at the heritage sites. The final outcome of this research is a resilience approach that can be adapted to rescue plans for coastal heritage sites via machine learning.
C1 [Hegazi, Yasmine Sabry] Zagazig Univ, Fac Engn, Architecture Dept, Zagazig 44519, Egypt.
C3 Egyptian Knowledge Bank (EKB); Zagazig University
RP Hegazi, YS (corresponding author), Zagazig Univ, Fac Engn, Architecture Dept, Zagazig 44519, Egypt.
EM yasmine_sabry@yahoo.com
RI Sabry, Yasmine/AAC-3613-2019
OI Sabry Hegazi, Yasmine/0000-0001-6675-1307
CR [Anonymous], 2009, SIGKDD Explor, DOI [DOI 10.1145/1656274.1656278, 10.1145/1656274.1656278]
   Attwal KPS, 2020, ADV APPL MATH SCI, V19, P451
   Carmichael B, 2018, MITIG ADAPT STRAT GL, V23, P231, DOI 10.1007/s11027-016-9734-8
   Colette A., 2007, PUBLICATION BASED DO
   Daly C, 2014, CONSERV MANAGE ARCHA, V16, P268, DOI 10.1179/1350503315Z.00000000086
   Division on Earth and Life Studies National Research Council, 2012, CLIM CHANG EV IMP CH
   Eldiasty A, 2021, AIN SHAMS ENG J, V12, P4233, DOI 10.1016/j.asej.2021.04.017
   Ezcurra P, 2018, J CULT HERIT, V32, P198, DOI 10.1016/j.culher.2018.01.016
   Fatoric S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112143
   Fatoric S, 2017, CLIMATIC CHANGE, V142, P227, DOI 10.1007/s10584-017-1929-9
   Frank E, 2010, DATA MINING AND KNOWLEDGE DISCOVERY HANDBOOK, SECOND EDITION, P1269, DOI 10.1007/978-0-387-09823-4_66
   Haugen A, 2011, INT J CLIM CHANG STR, V3, P386, DOI 10.1108/17568691111175678
   Heathcote J, 2017, HIST ENVIRON POLICY, V8, P89, DOI 10.1080/17567505.2017.1317071
   Hermann C., 2017, J HERIT MANAG, V2, P32, DOI [10.1177/2455929617726927, DOI 10.1177/2455929617726927]
   Huijbregts Z, 2012, BUILD ENVIRON, V55, P43, DOI 10.1016/j.buildenv.2012.01.008
   Hwang H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105596
   Kumar P, 2020, ACM J COMPUT CULT HE, V13, DOI 10.1145/3383314
   Leissner J, 2015, HERIT SCI, V3, DOI 10.1186/s40494-015-0067-9
   Markham A., 2016, WORLD HERITAGE TOURI
   Marzeion B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034001
   Morcos S., 2003, Towards integrated management of Alexandrias coastal heritage
   nj, About us
   Phillips H, 2014, HIST ENVIRON POLICY, V5, P288, DOI 10.1179/1756750514Z.00000000062
   Sabbioni Cristina., 2010, The atlas of climate change impact on European cultural heritage
   Sackman H., 1974, Delphi assessment: Expert opinion, forecasting, and group process
   Seekamp E., 2019, OPTIMIZING HIST PRES
   United Nations, 2015, Paris Agreement
NR 27
TC 2
Z9 2
U1 4
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD NOV
PY 2022
VL 12
IS 21
AR 10916
DI 10.3390/app122110916
PG 26
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA 6A8OR
UT WOS:000880908400001
OA Green Published
DA 2025-01-10
ER

PT J
AU Sareen, S
   Waagsaether, KL
AF Sareen, Siddharth
   Waagsaether, Katinka Lund
TI New municipalism and the governance of urban transitions to
   sustainability
SO URBAN STUDIES
LA English
DT Article
DE new municipalism; incumbency; participation; policy alignment; urban
   sustainability transformation
ID CLIMATE GOVERNANCE; CITIES; CITY; TRANSFORMATIONS; TECHNOLOGY; INSIGHTS
AB Cities play increasingly recognised roles in global climate change responses: as change laboratories, spaces of opportunity, and as administrative and economic hubs that concentrate human and financial resources and needs. They host high climate mitigation potential and acute climate adaptation vulnerabilities. Scholarship flags conventional urban planning approaches to limit global warming to 1.5 degrees C as inadequate. Yet urban sustainability transitions literature features few examples of functioning alternative governance and planning paradigms. This paper assesses one such approach, new municipalism: social movements centred on a democratic transformation of the local economy and state. We combine attention to urban sustainability transitions and new municipalism research to interrogate whether and how the latter can facilitate the provision of leadership and institutional arrangements that enable urban transformation to sustainability. Our desk study considers two prominent examples of new municipalism in Spain, where Barcelona en Comu and Ahora Madrid arose as anti-austerity movements to combat neoliberal urban agendas during the 2010s. We find that the praxis of collective decision-making associated with new municipalism does offer inclusive, innovative policy pathways and the potential to implement experimental knowledge and learning in complex real-world settings at the urban scale. We argue, however, that powerful neoliberal mechanisms impose structural constraints on the very push for deep political change that new municipalist movements embody. By linking transformative climate governance needs with new municipalism movements and wider political economic structuring forces, we explicate the tensions and contested dynamics of institutionalising progressive social movements in the multi-scalar governance of urban sustainability transformation.
C1 [Sareen, Siddharth] Univ Stavanger, Stavanger, Norway.
   [Waagsaether, Katinka Lund] Univ Bergen, Bergen, Norway.
C3 Universitetet i Stavanger; University of Bergen
RP Sareen, S (corresponding author), Univ Stavanger, Dept Media & Social Sci, Kjell Arholms Gate 23, N-4021 Stavanger, Norway.
EM siddharth.sareen@uis.no
RI Sareen, Siddharth/W-7168-2018; Sareen, Siddharth/D-8961-2015
OI Sareen, Siddharth/0000-0002-0826-7311
FU Research Council of Norway [321421]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: JPI
   Climate, ROLES (Responsive Organising for Low Emission Societies)
   project, and the Research Council of Norway, grant 321421 (ROLES).
CR Allen J., 2012, Dialogues in Human Geography, V2, P190
   Angel J, 2021, ANTIPODE, V53, P524, DOI 10.1111/anti.12687
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 2004, European Journal of Development Research, DOI [10.1080/09578810410001688707, DOI 10.1080/09578810410001688707]
   [Anonymous], 2021, Renewables in Cities 2021 Global Status Report
   Aragon Pablo, 2017, Social Informatics. 9th International Conference, SocInfo 2017. Proceedings: LNCS 10540, P277, DOI 10.1007/978-3-319-67256-4_22
   Barcelona En Comu, 2019, FEARL CIT GUID GLOB
   Barcelona Energia, 2021, CON
   Barry J., 2012, The politics of actually existing unsustainability: Existing, flourishing in a climate-changed carbon-contained world
   Blanco I, 2020, J URBAN AFF, V42, P18, DOI 10.1080/07352166.2018.1559648
   Bookchin M., 1991, Green Perspectives, V24, P1
   Bravo RB, 2019, INT J COMMUN-US, V13, P5671
   Bouzarovski S, 2019, T I BRIT GEOGR, V44, P256, DOI 10.1111/tran.12275
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2006, ENVIRON PLANN A, V38, P1029, DOI 10.1068/a37300
   Chaffin BC, 2016, J ENVIRON MANAGE, V165, P81, DOI 10.1016/j.jenvman.2015.09.003
   City of Madrid, 2021, DEC MADR
   Davies JS, 2017, ENVIRON PLANN A, V49, P1517, DOI 10.1177/0308518X17701729
   Díaz-Pont J, 2021, ENVIRON POLICY GOV, V31, P18, DOI 10.1002/eet.1903
   Docherty I, 2018, TRANSPORT RES A-POL, V115, P114, DOI 10.1016/j.tra.2017.09.012
   Flyvbjerg B, 2002, J PLAN EDUC RES, V21, P353, DOI 10.1177/0739456X0202100401
   Gilbert A., 2020, Soundings, V74, P68
   Guy S., 2001, Urban infrastructure in transition: Networks, buildings, plans
   Haarstad H, 2018, ENERGY RES SOC SCI, V42, P193, DOI 10.1016/j.erss.2018.03.021
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Hölscher K, 2019, J ENVIRON MANAGE, V231, P843, DOI 10.1016/j.jenvman.2018.10.043
   Hommels A, 2005, SCI TECHNOL HUM VAL, V30, P323, DOI 10.1177/0162243904271759
   Howes M, 2015, J ENVIRON PLANN MAN, V58, P757, DOI 10.1080/09640568.2014.891974
   Janoschka M, 2021, URBAN STUD, V58, P2814, DOI 10.1177/0042098020925345
   Kivimaa P, 2022, RES POLICY, V51, DOI 10.1016/j.respol.2021.104412
   Kythreotis AP, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00010
   Lawhon M, 2012, PROG HUM GEOG, V36, P354, DOI 10.1177/0309132511427960
   Lopez I, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11040410
   March H, 2019, WATER ALTERN, V12, P360
   Martí-Costa M, 2017, URBAN STUD, V54, P2107, DOI 10.1177/0042098016669452
   Mayne Q., 2020, Harvard Kennedy School Faculty Research Working Paper Series
   Michener J., 2018, OPEN DEMOCRACY
   Moloney S, 2015, SUSTAINABILITY-BASEL, V7, P2437, DOI 10.3390/su7032437
   Monstadt J, 2009, ENVIRON PLANN A, V41, P1924, DOI 10.1068/a4145
   OECD, 2020, Innovative Citizen Participation and New Democratic Institutions: Catching the Deliberative Wave
   Ostrom E, 2012, ECON THEOR, V49, P353, DOI 10.1007/s00199-010-0558-6
   Patterson JJ, 2019, J ENVIRON PLANN MAN, V62, P374, DOI 10.1080/09640568.2018.1510767
   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]
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Ross A, 2021, LOCAL ENVIRON, V26, P1512, DOI 10.1080/13549839.2021.1990235
   Royo S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041674
   Rubio-Pueyo V., 2017, Municipalism in Spain: From Barcelona to Madrid, and Beyond Municipalism in Spain
   Russell B, 2019, ANTIPODE, V51, P989, DOI 10.1111/anti.12520
   Silva L, 2021, LOCAL ENVIRON, V26, P347, DOI 10.1080/13549839.2020.1837091
   Smeds E, 2018, GLOB POLICY, V9, P549, DOI 10.1111/1758-5899.12587
   Smith A, 2021, J URBAN TECHNOL, V28, P311, DOI 10.1080/10630732.2020.1786337
   Solecki W, 2018, NAT CLIM CHANGE, V8, P177, DOI 10.1038/s41558-018-0101-5
   Swyngedouw E, 2014, DOC ANAL GEOGR, V60, P459, DOI 10.5565/rev/dag.155
   Tarriño-Ortiz J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063251
   Thompson M, 2021, PROG HUM GEOG, V45, P317, DOI 10.1177/0309132520909480
   Turnheim B, 2012, ENERG POLICY, V50, P35, DOI 10.1016/j.enpol.2012.04.060
   van der Heijden J, 2019, J ENVIRON PLANN MAN, V62, P365, DOI 10.1080/09640568.2018.1513832
   Voss JP, 2018, POLICY SCI, V51, P213, DOI 10.1007/s11077-018-9313-9
   Ysa T., 2007, INT PUBLIC MANAG J, V10, P35, DOI DOI 10.1080/10967490601185724
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
NR 62
TC 20
Z9 20
U1 8
U2 37
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 AUG
PY 2023
VL 60
IS 11
SI SI
BP 2271
EP 2289
DI 10.1177/00420980221114968
EA SEP 2022
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA O6TL1
UT WOS:000851252800001
OA Green Published
DA 2025-01-10
ER

PT J
AU Paramesh, V
   Kumar, P
   Shamim, M
   Ravisankar, N
   Arunachalam, V
   Nath, AJ
   Mayekar, T
   Singh, R
   Prusty, AK
   Rajkumar, RS
   Panwar, AS
   Reddy, VK
   Pramanik, M
   Das, A
   Manohara, KK
   Babu, S
   Kashyap, P
AF Paramesh, Venkatesh
   Kumar, Parveen
   Shamim, Mohammad
   Ravisankar, Natesan
   Arunachalam, Vadivel
   Nath, Arun Jyoti
   Mayekar, Trivesh
   Singh, Raghuveer
   Prusty, Ashisa K.
   Rajkumar, Racharla Solomon
   Panwar, Azad Singh
   Reddy, Viswanatha K.
   Pramanik, Malay
   Das, Anup
   Manohara, Kallakeri Kannappa
   Babu, Subhash
   Kashyap, Poonam
TI Integrated Farming Systems as an Adaptation Strategy to Climate Change:
   Case Studies from Diverse Agro-Climatic Zones of India
SO SUSTAINABILITY
LA English
DT Article
DE climate change; climate adaption; rainfall anomaly; Mann-Kendal test;
   integrated farming system; agro-climatic zone
ID FARMERS PERCEPTIONS; AGRICULTURE IMPACTS; DRYLAND FARMERS; DATA SET;
   LIVESTOCK; ADOPTION; REGION; CARBON; CONSUMPTION; AWARENESS
AB Climate change impacts agricultural productivity and farmers' income, integrated farming systems (IFS) provide a mechanism to cope with such impacts. The nature and extent of climatic aberrations, perceived impact, and adaptation strategies by the farmers reduce the adverse effects of climate change on agriculture. Therefore, a study was conducted to investigate 2160 IFS farmers about their perceptions of climate change, barriers, and the likelihood of adapting to the negative impacts of climate change. The study observed an increasing rainfall trend for humid (4.18 mm/year) and semi-arid (0.35 mm/year) regions, while a decreasing trend was observed in sub-humid (-2.02 mm/year) and arid (-0.20 mm/year) regions over the last 38 years. The annual rise in temperature trends observed in different ACZs varied between 0.011-0.014 degrees C. Nearly 79% of IFS farmers perceived an increase in temperature, decreasing rainfall, variability in the onset of monsoon, heavy terminal rains, mid-season dry spells, and frequent floods due to climate change. The arid, semi-arid, sub-humid, and humid farmers' adapted several measures in different components with an adaption index of 50.2%, 66.6%, 83.3%, and 91.6%, respectively. The majority of the IFS farmers perceived constraints in adopting measures to climate change, such as meta barriers, capacity barriers, and water barriers. Therefore, we infer that educated farmers involved in diversified and profitable farms with small to medium landholdings are concerned more about climate change in undertaking adaptive strategies to reduce the environmental impact of climate change.
C1 [Paramesh, Venkatesh; Kumar, Parveen; Arunachalam, Vadivel; Mayekar, Trivesh; Rajkumar, Racharla Solomon; Manohara, Kallakeri Kannappa] ICAR Cent Coastal Agr Res Inst, Old Goa 403402, Goa, India.
   [Shamim, Mohammad; Ravisankar, Natesan; Singh, Raghuveer; Prusty, Ashisa K.; Panwar, Azad Singh; Kashyap, Poonam] ICAR Indian Inst Farming Syst Res, Meerut 250110, Uttar Pradesh, India.
   [Nath, Arun Jyoti] Assam Univ, Dept Ecol & Environm Sci, Silchar 788011, Assam, India.
   [Reddy, Viswanatha K.] ICAR Cent Tobacco Res Inst, Rajahmundry 533105, Andhra Pradesh, India.
   [Pramanik, Malay] Asian Inst Technol, Dept Dev & Sustainabil, Urban Innovat & Sustainabil, Pathum Thani 12120, Thailand.
   [Das, Anup] ICAR Res Complex, Tripura Ctr, Agartala 799210, Tripura, India.
   [Babu, Subhash] ICAR Indian Agr Res Inst, New Delhi 110012, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Central Coastal
   Agricultural Research Institute; Indian Council of Agricultural Research
   (ICAR); ICAR - Indian Institute of Farming Systems Research; Assam
   University; Indian Council of Agricultural Research (ICAR); ICAR -
   Central Tobacco Research Institute; Asian Institute of Technology;
   Indian Council of Agricultural Research (ICAR); ICAR - Indian
   Agricultural Research Institute
RP Kumar, P (corresponding author), ICAR Cent Coastal Agr Res Inst, Old Goa 403402, Goa, India.; Ravisankar, N (corresponding author), ICAR Indian Inst Farming Syst Res, Meerut 250110, Uttar Pradesh, India.
EM parveen.kumar@icar.gov.in; n.ravisankar@icar.gov.in
RI Shamim, Md/JPX-7856-2023; Babu, Subhash/AFL-0729-2022; Pramanik,
   Malay/AAU-1085-2021; Reddy K, Viswanatha/GNH-3229-2022; Venkatesh,
   Paramesh/AAL-6343-2020
OI Arunachalam, Vadivel/0000-0001-5728-1526; N,
   Ravisankar/0000-0002-0166-7558; Venkatesh, Paramesh/0000-0003-4759-5139;
   Babu, Subhash/0000-0003-4469-0157; Pramanik, Malay/0000-0002-7085-1236;
   Reddy K, Viswanatha/0000-0002-2770-7722; Prusty, Ashisa
   Kumar/0000-0003-3402-9744; Kumar, Parveen/0000-0001-9352-8303; Nath,
   Arun Jyoti/0000-0002-6453-5595
FU Indian Council of Agricultural Research, New Delhi, India; ICAR-Indian
   Institute of Farming System Research, Modipuram, India; ICAR-Central
   Coastal Agricultural Research Institute, Goa, India
FX The authors gratefully acknowledge the financial support provided by the
   Indian Council of Agricultural Research, New Delhi, India, ICAR-Indian
   Institute of Farming System Research, Modipuram, India, and ICAR-Central
   Coastal Agricultural Research Institute, Goa, India, for research
   activities.
CR Adejuwon JO, 2006, J CLIMATE, V19, P483, DOI 10.1175/JCLI3642.1
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
   AGGARWAL PK, 2002, 2 EFFECT UNCERTAINTI, V52, P331
   Akimowicz M, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123654
   Amjath-Babu TS, 2016, ECOL INDIC, V67, P830, DOI 10.1016/j.ecolind.2016.03.030
   [Anonymous], 2012, WORKING PAPER SERIES
   [Anonymous], 2009, IMPACT CLIMATE CHANG
   Apata T., 2011, FACTORS INFLUENCING
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Asrat P., 2017, J AGR SCI TECHNOL, V7, P289, DOI [https://doi.org/10.17265/2161-6256/2017.05.001, DOI 10.17265/2161-6256/2017.05.001]
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Birthal P. S., 2014, Indian Journal of Agricultural Economics, V69, P474
   Bobadoye A.O., 2016, ACAD J INTERDISCIPLI, V5, P37, DOI DOI 10.5901/AJIS.2016.V5N1P37
   Clarke CL, 2012, AFR J RANGE FOR SCI, V29, P13, DOI 10.2989/10220119.2012.687041
   Corwin DL, 2021, EUR J SOIL SCI, V72, P842, DOI 10.1111/ejss.13010
   Devkota RP, 2014, INT J GLOBAL WARM, V6, P113, DOI 10.1504/IJGW.2014.058758
   Dhanya P, 2016, J INTEGR ENVIRON SCI, V13, P1, DOI 10.1080/1943815X.2015.1062031
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Etwire PM, 2020, AGR SYST, V179, DOI 10.1016/j.agsy.2019.102773
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Foguesatto CR, 2020, ENVIRON DEV SUSTAIN, V22, P1, DOI 10.1007/s10668-018-0193-0
   Forouzani M, 2013, J ARID ENVIRON, V97, P190, DOI 10.1016/j.jaridenv.2013.07.003
   Frumhoff P.C., 2007, Confronting climate change in the U.S. Northeast: science, impacts
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Glantz M.H., 2009, COPING CHANGING CLIM, P1
   Gramig BM, 2013, CLIM RES, V56, P157, DOI 10.3354/cr01142
   Green TR, 2011, J HYDROL, V405, P532, DOI 10.1016/j.jhydrol.2011.05.002
   Guntukula R, 2020, J PUBLIC AFF, V20, DOI 10.1002/pa.2040
   Guo R, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.125332
   Gupta A.K., 2014, MAINSTREAMING CLIMAT, V114
   Karimi V, 2021, ENVIRON DEV SUSTAIN, V23, P5465, DOI 10.1007/s10668-020-00825-8
   Kassie M, 2009, NAT RESOUR FORUM, V33, P189, DOI 10.1111/j.1477-8947.2009.01224.x
   Khanal U, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.124999
   Kimani N.C., 2015, INT J CURR MICROBIOL, V4, P47
   Kumar KSK, 2013, CLIM CHANG ECON, V4, DOI 10.1142/S2010007813500073
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Limantol AM, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2433-9
   Maiti S, 2016, INDIAN J ANIM SCI, V86, P799
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Meldrum G, 2018, ENVIRON DEV SUSTAIN, V20, P703, DOI 10.1007/s10668-016-9906-4
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mkonda MY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081412
   Muench S, 2021, ENVIRON SCI POLICY, V116, P136, DOI 10.1016/j.envsci.2020.10.012
   Mutunga E. J., 2017, Journal of Earth Science & Climatic Change, V8, P389
   Nath AJ, 2018, SCI TOTAL ENVIRON, V624, P908, DOI 10.1016/j.scitotenv.2017.12.199
   Ndungu C. K., 2015, Universal Journal of Environmental Research and Technology, V5, P61
   Ngo CC, 2020, J RISK RES, V23, P424, DOI 10.1080/13669877.2019.1591484
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Nkonya E., 2015, SUSTAINABLE INTENSIF, P75
   Odekunle TO, 2005, THEOR APPL CLIMATOL, V81, P101, DOI 10.1007/s00704-004-0108-x
   Ohlmer B, 1998, SWED J AGR RES, V28, P17
   Ojo TO, 2021, J CLEAN PROD, V310, DOI 10.1016/j.jclepro.2021.127373
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Owusu V, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126154
   Pai DS, 2014, MAUSAM, V65, P1
   Paramesh V, 2021, INDIAN J AGR SCI, V91, P44
   Paramesh V, 2019, ENERGY, V188, DOI 10.1016/j.energy.2019.116101
   Paramesh V, 2018, J CLEAN PROD, V203, P674, DOI 10.1016/j.jclepro.2018.08.263
   Parry M, 1999, GLOBAL ENVIRON CHANG, V9, pS51, DOI 10.1016/S0959-3780(99)00018-7
   Pathak H, 2014, INDIAN J AGR SCI, V84, P671
   Pramanik M, 2022, CLIM DEV, V14, P99, DOI 10.1080/17565529.2021.1889948
   Pramanik M, 2018, CLIM RISK MANAG, V19, P94, DOI 10.1016/j.crm.2017.11.002
   Prasad R, 2014, RANGE MANAG AGROFOR, V35, P157
   Quirog S, 2015, ENVIRON SCI POLICY, V45, P53, DOI 10.1016/j.envsci.2014.09.007
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Reddy KV, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12051023
   Sanogo K., 2016, TURKISH J AGR FOOD S, V4, P291, DOI [10.24925/turjaf.v4i4.291-297.544, DOI 10.24925/TURJAF.V4I4.291-297.544]
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Saravanakumar V., 2015, Impact of climate change on yield of major food crops in Tamil Nadu, India, V91
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shankara M., 2013, INT J FARM SCI, V3, P100
   Shashidahra K.K., 2012, INDIAN RES J EXT ED, V12, P196
   Sima M., 2015, Earth Perspect, V2, P5, DOI [DOI 10.1186/S40322-015-0031-6, 10.1186/s40322-015-0031-6 a, DOI 10.1186/S40322-015-0031-6A]
   Smith WJ, 2014, ENVIRON SCI POLICY, V42, P101, DOI 10.1016/j.envsci.2014.03.007
   Sofoluwe NA, 2011, AFR J AGR RES, V6, P4789
   Srivastava AK, 2009, ATMOS SCI LETT, V10, P249, DOI 10.1002/asl.232
   Sujit Sarkar Sujit Sarkar, 2010, Indian Research Journal of Extension Education, V10, P32
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Teshome Abate Teshome Abate, 2016, Journal of Earth Science & Climatic Change, V7, P377
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Varadan RJ, 2014, INDIAN J TRADIT KNOW, V13, P390
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   Wossen T, 2015, AGR ECON-BLACKWELL, V46, P81, DOI 10.1111/agec.12142
NR 87
TC 8
Z9 8
U1 2
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2022
VL 14
IS 18
AR 11629
DI 10.3390/su141811629
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 4R3OB
UT WOS:000856676400001
OA gold
DA 2025-01-10
ER

PT J
AU Dorst, H
   van der Jagt, A
   Toxopeus, H
   Tozer, L
   Raven, R
   Runhaar, H
AF Dorst, Hade
   van der Jagt, Alexander
   Toxopeus, Helen
   Tozer, Laura
   Raven, Rob
   Runhaar, Hens
TI What?s behind the barriers? Uncovering structural conditions working
   against urban nature-based solutions
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Sustainable cities; Sustainable urban development; Urban governance;
   Urban sustainability transitions; Green infrastructure
ID CLIMATE ADAPTATION; TRANSITIONS; REGIMES; FRAMEWORK; DYNAMICS; INSIGHTS;
   NICHES
AB Nature-based solutions (NBS) are a promising and innovative approach to address multiple sustainability challenges faced by cities. Yet, NBS are not integrated into mainstream urban development practices. Based on a qualitative comparative case study of Germany, Hungary, the Netherlands, Spain, Sweden, and the United Kingdom, this study shows how barriers to mainstreaming urban NBS are shaped by the structural conditions in urban infrastructure regimes, which offers an improved, context-sensitive understanding of why such barriers persist. We identify underlying structural conditions shaping seven key barriers to urban NBS: limited collaborative governance, knowledge, data and awareness challenges, low private sector engagement, competition over urban space, insufficient policy development, implementation and enforcement, insufficient public resources, and challenging citizen engagement. This study also advances an understanding of urban infrastructure regimes as complex, heterogeneous systems, made up of different functional domains that define the space available for sustainability innovations. Importantly, our case comparison reveals that similar barriers to NBS mainstreaming in planning processes are caused by different structural conditions across countries. For example, perceived causes of limited citizen engagement are low environmental awareness in Spain, a lack of resources to support participation in Hungary, and NIMBY-ism in the Netherlands. Our findings stress the importance of moving beyond 'silver bullet'-type approaches to addressing NBS mainstreaming barriers, towards systemic but contextsensitive responses, tailored to specific urban infrastructure regimes. This systematic understanding of barriers and their underlying structural conditions can help both scholars and practitioners identify promising pathways for the mainstreaming of NBS as an urban sustainability innovation.
C1 [Dorst, Hade; Raven, Rob; Runhaar, Hens] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
   [van der Jagt, Alexander] Wageningen Univ & Res, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
   [Toxopeus, Helen] Univ Utrecht, Sch Econ, Kriekenpitpl 21-22, NL-3584 EC Utrecht, Netherlands.
   [Tozer, Laura] Univ Toronto Scarborough, 1265 Mil Trail, Toronto, ON M1C 1A4, Canada.
   [Raven, Rob] Monash Univ, Monash Sustainable Dev Inst, 8 Scen Blvd, Clayton, Vic 3800, Australia.
C3 Utrecht University; Wageningen University & Research; Utrecht
   University; University of Toronto; University Toronto Scarborough;
   Monash University
RP Runhaar, H (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
EM h.m.dorst@uu.nl; sander.vanderjagt@wur.nl; h.s.toxopeus@uu.nl;
   laura.tozer@utoronto.ca; rob.raven@monash.edu; h.a.c.runhaar@uu.nl
RI Runhaar, Hens/L-5395-2013; Raven, Rob/GXG-2362-2022; van der Jagt,
   Alexander/AAW-5556-2021; Raven, Rob/C-3048-2017
OI Dorst, Hade/0009-0001-1508-4441; van der Jagt,
   Alexander/0000-0002-1365-5765; Raven, Rob/0000-0002-6330-0831
FU European Union's Horizon 2020 research and innovation programme
   [730243]; H2020 Societal Challenges Programme [730243] Funding Source:
   H2020 Societal Challenges Programme
FX This research was funded by the European Union's Horizon 2020 research
   and innovation programme under grant agreement No. 730243 and
   participating partners in the NATURVATION research project. We are
   grateful to Harriet Bulkeley, Christiane Gerstetter, McKenna Davis,
   Sandra Naumann, Alexandru Matei, Judit Boros, Andrea Lituma-Sanchez, Ewa
   Iwaszuk, Lisa-Fee Meinecke, Linda Juhasz-Horvath, Syd-ney Kaiser, Rebeka
   Devenyi, and Elisa Terragno Bogliaccini for their invaluable work as
   part of the NATURVATION project on the original working papers that this
   study builds upon.
CR Albert C, 2021, AMBIO, V50, P1446, DOI 10.1007/s13280-020-01365-1
   Albert C, 2019, LANDSCAPE URBAN PLAN, V182, P12, DOI 10.1016/j.landurbplan.2018.10.003
   Albert C, 2017, NATURE, V543, P315, DOI 10.1038/543315b
   [Anonymous], 2017, AMBIO, DOI DOI 10.1007/s13280-016-0800-y
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature -based solutions & re-naturing cities, DOI DOI 10.2777/479582
   Binz C, 2020, ENVIRON INNOV SOC TR, V34, P1, DOI 10.1016/j.eist.2019.11.002
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Deely J, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105108
   Dorst H., 2018, NATURVATION DELIVERA, V5, P1
   Dorst H, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103283
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Egusquiza A, 2019, IOP C SER EARTH ENV, V323, DOI 10.1088/1755-1315/323/1/012081
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fritz M, 2017, THEOR PRACT URB SUST, P307, DOI 10.1007/978-3-319-56091-5_18
   Fuenfschilling L, 2014, RES POLICY, V43, P772, DOI 10.1016/j.respol.2013.10.010
   Geddes A, 2020, RES POLICY, V49, DOI 10.1016/j.respol.2020.103985
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015
   Genus A, 2008, RES POLICY, V37, P1436, DOI 10.1016/j.respol.2008.05.006
   Ghosh B, 2019, ENERGY RES SOC SCI, V51, P82, DOI 10.1016/j.erss.2018.12.001
   Glisczinski D, 2018, J TRANSFORM EDUC, V16, P175, DOI 10.1177/1541344618777367
   Hansen T, 2015, ENVIRON INNOV SOC TR, V17, P92, DOI 10.1016/j.eist.2014.11.001
   Holscher K., 2021, Urban Transformations, V3, P2, DOI [DOI 10.1186/S42854-021-00019-Z, 10.1186/s42854-021-00019-z]
   Holtz G, 2008, TECHNOL FORECAST SOC, V75, P623, DOI 10.1016/j.techfore.2007.02.010
   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
   Kiss B., 2019, International Comparison of Nature-Based Solutions
   Krehl A, 2020, EUR PLAN STUD, V28, P1858, DOI 10.1080/09654313.2019.1699909
   Lafortezza R, 2019, ENVIRON RES, V172, P394, DOI 10.1016/j.envres.2018.12.063
   Lützkendorf T, 2011, BUILD RES INF, V39, P483, DOI 10.1080/09613218.2011.597206
   Maedows D., 1999, LEVERAGE POINTS PLAC
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   Monstadt J, 2009, ENVIRON PLANN A, V41, P1924, DOI 10.1068/a4145
   Nadin V., 2008, DISPTHE PLANNING REV, V1, P35, DOI [10.1080/02513625.2008.10557001, DOI 10.1080/02513625.2008.10557001, DOI 10.1080/02697450701455934]
   Næss P, 2012, ENVIRON INNOV SOC TR, V4, P36, DOI 10.1016/j.eist.2012.07.001
   Papachristos G, 2013, ENVIRON INNOV SOC TR, V7, P53, DOI 10.1016/j.eist.2013.03.002
   Raven R, 2007, ENERG POLICY, V35, P2197, DOI 10.1016/j.enpol.2006.07.005
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rip A., 1998, HUMAN CHOICE CLIMATE, P327, DOI DOI 10.1016/B978-008044910-4.00230-3
   Rode J, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100917
   Sarabi S, 2020, J ENVIRON MANAGE, V270, DOI 10.1016/j.jenvman.2020.110749
   Sarabi SE, 2019, RESOURCES-BASEL, V8, DOI 10.3390/resources8030121
   Schuitmaker TJ, 2012, TECHNOL FORECAST SOC, V79, P1021, DOI 10.1016/j.techfore.2011.11.008
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Smith A, 2007, TECHNOL ANAL STRATEG, V19, P427, DOI 10.1080/09537320701403334
   Smith A, 2012, RES POLICY, V41, P1025, DOI 10.1016/j.respol.2011.12.012
   Stake R.E., 2010, Qualitative research: Studying how things work
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   Uittenbroek CJ, 2014, J WATER CLIM CHANGE, V5, P443, DOI 10.2166/wcc.2014.048
   van der Jagt APN, 2020, ENVIRON INNOV SOC TR, V35, P202, DOI 10.1016/j.eist.2019.09.005
   Van Welie MJ, 2018, TECHNOL FORECAST SOC, V137, P259, DOI 10.1016/j.techfore.2018.07.059
   Wamsler C, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119154
   Wamsler C, 2020, CLIMATIC CHANGE, V158, P235, DOI 10.1007/s10584-019-02557-9
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Wolfram M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020144
NR 60
TC 49
Z9 51
U1 16
U2 74
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD APR
PY 2022
VL 220
AR 104335
DI 10.1016/j.landurbplan.2021.104335
PG 13
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA 1N2ZM
UT WOS:000800529200001
OA Green Published, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Das, SK
   Ahsan, A
   Khan, MHRB
   Tariq, MAUR
   Muttil, N
   Ng, AWM
AF Das, Sushil K.
   Ahsan, Amimul
   Khan, Md. Habibur Rahman Bejoy
   Tariq, Muhammad Atiq Ur Rehman
   Muttil, Nitin
   Ng, Anne W. M.
TI Impacts of Climate Alteration on the Hydrology of the Yarra River
   Catchment, Australia Using GCMs and SWAT Model
SO WATER
LA English
DT Article
DE climate alteration impacts; hydrology; GCMs; SWAT; Yarra River;
   Australia
ID WATER-QUALITY; PHOSPHORUS LOADS; SEDIMENT; FLOW; SYSTEM; TOOL
AB A rigorous evaluation of future hydro-climatic changes is necessary for developing climate adaptation strategies for a catchment. The integration of future climate projections from general circulation models (GCMs) in the simulations of a hydrologic model, such as the Soil and Water Assessment Tool (SWAT), is widely considered as one of the most dependable approaches to assess the impacts of climate alteration on hydrology. The main objective of this study was to assess the potential impacts of climate alteration on the hydrology of the Yarra River catchment in Victoria, Australia, using the SWAT model. The climate projections from five GCMs under two Representative Concentration Pathway (RCP) scenarios-RCP 4.5 and 8.5 for 2030 and 2050, respectively-were incorporated into the calibrated SWAT model for the analysis of future hydrologic behaviour against a baseline period of 1990-2008. The SWAT model performed well in its simulation of total streamflow, baseflow, and runoff, with Nash-Sutcliffe efficiency values of more than 0.75 for monthly calibration and validation. Based on the projections from the GCMs, the future rainfall and temperature are expected to decrease and increase, respectively, with the highest changes projected by the GFDL-ESM2M model under the RCP 8.5 scenario in 2050. These changes correspond to significant increases in annual evapotranspiration (8% to 46%) and decreases in other annual water cycle components, especially surface runoff (79% to 93%). Overall, the future climate projections indicate that the study area will become hotter, with less winter-spring (June to November) rainfall and with more water shortages within the catchment.
C1 [Das, Sushil K.; Tariq, Muhammad Atiq Ur Rehman; Muttil, Nitin] Victoria Univ, Coll Engn & Sci, POB 14428, Melbourne, Vic 8001, Australia.
   [Ahsan, Amimul; Khan, Md. Habibur Rahman Bejoy] Islamic Univ Technol, Dept Civil & Environm Engn, Gazipur 1704, Bangladesh.
   [Ahsan, Amimul] Swinburne Univ Technol, Dept Civil & Construct Engn, Melbourne, Vic 3122, Australia.
   [Tariq, Muhammad Atiq Ur Rehman; Muttil, Nitin] Victoria Univ, Inst Sustainable Ind & Liveable Cities, POB 14428, Melbourne, Vic 8001, Australia.
   [Ng, Anne W. M.] Charles Darwin Univ, Coll Engn Informat Technol & Environm, Ellengowan Dr, Brinkin, NT 0810, Australia.
C3 Victoria University; Swinburne University of Technology; Victoria
   University; Charles Darwin University
RP Muttil, N (corresponding author), Victoria Univ, Coll Engn & Sci, POB 14428, Melbourne, Vic 8001, Australia.; Muttil, N (corresponding author), Victoria Univ, Inst Sustainable Ind & Liveable Cities, POB 14428, Melbourne, Vic 8001, Australia.; Ng, AWM (corresponding author), Charles Darwin Univ, Coll Engn Informat Technol & Environm, Ellengowan Dr, Brinkin, NT 0810, Australia.
EM sushil.das@live.vu.edu.au; ahsan.upm2@gmail.com;
   cee.bejoy@iut-dhaka.edu; atiq.tariq@yahoo.com; nitin.muttil@vu.edu.au;
   anne.ng@cdu.edu.au
RI Ahsan, Amimul/D-1950-2010; Perera, Chris/J-7130-2019; Bejoy Khan, Md.
   Habibur Rahman/AAM-7573-2021; Tariq, Muhammad/ABG-4263-2020; Muttil,
   Nitin/J-6714-2016
OI Tariq, Muhammad Atiq Ur Rehman/0000-0002-0226-7310; Muttil,
   Nitin/0000-0001-7758-8365; Bejoy Khan, Md. Habibur
   Rahman/0000-0002-7175-3507; NG, ANNE/0000-0002-7698-9068; Ahsan,
   Amimul/0000-0002-0015-6123; Das, Sushil Kumar/0000-0002-4864-3940
FU Victoria University
FX The authors wish to acknowledge Victoria University for providing
   support for this study.
CR Abbaspour KC, 2007, MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P1603
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   [Anonymous], 2015, TECH REP
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   ARNOLD JG, 1995, GROUND WATER, V33, P1010, DOI 10.1111/j.1745-6584.1995.tb00046.x
   Borah DK, 2004, T ASAE, V47, P789, DOI [10.13031/2013.16110, 10.13031/2013.15644]
   Boughton W, 2004, ENVIRON MODELL SOFTW, V19, P943, DOI 10.1016/j.envsoft.2003.10.007
   Canadell JG, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27225-4
   Chen QH, 2019, WATER-SUI, V11, DOI 10.3390/w11071398
   Chiew F. H. S., 2002, Mathematical models of small watershed hydrology and applications, P335
   Daloglu I, 2012, ENVIRON SCI TECHNOL, V46, P10660, DOI 10.1021/es302315d
   Das SK, 2013, 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), P2457
   Das S.K., 2013, P MODSIM 2013 20 INT, DOI [10.36334/modsim.2013.H4.das, DOI 10.36334/MODSIM.2013.H4.DAS]
   Ficklin DL, 2009, J HYDROL, V374, P16, DOI 10.1016/j.jhydrol.2009.05.016
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Gan TY, 1997, J HYDROL, V192, P81, DOI 10.1016/S0022-1694(96)03114-9
   Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
   Green CH, 2008, ENVIRON MODELL SOFTW, V23, P422, DOI 10.1016/j.envsoft.2007.06.002
   Hennessy K., 2016, CLIMATE CHANGE IMPAC
   Howe C., 2005, CMIT2005106 CSIRO ME
   Isbell R., 2016, The Australian soil classification
   Kirsch K, 2002, T ASAE, V45, P1757, DOI 10.13031/2013.11427
   Letcher RA., 1999, Review of Techniques to Estimate Catchment Exports
   Li ZY, 2016, EARTH-SCI REV, V163, P94, DOI 10.1016/j.earscirev.2016.10.004
   Marshall E, 2008, CLIMATIC CHANGE, V89, P263, DOI 10.1007/s10584-007-9389-2
   Melbourne Water and EPA Victoria, 2009, BETT BAYS WAT WAT QU
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nguyen HH, 2017, J ENVIRON MANAGE, V202, P1, DOI 10.1016/j.jenvman.2017.07.014
   NORTHCOTE K.H., 1979, FACTUAL KEY RECOGNIT, VFourth
   Parajuli PB, 2016, AGR WATER MANAGE, V168, P112, DOI 10.1016/j.agwat.2016.02.005
   Post D.A., 2012, SPECIAL REPORT
   Potter NJ., 2016, HYDROCLIMATE PROJECT, DOI 10.4225/08/5892224490e71
   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]
   Rajib A, 2017, HYDROL PROCESS, V31, P3645, DOI 10.1002/hyp.11282
   RECKHOW KH, 1994, ECOL MODEL, V72, P1, DOI 10.1016/0304-3800(94)90143-0
   Saha Partha Pratim, 2014, International Journal of Water, V8, P241, DOI 10.1504/IJW.2014.064237
   Samaras AG, 2014, INT J SEDIMENT RES, V29, P304, DOI 10.1016/S1001-6279(14)60046-9
   Shrestha MK, 2017, SCI TOTAL ENVIRON, V590, P186, DOI [10.1016/j.scitotenv.2017.02.197, 10.1016/j.scitote]
   SILO, 2016, CONS CLIM SCEN DATA
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Sunde MG, 2017, HYDROL PROCESS, V31, P1790, DOI 10.1002/hyp.11150
   Tan ML, 2017, ATMOS RES, V189, P1, DOI 10.1016/j.atmosres.2017.01.008
   USDA-ARS U.S. Department of Agriculture-Agricultural Research Service, 1999, SOIL WATER ASSESSMEN
   van Griensven A, 2006, J HYDROL, V324, P10, DOI 10.1016/j.jhydrol.2005.09.008
   van Griensven A., 2005, Sensitivity, auto-calibration, uncertainty
   Vaze J, 2010, AUSTRALAS J WAT RESO, V14, P101, DOI 10.1080/13241583.2011.11465379
   Vervoort R.W., 2007, P 4 INT SWAT C DELFT
   Watson B.M., 2003, P MODSIM2003 INT C M
   Winchell M., 2009, ARCSWAT 2 3 4 INTERF
NR 50
TC 9
Z9 9
U1 1
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD FEB
PY 2022
VL 14
IS 3
AR 445
DI 10.3390/w14030445
PG 16
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA YY1LP
UT WOS:000754555100001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Gibbs, MT
   Newlands, M
AF Gibbs, Mark T.
   Newlands, Maxine
TI Restoration heralds' new management challenges for coral reefs
SO MARINE POLICY
LA English
DT Article
DE Reef restoration; Property rights; Climate adaptation; Coral reefs
ID ECOLOGICAL-SYSTEMS; CLIMATE-CHANGE
AB The allocation and management of spatially-bound property rights is a central policy instrument used in the management of natural resources in high-income, especially western nations. In such nations the establishment of strong property rights regimes is considered to be one of the main factors attributing to the advancement of western nations during the last two centuries. Such rights feature attributes including exclusivity, transferability and enforceability for rights-holders. The design of these packages of rights are tied to specific types of assets or land and sea uses. Therefore, as uses change, the specifics of the package of rights often change in response. The activity of coral reef restoration is expanding rapidly in response to the continued loss of coral cover, health and condition of the world's coral reefs. Therefore by definition, as this activity increases globally the management regimes used to govern coral reefs will in many cases need to adapt to this increasing activity. It is therefore expected that increasing calls to strengthen rights-regimes will begin to occur as many reef restoration activities, despite mostly occurring in low-income nations, are led from or by entities from high-income and mostly western nations who are accustomed to strong rights-based management. However, management approaches in many low-income nations that host coral reefs are often based on more customary and traditional management in-struments. Therefore, communities hosting increased reef restoration activities need to consider very carefully how best to manage these activities as they increase in order to avoid unwanted and unintended consequences of the imposition of governance and management instruments widely used in the western world.
C1 [Gibbs, Mark T.] Australian Inst Marine Sci, PMB 3, Townsville, Qld 4810, Australia.
   [Newlands, Maxine] James Cook Univ, Coll Arts, Sch Social Sci, Soc Educ, Douglas, Qld, Australia.
C3 Australian Institute of Marine Science; James Cook University
RP Gibbs, MT (corresponding author), Australian Inst Marine Sci, PMB 3, Townsville, Qld 4810, Australia.
EM m.gibbs@aims.gov.au
RI Newlands, Maxine/J-4892-2014
OI Newlands, Maxine/0000-0002-1947-5802; Gibbs, Mark/0000-0002-9632-1567
FU Reef Restoration and Adaptation Program - Great Barrier Reef Foundation
FX Both authors are funded by the Reef Restoration and Adaptation Program,
   funded by the Great Barrier Reef Foundation.
CR Angeles L, 2011, KYKLOS, V64, P157, DOI 10.1111/j.1467-6435.2011.00500.x
   [Anonymous], 2011, Reefs at Risk Revisited
   Aronson J, 2017, ANN MO BOT GARD, V102, P188, DOI 10.3417/2017003
   Brander LM, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S2010007812500029
   Bridge TCL, 2013, NAT CLIM CHANGE, V3, P528, DOI 10.1038/nclimate1879
   Cinner JE, 2018, P NATL ACAD SCI USA, V115, pE6116, DOI 10.1073/pnas.1708001115
   Cinner JE, 2009, CURR BIOL, V19, P206, DOI 10.1016/j.cub.2008.11.055
   Edwards AJ, 1999, MAR POLLUT BULL, V37, P474
   Ferrol-Schulte D, 2013, MAR POLICY, V42, P253, DOI 10.1016/j.marpol.2013.03.007
   Fidelman P, 2019, ENVIRON SCI POLICY, V100, P221, DOI 10.1016/j.envsci.2019.04.016
   Gibbs B.L., PLOSONE UNPUB
   Hein MY, 2017, RESTOR ECOL, V25, P873, DOI 10.1111/rec.12580
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Jokiel PL, 2001, OCEANS 2001 MTS/IEEE: AN OCEAN ODYSSEY, VOLS 1-4, CONFERENCE PROCEEDINGS, P313, DOI 10.1109/OCEANS.2001.968744
   Knott C, 2017, MAR POLICY, V80, P10, DOI 10.1016/j.marpol.2016.10.022
   Malpezzi S., 2005, J Real Estate Lit, V13, P143, DOI DOI 10.1080/10835547.2005.12090156
   Newton K, 2007, CURR BIOL, V17, P655, DOI 10.1016/j.cub.2007.02.054
   Reed JR, 2020, MAR POLICY, V119, DOI 10.1016/j.marpol.2020.104089
   Rinkevich B, 2005, ENVIRON SCI TECHNOL, V39, P4333, DOI 10.1021/es0482583
   Rinkevich B, 2014, CURR OPIN ENV SUST, V7, P28, DOI 10.1016/j.cosust.2013.11.018
NR 22
TC 2
Z9 2
U1 2
U2 23
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD FEB
PY 2022
VL 136
AR 104911
DI 10.1016/j.marpol.2021.104911
EA DEC 2021
PG 3
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA XY0JN
UT WOS:000736670300010
DA 2025-01-10
ER

PT J
AU Li, LY
   Van Eetvelde, V
   Cheng, X
   Uyttenhove, P
AF Li, Luyuan
   Van Eetvelde, Veerle
   Cheng, Xin
   Uyttenhove, Pieter
TI Assessing stormwater runoff reduction capacity of existing green
   infrastructure in the city of Ghent
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE Urban surface water floods; landscape pattern; climate adaptation;
   ecosystem services
ID LANDSCAPE PATTERN; MANAGEMENT; CATCHMENT; NETWORK; METRICS; IMPACT;
   FLOOD; RISK
AB Stormwater runoff is the major source of surface flooding in urban communities. Urban surface water flooding is one of the most worrisome issues, due to their negative impacts on public health. Green infrastructure has developed as an alternative approach to cope with urban surface water flooding. The runoff reduction capacity of green infrastructure needs to be elucidated to better support green infrastructure planning. There are some models to assess the runoff reduction capacity of the landscape. However, these models do not consider landscape patterns and usually need large time, data, making it less accessible to urban planners and decision-makers. A group of studies have indicated that landscape structures are significantly affecting the surface runoff. Therefore, an empirical model was adapted in this study, including two parameters of runoff coefficient and landscape metrics, to map the runoff reduction capacity of green infrastructure in the city of Ghent. The results show that grasslands contribute most to stormwater runoff reduction of 118.3 million and forests controlled the lowest runoff of 44.8 million . Agriculture lands with the highest reduction amount per square kilometer of 3.51 million /, and Forests with the lowest of 1.92 million /. The spatial distribution of runoff reduction capacity of green infrastructure indicates the high capacity green infrastructure is mainly concentrated in the southwest and northeast suburban areas. The core areas scattered with less green infrastructure and low runoff reduction capacity. The results provide a better understanding of spatial characteristics and stormwater runoff reduction capacity of existing green infrastructure in Ghent.
C1 [Li, Luyuan; Cheng, Xin; Uyttenhove, Pieter] Univ Ghent, Dept Architecture & Urban Planning, Ghent, Belgium.
   [Van Eetvelde, Veerle] Univ Ghent, Dept Geog, Ghent, Belgium.
C3 Ghent University; Ghent University
RP Li, LY (corresponding author), Univ Ghent, Dept Architecture & Urban Planning, Ghent, Belgium.
EM luyuan.li@ugent.be
RI Van Eetvelde, Veerle/AAK-1324-2020
OI Van Eetvelde, Veerle/0000-0003-2382-6182
FU China Scholarship Council
FX This work was supported by the China Scholarship Council.
CR [Anonymous], 2015, STESASERA366
   Antrop M., 2017, LANDSCAPE PERSPECTIV
   Avola C, 2016, PROCEEDINGS OF THE ASME INTERNAL COMBUSTION ENGINE FALL TECHNICAL CONFERENCE, 2016
   Bin LL, 2018, J HYDROL, V566, P546, DOI 10.1016/j.jhydrol.2018.09.045
   Boongaling CGK, 2018, LAND USE POLICY, V72, P116, DOI 10.1016/j.landusepol.2017.12.042
   Broekx S, 2011, NAT HAZARDS, V57, P245, DOI 10.1007/s11069-010-9610-x
   Calderón-Contreras R, 2017, ECOSYST SERV, V23, P127, DOI 10.1016/j.ecoser.2016.12.004
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Deckers P, 2009, GEOTECHNOLOGIES ENV, V2, DOI [10.1007/978-90-481-2238-7, DOI 10.1007/978-90-481-2238-7]
   Di Baldassarre G, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045467
   Du SH, 2016, REMOTE SENS ENVIRON, V178, P84, DOI 10.1016/j.rse.2016.02.063
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Gao J, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105579
   Geopunt, 2012, LAND COV DAT
   Ghent Administration, 2016, WORK CLIM ROB CIT GH
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Jaafar K, 2015, 2015 IEEE 6TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC), P158, DOI 10.1109/ICSGRC.2015.7412484
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Kim H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020134
   Kim HW, 2016, APPL GEOGR, V77, P72, DOI 10.1016/j.apgeog.2016.10.008
   Lanzas M, 2019, SCI TOTAL ENVIRON, V651, P541, DOI 10.1016/j.scitotenv.2018.09.164
   [刘娜 Liu Na], 2012, [生态学报, Acta Ecologica Sinica], V32, P4641
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Liu YL, 2016, ECOL INDIC, V64, P9, DOI 10.1016/j.ecolind.2015.12.021
   Luan B, 2019, J CLEAN PROD, V223, P680, DOI 10.1016/j.jclepro.2019.03.028
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McGarigal K., 2015, FRAGSTATS, P1, DOI [10.1016/S0022-3913(12)00047-9, DOI 10.1016/S0022-3913(12)00047-9]
   Peng Y, 2019, ECOL INDIC, V103, P173, DOI 10.1016/j.ecolind.2019.04.007
   Pitt SM, 2007, LEARNING LESSONS 200, P160, DOI [10.1094/PDIS-91-4-0467B, DOI 10.1094/PDIS-91-4-0467B]
   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]
   Ramos MH, 2005, J HYDROL, V315, P295, DOI 10.1016/j.jhydrol.2005.04.007
   Santos J, 2006, CLIM RES, V31, P3, DOI 10.3354/cr031003
   Vanuytrecht E, 2014, LANDSCAPE URBAN PLAN, V122, P68, DOI 10.1016/j.landurbplan.2013.11.001
   Vinet F, 2008, APPL GEOGR, V28, P323, DOI 10.1016/j.apgeog.2008.02.007
   Wang YF, 2014, BUILD ENVIRON, V77, P88, DOI 10.1016/j.buildenv.2014.03.021
   Yang GY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101932
   Yin J, 2016, J HYDROL, V537, P138, DOI 10.1016/j.jhydrol.2016.03.037
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Zellner M, 2016, COMPUT ENVIRON URBAN, V59, P116, DOI 10.1016/j.compenvurbsys.2016.04.008
   Zhang B, 2015, LANDSCAPE URBAN PLAN, V140, P8, DOI 10.1016/j.landurbplan.2015.03.014
NR 41
TC 25
Z9 29
U1 8
U2 92
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1350-4509
EI 1745-2627
J9 INT J SUST DEV WORLD
JI Int. J. Sustain. Dev. World Ecol.
PD NOV 16
PY 2020
VL 27
IS 8
BP 749
EP 761
DI 10.1080/13504509.2020.1739166
EA MAR 2020
PG 13
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA NX2KD
UT WOS:000520351700001
DA 2025-01-10
ER

PT J
AU Rozance, MA
   Denton, A
   Matsler, AM
   Grabowski, Z
   Mayhugh, W
AF Rozance, Mary Ann
   Denton, Ashlie
   Matsler, A. Marissa
   Grabowski, Zbigniew
   Mayhugh, Wendy
TI Examining the scalar knowledge politics of risk within coastal sea level
   rise adaptation planning knowledge systems
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Knowledge systems; Climate adaptation; Risk; Planning; Politics of scale
ID CLIMATE-CHANGE; ENVIRONMENTAL GOVERNANCE; HUMAN-GEOGRAPHY; ECOLOGY;
   VULNERABILITY; MANAGEMENT; COMMUNITY; SCIENCE; CONTEXT; ISSUES
AB As cities around the world experience rapid sea level rise (SLR), institutions and actors classify and measure SLR "risks" through discourse and specifying practices for adaptation. These risk, discourses, and practices occur at multiple scales that are embedded within one another and draw their significance from cross-scalar connections; from global estimates of ocean density and emission scenarios, local design criteria for flood management, networks of tidal gauges, and individual and collective experiences of loss and change. Thus social actors responding to the complex physical challenges posed by climate change across space and time must deal with an inherent politics of building shared understanding and agreeing on (or not) desirable courses of action. These dynamics produce 'scalar politics,' i.e. strategies for defining and managing perceived risks at specific scales, resulting in more or less equitable and effective responses to the uneven consequences of SLR. To highlight the scalar politics of knowledge systems in adaptation planning, we present findings from two case studies of the Pacific Islands and coastal areas of Florida, USA. Drawing on our findings, we propose the concept 'scalar knowledge politics of risk.' As knowledge claims flow between global, regional, and local decision-making spaces, we identify five scales at which knowledge systems experience friction: 1) construction of the global climate; 2) regional downscaling of climate impacts; 3) local definition of risks; 4) transformation of on-the-ground social-ecological-technical systems and infrastructures; and, 5) evaluation of interventions. Through our case study investigation of the scalar politics of SLR adaptation, we hope to help illuminate and inform strategies to overcome long-standing barriers to effective and inclusive urban adaptation.
C1 [Rozance, Mary Ann] Univ Washington, Climate Impacts Grp, Seattle, WA 98195 USA.
   [Denton, Ashlie] Portland State Univ, Coll Urban & Publ Affairs, Portland, OR 97207 USA.
   [Matsler, A. Marissa; Grabowski, Zbigniew] Cary Inst Ecosyst Studies, Millbrook, NY USA.
   [Grabowski, Zbigniew; Mayhugh, Wendy] Portland State Univ, Dept Geog, Portland, OR 97207 USA.
   [Grabowski, Zbigniew] New Sch, Urban Syst Lab, New York, NY USA.
C3 University of Washington; University of Washington Seattle; Portland
   State University; Cary Institute of Ecosystem Studies; Portland State
   University; The New School
RP Rozance, MA (corresponding author), Univ Washington, POB 355674, Seattle, WA 98195 USA.
EM rozance@uw.edu
RI GRABOWSKI, ZBIGNIEW/AAH-4566-2020; Matsler, Marissa/AAU-9436-2020
OI Matsler, Marissa/0000-0003-3294-1991; Denton, Ashlie/0009-0009-1104-5339
FU National Science Foundation IGERT [0966376]
FX This material is based upon work supported by National Science
   Foundation IGERT Grant #0966376: "Sustaining Ecosystem Services to
   Support Rapidly Urbanizing Areas."
CR Abers R., 2013, PRACTICAL AUTHORITY, DOI [10.1093/acprof:oso/9780199985265.001.0001, DOI 10.1093/ACPROF:OSO/9780199985265.001.0001]
   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]
   Agrawal A, 1999, WORLD DEV, V27, P629, DOI 10.1016/S0305-750X(98)00161-2
   Anderson B., 2006, IMAGINED COMMUNITIES
   [Anonymous], MAPP IN UNC
   Atteridge A.N. Canales., 2017, Climate finance in the Pacific: An overview of flows to the region's Small Island Developing States
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Beck S, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.547
   Bohensky EL, 2011, ECOL SOC, V16, DOI 10.5751/ES-04342-160406
   Braun B, 2006, PROG HUM GEOG, V30, P644, DOI 10.1177/0309132506070180
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Campbell J., 1997, Proceedings of the VIII Pacific Science Inter-Congress, United Nations Department for Humanitarian Affairs, Suva, P53
   Capra F., 1996, WEB LIFE NEW SYNTHES
   Cash DW, 2006, ECOL SOC, V11
   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
   Connolly WE, 2013, MILLENNIUM-J INT ST, V41, P399, DOI 10.1177/0305829813486849
   Coole D., 2010, New Materialisms: Ontology, Agency, and Politics, P1, DOI 10.1215/9780822392996
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Denton A, 2017, GLOB ENV CHANG A, V43
   Denton A, 2018, THESIS
   Dovers SR, 1996, BIODIVERS CONSERV, V5, P1143, DOI 10.1007/BF00051569
   Edwards PN, 2001, POLIT SCI ENVIRONM, P31
   Fawn R, 2009, REV INT STUD, V35, P5, DOI 10.1017/S0260210509008419
   Finewood MH, 2016, ANTIPODE, V48, P1000, DOI 10.1111/anti.12238
   Folke C, 2007, ECOL SOC, V12
   Grabowski ZJ, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000383
   Graham S, 2001, SPLINTERING URBANISM, DOI DOI 10.4324/9780203452202
   Gross M., 2010, Ignorance and surprise: Science, society, and ecological design
   Gruby RL, 2013, ENVIRON PLANN A, V45, P2046, DOI 10.1068/a45420
   Grunwald Michael., 2006, The Swamp: the Everglades, Florida, and the Politics of Paradise
   Hansen JE, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/2/024002
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hine AC., 2016, Sea Level Rise in Florida: Science, Impacts, and Options
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Hulme Mike., 2013, Future directions for scientific advice in Whitehall, P142, DOI DOI 10.13140/RG.2.1.4256.6563
   Jasanoff S., 2004, Earthly politics: Local and global in environmental governance
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Keener V.W., 2012, CLIMATE CHANGE PACIF
   Kelman I, 2014, GEOGR J, V180, P120, DOI 10.1111/geoj.12019
   Kettle NP, 2014, ENVIRON SCI POLICY, V44, P279, DOI 10.1016/j.envsci.2014.08.013
   Kurtz HE, 2003, POLIT GEOGR, V22, P887, DOI 10.1016/j.polgeo.2003.09.001
   Latour B., 1991, We Have Never Been Modern
   Lejano R, 2013, AM COMP ENVIRON POLI, P1
   MacKinnon D, 2011, PROG HUM GEOG, V35, P21, DOI 10.1177/0309132510367841
   Mahony M, 2018, PROG HUM GEOG, V42, P395, DOI 10.1177/0309132516681485
   Mahony M, 2014, SOC STUD SCI, V44, P109, DOI 10.1177/0306312713501407
   Mandelbrot B.B., 1983, FRACTAL GEOMETRY NAT, V173, P51
   Manuel-Navarrete D, 2015, ECOL SOC, V20, DOI 10.5751/ES-07720-200326
   Marston SA, 2005, T I BRIT GEOGR, V30, P416, DOI 10.1111/j.1475-5661.2005.00180.x
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   Melchior P, 1983, ORG PHOTONICS PHOTOV
   Miller C., 2004, STATES OF KNOWLEDGE
   Miller Clark A., 2018, Designing Knowledge. The Rightful Place of Science
   Molle F, 2009, GEOFORUM, V40, P484, DOI 10.1016/j.geoforum.2009.03.004
   Muñoz-Erickson TA, 2014, ENVIRON SCI POLICY, V37, P182, DOI 10.1016/j.envsci.2013.09.014
   Murphy JT, 2015, ENVIRON INNOV SOC TR, V17, P73, DOI 10.1016/j.eist.2015.03.002
   Nicholls RJ, 1998, CLIMATE RES, V11, P5, DOI 10.3354/cr011005
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Pritchard SaraB., 2011, CONFLUENCE NATURE TE
   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]
   Purcell M., 2005, Progress in Development Studies, V5, P279, DOI 10.1191/1464993405ps122oa
   Rogers P., 2003, EFFECTIVE WATER GOVE
   Rozance M. A, 2019, THESIS
   Short J.F., 1992, Organizations, uncertainties, and risk
   Sievanen L, 2013, GLOBAL ENVIRON CHANG, V23, P206, DOI 10.1016/j.gloenvcha.2012.10.004
   Southeast Florida Regional Climate Change Compact Inundation Mapping and Vulnerability Assessment Work Group, 2012, AN VULN SE FLOR SEA
   Southeast Florida Regional Climate Change Compact Sea Level Rise Work Group, 2015, UN SEA LEV RIS PROJ
   Spencer T, 2016, GLOBAL PLANET CHANGE, V139, P15, DOI 10.1016/j.gloplacha.2015.12.018
   Sweet W.V., 2014, NOAA Tech. Rep. NOS CO-OPS 073, P66
   Sweet W. V., 2017, NOSCOOPS083 NOAA
   Tamisiea ME, 2011, OCEANOGRAPHY, V24, P24, DOI 10.5670/oceanog.2011.25
   Wdowinski S, 2016, OCEAN COAST MANAGE, V126, P1, DOI 10.1016/j.ocecoaman.2016.03.002
   Wildaysky A, 1988, SEARCHING SAFETY
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Wynne B., 2003, Misunderstanding science: the public reconstruction of science and technology
   Yanagi T, 1999, COASTAL OCEANOGRAPHY
NR 81
TC 10
Z9 11
U1 0
U2 27
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 2019
VL 99
BP 105
EP 114
DI 10.1016/j.envsci.2019.05.024
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IH4YV
UT WOS:000474498900012
OA Bronze
DA 2025-01-10
ER

PT J
AU Gull, BA
   Persson, T
   Fedorkov, A
   Mullin, TJ
AF Gull, Bengt Andersson
   Persson, Torgny
   Fedorkov, Aleksey
   Mullin, Tim J.
TI Longitudinal differences in Scots pine shoot elongation
SO SILVA FENNICA
LA English
DT Article
DE Pinus sylvestris; shoot phenology; heritability of phenological traits;
   growth onset; growth cessation; climate change; adaptation
ID COLD-HARDINESS; FROST HARDINESS; CLIMATE-CHANGE; SYLVESTRIS L;
   ADAPTATION; TEMPERATURE; CONTORTA; TRAITS; DAMAGE
AB Phenology can have a profound effect on growth and climatic adaptability of long-lived, northern tree species such as Scots pine (Pinus sylvestris L.), where the onset of growth in the spring is triggered mainly by accumulated heat, while cessation of growth is related to the joint effect of photoperiod and temperature. In this study, the objectives were: (1) to compare shoot phonology of genetic material from Scandinavia (maritime climate origin) and northern Russia (continental climate origin) sources, under field conditions in both Scandinavia and Russia (maritime and continental growth conditions); and (2) to estimate the heritabilities of phenological parameters. The material used was part of a larger provenance test series involving Scots pine populations and open-pollinated plus-tree families from Russia, Sweden and Finland. Terminal shoot elongation was measured on multiple occasions during the seventh growing season from seed at a trial near Backsjon (Sweden) and Syktyvkar (northern Russia). We calculated the regression of relative shoot elongation over accumulated heat stun above +5 degrees C using an exponential expression. Seedlings of Swedish and Russian provenance had similar heat-sum requirements for growth onset and cessation in both trials. More northern provenances started onset and cessation at a lower temperature sum, but heat accumulation requirements for onset were not fixed. Scots pine may suffer from spring frost due to earlier growth onset in a warming climate. Variation and heritability of phenological traits show potential to adapt Scots pine to new climate conditions by breeding.
C1 [Gull, Bengt Andersson; Persson, Torgny; Mullin, Tim J.] Swedish Forestry Res Inst Skogforsk, Box 3, SE-91821 Savar, Sweden.
   [Fedorkov, Aleksey] Russian Acad Sci IB Komi SC UB RAS, Inst Biol, Komi Sci Ctr, Ural Branch, Kommunisticheskaya St 28, Syktyvkar 167982, Russia.
C3 Skogforsk; Russian Academy of Sciences; Komi Science Centre of the Ural
   Branch of the Russian Academy of Sciences; Institute of Biology, Komi
   Scientific Centre, Ural Branch RAS
RP Mullin, TJ (corresponding author), Swedish Forestry Res Inst Skogforsk, Box 3, SE-91821 Savar, Sweden.
EM tim.mullin@skogforsk.se
RI Mullin, Tim/Q-9107-2019; Fedorkov, Aleksey/C-8811-2009
OI Fedorkov, Aleksey/0000-0001-7800-7534
FU TC4F (Trees and Crops for Future, Sweden); European Community's Seventh
   Framework Programme (FP7/2007-2013) [211868]; Foreningen
   Skogstradsforadling (The Swedish Tree Breeding Association)
FX This work was supported by TC4F (Trees and Crops for Future, Sweden);
   the European Community's Seventh Framework Programme (FP7/2007-2013)
   under grant agreement no 211868 (Project Noveltree); and Foreningen
   Skogstradsforadling (The Swedish Tree Breeding Association). The authors
   are grateful for the helpful reviews provided by two referees that
   greatly improved the manuscript.
CR Aitken SN, 2001, TREE PHYSIOL SER, V1, P23
   Andersson B, 2004, SILVAE GENET, V53, P76, DOI 10.1515/sg-2004-0014
   Beuker E, 1998, FOREST ECOL MANAG, V107, P87, DOI 10.1016/S0378-1127(97)00344-7
   Beuker E., 1997, IUFRO World Series, V6, P103
   BEUKER E, 1994, TREE PHYSIOL, V14, P961, DOI 10.1093/treephys/14.7-8-9.961
   BORATYNSKI A, 1991, P19
   Chuine I, 2000, J THEOR BIOL, V207, P337, DOI 10.1006/jtbi.2000.2178
   Chuine I, 2006, CAN J FOREST RES, V36, P1059, DOI 10.1139/X06-005
   Gilmore A.R., 2009, Asreml User Guide Release 3.0
   Halle F., 1978, TROPICAL TREES FORES, DOI DOI 10.1007/978-3-642-81190-6
   Hannerz M, 2002, FOREST ECOL MANAG, V160, P11, DOI 10.1016/S0378-1127(01)00467-4
   Hanninen H., 1993, Silva Fennica, V27, P251
   Hanninen H, 2016, BIOMETEOR SRS, P1, DOI 10.1007/978-94-017-7549-6
   HANNINEN H, 1991, PLANT CELL ENVIRON, V14, P449, DOI 10.1111/j.1365-3040.1991.tb01514.x
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Kjellström E, 2018, EARTH SYST DYNAM, V9, P459, DOI 10.5194/esd-9-459-2018
   Lindgren D., 1997, IUFRO World Series, V6, P73
   Little EL., 1969, SUBDIVISIONS GENUS P
   Lockwood J.G., 1985, WORLD CLIMATIC SYSTE
   Matyas C., 1997, IUFRO World Series, V6, P109
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   Mullin T. J., 2011, Genetics, genomics and breeding of conifers, P40
   Nilsson JE, 2001, SCAND J FOREST RES, V16, P7, DOI 10.1080/028275801300004361
   Notivol E, 2007, CAN J FOREST RES, V37, P540, DOI 10.1139/X06-243
   Novakovskiy A.B., 2014, Data Science Journal, V13, P57, DOI [10.2481/dsj.IFPDA-10, DOI 10.2481/DSJ.IFPDA-10]
   Persson T., 2013, Best practice for tree breeding in Europe, P49
   Persson T, 2010, SILVA FENN, V44, P255, DOI 10.14214/sf.152
   Repo T, 2001, TREE PHYSIOL SER, V1, P463
   Sarvas R., 1972, Metsantutkimuslaitoksen Julkaisuja, V76
   *SAS, 2001, SAS SYST WIND VERS 8
   Savolainen O., 2007, EUFORGEN Climate Change and Forest Genetic Diversity: implications for sustainable forest management in Europe, Paris, France, 15-16 March 2006, P19
   SMHI, 2018, OPPN DAT MET OBS
   SUNDBLAD LG, 1995, SCAND J FOREST RES, V10, P22, DOI 10.1080/02827589509382862
   Warwell MV, 2018, J EVOLUTION BIOL, V31, P1284, DOI 10.1111/jeb.13301
NR 34
TC 8
Z9 9
U1 0
U2 9
PU FINNISH SOC FOREST SCIENCE-NATURAL RESOURCES INST FINLAND
PI VANTAA
PA PO BOX 18, FI-01301 VANTAA, FINLAND
SN 0037-5330
EI 2242-4075
J9 SILVA FENN
JI Silva. Fenn.
PY 2018
VL 52
IS 5
AR 10040
DI 10.14214/sf.10040
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA HI3CQ
UT WOS:000456324600008
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Thitanuwat, B
   Polprasert, C
   Englande, AJ
AF Thitanuwat, Bussarakam
   Polprasert, Chongchin
   Englande, Andrew J., Jr.
TI Green residues from Bangkok green space for renewable energy recovery,
   phosphorus recycling and greenhouse gases emission reduction
SO WASTE MANAGEMENT
LA English
DT Article
DE Greenhouse gases; Green residues; Phosphorus recycling; Renewable
   energy; Thailand; Urban green space
ID MUNICIPAL SOLID-WASTE; NET PRIMARY PRODUCTIVITY; LIFE-CYCLE ASSESSMENT;
   TO-ENERGY; CLIMATE-ADAPTATION; PERSONAL SAFETY; SEWAGE-SLUDGE; GHG
   EMISSIONS; URBAN; BIOMASS
AB Effective ways to integrate human life quality, environmental pollution mitigation and efficient waste management strategies are becoming a crisis challenge for sustainable urban development. The aims of this study are: (1) to evaluate and recommend an optimum Urban Green Space (UGS) area for the Bangkok Metropolitan Administration (BMA); and (2) to quantify potential renewable resources including electricity generation and potential nutrient recovery from generated ash. Green House Gases (GHGs) emissions from the management of Green Residues (GR) produced in a recommended UGS expansion are estimated and compared with those from the existing BMA waste management practice. Results obtained from this study indicate that an increase in UGS from its current 2.02% to 22.4% of the BMA urban area is recommended. This optimum value is primarily due to the area needed as living space for its population. At this scale, GR produced of about 334 kt.y(-1) may be used to generate electricity at the rate of 206 GWh.y(-1) by employing incineration technology. Additionally, instead of going to landfill, phosphorus (P) contained in the ash of 1077 t P.y(-1) could be recovered to produce P fertilizer to be recycled for agricultural cultivation. Income earned from selling these products is found to offset all of the operational cost of the proposed GR management methodology itself plus 7% of the cost of BMA's Municipal Solid Waste (MSW) operations. About 70% of the current GHGs emission may be reduced based on incineration simulation. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Thitanuwat, Bussarakam; Polprasert, Chongchin] Mahidol Univ, Fac Publ Hlth, Dept Sanit Engn, Rajvithee Rd, Bangkok 10400, Thailand.
   [Thitanuwat, Bussarakam; Polprasert, Chongchin] Ctr Excellence Environm Hlth & Toxicol, Bangkok 10400, Thailand.
   [Englande, Andrew J., Jr.] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Global Environm Hlth Sci, New Orleans, LA 70112 USA.
C3 Mahidol University; Tulane University
RP Polprasert, C (corresponding author), Mahidol Univ, Fac Publ Hlth, Dept Sanit Engn, Rajvithee Rd, Bangkok 10400, Thailand.
EM b.thitanuwat@gmail.com; chongchin.pol@mahidol.ac.th; aenglan@tulane.edu
FU Mahidol University - Thailand [0059/2556]; Thailand Research Fund
   through the Royal Golden Jubilee Ph.D. Scholarship Program
   [PHD/0094/2553]
FX This work is part of a 2013 research project, "Modeling of phosphorus
   release from urban sewage and refuse," under the research plan
   "Potential recovery and recycling of phosphorus from urban wastes to
   agricultural plantations in Thailand" supported by Mahidol University -
   Thailand (Grant No. 0059/2556). The authors are very grateful to the
   Thailand Research Fund for the financial support given to Bussarakam
   Thitanuwat through the Royal Golden Jubilee Ph.D. Scholarship Program
   (Grant No. PHD/0094/2553). Data provision and assistance from anonymous
   officers at the BMA's Department of Environment are also greatly
   appreciated.
CR [Anonymous], AGR FOREST METEOROLO
   Aydin MBS, 2012, URBAN FOR URBAN GREE, V11, P87, DOI 10.1016/j.ufug.2011.09.008
   BOP, 2013, WORLD CIT CULT REP, P232
   Balcazar JGC, 2013, ENERGY, V55, P728, DOI 10.1016/j.energy.2013.02.003
   Chaya W, 2007, J CLEAN PROD, V15, P1463, DOI 10.1016/j.jclepro.2006.03.008
   Cherubini F, 2009, ENERGY, V34, P2116, DOI 10.1016/j.energy.2008.08.023
   Cordell D, 2009, GLOBAL ENVIRON CHANG, V19, P292, DOI 10.1016/j.gloenvcha.2008.10.009
   Damgaard A, 2010, WASTE MANAGE, V30, P1244, DOI 10.1016/j.wasman.2010.03.025
   Dhakal S, 2010, CURR OPIN ENV SUST, V2, P277, DOI 10.1016/j.cosust.2010.05.007
   DOAE, 2014, BANGK ZON
   DOE, 2013, ANN RES CONS BUDG MU
   DOE, 2013, BANGK STAT ENV 2006
   Dong J, 2014, APPL ENERG, V114, P400, DOI 10.1016/j.apenergy.2013.09.037
   Emmanuel R, 2015, LANDSCAPE URBAN PLAN, V138, P71, DOI 10.1016/j.landurbplan.2015.02.012
   Feng X, 2007, J ENVIRON MANAGE, V85, P563, DOI 10.1016/j.jenvman.2006.09.021
   Friedrich E, 2013, WASTE MANAGE, V33, P1013, DOI 10.1016/j.wasman.2012.12.011
   Govindarajulu D, 2014, URBAN CLIM, V10, P35, DOI 10.1016/j.uclim.2014.09.006
   Grahn P, 2010, LANDSCAPE URBAN PLAN, V94, P264, DOI 10.1016/j.landurbplan.2009.10.012
   Havukainen J, 2016, WASTE MANAGE, V49, P221, DOI 10.1016/j.wasman.2016.01.020
   Hla SS, 2015, WASTE MANAGE, V41, P12, DOI 10.1016/j.wasman.2015.03.039
   Hua SS, 2015, WATER RES, V85, P31, DOI 10.1016/j.watres.2015.08.007
   Huang Y, 2011, APPL ENERG, V88, P947, DOI 10.1016/j.apenergy.2010.08.011
   IPCC, 2006, IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Agriculture, Forestryand Other Land Use, V4
   James P, 2009, URBAN FOR URBAN GREE, V8, P65, DOI 10.1016/j.ufug.2009.02.001
   Jansson M, 2013, URBAN FOR URBAN GREE, V12, P127, DOI 10.1016/j.ufug.2013.01.005
   Jeswani HK, 2016, WASTE MANAGE, V50, P346, DOI 10.1016/j.wasman.2016.02.010
   Jim CY, 2015, LANDSCAPE URBAN PLAN, V138, P54, DOI 10.1016/j.landurbplan.2015.02.014
   Kabisch N, 2013, LANDSCAPE URBAN PLAN, V110, P113, DOI 10.1016/j.landurbplan.2012.10.017
   Kalmykova Y, 2013, WASTE MANAGE, V33, P1403, DOI 10.1016/j.wasman.2013.01.040
   Kira T., 2013, USITC PUBL
   Klemm W, 2015, LANDSCAPE URBAN PLAN, V138, P87, DOI 10.1016/j.landurbplan.2015.02.009
   Kumar S, 2016, APPL ENERG, V163, P63, DOI 10.1016/j.apenergy.2015.11.019
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Kuo Frances E., 2003, Journal of Arboriculture, V29, P148
   Kwon PS, 2013, ENERGY, V63, P86, DOI 10.1016/j.energy.2013.10.005
   Li K, 2015, RENEW SUST ENERG REV, V52, P1107, DOI 10.1016/j.rser.2015.07.185
   Maruthaveeran S, 2014, URBAN FOR URBAN GREE, V13, P1, DOI 10.1016/j.ufug.2013.11.006
   Masters G.M., 1998, INTRO ENV ENG SCI
   Masuda N., 2003, PARK GREENERY SPACE
   Mavrotas G, 2013, WASTE MANAGE, V33, P1934, DOI 10.1016/j.wasman.2013.04.012
   MEA, 2015, EL SELL PRIC VER SMA
   Monster JG, 2014, WASTE MANAGE, V34, P1416, DOI 10.1016/j.wasman.2014.03.025
   Münster M, 2011, ENERGY, V36, P1612, DOI 10.1016/j.energy.2010.12.070
   Murphy F, 2014, APPL ENERG, V116, P1, DOI 10.1016/j.apenergy.2013.11.041
   Novak P, 2015, ENERG BUILDINGS, V98, P27, DOI 10.1016/j.enbuild.2014.10.085
   Patthanaissaranukool W, 2013, APPL ENERG, V102, P710, DOI 10.1016/j.apenergy.2012.08.023
   Perbangkhem T, 2010, BIORESOURCE TECHNOL, V101, P833, DOI 10.1016/j.biortech.2009.08.062
   Peter, 2015, NET PRIM PROD DIFF E
   Pirotta FJC, 2013, ENERGY, V49, P1, DOI 10.1016/j.energy.2012.10.049
   PJT, 2013, KHEL MUNICIPAL SOLID
   Polprasert C, 2015, ENERGY, V88, P610, DOI 10.1016/j.energy.2015.05.108
   Porteous A, 2001, APPL ENERG, V70, P157, DOI 10.1016/S0306-2619(01)00021-6
   PublicPark, 2015, MON SYST GREEN SPAC
   Roy M, 2009, HABITAT INT, V33, P276, DOI 10.1016/j.habitatint.2008.10.022
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   SCHROEDER HW, 1984, J LEISURE RES, V16, P178, DOI 10.1080/00222216.1984.11969584
   SED, 2013, STAT PROF BMA 2008 2
   Sevigné-Itoiz E, 2015, WASTE MANAGE, V46, P557, DOI 10.1016/j.wasman.2015.08.007
   Shi Y, 2013, ENERG POLICY, V62, P410, DOI 10.1016/j.enpol.2013.07.126
   Shi Y, 2013, RENEW SUST ENERG REV, V22, P432, DOI 10.1016/j.rser.2013.02.003
   Singhabhandhu A, 2010, ENERGY, V35, P2544, DOI 10.1016/j.energy.2010.03.001
   [Solomon S. IPCC. IPCC.], 2007, Intergovernmental Panel on Climate Change, V4, P213
   Somplák R, 2013, APPL THERM ENG, V61, P106, DOI 10.1016/j.applthermaleng.2013.04.003
   Strohbach MW, 2012, LANDSCAPE URBAN PLAN, V104, P220, DOI 10.1016/j.landurbplan.2011.10.013
   Tabata T, 2012, ENERGY, V45, P944, DOI 10.1016/j.energy.2012.06.064
   Tan ST, 2014, APPL ENERG, V136, P797, DOI 10.1016/j.apenergy.2014.06.003
   Tan ZX, 2011, RENEW SUST ENERG REV, V15, P3588, DOI 10.1016/j.rser.2011.05.016
   TGO, 2011, EST GUID CARB FOOTPR
   Thitanuwat B, 2016, SCI TOTAL ENVIRON, V542, P1106, DOI 10.1016/j.scitotenv.2015.09.065
   Thompson CW, 2012, LANDSCAPE URBAN PLAN, V105, P221, DOI 10.1016/j.landurbplan.2011.12.015
   Tian GJ, 2014, ENVIRON POLLUT, V184, P320, DOI 10.1016/j.envpol.2013.09.012
   Tian HQ, 2010, FOREST ECOL MANAG, V259, P1311, DOI 10.1016/j.foreco.2009.10.009
   Timilsina N, 2014, LANDSCAPE URBAN PLAN, V127, P18, DOI 10.1016/j.landurbplan.2014.04.003
   TMD, 2013, STAT TEMP MEMT STAT
   Troy A, 2012, LANDSCAPE URBAN PLAN, V106, P262, DOI 10.1016/j.landurbplan.2012.03.010
   TrustforPublicLand, 2011, CIT PARK FACTS
   Tsai WT, 2010, ENERGY, V35, P4824, DOI 10.1016/j.energy.2010.09.005
   Udomsri S, 2011, APPL ENERG, V88, P1532, DOI 10.1016/j.apenergy.2010.12.020
   UNFCC, 2015, GLOB WARM POT
   Wang Xiao-Jun, 2009, Journal of Forestry Research (Harbin), V20, P79, DOI 10.1007/s11676-009-0014-2
   Weigand H, 2013, WASTE MANAGE, V33, P540, DOI 10.1016/j.wasman.2012.07.009
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Yang N, 2012, WASTE MANAGE, V32, P2552, DOI 10.1016/j.wasman.2012.06.008
   Yang Q, 2016, RENEW SUST ENERG REV, V53, P1580, DOI 10.1016/j.rser.2015.09.049
   Yonekura Y., 2014, 34 ANN C INT ASS IMP
   Zhang B, 2015, LANDSCAPE URBAN PLAN, V140, P8, DOI 10.1016/j.landurbplan.2015.03.014
   Zsigraiova Z, 2009, ENERGY, V34, P623, DOI 10.1016/j.energy.2008.10.015
   ,, 2010, Urban planning, environment and health: from evidence to policy action
NR 88
TC 6
Z9 6
U1 3
U2 55
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0956-053X
EI 1879-2456
J9 WASTE MANAGE
JI Waste Manage.
PD MAR
PY 2017
VL 61
BP 572
EP 581
DI 10.10151/j.wasman.2016.12.012
PG 10
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA ER4CJ
UT WOS:000398746400061
PM 28011287
DA 2025-01-10
ER

PT J
AU Prislan, P
   Gricar, J
   de Luis, M
   Novak, K
   del Castillo, EM
   Schmitt, U
   Koch, G
   Strus, J
   Mrak, P
   Znidaric, MT
   Cufar, K
AF Prislan, Peter
   Gricar, Jozica
   de Luis, Martin
   Novak, Klemen
   Martinez del Castillo, Edurne
   Schmitt, Uwe
   Koch, Gerald
   Strus, Jasna
   Mrak, Polona
   Znidaric, Magda T.
   Cufar, Katarina
TI Annual Cambial Rhythm in <i>Pinus halepensis</i> and <i>Pinus
   sylvestris</i> as Indicator for Climate Adaptation
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE Aleppo pine; cambium; light microscopy; Mediterranean environment; Scots
   pine; temperate environment; transmission electron microscopy; xylem
ID WOOD-FORMATION; VASCULAR CAMBIUM; NORWAY SPRUCE; SILVER-FIR;
   MEDITERRANEAN CLIMATES; SEASONAL DYNAMICS; FAGUS-SYLVATICA; PICEA-ABIES;
   SCOTS PINE; XYLEM
AB To understand better the adaptation strategies of intra-annual radial growth in Pious halepensis and Pious sylvestris to local environmental conditions, we examined the seasonal rhythm of cambial activity and cell differentiation at tissue and cellular levels. Two contrasting sites differing in temperature and amount of precipitation were selected for each species, one typical for their growth and the other represented border climatic conditions, where the two species coexisted. Mature P. halepensis trees from Mediterranean (Spain) and sub-Mediterranean (Slovenia) sites, and P sylvestris from sub-Mediterranean (Slovenia) and temperate (Slovenia) sites were selected. Repeated sampling was performed throughout the year and samples were prepared for examination with light and transmission electron microscopes. We hypothesized that cambial rhythm in trees growing at the sub-Mediterranean site where the two species co-exist will be similar as at typical sites for their growth. Cambium in P halepensis at the Mediterranean site was active throughout the year and was never truly dormant, whereas at the sub-Mediterranean site it appeared to be dormant during the winter months. In contrast, cambium in P. sylvestris was clearly dormant at both sub-Mediterranean and temperate sites, although the dormant period seemed to be significantly longer at the temperate site. Thus, the hypothesis was only partly confirmed. Different cambial and cell differentiation rhythms of the two species at the site where both species co-exist and typical sites for their growth indicate their high but different adaptation strategies in terms of adjustment of radial growth to environmental heterogeneity, crucial for long-term tree performance and survival.
C1 [Prislan, Peter; Gricar, Jozica] Univ Ljubljana, Slovenian Forestry Inst, Ljubljana, Slovenia.
   [de Luis, Martin; Novak, Klemen; Martinez del Castillo, Edurne] Univ Zaragoza, Dept Geog & Reg Planning, Zaragoza, Spain.
   [Novak, Klemen] Univ Alicante, Dept Ecol, Alicante, Spain.
   [Schmitt, Uwe; Koch, Gerald] Thunen Inst Wood Res, Johann Heinrich von Thunen Inst, Hamburg, Germany.
   [Strus, Jasna; Mrak, Polona] Univ Ljubljana, Biotech Fac, Dept Biol, Ljubljana, Slovenia.
   [Znidaric, Magda T.] Univ Ljubljana, Natl Inst Biol, Dept Biotechnol & Syst Biol, Ljubljana, Slovenia.
   [Cufar, Katarina] Univ Ljubljana, Biotech Fac, Dept Wood Sci & Technol, Ljubljana, Slovenia.
C3 Slovenian Forestry Institute; University of Ljubljana; University of
   Zaragoza; Universitat d'Alacant; Johann Heinrich von Thunen Institute;
   University of Ljubljana; University of Ljubljana; National Institute of
   Biology - Slovenia; University of Ljubljana
RP Prislan, P (corresponding author), Univ Ljubljana, Slovenian Forestry Inst, Ljubljana, Slovenia.
EM peter.prislan@gozdis.si
RI Prislan, Peter/K-4532-2019; Cufar, Katarina/AAE-6288-2020; Strus,
   Jasna/I-4376-2019; Novak, Klemen/K-1008-2017; de Luis,
   Martin/F-2559-2010; Martinez del Castillo, Edurne/C-8956-2016
OI Prislan, Peter/0000-0002-3932-6388; Novak, Klemen/0000-0003-0993-5286;
   de Luis, Martin/0000-0002-7585-3636; Martinez del Castillo,
   Edurne/0000-0003-1542-2698; Cufar, Katarina/0000-0002-7403-3994
FU Slovenian Research Agency (ARRS) [P4-0015, P4-0107, L7-2393, Z4-7318];
   7th FP Infrastructures project EUFORINNO [31598]; Spanish Science and
   Innovation Ministry (MICINN); FEDER [CGL2012-31668, CGL2015-69985-R];
   University of Ljubljana; University of Alicante; University of Hamburg;
   COST Action STReESS [FP1106]
FX This work was supported by the Slovenian Research Agency (ARRS), young
   researchers' program (PP), programs P4-0015 and P4-0107, projects
   L7-2393 and Z4-7318, and by the 7th FP Infrastructures project EUFORINNO
   (REGPOT No. 31598), by the Spanish Science and Innovation Ministry
   (MICINN) co-funded by FEDER funds (projects: CGL2012-31668 and
   CGL2015-69985-R) and by ERASMUS bilateral agreements between the
   University of Ljubljana and the University of Alicante, and the
   University of Ljubljana and the University of Hamburg. The cooperation
   among the international partners was supported by COST Action FP1106,
   STReESS.
CR Agusti J, 2013, MECH DEVELOP, V130, P34, DOI 10.1016/j.mod.2012.05.011
   Aitken SN, 1997, CAN J FOREST RES, V27, P1773, DOI [10.1139/cjfr-27-11-1773, 10.1139/x97-151]
   ALFIERI FJ, 1968, AM J BOT, V55, P518, DOI 10.2307/2440583
   ALJARO ME, 1972, AM J BOT, V59, P879, DOI 10.2307/2441114
   [Anonymous], 1999, ELECT MICROSCOPY PRI
   [Anonymous], 1994, Umweltschutz in Klinik und Praxis, DOI DOI 10.1007/978-3-642-93546-6
   [Anonymous], PL ECOL
   BARNETT J R, 1971, New Zealand Journal of Forestry Science, V1, P208
   Begum S, 2013, PHYSIOL PLANTARUM, V147, P46, DOI 10.1111/j.1399-3054.2012.01663.x
   Borghetti M, 1998, TREES-STRUCT FUNCT, V12, P187, DOI 10.1007/s004680050139
   Campelo F, 2015, TREES-STRUCT FUNCT, V29, P237, DOI 10.1007/s00468-014-1108-9
   Chen HM, 2010, TREES-STRUCT FUNCT, V24, P533, DOI 10.1007/s00468-010-0424-y
   Cherubini P, 2003, BIOL REV, V78, P119, DOI 10.1017/S1464793102006000
   CREBER GT, 1984, BOT REV, V50, P357, DOI 10.1007/BF02862630
   Dakskobler I., 2012, HLADNIKIA, V29, P45
   De Luis M, 2007, IAWA J, V28, P389, DOI 10.1163/22941932-90001651
   de Luis M, 2011, FOREST ECOL MANAG, V262, P1630, DOI 10.1016/j.foreco.2011.07.013
   de Luis M, 2011, DENDROCHRONOLOGIA, V29, P163, DOI 10.1016/j.dendro.2011.01.005
   De Micco V, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00705
   Druart N, 2007, PLANT J, V50, P557, DOI 10.1111/j.1365-313X.2007.03077.x
   Fady B., 2003, EUFORGEN TECHNICAL G
   Farrar JJ, 1997, TREES-STRUCT FUNCT, V11, P191, DOI 10.1007/s004680050076
   Frankenstein Claus, 2005, Dendrochronologia, V23, P57, DOI 10.1016/j.dendro.2005.07.007
   Fromm J, 2013, PLANT CELL MONOGR, V20, P3, DOI 10.1007/978-3-642-36491-4_1
   Funada R, 2016, SECONDARY XYLEM BIOL, P25, DOI [10.1016/B978-0-12-802185-9.00002-4, DOI 10.1016/B978-0-12-802185-9.00002-4]
   González LMG, 2012, PLANT CELL ENVIRON, V35, P682, DOI 10.1111/j.1365-3040.2011.02444.x
   Gricar J, 2008, RUSS J PLANT PHYSL+, V55, P538, DOI 10.1134/S102144370804016X
   Gricar J, 2005, ANN BOT-LONDON, V95, P959, DOI 10.1093/aob/mci112
   Gricar J, 2007, XYLO PHLOEMOGENESIS
   Gricar J, 2006, ANN BOT-LONDON, V97, P943, DOI 10.1093/aob/mcl050
   Gricar J, 2016, IAWA J, V37, P349, DOI 10.1163/22941932-20160138
   Gricar J, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00730
   Gricar J, 2014, TREE PHYSIOL, V34, P869, DOI 10.1093/treephys/tpu026
   Gruber A, 2010, TREE PHYSIOL, V30, P490, DOI 10.1093/treephys/tpq003
   Camarero JJ, 2010, NEW PHYTOL, V185, P471, DOI 10.1111/j.1469-8137.2009.03073.x
   Lachaud S, 1999, CR ACAD SCI III-VIE, V322, P633, DOI 10.1016/S0764-4469(99)80103-6
   Lachenbruch B, 2014, NEW PHYTOL, V204, P747, DOI 10.1111/nph.13035
   Lev-Yadun S, 2000, ECOLOGY, BIOGEOGRAPHY AND MANAGEMENT OF PINUS HALEPENSIS AND P BRUTIA FOREST ECOSYSTEMS IN THE MEDITERRANEAN BASIN, P67
   LIPHSCHITZ N, 1986, IAWA BULL, V7, P145, DOI 10.1163/22941932-90000978
   del Castillo EM, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00370
   Matyas C., 2004, EUFORGEN Technical Guidelines for Genetic Conservation and Use for Scots Pine (Pinus sylvestris)
   Nardini A, 2014, ENVIRON EXP BOT, V103, P68, DOI 10.1016/j.envexpbot.2013.09.018
   NIX LE, 1985, WOOD FIBER SCI, V17, P397
   Novak K, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00727
   Novak K, 2016, IAWA J, V37, P260, DOI 10.1163/22941932-20160133
   Oberhuber W, 2010, TREES-STRUCT FUNCT, V24, P887, DOI 10.1007/s00468-010-0458-1
   Olsen JE, 1997, PLANT J, V12, P1339, DOI 10.1046/j.1365-313x.1997.12061339.x
   Plomion C, 2001, PLANT PHYSIOL, V127, P1513, DOI 10.1104/pp.010816
   Prislan P, 2013, IAWA J, V34, P391, DOI 10.1163/22941932-00000032
   Prislan P, 2011, IAWA J, V32, P443, DOI 10.1163/22941932-90000070
   Rathgeber CBK, 2011, ANN BOT-LONDON, V108, P429, DOI 10.1093/aob/mcr168
   Rensing KH, 2004, TREES-STRUCT FUNCT, V18, P373, DOI 10.1007/s00468-003-0314-7
   Rossi S, 2008, GLOBAL ECOL BIOGEOGR, V17, P696, DOI 10.1111/j.1466-8238.2008.00417.x
   Rossi S, 2014, GLOBAL CHANGE BIOL, V20, P2261, DOI 10.1111/gcb.12470
   Rowe N, 2005, NEW PHYTOL, V166, P61, DOI 10.1111/j.1469-8137.2004.01309.x
   Sauter J. J., 1997, P177
   Savidge RA, 2000, EXPTL BIOL REV, P1
   Schmitt U., 2016, SECONDARY XYLEM BIOL, P3, DOI DOI 10.1016/B978-0-12-802185-9.00001-2
   Schrader J, 2004, PLANT J, V40, P173, DOI 10.1111/j.1365-313X.2004.02199.x
   Seo JW, 2008, TREE PHYSIOL, V28, P105, DOI 10.1093/treephys/28.1.105
   Seo JW, 2011, ENVIRON EXP BOT, V72, P422, DOI 10.1016/j.envexpbot.2011.01.003
   SKENE DS, 1972, ANN BOT-LONDON, V36, P179, DOI 10.1093/oxfordjournals.aob.a084570
   SPURR AR, 1969, J ULTRA MOL STRUCT R, V26, P31, DOI 10.1016/S0022-5320(69)90033-1
   Uggla C, 2001, PLANT PHYSIOL, V125, P2029, DOI 10.1104/pp.125.4.2029
   Vieira J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126223
   WAISEL Y, 1965, NEW PHYTOL, V64, P436, DOI 10.1111/j.1469-8137.1965.tb07552.x
   Zalloni E, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00579
NR 67
TC 49
Z9 50
U1 1
U2 32
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD DEC 26
PY 2016
VL 7
AR 1923
DI 10.3389/fpls.2016.01923
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA EF8QS
UT WOS:000390594800001
PM 28082994
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Soolanayakanahally, RY
   Guy, RD
   Street, NR
   Robinson, KM
   Silim, SN
   Albrectsen, BR
   Jansson, S
AF Soolanayakanahally, Raju Y.
   Guy, Robert D.
   Street, Nathaniel R.
   Robinson, Kathryn M.
   Silim, Salim N.
   Albrectsen, Benedicte R.
   Jansson, Stefan
TI Comparative physiology of allopatric <i>Populus</i> species: geographic
   clines in photosynthesis, height growth, and carbon isotope
   discrimination in common gardens
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE comparative physiology; poplar; common garden; latitude; bud set;
   photosynthesis; carbon isotope discrimination; water-use efficiency
ID WATER-USE EFFICIENCY; FUNCTIONAL LEAF TRAITS; POPULATION DIFFERENCES;
   BALSAMIFERA L.; PINUS-CONTORTA; GENETIC DIFFERENTIATION; BLACK
   COTTONWOOD; PICEA-SITCHENSIS; GAS-EXCHANGE; ASPEN CLONES
AB Populus species with wide geographic ranges display strong adaptation to local environments. We studied the clinal patterns in phenology and ecophysiology in allopatric Populus species adapted to similar environments on different continents under common garden settings. As a result of climatic adaptation, both Populus tremula L. and Populus balsamifera L. display latitudinal clines in photosynthetic rates (A), whereby high-latitude trees of P. tremula had higher A compared to low-latitude trees and nearly so in P. balsamifera (p = 0.06). Stomatal conductance (g(S)) and chlorophyll content index (CCI) follow similar latitudinal trends. However, foliar nitrogen was positively correlated with latitude in P. balsamifera and negatively correlated in P. tremula. No significant trends in carbon isotope composition of the leaf tissue (delta C-13) were observed for both species; but, intrinsic water-use efficiency (WUEi) was negatively correlated with the latitude of origin in P. balsamifera. In spite of intrinsically higher A, high-latitude trees in both common gardens accomplished less height gain as a result of early bud set. Thus, shoot biomass was determined by height elongation duration (HED), which was well approximated by the number of days available for free growth between bud flush and bud set. We highlight the shortcoming of unreplicated outdoor common gardens for tree improvement and the crucial role of photoperiod in limiting height growth, further complicating interpretation of other secondary effects.
C1 [Soolanayakanahally, Raju Y.; Silim, Salim N.] Agr & Agri Food Canada, Agroforestry Dev Ctr, Indian Head, SK S0G 2K0, Canada.
   [Soolanayakanahally, Raju Y.; Guy, Robert D.] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC V5Z 1M9, Canada.
   [Street, Nathaniel R.; Robinson, Kathryn M.; Albrectsen, Benedicte R.; Jansson, Stefan] Umea Univ, Dept Plant Physiol, Umea Plant Sci Ctr, S-90187 Umea, Sweden.
C3 Agriculture & Agri Food Canada; University of British Columbia; Umea
   University
RP Soolanayakanahally, RY (corresponding author), Agr & Agri Food Canada, Agroforestry Dev Ctr, 2 Govt Rd, Indian Head, SK S0G 2K0, Canada.
EM raju.soolanayakanahally@agr.gc.ca
RI Guy, Robert/GPX-8421-2022; Soolanayakanahally, Raju/AAF-7083-2019;
   Albrectsen, Benedicte/E-6963-2013; Street, Nathaniel/B-3920-2008;
   Jansson, Stefan/A-1119-2009; Robinson, Kathryn Megan/B-7807-2016
OI Street, Nathaniel/0000-0001-6031-005X; Albrectsen, Benedicte
   Riber/0000-0002-9337-4540; Jansson, Stefan/0000-0002-7906-6891;
   Robinson, Kathryn Megan/0000-0002-5249-604X
FU Agriculture and Agri-Food Canada (AAFC); AAFC; Natural Sciences and
   Engineering Research Council (Canada) Discovery Grant; Swedish Research
   Council (VR); Swedish Research Council for Environment, Agricultural
   Sciences and Spatial Planning (Formas)
FX RS would like to thank Agriculture and Agri-Food Canada (AAFC) for
   providing financial support. This work was collectively supported by
   grants from AAFC to SS, a Natural Sciences and Engineering Research
   Council (Canada) Discovery Grant to RG and from the Swedish Research
   Council (VR) and the Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (Formas) to SJ. Thanks to Don
   Reynard for planting and maintaining the common garden at Indian Head
   and also Christiane Catellier for help with instrumentation.
CR Anderson JE, 1996, AUST J PLANT PHYSIOL, V23, P311, DOI 10.1071/PP9960311
   [Anonymous], SVENSK PAPPERSTIDN
   [Anonymous], 1950, CALIF AGR EXP STN CI
   [Anonymous], SVENSK PAPPERSTIDN
   Benowicz A, 2000, OECOLOGIA, V123, P168, DOI 10.1007/s004420051002
   Biber P.D., 2007, J. Agric. Food Environ. Sci, V1, P1
   BILLINGS W D, 1971, Arctic and Alpine Research, V3, P277
   CAMPBELL RK, 1975, BOT GAZ, V136, P290, DOI 10.1086/336817
   CANNELL MGR, 1976, SILVAE GENET, V25, P49
   Chamaillard S, 2011, TREE PHYSIOL, V31, P1076, DOI 10.1093/treephys/tpr089
   Cornelissen JHC, 2003, J VEG SCI, V14, P311, DOI 10.1111/j.1654-1103.2003.tb02157.x
   DONOVAN LA, 1994, OECOLOGIA, V100, P347, DOI 10.1007/BF00316964
   ENDLER JA, 1973, SCIENCE, V179, P243, DOI 10.1126/science.179.4070.243
   EVANS JR, 1989, OECOLOGIA, V78, P9, DOI 10.1007/BF00377192
   FARQUHAR GD, 1982, AUST J PLANT PHYSIOL, V9, P121, DOI 10.1071/PP9820121
   Farrar J.L, 1995, TREES CANADA, Vfirst
   Gornall JL, 2007, CAN J BOT, V85, P1202, DOI 10.1139/B07-079
   Guy RD, 2001, CAN J BOT, V79, P274, DOI 10.1139/cjb-79-3-274
   HOWE GT, 1995, PHYSIOL PLANTARUM, V93, P695, DOI 10.1111/j.1399-3054.1995.tb05119.x
   Johnsen KH, 1996, TREE PHYSIOL, V16, P375
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KORNER C, 1987, OECOLOGIA, V74, P411, DOI 10.1007/BF00378938
   LECHOWICZ MJ, 1984, AM NAT, V124, P821, DOI 10.1086/284319
   LEDIG FT, 1970, BOT GAZ, V131, P349, DOI 10.1086/336552
   Li CY, 2003, PHYSIOL PLANTARUM, V117, P206, DOI 10.1034/j.1399-3054.2003.00002.x
   Linhart YB, 1996, ANNU REV ECOL SYST, V27, P237, DOI 10.1146/annurev.ecolsys.27.1.237
   Luquez V, 2008, TREE GENET GENOMES, V4, P279, DOI 10.1007/s11295-007-0108-y
   McKown AD, 2014, NEW PHYTOL, V203, P535, DOI 10.1111/nph.12815
   McKown AD, 2014, NEW PHYTOL, V201, P1263, DOI 10.1111/nph.12601
   McKown AD, 2013, OECOLOGIA, V172, P653, DOI 10.1007/s00442-012-2531-5
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Moles AT, 2009, J ECOL, V97, P923, DOI 10.1111/j.1365-2745.2009.01526.x
   MOONEY HA, 1961, ECOL MONOGR, V31, P1, DOI 10.2307/1950744
   Mylecraine KA, 2005, FOREST ECOL MANAG, V216, P91, DOI 10.1016/j.foreco.2005.05.053
   OLBRICH BW, 1993, J HYDROL, V150, P615, DOI 10.1016/0022-1694(93)90128-V
   Oleksyn J, 1998, FUNCT ECOL, V12, P573, DOI 10.1046/j.1365-2435.1998.00236.x
   Olson MS, 2013, MOL ECOL, V22, P1214, DOI 10.1111/mec.12067
   Ovaska J., 1988, THESIS U TURKU TURKU
   Pauley S. S., 1954, Journal of the Arnold Arboretum, V35, P167
   PAULEY SCOTT S., 1949, ECON BOT, V3, P299, DOI 10.1007/BF02859100
   Pointeau VM, 2014, BOTANY, V92, P443, DOI 10.1139/cjb-2013-0303
   Rae AM, 2004, CAN J FOREST RES, V34, P1488, DOI 10.1139/X04-033
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   REICH PB, 1988, OECOLOGIA, V77, P25, DOI 10.1007/BF00380920
   Reich PB, 1996, FUNCT ECOL, V10, P768, DOI 10.2307/2390512
   REICH PB, 1995, OECOLOGIA, V104, P24, DOI 10.1007/BF00365558
   Schipperges B, 1995, LICHENOLOGIST, V27, P517
   SCHNEKENBURGER F, 1989, FOREST SCI, V35, P903
   Sheriff DW, 1986, TREE PHYSIOL, V2, P73, DOI 10.1093/treephys/2.1-2-3.73
   Smith EA, 2011, TREE PHYSIOL, V31, P68, DOI 10.1093/treephys/tpq100
   Soolanayakanahally RY, 2013, PLANT CELL ENVIRON, V36, P116, DOI 10.1111/j.1365-3040.2012.02560.x
   Soolanayakanahally RY, 2009, PLANT CELL ENVIRON, V32, P1821, DOI 10.1111/j.1365-3040.2009.02042.x
   Sylven N., 1940, Svensk Papperstidning, V43, P317
   van den Berg AK, 2004, FOREST ECOL MANAG, V200, P113, DOI 10.1016/j.foreco.2004.06.005
   VONCAEMMERER S, 1981, PLANTA, V153, P376, DOI 10.1007/BF00384257
   Wang D, 2013, ECOSPHERE, V4, DOI 10.1890/ES13-00156.1
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   Way DA, 2015, PLANT CELL ENVIRON, V38, P1725, DOI 10.1111/pce.12431
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
   Wright IJ, 2004, FUNCT PLANT BIOL, V31, P551, DOI 10.1071/FP03212
   Yu QB, 2001, SILVA FENN, V35, P15, DOI 10.14214/sf.600
   ZHANG J, 1994, CAN J FOREST RES, V24, P92, DOI 10.1139/x94-014
   Zhang JW, 1997, TREE PHYSIOL, V17, P461
   ZHANG JW, 1993, OECOLOGIA, V93, P80, DOI 10.1007/BF00321195
   Zhang XL, 2004, PLANT SCI, V166, P791, DOI 10.1016/j.plantsci.2003.11.016
NR 65
TC 29
Z9 34
U1 2
U2 68
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD JUL 14
PY 2015
VL 6
AR 528
DI 10.3389/fpls.2015.00528
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA CN7BY
UT WOS:000358589700001
PM 26236324
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Prober, SM
   Thiele, KR
   Rundel, PW
   Yates, CJ
   Berry, SL
   Byrne, M
   Christidis, L
   Gosper, CR
   Grierson, PF
   Lemson, K
   Lyons, T
   Macfarlane, C
   O'Connor, MH
   Scott, JK
   Standish, RJ
   Stock, WD
   van Etten, EJB
   Wardell-Johnson, GW
   Watson, A
AF Prober, Suzanne M.
   Thiele, Kevin R.
   Rundel, Philip W.
   Yates, Colin J.
   Berry, Sandra L.
   Byrne, Margaret
   Christidis, Les
   Gosper, Carl R.
   Grierson, Pauline F.
   Lemson, Kristina
   Lyons, Tom
   Macfarlane, Craig
   O'Connor, Michael H.
   Scott, John K.
   Standish, Rachel J.
   Stock, William D.
   van Etten, Eddie J. B.
   Wardell-Johnson, Grant W.
   Watson, Alexander
TI Facilitating adaptation of biodiversity to climate change: a conceptual
   framework applied to the world's largest Mediterranean-climate woodland
SO CLIMATIC CHANGE
LA English
DT Article
ID SOUTH-WESTERN AUSTRALIA; LAND-COVER CHANGE; PROTECTED AREAS; FIRE
   REGIMES; CONSERVATION; VEGETATION; CO2; TRANSPIRATION; ENVIRONMENTS;
   ECOSYSTEMS
AB The importance of ecological management for reducing the vulnerability of biodiversity to climate change is increasingly recognized, yet frameworks to facilitate a structured approach to climate adaptation management are lacking. We developed a conceptual framework that can guide identification of climate change impacts and adaptive management options in a given region or biome. The framework focuses on potential points of early climate change impact, and organizes these along two main axes. First, it recognizes that climate change can act at a range of ecological scales. Secondly, it emphasizes that outcomes are dependent on two potentially interacting and countervailing forces: (1) changes to environmental parameters and ecological processes brought about by climate change, and (2) responses of component systems as determined by attributes of resistance and resilience. Through this structure, the framework draws together a broad range of ecological concepts, with a novel emphasis on attributes of resistance and resilience that can temper the response of species, ecosystems and landscapes to climate change. We applied the framework to the world's largest remaining Mediterranean-climate woodland, the 'Great Western Woodlands' of south-western Australia. In this relatively intact region, maintaining inherent resistance and resilience by preventing anthropogenic degradation is of highest priority and lowest risk. Limited, higher risk options such as fire management, protection of refugia and translocation of adaptive genes may be justifiable under more extreme change, hence our capacity to predict the extent of change strongly impinges on such management decisions. These conclusions may contrast with similar analyses in degraded landscapes, where natural integrity is already compromised, and existing investment in restoration may facilitate experimentation with higher risk options.
C1 [Prober, Suzanne M.; Gosper, Carl R.; Macfarlane, Craig; O'Connor, Michael H.; Scott, John K.] CSIRO Climate Adaptat Natl Res Flagship, Po Wembley, WA 6913, Australia.
   [Prober, Suzanne M.; Gosper, Carl R.; Macfarlane, Craig; O'Connor, Michael H.; Scott, John K.] CSIRO Ecosyst Sci, Wembley, WA 6913, Australia.
   [Thiele, Kevin R.; Yates, Colin J.; Byrne, Margaret; Gosper, Carl R.] Dept Environm & Conservat, Div Sci, Perth, WA 6983, Australia.
   [Rundel, Philip W.] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA.
   [Berry, Sandra L.] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 0200, Australia.
   [Christidis, Les] So Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW 2450, Australia.
   [Grierson, Pauline F.; Standish, Rachel J.] Univ Western Australia, Sch Plant Biol, Crawley, WA 6009, Australia.
   [Lemson, Kristina; Stock, William D.; van Etten, Eddie J. B.] Edith Cowan Univ, Ctr Ecosyst Management, Sch Nat Sci, Joondalup, WA 6027, Australia.
   [Lyons, Tom] Murdoch Univ, Ctr Excellence Climate Change Woodland & Forest H, Sch Environm Sci, Murdoch, WA 6150, Australia.
   [Wardell-Johnson, Grant W.] Curtin Univ Technol, Curtin Inst Biodivers & Climate, Perth, WA 6845, Australia.
   [Watson, Alexander] Wilderness Soc, Perth, WA 6005, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of California System; University of California Los Angeles;
   Australian National University; Southern Cross University; University of
   Western Australia; Edith Cowan University; Murdoch University; Curtin
   University
RP Prober, SM (corresponding author), CSIRO Climate Adaptat Natl Res Flagship, Private Bag 5, Po Wembley, WA 6913, Australia.
EM suzanne.prober@csiro.au
RI Macfarlane, Craig/C-4912-2011; Yates, Colin/B-5972-2011; Christidis,
   Les/B-6619-2011; Standish, Rachel/B-1028-2011; van Etten,
   Eddie/AAC-2612-2020; Thiele, Kevin/W-1876-2019; Grierson,
   Pauline/A-9240-2008; Scott, John/C-1061-2009; Stock,
   William/B-8858-2008; Prober, Suzanne/G-6465-2010; Gosper,
   Carl/C-1206-2008; Byrne, Margaret/H-8198-2015
OI Grierson, Pauline/0000-0003-2135-0272; Scott, John/0000-0002-8303-9706;
   Macfarlane, Craig/0009-0001-6090-9959; Standish,
   Rachel/0000-0001-8118-1904; Stock, William/0000-0003-2475-2963; Thiele,
   Kevin/0000-0002-6658-6636; Christidis, Les/0000-0002-3345-6034; Prober,
   Suzanne/0000-0002-6518-239X; Lemson, Kristina/0000-0002-8342-9528;
   Gosper, Carl/0000-0002-0962-5117; van Etten, Eddie/0000-0002-7311-1794;
   Byrne, Margaret/0000-0002-7197-5409
FU Australian Research Council Network for Vegetation Function
FX This study was supported by the Australian Research Council Network for
   Vegetation Function.
CR [Anonymous], USING GEN DISSIMILAR
   [Anonymous], 2009, A Report to the Natural Resource Management Ministerial Council Commissioned By the Australian Government
   [Anonymous], CLIM CHANG AUSTR TEC
   [Anonymous], 2008, WEB ECOLOGY
   Archer D, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002625
   Beard J.S., 1990, PLANT LIFE W AUSTR
   Berry SL, 2004, GLOBAL CHANGE BIOL, V10, P1884, DOI 10.1111/j.1365-2486.2004.00855.x
   Boer MM, 2008, LANDSCAPE ECOL, V23, P899, DOI 10.1007/s10980-008-9260-5
   Bradstock RA, 2010, GLOBAL ECOL BIOGEOGR, V19, P145, DOI 10.1111/j.1466-8238.2009.00512.x
   CASENAVE A, 1992, J HYDROL, V130, P231, DOI 10.1016/0022-1694(92)90112-9
   Costelloe JF, 2008, OECOLOGIA, V156, P43, DOI 10.1007/s00442-008-0975-4
   Cowling RM, 1996, TRENDS ECOL EVOL, V11, P362, DOI 10.1016/0169-5347(96)10044-6
   Cullen LE, 2009, CLIM DYNAM, V33, P433, DOI 10.1007/s00382-008-0457-8
   DeBano LF, 2000, J HYDROL, V231, P195, DOI 10.1016/S0022-1694(00)00194-3
   Dirnböck T, 2002, APPL VEG SCI, V5, P147, DOI 10.1111/j.1654-109X.2002.tb00544.x
   Dunlop Michael., 2008, Implications of Climate Change for Australia's National Reserve System - A Preliminary Assessment
   Edwards G. P., 2008, MANAGING IMPACTS FER, P331
   FARRINGTON P, 1994, AUST J ECOL, V19, P17, DOI 10.1111/j.1442-9993.1994.tb01538.x
   Fischlin A, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P211
   Fletcher C, 2010, USING ARTIFICIAL NEU
   Garkaklis MJ, 2000, J ARID ENVIRON, V45, P35, DOI 10.1006/jare.1999.0603
   Grayson RB, 2006, DRYLAND ECOHYDROLOGY, P109, DOI 10.1007/1-4020-4260-4_7
   Grubb P.J., 1986, Resilience in Mediterraneantype Ecosystems, V16, P21, DOI [10.1007/978-94-009-4822-83, DOI 10.1007/978-94-009-4822-83]
   Grünzweig JM, 2003, FUNCT ECOL, V17, P766, DOI 10.1111/j.1365-2435.2003.00797.x
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Hamrick J. L., 1990, Plant population genetics, breeding, and genetic resources., P43
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Hannah L, 2008, BIOL LETTERS, V4, P590, DOI 10.1098/rsbl.2008.0270
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hewitt Godfrey M., 2005, P176
   Hobbs RJ, 2003, PLANT SOIL, V257, P371, DOI 10.1023/A:1027391023128
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   HOPKINS AJM, 1981, AUST J ECOL, V6, P177, DOI 10.1111/j.1442-9993.1981.tb01288.x
   Hopper SD, 2004, ANNU REV ECOL EVOL S, V35, P623, DOI 10.1146/annurev.ecolsys.35.112202.130201
   Hovenden MJ, 2008, POTENTIAL IMPACTS EL
   Kala J, 2011, BOUND-LAY METEOROL, V138, P121, DOI 10.1007/s10546-010-9547-3
   Kealley I., 1991, FOREST MANAGEMENT AU, P286
   Keighery Greg, 2004, Plant Protection Quarterly, V19, P12
   Klausmeyer KR, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006392
   Lawler JJ, 2010, FRONT ECOL ENVIRON, V8, P35, DOI 10.1890/070146
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Ludwig J., 1997, 'Landscape ecology: function and management - principles from Australia's rangelands.'
   Martin Greg, 2003, Ecological Management & Restoration, V4, P114, DOI 10.1046/j.1442-8903.2003.00145.x
   Martin T, 2010, INVASIVE SPECIES CLI
   Morton S. R., 1995, Biodiversity Series
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   O'Donnell AJ, 2011, J BIOGEOGR, V38, P112, DOI 10.1111/j.1365-2699.2010.02381.x
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Parmesan Camille, 2005, P41
   Parr CL, 2006, CONSERV BIOL, V20, P1610, DOI 10.1111/j.1523-1739.2006.00492.x
   Parsons BC, 2011, INT J WILDLAND FIRE, V20, P184, DOI 10.1071/WF09099
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pitman AJ, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD004347
   Prober SM, 2009, AGR ECOSYST ENVIRON, V132, P173, DOI 10.1016/j.agee.2009.04.005
   Recher H.F., 1990, Proceedings of the Ecological Society of Australia, V16, P287
   Recher Harry, 2007, Wingspan, V17, P16
   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
   SANDERS DW, 1986, CLIMATIC CHANGE, V9, P187, DOI 10.1007/BF00140535
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P19
   Soule M. E., 2004, Pacific Conservation Biology, V10, P266
   Underwood EC, 2009, CONSERV BIOL, V23, P43, DOI 10.1111/j.1523-1739.2008.01072.x
   Walker B., 2004, Ecology and Society, V9, P5
   Watson A., 2008, The extraordinary nature of the Great Western Woodlands
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   Yates CJ, 2000, AUSTRAL ECOL, V25, P36, DOI 10.1111/j.1442-9993.2000.tb00005.x
   Yates CJ, 2000, TEMPERATE EUCALYPT WOODLANDS IN AUSTRALIA, P86
   Yates Colin J., 1994, Pacific Conservation Biology, V1, P214
   Yates CJ, 2010, DIVERS DISTRIB, V16, P187, DOI 10.1111/j.1472-4642.2009.00623.x
NR 69
TC 73
Z9 79
U1 1
U2 79
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 2012
VL 110
IS 1-2
BP 227
EP 248
DI 10.1007/s10584-011-0092-y
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 859XY
UT WOS:000297910300013
DA 2025-01-10
ER

PT J
AU Parkash, R
   Aggarwal, DD
   Kalra, B
   Ranga, P
AF Parkash, Ravi
   Aggarwal, Dau Dayal
   Kalra, Bhawna
   Ranga, Poonam
TI Divergence of water balance mechanisms in two melanic <i>Drosophila</i>
   species from the western Himalayas
SO COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY A-MOLECULAR & INTEGRATIVE
   PHYSIOLOGY
LA English
DT Article
DE Body melanisation; Cuticular lipids; Desiccation resistance;
   Developmental plasticity; D. busckii; D. melanogaster
ID EUROSTA-SOLIDAGINIS DIPTERA; DESICCATION RESISTANCE; CUTICULAR
   PERMEABILITY; OVERWINTERING LARVAE; BODY MELANISATION; GALL FLY;
   MELANOGASTER; CUTICLE; MELANIZATION; POPULATIONS
AB Drosophila busckii is more abundant under colder and drier montane habitats in the western Himalayas as compared to Drosophila melanogaster but the mechanistic basis of such climatic adaptations is largely unknown. We tested the hypothesis whether genetic variation or phenotypic plasticity of cuticular traits confer adaptive protection against desiccation stress in two melanic Drosophila species living under drier montane localities. For D. melanogaster, changes in melanisation are known to be associated with reduced water loss but there are no data on D. busckii. We investigated changes in body melanisation, cuticular lipids, desiccation resistance, water loss, extractable hemolymph volume (%), and dehydration tolerance in six sympatric populations of D. busckii and D. melanogaster over an altitudinal range of 640-2236m. D. busckii is a melanic species but changes in cuticular water loss are negatively correlated with cuticular lipid mass and not with body melanisation. In D. melanogaster, there are no plastic effects (14-28 degrees C) for cuticular lipid mass but variation in body melanisation is associated with desiccation-related traits. Effects of organic solvents (hexane or chloroform: methanol), developmental plasticity and seasonal variation in cuticular lipids affect body water loss in D. busckii but no such changes occur in D. melanogaster. Thus, sympatric populations of D. busckii and D. melanogaster have evolved different water balance mechanisms under shared environmental conditions in the western Himalayas. Multiple measures of desiccation resistance in these species show clinal variation with altitude, consistent with adaptation to increased desiccation stress. (C) 2011 Elsevier Inc. All rights reserved.
C1 [Parkash, Ravi; Aggarwal, Dau Dayal; Kalra, Bhawna; Ranga, Poonam] Maharshi Dayanand Univ, Dept Genet, Rohtak, Haryana, India.
   [Kalra, Bhawna] Univ Haifa, Dept Biol, IL-36006 Tivon, Israel.
C3 Maharshi Dayanand University; University of Haifa
RP Aggarwal, DD (corresponding author), Maharshi Dayanand Univ, Dept Genet, Type 4-35, Rohtak, Haryana, India.
EM rpgenetics@gmail.com
RI Parkash, Ravi/I-4987-2019
OI RANGA, POONAM/0000-0002-0978-4759; kalra, Dr Bhawna/0000-0002-6687-5622;
   Parkash, Ravi/0000-0001-9880-3941
FU University Grants Commission, New Delhi; Council of Scientific and
   Industrial Research
FX Financial assistance from University Grants Commission, New Delhi is
   gratefully acknowledged. D. D. Aggarwal is thankful to Council of
   Scientific and Industrial Research for senior research fellowship.
CR [Anonymous], 1998, Biostatistical Analysis
   Chapman R.F., 1998, The insects, Vfourth, DOI DOI 10.1017/CBO9780511818202
   Chown S.L., 2004, Mechanisms and Patterns, DOI [DOI 10.1093/ACPROF:OSO/9780198515494.001.0001, DOI 10.1093/ACPROF:OSO/9780198515494.003.0003]
   Chown SL, 2002, COMP BIOCHEM PHYS A, V133, P791, DOI 10.1016/S1095-6433(02)00200-3
   Edney E. B., 1977, Water Balance in Land Arthropods, DOI DOI 10.1007/978-3-642-81105-0
   Endler J.A., 1986, Monographs in Population Biology, pviii
   Folk DG, 2001, J EXP BIOL, V204, P3323
   Fraenkel G, 1940, PROC R SOC SER B-BIO, V129, P1, DOI 10.1098/rspb.1940.0027
   GIBBS A, 1991, P NATL ACAD SCI USA, V88, P7257, DOI 10.1073/pnas.88.16.7257
   Gibbs AG, 2002, COMP BIOCHEM PHYS A, V133, P781, DOI 10.1016/S1095-6433(02)00208-8
   Gibbs AG, 2003, J EXP BIOL, V206, P1183, DOI 10.1242/jeb.00233
   Gibbs AG, 2002, J INSECT PHYSIOL, V48, P391, DOI 10.1016/S0022-1910(02)00059-8
   Gibbs AG, 1997, J EXP BIOL, V200, P1821
   Hadley N. F., 1994, WATER RELATIONS TERR
   HADLEY NF, 1977, INSECT BIOCHEM, V7, P277, DOI 10.1016/0020-1790(77)90025-7
   HADLEY NF, 1989, PROG LIPID RES, V28, P1, DOI 10.1016/0163-7827(89)90005-2
   HADLEY NF, 1989, J COMP PHYSIOL B, V159, P243, DOI 10.1007/BF00691500
   HADLEY NF, 1987, J INSECT PHYSIOL, V33, P677, DOI 10.1016/0022-1910(87)90050-3
   HOFFMANN AA, 1993, J EVOLUTION BIOL, V6, P643, DOI 10.1046/j.1420-9101.1993.6050643.x
   Hoffmann AA, 1999, HEREDITY, V83, P637, DOI 10.1038/sj.hdy.6886490
   HOPKINS TL, 1992, ANNU REV ENTOMOL, V37, P273, DOI 10.1146/annurev.en.37.010192.001421
   KRIVSHENKO JD, 1955, P NATL ACAD SCI USA, V41, P1071, DOI 10.1073/pnas.41.12.1071
   Lehmann FA, 2001, SCIENCE, V294, P1926, DOI 10.1126/science.1064821
   Lehmann FO, 2000, J EXP BIOL, V203, P1613
   Nelson DR, 2004, COMP BIOCHEM PHYS B, V138, P313, DOI 10.1016/j.cbpc.2004.04.013
   NOBLENESBITT J, 1995, J EXP BIOL, V198, P235
   Parkash R, 2008, J ZOOL, V276, P219, DOI 10.1111/j.1469-7998.2008.00478.x
   Parkash R, 2010, J ZOOL, V280, P49, DOI 10.1111/j.1469-7998.2009.00641.x
   Parkash R, 2008, FLY, V2
   Parkash R, 2008, FLY, V2, P111, DOI 10.4161/fly.6351
   Parkash R, 2008, J INSECT PHYSIOL, V54, P1050, DOI 10.1016/j.jinsphys.2008.04.008
   Parkash R, 2009, J INSECT PHYSIOL, V55, P898, DOI 10.1016/j.jinsphys.2009.06.004
   PRAKASH S, 1973, GENETICS, V75, P571
   Pryor MGM, 1940, PROC R SOC SER B-BIO, V128, P393, DOI 10.1098/rspb.1940.0018
   Rajpurohit Subhash, 2008, Entomological Research, V38, P49, DOI 10.1111/j.1748-5967.2008.00129.x
   Ramlov H, 2000, J EXP BIOL, V203, P783
   Rourke BC, 2000, J EXP BIOL, V203, P2699
   Telonis-Scott M, 2006, J EXP BIOL, V209, P1837, DOI 10.1242/jeb.02201
   TOOLSON EC, 1979, J COMP PHYSIOL, V129, P319, DOI 10.1007/BF00686988
   TOOLSON EC, 1984, PHYSIOL ZOOL, V57, P550, DOI 10.1086/physzool.57.5.30163947
   True JR, 2003, TRENDS ECOL EVOL, V18, P640, DOI 10.1016/j.tree.2003.09.006
NR 41
TC 15
Z9 17
U1 0
U2 11
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1095-6433
EI 1531-4332
J9 COMP BIOCHEM PHYS A
JI Comp. Biochem. Physiol. A-Mol. Integr. Physiol.
PD APR
PY 2011
VL 158
IS 4
BP 531
EP 541
DI 10.1016/j.cbpa.2010.12.018
PG 11
WC Biochemistry & Molecular Biology; Physiology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Physiology; Zoology
GA 738LG
UT WOS:000288640700024
PM 21220040
DA 2025-01-10
ER

PT J
AU Parkash, R
   Rajpurohit, S
   Ramniwas, S
AF Parkash, Ravi
   Rajpurohit, Subhash
   Ramniwas, Seema
TI Impact of darker, intermediate and lighter phenotypes of body
   melanization on desiccation resistance in <i>Drosophila melanogaster</i>
SO JOURNAL OF INSECT SCIENCE
LA English
DT Article
DE abdominal melanization; assorted phenotypes; rate of water loss;
   climatic adaptation
ID ADALIA-BIPUNCTATA; ADAPTIVE SIGNIFICANCE; COLIAS BUTTERFLIES; CLIMATIC
   SELECTION; 2-SPOT LADYBIRD; POPULATIONS; MELANISM; CLINES; EVOLUTION;
   SIMULANS
AB A possible link between melanization and desiccation resistance can be inferred if within population differences in melanization find significant correlations with desiccation resistance and its mechanistic basis i.e. rate of water loss/hr. Accordingly, darker, intermediate and lighter phenotypes of body melanization were analyzed in wild and laboratory reared Drosophila melanogaster L. ( Diptera: Clyclorrapha) populations from highland and lowland sites located in close proximity at five different latitudinal locations (11.15 degrees N to 31.06 degrees N) within the Indian subcontinent. In large population samples, occurrence of significant within population variability made it possible to assort non-overlapping phenotypes of body coloration (i.e. lighter (<25%), intermediate (30 to 40%) and darker (>45%)) for all the populations which were further investigated for desiccation resistance and rate of water loss/hr. Significantly, higher desiccation resistance but much reduced rate of water loss/hr were observed in darker and intermediate phenotypes in all the populations. By contrast, lighter phenotypes exhibited lower desiccation tolerance but higher rate of water loss/hr. A regression analysis between traits provided similar slope values for wild and laboratory populations. For all three physiological traits, predicted trait values from multiple regression analysis as a simultaneous function of annual average temperature and relative humidity, matched the observed values. We infer that parallel changes in melanization and desiccation resistance may result from decreasing annual average temperature and relative humidity along increasing latitude as well as altitude on the Indian subcontinent.
C1 [Parkash, Ravi; Rajpurohit, Subhash; Ramniwas, Seema] Maharshi Dayanand Univ, Dept Biochem & Genet, Rohtak 124001, Haryana, India.
C3 Maharshi Dayanand University
RP Rajpurohit, S (corresponding author), Univ Nevada, Sch Life Sci, 4505 Maryland Pkwy, Las Vegas, NV 89154 USA.
EM srmailbox@rediffmail.com
RI Parkash, Ravi/I-4987-2019; Rajpurohit, Subhash/O-9912-2018
OI Parkash, Ravi/0000-0001-9880-3941; Rajpurohit,
   Subhash/0000-0001-9149-391X; Ramniwas, Seema/0000-0002-4899-4687
CR [Anonymous], 1998, Melanism: Evolution in Action
   BRAKEFIELD PM, 1985, HEREDITY, V54, P9, DOI 10.1038/hdy.1985.3
   de Jong PW, 1998, P ROY SOC B-BIOL SCI, V265, P39, DOI 10.1098/rspb.1998.0261
   DeJong PW, 1996, J EXP BIOL, V199, P2655
   DOBZHANSKY T, 1948, GENETICS, V33, P158
   Ellers J, 2004, BIOL J LINN SOC, V82, P79, DOI 10.1111/j.1095-8312.2004.00319.x
   Falconer D.S., 1996, Quantitative Genetics
   Gibbs AG, 1998, AM ZOOL, V38, P471
   Gibbs AG, 1997, J EXP BIOL, V200, P1821
   Gibbs AG, 2001, J EXP BIOL, V204, P2331
   GUPPY CS, 1986, OECOLOGIA, V70, P205, DOI 10.1007/BF00379241
   Hadley N. F., 1994, WATER RELATIONS TERR
   HOFFMANN AA, 1993, J EVOLUTION BIOL, V6, P643, DOI 10.1046/j.1420-9101.1993.6050643.x
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   Kalmus H, 1941, PROC R SOC SER B-BIO, V130, P185, DOI 10.1098/rspb.1941.0011
   Lee RE, 1991, INSECTS LOW TEMPERAT
   Mani M.S., 1968, Series Entomologica, DOI 10.1007/978-94-017-1339-9
   METTLER LE, 1977, GENETICS, V87, P169
   Neville A.C., 1975, BIOL ARTHROPOD CUTIC
   Parkash R, 2005, PHYSIOL ENTOMOL, V30, P353, DOI 10.1111/j.1365-3032.2005.00470.x
   Parkash R, 1999, J ZOOL SYST EVOL RES, V37, P195
   PREVOSTI A, 1985, EVOLUTION, V39, P838, DOI 10.1111/j.1558-5646.1985.tb00425.x
   STALKER HD, 1948, EVOLUTION, V2, P295, DOI 10.2307/2405520
   True JR, 2003, TRENDS ECOL EVOL, V18, P640, DOI 10.1016/j.tree.2003.09.006
   WATADA M, 1986, JPN J GENET, V61, P469, DOI 10.1266/jjg.61.469
   WATT WB, 1968, EVOLUTION, V22, P437, DOI 10.1111/j.1558-5646.1968.tb03985.x
   Willmer P., 2005, Environmental Physiology of Animals, V2nd
   Wittkopp PJ, 2003, TRENDS GENET, V19, P495, DOI 10.1016/S0168-9525(03)00194-X
   Zachariassen KE, 1996, EUR J ENTOMOL, V93, P359
   Zar HJ, 1996, Biostatistical analysis, V3rd
NR 30
TC 24
Z9 28
U1 1
U2 10
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 1536-2442
EI 2250-2645
J9 J INSECT SCI
JI J Insect Sci.
PD JUL 8
PY 2009
VL 9
AR 49
PG 10
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 468GL
UT WOS:000267804900001
PM 20050769
DA 2025-01-10
ER

PT C
AU Fleischer, M
   Dinar, M
AF Fleischer, M.
   Dinar, M.
BE Sadka, A
TI How to Tailor-Make a Greenhouse Cover
SO INTERNATIONAL CIPA CONFERENCE 2012 ON PLASTICULTURE FOR A GREEN PLANET
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT International CIPA Conference on Plasticulture for a Green Planet
CY MAY 15-17, 2012
CL Tel Aviv, ISRAEL
SP Int Soc Hort Sci, CIPA
DE diffused light; greenhouse; yield; thermal films
ID ENERGY USE; PRODUCTIVITY; GROWTH; SHADE; CROPS
AB Recently, the ability to manipulate the physical and spectral characteristics of plastic film has dramatically improved. This ability enables us to tailor-make a greenhouse cover adapted for climate conditions, crop requirements, insects and diseases behavior and different other specific requirements. The additives in the greenhouse cover are usually added to change a specific property of the plastic film, but they affect other properties as well. For example, blocking the UVA spectrum by introducing UVA absorbers to the greenhouse cover reduces Botrytis infection and the insect's navigation in the greenhouse. However, the same UVA absorber might also interfere with pollination of the flowers by bumblebees. Using the common IR additives will result in the production of a thermal greenhouse cover linked with the possible reduction of the total light transmission as a side effect. Supplementary to that, IR additives increase the diffused light which positively affect some crops (e.g. peppers) but can reduce total light transmission and reduce yield in others (e.g. tomatoes). One of our goals was to optimize the use of thermal additives for specific conditions under various climate zones and crop requirements. We will present new additives that enable to produce thermal films with no negative effect on light transmittance. These additives also have a minimal effect on diffused light. We will also introduce a new additive that reduces the diffused light originating from the polyethylene and show that it is possible to get an overall higher light transparency. Achieving an in-depth understanding of how to manipulate the optical properties of the plastic enables us to adjust greenhouse covers according to climate conditions and crop requirements.
C1 [Fleischer, M.; Dinar, M.] Tosaf Cpds Ltd, Alon Tavor Ind Zone, Afula, Israel.
RP Fleischer, M (corresponding author), Tosaf Cpds Ltd, Alon Tavor Ind Zone, Afula, Israel.
CR Dueck T., 2009, LECT NOTES
   Hemming S., 2007, EFFECTS DIFFUSE LIGH
   López-Marín J, 2011, ACTA HORTIC, P895, DOI 10.17660/ActaHortic.2011.893.99
   Papadopoulos AP, 1997, SCI HORTIC-AMSTERDAM, V68, P113, DOI 10.1016/S0304-4238(96)00961-2
   Papadopoulos AP, 1997, SCI HORTIC-AMSTERDAM, V70, P165, DOI 10.1016/S0304-4238(97)00054-X
   Raviv M, 2004, PHOTOCHEM PHOTOBIOL, V79, P219, DOI 10.1562/SI-03-14.1
   Shahak Y, 2008, ACTA HORTIC, P75, DOI 10.17660/ActaHortic.2008.797.8
NR 7
TC 1
Z9 1
U1 0
U2 4
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-94-62610-00-2
J9 ACTA HORTIC
PY 2014
VL 1015
BP 259
EP 262
DI 10.17660/ActaHortic.2014.1015.28
PG 4
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BA2HA
UT WOS:000333392700028
DA 2025-01-10
ER

PT J
AU Zhao, XS
   Thomas, I
   Salem, A
   Alassal, SE
   Liu, Y
   Sun, QL
   Chen, J
   Ma, FW
   Finlayson, B
   Chen, ZY
AF Zhao, Xiaoshuang
   Thomas, Ian
   Salem, Alaa
   Alassal, Said E.
   Liu, Yan
   Sun, Qianli
   Chen, Jing
   Ma, Fuwei
   Finlayson, Brian
   Chen, Zhongyuan
TI Holocene climate change and its influence on early agriculture in the
   Nile Delta, Egypt
SO PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
LA English
DT Article
DE Pollen-spore; Cultural transformation; Agricultural adaptation; Nile
   flow; ITCZ; Holocene climate
ID POLLEN GRAINS; EAST-AFRICAN; MANAGEMENT; RESPONSES; PLANTS; SWAMP; CAVE
AB To investigate how Holocene climate patterns influenced the development of early Egyptian agriculture at the archaeological site of Sais on the Nile Delta, we conducted a palynological study. Seven palynological zones were defined to reveal Holocene climate fluctuations. Zone I (ca. 9000-7000 cal yr BP) was a period of warming climate, succeeded by a progressive drying climate phase in Zones II-VII (ca. 7000-2000 cal yr BP). Pollen records indicate Nile flooding prevailed before 7000 years ago, making the study area uninhabitable, before it later developed into a wetland setting. The earliest farming started at ca. 6700 cal yr BP, as indicated by the abrupt appearance of cereal (Poaceae > 35 mu m), during a time of climate warming (Zone III), This material can be differentiated from wild Poaceae (< 35 mu m), which occurs throughout the profile, indicating the cereal was introduced to this area for agriculture. Results further reveal the transformation of human activities, from passive adaptation to climate, to actively remolding the environment against the background of long-term drying. During the early farming stage (ca. 6700-5500 cal yr BP), climate-human indicators were synchronous in distribution, suggesting lower pressure from climate change on population growth; however, this reversed from ca. 5500 cal yr BP, as intensive agriculture was required to meet shortages of natural resources during climate drying. Perhaps, the best evidence for adaptation is the increased abundance of Azolla from ca. 4000 years ago, a fern that favours growing in still-water bodies, hinting that much more irrigation was required at the time to sustain societal development.
C1 [Zhao, Xiaoshuang; Liu, Yan; Sun, Qianli; Chen, Jing; Ma, Fuwei; Chen, Zhongyuan] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200060, Peoples R China.
   [Thomas, Ian; Finlayson, Brian] Univ Melbourne, Sch Geog, Melbourne, Vic 3010, Australia.
   [Salem, Alaa] Kafrelsheikh Univ, Fac Sci, Kafrelsheikh, Egypt.
   [Alassal, Said E.] Minist Antiqu, Supreme Council Antiqu, Cairo, Egypt.
C3 East China Normal University; University of Melbourne; Egyptian
   Knowledge Bank (EKB); Kafrelsheikh University; Ministry of Tourism &
   Antiquities (Egypt)
RP Liu, Y; Chen, ZY (corresponding author), East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200060, Peoples R China.
EM liuyan@sklec.ecnu.edu.cn; z.chen@sklec.ecnu.edu.cn
RI Qianli, Sun/GYU-4636-2022; Chen, Zhong Yuan/JRW-5575-2023; Thomas,
   Ian/C-7791-2019; Li, xiaofei/GXF-7187-2022
OI Zhao, Xiaoshuang/0000-0002-1924-9389; Liu, Yan/0000-0003-3521-4650
FU National Natural Science Foundation of China [41620104004]
FX The authors are deeply in debt to Prof. P. Wilson and Prof. C. Morhange
   who kindly lend us their sampling tools during the fieldwork. We would
   thank Miss Hadeer Sheisha for her generous help in pollenspore
   identification. Thanks should be also extended to the Ministry of
   Antiquities, Egypt for permission to conduct fieldwork. Part of sediment
   analysis was done in the laboratory of Faculty of Science, Kafrelsheikh
   University, Egypt, and School of Geography, The University of Melbourne,
   Australia. This research project was financially supported by National
   Natural Science Foundation of China (No. 41620104004).
CR Andersen S.T., 1979, Identification of Wild Grass and Cereal Pollen
   [Anonymous], 1981, The Geological Evolution of the River Nile
   [Anonymous], 2016, WETLAND INDICATORS G
   [Anonymous], [No title captured]
   [Anonymous], ACTA HUMANIORA
   [Anonymous], 2011, PRINCIPAL COMPONENT, DOI DOI 10.1007/978-3-642-04898-2_455
   [Anonymous], [No title captured]
   Azzazy MF, 2011, PLANT SYST EVOL, V294, P239, DOI 10.1007/s00606-011-0460-0
   Behre KE., 1981, POLLEN SPORES, V23, P225245
   Blaauw M, 2010, QUAT GEOCHRONOL, V5, P512, DOI 10.1016/j.quageo.2010.01.002
   BUTZER KW, 1960, SCIENCE, V132, P1617, DOI 10.1126/science.132.3440.1617
   CHEDDADI R, 1995, PALEOCEANOGRAPHY, V10, P301, DOI 10.1029/94PA02673
   CLARK JD, 1971, P PREHIST SOC, V37, P34, DOI 10.1017/S0079497X0001255X
   Day JW, 2007, SCIENCE, V315, P1679, DOI 10.1126/science.1137030
   deMenocal P, 2000, QUATERNARY SCI REV, V19, P347, DOI 10.1016/S0277-3791(99)00081-5
   deMenocal PB, 2001, SCIENCE, V292, P667, DOI 10.1126/science.1059827
   Drysdale R, 2006, GEOLOGY, V34, P101, DOI 10.1130/G22103.1
   Gosling WD, 2013, REV PALAEOBOT PALYNO, V199, P1, DOI 10.1016/j.revpalbo.2013.01.003
   Grimm E.C., 1991, Tilia and Tiliagraph, P101
   GRIMM EC, 1987, COMPUT GEOSCI, V13, P13, DOI 10.1016/0098-3004(87)90022-7
   Hassan FA, 1997, WORLD ARCHAEOL, V29, P51, DOI 10.1080/00438243.1997.9980363
   Jerolmack DJ, 2009, QUATERNARY SCI REV, V28, P1786, DOI 10.1016/j.quascirev.2009.02.015
   Joly C, 2007, REV PALAEOBOT PALYNO, V146, P221, DOI 10.1016/j.revpalbo.2007.04.003
   KISLEV ME, 1988, CURR ANTHROPOL, V29, P175, DOI 10.1086/203623
   Kraybill N., 1977, ORIGINS AGR, P485, DOI [DOI 10.1515/9783110813487.485, 10.1515/9783110813487.485]
   Leroy S.A.G., 1992, Vegetation History and Archaeobotany, V1, P43, DOI 10.1007/BF00190700
   Li YY, 2008, CHINESE SCI BULL, V53, P1281, DOI 10.1007/s11434-008-0181-0
   Marriner N, 2012, QUATERNARY SCI REV, V45, P73, DOI 10.1016/j.quascirev.2012.04.022
   Messager E, 2011, QUATERNARY SCI REV, V30, P1439, DOI 10.1016/j.quascirev.2010.09.008
   Moore P.D., 1994, Pollen Analysis
   Nicoll K, 2004, QUATERNARY SCI REV, V23, P561, DOI 10.1016/j.quascirev.2003.10.004
   Pennington BT, 2017, QUATERNARY SCI REV, V170, P212, DOI 10.1016/j.quascirev.2017.06.017
   Pohl M.D., 1996, LAT AM ANTIQ, V7, P355
   Reimer PJ, 2013, RADIOCARBON, V55, P1869, DOI 10.2458/azu_js_rc.55.16947
   Revel M, 2010, QUATERNARY SCI REV, V29, P1342, DOI 10.1016/j.quascirev.2010.02.006
   Rossignol-Strick M., 1972, INITIAL REPORTS DEEP, V13, P971
   Sadori L, 2011, HOLOCENE, V21, P117, DOI 10.1177/0959683610377530
   Schüler L, 2016, QUATERN INT, V425, P301, DOI 10.1016/j.quaint.2016.07.038
   Scott L, 2005, QUATERN INT, V129, P49, DOI 10.1016/j.quaint.2004.04.006
   Shirai N., 2010, The Archaeology of the First Farmer-Herders in Egypt: New Insights into the Fayun Epipalaeolithic and Neolithic
   Slingo J, 2005, PHILOS T R SOC A, V363, P25, DOI 10.1098/rsta.2004.1473
   STANLEY DJ, 1994, SCIENCE, V265, P228, DOI 10.1126/science.265.5169.228
   Staubwasser M, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016822
   Tweddle JC, 2005, VEG HIST ARCHAEOBOT, V14, P15, DOI 10.1007/s00334-005-0064-0
   Vetter T, 2014, GEOMORPHOLOGY, V212, P41, DOI 10.1016/j.geomorph.2013.10.002
   Vizy EK, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2003JD003452
   Wilson P, 1998, J EGYPT ARCHAEOL, V84, P1, DOI 10.2307/3822201
   Wilson P, 2006, J EGYPT ARCHAEOL, V92, P75
   Zohary D, 2012, DOMESTICATION OF PLANTS IN THE OLD WORLD: THE ORIGIN AND SPREAD OF DOMESTICATED PLANTS IN SOUTH-WEST ASIA, EUROPE, AND THE MEDITERRANEAN BASIN, 4TH EDITION, P1, DOI 10.1093/acprof:osobl/9780199549061.001.0001
   Zohary D., 2000, Domestication of Plants in the Old World-the Origin and Spread of Cultivated Plants in West Asia, Europe, and the Nile Valley, Vthird
   Zong Y, 2007, NATURE, V449, P459, DOI 10.1038/nature06135
NR 51
TC 14
Z9 14
U1 4
U2 39
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0031-0182
EI 1872-616X
J9 PALAEOGEOGR PALAEOCL
JI Paleogeogr. Paleoclimatol. Paleoecol.
PD JUN 1
PY 2020
VL 547
AR 109702
DI 10.1016/j.palaeo.2020.109702
PG 9
WC Geography, Physical; Geosciences, Multidisciplinary; Paleontology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology; Paleontology
GA LG6KD
UT WOS:000528206600006
DA 2025-01-10
ER

PT C
AU Oluwatayo, IB
AF Oluwatayo, Isaac B.
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI Livelihood Options as Adaptation to Climate Variability Among Households
   in Rural Southwest Nigeria: Emerging Concerns and Reactions
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 Adaptation; Climate change; Food security; Livelihood options; Rural
   Nigeria
AB Climate variability is no doubt one of the greatest challenges facing inhabitants of sub-Sahara African countries, and especially those relying on agriculture as their primary source of livelihood. This is not unconnected with the fact that agriculture, a climate-dependent and climate-controlled livelihood source, remains the largest employer of labour in these countries. This study examined the activities engaged in by farming households in rural southwest Nigeria as a way of mitigating climate variability shocks. Data was collected through a questionnaire administered to a random sample of 250 households in rural Nigeria. Analytical methods employed include descriptive statistics and tobit regression model. A descriptive analysis of respondents' socioeconomic characteristics revealed their average age to be 52 years with only about one-third having tertiary education. Results indicated a noticeable shift in farming household activities, where livelihood options embraced to cushion climate variability include 'okada' riding ( motorcycle passenger transport), attending political rallies, taking up menial jobs in neighbouring communities, trading, and migrating to city centres in search of paid jobs. However, this development is already taking its toll on food security status of residents in terms of availability and affordability. Results of a Tobit model revealed a positive and statistically significant correlation between the livelihood options harnessed and age, years of formal education, income, membership of social group, as well as access to credit. However, negative and significant relationships were found between the livelihood options harnessed and household size and poverty status of respondents. Suggested policy prescriptions include investment in capacity building of farming households so as to enhance their earning potential and effort should be geared at encouraging cooperative activities since this can help in sharing and mitigating covariate shocks like climate change.
C1 [Oluwatayo, Isaac B.] Univ Limpopo, Sch Agr & Environm Sci, Dept Agr Econ & Anim Prod, ZA-0727 Sovenga, South Africa.
C3 University of Limpopo
RP Oluwatayo, IB (corresponding author), Univ Limpopo, Sch Agr & Environm Sci, Dept Agr Econ & Anim Prod, ZA-0727 Sovenga, South Africa.
EM isaacoluwatayo@yahoo.com
CR Abiodun BJ, 2011, CLIMATE CHANGE SCENA, P1
   Adebayo AA., 2013, Int J Environ Ecol Fam Urban Stud, V3, P11
   Ademola AO, 2012, J AGR EXT RURAL DEV, V4, P4
   Adeoti A. I., 2010, Journal of Human Ecology, V32, P161
   [Anonymous], 2014, J GEOGR REG PLANN
   [Anonymous], 2013, INT C CLIM CHANG EFF
   Anyanwu JC, 2013, AFRICAN DEV BANK AFD, V180
   Apata TG, 2011, J ENV EC, V2, P1
   Farauta BK, 2012, J AGR EXT, V16, P1
   Fatuase AI, 2015, WORLD RURAL OBSERV, V7, P1
   Ogbo AI, 2012, SACHA J ENV STUD, V2, P1
   Ogundipe GAT, 2014, COMMUNICATION   0904, P14
   Oluwatayo IB, 2009, REV INT C I DEV STUD
   Oluwatayo IB, 2009, 41 IESE, P8
   Oluwatayo IB, 2014, MEDITERRANEAN J SOC, V5, P1
   Oyekale SO, 2009, ELECT J ENV AGR FOOD, V8, P1
NR 16
TC 1
Z9 1
U1 0
U2 3
PU SPRINGER INT PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 267
EP 275
DI 10.1007/978-3-319-28591-7_15
PG 9
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:000390838100015
DA 2025-01-10
ER

PT C
AU Pottgiesser, U
AF Pottgiesser, U.
BE Brebbia, CA
TI Revitalisation strategies for modern glass facades of the
   20<SUP>th</SUP> century
SO STRUCTURAL STUDIES, REPAIRS AND MAINTENANCE OF HERITAGE ARCHITECTURE XI
SE WIT Transactions on the Built Environment
LA English
DT Proceedings Paper
CT 11th International Conference on Structural Studies, Repairs and
   Maintenance of Heritage Architecture
CY JUL 22-24, 2009
CL Tallinn, ESTONIA
SP Wessex Inst Technol, WIT Transact Built Environm
DE modern heritage; glass facades; windows; steel profiles; energy
   efficiency; environmental qualities; original architectural concept
AB Modern glass facades of the early and mid 20(th) century have always been synonymous with innovative and sophisticated building concepts. These building skins were often established as a feature reflecting international stylistic standards, enhancing the prestige of builders and occupants - although often independent from or even in contradiction with climatic requirements and local conditions. In particular, in Central Europe varying strategies for the revitalisation of modern glass walls, facades and windows have been developed and realised.
   Multi-storey and high-rise buildings from the 1950s and 1960s, such as Haus Hardenberg by Paul Schwebes (1955-56) and Europa-Centre by Helmut Hentrich and Huber Petschnigg (1965), both in Berlin, are typical facade constructions. The very diverse approaches of revitalisation of Haus Hardenberg and the Europa-Centre will serve as examples to be compared and described with regard to different planning and decision frameworks. Both buildings have passed through certain episodes of modification and revitalisation. Both are preserving their original appearance, but while the original facade construction of Haus Hardenberg has been maintained and modified, the single glass facade of the Europa-Centre has been totally changed into a double facade system. The architectural design, construction, functions and environmental qualities will be described and evaluated with regard to the original concepts and requirements.
   These buildings will be presented addressing their impact on the refurbishment of modern building skins in general and in relation to increasing energetic requirements. In this context newly developed steel profiles have been investigated to be used as an alternative for the revitalisation of protected facade constructions. The way in which Modern Movement buildings in other countries and continents can be adapted to climatic and socio-economic conditions will also be discussed.
RI Pottgiesser, Uta/D-9925-2017
OI Pottgiesser, Uta/0000-0002-8594-3168
CR Banham Reyner., 1969, ARCHITECTURE WELL TE
   DORSEMAGEN D, 2004, THESUS TU BERLIN ARC
   FERNANDEZ V, 2002, FACADE VITREE UNESCO
   KELLEY SJ, 1997, CURTAIN WALL REFURBI, P16
   LEMOINE B, 2000, FRANKREICH, V20, P74
   POTTGIESSER U, 2008, P 10 INT DOCOMOMO C, P331
   POTTGIESSER U, 2008, INNOVATIVE FASSADENT, P3
   PRUDON THM, 2008, PRESERVATION MODERN, P20
NR 8
TC 1
Z9 1
U1 0
U2 6
PU WIT PRESS
PI SOUTHAMPTON
PA ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND
SN 1746-4498
BN 978-1-84564-196-2
J9 WIT TRANS BUILT ENV
PY 2009
VL 109
BP 569
EP 580
DI 10.2495/STR090501
PG 12
WC Archaeology; Architecture; Construction & Building Technology;
   Engineering, Environmental; Engineering, Civil; Materials Science,
   Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Archaeology; Architecture; Construction & Building Technology;
   Engineering; Materials Science
GA BLZ76
UT WOS:000271615400050
OA Bronze
DA 2025-01-10
ER

PT J
AU Atkinson, A
   Rossberg, AG
   Gaedke, U
   Sprules, G
   Heneghan, RF
   Batziakas, S
   Grigoratou, M
   Fileman, E
   Schmidt, K
   Frangoulis, C
AF Atkinson, Angus
   Rossberg, Axel G.
   Gaedke, Ursula
   Sprules, Gary
   Heneghan, Ryan F.
   Batziakas, Stratos
   Grigoratou, Maria
   Fileman, Elaine
   Schmidt, Katrin
   Frangoulis, Constantin
TI Steeper size spectra with decreasing phytoplankton biomass indicate
   strong trophic amplification and future fish declines
SO NATURE COMMUNICATIONS
LA English
DT Article
ID CLIMATE-CHANGE; MARINE; ECOSYSTEM; PLANKTON; PRODUCTIVITY; COMMUNITIES;
   ENERGY; MODEL; WATER; SEA
AB Under climate change, model ensembles suggest that declines in phytoplankton biomass amplify into greater reductions at higher trophic levels, with serious implications for fisheries and carbon storage. However, the extent and mechanisms of this trophic amplification vary greatly among models, and validation is problematic. In situ size spectra offer a novel alternative, comparing biomass of small and larger organisms to quantify the net efficiency of energy transfer through natural food webs that are already challenged with multiple climate change stressors. Our global compilation of pelagic size spectrum slopes supports trophic amplification empirically, independently from model simulations. Thus, even a modest (16%) decline in phytoplankton this century would magnify into a 38% decline in supportable biomass of fish within the intensively-fished mid-latitude ocean. We also show that this amplification stems not from thermal controls on consumers, but mainly from temperature or nutrient controls that structure the phytoplankton baseline of the food web. The lack of evidence for direct thermal effects on size structure contrasts with most current thinking, based often on more acute stress experiments or shorter-timescale responses. Our synthesis of size spectra integrates these short-term dynamics, revealing the net efficiency of food webs acclimating and adapting to climatic stressors.
   Using a global synthesis of size spectra data from pelagic food webs, this study finds that size structure is not driven by temperature as often suggested, but by the nutrient status of the system. This means that modest phytoplankton declines projected for key fishing grounds at mid-latitudes will amplify into substantial reductions in the supportable biomass of fish.
C1 [Atkinson, Angus; Fileman, Elaine] Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, England.
   [Rossberg, Axel G.] Queen Mary Univ London, Sch Biol & Behav Sci, Mile End Rd, London E1 4NS, England.
   [Gaedke, Ursula] Univ Potsdam, Inst Biochem & Biol, D-14469 Potsdam, Germany.
   [Sprules, Gary] Univ Toronto Mississauga, Dept Biol, 3359 Mississauga Rd N, Mississauga, ON L5L 1C6, Canada.
   [Heneghan, Ryan F.] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld, Australia.
   [Batziakas, Stratos; Frangoulis, Constantin] Hellen Ctr Marine Res, POB 2214, GR-71003 Iraklion, Greece.
   [Grigoratou, Maria] Mercator Ocean Int, Toulouse, France.
   [Schmidt, Katrin] Univ Plymouth, Sch Geog Earth & Environm Sci, Plymouth PL4 8AA, England.
C3 Plymouth Marine Laboratory; University of London; Queen Mary University
   London; University of Potsdam; University of Toronto; University Toronto
   Mississauga; Queensland University of Technology (QUT); Hellenic Centre
   for Marine Research; University of Plymouth
RP Atkinson, A (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, England.
EM aat@pml.ac.uk
RI Fileman, Elaine/AAB-5002-2022; GRIGORATOU, MARIA/AAG-1663-2020;
   Rossberg, Axel/G-1179-2010
OI Sprules, William Gary/0000-0002-2683-8368; Rossberg,
   Axel/0000-0001-9014-3176; GRIGORATOU, MARIA/0000-0003-0484-1408;
   Batziakas, Stratos/0000-0002-2797-9509; Heneghan,
   Ryan/0000-0001-7626-1248; Fileman, Elaine/0000-0002-7795-7535
FU RCUK | Natural Environment Research Council (NERC) [DEFRA: NC34 -
   Pelagic Program]; UK Natural Environment Research Council (NERC) CLASS
   Theme 1.3 and FOCUS programmes; DEFRA's marine Natural Capital and
   Ecosystem Assessment (mNCEA) Programme Marine Natural Capital and
   Ecosystem Assessment [NE/T003510/1]; NERC; NERC SYM-PEL [SFB 248]; DFG
   [456040]; Natural Sciences and Engineering Research Council of Canada
   Discovery (NSERC); NERC [NE/S002502/1, NE/T003510/1, NE/R015953/1,
   pml010004] Funding Source: UKRI
FX This paper arose from the international size spectrum reading group
   SPECTRE and initial data compilation of Martin Lilley. Data were kindly
   provided by Elvira de Eyto, Allison Puhl, Mark Fitzpatrick, Tim Johnson,
   Stephanie Guildford, Eddie Allison, Trevor Middel, Brian Shuter, Ann
   Zimmerman, Rita Adrian and Angelika Seifried. Funding: UK Natural
   Environment Research Council (NERC) CLASS Theme 1.3 and FOCUS programmes
   (A.A. and E.F.); DEFRA: NC34 - Pelagic Program, part of DEFRA's marine
   Natural Capital and Ecosystem Assessment (mNCEA) Programme Marine
   Natural Capital and Ecosystem Assessment (A.A.); NERC NE/T003510/1
   (AGR); NERC SYM-PEL (K.S.); DFG, SFB 248 (U.G.); Natural Sciences and
   Engineering Research Council of Canada Discovery (NSERC) Grant No.
   456040 (WGS).
CR Andersen K. H., 2019, Fish Ecology, Evolution, and Exploitation. A New Theoretical Synthesis, P15
   [Anonymous], 2008, A mechanistic approach to plankton ecology
   Atkinson A, 2021, LIMNOL OCEANOGR, V66, P422, DOI 10.1002/lno.11613
   Barange M, 2014, NAT CLIM CHANGE, V4, P211, DOI [10.1038/nclimate2119, 10.1038/NCLIMATE2119]
   Barneche DR, 2021, NATURE, V592, P76, DOI 10.1038/s41586-021-03352-2
   Barnes C, 2010, ECOLOGY, V91, P222, DOI 10.1890/08-2061.1
   Batziakas S, 2020, J PLANKTON RES, V42, P752, DOI 10.1093/plankt/fbaa055
   Beaugrand G, 2018, ANNU REV MAR SCI, V10, P169, DOI 10.1146/annurev-marine-121916-063304
   Blanchard JL, 2017, TRENDS ECOL EVOL, V32, P174, DOI 10.1016/j.tree.2016.12.003
   Blanchard JL, 2012, PHILOS T R SOC B, V367, P2979, DOI 10.1098/rstb.2012.0231
   Boyd PW, 2019, NATURE, V568, P327, DOI 10.1038/s41586-019-1098-2
   Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
   Capuzzo E, 2018, GLOBAL CHANGE BIOL, V24, pE352, DOI 10.1111/gcb.13916
   Carozza DA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169763
   Chang CW, 2014, ECOLOGY, V95, P897, DOI 10.1890/13-0742.1
   Cheung WWL, 2016, ICES J MAR SCI, V73, P1283, DOI 10.1093/icesjms/fsv250
   Dam HG, 2021, NAT CLIM CHANGE, V11, P780, DOI 10.1038/s41558-021-01131-5
   du Pontavice H, 2021, GLOBAL CHANGE BIOL, V27, P2608, DOI 10.1111/gcb.15576
   du Pontavice H, 2020, GLOBAL CHANGE BIOL, V26, P1306, DOI 10.1111/gcb.14944
   Eddy TD, 2021, TRENDS ECOL EVOL, V36, P76, DOI 10.1016/j.tree.2020.09.006
   Elton C., 1927, Animal ecology
   Everett J. D., PREPRINT
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Flynn KJ, 2020, J PLANKTON RES, V42, P497, DOI 10.1093/plankt/fbaa038
   Gaedke U, 2004, INT REV HYDROBIOL, V89, P1, DOI 10.1002/iroh.200310661
   GAEDKE U, 1992, LIMNOL OCEANOGR, V37, P1202, DOI 10.4319/lo.1992.37.6.1202
   García-Comas C, 2014, PROG OCEANOGR, V121, P141, DOI 10.1016/j.pocean.2013.10.010
   HANSEN B, 1994, LIMNOL OCEANOGR, V39, P395, DOI 10.4319/lo.1994.39.2.0395
   Hatton IA, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abh3732
   Heneghan RF, 2021, PROG OCEANOGR, V198, DOI 10.1016/j.pocean.2021.102659
   Heneghan RF, 2020, ECOL MODEL, V435, DOI 10.1016/j.ecolmodel.2020.109265
   Heneghan RF, 2019, EMERG TOP LIFE SCI, V3, P233, DOI 10.1042/ETLS20190042
   Jennings S, 2003, ECOL LETT, V6, P971, DOI 10.1046/j.1461-0248.2003.00529.x
   Jennings S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133794
   Kearney KA, 2013, MAR ECOL PROG SER, V491, P1, DOI 10.3354/meps10484
   Kenitz KM, 2019, ECOSYSTEMS, V22, P968, DOI 10.1007/s10021-018-0314-5
   Kordas RL, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29808-1
   Kwiatkowski L, 2019, GLOBAL CHANGE BIOL, V25, P218, DOI 10.1111/gcb.14468
   Lotze HK, 2019, P NATL ACAD SCI USA, V116, P12907, DOI 10.1073/pnas.1900194116
   Martin ES, 2006, LIMNOL OCEANOGR, V51, P2084
   Maury O, 2013, J THEOR BIOL, V324, P52, DOI 10.1016/j.jtbi.2013.01.018
   Mehner T, 2018, ECOLOGY, V99, P1463, DOI 10.1002/ecy.2347
   O'Gorman EJ, 2017, NAT CLIM CHANGE, V7, P659, DOI [10.1038/nclimate3368, 10.1038/NCLIMATE3368]
   Petrik CM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.588482
   Petrik CM, 2019, PROG OCEANOGR, V176, DOI 10.1016/j.pocean.2019.102124
   Platt T., 1978, Rapports et Proces-Verbaux des Reunions Conseil International pour l'Exploration de la Mer, V173, P60
   Pomati F, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03155
   Posit team, 2022, RStudio: Integrated Development Environment for R
   Quinones RA, 2003, PROG OCEANOGR, V57, P405, DOI 10.1016/S0079-6611(03)00108-3
   Richardson AJ, 2008, ICES J MAR SCI, V65, P279, DOI 10.1093/icesjms/fsn028
   Rossberg AG, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12289-0
   Rossberg AG, 2012, ADV ECOL RES, V46, P427, DOI 10.1016/B978-0-12-396992-7.00008-3
   Saiz E, 2022, J PLANKTON RES, V44, P427, DOI 10.1093/plankt/fbac017
   Schlitzer R., 2005, Ocean data view
   Schmidt K, 2020, GLOBAL CHANGE BIOL, V26, P5574, DOI 10.1111/gcb.15161
   Serra-Pompei C, 2022, GLOBAL BIOGEOCHEM CY, V36, DOI 10.1029/2021GB007275
   SHELDON RW, 1972, LIMNOL OCEANOGR, V17, P327, DOI 10.4319/lo.1972.17.3.0327
   SPRULES WG, 1986, CAN J FISH AQUAT SCI, V43, P1789, DOI 10.1139/f86-222
   Sprules WG, 2016, CAN J FISH AQUAT SCI, V73, P477, DOI 10.1139/cjfas-2015-0115
   Stock CA, 2014, BIOGEOSCIENCES, V11, P7125, DOI 10.5194/bg-11-7125-2014
   Stock CA, 2017, P NATL ACAD SCI USA, V114, pE1441, DOI 10.1073/pnas.1610238114
   Tarling GA, 2012, DEEP-SEA RES PT II, V59, P222, DOI 10.1016/j.dsr2.2011.07.002
   Tittensor DP, 2021, NAT CLIM CHANGE, V11, P973, DOI 10.1038/s41558-021-01173-9
   Widdicombe Claire E, 2021, BODC, DOI 10.5285/C9386B5C-B459-782F-E053-6C86ABC0D129
   Yurista PM, 2014, CAN J FISH AQUAT SCI, V71, P1324, DOI 10.1139/cjfas-2013-0596
   Yvon-Durocher G, 2011, GLOBAL CHANGE BIOL, V17, P1681, DOI 10.1111/j.1365-2486.2010.02321.x
NR 66
TC 7
Z9 7
U1 10
U2 36
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JAN 9
PY 2024
VL 15
IS 1
AR 381
DI 10.1038/s41467-023-44406-5
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EN2K4
UT WOS:001139536800013
PM 38195697
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wang, S
   Li, B
   Zhu, HH
   Liao, WJ
   Wu, C
   Zhang, Q
   Tang, KZ
   Cui, HJ
AF Wang, Shuai
   Li, Bo
   Zhu, Hanhua
   Liao, Wenjuan
   Wu, Cong
   Zhang, Quan
   Tang, Kaizhao
   Cui, Haojie
TI Energy Sorghum Removal of Soil Cadmium in Chinese Subtropical Farmland:
   Effects of Variety and Cropping System
SO AGRONOMY-BASEL
LA English
DT Article
DE energy sorghum; phytoremediation; Cd; regeneration cropping system
ID BICOLOR L. MOENCH; BIOMASS SORGHUM; USE EFFICIENCY; ACCUMULATION; YIELD;
   GENOTYPES; PRODUCTIVITY; TEMPERATURE; TOLERANCE; RESPONSES
AB Planting energy sorghum to remove soil cadmium (Cd) has been selected as an effective phytoremediation method in subtropical farmland in China in recent years. Nevertheless, the effects of energy sorghum species and cropping systems on Cd removal by energy sorghum are still not fully understood. In the present work, biomass sorghum (BS) and sweet sorghum (SS) were planted for screening varieties and comparing the applicability of cropping systems to remove Cd from contaminated soils through batch field experiments. The results indicated that BS had a higher plant height (4.70-75.63%), lower water content in the shoot (4.78-13.49%), greater dry biomass yield (13.21-125.16%), and stronger Cd removal (average 45.71%) compared with SS. Significant differences (p < 0.05) were observed in the agronomic traits and Cd accumulation of energy sorghums with genetic regulation of varieties. Pearson correlation coefficients analysis and the structural equation model (SEM) showed that plant height was the crucial agronomic parameter affecting the dry biomass yield, and Cd concentration in the stem was the key factor for evaluating the Cd extraction ability of energy sorghums, which indirectly determined the removal of Cd by energy sorghum together. Furthermore, the regeneration cropping system was the most suitable because of the adaptation to climatic conditions of energy sorghums in subtropical regions of China, and its Cd removal efficiency increased by more than 49% compared with double cropping and single cropping systems, respectively. Our study provides valuable information for the phytoremediation of Cd-contaminated soil in Chinese subtropical farmland.
C1 [Wang, Shuai; Li, Bo; Zhu, Hanhua; Zhang, Quan] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China.
   [Wang, Shuai; Liao, Wenjuan; Wu, Cong; Tang, Kaizhao; Cui, Haojie] Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Subtropical Agriculture, CAS;
   Hunan Agricultural University
RP Zhu, HH (corresponding author), Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China.; Cui, HJ (corresponding author), Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China.
EM ws_2022@stu.hunau.edu.cn; lb89@isa.ac.cn; hhzhu@isa.ac.cn;
   13207124692@163.com; wucong18273062905@stu.hunau.edu.cn;
   quanzhang@isa.ac.cn; tangkaizhao@stu.hunan.edu.cn; hjcui@hunau.edu.cn
RI Cui, Haojie/E-2988-2010
FU National Key Research and Development Program of China [2022YFD1700105]
FX The National Key Research and Development Program of China
   (2022YFD1700105).
CR [Anonymous], 2018, GB 15618-2018
   Ardiyanti S. E., 2019, IOP Conference Series: Earth and Environmental Science, V399, DOI 10.1088/1755-1315/399/1/012030
   Assefa Yared., 2004, Crop Management, DOI [DOI 10.1094/CM-2010-1109-01-RV, 10.1094/cm-2010-1109-01-rv]
   Barbanti L, 2015, ITAL J AGRON, V10, P208, DOI 10.4081/ija.2015.673
   Bekele WA, 2014, PLANT CELL ENVIRON, V37, P707, DOI 10.1111/pce.12189
   Diallo B, 2019, IND CROP PROD, V137, P221, DOI 10.1016/j.indcrop.2019.05.030
   Ercoli L, 2004, EUR J AGRON, V21, P93, DOI 10.1016/S1161-0301(03)00093-5
   Feng JJ, 2018, PLANT BIOTECHNOL J, V16, P558, DOI 10.1111/pbi.12795
   Fuad A., 2017, J. Plant Sci, V5, P75
   Habyarimana E, 2004, IND CROP PROD, V20, P3, DOI 10.1016/j.indcrop.2003.12.020
   Han KJ, 2012, AGRON J, V104, P1618, DOI 10.2134/agronj2012.0213
   Huang HG, 2011, BIORESOURCE TECHNOL, V102, P11034, DOI 10.1016/j.biortech.2011.09.067
   Jia WT, 2017, ECOTOX ENVIRON SAFE, V145, P391, DOI 10.1016/j.ecoenv.2017.07.002
   Li B, 2021, ECOTOX ENVIRON SAFE, V225, DOI 10.1016/j.ecoenv.2021.112773
   Li B, 2021, CHEMOSPHERE, V263, DOI 10.1016/j.chemosphere.2020.128136
   Liang HM, 2009, ENVIRON POLLUT, V157, P1945, DOI 10.1016/j.envpol.2008.11.052
   Liu ZQ, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.123002
   Lu R.K., 1999, Physic-Chemistry Analysis of Soil, P115
   Maw MJW, 2017, AGRON J, V109, P115, DOI 10.2134/agronj2016.01.0044
   Mirahki I, 2023, GESUNDE PFLANZ, V75, P1963, DOI 10.1007/s10343-022-00822-z
   Mirahki Isaac, 2021, Acta Biologica Szegediensis, V65, P171, DOI 10.14232/abs.2021.2.171-184
   Murphy RL, 2011, P NATL ACAD SCI USA, V108, P16469, DOI 10.1073/pnas.1106212108
   Nematpour A, 2020, GRASS FORAGE SCI, V75, P169, DOI 10.1111/gfs.12475
   Olson SN, 2012, BIOFUEL BIOPROD BIOR, V6, P640, DOI 10.1002/bbb.1357
   Paesal, 2021, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/911/1/012035
   Rao PS, 2013, SUGAR TECH, V15, P278, DOI 10.1007/s12355-013-0231-z
   Rocateli AC, 2012, IND CROP PROD, V36, P589, DOI 10.1016/j.indcrop.2011.11.007
   Sadafzadeh E, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12162985
   Sher A, 2011, AFR J AGR RES, V6, P6232, DOI 10.5897/AJAR11.637
   Shi GR, 2009, BIOTECHNOL ADV, V27, P555, DOI 10.1016/j.biotechadv.2009.04.006
   Song Y, 2017, INT J PHYTOREMEDIAT, V19, P133, DOI 10.1080/15226514.2016.1207598
   Soudek P, 2014, CHEMOSPHERE, V104, P15, DOI 10.1016/j.chemosphere.2013.09.079
   Syuryawati, 2021, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/911/1/012077
   Tian YL, 2015, INT J GREEN ENERGY, V12, P577, DOI 10.1080/15435075.2013.871722
   Tsuboi K, 2017, CROP SCI, V57, P22, DOI 10.2135/cropsci2016.01.0069
   Vamerali T, 2010, ENVIRON CHEM LETT, V8, P1, DOI 10.1007/s10311-009-0268-0
   Wang HN, 2023, ENVIRON EXP BOT, V214, DOI 10.1016/j.envexpbot.2023.105478
   Wang S, 2021, AGR ECOSYST ENVIRON, V315, DOI 10.1016/j.agee.2021.107446
   Wang S, 2021, ECOTOX ENVIRON SAFE, V214, DOI 10.1016/j.ecoenv.2021.112019
   Wei SH, 2008, J HAZARD MATER, V150, P662, DOI 10.1016/j.jhazmat.2007.05.014
   Xiao MZ, 2021, IND CROP PROD, V162, DOI 10.1016/j.indcrop.2021.113299
   Yuan XZ, 2019, CHEMOSPHERE, V237, DOI 10.1016/j.chemosphere.2019.124536
   Zhan MJ, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/6927045
   Zhang XY, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135182
   Zhao JC, 2020, INT J CLIMATOL, V40, P6629, DOI 10.1002/joc.6603
   Zhou Y, 2022, J INTEGR AGR, V21, P566, DOI 10.1016/S2095-3119(21)63841-8
   Zhou Y, 2022, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.778663
NR 47
TC 2
Z9 2
U1 3
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD OCT
PY 2023
VL 13
IS 10
AR 2487
DI 10.3390/agronomy13102487
PG 14
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA X6SE1
UT WOS:001099718600001
OA gold
DA 2025-01-10
ER

PT J
AU Bigard, A
   Romieu, C
   Ojeda, H
   Torregrosa, L
AF Bigard, Antoine
   Romieu, Charles
   Ojeda, Hernan
   Torregrosa, Laurent
TI The sugarless grape trait characterised by single berry phenotyping
SO OENO ONE
LA English
DT Article
DE Fleshy fruit; fruit development; ripening; sugars; acidity; climate
   warming
ID ORGANIC-ACIDS; PINOT-NOIR; VITIS; TEMPERATURE; ACCUMULATION; GROWTH;
   FRUITS; TEMPRANILLO; ADAPTATION; METABOLISM
AB In grape production, the selection of varieties well-adapted to climate fluctuations, especially warming, is based on achieving a balance between fruit sugars and acidity. In recent decades, temperature has been constantly rising during ripening causing excessive sugar concentrations and insufficient acidity in wine grapes in the warmest regions. There is thus an increasing interest in breeding new cultivars able to ripen at lower sugar concentration while preserving fruit acidity. However, the phenotyping of berry composition challenges both methodological and conceptual issues. Indeed, most authors predetermine either average harvest date, ripening duration, thermal time or even the hexoses concentration threshold itself to compare accessions at a hopefully similar ripe stage. In this study, we phenotyped the fruit development and composition of 6 genotypes, including 3 new disease-tolerant varieties known to produce wines with low alcoholic contents. The study was performed at single berry level from the end of the green growth stage to the end of phloem unloading, when water and solute contents reach a maximum per berry. The results confirm that sugarless genotypes achieve fruit ripening with 20-30 % less hexoses than the classical varieties, Grenache N and Merlot N, without impacting berry growth, total acidity or cation accumulation. The sugarless genotypes displayed a higher malic acid/tartaric acid balance than the other genotypes, but similar sucrose/H+ exchanges at the onset of ripening. Data suggest that the sugarless phenotype results from a specific plasticity in the relationship between growth and the turgor imposed by organic acid accumulation and sugar loading. This opens interesting perspectives for the understanding of the mechanism of grapevine berry growth and for breeding varieties that will cope better with climate warming.
C1 [Bigard, Antoine; Ojeda, Hernan; Torregrosa, Laurent] UE INRAE Pech Rouge, F-11430 Gruissan, France.
   [Bigard, Antoine; Romieu, Charles] Univ Montpellier, Inst Agro, AGAP, CIRAD,INRAE, F-34060 Montpellier, France.
   [Romieu, Charles] Inst Agro, GENOVIGNE, IFV, INRAE, 2 Pl P Viala, F-34060 Montpellier, France.
   [Torregrosa, Laurent] Univ Montpellier, Inst Agro, LEPSE, CIRAD,INRAE, F-34060 Montpellier, France.
C3 INRAE; Institut Agro; INRAE; CIRAD; Universite de Montpellier; INRAE;
   Institut Agro; INRAE; CIRAD; Institut Agro; Universite de Montpellier
RP Torregrosa, L (corresponding author), UE INRAE Pech Rouge, F-11430 Gruissan, France.; Torregrosa, L (corresponding author), Univ Montpellier, Inst Agro, LEPSE, CIRAD,INRAE, F-34060 Montpellier, France.
EM laurent.torregrosa@supagro.fr
RI romieu, charles/C-2115-2015
OI romieu, charles/0000-0003-2607-8335
CR Abbal P., 1992, Journal International des Sciences de la Vigne et du Vin, V26, P231
   Alem H, 2021, FOOD CHEM, V345, DOI 10.1016/j.foodchem.2020.128825
   Alessandrini M, 2017, J SCI FOOD AGR, V97, P2695, DOI 10.1002/jsfa.8093
   Amerine M. A., 1958, Vitis, V1, P224
   AMERINE M. A., 1965, AMER J ENOL VITICULT, V16, P29
   [Anonymous], 1984, Elements de physiologie de la vigne et de viticulture en general
   [Anonymous], 2004, REV OENOLOGUES
   [Anonymous], 2017, REV OENOLOGUES
   Antalick G, 2021, OENO ONE, V55, P131, DOI 10.20870/oeno-one.2021.55.2.4527
   Arrizabalaga M, 2018, PLANT SCI, V267, P74, DOI 10.1016/j.plantsci.2017.11.009
   Asproudi A, 2016, FOOD CHEM, V211, P947, DOI 10.1016/j.foodchem.2016.05.070
   Bigard A, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01175
   Bigard A, 2019, OENO ONE, V53, P709, DOI 10.20870/oeno-one.2019.53.4.2224
   Bigard A, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00455
   Bobeica N, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00382
   Burbidge CA, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.643024
   BUTTROSE MS, 1971, AM J ENOL VITICULT, V22, P71
   Castellarin SD, 2016, J EXP BOT, V67, P709, DOI 10.1093/jxb/erv483
   Ramos MC, 2021, OENO ONE, V55, P85, DOI 10.20870/oeno-one.2021.55.3.4695
   Conde C., 2007, FOOD, V1, P1
   Coombe B. G., 2000, Australian Journal of Grape and Wine Research, V6, P131, DOI 10.1111/j.1755-0238.2000.tb00171.x
   COOMBE BG, 1992, AM J ENOL VITICULT, V43, P101
   COOMBE BG, 1976, ANNU REV PLANT PHYS, V27, P207, DOI 10.1146/annurev.pp.27.060176.001231
   Cuéllar T, 2013, PLANT J, V73, P1006, DOI 10.1111/tpj.12092
   Dai ZW, 2011, AM J ENOL VITICULT, V62, P413, DOI 10.5344/ajev.2011.10116
   Doumouya S, 2014, AM J ENOL VITICULT, V65, P170, DOI 10.5344/ajev.2014.13062
   Duchêne E, 2012, AUST J GRAPE WINE R, V18, P319, DOI 10.1111/j.1755-0238.2012.00194.x
   Duchêne É, 2020, THEOR APPL GENET, V133, P993, DOI 10.1007/s00122-019-03524-9
   Famiani F, 2014, PLANT PHYSIOL BIOCH, V76, P52, DOI 10.1016/j.plaphy.2013.12.017
   Friend AP, 2009, AUST J GRAPE WINE R, V15, P166, DOI 10.1111/j.1755-0238.2009.00050.x
   Gouthu S, 2014, J EXP BOT, V65, P5889, DOI 10.1093/jxb/eru329
   Gutiérrez-Gamboa G, 2018, J SCI FOOD AGR, V98, P4268, DOI 10.1002/jsfa.8949
   HAWKER JS, 1976, AM J ENOL VITICULT, V27, P125
   Houel C, 2015, BMC PLANT BIOL, V15, DOI 10.1186/s12870-015-0588-0
   KLIEWER W. M., 1967, AMER J ENOL VITICULT, V18, P33
   KLIEWER WM, 1966, PLANT PHYSIOL, V41, P923, DOI 10.1104/pp.41.6.923
   KLIEWER WM, 1970, J AM SOC HORTIC SCI, V95, P766
   LANG A, 1989, J EXP BOT, V40, P1069, DOI 10.1093/jxb/40.10.1069
   Liang ZC, 2011, J FOOD SCI, V76, pC1231, DOI 10.1111/j.1750-3841.2011.02408.x
   Liu HF, 2007, EUPHYTICA, V153, P99, DOI 10.1007/s10681-006-9246-9
   Liu HF, 2006, J SCI FOOD AGR, V86, P1526, DOI 10.1002/jsfa.2541
   MATTHEWS MA, 1987, J AM SOC HORTIC SCI, V112, P314
   Ojeda H., 2017, Revue des oenologues et des techniques vitivinicoles et oenologicques: magazine trimestriel dinformation professionnelle, V44, P22
   Ollat N, 2019, ACTA HORTIC, V1248, P497, DOI 10.17660/ActaHortic.2019.1248.68
   Parker AK, 2020, AGR FOREST METEOROL, V285, DOI 10.1016/j.agrformet.2020.107902
   Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rienth M, 2016, BMC PLANT BIOL, V16, DOI 10.1186/s12870-016-0850-0
   Rienth M, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-108
   Robin J. P., 1997, Journal International des Sciences de la Vigne et du Vin, V31, P127
   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
   Rolle L, 2013, INT J FOOD PROP, V16, P598, DOI 10.1080/10942912.2011.558231
   RUFFNER HP, 1982, VITIS, V21, P247
   Santillán D, 2019, SCI TOTAL ENVIRON, V657, P839, DOI 10.1016/j.scitotenv.2018.12.079
   Savoi S, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00628-6
   Shahood R, 2017, BERRY ASYNCHRONOUS H
   Shahood R., 2015, 19 INT M VITICULTURE, P564
   Shahood R, 2020, OENO ONE, V54, P1077, DOI 10.20870/oeno-one.2020.54.4.3787
   Shiraishi M, 2010, EUPHYTICA, V174, P1, DOI 10.1007/s10681-009-0084-4
   STOREY R, 1987, AM J ENOL VITICULT, V38, P301
   Suter B, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.624867
   Sweetman C, 2014, J EXP BOT, V65, P5975, DOI 10.1093/jxb/eru343
   Terrier N, 2001, PLANTA, V213, P20, DOI 10.1007/s004250000472
   Torregrosa L, 2019, OENO ONE, V53, P373, DOI 10.20870/oeno-one.2019.53.3.2409
   Torregrosa L, 2017, OENO ONE, V51, P155, DOI 10.20870/oeno-one.2016.0.0.1587
   Varandas S, 2004, ANAL CHIM ACTA, V513, P351, DOI 10.1016/j.aca.2003.11.086
   Villette J, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00123
   Vondras AM, 2016, PLANTA, V243, P1191, DOI 10.1007/s00425-016-2474-x
   Zhang C, 2015, GENE, V574, P168, DOI 10.1016/j.gene.2015.08.003
NR 69
TC 9
Z9 9
U1 1
U2 10
PU INT VITICULTURE & ENOLOGY SOC-IVES
PI VILLENAVE D ORNON
PA INST SCI VIGNE VIN-ISVV, 210 CHEMIN DE LEYSOTTE, VILLENAVE D ORNON,
   FRANCE
EI 2494-1271
J9 OENO ONE
JI OENE One
PY 2022
VL 56
IS 3
BP 89
EP 102
DI 10.20870/oeno-one.2022.56.3.5495
PG 14
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA 5V0YY
UT WOS:000876965200007
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Makate, C
   Wang, RC
   Makate, M
   Mango, N
AF Makate, Clifton
   Wang, Rongchang
   Makate, Marshall
   Mango, Nelson
TI Impact of drought tolerant maize adoption on maize productivity, sales
   and consumption in rural Zimbabwe
SO AGREKON
LA English
DT Article
DE Climate variability and change; drought-tolerant maize; productivity and
   livelihood outcomes; propensity score matching; smallholder farmers
ID SMALLHOLDER FARMERS; MATCHING ESTIMATORS; SOUTHERN AFRICA; FOOD
   SECURITY; CONSERVATION; EASTERN; INTENSIFICATION; DETERMINANTS;
   TECHNOLOGIES; AGRICULTURE
AB Increased frequency of droughts (especially mid-season dry spells), higher than normal temperatures and altered patterns of precipitation and intensity are some of the extreme weather events evident in southern Africa. These extreme weather events present a threat to livelihoods and sustainability of agricultural production in the region. However, several climate-smart agricultural technologies (including drought-tolerant maize) believed to offer adaptation to climate variability in maize-based farming systems have been widely adopted. Moreover, empirical work on these technologies is limited. This paper demonstrates how by adopting drought-tolerant maize, a climate-smart agricultural technology impacts on the quantities of maize produced, sold and consumed in Zimbabwe. Using primary data on smallholder farmers collected in 2011 in Zimbabwe's four districts, we employed propensity score matching techniques to construct a suitable comparison group and calculate the average treatment effect on the treated sample. We find that, the adoption of drought-tolerant maize (DTM) in rural Zimbabwe significantly enhances overall maize productivity and consequently the quantities set aside for sale and personal household consumption. Our study therefore suggests that, systematic expansion of climate-smart agricultural technologies such as adoption of drought-tolerant maize can significantly improve maize yields, sales and consumption in rural Zimbabwe. Our empirical results, robust to sensitivity checks, strongly point to the overall importance of DTM adoption in Zimbabwe. The findings from this paper also have very important implications for overall efforts on the promotion of climate-smart agriculture technologies in Africa and other developing countries.
C1 [Makate, Clifton] Tongji Univ, UNEP Tongji Inst Environm Sustainable Dev, Shanghai 200092, Peoples R China.
   [Wang, Rongchang] Tongji Univ, Coll Environm Sci & Engn, Key Lab Yangtze Aquat Environm MOE, State Key Lab Pollut Control & Resource Reuse, Shanghai 200092, Peoples R China.
   [Makate, Marshall] SUNY Albany, 1400 Washington Ave, Albany, NY 12222 USA.
   [Mango, Nelson] Int Ctr Trop Agr CIAT Mt Pleasant, Harare, Zimbabwe.
C3 Tongji University; Tongji University; State University of New York
   (SUNY) System; University at Albany, SUNY
RP Makate, C (corresponding author), Tongji Univ, UNEP Tongji Inst Environm Sustainable Dev, Shanghai 200092, Peoples R China.
EM ruumakate@gmail.com
RI Makate, Clifton/ACV-8483-2022; Makate, Marshall/M-9231-2016; Wang,
   Rongchang/ABA-1998-2021
OI Makate, Marshall/0000-0002-2005-2970; Wang,
   Rongchang/0000-0002-4520-6630; Makate, Clifton/0000-0002-6061-6638
FU International Fund for Agricultural Development; International Centre
   for Tropical Agriculture (CIAT)
FX The authors would like to acknowledge the financial assistance received
   from the International Fund for Agricultural Development and
   International Centre for Tropical Agriculture (CIAT) that was used in
   carrying out this study.
CR Abadie A, 2006, ECONOMETRICA, V74, P235, DOI 10.1111/j.1468-0262.2006.00655.x
   Abate T., 2015, CIMMYT IITA DTMA SER
   Akinola AA, 2012, AGREKON, V51, P75, DOI 10.1080/03031853.2012.695144
   Amare M, 2012, AGR ECON-BLACKWELL, V43, P27, DOI 10.1111/j.1574-0862.2011.00563.x
   [Anonymous], ZIMB DEM HLTH SURV 2
   Archer E, 2007, CLIMATIC CHANGE, V83, P287, DOI 10.1007/s10584-006-9192-5
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Balsa AI, 2010, HEALTH ECON, V19, P833, DOI 10.1002/hec.1520
   Becker SO, 2002, STATA J, V2, P358, DOI 10.1177/1536867X0200200403
   Clay E., 2002, Food Security Concepts and Measurement
   Clay E., 2003, 7 WORLD BANK DIS RIS
   DiPrete TA, 2004, SOCIOL METHODOL, V34, P271, DOI 10.1111/j.0081-1750.2004.00154.x
   Faltermeier L, 2009, AGR ECON-BLACKWELL, V40, P365, DOI 10.1111/j.1574-0862.2009.00383.x
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Fisher M, 2015, GLOBAL ENVIRON CHANG, V35, P82, DOI 10.1016/j.gloenvcha.2015.08.009
   Fisher M, 2015, CLIMATIC CHANGE, V133, P283, DOI 10.1007/s10584-015-1459-2
   Food Agriculture and Natural Resources Policy Analysis Network (FANRPAN), 2012, POL BRIEF SER FANRPA, Vxi
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Heckman JJ, 1998, REV ECON STUD, V65, P261, DOI 10.1111/1467-937X.00044
   Heckman JJ, 1996, REV ECON STAT, V78, P336, DOI 10.2307/2109936
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Juana J. S., 2005, Agrekon, V44, P344
   La Rovere R., 2014, J DEV AREAS, V48, P199
   Lee WS, 2013, EMPIR ECON, V44, P47, DOI 10.1007/s00181-011-0481-0
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Mango N, 2014, DEV SO AFR, V31, P625, DOI 10.1080/0376835X.2014.911694
   Mapila MATJ, 2012, DEV SO AFR, V29, P303, DOI 10.1080/0376835X.2012.675699
   Matchaya GC, 2013, AGREKON, V52, P75, DOI 10.1080/03031853.2013.798066
   McKenzie DJ, 2005, J POPUL ECON, V18, P229, DOI 10.1007/s00148-005-0224-7
   NEPAD, 2014, MILL AFR FARM BEN NE
   Nhemachena C., 2007, INT FOOD POLICY RES
   Nkala P, 2011, J SUSTAIN AGR, V35, P757, DOI 10.1080/10440046.2011.606492
   Rockström J, 2000, PHYS CHEM EARTH PT B, V25, P275, DOI 10.1016/S1464-1909(00)00015-0
   Rosenbaum P.R., 2002, OBSERVATIONAL STUDIE, DOI DOI 10.1007/978-1-4757-3692-2_3
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   ROSENBAUM PR, 1985, AM STAT, V39, P33, DOI 10.2307/2683903
   Sander B.O., 2013, IRRI TECHNICAL B, V17
   Smith JA, 2005, J ECONOMETRICS, V125, P305, DOI 10.1016/j.jeconom.2004.04.011
   Winkelmayer WC, 2004, NEPHROL DIAL TRANSPL, V19, P1671, DOI 10.1093/ndt/gfh104
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
NR 41
TC 33
Z9 35
U1 2
U2 40
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0303-1853
EI 2078-0400
J9 AGREKON
JI Agrekon
PY 2017
VL 56
IS 1
BP 67
EP 81
DI 10.1080/03031853.2017.1283241
PG 15
WC Agricultural Economics & Policy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EO1XP
UT WOS:000396491500006
DA 2025-01-10
ER

PT J
AU Roy, DB
   Oliver, TH
   Botham, MS
   Beckmann, B
   Brereton, T
   Dennis, RLH
   Harrower, C
   Phillimore, AB
   Thomas, JA
AF Roy, David B.
   Oliver, Tom H.
   Botham, Marc S.
   Beckmann, Bjorn
   Brereton, Tom
   Dennis, Roger L. H.
   Harrower, Colin
   Phillimore, Albert B.
   Thomas, Jeremy A.
TI Similarities in butterfly emergence dates among populations suggest
   local adaptation to climate
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE butterfly monitoring scheme; climate change; life history; local
   adaptation; phenology; plasticity; temperature; traits
ID PHENOLOGICAL RESPONSE; HABITAT AVAILABILITY; BRITISH BUTTERFLIES;
   TEMPERATURE; EVOLUTION; MODELS; FLUCTUATIONS; VARIABILITY; PLASTICITY;
   BIOLOGY
AB Phenology shifts are the most widely cited examples of the biological impact of climate change, yet there are few assessments of potential effects on the fitness of individual organisms or the persistence of populations. Despite extensive evidence of climate-driven advances in phenological events over recent decades, comparable patterns across species' geographic ranges have seldom been described. Even fewer studies have quantified concurrent spatial gradients and temporal trends between phenology and climate. Here we analyse a large data set (similar to 129 000 phenology measures) over 37 years across the UK to provide the first phylogenetic comparative analysis of the relative roles of plasticity and local adaptation in generating spatial and temporal patterns in butterfly mean flight dates. Although populations of all species exhibit a plastic response to temperature, with adult emergence dates earlier in warmer years by an average of 6.4 days per degrees C, among-population differences are significantly lower on average, at 4.3 days per degrees C. Emergence dates of most species are more synchronised over their geographic range than is predicted by their relationship between mean flight date and temperature over time, suggesting local adaptation. Biological traits of species only weakly explained the variation in differences between space-temperature and time-temperature phenological responses, suggesting that multiple mechanisms may operate to maintain local adaptation. As niche models assume constant relationships between occurrence and environmental conditions across a species' entire range, an important implication of the temperature-mediated local adaptation detected here is that populations of insects are much more sensitive to future climate changes than current projections suggest.
C1 [Roy, David B.; Oliver, Tom H.; Botham, Marc S.; Beckmann, Bjorn; Dennis, Roger L. H.; Harrower, Colin] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England.
   [Brereton, Tom] Butterfly Conservat, Wareham BH20 5QP, Dorset, England.
   [Dennis, Roger L. H.] Staffordshire Univ, Inst Environm Sustainabil & Regenerat, Stoke On Trent ST4 2DE, Staffs, England.
   [Phillimore, Albert B.] Inst Evolutionary Biol, Edinburgh EH9 3JT, Midlothian, Scotland.
   [Thomas, Jeremy A.] Univ Oxford, Dept Zool, Oxford OX1 3PS, England.
C3 UK Centre for Ecology & Hydrology (UKCEH); Staffordshire University;
   University of Edinburgh; University of Oxford
RP Roy, DB (corresponding author), Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England.
EM dbr@ceh.ac.uk
RI Roy, David/A-6619-2009; Oliver, Tom/K-2670-2012; Botham,
   Marc/F-5425-2011; Harrower, Colin/H-6835-2013; Phillimore,
   Albert/B-8837-2009
OI Harrower, Colin/0000-0001-5070-5293; Oliver, Tom/0000-0002-4169-7313;
   Phillimore, Albert/0000-0002-6553-1553
FU Natural Environmental Research Council [NEC04932]; JNCC; NRW; FC; NE;
   NERC; SNH; Biodiversa project CLIMIT within the FP6 of the European
   Commission; NERC [NE/I020598/1, ceh020002] Funding Source: UKRI
FX We are indebted to all the UKBMS volunteers for collecting and
   submitting transect data. We thank Stephen Freeman, Nick Isaac, Jarrod
   Hadfield, Dan Nussey and Peter Rothery for helpful advice on the
   analysis approach used. The UKBMS is funded by a multiagency consortium
   led by JNCC and including Defra, NRW, FC, NE, NERC and SNH. The analyses
   were partly funded by the Biodiversa project CLIMIT within the FP6 of
   the European Commission, and the CEH National Capability funding from
   the Natural Environmental Research Council (Project NEC04932).
CR Altermatt F, 2012, GLOBAL CHANGE BIOL, V18, P2429, DOI 10.1111/j.1365-2486.2012.02727.x
   [Anonymous], GUIDE BUTTERFLIES BR
   [Anonymous], 2002, LECT NOTES PHYS
   Bradshaw WE, 2007, ANNU REV ECOL EVOL S, V38, P1, DOI 10.1146/annurev.ecolsys.37.091305.110115
   BRAKEFIELD PM, 1987, ECOL ENTOMOL, V12, P139, DOI 10.1111/j.1365-2311.1987.tb00993.x
   Bridle JR, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.1800
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   CONOVER DO, 1990, OECOLOGIA, V83, P316, DOI 10.1007/BF00317554
   CONOVER DO, 1995, TRENDS ECOL EVOL, V10, P248, DOI 10.1016/S0169-5347(00)89081-3
   Davis CC, 2010, PHILOS T R SOC B, V365, P3201, DOI 10.1098/rstb.2010.0130
   Dennis RLH, 2004, ECOL ENTOMOL, V29, P12, DOI 10.1111/j.1365-2311.2004.00572.x
   DENNIS RLH, 1989, BIOL J LINN SOC, V38, P323, DOI 10.1111/j.1095-8312.1989.tb01581.x
   Eckhart VM, 2004, EVOLUTION, V58, P59, DOI 10.1111/j.0014-3820.2004.tb01573.x
   Hadfield JD, 2010, J EVOLUTION BIOL, V23, P494, DOI 10.1111/j.1420-9101.2009.01915.x
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hodgson JA, 2011, GLOBAL CHANGE BIOL, V17, P1289, DOI 10.1111/j.1365-2486.2010.02308.x
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kharouba HM, 2014, GLOBAL CHANGE BIOL, V20, P504, DOI 10.1111/gcb.12429
   Nylin S, 1998, ANNU REV ENTOMOL, V43, P63, DOI 10.1146/annurev.ento.43.1.63
   Nylin Soren, 2009, P198
   Oliver T, 2010, ECOL LETT, V13, P473, DOI 10.1111/j.1461-0248.2010.01441.x
   Oliver T, 2009, ECOL LETT, V12, P1091, DOI 10.1111/j.1461-0248.2009.01367.x
   Oliver TH, 2012, GLOBAL CHANGE BIOL, V18, P1531, DOI 10.1111/j.1365-2486.2012.02659.x
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Parmesan C, 2013, ECOL LETT, V16, P58, DOI 10.1111/ele.12098
   Pateman RM, 2012, SCIENCE, V336, P1028, DOI 10.1126/science.1216980
   Pau S, 2011, GLOBAL CHANGE BIOL, V17, P3633, DOI 10.1111/j.1365-2486.2011.02515.x
   Pelini SL, 2009, P NATL ACAD SCI USA, V106, P11160, DOI 10.1073/pnas.0900284106
   Phillimore AB, 2012, AM NAT, V180, P655, DOI 10.1086/667893
   Phillimore AB, 2010, P NATL ACAD SCI USA, V107, P8292, DOI 10.1073/pnas.0913792107
   Pollard E., 1997, Entomologist's Gazette, V48, P3
   Pollard E., 1993, Monitoring butterflies for ecology and conservation
   Quinn RM, 1998, ECOGRAPHY, V21, P279, DOI 10.1111/j.1600-0587.1998.tb00565.x
   Rothery P, 2001, J APPL STAT, V28, P897, DOI 10.1080/02664760120074979
   Roy DB, 2003, OECOLOGIA, V134, P439, DOI 10.1007/s00442-002-1121-3
   Roy DB, 2000, GLOB CHANGE BIOL, V6, P407, DOI 10.1046/j.1365-2486.2000.00322.x
   Roy DB, 2003, INT J BIOMETEOROL, V47, P188, DOI 10.1007/s00484-003-0170-6
   Roy DB, 2001, J ANIM ECOL, V70, P201, DOI 10.1046/j.1365-2656.2001.00480.x
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   Settele Josef, 2008, BioRisk, V1, P1
   Thackeray SJ, 2010, GLOBAL CHANGE BIOL, V16, P3304, DOI 10.1111/j.1365-2486.2010.02165.x
   Thomas CD, 2001, NATURE, V411, P577, DOI 10.1038/35079066
   THOMAS JA, 1994, ECOGRAPHY, V17, P215, DOI 10.1111/j.1600-0587.1994.tb00096.x
   THOMAS JA, 1993, ECOGRAPHY, V16, P278, DOI 10.1111/j.1600-0587.1993.tb00217.x
   Thomas JA, 1999, FUNCT ECOL, V13, P55, DOI 10.1046/j.1365-2435.1999.00008.x
   Van Dyck H, 2015, OIKOS, V124, P54, DOI 10.1111/oik.02066
   van Strien AJ, 2008, OECOLOGIA, V156, P227, DOI 10.1007/s00442-008-0959-4
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Wallisdevries MF, 2006, GLOBAL CHANGE BIOL, V12, P1620, DOI 10.1111/j.1365-2486.2006.01202.x
   WEISS SB, 1988, ECOLOGY, V69, P1486, DOI 10.2307/1941646
   Willis CG, 2008, P NATL ACAD SCI USA, V105, P17029, DOI 10.1073/pnas.0806446105
   ZHOU XL, 1995, GLOBAL CHANGE BIOL, V1, P303, DOI 10.1111/j.1365-2486.1995.tb00029.x
NR 54
TC 52
Z9 56
U1 1
U2 120
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD SEP
PY 2015
VL 21
IS 9
BP 3313
EP 3322
DI 10.1111/gcb.12920
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA CR0HE
UT WOS:000360998400012
PM 26390228
OA Green Published, Green Accepted, hybrid
DA 2025-01-10
ER

PT C
AU Ma, XL
   Huete, A
   Yu, Q
   Davies, K
   Coupe, NR
AF Ma, Xuanlong
   Huete, Alfredo
   Yu, Qiang
   Davies, Kevin
   Coupe, Natalia Restrepo
BE Shortis, M
   Shimoda, H
   Cho, K
TI MONITORING SPATIAL PATTERNS OF VEGETATION PHENOLOGY IN AN AUSTRALIAN
   TROPICAL TRANSECT USING MODIS EVI
SO XXII ISPRS CONGRESS, TECHNICAL COMMISSION VIII
SE International Archives of the Photogrammetry Remote Sensing and Spatial
   Information Sciences
LA English
DT Proceedings Paper
CT 22nd Congress of the
   International-Society-for-Photogrammetry-and-Remote-Sensing
CY AUG 25-SEP 01, 2012
CL Melbourne, AUSTRALIA
SP Int Soc Photogrammetry & Remote Sensing, Hexagon, ESRI, RMIT Univ, Sch Math Geospatial Sci
DE NATT; tropical savannas; phenology; climate change; MODIS; EVI
ID NORTHERN-TERRITORY; GRADIENT; RAINFALL; SEASON
AB Phenology is receiving increasing interest in the area of climate change and vegetation adaptation to climate. The phenology of a landscape can be used as a key parameter in land surface models and dynamic global vegetation models to more accurately simulate carbon, water and energy exchanges between land cover and atmosphere. However, the characterisation of phenology is lacking in tropical savannas which cover more than 30% of global land area, and are highly vulnerable to climate change. The objective of this study is to investigate the spatial pattern of vegetation phenology along the Northern Australia Tropical Transect (NATT) where the major biomes are wet and dry tropical savannas. For this analysis we used more than 11 years Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) product from 2000 to 2011. Eight phenological metrics were derived: Start of Season (SOS), End of Season (EOS), Length of Season (LOS), Maximum EVI (MaxG), Minimum EVI (MinG), annual amplitude (AMP), large integral (LIG), and small integral (SIG) were generated for each year and each pixel. Our results showed there are significant spatial patterns and considerable interannual variations of vegetation phenology along the NATT study area. Generally speaking, vegetation growing season started and ended earlier in the north, and started and ended later in the south, resulting in a southward decrease of growing season length (LOS). Vegetation productivity, which was represented by annual integral EVI (LIG), showed a significant descending trend from the northern part of NATT to the southern part. Segmented regression analysis showed that there exists a distinguishable breakpoint along the latitudinal gradient, at least in terms of annual minimum EVI (EVI), which is located between 18.84 degrees S to 20.04 degrees S.
C1 [Ma, Xuanlong; Huete, Alfredo; Yu, Qiang; Davies, Kevin; Coupe, Natalia Restrepo] Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, Sydney, NSW 2007, Australia.
   [Ma, Xuanlong; Yu, Qiang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.
C3 University of Technology Sydney; Chinese Academy of Sciences; Institute
   of Geographic Sciences & Natural Resources Research, CAS
RP Huete, A (corresponding author), Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, POB 123, Broadway, NSW 2000, Australia.
EM alfredo.huete@uts.edu.au
RI Ma, Xuanlong/AAH-6206-2021; Ma, Xuanlong/E-7366-2014; Huete,
   Alfredo/C-1294-2008; Restrepo-Coupe, Natalia/C-3507-2015
OI Ma, Xuanlong/0000-0003-1499-8476; Davies, Kevin/0000-0003-2170-7008;
   Huete, Alfredo/0000-0003-2809-2376; Restrepo-Coupe,
   Natalia/0000-0003-3921-1772
CR [Anonymous], 2000, INT J
   [Anonymous], 1998, GEOSCIENCE
   [Anonymous], 1997, GLOBAL
   Beurs K. M. D., 2010, SPATIOTEMPORAL STAT
   Bowman DMJS, 1996, J BIOGEOGR, V23, P245, DOI 10.1046/j.1365-2699.1996.00981.x
   Bowman DMJS, 1996, AUST J BOT, V44, P571, DOI 10.1071/BT9960571
   Brown ME, 2008, REMOTE SENS ENVIRON, V112, P2261, DOI 10.1016/j.rse.2007.10.008
   BURBRIDGE NANCY T., 1960, AUSTRALIAN JOUR BOT, V8, P75, DOI 10.1071/BT9600075
   Canadell J. G., 2003, 1 GLOB CARB PROJ SCI
   Cook GD, 2001, INT J CLIMATOL, V21, P1723, DOI 10.1002/joc.704
   Egan JL, 1996, AUST SYST BOT, V9, P205, DOI 10.1071/SB9960205
   Frost P., 1986, BIOL INT, P81
   House JI., 2001, TERRESTRIAL GLOBAL P, P363
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Hutley L. B., 2011, AGR FOREST METEOROL, P1
   JEFFREE EP, 1960, Q J ROY METEOR SOC, V86, P95, DOI 10.1002/qj.49708636710
   Koch GW, 1995, VEGETATIO, V121, P53, DOI 10.1007/BF00044672
   MacArthur R. H., 1969, Biological Journal of the Linnean Society, V1, P19, DOI 10.1111/j.1095-8312.1969.tb01809.x
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Oosterbaan R., 1990, P S LAND DRAIN SAL C, V3, P1
   Running S.W., 1993, Scaling physiological processes: leaf to globe, P141, DOI 10.1016/b978-0-12-233440-5.50014-2
   RUNNING SW, 1994, INT J REMOTE SENS, V15, P3587, DOI 10.1080/01431169408954346
   Schwartz M. D., 1999, INT J REMOTE SENSING
   Sellers PJ, 1996, J CLIMATE, V9, P676, DOI 10.1175/1520-0442(1996)009<0676:ARLSPF>2.0.CO;2
   Stockli R., 2004, INT J REMOTE SENSING
   Waring RH, 2006, FOREST ECOL MANAG, V228, P285, DOI 10.1016/j.foreco.2006.03.019
   Wayne Skaggs R., 1996, AGR WATER MANAGE, V31, P307, DOI [10.1016/0378-3774(96)84103-5, DOI 10.1016/0378-3774(96)84103-5]
   Williams RJ, 1996, J BIOGEOGR, V23, P747, DOI 10.1111/j.1365-2699.1996.tb00036.x
   Zhang XY, 2003, REMOTE SENS ENVIRON, V84, P471, DOI 10.1016/S0034-4257(02)00135-9
NR 29
TC 1
Z9 1
U1 0
U2 4
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLE 1E, GOTTINGEN, 37081, GERMANY
SN 2194-9034
J9 INT ARCH PHOTOGRAMM
PY 2012
VL 39-B8
BP 271
EP 276
PG 6
WC Geography, Physical; Remote Sensing; Imaging Science & Photographic
   Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Physical Geography; Remote Sensing; Imaging Science & Photographic
   Technology
GA BD1OR
UT WOS:000358207600050
DA 2025-01-10
ER

PT J
AU Garcia-Marti, I
   de Baar, JHS
   Noteboom, JW
   Sluijter, R
   van der Schrier, G
AF Garcia-Marti, Irene
   de Baar, Jouke H. S.
   Noteboom, Jan Willem
   Sluijter, Rob
   van der Schrier, Gerard
TI A data-driven impact-based analysis stemming from first responders
   reports to predict wind damage to urban trees
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE wind damage prediction; impact-based analysis; machine learning; climate
   action; climate adaptation
ID SUPPORT; WEATHER; WARNINGS
AB Transitioning from weather forecasts and warnings to impact-based forecast and warning services represents a paradigm shift in service delivery for many national hydrological and meteorological services (NHMS). NHMS typically excel at delivering information about hazardous weather, but are less experienced at inferring measures of risk of impact of extreme weather. Severe wind storms are high-impact weather phenomena that generally have a detrimental effect on distinct socio-economic sectors. In the Netherlands, the emergency services record locations where wind damage occurred to public or private property. In this work, we take 10 years of damage locations (2013-2023) provided by two safety regions in the Dutch province of Noord-Brabant. Each of the reports is enriched with an array of weather and environmental features, intended to describe the local conditions where wind damage was recorded. We model the wind reports using an ensemble of data-driven methods (i.e., One-Class Support Vector Machine) which are capable of learning from these hyper local conditions and predict for the rest of the study area. Results show how the ensemble of data-driven models are able to skillfully map locations where wind-induced damages are likely at spatial resolutions of 1 km and 5 km under high and low wind conditions scenarios. These results are encouraging for NHMS to strengthen national multi-hazard early warning systems by providing a new range of services at the urban scales in collaboration with external partners. As a consequence, the transition of scientific knowledge towards society would accelerate, hence helping at better protecting communities and livelihoods.
C1 [Garcia-Marti, Irene; de Baar, Jouke H. S.; Noteboom, Jan Willem; van der Schrier, Gerard] Royal Netherlands Meteorol Inst KNMI, Dept Observat & Data Technol, De Bilt, Utrecht, Netherlands.
   [Sluijter, Rob] Royal Netherlands Meteorol Inst KNMI, Early Warning Ctr, De Bilt, Utrecht, Netherlands.
RP Garcia-Marti, I (corresponding author), Royal Netherlands Meteorol Inst KNMI, Dept Observat & Data Technol, De Bilt, Utrecht, Netherlands.
EM garciamarti@knmi.nl
FU Early Warning Center (EWC) programme of KNMI, KNMI's Multi-annual
   Strategic Plan (2019-2025)
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This research has been
   funded by the Early Warning Center (EWC) programme of KNMI, which is
   part of KNMI's Multi-annual Strategic Plan (2019-2025).
CR Feuerstein B, 2011, ATMOS RES, V100, P547, DOI 10.1016/j.atmosres.2010.12.026
   Gardiner B, 2021, J FOREST RES-JPN, V26, P248, DOI 10.1080/13416979.2021.1940665
   Geiger T, 2024, FRONT CLIM, V6, DOI 10.3389/fclim.2024.1343993
   Gliksman D, 2023, NAT HAZARD EARTH SYS, V23, P2171, DOI 10.5194/nhess-23-2171-2023
   Hart E, 2019, AGR FOREST METEOROL, V265, P16, DOI 10.1016/j.agrformet.2018.10.022
   Intergovernmental Panel on Climate Change (IPCC), 2023, Annex II: Glossary. Climate Change 2022
   Jahani A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80426-7
   Koks EE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63580-w
   Manevitz LM, 2002, J MACH LEARN RES, V2, P139, DOI 10.1162/15324430260185574
   Moemken J., 2024, Nat. Hazards Earth Syst. Sci. Discuss, V2024, P1, DOI [10.5194/nhess-2024-16, DOI 10.5194/NHESS-2024-16]
   Pawlik L, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2021.151972
   Potter SH, 2018, INT J DISAST RISK RE, V30, P34, DOI 10.1016/j.ijdrr.2018.03.031
   Reisinger A., 2020, Intergovernmental Panel on Climate Change, V15
   Schölkopf B, 2001, NEURAL COMPUT, V13, P1443, DOI 10.1162/089976601750264965
   Schölkopf B, 2000, ADV NEUR IN, V12, P582
   Shin HJ, 2005, COMPUT IND ENG, V48, P395, DOI 10.1016/j.cie.2005.01.009
   Suvanto S, 2019, FOREST ECOL MANAG, V453, DOI 10.1016/j.foreco.2019.117619
   Taylor AL, 2018, INT J DISAST RISK RE, V30, P1, DOI 10.1016/j.ijdrr.2018.04.002
   Uccellini LW, 2019, B AM METEOROL SOC, V100, P1923, DOI 10.1175/BAMS-D-18-0159.1
   Valta H, 2019, ADV SCI RES, V16, P31, DOI 10.5194/asr-16-31-2019
   Wang JP, 2004, LECT NOTES COMPUT SC, V3173, P512
   WMO, 2021, The WMO Strategy for Service Delivery and Its Implementation Plan
   WMO, 2014, The WMO Strategy for Service Delivery and Its Implementation Plan
   Yang JH, 2016, LECT NOTES ELECTR EN, V359, P475, DOI 10.1007/978-3-662-48386-2_49
NR 24
TC 0
Z9 0
U1 0
U2 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD DEC 18
PY 2024
VL 6
AR 1505268
DI 10.3389/fclim.2024.1505268
PG 11
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA Q9C5I
UT WOS:001387567600001
OA gold
DA 2025-01-10
ER

PT J
AU Jiang, YZ
   Guo, CJ
   Su, FL
   Xu, W
   Ma, LL
   Cui, LJ
   Mi, CX
AF Jiang, Yuzhe
   Guo, Chengjiu
   Su, Fangli
   Xu, Wei
   Ma, Lingling
   Cui, Lijuan
   Mi, Chenxi
TI Climate warming effects on temperature structure in lentic waters: A
   bibliometric analysis from the recent 20 years
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Global warming; Summer heatwaves; Thermal stratification; Hypoxia;
   Climate adaptation strategy; Machine learning
ID RESOURCES
AB Global climate warming and intensified summer heatwaves have exacerbated thermal stratification in inland lakes and reservoirs, leading to increased issues of deep-water hypoxia and harmful algae blooms. This study aims to systematically review the developments, barriers, and future directions of thermal phenology in freshwaters under warming conditions through a visualized meta-analysis. According to the Web of Science Core Collection database, we retrieved 3262 articles published between January 1, 2000, and December 31, 2023, using an advanced search query that included terms related to global warming, temperature stratification, and freshwater bodies. The data was then analyzed via bibliometric visualization tools to create comprehensive visual maps, highlighting research hotspots and development trends. Key findings include a significant upward trend on this topic, in the annual number of published articles post-2015, in which China and the USA are leading in the publication output. Keyword co-occurrence analysis identified climate change, global warming, and temperature as central themes, with specific environmental issues linking to lake eutrophication and runoff being prominent as well. The study also delves into the collaboration networks among researchers, institutions, and countries, revealing strong international partnerships primarily between China, the USA, and European nations. Based on the analysis, we recommend future research should focus on integrating machine learning and advanced modeling techniques to better predict and mitigate the impacts of climate warming on thermal dynamics of inland waters. By upscaling the research from traditionally local (or regional) to global perspective, our work is vital, not just for science, but also for management of the aquatic systems under rapidly changing climate conditions.
C1 [Jiang, Yuzhe; Guo, Chengjiu; Su, Fangli; Xu, Wei; Ma, Lingling; Mi, Chenxi] Shenyang Agr Univ, Coll Water Conservancy, Shenyang, Peoples R China.
   [Cui, Lijuan] Chinese Acad Forestry, Inst Ecol Conservat & Restorat, Beijing, Peoples R China.
   [Mi, Chenxi] Univ Lethbridge, Dept Biol Sci, Lethbridge, AB, Canada.
C3 Shenyang Agricultural University; Chinese Academy of Forestry;
   University of Lethbridge
RP Mi, CX (corresponding author), Shenyang Agr Univ, Coll Water Conservancy, Shenyang, Peoples R China.
EM chenxi.mi@uleth.ca
RI Mi, Chenxi/S-1612-2018; Ma, Lingling/KPA-5397-2024; cui,
   lijuan/AAX-7996-2021
FU National Natural Science Foundation of China [42107060]; Liaoning
   Provincial Doctoral Research Startup Fund Project [2022-BS-174];
   National Key Research and Development Program of China
   [2022YFF1301000-4]
FX We are grateful for financial funding of this research provided by the
   National Natural Science Foundation of China (42107060) , Liaoning
   Provincial Doctoral Research Startup Fund Project (2022-BS-174) and the
   National Key Research and Development Program of China
   (2022YFF1301000-4) .
CR Adams J, 2013, NATURE, V497, P557, DOI 10.1038/497557a
   Adrian R., 2009, The response of lakes to global warming
   Adrian R, 2009, LIMNOL OCEANOGR, V54, P2283, DOI 10.4319/lo.2009.54.6_part_2.2283
   Bonar S.A., 2021, Environmental Science, V35, P113, DOI [10.1029/2021ES000001, DOI 10.1029/2021ES000001]
   Boye K., 2019, Glob. Chang. Biol., V25, P1221, DOI [10.1111/gcb.14516, DOI 10.1111/GCB.14516]
   Chepfer H, 2014, GEOPHYS RES LETT, V41, P8387, DOI 10.1002/2014GL061792
   Coloso JJ, 2011, AQUAT SCI, V73, P305, DOI 10.1007/s00027-010-0177-0
   Finn C, 2017, PR MACH LEARN RES, V70
   Forster PM, 2023, EARTH SYST SCI DATA, V15, P2295, DOI 10.5194/essd-15-2295-2023
   Glänzel W, 2004, HANDBOOK OF QUANTITATIVE SCIENCE AND TECHNOLOGY RESEARCH: THE USE OF PUBLICATION AND PATENT STATISTICS IN STUDIES OF S&T SYSTEMS, P257
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Goodfellow IJ, 2014, ADV NEUR IN, V27, P2672
   Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102
   Hsieh WW., 2009, Machine learning methods in the environmental sciences neural networks and kernel
   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]
   Ipcc 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 2014, DOI [10.1017/CBO9781107415379, DOI 10.1017/CBO9781107415379]
   Jane SF, 2021, NATURE, V594, P66, DOI 10.1038/s41586-021-03550-y
   Jia X., 2019, ACM Transactions on Intelligent Systems and Technology (TIST), V10, P1, DOI [10.1145/3335768, DOI 10.1145/3335768]
   Karpatne A, 2017, IEEE T KNOWL DATA EN, V29, P2318, DOI 10.1109/TKDE.2017.2720168
   Katz JS, 1997, RES POLICY, V26, P1, DOI 10.1016/S0048-7333(96)00917-1
   Livingstone DM, 2003, CLIMATIC CHANGE, V57, P205, DOI 10.1023/A:1022119503144
   Malhi Y, 2000, TRENDS ECOL EVOL, V15, P332, DOI 10.1016/S0169-5347(00)01906-6
   Newman MEJ, 2004, P NATL ACAD SCI USA, V101, P5200, DOI 10.1073/pnas.0307545100
   O'Reilly CM, 2015, GEOPHYS RES LETT, V42, P10773, DOI 10.1002/2015GL066235
   Reichstein M, 2019, NATURE, V566, P195, DOI 10.1038/s41586-019-0912-1
   Rippey B, 2009, LIMNOL OCEANOGR, V54, P905, DOI 10.4319/lo.2009.54.3.0905
   Rowley J, 2007, J INF SCI, V33, P163, DOI 10.1177/0165551506070706
   Shahriari B, 2016, P IEEE, V104, P148, DOI 10.1109/JPROC.2015.2494218
   Sharma S, 2019, NAT CLIM CHANGE, V9, P227, DOI 10.1038/s41558-018-0393-5
   Shinohara R, 2021, HYDROL RES, V52, P916, DOI 10.2166/nh.2021.148
   Steinsberger T, 2020, LIMNOL OCEANOGR, V65, P3128, DOI 10.1002/lno.11578
   Stetler JT, 2021, LIMNOL OCEANOGR, V66, P954, DOI 10.1002/lno.11654
   Sutton RS, 2018, ADAPT COMPUT MACH LE, P1
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Trenberth KE, 2013, EARTHS FUTURE, V1, P19, DOI 10.1002/2013EF000165
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Williamson C.E., 2009, Front. Ecol. Environ., V7, P247, DOI [10.1890/080017, DOI 10.1890/080017]
   Woolway RI, 2020, NAT REV EARTH ENV, V1, P388, DOI 10.1038/s43017-020-0067-5
   Zhang GQ, 2014, J GEOPHYS RES-ATMOS, V119, P8552, DOI 10.1002/2014JD021615
NR 41
TC 0
Z9 0
U1 5
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD OCT
PY 2024
VL 167
AR 112740
DI 10.1016/j.ecolind.2024.112740
EA OCT 2024
PG 12
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA K0T6R
UT WOS:001341099700001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, Y
   Yang, L
   Qiao, YH
   Cao, QM
   Han, B
AF Liu, Yue
   Yang, Liu
   Qiao, Yuhao
   Cao, Qimeng
   Han, Bing
TI A Multivariate Model and Correlation Study on the Impact of Typical
   Residential Spatial Forms in the Middle Reaches of the Hanjiang River on
   the Thermal Environment and Thermal Comfort
SO SUSTAINABILITY
LA English
DT Article
DE residential climate adaptability; middle reaches of Hanjiang River;
   spatial form index; thermal environment; thermal comfort
ID ENERGY; SUMMER; DESIGN
AB Different spatial forms affect the indoor thermal environment and human thermal comfort. A good living environment largely depends on the flexibility of spatial forms, and spatial scale and proportion are the key factors affecting these forms. We selected typical residential houses in the middle reaches of the Hanjiang River in the hot summer and cold winter climate area as an example. Through on-site measurements and questionnaire surveys, we studied the impact of residential form indicators on the thermal environment and thermal comfort. We also established a multivariate model to explore the correlation among various parameters. The results showed that the spatial-real ratio of the residential spatial form index in the middle reaches of Hanjiang River was 5-58%. The height from the ground was 2.23-6.92 m. The open-space ratio was 0.04-4.55. The explanatory power of the spatial form index to indoor air temperature was 57.5%, with a strong correlation (R2 = 0.675). The explanatory power for humidity was 38.2%, with a weak correlation (R2 = 0.525). The explanatory power of SET was 30.6-50.1%, with a weak correlation (R2 = 0.466). The explanatory power of PMV was 6.5-31.7%, and PMV1.0 was weakly correlated (R2 = 0.474). The explanatory power for PPD was 15.5%, where PPD 1.0 was close to a weak correlation (R2 = 0.508). The results of this study provide reference values for the design methods of and decision-making process for green and energy-saving regional buildings.
C1 [Liu, Yue; Yang, Liu; Han, Bing] Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China.
   [Liu, Yue; Yang, Liu; Han, Bing] Natl Key Lab Green Bldg, Xian 710055, Peoples R China.
   [Liu, Yue] Hubei Univ Arts & Sci, Sch Civil & Architectural Engn, Xiangyang 441000, Peoples R China.
   [Qiao, Yuhao; Cao, Qimeng] Xian Univ Architecture & Technol, Inst Interdisciplinary & Innovate Res, Xian 710064, Peoples R China.
C3 Xi'an University of Architecture & Technology; Hubei University of Arts
   & Science; Xi'an University of Architecture & Technology
RP Liu, Y; Yang, L (corresponding author), Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China.; Liu, Y; Yang, L (corresponding author), Natl Key Lab Green Bldg, Xian 710055, Peoples R China.; Liu, Y (corresponding author), Hubei Univ Arts & Sci, Sch Civil & Architectural Engn, Xiangyang 441000, Peoples R China.
EM liuyue0102@xauat.edu.cn; yangliu@xauat.edu.cn; yuhaoqiao@xauat.edu.cn;
   cqm@xauat.edu.cn; cherrybing_2020@126.com
FU The 14th Five-Year" National Science and Technology Major Project of
   China [2022YFC3802700]; Hubei Provincial Department of Education
   Philosophy and Social Science Research Project [202719020]
FX This study was funded by "the 14th Five-Year" National Science and
   Technology Major Project of China (No. 2022YFC3802700), and the Hubei
   Provincial Department of Education Philosophy and Social Science
   Research Project (202719020).
CR [Anonymous], 2013, ASHRAE
   [Anonymous], 2012, GBT507852012
   Bai M, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14061751
   Buyukyazici D, 2024, REG STUD, V58, P469, DOI 10.1080/00343404.2023.2206868
   Chang S, 2021, ENERG BUILDINGS, V244, DOI 10.1016/j.enbuild.2021.110978
   Chunhang Liang, 2021, IOP Conference Series: Earth and Environmental Science, V768, DOI 10.1088/1755-1315/768/1/012152
   Dagestani A, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-04551-3
   Del MSTT, 2022, HERIT SCI, V10, DOI 10.1186/s40494-022-00807-1
   Deng Z, 2023, ENERG BUILDINGS, V282, DOI 10.1016/j.enbuild.2023.112794
   Dwikat SY, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15064781
   Gamero-Salinas J, 2022, ENERG BUILDINGS, V272, DOI 10.1016/j.enbuild.2022.112339
   Gamero-Salinas J, 2021, ENERG BUILDINGS, V230, DOI 10.1016/j.enbuild.2020.110544
   Gou SQ, 2015, BUILD ENVIRON, V86, P151, DOI 10.1016/j.buildenv.2014.12.003
   Gratia E, 2003, ENERG BUILDINGS, V35, P473, DOI 10.1016/S0378-7788(02)00160-3
   Henna K, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87772-0
   Kim JH, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11110497
   Li E, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108510
   Li WW, 2024, BUILD ENVIRON, V248, DOI 10.1016/j.buildenv.2023.111038
   Mobolade TD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104192
   Ourghi R, 2007, ENERG CONVERS MANAGE, V48, P300, DOI 10.1016/j.enconman.2006.04.011
   Qian F, 2024, SMART CITIES-BASEL, V7, P1971, DOI 10.3390/smartcities7040078
   Su Y, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105062
   Sun QQ, 2022, J ASIAN ARCHIT BUILD, V21, P1381, DOI 10.1080/13467581.2021.1941990
   Tao YQ, 2019, INDOOR BUILT ENVIRON, V28, P1368, DOI 10.1177/1420326X19841115
   Venkatraj V, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110340
   Wang SS, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108263
   Xiong Y, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104136
   Xu XY, 2017, ENERG BUILDINGS, V149, P91, DOI 10.1016/j.enbuild.2017.05.052
   Yang L, 2020, ENERG BUILDINGS, V209, DOI 10.1016/j.enbuild.2019.109678
   Yang YX, 2024, J BUILD ENG, V82, DOI 10.1016/j.jobe.2023.108131
   Yuan L, 2023, J IND ECOL, V27, P336, DOI 10.1111/jiec.13348
   Zhang MH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16083411
   Zhang RN, 2024, ENERGY, V308, DOI 10.1016/j.energy.2024.132804
   Zhu JY, 2023, BUILD ENVIRON, V236, DOI 10.1016/j.buildenv.2023.110269
NR 34
TC 0
Z9 0
U1 12
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2024
VL 16
IS 19
AR 8297
DI 10.3390/su16198297
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 I8S8E
UT WOS:001332906500001
OA gold
DA 2025-01-10
ER

PT J
AU Mohammed, JA
AF Mohammed, Jemal Ali
TI Trend analysis of extreme rainfall indices from CHIRPS precipitation
   estimates over the Lake Tana sub-basin, Abbay Basin of Ethiopia
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Climate sciences; CHIRPS estimates; Climatic indices; ETCCDI; Rainfall
   variability; Climate adaptation
ID TIME-SERIES; TEMPERATURE; VARIABILITY; VALIDATION; PRODUCTS
AB Ethiopia is among the African nations most susceptible to climate change because of its frequent droughts and heavy rainfall. Therefore, hydrological and water management problems require an investigation of regional variability and extreme rainfall patterns. This study analyzed the spatiotemporal trends of extreme rainfall in the Lake Tana sub-basin (LTSB) of Ethiopia's upper Blue Nile basin (UBNB) between 1981 and 2019. The trend and geographic patterns of ten extreme rainfall indices are evaluated using high-resolution data from Climate Hazards Group InfraRed Precipitation Stations (CHIRPS). The researcher used RClimDex, an R software tool, to analyze the ten severe rainfall indices. The variability of the extreme rain indices was also assessed by applying the standard anomaly index (SAI). The trend analysis shows that the majority of rainfall indices decreased in the majority of station locations. Among the rainfall locations, the decreasing trend was only significant in 40% consecutive wet days (CWD), 13.33% (R95p and R99p), and 6.66% highest rainfall amount in a 1-day period (RX1day). In contrast, significant positive patterns were revealed in the incidence of rainfall events of number of heavy precipitation days (R10mm), annual total wet day rainfall (PRCPTOT), and consecutive dry days (CDD), with significant positive trends of 26.66% (R10mm) and 40% (PRCPTOT). Furthermore, a spatial distribution result of extreme rainfall trends reveals considerable variations between stations location. Thus, these findings point to the necessity of creating adaptation and mitigation plans for climate change variability within the sub-basin.
C1 [Mohammed, Jemal Ali] Mekdela Amba Univ, Coll Agr & Nat Resources, Dept Forestry, Tulu Awlya, Ethiopia.
RP Mohammed, JA (corresponding author), Mekdela Amba Univ, Coll Agr & Nat Resources, Dept Forestry, Tulu Awlya, Ethiopia.
EM Jemalali344@gmail.com
RI ali, jemal/KHW-7911-2024
OI Mohammed, Jemal Ali/0000-0001-5437-660X
CR Abadi B., 2020, Environ. Syst. Res, V9, P1, DOI [10.1186/s40068-020-00165-6, DOI 10.1186/S40068-020-00165-6]
   Ademe D, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100263
   Ageet S, 2022, J HYDROMETEOROL, V23, P129, DOI 10.1175/JHM-D-21-0145.1
   Agilan V, 2018, ECOL INDIC, V84, P450, DOI 10.1016/j.ecolind.2017.09.012
   Alemu MM, 2020, J WATER CLIM CHANGE, V11, P1505, DOI 10.2166/wcc.2019.084
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P155, DOI 10.1007/s41748-021-00233-6
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   [Anonymous], 2001, Python Reference Manual
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Avtar R, 2020, REMOTE SENS APPL, V20, DOI 10.1016/j.rsase.2020.100402
   Ayehu GT, 2018, ATMOS MEAS TECH, V11, P1921, DOI 10.5194/amt-11-1921-2018
   Bayable G., 2021, Environ Syst Res, V10, P1, DOI [10.1186/s40068-020-00216-y, DOI 10.1186/S40068-020-00216-Y]
   Bayissa Y, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9070669
   Bayissa YA, 2015, HYDROLOG SCI J, V60, P1927, DOI 10.1080/02626667.2015.1032291
   Belay AS, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11222688
   Bezerra BG, 2019, THEOR APPL CLIMATOL, V135, P565, DOI 10.1007/s00704-018-2396-6
   Bhaga TD, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244184
   Cardell MF, 2020, INT J CLIMATOL, V40, P4800, DOI 10.1002/joc.6490
   Casanueva A, 2014, HYDROL EARTH SYST SC, V18, P709, DOI 10.5194/hess-18-709-2014
   Chakilu GG., 2022, Ethiopia. Journal of Hydrology: Regional Studies, V42, P101175, DOI [10.1016/j.ejrh.2022.101175, DOI 10.1016/J.EJRH.2022.101175]
   Cohen JL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050582
   Dembélé M, 2016, INT J REMOTE SENS, V37, P3995, DOI 10.1080/01431161.2016.1207258
   Dendir Z, 2022, ADV METEOROL, V2022, DOI 10.1155/2022/4745123
   Dinku T, 2018, Q J ROY METEOR SOC, V144, P292, DOI 10.1002/qj.3244
   Dinku T, 2014, INT J CLIMATOL, V34, P2489, DOI 10.1002/joc.3855
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Fenta AA, 2018, ATMOS RES, V212, P43, DOI 10.1016/j.atmosres.2018.05.009
   Funk C., 2012, A climate trend analysis of Ethiopia, P3053
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gashaw T, 2023, REMOTE SENS APPL, V31, DOI 10.1016/j.rsase.2023.100994
   Gebrechorkos SH, 2019, INT J CLIMATOL, V39, P18, DOI 10.1002/joc.5777
   Geremew GM, 2020, MODEL EARTH SYST ENV, V6, P1177, DOI 10.1007/s40808-020-00749-2
   Gummadi S, 2018, THEOR APPL CLIMATOL, V134, P1315, DOI 10.1007/s00704-017-2340-1
   Hagos SM, 2016, GEOPHYS RES LETT, V43, P1357, DOI 10.1002/2015GL067392
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Jothimani M, 2020, MODEL EARTH SYST ENV, V6, P2377, DOI 10.1007/s40808-020-00820-y
   Kimani MW, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9050430
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mekasha A, 2014, INT J CLIMATOL, V34, P1990, DOI 10.1002/joc.3816
   Assefa KM, 2015, ANN NUTR METAB, V67, P216
   Mladjic B, 2011, J CLIMATE, V24, P2565, DOI 10.1175/2010JCLI3937.1
   Moges MA., 2019, Extremehydrologyandclimatevariability, P59, DOI [10.1016/B978-0-12-815998-9.00006-3, DOI 10.1016/B978-0-12-815998-9.00006-3]
   Mohammed Jemal Ali, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-10666-6
   Mohammed JA, 2022, WEATHER CLIM EXTREME, V37, DOI 10.1016/j.wace.2022.100468
   Mutiibwa D, 2015, J GEOPHYS RES-ATMOS, V120, P7378, DOI 10.1002/2015JD023598
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Pendergrass AG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17966-y
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rossati A, 2017, INT J OCCUP ENV MED, V8, P7, DOI 10.15171/ijoem.2017.963
   Setegn S. G., 2008, Open Hydrology Journal, V2, P49, DOI 10.2174/1874378100802010049
   Stocker, 2014, CLIMATE CHANGE 2013
   Teshome A, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/5235429
   Uhlenbrook S, 2010, HYDROL EARTH SYST SC, V14, P2153, DOI 10.5194/hess-14-2153-2010
   Valencia S, 2023, ATMOS RES, V285, DOI 10.1016/j.atmosres.2023.106643
   van Buuren S, 2011, J STAT SOFTW, V45, P1
   Weldegerima TM, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/5869010
   Westra S, 2013, J CLIMATE, V26, P3904, DOI 10.1175/JCLI-D-12-00502.1
   Worku G, 2019, THEOR APPL CLIMATOL, V135, P839, DOI 10.1007/s00704-018-2412-x
   Wubaye GB, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14030483
   Wubneh Melsew A., 2022, Scientific African, DOI 10.1016/j.sciaf.2022.e01370
   Zhang X., 2004, Climate Research Branch Environment Canada
NR 62
TC 2
Z9 2
U1 4
U2 9
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 2024
VL 196
IS 6
AR 575
DI 10.1007/s10661-024-12722-y
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA SD3V6
UT WOS:001232489900001
PM 38789867
DA 2025-01-10
ER

PT J
AU He, TX
   Zhou, R
   Ma, Q
   Li, CL
   Liu, D
   Fang, XN
   Hu, YA
   Gao, J
AF He, Tianxing
   Zhou, Rui
   Ma, Qun
   Li, Chunlin
   Liu, Dan
   Fang, Xuening
   Hu, Yina
   Gao, Jun
TI Quantifying the effects of urban development intensity on the surface
   urban heat island across building climate zones
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Urban development intensity; Surface urban heat island; Land surface
   temperature; Boosted regression tree; Building climate zone
ID LAND-SURFACE; TEMPORAL VARIATIONS; TEMPERATURE; CHINA; MITIGATION;
   PATTERN; IMPACT
AB Urban heat island (UHI) has gradually been a critical issue in the context of global environmental change and regional sustainability. The urban development intensity (UDI) increases with rapid urbanization and exacerbates the UHI problem, but the effects and contributions of UDI on UHI remain unclear. Based on Landsat 8 satellite images, this study quantified the effects of UDI on surface UHI intensity (SUHII) in 20 important cities across 5 building climate zones of China by using regression analysis, correlation analysis and boosted regression tree (BRT), and analyzed their potential influence mechanisms. Results indicated that there was apparent spatial heterogeneity of SUHII in different building climate zones (ranging from 3.26 degrees C to 4.43 degrees C) and cities (ranging from 1.44 degrees C to 6.61 degrees C). The effect of UDI on SHUII in cities of north was stronger than that in south, the average R2 values of the UDI-SUHII relationship in severe cold zone and cold zone were higher than the other climate zones. Building density, as the most critical predictor of SUHII among UDI metrics in all cities, was significantly positively correlated with SUHII. The R2 values showed significant positive correlation with annual average sunshine duration and aridity, and significant negative correlation with annual average precipitation, humidity and soil clay content. Our findings can offer new insights and decision-support in climate-adapted urban planning and heat-related risk management across different building climate zones.
C1 [He, Tianxing; Zhou, Rui; Ma, Qun; Liu, Dan; Fang, Xuening; Hu, Yina; Gao, Jun] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
   [Zhou, Rui; Ma, Qun; Fang, Xuening; Hu, Yina; Gao, Jun] Yangtze River Delta Urban Wetland Ecosyst Natl Fie, Shanghai 200234, Peoples R China.
   [Li, Chunlin] Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China.
C3 Shanghai Normal University; Chinese Academy of Sciences; Shenyang
   Institute of Applied Ecology, CAS
RP Zhou, R (corresponding author), Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
EM rzhou@shnu.edu.cn
RI Fang, Xuening/AEP-6289-2022; Ma, Qun/HZL-1942-2023; li,
   chunlin/KFS-0761-2024
FU National Natural Science Foun-dation of China [41730642]; General
   Science Foundation of Shanghai Normal University [SK202256, SK202155]
FX This research was supported by the National Natural Science Foun-dation
   of China (No. 41730642) , the General Science Foundation of Shanghai
   Normal University (Nos. SK202256, SK202155) .
CR Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Alavipanah S, 2018, J CLEAN PROD, V177, P115, DOI 10.1016/j.jclepro.2017.12.187
   Battles AC, 2019, GLOBAL CHANGE BIOL, V25, P562, DOI 10.1111/gcb.14509
   Berger C, 2017, REMOTE SENS ENVIRON, V193, P225, DOI 10.1016/j.rse.2017.02.020
   Cao SS, 2022, GISCI REMOTE SENS, V59, P1121, DOI 10.1080/15481603.2022.2100100
   Chen JK, 2021, BUILD ENVIRON, V194, DOI 10.1016/j.buildenv.2021.107650
   Chen SZ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-92271-3
   Cheong YL, 2014, SPAT SPATIO-TEMPORAL, V10, P75, DOI 10.1016/j.sste.2014.05.002
   Chow WTL, 2006, INT J CLIMATOL, V26, P2243, DOI 10.1002/joc.1364
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Elith J., 2015, Boosted regression trees for ecological modeling
   Feng X, 2016, BUILD ENVIRON, V95, P346, DOI 10.1016/j.buildenv.2015.09.019
   Golden HE, 2016, J AM WATER RESOUR AS, V52, P1251, DOI 10.1111/1752-1688.12447
   Guo JM, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102286
   Huang JM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020868
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Hung T, 2006, INT J APPL EARTH OBS, V8, P34, DOI 10.1016/j.jag.2005.05.003
   Lan YL, 2017, BUILD ENVIRON, V125, P88, DOI 10.1016/j.buildenv.2017.08.046
   Lang SW, 2004, ENERG BUILDINGS, V36, P1191, DOI 10.1016/j.enbuild.2003.09.014
   Li X, 2019, J APPL REMOTE SENS, V13, DOI 10.1117/1.JRS.13.044515
   Li XC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be3
   Liu M, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104187
   Lu HM, 2021, INT J APPL EARTH OBS, V104, DOI 10.1016/j.jag.2021.102558
   Ma L, 2021, BUILD ENVIRON, V206, DOI 10.1016/j.buildenv.2021.108348
   Ma Q, 2016, LANDSCAPE ECOL, V31, P1139, DOI 10.1007/s10980-016-0356-z
   Masoudi M, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100743
   Masoudi M, 2019, LANDSCAPE URBAN PLAN, V184, P44, DOI 10.1016/j.landurbplan.2018.10.023
   Mathew A, 2016, SUSTAIN CITIES SOC, V26, P264, DOI 10.1016/j.scs.2016.06.018
   Morabito M, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.142334
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Peng J, 2018, REMOTE SENS ENVIRON, V215, P255, DOI 10.1016/j.rse.2018.06.010
   Peng J, 2016, REMOTE SENS ENVIRON, V173, P145, DOI 10.1016/j.rse.2015.11.027
   Poumadère M, 2005, RISK ANAL, V25, P1483, DOI 10.1111/j.1539-6924.2005.00694.x
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   Ridgeway G., 2007, Update
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Song JC, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103794
   Sun FY, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120706
   Sun RH, 2019, J CLEAN PROD, V208, P743, DOI 10.1016/j.jclepro.2018.10.178
   Unger J, 2006, CLIMATE RES, V30, P215, DOI 10.3354/cr030215
   United Nations, 2022, WORLD URB PROSP 2022
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang J, 2020, ISPRS J PHOTOGRAMM, V159, P78, DOI 10.1016/j.isprsjprs.2019.11.001
   Wang MM, 2020, IEEE J-STARS, V13, P4689, DOI 10.1109/JSTARS.2020.3014586
   Wang MM, 2019, J GEOPHYS RES-ATMOS, V124, P299, DOI 10.1029/2018JD029330
   Wu SH, 2005, SCI CHINA SER D, V48, P1510, DOI 10.1360/04yd0009
   Wu WB, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104499
   Xu HC, 2023, BUILD ENVIRON, V233, DOI 10.1016/j.buildenv.2023.110085
   Yang F, 2010, BUILD ENVIRON, V45, P115, DOI 10.1016/j.buildenv.2009.05.010
   Yang J, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103045
   Yao N, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233906
   Yao R, 2017, SCI TOTAL ENVIRON, V609, P742, DOI 10.1016/j.scitotenv.2017.07.217
   Ye HP, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173415
   Youngsteadt E, 2015, GLOBAL CHANGE BIOL, V21, P97, DOI 10.1111/gcb.12692
   Yu SY, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138229
   Yue WZ, 2019, SCI TOTAL ENVIRON, V671, P1036, DOI 10.1016/j.scitotenv.2019.03.421
   Zhou DC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074009
   Zhou DC, 2016, REMOTE SENS ENVIRON, V176, P272, DOI 10.1016/j.rse.2016.02.010
   Zhou DC, 2014, REMOTE SENS ENVIRON, V152, P51, DOI 10.1016/j.rse.2014.05.017
   Zhou R, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164098
   Zhou WQ, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab107
   Zhou WQ, 2017, REMOTE SENS ENVIRON, V195, P1, DOI 10.1016/j.rse.2017.03.043
NR 63
TC 10
Z9 10
U1 6
U2 23
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 SEP
PY 2023
VL 158
AR 103052
DI 10.1016/j.apgeog.2023.103052
EA JUL 2023
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA O9KP8
UT WOS:001046938700001
DA 2025-01-10
ER

PT J
AU Choquette, NE
   Weldekidan, T
   Brewer, J
   Davis, SB
   Wisser, RJ
   Holland, JB
AF Choquette, Nicole E.
   Weldekidan, Teclemariam
   Brewer, Jason
   Davis, Scott B.
   Wisser, Randall J.
   Holland, James B.
TI Enhancing adaptation of tropical maize to temperate environments using
   genomic selection
SO G3-GENES GENOMES GENETICS
LA English
DT Article; Early Access
DE exotic germplasm; genomic prediction; GenPred ‌; quantitative genetics;
   flowering time
ID GENETIC ARCHITECTURE; FLOWERING-TIME; PLANT; PREDICTION; DIVERSITY;
   EVOLUTION; GERMPLASM; INBREDS; TRAITS; NUMBER
AB Tropical maize can be used to diversify the genetic base of temperate germplasm and help create climate-adapted cultivars. However, tropical maize is unadapted to temperate environments, in which sensitivities to long photoperiods and cooler temperatures result in severely delayed flowering times, developmental defects, and little to no yield. Overcoming this maladaptive syndrome can require a decade of phenotypic selection in a targeted, temperate environment. To accelerate the incorporation of tropical diversity in temperate breeding pools, we tested if an additional generation of genomic selection can be used in an off-season nursery where phenotypic selection is not very effective. Prediction models were trained using flowering time recorded on random individuals in separate lineages of a heterogenous population grown at two northern U.S. latitudes. Direct phenotypic selection and genomic prediction model training was performed within each target environment and lineage, followed by genomic prediction of random intermated progenies in the off-season nursery. Performance of genomic prediction models was evaluated on self-fertilized progenies of prediction candidates grown in both target locations in the following summer season. Prediction abilities ranged from 0.30 to 0.40 among populations and evaluation environments. Prediction models with varying marker effect distributions or spatial field effects had similar accuracies. Our results suggest that genomic selection in a single off-season generation could increase genetic gains for flowering time by more than 50% compared to direct selection in summer seasons only, reducing the time required to change the population mean to an acceptably adapted flowering time by about one-third to one-half.
C1 [Choquette, Nicole E.; Holland, James B.] North Carolina State Univ, Dept Crop & Soil Sci, Raleigh, NC 27695 USA.
   [Weldekidan, Teclemariam; Davis, Scott B.; Wisser, Randall J.] Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19716 USA.
   [Brewer, Jason; Holland, James B.] USDA ARS, Plant Sci Res Unit, Raleigh, NC 27695 USA.
   [Wisser, Randall J.] Univ Montpellier, Inst Agro, Lab Ecophysiol Plantes Stress Environm, INRAE, FR-34000 Montpellier, France.
C3 North Carolina State University; University of Delaware; United States
   Department of Agriculture (USDA); Institut Agro; INRAE; Universite de
   Montpellier
RP Holland, JB (corresponding author), USDA ARS, Plant Sci Res Unit, Raleigh, NC 27695 USA.
EM jim.holland@usda.gov
OI Holland, James/0000-0002-4341-9675
FU Agriculture and Food Research Initiative; USDA National Institute of
   Food and Agriculture [2011-67003-30342, 2019-67013-29170]
FX This work was supported by the Agriculture and Food Research Initiative,
   USDA National Institute of Food and Agriculture, Grant nos.
   2011-67003-30342 and 2019-67013-29170, in addition to INRAE through the
   project EXPOSE (PAF_18). The research funders had no role in the
   research design, execution, analysis, interpretation, and reporting.
CR Amadeu RR, 2016, PLANT GENOME-US, V9, DOI 10.3835/plantgenome2016.01.0009
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Buckler ES, 2009, SCIENCE, V325, P714, DOI 10.1126/science.1174276
   Chardon F, 2004, GENETICS, V168, P2169, DOI 10.1534/genetics.104.032375
   Choquette NE, 2023, NEW PHYTOL, V238, P737, DOI 10.1111/nph.18769
   Cortés AJ, 2021, GENES-BASEL, V12, DOI 10.3390/genes12050783
   Crossa J, 2017, TRENDS PLANT SCI, V22, P961, DOI 10.1016/j.tplants.2017.08.011
   de los Campos G, 2013, GENETICS, V193, P327, DOI 10.1534/genetics.112.143313
   Duvick DN, 2005, ADV AGRON, V86, P83, DOI 10.1016/S0065-2113(05)86002-X
   Falconer D. S., 1996, Introduction to quantitative genetics.
   Flint-Garcia SA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007433
   Frey TJ, 2011, CROP SCI, V51, P1551, DOI 10.2135/cropsci2010.10.0613
   Goodman MM, 2004, MAYDICA, V49, P209
   Goudet J, 2020, HIERFSTAT ESTIMATION
   Gouesnard B, 2002, GENET RESOUR CROP EV, V49, P471, DOI 10.1023/A:1020982827604
   Heffner EL, 2009, CROP SCI, V49, P1, DOI 10.2135/cropsci2008.08.0512
   Holland JB, 1996, CROP SCI, V36, P778, DOI 10.2135/cropsci1996.0011183X003600030041x
   Hufford MB, 2012, NAT GENET, V44, P808, DOI 10.1038/ng.2309
   Jannink JL, 2010, BRIEF FUNCT GENOMICS, V9, P166, DOI 10.1093/bfgp/elq001
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Li Y, 2010, GENET EPIDEMIOL, V34, P816, DOI 10.1002/gepi.20533
   Li Z, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191321
   Liu KJ, 2003, GENETICS, V165, P2117
   Lorenz AJ, 2011, ADV AGRON, V110, P77, DOI 10.1016/B978-0-12-385531-2.00002-5
   Lorenzana RE, 2009, THEOR APPL GENET, V120, P151, DOI 10.1007/s00122-009-1166-3
   Maltecca, 2017, GENETIC DATA ANAL PL
   Manching H, 2017, G3-GENES GENOM GENET, V7, P2161, DOI 10.1534/g3.117.042036
   Meuwissen THE, 2001, GENETICS, V157, P1819
   Mikel MA, 2006, CROP SCI, V46, P1193, DOI 10.2135/cropsci2005.10-0371
   Nelson PT, 2008, CROP SCI, V48, P85, DOI 10.2135/cropsci2007.05.0287
   Pérez P, 2014, GENETICS, V198, P483, DOI 10.1534/genetics.114.164442
   Pollak LM, 2003, ADV AGRON, V78, P45, DOI 10.1016/S0065-2113(02)78002-4
   Ramstein GP, 2020, GENETICS, V215, P215, DOI 10.1534/genetics.120.303025
   Rogers AR, 2022, PLANT GENOME-US, V15, DOI 10.1002/tpg2.20267
   Romay MC, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-6-r55
   Salvi S, 2007, P NATL ACAD SCI USA, V104, P11376, DOI 10.1073/pnas.0704145104
   Samayoa LF, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009797
   Schmidt P, 2019, GENETICS, V212, P991, DOI 10.1534/genetics.119.302134
   SCHWARZ G, 1978, ANN STAT, V6, P461, DOI 10.1214/aos/1176344136
   Smith JS, 2022, CROP SCI, V62, P2039, DOI 10.1002/csc2.20802
   Teixeira JEC, 2015, HEREDITY, V114, P229, DOI 10.1038/hdy.2014.90
   Thompson, 2017, ASREML R REFERENCE M
   VanRaden PM, 2008, J DAIRY SCI, V91, P4414, DOI 10.3168/jds.2007-0980
   Vitezica ZG, 2013, GENETICS, V195, P1223, DOI 10.1534/genetics.113.155176
   Weldekidan T, 2022, J PLANT REGIST, V16, P100, DOI 10.1002/plr2.20181
   White MR, 2020, CROP SCI, V60, P100, DOI 10.1002/csc2.20050
   Wisser RJ, 2019, GENETICS, V213, P1479, DOI 10.1534/genetics.119.302780
   Yu JM, 2009, PLANT GENOME-US, V2, P63, DOI 10.3835/plantgenome2008.09.0009
NR 48
TC 4
Z9 4
U1 3
U2 12
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD 2023 JUL 17
PY 2023
DI 10.1093/g3journal/jkad141
EA JUL 2023
PG 11
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA M8BQ1
UT WOS:001032417400001
PM 37368984
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Arafeh-Dalmau, N
   Olguin-Jacobson, C
   Bell, TW
   Micheli, F
   Cavanaugh, KC
AF Arafeh-Dalmau, Nur
   Olguin-Jacobson, Carolina
   Bell, Tom W.
   Micheli, Fiorenza
   Cavanaugh, Kyle C.
TI Shortfalls in the protection of persistent bull kelp forests in the USA
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Climate adaptation; Climate-smart conservation; Area-based conservation;
   Post 2020-conservation; Conservation planning; Kelp forests; Ecosystem
   resilience; Marine Heatwaves
ID GIANT-KELP; ENVIRONMENTAL CONTROLS; MARINE HEATWAVES; RESILIENCE;
   CONSERVATION; AREAS; BIODIVERSITY; ECOSYSTEMS; COMMUNITIES; PATTERNS
AB Kelp forests are one of the most productive ecosystems on earth, providing critical ecosystem services. Despite their global importance, their persistence in the face of human pressure and climate change is uncertain. We present a 38-year quarterly time series of satellite imagery that maps the distribution and persistence of surface canopy-forming kelp (dominated by the bull kelp, Nereocystis leutkeana) forests along eleven degrees of latitude in the western Pacific of the USA. We estimate kelp persistence as the fraction of years occupied by kelp canopy in the time series and evaluate the representation of kelp in marine protected areas (MPAs). While 3.6 % of kelp habitat is fully protected and 10.1 % is partially protected, only 0.7 % of the highly persistent kelp which may be indicative of climate refugia are fully protected. Regionally, the amount of kelp fully protected inside MPAs decreases from Central Northern California (8.0 %) to Oregon (5.9 %), Northern California (1.7 %), and Washington (0 %). Five years after the 2014-2016 marine heatwaves, kelp forests did not recover in California (similar to 90 % loss for both regions), while Oregon and Washington remained near pre-heatwave values. The low amount of protection in Northern California is concerning and likely exacerbates the vulnerability of kelp and associated species to marine heatwaves. Meeting a target of protecting 10 % of existing kelp habitat will require a 2.5-fold increase in kelp representation in MPAs. Moreover, we propose protecting highly persistent kelp is a cost-effective approach to increase representation and efficacy of MPAs to support climate resilience of kelp forest ecosystems.
C1 [Arafeh-Dalmau, Nur; Cavanaugh, Kyle C.] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA.
   [Arafeh-Dalmau, Nur; Olguin-Jacobson, Carolina; Micheli, Fiorenza] Oceans Dept, Hopkins Marine Stn, Pacific Grove, CA 93950 USA.
   [Arafeh-Dalmau, Nur; Olguin-Jacobson, Carolina; Micheli, Fiorenza] Stanford Ctr Ocean Solut, Pacific Grove, CA 93950 USA.
   [Arafeh-Dalmau, Nur] Univ Queensland, Ctr Biodivers & Conservat Sci, Sch Biol Sci, St Lucia, Qld, Australia.
   [Bell, Tom W.] Woods Hole Oceanog Inst, Dept Appl Ocean Phys & Engn, Woods Hole, MA USA.
C3 University of California System; University of California Los Angeles;
   University of Queensland; Woods Hole Oceanographic Institution
RP Arafeh-Dalmau, N (corresponding author), Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA.
EM n.arafehdalmau@uq.net.au
RI ; Arafeh-Dalmau, Nur/D-4223-2019
OI Olguin Jacobson, Carolina/0000-0002-7063-8363; Arafeh-Dalmau,
   Nur/0000-0001-9053-0037; Micheli, Fiorenza/0000-0002-6865-1438
FU NASA Ocean Biology and Biogeochemistry program [80NSSC21K1429]; Estate
   Winifred Violet Scott (Australia); Nature Conservancy; National Science
   Foundation [2108566]
FX N.A.-D., K.C.C, and T.W.B acknowledge support from the NASA Ocean
   Biology and Biogeochemistry program (80NSSC21K1429) . N.A.- D.
   acknowledges support from the Estate Winifred Violet Scott (Australia)
   for a research grant. K.C.C. and T.W.B acknowledge support from The
   Nature Conservancy. F.M. acknowledges support from the National Science
   Foundation (2108566).
CR [Anonymous], 2010, 10 C PARTIES CONVENT
   Arafeh-Dalmau N., 2022, BIORXIV
   Arafeh-Dalmau N, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00177-9
   Arafeh-Dalmau N, 2020, SCIENCE, V367, P635, DOI 10.1126/science.aba5244
   Arafeh-Dalmau N, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00499
   Babcock RC, 1999, MAR ECOL PROG SER, V189, P125, DOI 10.3354/meps189125
   Bates AE, 2019, BIOL CONSERV, V236, P305, DOI 10.1016/j.biocon.2019.05.005
   Bell T., 2020, ENV DATA INITIATIVE
   Bell TW, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0271477
   Bell TW, 2015, J BIOGEOGR, V42, P2010, DOI 10.1111/jbi.12550
   Blanchette CA, 2008, J BIOGEOGR, V35, P1593, DOI 10.1111/j.1365-2699.2008.01913.x
   Byrnes JE, 2011, GLOBAL CHANGE BIOL, V17, P2513, DOI 10.1111/j.1365-2486.2011.02409.x
   Castorani MCN, 2018, ECOLOGY, V99, P2442, DOI 10.1002/ecy.2485
   Cavanaugh KC, 2023, REMOTE SENS ENVIRON, V290, DOI 10.1016/j.rse.2023.113521
   Cavanaugh KC, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.753531
   Cavanaugh KC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00413
   Cavanaugh KC, 2011, MAR ECOL PROG SER, V429, P1, DOI 10.3354/meps09141
   CBD, 2021, Global biodiversity outlook 5
   Clemente S, 2013, MAR BIOL, V160, P579, DOI 10.1007/s00227-012-2114-3
   Cooley S., 2022, Oceans and coastal ecosystems and their services
   Edgar GJ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0177216
   Edgar GJ, 2014, NATURE, V506, P216, DOI 10.1038/nature13022
   Eger AM, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37385-0
   Eger AM, 2022, BIOL REV, V97, P1449, DOI 10.1111/brv.12850
   Eisaguirre JH, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2993
   Friedlander AM, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229259
   Gleason M, 2013, OCEAN COAST MANAGE, V74, P90, DOI 10.1016/j.ocecoaman.2012.08.013
   Graham MH, 2004, ECOSYSTEMS, V7, P341, DOI 10.1007/s10021-003-0245-6
   Grorud-Colvert K, 2021, SCIENCE, V373, DOI 10.1126/science.abf0861
   Hamilton SL, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1195
   Hamilton SL, 2020, ECOLOGY, V101, DOI 10.1002/ecy.3031
   Hamilton SL, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.1817
   Harvell CD, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau7042
   Hereu B, 2005, MAR BIOL, V146, P293, DOI 10.1007/s00227-004-1439-y
   Hewson I, 2014, P NATL ACAD SCI USA, V111, P17278, DOI 10.1073/pnas.1416625111
   Jacquemont J, 2022, ONE EARTH, V5, P1126, DOI 10.1016/j.oneear.2022.09.002
   Jayathilake DRM, 2021, BIOL CONSERV, V257, DOI 10.1016/j.biocon.2021.109099
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Lester SE, 2009, MAR ECOL PROG SER, V384, P33, DOI 10.3354/meps08029
   Ling SD, 2009, P NATL ACAD SCI USA, V106, P22341, DOI 10.1073/pnas.0907529106
   Malakhoff KD, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2020.3061
   Maxwell SL, 2020, NATURE, V586, P217, DOI 10.1038/s41586-020-2773-z
   McPherson M.L., REMOTE SENSING ENV
   McPherson ML, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-01827-6
   Michaud KM, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-04107-z
   Micheli F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040832
   Mora-Soto A, 2021, J BIOGEOGR, V48, P2562, DOI 10.1111/jbi.14221
   NOAA, 2020, MARINE PROTECTED ARE
   O'Leary JK, 2017, BIOSCIENCE, V67, P208, DOI 10.1093/biosci/biw161
   Oliver ECJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00734
   Pfister CA, 2018, J ECOL, V106, P1520, DOI 10.1111/1365-2745.12908
   Pinsky ML, 2019, NATURE, V569, P108, DOI 10.1038/s41586-019-1132-4
   Roberts CM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0121
   Roberts CM, 2017, P NATL ACAD SCI USA, V114, P6167, DOI 10.1073/pnas.1701262114
   Roberts DA, 1998, REMOTE SENS ENVIRON, V65, P267, DOI 10.1016/S0034-4257(98)00037-6
   Rogers-Bennett L, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51114-y
   Schiel D. R., 2015, The biology and ecology of giant kelp forests, DOI [10.1525/california/9780520278-868.003.0010, DOI 10.1525/CALIFORNIA/9780520278-868.003.0010]
   Selden RL, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.1936
   Shelton AO, 2018, OECOLOGIA, V188, P1105, DOI 10.1007/s00442-018-4263-7
   Smale DA, 2020, NEW PHYTOL, V225, P1447, DOI 10.1111/nph.16107
   Smale DA, 2019, NAT CLIM CHANGE, V9, P306, DOI 10.1038/s41558-019-0412-1
   Smith KE, 2021, SCIENCE, V374, P419, DOI 10.1126/science.abj3593
   Steneck RS, 2002, ENVIRON CONSERV, V29, P436, DOI 10.1017/S0376892902000322
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   TEGNER MJ, 1981, MAR ECOL PROG SER, V5, P255, DOI 10.3354/meps005255
   Tolimieri N, 2023, MAR ECOL PROG SER, V703, P47, DOI 10.3354/meps14220
   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
   Wernberg T, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20009-9
   Wernberg T, 2016, SCIENCE, V353, P169, DOI 10.1126/science.aad8745
   Young M, 2016, ECOL MONOGR, V86, P45, DOI 10.1890/15-0267.1
   Ziegler SL, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28507-1
NR 73
TC 5
Z9 5
U1 4
U2 22
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD JUL
PY 2023
VL 283
AR 110133
DI 10.1016/j.biocon.2023.110133
EA JUN 2023
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA K0IY2
UT WOS:001013383000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Gardner, H
   Onofre, KFA
   De Wolf, ED
AF Gardner, Heather
   Onofre, Kelsey F. Andersen
   De Wolf, Erick D.
TI Characterizing the Response of Puccinia striiformis f. sp. tritici to
   Periods of Heat Stress that Are Common in Kansas and the Great Plains
   Region of North America
SO PHYTOPATHOLOGY
LA English
DT Article; Early Access
DE climate adaptation; pathogen fitness; yellow rust
ID PREDICTING STRIPE RUST; WINTER-WHEAT; LOCAL ADAPTATION; TEMPERATURE;
   POPULATIONS; AGGRESSIVENESS; EPIDEMIOLOGY; GERMINATION; MECHANISMS;
   RESISTANCE
AB Stripe rust of wheat, caused by Puccinia striiformis f. sp. tritici, is considered a disease of cool environments, and it has been observed that high temperatures can suppress disease development. However, recent field observations in Kansas suggest that the pathogen may be recovering from heat stress more quickly than expected. Previous research indicates that some strains of this pathogen were adapted to warm temperature regimes but did not consider how the pathogen responds to periods of heat stress that are common in the Great Plains region of North America. Therefore, the objectives of this study were to characterize the response of contemporary isolates of P. striiformis f. sp. tritici to periods of heat stress and to look for evidence of temperature adaptations within the pathogen population. These experiments evaluated nine isolates of the pathogen: eight isolates collected in Kansas between 2010 and 2021 and a historical reference isolate. Treatments compared the latent period and colonization rate of isolates given a cool temperature regime (12 to 20 degrees C) and as they recovered from 7 days of heat stress (22 to 35 degrees C). Results documented that contemporary isolates of the pathogen had similar latent periods and colonization rates as the historical reference under the cool temperature regime. Following exposure to 7 days of heat stress, the contemporary isolates had shorter latent periods and higher colonization rates than the historical isolate. There was also variability in how the contemporary isolates recovered from heat stress, with some isolates collected during 2019 to 2021 recovering sooner than those collected just 5 to 10 years ago.
C1 [Gardner, Heather; Onofre, Kelsey F. Andersen; De Wolf, Erick D.] Kansas State Univ, Dept Plant Pathol, Manhattan, KS 66506 USA.
C3 Kansas State University
RP De Wolf, ED (corresponding author), Kansas State Univ, Dept Plant Pathol, Manhattan, KS 66506 USA.
EM dewolf1@ksu.edu
FU The author(s) declare no conflict of interest.
FX The author(s) declare no conflict of interest.
CR Chen XM, 2007, AUST J AGR RES, V58, P648, DOI 10.1071/AR07045
   Chen X. M., 2013, American Journal of Plant Sciences, V4, P608
   Chen XM, 2005, CAN J PLANT PATHOL, V27, P314
   Chen XM, 2002, PLANT DIS, V86, P39, DOI 10.1094/PDIS.2002.86.1.39
   COAKLEY SM, 1988, PHYTOPATHOLOGY, V78, P543, DOI 10.1094/Phyto-78-543
   COAKLEY SM, 1982, PHYTOPATHOLOGY, V72, P1539, DOI 10.1094/Phyto-72-1539
   de Vallavieille-Pope C, 2018, PLANT PATHOL, V67, P1307, DOI 10.1111/ppa.12840
   DENNIS JI, 1987, T BRIT MYCOL SOC, V88, P91, DOI 10.1016/S0007-1536(87)80189-4
   DEVALLAVIEILLEPOPE C, 1995, PHYTOPATHOLOGY, V85, P409, DOI 10.1094/Phyto-85-409
   Gao XS, 2022, J FUNGI, V8, DOI 10.3390/jof8020175
   Gladders P, 2007, ANN APPL BIOL, V150, P371, DOI 10.1111/j.1744-7348.2007.00131.x
   Hau B., 1998, The Epidemiology of Plant Diseases
   Hovmoller MS, 2008, MOL ECOL, V17, P3818, DOI 10.1111/j.1365-294X.2008.03886.x
   Hovmoller MS, 2011, ANNU REV PHYTOPATHOL, V49, P197, DOI 10.1146/annurev-phyto-072910-095230
   Kranz J., 2003, Comparative epidemiology of plant diseases, DOI DOI 10.1007/978-3-662-05261-7
   Leach MD, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11704
   Leach MD, 2014, CURR FUNGAL INFECT R, V8, P185, DOI 10.1007/s12281-014-0182-1
   Line RF, 2002, ANNU REV PHYTOPATHOL, V40, P75, DOI 10.1146/annurev.phyto.40.020102.111645
   LING L, 1945, PHYTOPATHOLOGY, V35, P885
   Loladze A, 2014, PLANT PATHOL, V63, P572, DOI 10.1111/ppa.12132
   Lollato RP, 2017, FIELD CROP RES, V203, P212, DOI 10.1016/j.fcr.2016.12.014
   Mariette N, 2016, ECOL EVOL, V6, P6320, DOI 10.1002/ece3.2282
   Markell SG, 2008, PHYTOPATHOLOGY, V98, P632, DOI 10.1094/PHYTO-98-6-0632
   Mboup M, 2012, EVOL APPL, V5, P341, DOI 10.1111/j.1752-4571.2011.00228.x
   Milus EA, 2006, PLANT DIS, V90, P847, DOI 10.1094/PD-90-0847
   Milus EA, 2009, PHYTOPATHOLOGY, V99, P89, DOI 10.1094/PHYTO-99-1-0089
   Munday PL, 2017, GLOBAL CHANGE BIOL, V23, P307, DOI 10.1111/gcb.13419
   O'Hare G., 2005, Weather, Climate and Climate Change: Human Perspectives
   Palumbi SR, 2014, SCIENCE, V344, P895, DOI 10.1126/science.1251336
   PARK RF, 1990, PLANT PATHOL, V39, P416, DOI 10.1111/j.1365-3059.1990.tb02517.x
   QAYOUM A, 1985, PHYTOPATHOLOGY, V75, P1121, DOI 10.1094/Phyto-75-1121
   RAPILLY F, 1979, ANNU REV PHYTOPATHOL, V17, P59, DOI 10.1146/annurev.py.17.090179.000423
   Roelfs A. P., 1992, Rust Diseases of Wheat: Concepts and Methods of Disease Management
   Sharma-Poudyal D, 2011, PHYTOPATHOLOGY, V101, P544, DOI 10.1094/PHYTO-08-10-0215
   Sully S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09238-2
   TOLLENAAR H, 1966, PHYTOPATHOLOGY, V56, P787
   van den Berg F, 2007, PHYTOPATHOLOGY, V97, P1512, DOI 10.1094/PHYTO-97-11-1512
   Walter S, 2016, ECOL EVOL, V6, P2790, DOI 10.1002/ece3.2069
   Xia HQ, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.695535
   Xiao W, 2022, APPL MICROBIOL BIOT, V106, P5415, DOI 10.1007/s00253-022-12119-2
   Zhan JS, 2011, MOL ECOL, V20, P1689, DOI 10.1111/j.1365-294X.2011.05023.x
NR 41
TC 0
Z9 0
U1 0
U2 2
PU AMER PHYTOPATHOLOGICAL SOC
PI ST PAUL
PA 3340 PILOT KNOB ROAD, ST PAUL, MN 55121 USA
SN 0031-949X
EI 1943-7684
J9 PHYTOPATHOLOGY
JI Phytopathology
PD 2023 APR 25
PY 2023
DI 10.1094/PHYTO-12-22-0475
EA APR 2023
PG 8
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA S5LN5
UT WOS:001071581500001
DA 2025-01-10
ER

PT J
AU Wang, PC
   Liu, ZB
   Zhang, XY
   Zhang, HM
   Chen, X
   Zhang, L
AF Wang, Pengcheng
   Liu, Zhongbing
   Zhang, Xiaoyang
   Zhang, Hangming
   Chen, Xi
   Zhang, Ling
TI Adaptive building roof combining variable transparency shape-stabilized
   phase change material: Application potential and adaptability in
   different climate zones
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Experiment; Optimization; Adaptive building roof; Climate adaptability;
   Energy savings
ID SYSTEMS; MODEL
AB The development of adaptive building envelopes to achieve building energy efficiency is significant for reducing carbon emissions. This study proposed an adaptive building roof by utilizing the variable transparency char-acteristics of shape-stabilized phase change material. The envelope can regulate solar absorptivity in response to changes in ambient temperature to reduce unexpected heat gain or heat loss. A mathematical model was developed and verified by experiments. On this basis, the impacts of key parameters, including the melting temperature, thickness, extinction coefficient of phase change material, and the reflectivity of reflective film, on the envelope performance were investigated. Finally, the typical daily, seasonal and annual dynamic perfor-mance was compared between the new roof and the common insulation roof in different climate zones. The results show that the optimal melting temperature and thickness of the phase change material are 24 C and 8 mm in Beijing, 24 C and 4 mm in Changsha and Guangzhou, and 21 C and 5 mm in Urumqi. In the four cities, the optimal extinction coefficients of the phase change material in the transparent/opaque state are 10 m(-1) and 250m-1and the optimal reflectivity of reflective film is 0.95. In Beijing, Changsha, Guangzhou, and Urumqi, the cumulative annual loads are 55 kWh/m(2), 42 kWh/m(2), 22 kWh/m(2), and 85 kWh/m(2), respectively. The corre-sponding energy-saving rates are 14.06%, 17.65%, 31.25%, and 9.57%. The new roof has better performance in Cwa and Cfa climate areas. This study provides theoretical guidance for the application and optimization of the new roof in different climatic regions.
C1 [Wang, Pengcheng; Liu, Zhongbing; Zhang, Xiaoyang; Zhang, Hangming; Chen, Xi; Zhang, Ling] Hunan Univ, Coll Civil Engn, Changsha 410082, Peoples R China.
   [Wang, Pengcheng; Liu, Zhongbing; Zhang, Xiaoyang; Zhang, Hangming; Chen, Xi; Zhang, Ling] Hunan Univ, Key Lab Bldg Safety & Energy Efficiency, Minist Educ, Changsha 410082, Peoples R China.
C3 Hunan University; Hunan University
RP Liu, ZB (corresponding author), Hunan Univ, Coll Civil Engn, Changsha 410082, Peoples R China.
EM zhongbingliu@hnu.edu.cn
RI Xi, Chen/IUO-9516-2023
FU National Natural Science Foundation of China [52078198]; Fundamental
   Research Funds for the Central Universities [531118010427]
FX Acknowledgment The work is sponsored by the National Natural Science
   Foundation of China (Grant NO. 52078198) and the Fundamental Research
   Funds for the Central Universities (Grant NO. 531118010427) .
CR Alkhatib H, 2021, APPL THERM ENG, V185, DOI 10.1016/j.applthermaleng.2020.116331
   [Anonymous], 1956, HEAT PIP AIR COND
   Beltrán RD, 2019, J BUILD ENG, V24, DOI 10.1016/j.jobe.2019.02.018
   Dehwah AHA, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110649
   Dehwah AHA, 2020, BUILD ENVIRON, V177, DOI 10.1016/j.buildenv.2020.106882
   EnergyPlus, About us
   Fracastoro G.V., 1997, PROCEEDINGS, P477
   Ghosh A, 2018, RENEW ENERG, V126, P1003, DOI 10.1016/j.renene.2018.04.038
   Goia F, 2012, ENERG BUILDINGS, V54, P141, DOI 10.1016/j.enbuild.2012.07.036
   Guldentops G, 2018, ENERG BUILDINGS, V167, P240, DOI 10.1016/j.enbuild.2018.02.054
   Hu JY, 2020, CONSTR BUILD MATER, V262, DOI 10.1016/j.conbuildmat.2020.120481
   International Energy Agency, 2021, US
   Jin Q, 2022, ENERG BUILDINGS, V257, DOI 10.1016/j.enbuild.2021.111734
   Khattari Y, 2020, J ENERGY STORAGE, V28, DOI 10.1016/j.est.2020.101239
   Kishore RA, 2021, APPL THERM ENG, V187, DOI 10.1016/j.applthermaleng.2021.116568
   Li W, 2019, SOL ENERGY, V188, P706, DOI 10.1016/j.solener.2019.06.052
   Liu Y, 2019, ENERG BUILDINGS, V190, P144, DOI 10.1016/j.enbuild.2019.02.032
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Luo YQ, 2017, ENERGY, V140, P584, DOI 10.1016/j.energy.2017.09.015
   Mishra P, 2020, SOL ENERGY, V197, P222, DOI 10.1016/j.solener.2019.12.064
   Moazzen N, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111487
   Ong KS, 2003, RENEW ENERG, V28, P1047, DOI 10.1016/S0960-1481(02)00057-5
   OUYANG K, 1991, BUILD ENVIRON, V26, P173, DOI 10.1016/0360-1323(91)90024-6
   Qiao YH, 2019, BUILD ENVIRON, V160, DOI 10.1016/j.buildenv.2019.106191
   Rathore PKS, 2021, ENERG BUILDINGS, V236, DOI 10.1016/j.enbuild.2021.110799
   Royapoor M, 2018, ENERG BUILDINGS, V158, P453, DOI 10.1016/j.enbuild.2017.10.022
   Tabadkani A, 2021, AUTOMAT CONSTR, V121, DOI 10.1016/j.autcon.2020.103450
   Wang PC, 2022, ENERG BUILDINGS, V263, DOI 10.1016/j.enbuild.2022.112030
   Wang PC, 2021, ENERG BUILDINGS, V252, DOI 10.1016/j.enbuild.2021.111403
   Wang PC, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103035
   Wu ZH, 2022, ENERGY, V240, DOI 10.1016/j.energy.2021.122473
   Xu L, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110398
   Yang YY, 2020, CONSTR BUILD MATER, V246, DOI 10.1016/j.conbuildmat.2020.118479
   Zhou YK, 2018, APPL THERM ENG, V144, P1091, DOI 10.1016/j.applthermaleng.2018.04.083
   US
NR 35
TC 15
Z9 17
U1 6
U2 21
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD AUG 15
PY 2022
VL 222
AR 109436
DI 10.1016/j.buildenv.2022.109436
PG 17
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 6Z1HB
UT WOS:000897531300004
DA 2025-01-10
ER

PT J
AU Maldonado, J
   Wang, IFC
   Eningowuk, F
   Iaukea, L
   Lascurain, A
   Lazrus, H
   Naquin, CA
   Naquin, JR
   Nogueras-Vidal, KM
   Peterson, K
   Rivera-Collazo, I
   Souza, MK
   Stege, M
   Thomas, B
AF Maldonado, Julie
   Wang, Itzel Flores Castillo
   Eningowuk, Fred
   Iaukea, Lesley
   Lascurain, Aranzazu
   Lazrus, Heather
   Naquin, Chief Albert
   Naquin, J. R.
   Nogueras-Vidal, Kukuya Margarita
   Peterson, Kristina
   Rivera-Collazo, Isabel
   Souza, M. Kalani
   Stege, Mark
   Thomas, Bill
TI Addressing the challenges of climate-driven community-led resettlement
   and site expansion: knowledge sharing, storytelling, healing, and
   collaborative coalition building
SO JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
LA English
DT Article
DE Community-led resettlement; Site expansion; Indigenous knowledge;
   Climate adaptation; Coalition building; Knowledge sharing
ID SEA-LEVEL RISE; HURRICANE MARIA; PUERTO-RICO; VULNERABILITY; COASTAL;
   IMPACT
AB Presently coastal areas globally are becoming unviable, with people no longer able to maintain livelihoods and settlements due to, for example, increasing floods. storm surges. coastal erosion, and sea level rise, yet there exist significant policy obstacles and practical and regulatory challenges to community-led and community-wide responses. For many receiving support only at the individual level for relocation or other adaptive responses. individual and community harm is perpetuated through the loss of culture and identity incurred through forced assimilation policies. Often, challenges dealt to frontline communities are founded on centuries of injustices. Can these challenges of both norms and policies be addressed? Can we develop socially, culturally. environmentally, and economically just sustainable adaptation processes that supports community responses, maintenance and evolution of traditions, and rejuvenates regenerative life-supporting ecosystems? This article brings together Indigenous community leaders, knowledge-holders, and allied collaborators from Louisiana, Hawaii, Alaska, Borilcen/Puerto Rico, and the Marshall Islands, to share their stories and lived experiences of the relocation and other adaptive challenges in their homelands and territories, the obstacles posed by the state or regional governments in community adaptation efforts, ideas for transforming the research paradigm from expecting communities to answer scientific questions to having scientists address community priorities, and the healing processes that communities are employing. The contributors are connected through the Rising Voices Center for Indigenous and Earth Sciences, which brings together Indigenous, tribal, and community leaders, atmospheric. social, biological, and ecological scientists, students, educators, and other experts, and facilitates intercultural, relational-based approaches for understanding and adapting to extreme weather and climate events, climate variability, and climate change.
C1 [Maldonado, Julie] UC Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.
   [Maldonado, Julie; Wang, Itzel Flores Castillo] Livelihoods Knowledge Exchange Network, Lexington, KY 40503 USA.
   [Iaukea, Lesley] Univ Hawaii Manoa, Honolulu, HI 96822 USA.
   [Lascurain, Aranzazu] Southeast Climate Adaptat Sci Ctr, Raleigh, NC USA.
   [Lazrus, Heather] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA.
   [Naquin, Chief Albert; Naquin, J. R.] Isle Jean Charles Biloxi Chitimacha Choctaw India, Terrebonne, LA USA.
   [Nogueras-Vidal, Kukuya Margarita] Comunidad Tribu Yuke Jayuya, Jayuya, PR USA.
   [Peterson, Kristina] Lowlander Ctr, Gray, LA USA.
   [Rivera-Collazo, Isabel] Univ Calif San Diego, San Diego, CA 92103 USA.
   [Souza, M. Kalani] Univ Hawaii, Olohana Fdn, Natl Disaster Training Preparedness Ctr FEMA, Honolulu, HI 96822 USA.
   [Stege, Mark] Maloelap Atol Local Govt, Majuro, Marshall Island.
   [Thomas, Bill] NOAA, Washington, DC USA.
C3 University of California System; University of California Santa Barbara;
   University of Hawaii System; University of Hawaii Manoa; National Center
   Atmospheric Research (NCAR) - USA; University of California System;
   University of California San Diego; University of Hawaii System;
   National Oceanic Atmospheric Admin (NOAA) - USA
RP Maldonado, J (corresponding author), UC Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.; Maldonado, J (corresponding author), Livelihoods Knowledge Exchange Network, Lexington, KY 40503 USA.
EM jmaldonado@likenknowledge.org
RI Rivera-Collazo, Isabel/O-7808-2019
OI Maldonado, Julie/0000-0001-8165-4396
FU University Corporation for Atmospheric Research, National Center for
   Atmospheric Research, National Oceanic and Atmospheric Administration's
   Office for Coastal Management
FX This work is funded by the University Corporation for Atmospheric
   Research, National Center for Atmospheric Research, National Oceanic and
   Atmospheric Administration's Office for Coastal Management.
CR [Anonymous], 2015, RES RES STRAT CAS IS
   [Anonymous], 2020, IDJC BCC ISLE JEAN C
   Barreto-Orta M., 2019, Shore Beach, V87, P16
   Bell R, 2021, J OPER OCEANOGR, V14, P98, DOI 10.1080/1755876X.2019.1684136
   Bhardwaj A, 2018, CLIMATIC CHANGE, V147, P133, DOI 10.1007/s10584-017-2130-x
   Boger R., 2019, Journal of Anthropology and Archaeology, V7, P1
   Bowles Nellie, 2018, NEW YORK TIMES
   Butterworth MK, 2017, ENVIRON HEALTH PERSP, V125, P579, DOI 10.1289/EHP218
   Comardelle C, 2020, NONPROFIT Q
   Dermansky J, 2019, DESMOG          0111
   Dermansky Julie., 2019, Desmog
   Ezcurra P, 2018, J CULT HERIT, V32, P198, DOI 10.1016/j.culher.2018.01.016
   Ferré IM, 2019, DISASTER MED PUBLIC, V13, P18, DOI 10.1017/dmp.2018.103
   Frankson R, 2017, LOUISIANA STATE SUMM
   GAO [Government Accountability Office], 2020, CLIM MIGR PIL PROGR
   Gould W.A., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, P809, DOI [10.7930/NCA4.2018.CH20, DOI 10.7930/NCA4.2018.CH20]
   Hansen J., 2015, Atmos. Chem. Phys. Discuss, V15, P20059
   Hauer ME, 2016, NAT CLIM CHANGE, V6, P691, DOI [10.1038/nclimate2961, 10.1038/NCLIMATE2961]
   HDR with RIM First People S Cox and F Eningowuk, 2016, SHISHMAREF STRATEGIC
   Hopkinson CS, 2008, FRONT ECOL ENVIRON, V6, P255, DOI 10.1890/070153
   Jessee N., 2020, Louisiana's Response to Extreme Weather, P147
   Keellings D, 2019, GEOPHYS RES LETT, V46, P2964, DOI 10.1029/2019GL082077
   Letman J., 2018, NATL GEOGR
   Louisiana Office of Community Development-Disaster Recovery Unit, 2019, STATE LOUISIANA SUBS
   Maldonado J, 2020, EOS, V101, DOI 10.1029/2020EO150527
   Maldonado JulieKoppel., 2019, SEEKING JUSTICE ENER
   Marino, 2019, LAW POLICY ADAPTION
   Marino E, 2015, FIERCE CLIMATE SACRED GROUND: AN ETHNOGRAPHY OF CLIMATE CHANGE IN SHISHMAREF, ALASKA, P1
   Mercado-Irizarry A., 2017, SEA LEVEL RISE UNPUB
   Ramos-Scharrón CE, 2022, PHYS GEOGR, V43, P163, DOI 10.1080/02723646.2020.1801121
   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]
   Rights and Resources Initiative, 2019, STAT INT PAN CLIM CH
   Rising Voices, 2015, ANN WORKSH NAT CTR A
   Rising Voices, 2019, ANN WORKSH NAT CTR A
   Rising Voices, 2020, VIRT RIS VOIC 8 WORK
   Rising Voices, 2018, ANN WORKSH DUL MN AP
   Rising Voices, 2016, ANN WORKSH HAW ISL J
   Rivera-Collazo IC, 2020, J ISL COAST ARCHAEOL, V15, P244, DOI 10.1080/15564894.2019.1570987
   Rivera-Collazo IC, 2018, ENVIRON ARCHAEOL, V23, P97, DOI 10.1080/14614103.2017.1342397
   Rivero M.O.L., 2018, Loyola Maritime Law Journal, V17, P63
   RMI [Republic of the Marshall Islands], 2014, REP MARSH ISL NAT AC
   Seara T, 2020, COAST MANAGE, V48, P418, DOI 10.1080/08920753.2020.1795969
   Silva D., 2018, NBC News
   Stege M, 2018, LIMITS CLIMATE CHANG
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   USGCRP [US Global Change Research Program], 2017, CLIM SCI SPEC REP SU
   UUSC Legal Justice Coalition and Rising Voices Community Relocation/Site Expansion Working Group [UUSC and Rising Voices-Working Group], 2021, POLICY RECOMMENDATIO
   Whyte KylePowys., 2018, OXFORD HDB FOOD ETHI
   Yeoman Barry., 2020, SEA LEVEL RISE THREA
NR 49
TC 11
Z9 15
U1 4
U2 21
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2190-6483
EI 2190-6491
J9 J ENVIRON STUD SCI
JI J. Environ. Stud. Sci.
PD SEP
PY 2021
VL 11
IS 3
SI SI
BP 294
EP 304
DI 10.1007/s13412-021-00695-0
EA JUN 2021
PG 11
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA UC8PF
UT WOS:000657188900001
PM 34099966
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Hitchings, R
AF Hitchings, Russell
TI A curiosity driven approach to air-conditioning on the Arabian
   Peninsula: Comparing the accounts of three resident groups in Qatar
SO GEOFORUM
LA English
DT Article
DE Qatar; Air-conditioning; Interviews; Everyday life; Fieldwork;
   Curiosity; Academic critique; Social theory
ID THERMAL COMFORT; URBAN SUSTAINABILITY; ADAPTATION; SPACE; MODERNITY;
   BEHAVIOR; WEATHER; OFFICES; SUMMER; CONDIS
AB The assumption that people should be surrounded by air that has been cooled to meet their presumed needs encourages an undifferentiated and disengaged relationship between local climate and everyday life. It is also leading to huge, and growing, levels of energy consumption. One important research challenge is therefore to identify how existing variation in climate adaptation cultures might be harnessed in fighting the further spread of this assumption. Examining how different groups see their relationship with air-conditioning could be part of this and Doha, the capital of Qatar, provides an excellent place in which to explore the potential of such a strategy. Air-conditioning was eagerly adopted by Qataris after the nationalisation of their oil and gas reserves soon made them some of the wealthiest people in the world. In recent years, however, local officials have started to consider the social and environmental benefits of other ways of living with the desert heat. This paper reports on a project that sought to produce an engaging body of evidence by comparing how older Qatari nationals, expatriate professionals, and younger Qatari nationals spoke of their ongoing relationship with air-conditioning. In so doing, it reflects on different ways of defining the purpose of empirical research in human geography to highlight the continued value of being curious about the hitherto unknown subjectivities that await us in the field. In this case, this was despite the popularity of conceptually informed analysis in cultural studies of air-conditioning and the critical commentator position in relevant accounts of urban change in the region.
C1 [Hitchings, Russell] UCL, Dept Geog, London WC1E 6BT, England.
C3 University of London; University College London
RP Hitchings, R (corresponding author), UCL, Dept Geog, London WC1E 6BT, England.
EM r.hitchings@ucl.ac.uk
FU Qatar National Research Fund [NPRP 7-1495-6-042]
FX The project discussed in this paper was supported by the Qatar National
   Research Fund [grant number NPRP 7-1495-6-042] as part of a broader
   examination of air-conditioning in Qatar that involved collaboration
   with Tim Winter, Jiat-Hwee Chang, Trinidad Rico and Donald McNeill. The
   interviews in Doha were undertaken with the assistance of Mohana
   Rajakumar and Dalia Elsayed.
CR Ackermann M.E., 2002, COOL COMFORT AMERICA
   [Anonymous], SUSTAINABLE DEV APPR
   [Anonymous], 2018, The Economist
   ARSENAULT R, 1984, J SOUTHERN HIST, V50, P597, DOI 10.2307/2208474
   Badawi A, 2012, J PUBLIC HEALTH RES, V1, P229, DOI 10.4081/jphr.2012.e36
   Brager GS, 2003, BUILDINGS, CULTURE AND ENVIRONMENT, P177, DOI 10.1002/9780470759066.ch11
   Caprotti F., 2014, INT J URBAN REGIONAL, V37, P1947
   Cass N., 2018, ARCHIT SCI REV, V27, P1
   Chang JH, 2015, J ARCHITECTURE, V20, P92, DOI 10.1080/13602365.2015.1010095
   Chang Jiat-Hwee., 2016, A Genealogy of Tropical Architecture: Colonial Networks, Nature and Technoscience
   Chappells H, 2005, BUILD RES INF, V33, P32, DOI 10.1080/0961321042000322762
   Clear Adrian., 2014, Proceedings of the 2014 conference on Designing interactive systems, P1015, DOI DOI 10.1145/2598510.2598529
   Cooper Gail., 2002, Air-Conditioning America: Engineers and the Controlled Environment, 1900-1960
   COWAN RS, 1992, ENERG BUILDINGS, V18, P265
   de Vet E, 2017, WEATHER CLIM SOC, V9, P141, DOI 10.1175/WCAS-D-15-0069.1
   DEDEAR RJ, 1992, ENERG BUILDINGS, V18, P260, DOI 10.1016/0378-7788(92)90020-H
   Degen M, 2017, J CONSUM CULT, V17, P3, DOI 10.1177/1469540515572238
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Fromherz A., 2017, Qatar: Rise to Power and Influence
   Fuller S, 2013, AREA, V45, P63, DOI 10.1111/j.1475-4762.2012.01105.x
   Graham S., 2015, City, V19, P192, DOI DOI 10.1080/13604813.2015.1014710
   Günel G, 2018, INT J MIDDLE E STUD, V50, P573, DOI 10.1017/S0020743818000570
   Gunel Gokce., 2019, Spaceship in the Desert: Energy, Climate Change, and Urban Design in Abu Dhabi
   Healey K, 2012, ARCHIT SCI REV, V55, P169, DOI 10.1080/00038628.2012.688014
   Hitchings R, 2008, J MAT CULT, V13, P251, DOI 10.1177/1359183508095495
   Hitchings R, 2020, PROG HUM GEOG, V44, P389, DOI 10.1177/0309132519856412
   Hitchings R, 2017, HEALTH PLACE, V46, P300, DOI 10.1016/j.healthplace.2017.04.009
   Hitchings R, 2015, ENERGY RES SOC SCI, V8, P162, DOI 10.1016/j.erss.2015.05.007
   Hitchings R, 2014, GEOFORUM, V54, P103, DOI 10.1016/j.geoforum.2014.04.007
   Hitchings R, 2011, ENVIRON PLANN A, V43, P2838, DOI 10.1068/a43574
   Indraganti M, 2018, BUILD SERV ENG RES T, V39, P391, DOI 10.1177/0143624417751388
   Indraganti M, 2018, ENERG BUILDINGS, V159, P201, DOI 10.1016/j.enbuild.2017.10.087
   Indraganti M, 2017, ENERG BUILDINGS, V150, P23, DOI 10.1016/j.enbuild.2017.05.063
   Kassim R., 2018, LEARNING RULES GAME
   Koch N, 2018, SOC NATUR RESOUR, V31, P525, DOI 10.1080/08941920.2017.1383546
   Koch N, 2016, ENVIRON PLANN D, V34, P807, DOI 10.1177/0263775816656524
   Koch N, 2014, URBAN GEOGR, V35, P1118, DOI 10.1080/02723638.2014.952538
   Latham A, 2019, INT J URBAN REGIONAL, V43, P1148, DOI 10.1111/1468-2427.12832
   Luomi M., 2012, GULF MONARCHIES CLIM
   Majid NHA, 2014, HVAC&R RES, V20, P751, DOI 10.1080/10789669.2014.953845
   Melhuish C, 2016, CITY SOC, V28, P222, DOI 10.1111/ciso.12080
   Mohammad R, 2016, ANN AM ASSOC GEOGR, V106, P1397, DOI 10.1080/24694452.2016.1209402
   Molotch Harvey., 2019, The New Arab Urban: Gulf Cities of Wealth, Ambition and Distress
   Nagy Sharon., 2000, CITY SOC, V12, P125, DOI [10.1525/city.2000.12.1.125, DOI 10.1525/CITY.2000.12.1.125]
   Nicol JF, 2017, BUILD RES INF, V45, P711, DOI 10.1080/09613218.2017.1301698
   Phillips R, 2014, PROG HUM GEOG, V38, P493, DOI 10.1177/0309132513506271
   Phillips R, 2012, GEOGRAPHY, V97, P78
   Phillips R, 2010, T I BRIT GEOGR, V35, P447, DOI 10.1111/j.1475-5661.2010.00393.x
   Potter J., 2005, QUAL RES PSYCHOL, V2, P281, DOI DOI 10.1191/1478088705QP045OA
   PRINS G, 1992, ENERG BUILDINGS, V18, P251, DOI 10.1016/0378-7788(92)90017-B
   Pryke M., 2003, Using social theory
   Rizzo A, 2014, CITIES, V39, P50, DOI 10.1016/j.cities.2014.02.005
   ROSA EA, 1992, ENERG BUILDINGS, V18, P264, DOI 10.1016/0378-7788(92)90023-A
   Sahakian M., 2014, KEEPING COOL S E ASI
   Sennett Richard., 2012, TOGETHER RITUALS PLE
   Shove Elisabeth., 2003, COMFORT CLEANLINESS
   Shove E, 2008, BUILD RES INF, V36, P307, DOI 10.1080/09613210802079322
   Shove E, 2014, URBAN STUD, V51, P1506, DOI 10.1177/0042098013500084
   Strengers Y, 2017, ENVIRON PLANN A, V49, P1432, DOI 10.1177/0308518X17694029
   Strengers Y, 2011, BUILD RES INF, V39, P154, DOI 10.1080/09613218.2011.562720
   van Hoof J, 2008, INDOOR AIR, V18, P182, DOI 10.1111/j.1600-0668.2007.00516.x
   Waitt G, 2015, GEOFORUM, V59, P30, DOI 10.1016/j.geoforum.2014.12.001
   Waitt G, 2014, GENDER PLACE CULT, V21, P666, DOI 10.1080/0966369X.2013.802668
   Wilhite Harold., 2008, Consumption and the Transformation of Everyday Life. View from South India
   Winchester H.P.M., 2010, Qualitative research methods in human geography
   Winter T, 2016, URBAN STUD, V53, P3264, DOI 10.1177/0042098015608782
   Winter T, 2016, J ARCHITECTURE, V21, P418, DOI 10.1080/13602365.2016.1180631
   Woodyer T, 2013, PROG HUM GEOG, V37, P195, DOI 10.1177/0309132512460905
NR 68
TC 5
Z9 5
U1 1
U2 11
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 2020
VL 111
BP 116
EP 124
DI 10.1016/j.geoforum.2020.03.001
PG 9
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA LD1GB
UT WOS:000525779200011
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Tranmer, AW
   Weigel, D
   Marti, CL
   Vidergar, D
   Benjankar, R
   Tonina, D
   Goodwin, P
   Imberger, J
AF Tranmer, Andrew W.
   Weigel, Dana
   Marti, Clelia L.
   Vidergar, Dmitri
   Benjankar, Rohan
   Tonina, Daniele
   Goodwin, Peter
   Imberger, Jorg
TI Coupled reservoir-river systems: Lessons from an integrated aquatic
   ecosystem assessment
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Reservoir-river system; Ecosystem assessment; Adaptive management;
   Climatic adaptation; Environmental flows
ID FOOD-WEB CONSEQUENCES; SALMO-SALAR L.; HABITAT USE; CUTTHROAT TROUT; GUT
   CONTENTS; EVOLUTIONARY ALGORITHMS; ADAPTIVE MANAGEMENT; WINTER
   MOVEMENTS; INTERNAL WAVES; STABLE-ISOTOPE
AB Sustainable reservoir-river management requires balancing complex trade-offs and decision-making to support both human water demands and ecological function. Current numerical simulation and optimization algorithms can guide reservoir-river operations for optimal hydropower production, irrigation, nutrient management, and municipal consumption, yet much less is known about optimization of associated ecosystems. This ten-year study demonstrates an ecosystem assessment approach that links the environmental processes to an ecosystem response in order to evaluate the impact of climatic forcing and reservoir operations on the aquatic ecosystems of a coupled headwater reservoir-river system. The approach uses a series of numerical, statistical, and empirical models to explore reservoir operational flexibility aimed at improving the environmental processes that support aquatic ecosystem function. The results illustrate that understanding the seasonal biogeochemical changes in reservoirs is critical for determining environmental flow releases and the ecological trajectory of both the reservoir and river systems. The coupled models show that reservoir management can improve the ecological function of complex aquatic ecosystems under certain climatic conditions. During dry hydrologic years, the high post-irrigation release can increase the downstream primary and macroinvertebrate production by 99% and 45% respectively. However, this flow release would reduce total fish biomass in the reservoir by 16%, providing management tradeoffs to the different ecosystems. Additionally, low post-irrigation flows during the winter season supports water temperature that can maintain ice cover in the downstream river for improved ecosystem function. The ecosystem assessment approach provides operational flexibility for large infrastructure, supports transparent decision-making by management agencies, and facilitates framing of environmental legislation.
C1 [Tranmer, Andrew W.; Tonina, Daniele] Univ Idaho, Ctr Ecohydraul Res, 322 East Front St,Suite 340, Boise, ID 83702 USA.
   [Weigel, Dana] Univ Idaho, Dept Fish & Wildlife Sci, Boise, ID 83702 USA.
   [Marti, Clelia L.] Curtin Univ, Fac Sci & Engn, Sustainable Engn Grp, Perth, WA, Australia.
   [Marti, Clelia L.] Univ Vermont, Dept Civil & Environm Engn, Burlington, VT 05405 USA.
   [Vidergar, Dmitri] US Bur Reclamat, Boise, ID USA.
   [Benjankar, Rohan] Southern Illinois Univ Edwardsville, Dept Civil Engn, Edwardsville, IL USA.
   [Goodwin, Peter] Univ Maryland, Ctr Environm Sci, College Pk, MD 20742 USA.
   [Imberger, Jorg] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Coral Gables, FL 33124 USA.
C3 University of Idaho; University of Idaho; Curtin University; University
   of Vermont; Southern Illinois University System; Southern Illinois
   University Edwardsville; University System of Maryland; University of
   Maryland College Park; University of Maryland Center for Environmental
   Science; University of Miami
RP Tranmer, AW (corresponding author), Univ Idaho, Ctr Ecohydraul Res, 322 East Front St,Suite 340, Boise, ID 83702 USA.
EM andyt@uidaho.edu
RI Marti, Clelia/H-5371-2014; Goodwin, Peter/AAP-1649-2021; Tonina,
   Daniele/I-7688-2012
OI Tonina, Daniele/0000-0002-1866-1013; Benjankar,
   Rohan/0000-0002-6018-8186; Tranmer, Andrew/0000-0003-2975-7405
FU United States Forest Service [08-JV-11221659-036]; National Science
   Foundation [EPS-0814387]; Center for Ecohydraulics Research; University
   of Idaho Research Office
FX This research was partially supported by the United States Forest
   Service grant 08-JV-11221659-036 and the National Science Foundation
   award EPS-0814387 Track 1: Water Resources in a Changing Climate from
   the NSF Idaho EPSCoR Program. Additional funding was provided by Center
   for Ecohydraulics Research and the University of Idaho Research Office.
   We would like to thank Barbara Cosens for her valuable perspective on
   the manuscript and the Danish Hydraulic Institute for providing MIKE
   software packages to the University of Idaho. G. A. Mueleman provided
   oversight and coordination to accomplish the data collection and
   experimental operations.Opinions, conclusions, or recommendations
   expressed in this material are solely those of the authors and do not
   necessarily reflect the views of the supporting institutions and
   agencies.
CR Allendorf FW, 2010, NAT REV GENET, V11, P697, DOI 10.1038/nrg2844
   Anderson KE, 2006, FRONT ECOL ENVIRON, V4, P309, DOI 10.1890/1540-9295(2006)4[309:IFNISA]2.0.CO;2
   Andrich MA, 2013, INT J SUST DEV WORLD, V20, P549, DOI 10.1080/13504509.2013.850752
   Anohin VV, 2006, J HYDRAUL ENG, V132, P1134, DOI 10.1061/(ASCE)0733-9429(2006)132:11(1134)
   [Anonymous], FIN DEADW RES OP FLE
   [Anonymous], 2015, P 36 IAHR WORLD C 28
   [Anonymous], 12 USDI FISH WILDL S
   [Anonymous], EOS
   [Anonymous], BIOL OP BUR RECL OP
   [Anonymous], THESIS
   [Anonymous], SCI ISS END SPEC ACT
   [Anonymous], 2013, FRESHW SCI, DOI DOI 10.1899/12-186.1
   [Anonymous], 2018, PRACTICAL PANARCHY A
   [Anonymous], INT302 US FOR SERV
   [Anonymous], MONOGRAPHS POPULATIO
   [Anonymous], USER MANUAL
   [Anonymous], 37 TARR WORLD C AUG
   [Anonymous], SYST STAT REP
   [Anonymous], DOEEIA03832016
   [Anonymous], 2019, ECOL APPL
   Barquín J, 2015, WIRES WATER, V2, P609, DOI 10.1002/wat2.1106
   Benjankar R, 2018, J ENVIRON MANAGE, V213, P126, DOI 10.1016/j.jenvman.2018.02.066
   Bernhardt ES, 2005, SCIENCE, V308, P636, DOI 10.1126/science.1109769
   Brown RS, 2011, FISHERIES, V36, P8, DOI 10.1577/03632415.2011.10389052
   Brown RS, 2001, J FISH BIOL, V59, P1126, DOI 10.1006/jfbi.2001.1725
   Bullock JM, 2011, TRENDS ECOL EVOL, V26, P541, DOI 10.1016/j.tree.2011.06.011
   Castelletti A, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010552
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Clark GM, 2010, J AM WATER RESOUR AS, V46, P486, DOI 10.1111/j.1752-1688.2009.00416.x
   CONTOR CR, 1995, HYDROBIOLOGIA, V299, P179, DOI 10.1007/BF00767324
   Craig LS, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.256
   Cunjak RA, 1996, CAN J FISH AQUAT SCI, V53, P267, DOI 10.1139/cjfas-53-S1-267
   Dirzo R, 2003, ANNU REV ENV RESOUR, V28, P137, DOI 10.1146/annurev.energy.28.050302.105532
   Franks PJS, 2009, J PLANKTON RES, V31, P1299, DOI 10.1093/plankt/fbp069
   Friedrichs MAM, 2006, DEEP-SEA RES PT II, V53, P576, DOI 10.1016/j.dsr2.2006.01.026
   Fu GT, 2019, WATER-SUI, V11, DOI 10.3390/w11030427
   Gerber LR, 2018, SCIENCE, V362, P284, DOI 10.1126/science.aat8434
   Ghosh SN., 2006, Environmental hydrology and hydraulics: eco-technological practices for sustainable development
   Gopal B, 2016, ECOSYST SERV, V21, P53, DOI 10.1016/j.ecoser.2016.07.013
   Gregory Jim S., 2011, Intermountain Journal of Sciences, V17, P1
   Harper DD, 2004, T AM FISH SOC, V133, P15, DOI 10.1577/T02-072
   Hart DD, 2010, FRESHWATER BIOL, V55, P258, DOI 10.1111/j.1365-2427.2009.02370.x
   He Q, 2014, SCI REP-UK, V4, DOI 10.1038/srep05995
   Hipsey MR, 2015, WATER RESOUR RES, V51, P7023, DOI 10.1002/2015WR017175
   Hodges BR, 2000, LIMNOL OCEANOGR, V45, P1603, DOI 10.4319/lo.2000.45.7.1603
   Horne A, 2017, ENVIRON MODELL SOFTW, V88, P188, DOI 10.1016/j.envsoft.2016.11.020
   Hughes BB, 2017, BIOSCIENCE, V67, P271, DOI 10.1093/biosci/biw185
   Imberger J., 2017, 37 IAHR WORLD C KUAL, P72
   Jackson MC, 2016, GLOBAL CHANGE BIOL, V22, P180, DOI 10.1111/gcb.13028
   Jakober MJ, 1998, T AM FISH SOC, V127, P223, DOI 10.1577/1548-8659(1998)127<0223:ROSIOF>2.0.CO;2
   Jakubaviciute E, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186929
   Krause S, 2015, ECOHYDROLOGY, V8, P529, DOI 10.1002/eco.1646
   Kress WJ, 2015, TRENDS ECOL EVOL, V30, P25, DOI 10.1016/j.tree.2014.10.008
   Kristiana R, 2011, LAKE RESERV MANAGE, V27, P70, DOI 10.1080/07438141.2010.536689
   Kuehne LM, 2017, FRONT ECOL ENVIRON, V15, P197, DOI 10.1002/fee.1483
   Laval B, 2003, LIMNOL OCEANOGR, V48, P983, DOI 10.4319/lo.2003.48.3.0983
   Lin QY, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33406-x
   Lindstrom JW, 2004, N AM J FISH MANAGE, V24, P1341, DOI 10.1577/M03-223.1
   Linnansaari T, 2008, J FISH BIOL, V72, P2518, DOI 10.1111/j.1095-8649.2008.01857.x
   Linnansaari T, 2009, RIVER RES APPL, V25, P773, DOI 10.1002/rra.1190
   Luce CH, 2014, WATER RESOUR RES, V50, P9447, DOI 10.1002/2013WR014844
   Lynch AJ, 2016, ENVIRON REV, V24, P115, DOI 10.1139/er-2015-0064
   Mac Nally R, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010383
   Mac Nally R, 2010, ECOL APPL, V20, P1417, DOI 10.1890/09-1724.1
   Magilligan FJ, 2005, GEOMORPHOLOGY, V71, P61, DOI 10.1016/j.geomorph.2004.08.017
   Marzadri A, 2014, J HYDROL, V519, P1997, DOI 10.1016/j.jhydrol.2014.09.076
   McKean J, 2014, J GEOPHYS RES-EARTH, V119, P644, DOI 10.1002/2013JF002897
   MEYBECK M, 1982, AM J SCI, V282, P401, DOI 10.2475/ajs.282.4.401
   Mor JR, 2018, SCI TOTAL ENVIRON, V625, P301, DOI 10.1016/j.scitotenv.2017.12.296
   Morillo S, 2009, J HYDRAUL ENG, V135, P564, DOI 10.1061/(ASCE)HY.1943-7900.0000048
   Mote PW, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0012-1
   Naiman RJ, 2012, P NATL ACAD SCI USA, V109, P21201, DOI 10.1073/pnas.1213408109
   Newman G, 2012, FRONT ECOL ENVIRON, V10, P298, DOI 10.1890/110294
   Nilsson C, 2005, SCIENCE, V308, P405, DOI 10.1126/science.1107887
   O'Donnell TK, 2007, RESTOR ECOL, V15, P538, DOI 10.1111/j.1526-100X.2007.00249.x
   Pai H, 2017, WATER RESOUR RES, V53, P9479, DOI 10.1002/2017WR020677
   Peterson JT, 2016, J ENVIRON MANAGE, V183, P361, DOI 10.1016/j.jenvman.2016.03.015
   Piggott JJ, 2015, ECOL EVOL, V5, P1538, DOI 10.1002/ece3.1465
   Pocock MJO, 2016, ADV ECOL RES, V54, P41, DOI 10.1016/bs.aecr.2015.10.006
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   POFF NL, 1990, ENVIRON MANAGE, V14, P629, DOI 10.1007/BF02394714
   Polade SD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11285-y
   Power ME, 1996, ENVIRON MANAGE, V20, P887, DOI 10.1007/BF01205969
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Richter BD, 2007, ECOL SOC, V12
   Robson BJ, 2017, WATER RES, V124, P108, DOI 10.1016/j.watres.2017.07.031
   Robson BJ, 2014, ENVIRON MODELL SOFTW, V61, P287, DOI 10.1016/j.envsoft.2014.01.009
   Romero JR, 2004, ECOL MODEL, V174, P143, DOI 10.1016/j.ecolmodel.2004.01.005
   Rose BP, 2013, NORTHWEST SCI, V87, P207, DOI 10.3955/046.087.0304
   Roy A., 2016, RES REPORTS BIODIVER, V5, P15, DOI [10.2147/RRBS.S70322, DOI 10.2147/RRBS.S70322]
   Rybczynski SM, 2008, ECOL FRESHW FISH, V17, P199, DOI 10.1111/j.1600-0633.2007.00289.x
   Sabo JL, 2017, SCIENCE, V358, DOI 10.1126/science.aao1053
   Saito L, 2001, ECOSYSTEMS, V4, P105, DOI 10.1007/s100210000062
   Salazar JZ, 2016, ADV WATER RESOUR, V92, P172, DOI 10.1016/j.advwatres.2016.04.006
   Silva CP, 2014, ENVIRON FLUID MECH, V14, P1199, DOI 10.1007/s10652-014-9342-7
   Smith PJ, 2005, J FISH BIOL, V67, P1178, DOI 10.1111/j.0022-1112.2005.00804.x
   Smith RA, 2003, ENVIRON SCI TECHNOL, V37, P3039, DOI 10.1021/es020663b
   Smith SDP, 2015, ECOL APPL, V25, P717, DOI 10.1890/14-0366.1
   Szalkiewicz E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010129
   Tharme RE, 2003, RIVER RES APPL, V19, P397, DOI 10.1002/rra.736
   Thom R, 2016, J ENVIRON MANAGE, V183, P424, DOI 10.1016/j.jenvman.2016.08.001
   Thomas RSD, 2018, P CAN SOC HIST PHIL, P1, DOI 10.1007/978-3-319-90983-7_1
   Tranmer AW, 2018, ECOL MODEL, V368, P78, DOI 10.1016/j.ecolmodel.2017.11.010
   Tranmer AW, 2015, GEOMORPHOLOGY, V250, P147, DOI 10.1016/j.geomorph.2015.09.001
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Vander Zanden MJ, 1999, NATURE, V401, P464, DOI 10.1038/46762
   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
   Weber C, 2013, BIOSCIENCE, V63, P199, DOI 10.1525/bio.2013.63.3.8
   Weber M, 2017, J ENVIRON MANAGE, V197, P96, DOI 10.1016/j.jenvman.2017.03.020
   Weigel DE, 2017, AQUAT SCI, V79, P953, DOI 10.1007/s00027-017-0544-1
   Wohl E, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR003985
   Xu B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07439-7
   Yarnell SM, 2015, BIOSCIENCE, V65, P963, DOI 10.1093/biosci/biv102
   Yu Y, 2018, J ENVIRON MANAGE, V223, P758, DOI 10.1016/j.jenvman.2018.06.044
   Zaidi RH, 1999, MOL ECOL, V8, P2081, DOI 10.1046/j.1365-294x.1999.00823.x
   Zarfl C, 2015, AQUAT SCI, V77, P161, DOI 10.1007/s00027-014-0377-0
   Zhu FL, 2017, WATER RESOUR RES, V53, P10635, DOI 10.1002/2017WR021480
NR 118
TC 23
Z9 24
U1 5
U2 70
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD APR 15
PY 2020
VL 260
AR 110107
DI 10.1016/j.jenvman.2020.110107
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA KR5MG
UT WOS:000517661900013
PM 32090820
OA Bronze
DA 2025-01-10
ER

PT J
AU Walters, AW
   Hughes, RC
   Call, TB
   Walker, CJ
   Wilcox, H
   Petersen, SC
   Rudman, SM
   Newell, PD
   Douglas, AE
   Schmidt, PS
   Chaston, JM
AF Walters, Amber W.
   Hughes, Rachel C.
   Call, Tanner B.
   Walker, Carson J.
   Wilcox, Hailey
   Petersen, Samara C.
   Rudman, Seth M.
   Newell, Peter D.
   Douglas, Angela E.
   Schmidt, Paul S.
   Chaston, John M.
TI The microbiota influences the <i>Drosophila melanogaster</i> life
   history strategy
SO MOLECULAR ECOLOGY
LA English
DT Article
DE acetic acid bacteria; Drosophila; lactic acid bacteria; latitude; life
   history; local adaptation; microbiome; microbiota
ID AMINO-ACID POLYMORPHISM; GENOME-WIDE PATTERNS; HOST GENETIC-CONTROL; GUT
   MICROBIOTA; STARVATION RESISTANCE; LATITUDINAL VARIATION;
   GEOGRAPHIC-VARIATION; CLIMATIC ADAPTATION; NEUTRAL PROCESSES; LOCAL
   ADAPTATION
AB Organisms are locally adapted when members of a population have a fitness advantage in one location relative to conspecifics in other geographies. For example, across latitudinal gradients, some organisms may trade off between traits that maximize fitness components in one, but not both, of somatic maintenance or reproductive output. Latitudinal gradients in life history strategies are traditionally attributed to environmental selection on an animal's genotype, without any consideration of the possible impact of associated microorganisms ("microbiota") on life history traits. Here, we show in Drosophila melanogaster, a key model for studying local adaptation and life history strategy, that excluding the microbiota from definitions of local adaptation is a major shortfall. First, we reveal that an isogenic fly line reared with different bacteria varies the investment in early reproduction versus somatic maintenance. Next, we show that in wild fruit flies, the abundance of these same bacteria was correlated with the latitude and life history strategy of the flies, suggesting geographic specificity of the microbiota composition. Variation in microbiota composition of locally adapted D. melanogaster could be attributed to both the wild environment and host genetic selection. Finally, by eliminating or manipulating the microbiota of fly lines collected across a latitudinal gradient, we reveal that host genotype contributes to latitude-specific life history traits independent of the microbiota and that variation in the microbiota can suppress or reverse the differences between locally adapted fly lines. Together, these findings establish the microbiota composition of a model animal as an essential consideration in local adaptation.
C1 [Walters, Amber W.; Hughes, Rachel C.; Call, Tanner B.; Walker, Carson J.; Wilcox, Hailey; Petersen, Samara C.; Chaston, John M.] Brigham Young Univ, Dept Plant & Wildlife Sci, Provo, UT 84602 USA.
   [Rudman, Seth M.; Schmidt, Paul S.] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
   [Newell, Peter D.] SUNY Coll Oswego, Dept Biol Sci, Oswego, NY USA.
   [Douglas, Angela E.] Cornell Univ, Dept Entomol, Ithaca, NY 14853 USA.
   [Douglas, Angela E.] Cornell Univ, Dept Mol Biol & Genet, Ithaca, NY USA.
C3 Brigham Young University; University of Pennsylvania; State University
   of New York (SUNY) System; State University of New York (SUNY) - Oswego;
   Cornell University; Cornell University
RP Chaston, JM (corresponding author), Brigham Young Univ, Dept Plant & Wildlife Sci, Provo, UT 84602 USA.
EM john_chaston@byu.edu
OI Walker, Carson/0009-0009-7694-6509; Schmidt, Paul/0000-0002-8076-6705
FU NRSA postdoctoral fellowship [1F32GM099374-01]; NIH [R01GM095372,
   R01GM100366]; Brigham Young University
FX NRSA postdoctoral fellowship, Grant/Award Number: 1F32GM099374-01; NIH,
   Grant/Award Number: R01GM095372 and R01GM100366; Brigham Young
   University
CR Adair KL, 2018, ISME J, V12, P959, DOI 10.1038/s41396-017-0020-x
   Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   [Anonymous], MICROBIOTA INFLUENCE
   [Anonymous], ADAPTATION NATURAL S
   [Anonymous], SYMBIOTIC NITROGEN F
   [Anonymous], 1992, EVOLUTION LIFE HIST
   Bates D, 2013, J STAT SOFTW, V52, P1, DOI 10.18637/jss.v052.i05
   Benson AK, 2010, P NATL ACAD SCI USA, V107, P18933, DOI 10.1073/pnas.1007028107
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Beura LK, 2016, NATURE, V532, P512, DOI 10.1038/nature17655
   Blekhman R, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0759-1
   Blum JE, 2013, MBIO, V4, DOI 10.1128/mBio.00860-13
   Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
   Bonder MJ, 2016, NAT GENET, V48, P1407, DOI 10.1038/ng.3663
   Bost A, 2018, MOL ECOL, V27, P1848, DOI 10.1111/mec.14413
   Broderick NA, 2014, MBIO, V5, DOI 10.1128/mBio.01117-14
   Brummel T, 2004, P NATL ACAD SCI USA, V101, P12974, DOI 10.1073/pnas.0405207101
   Bueno CG, 2017, GLOBAL ECOL BIOGEOGR, V26, P690, DOI 10.1111/geb.12582
   Burns AR, 2016, ISME J, V10, P655, DOI 10.1038/ismej.2015.142
   Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
   Caporaso JG, 2010, BIOINFORMATICS, V26, P266, DOI 10.1093/bioinformatics/btp636
   CENIS JL, 1993, ANN ENTOMOL SOC AM, V86, P545, DOI 10.1093/aesa/86.5.545
   Chandler JA, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002272
   Chaston JM, 2016, APPL ENVIRON MICROB, V82, P671, DOI 10.1128/AEM.03301-15
   Chaston JM, 2014, MBIO, V5, DOI 10.1128/mBio.01631-14
   Clark RI, 2015, CELL REP, V12, P1656, DOI 10.1016/j.celrep.2015.08.004
   Corby-Harris V, 2007, APPL ENVIRON MICROB, V73, P3470, DOI 10.1128/AEM.02120-06
   Coyte KZ, 2015, SCIENCE, V350, P663, DOI 10.1126/science.aad2602
   Davenport ER, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140301
   Deshpande SA, 2015, J NUTR, V145, P2789, DOI 10.3945/jn.115.222380
   Dikongué E, 2017, BIOESSAYS, V39, DOI 10.1002/bies.201600145
   Dobson AJ, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3307-9
   Dobson AJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7312
   Duar RM, 2017, FEMS MICROBIOL REV, V41, pS27, DOI 10.1093/femsre/fux030
   Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
   Emmett BD, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02414
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Farine JP, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04922-z
   Fischer C, 2017, ELIFE, V6, DOI 10.7554/eLife.18855
   Gibson KE, 2008, ANNU REV GENET, V42, P413, DOI 10.1146/annurev.genet.42.110807.091427
   Gomez A, 2017, CELL HOST MICROBE, V22, P269, DOI 10.1016/j.chom.2017.08.013
   Goodrich JK, 2016, CELL HOST MICROBE, V19, P731, DOI 10.1016/j.chom.2016.04.017
   Goodrich JK, 2014, CELL, V159, P789, DOI 10.1016/j.cell.2014.09.053
   Gould AL, 2018, P NATL ACAD SCI USA, V115, pE11951, DOI 10.1073/pnas.1809349115
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hillman K, 2016, CURR OPIN MICROBIOL, V31, P184, DOI 10.1016/j.mib.2016.04.010
   Hoffmann AA, 1999, HEREDITY, V83, P637, DOI 10.1038/sj.hdy.6886490
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Huang JH, 2015, BIOL LETTERS, V11, DOI 10.1098/rsbl.2015.0469
   Huttenhower C, 2012, NATURE, V486, P207, DOI 10.1038/nature11234
   Inamine H, 2018, MBIO, V9, DOI [10.1128/mBio.01453-17, 10.1128/mbio.01453-17]
   Jeraldo P, 2012, P NATL ACAD SCI USA, V109, P9692, DOI 10.1073/pnas.1206721109
   Judd AM, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00662-18
   Kalra B, 2014, J EVOLUTION BIOL, V27, P2371, DOI 10.1111/jeb.12480
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller SR, 2011, GENETICS, V188, P941, DOI 10.1534/genetics.111.128041
   Kim G, 2018, J INSECT PHYSIOL, V106, P13, DOI 10.1016/j.jinsphys.2017.05.005
   Kirschman LJ, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02147-18
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   KOSKE RE, 1987, MYCOLOGIA, V79, P55, DOI 10.2307/3807744
   Koyle ML, 2016, JOVE-J VIS EXP, DOI 10.3791/54219
   Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
   Lee SF, 2011, MOL BIOL EVOL, V28, P2393, DOI 10.1093/molbev/msr064
   Lemaître JF, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0209
   Li H, 2011, BIOINFORMATICS, V27, P2987, DOI 10.1093/bioinformatics/btr509
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Lievens B, 2015, ENVIRON MICROBIOL, V17, P278, DOI 10.1111/1462-2920.12570
   MAC ARTHUR ROBERT H., 1967
   Macke E, 2017, OIKOS, V126, P508, DOI 10.1111/oik.03900
   Masopust D, 2017, J IMMUNOL, V199, P383, DOI 10.4049/jimmunol.1700453
   McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
   McFall-Ngai M, 2013, P NATL ACAD SCI USA, V110, P3229, DOI 10.1073/pnas.1218525110
   McFall-Ngai MJ, 2014, ANNU REV MICROBIOL, V68, P177, DOI 10.1146/annurev-micro-091313-103654
   McGaugh SE, 2015, P NATL ACAD SCI USA, V112, P7055, DOI 10.1073/pnas.1419659112
   Moghadam NN, 2018, FLY, V12, P1, DOI 10.1080/19336934.2017.1394558
   Munch SB, 2009, P NATL ACAD SCI USA, V106, P13860, DOI 10.1073/pnas.0900300106
   Mushegian AA, 2018, J ANIM ECOL, V87, P400, DOI 10.1111/1365-2656.12709
   Neave MJ, 2017, ISME J, V11, P186, DOI 10.1038/ismej.2016.95
   Newell PD, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00576
   Newell PD, 2014, APPL ENVIRON MICROB, V80, P788, DOI 10.1128/AEM.02742-13
   OAKESHOTT JG, 1981, HEREDITY, V47, P385, DOI 10.1038/hdy.1981.99
   Obadia B, 2017, CURR BIOL, V27, P1999, DOI 10.1016/j.cub.2017.05.034
   Oldham S, 2011, TRENDS ENDOCRIN MET, V22, P45, DOI 10.1016/j.tem.2010.11.002
   Overgaard J, 2011, AM NAT, V178, pS80, DOI 10.1086/661780
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Pais IS, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2005710
   Parkash R, 2008, J INSECT PHYSIOL, V54, P1050, DOI 10.1016/j.jinsphys.2008.04.008
   PIANKA ER, 1970, AM NAT, V104, P592, DOI 10.1086/282697
   Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
   PROMISLOW DEL, 1990, J ZOOL, V220, P417, DOI 10.1111/j.1469-7998.1990.tb04316.x
   R Core Team, 2019, R LANG ENV STAT COMP
   Rakoff-Nahoum S, 2016, NATURE, V533, P255, DOI 10.1038/nature17626
   Réale D, 2010, PHILOS T R SOC B, V365, P4051, DOI 10.1098/rstb.2010.0208
   Reimer JD, 2017, J BIOGEOGR, V44, P661, DOI 10.1111/jbi.12795
   Ren C, 2007, CELL METAB, V6, P144, DOI 10.1016/j.cmet.2007.06.006
   Ricklefs RE, 2002, TRENDS ECOL EVOL, V17, P462, DOI 10.1016/S0169-5347(02)02578-8
   Ridley EV, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036765
   Rogers GB, 2014, SCI REP-UK, V4, DOI 10.1038/srep05437
   Rudman SM, 2019, P NATL ACAD SCI USA, V116, P20025, DOI 10.1073/pnas.1907787116
   Sannino DR, 2018, MBIO, V9, DOI 10.1128/mBio.00155-18
   Savage AM, 2002, MAR ECOL PROG SER, V244, P17, DOI 10.3354/meps244017
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sgrò CM, 2010, J EVOLUTION BIOL, V23, P2484, DOI 10.1111/j.1420-9101.2010.02110.x
   Sgrò CM, 2004, HEREDITY, V93, P241, DOI 10.1038/sj.hdy.6800532
   Shapira M, 2017, CURR OPIN MICROBIOL, V38, P142, DOI 10.1016/j.mib.2017.05.012
   Shin SC, 2011, SCIENCE, V334, P670, DOI 10.1126/science.1212782
   Smith CCR, 2015, ISME J, V9, P2515, DOI 10.1038/ismej.2015.64
   Smith K, 2007, SEMIN IMMUNOL, V19, P59, DOI 10.1016/j.smim.2006.10.002
   Staubach F, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070749
   Storelli G, 2011, CELL METAB, V14, P403, DOI 10.1016/j.cmet.2011.07.012
   Suzuki TA, 2019, MOL ECOL, V28, P2378, DOI 10.1111/mec.14905
   Suzuki TA, 2014, BIOL LETTERS, V10, DOI 10.1098/rsbl.2013.1037
   Therneau T., 2020, PACKAGE SURVIVAL ANA
   Therneau T. M., 2019, COXME MIXED EFFECTS
   Travers LM, 2015, SCI REP-UK, V5, DOI 10.1038/srep15469
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Venkataraman A, 2015, MBIO, V6, DOI 10.1128/mBio.02284-14
   Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
   Weldon L, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134643
   Werner JJ, 2012, ISME J, V6, P94, DOI 10.1038/ismej.2011.82
   Winans NJ, 2017, MOL ECOL, V26, P4536, DOI 10.1111/mec.14232
   Wong ACN, 2015, APPL ENVIRON MICROB, V81, P6232, DOI 10.1128/AEM.01442-15
   Wong ACN, 2014, J EXP BIOL, V217, P1894, DOI 10.1242/jeb.101725
   Wong ACN, 2013, ISME J, V7, P1922, DOI 10.1038/ismej.2013.86
   Wong CNA, 2011, ENVIRON MICROBIOL, V13, P1889, DOI 10.1111/j.1462-2920.2011.02511.x
   Yamada R, 2015, CELL REP, V10, P865, DOI 10.1016/j.celrep.2015.01.018
   Zhou WG, 1998, P ROY SOC B-BIOL SCI, V265, P509, DOI 10.1098/rspb.1998.0324
NR 130
TC 47
Z9 52
U1 1
U2 48
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD FEB
PY 2020
VL 29
IS 3
BP 639
EP 653
DI 10.1111/mec.15344
EA JAN 2020
PG 15
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA KM4XE
UT WOS:000508010300001
PM 31863671
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Sherpa, SF
   Shrestha, M
   Eakin, H
   Boone, CG
AF Sherpa, Sonam Futi
   Shrestha, Milan
   Eakin, Hallie
   Boone, Christopher G.
TI Cryospheric hazards and risk perceptions in the Sagarmatha (Mt. Everest)
   National Park and Buffer Zone, Nepal
SO NATURAL HAZARDS
LA English
DT Article
DE Cryospheric hazards; GLOFs; Risk perception; Adaptation; Mt. Everest
   region; Nepal
ID CLIMATE-CHANGE; GLACIAL LAKE; CORDILLERA BLANCA; OUTBURST FLOODS; IMJA
   GLACIER; VULNERABILITY; HIMALAYA; ADAPTATION; TSHO; IDENTIFICATION
AB Glacial lake outburst floods (GLOFs)are among the most serious cryospheric hazards for mountain communities. Multiple studies havepredicted thepotential risks posed by rapidly expanding glacial lakes in the Sagarmatha (Mt. Everest) National Park and Buffer Zone of Nepal. People's perceptions of such cryospheric hazards can influence their actions, beliefs, and responses to those hazards and associated risks. This study provides a systematic approach that combines household survey data with ethnography to analyze people's perceptions of GLOF risks and the socioeconomic and cultural factors influencing their perceptions. A statistical logit model of household data showed a significant positive correlation between the perceptions of GLOF risks and livelihood sources, mainly tourism. Risk perceptions are also influenced by spatial proximity to glacial lakes and whether a village is in potential flood zones. The 2016 emergency remediation work implemented in the Imja Tsho (glacial lake) has served as a cognitive fix, especially in the low-lying settlements. Much of uncertainty and confusions related GLOF risks among locals can be attributed to a disconnect between how scientific information is communicated to the local communities and how government climate change policies have been limited to awareness campaigns and emergency remediation efforts. A sustainable partnership of scientists, policymakers, and local communities is urgently needed to build a science-driven, community-based initiative that focuses not just in addressing a single GLOF threat but develops on a comprehensive cryospheric risk management plan and considers opportunities and challenges of tourism in the local climate adaptation policies.
C1 [Sherpa, Sonam Futi; Shrestha, Milan; Eakin, Hallie; Boone, Christopher G.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
C3 Arizona State University; Arizona State University-Tempe
RP Shrestha, M (corresponding author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
EM milan.shrestha@asu.edu
RI Shrestha, Milan/C-3145-2012
OI Eakin, Hallie/0000-0001-8253-1320; Boone,
   Christopher/0000-0001-7643-0806; Shrestha, Milan/0000-0003-4758-515X
FU National Science Foundation [ICER-1516912]; CNH-L: Science-Driven,
   Community-Based Approach to Reducing Glacier Lake Outburst Flood Risks-a
   multi-disciplinary research project of University of Texas, Austin;
   Arizona State University; University of Colorado, Boulder
FX This material is based upon work supported by the National Science
   Foundation under the Grant No. ICER-1516912, CNH-L: Science-Driven,
   Community-Based Approach to Reducing Glacier Lake Outburst Flood Risks-a
   multi-disciplinary research project of University of Texas, Austin (PI:
   Deane McKinney), Arizona State University (Co-PI: Milan Shrestha), and
   University of Colorado, Boulder (Co-PI: Alton Byers). Research
   Assistantship provided to the first author is acknowledged. This
   manuscript primarily draws upon the social survey dataset generated from
   the summer fieldwork of 2016 and 2017, which immensely benefitted from
   the research assistance received from Mr. Jagadish Parajuli (ASU, School
   of Sustainability) and Saroj Adhikary, Shanta Sharma, Lalmani Wagle, and
   Sharmila Paudyal of Tribhuvan University, Nepal. The authors thank the
   constructive comments and criticism offered by anonymous reviewers.
   Dhananjay Regmi and his team at the Himalayan Research Expedition
   provided excellent logistic support during the fieldwork. We would like
   to express our sincere gratitude to the key respondents, village
   leaders, officials of the Sagarmatha National Park and Buffer Zone, and
   other local stakeholders for their hospitality and generosity with time
   during the fieldwork.
CR [Anonymous], J HYDROL METEOROL
   [Anonymous], SAGARM NAT PARK MAN
   [Anonymous], 2016, CLIMATE CHANGE GLACI, DOI [10.1007/978-3-319- 28977-9_13, DOI 10.1007/978-3-319-28977-9_13]
   [Anonymous], 2015, THESIS
   [Anonymous], HIM GLAC CLIM CHANG
   [Anonymous], 2011, Glacial lakes and glacial lake outburst floods in Nepal
   [Anonymous], 2012, NAVIGATING ENV ATTIT
   [Anonymous], 20136 CRWR
   [Anonymous], HIGH MOUNTAINS ADAPT
   [Anonymous], LANDSLIDES
   [Anonymous], IMPACT CLIMATE CHANG
   [Anonymous], COMM BAS FLOOD GLAC
   [Anonymous], THESIS
   [Anonymous], HYDROL EARTH SYST SC
   Bajracharya S.R., 2007, IMPACT CLIMATE CHANG
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Bolch T, 2012, SCIENCE, V336, P310, DOI 10.1126/science.1215828
   Bolch T, 2008, NAT HAZARD EARTH SYS, V8, P1329, DOI 10.5194/nhess-8-1329-2008
   Bury JT, 2011, CLIMATIC CHANGE, V105, P179, DOI 10.1007/s10584-010-9870-1
   Byers A.C., 2016, KHUMBU LOCAL ADAPTAT
   Byers AC, 2014, GEOGRAPHY, V99, P143
   Byers AC, 2013, NAT HAZARDS, V69, P115, DOI 10.1007/s11069-013-0689-8
   Carey M, 2005, GLOBAL PLANET CHANGE, V47, P122, DOI 10.1016/j.gloplacha.2004.10.007
   Carey M., 2010, SHADOW MELTING GLACI, P165
   Carey M, 2012, CLIMATIC CHANGE, V112, P733, DOI 10.1007/s10584-011-0249-8
   Clayton S, 2015, NAT CLIM CHANGE, V5, P640, DOI [10.1038/nclimate2622, 10.1038/NCLIMATE2622]
   Crona B, 2013, CLIMATIC CHANGE, V119, P519, DOI 10.1007/s10584-013-0708-5
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Dahal KR, 2011, ENVIRON HAZARDS-UK, V10, P154, DOI 10.1080/17477891.2011.582310
   Dai J, 2015, ECOL ECON, V116, P310, DOI 10.1016/j.ecolecon.2015.05.001
   Etkin D, 2007, J RISK RES, V10, P623, DOI 10.1080/13669870701281462
   Fisher J.F., 1990, Sherpas: reflections on change in Himalayan Nepal
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haeberli W., 2015, Snow and Ice-Related Hazards, Risks, and Disasters, P1, DOI [10.1016/B978-0-12-394849-6.00001-9, DOI 10.1016/B978-0-12-394849-6.00001-9]
   Hamilton LC, 2011, CLIMATIC CHANGE, V104, P231, DOI 10.1007/s10584-010-9957-8
   Hegglin E, 2008, MT RES DEV, V28, P299, DOI 10.1659/mrd.0976
   Huggel C, 2002, CAN GEOTECH J, V39, P316, DOI 10.1139/T01-099
   Ives J.D., 1981, MT RES DEV, V1, No, P223, DOI DOI 10.2307/3673059
   Ives JD, 2010, Formation of glacial lakes in the Hindu KushHimalayas and GLOF risk assessment
   Jones NA, 2011, ECOL SOC, V16
   Kargel JS, 2011, P NATL ACAD SCI USA, V108, P14709, DOI 10.1073/pnas.1111663108
   Khanal NR, 2015, INT J WATER RESOUR D, V31, P219, DOI 10.1080/07900627.2014.994116
   Lamsal D, 2016, HYDROL PROCESS, V30, P676, DOI 10.1002/hyp.10636
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Matias DM, 2017, Slow onset climate change impacts: Global trends and the role of science-policy partnerships
   Mool P.K., 2001, Inventory of Glaciers, Glacial Lakes and Glacial Lake Outburst Floods. Monitoring and Early Warning Systems in the Hindu Kush-Himalayan Region: Bhutan
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Rodriguez N, 2017, CLIM RES, V72, P183, DOI 10.3354/cr01466
   Rounce DR, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9070654
   Rounce DR, 2017, CRYOSPHERE, V11, P443, DOI 10.5194/tc-11-443-2017
   Rounce DR, 2016, HYDROL EARTH SYST SC, V20, P3455, DOI 10.5194/hess-20-3455-2016
   Saaty T.L., 1980, Agric. Econ. Rev., V70, P10
   Shea JM, 2015, INT J WATER RESOUR D, V31, P174, DOI 10.1080/07900627.2015.1020417
   Sherry J, 2017, ENVIRON HAZARDS-UK, V16, P314, DOI 10.1080/17477891.2017.1298983
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Somos-Valenzuela MA, 2015, HYDROL EARTH SYST SC, V19, P1401, DOI 10.5194/hess-19-1401-2015
   Stevens Stanley., 1996, Claiming the High Ground: Sherpas, Subsistence, and Environmental Change in the Highest Himalaya
   Sun YY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010091
   Thakuri S, 2016, ANN GLACIOL, V57, P245, DOI 10.3189/2016AoG71A063
   Tobin G.A., 1997, Natural Hazards: Explanation and Integration, P132
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   VUICHARD D, 1986, MT RES DEV, V6, P90, DOI 10.2307/3673345
   Wagnon P, 2013, CRYOSPHERE, V7, P1769, DOI 10.5194/tc-7-1769-2013
   WATANABE T, 1994, MT RES DEV, V14, P329, DOI 10.2307/3673729
   WATANABE T, 1995, MT RES DEV, V15, P293, DOI 10.2307/3673805
   Watanabe T, 2009, NORSK GEOGR TIDSSKR, V63, P255, DOI 10.1080/00291950903368367
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   WEINSTEIN ND, 1989, PSYCHOL BULL, V105, P31, DOI 10.1037/0033-2909.105.1.31
   Westoby MJ, 2014, EARTH-SCI REV, V134, P137, DOI 10.1016/j.earscirev.2014.03.009
   Wisner B., 2004, AT RISK, V2nd
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
   ZAHEDI F, 1986, INTERFACES, V16, P96, DOI 10.1287/inte.16.4.96
   ZIMMERMANN M, 1986, MT RES DEV, V6, P29, DOI 10.2307/3673338
NR 74
TC 16
Z9 17
U1 5
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 MAR
PY 2019
VL 96
IS 2
BP 607
EP 626
DI 10.1007/s11069-018-3560-0
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA IF3IN
UT WOS:000472974200004
DA 2025-01-10
ER

PT J
AU Queirós, AM
   Huebert, KB
   Keyl, F
   Fernandes, JA
   Stolte, W
   Maar, M
   Kay, S
   Jones, MC
   Hamon, KG
   Hendriksen, G
   Vermard, Y
   Marchal, P
   Teal, LR
   Somerfield, PJ
   Austen, MC
   Barange, M
   Sell, AF
   Allen, I
   Peck, MA
AF Queiros, Ana M.
   Huebert, Klaus B.
   Keyl, Friedemann
   Fernandes, Jose A.
   Stolte, Willem
   Maar, Marie
   Kay, Susan
   Jones, Miranda C.
   Hamon, Katell G.
   Hendriksen, Gerrit
   Vermard, Youen
   Marchal, Paul
   Teal, Lorna R.
   Somerfield, Paul J.
   Austen, Melanie C.
   Barange, Manuel
   Sell, Anne F.
   Allen, Icarus
   Peck, Myron A.
TI Solutions for ecosystem-level protection of ocean systems under climate
   change
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change; conservation; COP21; ecosystem model; habitat; marine
   spatial planning; ocean; ocean acidification; species distribution;
   warming
ID NORTH-SEA; MARINE CONSERVATION; DYNAMIC OCEAN; ACIDIFICATION; FISHERIES;
   IMPACTS; TEMPERATURE; MODEL; FISH; FOOD
AB The Paris Conference of Parties (COP21) agreement renewed momentum for action against climate change, creating the space for solutions for conservation of the ocean addressing two of its largest threats: climate change and ocean acidification (CCOA). Recent arguments that ocean policies disregard a mature conservation research field and that protected areas cannot address climate change may be oversimplistic at this time when dynamic solutions for the management of changing oceans are needed. We propose a novel approach, based on spatial meta-analysis of climate impact models, to improve the positioning of marine protected areas to limit CCOA impacts. We do this by estimating the vulnerability of ocean ecosystems to CCOA in a spatially explicit manner and then co-mapping human activities such as the placement of renewable energy developments and the distribution of marine protected areas. We test this approach in the NE Atlantic considering also how CCOA impacts the base of the food web which supports protected species, an aspect often neglected in conservation studies. We found that, in this case, current regional conservation plans protect areas with low ecosystem-level vulnerability to CCOA, but disregard how species may redistribute to new, suitable and productive habitats. Under current plans, these areas remain open to commercial extraction and other uses. Here, and worldwide, ocean conservation strategies under CCOA must recognize the long-term importance of these habitat refuges, and studies such as this one are needed to identify them. Protecting these areas creates adaptive, climate-ready and ecosystem-level policy options for conservation, suitable for changing oceans.
C1 [Queiros, Ana M.; Fernandes, Jose A.; Kay, Susan; Somerfield, Paul J.; Austen, Melanie C.; Barange, Manuel; Allen, Icarus] Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
   [Huebert, Klaus B.; Peck, Myron A.] Univ Hamburg, Olbersweg 24, D-22767 Hamburg, Germany.
   [Huebert, Klaus B.; Sell, Anne F.] Univ Maryland, Horn Point Lab, Ctr Environm Sci, POB 775, Cambridge, MD 21613 USA.
   [Keyl, Friedemann] Thunen Inst Sea Fisheries, Palmaille 9, D-22767 Hamburg, Germany.
   [Stolte, Willem; Maar, Marie; Hendriksen, Gerrit] Deltares, Boussinesqweg 1, NL-2629 HV Delft, Netherlands.
   [Maar, Marie] Aarhus Univ, Dept Biosci, Frederiksborgvej 399,POB 358, DK-4000 Roskilde, Denmark.
   [Jones, Miranda C.] Univ Cambridge, Dept Zool, Downing St, Cambridge CB2 3EJ, England.
   [Hamon, Katell G.] LEI Wageningen UR, Alexanderveld 5, NL-2585 DB The Hague, Netherlands.
   [Vermard, Youen; Marchal, Paul] IFREMER, Dept Ressources Biol & Environm, Quai Gambetta BP 699, F-62321 Boulogne Sur Mer, France.
   [Teal, Lorna R.] IMARES, Haringkade 1, NL-1976 CP Ijmuiden, Netherlands.
   [Barange, Manuel] Food & Agr Org, Fisheries & Aquaculture Policy & Resources Div, Viale Terme Caracalla, I-00153 Rome, Italy.
C3 Plymouth Marine Laboratory; University of Hamburg; University System of
   Maryland; University of Maryland Center for Environmental Science;
   Johann Heinrich von Thunen Institute; Deltares; Aarhus University;
   University of Cambridge; Wageningen University & Research; Ifremer;
   Wageningen University & Research; Food & Agriculture Organization of the
   United Nations (FAO)
RP Queirós, AM (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM anqu@pml.ac.uk
RI Kay, Susan/C-5659-2008; Maar, Marie/C-5837-2008; Sell,
   Anne/JZE-4729-2024; Somerfield, Paul/J-9189-2014; Salvador,
   Jose/AAH-7939-2019; Teal, Lorna/C-8972-2009; Hamon, Katell/C-7206-2011;
   Huebert, Klaus B./G-2362-2011; Peck, Myron/H-6164-2011; Austen,
   Melanie/GLU-1418-2022
OI Queiros, Ana/0000-0002-7067-3177; Vermard, Youen/0000-0003-2828-2815;
   Marchal, Paul/0000-0003-2047-4599; Huebert, Klaus
   B./0000-0002-2432-7337; Maar, Marie/0000-0001-8594-2993; Peck,
   Myron/0000-0001-7423-1854; Fernandes Salvador, Jose
   Antonio/0000-0003-4677-6077; Kay, Susan/0000-0003-1510-8578; Austen,
   Melanie/0000-0001-8133-0498
FU European Community [266445]; UK Natural Environment Research Council; UK
   Department for Environment, Food and Rural Affairs [NE/L003279/1]; NERC
   [NE/K001345/1, NE/M004120/1, pml010004, pml010003, pml010010,
   NE/L003279/1, pml010005, NE/L003066/1, pml010007] Funding Source: UKRI
FX This work was funded within the European Community's Seventh Framework
   Programme's (FP7/2007-2013, Grant Agreement No. 266445) project Vectors
   of Change in Oceans and Seas Marine Life, Impact on Economic Sectors
   (VECTORS). The authors are grateful for insightful discussions with
   other colleagues undertaken during the VECTORS project, which stimulated
   the development of the rationale for this study. AMQ, PJS, MCA and IJA
   acknowledge support from the UK Natural Environment Research Council and
   UK Department for Environment, Food and Rural Affairs (grant number
   NE/L003279/1, Marine Ecosystems Research Programme). All model
   projections used in this study are available from the authors on
   request, through the public repository Open Earth. The editor and
   anonymous reviewers made helpful suggestions used to improve an earlier
   version of the text.
CR [Anonymous], PHYS ENG SCI
   [Anonymous], IMPACTS N ATLA UNPUB
   [Anonymous], EC ANAL COASTAL FISH
   [Anonymous], CHARTING PROGR 2 FEE
   [Anonymous], THESIS
   [Anonymous], BIODIVERSITY SERIES
   [Anonymous], BIOGEOSCIENCES
   [Anonymous], DELIVERABLE D3 3 COE
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], 2008, TR302 KNMI
   Audzijonyte A, 2016, FISH FISH, V17, P1005, DOI 10.1111/faf.12156
   Barnsley M. J., 2007, ENV MODELING PRACTIC
   Blanchard JL, 2012, PHILOS T R SOC B, V367, P2979, DOI 10.1098/rstb.2012.0231
   Blauw AN, 2009, HYDROBIOLOGIA, V618, P175, DOI 10.1007/s10750-008-9575-x
   Borenstein M., 2021, Introduction to meta-analysis
   Brown CJ, 2010, GLOBAL CHANGE BIOL, V16, P1194, DOI 10.1111/j.1365-2486.2009.02046.x
   Butenschoen M, 2016, GEOSCI MODEL DEV, V9, P1293, DOI 10.5194/gmd-9-1293-2016
   Butenschon M., 2013, VECTORS of Change in Oceans and Seas Marine Life, Impact on Economic Sectors, P39
   Calosi P, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0444
   Campbell MS, 2014, MAR POLICY, V45, P293, DOI 10.1016/j.marpol.2013.09.015
   Carilli JE, 2010, GLOBAL CHANGE BIOL, V16, P1247, DOI 10.1111/j.1365-2486.2009.02043.x
   Cazenave PW, 2016, PROG OCEANOGR, V145, P25, DOI 10.1016/j.pocean.2016.04.004
   Cheung WWL, 2016, ECOL MODEL, V325, P57, DOI 10.1016/j.ecolmodel.2015.12.018
   Cheung WWL, 2011, ICES J MAR SCI, V68, P1008, DOI 10.1093/icesjms/fsr012
   Christie N, 2014, MAR POLICY, V43, P254, DOI 10.1016/j.marpol.2013.06.002
   Côté IM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000438
   DERSIMONIAN R, 1986, CONTROL CLIN TRIALS, V7, P177, DOI 10.1016/0197-2456(86)90046-2
   Dulvy NK, 2008, J APPL ECOL, V45, P1029, DOI 10.1111/j.1365-2664.2008.01488.x
   Fernandes JA, 2013, GLOBAL CHANGE BIOL, V19, P2596, DOI 10.1111/gcb.12231
   Friocourt YF, 2012, FOOD ADDIT CONTAM A, V29, P1630, DOI 10.1080/19440049.2012.714079
   Garcia Molinos Jorge, 2016, Nature Climate Change, V6, P83, DOI 10.1038/nclimate2769
   GARNAUT R, 1992, ECONOMIC REFORM AND INTERNATIONALISATION: CHINA AND THE PACIFIC REGION, P1
   Gaylord B, 2015, ECOLOGY, V96, P3, DOI 10.1890/14-0802.1
   Gormley KSG, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068263
   Griffith GP, 2012, CONSERV BIOL, V26, P1145, DOI 10.1111/j.1523-1739.2012.01937.x
   Helt M, 2008, NEUROPSYCHOL REV, V18, P339, DOI 10.1007/s11065-008-9075-9
   Hilborn R, 2015, SCIENCE, V350, P1326, DOI 10.1126/science.350.6266.1326-a
   Hobday AJ, 2014, REV FISH BIOL FISHER, V24, P415, DOI 10.1007/s11160-013-9326-6
   Hollowed AB, 2013, ICES J MAR SCI, V70, P1023, DOI 10.1093/icesjms/fst081
   Holt J, 2012, PROG OCEANOGR, V106, P96, DOI 10.1016/j.pocean.2012.08.001
   Jones MC, 2015, ICES J MAR SCI, V72, P741, DOI 10.1093/icesjms/fsu172
   Jones MC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054216
   Jorgensen C, 2012, BIOL LETTERS, V8, P900, DOI 10.1098/rsbl.2012.0609
   Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
   Kroeker KJ, 2010, ECOL LETT, V13, P1419, DOI 10.1111/j.1461-0248.2010.01518.x
   Langmead O., 2007, EUROPEAN LIFESTYLES
   Lesser GR, 2004, COAST ENG, V51, P883, DOI 10.1016/j.coastaleng.2004.07.014
   Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014
   Levy JS, 2013, MAR POLICY, V38, P16, DOI 10.1016/j.marpol.2012.05.015
   Lewison RL, 2015, BIOSCIENCE, V65, P486, DOI 10.1093/biosci/biv018
   Lubchenco J, 2015, SCIENCE, V350, P382, DOI 10.1126/science.aad5443
   Lyons DA, 2016, GLOBAL CHANGE BIOL, V22, P968, DOI 10.1111/gcb.12989
   Maar M, 2013, PROG OCEANOGR, V111, P24, DOI 10.1016/j.pocean.2012.10.004
   Maar M, 2011, ECOL MODEL, V222, P1696, DOI 10.1016/j.ecolmodel.2011.03.006
   Maxwell SM, 2015, MAR POLICY, V58, P42, DOI 10.1016/j.marpol.2015.03.014
   Melzner F, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024223
   Moller EF, 2012, LIMNOL OCEANOGR, V57, P211, DOI 10.4319/lo.2012.57.1.0211
   Morley SA, 2009, MAR BIOL, V156, P1977, DOI 10.1007/s00227-009-1228-8
   Nagelkerken I, 2015, P NATL ACAD SCI USA, V112, P13272, DOI 10.1073/pnas.1510856112
   NOC, 2013, NAT OC POL IMPL PLAN
   Papathanasopoulou E, 2015, RENEW SUST ENERG REV, V52, P917, DOI 10.1016/j.rser.2015.07.150
   Parker Laura M., 2013, Biology - Basel, V2, P651, DOI 10.3390/biology2020651
   Payne MR, 2016, ICES J MAR SCI, V73, P1272, DOI 10.1093/icesjms/fsv231
   Peck LS, 2009, FUNCT ECOL, V23, P248, DOI 10.1111/j.1365-2435.2008.01537.x
   Planque B, 2010, J MARINE SYST, V79, P403, DOI 10.1016/j.jmarsys.2008.12.018
   Pörtner HO, 2008, SCIENCE, V322, P690, DOI 10.1126/science.1163156
   Pörtner HO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P411
   Queirós AM, 2015, J SEA RES, V98, P83, DOI 10.1016/j.seares.2014.10.004
   Queirós AM, 2015, GLOBAL CHANGE BIOL, V21, P130, DOI 10.1111/gcb.12675
   Raab K, 2013, MAR ECOL PROG SER, V488, P233, DOI 10.3354/meps10408
   Rice J, 2014, ICES J MAR SCI, V71, P157, DOI 10.1093/icesjms/fst078
   Riebesell U, 2015, NAT CLIM CHANGE, V5, P12
   Robinson KL, 2013, LIMNOL OCEANOGR, V58, P235, DOI 10.4319/lo.2013.58.1.0235
   Rourke FO, 2010, APPL ENERG, V87, P398, DOI 10.1016/j.apenergy.2009.08.014
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Somero GN, 2010, J EXP BIOL, V213, P912, DOI 10.1242/jeb.037473
   Sumaila UR, 2015, SCI REP-UK, V5, DOI 10.1038/srep08481
   Thomsen J, 2013, GLOBAL CHANGE BIOL, V19, P1017, DOI 10.1111/gcb.12109
   Wakelin SL, 2015, J MARINE SYST, V152, P51, DOI 10.1016/j.jmarsys.2015.07.006
   Whitney FA, 2007, PROG OCEANOGR, V75, P179, DOI 10.1016/j.pocean.2007.08.007
   Yool A, 2013, BIOGEOSCIENCES, V10, P5831, DOI 10.5194/bg-10-5831-2013
   Zhang QT, 2015, PROG OCEANOGR, V137, P533, DOI 10.1016/j.pocean.2015.04.029
NR 82
TC 49
Z9 51
U1 6
U2 175
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD DEC
PY 2016
VL 22
IS 12
BP 3927
EP 3936
DI 10.1111/gcb.13423
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA EC0TJ
UT WOS:000387813300009
PM 27396719
OA Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Rossel, RAV
   Bouma, J
AF Rossel, Raphael A. Viscarra
   Bouma, Johan
TI Soil sensing: A new paradigm for agriculture
SO AGRICULTURAL SYSTEMS
LA English
DT Article
ID NITROGEN; LANDSCAPE; AUSTRALIA
AB Last century, during the 'Green Revolution' the use of synthetic fertilizers contributed to increased agricultural production. However, their use did not reflect local soil and water conditions because recommendations were developed for larger agro-ecological zones. They only focused on increased productivity, neglecting any adverse environmental consequences. Largely, this legacy remains and recommendations are still made using top-down' procedures based on limited data and generic, empirical relations between soil nutrient contents, fertilization rates and yields. Using soil sensors in agriculture can fundamentally change this approach by allowing innovative 'bottom-up' approaches that characterize local soil and environmental conditions in space and time, improving the efficiency of production to maximize farm incomes and minimize environmental side effects. The sensed information can be used to build site-specific databases of relations between soil and plant condition and growth. Recent technological developments in sensing coupled with ongoing advances in information and communication technologies have given ground to a renewed interest in soil sensing and its use in different applications at different spatial scales. Soil sensing can facilitate the measurement and monitoring of the soil's physical and biochemical attributes (e.g. nutrients, water) to better understand their dynamics, their interactions with the environment while considering their large spatial heterogeneity. The new sensing methods can also be used to effectively monitor soil organic carbon and be central to the adoption of best agronomic practices that also allow carbon sequestration and a reduction of greenhouse gas (GHG) emissions. Thus, sensing can help us to better articulate the potential of soil to meet the world's needs for food, fiber, climate adaptation and environmental sustainability allowing the design and implementation of innovative management practices and policy aimed at sustainable development. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Rossel, Raphael A. Viscarra] CSIRO Land & Water, POB1700, Canberra, ACT 2601, Australia.
   [Bouma, Johan] Wageningen Univ, NL-6700 AP Wageningen, Netherlands.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   CSIRO Land & Water; Wageningen University & Research
RP Rossel, RAV (corresponding author), CSIRO Land & Water, POB1700, Canberra, ACT 2601, Australia.
EM raphael.viscarra-rossel@csiro.au
RI VISCARRA ROSSEL, Raphael/B-4061-2011
OI VISCARRA ROSSEL, Raphael/0000-0003-1540-4748
FU Grain Research and Development Corporation (GRDC) [CSA00048]
FX We thank the Grain Research and Development Corporation (GRDC) for
   funding this work through the project CSA00048: 'Proximal Soil Sensing
   for profitable and sustainable farming'. We also thank C. Dowling for
   his help with data for Fig. 1, which comes from the 'Making better
   fertilizer decisions for cropping systems in Australia' program and T.
   Viscarra Rossel for editing a version of our text.
CR Adamchuk VI, 2004, COMPUT ELECTRON AGR, V44, P71, DOI 10.1016/j.compag.2004.03.002
   [Anonymous], 2010, NAT GEOSCI, V3, P295, DOI 10.1038/ngeo867
   [Anonymous], OP WORK GROUP PROP S
   [Anonymous], ASPAC SOIL PROFICIEN
   Bouma J, 2016, ECOL INDIC, V66, P301, DOI 10.1016/j.ecolind.2016.01.050
   Bouma J, 2015, SOIL SCI SOC AM J, V79, P454, DOI 10.2136/sssaj2014.11.0470
   Chen CRR, 2008, J SOIL SEDIMENT, V8, P363, DOI 10.1007/s11368-008-0044-y
   Coates J., 2014, AM PHARM REV
   DAMBROTH M, 1990, DEV PLANT SOIL SCI, V42, P1
   Droogers P, 1996, GEODERMA, V73, P131, DOI 10.1016/0016-7061(96)00053-5
   Fedoroff NV, 2010, SCIENCE, V327, P833, DOI 10.1126/science.1186834
   Gebbers R, 2010, SCIENCE, V327, P828, DOI 10.1126/science.1183899
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   GREENWOOD DJ, 1971, J AGR SCI-CAMBRIDGE, V77, P511, DOI 10.1017/S0021859600064595
   Grundy MJ, 2015, SOIL RES, V53, P835, DOI 10.1071/SR15191
   Horta A, 2015, GEODERMA, V241, P180, DOI 10.1016/j.geoderma.2014.11.024
   Inselsbacher E, 2011, SOIL BIOL BIOCHEM, V43, P1321, DOI 10.1016/j.soilbio.2011.03.003
   Ji W, 2015, EUR J SOIL SCI, V66, P555, DOI 10.1111/ejss.12239
   Johnson R. C., 2015, ELECT ENG TIMES
   Lobsey C, 2016, EUR J SOIL SCI
   Lobsey CR, 2010, PROGR SOIL SCI, P77, DOI 10.1007/978-90-481-8859-8_6
   Manderson A., 2013, ACCURATE EFFICIENT U, P14
   Minasny B, 2011, GEODERMA, V167-68, P118, DOI 10.1016/j.geoderma.2011.09.008
   Nocita M, 2015, ADV AGRON, V132, P139, DOI 10.1016/bs.agron.2015.02.002
   Polanyi M., 1967, The Tacit Dimension
   Reid JB, 2002, FIELD CROP RES, V77, P161, DOI 10.1016/S0378-4290(02)00088-6
   Rossel R., 2010, Proximal Soil Sensing. Volume 1 of Progress in Soil Science, DOI DOI 10.1007/978-90-481-8859-8
   Rossel RAV, 2016, EARTH-SCI REV, V155, P198, DOI 10.1016/j.earscirev.2016.01.012
   Rossel RAV, 2016, GEODERMA, V265, P152, DOI 10.1016/j.geoderma.2015.11.016
   Rossel RAV, 2015, SOIL RES, V53, P845, DOI 10.1071/SR14366
   Rossel RAV, 2011, ADV AGRON, V113, P237, DOI 10.1016/B978-0-12-386473-4.00010-5
   Rossel RAV, 2016, SCI TOTAL ENVIRON, V542, P1040, DOI 10.1016/j.scitotenv.2015.09.119
   Rossel RAV, 2014, GLOBAL CHANGE BIOL, V20, P2953, DOI 10.1111/gcb.12569
   Rossel RAV, 2004, GEODERMA, V119, P9, DOI 10.1016/S0016-7061(03)00219-2
   Roudier P, 2015, IOP C SER EARTH ENV, V25, DOI 10.1088/1755-1315/25/1/012023
   Rousk J, 2010, SOIL BIOL BIOCHEM, V42, P2331, DOI 10.1016/j.soilbio.2010.08.017
   Sánchez PA, 2010, NAT GEOSCI, V3, P299, DOI 10.1038/ngeo853
   Sanchez PA, 2009, SCIENCE, V325, P680, DOI 10.1126/science.1175084
   Speirs SD, 2013, CROP PASTURE SCI, V64, P417, DOI 10.1071/CP13034
   Stirzaker R., 2014, FSC2013002FR201418
   Stoorvogel J.J., 2015, Advances in Soil Science, P37, DOI [10.1201/b18759-6, DOI 10.1201/B18759-6, 10.1201/b18759-3]
   Towett EK, 2015, SOIL SCI SOC AM J, V79, P1375, DOI 10.2136/sssaj2014.11.0458
   Vågen TG, 2016, GEODERMA, V263, P216, DOI 10.1016/j.geoderma.2015.06.023
   Van Alphen BJ, 2000, SOIL SCI SOC AM J, V64, P1706, DOI 10.2136/sssaj2000.6451706x
   Van Reeuwijk L.P., 1998, TECH REP FAO SOILS B, V74
   Zerger A, 2010, INT J APPL EARTH OBS, V12, P303, DOI 10.1016/j.jag.2010.05.001
NR 46
TC 127
Z9 141
U1 6
U2 172
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 OCT
PY 2016
VL 148
BP 71
EP 74
DI 10.1016/j.agsy.2016.07.001
PG 4
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DW3EW
UT WOS:000383525900007
DA 2025-01-10
ER

PT C
AU Mizani, A
   Hajnajari, H
AF Mizani, A.
   Hajnajari, H.
BE Mammadov, A
   Chalak, L
TI Genetic Stability Assessment of Apple Mutants 'Fuji Kiku 8' and 'Gala
   Schniga' during Adaptation Trials in Iran
SO II INTERNATIONAL SYMPOSIUM ON WILD RELATIVES OF SUBTROPICAL AND
   TEMPERATE FRUIT AND NUT CROPS
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 2nd International Symposium on Wild Relatives of Subtropical and
   Temperate Fruit and Nut Crops
CY APR 07-12, 2014
CL Baku, AZERBAIJAN
SP Int Soc Horticultural Sci
DE apple; genetic regression; pomological traits; growth traits; sensorial
   analyzes
ID QUALITY PARAMETERS; CULTIVARS; FRUIT
AB Genetic stability of mutant cultivars is menaced if imported from far geographic locations. Different cultivars have different degrees of climate adaptation that is influenced by genetic variation. Some mutant cultivars lose their characteristics during adaptation trials in new climate. To assess probable genetic regression of fruit traits in apple mutants, 'Gala schniga' and 'Fuji kiku 8', pomology of fruit samples was studied for physical, biochemical characteristics and the sensorial analyzes were compared with main mother cultivars 'Gala' and 'Fuji'. The samples were evaluated in the Post-Harvest Laboratory of Horticulture Research Department of SPII. The plants were compared also for fruit set percent based on more biological growth stages. Field investigations were made on morphologies and growth traits in a new geographical condition, Karaj-Iran, characterized by semi-arid climate, high solar radiation and low relative humidity, so different climatic conditions from origin points of the mutants and or the main cultivars that could affect genetic stability of the mutants in particular. The results showed that fruit weight and diameter, eye and stalk cavity width, stalk length and diameter, flesh firmness, total soluble solids (TSS) and pH prevailed in the new mutants related to the mother cultivars, while the mutants presented minor values for fruit diameter, fruit weigh and titrable acidity (TA). Although chlorophyll content, leaf width and length, internode number, lenticels number and diameter of annual shoots resulted higher in the mother cultivars, high rates of sensorial analyzes were achieved for the important features of aroma, sweetness, juiciness, flesh firmness, peel thickness, flesh color and total acceptance in both 'Fuji kiku' and 'Gala schniga'.
C1 [Mizani, A.] Islamic Azad Univ, Abhar Branch, Dept Hort Sci, Fac Agr & Nat Resources, Abhar, Iran.
   [Hajnajari, H.] Seed & Plant Improvement Inst, Dept Hort, Pome Fruit Unit, Karaj, Iran.
C3 Islamic Azad University
RP Mizani, A (corresponding author), Islamic Azad Univ, Abhar Branch, Dept Hort Sci, Fac Agr & Nat Resources, Abhar, Iran.
EM anahita.mizani@yahoo.com
RI Hajnajari, Hassan/B-5908-2018
CR [Anonymous], 1971, National Apple Register of the United Kingdom
   [Anonymous], 2008, WORLD APPL REV
   Atashkar D., 2011, 7 C IR HORT SCI
   Bernardi J., 1988, Acta Horticulturae, P46
   Silveira AC, 2007, CIENCIA TECNOL ALIME, V27, P149, DOI 10.1590/S0101-20612007000100026
   Dolenc-Sturm K, 1999, ACTA ALIMENT HUNG, V28, P297, DOI 10.1556/AAlim.28.1999.4.1
   Fournier D, 2004, ACTA HORTIC, P375, DOI 10.17660/ActaHortic.2004.663.64
   FUKUDA H, 1984, J JPN SOC HORTIC SCI, V53, P298, DOI 10.2503/jjshs.53.298
   Gheyas F, 1997, J SCI FOOD AGR, V75, P333, DOI 10.1002/(SICI)1097-0010(199711)75:3<333::AID-JSFA883>3.0.CO;2-R
   Hajnajari H., 2011, J BAGHDAR, V45, P5
   Hajnajari H., 2008, NATL FRUIT COLLECTIO
   Hudina M, 2000, ACTA ALIMENT HUNG, V29, P217, DOI 10.1556/AAlim.29.2000.3.2
   Iglesiasa G., 2008, SCI HORTICULTURAE, V119, P32
   Kikuchi T, 1997, FRUIT VARIETIES J, V51, P71
   Kodad O, 2006, SCI HORTIC-AMSTERDAM, V109, P297, DOI 10.1016/j.scienta.2006.05.002
   Labuschagné IF, 2002, J AM SOC HORTIC SCI, V127, P663, DOI 10.21273/JASHS.127.4.663
   Navazio JP, 2001, J AM SOC HORTIC SCI, V126, P100, DOI 10.21273/JASHS.126.1.100
   Os E. van, 1999, Acta Horticulturae, P765
   Rapillard C., 2000, ARBORIC HORTIC, V4, P233
   Sturm K, 2003, EUR J HORTIC SCI, V68, P169
   Turketti SS, 2012, SCI HORTIC-AMSTERDAM, V138, P90, DOI 10.1016/j.scienta.2012.02.010
   WALSH CS, 1990, FRUIT VARIETIES J, V44, P18
   White A.G., 1998, HIST FRUIT VARIETIES, P56
   WHITE AG, 1991, FRUIT VARIETIES J, V45, P2
NR 24
TC 1
Z9 1
U1 0
U2 0
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-94-62610-67-5
J9 ACTA HORTIC
PY 2015
VL 1174
BP 111
EP 117
DI 10.17660/ActaHortic.2015.1074.16
PG 7
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BE9WQ
UT WOS:000378326800016
DA 2025-01-10
ER

PT J
AU Duus-Otterström, G
   Jagers, SC
AF Duus-Otterstrom, Goran
   Jagers, Sverker C.
TI Identifying burdens of coping with climate change: A typology of the
   duties of climate justice
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Adaptation; Burden-sharing; Climate change; Justice; Mitigation
ID EMISSIONS
AB One of the central questions in climate change debates concerns fair burden-sharing, i.e. justice in the distribution of costs of undertaking climate-managing policies. In this paper it is argued that in order to distribute such costs justly, it is necessary to have a nuanced understanding of what types of burdens they represent. Climate managing policies are usually divided into responses that seek to reduce the concentration of greenhouse gases in the atmosphere (mitigation) and responses that seek to prevent harm arising from a changing climate (adaptation). Some have argued that there are normatively significant differences between mitigation and adaptation: that the two responses adhere to different logics and evoke different patterns of burden-sharing. This paper argues that the relevant distinction is instead between negative and positive climate duties, i.e. whether an agent has a duty to undertake climate-managing policies on account of the harm its excessive emissions are causing or simply on account of its ability to assist those in need. The paper offers a typology of the different mitigation and adaptation responses that can be sorted under the negative/positive distinctions. This way of conceptualizing the issue not only enables us to better address the burden-sharing question, offering a more nuanced understanding of the types of climate burdens that are ascribable to agents and pointing out the appropriate roles of contributory responsibility and ability. It also clarifies aspects of the climate negotiations, and explains why it matters whether adaptation finance transferred to vulnerable countries is portrayed as compensation for harmful emissions or simply as donor countries discharging their humanitarian duties. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Duus-Otterstrom, Goran; Jagers, Sverker C.] Univ Gothenburg, Dept Polit Sci, S-40530 Gothenburg, Sweden.
C3 University of Gothenburg
RP Duus-Otterström, G (corresponding author), Univ Gothenburg, Dept Polit Sci, Box 711,Sprdngkullsgatan 19, S-40530 Gothenburg, Sweden.
EM goran.duus-otterstrom@pol.gu.se; sverker.jagers@pol.gu.se
RI Duus-Otterstrom, Goran/ABC-3942-2021
OI Duus-Otterstrom, Goran/0000-0001-9133-7300
FU Swedish Research Council (VR); Swedish Research Council FORMAS
FX We are grateful to The Swedish Research Council (VR) and the Swedish
   Research Council FORMAS for their generous funding of the project
   FAIR-AD, Ed Page, Ludvig Beckman, and Mathias Zannakis for valuable
   comments on earlier drafts of this paper and the initiated and valuable
   suggestions from two anonymous reviewers.
CR Adger N.W., 2006, ADAPTING CLIMATE CHA
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2007, NATL RESPONSIBILITY
   [Anonymous], 2005, Leiden Journal of International Law, DOI [10.1017/S0922156505002992, DOI 10.1017/S0922156505002992]
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], 2010, CLIMATE ETHICS ESSEN
   [Anonymous], 1999, LAW PEOPLES
   [Anonymous], 2008, Atmospheric justice
   Aslam M.A., 2002, OPTIONS PROTECTING C
   Backstrand K., 2001, LUND POLITICAL STUDI, V116
   Bell D, 2011, MONIST, V94, P391, DOI 10.5840/monist201194320
   Burton I., 2011, EARTHSCAN READER ADA
   Caney S, 2010, CRIT REV INT SOC POL, V13, P203, DOI 10.1080/13698230903326331
   Cicerone RJ, 2006, CLIMATIC CHANGE, V77, P221, DOI 10.1007/s10584-006-9102-x
   Crutzen PJ, 2006, CLIMATIC CHANGE, V77, P211, DOI 10.1007/s10584-006-9101-y
   Dobson Andrew., 2003, CITIZENSHIP ENV
   Duus-Otterström G, 2011, ENVIRON POLIT, V20, P322, DOI 10.1080/09644016.2011.573354
   Grasso M, 2010, GLOBAL ENVIRON CHANG, V20, P74, DOI 10.1016/j.gloenvcha.2009.10.006
   Hansen J., 2008, Open Atmosphere Science Journal, V2, P217, DOI 10.2174/1874282300802010217
   Jagers SC, 2008, ENVIRON POLIT, V17, P576, DOI 10.1080/09644010802193443
   Kagan S., 1998, Normative Ethics
   Metz B., 2007, Climate change
   Miller David., 2011, RESPONSIBILITY DISTR
   Millock K., 2004, CHOOSING ENV POLICY
   MORRISETTE PM, 1989, NAT RESOUR J, V29, P793
   Nagel T, 2005, PHILOS PUBLIC AFF, V33, P113, DOI 10.1111/j.1088-4963.2005.00027.x
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola J., 2006, FAIRNESS ADAPTATION
   Page EA, 2006, CLIMATE CHANGE, JUSTICE AND FUTURE GENERATIONS, P1
   Page EA, 2008, ENVIRON POLIT, V17, P556, DOI 10.1080/09644010802193419
   Page EA, 2011, MONIST, V94, P412, DOI 10.5840/monist201194321
   Pan J.H., 2005, International Environmental Agreements, V5, P89, DOI DOI 10.1007/S10784-004-3715-1
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   PECK SC, 1995, ENERG POLICY, V23, P297, DOI 10.1016/0301-4215(95)90156-2
   Pielke Jr. R.A., 2011, EARTHSCAN READER ADA
   Pita A., 2007, TUVALU CALLS CLIMATE
   Pogge T, 2005, STUD GLOB JUSTICE, V2, P29
   Pogge Thomas., 2002, WORLD POVERTY HUMAN
   Pogge Thomas., 2005, Ethics and International Affairs, V19, P55, DOI [10.1111/j.1747-7093.2005.tb00490.x, DOI 10.1111/J.1747-7093.2005.TB00490.X]
   Shue Henry., 1993, Law Policy, V15, P39, DOI 10.1111/j.1467-9930.1993.tb00093.x
   SINGER P, 1972, PHILOS PUBLIC AFF, V1, P229
   Singer Peter., 2002, ONE WORLD
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Valentini L, 2011, AM POLIT SCI REV, V105, P205, DOI 10.1017/S0003055410000559
   Yohe G, 2004, SCIENCE, V306, P416, DOI 10.1126/science.1101170
NR 45
TC 22
Z9 22
U1 0
U2 21
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 AUG
PY 2012
VL 22
IS 3
BP 746
EP 753
DI 10.1016/j.gloenvcha.2012.04.005
PG 8
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 013LH
UT WOS:000309306400018
DA 2025-01-10
ER

PT S
AU Wenk, R
   Janssen, H
AF Wenk, Roland
   Janssen, Holger
BE Schernewski, G
   Hofstede, J
   Neumann, T
TI A Spatial Development Strategy for Climate Change - The Western
   Pomerania Example
SO GLOBAL CHANGE AND BALTIC COASTAL ZONES
SE Coastal Research Library
LA English
DT Article; Book Chapter
AB The Regional Planning Association Western Pomerania conducts the research project 'Spatial Development Strategy for Climate Change in the Planning Region Western Pomerania'. This project is part of the action program 'Demonstration Projects of Spatial Planning' (MORO) of the German Federal Ministry of Transport, Building and Urban Affairs. The Strategy aims at a combination of adaptation measures and measures for climate protection, which can be effectively communicated to the public. Five fields of action that are geared towards the most important spatial factors and that are discussed by experts and other stakeholders ensure an integrated Adaptation Strategy. The fields of action 'biodiversity', 'agriculture, forestry and fishery', 'water management and water cycle', and 'settlement and urban development, mobility, tourism, power generation and energy distribution' build on one another and show a number of interactions. The fifth field of action addresses the regional measures for climate adaptation. Upon project completion in 2011, a coherent Strategy for regional development will be presented. The Strategy will also address the parameters precipitation and temperature and the indicator rise in sea level, which are influenced by Climate Change. The Strategy contains the planning direction in terms of protection of regional biodiversity, adaptation of agriculture and forestry, protection of ground- and drinking water, settlement and urban development and tourism as well as new mobility and power generation concepts. Measures for climate protection that offer development opportunities for local authorities, industry and private enterprise receive a supporting regional context. The Spatial Development Strategy will be politically binding by way of the resolutions of the Regional Planning Association Western Pomerania and will direct regional planning in the coming years.
C1 [Wenk, Roland] Spatial Planning & Reg Dev Agcy Western Pomerania, D-17489 Greifswald, Germany.
   [Janssen, Holger] Leibniz Inst Baltic Sea Res IOW, D-18119 Rostock, Germany.
   [Janssen, Holger] EUCC Marine Team, D-18119 Rostock, Germany.
C3 Leibniz Institut fur Ostseeforschung Warnemunde
RP Wenk, R (corresponding author), Spatial Planning & Reg Dev Agcy Western Pomerania, D-17489 Greifswald, Germany.
EM r.wenk@afrlvp.mv-regierung.de; holger.janssen@io-warnemuende.de
CR *BM MV, 1998, LAND UMW MECKL VORP
   ERBEN K, 2004, HANDLUNGSFELDER KLIM
   *HGW, 2009, U HANS GREIFSW KLIM
   HILPERT K, 2006, TOWARDS CLIMATE CHAN
   *LM MV, 2009, KONZ ZUM SCHUTZ ZUR
   *MV, 2009, REG KUST SCHW
   *MW MV, 2008, STUD AUFGR LANDT
   *MW MV, 2010, AKT KLIM SCHWER
   RITTER EH, 2007, RAUMFORSCHUNG RAUMPL
   *RPV, 2010, REG RAUM VORP
   *RPV, 2003, ENTW LANDW VORP
   SAWERT K, 2010, MEHRWASSER RAUM STRA
   SCHMIDTTHOME PH, 2006, SEA LEVEL CHANGE AFF
   *UM MV, 2000, MOORSCH SCHW
   2009, ZWECKVERBAND PEENETA
NR 15
TC 0
Z9 1
U1 0
U2 3
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 2211-0577
BN 978-94-007-0399-5
J9 COAST RES LIBR
PY 2011
VL 1
BP 155
EP 176
DI 10.1007/978-94-007-0400-8_10
D2 10.1007/978-94-007-0400-8
PG 22
WC Environmental Sciences; Geosciences, Multidisciplinary
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Geology
GA BUX81
UT WOS:000290639500010
DA 2025-01-10
ER

PT J
AU Leal, AA
   Mangolin, CA
   do Amaral, ATD
   Gonçalves, LSA
   Scapim, CA
   Mott, AS
   Eloi, IBO
   Cordovés, V
   da Silva, MFP
AF Leal, A. A.
   Mangolin, C. A.
   do Amaral Junior, A. T.
   Goncalves, L. S. A.
   Scapim, C. A.
   Mott, A. S.
   Eloi, I. B. O.
   Cordoves, V.
   da Silva, M. F. P.
TI Efficiency of RAPD versus SSR markers for determining genetic diversity
   among popcorn lines
SO GENETICS AND MOLECULAR RESEARCH
LA English
DT Article
DE Zea mays; DNA markers; RAPD and SSR loci; Microsatellites; Comparative
   analysis of molecular groups
ID MOLECULAR MARKERS; INBRED LINES; MAIZE; DIVERGENCE; GERMPLASM;
   PERFORMANCE; SEQUENCES; SELECTION; DISTANCE; PLANTS
AB Using only one type of marker to quantify genetic diversity generates results that have been questioned in terms of reliability, when compared to the combined use of different markers. To compare the efficiency of the use of single versus multiple markers, we quantified genetic diversity among 10 S-7 inbred popcorn lines using both RAPD and SSR markers, and we evaluated how well these two types of markers discriminated the popcorn genotypes. These popcorn genotypes: "Yellow Pearl Popcorn" (P1-1 and P1-5), "Zelia" (P1-2 and P1-4), "Curagua" (P1-3), "IAC 112" (P9-1 and P9-2), "Avati Pichinga" (P9-3 and P9-5), and "Pisankalla" (P9-4) have different soil and climate adaptations. Using RAPD marker analysis, each primer yielded bands of variable intensities that were easily detected, as well as non-specific bands, which were discarded from the analysis. The nine primers used yielded 126 bands, of which 104 were classified as polymorphic, giving an average of 11.6 polymorphisms per primer. Using SSR procedures, the number of alleles per locus ranged from two to five, giving a total of 47 alleles for the 14 SSR loci. When comparing the groups formed using SSR and RAPD markers, there were similarities in the combinations of genotypes from the same genealogy. Correlation between genetic distances obtained through RAPD and SSR markers was relatively high (0.5453), indicating that both techniques are efficient for evaluating genetic diversity in the genotypes of popcorn that we evaluated, though RAPDs yielded more polymorphisms.
C1 [do Amaral Junior, A. T.; Goncalves, L. S. A.] Univ Estadual Maringa, Maringa, Parana, Brazil.
   [Leal, A. A.; Mangolin, C. A.; Scapim, C. A.; Mott, A. S.; Eloi, I. B. O.; Cordoves, V.; da Silva, M. F. P.] Univ Estadual Norte Fluminense, Campos Dos Goytacazes, RJ, Brazil.
C3 Universidade Estadual de Maringa; Universidade Estadual do Norte
   Fluminense
RP do Amaral, ATD (corresponding author), Univ Estadual Maringa, Maringa, Parana, Brazil.
EM amaraljr@pq.cnpq.br
RI scapim, Carlos/ABE-6461-2020; do Amaral, Antônio/AAD-6291-2021;
   mangolin, claudete/F-3643-2015
OI mangolin, claudete/0000-0002-1653-3106; Teixeira do Amaral Junior,
   Antonio/0000-0003-4831-7878; scapim, carlos/0000-0002-7047-9606
FU Fundacao Araucaria; CNPq
FX Research supported by Fundacao Araucaria and CNPq.
CR Aguiar CG, 2008, GENET MOL RES, V7, P1233, DOI 10.4238/vol7-4gmr495
   AMARAL AT, 1999, PESQUISA AGROPECUARI, V34, P1407
   AMARAL AT, 1999, HORTIC BRAS, V17, P3
   Bernardo R, 2008, CROP SCI, V48, P1649, DOI 10.2135/cropsci2008.03.0131
   Binneck Eliseu, 2002, Rev. bras. sementes, V24, P183, DOI 10.1590/S0101-31222002000100027
   Bracco M, 2009, GENETICA, V135, P39, DOI 10.1007/s10709-008-9252-z
   Bruel DC, 2006, PESQUI AGROPECU BRAS, V41, P1491, DOI 10.1590/S0100-204X2006001000006
   Chen X, 2003, PHARMACOGENOMICS J, V3, P77, DOI 10.1038/sj.tpj.6500167
   Cruz C D., 2006, Programa genes: estatistica experimental e matrizes
   da Silva TA, 2009, CROP BREED APPL BIOT, V9, P31
   Dandolini TS, 2008, CROP BREED APPL BIOT, V8, P313, DOI 10.12702/1984-7033.v08n04a09
   de Souza SGH, 2008, BRAZ ARCH BIOL TECHN, V51, P183, DOI 10.1590/S1516-89132008000100022
   Demeke T, 1997, MAYDICA, V42, P133
   DON RH, 1991, NUCLEIC ACIDS RES, V19, P4008, DOI 10.1093/nar/19.14.4008
   Garcia AAF, 2004, GENET MOL BIOL, V27, P579, DOI 10.1590/S1415-47572004000400019
   Gonçalves LSA, 2008, GENET MOL RES, V7, P1289, DOI 10.4238/vol7-4gmr526
   Gonçalves LSA, 2009, GENET MOL RES, V8, P364, DOI 10.4238/vol8-1gmr549
   Gonçalves LSA, 2008, HORTIC BRAS, V26, P364, DOI 10.1590/S0102-05362008000300014
   GOODMAN MM, 1983, MAYDICA, V28, P169
   HOISINGTON D, 1994, LAB POTOCOLS CIMMYT
   KANTETY RV, 1995, MOL BREEDING, V1, P365, DOI 10.1007/BF01248414
   Kilian A., 2005, Proceedings of the international congress in the wake of the double helix: from the green revolution to the gene revolution, P443
   Lanza LLB, 1997, THEOR APPL GENET, V94, P1023, DOI 10.1007/s001220050510
   Li YL, 2004, MAYDICA, V49, P327
   Lu H, 2001, THEOR APPL GENET, V103, P613, DOI 10.1007/PL00002917
   Mohammadi SA, 2003, CROP SCI, V43, P1235, DOI 10.2135/cropsci2003.1235
   Moose SP, 2008, PLANT PHYSIOL, V147, P969, DOI 10.1104/pp.108.118232
   MULLIS KB, 1987, METHOD ENZYMOL, V155, P335
   Munhoz REF, 2009, GENET MOL RES, V8, P951, DOI 10.4238/vol8-3gmr592
   Pejic I, 1998, THEOR APPL GENET, V97, P1248, DOI 10.1007/s001220051017
   SAIKI RK, 1985, SCIENCE, V230, P1350, DOI 10.1126/science.2999980
   Saker MM, 2005, AFR J BIOTECHNOL, V4, P882
   Santacruz-Varela A, 2004, CROP SCI, V44, P1456, DOI 10.2135/cropsci2004.1456
   Schlötterer C, 2004, NAT REV GENET, V5, P63, DOI 10.1038/nrg1249
   Schulman AH, 2007, EUPHYTICA, V158, P313, DOI 10.1007/s10681-006-9282-5
   Sudré CP, 2007, HORTIC BRAS, V25, P496, DOI 10.1590/S0102-05362007000400002
   TAUTZ D, 1989, NUCLEIC ACIDS RES, V17, P6463, DOI 10.1093/nar/17.16.6463
   Vilela FO, 2008, ACTA SCI-AGRON, V30, P25, DOI 10.4025/actasciagron.v30i1.1123
   VOS P, 1995, NUCLEIC ACIDS RES, V23, P4407, DOI 10.1093/nar/23.21.4407
   WELSH J, 1990, NUCLEIC ACIDS RES, V18, P7213, DOI 10.1093/nar/18.24.7213
   WILLIAMS JGK, 1990, NUCLEIC ACIDS RES, V18, P6531, DOI 10.1093/nar/18.22.6531
   WRIGHT S, 1965, EVOLUTION, V19, P395, DOI 10.1111/j.1558-5646.1965.tb01731.x
   Ziegler K. E., 1994, Specialty corns., P189
   ZIETKIEWICZ E, 1994, GENOMICS, V20, P176, DOI 10.1006/geno.1994.1151
NR 44
TC 50
Z9 57
U1 0
U2 4
PU FUNPEC-EDITORA
PI RIBEIRAO PRETO
PA RUA FLORIANO PEIXOTO 2444, ALTO DA BOA VISTA, RIBEIRAO PRETO, SP 00000,
   BRAZIL
EI 1676-5680
J9 GENET MOL RES
JI Genet. Mol. Res.
PY 2010
VL 9
IS 1
BP 9
EP 18
DI 10.4238/vol9-1gmr692
PG 10
WC Biochemistry & Molecular Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Genetics & Heredity
GA 543VN
UT WOS:000273607300002
PM 20082266
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Trontin, JF
   Sow, MD
   Delaunay, A
   Modesto, I
   Teyssier, C
   Reymond, I
   Canlet, F
   Boizot, N
   Le Metté, C
   Gibert, A
   Chaparro, C
   Daviaud, C
   Tost, J
   Miguel, C
   Lelu-Walter, MA
   Maury, S
AF Trontin, Jean-Francois
   Sow, Mamadou Dia
   Delaunay, Alain
   Modesto, Ines
   Teyssier, Caroline
   Reymond, Isabelle
   Canlet, Francis
   Boizot, Nathalie
   Le Mette, Claire
   Gibert, Audrey
   Chaparro, Cristian
   Daviaud, Christian
   Tost, Jorg
   Miguel, Celia
   Lelu-Walter, Marie-Anne
   Maury, Stephane
TI Epigenetic memory of temperature sensed during somatic embryo maturation
   in 2-yr-old maritime pine trees
SO PLANT PHYSIOLOGY
LA English
DT Article; Early Access
ID DNA METHYLATION; PICEA-ABIES; CLIMATIC ADAPTATION; PINASTER AIT.;
   HEAT-STRESS; EMBRYOGENESIS; PLANT; EXPRESSION; GENOME; GENES
AB Embryogenesis is a brief but potentially critical phase in the life cycle of a tree for adaptive phenotypic plasticity. Using somatic embryogenesis in maritime pine (Pinus pinaster Ait.), we found that temperature during the maturation phase affects embryo development and postembryonic tree growth for up to 3 yr. We examined whether this somatic stress memory could stem from temperature- and/or development-induced changes in DNA methylation. For this, we developed a 200 mb custom sequence capture bisulfite analysis of genes and promoters to identify differentially methylated cytosines (DMCs) between temperature treatments (18, 23, and 28 degrees C) and developmental stages (immature and cotyledonary embryos, shoot apical meristem of 2-yr-old plants) and investigate if these differences can be mitotically transmitted from embryonic to postembryonic development (epigenetic memory). We revealed a high prevalence of temperature-induced DMCs in genes (8% to 14%) compared to promoters (<1%) in all 3 cytosine contexts. Developmental DMCs showed a comparable pattern but only in the CG context and with a strong trend toward hypomethylation, particularly in the promoters. A high percentage of DMCs induced by developmental transitions were found memorized in genes (up to 45%-50%) and promoters (up to 90%). By contrast, temperature-induced memory was lower and confined to genes after both embryonic (up to 14%) and postembryonic development (up to 8%). Using stringent criteria, we identified 10 genes involved in defense responses and adaptation, embryo development, and chromatin regulation that are candidates for the establishment of a persistent epigenetic memory of temperature sensed during embryo maturation in maritime pine. Here, we provide evidence that DNA methylation marks established during the embryonic phase are transmitted to the postembryonic plant development phase.
C1 [Trontin, Jean-Francois; Reymond, Isabelle] Pole Ind Bois & Construct, BioForBois, FCBA, F-33610 Cestas, France.
   [Sow, Mamadou Dia; Delaunay, Alain; Maury, Stephane] Univ Orleans, INRAE, EA 1207 USC 1328, P2e, F-45067 Orleans, France.
   [Modesto, Ines] Univ Lisbon, Biosyst & Integrat Sci Inst, Fac Ciencias, P-1749016 Lisbon, Portugal.
   [Teyssier, Caroline; Boizot, Nathalie; Le Mette, Claire; Lelu-Walter, Marie-Anne] BioForA, INRAE, ONF, UMR 0588, F-45075 Orleans, France.
   [Canlet, Francis] Pole Ressources Forestieres Terr, Sylviculture Avancee, FCBA, F-33610 Cestas, France.
   [Chaparro, Cristian] Univ Perpignan, IHPE, UMR 5244, F-66100 Perpignan, France.
   [Daviaud, Christian; Tost, Jorg] Univ Paris Saclay, CEA Inst Biol Francois Jacob, Ctr Natl Rech Genomique Humaine, Lab Epigenet & Environm, F-91000 Evry, France.
   [Trontin, Jean-Francois] INRAE, BEF, UR 1138, F-54280 Champenoux, France.
   [Sow, Mamadou Dia] INRAE, GDEC, UMR 1095, F-63000 Clermont Ferrand, France.
C3 INRAE; Universite de Orleans; BIOISI; Universidade de Lisboa; INRAE;
   Universite de Montpellier; Centre National de la Recherche Scientifique
   (CNRS); CNRS - Institute of Ecology & Environment (INEE); Ifremer;
   Universite Perpignan Via Domitia; Universite Paris Saclay; INRAE; INRAE
RP Trontin, JF (corresponding author), Pole Ind Bois & Construct, BioForBois, FCBA, F-33610 Cestas, France.; Maury, S (corresponding author), Univ Orleans, INRAE, EA 1207 USC 1328, P2e, F-45067 Orleans, France.; Trontin, JF (corresponding author), INRAE, BEF, UR 1138, F-54280 Champenoux, France.
EM jean-francois.trontin@inrae.fr; stephane.maury@univ-orleans.fr
RI Sow, Mamadou/AFP-6476-2022
OI Trontin, Jean-Francois/0000-0003-4200-2920
FU French Ministry of Higher Education and Research [CA19125, CA21157];
   IUFRO [2.09.02, IUFRO 2.09.02]
FX The author thanks the European COST actions EPICATCH (CA19125) and
   COPYTREE (CA21157), the IUFRO 2.09.02 Working Party, and the French CNRS
   network GDR3E for their help in building research networks and helpful
   discussions on epigenetics (EPICATCH, GDR3E) and in vitro propagation
   technologies of trees (COPYTREE), especially somatic embryogenesis
   (IUFRO 2.09.02).
CR Aceituno FF, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-438
   Adak S., 2023, Enhancing resilience of dryland agriculture under changing climate, P1543
   Agrawal R, 2022, PLANT PHYSIOL, V189, P2259, DOI 10.1093/plphys/kiac220
   Akalin A, 2012, GENOME BIOL, V13, DOI [10.1186/gb-2012-13-10-r87, 10.1186/gb-2012-13-10-R87]
   Alakärppä E, 2024, PLANT SCI, V346, DOI 10.1016/j.plantsci.2024.112173
   Alakarppa E, 2018, J EXP BOT, V69, P5293, DOI 10.1093/jxb/ery292
   Arrillaga I, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00138
   Aryal B, 2015, BIOCHEM SOC T, V43, P966, DOI 10.1042/BST20150128
   Ausin I, 2016, P NATL ACAD SCI USA, V113, pE8106, DOI 10.1073/pnas.1618019113
   Benoit M, 2019, NEW PHYTOL, V221, P385, DOI 10.1111/nph.15248
   Besnard G, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2007081
   Birnbaum KD, 2017, REGENERATION, V4, P15, DOI 10.1002/reg2.73
   Boivin T., 2016, Mission dexpertise sur la rarfaction des fructifications du pin maritime dans les Lands de Gascogne
   Bondar EI, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23031735
   Bonhomme M, 2010, TREE PHYSIOL, V30, P89, DOI 10.1093/treephys/tpp103
   Brunoni F, 2019, PHYSIOL PLANTARUM, V165, P81, DOI 10.1111/ppl.12783
   Cañas RA, 2017, PLANT J, V91, P1064, DOI 10.1111/tpj.13617
   Castander-Olarieta A, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9121762
   Castander-Olarieta A, 2021, TREE PHYSIOL, V41, P912, DOI 10.1093/treephys/tpaa055
   Chen XH, 2020, TREE PHYSIOL, V40, P1807, DOI 10.1093/treephys/tpaa097
   Clark JS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20836-3
   Clarke SM, 2009, NEW PHYTOL, V182, P175, DOI 10.1111/j.1469-8137.2008.02735.x
   Conde D, 2017, PLANT CELL ENVIRON, V40, P2236, DOI 10.1111/pce.13019
   Guedes FAD, 2018, ENVIRON EXP BOT, V147, P220, DOI 10.1016/j.envexpbot.2017.12.004
   de Ollas C, 2015, PLANT SIGNAL BEHAV, V10, DOI 10.1080/15592324.2015.1078953
   de Vega-Bartol JJ, 2013, BMC PLANT BIOL, V13, DOI 10.1186/1471-2229-13-123
   Depuydt T, 2021, PLANT J, V108, P1193, DOI 10.1111/tpj.15507
   Do Nascimento AMM, 2022, PLANT CELL TISS ORG, V151, P107, DOI 10.1007/s11240-022-02336-y
   Doyle J., 1990, Focus, V12, P13
   Duge de Bernonville Thomas, 2022, Methods Mol Biol, V2505, P223, DOI 10.1007/978-1-0716-2349-7_16
   Elhiti M, 2013, IN VITRO CELL DEV-PL, V49, P631, DOI 10.1007/s11627-013-9547-3
   Gallie DR, 1998, PLANT J, V14, P715, DOI 10.1046/j.1365-313x.1998.00175.x
   Gao Y, 2022, FORESTS, V13, DOI 10.3390/f13020288
   Gao ZX, 2022, J GENET GENOMICS, V49, P991, DOI 10.1016/j.jgg.2022.07.004
   Gautier F, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00118
   Genitoni J, 2020, PHYSIOL PLANTARUM, V170, P280, DOI 10.1111/ppl.13162
   GUPTA PK, 1985, PLANT CELL REP, V4, P177, DOI 10.1007/BF00269282
   Hammond WM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29289-2
   Hemenway EA, 2023, ANNU REV PLANT BIOL, V74, P87, DOI 10.1146/annurev-arplant-070122-025047
   Hofmeister BT, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02162-5
   Hwang JU, 2016, MOL PLANT, V9, P338, DOI 10.1016/j.molp.2016.02.003
   Jacques C, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10091873
   Ji LX, 2019, PLANT CELL, V31, P2315, DOI 10.1105/tpc.19.00255
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Joly V, 2023, CURR OPIN PLANT BIOL, V75, DOI 10.1016/j.pbi.2023.102401
   Khan A, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.866409
   Kitaoka N, 2011, PLANT CELL PHYSIOL, V52, P1757, DOI 10.1093/pcp/pcr110
   Klimaszewska K, 2009, IN VITRO CELL DEV-PL, V45, P20, DOI 10.1007/s11627-008-9158-6
   Klimaszewska K, 2001, IN VITRO CELL DEV-PL, V37, P392, DOI 10.1007/s11627-001-0069-z
   Klimaszewska K, 2016, METHODS MOL BIOL, V1359, P131, DOI 10.1007/978-1-4939-3061-6_7
   Koo AJK, 2011, P NATL ACAD SCI USA, V108, P9298, DOI 10.1073/pnas.1103542108
   Kumar G, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149934
   Kvaalen H, 2008, NEW PHYTOL, V177, P49, DOI 10.1111/j.1469-8137.2007.02222.x
   Lämke J, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1263-6
   Le Gac AL, 2018, J EXP BOT, V69, P4821, DOI 10.1093/jxb/ery271
   Lelu-Walter M.-A., 2016, SOMATIC EMBRYOGENESI, P319
   Li J, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37684-6
   Li L, 2015, BIOCHEM BIOPH RES CO, V467, P792, DOI 10.1016/j.bbrc.2015.10.063
   LITVAY JD, 1985, PLANT CELL REP, V4, P325, DOI 10.1007/BF00269890
   Liu JZ, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.595603
   Liu M, 2021, IND CROP PROD, V168, DOI 10.1016/j.indcrop.2021.113576
   Liu X, 2022, PLANTA, V255, DOI 10.1007/s00425-022-03828-z
   Llebrés MT, 2018, TREE PHYSIOL, V38, P471, DOI 10.1093/treephys/tpx133
   Maeji H, 2018, ADV BOT RES, V88, P21, DOI 10.1016/bs.abr.2018.09.014
   Markulin L, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.764999
   Matzke MA, 2014, NAT REV GENET, V15, P394, DOI 10.1038/nrg3683
   Maury S, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00395
   Meng LS, 2018, GENETICS, V210, P607, DOI 10.1534/genetics.118.301470
   Miguel CM., 2016, Vegetative propagation of forest trees, P373
   Moncalean P, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01898
   Morel A, 2014, PLANTA, V240, P1075, DOI 10.1007/s00425-014-2125-z
   Morel A, 2014, PHYSIOL PLANTARUM, V152, P184, DOI 10.1111/ppl.12158
   Narsai R, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1302-3
   do Nascimento AMM, 2020, FORESTS, V11, DOI 10.3390/f11111181
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Niederhuth CE, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-1059-0
   Niu SH, 2022, CELL, V185, P204, DOI 10.1016/j.cell.2021.12.006
   Olas JJ, 2021, MOL PLANT, V14, P1508, DOI 10.1016/j.molp.2021.05.024
   Palovaara J, 2010, TREE PHYSIOL, V30, P479, DOI 10.1093/treephys/tpp126
   Pandian BA, 2020, ANTIOXIDANTS-BASEL, V9, DOI 10.3390/antiox9050454
   Parthasarathy A, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00921
   Paz-Aviram T, 2008, PLANT SIGNAL BEHAV, V3, P409, DOI 10.4161/psb.3.6.5434
   Pecinka A, 2010, PLANT CELL, V22, P3118, DOI 10.1105/tpc.110.078493
   Pereira C, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10112333
   Pérez-Oliver MA, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24119299
   Pérez-Oliver MA, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10030446
   Perrella G, 2022, NEW PHYTOL, V234, P1144, DOI 10.1111/nph.17970
   Platt A, 2015, MOL ECOL, V24, P3823, DOI 10.1111/mec.13230
   Plomion C, 2016, ANN FOREST SCI, V73, P77, DOI 10.1007/s13595-015-0488-3
   Rajpal VR, 2022, FRONT CELL DEV BIOL, V10, DOI 10.3389/fcell.2022.1020958
   Rautengarten C, 2005, PLOS COMPUT BIOL, V1, P297, DOI 10.1371/journal.pcbi.0010040
   Rodrigues AS, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47789-y
   Rodrigues AS, 2018, BMC PLANT BIOL, V18, DOI 10.1186/s12870-018-1564-2
   Sáez-Laguna E, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103145
   Sales E, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23031318
   Sarwar R, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24010511
   Schaller A, 2004, PLANTA, V220, P183, DOI 10.1007/s00425-004-1407-2
   Seoane-Zonjic P, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2490-z
   Seymour DK, 2017, CURR OPIN PLANT BIOL, V36, P56, DOI 10.1016/j.pbi.2017.01.005
   Singh A, 2021, INT J BIOL MACROMOL, V184, P874, DOI 10.1016/j.ijbiomac.2021.06.125
   Skroppa T, 2022, SCAND J FOREST RES, V37, P6, DOI 10.1080/02827581.2022.2045349
   Sow MD, 2021, NEW PHYTOL, V232, P80, DOI 10.1111/nph.17555
   Sow MD, 2018, ADV BOT RES, V88, P387, DOI 10.1016/bs.abr.2018.09.003
   Sterck L., 2022, The Pine Genomes, P67, DOI [10.1007/978-3-030-93390-6_5, DOI 10.1007/978-3-030-93390-6_5]
   Stroud H, 2014, NAT STRUCT MOL BIOL, V21, P64, DOI 10.1038/nsmb.2735
   Tan JW., Molecular analysis of epigenetic memory of stress establishment and long-term maintenance in a perennial woody plant. Theses and Dissertations
   Tao Z, 2017, NATURE, V551, P124, DOI 10.1038/nature24300
   Temple H, 2019, PLANT DIRECT, V3, DOI 10.1002/pld3.117
   Teyssier C, 2014, PHYSIOL PLANTARUM, V150, P271, DOI 10.1111/ppl.12081
   Trösch R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023039
   Trontin JF, 2021, TREE PHYSIOL, V41, P906, DOI 10.1093/treephys/tpaa150
   Trontin JF, 2016, METHODS MOL BIOL, V1359, P167, DOI 10.1007/978-1-4939-3061-6_8
   Trontin JF., 2016, Vegetative propagation of forest trees, P572
   Vestman D, 2011, TREE GENET GENOMES, V7, P347, DOI 10.1007/s11295-010-0336-4
   Viejo M, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1196806
   Vigneaud J, 2023, NEW PHYTOL, V238, P2561, DOI 10.1111/nph.18734
   von Arnold S., 2016, Vegetative propagation of forest Trees, P351
   Wan T, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24528-4
   Wang C, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2213540119
   Wang K, 2018, PLANT CELL, V30, P1006, DOI 10.1105/tpc.18.00250
   Wang LL, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-01235-2
   Wasserstein RL, 2016, AM STAT, V70, P129
   Wedow JM, 2019, METABOLOMICS, V15, DOI 10.1007/s11306-019-1511-8
   Wiweger M, 2003, J EXP BOT, V54, P2691, DOI 10.1093/jxb/erg299
   Wójcikowska B, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21072307
   Xiao WY, 2006, PLANT CELL, V18, P805, DOI 10.1105/tpc.105.038836
   Xue TX, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24065760
   Yakovlev IA., 2020, Plant microRNAs. Concepts and strategies in plant sciences, P5772
   Yakovlev IA, 2017, FRONT PHYSIOL, V8, DOI 10.3389/fphys.2017.00674
   Yakovlev IA, 2016, PLANTA, V243, P1237, DOI 10.1007/s00425-016-2484-8
   Yakovlev IA, 2014, TREE GENET GENOMES, V10, P355, DOI 10.1007/s11295-013-0691-z
   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
   Yang XY, 2013, J EXP BOT, V64, P1521, DOI 10.1093/jxb/ert013
   Yao N, 2021, TRENDS GENET, V37, P699, DOI 10.1016/j.tig.2021.04.010
   Zhang HM, 2018, NAT REV MOL CELL BIO, V19, P489, DOI 10.1038/s41580-018-0016-z
   Zhou YY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09234-6
   Zhu JP, 2023, TRENDS BIOCHEM SCI, V48, P788, DOI 10.1016/j.tibs.2023.06.001
   Zhu RQ, 2013, PLANTA, V237, P1483, DOI 10.1007/s00425-013-1858-4
   Zimin AV, 2017, GIGASCIENCE, V6, DOI 10.1093/gigascience/giw016
NR 140
TC 1
Z9 1
U1 11
U2 11
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0032-0889
EI 1532-2548
J9 PLANT PHYSIOL
JI Plant Physiol.
PD 2024 DEC 11
PY 2024
DI 10.1093/plphys/kiae600
EA DEC 2024
PG 22
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA P1M2R
UT WOS:001375631500001
PM 39511700
DA 2025-01-10
ER

PT J
AU Deng, PX
   Bing, JP
   Jia, JW
   Wang, D
AF Deng, Pengxin
   Bing, Jianping
   Jia, Jianwei
   Wang, Dong
TI Evaluation of daily precipitation modeling performance from different
   CMIP6 datasets: A case study in the Hanjiang River basin
SO ADVANCES IN SPACE RESEARCH
LA English
DT Article
DE CMIP6; NEX-GDDP-CMIP6; Daily precipitation; Comprehensive evaluation;
   Modeling capability; The Hanjiang River Basin
ID CLIMATE EXTREMES; PRODUCTS; CHINA
AB To effectively compare and analyze daily precipitation modeling capabilities across different CMIP6 datasets, our study introduces a novel method to compare daily precipitation models across CMIP6 datasets in the Hanjiang River Basin (HRB). We quantify indicators such as precipitation distribution, temporal correlation, wet-dry detection, extreme value error, and spatio-temporal variability, enabling a comprehensive rating of precipitation accuracy. It has been found that while both CMIP6(CP6) and NEX-GDDP-CMIP6 (GCP6) models show similar simulation accuracy, GCP6 excels in several aspects like distribution, temporal correlation, extreme value simulation, and spatial variability, yet lags in wet-dry detection and temporal change. Notably, using the comprehensive rating score (CRS) analysis, significant differences in precipitation simulation accuracy exist between models, particularly CP6, with variations of up to 0.22 (51.2%) between the highest and lowest scores. Among the top ten models, GCP6 occupies four positions such as MRI-ESM2-0, GFDL-CM4, MPI-ESM1-2-HR, and TaiESM1, while CP6 holds the remaining six like CanESM5, EC-Earth3-Veg, MPI-ESM1-2HR, GFDL-CM4, MRI-ESM2-0, and IPSL-CM6A-LR. These findings not only offer a clear understanding of the simulation performance of CMIP6 datasets across various precipitation characteristics, but also quantitatively compare the modeling capabilities of different models for watershed precipitation through CRS. This aids climate adaptation research, hydrological forecasting, and flood management in the basin. (c) 2024 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
C1 [Deng, Pengxin; Bing, Jianping; Jia, Jianwei; Wang, Dong] Changjiang Water Resources Commiss, Bur Hydrol, Wuhan 430010, Peoples R China.
RP Deng, PX (corresponding author), Changjiang Water Resources Commiss, Bur Hydrol, Wuhan 430010, Peoples R China.
EM dpx_work@163.com
FU National Natural Science Foundation of China [52309004]; National Key
   R&D Program of China [2022YFC3002701, 2023YFC3206001]; Key R&D Program
   of Hubei Province [2023BCB115]
FX The authors appreciate Bureau of Hydrology, Chang-jiang Water Resources
   Commission for the support of data. This research work is financially
   supported by National Natural Science Foundation of China (Grant No.
   52309004) , the National Key R&D Program of China (Item Nos.
   2022YFC3002701, 2023YFC3206001) and the Key R&D Program of Hubei
   Province (Item Nos. 2023BCB115) .
CR Adnan K., 2023, Geoderma, V439
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   Bagher B., 2024, Remote Sens. Environ., V301
   Barton Y, 2016, MON WEATHER REV, V144, P347, DOI 10.1175/MWR-D-15-0205.1
   Change I.C., 2013, CONTRIBUTION WORKING, DOI DOI 10.1017/CBO9781107415324.SUMMARY
   Chen C.A., 2020, Weather Clim. Extremes, V31, P2212
   Chen S, 2013, J GEOPHYS RES-ATMOS, V118, P13060, DOI 10.1002/2013JD019964
   Chen WL, 2011, J CLIMATE, V24, P4741, DOI 10.1175/2011JCLI4102.1
   Deng PX, 2022, ATMOS RES, V276, DOI 10.1016/j.atmosres.2022.106258
   Deng PX, 2019, ATMOS RES, V219, P153, DOI 10.1016/j.atmosres.2018.12.032
   Deng PX, 2018, ATMOS RES, V214, P121, DOI 10.1016/j.atmosres.2018.07.022
   DICKINSON RE, 1989, CLIMATIC CHANGE, V15, P383, DOI 10.1007/BF00240465
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Gao Q., 2020, Torrential Rain and Disasters, V39, P516
   Gao Y, 2014, J HYDROL, V517, P447, DOI 10.1016/j.jhydrol.2014.05.057
   Harvey A, 2012, INT J FORECASTING, V28, P3, DOI 10.1016/j.ijforecast.2011.02.016
   He R., 2023, Atmos. Oceanic Sci. Lett., V16, P10
   Jiang F., 2023, Atmos, V14
   [靳俊芳 Jin Junfang], 2014, [干旱区研究, Arid Zone Research], V31, P1061
   Karl TR, 1999, CLIMATIC CHANGE, V42, P3, DOI 10.1023/A:1005491526870
   Kong DX, 2015, J HYDROL, V520, P157, DOI 10.1016/j.jhydrol.2014.09.038
   KULLBACK S, 1951, ANN MATH STAT, V22, P79, DOI 10.1214/aoms/1177729694
   Li RX, 2023, APPL INTELL, V53, P24847, DOI 10.1007/s10489-023-04867-z
   Lopes EP, 2001, P SOC PHOTO-OPT INS, V4326, P603, DOI 10.1117/12.436513
   Nashwan MS, 2020, INT J CLIMATOL, V40, P4422, DOI 10.1002/joc.6465
   Pierce DW, 2009, P NATL ACAD SCI USA, V106, P8441, DOI 10.1073/pnas.0900094106
   Thrasher B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01393-4
   Wang D, 2022, J WATER CLIM CHANGE, V13, P2089, DOI 10.2166/wcc.2022.402
   Wang D, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12070867
   Wu LZ, 2023, J HYDROL, V627, DOI 10.1016/j.jhydrol.2023.130437
   Xu LL, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acbfd0
   Xu Y, 2009, ADV ATMOS SCI, V26, P783, DOI 10.1007/s00376-009-9034-2
   Zhang YQ, 2023, SCI TOTAL ENVIRON, V876, DOI 10.1016/j.scitotenv.2023.162822
   Zhu HH, 2021, SCI BULL, V66, P2528, DOI 10.1016/j.scib.2021.07.026
NR 35
TC 2
Z9 2
U1 10
U2 10
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0273-1177
EI 1879-1948
J9 ADV SPACE RES
JI Adv. Space Res.
PD NOV 15
PY 2024
VL 74
IS 10
BP 4655
EP 4672
DI 10.1016/j.asr.2024.07.045
EA OCT 2024
PG 18
WC Engineering, Aerospace; Astronomy & Astrophysics; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
GA L1M3Z
UT WOS:001348430000001
DA 2025-01-10
ER

PT J
AU Faye, A
   Abbey, GA
   Ndiaye, A
   Diop, M
AF Faye, Adama
   Abbey, Georges A.
   Ndiaye, Amadou
   Diop, Mbaye
TI Climate-Related Risks and Agricultural Yield Assessment in the
   Senegalese Groundnut Basin
SO ATMOSPHERE
LA English
DT Article
DE climate-related risk; agriculture; yield; groundnut basin; Senegal
AB Climate change and variability pose significant threats to agricultural production, particularly in regions heavily dependent on rainfed agriculture like Senegal. The problem addressed in this study revolves around the impact of climate-related risks on agricultural yields in the Senegalese Groundnut Basin as a key agricultural region. Daily rainfall, temperatures, and yield over 1991-2020 were used. The data were analyzed using multiple regression, trend analysis, and correlation approaches. The results indicate that the overall seasonal precipitation increases over time (98 mm in the north and 103 mm in the south). However, we found that the south Groundnut Basin has a much slower seasonal precipitation rate than the northern zone. Our results also show that the northern zone exhibits a more consistent and predictable growing season, with onset and offset, in contrast with the southern zone, which shows higher variability. The analysis further reveals that both the northern and southern zones are experiencing a warming trend, with the southern zone showing a more pronounced increase in maximum temperatures (+0.7 degrees C) than to the northern zone (+0.4 degrees C). Estimates from the regression analysis revealed that total seasonal precipitation and maximum temperature positively and significantly influence groundnut, millet, and maize yields in the northern and southern zones. All the other weather-related parameters have different influences depending on the zone. These findings highlight the heterogeneous nature of the study area and the significant role climatic factors play in crop yield variability in the Groundnut Basin. Understanding these influences is crucial for developing targeted agricultural strategies and climate adaptation measures to mitigate risks and enhance regional productivity. The study provides valuable insights for policymakers and farmers aiming to improve crop resilience and sustain agricultural outputs amidst changing climatic conditions.
C1 [Faye, Adama] Univ Lome, Fac Human & Social Sci, West African Sci Serv Ctr Climate Change & Adapted, Lome 1515, Togo.
   [Abbey, Georges A.] Univ Lome, Dept Agr Econ & Agribusiness Management, Lome 1515, Togo.
   [Ndiaye, Amadou] Amadou Mahtar Mbow Univ, Sch Agr & Food Sci ES2A, Dakar 45927, Senegal.
   [Diop, Mbaye] Senegalese Inst Agr Res ISRA, Dakar 3120, Senegal.
C3 University of Lome; University of Lome
RP Faye, A (corresponding author), Univ Lome, Fac Human & Social Sci, West African Sci Serv Ctr Climate Change & Adapted, Lome 1515, Togo.
EM faye.adama@edu.wascal.org
FU Agropolis Fondation and the West African science Service Center on
   Climate Change and Adapted Land Use (WASCAL); Agropolis Fondation; West
   African science Service Center on Climate Change and Adapted Land Use
   (WASCAL)
FX Adama Faye acknowledges financial support from Agropolis Fondation and
   the West African science Service Center on Climate Change and Adapted
   Land Use (WASCAL).
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   [Anonymous], 2018, The state of food security and nutrition in the world: Building climate resilience for food security and nutrition
   ANSD, 2001, Am. Econ. Rev, V91, P1369
   Arce C., 2015, Paraguay Agricultural Sector Risk Assessment
   Arif MAR, 2022, FRONT GENET, V13, DOI 10.3389/fgene.2022.828905
   Balliet R., 2016, Eur. Sci. J, V12, P74, DOI [10.19044/esj.2016.v12n23p74, DOI 10.19044/ESJ.2016.V12N23P74]
   Barry AA, 2018, INT J CLIMATOL, V38, pE921, DOI 10.1002/joc.5420
   Belford C., 2020, International Journal of Human Capital in Urban Management Climate change effects on economic growth: mixed empirical evidence, DOI [10.22034/IJHCUM.2020.02.02, DOI 10.22034/IJHCUM.2020.02.02]
   Beye G., 2015, National Report from Ecologycal Center of Monitoring (CSE), V93
   Bodian A, 2014, PHYSIO-GEO, V8, DOI 10.4000/physio-geo.4243
   Didi SRM, 2020, CLIMATE, V8, DOI 10.3390/cli8070084
   Fall A., 2014, Approche Geographique de la Vulnerabilite des Anthroposystemes Saheliens. Ababacar Fall to Cite This Version: HAL Id: Tel-01622314 Le Ferlo Senegalais: Approche Geographique de la Vulnerabilite des Anthroposystemes Saheliens Sous, P380
   Faour G, 2016, CYBERGEO, DOI 10.4000/cybergeo.27620
   Faye A., 2021, ZEF Working Paper Series
   Faye M., La Variabilite Pluviometrique et ses Incidences sur les Rendements Agricoles Dans la Region des Terres Neuves du Senegal oriental
   Faye N.F., 2019, Papiers de Recherche AFD
   Georges Ndiaye, 2016, OALib, V03, P1, DOI [10.4236/oalib.1102991, DOI 10.4236/OALIB.1102991]
   Guo HP, 2022, ENVIRON IMPACT ASSES, V97, DOI 10.1016/j.eiar.2022.106891
   Hernández CM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111739
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Kemp F., 2003, J R STAT SOC, V52, P691
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Mbaye ML., 2021, J EXTREME EVENTS, V8, P2250002, DOI [10.1142/s2345737622500026, DOI 10.1142/S2345737622500026]
   Merega O., 2016, Changements Socio-Environnementaux et Evolution des Pratiques Agropastorales en Afrique Sahelienne: Etude Comparee Entre le Ferlo (Senegal), le Gourma (Mali) et le Fakara (Niger), P356
   Nébié EKI, 2021, GLOB FOOD SECUR-AGR, V29, DOI 10.1016/j.gfs.2021.100513
   Noufe D., 2015, Agron. Afr, V27, P241
   Noufé D, 2011, HYDROLOG SCI J, V56, P152, DOI 10.1080/02626667.2010.545247
   Ouikotan B., 2017, P 16 INT WAT RESN AS, P1
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Roudier P., 2019, Deux Exemples de Strategies de Gestion du Risque Agricole enAfrique de L'OUEST: Services Climatiques et Assurancesindicielles
   Sagna P., 2015, POLLUT ATMOS, V227, P1, DOI DOI 10.4267/POLLUTION-ATMOSPHERIQUE.5320
   Salack S, 2014, CLIM DYNAM, V42, P189, DOI 10.1007/s00382-013-1673-4
   Sall M., 2015, Les Exploitations Agricoles Familiales Face aux Risques Agricoles et Climatiques: Strategies Developpees et Assurances Agricoles. Economies et Finances
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Traore V.B., 2021, Alger. J. Environ. Sci. Technol, V10, P1
   Velten S, 2015, SUSTAINABILITY-BASEL, V7, P7833, DOI 10.3390/su7067833
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   World Food Program, 2018, Global Report on Food Crises 2018, Executive Summary
   World Social Report, 2020, CLIMATE CHANGE EXACE, V81, P106, DOI [10.18356/88668942-en, DOI 10.18356/88668942-EN]
NR 39
TC 0
Z9 0
U1 1
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD OCT
PY 2024
VL 15
IS 10
AR 1246
DI 10.3390/atmos15101246
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA K3G8Y
UT WOS:001342804500001
OA gold
DA 2025-01-10
ER

PT J
AU Bennett, AP
   Alexeev, VA
   Bieniek, PA
AF Bennett, Alec P.
   Alexeev, Vladimir A.
   Bieniek, Peter A.
TI Modeling of Future Streamflow Hazards in Interior Alaska River Systems
   and Implications for Applied Planning
SO WATER
LA English
DT Article
DE climate change; extreme events; risk modeling; dynamical downscaling;
   natural hazards; climate adaptation
ID CLIMATE; EXTREMES
AB There is a growing need for proactive planning for natural hazards in a changing climate. Computational modeling of climate hazards provides an opportunity to inform planning, particularly in areas approaching ecosystem state changes, such as Interior Alaska, where future hazards are expected to differ significantly from historical events in frequency and severity. This paper considers improved modeling approaches from a physical process perspective and contextualizes the results within the complexities and limitations of hazard planning efforts and management concerns. Therefore, the aim is not only to improve the understanding of potential climate impacts on streamflow within this region but also to further explore the steps needed to evaluate local-scale hazards from global drivers and the potential challenges that may be present. This study used dynamically downscaled climate forcing data from ERA-Interim reanalysis datasets and projected climate scenarios from two General Circulation Models under a single Representative Concentration Pathway (RCP 8.5) to simulate an observational gage-calibrated WRF-Hydro model to assess shifts in streamflow and flooding potential in three Interior Alaska rivers over a historical period (2008-2017) and two future periods (2038-2047 and 2068-2077). Outputs were assessed for seasonality, streamflow, extreme events, and the comparison between existing flood control infrastructure in the region. The results indicate that streamflow in this region is likely to experience increases in seasonal length and baseflow, while the potential for extreme events and variable short-term streamflow behavior is likely to see greater uncertainty, based on the divergence between the models.
C1 [Bennett, Alec P.] Univ Alaska, Coll Business & Secur Management, Fairbanks, AK 99775 USA.
   [Alexeev, Vladimir A.; Bieniek, Peter A.] Univ Alaska, Int Arctic Res Ctr, Fairbanks, AK 99775 USA.
C3 University of Alaska System; University of Alaska Fairbanks; University
   of Alaska System; University of Alaska Fairbanks
RP Alexeev, VA (corresponding author), Univ Alaska, Int Arctic Res Ctr, Fairbanks, AK 99775 USA.
EM apbennett@alaska.edu; valexeev@alaska.edu; pbieniek@alaska.edu
FU Strategic Environmental Research and Development Program (SERDP) [RWO
   227, NA18OAR4590417]; Department of Energy, Office of Science,
   Biological and Environmental Research Program's Regional and Global
   Model Analysis program; NOAA [NA18OAR4590417]; NSF [2318380, 2040240]
FX A. Bennett and P. Bieniek were funded in part by the Strategic
   Environmental Research and Development Program (SERDP) through RWO 227:
   Aquatic Ecosystem Vulnerability to Fire and Climate Change in Alaskan
   Boreal Forests. Additionally, this study benefited from joint
   collaborationand knowledge-sharing with NOAA project NA18OAR4590417. V.
   Alexeev was supported by the Interdisciplinary Research for Arctic
   Coastal Environments (InteRFACE) project through the Department of
   Energy, Office of Science, Biological and Environmental Research
   Program's Regional and Global Model Analysis program; NOAA project
   NA18OAR4590417; and NSF grants 2318380 and 2040240. This work was
   supported in part by the high-performance computing and data storage
   resources operated by the Research Computing Systems (RCS) Group at the
   University of Alaska Fairbanks Geophysical Institute.
CR [Anonymous], ECMWF Datasets (ERA-Interim)
   [Anonymous], 2017, CPI Inflation Calculator
   [Anonymous], 2015, The Human Cost of Weather Related Disasters 19952015.
   [Anonymous], Current Conditions for Alaska Streamflow
   [Anonymous], 2016, Alaska State Rail Plan - Final
   [Anonymous], WRF-Hydro Modeling System
   [Anonymous], 2023, Fifth National Climate Assessment, DOI [10.7930/NCA5.2023.CH29, DOI 10.7930/NCA5.2023.CH29]
   [Anonymous], 2019, Natural Hazard Mitigation Saves Study
   [Anonymous], QuickFacts: Fairbanks North Star Borough, Alaska
   [Anonymous], Innovation leads to productive season for safety upgrade at Moose Creek Dam
   [Anonymous], 1984, Overview of Tanana River monitoring and research studies near Fairbanks
   [Anonymous], 2023, Fifth National Climate Assessment, DOI [10.7930/NCA5.2023.CH31, DOI 10.7930/NCA5.2023.CH31]
   Ballinger TJ, 2023, J CLIMATE, V36, P4375, DOI [10.1175/JCLI-D-22-0434.1, 10.1175/JCLI-D-22-0434.s1]
   Bennett KE, 2015, J HYDROL, V527, P590, DOI 10.1016/j.jhydrol.2015.04.065
   Bennett KE, 2023, FRONT WATER, V5, DOI 10.3389/frwa.2023.1099660
   Bennett KE, 2019, HYDROL EARTH SYST SC, V23, P2439, DOI 10.5194/hess-23-2439-2019
   Bieniek PA, 2016, J APPL METEOROL CLIM, V55, P635, DOI 10.1175/JAMC-D-15-0153.1
   Bird LJ, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01142-4
   Bohman Amanda., 2004, Fairbanks Daily News-Miner
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Caswell Thomas A, 2023, Zenodo
   Childers J.M., 1972, Floods of August 1967 in East-Central Alaska
   Cooper MG, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR033154
   Deemy J. B., 2022, FUNDAMENTALS TROPICA, P43, DOI DOI 10.1016/B978-0-12-822362-8.00030-X
   Department of the Interior, 2023, Applying Climate Change Science (526 DM 1; Departmental Manual)
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Douglas TA, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0130-4
   Druckenmiller ML., 2022, NOAA Arctic Report Card 2022: Executive Summary, DOI [DOI 10.25923/YJX6-R184, 10.25923/YJX6-R184]
   Ellis T., Tanana River Bridge Levee Helped Deflect Breakup Floodwaters, Residents Say
   Farrar M., 2023, Upgrade of National Water Model on NCEP's WCOSS System and Its Post-processing Application on the Integrated Dissemination Platform (IDP)
   Federal Emerency Management Agency (FEMA), 2023, NATL HOUSEHOLD SURVE
   FNSB, 2021, Emergency Management Multi-Jurisdictional Hazard Mitigation Plan
   Follansbee R., 1994, A history of the Water Resources Branch, DOI DOI 10.3133/7000087
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Gent PR, 2011, J CLIMATE, V24, P4973, DOI 10.1175/2011JCLI4083.1
   Glass R L., 1996, Ground-Water Levels in an Alluvial Plain Between the Tanana and Chena Rivers Near Fairbanks, Alaska
   Gochis D.J., 2020, The NCAR WRF-Hydro Modeling System Technical Description
   Gochis David, 2020, Zenodo
   govinfo, Flood Control Act of 1968
   Grosse G, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/040201
   Guan TS, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.863575
   Harris CR, 2020, NATURE, V585, P357, DOI 10.1038/s41586-020-2649-2
   Hodgkins GA, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007575
   Holmes R R., 2010, 100-Year flood-it's all about chance, DOI DOI 10.3133/GIP106
   Hoyer Stephan, 2023, Zenodo
   Institute for Economics, 2020, Peace Ecological Threat Register
   Jin HJ, 2022, WATER-SUI, V14, DOI 10.3390/w14030372
   Knoben WJM, 2019, HYDROL EARTH SYST SC, V23, P4323, DOI 10.5194/hess-23-4323-2019
   Lader R, 2017, J APPL METEOROL CLIM, V56, P2393, DOI 10.1175/JAMC-D-16-0415.1
   Lafferty DC, 2023, NPJ CLIM ATMOS SCI, V6, DOI 10.1038/s41612-023-00486-0
   Leal W, 2022, LAND-BASEL, V11, DOI 10.3390/land11122226
   Lechowska E, 2018, NAT HAZARDS, V94, P1341, DOI 10.1007/s11069-018-3480-z
   Legleiter CJ, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12081282
   Leinonen J, 2023, Arxiv, DOI [arXiv:2304.12891, 10.48550/arXiv.2304.12891]
   Liao C, 2017, J GEOPHYS RES-EARTH, V122, P2183, DOI 10.1002/2017JF004214
   Littell JS, 2018, WATER-SUI, V10, DOI 10.3390/w10050668
   Logan Travis, 2022, Zenodo
   Mann DH, 2012, ARCT ANTARCT ALP RES, V44, P319, DOI 10.1657/1938-4246-44.3.319
   Markon C., 2018, The Fourth National Climate Assessment, Volume II, DOI [10.7930/NCA4.2018.CH26, DOI 10.7930/NCA4.2018.CH26]
   Minsley BJ, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100285
   Mizukami N, 2019, HYDROL EARTH SYST SC, V23, P2601, DOI 10.5194/hess-23-2601-2019
   Napolitan Rachel, Ice Jams Trigger Operation of the Moose Creek Dam on Chena River
   Napolitan Rachel, General Visits Northernmost USACE-Run Flood Control Project
   NOAA National Water Model, 2016, Improving NOAA's Water Prediction Services
   Obu J, 2019, EARTH-SCI REV, V193, P299, DOI 10.1016/j.earscirev.2019.04.023
   Osetinsky-Tzidaki I, 2023, WATER-SUI, V15, DOI 10.3390/w15010044
   Pawowski B., 2019, Encyclopedia of Water, V1st ed., P1, DOI [10.1002/9781119300762.wsts0035, DOI 10.1002/9781119300762.WSTS0035]
   Peters GP, 2013, NAT CLIM CHANGE, V3, P4, DOI 10.1038/nclimate1783
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   PRISM Climate Group at Oregon State University, 2022, United States Average Annual Total Precipitation, 1991-2020 (4 km; BIL) dataset
   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]
   pubs, 2003, Estimating the Magnitude and Frequency of Peak Streamflows for Ungaged Sites on Streams in Alaska and Conterminous Basins in Canada
   RafieeiNasab A., Overview of WRF-Hydro Model Calibration General Strategy Optimization
   Rozell N., Fixing the Fatal Flaw of Fairbanks
   Sampson K., 2020, WRF HYDROGIS PREPROC
   sciencebase, 2022, USGS 5 Meter Alaska Digital Elevation Models (DEMs)-USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey
   serdp-estcp, Aquatic Ecosystem Vulnerability to Fire and Climate Change in Alaskan Boreal Forests
   Sharma A, 2023, J WATER CLIM CHANGE, V14, P2085, DOI 10.2166/wcc.2023.230
   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]
   Smith SL, 2022, NAT REV EARTH ENV, V3, P10, DOI 10.1038/s43017-021-00240-1
   Stakhiv EZ, 2021, WATER POLICY, V23, P106, DOI 10.2166/wp.2021.345
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   The pandas development team, 2023, Zenodo
   Turnipseed D.P., 2010, U.S. Geological Survey Techniques and Methods book 3, P1, DOI DOI 10.3133/TM3A8
   U.S. Army Corps of Engineers, Alaska District > News Releases
   U.S. Army Corps of Engineers, 2019, Chena River Lakes Flood Control Project and Tanana River Levee
   U.S. Army Corps of Engineers Moose Creek Dam Modification Study, 2018, Chena River Lakes Flood Control Project North Pole, Alaska Environmental Assessment
   USDA Natural Resources Conservation Service, Upper Chena, AK (952) Precipitation Accumulation
   USGS Chena R BL, 2023, USGS Water Data for the Nation
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vogel RM, 2011, J AM WATER RESOUR AS, V47, P464, DOI 10.1111/j.1752-1688.2011.00541.x
   Vuyovich C.M., 2012, ERDC/CRREL TR-12-1) CRREL
   Walker W.E, 2010, Integrated Assessment, V4, P5, DOI [10.1076/iaij.4.1.5.16466, DOI 10.1076/IAIJ.4.1.5.16466]
   Walsh JE, 2018, ENVIRON MODELL SOFTW, V110, P38, DOI 10.1016/j.envsoft.2018.03.021
   Walvoord MA, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030216
   Walvoord MA, 2016, VADOSE ZONE J, V15, DOI 10.2136/vzj2016.01.0010
   Wendler G, 2009, ARCTIC, V62, P295
   Young B, 2017, LANDSCAPE ECOL, V32, P397, DOI 10.1007/s10980-016-0450-2
   Zambrano-Bigiarini Mauricio, 2024, Zenodo, DOI 10.5281/ZENODO.839854
   Zarzycki CM, 2022, J ADV MODEL EARTH SY, V14, DOI 10.1029/2021MS002791
NR 100
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUL
PY 2024
VL 16
IS 14
AR 1949
DI 10.3390/w16141949
PG 25
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA ZR8W0
UT WOS:001277122000001
OA gold
DA 2025-01-10
ER

PT J
AU Beppu, K
   Kimura, MT
AF Beppu, Katsura
   Kimura, Masahito T.
TI Altitudinal distribution and seasonal life cycle of drosophilid flies
   (Diptera: Drosophilidae) in central Japan, with reference to their
   biogeographic features
SO ENTOMOLOGICAL SCIENCE
LA English
DT Article
DE Geographic distribution; Palearctic realm; Seasonal migration;
   Sino-Japanese realm
ID VIRILIS SECTION DIPTERA; SPECIES-GROUP DIPTERA; OVERWINTERING
   STRATEGIES; CLIMATIC ADAPTATIONS; EVOLUTION; PROVINCE; CHINA
AB Altitudinal distribution and seasonal life cycle of drosophilid flies (Diptera) were studied on the southwestern slope of Mt. Higashi-Kagonoto in Tomi and at Ishi-no-yu in Shiga Heights, Nagano, central Japan. Collections of flies were carried out from early spring to late autumn using traps baited with fermenting banana. Based on the present results and previous faunal reports from central Japan, major native drosophilid species collected in this study were classified into migratory (5 species), high-altitude (6), mid-altitude (14) and low-altitude (14) species. The migratory species are assumed to perform extensive seasonal migration between low- and high-altitude areas. Among these native species, Drosophila alpina (a high-altitude species) and D. moriwakii (a mid-altitude species) are assumed to pass only one generation in a year, while the others pass two or more generations. Five of the six high-altitude species are assigned as the Palearctic elements, while four of the five migratory species and 12 of the 14 low-altitude species are assigned as the Sino-Japanese elements. The mid-altitude species consist of approximately equal numbers of the Palearctic and Sino-Japanese elements. Among the high-altitude species, D. alpina and Hirtodrosophila makinoi are also distributed in high-altitude areas in Hokkaido, northern Japan. The other high-altitude species and most of the mid-altitude species generally occur in low-altitude areas in Hokkaido or the further north. The Sino-Japanese elements occurring at high and mid altitudes in central Japan are also distributed at high altitudes in southern and southwestern China.
C1 [Beppu, Katsura] Shinshu Univ, Fac Educ, Nagano, Japan.
   [Kimura, Masahito T.] Hokkaido Univ, Museum, Sapporo 0600810, Japan.
C3 Shinshu University; Hokkaido University
RP Kimura, MT (corresponding author), Hokkaido Univ, Museum, Sapporo 0600810, Japan.
EM mtk.sapporo@gmail.com
CR ASADA N, 1990, Bulletin of the Okayama University of Science A Natural Science, P125
   Asada N., 1987, B OKAYAMA U SCI NATU, P313
   Baechli Gerhard, 2002, Mitteilungen der Schweizerischen Entomologischen Gesellschaft, V75, P299
   Barçante L, 2017, J FIELD ORNITHOL, V88, P321, DOI 10.1111/jofo.12234
   BEPPU K, 1976, Journal of the Faculty of Science Hokkaido University Series VI Zoology, V20, P203
   BEPPU K, 1980, Kontyu, V48, P435
   Beppu K., 1986, New Entomologist, V35, P35
   BEPPU K, 1978, Journal of the Faculty of Science Hokkaido University Series VI Zoology, V21, P155
   Beppu K., 1985, New Entomologist, V34, P1
   BEPPU K, 1984, Kontyu, V52, P58
   BEPPU K, 1980, Kontyu, V48, P549
   Beppu Katsura, 2006, Memoirs of the National Science Museum (Tokyo), V43, P295
   Beppu Katsura, 1996, Japanese Journal of Entomology, V64, P627
   Beppu Katsura, 2000, Memoirs of the National Science Museum (Tokyo), V36, P409
   Beppu Katsura, 1998, New Entomologist, V47, P33
   Beppu Katsura, 1988, New Entomologist, V37, P6
   BURLA H, 1991, Z ZOOL SYST EVOL, V29, P176
   CARSON HL, 1983, INT J ENTOMOL, V25, P142
   COX CB, 2016, BIOGEOGRAPHY ECOLOGI
   Finet C, 2021, GENOME BIOL EVOL, V13, DOI 10.1093/gbe/evab179
   Girod P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29555-8
   Goto SG, 1999, BIOL J LINN SOC, V68, P429, DOI 10.1111/j.1095-8312.1999.tb01179.x
   Goto SG, 2000, MOL PHYLOGENET EVOL, V15, P147, DOI 10.1006/mpev.1999.0727
   Hampe A, 2011, ANNU REV ECOL EVOL S, V42, P313, DOI 10.1146/annurev-ecolsys-102710-145015
   Holt B, 2013, SCIENCE, V339, P74, DOI 10.1126/science.1228282
   Hoshina Hideto, 2001, Bulletin of the Institute of Environmental Science and Technology Yokohama National University, V27, P91
   Hsiung AC, 2018, BIOL REV, V93, P2049, DOI 10.1111/brv.12435
   ICHIJO N, 1992, ENTOMOL EXP APPL, V62, P23, DOI 10.1007/BF00185637
   ICHIJO N, 1982, Japanese Journal of Ecology, V32, P15
   IWAO Y, 1980, Kontyu, V48, P160
   Kanda Y., 2019, J HOKKAIDO U ED NATU, V70, P1
   Kaneko A., 1963, Zoological Magazine Tokyo, V72, P123
   Katoh TK, 2018, ZOOTAXA, V4422, P345, DOI 10.11646/zootaxa.4422.3.2
   Kawanishi M., 1975, ALTITUDINAL SEASONAL, V43, P106
   Kimura M. T., 1976, Research Bulletins, College Experiment Forests, Hokkaido University, V33, P449
   KIMURA M T, 1977, Kontyu, V45, P571
   Kimura MT, 2021, ENTOMOL SCI, V24, P35, DOI 10.1111/ens.12444
   Kimura MT, 2004, OECOLOGIA, V140, P442, DOI 10.1007/s00442-004-1605-4
   KIMURA MT, 1988, EVOLUTION, V42, P1288, DOI [10.2307/2409012, 10.1111/j.1558-5646.1988.tb04188.x]
   KIMURA MT, 1993, ECOL ENTOMOL, V18, P141, DOI 10.1111/j.1365-2311.1993.tb01195.x
   Kimura MT., 1978, BIONOMICS DROSOPHILI, V46, P585
   Lee TJ., 1962, KOREAN J ZOOLOGY, V5, P13
   Liria J, 2021, CLADISTICS, V37, P559, DOI 10.1111/cla.12448
   Lomolino MV., 2016, Biogeography. Biological Diversity across Space and Time, V5th
   LUMME J, 1978, Annales Entomologici Fennici, V44, P73
   Maca Jan, 1992, Annotationes Zoologicae et Botanicae, V210, P1
   Minami N., 1979, Research Bulletins, College Experiment Forests, Hokkaido University, V36, P479
   Minami N., 1990, B SOUNKYO MUSEUM NAT, P1
   Minami N., 1991, B SOUNKYO MUSEUM NAT, P1
   Mitsui H, 2010, ENTOMOL SCI, V13, P60, DOI 10.1111/j.1479-8298.2010.00372.x
   MOMMA E, 1965, JPN J GENET, V40, P275, DOI 10.1266/jjg.40.275
   Momma E., 1957, ZOOLOGY, V13, P93
   Oguma Y., 1987, B SUGADAIRA BIOLOGIC, P49
   OHTSU T, 1995, PHYSIOL ENTOMOL, V20, P248, DOI 10.1111/j.1365-3032.1995.tb00008.x
   Parsons P.A., 1981, Genetics and Biology of Drosophila, V3a, P349
   Peng T., 1990, TROP SUBTROP FOREST, V6, P55
   Peng T., 1990, TROPICAL SUBTROPICAL, V6, P61
   Perrigo A, 2020, J BIOGEOGR, V47, P315, DOI 10.1111/jbi.13731
   Shirasawa Shin-ichiro, 2007, Bulletin of the Institute of Nature Education in Shiga Heights Shinshu University, P1
   Takamori H, 2006, ENTOMOL SCI, V9, P121, DOI 10.1111/j.1479-8298.2006.00159.x
   Takeda E., 1991, SYLVICOLA, V9, P53
   Tanabe SI, 2001, ECOL RES, V16, P369, DOI 10.1046/j.1440-1703.2001.00402.x
   TODA M J, 1990, Japanese Journal of Entomology, V58, P523
   TODA M J, 1984, Physiology and Ecology Japan, V21, P131
   TODA M J, 1977, Japanese Journal of Ecology, V27, P207
   Toda MJ, 1999, J ANIM ECOL, V68, P794, DOI 10.1046/j.1365-2656.1999.00328.x
   Toda MJ., 1977, DROSOPHILA INFORMATI, V52, P180
   Toda MJ., 2022, DROSWLD SPECIES TAXO
   WAKAHAMA KEN-ICHI, 1962, ANNOT ZOOL JAPON, V35, P234
   Wang BC, 2006, MOL PHYLOGENET EVOL, V40, P484, DOI 10.1016/j.ympev.2006.03.026
   WATABE H, 1991, ZOOL SCI, V8, P147
   Watabe H., 1987, J HOKKAIDO U ED SECT, V37, P77
   Watabe H., 1985, BIONOMICS DROSOPHILI, V53, P34
   WATABE H-A, 1984, Journal of the Hokkaido University of Education Section II B, V35, P7
   WATABE H-A, 1977, Journal of the Faculty of Science Hokkaido University Series VI Zoology, V20, P611
   WATABE HA, 1990, ZOOL SCI, V7, P133
   Yamamoto Akihiko H., 1992, Memoirs of the Konan University Science Series, V39, P287
   YU M, 2019, ZOOTAXA, V4623, P113
   ZHANG W, 1986, Zoological Research, V7, P351
NR 79
TC 1
Z9 1
U1 0
U2 8
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1343-8786
EI 1479-8298
J9 ENTOMOL SCI
JI Entomol. Sci.
PD MAR
PY 2023
VL 26
IS 1
AR e12533
DI 10.1111/ens.12533
PG 11
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 7S8CB
UT WOS:000910977300001
DA 2025-01-10
ER

PT J
AU Luschkova, D
   Traidl-Hoffmann, C
   Ludwig, A
AF Luschkova, Daria
   Traidl-Hoffmann, Claudia
   Ludwig, Alika
TI Climate change and allergies
SO ALLERGO JOURNAL
LA German
DT Article
DE planetary -health, -climate change, heat, pollutant exposure, allergies,
   pollen, ragweed, thunderstorm- asthma, -COVID-19, health sector
AB The climate crisis poses a major challenge to human health as well as the healthcare system and threatens to jeopardize the medical progress made in recent decades. However, addressing climate change may also be the greatest opportunity for global health in the 21st century. The climate crisis and its consequences, such as rising temperatures, forest fires, floods, droughts, and changes in the quality and quantity of food and water, directly and indirectly affect human physical and mental health. More intense and frequent heat waves and declining air quality have been shown to increase all-cause mortality, especially among the most vulnerable. Climate warming alters existing ecosystems and favors biological invasions by species that better tolerate heat and drought. Pathogen profiles are changing, and the transmission and spread of vector-borne diseases are increasing. The spread of neophytes in Europe, such as ragweed, is creating new pollen sources that increase allergen exposure for allergy sufferers. In addition, the overall milder weather, especially in combination with air pollution and increased CO2 levels, is changing the production and allergenicity of pollen. The phenomenon of thunderstorm asthma is also occurring more frequently. In view of the increasing prevalence of allergic diseases due to climate change, early causal immunomodulatory therapy is therefore all the more important. During a climate consultation, patients can receive individual advice on climate adaptation and resilience and the benefits of CO2 reduction-for their own and the planet's health. Almost 5% of all greenhouse gas emissions in Europe come from the healthcare sector. It thus has a central responsibility for a climate-neutral and sustainable transformation.
C1 [Luschkova, Daria; Traidl-Hoffmann, Claudia; Ludwig, Alika] Univ Augsburg, Med Fak, Umweltmed, Augsburg, Germany.
   [Luschkova, Daria; Traidl-Hoffmann, Claudia; Ludwig, Alika] Univ Klinikum Augsburg, Hsch Ambulanz Umweltmed, Augsburg, Germany.
   [Traidl-Hoffmann, Claudia] Helmholtz Zentrum Munchen, Inst Umweltmed, Munich, Germany.
   [Traidl-Hoffmann, Claudia] CK CARE, Davos, Switzerland.
C3 University of Augsburg; Helmholtz Association; Helmholtz-Center Munich -
   German Research Center for Environmental Health
RP Luschkova, D (corresponding author), Univ Augsburg, Med Fak, Lehrstuhl & Hsch Ambulanz Umweltmed, Stenglinstr 2, D-86156 Augsburg, Germany.
EM daria.luschkova@tum.de
OI Luschkova, Daria/0000-0003-3354-4277; Beule, Achim/0000-0002-1622-6077;
   Traidl-Hoffmann, Claudia/0000-0001-5085-5179
CR Agache I, 2022, ALLERGY, V77, P1389, DOI 10.1111/all.15229
   [Anonymous], 2021, AR6 IPCC
   [Anonymous], HLTH HOSP HLTH PLAN
   Atwoli L, 2022, ALLERGY, V77, P730, DOI 10.1111/all.15059
   Beck I, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080147
   Chatelier J, 2021, J INFLAMM RES, V14, P4537, DOI 10.2147/JIR.S324282
   D'Amato G, 2019, ALLERGY, V74, P9, DOI 10.1111/all.13616
   Damialis A, 2020, J Allergy Clin Immunol, V145, pAB336
   Damialis A, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2019034118
   de Gier S, 2018, MOL IMMUNOL, V100, P82, DOI 10.1016/j.molimm.2018.03.015
   Eis Dieter., 2011, Klimawandel und Gesundheit-Ein Sachstandsbericht
   El Kelish A, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-176
   Endler C, 2017, PHANOLOGIE J
   Europaische Kommission, HAUSGR KOMM LASST DR
   Gilles S, 2011, J ALLERGY CLIN IMMUN, V127, P454, DOI 10.1016/j.jaci.2010.12.1082
   Harvey F., 2020, The Guardian
   Klauber H, 2021, VERS REP KLIM GES
   Lauletta M, 2022, PEDIATR PULM, V57, P862, DOI 10.1002/ppul.25842
   Ludwig A, 2021, VERSORGUNGS REPORT K, P133
   Luschkova D, 2021, ALLERGOLOGIE, V44, P681, DOI [10.5414/ALX02258E, 10.5414/ALX02258]
   Luschkova D, 2021, DEUT MED WOCHENSCHR, V146, P1636, DOI 10.1055/a-1560-7520
   Matthies-Wiesler F, 2020, LANCET COUNTDOWN HLT
   Matthies-Wiesler F, 2021, The lancet countdown for health and climate change-2021 Policy Brief for Germany
   Münzel T, 2022, CARDIOVASC RES, V118, P2880, DOI 10.1093/cvr/cvab316
   Pacheco SE, 2021, J ALLERGY CLIN IMMUN, V148, P1366, DOI 10.1016/j.jaci.2021.10.011
   Rahlenbeck S, 2017, DEUT ARZTEBLATT, V114, pA
   Rasmussen K, 2017, PEERJ, V5, DOI 10.7717/peerj.3104
   Rauer D, 2021, ALLERGY, V76, P1718, DOI 10.1111/all.14618
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Schumacher B, 2014, ALLERGO J, V23, P81
   Thamm R, 2018, WEISSBUCH ALLERGIEIN
   Traidl-Hoffmann C., 2021, Planetary Health, P52
   Traidl-Hoffmann C, 2020, DEUT ARZTEBLATT, V117, pB1332
   Traidl-Hoffmann C., 2021, Uberhitzt
   TraidlHoffmann C., 2021, PLANETARY HLTH KLIMA
   Wagenmann M, 2020, LARYNGO RHINO OTOL, V99, DOI 10.1055/a-1029-6494
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Zhao F, 2016, PLANT CELL ENVIRON, V39, P147, DOI 10.1111/pce.12601
NR 38
TC 33
Z9 36
U1 5
U2 21
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0941-8849
EI 2195-6405
J9 ALLERGO J
JI Allergo J.
PD JUN
PY 2022
VL 31
IS 4
BP 44
EP 53
DI 10.1007/s40629-022-00212-x
PG 10
WC Allergy
WE Emerging Sources Citation Index (ESCI)
SC Allergy
GA 5R3KU
UT WOS:000874413300015
PM 35693463
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Henrique, KP
   Tschakert, P
   du Coudray, CB
   Horwitz, P
   Krueger, KDC
   Wheeler, AJ
AF Henrique, Karen Paiva
   Tschakert, Petra
   du Coudray, Chantal Bourgault
   Horwitz, Pierre
   Krueger, Kai Daniel Christian
   Wheeler, Alexander James
TI Navigating loss and value trade-offs in a changing climate
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Lived values; Climate change; Hazards; Adaptation; Deliberation; Loss
   and damage
ID NONECONOMIC LOSS; MENTAL-HEALTH; LOCAL VALUES; ADAPTATION; GEOGRAPHIES;
   COMMUNITIES; DROUGHT; PEOPLES; LIMITS
AB Climate change puts at risk what people value in their everyday lives, with evidence of harm and suffering already taking place across all regions of the world. As societies slowly come to grips with the possibility of not being able to save everything that is valued, there is an urgent need to identify what is most important for individuals and groups, to prioritise action and prevent or minimise intolerable losses. Yet, people's priorities vary greatly; individual choices are contingent on what people hold dear in the places they inhabit, which in turn is shaped by their positioning in society and everyday experiences with harm and loss. In this article, we draw on recent epistemological and ontological engagements with climate adaptation and loss from the social sciences to examine how individuals consider their options to protect what they value most in the face of climatic impacts. Drawing on 80+ interviews with residents along an urban-rural transect in Western Australia, we first demonstrate the complex and dynamic nature of individual decision-making 'worlds'. We do this by using an innovative methodology that allows participants to visualise their value trade-offs, in the present and the future. We then examine similarities and differences between these worlds to show where priorities converge and diverge. We argue that attention to intersecting, conflicting, and potentially uncomfortable processes of prioritisation, and the losses and omissions they (re)produce, provide crucial entry points to negotiate adaptation and navigate risks within and across communities in ways that are inclusive, fair, and sustainable.
C1 [Henrique, Karen Paiva; Tschakert, Petra] Univ Western Australia, Sch Social Sci, Dept Geog & Planning, Perth, WA, Australia.
   [Henrique, Karen Paiva] Univ Amsterdam, Amsterdam Inst Social Sci Res AISSR, Dept Geog Planning & Int Dev GPIO, Amsterdam, Netherlands.
   [du Coudray, Chantal Bourgault] Univ Western Australia, Sch Humanities, 35 Stirling Highway, Perth, WA, Australia.
   [Horwitz, Pierre] Edith Cowan Univ, Ctr People Pl & Planet, Joondalup, WA, Australia.
   [Horwitz, Pierre] Edith Cowan Univ, Sch Sci, Joondalup, WA, Australia.
   [Krueger, Kai Daniel Christian; Wheeler, Alexander James] Univ Western Australia, UWA Sch Agr & Environm, Perth, WA, Australia.
C3 University of Western Australia; University of Amsterdam; University of
   Western Australia; Edith Cowan University; Edith Cowan University;
   University of Western Australia
RP Henrique, KP (corresponding author), Univ Amsterdam, Roeterseilandcampus,Nieuwe Achtergracht 166, NL-1018 WV Amsterdam, Netherlands.
EM k.paivahenrique@uva.nl
RI du Coudray, Chantal/AAU-6901-2020; Bourgault du Coudray,
   Chantal/H-8868-2014
OI Bourgault du Coudray, Chantal/0000-0002-2155-2512; Henrique, Karen
   Paiva/0000-0002-2163-2854; Tschakert, Petra/0000-0002-4268-3378
FU Australian Research Council [ARC] [DP180103700]
FX We would like to thank Elise Haddleton, Neville Ellis, and Ben Johnson
   for their help with data collection and data entry. We are also grateful
   to all our participants without whom this research would not have been
   possible. Funding This work was supported by the Australian Research
   Council [ARC Discovery Project DP180103700].
CR Adams V, 2014, MED ANTHROPOL, V33, P179, DOI 10.1080/01459740.2013.858335
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Alston M, 2008, J SOCIOL, V44, P133, DOI 10.1177/1440783308089166
   Amundsen H, 2015, LOCAL ENVIRON, V20, P257, DOI 10.1080/13549839.2013.838751
   Australia Co, 2018, SOCIO EC INDEXES ARE
   Ayeb-Karlsson S., 2021, REVIEW, DOI [10.21203/rs.3.rs-341515/v1, DOI 10.21203/RS.3.RS-341515/V1]
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Barnett J, 2016, NAT CLIM CHANGE, V6, P976, DOI 10.1038/nclimate3140
   Bartolini N, 2021, LANDSCAPE RES, V46, P8, DOI 10.1080/01426397.2020.1861228
   Bendell J., 2018, DEEP ADAPTATION MAP
   Blaser M, 2013, CURR ANTHROPOL, V54, P547, DOI 10.1086/672270
   Boda CS, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02970-z
   Brace C, 2011, PROG HUM GEOG, V35, P284, DOI 10.1177/0309132510376259
   Bryant L, 2015, GENDER PLACE CULT, V22, P67, DOI 10.1080/0966369X.2013.855628
   Calliari E, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102133
   Cassegård C, 2018, ENVIRON PLAN E-NAT, V1, P561, DOI 10.1177/2514848618793331
   Commonwealth Science Industrial Research Organisation (CSIRO), Climate change in Australia
   Coudray C.B. du., 2020, International Journal of Listening, 0(0), P1, DOI DOI 10.1080/10904018.2020.1803747
   Crosweller M, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.624
   Cunsolo A, 2018, NAT CLIM CHANGE, V8, P275, DOI 10.1038/s41558-018-0092-2
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Edensor T, 2020, GEOFORUM, V108, P255, DOI 10.1016/j.geoforum.2019.11.003
   Ensor J, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105360
   Ergen T., 2021, ECON SOCIOL, V22, P9
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   Friberg A, 2022, TIME SOC, V31, P48, DOI 10.1177/0961463X21998845
   Goldman MJ, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.526
   Goldman MJ, 2016, AREA, V48, P27, DOI 10.1111/area.12212
   Graham S, 2018, WORLD DEV, V108, P332, DOI 10.1016/j.worlddev.2017.12.008
   Graham S, 2014, GLOBAL ENVIRON CHANG, V29, P41, DOI 10.1016/j.gloenvcha.2014.07.013
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Hanna C, 2021, CLIM RISK MANAG, V31, DOI 10.1016/j.crm.2021.100278
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Henrique K P., 2022, Oxford Open Climate Change, V2, DOI DOI 10.1093/OXFCLM/KGAB013
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Johnson D, 2021, LOCAL ENVIRON, V26, P477, DOI 10.1080/13549839.2021.1901266
   Kemter M, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001884
   Kenis A, 2019, ENVIRON PLAN C-POLIT, V37, P831, DOI 10.1177/0263774X18807209
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Kwaymullina A, 2016, ALTERNATIVE, V12, P437, DOI 10.20507/AlterNative.2016.12.4.8
   Lavau S, 2013, ENVIRON PLANN D, V31, P416, DOI 10.1068/d25411
   Lavrillier A, 2013, POLAR REC, V49, P260, DOI 10.1017/S0032247413000284
   Livingstone DN, 2012, CLIMATIC CHANGE, V113, P91, DOI 10.1007/s10584-012-0409-5
   Malloy JT, 2020, CLIMATIC CHANGE, V160, P1, DOI 10.1007/s10584-020-02705-6
   Massey D., 2004, GEOGR ANN B, V86, P5, DOI [10.1111/j.0435-3684.2004.00150.x, DOI 10.1111/J.0435-3684.2004.00150.X]
   McNamara KE, 2021, CURR OPIN ENV SUST, V50, P1, DOI 10.1016/j.cosust.2020.07.004
   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
   Mouffe C, 2011, THINK ACTION, P1
   Mouffe C., 2000, Ethical Perspectives, V7, P146
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100292
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Pearson J, 2023, ANTHROPOCENE REV, V10, P343, DOI 10.1177/20530196211005482
   Plumwood V., 1999, Worldviews: Global Religions, Culture Ecology, V3, P157, DOI DOI 10.1163/156853599X00135
   Popke J, 2016, AREA, V48, P2, DOI 10.1111/area.12220
   Porter L, 2020, PLAN THEORY PRACT, V21, P293, DOI 10.1080/14649357.2020.1748959
   Preston CJ, 2017, ETHICS POLICY ENV, V20, P143, DOI 10.1080/21550085.2017.1342962
   Rigby CW, 2011, AUST J RURAL HEALTH, V19, P249, DOI 10.1111/j.1440-1584.2011.01223.x
   Roberts E, 2020, CLIM POLICY, V20, P758, DOI 10.1080/14693062.2019.1680336
   Robinson Fiona., 1999, Globalizing Care: Ethics, Feminist Theory, And International Relations
   Robinson Jennifer., 2013, ORDINARY CITIES MODE
   Serdeczny OM, 2018, CLIM DEV, V10, P97, DOI 10.1080/17565529.2017.1372268
   Stanley SK, 2021, J CLIM CHANGE HEALTH, V1, DOI 10.1016/j.joclim.2021.100003
   Stewart-Harawira MW, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1464
   Tschakert P, 2019, GLOBAL ENVIRON CHANG, V55, P58, DOI 10.1016/j.gloenvcha.2018.11.006
   Tschakert P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.699
   Tschakert P, 2022, ENVIRON POLIT, V31, P277, DOI 10.1080/09644016.2020.1853448
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   Vardoulakis S, 2020, JAMA INTERN MED, V180, P635, DOI 10.1001/jamainternmed.2020.0703
   Veland S, 2018, CURR OPIN ENV SUST, V31, P41, DOI 10.1016/j.cosust.2017.12.005
   Weir J. K., 2021, CLIN INFECT DIS, V20, P171, DOI [10.21307/borderlands-2021-007, DOI 10.21307/BORDERLANDS-2021-007]
   Whyte K, 2018, DAEDALUS-US, V147, P136, DOI 10.1162/DAED_a_00497
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Willox AC, 2013, CLIMATIC CHANGE, V121, P255, DOI 10.1007/s10584-013-0875-4
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wolf J, 2013, GLOBAL ENVIRON CHANG, V23, P548, DOI 10.1016/j.gloenvcha.2012.11.007
   Zhang Y, 2020, MED J AUSTRALIA, DOI 10.5694/mja2.50869
   Ziervogel G, 2019, AMBIO, V48, P494, DOI 10.1007/s13280-018-1141-9
NR 82
TC 7
Z9 7
U1 0
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2022
VL 35
AR 100405
DI 10.1016/j.crm.2022.100405
EA FEB 2022
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 2P7RD
UT WOS:000819932300002
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ali, A
   Ghafoor, A
   Usman, M
   Usman, M
   Bashir, MK
   Javed, MI
   Arsalan, M
AF Ali, Asghar
   Ghafoor, Abdul
   Usman, Muhammad
   Usman, Muhammad
   Bashir, Muhammad Khalid
   Javed, Muhammad Ishaq
   Arsalan, Muhammad
TI VALUATION OF COST AND RETURNS OF STRAWBERRY IN PUNJAB, PAKISTAN
SO PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES
LA English
DT Article
DE Cost; Returns; Marketing channel; Productivity; Multiple Linear
   Regression
ID NONFUMIGATED SOIL; PERFORMANCE; CULTIVARS
AB The planned study was conducted to estimate per acre cost of production and net returns of strawberry. It also identified the factors affecting the productivity of strawberry. The research also put fingers on identifying different marketing channels prevalent in strawberry supply chain. Primary data were collected from 110 farmers engaged in strawberry cultivation using a well-structured and field pre-tested questionnaire. Descriptive statistics was used to explain the socioeconomic characteristics of the farm households while multiple regression analysis was employed to examine the factors affecting the production of strawberry. The results purported that per acre yield and farm gate price received were 244 mounds and Rs. 1964/40 kg, respectively. Total revenue from strawberry cultivation was estimated as Rs. 478234 and net profit gained from one acre of strawberry was Rs. 250979. Growing strawberry is profitable enterprise as returns are more than double against the cost incurred. The Benefit Cost Ratio (BCR) was calculated to be 2.10. The results revealed that the education, land holding, dummy of sowing time, climate adaptation and mitigation, and access to loan were contributing positively and significantly to strawberry production. However, owing the existence of fruits and vegetables market far away from farm showed a negative impact on yield. It is need of the time that educated farmers should be encouraged to engage in the strawberry farming. Policy makers and extension workers should motivate the farmers to increase the acreage under cultivation of strawberry. Farmers should be given guidelines regarding the adaptation measures to cope the vulnerabilities of climate. Easy and timely availability of loan should be ensured to the farmers. Finally, output markets should be developed nearby growing areas to fetch higher prices and reduce transportation cost and post-harvest losses.
C1 [Ali, Asghar; Usman, Muhammad; Bashir, Muhammad Khalid; Arsalan, Muhammad] Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad, Pakistan.
   [Ghafoor, Abdul] Univ Agr Faisalabad, Inst Business Management Sci, Faisalabad, Pakistan.
   [Usman, Muhammad] Univ Agr Faisalabad, Inst Hort Sci, Faisalabad, Pakistan.
   [Javed, Muhammad Ishaq] Ayub Agr Res Inst, Agr Econ Sect, Faisalabad, Pakistan.
C3 University of Agriculture Faisalabad; University of Agriculture
   Faisalabad; University of Agriculture Faisalabad
RP Usman, M (corresponding author), Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad, Pakistan.; Usman, M (corresponding author), Univ Agr Faisalabad, Inst Hort Sci, Faisalabad, Pakistan.
EM usmanghani99@hotmail.com; khalid450@uaf.edu.pk
RI Usman, Mohammed/G-9132-2011; Arsalan, Muhammad/KRP-8755-2024; Usman,
   Muhammad/AAA-7157-2022; Usman, Muhammad/F-1633-2016; Bashir, Muhammad
   Khalid/H-9729-2014
OI Ghafoor, Professor Dr. Abdul/0000-0002-9350-9556
FU U.S.-Pakistan Center for Advanced Studies in Agriculture and Food
   Security (USPCAS-AFS); University of Agriculture, Faisalabad, Pakistan;
   Punjab Agricultural Research Board (PARB) [971]
FX The first author acknowledged the financial support of U.S.-Pakistan
   Center for Advanced Studies in Agriculture and Food Security
   (USPCAS-AFS), University of Agriculture, Faisalabad, Pakistan and Punjab
   Agricultural Research Board (PARB) for this research work under the
   Project NO. 971.
CR Afridi G. S., 2009, Pakistan Journal of Life and Social Sciences, V7, P59
   Agir HB, 2015, J AGR SCI-TARIM BILI, V21, P13
   Ahmad B, 2018, PAK J AGR SCI, V55, P691, DOI 10.21162/PAKJAS/18.6056
   Amin, 1996, ANN REPORT, V212, P4
   Asad A., 1997, ADV LEAFL MFVDP, V30, P1
   Badar H., 2015, Value chain performance improvement for sustainable mango industry development in Pakistan
   Banaeian N., 2011, Research Journal of Applied Sciences, Engineering and Technology, V3, P185
   Boriss H, 2012, COMMODITY STRAWBERRY
   Chandler CK, 2001, HORTTECHNOLOGY, V11, P69, DOI 10.21273/HORTTECH.11.1.69
   Chaudhry A.M, 1992, Research Report
   Childre, 1983, US FOOD J, V15, P4
   Dash P.K, 2017, HORTIC SCI, V52, P268
   Fatima H, 2016, SAR J AGR, V33, P117
   Food and Agriculture Organization, 2010, FAO STAT 2010 11
   Galic D, 2014, EKON POLJOPR, V61, P851, DOI 10.5937/ekoPolj1404851G
   Hancock JF, 2001, HORTSCIENCE, V36, P136, DOI 10.21273/HORTSCI.36.1.136
   Hanif Z, 2011, P NAT RES CLIM FOD S, P614
   Khan H., 2003, AGR EC
   Mahat P., 2018, Nepalese Journal of Agricultural Sciences, V16, P175
   Mehdi Mubashir, 2020, Sarhad Journal of Agriculture, V36, P574, DOI 10.17582/journal.sja/2020/36.2.574.585
   Mehdi M, 2016, PAK J AGR SCI, V53, P733, DOI 10.21162/PAKJAS/16.5084
   Muhammad Tariq Muhammad Tariq, 2018, Sarhad Journal of Agriculture, V34, P93, DOI 10.17582/journal.sja/2018/34.1.93.101
   Muliar D., 2017, EC AFAIR, V62, P113
   Naseer MAUR, 2019, PAK J AGR SCI, V56, P1003, DOI 10.21162/PAKJAS/19.8671
   Rajwana IA, 2017, ACTA HORTIC, V1156, P909, DOI 10.17660/ActaHortic.2017.1156.134
   Rhainds M, 2002, BIOL AGRIC HORTIC, V19, P333, DOI 10.1080/01448765.2002.9754937
   Ruth T K., 2016, Journal of Applied Communications, V100, P4
   Samtani JB, 2019, HORTTECHNOLOGY, V29, P11, DOI 10.21273/HORTTECH04135-18
   Stevens MD, 2011, HORTSCIENCE, V46, P445, DOI 10.21273/HORTSCI.46.3.445
   Whitaker VM, 2015, HORTSCIENCE, V50, P1088, DOI 10.21273/HORTSCI.50.7.1088
   Woo Choi Don, 2018, [Journal of Korean Society for Quality Management, 품질경영학회지], V46, P707, DOI 10.7469/JKSQM.2018.46.3.707
NR 31
TC 4
Z9 4
U1 16
U2 25
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 JAN
PY 2021
VL 58
IS 1
BP 283
EP 290
DI 10.21162/PAKJAS/21.10050
PG 8
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA SV9PV
UT WOS:000664151300033
DA 2025-01-10
ER

PT J
AU Keep, T
   Sampoux, JP
   Blanco-Pastor, JL
   Dehmer, KJ
   Hegarty, MJ
   Ledauphin, T
   Litrico, I
   Muylle, H
   Roldán-Ruiz, I
   Roschanski, AM
   Ruttink, T
   Surault, F
   Willner, E
   Barre, P
AF Keep, Thomas
   Sampoux, Jean-Paul
   Blanco-Pastor, Jose Luis
   Dehmer, Klaus J.
   Hegarty, Matthew J.
   Ledauphin, Thomas
   Litrico, Isabelle
   Muylle, Hilde
   Roldan-Ruiz, Isabel
   Roschanski, Anna M.
   Ruttink, Tom
   Surault, Fabien
   Willner, Evelin
   Barre, Philippe
TI High-Throughput Genome-Wide Genotyping To Optimize the Use of Natural
   Genetic Resources in the Grassland Species Perennial Ryegrass (<i>Lolium
   perenne</i>L.)
SO G3-GENES GENOMES GENETICS
LA English
DT Article
DE natural diversity; genebank; association study; genomic prediction;
   forage species; GWAS; GenPred; Shared data resources
ID AGRONOMIC EVALUATION; DROUGHT SURVIVAL; CLIMATE-CHANGE; PREDICTION;
   ASSOCIATION; POPULATIONS; SELECTION; STRATEGIES; SET; ARCHITECTURE
AB The natural genetic diversity of agricultural species is an essential genetic resource for breeding programs aiming to improve their ecosystem and production services. A large natural ecotype diversity is usually available for most grassland species. This could be used to recombine natural climatic adaptations and agronomic value to create improved populations of grassland species adapted to future regional climates. However describing natural genetic resources can be long and costly. Molecular markers may provide useful information to help this task. This opportunity was investigated forLolium perenneL., using a set of 385 accessions from the natural diversity of this species collected right across Europe and provided by genebanks of several countries. For each of these populations, genotyping provided the allele frequencies of 189,781 SNP markers. GWAS were implemented for over 30 agronomic and/or putatively adaptive traits recorded in three climatically contrasted locations (France, Belgium, Germany). Significant associations were detected for hundreds of markers despite a strong confounding effect of the genetic background; most of them pertained to phenology traits. It is likely that genetic variability in these traits has had an important contribution to environmental adaptation and ecotype differentiation. Genomic prediction models calibrated using natural diversity were found to be highly effective to describe natural populations for almost all traits as well as commercial synthetic populations for some important traits such as disease resistance, spring growth or phenological traits. These results will certainly be valuable information to help the use of natural genetic resources of other species.
C1 [Keep, Thomas; Sampoux, Jean-Paul; Blanco-Pastor, Jose Luis; Ledauphin, Thomas; Litrico, Isabelle; Surault, Fabien; Barre, Philippe] INRAE, Ctr Nouvelle Aquitaine Poitiers, UR4 UR P3F, F-86600 Lusignan, France.
   [Dehmer, Klaus J.; Roschanski, Anna M.; Willner, Evelin] Leibniz Inst Plant Genet & Crop Plant Res IPK, Inselstr 9, D-23999 Malchow Poel, Germany.
   [Hegarty, Matthew J.] Aberystwyth Univ, IBERS, Aberystwyth, Dyfed, Wales.
   [Muylle, Hilde; Roldan-Ruiz, Isabel; Ruttink, Tom] Flanders Res Inst Agr Fisheries & Food ILVO, Plant Sci Unit, Caritasstr 39, B-9090 Melle, Belgium.
C3 INRAE; Leibniz Institut fur Pflanzengenetik und Kulturpflanzenforschung;
   UK Research & Innovation (UKRI); Biotechnology and Biological Sciences
   Research Council (BBSRC); Institute of Biological, Environmental, Rural
   & Sciences (IBERS); Aberystwyth University; Institute For Agricultural &
   Fisheries Research
RP Barre, P (corresponding author), INRAE, UR4 UR P3F, F-86600 Lusignan, France.
EM philippe.barre@inrae.fr
RI ; Blanco-Pastor, Jose Luis/R-2075-2018
OI Sampoux, Jean-Paul/0000-0002-9196-4707; Blanco-Pastor, Jose
   Luis/0000-0002-7708-1342; Muylle, Hilde/0000-0001-7350-4179; Keep,
   Thomas/0000-0002-3012-7972; Roldan-Ruiz, Isabel/0000-0001-7340-3386;
   LEDAUPHIN, Thomas/0000-0001-5299-6039; Hegarty,
   Matthew/0000-0001-6547-3800; Ruttink, Tom/0000-0002-1012-9399
FU Nouvelle-Aquitaine administrative region; Institut National de la
   Recherche Agronomique in France; 2014 FACCE-JPI ERA-NET+ call Climate
   Smart Agriculture; EC [618105]; Agence Nationale de la Recherche (ANR);
   Institut National de la Recherche Agronomique (INRA - metaprogramme
   ACCAF) in France; Biotechnology and Biological Sciences Research Council
   (BBSRC) in the United-Kingdom; Bundesantalt fur Landwirtschaft und
   Ernahrung (BLE) in Germany; Ghent University in Belgium; FWO; Flemish
   Government - department EWI; BBSRC [BB/M018393/1, BBS/E/W/10962A01D,
   BBS/E/W/10962A01B] Funding Source: UKRI
FX T.Keep has received the support from the Nouvelle-Aquitaine
   administrative region (50% of funding) and from the Institut National de
   la Recherche Agronomique (25%: INRA -metaprogramme ACCAF; 25%: BAP -
   Plant Biology and Breeding research division) in France. This work was
   funded in the frame of the project GrassLandscape awarded by the 2014
   FACCE-JPI ERA-NET+ call Climate Smart Agriculture. Funding was granted
   by the EC (grant agreement no 618105), by the Agence Nationale de la
   Recherche (ANR) and the Institut National de la Recherche Agronomique
   (INRA - metaprogramme ACCAF) in France, the Biotechnology and Biological
   Sciences Research Council (BBSRC) in the United-Kingdom, the
   Bundesantalt fur Landwirtschaft und Ernahrung (BLE) in Germany. The
   computational resources (Stevin Supercomputer Infrastructure) and
   services used for genotype calling were provided by the VSC (Flemish
   Supercomputer Center), funded by Ghent University in Belgium, FWO and
   the Flemish Government - department EWI. The authors thank the curators
   from the genebanks that provided perennial ryegrass seed samples for the
   needs of the project and staff from European agronomic research
   institutes who contributed to in situ collections in 2015. Perennial
   ryegrass is one of the plant species covered under the Multilateral
   System of the International Treaty on Plant Genetic Resources for Food
   and Agriculture. All genetic materials used in this study were made
   available to the authors after signature of a Standard Material Transfer
   Agreement (SMTA) by the provider and the recipient. Implementation and
   signature of a SMTA provides compliance with the provisions of the
   Nagoya Protocol for parties wishing to provide and receive genetic
   material under the Multilateral System. The authors thank greatly all
   the technical staff involved in the project from IBERS, ILVO, INRAE and
   IPK. The authors declare no conflict of interest.
CR Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Andersen JR, 2006, PLANT MOL BIOL, V60, P481, DOI 10.1007/s11103-005-4815-1
   Arojju SK, 2016, BMC PLANT BIOL, V16, DOI 10.1186/s12870-016-0844-y
   BALFOURIER F, 1991, EUPHYTICA, V57, P57
   Balfourier F, 1998, GENET SEL EVOL, V30, pS215, DOI 10.1051/gse:19980713
   Bao Y, 2015, MOL BREEDING, V35, DOI 10.1007/s11032-015-0324-3
   Barre P, 2018, GRASS FORAGE SCI, V73, P193, DOI 10.1111/gfs.12304
   Barre P., 2014, INNOV AGRON, V35, P151
   Bastide H, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003534
   Bell G, 2010, PHILOS T R SOC B, V365, P87, DOI 10.1098/rstb.2009.0150
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Blackmore T, 2016, SCI REP-UK, V6, DOI 10.1038/srep22603
   Breithaupt H, 2008, EMBO REP, V9, P832, DOI 10.1038/embor.2008.157
   Burstin J, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1266-1
   Byrne S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057438
   Byrne SL, 2015, PLANT J, V84, P816, DOI 10.1111/tpj.13037
   Casler MD, 2002, THEOR APPL GENET, V104, P127, DOI 10.1007/s001220200015
   Castañeda-Alvarez NP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.22, 10.1038/nplants.2016.22]
   Cericola F, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00369
   CHARMET G, 1989, AGRONOMIE, V9, P985, DOI 10.1051/agro:19891007
   CHARMET G, 1990, AGRONOMIE, V10, P807, DOI 10.1051/agro:19901004
   Chavent M, 2018, COMPUTATION STAT, V33, P1799, DOI 10.1007/s00180-018-0791-1
   Condon AG, 2002, CROP SCI, V42, P122, DOI 10.2135/cropsci2002.0122
   Crossa J, 2016, G3-GENES GENOM GENET, V6, P1819, DOI 10.1534/g3.116.029637
   Dengler J, 2014, AGR ECOSYST ENVIRON, V182, P1, DOI 10.1016/j.agee.2013.12.015
   El Bakkali A, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061265
   Elhaik E, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4513
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Endelman JB, 2012, G3-GENES GENOM GENET, V2, P1405, DOI 10.1534/g3.112.004259
   Faville MJ, 2018, THEOR APPL GENET, V131, P703, DOI 10.1007/s00122-017-3030-1
   Fè D, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-2163-3
   Fè D, 2015, CROP SCI, V55, P631, DOI 10.2135/cropsci2014.06.0441
   Ford-Lloyd BV, 2011, BIOSCIENCE, V61, P559, DOI 10.1525/bio.2011.61.7.10
   Gaj P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035307
   Griffin PC, 2012, J PLANT ECOL, V5, P121, DOI 10.1093/jpe/rtr010
   Grinberg NF, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00133
   Hajjar R, 2007, EUPHYTICA, V156, P1, DOI 10.1007/s10681-007-9363-0
   Hirschhorn JN, 2002, GENET MED, V4, P45, DOI 10.1097/00125817-200203000-00002
   HUMPHREYS MO, 1989, EUPHYTICA, V41, P99, DOI 10.1007/BF00022418
   Isidro J, 2015, THEOR APPL GENET, V128, P145, DOI 10.1007/s00122-014-2418-4
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Jia CJ, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01220
   Kooke R, 2016, PLANT PHYSIOL, V170, P2187, DOI 10.1104/pp.15.00997
   Le Corre V, 2003, GENETICS, V164, P1205
   Blanco-Pastor JL, 2019, J BIOGEOGR, V46, P1451, DOI 10.1111/jbi.13587
   Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
   McDonagh J, 2016, EUPHYTICA, V212, P187, DOI 10.1007/s10681-016-1754-7
   Meuwissen THE, 2001, GENETICS, V157, P1819
   Nicolae DL, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000888
   Overpeck JT, 2013, NATURE, V503, P350, DOI 10.1038/503350a
   Oyarzabal M, 2008, J VEG SCI, V19, P183, DOI 10.3170/2007-8-18349
   Peixoto LD, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179191
   Pembleton LW, 2018, THEOR APPL GENET, V131, P1891, DOI 10.1007/s00122-018-3121-7
   Pivovaroff AL, 2016, FUNCT ECOL, V30, P517, DOI 10.1111/1365-2435.12518
   POWELL T L, 1974, New Zealand Journal of Experimental Agriculture, V2, P237
   R Core Team, 2019, R LANG ENV STAT COMP
   Raineri E, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-239
   Ramstein GP, 2016, G3-GENES GENOM GENET, V6, P1049, DOI 10.1534/g3.115.024950
   Reheul D, 2010, HANDB PLANT BREED, V5, P1, DOI 10.1007/978-1-4419-0760-8_1
   Riaz M, 2016, SCI REP-UK, V6, DOI 10.1038/srep37924
   Rieseberg LH, 2002, P NATL ACAD SCI USA, V99, P12242, DOI 10.1073/pnas.192360899
   Rieseberg LH, 1999, HEREDITY, V83, P363, DOI 10.1038/sj.hdy.6886170
   Rincent R, 2012, GENETICS, V192, P715, DOI 10.1534/genetics.112.141473
   Sanada Y, 2007, EUPHYTICA, V153, P267, DOI 10.1007/s10681-006-9262-9
   Sanchez-Bermejo E, 2015, PLANT PHYSIOL, V169, P647, DOI 10.1104/pp.15.00942
   Skot L, 2007, GENETICS, V177, P535, DOI 10.1534/genetics.107.071522
   Spindel JE, 2016, HEREDITY, V116, P395, DOI 10.1038/hdy.2015.113
   Stearns FW, 2010, GENETICS, V186, P767, DOI 10.1534/genetics.110.122549
   Storz JF, 2005, MOL ECOL, V14, P671, DOI 10.1111/j.1365-294X.2005.02437.x
   Thorwarth P, 2018, G3-GENES GENOM GENET, V8, P707, DOI 10.1534/g3.117.300199
   Untergasser A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks596
   van Hintum T. J, 2000, IPGPI TECHNICAL B, V3, P9
   Veeckman E, 2019, DNA RES, V26, P1, DOI 10.1093/dnares/dsy033
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Volaire F., 2018, Global Change Biology, V24, P2929
   VOLAIRE F, 1995, J APPL ECOL, V32, P56, DOI 10.2307/2404415
   WILKINS PW, 1991, EUPHYTICA, V52, P201, DOI 10.1007/BF00029397
   Yu XQ, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.150, 10.1038/nplants.2016.150]
   Zeven A. C., 1979, BROADENING GENETIC B
   Zhao K, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1467
NR 80
TC 18
Z9 19
U1 1
U2 23
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD SEP
PY 2020
VL 10
IS 9
BP 3347
EP 3364
DI 10.1534/g3.120.401491
PG 18
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA NQ8QF
UT WOS:000571131800039
PM 32727925
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Suvocarev, K
   Castellví, F
   Reba, ML
   Runkle, BRK
AF Suvocarev, K.
   Castellvi, F.
   Reba, M. L.
   Runkle, B. R. K.
TI Surface renewal measurements of <i>H</i>, λ<i>E</i> and CO<sub>2</sub>
   fluxes over two different agricultural systems
SO AGRICULTURAL AND FOREST METEOROLOGY
LA English
DT Article
DE Eddy covariance; Surface renewal; Turbulent fluxes; Cotton; Rice
ID SENSIBLE HEAT-FLUX; ENERGY-BALANCE CLOSURE; TEMPERATURE STRUCTURE
   FUNCTIONS; EDDY-COVARIANCE MEASUREMENTS; 3 CONTRASTING SURFACES;
   COHERENT EDDIES; LATENT; MODEL; FETCH
AB The importance of understanding turbulent scalar exchange over agricultural landscapes motivated this study of the surface renewal (SR) method for deployment in place of or alongside eddy covariance (EC) instrumentation. High-frequency (20 Hz) scalar data were used with turbulence and similarity parameters for SR measurements of turbulent sensible heat (H), latent heat (lambda E), and CO2 (Fc) flux. The eddy covariance method was used to provide a reference data set to compare the performance of SR to EC flux measurements when the SR input requirements were determined with either: (1) fast-response (SR1) or (2) slow-response (SR2) wind velocities. We test SR1 and SR2 over two agricultural crops, cotton and rice, that are suitable for adaptive ("climate-smart") management solutions which rely on decisions informed by extensive micrometeorological measurements. One advantage that the SR method provides is its simplicity of deployment and maintenance, requiring less energy and resources than typical EC networks. Regardless of the crop and scalar eddy flux, both SR flux methods agreed well with the EC flux measurements; coefficients of determination (R2) and slopes (s) of linear regression analysis ranges were [0.88, 0.98] and [1.01, 1.22], respectively. It was concluded that when EC measurements are unavailable, SR may be used as an alternative for additional climate-smart agriculture research efforts and this method may allow for higher spatial monitoring resolution because of the possibility to avoid the use of sonic anemometry.
C1 [Suvocarev, K.; Runkle, B. R. K.] Univ Arkansas, Dept Biol & Agr Engn, Fayetteville, AR 72701 USA.
   [Castellvi, F.] Univ Lleida, Dept Environm & Soil Sci, Lleida, Spain.
   [Reba, M. L.] USDA ARS, Delta Water Management Res Unit, Jonesboro, AR USA.
C3 University of Arkansas System; University of Arkansas Fayetteville;
   Universitat de Lleida; United States Department of Agriculture (USDA)
RP Suvocarev, K (corresponding author), Univ Arkansas, Dept Biol & Agr Engn, Fayetteville, AR 72701 USA.
EM ksuvocar@uark.edu
RI Runkle, B./AAC-3404-2020; Castellvi, Francesc/C-5075-2011
OI Runkle, Benjamin Reade Kreps/0000-0002-2583-1199; Castellvi,
   Francesc/0000-0001-8573-2849; Suvocarev, Kosana/0000-0002-5519-2287
FU U.S. Geological Survey [G11AP20066, G16AP00040]; USDA-NRCS
   [68-7103-17-119]; NSF [1752083]; AEI/FEDER, UE [CGL2015-65627-C3-1-R];
   Directorate For Engineering; Div Of Chem, Bioeng, Env, & Transp Sys
   [1752083] Funding Source: National Science Foundation
FX The authors are thankful to the Isbell family for hosting the rice
   experiment at Zero Grade Farms, N. Ray Benson and Wildy Family Farms for
   hosting the cotton experiment, and field support from Colby Reavis, S.
   Faye Smith, Bryant Fong, Yin-Lin Chiu, Jonathon Delp and Matthew Roby.
   We also thank Dr. Rex David Pyles for proofreading the manuscript. Part
   of this work was funded through the U.S. Geological Survey under
   Cooperative Agreements G11AP20066 and G16AP00040 administered by the
   Arkansas Water Resources Center at the University of Arkansas,
   Fayetteville; the USDA-NRCS under Cooperative Agreement 68-7103-17-119,
   the NSF under Award 1752083, and CGL2015-65627-C3-1-R (AEI/FEDER, UE).
   The views and conclusions contained in this document are those of the
   authors and should not be interpreted as representing the opinions or
   policies of the US Department of Agriculture. Any use of trade, firm, or
   product names is for descriptive purposes only and does not imply
   endorsement by the US Government.
CR [Anonymous], J APPL METEOROL CLIM, DOI DOI 10.1175/1520-0450(1970)0092.0.CO;2,1970
   [Anonymous], 2018, R LANG ENV STAT COMP
   Baker JM, 2005, AGR FOREST METEOROL, V128, P163, DOI 10.1016/j.agrformet.2004.11.005
   Baldocchi DD, 2003, GLOBAL CHANGE BIOL, V9, P479, DOI 10.1046/j.1365-2486.2003.00629.x
   Castellvi F, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004035
   Castellvi F, 2008, AGR FOREST METEOROL, V148, P1147, DOI 10.1016/j.agrformet.2008.02.012
   Castellvi F, 2006, AGR FOREST METEOROL, V139, P164, DOI 10.1016/j.agrformet.2006.07.005
   Castellví F, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002677
   Castellví F, 2012, AGR FOREST METEOROL, V152, P233, DOI 10.1016/j.agrformet.2011.10.004
   Charuchittipan D, 2014, BOUND-LAY METEOROL, V152, P303, DOI 10.1007/s10546-014-9922-6
   Chen WJ, 1997, BOUND-LAY METEOROL, V84, P99, DOI 10.1023/A:1000338817250
   Chen WJ, 1997, BOUND-LAY METEOROL, V84, P125, DOI 10.1023/A:1000342918158
   Drexler JZ, 2004, HYDROL PROCESS, V18, P2071, DOI 10.1002/hyp.1462
   Dyer A. J., 1974, Boundary-Layer Meteorology, V7, P363, DOI 10.1007/BF00240838
   Foken T, 2008, ECOL APPL, V18, P1351, DOI 10.1890/06-0922.1
   Foken T, 2011, B AM METEOROL SOC, V92, pES13, DOI 10.1175/2011BAMS3130.1
   Franzluebbers AJ, 2005, SOIL TILL RES, V83, P120, DOI 10.1016/j.still.2005.02.012
   Guo XF, 2009, BOUND-LAY METEOROL, V131, P363, DOI 10.1007/s10546-009-9377-3
   Haymann N, 2019, AGR FOREST METEOROL, V268, P63, DOI 10.1016/j.agrformet.2019.01.010
   Horst TW, 2015, BOUND-LAY METEOROL, V155, P371, DOI 10.1007/s10546-015-0010-3
   Katul G, 1996, BOUND-LAY METEOROL, V80, P249, DOI 10.1007/BF00119545
   KYAW TPU, 1995, AGR FOREST METEOROL, V74, P119
   Loescher HW, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006932
   Mauder M, 2010, BOUND-LAY METEOROL, V136, P175, DOI 10.1007/s10546-010-9497-9
   Moratiel R, 2013, IRRIGATION SCI, V31, P411, DOI 10.1007/s00271-011-0319-8
   Poblete-Echeverría C, 2014, AGR WATER MANAGE, V141, P74, DOI 10.1016/j.agwat.2014.04.006
   Reba ML, 2017, J CONTEMP WAT RES ED, V162, P128, DOI 10.1111/j.1936-704X.2017.03264.x
   Rosa R, 2015, BIOSYST ENG, V136, P149, DOI 10.1016/j.biosystemseng.2015.05.012
   Rosa R, 2013, BIOSYST ENG, V114, P406, DOI 10.1016/j.biosystemseng.2012.06.011
   Runkle BRK, 2019, ENVIRON SCI TECHNOL, V53, P671, DOI 10.1021/acs.est.8b05535
   Runkle BRK, 2017, AGR ENV LETT, V2, DOI 10.2134/ael2017.01.0003
   Savage MJ, 2017, J HYDROL, V547, P742, DOI 10.1016/j.jhydrol.2017.02.043
   SCHOTANUS P, 1983, BOUND-LAY METEOROL, V26, P81, DOI 10.1007/BF00164332
   Shapland TM, 2012, BOUND-LAY METEOROL, V145, P27, DOI 10.1007/s10546-012-9740-7
   Snyder RL, 1996, BOUND-LAY METEOROL, V77, P249, DOI 10.1007/BF00123527
   Spano D, 1997, AGR FOREST METEOROL, V86, P259, DOI 10.1016/S0168-1923(96)02420-3
   Stoy PC, 2013, AGR FOREST METEOROL, V171, P137, DOI 10.1016/j.agrformet.2012.11.004
   Stull R. B., 1988, INTRO BOUNDARY LAYER, V13, DOI [10.1007/978-94-009-3027-8, DOI 10.1007/978-94-009-3027-8]
   Suvocarev K, 2014, J HYDROL, V509, P83, DOI 10.1016/j.jhydrol.2013.11.025
   Tillman J. E., 1972, Journal of Applied Meteorology, V11, P783, DOI 10.1175/1520-0450(1972)011<0783:TIDOSH>2.0.CO;2
   VANATTA CW, 1977, ARCH MECH, V29, P161
   Zapata N, 2001, J HYDROL, V254, P215, DOI 10.1016/S0022-1694(01)00495-4
NR 42
TC 20
Z9 24
U1 2
U2 21
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 DEC 15
PY 2019
VL 279
AR 107763
DI 10.1016/j.agrformet.2019.107763
PG 9
WC Agronomy; Forestry; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry; Meteorology & Atmospheric Sciences
GA JS3GO
UT WOS:000500197400048
OA Bronze
DA 2025-01-10
ER

PT J
AU Dan, ZW
   Chen, YP
   Xu, YH
   Huang, JR
   Huang, JS
   Hu, J
   Yao, GX
   Zhu, YG
   Huang, WC
AF Dan, Zhiwu
   Chen, Yunping
   Xu, Yanghong
   Huang, Junran
   Huang, Jishuai
   Hu, Jun
   Yao, Guoxin
   Zhu, Yingguo
   Huang, Wenchao
TI A metabolome-based core hybridisation strategy for the prediction of
   rice grain weight across environments
SO PLANT BIOTECHNOLOGY JOURNAL
LA English
DT Article
DE prediction; metabolic markers; partial least squares regression; core
   hybrids; grain weight; rice (Oryza sativa)
ID GENOMIC PREDICTION; HYBRID PERFORMANCE; AGRONOMIC TRAITS; MAIZE;
   ASSOCIATION; ACCURACY; DROUGHT
AB Marker-based prediction holds great promise for improving current plant and animal breeding efficiencies. However, the predictabilities of complex traits are always severely affected by negative factors, including distant relatedness, environmental discrepancies, unknown population structures, and indeterminate numbers of predictive variables. In this study, we utilised two independent F-1 hybrid populations in the years 2012 and 2015 to predict rice thousand grain weight (TGW) using parental untargeted metabolite profiles with a partial least squares regression method. A stable predictive model for TGW was built based on hybrids from the population in 2012 (r = 0.75) but failed to properly predict TGW for hybrids from the population in 2015 (r = 0.27). After integrating hybrids from both populations into the training set, the TGW of hybrids could be predicted but was largely dependent on population structures. Then, core hybrids from each population were determined by principal component analysis and the TGW of hybrids in both environments were successfully predicted (r > 0.60). Moreover, adjusting the population structures and numbers of predictive analytes increased TGW predictability for hybrids in 2015 (r = 0.72). Our study demonstrates that the TGW of F-1 hybrids across environments can be accurately predicted based on parental untargeted metabolite profiles with a core hybridisation strategy in rice. Metabolic biomarkers identified from early developmental stage tissues, which are grown under experimental conditions, may represent a workable approach towards the robust prediction of major agronomic traits for climate-adaptive varieties.
C1 [Dan, Zhiwu; Chen, Yunping; Xu, Yanghong; Huang, Junran; Huang, Jishuai; Hu, Jun; Zhu, Yingguo; Huang, Wenchao] Wuhan Univ, Key Lab Res & Utilizat Heterosis Indica Rice, Yangtze River Valley Hybrid Rice Collaborat & Inn, State Key Lab Hybrid Rice,Coll Life Sci, Wuhan, Hubei, Peoples R China.
   [Yao, Guoxin] Hubei Engn Univ, Sch Life & Sci Technol, Xiaogan, Peoples R China.
C3 Wuhan University; Hubei Engineering University
RP Huang, WC (corresponding author), Wuhan Univ, Key Lab Res & Utilizat Heterosis Indica Rice, Yangtze River Valley Hybrid Rice Collaborat & Inn, State Key Lab Hybrid Rice,Coll Life Sci, Wuhan, Hubei, Peoples R China.
EM wenchaoh@whu.edu.cn
RI Dan, Zhiwu/AAM-5103-2021; Chen, Yunping/LTZ-7175-2024
OI Dan, Zhiwu/0000-0002-3930-9158; Chen, Yunping/0000-0001-8787-9385
FU National Key R&D Program of China [2017YFD0100400]; National Natural
   Science Foundation of China [31771746]; National Rice Industry
   Technology System [CARS-01-07]; Open Research Fund of State Key
   Laboratory of Hybrid Rice (Wuhan University)
FX This research was supported by the National Key R&D Program of China
   (2017YFD0100400), National Natural Science Foundation of China
   (31771746), National Rice Industry Technology System (CARS-01-07), and
   the Open Research Fund of State Key Laboratory of Hybrid Rice (Wuhan
   University).
CR Barker M, 2003, J CHEMOMETR, V17, P166, DOI 10.1002/cem.785
   Dan ZW, 2016, SCI REP-UK, V6, DOI 10.1038/srep21732
   Dan ZW, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00738
   Lima FDE, 2017, PLANT J, V90, P319, DOI 10.1111/tpj.13495
   Fernandez O, 2016, METABOLOMICS, V12, DOI 10.1007/s11306-016-1099-1
   Fernie AR, 2011, PLANT CELL, V23, P2477, DOI 10.1105/tpc.111.086272
   Fernie AR, 2009, TRENDS GENET, V25, P39, DOI 10.1016/j.tig.2008.10.010
   Gardinassi L., 2017, CURR PHARM REP, V3, P374, DOI [10.1007/s40495-017-0107-0, DOI 10.1007/S40495-017-0107-0]
   Gowda H, 2014, ANAL CHEM, V86, P6931, DOI 10.1021/ac500734c
   Gowda M, 2014, HEREDITY, V112, P552, DOI 10.1038/hdy.2013.139
   Guo ZG, 2016, THEOR APPL GENET, V129, P2413, DOI 10.1007/s00122-016-2780-5
   Jolliffe I., 2014, WILEY STATSREF STAT
   Lado B, 2013, G3-GENES GENOM GENET, V3, P2105, DOI 10.1534/g3.113.007807
   Maddison AL, 2017, GCB BIOENERGY, V9, P1264, DOI 10.1111/gcbb.12418
   Obata T, 2015, PLANT PHYSIOL, V169, P2665, DOI 10.1104/pp.15.01164
   Riedelsheimer C, 2012, NAT GENET, V44, P217, DOI 10.1038/ng.1033
   Schauer N, 2006, NAT BIOTECHNOL, V24, P447, DOI 10.1038/nbt1192
   Schulthess A. W., 2017, GENOMIC SELECTION CR, P149
   Slavov GT, 2014, NEW PHYTOL, V201, P1227, DOI 10.1111/nph.12621
   Sprenger H, 2018, PLANT BIOTECHNOL J, V16, P939, DOI 10.1111/pbi.12840
   Sprenger H, 2016, PLANT CELL ENVIRON, V39, P2370, DOI 10.1111/pce.12780
   Steinfath M, 2010, PLANT BIOTECHNOL J, V8, P900, DOI 10.1111/j.1467-7652.2010.00516.x
   Technow F, 2014, GENETICS, V197, P1343, DOI 10.1534/genetics.114.165860
   Wang WS, 2016, J EXP BOT, V67, P405, DOI 10.1093/jxb/erv476
   Wang Y, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-556
   Windhausen VS, 2012, G3-GENES GENOM GENET, V2, P1427, DOI 10.1534/g3.112.003699
   Wray NR, 2013, NAT REV GENET, V14, P507, DOI 10.1038/nrg3457
   Xia Jianguo, 2016, Curr Protoc Bioinformatics, V55, DOI 10.1002/cpbi.11
   Xia JG, 2015, NUCLEIC ACIDS RES, V43, pW251, DOI 10.1093/nar/gkv380
   Xu SZ, 2016, PLANT J, V88, P219, DOI 10.1111/tpj.13242
   Xu Y, 2017, HEREDITY, V119, P174, DOI 10.1038/hdy.2017.27
   Zenke-Philippi C, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2580-y
   Zhao XQ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108020
   Zhao YS, 2015, P NATL ACAD SCI USA, V112, P15624, DOI 10.1073/pnas.1514547112
NR 34
TC 11
Z9 12
U1 1
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1467-7644
EI 1467-7652
J9 PLANT BIOTECHNOL J
JI Plant Biotechnol. J.
PD MAY
PY 2019
VL 17
IS 5
BP 906
EP 913
DI 10.1111/pbi.13024
PG 8
WC Biotechnology & Applied Microbiology; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Plant Sciences
GA HU2FN
UT WOS:000465086900008
PM 30321482
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Zhang, ZJ
   Zhang, YF
   Jin, L
AF Zhang, Zhongjun
   Zhang, Yufeng
   Jin, Ling
TI Thermal comfort in interior and semi-open spaces of rural folk houses in
   hot-humid areas
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Rural folk house; Thermal comfort; Hot-humid area; Semi-open space;
   Field study
ID PASSIVE COOLING TECHNIQUES; BUILDINGS; CLIMATE; TEMPERATURES; RESPONSES;
   BEHAVIOR; OUTDOOR
AB Semi-open spaces are a key element in the climate adaptive design of rural folk houses and are important places where rural residents perform daily activities in hot-humid areas. In this study, a year-long thermal comfort field survey was conducted in rural folk houses in 11 rural areas in the Guangdong Province, the hot-humid area of southern China. The subjective responses of residents were recorded via questionnaires, and all ambient environment parameters were measured. The results show that air speed was greater and relative humidity was lower in the semi-open spaces. The clothing insulation of the survey respondents varied with indoor operative temperatures from 0.27 do to 1.2 clo during the non-summer season and remained steady at 0.30 clo during the summer season. The thermal neutral, acceptable and preferred indoor operative temperatures were determined for the interior and semi-open spaces in the summer and non-summer. Compared to those of the interior spaces, the thermal neutral temperature was 0.6-1.3 degrees C lower and the upper limit of 80% acceptable temperature was decreased by 0.8-4.7 degrees C in the semi-open spaces. The acceptable temperature in the summer for the rural residents was found to be 0.2-1 degrees C higher than that of the urban residents in the same climate. Psychological factors such as local culture, expectations and perceived control might be the reasons for these differences. This study contributes to a better understanding of the thermal comfort of rural people and to the improvement of rural living conditions.
C1 [Zhang, Zhongjun; Zhang, Yufeng] South China Univ Technol, Dept Architecture, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Guangdong, Peoples R China.
   [Zhang, Zhongjun] Anyang Inst Technol, Sch Civil & Architectural Engn, Anyang 455000, Peoples R China.
   [Jin, Ling] South China Agr Univ, Dept Water Conservancy & Civil Engn, Guangzhou 510640, Guangdong, Peoples R China.
C3 South China University of Technology; Anyang Institute of Technology;
   South China Agricultural University
RP Zhang, YF (corresponding author), South China Univ Technol, Dept Architecture, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Guangdong, Peoples R China.
EM zhangyuf@scut.edu.cn
RI Zhang, Yufeng/GSD-5532-2022; zhang, zhongjun/GPX-8944-2022
OI Zhang, zhongjun/0000-0001-6219-8196; Zhang, Yufeng/0000-0002-5882-1675
FU National Natural Science Foundation of China [50708038, 51708228];
   Program for New Century Excellent Talents in University [NCET-10-0373]
FX This work was supported by the National Natural Science Foundation of
   China under Grant (No. 50708038, No. 51708228); the Program for New
   Century Excellent Talents in University under Grant (No. NCET-10-0373).
CR [Anonymous], 2004, Standard 55. Thermal Environment Conditions for Human Occupancy
   [Anonymous], ROLE PERSONAL CONTRO
   Baran M, 2011, J CLEAN PROD, V19, P609, DOI 10.1016/j.jclepro.2010.11.001
   Chen H, 2010, HV AC, V40, P96
   Chen J., 2014, RES NATURAL VENTILAT
   China Meteorological Administration Division of Climatic Season, 2012, 152 QXT CHIN MET ADM
   Dili AS, 2010, ENERG BUILDINGS, V42, P2139, DOI 10.1016/j.enbuild.2010.07.004
   Du XY, 2014, BUILD ENVIRON, V82, P215, DOI 10.1016/j.buildenv.2014.08.022
   Fernandes J, 2015, BUILDINGS, V5, P1242, DOI 10.3390/buildings5041242
   Foruzanmehr D., 2012, INT J SUSTAIN DES, V2
   Hidayahtuljamilah N., 2012, INT C INN TECHN SUST, V20, P1
   Huang L., 2010, J SE U ENGLISH EDITI, V26, P169
   Huang Y., 2014, Build. Energy, P75
   Hui X., 2016, STUDY CLIMATE ADAPTA
   Hwang R-L., 2007, ARCHIT SCI REV, V50, P357, DOI [10.3763/asre.2007.5043, DOI 10.3763/ASRE.2007.5043]
   [金玲 Jin Ling], 2013, [土木建筑与环境工程, Journal of Civil, Architectural & Environmental Engineering], V35, P105
   Kubota T, 2015, PROCD SOC BEHV, V179, P29, DOI 10.1016/j.sbspro.2015.02.408
   Liu WW, 2012, BUILD ENVIRON, V50, P76, DOI 10.1016/j.buildenv.2011.10.014
   Lu Q., 2008, Guangdong Folk Houses, V1st ed.
   Lu SL, 2015, PROCEDIA ENGINEER, V121, P944, DOI 10.1016/j.proeng.2015.09.060
   Manioglu G, 2008, BUILD ENVIRON, V43, P1301, DOI 10.1016/j.buildenv.2007.03.014
   Michael A., 2017, ENERGY BUILD, P144
   Nakano J., 2004, Ashrae Transactions, V110, P543
   Nematchoua MK, 2014, APPL ENERG, V114, P687, DOI 10.1016/j.apenergy.2013.10.036
   Rijal HB, 2010, BUILD ENVIRON, V45, P2743, DOI 10.1016/j.buildenv.2010.06.002
   Ryu Y, 2009, BUILD ENVIRON, V44, P18, DOI 10.1016/j.buildenv.2008.01.007
   Sheng X., 2013, FILED TEST ANAL THER
   Spagnolo J, 2003, BUILD ENVIRON, V38, P721, DOI 10.1016/S0360-1323(02)00209-3
   Subramanian C., 2017, INT J CIV ENG TECHNO, V8, P440
   Toe DHC, 2015, SOL ENERGY, V114, P229, DOI 10.1016/j.solener.2015.01.035
   Wang ZJ, 2010, ENERG BUILDINGS, V42, P2406, DOI 10.1016/j.enbuild.2010.08.010
   Xie H., 2007, SMALL TOWN CONSTR, V12, P58
   Yan HY, 2016, J THERM BIOL, V59, P92, DOI 10.1016/j.jtherbio.2016.05.004
   [杨柳 YANG Liu], 2011, [西安建筑科技大学学报, Journal of Xi'an University of Architecture & Technology], V43, P551
   Yao RM, 2010, APPL ENERG, V87, P1015, DOI 10.1016/j.apenergy.2009.09.028
   Zhang Y, 2016, INDOOR AIR, V26, P820, DOI 10.1111/ina.12256
   Zhang Y., 2011, HEAT VENT AIR COND, V45, P2562
   Zhang YF, 2015, BUILD ENVIRON, V87, P207, DOI 10.1016/j.buildenv.2015.02.002
   Zhang YF, 2013, BUILD ENVIRON, V64, P213, DOI 10.1016/j.buildenv.2012.09.009
   Zhang ZJ, 2017, BUILD RES INF, V45, P209, DOI 10.1080/09613218.2017.1246003
   Zhou X., 2011, HEAT VENT AIR COND, V41, P94
NR 41
TC 56
Z9 60
U1 8
U2 121
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JAN 15
PY 2018
VL 128
BP 336
EP 347
DI 10.1016/j.buildenv.2017.10.028
PG 12
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA FT2VU
UT WOS:000423004900029
DA 2025-01-10
ER

PT B
AU Thiis, TK
   Gaitani, N
   Burud, I
   Engan, JA
AF Thiis, Thomas K.
   Gaitani, Niki
   Burud, Ingunn
   Engan, Jon Arne
BE Brebbia, CA
   Sendra, JJ
TI CLASSIFICATION OF URBAN BLUE GREEN STRUCTURES WITH AERIAL MEASUREMENTS
SO SUSTAINABILITY AND THE CITY
LA English
DT Article; Book Chapter
DE Materials; multispectral survey; unmanned airborne vehicle; vegetation;
   water permeability
AB The development of climate-responsive design has social and environmental impacts, as the adverse effects of climate change are particularly relevant for urban areas. Green and blue infrastructure has been identified as best practice for achieving greater urban sustainability and resilience. The climatic improvements from use of blue-green infrastructure are generally related to the ability to moderate the impacts of extreme precipitation and temperature. However, the challenges and barriers to implementation of climate adaptation plans focusing on the use of blue-green spaces have not been analysed extensively to date.
   The present work describes a novel methodology to measure and classify urban surface parameters, which are important for the understanding and simulation of urban flooding. An aerial survey with multispectral sensors in VIS/NIR (Visible and Near Infrared) and IR (Infrared) wavelengths on a UAV (Unmanned Airborne Vehicle) has been carried out at the campus of the Norwegian University of Life Sciences in As, Norway. The area covers various types of surface such as asphalt, concrete, gravel, vegetation and water. The Normalized Difference Vegetation Index (NDVI) derived from the VIS/NIR images have been used to study the spatial distribution and physical characteristics of the vegetation. Multivariate statistical tools have further been utilized to classify the different terrain materials according to their reflectance spectral properties from the multispectral VIS/NIR/IR data cubes. These materials have been linked to roughness and infiltration properties that are commonly used in water analysis simulation tools. Photogrammetry was applied to compute the Digital Surface Map (DSM), which was used to determine drainage lines and water accumulation areas in the surveyed area. The applied method provides data with high spatial resolution that can simplify and improve simulation of urban flooding.
C1 [Thiis, Thomas K.; Burud, Ingunn; Engan, Jon Arne] Norwegian Univ Life Sci, Dept Math Sci & Technol, Campus As, As, Norway.
   [Gaitani, Niki] Natl & Kapodistrian Univ Athens, Phys Dept, Bldg Phys,Univ Campus, Athens, Greece.
C3 Norwegian University of Life Sciences; National & Kapodistrian
   University of Athens
RP Thiis, TK (corresponding author), Norwegian Univ Life Sci, Dept Math Sci & Technol, Campus As, As, Norway.
CR [Anonymous], 2016, The New Urban Agenda
   [Anonymous], 2014, DEMOGR RES
   CEN, 2004, 146142004 CEN
   Cerdan O, 2002, CATENA, V46, P189, DOI 10.1016/S0341-8162(01)00166-7
   Colaninno N., 2012, DEFINING DENSITIES U, VXXXIX-B7
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   EPRS, 2015, DEV EU URB AG
   Hunter NM, 2007, GEOMORPHOLOGY, V90, P208, DOI 10.1016/j.geomorph.2006.10.021
   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
   Liao KH, 2016, LANDSCAPE URBAN PLAN, V155, P69, DOI 10.1016/j.landurbplan.2016.01.014
   Ludwig B., 1996, P HYDROGIS 96 APPL G
   MOORE ID, 1991, HYDROL PROCESS, V5, P3, DOI 10.1002/hyp.3360050103
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Priest SJ, 2011, J ENVIRON MANAGE, V92, P3038, DOI 10.1016/j.jenvman.2011.06.041
   Snaddon C.D., 1998, Aquatic Ecosystem Health & Management, V1, P159
   Souchère V, 2003, CATENA, V50, P489, DOI 10.1016/S0341-8162(02)00124-8
   Tak ken I., 2001, J HYDROL, V248, P1, DOI [10.1016/S0022-1694(01)00360-2, DOI 10.1016/S0022-1694(01)00360-2]
   TARBOTON DG, 1991, HYDROL PROCESS, V5, P81, DOI 10.1002/hyp.3360050107
   Urban Climate Change Research Network UCCRN, 2011, CLIM CHANG CIT 1 ASS
NR 19
TC 0
Z9 0
U1 2
U2 12
PU WIT PRESS
PI SOUTHAMPTON
PA ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND
BN 978-1-78466-322-3; 978-1-78466-321-6
PY 2018
BP 15
EP 24
DI 10.2495/SDP-V13-N4-506-515
PG 10
WC Green & Sustainable Science & Technology; Regional & Urban Planning;
   Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Public Administration; Urban
   Studies
GA BP7NQ
UT WOS:000562627100003
OA Bronze
DA 2025-01-10
ER

PT J
AU Mockler, EM
   Chun, KP
   Sapriza-Azuri, G
   Bruen, M
   Wheater, HS
AF Mockler, E. M.
   Chun, K. P.
   Sapriza-Azuri, G.
   Bruen, M.
   Wheater, H. S.
TI Assessing the relative importance of parameter and forcing uncertainty
   and their interactions in conceptual hydrological model simulations
SO ADVANCES IN WATER RESOURCES
LA English
DT Article
DE Uncertainty; Hydrological modelling; Rainfall modelling; Model
   parameters; Performance criteria
ID STOCHASTIC RAINFALL MODEL; CLIMATE-CHANGE; PRECIPITATION; CIRCULATION;
   SENSITIVITY; IMPACT; SCENARIOS; FRAMEWORK; SYSTEMS; UK
AB Predictions of river flow dynamics provide vital information for many aspects of water management including water resource planning, climate adaptation, and flood and drought assessments. Many of the subjective choices that modellers make including model and criteria selection can have a significant impact on the magnitude and distribution of the output uncertainty. Hydrological modellers are tasked with understanding and minimising the uncertainty surrounding streamflow predictions before communicating the overall uncertainty to decision makers. Parameter uncertainty in conceptual rainfall-runoff models has been widely investigated, and model structural uncertainty and forcing data have been receiving increasing attention. This study aimed to assess uncertainties in streamflow predictions due to forcing data and the identification of behavioural parameter sets in 31 Irish catchments. By combining stochastic rainfall ensembles and multiple parameter sets for three conceptual rainfall-runoff models, an analysis of variance model was used to decompose the total uncertainty in streamflow simulations into contributions from (i) forcing data, (ii) identification of model parameters and (iii) interactions between the two. The analysis illustrates that, for our subjective choices, hydrological model selection had a greater contribution to overall uncertainty, while performance criteria selection influenced the relative intra-annual uncertainties in streamflow predictions. Uncertainties in streamflow predictions due to the method of determining parameters were relatively lower for wetter catchments, and more evenly distributed throughout the year when the Nash-Sutcliffe Efficiency of logarithmic values of flow (lnNSE) was the evaluation criterion. (C) 2016 The Authors. Published by Elsevier Ltd.
C1 [Mockler, E. M.; Bruen, M.] Univ Coll Dublin, Dooge Ctr Water Resources Res, Dublin 4, Ireland.
   [Chun, K. P.] Hong Kong Baptist Univ, Dept Geog, Hong Kong, Hong Kong, Peoples R China.
   [Sapriza-Azuri, G.; Wheater, H. S.] Univ Saskatchewan, Global Inst Water Secur, 11 Innovat Blvd, Saskatoon, SK S7N 3H5, Canada.
C3 University College Dublin; Hong Kong Baptist University; University of
   Saskatchewan; Global Institute for Water Security
RP Mockler, EM (corresponding author), Univ Coll Dublin, Dooge Ctr Water Resources Res, Dublin 4, Ireland.
EM eva.mockler@ucd.ie
RI Mockler, Eva/G-3961-2016; Chun, Kwok Pan/P-5782-2018
OI Bruen, Michael/0000-0002-5614-9432; Chun, Kwok Pan/0000-0001-9873-6240
FU Ireland Canada University Foundation (ICUF); Irish Environmental
   Protection Agency Research Programme [2013-W-FS-14]; Global Institute
   for Water Security; Environmental Protection Agency Ireland (EPA)
   [2013-W-FS-14] Funding Source: Environmental Protection Agency Ireland
   (EPA)
FX The authors would like to thank the Ireland Canada University Foundation
   (ICUF) for a Dobbin Scholarship that initiated this research. The first
   author is supported by a postdoctoral fellowship from the Irish
   Environmental Protection Agency Research Programme (2013-W-FS-14). The
   second and third authors were supported by postdoctoral fellowships from
   the Global Institute for Water Security. We are particularly gratefully
   to the anonymous reviewers for the robust discussion that substantially
   improved the manuscript.
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 1977, 62 SYN CLIM BRANCH
   BARDOSSY A, 1992, WATER RESOUR RES, V28, P1247, DOI 10.1029/91WR02589
   BARNSTON AG, 1987, MON WEATHER REV, V115, P1083, DOI 10.1175/1520-0493(1987)115<1083:CSAPOL>2.0.CO;2
   Barry R.G., 2003, ATMOSPHERE WEATHER C, V8th
   Bastola S, 2011, ADV WATER RESOUR, V34, P562, DOI 10.1016/j.advwatres.2011.01.008
   Bellone E, 2000, CLIM RES, V15, P1, DOI 10.3354/cr015001
   Beven K, 2006, J HYDROL, V320, P18, DOI 10.1016/j.jhydrol.2005.07.007
   Bosshard T, 2013, WATER RESOUR RES, V49, P1523, DOI 10.1029/2011WR011533
   Breuer L, 2009, ADV WATER RESOUR, V32, P129, DOI 10.1016/j.advwatres.2008.10.003
   Bruen M, 2010, ATMOS SCI LETT, V11, P92, DOI 10.1002/asl.258
   Butts MB, 2004, J HYDROL, V298, P242, DOI 10.1016/j.jhydrol.2004.03.042
   Chandler R.E., 2015, RGLIMCLIM MULTISITE
   Chandler RE, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000906
   Charlton R, 2006, CLIMATIC CHANGE, V74, P475, DOI 10.1007/s10584-006-0472-x
   Chun KP, 2012, CLIMATIC CHANGE, V113, P639, DOI 10.1007/s10584-011-0375-3
   Chun KP, 2009, HYDROL RES, V40, P96, DOI 10.2166/nh.2009.086
   Chun K.P., 2010, P BHS 3 INT S ROL HY
   Chun KP, 2013, CAN WATER RESOUR J, V38, P311, DOI 10.1080/07011784.2013.830368
   Clark MP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006735
   COE R, 1982, J APPL METEOROL, V21, P1024, DOI 10.1175/1520-0450(1982)021<1024:FMTDRD>2.0.CO;2
   Corte-Real J, 1999, CLIM RES, V13, P61, DOI 10.3354/cr013061
   Cressie N., 2015, Statistics for Spatial Data
   Dirks KN, 1998, J HYDROL, V208, P187, DOI 10.1016/S0022-1694(98)00155-3
   Draper N. R., 1998, Applied regression analysis, VVol. 326
   Dunn SM, 2008, HYDROL PROCESS, V22, P2389, DOI 10.1002/hyp.7070
   Fowler HJ, 2000, HYDROL EARTH SYST SC, V4, P263, DOI 10.5194/hess-4-263-2000
   Fowler HJ, 2005, J HYDROL, V308, P50, DOI 10.1016/j.jhydrol.2004.10.021
   Frost AJ, 2011, J HYDROL, V408, P1, DOI 10.1016/j.jhydrol.2011.06.021
   Futter MN, 2014, HYDROL EARTH SYST SC, V18, P855, DOI 10.5194/hess-18-855-2014
   Goswami M, 2005, HYDROL EARTH SYST SC, V9, P394, DOI 10.5194/hess-9-394-2005
   Gupta HV, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011044
   HAY LE, 1991, WATER RESOUR RES, V27, P493, DOI 10.1029/90WR02650
   Jones PD, 2013, INT J CLIMATOL, V33, P1129, DOI 10.1002/joc.3498
   JONES PD, 1993, INT J CLIMATOL, V13, P655, DOI 10.1002/joc.3370130606
   KACHROO RK, 1992, J HYDROL, V133, P141, DOI 10.1016/0022-1694(92)90150-T
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Kavetski D, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004368
   Khan H., 1986, CONCEPTUAL MODELLING
   Kigobe M., 2014, NILE RIVER BASIN, P421, DOI [10.1007/978-3-319-02720-3_22, DOI 10.1007/978-3-319-02720-3_22]
   Kirchner JW, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004362
   Krause P., 2005, ADV GEOSCIENCES, V5, P89, DOI DOI 10.5194/ADGEO-5-89-2005
   Loucks D.P., 2005, WATER RESOURCES SYST, P255
   Medici C, 2012, J HYDROL, V440, P1, DOI 10.1016/j.jhydrol.2012.02.047
   Mendoza PA, 2016, HYDROL PROCESS, V30, P1071, DOI 10.1002/hyp.10684
   Mills G., 2000, Irish geography, V33, P99
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mockler E., 2014, PATHWAYS PROJECT FIN
   Mockler E, 2013, IAHS-AISH P, V361, P235
   Mockler EM, 2016, COMPUT GEOSCI-UK, V90, P66, DOI 10.1016/j.cageo.2015.08.015
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Nielsen S.A., 1973, Nord. Hydrol, V4, P171, DOI 10.2166/nh.1973.0013
   O'Brien RJ, 2013, J HYDROL, V486, P259, DOI 10.1016/j.jhydrol.2013.01.034
   O'Loughlin F, 2013, HYDROL RES, V44, P334, DOI 10.2166/nh.2012.157
   Renard B, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008328
   RPS, 2008, FURTH CHAR STUD INT
   Saltelli A., 2004, Sensitivity analysis
   Sapriza-Azuri G., 2013, ACCOUNTING SEASONALI, V45, P621
   Sapriza-Azuri G, 2015, WATER RESOUR RES, V51, P1300, DOI 10.1002/2014WR016168
   Steele-Dunne S, 2008, J HYDROL, V356, P28, DOI 10.1016/j.jhydrol.2008.03.025
   Sun XY, 2012, ENVIRON MODELL SOFTW, V37, P19, DOI 10.1016/j.envsoft.2012.04.010
   Tan BQ, 1996, J HYDROL, V185, P275, DOI 10.1016/0022-1694(95)02993-1
   Thiessen A., 1911, Mon. Weather Rev., V39, P1082
   Todini E, 2009, NATO SCI PEACE SECUR, P205, DOI 10.1007/978-90-481-2636-1_9
   van Werkhoven K, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006271
   von Storch H., 1999, Statistical analysis in climate research, DOI [DOI 10.1017/CBO9780511612336, 10.1017/CBO9780511612336]
   Wagener T, 2001, HYDROL EARTH SYST SC, V5, P13, DOI 10.5194/hess-5-13-2001
   Wagener T, 2006, J HYDROL, V320, P132, DOI 10.1016/j.jhydrol.2005.07.015
   Walker W.E, 2010, Integrated Assessment, V4, P5, DOI [10.1076/iaij.4.1.5.16466, DOI 10.1076/IAIJ.4.1.5.16466]
   Wheater H. S., 1993, Modelling change in environmental systems., P101
   Wheater H, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0409
   Wheater HS, 2002, PHILOS T R SOC A, V360, P1409, DOI 10.1098/rsta.2002.1007
   WHEATER HS, 1986, HYDROL PROCESS, V1, P89, DOI 10.1002/hyp.3360010109
   Willems P, 2007, ENVIRON SCI POLICY, V10, P464, DOI 10.1016/j.envsci.2007.03.006
   Yang C, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003739
   Yang W, 2010, THEOR APPL CLIMATOL, V102, P439, DOI 10.1007/s00704-010-0272-0
   Younger PL., 2009, Groundwater in the environment: an introduction
   Zappa M, 2010, ATMOS SCI LETT, V11, P83, DOI 10.1002/asl.248
   [No title captured]
NR 79
TC 26
Z9 27
U1 1
U2 12
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0309-1708
EI 1872-9657
J9 ADV WATER RESOUR
JI Adv. Water Resour.
PD NOV
PY 2016
VL 97
BP 299
EP 313
DI 10.1016/j.advwatres.2016.10.008
PG 15
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA EA6XW
UT WOS:000386773500025
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Ahmed, KF
   Wang, G
   Yu, M
   Koo, J
   You, LZ
AF Ahmed, Kazi Farzan
   Wang, Guiling
   Yu, Miao
   Koo, Jawoo
   You, Liangzhi
TI Potential impact of climate change on cereal crop yield in West Africa
SO CLIMATIC CHANGE
LA English
DT Article
ID MAIZE PRODUCTION; LAND; HEAT
AB Resilience of crops to climate change is extremely critical for global food security in coming decades. Decrease in productivity of certain crops as a consequence of changing climate has already been observed. In West Africa, a region extremely vulnerable to climate change, various studies predicted significant reduction in productivity of the major crops because of future warming and shift in precipitation patterns. However, most studies either follow statistical approaches or involve only specific sites. Here, using a process-based crop model at a regional scale, we project the future changes in cereal crop yields as a result of climate change for West African countries in the absence of agricultural intensification for climate adaptation. Without adaptation, the long-term mean of crop yield is projected to decrease in most of the countries (despite some projected increase of precipitation) by the middle of the century, while the inter-annual variability of yield increases significantly. This increase of yield variability is attributed to an increase of inter-annual variability of growing season temperature and/or precipitation in future climate scenarios. The lower mean yield and larger year-to-year variation together make the regional food security extremely volatile. For a comprehensive understanding of climate change impact on crop yield, the distribution of temperature and precipitation over specific growth stages, in addition to growing season averages, should be accounted for. Although uncertainties are rife in calibrating and running a process-based crop model at regional scale, the present study offers insight into potential vulnerabilities of the agricultural system in specific countries or West Africa as a whole because of regional climate change.
C1 [Ahmed, Kazi Farzan; Wang, Guiling; Yu, Miao] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA.
   [Ahmed, Kazi Farzan; Wang, Guiling; Yu, Miao] Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT USA.
   [Koo, Jawoo; You, Liangzhi] Int Food Policy Res Inst, Washington, DC 20036 USA.
C3 University of Connecticut; University of Connecticut; CGIAR;
   International Food Policy Research Institute (IFPRI)
RP Ahmed, KF (corresponding author), Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA.
EM kfa09002@engr.uconn.edu
RI Koo, Jawoo/HNR-9802-2023; Koo, Jawoo/F-9397-2010
OI Koo, Jawoo/0000-0003-3424-9229; Wang, Guiling/0000-0002-9744-2563; You,
   Liangzhi/0000-0001-7930-8814
FU National Science Foundation [AGS-1049017, AGS-1048967]; Div Atmospheric
   & Geospace Sciences; Directorate For Geosciences [1049017] Funding
   Source: National Science Foundation
FX Funding support for this study was provided by National Science
   Foundation (AGS-1049017, AGS-1048967). We are grateful to K. J. Boote at
   the University of Florida, P. Singh at the International Crops Research
   Institute for the Semi-Arid Tropics and M. A. E. Bhuiyan at the
   University of Connecticut for their valuable feedback. We thank four
   anonymous reviewers for helpful comments on the manuscript.
CR Ahmed KF, 2013, GLOBAL PLANET CHANGE, V100, P320, DOI 10.1016/j.gloplacha.2012.11.003
   Allen L.H., 1996, GLOBAL CLIMATE CHANG
   [Anonymous], 2008, Environmental Performance of Agriculture in OECD Countries since 1990.
   [Anonymous], 2007, GRIDDED LIVESTOCK WO
   Batjes NH, 2002, 200201 ISRIC
   Berg A, 2011, CLIMATIC CHANGE, V104, P755, DOI 10.1007/s10584-010-9874-x
   Boé J, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/JD006889
   Ewers RM, 2009, GLOBAL CHANGE BIOL, V15, P1716, DOI 10.1111/j.1365-2486.2009.01849.x
   FAOSTAT Database on Agriculture, FAOSTAT DAT AGR
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   IIASA/FAO, 2012, "Global Agro-ecological Zones (GAEZ v3.0).", P196
   Jones C.A., 1986, CERES-Maize : a simulation model of maize growth and development
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Leakey ADB, 2006, PLANT PHYSIOL, V140, P779, DOI 10.1104/pp.105.073957
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Lobell DB, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/3/034007
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Meza FJ, 2009, CLIMATIC CHANGE, V94, P143, DOI [10.1007/s10584-009-9544-z, 10.1007/s10584-009-9544-Z]
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   MONTEITH JL, 1977, PHILOS T R SOC B, V281, P277, DOI 10.1098/rstb.1977.0140
   Oleson K.W. Coauthors., 2010, Technical description of version 4.0 of the Community Land Model (CLM), DOI DOI 10.1175/1520-0442(1998)011<LESSTHAN>1307:TLSC0T<GREATERTHAN>2.0.CO;2
   Osborne TM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024001
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Potter P, 2010, EARTH INTERACT, V14, DOI 10.1175/2009EI288.1
   Ritchie J.T., 1985, ARS WHEAT YIELD PROJ, P159
   Romero CC, 2012, ENVIRON MODELL SOFTW, V35, P163, DOI 10.1016/j.envsoft.2012.02.018
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Ruane AC, 2013, GLOBAL ENVIRON CHANG, V23, P338, DOI 10.1016/j.gloenvcha.2012.09.001
   SAXTON KE, 1986, SOIL SCI SOC AM J, V50, P1031, DOI 10.2136/sssaj1986.03615995005000040039x
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Sheffield J, 2006, J CLIMATE, V19, P3088, DOI 10.1175/JCLI3790.1
   Sultan B, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014040
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   Waha K, 2013, GLOBAL PLANET CHANGE, V106, P1, DOI 10.1016/j.gloplacha.2013.02.009
   Wang GL, 2015, CLIM DYN UNPUB
   Wilby RL, 1998, WATER RESOUR RES, V34, P2995, DOI 10.1029/98WR02577
   You LZ, 2014, AGR SYST, V127, P53, DOI 10.1016/j.agsy.2014.01.002
   Yu M, 2014, CLIMATIC CHANGE, V127, P257, DOI 10.1007/s10584-014-1249-2
NR 42
TC 44
Z9 50
U1 1
U2 61
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD NOV
PY 2015
VL 133
IS 2
BP 321
EP 334
DI 10.1007/s10584-015-1462-7
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CU4FX
UT WOS:000363483800014
DA 2025-01-10
ER

PT J
AU Henry, LP
   Watson, RHB
   Blackman, BK
AF Henry, Lucas P.
   Watson, Ray H. B.
   Blackman, Benjamin K.
TI TRANSITIONS IN PHOTOPERIODIC FLOWERING ARE COMMON AND INVOLVE FEW LOCI
   IN WILD SUNFLOWERS (<i>HELIANTHUS</i>; ASTERACEAE)
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE climatic adaptation; crop-wild relatives; FLOWERING LOCUS T; flowering
   time; Helianthus; photoperiod; sunflower
ID GENETIC-ANALYSIS; POSTDOMESTICATION SPREAD; FLORAL INITIATION;
   ADAPTATION; DOMESTICATION; EVOLUTION; CONSTANS; TRAITS; TIME; EXPRESSION
AB Premise of the study: Evolutionary changes in how flowering time responds to photoperiod cues have been instrumental in expanding the geographic range of agricultural production for many crop species. Locally adaptive natural variation in photoperiod response present in wild relatives of crop plants could be leveraged to further improve the present and future climatic ranges of cultivation or to increase region-specific yields. Previous work has demonstrated ample variability in photoperiod response among wild populations of the common sunflower, Helianthus annuus. Here, we characterize patterns of photoperiod response variation throughout the genus and examine the genetic architecture of intraspecific divergence.
   Methods: The requirement of short day lengths for floral induction was characterized for a phylogenetically dispersed sample of Helianthus species. In addition, flowering time was assessed under short days and long days for a population of F-3 individuals derived from crosses between day-neutral and short-day, wild H. annuus parents.
   Key results: An obligate requirement for short-day induced flowering has evolved repeatedly in Helianthus, and this character was correlated with geographic ranges restricted to the southern United States. Parental flowering times under long days were recovered in high proportion in the F-3 generation.
   Conclusions: Together, these findings (1) reveal that substantial variation in the nature of flowering time responses to photoperiod cues has arisen during the evolution of wild sunflowers and (2) suggest these transitions may be largely characterized by simple genetic architectures. Thus, introgression of wild alleles may be a tractable means of genetically tailoring sunflower cultivars for climate-specific production.
C1 [Henry, Lucas P.; Watson, Ray H. B.; Blackman, Benjamin K.] Univ Virginia, Dept Biol, Charlottesville, VA 22904 USA.
C3 University of Virginia
RP Blackman, BK (corresponding author), Univ Virginia, Dept Biol, POB 400328, Charlottesville, VA 22904 USA.
EM bkb2f@virginia.edu
OI Watson, Ray/0000-0003-0697-6912; Blackman, Benjamin/0000-0003-4936-6153;
   Henry, Lucas/0000-0002-3130-4643
FU Jefferson Scholars Foundation; University of Virginia; National Science
   Foundation Plant Genome Research Program [IOS-1238040]; Direct For
   Biological Sciences; Division Of Integrative Organismal Systems
   [1238040] Funding Source: National Science Foundation
FX The authors thank D. Rasmussen, E. Brown, R. Chen, K. Abbott, E.
   Patterson, S. Andersen, C. Kitrinos, I. Jameel, W. Poehlman, B.
   Campbell, K. Aracena, J. Yu, A. Mensah, M. Slomka, A. Greenlee, and W.
   Crannage for assistance with plant husbandry; R. Timme for sharing her
   phylogenetic tree files for Helianthus; S. Smith, M. Claibourn, and C.
   Ford for expert guidance with data analyses; and members of the Blackman
   laboratory group for their comments on the manuscript. This work was
   supported by a graduate fellowship from the Jefferson Scholars
   Foundation to R. H. B. W. as well as funds from the University of
   Virginia and the National Science Foundation Plant Genome Research
   Program (IOS-1238040) to B.K.B.
CR Al-Chaarani GR, 2004, THEOR APPL GENET, V109, P1353, DOI 10.1007/s00122-004-1770-1
   Allard H.A., 1940, USDA TECHNICAL B, V727, P1
   Amasino R, 2010, PLANT J, V61, P1001, DOI 10.1111/j.1365-313X.2010.04148.x
   Andolfatto P, 2011, GENOME RES, V21, P610, DOI 10.1101/gr.115402.110
   Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   Ben-Naim O, 2006, PLANT J, V46, P462, DOI 10.1111/j.1365-313X.2006.02706.x
   Bert PF, 2003, THEOR APPL GENET, V107, P181, DOI 10.1007/s00122-003-1237-9
   Blackman BK, 2013, J EXP BOT, V64, P421, DOI 10.1093/jxb/ers359
   Blackman BK, 2011, MOL ECOL, V20, P3503, DOI 10.1111/j.1365-294X.2011.05166.x
   Blackman BK, 2011, GENETICS, V187, P271, DOI 10.1534/genetics.110.121327
   Blackman BK, 2010, CURR BIOL, V20, P629, DOI 10.1016/j.cub.2010.01.059
   Bock DG, 2014, NEW PHYTOL, V201, P1021, DOI 10.1111/nph.12560
   Bollback JP, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-88
   Bowers JE, 2012, G3-GENES GENOM GENET, V2, P721, DOI 10.1534/g3.112.002659
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Burke JM, 2002, GENETICS, V161, P1257
   Cadic E, 2013, THEOR APPL GENET, V126, P1337, DOI 10.1007/s00122-013-2056-2
   Castillejo C, 2008, CURR BIOL, V18, P1338, DOI 10.1016/j.cub.2008.07.075
   Castle W E, 1921, Science, V54, P223, DOI 10.1126/science.54.1393.223
   Christov M., 1990, Helia, V13, P55
   Dempewolf H, 2014, AGROECOL SUST FOOD, V38, P369, DOI 10.1080/21683565.2013.870629
   Dyer H. J. Et Al., 1959, Botanical Gazette, V121, P50, DOI 10.1086/336042
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Faure S, 2012, P NATL ACAD SCI USA, V109, P8328, DOI 10.1073/pnas.1120496109
   Fick G.N., 1997, ASA SCSA SSSA MONOGR, P395, DOI DOI 10.2134/AGR0NM0N-0GR35.C8
   Gonzalez J., 2011, RIA, Revista de Investigaciones Agropecuarias, V37, P275
   GOYNE PJ, 1987, AGRON J, V79, P704, DOI 10.2134/agronj1987.00021962007900040025x
   Gulya Thomas, 1997, Agronomy (Madison), V35, P263
   Hackbarth J., 1937, Zuchter, V9, P113, DOI 10.1007/BF01813042
   Hafner S, 2003, AGR ECOSYST ENVIRON, V97, P275, DOI 10.1016/S0167-8809(03)00019-7
   Hajjar R, 2007, EUPHYTICA, V156, P1, DOI 10.1007/s10681-007-9363-0
   HEISER C B JR, 1969, Memoirs of the Torrey Botanical Club, V22, P1
   Huang Wen-Yuan., 2009, Factors Contributing to the Recent Increase in U.S. Fertilizer Prices
   Huelsenbeck JP, 2003, SYST BIOL, V52, P641, DOI 10.1080/10635150390235467
   Hung HY, 2012, P NATL ACAD SCI USA, V109, pE1913, DOI 10.1073/pnas.1203189109
   Jang S, 2008, EMBO J, V27, P1277, DOI 10.1038/emboj.2008.68
   Jung C, 2009, TRENDS PLANT SCI, V14, P563, DOI 10.1016/j.tplants.2009.07.005
   Kane NC, 2011, BOTANY, V89, P429, DOI [10.1139/B11-032, 10.1139/b11-032]
   Kawakami T, 2011, MOL ECOL, V20, P2318, DOI 10.1111/j.1365-294X.2011.05105.x
   Kays S. J., 2007, Biology and chemistry of Jerusalem artichoke: Helianthus tuberosus L.
   Khoury CK, 2013, CROP SCI, V53, P1496, DOI 10.2135/cropsci2012.10.0585
   Koziol L, 2012, EVOLUTION, V66, P3803, DOI 10.1111/j.1558-5646.2012.01718.x
   Krieger U, 2010, NAT GENET, V42, P459, DOI 10.1038/ng.550
   Ladha JK, 2005, ADV AGRON, V87, P85, DOI 10.1016/S0065-2113(05)87003-8
   Laubinger S, 2006, DEVELOPMENT, V133, P3213, DOI 10.1242/dev.02481
   LECLERCQ P, 1969, ANN AMELIOR PLANT, V19, P99
   Leon AJ, 2000, CROP SCI, V40, P404, DOI 10.2135/cropsci2000.402404x
   Leon AJ, 2001, THEOR APPL GENET, V102, P497, DOI 10.1007/s001220051673
   Liu HT, 2008, SCIENCE, V322, P1535, DOI 10.1126/science.1163927
   Lynch Michael, 1998
   Mandel J, 2011, THEOR APPL GENET, V123, P693, DOI 10.1007/s00122-011-1619-3
   Mandel JR, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003378
   Mathieu J, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000148
   McCouch S, 2013, NATURE, V499, P23, DOI 10.1038/499023a
   Meng X, 2011, PLANT CELL, V23, P942, DOI 10.1105/tpc.110.081406
   MICHELMORE RW, 1991, P NATL ACAD SCI USA, V88, P9828, DOI 10.1073/pnas.88.21.9828
   Neff MM, 2002, TRENDS GENET, V18, P613, DOI 10.1016/S0168-9525(02)02820-2
   Neff MM, 1998, PLANT J, V14, P387, DOI 10.1046/j.1365-313X.1998.00124.x
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Pin PA, 2012, CURR BIOL, V22, P1095, DOI 10.1016/j.cub.2012.04.007
   Ploschuk EL, 1995, FIELD CROP RES, V44, P111, DOI 10.1016/0378-4290(95)00079-8
   PUTT E. D., 1997, AGRONOMY MONOGRAPH, V1-19
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Renaut S, 2014, MOL ECOL, V23, P311, DOI 10.1111/mec.12600
   Revell LJ, 2012, METHODS ECOL EVOL, V3, P217, DOI 10.1111/j.2041-210X.2011.00169.x
   RIESEBERG LH, 1990, P NATL ACAD SCI USA, V87, P593, DOI 10.1073/pnas.87.2.593
   Rieseberg LH, 2003, SCIENCE, V301, P1211, DOI 10.1126/science.1086949
   Sanderson MJ, 2002, MOL BIOL EVOL, V19, P101, DOI 10.1093/oxfordjournals.molbev.a003974
   SCHILLING EE, 1981, TAXON, V30, P393, DOI 10.2307/1220139
   SCHNEITER AA, 1981, CROP SCI, V21, P901, DOI 10.2135/cropsci1981.0011183X002100060024x
   Seiler G.J., 1997, SUNFLOWER TECHNOLOGY, P67, DOI [DOI 10.2134/AGRONMONOGR35.C3, 10.2134/agronmonogr35.c3]
   SEILER GJ, 1992, FIELD CROP RES, V30, P195, DOI 10.1016/0378-4290(92)90002-Q
   Sokal R. R., 1995, Biometry: The Principles of Statistics in Biological Research
   Song YH, 2013, TRENDS PLANT SCI, V18, P575, DOI 10.1016/j.tplants.2013.05.003
   Takahashi Y, 2009, P NATL ACAD SCI USA, V106, P4555, DOI 10.1073/pnas.0812092106
   Tester M, 2010, SCIENCE, V327, P818, DOI 10.1126/science.1183700
   Thomas B., 1996, PHOTOPERIODISM PLANT, V2nd ed., P118
   Timme RE, 2007, AM J BOT, V94, P1837, DOI 10.3732/ajb.94.11.1837
   Turner A, 2005, SCIENCE, V310, P1031, DOI 10.1126/science.1117619
   Weller JL, 2012, P NATL ACAD SCI USA, V109, P21158, DOI 10.1073/pnas.1207943110
   Wenkel S, 2006, PLANT CELL, V18, P2971, DOI 10.1105/tpc.106.043299
   WHELAN EDP, 1981, CROP SCI, V21, P855, DOI 10.2135/cropsci1981.0011183X002100060014x
   Whitney KD, 2006, AM NAT, V167, P794, DOI 10.1086/504606
   Wills DM, 2007, GENETICS, V176, P2589, DOI 10.1534/genetics.107.075333
   Yañez P, 2005, HORTTECHNOLOGY, V15, P386, DOI 10.21273/HORTTECH.15.2.0386
   Yang Q, 2013, P NATL ACAD SCI USA, V110, P16969, DOI 10.1073/pnas.1310949110
   Zakhrabekova S, 2012, P NATL ACAD SCI USA, V109, P4326, DOI 10.1073/pnas.1113009109
   Zhang QZ, 2008, P NATL ACAD SCI USA, V105, P21028, DOI 10.1073/pnas.0810585105
   Zuo ZC, 2011, CURR BIOL, V21, P841, DOI 10.1016/j.cub.2011.03.048
NR 89
TC 9
Z9 12
U1 1
U2 32
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9122
EI 1537-2197
J9 AM J BOT
JI Am. J. Bot.
PD OCT
PY 2014
VL 101
IS 10
BP 1748
EP 1758
DI 10.3732/ajb.1400097
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA AS1BD
UT WOS:000344010400015
PM 25326617
OA Bronze
DA 2025-01-10
ER

PT J
AU Harlan, SL
   Declet-Barreto, JH
   Stefanov, WL
   Petitti, DB
AF Harlan, Sharon L.
   Declet-Barreto, Juan H.
   Stefanov, William L.
   Petitti, Diana B.
TI Neighborhood Effects on Heat Deaths: Social and Environmental Predictors
   of Vulnerability in Maricopa County, Arizona
SO ENVIRONMENTAL HEALTH PERSPECTIVES
LA English
DT Article
DE climate; GIS; heat mortality; neighborhoods; remote sensing;
   vulnerability
ID CLIMATE-CHANGE; HEALTH; MORTALITY; RISK; TEMPERATURE; PHOENIX; INDEX
AB BACKGROUND: Most heat-related deaths occur in cities, and future trends in global climate change and urbanization may amplify this trend. Understanding how neighborhoods affect heat mortality fills an important gap between studies of individual susceptibility to heat and broadly comparative studies of temperature-mortality relationships in cities.
   OBJECTIVES: We estimated neighborhood effects of population characteristics and built and natural environments on deaths due to heat exposure in Maricopa County, Arizona (2000-2008).
   METHODS: We used 2000 U.S. Census data and remotely sensed vegetation and land surface temperature to construct indicators of neighborhood vulnerability and a geographic information system to map vulnerability and residential addresses of persons who died from heat exposure in 2,081 census block groups. Binary logistic regression and spatial analysis were used to associate deaths with neighborhoods.
   RESULTS: Neighborhood scores on three factors-socioeconomic vulnerability, elderly/isolation, and unvegetated area-varied widely throughout the study area. The preferred model (based on fit and parsimony) for predicting the odds of one or more deaths from heat exposure within a census block group included the first two factors and surface temperature in residential neighborhoods, holding population size constant. Spatial analysis identified clusters of neighborhoods with the highest heat vulnerability scores. A large proportion of deaths occurred among people, including homeless persons, who lived in the inner cores of the largest cities and along an industrial corridor.
   CONCLUSIONS: Place-based indicators of vulnerability complement analyses of person-level heat risk factors. Surface temperature might be used in Maricopa County to identify the most heat-vulnerable neighborhoods, but more attention to the socioecological complexities of climate adaptation is needed.
C1 [Harlan, Sharon L.; Declet-Barreto, Juan H.] Arizona State Univ, Sch Human Evolut & Social Change, Tempe, AZ 85284 USA.
   [Stefanov, William L.] NASA, Lyndon B Johnson Space Ctr, Jacobs Engn Sci & Contract Grp, Houston, TX 77058 USA.
   [Petitti, Diana B.] Arizona State Univ, Dept Biomed Informat, Scottsdale, AZ USA.
C3 Arizona State University; Arizona State University-Tempe; National
   Aeronautics & Space Administration (NASA); NASA Johnson Space Center;
   Arizona State University
RP Harlan, SL (corresponding author), Arizona State Univ, Sch Human Evolut & Social Change, Tempe, AZ 85284 USA.
EM sharon.harlan@asu.edu
RI Declet-Barreto, Juan/AAI-4813-2021
OI Declet-Barreto, Juan/0000-0001-7101-394X
FU National Science Foundation [GEO-0816168]; Directorate For Geosciences
   [0816168] Funding Source: National Science Foundation
FX This research was supported by the National Science Foundation (grant
   GEO-0816168).
CR Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], 2007, INT CLASS DIS
   [Anonymous], GEOSPATIAL ANAL
   [Anonymous], 2007, STATE WORLD 2007 OUR
   [Anonymous], SYNTH REP CONTR WORK
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Balbus JM, 2009, J OCCUP ENVIRON MED, V51, P33, DOI 10.1097/JOM.0b013e318193e12e
   BROOKSGUNN J, 1993, AM J SOCIOL, V99, P353, DOI 10.1086/230268
   Buyantuyev A, 2010, LANDSCAPE ECOL, V25, P17, DOI 10.1007/s10980-009-9402-4
   Cromley E.K., 2002, GIS and Public Health
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Debbink MP, 2011, AM J PUBLIC HEALTH, V101, P1714, DOI 10.2105/AJPH.2011.300152
   Gober P, 2010, CURR OPIN ENV SUST, V2, P144, DOI 10.1016/j.cosust.2010.06.006
   Grineski S, 2007, SOC SCI QUART, V88, P535, DOI 10.1111/j.1540-6237.2007.00470.x
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Heisler G.M., 2010, URBAN ECOSYSTEM ECOL, P29, DOI [DOI 10.2134/AGRONMONOGR55.C2, 10.2134/agronmonogr55.c2]
   HOSMER DW, 1991, AM J PUBLIC HEALTH, V81, P1630, DOI 10.2105/AJPH.81.12.1630
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Janssen NAH, 2002, ENVIRON HEALTH PERSP, V110, P43, DOI 10.1289/ehp.0211043
   Jenerette GD, 2007, LANDSCAPE ECOL, V22, P353, DOI 10.1007/s10980-006-9032-z
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   Johnson DP, 2009, INT J HEALTH GEOGR, V8, DOI 10.1186/1476-072X-8-57
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Johnson DP, 2009, APPL GEOGR, V29, P419, DOI 10.1016/j.apgeog.2008.11.004
   Kalkstein AJ, 2004, DEV EVAPORATIVE COOL
   KILBOURNE EM, 1982, JAMA-J AM MED ASSOC, V247, P3332, DOI 10.1001/jama.247.24.3332
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   KOVATS RS, 2005, INTEGRATION PUBLIC H
   Lochner KA, 2003, SOC SCI MED, V56, P1797, DOI 10.1016/S0277-9536(02)00177-6
   Luber G. E., 2006, Morbidity and Mortality Weekly Report, V55, P796
   MCDPH (Maricopa County Department of Public Health), 2011, HEAT ASS DEATHS MAR
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael AJ, 2008, INT J EPIDEMIOL, V37, P1121, DOI 10.1093/ije/dyn086
   Mujahid MS, 2008, AM J EPIDEMIOL, V167, P1349, DOI 10.1093/aje/kwn047
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   Pasqualetti M, 2007, WATER COSTS ELECT AR
   Pickett KE, 2001, J EPIDEMIOL COMMUN H, V55, P111, DOI 10.1136/jech.55.2.111
   Raftery AE, 1995, SOCIOL METHODOL, V25, P111, DOI 10.2307/271063
   Reid CE, 2012, ENVIRON HEALTH PERSP, V120, P715, DOI 10.1289/ehp.1103766
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Roux AVD, 2001, AM J PUBLIC HEALTH, V91, P1783, DOI 10.2105/AJPH.91.11.1783
   Ruddell D.M., 2010, GEOSPATIAL CONTRIBUT
   Sampson RJ, 2002, ANNU REV SOCIOL, V28, P443, DOI 10.1146/annurev.soc.28.110601.141114
   Sampson RJ, 2009, ANN AM ACAD POLIT SS, V621, P260, DOI 10.1177/0002716208324803
   Sanchez C., 2011, THESIS ARIZONA STATE
   Sivak M, 2009, ENERG POLICY, V37, P1382, DOI 10.1016/j.enpol.2008.11.031
   Smoyer KE, 1998, SOC SCI MED, V47, P1809, DOI 10.1016/S0277-9536(98)00237-8
   TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0
   U.S. Census, 2002, CENS 2000 BLOCK MAPS
   Wilson William J., 1987, The truly disadvantaged: The inner city, the underclass, and public policy
   Yip FY, 2008, INT J BIOMETEOROL, V52, P765, DOI 10.1007/s00484-008-0169-0
   Zhang K, 2011, ENVIRON RES, V111, P1046, DOI 10.1016/j.envres.2011.08.012
NR 52
TC 319
Z9 363
U1 13
U2 118
PU US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
PI RES TRIANGLE PK
PA NATL INST HEALTH, NATL INST ENVIRONMENTAL HEALTH SCIENCES, PO BOX 12233,
   RES TRIANGLE PK, NC 27709-2233 USA
SN 0091-6765
EI 1552-9924
J9 ENVIRON HEALTH PERSP
JI Environ. Health Perspect.
PD FEB
PY 2013
VL 121
IS 2
BP 197
EP 204
DI 10.1289/ehp.1104625
PG 8
WC Environmental Sciences; Public, Environmental & Occupational Health;
   Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Toxicology
GA 208SX
UT WOS:000323700900021
PM 23164621
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Qin, GS
   Yang, CY
   Tan, ZZ
   Huang, J
   Li, H
   Liang, XW
   Yang, BZ
AF Qin, Guangsheng
   Yang, Chunyan
   Tan, Zhengzhun
   Huang, Jian
   Li, Hui
   Liang, Xianwei
   Yang, Bingzhuang
TI Preliminary Results on the Growth Performance of F1 Mediterranean
   Buffalo Offspring Crossed In China
SO BUFFALO BULLETIN
LA English
DT Article; Proceedings Paper
CT 10th World Buffalo Congress / 7th Asian Buffalo Congress
CY MAY 06-08, 2013
CL Phuket, THAILAND
SP Int Buffalo Informat Ctr
DE Mediterranean buffalo F1; growth performance; blood biochemical
   parameters; physiological parameters
AB This study was carried out to determine the climate adaptation and growth performance for Mediterranean buffalo F1 in China, especially in Guangxi region. 53 Mediterranean crossbred buffalo of early stage (0-12 months) were selected and the growth performance such as body weight, body length, body height, chest circumference and the abdominal circumference, as well as the physiological and biochemical parameters were measured monthly. The results showed that the rectal temperature, respiratory frequency, heart rate and blood biochemical parameters were no significant difference between Mediterranean and Mediterranean F1 (Mediterranean buffalo frozen semen crossbred with Murrah, Nili-Ravi and local buffalo) (P> 0.05). There are also no significant differenence(P> 0.05) among the rectal temperature, respiratory rate, heart rate and blood biochemical parameters and birth body weight for Mediterranean buffalo F1, Murrah and Nili buffalo which introduced into China 70 years ago. The growth rate of one month-old Murrah F1(crossbred with local buffalo) and Nili-Ravi F1(crossbred with local buffalo) were higher than Mediterranean F1 (crossbred with local buffalo), but the difference were not significant (P> 0.05). In addition, the growth rate between Mediterranean * Murrah F1 and Mediterranean* Nili-Ravi F1 during 0-12 months of age were basically the same. The body height, body length, chest circumference and abdominal circumference had the same trends for 1-12 months of Mediterranean * Murrah F1, Mediterranean* Nili-Ravi F1 and Mediterranean* Guangxi Local buffalo F1. Therefore, the Mediterranean buffalo introduced into China, were not only able to fully adapt to the South of China, especially Guangxi environmental climatic conditions, but also showed good growth performance.
C1 [Qin, Guangsheng; Yang, Chunyan; Tan, Zhengzhun; Huang, Jian; Li, Hui; Liang, Xianwei; Yang, Bingzhuang] Chinese Acad Agr Sci, Buffalo Res Inst, Minist Agr & Guangxi, Key Lab Buffalo Genet Breeding & Reprod Technol, Nanning 530001, Peoples R China.
C3 Chinese Academy of Agricultural Sciences
RP Yang, BZ (corresponding author), Chinese Acad Agr Sci, Buffalo Res Inst, Minist Agr & Guangxi, Key Lab Buffalo Genet Breeding & Reprod Technol, 24-1 Yongwu Rd, Nanning 530001, Peoples R China.
EM yangbz@163.com
RI Wang, Xin/F-8965-2011
CR BORGHESE A, 2006, BUFFALO PRODUCTION R, P1
   Li D. F., 2006, 5 AS BUFF C, P175
   Liang K., 2007, GUANGXI J ANIMAL HUS, V23, P106
   Lin Y., 1981, HUBEI J ANIMAL HUSBA, V4, P8
   Mao Z., 1974, ANIMAL HUSBANDRY VET, V3, P30
   Qin G. S, 2010, CHINA CATTLE SCI, V26, P33
   Yang B. Z., 2005, CHINA HERBIVORES, P23
   Zhang C. X., 2000, CHINA BUFFALO SCI
NR 8
TC 0
Z9 0
U1 0
U2 1
PU INT BUFFALO INFORMATION CTR
PI BANGKOK
PA KASETSART UNIV LIB, PO BOX 1084, BANGKOK, 10903, THAILAND
SN 0125-6726
J9 BUFFALO BULL
JI Buffalo Bull.
PY 2013
VL 32
SI 2
BP 750
EP 754
PG 5
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA AB7ON
UT WOS:000331980300106
DA 2025-01-10
ER

PT J
AU McRae, BH
   Hall, SA
   Beier, P
   Theobald, DM
AF McRae, Brad H.
   Hall, Sonia A.
   Beier, Paul
   Theobald, David M.
TI Where to Restore Ecological Connectivity? Detecting Barriers and
   Quantifying Restoration Benefits
SO PLOS ONE
LA English
DT Article
ID LANDSCAPE CONNECTIVITY; GENE FLOW; CONSERVATION; BIODIVERSITY;
   MANAGEMENT; PATTERNS; MATTERS; MODEL
AB Landscape connectivity is crucial for many ecological processes, including dispersal, gene flow, demographic rescue, and movement in response to climate change. As a result, governmental and non-governmental organizations are focusing efforts to map and conserve areas that facilitate movement to maintain population connectivity and promote climate adaptation. In contrast, little focus has been placed on identifying barriers-landscape features which impede movement between ecologically important areas-where restoration could most improve connectivity. Yet knowing where barriers most strongly reduce connectivity can complement traditional analyses aimed at mapping best movement routes. We introduce a novel method to detect important barriers and provide example applications. Our method uses GIS neighborhood analyses in conjunction with effective distance analyses to detect barriers that, if removed, would significantly improve connectivity. Applicable in least-cost, circuit-theoretic, and simulation modeling frameworks, the method detects both complete (impermeable) barriers and those that impede but do not completely block movement. Barrier mapping complements corridor mapping by broadening the range of connectivity conservation alternatives available to practitioners. The method can help practitioners move beyond maintaining currently important areas to restoring and enhancing connectivity through active barrier removal. It can inform decisions on trade-offs between restoration and protection; for example, purchasing an intact corridor may be substantially more costly than restoring a barrier that blocks an alternative corridor. And it extends the concept of centrality to barriers, highlighting areas that most diminish connectivity across broad networks. Identifying which modeled barriers have the greatest impact can also help prioritize error checking of land cover data and collection of field data to improve connectivity maps. Barrier detection provides a different way to view the landscape, broadening thinking about connectivity and fragmentation while increasing conservation options.
C1 [McRae, Brad H.] Nature Conservancy, N Amer Reg, Seattle, WA USA.
   [Hall, Sonia A.] Nature Conservancy, Washington Chapter, Wenatchee, WA USA.
   [Beier, Paul] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA.
   [Beier, Paul] No Arizona Univ, Merriam Powell Ctr Environm Res, Flagstaff, AZ 86011 USA.
   [Theobald, David M.] Natl Pk Serv, Inventory & Monitoring Div, Ft Collins, CO USA.
C3 Nature Conservancy; Northern Arizona University; Northern Arizona
   University; United States Department of the Interior
RP McRae, BH (corresponding author), Nature Conservancy, N Amer Reg, Seattle, WA USA.
EM bmcrae@tnc.org
RI Hall, Sonia/HLH-3458-2023; Beier, Paul/K-9294-2013
OI Beier, Paul/0000-0002-4297-4343; Hall, Sonia A/0000-0002-3442-814X
FU North Pacific Landscape Conservation Cooperative [13170BG105]; Great
   Northern Landscape Conservation Cooperative [60181AG501]
FX This project was funded by the North Pacific Landscape Conservation
   Cooperative (www.fws.gov/nplcc; grant #13170BG105) and the Great
   Northern Landscape Conservation Cooperative (greatnorthernlcc.org; grant
   #60181AG501). The funders had no role in study design, data collection
   and analysis, decision to publish, or preparation of the manuscript.
CR Adriaensen F, 2003, LANDSCAPE URBAN PLAN, V64, P233, DOI 10.1016/S0169-2046(02)00242-6
   Arponen A, 2012, CONSERV BIOL, V26, P294, DOI 10.1111/j.1523-1739.2011.01814.x
   Baldwin Robert F., 2012, Ecological Restoration, V30, P274, DOI 10.3368/er.30.4.274
   Baldwin RF, 2010, LANDSCAPE-SCALE CONSERVATION PLANNING, P349, DOI 10.1007/978-90-481-9575-6_16
   Ball I.R., 2000, MARXAN (V1.8.2): Marine Reserve Design Using Spatially Explicit Annealing
   Beier P., 2008, Arizona Missing Linkages: Tucson - Tortolita - Santa Catalina Mountains Linkage Design
   Beier P, 2008, CONSERV BIOL, V22, P836, DOI 10.1111/j.1523-1739.2008.00942.x
   Beier P, 2011, CONSERV BIOL, V25, P879, DOI 10.1111/j.1523-1739.2011.01716.x
   Beier P, 2009, ECOL APPL, V19, P2067, DOI 10.1890/08-1898.1
   Blaauw D., 2005, ELECT DESIGN AUTOMAT
   Breckheimer I, 2012, CONNECT LANDSCAPE CO
   Breckheimer I., 2012, Mapping habitat quality in conservation's neglected geography
   Briers RA, 2002, BIOL CONSERV, V103, P77, DOI 10.1016/S0006-3207(01)00123-9
   Bunn AG, 2000, J ENVIRON MANAGE, V59, P265, DOI 10.1006/jema.2000.0373
   Cabeza M, 2003, ECOL LETT, V6, P665, DOI 10.1046/j.1461-0248.2003.00475.x
   Carroll C., 2010, CONNECTIVITY ANAL TO
   Carroll C, 2012, CONSERV BIOL, V26, P78, DOI 10.1111/j.1523-1739.2011.01753.x
   Chardon JP, 2003, LANDSCAPE ECOL, V18, P561, DOI 10.1023/A:1026062530600
   Crooks K. R., 2006, CONNECTIVITY CONSERV
   Cushman SA, 2006, AM NAT, V168, P486, DOI 10.1086/506976
   Damschen EI, 2006, SCIENCE, V313, P1284, DOI 10.1126/science.1130098
   Doyle P.G., 1984, Random Walks and Electric Networks
   Estrada E, 2008, ECOL APPL, V18, P1810, DOI 10.1890/07-1419.1
   Graham CH, 2001, CONSERV BIOL, V15, P1789, DOI 10.1046/j.1523-1739.2001.00070.x
   Grimm V., 2005, INDIVIDUAL BASED MOD
   Hall SA, 2012, FUTURE WORK CONCLUSI
   Hargrove WW, 2005, LANDSCAPE ECOL, V20, P361, DOI 10.1007/s10980-004-3162-y
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   KAREIVA P, 1995, NATURE, V373, P299, DOI 10.1038/373299a0
   KNAAPEN JP, 1992, LANDSCAPE URBAN PLAN, V23, P1, DOI 10.1016/0169-2046(92)90060-D
   Landguth EL, 2012, ECOGRAPHY, V35, P9, DOI 10.1111/j.1600-0587.2011.07149.x
   Lethbridge MR, 2010, ENVIRON MODELL SOFTW, V25, P737, DOI 10.1016/j.envsoft.2009.11.013
   Majka D., 2007, CorridorDesigner: ArcGIS tools for designing and evaluating corridors
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   McBride MF, 2010, ECOL MODEL, V221, P2243, DOI 10.1016/j.ecolmodel.2010.04.012
   McRae B.H., 2012, Barrier Mapper Connectivity Analysis Software
   McRae B. H., 2009, CIRCUITSCAPE CONNECT
   McRae BH., 2011, LINKAGE MAPPER CONNE
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   McRae BH, 2006, EVOLUTION, V60, P1551, DOI 10.1111/j.0014-3820.2006.tb00500.x
   Moilanen A, 2002, ECOLOGY, V83, P1131, DOI 10.2307/3071919
   Moilanen A, 2005, P ROY SOC B-BIOL SCI, V272, P1885, DOI 10.1098/rspb.2005.3164
   Moilanen A., 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, P28
   Moilanen A, 2007, BIOL CONSERV, V134, P571, DOI 10.1016/j.biocon.2006.09.008
   Moilanen A, 2011, CONSERV LETT, V4, P383, DOI 10.1111/j.1755-263X.2011.00190.x
   Pinto N, 2009, LANDSCAPE ECOL, V24, P253, DOI 10.1007/s10980-008-9303-y
   Polasky S, 2008, BIOL CONSERV, V141, P1505, DOI 10.1016/j.biocon.2008.03.022
   Possingham H.P., 2006, Principles of conservation biology, P509, DOI DOI 10.1023/A:1006601319528
   Possingham Hugh, 2000, P291, DOI 10.1007/0-387-22648-6_17
   Ricketts TH, 2001, AM NAT, V158, P87, DOI 10.1086/320863
   Rosenberg DK, 1997, BIOSCIENCE, V47, P677, DOI 10.2307/1313208
   *S COAST WILDL, 2008, S COAST MISS LINK WI
   Schumaker N.H., 2011, HexSim
   Schwartz MK, 2009, ECOLOGY, V90, P3222, DOI 10.1890/08-1287.1
   Schwartz MW, 1999, ANNU REV ECOL SYST, V30, P83, DOI 10.1146/annurev.ecolsys.30.1.83
   Singleton PH, 2002, US FOR SERV R P PNW, P1
   Spear SF, 2010, MOL ECOL, V19, P3576, DOI 10.1111/j.1365-294X.2010.04657.x
   Spencer W. D., 2010, California Essential Habitat Connectivity Project: A Strategy for Conserving a Connected California
   Stinson D.W., 2004, Washington State Recovery Plan for the Greater Sage-Grouse
   TAYLOR PD, 1993, OIKOS, V68, P571, DOI 10.2307/3544927
   Theobald DM, 2012, CONSERV LETT, V5, P123, DOI 10.1111/j.1755-263X.2011.00218.x
   Thomson JR, 2009, ECOL APPL, V19, P817, DOI 10.1890/08-0915.1
   Tischendorf L, 2000, LANDSCAPE ECOL, V15, P633, DOI 10.1023/A:1008177324187
   Tracey J.A., 2006, CONNECTIVITY CONSERV, P343
   Underwood EC, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001515
   Urban D, 2001, ECOLOGY, V82, P1205, DOI 10.1890/0012-9658(2001)082[1205:LCAGTP]2.0.CO;2
   Washington Wildlife Habitat Connectivity Working Group, 2010, WASH CONN LANDSC PRO
   Washington Wildlife Habitat Connectivity Working Group, 2012, WASH CONN LANDSC PRO
   Westphal MI, 2007, LANDSCAPE URBAN PLAN, V81, P56, DOI 10.1016/j.landurbplan.2006.10.015
   Wilson KA, 2007, PLOS BIOL, V5, P1850, DOI 10.1371/journal.pbio.0050223
   Zeller KA, 2012, LANDSCAPE ECOL, V27, P777, DOI 10.1007/s10980-012-9737-0
NR 71
TC 234
Z9 308
U1 10
U2 299
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 27
PY 2012
VL 7
IS 12
AR e52604
DI 10.1371/journal.pone.0052604
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 061EA
UT WOS:000312829100067
PM 23300719
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU McDaniels, T
   Mills, T
   Gregory, R
   Ohlson, D
AF McDaniels, Timothy
   Mills, Tamsin
   Gregory, Robin
   Ohlson, Dan
TI Using Expert Judgments to Explore Robust Alternatives for Forest
   Management under Climate Change
SO RISK ANALYSIS
LA English
DT Article
DE Climate adaptation; expert elicitation; forest land management; mountain
   pine beetle; robust decision making
ID COMPLEX TECHNICAL PROBLEMS; EDITORIAL ESSAY; CHANGE ADAPTATION;
   DECISION-MAKING; STRATEGIES; OVERCONFIDENCE; POLICY
AB We develop and apply a judgment-based approach to selecting robust alternatives, which are defined here as reasonably likely to achieve objectives, over a range of uncertainties. The intent is to develop an approach that is more practical in terms of data and analysis requirements than current approaches, informed by the literature and experience with probability elicitation and judgmental forecasting. The context involves decisions about managing forest lands that have been severely affected by mountain pine beetles in British Columbia, a pest infestation that is climate-exacerbated. A forest management decision was developed as the basis for the context, objectives, and alternatives for land management actions, to frame and condition the judgments. A wide range of climate forecasts, taken to represent the 1090% levels on cumulative distributions for future climate, were developed to condition judgments. An elicitation instrument was developed, tested, and revised to serve as the basis for eliciting probabilistic three-point distributions regarding the performance of selected alternatives, over a set of relevant objectives, in the short and long term. The elicitations were conducted in a workshop comprising 14 regional forest management specialists. We employed the concept of stochastic dominance to help identify robust alternatives. We used extensive sensitivity analysis to explore the patterns in the judgments, and also considered the preferred alternatives for each individual expert. The results show that two alternatives that are more flexible than the current policies are judged more likely to perform better than the current alternatives on average in terms of stochastic dominance. The results suggest judgmental approaches to robust decision making deserve greater attention and testing.
C1 [McDaniels, Timothy] Univ British Columbia, Sch Community & Reg Planning, Vancouver, BC V6T 1Z2, Canada.
   [Mills, Tamsin] City Vancouver, Climate Adaptat Planner, Vancouver, BC V6B 2S8, Canada.
   [Mills, Tamsin; Ohlson, Dan] Compass Resource Management Ltd, Vancouver, BC V6B 2S8, Canada.
   [Gregory, Robin] Decis Res, Galiano, BC V0N 1P0, Canada.
C3 University of British Columbia
RP McDaniels, T (corresponding author), Univ British Columbia, Sch Community & Reg Planning, 415-6333 Mem Rd, Vancouver, BC V6T 1Z2, Canada.
EM timmcd@exchange.ubc.ca
FU Center for Climate and Energy Decision Making in the Department of
   Engineering and Public Policy at Carnegie Mellon University; National
   Science Foundation [SES-0949170, 0725025]; Direct For Social, Behav &
   Economic Scie; Division Of Behavioral and Cognitive Sci [0949170]
   Funding Source: National Science Foundation; Divn Of Social and Economic
   Sciences; Direct For Social, Behav & Economic Scie [0949710, 0725025]
   Funding Source: National Science Foundation
FX This project was supported by the Center for Climate and Energy Decision
   Making located in the Department of Engineering and Public Policy at
   Carnegie Mellon University, through a cooperative agreement with the
   National Science Foundation (SES-0949170). The CEDM in turn supports
   researchers in the Institute for Resources, Environment, and
   Sustainability at the University of British Columbia. Robin Gregory was
   also supported by an award to Decision Research by the National Science
   Foundation (0725025). We thank Bruce Blackwell and Cindy Pearce for
   their contributions to the design of the project and helping to frame
   the judgment tasks in terms of the decision context and the
   alternatives. We thank two anonymous reviewers of the previous version,
   who provided insightful comments that helped guide us in improving the
   analysis and presentation. We thank the 14 forest management experts who
   provided their judgments, which serve as the basis of the analysis. We
   thank Robert Lempert and David Krantz for encouragement and helpful
   comments.
CR [Anonymous], 1986, Decision Analysis and Behavioral Research
   [Anonymous], 2006, HIGHL EXP JUDGM POL
   [Anonymous], ENVIRON SCI TECHNOL
   [Anonymous], 1990, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
   [Anonymous], 2021, CLIM CHANG 2021 SYNT
   [Anonymous], 2005, MILL EC ASS SER
   [Anonymous], 2001, PRINCIPLES FORECASTI
   Arvai JL, 2010, J RISK RES, V13, P845, DOI 10.1080/13669871003660767
   Ben-Haim Y., 2001, INFORM GAP DECISION
   Clemen R. T., 1996, Making Hard Decisions: An Introduction to Decision Analysis
   FORREX, WEBS LINK MOUNT PIN
   Groves D., 2008, Preparing for an Uncertain Future Climate in the Inland Empire: Identifying Robust Water Management Strategies
   HOWARD RA, 1989, MANAGE SCI, V35, P903, DOI 10.1287/mnsc.35.8.903
   *IPCC, IPCC SPEC REP EM SCE
   Keeney RalphL., 2009, Value-focused thinking: A path to creative decision making
   Keeney RL, 2005, OPER RES, V53, P1, DOI 10.1287/opre.1040.0158
   KEENEY RL, 1991, IEEE T ENG MANAGE, V38, P191, DOI 10.1109/17.83752
   Keeney RL, 2001, RISK ANAL, V21, P989, DOI 10.1111/0272-4332.216168
   KEENEY RL, 1989, IEEE T ENG MANAGE, V36, P83, DOI 10.1109/17.18821
   Kremsater L, 2011, FORREX ANN GEN M INT
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   Lempert RJ, 1996, CLIMATIC CHANGE, V33, P235, DOI 10.1007/BF00140248
   Lempert RJ, 2002, P NATL ACAD SCI USA, V99, P7309, DOI 10.1073/pnas.082081699
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Levin AT, 2003, J MONETARY ECON, V50, P945, DOI 10.1016/S0304-3932(03)00059-X
   MCDANIELS T.L., 2000, Environmental Science and Policy, V3, P299, DOI [10.1016/S1462-9011(00)00108-8, DOI 10.1016/S1462-9011(00)00108-8]
   McDaniels TL, 2004, ENVIRON SCI TECHNOL, V38, P1921, DOI 10.1021/es0264246
   MCDANIELS TL, 1995, OPER RES, V43, P415, DOI 10.1287/opre.43.3.415
   McNamee P., 2001, DECISION ANAL PROFES
   Mills T, 2010, STRUCTURED DECISION
   Morgan M.G., 2009, Best practice approaches for characterizing, communicating and incorporating scientific uncertainty in climate decision making
   Morgan MG, 1999, CLIMATIC CHANGE, V41, P271, DOI 10.1023/A:1005469411776
   Morgan MG, 2001, CLIMATIC CHANGE, V49, P279, DOI 10.1023/A:1010651300697
   Moss R.H., 2000, GUIDANCE PAPERS CROS, P33
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Ohlson DW, 2005, FOREST CHRON, V81, P97, DOI 10.5558/tfc81097-1
   Pacific Climate Impacts Consortium, WEB BAS TOOLS
   Regan HM, 2005, ECOL APPL, V15, P1471, DOI 10.1890/03-5419
   Rosenhead J., 2001, RATIONAL ANAL PROBLE, P181
   Soll JB, 2004, J EXP PSYCHOL LEARN, V30, P299, DOI 10.1037/0278-7393.30.2.299
   Speirs-Bridge A, 2010, RISK ANAL, V30, P512, DOI 10.1111/j.1539-6924.2009.01337.x
   SPETZLER CS, 1975, MANAGE SCI, V22, P340, DOI 10.1287/mnsc.22.3.340
   STEWART TR, 1994, J FORECASTING, V13, P579, DOI 10.1002/for.3980130703
   WRIGHT G, 1987, JUDGMENTAL FORECASTI
NR 46
TC 26
Z9 29
U1 0
U2 36
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
J9 RISK ANAL
JI Risk Anal.
PD DEC
PY 2012
VL 32
IS 12
BP 2098
EP 2112
DI 10.1111/j.1539-6924.2012.01822.x
PG 15
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA 056YC
UT WOS:000312526500010
PM 22563772
DA 2025-01-10
ER

PT J
AU Samara, R
   Monje, JC
   Zebitz, CPW
   Qubbaj, T
AF Samara, R.
   Monje, J. C.
   Zebitz, C. P. W.
   Qubbaj, T.
TI Comparative biology and life tables of Trichogramma aurosum on Cydia
   pomonella at constant temperatures
SO PHYTOPARASITICA
LA English
DT Article
DE Codling moth; Cumulative fertility; Development time; Egg parasitoids;
   Ephestia kuehniella; Intrinsic rate of increase; Life time fertility;
   Longevity; Sex ratio
ID CODLING MOTH; EPHESTIA-KUEHNIELLA; LEPIDOPTERA; HYMENOPTERA; FERTILITY;
   FECUNDITY; TORTRICIDAE; PESTS; HYM; LONGEVITY
AB The influence of constant temperatures on biological parameters of German strains of Trichogramma aurosum Sugonjaev & Sorokina (Hymenoptera: Trichogrammatidae) was evaluated in the laboratory on eggs of Cydia pomonella L. (Lepidoptera: Tortricidae). Development time and longevity of all strains were decreased as temperature increased. Development time of the strains differed significantly only when exposed to 15A degrees, 20A degrees, and 25A degrees C. Cumulative fertility and longevity differed significantly at 15A degrees and 20A degrees C. Realized fertility differed significantly at all constant temperatures. Emergence rates of all strains were less than 65% and were decreased even further as temperature increased. Female-biased sex ratio ranged from 65% to 100% at all constant temperatures. The low temperature threshold for T. aurosum was 10A degrees C and the mean number of degree-days at 15A degrees, 20A degrees, 25A degrees and 30A degrees C was 175, 183, 173 and 185, respectively. The Bavarian strain tolerated high temperatures and had the highest parasitization capability, while the Hessian strain had the lowest parasitization at all temperatures. Fertility life table analysis revealed a major effect of temperature on the population growth parameters. Net reproductive rate was highest at intermediate constant temperatures in all strains, with the highest rate recorded for the Bavarian strains at all constant temperatures. Mean cohort generation time, and population doubling time decreased as temperature increased. The daily intrinsic rate of increase and finite rate of increase were positively correlated with temperature. The relevance of our results is discussed in the context of climatic adaptation, intraspecific variability and biological control.
C1 [Samara, R.] Palestinian Tech Univ, Fac Sci Appl, Tulkarem, Palestinian Aut, Israel.
   [Monje, J. C.] State Museum Nat Hist, Stuttgart, Germany.
   [Zebitz, C. P. W.] Univ Hohenheim, Inst Phytomed, D-70593 Stuttgart, Germany.
   [Qubbaj, T.] Palestinian Natl Agr Res Ctr NARC, Jenin, Palestinian Aut, Jordan.
C3 University Hohenheim
RP Samara, R (corresponding author), Palestinian Tech Univ, Fac Sci Appl, Tulkarem, Palestinian Aut, Israel.
EM rana_samara@yahoo.com
RI Qubbaj, Tawfiq/KBQ-6451-2024; Monje, Juan Carlos/JVO-0490-2024; Zebitz,
   Claus/ABW-3991-2022
OI Qubbaj, Tawfiq/0000-0003-2258-1371; samara, rana/0000-0003-2537-7392
FU German Academic Exchange Service (DAAD) [A/00/19004]
FX The present research was supported by the German Academic Exchange
   Service (DAAD, A/00/19004). Our thanks are extended to all who helped in
   the field collection and to R. Siegel for maintaining the lab culture of
   E. kuehniella.
CR Alahmed A. M., 2003, Sultan Qaboos University Journal for Scientific Research - Agricultural Sciences, V8, P11
   [Anonymous], IRAQI J AGR SCI
   [Anonymous], TORTRICID PESTS THEI
   [Anonymous], BJULLETEN VSESOJUZNO
   [Anonymous], J EC ENTOMOLOGY
   [Anonymous], THESIS U HOHENHEIM S
   [Anonymous], TRICHOGRAMMA CORDUBE
   [Anonymous], C INRA
   [Anonymous], 1996, SAS Users Guide: Statistics
   [Anonymous], 1988, BOL SAN VEG PLAGAS
   [Anonymous], ZASHCHITA RASTENIIJ
   [Anonymous], THESIS U HOHENHEIM S
   [Anonymous], ANN ENTOMOLOGICAL SO
   Baitha Arun, 1998, Indian Journal of Entomology, V60, P250
   Bloem S, 1999, ANN ENTOMOL SOC AM, V92, P222, DOI 10.1093/aesa/92.2.222
   Blomefield TL, 1997, AFR ENTOMOL, V5, P319
   CERUTTI F, 1992, J APPL ENTOMOL, V114, P353, DOI 10.1111/j.1439-0418.1992.tb01139.x
   CONSOLI FL, 1995, J APPL ENTOMOL, V119, P415, DOI 10.1111/j.1439-0418.1995.tb01310.x
   CROZIER RH, 1977, ANNU REV ENTOMOL, V22, P263, DOI 10.1146/annurev.en.22.010177.001403
   Haile AT, 2002, J APPL ENTOMOL, V126, P287, DOI 10.1046/j.1439-0418.2002.00631.x
   Hansen LS, 2000, ENTOMOL EXP APPL, V96, P185, DOI 10.1023/A:1004069716921
   HASSAN SA, 1993, PESTIC SCI, V37, P387, DOI 10.1002/ps.2780370412
   HAWKINS BA, 1986, ANN ENTOMOL SOC AM, V79, P905, DOI 10.1093/aesa/79.6.905
   Jervis M. A., 1996, P63
   Kuhlmann U, 1999, BIOCONTROL SCI TECHN, V9, P335, DOI 10.1080/09583159929596
   Lu Q., 1992, Chinese Journal of Biological Control, V8, P16
   Maceda A, 2003, BRAZ ARCH BIOL TECHN, V46, P27, DOI 10.1590/S1516-89132003000100005
   MADSEN HF, 1970, ANNU REV ENTOMOL, V15, P295, DOI 10.1146/annurev.en.15.010170.001455
   Maia AHN, 2000, J ECON ENTOMOL, V93, P511, DOI 10.1603/0022-0493-93.2.511
   McDougall SJ, 1997, ENTOMOL EXP APPL, V83, P195, DOI 10.1023/A:1002903720301
   Mills N., 2000, California Agriculture, V54, P22, DOI 10.3733/ca.v054n06p22
   Mills NJ, 2000, ECOL ENTOMOL, V25, P315, DOI 10.1046/j.1365-2311.2000.00260.x
   NAGARKATTI S, 1978, ENTOMOPHAGA, V23, P129, DOI 10.1007/BF02371719
   PAK GA, 1982, ENTOMOL EXP APPL, V32, P68, DOI 10.1111/j.1570-7458.1982.tb03183.x
   PAK GA, 1985, ENTOMOL EXP APPL, V38, P3, DOI 10.1007/BF00163346
   Pinto JD, 2002, BIOL CONTROL, V23, P134, DOI 10.1006/bcon.2001.0995
   Pratissoli D, 2000, J APPL ENTOMOL, V124, P339, DOI 10.1046/j.1439-0418.2000.00477.x
   Samara R, 2008, J APPL ENTOMOL, V132, P230, DOI 10.1111/j.1439-0418.2007.01245.x
   Samara RY, 2008, BIOCONTROL SCI TECHN, V18, P75, DOI 10.1080/09583150701749789
   Schöller M, 2001, ENTOMOL EXP APPL, V98, P35, DOI 10.1023/A:1018700408113
   Smith SM, 1996, ANNU REV ENTOMOL, V41, P375, DOI 10.1146/annurev.en.41.010196.002111
   SMITH SM, 1986, ENTOMOL EXP APPL, V42, P249, DOI 10.1007/BF00629312
   Southwood T.R.E., 1978, Ecological methods, P1, DOI DOI 10.1007/978-94-009-1225-0_1
   STINNER RE, 1974, ENVIRON ENTOMOL, V3, P558, DOI 10.1093/ee/3.3.558
   Suverkropp BP, 2001, J APPL ENTOMOL, V125, P303, DOI 10.1046/j.1439-0418.2001.00546.x
   Unruh TR, 2001, BIOL CONTROL, V20, P48, DOI 10.1006/bcon.2000.0873
   Uzun S., 1992, Proceedings of the Second Turkish National Congress of Entomology, P403
   Wang S, 2001, POSTHARVEST BIOL TEC, V22, P29, DOI 10.1016/S0925-5214(00)00187-3
   YU DSK, 1984, ENVIRON ENTOMOL, V13, P1324, DOI 10.1093/ee/13.5.1324
NR 49
TC 7
Z9 10
U1 0
U2 19
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0334-2123
EI 1876-7184
J9 PHYTOPARASITICA
JI Phytoparasitica
PD APR
PY 2011
VL 39
IS 2
BP 109
EP 119
DI 10.1007/s12600-010-0142-4
PG 11
WC Agronomy; Plant Sciences; Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Entomology
GA 747AZ
UT WOS:000289294000002
DA 2025-01-10
ER

PT J
AU Gil-Ariza, DJ
   Amaya, I
   López-Aranda, JM
   Sánchez-Sevilla, JF
   Botella, MA
   Valpuesta, V
AF Jesus Gil-Ariza, David
   Amaya, Iraida
   Manuel Lopez-Aranda, Jose
   Federico Sanchez-Sevilla, Jose
   Angel Botella, Miguel
   Valpuesta, Victoriano
TI Impact of Plant Breeding on the Genetic Diversity of Cultivated
   Strawberry as Revealed by Expressed Sequence Tag-derived Simple Sequence
   Repeat Markers
SO JOURNAL OF THE AMERICAN SOCIETY FOR HORTICULTURAL SCIENCE
LA English
DT Article
DE Fragaria xananassa; EST; resources; population structure; AMOVA
ID FRAGARIA-X-ANANASSA; EST-SSR MARKERS; MICROSATELLITE MARKERS;
   POLYMORPHIC MICROSATELLITES; VARIETAL IDENTIFICATION;
   POPULATION-GENETICS; VESCA L.; MAP; CHILOENSIS; VIRGINIANA
AB Unlike other important crops analyzed so far for genetic diversity and population structure, the brief history and particularities of the genetics of the cultivated strawberry (Fragaria xananassa Duchesne) have limited its genetic characterization. The genomic composition and the pattern of inheritance have not been fully elucidated, although a number of studies have suggested a highly diploidized genome. In this study, the similarity relationships and structure of 92 selected strawberry cultivars with widely diverse origins have been established using simple sequence repeat (SSR) markers derived from expressed sequence tags (EST-SSR markers). Genetic analysis performed by the unweighted pair group method with arithmetic mean clustering revealed a distribution according to both date of cultivar release and breeding for a specific climatic adaptation. Additionally, a model-based clustering approach identified three populations among the strawberry cultivars with an overall F-ST value of 0.15 to 0.16. Both analyses support a limited differentiation of modern cultivars, most probably as a consequence of the methodology of strawberry breeding. Interestingly, the collection of strawberry cultivars here analyzed showed comparable genetic differentiation to that observed in natural populations of Fragaria chiloensis (L.) Mill., one of its wild ancestors. Our results suggest that breeding has produced a small but significant reduction on the genetic diversity of F. xananassa. The panel of 10 EST-SSRs described in this work provided an extremely low probability of confusion (less than 10(-11)), offering an efficient and accurate method for cultivar identification.
C1 [Jesus Gil-Ariza, David; Amaya, Iraida; Manuel Lopez-Aranda, Jose; Federico Sanchez-Sevilla, Jose] Inst Invest & Formac Agr & Pesquera IFAPA, Area Mejora & Biotecnol, Malaga 29140, Spain.
   [Angel Botella, Miguel; Valpuesta, Victoriano] Univ Malaga, Dep Biol Mol & Bioquim, E-29071 Malaga, Spain.
C3 Universidad de Malaga
RP Sánchez-Sevilla, JF (corresponding author), Inst Invest & Formac Agr & Pesquera IFAPA, Area Mejora & Biotecnol, Malaga 29140, Spain.
EM josef.sanchez@juntadeandalucia.es
RI Sánchez Sevilla, José/JCO-2684-2023; Sanchez Sevilla, Jose
   Federico/L-3279-2013; Amaya Saavedra, Iraida/C-3709-2016; Botella,
   Miguel Angel/B-5734-2012
OI Sanchez Sevilla, Jose Federico/0000-0002-6690-7196; Amaya Saavedra,
   Iraida/0000-0002-4612-8902; Botella, Miguel Angel/0000-0002-8867-1831
FU Instituto Nacional de Investigaciones Agrarias (INIA) [RF02-014,
   RF04-034, RTA2005-00023]; Spanish Ministry of Science and Technology
   [BIO2004-4885-C02-01]; Andalucia Regional Government (Junta de
   Andalucia); European Social Funds
FX Received for publication 5 Sept. 2008. Accepted for publication 7 Dec.
   2008. Strawberry germplasm collection at the Instituto de Investigacion
   y Formacion Agraria y Pesquera (IFAPA) Centro de Churriana-Malaga is
   supported by grants RF02-014 and RF04-034 from the Instituto Nacional de
   Investigaciones Agrarias (INIA). This research was supported by the
   Spanish Ministry of Science and Technology (grant BIO2004-4885-C02-01)
   and by INIA (RTA2005-00023). D.J. Gil-Ariza was supported by a
   fellowship from Andalucia Regional Government (Junta de Andalucia) and
   I. Amaya with a contract by INIA (partly funded by European Social
   Funds).
CR ANDERSON JA, 1993, GENOME, V36, P181, DOI 10.1139/g93-024
   [Anonymous], GENOME MAPPING MOL B
   [Anonymous], 1989, Cladistics
   Arnau G, 2003, EUPHYTICA, V129, P69, DOI 10.1023/A:1021509206584
   Ashley MV, 2003, THEOR APPL GENET, V107, P1201, DOI 10.1007/s00122-003-1370-5
   Bassil NV, 2006, MOL ECOL NOTES, V6, P473, DOI 10.1111/j.1471-8286.2006.01278.x
   Bassil NV, 2006, MOL ECOL NOTES, V6, P806, DOI 10.1111/j.1471-8286.2006.01351.x
   Bringhurst R. S., 1984, Iowa State Journal of Research, V58, P371
   Carrasco B, 2007, J AM SOC HORTIC SCI, V132, P501, DOI 10.21273/JASHS.132.4.501
   Cipriani G, 2004, MOL ECOL NOTES, V4, P366, DOI 10.1111/j.1471-8286.2004.00655.x
   *COMM PLANT VAR OF, 2008, APPL TITL FORC BOT T
   Darrow G.M., 1966, STRAWBERRY, V1st
   Davis TM, 2006, J AM SOC HORTIC SCI, V131, P506, DOI 10.21273/JASHS.131.4.506
   Debnath SC, 2008, CAN J PLANT SCI, V88, P313, DOI 10.4141/CJPS07088
   Degani C, 2001, EUPHYTICA, V117, P1, DOI 10.1023/A:1004008408435
   Esselink GD, 2003, THEOR APPL GENET, V106, P277, DOI 10.1007/s00122-002-1122-y
   Excoffier L, 2005, EVOL BIOINFORM, V1, P47, DOI 10.1177/117693430500100003
   Falush D, 2007, MOL ECOL NOTES, V7, P574, DOI 10.1111/j.1471-8286.2007.01758.x
   Folta KM, 2006, CRIT REV PLANT SCI, V25, P399, DOI 10.1080/07352680600824831
   GALLETTA GJ, 1990, HORTSCIENCE, V25, P871, DOI 10.21273/HORTSCI.25.8.871
   Gil-Ariza DJ, 2006, MOL ECOL NOTES, V6, P1195, DOI 10.1111/j.1471-8286.2006.01489.x
   Graham J, 1996, THEOR APPL GENET, V93, P402, DOI 10.1007/BF00223182
   Gupta PK, 2003, MOL GENET GENOMICS, V270, P315, DOI 10.1007/s00438-003-0921-4
   Hadonou AM, 2004, GENOME, V47, P429, DOI 10.1139/G03-142
   Hancock J.F., 1996, FRUIT BREEDING VOL 2, P419, DOI DOI 10.1007/978-1-4020-6907-9-13
   Hancock J. F., 1999, STRAWBERRIES
   Hokanson KE, 2006, CAN J BOT, V84, P1829, DOI 10.1139/B06-125
   James CM, 2003, MOL ECOL NOTES, V3, P171, DOI 10.1046/j.1471-8286.2003.00365.x
   Keniry A, 2006, MOL ECOL NOTES, V6, P319, DOI 10.1111/j.1471-8286.2005.01215.x
   KLOOSTERMAN AD, 1993, INT J LEGAL MED, V105, P257, DOI 10.1007/BF01370382
   Lerceteau-Köhler E, 2003, THEOR APPL GENET, V107, P619, DOI 10.1007/s00122-003-1300-6
   Lewers KS, 2005, J AM SOC HORTIC SCI, V130, P102, DOI 10.21273/JASHS.130.1.102
   Lynch Michael, 1998
   Maccaferri M, 2003, THEOR APPL GENET, V107, P783, DOI 10.1007/s00122-003-1319-8
   Monfort A, 2006, MOL ECOL NOTES, V6, P197, DOI 10.1111/j.1471-8286.2005.01191.x
   NEI M, 1973, P NATL ACAD SCI USA, V70, P3321, DOI 10.1073/pnas.70.12.3321
   NEI M, 1979, P NATL ACAD SCI USA, V76, P5269, DOI 10.1073/pnas.76.10.5269
   Pinto LR, 2004, GENOME, V47, P795, DOI [10.1139/g04-055, 10.1139/G04-055]
   Pritchard JK, 2000, GENETICS, V155, P945
   Röder MS, 1998, GENETICS, V149, P2007
   Rousseau-Gueutin M, 2008, GENETICS, V179, P2045, DOI 10.1534/genetics.107.083840
   Sánchez-Sevilla JF, 2004, ACTA HORTIC, P119, DOI 10.17660/ActaHortic.2004.649.22
   Sargent DJ, 2006, THEOR APPL GENET, V112, P1349, DOI 10.1007/s00122-006-0237-y
   Sargent DJ, 2004, THEOR APPL GENET, V109, P1385, DOI 10.1007/s00122-004-1767-9
   Sargent DJ, 2003, MOL ECOL NOTES, V3, P550, DOI 10.1046/j.1471-8286.2003.00507.x
   Shaw DV, 1997, THEOR APPL GENET, V95, P261, DOI 10.1007/s001220050557
   Shimomura K, 2006, J JPN SOC HORTIC SCI, V75, P399, DOI 10.2503/jjshs.75.399
   SJULIN TM, 1987, J AM SOC HORTIC SCI, V112, P375
   Tessier C, 1999, THEOR APPL GENET, V98, P171, DOI 10.1007/s001220051054
   Thiel T, 2003, THEOR APPL GENET, V106, P411, DOI 10.1007/s00122-002-1031-0
   *UN FAO, 2008, PRODSTAT WORLD PROD
   YONG X, 2004, GENOME, V47, P1091
NR 52
TC 49
Z9 53
U1 0
U2 16
PU AMER SOC HORTICULTURAL SCIENCE
PI ALEXANDRIA
PA 113 S WEST ST, STE 200, ALEXANDRIA, VA 22314-2851 USA
SN 0003-1062
EI 2327-9788
J9 J AM SOC HORTIC SCI
JI J. Am. Soc. Hortic. Sci.
PD MAY
PY 2009
VL 134
IS 3
BP 337
EP 347
DI 10.21273/JASHS.134.3.337
PG 11
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 613WT
UT WOS:000279015600006
OA gold
DA 2025-01-10
ER

PT J
AU Elliott, TM
   Reed, MG
   Fletcher, AJ
AF Elliott, Tina M.
   Reed, Maureen G.
   Fletcher, Amber J.
TI Learning from wildfire: co-creating knowledge using an intersectional
   feminist standpoint methodology
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE adaptation; intersectionality; methodology; post-disaster; rural;
   standpoint; transformative; wildfire
ID CLIMATE-CHANGE; ADAPTATION; DISASTER; GENDER; VULNERABILITY; FRAMEWORK;
   BEHAVIOR; RISK
AB Due to climate change, rural Canadian communities living in boreal regions can expect more intense and frequent wildfires. People's experiences of wildfire hazards are differentiated by intersecting social factors such as age, gender, culture, and socio-economic status, as well as by social structures that enable or limit adaptation. This study engaged two Northern Saskatchewan communities in a process of co-developing a post-disaster learning framework and companion guidebook to support ongoing adaptation to climate hazards, enabled by the use of an intersectional feminist standpoint methodology. This methodology influenced both the process and outcomes of the research, which involved 18 interviews conducted with study community members and a workshop with a subset of the interview cohort. The intersectional feminist standpoint methodology facilitated insight into how intersecting social identity factors (e.g., gender, age, socio-economic status, and geography) shaped experiences of wildfire, as well as the need for and potential of post-disaster learning at the community level. In this paper, we focus on methodological insights for researchers and communities who seek to co-create knowledge and learning opportunities. In particular, we note the methodological impacts on research design choices, learning through the research process, and lessons learned through conducting community-engaged research during the early days of another kind of crisis: the COVID-19 pandemic.
C1 [Elliott, Tina M.; Reed, Maureen G.] Univ Saskatchewan, Sch Environm & Sustainabil, Saskatoon, SK, Canada.
   [Fletcher, Amber J.] Univ Regina, Dept Sociol & Social Studies, Regina, SK, Canada.
C3 University of Saskatchewan; University of Regina
RP Elliott, TM (corresponding author), Univ Saskatchewan, Sch Environm & Sustainabil, Saskatoon, SK, Canada.
EM t.elliott@usask.ca
FU Social Sciences and Humanities Research Council's (SSHRC) Joseph-Armand
   Bombardier CGS Master's Scholarship; School of Environment and
   Sustainability's Excellence Scholarship; SSHRC [435-2016-0952]
FX The first author received financial support for this project from the
   Social Sciences and Humanities Research Council's (SSHRC) Joseph-Armand
   Bombardier CGS Master's Scholarship as well as the School of Environment
   and Sustainability's Excellence Scholarship. This project was
   additionally supported through a SSHRC grant (435-2016-0952) held by AF
   and MR.
CR [Anonymous], 1991, Whose science? Whose knowledge? Thinking from women's lives
   Atallah D.G., 2019, Journal of Humanistic Psychology, P1, DOI [10.1177/0022167818825305, DOI 10.1177/0022167818825305]
   Auerbach J, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.762065
   Benichou N., 2021, National guide for wildland-urban-interface fires: guidance on hazard and exposure assessment, property protection, community resilience and emergency planning to minimize the impact of wildland-urban interface fires, P192
   Birks M., 2015, GROUNDED THEORY PRAC, V2nd
   Bowleg L, 2008, SEX ROLES, V59, P312, DOI 10.1007/s11199-008-9400-z
   Brock T, 2023, EXTRACT IND SOC, V14, DOI 10.1016/j.exis.2023.101246
   Clarke A.E., 2007, Handbook of feminist research, P345
   Crenshaw K., 1989, University of Chicago Legal Forum, P139
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   Doucet A., 2006, HDB 21 CENTURY SOCIO, P36
   Elliott T., 2022, Learning from wildfire: understanding the social dimensions of community response
   Elliott T., 2022, Post-disaster learning: a guidebook for rural Canadian communities, P32
   Enarson E., 2001, ENVIRON HAZARDS-UK, V3, P1, DOI [DOI 10.3763/EHAZ.2001.0301, 10.1016/S1464-2867(01)00009-2, 10.3763/ehaz.2001.0301]
   Eriksen C, 2011, INT J WILDLAND FIRE, V20, P612, DOI 10.1071/WF10018
   FireSmart Canada, 2018, FireSmart Canada
   Fletcher AJ, 2018, WATER SECUR NEW WOR, P35, DOI 10.1007/978-3-319-64046-4_3
   Garcia A, 2022, T I BRIT GEOGR, V47, P651, DOI 10.1111/tran.12529
   Gaur A, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100735
   Graham S, 2018, WORLD DEV, V108, P332, DOI 10.1016/j.worlddev.2017.12.008
   Haque CE, 2022, DISASTER PREV MANAG, V31, P335, DOI 10.1108/DPM-03-2021-0079
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Harder MK, 2021, J CLEAN PROD, V285, DOI 10.1016/j.jclepro.2020.125343
   Harding Sandra G., 1986, SCI QUESTION FEMINIS
   Hartsock N., 1983, DISCOVERING REALITY, P283, DOI DOI 10.1007/0-306-48017-4_15
   Heidi MW, 2019, J RURAL STUD, V72, P1, DOI 10.1016/j.jrurstud.2019.09.012
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Kenny M, 2015, QUAL REP, V20, P1270
   Leap Braden., 2018, Social Sciences, V7, P1, DOI [DOI 10.3390/SOCSCI7120250, http://doi.org/10.3390/socsci7120250]
   Marino Elizabeth., 2020, PRACTICING ANTHR, V42, P36, DOI [10.17730/0888-4552.42.4.36, DOI 10.17730/0888-4552.42.4.36]
   Meinzen-Dick R, 2014, ANNU REV ENV RESOUR, V39, P29, DOI 10.1146/annurev-environ-101813-013240
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   MEZIROW J, 1994, ADULT EDUC QUART, V44, P222, DOI 10.1177/074171369404400403
   MEzIRow J., 1997, New Directions for Adult and Continuing Education, P5, DOI DOI 10.1002/ACE.7401
   Moreton-Robinson A, 2013, AUST FEMINIST STUD, V28, P331, DOI 10.1080/08164649.2013.876664
   Northern Municipal Services, 2023, Napatak resort subdivision
   Palinkas LA, 2015, ADM POLICY MENT HLTH, V42, P533, DOI 10.1007/s10488-013-0528-y
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Paveglio TB, 2018, FOREST SCI, V64, P515, DOI 10.1093/forsci/fxy005
   Price O., 2014, Wadin Bay firesmart community assessment report
   Public Safety Canada, 2013, Canadian disaster database
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Scharbach J, 2016, HUM ORGAN, V75, P59, DOI 10.17730/0018-7259-75.1.59
   Sharpe J, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102354
   Sharpe J, 2016, INT J DISAST RISK RE, V17, P213, DOI 10.1016/j.ijdrr.2016.04.014
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smooth W.G., 2013, SITUATING INTERSECTI, P11, DOI [10.1057/9781137025135_2, DOI 10.1057/9781137025135_2]
   Statistics Canada, 2017, Northern [economic region], saskatchewan and saskatchewan [province] (table). Census profile
   Statistics Canada, 2023, Statistics Canada Catalogue no. 98-316-X2021001
   Versey HS, 2021, POL INS BEH BRAIN SC, V8, P67, DOI 10.1177/2372732220982628
   Vickery J, 2018, ENVIRON SOCIOL, V4, P136, DOI 10.1080/23251042.2017.1408549
   Walker H., 2022, Gender and the social dimensions of climate change: rural and resource contexts of the global North, P15
   Walker H, 2021, ROU ST GENDER ENVIRO, P226, DOI 10.4324/9781003052821-13
   Wang XianLi Wang XianLi, 2017, Environmental Research Letters, V12, P025005, DOI 10.1088/1748-9326/aa5835
   Zhang B, 2021, INT J QUAL METH, V20, DOI 10.1177/16094069211064672
NR 55
TC 2
Z9 2
U1 2
U2 3
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 OCT 10
PY 2023
VL 11
AR 1249598
DI 10.3389/fenvs.2023.1249598
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA U8XH9
UT WOS:001087570400001
OA gold
DA 2025-01-10
ER

PT J
AU Hatfield, J
AF Hatfield, Jerry
TI Turfgrass and Climate Change
SO AGRONOMY JOURNAL
LA English
DT Article; Proceedings Paper
CT 13th International Turfgrass Research Conference (ITRC)
CY JUL, 2017
CL New Brunswick, NJ
ID CREEPING BENTGRASS CULTIVARS; AGRICULTURE IMPLICATIONS;
   CARBOHYDRATE-METABOLISM; DROUGHT STRESS; SUMMER PATCH; SOIL;
   TEMPERATURE; RESPONSES; GROWTH; TOLERANCE
AB Climate change is occurring and is impacting biological systems through increased temperatures, more variable precipitation, and increased CO2 in the atmosphere. These effects have been documented for agricultural species, primarily grain crops, pasture and rangeland species. The extension of these relationships to turfgrass has been limited; however, these plants are an important part of our ecosystems and preservation of these plantings adds to social value and ecosystem services. Turfgrasses can be divided into cool-season and warm-season species and the projected changes in maximum air temperatures, along with increased root zone temperatures may promote a Northward migration of warm- season turfgrasses. Increased spring precipitation and more variable summer precipitation coupled with more intense precipitation events are projected to occur requiring enhanced management of soil water. Turfgrass management to ensure adequate root zone soil water, and the selection of varieties or species with greater drought tolerance in the warmer regions will be necessary to preserve turfgrass plantings. Increases in CO2 benefits turfgrass growth and positively affects water use efficiency, which decreases the potential effects of a more variable precipitation regime because of impacts on soil water use. Genotypic variation in response to soil water deficits provides a foundation for screening turfgrass species to adapt to climatic stresses. Changes in temperature and precipitation variation will increase the potential for abiotic and biotic stresses on turfgrasses. Turfgrass management will require increased attention to increased abiotic and biotic stresses.
C1 [Hatfield, Jerry] USDA ARS, Natl Lab Agr & Environm, 1015 N Univ Blvd, Ames, IA 50011 USA.
C3 United States Department of Agriculture (USDA)
RP Hatfield, J (corresponding author), USDA ARS, Natl Lab Agr & Environm, 1015 N Univ Blvd, Ames, IA 50011 USA.
EM jerry.hatfield@ars.usda.gov
CR [Anonymous], 2013, CLIM CHANG 2013 PHYS
   [Anonymous], 2014, 3 NATL COMMUNICATION
   [Anonymous], 2013, CONTRIBUTION WORKING
   Bale JS, 2002, GLOBAL CHANGE BIOL, V8, P1, DOI 10.1046/j.1365-2486.2002.00451.x
   Beard J.B., 1973, Turfgrass: Science and culture
   Bebber DP, 2013, NAT CLIM CHANGE, V3, P985, DOI [10.1038/NCLIMATE1990, 10.1038/nclimate1990]
   Beest DET, 2008, PHYTOPATHOLOGY, V98, P609, DOI 10.1094/PHYTO-98-5-0609
   Bertrand A, 2013, AGRON MONOGR, V56, P279, DOI 10.2134/agronmonogr56.c8
   Bremer DJ, 2006, J ENVIRON QUAL, V35, P1678, DOI 10.2134/jeq2005.0387
   Burgess P, 2014, HORTIC RES-ENGLAND, V1, DOI 10.1038/hortres.2014.21
   Carrow RN, 1996, CROP SCI, V36, P687, DOI [10.2135/cropsci1996.0011183X003600030028x, 10.2135/cropsci1996.0011183X003600020026x]
   Cathey SE, 2011, HORTSCIENCE, V46, P1550, DOI 10.21273/HORTSCI.46.11.1550
   Chakraborty S, 2011, PLANT PATHOL, V60, P2, DOI 10.1111/j.1365-3059.2010.02411.x
   Chakraborty S, 2000, ENVIRON POLLUT, V108, P317, DOI 10.1016/S0269-7491(99)00210-9
   DaCosta M, 2013, AGRON MONOGR, V56, P249, DOI 10.2134/agronmonogr56.c7
   DiPaola J. M., 1992, AGRON MONOGR, V32
   Ebdon JS, 2004, CROP SCI, V44, P1754, DOI 10.2135/cropsci2004.1754
   Fu JM, 2004, HORTSCIENCE, V39, P1740, DOI 10.21273/HORTSCI.39.7.1740
   Fuentealba MP, 2016, SCI HORTIC-AMSTERDAM, V198, P249, DOI 10.1016/j.scienta.2015.11.042
   Gevrey M, 2006, J ECON ENTOMOL, V99, P979, DOI 10.1603/0022-0493-99.3.979
   Griffiths BS, 2008, BIOL FERT SOILS, V44, P745, DOI 10.1007/s00374-007-0257-z
   Guo K, 2009, GLOBAL CHANGE BIOL, V15, P2539, DOI 10.1111/j.1365-2486.2009.01861.x
   GUSTA LV, 1980, HORTSCIENCE, V15, P494
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hatfield J., 2014, Agriculture. Climate Change Impacts in the United States: The Third National Climate Assessment, P150
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hatfield JL, 2014, BIOTECH AGR FOREST, V67, P61, DOI 10.1007/978-3-642-55262-5_4
   Hawkes CV, 2011, GLOBAL CHANGE BIOL, V17, P1637, DOI 10.1111/j.1365-2486.2010.02327.x
   Huang BR, 2003, CROP SCI, V43, P258, DOI 10.2135/cropsci2003.0258
   Huang BR, 1998, CROP SCI, V38, P1017, DOI [10.2135/cropsci1998.0011183X003800040022x, 10.2135/cropsci1998.0011183X003800050018x]
   Huang BR, 2001, CROP SCI, V41, P430, DOI 10.2135/cropsci2001.412430x
   Huang BR, 2000, PLANT SOIL, V227, P17, DOI 10.1023/A:1026512212113
   Huang BR, 2000, CROP SCI, V40, P1115, DOI 10.2135/cropsci2000.4041115x
   Hulke BS, 2008, EUPHYTICA, V163, P131, DOI 10.1007/s10681-007-9631-z
   Izaurralde RC, 2011, AGRON J, V103, P371, DOI 10.2134/agronj2010.0304
   KACKLEY KE, 1990, PHYTOPATHOLOGY, V80, P646, DOI 10.1094/Phyto-80-646
   KACKLEY KE, 1990, PHYTOPATHOLOGY, V80, P655, DOI 10.1094/Phyto-80-655
   KACKLEY KE, 1990, PHYTOPATHOLOGY, V80, P650, DOI 10.1094/Phyto-80-650
   KARNOK KJ, 1983, CROP SCI, V23, P514, DOI 10.2135/cropsci1983.0011183X002300030017x
   Karuppaiah V., 2012, World Journal of Agricultural Sciences, V8, P240
   Kerns JP, 2013, AGRON MONOGR, V56, P733, DOI 10.2134/agronmonogr56.21
   Kopp KL, 2013, AGRON MONOGR, V56, P319, DOI 10.2134/agronmonogr56.c9
   Landschoot P. J., 1989, GOLF COURSE MANAGE, V57, P38
   Li Xin Li Xin, 2013, Journal of Northeast Agricultural University (English Edition), V20, P85
   Liu XZ, 2005, ENVIRON EXP BOT, V53, P233, DOI 10.1016/j.envexpbot.2004.03.016
   McElroy JS, 2013, AGRON MONOGR, V56, P777, DOI 10.2134/agronmonogr56.c22
   Pautasso M, 2012, EUR J PLANT PATHOL, V133, P295, DOI 10.1007/s10658-012-9936-1
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Sweeney P, 2001, HORTSCIENCE, V36, P368, DOI 10.21273/HORTSCI.36.2.368
   Walsh J., 2014, Climate change impacts in the United States: the third national climate assessment, DOI [10.7930/J0KW5CXT., DOI 10.7930/J0KW5CXT]
   Walthall C. L., 2012, TECH B
   Wherley B, 2014, CROP SCI, V54, P1823, DOI 10.2135/cropsci2013.11.0753
   Xu QZ, 2000, CROP SCI, V40, P1368, DOI 10.2135/cropsci2000.4051368x
   Xu QZ, 2000, CROP SCI, V40, P1363, DOI 10.2135/cropsci2000.4051363x
   Xu QZ, 2001, CROP SCI, V41, P1878, DOI 10.2135/cropsci2001.1878
   Xu QZ, 2001, CROP SCI, V41, P127, DOI 10.2135/cropsci2001.411127x
   Zhang J., 2017, Crop Sci, V57, P1
   Zhang Y, 2013, J ENVIRON QUAL, V42, P1100, DOI 10.2134/jeq2012.0486
   Zhang Y, 2013, AGRON J, V105, P1151, DOI 10.2134/agronj2012.0487
   Zirkle G, 2011, HORTSCIENCE, V46, P808, DOI 10.21273/HORTSCI.46.5.808
NR 60
TC 19
Z9 23
U1 0
U2 24
PU AMER SOC AGRONOMY
PI MADISON
PA 677 S SEGOE RD, MADISON, WI 53711 USA
SN 0002-1962
EI 1435-0645
J9 AGRON J
JI Agron. J.
PD JUL-AUG
PY 2017
VL 109
IS 4
BP 1708
EP 1718
DI 10.2134/agronj2016.10.0626
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA FG5UC
UT WOS:000410407900056
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Oddou-Muratorio, S
   Davi, H
AF Oddou-Muratorio, Sylvie
   Davi, Hendrik
TI Simulating local adaptation to climate of forest trees with a
   Physio-Demo-Genetics model
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE budburst phenology; ecophysiology; European beech; Fagus sylvatica;
   individual-based model; quantitative genetics; quantitative trait loci
ID QUANTITATIVE TRAIT LOCI; FAGUS-SYLVATICA L.; PHENOTYPIC PLASTICITY;
   CARBON ALLOCATION; WATER CYCLES; ABIES-ALBA; GROWTH; PHENOLOGY;
   RESPONSES; SEED
AB One challenge of evolutionary ecology is to predict the rate and mechanisms of population adaptation to environmental variations. The variations in most life history traits are shaped both by individual genotypic and by environmental variation. Forest trees exhibit high levels of genetic diversity, large population sizes, and gene flow, and they also show a high level of plasticity for life history traits. We developed a new Physio-Demo-Genetics model (denoted PDG) coupling (i) a physiological module simulating individual tree responses to the environment; (ii) a demographic module simulating tree survival, reproduction, and pollen and seed dispersal; and (iii) a quantitative genetics module controlling the heritability of key life history traits. We used this model to investigate the plastic and genetic components of the variations in the timing of budburst (TBB) along an elevational gradient of Fagus sylvatica (the European beech). We used a repeated 5years climatic sequence to show that five generations of natural selection were sufficient to develop nonmonotonic genetic differentiation in the TBB along the local climatic gradient but also that plastic variation among different elevations and years was higher than genetic variation. PDG complements theoretical models and provides testable predictions to understand the adaptive potential of tree populations.
C1 [Oddou-Muratorio, Sylvie; Davi, Hendrik] INRA, Ecol Forets Mediterraneennes URFM UR629, F-84914 Avignon, France.
C3 INRAE
RP Oddou-Muratorio, S (corresponding author), INRA, Ecol Forets Mediterraneennes URFM UR629, F-84914 Avignon, France.
EM oddou@avignon.inra.fr
RI Davi, Hendrik/AAD-7436-2021
OI Davi, Hendrik/0000-0001-8828-3145; ODDOU-MURATORIO,
   Sylvie/0000-0003-2374-8313
FU FRB (project VARIADAPT); ERA-Net BiodivERsA LINKTREE project [ANR-
   08-Biodiversa-006-06]; ERA-Net BiodivERsA TipTree project
   [ANR-12-EBID-003]
FX We thank K Csillery, M. Cailleret, E Klein, F Lefevre, O. Savolainen,
   and two anonymous reviewers for useful comments on a previous version of
   this manuscript. We are indebted to F de Coligny, P. Dreyfus, C. Pichot
   for the informatics development on CAPSIS. We thank A Amm, A Bontemps
   and M Cailleret, J Gauzere for their PhD studies that allowed the
   calibration of PDG. This calibration benefitted from the support of UEFM
   (F Jean, O Gilg, M Pringarbe, F Rei, N Turion). The development of the
   PDG model was funded by FRB (project VARIADAPT), ERA-Net BiodivERsA
   LINKTREE project (ANR- 08-Biodiversa-006-06), and ERA-Net BiodivERsA
   TipTree project (ANR-12-EBID-003). Simulations were performed on the
   computation cluster of INRA BioSp, Avignon.
CR Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   [Anonymous], 2010, R LANG ENV STAT COMP
   [Anonymous], 2012, POTENTIEL EVOLUTIF P
   Bontemps A, 2013, FOREST ECOL MANAG, V305, P67, DOI 10.1016/j.foreco.2013.05.033
   Bost B, 2001, GENETICS, V157, P1773
   Cailleret M, 2011, TREES-STRUCT FUNCT, V25, P265, DOI 10.1007/s00468-010-0503-0
   Chevin LM, 2013, FUNCT ECOL, V27, P966, DOI 10.1111/j.1365-2435.2012.02043.x
   Davi H, 2009, AGR FOREST METEOROL, V149, P349, DOI 10.1016/j.agrformet.2008.08.014
   Davi H, 2008, FOREST ECOL MANAG, V256, P890, DOI 10.1016/j.foreco.2008.05.047
   Davi H, 2005, ECOL MODEL, V185, P387, DOI 10.1016/j.ecolmodel.2005.01.003
   Davi H, 2011, AGR FOREST METEOROL, V151, P1504, DOI 10.1016/j.agrformet.2011.06.008
   Dittmar C, 2006, EUR J FOREST RES, V125, P181, DOI 10.1007/s10342-005-0099-x
   Dufour-Kowalski S, 2012, ANN FOREST SCI, V69, P221, DOI 10.1007/s13595-011-0140-9
   Dufrêne E, 2005, ECOL MODEL, V185, P407, DOI 10.1016/j.ecolmodel.2005.01.004
   Génard M, 2008, TREES-STRUCT FUNCT, V22, P269, DOI 10.1007/s00468-007-0176-5
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Gömöry D, 2011, ANN FOREST SCI, V68, P975, DOI 10.1007/s13595-011-0103-1
   Han QM, 2011, ANN BOT-LONDON, V107, P1405, DOI 10.1093/aob/mcr082
   Hansen MM, 2012, MOL ECOL, V21, P1311, DOI 10.1111/j.1365-294X.2011.05463.x
   Herbette S, 2010, TREE PHYSIOL, V30, P1448, DOI 10.1093/treephys/tpq079
   Kramer K, 2008, ECOL MODEL, V216, P333, DOI 10.1016/j.ecolmodel.2008.05.004
   Kremer A, 2012, HEREDITY, V108, P375, DOI 10.1038/hdy.2011.81
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Kuparinen A, 2010, FOREST ECOL MANAG, V259, P1003, DOI 10.1016/j.foreco.2009.12.006
   Labonne J, 2010, AM NAT, V176, P26, DOI 10.1086/652992
   Le Corre V, 2003, GENETICS, V164, P1205
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   Menzel A, 2001, GLOBAL CHANGE BIOL, V7, P657, DOI 10.1046/j.1365-2486.2001.00430.x
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Nourtier M, 2014, ANN FOREST SCI, V71, P683, DOI 10.1007/s13595-012-0229-9
   Oddou-Muratorio S, 2010, FOREST ECOL MANAG, V259, P2151, DOI 10.1016/j.foreco.2010.03.001
   Polechová J, 2009, AM NAT, V174, pE186, DOI 10.1086/605958
   Porté A, 2004, AGR FOREST METEOROL, V126, P175, DOI 10.1016/j.agrformet.2004.06.001
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Richardson AD, 2006, GLOBAL CHANGE BIOL, V12, P1174, DOI 10.1111/j.1365-2486.2006.01164.x
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Soularue JP, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-79
   Vitasse Y, 2011, AGR FOREST METEOROL, V151, P969, DOI 10.1016/j.agrformet.2011.03.003
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   Vitasse Y, 2009, AGR FOREST METEOROL, V149, P735, DOI 10.1016/j.agrformet.2008.10.019
   vonWuehlisch G, 1995, SILVAE GENET, V44, P343
   Yamauchi A, 1996, EVOLUTION, V50, P1795, DOI 10.1111/j.1558-5646.1996.tb03566.x
NR 43
TC 39
Z9 41
U1 0
U2 64
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD APR
PY 2014
VL 7
IS 4
BP 453
EP 467
DI 10.1111/eva.12143
PG 15
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA AF4ID
UT WOS:000334674300004
PM 24822080
OA Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Stackpole, DJ
   Vaillancourt, RE
   Alves, A
   Rodrigues, J
   Potts, BM
AF Stackpole, Desmond J.
   Vaillancourt, Rene E.
   Alves, Ana
   Rodrigues, Jose
   Potts, Brad M.
TI Genetic Variation in the Chemical Components of <i>Eucalyptus
   globulus</i> Wood
SO G3-GENES GENOMES GENETICS
LA English
DT Article
DE tree improvement; wood chemicals; adaptation; lignin; cellulose;
   extractives; syringyl; guaiacyl
ID QUANTITATIVE TRAIT LOCI; LIGNIN CONTENT; PULP YIELD; SYRINGYL/GUAIACYL
   RATIO; ANALYTICAL PYROLYSIS; TREE VARIATION; SSP GLOBULUS; FOREST-TREE;
   GROWTH; PARAMETERS
AB Despite the ecological and economic importance of lignin and other wood chemical components, there are few studies of the natural genetic variation that exists within plant species and its adaptive significance. We used models developed from near infra-red spectroscopy to study natural genetic variation in lignin content and monomer composition (syringyl-to-guaiacyl ratio [S/G]) as well as cellulose and extractives content, using a 16-year-old field trial of an Australian tree species, Eucalyptus globulus. We sampled 2163 progenies of 467 native trees from throughout the native geographic range of the species. The narrow-sense heritability of wood chemical traits (0.25-0.44) was higher than that of growth (0.15), but less than wood density (0.51). All wood chemical traits exhibited significant broad-scale genetic differentiation (Q(ST) = 0.34-0.43) across the species range. This differentiation exceeded that detected with putatively neutral microsatellite markers (F-ST = 0.09), arguing that diversifying selection has shaped population differentiation in wood chemistry. There were significant genetic correlations among these wood chemical traits at the population and additive genetic levels. However, population differentiation in the S/G ratio of lignin in particular was positively correlated with latitude (R-2 = 76%), which may be driven by either adaptation to climate or associated biotic factors.
C1 [Stackpole, Desmond J.; Vaillancourt, Rene E.; Potts, Brad M.] Univ Tasmania, Sch Plant Sci, Hobart, Tas 7001, Australia.
   [Stackpole, Desmond J.; Vaillancourt, Rene E.; Potts, Brad M.] Univ Tasmania, Cooperat Res Ctr Forestry, Hobart, Tas 7001, Australia.
   [Stackpole, Desmond J.] Scion, Rotorua 3046, New Zealand.
   [Alves, Ana; Rodrigues, Jose] Trop Res Inst Portugal IICT, Forestry & Forest Prod Ctr, P-1349017 Lisbon, Portugal.
C3 University of Tasmania; University of Tasmania; Scion
RP Potts, BM (corresponding author), Univ Tasmania, Sch Plant Sci, Private Bag 55, Hobart, Tas 7001, Australia.
EM b.m.potts@utas.edu.au
RI Rodrigues, Jose/B-2841-2008; Potts, Brad/C-6489-2013; Alves,
   Ana/C-2857-2009; Vaillancourt, Rene/J-7456-2014
OI Rodrigues, Jose/0000-0002-4279-6188; Potts, Brad/0000-0001-6244-289X;
   Alves, Ana/0000-0002-6626-4848; Vaillancourt, Rene/0000-0002-1159-9149
FU Australian Research Council [LP0453704]; Southern Tree Breeding
   Association; Cooperative Research Centre for Forestry; Australian
   Research Council [LP0453704] Funding Source: Australian Research Council
FX We thank Gunns Limited for making the trial available for study. Kelsey
   Joyce, Linda Ballard, and Mark Reynolds assisted in field and laboratory
   work. We thank Chris Harwood for comments on the manuscript, Geoff
   Downes for advice with NIR modelling and Greg Dutkowski advice on data
   analysis, including formulating the likelihood ratio tests for
   Q<INF>ST</INF>. We also thank the Australian Research Council and
   industry partners on Linkage grant (LP0453704), the Southern Tree
   Breeding Association, and the Cooperative Research Centre for Forestry
   for their support.
CR Alves A, 2006, HOLZFORSCHUNG, V60, P29, DOI 10.1515/HF.2006.006
   [Anonymous], CELBI LEIROSA FIGUEI
   [Anonymous], AUSTR FOR GEN C
   [Anonymous], P IUFRO C SILV CULT
   [Anonymous], 2006, PRIMARY WOOD PROCESS, DOI DOI 10.1007/1-4020-4393-7_7
   [Anonymous], ASREML REFERENCE MAN
   [Anonymous], RUCALYPT PLANTATIONS
   [Anonymous], THESIS U TASMANIA HO
   [Anonymous], ANN FOR SCI
   Anterola AM, 2002, PHYTOCHEMISTRY, V61, P221, DOI 10.1016/S0031-9422(02)00211-X
   Apiolaza LA, 2005, SILVAE GENET, V54, P160, DOI 10.1515/sg-2005-0024
   Armbruster WS, 1996, J EVOLUTION BIOL, V9, P261, DOI 10.1046/j.1420-9101.1996.9030261.x
   Astorga R, 2004, Eucalyptus in a Changing World, P351
   Bachir O, 2006, CARYOLOGIA, V59, P207, DOI 10.1080/00087114.2006.10797916
   BLANCHETTE RA, 1991, ANNU REV PHYTOPATHOL, V29, P381, DOI 10.1146/annurev.py.29.090191.002121
   Boddy L., 2001, ECOL BULL, V49, P43, DOI DOI 10.2307/20113263
   Bose SK, 2009, BIORESOURCE TECHNOL, V100, P1628, DOI 10.1016/j.biortech.2008.08.046
   Bozell JJ, 2010, SCIENCE, V329, P522, DOI 10.1126/science.1191662
   Brooker MIH, 2000, AUST SYST BOT, V13, P79, DOI 10.1071/SB98008
   Burley J., 2004, Encyclopedia of forest sciences, P197, DOI DOI 10.1016/B0-12-145160-7/00086-7
   Campbell MM, 1996, PLANT PHYSIOL, V110, P3, DOI 10.1104/pp.110.1.3
   Casler MD, 2005, CROP SCI, V45, P388, DOI 10.2135/cropsci2005.0388
   Casler MD, 2004, CROP SCI, V44, P293, DOI 10.2135/cropsci2004.2930
   Chambers PGS, 1996, SILVAE GENET, V45, P107
   Coleman HD, 2008, PLANT PHYSIOL, V148, P1229, DOI 10.1104/pp.108.125500
   del Río JC, 2005, J ANAL APPL PYROL, V74, P110, DOI 10.1016/j.jaap.2004.10.010
   del Río JC, 2002, J ANAL APPL PYROL, V64, P421, DOI 10.1016/S0165-2370(02)00043-8
   Dutkowski GW, 1999, AUST J BOT, V47, P237, DOI 10.1071/BT97114
   Falconer D.S., 1996, Quantitative Genetics
   Freeman JS, 2009, TREE GENET GENOMES, V5, P713, DOI 10.1007/s11295-009-0222-0
   Gierlinger N, 2004, TREES-STRUCT FUNCT, V18, P230, DOI 10.1007/s00468-003-0300-0
   Gindl W, 2001, IAWA J, V22, P113, DOI 10.1163/22941932-90000272
   Godoy EA, 2007, MADERAS-CIENC TECNOL, V9, P179, DOI 10.4067/S0718-221X2007000200008
   González-Martínez SC, 2006, NEW PHYTOL, V170, P227, DOI 10.1111/j.1469-8137.2006.01686.x
   Greaves BL, 1997, FOREST SCI, V43, P465
   Guerra A, 2008, IND ENG CHEM RES, V47, P8542, DOI 10.1021/ie800320d
   Gutiérrez A, 1999, APPL ENVIRON MICROB, V65, P1367
   Hamilton M. G., 2008, New Zealand Journal of Forestry Science, V38, P102
   Hamilton MG, 2007, ANN FOREST SCI, V64, P831, DOI 10.1051/forest:2007064
   Hatfield R, 2005, CROP SCI, V45, P832, DOI 10.2135/cropsci2004.0238
   Hillis W.E., 1989, NATURAL PRODUCTS WOO, V2, P880
   KAWAMURA I, 1967, HOLZFORSCHUNG, V21, P65, DOI 10.1515/hfsg.1967.21.3.65
   Kirst M, 2004, PLANT PHYSIOL, V135, P2368, DOI 10.1104/pp.103.037960
   Latta RG, 1998, AM NAT, V151, P283, DOI 10.1086/286119
   LEWIS NG, 1990, ANNU REV PLANT PHYS, V41, P455, DOI 10.1146/annurev.pp.41.060190.002323
   da Seca AML, 2006, PESQUI AGROPECU BRAS, V41, P1687, DOI 10.1590/S0100-204X2006001200001
   MacLeod M., 2007, Paperi ja Puu - Paper and Timber, V89, P1
   Mimura M, 2009, MOL ECOL, V18, P4180, DOI 10.1111/j.1365-294X.2009.04350.x
   Miranda I, 2002, ANN FOREST SCI, V59, P283, DOI 10.1051/forest:2002024
   Miranda I, 2001, APPITA J, V54, P347
   NHS Providers, 2024, State of the provider sector
   Ona T, 1998, J WOOD SCI, V44, P165, DOI 10.1007/BF00521958
   PATTERSON HD, 1976, BIOMETRIKA, V63, P83, DOI 10.2307/2335087
   Perez DD, 2007, HOLZFORSCHUNG, V61, P611, DOI 10.1515/HF.2007.118
   Pinto PC, 2002, J WOOD CHEM TECHNOL, V22, P93, DOI 10.1081/WCT-120013355
   Plomion C, 2001, PLANT PHYSIOL, V127, P1513, DOI 10.1104/pp.010816
   Potts B.M., 2004, Exploration of the Eucalyptus globulus gene pool
   Raymond C. A., 2001, Forest Genetics, V8, P213
   Raymond CA, 2002, CAN J FOREST RES, V32, P170, DOI 10.1139/x01-174
   Rencoret J, 2008, HOLZFORSCHUNG, V62, P514, DOI 10.1515/HF.2008.096
   Rencoret J, 2007, HOLZFORSCHUNG, V61, P165, DOI 10.1515/HF.2007.030
   Rodrigues J, 1999, J ANAL APPL PYROL, V48, P121, DOI 10.1016/S0165-2370(98)00134-X
   Rodrigues J, 2001, J ANAL APPL PYROL, V58, P481, DOI 10.1016/S0165-2370(00)00121-2
   Roelofs D, 2008, FUNCT ECOL, V22, P8, DOI 10.1111/j.1365-2435.2007.01312.x
   Salmore AK, 2001, J CHEM ECOL, V27, P1713, DOI 10.1023/A:1010411122739
   Schimleck LR, 2000, APPITA J, V53, P458
   Schwarze F. W. M. R., 2000, Mycological Research, V104, P1126, DOI 10.1017/S0953756200002525
   SEDJO RA, 1993, WATER AIR SOIL POLL, V70, P295, DOI 10.1007/BF01105003
   Sewell MM, 2002, THEOR APPL GENET, V104, P214, DOI 10.1007/s001220100697
   Stackpole DJ, 2010, CAN J FOREST RES, V40, P917, DOI 10.1139/X10-035
   Stackpole DJ, 2010, TREE GENET GENOMES, V6, P179, DOI 10.1007/s11295-009-0239-4
   Steane DA, 2006, TREE GENET GENOMES, V2, P30, DOI 10.1007/s11295-005-0028-7
   Syafii W., 1988, Bulletin of the Tokyo University Forests, P69
   Taylor AM, 2002, WOOD FIBER SCI, V34, P587
   Thamarus K, 2004, THEOR APPL GENET, V109, P856, DOI 10.1007/s00122-004-1699-4
   Tibbits WN, 2006, AUST J BOT, V54, P521, DOI 10.1071/BT02061
   Toro M., 1998, Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, Armidale, New South Wales, Australia, P499
   Tsuchikawa S, 2007, APPL SPECTROSC REV, V42, P43, DOI 10.1080/05704920601036707
   Turner SR, 1997, PLANT CELL, V9, P689, DOI 10.1105/tpc.9.5.689
   Voelker S, 2009, THESIS OREGON STATE
   Wainhouse D, 1998, J CHEM ECOL, V24, P1551, DOI 10.1023/A:1020915901756
   Wainhouse D, 1996, FUNCT ECOL, V10, P137, DOI 10.2307/2390272
   Wallis AFA, 1996, APPITA J, V49, P427
   Watanabe Y, 2004, IAWA J, V25, P283, DOI 10.1163/22941932-90000366
   Weng JK, 2010, NEW PHYTOL, V187, P273, DOI 10.1111/j.1469-8137.2010.03327.x
   Williams K. J., 1996, Tasforests, V8, P39
   Workman J. J., 1992, HDB NEAR INFRARED AN, P247
   WU J, 1992, HOLZFORSCHUNG, V46, P181, DOI 10.1515/hfsg.1992.46.3.181
   Yang RC, 1996, GENETICS, V142, P1045
   Zobel B.J., 1995, GENETICS WOOD PRODUC
   Zobel BJ., 1989, WOOD VARIATION ITS C, P1
NR 91
TC 90
Z9 103
U1 2
U2 42
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2160-1836
J9 G3-GENES GENOM GENET
JI G3-Genes Genomes Genet.
PD JUL 1
PY 2011
VL 1
IS 2
BP 151
EP 159
DI 10.1534/g3.111.000372
PG 9
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 055HO
UT WOS:000312406400007
PM 22384327
OA Green Published, gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Favretto, N
   Stringer, LC
AF Favretto, Nicola
   Stringer, Lindsay C.
TI Climate resilient development in vulnerable geographies
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate adaptation and mitigation; Triple wins; United Nations Framework
   Convention on Climate Change (UNFCCC); Pathways; Resilience
ID LAND DEGRADATION NEUTRALITY; WATER AVAILABILITY; IMPACTS; ADAPTATION;
   RISK; STRATEGIES; SOIL; MITIGATION; SECURITY; REGIONS
AB The Intergovernmental Panel on Climate Change highlights the urgent need to operationalise Climate Resilient Development Pathways (CRDP), adopting mitigation and adaptation measures to secure a safe climate, meet human needs under a changing climate and enable sustainable development. Analyses have not yet compared different vulnerable geographies to understand similarities and differences in the constraints and opportunities in operationalising CRDP. Using conventional narrative literature review, this paper assesses CRDP across some of the world's most vulnerable geographies: highlands (mountains), drylands and islands. It asks: (1) how are climate impacts experienced across highlands, drylands and islands and (2) what types of adaptation and mitigation are being employed across these vulnerable geographies? Key steps are discussed in moving towards CRDP via multiple enabling conditions. Findings show shared impacts across geographies include impacts on ecosystems, fisheries, agriculture and water systems, livelihood failure, food insecurity, and degradation of human health, inequality, losses to economic sectors, human migration and conflict, and cascading transboundary impacts. Adaptation and mitigation actions tend to focus on promoting nature-based approaches, livelihood diversification and economic development, harnessing mixed knowledges and policy and institutional measures. Actions with potential to accelerate transitions towards CRDP should focus on the specific arenas of engagement shaping the underlying vulnerability context of each geography, including the socio-cultural context, politics, governance and institutions, the economic and financial systems, knowledge availability, and technological capabilities.
C1 [Favretto, Nicola; Stringer, Lindsay C.] Univ York, Dept Environm & Geog, York YO10 5NG, England.
   [Stringer, Lindsay C.] Univ York, York Environm Sustainabil Inst, York YO10 5NG, England.
C3 University of York - UK; University of York - UK
RP Favretto, N (corresponding author), Univ York, Dept Environm & Geog, York YO10 5NG, England.
EM nicola.favretto@york.ac.uk
OI Favretto, Nicola/0000-0002-2100-6706
FU University of York Department of Environment and Geography
FX This research was funded by the University of York Department of
   Environment and Geography. We thank Dr Juan Antonio Hernandez Agueero
   for creating Fig. 1.
CR Williams PA, 2020, LAND-BASEL, V9, DOI 10.3390/land9090331
   Adenle AA, 2017, ECOL ECON, V141, P190, DOI 10.1016/j.ecolecon.2017.06.004
   Adler C., 2022, Cross-Chapter Paper 5: Mountains, P2273, DOI [DOI 10.1017/9781009325844.022, 10.1017/9781009325844.022]
   Aggarwal A, 2022, CLIM DEV, V14, P665, DOI 10.1080/17565529.2021.1971059
   Ahmed M, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-015-2216-6
   Almer C, 2017, J ENVIRON ECON MANAG, V86, P193, DOI 10.1016/j.jeem.2017.06.002
   Amadu FO, 2020, ECOL ECON, V167, DOI 10.1016/j.ecolecon.2019.106443
   Assennato F, 2020, ITAL J AGRON, V15, P299, DOI 10.4081/ija.2020.1770
   Bawden R, 2018, Climate variability impacts on land use and livelihoods in drylands, P59
   Baynes J, 2022, J RURAL STUD, V90, P34, DOI 10.1016/j.jrurstud.2022.01.011
   Bebber DP, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0269
   Blaustein R, 2018, Turning desert to fertile farmland on the Loess Plateau
   BNDES, 2021, BNDES creates program with an incentive rate to stimulate reduction of CO2 emissions in the fuel sector
   Buisson E, 2019, BIOL REV, V94, P590, DOI 10.1111/brv.12470
   Chasek P, 2019, ENVIRON SCI POLICY, V92, P182, DOI 10.1016/j.envsci.2018.11.017
   Chen D, 2021, GEOGR SUSTAIN, V2, P195, DOI 10.1016/j.geosus.2021.08.002
   Chidi CL, 2022, APPL GEOGR, V148, DOI 10.1016/j.apgeog.2022.102793
   Chou CC, 2021, MAR POLLUT BULL, V172, DOI 10.1016/j.marpolbul.2021.112826
   Choukri F, 2020, INT SOIL WATER CONSE, V8, P141, DOI 10.1016/j.iswcr.2020.03.003
   Clayton S, 2020, J ANXIETY DISORD, V74, DOI 10.1016/j.janxdis.2020.102263
   Colding J, 2019, ECOL SOC, V24, DOI 10.5751/ES-10598-240102
   Crichton R, 2018, limits to climate change adaptation, P283
   Dallimer M, 2018, ENVIRON SCI POLICY, V89, P198, DOI 10.1016/j.envsci.2018.08.004
   Dar MA, 2023, Understanding soils of mountainous landscapes, P375, DOI [10.1016/B978-0-323-95925-4.00009-1, DOI 10.1016/B978-0-323-95925-4.00009-1]
   Dasgupta S, 2022, WORLD DEV, V150, DOI 10.1016/j.worlddev.2021.105707
   De Leo S, 2023, LAND-BASEL, V12, DOI 10.3390/land12040906
   de Moor J, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-10003-y
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Dubash N.K., 2022, Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/9781009157926.015
   EIB, 2023, EIB Group activity in Italy in 2022: 10.09 billion of investment and record green financing
   Eldridge DJ, 2018, Climate variability impacts on land use and livelihoods in drylands, P293, DOI [10.1007/978-3-319-56681-814, DOI 10.1007/978-3-319-56681-814]
   Esteban M, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2019.104852
   Estrada-Carmona N, 2014, LANDSCAPE URBAN PLAN, V129, P1, DOI 10.1016/j.landurbplan.2014.05.001
   Fakhruddin BSHM, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100034
   Falayi M, 2020, LAND-BASEL, V9, DOI 10.3390/land9070227
   Favretto N, 2016, ECOSYST SERV, V17, P142, DOI 10.1016/j.ecoser.2015.12.005
   Favretto N, 2021, LAND-BASEL, V10, DOI 10.3390/land10030285
   Favretto N, 2020, LAND-BASEL, V9, DOI 10.3390/land9050157
   Favretto N, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030779
   Forster J., 2019, Atlas of ecosystem services, P353, DOI [10.1007/978-3-319-96229-0_54, DOI 10.1007/978-3-319-96229-0_54]
   French A., 2015, The High-Mountain cryosphere: Environmental changes and human risks, P315, DOI DOI 10.1017/CBO9781107588653.017
   Gebeye BA, 2016, PASTORALISM, V6, DOI 10.1186/s13570-016-0049-x
   Giudici F, 2022, RENEW SUST ENERGY TR, V2, DOI 10.1016/j.rset.2022.100036
   Glossary Moller V, 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 Portner H-O
   Goodrich CG, 2019, ENVIRON DEV, V31, P1, DOI 10.1016/j.envdev.2019.01.001
   Goudarzi G, 2017, PUBLIC HEALTH, V148, P109, DOI 10.1016/j.puhe.2017.03.009
   Goudie AS, 2020, EXTREME WEATHER EVENTS AND HUMAN HEALTH: INTERNATIONAL CASE STUDIES, P13, DOI 10.1007/978-3-030-23773-8_2
   He B, 2019, AGR FOREST METEOROL, V278, DOI 10.1016/j.agrformet.2019.107663
   Hickey GM, 2020, FOOD SECUR, V12, P831, DOI 10.1007/s12571-020-01066-3
   Homewood K, 2018, The International Encyclopedia of Anthropology, P1, DOI [DOI 10.1002/9781118924396.WBIEA155925855820, 10.1002/9781118924396.wbiea1559, DOI 10.1002/9781118924396.WBIEA1559]
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   Huggel C., 2015, The high-mountain cryosphere: environmental changes and human risks, P363, DOI [10.1017/CBO9781107588653, DOI 10.1017/CBO9781107588653]
   Hughes RF., 2017, Baseline and Projected Future Carbon Storage and Carbon Fluxes in Ecosystems of Hawai'i, P43, DOI DOI 10.3133/PP1834
   Hussain A, 2018, NAT HAZARDS, V91, P1365, DOI 10.1007/s11069-018-3187-1
   Hussain A, 2019, FRESEN ENVIRON BULL, V28, P6683
   Jain DK, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-10002-z
   Karnauskas KB, 2018, REG ENVIRON CHANGE, V18, P2273, DOI 10.1007/s10113-018-1331-9
   Kattumuri R, 2017, CLIM DEV, V9, P36, DOI 10.1080/17565529.2015.1067179
   Khangura R, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032338
   Kinouchi T., 2019, Water Secur, V6, P100025, DOI [10.1016/j.wasec.2019.100025, DOI 10.1016/J.WASEC.2019.100025]
   Kissinger G, 2019, LAND USE POLICY, V83, P256, DOI 10.1016/j.landusepol.2019.02.007
   Klein JA, 2019, ENVIRON SCI POLICY, V94, P143, DOI 10.1016/j.envsci.2018.12.034
   Kmoch L, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103719
   Kolapo A, 2023, J AGR FOOD RES, V12, DOI 10.1016/j.jafr.2023.100557
   Körner C, 2017, ALPINE BOT, V127, P1, DOI 10.1007/s00035-016-0182-6
   Koutroulis AG, 2019, GLOBAL PLANET CHANGE, V175, P52, DOI 10.1016/j.gloplacha.2019.01.013
   Lavorel S, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02063-w
   Legambiente, 2023, Nevediversa: Il turismo invernale nell'era della crisi climatica
   Levy Y., 2006, Informing Science, V9, P181
   Li CJ, 2021, NAT REV EARTH ENV, V2, P858, DOI 10.1038/s43017-021-00226-z
   Maharjan A, 2020, CURR CLIM CHANGE REP, V6, P1, DOI 10.1007/s40641-020-00153-z
   Manes S, 2021, BIOL CONSERV, V257, DOI 10.1016/j.biocon.2021.109070
   Marques AR, 2016, APPL SOIL ECOL, V107, P290, DOI 10.1016/j.apsoil.2016.06.002
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McDowell G, 2020, CLIMATIC CHANGE, V163, P953, DOI 10.1007/s10584-020-02920-1
   Mechler R., 2019, Loss and damage from climate change: Concepts, methods and policy options, DOI [10.1007/978-3-319-72026-5, DOI 10.1007/978-3-319-72026-5]
   MEES, 2022, Piano nazionale di adattamento ai cambiamenti climatici
   Minx JC, 2017, ENVIRON SCI POLICY, V77, P252, DOI 10.1016/j.envsci.2017.05.014
   Mirzabaev A., 2019, CLIMATE CHANGE LAND
   Mishra A, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P457, DOI 10.1007/978-3-319-92288-1_13
   Mohan PS, 2023, MITIG ADAPT STRAT GL, V28, DOI 10.1007/s11027-023-10062-9
   Motschmann A, 2020, CLIMATIC CHANGE, V162, P837, DOI 10.1007/s10584-020-02770-x
   Murray PA, 2021, MCCIP Sci Rev, V2021, P27, DOI [DOI 10.14465/2021.ORC01.CAR, 10.14465/2021.orc01.car]
   Muto M, 2022, Water security under climate change, DOI [10.1007/978-981-16-5493-0, DOI 10.1007/978-981-16-5493-0]
   Mycoo M., 2022, Climate Change 2022: Impacts, P2043, DOI DOI 10.1017/9781009325844.017
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Nitschke M, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2016-012125
   Nordhagen S, 2017, ECOL ECON, V137, P99, DOI 10.1016/j.ecolecon.2017.02.025
   Nunan F, 2017, Making climate compatible development happen, P284
   Nyiwul LM, 2019, CONTRIB ECON, P219, DOI 10.1007/978-3-030-02662-2_11
   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]
   Pagliacci F, 2020, SCI TOTAL ENVIRON, V710, DOI 10.1016/j.scitotenv.2019.136345
   Pascoe S, 2019, GLOBAL ENVIRON CHANG, V54, P78, DOI 10.1016/j.gloenvcha.2018.11.010
   Pescaroli G, 2018, RISK ANAL, V38, P2245, DOI 10.1111/risa.13128
   Pizzimenti E, 2023, ITAL POLIT SCI REV, V53, P312, DOI 10.1017/ipo.2023.6
   Premand P, 2022, J ENVIRON ECON MANAG, V116, DOI 10.1016/j.jeem.2022.102744
   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]
   Rasul G, 2020, CLIM DEV, V12, P297, DOI 10.1080/17565529.2019.1617099
   Reed MS, 2015, J ENVIRON MANAGE, V151, P472, DOI 10.1016/j.jenvman.2014.11.010
   Reguero BG, 2018, J ENVIRON MANAGE, V210, P146, DOI 10.1016/j.jenvman.2018.01.024
   Republic of South Africa, 2021, South Africa's 4th Biennial Update Report to the United Nations Framework Convention on Climate Change, P255
   Robinson JPW, 2019, GLOBAL CHANGE BIOL, V25, P2739, DOI 10.1111/gcb.14704
   Robinson SA, 2020, ENVIRON SUSTAIN IND, V8, DOI 10.1016/j.indic.2020.100065
   Russell JC, 2017, ENVIRON CONSERV, V44, P359, DOI 10.1017/S0376892917000297
   Salmon C, 2019, ANTHROPOCENE, V25, DOI 10.1016/j.ancene.2019.100191
   Sayre R, 2019, J OPER OCEANOGR, V12, pS47, DOI 10.1080/1755876X.2018.1529714
   Schipper ELF., 2022, Climate Change 2022: Impacts, P2655, DOI [10.1017/9781009325844.027.2655, DOI 10.1017/9781009325844.027.2655, 10.1017/ 9781009325844.027, DOI 10.1017/9781009325844.027]
   Silas MO, 2020, ENVIRON SCI POLICY, V108, P67, DOI 10.1016/j.envsci.2020.03.012
   Simpson NP, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00089-x
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Skrimizea E, 2020, WATER INT, V45, P746, DOI 10.1080/02508060.2020.1791683
   Skwierawski A, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19106308
   Sorensen L, 2007, A spatial analysis approach to the global delineation of dryland areas of relevance to the CBD programme of work on dry and sub-humid lands
   Spandre P, 2019, CRYOSPHERE, V13, P1325, DOI 10.5194/tc-13-1325-2019
   Stringer LC, 2021, ONE EARTH, V4, P851, DOI 10.1016/j.oneear.2021.05.010
   Stringer LC, 2017, LAND DEGRAD DEV, V28, P1952, DOI 10.1002/ldr.2716
   Suckall N, 2015, AMBIO, V44, P34, DOI 10.1007/s13280-014-0520-0
   Sylvester A, 2013, BEHAV INFORM TECHNOL, V32, P1199, DOI 10.1080/0144929X.2011.624633
   Taylor A, 2023, CURR OPIN ENV SUST, V64, DOI 10.1016/j.cosust.2023.101328
   Thornton TF, 2017, CLIMATIC CHANGE, V140, P5, DOI 10.1007/s10584-013-0884-3
   Tsymbarovich P, 2020, INT SOIL WATER CONSE, V8, P418, DOI 10.1016/j.iswcr.2020.06.002
   UNDP, 2021, Human development reports website
   UNEP-WCMC, 2007, A spatial analysis approach to the global delineation of dryland Areas of relevance to the CBD programme of work on dry and subhumid lands
   UNFCCC, 2015, 21 C PART DEC FCCC C
   Vatn A, 2012, ECOL SOC, V17, DOI 10.5751/ES-05022-170412
   Viviroli D, 2020, NAT SUSTAIN, V3, P917, DOI 10.1038/s41893-020-0559-9
   Vogiatzakis IN, 2016, BIODIVERS CONSERV, V25, P2597, DOI 10.1007/s10531-016-1204-9
   Wandres M, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00546
   Wang WC, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102914
   Wilhite D., 2017, Drought and water crises: integrating science, management, and policy
   Wilhite DA, 2019, EURO-MEDITERR J ENVI, V4, DOI 10.1007/s41207-019-0131-z
   Yohannes Z, 2020, ENVIRON DEV SUSTAIN, V22, P3051, DOI 10.1007/s10668-019-00334-3
   Yuan H, 2011, ENRGY PROCED, V5, P1706, DOI 10.1016/j.egypro.2011.03.290
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 135
TC 0
Z9 0
U1 1
U2 1
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD DEC
PY 2024
VL 29
IS 8
AR 90
DI 10.1007/s11027-024-10187-5
PG 32
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA O5L8G
UT WOS:001371546800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Palik, BJ
   Kastendick, DN
   Kragthorpe, J
AF Palik, Brian J.
   Kastendick, Douglas N.
   Kragthorpe, Josh
TI Comparing performance of assisted migration seed sources of two oak
   species in a Minnesota red pine woodland
SO NEW FORESTS
LA English
DT Article
DE Climate change; Adaptation; Bur oak; Northern red oak
ID CLIMATE-CHANGE; ADAPTATION; FORESTRY
AB Forest assisted migration (FAM) is the movement of tree species or genotypes to locations that are projected to be climatically suitable for future growth and survival. FAM can be an integral component of climate adaptation projects. An example of such a project is the Red Pine Adaptive Silviculture for Climate Change (Red Pine ASCC) experiment in northern Minesota, USA. The experiment includes planting seedlings of northern red oak and bur oak from two different seed sources south of the study area. The primary source for both species was central Minnesota, one seed zone south of the local zone. However, due to the number of seedlings needed, a secondary source was also used that included red oak from southwest Michigan and bur oak from eastern Iowa. Known planting locations and densities of the seed sources allowed comparison of survival and growth to assess if the primary seed sources out-performed the secondary sources. For both species, densities after five growing seasons were not significantly different between seed sources, suggesting similar survival. Heights and diameters of bur oak were nearly identical for the two seed sources, suggesting similar growth rates. For northern red oak, seedlings of the Minnesota seed source were taller and larger in diameter than the Michigan seed source, but differences were small. Our results suggest managers can be opportunistic when acquiring seedlings of these species for similar FAM projects.
C1 [Palik, Brian J.; Kastendick, Douglas N.] US Forest Serv, USDA, Northern Res Stn, 1831 E Hwy 169, Grand Rapids, MN 55744 USA.
   [Kragthorpe, Josh] Univ Minnesota, Dept Forest Resources, 2005 Upper Buford Cir, St Paul, MN USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; University of Minnesota System; University of Minnesota Twin
   Cities
RP Palik, BJ (corresponding author), US Forest Serv, USDA, Northern Res Stn, 1831 E Hwy 169, Grand Rapids, MN 55744 USA.
EM brian.palik@usda.gov
OI Kastendick, Douglas/0000-0003-3916-4558
FU USDA Forest Service Northern Research Station
FX We thank the Chippewa National Forest for logistic support of the ASCC
   project. We also thank Shawn Linder for support with measuring
   seedlings. We thank three anonomous reviewers for helpful comments to
   improve the manuscript. The USDA Forest Service Northern Research
   Station provided financial and logistic support for this project.
CR Adams MB, 2008, USDA FOREST SERVICE
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2003, FIELD GUIDE NATIVE P
   Clark PW, 2023, BIOSCIENCE, V73, P575, DOI 10.1093/biosci/biad049
   Cleland DT, 2007, USDA FOREST SERVICE
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Etterson JR, 2020, ECOL APPL, V30, DOI 10.1002/eap.2092
   Frelich LE, 2018, ACCELERATED MIGRATIO
   GEORGE JF, 1977, J RANGE MANAGE, V30, P357, DOI 10.2307/3897721
   GILL RMA, 1992, FORESTRY, V65, P145, DOI 10.1093/forestry/65.2.145
   Hamann A, 2006, ECOLOGY, V87, P2773, DOI 10.1890/0012-9658(2006)87[2773:PEOCCO]2.0.CO;2
   Handler, 2014, USDA FOREST SERVICE
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   Muller JJ, 2019, FOREST ECOL MANAG, V451, DOI 10.1016/j.foreco.2019.117539
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Palik BJ, 2022, ECOSPHERE, V13, DOI 10.1002/ecs2.4260
   Pedlar JH, 2024, NEW FOREST, V55, P63, DOI 10.1007/s11056-023-09965-x
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Peters M.P., 2020, Climate change tree atlas
   Pike C, 2020, J FOREST, V118, P444, DOI 10.1093/jofore/fvaa013
   Stanturf JA, 2014, FOREST ECOL MANAG, V331, P292, DOI 10.1016/j.foreco.2014.07.029
   Wiechmann LJ, 2022, FOREST ECOL MANAG, V523, DOI 10.1016/j.foreco.2022.120499
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
NR 23
TC 0
Z9 0
U1 1
U2 1
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 2024
VL 55
IS 6
BP 1875
EP 1885
DI 10.1007/s11056-024-10064-8
EA AUG 2024
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA J8Y5B
UT WOS:001294980200001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Robertson, J
   Abaidoo, CS
   Okwan, DK
   Tetteh, J
   Adjei-Antwi, C
   Bempah, S
   Ampofo, M
AF Robertson, Juliet
   Abaidoo, Chrissie Stansie
   Okwan, Daniel Kobina
   Tetteh, Joshua
   Adjei-Antwi, Collins
   Bempah, Samuel
   Ampofo, Michael
TI Nasal Anthropometry: An Assessment Among the Akan and Ewe Ethnic Groups
   in Ghana
SO BIOMED RESEARCH INTERNATIONAL
LA English
DT Article
DE ethnic group; leptorrhiny; nose; platyrrhiny; rhinoplasty
ID ANATOMY
AB The distribution of nasal types has been reported to be influenced by climatic adaptation as the nose is involved in conditioning inhaled air. Previous studies have reported differential nasal types and dimensions among varying populations which is very beneficial in planning for rhinoplasty and in forensic identification. However, there is inadequate data on nasal types and dimensions of the various ethnic groups in the Ghanaian population. Since it is inappropriate to apply nasal dimensions of one ethnic group to another, the current study sought to assess the nasal types and dimensions of Akans and Ewes in the Ghanaian population. Nasal height, nasal length, nasal tip protrusion, morphological nose width, and anatomical nose width were measured from 202 participants (116 Akans and 86 Ewes) aged 18-27 years belonging to the Akan and Ewe ethnic groups. Nasal index was calculated, and the frequencies of the nasal types among the two ethnic groups were determined. Ewe significantly had greater nasal length and nasal tip protrusion than the Akans. For both ethnic groups, sexual dimorphism was observed in morphological nose width and anatomical nose width, with males having greater values than females. The platyrrhine (broad nose) nasal type was predominant among the Akan and Ewe ethnic groups. The average nasal dimensions of the Akan and Ewe ethnic groups for the Ghanaian population have been reported in the present study, which will be useful in rhinoplasty intended for individuals belonging to these ethnic groups and in identification.
C1 [Robertson, Juliet; Abaidoo, Chrissie Stansie; Okwan, Daniel Kobina; Tetteh, Joshua; Adjei-Antwi, Collins; Bempah, Samuel; Ampofo, Michael] Kwame Nkrumah Univ Sci & Technol, Sch Med & Dent, Dept Anat, Kumasi, Ghana.
C3 Kwame Nkrumah University Science & Technology
RP Robertson, J (corresponding author), Kwame Nkrumah Univ Sci & Technol, Sch Med & Dent, Dept Anat, Kumasi, Ghana.
EM esirobertson@gmail.com; chrissiestansieabaidoo@yahoo.co.uk;
   kobinahokwan@yahoo.com; joshtet@live.co.uk; collinsadjei4444@gmail.com;
   sakwapee@gmail.com; mtuffour60@gmail.com
OI Robertson, Juliet/0000-0003-3442-2749; Okwan,
   Daniel/0000-0003-0232-7376; Bempah, Samuel Kwadwo
   Peprah/0009-0000-4689-0756
CR Anderson KJ, 2008, J ANAT, V213, P210, DOI 10.1111/j.1469-7580.2008.00924.x
   Appiah N. D. K., 2023, Sri Lanka Journal of Forensic Medicine, Science Law, V14, P3, DOI [10.4038/sljfmsl.v14i1.7924, DOI 10.4038/SLJFMSL.V14I1.7924]
   Bhat M, 2020, INT J DEV BIOL, V64, P383, DOI 10.1387/ijdb.190312mb
   Chuang J, 2016, SURG J-NY, V2, pE17, DOI 10.1055/s-0036-1572360
   Drake R., 2005, Gray's Anatomy for Students, P989
   Elad D, 2008, RESP PHYSIOL NEUROBI, V163, P121, DOI 10.1016/j.resp.2008.05.002
   Ewunonu E.O., 2013, Human Biology, V2, P314
   Farkas LG, 2005, J CRANIOFAC SURG, V16, P615, DOI 10.1097/01.scs.0000171847.58031.9e
   Lee JH, 2024, J PERS MED, V14, DOI 10.3390/jpm14040415
   Maalman R S.-E., 2017, International Journal of Anatomy and Research, V5, P4129, DOI [10.16965/ijar.2017.268, DOI 10.16965/IJAR.2017.268]
   Oladipo GS, 2007, SCI RES ESSAYS, V2, P20
   Oladipo GS, 2009, Int J Med Med Sci, V1, P135
   Radha K., 2023, Indian Journal of Clinical Anatomy and Physiology, V6, P201
   Rohrich RJ, 2011, PLAST RECONSTR SURG, V128, p49E, DOI 10.1097/PRS.0b013e31821e7191
   Rushikesh P., 2021, Journal of Forensic and Legal Medicine, V12, P476
   Sarkodie FK, 2022, EGYPT J FORENSIC SCI, V12, DOI 10.1186/s41935-022-00289-z
   Sharma S, 2023, J CLIN DIAGN RES, V17, pYC6, DOI 10.7860/JCDR/2023/58570.17325
   Sinnatamby C. S., 2011, International Edition: Regional and Applied, P349
   Suhk J, 2015, SEMIN PLAST SURG, V29, P219, DOI 10.1055/s-0035-1564817
   Wolf M, 2004, J LARYNGOL OTOL, V118, P87, DOI 10.1258/002221504772784504
NR 20
TC 0
Z9 0
U1 0
U2 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2314-6133
EI 2314-6141
J9 BIOMED RES INT
JI Biomed Res. Int.
PD AUG 2
PY 2024
VL 2024
AR 7508791
DI 10.1155/2024/7508791
PG 6
WC Biotechnology & Applied Microbiology; Medicine, Research & Experimental
WE Emerging Sources Citation Index (ESCI)
SC Biotechnology & Applied Microbiology; Research & Experimental Medicine
GA C3H6I
UT WOS:001288298100001
PM 39130534
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Acarer, A
AF Acarer, Ahmet
TI A scenario-driven strategy for future habitat management of the Andean
   bear
SO JOURNAL OF WILDLIFE AND BIODIVERSITY
LA English
DT Article
DE Andean bear; Chelsa climate; modeling and mapping; planning; wildlife
ID TREMARCTOS-ORNATUS; MAXIMUM-ENTROPY; CLIMATE-CHANGE; FOOD; SELECTION;
   AVAILABILITY; RANGE
AB Today, climate adaptation strategies are at the forefront in wildlife management and protection studies. This study aimed to model and map the effects of global climate change on the Andean bear, which is in the vulnerable category and distributed in South America. For this purpose, 20 environmental variables and 19 high-resolution Chelsa climate maps that could be effective on Andean bear modeling were created. Moreover, the Maximum Entropy method, which is frequently preferred in species distribution modeling, was preferred. The current habitat suitability model of the Andean bear was in the "very good" model category with the training data set ROC value of 0.973 and the test data set ROC value of 0.972. The variables contributing to the current model are roughness index (41.1%), isothermality (38%), elevation (14%), and annual mean temperature (6.9%), respectively. Variables contributing to the current Andean bear model have been simulated in different scenarios (SSP126/SSP370/SSP585) for the year 2100. However, it has been determined that Andean bear habitats will shrink according to the SSP126 Chelsa climate scenario of the year 2100, these habitats will fragment according to the SSP370 scenario, and brown bear habitats will disappear in some regions in the SSP585 scenario. In conclusion, this study raises alarms that the possible decrease in Andean bear habitats will be approximately 67.3% by the year 2100 due to global climate change.
C1 [Acarer, Ahmet] Isparta Univ Appl Sci, Dept Wildlife Ecol & Management, Fac Forestry, Isparta, Turkiye.
C3 Isparta University of Applied Sciences
RP Acarer, A (corresponding author), Isparta Univ Appl Sci, Dept Wildlife Ecol & Management, Fac Forestry, Isparta, Turkiye.
EM aacarer32@gmail.com
RI ACARER, AHMET/JDD-8632-2023
OI ACARER, Dr. Ahmet/0000-0003-0864-7880
CR Acarer A, 2024, SUMAR LIST, V148, DOI 10.31298/sl.148.7-8.5
   Acarer A, 2024, SUMAR LIST, V148, DOI 10.31298/sl.148.5-6.4
   Acarer A, 2024, BIORESOURCES, V19, P3845, DOI 10.15376/biores.19.2.3845-3856
   Acarer A, 2024, CERNE, V30, DOI 10.1590/01047760202430013305
   Andrade S. E., 2004, Doctoral dissertation
   Aurich-Rodriguez F, 2022, MAMM BIOL, V102, P177, DOI 10.1007/s42991-021-00217-z
   Baldwin RA, 2009, ENTROPY, V11, P854, DOI 10.3390/e11040854
   Ballari SA, 2014, MAMMAL REV, V44, P124, DOI 10.1111/mam.12015
   Cabezas C. R., 2022, Revista Ecuatoriana de Medicina y Ciencias Biologicas, V43, P23, DOI [10.26807/remcb.v43i2, DOI 10.26807/REMCB.V43I2]
   Castellanos A, 2011, URSUS, V22, P65, DOI 10.2192/URSUS-D-10-00006.1
   Castrillón-Hoyos L, 2023, J NAT CONSERV, V73, DOI 10.1016/j.jnc.2023.126409
   Cuesta Francisco, 2003, Ursus (Knoxville), V14, P198
   Eidt R. C., 1969, The climatology of south America, P54
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Engler R, 2004, J APPL ECOL, V41, P263, DOI 10.1111/j.0021-8901.2004.00881.x
   Ertugrul Emrah Tagi, 2017, Turkish Journal of Forestry, V18, P149
   Figueroa J, 2016, REV MEX BIODIVERS, V87, P230, DOI 10.1016/j.rmb.2016.01.008
   García-Rangel S, 2012, MAMMAL REV, V42, P85, DOI 10.1111/j.1365-2907.2011.00207.x
   Garreaud RD, 2009, PALAEOGEOGR PALAEOCL, V281, P180, DOI 10.1016/j.palaeo.2007.10.032
   GBIF, 2024, Global Biodiversity Information Facility, DOI [10.15468/dl.rac257, DOI 10.15468/DL.RAC257]
   Goldstein I, 2006, URSUS, V17, P8, DOI 10.2192/1537-6176(2006)17[8:ABCAR]2.0.CO;2
   Huanca J. C. Y., 2022, Revista Estudiantil Agro-Vet, V6, P99
   IUCN, 2024, International Union for Conservation of Nature and Natural Resources: The IUCN Red List of Threatened Species, Version 2021-3
   Jorgenson JP, 2005, URSUS, V16, P108, DOI 10.2192/1537-6176(2005)016[0108:ABMNAI]2.0.CO;2
   Karger Dirk N, 2018, Dryad
   Karger DN, 2023, CLIM PAST, V19, P439, DOI 10.5194/cp-19-439-2023
   Labraga JC, 2009, J ARID ENVIRON, V73, P154, DOI 10.1016/j.jaridenv.2008.03.016
   MCNAB BK, 1963, AM NAT, V97, P133, DOI 10.1086/282264
   Mert A., 2018, Bilge International Journal of Science and Technology Research, V2, P110, DOI [10.30516/bilgesci.399248, DOI 10.30516/BILGESCI.399248]
   Mert A., 2017, Bilge International Journal of Science and Technology Research, V1, P16
   Meybeck M, 2001, MT RES DEV, V21, P34, DOI 10.1659/0276-4741(2001)021[0034:ANTFMA]2.0.CO;2
   Mori GM, 2020, ANIMALS-BASEL, V10, DOI 10.3390/ani10101816
   Morales-Barbero J, 2019, METHODS ECOL EVOL, V10, P212, DOI 10.1111/2041-210X.13124
   Oruc MS., 2017, Bilge International Journal of Science and Technology Research, V1, P135
   Osterman WHA, 2021, URSUS, V32, DOI 10.2192/URSUS-D-20-00005.3
   Ozcelik R., 2006, Turkish Journal of Forestry, V7, P23
   Ozdemir S., 2024, Gazi University Journal of Science, V37, P1056, DOI [10.35378/gujs.1336792, DOI 10.35378/GUJS.1336792]
   Özdemir S, 2024, POL J ENVIRON STUD, V33, P1325, DOI 10.15244/pjoes/166353
   OzdemIr Serkan, 2020, Biological Diversity and Conservation, V13, P361
   Ozkan K., 2012, Suleyman Demirel Universitesi Orman Fakultesi Dergisi Seri A, V13, P1
   Paisley S, 2006, J ZOOL, V268, P25, DOI 10.1111/j.1469-7998.2005.00019.x
   Pelletier JD, 2015, EARTHS FUTURE, V3, P220, DOI 10.1002/2014EF000290
   Peyton B, 1998, URSUS-SERIES, V10, P87
   PEYTON B, 1980, J MAMMAL, V61, P639, DOI 10.2307/1380309
   Peyton Bernard, 1999, P157
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2004, P 21 INT C MACH LEAR, P655, DOI DOI 10.1145/1015330.1015412
   Randall DA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P589
   Reher S, 2016, J MAMMAL, V97, P1543, DOI 10.1093/jmammal/gyw105
   Ríos-Uzeda B, 2006, J ZOOL, V268, P271, DOI 10.1111/j.1469-7998.2005.00013.x
   Servheen C., 1999, Bears: status survey and conservation action plan, V44
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tekin S., 2019, Master's thesis
   Uzal A, 2013, EUR J WILDLIFE RES, V59, P563, DOI 10.1007/s10344-013-0705-z
   Velez-Liendo X, 2013, URSUS, V24, P127, DOI 10.2192/URSUS-D-12-00027R4.1
   Yerena E, 1998, URSUS-SERIES, V10, P101
   Yerena E., 1993, Flora, Fauna, y Areas Silvestres (FAO/PNUMA), V7, P32
   Yost AC, 2008, ECOL INFORM, V3, P375, DOI 10.1016/j.ecoinf.2008.08.004
NR 58
TC 0
Z9 0
U1 1
U2 1
PU ARAK UNIV, ARAK
PI ARAK
PA DEPT ENVIRONMENTAL SCIENCES, FAC AGRICULTURE & NATURAL RESOURCES, ARAK,
   00000, IRAN
EI 2588-3526
J9 J WILDLIFE BIODIVERS
JI J. Wildl. Biodivers.
PY 2024
VL 8
IS 4
BP 56
EP 77
DI 10.5281/zenodo.13822908
PG 22
WC Biodiversity Conservation; Ecology
WE Emerging Sources Citation Index (ESCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA I6K1R
UT WOS:001331319200006
DA 2025-01-10
ER

PT J
AU Posavec, S
   Barcic, D
   Vuletic, D
   Vucetic, V
   Tomasevic, IC
   Malovrh, SP
   Bell, S
AF Posavec, Stjepan
   Barcic, Damir
   Vuletic, Dijana
   Vucetic, Visnjica
   Cavlina Tomasevic, Ivana
   Pezdevsek Malovrh, Spela
   Bell, Simon
TI Forest Fires, Stakeholders' Activities, and Economic Impact on
   State-Level Sustainable Forest Management
SO SUSTAINABILITY
LA English
DT Article
DE forest policy; management costs; forest ecosystem services; forest
   protection; Fire Weather Index
ID DISTURBANCES; EUROPE
AB In Europe, forest fires are a serious and constant threat. They destroy forests and forest land, causing damage, financial loss, and long-lasting impacts on forest ecosystem services. There are several ways to decrease the number of forest fires, including continuous investment in fire prevention measures and the intensive implementation of adaptive sustainable forest management measures, which need additional financial resources. In many cases, forest management activities in karst forests are not implemented in a timely manner and in coordination with other stakeholders. A comprehensive study about the impact of forest fires on different economic activities (tourism and protected areas) is not currently available. In this study, the legislative framework in Croatia was analysed in relation to the fire protection activities and jurisdictions of different institutions. From data collected in the period 2013-2020, the first-age class afforestation costs and growing stock assortment value were calculated, and the non-wood forest functions were estimated. The aforementioned data were further compared to the Fire Weather Index (FWI) and Seasonal Severity Rating (SSR) of fire seasons. The total estimated damage is EUR 326,810,724.72. The research emphasises the need for the implementation of cross-sectoral forest policy measures. The state forest company should allocate more financial resources for biological forest restoration in the future. Forest management practices should implement climate-adaptable silviculture measures to preserve forest and forest land.
C1 [Posavec, Stjepan; Barcic, Damir] Univ Zagreb, Fac Forestry & Wood Technol, Zagreb 10000, Croatia.
   [Vuletic, Dijana] Croatian Forest Res Inst, Jastrebarsko 10450, Croatia.
   [Vucetic, Visnjica] Croatian Meteorol & Hydrol Serv, Zagreb 10000, Croatia.
   [Cavlina Tomasevic, Ivana] Univ Ljubljana, Biotech Fac, Dept Forestry & Renewable Forest Resources, Ljubljana 1000, Slovenia.
C3 University of Zagreb; Croatian Forest Research Institute; University of
   Ljubljana
RP Posavec, S (corresponding author), Univ Zagreb, Fac Forestry & Wood Technol, Zagreb 10000, Croatia.
EM sposavec@sumfak.unizg.hr
RI Vuletić, Dijana/ABD-4365-2020
OI Vuletic, Dijana/0000-0003-4631-7604; Posavec,
   Stjepan/0000-0002-1902-2168
CR Anic M., 2021, Meteoroloska Analiza Opasnosti od Pozara Raslinja u Hrvatskoj u 2021. Godini, P86
   [Anonymous], 2016, Ordinance on the Determination of Compensation for Transferred and Restricted Rights to Forests and Forest Lands
   [Anonymous], 2019, OG 14/19, 98/19
   [Anonymous], The EU Biodiversity Strategy to 2020
   [Anonymous], 2019, OG 68/18, 115/18, 98/19
   [Anonymous], 2018, OG 82/15,118/18
   [Anonymous], 2019, OG 16/19
   [Anonymous], 2012, OG 51/12
   [Anonymous], 2007, OG 79/07
   [Anonymous], 2014, OG 33/14
   [Anonymous], 2010, OG 108/95, 56/10
   [Anonymous], 2010, OG 80/10, 125/19
   [Anonymous], 2020, OG 46/20
   [Anonymous], 2014, OG 92/14
   [Anonymous], 2017, OG 70/17
   [Anonymous], 2002, OG 46/02
   [Anonymous], 2018, OG 118/18
   [Anonymous], 2017, OG 72/17
   [Anonymous], 1996, OG 6/96
   [Anonymous], 2019, OG 80/13, 15/18, 14/19
   [Anonymous], 2016, General Forest Management Plan 20162025
   [Anonymous], 2022, Croatian Government Report on the State of Fire Protection in the Republic of Croatia
   [Anonymous], EFFIS-Statistics Portal EU
   [Anonymous], 2010, OG 92/10
   [Anonymous], 2003, OG 120/2003
   [Anonymous], 2021, Communication from the Commission to the European Parliament and the Council: Business Taxation for the 21st Century
   [Anonymous], 2009, OG 30/09
   [Anonymous], 2019, OG 47/19
   [Anonymous], 2021, European Commission New EU Forest Strategy for 2030, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Region, P572
   [Anonymous], 2019, OG 20/18 115/18, 98/19
   Barcic D, 2020, SEEFOR-SOUTH-EAST EU, V11, P161, DOI [10.15177/seefor.20-16, 10.15177/seefor.20-16.]
   Baresic D., 2011, Utjecaj Klimatskih Promjena na Potencijalnu Opasnost od Pozara Raslinja u Hrvatskoj, Diplomski Rad, Geofizicki Odsjek Prirodoslovno-Matematickog Fakulteta, P56
   Bilandzija J., 1993, Radovi - Sumarski Institut Jastrebarsko, V28, P215
   Bureau S.M.E.E, Shenzhen Releases Biodiversity Conservation Action Plan
   Camia A., 2008, Past and Future Trends of Forest Fire Danger in Europe, JRC Scientific and Technical Reports, P6
   Cavlovic J., 2010, Prva Nacionalna Inventura Suma u Republici Hrvatskoj. Sumarski Fakultet SVEUCILISTA u Zagrebu i MRRSVG, P300
   Cindric K., 2019, Meteorology and Climatology of the Mediterranean and Black Seas, Pageoph Topical Volumes, P171, DOI [10.1007/978-3-030-11958-4_11, DOI 10.1007/978-3-030-11958-4_11]
   Croatian Government, 2013, National Fire Protection Strategy for the Period from 2013 to 2022 (OG 68/13)
   Croatian Government, 2023, Program of Activities in the Implementation of Special Fire Protection Measures of Interest to the Republic of Croatia in Year
   de Rigo D., 2017, JRC Science Hub, DOI [10.2760/13180, DOI 10.2760/13180]
   Dimitrov T., 1982, Osnove Zastite Suma od Pozara, P181
   EURONEWS, 2019, There Three Times More Wildfires in the EU so far This Year
   EURONEWS Lenarcic J., 2023, The European Commission for Crisis Management
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   European Commission, 2017, COM (2017) 773
   European Commission Commission, Report on Forest Fires: Climate Change Is More Noticeable Every Year
   European Environmental Agency, 2021, EEA Report No 01/2021
   European Parliament Council of the European Union, 2014, Off. J. Eur. Union, V57, P44
   Feist O., 2011, Analiza Toplinskog Stresa za Potrebe Poljodjelstva u Hrvatskoj u Proslim, Sadasnjim i Buducim Klimatskim Uvjetima, Diplomski Rad, Geofizicki Odsjek Prirodoslovno-Matematickog Fakulteta, P53
   Ferina J., 2018, Ocjena Pozarne Sezone u Hrvatskoj u 2017. Godini, P87
   Fernandes PM, 2013, LANDSCAPE URBAN PLAN, V110, P175, DOI 10.1016/j.landurbplan.2012.10.014
   Fernández-García V, 2019, FOREST ECOL MANAG, V444, P59, DOI 10.1016/j.foreco.2019.04.040
   Frost SM, 2020, FIRE-BASEL, V3, DOI 10.3390/fire3010006
   Ganteaume A, 2021, J SAF SCI RESIL, V2, P20, DOI 10.1016/j.jnlssr.2021.01.001
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Hrvatske Sume d.o.o., 2021, Business Report
   Janota JJ, 2008, FOREST POLICY ECON, V10, P89, DOI 10.1016/j.forpol.2007.06.001
   Krznar A., 2000, Radovi - Sumarski Institut Jastrebarsko, V35, P65
   Leone V., 2002, 4 INT C FOREST FIRE
   Merlo M, 2005, VALUING MEDITERRANEAN FORESTS: TOWARDS TOTAL ECONOMIC VALUE, P1, DOI 10.1079/9780851999975.0000
   Mifka B., 2012, Vatrog. I Upravlj. Pozarima, V3, P13
   Mikac S., 2018, KONFERENCIJA HRVATSK, P162
   mingor, Croatian Government Regulation on Protected Areas
   Molina JR, 2019, FORESTS, V10, DOI 10.3390/f10080679
   Moreira F, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab541e
   Nedeljkovic J, 2019, SUMAR LIST, V143, P445, DOI 10.31298/sl.143.9-10.6
   Nunez-Mir GC, 2017, J FOREST, V115, P1, DOI 10.5849/jof.15-144
   Pausas JG, 2019, BIOSCIENCE, V69, P143, DOI 10.1093/biosci/biy157
   Posavec S., 2008, The Multifunctional Role of ForestsPolicies, Methods and Case Studies, EFI Proceedings, P313
   Prpic B., 1992, Sumarski List, V68, P301
   Republic of Croatia Croatian Firefighting Association, 2020, Konacno Izvjesce o Realizaciji Programa Aktivnosti u Provedbi Posebnih Mjera Zastite od Pozara od Interesa za Republiku Hrvatsku u 2020
   Richardson D. M., 1999, Ecology and Biogeography of Pinus, P3
   Rosavec R, 2022, FORESTS, V13, DOI 10.3390/f13081266
   San Miguel-Ayanz J., 2018, JRC TECHNICAL REPORT
   San-Miguel-Ayanz J., 2022, Advance Report on Wildfires in Europe, Middle East and North Africa 2021, EUR 31028 EN, DOI [10.2760/039729, DOI 10.2760/039729]
   Schelhaas MJ, 2003, GLOBAL CHANGE BIOL, V9, P1620, DOI 10.1046/j.1365-2486.2003.00684.x
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Stipanicev D., 2022, Advances in Forest Fire Research 2022, Domingos Xavier Viegas, Luis Mario Ribeiro, P216, DOI [10.14195/978-989-26-2298-9_35, DOI 10.14195/978-989-26-2298-9_35]
   The Emergency Response Coordination Centre European Commission, 2017, COM (2017) 773, P773
   Tomasevic I., 2015, Ocjena Pozarne Sezone u Hrvatskoj u 2014. Godini, P72
   Tomasevic IC, 2022, NAT HAZARD EARTH SYS, V22, P3143, DOI 10.5194/nhess-22-3143-2022
   Tomasevic IC, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13050755
   United Nations Framework Convention on Climate Change (UNFCCC), 2018, UN Climate Change Annual Report, P62
   Van Wagner CE., 1985, CANADIAN FOREST SERV
   Viegas DX, 1998, LARGE FOREST FIRES, P31
   Vucetic V., 2007, Hrvat. Meteoroloski Casopis, V42, P41
   Vucetic V., 2021, Agroklimatski atlas Hrvatske u razdoblju 1991.-2020. Povodom 70 godina osnutka agrometeoroloske sluzbe u DMHZ, P241
   Vuletic D., 2000, The Evaluation Results of the Benefits of the Health and Landscape Forests Functions, Rezultati Vrednovanja Koristnosti Zdravstvene i Krajobrazne Funkcije Sume, XXI IUFRO World Congress, Forest and Ocietiy: The Role of Research, 712 August 2000, V3, P325
NR 89
TC 6
Z9 6
U1 6
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2023
VL 15
IS 22
AR 16080
DI 10.3390/su152216080
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 AQ6P7
UT WOS:001119969200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Sovacool, BK
   Baum, CM
   Low, S
AF Sovacool, Benjamin K.
   Baum, Chad M.
   Low, Sean
TI Beyond climate stabilization: Exploring the perceived sociotechnical
   co-impacts of carbon removal and solar geoengineering
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Negative emissions; Net -zero emissions; Carbon dioxide removal;
   Greenhouse gas removal; Solar radiation management; Climate justice
ID PUBLIC PERCEPTIONS; SCIENCE; BENEFITS
AB The scientific literature on the co-impacts of low-carbon energy systems-positive and negative side effects-has focused intently on climate mitigation, or climate adaptation. It has not systematically examined the prospective co-impacts of carbon removal (or negative emissions) and solar geoengineering. Based on a large sample of diverse expert interviews (N = 125), and using a sociotechnical approach, in this study we identify 107 perceived co-impacts related to the deployment of carbon removal and solar geoengineering technologies. Slightly less than half (52) were identified as positive co-impacts (38 for carbon removal, 14 for solar geoengineering), whereas slightly more than half (55) were identified as negative co-impacts (31 for carbon removal, 24 for solar geoengineering). We then discuss 20 of these co-impacts in more depth, including positive co-impacts for naturebased protection, the expansion of industry, and reduction of poverty or heat stress as well as negative coimpacts for water insecurity, moral hazard, limited social acceptance and path dependence. After presenting this body of evidence, the paper then discusses and theorizes these co-impacts more deeply in terms of four areas: relationality and risk-risk trade-offs, co-deployment and coupling, intentional or unintentional implications, and expert consensus and dissensus. It concludes with more general insights for energy and climate research, and policy.
C1 [Sovacool, Benjamin K.; Baum, Chad M.; Low, Sean] Aarhus Univ, Ctr Energy Technol, Dept Business Dev & Technol, Aarhus, Denmark.
   [Sovacool, Benjamin K.] Univ Sussex Business Sch, Sci Policy Res Unit SPRU, Falmer, England.
   [Sovacool, Benjamin K.] Boston Univ, Dept Earth & Environm, Boston, MA USA.
   [Sovacool, Benjamin K.] Univ Sussex, Sci Policy Res Unit SPRU, Jubilee Bldg,Room 367, Falmer BN1 9SL, E Sussex, England.
C3 Aarhus University; Boston University; University of Sussex
RP Sovacool, BK (corresponding author), Univ Sussex, Sci Policy Res Unit SPRU, Jubilee Bldg,Room 367, Falmer BN1 9SL, E Sussex, England.
EM B.Sovacool@sussex.ac.uk
RI Low, Sean/KOF-0469-2024; Baum, Chad/AAG-8008-2019; Sovacool,
   Benjamin/Y-2392-2019
OI Low, Sean/0000-0002-3654-5964; Baum, Chad M./0000-0002-6513-5518
FU European Union [951542-GENIE-ERC2020-SyG]; "GeoEngineering and NegatIve
   Emissions pathways in Europe" (GENIE)
FX This project has received funding from the European Union's Horizon 2020
   research and innovation programme under the European Research Council
   (ERC) Grant Agreement No. 951542-GENIE-ERC2020-SyG, "GeoEngineering and
   NegatIve Emissions pathways in Europe" (GENIE). The content of this
   deliverable does not reflect the official opinion of the European Union.
   Responsibility for the information and views expressed herein lies
   entirely with the author(s).
CR Anderson K, 2016, SCIENCE, V354, P182, DOI 10.1126/science.aah4567
   Andrews TM, 2022, ECOL ECON, V196, DOI 10.1016/j.ecolecon.2022.107421
   [Anonymous], 2021, REFLECTING SUNLIGHT, DOI DOI 10.17226/25762
   Babiker M., 2022, IPCC 2022 CLIMATE CH
   Barrett S, 2014, NAT CLIM CHANGE, V4, P527, DOI 10.1038/nclimate2278
   Baum CM, 2022, RENEW SUST ENERG REV, V158, DOI 10.1016/j.rser.2022.112179
   Biermann F, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.754
   Buck HJ, 2020, ONE EARTH, V3, P425, DOI 10.1016/j.oneear.2020.09.008
   Burns ET, 2016, EARTHS FUTURE, V4, P536, DOI 10.1002/2016EF000461
   Caldeira K, 2013, ANNU REV EARTH PL SC, V41, P231, DOI 10.1146/annurev-earth-042711-105548
   Chabba M, 2022, ECOL ECON, V198, DOI 10.1016/j.ecolecon.2022.107462
   Cox E, 2020, NAT CLIM CHANGE, V10, P744, DOI 10.1038/s41558-020-0823-z
   Delina LL, 2021, ENVIRON RES COMMUN, V3, DOI 10.1088/2515-7620/ac3dc1
   Fan YC, 2021, NAT FOOD, V2, P373, DOI 10.1038/s43016-021-00278-w
   Floater G., 2016, COBENEFITS URBAN CLI
   Fuss S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf9f
   Heikkurinen P, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.106369
   Henderson JD, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106491
   Heutel G, 2016, J ECON BEHAV ORGAN, V132, P19, DOI 10.1016/j.jebo.2016.07.002
   Horton JB, 2016, INT STUD REV, V18, P438, DOI 10.1093/isr/viv013
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jinnah S, 2019, NAT GEOSCI, V12, P876, DOI 10.1038/s41561-019-0483-7
   Jobin M, 2020, RISK ANAL, V40, P1058, DOI 10.1111/risa.13462
   Kala J, 2020, WEATHER CLIM EXTREME, V30, DOI 10.1016/j.wace.2020.100282
   Kragt ME, 2016, ECOL ECON, V126, P125, DOI 10.1016/j.ecolecon.2016.02.018
   Kravitz B, 2021, NAT FOOD, V2, P320, DOI 10.1038/s43016-021-00277-x
   Leimbach M, 2010, ECOL ECON, V69, P2341, DOI 10.1016/j.ecolecon.2010.06.023
   Low S, 2022, ENERGY RES SOC SCI, V90, DOI 10.1016/j.erss.2022.102594
   Mathy S, 2018, ECOL ECON, V150, P273, DOI 10.1016/j.ecolecon.2018.04.012
   McLaren D, 2020, CLIMATIC CHANGE, V162, P2411, DOI 10.1007/s10584-020-02732-3
   Merk C, 2019, GAIA, V28, P348, DOI 10.14512/gaia.28.4.6
   Minx JC, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf9b
   Moretti M, 2021, ECOL ECON, V185, DOI 10.1016/j.ecolecon.2021.107058
   Nemet GF, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabff4
   Pamplany A, 2020, SCI ENG ETHICS, V26, P3069, DOI 10.1007/s11948-020-00258-6
   Pindilli E, 2018, ECOL ECON, V154, P145, DOI 10.1016/j.ecolecon.2018.08.002
   Popp A, 2012, ECOL ECON, V74, P64, DOI 10.1016/j.ecolecon.2011.11.004
   Raimi KT, 2021, CURR OPIN PSYCHOL, V42, P66, DOI 10.1016/j.copsyc.2021.03.012
   Robock A., 2020, Bridge, V50, P59
   Robock A, 2008, B ATOM SCI, V64, P14, DOI 10.1080/00963402.2008.11461140
   Robock A, 2016, EARTHS FUTURE, V4, P644, DOI 10.1002/2016EF000407
   Robock A, 2014, ISS ENVIRON SCI TECH, V38, P162
   Robock A, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039209
   Russell LM, 2012, AMBIO, V41, P350, DOI 10.1007/s13280-012-0258-5
   Sareen S, 2021, ECOL ECON, V185, DOI 10.1016/j.ecolecon.2021.107056
   Seyfang G, 2019, ECOL ECON, V156, P224, DOI 10.1016/j.ecolecon.2018.09.014
   Smith W, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba7e7
   Sovacool BK, 2021, ENERGY STRATEG REV, V35, DOI 10.1016/j.esr.2021.100656
   Sovacool BK, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106529
   Stergiou E, 2022, ECOL ECON, V195, DOI 10.1016/j.ecolecon.2022.107377
   Ürge-Vorsatz D, 2014, ANNU REV ENV RESOUR, V39, P549, DOI 10.1146/annurev-environ-031312-125456
NR 51
TC 9
Z9 9
U1 5
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2023
VL 204
AR 107648
DI 10.1016/j.ecolecon.2022.107648
EA OCT 2022
PN A
PG 18
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 6Q0IL
UT WOS:000891305300007
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Pollo, A
   Piccini, I
   Chiara, J
   Porro, E
   Chiantore, D
   Gili, F
   Alba, R
   Barbi, A
   Bogliani, G
   Bagliani, M
   Doretto, A
   Ruffino, C
   Malenotti, E
   Garazzino, A
   Pelosini, R
   Siniscalco, C
   Bonelli, S
AF Pollo, Alessandra
   Piccini, Irene
   Chiara, Jacopo
   Porro, Elena
   Chiantore, Daniela
   Gili, Fabrizio
   Alba, Riccardo
   Barbi, Andrea
   Bogliani, Giuseppe
   Bagliani, Marco
   Doretto, Alberto
   Ruffino, Carlo
   Malenotti, Elisa
   Garazzino, Agostina
   Pelosini, Renata
   Siniscalco, Consolata
   Bonelli, Simona
TI An Innovative Approach for Subnational Climate Adaptation of
   Biodiversity and Ecosystems: The Case Study of a Regional Strategy in
   Italy
SO SUSTAINABILITY
LA English
DT Article
DE adaptation strategies; adaptation plans; adaptive measures; biodiversity
   conservation; climate change; climate impacts; expert elicitation;
   expert-based evaluation; participatory approach
ID EXPERT ELICITATION; KNOWLEDGE; SCIENCE; TRENDS
AB Since climate change impacts are already occurring, urgent adaptive actions are necessary to avoid the worst damages. Regional authorities play an important role in adaptation, but they have few binding guidelines to carry out strategies and plans. Sectoral impacts and adaptive measures strongly differ between regions; therefore, specific results for each territory are needed. Impacts are often not exhaustively reported by literature, dataset and models, thus making it impossible to objectively identify specific adaptive measures. Usual expert elicitation helps to fill this gap but shows some issues. For the Piedmont Strategy, an innovative approach has been proposed, involving experts of private and public bodies (regional authorities, academia, research institutes, parks, associations, NGOs, etc.). They collaborated in two work group, first to identify current and future impacts on biodiversity and ecosystems, and secondly to elaborate and prioritize measures. Involving 143 experts of 46 affiliations, it was possible to quickly edit a cross-validated list of impacts (110) and measures (92) with limited costs. Lastly, a public return of results took place. This approach proved to be effective, efficient and influenced the policymakers, overcoming the tendency to enact long-term actions to face climate change. It could be used internationally by subnational authorities also in other sectors.
C1 [Pollo, Alessandra; Piccini, Irene; Gili, Fabrizio; Alba, Riccardo; Siniscalco, Consolata; Bonelli, Simona] Univ Turin, Dept Life Sci & Syst Biol DBIOS, I-10123 Turin, Italy.
   [Chiara, Jacopo; Porro, Elena; Chiantore, Daniela; Malenotti, Elisa; Garazzino, Agostina] Reg Piemonte, I-10122 Turin, Italy.
   [Barbi, Andrea] Univ Ghent, Dept Pathobiol Pharmacol & Zool Med, B-9820 Merelbeke, Belgium.
   [Bogliani, Giuseppe] Univ Pavia, Dept Earth & Environm Sci, I-27100 Pavia, Italy.
   [Bagliani, Marco] Univ Turin, Dept Econ & Stat Cognetti de Martiis, I-10153 Turin, Italy.
   [Doretto, Alberto] Univ Piemonte Orientale, Dept Sustainable Dev & Ecol Transit DiSSTE, I-13100 Vercelli, Italy.
   [Ruffino, Carlo] Univ Sassari, Dept Vet Med, I-07100 Sassari, Italy.
   [Pelosini, Renata] Agenzia Reg Protez Ambientale ARPA Piemonte, I-10135 Turin, Italy.
C3 University of Turin; Ghent University; University of Pavia; University
   of Turin; University of Eastern Piedmont Amedeo Avogadro; University of
   Sassari; Regional Environmental Protection Agency - Italy
RP Pollo, A (corresponding author), Univ Turin, Dept Life Sci & Syst Biol DBIOS, I-10123 Turin, Italy.
EM alessandra.pollo@unito.it; irene.piccini@unito.it;
   jacopo.chiara@regione.piemonte.it; elena.porro@regione.piemonte.it;
   daniela.chiantore@regione.piemonte.it; fabrizio.gili@unito.it;
   riccardo.alba@unito.it; andrea.barbi@ugent.be;
   giuseppe.bogliani@unipv.it; marco.bagliani@unito.it;
   alberto.doretto@uniupo.it; c.ruffino@studenti.uniss.it;
   elisa.malenotti@regione.piemonte.it;
   agostina.garazzino@regione.piemonte.it; r.pelosini@arpa.piemonte.it;
   consolata.siniscalco@unito.it; simona.bonelli@unito.it
RI bonelli, simona/I-4682-2012; piccini, irene/AAS-6176-2021; Barbi,
   Andrea/KHZ-7253-2024; Pelosini, Renata/KII-6990-2024; Bagliani,
   Marco/L-9652-2019; Bogliani, Giuseppe/IUO-9260-2023; Gili,
   Fabrizio/HTN-1367-2023; Alba, Riccardo/JCO-2222-2023
OI Bogliani, Giuseppe/0000-0001-9066-6540; Alba,
   Riccardo/0000-0002-7548-8173; Pollo, Alessandra/0000-0002-4443-1991;
   Barbi, Andrea/0000-0002-1710-8005; Piccini, Irene/0000-0001-8468-2587;
   Gili, Fabrizio/0000-0002-1817-0193; DORETTO, ALBERTO/0000-0002-4105-473X
FU Fondazione Giovanni Goria; Fondazione CRT
FX This research was funded by Fondazione Giovanni Goria and Fondazione CRT
   thanks to the scholarship of the project "Talenti della Societa Civile".
   Via Carducci 43, 14100 Asti.
CR Adams-Hosking C, 2016, DIVERS DISTRIB, V22, P249, DOI 10.1111/ddi.12400
   Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   Amesho KTT, 2022, J ENERGY SOUTH AFR, V33, P86, DOI [10.17159/2413-3051/2022/v33i1a8362, 10.17159/2413-3051/2022/v33i1a9261]
   [Anonymous], 2012, IUCN RED LIST CAT VE
   [Anonymous], 2021, Off. J. Eur. Union, VL243, P1
   [Anonymous], 2015, Paris Agreement to the United Nations Framework Convention on Climate Change
   [Anonymous], CONVENTION ACCESS IN, V25, P1998
   Arduino S., 2006, BIODIVERSITY VISION
   ARPA Piemonte Regione Piemonte SNPA, 2020, AN SCEN CLIM REG PER
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Benito-Garzón M, 2013, RESTOR ECOL, V21, P530, DOI 10.1111/rec.12032
   Beutel RG, 2014, INSECT MORPHOLOGY AND PHYLOGENY: A TEXTBOOK FOR STUDENTS OF ENTOMOLOGY, P117
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Bogliani Giuseppe, 2017, Natural History Sciences, V4, P3, DOI 10.4081/nhs.2017.343
   Brambilla M, 2020, BIRD CONSERV INT, V30, P522, DOI 10.1017/S0959270920000027
   Burgman M., 2005, Risks and decisions for conservation and environmental management
   Chatziioannou I, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410420
   Corfee-Morlot J., 2009, OECD Environment Working Papers
   Dessai S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabcdd
   European Commission, 2013, STUD AD ACT REG LEV
   European Commission, 2021, COMM COMM EUR PARL C
   European Commission, 2009, NAT ROL CLIM CHANG
   Flari V, 2011, J NANOPART RES, V13, P1813, DOI 10.1007/s11051-011-0335-x
   Geijzendorffer IR, 2016, J APPL ECOL, V53, P140, DOI 10.1111/1365-2664.12552
   Gray S., 2016, 2012CCRPFS14 EPA
   Han H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104127
   Heino J, 2009, BIOL REV, V84, P39, DOI 10.1111/j.1469-185X.2008.00060.x
   Hemming V, 2018, METHODS ECOL EVOL, V9, P169, DOI 10.1111/2041-210X.12857
   Imperio S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081598
   International Energy Agency, 2020, CLIM IMP AFR HYDR
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jacobson AR, 2004, ECOLOGY, V85, P1598, DOI 10.1890/02-0753
   Knol AB, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-19
   Lapola DM, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003357
   Ledda A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093804
   Luoto M, 2008, GLOBAL CHANGE BIOL, V14, P483, DOI 10.1111/j.1365-2486.2007.01527.x
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mastrandrea M.D., 2010, Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties
   MATTM, 2015, STRAT NAZ AD CAMB CL
   Morgan MG, 2014, P NATL ACAD SCI USA, V111, P7176, DOI 10.1073/pnas.1319946111
   OECD European Commission European Training Fund and European Bank for Reconstruction and Development, 2020, SME Policy Index: Eastern Partner Countries 2020
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Pettorelli N, 2007, ECOLOGY, V88, P381, DOI 10.1890/06-0875
   PNACC, 2018, PIAN NAZ AD CAMB CLI
   Portner H, IPBES IPCC COSPONSOR, DOI [10.5281/zenodo.4782538, DOI 10.5281/ZENODO.4782538, 10.5281/zenodo.4782538.2021, DOI 10.5281/ZENODO.4782538.2021]
   Randin CF, 2009, GLOBAL CHANGE BIOL, V15, P1557, DOI 10.1111/j.1365-2486.2008.01766.x
   Ravanello L., 2018, REGIONE EMILIA ROMAG
   Regione Autonoma della Sardegna, 2019, STRAT REG AD CAMB CL
   Regione Piemonte, 2020, REP 2020 AN CLIM REG
   Regione Piemonte ARPA Piemonte, 2020, DOC IND VERS STRAT R
   Roekaerts M, 2002, BIOGEOGRAPHICAL REGI
   Runge MC, 2011, BIOL CONSERV, V144, P1214, DOI 10.1016/j.biocon.2010.12.020
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Sindaco R., 2008, La Rete Natura 2000 in PiemonteI Siti di Importanza Comunitaria
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   STRADA project, 2013, STRAT AD CAMB CLIM G
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thompson E, 2016, PHILOS SCI, V83, P1110, DOI 10.1086/687942
   Tonmoy FN, 2020, ENVIRON SCI POLICY, V108, P1, DOI 10.1016/j.envsci.2020.03.005
   Uittenbroek CJ, 2019, J ENVIRON PLANN MAN, V62, P2529, DOI 10.1080/09640568.2019.1569503
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Vindigni, 2010, STRATEGIA NAZL CONSE
   Zebisch M., 2018, RAPPORTO CLIMA ALTO
NR 64
TC 1
Z9 1
U1 0
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2022
VL 14
IS 10
AR 6115
DI 10.3390/su14106115
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 1O9PE
UT WOS:000801653600001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bazbauers, AR
AF Bazbauers, Adrian Robert
TI Translating climate strategies into action: An analysis of the
   sustainable, green, and resilient city action plans of the multilateral
   development banks
SO DEVELOPMENT POLICY REVIEW
LA English
DT Article
DE climate change; green cities; multilateral development banks; resilient
   cities; sustainable cities
ID CITIES; SMART; ADAPTATION; GOVERNANCE; CHALLENGES; POLITICS; POLICIES
AB Motivation Climate change is exposing significant urban vulnerabilities. The multilateral development banks (MDBs) have responded by devising a suite of sustainable, green, and resilient (SGR) city advisory services and lending products to prepare cities for future climate change impacts. Purpose The article comparatively analyses SGR city action plans and companion projects drafted by the MDBs. It thus evaluates the translation of analytical work into investments, reviewing what the MDBs are prioritizing and what this means for development and climate change. Methods and approach The article qualitatively analyses 124 SGR city action plans and 65 companion lending operations approved by four MDBs between 2014 and 2021, evaluating action plan documents and project appraisal, implementation, and results reports. Findings The article finds that while the SGR city action plans propose comprehensive recommendations, the companion projects narrowly focus on infrastructural upgrades that are uncertain to adequately prepare cities for future climate change impacts. Policy implications Multilateral interventions targeting climate change expanded considerably during the 2010s. The MDBs, however, continue to prioritize project-based infrastructural investments financing climate mitigation and resilience actions over more substantive climate adaptation initiatives. This article thus shows that SGR city action plans hold great potential to enact robust and inclusive climate responses but have so far been stymied by the conservatism of project-based investment lending.
C1 [Bazbauers, Adrian Robert] UNSW Canberra, Int Publ Sect Management, Canberra, ACT, Australia.
C3 University of New South Wales Sydney
RP Bazbauers, AR (corresponding author), UNSW Canberra, Int Publ Sect Management, Sch Business, Canberra, ACT, Australia.
EM a.bazbauers@unsw.edu.au
CR African Development Bank Asian Development Bank Asian Infrastructure Investment Bank European Bank for Reconstruction and Development European Investment Bank Inter-American Development Bank International Development Finance Club Islamic Development Bank, 2019, FRAM PRINC CLIM RES, DOI 10.18235/0002040
   African Development Bank Asian Development Bank European Bank for Reconstruction and Development European Investment Bank Inter-American Development Bank Islamic Development Bank World Bank Group, 2020, 2019 JOINT REP MULT
   African Development Bank Asian Development Bank European Bank for Reconstruction and Development Inter-American Development Bank, 2019, CREAT LIV CIT REG PE, DOI 10.18235/0001939
   Andersen H.T., 2013, PRODUCTION USE URBAN
   Angelo H, 2020, URBAN STUD, V57, P2201, DOI 10.1177/0042098020919081
   [Anonymous], 2021, [No title captured]
   [Anonymous], 2010, Working Paper
   [Anonymous], 2010, CITIES CLIMATE CHANG
   [Anonymous], 2011, GUID CLIM CHANG AD C
   Artmann M, 2019, ECOL INDIC, V96, P10, DOI 10.1016/j.ecolind.2017.07.001
   Asian Development Bank, 2013, BUILDING RESILIENCE
   Asian Development Bank, 2017, CLIM CHANG OP FRAM 2, DOI 10.22617/TCS178947-2
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Bagozzi BE, 2015, REV INT ORGAN, V10, P439, DOI 10.1007/s11558-014-9211-7
   Bailer S, 2015, REV INT ORGAN, V10, P43, DOI 10.1007/s11558-014-9198-0
   Barnard S., 2015, 419 ODI
   Bazbauers A.R., 2018, WORLD BANK TRANSFERR
   Bazbauers AR, 2021, ROUT EXPLOR DEV STUD, P1, DOI 10.4324/9781003007128
   Beatley T., 2014, GREEN CITIES EUROPE, DOI 10.5822/978-1-61091-175-7
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Bonilla M., 2017, CHALLENGE FINANCING
   Bouskela M., 2018, SHAPING SMART CITIES
   Breuste J.H., 2020, MAKING GREEN CITIES
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   C40 Cities, 2018, DEADL 2020
   Clapp Jennifer., 2005, Paths to a Green World: The Political Economy of the Global Environment
   Climate Action Tracker, 2020, GLOB UPD PAR AGR TUR
   Cloutier Scott, 2014, Environment Development and Sustainability, V16, P633, DOI 10.1007/s10668-013-9499-0
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   de Jong M, 2015, J CLEAN PROD, V109, P25, DOI 10.1016/j.jclepro.2015.02.004
   Derickson KD, 2018, PROG HUM GEOG, V42, P425, DOI 10.1177/0309132516686012
   Dubash NK, 2012, J ENVIRON DEV, V21, P48, DOI 10.1177/1070496511435550
   Engen Lars., 2018, A Guide to Multilateral Development Banks, V2018
   European Bank for Reconstruction and Development, 2018, IMPL EBRD GREEN EC T
   European Bank for Reconstruction and Development, 2020, EBRD GREEN CIT GREEN
   Fankhauser S, 2016, CLIM DEV, V8, P203, DOI 10.1080/17565529.2015.1064811
   Ford J., 2008, International Public Policy Review, V3, P1, DOI DOI 10.1504/IJPP.2008.017123
   Garcia-Lamarca M, 2021, URBAN STUD, V58, P90, DOI 10.1177/0042098019885330
   George S., 1994, FAITH CREDIT WORLD B
   Goldman M., 2001, Ethnography, V2, P191, DOI DOI 10.1177/14661380122230894
   Gordon DJ, 2013, CANADIAN FOREIGN POL, V19, P288, DOI 10.1080/11926422.2013.844186
   Gupta J, 2010, WIRES CLIM CHANGE, V1, P636, DOI 10.1002/wcc.67
   Gutner T., 2002, BANKING ENV MULTILAT
   Hall N, 2015, GLOBAL ENVIRON POLIT, V15, P79, DOI 10.1162/GLEP_a_00299
   Hameiri S, 2018, INT AFF, V94, P573, DOI 10.1093/ia/iiy026
   Hegazy I, 2017, INT J LOW-CARBON TEC, V12, P358, DOI 10.1093/ijlct/ctx009
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Hodson M, 2017, LOCAL ENVIRON, V22, P8, DOI 10.1080/13549839.2017.1306498
   Hodson M, 2012, EUR PLAN STUD, V20, P421, DOI 10.1080/09654313.2012.651804
   Humphrey C, 2017, REV INT ORGAN, V12, P281, DOI 10.1007/s11558-017-9271-6
   Humphrey C, 2016, J DEV STUD, V52, P92, DOI 10.1080/00220388.2015.1075978
   Humphrey C, 2014, REV INT POLIT ECON, V21, P611, DOI 10.1080/09692290.2013.858365
   Kahn M.E., 2007, Green cities: Urban growth and the environment
   Keivani R, 2010, INT J URBAN SUSTAIN, V1, P5, DOI 10.1080/19463131003704213
   Keohane, 2020, WHAT NEXT 5 YEARS HO
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Levenda AM, 2015, CAN J COMMUN, V40, P615
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Luque-Ayala A, 2015, URBAN STUD, V52, P2105, DOI 10.1177/0042098015577319
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Makuwira J., 2020, Rethinking multilateralism in foreign aid: Beyond the neoliberal hegemony, P113
   Melica G, 2018, SUSTAIN CITIES SOC, V39, P729, DOI 10.1016/j.scs.2018.01.013
   Mendez A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030972
   Meyer SusanPark., 2006, International Politics, V43, P342, DOI DOI 10.1057/PALGRAVE.IP.8800149
   Moon K, 2016, ECOL SOC, V21, DOI 10.5751/ES-08663-210317
   Murphy D., 2020, FILLING GAP REV MULT
   Nawn N, 2015, J HUM DEV CAPABIL, V16, P625, DOI 10.1080/19452829.2015.1103713
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Office of Evaluation and Oversight Inter-American Development Bank, 2016, EV IDBS EM SUST CIT
   Office of Evaluation and Oversight Inter-American Development Bank, 2014, CLIM CHANG IDB BUILD
   Opschoor H, 2011, INT J SUST DEV WORLD, V18, P190, DOI 10.1080/13504509.2011.570800
   Organisation for Economic Co-operation and Development, 2018, BUILDING RESILIENT C, DOI 10.1787/9789264305397-en
   Peake S, 2017, CLIM POLICY, V17, P832, DOI 10.1080/14693062.2016.1258633
   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]
   Rauland V, 2015, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-319-15506-7
   Redclift M, 2005, SUSTAIN DEV, V13, P212, DOI 10.1002/sd.281
   Sandhu S.C., 2014, 9 ADB
   Sandhu S.C., 2016, GREEEN SOLUTIONS LIV
   Sharma A, 2017, CLIM POLICY, V17, P33, DOI 10.1080/14693062.2016.1213697
   Shelepov A, 2017, VESTN MEZHDUNARODNYK, V12, P127, DOI 10.17323/1996-7845-2017-01-127
   Silva BN, 2018, SUSTAIN CITIES SOC, V38, P697, DOI 10.1016/j.scs.2018.01.053
   Sullivan R, 2013, CLIM POLICY, V13, P514, DOI 10.1080/14693062.2012.745113
   Trundle A, 2020, CITIES, V97, DOI 10.1016/j.cities.2019.102496
   United Nations, 2021, 11 UN SDG
   United Nations, 2020, Sustainable Development Goals Report 2020
   United Nations Framework Convention on Climate Change, INTR CLIM FIN
   Watrobski J, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080702
   Wihtol R., 2014, 491 ADBI
   World Bank, 2015, CIT STRENGTH DIAGN M
   World Bank, 2018, CIT STRENGTH DIAGN M
   World Commission on Environment and Development, 1987, OUR COMMON FUTURE
   Yigitcanlar T, 2019, SUSTAIN CITIES SOC, V45, P348, DOI 10.1016/j.scs.2018.11.033
   Young Z., 2002, A new green order?: The world Bann and tho politics of the Gloeal Environment Facility
   2018, STRAT SUSTAIN, P1
NR 96
TC 5
Z9 5
U1 2
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0950-6764
EI 1467-7679
J9 DEV POLICY REV
JI Dev. Policy Rev.
PD MAR
PY 2022
VL 40
IS 2
DI 10.1111/dpr.12577
EA OCT 2021
PG 22
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA YX2LW
UT WOS:000704209000001
DA 2025-01-10
ER

PT J
AU Bastos, B
   Pradhan, N
   Tarroso, P
   Brito, JC
   Boratynski, Z
AF Bastos, Barbara
   Pradhan, Nelish
   Tarroso, Pedro
   Brito, Jose C.
   Boratynski, Zbyszek
TI Environmental determinants of minimum body temperature in mammals
SO JOURNAL OF VERTEBRATE BIOLOGY
LA English
DT Article
DE climatic adaptation; climate change; heterothermy; thermoregulation;
   physiological performance; torpor
ID DAILY TORPOR; HIBERNATION; ENDOTHERMY; EVOLUTION; ENERGETICS; BIRDS;
   HETEROTHERMY; METABOLISM; PHYLOGENY; REDUCTION
AB Physiological regulation of body temperature, set at a high level, is one of the key features of endothermic homeotherms, such as birds and mammals. However, many mammals and some birds have evolved the ability for temporal down-regulation of core body temperature. We investigated how variation in environment temperature and habitat primary productivity determine variation in daily body temperature down-regulation among mammalian species. Nearly half of the variation in minimum daily body temperature among species was explained by variation in both primary productivity and environmental temperature. Mammals expressing low minimum body temperature inhabited regions of low annual temperature with wide daily and seasonal temperature variation. Simultaneously, those regions were characterized by low productivity and low seasonality in productivity. Furthermore, regions characterized by a high level of among-year variation in environmental temperature, but not in primary productivity, were inhabited by species with low minimum body temperature, but only by those adapted to relatively humid conditions. Our results suggest that daily heterothermy can be selectively advantageous in the environmental circumstances when high energetic demands for maintaining endothermic homeothermy, physiological regulation of a high and stable body temperature, cannot be supported. The results corroborate the hypothesis that mammals that have evolved daily down-regulation of body temperature may have higher chances of surviving extinction events caused by climatic changes. Therefore, daily heterothermy adaptation in contemporary mammals represents a mechanism for surviving the ongoing global warming.
C1 [Bastos, Barbara; Pradhan, Nelish; Tarroso, Pedro; Brito, Jose C.; Boratynski, Zbyszek] Univ Porto, Res Ctr Biodivers & Genet Resources, CIBIO InBIO, Vairao, Portugal.
   [Bastos, Barbara; Brito, Jose C.] Univ Porto, Fac Ciencias, Dept Biol, Porto, Portugal.
C3 Universidade do Porto; Universidade do Porto
RP Bastos, B; Boratynski, Z (corresponding author), Univ Porto, Res Ctr Biodivers & Genet Resources, CIBIO InBIO, Vairao, Portugal.; Bastos, B (corresponding author), Univ Porto, Fac Ciencias, Dept Biol, Porto, Portugal.
EM barbarainb@gmail.com; npradhan@cibio.up.pt; ptarroso@cibio.up.pt;
   jcbrito@cibio.up.pt; boratyns@gmail.com
RI Boratyński, Zbyszek/AAF-2389-2020; Pradhan, Nelish/AAC-5755-2020; Brito,
   Jose Carlos/A-7831-2010; Tarroso, Pedro/I-3023-2012; Boratynski,
   Zbyszek/L-7082-2013
OI Noronha Bastos, Barbara/0000-0003-2903-9681; Pradhan,
   Nelish/0000-0001-5469-7526; Brito, Jose Carlos/0000-0001-5444-8132;
   Tarroso, Pedro/0000-0002-2694-1170; Boratynski,
   Zbyszek/0000-0003-4668-4922
FU Portuguese Foundation for Science and Technology
   [PTDC/BIAECO/28158/2017]; National Geographic Society [NGS-53336R-19];
   FCT [CEECINST/00014/2018/CP1512/CT0001]; National Funds through FCT
   [DL57/2016/CP/1440/CT0008]; Fundação para a Ciência e a Tecnologia
   [CEECINST/00014/2018/CP1512/CT0001] Funding Source: FCT
FX We acknowledge two anonymous reviewers for their contribution. We
   received funding from the Portuguese Foundation for Science and
   Technology (PTDC/BIAECO/28158/2017) and National Geographic Society
   (NGS-53336R-19). J.C. Brito was supported by FCT
   (CEECINST/00014/2018/CP1512/CT0001). P. Tarroso was supported by
   National Funds through FCT (DL57/2016/CP/1440/CT0008). Author
   contributions: B. Bastos, N. Pradhan, J.C. Brito, P. Tarroso and Z.
   Boratynski designed the study, P. Tarroso, B. Bastos and N. Pradhan
   collected data, Z. Boratynski and B. Bastos conducted analyses and
   drafted the manuscript, all authors contributed to the final version of
   the manuscript. We declare no conflict of interests. Data, code for
   analyses and phylogenetic tree are available at Figshare public
   repository (https://figshare.com/s/1f1a5bcbceb12253440a).
CR Barros MI, 2018, MAMMAL RES, V63, P485, DOI 10.1007/s13364-018-0377-x
   BLIGH J, 1973, Journal of Applied Physiology, V35, P941
   Boratynski JS, 2018, MAMMAL RES, V63, P493, DOI 10.1007/s13364-018-0392-y
   Boratynski JS, 2018, PHYSIOL BIOCHEM ZOOL, V91, P1057, DOI 10.1086/699917
   Boratynski Z, 2010, J EVOLUTION BIOL, V23, P1969, DOI 10.1111/j.1420-9101.2010.02059.x
   Boratynski Z, 2020, FUNCT ECOL, V34, P468, DOI 10.1111/1365-2435.13480
   Boratynski Z, 2020, OECOLOGIA, V193, P547, DOI 10.1007/s00442-020-04704-x
   Boratynski Z, 2009, FUNCT ECOL, V23, P330, DOI 10.1111/j.1365-2435.2008.01505.x
   Boyles JG, 2011, INTEGR COMP BIOL, V51, P676, DOI 10.1093/icb/icr053
   Bozinovic F, 2005, REV CHIL HIST NAT, V78, P199
   Brito JC, 2016, DIVERS DISTRIB, V22, P371, DOI 10.1111/ddi.12416
   BROWN JH, 1969, ECOLOGY, V50, P705, DOI 10.2307/1936263
   Dammhahn M, 2017, FUNCT ECOL, V31, P866, DOI 10.1111/1365-2435.12797
   Dausmann KH, 2020, FRONT PHYSIOL, V11, DOI 10.3389/fphys.2020.00522
   Desforges JP, 2021, ECOL EVOL, V11, P338, DOI 10.1002/ece3.7049
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Geiser F, 2004, ANNU REV PHYSIOL, V66, P239, DOI 10.1146/annurev.physiol.66.032102.115105
   GEISER F, 1988, J COMP PHYSIOL B, V158, P25, DOI 10.1007/BF00692726
   Geiser F, 2008, COMP BIOCHEM PHYS A, V150, P176, DOI 10.1016/j.cbpa.2007.02.041
   Geiser Fritz, 2012, P109
   Geiser F, 2009, NATURWISSENSCHAFTEN, V96, P1235, DOI 10.1007/s00114-009-0583-0
   Heldmaier G, 2004, RESP PHYSIOL NEUROBI, V141, P317, DOI 10.1016/j.resp.2004.03.014
   Hetem RS, 2016, BIOL REV, V91, P187, DOI 10.1111/brv.12166
   IUCN, 2016, The IUCN Red List of Threatened Species
   Ives AR, 2019, SYST BIOL, V68, P234, DOI 10.1093/sysbio/syy060
   Körtner G, 2000, OECOLOGIA, V123, P350, DOI 10.1007/s004420051021
   Koteja P, 2000, P ROY SOC B-BIOL SCI, V267, P479, DOI 10.1098/rspb.2000.1025
   Levesque D. L., 2016, J BIOL ENG, V3, P1, DOI DOI 10.1186/S40665-016-0022-3
   Lovegrove BG, 2017, BIOL REV, V92, P1213, DOI 10.1111/brv.12280
   Lovegrove BG, 2000, AM NAT, V156, P201, DOI 10.1086/303383
   Lovegrove BG, 2000, LIFE IN THE COLD, P29
   McKechnie AE, 2011, INTEGR COMP BIOL, V51, P349, DOI 10.1093/icb/icr035
   MCNAB BK, 1978, AM NAT, V112, P1, DOI 10.1086/283249
   McNab BK, 2009, P NATL ACAD SCI USA, V106, P12184, DOI 10.1073/pnas.0904000106
   Nespolo RF, 2011, TRENDS ECOL EVOL, V26, P414, DOI 10.1016/j.tree.2011.04.004
   Nespolo RF, 2010, J COMP PHYSIOL B, V180, P767, DOI 10.1007/s00360-010-0449-y
   Nowack J, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00060
   Nowack J, 2017, J COMP PHYSIOL B, V187, P889, DOI 10.1007/s00360-017-1100-y
   Okrouhlík J, 2021, J THERM BIOL, V95, DOI 10.1016/j.jtherbio.2020.102810
   Pettersen AK, 2020, EVOL LETT, V4, P333, DOI 10.1002/evl3.174
   POUGH FH, 1980, AM NAT, V115, P92, DOI 10.1086/283547
   Preussner M, 2017, MOL CELL, V67, P433, DOI 10.1016/j.molcel.2017.06.006
   Rezende EL, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaw4486
   Rezende EL, 2012, COMPR PHYSIOL, V2, P639, DOI 10.1002/cphy.c100079
   RUBEN J, 1995, ANNU REV PHYSIOL, V57, P69, DOI 10.1146/annurev.ph.57.030195.000441
   Ruf T, 2015, BIOL REV, V90, P891, DOI 10.1111/brv.12137
   Tieleman BI, 1999, PHYSIOL BIOCHEM ZOOL, V72, P87, DOI 10.1086/316640
   Trabucco A., 2018, CGIAR Consortium for Spatial Information (CGIAR-CSI)
   Upham NS, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000494
   Vuarin P, 2014, J COMP PHYSIOL B, V184, P683, DOI 10.1007/s00360-014-0833-0
NR 50
TC 9
Z9 9
U1 2
U2 33
PU INST VERTEBRATE BIOLOGY AS CR
PI BRNO
PA KVETNA 8, BRNO 603 65, CZECH REPUBLIC
SN 2694-7684
J9 J VERTEBR BIOL
JI J. Vertebr. Biol.
PD MAR
PY 2021
VL 70
IS 2
AR 21004
DI 10.25225/jvb.21004
PG 12
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA RN9AW
UT WOS:000640645200003
OA gold
DA 2025-01-10
ER

PT J
AU Cannon, SE
AF Cannon, Sara E.
TI Climate change denial and the jeopardised interest of the United States
   in the Freely Associated States of Micronesia
SO ASIA PACIFIC VIEWPOINT
LA English
DT Article
DE climate change; Compacts of Free Association; Freely Associated States;
   Micronesia; Pacific geopolitics; United States
ID ADAPTATION FINANCE; ATOLL ISLANDS; PACIFIC; CHINA; RESILIENCE;
   MANAGEMENT; WITHDRAWAL; EQUITY; AID
AB The Compacts of Free Association (COFA) are agreements between the United States of America and three Pacific Island countries: the Republic of the Marshall Islands (RMI), the Federated States of Micronesia (FSM) and Palau, collectively the Freely Associated States (FAS). COFA provides the FAS financial assistance to build their economies and foster financial independence; in exchange, the United States has regional military control. The United States is the world's second largest emitter of greenhouse gases, while the FAS produce few emissions but are vulnerable to climate impacts. I highlight inconsistencies in U.S. policies from within its own paradigm by 'seeing like an empire' to show how contradicting priorities jeopardise American interests in the region. Aid provided by COFA has done little to build infrastructure supporting the FAS's economically independence, and climate change diverts economic resources to funding climate adaptation. The United States is currently battling China to maintain hegemony in the Pacific, making the FAS strategically important for national security. Meanwhile, climate change threatens U.S. military installations in the FAS. It is in the United States' best interests to limit emissions to protect its investments in the FAS, but this requires a policy change to prioritise its commitments in Micronesia over climate change denial.
C1 [Cannon, Sara E.] Univ British Columbia, Dept Geog, 1984 West Mall, Vancouver, BC V6T 1Z2, Canada.
C3 University of British Columbia
RP Cannon, SE (corresponding author), Univ British Columbia, Dept Geog, 1984 West Mall, Vancouver, BC V6T 1Z2, Canada.
EM s.cannon@oceans.ubc.ca
RI Cannon, Sara E./AFU-9890-2022
OI Cannon, Sara E./0000-0002-1402-6370
CR Abi-Habib Maria., 2018, The New York Times
   Ahlgren I, 2014, HEALTH HUM RIGHTS, V16, P69
   Aldrich R., 2010, THE LAST COLONIES
   Annamalai H., 2015, ASIAPACIFIC ISSUES, V122, P1
   [Anonymous], 2019, EPA RESP EB WAT PROB
   [Anonymous], 2017, Pacific Possible. Development Policy Review, DOI DOI 10.1596/28135
   [Anonymous], 2015, NY TIMES
   [Anonymous], 1992, United Nations Framework Convention on Climate Change
   [Anonymous], 2020, STAT PLEDG CONTR MAD
   [Anonymous], 2013, EC CLIM CHANG PAC
   Armstrong A.J., 1981, BROOKLYN J INT LAW, VVII, P179
   Atteridge A.N. Canales., 2017, Climate finance in the Pacific: An overview of flows to the region's Small Island Developing States
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Barnett J, 2017, ASIA PAC VIEWP, V58, P3, DOI 10.1111/apv.12153
   Beatty ME, 2004, CLIN INFECT DIS, V38, P1, DOI 10.1086/379713
   Becker M, 2019, TROPICAL EXTREMES: NATURAL VARIABILITY AND TRENDS, P203, DOI 10.1016/B978-0-12-809248-4.0007-8
   Betzold C., 2016, 46 DEV POL CTR
   Betzold C, 2017, INT ENVIRON AGREEM-P, V17, P17, DOI 10.1007/s10784-016-9343-8
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Betzold C, 2010, POLITICS-OXFORD, V30, P131, DOI 10.1111/j.1467-9256.2010.01377.x
   Bordner AS, 2016, P NATL ACAD SCI USA, V113, P6833, DOI 10.1073/pnas.1605535113
   Brown G, 2017, ENERG POLICY, V111, P127, DOI 10.1016/j.enpol.2017.09.019
   Bruzgul J., 2015, SERDP CLIMATE CHANGE
   Buchan P.G., 2018, RETHINKING US STRATE
   Cabezon E, 2019, ASIAN-PAC ECON LIT, V33, P113, DOI 10.1111/apel.12255
   Campbell J, 2009, SHIMA, V3, P85
   Christoff P, 2016, ENVIRON POLIT, V25, P765, DOI 10.1080/09644016.2016.1191818
   Chui TFM, 2015, WATER ENVIRON J, V29, P430, DOI 10.1111/wej.12116
   Chutaro B., 2005, 15 IWP
   Clinton Hillary., 2011, FOREIGN POLICY
   Connell J., 1998, Island Towns: Managing Urbanization in Micronesia (No. Occasional Paper 40)
   Connell John., 2002, URBANISATION ISLAND
   CSIRO Australian Bureau of Meteorology and SPREP, 2015, PAC AUSTR CLIM CHANG
   Davis S, 2020, ISL STUD J, V15, P13, DOI 10.24043/isj.104
   Davis Sasha., 2015, The Empire's Edge: Militarization, Resistance, and Transcending Hegemony in the Pacific
   De Pryck K, 2017, LAW CRIT, V28, P119, DOI 10.1007/s10978-017-9207-6
   Dean A., 2017, ISLAND GEOGRAPHIES E, P67
   Dema B., 2012, Columbia Journal of Environmental Law, V37, P177
   Department of Defense, 2014, 2014 CLIM CHANG AD R
   Diaz K.K., 2012, The Compact of Free Association (COFA): A History of Failures
   Donner SD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054006
   Fanell JE, 2019, NAV WAR COLL REV, V72, P17
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   FREEMAN J, 2012, PACE ENV L REV, V30, P375
   Friedrich J., 2019, CAIT CLIMATE DATA EX
   GAO, 2017, CLIM CHANG AD DOD NE
   Giardino A, 2018, REG ENVIRON CHANGE, V18, P2237, DOI 10.1007/s10113-018-1353-3
   Goldberg W., 2018, The geography, nature and history of the tropical pacific and its islands
   Gootnick D., 2008, COMPACT FREE ASS MIC
   Gootnick D., 2018, REPORT CHAIRMAN COMM
   Hameiri S, 2015, PAC REV, V28, P631, DOI 10.1080/09512748.2015.1012542
   Hanlon David., 1998, REMAKING MICRONESIA, DOI DOI 10.2458/V6I1.21538
   Haque TA, 2015, ASIA PAC POLICY STUD, V2, P609, DOI 10.1002/app5.79
   Hara K., 2007, ASIA PACIFIC J, V5, P1
   HAUOFA E, 1994, CONTEMP PACIFIC, V6, P147
   Hegarty David., 2013, Politics, Development and Security in Oceania
   Henderson J., 2003, National Interest, V72, P94
   Hezel FrancisX., 1995, Strangers in their Own Land: A Century of Colonial Rule in the Caroline and Marshall Islands
   Johnson G., 1982, Japan- Asia Quarterly Review, P42
   Johnston BarbaraRose., 2008, Consequential Damages of Nuclear War : The Rongelap Report
   Keitner C., 2003, Texas International Law Journal, V39, P1
   Kelley T.P., 1990, Global Climate Change Implications for the United States Navy
   Kessler G., 2017, WASH POST
   Keys R., 2016, MILITARY EXPERT PANE
   Kirch P.V., 2000, ROAD WINDS ARCHAEOLO, DOI [10.5860/CHOICE.38-2228, DOI 10.5860/CHOICE.38-2228]
   Le Quéré C, 2018, EARTH SYST SCI DATA, V10, P2141, DOI 10.5194/essd-10-2141-2018
   Lewin P.G., 2020, FUTURE US EMPIRE AM
   Lewis J, 2009, SHIMA, V3, P3
   Lingenfelter S., 2018, YAP POLITICAL LEADER
   Matsha-Carpentier B., 2015, UN NEWS
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   OConnor T., 2019, Newsweek
   Oliver P., 2018, Global Climate Finance: An Updated View
   Organisation for Economic Co-operation and Development, 2019, OFF DEV ASS DEF COV
   Organisation for Economic Co-operation and Development, 2019, CLIM REL BIL DEV FIN
   Pak C., 2017, UN NEWS
   Parker A., 2016, New York Times
   Persson A, 2014, CLIM POLICY, V14, P488, DOI 10.1080/14693062.2013.879514
   Poyer Lin., 2001, The Typhoon of War: Micronesian Experiences of the Pacific War
   Saad A, 2018, ENVIRON JUSTICE, V11, P47, DOI 10.1089/env.2017.0033
   Solomon A. M., 1963, SOLOMON REPORT AM RU
   Spennemann DHR, 1996, ENVIRON MANAGE, V20, P337, DOI 10.1007/BF01203842
   Stadelmann M, 2014, INT ENVIRON AGREEM-P, V14, P101, DOI 10.1007/s10784-013-9206-5
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Swanson A.P., 2018, The New York Times
   U.S. Department of the Interior, 2019, INT SECR BERNH APPL
   UN OHRLLS, 2015, Small island developing states in numbers
   UNFCCC, 2019, KYOT PROT STAT RAT
   United States Department of State, 1984, COMP FREE ASS MICR S
   US GAO (US Government Accountability Office), 2018, COMP FREE ASS ACT NE, P18
   Vidal J., 2015, Guardian
   Wang CZ, 2017, CORAL REEFS WORLD, V8, P85, DOI 10.1007/978-94-017-7499-4_4
   Werner AD, 2017, J HYDROL, V551, P819, DOI 10.1016/j.jhydrol.2017.02.047
   World Bank, 2022, World development indicators
   Wroe D., 2018, SYNDEY MORNING H APR
   Yamada S., 2007, Social Medicine, V2, P79
   Yang J, 2009, PAC REV, V22, P139, DOI 10.1080/09512740902815292
   Zak D., 2017, WASHINGTON POST
   Zhang Denghua., 2017, The Round Table, V106, P197, DOI DOI 10.1080/00358533.2017.1296705
   Zhang HB, 2017, ADV CLIM CHANG RES, V8, P220, DOI 10.1016/j.accre.2017.09.002
   2020, WHO TECH REP SER, V1023, P1
NR 102
TC 2
Z9 2
U1 2
U2 12
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 AUG
PY 2021
VL 62
IS 2
BP 242
EP 258
DI 10.1111/apv.12295
EA DEC 2020
PG 17
WC Area Studies; Geography
WE Social Science Citation Index (SSCI)
SC Area Studies; Geography
GA TU3NF
UT WOS:000598309200001
DA 2025-01-10
ER

PT J
AU Mortey, EM
   Kouassi, KL
   Diedhiou, A
   Anquetin, S
   Genoud, M
   Hingray, B
   Kouame, DGM
AF Mortey, Eric Mensah
   Kouassi, Kouakou Lazare
   Diedhiou, Arona
   Anquetin, Sandrine
   Genoud, Mathieu
   Hingray, Benoit
   Kouame, Didier Guy Marcel
TI Sustainable Hydroelectric Dam Management in the Context of Climate
   Change: Case of the Taabo Dam in Cote D'Ivoire, West Africa
SO SUSTAINABILITY
LA English
DT Article
DE sustainability; indicators; Standardized Precipitation Index (SPI);
   multi-criteria decision analysis; Aggregated Preference Indices System
   (APIS); sustainability index; climate change
ID IMPACTS; RISK; INDICATORS
AB Management of hydroelectric dams is an aspect of sustainability that comes with resolving problems locally. The use of global indicators has not been a sustainable solution, thus the need for local indicators. Besides, current sustainability assessment tools lack the integration of climate, making assessments in a climate change context impossible. In this paper, we present management and sustainability assessment in a climate change context using sustainability indicators. We modeled a change in the climate using normal, moderate, and extreme climate conditions defined by Standardized Precipitation Indices (SPI) values. Out of 36 years analyzed, 24 years fall in the near-normal climate regime, and the remaining 12 years in moderate and extreme conditions, making near-normal climate regime the basis for managing the Taabo Dam. The impact of climate, techno-economic, and socio-environmental indicators on sustainability were investigated, and the results were analyzed according to scenarios. Climate adaptation shows higher sustainability indices than techno-economic and socio-environmental scenarios. Probability matrices show high and low values, respectively, for environmental and flooding indicators. Risk matrices, on the other hand, show that even with small probability values, risks still exist, and such small probabilities should not be taken as an absence of risk. The study reveals that sustainability can be improved by integrating climate into existing assessment methods.
C1 [Mortey, Eric Mensah; Diedhiou, Arona] Univ Felix Houphouet Boigny, LAPAMF African Ctr Excellence Climate Change, Biodivers & Sustainable Dev, 22 BP 582, Abidjan 22, Cote Ivoire.
   [Kouassi, Kouakou Lazare] Univ Jean Lorougnon GUEDE, UFR Environm, BP 150, Daloa, Cote Ivoire.
   [Diedhiou, Arona; Anquetin, Sandrine; Hingray, Benoit] Univ Grenoble Alpes, IRD, CNRS, IGE,Grenoble INP Inst Engn, F-38000 Grenoble, France.
   [Genoud, Mathieu] Ecole Cent Lyon, 36 Ave Guy de Collongue, F-69134 Lyon, France.
   [Kouame, Didier Guy Marcel] Ivory Coast Natl Co Elect CIE, 01 BP 6923, Abidjan 01, Cote Ivoire.
C3 Universite Felix Houphouet-Boigny; Universite Jean Lorougnon Guede;
   Institut de Recherche pour le Developpement (IRD); Communaute Universite
   Grenoble Alpes; Universite Grenoble Alpes (UGA); Centre National de la
   Recherche Scientifique (CNRS); Ecole Centrale de Lyon
RP Mortey, EM (corresponding author), Univ Felix Houphouet Boigny, LAPAMF African Ctr Excellence Climate Change, Biodivers & Sustainable Dev, 22 BP 582, Abidjan 22, Cote Ivoire.
EM morteyeric@gmail.com
RI DIEDHIOU, Arona/D-2719-2009; Mortey, Eric/AAW-6567-2020
OI Mortey, Eric/0000-0003-2199-7340; Anquetin,
   Sandrine/0000-0001-5127-1650; Hingray, Benoit/0000-0001-6991-0975;
   DIEDHIOU, Arona/0000-0003-3841-1027
FU NERC/DFID "Future Climate for Africa" program under the AMMA-2050
   project [NE/M019969/1]; IRD (Institut de Recherche pour le
   Developpement; France) [UMR IGE Imputation 252RA5]; NERC [NE/M019969/1,
   NE/M020428/1] Funding Source: UKRI
FX The research leading to this publication is co-funded by the NERC/DFID
   "Future Climate for Africa" program under the AMMA-2050 project, grant
   number NE/M019969/1 and by IRD (Institut de Recherche pour le
   Developpement; France) grant number UMR IGE Imputation 252RA5."
CR Abubakari S, 2019, J WATER CLIM CHANGE, V10, P907, DOI 10.2166/wcc.2018.193
   Afgan N., 2000, Sustainable Assessment of Energy Systems
   Afgan Nairn Hamdia, 2010, Sustainability, V2, P3812, DOI 10.3390/su2123812
   Afgan NH, 2002, ENERGY, V27, P739, DOI 10.1016/S0360-5442(02)00019-1
   Andaryani S, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8193-4
   Anoh K.A., 2017, J. Geosci. Environ. Prot., V05, P70, DOI [10.4236/gep.2017.513005, DOI 10.4236/GEP.2017.513005]
   Anoh KA, 2018, INT J RIVER BASIN MA, V16, P157, DOI 10.1080/15715124.2017.1387122
   [Anonymous], 2013, Microsoft Word-Full report final, P1
   [Anonymous], 2007, NEW ENERGY EXTERNALI
   [Anonymous], 1987, OUR COMMON FUTURE, P1
   [Anonymous], 1998, ENVIRON IMPACT ASSES
   [Anonymous], 2012, STANDARDIZED PRECIPI
   [Anonymous], 2006, INTERGOVERNMENTAL PA, DOI DOI 10.1016/J.PHRS.2011.03.002
   Bach H., 2011, From local watershed management to integrated river basin management at national and transboundary levels
   Bao PhamNgoc., 2017, Environment and Natural Resources Research, V7, P60, DOI DOI 10.5539/ENRR.V7N1P60
   Bhandari R, 2018, ENERGY SUSTAIN SOC, V8, DOI 10.1186/s13705-018-0147-2
   de Souza ACC, 2008, RENEW SUST ENERG REV, V12, P1843, DOI 10.1016/j.rser.2007.04.005
   Calabria FA, 2018, INT T OPER RES, V25, P1323, DOI 10.1111/itor.12277
   Carbone T.A., 2004, ENG MANAG J, V16, P28
   Chen DF, 2013, PROC CIRP, V9, P85, DOI 10.1016/j.procir.2013.06.173
   Cole MA, 1999, SUSTAIN DEV, V7, P87, DOI 10.1002/(SICI)1099-1719(199905)7:2<87::AID-SD102>3.0.CO;2-5
   COPERNICUS I, 2009, T AKAD A, V4, P65
   Coulibaly N, 2018, HYDROLOGY-BASEL, V5, DOI 10.3390/hydrology5010012
   Cox LA, 2008, RISK ANAL, V28, P497, DOI 10.1111/j.1539-6924.2008.01030.x
   Danielle A.B., 2015, EUR SCI J, V11, P99
   Dumbrava V., 2013, J KNOWLEDGE MANAGEME, P76
   Emas R, 2015, CONCEPT SUSTAINABLE, P1, DOI DOI 10.13140/RG.2.2.34980.22404
   Fujikura R, 2009, INT ENVIRON AGREEM-P, V9, P173, DOI 10.1007/s10784-009-9093-y
   Gadonneix P., 2010, PURSUING SUSTAINABIL
   Groga N., 2014, INT RES J PUBLIC ENV, V1, P70
   Haller C.R., 2018, TOPIC DRIVEN ENV RHE, V9255, P213, DOI [10.4324/9781315442044-11, DOI 10.4324/9781315442044-11]
   Hayicho Hussein, 2019, Agricultural Sciences, V10, P819, DOI 10.4236/as.2019.106063
   Hovanov N., 2008, DECIS SUPPORT SYST, V1, P2008
   Hovanov N.V., 1996, OFFICIAL REGISTRATIO
   Hovanov N, 2009, EUR J OPER RES, V195, P857, DOI 10.1016/j.ejor.2007.11.018
   International Hydropower Association, 2011, HYDROPOWER SUSTAINAB
   Jin L, 2018, SCI TOTAL ENVIRON, V637, P1069, DOI 10.1016/j.scitotenv.2018.04.350
   Kates RW, 2005, ENVIRONMENT, V47, P8
   Kouame YM, 2019, LAND-BASEL, V8, DOI 10.3390/land8070103
   Kumar D, 2014, RENEW SUST ENERG REV, V35, P101, DOI 10.1016/j.rser.2014.03.048
   Liu G, 2014, RENEW SUST ENERG REV, V31, P611, DOI 10.1016/j.rser.2013.12.038
   Locher H., 2012, HYDROPOWER PRACTICE, V2830, P1, DOI DOI 10.5772/31768
   Mortey EM, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4020025
   N'Goran EK, 1997, B WORLD HEALTH ORGAN, V75, P541
   Norrman A., 2004, International Journal of Physical Distribution & Logistics Management, V34, P434, DOI 10.1108/09600030410545463
   Obour PB, 2016, INT J WATER RESOUR D, V32, P286, DOI 10.1080/07900627.2015.1022892
   Purvis B, 2019, SUSTAIN SCI, V14, P681, DOI 10.1007/s11625-018-0627-5
   Roudier P, 2014, HYDROL EARTH SYST SC, V18, P2789, DOI 10.5194/hess-18-2789-2014
   Schumann K., 2010, P 21 WORLD EN C MONT, P11
   Shukla S, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032487
   Soro GE, 2017, HYDROLOGY-BASEL, V4, DOI 10.3390/hydrology4010018
   Stanzel P, 2018, CLIM SERV, V11, P36, DOI 10.1016/j.cliser.2018.05.003
   Sylla MB, 2018, CLIMATIC CHANGE, V151, P247, DOI 10.1007/s10584-018-2308-x
   Sylla MB, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-32736-0
   TALL M, 2017, THEOR APPL CLIMATOL, V129, P655, DOI DOI 10.1007/s00704-016-1805-y
   Tigkas D, 2015, EARTH SCI INFORM, V8, P697, DOI 10.1007/s12145-014-0178-y
   Vazifehkhah S, 2019, AGR WATER MANAGE, V217, P413, DOI 10.1016/j.agwat.2019.02.034
   Woodruff JM, 2005, SAFETY SCI, V43, P345, DOI 10.1016/j.ssci.2005.07.003
   Yankson PWK, 2018, DEV POLICY REV, V36, pO476, DOI 10.1111/dpr.12259
   Yihdego Y, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4237-z
   Zhan JY, 2014, SPRING GEOGR, P19, DOI 10.1007/978-3-642-54876-5_2
NR 61
TC 5
Z9 5
U1 0
U2 6
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 4846
DI 10.3390/su11184846
PG 32
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:000489104700032
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Qiao, YN
   Santos, J
   Stoner, AMK
   Flinstch, G
AF Qiao, Yaning
   Santos, Joao
   Stoner, Anne M. K.
   Flinstch, Gerardo
TI Climate change impacts on asphalt road pavement construction and
   maintenance: An economic life cycle assessment of adaptation measures in
   the State of Virginia, United States
SO JOURNAL OF INDUSTRIAL ECOLOGY
LA English
DT Article
DE adaptation; climate change; climate model downscaling; flexible
   pavement; life-cycle cost analysis; maintenance effects
ID COSTS; INFRASTRUCTURE
AB Pavement design and management practices must be adapted in response to future climate change. While many studies have attempted to identify different methods to adapt pavements to future climate conditions, the potential economic impacts of the adaptations still remain largely unquantified. This study presents the results of a comprehensive life-cycle cost analysis (LCCA) aimed at quantifying the potential economic impacts of a climate adaptation method, in which an upgraded asphalt binder (Performance Grade PG 76-22) is used in the construction and maintenance of flexible pavement sections in lieu of the original binder (PG 70-22) for improved resistance against high temperatures. For each of three major Virginia Department of Transportation (VDOT) districts with different climates, three case studies consisting of typical interstate, primary, and secondary pavement sections were considered. The LCCA accounted for the costs incurred during the mixture's production, maintenance, and use phases of the pavement life cycle by explicitly considering future climate projections, pavement life-cycle performance, maintenance effects, and work zone user delays. The study concludes that pavements using the upgraded binder not only perform better over time but are also economically advantageous compared to those with the original binder under the conditions of the anticipated future climate conditions (2020-2039).
C1 [Qiao, Yaning] China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, Xuzhou, Jiangsu, Peoples R China.
   [Santos, Joao] Univ Twente, Construct Management & Engn, POB 217, NL-7500 AE Enschede, Netherlands.
   [Stoner, Anne M. K.] Texas Tech Univ, Climate Ctr, Lubbock, TX 79409 USA.
   [Flinstch, Gerardo] Virginia Tech Polytech Inst & State Univ, Dept Civil & Environm Engn, Blacksburg, VA USA.
C3 China University of Mining & Technology; University of Twente; Texas
   Tech University System; Texas Tech University; Virginia Polytechnic
   Institute & State University
RP Santos, J (corresponding author), Univ Twente, Construct Management & Engn, POB 217, NL-7500 AE Enschede, Netherlands.
EM j.m.oliveiradossantos@utwente.nl
RI Santos, Joao/AAQ-6811-2020
OI Santos, Joao/0000-0003-0337-8001; Qiao, Yaning/0000-0002-9051-8406
CR *AASHTOWARE, 2016, AASHTOWARE PAV ME DE
   [Anonymous], 2010, Highway Capacity Manual
   [Anonymous], 2011, Life Cycle Cost Analysis
   Apeagyei AlexK., 2011, Asphalt Materials Design Inputs for Use with the Mechanistic Empirical Pavement Design Guide
   Brann D.E., 2000, Agronomy handbook
   Chatti K., 2012, Estimating the effects of pavement condition on vehicle operating costs, V720, DOI DOI 10.17226/22808
   Chinowsky PS, 2013, GLOBAL ENVIRON CHANG, V23, P764, DOI 10.1016/j.gloenvcha.2013.03.004
   Dunne JP, 2012, J CLIMATE, V25, P6646, DOI 10.1175/JCLI-D-11-00560.1
   *EM, 2017, INT RAT DISC RAT US
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Goedkoop M., 2016, Introduction to LCA with SimaPro
   Hayhoe K., 2017, CLIMATE SCI SPECIAL, VI, P133, DOI [DOI 10.7930/J0WH2N54, 10.7930/J0WH2N54]
   Mallick RB, 2014, TRANSPORT RES REC, P1, DOI 10.3141/2455-01
   Mannering F.L., 2009, PRINCIPLES HIGHWAY E, V4th
   MCGHEE KK, 2007, COST COMP METHODOLOG
   MEMMOTT JL, 1982, FHWATX87202921 TEX T
   Mills BN, 2009, J TRANSP ENG, V135, P773, DOI 10.1061/(ASCE)0733-947X(2009)135:10(773)
   Nathman R., 2008, PALATE USER GUIDE EX
   Qiao YN, 2018, INT J PAVEMENT ENG, V19, P502, DOI 10.1080/10298436.2016.1176164
   Qiao YN, 2013, TRANSPORT RES REC, P100, DOI 10.3141/2349-12
   Santos J, 2017, INT J PAVEMENT ENG, V18, P727, DOI 10.1080/10298436.2015.1122190
   Schweikert A, 2014, TRANSPORT POLICY, V35, P146, DOI 10.1016/j.tranpol.2014.05.019
   Socolofsky S, 2001, J HYDROL ENG, V6, P300, DOI 10.1061/(ASCE)1084-0699(2001)6:4(300)
   Stoner AMK, 2013, INT J CLIMATOL, V33, P2473, DOI 10.1002/joc.3603
   Tighe S.L., 2008, 7 INT C MAN PAV ASS
   Underwood BS, 2017, NAT CLIM CHANGE, V7, P704, DOI [10.1038/NCLIMATE3390, 10.1038/nclimate3390]
   VDOT, 2017, AASHTOWARE PAV ME US
   Vose R. S., 2017, Climate Science Special Report: Fourth National Climate Assessment, VI, P185, DOI DOI 10.7930/J0N29V45
   Walsh J., 2014, Climate change impacts in the United States: the third national climate assessment, DOI [10.7930/J0KW5CXT., DOI 10.7930/J0KW5CXT]
   Wuebbles D. J., 2017, Climate science special report: Fourth national climate assessment, VI
   Zapata ClaudiaE., 2008, Calibration and validation of the enhanced integrated climatic model for pavement design, V602
NR 31
TC 51
Z9 55
U1 8
U2 50
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1088-1980
EI 1530-9290
J9 J IND ECOL
JI J. Ind. Ecol.
PD APR
PY 2020
VL 24
IS 2
SI SI
BP 342
EP 355
DI 10.1111/jiec.12936
EA AUG 2019
PG 14
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 LD6LK
UT WOS:000481969600001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Ryeland, J
   Weston, MA
   Symonds, MRE
AF Ryeland, Julia
   Weston, Michael A.
   Symonds, Matthew R. E.
TI Leg length and temperature determine the use of unipedal roosting in
   birds
SO JOURNAL OF AVIAN BIOLOGY
LA English
DT Article
DE climate adaptation; tarsi length; thermoregulation
ID BEHAVIORAL THERMOREGULATION; BILL SIZE; HEAT-LOSS; GEOGRAPHICAL
   VARIATION; THERMAL CONSEQUENCES; HABITAT USE; TRADE-OFF; MORPHOLOGY;
   RESPONSES; SELECTION
AB The function of standing on one leg in birds has long been attributed to reducing heat loss from the unfeathered legs to the external environment. Whilst a handful of single-species studies correlate the use of the behaviour with ambient temperature, the degree to which it is used across taxa is unknown. Given that leg-length varies between species, the length of the leg (relative to body size) may mediate the use of this thermoregulatory behaviour, such that birds with longer legs should roost on one leg more than those with relatively shorter legs at any given ambient temperature. We tested this prediction through field observations and comparative analyses of nine shorebird species, with varying tarsi length relative to body size. Six of the nine species examined used unipedal standing more as temperatures decrease, indicating its role as a heat conservation behaviour. We also found that species with relatively longer legs roosted on one leg more frequently across a wide range of temperatures. Species with shorter leg lengths likely rely less on this posture to insulate the relatively smaller surface area of the legs. Our findings showed that the long accepted notion that birds stand on one leg more at colder temperatures holds, and that species with smaller relative leg length were less reliant on this behaviour to minimise heat loss from these bare appendages.
C1 [Ryeland, Julia; Weston, Michael A.; Symonds, Matthew R. E.] Deakin Univ, Geelong, Vic, Australia.
   [Ryeland, Julia; Weston, Michael A.; Symonds, Matthew R. E.] Fac Sci & Technol, Ctr Integrat Ecol, Sch Life & Environm Sci, Melbourne Burwood Campus, Burwood, Vic, Australia.
   [Ryeland, Julia] Western Sydney Univ, Hawkesbury Inst Environm, Sydney, NSW, Australia.
C3 Deakin University; Western Sydney University
RP Ryeland, J (corresponding author), Deakin Univ, Geelong, Vic, Australia.; Ryeland, J (corresponding author), Fac Sci & Technol, Ctr Integrat Ecol, Sch Life & Environm Sci, Melbourne Burwood Campus, Burwood, Vic, Australia.
EM julia.ryeland@outlook.com
RI Weston, Michael/IVH-3564-2023; Symonds, Matthew/I-6020-2018
OI Ryeland, Julia/0000-0001-7983-9367; Symonds,
   Matthew/0000-0002-9785-6045; Weston, Michael/0000-0002-8717-0410
FU Deakin Univ.
FX Funding for the project was provided by Deakin Univ.
CR Allen J. A., 1877, Radical Review, Vi, P108
   AMLANER CJ, 1983, BEHAVIOUR, V87, P85, DOI 10.1163/156853983X00138
   Anderson MJ, 2010, ZOO BIOL, V29, P365, DOI 10.1002/zoo.20266
   [Anonymous], 1996, snipe to pigeons
   [Anonymous], 1997, REPORT AUSTR BIRD BA
   [Anonymous], 2014, MUMIN MULTIMODEL INF
   BAKER MC, 1979, OIKOS, V33, P121, DOI 10.2307/3544520
   Barbosa A, 1999, BIOL J LINN SOC, V67, P313, DOI 10.1006/bijl.1998.0282
   Barter M., 1984, Occasional Stint, P69
   Barter M., 1986, Stilt, P2
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Battley PF, 2003, EMU, V103, P97, DOI 10.1071/MU02017
   BAUDINETTE RV, 1976, AM J PHYSIOL, V230, P920, DOI 10.1152/ajplegacy.1976.230.4.920
   Beauchamp G, 2008, BEHAV ECOL, V19, P1361, DOI 10.1093/beheco/arn096
   Beauchamp G, 2007, BIOL REV, V82, P511, DOI 10.1111/j.1469-185X.2007.00021.x
   BENNETT PM, 1987, J ZOOL, V213, P327, DOI 10.1111/j.1469-7998.1987.tb03708.x
   Bennett VJ, 2011, ECOL MODEL, V222, P2770, DOI 10.1016/j.ecolmodel.2011.04.025
   Bouchard LC, 2011, J ORNITHOL, V152, P307, DOI 10.1007/s10336-010-0586-9
   BRODSKY LM, 1984, CAN J ZOOL, V62, P1223, DOI 10.1139/z84-177
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Carr JM, 2012, BEHAV ECOL, V23, P434, DOI 10.1093/beheco/arr208
   Carrascal LM, 2001, ECOLOGY, V82, P1642, DOI 10.1890/0012-9658(2001)082[1642:BTBTTO]2.0.CO;2
   Cartar RV, 2005, J BIOGEOGR, V32, P377, DOI 10.1111/j.1365-2699.2005.01237.x
   Chang YH, 2017, BIOL LETTERS, V13, DOI 10.1098/rsbl.2016.0948
   CHATFIELD PO, 1953, AM J PHYSIOL, V172, P639, DOI 10.1152/ajplegacy.1953.172.3.639
   Clark Jacquie, 2002, Wader Study Group Bulletin, V98, P49
   Crawley M.J., 2005, Statistics: An introduction using R
   Dawson W., 1999, STURKIES AVIAN PHYSL, P343
   Delord K, 2016, IBIS, V158, P569, DOI 10.1111/ibi.12365
   EDERSTROM HE, 1964, AM J PHYSIOL, V207, P457, DOI 10.1152/ajplegacy.1964.207.2.457
   GRANT PR, 1971, EVOLUTION, V25, P599, DOI 10.1111/j.1558-5646.1971.tb01920.x
   Greenberg R, 2013, ECOL EVOL, V3, P389, DOI 10.1002/ece3.474
   Greenberg R, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040933
   Greenberg R, 2012, ECOGRAPHY, V35, P146, DOI 10.1111/j.1600-0587.2011.07002.x
   Hackett SJ, 2008, SCIENCE, V320, P1763, DOI 10.1126/science.1157704
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   HAGAN AA, 1980, J THERM BIOL, V5, P95, DOI 10.1016/0306-4565(80)90006-6
   HOHTOLA E, 1980, J COMP PHYSIOL, V136, P77, DOI 10.1007/BF00688626
   Javurková V, 2011, ETHOLOGY, V117, P345, DOI 10.1111/j.1439-0310.2011.01878.x
   Jetz W, 2012, NATURE, V491, P444, DOI 10.1038/nature11631
   JOHANSEN K, 1973, J COMP PHYSIOL, V85, P47, DOI 10.1007/BF00694140
   KAHL M. PHILIP, 1963, PHYSIOL ZOOL, V36, P141
   LASIEWSKI RC, 1967, CONDOR, V69, P13, DOI 10.2307/1366368
   LUSTICK S, 1978, SCIENCE, V200, P81, DOI 10.1126/science.635577
   Maddison W.P., 2010, Mesquite: a modular system for evolutionary analysis
   Marchant S., 1993, Handbook of Australian, New Zealand and Antarctic Birds. Volume 2: Raptors to Lapwings
   MARTINEAU L, 1988, J EXP BIOL, V136, P193
   MIDTGARD U, 1978, ORNIS SCAND, V9, P214, DOI 10.2307/3675884
   MORENO E, 1993, ECOLOGY, V74, P2037, DOI 10.2307/1940849
   Nebel S, 2013, EMU, V113, P99, DOI 10.1071/MU12076
   Nudds RL, 2007, EVOLUTION, V61, P2839, DOI 10.1111/j.1558-5646.2007.00242.x
   Pavlovic G, 2019, FUNCT ECOL, V33, P286, DOI 10.1111/1365-2435.13233
   PHILLIPS PK, 1994, J THERM BIOL, V19, P423, DOI 10.1016/0306-4565(94)90042-6
   REEBS SG, 1986, CONDOR, V88, P524, DOI 10.2307/1368284
   Richards SA, 2005, ECOLOGY, V86, P2805, DOI 10.1890/05-0074
   Rogers DI, 2006, ANIM BEHAV, V72, P563, DOI 10.1016/j.anbehav.2005.10.029
   Rogers K., 1996, Stilt, V29, P2
   Rogers K. G., 1990, VICTORIAN WADER STUD, V14, P17
   Ryeland J., 2019, DRYAD DIGITAL REPOSI, DOI 10.5061/dryad.3vh00dm/1
   Ryeland J, 2017, FUNCT ECOL, V31, P885, DOI 10.1111/1365-2435.12814
   SCHOLANDER PF, 1950, BIOL BULL-US, V99, P225, DOI 10.2307/1538740
   Scott GR, 2008, J EXP BIOL, V211, P1326, DOI 10.1242/jeb.015958
   STEEN I, 1965, ACTA PHYSIOL SCAND, V63, P285, DOI 10.1111/j.1748-1716.1965.tb04067.x
   STEVENS ED, 1986, CAN J ZOOL, V64, P889, DOI 10.1139/z86-133
   Symonds MRE, 2011, BEHAV ECOL SOCIOBIOL, V65, P13, DOI 10.1007/s00265-010-1037-6
   Symonds MRE, 2010, AM NAT, V176, P188, DOI 10.1086/653666
   Tattersall GJ, 2010, IMAGING SCI J, V58, P261, DOI 10.1179/136821910X12695060594165
   Tattersall GJ, 2017, BIOL REV, V92, P1630, DOI 10.1111/brv.12299
   Tattersall GJ, 2012, COMPR PHYSIOL, V2, P2151, DOI 10.1002/cphy.c110055
   Tattersall GJ, 2009, SCIENCE, V325, P468, DOI 10.1126/science.1175553
   Walsberg G.E., 1985, P389
   WALSBERG GE, 1993, ORNIS SCAND, V24, P174, DOI 10.2307/3676733
   WALSBERG GE, 1986, AUK, V103, P1
   Wolf BO, 2000, AM ZOOL, V40, P575, DOI 10.1668/0003-1569(2000)040[0575:TROTPI]2.0.CO;2
   Yorzinski JL, 2018, BIOL OPEN, V7, DOI 10.1242/bio.031005
   Zeffer A, 2003, BIOL J LINN SOC, V79, P461, DOI 10.1046/j.1095-8312.2003.00200.x
NR 76
TC 15
Z9 17
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0908-8857
EI 1600-048X
J9 J AVIAN BIOL
JI J. Avian Biol.
PD MAY
PY 2019
VL 50
IS 5
AR e02008
DI 10.1111/jav.02008
PG 9
WC Ornithology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA IA0QV
UT WOS:000469262500007
DA 2025-01-10
ER

PT J
AU Sairam, N
   Schröter, K
   Lüdtke, S
   Merz, B
   Kreibich, H
AF Sairam, Nivedita
   Schroeter, Kai
   Luedtke, Stefan
   Merz, Bruno
   Kreibich, Heidi
TI Quantifying Flood Vulnerability Reduction via Private Precaution
SO EARTHS FUTURE
LA English
DT Article
DE flood loss; average treatment effect; matching methods; loss models;
   risk analysis; adaptation
ID LEARNING BAYESIAN NETWORKS; DAMAGE MITIGATION MEASURES; PROPENSITY
   SCORE; AFFECTED RESIDENTS; CLIMATE-CHANGE; PREPAREDNESS; FRAMEWORK;
   GERMANY; LOSSES; MODEL
AB Private precaution is an important component in contemporary flood risk management and climate adaptation. However, quantitative knowledge about vulnerability reduction via private precautionary measures is scarce and their effects are hardly considered in loss modeling and risk assessments. However, this is a prerequisite to enable temporally dynamic flood damage and risk modeling, and thus the evaluation of risk management and adaptation strategies. To quantify the average reduction in vulnerability of residential buildings via private precaution empirical vulnerability data (n = 948) is used. Households with and without precautionary measures undertaken before the flood event are classified into treatment and nontreatment groups and matched. Postmatching regression is used to quantify the treatment effect. Additionally, we test state-of-the-art flood loss models regarding their capability to capture this difference in vulnerability. The estimated average treatment effect of implementing private precaution is between 11 and 15 thousand EUR per household, confirming the significant effectiveness of private precautionary measures in reducing flood vulnerability. From all tested flood loss models, the expert Bayesian network-based model BN-FLEMOps and the rule-based loss model FLEMOps perform best in capturing the difference in vulnerability due to private precaution. Thus, the use of such loss models is suggested for flood risk assessments to effectively support evaluations and decision making for adaptable flood risk management.
C1 [Sairam, Nivedita; Schroeter, Kai; Luedtke, Stefan; Merz, Bruno; Kreibich, Heidi] GFZ German Res Ctr Geosci, Sect Hydrol, Potsdam, Germany.
   [Sairam, Nivedita] Humboldt Univ, Geog Dept, Berlin, Germany.
   [Merz, Bruno] Univ Potsdam, Inst Earth & Environm Sci, Potsdam, Germany.
C3 Helmholtz Association; Helmholtz-Center Potsdam GFZ German Research
   Center for Geosciences; Humboldt University of Berlin; University of
   Potsdam
RP Sairam, N (corresponding author), GFZ German Res Ctr Geosci, Sect Hydrol, Potsdam, Germany.; Sairam, N (corresponding author), Humboldt Univ, Geog Dept, Berlin, Germany.
EM nivedita@gfz-potsdam.de
RI Kreibich, Heidi/HNR-9624-2023; Kreibich, Heidi/G-9408-2012; Schroter,
   Kai/B-1482-2013
OI Ludtke, Stefan/0000-0002-7888-9175; Kreibich, Heidi/0000-0001-6274-3625;
   Sairam, Nivedita/0000-0003-4611-9894; Schroter, Kai/0000-0002-3173-7019;
   Merz, Bruno/0000-0002-5992-1440
FU European Union [676027]; reinsurance company Deutsche Ruckversicherung;
   German Research Network Natural Disasters (German Ministry of Education
   and Research (BMBF)) [01SFR9969/5]; MEDIS project (BMBF) [0330688];
   project "Hochwasser 2013" (BMBF) [13N13017]; German Research Centre for
   Geosciences GFZ; University of Potsdam; Deutsche Ruckversicherung AG,
   Dusseldorf
FX This research has received funding from the European Union's Horizon
   2020 research and innovation program under grant agreement 676027 MSCA
   ETN System-Risk. Flood damage data of the 2005, 2006, 2010, 2011, and
   2013 events along with instructions on how to access the data are
   available via the German flood damage database, HOWAS21
   (http://howas21.gfz-potsdam.de/howas21/). Flood damage data of the 2002
   event were partly funded by the reinsurance company Deutsche
   Ruckversicherung (www.deutscherueck.de) and may be obtained upon
   request. The surveys were supported by the German Research Network
   Natural Disasters (German Ministry of Education and Research (BMBF), no.
   01SFR9969/5), the MEDIS project (BMBF; 0330688), the project "Hochwasser
   2013" (BMBF; 13N13017), and by a joint venture between the German
   Research Centre for Geosciences GFZ, the University of Potsdam, and the
   Deutsche Ruckversicherung AG, Dusseldorf.
CR Aldrich DP, 2012, DISASTERS, V36, P398, DOI 10.1111/j.1467-7717.2011.01263.x
   Allaire MC, 2016, WATER RESOUR RES, V52, P7408, DOI 10.1002/2016WR019243
   [Anonymous], 2003, ASS COST EFF FUT CLA
   [Anonymous], 2017, R: a language and environment for statistical computing
   [Anonymous], 2008, A Framework for Proenvironmental Behaviours
   [Anonymous], T320401 FLOODSITE CO
   Apel H, 2009, NAT HAZARDS, V49, P79, DOI 10.1007/s11069-008-9277-8
   Atreya A, 2017, INT J DISAST RISK RE, V24, P428, DOI 10.1016/j.ijdrr.2017.05.025
   Austin PC, 2006, STAT MED, V25, P2084, DOI 10.1002/sim.2328
   Barredo JI, 2009, NAT HAZARD EARTH SYS, V9, P97, DOI 10.5194/nhess-9-97-2009
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Bubeck P, 2012, NAT HAZARD EARTH SYS, V12, P3507, DOI 10.5194/nhess-12-3507-2012
   Bubeck P, 2018, RISK ANAL, V38, P1239, DOI 10.1111/risa.12938
   Burby R., 1988, Cities under Water: A Comparative Evaluation of Ten Cities' Efforts to Manage Floodplain Land Use
   Caliendo M, 2008, J ECON SURV, V22, P31, DOI 10.1111/j.1467-6419.2007.00527.x
   Cammerer H, 2013, NAT HAZARD EARTH SYS, V13, P3063, DOI 10.5194/nhess-13-3063-2013
   Carisi F, 2018, NAT HAZARD EARTH SYS, V18, P2057, DOI 10.5194/nhess-18-2057-2018
   Chipman HA, 2010, ANN APPL STAT, V4, P266, DOI 10.1214/09-AOAS285
   Cumiskey L, 2018, COAST ENG, V134, P81, DOI 10.1016/j.coastaleng.2017.08.009
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   de Moel H, 2015, MITIG ADAPT STRAT GL, V20, P865, DOI 10.1007/s11027-015-9654-z
   de Moel H, 2014, REG ENVIRON CHANGE, V14, P895, DOI 10.1007/s10113-013-0420-z
   Dehejia RH, 1999, J AM STAT ASSOC, V94, P1053, DOI 10.2307/2669919
   DESTATIS, 2013, STAT JB DEUTSCHL INT
   Diamond A., 2006, Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
   Dietz H., 1999, WOHNGEBAAUDEVERSICHE, P756
   DiPrete TA, 2004, SOCIOL METHODOL, V34, P271, DOI 10.1111/j.0081-1750.2004.00154.x
   Dutta D, 2003, J HYDROL, V277, P24, DOI 10.1016/S0022-1694(03)00084-2
   Elmer F, 2010, NAT HAZARD EARTH SYS, V10, P2145, DOI 10.5194/nhess-10-2145-2010
   Fekete A, 2014, INT J DISAST RISK SC, V5, P3, DOI 10.1007/s13753-014-0008-3
   Few R., 2003, PROG DEV STUD, V3, P43, DOI [DOI 10.1191/1464993403PS049RA, 10.1191/1464993403ps049ra]
   Figueiredo R, 2018, NAT HAZARD EARTH SYS, V18, P1297, DOI 10.5194/nhess-18-1297-2018
   Gerl T, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159791
   Grigg N.S., 1975, Water Resources Bulletin, V11, P379, DOI DOI 10.1111/J.1752-1688.1975.TB00689.X
   Heckerman D, 1998, NATO ADV SCI I D-BEH, V89, P301
   HECKERMAN D, 1995, MACH LEARN, V20, P197, DOI 10.1007/BF00994016
   Ho DE, 2007, POLIT ANAL, V15, P199, DOI 10.1093/pan/mpl013
   Holub M, 2008, RISK ANALYSIS VI: SIMULATION AND HAZARD MITIGATION, P401, DOI 10.2495/RISK080391
   Hudson P, 2014, NAT HAZARD EARTH SYS, V14, P1731, DOI 10.5194/nhess-14-1731-2014
   ICPR, 2002, INT COMM PROT RHIN N
   Jongman B, 2012, NAT HAZARD EARTH SYS, V12, P3733, DOI 10.5194/nhess-12-3733-2012
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Jongman B, 2014, NAT CLIM CHANGE, V4, P264, DOI [10.1038/NCLIMATE2124, 10.1038/nclimate2124]
   Keele L., 2010, CISC VIS NETW IND GL, P1
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kienzler S, 2015, NAT HAZARD EARTH SYS, V15, P505, DOI 10.5194/nhess-15-505-2015
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Kreibich H, 2012, NAT HAZARD EARTH SYS, V12, P391, DOI 10.5194/nhess-12-391-2012
   Kreibich H, 2011, NAT HAZARD EARTH SYS, V11, P309, DOI 10.5194/nhess-11-309-2011
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   Kreibich H, 2017, RISK ANAL, V37, P774, DOI 10.1111/risa.12650
   Kreibich H, 2015, MITIG ADAPT STRAT GL, V20, P967, DOI 10.1007/s11027-014-9629-5
   Kreibich H, 2014, NAT CLIM CHANGE, V4, P303, DOI 10.1038/nclimate2182
   Kreibich H, 2009, NAT HAZARDS, V51, P423, DOI 10.1007/s11069-007-9200-8
   Kunreuther HC, 2009, AT WAR WITH THE WEATHER: MANAGING LARGE-SCALE RISKS IN A NEW ERA OF CATASTROPHES, P1
   Mechler R, 2015, CLIMATIC CHANGE, V133, P23, DOI 10.1007/s10584-014-1141-0
   Merz B, 2013, NAT HAZARD EARTH SYS, V13, P53, DOI 10.5194/nhess-13-53-2013
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Nafari RH, 2016, WATER-SUI, V8, DOI 10.3390/w8070282
   Parker D, 2007, NAT HAZARDS, V43, P397, DOI 10.1007/s11069-007-9137-y
   Pearl J, 2009, STAT SURV, V3, P96, DOI 10.1214/09-SS057
   Penning-Rowsell E, 2005, NAT HAZARDS, V36, P43, DOI 10.1007/s11069-004-4538-7
   Poussin JK, 2015, GLOBAL ENVIRON CHANG, V31, P74, DOI 10.1016/j.gloenvcha.2014.12.007
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rolfsen Michael, 2009, NATUR RECHT, V31, P765
   Rosenbaum PR, 2010, SPRINGER SER STAT, P1, DOI 10.1007/978-1-4419-1213-8
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   ROSENBAUM PR, 1985, AM STAT, V39, P33, DOI 10.2307/2683903
   Roy AD, 1951, OXFORD ECON PAP, V3, P135, DOI 10.1093/oxfordjournals.oep.a041827
   RUBIN DB, 1974, J EDUC PSYCHOL, V66, P688, DOI 10.1037/h0037350
   Schröter K, 2014, WATER RESOUR RES, V50, P3378, DOI 10.1002/2013WR014396
   Scutari M, 2010, J STAT SOFTW, V35, P1, DOI 10.18637/jss.v035.i03
   SMITH DI, 1994, WATER SA, V20, P231
   Thieken AH, 2008, WIT TRANS ECOL ENVIR, V118, P315, DOI 10.2495/FRIAR080301
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   Thieken AH, 2007, HYDROLOG SCI J, V52, P1016, DOI 10.1623/hysj.52.5.1016
   Tsamardinos Ioannis, 2003, FLAIRS C, V2, P376
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Vincent JL, 2002, JAMA-J AM MED ASSOC, V288, P1499, DOI 10.1001/jama.288.12.1499
   Vogel K, 2014, NAT HAZARD EARTH SYS, V14, P2605, DOI 10.5194/nhess-14-2605-2014
   Wagenaar D, 2018, WATER RESOUR RES, V54, P3688, DOI 10.1029/2017WR022233
   White G.F., 1964, CHOICE ADJUSTMENT FL
   Wind HG, 1999, WATER RESOUR RES, V35, P3459, DOI 10.1029/1999WR900192
NR 87
TC 29
Z9 30
U1 0
U2 16
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 2328-4277
J9 EARTHS FUTURE
JI Earth Future
PD MAR
PY 2019
VL 7
IS 3
BP 235
EP 249
DI 10.1029/2018EF000994
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA HS6MX
UT WOS:000463987100003
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bergland, AO
   Tobler, R
   González, J
   Schmidt, P
   Petrov, D
AF Bergland, Alan O.
   Tobler, Ray
   Gonzalez, Josefa
   Schmidt, Paul
   Petrov, Dmitri
TI Secondary contact and local adaptation contribute to genome-wide
   patterns of clinal variation in <i>Drosophila melanogaster</i>
SO MOLECULAR ECOLOGY
LA English
DT Article
DE adaptation; Drosophila melanogaster; latitudinal clines; parallelism;
   secondary contact
ID AMINO-ACID POLYMORPHISM; GENE FLOW; NATURAL-POPULATIONS; LIFE-HISTORY;
   CLIMATIC ADAPTATION; CONTRASTING PATTERNS; GEOGRAPHIC-VARIATION;
   EUROPEAN ADMIXTURE; LATITUDINAL CLINES; NORTH-AMERICAN
AB Populations arrayed along broad latitudinal gradients often show patterns of clinal variation in phenotype and genotype. Such population differentiation can be generated and maintained by both historical demographic events and local adaptation. These evolutionary forces are not mutually exclusive and can in some cases produce nearly identical patterns of genetic differentiation among populations. Here, we investigate the evolutionary forces that generated and maintain clinal variation genome-wide among populations of Drosophila melanogaster sampled in North America and Australia. We contrast patterns of clinal variation in these continents with patterns of differentiation among ancestral European and African populations. Using established and novel methods we derive here, we show that recently derived North America and Australia populations were likely founded by both European and African lineages and that this hybridization event likely contributed to genome-wide patterns of parallel clinal variation between continents. The pervasive effects of admixture mean that differentiation at only several hundred loci can be attributed to the operation of spatially varying selection using an F-ST outlier approach. Our results provide novel insight into the well-studied system of clinal differentiation in D.melanogaster and provide a context for future studies seeking to identify loci contributing to local adaptation in a wide variety of organisms, including other invasive species as well as temperate endemics.
C1 [Bergland, Alan O.; Tobler, Ray; Gonzalez, Josefa; Petrov, Dmitri] Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
   [Tobler, Ray] Vetmeduni Vienna, Inst Populat Genet, Vet Pl 1, A-1210 Vienna, Austria.
   [Gonzalez, Josefa] Univ Pompeu Fabra, CSIC, Inst Evolutionary Biol, Passeig Maritim de la Barceloneta 37-49, Barcelona 0800 3, Spain.
   [Schmidt, Paul] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
C3 Stanford University; University of Veterinary Medicine Vienna; Consejo
   Superior de Investigaciones Cientificas (CSIC); Pompeu Fabra University;
   University of Pennsylvania
RP Bergland, AO (corresponding author), Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
EM bergland@stanford.edu
OI Schmidt, Paul/0000-0002-8076-6705; Gonzalez, Josefa/0000-0001-9824-027X;
   Tobler, Raymond/0000-0002-4603-1473
FU NIH National Service Research Award [F32 GM097837]; Austrian Science
   Fund (FWF); European Commission (Marie Curie CIG) [RYC-2010-07306,
   PCIG-GA-2011-293860]; Spanish Government (Fundamental Research Projects)
   [BFU-2011-24397]; NSF [DEB 0921307]; NIH [R01GM089926]
FX We thank Joyce Kao, Heather Machado and Annalise Paaby for insightful
   comments on earlier versions of this manuscript. We thank Ary Hoffmann
   for graciously providing isofemale lines from Australia. Finally, we
   thank Richard Hudson for help with ms and Nick Patterson and Peter Ralph
   for assistance in interpreting D statistics. AOB was supported by an NIH
   National Service Research Award (F32 GM097837). RT's stay in Stanford
   was kindly supported by the Austrian Science Fund (FWF). JG is a Ramon y
   Cajal Fellow (RYC-2010-07306) supported by grants from the European
   Commission (Marie Curie CIG PCIG-GA-2011-293860) and from the Spanish
   Government (Fundamental Research Projects Grant BFU-2011-24397). This
   work was supported by NSF DEB 0921307 (awarded to PS) and NIH
   R01GM089926 (awarded to PS and DP).
CR Adams SM, 2006, MOL ECOL, V15, P1109, DOI 10.1111/j.1365-294X.2006.02859.x
   Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Agosta SJ, 2008, ECOL LETT, V11, P1123, DOI 10.1111/j.1461-0248.2008.01237.x
   Alkorta-Aranburu G, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003110
   Andolfatto P, 2003, GENETICS, V165, P1289
   Andolfatto P, 2001, MOL BIOL EVOL, V18, P279, DOI 10.1093/oxfordjournals.molbev.a003804
   Andolfatto P, 2000, GENETICS, V156, P257
   [Anonymous], GEOGRAPHIC VARIATION
   [Anonymous], GENETICS
   [Anonymous], 1976, MARITIME HIST AUSTR
   Avila V, 2014, GENOME BIOL EVOL, V6, P2968, DOI 10.1093/gbe/evu229
   Bastide H, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003534
   Bates AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1958
   Begun DJ, 2007, PLOS BIOL, V5, P2534, DOI 10.1371/journal.pbio.0050310
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Bergland AO, 2011, MECHANISMS OF LIFE HISTORY EVOLUTION: THE GENETICS AND PHYSIOLOGY OF LIFE HISTORY TRAITS AND TRADE-OFFS, P127
   Bernatchez L, 1998, MOL ECOL, V7, P431, DOI 10.1046/j.1365-294x.1998.00319.x
   Bhan V, 2014, J GENET, V93, P103, DOI 10.1007/s12041-014-0344-5
   Blanckenhorn WU, 2004, INTEGR COMP BIOL, V44, P413, DOI 10.1093/icb/44.6.413
   Bock I.R., 1981, Genetics and Biology of Drosophila, V3a, P291
   Bonhomme M, 2010, GENETICS, V186, P241, DOI 10.1534/genetics.104.117275
   BRADSHAW WE, 1977, EVOLUTION, V31, P546, DOI 10.1111/j.1558-5646.1977.tb01044.x
   CAPY P, 1986, GENETICA, V69, P167, DOI 10.1007/BF00133519
   Caracristi G, 2003, MOL BIOL EVOL, V20, P792, DOI 10.1093/molbev/msg091
   Comeron JM, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002905
   Corbett-Detig RB, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003056
   COYNE JA, 1987, AM NAT, V130, P70, DOI 10.1086/284698
   Coyne JA, 1999, GENET RES, V73, P189, DOI 10.1017/S0016672398003723
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   Dormontt EE, 2011, FIFTY YEARS OF INVASION ECOLOGY: THE LEGACY OF CHARLES ELTON, P175
   Duchen P, 2013, GENETICS, V193, P291, DOI 10.1534/genetics.112.145912
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Ferveur JF, 1996, GENETICA, V97, P73, DOI 10.1007/BF00132583
   Gibert P, 2001, EVOLUTION, V55, P1063, DOI 10.1554/0014-3820(2001)055[1063:CCTAMC]2.0.CO;2
   Gockel J, 2001, GENETICS, V158, P319
   González J, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000905
   Gray SM, 2007, TRENDS ECOL EVOL, V22, P71, DOI 10.1016/j.tree.2006.10.005
   Haddrill PR, 2005, GENOME RES, V15, P790, DOI 10.1101/gr.3541005
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   Hudson RR, 2002, BIOINFORMATICS, V18, P337, DOI 10.1093/bioinformatics/18.2.337
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Karasov T, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000924
   Keller A, 2007, CURR BIOL, V17, pR77, DOI 10.1016/j.cub.2006.12.031
   Kennington WJ, 2003, GENETICS, V165, P667
   Kitano J, 2010, CURR BIOL, V20, P2124, DOI 10.1016/j.cub.2010.10.050
   Klepsatel P, 2014, EVOLUTION, V68, P1385, DOI 10.1111/evo.12351
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Kopelman Naama M, 2013, Pac Symp Biocomput, P273
   KREITMAN M, 1983, NATURE, V304, P412, DOI 10.1038/304412a0
   Lachance J, 2010, EVOLUTION, V64, P3035, DOI 10.1111/j.1558-5646.2010.01028.x
   Langley CH, 2012, GENETICS, V192, P533, DOI 10.1534/genetics.112.142018
   Laurent SJY, 2011, MOL BIOL EVOL, V28, P2041, DOI 10.1093/molbev/msr031
   Lavington E, 2014, MOL BIOL EVOL, V31, P2032, DOI 10.1093/molbev/msu146
   Lee CE, 2002, TRENDS ECOL EVOL, V17, P386, DOI 10.1016/S0169-5347(02)02554-5
   Lee SF, 2013, MOL ECOL, V22, P2716, DOI 10.1111/mec.12301
   Lee SF, 2011, MOL ECOL, V20, P2973, DOI 10.1111/j.1365-294X.2011.05155.x
   Lee SF, 2011, MOL BIOL EVOL, V28, P2393, DOI 10.1093/molbev/msr064
   LEWONTIN RC, 1973, GENETICS, V74, P175
   Li HP, 2006, PLOS GENET, V2, P1580, DOI 10.1371/journal.pgen.0020166
   Li YF, 2008, EVOLUTION, V62, P2984, DOI 10.1111/j.1558-5646.2008.00486.x
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Machado HE, 2016, MOL ECOL, V25, P723, DOI 10.1111/mec.13446
   Mackay TFC, 2012, NATURE, V482, P173, DOI 10.1038/nature10811
   Maggs CA, 2008, ECOLOGY, V89, pS108, DOI 10.1890/08-0257.1
   NEI M, 1972, AM NAT, V106, P283, DOI 10.1086/282771
   Nunes MDS, 2008, MOL ECOL, V17, P4470, DOI 10.1111/j.1365-294X.2008.03944.x
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Patterson N, 2012, GENETICS, V192, P1065, DOI 10.1534/genetics.112.145037
   Pickrell JK, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002967
   Pitchers W, 2013, EVOLUTION, V67, P438, DOI 10.1111/j.1558-5646.2012.01774.x
   Pool JE, 2015, MOL BIOL EVOL, V32, P3236, DOI 10.1093/molbev/msv194
   Pool JE, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003080
   POWELL J.R., 1997, PROGR PROSPECTS EVOL
   Rajpurohit S, 2008, INSECT SCI, V15, P553, DOI 10.1111/j.1744-7917.2008.00245.x
   Reich D, 2009, NATURE, V461, P489, DOI 10.1038/nature08365
   Reinhardt JA, 2014, GENETICS, V197, P361, DOI 10.1534/genetics.114.161463
   Richardson JL, 2014, TRENDS ECOL EVOL, V29, P165, DOI 10.1016/j.tree.2014.01.002
   ROBERTSON A, 1975, GENETICS, V80, P396
   Rouault JD, 2004, GENETICA, V120, P195, DOI 10.1023/B:GENE.0000017641.75820.49
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sezgin E, 2004, GENETICS, V168, P923, DOI 10.1534/genetics.104.027649
   Sgrò CM, 2013, MOL ECOL, V22, P3539, DOI 10.1111/mec.12353
   Shelomi M, 2012, AM NAT, V180, P511, DOI 10.1086/667595
   Simberloff D, 2009, ANNU REV ECOL EVOL S, V40, P81, DOI 10.1146/annurev.ecolsys.110308.120304
   SINGH RS, 1987, GENETICS, V115, P313
   SLATKIN M, 1987, SCIENCE, V236, P787, DOI 10.1126/science.3576198
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
   Takahashi A, 2001, P NATL ACAD SCI USA, V98, P3920, DOI 10.1073/pnas.061465098
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Telonis-Scott M, 2011, MOL ECOL, V20, P2100, DOI 10.1111/j.1365-294X.2011.05089.x
   Tobler R, 2014, MOL BIOL EVOL, V31, P364, DOI 10.1093/molbev/mst205
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   Ullastres A, 2015, MOL BIOL EVOL, V32, P1800, DOI 10.1093/molbev/msv061
   Whitlock MC, 1999, HEREDITY, V82, P117, DOI 10.1038/sj.hdy.6884960
   WHITLOCK MC, 1992, EVOLUTION, V46, P608, DOI 10.2307/2409631
   Wright S, 1943, GENETICS, V28, P114
   YAMAZAKI T, 1986, GENETICS, V113, P73
   Yukilevich R, 2008, EVOLUTION, V62, P2807, DOI 10.1111/j.1558-5646.2008.00488.x
   Yukilevich R, 2010, GENETICS, V186, P219, DOI 10.1534/genetics.110.117366
NR 108
TC 93
Z9 101
U1 0
U2 75
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD MAR
PY 2016
VL 25
IS 5
BP 1157
EP 1174
DI 10.1111/mec.13455
PG 18
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA DF5ZN
UT WOS:000371433400010
PM 26547394
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Parkash, R
   Sharma, V
   Kalra, B
AF Parkash, Ravi
   Sharma, Vineeta
   Kalra, Bhawna
TI Climatic adaptations of body melanisation in <i>Drosophila
   melanogaster</i> from Western Himalayas
SO FLY
LA English
DT Article
DE body melanisation; wild and laboratory populations; D. melanogaster;
   altitudinal localities; mating success; fitness traits
ID LADYBIRD ADALIA-BIPUNCTATA; ABDOMINAL PIGMENTATION; THERMAL MELANISM;
   MATING SUCCESS; MALE SIZE; EVOLUTION; MELANIZATION; NETHERLANDS;
   LEPIDOPTERA; SELECTION
AB We investigated population divergence in body melanisation in wild samples of Drosophila melanogaster across an elevational gradient (512-2202 m) in the Western Himalayas. Wild populations are characterized by higher phenotypic variability as compared with laboratory populations. Significant differences in elevational slope values for three posterior abdominal segments (fifth, sixth and seventh) in wild versus laboratory populations suggest plastic effects. However, elevational. slope values do not differ for the three anterior abdominal segments (second, third and fourth). Thus, elevational changes in melanisation include genetic as well as plastic effects. Fitness consequences of within population variability were analyzed on the basis of assorted darker and lighter flies from two highlands as well as from two lowland localities. There is lack of correlation of melanisation with body size as well as ovariole number in assorted darker and lighter flies. For each population, darker flies showed higher desiccation resistance, lower rate of water loss, longer copulation duration and greater fecundity as compared with lighter flies. Phenotypic variations in body melanisation can be interpreted in relation with seasonal changes in temperature as well as humidity (Tcv and RHcv) of the sites of origin of populations. Thus, elevational changes in body melanisation may represent genetic response to selection pressures imposed by colder and drier climatic conditions in the Western Himalayas.
C1 [Parkash, Ravi; Sharma, Vineeta; Kalra, Bhawna] Maharshi Dayanand Univ, Dept Biochem & Genet, Rohtak, Haryana, India.
C3 Maharshi Dayanand University
RP Kalra, B (corresponding author), UH 9, Rohtak 124001, Haryana, India.
EM bk_geny@yahoo.com
RI Parkash, Ravi/I-4987-2019; Sharma, Vineeta/ITV-9276-2023
OI kalra, Dr Bhawna/0000-0002-6687-5622; Sharma,
   Vineeta/0000-0002-0405-5995; Parkash, Ravi/0000-0001-9880-3941
CR [Anonymous], 1998, Melanism: Evolution in Action
   ASHBURNER M, 2003, DROSOPHILA LAB HDB
   BRAKEFIELD PM, 1985, BIOL J LINN SOC, V26, P243, DOI 10.1111/j.1095-8312.1985.tb01635.x
   BRAKEFIELD PM, 1985, HEREDITY, V54, P9, DOI 10.1038/hdy.1985.3
   BRAKEFIELD PM, 1984, J ANIM ECOL, V53, P775, DOI 10.2307/4659
   BRAKEFIELD PM, 1984, HEREDITY, V53, P37, DOI 10.1038/hdy.1984.61
   Brisson JA, 2005, EVOLUTION, V59, P1046
   BURNET B, 1980, GENET RES, V36, P235, DOI 10.1017/S0016672300019868
   CARROLL SB, 1995, NATURE, V376, P479, DOI 10.1038/376479a0
   Clusella Trullas S, 2007, J THERM BIOL, V32, P235, DOI 10.1016/j.jtherbio.2007.01.013
   COYNE JA, 1983, AM NAT, V122, P474, DOI 10.1086/284150
   Dombeck I, 2004, EVOLUTION, V58, P587, DOI 10.1111/j.0014-3820.2004.tb01681.x
   Ellers J, 2004, BIOL J LINN SOC, V82, P79, DOI 10.1111/j.1095-8312.2004.00319.x
   Gibbs AG, 1997, J EXP BIOL, V200, P1821
   Gibbs AG, 2001, J EXP BIOL, V204, P2331
   GUPPY CS, 1986, OECOLOGIA, V70, P205, DOI 10.1007/BF00379241
   *IITM, 2006, MONTHL SURF TEMP DAT
   Kettlewell B., 1973, EVOLUTION MELANISM S
   KIMURA MT, 1994, J NAT HIST, V28, P401, DOI 10.1080/00222939400770181
   KINGSOLVER JG, 1991, AM NAT, V137, P816, DOI 10.1086/285195
   MARKOW TA, 1992, HEREDITY, V69, P122, DOI 10.1038/hdy.1992.104
   Markow TA, 1996, ANIM BEHAV, V52, P759, DOI 10.1006/anbe.1996.0220
   Parkash R, 2005, PHYSIOL ENTOMOL, V30, P353, DOI 10.1111/j.1365-3032.2005.00470.x
   PARTRIDGE L, 1987, ANIM BEHAV, V35, P468, DOI 10.1016/S0003-3472(87)80272-5
   RETTENMEYER CW, 1970, ANNU REV ENTOMOL, V15, P43, DOI 10.1146/annurev.en.15.010170.000355
   Rhamhalinghan M., 1999, Journal of Insect Science, V12, P22
   ROLAND J, 1982, OECOLOGIA, V53, P214, DOI 10.1007/BF00545666
   SABATH MD, 1973, AM MIDL NAT, V90, P509, DOI 10.2307/2424482
   STATHAKIS DG, 1995, GENETICS, V141, P629
   True JR, 2003, TRENDS ECOL EVOL, V18, P640, DOI 10.1016/j.tree.2003.09.006
   Verhoog MD, 1998, ANIM BEHAV, V56, P683, DOI 10.1006/anbe.1998.0801
   Wittkopp PJ, 2003, TRENDS GENET, V19, P495, DOI 10.1016/S0168-9525(03)00194-X
   WRIGHT TRF, 1987, ADV GENET, V24, P127, DOI 10.1016/s0065-2660(08)60008-5
   Zar HJ, 1996, Biostatistical analysis, V3rd
NR 34
TC 73
Z9 79
U1 0
U2 12
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1933-6934
EI 1933-6942
J9 FLY
JI Fly
PD MAY-JUN
PY 2008
VL 2
IS 3
BP 111
EP 117
DI 10.4161/fly.6351
PG 7
WC Biochemistry & Molecular Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology
GA 336NW
UT WOS:000258372900002
PM 18820467
DA 2025-01-10
ER

PT J
AU Roberg, S
   Stormo, SK
   Landfald, B
AF Roberg, Stian
   Stormo, Svein Kristian
   Landfald, Bjarne
TI Persistence and biodegradation of kerosene in high-arctic intertidal
   sediment
SO MARINE ENVIRONMENTAL RESEARCH
LA English
DT Article
DE hydrocarbons; kerosene; bioremediation; intertidal zone; Arctic;
   Svalbard
ID OIL-SPILL BIOREMEDIATION; CRUDE-OIL; MICROBIAL-DEGRADATION; FUEL-OIL;
   BACTERIA; BEACH; HYDROCARBONS; SEA; FERTILIZATION; ENVIRONMENT
AB A kerosene type hydrocarbon fraction (equivalent to 7 L m(-2)) was added to enclosures in the surface layer of high-arctic intertidal beach sediment. The experimental spill was repeated in two consecutive years in the period July-September. The rate and extent of hydrocarbon removal and the accompanying bacterial response were monitored for 79 days (2002) and 78 days (2003). The bulk of added kerosene, i.e. 94-98%, was lost from the upper 5 cm. layer by putatively abiotic processes within 2 days and a residual fraction in the range 0.6-1.2 mg per g dry sediment was stably retained. Concomitant addition of oleophilic fertilizer led to higher initial retention, as 24% of the kerosene remained after 2 days in the presence of a modified, cold-climate adapted version of the well-known Inipol EAP 22 bioremediation agent. In these enclosures, which showed an increase in hydrocarbon-degrader counts from 6.5 x 10(3) to 4. 1 X 10(7) per g dry sediment within 8 days, a 17% contribution by biodegradation to subsequent hydrocarbon removal was estimated. Stimulation in hydrocarbon-degrader counts in fertilizer-alone control enclosures was indistinguishable from the stimulation observed with both kerosene and fertilizer present, suggesting that the dynamics in numbers of hydrocarbon-degrading bacteria was primarily impacted by the bioremediation agent. (c) 2007 Elsevier Ltd. All rights reserved.
C1 Univ Tromso, Norwegian Coll Fishery Sci, NO-9037 Tromso, Norway.
C3 UiT The Arctic University of Tromso
RP Landfald, B (corresponding author), Univ Tromso, Norwegian Coll Fishery Sci, NO-9037 Tromso, Norway.
EM bjarne.landfald@nfh.uit.no
CR Anderson OR, 2001, MICROBIAL ECOL, V42, P474, DOI 10.1007/s00248-001-0008-x
   ASPILA KI, 1976, ANALYST, V101, P187, DOI 10.1039/an9760100187
   ATLAS RM, 1981, MICROBIOL REV, V45, P180, DOI 10.1128/MMBR.45.1.180-209.1981
   ATLAS RM, 1972, BIOTECHNOL BIOENG, V14, P309, DOI 10.1002/bit.260140304
   Bachoon DS, 2001, J IND MICROBIOL BIOT, V27, P72, DOI 10.1038/sj.jim.7000165
   BLUMER M, 1972, SCIENCE, V176, P1120, DOI 10.1126/science.176.4039.1120
   Bradley EK, 1997, MOL DIVERS, V3, P1, DOI 10.1023/A:1009698309407
   BRAGG JR, 1994, NATURE, V368, P413, DOI 10.1038/368413a0
   BROWN EJ, 1990, APPL ENVIRON MICROB, V56, P3895, DOI 10.1128/AEM.56.12.3895-3896.1990
   Choi SC, 2002, J MICROBIOL BIOTECHN, V12, P431
   Dandie CE, 2001, LETT APPL MICROBIOL, V32, P26, DOI 10.1046/j.1472-765x.2001.00848.x
   Delille D, 2000, MAR ENVIRON RES, V49, P403, DOI 10.1016/S0141-1136(99)00080-X
   Delille D, 1998, MAR ENVIRON RES, V45, P249, DOI 10.1016/S0141-1136(97)00129-3
   Delille D, 2002, MICROBIAL ECOL, V44, P118, DOI 10.1007/s00248-001-1047-z
   Fingas MF, 2004, J HAZARD MATER, V107, P27, DOI 10.1016/j.jhazmat.2003.11.007
   Garrett RM, 2003, SPILL SCI TECHNOL B, V8, P297, DOI 10.1016/S1353-2561(03)00037-9
   GIBBS CF, 1975, PROC R SOC SER B-BIO, V188, P61, DOI 10.1098/rspb.1975.0003
   Haines JR, 1996, J IND MICROBIOL, V16, P36, DOI 10.1007/BF01569919
   Jarsjo J, 1997, J CONTAM HYDROL, V25, P113, DOI 10.1016/S0169-7722(96)00036-8
   JARSJO J, 1994, J CONTAM HYDROL, V17, P167, DOI 10.1016/0169-7722(94)90020-5
   JOBSON A, 1972, APPL MICROBIOL, V23, P1082, DOI 10.1128/AEM.23.6.1082-1089.1972
   KRAJEWSKI KP, 1992, STUDIA GEOLOGICA POL, V98, P171
   Ladousse A., 1991, Proceedings of the 1991 Oil Spill Conference (Prevention, Behaviour, Control, Cleanup), March 4-7, 1991, P577, DOI 10.7901/2169-3358-1991-1-577
   LEAHY JG, 1990, MICROBIOL REV, V54, P305, DOI 10.1128/MMBR.54.3.305-315.1990
   Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
   LEE K, 2000, P C OPP ENV APPL MAR
   Luna GM, 2002, APPL ENVIRON MICROB, V68, P3509, DOI 10.1128/AEM.68.7.3509-3513.2002
   Maki H, 2003, WATER AIR SOIL POLL, V145, P123, DOI 10.1023/A:1023628128404
   Margesin R, 1999, J CHEM TECHNOL BIOT, V74, P381
   MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
   Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
   Oh YS, 2001, MAR POLLUT BULL, V42, P1367, DOI 10.1016/S0025-326X(01)00166-7
   Oudot J, 1998, MAR ENVIRON RES, V45, P113, DOI 10.1016/S0141-1136(97)00024-X
   Pelletier E, 2004, MAR ENVIRON RES, V57, P311, DOI 10.1016/j.marenvres.2003.07.001
   Pernthaler J, 2001, METHOD MICROBIOL, V30, P207, DOI 10.1016/S0580-9517(01)30046-6
   Prince RC, 2003, SPILL SCI TECHNOL B, V8, P303, DOI 10.1016/S1353-2561(03)00036-7
   RIVET L, 1993, BIOTECHNOL LETT, V15, P637, DOI 10.1007/BF00138555
   Röling WFM, 2002, APPL ENVIRON MICROB, V68, P5537, DOI 10.1128/AEM.68.11.5537-5548.2002
   Santas R, 2000, MAR POLLUT BULL, V40, P434, DOI 10.1016/S0025-326X(99)00239-8
   Swannell RPJ, 1996, MICROBIOL REV, V60, P342, DOI 10.1128/MMBR.60.2.342-365.1996
   Swannell RPJ, 1999, ENVIRON TECHNOL, V20, P863, DOI 10.1080/09593332008616881
   Swannell RPJ, 1995, SPILL SCI TECHNOL B, V2, P151, DOI 10.1016/S1353-2561(96)00012-6
   SWANNELL RPJ, 2000, MICROBIOL BIOSYSTEMS, P759
   Venosa AD, 1997, J IND MICROBIOL BIOT, V18, P131, DOI 10.1038/sj.jim.2900304
   Wright AL, 1997, WATER AIR SOIL POLL, V95, P179, DOI 10.1023/A:1026408107505
   Xia WX, 2006, ENG LIFE SCI, V6, P80, DOI 10.1002/elsc.200620113
   Xu R, 2003, J ENVIRON QUAL, V32, P1234, DOI 10.2134/jeq2003.1234
   Xu R, 2003, WORLD J MICROB BIOT, V19, P719, DOI 10.1023/A:1025116421986
   Zhu X., 2004, LIT REV USE COMMERCI
NR 49
TC 15
Z9 15
U1 0
U2 11
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0141-1136
EI 1879-0291
J9 MAR ENVIRON RES
JI Mar. Environ. Res.
PD OCT
PY 2007
VL 64
IS 4
BP 417
EP 428
DI 10.1016/j.marenvres.2007.03.003
PG 12
WC Environmental Sciences; Marine & Freshwater Biology; Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology;
   Toxicology
GA 213OO
UT WOS:000249677200003
PM 17493677
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Nyamwanza, AM
   New, M
AF Nyamwanza, Admire M.
   New, Mark
TI Anticipatory adaptation and the role of decadal climate information in
   rural African livelihood systems Lessons from the Mid-Zambezi Valley,
   Zimbabwe
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Anticipatory adaptation; Decadal climate information; Livelihoods; Rural
   farming systems
AB Purpose - This study aims to explore the utility of anticipatory adaptation to climate variability and related livelihood sensitivities in rural African contexts using the case of Mbire district situated in the mid-Zambezi valley region of Zimbabwe. The provision of decadal climate information (up to ten years), as part of an anticipatory adaptation package, is at the centre of analysis.
   Design/methodology/approach - The study used semi-structured and key informant interviews, with a total of 45 semi-structured interviews being conducted with randomly selected long-term communal farmers in the case study area. Whilst data from semi-structured interviews was arranged in Microsoft Excel, thematic analysis was used in analyzing all data.
   Findings - Anticipatory adaptation and decadal climate projections are shown to potentially enhance flexibility in adaptation planning vis-alpha-vis responding to climate variability and other challenges, as well as reduce chances of maladaptation in responding to climate challenges in the context of multiple and reinforcing stresses and shocks.
   Originality/value - Anticipatory adaptation, with its three main pillars of future analysis, flexibility of strategies and proactive action, is emerging as key in assisting adaptation planning, the harnessing of opportunities and decision-making vis-alpha-vis responding to climate uncertainties and related livelihood sensitivities. Yet there have not been much empirically grounded analyses in understanding the role of anticipatory adaptation in rural Africa. This study therefore adds to evidence-based analyses towards understanding the role and utility of anticipatory adaptation in local communities in Africa.
C1 [Nyamwanza, Admire M.; New, Mark] Univ Cape Town, African Climate & Dev Initiat, ZA-7925 Cape Town, South Africa.
C3 University of Cape Town
RP Nyamwanza, AM (corresponding author), Univ Cape Town, African Climate & Dev Initiat, ZA-7925 Cape Town, South Africa.
EM anyamwanza@gmail.com
RI New, Mark/A-7684-2008
OI New, Mark/0000-0001-6082-8879
FU CGIAR programme on Climate Change, Agriculture and Food Security (CCAFS)
FX Research for this article was part of work on the project "Emerging
   Climate Risks, Agriculture and Food Security" funded by the CGIAR
   programme on Climate Change, Agriculture and Food Security (CCAFS). The
   authors would like to thank the funders, and all team members of this
   CCAFS project at the African Climate and Development Initiative,
   University of Cape Town, who helped with suggestions on refining
   research tools and conducting the fieldwork as well as commenting on
   results.
CR Anderson B., 2010, PROGR HUMAN GEOGRAPH
   [Anonymous], 2008, CLIMATE CHANGE ADAPT
   [Anonymous], 2007, IMP AD VULN
   Baudron F, 2011, BIOL CONSERV, V144, P1481, DOI 10.1016/j.biocon.2011.01.017
   Blench R, 1999, NATL RESOURCE PERSPE
   Boyle M, 2011, ADV GLOB CHANGE RES, V42, P461, DOI 10.1007/978-94-007-0567-8_34
   CARE, 2011, AFR AD S MARCH 2011
   Dessai S, 2004, CLIMATE POLICY
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   Goddard L, 2012, B AM METEOROL SOC, V93, P621, DOI 10.1175/BAMS-D-11-00220.1
   Hansen J., 2004, ROLE CLIMATE PERCEPT
   Hansen J.W., 2007, SAT EJOURNAL, V4
   Intergovernmental Panel on Climate Change (IPCC), 2014, NEAR TERM CLIM CHANG
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kuruppu N, 2015, WEATHER CLIM EXTREME, V7, P72, DOI [10.1016/j.wace.2014.06.001, 10.1010/j.wace.2014.06.001]
   Mcdowell J.Z., 2010, ADAPTATION OR MALADA
   Meehl GA, 2009, B AM METEOROL SOC, V90, P1467, DOI 10.1175/2009BAMS2778.1
   Mehta V, 2011, B AM METEOROL SOC, V92, P637, DOI 10.1175/2010BAMS3025.1
   Mupangwa J.F., 2006, J SUSTAINABLE DEV
   Nyamudeza P., 1999, WATER AGR ZIMBABWE P
   Nyamwanza AM, 2012, THESIS
   O'Brien K., 2000, IS INFORM ENOUGH USE
   Osborn F.V., 2002, PACHYDERM, V33, P32
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Pwiti Gilbert., 1996, S AFR ARCHAEOL BULL, V51, P3, DOI DOI 10.2307/3888926
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Rikkonen P, 2006, FORESIGHT, V8, P66, DOI 10.1108/14636680610647156
   Serrao-Neumann S, 2013, PLAN PRACT RES, V28, P440, DOI 10.1080/02697459.2013.795788
   Tschakert P, 2010, ECOL SOC, V15
   UK Met Office, 2015, DEC FOR
   Vera C, 2010, PROCEDIA ENVIRON SCI, V1, P275, DOI 10.1016/j.proenv.2010.09.017
   Vermeulen S., 2012, RAIN LONG FORETOLD E
   WEINER M, 1983, COMP POLIT, V16, P35, DOI 10.2307/421594
NR 33
TC 3
Z9 3
U1 1
U2 15
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2016
VL 8
IS 2
BP 236
EP 252
DI 10.1108/IJCCSM-03-2015-0029
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DJ3XY
UT WOS:000374141200005
DA 2025-01-10
ER

PT J
AU Fankhauser, S
   McDermott, TKJ
AF Fankhauser, Samuel
   McDermott, Thomas K. J.
TI Understanding the adaptation deficit: Why are poor countries more
   vulnerable to climate events than rich countries?
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Adaptation; Development; Extreme events; Disaster risk
ID ECONOMIC-DEVELOPMENT; NATURAL DISASTERS; ADAPTIVE CAPACITY; RARE
   DISASTERS; DAMAGE COSTS; CYCLONES; LOSSES; INCOME
AB Poor countries are more heavily affected by extreme weather events and future climate change than rich countries. One of the reasons for this is the so-called adaptation deficit, that is, limits in the ability of poorer countries to adapt. This paper analyses the link between income and adaptation to climate events theoretically and empirically. We postulate that the adaptation deficit may be due to two factors: A demand effect, whereby the demand for the good "climate security" increases with income, and an efficiency effect, which works as a spill-over externality on the supply-side: Adaptation productivity in high-income countries is enhanced because of factors like better public services and stronger institutions. Using panel data from the Munich Re natural catastrophe database we find strong evidence for a demand effect for adaptation to two climate-related extreme events, tropical cyclones and floods. Evidence on the efficiency effect is more equivocal. There are some indications that adaptation in rich countries might be more efficient, but the evidence is far from conclusive. The implication for research is that better data, in particular on adaptation effort, need to be collected to understand adaptation efficiency. In terms of policy, we conclude that inclusive growth policies (which boost adaptation demand) should be an important component of international efforts to close the adaptation deficit. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Fankhauser, Samuel] London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AE, England.
   London Sch Econ, CCCEP, London WC2A 2AE, England.
C3 University of London; London School Economics & Political Science;
   University of London; London School Economics & Political Science
RP Fankhauser, S (corresponding author), London Sch Econ, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England.
EM s.fankhauser@lse.ac.uk
OI Fankhauser, Samuel/0000-0003-2100-7888; McDermott, Thomas
   K.J./0000-0002-1418-2197
FU Global Green Growth Institute; Grantham Foundation for the Protection of
   the Environment; Economic and Social Research Council (ESRC) through the
   Centre for Climate Change Economics and Policy [ES/K006576/1]; ESRC
   [ES/K006576/1] Funding Source: UKRI
FX This research is part of the green growth programme at the Grantham
   Research Institute, which is funded by the Global Green Growth
   Institute, as well as the Grantham Foundation for the Protection of the
   Environment, and the Economic and Social Research Council (ESRC) (Grant
   No. ES/K006576/1) through the Centre for Climate Change Economics and
   Policy. We are grateful to Munich Re for granting us access to their
   Natural Catastrophe database, and to Laura Bakkensen, Federico Belotti,
   Jonathan Colmer, Stephene Hallegatte, Cameron Hepburn, Adriana
   Kocornik-Mina, Stefania Lovo, Michael Mullan, Eric Neumayer, Nicola
   Ranger, Malcolm Smart, Swenja Surminski, the journal editors and two
   anonymous referees for their comments and feedback. The usual disclaimer
   applies.
CR Aigner D., 1977, J. Econ., V6, P21, DOI [DOI 10.1016/0304-4076(77)90052-5, 10.1016/0304-4076(77)90052-5]
   Anbarci N, 2005, J PUBLIC ECON, V89, P1907, DOI 10.1016/j.jpubeco.2004.08.002
   [Anonymous], 2013, A Report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics
   [Anonymous], 5617 WORLD BANK
   [Anonymous], 2012, MANAGING RISKS EXTRE
   Bakkensen L., 2013, ADAPTATION NAT UNPUB
   Barr R, 2010, MITIG ADAPT STRAT GL, V15, P843, DOI 10.1007/s11027-010-9242-1
   Barro RJ, 2006, Q J ECON, V121, P823, DOI 10.1162/qjec.121.3.823
   Bowen A, 2012, CLIMATIC CHANGE, V113, P95, DOI 10.1007/s10584-011-0346-8
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Burton Ian., 2009, EARTHSCAN READER ADA
   Committee on Climate Change, 2014, FLOOD COAST ER RISK
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Gabaix X, 2008, AM ECON REV, V98, P64, DOI 10.1257/aer.98.2.64
   Gall M, 2009, B AM METEOROL SOC, V90, P799, DOI 10.1175/2008BAMS2721.1
   Greene W, 2004, HEALTH ECON, V13, P959, DOI 10.1002/hec.938
   Guha-Sapir Debby., 2002, The Quality and Accuracy of Disaster Data: A Comparative Analyses of Three Global Data Sets
   Hallegatte S, 2013, 780 FOND EN E MATT
   Hsiang SM, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250011X
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Isaksson A., 2007, DETERMINANTS TOTAL F
   Kahn ME, 2005, REV ECON STAT, V87, P271, DOI 10.1162/0034653053970339
   Keefer P, 2011, WORLD DEV, V39, P1530, DOI 10.1016/j.worlddev.2011.02.010
   Kellenberg DK, 2008, J URBAN ECON, V63, P788, DOI 10.1016/j.jue.2007.05.003
   Martin R., 2011, SUPPORTING RES CCC 2
   McDermott T.K.J., 2013, OXF EC PAP
   MEEUSEN W, 1977, INT ECON REV, V18, P435, DOI 10.2307/2525757
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Miao Q., 2013, 19223 NBER
   Neumayer E., 2013, GLOBAL ENV CHANGE
   Nordhaus WD, 2010, CLIM CHANG ECON, V1, DOI 10.1142/S2010007810000054
   Norris FH, 2002, PSYCHIATRY, V65, P207, DOI 10.1521/psyc.65.3.207.20173
   Noy I, 2009, J DEV ECON, V88, P221, DOI 10.1016/j.jdeveco.2008.02.005
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Schelling TC, 1997, FOREIGN AFF, V76, P8, DOI 10.2307/20048272
   SCHELLING TC, 1992, AM ECON REV, V82, P1
   Schumacher I, 2011, ECOL ECON, V72, P97, DOI 10.1016/j.ecolecon.2011.09.002
   Strobl E., 2010, J DEV ECON, V97, P130
   Strobl E, 2011, REV ECON STAT, V93, P575, DOI 10.1162/REST_a_00082
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Tol RSJ, 2002, ENVIRON RESOUR ECON, V21, P135, DOI 10.1023/A:1014539414591
   Tol RSJ, 2002, ENVIRON RESOUR ECON, V21, P47, DOI 10.1023/A:1014500930521
   Toya H, 2007, ECON LETT, V94, P20, DOI 10.1016/j.econlet.2006.06.020
   van Geloof E.W., 2012, ADAPTATION MITIGATIO
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 45
TC 125
Z9 143
U1 3
U2 65
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JUL
PY 2014
VL 27
BP 9
EP 18
DI 10.1016/j.gloenvcha.2014.04.014
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 AO0HT
UT WOS:000340990400002
OA Green Submitted, Green Published
DA 2025-01-10
ER

PT C
AU West, MK
   Brooke, T
AF West, Michael K.
   Brooke, Thomas
GP ASHRAE
TI Improvement of IEER Rating and Dehumidification Capability in Unitary DX
   Equipment
SO 2013 ASHRAE ANNUAL CONFERENCE
SE ASHRAE Annual Conference Papers
LA English
DT Proceedings Paper
CT ASHRAE Annual Conference
CY JUN 22-26, 2013
CL Denver, CO
SP ASHRAE
AB Variation of the refrigeration circuit and evaporator coil arrangement from conventional unitary air-conditioning equipment is proposed to improve energy efficiency and dehumidification performance. This paper presents the modeling and results of variations culminating from an extensive evaluation of limitations in current unitary equipment design, focusing on latent capacity boundaries and suboptimal heat transfer in the evaporator coil. Analysis using the DOE/ORNL Heat Pump Design Model and other software shows that refrigerant condition through the evaporator coil can be controlled to increase refrigerant phase change heat transfer by maximizing liquid refrigerant fraction.
   The relatively low critical point temperature of R-410a limits subcooling at high ambient temperatures occurring in hot climates. In humid climates, another concern is elevated suction pressure, relative to other refrigerants, which inhibits dehumidification. Modeling indicates that maximizing the presence of liquid refrigerant at the boiling point in the evaporator coil significantly increases EER (Energy Efficiency Ratio, Btuh cooling per Watt electric power) because boiling heat transfer coefficient in the liquid-nucleate regime is much greater than in vapor-mist refrigerant regime. The proposed cycle modifications allows synergistic optimization of tube circuiting, face area, and fin density of the evaporator coil, in combination with a controllable return air bypass, to achieve a 15% to 30% improvement in IEER (Integrated Energy Efficiency Ratio, weighted Btuh per Watt according to ANSI/AHRI Standard 340/360-2007). Energy consumption of modified units operating in a hot & arid climates is predicted to be reduced as well, indicating this technology renders a much improved adaptability to climate and load.
C1 [West, Michael K.] Advantek Consulting Engn, Melbourne, FL 32901 USA.
   [Brooke, Thomas] Advantek Consulting Engn, Ocala, FL USA.
RP West, MK (corresponding author), Advantek Consulting Engn, Melbourne, FL 32901 USA.
FU DoD Environmental Security Technology Certification Program (ESTCP)
FX Thanks to the many people who helped make this work possible, including
   Dr. Jim Galvin and Dr. Jeffery Marqusee of the DoD Environmental
   Security Technology Certification Program (ESTCP), Ted Cherubin and
   Michael Taras of Carrier Corporation, Kevin Riley of Indyne Corporation,
   and Christopher Cook of Booze Allen Hamilton.
CR Amrane K, 2003, ASHRAE J, V45, P28
   Brown J. S., CYCLE NIST VAPOR COM
   Dieckmann John, 2009, ASHRAE J
   Donald P., 2009, ASHRAE J
   Mumma S., 2001, ASHRAE Journal
   Murphy John, 2010, TRANE ENG NEWSLETTER
   Rice Keith, 2006, DEV DOEORNL HEAT PUM
   Taras Michael F, 2004, ASHRAE J
   Taras Michael F., 2005, ASHRAE J
   West Michael, 2010, HPAC ENG
   Westphalen D, 2004, ASHRAE J, V46, P38
   Westphalen Detlef, 2004, ASHRAE J
NR 12
TC 0
Z9 0
U1 0
U2 0
PU AMER SOC HEATING, REFRIGERATING AND AIR-CONDITIONING ENGS
PI ATLANTA
PA 1791 TULLIE CIRCLE NE, ATLANTA, GA 30329 USA
SN 2578-5257
J9 ASHRAE ANN CONF PAP
PY 2013
PG 8
WC Thermodynamics; Construction & Building Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Thermodynamics; Construction & Building Technology
GA BS9KP
UT WOS:000782291600018
DA 2025-01-10
ER

PT J
AU Zazula, N
   Birchall, SJ
AF Zazula, Nickolas
   Birchall, S. Jeff
TI Urban resilience through ecosystem services in Edmonton, Canada: an
   assessment of gaps and recommendations
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Climate adaptation; Climate change; Accessibility; Natural systems;
   Urban planning
ID CLIMATE-CHANGE; ADAPTATION; VULNERABILITY
AB Climate change is predicted to cause severe economic, social, and environmental impacts to cities across the globe. As such, it is paramount for cities to implement cost-effective and functional adaptation policies that reduce these negative impacts. One such approach is the incorporation of ecosystems services into the built environment as a form of green infrastructure. This approach leverages the provisioning, regulating, supporting, and cultural services of ecosystems to build urban resilience that persists with ongoing climate uncertainty. To connect concepts in literature to planning policy and contribute a Canadian example to global discourse, this paper has two overarching objectives: (1) to assess the extent to which the City of Edmonton's policy approach to build urban resilience includes ecosystem services; and, (2) to identify gaps in this approach and provide recommendations for improvement. Findings highlight that ecosystem services are associated with the key themes of climate resilience, public health benefits, biodiversity preservation and economic savings. This research also identifies key gaps in Edmonton's resilience-building endeavor which include the frequent separation of human and non-human systems, limited consideration for social accessibility, and an underdeveloped approach to ecosystem service evaluation. Recommendations are provided to address these gaps.
   The adaptive capacity of ecosystems supports urban resilience.Edmonton leverages ecosystems for climate, health, and economic benefits.Human and non-human systems are viewed as separate, limiting policy effectiveness.Equity and accessibility should be better incorporated into ecosystem provisioning.The urban integration of green infrastructure benefits from a systems approach.
C1 [Zazula, Nickolas; Birchall, S. Jeff] Univ Alberta, Sch Urban & Reg Planning, Dept Earth & Atmospher Sci, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
C3 University of Alberta
RP Birchall, SJ (corresponding author), Univ Alberta, Sch Urban & Reg Planning, Dept Earth & Atmospher Sci, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
EM jeff.birchall@ualberta.ca
RI Birchall, S Jeff/HOF-3329-2023
OI Birchall, S. Jeff/0000-0002-4508-6720
CR Baum F, 2018, BMJ OPEN, V8, DOI 10.1136/bmjopen-2018-025358
   Birchall SJ, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101348
   Birchall SJ, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101062
   Bouma JA, 2015, ECOSYSTEM SERVICES: FROM CONCEPT TO PRACTICE, P1, DOI 10.1017/CBO9781107477612
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Brymer E, 2020, NATURE HLTH PHYS ACT
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Campbell LK, 2016, ENVIRON SCI POLICY, V62, P34, DOI 10.1016/j.envsci.2016.01.014
   Carmen E, 2022, AMBIO, V51, P1371, DOI 10.1007/s13280-021-01678-9
   CIP (Canadian Institute of Planners), 2023, CODES PROFESSIONAL C
   City of Edmonton, 1994, ROADW PARKS NAT MAST
   City of Edmonton, 2020, EDM CIT PLAN
   Clary J., 2017, Cost of maintaining green infrastructure
   Daniels B, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235492
   Deschenes O, 2022, CAN J ECON, V55, P1227, DOI 10.1111/caje.12609
   Drake J, 2017, REWILDING GIVING NAT
   Dunn RM, 2022, HYDROL PROCESS, V36, DOI 10.1002/hyp.14733
   EPCOR, 2022, DRAIN VOL 3 02 STORM, V3
   Epelde L, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127433
   Ford JD, 2018, ENVIRON REV, V26, P82, DOI 10.1139/er-2017-0027
   Government of Alberta, 2021, EDMONTON POPULATION
   Government of Alberta, 2021, EDMONTON NUMBER BUSI
   Hilty JA, 2019, ISLAND
   Holmes G, 2020, CONSERV SOC, V18, P77, DOI 10.4103/cs.cs_19_14
   Jiang RG, 2017, THEOR APPL CLIMATOL, V127, P725, DOI 10.1007/s00704-015-1664-y
   Kehler S, 2021, ENVIRON SCI POLICY, V124, P471, DOI 10.1016/j.envsci.2021.07.025
   Khavari AA, 2015, RES HDB HUMAN RIGHTS, P508
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Maller C, 2021, CITIES, V113, DOI 10.1016/j.cities.2021.103155
   Martin A, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105677
   Melathopoulos AP, 2015, ECOL ECON, V117, P173, DOI 10.1016/j.ecolecon.2015.06.023
   Metzger J, 2018, CAN CRAFT PLANNING B
   Metzger J, 2020, ROUTL COMPANIONS, P190
   Monclus J, 2018, URBAN VISIONS, P33, DOI [10.1007/978-3-319-59047-9_4, DOI 10.1007/978-3-319-59047-9_4]
   Mosissa ST, 2023, URBAN FOR URBAN GREE, V85, DOI 10.1016/j.ufug.2023.127965
   Newell JP, 2022, CITIES, V125, DOI 10.1016/j.cities.2022.103664
   Peng WCY, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101136
   Reckner M., 2023, RESILIENCE, DOI [10.1080/23789689.2022.2148449, DOI 10.1080/23789689.2022.2148449]
   Rey F, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011150
   Ridha T, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102883
   Ristorini M, 2023, URBAN CLIM, V50, DOI 10.1016/j.uclim.2023.101579
   Rizzati M, 2023, SPAT ECON ANAL, V18, P23, DOI 10.1080/17421772.2022.2096917
   Ruegg, RELATIONAL PLANNING, P99, DOI [10.1007/978-3-319-60462-6_5, DOI 10.1007/978-3-319-60462-6_5]
   Saleh I, 2018, INT J ENVIRON SCI TE, V15, P811, DOI 10.1007/s13762-017-1411-2
   Sax DL, 2023, ENVIRON PLAN E-NAT, V6, P2008, DOI 10.1177/25148486221123134
   Seddon N, 2021, GLOBAL CHANGE BIOL, V27, P1518, DOI 10.1111/gcb.15513
   Suen IS, 2022, EARTH-BASEL, V3, P733, DOI 10.3390/earth3020041
   Terton A, 2017, BUILDING CLIMATE RES
   Tibesigwa B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102853
   Umar F., 2022, JURNAL WILAYAH DAN L, V10, P15, DOI [10.14710/jwl.10.1.15-29, DOI 10.14710/JWL.10.1.15-29]
   Usher M, 2021, ENVIRON PLAN E-NAT, V4, P1487, DOI 10.1177/2514848620959589
   Wakefield S, 2020, ENVIRON PLAN E-NAT, V3, P761, DOI 10.1177/2514848619887461
   Zhang LQ, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101451
NR 54
TC 0
Z9 0
U1 16
U2 21
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD OCT
PY 2024
VL 27
IS 5
BP 1819
EP 1835
DI 10.1007/s11252-024-01561-x
EA MAY 2024
PG 17
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA G4T9W
UT WOS:001228196600001
DA 2025-01-10
ER

PT J
AU Aqib, S
   Seraj, M
   Ozdeser, H
   Khalid, S
   Raza, MH
   Ahmad, T
AF Aqib, Sohaib
   Seraj, Mehdi
   Ozdeser, Huseyin
   Khalid, Sidra
   Raza, Muhammad Haseeb
   Ahmad, Taimoor
TI Assessing adaptive capacity of climate-vulnerable farming communities in
   flood-prone areas: Insights from a household survey in South Punjab,
   Pakistan
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change; Adaptive capacity; Farmer perceptions; Adaptation
   strategies; Flood-prone; Pakistan
ID FARMERS PERCEPTIONS; CHANGE ADAPTATION; RISK PERCEPTIONS; LEVEL
   ADAPTATION; PROBIT; DETERMINANTS; VARIABILITY; STRATEGIES; BEHAVIOR
AB Climate change poses a significant threat to agricultural systems worldwide. In Pakistan, an agrarian country where the majority of the population relies on agriculture for their livelihoods, the impacts of climate change can be particularly devastating. Understanding the adaptive capacity of farmers is crucial in order to identify effective strategies for coping with the impacts of climate change. This study aimed to assess the adaptive capacity of farmers in Rajanpur and Dera Ghazi Khan, two flood-prone districts of South Punjab, Pakistan. Data were collected in October 2022 from 448 farmers through multistage stratified random sampling, and multivariate regression and bivariate probit models were used to analyze the likelihood of farmers adopting certain joint strategies and the impact of socioeconomic factors on their decision-making. Results indicated that concern for climate change and knowledge of market value of crops were significant determinants for farmers adopting joint strategies, while farmers with more experience and alternate sources of income were less likely to do so. Increased irrigation was a top strategy used despite its potential negative environmental impacts. Findings highlight the need for a holistic approach to climate adaptation that considers complex social, economic, and environmental factors and appreciates the complex decision-making process that farmers undergo. Understanding the local context is key to developing effective interventions to support climate resilience and sustainable livelihoods in agricultural communities.
C1 [Aqib, Sohaib; Seraj, Mehdi; Ozdeser, Huseyin] Near East Univ, Dept Econ, Fac Econ & Adm Sci, Nicosia, Cyprus.
   [Khalid, Sidra] Int Water Management Inst, Lahore, Pakistan.
   [Raza, Muhammad Haseeb] MNS Univ Agr, Dept Agribusiness & Appl Econ, Multan, Pakistan.
   [Ahmad, Taimoor] Ardis Res & Consultancy, Islamabad, Pakistan.
C3 Near East University; CGIAR; International Water Management Institute
   (IWMI); PCSIR Laboratories Complex
RP Aqib, S (corresponding author), Near East Univ, Dept Econ, Fac Econ & Adm Sci, Nicosia, Cyprus.
EM sohaibaqib@yahoo.com; mehdi.seraj@neu.edu.tr;
   huseyin.ozdeser@neu.edu.tr; s.khalid@cgiar.org;
   haseeb.raza@mnsuam.edu.pk
RI Seraj, Mehdi/AAS-1213-2020; khalid, sidra/KOD-4672-2024; Raza, Muhammad
   Haseeb/AEP-9693-2022; Ahmad, Taimoor/GLU-0552-2022
OI Khalid, Sidra/0000-0003-4963-0583; Raza, Muhammad
   Haseeb/0000-0002-3555-1377; Ahmad, Taimoor/0000-0002-1648-2353; Aqib,
   Sohaib/0000-0002-6707-7227
CR Abbas A, 2016, J WATER CLIM CHANGE, V7, P621, DOI 10.2166/wcc.2016.002
   Abbas A, 2016, INT J SUST DEV WORLD, V23, P98, DOI 10.1080/13504509.2015.1111954
   Abbas Q, 2022, LAND USE POLICY, V119, DOI 10.1016/j.landusepol.2022.106184
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Aftab A, 2021, ECOL ECON, V182, DOI 10.1016/j.ecolecon.2020.106882
   Ahmad D, 2020, ENVIRON SCI POLLUT R, V27, P30767, DOI 10.1007/s11356-020-09368-x
   Ahmad D, 2020, ENVIRON SCI POLLUT R, V27, P15375, DOI 10.1007/s11356-020-08057-z
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amarnath G., 2017, Mapping multiple climate-related hazards in South Asia, V170
   [Anonymous], 2022, Climate change 2022: Impacts, adaptation and vulnerability, P2897, DOI [10. 1017/9781009325844.029, 10.1017/9781009325844.029, DOI 10.1017/9781009325844.029]
   [Anonymous], Floods
   [Anonymous], 2023, Al Jazeera
   Arshad M, 2017, INT J SUST DEV WORLD, V24, P532, DOI 10.1080/13504509.2016.1254689
   Bakare AY., 2023, World Dev Sustain, V2, DOI [10.1016/j.wds.2023.100047, DOI 10.1016/J.WDS.2023.100047]
   Baloch S. M., 2022, GUARDIAN
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Burke S., 2023, How Floods in Pakistan Threaten Global Security
   Christofides LN, 1997, ECON LETT, V54, P203, DOI 10.1016/S0165-1765(97)00025-6
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Faisal M, 2021, ENVIRON SCI POLLUT R, V28, P43777, DOI 10.1007/s11356-021-13771-3
   Federal Flood Commission (FFC), 2021, Annual Flood Report 2020
   Fila D, 2023, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-023-02999-3
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Govt. of Punjab, District Profile Dera Ghazi Khan
   Govt. of Punjab, District Profile Rajanpur
   Greene W.H., 2002, Alternative Panel Data Estimators for Stochastic Frontier Models"
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Hamidi AR, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101496
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Jamshed A., 2017, J EXTREME EVENTS, V4, P1750013, DOI 10.1142/S2345737617500130
   Jamshed A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141462
   Jamshed A, 2020, CLIM CHANG MANAG, P585, DOI 10.1007/978-3-030-37425-9_30
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Jha CK, 2021, ENVIRON SUSTAIN IND, V10, DOI 10.1016/j.indic.2021.100112
   Jongman B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04396-1
   Karki S, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1720555
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Kibue GW, 2016, ENVIRON MANAGE, V57, P976, DOI 10.1007/s00267-016-0661-y
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Kuzma S., 2020, The Number of People Affected by Floods Will Double Between 2010 and 2030
   Lohano HD, 2018, CLIM DEV, V10, P625, DOI 10.1080/17565529.2017.1372263
   Lwasa S, 2015, REG ENVIRON CHANGE, V15, P815, DOI 10.1007/s10113-014-0715-8
   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
   Ministry of Emergency Management Beijing Normal University National Disaster Reduction Centre of China (NDRCC) International Federation of Red Cross and Red Crescent Societies (IFRC), 2022, Global Natural Disaster Assessment Report 2021
   Mittal S, 2016, J AGRIC EDUC EXT, V22, P199, DOI 10.1080/1389224X.2014.997255
   Munir Ahmad Munir Ahmad, 2016, Pakistan Development Review, V55, P561
   Nadeem F, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01918-y
   National Disaster Management Authority (NDMA), 2022, NDMA Flood 2022 - Daily Situation Report No. 158 - 18 November 2022
   National Disaster Management Authority (NDMA), 2021, Annual Report 2021 - Striving for a Disaster Resilient Pakistan
   NOREEN E, 1988, J ACCOUNTING RES, V26, P119, DOI 10.2307/2491116
   Noreen E., 1989, Computer-intensive methods for testing hypotheses, P20
   Otto F.E., 2022, World Weather Attribution Scientific Report
   Pakistan Bureau of Statistics, Agriculture Statistics
   Pakistan Bureau of Statistics, 2017, 6th Population and Housing Census 2017
   Pakistan Bureau of Statistics, 2023, 7 POPULATION HOUSING
   Pakistan Meteorological Department (PMD), 2022, Pakistan Monsoon 2022 Rainfall Report
   Podesta J., 2019, The climate crisis, migration, and refugees
   Provincial Disaster Management Authority (PDMA), 2022, Daily Situation Report of Rain/Flood/Gauges - 16 Oct 2022
   Qazlbash SK, 2021, ENVIRON DEV, V37, DOI 10.1016/j.envdev.2020.100603
   Rahman S, 2008, ASIAN J AGRIC DEV, V5, P29
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Ruben R., 2019, AR4 CLIMATE CHANGE 2, P301, DOI [10.1007/978-3-319-92798-526, DOI 10.1007/978-3-319-92798-526, 10.1007/978-3-319-92798-5_26, DOI 10.1007/978-3-319-92798-5_26]
   Saqib SE, 2016, INT J DISAST RISK RE, V18, P107, DOI 10.1016/j.ijdrr.2016.06.007
   Shah AA, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101341
   Shah SMH, 2020, SCI AFR, V10, DOI 10.1016/j.sciaf.2020.e00651
   Shrestha MS., 2008, Journal of South Asia Disaster Study, V1, P85
   Sitati A, 2021, DISCOV SUSTAIN, V2, DOI 10.1007/s43621-021-00052-9
   Sterrett C., 2011, Oxfam Research Report
   Tamiminia H, 2020, ISPRS J PHOTOGRAMM, V164, P152, DOI 10.1016/j.isprsjprs.2020.04.001
   The Urban Unit Planning and Development Department Government of Punjab, 2019, Punjab Spatial Strategy 2047
   Ullah F, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101967
   UN-SPIDER, Step by Step Recommended Practice: Flood Mapping and Damage Assessment Using Sentinel 1 SAR Data in Google Earth Engine
   Waldman KB, 2019, CLIMATIC CHANGE, V156, P527, DOI 10.1007/s10584-019-02498-3
   Zhang MM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145784
NR 81
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 JAN
PY 2024
VL 33
AR 100444
DI 10.1016/j.cliser.2023.100444
EA DEC 2023
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 II5J6
UT WOS:001165707600001
OA gold
DA 2025-01-10
ER

PT J
AU Ruan, JM
   Liu, JP
AF Ruan, Jinming
   Liu, Jiaping
TI Investigation into the thermal comfort and some passive strategies for
   traditional architecture of Li nationality in South China
SO INDOOR AND BUILT ENVIRONMENT
LA English
DT Article
DE Traditional architecture; thermal comfort; passive strategies; Li
   nationality
ID HUMID CLIMATE; DWELLINGS; HOUSE; ADAPTATION; TYPOLOGY; BEHAVIOR
AB The ecological experience of traditional regional architecture provides an excellent reference for coping with increased energy consumption from cooling in tropical developing countries. However, the thermal comfort of traditional architecture and the effectiveness of its passive measures still need to be further verified in summertime conditions in hot and humid regions. In this study, we selected the traditional Li architecture, including boat- and Kim-shaped houses, for thermal environment tests. Subsequently, we analyzed the operative temperature and PMV-PPD index to determine their indoor thermal comfort and major passive strategies under hot summer conditions. Finally, we propose suggestions for improving the deficiencies of existing passive strategies. Our results show that the traditional Li architecture failed to satisfy indoor thermal comfort for more than half of the test time during the summer. Gable bottom openings and entry door ventilation can increase indoor ventilation with negligible increases in heat gain; however, existing ventilation efficiency is too low to substantially improve indoor thermal comfort. Additionally, we found that the evolution from boat- to Kim-shaped houses was not fully compatible with the significance of climatic adaptation. Kim-shaped houses benefited from the change in the envelope and external environment and its indoor moisture dissipation rate was accelerated; however, their eave shading made the wind speed attenuation more remarkable between indoor and outdoor. These results can help improve the indoor thermal comfort of traditional architecture in hot and humid regions.
C1 [Ruan, Jinming; Liu, Jiaping] Xian Univ Architecture & Technol, Sch Architecture, Xian, Peoples R China.
   [Ruan, Jinming] Xian Univ Architecture & Technol, 13 Yanta Rd, Xian 710055, Peoples R China.
C3 Xi'an University of Architecture & Technology; Xi'an University of
   Architecture & Technology
RP Ruan, JM (corresponding author), Xian Univ Architecture & Technol, 13 Yanta Rd, Xian 710055, Peoples R China.
EM ruanjinming@xauat.edu.cn
FU National Nature Science Foundation of China [51590910]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This
   research was financially sponsored by the National Nature Science
   Foundation of China (grant no. 51590910).
CR Aflaki A, 2015, ENERG BUILDINGS, V101, P153, DOI 10.1016/j.enbuild.2015.04.033
   Almusaed A., 2006, PLEA2006 THE23RD C P, P187
   [Anonymous], 2000, Moderate Thermal EnvironmentsDetermination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort
   [Anonymous], 2012, EFFECTS AIR HUMIDITY
   [Anonymous], 2017, ASHRAE HDB FUND
   ANSI/ASHRAE, 2020, Thermal Environmental Conditions for Human Occupancy
   Balbo R., 2006, 23 C PASSIVE LOW ENE, P6
   Chen TS, 2020, INDOOR BUILT ENVIRON, V29, P180, DOI 10.1177/1420326X19865930
   China Meteorological Data Service Centre, 2022, MET DAT HAINAN
   Dili AS, 2011, ENERG BUILDINGS, V43, P653, DOI 10.1016/j.enbuild.2010.11.006
   Dili AS, 2010, ENERG BUILDINGS, V42, P917, DOI 10.1016/j.enbuild.2010.01.002
   Edelman A., 2014, State of the Tropics 2014 report
   ELDIASTY R, 1992, ENERG BUILDINGS, V19, P61, DOI 10.1016/0378-7788(92)90036-G
   Feriadi H, 2003, BUILD RES INF, V31, P13, DOI 10.1080/0961321021000013830
   Fu J., 2020, J MATER CHEM A, V11, P145
   García-Arellano C, 2022, INDOOR BUILT ENVIRON, V31, P537, DOI 10.1177/1420326X211011700
   Huang J., 1997, ASIAN PAC J TROP MED, V4, P35
   Huang XD, 2022, INDOOR BUILT ENVIRON, V31, P139, DOI 10.1177/1420326X20978275
   Hwang RL, 2010, INDOOR AIR, V20, P235, DOI 10.1111/j.1600-0668.2010.00649.x
   Indraganti M, 2010, ENERG BUILDINGS, V42, P1019, DOI 10.1016/j.enbuild.2010.01.014
   Leo Samuel D. G., 2017, International Journal of Sustainable Built Environment, V6, P463, DOI 10.1016/j.ijsbe.2017.08.001
   Li SH, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101716
   Liu F, 2017, PROCEDIA ENGINEER, V205, P3662, DOI 10.1016/j.proeng.2017.10.240
   Liu XM., 2018, THESIS XIAN U ARCHIT
   Liu Y., 2018, HEAT VENT AIR COND, V48, P90
   Ma N., 2012, THESIS HUAZHONG U SC
   Majid NHA, 2012, PROCD SOC BEHV, V68, P637, DOI 10.1016/j.sbspro.2012.12.255
   Mohammadi A, 2018, J BUILD ENG, V16, P169, DOI 10.1016/j.jobe.2017.12.014
   Nabakov P., 1999, Traditional Dwellings and Settlements Review, V10, P69, DOI DOI 10.2307/23566265
   National Association of Area Agencies on Aging, 2021, CHIN STAT YB, P2
   Prasetyo YH, 2014, PROCEDIA ENVIRON SCI, V20, P162, DOI 10.1016/j.proenv.2014.03.022
   Priya RS, 2012, ENERG BUILDINGS, V49, P50, DOI 10.1016/j.enbuild.2011.09.033
   [钱忠华 Qian Zhonghua], 2010, [兰州大学学报. 自然科学版, Journal of Lanzhou University. Natural Science], V46, P41
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Saad H, 2019, MATER TODAY-PROC, V19, P1761, DOI 10.1016/j.matpr.2019.11.214
   Shastry V, 2014, INDOOR BUILT ENVIRON, V23, P543, DOI 10.1177/1420326X12461801
   Stazi F, 2017, ENERG BUILDINGS, V139, P732, DOI 10.1016/j.enbuild.2017.01.017
   Tian Y., 2003, Journal of HVAC, V04, P27
   Toe DHC, 2015, SOL ENERGY, V114, P229, DOI 10.1016/j.solener.2015.01.035
   Waite M, 2017, ENERGY, V127, P786, DOI 10.1016/j.energy.2017.03.095
   Wan YM., 2005, THESIS E CHINA NORMA
   Wang XP., 2004, LI ETHNIC GROUP CHIN, P272
   Wang Y., 2019, AMB EXPRESS, V4, P112
   Wu S., 2019, SPSS STAT THINKING, P111
   Xiao YQ, 2022, INDOOR BUILT ENVIRON, V31, P7, DOI 10.1177/1420326X20974736
   Yang DH., 2013, THESIS S CHINA U TEC
   Yang L, 2014, APPL ENERG, V115, P164, DOI 10.1016/j.apenergy.2013.10.062
   Yang M, 2022, INDOOR BUILT ENVIRON, V31, P80, DOI 10.1177/1420326X20975835
   Zeng ZZ., 2011, THESIS HUAZHONG U SC
   Zheng LP., 2003, ARCHITECTURAL J, V08, P65
   Zheng WH, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100824
   Zune M, 2020, SUSTAIN CITIES SOC, V54
NR 52
TC 4
Z9 4
U1 7
U2 32
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1420-326X
EI 1423-0070
J9 INDOOR BUILT ENVIRON
JI Indoor Built Environ.
PD AUG
PY 2023
VL 32
IS 7
BP 1349
EP 1371
DI 10.1177/1420326X231159888
EA MAR 2023
PG 23
WC Construction & Building Technology; Engineering, Environmental; Public,
   Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering; Public, Environmental &
   Occupational Health
GA L5VD2
UT WOS:000945723500001
DA 2025-01-10
ER

PT J
AU Wickenberg, B
   Kiss, B
   McCormick, K
   Palgan, YV
AF Wickenberg, Bjorn
   Kiss, Bernadett
   McCormick, Kes
   Palgan, Yuliya Voytenko
TI Seeds of Transformative Learning: Investigating Past Experiences From
   Implementing Nature-Based Solutions
SO FRONTIERS IN SUSTAINABLE CITIES
LA English
DT Article
DE nature-based solutions; implementation; governance; experimentation;
   transformative learning; sustainability; cities; climate adaptation
ID URBAN LIVING LABS; SUSTAINABLE DEVELOPMENT; KNOWLEDGE GOVERNANCE;
   LESSONS; CITIES; MANAGEMENT; BENEFITS; FRAMEWORK; SCIENCE; POLICY
AB Nature-based solutions (NBS) attract a growing interest in research and practice due to their potential to address climate change while improving human health and well-being and safeguarding biodiversity. The integration of the NBS concept in urban governance, however, is still emerging and it faces regulatory, political, financial and cognitive barriers. While the literature acknowledges an increase in NBS experimentation in cities and documents new governance approaches for NBS, academic knowledge on transformative learning to advance the potential of NBS is scarce. This article unpacks enabling and constraining factors for transformative learning through interpretative case study analysis of two NBS projects in Malmo, Sweden: BiodiverCity and EcoCity Augustenborg. To map instances of learning and investigate conditions for transformative learning in NBS implementation, this article draws on the concepts of experimenting, governing and learning and uses an analytical framework resting on three pillars: visionary ideas and strategies; stakeholder participation; and institutional arrangements. The article identifies seeds of transformative learning and argues that cross-boundary collaboration, action-oriented knowledge production, reflexive governance and citizen involvement are key enablers for transformative learning, which requires supporting structures, evaluation, continuity and relational capacities to thrive. To advance the implementation of NBS and increase urban sustainability, transformative learning should be acknowledged as a key strategic component of change. This, however, requires transformative learning to be more seriously considered in research and practice related to nature-based urban transformations.
C1 [Wickenberg, Bjorn; Kiss, Bernadett; McCormick, Kes; Palgan, Yuliya Voytenko] Lund Univ, Int Inst Ind Environm Econ IIIEE, Lund, Sweden.
C3 Lund University
RP Wickenberg, B (corresponding author), Lund Univ, Int Inst Ind Environm Econ IIIEE, Lund, Sweden.
EM bjorn.wickenberg@iiiee.lu.se
OI Kiss, Bernadett/0000-0002-7187-5256; Wickenberg,
   Bjorn/0000-0002-0838-9175
CR Albert C, 2019, LANDSCAPE URBAN PLAN, V182, P12, DOI 10.1016/j.landurbplan.2018.10.003
   Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   [Anonymous], 2017, AMBIO, DOI DOI 10.1007/s13280-016-0800-y
   [Anonymous], 1992, Oneself as Another
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   BENNETT CJ, 1992, POLICY SCI, V25, P275, DOI 10.1007/BF00138786
   Bos JJ, 2013, WATER SCI TECHNOL, V67, P1708, DOI 10.2166/wst.2013.031
   Boström M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124479
   Bowen GA, 2009, QUAL RES J, V9, P27, DOI 10.3316/QRJ0902027
   Brokking P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810389
   BRUNDTLAND GH, 1987, ENVIRON CONSERV, V14, P291, DOI 10.1017/S0376892900016805
   Bryman A., 2016, Social Research Methods, V5th
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Bulkeley H, 2019, EUR URBAN REG STUD, V26, P317, DOI 10.1177/0969776418787222
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bush J, 2020, ENVIRON INNOV SOC TR, V35, P35, DOI 10.1016/j.eist.2020.01.015
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Campbell T, 2009, HABITAT INT, V33, P195, DOI 10.1016/j.habitatint.2008.10.012
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   City of Malmo, 2014, OV MALM
   City of Malmo, 2021, AUG ECOCITY
   Coenen L, 2020, AUST PLAN, V56, P144, DOI 10.1080/07293682.2020.1740286
   Colak Z., 2020, Journal of Economics, Finance and Accounting, V7, P75, DOI [10.17261/Pressacademia.2020.1204, DOI 10.1186/S42854-020-00011-Z]
   Connop S, 2016, ENVIRON SCI POLICY, V62, P99, DOI 10.1016/j.envsci.2016.01.013
   Davies C, 2019, LAND USE POLICY, V80, P406, DOI 10.1016/j.landusepol.2018.09.020
   DENZIN NK, 1994, B COUN RES MUSIC ED, P15
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dignum M, 2020, ENVIRON INNOV SOC TR, V34, P7, DOI 10.1016/j.eist.2019.11.010
   Dorst H, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103283
   Duvall P, 2018, EUR PLAN STUD, V26, P480, DOI 10.1080/09654313.2017.1404556
   European Commission Directorate-General for Research and Innovation, 2015, EU RES INN POL AG NA, DOI [10.2777/479582, DOI 10.2777/479582]
   Ferreira V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020640
   Fitzgerald J, 2016, ENVIRON PLANN C, V34, P364, DOI 10.1177/0263774X15614666
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Frantzeskaki N, 2021, AMBIO, V50, P1650, DOI 10.1007/s13280-021-01521-1
   Frantzeskaki N, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104688
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fritz M, 2017, THEOR PRACT URB SUST, P65, DOI 10.1007/978-3-319-56091-5_5
   Geels FW, 2007, TECHNOL FORECAST SOC, V74, P1411, DOI 10.1016/j.techfore.2006.07.008
   Geels FW, 2007, TECHNOL SOC, V29, P441, DOI 10.1016/j.techsoc.2007.08.009
   Gerlak AK, 2020, J ENVIRON POL PLAN, V22, P653, DOI 10.1080/1523908X.2020.1776100
   Gulsrud NM, 2018, ENVIRON RES, V161, P158, DOI 10.1016/j.envres.2017.11.005
   Hanson HI, 2020, LAND USE POLICY, V90, DOI 10.1016/j.landusepol.2019.104302
   Heiskanen E, 2015, ENVIRON INNOV SOC TR, V14, P149, DOI 10.1016/j.eist.2014.08.001
   Hildén M, 2017, J CLEAN PROD, V169, P1, DOI 10.1016/j.jclepro.2017.09.019
   Holscher K., 2021, Urban Transformations, V3, P2, DOI [DOI 10.1186/S42854-021-00019-Z, 10.1186/s42854-021-00019-z]
   Irvine S, 2019, Urban Transformations, V1, DOI [DOI 10.1186/S42854-019-0001-7, 10.1186/s42854-019-0001-7]
   IUCN, 2012, The IUCN programme 2013-2016
   Johannessen Å, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176916
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   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
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   Khan J, 2013, J CLEAN PROD, V50, P133, DOI 10.1016/j.jclepro.2012.11.045
   Kiss B., 2021, ECOCITY AUGUSTENBORG
   Kolokotsa D, 2020, ENERG BUILDINGS, V229, DOI 10.1016/j.enbuild.2020.110527
   Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Mahmoud IH, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.690458
   Malmberg J, 2021, ECOCITY AUGUSTENBORG
   Mansson M., 2021, ECOCITY AUGUSTENBORG
   Mantzavinos C, 2012, PHILOS SOC SCI, V42, P224, DOI 10.1177/0048393110392590
   Martín EG, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139693
   Marvin S., 2018, Urban living labs: Experimenting with city futures
   Marvuglia A, 2020, ECOL MODEL, V438, DOI 10.1016/j.ecolmodel.2020.109351
   Menny M, 2018, GAIA, V27, P68, DOI 10.14512/gaia.27.S1.14
   MEZIROW J, 1978, ADULT ED, V28, P100, DOI 10.1177/074171367802800202
   Mezirow J, 1996, ADULT EDUC QUART, V46, P158, DOI 10.1177/074171369604600303
   Mezirow J., 1991, Transformative dimensions of adult learning, P94104
   Mezirow J., 2009, TRANSFORMATIVE LEARN, P18, DOI DOI 10.1080/10549810902856011
   Mitic-Radulovic A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147576
   Mori AS, 2020, ECOL LETT, V23, P1729, DOI 10.1111/ele.13594
   Morrell A., 2002, Expanding the boundaries of transformative learning: Essays on theory and praxis
   Neij L, 2021, J CLEAN PROD, V317, DOI 10.1016/j.jclepro.2021.128348
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Oliver TH, 2021, ENVIRON SCI POLICY, V126, P152, DOI 10.1016/j.envsci.2021.09.025
   Palmer H., 2020, URBAN TRANSFORM, V2, P6, DOI DOI 10.1186/S42854-020-00010-0
   Palomo I, 2021, ONE EARTH, V4, P730, DOI 10.1016/j.oneear.2021.04.013
   Parker J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187439
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Persson B, 2021, ECOCITY AUGUSTENBORG
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Russell B, 2019, ANTIPODE, V51, P989, DOI 10.1111/anti.12520
   Sarabi S, 2020, J ENVIRON MANAGE, V270, DOI 10.1016/j.jenvman.2020.110749
   Sekulova F, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103136
   SEPA Swedish Environmental Protection Agency, 2010, US
   Short C, 2019, LAND DEGRAD DEV, V30, P241, DOI 10.1002/ldr.3205
   Sörensen J, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001037
   Stadsbyggnad.org, 2017, MAG FOR SVER STADSB
   Stahre P., 2008, BLUE GREEN FINGERPRI
   Stahre P., 2003, New approach to sustainable stormwater planning
   Stake R.E., 2010, Qualitative research: Studying how things work
   Sterling S., 2011, Learning and Teaching in Higher Education, V5, P17
   Suedel BC, 2022, INTEGR ENVIRON ASSES, V18, P39, DOI 10.1002/ieam.4540
   Torrens Jonas, 2021, Urban Transform, V3, P8, DOI 10.1186/s42854-021-00025-1
   UN, 2015, TRANSF OUR WORLD 203
   Urban Transformation (UT), 2021, TRANSF TURN PLANN
   van der Jagt APN, 2021, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.583833
   van der Jagt APN, 2020, ENVIRON INNOV SOC TR, V35, P202, DOI 10.1016/j.eist.2019.09.005
   van der Jagt APN, 2019, J ENVIRON MANAGE, V233, P757, DOI 10.1016/j.jenvman.2018.09.083
   van Kerkhoff L, 2017, ENVIRON SCI POLICY, V73, P29, DOI 10.1016/j.envsci.2017.03.011
   van Kerkhoff L, 2013, CHALL SUSTAIN, V1, P82, DOI 10.12924/cis2013.01020082
   van Mierlo B, 2020, ENVIRON INNOV SOC TR, V34, P255, DOI 10.1016/j.eist.2018.08.002
   Voytenko Y, 2016, J CLEAN PROD, V123, P45, DOI 10.1016/j.jclepro.2015.08.053
   Wamsler C, 2020, ENVIRON SCI POLICY, V112, P227, DOI 10.1016/j.envsci.2020.06.005
   WELCH JK, 1992, MOD LANG J, V76, P543, DOI 10.2307/330063
   West S, 2020, ECOSYST PEOPLE, V16, P304, DOI 10.1080/26395916.2020.1814417
   Wickenberg B, 2021, ENVIRON SCI POLICY, V125, P44, DOI 10.1016/j.envsci.2021.08.016
   Wihlborg M, 2019, J ENVIRON MANAGE, V233, P706, DOI 10.1016/j.jenvman.2018.12.018
   Wingfield T. A, 2021, HYDROL EARTH SYST SC, V2021, P1, DOI [10.5194/hess-2021-404, DOI 10.5194/HESS-2021-404]
   Wolfram M, 2019, AMBIO, V48, P437, DOI 10.1007/s13280-019-01169-y
   Wolfram M, 2016, CITIES, V51, P121, DOI 10.1016/j.cities.2015.11.011
   Xie LJ, 2020, ENVIRON SCI POLICY, V110, P77, DOI 10.1016/j.envsci.2020.04.002
NR 114
TC 11
Z9 11
U1 4
U2 16
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9634
J9 FRONT SUSTAIN CITIES
JI Front. Sustain. Cities
PD APR 22
PY 2022
VL 4
AR 835511
DI 10.3389/frsc.2022.835511
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Urban Studies
GA 7T7DD
UT WOS:000911602200001
OA gold
DA 2025-01-10
ER

PT J
AU Chang, P
   Mei, H
   Zhao, Y
   Zhang, MG
   Wang, X
   Cheng, LF
   Zhang, LT
AF Chang, Peng
   Mei, Hui
   Zhao, Yu
   Zhang, Minggang
   Wang, Xiao
   Cheng, Laifei
   Zhang, Litong
TI Engineering (Ni, Co, Mn) Se nanoarrays with 3D-Printed wave-structure
   carbon-rich lattice towards ultrahigh-capacity, complex-stress and
   all-climate energy storage
SO CARBON
LA English
DT Article
DE 3D printing; Wave-structure carbon-rich lattice; Superb mechanical
   strength; High-density energy storage; All-climate adaptability
ID 3D; SUPERCAPACITOR
AB Energy storage capacity and environmental adaptability as the two important elements of energy storage devices towards an intelligent Internet of things era, the two often do not co-existence. The continuous exploration of advanced multifunctional electrodes is of great significance to achieve balance between superior capacity and complex service environment adaptability. Notably, it still remains a great challenge to realize high capacity under extreme complex stress and climate environments. Herein, coralline-like (Ni, Co, Mn) Se nanoarrays were synthesized on highly-conductive 3D-printed wave-structure carbon-rich periodic lattices as multitasking free-standing, binder and current collector-free electrodes towards editable ultrahigh-capacity, complex-stress and all-climate energy storage. As expected, the as-prepared wave-structure electrodes exhibit a combination of editable ultrahigh capacitive performance (5.6-7.8 F cm(-2) at 1 mA cm(-2)), superb mechanical resistance (up to 260 MPa) and wide climate compliance (temperature: from -20 to 85 degrees C; humidity: from 20 to 85% RH). More impressively, such a multipurpose device also demonstrates a record-high areal energy density of 260 mu Wh cm(-2), and an ultralong lifespan even under extreme conditions of 85 degrees C & 85% RH & 3 MPa. This strategy opens up novel avenues to explore various bespoke multifunctional integrated devices and multiscale structural materials for future smart life. (C) 2021 Elsevier Ltd. All rights reserved.
C1 [Chang, Peng; Mei, Hui; Zhao, Yu; Zhang, Minggang; Wang, Xiao; Cheng, Laifei; Zhang, Litong] Northwestern Polytech Univ, Sch Mat Sci & Engn, Sci & Technol Thermostruct Composite Mat Lab, Xian 710072, Peoples R China.
C3 Northwestern Polytechnical University
RP Mei, H (corresponding author), Northwestern Polytech Univ, Sch Mat Sci & Engn, Sci & Technol Thermostruct Composite Mat Lab, Xian 710072, Peoples R China.
EM meihui@nwpu.edu.cn
RI Litong, Zhang/JUF-3107-2023; zhang, minggang/GXV-1831-2022; Zhao,
   Yu/GXN-0549-2022; Chang, Peng/ACP-0085-2022
OI Zhao, Yu/0000-0003-4606-423X; Zhang, Minggang/0009-0004-0061-1570;
   Chang, Peng/0000-0002-0124-5638
FU National Natural Science Foundation of China [52072306, 51772246];
   National Defense Basic Scientific Research Program of China
   [JCKYS2019607001]; Fundamental Research Funds for the Central
   Universities [3102019PJ008, 3102018jcc002]; Doctorate Foundation of
   Northwestern Polytechnical University [CX202004]
FX This work was supported by the National Natural Science Foundation of
   China (52072306, 51772246), National Defense Basic Scientific Research
   Program of China (JCKYS2019607001), Fundamental Research Funds for the
   Central Universities (3102019PJ008 and 3102018jcc002), Doctorate
   Foundation of Northwestern Polytechnical University (CX202004). We would
   like to thank the Analytical & Testing Center of Northwestern
   Polytechnical University for SEM.
CR Chang L, 2017, J MATER CHEM A, V5, P20892, DOI 10.1039/c7ta05027e
   Chang P, 2021, SMALL, V17, DOI 10.1002/smll.202102639
   Chang P, 2020, J MATER CHEM A, V8, P13646, DOI 10.1039/d0ta04460a
   Chang P, 2019, ADV FUNCT MATER, V29, DOI 10.1002/adfm.201903588
   Chang P, 2019, J MATER CHEM A, V7, P4230, DOI 10.1039/c8ta11860d
   Chen D, 2020, ADV MATER, V32, DOI 10.1002/adma.201901806
   Chen YS, 2021, NANOSCALE, V13, P4995, DOI 10.1039/d0nr08251a
   Deepalakshmi T, 2019, J MATER CHEM A, V7, P24462, DOI 10.1039/c9ta08677c
   Deshagani S, 2020, ELECTROCHIM ACTA, V345, DOI 10.1016/j.electacta.2020.136200
   Fan ZD, 2021, ACS NANO, V15, P3098, DOI 10.1021/acsnano.0c09646
   Gao TT, 2019, ADV ENERGY MATER, V9, DOI 10.1002/aenm.201802578
   Huang P, 2016, SCIENCE, V351, P691, DOI 10.1126/science.aad3345
   Kang WB, 2021, ENERGY STORAGE MATER, V35, P345, DOI 10.1016/j.ensm.2020.11.032
   Liang J, 2020, ADV ENERGY MATER, V10, DOI 10.1002/aenm.202000022
   Liu B, 2013, NANO RES, V6, P525, DOI 10.1007/s12274-013-0329-3
   Liu DH, 2018, J MATER CHEM A, V6, P15797, DOI 10.1039/c8ta03967d
   Liu Q, 2020, ENERGY STORAGE MATER, V24, P495, DOI 10.1016/j.ensm.2019.07.008
   Muniraj VKA, 2019, ACS APPL MATER INTER, V11, P18349, DOI 10.1021/acsami.9b01712
   Sanchez JS, 2019, J MATER CHEM A, V7, P20414, DOI 10.1039/c9ta04322e
   Shen K, 2018, ADV ENERGY MATER, V8, DOI 10.1002/aenm.201800408
   Song J, 2018, ACS APPL MATER INTER, V10, P39839, DOI 10.1021/acsami.8b15731
   Tang HC, 2018, ADV MATER TECHNOL-US, V3, DOI 10.1002/admt.201800074
   Tian XC, 2017, ADV ENERGY MATER, V7, DOI 10.1002/aenm.201700127
   Wang Q, 2016, ENERG ENVIRON SCI, V9, P729, DOI 10.1039/c5ee03109e
   Wang Y, 2019, ENERGY STORAGE MATER, V20, P315, DOI 10.1016/j.ensm.2018.11.018
   Wang YG, 2016, CHEM SOC REV, V45, P5925, DOI 10.1039/c5cs00580a
   Wang YR, 2020, ACS APPL MATER INTER, V12, P43864, DOI 10.1021/acsami.0c14441
   Xu XJ, 2016, J MATER CHEM A, V4, P10933, DOI 10.1039/c6ta03788g
   Xue JZ, 2019, NANO-MICRO LETT, V11, DOI 10.1007/s40820-019-0280-2
   Yang C, 2021, ENERGY STORAGE MATER, V35, DOI 10.1016/j.ensm.2020.11.005
   Yang JL, 2020, ENERGY STORAGE MATER, V26, P391, DOI 10.1016/j.ensm.2019.11.010
   Yang PY, 2018, ADV ENERGY MATER, V8, DOI 10.1002/aenm.201801392
   Yang WJ, 2019, ADV MATER, V31, DOI 10.1002/adma.201902725
   Yao B, 2020, ADV MATER, V32, DOI 10.1002/adma.201906652
   Yuan SJ, 2021, J MATER CHEM A, V9, P423, DOI 10.1039/d0ta08750e
   Zeng J, 2021, NANO-MICRO LETT, V13, DOI 10.1007/s40820-020-00546-7
   Zhang F, 2017, NANO ENERGY, V40, P418, DOI 10.1016/j.nanoen.2017.08.037
   Zhang MG, 2020, J MATER CHEM A, V8, P10670, DOI 10.1039/d0ta02099k
   Zhang TY, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201803600
   Zhang XC, 2019, J ALLOY COMPD, V772, P25, DOI 10.1016/j.jallcom.2018.09.023
   Zhao Y, 2021, ACS NANO, V15, P240, DOI 10.1021/acsnano.0c08713
   Zhu YR, 2018, ELECTROCHIM ACTA, V269, P30, DOI 10.1016/j.electacta.2018.02.146
   Zong Q, 2020, CHEM ENG J, V392, DOI 10.1016/j.cej.2019.123664
NR 43
TC 25
Z9 25
U1 8
U2 75
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0008-6223
EI 1873-3891
J9 CARBON
JI Carbon
PD FEB
PY 2022
VL 187
BP 375
EP 385
DI 10.1016/j.carbon.2021.11.029
EA NOV 2021
PG 11
WC Chemistry, Physical; Materials Science, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Materials Science
GA YJ0CH
UT WOS:000744206700013
DA 2025-01-10
ER

PT J
AU Dalezios, NR
   Dercas, N
   Spyropoulos, NV
   Psomiadis, E
AF Dalezios, Nicolas R.
   Dercas, Nicholas
   Spyropoulos, Nicos V.
   Psomiadis, Emmanouil
TI Remotely Sensed Methodologies for Crop Water Availability and
   Requirements in Precision Farming of Vulnerable Agriculture
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Water availability; Evapotranspiration; Vulnerable agriculture; Remote
   sensing; Drought; Precision farming
ID DROUGHT; INDEX
AB Agriculture is mainly impacted by water availability. Differences in climate conditions and the appearance of severe events, like droughts, has a significant imprint on local, regional and global agricultural productivity. The goal of this paper is to present remotely sensed approaches for water availability and requirements in vulnerable agriculture. Earth Observation (EO) data contribute to precision agriculture for efficient crop monitoring and irrigation management. A drought susceptible region considered as vulnerable farming was chosen, in the Thessaly prefecture in Central Greece. Water availability is measured by means of precipitation frequency examination and drought estimation. Crop water requirements are measured by assessing crop evapotranspiration (ET) with the synergistic use of WV-2 satellite images and ground-truth data. The remote-based ETcsat is assessed by utilizing the reference ETo derived from Food and Agriculture Organization (FAO) methodology, while the meteorological data and Kc are evolved from Normalized Difference Vegetation Index (NDVI). According to the rainfall frequency studies, indicators demonstrate a significant precipitation decrease. The results reveal the importance of water availability estimation for facing agriculture water needs and the necessity for monitoring of drought conditions in a vulnerable Mediterranean area in order to plan an integrated strategy for climate adaptation. Moreover, the conclusions clarify the usefulness of collaborating innovative very high spatial and sperctral resolution EO images along with ground-truth data for crop ET monitoring and also the assimilation into the precision agriculture methodology which is valuable for optimal agricultural production.
C1 [Dalezios, Nicolas R.] Univ Thessaly, Dept Civil Engn, Volos, Greece.
   [Dalezios, Nicolas R.; Dercas, Nicholas; Psomiadis, Emmanouil] Agr Univ Athens, Dept Nat Resources Management & Agr Engn, Athens, Greece.
   [Spyropoulos, Nicos V.] SIGMA Geotechnol, Munich, Germany.
C3 University of Thessaly; Agricultural University of Athens
RP Psomiadis, E (corresponding author), Agr Univ Athens, Dept Nat Resources Management & Agr Engn, Athens, Greece.
EM mpsomiadis@gmail.com
RI PSOMIADIS, EMMANOUIL/T-1667-2018
OI PSOMIADIS, EMMANOUIL/0000-0002-1094-9397
FU INTERREG Illb PRODIM project; EU FP6 PLEIADES project; HORIZON2020
   FATIMA project
FX A previous shorter version of the paper has been presented in the 10th
   World Congress of EWRA "Panta Rei" Athens, Greece, July 2017. The
   meteorological data were acquired by the Hellenic National
   Meteorological Service. Earth Observation data were provided by NASA.
   Research was funded by the INTERREG Illb PRODIM project, EU FP6 PLEIADES
   project and by HORIZON2020 FATIMA project. The authors would like to
   thank the editor and the reviewers for their constructive comments and
   valuable suggestions.
CR Abuzar M, 2014, AM J REMOTE SENS, V2, DOI DOI 10.11648/J.AJRS.20140201.11
   Alexandrov VA, 2000, AGR FOREST METEOROL, V104, P315, DOI 10.1016/S0168-1923(00)00166-0
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Alves Varella C.A., 2015, Sugarcane: Agricultural production, bioenergy, and ethanol, P185, DOI 10.1016/B978-0-12-802239-9.00009-8
   [Anonymous], 1950, SCSTP96 USDA
   [Anonymous], 2017, CLIMATE CHANGE WATCH
   [Anonymous], 2010, RADIOMETRIC USE WORL
   [Anonymous], USE REMOTE SENSING D
   [Anonymous], 1974, Monitoring the Vernal Advancement of Retrogradation (Green Wave Effect) of Natural Vegetation
   [Anonymous], SCI J GEOTEE
   Attia A, 2016, CROP SCI, V56, P2688, DOI 10.2135/cropsci2015.05.0296
   Bampzelis D, 2006, P 3 HAICTA INT C INF, P887
   Bampzelis D, 2014, C P 10 INT C HELL GE, P1
   Calera A, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17051104
   Dalezios NR, 2014, NAT HAZARD EARTH SYS, V14, P2435, DOI 10.5194/nhess-14-2435-2014
   Dalezios NR, 2012, NAT HAZARD EARTH SYS, V12, P3139, DOI 10.5194/nhess-12-3139-2012
   Dalezios N.R., 2011, J INF TECHNOL AGR, V4, P1
   Dalezios NR, 2000, HYDROLOG SCI J, V45, P751, DOI 10.1080/02626660009492375
   Dalezios NR, 2009, P EWRA C WAT RES CON
   Dalezios NR, 2012, 11 INT C MET CLIM AT, P51
   Dalezios NR, 2018, IJGEI, V17, P267
   Dalezios NR, 2017, P EWRA2017, P1715
   Dercas N, 2018, WIT TRANS ECOL ENVIR, V220, P101, DOI 10.2495/WRM170101
   Hansen JW, 2002, AGR SYST, V74, P309, DOI 10.1016/S0308-521X(02)00043-4
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Kanellou E, 2008, PROACTIVE MANAGEMENT, V6/08, P23
   Kogan FN, 2001, B AM METEOROL SOC, V82, P1949, DOI 10.1175/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2
   KOGAN FN, 1995, ADV SPACE RES-SERIES, V15, P91, DOI 10.1016/0273-1177(95)00079-T
   Lanzl F, 1991, ICO TOP M ATM VOL SU
   Mulla DJ, 2013, BIOSYST ENG, V114, P358, DOI 10.1016/j.biosystemseng.2012.08.009
   Niemeyer S., 2008, Options Mediterraneennes. Serie A: Seminaires Mediterraneens, V80, P267
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Psomiadis E, 2016, P SOC PHOTO-OPT INS, V9998
   Psomiadis E, 2017, P SOC PHOTO-OPT INS, V10421
   Rafn EB, 2008, J IRRIG DRAIN ENG, V134, P722, DOI 10.1061/(ASCE)0733-9437(2008)134:6(722)
   Salehi B, 2012, ASPRS ANN C SACR CA, P7
   Sultan B., 2016, FRONT PLANT SCI, P7, DOI [10.3389/fps.2016.01262, DOI 10.3389/FPS.2016.01262]
   Tsakiris G, 2007, WATER RESOUR MANAG, V21, P821, DOI 10.1007/s11269-006-9105-4
   Tsakiris G., 2005, European Water, V9/10, P3
NR 39
TC 13
Z9 14
U1 0
U2 32
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 MAR
PY 2019
VL 33
IS 4
BP 1499
EP 1519
DI 10.1007/s11269-018-2161-8
PG 21
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA HO3PT
UT WOS:000460836100017
DA 2025-01-10
ER

PT C
AU Vahedifard, F
   Williams, JM
   AghaKouchak, A
AF Vahedifard, Farshid
   Williams, James M.
   AghaKouchak, Amir
BE Stuedlein, AW
   Lemnitzer, A
   Suleiman, MT
TI Geotechnical Engineering in the Face of Climate Change: Role of
   Multi-Physics Processes in Partially Saturated Soils
SO IFCEE 2018: ADVANCES IN GEOMATERIAL MODELING AND SITE CHARACTERIZATION
SE Geotechnical Special Publication
LA English
DT Proceedings Paper
CT International Foundations Congress and Equipment Expo (IFCEE)
CY MAR 05-10, 2018
CL Orlando, FL
SP Amer Soc Civil Engineers, Amer Soc Civil Engineers, Geo Inst, Int Assoc Fdn Drilling, Deep Fdn Inst, Pile Driving Contractors Assoc
ID SEA-LEVEL RISE; CALIFORNIA LEVEES; UNSATURATED SILT; UNITED-STATES;
   DROUGHT; PRECIPITATION; TEMPERATURE; EXTREMES; FLOOD; BEHAVIOR
AB Climate change is expected to alter the statistics of extreme events including rainfall storms, floods, droughts, and heatwaves. Climate-adaptive geotechnical structures warrant a quantitative assessment of the impacts of emerging and projected extreme patterns on the short and long-term behaviors of earthen structures. Furthermore, long-term changes to soil carbon and moisture due to non-extreme climate events should also be considered. While several large-scale studies have been conducted to evaluate various aspects of climate change, there is a clear gap in the state of knowledge in terms of assessing the resilience of geotechnical structures to changes in climatic trends (e.g., warmer climate, protracted droughts, intensified extreme precipitations, and sea level rise). The majority of the aforementioned climatic trends pose multi-physics problems involving thermo-hydro-mechanical (THM) processes in partially saturated soils and earthen structures. This review paper discusses how soil-atmospheric interactions and extreme event patterns in a changing climate can alter soil properties and loading conditions, affecting the performance of partially saturated geotechnical structures. We speculate how changes in climatic trends may weaken partially saturated earthen structures through strength reduction, drying, soil desiccation cracking, shrinkage, microbial oxidation of soil organic matter, fluctuation in the ground water table, land and surface erosion, and highly dynamic pore pressure changes. Each of these weakening processes is primarily induced by variations in the soil moisture and temperature. Finally, we discuss potential modes of failure imposed on partially saturated earthen structures by climatic trends.
C1 [Vahedifard, Farshid; Williams, James M.] Mississippi State Univ, Dept Civil & Environm Engn, Starkville, MS 39762 USA.
   [AghaKouchak, Amir] Univ Calif Irvine, Dept Earth Syst Sci, Dept Civil & Environm Engn, Irvine, CA 92617 USA.
C3 Mississippi State University; University of California System;
   University of California Irvine
RP Vahedifard, F (corresponding author), Mississippi State Univ, Dept Civil & Environm Engn, Starkville, MS 39762 USA.
EM farshid@cee.msstate.edu; jmw835@msstate.edu; amir.a@uci.edu
RI AghaKouchak, Amir/ABH-2495-2022
OI AghaKouchak, Amir/0000-0003-4689-8357; Vahedifard,
   Farshid/0000-0001-8883-4533
FU National Science Foundation [CMMI-1634748, CMMI-1635797]
FX This material is based upon work supported in part by the National
   Science Foundation under Grants Nos. CMMI-1634748 and CMMI-1635797.
CR AghaKouchak A, 2014, GEOPHYS RES LETT, V41, P8847, DOI 10.1002/2014GL062308
   Aghakouchak A, 2014, SCIENCE, V343, P1430, DOI 10.1126/science.343.6178.1430
   Alsherif NA, 2015, GEOTECHNIQUE, V65, P703, DOI 10.1680/geot.14.P.049
   [Anonymous], TRANSPORTATION RES B
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   [Anonymous], ABR IMP CLIM CHANG A
   [Anonymous], B AM METEOROLOGICAL
   [Anonymous], EIC CLIMATE CHANGE T
   Bonnin G.M., 2006, PRECIPITATION FREQUE, V1
   Cheng LY, 2015, CLIM DYNAM, V44, P2947, DOI 10.1007/s00382-015-2625-y
   Cheng LY, 2014, SCI REP-UK, V4, DOI 10.1038/srep07093
   Coe J.A., 2012, Proceedings of the 11th International and 2nd North American Symposium on Landslides and Engineered Slopes, Banff, Canada, 3-8 June 2012, V1, P371
   Conant RT, 2011, GLOBAL CHANGE BIOL, V17, P3392, DOI 10.1111/j.1365-2486.2011.02496.x
   Damberg L, 2014, THEOR APPL CLIMATOL, V117, P441, DOI 10.1007/s00704-013-1019-5
   EPA, 2016, CLIM CHANG IND US GL
   Faunt CC, 2016, HYDROGEOL J, V24, P675, DOI 10.1007/s10040-015-1339-x
   Galloway D. L., 1999, LAND SUBSIDENCE US, V1182
   Gariano SL, 2016, EARTH-SCI REV, V162, P227, DOI 10.1016/j.earscirev.2016.08.011
   Hao ZC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034014
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Jasim FH, 2017, GEOTECH SP, P498
   Karl TR., 2009, Global climate change impacts in the united states, P189
   Lee EM., 2004, LANDSLIDE RISK ASSES
   Lopez Lopez P, 2016, AGU FALL M, pH41K
   Lu N, 2006, J GEOTECH GEOENVIRON, V132, P131, DOI 10.1061/(ASCE)1090-0241(2006)132:2(131)
   Mazdiyasni O, 2015, P NATL ACAD SCI USA, V112, P11484, DOI 10.1073/pnas.1422945112
   Melchiorre C, 2012, CLIMATIC CHANGE, V113, P413, DOI 10.1007/s10584-011-0325-0
   Melillo JM., 2014, CLIMATE CHANGE IMPAC, V841
   Moftakhari HR, 2017, P NATL ACAD SCI USA, V114, P9785, DOI 10.1073/pnas.1620325114
   Moftakhari HR, 2017, EARTHS FUTURE, V5, P214, DOI 10.1002/2016EF000494
   Moftakhari HR, 2015, GEOPHYS RES LETT, V42, P9846, DOI 10.1002/2015GL066072
   Orense R. P., 2004, PHILIPPINE ENG J, V25
   Peron H, 2009, CAN GEOTECH J, V46, P1177, DOI 10.1139/T09-054
   Nguyen P, 2015, J HYDROMETEOROL, V16, P1171, DOI 10.1175/JHM-D-14-0212.1
   Robinson JD, 2017, CAN GEOTECH J, V54, P117, DOI 10.1139/cgj-2015-0602
   Robinson JD, 2016, CLIMATIC CHANGE, V137, P1, DOI 10.1007/s10584-016-1649-6
   Schuster R.L., 2001, SOCIOECONOMIC ENV IM
   Seneviratne SI, 2006, NATURE, V443, P205, DOI 10.1038/nature05095
   Shukla S, 2015, GEOPHYS RES LETT, V42, P4384, DOI 10.1002/2015GL063666
   Sorooshian S, 2011, B AM METEOROL SOC, V92, P1353, DOI 10.1175/2011BAMS3158.1
   Tang CS, 2011, J MATER CIVIL ENG, V23, P873, DOI 10.1061/(ASCE)MT.1943-5533.0000242
   Uchaipichat A, 2009, GEOTECHNIQUE, V59, P339, DOI 10.1680/geot.2009.59.4.339
   Vahedifard F, 2017, J GEOTECH GEOENVIRON, V143, DOI 10.1061/(ASCE)GT.1943-5606.0001743
   Vahedifard F, 2017, SCIENCE, V355, P1139, DOI 10.1126/science.aan0171
   Vahedifard F, 2016, SCIENCE, V353, P1374, DOI 10.1126/science.aai8579
   Vahedifard F, 2016, J GEOTECH GEOENVIRON, V142, DOI 10.1061/(ASCE)GT.1943-5606.0001465
   Vahedifard F, 2015, SCIENCE, V349, P799, DOI 10.1126/science.349.6250.799-a
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
NR 48
TC 30
Z9 35
U1 3
U2 6
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 978-0-7844-8158-5
J9 GEOTECH SP
PY 2018
IS 295
BP 353
EP 364
PG 12
WC Engineering, Civil; Engineering, Geological
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering
GA BK4NM
UT WOS:000437000700035
DA 2025-01-10
ER

PT J
AU Pegoraro, M
   Zonato, V
   Tyler, ER
   Fedele, G
   Kyriacou, CP
   Tauber, E
AF Pegoraro, Mirko
   Zonato, Valeria
   Tyler, Elizabeth R.
   Fedele, Giorgio
   Kyriacou, Charalambos P.
   Tauber, Eran
TI Geographical analysis of diapause inducibility in European <i>Drosophila
   melanogaster</i> populations
SO JOURNAL OF INSECT PHYSIOLOGY
LA English
DT Article
DE Seasonal; Diapause; Cline; Mutation; timeless; Drosophila
ID LIFE-HISTORY; REPRODUCTIVE DIAPAUSE; CLIMATIC ADAPTATION;
   NATURAL-SELECTION; OVARIAN DORMANCY; TIME MEASUREMENT; CLINES; GENE;
   AFRICAN; POLYMORPHISM
AB Seasonal overwintering in insects represents an adaptation to stressful environments and in European Drosophila melanogaster females, low temperatures and short photoperiods can induce an ovarian diapause. Diapause may represent a recent (<15 Ky) adaptation to the colonisation of temperate Europe by D. melanogaster from tropical sub-Saharan Africa, because African D. melanogaster and the sibling species D. simulans, have been reported to fail to undergo diapause. Over the past few centuries, D. melanogaster have also invaded North America and Australia, and eastern populations on both continents show a predictable latitudinal dine in diapause induction. In Europe however, a new diapause-enhancing timeless allele, ls-tim, is observed at high levels in southern Italy (similar to 80%), where it appears to have arisen and has spread throughout the continent with a frequency of similar to 20% in Scandinavia. Given the phenotype of Is-tim and its geographical distribution, we might predict that it would work against any latitudinal dine in diapause induction within Europe. Indeed we reveal that any latitudinal dine for diapause in Europe is very weak, as predicted by Is-tim frequencies. In contrast, we determine Is-tim frequencies in North America and observe that they would be expected to strengthen the latitudinal pattern of diapause. Our results reveal how a newly arisen mutation, can, via the stochastic nature of where it initially arose, blur an otherwise adaptive geographical pattern. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Pegoraro, Mirko; Zonato, Valeria; Tyler, Elizabeth R.; Fedele, Giorgio; Kyriacou, Charalambos P.; Tauber, Eran] Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England.
   [Tauber, Eran] Univ Haifa, Dept Evolutionary & Environm Biol, IL-3498838 Haifa, Israel.
C3 University of Leicester; University of Haifa
RP Kyriacou, CP (corresponding author), Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England.
EM cpk@leicester.ac.uk
RI Pegoraro, Mirko/AHC-9237-2022; Fedele, Giorgio/ABE-3247-2020; Tauber,
   Eran/F-9826-2011
OI Fedele, Giorgio/0000-0002-9878-0070; Pegoraro,
   Mirko/0000-0001-9381-5249; Tauber, Eran/0000-0003-4018-6535
FU BBSRC; NERC; European Commission (6th Framework, EUCLOCK grant)
   [018741]; Erasmus studentship; BBSRC [BB/K001922/1, BB/F014082/1,
   BB/G02085X/1] Funding Source: UKRI
FX CPK and ET gratefully acknowledge grant support from the BBSRC and NERC,
   CPK thanks the European Commission (6th Framework, EUCLOCK grant no
   018741), which supported VZ. VZ (partly) and ERT were supported by BBSRC
   studentships and GF was supported by an Erasmus studentship. We thank
   Trudy Mackay and Paul Schmidt for generously contributing the American
   populations and Nishal Patel for technical support. Stefano Vanin helped
   VZ collect the Spanish population.
CR Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bozicevic V, 2016, MOL ECOL, V25, P1175, DOI 10.1111/mec.13464
   Caracristi G, 2003, MOL BIOL EVOL, V20, P792, DOI 10.1093/molbev/msg091
   Cogni R, 2014, EVOLUTION, V68, P538, DOI 10.1111/evo.12291
   COSTA R, 1992, P ROY SOC B-BIOL SCI, V250, P43, DOI 10.1098/rspb.1992.0128
   DAVID JR, 1986, GENET SEL EVOL, V18, P405, DOI 10.1186/1297-9686-18-4-405
   Denlinger D.L., 1991, P174
   DENLINGER DL, 1986, ANNU REV ENTOMOL, V31, P239, DOI 10.1146/annurev.en.31.010186.001323
   Duchen P, 2013, GENETICS, V193, P291, DOI 10.1534/genetics.112.145912
   Emerson KJ, 2009, J COMP PHYSIOL A, V195, P825, DOI 10.1007/s00359-009-0460-5
   Emerson KJ, 2009, TRENDS GENET, V25, P217, DOI 10.1016/j.tig.2009.03.009
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   FERVEUR JF, 1995, SCIENCE, V267, P902, DOI 10.1126/science.7846534
   FINNEY DJ, 1949, ANN APPL BIOL, V36, P187, DOI 10.1111/j.1744-7348.1949.tb06408.x
   Izquierdo J. I., 1991, ENTOMOLOGIA EXPT APP, V59, P51
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Keller A, 2007, CURR BIOL, V17, pR77, DOI 10.1016/j.cub.2006.12.031
   King R. C., 1970, Int. Rev. Cytol., V28, P125, DOI 10.1016/S0074-7696(08)62542-5
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   Kostál V, 2011, J INSECT PHYSIOL, V57, P538, DOI 10.1016/j.jinsphys.2010.10.006
   Kubrak OI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113051
   LACHAISE D, 1988, EVOL BIOL, V22, P159
   Lee SF, 2011, MOL ECOL, V20, P2973, DOI 10.1111/j.1365-294X.2011.05155.x
   Loh PR, 2013, GENETICS, V193, P1233, DOI 10.1534/genetics.112.147330
   LUMME J, 1974, J INSECT PHYSIOL, V20, P2023, DOI 10.1016/0022-1910(74)90109-7
   Machado HE, 2016, MOL ECOL, V25, P723, DOI 10.1111/mec.13446
   OAKESHOTT JG, 1982, EVOLUTION, V36, P86, DOI 10.1111/j.1558-5646.1982.tb05013.x
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   PITTENDRIGH CS, 1991, J BIOL RHYTHM, V6, P299, DOI 10.1177/074873049100600402
   Pullin AS, 1996, EUR J ENTOMOL, V93, P121
   Sandrelli F, 2007, SCIENCE, V316, P1898, DOI 10.1126/science.1138426
   SAUNDERS DS, 1989, P NATL ACAD SCI USA, V86, P3748, DOI 10.1073/pnas.86.10.3748
   SAUNDERS DS, 1990, GEN COMP ENDOCR, V79, P174, DOI 10.1016/0016-6480(90)90102-R
   Sawyer LA, 2006, GENETICS, V174, P465, DOI 10.1534/genetics.106.058792
   Schiesari L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163680
   Schiesari L, 2011, FEBS LETT, V585, P1450, DOI 10.1016/j.febslet.2011.02.026
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2006, EVOLUTION, V60, P1602, DOI 10.1111/j.0014-3820.2006.tb00505.x
   Schmidt PS, 2005, EVOLUTION, V59, P2616, DOI 10.1111/j.0014-3820.2005.tb00974.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Tatar M, 2001, EXP GERONTOL, V36, P723, DOI 10.1016/S0531-5565(00)00238-2
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Tauber M.J., 1986, SEASONAL ADAPTATIONS
   Williams KD, 2006, P NATL ACAD SCI USA, V103, P15911, DOI 10.1073/pnas.0604592103
   Williams Karen D., 2010, P287
   WILLIAMS KD, 1993, HEREDITY, V71, P312, DOI 10.1038/hdy.1993.141
   Zhao X., 2015, MOL BIOL EVOL
   Zonato V, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162370
NR 48
TC 26
Z9 29
U1 0
U2 18
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0022-1910
EI 1879-1611
J9 J INSECT PHYSIOL
JI J. Insect Physiol.
PD APR
PY 2017
VL 98
BP 238
EP 244
DI 10.1016/j.jinsphys.2017.01.015
PG 7
WC Entomology; Physiology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology; Physiology; Zoology
GA EU0QC
UT WOS:000400715400031
PM 28131702
OA Green Accepted, hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Kosová, V
   Latzel, V
   Hadincova, V
   Münzbergová, Z
AF Kosova, Veronika
   Latzel, Vit
   Hadincova, Veroslava
   Munzbergova, Zuzana
TI Effect of DNA methylation, modified by 5-azaC, on ecophysiological
   responses of a clonal plant to changing climate
SO SCIENTIFIC REPORTS
LA English
DT Article
ID EPIGENETIC VARIATION; CHLOROPHYLL FLUORESCENCE; NATURAL-SELECTION;
   PHENOTYPIC PLASTICITY; DROUGHT TOLERANCE; TEMPERATURE; 5-AZACYTIDINE;
   POPULATIONS; PHOTOSYNTHESIS; TRAITS
AB Epigenetic regulation of gene expression is expected to be an important mechanism behind phenotypic plasticity. Whether epigenetic regulation affects species ecophysiological adaptations to changing climate remains largely unexplored. We compared ecophysiological traits between individuals treated with 5-azaC, assumed to lead to DNA demethylation, with control individuals of a clonal grass originating from and grown under different climates, simulating different directions and magnitudes of climate change. We linked the ecophysiological data to proxies of fitness. Main effects of plant origin and cultivating conditions predicted variation in plant traits, but 5-azaC did not. Effects of 5-azaC interacted with conditions of cultivation and plant origin. The direction of the 5-azaC effects suggests that DNA methylation does not reflect species long-term adaptations to climate of origin and species likely epigenetically adjusted to the conditions experienced during experiment set-up. Ecophysiology translated to proxies of fitness, but the intensity and direction of the relationships were context dependent and affected by 5-azaC. The study suggests that effects of DNA methylation depend on conditions of plant origin and current climate. Direction of 5-azaC effects suggests limited role of epigenetic modifications in long-term adaptation of plants. It rather facilitates fast adaptations to temporal fluctuations of the environment.
C1 [Kosova, Veronika; Munzbergova, Zuzana] Charles Univ Prague, Fac Sci, Dept Bot, Prague, Czech Republic.
   [Latzel, Vit; Hadincova, Veroslava; Munzbergova, Zuzana] Acad Sci Czech Republ, Inst Bot, Pruhonice, Czech Republic.
C3 Charles University Prague; Czech Academy of Sciences; Institute of
   Botany of the Czech Academy of Sciences
RP Münzbergová, Z (corresponding author), Charles Univ Prague, Fac Sci, Dept Bot, Prague, Czech Republic.; Münzbergová, Z (corresponding author), Acad Sci Czech Republ, Inst Bot, Pruhonice, Czech Republic.
EM zuzmun@natur.cuni.cz
RI Latzel, Vít/H-1604-2014; Munzbergova, Zuzana/F-6321-2013; Hadincova,
   Veroslava/D-4572-2013
OI Munzbergova, Zuzana/0000-0002-4026-6220; Latzel,
   Vit/0000-0003-0025-5049; Hadincova, Veroslava/0000-0002-3825-1919
CR Agrawal AA, 2008, J ECOL, V96, P536, DOI 10.1111/j.1365-2745.2008.01365.x
   Amoah S, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-193
   Ashraf M, 2013, PHOTOSYNTHETICA, V51, P163, DOI 10.1007/s11099-013-0021-6
   Atighi MR, 2020, NEW PHYTOL, V227, P545, DOI 10.1111/nph.16532
   Azhar A, 2014, ADV MATER RES-SWITZ, V844, P11, DOI 10.4028/www.scientific.net/AMR.844.11
   Baer A, 2020, ANN BOT-LONDON, V125, P691, DOI 10.1093/aob/mcaa006
   Baker NR, 2004, J EXP BOT, V55, P1607, DOI 10.1093/jxb/erh196
   Balachandran S, 1997, PHYSIOL PLANTARUM, V100, P203, DOI 10.1034/j.1399-3054.1997.1000201.x
   Bartlett MK, 2014, ECOL LETT, V17, P1580, DOI 10.1111/ele.12374
   Becker C, 2012, CURR OPIN PLANT BIOL, V15, P562, DOI 10.1016/j.pbi.2012.08.004
   Becker C, 2011, NATURE, V480, P245, DOI 10.1038/nature10555
   Becklin KM, 2016, PLANT PHYSIOL, V172, P635, DOI 10.1104/pp.16.00793
   BEERLING DJ, 1993, ANN BOT-LONDON, V71, P231, DOI 10.1006/anbo.1993.1029
   Belluau M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193130
   Bezemer TM, 1998, GLOB CHANGE BIOL, V4, P687, DOI 10.1046/j.1365-2486.1998.00184.x
   Bossdorf O, 2008, ECOL LETT, V11, P106, DOI 10.1111/j.1461-0248.2007.01130.x
   Bossdorf O, 2010, EVOL ECOL, V24, P541, DOI 10.1007/s10682-010-9372-7
   Bussotti F, 2005, TREE PHYSIOL, V25, P211, DOI 10.1093/treephys/25.2.211
   Cameron DD, 2008, ANN BOT-LONDON, V101, P573, DOI 10.1093/aob/mcm324
   Carlson JE, 2016, ANN BOT-LONDON, V117, P195, DOI 10.1093/aob/mcv146
   Cavieres LA, 2000, PLANT ECOL, V149, P1, DOI 10.1023/A:1009802806674
   Christman JK, 2002, ONCOGENE, V21, P5483, DOI 10.1038/sj.onc.1205699
   Colaneri AC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059878
   De Frenne P, 2011, GLOBAL CHANGE BIOL, V17, P3240, DOI 10.1111/j.1365-2486.2011.02449.x
   Dubin MJ, 2015, ELIFE, V4, DOI 10.7554/eLife.05255
   Fagúndez J, 2013, ANN BOT-LONDON, V111, P151, DOI 10.1093/aob/mcs257
   Foust CM, 2016, MOL ECOL, V25, P1639, DOI 10.1111/mec.13522
   Franks PJ, 2009, PLANT CELL ENVIRON, V32, P1737, DOI [10.1111/j.1365-3040.2009.002031.x, 10.1111/j.1365-3040.2009.02031.x]
   Gallego-Bartolomé J, 2020, NEW PHYTOL, V227, P38, DOI 10.1111/nph.16529
   Ganguly DR, 2018, PLANT CELL ENVIRON, V41, P1657, DOI 10.1111/pce.13324
   Ganguly DR, 2017, PLANT PHYSIOL, V175, P1893, DOI 10.1104/pp.17.00744
   Gáspár B, 2019, NEW PHYTOL, V221, P1585, DOI 10.1111/nph.15487
   González APR, 2017, EVOL ECOL, V31, P345, DOI 10.1007/s10682-016-9844-5
   González APR, 2016, AM J BOT, V103, P1567, DOI 10.3732/ajb.1500526
   Griffin PT, 2016, G3-GENES GENOM GENET, V6, P2773, DOI 10.1534/g3.116.030262
   Gugger PF, 2016, MOL ECOL, V25, P1665, DOI 10.1111/mec.13563
   Gugger S, 2015, ANN BOT-LONDON, V116, P953, DOI 10.1093/aob/mcv155
   Han SK, 2016, DEVELOPMENT, V143, P1259, DOI 10.1242/dev.127712
   Han SK, 2014, J EXP BOT, V65, P2785, DOI 10.1093/jxb/ert403
   Hao XF, 2020, PLANT SOIL, V453, P355, DOI 10.1007/s11104-020-04590-5
   dos Santos VAHF, 2020, FOREST ECOL MANAG, V460, DOI 10.1016/j.foreco.2020.117900
   Harris CJ, 2018, SCIENCE, V362, P1182, DOI 10.1126/science.aar7854
   Herrera CM, 2012, MOL ECOL, V21, P2602, DOI 10.1111/j.1365-294X.2011.05402.x
   Herrera CM, 2011, MOL ECOL, V20, P1675, DOI 10.1111/j.1365-294X.2011.05026.x
   Herrera CM, 2017, AM J BOT, V104, P1195, DOI 10.3732/ajb.1700162
   Herrera CM, 2016, MOL ECOL, V25, P1653, DOI 10.1111/mec.13576
   Herrera CM, 2013, BOT J LINN SOC, V171, P441, DOI 10.1111/boj.12007
   Hurlbert SH, 2004, OIKOS, V104, P591, DOI 10.1111/j.0030-1299.2004.12752.x
   HURLBERT SH, 1984, ECOL MONOGR, V54, P187, DOI 10.2307/1942661
   Issa JPJ, 2009, CLIN CANCER RES, V15, P3938, DOI 10.1158/1078-0432.CCR-08-2783
   Jahns P, 2012, BBA-BIOENERGETICS, V1817, P182, DOI 10.1016/j.bbabio.2011.04.012
   Jerbi A, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139728
   Johnson SN, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00489
   JONES PA, 1983, RECENT RES CANCER, V84, P202
   Jueterbock A, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.571646
   Keller TE, 2016, MOL ECOL, V25, P1823, DOI 10.1111/mec.13573
   Kitayama K, 1997, ANN BOT-LONDON, V80, P491, DOI 10.1006/anbo.1996.0473
   Klanderud K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130205
   Kondo H, 2006, PHYSIOL PLANTARUM, V127, P130, DOI 10.1111/j.1399-3054.2005.00635.x
   Konôpková A, 2019, FLORA, V250, P37, DOI 10.1016/j.flora.2018.11.012
   Kosová V, 2022, PHYSIOL PLANTARUM, V174, DOI 10.1111/ppl.13608
   Kumpatla SP, 1998, PLANT MOL BIOL, V38, P1113, DOI 10.1023/A:1006071018039
   LANDE R, 1983, EVOLUTION, V37, P1210, DOI [10.2307/2408842, 10.1111/j.1558-5646.1983.tb00236.x]
   Lira-Medeiros CF, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010326
   Lisch D, 2013, NAT REV GENET, V14, P49, DOI 10.1038/nrg3374
   Liu JY, 2020, TREE PHYSIOL, V40, P1178, DOI 10.1093/treephys/tpaa069
   Madliger CL, 2018, CONSERV PHYSIOL, V6, DOI 10.1093/conphys/coy029
   Madriaza K, 2019, INT J PLANT SCI, V180, P81, DOI 10.1086/700583
   Májeková M, 2019, FUNCT ECOL, V33, P774, DOI 10.1111/1365-2435.13312
   Maricle BR, 2011, ENVIRON EXP BOT, V72, P223, DOI 10.1016/j.envexpbot.2011.03.011
   Matías L, 2014, J EXP BOT, V65, P299, DOI 10.1093/jxb/ert376
   Maxwell K, 2000, J EXP BOT, V51, P659, DOI 10.1093/jexbot/51.345.659
   McGuigan K, 2021, PHILOS T R SOC B, V376, DOI 10.1098/rstb.2020.0119
   Medrano M, 2020, AOB PLANTS, V12, DOI 10.1093/aobpla/plaa013
   Medrano M, 2014, MOL ECOL, V23, P4926, DOI 10.1111/mec.12911
   Meineri E, 2014, J VEG SCI, V25, P275, DOI 10.1111/jvs.12062
   Meineri E, 2013, PLANT ECOL, V214, P607, DOI 10.1007/s11258-013-0193-y
   Meineri E, 2012, ECOL MODEL, V231, P1, DOI 10.1016/j.ecolmodel.2012.01.021
   Miryeganeh M, 2020, POPUL ECOL, V62, P17, DOI 10.1002/1438-390X.12018
   Molina-Montenegro MA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076432
   Muir CD, 2014, GENETICS, V198, P1629, DOI 10.1534/genetics.114.169276
   Münzbergová Z, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00400
   Münzbergová Z, 2019, OIKOS, V128, P124, DOI 10.1111/oik.05591
   Münzbergová Z, 2019, PHOTOSYNTH RES, V140, P289, DOI 10.1007/s11120-018-0604-y
   Munzbergová Z, 2017, J ECOL, V105, P1358, DOI 10.1111/1365-2745.12762
   Münzbergová Z, 2017, ECOL EVOL, V7, P5236, DOI 10.1002/ece3.3105
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Nixon PJ, 2010, ANN BOT-LONDON, V106, P1, DOI 10.1093/aob/mcq059
   Nowicka A, 2020, PLANT J, V102, P68, DOI 10.1111/tpj.14612
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Oksanen L, 2001, OIKOS, V94, P27, DOI 10.1034/j.1600-0706.2001.11311.x
   Osorio-Montalvo P, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19103182
   Paszkowski J, 2015, CURR OPIN BIOTECH, V32, P200, DOI 10.1016/j.copbio.2015.01.003
   Pavlíková Z, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188795
   Perez TM, 2020, FUNCT ECOL, V34, P2236, DOI 10.1111/1365-2435.13658
   Pfeifer GP, 2006, CURR TOP MICROBIOL, V301, P259
   Platt A, 2015, MOL ECOL, V24, P3823, DOI 10.1111/mec.13230
   Puy J, 2018, METHODS ECOL EVOL, V9, P744, DOI 10.1111/2041-210X.12903
   Quan JX, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.8959
   R Development Core Team, 2011, VERS 4 0 3 LANG ENV
   Raj S, 2011, P NATL ACAD SCI USA, V108, P12521, DOI 10.1073/pnas.1103341108
   Ramírez-Valiente JA, 2018, MOL ECOL, V27, P2176, DOI 10.1111/mec.14566
   Raven JA, 2002, NEW PHYTOL, V153, P371, DOI 10.1046/j.0028-646X.2001.00334.x
   Reinhardt K, 2011, TREE PHYSIOL, V31, P615, DOI 10.1093/treephys/tpr055
   Richards CL, 2017, ECOL LETT, V20, P1576, DOI 10.1111/ele.12858
   Richards CL, 2012, ECOL LETT, V15, P1016, DOI 10.1111/j.1461-0248.2012.01824.x
   Rolhauser AG, 2019, J ECOL, V107, P1457, DOI 10.1111/1365-2745.13094
   Sakoda K, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.589603
   Sammarco I, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.827166
   SANO H, 1990, MOL GEN GENET, V220, P441, DOI 10.1007/BF00391751
   Scheepens JF, 2013, OECOLOGIA, V171, P679, DOI 10.1007/s00442-012-2582-7
   Schmitz RJ, 2011, SCIENCE, V334, P369, DOI 10.1126/science.1212959
   Sheldon EL, 2018, ROY SOC OPEN SCI, V5, DOI 10.1098/rsos.172185
   Shi QW, 2020, PLANT SOIL, V447, P99, DOI 10.1007/s11104-019-04041-w
   Shi W, 2019, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01851
   Souther S, 2012, ANN BOT-LONDON, V110, P829, DOI 10.1093/aob/mcs155
   Spens AE, 2016, BIOL INVASIONS, V18, P2457, DOI 10.1007/s10530-016-1223-1
   Stebbins GL., 1965, GEN COL SPEC P 1 INT, P147
   Stojanova B, 2019, J EVOLUTION BIOL, V32, P1057, DOI 10.1111/jeb.13507
   Stojanova B, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194670
   Surinová M, 2019, J PLANT ECOL, V12, P730, DOI 10.1093/jpe/rtz010
   Szymanska R, 2017, ENVIRON EXP BOT, V139, P165, DOI 10.1016/j.envexpbot.2017.05.002
   Tang YL, 2007, PLANT PHYSIOL, V143, P629, DOI 10.1104/pp.106.090712
   Thiebaut F, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00246
   Thuiller W, 2005, P NATL ACAD SCI USA, V102, P8245, DOI 10.1073/pnas.0409902102
   Torii KU, 2015, CURR OPIN PLANT BIOL, V28, P16, DOI 10.1016/j.pbi.2015.08.005
   Tricker PJ, 2013, INT J MOL SCI, V14, P6674, DOI 10.3390/ijms14046674
   Tricker PJ, 2012, J EXP BOT, V63, P3799, DOI 10.1093/jxb/ers076
   Vandvik V, 2016, OIKOS, V125, P218, DOI 10.1111/oik.02022
   Verhoeven KJF, 2016, MOL ECOL, V25, P1631, DOI 10.1111/mec.13617
   Volis S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121153
   Vráblová M, 2018, ENVIRON EXP BOT, V156, P316, DOI 10.1016/j.envexpbot.2018.09.012
   Walsh CP, 2006, CURR TOP MICROBIOL, V301, P283
   Walsh MR, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2271
   Wang MZ, 2020, HEREDITY, V124, P146, DOI 10.1038/s41437-019-0261-8
   Wang ZW, 2016, OECOLOGIA, V180, P409, DOI 10.1007/s00442-015-3480-6
   Xiao XL, 2019, J INTEGR PLANT BIOL, V61, P110, DOI 10.1111/jipb.12768
   Yamori W, 2014, PHOTOSYNTH RES, V119, P101, DOI 10.1007/s11120-013-9874-6
   Yan WM, 2017, GLOBAL CHANGE BIOL, V23, P3781, DOI 10.1111/gcb.13654
   Younginger BS, 2017, APPL PLANT SCI, V5, DOI 10.3732/apps.1600094
   Zhang BB, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106448
   Zhang FF, 2012, SCI WORLD J, P1, DOI 10.1100/2012/601263
   Zhang HX, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105139
   Zhang KR, 2018, PLANT SOIL, V431, P19, DOI 10.1007/s11104-018-3743-1
   Zhang YX, 2020, PLANT PHYSIOL BIOCH, V147, P91, DOI 10.1016/j.plaphy.2019.12.010
NR 145
TC 2
Z9 2
U1 2
U2 24
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD OCT 14
PY 2022
VL 12
IS 1
AR 17262
DI 10.1038/s41598-022-22125-z
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 5U0RL
UT WOS:000876261700044
PM 36241768
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Yang, QQ
   Gao, YH
   Yang, XJ
   Zhang, J
AF Yang, Qingqing
   Gao, Yanhui
   Yang, Xinjun
   Zhang, Jian
TI Rural Transformation Driven by Households' Adaptation to Climate,
   Policy, Market, and Urbanization: Perspectives from Livelihoods-Land Use
   on Chinese Loess Plateau
SO AGRICULTURE-BASEL
LA English
DT Article
DE household survey; environmental change; household behavior;
   non-agricultural transformation; eco-transformation; traditional
   agricultural areas
ID AGRICULTURAL PRACTICES; ECOLOGICAL IMPACTS; RAPID URBANIZATION; URBAN
   MIGRATION; GLOBALIZATION; STRATEGIES; VILLAGE; REGION; SUSTAINABILITY;
   VULNERABILITY
AB Regional rural systems respond to global environmental change with multi-dimensional transformation. However, in the widespread traditional agricultural areas, rural transformation is often seen as invisible and sometimes remains hidden by official statistics of urbanization and industrialization at a regional level. The study implemented field survey and ethnography methods, exploring the trajectory and driving paths of rural transformation in traditional agricultural areas. The findings indicate that the dominant livelihood experienced a transitional trajectory from traditional farming to jujube-oriented and then to a non-farming livelihood. Furthermore, the land use showed an eco-transformation from farmland to forest land, and from cultivated land gradually to uncultivated land. We also find that the household behaviors actively or passively adapted to environmental effects, such as climate change, market change, urbanization impact, and policy regulation, and then drove non-agricultural transformation and eco-transformation in traditional agricultural areas. Based on these findings, the study confirms that there is a clear rural transformation in traditional agricultural areas, and reveals that the Loess Plateau turned green from bottom to top. Finally, the study calls to take the road of green transformation, and proposals are presented in terms of ecology, livelihood, and industry.
C1 [Yang, Qingqing] Shaanxi Normal Univ, Northwest Land & Resource Res Ctr, Global Reg & Urban Res Inst, Xian 710119, Peoples R China.
   [Gao, Yanhui] Xian Int Studies Univ, Sch Tourism, Xian 710128, Peoples R China.
   [Gao, Yanhui] Xian Int Studies Univ, Res Inst Human Geog, Xian 710128, Peoples R China.
   [Yang, Xinjun] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China.
   [Zhang, Jian] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
C3 Shaanxi Normal University; Xi'an International Studies University; Xi'an
   International Studies University; Northwest University Xi'an; Shaanxi
   Normal University
RP Gao, YH (corresponding author), Xian Int Studies Univ, Sch Tourism, Xian 710128, Peoples R China.; Gao, YH (corresponding author), Xian Int Studies Univ, Res Inst Human Geog, Xian 710128, Peoples R China.; Yang, XJ (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China.
EM qingqingyang@snnu.edu.cn; rwdlh@163.com; yangxj@nwu.edu.cn;
   zhangxiaopang9506@163.com
RI yang, xinjun/D-1475-2017
OI YANG, Qingqing/0000-0001-6458-5317; Yang, Xinjun/0000-0002-4458-3485;
   GAO, Yanhui/0000-0002-8104-3875
FU National Natural Sciences Foundation of China [42001202, 41831284]
FX This research was funded by National Natural Sciences Foundation of
   China, grant number 42001202, 41831284.
CR Aiyar A, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105258
   [Anonymous], 2009, SE ASIAN STUD
   Baffoe G, 2018, ECOL INDIC, V93, P424, DOI 10.1016/j.ecolind.2018.04.074
   Barbier EB, 2020, WORLD DEV, V131, DOI 10.1016/j.worlddev.2020.104955
   Belton B, 2019, J RURAL STUD, V67, P166, DOI 10.1016/j.jrurstud.2019.02.012
   Benessaiah K, 2021, J RURAL STUD, V84, P76, DOI 10.1016/j.jrurstud.2021.02.005
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Chepkoech W, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100204
   Christiaensen L, 2014, WORLD DEV, V63, P43, DOI 10.1016/j.worlddev.2013.10.002
   Compilation Team for Annals of Anxin County, 2000, Annals of Anxin County
   Dale VH, 2007, ECOL ECON, V64, P286, DOI 10.1016/j.ecolecon.2007.05.009
   Dang XH, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2020.137436
   de Brauw A, 2014, WORLD DEV, V63, P33, DOI 10.1016/j.worlddev.2013.10.013
   Diao XS, 2019, WORLD DEV, V121, P141, DOI 10.1016/j.worlddev.2019.05.001
   Escarcha JF, 2020, ENVIRON DEV, V33, DOI 10.1016/j.envdev.2019.100468
   Fahmi FZ, 2020, HABITAT INT, V98, DOI 10.1016/j.habitatint.2020.102150
   Falk William., 2003, Communities of Work: Rural Restructuring in Local and Global Contexts
   Fang YP, 2016, HABITAT INT, V53, P254, DOI 10.1016/j.habitatint.2015.11.035
   Fang Z, 2022, SCI TOTAL ENVIRON, V831, DOI 10.1016/j.scitotenv.2022.154967
   Fink M, 2013, TECHNOL FORECAST SOC, V80, P243, DOI 10.1016/j.techfore.2011.10.001
   Gao CL, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104609
   [高海东 Gao Haidong], 2015, [地理学报, Acta Geographica Sinica], V70, P1503
   Ge DZ, 2020, J RURAL STUD, V76, P85, DOI 10.1016/j.jrurstud.2020.04.010
   Ge DZ, 2019, LAND USE POLICY, V86, P113, DOI 10.1016/j.landusepol.2019.05.002
   González-Avila S, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136858
   GRAINGER A, 1995, GEOGRAPHY, V80, P235
   Hedlund M, 2015, J RURAL STUD, V42, P123, DOI 10.1016/j.jrurstud.2015.10.006
   Hoggart K, 2001, J RURAL STUD, V17, P41, DOI 10.1016/S0743-0167(00)00036-X
   [胡书玲 Hu Shuling], 2019, [地理研究, Geographical Research], V38, P2833
   Jia P, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.150755
   Jin SZ, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105604
   Kates RW, 2011, P NATL ACAD SCI USA, V108, P19449, DOI 10.1073/pnas.1116097108
   Kawaguchi H., 1967, DEV ECON, V5, P301, DOI [10.1111/j.1746-1049.1967.tb00501.x, DOI 10.1111/J.1746-1049.1967.TB00501.X]
   Kilawe CJ, 2018, APPL GEOGR, V94, P84, DOI 10.1016/j.apgeog.2018.03.002
   Kong R, 2019, APPL GEOGR, V102, P84, DOI 10.1016/j.apgeog.2018.12.006
   Li HB, 2022, J RURAL STUD, V93, P234, DOI 10.1016/j.jrurstud.2019.03.005
   Liu SD, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2022.152927
   Liu XQ, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108096
   Liu YS, 2017, NATURE, V548, P275, DOI 10.1038/548275a
   Liu YS, 2009, J GEOGR SCI, V19, P557, DOI 10.1007/s11442-009-0557-3
   Liu YQ, 2015, LAND USE POLICY, V47, P293, DOI 10.1016/j.landusepol.2015.04.023
   Long HL, 2012, J GEOGR SCI, V22, P548, DOI 10.1007/s11442-012-0946-x
   Long HL, 2011, J RURAL COMMUNITY D, V6, P70
   Long HL, 2011, APPL GEOGR, V31, P1094, DOI 10.1016/j.apgeog.2011.02.006
   [鲁大铭 Lu Daming], 2020, [地理学报, Acta Geographica Sinica], V75, P348
   Ma WQ, 2018, J CLEAN PROD, V205, P76, DOI 10.1016/j.jclepro.2018.08.323
   Maharjan A, 2020, APPL GEOGR, V124, DOI 10.1016/j.apgeog.2020.102278
   Matewos T, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100209
   May CK, 2019, OCEAN COAST MANAGE, V169, P86, DOI 10.1016/j.ocecoaman.2018.12.007
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Meiyappan P, 2017, REG ENVIRON CHANGE, V17, P753, DOI 10.1007/s10113-016-1068-2
   Melendez-Pastor I, 2014, APPL GEOGR, V52, P34, DOI 10.1016/j.apgeog.2014.04.013
   Munton R.J.C., 1990, TECHNOLOGICAL CHANGE
   Olowo SF, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12030372
   Peng H, 2007, J ENVIRON MANAGE, V85, P774, DOI 10.1016/j.jenvman.2006.09.015
   Peng J, 2017, ECOL INDIC, V72, P399, DOI 10.1016/j.ecolind.2016.08.024
   Nguyen Q, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104896
   Ritchie DonaldA., 2003, Doing Oral History, A Practical Guide
   Shah J, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12030412
   Su SL, 2011, APPL GEOGR, V31, P439, DOI 10.1016/j.apgeog.2010.10.008
   Suesse M, 2020, J DEV ECON, V143, DOI 10.1016/j.jdeveco.2019.102429
   Tahiru A, 2019, CLIM RISK MANAG, V26, DOI 10.1016/j.crm.2019.100197
   Tang Q, 2013, APPL GEOGR, V41, P15, DOI 10.1016/j.apgeog.2013.03.007
   Terluin IJ, 2003, J RURAL STUD, V19, P327, DOI 10.1016/S0743-0167(02)00071-2
   van Duijne RJ, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.104610
   Wang CC, 2021, J RURAL STUD, V81, P159, DOI 10.1016/j.jrurstud.2020.10.017
   Wang DC, 2012, INT J APPL EARTH OBS, V14, P12, DOI 10.1016/j.jag.2011.08.007
   WEITZ R, 1965, J FARM ECON, V47, P634, DOI 10.2307/1236278
   Woods M., 2005, Rural Geography
   Woods M, 2007, PROG HUM GEOG, V31, P485, DOI 10.1177/0309132507079503
   Woods M, 2013, J RURAL COMMUNITY D, V8, P113
   Woods M, 2011, EUR COUNTRYS, V3, P153, DOI 10.2478/v10091-012-0001-z
   Woods M, 2009, PROG HUM GEOG, V33, P849, DOI 10.1177/0309132508105001
   Wu KS, 2022, LAND-BASEL, V11, DOI 10.3390/land11020157
   Xu JB, 2020, J RURAL STUD, V76, P163, DOI 10.1016/j.jrurstud.2020.04.018
   Xu Y, 2009, MT RES DEV, V29, P36, DOI 10.1659/mrd.995
   [杨晴青 Yang Qingqing], 2019, [地理科学进展, Progress in Geography], V38, P756
   Yang R, 2022, GROWTH CHANGE, V53, P1102, DOI 10.1111/grow.12562
   Yang R, 2020, HABITAT INT, V104, DOI 10.1016/j.habitatint.2020.102234
   Yang R, 2020, J GEOGR SCI, V30, P1155, DOI 10.1007/s11442-020-1775-y
   Yang X, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11111088
   Yang YY, 2018, LAND USE POLICY, V79, P595, DOI 10.1016/j.landusepol.2018.08.005
   Yu P, 2020, SCI TOTAL ENVIRON, V748, DOI 10.1016/j.scitotenv.2020.141099
   Zhou GH, 2013, J GEOGR SCI, V23, P513, DOI 10.1007/s11442-013-1025-7
   Zhu CM, 2021, ECOL INDIC, V127, DOI 10.1016/j.ecolind.2021.107733
NR 85
TC 5
Z9 6
U1 5
U2 54
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD AUG
PY 2022
VL 12
IS 8
AR 1111
DI 10.3390/agriculture12081111
PG 23
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 4C3HE
UT WOS:000846348300001
OA gold
DA 2025-01-10
ER

PT J
AU Kazakou, E
   Vasseur, F
   Sartori, K
   Baron, E
   Rowe, N
   Vile, D
AF Kazakou, Elena
   Vasseur, Francois
   Sartori, Kevin
   Baron, Etienne
   Rowe, Nick
   Vile, Denis
TI Secondary metabolites have more influence than morphophysiological
   traits on litter decomposability across genotypes of <i>Arabidopsis
   thaliana</i>
SO NEW PHYTOLOGIST
LA English
DT Article
DE Arabidopsis thaliana; environment; functional traits; gene ontology;
   glucosinolates; leaf economics spectrum; litter decomposability; natural
   variation
ID LEAF ECONOMICS SPECTRUM; DECOMPOSITION RATE; GENETIC DIVERSITY;
   INTRASPECIFIC VARIABILITY; TERRESTRIAL ECOSYSTEMS; FRACTURE-TOUGHNESS;
   GLOBAL PATTERNS; PLANT-GROWTH; QUALITY; CLIMATE
AB Although interspecific variation in plant phenotype is recognised to impact afterlife processes such as litter decomposability, it is still unclear which traits and selection pressures explain these relationships. Examining intraspecific variation is crucial to identify and compare trait effects on decomposability, and investigate the potential role of natural selection. We studied the genetic variability and relationships between decomposability, plant traits typically related to decomposability at species level (morphophysiological traits), and leaf metabolites among a set of genotypes of Arabidopsis thaliana grown under controlled conditions. We also investigated correlations between decomposability and environmental variables at genotypes collection site. We investigated the genetic architecture of decomposability with genome-wide association studies (GWAS). There was large genetic variability in decomposability that was correlated with precipitation. Morphophysiological traits had a minor effect, while secondary metabolites, especially glucosinolates, were correlated with decomposability. Consistently, GWAS suggested that genes and metabolites related to the composition of cell membranes and envelopes control the variation of decomposability across genotypes. Our study suggests that decomposability varies within species as a result of metabolic adaptation to climate. Our findings highlight that subtle variations of defence-related metabolites like glucosinolates may strongly influence after-life processes such as decomposability.
C1 [Kazakou, Elena] Univ Paul Valery Montpellier, Univ Montpellier, CNRS,EPHE, Montpellier Supagro,UMR CEFE, F-34090 Montpellier, France.
   [Vasseur, Francois; Sartori, Kevin; Baron, Etienne] Univ Paul Valery Montpellier, Univ Montpellier, CNRS, CEFE,EPHE, F-34090 Montpellier, France.
   [Vasseur, Francois; Vile, Denis] Univ Montpellier, Montpellier SupAgro, INRA, LEPSE, F-34060 Montpellier, France.
   [Rowe, Nick] Univ Montpellier, AMAP, CNRS, INRA,IRD,CIRAD, F-34090 Montpellier, France.
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; 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 Montpellier; Institut Agro;
   Montpellier SupAgro; INRAE; CIRAD; Universite de Montpellier; Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); INRAE
RP Kazakou, E (corresponding author), Univ Paul Valery Montpellier, Univ Montpellier, CNRS,EPHE, Montpellier Supagro,UMR CEFE, F-34090 Montpellier, France.
EM elena.kazakou@cefe.cnrs.fr
RI Sartori, Kevin/AEN-1480-2022; Vile, Denis/A-5637-2008
OI Vile, Denis/0000-0002-7948-1462; Kazakou, Elena/0000-0001-7188-8367;
   VASSEUR, Francois/0000-0002-0575-6216; Rowe, Nick/0000-0003-2680-8545;
   Sartori, Kevin/0000-0001-7364-1341
CR Aerts R, 1997, OIKOS, V79, P439, DOI 10.2307/3546886
   Albert CH, 2010, FUNCT ECOL, V24, P1192, DOI 10.1111/j.1365-2435.2010.01727.x
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Ang KY, 2008, NEW PHYTOL, V177, P830, DOI 10.1111/j.1469-8137.2007.02302.x
   Austin AY, 2000, P NATL ACAD SCI USA, V107, P4618
   Barnagaud JY, 2013, ECOGRAPHY, V36, P1218, DOI 10.1111/j.1600-0587.2012.00227.x
   Barton K, 2016, R PACKAGE VERSION, V1, P6, DOI DOI 10.1111/J.1420-9101.2010.02210.X
   Berg B, 2000, FOREST ECOL MANAG, V133, P13, DOI 10.1016/S0378-1127(99)00294-7
   Blonder B, 2018, J ECOL, V106, P1683, DOI 10.1111/1365-2745.12945
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Bumb I, 2018, ANN BOT-LONDON, V121, P459, DOI 10.1093/aob/mcx175
   CHAPIN FS, 1980, ANNU REV ECOL SYST, V11, P233, DOI 10.1146/annurev.es.11.110180.001313
   Chomel M, 2016, J ECOL, V104, P1527, DOI 10.1111/1365-2745.12644
   CHOONG MF, 1992, NEW PHYTOL, V121, P597, DOI 10.1111/j.1469-8137.1992.tb01131.x
   Clark RM, 2007, SCIENCE, V317, P338, DOI 10.1126/science.1138632
   COLEY PD, 1988, OECOLOGIA, V74, P531, DOI 10.1007/BF00380050
   Cornelissen JHC, 1999, NEW PHYTOL, V143, P191, DOI 10.1046/j.1469-8137.1999.00430.x
   Cornelissen JHC, 1997, NEW PHYTOL, V135, P109, DOI 10.1046/j.1469-8137.1997.00628.x
   Cornelissen JHC, 2004, FUNCT ECOL, V18, P779, DOI 10.1111/j.0269-8463.2004.00900.x
   Cornwell WK, 2008, ECOL LETT, V11, P1065, DOI 10.1111/j.1461-0248.2008.01219.x
   Cortez J, 2007, PLANT SOIL, V296, P19, DOI 10.1007/s11104-007-9285-6
   COUTEAUX MM, 1995, TRENDS ECOL EVOL, V10, P63, DOI 10.1016/S0169-5347(00)88978-8
   Crutsinger GM, 2006, SCIENCE, V313, P966, DOI 10.1126/science.1128326
   Crutsinger GM, 2009, BASIC APPL ECOL, V10, P535, DOI 10.1016/j.baae.2008.10.011
   Des Roches S, 2018, NAT ECOL EVOL, V2, P57, DOI 10.1038/s41559-017-0402-5
   Donovan LA, 2011, TRENDS ECOL EVOL, V26, P88, DOI 10.1016/j.tree.2010.11.011
   Driebe EM, 2000, OECOLOGIA, V123, P99, DOI 10.1007/s004420050994
   Du Z, 2010, NUCLEIC ACIDS RES, V38, pW64, DOI 10.1093/nar/gkq310
   Exposito-Alonso M, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007155
   Fierer N, 2005, ECOLOGY, V86, P320, DOI 10.1890/04-1254
   Fortunel C, 2009, ECOLOGY, V90, P598, DOI 10.1890/08-0418.1
   GALLARDO A, 1993, ECOLOGY, V74, P152, DOI 10.2307/1939510
   Garnier E., 2016, PLANT FUNCTIONAL DIV, DOI DOI 10.1093/ACPROF:OSO/9780198757368.001.0001
   Grime JP, 1997, OIKOS, V79, P259, DOI 10.2307/3546011
   Grime JP, 1996, OIKOS, V77, P489, DOI 10.2307/3545938
   Grimm DG, 2017, PLANT CELL, V29, P5, DOI 10.1105/tpc.16.00551
   Hättenschwiler S, 2000, TRENDS ECOL EVOL, V15, P238, DOI 10.1016/S0169-5347(00)01861-9
   Hines J, 2013, OECOLOGIA, V173, P1169, DOI 10.1007/s00442-013-2720-x
   Horton MW, 2012, NAT GENET, V44, P212, DOI 10.1038/ng.1042
   Hughes AR, 2004, P NATL ACAD SCI USA, V101, P8998, DOI 10.1073/pnas.0402642101
   Jackson BG, 2013, J ECOL, V101, P1409, DOI 10.1111/1365-2745.12155
   Kang HM, 2010, NAT GENET, V42, P348, DOI 10.1038/ng.548
   Kazakou E, 2006, FUNCT ECOL, V20, P21, DOI 10.1111/j.1365-2435.2006.01080.x
   Kazakou E, 2009, ANN BOT-LONDON, V104, P1151, DOI 10.1093/aob/mcp202
   Kliebenstein D, 2002, GENETICS, V161, P325
   Kurokawa H, 2008, ECOLOGY, V89, P2645, DOI 10.1890/07-1352.1
   Lecerf A, 2008, BASIC APPL ECOL, V9, P598, DOI 10.1016/j.baae.2007.11.003
   Leonard SWJ, 2014, FOREST ECOL MANAG, V314, P85, DOI 10.1016/j.foreco.2013.11.036
   Loranger G, 2002, BIOL FERT SOILS, V35, P247, DOI 10.1007/s00374-002-0467-3
   Madritch MD, 2005, SOIL BIOL BIOCHEM, V37, P319, DOI 10.1016/j.soilbio.2004.08.002
   Madritch MD, 2004, OIKOS, V105, P125, DOI 10.1111/j.0030-1299.2004.12760.x
   Onoda Y, 2011, ECOL LETT, V14, P301, DOI 10.1111/j.1461-0248.2010.01582.x
   Parsons SA, 2008, J TROP ECOL, V24, P317, DOI 10.1017/S0266467408004963
   Pérez-Harguindeguy N, 2013, AUST J BOT, V61, P167, DOI 10.1071/BT12225
   Platt A, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000843
   Quested H, 2007, FUNCT ECOL, V21, P1016, DOI 10.1111/j.1365-2435.2007.01324.x
   R Core Team, 2019, R LANG ENV STAT COMP
   Reich PB, 2004, P NATL ACAD SCI USA, V101, P11001, DOI 10.1073/pnas.0403588101
   Reichelt M, 2002, PHYTOCHEMISTRY, V59, P663, DOI 10.1016/S0031-9422(02)00014-6
   Reusch TBH, 2005, P NATL ACAD SCI USA, V102, P2826, DOI 10.1073/pnas.0500008102
   Santiago LS, 2007, ECOLOGY, V88, P1126, DOI 10.1890/06-1841
   Schielzeth H, 2010, METHODS ECOL EVOL, V1, P103, DOI 10.1111/j.2041-210X.2010.00012.x
   Schweitzer JA, 2005, ECOLOGY, V86, P2834, DOI 10.1890/04-1955
   Schweitzer JA, 2004, ECOL LETT, V7, P127, DOI 10.1111/j.1461-0248.2003.00562.x
   Shantz AA, 2014, ECOLOGY, V95, P1995, DOI 10.1890/13-1407.1
   Shipley B, 2007, ANN BOT-LONDON, V99, P965, DOI 10.1093/aob/mcm039
   Silfver T, 2007, OECOLOGIA, V152, P707, DOI 10.1007/s00442-007-0695-1
   Silfver T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116806
   Silfver T, 2009, FOREST ECOL MANAG, V257, P2145, DOI 10.1016/j.foreco.2009.02.020
   Supek F, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021800
   Swift MJ, 1998, GLOBAL CHANGE BIOL, V4, P729, DOI 10.1046/j.1365-2486.1998.00207.x
   Treseder KK, 2001, ECOLOGY, V82, P946, DOI 10.1890/0012-9658(2001)082[0946:EOSNAO]2.0.CO;2
   Vaieretti MV, 2005, PLANT SOIL, V278, P223, DOI 10.1007/s11104-005-8432-1
   Vasseur F, 2018, ANN BOT-LONDON, V122, P935, DOI 10.1093/aob/mcy165
   Vasseur F, 2018, P NATL ACAD SCI USA, V115, P3416, DOI 10.1073/pnas.1709141115
   Vasseur F, 2012, ECOL LETT, V15, P1149, DOI 10.1111/j.1461-0248.2012.01839.x
   Violle C, 2012, TRENDS ECOL EVOL, V27, P244, DOI 10.1016/j.tree.2011.11.014
   Wardle DA, 2002, FUNCT ECOL, V16, P585, DOI 10.1046/j.1365-2435.2002.00659.x
   Welti EAR, 2015, ECOL EVOL, V5, P326, DOI 10.1002/ece3.1371
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
   Wright JP, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0272
   Wu S, 2018, MOL PLANT, V11, P118, DOI 10.1016/j.molp.2017.08.012
   Zhou X, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003264
   Zhu YY, 2000, NATURE, V406, P718, DOI 10.1038/35021046
NR 84
TC 6
Z9 8
U1 1
U2 50
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD DEC
PY 2019
VL 224
IS 4
BP 1532
EP 1543
DI 10.1111/nph.15983
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA JK4PU
UT WOS:000494826500015
PM 31179544
OA Green Published
DA 2025-01-10
ER

PT J
AU Nems, M
   Nems, A
   Kasperski, J
   Pomorski, M
AF Nems, Magdalena
   Nems, Artur
   Kasperski, Jacek
   Pomorski, Michal
TI Thermo-Hydraulic Analysis of Heat Storage Filled with the Ceramic Bricks
   Dedicated to the Solar Air Heating System
SO MATERIALS
LA English
DT Article
DE heat storage; ceramic brick material; solar air space heating system
ID THERMAL-ENERGY STORAGE; MULTIPLE-FIN ARRAY; ROCK BED STORAGE;
   PACKED-BED; PRESSURE-DROP; PERFORMANCE; TEMPERATURE; EFFICIENCY;
   COLLECTOR; POWER
AB This article presents the results of a study into a packed bed filled with ceramic bricks. The designed storage installation is supposed to become part of a heating system installed in a single-family house and eventually to be integrated with a concentrated solar collector adapted to climate conditions in Poland. The system's working medium is air. The investigated temperature ranges and air volume flow rates in the ceramic bed were dictated by the planned integration with a solar air heater. Designing a packed bed of sufficient parameters first required a mathematical model to be constructed and heat exchange to be analyzed, since heat accumulation is a complex process influenced by a number of material properties. The cases discussed in the literature are based on differing assumptions and different formulas are used in calculations. This article offers a comparison of various mathematical models and of system operating parameters obtained from these models. The primary focus is on the Nusselt number. Furthermore, in the article, the thermo-hydraulic efficiency of the investigated packed bed is presented. This part is based on a relationship used in solar air collectors with internal storage.
C1 [Nems, Magdalena; Nems, Artur; Kasperski, Jacek; Pomorski, Michal] Wroclaw Univ Sci & Technol, Fac Mech & Power Engn, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland.
C3 Wroclaw University of Science & Technology
RP Nems, M (corresponding author), Wroclaw Univ Sci & Technol, Fac Mech & Power Engn, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland.
EM magdalena.nems@pwr.edu.pl; artur.nems@pwr.edu.pl;
   jacek.kasperski@pwr.edu.pl; michal.pomorski@pwr.edu.pl
RI Nemś, Magdalena/HTP-7902-2023
OI Nems, Magdalena/0000-0003-2866-6907; Kasperski,
   Jacek/0000-0001-5975-9941; POMORSKI, MICHAL/0000-0003-4939-1017; Nems,
   Artur/0000-0001-8287-7989
FU Ministry of Science and Higher Education in Poland under grant for
   Wroclaw University of Science and Technology [0402/0232/16]
FX This work is sponsored by Ministry of Science and Higher Education in
   Poland under the grant for Wroclaw University of Science and Technology.
   Project No 0402/0232/16.
CR ABBUD IA, 1995, SOL ENERGY, V54, P75, DOI 10.1016/0038-092X(94)00101-I
   Allen KG, 2014, SOL ENERG MAT SOL C, V126, P170, DOI 10.1016/j.solmat.2014.03.030
   [Anonymous], 2017, Convection in Porous Media
   [Anonymous], HEAT TRANSFER
   BEASLEY DE, 1984, INT J HEAT MASS TRAN, V27, P1659, DOI 10.1016/0017-9310(84)90278-3
   Cabeza L. F., 2011, SURPLUS HEAT MANAGEM
   CHANDRA P, 1981, SOL ENERGY, V27, P547, DOI 10.1016/0038-092X(81)90050-5
   CORTES A, 1990, APPL ENERG, V36, P253, DOI 10.1016/0306-2619(90)90001-T
   Domanski R., 1990, STORAGE HEAT ENERGY
   El-Sebaii AA, 2007, ENERG CONVERS MANAGE, V48, P990, DOI 10.1016/j.enconman.2006.08.010
   Fernandez AI, 2010, SOL ENERG MAT SOL C, V94, P1723, DOI 10.1016/j.solmat.2010.05.035
   GARG HP, 1981, ENERG CONVERS MANAGE, V21, P275, DOI 10.1016/0196-8904(81)90024-8
   Grabarczyk C. Z., 1997, FLOWS CLOSED CONDUIT
   Gupta D, 1997, SOL ENERGY, V61, P33, DOI 10.1016/S0038-092X(97)00005-4
   Jezowiecka-Kabsch K., 2001, FLUID MECH
   Kasperski J, 2013, APPL THERM ENG, V58, P411, DOI 10.1016/j.applthermaleng.2013.04.018
   Kline S.J., 1952, ASME Mechanical Engineering, V75, P3
   Kostowski E., 2006, COLLECTION TASKS HEA
   Kürklü A, 2003, RENEW ENERG, V28, P683, DOI 10.1016/S0960-1481(02)00109-X
   Mehling H, 2008, HEAT MASS TRANSF, P1
   MEIER A, 1991, SOL ENERG MATER, V24, P255, DOI 10.1016/0165-1633(91)90066-T
   Mittal MK, 2006, SOL ENERGY, V80, P1112, DOI 10.1016/j.solener.2005.10.004
   Mittal V., 2012, J TECHNOL INNOV RENE, V1, P63
   Nems M, 2016, RENEW ENERG, V97, P722, DOI 10.1016/j.renene.2016.06.038
   Pelech A., 2013, FUNDAMENTALS AIR CON
   SAGARA K, 1991, SOL ENERGY, V47, P157, DOI 10.1016/0038-092X(91)90074-7
   Singh R, 2006, SOL ENERGY, V80, P760, DOI 10.1016/j.solener.2005.07.001
   Singh S, 2016, HEAT TRANSFER ENG, V37, P1302, DOI 10.1080/01457632.2015.1119619
   Starr C. H., 1993, ENERGY, V18, P33
   WAKAO N, 1979, CHEM ENG SCI, V34, P325, DOI 10.1016/0009-2509(79)85064-2
   Zanganeh G, 2012, SOL ENERGY, V86, P3084, DOI 10.1016/j.solener.2012.07.019
NR 31
TC 16
Z9 16
U1 0
U2 11
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 1996-1944
J9 MATERIALS
JI Materials
PD AUG
PY 2017
VL 10
IS 8
AR 940
DI 10.3390/ma10080940
PG 20
WC Chemistry, Physical; Materials Science, Multidisciplinary; Metallurgy &
   Metallurgical Engineering; Physics, Applied; Physics, Condensed Matter
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Materials Science; Metallurgy & Metallurgical Engineering;
   Physics
GA FF2MN
UT WOS:000408731600094
PM 28805703
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU O'Corry-Crowe, G
   Mahoney, AR
   Suydam, R
   Quakenbush, L
   Whiting, A
   Lowry, L
   Harwood, L
AF O'Corry-Crowe, Greg
   Mahoney, Andrew R.
   Suydam, Robert
   Quakenbush, Lori
   Whiting, Alex
   Lowry, Lloyd
   Harwood, Lois
TI Genetic profiling links changing sea-ice to shifting beluga whale
   migration patterns
SO BIOLOGY LETTERS
LA English
DT Article
DE migration; sea-ice; climate change; beluga whale; Delphinapterus leucas;
   killer whale
ID CHUKCHI SEA; FISH COMMUNITIES; EASTERN CHUKCHI; BEAUFORT SEA; SYSTEM
AB There is increasing concern over how Arctic fauna will adapt to climate related changes in sea-ice. We used long-term sighting and genetic data on beluga whales (Delphinapterus leucas) in conjunction with multi-decadal patterns of sea-ice in the Pacific Arctic to investigate the influence of sea-ice on spring migration and summer residency patterns. Substantial variations in sea-ice conditions were detected across seasons, years and sub-regions, revealing ice-ocean dynamics more complex than Arctic-wide trends suggest. This variation contrasted with a highly consistent pattern of migration and residency by several populations, indicating that belugas can accommodate widely varying sea-ice conditions to perpetuate philopatry to coastal migration destinations. However, a number of anomalous migration and residency events were detected and coincided with anomalous ice years, and in one case with an increase in killer whale (Orcinus orca) sightings and reported predation on beluga whales. The behavioural shifts were likely driven by changing sea-ice and associated changes in resource dispersion and predation risk. Continued reductions in sea-ice may result in increased predation at key aggregation areas and shifts in beluga whale behaviour with implications for population viability, ecosystem structure and the subsistence cultures that rely on them.
C1 [O'Corry-Crowe, Greg] Florida Atlantic Univ, Harbor Branch Oceanog Inst, Ft Pierce, FL 34946 USA.
   [Mahoney, Andrew R.] Univ Alaska, Inst Geophys, Fairbanks, AK 99708 USA.
   [Suydam, Robert] North Slope Borough, Dept Wildlife Management, Barrow, AK 99723 USA.
   [Quakenbush, Lori] Alaska Dept Fish & Game, Fairbanks, AK 99701 USA.
   [Whiting, Alex] Native Village Kotzebue, Kotzebue, AK 99752 USA.
   [Lowry, Lloyd] Alaska Beluga Whale Comm, Barrow, AK 99723 USA.
   [Harwood, Lois] Fisheries & Oceans Canada, Yellowknife, NT X1A IE2, Canada.
C3 State University System of Florida; Florida Atlantic University; Harbor
   Branch Oceanographic Institute Foundation; University of Alaska System;
   University of Alaska Fairbanks; Alaska Department of Fish & Game;
   Fisheries & Oceans Canada
RP O'Corry-Crowe, G (corresponding author), Florida Atlantic Univ, Harbor Branch Oceanog Inst, Ft Pierce, FL 34946 USA.
EM gocorryc@hboi.fau.edu
RI Harwood, Lois/U-9143-2019
FU Alaska Beluga Whale Committee; National Fish and Wildlife Foundation;
   Harbor Branch Oceanographic Institute at Florida Atlantic University
FX Funding for this project was provided by the Alaska Beluga Whale
   Committee, the National Fish and Wildlife Foundation and Harbor Branch
   Oceanographic Institute at Florida Atlantic University.
CR Banks MA, 2000, J HERED, V91, P87, DOI 10.1093/jhered/91.1.87
   Bhatt US, 2014, ANNU REV ENV RESOUR, V39, P57, DOI 10.1146/annurev-environ-122012-094357
   Cavalieri D.J., 1996, SEA ICE CONCENTRATIO
   Excoffier L, 2015, ARLEQUIN V3 5 INTEGR
   Fossheim M, 2015, NAT CLIM CHANGE, V5, P673, DOI 10.1038/NCLIMATE2647
   FROST KJ, 1993, ARCTIC, V46, P8
   Harwood LA, 2015, CAN MANUSCR REP FISH, V3059
   Heide-Jorgensen MP, 2012, BIOL LETTERS, V8, P270, DOI 10.1098/rsbl.2011.0731
   Higdon JW, 2009, ECOL APPL, V19, P1365, DOI 10.1890/07-1941.1
   Huntington HP, 1999, ARCTIC, V52, P49
   Kovacs Kit M., 2011, Marine Biodiversity, V41, P181, DOI 10.1007/s12526-010-0061-0
   Logerwell E, 2015, PROG OCEANOGR, V136, P115, DOI 10.1016/j.pocean.2015.05.013
   Loseto LL, 2006, CAN J ZOOL, V84, P1743, DOI 10.1139/Z06-160
   O'Corry-Crowe G, 2016, DRYAD DIGITAL REPOSI, DOI [10.5061/dryad.h172b, DOI 10.5061/DRYAD.H172B]
   O'Corry-Crowe G, 2010, POLAR BIOL, V33, P1179, DOI 10.1007/s00300-010-0807-y
   Pritchard JK, 2010, STRUCTURE V2 3 4
   Quakenbush Lori T., 2015, U S National Marine Fisheries Service Marine Fisheries Review, V77, P70
   Suydam RS, 2001, ARCTIC, V54, P237
NR 18
TC 23
Z9 23
U1 15
U2 196
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1744-9561
EI 1744-957X
J9 BIOL LETTERS
JI Biol. Lett.
PD NOV 1
PY 2016
VL 12
IS 11
AR 20160404
DI 10.1098/rsbl.2016.0404
PG 5
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA EE5HO
UT WOS:000389637100006
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU McManus, C
   Prescott, E
   Paludo, GR
   Bianchini, E
   Louvandini, H
   Mariante, AS
AF McManus, C.
   Prescott, E.
   Paludo, G. R.
   Bianchini, E.
   Louvandini, H.
   Mariante, A. S.
TI Heat tolerance in naturalized Brazilian cattle breeds
SO LIVESTOCK SCIENCE
LA English
DT Article
DE Bioclimatology; Conservation; Genetic resources; Heat stress
ID STRESS; ACCLIMATION; PARAMETERS
AB Research carried out at the Sucupira Farm of Embrapa Recursos Geneticos e Biotecnologia, in Brasilia-DF, aimed to evaluate heat tolerance in five naturalized and two exotic breeds of cattle, at different temperatures and humidity, based upon physiological and blood parameters. The data collected included heart rate (HR), rectal temperature (RT), respiratory rate (RR), and sweating rate (SR). Blood was also collected for hemogram analysis and cortisol level. The measurements were taken at 7 am and at 2 pm after the animals were exposed to the sun, with water ad libitum. This procedure was repeated for six days, three in the middle of the dry season when temperatures and humidity were lower and three at the start of the rainy season when temperatures and humidity were higher. Significant statistical differences were observed in RR and HR for day, breed and animal within breed. The analysis indicated that the Junqueira and Nellore breeds are most adapted to climatic conditions in Brasilia; while Mocho Nacional and Holstein breeds were the least adapted. Although sample size is limited, these results are important to identify which breeds are most resistant towards climatic variations observed in the Brasilia region, as well as which physiological parameters are the most indicated for use in animal breeding programs intended to select animals and breeds adapted to thermal stress conditions. (C) 2008 Elsevier B.V. All rights reserved.
C1 [McManus, C.; Prescott, E.; Paludo, G. R.; Bianchini, E.; Louvandini, H.] Univ Brasilia, Fac Agron & Med Vet, BR-70910900 Brasilia, DF, Brazil.
   [Mariante, A. S.] Embrapa Recursos Genet & Biotecnol, BR-70770900 Brasilia, DF, Brazil.
C3 Universidade de Brasilia; Empresa Brasileira de Pesquisa Agropecuaria
   (EMBRAPA)
RP McManus, C (corresponding author), Univ Brasilia, Fac Agron & Med Vet, Caixa Postal 04508, BR-70910900 Brasilia, DF, Brazil.
EM concepta@unb.br
RI Louvandini, Helder/C-9441-2012; Pimentel, Concepta/I-4356-2012
OI Paludo, Giane Regina/0000-0002-9112-1718; Pimentel,
   Concepta/0000-0002-1106-8962; Louvandini, Helder/0000-0001-7129-8463
FU CNPq; FINATEC
FX To the CNPq for scholarships and the FINATEC for financial support.
CR Bertipaglia ECA, 2007, LIVEST SCI, V112, P99, DOI 10.1016/j.livsci.2007.01.159
   BACCARI F, 1986, 1 INT S AN BIOCL TRO, P9
   BICALHO HMS, 1985, THESIS U FEDERAL MIN
   Carvalho FA, 1995, J ANIM SCI, V73, P3570
   Cheung SS, 1998, J APPL PHYSIOL, V84, P1731, DOI 10.1152/jappl.1998.84.5.1731
   DASILVA RG, 1988, REV BRAS GENET, V11, P335
   Dirksen G., 1993, Exame clinico dos bovinos, V3a
   Du Preez JH, 2000, ONDERSTEPOORT J VET, V67, P263
   Euclides K, 1999, REV BRAS ZOOTECN, V28, P275, DOI 10.1590/S1516-35981999000200009
   Ferreira F, 2006, ARQ BRAS MED VET ZOO, V58, P732, DOI 10.1590/S0102-09352006000500005
   Horowitz M, 2001, J THERM BIOL, V26, P357, DOI 10.1016/S0306-4565(01)00044-4
   JAIN N. C., 1993, ESSENTIALS VET HEMAT
   KELLAWAY RC, 1975, AUST J AGR RES, V26, P615, DOI 10.1071/AR9750615
   LASSEN ED, 1995, VET CLIN N AM-EQUINE, V11, P351, DOI 10.1016/S0749-0739(17)30306-1
   Mariante ADS, 2002, THERIOGENOLOGY, V57, P223, DOI 10.1016/S0093-691X(01)00668-9
   MARIANTE AS, 2000, ANIMAIS DESCORBIMENT, V1, P192
   MARIANTE AS, 2006, ANIMASL DISCOVERY DO
   MCDOWELL RE, 1961, J ANIM SCI, V20, P380
   McManus C., 2005, Archivos de Zootecnia, V54, P453
   MCMANUS C, 1999, REUN AN SOC BRAS ZOO
   MCMANUS C, 1997, REV BRAS ZOOTECN, V26, P627
   Mota ls, 1997, THESIS U SAO PAULO
   Muller PB, 1989, BIOCLIMATOLOGIA APLI, P156
   Paludo GR, 2002, REV BRAS ZOOTECN, V31, P1130, DOI 10.1590/S1516-35982002000500009
   PRIMO AT, 1993, 30 ANN M BRAZ AN PRO, P183
   Robinson EN, 1999, TRATADO FISIOLOGIA V, P427
   Rosenberger G, 1993, EXAME CLIN BOVINOS
   Sapolsky RM, 2000, ENDOCR REV, V21, P55, DOI 10.1210/er.21.1.55
   SCHLEGER AV, 1965, AUST J AGR RES, V16, P92, DOI 10.1071/AR9650092
   Selye H., 1978, The stress of life
   Serrano GM, 2004, PESQUI AGROPECU BRAS, V39, P543, DOI 10.1590/S0100-204X2004000600005
   Silva RG., 2000, INTRO BIOCLIMATOLOGI, V1st edn
   SILVEIRA JM, 1988, PATOLOGIA CLIN VET T, P1
   SMITH BP, 1993, TRATADO MED INTERNA
   Stober M., 1993, EXAME CLIN BOVINOS, V2, P44
   SWENSON MJ, 1996, DUKES FISIOLOGIA ANI, V11
   TERRA RL, 1993, TRATADO MED INTERNA, V1, P3
   TUME RK, 1992, MEAT SCI, V31, P211, DOI 10.1016/0309-1740(92)90040-B
   Wintrobe M.M, 1976, CLIN HEMATOLOGY
NR 39
TC 93
Z9 103
U1 0
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1871-1413
EI 1878-0490
J9 LIVEST SCI
JI Livest. Sci.
PD FEB
PY 2009
VL 120
IS 3
SI SI
BP 256
EP 264
DI 10.1016/j.livsci.2008.07.014
PG 9
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 406VI
UT WOS:000263322600012
OA Green Published
DA 2025-01-10
ER

PT J
AU Piterkina, TV
AF Piterkina, T. V.
TI The diel dynamics of vertical migration in hortobiotic spiders (Aranei)
   in clayey semi-desert of the northern Caspian Sea basin
SO ZOOLOGICHESKY ZHURNAL
LA Russian
DT Article
AB The diel periodicity of vertical migrations of herbage-dwelling spiders was investigated in natural biotopes of clayey semi-desert of the northern Caspian Sea basin (western Kazakhstan). Steppe biotopes (microdepressions) and desert ones (microelevations) are shown to have much in common: the abundance and the family composition of the spider population of both biotopes are similar; they differ little only in summer periods. The amplitude of diel fluctuations in the spider abundance is rather significant what is quite typical for cenoses of open space. In spring and autumn, the peaks of spider abundance in both types of biotopes are at night, when air temperature is minimal. In summer, in addition to the night abundance peaks, there are daytime rises due to an increase in the activity of representatives of "southern" taxa - Thomisidae in desert associations and Thomisidae + Salticidae, in steppe ones. The diel rhythmics of vertical migrations in hortobiotic spiders is a complicated phenomenon, which is determined by a number of factors. It is conditioned by environmental factors to some extent and, partly, by the vertical migrations of their preys - phytophagous insects. Thus, the ecological niches in spiders of different taxa are separated in time according to their adaptation to climatic conditions. It brings to a decrease in the competition between representatives of different taxa.
C1 Russian Acad Sci, Severtsov Inst Ecol & Evolut, Moscow 119071, Russia.
C3 Russian Academy of Sciences; Saratov Scientific Center of the Russian
   Academy of Sciences; Severtsov Institute of Ecology & Evolution
RP Piterkina, TV (corresponding author), Russian Acad Sci, Severtsov Inst Ecol & Evolut, Moscow 119071, Russia.
EM piterkina@yandex.ru
RI Grushko, Tatyana/AAC-6186-2022
CR AVANESOVA GA, 1983, 3 VSES KONF POV ZHIV, V1, P71
   Beklemishev V. N., 1934, Trav Inst Rech biol Perm, V6, P119
   CHERNOV Y I, 1970, Zoologicheskii Zhurnal, V49, P137
   Chernov Yu.I., 1975, Zoologicheskii Zh, V54, P884
   CHERNYSHEV VB, 1984, SUTOCHNYE RITMY AKTI
   CLOUDSLEYTHOMPSON JL, 1983, J ARID ENVIRON, V6, P307, DOI 10.1016/S0140-1963(18)31410-1
   DONDALE CD, 1972, CAN J ZOOLOG, V50, P1155, DOI 10.1139/z72-154
   Doskach A.G, 1979, PRIRODNOYE RAYONIROV
   FOX AD, 1986, PEDOBIOLOGIA, V29, P405
   Fujii Yasuhiro, 1997, Acta Arachnologica, V46, P5, DOI 10.2476/asjaa.46.5
   GILYAROV MS, 1964, ZOOL ZH, V53, P443
   GRAMOTENKO VP, 1984, 8 VSES SOV ASHKHABAD, P75
   Kamenetskaya IV, 1952, TrydyKompleksnoy Nauchnoy Expeditsii po Voprosam Polezaschitnogo Lesorazvedeniya, V2, P101
   KUPERSHTEYN ML, 1978, PROBL POCHV ZOOL MIN, P75
   Marc P., 1990, ACTA ZOOL FENN, V190, P279
   MELNICHENKO AN, 1949, POLEZASHCHITNYE POLO
   Mikhajlov K.G., 1985, Trudy Zoologicheskogo Instituta, V139, P63
   MITROSHINA L A, 1990, Ekologiya (Moscow), P75
   MOLODOVA LP, 1986, ZOOL ZH, V65, P300
   OLSHVANG VI, 1974, TRUDY INTA EKOLOGII, P150
   Rode A.A, 1971, ZHIVOTNYE ISKUSSTVEN, P5
   SEYFARTH EA, 1980, PHYSIOL ENTOMOL, V5, P199, DOI 10.1111/j.1365-3032.1980.tb00227.x
   Toms S.V., 1993, Uspekhi Sovremennoi Biologii, V113, P587
   VESELOVA YM, 1986, EKOLOGIYA, P46
   Williams A., 1962, Geological Society of London Memoir, V3, P1
NR 25
TC 0
Z9 0
U1 0
U2 3
PU MEZHDUNARODNAYA KNIGA
PI MOSCOW
PA 39 DIMITROVA UL., 113095 MOSCOW, RUSSIA
SN 0044-5134
J9 ZOOL ZH
JI Zool. Zhurnal
PD NOV
PY 2006
VL 85
IS 11
BP 1332
EP 1340
PG 9
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA 120QG
UT WOS:000243099300008
DA 2025-01-10
ER

PT J
AU Konecny, O
   Sery, O
   Zavadil, T
   Duzí, B
   Kozumplíková, A
   Trojan, J
   Martinát, S
   Novák, R
   Kotek, O
   Lehejcek, J
AF Konecny, Ondrej
   Sery, Ondrej
   Zavadil, Tomas
   Duzi, Barbora
   Kozumplikova, Alice
   Trojan, Jakub
   Martinat, Stanislav
   Novak, Radek
   Kotek, Ondrej
   Lehejcek, Jiri
TI Adapting rural communities to climate change: The undervalued potential
   of agricultural land
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Agricultural land; Ownership; Tenure; Adaptation measures; Rural areas
ID ADAPTATION; OWNERSHIP; BENEFITS; CZECHIA; EUROPE; IMPACT; REGION
AB Rural municipalities in the Czech Republic (central Europe) are important owners of agricultural land, which, if managed appropriately, can be a means of reducing the local impacts of climate change. Previous research has not paid enough attention to rural municipal approaches to farmland management and their role in addressing local climate impacts. The aim of this paper is thus to capture the possible approaches and roles of municipalities in reducing the local impacts of climate change and to show how municipalities, as significant landowners, respond to these impacts. The research is based on semistructured interviews with representatives of rural municipalities and these results are further triangulated through focus groups with farmers in three model areas with different climatic and natural conditions for agriculture. The results showed that rural community leaders are generally unwilling to farm their agricultural land. They mostly lease land to farmers but at the same time do not understand the potential of tenancy agreements to influence farming to mitigate the impacts of climate change locally. Although the communities do not have a systematic and strategic approach to climate adaptation measures, the findings showed the implementation of a range of activities that effectively respond to climate change. Finally, the potential for strengthening governance and consequently rural sustainability lies in systematic counselling to leaders and communities and institutional support.
C1 [Konecny, Ondrej; Kotek, Ondrej] Mendel Univ Brno, Fac Reg Dev & Int Studies, Trida Generala Piky 7, Brno 61300, Czech Republic.
   [Sery, Ondrej] Masaryk Univ, Fac Sci, Dept Geog, Kotlarska 2, Brno 61137, Czech Republic.
   [Zavadil, Tomas] Charles Univ Prague, Fac Sci, Dept Social Geog & Reg Dev, Albertov 6, Prague 2, Czech Republic.
   [Duzi, Barbora; Trojan, Jakub; Martinat, Stanislav] Czech Acad Sci, Dept Environm Geog, Inst Geon, Drobneho 28, Brno 60200, Czech Republic.
   [Lehejcek, Jiri] Tomas Bata Univ, Fac Logist & Crisis Management, Studentske nam 1532, Uherske Hradiste 68601, Czech Republic.
C3 Mendel University in Brno; Masaryk University Brno; Charles University
   Prague; Czech Academy of Sciences; Institute of Geonics of the Czech
   Academy of Sciences; Tomas Bata University Zlin
RP Konecny, O (corresponding author), Mendel Univ Brno, Fac Reg Dev & Int Studies, Trida Generala Piky 7, Brno 61300, Czech Republic.
EM ondrej.konecny@mendelu.cz; ondrej.konecny@mendelu.cz;
   tomas.zavadil@asz.cz; Barbora.Duzi@ugn.cas.cz;
   alice.kozumplikova@mendelu.cz; jakub.trojan@ugn.cas.cz;
   radek.novak@mendelu.cz; radek.novak@mendelu.cz;
   ondrej.konecny@mendelu.cz; lehejcek@utb.cz
RI Zavadil, Tomáš/ACS-7105-2022; Lehejček, Jiří/AAR-9130-2021; Konecny,
   Ondrej/F-6082-2010; Trojan, Jakub/D-6643-2015; Kozumplikova,
   Alice/E-3380-2018
OI Konecny, Ondrej/0000-0003-3098-7726; Trojan, Jakub/0000-0002-6658-8586;
   Kozumplikova, Alice/0000-0001-6593-2747
CR Adeoye-Olatunde OA, 2021, J AM COLL CLIN PHARM, V4, P1358, DOI 10.1002/jac5.1441
   Adusumilli N, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9030053
   Alfieri L, 2015, GLOBAL ENVIRON CHANG, V35, P199, DOI 10.1016/j.gloenvcha.2015.09.004
   [Anonymous], 2013, Climate Smart Agriculture Sourcebook, P570, DOI [10.1007/978-3-319-61194-5, DOI 10.1007/978-3-319-61194-5]
   Baldwin C, 2017, J RURAL STUD, V51, P37, DOI 10.1016/j.jrurstud.2017.01.012
   Barnett MJ, 2020, J RURAL STUD, V78, P107, DOI 10.1016/j.jrurstud.2020.06.026
   Bausch T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051894
   Benesova Z., 2024, Obecni Puda I: Zamer Pachtu a Jeho Zverejneni
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Bocek J, 2022, Irozhlas
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brazdil R., 2015, Sucho v Ceskych zemich, minulost, pritomnost, budoucnost, V400
   Bunkus R, 2020, AGR HUM VALUES, V37, P47, DOI 10.1007/s10460-019-09966-7
   Burdine JT, 2021, MED EDUC, V55, P336, DOI 10.1111/medu.14380
   Buschmann D, 2022, NAT RESOUR FORUM, V46, P377, DOI 10.1111/1477-8947.12262
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   Czech Environmental Information Agency, 2022, Czech national geoportal
   Czech Geodetic and Cadastral Office, 2022, Map services - WMS - public - introduction
   Czech Hydrometeorological Institute, 2019, Aktualizace Komplexni studie dopadu, zranitelnosti a zdroju rizik souvisejicich se zmenou klimatu v CR z roku 2015, V385
   Czech Statistical Office, 2020, Integrovane setreni zemedelstvi
   Czech Statistical Office, 2021, Integrated farm survey - 2020
   Czech Statistical Office, 2023, Statisticka rocenka ceske republiky
   CZECHGLOBE, 2024, Zemedelstvi
   Delgado C, 2023, GEOGR SUSTAIN, V4, P84, DOI 10.1016/j.geosus.2023.01.001
   EEA, 2024, European Climate Risk Assessment: EEA Report 01/2024
   EEA, 2020, EEA Report No. 12/2020, DOI [10.2800/324620, DOI 10.2800/324620]
   Fila D, 2023, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-023-02999-3
   Footitt A., 2007, EEA Technical report No 2/2007 114
   Galan J, 2023, GLOBAL ENVIRON CHANG, V78, DOI 10.1016/j.gloenvcha.2022.102627
   García-Martín M, 2016, LAND USE POLICY, V58, P43, DOI 10.1016/j.landusepol.2016.07.001
   Getimis P, 2006, EUROPEAN MAYOR, P176
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Havlik P., 2015, Climate Change and Food Systems: Global Assessments and Implications for Food Security and Trade, P176
   Homolac L, 2016, AGR ECON-CZECH, V62, P528, DOI 10.17221/250/2015-AGRICECON
   Hrabák J, 2018, NORSK GEOGR TIDSSKR, V72, P257, DOI 10.1080/00291951.2018.1532967
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P143, DOI 10.1007/s10584-011-0344-x
   Institute of Geonics and Tomas Bata University in Zlin, 2024, Vlastnim pudu
   Irvine A, 2013, QUAL RES, V13, P87, DOI 10.1177/1468794112439086
   Jacobs Claire, 2019, EEA Report
   Jensen A., 2016, Climate Adaptation in Local Governance: Institutional Barriers in Danish Municipalities, P102
   Jones A, 2009, AGRON SUSTAIN DEV, V29, P423, DOI 10.1051/agro:2008067
   Jónsdóttir S, 2023, GEOGR SUSTAIN, V4, P391, DOI 10.1016/j.geosus.2023.09.004
   Kahlke RM, 2014, INT J QUAL METH, V13, P37, DOI 10.1177/160940691401300119
   Knutson CL, 2011, RENEW AGR FOOD SYST, V26, P255, DOI 10.1017/S174217051100010X
   Konecny O, 2017, GEOGRAFIE-PRAGUE, V122, P257
   Kopp J, 2021, WATER-SUI, V13, DOI 10.3390/w13152098
   Kristofova K, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105949
   Lungu M., 2022, American Journal of Qualitative Research, V6, P232, DOI DOI 10.29333/AJQR/12085
   Masselink L., 2017, Solutions, V8, P54
   Meierova T, 2022, J RURAL STUD, V92, P354, DOI 10.1016/j.jrurstud.2022.04.013
   Ministry of agriculture, 2017, Conception of protection against the drought in the Czech Republic
   Ministry of Environment, 2021, Strategie prizpusobeni se zmene klimatu v podminkach CR 1. aktualizace pro obdobi 2021 - 2030
   Moravcová J, 2017, LANDSC ECOL ENG, V13, P1, DOI 10.1007/s11355-015-0286-y
   Nowak R, 2018, INT J SOC RES METHOD, V21, P425, DOI 10.1080/13645579.2018.1431192
   Pancewicz A, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03581-6
   Pangbourne K, 2015, EUR PLAN STUD, V23, P494, DOI 10.1080/09654313.2013.872231
   Pedroli B, 2016, LANDSCAPE RES, V41, P450, DOI 10.1080/01426397.2016.1156072
   Perlín R, 2010, GEOGRAFIE-PRAGUE, V115, P161
   Podhrázská J, 2015, EUR COUNTRYS, V7, P144, DOI 10.1515/euco-2015-0010
   Ricciardi G, 2023, CITY ENVIRON INTERAC, V17, DOI 10.1016/j.cacint.2022.100097
   Rousi E, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31432-y
   Sánchez-García C, 2022, GEOGR SUSTAIN, V3, P232, DOI 10.1016/j.geosus.2022.08.002
   Scherr S.J., 2012, Agriculture Food Security, V1, P1
   Shames S, 2019, Achieving Climate Change Adaptation through Integrated Landscape Management
   Sklenicka P, 2015, LAND USE POLICY, V47, P253, DOI 10.1016/j.landusepol.2015.04.017
   Sklenicka P, 2014, LAND USE POLICY, V38, P587, DOI 10.1016/j.landusepol.2014.01.006
   Slätmo E, 2019, FENNIA, V197, P25, DOI 10.11143/fennia.63074
   Solin L, 2023, MORAV GEOGR REP, V31, P106, DOI 10.2478/mgr-2023-0010
   Soule MJ, 2000, AM J AGR ECON, V82, P993, DOI 10.1111/0002-9092.00097
   Stromska S., 2021, XXIV. Mezinarodni Kolokvium O Regionalnich Vedach. Masarykova Univerzita, P570
   Suennemann M, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01047-2
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Trnka M, 2020, BIOL PLANTARUM, V64, P865, DOI 10.32615/bp.2021.005
   Trnka M, 2011, CLIMATIC CHANGE, V108, P261, DOI 10.1007/s10584-011-0025-9
   Vaishar A., 2020, Studia Obszarow Wiejskich, V56, P103, DOI [10.7163/SOW.56.4, DOI 10.7163/SOW.56.4]
   Vaishar A, 2019, EUR COUNTRYS, V11, P651, DOI 10.2478/euco-2019-0036
   van Duinen R, 2015, RISK ANAL, V35, P741, DOI 10.1111/risa.12299
   Vávra J, 2019, LAND USE POLICY, V84, P127, DOI 10.1016/j.landusepol.2019.03.005
   WHO, 2022, State of the Climate in Europe 2021, V1304, P52
   Yun, 2023, Focus group
   Zenka J, 2021, MORAV GEOGR REP, V29, P39, DOI 10.2478/mgr-2021-0004
   Zhao J, 2022, EUR J AGRON, V138, DOI 10.1016/j.eja.2022.126516
NR 82
TC 0
Z9 0
U1 10
U2 10
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD OCT
PY 2024
VL 111
AR 103391
DI 10.1016/j.jrurstud.2024.103391
EA AUG 2024
PG 12
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA F1Z1W
UT WOS:001307862200001
DA 2025-01-10
ER

PT J
AU Sun, QQ
   Fan, ZY
   Bai, LJ
AF Sun, Qianqian
   Fan, Zhengyu
   Bai, Lujian
TI Influence of space properties of enclosed patio on thermal performance
   in hot-humid areas of China
SO AIN SHAMS ENGINEERING JOURNAL
LA English
DT Article
DE Indoor and outdoor thermal comfort; Field survey and simulation; Patio
   passive design parameter; Natural ventilation
ID COURTYARD HOUSE FORMS; NATURAL VENTILATION; PASSIVE STRATEGY;
   SOLAR-RADIATION; COMFORT; CLIMATE; BUILDINGS; IMPACT; ENERGY;
   ENVIRONMENTS
AB Patio plays an important role in climate adaptation and microclimate adjustment of buildings. This study aims to explore enclosed patio design guidelines, which are essential for both architectural design methodology and practical projects for providing better thermally comfortable indoor and outdoor spaces. A combined qualitative and quantitative methodological approach was used to clarify how the passive design strategies of the enclosed patio affect the thermal environment of houses around the patio. The findings reveal the spacial characteristics and thermal adjustment of enclosed patios. The results of simulation indicate that appropriate design parameters of enclosed patio can achieve a better indoor and outdoor thermal comfort environment for its users, which includes similar dimension in width and depth, increased number of windows in a high ratio of width to depth, semi-open auxiliary space, 3-4 floor height, upper-lower double windows of four-sided enclosed patio and south opening direction of three-sided enclosed patio.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Sun, Qianqian; Bai, Lujian] Xian Univ Sci & Technol, Coll Architecture & Civil Engn, Xian 710054, Peoples R China.
   [Sun, Qianqian; Fan, Zhengyu] Xian Univ Architecture & Technol, Coll Architecture, Xian 710055, Shaanxi, Peoples R China.
   [Sun, Qianqian; Fan, Zhengyu] State Key Lab Green Bldg Western China, Xian 710055, Peoples R China.
C3 Xi'an University of Science & Technology; Xi'an University of
   Architecture & Technology
RP Sun, QQ (corresponding author), Xian Univ Sci & Technol, Coll Architecture & Civil Engn, Xian 710054, Peoples R China.
EM sunqianqian1024@126.com
RI Sun, Qianqian/KVY-2334-2024; Bai, Lujian/KIJ-6885-2024
FU National Natural Science Foundation of China [51590913]; Social Science
   Foundation of Shaanxi Province [2022J052]; Cultivation Fund for
   Excellent Doctoral Thesis of Xi'an University of Architecture and
   Technology [2021XYBPY008]; Xi'an Social Science Planning Fund Project
   [23TY11]; 2023 Xi'an University of Science and Technology Philosophy and
   Social Sciences Prosperity Project [2023SY01]; 2023 Xi'an University of
   Science and Technology Philosophy and Social Sciences Prosperity
   Project; National Natural Science Foundation of China [51590913]; Social
   Science Foundation of Shaanxi Province [2022J052]; Cultivation Fund for
   Excellent Doctoral Thesis of Xi'an University of Architecture and
   Technology [2021XYBPY008]; Xi'an Social Science Planning Fund Project
   [23TY11]; The 2023 Xi'an University of Science and Technology Philosophy
   and Social Sciences Prosperity Project [2023SY01]
FX This research was supported by the National Natural Science Foundation
   of China (Project No. 51590913) , the Social Science Foundation of
   Shaanxi Province (Project No.2022J052) , the Cultivation Fund for
   Excellent Doctoral Thesis of Xi'an University of Architecture and
   Technology (Project No. 2021XYBPY008) , Xi'an Social Science Planning
   Fund Project (Project No. 23TY11) and 2023 Xi'an University of Science
   and Technology Philosophy and Social Sciences Prosperity Project
   (Project No. 2023SY01) .
CR Abdulkareem HA, 2016, PROCD SOC BEHV, V216, P662, DOI 10.1016/j.sbspro.2015.12.054
   Al-Masri N, 2012, RENEW SUST ENERG REV, V16, P1892, DOI 10.1016/j.rser.2012.01.008
   Cantón MA, 2014, RENEW ENERG, V69, P437, DOI 10.1016/j.renene.2014.03.065
   [Anonymous], 2006, Ergonomics of the Thermal EnvironmentAnalytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria
   [Anonymous], 2018, Annual Energy Outlook 2018 with Projections to 2050
   [Anonymous], 2004, ANSI/ASHRAE Standard 55-2004
   [Anonymous], 2012, GBT507852012
   [Anonymous], 2017, World Air Conditioner Demand by Region
   Berkovic S, 2012, SOL ENERGY, V86, P1173, DOI 10.1016/j.solener.2012.01.010
   Chen QY, 2009, BUILD ENVIRON, V44, P848, DOI 10.1016/j.buildenv.2008.05.025
   Chi FA, 2019, ENERG BUILDINGS, V183, P17, DOI 10.1016/j.enbuild.2018.10.029
   Chinese National Standard, 2012, Design Code for heating, ventilation and air conditioning of civil buildings (GB50736-2012)
   Darvish A, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100861
   de la Flor FJS, 2021, J CLEAN PROD, V320, DOI 10.1016/j.jclepro.2021.128742
   Ding D, 2022, AIN SHAMS ENG J, V13, DOI 10.1016/j.asej.2021.06.011
   Driss S, 2016, ENERG BUILDINGS, V119, P28, DOI 10.1016/j.enbuild.2016.03.016
   Elgheznawy D, 2021, BUILD ENVIRON, V202, DOI 10.1016/j.buildenv.2021.108046
   Elshiwihy SO, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3030085
   Ettouney S. M., 1973, Applied Acoustics, V6, P119, DOI 10.1016/0003-682X(73)90021-2
   Fahmy M, 2018, AIN SHAMS ENG J, V9, P2599, DOI 10.1016/j.asej.2017.08.004
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Fardeheb Fewzi, 1988, Advances In Solar Energy Technology, P3203, DOI [10.1016/C2009-0-06818-4, DOI 10.1016/C2009-0-06818-4]
   Feist W, 2005, ENERG BUILDINGS, V37, P1186, DOI 10.1016/j.enbuild.2005.06.020
   Ghaffarianhoseini A, 2015, BUILD ENVIRON, V87, P154, DOI 10.1016/j.buildenv.2015.02.001
   Gimenez JM, 2018, BUILD SIMUL-CHINA, V11, P1255, DOI 10.1007/s12273-018-0461-9
   Guanghua G, 2016, South Architecture, V1, P60
   Guedouh MS, 2019, ENRGY PROCED, V157, P435, DOI 10.1016/j.egypro.2018.11.208
   Huang ZJ, 2018, 4 ASIA C INT BUILDIN, P238
   Hughes BR, 2010, BUILD ENVIRON, V45, P1025, DOI 10.1016/j.buildenv.2009.10.010
   IEA Online Data Services, About us
   Khan N, 2008, ENERG BUILDINGS, V40, P1586, DOI 10.1016/j.enbuild.2008.02.015
   Lan W, 2017, ENERG BUILDINGS, V151, P228, DOI 10.1016/j.enbuild.2017.06.064
   Li JY, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101253
   Liu D., 1984, History of Ancient Chinese Architecture, V2nd ed., P25
   Liu Su, 1996, Chin. Foreign Architect, P27, DOI [10.19940/j.cnki.1008-0422.1996.06.009, DOI 10.19940/J.CNKI.1008-0422.1996.06.009]
   Martinelli L, 2017, SUSTAIN CITIES SOC, V29, P97, DOI 10.1016/j.scs.2016.12.004
   Michael A, 2017, ENERG BUILDINGS, V144, P333, DOI 10.1016/j.enbuild.2017.03.040
   MOHSEN MA, 1979, BUILD ENVIRON, V14, P89, DOI 10.1016/0360-1323(79)90014-3
   MOHSEN MA, 1979, BUILD ENVIRON, V14, P185, DOI 10.1016/0360-1323(79)90037-4
   Mousa WAY, 2017, BUILD SIMUL-CHINA, V10, P737, DOI 10.1007/s12273-017-0357-0
   OLDHAM DJ, 1979, APPL ACOUST, V12, P215, DOI 10.1016/0003-682X(79)90024-0
   Lopez-Cabeza VP, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103872
   Reynolds John S, 1982, 1 INT PLEA C, DOI [10.1016/C2013-0-06059-8, DOI 10.1016/C2013-0-06059-8]
   Rodríguez-Algeciras J, 2018, RENEW ENERG, V125, P840, DOI 10.1016/j.renene.2018.01.082
   Salameh MM, 2022, AIN SHAMS ENG J, V13, DOI 10.1016/j.asej.2021.07.007
   Soliman SE, 2022, AIN SHAMS ENG J, V13, DOI 10.1016/j.asej.2021.07.002
   Song YH, 2015, BUILD ENVIRON, V89, P295, DOI 10.1016/j.buildenv.2015.02.025
   Sun QQ, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13020371
   Sun QQ, 2022, J ASIAN ARCHIT BUILD, V21, P1381, DOI 10.1080/13467581.2021.1941990
   Tafti FA, 2018, TUNN UNDERGR SP TECH, V78, P124, DOI 10.1016/j.tust.2018.04.023
   Tahri A, 2017, SOL ENERGY, V157, P587, DOI 10.1016/j.solener.2017.08.048
   Taleghani M, 2014, BUILD ENVIRON, V82, P566, DOI 10.1016/j.buildenv.2014.09.028
   Taleghani M, 2014, RENEW ENERG, V63, P486, DOI 10.1016/j.renene.2013.09.028
   Terrados FJ, 2014, ENERG BUILDINGS, V83, P70, DOI 10.1016/j.enbuild.2014.03.081
   Yamamoto T, 2019, ENERGIES, V12, DOI 10.3390/en12132560
   Yili Z, 2021, Housing Science, V41, P9
   Yousef SES, 2021, AIN SHAMS ENG J, V12, P1089, DOI 10.1016/j.asej.2020.05.015
NR 57
TC 1
Z9 1
U1 6
U2 18
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2090-4479
EI 2090-4495
J9 AIN SHAMS ENG J
JI Ain Shams Eng. J.
PD FEB
PY 2024
VL 15
IS 2
AR 102370
DI 10.1016/j.asej.2023.102370
EA DEC 2023
PG 22
WC Engineering, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA EK9S0
UT WOS:001138943500001
OA gold
DA 2025-01-10
ER

PT J
AU Wadsworth, G
   Riden, HE
   Pinkerton, KE
AF Wadsworth, Gail
   Riden, Heather E.
   Pinkerton, Kent E.
TI Farmer perceptions of climate, adaptation, and management of farmworker
   risk in California
SO JOURNAL OF AGRICULTURE FOOD SYSTEMS AND COMMUNITY DEVELOPMENT
LA English
DT Article
DE Agriculture; Climate Change; Farmworker Health; Extreme Weather
AB Adaptation across systems' in agriculture is essential for sustainability under ongoing climate change. Farmers and agricultural employers implement changes in their work (e.g., mechanization, changing crops, managing workspaces) in ways that may directly impact worker health. In this study, semi-structured interviews were conducted with farmers and farm labor contractors in three agriculturally productive regions of California. We investigated (1) how farmers view changing climate in terms of worker safety and health; (2) how they are currently adapting to long-term weather patterns; (3) how their choices of management practices might impact their workers; (4) how they view their responsibility for their workers; and (5) what their overall observations are concerning environmental changes. Many employers made a clear distinction between weather and climate but not all agreed on whether they were experiencing climate change. Heat was notably the biggest climate hazard farmers identified. Most of the employers interviewed were proud of their longevity and ability to adapt to changing conditions in the field; however, they did not have established emergency procedures. Despite regulations that put the onus on employers, most participants believed that workers needed to take individual responsibility to keep themselves safe in the workplace. This research is one step in an ongoing research process designed to address the impacts of health and safety for agricultural workers in the context of climate change.
C1 [Wadsworth, Gail] Calif Inst Rural Studies, Santa Cruz, CA 95063 USA.
   [Riden, Heather E.] Univ Calif Davis, Agr Hlth & Safety, Western Ctr Agr Hlth & Safety, Davis, CA 95616 USA.
   [Pinkerton, Kent E.] Univ Calif Davis, Western Ctr Agr Hlth & Safety, Davis, CA 95616 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis
RP Wadsworth, G (corresponding author), Calif Inst Rural Studies, Santa Cruz, CA 95063 USA.
EM gwadsworth.cirs@gmail.com; heriden@ucdavies.edu; kepinkerton@ucdavis.edu
FU Centers for Disease Control and Prevention, National Institute for
   Occupational Safety and Health (CDC-NIOSH) [U54 OH010969, UO1 OH007550];
   Western Center for Agricultural Health and Safety [U54 OH007550];
   Agriculture and Climate Change Impacts on Workers' Health and Safety
   [NIOSH U01 OH010969]
FX This project was supported by grants from the Centers for Disease
   Control and Prevention, National Institute for Occupational Safety and
   Health (CDC-NIOSH) Cooperative Agreement number U54 OH010969 and grant
   number UO1 OH007550; Agriculture and Climate Change Impacts on Workers'
   Health and Safety grant number NIOSH U01 OH010969; and The Western
   Center for Agricultural Health and Safety, grant number U54 OH007550.
CR Altheide DavidL., 1987, QUAL SOCIOL, V10, P65, DOI [10.1007/BF00988269, DOI 10.1007/BF00988269]
   American Public Health Association [APHA], 2011, END AGR EXC STRENGTH
   Boxall ABA, 2009, ENVIRON HEALTH PERSP, V117, P508, DOI 10.1289/ehp.0800084
   Budhathoki NK, 2020, NAT HAZARDS, V103, P3213, DOI 10.1007/s11069-020-04127-0
   California Department of Industrial Relations, 2020, PROT YOUR BUS PREV P
   California Employment Development Department, 2018, UN RAT LAB FORC
   CDFA, 2019, AGR STAT REV
   Centers for Disease Control and Prevention National Institute for Occupational Health and Safety., 2020, AGR SAF
   Courville MD, 2015, J AGRIC FOOD SYST CO, V6, P143, DOI 10.5304/jafscd.2016.062.014
   Franco G., 2018, PUBLICATION SCRIPPS
   Garcia M, 2013, INT LABOR WORK-CLASS, V83, P146, DOI 10.1017/S0147547913000021
   Getz C, 2008, POLIT SOC, V36, P478, DOI 10.1177/0032329208324709
   Hay J, 2007, MANAGING WEATHER AND CLIMATE RISKS IN AGRICULTURE, P1, DOI 10.1007/978-3-540-72746-0_1
   Holdier A. G, 2019, PRINDLE POST 0709
   Hunt ML, 2019, J AGROMEDICINE, V24, P9, DOI 10.1080/1059924X.2018.1536571
   Irfan A., New country, same oppression: It's time to bolster farmworkers' rights
   Kiefer M, 2016, REV PANAM SALUD PUBL, V40, P192
   Levy Barry S, 2019, OXFORD RES ENCY GLOB, DOI [10.1093/acrefore/9780190632366.013.39, DOI 10.1093/ACREFORE/9780190632366.013.39]
   Liu TT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020432
   Luna GuadalupeT., 1998, PA J LABOR EMPLOYMEN, V1, P487
   Maguire M, 2001, INT J HUM-COMPUT ST, V55, P587, DOI 10.1006/ijhc.2001.0503
   Martin P, 2020, ALTERNATIVES HAND LA
   Martin P, 2019, CALIF AGR, V73, P73, DOI 10.3733/ca.2019a0002
   MARTIN PL, 1985, SCIENCE, V227, P601, DOI 10.1126/science.227.4687.601
   Mishra G. R., 2017, INT J AGR SCI RES IJ, V7, P67
   Mitchell D., 2019, CALIFORNIA HEAT ILLN
   Morgan D L, 1993, Qual Health Res, V3, P112, DOI 10.1177/104973239300300107
   Neergaard MA, 2009, BMC MED RES METHODOL, V9, DOI 10.1186/1471-2288-9-52
   Nelson D. J, 2017, PROTECTING CALIFORNI
   Puglia D., 2020, CAL MATTERS
   Ramos AK, 2016, SAFETY, V2, DOI 10.3390/safety2040023
   Riden HE, 2020, J AGROMEDICINE, V25, P330, DOI 10.1080/1059924X.2020.1725699
   Rodman S. O., 2016, THESIS J HOPKINS U
   Sandelowski M, 2000, RES NURS HEALTH, V23, P334, DOI 10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
   Sandelowski M, 2010, RES NURS HEALTH, V33, P77, DOI 10.1002/nur.20362
   SUN M, 1984, SCIENCE, V223, P1368, DOI 10.1126/science.223.4643.1368
   Tippett MK, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0057-1
   U.S. Department of Agriculture National Agricultural Statistics Service [USDA NASS]., 2019, US CENSUS AGR
   U.S. Department of Labor Occupational Safety and Health Administration., EMPL RESP
   University of California Berkeley Labor Occupational Health Program, 2013, CAL HEAT ILLN PREV C
   Wadsworth G., 2018, LABOR STUDIES J, V44, P214, DOI 10.1177%2F0160449X18767749
   Yorose W., 2021, J PLANNING LAND MANA, V2, P21
NR 42
TC 3
Z9 4
U1 4
U2 19
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 WIN
PY 2022
VL 11
IS 2
DI 10.5304/jafscd.2022.112.015
PG 20
WC Agricultural Economics & Policy; Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Development Studies
GA ZX2ZR
UT WOS:000771768600001
OA gold
DA 2025-01-10
ER

PT J
AU Sherren, K
   Sutton, K
   Chappell, E
AF Sherren, Kate
   Sutton, Krysta
   Chappell, Ellen
TI Climax thinking on the coast: a focus group priming experiment with
   coastal property owners about climate adaptation
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Coastal adaptation; Environmental communication;
   Experimental treatment; Framing; Nature-based solutions
ID NOVA-SCOTIA; RISK; RETREAT; FUTURE; PLACE; INFRASTRUCTURE; PERCEPTIONS;
   MANAGEMENT; RESISTANCE; LANDSCAPE
AB Coastal communities face increasingly difficult decisions about responses to climate change. Armoring and defending the coast are being revealed as ineffective in terms of outcomes and cost, particularly in rural areas. Nature-based options include approaches that make space for coastal dynamism (e.g., through managed retreat) or leverage ecosystem services such as erosion control (e.g., by restoring coastal wetlands). Resistance can be strong to these alternatives to hard infrastructure. Nova Scotia, off Canada's Atlantic coast, is a vulnerable coastal jurisdiction facing such decisions. The emerging climax thinking framework was used to design 14 experimental online focus groups. These focus groups explored how three priming treatments influenced discussions about adaptation options and urgency and quantitative pre/post-tests, compared with information-only control treatments. A future-focused priming strategy seemed most effective since it fostered discussions about duties to future generations. The altruism-focused priming strategy involved reflections of wartime mobilization and more recent collective action. It also worked but was more difficult to implement and potentially higher risk. Past-focused priming was counterproductive. Further research should test the future-focused and altruism-focused strategies among larger groups and in different jurisdictions, reducing some of the biases in our sample.
C1 [Sherren, Kate; Sutton, Krysta; Chappell, Ellen] Dalhousie Univ, Sch Resource & Environm Studies, Halifax, NS, Canada.
C3 Dalhousie University
RP Sherren, K (corresponding author), Dalhousie Univ, Sch Resource & Environm Studies, Halifax, NS, Canada.
EM kate.sherren@dal.ca
OI Chappell, Ellen/0009-0002-5014-6801; Sherren, Kate/0000-0003-1576-9878
FU Climate Change Adaptation Fund of Natural Resources Canada (2018-2020);
   Ocean Frontiers Institute, Dalhousie University
FX This work was completed with support from the Climate Change Adaptation
   Fund of Natural Resources Canada (2018-2020, van Proosdij, PI, KSherren,
   CI), as part of the Making Room for Movement project, and a Seed Fund
   grant to KSutton from the Ocean Frontiers Institute, Dalhousie
   University.
CR [Anonymous], 2012, IMAGINING LANDSCAPES
   Badullovich N, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba4c7
   Beaulieu N, 2016, CLIM DEV, V8, P447, DOI 10.1080/17565529.2015.1064807
   Bogdan EA, 2022, INT J RIVER BASIN MA, V20, P153, DOI 10.1080/15715124.2020.1723604
   Briske DD, 2020, J APPL ECOL, V57, P1056, DOI 10.1111/1365-2664.13610
   Brown G, 2020, APPL GEOGR, V116, DOI 10.1016/j.apgeog.2020.102156
   Brown K, 2019, GLOBAL ENVIRON CHANG, V56, P11, DOI 10.1016/j.gloenvcha.2019.03.003
   Buma B, 2020, J APPL ECOL, V57, P1113, DOI 10.1111/1365-2664.13606
   Chappell EN, 2020, LANDSCAPE URBAN PLAN, V199, DOI 10.1016/j.landurbplan.2020.103802
   Chen Y, 2020, OCEAN COAST MANAGE, V193, DOI 10.1016/j.ocecoaman.2020.105254
   Chong D., 2012, The SAGE Handbook of Political Communication, P307
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Danielson, 2019, RESPONDING RISING SE, P111
   Dasandi N., 2021, SOCARXIV
   Davydova J, 2018, CLIMATIC CHANGE, V148, P45, DOI 10.1007/s10584-018-2181-7
   Doberstein B, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109753
   Dornelles AZ, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.15
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Goeldner-Gianella L, 2007, J COASTAL RES, V23, P1218, DOI 10.2112/04-0416R.1
   Gray JDE, 2017, OCEAN COAST MANAGE, V146, P144, DOI 10.1016/j.ocecoaman.2017.07.005
   Hair J. F., 2010, Multivariate data analysis
   Haney TJ, 2019, J CONTING CRISIS MAN, V27, P224, DOI 10.1111/1468-5973.12253
   Hanley N, 2009, J ENVIRON MANAGE, V90, P1404, DOI 10.1016/j.jenvman.2008.08.008
   He Q, 2019, CURR BIOL, V29, pR1021, DOI 10.1016/j.cub.2019.08.042
   Henstra D, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12346
   Hickel J, 2020, LANCET PLANET HEALTH, V4, pE399, DOI 10.1016/S2542-5196(20)30196-0
   Hurlstone MJ, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102008
   Kahneman D., 2011, Thinking, fast and slow
   Kester J, 2017, ENERG POLICY, V104, P50, DOI 10.1016/j.enpol.2017.01.026
   Krznaric Roman., 2020, The Good Ancestor: How to Think Long Term in a Short Term World
   Loo T, 2019, BRENDA DAVID MCLEAN, P1
   LOWENTHAL D, 1975, GEOGR REV, V65, P1, DOI 10.2307/213831
   Lutzke L, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101964
   Mach KJ, 2021, SCIENCE, V372, P1294, DOI 10.1126/science.abh1894
   Mallette A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158594
   Manuel P, 2015, CAN GEOGR-GEOGR CAN, V59, P433, DOI 10.1111/cag.12203
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Milligan J, 2007, COAST MANAGE, V35, P499, DOI 10.1080/08920750701525800
   Morrison A, 2018, CAN WATER RESOUR J, V43, P33, DOI 10.1080/07011784.2018.1428501
   Morton TA, 2011, GLOBAL ENVIRON CHANG, V21, P103, DOI 10.1016/j.gloenvcha.2010.09.013
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Neuvel JMM, 2010, INT J WATER RESOUR D, V26, P283, DOI 10.1080/07900621003655668
   Ollerhead J, 2020, J COASTAL RES, P255, DOI 10.2112/JCR-SI101-047.1
   Ortiz-Riomalo JF, 2021, J ENVIRON ECON MANAG, V110, DOI 10.1016/j.jeem.2021.102513
   Palko K., 2017, Climate Risks and Adaptation Practices for the Canadian Transportation Sector 2016
   Patterson J, 2021, NAT SUSTAIN, V4, P841, DOI 10.1038/s41893-021-00749-9
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Plieninger T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07443-200205
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Savard J-P, 2016, CANADAS MARINE COAST
   Sayre N.F., 2017, The Politics of Scale: A History of Rangeland Science, DOI [10.7208/chicago/9780226083391.001.0001, DOI 10.7208/CHICAGO/9780226083391.001.0001]
   Schuldt JP, 2017, CLIMATIC CHANGE, V141, P167, DOI 10.1007/s10584-016-1893-9
   Schuldt JP, 2014, SOC COGNITION, V32, P217, DOI 10.1521/soco.2014.32.3.217
   Scyphers SB, 2015, CONSERV LETT, V8, P41, DOI 10.1111/conl.12114
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sherren K., 2019, OECD Country Approaches to Tackling Coastal Risks, P111
   Sherren K, 2021, SOC NAT RESOUR BOOK, P17
   Sherren K, 2016, LAND USE POLICY, V51, P267, DOI 10.1016/j.landusepol.2015.11.018
   Siders AR, 2020, OCEAN COAST MANAGE, V183, DOI 10.1016/j.ocecoaman.2019.105023
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Smith CS, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00434
   Smith CS, 2017, MAR POLICY, V81, P350, DOI 10.1016/j.marpol.2017.04.013
   Solnit R., 2010, A Paradise Built in Hell: The Extraordinary Communities That Arise in Disaster
   Stafford SL, 2020, COAST MANAGE, V48, P559, DOI 10.1080/08920753.2020.1823667
   Statistics Canada,, 2011, TABLE 32 10 0197 01, DOI [10.25318/3210019701-eng, DOI 10.25318/3210019701-ENG]
   Stedman RC, 2016, SUSTAIN SCI, V11, P891, DOI 10.1007/s11625-016-0388-y
   Stern M.J., 2020, CLIMATE ADAPTATION W
   Stewart DW, 2017, J ADVERTISING, V46, P48, DOI 10.1080/00913367.2016.1252288
   Stokowski PA, 2002, J LEISURE RES, V34, P368, DOI 10.1080/00222216.2002.11949977
   Sutton K, 2020, THESIS DALHOUSIE U H
   The Long Time Project,, 2020, LONG TIM TOOLS TOOLS
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   van Proosdij D., 2021, MAKING ROOM MOVEMENT
   Vasseur L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081293
   Walker C, 2019, INT J QUAL METH, V18, DOI 10.1177/1609406919834379
   Woodhall-Melnik J, 2023, HOUSING STUD, V38, P747, DOI 10.1080/02673037.2021.1900794
   Yamashita, 2014, BASIC CLIN ENV APPRO, P113
   Zaval L, 2015, PSYCHOL SCI, V26, P231, DOI 10.1177/0956797614561266
NR 81
TC 4
Z9 5
U1 5
U2 21
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 SEP
PY 2022
VL 70
IS 3
BP 475
EP 488
DI 10.1007/s00267-022-01676-x
EA JUN 2022
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 3U8WH
UT WOS:000819292900001
PM 35773431
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Oppenheim, NG
   Wahle, RA
   Brady, D
   Goode, AG
   Pershing, AJ
AF Oppenheim, Noah G.
   Wahle, Richard A.
   Brady, Damian
   Goode, Andrew G.
   Pershing, Andrew J.
TI The cresting wave: larval settlement and ocean temperatures predict
   change in the American lobster harvest
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE climate adaptation; crustacean; environmental gradients; fisheries;
   forecasting; Gulf of Maine; Homarus americanus; lobster; recruitment
   processes; regional downscaling
ID STOCK ASSESSMENT; RECRUITMENT; GEOGRAPHY; IMPACTS; CATCH; FACE
AB Adding to the challenge of predicting fishery recruitment in a changing environment is downscaling predictions to capture locally divergent trends over a species' range. In recent decades, the American lobster (Homarus americanus) fishery has shifted poleward along the northwest Atlantic coast, one of the most rapidly warming regions of the world's oceans. Building on evidence that early post-settlement life stages predict future fishery recruitment, we describe enhancements to a forecasting model that predict landings using an annual larval settlement index from 62 fixed sites among 10 study areas from Rhode Island, USA to New Brunswick, Canada. The model is novel because it incorporates local bottom temperature and disease prevalence to scale spatial and temporal changes in growth and mortality. For nine of these areas, adding environmental predictors significantly improved model performance, capturing a landings surge in the eastern Gulf of Maine, and collapse in southern New England. On the strength of these analyses, we project landings within the next decade to decline to near historical levels in the Gulf of Maine and no recovery in the south. This approach is timely as downscaled ocean temperature projections enable decision makers to assess their options under future climate scenarios at finer spatial scales.
C1 [Oppenheim, Noah G.; Wahle, Richard A.; Brady, Damian; Goode, Andrew G.] Univ Maine, Darling Marine Ctr, Sch Marine Sci, Walpole, ME 04573 USA.
   [Oppenheim, Noah G.] Inst Fisheries Resources, 991 Marine Dr, San Francisco, CA 94129 USA.
   [Pershing, Andrew J.] Gulf Maine Res Inst, Commercial St, Portland, ME 04101 USA.
C3 University of Maine System; University of Maine Orono; Gulf of Maine
   Research Institute
RP Wahle, RA (corresponding author), Univ Maine, Darling Marine Ctr, Sch Marine Sci, Walpole, ME 04573 USA.
EM richard.wahle@maine.edu
RI Wahle, Richard/AAI-3047-2020
OI Oppenheim, Noah/0000-0002-5685-0560; Pershing,
   Andrew/0000-0003-4432-0850; Goode, Andrew/0000-0001-9801-3501; Wahle,
   Richard/0000-0002-9086-5862; Brady, Damian/0000-0001-9640-2968
FU NSF Coastal SEES [OCE1325484]; NSF [CBET1360415, 11A-1355457]
FX The authors acknowledge NSF Coastal SEES OCE1325484, NSF CBET1360415 and
   #11A-1355457, NOAA-FATE, Rhode Island Department of Environmental
   Management, Massachusetts Division of Marine Fisheries, Maine Department
   of Marine Resources, DFO Canada, and the Atlantic Coastal Cooperative
   Statistics Program. The manuscript benefitted from helpful discussion
   and editing by M. Baskett, Y. Chen, C. Guenther, L. Jacobson, B. Shank,
   R. Steneck, and two anonymous reviewers.
CR Annis ER, 2013, CAN J FISH AQUAT SCI, V70, P1641, DOI 10.1139/cjfas-2013-0060
   [Anonymous], 2016, Climate Change Implications for Fisheries and Aquaculture. Summary of the findings of the Intergovernmental Panel on Climate Change Fifth Assessment Report
   Atlantic States Marine Fisheries Commission, 2015, NA10NMF4740016 ASMFC, VNA10NMF4740016
   Boudreau SA, 2015, J ANIM ECOL, V84, P840, DOI 10.1111/1365-2656.12322
   BURNHAM K.P., 2002, Model Selection and Multimodel Inference, A Practical Information-Theoretic Approach, P352
   CAPUTI N, 1995, CRUSTACEANA, V68, P245, DOI 10.1163/156854095X01402
   Caputi N, 2014, REV FISH SCI AQUAC, V22, P36, DOI 10.1080/10641262.2013.832144
   Carloni JT, 2018, B MAR SCI, V94, P719, DOI 10.5343/bms.2017.1150
   Fogarty M, 2008, MITIG ADAPT STRAT GL, V13, P453, DOI 10.1007/s11027-007-9131-4
   Goode AG, 2019, GLOBAL CHANGE BIOL, V25, P3906, DOI 10.1111/gcb.14778
   INCZE LS, 1991, MAR ECOL PROG SER, V79, P77, DOI 10.3354/meps079077
   Le Bris A, 2018, P NATL ACAD SCI USA, V115, P1831, DOI 10.1073/pnas.1711122115
   Li B, 2017, J MARINE SYST, V173, P21, DOI 10.1016/j.jmarsys.2017.04.001
   Longhurst A, 2006, ECOLOGICAL GEOGRAPHY
   McClatchie S, 2010, CAN J FISH AQUAT SCI, V67, P1782, DOI 10.1139/F10-101
   Mills KE, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00337
   Myers RA, 1998, REV FISH BIOL FISHER, V8, P285, DOI 10.1023/A:1008828730759
   National Oceanographic and Atmospheric Administration (NOAA),, 2017, FISH US
   Newman KB, 2006, ECOL APPL, V16, P74, DOI 10.1890/04-0592
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   Patterson K, 2001, FISH FISH, V2, P125, DOI 10.1046/j.1467-2960.2001.00042.x
   Payne MR, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00289
   Pearce J, 2005, J SHELLFISH RES, V24, P691
   Perretti CT, 2017, MAR ECOL PROG SER, V574, P1, DOI 10.3354/meps12183
   Pershing AJ, 2015, SCIENCE, V350, P809, DOI 10.1126/science.aac9819
   Pineda J., 2000, Oceanography of the Eastern Pacific, V1, P84
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Rheuban JE, 2017, J GEOPHYS RES-OCEANS, V122, P9387, DOI 10.1002/2017JC012949
   Schindler DE, 2015, SCIENCE, V347, P953, DOI 10.1126/science.1261824
   Steneck RS, 2011, CONSERV BIOL, V25, P904, DOI 10.1111/j.1523-1739.2011.01717.x
   Wahle RA, 2003, FISH RES, V65, P3, DOI 10.1016/j.fishres.2003.09.004
   Wahle RA, 2004, B MAR SCI, V74, P101
   Wahle Richard, 2006, P1, DOI 10.1002/9780470995969.ch1
   Wahle RA, 2015, ICES J MAR SCI, V72, P69, DOI 10.1093/icesjms/fsv093
   Wahle RA, 2013, B MAR SCI, V89, P189, DOI 10.5343/bms.2011.1131
   Wahle RA, 2013, MAR BIOL RES, V9, P42, DOI 10.1080/17451000.2012.727428
   Wahle RA, 2009, MAR ECOL PROG SER, V376, P185, DOI 10.3354/meps07803
NR 37
TC 35
Z9 44
U1 0
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1051-0761
EI 1939-5582
J9 ECOL APPL
JI Ecol. Appl.
PD DEC
PY 2019
VL 29
IS 8
DI 10.1002/eap.2006
EA OCT 2019
PG 10
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA JT8FR
UT WOS:000491843700001
PM 31541510
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Wood, SA
   Jina, AS
   Jain, M
   Kristjanson, P
   DeFries, RS
AF Wood, Stephen A.
   Jina, Amir S.
   Jain, Meha
   Kristjanson, Patti
   DeFries, Ruth S.
TI Smallholder farmer cropping decisions related to climate variability
   across multiple regions
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Agriculture; Adaptive capacity; Adaptation
ID ADAPTIVE CAPACITY; ADAPTATION; IMPACT; AGRICULTURE; KNOWLEDGE; SAHEL
AB A long history of household-level research has provided important local-level insights into climate adaptation strategies in the agricultural sector. It remains unclear to what extent these strategies are generalizable or vary across regions. In this study we ask about three potential key factors influencing farming households' ability to adapt: access to weather information, household and agricultural production-related assets, and participation in local social institutions. We use a 12-country data set from sub-Saharan Africa and South Asia to explore the links between these three potential drivers of agricultural change and the likelihood that farmers made farm-associated changes, such as adopting improved crop varieties, increasing fertilizer use, investing in improved land management practices, and changing the timing of agricultural activities. We find evidence that access to weather information, assets, and participation in social institutions are associated with households that have reported making farming changes in recent years, although these results vary across countries and types of practices. Understanding these drivers and outcomes of farm-associated changes across different socio-economic and environmental conditions is critical for ongoing dialogues for climate-resilient strategies and policies for increasing the adaptive capacity of smallholders under climate change. (C) 2014 The Authors. Published by Elsevier Ltd. All rights reserved.
C1 [Wood, Stephen A.; Jain, Meha; DeFries, Ruth S.] Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10027 USA.
   [Wood, Stephen A.] Columbia Univ, Earth Inst, Agr & Food Secur Ctr, Palisades, NY 10964 USA.
   [Jina, Amir S.] Columbia Univ, Sch Int & Publ Affairs, New York, NY 10025 USA.
   [Kristjanson, Patti] World Agroforestry Ctr, Climate Change Agr & Food Secur Program, Nairobi 00100, Kenya.
C3 Columbia University; Columbia University; Columbia University; CGIAR;
   World Agroforestry (ICRAF)
RP Wood, SA (corresponding author), 1200 Amsterdam Ave, New York, NY 10027 USA.
EM saw2177@columbia.edu; asj2122@columbia.edu; mj2415@columbia.edu;
   P.Kristjanson@cgiar.org; rd2402@columbia.edu
RI DeFries, Ruth/AFJ-8022-2022; Wood, Stephen/A-1928-2017
OI Wood, Stephen/0000-0002-9551-8165; Kristjanson,
   Patti/0000-0001-6059-4187
FU European Union (EU); Division Of Behavioral and Cognitive Sci; Direct
   For Social, Behav & Economic Scie [0823003] Funding Source: National
   Science Foundation
FX This research is carried out with funding by the European Union (EU) and
   with technical support from the International Fund for Agricultural
   Development (IFAD).
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A., 2008, NEW FRONT SOC POLICY, P734
   [Anonymous], 2011, 5622 WORLD BANK
   [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   [Anonymous], 201008 DIIS
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 19578 NBER
   [Anonymous], ARE FOOD INSECURE SM
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bodin O, 2006, ECOL SOC, V11
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Ericksen P, 2011, 5 CCAFS CGIAR
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Fishman Ram., 2013, Groundwater Depletion, Adaptation and Migration: Evidence from Gujarat, India
   Forch W., 2011, INITIAL SITES CCAFS
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Funk CC, 2009, FOOD SECUR, V1, P271, DOI 10.1007/s12571-009-0026-y
   Giannini A, 2008, GLOBAL PLANET CHANGE, V64, P119, DOI 10.1016/j.gloplacha.2008.05.004
   Gourdji SM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2190
   Guiteras R., 2009, IMPACT CLIMATE CHANG
   Isaac ME, 2012, AGR SYST, V109, P9, DOI 10.1016/j.agsy.2012.01.011
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Kristjanson P, 2009, P NATL ACAD SCI USA, V106, P5047, DOI 10.1073/pnas.0807414106
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   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]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Meinzen-Dick R.A., 2002, Innovation in natural resource management: The role of property rights and collective action in developing countries
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Newman L, 2005, ECOL SOC, V10, DOI 10.5751/ES-01396-1001r02
   Ostrom E., 2003, Foundation of Social Capital
   Panda A, 2013, GLOBAL ENVIRON CHANG, V23, P782, DOI 10.1016/j.gloenvcha.2013.03.002
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   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]
   Reilly J, 2000, CLIMATIC CHANGE, V45, P253, DOI 10.1023/A:1005669807945
   Rosenzweig Mark, 2013, 19334 NBER
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Seo SN, 2008, CHIL J AGR RES, V68, P69, DOI 10.4067/S0718-58392008000100007
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Zeng N, 1999, SCIENCE, V286, P1537, DOI 10.1126/science.286.5444.1537
   Ziervogel G, 2010, WIRES CLIM CHANGE, V1, P525, DOI 10.1002/wcc.56
NR 49
TC 185
Z9 199
U1 0
U2 121
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAR
PY 2014
VL 25
BP 163
EP 172
DI 10.1016/j.gloenvcha.2013.12.011
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 AG7ZI
UT WOS:000335636900016
OA hybrid
DA 2025-01-10
ER

PT J
AU Scott, CA
AF Scott, Christopher A.
TI Electricity for groundwater use: constraints and opportunities for
   adaptive response to climate change
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change; adaptation; policy; groundwater; water-energy nexus;
   virtual water; Mexico
ID WATER SECURITY; ENERGY-POLICY; NEXUS
AB Globally, groundwater use is intensifying to meet demands for irrigation, urban supply, industrialization, and, in some instances, electrical power generation. In response to hydroclimatic variability, surface water is being substituted with groundwater, which must be viewed as a strategic resource for climate adaptation. In this sense, the supply of electricity for pumping is an adaptation policy tool. Additionally, planning for climate-change mitigation must consider CO2 emissions resulting from pumping. This paper examines the influence of electricity supply and pricing on groundwater irrigation and resulting emissions, with specific reference to Mexico-a climate-water-energy 'perfect storm'. Night-time power supply at tariffs below the already-subsidized rates for agricultural groundwater use has caused Mexican farmers to increase pumping, reversing important water and electricity conservation gains achieved. Indiscriminate groundwater pumping, including for virtual water exports of agricultural produce, threatens the long-term sustainability of aquifers, non-agricultural water uses, and stream-aquifer interactions that sustain riparian ecosystems. Emissions resulting from agricultural groundwater pumping in Mexico are estimated to be 3.6% of total national emissions and are equivalent to emissions from transporting the same agricultural produce to market. The paper concludes with an assessment of energy, water, and climate trends coupled with policy futures to address these challenges.
C1 [Scott, Christopher A.] Univ Arizona, Sch Geog & Dev, Tucson, AZ 85719 USA.
   [Scott, Christopher A.] Univ Arizona, Udall Ctr Studies Publ Policy, Tucson, AZ 85719 USA.
C3 University of Arizona; University of Arizona
RP Scott, CA (corresponding author), Univ Arizona, Sch Geog & Dev, 803 East 1st St, Tucson, AZ 85719 USA.
EM cascott@email.arizona.edu
FU Inter-American Institute for Global Change Research [005]; National
   Science Foundation, NSF [GEO-1138881]; NSF [DEB-1010495, EFRI-0835930];
   Direct For Biological Sciences; Division Of Environmental Biology
   [1010495] Funding Source: National Science Foundation; Directorate For
   Geosciences [1138881] Funding Source: National Science Foundation;
   Directorate For Geosciences; ICER [1128040] Funding Source: National
   Science Foundation
FX Partial funding support for this research was provided by the
   Inter-American Institute for Global Change Research (project SGP-CRA
   #005, supported by the National Science Foundation, NSF Grant No.
   GEO-1138881) and by NSF Grant Nos. DEB-1010495 and EFRI-0835930. Thanks
   to America Lutz for support with data acquisition.
CR Aeschbach-Hertig W, 2012, NAT GEOSCI, V5, P853, DOI [10.1038/ngeo1617, 10.1038/NGEO1617]
   [Anonymous], 2009, GLOBAL REGIONAL NATL, DOI 10.3334/CDIAC/00001
   [Anonymous], 2007, US GEOLOGICAL SURVEY
   Barlow P M, 2012, STREAMFLOW DEPLETION, V1376, P84
   Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039
   Bovolo CI, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035001
   Brito- Castillo L., 2012, GREENHOUSE GASES EMI, V387- 412, P504
   Burkett VR, 2005, ECOL COMPLEX, V2, P357, DOI 10.1016/j.ecocom.2005.04.010
   CFE (Comision Federal de Electricidad), 2013, EST VENT
   CONAGUA, 2011, EST AG MEX, P181
   CONAGUA (Comision Nacional del Agua), 2013, REG PUBL DER AG
   Diffenbaugh NS, 2012, CLIMATIC CHANGE, V114, P813, DOI 10.1007/s10584-012-0570-x
   Döll P, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035006
   Gochis DJ, 2006, J HYDROL, V316, P53, DOI 10.1016/j.jhydrol.2005.04.021
   Gutiérrez-Ruacho OG, 2010, CLIM RES, V42, P133, DOI 10.3354/cr00874
   Hightower M, 2008, NATURE, V452, P285, DOI 10.1038/452285a
   INE (Instituto Nacional de Ecologia), 2013, CAMB CLIM MEX INF ES
   King CW, 2008, NAT GEOSCI, V1, P283, DOI 10.1038/ngeo195
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Konar M, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR011959
   Landa R., 2012, AGUA CLIMA ELEMENTOS, P129
   Loáiciga HA, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035004
   Méndez M, 2010, J CLIMATE, V23, P1175, DOI 10.1175/2009JCLI3080.1
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Moreno Vazquez J L, 2006, DEBAJO AGUA
   Munoz C., 2006, INEDGIPEA0306, P48
   Roy SB, 2012, ENVIRON SCI TECHNOL, V46, P2545, DOI 10.1021/es2030774
   Santoyo-Castelazo E, 2011, ENERGY, V36, P1488, DOI 10.1016/j.energy.2011.01.018
   Scott CA, 2004, INT J WATER RESOUR D, V20, P149, DOI 10.1080/0790062042000206156
   Scott CA, 2013, ANN ASSOC AM GEOGR, V103, P280, DOI 10.1080/00045608.2013.754660
   Scott CA, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010805
   Scott CA, 2011, ENERG POLICY, V39, P6622, DOI 10.1016/j.enpol.2011.08.013
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Sheinbaum-Pardo C, 2012, ENERG POLICY, V46, P278, DOI 10.1016/j.enpol.2012.03.060
   Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023
   Siebert S, 2010, HYDROL EARTH SYST SC, V14, P1863, DOI 10.5194/hess-14-1863-2010
   Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426
   Srinivasan V, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011087
   Treidel H., 2012, CLIMATE CHANGE EFFEC, P401
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Wescoat J., 2013, COMMUNICATION
   Wester P., 2008, SHEDDING WATERS INST
NR 42
TC 25
Z9 36
U1 1
U2 41
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JUL-SEP
PY 2013
VL 8
IS 3
AR 035005
DI 10.1088/1748-9326/8/3/035005
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 229FL
UT WOS:000325247100050
OA gold
DA 2025-01-10
ER

PT J
AU Murata, Y
   Ideo, S
   Watada, M
   Mitsui, H
   Kimura, MT
AF Murata, Yusuke
   Ideo, Shinsuke
   Watada, Masayoshi
   Mitsui, Hideyuki
   Kimura, Masahito T.
TI Genetic and physiological variation among sexual and parthenogenetic
   populations of <i>Asobara japonica</i> (Hymenoptera: Braconidae), a
   larval parasitoid of drosophilid flies
SO EUROPEAN JOURNAL OF ENTOMOLOGY
LA English
DT Article
DE Asobara japonica; climatic adaptation; COI; cold tolerance; diapause;
   Drosophila; oviposition preference; parasitism; preimaginal period;
   genetic variation
ID ROOT-KNOT NEMATODES; GEOGRAPHIC-VARIATION; ADAPTIVE EVOLUTION; RYUKYU
   ARCHIPELAGO; DISTRIBUTIONS; MELANOGASTER; VARIABILITY; ADAPTATIONS;
   TOLERANCE; DIAPAUSE
AB We studied variations in genetic, physiological, and ecological traits, and the phylogenetic relationship among sexual and parthenogenetic populations of Asobara japonica, a larval parasitoid of drosophilid flies, in order to understand how they adapt to local environments and have differentiated. The strain from Iriomote-jima (IR) differed from other Japanese strains in the nucleotide sequences of its cytochrome oxidase Subunit I (COI) and in not undergoing diapause and having a shorter preimaginal period and a higher adult tolerance of cold. The strains other than IR showed a low level of nucleotide variation in COI but varied in their mode of reproduction; the strains from the Ryukyu Islands were sexual, whereas those from the main islands of Japan and Ogasawara were parthenogenetic. In addition, strains from higher latitudes generally showed a high incidence of diapause, although there were some exceptions. On the other hand, preimaginal period and adult cold tolerance varied little among the strains excluding IR, and pupal cold tolerance, oviposition preference and incidence of parasitism varied little among the strains including IR. Evolution and environmental adaptations in this species are discussed, particularly focusing on parthenogenetic populations.
C1 [Murata, Yusuke; Mitsui, Hideyuki; Kimura, Masahito T.] Hokkaido Univ, Grad Sch Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan.
   [Ideo, Shinsuke; Watada, Masayoshi] Ehime Univ, Fac Sci, Dept Biol, Matsuyama, Ehime 7908577, Japan.
C3 Hokkaido University; Ehime University
RP Kimura, MT (corresponding author), Hokkaido Univ, Grad Sch Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan.
EM mtk@ees.hokudai.ac.jp
OI Watada, Masayoshi/0000-0002-9917-7783
FU Ministry of Education, Science, Sports and Culture of Japan [19405013];
   Grants-in-Aid for Scientific Research [19405013] Funding Source: KAKEN
FX We thank F. Vavre for providing us with the French strain of Leptopilina
   heterotoma and information on the mating behaviour of Asobaro japonica.
   This work was supported by a Grant-in-Aid from Ministry of Education,
   Science, Sports and Culture of Japan (No. 19405013).
CR [Anonymous], 2021, PAUP* (Phylogenetic Analysis Using PAUP) version 4.0a 169
   Beppu Katsura, 2006, Memoirs of the National Science Museum (Tokyo), V43, P295
   Castagnone-Sereno P, 2006, HEREDITY, V96, P282, DOI 10.1038/sj.hdy.6800794
   CENIS JL, 1993, PHYTOPATHOLOGY, V83, P76, DOI 10.1094/Phyto-83-76
   Danilevskii AS, 1965, PHOTOPERIODISM SEASO
   Danks H.V., 1987, Insect dormancy: an ecological perspective, V1
   Folmer O., 1994, Molecular Marine Biology and Biotechnology, V3, P294
   HIRAI T, 2000, J PLASMA FUSION RES, V3, P284
   Kato Y, 2005, APPL ENTOMOL ZOOL, V40, P347, DOI 10.1303/aez.2005.347
   KIMOTO S, 1966, PAC INSECTS, V8, P467
   KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
   KIMURA MT, 1994, J NAT HIST, V28, P401, DOI 10.1080/00222939400770181
   Kimura MT, 2004, OECOLOGIA, V140, P442, DOI 10.1007/s00442-004-1605-4
   KIMURA MT, 1988, EVOLUTION, V42, P1288, DOI [10.2307/2409012, 10.1111/j.1558-5646.1988.tb04188.x]
   Kondo M, 2008, ENTOMOL SCI, V11, P7, DOI 10.1111/j.1479-8298.2007.00250.x
   Kraaijeveld AR, 1999, J EVOLUTION BIOL, V12, P129, DOI 10.1046/j.1420-9101.1999.00016.x
   KRAAIJEVELD AR, 1994, ECOL ENTOMOL, V19, P221, DOI 10.1111/j.1365-2311.1994.tb00413.x
   Loxdale HD, 2003, BIOL J LINN SOC, V79, P3, DOI 10.1046/j.1095-8312.2003.00177.x
   Lushai G, 2003, BIOL J LINN SOC, V79, P193, DOI 10.1046/j.1095-8312.2003.00189.x
   Lushai G, 2002, GENET RES, V79, P1, DOI 10.1017/S0016672301009582
   Masaki S., 1961, Bulletin of the Faculty of Agriculture Hirosaki University 1961, Vno. 7, P66
   Maynard-Smith J., 1978, Models in Ecology
   Mitsui H, 2007, J NAT HIST, V41, P1731, DOI 10.1080/00222930701504797
   Mori N, 2008, BIOL J LINN SOC, V95, P72, DOI 10.1111/j.1095-8312.2008.01041.x
   Ota H, 1998, RES POPUL ECOL, V40, P189, DOI 10.1007/BF02763404
   Peck JR, 1998, NATURE, V391, P889, DOI 10.1038/36099
   Roff Derek A., 1992
   SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
   Schwander T, 2009, EVOLUTION, V63, P84, DOI 10.1111/j.1558-5646.2008.00524.x
   Semblat JP, 1998, MOL ECOL, V7, P119, DOI 10.1046/j.1365-294x.1998.00326.x
   Shimizu T, 2001, ENTOMOL EXP APPL, V98, P303, DOI 10.1023/A:1018943409650
   Shiota H, 2007, BIOL J LINN SOC, V90, P375, DOI 10.1111/j.1095-8312.2007.00738.x
   Stouthamer R, 1997, INFLUENTIAL PASSENGERS, P102
   Tauber M.J., 1986, SEASONAL ADAPTATIONS
   Vorwerk S, 2007, GENOME, V50, P660, DOI 10.1139/G07-046
   Wilson ACC, 2003, BIOL J LINN SOC, V79, P115, DOI 10.1046/j.1095-8312.2003.00176.x
NR 36
TC 20
Z9 24
U1 0
U2 24
PU CZECH ACAD SCI, INST ENTOMOLOGY
PI CESKE BUDEJOVICE
PA BRANISOVSKA 31, CESKE BUDEJOVICE 370 05, CZECH REPUBLIC
EI 1802-8829
J9 EUR J ENTOMOL
JI Eur. J. Entomol.
PY 2009
VL 106
IS 2
BP 171
EP 178
DI 10.14411/eje.2009.020
PG 8
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 443VC
UT WOS:000265937900003
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Farhadi, M
   Bannayan, M
   Fallah, MH
   Jahan, M
AF Farhadi, Masume
   Bannayan, Mohammad
   Fallah, Mohammad Hassan
   Jahan, Mohsen
TI Identification of climatic and management factors influencing wheat's
   yield variability using AgMERRA dataset and DSSAT model across a
   temperate region
SO DISCOVER LIFE
LA English
DT Article
DE Spatiotemporal variables; Simulated data set; Wheat phenology; Climate
   variability; Growth stage
ID CROP YIELD; CHANGE IMPACTS; STRESS
AB One of the main challenges of today's agriculture to ensure food security is developing strategies to deal with potential negative impacts of adaptation to climate variability. This study was conducted to determine climatic and management factors influencing wheat yield variability throughout a temperate region in Northeastern Iran in the period of 1980-2010. The growth stages and yield of wheat crop were simulated via DSSAT model, using AgMERRA gridded weather dataset. Also, the effect of climatic variables on yield was identified using Panel Data Regression (PDA). According to the results, 63% of the changes in irrigated wheat yield are explained by climatic factors (temperature and precipitation) and 37% by management factors. PDA revealed that among the climatic variables, the number of days with temperatures above 30 degrees C during the growing season, mean temperature, as well as amount and frequency of precipitation have a significant effect on irrigated wheat yield (p <= 0.05). The management practices, including provision of inputs such as chemical fertilizers, modified seeds, tillage machinery and equipment, information transfer and the penetration of knowledge in the field, would increase yields by 5 kg on average per year in study region. In general, employing effective management methods, in particular selecting the appropriate planting date that could result in better adaptation of the phenological stages of wheat to climatic conditions, thus improving the wheat yield. The results of this research suggest that use of valid AgMERRA meteorological dataset as input for DSSAT crop model could produce reliable simulations which in turn could be employed by food policy and decision makers, farmers, and managers in a temperate region.
C1 [Farhadi, Masume; Bannayan, Mohammad; Fallah, Mohammad Hassan; Jahan, Mohsen] Ferdowsi Univ Mashhad, Fac Agr, Dept Agrotechnol, POB 9177948978, Mashhad, Iran.
C3 Ferdowsi University Mashhad
RP Jahan, M (corresponding author), Ferdowsi Univ Mashhad, Fac Agr, Dept Agrotechnol, POB 9177948978, Mashhad, Iran.
EM jahan@ferdowsi.um.ac.ir
RI Jahan, Mohsen/N-3723-2017
OI Jahan, Mohsen/0000-0003-2259-5124
CR Alexandrov VA, 2000, AGR FOREST METEOROL, V104, P315, DOI 10.1016/S0168-1923(00)00166-0
   Ali A, 2019, SILICON-NETH, V11, P2403, DOI 10.1007/s12633-015-9378-4
   Amjath-Babu TS, 2016, ECOL INDIC, V67, P830, DOI 10.1016/j.ecolind.2016.03.030
   Angstrom A., 1924, Q J ROY METEOR SOC, V50, P121, DOI DOI 10.1002/QJ.49705021008
   Arshad M, 2017, PADDY WATER ENVIRON, V15, P249, DOI 10.1007/s10333-016-0544-0
   Arun G. C., 2019, International Journal of Agriculture, Environment and Food Sciences, V3, P127
   Asseng S, 2011, GLOBAL CHANGE BIOL, V17, P997, DOI 10.1111/j.1365-2486.2010.02262.x
   Bannayan M., 2018, Iran J Field Crops Res, V16, P263, DOI [10.22067/gsc.v16i2.44536, DOI 10.22067/GSC.V16I2.44536]
   Bannayan M, 2010, FIELD CROP RES, V118, P105, DOI 10.1016/j.fcr.2010.04.011
   Batjes N. H., 2012, Report - ISRIC World Soil Information
   Bender FD, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/6204382
   Bosilovich MG, 2015, Technical report series on global modeling and data assimilation, volume 43 MERRA-2: initial evaluation of the climate. Technical report series on global modeling and data assimilation, V43, P43
   Burroughs W., 2003, Climate into the 21st century
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   Chávez-Herrera E, 2018, J PLANT GROWTH REGUL, V37, P859, DOI 10.1007/s00344-018-9782-2
   Curtis T, 2014, ANN APPL BIOL, V164, P354, DOI 10.1111/aab.12108
   Fallah M.H., 2021, J Agroecol, V12, P561, DOI [10.22067/jag.v12i4.77250, DOI 10.22067/JAG.V12I4.77250]
   Farhadi M., 2021, Iran J Field Crops Res, V19, P201, DOI [10.22067/jcesc.2021.69532.1044, DOI 10.22067/JCESC.2021.69532.1044]
   Farooq M, 2011, CRIT REV PLANT SCI, V30, P491, DOI 10.1080/07352689.2011.615687
   Flohr BM, 2018, FIELD CROP RES, V223, P12, DOI 10.1016/j.fcr.2018.03.021
   Gohari A, 2013, SCI TOTAL ENVIRON, V442, P405, DOI 10.1016/j.scitotenv.2012.10.029
   Iizumi T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034003
   IPCC, 2018, Special report on global warming: the intergovernmental panel on climate change, 2018/24/PR IPCC PRESS RELEASE
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Joyce RJ, 2004, J HYDROMETEOROL, V5, P487, DOI 10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2
   Koocheki A., 2019, Iran J Field Crops Res, V17, P15, DOI [10.22067/gsc.v17i1.62557, DOI 10.22067/GSC.V17I1.62557]
   Koocheki A., 2016, Iran J Field Crops Res, V13, P651, DOI [10.22067/gsc.v13i4.51156, DOI 10.22067/GSC.V13I4.51156]
   Krupnik T.J., 2013, Made in Bangladesh: Scale-appropriate machinery for agricultural resource conservation
   Krupnik TJ, 2015, AGR SYST, V139, P166, DOI 10.1016/j.agsy.2015.05.007
   Lewis E, 2018, Sustainaspeak, P153, DOI [10.4324/9781315270326-109, DOI 10.4324/9781315270326-109]
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Luo QY, 2003, AGR SYST, V77, P173, DOI 10.1016/S0308-521X(02)00109-9
   Mourtzinis S, 2017, EUR J AGRON, V82, P163, DOI 10.1016/j.eja.2016.10.013
   Muhammad Tahir Muhammad Tahir, 2009, Pakistan Journal of Life and Social Sciences, V7, P66
   Nassiri-Mahallati M., 2022, PLOS CLIMATE, V1, P1, DOI [10.1371/journal.pclm.0000003, DOI 10.1371/JOURNAL.PCLM.0000003]
   Nassiri-Mahallati M, 2020, INT J BIOMETEOROL, V64, P2105, DOI 10.1007/s00484-020-02001-z
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Poole N, 2005, Cereal growth stages guide
   Prescott J.A., 1940, T FROYAL SOC, V64, P114, DOI DOI 10.1155/2013/168048
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Raymundo R, 2018, EUR J AGRON, V100, P87, DOI 10.1016/j.eja.2017.11.008
   Ren SL, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11080971
   Reynolds MP, 2016, GLOB FOOD SECUR-AGR, V8, P9, DOI 10.1016/j.gfs.2016.02.002
   Rezaie EE, 2012, METEOROL APPL, V19, P346, DOI 10.1002/met.268
   Rienecker MM, 2011, J CLIMATE, V24, P3624, DOI 10.1175/JCLI-D-11-00015.1
   Ruane AC, 2015, AGR FOREST METEOROL, V200, P233, DOI 10.1016/j.agrformet.2014.09.016
   Sanjani S, 2011, CLIM RES, V49, P247, DOI 10.3354/cr01031
   Sookhtanlo M, 2019, Analysis of factors affecting on risk management of wheat production agris on-line papers in economics and informatics analysis of factors affecting on risk management of wheat production among wheat farmers
   Steinfort U, 2017, FIELD CROP RES, V201, P108, DOI 10.1016/j.fcr.2016.10.012
   Van Wart J, 2015, AGR FOREST METEOROL, V209, P49, DOI 10.1016/j.agrformet.2015.02.020
   van Wart J, 2013, FIELD CROP RES, V143, P34, DOI 10.1016/j.fcr.2012.11.018
   Wallach D, 2014, WORKING WITH DYNAMIC CROP MODELS: METHODS, TOOLS AND EXAMPLES FOR AGRICULTURE AND ENVIRONMENT, 2ND EDITION, P1, DOI 10.1016/C2011-0-06987-9
   Wang JY, 2017, ADV AGRON, V143, P139, DOI 10.1016/bs.agron.2017.01.002
   White JW, 2008, AGR FOREST METEOROL, V148, P1574, DOI 10.1016/j.agrformet.2008.05.017
   WILLMOTT CJ, 1985, J GEOPHYS RES-OCEANS, V90, P8995, DOI 10.1029/JC090iC05p08995
   Yaghoubi F, 2022, INT J BIOMETEOROL, V66, P447, DOI 10.1007/s00484-021-02219-5
   Yalcin H, 2017, INT CONF AGRO-GEOINF, P332
NR 58
TC 0
Z9 0
U1 4
U2 4
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 2948-2968
EI 2948-2976
J9 DISCOV LIFE-NETH
JI Discov. Life
PD JUL 30
PY 2024
VL 54
IS 1
AR 8
DI 10.1007/s11084-024-09651-8
PG 21
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA C5Z7X
UT WOS:001290157300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Arab, MM
   Marrano, A
   Abdollahi-Arpanahi, R
   Leslie, CA
   Cheng, H
   Neale, DB
   Vahdati, K
AF Arab, Mohammad M.
   Marrano, Annarita
   Abdollahi-Arpanahi, Rostam
   Leslie, Charles A.
   Cheng, Hao
   Neale, David B.
   Vahdati, Kourosh
TI Combining phenotype, genotype, and environment to uncover genetic
   components underlying water use efficiency in Persian walnut
SO JOURNAL OF EXPERIMENTAL BOTANY
LA English
DT Article
DE Abiotic stress; climate change; drought tolerance; genotyping array;
   genotype-environment analysis; genome-wide association study (GWAS); SNP
   markers
ID JUGLANS-REGIA L.; CARBON-ISOTOPE DISCRIMINATION; DEPENDENT
   PROTEIN-KINASES; ABIOTIC STRESS TOLERANCE; GENOME-WIDE ASSOCIATION;
   DROUGHT TOLERANCE; ABSCISIC-ACID; LINKAGE DISEQUILIBRIUM; GAS-EXCHANGE;
   ARABIDOPSIS
AB Walnut production is challenged by climate change and abiotic stresses. Elucidating the genomic basis of adaptation to climate is essential to breeding drought-tolerant cultivars for enhanced productivity in arid and semi-arid regions. Here, we aimed to identify loci potentially involved in water use efficiency (WUE) and adaptation to drought in Persian walnut using a diverse panel of 95 walnut families (950 seedlings) from Iran, which show contrasting levels of water availability in their native habitats. We analyzed associations between phenotypic, genotypic, and environmental variables from data sets of 609 000 high-quality single nucleotide polymorphisms (SNPs), three categories of phenotypic traits [WUE-related traits under drought, their drought stress index, and principal components (PCs)], and 21 climate variables and their combination (first three PCs). Our genotype-phenotype analysis identified 22 significant and 266 suggestive associations, some of which were for multiple traits, suggesting their correlation and a possible common genetic control. Also, genotype-environment association analysis found 115 significant and 265 suggestive SNP loci that displayed potential signals of local adaptation. Several sets of stress-responsive genes were found in the genomic regions significantly associated with the aforementioned traits. Most of the candidate genes identified are involved in abscisic acid signaling, stomatal regulation, transduction of environmental signals, antioxidant defense system, osmotic adjustment, and leaf growth and development. Upon validation, the marker-trait associations identified for drought tolerance-related traits would allow the selection and development of new walnut rootstocks or scion cultivars with superior WUE.
C1 [Arab, Mohammad M.; Vahdati, Kourosh] Univ Tehran, Coll Aburaihan, Dept Hort, Tehran, Iran.
   [Marrano, Annarita; Leslie, Charles A.; Neale, David B.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Abdollahi-Arpanahi, Rostam] Univ Tehran, Coll Aburaihan, Dept Anim & Poultry Sci, Tehran, Iran.
   [Cheng, Hao] Univ Calif Davis, Dept Anim Sci, Davis, CA 95616 USA.
C3 University of Tehran; University of California System; University of
   California Davis; University of Tehran; University of California System;
   University of California Davis
RP Vahdati, K (corresponding author), Univ Tehran, Coll Aburaihan, Dept Hort, Tehran, Iran.
EM kvahdati@ut.ac.ir
RI Abdollahi-Arpanahi, Rostam/AAG-7520-2020
OI Cheng, Hao/0000-0001-5146-7231
FU Iran National Science Foundation (INSF); Center of Excellence for Walnut
   Improvement and Technology of Iran, University of Tehran; University of
   California-Davis; California Walnut Board
FX We would like to thank the Iran National Science Foundation (INSF), the
   Center of Excellence for Walnut Improvement and Technology of Iran,
   University of Tehran, and the University of California-Davis for their
   support. We also thank the California Walnut Board for funding the
   genotyping assay.The authors are also grateful to Randi Famula and Gina
   Maria Sideli for their technical assistance, and Brian Allen and Omid
   Gholami for their lab support.
CR Aletà N, 2009, ANN FOREST SCI, V66, DOI 10.1051/forest/2009021
   Aradhya M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185974
   Bayazit S, 2007, SCI HORTIC-AMSTERDAM, V111, P394, DOI 10.1016/j.scienta.2006.11.006
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bernard A, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-017-1214-0
   Blum A, 2009, FIELD CROP RES, V112, P119, DOI 10.1016/j.fcr.2009.03.009
   Cao K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13246
   Cochard H, 2002, PLANT PHYSIOL, V128, P282, DOI 10.1104/pp.010400
   Cregg BM, 2001, FOREST ECOL MANAG, V154, P131, DOI 10.1016/S0378-1127(00)00626-5
   Crouzet J, 2006, FEBS LETT, V580, P1123, DOI 10.1016/j.febslet.2005.12.043
   Cumbie WP, 2011, HEREDITY, V107, P105, DOI 10.1038/hdy.2010.168
   Curtin SJ, 2017, PLANT PHYSIOL, V173, P921, DOI 10.1104/pp.16.01923
   Dhanapal AP, 2015, THEOR APPL GENET, V128, P73, DOI 10.1007/s00122-014-2413-9
   Famula RA, 2019, TREE GENET GENOMES, V15, DOI 10.1007/s11295-018-1307-4
   FARQUHAR GD, 1989, ANNU REV PLANT PHYS, V40, P503, DOI 10.1146/annurev.pp.40.060189.002443
   Franz S, 2011, MOL PLANT, V4, P83, DOI 10.1093/mp/ssq064
   Gao XY, 2008, GENET EPIDEMIOL, V32, P361, DOI 10.1002/gepi.20310
   Guerra FP, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-015-0965-8
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Jagodzik P, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01387
   Jerszurki D, 2017, SCI HORTIC-AMSTERDAM, V226, P342, DOI 10.1016/j.scienta.2017.08.051
   Jiang SC, 2015, PLANT MOL BIOL, V88, P369, DOI 10.1007/s11103-015-0327-9
   Jinagool W, 2018, HORTSCIENCE, V53, P132, DOI [10.21273/HORTSCI12350-17, 10.21273/hortsci12350-17]
   Kalladan R, 2017, P NATL ACAD SCI USA, V114, P11536, DOI 10.1073/pnas.1705884114
   Karimi S, 2018, SCI HORTIC-AMSTERDAM, V239, P181, DOI 10.1016/j.scienta.2018.05.029
   Kassambara A., 2020, R PACKAGE VERSION, V1, P7
   Khan SA, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19061634
   Khodadadi F, 2016, J AM SOC HORTIC SCI, V141, P119, DOI 10.21273/JASHS.141.2.119
   Kitahata N, 2005, BIOORGAN MED CHEM, V13, P4491, DOI 10.1016/j.bmc.2005.04.036
   Kitsios G, 2011, PLANT SIGNAL BEHAV, V6, P204, DOI 10.4161/psb.6.2.14835
   Knipfer T, 2018, TREE PHYSIOL, V38, P1180, DOI 10.1093/treephys/tpy049
   Korner C., 1999, Alpine plant life: functional plant ecology of high mountain ecosystems
   Laporte MM, 2002, J EXP BOT, V53, P699, DOI 10.1093/jexbot/53.369.699
   Lee S, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19071922
   Lewis Cathryn M, 2012, Cold Spring Harb Protoc, V2012, P297, DOI 10.1101/pdb.top068163
   Lind BM, 2017, MOL ECOL, V26, P3168, DOI 10.1111/mec.14106
   Lipka AE, 2012, BIOINFORMATICS, V28, P2397, DOI 10.1093/bioinformatics/bts444
   Liu BH, 2019, SCI HORTIC-AMSTERDAM, V250, P230, DOI 10.1016/j.scienta.2019.02.056
   Liu Xiaolei, 2016, PLoS Genet, V12, pe1005767, DOI 10.1371/journal.pgen.1005767
   Liu Y, 2015, BIOTECHNOL BIOFUELS, V8, DOI 10.1186/s13068-015-0245-8
   Lotfi N, 2010, ACTA HORTIC, V861, P309
   Lotfi N, 2009, HORTSCIENCE, V44, P1352, DOI 10.21273/HORTSCI.44.5.1352
   Lu K, 2016, J EXP BOT, V67, P5009, DOI 10.1093/jxb/erw266
   Lyzenga WJ, 2012, J EXP BOT, V63, P599, DOI 10.1093/jxb/err310
   Mackay I, 2007, TRENDS PLANT SCI, V12, P57, DOI 10.1016/j.tplants.2006.12.001
   Marrano A, 2019, PLANT BIOTECHNOL J, V17, P1027, DOI 10.1111/pbi.13034
   Marrano A, 2018, HORTIC RES-ENGLAND, V5, DOI 10.1038/s41438-018-0041-2
   Martínez-García PJ, 2016, PLANT J, V87, P507, DOI 10.1111/tpj.13207
   Mickelbart MV, 2015, NAT REV GENET, V16, P237, DOI 10.1038/nrg3901
   Mitchell N, 2018, ECOL EVOL, V8, P1853, DOI 10.1002/ece3.3773
   Moles AT, 2014, J VEG SCI, V25, P1167, DOI 10.1111/jvs.12190
   Morrell PL, 2005, P NATL ACAD SCI USA, V102, P2442, DOI 10.1073/pnas.0409804102
   Müller M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184167
   Myles S, 2011, P NATL ACAD SCI USA, V108, P3530, DOI 10.1073/pnas.1009363108
   Naser L, 2010, FRUITS, V65, P97, DOI 10.1051/fruits/20010005
   Postma FM, 2016, P NATL ACAD SCI USA, V113, P7590, DOI 10.1073/pnas.1606303113
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Rebetzke GJ, 2002, CROP SCI, V42, P739, DOI 10.2135/cropsci2002.0739
   Rizhsky L, 2004, PLANT PHYSIOL, V134, P1683, DOI 10.1104/pp.103.033431
   Robinson D, 2000, J EXP BOT, V51, P41, DOI 10.1093/jexbot/51.342.41
   Román A, 2012, J EXP BOT, V63, P4973, DOI 10.1093/jxb/ers174
   Rosati A, 2006, J HORTIC SCI BIOTECH, V81, P415, DOI 10.1080/14620316.2006.11512082
   Salekdeh GH, 2009, TRENDS PLANT SCI, V14, P488, DOI 10.1016/j.tplants.2009.07.007
   Schulz P, 2013, PLANT PHYSIOL, V163, P523, DOI 10.1104/pp.113.222539
   Shin D, 2011, PLANT PHYSIOL, V155, P421, DOI 10.1104/pp.110.163634
   Sonah H, 2015, PLANT BIOTECHNOL J, V13, P211, DOI 10.1111/pbi.12249
   Tian M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19703
   Tuberosa R, 2006, TRENDS PLANT SCI, V11, P405, DOI 10.1016/j.tplants.2006.06.003
   Vahdati K, 2009, HORTSCIENCE, V44, P1815, DOI 10.21273/HORTSCI.44.7.1815
   Vangestel C, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-017-1225-x
   Wagner TA, 2001, PLANT CELL, V13, P303, DOI 10.1105/tpc.13.2.303
   Wang HB, 2018, BMC PLANT BIOL, V18, DOI 10.1186/s12870-018-1308-3
   Wang HS, 2014, PLANT CELL REP, V33, P131, DOI 10.1007/s00299-013-1517-z
   Wang Q, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0094829
   Wang XL, 2018, P NATL ACAD SCI USA, V115, P5223, DOI 10.1073/pnas.1721749115
   Wang XL, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17101706
   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 S, 2002, PLANT CELL ENVIRON, V25, P195, DOI 10.1046/j.0016-8025.2001.00824.x
   Wójcik-Jagla M, 2013, THEOR APPL GENET, V126, P3021, DOI 10.1007/s00122-013-2190-x
   Yang G, 2017, PLANT BIOLOGY, V19, P268, DOI 10.1111/plb.12524
   Ye YY, 2017, PLANT CELL REP, V36, P235, DOI 10.1007/s00299-016-2084-x
   Yu JM, 2006, NAT GENET, V38, P203, DOI 10.1038/ng1702
   Zhai MZ, 2016, J PLANT BIOL, V59, P549, DOI 10.1007/s12374-015-0507-9
   Zhang JH, 2006, FIELD CROP RES, V97, P111, DOI 10.1016/j.fcr.2005.08.018
   Zorner RJ, 2008, AGR ECOSYST ENVIRON, V126, P67, DOI 10.1016/j.agee.2008.01.014
NR 86
TC 43
Z9 46
U1 2
U2 37
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0022-0957
EI 1460-2431
J9 J EXP BOT
JI J. Exp. Bot.
PD JAN 23
PY 2020
VL 71
IS 3
BP 1107
EP 1127
DI 10.1093/jxb/erz467
PG 21
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA KN8TZ
UT WOS:000515119200030
PM 31639822
OA hybrid
DA 2025-01-10
ER

PT J
AU Evans, M
   Aubriot, X
   Hearn, D
   Lanciaux, M
   Lavergne, S
   Cruaud, C
   Lowry, PP
   Haevermans, T
AF Evans, Margaret
   Aubriot, Xavier
   Hearn, David
   Lanciaux, Maxime
   Lavergne, Sebastien
   Cruaud, Corinne
   Lowry, Porter P., II
   Haevermans, Thomas
TI Insights on the Evolution of Plant Succulence from a Remarkable
   Radiation in Madagascar (<i>Euphorbia</i>)
SO SYSTEMATIC BIOLOGY
LA English
DT Article
DE Adaptation; climate; comparative analysis; Euphorbia; ordination;
   phylogeny
ID MULTIPLE SEQUENCE ALIGNMENT; BAOBAB TREES ADANSONIA; DIVERGENCE TIMES;
   LIFE FORM; WATER; PHYLOGENETICS; PATTERNS; ORIGINS; MODELS; ROOT
AB Patterns of adaptation in response to environmental variation are central to our understanding of biodiversity, but predictions of how and when broad-scale environmental conditions such as climate affect organismal form and function remain incomplete. Succulent plants have evolved in response to arid conditions repeatedly, with various plant organs such as leaves, stems, and roots physically modified to increase water storage. Here, we investigate the role played by climate conditions in shaping the evolution of succulent forms in a plant clade endemic to Madagascar and the surrounding islands, part of the hyper-diverse genus Euphorbia (Euphorbiaceae). We used multivariate ordination of 19 climate variables to identify links between particular climate variables and three major forms of succulence-succulent leaves, cactiform stem succulence, and tubers. We then tested the relationship between climatic conditions and succulence, using comparative methods that account for shared evolutionary history. We confirm that plant water storage is associated with the two components of aridity, temperature, and precipitation. Cactiform stem succulence, however, is not prevalent in the driest environments, countering the widely held view of cactiforms as desert icons. Instead, leaf succulence and tubers are significantly associated with the lowest levels of precipitation. Our findings provide a clear link between broad-scale climatic conditions and adaptation in land plants, and new insights into the climatic conditions favoring different forms of succulence. This evidence for adaptation to climate raises concern over the evolutionary future of succulent plants as they, along with other organisms, face anthropogenic climate change.
C1 [Evans, Margaret] Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA.
   [Evans, Margaret] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
   [Evans, Margaret; Aubriot, Xavier; Lanciaux, Maxime; Lowry, Porter P., II; Haevermans, Thomas] UPMC, MNHN, Natl Herbarium, ISYEB,Inst Systemat,EPHE,Biodivers UMR CNRS 7205, F-75231 Paris 05, France.
   [Aubriot, Xavier] Nat Hist Museum, Dept Life Sci, London SW7 5BD, England.
   [Hearn, David] Towson Univ, Dept Biol Sci, Baltimore, MD 21252 USA.
   [Lavergne, Sebastien] Univ Grenoble 1, Lab Ecol Alpine, UMR CNRS 5553, F-38041 Grenoble 9, France.
   [Cruaud, Corinne] Genoscope, Ctr Natl Sequencage, F-91057 Evry, France.
   [Lowry, Porter P., II] Missouri Bot Garden, St Louis, MO 63166 USA.
C3 University of Arizona; University of Arizona; Museum National d'Histoire
   Naturelle (MNHN); Sorbonne Universite; Universite PSL; Ecole Pratique
   des Hautes Etudes (EPHE); Natural History Museum London; University
   System of Maryland; Towson University; Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA);
   Universite Savoie Mont Blanc; Universite Paris Saclay; CEA; Missouri
   Botanical Gardens
RP Evans, M (corresponding author), Univ Arizona, Tree Ring Res Lab, 1215 E Lowell St, Tucson, AZ 85721 USA.
EM mekevans@u.arizona.edu
RI Hearn, David/F-8949-2011; Aubriot, Xavier/GQZ-3241-2022; Haevermans,
   Thomas/V-5068-2017
OI Aubriot, Xavier/0000-0002-8112-0754; Haevermans,
   Thomas/0000-0001-8934-4544; Cruaud, Corinne/0000-0002-4752-7278
FU MNHN ATMs "Taxonomie moleculaire: DNA barcode et gestion durable des
   collections"; MNHN ATMs "Biodiversite actuelle et fossile. Crises,
   stress, restaurations et panchronisme: le message systematique"; ANR
   [ANR-09-PEXT-011]
FX Financial support for field and laboratory work was provided by the MNHN
   ATMs "Taxonomie moleculaire: DNA barcode et gestion durable des
   collections" and "Biodiversite actuelle et fossile. Crises, stress,
   restaurations et panchronisme: le message systematique". This work was
   also supported by the ANR-funded project EVORANGE (ANR-09-PEXT-011).
CR [Anonymous], 1997, The evolutionary biology of plants
   [Anonymous], BIOL AUSTR PLANTS
   Arakaki M, 2011, P NATL ACAD SCI USA, V108, P8379, DOI 10.1073/pnas.1100628108
   Aubriot X., 2012, THESIS MUSEUM NATL H
   Austin MP, 2011, J BIOGEOGR, V38, P1, DOI 10.1111/j.1365-2699.2010.02416.x
   Bergh NG, 2009, MOL PHYLOGENET EVOL, V51, P5, DOI 10.1016/j.ympev.2008.09.001
   Boucher FC, 2012, EVOLUTION, V66, P1255, DOI 10.1111/j.1558-5646.2011.01483.x
   Bruyns PV, 2006, TAXON, V55, P397, DOI 10.2307/25065587
   Bruyns PV, 2011, TAXON, V60, P1717, DOI 10.1002/tax.606016
   Burgess T. L., 1988, Arid lands: today and tomorrow., P383
   Burgess Tony L., 1995, P31
   Chapotin SM, 2006, PLANT CELL ENVIRON, V29, P1021, DOI 10.1111/j.1365-3040.2005.01456.x
   Chapotin SM, 2006, NEW PHYTOL, V169, P549, DOI 10.1111/j.1469-8137.2005.01618.x
   Couvreur TLP, 2008, BMC BIOL, V6, DOI 10.1186/1741-7007-6-54
   Daubenmire RF., 1974, PLANTS ENV, V3rd
   Dolédec S, 2000, ECOLOGY, V81, P2914, DOI 10.1890/0012-9658(2000)081[2914:NSICAA]2.0.CO;2
   Dorsey BL, 2013, TAXON, V62, P291, DOI 10.12705/622.1
   Drummond A.J., 2007, A rough guide to BEAST 1.4
   Drummond AJ, 2005, MOL BIOL EVOL, V22, P1185, DOI [10.1093/molbev/msi103, 10.1093/molbev/mss075]
   Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
   Edwards EJ, 2006, AM NAT, V167, P777, DOI 10.1086/504605
   Eggli U, 2009, BRADLEYA, V27, P13
   FELSENSTEIN J, 1985, AM NAT, V125, P1, DOI 10.1086/284325
   FUTUYMA D.J., 1997, Evolutionary Biology
   Ganzhorn JU, 2001, ORYX, V35, P346, DOI 10.1046/j.1365-3008.2001.00201.x
   Gibson A.C., 1986, The Cactus Primer
   Godínez-Alvarez H, 2003, BOT REV, V69, P173, DOI 10.1663/0006-8101(2003)069[0173:DTITC]2.0.CO;2
   Hadfield JD, 2010, J EVOLUTION BIOL, V23, P494, DOI 10.1111/j.1420-9101.2009.01915.x
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hadfield JD, 2012, MCMCGLMM COURSE NOTE
   Haevermans T, 2004, ANN MO BOT GARD, V91, P247
   Haevermans T, 2009, ADANSONIA, V31, P279, DOI 10.5252/a2009n2a5
   Hearn D.J., 2004, THESIS U ARIZONA TUC
   Hearn DJ, 2006, SYST BOT, V31, P805, DOI 10.1600/036364406779695933
   Hearn DJ, 2013, INT J PLANT SCI, V174, P1049, DOI 10.1086/671745
   Hearn DJ, 2013, EVOLUTION, V67, P2273, DOI 10.1111/evo.12120
   Hearn DJ, 2009, AM J BOT, V96, P1941, DOI 10.3732/ajb.0800203
   Hearn David J., 2009, Aliso, V27, P13
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Ho SYW, 2007, J AVIAN BIOL, V38, P409, DOI 10.1111/j.2007.0908-8857.04168.x
   Horn JW, 2012, MOL PHYLOGENET EVOL, V63, P305, DOI 10.1016/j.ympev.2011.12.022
   Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
   Kumar L, 1997, INT J GEOGR INF SCI, V11, P475, DOI 10.1080/136588197242266
   Lesica P, 1999, AM J BOT, V86, P996, DOI 10.2307/2656617
   Lowry PP., 1997, Natural Change and Human Impact in Madagascar, P93
   MCAULIFFE JR, 1994, ECOL MONOGR, V64, P111, DOI 10.2307/2937038
   Miller MA, 2010, GAT COMP ENV WORKSH, P1, DOI [10.1109/gce.2010.5676129, DOI 10.1109/GCE.2010.5676129]
   Mittermeier RA., 2005, HOTSPOTS REVISITED E
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nobel P. S., 1988, Environmental biology of agaves and cacti.
   Nobel P.S., 1983, BIOPHYSICAL PLANT PH
   NOBEL PS, 1980, ECOLOGY, V61, P1, DOI 10.2307/1937146
   Nylander JAA., 2004, MRMODELTEST, V2
   Ogburn RM, 2012, PLANT CELL ENVIRON, V35, P1533, DOI 10.1111/j.1365-3040.2012.02503.x
   Ogburn RM, 2010, ADV BOT RES, V55, P179, DOI 10.1016/S0065-2296(10)55004-3
   Ogburn RM, 2009, AM J BOT, V96, P391, DOI 10.3732/ajb.0800142
   Olson ME, 2001, BOT J LINN SOC, V135, P315, DOI 10.1111/j.1095-8339.2001.tb00786.x
   Pfab MF, 1999, AFR J ECOL, V37, P249, DOI 10.1046/j.1365-2028.1999.00176.x
   Phillipson P.B., 2006, Taxonomy and Ecology of African Plants: Their Conservation and Sustainable Use, P613
   Pierson EA, 1998, ECOLOGY, V79, P2676, DOI 10.2307/176509
   Proches S, 2006, BIOL J LINN SOC, V87, P27, DOI 10.1111/j.1095-8312.2006.00557.x
   Rambaut A, 2007, TRACER VERSION 1 5
   RAUNKIAER C., 1934
   Raven P.H., 1986, Biology of plants
   Revell LJ, 2013, METHODS ECOL EVOL, V4, P754, DOI 10.1111/2041-210X.12066
   Schwinning S, 2001, J ECOL, V89, P464, DOI 10.1046/j.1365-2745.2001.00576.x
   Schwinning S, 2010, ECOHYDROLOGY, V3, P238, DOI 10.1002/eco.134
   Shreve Forrest., 1911, Plant World, V14, P136
   Stearns SC., 2005, EVOLUTION INTRO, V2nd ed.
   Steenbergh W F., 1977, Ecology of the Saguaro: II Reproduction, Germination, Establishment, Growth, and Survival of the Young Plant, V8, P1
   Steinmann V.W., 2001, THESIS CLAREMONT GRA
   Steinmann VW, 2002, ANN MO BOT GARD, V89, P453, DOI 10.2307/3298591
   Su YCF, 2009, BMC EVOL BIOL, V9, DOI 10.1186/1471-2148-9-153
   Thioulouse J, 1997, STAT COMPUT, V7, P75, DOI 10.1023/A:1018513530268
   Thomas P.A., 1991, Int. J. Wildland Fire, V1, P11, DOI [DOI 10.1071/WF9910011, 10.1071/wf9910011]
   THOMAS PA, 1992, BIOL CONSERV, V60, P91, DOI 10.1016/0006-3207(92)91159-P
   Thuiller W, 2004, ECOLOGY, V85, P1688, DOI 10.1890/03-0148
   Tyler C, 2003, PLANT ECOL, V165, P11, DOI 10.1023/A:1021460025277
   Van der Linde JA, 2012, S AFR J BOT, V83, P172, DOI 10.1016/j.sajb.2012.08.008
   Zimmermann NFA, 2010, PLANT SYST EVOL, V286, P39, DOI 10.1007/s00606-010-0272-7
NR 80
TC 45
Z9 47
U1 2
U2 89
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1063-5157
EI 1076-836X
J9 SYST BIOL
JI Syst. Biol.
PD SEP
PY 2014
VL 63
IS 5
BP 698
EP 711
DI 10.1093/sysbio/syu035
PG 14
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA AT1LG
UT WOS:000344694500004
PM 24852061
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Lockie, S
   Bartelet, HA
   Ritchie, BW
   Demeter, C
   Taylor, B
   Sie, L
AF Lockie, Stewart
   Bartelet, Henry A.
   Ritchie, Brent W.
   Demeter, Csilla
   Taylor, Bruce
   Sie, Lintje
TI Australians support multi-pronged action to build ecosystem resilience
   in the Great Barrier Reef
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Climate adaptation; Climate change; Ecosystem restoration; Ecosystem
   resilience; Great Barrier Reef
ID CLIMATE-CHANGE; SCIENTIFIC-INFORMATION; PUBLIC PERCEPTIONS; RESTORATION;
   TRUST; RESPONSES; MODEL
AB The scale and pace of global environmental change calls for a dramatic upscaling of ecosystem restoration and for actions that build the resilience of ecosystems to future environmental change. This research aimed to quantify public perceptions of threats to the health of the Great Barrier Reef (GBR), Australia, and their support for strategies to address those threats including large-scale restoration and resilience-building actions. We examine how these perceptions change over time and across social cohorts including people living closer to the Reef (n = 2621) and the general Australian population (n = 5825). Respondents were concerned about both the current state and future of the GBR. They identified climate change as the largest threat to the GBR with the strength of this perception increasing between 2018 and 2022. Respondents were ambivalent about existing management and overwhelmingly of the view that more should be done to save the GBR. Strong support was expressed for a range of responses including preventing threats, local restoration, measures to increase the resilience of the GBR to future threats, providing more research funding, and large-scale restoration. Trust in science to develop solutions for Reef protection and repair was high and strongly correlated with support for action. The results suggest that ongoing scientifically-informed action - underpinned by deep engagement with impacted communities and stakeholders and the full, prior and informed consent of rights-holders including First Nations - is needed to build public confidence in Reef management and the deployment of technological interventions.
C1 [Lockie, Stewart; Bartelet, Henry A.] James Cook Univ, Cairns Inst, POB 6811, Cairns, Qld 4870, Australia.
   [Lockie, Stewart] Australian Natl Univ, Sch Sociol, Canberra, ACT 2601, Australia.
   [Bartelet, Henry A.] Univ Sydney, Fac Engn, Sch Project Management, 21 Ross St, Forest Lodge, NSW 2037, Australia.
   [Bartelet, Henry A.] Ateneo Manila Univ, John Gokongwei Sch Management, Katipunan Ave, Quezon City 1108, Metro Manila, Philippines.
   [Ritchie, Brent W.; Demeter, Csilla; Sie, Lintje] Univ Queensland, Business Sch, Brisbane, Qld 4072, Australia.
   [Taylor, Bruce] CSIRO Environm, Ecosci Precinct, Dutton Pk, Brisbane, Qld, Australia.
C3 James Cook University; Australian National University; University of
   Sydney; Ateneo de Manila University; University of Queensland;
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Lockie, S (corresponding author), James Cook Univ, Cairns Inst, POB 6811, Cairns, Qld 4870, Australia.
EM stewart.lockie@jcu.edu.au; henry.bartelet@sydney.edu.au;
   b.ritchie@uq.edu.au; d.csilla@business.uq.edu.au; bruce.taylor@csiro.au;
   l.siehoyonosie1@uq.edu.au
RI Demeter, Csilla/AAY-1234-2020; Bartelet, Henry/GQR-1342-2022; Taylor,
   Barry/G-1410-2010; Sie, Lintje/ABD-3865-2021; Lockie,
   Stewart/J-5263-2014
OI Sie, Lintje/0000-0002-2236-5321; Bartelet, Henry
   Antoine/0000-0002-2786-2474; Lockie, Stewart/0000-0002-2109-6342
FU Reef Restoration and Adaptation Program; Australian Government's Reef
   Trust; Great Barrier Reef Foundation [RRAP-ENG-01]
FX Financial support for this research was provided through the Reef
   Restoration and Adaptation Program, funded by the partnership between
   the Australian Government's Reef Trust and the Great Barrier Reef
   Foundation, Grant Number: RRAP-ENG-01.
CR AIMS, 2018, Annual Summary Report of Coral Reef Condition 2017/2018: Great Barrier Reef Suffers Multiple, Regional-Scale Impacts
   AIMS, 2022, ANN SUMM REP COR REE
   [Anonymous], 1995, Statistics as principled argument
   [Anonymous], 2017, At what price? The economic, social and icon value of the Great Barrier Reef
   Anthony KRN, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0236399
   Atkinson J, 2020, RESTOR ECOL, V28, P1032, DOI 10.1111/rec.13229
   Bartelet HA, 2022, PEOPLE NAT, V4, P856, DOI 10.1002/pan3.10322
   Bell SE, 2019, ENVIRON SOCIOL, V5, P323, DOI 10.1080/23251042.2019.1624001
   Bliska HM, 2024, RESTOR ECOL, V32, DOI 10.1111/rec.14069
   Boström-Einarsson L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0226631
   Bowden V, 2018, ENVIRON SOCIOL, V4, P275, DOI 10.1080/23251042.2017.1382032
   BRANT R, 1990, BIOMETRICS, V46, P1171, DOI 10.2307/2532457
   Brewer PR, 2013, SCI COMMUN, V35, P115, DOI 10.1177/1075547012441691
   Bromme R, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262823
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Chazdon RL, 2024, RESTOR ECOL, V32, DOI 10.1111/rec.13535
   Convention on Biological Diversity, 2022, CBD/COP/15/L.25
   Curnock MI, 2019, NAT CLIM CHANGE, V9, P535, DOI 10.1038/s41558-019-0504-y
   Cutler MJ, 2020, ENVIRON SOCIOL, V6, P6, DOI 10.1080/23251042.2019.1690725
   Dajka JC, 2020, PEOPLE NAT, V2, P608, DOI 10.1002/pan3.10092
   Drews S, 2016, CLIM POLICY, V16, P855, DOI 10.1080/14693062.2015.1058240
   Dutra LXC, 2021, MAR POLLUT BULL, V164, DOI 10.1016/j.marpolbul.2020.111922
   Edwards DP, 2021, CURR BIOL, V31, pR1326, DOI 10.1016/j.cub.2021.08.058
   Falk DA, 2017, ANN MO BOT GARD, V102, P201, DOI 10.3417/2017006
   Fletcher MS, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022218118
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   GBRMPA, 2017, Great Barrier Reef Blueprint for Resilience
   GBRMPA, 2019, Great Barrier Reef Outlook Report 2019
   GBRMPA, 2017, Final Report: 2016 Coral Bleaching Event on the Great Barrier Reef
   Goldberg J, 2016, PALGR COMMUN, V2, DOI 10.1057/palcomms.2015.46
   Goldfinch S, 2021, AUST J PUBL ADMIN, V80, P3, DOI 10.1111/1467-8500.12459
   Gray S, 2012, ENVIRON MANAGE, V49, P663, DOI 10.1007/s00267-011-9800-7
   Harrell F., 2020, VIOLATION PROPORTION
   Hobman EV, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0252739
   Holl KD, 2011, FOREST ECOL MANAG, V261, P1558, DOI 10.1016/j.foreco.2010.07.004
   Hornsey MJ, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102492
   Kenny I, 2023, BIOL CONSERV, V288, DOI 10.1016/j.biocon.2023.110357
   Lam VYY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0172064
   Ldecke D., 2021, J OPEN SOURCE SOFTW, V6, P3139, DOI [10.21105/joss.03139, DOI 10.21105/JOSS.03139]
   Le D, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102513
   Liu John Chung-En., 2015, Environmental Sociology, V1, P280, DOI [DOI 10.1080/23251042.2015.1049811, 10.1080/23251042.2015.1049811]
   Lockie S, 2023, ENVIRON SOCIOL, V9, P1, DOI 10.1080/23251042.2023.2170310
   Lockie S, 2020, ENVIRON SOCIOL, V6, P1, DOI 10.1080/23251042.2020.1726640
   Lui FW, 2016, SOC NATUR RESOUR, V29, P1263, DOI 10.1080/08941920.2016.1150541
   Lyver PO, 2016, RESTOR ECOL, V24, P314, DOI 10.1111/rec.12318
   Mankad A, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.710641
   Marshall NA, 2017, COAST MANAGE, V45, P505, DOI 10.1080/08920753.2017.1373454
   McLeod IM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273325
   Nadler JT, 2015, J GEN PSYCHOL, V142, P71, DOI 10.1080/00221309.2014.994590
   Neumann C, 2022, ENVIRON COMMUN, V16, P433, DOI 10.1080/17524032.2022.2048407
   Ng CSL, 2023, RESTOR ECOL, V31, DOI 10.1111/rec.13854
   O'Connor E, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13239
   PETTY RE, 1983, J CONSUM RES, V10, P135, DOI 10.1086/208954
   Petursdottir T, 2013, RESTOR ECOL, V21, P75, DOI 10.1111/j.1526-100X.2011.00855.x
   Raaijmakers QAW, 2000, INT J PUBLIC OPIN R, V12, P208
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ren JWF, 2023, RESTOR ECOL, V31, DOI 10.1111/rec.13907
   Ripley B., 2013, Package 'mass
   Schlegel B., 2020, BRANT TEST PARALLEL
   Sheremata M, 2018, CURR OPIN ENV SUST, V35, P75, DOI 10.1016/j.cosust.2018.10.017
   Shindler B, 2011, RANGELAND ECOL MANAG, V64, P335, DOI 10.2111/REM-D-10-00012.1
   Sikder AMK, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001156
   Sterne Jonathan., 2012, The Sound Studies Reader, P1
   Stoddart M.C.J., 2017, Environmental Sociology, V3, P309, DOI [DOI 10.1080/23251042.2017.1329613, 10.1080/23251042.2017.1329613, 10.1080/23251042.2017, DOI 10.1080/23251042.2017]
   Thiault L, 2021, CONSERV BIOL, V35, P598, DOI 10.1111/cobi.13591
   Ulibarri N, 2018, ENVIRON SCI POLICY, V82, P136, DOI 10.1016/j.envsci.2018.01.022
   UNESCO, 1981, Great Barrier Reef
   Vella K, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0257868
   Ware J, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224424
   Weber EU, 2016, WIRES CLIM CHANGE, V7, P125, DOI 10.1002/wcc.377
   Yang ZJ, 2016, RISK ANAL, V36, P1079, DOI 10.1111/risa.12526
NR 71
TC 1
Z9 1
U1 3
U2 3
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD NOV
PY 2024
VL 299
AR 110789
DI 10.1016/j.biocon.2024.110789
EA OCT 2024
PG 15
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA I8P5L
UT WOS:001332821200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Tian, L
   Yao, WX
   Liu, ZA
   Shen, Q
   Zhang, LL
   Fei, F
   Xia, YQ
   Fukuda, H
AF Tian, Lei
   Yao, Wanxiang
   Liu, Zu-An
   Shen, Qiong
   Zhang, Lili
   Fei, Fan
   Xia, Yueqiu
   Fukuda, Hiroatsu
TI Effectiveness of enhanced roof ventilation unit (ERU) based on venturi
   cap in different wind environments and new evaluation models: A
   numerical study
SO JOURNAL OF BUILDING ENGINEERING
LA English
DT Article
DE Venturi cap; Wind environment; Enhanced roof ventilation unit;
   Evaluation model; Climate adaptability
ID NATURAL VENTILATION; THERMAL PERFORMANCE; ENERGY-CONSUMPTION;
   CROSS-VENTILATION; CFD SIMULATION; SHAPED ROOF; AIR-FLOW; EFFICIENCY;
   BUILDINGS; IMPACT
AB Reasonable building ventilation design can effectively improve indoor thermal comfort and reduce energy consumption. Therefore, an enhanced roof ventilation unit (ERU) was developed for this study, and its performance and influence law under various wind speeds and directions were explored through numerical simulation. Additionally, a new evaluation method for ERU was proposed through data fitting, and applicability was verified for different climate zones in China. The results showed that: (1) With a maximum difference of 3.11 degrees C, the ERU performed best in the N direction and poorest in the SW direction for indoor temperature. Furthermore, the impact of wind directions was more evident than wind speeds. (2) The wind speed affected the volume flow rate significantly in the NE direction (7.77 m3/s) and insignificantly not in the SE direction (0.32 m3/s). Nevertheless, the performance was the opposite in the NE and SE directions when the wind speed increased from 0.5 m/s (3) The air age performed best in the NE and worst in the SE directions. As wind speeds surpassed 2.0 m/s, the air age variation steadily stabilized in various wind directions. (4) The fitted equation for indoor temperature has applicability in typical cities in five climate zones, and the fitted equation for volume flow rate is applicable in four climate zones except the hot summer and warm winter zone. The study results can provide references for the ERU to improve indoor thermal ventilation, contributing to sustainable building energy efficiency.
C1 [Tian, Lei; Yao, Wanxiang; Liu, Zu-An] Xuzhou Univ Technol, Sch Civil Engn, Xuzhou 221018, Peoples R China.
   [Tian, Lei; Yao, Wanxiang; Liu, Zu-An; Fei, Fan; Xia, Yueqiu; Fukuda, Hiroatsu] Univ Kitakyushu, Fac Environm Engn, Kitakyushu 8080135, Japan.
   [Yao, Wanxiang] Qingdao Univ Technol, ISMART, Qingdao 266033, Peoples R China.
   [Shen, Qiong; Zhang, Lili] Sichuan Agr Univ, Coll Architectural & Urban Rural Planning, Dujiangyan 611830, Peoples R China.
C3 Xuzhou University of Technology; University of Kitakyushu; Qingdao
   University of Technology; Sichuan Agricultural University
RP Liu, ZA (corresponding author), Xuzhou Univ Technol, Sch Civil Engn, Xuzhou 221018, Peoples R China.
EM lza_jsxz@163.com
RI Fukuda, Hiroatsu/AAV-3528-2020; Liu, Zu-An/HDM-1843-2022; Fei,
   Fan/KLZ-6262-2024
OI Liu, Zu-An/0000-0003-0210-173X; Fei, Fan/0000-0003-1217-5732
FU High Level Introduction of Talent Research Start-up Fund from Xuzhou
   University of Technology [02900452]
FX The authors acknowledge Sichuan Agricultural University for the
   instruments provided in the experimental tests. We would like to thank
   Yukai Qin and Jiarui Yu for their help in undertaking the field
   measurement and collecting the data. In addition, the support by the
   High Level Introduction of Talent Research Start-up Fund from Xuzhou
   University of Technology (02900452) .
CR Allouhi A, 2015, J CLEAN PROD, V109, P118, DOI 10.1016/j.jclepro.2015.05.139
   Ameer SA, 2016, ENERG BUILDINGS, V130, P733, DOI 10.1016/j.enbuild.2016.09.005
   Asfour OS, 2008, APPL ENERG, V85, P1126, DOI 10.1016/j.apenergy.2007.10.015
   Bianco V, 2018, THERM SCI ENG PROG, V6, P426, DOI 10.1016/j.tsep.2018.02.016
   Blocken B, 2011, COMPUT FLUIDS, V48, P202, DOI 10.1016/j.compfluid.2011.04.012
   Cao XD, 2016, ENERG BUILDINGS, V128, P198, DOI 10.1016/j.enbuild.2016.06.089
   Cheikh H.B., 2008, Open Fuel Energy Sci. J., V1, P1
   Ciampi M, 2005, SOL ENERGY, V79, P183, DOI 10.1016/j.solener.2004.08.014
   Dabaieh M, 2015, ENERG BUILDINGS, V89, P142, DOI 10.1016/j.enbuild.2014.12.034
   De Paepe M, 2012, BIOSYST ENG, V113, P22, DOI 10.1016/j.biosystemseng.2012.06.003
   Delgado MG, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103642
   Ecim-Djuric O, 2010, ENERG BUILDINGS, V42, P1165, DOI 10.1016/j.enbuild.2009.10.035
   Gagliano A, 2012, ENERG BUILDINGS, V49, P611, DOI 10.1016/j.enbuild.2012.03.007
   Gullbrekken L, 2018, J WIND ENG IND AEROD, V175, P144, DOI 10.1016/j.jweia.2018.01.026
   Hou JW, 2022, CASE STUD CONSTR MAT, V16, DOI 10.1016/j.cscm.2022.e01033
   Inthavong K, 2009, BUILD ENVIRON, V44, P125, DOI 10.1016/j.buildenv.2008.02.002
   Janssens A, 2007, ENERG BUILDINGS, V39, P1047, DOI 10.1016/j.enbuild.2006.10.016
   Jiang ZR, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101737
   Jozwiak R, 1996, J WIND ENG IND AEROD, V60, P167, DOI 10.1016/0167-6105(96)00031-1
   Kim K, 2008, BIOSYST ENG, V100, P245, DOI 10.1016/j.biosystemseng.2008.03.006
   Kobayashi T, 2013, BUILD ENVIRON, V63, P20, DOI 10.1016/j.buildenv.2013.01.018
   Lee S, 2009, BUILD ENVIRON, V44, P1431, DOI 10.1016/j.buildenv.2008.09.009
   Li D, 2016, SUSTAIN CITIES SOC, V22, P86, DOI 10.1016/j.scs.2016.02.004
   Liu Y, 2023, J BUILD ENG, V66, DOI 10.1016/j.jobe.2023.105933
   Liu ZA, 2022, CASE STUD THERM ENG, V40, DOI 10.1016/j.csite.2022.102536
   Norton T, 2009, BIOSYST ENG, V103, P78, DOI 10.1016/j.biosystemseng.2009.02.007
   Omar AI, 2017, ENRGY PROCED, V140, P361, DOI 10.1016/j.egypro.2017.11.149
   Parral JP, 2004, BIOSYST ENG, V87, P355, DOI 10.1016/j.biosystemseng.2003.12.004
   Perén JI, 2016, BUILD ENVIRON, V96, P142, DOI 10.1016/j.buildenv.2015.11.021
   Perén JI, 2015, BUILD ENVIRON, V92, P578, DOI 10.1016/j.buildenv.2015.05.011
   Perén JI, 2015, BUILD ENVIRON, V85, P263, DOI 10.1016/j.buildenv.2014.12.007
   Ran JD, 2017, ENRGY PROCED, V141, P260, DOI 10.1016/j.egypro.2017.11.103
   Ruparathna R, 2016, RENEW SUST ENERG REV, V53, P1032, DOI 10.1016/j.rser.2015.09.084
   Shaeri J, 2022, J BUILD ENG, V59, DOI 10.1016/j.jobe.2022.105041
   Shklyar A, 2004, J WIND ENG IND AEROD, V92, P1039, DOI 10.1016/j.jweia.2004.05.008
   Sui XM, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103040
   Teitel M, 2008, BIOSYST ENG, V101, P351, DOI 10.1016/j.biosystemseng.2008.09.004
   Tognon G, 2023, J BUILD ENG, V76, DOI 10.1016/j.jobe.2023.107060
   Toparlar Y, 2015, BUILD ENVIRON, V83, P79, DOI 10.1016/j.buildenv.2014.08.004
   van Hooff T, 2012, J WIND ENG IND AEROD, V104, P419, DOI 10.1016/j.jweia.2012.02.013
   van Hooff T, 2011, BUILD ENVIRON, V46, P1797, DOI 10.1016/j.buildenv.2011.02.009
   Zhang LL, 2021, ENERGIES, V14, DOI 10.3390/en14165053
   Zhang ZY, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.103408
   Zune M, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102240
NR 44
TC 0
Z9 0
U1 4
U2 6
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2352-7102
J9 J BUILD ENG
JI J. Build. Eng.
PD JUN 15
PY 2024
VL 87
AR 109135
DI 10.1016/j.jobe.2024.109135
PG 17
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA QS1B7
UT WOS:001222757200001
DA 2025-01-10
ER

PT J
AU af Sätra, JS
   Garkava-Gustavsson, L
   Ingvarsson, PK
AF af Satra, J. Skytte
   Garkava-Gustavsson, L.
   Ingvarsson, P. K.
TI Why we thrive beneath a northern sky - genomic signals of selection in
   apple for adaptation to northern Sweden
SO HEREDITY
LA English
DT Article
ID ASSOCIATION; DYNAMICS; TREES; SCANS; TOOL
AB Good understanding of the genomic regions underlying adaptation of apple to boreal climates is needed to facilitate efficient breeding of locally adapted apple cultivars. Proper infrastructure for phenotyping and evaluation is essential for identification of traits responsible for adaptation, and dissection of their genetic composition. However, such infrastructure is costly and currently not available for the boreal zone of northern Sweden. Therefore, we used historical pomological data on climate adaptation of 59 apple cultivars and whole genome sequencing to identify genomic regions that have undergone historical selection among apple cultivars recommended for cultivation in northern Sweden. We found the apple collection to be composed of two ancestral groups that are largely concordant with the grouping into 'hardy' and 'not hardy' cultivars based on the pomological literature. Using a number of genome-wide scans for signals of selection, we obtained strong evidence of positive selection at a genomic region around 29 MbHFTH1 of chromosome 1 among apple cultivars in the 'hardy' group. Using phased genotypic data from the 20 K apple Infinium (R) SNP array, we identified haplotypes associated with the two cultivar groups and traced transmission of these haplotypes through the pedigrees of some apple cultivars. This demonstrates that historical data from pomological literature can be analyzed by population genomic approaches as a step towards revealing the genomic control of a key property for a horticultural niche market. Such knowledge is needed to facilitate efficient breeding strategies for development of locally adapted apple cultivars in the future. The current study illustrates the response to a very strong selective pressure imposed on tree crops by climatic factors, and the importance of genetic research on this topic and feasibility of breeding efforts in the light of the ongoing climate change.
C1 [af Satra, J. Skytte; Garkava-Gustavsson, L.] Swedish Univ Agr Sci, Dept Plant Breeding, Alnarp, Sweden.
   [Ingvarsson, P. K.] Swedish Univ Agr Sci, Dept Plant Biol, Uppsala, Sweden.
C3 Swedish University of Agricultural Sciences; Swedish University of
   Agricultural Sciences
RP af Sätra, JS (corresponding author), Swedish Univ Agr Sci, Dept Plant Breeding, Alnarp, Sweden.
EM jonas.skytte.af.satra@slu.se
RI Skytte af Sätra, Jonas/GRF-4512-2022; Ingvarsson, Pär/G-2748-2010
OI Ingvarsson, Par/0000-0001-9225-7521
FU Swedish University of Agricultural Sciences
FX Open access funding provided by Swedish University of Agricultural
   Sciences.
CR af Sätra JS, 2020, SCI HORTIC-AMSTERDAM, V272, DOI 10.1016/j.scienta.2020.109599
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Allard A, 2016, J EXP BOT, V67, P2875, DOI 10.1093/jxb/erw130
   Berardini TZ, 2015, GENESIS, V53, P474, DOI 10.1002/dvg.22877
   Bernhardsson C., 2020, SPRUCE GENOME, P9, DOI DOI 10.1007/978-3-030-21001-4_2
   Bianco L, 2016, PLANT J, V86, P62, DOI 10.1111/tpj.13145
   Bianco L, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0110377
   Broad Institute, 2018, Picard Toolkit
   Chagné D, 2014, HORTIC RES-ENGLAND, V1, DOI 10.1038/hortres.2014.46
   Chagné D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031745
   Chang CC, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0047-8
   Chen PX, 2021, PLANT BIOTECHNOL J, V19, P2206, DOI 10.1111/pbi.13648
   Cornille A, 2014, TRENDS GENET, V30, P57, DOI 10.1016/j.tig.2013.10.002
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Daccord N, 2017, NAT GENET, V49, P1099, DOI 10.1038/ng.3886
   Danecek P, 2021, GIGASCIENCE, V10, DOI 10.1093/gigascience/giab008
   DeGiorgio M, 2016, BIOINFORMATICS, V32, P1895, DOI 10.1093/bioinformatics/btw051
   Denance C., 2020, MUNQ - Malus UNiQue genotype code for grouping apple accessions corresponding to a unique genotypic profile, V20, DOI DOI 10.15454/HKGMAS
   Di Guardo M, 2015, BIOINFORMATICS, V31, P3873, DOI 10.1093/bioinformatics/btv446
   Di Pierro EA, 2016, HORTIC RES-ENGLAND, V3, DOI 10.1038/hortres.2016.57
   Ding JH, 2016, CURR OPIN PLANT BIOL, V29, P73, DOI 10.1016/j.pbi.2015.11.007
   Duan NB, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00336-7
   Fernqvist I, 1993, RST VAXTATLAS MED ZO
   Gaut BS, 2015, TRENDS GENET, V31, P709, DOI 10.1016/j.tig.2015.10.002
   Hänninen H, 2007, SILVA FENN, V41, P167, DOI 10.14214/sf.313
   Howard N. P., 2018, 18th International Conference on Organic Fruit-Growing : Proceedings of the Conference, 19-21 February 2018, Hohenheim, Germany, P88
   Howard NP, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-021-07565-7
   Howard NP, 2017, HORTIC RES-ENGLAND, V4, DOI 10.1038/hortres.2017.3
   Ingvarsson PK, 2020, EVOL APPL, V13, P132, DOI 10.1111/eva.12792
   Jung S, 2019, NUCLEIC ACIDS RES, V47, pD1137, DOI 10.1093/nar/gky1000
   Larsen B, 2019, PLANT GENOME-US, V12, DOI 10.3835/plantgenome2018.12.0104
   Larsen B, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0201889
   Li H., 2013, GENOMICS, DOI [10.48550/arXiv.1303.3997, DOI 10.48550/ARXIV.1303.3997]
   Li JZ, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19010310
   Li YX, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-2288-7
   Liao L, 2021, MOL PLANT, V14, P1454, DOI 10.1016/j.molp.2021.05.018
   Manichaikul A, 2010, BIOINFORMATICS, V26, P2867, DOI 10.1093/bioinformatics/btq559
   Metzger MJ, 2005, GLOBAL ECOL BIOGEOGR, V14, P549, DOI 10.1111/j.1466-822x.2005.00190.x
   Migicovsky Z, 2021, FRONT GENET, V12, DOI 10.3389/fgene.2021.671300
   Migicovsky Z, 2016, PLANT GENOME-US, V9, DOI 10.3835/plantgenome2015.11.0113
   Miller AJ, 2011, AM J BOT, V98, P1389, DOI 10.3732/ajb.1000522
   Minamikawa MF, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00485-3
   Muranty H, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-019-2171-6
   Naslund GK, 2010, SVENSKA APPLEN
   Nielsen R, 2005, GENOME RES, V15, P1566, DOI 10.1101/gr.4252305
   Nilsson A, 1987, VARA APPLESORTER, V2
   Nybom H, 2021, POMOLOGEN, P6
   Nybom H., 2019, Chron Horticult, V59, P21
   Nybom H., 2020, POMOLOGEN, V4, P16
   O'Leary SJ, 2018, MOL ECOL, V27, P3193, DOI 10.1111/mec.14792
   Pan WQ, 2021, GENES-BASEL, V12, DOI 10.3390/genes12101635
   Poplin R., 2018, bioRxiv, DOI 10.1101/201178
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Raza A, 2023, PLANT STRESS, V8, DOI 10.1016/j.stress.2023.100152
   Rendón-Anaya M, 2021, MOL BIOL EVOL, V38, P5034, DOI 10.1093/molbev/msab229
   Rymenants M, 2020, TREE GENET GENOMES, V16, DOI 10.1007/s11295-020-01466-8
   Sabeti PC, 2007, NATURE, V449, P913, DOI 10.1038/nature06250
   Satra J. Skytte Af, 2023, Acta Horticulturae, P259, DOI 10.17660/ActaHortic.2023.1384.34
   SJV, 2017, OFFICIAL STAT SWEDIS
   Skytte af Satra J, 2023, THESIS SWEDISH U AGR, DOI [10.54612/a.4usn6qgb7l, DOI 10.54612/A.4USN6QGB7L]
   Skytte af Satra J, 2023, C PRES 16 EUCARPIA S
   Svensson H, 2005, APPLEN SVERIGE
   Szpiech ZA, 2021, biorxiv, DOI [10.1101/2021.10.22.465497, DOI 10.1101/2021.10.22.465497]
   Szpiech ZA, 2014, MOL BIOL EVOL, V31, P2824, DOI 10.1093/molbev/msu211
   Urrestarazu J, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01923
   Urrestarazu J, 2016, BMC PLANT BIOL, V16, DOI 10.1186/s12870-016-0818-0
   Van der Auwera G. A., 2020, Genomics in the cloud: using Docker, GATK, and WDL in Terra
   Vanderzande S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210928
   Vanderzande S, 2017, TREE GENET GENOMES, V13, DOI 10.1007/s11295-017-1206-0
   Voorrips Roeland E, 2012, J Hered, V103, P903, DOI 10.1093/jhered/ess060
   Walsh B, 2018, EVOLUTION AND SELECTION OF QUANTITATIVE TRAITS, P1, DOI 10.1093/oso/9780198830870.001.0001
   Wang DL, 2016, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.01248
   Wang J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1444-y
   Wisniewski M, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01394
   Wisniewski M, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00085
   Xu J, 2015, J INTEGR AGR, V14, P1673, DOI 10.1016/S2095-3119(14)60980-1
   Zhang LY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09518-x
NR 77
TC 1
Z9 1
U1 2
U2 3
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 0018-067X
EI 1365-2540
J9 HEREDITY
JI Heredity
PD AUG
PY 2024
VL 133
IS 2
BP 67
EP 77
DI 10.1038/s41437-024-00693-2
EA JUN 2024
PG 11
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA A0O7I
UT WOS:001239261500001
PM 38834867
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Sweeney, CJ
   Butler, F
   Wingler, A
AF Sweeney, Calum J.
   Butler, Fidelma
   Wingler, Astrid
TI Comparison of the timing of spring phenological events between
   phenological garden trees and wild populations
SO JOURNAL OF PLANT ECOLOGY
LA English
DT Article
DE citizen science; downy birch (Betula pubescens); hazel (Corylus
   avellana); phenological garden; spring phenology; tree size
ID LEAF PHENOLOGY; CLIMATE-CHANGE; TRENDS
AB Phenological research is engaged in monitoring the influence of climate change on the natural environment. The International Phenological Gardens (IPG) network provides a valuable dataset of standardized tree phenology records dating back to the mid-20th century. To make best use of this actively growing record, it is important to investigate how network data can be applied to predict the timing of phenological events in natural populations. This study compared clonally propagated IPG downy birch (Betula pubescens Ehrh.) and hazel (Corylus avellana L.) specimens of central European provenance to nearby wild populations at the western-most margin of the IPG network, in the south-west of Ireland. In addition to monitoring by trained scientists, observations by citizen scientists were included. The order of the timing of phenological events among sites was consistent across 2 years, confirming reproducibility of the results. IPG trees had the earliest B. pubescens leaf unfolding and C. avellana flowering dates of the sites studied. In addition, leaf unfolding occurred later in the wild populations than expected from the temperature responses of the B. pubescens and C. avellana IPG clones. Natural variation in phenology also exceeded the historical change observed at the IPG site, suggesting a potential genetic basis for climate adaptation. Trunk circumference, reflecting the age-dependent increase in tree size, was found to influence C. avellana phenology, with earlier timing of phenological events in larger trees. This finding highlights tree size as an important consideration in the management of phenological gardens and tree phenology research in general.
C1 [Wingler, Astrid] Univ Coll Cork, Sch Biol Earth & Environm Sci, North Mall, Cork T23TK30, Ireland.
   Univ Coll Cork, Environm Res Inst, North Mall, Cork T23TK30, Ireland.
C3 University College Cork; University College Cork
RP Wingler, A (corresponding author), Univ Coll Cork, Sch Biol Earth & Environm Sci, North Mall, Cork T23TK30, Ireland.
EM astrid.wingler@ucc.ie
RI Wingler, Astrid/J-7869-2017
OI Wingler, Astrid/0000-0003-4229-2497
FU European Regional Development Fund through its Ireland Wales Cooperation
   Programme 2014-2020 [C81315]
FX This work was carried out as part of the LIVE Project
   (www.ecomuseumlive.eu), which received funding from the European
   Regional Development Fund through its Ireland Wales Cooperation
   Programme 2014-2020 (contract number C81315).
CR Alecrim EF, 2023, J ECOL, V111, P156, DOI 10.1111/1365-2745.14023
   Atkins T. A., 1990, Acta Horticulturae, P201
   Augspurger CK, 2003, TREE PHYSIOL, V23, P517, DOI 10.1093/treephys/23.8.517
   Bastl K, 2020, J MED INTERNET RES, V22, DOI 10.2196/16767
   Belton S, 2021, FORESTS, V12, DOI 10.3390/f12091246
   Bruns E, 2003, TASK VEG SC, V39, P93
   Caudullo G, 2017, DATA BRIEF, V12, P662, DOI 10.1016/j.dib.2017.05.007
   Cawkwell F., 2021, EPA Research Programme (2021-2030)
   Morellato LPC, 2016, BIOL CONSERV, V195, P60, DOI 10.1016/j.biocon.2015.12.033
   Cerlini PB, 2022, INT J BIOMETEOROL, V66, P71, DOI 10.1007/s00484-021-02190-1
   Coppins S., 2012, Atlantic Hazel, Scotlands Special Woodlands
   D'Amato G, 2007, ALLERGY, V62, P976, DOI 10.1111/j.1398-9995.2007.01393.x
   Donnelly A., 2013, Report Series, V23
   Donnelly Alison, 2006, Biology and Environment, V106B, P49, DOI 10.3318/BIOE.2006.106.1.49
   Donnelly A, 2021, INT J REMOTE SENS, V42, P7821, DOI 10.1080/01431161.2021.1969056
   Donnelly A, 2018, INT J REMOTE SENS, V39, P8129, DOI 10.1080/01431161.2018.1482021
   Dow C, 2022, NATURE, V608, P552, DOI 10.1038/s41586-022-05092-3
   Freimuth J, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2021.2142
   Gardiner AS., 1981, Forest and Woodland Ecology: An Account of Research Being Done in ITE, P89
   Gleeson E, 2013, BIOL ENVIRON, V113B, P47, DOI 10.3318/BIOE.2013.06
   Groover A., 2017, eLS
   Heberling JM, 2019, ECOL LETT, V22, P616, DOI 10.1111/ele.13224
   Heimonen K, 2017, SCAND J FOREST RES, V32, P95, DOI 10.1080/02827581.2016.1195867
   Horbach S, 2023, FLORA, V300, DOI 10.1016/j.flora.2023.152218
   Jepsen JU, 2011, GLOBAL CHANGE BIOL, V17, P2071, DOI 10.1111/j.1365-2486.2010.02370.x
   Keenan TF, 2014, NAT CLIM CHANGE, V4, P598, DOI [10.1038/nclimate2253, 10.1038/NCLIMATE2253]
   Kharouba HM, 2018, P NATL ACAD SCI USA, V115, P5211, DOI 10.1073/pnas.1714511115
   Laessoe T, 2019, FUNGI TEMPERATE EURO, VI
   Lapointe L, 2001, PHYSIOL PLANTARUM, V113, P151, DOI 10.1034/j.1399-3054.2001.1130201.x
   Lobo A, 2018, ECOL EVOL, V8, P2231, DOI 10.1002/ece3.3824
   Marchand LJ, 2020, AGR FOREST METEOROL, V290, DOI 10.1016/j.agrformet.2020.108031
   Mayer A, 2010, BIOSCIENCE, V60, P172, DOI 10.1525/bio.2010.60.3.3
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Nordt B, 2021, FUNCT ECOL, V35, P821, DOI 10.1111/1365-2435.13747
   Orlandi F, 2014, INT J BIOMETEOROL, V58, P661, DOI 10.1007/s00484-013-0646-y
   Orlandi F, 2021, ITAL J AGROMETEOROL, P81, DOI 10.36253/ijam-822
   Ovaska JA, 2005, ECOL STU AN, V180, P99
   Parnell J., 2012, Webb's An Irish Flora, V8th
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Possen BJHM, 2014, TREES-STRUCT FUNCT, V28, P1801, DOI 10.1007/s00468-014-1087-x
   QGIS Development Team, 2023, QGIS Geographic Information System
   Renner SS, 2022, INT J BIOMETEOROL, V66, P35, DOI 10.1007/s00484-021-02185-y
   Renner SS, 2018, ANNU REV ECOL EVOL S, V49, P165, DOI 10.1146/annurev-ecolsys-110617-062535
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   Salojärvi J, 2017, NAT GENET, V49, P904, DOI 10.1038/ng.3862
   Sapkota A, 2020, JAMA NETW OPEN, V3, DOI 10.1001/jamanetworkopen.2020.7551
   Semenchuk PR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/125006
   SOUTHWOOD TRE, 1961, J ANIM ECOL, V30, P1, DOI 10.2307/2109
   Team RC, 2021, R LANGUAGE ENV STAT
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   van Asch M, 2007, ANNU REV ENTOMOL, V52, P37, DOI 10.1146/annurev.ento.52.110405.091418
   Wickham, 2016, GGPLOT2 ELEGANT GRAP
NR 52
TC 0
Z9 0
U1 2
U2 10
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1752-9921
EI 1752-993X
J9 J PLANT ECOL
JI J. Plant Ecol.
PD APR 1
PY 2024
VL 17
IS 2
AR rtae008
DI 10.1093/jpe/rtae008
EA MAR 2024
PG 13
WC Plant Sciences; Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry
GA KL1D4
UT WOS:001180016200002
OA hybrid
DA 2025-01-10
ER

PT J
AU Yang, MJ
   Wang, GL
   Sun, Y
   You, LZ
   Anyah, R
AF Yang, Meijian
   Wang, Guiling
   Sun, Ying
   You, Liangzhi
   Anyah, Richard
TI Water stress dominates the projected maize yield changes in Ethiopia
SO GLOBAL AND PLANETARY CHANGE
LA English
DT Article
DE Maize yield projection; Water stress; Heat stress; Climate change;
   DSSAT; Downscaling and bias-correction
ID CLIMATE-CHANGE IMPACTS; BIAS CORRECTION; PERFORMANCE
AB In Ethiopia, a highly food-insecure nation, traditional agriculture faces significant climate change challenges. Long-term food security planning and famine prevention efforts require a comprehensive assessment of how crop yield might change in the future across the whole Ethiopia at a spatial scale usable and useful for local decision making. In this study we aimed to assess future climate-induced maize yield changes in Ethiopia and identify the primary stress factor that limit regional agricultural productivity using a high-resolution process-based crop model (DSSAT) forced by multiple regional climate projections from CORDEX-Africa under the Representative Concentration Pathway 8.5. The climate projections were statistically downscaled and bias-corrected for local relevance before used as input to the crop model. It was found that without technology advancement and management practice changes, climate change would cause the Ethiopian maize yield to decrease from-1400 kg/ha in present day climate to-900 kg/ha by late century, primarily due to increased water stress during critical growth stages caused by changing precipitation patterns and rising temperatures. While the most productive regions may suffer significant yield losses, some less productive areas might become more suitable for maize cultivation, indicating a possible spatial shift in agricultural productivity. These findings should be considered in developing climate adaptation strategies at the individual farming communities, national, and international levels. Climate change will offset at least some of the yield boosting power of agricultural technologies in Ethiopia and challenge the future food security of a growing population.
C1 [Yang, Meijian; Wang, Guiling] Univ Connecticut, Ctr Environm Sci & Engn, Dept Civil & Environm Engn, Storrs, CT 06269 USA.
   [Yang, Meijian; Sun, Ying] Cornell Univ, Sch Integrat Plant Sci, Soil & Crop Sci Sect, Ithaca, NY 14850 USA.
   [You, Liangzhi] Int Food Policy Res Inst, Washington, DC 20005 USA.
   [You, Liangzhi] Huazhong Agr Univ, Macro Agr Res Inst, Coll Econ & Management, Wuhan 430070, Hubei, Peoples R China.
   [Anyah, Richard] Univ Connecticut, Dept Nat Resources & Environm, Storrs, CT 06269 USA.
   [Wang, Guiling] 261 Glenbrook Rd, Storrs, CT 06269 USA.
C3 University of Connecticut; Cornell University; CGIAR; International Food
   Policy Research Institute (IFPRI); Huazhong Agricultural University;
   University of Connecticut
RP Wang, GL (corresponding author), 261 Glenbrook Rd, Storrs, CT 06269 USA.
EM guiling.wang@uconn.edu
RI Sun, Ying/G-6611-2016
OI You, Liangzhi/0000-0001-7930-8814; Wang, Guiling/0000-0002-9744-2563
FU National Science Foundation (NSF), USA [1545874]
FX This paper is partially based upon work supported by the National
   Science Foundation (NSF), USA [grant number 1545874]. The authors thank
   the two anonymous reviewers for their constructive comments and
   suggestions.
CR Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   Abera K., 2018, Environ. Syst. Res, V7, P4, DOI DOI 10.1186/S40068-018-0107-Z
   Ahmed KF, 2013, GLOBAL PLANET CHANGE, V100, P320, DOI 10.1016/j.gloplacha.2012.11.003
   Araya A, 2015, AGR FOREST METEOROL, V214, P252, DOI 10.1016/j.agrformet.2015.08.259
   Beck HE, 2017, HYDROL EARTH SYST SC, V21, P589, DOI 10.5194/hess-21-589-2017
   Brown PT, 2017, NATURE, V552, P45, DOI 10.1038/nature24672
   CSA, 2019, Stat. Bull., VI
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Degife AW, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01773-3
   Dosio A., 2018, PESETA III-Task1: Climate change projections, bias-adjustment, and selection of model runs, DOI DOI 10.2760/44883
   Erfanian A, 2017, GEOPHYS RES LETT, V44, P3290, DOI 10.1002/2017GL073053
   Fahad S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01147
   Gbegbelegbe S, 2017, FIELD CROP RES, V202, P122, DOI 10.1016/j.fcr.2016.06.010
   Giorgi F., 2009, WMO Bulletin, V5
   Giorgi F, 2019, J GEOPHYS RES-ATMOS, V124, P5696, DOI 10.1029/2018JD030094
   Giorgi F, 2015, ANNU REV ENV RESOUR, V40, P467, DOI 10.1146/annurev-environ-102014-021217
   Gutowski WJ, 2016, GEOSCI MODEL DEV, V9, P4087, DOI 10.5194/gmd-9-4087-2016
   Hansen J, 2000, P NATL ACAD SCI USA, V97, P9875, DOI 10.1073/pnas.170278997
   HarvestChoice, 2015, HarvardDataverse, V3
   He D, 2017, AGR FOREST METEOROL, V234, P136, DOI 10.1016/j.agrformet.2016.12.015
   Hoogenboom G., 2012, DECIS SUPPORT SYST
   Hoogenboom G., 2017, Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.7
   International Research Institute for Climate and Society (IRI), 2015, HarvardDataverse, V2
   Jägermeyr J, 2021, NAT FOOD, V2, P875, DOI 10.1038/s43016-021-00400-y
   Jiang TC, 2022, AGR FOREST METEOROL, V319, DOI 10.1016/j.agrformet.2022.108933
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Kassaye AY, 2021, THEOR APPL CLIMATOL, V145, P327, DOI 10.1007/s00704-021-03635-8
   Kassie BT, 2015, CLIMATIC CHANGE, V129, P145, DOI 10.1007/s10584-014-1322-x
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Kothiyal S, 2023, THEOR APPL CLIMATOL, V151, P329, DOI 10.1007/s00704-022-04291-2
   Leng GY, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7b24
   Lesk C, 2021, NAT FOOD, V2, P683, DOI 10.1038/s43016-021-00341-6
   Liang YX, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086757
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Maitah M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89962-2
   Manzanas R, 2018, CLIM DYNAM, V50, P1161, DOI 10.1007/s00382-017-3668-z
   Marenya P, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0274262
   Masson-Delmotte V., 2018, IPCC SPECIAL REPORT, V5, P43
   Maurer EP, 2010, HYDROL EARTH SYST SC, V14, P1125, DOI 10.5194/hess-14-1125-2010
   Miao CY, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/055007
   Mohammed A, 2022, ENVIRON SUSTAIN IND, V15, DOI 10.1016/j.indic.2022.100185
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Muluneh A, 2020, J ARID ENVIRON, V179, DOI 10.1016/j.jaridenv.2020.104195
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Pierce DW, 2014, J HYDROMETEOROL, V15, P2558, DOI 10.1175/JHM-D-14-0082.1
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Rettieid FM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262951
   Roberts MJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7f33
   Saddique Q, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11080843
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Shepherd TG, 2014, NAT GEOSCI, V7, P703, DOI 10.1038/NGEO2253
   Tao F, 2020, AGR FOREST METEOROL, V281, DOI 10.1016/j.agrformet.2019.107851
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vogel E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab154b
   Wang GL, 2020, J HYDROMETEOROL, V21, P2739, DOI 10.1175/JHM-D-19-0275.1
   Wang XH, 2020, NAT SUSTAIN, V3, P908, DOI 10.1038/s41893-020-0569-7
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Wootten A., 2018, US CLIVAR VARIAT, V16, P8, DOI [10.5065/D62N513R, DOI 10.5065/D62N513R]
   Worku M., 2012, M CHALLENGES GLOBAL
   Xie SP, 2015, NAT CLIM CHANGE, V5, P921, DOI [10.1038/nclimate2689, 10.1038/NCLIMATE2689]
   Yang MJ, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.137893
   Yasin M, 2022, ENVIRON SCI POLLUT R, V29, P18967, DOI 10.1007/s11356-021-17050-z
   Zachariah M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab93fc
   Zhu P, 2019, GLOBAL CHANGE BIOL, V25, P2470, DOI 10.1111/gcb.14632
NR 67
TC 5
Z9 5
U1 4
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8181
EI 1872-6364
J9 GLOBAL PLANET CHANGE
JI Glob. Planet. Change
PD SEP
PY 2023
VL 228
AR 104216
DI 10.1016/j.gloplacha.2023.104216
EA AUG 2023
PG 15
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA R8QO3
UT WOS:001066949200001
OA Bronze
DA 2025-01-10
ER

PT J
AU Raposa, KB
   Woolfolk, A
   Endris, CA
   Fountain, MC
   Moore, G
   Tyrrell, M
   Swerida, R
   Lerberg, S
   Puckett, BJ
   Ferner, MC
   Hollister, J
   Burdick, DM
   Champlin, L
   Krause, JR
   Haines, D
   Gray, AB
   Watson, EB
   Wasson, K
AF Raposa, Kenneth B.
   Woolfolk, Andrea
   Endris, Charlie A.
   Fountain, Monique C.
   Moore, Gregg
   Tyrrell, Megan
   Swerida, Rebecca
   Lerberg, Scott
   Puckett, Brandon J.
   Ferner, Matthew C.
   Hollister, Jeffrey
   Burdick, David M.
   Champlin, Lena
   Krause, Johannes R.
   Haines, Dustin
   Gray, Andrew B.
   Watson, Elizabeth B.
   Wasson, Kerstin
TI Evaluating Thin-Layer Sediment Placement as a Tool for Enhancing Tidal
   Marsh Resilience: a Coordinated Experiment Across Eight US National
   Estuarine Research Reserves
SO ESTUARIES AND COASTS
LA English
DT Article
DE Tidal marsh; Sediment addition; Sea-level rise; Resilience; National
   Estuarine Research Reserves
ID SEA-LEVEL RISE; SALT-MARSH; CLIMATE-CHANGE; CARBON; ACCRETION;
   RESPONSES; BIOCHAR; IMPACTS; VULNERABILITY; STABILITY
AB Thin-layer sediment placement (TLP) is a promising management tool for enhancing tidal marsh resilience to rising seas. We conducted a 3-year experiment at eight US National Estuarine Research Reserves using a standardized implementation protocol and subsequent monitoring to evaluate effects of sediment placement on vegetation in low and high marsh, and compared this to control and reference plots. Sediments added to experimental plots were sourced from nearby quarries, were sandier than ambient marsh soils, and had more crab burrowing, but proved effective, suggesting that terrestrial sources can be used for tidal marsh restoration. We found strong differences among sites but detected general trends across the eight contrasting systems. Colonization by marsh plants was generally rapid following sediment addition, such that TLP plot cover was similar to control plots. While we found that 14-cm TLP plots were initially colonized more slowly than 7-cm plots, this difference largely disappeared after three years. In the face of accelerated sea-level rise, we thus recommend adding thicker sediment layers. Despite rapid revegetation, TLP plots did not approximate vegetation characteristics of higher elevation reference plots. Thus, while managers can expect fairly fast revegetation at TLP sites, the ultimate goal of achieving reference marsh conditions may be achieved slowly if at all. Vegetation recovered rapidly in both high and low marsh; thus, TLP can serve as a climate adaptation strategy across the marsh landscape. Our study illustrates the value of conducting experiments across disparate geographies and provides restoration practitioners with guidance for conducting future TLP projects.
C1 [Raposa, Kenneth B.] Narragansett Bay Natl Estuarine Res Reserve, POB 151, Prudence Isl, RI 02872 USA.
   [Woolfolk, Andrea; Fountain, Monique C.; Wasson, Kerstin] Elkhorn Slough Natl Estuarine Res Reserve, Watsonville, CA USA.
   [Endris, Charlie A.] Moss Landing Marine Labs, 8272 Moss Landing Rd, Moss Landing, CA USA.
   [Moore, Gregg; Burdick, David M.] Univ New Hampshire, Jackson Estuarine Lab, Durham, NH USA.
   [Tyrrell, Megan] Waquoit Bay Natl Estuarine Res Reserve, 131 Waquoit Highway, East Falmouth, MA USA.
   [Swerida, Rebecca] Chesapeake Bay MD Natl Estuarine Res Reserve, 580 Taylor Ave, Annapolis, MD USA.
   [Lerberg, Scott] William & Mary, Chesapeake Bay VA Natl Estuarine Res Reserve, Virginia Inst Marine Sci, 1375 Great Rd, Gloucester Point, VA USA.
   [Puckett, Brandon J.] North Carolina Coastal Reserve & Natl Estuarine R, 101 Pivers Isl Rd, Beaufort, NC USA.
   [Ferner, Matthew C.] San Francisco Bay Natl Estuarine Res Reserve, 3150 Paradise Dr, Tiburon, CA USA.
   [Ferner, Matthew C.] San Francisco State Univ, 3150 Paradise Dr, Tiburon, CA USA.
   [Hollister, Jeffrey] US Environm Protect Agcy, Atlantic Ecol Div, Narragansett, RI USA.
   [Champlin, Lena; Krause, Johannes R.; Watson, Elizabeth B.] Drexel Univ, Acad Nat Sci, 1900 Benjamin Franklin Pkwy, Philadelphia, PA USA.
   [Krause, Johannes R.] Florida Int Univ, 11200 SW 8Th St, Miami, FL USA.
   [Haines, Dustin] Lake Super Natl Estuarine Res Reserve, Superior, WI USA.
   [Gray, Andrew B.] Univ Calif Riverside, 900 Univ Dr, Riverside, CA USA.
C3 Moss Landing Marine Laboratories; University System Of New Hampshire;
   University of New Hampshire; William & Mary; Virginia Institute of
   Marine Science; California State University System; San Francisco State
   University; United States Environmental Protection Agency; Drexel
   University; State University System of Florida; Florida International
   University; University of California System; University of California
   Riverside
RP Raposa, KB (corresponding author), Narragansett Bay Natl Estuarine Res Reserve, POB 151, Prudence Isl, RI 02872 USA.
EM kenneth.raposa@dem.ri.gov
RI Watson, Elizabeth/N-1638-2019; Krause, Johannes/LTD-0092-2024; Champlin,
   Lena/LPP-6747-2024; Haines, Dustin/M-9950-2014
OI Watson, Elizabeth/0000-0002-8496-1647; Krause,
   Johannes/0000-0001-5721-6353; Haines, Dustin/0000-0003-2087-3899;
   Champlin, Lena/0000-0002-1195-4278; Ferner, Matthew/0000-0002-4862-9663
FU USDA NIFA Hatch project [CA-R-ENS-5120-H]; USDA Multi-State Project
   [W4188]; National Estuarine Research Reserve System Science
   Collaborative; National Oceanic and Atmospheric Administration
FX A. Gray's activity on this project was supported in part by USDA NIFA
   Hatch project number CA-R-ENS-5120-H and USDA Multi-State Project W4188.
   This work was sponsored by the National Estuarine Research Reserve
   System Science Collaborative, which supports collaborative research that
   addresses coastal management problems important to the reserves. The
   Science Collaborative is funded by the National Oceanic and Atmospheric
   Administration and managed by the University of Michigan Water Center.
CR Allison SK, 1996, AM MIDL NAT, V136, P232, DOI 10.2307/2426728
   Angelini C, 2018, OECOLOGIA, V187, P205, DOI 10.1007/s00442-018-4112-8
   Beheshti K, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0249330
   Berkowitz J.F., 2020, TR201 ERDCEL US ARM
   Brophy LS, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0218558
   Butzeck C, 2015, ESTUAR COAST, V38, P434, DOI 10.1007/s12237-014-9848-8
   Cahoon DR, 2019, ESTUAR COAST, V42, P1, DOI 10.1007/s12237-018-0448-x
   Cornu CE, 2002, RESTOR ECOL, V10, P474, DOI 10.1046/j.1526-100X.2002.01035.x
   Coverdale TC, 2013, FRONT ECOL ENVIRON, V11, P69, DOI 10.1890/120130
   Croft AL, 2006, ESTUARIES COASTS, V29, P737, DOI 10.1007/BF02786525
   DELAUNE RD, 1990, J COASTAL RES, V6, P181
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Drake K, 2015, ENVIRON MANAGE, V56, P998, DOI 10.1007/s00267-015-0568-z
   Estes L, 2018, NAT ECOL EVOL, V2, P819, DOI 10.1038/s41559-018-0524-4
   Fang YY, 2015, SOIL BIOL BIOCHEM, V80, P136, DOI 10.1016/j.soilbio.2014.10.006
   Fraser LH, 2013, FRONT ECOL ENVIRON, V11, P147, DOI 10.1890/110279
   Ganju NK, 2019, ESTUAR COAST, V42, P917, DOI 10.1007/s12237-019-00531-3
   Gedan KB, 2009, ANNU REV MAR SCI, V1, P117, DOI 10.1146/annurev.marine.010908.163930
   Gedan KB, 2011, CLIMATIC CHANGE, V106, P7, DOI 10.1007/s10584-010-0003-7
   Gellie NJC, 2018, FRONT ECOL ENVIRON, V16, P288, DOI 10.1002/fee.1810
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   He Q, 2016, ECOL MONOGR, V86, P278, DOI 10.1002/ecm.1221
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Karl TR, 2003, SCIENCE, V302, P1719, DOI 10.1126/science.1090228
   Kennish MJ, 2001, J COASTAL RES, V17, P731
   Kent M., 1992, Vegetation description and analysis: a practical approach
   Kirwan ML, 2016, NAT CLIM CHANGE, V6, P253, DOI 10.1038/NCLIMATE2909
   Kirwan ML, 2013, NATURE, V504, P53, DOI 10.1038/nature12856
   Koo BJ, 2019, ESTUAR COAST SHELF S, V228, DOI 10.1016/j.ecss.2019.106366
   Krause JR, 2020, WETLANDS, V40, P1539, DOI 10.1007/s13157-019-01254-8
   La Peyre MK, 2009, ESTUAR COAST, V32, P390, DOI 10.1007/s12237-008-9126-8
   Liang B, 2006, SOIL SCI SOC AM J, V70, P1719, DOI 10.2136/sssaj2005.0383
   Liu ZZ, 2020, J ENVIRON MANAGE, V274, DOI 10.1016/j.jenvman.2020.111110
   Luo XX, 2016, ECOL ENG, V94, P329, DOI 10.1016/j.ecoleng.2016.06.004
   Mariotti G, 2016, J GEOPHYS RES-EARTH, V121, P1391, DOI 10.1002/2016JF003900
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Mendelssohn IA, 2003, ECOL ENG, V21, P115, DOI 10.1016/j.ecoleng.2003.09.006
   Molino GD, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.616319
   Moore GE, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0245564
   Moore G.E., 2009, REGIONAL ASSESSMENT
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Nelson J., 2020, GUIDANCE THIN LAYER
   Nyman JA, 2006, ESTUAR COAST SHELF S, V69, P370, DOI 10.1016/j.ecss.2006.05.041
   Osland MJ, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abo5174
   Pan F, 2022, J HAZARD MATER, V437, DOI 10.1016/j.jhazmat.2022.129380
   Payne AR, 2021, J COASTAL RES, V37, P771, DOI [10.2112/JCOASTRES-D-20-00072.1, 10.2112/jcoastres-d-20-00072.1]
   Peng DJ, 2019, J GEOPHYS RES-OCEANS, V124, P736, DOI 10.1029/2018JC014695
   Raposa K., 2020, Guidance for thin-layer sediment placement as a strategy to enhance tidal marsh resilience to sea-level rise
   Raposa KB, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.939870
   Raposa KB, 2018, ESTUAR COAST, V41, P36, DOI 10.1007/s12237-017-0220-7
   Ray G.L., 2007, THIN LAYER DISPOSAL
   Reimold R.J., 1978, The effects of smothering a Spartina alterniflora salt marsh with dredged material
   Roman CT, 1997, ESTUAR COAST SHELF S, V45, P717, DOI 10.1006/ecss.1997.0236
   Runting RK, 2017, GLOBAL CHANGE BIOL, V23, P28, DOI 10.1111/gcb.13457
   Schröter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233
   Slocum MG, 2005, ESTUARIES, V28, P519, DOI 10.1007/BF02696063
   Smith EP, 2020, ESTUAR COAST, V43, P1, DOI 10.1007/s12237-019-00679-y
   Stagg CL, 2010, RESTOR ECOL, V18, P10, DOI 10.1111/j.1526-100X.2010.00718.x
   Takaya CA, 2016, CHEMOSPHERE, V145, P518, DOI 10.1016/j.chemosphere.2015.11.052
   Thomsen AS, 2022, ESTUAR COAST, V45, P523, DOI 10.1007/s12237-021-00977-4
   Thorne KM, 2019, ECOL ENG, V136, P197, DOI 10.1016/j.ecoleng.2019.05.011
   VanZomeren CM, 2018, ECOL ENG, V120, P61, DOI 10.1016/j.ecoleng.2018.05.012
   Walker JB, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3244
   Walters DC, 2016, ECOL EVOL, V6, P2948, DOI 10.1002/ece3.2024
   Wasson K, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2813
   Wigand C, 2017, ESTUAR COAST, V40, P682, DOI 10.1007/s12237-015-0003-y
   Wilbur P., 1992, ENV EFFECTS DREDGING
NR 67
TC 6
Z9 7
U1 1
U2 21
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1559-2723
EI 1559-2731
J9 ESTUAR COAST
JI Estuaries Coasts
PD MAY
PY 2023
VL 46
IS 3
BP 595
EP 615
DI 10.1007/s12237-022-01161-y
EA JAN 2023
PG 21
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA HE6I8
UT WOS:000913121200003
DA 2025-01-10
ER

PT J
AU Soni, A
   Jose, J
   Kingsley, GA
AF Soni, Anmol
   Jose, Justina
   Kingsley, Gordon A.
TI When cities take control: Explaining the diversity of complex local
   climate actionsPalabras Clave(sic)(sic)(sic)
SO REVIEW OF POLICY RESEARCH
LA English
DT Article
DE adaptation; cities; climate action mix; climate change; climate hazards;
   mitigation
ID CHANGE ADAPTATION; SUBNATIONAL CLIMATE; POLICY; MITIGATION; ADOPTION;
   IMPLEMENTATION; MANAGEMENT; GOVERNMENT; RISK; GOVERNANCE
AB Cities face substantial risks of economic and physical losses from repeated exposure to climate hazards exacerbated by climate change. Drawing from the climate action and policy mix literatures, this study conceptualizes "climate action mix" defined as the diverse policy actions adopted by city governments to adapt to and mitigate the effects of climate hazards. This study makes a key contribution by analyzing the relation between the variety of hazards and the diversity of cities' climate action mixes. Deploying a modified Shannon diversity index, we develop a new measure of climate action mix by considering the breadth across different actions, and the depth of these efforts as measured by the progress along the policy cycle. We study an expansive range of mitigation and adaptation actions without imposing any domain or jurisdictional limitations in 162 cities across the United States. The analysis reveals a bifurcation in approaches where some cities have not adopted any policies, while others have a diverse mix of adaptation and mitigation actions in various stages of policy progression. We find that climate hazards drive local action-cities that experience multiple threats react by taking a diverse mix of climate actions. Cities broadly utilize global climate networks that offer policy learning opportunities and local networks that might promote a shared understanding of environmental threats leading to diverse climate action mixes. Finally, a city's capacity to develop climate adaptation and mitigation plans is positively related to a diverse portfolio of climate actions.
C1 [Soni, Anmol] Louisiana State Univ, Dept Publ Adm, Baton Rouge, LA USA.
   [Jose, Justina] San Diego State Univ, Sch Publ Affairs, San Diego, CA USA.
   [Kingsley, Gordon A.] Georgia Inst Technol, Sch Publ Policy, Atlanta, GA USA.
   [Soni, Anmol] Louisiana State Univ, 3047 Business Educ Complex East,501 South Quad Dr, Baton Rouge, LA 70808 USA.
C3 Louisiana State University System; Louisiana State University;
   California State University System; San Diego State University;
   University System of Georgia; Georgia Institute of Technology; Louisiana
   State University System; Louisiana State University
RP Soni, A (corresponding author), Louisiana State Univ, 3047 Business Educ Complex East,501 South Quad Dr, Baton Rouge, LA 70808 USA.
EM anmolsoni@lsu.edu
OI Jose, Justina/0000-0001-8866-1011; Soni, Anmol/0000-0001-9193-5220
CR Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Aylett A., 2014, Progress and Challenges in the Urban Governance of Climate Change Results of a Global Survey
   Bae J, 2013, URBAN STUD, V50, P776, DOI 10.1177/0042098012450481
   Bauer A, 2014, GEOFORUM, V51, P121, DOI 10.1016/j.geoforum.2013.10.006
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Birkland T., 2016, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.001.0001/acrefore-9780199389407-e-75, DOI 10.1093/ACREFORE/9780199389407.001.0001/ACREFORE-9780199389407-E-75]
   Birkland T.A., 2016, Oxford research encyclopedia of natural hazard science
   Bouma JA, 2019, J ENVIRON ECON POLIC, V8, P32, DOI 10.1080/21606544.2018.1494636
   Brandtner C, 2021, AM REV PUBLIC ADM, V51, P121, DOI 10.1177/0275074020930362
   Brooks N., 2003, Tyndall Centre for Climate Change Research, DOI DOI 10.1086/379713
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   CDP ICLEI, 2020, 2019 FULL CIT DAT
   Columbia Law School, 2022, CLIM DER TRACK
   Corradini M, 2018, ENERG POLICY, V120, P73, DOI 10.1016/j.enpol.2018.04.068
   Crow DA, 2021, DISASTERS, V45, P19, DOI 10.1111/disa.12396
   Crow DA, 2018, REV POLICY RES, V35, P564, DOI 10.1111/ropr.12297
   Daley DM, 2013, CITYSCAPE, V15, P143
   Daniels RJ, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P1
   Del Rio P., 2013, 1301 LK YEW SCH PUBL
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   Domorenok E., 2021, POLICY SCI, V54, P1
   Feiock RC, 2017, J PUBL ADM RES THEOR, V27, P615, DOI 10.1093/jopart/mux021
   Fekete H, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110602
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Gerlak AK, 2018, CLIM RISK MANAG, V19, P12, DOI 10.1016/j.crm.2017.12.003
   Giordono L, 2021, CURR OPIN ENV SUST, V52, P118, DOI 10.1016/j.cosust.2021.10.002
   Giordono L, 2020, POLICY SCI, V53, P609, DOI 10.1007/s11077-020-09401-3
   Grafakos S., 2018, Climate Change and Cities eds, P101, DOI DOI 10.1017/9781316563878.011
   Grafakos S, 2019, CLIMATIC CHANGE, V154, P87, DOI 10.1007/s10584-019-02394-w
   Granberg M, 2007, LOCAL ENVIRON, V12, P537, DOI 10.1080/13549830701656911
   Gurney RM, 2021, ENVIRON SCI POLICY, V116, P96, DOI 10.1016/j.envsci.2020.06.023
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hawkins CV, 2016, URBAN STUD, V53, P1902, DOI 10.1177/0042098015580898
   Heikkinen M, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120474
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   Hughes S, 2018, REV POLICY RES, V35, P192, DOI 10.1111/ropr.12285
   Iwan WD, 1999, SCIENCE, V284, P1943
   Ji HJ, 2021, POLICY SCI, V54, P95, DOI 10.1007/s11077-020-09411-1
   Ji HJ, 2022, REGUL GOV, V16, P910, DOI 10.1111/rego.12334
   Ji H, 2018, PUBLIC MANAG REV, V20, P154, DOI 10.1080/14719037.2017.1293147
   Jones BD, 2005, POLITICS ATTENTION G
   Kalafatis SE, 2018, POLICY STUD J, V46, P700, DOI 10.1111/psj.12206
   Kammerer M, 2018, POLICY SCI, V51, P477, DOI 10.1007/s11077-018-9332-6
   Kern F, 2009, POLICY SCI, V42, P391, DOI 10.1007/s11077-009-9099-x
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Koski C, 2016, REV POLICY RES, V33, P270, DOI 10.1111/ropr.12173
   Krause RM, 2019, PUBLIC ADMIN REV, V79, P477, DOI 10.1111/puar.13025
   Krause RM, 2012, REV POLICY RES, V29, P585, DOI 10.1111/j.1541-1338.2012.00582.x
   Krause RM, 2012, URBAN STUD, V49, P2399, DOI 10.1177/0042098011427183
   Landauer M, 2019, J ENVIRON PLANN MAN, V62, P741, DOI 10.1080/09640568.2018.1430022
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lee T, 2012, POLICY SCI, V45, P199, DOI 10.1007/s11077-012-9159-5
   Lesnikowski A, 2021, ENVIRON POLIT, V30, P753, DOI 10.1080/09644016.2020.1814045
   Levin K, 2012, POLICY SCI, V45, P123, DOI 10.1007/s11077-012-9151-0
   Lubell M, 2009, J AM PLANN ASSOC, V75, P293, DOI 10.1080/01944360902952295
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Miao Q, 2018, TRANSPORT RES D-TR E, V63, P421, DOI 10.1016/j.trd.2018.06.005
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Nagel M, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100502
   Neij L, 2021, J CLEAN PROD, V317, DOI 10.1016/j.jclepro.2021.128348
   Nohrstedt D, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31059-z
   Pattison A, 2018, REV POLICY RES, V35, P535, DOI 10.1111/ropr.12303
   Ray A, 2017, GLOBAL ENVIRON CHANG, V46, P104, DOI 10.1016/j.gloenvcha.2017.07.002
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Rogge KS, 2016, RES POLICY, V45, P132, DOI 10.1016/j.respol.2016.04.004
   Ryan D, 2015, CLIMATIC CHANGE, V131, P519, DOI 10.1007/s10584-015-1402-6
   Schmidt TS, 2019, RES POLICY, V48, DOI 10.1016/j.respol.2018.03.012
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI DOI 10.1002/J.1538-7305.1948.TB01338.X
   Sharp EB, 2011, URBAN AFF REV, V47, P433, DOI 10.1177/1078087410392348
   Solecki W, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.616
   Steffen B, 2019, CLIM POLICY, V19, P908, DOI 10.1080/14693062.2019.1599804
   Susskind L, 2022, CLIM POLICY, V22, P593, DOI 10.1080/14693062.2021.1874860
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Tanner Thomas., 2009, IDS Work. Pap
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   Veugelers R, 2012, RES POLICY, V41, P1770, DOI 10.1016/j.respol.2012.06.012
   Watts M, 2017, NAT CLIM CHANGE, V7, P537, DOI 10.1038/nclimate3358
   West Virginia Et Al. V. Environmental Protection Agency Et Al, 2022, SUPREME COURT US
   World Bank, KEY TERMS CLIM DIS R
   Yeganeh AJ, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100547
   Zhang FX, 2018, J PUBL ADM RES THEOR, V28, P371, DOI 10.1093/jopart/muy004
NR 86
TC 4
Z9 4
U1 3
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1541-132X
EI 1541-1338
J9 REV POLICY RES
JI Rev. Policy Res.
PD NOV
PY 2023
VL 40
IS 6
BP 1026
EP 1057
DI 10.1111/ropr.12524
EA DEC 2022
PG 32
WC Political Science; Public Administration
WE Social Science Citation Index (SSCI)
SC Government & Law; Public Administration
GA Y2BT7
UT WOS:000893797900001
DA 2025-01-10
ER

PT J
AU Geng, XL
   Zhang, D
   Li, CW
   Yuan, Y
   Yu, ZW
   Wang, XR
AF Geng, Xiaolei
   Zhang, Dou
   Li, Chengwei
   Yuan, Yuan
   Yu, Zhaowu
   Wang, Xiangrong
TI Impacts of climatic zones on urban heat island: Spatiotemporal
   variations, trends, and drivers in China from 2001-2020
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban heat island; Climatic zone; Day; night seasonal and annual
   variation; Potential driver; Random forest model
ID TEMPORAL TRENDS; SURFACE; CITIES; INTENSITY; PATTERN
AB Urban heat island (UHI) adversely impacts the human-earth system. However, the impact of climatic zones on UHI remains unclear. This study, therefore, aimed at investigating how climatic zones affect spatiotemporal variations, trends and potential drivers of surface UHI intensity (SUHII) based upon 253 Chinese cities in five climatic zones: middle temperate zone (MTZ), south temperate zone (STZ), north subtropical zone (NSZ), middle subtropical zone (MSZ), and south subtropical zone (SSZ) during 2001-2020. The results showed that the SUHII ranged from-2.59 to 6.20 degrees C, average daytime SUHII showed higher seasonal fluctuations and larger variation than nighttime and summer daytime had the highest seasonal and annual SUHII variation (SUHIISAV). Cities in NSZ, MSZ, and SSZ had high average daytime SUHIISAV and a large proportion had significant increasing trends (TrendSI) (P<0.05) from 2001-2020, while the nighttime showed opposite rule in general. Random forest (RF) model explained 68% of day/night SUHIISAV on average. Except for city area, which greatly impacted day/night SUHIISAV in all periods and climatic zones, other drivers more significantly influenced SUHII in certain periods and climatic zones, e.g. aerosol optical depth (AOD) in winter nighttime in MTZ and STZ. Compared with single or serval drivers' determination of UHI effect, we highlighted the multi-factor driven of day/night SUHIISAV. Specific suggestions, e.g. controlling haze pollution can bring co-benefits on urban air quality and UHI mitigation were proposed. These findings could help to provide valuable reference for future climatic adaptive strategy.
C1 [Geng, Xiaolei; Zhang, Dou; Li, Chengwei; Yuan, Yuan; Yu, Zhaowu; Wang, Xiangrong] Fudan Univ, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China.
C3 Fudan University
RP Wang, XR (corresponding author), Fudan Univ, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China.
EM xrxrwang@fudan.edu.cn
RI Li, Chengwei/KHW-3636-2024; , Zhaowu/E-8032-2016; yuan,
   yuan/GQZ-0389-2022
OI Li, Chengwei/0000-0002-0208-512X; Yuan, Yuan/0009-0005-0332-4961
FU National Key Research and Devel- opment Program of China; National
   Natural Science Foundation of China; Scientific and Innovative Action
   Plan of Shanghai; Shanghai Pujiang Program; Shanghai Key Lab for Urban
   Ecological Processes and Eco-Restoration;  [2016YFC0502700]; 
   [42171093];  [21ZR1408500];  [21PJ1401600];  [SHUES2021A02]
FX Acknowledgements This work was supported by the National Key Research
   and Devel- opment Program of China (Grand No. 2016YFC0502700) , the
   National Natural Science Foundation of China (Grant No. 42171093) ,
   Scientific and Innovative Action Plan of Shanghai (Grant No.
   21ZR1408500) , Shanghai Pujiang Program (Grant No. 21PJ1401600) and
   Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration
   (Grant No. SHUES2021A02) .; we also thank anonymous reviewers for their
   constructive comments and suggestions.
CR Amorim MCDT, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100918
   Anniballe R, 2014, REMOTE SENS ENVIRON, V150, P163, DOI 10.1016/j.rse.2014.05.005
   Biggart M, 2021, ATMOS CHEM PHYS, V21, P13687, DOI 10.5194/acp-21-13687-2021
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Brozovsky J, 2021, RENEW SUST ENERG REV, V138, DOI 10.1016/j.rser.2020.110551
   Cao C, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12509
   Cheng MH, 2021, EARTH SYST SCI DATA, V13, P3995, DOI 10.5194/essd-13-3995-2021
   China meteorological administration, 2022, BLUE BOOK CLIM CHANG
   Clinton N, 2013, REMOTE SENS ENVIRON, V134, P294, DOI 10.1016/j.rse.2013.03.008
   Demuzere M, 2022, EARTH SYST SCI DATA, V14, P3835, DOI 10.5194/essd-14-3835-2022
   El Ghazouani L, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5030067
   Feng RD, 2021, ENVIRON INT, V157, DOI 10.1016/j.envint.2021.106857
   Gabriel Y. O., 2022, SCI TOTAL ENVIRON, V815, P1
   Garcia DH, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100840
   Gregorutti B, 2017, STAT COMPUT, V27, P659, DOI 10.1007/s11222-016-9646-1
   Grömping U, 2009, AM STAT, V63, P308, DOI 10.1198/tast.2009.08199
   Halder B, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103186
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Jato-Espino D, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101427
   Jin K, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102488
   Kim S. W., 2021, RENEWABLE SUSTAINABL, V148, P1
   Kim SW, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146389
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li XM, 2017, SCI TOTAL ENVIRON, V605, P426, DOI 10.1016/j.scitotenv.2017.06.229
   Liu K, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120141
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Masoudi M, 2019, LANDSCAPE URBAN PLAN, V184, P44, DOI 10.1016/j.landurbplan.2018.10.023
   Meng QY, 2018, REMOTE SENS ENVIRON, V204, P826, DOI 10.1016/j.rse.2017.09.019
   Monteiro FF, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100726
   Morabito M., 2020, SCI TOTAL ENVIRON, V751, P1
   Ngarambe J, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102953
   Ngarambe J, 2021, J HAZARD MATER, V403, DOI 10.1016/j.jhazmat.2020.123615
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Peng SJ, 2019, ECOL INDIC, V96, P127, DOI 10.1016/j.ecolind.2018.08.059
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Peng XX, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104018
   Ren T, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148334
   Rodriguez R. L., 2022, SCI TOTAL ENVIRON, V22, P1
   Schwarz N, 2011, REMOTE SENS ENVIRON, V115, P3175, DOI 10.1016/j.rse.2011.07.003
   Siddiqui A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103374
   Stewart ID, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002178
   Su H., 2021, SUSTAIN CITIES SOC, V74, P1
   Tetali S, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103568
   Ulpiani G, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141727
   Doan VQ, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101479
   Venter ZS, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb9569
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Wang J, 2022, AGR FOREST METEOROL, V322, DOI 10.1016/j.agrformet.2022.109021
   [王阳 Wang Yang], 2021, [生态学报, Acta Ecologica Sinica], V41, P4288
   Xu JL, 2022, EARTH SYST SCI DATA, V14, P2315, DOI 10.5194/essd-14-2315-2022
   Yang QQ, 2019, SCI TOTAL ENVIRON, V655, P652, DOI 10.1016/j.scitotenv.2018.11.171
   Yao R, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145607
   Yao R, 2018, J ENVIRON MANAGE, V222, P86, DOI 10.1016/j.jenvman.2018.05.024
   Yu ZW, 2019, SCI TOTAL ENVIRON, V674, P242, DOI 10.1016/j.scitotenv.2019.04.088
   [张秀 Zhang Xiu], 2021, [生态学报, Acta Ecologica Sinica], V41, P8965
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhao M, 2022, EARTH SYST SCI DATA, V14, P517, DOI 10.5194/essd-14-517-2022
   [郑景云 ZHENG Jingyun], 2010, [地理学报, Acta Geographica Sinica], V65, P3
   Zhou DC, 2014, REMOTE SENS ENVIRON, V152, P51, DOI 10.1016/j.rse.2014.05.017
NR 60
TC 52
Z9 52
U1 14
U2 109
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 2023
VL 89
AR 104303
DI 10.1016/j.scs.2022.104303
EA NOV 2022
PG 12
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 7Z5TV
UT WOS:000915622400005
DA 2025-01-10
ER

PT J
AU Xia, CH
   Yao, TD
   Hou, HW
   Wang, PL
AF Xia, Cuihui
   Yao, Tandong
   Hou, Haowen
   Wang, Pengling
TI Mixed Impact of Climate Change on Cold Season Residential Electricity: A
   Case Study of Lanzhou and Lhasa
SO FRONTIERS IN EARTH SCIENCE
LA English
DT Article
DE climate impact; cold-season; precipitation; residential electricity
   consumption; machine learning; heating
ID ENERGY-CONSUMPTION
AB Extreme weather induced by climate change has triggered large-scale power outages worldwide, particularly during the cold season. More insight into the climatic impacts (especially those of precipitation) on cold season residential electricity consumption (REC) is needed. This study quantified the climatic impacts on REC, with a focus on precipitation, and projected the associated changes under representative concentration pathways (RCPs) 2.6, 4.5, and 8.5 climate change scenarios in Lanzhou and Lhasa, two cities in China with distinctive cold season climates. The climatic impacts on REC in both cities are driven by heating-related demand. A stronger precipitation impact during the cold season was observed in both cities, since precipitation (particularly snowfall) boosts electricity consumption during the cold season. As the two cities become warmer and wetter, increased precipitation will offset the impact of warming on REC, with Lanzhou being more strongly affected. Based on the projections for Lanzhou, the offsetting effect will be more pronounced during the cold season across all scenarios, and will be particularly strong under RCP 2.6. For the remainder of the year, the effects of increased precipitation and warming will have competing importances under the RCP 4.5 scenario, whereas temperature effects will generally dominate the climatic impacts under the RCP 8.5 scenario. These results provide new insights for future cold season climate-energy studies and can be used to improve regional climate adaptation policies. We also propose a method to project climate-based REC changes which is compatible with potential early-warning projects to protect against extreme weather-induced power outages.
C1 [Xia, Cuihui; Yao, Tandong] Chinese Acad Sci, Inst Tibetan Plateau Res, Big Sci Program Ctr, Beijing, Peoples R China.
   [Xia, Cuihui] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Yao, Tandong] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface Pr, Beijing, Peoples R China.
   [Hou, Haowen] Tencent AI Platform Dept, Shenzhen, Peoples R China.
   [Wang, Pengling] China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Tibetan Plateau Research, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS; Chinese Academy of Sciences; Institute of Tibetan Plateau Research,
   CAS; China Meteorological Administration
RP Xia, CH (corresponding author), Chinese Acad Sci, Inst Tibetan Plateau Res, Big Sci Program Ctr, Beijing, Peoples R China.; Xia, CH (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.
EM xiacuihui@itpcas.ac.cn
RI Wang, Pengling/B-5991-2017
OI Xia, Cuihui/0000-0002-5648-5014
CR ALTMAN NS, 1992, AM STAT, V46, P175, DOI 10.2307/2685209
   Amrhein V, 2019, NATURE, V567, P305, DOI 10.1038/d41586-019-00857-9
   [Anonymous], 2022, Aljazeera
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Auffhammer M, 2014, ENERG ECON, V46, P522, DOI 10.1016/j.eneco.2014.04.017
   Auffhammer M, 2011, CLIMATIC CHANGE, V109, P191, DOI [10.1007/s10584-011-0299-y, 10.1007/s10584-011-0299-v]
   Azodi CB, 2020, TRENDS GENET, V36, P442, DOI 10.1016/j.tig.2020.03.005
   Breiman L, 2001, STAT SCI, V16, P199, DOI 10.1214/ss/1009213726
   Breiman L., 2017, Classification and Regression Trees, DOI 10.1201/9781315139470
   Brownlee J., 2016, Machine Learning Mastery
   Busby JW, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102106
   Chi-Chih Yao A., 1977, 18th Annual Symposium on Foundations of Computer Science, P222
   Cohen J, 2014, NAT GEOSCI, V7, P627, DOI [10.1038/ngeo2234, 10.1038/NGEO2234]
   CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1007/BF00994018
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   Deschênes O, 2011, AM ECON J-APPL ECON, V3, P152, DOI 10.1257/app.3.4.152
   Du KR, 2020, CHINA ECON REV, V63, DOI 10.1016/j.chieco.2020.101520
   Fan JL, 2017, RENEW SUST ENERG REV, V75, P220, DOI 10.1016/j.rser.2016.10.066
   Frederiks ER, 2015, ENERGIES, V8, P573, DOI 10.3390/en8010573
   Friedman J, 2001, Springer Series in Statistics, DOI DOI 10.1007/978-0-387-21606-5
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Friedman JH, 2003, STAT MED, V22, P1365, DOI 10.1002/sim.1501
   Geurts P, 2006, MACH LEARN, V63, P3, DOI 10.1007/s10994-006-6226-1
   Goldstein A, 2015, J COMPUT GRAPH STAT, V24, P44, DOI 10.1080/10618600.2014.907095
   Hu S, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf9395
   K‚gl B, 2013, Arxiv, DOI [arXiv:1312.6086, 10.48550/arXiv.1312.6086, DOI 10.48550/ARXIV.1312.6086]
   Lei Z., 2020, FUTURE CLIMATE PROJE
   Li YT, 2019, P NATL ACAD SCI USA, V116, P472, DOI 10.1073/pnas.1804667115
   Mason L, 2000, ADV NEUR IN, V12, P512
   Mehdiyev N., 2020, P 28 EUROPEAN C INFO
   Mideksa TK, 2010, ENERG POLICY, V38, P3579, DOI 10.1016/j.enpol.2010.02.035
   Molnar C., 2020, INTERPRETABLE MACHIN
   Nordhaus WD, 2017, P NATL ACAD SCI USA, V114, P1518, DOI 10.1073/pnas.1609244114
   Pan XD, 2020, EARTH SPACE SCI, V7, DOI 10.1029/2019EA000819
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Strahler A., 2011, Introducing Physical Geography
   Strobl C, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-25
   Tin Kam Ho, 1995, Proceedings of the Third International Conference on Document Analysis and Recognition, P278, DOI 10.1109/ICDAR.1995.598994
   Waite M, 2017, ENERGY, V127, P786, DOI 10.1016/j.energy.2017.03.095
   Xia C., 2021, IMPACT CLIMATE CHANG
   Xia CH, 2022, ENERGIES, V15, DOI 10.3390/en15093355
   Yao TD, 2019, B AM METEOROL SOC, V100, P423, DOI 10.1175/BAMS-D-17-0057.1
   Yao TD, 2013, REV GEOPHYS, V51, DOI 10.1002/rog.20023
   Zhang MY, 2020, ENERG POLICY, V140, DOI 10.1016/j.enpol.2020.111398
   Zhao QY, 2021, J BUS ECON STAT, V39, P272, DOI 10.1080/07350015.2019.1624293
   Zheng X, 2020, POWER UTILITIES ASKE
NR 46
TC 2
Z9 2
U1 3
U2 16
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
J9 FRONT EARTH SC-SWITZ
JI Front. Earth Sci.
PD JUL 22
PY 2022
VL 10
AR 908259
DI 10.3389/feart.2022.908259
PG 14
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA 3O8RU
UT WOS:000837102700001
OA gold
DA 2025-01-10
ER

PT J
AU Wu, WB
   Yu, ZW
   Ma, J
   Zhao, B
AF Wu, Wan-Ben
   Yu, Zhao-Wu
   Ma, Jun
   Zhao, Bin
TI Quantifying the influence of 2D and 3D urban morphology on the thermal
   environment across climatic zones
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Surface urban heat island; 3D urban characteristics; Landscape metrics;
   Climate adaptation; Climate background
ID LAND-SURFACE TEMPERATURE; HEAT-ISLAND; AIR-TEMPERATURE; MITIGATION;
   COVER; LANDSCAPE; IMPACTS; AREAS; CITY
AB Urban heat islands (UHIs) exert a substantially negative impact on human health and urban sustainability. The role of two-dimensional (2D) landscape patterns in UHIs are well documented; while the effects and contributions of three-dimensional (3D) urban structures remain unclear, especially across different climatic zones. Here we investigated the relationship between 2D/3D urban morphology and the urban thermal environment in summer and winter during the day and at night in 62 representative large cities across four major climate zones in China. First, we extracted the seasonal surface regional heat island intensity (SRHII) using the MODIS 8-Day land surface temperature product. Subsequently, we constructed 25 2D and five 3D urban features and explored their relative importance and respective roles in UHIs in different climatic contexts. Results show that: (1) significant differences (p < 0.05) exist in SRHII between various climate zones; cities with a humid subtropical climate experience temperatures approximately 2 degrees C higher during the day in summer compared to those with the other climate types. (2) 3D urban features can effectively improve the interpretation of urban features for SRHII, with an average optimization level of 21%. (3) Urban trees have a higher cooling effect than other green spaces, whereas tall buildings can also reduce the UHI effect. (4) On summer days, equal proportions of tree to building volume provide the greatest cooling effects. This study provides new insights into the effect of 3D urban characteristics on SRHII and has promising implications for climate resilience planning and heat-related risk management
C1 [Wu, Wan-Ben; Ma, Jun; Zhao, Bin] Fudan Univ, Minist Educ, Natl Observat & Res Stn Wetland Ecosyst Yangtze Es, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China.
   [Wu, Wan-Ben; Ma, Jun; Zhao, Bin] Fudan Univ, Shanghai Inst EcoChongming SIEC, Shanghai 200433, Peoples R China.
   [Yu, Zhao-Wu] Fudan Univ, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China.
C3 Fudan University; Fudan University; Fudan University
RP Zhao, B (corresponding author), Fudan Univ, Minist Educ, Natl Observat & Res Stn Wetland Ecosyst Yangtze Es, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China.; Zhao, B (corresponding author), Fudan Univ, Shanghai Inst EcoChongming SIEC, Shanghai 200433, Peoples R China.; Yu, ZW (corresponding author), Fudan Univ, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China.
EM wbwu19@fudan.edu.cn; zhaowu_yu@fudan.edu.cn; ma_jun@fudan.edu.cn;
   zhaobin@fudan.edu.cn
RI , Zhaowu/E-8032-2016
OI Wu, Wanben/0000-0002-0581-9774
FU National Key Research and Development Project of China [2021YFE0193100,
   2018YFD0900806]; European Union [821016]; Science and Technology
   Commission of Shanghai [19DZ1203405]; National Natural Science
   Foundation of China [42171093]; Scientific and Innovative Action Plan of
   Shanghai [21ZR1408500]; Shanghai Pujiang Program [21PJ1401600]; Shanghai
   Key Lab for Urban Ecological Processes and Eco-Restoration
   [SHUES2021A02]; China Scholarship Council [202106100112]; H2020 Societal
   Challenges Programme [821016] Funding Source: H2020 Societal Challenges
   Programme
FX This research was supported by the National Key Research and Development
   Project of China (grant numbers: 2021YFE0193100, 2018YFD0900806) ,
   European Union's Horizon 2020 research and innovation program (Grant No.
   821016) , the Science and Technology Commission of Shanghai (grant
   number: 19DZ1203405) , the National Natural Science Foundation of China
   (grant number: 42171093) , Scientific and Innovative Action Plan of
   Shanghai (grant number: 21ZR1408500) , Shanghai Pujiang Program (grant
   number: 21PJ1401600) , Shanghai Key Lab for Urban Ecological Processes
   and Eco-Restoration (grant number: SHUES2021A02) and China Scholarship
   Council (grant no. 202106100112) .
CR Anees M, 2015, PROCED EARTH PLAN SC, V13, P291, DOI 10.1016/j.proeps.2015.07.068
   [Anonymous], 2016, Boosted Regression Trees for ecological modeling
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Berger C, 2017, REMOTE SENS ENVIRON, V193, P225, DOI 10.1016/j.rse.2017.02.020
   Chen AL, 2014, URBAN FOR URBAN GREE, V13, P646, DOI 10.1016/j.ufug.2014.07.006
   Chen L, 2012, INT J CLIMATOL, V32, P121, DOI 10.1002/joc.2243
   Chen SZ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-92271-3
   Corbane C, 2021, NEURAL COMPUT APPL, V33, P6697, DOI 10.1007/s00521-020-05449-7
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Du HY, 2016, SCI TOTAL ENVIRON, V571, P461, DOI 10.1016/j.scitotenv.2016.07.012
   Fan C, 2015, PROG PHYS GEOG, V39, P199, DOI 10.1177/0309133314567583
   Firozjaei MK, 2020, REMOTE SENS ENVIRON, V242, DOI 10.1016/j.rse.2020.111751
   Friedman JH, 2002, COMPUT STAT DATA AN, V38, P367, DOI 10.1016/S0167-9473(01)00065-2
   GALLO KP, 1993, INT J REMOTE SENS, V14, P2223, DOI 10.1080/01431169308954031
   Geng XL, 2022, SCI TOTAL ENVIRON, V823, DOI 10.1016/j.scitotenv.2022.153806
   Gong P, 2019, SCI BULL, V64, P370, DOI 10.1016/j.scib.2019.03.002
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Guo GH, 2016, ENVIRON MODELL SOFTW, V84, P427, DOI 10.1016/j.envsoft.2016.06.021
   Haashemi S, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8040352
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Henits L, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-5779-8
   Hu YF, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110424
   Huang GL, 2016, LANDSCAPE ECOL, V31, P2507, DOI 10.1007/s10980-016-0437-z
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Kikon N, 2016, SUSTAIN CITIES SOC, V22, P19, DOI 10.1016/j.scs.2016.01.005
   Kim H, 2018, SUSTAIN CITIES SOC, V41, P841, DOI 10.1016/j.scs.2018.06.021
   Li HF, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108132
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Li XM, 2017, SCI TOTAL ENVIRON, V605, P426, DOI 10.1016/j.scitotenv.2017.06.229
   Li XM, 2012, LANDSCAPE ECOL, V27, P887, DOI 10.1007/s10980-012-9731-6
   Li XC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be3
   Liu M, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104187
   Lix LM, 1996, REV EDUC RES, V66, P579, DOI 10.2307/1170654
   Meng QY, 2018, REMOTE SENS ENVIRON, V204, P826, DOI 10.1016/j.rse.2017.09.019
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Nakayama T, 2011, ENVIRON POLLUT, V159, P2164, DOI 10.1016/j.envpol.2010.11.016
   Nastran M, 2019, URBAN FOR URBAN GREE, V37, P33, DOI 10.1016/j.ufug.2018.01.008
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Pal S, 2017, EGYPT J REMOTE SENS, V20, P125, DOI 10.1016/j.ejrs.2016.11.003
   Peng J, 2016, REMOTE SENS ENVIRON, V173, P145, DOI 10.1016/j.rse.2015.11.027
   Potapov P, 2021, REMOTE SENS ENVIRON, V253, DOI 10.1016/j.rse.2020.112165
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Shahraiyni HT, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8080643
   Shephard JM, 2005, EARTH INTERACT, V9
   Steeneveld GJ, 2014, LANDSCAPE URBAN PLAN, V121, P92, DOI 10.1016/j.landurbplan.2013.09.001
   Tian YY, 2019, LANDSCAPE ECOL, V34, P1161, DOI 10.1007/s10980-019-00834-7
   Tiangco M, 2008, INT J REMOTE SENS, V29, P2799, DOI 10.1080/01431160701408360
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang YY, 2018, SCI TOTAL ENVIRON, V631-632, P921, DOI 10.1016/j.scitotenv.2018.03.050
   Yang QQ, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdaed
   Yao L, 2020, URBAN FOR URBAN GREE, V52, DOI 10.1016/j.ufug.2020.126704
   Yu SY, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138229
   Yu ZW, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103135
   Yu ZW, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13061127
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Yu ZW, 2021, LANDSCAPE ECOL, V36, P2165, DOI 10.1007/s10980-020-00982-1
   Yusuf YA, 2014, J INDIAN SOC REMOTE, V42, P829, DOI 10.1007/s12524-013-0342-8
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zheng Z, 2019, PHYS CHEM EARTH, V110, P149, DOI 10.1016/j.pce.2019.01.008
NR 59
TC 72
Z9 74
U1 71
U2 368
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD OCT
PY 2022
VL 226
AR 104499
DI 10.1016/j.landurbplan.2022.104499
EA JUN 2022
PG 11
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA 3A4XU
UT WOS:000827265400003
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Migliorini, D
   Luchi, N
   Nigrone, E
   Pecori, F
   Pepori, AL
   Santini, A
AF Migliorini, Duccio
   Luchi, Nicola
   Nigrone, Emanuele
   Pecori, Francesco
   Pepori, Alessia Lucia
   Santini, Alberto
TI Expansion of Ash Dieback towards the scattered Fraxinus excelsior range
   of the Italian peninsula
SO BIOLOGICAL INVASIONS
LA English
DT Article
DE Hymenoscyphus fraxineus; Common ash; Central Italy; Disease spread
ID PATHOGEN HYMENOSCYPHUS-FRAXINEUS; CHALARA-FRAXINEA; 1ST REPORT;
   POPULATION-STRUCTURE; HYPOXYLON CANKER; ELM CLONES; PSEUDOALBIDUS; DNA;
   ANGUSTIFOLIA; INFECTION
AB Hymenoscyphus fraxineus, causal agent of Ash Dieback, has posed a threat to Fraxinus excelsior (common ash) in Europe since the 1990s. In south-western Europe, optimal climatic conditions for H. fraxineus become scattered and host density decreases, reducing disease spread rates. To date, the Ash Dieback agent has not been reported from southern and most of central Italy, where native F. excelsior is present as small fragmented populations. This study examines the expansion of Ash Dieback into central Italy, and it considers the consequences of further local spread with regards to the loss of F. excelsior genetic resource. Symptomatic F. excelsior were sampled from sixteen sites in northern and central Italy during 2020. Specimens were analyzed with a culturomics and a quantitative PCR approach. A bibliographic search of F. excelsior floristic reports was conducted for the creation of a detailed range map. The combined use of both techniques confirmed the presence of H. fraxineus in all the sites of central Italy where host plants were symptomatic. These new records represent the southern limit of the current known distribution of this pathogen in Italy, and together with Montenegro, in Europe. The characterization of the F. excelsior scattered range suggests that further spread of Ash Dieback across southern Italy is a realistic scenario. This presents a threat not just to the southern European proveniences of F. excelsior, but to the species as a whole, should Ash Dieback lead to the loss of warm climate adapted genetic material, which may become increasingly valuable under climate change.
C1 [Migliorini, Duccio; Luchi, Nicola; Nigrone, Emanuele; Pecori, Francesco; Pepori, Alessia Lucia; Santini, Alberto] Natl Res Council IPSP CNR, Inst Sustainable Plant Protect, Via Madonna del Piano 10, I-50019 Florence, Italy.
C3 Consiglio Nazionale delle Ricerche (CNR); Istituto per la Protezione
   Sostenibile delle Piante (IPSP-CNR)
RP Migliorini, D (corresponding author), Natl Res Council IPSP CNR, Inst Sustainable Plant Protect, Via Madonna del Piano 10, I-50019 Florence, Italy.
EM duccio.migliorini@ipsp.cnr.it
RI Pepori, Alessia Lucia/IUP-6890-2023; Pecori, Francesco/ABG-9935-2021;
   Santini, Alberto/Q-2655-2015
OI Pecori, Francesco/0000-0002-6577-7190; Pepori, Alessia
   Lucia/0000-0002-9184-7965; Santini, Alberto/0000-0002-7955-9207
FU European Commission Horizon 2020 Research and Innovation Programme
   'HOlistic Management of Emerging forest pests and Diseases' (HOMED)
   [771271]
FX This study was funded by European Commission Horizon 2020 Research and
   Innovation Programme 'HOlistic Management of Emerging forest pests and
   Diseases' (HOMED) (Grant No 771271).
CR Ahrens CW, 2019, EVOL APPL, V12, P1178, DOI 10.1111/eva.12796
   Anonymous, 2013, Bulletin OEPP, V43, P449, DOI 10.1111/epp.12061
   [Anonymous], 2010, JB BAUMPFLEGE
   Bakys R, 2009, PLANT PATHOL, V58, P284, DOI 10.1111/j.1365-3059.2008.01977.x
   Barberis G., 2014, INF BOT ITAL, V46, P267
   Baric L, 2012, SUMAR LIST, V136, P461
   BRUCK RI, 1980, CAN J FOREST RES, V10, P17, DOI 10.1139/x80-004
   Burokiene D, 2015, BIOL INVASIONS, V17, P2743, DOI 10.1007/s10530-015-0911-6
   Caudullo G, 2017, DATA BRIEF, V12, P662, DOI 10.1016/j.dib.2017.05.007
   Chandelier A, 2011, PLANT DIS, V95, P220, DOI 10.1094/PDIS-07-10-0540
   Dal Maso E., 2014, FOR RES, DOI 10.4172/2168-9776.1000131
   Davydenko K, 2013, FOREST PATHOL, V43, P462, DOI 10.1111/efp.12055
   De Natale A., 2004, INF BOT ITAL, V36, P29
   Drenkhan R, 2017, PLANT PATHOL, V66, P490, DOI 10.1111/ppa.12588
   Drenkhan R, 2015, PLANT PROTECT SCI, V51, P150, DOI 10.17221/89/2014-PPS
   Enderle R., 2019, CAB REV PERSPECT AGR, DOI 10.1079/PAVSNNR201914025
   Ghelardini L., 2017, Dieback of European Ash (Fraxinus spp.) - consequences and guidelines for sustainable management, P140
   Ghelardini L, 2006, CAN J FOREST RES, V36, P1982, DOI 10.1139/X06-092
   Gil W., 2017, Dieback of European Ash (Fraxinus spp.) - consequences and guidelines for sustainable management, P176
   Giongo S, 2017, IFOREST, V10, P871, DOI 10.3832/ifor2486-010
   Grosdidier M, 2018, FOREST PATHOL, V48, DOI 10.1111/efp.12426
   Grosdidier M, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy049
   Grosdidier M, 2020, J ECOL, V108, P1789, DOI 10.1111/1365-2745.13383
   Gross, 2013, REPROD SYSTEM POPULA
   GROSS A, 2015, MYCOL PROG
   Gross A, 2014, MOL ECOL, V23, P2943, DOI 10.1111/mec.12792
   Han JG, 2014, MYCOBIOLOGY, V42, P391, DOI 10.5941/MYCO.2014.42.4.391
   Hauptman T, 2013, FOREST PATHOL, V43, P360, DOI 10.1111/efp.12038
   Heuertz M, 2004, MOL ECOL, V13, P3437, DOI 10.1111/j.1365-294X.2004.02333.x
   Heuertz M, 2006, MOL ECOL, V15, P2131, DOI 10.1111/j.1365-294X.2006.02897.x
   Heuertz M, 2004, EVOLUTION, V58, P976
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Husson C, 2011, EUR J PLANT PATHOL, V130, P311, DOI 10.1007/s10658-011-9755-9
   Ioos R, 2009, EUR J PLANT PATHOL, V125, P329, DOI 10.1007/s10658-009-9471-x
   Junker C, 2014, FOREST PATHOL, V44, P39, DOI 10.1111/efp.12066
   Kádasi-Horáková M, 2017, BALT FOR, V23, P52
   Keca N, 2017, BALT FOR, V23, P56
   Kirisits T, 2010, PLANT PATHOL, V59, P411, DOI 10.1111/j.1365-3059.2009.02162.x
   Kirisits T., 2012, Journal of Agricultural Extension and Rural Development, V4, P230, DOI [10.5897/JAERD12.057, DOI 10.5897/JAERD12.057]
   Kowalski T, 2009, FOREST PATHOL, V39, P1, DOI 10.1111/j.1439-0329.2008.00565.x
   Kowalski T, 2006, FOREST PATHOL, V36, P264, DOI 10.1111/j.1439-0329.2006.00453.x
   Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
   Laivins Maris, 2016, Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences, V70, P124, DOI 10.1515/prolas-2016-0020
   Longauerova V., 2017, Dieback of European Ash (Fraxinus spp.) - consequences and guidelines for sustainable management, P209
   Luchi N, 2016, PLANT DIS, V100, P535, DOI 10.1094/PDIS-09-15-0975-PDN
   MANION PD, 1986, PLANT DIS, V70, P803, DOI 10.1094/PD-70-803
   Marigo G, 2000, TREES-STRUCT FUNCT, V15, P1, DOI 10.1007/s004680000061
   Migliorini D, 2020, MYCOKEYS, P87, DOI 10.3897/mycokeys.73.53028
   Milenkovic I, 2017, FOREST PATHOL, V47, DOI 10.1111/efp.12359
   Newton M.A., 1999, Statistics in molecular biology and genetics, P143
   Orton ES, 2018, PLANT PATHOL, V67, P255, DOI 10.1111/ppa.12762
   Pastircáková K, 2020, FORESTS, V11, DOI 10.3390/f11050596
   Pautasso M, 2013, BIOL CONSERV, V158, P37, DOI 10.1016/j.biocon.2012.08.026
   Pesaresi S, 2014, J MAPS, V10, P538, DOI 10.1080/17445647.2014.891472
   Przybylski P, 2020, SYLWAN, V164, P404, DOI 10.26202/sylwan.2020036
   Queloz V, 2011, FOREST PATHOL, V41, P133, DOI 10.1111/j.1439-0329.2010.00645.x
   Rosati L., 2010, Fitosociologia (Pavia), V47, P17
   Rytkönen A, 2011, FOREST PATHOL, V41, P169, DOI 10.1111/j.1439-0329.2010.00647.x
   Sansford CE, 2013, PEST RISK AN HYM PSE
   Santini A, 2005, FOREST PATHOL, V35, P183, DOI 10.1111/j.1439-0329.2005.00401.x
   Santini A., 1997, Journal of Genetics and Breeding, V51, P269
   Santini A, 2010, FOREST ECOL MANAG, V260, P1017, DOI 10.1016/j.foreco.2010.06.025
   Schicchi R., 2011, BIOGEOGR J INTEGR BI, DOI 10.21426/b630110595
   Schoebel CN, 2014, INFECT GENET EVOL, V28, P78, DOI 10.1016/j.meegid.2014.09.001
   Stecher G, 2020, MOL BIOL EVOL, V37, P1237, DOI 10.1093/molbev/msz312
   TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
   Timmermann V., 2011, Bulletin OEPP, V41, P14, DOI 10.1111/j.1365-2338.2010.02429.x
   Tzedakis PC, 2002, SCIENCE, V297, P2044, DOI 10.1126/science.1073083
   White TJ., 1990, PCR protocols: a guide to methods and applications, V18, P315, DOI DOI 10.1016/B978-0-12-372180-8.50042-1
   Zheng HD, 2014, MYCOL PROG, V13, P625, DOI 10.1007/s11557-013-0945-z
NR 70
TC 7
Z9 7
U1 1
U2 15
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-3547
EI 1573-1464
J9 BIOL INVASIONS
JI Biol. Invasions
PD MAY
PY 2022
VL 24
IS 5
BP 1359
EP 1373
DI 10.1007/s10530-021-02716-z
EA JAN 2022
PG 15
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 0W2UA
UT WOS:000740150600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Liu, WB
   Sun, FB
   Feng, Y
   Li, C
   Chen, J
   Sang, YF
   Zhang, Q
AF Liu, Wenbin
   Sun, Fubao
   Feng, Yao
   Li, Chao
   Chen, Jie
   Sang, Yan-Fang
   Zhang, Qiang
TI Increasing population exposure to global warm-season concurrent dry and
   hot extremes under different warming levels
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE concurrent dry and hot extreme; population exposure; anthropogenic
   warming; CMIP6; global scale
ID DEGREES-C; DROUGHT; EVENTS; TEMPERATURE; PRECIPITATION; RISK
AB Projecting future changes in concurrent dry and hot extremes (CDHEs) and the subsequent socio-economic risks (e.g. population exposure) is critical for climate adaptation and water management under different warming targets. However, to date, this aspect remains poorly understood on both global and regional scales. In this study, the changes in future CDHEs and their population exposures under 1.5 degrees C, 2 degrees C, and 3 degrees C warming were quantified using a Standardized Dry and Hot Index calculated based on the newly released Coupled Model Intercomparison Project Phase 5 climate model outputs and global population datasets. It was found that relative to the baseline period (1986-2005), the severity of CDHEs would increase on the global scale and in most regions, such as in Southern Europe, the Mediterranean, Sahara, West Africa, Central America, Mexico, the Amazon, and the west coast of South America under 1.5 degrees C, 2 degrees C, and 3 degrees C of warming. Stabilizing the warming at 1.5 degrees C would constrain the adverse influence of CDHEs on the population suffering from severe CDHEs in most regions (especially in Central Europe, Southern Europe, the Mediterranean, Eastern North America, West Asia, East Asia, and Southeast Asia). Globally, the population impacted by severe CDHEs (with a constant 2000 population) would increase by 108 and 266 million (149 and 367 million when constant 2080 population is applied) for 2 degrees C and 3 degrees C increase compared to a 1.5 degrees C increase. These findings provide scientific evidence of the benefit of limiting anthropogenic warming to 1.5 degrees C in terms of the socio-economic risks related to CDHEs.
C1 [Liu, Wenbin; Sun, Fubao; Feng, Yao; Sang, Yan-Fang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China.
   [Sun, Fubao] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China.
   [Sun, Fubao] Akesu Natl Stn Observat, Res Oasis Agro Ecosyst, Akesu, Peoples R China.
   [Li, Chao] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai, Peoples R China.
   [Chen, Jie] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Peoples R China.
   [Zhang, Qiang] Beijing Normal Univ, Key Lab Environm Change & Natl Disaster, Minist Educ, Beijing, Peoples R China.
   [Liu, Wenbin; Sun, Fubao] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; Xinjiang Institute
   of Ecology & Geography, CAS; East China Normal University; Wuhan
   University; Beijing Normal University; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Sun, FB (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China.; Sun, FB (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China.; Sun, FB (corresponding author), Akesu Natl Stn Observat, Res Oasis Agro Ecosyst, Akesu, Peoples R China.; Sun, FB (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
EM sunfb@igsnrr.ac.cn
RI Sun, Fubao/Q-2421-2019; Feng, Yao/ADO-7371-2022; Liu,
   Wenbin/AAB-2665-2021; Sang, Yan-Fang/I-8277-2016
OI Sang, Yan-Fang/0000-0001-6770-9311
FU National Natural Science Foundation of China [42025104, 42022005];
   National Key Research and Development Program of China [2019YFA0606903];
   Program for the 'Kezhen-Bingwei' Youth Talents from the Institute of
   Geographic Sciences and Natural Resources Research, Chinese Academy of
   Sciences [2020RC004]; Top-Notch Yong Talents Program of China
FX This study was supported by the National Natural Science Foundation of
   China (42025104 and 42022005), the National Key Research and Development
   Program of China (2019YFA0606903), the Program for the 'Kezhen-Bingwei'
   Youth Talents (2020RC004) from the Institute of Geographic Sciences and
   Natural Resources Research, Chinese Academy of Sciences and the
   Top-Notch Yong Talents Program of China (Fubao Sun). We also appreciate
   helpful comments from the editor and two anonymous reviewers.
CR AghaKouchak A, 2015, REV GEOPHYS, V53, P452, DOI 10.1002/2014RG000456
   Alizadeh MR, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz4571
   Baldwin JW, 2019, EARTHS FUTURE, V7, P411, DOI 10.1029/2018EF000989
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Chen HP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab072e
   Coffel ED, 2019, EARTHS FUTURE, V7, P967, DOI 10.1029/2019EF001247
   De Luca P, 2020, EARTH SYST DYNAM, V11, P793, DOI 10.5194/esd-11-793-2020
   Diffenbaugh NS, 2019, P NATL ACAD SCI USA, V116, P9808, DOI 10.1073/pnas.1816020116
   Diffenbaugh NS, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao3354
   Dosio A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab827
   Feng Y, 2021, INT J CLIMATOL, V41, pE1085, DOI 10.1002/joc.6755
   Gallant AJE, 2014, J CLIMATE, V27, P1379, DOI 10.1175/JCLI-D-12-00783.1
   GRINGORTEN II, 1963, J GEOPHYS RES, V68, P813, DOI 10.1029/JZ068i003p00813
   Gu L, 2020, HYDROL EARTH SYST SC, V24, P451, DOI 10.5194/hess-24-451-2020
   Hao ZC, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124410
   Hao ZC, 2019, J HYDROL, V572, P243, DOI 10.1016/j.jhydrol.2019.03.001
   Hao ZC, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaee96
   Hao ZC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034014
   Harris IC., 2020, CTR ENV DATA ANAL
   Huang SZ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06302-z
   Ionita M, 2017, HYDROL EARTH SYST SC, V21, P1397, DOI 10.5194/hess-21-1397-2017
   IPCC, 2012, PRESS RELEASE MANAGI, DOI [10.1596/978-0-8213-8845-7, DOI 10.1596/978-0-8213-8845-7]
   IPCC Special Report, 2018, GLOB WARM 1 5
   Jones B, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084003
   Jones B., 2020, **DATA OBJECT**, DOI [10.7927/m30p-j498, DOI 10.7927/M30P-J498]
   Kim YH, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100269
   Lehner F, 2017, GEOPHYS RES LETT, V44, P7419, DOI 10.1002/2017GL074117
   Li C, 2021, J CLIMATE, V34, P3441, DOI 10.1175/JCLI-D-19-1013.1
   Liu WB, 2019, SCI BULL, V64, P567, DOI 10.1016/j.scib.2019.03.007
   Liu WB, 2019, SCI TOTAL ENVIRON, V672, P201, DOI 10.1016/j.scitotenv.2019.03.408
   Liu WB, 2018, GEOPHYS RES LETT, V45, P9803, DOI 10.1029/2018GL078789
   Liu WB, 2018, EARTH SYST DYNAM, V9, P267, DOI 10.5194/esd-9-267-2018
   Lu Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-34215-y
   Manning C, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab23bf
   Maraun D, 2016, CURR CLIM CHANGE REP, V2, P211, DOI 10.1007/s40641-016-0050-x
   Mazdiyasni O, 2015, P NATL ACAD SCI USA, V112, P11484, DOI 10.1073/pnas.1422945112
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Mishra V, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0113-5
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Russo S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08070-4
   Schleussner CF, 2016, EARTH SYST DYNAM, V7, P327, DOI 10.5194/esd-7-327-2016
   Seneviratne SI, 2014, NAT CLIM CHANGE, V4, P161, DOI 10.1038/nclimate2145
   Shiogama H, 2020, EARTH SYST DYNAM, V11, P435, DOI 10.5194/esd-11-435-2020
   Sun FB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009829
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang ZL, 2017, SCI REP-UK, V7, DOI 10.1038/srep46432
   Weber T, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001473
   Wu XY, 2021, INT J CLIMATOL, V41, P5766, DOI 10.1002/joc.7152
   Wu XY, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124580
   Yang Y, 2020, ATMOS RES, V244, DOI 10.1016/j.atmosres.2020.105057
   Zhang BQ, 2019, WATER RESOUR RES, V55, P9258, DOI 10.1029/2019WR025529
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094021
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
   Zscheischler J, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700263
NR 56
TC 40
Z9 40
U1 4
U2 94
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD SEP
PY 2021
VL 16
IS 9
AR 094002
DI 10.1088/1748-9326/ac188f
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA TZ3NL
UT WOS:000684382400001
OA gold
DA 2025-01-10
ER

PT J
AU Andenæs, E
   Engebo, A
   Time, B
   Lohne, J
   Torp, O
   Kvande, T
AF Andenaes, Erlend
   Engebo, Atle
   Time, Berit
   Lohne, Jardar
   Torp, Olav
   Kvande, Tore
TI Perspectives on Quality Risk in the Building Process of Blue-Green Roofs
   in Norway
SO BUILDINGS
LA English
DT Article
DE risk; blue-green roof; building process; quality risk; climate
   adaptation
ID DESIGN; ATTITUDES
AB As climate change brings an increase in torrential rain events in Nordic climates, new technologies are developed to manage stormwater. Blue-green roofs are constructed as a means to reduce the runoff of stormwater from roofs and reduce the risk of urban flooding. However, compared to conventional roofs, blue-green roofs represent different construction and operation conditions, which may affect the long-term integrity of the roof. The purpose of this research is to understand the variety of perspectives on how different actors perceive and manage quality risks related to blue-green roofs-that is, the probabilities and consequences of defects. The quality risks of blue-green roofs have been investigated through document studies and interviews with actors in the Norwegian building sector. Data have been collected from actors across the building sector to map differences in how risk is managed from several perspectives. The findings show that actors view quality risk in very different ways. While building owners are primarily concerned with the quality of the finished product, the primary concern of other involved actors may be to ensure that eventual defects cannot be attributed to their own activities. The efforts of the various actors to reduce the risks in their own activities may not necessarily reduce the risk of defects in roofs. To ensure a more comprehensive management of quality risk in blue-green roofs, it is necessary to consider the perspectives and incentives of all involved actors. This way, a framework could be developed as a feasible tool in blue-green roof projects.
C1 [Andenaes, Erlend; Engebo, Atle; Time, Berit; Lohne, Jardar; Torp, Olav; Kvande, Tore] Norwegian Univ Sci & Technol, Dept Civil & Environm Engn, N-7491 Trondheim, Norway.
C3 Norwegian University of Science & Technology (NTNU)
RP Andenæs, E (corresponding author), Norwegian Univ Sci & Technol, Dept Civil & Environm Engn, N-7491 Trondheim, Norway.
EM erlend.andenas@ntnu.no; atle.engebo@ntnu.no; berit.time@sintef.no;
   jardar.lohne@ntnu.no; olav.torp@ntnu.no; tore.kvande@ntnu.no
RI Lohne, Jardar/HGA-4028-2022; Torp, Olav/AAQ-6143-2020
OI Kvande, Tore/0000-0003-0522-9974; Time, Berit/0000-0002-3506-6494; Torp,
   Olav/0000-0002-1916-5097; Lohne, Jardar/0000-0002-2135-3468; Andenaes,
   Erlend/0000-0002-8732-0925
FU Research Council of Norway [237859]
FX This research was funded by the Research Council of Norway, grant number
   237859.
CR Aljassmi H, 2013, J CONSTR ENG M, V139, P870, DOI 10.1061/(ASCE)CO.1943-7862.0000653
   Anden s E., 2019, P 11 INT C CITC 11
   Andenaes E., 2019, P 27 ANN C INT GROUP, P97
   Andenaes E, 2018, BUILDINGS-BASEL, V8, DOI 10.3390/buildings8040055
   Andenas E., 2019, IOP Conference Series: Earth and Environmental Science, V290, DOI 10.1088/1755-1315/290/1/012069
   Andenas E., 2020, E3S WEB C, V172, P21010, DOI [10.1051/e3sconf/202017221010, DOI 10.1051/E3SCONF/202017221010]
   Andersen ES, 2012, INT J MANAG PROJ BUS, V5, P67, DOI 10.1108/17538371211192900
   [Anonymous], 2013, 137072013 NSEN
   [Anonymous], 2010, 84012010 NS
   [Anonymous], 2012, ROYAL NORW MIN LOC G
   [Anonymous], 2015, THESIS
   [Anonymous], 2015, 22015 NCCS
   [Anonymous], 2007, 139482007 EN
   Arditi D., 1999, International Journal of Project Management, V15, P235, DOI DOI 10.1016/S0263-7863(96)00076-2
   Asphaug SK, 2020, BUILD ENVIRON, V169, DOI 10.1016/j.buildenv.2019.106572
   Bawden D, 2009, J INF SCI, V35, P180, DOI 10.1177/0165551508095781
   Bowen P.A., 1996, CONSTRUCTION MANAGEM, V14, P395
   Broekhuizen I, 2019, J HYDROL X, V5, DOI 10.1016/j.hydroa.2019.100044
   BURATI JL, 1992, J CONSTR ENG M ASCE, V118, P34, DOI 10.1061/(ASCE)0733-9364(1992)118:1(34)
   Charalambous K, 2019, WATER-SUI, V11, DOI 10.3390/w11051055
   Crawford L, 2008, PROJ MANAG J, V39, pS43, DOI 10.1002/pmj.20059
   Crouch M, 2006, SOC SCI INFORM, V45, P483, DOI 10.1177/0539018406069584
   Delhey J., 2012, RES WVR, V5, DOI [10.2139/ssrn.2390636, DOI 10.2139/SSRN.2390636]
   Engebo A., 2018, P 26 ANN C INT GROUP, P1079
   Engebo A, 2020, INT J MANAG PROJ BUS, V13, P1141, DOI 10.1108/IJMPB-01-2020-0014
   Engebo A, 2020, J CIV ENG MANAG, V26, P278, DOI 10.3846/jcem.2020.12186
   Engebo A, 2017, PROCEDIA ENGINEER, V196, P343, DOI 10.1016/j.proeng.2017.07.209
   Falschlunger L, 2016, P SPEC INT GROUP HUM, P6
   Fan CL, 2020, J CONSTR ENG M, V146, DOI 10.1061/(ASCE)CO.1943-7862.0001897
   Fernandez-Cañero R, 2013, J ENVIRON MANAGE, V128, P106, DOI 10.1016/j.jenvman.2013.04.052
   Fischer M, 1997, J CONSTR ENG M ASCE, V123, P253, DOI 10.1061/(ASCE)0733-9364(1997)123:3(253)
   Forschungsgesellschaft Landschaftsentwicklung Landschaftsbau (FLL) (Society of Landscape Development and Landscape Design), 2008, GUID PLANN CONSTR MA
   Green E, 2020, RISK ASSESSMENT DESI
   Gullbrekken L, 2016, BUILDINGS, V6, DOI 10.3390/buildings6020024
   Hamouz V, 2018, WATER-SUI, V10, DOI 10.3390/w10030263
   Josephson P.E., 1999, Automation in Construction, V8, P681, DOI DOI 10.1016/S0926-5805(98)00114-9
   Jungels J, 2013, LANDSCAPE URBAN PLAN, V117, P13, DOI 10.1016/j.landurbplan.2013.04.013
   KLD, 2013, STORT 33 2012 2013 K
   Lee J, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000785
   Liso K.R., 2009, NASJONAL DATABASE BY
   Liso KR, 2017, ENRGY PROCED, V132, P628, DOI 10.1016/j.egypro.2017.09.698
   Love PED, 2002, J CONSTR ENG M ASCE, V128, P18, DOI 10.1061/(ASCE)0733-9364(2002)128:1(18)
   Masseroni D, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5377-z
   Noreng K., 2013, BYGGFORSKSERIEN 544
   Opheimsbakken O.I., 2017, RETNINGSLINJER OVERV
   Oslo Municipality, 2017, VA NORM REGSTORMW MA
   Pishdad-Bozorgi Pardis, 2012, Proceedings of the 2012 Construction Research Congress, P21
   Pulaski MH, 2005, J CONSTR ENG M, V131, P911, DOI 10.1061/(ASCE)0733-9364(2005)131:8(911)
   Ronchi S., 2006, Supply Chain Forum: An International Journal, V7, P24
   Rozos E, 2013, WATER SCI TECH-W SUP, V13, P1534, DOI 10.2166/ws.2013.140
   Rubin RA, 1998, J MANAGE ENG, V14, P36, DOI 10.1061/(ASCE)0742-597X(1998)14:6(36)
   SANDELOWSKI M, 1995, RES NURS HEALTH, V18, P179, DOI 10.1002/nur.4770180211
   Shafique M., 2016, NAT ENVIRON POLLUT T, V15, P715
   Shafique M., 2016, International Journal of Control and Automation, V9, P59, DOI [10.14257/ijca.2016.9.8, DOI 10.14257/IJCA.2016.9.8.07, 10.14257/ijca.2016.9.8.07]
   SINTEF, TECHN APPR SINTEF CE
   Sivertsen E., 2019, KLIMATILPASSET BYGNI
   Skatland J., 2018, SOCIETYS BLUEPRINTS, P30
   Skjeldrum PM, 2017, ENRGY PROCED, V132, P417, DOI 10.1016/j.egypro.2017.09.649
   Stagrum AE, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051721
   Stovin V, 2010, WATER ENVIRON J, V24, P192, DOI 10.1111/j.1747-6593.2009.00174.x
   Taroun A, 2014, INT J PROJ MANAG, V32, P101, DOI 10.1016/j.ijproman.2013.03.004
   Teemusk A, 2009, BUILD ENVIRON, V44, P643, DOI 10.1016/j.buildenv.2008.05.011
   Time B., 2019, P OP C SER EARTH ENV, V352, P012053
   Torp O., 2018, P 26 ANN C INT GROUP
   Wong NH, 2003, BUILD ENVIRON, V38, P499, DOI 10.1016/S0360-1323(02)00131-2
   Wulff IA, 2000, INT J IND ERGONOM, V25, P295
NR 66
TC 5
Z9 5
U1 2
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD OCT
PY 2020
VL 10
IS 10
AR 189
DI 10.3390/buildings10100189
PG 18
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA OJ8OZ
UT WOS:000584214600001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Evans, AE
   Urban, MC
   Jockusch, EL
AF Evans, Annette E.
   Urban, Mark C.
   Jockusch, Elizabeth L.
TI Developmental temperature influences color polymorphism but not
   hatchling size in a woodland salamander
SO OECOLOGIA
LA English
DT Article
DE Plasticity; Adaptation; Plethodontidae; Amphibians; Spatial variation
ID RED-BACKED SALAMANDER; PLETHODON-CINEREUS AMPHIBIA; ADAPTIVE PHENOTYPIC
   PLASTICITY; REPRODUCTIVE ECOLOGY; LIFE-HISTORY; INCUBATION-TEMPERATURE;
   ENVIRONMENTAL-FACTORS; GEOGRAPHIC-VARIATION; CLIMATE-CHANGE; TAIL
   AUTOTOMY
AB Phenotypic plasticity can be an important adaptive response to climate change, particularly for dispersal-limited species. Temperature frequently alters developmental and phenotypic traits including morphology, behavior, and reproductive cycles. We often lack crucial information about if and how thermal conditions during development will interact with genetic responses and facilitate persistence or adaptation under climate change. Polymorphic species offer an ideal test for this, as alternative morphs often confer differential adaptive advantages. However, few studies have examined the effects of incubation temperature on color expression or development in polymorphic taxa. Here we test if developmental temperature mediates morph frequency in the polymorphic salamander Plethodon cinereus. Although previous research suggests geographic variation in morph proportions results from differential climate adaptation, it remains unknown if plasticity also contributes to this variation. We used a split-clutch common garden experiment to determine the effects of developmental temperature on the color and development of P. cinereus. Our results indicate developmental temperature affects coloration in P. cinereus, either via plasticity or differential mortality, with eggs incubated at warmer temperatures yielding a higher proportion of unstriped individuals than those from cooler temperatures. This temperature response may contribute to the spatial variation in morph frequencies in natural populations. Surprisingly, we found neither temperature nor egg size affected hatchling size. Our study provides important insights into the potential for climate-induced responses to preserve diversity in dispersal-limited species, like P. cinereus, and enable time for adaptive evolution.
C1 [Evans, Annette E.; Urban, Mark C.; Jockusch, Elizabeth L.] Univ Connecticut, Dept Ecol & Evolutionary Biol, 75 North Eagleville Rd U-3043, Storrs, CT 06269 USA.
C3 University of Connecticut
RP Evans, AE (corresponding author), Univ Connecticut, Dept Ecol & Evolutionary Biol, 75 North Eagleville Rd U-3043, Storrs, CT 06269 USA.
EM annette.evans@uconn.edu
RI Urban, Mark/Y-2430-2019
CR [Anonymous], 2004, PHENOTYPIC PLASTICIT
   [Anonymous], 2004, TEMPERATURE DEPENDEN
   Anthony CD, 2008, J ANIM ECOL, V77, P646, DOI 10.1111/j.1365-2656.2008.01398.x
   ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/S0065-2504(08)60212-3
   Ballen CJ, 2015, BEHAVIOUR, V152, P1307, DOI 10.1163/1568539X-00003280
   Bernardo J, 1999, AMPHIBIA-REPTILIA, V20, P219, DOI 10.1163/156853899X00231
   Blanchard FN, 1928, AM NAT, V62, P156, DOI 10.1086/280196
   Bradshaw WE, 2008, MOL ECOL, V17, P157, DOI 10.1111/j.1365-294X.2007.03509.x
   Brodie ED III, 1999, ANIM BEHAV, V57, P445, DOI 10.1006/anbe.1998.0990
   BURGER J, 1988, AM NAT, V132, P492, DOI 10.1086/284867
   Canale CI, 2010, CLIM RES, V43, P135, DOI 10.3354/cr00897
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   COLLAZO A, 1994, J EXP ZOOL, V268, P239, DOI 10.1002/jez.1402680309
   Cosentino BJ, 2017, ECOL EVOL, V7, P5426, DOI 10.1002/ece3.3118
   DAVISON J, 1964, J HERED, V55, P47, DOI 10.1093/oxfordjournals.jhered.a107289
   Du WG, 2015, BIOL REV, V90, P19, DOI 10.1111/brv.12089
   Duellman W E., 1985, Biology of Amphibians, DOI DOI 10.56021/9780801847806
   Evans AE, 2018, ECOGRAPHY, V41, P1687, DOI 10.1111/ecog.03588
   Fisher-Reid MC, 2013, MOL ECOL, V22, P4681, DOI 10.1111/mec.12412
   FOGLEMAN JC, 1980, J HERED, V71, P439, DOI 10.1093/oxfordjournals.jhered.a109408
   Forsman A, 2008, ECOLOGY, V89, P34, DOI 10.1890/07-0572.1
   FRASER DF, 1980, OECOLOGIA, V46, P302, DOI 10.1007/BF00346256
   Furtula M, 2008, ZOOL STUD, V47, P585
   Garcia TS, 2003, CAN J ZOOL, V81, P710, DOI 10.1139/Z03-036
   Garzón MB, 2019, NEW PHYTOL, V222, P1757, DOI 10.1111/nph.15716
   Gelman A, 1996, STAT SINICA, V6, P733
   Geweke John, 1991, EVALUATING ACCURACY
   Gibbs JP, 2006, CONSERV BIOL, V20, P913, DOI 10.1111/j.1523-1739.2006.00375.x
   Gilman SE, 2010, TRENDS ECOL EVOL, V25, P325, DOI 10.1016/j.tree.2010.03.002
   Gomez-Mestre I, 2003, EVOLUTION, V57, P1889
   Gomez-Mestre I, 2010, J EVOLUTION BIOL, V23, P1364, DOI 10.1111/j.1420-9101.2010.02016.x
   GOTTHARD K, 1995, OIKOS, V74, P3, DOI 10.2307/3545669
   Gray SM, 2007, TRENDS ECOL EVOL, V22, P71, DOI 10.1016/j.tree.2006.10.005
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   HARKEY GA, 1988, COPEIA, P1001
   HEATWOLE H, 1962, ECOLOGY, V43, P460, DOI 10.2307/1933374
   Herbeck LA, 2000, J HERPETOL, V34, P341, DOI 10.2307/1565354
   HIGHTON R, 1975, GENETICS, V80, P363
   HIGHTON R, 1960, EVOLUTION, V14, P351, DOI 10.2307/2405978
   HIGHTON RICHARD, 1959, COPEIA, V1959, P33, DOI 10.2307/1440097
   HOM CL, 1987, COPEIA, P768
   Homyack JA, 2010, J THERM BIOL, V35, P143, DOI 10.1016/j.jtherbio.2010.01.006
   HOUCK LD, 1985, J HERPETOL, V19, P420, DOI 10.2307/1564273
   JAMISON JA, 1992, COPEIA, P235, DOI 10.2307/1446558
   Jockusch EL, 1996, INT J DEV BIOL, V40, P911
   Kaplan RH, 2006, EVOLUTION, V60, P142
   KAPLAN RH, 1980, EVOLUTION, V34, P51, DOI 10.1111/j.1558-5646.1980.tb04788.x
   Kearney M, 2009, FUNCT ECOL, V23, P528, DOI 10.1111/j.1365-2435.2008.01538.x
   Leimar O, 2009, EVOL ECOL, V23, P125, DOI 10.1007/s10682-007-9194-4
   Liebgold EB, 2006, MOL ECOL, V15, P4153, DOI 10.1111/j.1365-294X.2006.03076.x
   LOTTER F, 1978, J HERPETOL, V12, P231, DOI 10.2307/1563411
   LOTTER F, 1977, COPEIA, P681, DOI 10.2307/1443166
   MAIORANA VC, 1977, NATURE, V265, P533, DOI 10.1038/265533a0
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Milanovich JR, 2006, HERPETOLOGICA, V62, P292, DOI 10.1655/0018-0831(2006)62[292:FREAIO]2.0.CO;2
   MONTAGUE JR, 1987, J HERPETOL, V21, P226, DOI 10.2307/1564486
   Moore JD, 2015, GLOBAL CHANGE BIOL, V21, P566, DOI 10.1111/gcb.12744
   MORAN NA, 1992, AM NAT, V139, P971, DOI 10.1086/285369
   MORENO G, 1989, J HERPETOL, V23, P335, DOI 10.2307/1564043
   Mott CL, 2010, WILDLIFE BIOL, V16, P93, DOI 10.2981/09-010
   NAGEL J W, 1977, Herpetologica, V33, P13
   NG MY, 1995, HERPETOLOGICA, V51, P1
   O'Neill EM, 2010, J HERED, V101, P703, DOI 10.1093/jhered/esq082
   Pearman PB, 2010, ECOGRAPHY, V33, P990, DOI 10.1111/j.1600-0587.2010.06443.x
   Petchey OL, 1999, NATURE, V402, P69, DOI 10.1038/47023
   Petruzzi Erin E, 2006, Front Zool, V3, P10, DOI 10.1186/1742-9994-3-10
   PFINGSTEN RA, 1978, J HERPETOL, V12, P163, DOI 10.2307/1563403
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Prokop ZM, 2012, EVOLUTION, V66, P2665, DOI 10.1111/j.1558-5646.2012.01654.x
   Reed TE, 2011, CONSERV BIOL, V25, P56, DOI 10.1111/j.1523-1739.2010.01552.x
   Reichling SB, 1996, ZOO BIOL, V15, P301, DOI 10.1002/(SICI)1098-2361(1996)15:3<301::AID-ZOO8>3.0.CO;2-F
   Reiter MK, 2014, COPEIA, P481, DOI 10.1643/CE-13-154
   Riddell EA, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar5471
   Ringia AM, 2007, HERPETOLOGICA, V63, P258, DOI 10.1655/0018-0831(2007)63[258:OEDAGO]2.0.CO;2
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Roulin A, 2004, BIOL REV, V79, P815, DOI 10.1017/S1464793104006487
   Salthe S.N., 1974, P309
   SALTHE SN, 1969, AM MIDL NAT, V81, P467, DOI 10.2307/2423983
   SCHEINER SM, 1993, ANNU REV ECOL SYST, V24, P35, DOI 10.1146/annurev.es.24.110193.000343
   Sever DM, 1997, J MORPHOL, V234, P131
   Stuczka A, 2016, AMPHIBIA-REPTILIA, V37, P283, DOI 10.1163/15685381-00003055
   TAUB FB, 1961, ECOLOGY, V42, P681, DOI 10.2307/1933498
   Tejedo M, 2010, CLIM RES, V43, P31, DOI 10.3354/cr00878
   TEST FH, 1952, EVOLUTION, V6, P197, DOI 10.2307/2405623
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   Uhlenhuth E, 1919, J GEN PHYSIOL, V1, P525, DOI 10.1085/jgp.1.5.525
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Urban MC, 2014, EVOL APPL, V7, P88, DOI 10.1111/eva.12114
   Venesky MD, 2015, J ZOOL, V295, P279, DOI 10.1111/jzo.12208
   Venesky MD, 2007, HERPETOLOGICA, V63, P450, DOI 10.1655/0018-0831(2007)63[450:AAAPAB]2.0.CO;2
   VIETS BE, 1994, J EXP ZOOL, V270, P45, DOI 10.1002/jez.1402700106
   Villemereuil P, 2013, METHODS ECOL EVOL, V4, P260, DOI 10.1111/2041-210X.12011
   VOSS SR, 1993, J HERPETOL, V27, P329, DOI 10.2307/1565156
   Warkentin KM, 2001, ECOLOGY, V82, P2860, DOI 10.1890/0012-9658(2001)082[2860:EKFIEH]2.0.CO;2
   Wells K.D., 2010, The ecology and behavior of amphibians
   WILLIAMS EE, 1968, EVOLUTION, V22, P76, DOI 10.1111/j.1558-5646.1968.tb03451.x
   Wise SE, 2004, COPEIA, P165, DOI 10.1643/CE-02-124R2
   Zuo WY, 2012, P ROY SOC B-BIOL SCI, V279, P1840, DOI 10.1098/rspb.2011.2000
NR 99
TC 8
Z9 8
U1 1
U2 30
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0029-8549
EI 1432-1939
J9 OECOLOGIA
JI Oecologia
PD APR
PY 2020
VL 192
IS 4
BP 909
EP 918
DI 10.1007/s00442-020-04630-y
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA LE1AI
UT WOS:000526455200004
PM 32162072
DA 2025-01-10
ER

PT J
AU Essex, B
   Koop, SHA
   Van Leeuwen, CJ
AF Essex, B.
   Koop, S. H. A.
   Van Leeuwen, C. J.
TI Proposal for a National Blueprint Framework to Monitor Progress on
   Water-Related Sustainable Development Goals in Europe
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Sustainable development goals; Water management; Circular economy;
   Indicators; Implementation
ID RESOURCES MANAGEMENT; WASTE; CHALLENGES; GOVERNANCE; CITIES
AB The 17 Sustainable Development Goals (SDGs) underpinned by 169 targets presents national governments with huge challenges for implementation. We developed a proposal for a National Blueprint Framework (NBF) with 24 water-related indicators, centered on SDG 6 (clean water and sanitation for all), each with a specific target. We applied the NBF to 28 EU Member States (EU-28) and conclude that:
   The current SDG 6 indicators are useful for monitoring progress toward water-related targets but their usefulness can be improved by focusing more on their practical implementation. The extension of SDG 6 with complementary indicators (e.g. for the circular economy of water) and quantitative policy targets is urgently needed. This will benefit the communication process and progress at the science-policy interface. SDG indicators can be improved in a (specific, measurable, achievable, relevant, and time-bound) manner and by setting clear policy targets for each indicator, allowing for measuring distance-to-targets. This allows country-to-country comparison and learning, and accelerates the SDG implementation process. We propose 24 water-related indicators centered on SDG 6, with complementary indicators including quantitative policy targets. The approach is doable, easily scalable, and flexibly deployable by collecting information for the EU-28. Main gaps in the EU-28 are observed for water quality, wastewater treatment, nutrient, and energy recovery, as well as climate adaptation to extreme weather events (heat, droughts, and floods). The framework was less successful for non-OECD countries due to lack of data and EU-centric targets for each indicator. This needs further research.
C1 [Essex, B.; Koop, S. H. A.; Van Leeuwen, C. J.] KWR Water Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands.
   [Essex, B.; Koop, S. H. A.; Van Leeuwen, C. J.] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3508 TC Utrecht, Netherlands.
C3 Utrecht University
RP Van Leeuwen, CJ (corresponding author), KWR Water Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands.; Van Leeuwen, CJ (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3508 TC Utrecht, Netherlands.
EM kees.van.leeuwen@kwrwater.nl
RI Koop, Steven/J-8116-2019; van Leeuwen, Kees/S-5815-2016
OI van Leeuwen, Kees/0000-0003-1605-4268
CR Allen C, 2018, SUSTAIN SCI, V13, P1453, DOI 10.1007/s11625-018-0572-3
   [Anonymous], 2015, Indicators for sustainable cities, DOI DOI 10.2779/61700
   [Anonymous], 2019, MAK BLEND FIN WORK W
   [Anonymous], WAT US SECT
   [Anonymous], 2015, UN Summit to adopt the Post-2015 Development Agenda, P1
   Arup, 2014, CIT RES IND
   Asian Development Bank, 2016, AS WAT DEV STRENGTH
   Barnett P, 2015, WHAT GETS MEASURED G
   Batten J., 2016, SUSTAINABLE CITIES W
   Bhaduri A, 2016, FRONT ENV SCI-SWITZ, V4, DOI 10.3389/fenvs.2016.00064
   Brundtland G.H., 1987, MED CONFLICT SURVIVA, V4, P300, DOI DOI 10.1080/07488008808408783
   de Graaf IEM, 2019, NATURE, V574, P90, DOI 10.1038/s41586-019-1594-4
   De Vries BJ., 2012, SUSTAIN SCI, DOI [10.1017/CBO9780511794469, DOI 10.1017/CBO9780511794469]
   Dickens C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020462
   Economist Intelligence Unit, 2012, GREEN CIT IND
   Equal Measures 2030, 2019, HARNESSING POWER DAT
   European Commission, 2017, IND MEAS SOC PROT PE, DOI [10.2841/158380, DOI 10.2841/158380]
   European Commission, 2017, EUR 2020 TARG
   Feingold D, 2018, ENVIRON MANAGE, V61, P9, DOI 10.1007/s00267-017-0952-y
   Gain AK, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124015
   Gawlik B.M., 2017, URBAN WATER ATLAS EU, DOI [10.1016/j.scitotenv.2019.03.288, DOI 10.1016/J.SCITOTENV.2019.03.288]
   Georgeson L, 2018, GEO-GEOGR ENVIRON, V5, DOI 10.1002/geo2.49
   Giordano M, 2014, INT J WATER RESOUR D, V30, P364, DOI 10.1080/07900627.2013.851521
   Guppy L, 2019, SUSTAIN SCI, V14, P501, DOI 10.1007/s11625-018-0649-z
   HLPW, 2018, MAK EV DROP COUNT
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Hoekstra AY, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/9/091003
   Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688
   Howard G., 2003, Domestic water quantity, service, level and health
   Hunter PR, 2010, PLOS MED, V7, DOI 10.1371/journal.pmed.1000361
   Iribarnegaray MA, 2012, J WATER SANIT HYG DE, V2, P205, DOI 10.2166/washdev.2012.005
   JMP, 2017, SAN
   Kilkis S, 2018, INT J INNOV SUSTAIN, V12, P87, DOI 10.1504/IJISD.2018.10009938
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Koop SHA, 2015, WATER RESOUR MANAG, V29, P5649, DOI 10.1007/s11269-015-1139-z
   Koop SHA, 2015, WATER RESOUR MANAG, V29, P4629, DOI 10.1007/s11269-015-1079-7
   Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108
   Makarigakis AK, 2019, WATER-SUI, V11, DOI 10.3390/w11020388
   Malik OA, 2015, ENVIRON SCI POLICY, V48, P172, DOI 10.1016/j.envsci.2015.01.005
   Medema W, 2008, ECOL SOC, V13
   Nilsson M., 2016, Nature, V534, P5125, DOI [10.1787/agr_outlook-2015-en, DOI 10.1787/AGR_OUTLOOK-2015-EN]
   OECD, 2019, MEAS DIST SDG TARG 2, DOI DOI 10.1787/A8CAF3FA-EN
   OECD, 2017, MEAS DIST SDG TARG
   Petit O, 2016, CURR OPIN ENV SUST, V21, P58, DOI 10.1016/j.cosust.2016.11.006
   Pires A, 2017, SCI TOTAL ENVIRON, V578, P139, DOI 10.1016/j.scitotenv.2016.10.217
   Pradhan P, 2017, SYSTEMATIC STUDY SUS, P1169, DOI [10.1002/eft2.266, DOI 10.1002/EFT2.266]
   Rahmasary AN, 2019, ENVIRON MANAGE, V63, P520, DOI 10.1007/s00267-019-01137-y
   Rasul G, 2016, ENVIRON DEV, V18, P14, DOI 10.1016/j.envdev.2015.12.001
   Reidhead W, 2016, MONITORING WATER SAN, P1
   Robinson J, 2004, ECOL ECON, V48, P369, DOI 10.1016/j.ecolecon.2003.10.017
   Romano O, 2019, WATER-SUI, V11, DOI 10.3390/w11030500
   Savenije HHG, 2008, PHYS CHEM EARTH, V33, P290, DOI 10.1016/j.pce.2008.02.003
   Scherer L, 2018, ENVIRON SCI POLICY, V90, P65, DOI 10.1016/j.envsci.2018.10.002
   [Swilling M. UNEP UNEP], 2013, City-Level Decoupling: Urban resource flows and the governance of infrastructure transitions. Summary for Makers
   TWAP, 2016, TRANSBOUNDARY RIVERS
   UN, 2018, SDG6 Synthesis Report 2018, DOI [10.1126/science.278.5339.827, DOI 10.1126/SCIENCE.278.5339.827]
   UN-Water, 2016, WAT SAN INT 2030 AG
   United Nations, 2015, MILL DEV REP 2015
   United Nations Department of Economic and Social Affairs, 2013, SCEN SUST DEV RIO 20
   van Leeuwen K, 2018, ENVIRON MANAGE, V61, P786, DOI 10.1007/s00267-018-0995-8
   van Puijenbroek PJTM, 2019, J ENVIRON MANAGE, V231, P446, DOI 10.1016/j.jenvman.2018.10.048
   Wendling Z.A., 2018, 2018 ENV PERFORMANCE
   Weststrate J, 2019, SOC INDIC RES, V143, P795, DOI 10.1007/s11205-018-1965-5
   World Bank, 2018, Atlas of sustainable development goals 2018: from world development indicators, DOI [10.1596/978-1-4648-1250-7, DOI 10.1596/978-1-4648-1250-7]
NR 65
TC 31
Z9 34
U1 1
U2 30
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JAN
PY 2020
VL 65
IS 1
BP 1
EP 18
DI 10.1007/s00267-019-01231-1
EA DEC 2019
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA KJ2IA
UT WOS:000500280400001
PM 31797037
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Barbosa, JM
   Pascual-Rico, R
   Martínez, SE
   Sánchez-Zapata, JA
AF Magalhaes Barbosa, Jomar
   Pascual-Rico, Roberto
   Martinez, Sergio Eguia
   Sanchez-Zapata, Jose A.
TI Ungulates Attenuate the Response of Mediterranean Mountain Vegetation to
   Climate Oscillations
SO ECOSYSTEMS
LA English
DT Article
DE herbivore; ungulates; exotic animals; Normalised Difference Vegetation
   Index; primary productivity; plant biomass; climate change; climate
   adaptability
ID EMPIRICAL MODE DECOMPOSITION; TOP-DOWN; ASSISTED COLONIZATION;
   AMMOTRAGUS-LERVIA; LARGE HERBIVORES; BOTTOM-UP; PRECIPITATION;
   ECOSYSTEM; BIODIVERSITY; FOREST
AB In regions with a long-standing history of grazing pressure, vegetation has co-evolved with herbivores by developing intrinsic functional dynamics. Although this type of trophic interaction has been recognised as being important for shaping how vegetation responds to climate, better knowledge about how this process occurs on the landscape scale and over a long time range is necessary. Here, we evaluated the potential roles of herbivores in modulating the response of mountainous Mediterranean vegetation to seasonal and long-term climate oscillations. To understand the relations among climate, plants and animal population, we fitted a Bayesian model to a combination of long-term (1995-2014) climate datasets, satellite greenness maps (NASA Landsat NDVI) and exotic Barbary sheep census data (breeding success and abundance of Ammotragus lervia). We also used the intrinsic mode function and Hilbert spectrum transformations to decompose NDVI time series and to evaluate their periodic oscillations. We found remarkable dissimilarities as to how climate affects the temporal oscillation of vegetation greenness between landscapes both with and without ungulates, albeit their similarities under environmental conditions. Vegetation responses to climate are particularly attenuated in landscapes with ungulates, an effect that depends on ungulate population abundance. In a world where extreme climate events are becoming frequent and intense, our results indicate that ungulates can strongly modulate how grasslands and scrublands respond to climate change. Increasing our knowledge as to how this type of trophic interaction affects vegetation responses to climate variability is of much importance for managing ungulate rewilding strategies.
C1 [Magalhaes Barbosa, Jomar] Estn Biol Donana CSIC, Dept Conservat Biol, Avda Amer Vespucio 26, Seville 41092, Spain.
   [Magalhaes Barbosa, Jomar; Pascual-Rico, Roberto; Sanchez-Zapata, Jose A.] Miguel Hernandez Univ, Dept Appl Biol, Alicante 03202, Spain.
   [Martinez, Sergio Eguia] Mendijob SL, C Rambla 22, Murcia 30120, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Estacion
   Biologica de Donana (EBD); Universidad Miguel Hernandez de Elche
RP Barbosa, JM (corresponding author), Estn Biol Donana CSIC, Dept Conservat Biol, Avda Amer Vespucio 26, Seville 41092, Spain.; Barbosa, JM (corresponding author), Miguel Hernandez Univ, Dept Appl Biol, Alicante 03202, Spain.
EM jomarmbarbosa@gmail.com
RI Barbosa, Jomar/L-6648-2013; Sanchez-Zapata, Jose/H-1413-2015;
   Pascual-Rico, Roberto/AEV-4579-2022
OI Barbosa, Jomar Magalhaes/0000-0001-7869-5533; Pascual-Rico,
   Roberto/0000-0002-7340-1230
FU Spanish Ministry of Economy and Competitiveness [CGL2015-66966-C2-12-R,
   RTI2018-099609-B-C21]; Regional Government of Murcia, Spain (CARM);
   EU/ERDF [CGL2015-66966-C2-12-R, RTI2018-099609-B-C21]
FX We are grateful to all the people who participated in the Barbary sheep
   census. This study was partially funded by the Projects
   CGL2015-66966-C2-12-R and RTI2018-099609-B-C21 (Spanish Ministry of
   Economy and Competitiveness and EU/ERDF) and Regional Government of
   Murcia, Spain (CARM).
CR Anadón JD, 2018, LANDSCAPE ECOL, V33, P597, DOI 10.1007/s10980-018-0622-3
   Augustine DJ, 2003, ECOL APPL, V13, P1325, DOI 10.1890/02-5283
   Bakker ES, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0432
   Bernués A, 2011, LIVEST SCI, V139, P44, DOI 10.1016/j.livsci.2011.03.018
   Blondel J, 2006, HUM ECOL, V34, P713, DOI 10.1007/s10745-006-9030-4
   Boelman NT, 2003, OECOLOGIA, V135, P414, DOI 10.1007/s00442-003-1198-3
   Bowen ME, 2007, BIOL CONSERV, V140, P273, DOI 10.1016/j.biocon.2007.08.012
   Buhk C, 2006, ACTA OECOL, V30, P288, DOI 10.1016/j.actao.2006.05.010
   Cromsigt JPGM, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0440
   Derry JF, 2010, J ARID ENVIRON, V74, P307, DOI 10.1016/j.jaridenv.2009.07.010
   Di Marco M, 2014, CONSERV BIOL, V28, P1109, DOI 10.1111/cobi.12249
   Doughty CE, 2016, P NATL ACAD SCI USA, V113, P868, DOI 10.1073/pnas.1502549112
   Doughty CE, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043985
   *DTSCH AK NAT LEOP, 2013, 22 EASAC DTSCH AK NA
   Ellis EC, 2013, P NATL ACAD SCI USA, V110, P7978, DOI 10.1073/pnas.1217241110
   Fernández-Olalla M, 2016, J ARID ENVIRON, V129, P9, DOI 10.1016/j.jaridenv.2016.02.003
   Foga S, 2017, REMOTE SENS ENVIRON, V194, P379, DOI 10.1016/j.rse.2017.03.026
   Frank DA, 1998, ECOLOGY, V79, P2229, DOI 10.1890/0012-9658(1998)079[2229:UVLCOS]2.0.CO;2
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   González-Candela M, 2004, J WILDLIFE DIS, V40, P456, DOI 10.7589/0090-3558-40.3.456
   HEIDINGER AK, 2014, NOAA CLIMATE DATA RE
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Holmes EE., 2018, Analysis of multivariate time-series using the MARSS package
   Huang NE, 1998, P ROY SOC A-MATH PHY, V454, P903, DOI 10.1098/rspa.1998.0193
   HUNTER MD, 1992, ECOLOGY, V73, P724
   Huxman TE, 2004, OECOLOGIA, V141, P295, DOI 10.1007/s00442-003-1389-y
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Jia SH, 2018, P NATL ACAD SCI USA, V115, P6237, DOI 10.1073/pnas.1707984115
   JUNSHENG C, 2006, MECH SYSTEMS SIGNAL, V20, P817
   Kaarlejärvi E, 2015, GLOBAL CHANGE BIOL, V21, P3379, DOI 10.1111/gcb.12970
   Kim D, 2009, R J, V1, P40
   Letnic M, 2017, GLOBAL ECOL BIOGEOGR, V26, P860, DOI 10.1111/geb.12593
   Li LH, 2017, SCI REP-UK, V7, DOI [10.1038/srep40745, 10.1038/s41598-017-11063-w]
   Liu Y, 2015, REMOTE SENS-BASEL, V7, P13233, DOI 10.3390/rs71013233
   MacDonald D, 2000, J ENVIRON MANAGE, V59, P47, DOI 10.1006/jema.1999.0335
   Manier DJ, 2006, OECOLOGIA, V146, P641, DOI 10.1007/s00442-005-0065-9
   MCNAUGHTON SJ, 1985, ECOL MONOGR, V55, P259, DOI 10.2307/1942578
   Meserve PL, 2003, BIOSCIENCE, V53, P633, DOI 10.1641/0006-3568(2003)053[0633:TYOSTA]2.0.CO;2
   MILCHUNAS DG, 1993, ECOL MONOGR, V63, P327, DOI 10.2307/2937150
   MILCHUNAS DG, 1989, VEGETATIO, V80, P11, DOI 10.1007/BF00049137
   Moyes K, 2011, GLOBAL CHANGE BIOL, V17, P2455, DOI 10.1111/j.1365-2486.2010.02382.x
   Murthy K, 2018, LAND DEGRAD DEV, V29, P2485, DOI 10.1002/ldr.3019
   Navarro L. M., 2012, Ecosystems, V15, P900, DOI 10.1007/s10021-012-9558-7
   Nielsen A, 2012, GLOBAL CHANGE BIOL, V18, P3050, DOI 10.1111/j.1365-2486.2012.02733.x
   O'Brien RM, 2007, QUAL QUANT, V41, P673, DOI 10.1007/s11135-006-9018-6
   Olofsson J, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0437
   Pascual-Rico R, 2018, APPL SOIL ECOL, V127, P136, DOI 10.1016/j.apsoil.2018.03.017
   Pettorelli N, 2007, ECOLOGY, V88, P381, DOI 10.1890/06-0875
   Pettorelli N, 2011, CLIM RES, V46, P15, DOI 10.3354/cr00936
   Plieninger T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098355
   Post E, 2008, P NATL ACAD SCI USA, V105, P12353, DOI 10.1073/pnas.0802421105
   Reichmann LG, 2013, ECOLOGY, V94, P435, DOI 10.1890/12-1237.1
   Ricciardi A, 2009, TRENDS ECOL EVOL, V24, P248, DOI 10.1016/j.tree.2008.12.006
   RIVASMARTINEZ S, 1986, MAPAS SERIES VEGETAC
   Sala OE, 2012, PHILOS T R SOC B, V367, P3135, DOI 10.1098/rstb.2011.0347
   Sankaran M, 2013, J ECOL, V101, P1389, DOI 10.1111/1365-2745.12147
   SCHULTZ PA, 1993, ADV SPACE RES-SERIES, V13, P277, DOI 10.1016/0273-1177(93)90559-T
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   STOFFER DS, 1991, J AM STAT ASSOC, V86, P1024, DOI 10.2307/2290521
   Sullivan S, 2002, J BIOGEOGR, V29, P1595, DOI 10.1046/j.1365-2699.2002.00799.x
   Svenning Jens-Christian, 2016, Proc Natl Acad Sci U S A, V113, P898, DOI 10.1073/pnas.1502556112
   Teillet PM, 2001, REMOTE SENS ENVIRON, V78, P39, DOI 10.1016/S0034-4257(01)00248-6
   TILMAN D, 1994, NATURE, V367, P363, DOI 10.1038/367363a0
   Tilman D, 2014, ANNU REV ECOL EVOL S, V45, P471, DOI 10.1146/annurev-ecolsys-120213-091917
   Veblen KE, 2016, ECOL APPL, V26, P1610, DOI 10.1890/15-1367.1
   Vetter S, 2005, J ARID ENVIRON, V62, P321, DOI 10.1016/j.jaridenv.2004.11.015
   Wittemyer G, 2007, ECOGRAPHY, V30, P42, DOI 10.1111/j.2006.0906-7590.04900.x
   Yi CX, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/3/034007
   Zhang L., 2016, IOP Conference Series: Earth and Environmental Science, V34, DOI 10.1088/1755-1315/34/1/012042
   Zhao MS, 2010, SCIENCE, V329, P940, DOI [10.1126/science.1192666, 10.1126/science.1189590]
NR 70
TC 13
Z9 13
U1 0
U2 35
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1432-9840
EI 1435-0629
J9 ECOSYSTEMS
JI Ecosystems
PD AUG
PY 2020
VL 23
IS 5
BP 957
EP 972
DI 10.1007/s10021-019-00449-8
EA OCT 2019
PG 16
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA MV3FW
UT WOS:000490875400001
DA 2025-01-10
ER

PT J
AU Zhang, F
   de Dear, R
AF Zhang, Fan
   de Dear, Richard
TI Impacts of demographic, contextual and interaction effects on thermal
   sensation-Evidence from a global database
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Demographic factors; Contextual factors; Interaction effects; Thermal
   sensation; ASHRAE global thermal comfort database II
ID MIXED-MODE; OFFICE BUILDINGS; COGNITIVE PERFORMANCE; RESIDENTIAL
   BUILDINGS; GENDER-DIFFERENCES; OCCUPANT SATISFACTION; COMFORT; FIELD;
   HOT; TEMPERATURES
AB Previous studies have demonstrated that non-thermal factors may affect occupants' thermal response in the indoor environment. The effects of demographic and contextual factors on thermal perception have been extensively studied, yet in previous studies, confounding variables have not been commonly controlled; it is also not known how these factors interact with each other. The current study leverages on the largest global thermal comfort database to date and explores the impacts of available demographic and contextual factors, including gender, ventilation mode, building typology, season and climate, on occupants' thermal sensation, along with their two-way and three-way interaction effects. Results indicate that all tested demographic and contextual factors except ventilation mode significantly affect occupants' thermal sensation. Under the same indoor environmental and outdoor climatic conditions, males perceive the environment as being significantly warmer than females in all contexts; males' thermal sensitivity is also consistently lower than females'. Thermal sensations in multifamily housing are significantly lower and closer to neutral than in office buildings under the same exposure conditions, yet it is likely to be the combined effects of building typology and ventilation mode. All else being equal, occupants in office buildings have less seasonal variation in thermal sensation than classrooms and multifamily housing. Residents in a warmer climate deem the same indoor thermal environment significantly cooler than residents in a cooler climate; this climatic adaptation is more pronounced in females than in males. Occupants' sensitivity to indoor air temperature, humidity and air movement significantly vary between different ventilation modes under different seasons.
C1 [Zhang, Fan] Griffith Univ, Griffith Sch Engn & Built Environm, Southport, Qld 4222, Australia.
   [de Dear, Richard] Univ Sydney, Sch Architecture Design & Planning, Sydney, NSW 2006, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; University
   of Sydney
RP Zhang, F (corresponding author), Griffith Univ, Griffith Sch Engn & Built Environm, Southport, Qld 4222, Australia.
EM fan.zhang@griffith.edu.au; richard.dedear@sydney.edu.au
RI de Dear, Richard/AAP-8963-2020; de Dear, Richard/HLQ-1063-2023; Zhang,
   Fan/J-1106-2019
OI de Dear, Richard/0000-0002-3414-290X; Zhang, Fan/0000-0002-3031-8218
CR [Anonymous], 1970, Thermal Comfort
   [Anonymous], 2002, HIERARCHICAL LINEAR
   ASHRAE, 2017, ASHRAE HDB FUND SI
   BAKER N, 1994, RENEW ENERG, V5, P977, DOI 10.1016/0960-1481(94)90120-1
   Baker N. V., 1993, SOL ENERGY ARCHIT PL
   Barrett P, 2015, BUILD ENVIRON, V89, P118, DOI 10.1016/j.buildenv.2015.02.013
   Becker R, 2009, BUILD ENVIRON, V44, P948, DOI 10.1016/j.buildenv.2008.06.011
   BERGLUND LG, 1978, ASHRAE T, V84, P110
   Brager G, 2009, BUILD RES INF, V37, P369, DOI 10.1080/09613210902899785
   Brager GS, 2006, ASHRAE J, V48, P30
   Brager GS, 1998, ENERG BUILDINGS, V27, P83, DOI 10.1016/S0378-7788(97)00053-4
   Cena K, 1999, ASHRAE Trans, V105, P204
   Cheung T, 2019, BUILD ENVIRON, V153, P205, DOI 10.1016/j.buildenv.2019.01.055
   Chow TT, 2010, BUILD ENVIRON, V45, P2177, DOI 10.1016/j.buildenv.2010.03.016
   Damiati SA, 2016, BUILD ENVIRON, V109, P208, DOI 10.1016/j.buildenv.2016.09.024
   de Dear R, 1998, ASHRAE T, V104, P1
   de Dear R.J., 1994, ASHRAE T, V100, P457
   de Dear R, 2015, BUILD RES INF, V43, P383, DOI 10.1080/09613218.2015.991627
   De Vecchi R, 2017, BUILD ENVIRON, V123, P672, DOI 10.1016/j.buildenv.2017.07.029
   Deuble MP, 2012, BUILD ENVIRON, V54, P53, DOI 10.1016/j.buildenv.2012.01.021
   Drake S, 2010, ARCHIT SCI REV, V53, P297, DOI 10.3763/asre.2010.0021
   Erlandson T, 2003, ERGONOMICS, V46, P616, DOI 10.1080/0014013031000085707
   Erlandson TM, 2005, ELS ERG B S, V3, P263, DOI 10.1016/S1572-347X(05)80043-6
   Field A., 2013, Discovering Statistics using IBM SPSS Statistics
   Frontczak M, 2011, BUILD ENVIRON, V46, P922, DOI 10.1016/j.buildenv.2010.10.021
   Gelman A, 2006, TECHNOMETRICS, V48, P432, DOI 10.1198/004017005000000661
   HAVENITH G, 1990, EUR J APPL PHYSIOL, V61, P419, DOI 10.1007/BF00236062
   Heidari S, 2002, ENERG BUILDINGS, V34, P607, DOI 10.1016/S0378-7788(02)00011-7
   Hox JJ, 2000, MODELING LONGITUDINAL AND MULTILEVEL DATA, P15
   Humphreys M.A., 1978, Building Research and Practice, V6, P92, DOI [10.1080/09613217808550656, DOI 10.1080/09613217808550656]
   Hwang RL, 2006, ENERG BUILDINGS, V38, P53, DOI 10.1016/j.enbuild.2005.05.001
   Indraganti M, 2010, ENERG BUILDINGS, V42, P273, DOI 10.1016/j.enbuild.2009.09.003
   IUPS Thermal Commission, 2001, JPN J PHYSL, V51, P245
   Jones PD, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017139
   Karjalainen S, 2012, INDOOR AIR, V22, P96, DOI 10.1111/j.1600-0668.2011.00747.x
   Karjalainen S, 2009, BUILD ENVIRON, V44, P1237, DOI 10.1016/j.buildenv.2008.09.002
   Karyono TH, 2000, BUILD ENVIRON, V35, P77, DOI 10.1016/S0360-1323(98)00066-3
   Khoshbakht M, 2019, ENERG BUILDINGS, V196, P194, DOI 10.1016/j.enbuild.2019.05.030
   Kim J, 2013, BUILD ENVIRON, V70, P245, DOI 10.1016/j.buildenv.2013.08.022
   Kim J, 2012, BUILD ENVIRON, V57, P184, DOI 10.1016/j.buildenv.2012.05.003
   Köppen W, 2011, METEOROL Z, V20, P351, DOI 10.1127/0941-2948/2011/105
   Kolarik J, 2009, HVAC&R RES, V15, P931, DOI 10.1080/10789669.2009.10390873
   Lau SSY, 2019, BUILD ENVIRON, V148, P579, DOI 10.1016/j.buildenv.2018.11.032
   Licina VF, 2018, BUILD ENVIRON, V142, P502, DOI 10.1016/j.buildenv.2018.06.022
   Liu H, 2018, BUILD ENVIRON, V141, P45, DOI 10.1016/j.buildenv.2018.05.040
   Liu H, 2017, ENERG BUILDINGS, V140, P9, DOI 10.1016/j.enbuild.2017.01.066
   Lorah J, 2018, LARGE-SCALE ASSESS E, V6, DOI 10.1186/s40536-018-0061-2
   Luo MH, 2015, BUILD ENVIRON, V88, P46, DOI 10.1016/j.buildenv.2014.06.019
   Manu S, 2016, BUILD ENVIRON, V98, P55, DOI 10.1016/j.buildenv.2015.12.019
   Maykot JK, 2018, ENERG BUILDINGS, V158, P1170, DOI 10.1016/j.enbuild.2017.11.036
   MCINTYRE DA, 1982, ENERG BUILDINGS, V5, P89, DOI 10.1016/0378-7788(82)90003-2
   Mishra AK, 2013, BUILD ENVIRON, V64, P94, DOI 10.1016/j.buildenv.2013.02.015
   Muzi G, 1998, INT ARCH OCC ENV HEA, V71, P372, DOI 10.1007/s004200050295
   Nicol F, 2007, SOL ENERGY, V81, P295, DOI 10.1016/j.solener.2006.07.007
   Nicol JF, 1999, ENERG BUILDINGS, V30, P261, DOI 10.1016/S0378-7788(99)00011-0
   Oseland N. A., 1996, IND AIR 96 7 INT C I, V1, P215
   OSELAND NA, 1994, ENERG BUILDINGS, V21, P45, DOI 10.1016/0378-7788(94)90015-9
   Oseland NA, 1995, ENERG BUILDINGS, V23, P105, DOI 10.1016/0378-7788(95)00934-5
   Parsons KC, 2002, ENERG BUILDINGS, V34, P593, DOI 10.1016/S0378-7788(02)00009-9
   Peng CG, 2010, FRONT STRUCT CIV ENG, V4, P503, DOI 10.1007/s11709-010-0095-1
   Rijal HB, 2010, BUILD ENVIRON, V45, P2743, DOI 10.1016/j.buildenv.2010.06.002
   Rohles FH., 1971, ASHRAE T, V77, P239
   ROHLES FH, 1973, ASHRAE T           2, V79, P52
   Rupp RF, 2018, ENERG BUILDINGS, V158, P1475, DOI 10.1016/j.enbuild.2017.11.047
   Rupp RF, 2015, ENERG BUILDINGS, V105, P178, DOI 10.1016/j.enbuild.2015.07.047
   Schweiker Marcel, 2018, Temperature (Austin), V5, P308, DOI 10.1080/23328940.2018.1534490
   Shipworth D., 2016, P 9 WINDS C, P56
   Snijders T. A. B., 2012, MULTILEVEL ANAL INTR, DOI [10.1007/s00374-009-0409-4, DOI 10.1007/S00374-009-0409-4]
   Tabachnick B.G., 2013, PEARSON2012
   Takasu M, 2017, BUILD ENVIRON, V118, P273, DOI 10.1016/j.buildenv.2017.02.023
   Taylor NAS, 2006, J THERM BIOL, V31, P90, DOI 10.1016/j.jtherbio.2005.11.007
   Vellei M, 2017, BUILD ENVIRON, V124, P171, DOI 10.1016/j.buildenv.2017.08.005
   Wagner A, 2007, ENERG BUILDINGS, V39, P758, DOI 10.1016/j.enbuild.2007.02.013
   Wang Z, 2018, BUILD ENVIRON, V138, P181, DOI 10.1016/j.buildenv.2018.04.040
   Wang ZJ, 2006, BUILD ENVIRON, V41, P1034, DOI 10.1016/j.buildenv.2005.04.020
   Yang W, 2008, INT J BIOMETEOROL, V52, P385, DOI 10.1007/s00484-007-0133-4
   Yao RM, 2010, APPL ENERG, V87, P1015, DOI 10.1016/j.apenergy.2009.09.028
   Zhang F, 2017, INDOOR AIR, V27, P78, DOI 10.1111/ina.12296
   Zhang F, 2019, APPL ENERG, V236, P760, DOI 10.1016/j.apenergy.2018.12.005
   Zhang F, 2017, BUILD ENVIRON, V123, P176, DOI 10.1016/j.buildenv.2017.06.048
   Zhang F, 2017, BUILD ENVIRON, V111, P160, DOI 10.1016/j.buildenv.2016.11.012
   Zhang F, 2016, BUILD ENVIRON, V103, P9, DOI 10.1016/j.buildenv.2016.03.020
   Zhang Y, 2016, INDOOR AIR, V26, P820, DOI 10.1111/ina.12256
NR 83
TC 40
Z9 41
U1 2
U2 27
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD SEP
PY 2019
VL 162
AR 106286
DI 10.1016/j.buildenv.2019.106286
PG 12
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA IV8KM
UT WOS:000484514400011
DA 2025-01-10
ER

PT J
AU Li, X
   Troy, TJ
AF Li, X.
   Troy, T. J.
TI Changes in rainfed and irrigated crop yield response to climate in the
   western US
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE crop yield; climate variability; irrigation
ID POTENTIAL IMPACT; FOOD SECURITY; UNITED-STATES; WATER; SOIL;
   TEMPERATURE; MAIZE; INVESTMENTS; ADAPTATION; DISASTERS
AB As the global population increases and the climate changes, ensuring a secure food supply is increasingly important. One strategy is irrigation, which allows for crops to be grown outside their optimal climate growing regions and which buffers against climate variability. Although irrigation is a positive climate adaptation mechanism for agriculture, it has a potentially negative effect on water resources as it can lead to groundwater depletion and diminished surface water supplies. This study quantifies how crop yields are affected by climate variability and extremes and the impact of irrigation on crop yield increases under various growing-season climate conditions. To do this, we use historical climate data and county-level rainfed and irrigated crop yields for maize, soybean, winter and spring wheat over the US to analyze the relationship between climate, crop yields, and irrigation. We find that there are optimal climates, specific to each crop, where irrigation provides a benefit and other conditions where irrigation proves to have marginal, if any, benefits. Furthermore, the relationship between crop yields and climate has changed over the last decades, with a changing sensitivity in the relationship of soybean and winter wheat yields to certain climate variables, like crop reference evapotranspiration. These two conclusions have important implications for agricultural and water resource system planning, as it implies there are more optimal climate conditions where irrigation is particularly productive and regions where irrigation should be reconsidered as there is not a significant agricultural benefit and the water could be used more productively.
C1 [Li, X.; Troy, T. J.] Lehigh Univ, Dept Civil & Environm Engn, STEPS 9A,1W Packer Ave, Bethlehem, PA 18015 USA.
C3 Lehigh University
RP Troy, TJ (corresponding author), Lehigh Univ, Dept Civil & Environm Engn, STEPS 9A,1W Packer Ave, Bethlehem, PA 18015 USA.
EM tjt201@lehigh.edu
OI Troy, Tara/0000-0001-5366-0633
FU NSF [EAR-1360446]
FX We would like to thank Chinpihoi Kipgen for sharing the processed USDA
   crop yield data, Naresh Devineni for the processed climate data, and
   Xiao Zhu for sharing the calculated data of the GDD, CDD, and SDII
   climate indices. This work was partially funded by NSF EAR-1360446. We
   would like to thank the two anonymous reviewers for their helpful
   suggestions.
CR Aggarwal PK, 2006, AGR SYST, V89, P1, DOI 10.1016/j.agsy.2005.08.001
   Al-Kaisi M M, 2009, COLO STATE U EXT, V4, P4
   [Anonymous], WORLD WATER RESOURCE
   Anwar MR, 2007, FIELD CROP RES, V104, P139, DOI 10.1016/j.fcr.2007.03.020
   Bockhold DL, 2011, T ASABE, V54, P2021, DOI 10.13031/2013.40654
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Deryng D, 2014, GEOPHYS RES LETT, V9, P34011
   Devineni N, 2015, GEOPHYS RES LETT, V42, P2285, DOI 10.1002/2015GL063487
   Diodato N, 2007, AGR FOREST METEOROL, V144, P111, DOI 10.1016/j.agrformet.2007.02.001
   Döll P, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000355
   Grassini P, 2009, AGR FOREST METEOROL, V149, P1254, DOI 10.1016/j.agrformet.2009.02.012
   Green TR, 2004, HYDROL PROCESS, V18, P1447, DOI 10.1002/hyp.1422
   Hanjra MA, 2009, AGR WATER MANAGE, V96, P1596, DOI 10.1016/j.agwat.2009.06.008
   Hanjra MA, 2009, AGR WATER MANAGE, V96, P1062, DOI 10.1016/j.agwat.2009.03.001
   Hatfield JL, 2015, AGRON J, V107, P1215, DOI 10.2134/agronj15.0076
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Klomp J, 2018, WORLD DEV, V104, P404, DOI 10.1016/j.worlddev.2017.11.013
   Kuylenstierna J, 1998, WATER INT, V23, P17, DOI 10.1080/02508069808686730
   Legler DM, 1999, CLIMATIC CHANGE, V42, P351, DOI 10.1023/A:1005401101129
   Leng GY, 2017, SCI TOTAL ENVIRON, V607, P683, DOI 10.1016/j.scitotenv.2017.07.017
   Leng GY, 2017, SCI TOTAL ENVIRON, V605, P551, DOI 10.1016/j.scitotenv.2017.06.211
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Livneh B, 2013, J CLIMATE, V26, P9384, DOI 10.1175/JCLI-D-12-00508.1
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Luo QY, 2003, AGR SYST, V77, P173, DOI 10.1016/S0308-521X(02)00109-9
   Meza FJ, 2008, AGR SYST, V98, P21, DOI 10.1016/j.agsy.2008.03.005
   Molden D, 2010, AGR WATER MANAGE, V97, P528, DOI 10.1016/j.agwat.2009.03.023
   Ortiz R, 2008, AGR ECOSYST ENVIRON, V126, P46, DOI 10.1016/j.agee.2008.01.019
   Reddy VR, 2000, ENVIRON MODELL SOFTW, V15, P79, DOI 10.1016/S1364-8152(99)00011-0
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   Rosengrant M.K., 2002, World water and food to 2025
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Schauberger B, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms13931
   Schlenker W, 2007, CLIMATIC CHANGE, V81, P19, DOI 10.1007/s10584-005-9008-z
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Shiklomanov I.A., 1998, World Water Resources: A New Appraisal and Assessment for the 21st Century, P1
   Siebert S, 2010, J HYDROL, V384, P198, DOI 10.1016/j.jhydrol.2009.07.031
   Tack J, 2011, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8d27
   Tanner C. B., 1983, Limitations to efficient water use in crop production, P1
   Tolk JA, 1999, SOIL TILL RES, V50, P137, DOI 10.1016/S0167-1987(99)00011-2
   Tomlinson I, 2013, J RURAL STUD, V29, P81, DOI 10.1016/j.jrurstud.2011.09.001
   Troy TJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054013
   WARRICK AW, 1983, WATER RESOUR RES, V19, P181, DOI 10.1029/WR019i001p00181
   Yonts D C, 2009, PRODUCING IRRIGATED
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094021
NR 54
TC 46
Z9 52
U1 3
U2 57
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JUN
PY 2018
VL 13
IS 6
AR 064031
DI 10.1088/1748-9326/aac4b1
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GJ1AG
UT WOS:000434985200002
OA gold
DA 2025-01-10
ER

PT J
AU Lanza, K
   Stone, B
AF Lanza, Kevin
   Stone, Brian, Jr.
TI Climate adaptation in cities: What trees are suitable for urban heat
   management?
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Urban heat islands; Vegetation; Tree species distribution; Hardiness
   zones; Heat adaptation strategy
ID PLANT-DISTRIBUTION; ENVELOPE MODELS; CHANGE IMPACTS; ECOSYSTEM;
   COMMUNITIES; SHIFTS; AREAS; ZONES
AB Vegetative enhancement in the form of tree planting has been found to be a highly effective strategy for cooling urban environments, yet as cities continue to warm, the suitability of urban environments for some tree species is changing with shifting hardiness zones. Trees are assigned to hardiness zones, which are based on the average annual minimum temperature that a species can thrive. In recent decades, human induced global warming has shifted the location of hardiness zones across the United States. Our study examines the historical range of similar to 200 common US tree species and how climate change-induced shifts in hardiness zones are affecting historical tree ranges in 20 highly populated metropolitan statistical areas (MSAs) with high rates of urban heat island growth over time. MSAs are areas with at least one urban area of 50,000 or more people and adjoining territory that has a high degree of social and economic integration with the core. We found 6 of the 20 MSAs lost tree species, with the Atlanta (13.51%) and Washington DC (3.61%) MSAs suffering the greatest losses. If historical rates of hardiness zone migration continue, a simple projection exhibits >6% average tree species loss across all MSAs in the study. As hardiness zones continue to migrate northward with climate change, heat island mitigation and other environmental management strategies employing green infrastructure must identify tree species that are likely to remain well adapted to urban climates many years into the future. Published by Elsevier B.V.
C1 [Lanza, Kevin; Stone, Brian, Jr.] Georgia Inst Technol, Sch City & Reg Planning, Coll Architecture, 245 4th St NW,Suite 204, Atlanta, GA 30332 USA.
C3 University System of Georgia; Georgia Institute of Technology
RP Stone, B (corresponding author), Georgia Inst Technol, Sch City & Reg Planning, Coll Architecture, 245 4th St NW,Suite 204, Atlanta, GA 30332 USA.
EM lanza.kevin@gatech.edu; stone@gatech.edu
RI Lanza, Kevin/ABD-8011-2020
OI Lanza, Kevin/0000-0002-5259-6745
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   [Anonymous], 1422 NOAA NESDIS
   [Anonymous], 2007, URBAN COMMUNITY FORE, DOI DOI 10.1007/978-1-4020-4289-8_2
   [Anonymous], DIG REPR TREE SPEC R
   Arbor Day Foundation, WHAT TREE IS THAT
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cohen JE, 2003, SCIENCE, V302, P1172, DOI 10.1126/science.1088665
   Colorado State University, 2012, HERB PLANTS RIGHT PL
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Daly C, 2012, J APPL METEOROL CLIM, V51, P242, DOI 10.1175/2010JAMC2536.1
   EPA, 2013, ICLUS DAT NAT CLIM A
   EPA, 2015, US TREES VEG RED HEA
   GRAHAM RW, 1990, TRENDS ECOL EVOL, V5, P289, DOI 10.1016/0169-5347(90)90083-P
   GROFFMAN P.M., 2014, CLIMATE CHANGE IMPAC, P195, DOI DOI 10.7930/J0TD9V7H
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Hamann A, 2006, ECOLOGY, V87, P2773, DOI 10.1890/0012-9658(2006)87[2773:PEOCCO]2.0.CO;2
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Iverson LR, 2008, FOREST ECOL MANAG, V254, P390, DOI 10.1016/j.foreco.2007.07.023
   Kelly AE, 2008, P NATL ACAD SCI USA, V105, P11823, DOI 10.1073/pnas.0802891105
   Kirilenko AP, 2007, P NATL ACAD SCI USA, V104, P19697, DOI 10.1073/pnas.0701424104
   Mckenney DW, 2007, BIOSCIENCE, V57, P929, DOI 10.1641/B571105
   Melillo J. M., 2014, CLIMATE CHANGE IMPAC, P19
   Meyer JL, 1999, J AM WATER RESOUR AS, V35, P1373, DOI 10.1111/j.1752-1688.1999.tb04222.x
   MURRAY MB, 1989, J APPL ECOL, V26, P693, DOI 10.2307/2404093
   National Climatic Data Center, 2013, CLIM DAT ONL
   New York City Regional Heat Island Initiative, 2006, 0606 NEW YORK CIT RE
   Oke T.R., 1988, BOUNDARY LAYER CLIMA, V2nd
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Roman LA, 2011, URBAN FOR URBAN GREE, V10, P269, DOI 10.1016/j.ufug.2011.05.008
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Rosenfeld AH, 1998, ENERG BUILDINGS, V28, P51, DOI 10.1016/S0378-7788(97)00063-7
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Sakai A., 1978, New Zealand Journal of Ecology, V1, P51
   SAKAI A, 1973, ECOLOGY, V54, P118, DOI 10.2307/1934380
   Staley D.C., 2013, INT J LOW-CARBON TEC, P1
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Stone B, 2007, INT J CLIMATOL, V27, P1801, DOI 10.1002/joc.1555
   Theurillat JP, 2001, CLIMATIC CHANGE, V50, P77, DOI 10.1023/A:1010632015572
   USDA, 2014, PLANT GUID CHIN PRIV
   USDA Agricultural Research Service, 2014, USDA PLANT HARD ZON
   Waller RG, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090893
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   WOODWARD FI, 1987, VEGETATIO, V69, P189, DOI 10.1007/BF00038700
NR 46
TC 52
Z9 59
U1 8
U2 213
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD SEP
PY 2016
VL 153
BP 74
EP 82
DI 10.1016/j.landurbplan.2015.12.002
PG 9
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional
   & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public
   Administration; Urban Studies
GA DR1ZZ
UT WOS:000379705700007
DA 2025-01-10
ER

PT J
AU Henry, B
   Charmley, E
   Eckard, R
   Gaughan, JB
   Hegarty, R
AF Henry, Beverley
   Charmley, Ed
   Eckard, Richard
   Gaughan, John B.
   Hegarty, Roger
TI Livestock production in a changing climate: adaptation and mitigation
   research in Australia
SO CROP & PASTURE SCIENCE
LA English
DT Article
ID NITROUS-OXIDE EMISSIONS; GREENHOUSE-GAS EMISSIONS; ENTERIC METHANE
   EMISSIONS; AMMONIA-OXIDIZING BACTERIA; TEMPERATE PERENNIAL GRASS; CLOVER
   DAIRY PASTURES; LIFE-CYCLE ASSESSMENT; NITRIFICATION INHIBITOR; NORTHERN
   AUSTRALIA; GRAZED GRASSLAND
AB Climate change presents a range of challenges for animal agriculture in Australia. Livestock production will be affected by changes in temperature and water availability through impacts on pasture and forage crop quantity and quality, feed-grain production and price, and disease and pest distributions. This paper provides an overview of these impacts and the broader effects on landscape functionality, with a focus on recent research on effects of increasing temperature, changing rainfall patterns, and increased climate variability on animal health, growth, and reproduction, including through heat stress, and potential adaptation strategies. The rate of adoption of adaptation strategies by livestock producers will depend on perceptions of the uncertainty in projected climate and regional-scale impacts and associated risk. However, management changes adopted by farmers in parts of Australia during recent extended drought and associated heatwaves, trends consistent with long-term predicted climate patterns, provide some insights into the capacity for practical adaptation strategies.
   Animal production systems will also be significantly affected by climate change policy and national targets to address greenhouse gas emissions, since livestock are estimated to contribute similar to 10% of Australia's total emissions and 8-11% of global emissions, with additional farm emissions associated with activities such as feed production. More than two-thirds of emissions are attributed to ruminant animals. This paper discusses the challenges and opportunities facing livestock industries in Australia in adapting to and mitigating climate change. It examines the research needed to better define practical options to reduce the emissions intensity of livestock products, enhance adaptation opportunities, and support the continued contribution of animal agriculture to Australia's economy, environment, and regional communities.
C1 [Henry, Beverley] Queensland Univ Technol, Inst Sustainable Resources, Brisbane, Qld 4000, Australia.
   [Charmley, Ed] Australian Trop Sci Innovat Precinct, Sustainable Agr Flagship, Townsville, Qld 4814, Australia.
   [Eckard, Richard] Univ Melbourne, Parkville, Vic 3010, Australia.
   [Eckard, Richard] Dept Primary Ind, Parkville, Vic 3010, Australia.
   [Gaughan, John B.] Univ Queensland, Sch Agr & Food Sci, Gatton, Qld 4343, Australia.
   [Hegarty, Roger] Beef Ind Ctr Excellence Ind & Investment NSW, Armidale, NSW 2351, Australia.
C3 Queensland University of Technology (QUT); Commonwealth Scientific &
   Industrial Research Organisation (CSIRO); University of Melbourne;
   Department of Primary Industries & Regional Development NSW; University
   of Queensland; Department of Primary Industries & Regional Development
   NSW
RP Henry, B (corresponding author), Queensland Univ Technol, Inst Sustainable Resources, 2 George St, Brisbane, Qld 4000, Australia.
EM beverley.henry@qut.edu.au
RI Charmley, Ed/G-4427-2010; Gaughan, John/B-3484-2010; Eckard,
   Richard/M-9572-2014
OI Charmley, Ed/0000-0002-4189-1861
FU Climate Change Research Strategy for Primary Industries; Department of
   Agriculture, Fisheries and Forestry Climate Change Research, Rural
   Research and Development Corporations
FX We thank Dr Brian Keating, Director CSIRO Sustainable Agriculture
   Flagship for his insights and expert review. We acknowledge the support
   of the Climate Change Research Strategy for Primary Industries, funding
   from the Department of Agriculture, Fisheries and Forestry Climate
   Change Research Program, Rural Research and Development Corporations,
   and several Australian research institutes for national research
   programs in mitigation and adaptation, including the Reducing Emissions
   from Livestock Research Program, Nitrous Oxide Research Program, Soil
   Carbon Research Program, and the Southern and Northern Livestock
   Adaptation Programs, which have contributed to the results reported in
   this paper.
CR ABARE, 2006, AUSTR BEEF 06 1
   ABS, 2010, AGR COMM AUSTR
   Alcock D., 2006, Effects of pasture improvement on productivity, gross margin and methane emissions of a grazing sheep enterprise, V1293, P103, DOI DOI 10.1016/J.ICS.2006.01.080
   Alford AR, 2006, AUST J EXP AGR, V46, P813, DOI 10.1071/EA05300
   Andersen AN, 2009, ANAL GREENHOUSE GAS, P77
   [Anonymous], 2009, GLOBAL FOOD SECURITY
   [Anonymous], 2008, World Population Prospects: The 2008 Revision
   [Anonymous], 2006, EFFECTS CLIMATE CHAN
   [Anonymous], 2011, CLIMATE CHANGE REV U
   [Anonymous], CLIM CHANG AUSTR
   [Anonymous], 2006, Livestock's Long Shadow: Environmental Issues and Options, DOI DOI 10.1007/S10666-008-9149-3
   [Anonymous], DES CARB FARM IN CON
   Barlow S, 2010, NATL CLIMATE CHANGE
   Beauchemin KA, 2011, ANIM FEED SCI TECH, V166-67, P663, DOI 10.1016/j.anifeedsci.2011.04.047
   Bentley D, 2008, AUST J EXP AGR, V48, P60, DOI 10.1071/EA07210
   Beukes PC, 2009, P 18 WORLD IMACS MOD
   Bird S. H., 1985, Reviews in Rural Science, P109
   Birda SH, 2008, AUST J EXP AGR, V48, P152, DOI 10.1071/EA07298
   Bortolussi G, 2005, AUST J EXP AGR, V45, P1075, DOI 10.1071/EA03097
   Bray S., 2009, NET CARBON POSITION
   Buddle BM, 2011, VET J, V188, P11, DOI 10.1016/j.tvjl.2010.02.019
   Burrows DH, 2010, ANIMAL PROD IN PRESS, DOI [10.1071/AN09145, DOI 10.1071/AN09145]
   Castillo AR, 2000, J ANIM FEED SCI, V9, P1
   Charmley E, 2008, AUST J EXP AGR, V48, P109, DOI 10.1071/EA07264
   Cowie A, 2012, CROP PASTURE SCI, V63, P284, DOI 10.1071/CP11188
   Cruickshank G. J., 2009, Proceedings of the New Zealand Society of Animal Production, V69, P170
   [CSIRO Bureau of Meteorology], 2010, STAT CLIM
   Cullen BR, 2009, CROP PASTURE SCI, V60, P933, DOI 10.1071/CP09019
   Davis MS, 2003, J ANIM SCI, V81, P649
   DCCEE, 2010, AUSTR NAT GREENH ACC
   de Klein CAM, 2008, AUST J EXP AGR, V48, P14, DOI 10.1071/EA07217
   de Klein CAM, 2011, ANIM FEED SCI TECH, V166-67, P480, DOI 10.1016/j.anifeedsci.2011.04.076
   de Klein C.A.M., 2010, NITROUS OXIDE CLIMAT, P107
   de Klein CAM, 2001, J ROY SOC NEW ZEAL, V31, P543, DOI 10.1080/03014223.2001.9517667
   Di HJ, 2007, SOIL USE MANAGE, V23, P1, DOI 10.1111/j.1475-2743.2006.00057.x
   Di HJ, 2009, SOIL USE MANAGE, V25, P454, DOI 10.1111/j.1475-2743.2009.00241.x
   Di HJ, 2010, J SOIL SEDIMENT, V10, P943, DOI 10.1007/s11368-009-0174-x
   Donaghy P, 2010, SMALL-SCALE FOR, V9, P463, DOI 10.1007/s11842-010-9126-y
   EAMUS D, 1991, PLANT CELL ENVIRON, V14, P843, DOI 10.1111/j.1365-3040.1991.tb01447.x
   Eckard R., 2006, International Congress Series, V1293, P76, DOI [10.1016/j.ics.2006.01.027, DOI 10.1016/J.ICS.2006.01.027]
   Eckard RJ, 2007, AUST J AGR RES, V58, P1167, DOI 10.1071/AR07022
   Eckard RJ, 2011, ANIM FEED SCI TECH, V166-67, P736, DOI 10.1016/j.anifeedsci.2011.04.052
   Eckard RJ, 2010, LIVEST SCI, V130, P47, DOI 10.1016/j.livsci.2010.02.010
   Eckard RJ, 2003, AUST J AGR RES, V54, P561, DOI 10.1071/AR02100
   Galbally I., 2005, Environmental Sciences, V2, P133, DOI DOI 10.1080/15693430500395396
   Gaughan J, 2009, Biometeorology for adaptation to climate variability and change, V1st
   Gaughan JB, 2010, J ANIM SCI, V88, P4056, DOI 10.2527/jas.2010-2987
   Gaughan JB, 1999, J ANIM SCI, V77, P2398
   Grainger C, 2008, AUST J EXP AGR, V48, P73, DOI 10.1071/EA07224
   Grainger C, 2011, ANIM FEED SCI TECH, V166-67, P308, DOI 10.1016/j.anifeedsci.2011.04.021
   Harle KJ, 2007, AGR SYST, V93, P61, DOI 10.1016/j.agsy.2006.04.003
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   Henry B, 2009, TROP GRASSLANDS, V43, P232
   Hoffmann I, 2010, ANIM GENET, V41, P32, DOI 10.1111/j.1365-2052.2010.02043.x
   Howden SM, 2008, AUST J EXP AGR, V48, P780, DOI 10.1071/EA08033
   Hunter RA, 2009, RECENT ADV ANIMAL NU, V17, P75
   International Energy Agency, 2011, WORLD AGR 2030 2050
   JONES BA, 1995, J SCI FOOD AGR, V67, P329, DOI 10.1002/jsfa.2740670309
   Jones RJ, 2009, ANIM PROD SCI, V49, P643, DOI 10.1071/EA08274
   Kassahn KS, 2009, BIOL REV, V84, P277, DOI 10.1111/j.1469-185X.2008.00073.x
   Kelly KB, 2008, AUST J EXP AGR, V48, P156, DOI 10.1071/EA07251
   Lawson AR, 2009, CROP PASTURE SCI, V60, P407, DOI 10.1071/CP08243
   Ledgard SF, 2008, AGR ECOSYST ENVIRON, V125, P148, DOI 10.1016/j.agee.2007.12.006
   Liedloff AC, 2010, ECOL MODEL, V221, P2565, DOI 10.1016/j.ecolmodel.2010.07.022
   Marcogliese DJ, 2001, CAN J ZOOL, V79, P1331, DOI 10.1139/cjz-79-8-1331
   Martin C, 2010, ANIMAL, V4, P351, DOI 10.1017/S1751731109990620
   McAllister TA, 2008, AUST J EXP AGR, V48, P7, DOI 10.1071/EA07218
   McKeon GM, 2009, RANGELAND J, V31, P1, DOI 10.1071/RJ08068
   Mills JN, 2010, ENVIRON HEALTH PERSP, V118, P1507, DOI 10.1289/ehp.0901389
   Moate PJ, 2011, ANIM FEED SCI TECH, V166-67, P254, DOI 10.1016/j.anifeedsci.2011.04.069
   Mosier A. R., 1983, Ecological Bulletins (Stockholm), P229
   Nienaber JA, 2007, INT J BIOMETEOROL, V52, P149, DOI 10.1007/s00484-007-0103-x
   O'Mara FP, 2011, ANIM FEED SCI TECH, V166-67, P7, DOI 10.1016/j.anifeedsci.2011.04.074
   Patz JA, 2008, MED CLIN N AM, V92, P1473, DOI 10.1016/j.mcna.2008.07.007
   Peters GM, 2010, ENVIRON SCI TECHNOL, V44, P1327, DOI 10.1021/es901131e
   Pitesky ME, 2009, ADV AGRON, V103, P1, DOI 10.1016/S0065-2113(09)03001-6
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Qiu WH, 2010, J SOIL SEDIMENT, V10, P1229, DOI 10.1007/s11368-010-0242-2
   Rae A., 2010, Livestock in a changing landscape, Volume 1: drivers, consequences and responses, P11
   Renaudeau D., 2010, Adv. Anim. Biosci, V1, P378, DOI [10.2527/jas.2009-2169, DOI 10.2527/JAS.2009-2169, DOI 10.1017/S2040470010000075]
   Rolfe J, 2010, RANGELAND J, V32, P197, DOI 10.1071/RJ09026
   Rötter R, 1999, CLIMATIC CHANGE, V43, P651, DOI 10.1023/A:1005541132734
   Russell-Smith J, 2009, INT J WILDLAND FIRE, V18, P1, DOI 10.1071/WF08009
   Smith LC, 2008, NEW ZEAL J AGR RES, V51, P387, DOI 10.1080/00288230809510469
   St-Pierre NR, 2003, J DAIRY SCI, V86, pE52, DOI 10.3168/jds.S0022-0302(03)74040-5
   Stokes CJ, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P153
   Sutherst RW, 2001, INT J PARASITOL, V31, P933, DOI 10.1016/S0020-7519(01)00203-X
   Tabachnick WJ, 2010, J EXP BIOL, V213, P946, DOI 10.1242/jeb.037564
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Wedlock DN, 2010, NEW ZEAL VET J, V58, P29, DOI 10.1080/00480169.2010.65058
   Whitehead D.C., 1995, GRASSLAND NITROGEN
   Williams RJ, 2004, FUNCT PLANT BIOL, V31, P415, DOI 10.1071/FP03215
   WINTER WH, 1990, TROP GRASSLANDS, V24, P170
NR 93
TC 117
Z9 127
U1 10
U2 185
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1836-0947
EI 1836-5795
J9 CROP PASTURE SCI
JI Crop Pasture Sci.
PY 2012
VL 63
IS 3
SI SI
BP 191
EP 202
DI 10.1071/CP11169
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 948FT
UT WOS:000304489700003
OA hybrid
DA 2025-01-10
ER

PT J
AU Han, ZG
   Si, ZF
   Rahman, MU
   He, L
   Li, YQ
   Khan, AQ
   Mao, Y
   Zulfiqar, S
   Ishfaq, S
   Mohsan, M
   Iqbal, MA
   Zafar, S
   Hu, Y
   Zhang, TZ
AF Han, Zegang
   Si, Zhanfeng
   Rahman, Mehboob-ur
   He, Lu
   Li, Yiqian
   Khan, Ali Qaiser
   Mao, Yun
   Zulfiqar, Sana
   Ishfaq, Shumila
   Mohsan, Muhammad
   Iqbal, Muhammad Atif
   Zafar, Saba
   Hu, Yan
   Zhang, Tianzhen
TI Genomic insights into local adaptation of upland cotton in China and
   Pakistan
SO THEORETICAL AND APPLIED GENETICS
LA English
DT Article
ID SELECTION; FORMAT; MODEL
AB Key messageDifferent kinship and resistance to cotton leaf curl disease (CLCuD) and heat were found between upland cotton cultivars from China and Pakistan. 175 SNPs and 82 InDels loci related to yield, fiber quality, CLCuD, and heat resistance were identified. Elite alleles found in Pakistani accessions aided local adaptation to climatic condition of two countries.AbstractAdaptation of upland cotton (Gossypium hirsutum) beyond its center of origin is expected to be driven by tailoring of the genome and genes to enhance yield and quality in new ecological niches. Here, resequencing of 456 upland cotton accessions revealed two distinct kinships according to the associated country. Fiber quality and lint percentage were consistent across kinships, but resistance to cotton leaf curl disease (CLCuD) and heat was distinctly exhibited by accessions from Pakistan, illustrating highly local adaption. A total of 175 SNP and 82 InDel loci related to yield, fiber quality, CLCuD and heat resistance were identified; among them, only two overlapped between Pakistani and Chinese accessions underscoring the divergent domestication and improvement targets in each country. Loci associated with resistance alleles to leaf curl disease and high temperature were largely found in Pakistani accessions to counter these stresses prevalent in Pakistan. These results revealed that breeding activities led to the accumulation of unique alleles and helped upland cotton become adapted to the respective climatic conditions, which will contribute to elucidating the genetic mechanisms that underlie resilience traits and help develop climate-resilient cotton cultivars for use worldwide.
C1 [Han, Zegang; Si, Zhanfeng; He, Lu; Li, Yiqian; Mao, Yun; Hu, Yan; Zhang, Tianzhen] Zhejiang Univ, Adv Seed Inst, Plant Precis Breeding Acad, Coll Agr & Biotechnol,Zhejiang Prov Key Lab Crop G, Hangzhou, Peoples R China.
   [Rahman, Mehboob-ur; Khan, Ali Qaiser; Zulfiqar, Sana; Ishfaq, Shumila; Mohsan, Muhammad; Iqbal, Muhammad Atif; Zafar, Saba] Pakistan Inst Engn & Appl Sci PIEAS, Natl Inst Biotechnol & Genet Engn Coll NIBGE C, Plant Genom & Mol Breeding Lab, Faisalabad, Pakistan.
C3 Zhejiang University
RP Hu, Y; Zhang, TZ (corresponding author), Zhejiang Univ, Adv Seed Inst, Plant Precis Breeding Acad, Coll Agr & Biotechnol,Zhejiang Prov Key Lab Crop G, Hangzhou, Peoples R China.
EM 0016211@zju.edu.cn; cotton@zju.edu.cn
RI Afzal, Muhammad/AAA-6677-2020; Iqbal, Muhammad Atif/HDO-5900-2022; Han,
   Zegang/AEU-8445-2022
OI Zulfiqar, Dr. Sana/0000-0002-7460-7345; Han, Zegang/0000-0003-2244-5994
FU National Science Foundation of China and Pakistan Science Foundation
FX No Statement Available
CR [Anonymous], 1989, Cladistics
   Briddon RW, 2000, VIRUS RES, V71, P151, DOI 10.1016/S0168-1702(00)00195-7
   Cai JH, 2010, PLANT PATHOL, V59, P794, DOI 10.1111/j.1365-3059.2010.02266.x
   Chen Guang, 2006, Acta Genetica Sinica, V33, P733, DOI 10.1016/S0379-4172(06)60106-6
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Fang L, 2017, NAT GENET, V49, P1089, DOI 10.1038/ng.3887
   Fang L, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1167-5
   Gou MY, 2023, J INTEGR PLANT BIOL, V65, P594, DOI 10.1111/jipb.13419
   Han ZG, 2022, IND CROP PROD, V183, DOI 10.1016/j.indcrop.2022.114929
   Han ZG, 2020, PLANT BIOTECHNOL J, V18, P2002, DOI 10.1111/pbi.13356
   He SP, 2021, NAT GENET, V53, P916, DOI 10.1038/s41588-021-00844-9
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hu Y, 2019, NAT GENET, V51, P739, DOI 10.1038/s41588-019-0371-5
   Huang ZK., 2007, COTTON VARIETIES THE
   Huson DH, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-460
   Kadota Y, 2019, NEW PHYTOL, V221, P2160, DOI 10.1111/nph.15523
   Kang HM, 2010, NAT GENET, V42, P348, DOI 10.1038/ng.548
   Kimura S, 2020, PLANT CELL, V32, P1063, DOI 10.1105/tpc.19.00525
   Li C, 2014, PLANT PHYSIOL, V166, P2179, DOI 10.1104/pp.114.246694
   Li H, 2010, BIOINFORMATICS, V26, P589, DOI 10.1093/bioinformatics/btp698
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li YQ, 2023, MOL PLANT, V16, P662, DOI 10.1016/j.molp.2023.01.012
   Li ZH, 2020, NEW PHYTOL, V226, P1738, DOI 10.1111/nph.16468
   Ma ZY, 2018, NAT GENET, V50, P803, DOI 10.1038/s41588-018-0119-7
   Mehboob-ur-Rahman, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01157
   Moutherat C, 2002, J ARCHAEOL SCI, V29, P1393
   Paterson A. H., 1993, Plant Molecular Biology Reporter, V11, P122, DOI 10.1007/BF02670470
   Poland JA, 2011, P NATL ACAD SCI USA, V108, P6893, DOI 10.1073/pnas.1010894108
   Rahman MU., 2021, Cotton precision breeding
   Razzaq A, 2021, J COTTON RES, V4, DOI 10.1186/s42397-020-00077-x
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Shahzad K, 2022, J COTTON RES, V5, DOI 10.1186/s42397-022-00137-4
   Teskey R, 2015, PLANT CELL ENVIRON, V38, P1699, DOI 10.1111/pce.12417
   Thatcher LF, 2016, J EXP BOT, V67, P2367, DOI 10.1093/jxb/erw040
   Tian X.M., 2016, XINJIANG COTTON THEO
   Todesco M, 2020, NATURE, V584, P602, DOI 10.1038/s41586-020-2467-6
   Wang K, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq603
   Wang MJ, 2017, NAT GENET, V49, P579, DOI 10.1038/ng.3807
   Yang J, 2014, NAT GENET, V46, P100, DOI 10.1038/ng.2876
   Yang JA, 2011, AM J HUM GENET, V88, P76, DOI 10.1016/j.ajhg.2010.11.011
   Yang ZE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10820-x
   Zhao J, 2022, PLANT PHYSIOL, V190, P714, DOI 10.1093/plphys/kiac277
   Zhou H, 2011, STAT COMPUT, V21, P261, DOI 10.1007/s11222-009-9166-3
   Zou YP, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1378-9
NR 44
TC 0
Z9 0
U1 1
U2 6
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0040-5752
EI 1432-2242
J9 THEOR APPL GENET
JI Theor. Appl. Genet.
PD JUN
PY 2024
VL 137
IS 6
AR 136
DI 10.1007/s00122-024-04624-x
PG 14
WC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Genetics & Heredity
GA RJ9N5
UT WOS:001227415300001
PM 38764078
DA 2025-01-10
ER

PT J
AU Kalymbetov, GY
   Kedelbayev, BS
   Yelemanova, ZR
   Sapargaliyeva, B
AF Kalymbetov, Gani Yeskermesovich
   Kedelbayev, Bakhytzhan Shilmyrzaevich
   Yelemanova, Zhanar Rakhmanberdievna
   Sapargaliyeva, Bayan
TI Effects of Different Biostimulants on Seed Germination of Sorghum Plants
SO JOURNAL OF ECOLOGICAL ENGINEERING
LA English
DT Article
DE sorghum; microbiome; nitrogen bacteria; biostimulator; incrustation;
   germination energy
ID GROWTH-PROMOTING RHIZOBACTERIA
AB By creating highly productive phytobiomes, selection of new types of biostimulants on the basis of organic substances and microorganism has a decisive role. It could be done by taking into account natural and climatic peculiarities of the region. The article described the importance of sugar sorghum and substantiates the introduction of an adaptive variety to increase the productivity of fodder sorghum and the best option of using growth biostimulants. The results of evaluating the effectiveness of growth biostimulants under laboratory conditions on the main nutritional valuable traits were presented. The treatment of optimal parameters of sugar sorghum seeds with biostimulants in the Research laboratory "Industrial biotechnology" of M. Auezov South Kazakhstan University was determined. It was shown that the "Azotofertil" biostimulator has a high efficiency in pre-sowing seed treatment. For comparative evaluation of potentialities of new biostimulant, MERS biostimulant adapted to climatic conditions was chosen. According to research results, both biostimulants showed high efficiency for seed pre-sowing treatment. The best concentration for treatment of planting material was established. Energy of germination, swelling and the number of germination of seeds of sugar sorghum variety Kazakhstan-16 were determined. In evaluating the activity of biostimulants for efficiency, the dynamics of their friendly germination was traced. At 4% concentration and temperature above 14 degrees C, the advantage of "Azotofertil" biostimulator based on Azotobacter chroococcum strain was proven. Seeds of sugar sorghum variety Kazakhstan-16 showed the best results with 96 +/- 3% germination.
C1 [Kalymbetov, Gani Yeskermesovich; Kedelbayev, Bakhytzhan Shilmyrzaevich; Yelemanova, Zhanar Rakhmanberdievna] M Auezov State Univ, 5 Tauke Khan Ave, Shymkent 160012, Kazakhstan.
   [Sapargaliyeva, Bayan] Abai Kazakh Natl Pedag Univ, 13 Dostyk Ave Almaty, Alma Ata 050010, Kazakhstan.
C3 Abai Kazakh National Pedagogical University
RP Kalymbetov, GY (corresponding author), M Auezov State Univ, 5 Tauke Khan Ave, Shymkent 160012, Kazakhstan.
EM gani_himik@mail.ru
RI Kalymbetov, Gani/HRB-9720-2023; Sapargaliyeva, Bayan/AGM-5968-2022
OI Kalymbetov, Gani/0000-0002-0983-2044
CR Aliyu IA, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0218969
   Bakker MG, 2012, PLANT SOIL, V360, P1, DOI 10.1007/s11104-012-1361-x
   Bhattacharyya PN, 2012, WORLD J MICROB BIOT, V28, P1327, DOI 10.1007/s11274-011-0979-9
   Bloemberg GV, 2001, CURR OPIN PLANT BIOL, V4, P343, DOI 10.1016/S1369-5266(00)00183-7
   Chaparro JM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055731
   Chen DQ, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10010072
   Ding XW, 2021, APPL MICROBIOL BIOT, V105, P8545, DOI 10.1007/s00253-021-11629-9
   Gislason AS, 2020, J MED MICROBIOL, V69, P347, DOI 10.1099/jmm.0.001145
   Gouda S, 2018, MICROBIOL RES, V206, P131, DOI 10.1016/j.micres.2017.08.016
   Hodosan Marin M. C., 2016, ANIMAL SCI, V59, P4
   Kashyap PL, 2017, WORLD J MICROB BIOT, V33, DOI 10.1007/s11274-017-2319-1
   Li TD, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10091802
   Methodological note, 2020, SDG IND 2 4 1 PROP A
   Mwita L, 2016, GENE, V590, P18, DOI 10.1016/j.gene.2016.05.045
   Register, STAT COMM VAR TEST A
   Rugova A, 2017, ANAL CHIM ACTA, V956, P1, DOI 10.1016/j.aca.2016.12.044
   Shi P, 2022, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.747982
   Sun LJ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91003-x
   Vejan P, 2016, MOLECULES, V21, DOI 10.3390/molecules21050573
   Zboralski A, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10010187
   Zhang N, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1825-5
NR 21
TC 4
Z9 4
U1 4
U2 9
PU POLISH SOC ECOLOGICAL ENGINEERING-PTIE
PI LUBLIN
PA LUBLIN UNIV TECHNOLOGY, ENVIRONMENTAL ENGINEERING FAC, NADBYSTRZYCKA
   40B, LUBLIN, 20618, POLAND
SN 2299-8993
J9 J ECOL ENG
JI J. Ecol. Eng.
PY 2023
VL 24
IS 3
BP 134
EP 142
DI 10.12911/22998993/157568
PG 9
WC Engineering, Environmental
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA D0BF0
UT WOS:000965459700013
OA gold
DA 2025-01-10
ER

PT J
AU Haque, AN
   Bithell, M
   Richards, KS
AF Haque, Anika Nasra
   Bithell, Mike
   Richards, Keith S.
TI Adaptation to flooding in low-income urban settlements in the least
   developed countries: A systems approach
SO GEOGRAPHICAL JOURNAL
LA English
DT Article
DE adaptation; Dhaka; flooding; least developed countries; low-income urban
   settlements; systems analysis
AB This study aims to use a whole systems approach (1) to understand the processes of adaptation to flooding of the urban poor; (2) to identify new knowledge of how low-income settlements might better adapt to climatic risks; and (3) to begin to develop appropriate guidance on this. Low-income urban settlements in the least developed countries (LDCs) present an extreme case where catastrophic natural hazards and chronic social hazards overlap. These low-income urban populations face the greatest adaptation challenges as they often occupy informal settlements that are particularly exposed to hazards, and have multiple vulnerabilities arising from their lack of basic services. There is a dynamic complexity of issues arising from the many levels of actor involved and multiple social and physical factors. Analysing such a complex phenomenon calls for a specific conceptual framing, and a systems theory approach is suggested to provide a holistic perspective. The case study for this research is located in Dhaka East, where there is both high vulnerability to flooding, and a significant low-income population. The research has adopted a mixed methods approach involving different data collection methods governed by the different scales and actors being investigated. The research develops new systems understandings of perceptions and experiences of the local population about adaptation processes in low-income urban settlements, and how these processes may be positively influenced by integrating bottom-up and top-down approaches.
C1 [Haque, Anika Nasra; Bithell, Mike; Richards, Keith S.] Univ Cambridge, Dept Geog, Cambridge, England.
C3 University of Cambridge
RP Haque, AN (corresponding author), Univ Cambridge, Dept Geog, Cambridge, England.
EM anh31@cam.ac.uk
RI Haque, Anika/HPF-4453-2023
OI Haque, Anika/0000-0002-0717-376X
FU Schlumberger Foundation
FX Schlumberger Foundation
CR Adger W. N., 2002, 16 U E ANGL TYND CTR
   [Anonymous], HUMAN SETTLEMENTS DI
   [Anonymous], 2001, 8 U E ANGL TYND CTR
   [Anonymous], 2015, CODING MANUAL QUALIT
   [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], CLIM CHANG 2013
   Bahadur AV, 2014, URBAN CLIM, V7, P20, DOI 10.1016/j.uclim.2013.08.004
   Bene C., 2014, 63 IDS
   Bicknell J., 2010, ADAPTING CITIES CLIM
   BRAC, 2012, STAT CIT URB GOV DHA
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Cartwright N., 2013, EVIDENCE BASED POLIC, P196
   Doocy Shannon, 2013, PLoS Curr, V5, DOI [10.1371/currents.dis.67bd14fe457f1db0b5433a8ee20fb833, 10.1371/currents.dis.f4deb457904936b07c09daa98ee8171a]
   Durand Lasserve A., 2002, HOLDING THEIR GROUND
   Eisenack K., 2009, EUR ASS ENV RES EC A
   Forsyth T, 2013, WORLD DEV, V43, P56, DOI 10.1016/j.worlddev.2012.11.010
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Gephart RP, 2004, ACAD MANAGE J, V47, P454, DOI 10.5465/AMJ.2004.14438580
   Halcrow Group, 2006, UPD GRAD FEAS STUD D
   Haque A.N., 2010, IHS WORKING PAPERS, V25
   Haque AN, 2012, ENVIRON URBAN, V24, P197, DOI 10.1177/0956247811433538
   Iftekharuzzaman, 2011, CORRUPTION ANTI CORR
   Jordan J.S., 1998, System Theories and A Priori Aspects of Perception
   Meadows DH, 2008, THINKING SYSTEMS PRI
   Mele C., 2010, Service Science, V2, P126, DOI [10.1287/serv.2.12.126, DOI 10.1287/SERV.2.12.126]
   Mitlin D., 2004, Understanding Urban Poverty; What the Poverty Reduction Strategy Papers Tell Us (IIED Working Paper 13 on Poverty Reduction in Urban Areas)
   Neumayer E, 2007, ANN ASSOC AM GEOGR, V97, P551, DOI 10.1111/j.1467-8306.2007.00563.x
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Rabbani G, 2011, LOCAL SUSTAIN, V1, P531, DOI 10.1007/978-94-007-0785-6_52
   Rigon A, 2014, DEV CHANGE, V45, P257, DOI 10.1111/dech.12078
   Strauss A. L., 2010, GROUNDED THEORY PRAC, P288
   Sverdrup H.U., 2017, Biophysical Economics and Resource Quality, V2, P8, DOI [DOI 10.1007/S41247-017-0023-2, 10.1057/s11369-017-0023-7, DOI 10.1057/S11369-017-0023-7]
   Wynne Brian., 1996, RISK ENV MODERNITY N, P44
NR 33
TC 5
Z9 5
U1 0
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0016-7398
EI 1475-4959
J9 GEOGR J
JI Geogr. J.
PD SEP
PY 2020
VL 186
IS 3
BP 314
EP 326
DI 10.1111/geoj.12348
EA JUN 2020
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA NB5BP
UT WOS:000539090500001
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Moran, EV
   Reid, A
   Levine, JM
AF Moran, Emily V.
   Reid, Andrea
   Levine, Jonathan M.
TI Population genetics and adaptation to climate along elevation gradients
   in invasive <i>Solidago canadensis</i>
SO PLOS ONE
LA English
DT Article
ID RANGE EXPANSION; SPECIES RANGE; EXPERIMENTAL DEMOGRAPHY; SEXUAL
   REPRODUCTION; MICROSATELLITE LOCI; INCREASES FITNESS; FOREST TREES;
   PLANT; EVOLUTION; FLOW
AB Gene flow between populations may either support local adaptation by supplying genetic variation on which selection may act, or counteract it if maladapted alleles arrive faster than can be purged by selection. Although both such effects have been documented within plant species' native ranges, how the balance of these forces influences local adaptation in invasive plant populations is less clear, in part because introduced species often have lower genetic variation initially but also tend to have good dispersal abilities. To evaluate the extent of gene flow and adaptation to local climate in invasive populations of Solidago canadensis, and the implications of this for range expansion, we compared population differentiation at microsatellite and chloroplast loci for populations across Switzerland and assessed the effect of environmental transfer distance using common gardens. We found that while patterns of differentiation at neutral genetic markers suggested that populations are connected through extensive pollen and seed movement, common-garden plants nonetheless exhibited modest adaptation to local climate conditions. Growth rate and flower production declined with climatic distance from a plant's home site, with clones from colder home sites performing better at or above the range limit. Such adaptation in invasive species is likely to promote further spread, particularly under climate change, as the genotypes positioned near the range edge may be best able to take advantage of lengthening growing seasons to expand the range.
C1 [Moran, Emily V.] Univ Calif Merced, Life & Environm Sci, Merced, CA 95340 USA.
   [Reid, Andrea; Levine, Jonathan M.] Swiss Fed Inst Technol, Biol, Zurich, Switzerland.
C3 University of California System; University of California Merced; Swiss
   Federal Institutes of Technology Domain; ETH Zurich
RP Moran, EV (corresponding author), Univ Calif Merced, Life & Environm Sci, Merced, CA 95340 USA.
EM emoran5@ucmerced.edu
RI Levine, Jonathan/A-7167-2014
OI Levine, Jonathan/0000-0003-2857-7904; Moran, Emily/0000-0003-4624-1910
FU CCES (ETH Competence Center for Environment and Sustainability project
   GeneMig); Zurich-Basel Plant Science Center
FX This work was supported by CCES (ETH Competence Center for Environment
   and Sustainability project GeneMig) and the Plant Fellows program of the
   Zurich-Basel Plant Science Center. The funders had no role in study
   design, data collection and analysis, decision to publish, or
   preparation of the manuscript. This research was funded by CCES (ETH
   Competence Center for Environment and Sustain ability project GeneMig)
   and the Plant Fellows program of the Zurich-Basel Plant Science Center.
   We would also like to thank the Gemeinde of Untervaz and BAFU (Swiss
   Federal Office for the Environment) for allowing us to conduct the
   common garden experiment, and to Janine Bolliger at WSL for providing
   the climate data. All molecular work was conducted at the ETH Genetic
   Diversity Centre (GDC) in Zurich.
CR Alexander JM, 2009, DIVERS DISTRIB, V15, P502, DOI 10.1111/j.1472-4642.2008.00555.x
   [Anonymous], 2015, BAYESIAN MODELS STAT, DOI DOI 10.1515/9781400866557
   Beck JB, 2015, APPL PLANT SCI, V3, DOI 10.3732/apps.1500014
   Becker T, 2005, PERSPECT PLANT ECOL, V7, P173, DOI 10.1016/j.ppees.2005.09.006
   Bell G, 2009, ECOL LETT, V12, P942, DOI 10.1111/j.1461-0248.2009.01350.x
   Bolliger J, 2000, REG ENVIRON CHANGE, V1, P99, DOI 10.1007/s101130000018
   Bossdorf O, 2008, ECOL LETT, V11, P106, DOI 10.1111/j.1461-0248.2007.01130.x
   Bridle JR, 2007, TRENDS ECOL EVOL, V22, P140, DOI 10.1016/j.tree.2006.11.002
   Bridle JR, 2010, ECOL LETT, V13, P485, DOI 10.1111/j.1461-0248.2010.01442.x
   Bridle JR, 2009, P ROY SOC B-BIOL SCI, V276, P1507, DOI 10.1098/rspb.2008.1601
   Chun YJ, 2010, NEW PHYTOL, V185, P1100, DOI 10.1111/j.1469-8137.2009.03129.x
   Clark JS, 2005, ECOL LETT, V8, P2, DOI 10.1111/j.1461-0248.2004.00702.x
   Clark JS, 1998, AM NAT, V152, P204, DOI 10.1086/286162
   Clark JS, 2001, AM NAT, V157, P537, DOI 10.1086/319934
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Dawson MN, 2010, MOL ECOL, V19, P1585, DOI 10.1111/j.1365-294X.2010.04588.x
   Diniz JAF, 2013, GENET MOL BIOL, V36, P475, DOI 10.1590/S1415-47572013000400002
   Dlugosch KM, 2008, ECOL LETT, V11, P701, DOI 10.1111/j.1461-0248.2008.01181.x
   Dong M, 2006, PLANT SPEC BIOL, V21, P13, DOI 10.1111/j.1442-1984.2006.00146.x
   Doyle JJ., 1987, PHYTOCHEM BULLET, V19, P11
   Ellstrand NC, 2014, AM J BOT, V101, P737, DOI 10.3732/ajb.1400024
   Ferrer MM, 2007, NEW PHYTOL, V173, P401, DOI 10.1111/j.1469-8137.2006.01905.x
   Garant D, 2007, FUNCT ECOL, V21, P434, DOI 10.1111/j.1365-2435.2006.01228.x
   Gelfand AE, 1998, BIOMETRIKA, V85, P1, DOI 10.1093/biomet/85.1.1
   Greenleaf SS, 2007, OECOLOGIA, V153, P589, DOI 10.1007/s00442-007-0752-9
   Griffith TM, 2006, AM NAT, V167, P153, DOI 10.1086/498945
   Hamrick JL, 2004, FOREST ECOL MANAG, V197, P323, DOI 10.1016/j.foreco.2004.05.023
   HARTNETT DC, 1985, J ECOL, V73, P407, DOI 10.2307/2260483
   Holderegger R, 2006, LANDSCAPE ECOL, V21, P797, DOI 10.1007/s10980-005-5245-9
   Holt RD, 2004, AM NAT, V163, P253, DOI 10.1086/381408
   Jost L, 2008, MOL ECOL, V17, P4015, DOI 10.1111/j.1365-294X.2008.03887.x
   Kawecki TJ, 2008, ANNU REV ECOL EVOL S, V39, P321, DOI 10.1146/annurev.ecolsys.38.091206.095622
   Keller SR, 2010, J EVOLUTION BIOL, V23, P1720, DOI 10.1111/j.1420-9101.2010.02037.x
   Kimbrell T, 2007, AM NAT, V169, P370, DOI 10.1086/511314
   Kirkpatrick M, 1997, AM NAT, V150, P1, DOI 10.1086/286054
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Kress WJ, 2005, P NATL ACAD SCI USA, V102, P8369, DOI 10.1073/pnas.0503123102
   Lambrinos JG, 2004, ECOLOGY, V85, P2061, DOI 10.1890/03-8013
   Leites LP, 2012, ECOL APPL, V22, P154, DOI 10.1890/11-0150.1
   Lembrechts JJ, 2016, ECOGRAPHY
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   MELVILLE MR, 1982, CAN J BOT, V60, P976, DOI 10.1139/b82-123
   Meyer AH, 1999, J ECOL, V87, P17, DOI 10.1046/j.1365-2745.1999.00315.x
   Meyer AH, 1999, J ECOL, V87, P42, DOI 10.1046/j.1365-2745.1999.00317.x
   MILLIGAN BG, 1994, MOL ECOL, V3, P423, DOI 10.1111/j.1365-294X.1994.tb00082.x
   Moran EV, 2014, ECOL LETT, V17, P637, DOI 10.1111/ele.12262
   Muller G., 2013, THESIS
   North A, 2011, EVOLUTION, V65, P79, DOI 10.1111/j.1558-5646.2010.01107.x
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Petit RJ, 2005, MOL ECOL, V14, P689, DOI 10.1111/j.1365-294X.2004.02410.x
   Polechová J, 2015, P NATL ACAD SCI USA, V112, P6401, DOI 10.1073/pnas.1421515112
   PONS O, 1995, THEOR APPL GENET, V90, P462, DOI 10.1007/BF00221991
   Pons O, 1996, GENETICS, V144, P1237
   PORS B, 1989, AM J BOT, V76, P1681, DOI 10.2307/2444406
   Prentis PJ, 2008, TRENDS PLANT SCI, V13, P288, DOI 10.1016/j.tplants.2008.03.004
   Räsänen K, 2008, ECOL LETT, V11, P624, DOI 10.1111/j.1461-0248.2008.01176.x
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   REHFELDT GE, 1984, BOT GAZ, V145, P229, DOI 10.1086/337451
   Rejmanek M, 1996, ECOLOGY, V77, P1655, DOI 10.2307/2265768
   Rousset F, 1997, GENETICS, V145, P1219
   Sakai AK, 2001, ANNU REV ECOL SYST, V32, P305, DOI 10.1146/annurev.ecolsys.32.081501.114037
   Sambatti JBM, 2006, EVOLUTION, V60, P696, DOI 10.1111/j.0014-3820.2006.tb01149.x
   Schlaepfer DR, 2008, MOL ECOL, V17, P5245, DOI 10.1111/j.1365-294X.2008.03980.x
   Seipel T, 2016, PERSPECT PLANT ECOL, V20, P46, DOI 10.1016/j.ppees.2016.04.001
   Seipel T, 2012, GLOBAL ECOL BIOGEOGR, V21, P236, DOI 10.1111/j.1466-8238.2011.00664.x
   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
   Sexton JP, 2009, ANNU REV ECOL EVOL S, V40, P415, DOI 10.1146/annurev.ecolsys.110308.120317
   Tackenberg O, 2003, ECOL MONOGR, V73, P191, DOI 10.1890/0012-9615(2003)073[0191:AOWDPI]2.0.CO;2
   Thornton PE, 1997, J HYDROL, V190, P214, DOI 10.1016/S0022-1694(96)03128-9
   Thuillet AC, 2002, MOL BIOL EVOL, V19, P122, DOI 10.1093/oxfordjournals.molbev.a003977
   Torriani DS, 2007, CLIM RES, V34, P59, DOI 10.3354/cr034059
   Trapnell DW, 2004, MOL ECOL, V13, P2655, DOI 10.1111/j.1365-294X.2004.02281.x
   van Kleunen M, 2003, ECOLOGY, V84, P2816, DOI 10.1890/02-0494
   van Kleunen M, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.1487
   Wang IJ, 2013, EVOLUTION, V67, P3403, DOI 10.1111/evo.12134
   Weber E, 1998, AM J BOT, V85, P1110, DOI 10.2307/2446344
   Weber E, 1997, BOT J LINN SOC, V123, P197, DOI 10.1006/bojl.1996.0086
   Weber E, 2001, CONSERV BIOL, V15, P122, DOI 10.1046/j.1523-1739.2001.99424.x
   Whitlock MC, 2011, MOL ECOL, V20, P1083, DOI 10.1111/j.1365-294X.2010.04996.x
   Wieczorek AM, 2002, MOL ECOL NOTES, V2, P554, DOI 10.1046/j.1471-8286.2002.00316.x
   YANG SS, 1995, AGR FOREST METEOROL, V74, P61, DOI 10.1016/0168-1923(94)02185-M
   Zhang YY, 2013, NEW PHYTOL, V197, P314, DOI 10.1111/nph.12010
   Zhang YY, 2010, MOL ECOL, V19, P1774, DOI 10.1111/j.1365-294X.2010.04609.x
   Zhao SY, 2012, GENET MOL RES, V11, P421, DOI 10.4238/2012.February.17.4
NR 85
TC 23
Z9 24
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 SEP 28
PY 2017
VL 12
IS 9
AR e0185539
DI 10.1371/journal.pone.0185539
PG 24
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA FI4YC
UT WOS:000411985200080
PM 28957402
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Sha, ZY
   Xie, YC
   Tan, XC
   Bai, YF
   Li, J
   Liu, XF
AF Sha Zongyao
   Xie Yichun
   Tan Xicheng
   Bai Yongfei
   Li, Jonathan
   Liu Xuefeng
TI Assessing the impacts of human activities and climate variations on
   grassland productivity by partial least squares structural equation
   modeling (PLS-SEM)
SO JOURNAL OF ARID LAND
LA English
DT Article
DE spatial modeling; human-natural interaction; grazing; urbanization; road
   network
ID GEOGRAPHICALLY WEIGHTED REGRESSION; INNER-MONGOLIA; VEGETATION;
   VARIABLES; PATTERNS; VULNERABILITY; MANAGEMENT; DYNAMICS; STEPPE; CHINA
AB The cause-effect associations between geographical phenomena are an important focus in ecological research. Recent studies in structural equation modeling (SEM) demonstrated the potential for analyzing such associations. We applied the variance-based partial least squares SEM (PLS-SEM) and geographically-weighted regression (GWR) modeling to assess the human-climate impact on grassland productivity represented by above-ground biomass (AGB). The human and climate factors and their interaction were taken to explain the AGB variance by a PLS-SEM developed for the grassland ecosystem in Inner Mongolia, China. Results indicated that 65.5% of the AGB variance could be explained by the human and climate factors and their interaction. The case study showed that the human and climate factors imposed a significant and negative impact on the AGB and that their interaction alleviated to some extent the threat from the intensified human-climate pressure. The alleviation may be attributable to vegetation adaptation to high human-climate stresses, to human adaptation to climate conditions or/and to recent vegetation restoration programs in the highly degraded areas. Furthermore, the AGB response to the human and climate factors modeled by GWR exhibited significant spatial variations. This study demonstrated that the combination of PLS-SEM and GWR model is feasible to investigate the cause-effect relation in socio-ecological systems.
C1 [Sha Zongyao; Tan Xicheng] Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China.
   [Xie Yichun] Eastern Michigan Univ, Dept Geog & Geol, Ypsilanti, MI 48197 USA.
   [Bai Yongfei] Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China.
   [Li, Jonathan] Univ Waterloo, Dept Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
   [Liu Xuefeng] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China.
C3 Wuhan University; Eastern Michigan University; Chinese Academy of
   Sciences; Institute of Botany, CAS; University of Waterloo; Shanghai
   University
RP Sha, ZY (corresponding author), Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China.
EM zongyaosha@163.com
RI Liu, xuefeng/IUP-1483-2023; Li, Jonathan/AAA-7712-2021
OI LI, Jonathan/0000-0001-7899-0049; Xie, Yichun/0000-0002-2045-6406
FU National Natural Science Foundation of China [41371371]; Strategic
   Priority Research Program of the Chinese Academy of Sciences
   [XDA05050402]
FX This study was supported by the National Natural Science Foundation of
   China (41371371) and the Strategic Priority Research Program of the
   Chinese Academy of Sciences (XDA05050402). We also thank the anonymous
   reviewers and editors for their constructive comments and suggestions.
CR Abdi H, 2010, WIRES COMPUT STAT, V2, P97, DOI 10.1002/wics.51
   [Anonymous], MULTIVARIATE DATA AN
   [Anonymous], ANUSPLIN VERSION 4 0
   [Anonymous], 1982, Systems under Indirect Observations: Part II
   [Anonymous], 2000, Communications of the Association for Information Systems, DOI DOI 10.17705/1CAIS.00407
   [Anonymous], J STAT SOFTWARE
   [Anonymous], GRASSES GRASSLANDS
   [Anonymous], GLOBAL BIODIVERSITY
   Antle JM, 2001, ECOSYSTEMS, V4, P723, DOI 10.1007/s10021-001-0041-0
   Astrachan CB, 2014, J FAM BUS STRATEG, V5, P116, DOI 10.1016/j.jfbs.2013.12.002
   Bagozzi R. P., 1988, J ACAD MARKET SCI, V16, P74, DOI [DOI 10.1007/BF02723327, 10.1177/009207038801600107]
   Bagozzi RP, 2012, J ACAD MARKET SCI, V40, P8, DOI 10.1007/s11747-011-0278-x
   Banerjee U, 2016, TRANSPORT PLAN TECHN, V39, P24, DOI 10.1080/03081060.2015.1108081
   Becker JM, 2012, LONG RANGE PLANN, V45, P359, DOI 10.1016/j.lrp.2012.10.001
   Bollen K. A., 1993, TESTING STRUCTURAL E
   Bollen K. A., 1989, Structural equations with latent variables, P10, DOI [10.1002/9781118619179.ch2, DOI 10.1002/9781118619179.CH2]
   Brunsdon C, 1998, J ROY STAT SOC D-STA, V47, P431, DOI 10.1111/1467-9884.00145
   BUSEMEYER JR, 1983, PSYCHOL BULL, V93, P549, DOI 10.1037/0033-2909.93.3.549
   Cassel C, 1999, J APPL STAT, V26, P435, DOI 10.1080/02664769922322
   Chernick MR, 2008, WILEY SER PROBAB ST, P78
   Chin W. W., 2010, Handbook of Partial Least Squares: Concepts, Methods and Applications, P655, DOI [10.1007/978-3-540-32827-8, 10.1007/978-3-540-32827-8-29, DOI 10.1007/978-3-540-32827-8-29]
   Chin WW, 2003, INFORM SYST RES, V14, P189, DOI 10.1287/isre.14.2.189.16018
   Christensen L, 2004, CLIMATIC CHANGE, V63, P351, DOI 10.1023/B:CLIM.0000018513.60904.fe
   Cutler NA, 2008, J ECOL, V96, P231, DOI 10.1111/j.1365-2745.2007.01344.x
   De Luis M, 2006, ACTA OECOL, V30, P54, DOI 10.1016/j.actao.2006.01.005
   Eisenhauer N, 2015, PEDOBIOLOGIA, V58, P65, DOI 10.1016/j.pedobi.2015.03.002
   Fan Yi, 2016, Ecological Processes, V5, P19
   Filatova T, 2013, ENVIRON MODELL SOFTW, V45, P1, DOI 10.1016/j.envsoft.2013.03.017
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Gang CC, 2014, ENVIRON EARTH SCI, V72, P4273, DOI 10.1007/s12665-014-3322-6
   GEISSER S, 1974, BIOMETRIKA, V61, P101, DOI 10.2307/2334290
   Haenlein M., 2004, Underst Stat, V3, P283, DOI [10.1207/s15328031us0304_4, DOI 10.1207/S15328031US03044]
   Hair JF, 2012, J ACAD MARKET SCI, V40, P414, DOI 10.1007/s11747-011-0261-6
   Hair JF, 2011, J MARKET THEORY PRAC, V19, P139, DOI 10.2753/MTP1069-6679190202
   Hairston JuliaL., 2014, The Poems and Letters of Tullia d'Aragona and Others, P1
   Henseler J, 2016, IND MANAGE DATA SYST, V116, P2, DOI 10.1108/IMDS-09-2015-0382
   Henseler J, 2013, COMPUTATION STAT, V28, P565, DOI 10.1007/s00180-012-0317-1
   Henseler J, 2010, STRUCT EQU MODELING, V17, P82, DOI 10.1080/10705510903439003
   Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014
   Hulland J, 1999, STRATEGIC MANAGE J, V20, P195, DOI 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.3.CO;2-Z
   JORESKOG KG, 1971, PSYCHOMETRIKA, V36, P109, DOI 10.1007/bf02291393
   Jreskog KG., 1982, Systems under indirect observation, Part I, P263
   KENNY DA, 1984, PSYCHOL BULL, V96, P201, DOI 10.1037/0033-2909.96.1.201
   Lauenroth W.K., 1999, Great Plains Research, V9, P223
   Li XB, 2016, J ARID ENVIRON, V124, P80, DOI 10.1016/j.jaridenv.2015.07.013
   Li XX, 2014, GLOBAL HEALTH ACTION, V7, DOI 10.3402/gha.v7.23620
   Liu M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102344
   Liu YX, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4922-7
   Lowry PB, 2014, IEEE T PROF COMMUN, V57, P123, DOI 10.1109/TPC.2014.2312452
   Mu SJ, 2013, RANGELAND J, V35, P315, DOI 10.1071/RJ12042
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Palmer PI, 2014, NATURE, V512, P365, DOI 10.1038/512365a
   Polhill JG, 2016, ENVIRON MODELL SOFTW, V75, P318, DOI 10.1016/j.envsoft.2015.10.017
   Reinartz W, 2009, INT J RES MARK, V26, P332, DOI 10.1016/j.ijresmar.2009.08.001
   Ringrose S, 2002, ENVIRON MANAGE, V30, P98, DOI 10.1007/s00267-002-2486-0
   Ruan XF, 2013, ABSTR APPL ANAL, DOI 10.1155/2013/780542
   Sarstedt M, 2016, J BUS RES, V69, P3998, DOI 10.1016/j.jbusres.2016.06.007
   Sarstedt M, 2014, J FAM BUS STRATEG, V5, P105, DOI 10.1016/j.jfbs.2014.01.002
   Sha ZY, 2016, J ARID LAND, V8, P462, DOI 10.1007/s40333-016-0121-9
   Shen WW, 2016, TRANSPORT POLICY, V46, P20, DOI 10.1016/j.tranpol.2015.10.006
   Stannard CA, 2011, PROCEDIA ENVIRON SCI, V6, P194, DOI 10.1016/j.proenv.2011.05.020
   STONE M, 1974, J R STAT SOC B, V36, P111, DOI 10.1111/j.2517-6161.1974.tb00994.x
   Sun YL, 2015, PHYS CHEM EARTH, V87-88, P67, DOI 10.1016/j.pce.2015.09.017
   Surridge BWJ, 2014, ENVIRON MODELL SOFTW, V61, P274, DOI 10.1016/j.envsoft.2014.02.012
   Tantau I, 2014, J QUATERNARY SCI, V29, P141, DOI 10.1002/jqs.2688
   Tenenhaus M, 2005, COMPUT STAT DATA AN, V48, P159, DOI 10.1016/j.csda.2004.03.005
   Wabiri N, 2016, SPAT SPATIO-TEMPORAL, V16, P88, DOI 10.1016/j.sste.2015.12.003
   Wang T, 2012, ENVIRON MONIT ASSESS, V184, P7165, DOI 10.1007/s10661-011-2488-6
   Wold H., 1985, Encyclopedia of Statistical Sciences, P581, DOI DOI 10.1002/0471667196.ESS1914.PUB2
   Zhang JH, 2016, J ARID LAND, V8, P422, DOI 10.1007/s40333-016-0002-2
   Zhang YJ, 2015, J URBAN MANAG, V4, P135, DOI 10.1016/j.jum.2015.10.001
NR 71
TC 26
Z9 28
U1 22
U2 153
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1674-6767
EI 2194-7783
J9 J ARID LAND
JI J. Arid Land
PD AUG
PY 2017
VL 9
IS 4
BP 473
EP 488
DI 10.1007/s40333-017-0022-6
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EZ4EE
UT WOS:000404664400001
OA Bronze
DA 2025-01-10
ER

PT J
AU Zheng, ZF
   Lin, XL
   Chen, L
   Yan, C
   Sun, T
AF Zheng, Zefeng
   Lin, Xinlu
   Chen, Li
   Yan, Chao
   Sun, Ting
TI Effects of urbanization and topography on thermal comfort during a heat
   wave event: A case study of Fuzhou, China
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Thermal comfort; Urban heat island (UHI); WRF; Heat wave; WBGT
ID BULB GLOBE TEMPERATURE; BREEZE CIRCULATION; BOUNDARY-LAYER; URBAN;
   IMPACT; WRF; ATMOSPHERES; ENVIRONMENT; INTEGRATION; MODEL
AB Urbanization intensifies urban heat and compromises thermal comfort. However, few studies have examined the interactions of Urban Heat Island (UHI) between neighboring cities and the impacts of expanding satellite towns on central urban areas (CUA). We conducted a series of WRF/BEP-BEM simulations during a summer heat wave in Fuzhou, China, to understand how extensive urbanization and complex topography affect thermal comfort. Control runs reveal an intense UHI centered on Fuzhou's CUA. Comparisons with scenarios where urban land use and terrain are altered demonstrate that urbanization degrades thermal comfort citywide by elevating heat stress while valley -basin topography worsens midday heat but alleviates nighttime humidity. The urban heat island circulation above the CUA suppresses the valley wind circulation and prevents the sea breeze front from advancing inland in the afternoon. Notably, CUA urbanization enhances sea breezes in a satellite town, inducing afternoon "cool islands". Interactions between CUA and satellite towns appear minimized, with urbanization impacts confined locally. Future expansion according to the "Fuzhou 2035" Master Plan shows negligible effects on thermal comfort in CUA. Our findings enhance understanding of intra-urban UHI dynamics in complex terrains. The outcomes directly inform urban planning and climate adaptation strategies to promote Fuzhou's livability and resilience.
C1 [Zheng, Zefeng; Lin, Xinlu] Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Peoples R China.
   [Lin, Xinlu; Yan, Chao] China Meteorol Adm, Key Lab Urban Meteorol, Beijing 100089, Peoples R China.
   [Chen, Li] Fujian Climate Ctr, Fuzhou 350007, Peoples R China.
   [Sun, Ting] UCL, Inst Risk & Disaster Reduct, London WC1E 6BT, England.
C3 Fuzhou University; China Meteorological Administration; University of
   London; University College London
RP Lin, XL (corresponding author), Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Peoples R China.
EM linxinlu@fzu.edu.cn
RI Sun, Ting/X-1488-2019; Lin, Xinlu/JXY-8213-2024; Sun, Ting/A-3388-2013
OI Yan, Chao/0000-0001-6708-5465; Sun, Ting/0000-0002-2486-6146
FU Young Scientist Program of Fujian Province Natural Science Foundation
   [2021J05125]; Key Laboratory of Urban Meteorology, China Meteorological
   Administration [LUM-2023-14]; UKRI NERC Independent Research Fellowship
   [NE/P018637/2]; Natural Science Foundation of China [42205075]; Youth
   innovation team of China Meteorological Administration [CMA2023QN14]
FX This work is supported by the Young Scientist Program of Fujian Province
   Natural Science Foundation (Grant No. 2021J05125) , and Key Laboratory
   of Urban Meteorology, China Meteorological Administration (LUM-2023-14)
   . TS is supported by UKRI NERC Independent Research Fellowship
   (NE/P018637/2) . YC is supported by the Natural Science Foundation of
   China (Grants No. 42205075) and the youth innovation team of China
   Meteorological Administration (No. CMA2023QN14) .
CR [Anonymous], 2017, Ergonomics of the thermal environment _____ Assessment of heat stress using the WBGT (wet bulb globe temperature) index. ISO7243:2017
   Armstrong LE, 2007, MED SCI SPORT EXER, V39, P556, DOI 10.1249/MSS.0b013e31802fa199
   Brousse O, 2016, URBAN CLIM, V17, P116, DOI 10.1016/j.uclim.2016.04.001
   Budd GM, 2008, J SCI MED SPORT, V11, P20, DOI 10.1016/j.jsams.2007.07.003
   Cai YB, 2019, URBAN FOR URBAN GREE, V41, P333, DOI 10.1016/j.ufug.2019.04.012
   Casanueva A, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01625-6
   China Meteorological Administration, 2012, National climate center expert: More and more "furnace"cities
   Choudhury D, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100727
   Demuzere M., 2022, J Open Source Softw, V7, P4432, DOI [DOI 10.21105/JOSS.04432, 10.21105/JOSS.04432]
   Demuzere M, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.637455
   DUDHIA J, 1989, J ATMOS SCI, V46, P3077, DOI 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
   Dutta P, 2020, INT J OCCUP ENV MED, V11, P188, DOI 10.34172/ijoem.2020.1991
   Epstein Y, 2006, IND HEALTH, V44, P388, DOI 10.2486/indhealth.44.388
   Fernando HJS, 2010, ANNU REV FLUID MECH, V42, P365, DOI 10.1146/annurev-fluid-121108-145459
   Fuzhou Municipal Statistics Bureau, 2021, Bulletin of the 7th national census of Fuzhou
   Ganbat G, 2015, THEOR APPL CLIMATOL, V121, P545, DOI 10.1007/s00704-014-1252-6
   Garuma GF, 2018, URBAN CLIM, V24, P830, DOI 10.1016/j.uclim.2017.10.006
   Grell GA, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2002GL015311
   Heo S, 2019, ENVIRON RES, V168, P158, DOI 10.1016/j.envres.2018.09.032
   Hong SY, 2006, MON WEATHER REV, V134, P2318, DOI 10.1175/MWR3199.1
   Howard Luke., 1833, The Climate of London: Deduced from Meteorological Observations Made in the Metropolis and at Various Places around It, V3
   Huang QP, 2019, SUSTAIN CITIES SOC, V44, P666, DOI 10.1016/j.scs.2018.10.016
   Ibrahim SH, 2018, INT J TECHNOL, V9, P1597, DOI 10.14716/ijtech.v9i8.2755
   Kang HQ, 2014, BOUND-LAY METEOROL, V152, P411, DOI 10.1007/s10546-014-9927-1
   Kiarsi M, 2023, J THERM BIOL, V116, DOI 10.1016/j.jtherbio.2023.103588
   Kjellstrom T, 2018, INT J BIOMETEOROL, V62, P291, DOI 10.1007/s00484-017-1407-0
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li YF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16461-9
   Liu SH, 2009, SCI CHINA SER D, V52, P382, DOI 10.1007/s11430-009-0030-2
   Lüthi S, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-40599-x
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Mehrotra S, 2019, SCI TOTAL ENVIRON, V669, P872, DOI 10.1016/j.scitotenv.2019.03.152
   Miao YC, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/397070
   Ministry of Housing and Urban-Rural Development of the Peoples Republic of China, 2011, GB 50137-2011
   Mlawer EJ, 1997, J GEOPHYS RES-ATMOS, V102, P16663, DOI 10.1029/97JD00237
   Molnár G, 2019, THEOR APPL CLIMATOL, V138, P1139, DOI 10.1007/s00704-019-02881-1
   National Centers for Environmental Prediction National Weather Service NOAA U.S. Department of Commerce, 2000, CISL RDA
   Niu GY, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015139
   OKE TR, 1995, NATO ADV SCI INST SE, V277, P81
   Franco DMP, 2019, URBAN CLIM, V27, P293, DOI 10.1016/j.uclim.2018.12.007
   Ribeiro FND, 2018, ATMOS RES, V214, P174, DOI 10.1016/j.atmosres.2018.07.015
   Ryu YH, 2013, J APPL METEOROL CLIM, V52, P784, DOI 10.1175/JAMC-D-12-0157.1
   Salamanca F, 2010, THEOR APPL CLIMATOL, V99, P331, DOI [10.1007/s00704-009-0142-9, 10.1007/s00704-009-0143-8]
   Sanchez B, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.101006
   Shen CH, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103992
   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]
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stull R, 2011, J APPL METEOROL CLIM, V50, P2267, DOI 10.1175/JAMC-D-11-0143.1
   Sun T, 2024, GEOSCI MODEL DEV, V17, P91, DOI 10.5194/gmd-17-91-2024
   Tan HC, 2023, SCI TOTAL ENVIRON, V860, DOI 10.1016/j.scitotenv.2022.160508
   Thompson G, 2004, MON WEATHER REV, V132, P519, DOI 10.1175/1520-0493(2004)132<0519:EFOWPU>2.0.CO;2
   Tonouchi M., 2006, 6 S URBAN ENV, V1
   United Nations Department of Economic and Social Affairs Population Division, 2019, World Population Prospects 2019: Highlights; 2019
   Vinayak B, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103703
   Wang WW, 2021, BUILD ENVIRON, V191, DOI 10.1016/j.buildenv.2021.107586
   Wang Y, 2017, J GEOPHYS RES-ATMOS, V122, P4332, DOI 10.1002/2017JD026702
   Wang YX, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103710
   Wu SH, 2021, BUILD ENVIRON, V194, DOI 10.1016/j.buildenv.2021.107668
   Xiao ZQ, 2016, IEEE T GEOSCI REMOTE, V54, P5301, DOI 10.1109/TGRS.2016.2560522
   YAGLOU C P, 1957, AMA Arch Ind Health, V16, P302
   Yang LQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13245114
   Yang ZL, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015140
   Yao L, 2020, URBAN FOR URBAN GREE, V52, DOI 10.1016/j.ufug.2020.126704
   Yao X, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104841
   Yao X, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103902
   You MZ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182413088
   ZHANG D, 1982, J APPL METEOROL, V21, P1594, DOI 10.1175/1520-0450(1982)021<1594:AHRMOT>2.0.CO;2
   Zhang DL, 2011, J APPL METEOROL CLIM, V50, P2012, DOI 10.1175/JAMC-D-10-05008.1
   Zhou XL, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103922
NR 69
TC 9
Z9 9
U1 38
U2 65
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 MAR
PY 2024
VL 102
AR 105233
DI 10.1016/j.scs.2024.105233
EA FEB 2024
PG 13
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 KE6A7
UT WOS:001178309000001
DA 2025-01-10
ER

PT J
AU Kyrkjeeide, MO
   Jokerud, M
   Mehlhoop, AC
   Lunde, LMF
   Fandrem, M
   Lyngstad, A
AF Kyrkjeeide, Magni Olsen
   Jokerud, Mari
   Mehlhoop, Anne Catriona
   Lunde, Linn Marie Foldnes
   Fandrem, Marte
   Lyngstad, Anders
TI Peatland restoration in Norway - evaluation of ongoing monitoring and
   identification of plant indicators of restoration success
SO NORDIC JOURNAL OF BOTANY
LA English
DT Article
DE bog; boreal; ecological restoration; mire; Nordic; ombrotrophic
AB Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the restoration effort has been on peatland restoration, with about 140 mires restored so far. There are three main restoration goals stated in the action plan: 1) limit greenhouse gas (GHG) emission, 2) climate adaptation and 3) improved ecological condition. Quantifying the outcome of the restoration actions is necessary to evaluate whether the goals of the action plan are met. A vegetation monitoring protocol was suggested before restoration started and has been implemented at five restoration sites. As the peatland restoration effort in Norway is increasing, it is timely to evaluate if the data currently collected can measure peatland restoration outcome. We evaluate the monitoring protocol based on statistical analyses of the data collected at two sites, describe how indicator species can be identified using generalized composition data used as the basis for classifying habitats in Norway (EcoSyst framework), and suggest the way forward for peatland restoration monitoring in Norway. Data collected according to the monitoring protocol can document changes in species composition at restoration sites, but has limitations when the ecological complexity at the sites increases and reference sites are unavailable. We argue that adjusting the monitoring protocol will: 1) facilitate alignment with existing peatland research; 2) connect better with monitoring programs where data is collected applying EcoSyst framework principles; and 3) enable upscaling to cover the wide variation emerging in peatland restoration.
C1 [Kyrkjeeide, Magni Olsen; Mehlhoop, Anne Catriona; Lyngstad, Anders] Norwegian Inst Nat Res, Trondheim, Norway.
   [Jokerud, Mari] Norwegian Inst Nat Res, Bergen, Norway.
   [Lunde, Linn Marie Foldnes; Fandrem, Marte; Lyngstad, Anders] Norwegian Univ Sci & Technol, NTNU Univ Museum, Trondheim, Norway.
C3 Norwegian Institute Nature Research; Norwegian Institute Nature
   Research; Norwegian University of Science & Technology (NTNU)
RP Kyrkjeeide, MO (corresponding author), Norwegian Inst Nat Res, Trondheim, Norway.
EM magni.kyrkjeeide@nina.no
RI Jokerud, Mari/HCI-7591-2022
OI Mehlhoop, Anne Catriona/0000-0002-0748-7515; Lyngstad,
   Anders/0000-0002-1953-3662; Fandrem, Marte/0000-0003-1251-2575;
   Kyrkjeeide, Magni Olsen/0000-0002-7454-3652
FU Norwegian Environment Agency
FX The field work has been funded by the Norwegian Environment Agency.
CR Andersen R, 2017, RESTOR ECOL, V25, P271, DOI 10.1111/rec.12415
   [Anonymous], 1990, Gunneria
   [Anonymous], 1992, Scripta Geobotanica
   [Anonymous], 2016, WETLAND RESTORATION
   [Anonymous], 2013, MOORLIFE ACTIVE BLAN
   [Anonymous], 2022, Kunming -Montreal Global Biodiversity Framework
   Brudvig LA, 2021, RESTOR ECOL, DOI 10.1111/rec.13380
   Burgman M, 2011, CONSERV LETT, V4, P81, DOI 10.1111/j.1755-263X.2011.00165.x
   Chimner RA, 2017, RESTOR ECOL, V25, P283, DOI 10.1111/rec.12434
   Cooke SJ, 2018, RESTOR ECOL, V26, P201, DOI 10.1111/rec.12675
   Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
   Evju M., 2020, DRY CALCAREOUS GRASS
   Evju M, 2020, RESTOR ECOL, V28, P519, DOI 10.1111/rec.13149
   Flatberg K. I., 1994, U TRONDHEIM VITENSK, P45
   Flatberg K. I., 2013, NORGES TORVMOSER
   GIGNAC LD, 1992, BRYOLOGIST, V95, P406, DOI 10.2307/3243564
   Godínez-Alvarez H, 2009, ECOL INDIC, V9, P1001, DOI 10.1016/j.ecolind.2008.11.011
   González E, 2019, MIRES PEAT, V24, DOI 10.19189/MaP.2017.OMB.305
   González E, 2014, ECOL INDIC, V46, P156, DOI 10.1016/j.ecolind.2014.06.016
   González E, 2014, ECOL ENG, V68, P279, DOI 10.1016/j.ecoleng.2014.03.051
   González E, 2013, ECOL INDIC, V32, P232, DOI 10.1016/j.ecolind.2013.03.019
   Günther A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15499-z
   Hagen D., 2015, 1212 NINA, P1
   Halbritter AH, 2020, METHODS ECOL EVOL, V11, P22, DOI 10.1111/2041-210X.13331
   Halvorsen R., 2016, NIN SYSTEMKJERNE TEO, P1
   Halvorsen R., 2015, GRUNNLAG TYPEINNDELI, P1
   Halvorsen R, 2020, GLOBAL ECOL BIOGEOGR, V29, P1887, DOI 10.1111/geb.13164
   Howie SA, 2009, CAN WATER RESOUR J, V34, P381, DOI 10.4296/cwrj3404381
   Joosten H, 2017, MIRES AND PEATLANDS OF EUROPE: STATUS, DISTRIBUTION AND CONSERVATION, P1
   JOOSTEN JHJ, 1995, RESTORATION OF TEMPERATE WETLANDS, P379
   Kolstad A. L., 2020, 202013 NTNU VIT NAT
   Kyrkjeeide M. O., 2021, MIRE RESTORATION MON
   Kyrkjeeide M. O., 2023, DATA PEATLAND RESTOR, DOI [10.5061/dryad.hqbzkh1pm., DOI 10.5061/DRYAD.HQBZKH1PM]
   Moen, 2015, 201510 NTNU VIT NAT
   Moen A., 1983, MYRUNDERS KELSER NOR
   Moen A., 1999, NATL ATLAS NORWAY VE
   Moen A., 1969, FOREL PIG RAPPORT SO
   Moen J., 1977, FLORA VEGETASJON TRO
   Nugent KA, 2018, GLOBAL CHANGE BIOL, V24, P5751, DOI 10.1111/gcb.14449
   Nybo S., 2017, Fagsystem for fastsetting av god okologisk tilstand. Forslag fra et ekspertrad
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Pilkington M., 2016, MOORS FUTURE PARTNER
   Price J M., 2016, After Prisons? Freedom, Decarceration, and Justice Disinvestment, P77, DOI [DOI 10.1017/CBO9781139177788.006, 10.1017/CBO9781139177788.006]
   Punttila P, 2016, SILVA FENN, V50
   Reed MS, 2022, MIRES PEAT, V28, DOI 10.19189/MaP.2021.OMB.StA.2340
   Roberts DW, 2019, Ordination and Multivariate Analysis for Ecology
   Rochefort L, 2017, RESTOR ECOL, V25, P269, DOI 10.1111/rec.12417
   Rochefort L, 2013, WETL ECOL MANAG, V21, P71, DOI 10.1007/s11273-012-9280-4
   Sjors H., 1948, ACTA PHYTOGEOGR, V21, P1
   Tingstad L., 2019, PROPOSAL PRACTICAL I
   Tyler T, 2021, ECOL INDIC, V120, DOI 10.1016/j.ecolind.2020.106923
   Vitt DH., 2021, BRYOPHYTE DIVERSITY, V43, P253, DOI DOI 10.11646/BDE.43.1.18
   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]
NR 54
TC 3
Z9 3
U1 14
U2 27
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0107-055X
EI 1756-1051
J9 NORD J BOT
JI Nord. J. Bot.
PD APR
PY 2024
VL 2024
IS 4
SI SI
DI 10.1111/njb.03988
EA JAN 2024
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA MQ7E7
UT WOS:001147112300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Case, MJ
   Ettinger, AK
   Pradhan, K
AF Case, Michael J.
   Ettinger, Ailene K.
   Pradhan, Kavya
TI Forest restoration thinning accelerates development of old-growth
   characteristics in the coastal Pacific Northwest, USA
SO CONSERVATION SCIENCE AND PRACTICE
LA English
DT Article
DE adaptive management; ecological climate adaptation; ecological
   indicators; ecological monitoring; forest structure; late-successional
   forests; natural resource management
ID CHANGE ADAPTATION STRATEGIES; DOUGLAS-FIR FORESTS; CLIMATE-CHANGE;
   STRUCTURAL DEVELOPMENT; CONIFEROUS FOREST; FEDERAL FORESTS; DROUGHT
   STRESS; DENSITY; BIODIVERSITY; RESPONSES
AB A century of industrial-scale management has transformed vast swaths of forest land across the Pacific Northwest (PNW), USA, from ancient forests with complex structure and diverse habitats to young forests with simple structure and dominated by few species. Consequently, there have been calls to restore ecosystem integrity and resilience. Here, we apply data from a watershed-scale experiment to determine if restoration treatments have achieved our management goal of accelerating the development of old-growth forest characteristics. We provide empirical evidence of how restoration treatments have affected key old-growth forest indicators resulting in larger trees, more complex vertical and horizontal forest structure, reduced stand density, and increased understory plant richness. Our study also demonstrates that some restoration indicators responded in counter-intuitive ways contingent on interactions between stand age and restoration treatment. Through this work, we learned two important lessons: (1) more time and monitoring may be needed to fully understand the effects of restoration treatments and (2) a "one and done" approach of implementing restoration treatments may not achieve a full suite of old-growth characteristics. Moreover, long-term management for wildlife habitat and climate resilience will likely require an adaptive approach, with ongoing monitoring continually informing and adjusting management practices.
C1 [Case, Michael J.; Ettinger, Ailene K.] Nature Conservancy, Seattle, WA USA.
   [Pradhan, Kavya] Univ Washington, Dept Biol, Seattle, WA USA.
   [Case, Michael J.] Nature Conservancy, 74 Wall St, Seattle, WA 98121 USA.
C3 Nature Conservancy; University of Washington; University of Washington
   Seattle; Nature Conservancy
RP Case, MJ (corresponding author), Nature Conservancy, 74 Wall St, Seattle, WA 98121 USA.
EM michael.case@tnc.org
OI Case, Michael/0000-0003-4111-2298
FU National Science Foundation [DEB-1555883]; Nature Conservancy; U.S.
   Geological Survey [G17AC00218]; University of Washington Biology
   Department
FX National Science Foundation,Grant/Award Number: DEB-1555883; Nature
   Conservancy; U.S. Geological Survey, Grant/Award Number:G17AC00218;
   University of Washington Biology Department
CR Agee J., 1993, Fire Ecology of Pacific Northwest Forests
   Anderegg LDL, 2016, GLOBAL CHANGE BIOL, V22, P1029, DOI 10.1111/gcb.13148
   Anderson MJ, 2006, BIOMETRICS, V62, P245, DOI 10.1111/j.1541-0420.2005.00440.x
   Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
   Bailey JD, 1998, FOREST ECOL MANAG, V108, P99, DOI 10.1016/S0378-1127(98)00216-3
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bauhus J, 2009, FOREST ECOL MANAG, V258, P525, DOI 10.1016/j.foreco.2009.01.053
   Bradford JB, 2009, CAN J FOREST RES, V39, P489, DOI 10.1139/X08-201
   Brandt P, 2014, BIOL CONSERV, V169, P362, DOI 10.1016/j.biocon.2013.12.003
   Carey AB, 2003, FORESTRY, V76, P127, DOI 10.1093/forestry/76.2.127
   Case MJ, 2021, FOREST ECOL MANAG, V482, DOI 10.1016/j.foreco.2020.118886
   Case MJ, 2020, FORESTS, V11, DOI 10.3390/f11060618
   Castagneri D, 2022, ECOSYSTEMS, V25, P30, DOI 10.1007/s10021-021-00638-4
   Chamberlain CP, 2021, FOREST ECOL MANAG, V500, DOI 10.1016/j.foreco.2021.119641
   Churchill DJ, 2013, FOREST ECOL MANAG, V291, P442, DOI 10.1016/j.foreco.2012.11.007
   Cissel J.H., 2006, BLM Density Management and Riparian Buffer Study: Establishment Report and Study Plan, U.S. Geological Survey
   Crouzeilles R, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11666
   Curtis RO, 1997, J FOREST, V95, P19
   Davis LR, 2007, NORTHWEST SCI, V81, P1, DOI 10.3955/0029-344X-81.1.1
   DeMeo T, 2018, NORTHWEST SCI, V92, P18, DOI 10.3955/046.092.0104
   Dodson EK, 2012, CAN J FOREST RES, V42, P345, DOI [10.1139/x11-188, 10.1139/X11-188]
   Donato DC, 2020, ECOL APPL, V30, DOI 10.1002/eap.2013
   Dymond CC, 2014, CAN J FOREST RES, V44, P1196, DOI 10.1139/cjfr-2014-0146
   Franklin J.F., 1981, ECOLOGICAL CHARACTER
   Franklin JF, 2012, J FOREST, V110, P429, DOI 10.5849/jof.10-006
   Franklin JF, 2002, FOREST ECOL MANAG, V155, P399, DOI 10.1016/S0378-1127(01)00575-8
   Franklin JF, 2004, J FOREST, V102, P22
   Franklin JF., 1973, Natural Vegetation of Oregon and Washington, V8
   Garman S. L., 2003, PNWGTR557 USDA FOR S
   Gatica-Saavedra P, 2017, RESTOR ECOL, V25, P850, DOI 10.1111/rec.12586
   Gillette NE, 2014, FOREST SCI, V60, P527, DOI 10.5849/forsci.13-040
   Gray AN, 1997, ECOLOGY, V78, P2458, DOI 10.1890/0012-9658(1997)078[2458:MCOTSE]2.0.CO;2
   Halofsky JS, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2140
   Hamer Thomas E., 1995, U S Forest Service General Technical Report PSW, V152, P69
   HARMON ME, 1986, ADV ECOL RES, V15, P133, DOI 10.1016/S0065-2504(08)60121-X
   Harrington C., 2009, 112 USDA FOR SERV SC
   Hayes JP, 2003, ECOL APPL, V13, P1222, DOI 10.1890/02-5068
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Hunter M.L., 1990, PRINCIPLES MANAGING
   Johnstone JF, 2004, CAN J FOREST RES, V34, P267, DOI [10.1139/x03-183, 10.1139/X03-183]
   Kolb TE, 2016, FOREST ECOL MANAG, V380, P321, DOI 10.1016/j.foreco.2016.04.051
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Li TFY, 2023, J NATL COMPR CANC NE, V21, P125, DOI 10.6004/jnccn.2022.7074
   Littlefield CE, 2019, FRONT ECOL ENVIRON, V17, P270, DOI 10.1002/fee.2043
   May C., 2018, IMPACTS RISKS ADAPTA, VII
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Neill AR, 2013, CAN J FOREST RES, V43, P428, DOI 10.1139/cjfr-2012-0345
   Neitro W.A., 1985, Management of Wildlife and Fish Habitats in Forests of Western Oregon and Washington, P129
   North MP, 1999, FOREST SCI, V45, P520
   O'Brien AM, 2012, URBAN ECOSYST, V15, P879, DOI 10.1007/s11252-012-0250-7
   O'Hara KL, 2010, RESTOR ECOL, V18, P125, DOI 10.1111/j.1526-100X.2010.00655.x
   Oliver C., 1996, FOREST STAND DYNAMIC, VSecond
   Peterson D. L., 2011, LANDSCAPE ECOLOGY FI
   Pradhan K, 2023, GLOBAL CHANGE BIOL, V29, P3692, DOI 10.1111/gcb.16714
   Puettmann KJ, 2016, FORESTS, V7, DOI 10.3390/f7120310
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Reilly MJ, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00469.1
   Reukema D. L., 1975, USDA FOREST SERVICE
   Seidl R, 2014, ECOL APPL, V24, P2063, DOI 10.1890/14-0255.1
   Shaw DC, 2008, CAN J FOREST RES, V38, P576, DOI 10.1139/X07-174
   Smithwick EAH, 2002, ECOL APPL, V12, P1303, DOI 10.1890/1051-0761(2002)012[1303:PUBOCS]2.0.CO;2
   Sohn JA, 2016, FOREST ECOL MANAG, V380, P261, DOI 10.1016/j.foreco.2016.07.046
   SPIES TA, 1994, ECOL APPL, V4, P555, DOI 10.2307/1941957
   Spies Thomas A., 2018, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, V1, P95
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Strittholt JR, 2006, CONSERV BIOL, V20, P363, DOI 10.1111/j.1523-1739.2006.00384.x
   Swank W.T., 1988, Forest Hydrology and Ecology at Coweeta, P297, DOI [10.1007/978-1-4612-3732-7, DOI 10.1007/978-1-4612-3732-7]
   Thysell DR, 2001, CAN J FOREST RES, V31, P1513, DOI 10.1139/cjfr-31-9-1513
   Tilman D, 1997, ECOLOGY, V78, P81, DOI 10.1890/0012-9658(1997)078[0081:CIRLAG]2.0.CO;2
   Viglas JN, 2013, CAN J FOREST RES, V43, P534, DOI 10.1139/cjfr-2013-0022
   Vose R. S., 2017, Climate Science Special Report: Fourth National Climate Assessment, VI, P185, DOI DOI 10.7930/J0N29V45
   Willis JL, 2018, FOREST ECOL MANAG, V410, P114, DOI 10.1016/j.foreco.2018.01.006
NR 73
TC 4
Z9 4
U1 3
U2 9
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
EI 2578-4854
J9 CONSERV SCI PRACT
JI Conserv. Sci. Pract.
PD SEP
PY 2023
VL 5
IS 9
DI 10.1111/csp2.13004
EA AUG 2023
PG 15
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation
GA T1FI4
UT WOS:001050514300001
OA gold
DA 2025-01-10
ER

PT J
AU Shen, JF
   Xia, XT
   Sun, LY
   Ma, XH
   Huang, BZ
   Hanif, Q
   Chen, NB
   Qu, KX
   Zhang, JC
   Chen, H
   Jiang, Y
   Lei, CZ
AF Shen, Jiafei
   Xia, Xiaoting
   Sun, Luyang
   Ma, Xiaohui
   Huang, Bizhi
   Hanif, Quratulain
   Chen, Ningbo
   Qu, Kaixing
   Zhang, Jicai
   Chen, Hong
   Jiang, Yu
   Lei, Chuzhao
TI Genome-wide association study reveals that the <i>IBSP</i> locus affects
   ear size in cattle
SO HEREDITY
LA English
DT Article
ID BONE SIALOPROTEIN; GENE-EXPRESSION; MODEL
AB Ear size is a classical model for hot climate adaptation following the evolution, but the genetic basis of the traits associated with ear size remains to be elucidated. Here, we performed a genome-wide association study on 158 cattle to explain the genetic mechanism of ear size. One region on BTA6 between 36.79 and 38.80 Mb included 50 suggestive SNPs and 4 significant SNPs that were significantly associated with ear size. The most significant locus (P = 1.30 x 10(-8)) was a missense mutation (T250I) on the seventh exon of integrin-binding sialoprotein (IBSP), which had an allele substitution effect of 23.46 cm(2) for ear size. Furthermore, this mutation will cause changes in the three-dimensional structure of the protein. To further identify genes underlying this typical feature, we performed a genome scan among nine cattle breeds with different ear sizes by using SweeD. Results suggested that IBSP was under positive selection among four breeds with relatively large ear sizes. The expression levels of IBSP in ear tissues of large- and small-ear cattle were significantly different. A haplotype diversity survey of this missense mutation in worldwide cattle breeds strongly implied that the origin of this missense mutation event was Bos taurus. These findings have important theoretical importance for the exploration of major genes associated with ear size and provide important molecular markers for the identification of cattle germplasm resources.
C1 [Shen, Jiafei; Xia, Xiaoting; Sun, Luyang; Ma, Xiaohui; Chen, Ningbo; Chen, Hong; Jiang, Yu; Lei, Chuzhao] Northwest A&F Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod Shaanxi Prov, Yangling 712100, Shaanxi, Peoples R China.
   [Shen, Jiafei] Zhejiang Univ, Affiliated Hosp 4, Int Inst Med, Sch Med, N1 Shangcheng Rd, Yiwu 322000, Zhejiang, Peoples R China.
   [Huang, Bizhi; Zhang, Jicai] Yunnan Acad Grassland & Anim Sci, Kunming 650212, Yunnan, Peoples R China.
   [Hanif, Quratulain] Natl Inst Biotechnol & Genet Engn, Agr Biotechnol Div, Computat Biol Lab, 577, Faisalabad, Pakistan.
   [Qu, Kaixing] Chuxiong Normal Univ, Acad Sci & Technol, Chuxiong 675000, Yunnan, Peoples R China.
C3 Northwest A&F University - China; Zhejiang University; Pakistan
   Institute of Engineering & Applied Science; Chuxiong Normal University
RP Jiang, Y; Lei, CZ (corresponding author), Northwest A&F Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod Shaanxi Prov, Yangling 712100, Shaanxi, Peoples R China.
EM yu.jiang@nwafu.edu.cn; leichuzhao1118@nwafu.edu.cn
RI Chen, Ningbo/W-8251-2018; Zhang, Jicai/G-1520-2013; 开兴, 亐/AAG-4304-2020;
   Jiang, Yu/O-5114-2015
OI Jiang, Yu/0000-0003-4821-3585; Hanif, Quratulain/0000-0002-9841-8055
FU National Natural Science Foundation of China [31872317]; China
   Agriculture Research System of MOF and MARA [CARS-37]
FX We would like to thank High-Performance Computing (HPC) of Northwest A&F
   University (NWAFU) for providing computing resources. The study was
   supported by the National Natural Science Foundation of China (31872317)
   and China Agriculture Research System of MOF and MARA (Grant No.
   CARS-37).
CR Alvord L S, 1997, J Am Acad Audiol, V8, P383
   Bos EJ, 2018, PRS-GLOB OPEN, V6, DOI 10.1097/GOX.0000000000001610
   Bouleftour W, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095144
   Browning SR, 2007, AM J HUM GENET, V81, P1084, DOI 10.1086/521987
   Chen NB, 2020, GENOM PROTEOM BIOINF, V18, P186, DOI 10.1016/j.gpb.2019.03.007
   Chen QM, 2020, J ANIM BREED GENET, V137, P641, DOI 10.1111/jbg.12479
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   DeGiorgio M, 2016, BIOINFORMATICS, V32, P1895, DOI 10.1093/bioinformatics/btw051
   Duncan EL, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1001372
   Ekdale EG, 2016, J ANAT, V228, P324, DOI 10.1111/joa.12308
   Fukui N, 2008, ARTHRITIS RHEUM, V58, P3843, DOI 10.1002/art.24036
   Gao L, 2018, ANIM GENET, V49, P345, DOI 10.1111/age.12670
   Green M.R., 2012, Molecular Cloning a Laboratory Manual, V4th ed.
   Herath S, 2006, J REPROD IMMUNOL, V69, P13, DOI 10.1016/j.jri.2005.09.007
   Horwitz GC, 2011, J NEUROSCI, V31, P16814, DOI 10.1523/JNEUROSCI.3064-11.2011
   KIM RH, 1994, MATRIX BIOL, V14, P31, DOI 10.1016/0945-053X(94)90027-2
   Komori T, 2018, HISTOCHEM CELL BIOL, V149, P313, DOI 10.1007/s00418-018-1640-6
   Komori T, 2017, ADV EXP MED BIOL, V962, P83, DOI 10.1007/978-981-10-3233-2_6
   Komori T, 2010, CELL TISSUE RES, V339, P189, DOI 10.1007/s00441-009-0832-8
   LAW MP, 1979, BRIT J RADIOL, V52, P315, DOI 10.1259/0007-1285-52-616-315
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Lui JC, 2019, BONE, V125, P169, DOI 10.1016/j.bone.2019.05.027
   Ma J, 2009, ANIM GENET, V40, P463, DOI 10.1111/j.1365-2052.2009.01867.x
   Nekrutenko A, 2012, NAT REV GENET, V13, P667, DOI 10.1038/nrg3305
   Patterson N, 2006, PLOS GENET, V2, P2074, DOI 10.1371/journal.pgen.0020190
   Pavlidis P, 2013, MOL BIOL EVOL, V30, P2224, DOI 10.1093/molbev/mst112
   PHILLIPS PK, 1992, COMP BIOCHEM PHYS A, V101, P693, DOI 10.1016/0300-9629(92)90345-Q
   PHOOFOLO P, 1993, PAST PRESENT, P112
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Reefmann N, 2009, APPL ANIM BEHAV SCI, V118, P199, DOI 10.1016/j.applanim.2009.02.013
   Ren J, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002043
   Rosen BD, 2020, GIGASCIENCE, V9, DOI 10.1093/gigascience/giaa021
   Torres M, 1998, MECH DEVELOP, V71, P5, DOI 10.1016/S0925-4773(97)00155-X
   van Hemmen JL, 2003, BIOL CYBERN, V89, P317, DOI 10.1007/s00422-003-0448-0
   Vaysse A, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002316
   Wang K, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq603
   WEBSTER DB, 1966, AM ZOOL, V6, P451
   Wei WH, 2007, ANIM GENET, V38, P222, DOI 10.1111/j.1365-2052.2007.01591.x
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wilkinson S, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003453
   Wuttke M, 2001, J BIOL CHEM, V276, P36839, DOI 10.1074/jbc.M105689200
   Yang HuaiGu Yang HuaiGu, 2013, Acta Agriculturae Universitatis Jiangxiensis, V35, P1024
   Zhang LC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102085
   Zhou X, 2012, NAT GENET, V44, P821, DOI 10.1038/ng.2310
NR 45
TC 2
Z9 2
U1 0
U2 4
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 0018-067X
EI 1365-2540
J9 HEREDITY
JI Heredity
PD JUN
PY 2023
VL 130
IS 6
BP 394
EP 401
DI 10.1038/s41437-023-00614-9
EA APR 2023
PG 8
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA H7FW5
UT WOS:000963062900003
PM 37016135
OA Green Published
DA 2025-01-10
ER

PT J
AU Fahmy, H
AF Fahmy, Hany
TI The rise in investors' awareness of climate risks after the Paris
   Agreement and the clean energy-oil-technology prices nexus
SO ENERGY ECONOMICS
LA English
DT Article
DE Clean energy prices; Crude oil price; Technology stock prices; Exogenous
   smooth transition regression; Paris Agreement; Climate adaptation and
   mitigation
ID ECONOMIC-POLICY UNCERTAINTY; STOCK-PRICES; TIME-SERIES; CRUDE-OIL;
   UNIT-ROOT; DEPENDENCE; SHOCKS; CAUSALITY; MARKETS; IMPACT
AB Investors' awareness of climate risks and attention to green investments are on the rise especially after the Paris Agreement. It stands to reason that this rise in awareness has an impact on the connection between clean energy prices and oil and technology stock prices. In this paper, we test this hypothesis by fitting an exogenous smooth transition regression model to the cycle of clean energy with oil and technology stock prices as exogenous regime driving variables before and after the Paris Agreement. After controlling for carbon price, market volatility, and policy uncertainty, we find that oil price has a stronger asymmetric persistence on the cycle of clean energy assets pre-Paris Agreement. In the period post Paris Agreement, however, the roles are reversed. Technology stock prices are the best regime drivers for clean energy assets with strong nonlinear asymmetric persistence, and the impact of oil price is completely absent. The superiority of technology stock prices over oil price in driving the cyclical behavior of clean energy assets supports our argument that the Paris Agreement and other recent climate-related events are contributing to the decoupling of the clean energy sector from traditional energy markets. Our findings are particularly important for climate mitigation and adaptation policies.
C1 [Fahmy, Hany] Royal Rd Univ, Sch Business, Victoria, BC, Canada.
RP Fahmy, H (corresponding author), Royal Rd Univ, Sch Business, Victoria, BC, Canada.
EM hany.fahmy@royalroads.ca
RI Fahmy, Hany/AAU-6782-2020
OI Fahmy, Hany/0000-0002-1221-1724
FU Royal Roads University [IGR21-07]
FX I would like to thank the Editor-in-chief, Prof. R. S. J. Tol, and two
   anonymous reviewers for their helpful comments on an earlier version of
   this paper. I appreciate the excellent research assistance of Mulham
   Akhras. This paper is financially supported by a research grant
   (IGR21-07) from Royal Roads University. All errors remain mine.
CR Ahmad W, 2018, ECON MODEL, V72, P278, DOI 10.1016/j.econmod.2018.02.008
   Ahmad W, 2017, RES INT BUS FINANC, V42, P376, DOI 10.1016/j.ribaf.2017.07.140
   Alok S, 2020, REV FINANC STUD, V33, P1146, DOI 10.1093/rfs/hhz143
   Andersson M, 2016, FINANC ANAL J, V72, P13, DOI 10.2469/faj.v72.n3.4
   Arouri M, 2016, FINANC RES LETT, V18, P136, DOI 10.1016/j.frl.2016.04.011
   Basher SA, 2006, GLOB FINANC J, V17, P224, DOI 10.1016/j.gfj.2006.04.001
   Bondia R, 2016, ENERGY, V101, P558, DOI 10.1016/j.energy.2016.02.031
   Box G. E. P., 1970, Time series analysis, forecasting and control
   Broadstock DC, 2012, ENERG ECON, V34, P1888, DOI 10.1016/j.eneco.2012.08.008
   Choi D, 2020, REV FINANC STUD, V33, P1112, DOI 10.1093/rfs/hhz086
   Da Z, 2011, J FINANC, V66, P1461, DOI 10.1111/j.1540-6261.2011.01679.x
   DICKEY DA, 1979, J AM STAT ASSOC, V74, P427, DOI 10.2307/2286348
   Dutta A, 2020, J CLEAN PROD, V266, DOI 10.1016/j.jclepro.2020.121956
   Dutta A, 2018, ENERGY, V164, P803, DOI 10.1016/j.energy.2018.09.055
   Dutta A, 2017, J CLEAN PROD, V164, P1157, DOI 10.1016/j.jclepro.2017.07.050
   Eitrheim O, 1996, J ECONOMETRICS, V74, P59, DOI 10.1016/0304-4076(95)01751-8
   Elie B, 2019, ENERGY, V178, P544, DOI 10.1016/j.energy.2019.04.155
   ENGLE RF, 1982, ECONOMETRICA, V50, P987, DOI 10.2307/1912773
   Fahmy H., 2011, THESIS CONCORDIA U M
   Fahmy H, 2022, ECON MODEL, V106, DOI 10.1016/j.econmod.2021.105696
   Fahmy H, 2014, STAT METHOD APPL-GER, V23, P577, DOI 10.1007/s10260-014-0275-6
   Ferrer R, 2018, ENERG ECON, V76, P1, DOI 10.1016/j.eneco.2018.09.022
   Granger C. W., 1993, Modelling Nonlinear Economic Relationships
   HAMILTON JD, 1989, ECONOMETRICA, V57, P357, DOI 10.2307/1912559
   Henriques I, 2008, ENERG ECON, V30, P998, DOI 10.1016/j.eneco.2007.11.001
   Inchauspe J, 2015, ENERG ECON, V48, P325, DOI 10.1016/j.eneco.2014.11.013
   INCLAN C, 1994, J AM STAT ASSOC, V89, P913, DOI 10.2307/2290916
   JARQUE CM, 1987, INT STAT REV, V55, P163, DOI 10.2307/1403192
   Kang WS, 2013, J INT FINANC MARK I, V26, P305, DOI 10.1016/j.intfin.2013.07.001
   Kapetanios G, 2003, J ECONOMETRICS, V112, P359, DOI 10.1016/S0304-4076(02)00202-6
   Kocaarslan B, 2019, ENERGY REP, V5, P117, DOI 10.1016/j.egyr.2019.01.002
   Krueger P, 2020, REV FINANC STUD, V33, P1067, DOI 10.1093/rfs/hhz137
   Kumar S, 2012, ENERG ECON, V34, P215, DOI 10.1016/j.eneco.2011.03.002
   KWIATKOWSKI D, 1992, J ECONOMETRICS, V54, P159, DOI 10.1016/0304-4076(92)90104-Y
   Lauri P, 2014, ENERG POLICY, V66, P19, DOI 10.1016/j.enpol.2013.11.033
   Pham L, 2019, ENERG ECON, V81, P355, DOI 10.1016/j.eneco.2019.04.010
   LJUNG GM, 1978, BIOMETRIKA, V65, P297, DOI 10.2307/2335207
   Lundgren AI, 2018, ENERG ECON, V72, P145, DOI 10.1016/j.eneco.2018.04.015
   LUUKKONEN R, 1988, BIOMETRIKA, V75, P491, DOI 10.1093/biomet/75.3.491
   Managi S, 2013, JPN WORLD ECON, V27, P1, DOI 10.1016/j.japwor.2013.03.003
   McCrone Angus., 2018, Global trends in renewable energy investment 2018
   Nasreen S, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.121015
   PHILLIPS PCB, 1988, BIOMETRIKA, V75, P335, DOI 10.1093/biomet/75.2.335
   Raza SA, 2018, RESOUR POLICY, V57, P61, DOI 10.1016/j.resourpol.2018.01.007
   Reboredo JC, 2017, ENERG ECON, V61, P241, DOI 10.1016/j.eneco.2016.10.015
   Reboredo JC, 2015, ENERG ECON, V48, P32, DOI 10.1016/j.eneco.2014.12.009
   Reichelt Heike., 2010, The EuroMoney Environmental Finance Handbook, P1
   Riedl A, 2017, J FINANC, V72, P2505, DOI 10.1111/jofi.12547
   Sadorsky P, 2012, ENERG ECON, V34, P248, DOI 10.1016/j.eneco.2011.03.006
   Shen S., 2019, NETSPAR ACAD SERIES
   TERASVIRTA T, 1994, J AM STAT ASSOC, V89, P208, DOI 10.2307/2291217
   Terasvirta T, 1998, STAT TEXTB MONOG, V155, P507
   Tong H, 1983, LECT NOTES STAT, V21
   Uddin GS, 2019, ENERG ECON, V80, P743, DOI 10.1016/j.eneco.2019.02.014
   WALLEY N, 1994, HARVARD BUS REV, V72, P46
   Yahya M, 2021, ENERG ECON, V95, DOI 10.1016/j.eneco.2021.105116
   Zhang H, 2020, ENERGY, V196, DOI 10.1016/j.energy.2020.117099
NR 57
TC 102
Z9 104
U1 17
U2 146
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0140-9883
EI 1873-6181
J9 ENERG ECON
JI Energy Econ.
PD FEB
PY 2022
VL 106
AR 105738
DI 10.1016/j.eneco.2021.105738
EA JAN 2022
PG 17
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA YY3FV
UT WOS:000754677700003
HC Y
HP N
DA 2025-01-10
ER

PT J
AU McEvoy, A
   Nielsen-Pincus, M
   Holz, A
   Catalano, AJ
   Gleason, KE
AF McEvoy, Andy
   Nielsen-Pincus, Max
   Holz, Andres
   Catalano, Arielle J.
   Gleason, Kelly E.
TI Projected Impact of Mid-21st Century Climate Change on Wildfire Hazard
   in a Major Urban Watershed outside Portland, Oregon USA
SO FIRE-SWITZERLAND
LA English
DT Article
DE climate change; fire regime change; fire size; fsim; low frequency fire
   regime; western Oregon; wildfire risk
ID SEVERITY FIRE REGIME; LARGE WILDLAND FIRES; PACIFIC-NORTHWEST; FUTURE
   CLIMATE; UNITED-STATES; BURN SEVERITY; RIVER-BASIN; FOREST; MANAGEMENT;
   DISTURBANCE
AB Characterizing wildfire regimes where wildfires are uncommon is challenged by a lack of empirical information. Moreover, climate change is projected to lead to increasingly frequent wildfires and additional annual area burned in forests historically characterized by long fire return intervals. Western Oregon and Washington, USA (westside) have experienced few large wildfires (fires greater than 100 hectares) the past century and are characterized to infrequent large fires with return intervals greater than 500 years. We evaluated impacts of climate change on wildfire hazard in a major urban watershed outside Portland, OR, USA. We simulated wildfire occurrence and fire regime characteristics under contemporary conditions (1992-2015) and four mid-century (2040-2069) scenarios using Representative Concentration Pathway (RCP) 8.5. Simulated mid-century fire seasons expanded in most scenarios, in some cases by nearly two months. In all scenarios, average fire size and frequency projections increased significantly. Fire regime characteristics under the hottest and driest mid-century scenarios illustrate novel disturbance regimes which could result in permanent changes to forest structure and composition and the provision of ecosystem services. Managers and planners can use the range of modeled outputs and simulation results to inform robust strategies for climate adaptation and risk mitigation.
C1 [McEvoy, Andy] USFS PNW Res Stn, Corvallis, OR 97331 USA.
   [McEvoy, Andy; Nielsen-Pincus, Max; Gleason, Kelly E.] Portland State Univ, Dept Environm Sci & Management, Portland, OR 97201 USA.
   [Holz, Andres; Catalano, Arielle J.] Portland State Univ, Dept Geog, Portland, OR 97201 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Portland State University; Portland State University
RP McEvoy, A (corresponding author), USFS PNW Res Stn, Corvallis, OR 97331 USA.; McEvoy, A (corresponding author), Portland State Univ, Dept Environm Sci & Management, Portland, OR 97201 USA.
EM andrew.mcevoy2@usda.gov; maxnp@pdx.edu; andres.holz@pdx.edu;
   acat2@pdx.edu; k.gleason@pdx.edu
RI McEvoy, Andy/JTS-3737-2023; Nielsen-Pincus, Max/E-8278-2018; Holz,
   Andres/D-1826-2014
OI McEvoy, Andrew/0000-0002-4152-6776; Catalano,
   Arielle/0000-0002-5587-6611; Holz, Andres/0000-0002-8587-2603;
   Nielsen-Pincus, Max/0000-0002-0847-4820
FU United States Forest Service (USFS) Research Participation Program;
   National Science Foundation award [1738104]; Directorate For
   Geosciences; Division Of Earth Sciences [1738104] Funding Source:
   National Science Foundation
FX A.M. was supported in part by an appointment to the United States Forest
   Service (USFS) Research Participation Program administered by the Oak
   Ridge Institute for Science and Education (ORISE) through an interagency
   agreement between the U.S. Department of Energy (DOE) and the U.S.
   Department of Agriculture (USDA). c All opinions expressed in this paper
   are the author's and do not necessarily reflect the policies and views
   of USDA, DOE, or ORAU/ORISE. AH was partially supported by National
   Science Foundation award #1738104.
CR Abatzoglou JT, 2014, GEOPHYS RES LETT, V41, P6501, DOI 10.1002/2014GL061441
   Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   Agee J., 1993, Fire Ecology of Pacific Northwest Forests
   Andrews PL, 2003, INT J WILDLAND FIRE, V12, P213, DOI 10.1071/WF02059
   Bakker JD, 2019, CAN J FOREST RES, V49, P575, DOI 10.1139/cjfr-2018-0354
   Barnett K, 2016, J FOREST, V114, P610, DOI 10.5849/jof.15-111
   Barros AMG, 2019, FOREST ECOL MANAG, V433, P514, DOI 10.1016/j.foreco.2018.10.041
   Batllori E, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1906
   BESSIE WC, 1995, ECOLOGY, V76, P747, DOI 10.2307/1939341
   Bowman DMJS, 2011, J BIOGEOGR, V38, P2223, DOI 10.1111/j.1365-2699.2011.02595.x
   Bradshaw L., 2008, FIRE FAMILY PLUS VER
   Brown TC, 2008, J AM WATER RESOUR AS, V44, P1474, DOI 10.1111/j.1752-1688.2008.00252.x
   Buma B, 2019, AUSTRAL ECOL, V44, P812, DOI 10.1111/aec.12751
   Byram G.M., 1959, Forest fire: Control and Use, P61, DOI DOI 10.2307/1932261
   Calkin DE, 2014, P NATL ACAD SCI USA, V111, P746, DOI 10.1073/pnas.1315088111
   Calkin DE, 2005, J FOREST, V103, P179, DOI 10.1093/jof/103.4.179
   Cohen JackD., 1985, NATL FIRE DANGER RAT
   Cooper MG, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084009
   Creutzburg MK, 2017, ECOL APPL, V27, P503, DOI 10.1002/eap.1460
   Cruz MG, 2010, INT J WILDLAND FIRE, V19, P377, DOI 10.1071/WF08132
   Cumming SG, 2001, CAN J FOREST RES, V31, P1297, DOI 10.1139/cjfr-31-8-1297
   Dalton MM, 2013, J CLIMATE, V26, P10051, DOI 10.1175/JCLI-D-12-00564.1
   Davis R, 2017, FOREST ECOL MANAG, V390, P173, DOI 10.1016/j.foreco.2017.01.027
   Dunn CJ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6498
   Emelko MB, 2011, WATER RES, V45, P461, DOI 10.1016/j.watres.2010.08.051
   Finney MA, 2011, STOCH ENV RES RISK A, V25, P973, DOI 10.1007/s00477-011-0462-z
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gebert KM, 2007, WEST J APPL FOR, V22, P188, DOI 10.1093/wjaf/22.3.188
   Gedalof Z, 2005, ECOL APPL, V15, P154, DOI 10.1890/03-5116
   Gilbertson-Day J., 2018, Pacific Northwest Quantitative Wildfire Risk Assessment: Methods and Results
   Gilleland E., 2020, EXTREMES FUNCTIONS P
   Gleason KE, 2016, HYDROL PROCESS, V30, P3855, DOI 10.1002/hyp.10897
   Graves D, 2007, CLIM RES, V33, P143, DOI 10.3354/cr033143
   Hallema DW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03735-6
   Halofsky J.E., 2011, Adapting to climate change at Olympic National Forest and Olympic National Park
   Halofsky JE, 2018, CLIMATIC CHANGE, V146, P89, DOI 10.1007/s10584-017-1972-6
   Halofsky JS, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0209490
   Halofsky JS, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2140
   Haugo R, 2015, FOREST ECOL MANAG, V335, P37, DOI 10.1016/j.foreco.2014.09.014
   Hausfather Z, 2020, P NATL ACAD SCI USA, V117, P27791, DOI 10.1073/pnas.2017124117
   Hessburg PF, 2016, FOREST ECOL MANAG, V366, P221, DOI 10.1016/j.foreco.2016.01.034
   Hirsch KG, 1996, INT J WILDLAND FIRE, V6, P199, DOI 10.1071/WF9960199
   Holbrook StewartH., 1943, Burning An Empire: The Story of American Forest Fires
   Holden ZA, 2018, P NATL ACAD SCI USA, V115, pE8349, DOI 10.1073/pnas.1802316115
   INGEBRITSEN SE, 1992, J GEOPHYS RES-SOL EA, V97, P4599, DOI 10.1029/91JB03064
   Jiang YY, 2011, CAN J FOREST RES, V41, P1836, DOI [10.1139/X11-102, 10.1139/x11-102]
   Jung IW, 2011, HYDROL PROCESS, V25, P258, DOI 10.1002/hyp.7842
   Jurjevich J., 2017, Coordinated population forecast for Clackamas County, its urban growth boundaries (UGB), and area outside UGBs 2017-2067 (Oregon Population Forecast Program, 26)
   Keeley JE, 2009, INT J WILDLAND FIRE, V18, P116, DOI 10.1071/WF07049
   Kemp J.Larry., 1967, Epitaph for the Giants: The Story of the Tillamook Burn
   Kitzberger T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188486
   Kitzberger T, 2012, ECOSYSTEMS, V15, P97, DOI 10.1007/s10021-011-9494-y
   Krawchuk MA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005102
   LANDFIRE 1.4.0, CAN BAS HEIGHT LAYER
   LANDFIRE 1.4.0, FIR REG CLASS LAYER
   LANDFIRE 1.4.0, EL LAYER 2014
   LANDFIRE 1.4.0, SLOP LAYER 2014
   LANDFIRE 1.4.0, 40 SCOTT BURG FIR BE
   LANDFIRE 1.4.0, CAN HEIGHT LAYER 201
   LANDFIRE 1.4.0, ASP LAYER 2014
   LANDFIRE 1.4.0, CAN BULK DENS LAYER
   LANDFIRE 1.4.0, CAN COV LAYER 2014
   Latta G, 2010, FOREST ECOL MANAG, V259, P720, DOI 10.1016/j.foreco.2009.09.003
   Lozano OM, 2017, RISK ANAL, V37, P1898, DOI 10.1111/risa.12739
   Mariani M, 2018, GEOPHYS RES LETT, V45, P5071, DOI 10.1029/2018GL078294
   McDowell NG, 2020, SCIENCE, V368, P964, DOI 10.1126/science.aaz9463
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   McWethy DB, 2013, GLOBAL ECOL BIOGEOGR, V22, P900, DOI 10.1111/geb.12038
   McWethy DB, 2019, NAT SUSTAIN, V2, P797, DOI 10.1038/s41893-019-0353-8
   Meyn A, 2007, PROG PHYS GEOG, V31, P287, DOI 10.1177/0309133307079365
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Moody JA, 2008, HYDROL PROCESS, V22, P2063, DOI 10.1002/hyp.6806
   Moritz MA, 1997, ECOL APPL, V7, P1252, DOI 10.1890/1051-0761(1997)007[1252:AEDEFI]2.0.CO;2
   Morris W.G., 1934, OREG HIST QUART, V35, P313
   Mote PW, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0012-1
   Mote PW, 2010, CLIMATIC CHANGE, V102, P29, DOI 10.1007/s10584-010-9848-z
   Mote PW, 2003, CLIMATIC CHANGE, V61, P45, DOI 10.1023/A:1026302914358
   National Interagency Fire Center, HIST SIGN WILDF 2020
   Nelson KN, 2017, INT J WILDLAND FIRE, V26, P852, DOI [10.1071/WF16226, 10.1071/wf16226]
   Nolin AW, 2012, MT RES DEV, V32, pS35, DOI 10.1659/MRD-JOURNAL-D-11-00038.S1
   Oregon Department of Forestry, 2015, OR LAND MAN LAYER OR
   Parisien MA, 2020, FOREST ECOL MANAG, V460, DOI 10.1016/j.foreco.2019.117698
   Parisien MA, 2019, INT J WILDLAND FIRE, V28, P913, DOI 10.1071/WF19069
   Peterson DL, 2011, ECOL STUD-ANAL SYNTH, V213, P249, DOI 10.1007/978-94-007-0301-8_10
   Podur J, 2010, ECOL MODEL, V221, P1301, DOI 10.1016/j.ecolmodel.2010.01.013
   R Core Team, 2019, R LANG ENV STAT COMP
   Reilly MJ, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1695
   Riley KL, 2018, RESOURCES-BASEL, V7, DOI 10.3390/resources7010004
   Riley KL, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1543
   Riley KL, 2013, INT J WILDLAND FIRE, V22, P894, DOI 10.1071/WF12149
   Rogers BM, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2011JG001695
   Rupp DE, 2017, CLIM DYNAM, V49, P1783, DOI 10.1007/s00382-016-3418-7
   Schoennagel T, 2017, P NATL ACAD SCI USA, V114, P4582, DOI 10.1073/pnas.1617464114
   Schoof JT, 2015, J GEOPHYS RES-ATMOS, V120, P3029, DOI 10.1002/2014JD022376
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Scott J.H., 2013, WILDFIRE RISK ASSESS, DOI 10.2737/rmrs-gtr-315
   Scott J.H., 2012, FIRE VEGETATION TECH
   Scott J, 2012, NAT HAZARDS, V64, P707, DOI 10.1007/s11069-012-0265-7
   Seidl R, 2016, J APPL ECOL, V53, P120, DOI 10.1111/1365-2664.12511
   Sheehan T, 2015, ECOL MODEL, V317, P16, DOI 10.1016/j.ecolmodel.2015.08.023
   Short K.C., 2017, FPAFOD2017050 FOR SE, V4th ed.
   Simpson M., 2013, MODELED POTENTIAL VE
   Sommerfeld A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06788-9
   Spies T.A., 2018, SYNTHESIS SCI INFORM, P95
   Stavros EN, 2014, INT J WILDLAND FIRE, V23, P899, DOI 10.1071/WF13169
   Stavros EN, 2014, CLIMATIC CHANGE, V126, P455, DOI 10.1007/s10584-014-1229-6
   Stephens SL, 2013, SCIENCE, V342, P41, DOI 10.1126/science.1240294
   Tague C, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007179
   Tepley AJ, 2018, J ECOL, V106, P1925, DOI 10.1111/1365-2745.12950
   Tepley AJ, 2013, ECOLOGY, V94, P1729, DOI 10.1890/12-1506.1
   Thompson MP, 2016, FORESTS, V7, DOI 10.3390/f7030064
   Thompson MP, 2016, ENVIRON MODEL ASSESS, V21, P1, DOI 10.1007/s10666-015-9469-z
   Thompson MP, 2013, WATER-SUI, V5, P945, DOI 10.3390/w5030945
   Thompson MP, 2013, INTEGR ENVIRON ASSES, V9, P329, DOI 10.1002/ieam.1365
   Turner MG, 2013, LANDSCAPE ECOL, V28, P1081, DOI 10.1007/s10980-012-9741-4
   USDA Forest Service, 2011, FOR FAUC FOR IMP FRI
   Wang XL, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba101
   Weidner E., 2011, FOREST FAUCET DRINKI
   Whitlock C, 2015, BIOSCIENCE, V65, P151, DOI 10.1093/biosci/biu194
   Wondzell SM, 2003, FOREST ECOL MANAG, V178, P75, DOI 10.1016/S0378-1127(03)00054-9
   Wotton BM, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7e6e
NR 123
TC 12
Z9 14
U1 0
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2571-6255
J9 FIRE-BASEL
JI Fire-Switzerland
PD DEC
PY 2020
VL 3
IS 4
AR 70
DI 10.3390/fire3040070
PG 24
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA US6YA
UT WOS:000697572100017
OA gold
DA 2025-01-10
ER

PT J
AU Yang, DY
   Frangopol, DM
AF Yang, David Y.
   Frangopol, Dan M.
TI Risk-Based Vulnerability Analysis of Deteriorating Coastal Bridges under
   Hurricanes Considering Deep Uncertainty of Climatic and Socioeconomic
   Changes
SO ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART
   A-CIVIL ENGINEERING
LA English
DT Article
DE Coastal bridges; Hurricanes; Climate change; Socioeconomic growth;
   Reliability analysis; Risk assessment; Life-cycle assessment; Robust
   decision-making
ID CORRODING RC STRUCTURES; ADAPTATION ASSESSMENT; DAMAGE RISKS;
   RELIABILITY; OPTIMIZATION; FRAMEWORK; INFRASTRUCTURE; PERFORMANCE;
   IMPACT
AB Corrosion and hurricanes pose substantial risk to coastal bridges. This risk is compounded by future climatic and socioeconomic changes due to the increasing temperature and humidity, rising sea level, changing frequency and intensity of hurricanes, and amplifying exposure and consequences to adverse events. These future conditions, however, involve deep uncertainty, making life-cycle risk assessment and management extremely difficult. To address this challenge, a novel approach is proposed to identify, among various factors related to climatic and socioeconomic changes, the vulnerability of coastal bridges that could lead to unacceptable life-cycle risk. The considered factors include temperature increase, sea level rise, hurricane frequency and intensity, and socioeconomic growth. The acceptable risk is derived from the threshold reliability index of existing structures and the associated failure consequences. The entire space of relevant factors is divided into acceptable and unacceptable categories using Latin hypercube sampling and life-cycle risk assessment. Advanced analysis tools, including feature scoring, scenario discovery, and dimensional stacking, are then used to pinpoint the driving factors of bridge vulnerability and their thresholds that are prone to create unacceptable risk. The proposed approach is applied to a representative bridge in a coastal setting. The implication of the approach on robust decision-making about climate adaptation is also discussed. (C) 2020 American Society of Civil Engineers.
C1 [Yang, David Y.] Lehigh Univ, Dept Civil & Environm Engn, ATLSS Engn Res Ctr, 117 ATLSS Dr, Bethlehem, PA 18015 USA.
   [Frangopol, Dan M.] Lehigh Univ, Dept Civil & Environm Engn ing, ATLSS Engn Res Ctr, Struct Engn & Architecture, 117 ATLSS Dr, Bethlehem, PA 18015 USA.
C3 Lehigh University; Lehigh University
RP Frangopol, DM (corresponding author), Lehigh Univ, Dept Civil & Environm Engn ing, ATLSS Engn Res Ctr, Struct Engn & Architecture, 117 ATLSS Dr, Bethlehem, PA 18015 USA.
EM yiy414@lehigh.edu; dan.frangopol@lehigh.edu
RI Frangopol, Dan/A-7408-2015; Yang, David/L-2053-2017
OI Yang, David/0000-0003-0959-6333
FU US National Science Foundation [CMMI 1537926]; US DOT Region 3
   University Transportation Center [CIAM-UTC-REG6]
FX The authors are grateful for the financial support received from the US
   National Science Foundation (Grant CMMI 1537926) and the US DOT Region 3
   University Transportation Center (Grant CIAM-UTC-REG6). The opinions and
   conclusions presented in this paper are those of the authors and do not
   necessarily reflect the views of the sponsoring organization.
CR Akiyama M, 2012, STRUCT INFRASTRUCT E, V8, P125, DOI 10.1080/15732470903363313
   Alipour A, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001399
   [Anonymous], 2014, Building code requirements for structural concrete and. commentary
   [Anonymous], 2008, GUIDE SPECIFICATIONS
   [Anonymous], 2013, NATL COASTAL POPULAT
   [Anonymous], 2019, National Storm Surge Hazard Maps
   Ataei N, 2013, J BRIDGE ENG, V18, P275, DOI 10.1061/(ASCE)BE.1943-5592.0000371
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Bastidas-Arteaga E, 2013, ENG STRUCT, V51, P259, DOI 10.1016/j.engstruct.2013.01.006
   Biondini F, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001544
   Bjarnadottir S, 2011, STRUCT SAF, V33, P173, DOI 10.1016/j.strusafe.2011.02.003
   Broomfield J.P., 2007, CORROSION STEEL CONC, V2nd
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   CEN (European Committee for Standardization), 2002, 1990 EUROCODE BASIS
   Chaves IA, 2016, OCEAN ENG, V126, P129, DOI 10.1016/j.oceaneng.2016.09.013
   Chen Q, 2009, J HYDRAUL ENG, V135, P175, DOI 10.1061/(ASCE)0733-9429(2009)135:3(175)
   Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
   Decò A, 2011, J RISK RES, V14, P1057, DOI 10.1080/13669877.2011.571789
   Dong Y, 2017, J PERFORM CONSTR FAC, V31, DOI 10.1061/(ASCE)CF.1943-5509.0001088
   Dong Y, 2016, J PERFORM CONSTR FAC, V30, DOI 10.1061/(ASCE)CF.1943-5509.0000883
   Du YG, 2005, MAG CONCRETE RES, V57, P135, DOI 10.1680/macr.57.3.135.60482
   Faber M.H., 2000, Progress in Structural Engineering and Materials, V2, P247, DOI [10.1002/1528-2716(200004/06)2:23.0.co;2-h, DOI 10.1002/1528-2716(200004/06)2:23.0.CO;2-H]
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frangopol D.M., 1997, Structural Engineering International Journal of IABSE, V7, P193
   Frangopol DM, 2017, STRUCT INFRASTRUCT E, V13, P1239, DOI 10.1080/15732479.2016.1267772
   Frangopol DM, 2016, STRUCT INFRASTRUCT E, V12, P1, DOI 10.1080/15732479.2014.999794
   Frangopol DM, 2011, STRUCT INFRASTRUCT E, V7, P389, DOI 10.1080/15732471003594427
   Friedman JH, 1999, STAT COMPUT, V9, P123, DOI 10.1023/A:1008894516817
   Geron A., 2019, Hands -On Machine Learning with ScikitLearn and TensorFlow
   Hallegatte S., 2014, Natural disasters and climate change, DOI DOI 10.1007/978-3-319-08933-1
   Hamarat C, 2014, SIMUL MODEL PRACT TH, V46, P25, DOI 10.1016/j.simpat.2014.02.008
   Jaxa-Rozen M, 2018, ENVIRON MODELL SOFTW, V107, P245, DOI 10.1016/j.envsoft.2018.06.011
   JCSS, 2001, Probabilistic Model Code, Part 3, Resistance Models 3.0* Static Properties of Structural Steel (Rolled Sections) Properties Considered
   Jiang SH, 2014, ENG GEOL, V175, P1, DOI 10.1016/j.enggeo.2014.03.011
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Kwakkel JH, 2017, ENVIRON MODELL SOFTW, V96, P239, DOI 10.1016/j.envsoft.2017.06.054
   LEBLANC J, 1990, PROCEEDINGS OF THE FIRST IEEE CONFERENCE ON VISUALIZATION - VISUALIZATION 90, P230, DOI 10.1109/VISUAL.1990.146386
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Li QW, 2016, STRUCT SAF, V59, P108, DOI 10.1016/j.strusafe.2016.01.001
   Lin N, 2014, J GEOPHYS RES-ATMOS, V119, P8606, DOI 10.1002/2014JD021584
   Lin N, 2012, NAT CLIM CHANGE, V2, P462, DOI 10.1038/NCLIMATE1389
   Liu L, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000516
   Manzocchi T, 2015, P SPE ANN TECHN C EX
   Meng B, 2007, NEW HORIZ BETTER PRA, P1
   Mondoro A, 2018, STRUCT SAF, V74, P14, DOI 10.1016/j.strusafe.2018.03.002
   Mondoro A, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000346
   Nowak AS, 2003, ACI STRUCT J, V100, P377
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Oddo PC, 2020, RISK ANAL, V40, P153, DOI 10.1111/risa.12888
   Olsen R, 2015, ADAPTING INFRASTRUCT
   Padgett J, 2008, J BRIDGE ENG, V13, P6, DOI 10.1061/(ASCE)1084-0702(2008)13:1(6)
   Rackwitz R, 2000, STRUCT SAF, V22, P27, DOI 10.1016/S0167-4730(99)00037-5
   Rahman A., 2008, Final Report
   Ryan PC, 2016, INT J ELEC POWER, V78, P513, DOI 10.1016/j.ijepes.2015.11.061
   Salman AM, 2017, RELIAB ENG SYST SAFE, V168, P136, DOI 10.1016/j.ress.2017.03.002
   Sánchez-Silva M, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001543
   Saydam D, 2013, J INFRASTRUCT SYST, V19, P252, DOI 10.1061/(ASCE)IS.1943-555X.0000131
   SORENSEN JD, 1994, STRUCT SAF, V15, P197, DOI 10.1016/0167-4730(94)90040-X
   Stewart MG, 2009, AUST J STRUCT ENG, V10, P121, DOI 10.1080/13287982.2010.11465038
   Stewart MG, 2008, RELIAB ENG SYST SAFE, V93, P373, DOI 10.1016/j.ress.2006.12.013
   Stewart MG, 2011, ENG STRUCT, V33, P1326, DOI 10.1016/j.engstruct.2011.01.010
   Stewart MG, 2001, RELIAB ENG SYST SAFE, V74, P263, DOI 10.1016/S0951-8320(01)00079-5
   Sykora M, 2017, STRUCT INFRASTRUCT E, V13, P181, DOI 10.1080/15732479.2016.1198394
   Val DV, 1997, J STRUCT ENG-ASCE, V123, P1638, DOI 10.1061/(ASCE)0733-9445(1997)123:12(1638)
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Yang DY, 2018, MAINTENANCE, SAFETY, RISK, MANAGEMENT AND LIFE-CYCLE PERFORMANCE OF BRIDGES, P1996
   Yang DY, 2019, J BRIDGE ENG, V24, DOI 10.1061/(ASCE)BE.1943-5592.0001462
   Yang DY, 2020, STRUCT INFRASTRUCT E, V16, P531, DOI 10.1080/15732479.2019.1639776
   Yang DY, 2019, STRUCT SAF, V78, P33, DOI 10.1016/j.strusafe.2018.12.005
   Yang DY, 2019, RELIAB ENG SYST SAFE, V183, P197, DOI 10.1016/j.ress.2018.11.016
NR 70
TC 15
Z9 17
U1 1
U2 19
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 2376-7642
J9 ASCE-ASME J RISK U A
JI ASCE-ASME J. Risk. Uncertain. Eng. Syst. Part A.-Civ. Eng.
PD SEP
PY 2020
VL 6
IS 3
AR 04020032
DI 10.1061/AJRUA6.0001075
PG 14
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering
GA QH9UN
UT WOS:000618621100010
DA 2025-01-10
ER

PT J
AU Antón, SC
   Taboada, HG
   Middleton, ER
   Rainwater, CW
   Taylor, AB
   Turner, TR
   Turnquist, JE
   Weinstein, KJ
   Williams, SA
AF Anton, Susan C.
   Taboada, Hannah G.
   Middleton, Emily R.
   Rainwater, Christopher W.
   Taylor, Andrea B.
   Turner, Trudy R.
   Turnquist, Jean E.
   Weinstein, Karen J.
   Williams, Scott A.
TI Morphological variation in <i>Homo</i> erectus and the origins of
   developmental plasticity
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE hominin dispersal; sexual dimorphism; phenotypic variation;
   ecogeography; climatic adaptation; resource availability
ID BODY-SIZE; EVOLUTIONARY BIOLOGY; COMPLETE SKULL; DMANISI; PLEISTOCENE;
   DIMORPHISM; HISTORY; GEORGIA; BRAIN; PITHECANTHROPUS
AB Homo erectus was the first hominin to exhibit extensive range expansion. This extraordinary departure from Africa, especially into more temperate climates of Eurasia, has been variously related to technological, energetic and foraging shifts. The temporal and regional anatomical variation in H. erectus suggests that a high level of developmental plasticity, a key factor in the ability of H. sapiens to occupy a variety of habitats, may also have been present in H. erectus. Developmental plasticity, the ability to modify development in response to environmental conditions, results in differences in size, shape and dimorphism across populations that relate in part to levels of resource sufficiency and extrinsic mortality. These differences predict not only regional variations but also overall smaller adult sizes and lower levels of dimorphism in instances of resource scarcity and high predator load. We consider the metric variation in 35 human and non-human primate 'populations' from known environmental contexts and 14 time-and space-restricted paleodemes of H. erectus and other fossil Homo. Human and non-human primates exhibit more similar patterns of variation than expected, with plasticity evident, but in differing patterns by sex across populations. The fossil samples show less evidence of variation than expected, although H. erectus varies more than Neandertals.
   This article is part of the themed issue 'Major transitions in human evolution'.
C1 [Anton, Susan C.; Taboada, Hannah G.; Middleton, Emily R.; Rainwater, Christopher W.; Williams, Scott A.] NYU, Dept Anthropol, New York, NY 10003 USA.
   [Middleton, Emily R.] Univ Missouri, Dept Pathol & Anat Sci, M263 Med Sci Bldg, Columbia, MO 65212 USA.
   [Taylor, Andrea B.] Duke Univ, Sch Med, Dept Orthopaed, Durham, NC 27708 USA.
   [Taylor, Andrea B.] Duke Univ, Sch Med, Dept Evolutionary Anthropol, Durham, NC 27708 USA.
   [Turner, Trudy R.] Univ Wisconsin, Dept Anthropol, Milwaukee, WI 53201 USA.
   [Turner, Trudy R.] Univ Orange Free State, Bloemfontein, South Africa.
   [Turnquist, Jean E.] Univ Puerto Rico, Caribbean Primate Res Ctr, Med Sci Campus, San Juan, PR 00936 USA.
   [Turnquist, Jean E.] Univ Puerto Rico, Dept Anat & Neurobiol, Med Sci Campus, San Juan, PR 00936 USA.
   [Weinstein, Karen J.] Dickinson Coll, Dept Anthropol & Archaeol, Carlisle, PA 17013 USA.
C3 New York University; University of Missouri System; University of
   Missouri Columbia; Duke University; Duke University; University of
   Wisconsin System; University of Wisconsin Milwaukee; University of the
   Free State; University of Puerto Rico; University of Puerto Rico Medical
   Sciences Campus; University of Puerto Rico Mayaguez; University of
   Puerto Rico; University of Puerto Rico Medical Sciences Campus;
   Dickinson College
RP Antón, SC (corresponding author), NYU, Dept Anthropol, New York, NY 10003 USA.
EM susan.anton@nyu.edu
RI Williams, Scott/JXN-8602-2024
OI Taboada, Hannah/0000-0002-0805-9854; Williams, Scott/0000-0001-7860-8962
FU Wenner-Gren foundation; LSB Leakey foundation; NSF [BCS-0633167,
   BCS-0317292]; Caribbean Primate Research Center (CPRC) NIH ORIP
   [5P40OD012217]
FX Wenner-Gren and LSB Leakey foundations; NSF BCS-0633167 and BCS-0317292;
   Caribbean Primate Research Center (CPRC) NIH ORIP grant no.
   5P40OD012217.
CR Aiello LC, 2002, AM J HUM BIOL, V14, P551, DOI 10.1002/ajhb.10069
   AIELLO LC, 1995, CURR ANTHROPOL, V36, P199, DOI 10.1086/204350
   Andrews P., 1984, Courier Forschungsinstitut Senckenberg, V69, P167
   [Anonymous], 2005, COMMENSALISM CONFLIC
   [Anonymous], Z ETHNOLOGIE
   [Anonymous], THESIS
   [Anonymous], 1961, PRINCIPLES ANIMAL
   Ant⠁on S.C., 2001, SCI LIFE PAPERS HONO, P25
   Antón SC, 2004, ANNU REV ANTHROPOL, V33, P271, DOI 10.1146/annurev.anthro.33.070203.144024
   Antón SC, 2003, YEARB PHYS ANTHROPOL, V46, P126, DOI 10.1002/ajpa.10399
   Antón SC, 2002, J HUM EVOL, V43, P773, DOI 10.1006/jhev.2002.0602
   Antón SC, 2002, AM J PHYS ANTHROPOL, V118, P301, DOI 10.1002/ajpa.10091
   Anton SC, 1994, THESIS
   Anton Susan C., 2007, P1655, DOI 10.1007/978-3-540-33761-4_54
   Anton SC, 2007, FOLIA PRIMATOL, V78, P365, DOI 10.1159/000105150
   Antón SC, 2014, SCIENCE, V345, P45, DOI 10.1126/science.1236828
   Antón SC, 2012, CURR ANTHROPOL, V53, pS479, DOI 10.1086/667692
   Antón SC, 2012, CURR ANTHROPOL, V53, pS278, DOI 10.1086/667695
   Antón SC, 2011, J HUM EVOL, V60, P70, DOI 10.1016/j.jhevol.2010.08.004
   Asfaw B, 2002, NATURE, V416, P317, DOI 10.1038/416317a
   Baab KL, 2008, J HUM EVOL, V54, P827, DOI 10.1016/j.jhevol.2007.11.003
   Benjamini Y, 2001, ANN STAT, V29, P1165
   Berger LR, 2015, ELIFE, V4, DOI 10.7554/eLife.09560
   BLACK DAVIDSON, 1931, PALAEONTOLOGIA SINICA SER D, V7, P1
   Blomquist GE, 2012, BONES GENETICS BEHAV
   Boas F., 1928, Materials for the study of inheritance in man, V6
   Bocquet-Appel JP, 1999, J ARCHAEOL SCI, V26, P327, DOI 10.1006/jasc.1998.0370
   Boule M., 1957, FOSSIL MEN
   Boule M., 1929, ANTHROPOLOGIE, V39, P455
   CHISHOLM JS, 1993, CURR ANTHROPOL, V34, P1, DOI 10.1086/204131
   Cobb WM, 1935, SCI MON, V40, pP157
   Dembo M, 2015, P ROY SOC B-BIOL SCI, V282, P133, DOI 10.1098/rspb.2015.0943
   Donnelly SM, 1999, AM J PHYS ANTHROPOL, V108, P507, DOI 10.1002/(SICI)1096-8644(199904)108:4<507::AID-AJPA8>3.0.CO;2-0
   Draper HH, 1980, HUMAN BIOL CIRCUMPOL, P257
   Dubois E, 1932, P K AKAD WET-AMSTERD, V35, P716
   Dubois E, 1924, P K AKAD WET-AMSTERD, V27, P265
   EI-Zaatari S, 2008, J ARCHAEOL SCI, V35, P2517, DOI 10.1016/j.jas.2008.04.002
   Eveleth P.., 1976, Worldwide variation in human growth, V1
   FILE S, 1989, AM J PRIMATOL, V18, P231, DOI 10.1002/ajp.1350180306
   Gabunia L, 2000, SCIENCE, V288, P1019, DOI 10.1126/science.288.5468.1019
   Gilbert W H., 2008, Homo erectus: Pleistocene Evidence from the Middle Awash, Ethiopia, V1
   Grabowski M, 2015, J HUM EVOL, V85, P75, DOI 10.1016/j.jhevol.2015.05.005
   Graves RR, 2010, J HUM EVOL, V59, P542, DOI 10.1016/j.jhevol.2010.06.007
   Groves C.P., 1975, Casopis pro Nineralogii Geologii, V20, P225
   HALDANE JBS, 1955, EVOLUTION, V9, P484, DOI 10.2307/2405484
   Hamada Y., 1996, Variations in the Asian Macaques, P97
   Hanya G, 2010, JAPANESE MACAQUES, P79, DOI 10.1007/978-4-431-53886-8_4
   Heim J-L., 1980, HOMME FOSSILES FERRA, V1
   Heim J-L., 1980, LES HOMME FOSSILES D, V2
   Hilton CE, 2014, CAM S BIO EVOL ANTHR, V68, P1, DOI 10.1017/CBO9781139136785
   Howell FC, 1999, J ANTHROPOL RES, V55, P191, DOI 10.1086/jar.55.2.3631209
   Howells W.W., 1980, Yearbook of Physical Anthropology, V23, P1
   Huffman O. Frank, 2010, Paleoanthropology, V2010, P1
   Indriati E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021562
   Isbell Lynne A., 1994, Evolutionary Anthropology, V3, P61, DOI 10.1002/evan.1360030207
   Isler K, 2012, CURR ANTHROPOL, V53, pS453, DOI 10.1086/667623
   JAMISON PL, 1970, ARCTIC ANTHROPOL, V7, P125
   Kaplan BA, 1954, AM ANTHROPOL, V56, P780, DOI 10.1525/aa.1954.56.5.02a00050
   Katz MichaelB., 1996, SHADOW POORHOUSE SOC, V2nd
   Kidder JH, 2004, J HUM EVOL, V46, P299, DOI 10.1016/j.jhevol.2003.12.003
   Knowles KC, 2014, AM J PHYS ANTHROPOL, V153, P160
   Koike S, 1988, J COLLEGE LIBERAL AR, V24, P73
   Kuzawa CW, 2012, CURR ANTHROPOL, V53, pS369, DOI 10.1086/667410
   LANPHEAR KM, 1990, AM J PHYS ANTHROPOL, V81, P35, DOI 10.1002/ajpa.1330810106
   LEAKEY REF, 1976, NATURE, V261, P574, DOI 10.1038/261574a0
   LEAKEY REF, 1985, AM J PHYS ANTHROPOL, V67, P135, DOI 10.1002/ajpa.1330670209
   LEAKEY REF, 1976, NATURE, V261, P572, DOI 10.1038/261572a0
   Lee Phyllis C., 2003, P41
   LEIGH SR, 1992, AM J PHYS ANTHROPOL, V87, P1, DOI 10.1002/ajpa.1330870102
   Leonard W.R., 2010, HUMAN EVOLUTIONARY B, P157
   LEONARD WR, 1994, AM J HUM BIOL, V6, P77, DOI 10.1002/ajhb.1310060111
   Lepre CJ, 2015, J HUM EVOL, V86, P99, DOI 10.1016/j.jhevol.2015.06.010
   Lewontin R.C., 1966, SYST BIOL, V15, P141, DOI [10.2307/2411632, DOI 10.2307/SYSBIO/15.2.141, 10.2307/sysbio/15.2.141]
   Lordkipanidze D, 2007, NATURE, V449, P305, DOI 10.1038/nature06134
   Lordkipanidze D, 2013, SCIENCE, V342, P326, DOI 10.1126/science.1238484
   Margvelashvili A, 2016, AM J PHYS ANTHROPOL, V160, P229, DOI 10.1002/ajpa.22966
   MAYR E, 1950, COLD SPRING HARB SYM, V15, P109, DOI 10.1101/SQB.1950.015.01.013
   Mayr E., 1944, National Research Council Committee on Common Problems of Genetics, Paleontology, and Systematics Bulletin, V2, P11
   MCHENRY HM, 1992, AM J PHYS ANTHROPOL, V87, P407, DOI 10.1002/ajpa.1330870404
   MCHENRY HM, 1994, J HUM EVOL, V27, P77, DOI 10.1006/jhev.1994.1036
   Meyer M, 2016, NATURE, V531, P504, DOI 10.1038/nature17405
   Middleton E.R., 2015, THESIS
   Plavcan JM, 2012, CURR ANTHROPOL, V53, pS409, DOI 10.1086/667605
   Plavcan JM, 1997, AM J PHYS ANTHROPOL, V103, P37, DOI 10.1002/(SICI)1096-8644(199705)103:1<37::AID-AJPA4>3.0.CO;2-A
   Pontzer H, 2010, J HUM EVOL, V58, P492, DOI 10.1016/j.jhevol.2010.03.006
   Potts R, 2004, SCIENCE, V305, P75, DOI 10.1126/science.1097661
   Raines JL, 2014, AM J PHYS ANTHROPOL, V153, P216
   Rawlins R. G., 1986, The Cayo Santiago Macaques: History, Behavior, and Biology
   RAWLINS RG, 1982, AM J PRIMATOL, V3, P23, DOI 10.1002/ajp.1350030103
   Riggs P, 1994, STATURE LIVING STAND, P60
   Rightmire G.P., 1993, The evolution of Homo erectus: comparative anatomical studies of an extinct human species
   RIGHTMIRE GP, 1981, PALEOBIOLOGY, V7, P241, DOI 10.1017/S0094837300004012
   Ruff C, 2002, ANNU REV ANTHROPOL, V31, P211, DOI 10.1146/annurev.anthro.31.040402.085407
   Schwartz JH, 2014, SCIENCE, V344, DOI 10.1126/science.1250056
   SELTZER C. C., 1933, HUMAN BIOL, V5, P313
   Serrat MA, 2010, J APPL PHYSIOL, V109, P1869, DOI 10.1152/japplphysiol.01022.2010
   Shen GJ, 2009, NATURE, V458, P198, DOI 10.1038/nature07741
   SHIPMAN P, 1989, J HUM EVOL, V18, P373, DOI 10.1016/0047-2484(89)90037-7
   Simpson SW, 2008, SCIENCE, V322, P1089, DOI 10.1126/science.1163592
   SOKAL RR, 1980, SYST ZOOL, V29, P50, DOI 10.2307/2412626
   Sokal RR, 2012, J AM STAT ASSOC, DOI DOI 10.1080/01621459.1976.10481517
   Spoor F, 2007, NATURE, V448, P688, DOI 10.1038/nature05986
   Spoor F, 2015, NATURE, V519, P83, DOI 10.1038/nature14224
   Spoor F, 2013, NATURE, V502, P452, DOI 10.1038/502452a
   Stefansson Vilhjalmur., 1913, My life with the Eskimo
   Stringer C.B., 1984, Courier Forschungsinstitut Senckenberg, V69, P131
   SWISHER CC, 1994, SCIENCE, V263, P1118, DOI 10.1126/science.8108729
   Tappen M, 2007, STONE AGE I PUBLICAT, V2
   TATTERSALL I, 1986, J HUM EVOL, V15, P165, DOI 10.1016/S0047-2484(86)80043-4
   Trinkaus E, 2014, SHANIDAR NEANDERTALS
   Turner TR, 1997, AM J PHYS ANTHROPOL, V103, P19, DOI 10.1002/(SICI)1096-8644(199705)103:1<19::AID-AJPA3>3.3.CO;2-I
   TURNQUIST JE, 1989, AM J PRIMATOL, V19, P1, DOI 10.1002/ajp.1350190102
   von Koenigswald GHR, 1939, NATURE, V144, P926, DOI 10.1038/144926a0
   Walker A., 1993, NARIOKOTOME HOMO ERE
   Walker R, 2006, AM J HUM BIOL, V18, P295, DOI 10.1002/ajhb.20510
   Waugh L, 1930, J DENT RES, V10, P387
   Weidenreich F., 1940, Bulletin of the Geological Society of China, V19, P479
   Weidenreich F., 1941, Palaeontologia Sinica New Ser D, Vno. 5, P1
   Weidenreich F., 1943, Palaeontologia Sinica, VD 10, P1
   West-Eberhard Mary Jane, 2003, pi
   Wilson M, 1997, BRIT MED J, V314, P1271, DOI 10.1136/bmj.314.7089.1271
   Wood B, 2001, AM J PHYS ANTHROPOL, V116, P13, DOI 10.1002/ajpa.1097
   Wood B.A., 1991, Koobi Fora Research Project, V4
   Wood RE, 2013, ARCHAEOMETRY, V55, P148, DOI 10.1111/j.1475-4754.2012.00671.x
NR 124
TC 31
Z9 38
U1 1
U2 91
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 JUL 5
PY 2016
VL 371
IS 1698
AR 20150236
DI 10.1098/rstb.2015.0236
PG 18
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Life Sciences & Biomedicine - Other Topics
GA DP2KC
UT WOS:000378316300007
PM 27298467
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Bozinovic, F
   Cruz-Neto, AP
   Cortés, A
   Diaz, GB
   Ojeda, RA
   Giannoni, SM
AF Bozinovic, F.
   Cruz-Neto, A. P.
   Cortes, A.
   Diaz, G. B.
   Ojeda, R. A.
   Giannoni, S. M.
TI Physiological diversity in tolerance to water deprivation among species
   of South American desert rodents
SO JOURNAL OF ARID ENVIRONMENTS
LA English
DT Article
DE body mass balance; geographic comparisons; physiological tolerances;
   water economy
ID MONTE DESERT; SMALL MAMMALS; CLIMATIC ADAPTATION; SYMPATRIC RODENTS;
   METABOLIC-RATE; ECONOMY; KIDNEY; HISTORY; TRAITS; EVOLUTION
AB Rodents from and and semi-arid deserts are faced with the problem of water conservation. The physiological responses of small rodents to such conditions have been intensively investigated over broad geographically disjunct areas. Despite the presence of xeric habitats in South America since the late Tertiary, some studies suggest that sigmodontine South-American desert rodents do not display the same diversity of physiological responses at the species level as those observed in other desert-dwelling species of rodents. In this paper, we analyzed the physiological responses to water deprivation, at the interespecific and interindividual level, among eight species of sigmodontine desert-dwelling rodents from different geographical areas within South-American deserts. Using randomization tests, we found no significant phylogenetic signal for resistance to water deprivation or for individual variability in this response. Contrary to our initial predictions, we observed that sigmodontine rodents from arid/semi-arid habitats (Monte Desert) had significantly lower rates of body mass loss per day (higher tolerances to water deprivation) than species from the hyperarid deserts. We showed that sigmodontine rodents from South America showed a remarkable diversity of physiological mechanisms for coping with water shortage resulting from different evolutionary adaptive strategies. This diversity, however, displays a rather unexpected pattern in terms of its geographical distribution. (c) 2007 Elsevier Ltd. All rights reserved.
C1 Pontificia Univ Catolica Chile, Fac Ciencias Biol, Ctr Adv Studies Ecol & Biodivers, Dept Ecol, Santiago 6513677, Chile.
   UNESP, Inst Biociencias, Dept Zool, BR-13506900 Rio Claro, SP, Brazil.
   Univ La Serena, Fac Ciencias, Ctr Estudios Avanzados Zonas Aridas, Dept Biol, La Serena, Chile.
   Inst Argentino Invest Zonas Aridas, RA-5500 Mendoza, Argentina.
C3 Pontificia Universidad Catolica de Chile; Universidade Estadual
   Paulista; Universidad de La Serena
RP Bozinovic, F (corresponding author), Pontificia Univ Catolica Chile, Fac Ciencias Biol, Ctr Adv Studies Ecol & Biodivers, Dept Ecol, Santiago 6513677, Chile.
EM fbozinovic@bio.puc.cl
RI cruz-neto, ariovaldo/Y-7225-2019; Cruz-Neto, Ariovaldo/B-2958-2013
OI Cruz-Neto, Ariovaldo/0000-0001-5270-7276; Ojeda,
   Ricardo/0000-0001-5246-0496; Giannoni, Stella/0000-0003-3552-6611
CR Abouheif E, 1999, EVOL ECOL RES, V1, P895
   Al-kahtani MA, 2004, PHYSIOL BIOCHEM ZOOL, V77, P346, DOI 10.1086/420941
   [Anonymous], 1999, Physiological Diversity and Its Ecological Implications
   Blomberg SP, 2003, EVOLUTION, V57, P717, DOI 10.1111/j.0014-3820.2003.tb00285.x
   Bozinovic F, 2006, COMP BIOCHEM PHYS C, V142, P163, DOI 10.1016/j.cbpc.2005.08.004
   BOZINOVIC F, 1989, FUNCT ECOL, V3, P173, DOI 10.2307/2389298
   BOZINOVIC F, 1988, COMP BIOCHEM PHYS A, V91, P195, DOI 10.1016/0300-9629(88)91616-7
   BOZINOVIC F, 1988, J MAMMAL, V69, P150, DOI 10.2307/1381762
   Bozinovic F, 2003, J EXP BIOL, V206, P2959, DOI 10.1242/jeb.00509
   BOZINOVIC F, 1995, ECOLOGY BIOGEOGRAPHY, V108, P347
   Campos C, 2001, AUSTRAL ECOL, V26, P142, DOI 10.1046/j.1442-9993.2001.01098.x
   Chown SL, 2004, FUNCT ECOL, V18, P159, DOI 10.1111/j.0269-8463.2004.00825.x
   Corbalán V, 2004, MAMMALIA, V68, P5, DOI 10.1515/mamm.2004.001
   Cortés A, 2000, REV CHIL HIST NAT, V73, P311
   CORTES A, 1988, COMP BIOCHEM PHYS A, V91, P711, DOI 10.1016/0300-9629(88)90954-1
   CORTES A, 1990, REV CHIL HIST NAT, V63, P279
   Cruz-Neto AP, 2001, ZOOL-ANAL COMPLEX SY, V104, P49, DOI 10.1078/0944-2006-00006
   Degen A.A., 1997, Ecophysiology of Small Desert Mammals
   DEGEN AA, 1986, J ANIM ECOL, V55, P421, DOI 10.2307/4728
   Diaz CM, 2003, INTERNET J CHEM, V6
   Diaz GB, 1999, J ARID ENVIRON, V41, P453, DOI 10.1006/jare.1998.0472
   *FAO UN, 1985, FAO PLANT PROD PROT, P24
   Gallardo PA, 2005, PHYSIOL BIOCHEM ZOOL, V78, P145, DOI 10.1086/425203
   Garland T, 1999, AM ZOOL, V39, P374
   Giannoni Stella M., 2005, Mastozool. neotrop., V12, P181
   Harvey PH., 1991, The Comparative Method in Evolutionary Biology
   Hinojosa LF, 1997, REV CHIL HIST NAT, V70, P225
   Latorre C, 1997, EARTH PLANET SC LETT, V146, P83, DOI 10.1016/S0012-821X(96)00231-2
   MacMillen R.E., 1972, Symposia Zool Soc Lond, VNo. 31, P147
   MACMILLEN RE, 1983, ECOLOGY, V64, P152, DOI 10.2307/1937337
   MARES MA, 1975, P NATL ACAD SCI USA, V72, P1702, DOI 10.1073/pnas.72.5.1702
   MARES MA, 1977, COMP BIOCHEM PHYS A, V56, P325, DOI 10.1016/0300-9629(77)90245-6
   MARQUET PA, 1994, AUST J ZOOL, V42, P527, DOI 10.1071/ZO9940527
   MARSHALL LG, 1979, PALEOBIOLOGY, V5, P126, DOI 10.1017/S0094837300006412
   McNab B.K., 2002, Physiological ecology of vertebrates: a view from energetics
   Mendes LAF, 2004, COMP BIOCHEM PHYS A, V138, P327, DOI 10.1016/j.cbpb.2004.04.010
   Montgomery DR, 2001, GEOLOGY, V29, P579, DOI 10.1130/0091-7613(2001)029<0579:CTATMO>2.0.CO;2
   MORILLO J, 1958, OPERA LILL TUCUMAN, V2, P1
   Nowak RM., 1999, Walker's Mammals of the World, DOI 10.56021/9780801857898
   OJEDA RA, 1989, J MAMMAL, V70, P416, DOI 10.2307/1381531
   Ojeda RA, 1998, J ARID ENVIRON, V39, P299, DOI 10.1006/jare.1998.0398
   REEVES J, 2003, PHYLOGENETIC INDEPEN
   REIG OA, 1984, REV BRAS GENET, V7, P333
   Rezende EL, 2004, EVOLUTION, V58, P1361
   Rheindt FE, 2004, EVOL ECOL RES, V6, P377
   Ribeiro MDS, 2004, CAN J ZOOL, V82, P1326, DOI 10.1139/Z04-104
   Schmidt-Nielsen K., 1964, DESERT ANIMALS PHYSL, DOI DOI 10.1086/PHYSZOOL.37.3.30152404
   Silva SI, 2005, REV CHIL HIST NAT, V78, P589
   *STATSOFT INC, 2001, STATISTICA QUICK REF
   STRECKER MR, 1989, TECTONICS, V8, P517, DOI 10.1029/TC008i003p00517
   Tabeni S, 2005, J ARID ENVIRON, V63, P244, DOI 10.1016/j.jaridenv.2005.03.009
   Tieleman BI, 2003, P ROY SOC B-BIOL SCI, V270, P207, DOI 10.1098/rspb.2002.2205
   WEBB SD, 1978, ANNU REV ECOL SYST, V9, P393, DOI 10.1146/annurev.es.09.110178.002141
   Withers PC, 2006, PHYSIOL BIOCHEM ZOOL, V79, P437, DOI 10.1086/501063
   Zar J., 1996, Biostatistical analysis - 3rd edition
NR 55
TC 20
Z9 23
U1 2
U2 34
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 AUG
PY 2007
VL 70
IS 3
BP 427
EP 442
DI 10.1016/j.jaridenv.2007.01.003
PG 16
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 179KR
UT WOS:000247288900004
DA 2025-01-10
ER

PT J
AU Abbas, A
   Amjath-Babu, TS
   Kächele, H
   Müller, K
AF Abbas, Azhar
   Amjath-Babu, T. S.
   Kaechele, Harald
   Mueller, Klaus
TI Participatory adaptation to climate extremes: an assessment of
   households' willingness to contribute labor for flood risk mitigation in
   Pakistan
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptation; climate; Contingent Valuation Methodology; disaster;
   efficacy; intervention
ID MANAGEMENT POLICIES; WATER MANAGEMENT; TO-PAY; INSURANCE
AB The predicted increase in frequency and severity of flooding events poses substantial challenges for the farming communities of developing countries. Given the financial limitations of governments in these countries, the concept of participatory flood management is of high relevance. This article studies how communities can participate in structural measures such as embankments/dikes. Given that surplus rural labor is available due to the seasonal nature of agricultural operations, this paper utilizes a field survey for exploring the willingness to contribute (WTC) labor by rural households in Pakistan towards a hypothetical flood-protection scheme. Results show a potential labor contribution of 11.07 man-days per year per household (equivalent to Rs. 4,084 or 39 USD). The WTC decision is positively influenced by the number of adult family members, livestock damage, compensation received and expected effectiveness of the intervention, but is negatively influenced by age and education of the household head, farm income and the distance of the farm from the river. The study concludes that community resources (e.g., manual labor) can be utilized for flood mitigation, which may reduce the costs of building and maintaining the infrastructure while increasing the sense of security and ownership. This would also ensure the sustainability of flood protection interventions to a considerable extent.
C1 [Abbas, Azhar; Amjath-Babu, T. S.; Kaechele, Harald; Mueller, Klaus] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany.
   [Abbas, Azhar] Univ Agr Faisalabad, Faisalabad 38040, Pakistan.
C3 Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF); University of Agriculture Faisalabad
RP Abbas, A (corresponding author), Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany.
EM azhar.abbas@zalf.de
RI Abbas, Dr Azhar/H-9311-2019
OI Amjath-Babu, T.S/0000-0001-9902-7104; Mueller,
   Klaus/0000-0002-4249-047X; Abbas, Dr. Azhar/0000-0003-2045-2971
FU Higher Education Commission of Pakistan (HEC) through German Academic
   Exchange Service (DAAD); Stiftung Fiat Panis
FX The authors would like to thank the financial assistance provided by
   Higher Education Commission of Pakistan (HEC) through German Academic
   Exchange Service (DAAD) for the first author. The financial support for
   the survey provided by Stiftung Fiat Panis is also highly encouraged.
CR Abbas A, 2015, NAT HAZARDS, V75, P2119, DOI 10.1007/s11069-014-1415-x
   Ahmed Z, 2013, INT J DISAST RISK RE, V4, P15, DOI 10.1016/j.ijdrr.2013.03.003
   Akter S, 2009, MITIG ADAPT STRAT GL, V14, P215, DOI 10.1007/s11027-008-9161-6
   Ali K., 2003, LAHORE J EC, V8, P99, DOI DOI 10.35536/LJE.2003.V8.I2.A6
   [Anonymous], 2012, MAN RISKS EXTR EV DI
   [Anonymous], 2004, Reducing Disaster Risk: A Challenge for Development, P146
   [Anonymous], 2002, HYDROL SCI J
   Arshad M, 2016, CLIM DEV, V8, P234, DOI 10.1080/17565529.2015.1034232
   Botzen WJW, 2013, MITIG ADAPT STRAT GL, V18, P229, DOI 10.1007/s11027-012-9359-5
   Botzen WJW, 2012, J ECON BEHAV ORGAN, V82, P151, DOI 10.1016/j.jebo.2012.01.005
   Brouwer R, 2009, ENVIRON DEV ECON, V14, P397, DOI 10.1017/S1355770X08004828
   Chandrasekhar S, 2005, WILLINGNESS CONTRIBU
   Cooper JC., 1999, REFERENDUM CVM PROGR
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Dekens J., 2007, LOCAL KNOWLEDGE DISA, P84
   Echessah PN, 1997, WORLD DEV, V25, P239, DOI 10.1016/S0305-750X(96)00095-2
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   FFC, 2009, ANN FLOOD REP 2008
   Fuks M, 2008, J URBAN PLAN D-ASCE, V134, P42, DOI 10.1061/(ASCE)0733-9488(2008)134:1(42)
   GoP, 2013, LAB FORC SURV 2012 1
   GoP, 2008, PUNJ DEV STAT, P379
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   HANEMANN M, 1991, AM J AGR ECON, V73, P1255, DOI 10.2307/1242453
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Hussain I., 2004, POVERTY IRRIGATED AG, P166
   ICIMOD, 2007, DIS PREP NAT HAS CUR, P67
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Kale VS, 2014, SINGAPORE J TROP GEO, V35, P161, DOI 10.1111/sjtg.12060
   Kazi A, 2014, NAT HAZARDS, V70, P839, DOI 10.1007/s11069-013-0850-4
   Kellens W, 2011, RISK ANAL, V31, P1055, DOI 10.1111/j.1539-6924.2010.01571.x
   Kitamura Ryuichi., 2009, EXPANDING SPHERE TRA
   Kreibich H, 2011, NAT HAZARD EARTH SYS, V11, P309, DOI 10.5194/nhess-11-309-2011
   LASKA SB, 1986, J AM PLANN ASSOC, V52, P452, DOI 10.1080/01944368608977119
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   Mirza MMQ, 2011, REG ENVIRON CHANGE, V11, pS95, DOI 10.1007/s10113-010-0184-7
   Mishra S, 2010, J ENVIRON PSYCHOL, V30, P187, DOI 10.1016/j.jenvp.2009.11.005
   Nguyen H., 2011, FORMS COMMUNITY PART, P119
   Pal SK, 2011, INT J WATER RESOUR D, V27, P401, DOI 10.1080/07900627.2011.564973
   PARK T, 1991, LAND ECON, V67, P64, DOI 10.2307/3146486
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   PMU, 2013, ANN REP 2012 2013
   PMU, 2005, PMU ANN REP 2004 200
   Poustie MS, 2014, J WATER CLIM CHANGE, V5, P244, DOI 10.2166/wcc.2013.242
   Rasul G., 2011, Pakistan Journal of Meteorology, V8, P1
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Seifert I, 2013, NAT HAZARD EARTH SYS, V13, P1691, DOI 10.5194/nhess-13-1691-2013
   Shaw R., 2006, J SCI CULT, V72, P1
   SWALLOW BM, 1994, ECOL ECON, V11, P153, DOI 10.1016/0921-8009(94)90025-6
   Tariq MAUR, 2012, PHYS CHEM EARTH, V47-48, P11, DOI 10.1016/j.pce.2011.08.014
   Terpstra A, 1998, R46 IIMI, P87
   THUNBERG E, 1991, WATER RESOUR BULL, V27, P657
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Zhai GF, 2008, RISK ANAL, V28, P513, DOI 10.1111/j.1539-6924.2008.01031.x
   Zhai GF, 2006, J AM WATER RESOUR AS, V42, P927, DOI 10.1111/j.1752-1688.2006.tb04505.x
   Zhou Y, 2014, INT C MANAGE SCI ENG, P515, DOI 10.1109/ICMSE.2014.6930274
NR 55
TC 22
Z9 23
U1 1
U2 35
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2040-2244
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD SEP
PY 2016
VL 7
IS 3
BP 621
EP 636
DI 10.2166/wcc.2016.002
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA DW9OA
UT WOS:000383989000011
OA Bronze
DA 2025-01-10
ER

PT J
AU Ma, YC
   Ning, X
   Jiang, Y
AF Ma, Yongchi
   Ning, Xue
   Jiang, Yong
TI China's Sponge City Development: Global Position, Governance, and
   Potential Enhancement with Ecosystem Services
SO JOURNAL OF URBAN TECHNOLOGY
LA English
DT Article
DE flooding; sponge city; water resilience; climate adaptation; spatial
   planning; low impact development; ecosystem service (ES)
ID BLUE-GREEN INFRASTRUCTURE; URBAN WATER MANAGEMENT; TRADE-OFFS;
   CHALLENGES; STRATEGY; URBANIZATION; CITIES; OPPORTUNITIES; ALTERNATIVES;
   RESTORATION
AB China has been implementing a policy initiative termed sponge city development (SCD) since 2014 to address complex, interlinked water challenges, particularly flooding and runoff pollution, faced by urban development under climate change. Pilot implementation of the initiative in 30 selected cities provides an opportunity for learning and enhancement relevant to global practice in general and SCD expansion in particular. This article reviews China's SCD, synthesizing: (1) SCD position in global practices for urban stormwater management; (2) governance and implementation; (3) challenges and issues in planning and management; and 4) potential enhancement with ecosystem service (ES). The article shares that: (1) China's SCD differs from, while sharing some similarity with, global practices for urban stormwater management, particularly marked by engineering dominated implementation; (2) the policy implementation exhibits sophisticated governance in supporting the initiative; (3) there are challenges and issues concerning particularly planning and management, characterized by a lack of a systematic approach linking physical projects, ecosystem functions, societal impact, and urban development goals; and (4) an ES-based framework can deliver a systematic approach enhancing SCD beyond water resilience toward urban green transition and sustainability. This article contributes to learning about ecosystem-based integrated stormwater management during urbanization and climate change.
C1 [Ma, Yongchi; Ning, Xue] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.
   [Jiang, Yong] IHE Delft Inst Water Educ, NL-2611 AX Delft, South Holland, Netherlands.
C3 Shandong University; IHE Delft Institute for Water Education
RP Jiang, Y (corresponding author), IHE Delft Inst Water Educ, NL-2611 AX Delft, South Holland, Netherlands.
EM yongjiang1013@gmail.com
RI Ma, Yongchi/GRR-5230-2022; jiang, yong/M-4318-2013
OI jiang, yong/0000-0001-6192-8206
FU Humanities and Social Science Fund of the Ministry of Education of China
   [21YJA630070]; Natural Science Foundation of Shandong Province of China
   [ZR2022MG006]; Social Risk Governance Research of Huangdao Second
   Jiaozhou Bay Tunnel Construction [SK210471]
FX This work was supported by the Humanities and Social Science Fund of the
   Ministry of Education of China (Grant No. 21YJA630070), the Natural
   Science Foundation of Shandong Province of China (Grant No.
   ZR2022MG006), and the Social Risk Governance Research of Huangdao Second
   Jiaozhou Bay Tunnel Construction (SK210471). All opinions are the
   responsibility of the authors alone.
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Almaaitah T, 2021, BLUE-GREEN SYST, V3, P223, DOI 10.2166/bgs.2021.016
   [Anonymous], 2005, MILLENNIUM ECOSYSTEM
   [Anonymous], 2013, Landscape ecology for sustainable environment and culture
   Ariyarathna IS, 2023, ARCHITECTURE-BASEL, V3, P461, DOI 10.3390/architecture3030025
   Basnou C, 2020, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.572556
   BenDor TK, 2018, ENVIRON SCI POLICY, V88, P92, DOI 10.1016/j.envsci.2018.06.006
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Bromwich B, 2022, WATER INT, V47, P1037, DOI 10.1080/02508060.2022.2133074
   Burkhard B., 2014, LANDSCAPE ONLINE, V34, P1, DOI DOI 10.3097/LO.201434
   Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019
   Cai Y., 2020, SUSTAINABLE CITIES C, P546, DOI 10.1007/978-3-319-95717-3_84
   Chen Y, 2022, LANDSCAPE URBAN PLAN, V217, DOI 10.1016/j.landurbplan.2021.104266
   Cheng SY, 2021, FRONT BIOENG BIOTECH, V9, DOI 10.3389/fbioe.2021.765987
   Cortinovis C, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100946
   Costanza R, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101096
   Costanza R, 2017, ECOSYST SERV, V28, P1, DOI 10.1016/j.ecoser.2017.09.008
   Dahir AbdiLatif., 1997, NATURES SERVICES SOC, P365
   Dai L., 2020, Urban Resilience to Droughts and Floods, P106
   Daily GC, 2009, FRONT ECOL ENVIRON, V7, P21, DOI 10.1890/080025
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   Dunlop T, 2024, COMMUN EARTH ENVIRON, V5, DOI 10.1038/s43247-024-01308-8
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Flores CC, 2023, J WATER CLIM CHANGE, V14, P1638, DOI 10.2166/wcc.2023.493
   Flores CC, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103331
   Garau E, 2021, APPL GEOGR, V133, DOI 10.1016/j.apgeog.2021.102491
   Gaston K. J., 2013, J APPL ECOL, P1
   Geng X., 2017, URBAN STUD, V24, P125
   GRIFFITHS J, 2020, PHILOS T R SOC A, P1
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hamel P, 2022, ENVIRON MANAGE, V69, P699, DOI 10.1007/s00267-021-01467-w
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005
   Hu M, 2017, J ENVIRON MANAGE, V193, P430, DOI 10.1016/j.jenvman.2017.02.020
   Hutchins MG, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd9f4
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Jiang Y, 2015, ENVIRON SCI POLICY, V54, P106, DOI 10.1016/j.envsci.2015.06.006
   Jiang Y, 2009, J ENVIRON MANAGE, V90, P3185, DOI 10.1016/j.jenvman.2009.04.016
   Kato S, 2008, J ENVIRON PLANN MAN, V51, P543, DOI 10.1080/09640560802117028
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Leitao AB, 2002, LANDSCAPE URBAN PLAN, V59, P65, DOI 10.1016/S0169-2046(02)00005-1
   Li DH, 2022, LANDSCAPE URBAN PLAN, V227, DOI 10.1016/j.landurbplan.2022.104544
   Li H, 2017, WATER-SUI, V9, DOI 10.3390/w9090594
   Li T, 2019, ECOL INDIC, V99, P332, DOI 10.1016/j.ecolind.2018.12.041
   Lieberherr E, 2019, WATER-SUI, V11, DOI 10.3390/w11020326
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Long HL, 2014, HABITAT INT, V44, P536, DOI 10.1016/j.habitatint.2014.10.011
   Lukat E, 2023, ENVIRON SCI POLICY, V141, P50, DOI 10.1016/j.envsci.2022.12.016
   Ma Y., 2021, J HEBEI U SCI TECHNO, V21, P26
   McDonough K, 2017, ECOSYST SERV, V25, P82, DOI 10.1016/j.ecoser.2017.03.022
   McGrane SJ, 2016, HYDROLOG SCI J, V61, P2295, DOI 10.1080/02626667.2015.1128084
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   MHURD (Ministry of Housing and Urban Rural Development), 2020, STANDARD SUBJECT PLA
   MHURD (Ministry of Housing and Urban Rural Development), 2018, ANNOUNCEMENT MHURD R
   MHURD (Ministry of Housing and Urban Rural Development), 2020, STANDARD SPONGE CITY
   MHURD (Ministry of Housing and Urban Rural Development), 2014, ANNOUNCEMENT PUBLISH
   MHURD (Ministry of Housing and Urban Rural Development), 2015, NOTICE MHURD ADBC PR
   MHURD (Ministry of Housing and Urban Rural Development), 2015, MEASURES PERFORMANCE
   MHURD (Ministry of Housing and Urban Rural Development), 2016, NOTICE MHURD ISSUING
   MHURD (Ministry of Housing and Urban Rural Development), 2018, NOTICE MHURD ISSUING
   MHURD (Ministry of Housing and Urban Rural Development), 2015, NOTICE MHURD AGR DEV
   MHURD (Ministry of Housing and Urban Rural Development), 2016, NATL ARCHITECTURAL S
   MHURD (Ministry of Housing and Urban Rural Development), 2015, NOTICE MHURD ESTABLI
   MHURD (Ministry of Housing and Urban Rural Development), 2020, NOTICE GEN OFFICE MH
   MHURD (Ministry of Housing and Urban Rural Development), 2020, STANDARD CONSTRUCTIO
   MHURD (Ministry of Housing and Urban Rural Development), 2022, NOTICE GEN OFFICE MH
   Mitchell MGE, 2013, ECOSYSTEMS, V16, P894, DOI 10.1007/s10021-013-9647-2
   MoF (Ministry of Finance), 2016, NOTICE IMPLEMENTING
   MoF (Ministry of Finance), 2021, NOTICE SYSTEMATICALL
   MoF (Ministry of Finance), 2014, NOTICE MOF MHURD MWR
   MoF (Ministry of Finance), 2023, NOTICE 3 BATCH PROMO
   MoF (Ministry of Finance), 2022, NOTICE 2 BATCH PROMO
   MoF (Ministry of Finance), 2015, NOTICE ORG APPL PILO
   Ndong GO, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101120
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   [聂超 Nie Chao], 2020, [中国给水排水, China Water & Wastewater], V36, P6
   Özerol G, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102066
   Pickard BR, 2017, LANDSCAPE ECOL, V32, P617, DOI 10.1007/s10980-016-0465-8
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pochodyla E., 2021, LANDSCAPE ONLINE, V92, P1, DOI [10.3097/LO.202192, DOI 10.3097/LO.202192]
   Pulighe G, 2016, ECOSYST SERV, V22, P1, DOI 10.1016/j.ecoser.2016.09.004
   Ramaswami A, 2016, SCIENCE, V352, P940, DOI 10.1126/science.aaf7160
   Raudsepp-Hearne C, 2010, Proc Natl Acad Sci U S A, V107, P5242, DOI 10.1073/pnas.0907284107
   Rieb JT, 2020, LANDSCAPE ECOL, V35, P2863, DOI 10.1007/s10980-020-01117-2
   Saidi N, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae5e0
   SC (The General Office of the State Council), 2015, GUIDING OPINIONS PRO
   Shoemaker DA, 2019, COMPUT ENVIRON URBAN, V74, P114, DOI 10.1016/j.compenvurbsys.2018.10.003
   Standish RJ, 2013, LANDSCAPE ECOL, V28, P1213, DOI 10.1007/s10980-012-9752-1
   Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003
   Turner RK, 2008, ENVIRON RESOUR ECON, V39, P25, DOI 10.1007/s10640-007-9176-6
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   UN (The United Nations High Level Panel on Water), 2016, EFFECTIVE MODELS RES
   Vallecillo S, 2018, LANDSCAPE URBAN PLAN, V174, P41, DOI 10.1016/j.landurbplan.2018.03.001
   Wang H, 2018, SCI CHINA TECHNOL SC, V61, P317, DOI 10.1007/s11431-017-9170-5
   Wang SS, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100829
   Wilkerson ML, 2018, ECOSYST SERV, V31, P102, DOI 10.1016/j.ecoser.2018.02.017
   WWAP (United Nations World Water Assessment Programme)/UN-Water, 2018, Nations World Water Development Report 2018: Nature-Based Solutions for Water
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xu Y., 2023, MAKING GREEN CITIES, P227, DOI DOI 10.1007/978-3-030-73089-5_15
   Yamaguchi R, 2020, RESOUR ENERGY ECON, V62, DOI 10.1016/j.reseneeco.2020.101186
   Yin DK, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124963
   Yu C. Y., 2022, J PUBLIC MANAGEMENT, V19, P95
   Zevenbergen C, 2018, WATER-SUI, V10, DOI 10.3390/w10091230
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
   Zhang SN, 2019, CITIES, V92, P59, DOI 10.1016/j.cities.2019.03.016
   Zhang XM, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210707
   Zhou WY, 2024, CRIT REV FOOD SCI, V64, P11757, DOI 10.1080/10408398.2023.2244079
NR 107
TC 0
Z9 0
U1 17
U2 17
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1063-0732
EI 1466-1853
J9 J URBAN TECHNOL
JI J. Urban Technol.
PD MAY 26
PY 2024
VL 31
IS 3
BP 83
EP 106
DI 10.1080/10630732.2024.2381181
EA AUG 2024
PG 24
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA K2L1I
UT WOS:001293925700001
DA 2025-01-10
ER

PT J
AU Huang, CC
   Wang, CL
AF Huang, Cheng-Chia
   Wang, Chen-Ling
TI Enhancing urban flood resilience: interdisciplinary integration of
   climate adaptation, flood control, and land-use planning from 3PA to 4PA
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE 4PA; design for failure; flood control; land-use planning; sustainable
   development
ID MANAGEMENT
AB Flood risk profoundly impacts the world, threatening human life and property safety. Flood control infrastructure is pivotal in mitigating flooding impacts by reducing flood-prone area frequency, extent, and depth of inundation. However, climate change poses uncertainties that challenge the effectiveness of the existing flood prevention measures. In the current situation, effective urban flood management should involve multiple governing authorities, including water resource management and land-use planning units. Integrating local governments and regulatory bodies is crucial but is often overlooked in regulatory frameworks. This article discusses land restrictions and management strategies and presents suitable suggestions for water resource regulations. Then, this study proposes an extension concept from the Three Points Approach, which identifies technical optimization, spatial planning, and day-to-day value for water management, to the 4PA strategy considering the design for failure concept. This study not only responds well to the future flooding situation under the climate change threats but also presents an adaptation toolkit for urban planning reference. To build resilient cities capable of withstanding climate-induced disasters while sustaining growth, the concept of 'design for failure' should be integrated into the urban planning core. This approach aims for sustainable development, emphasizing harmoniously integrating engineering solutions with land-use planning across administrative levels.
C1 [Huang, Cheng-Chia] Feng Chia Univ, Dept Water Resources Engn & Conservat, Taichung, Chinese Taipei, Taiwan.
   [Wang, Chen-Ling] Feng Chia Univ, Dept Civil Engn, Taichung, Chinese Taipei, Taiwan.
C3 Feng Chia University; Feng Chia University
RP Huang, CC (corresponding author), Feng Chia Univ, Dept Water Resources Engn & Conservat, Taichung, Chinese Taipei, Taiwan.
EM cchiahuang@fcu.edu.tw
CR Avashia V, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104571
   Cea L, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9030050
   Chen SY, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.748231
   Di Ludovico D, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103889
   Eccles R, 2019, J WATER CLIM CHANGE, V10, P687, DOI 10.2166/wcc.2019.175
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Jusup M, 2022, PHYS REP, V948, P1, DOI 10.1016/j.physrep.2021.10.005
   Lerer SM, 2017, WATER-SUI, V9, DOI 10.3390/w9110883
   Li Nan, 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1087/1/012044
   Luo PP, 2022, CASE STUD CONSTR MAT, V17, DOI 10.1016/j.cscm.2022.e01236
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Rainey JL, 2021, URBAN WATER J, V18, P375, DOI 10.1080/1573062X.2021.1893356
   Rana IA, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100893
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Sorup HJD, 2016, ENVIRON SCI POLICY, V63, P19, DOI 10.1016/j.envsci.2016.05.010
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Wang L., 2022, Heliyon, V8
   Wang Z, 2020, P NATL ACAD SCI USA, V117, P17650, DOI 10.1073/pnas.1922345117
   Xia J, 2021, SCI CHINA EARTH SCI, V64, P1, DOI 10.1007/s11430-020-9699-8
   Yang WY, 2020, ENVIRON SCI ECOTECH, V1, DOI 10.1016/j.ese.2020.100010
NR 21
TC 3
Z9 3
U1 4
U2 11
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD APR
PY 2024
VL 15
IS 4
BP 1961
EP 1968
DI 10.2166/wcc.2024.125
EA MAR 2024
PG 8
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA UB7N7
UT WOS:001193707700001
OA gold
DA 2025-01-10
ER

PT J
AU Burman, E
   Merrill, N
   Mulvaney, K
   Bradley, M
   Wigand, C
AF Burman, Erin
   Merrill, Nathaniel
   Mulvaney, Kate
   Bradley, Michael
   Wigand, Cathleen
TI This land is your land, this could be marsh land: Property parcel
   characteristics of marsh migration corridors in Rhode Island, USA
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Coastal squeeze; Sea level rise; Marsh migration; Coastal resilience;
   Climate adaptation; Land ownership
ID ASSESSING COASTAL SQUEEZE
AB Salt marshes, critical habitats offering many ecosystem services, are threatened by development, accelerated sea level rise (SLR) and other anthropogenic stressors that are projected to worsen. As seas rise, some salt marshes can migrate inland if there is adjacent, permeable, undeveloped land available. Facilitating marsh migration is necessary for coastal resilience efforts, but extensive coastal development can make finding suitable migration corridors challenging. This work seeks to characterize changes in land use, ownership, and economic value at the property parcel level within current versus future marsh areas for the state of Rhode Island, USA. We find that most parcels currently containing salt marsh are publicly owned, whereas most adjacent parcels projected to contain new salt marsh in 2050 are privately owned. Additionally, parcels containing new marsh in 2050 have 47% higher per-hectare assessed values than parcels containing current marsh. We describe the locations and characteristics of parcels within migration corridors with the lowest per-hectare values that may be the most cost-effective for marsh conservation practitioners to protect. This study highlights the expanding land use types and landowner sets that will be involved in marsh conservation decisions, and the economic value of potential migration corridors where costly tradeoffs may be necessary to promote coastal resilience.
C1 [Burman, Erin; Merrill, Nathaniel; Mulvaney, Kate; Wigand, Cathleen] US EPA, Ctr Environm Management & Modeling, Atlantic Coastal Environm Sci Div, 27 Tarzwell Dr, Narragansett, RI 02882 USA.
   [Bradley, Michael] Univ Rhode Isl, Environm Data Ctr, Kingston, RI 02881 USA.
C3 United States Environmental Protection Agency; University of Rhode
   Island
RP Merrill, N (corresponding author), US EPA, Ctr Environm Management & Modeling, Atlantic Coastal Environm Sci Div, 27 Tarzwell Dr, Narragansett, RI 02882 USA.
EM burman.erin@epa.gov; merrill.nathaniel@epa.gov; mulvaney.kate@epa.gov;
   michael_bradley@uri.edu; wigand.cathleen@epa.gov
OI Mulvaney, Kate/0000-0003-2581-7677; Merrill,
   Nathaniel/0000-0003-3891-2833
FU U.S. Environmental Protection Agency's Atlantic Coastal Environ-mental
   Sciences Division
FX This is ORD contribution ORD-054599. This document has been reviewed in
   accordance with the U.S. Environmental Protection Agency policy and
   approved for publication. The views expressed in this article are those
   of the authors and do not necessarily represent the views or policies of
   the U.S. Environmental Protection Agency. We would like to thank Suzy
   Ayvazian, Justin Bousquin, and Autumn Oczkowski for their reviews of
   earlier versions of this work. This research did not receive any
   specific grant from funding agencies in the public, commercial, or
   not-for-profit sectors. Nathaniel Merrill, Kate Mulvaney, and Cathleen
   Wigand were U.S. Environmental Protection Agency employees for the
   duration of their work on this research. Erin Burman was on an ORISE
   Fellowship sited at the U.S. Environmental Protection Agency's Atlantic
   Coastal Environ-mental Sciences Division for the duration of her work on
   this research. Michael Bradley was employed at the University of Rhode
   Island for the duration of this work. This research received no external
   funding.
CR Besterman AF, 2022, ESTUAR COAST, V45, P1803, DOI 10.1007/s12237-022-01045-1
   Bradley M., 2023, Adapting to Sea Level Rise in Rhode Island: Land Preservation for Salt Marsh Migration
   Brahler M., 2021, NASA Devel. Nat. Prog. Tech. Rep.
   Bromberg KD, 2005, ESTUARIES, V28, P823, DOI 10.1007/BF02696012
   Burman E, 2023, J ENVIRON MANAGE, V331, DOI 10.1016/j.jenvman.2023.117218
   CLAPP JM, 1992, J AM STAT ASSOC, V87, P300, DOI 10.2307/2290260
   Clough J., 2016, SLAMM 6.7 Technical Documentation
   CRMC (Coastal Resource Management Council), 2023, About Us
   Davis J, 2022, ECOL ENG, V177, DOI 10.1016/j.ecoleng.2022.106566
   Doody J. Pat, 2004, Journal of Coastal Conservation, V10, P129, DOI 10.1652/1400-0350(2004)010[0129:CSAHP]2.0.CO;2
   Epanchin-Niell RS, 2022, J ENVIRON MANAGE, V302, DOI 10.1016/j.jenvman.2021.113961
   Field CR, 2017, P NATL ACAD SCI USA, V114, P9134, DOI 10.1073/pnas.1620319114
   Gardner G, 2020, J ENVIRON MANAGE, V262, DOI 10.1016/j.jenvman.2020.110262
   Gerber JD, 2012, ENVIRON PLANN A, V44, P1836, DOI 10.1068/a44395
   Kutcher T.E., 2022, A framework for prioritizing salt marsh restoration and conservation activities in Rhode Island
   Kutcher TE, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108841
   Lerner J.A., 2013, Blackwater 2100: A Strategy for Salt Marsh Persistence in an Era of Climate Change
   LightBox Holdings L.P, 2022, SmartParcels data product
   Luo SX, 2018, OCEAN COAST MANAGE, V153, P193, DOI 10.1016/j.ocecoaman.2017.12.018
   Messaros R. C., 2010, Innovations in Watershed Management under Land Use and Climate Change. Proceedings of the 2010 Watershed Management Conference, Madison, Wisconsin, USA, 23-27 August 2010, P343
   Molino GD, 2022, LIMNOL OCEANOGR LETT, V7, P321, DOI 10.1002/lol2.10262
   Mulvaney K, 2022, WETL ECOL MANAG, V30, P1291, DOI 10.1007/s11273-022-09891-3
   NASA (U.S. National Aeronautics and Space Administration), 2021, Saving tidal wetlands. NASA DEVELOP program
   NOAA (U.S. National Oceanic and Atmospheric Administration), 2021, Sea level affecting marshes model
   NRCS (United States Department of Agriculture National Resources Conservation Service), 2023, Wetland Reserve easements - Rhode Island
   Papiez C., 2012, Coastal Land Conservation in Maryland: Targeting Tools and Techniques for Sea Level Rise Adaptation and Response
   Perry DC, 2022, RESTOR ECOL, V30, DOI 10.1111/rec.13466
   Perry DC, 2020, J ENVIRON MANAGE, V270, DOI 10.1016/j.jenvman.2020.110928
   Pontee N, 2013, OCEAN COAST MANAGE, V84, P204, DOI 10.1016/j.ocecoaman.2013.07.010
   Raposa KB, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.939870
   Raposa KB, 2017, REG ENVIRON CHANGE, V17, P389, DOI 10.1007/s10113-016-1020-5
   Raposa KB, 2017, ESTUAR COAST, V40, P640, DOI 10.1007/s12237-015-0018-4
   RIDA (Rhode Island Department of Administration), 2006, Vision 2025 Rhode Island land use policies and plan
   RIGIS (Rhode Island GIS), 2011, Rhode Island Dept. Of Environmental Management
   RIGIS (Rhode Island GIS), 2017, Salt marsh habitats. Rhode island geographic information system (RIGIS) data distribution system
   Roman CT, 2017, ESTUAR COAST, V40, P711, DOI 10.1007/s12237-016-0149-2
   Roman CT, 2000, ESTUARIES, V23, P743, DOI 10.2307/1352997
   Sallenger AH, 2012, NAT CLIM CHANGE, V2, P884, DOI [10.1038/nclimate1597, 10.1038/NCLIMATE1597]
   Smart LS, 2021, GLOBAL ENVIRON CHANG, V66, DOI 10.1016/j.gloenvcha.2020.102209
   Spidalieri K, 2020, WETLANDS, V40, P1765, DOI 10.1007/s13157-020-01280-x
   Sweet W. V., 2017, NOSCOOPS083 NOAA
   Torio DD, 2013, J COASTAL RES, V29, P1049, DOI 10.2112/JCOASTRES-D-12-00162.1
   U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, USGS
   URI EDC (University of Rhode Island Environmental Data Center), 2023, Adapting to Sea Level rise in Rhode Island: land preservation for salt marsh migration
   Watson EB, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.987246
   Watson EB, 2017, ESTUAR COAST, V40, P662, DOI 10.1007/s12237-016-0069-1
   WorldPop, 2018, Worldpop Project WWW Document
NR 47
TC 0
Z9 0
U1 0
U2 2
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD FEB
PY 2024
VL 351
AR 119657
DI 10.1016/j.jenvman.2023.119657
EA DEC 2023
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EJ4L9
UT WOS:001138544500001
PM 38086115
DA 2025-01-10
ER

PT J
AU de Guzman, EB
   Wohldmann, EL
   Eisenman, DP
AF de Guzman, Edith B.
   Wohldmann, Erica L.
   Eisenman, David P.
TI Cooler and Healthier: Increasing Tree Stewardship and Reducing
   Heat-Health Risk Using Community-Based Urban Forestry
SO SUSTAINABILITY
LA English
DT Article
DE urban forestry; tree stewardship; climate adaptation; urban cooling;
   extreme heat; urban sustainability; civic ecology; heat mitigation;
   environmental psychology
ID ESTABLISHMENT SUCCESS; RESIDENTIAL TREES; PLANTED TREES; SURVIVAL;
   ENGAGEMENT; MODEL
AB Heat exposure poses health risks that disproportionately burden disadvantaged communities. Trees protect against heat, but significant barriers exist to growing robust urban forests. In drier climates, complex logistics of watering during a multi-year establishment period pose a challenge because street trees are typically unirrigated and funding for maintenance is generally unavailable. This study tested the impacts of varying theory-guided community engagement approaches on beliefs, attitudes, knowledge, and behaviors related to foster street tree stewardship and individual-level heat mitigation actions in 116 households in Los Angeles County, USA. We tested a control intervention against experimental messaging focused on either public health or environmental health, and also segmented participants by the degree of prior household engagement with a local tree planting group. Outcomes measured were soil moisture, tree health, and survey responses indicating benefits and barriers related to tree stewardship. Results indicate that intervention messages had limited effect on these outcomes, and that level of engagement by the tree planting group was a stronger predictor of tree stewardship. We also found that tree stewardship correlated positively to heat protection measures, suggesting that environmental engagement may be an effective portal to reducing heat risk.
C1 [de Guzman, Edith B.] Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90095 USA.
   [Wohldmann, Erica L.] Calif State Univ Northridge, Dept Psychol, Northridge, CA 91330 USA.
   [Eisenman, David P.] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA 90095 USA.
   [Eisenman, David P.] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Los Angeles, CA 90095 USA.
C3 University of California System; University of California Los Angeles;
   California State University System; California State University
   Northridge; University of California System; University of California
   Los Angeles; University of California Los Angeles Medical Center; David
   Geffen School of Medicine at UCLA; University of California System;
   University of California Los Angeles
RP de Guzman, EB (corresponding author), Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90095 USA.
EM eb3@ucla.edu; erica.wohldmann@csun.edu
OI Eisenman, David/0000-0003-4320-1331; DE GUZMAN,
   EDITH/0000-0002-6715-3963
FU California Department of Forestry and Fire Protection [8GB18418]
FX This research was funded by the California Department of Forestry and
   Fire Protection through the Proposition 68 Urban Forestry Education and
   Research fund, under grant 8GB18418 titled "Cooler and Healthier:
   Reducing Heat-Health Risk Using Urban Forestry & Stakeholder
   Engagement."
CR [Anonymous], 2022, How Heat Harms Health in Your Community
   arcgis, LOS ANG COUNT TREE C
   Bandura A, 2004, HEALTH EDUC BEHAV, V31, P143, DOI 10.1177/1090198104263660
   Bandura A., 1995, Self-Efficacy in Changing Societies, P313
   Bandura A., 2011, SOCIAL PSYCHOL EVALU, P33
   Bandura A, 2009, COMMUN SER, P94
   Bekesi D., 2019, Proceedings of the the 6th Fabos Conference on Landscape and Greenway Planning, Amherst, MA, USA, March 29-30, 2019, P42
   Benz SA, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002016
   Boyce S., 2010, Cities and the Environment, V3, P1, DOI DOI 10.15365/CATE.3132010
   Breger BS, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.126382
   Carmichael CE, 2019, SOC NATUR RESOUR, V32, P588, DOI 10.1080/08941920.2018.1550229
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   City of Los Angeles Bureau of Street Services, 2015, STAT STREET TREES RE
   City Plants (N.D), COMM WAT AGR
   Coutts AM, 2016, THEOR APPL CLIMATOL, V124, P55, DOI 10.1007/s00704-015-1409-y
   de Guzman Edith, 2018, Arboriculture & Urban Forestry, V44, P291
   de Guzman EB, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.944182
   Dilley Jana, 2013, Arboriculture & Urban Forestry, V39, P267
   Djongyang N, 2010, RENEW SUST ENERG REV, V14, P2626, DOI 10.1016/j.rser.2010.07.040
   Farrow K, 2017, ECOL ECON, V140, P1, DOI 10.1016/j.ecolecon.2017.04.017
   Gallagher M.W., 2012, Encyclopedia of Human Behavior, VSecond, P314, DOI DOI 10.1016/B978-0-12-375000-6.00312-8
   HUANG YJ, 1990, ASHRAE TRAN, V96, P1403
   Jack-Scott Emily, 2013, Arboriculture & Urban Forestry, V39, P189
   Jesdale BM, 2013, ENVIRON HEALTH PERSP, V121, P811, DOI 10.1289/ehp.1205919
   Kalkstein AJ, 2018, ENVIRON HEALTH-GLOB, V17, DOI 10.1186/s12940-018-0389-7
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Krasny M.E., 2015, Civic ecology: Adaptation and transformation from the ground up
   Levinsson A, 2017, URBAN FOR URBAN GREE, V28, P21, DOI 10.1016/j.ufug.2017.09.014
   Li DW, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7d04
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Los Angeles Almanac, TOT SEAS RAINF PREC
   Lu J.W. T., 2010, CITIES ENV, V3, P15, DOI DOI 10.15365/CATE.3152010
   McCambridge J, 2014, J CLIN EPIDEMIOL, V67, P267, DOI 10.1016/j.jclinepi.2013.08.015
   McDonald R., 2016, PLANTING HLTH AIR GL
   McKenzie-Mohr D., 2011, Social Marketing to Protect the Environment: What Works
   McKenzie-Mohr D., 2011, FOSTERING SUSTAINABL, V3rd
   McNamara KA., 2022, Environmental Challenges, V9, P100596, DOI DOI 10.1016/J.ENVC.2022.100596
   Mincey Sarah K., 2014, Arboriculture & Urban Forestry, V40, P84
   Moskell Christine, 2016, Arboriculture & Urban Forestry, V42, P301
   Moskell C, 2013, AM J COMMUN PSYCHOL, V51, P1, DOI 10.1007/s10464-012-9532-8
   Nolan J.M., 2015, OXFORD HDB PROSOCIAL, P626, DOI DOI 10.1093/OXFORDHB/9780195399813.013.011
   Nyborg K, 2016, SCIENCE, V354, P42, DOI 10.1126/science.aaf8317
   Office of Environmental Health Hazard Assessment (OEHHA), 2020, CALENVIROSCREEN 3 0
   Pincetl S, 2010, ENVIRON MANAGE, V45, P227, DOI 10.1007/s00267-009-9412-7
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   Rahman MA, 2018, SCI TOTAL ENVIRON, V633, P100, DOI 10.1016/j.scitotenv.2018.03.168
   RAPPAPORT J, 1981, AM J COMMUN PSYCHOL, V9, P1, DOI 10.1007/BF00896357
   Riedman E, 2022, URBAN FOR URBAN GREE, V73, DOI 10.1016/j.ufug.2022.127597
   Roman LA, 2015, URBAN FOR URBAN GREE, V14, P1174, DOI 10.1016/j.ufug.2015.11.001
   Roman LA, 2014, LANDSCAPE URBAN PLAN, V129, P22, DOI 10.1016/j.landurbplan.2014.05.004
   Rydin Y., 2000, LOCAL ENVIRON, V5, P153, DOI 10.1080/13549830050009328
   Schultz W., 2008, Handbook on household hazardous waste, P133
   Streiling S., 2003, Journal of Arboriculture, V29, P309
   Sun FP, 2015, J CLIMATE, V28, P4618, DOI 10.1175/JCLI-D-14-00197.1
   Taha H, 2015, INT J LOW-CARBON TEC, V10, P3, DOI 10.1093/ijlct/ctt010
   United States Census Bureau, 2022, QUICKFACTS SAN FERN
   Urban JR, 2014, LANDSC ARCHIT MAG, V104, P48
   van der Linden S, 2015, PERSPECT PSYCHOL SCI, V10, P758, DOI 10.1177/1745691615598516
   Vanos JK, 2012, J APPL METEOROL CLIM, V51, P1639, DOI 10.1175/JAMC-D-11-0245.1
   Vogt Jess, 2015, Arboriculture & Urban Forestry, V41, P293
   Vogt JM, 2015, LANDSCAPE URBAN PLAN, V136, P130, DOI 10.1016/j.landurbplan.2014.11.021
   Zhou XH, 2020, APPL ENERG, V278, DOI 10.1016/j.apenergy.2020.115620
NR 62
TC 1
Z9 1
U1 4
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2023
VL 15
IS 8
AR 6716
DI 10.3390/su15086716
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA F0PZ4
UT WOS:000979465000001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Williams, JL
AF Williams, Jason L.
TI Description of <i>Prenolepis rinpoche</i> sp. nov. from Nepal, with
   discussion of Asian <i>Prenolepis</i> species biogeography
SO ASIAN MYRMECOLOGY
LA English
DT Article
DE biodiversity; Himalayas; Lasiini; taxonomy; Tibetan Plateau; winter ant
ID HYMENOPTERA-FORMICIDAE; ANT GENUS; PHYLOGENY; REVISION
AB Prenolepis rinpoche sp. nov. is described, imaged, and compared with similar species from South and Southeast Asia. This new species description raises the total number of extant Prenolepis species to 20. Distribution maps of all Asian Prenolepis species are included. Further justification for this new species description is provided using principal component analysis (PCA) of linear morphometric data collected from 15 Prenolepis species. This species is most similar morphologically to P. darlena Williams & LaPolla 2016, P. fisheri Bharti & Wachkoo 2012, P. fustinoda Williams & LaPolla 2016, P. nepalensis Williams & LaPolla 2018, and P. shanialena Williams & LaPolla 2016. The geographical distributions of these six similar species are concentrated around montane areas of South and Southeast Asia, including The Himalayas in Nepal and northern India. Similar morphology suggests that these six species together form a high elevation clade. A re-evaluation of the literature and distribution records confirms there are presently four species known to Nepal, two of which are likely endemic: P. nepal-ensis and P. rinpoche. Most Prenolepis species, including P. rinpoche, are found at elevations above 1200 meters, suggesting an evolutionary pathway to temperate climate adaptation and winter activity in species such as P. imparis Say (1836) in the Nearctic and P. nitens Mayr (1853) in the Palearctic.
C1 [Williams, Jason L.] Univ Florida, Entomol & Nematol Dept, Gainesville, FL 32608 USA.
C3 State University System of Florida; University of Florida
RP Williams, JL (corresponding author), Univ Florida, Entomol & Nematol Dept, Gainesville, FL 32608 USA.
EM jleewill@gmail.com
RI Williams, Jason/KLC-8621-2024
OI Williams, Jason/0000-0002-9834-3348
CR AGOSTI D, 1991, SYST ENTOMOL, V16, P293, DOI 10.1111/j.1365-3113.1991.tb00690.x
   Ashmead W. H., 1905, Canadian Entomologist, P381
   Bharti H, 2012, J ENTOMOL RES SOC, V14, P119
   Blaimer BB, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0552-5
   Bolton Barry, 2003, Memoirs of the American Entomological Institute (Gainesville), V71, P1
   Chen Zhilin, 2018, Zoological Systematics, V43, P58, DOI 10.11865/zs.201806
   Eldrett JS, 2009, NATURE, V459, P969, DOI 10.1038/nature08069
   Favre A, 2016, J BIOGEOGR, V43, P1967, DOI 10.1111/jbi.12840
   Fine PVA, 2006, AM NAT, V168, P796, DOI 10.1086/508635
   Forel A., 1893, Annales de la Societe Entomologique de Belgique, V37, P161
   Forel A., 1878, Bulletin de la Societe Vaudoise des Sciences Naturelles, V15, P337
   Khachonpisitsak S, 2020, ZOOKEYS, P1, DOI 10.3897/zookeys.998.54902
   Lapolla JS, 2012, SYST ENTOMOL, V37, P200, DOI 10.1111/j.1365-3113.2011.00605.x
   LaPolla JS, 2010, P ENTOMOL SOC WASH, V112, P258, DOI 10.4289/0013-8797-112.2.258
   LaPolla JS, 2010, SYST ENTOMOL, V35, P118, DOI 10.1111/j.1365-3113.2009.00492.x
   Lorinczi G, 2016, INSECT SOC, V63, P193, DOI 10.1007/s00040-015-0437-z
   Mayr G., 1853, Verhandlungen der Zoologisch-Botanischen Vereins in Wien, V2, P143
   Mayr G, 1861, Die europaischen Formiciden. Nach der analytischen Methode bearbeitet
   Mayr GL., 1868, BEITRAGE NATURKUNDE, P11
   Päckert M, 2020, ECOL EVOL, V10, P9283, DOI 10.1002/ece3.6615
   Say T., 1836, BOSTON J NATURAL HIS, V1, P209
   Subedi IP, 2020, ZOOKEYS, P99, DOI 10.3897/zookeys.1006.58808
   Talbot M, 1943, ECOLOGY, V24, P345, DOI 10.2307/1930536
   Tonione MA, 2022, MOL ECOL, V31, P4884, DOI 10.1111/mec.16624
   TSCHINKEL WR, 1987, INSECT SOC, V34, P143, DOI 10.1007/BF02224081
   Wang WY, 2022, ASIAN MYRMECOL, V15, DOI 10.20362/am.015006
   WHEELER GC, 1970, ANN ENTOMOL SOC AM, V63, P648, DOI 10.1093/aesa/63.3.648
   WHEELER WILLIAM MORTON, 1930, ANN ENT SOC AMER, V23, P1
   Williams JL, 2018, ZOOTAXA, V4441, P171, DOI 10.11646/zootaxa.4441.1.10
   Williams JL, 2016, ZOOTAXA, V4200, P201, DOI 10.11646/zootaxa.4200.2.1
   Zachos JC, 2008, NATURE, V451, P279, DOI 10.1038/nature06588
NR 31
TC 1
Z9 1
U1 0
U2 2
PU UNIV MALAYSIA SABAH
PI KOTA KINABALU
PA JALAN UMS, 88400, KOTA KINABALU, SABAH 00000, MALAYSIA
SN 1985-1944
J9 ASIAN MYRMECOL
JI Asian Myrmecol.
PY 2022
VL 15
AR e015008
DI 10.20362/am.015008
PG 9
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 7K5LD
UT WOS:000905323200004
DA 2025-01-10
ER

PT J
AU Lüthi, S
   Aznar-Siguan, G
   Fairless, C
   Bresch, DN
AF Luthi, Samuel
   Aznar-Siguan, Gabriela
   Fairless, Christopher
   Bresch, David N.
TI Globally consistent assessment of economic impacts of wildfires in
   CLIMADA v2.2
SO GEOSCIENTIFIC MODEL DEVELOPMENT
LA English
DT Article
ID RISK; FIRE; EXPOSURE; UNCERTAINTY; ALGORITHM
AB In light of the dramatic increase in economic impacts due to wildfires over recent years, the need for globally consistent impact modelling of wildfire damages is ever increasing. Insurance companies, individual households, humanitarian organizations, governmental authorities, and investors and portfolio owners are increasingly required to account for climate-related physical risks. In response to these societal challenges, we present an extension to the open-source and open-access risk modelling platform CLIMADA (CLImate ADAptation) for modelling economic impacts of wildfires in a globally consistent and spatially explicit approach. All input data are free, public and globally available, ensuring applicability in data-scarce regions of the Global South. The model was calibrated at resolutions of 1, 4 and 10 km using information on past wildfire damage reported by the disaster database EM-DAT. Despite the large remaining uncertainties, the model yields sound damage estimates with a model performance well in line with the results of other natural catastrophe impact models, such as for tropical cyclones. To complement the global perspective of this study, we conducted two case studies on the recent megafires in Chile (2017) and Australia (2020). The model is made available online as part of a Python package, ready for application in practical contexts such as disaster risk assessment, near-real-time impact estimates or physical climate risk disclosure.
C1 [Luthi, Samuel; Fairless, Christopher; Bresch, David N.] Swiss Fed Inst Technol, Inst Environm Decis, CH-8092 Zurich, Switzerland.
   [Luthi, Samuel; Aznar-Siguan, Gabriela; Bresch, David N.] Zurich Airport, Fed Off Meteorol & Climatol MeteoSwiss, CH-8058 Zurich, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; Federal
   Office of Meteorology & Climatology (MeteoSwiss)
RP Lüthi, S (corresponding author), Swiss Fed Inst Technol, Inst Environm Decis, CH-8092 Zurich, Switzerland.; Lüthi, S (corresponding author), Zurich Airport, Fed Off Meteorol & Climatol MeteoSwiss, CH-8058 Zurich, Switzerland.
EM samuel.luethi@usys.ethz.ch
RI ; Bresch, David N./D-5298-2018
OI Luthi, Samuel/0000-0003-2884-3467; Bresch, David N./0000-0002-8431-4263
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Abram NJ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-020-00065-8
   [Anonymous], **DATA OBJECT**, DOI 10.5281/zenodo.5084352
   [Anonymous], 2021, NASA MCD14DL EARTH D, DOI [10.5067/FIRMS/MODIS/MCD14DL.NRT.006, DOI 10.5067/FIRMS/MODIS/MCD14DL.NRT.006]
   [Anonymous], 2019, 22019 SWISS RE
   [Anonymous], 1 SWISS RE
   [Anonymous], RISK FRONTIER FIREAU
   [Anonymous], **DATA OBJECT**, DOI 10.5281/zenodo.4014775
   Aznar-Siguan G, 2019, GEOSCI MODEL DEV, V12, P3085, DOI 10.5194/gmd-12-3085-2019
   Bakkensen L. A., 2018, EC DISASTERS CLIMATE, V2, P49, DOI DOI 10.1007/S41885-017-0018-X
   Bevere L., YET MORE WILDFRES
   Blanchi R., 2006, Australasian Bushfire Conference, P6
   Bresch DN, 2021, GEOSCI MODEL DEV, V14, P351, DOI 10.5194/gmd-14-351-2021
   Cao X, 2015, WORLD ATLAS NATURAL, P277, DOI 10.1007/978-3-662-45430-5_15
   de la Barrera F, 2018, SCI TOTAL ENVIRON, V637, P1526, DOI 10.1016/j.scitotenv.2018.05.119
   Diaz J.M., 2012, Economic impacts of wildfire
   Eberenz S, 2021, NAT HAZARD EARTH SYS, V21, P393, DOI 10.5194/nhess-21-393-2021
   Eberenz S, 2020, EARTH SYST SCI DATA, V12, P817, DOI 10.5194/essd-12-817-2020
   Emanuel K, 2011, WEATHER CLIM SOC, V3, P261, DOI 10.1175/WCAS-D-11-00007.1
   Filkov AI, 2020, J SAF SCI RESIL, V1, P44, DOI 10.1016/j.jnlssr.2020.06.009
   Finney M.A., 2006, Fuels Management-How to Measure Success: Conference Proceedings. Forest Service, P107
   Finney MA, 2004, RMRSRP4 FARSITE USDA
   Geiger T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084012
   Gettelman A, 2018, CLIMATIC CHANGE, V146, P575, DOI 10.1007/s10584-017-1902-7
   Giglio L, 2016, REMOTE SENS ENVIRON, V178, P31, DOI 10.1016/j.rse.2016.02.054
   GNU, 2007, GNU GEN PUBL LIC V3
   Guha-Sapir D., EM DAT DISASTER RISK
   Guha-Sapir D, 2002, 191 WORLD BANK DIS M
   Guha-Sapir D, 2018, BMJ-BRIT MED J, V362, DOI 10.1136/bmj.k4005
   Hantson S, 2020, GEOSCI MODEL DEV, V13, P3299, DOI 10.5194/gmd-13-3299-2020
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Jolly WM, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8537
   Kam PM, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd26c
   Lozano OM, 2017, RISK ANAL, V37, P1898, DOI 10.1111/risa.12739
   Luthi S., 2021, ZENODO, DOI [10.5281/zenodo.4911382, DOI 10.5281/ZENODO.4911382]
   Miller C, 2013, INT J WILDLAND FIRE, V22, P1, DOI 10.1071/WF11114
   Munich Re, BUSHF WILDF RISKS
   Papakosta P, 2017, INT J WILDLAND FIRE, V26, P10, DOI 10.1071/WF15113
   Parisien MA, 2019, INT J WILDLAND FIRE, V28, P913, DOI 10.1071/WF19069
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Refsgaard JC, 2007, ENVIRON MODELL SOFTW, V22, P1543, DOI 10.1016/j.envsoft.2007.02.004
   Riley KL, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1543
   Sanderson BM, 2020, NAT CLIM CHANGE, V10, P175, DOI 10.1038/s41558-020-0707-2
   Sarricolea P, 2020, SCI TOTAL ENVIRON, V706, DOI 10.1016/j.scitotenv.2019.135894
   Sauer IJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22153-9
   Schroeder W, 2014, REMOTE SENS ENVIRON, V143, P85, DOI 10.1016/j.rse.2013.12.008
   Shi P., 2015, MAPPING FOREST WILDF, P261, DOI [10.1007/978-3-662-45430-514, DOI 10.1007/978-3-662-45430-514, 10.1007/978-3-662-45430-5_14, DOI 10.1007/978-3-662-45430-5_14]
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Souvignet D.M., 2016, EC CLIMATE ADAPTATIO, P100
   Thompson MP, 2015, ENVIRON MODELL SOFTW, V63, P61, DOI 10.1016/j.envsoft.2014.09.018
   Thompson MP, 2011, J ENVIRON MANAGE, V92, P1895, DOI 10.1016/j.jenvman.2011.03.015
   Tymstra C., 2010, Information Report NOR-X-417
   Ward PJ, 2020, NAT HAZARD EARTH SYS, V20, P1069, DOI 10.5194/nhess-20-1069-2020
   Welker C, 2021, NAT HAZARD EARTH SYS, V21, P279, DOI 10.5194/nhess-21-279-2021
   Westcott M, 2020, J ALTERN INVEST, V23, P24, DOI 10.3905/jai.2020.1.100
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 56
TC 7
Z9 7
U1 1
U2 9
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1991-959X
EI 1991-9603
J9 GEOSCI MODEL DEV
JI Geosci. Model Dev.
PD NOV 25
PY 2021
VL 14
IS 11
BP 7175
EP 7187
DI 10.5194/gmd-14-7175-2021
PG 13
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA XD9RP
UT WOS:000723037300001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Osuna-Motta, I
   Wegertseder-Martinez, P
   Rodriguez, CM
AF Osuna-Motta, Ivan
   Wegertseder-Martinez, Paulina
   Margarita Rodriguez, Carolina
TI Case Studies Selection Method: Climate Adaptation of the Modem Movement
   in the Equatorial Warm Climate
SO ACE-ARCHITECTURE CITY AND ENVIRONMENT
LA Spanish
DT Article
DE Modern built heritage; shading devices; equatorial bioclimatic
   architecture; facade design
ID EXTERNAL SHADING DEVICES; THERMAL COMFORT; ENERGY-EFFICIENCY; BUILDING
   ENVELOPE; PERFORMANCE; DESIGN
AB The regulations that aim to reduce energy consumption in buildings are increasingly strict, and their medium-term goat is to achieve buildings with zero consumption. The necessary updating of heritage buildings faces several Limitations, since protection standards reduce possible interventions, Leading to energy efficiency and user comfort. This article presents a replicable methodology that identifies the most used deep-envelope typologies during the beginnings of the Modern Movement in Cali, Colombia. It classifies them according to their geometric characteristics, high Lighting the most representative ones. The article's objective is to analyse existing typologies, creating a classification that can be used to determine their efficiency regarding indoor environment quaky in hot equatorial climates. A wide review of data was used to define a purposive non-probabilistic sample, refined according to building use, height, year of construction, and conservation condition. These criteria allowed to identify the types of deep-envelope used in the office buildings built in Cali in the 1950s: with vertical elements, with horizontal elements, and with a combination of vertical and horizontal elements. Finally, the buildings that best represented the deep-envelope systems in Cali were selected and used as case studies to identify replicable strategies for the design of facades.
C1 [Osuna-Motta, Ivan] Pontificia Univ Javeriana Cali, Planta, Cali, Colombia.
   [Osuna-Motta, Ivan] Univ Bio Bio, Arquitectura & Urbanismo, Concepcion, Chile.
   [Wegertseder-Martinez, Paulina] Univ Bio Bio, Concepcion, Chile.
   [Margarita Rodriguez, Carolina] Univ Piloto Colombia, Programa Arquitectura, Bogota, Colombia.
C3 Pontificia Universidad Javeriana; Universidad del Bio-Bio; Universidad
   del Bio-Bio
RP Osuna-Motta, I (corresponding author), Pontificia Univ Javeriana Cali, Planta, Cali, Colombia.; Osuna-Motta, I (corresponding author), Univ Bio Bio, Arquitectura & Urbanismo, Concepcion, Chile.
EM ivan.osuna@javerianacali.edu.co
RI Osuna, Ivan/ABH-8430-2020; Rodriguez, Carolina/AAT-6949-2021
CR Ali Z. F, 2000, THESIS OPEN U
   Melendo JMA, 2008, J ASIAN ARCHIT BUILD, V7, P9, DOI 10.3130/jaabe.7.9
   Alvarenga A, 2013, THESIS
   Arifin NA, 2015, PROCD SOC BEHV, V179, P290, DOI 10.1016/j.sbspro.2015.02.432
   Botti G, 2019, J ARCHITECTURE, V24, P731, DOI 10.1080/13602365.2019.1684971
   Bustamante Parra D. M., 2014, PROFUNDIDAD ENVOLVEN
   Carl T, 2019, DEEP SKIN ARCHITECTU, DOI [10.1007/978-3- 658-26333-1, DOI 10.1007/978-3-658-26333-1]
   Sánchez NC, 2020, ACE-ARCHIT CITY ENVI, V14, DOI 10.5821/ace.14.42.8960
   Concejo Municipal de Santiago de Cali, 2007, BOLENTIN OFICIAL, V244, P1
   CVC DAGMA & CIAT., 2016, EST MICR CLIM MUN SA, P44
   Farnsworth V, 2016, BRIT J EDUC STUD, V64, P139, DOI 10.1080/00071005.2015.1133799
   Freewan AAY, 2014, SOL ENERGY, V102, P14, DOI 10.1016/j.solener.2014.01.009
   Galindo-Díaz J, 2020, REV ARQUIT, V22, P94, DOI [10.14718/RevArq.2020.2776, 10.14718/revarq.2020.2776]
   Ghosh A, 2018, SOL ENERGY, V169, P94, DOI 10.1016/j.solener.2018.04.025
   Henao E., 2011, THESIS
   Izcara Palacios S. P., 2007, INTRO MUESTREO
   Keitsch M, 2012, SUSTAIN DEV, V20, P180, DOI 10.1002/sd.1534
   Kirimtat A, 2016, RENEW SUST ENERG REV, V53, P23, DOI 10.1016/j.rser.2015.08.020
   L'Heureux E., 2016, DEEP ENVELOPE THICK
   Lau Allen Khin Kiet, 2016, International Journal of Sustainable Built Environment, V5, P387, DOI 10.1016/j.ijsbe.2016.04.004
   Lidelöw S, 2019, SUSTAIN CITIES SOC, V45, P231, DOI 10.1016/j.scs.2018.09.029
   Llanos I., 2008, CASA WILLIAM VILLA U, P54
   Lovel J., 2013, Building envelopes: An integrated approach
   Martínez-Molina A, 2016, RENEW SUST ENERG REV, V61, P70, DOI 10.1016/j.rser.2016.03.018
   Ministerio de Ambiente V. y D. territorial. B., 2010, REGLAMENTO COLOMBIAN
   Mirrahimi S, 2016, RENEW SUST ENERG REV, V53, P1508, DOI 10.1016/j.rser.2015.09.055
   Montano Bello A., 2012, DEARQ, P88, DOI [10.18389/dearq10.2012.10, DOI 10.18389/DEARQ10.2012.10]
   Olgyay Victor., 1968, Clima y arquitectura en Colombia
   Osuna-Motta I., 2017, ENSENANZA APRENDIZAJ, P27
   Patsavos N., 2014, SURFACE DIGITAL MAT, V6
   Perdomo L. G, 2013, REV CIENCIAS HUMANAS, V10, DOI [10.21500/01235826.1738, DOI 10.21500/01235826.1738]
   Requena Ruiz I, 2011, THESIS U ALICANTE
   Requena-Ruiz I, 2018, URBAN MICROCLIMATE AS ARTIFACT: TOWARDS AN ARCHITECTURAL THEORY OF THERMAL DIVERSITY, P134
   Requena-Ruiz I, 2016, FRONT ARCHIT RES, V5, P157, DOI 10.1016/j.foar.2016.02.001
   Rovira T., 2007, ARQUITECTURA MODERNA
   Sadineni SB, 2011, RENEW SUST ENERG REV, V15, P3617, DOI 10.1016/j.rser.2011.07.014
   Sanchez-Montanes B., 2020, CITY ENV, V15, P9192, DOI [10.5821/ace.15.43.9192, DOI 10.5821/ACE.15.43.9192]
   Siret D., 2011, ILLUSION BRISE SOLEI
   Sugár V, 2020, J BUILD ENG, V27, DOI 10.1016/j.jobe.2019.100982
   Tascon R., 2000, ARQUITECTURA MODERNA
   Triana M.A., 2020, BUILDING HOT HUMID R, DOI [10.1007/978-981-13-7519-4_3, DOI 10.1007/978-981-13-7519-4_3]
   U.S. Department of Energy, 2012, 2011 BUILD EN DAT BO, P1
   Yin R.K., 2014, Applications of case study research, V2nd
NR 43
TC 0
Z9 0
U1 0
U2 8
PU UNIV POLITECNICA CATALUNYA
PI BARCELONA
PA AVDA DIAGONAL 649, BARCELONA, 08028, SPAIN
SN 1886-4805
J9 ACE-ARCHIT CITY ENVI
JI ACE-Archit. City Environ.
PD OCT
PY 2021
VL 16
IS 47
AR 10452
DI 10.5821/ace.16.47.10452
PG 20
WC Architecture; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Architecture; Urban Studies
GA XO7LT
UT WOS:000730363100020
OA gold
DA 2025-01-10
ER

PT J
AU Wood, D
   Vailati, C
   Menges, A
   Rüggeberg, M
AF Wood, D.
   Vailati, C.
   Menges, A.
   Rueggeberg, M.
TI Hygroscopically actuated wood elements for weather responsive and
   self-forming building parts - Facilitating upscaling and complex shape
   changes
SO CONSTRUCTION AND BUILDING MATERIALS
LA English
DT Article
DE Wood; Bilayer; Upscaling; Surface curvature; Shell; Climate adaptive
   architecture; Complex shaped building components
ID ARCHITECTURE
AB For the performance of wood as a building material, its dimensional changes in response to alterations of relative humidity are commonly perceived as an adverse effect. Recently, this material inherent property has been proposed to be utilized in a smart way. Employing the bilayer principle, controlled and reversible shape changes in response to changes of relative humidity were demonstrated. Wood naturally inherits a unique combination of material properties specifically suitable for large-scale shape changing parts. While being environmentally responsive, it offers high mechanical stiffness throughout shape-change, ease of machining and working, and sustainable availability in large sizes and quantities. In this study, we demonstrate design principles for achieving a range of shape changing patterns such as uni- and bi-directional surface curvature of wood and wood-hybrid bilayers with both negative (hyper-boloid curvature) and positive Gaussian curvature (spherical curvature). In parallel, we have developed suitable joints to join multiple elements to facilitate upscaling in length and width while maintaining shape-change. The ability to design and control the type and magnitude of curvature for specific sizes, shapes, and aspect ratios open the opportunity for a new class of large-scale weather responsive elements and self-forming building components. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Wood, D.; Menges, A.] Univ Stuttgart, Inst Computat Design & Construct, Keplerstr 11, D-70174 Stuttgart, Germany.
   [Vailati, C.; Rueggeberg, M.] Swiss Fed Inst Technol, Swiss Fed Inst Technol Zurich, Inst Bldg Mat, CH-8093 Zurich, Switzerland.
   [Vailati, C.; Rueggeberg, M.] Swiss Fed Labs Mat Sci & Technol EMPA, Lab Appl Wood Mat, CH-8600 Dubendorf, Switzerland.
C3 University of Stuttgart; Swiss Federal Institutes of Technology Domain;
   ETH Zurich; Swiss Federal Institutes of Technology Domain; Swiss Federal
   Laboratories for Materials Science & Technology (EMPA)
RP Rüggeberg, M (corresponding author), Swiss Fed Inst Technol, Swiss Fed Inst Technol Zurich, Inst Bldg Mat, CH-8093 Zurich, Switzerland.; Rüggeberg, M (corresponding author), Swiss Fed Labs Mat Sci & Technol EMPA, Lab Appl Wood Mat, CH-8600 Dubendorf, Switzerland.
EM mrueggeberg@ethz.ch
OI Ruggeberg, Markus/0000-0002-6966-8311; Wood, Dylan/0000-0003-0922-5399
FU Swiss National Foundation [163191]; GETTYLAB
FX This study was supported by the Swiss National Foundation (Project No.
   163191) and by the GETTYLAB.
CR [Anonymous], 2014, Shell structures for architecture: form finding and optimization
   Armon S, 2011, SCIENCE, V333, P1726, DOI 10.1126/science.1203874
   Burgert I, 2009, PHILOS T R SOC A, V367, P1541, DOI 10.1098/rsta.2009.0003
   Correa D, 2015, 3D PRINT ADDIT MANUF, V2, P106, DOI 10.1089/3dp.2015.0022
   Correa D, 2013, ACADIA 2013: ADAPTIVE ARCHITECTURE, P33
   Dawson J, 1997, NATURE, V390, P668, DOI 10.1038/37745
   Deplazes Andrea., 2005, Constructing Architecture
   Elbaum R, 2007, SCIENCE, V316, P884, DOI 10.1126/science.1140097
   Holstov A, 2015, CONSTR BUILD MATER, V98, P570, DOI 10.1016/j.conbuildmat.2015.08.136
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Menges A, 2012, ARCHIT DESIGN, V82, P52, DOI 10.1002/ad.1379
   Ozyhar T, 2013, HOLZFORSCHUNG, V67, P395, DOI 10.1515/hf-2012-0089
   Reichert S, 2015, COMPUT AIDED DESIGN, V60, P50, DOI 10.1016/j.cad.2014.02.010
   Rijsdijk Rijsdijk Jan F. Jan F., 1994, Physical and related properties of 145 timbers: information for practice
   Rüggeberg M, 2015, PLOS ONE, V10, DOI [10.1371/journal.pone.0120718, 10.1371/journal.pone.0119248]
   Skaar C., 1988, Wood-Water Relation
   Sonderegger W, 2013, EUR J WOOD WOOD PROD, V71, P91, DOI 10.1007/s00107-012-0641-8
   Steiger R, 2009, WOOD SCI TECHNOL, V43, P259, DOI 10.1007/s00226-008-0221-6
   Timoshenko S, 1925, J OPT SOC AM REV SCI, V11, P233, DOI 10.1364/JOSA.11.000233
   Wood D. M., 2014, AUGMENTED GRAIN
   Wood DM, 2016, INT J ARCHIT COMPUT, V14, P49, DOI 10.1177/1478077115625522
NR 21
TC 48
Z9 51
U1 0
U2 29
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0950-0618
EI 1879-0526
J9 CONSTR BUILD MATER
JI Constr. Build. Mater.
PD MAR 20
PY 2018
VL 165
BP 782
EP 791
DI 10.1016/j.conbuildmat.2017.12.134
PG 10
WC Construction & Building Technology; Engineering, Civil; Materials
   Science, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering; Materials Science
GA GA3LB
UT WOS:000428229100074
DA 2025-01-10
ER

PT J
AU Gupta, R
   Gregg, M
AF Gupta, Rajat
   Gregg, Matt
TI Assessing energy use and overheating risk in net zero energy dwellings
   in UK
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Energy efficiency; Net zero energy building; Simulation; Climate
   adaptation; Overheating
ID PERFORMANCE; BUILDINGS; HOMES
AB This paper presents the methodological approach and findings of a simulation study of advanced energy conservation, generation and management technologies applied to two case study dwellings in the UK, so as to achieve net zero energy (NZE) target that includes a reduction of net regulated energy (HVAC) to 0 kWh/m(2) per year and energy generation of at least 50 kWh/m(2) per year. The performance of the dwellings are also tested for a change in energy use and risk of summertime overheating in future climates in the short (2030s), medium (2050s) and long term (2080s).
   The findings indicate that to meet the NZE targets, regulated loads need to reduce by about half (over current Building Regulations) with community (rather than building-level) renewables playing a major role. It is also found that the NZE targets, given current regulations, are not particularly difficult to achieve in design with regard to energy efficiency but are highly expectant with regard to renewable energy. Further, summertime overheating is projected to be a risk for net zero energy dwellings by the 2050s. Despite this the regulated energy use of both dwellings is projected to reduce by 11 kWh/m(2)/yr, accompanied by a small increase in renewable generation (2 kWh/m(2)/yr). (C) 2017 Elsevier B.V. All rights reserved.
C1 [Gupta, Rajat; Gregg, Matt] Oxford Brookes Univ, Sch Architecture, Oxford Inst Sustainable Dev, Low Carbon Bldg Grp, Oxford OX3 0BP, England.
C3 Oxford Brookes University
RP Gupta, R (corresponding author), Oxford Brookes Univ, Sch Architecture, Oxford Inst Sustainable Dev, Low Carbon Bldg Grp, Oxford OX3 0BP, England.
EM rgupta@brookes.ac.uk
RI Gupta, Rajat/R-2471-2019
OI Gregg, Matthew/0000-0001-6009-991X
FU European Union's Horizon 2020 Research and Innovation programme
   [678407]; H2020 Societal Challenges Programme [678407] Funding Source:
   H2020 Societal Challenges Programme
FX The research study is part of the Zero Plus research project, which has
   received funding from the European Union's Horizon 2020 Research and
   Innovation programme under Grant Agreement No. 678407. The authors would
   also like to thank the developer and architect of the case study
   dwellings.
CR [Anonymous], 2010, DIRECTIVE 201031EU E
   Berry S, 2014, ENERG POLICY, V73, P127, DOI 10.1016/j.enpol.2014.05.011
   BRE, 2012, GOV STAND ASS PROC E, P232
   BRE, 2014, BUILD TYP BROCH ENGL, P40
   DCLG, 2015, ENGL HOUS SURV PROF, P105
   Dengel A., 2012, OVERHEATING NEW HOME
   Eames M., 2011, BUILD SERV ENG RES T, V32
   European Commission (EC), 2015, EUROPE 2020
   Gupta R., 2014, WINDS C CUMB LODG WI, P1
   Gupta R., 2012, WINDS C NETW COMF EN
   Gupta R, 2016, ENERG BUILDINGS, V128, P68, DOI 10.1016/j.enbuild.2016.06.081
   Gupta R, 2016, ADV BUILD ENERGY RES, V10, P46, DOI 10.1080/17512549.2015.1014843
   Gupta R, 2013, BUILD RES INF, V41, P281, DOI 10.1080/09613218.2013.772043
   Gupta R, 2012, BUILD ENVIRON, V55, P20, DOI 10.1016/j.buildenv.2012.01.014
   H. Government, 2014, APPR DOC L1A CONS FU, P48
   Halasah SA, 2013, ENERG POLICY, V52, P462, DOI 10.1016/j.enpol.2012.09.063
   Kapsalaki M, 2011, ADV BUILD ENERGY RES, V5, P129, DOI 10.1080/17512549.2011.582352
   Larsen T.S., 2011, P BUILDING SIMULATIO, P1414
   Maivel M, 2015, ARCHIT SCI REV, V58, P1, DOI 10.1080/00038628.2014.970610
   Malin N., 2010, ENV BUILD NEWS, V19, P1
   Marique AF, 2014, ENERG BUILDINGS, V82, P114, DOI 10.1016/j.enbuild.2014.07.006
   McLeod RS, 2013, BUILD ENVIRON, V70, P189, DOI 10.1016/j.buildenv.2013.08.024
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Nicol Fergus, 2013, LIMITS THERMAL COMFO, DOI DOI 10.1017/CBO9781107415324.004
   Oikonomou E, 2012, BUILD ENVIRON, V57, P223, DOI 10.1016/j.buildenv.2012.04.002
   Orme M., 2003, P CIBSE ASHRAE C 24, P2003
   Porritt SM, 2012, ENERG BUILDINGS, V55, P16, DOI 10.1016/j.enbuild.2012.01.043
   Ruud S. H., 2005, WORLD SUST BUILD C T, P1143
   Sameni SMT, 2015, BUILD ENVIRON, V92, P222, DOI 10.1016/j.buildenv.2015.03.030
   Schnieders J., 2009, PASSIV HOUSES S W EU
   Simone A., 2014, 8 WINDS C COUNT COST, P10
   STAHL W, 1994, SOL ENERGY, V52, P111, DOI 10.1016/0038-092X(94)90085-G
   Tillson AA, 2013, BUILD RES INF, V41, P652, DOI 10.1080/09613218.2013.808864
   Vale B., 2000, NEW AUTONOMOUS HOUSE
   Voss K, 2011, J GREEN BUILD, V6, P46, DOI 10.3992/jgb.6.1.46
NR 35
TC 40
Z9 43
U1 1
U2 26
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD JAN 1
PY 2018
VL 158
BP 897
EP 905
DI 10.1016/j.enbuild.2017.10.061
PG 9
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA FU1VC
UT WOS:000423636600076
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Mason, JG
   Eurich, JG
   Lau, JD
   Battista, W
   Free, CM
   Mills, KE
   Tokunaga, K
   Zhao, LZ
   Dickey-Collas, M
   Valle, M
   Pecl, GT
   Cinner, JE
   McClanahan, TR
   Allison, EH
   Friedman, WR
   Silva, C
   Yáñez, E
   Barbieri, MA
   Kleisner, KM
AF Mason, Julia G.
   Eurich, Jacob G.
   Lau, Jacqueline D.
   Battista, Willow
   Free, Christopher M.
   Mills, Katherine E.
   Tokunaga, Kanae
   Zhao, Lily Z.
   Dickey-Collas, Mark
   Valle, Mireia
   Pecl, Gretta T.
   Cinner, Joshua E.
   McClanahan, Tim R.
   Allison, Edward H.
   Friedman, Whitney R.
   Silva, Claudio
   Yanez, Eleuterio
   Barbieri, Maria A.
   Kleisner, Kristin M.
TI Attributes of climate resilience in fisheries: From theory to practice
SO FISH AND FISHERIES
LA English
DT Article
DE adaptive capacity; coastal communities; fisheries management; global
   change; social-ecological systems; synthesis science
ID SOCIAL-ECOLOGICAL SYSTEMS; ENVIRONMENTAL-CHANGE; ADAPTIVE GOVERNANCE;
   RISK PERCEPTIONS; MARINE RESERVES; RANGE SHIFTS; MANAGEMENT; ADAPTATION;
   OCEAN; FISH
AB In a changing climate, there is an imperative to build coupled social-ecological systems-including fisheries-that can withstand or adapt to climate stressors. Although resilience theory identifies system attributes that supposedly confer resilience, these attributes have rarely been clearly defined, mechanistically explained, nor tested and applied to inform fisheries governance. Here, we develop and apply a comprehensive resilience framework to examine fishery systems across (a) ecological, (b) socio-economic and (c) governance dimensions using five resilience domains: assets, flexibility, organization, learning and agency. We distil and define 38 attributes that confer climate resilience from a coupled literature- and expert-driven approach, describe how they apply to fisheries and provide illustrative examples of resilience attributes in action. Our synthesis highlights that the directionality and mechanism of these attributes depend on the specific context, capacities, and scale of the focal fishery system and associated stressors, and we find evidence of interdependencies among attributes. Overall, however, we find few studies that test resilience attributes in fisheries across all parts of the system, with most examples focussing on the ecological dimension. As such, meaningful quantification of the attributes' contributions to resilience remains a challenge. Our synthesis and holistic framework represent a starting point for critical application of resilience concepts to fisheries social-ecological systems.
C1 [Mason, Julia G.; Battista, Willow; Kleisner, Kristin M.] Environm Def Fund, Boston, MA USA.
   [Mason, Julia G.] Cornell Atkinson Ctr Sustainabil, Ithaca, NY USA.
   [Eurich, Jacob G.; Valle, Mireia; Friedman, Whitney R.] Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93106 USA.
   [Eurich, Jacob G.; Free, Christopher M.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
   [Lau, Jacqueline D.; Cinner, Joshua E.] James Cook Univ, ARC Ctr Excellence Coral Reef Studies, Townsville, Qld, Australia.
   [Lau, Jacqueline D.; Allison, Edward H.] WorldFish, George Town, Malaysia.
   [Free, Christopher M.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA USA.
   [Mills, Katherine E.; Tokunaga, Kanae] Gulf Maine Res Inst, Portland, ME USA.
   [Zhao, Lily Z.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA USA.
   [Dickey-Collas, Mark] Int Council Explorat Sea ICES, Copenhagen, Denmark.
   [Dickey-Collas, Mark] Tech Univ Denmark DTU Aqua, Natl Inst Aquat Resources, Lyngby, Denmark.
   [Valle, Mireia] Basque Res & Technol Alliance BRTA, Marine Res, AZTI, Sukarrieta, Spain.
   [Pecl, Gretta T.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
   [Pecl, Gretta T.] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas, Australia.
   [McClanahan, Tim R.] Wildlife Conservat Soc, Global Marine Programs, Bronx, NY USA.
   [Friedman, Whitney R.] Nature Conservancy, 1815 N Lynn St, Arlington, VA USA.
   [Silva, Claudio; Yanez, Eleuterio; Barbieri, Maria A.] Pontificia Univ Catolica Valparaiso, Escuela Ciencias Mar, Valparaiso, Chile.
   [Silva, Claudio] Ctr Invest Oceano Sustentable, Limache, Chile.
C3 Environmental Defense Fund; National Center for Ecological Analysis &
   Synthesis; University of California System; University of California
   Santa Barbara; University of California System; University of California
   Santa Barbara; James Cook University; ARC Centre of Excellence for Coral
   Reef Studies; CGIAR; Worldfish; University of California System;
   University of California Santa Barbara; Gulf of Maine Research
   Institute; University of California System; University of California
   Santa Barbara; Technical University of Denmark; AZTI; University of
   Tasmania; University of Tasmania; Wildlife Conservation Society; Nature
   Conservancy; Pontificia Universidad Catolica de Valparaiso
RP Eurich, JG (corresponding author), Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93106 USA.
EM jacobeurich@ucsb.edu
RI McClanahan, Tim/K-4998-2019; Eurich, Dr. Jacob/K-8598-2019;
   Dickey-Collas, Mark/A-8036-2008; Cinner, Joshua/E-8966-2011; Pecl,
   Gretta/D-7267-2011; Free, Christopher/N-2813-2013; Valle,
   Mireia/G-5783-2011
OI Dickey-Collas, Mark/0000-0003-3154-8039; Tokunaga,
   Kanae/0000-0002-6171-5187; Mills, Katherine/0000-0001-6078-7747; Free,
   Christopher/0000-0002-2557-8920; Eurich, Jacob G/0000-0003-1764-7524;
   Lau, Jacqueline/0000-0002-0403-8423; Cinner, Joshua/0000-0003-2675-9317;
   Battista, Willow/0000-0002-2616-2740; Valle, Mireia/0000-0001-8517-8518
FU David and Lucile Packard Foundation [2018-68222]; David R. and Patricia
   D. Atkinson Foundation; National Science Foundation [CNH 1826668]; ARC
   Centre of Excellence in Coral Reef Studies, James Cook University; CGIAR
   Research Program on Fish Agri-Food Systems (FISH); CGIAR Trust Fund;
   Australian Research Council [CE140100020, FT160100047]
FX This paper resulted from the Science for Nature and People Partnership
   (SNAPP) Climate Resilient Fisheries Working Group. SNAPP is a
   partnership of The Nature Conservancy and Wildlife Conservation Society.
   This SNAPP working group is part of a cohort of research funded by the
   generosity of the David and Lucile Packard Foundation Grant #2018-68222
   to address the theme of Oceans, Climate, and Equity. The manuscript
   greatly benefited from all working group leaders, members and advisors
   and from additional external experts (see Supplementary Information for
   full list) who assisted in the development, conceptualization and peer
   review of the resilience attributes. George Freduah was a core part of
   the literature review and thematic coding. We are particularly grateful
   to Pat Sullivan for thoughtful comments that improved the manuscript and
   Hannah Epstein and Hugo Harrison for their thoughtful discussions and
   inputs to the resilience attributes. We thank Derek Armitage, Lyall
   Bellquist, Merrick Burden, Beth Fulton, Rod Fujita, Steve Gaines,
   Christopher Golden, Anne Hollowed, Sangeeta Mangubhai, Essam Mohammed,
   Myron Peck, Andy Pershing, Joern Schmidt and Lynne Shannon for their
   peer review of the resilience attributes and Petri Tuohimaa for his
   graphic design work. We are also grateful for the financial support of
   the David R. and Patricia D. Atkinson Foundation (to JGM), the National
   Science Foundation (CNH 1826668 to JGE), the ARC Centre of Excellence in
   Coral Reef Studies, James Cook University, the CGIAR Research Program on
   Fish Agri-Food Systems (FISH) led by WorldFish, and the CGIAR Trust Fund
   (to JDL) and the Australian Research Council (CE140100020, FT160100047
   to JEC). The manuscript greatly benefited from the input of two
   anonymous reviewers.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alcala AC, 2006, AMBIO, V35, P245, DOI 10.1579/05-A-054R1.1
   Amundsen H, 2015, LOCAL ENVIRON, V20, P257, DOI 10.1080/13549839.2013.838751
   Andersson J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118896
   [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
   Arlinghaus R, 2010, BIOL CONSERV, V143, P1444, DOI 10.1016/j.biocon.2010.03.020
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Armitage D, 2010, SPRINGER SER ENV MAN, P287, DOI 10.1007/978-3-642-12194-4_14
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Baetscher DS, 2019, MOL ECOL, V28, P1611, DOI 10.1111/mec.15044
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Barange Manuel, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P611
   Barbieri M.A., 2002, REMOTE SENS APPL, V83, P49
   Barneche DR, 2018, SCIENCE, V360, P642, DOI 10.1126/science.aao6868
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Bassett HR, 2021, WORLD DEV, V143, DOI 10.1016/j.worlddev.2021.105473
   Battista W, 2018, COAST MANAGE, V46, P388, DOI 10.1080/08920753.2018.1498711
   Battista W, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00403
   Baudron AR, 2020, ECOGRAPHY, V43, P494, DOI 10.1111/ecog.04864
   Bell RJ, 2015, ICES J MAR SCI, V72, P1311, DOI 10.1093/icesjms/fsu217
   Bennett NJ, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12640
   Berkeley SA, 2004, FISHERIES, V29, P23, DOI 10.1577/1548-8446(2004)29[23:FSVPOA]2.0.CO;2
   Berkes F., 1998, LINKING SOCIAL ECOLO
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Binfoff N L., 2019, The Ocean and Cryosphere in a Changing Climate, DOI DOI 10.1017/9781009157964.007
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Brooker RW, 2007, J THEOR BIOL, V245, P59, DOI 10.1016/j.jtbi.2006.09.033
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brunner Ronald., 2005, ADAPTIVE GOVERNANCE
   Buheji M., 2020, VISUALISING RESILIEN
   Camp EV, 2020, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00498
   Campling L, 2012, J AGRAR CHANGE, V12, P177, DOI 10.1111/j.1471-0366.2011.00356.x
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Charles A., 2019, ADDRESSING CLIMATE C, P104
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Crona B, 2017, WORLD DEV, V91, P70, DOI 10.1016/j.worlddev.2016.10.006
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   Cvitanovic C, 2018, REV FISH BIOL FISHER, V28, P1, DOI 10.1007/s11160-017-9495-9
   Dahlke FT, 2020, SCIENCE, V369, P65, DOI 10.1126/science.aaz3658
   de Paoli H, 2017, P NATL ACAD SCI USA, V114, P8035, DOI 10.1073/pnas.1619203114
   Enberg K, 2009, EVOL APPL, V2, P394, DOI 10.1111/j.1752-4571.2009.00077.x
   Eurich JG, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2389
   Fabinyi M, 2014, ECOL SOC, V19, DOI 10.5751/ES-07029-190428
   Farrell P, 2020, FOOD SECUR, V12, P783, DOI 10.1007/s12571-020-01087-y
   Finkbeiner EM, 2015, GLOBAL ENVIRON CHANG, V32, P139, DOI 10.1016/j.gloenvcha.2015.03.009
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Fulton EA, 2021, FISH FISH, V22, P428, DOI 10.1111/faf.12537
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gephart JA, 2017, GLOBAL ENVIRON CHANG, V42, P24, DOI 10.1016/j.gloenvcha.2016.11.003
   Gill DA, 2017, NATURE, V543, P665, DOI 10.1038/nature21708
   Golden CD, 2021, NATURE, V598, P315, DOI 10.1038/s41586-021-03917-1
   Golden CD, 2021, GLOB FOOD SECUR-AGR, V30, DOI 10.1016/j.gfs.2021.100561
   González-Quintero C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11216073
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Green KM, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02965-w
   Grêt-Regamey A, 2019, NAT SUSTAIN, V2, P290, DOI 10.1038/s41893-019-0236-Z
   Gutiérrez NL, 2011, NATURE, V470, P386, DOI 10.1038/nature09689
   Hall-Arber M, 2005, REV M T FIS, V4, P141
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Harrison HB, 2020, P NATL ACAD SCI USA, V117, P25595, DOI 10.1073/pnas.1920580117
   Harrison HB, 2012, CURR BIOL, V22, P1023, DOI 10.1016/j.cub.2012.04.008
   Hilborn R, 2007, MAR POLICY, V31, P153, DOI 10.1016/j.marpol.2006.05.014
   Hixon MA, 2014, ICES J MAR SCI, V71, P2171, DOI 10.1093/icesjms/fst200
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   ICES, 2021, ICES ADV COMM 2021 I
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Isaac NJB, 2004, P ROY SOC B-BIOL SCI, V271, P1135, DOI 10.1098/rspb.2004.2724
   Jacobi J, 2019, REG ENVIRON CHANGE, V19, P879, DOI 10.1007/s10113-018-1448-x
   Kalikoski DC, 2010, SPRINGER SER ENV MAN, P69, DOI 10.1007/978-3-642-12194-4_4
   Kerner DA, 2014, RESOURCES-BASEL, V3, P672, DOI 10.3390/resources3040672
   Kleisner KM, 2022, ICES J MAR SCI, V79, P552, DOI 10.1093/icesjms/fsab080
   Kritzer JP, 2019, ICES J MAR SCI, V76, P1424, DOI 10.1093/icesjms/fsz038
   Leach WD, 2001, J WATER RES PL-ASCE, V127, P378, DOI 10.1061/(ASCE)0733-9496(2001)127:6(378)
   Levin S, 2013, ENVIRON DEV ECON, V18, P111, DOI 10.1017/S1355770X12000460
   Lim-Camacho L, 2015, REG ENVIRON CHANGE, V15, P595, DOI 10.1007/s10113-014-0670-4
   MacNally RC., 1995, ECOLOGICAL VERSATILI
   Madduppa H, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0240951
   Malhi Y, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0104
   Marschke MJ, 2006, ECOL SOC, V11
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   McClanahan T, 2020, BIOL CONSERV, V246, DOI 10.1016/j.biocon.2020.108585
   McClanahan TR, 2019, CONSERV BIOL, V33, P917, DOI 10.1111/cobi.13258
   McClanahan TR, 2021, FISH FISH, V22, P1085, DOI 10.1111/faf.12570
   McClenachan L, 2020, AMBIO, V49, P144, DOI 10.1007/s13280-019-01156-3
   Mcleod E, 2019, J ENVIRON MANAGE, V233, P291, DOI 10.1016/j.jenvman.2018.11.034
   Mendenhall E, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2020.103954
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Mooney H, 2009, CURR OPIN ENV SUST, V1, P46, DOI 10.1016/j.cosust.2009.07.006
   Mumby PJ, 2008, J APPL ECOL, V45, P854, DOI 10.1111/j.1365-2664.2008.01459.x
   Murunga M, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2021.105413
   Naranjo L, 2021, LAT AM J AQUAT RES, V49, P538, DOI 10.3856/vol49-issue4-fulltext-2662
   Nursey-Bray M, 2012, MAR POLICY, V36, P753, DOI 10.1016/j.marpol.2011.10.015
   Nyström M, 2001, ECOSYSTEMS, V4, P406, DOI 10.1007/s10021-001-0019-y
   O'Brien K, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P437
   Ogier EM, 2016, MAR POLICY, V71, P82, DOI 10.1016/j.marpol.2016.05.014
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Olds AD, 2012, CONSERV LETT, V5, P56, DOI 10.1111/j.1755-263X.2011.00204.x
   Osthagen A, 2020, MARIT STUD, V19, P155, DOI 10.1007/s40152-020-00172-4
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Penas E, 2007, ICES J MAR SCI, V64, P588, DOI 10.1093/icesjms/fsm053
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Plagányi EE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091833
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Portes A, 2011, ANNU REV SOCIOL, V37, P461, DOI 10.1146/annurev-soc-081309-150022
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Richardson LE, 2018, GLOBAL CHANGE BIOL, V24, P3117, DOI 10.1111/gcb.14119
   Richerson K, 2020, FISH RES, V226, DOI 10.1016/j.fishres.2020.105528
   Saavedra C., 2012, Urban Studies Research, V2012, P1, DOI [DOI 10.1155/2012/458172, 10.1155/2012/458172]
   Santora JA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14215-w
   Scheffers BR, 2019, NAT CLIM CHANGE, V9, P581, DOI 10.1038/s41558-019-0526-5
   Schindler DE, 2010, NATURE, V465, P609, DOI 10.1038/nature09060
   Schneider H., 1999, Journal of International Development, V11, P521, DOI 10.1002/(SICI)1099-1328(199906)11:4<521::AID-JID599>3.0.CO;2-J
   Schultz L, 2015, P NATL ACAD SCI USA, V112, P7369, DOI 10.1073/pnas.1406493112
   Secor DH, 2000, ICES J MAR SCI, V57, P808, DOI 10.1006/jmsc.2000.0560
   Sheng Y.K., 2009, WHAT IS GOOD GOVERNA, P3
   Silva C, 2015, PROG OCEANOGR, V134, P343, DOI 10.1016/j.pocean.2015.03.004
   Singh GG, 2019, PEOPLE NAT, V1, P317, DOI 10.1002/pan3.26
   Solomon CT, 2020, FISH FISH, V21, P973, DOI 10.1111/faf.12482
   Spijkers J, 2017, REG ENVIRON CHANGE, V17, P1835, DOI 10.1007/s10113-017-1150-4
   Stanford RJ, 2017, FISH FISH, V18, P1011, DOI 10.1111/faf.12220
   Stoll JS, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.614368
   Sunday JM, 2015, ECOL LETT, V18, P944, DOI 10.1111/ele.12474
   Tanner Thomas., 2009, IDS Work. Pap
   Townshend I, 2015, NAT HAZARDS, V76, P913, DOI 10.1007/s11069-014-1526-4
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Ueda K, 2012, INT J JPN SOCIOL, V21, P21, DOI 10.1111/j.1475-6781.2012.01159.x
   Valenzuela-Quiñonez F, 2016, BRIEF FUNCT GENOMICS, V15, P352, DOI 10.1093/bfgp/elw006
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Yanez E., 2018, Climate change impacts on fisheries and aquaculture: A global analysis, V1, P239
   Yanez E., 2020, REV VERSION DIFERENT, P70
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Yu DJ, 2020, RISK ANAL, V40, P1509, DOI 10.1111/risa.13494
NR 141
TC 56
Z9 58
U1 1
U2 44
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1467-2960
EI 1467-2979
J9 FISH FISH
JI Fish. Fish.
PD MAY
PY 2022
VL 23
IS 3
BP 522
EP 544
DI 10.1111/faf.12630
EA NOV 2021
PG 23
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Fisheries
GA 0K7BX
UT WOS:000723559800001
OA Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Brattland, C
   Eythorsson, E
   Weines, J
   Sunnana, K
AF Brattland, Camilla
   Eythorsson, Einar
   Weines, Jorn
   Sunnana, Knut
TI Social-ecological timelines to explore human adaptation to coastal
   change
SO AMBIO
LA English
DT Article
DE Alien invasive species; Indigenous and rural communities; Northern
   Norway; Social-ecological systems; Social-ecological timelines
ID FRAMEWORK
AB Through the construction of a socio-ecological timeline for the Porsanger fjord ecosystem, this article illustrates the different ways in which environmental and social-ecological changes have influenced the adaptations of rural households in coastal Sami communities in Finnmark, north Norway. The main finding is that, although environmental change in the form of seal invasions and dwindling fish stocks directly impacted the fisheries, the introduction of a new vessel quota system decisively changed adaptive capacity and coastal Sami household adaptation strategies. These changes represented a tipping point for the social-ecological system in the period between 1986 and 1990. It is thus important to discuss the ways in which governance systems may facilitate actions to adapt to climate and biodiversity change and foster sustainable rural livelihood systems in coastal Norway. Based on traditional and local ecological knowledge on the state of the ecosystem prior to the tipping point, two relevant actions to increase the resilience of the system were identified: ensuring the possibility of re-entry into fisheries as part of rural livelihood combinations, and ecological restoration of kelp beds. Flexible diversification of livelihoods allows exploitation of a range of adjacent species without large investments in a fossile fuel-driven fisheries economy. Investing in regrowth of macroalgae to foster cod nursery areas and increase carbon sequestration can be a relevant alternative for communities that are interested in contributing to climate change mitigation on a larger scale.
C1 [Brattland, Camilla] UiT Arctic Univ Norway, Dept Social Sci, Tromso, Norway.
   [Eythorsson, Einar] Norwegian Inst Cultural Heritage Res NIKU, Oslo, Norway.
   [Weines, Jorn] UiT Arctic Univ Norway, Norwegian Coll Fisheries Sci, Tromso, Norway.
   [Sunnana, Knut] Inst Marine Res, Bergen, Norway.
C3 UiT The Arctic University of Tromso; UiT The Arctic University of
   Tromso; Institute of Marine Research - Norway
RP Brattland, C (corresponding author), UiT Arctic Univ Norway, Dept Social Sci, Tromso, Norway.
EM camilla.brattland@uit.no; ee@niku.no; jorn.weines@uit.no;
   knut.sunnanaa@imr.no
RI Brattland, Camilla/ABC-3652-2021
OI Brattland, Camilla/0000-0002-0308-4524; Weines, Jorn/0000-0002-8368-4617
FU Norwegian Research Council
FX Thanks to the Institute for Marine Research and the Coastal Sami
   Resource Centre for the contributions to this paper. The Norwegian
   Research Council has partly funded the research through the Coreplan
   project (2016-2018) headed by Nofima. Thanks for the constructive
   comments provided by the reviewers, and by Jahn Petter Johnsen, the
   Norwegian College of Fishery Science.
CR Andersen S., 2011, GANG VAR JO RIKELIG
   Andrachuk M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07759-200426
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   [Anonymous], 1993, TRADITIONAL ECOLOGIC
   [Anonymous], 2015, GOVERNING COMMONS EV
   Bevilacqua AHV, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155655
   Brattland C, 2014, MARIT STUD, V13, DOI 10.1186/s40152-014-0018-1
   Broderstad EG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06533-190301
   Christensen P, 2017, FISH COAST COMMUNITI, P261
   Colin-Castillo S, 2015, INT J COMMONS, V9, P281, DOI 10.18352/ijc.490
   Davis A, 2001, MAR POLICY, V25, P223, DOI 10.1016/S0308-597X(01)00014-8
   Davis A, 2010, ECOL APPL, V20, P880, DOI 10.1890/09-0422.1
   Díaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002
   Eythorsson E., 2012, Fishing People of the North: Cultures, Economies, and Management Responding to Change, P131
   Eythorsson E, 2008, SJOSAMENE KAMPEN FJO
   Haug T, 1995, DEV MAR BIO, V4, P545
   Hersoug B., 2005, Closing the commons: Norwegian fisheries from open access to private property
   Howard P, 2013, 2009 AMST C HUM DIM
   Jakobsen T., 2011, The Barents Sea: Ecosystem, resources, management-Half a century of Russian-Norwegian cooperation
   Johnsen Jahn., MAST, V7, P9, DOI DOI 10.1016/j.marpol.2010.08.011
   Keiner C, 2013, ENVIRON HIST-US, V18, P111, DOI 10.1093/envhis/ems109
   Maurstad A, 1998, MAN BIOSPH, V22, P167
   Maurstad A, 1997, THESIS
   Maurstad A, 2008, NOU 2008 5 RETTEN FI
   Nilsen R, 1998, MAN BIOSPH, V22, P83
   Nilsen R, 2003, INDIGENOUS PEOPLES R
   NILSSEN KT, 1992, FISH RES, V13, P25, DOI 10.1016/0165-7836(92)90031-N
   Nordic Council of Ministers, 2017, 2016552 TEMANORD NOR, V2016, P552, DOI [DOI 10.6027/TN2016-552, 10.6027/TN2016-552]
   Norwegian Directorate for Fisheries, 2004, UTR KONS FISK OMR LO
   NRK, 2014, ER SLAG ANS
   Ommer Rosemary., 2007, COASTS STRESS RESTRU, DOI [10.1515/9780773576018, DOI 10.1515/9780773576018]
   Pedersen T, 2018, MAR ECOL PROG SER, V596, P13, DOI 10.3354/meps12548
   Perry RI, 2011, FISH FISH, V12, P427, DOI 10.1111/j.1467-2979.2010.00402.x
   Pettersson A., 1994, SMAFOLK DRIVKREFTER
   Pinchukov MA, 2011, BARENTS SEA ECOSYSTE
   Shackleton CM, 2007, HUM ECOL, V35, P113, DOI 10.1007/s10745-006-9095-0
   Sivertsen K, 2006, J APPL PHYCOL, V18, P599, DOI 10.1007/s10811-006-9064-4
   Sivertsen K, 2015, MAR BIOL RES, V11, P405, DOI 10.1080/17451000.2014.940975
   SOderholm B, 2002, FORPROSJEKT PORSANGE
   SSB, 2018, KOMM PORS PORS PORS
   Stephenson RL, 2016, ICES J MAR SCI, V73, P1459, DOI 10.1093/icesjms/fsw025
   Sundet JH, 2008, KYST HAVBRUK 2008, P46
   Sunnset B.H, 2010, MARINE RES NEWS
   Sutton RT, 2005, SCIENCE, V309, P115, DOI 10.1126/science.1109496
   Taylor JE, 2013, ENVIRON HIST-US, V18, P60, DOI 10.1093/envhis/ems108
   Tengö M, 2014, AMBIO, V43, P579, DOI 10.1007/s13280-014-0501-3
   Toresen R, 2000, FISH FISH, V1, P231, DOI 10.1111/j.1467-2979.2000.00022.x
   Weines J, 2016, THESIS
NR 48
TC 12
Z9 13
U1 3
U2 39
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD DEC
PY 2019
VL 48
IS 12
SI SI
BP 1516
EP 1529
DI 10.1007/s13280-018-1129-5
PG 14
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA JR5YE
UT WOS:000499699400008
PM 30569438
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Kumarathunge, DP
   Medlyn, BE
   Drake, JE
   Tjoelker, MG
   Aspinwall, MJ
   Battaglia, M
   Cano, FJ
   Carter, KR
   Cavaleri, MA
   Cernusak, LA
   Chambers, JQ
   Crous, KY
   De Kauwe, MG
   Dillaway, DN
   Dreyer, E
   Ellsworth, DS
   Ghannoum, O
   Han, QM
   Hikosaka, K
   Jensen, AM
   Kelly, JWG
   Kruger, EL
   Mercado, LM
   Onoda, Y
   Reich, PB
   Rogers, A
   Slot, M
   Smith, NG
   Tarvainen, L
   Tissue, DT
   Togashi, HF
   Tribuzy, ES
   Uddling, J
   Vårhammar, A
   Wallin, G
   Warren, JM
   Way, DA
AF Kumarathunge, Dushan P.
   Medlyn, Belinda E.
   Drake, John E.
   Tjoelker, Mark G.
   Aspinwall, Michael J.
   Battaglia, Michael
   Cano, Francisco J.
   Carter, Kelsey R.
   Cavaleri, Molly A.
   Cernusak, Lucas A.
   Chambers, Jeffrey Q.
   Crous, Kristine Y.
   De Kauwe, Martin G.
   Dillaway, Dylan N.
   Dreyer, Erwin
   Ellsworth, David S.
   Ghannoum, Oula
   Han, Qingmin
   Hikosaka, Kouki
   Jensen, Anna M.
   Kelly, Jeff W. G.
   Kruger, Eric L.
   Mercado, Lina M.
   Onoda, Yusuke
   Reich, Peter B.
   Rogers, Alistair
   Slot, Martijn
   Smith, Nicholas G.
   Tarvainen, Lasse
   Tissue, David T.
   Togashi, Henrique F.
   Tribuzy, Edgard S.
   Uddling, Johan
   Varhammar, Angelica
   Wallin, Goeran
   Warren, Jeffrey M.
   Way, Danielle A.
TI Acclimation and adaptation components of the temperature dependence of
   plant photosynthesis at the global scale
SO NEW PHYTOLOGIST
LA English
DT Article
DE AC(i) curves; climate of origin; global vegetation models (GVMs); growth
   temperature; J(max); maximum carboxylation capacity; maximum electron
   transport rate; V-cmax
ID BIOCHEMICALLY BASED MODEL; THERMAL-ACCLIMATION; MESOPHYLL CONDUCTANCE;
   CO2 ASSIMILATION; RUBISCO ACTIVASE; GEOGRAPHIC RANGE; SEASONAL-CHANGE;
   SPINACH LEAVES; ELEVATED CO2; TREE
AB The temperature response of photosynthesis is one of the key factors determining predicted responses to warming in global vegetation models (GVMs). The response may vary geographically, owing to genetic adaptation to climate, and temporally, as a result of acclimation to changes in ambient temperature. Our goal was to develop a robust quantitative global model representing acclimation and adaptation of photosynthetic temperature responses.
   We quantified and modelled key mechanisms responsible for photosynthetic temperature acclimation and adaptation using a global dataset of photosynthetic CO2 response curves, including data from 141 C-3 species from tropical rainforest to Arctic tundra. We separated temperature acclimation and adaptation processes by considering seasonal and common-garden datasets, respectively.
   The observed global variation in the temperature optimum of photosynthesis was primarily explained by biochemical limitations to photosynthesis, rather than stomatal conductance or respiration. We found acclimation to growth temperature to be a stronger driver of this variation than adaptation to temperature at climate of origin.
   We developed a summary model to represent photosynthetic temperature responses and showed that it predicted the observed global variation in optimal temperatures with high accuracy. This novel algorithm should enable improved prediction of the function of global ecosystems in a warming climate.
C1 [Kumarathunge, Dushan P.; Medlyn, Belinda E.; Tjoelker, Mark G.; Cano, Francisco J.; Crous, Kristine Y.; Ellsworth, David S.; Ghannoum, Oula; Tissue, David T.; Varhammar, Angelica] Western Sydney Univ, Hawkesbury Inst Environm, Locked Bag 1797, Penrith, NSW 2751, Australia.
   [Kumarathunge, Dushan P.] Coconut Res Inst Sri Lanka, Plant Physiol Div, Lunuwila 61150, Sri Lanka.
   [Drake, John E.] SUNY Syracuse, Coll Environm Sci & Forestry, Forest & Nat Resources Management, 1 Forestry Dr, Syracuse, NY 13210 USA.
   [Aspinwall, Michael J.] Univ North Florida, Dept Biol, 1 UNF Dr, Jacksonville, FL 32224 USA.
   [Battaglia, Michael] CSIRO Agr & Food Private, Private Bag 12, Hobart, Tas 7001, Australia.
   [Carter, Kelsey R.; Cavaleri, Molly A.] Michigan Technol Univ, Sch Forest Resources & Environm Sci, 1400 Townsend Dr, Houghton, MI 49931 USA.
   [Cernusak, Lucas A.] James Cook Univ, Coll Sci & Engn, Cairns, Qld 4878, Australia.
   [Chambers, Jeffrey Q.] Univ Calif Berkeley, Dept Geog, 507 McCone Hall 4740, Berkeley, CA 94720 USA.
   [De Kauwe, Martin G.] Univ New South Wales, ARC Ctr Excellence Climate Extremes, Sydney, NSW 2052, Australia.
   [Dillaway, Dylan N.] Unity Coll, Thomashow Learning Labs, 90 Quaker Hill Rd, Unity, ME 04988 USA.
   [Dreyer, Erwin] Univ Lorraine, Inra, Silva, F-54000 Nancy, France.
   [Han, Qingmin] FFPRI, Dept Plant Ecol, 1 Matsunosato, Tsukuba, Ibaraki 3058687, Japan.
   [Hikosaka, Kouki] Tohoku Univ, Grad Sch Life Sci, Aoba Ku, Sendai, Miyagi 9808578, Japan.
   [Jensen, Anna M.] Linnaeus Univ, Dept Forestry & Wood Technol, Vaxjo, Sweden.
   [Kelly, Jeff W. G.] Univ Washington, Ctr Sustainable Forestry Pack Forest, 9010 453rd St E, Eatonville, WA 98328 USA.
   [Kruger, Eric L.] Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA.
   [Mercado, Lina M.] Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4PS, Devon, England.
   [Mercado, Lina M.] Crowmarsh Gifford, Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England.
   [Onoda, Yusuke] Kyoto Univ, Grad Sch Agr, Kyoto 6068502, Japan.
   [Reich, Peter B.] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA.
   [Rogers, Alistair] Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 USA.
   [Slot, Martijn] Smithsonian Trop Res Inst, Apartado 0843-03092, Balboa, Ancon, Panama.
   [Smith, Nicholas G.] Texas Tech Univ, Dept Biol Sci, Lubbock, TX 79409 USA.
   [Tarvainen, Lasse] Swedish Univ Agr Sci SLU, Dept Forest Ecol & Management, SE-90183 Umea, Sweden.
   [Tarvainen, Lasse; Uddling, Johan; Wallin, Goeran] Univ Gothenburg, Dept Biol & Environm Sci, POB 461, SE-40530 Gothenburg, Sweden.
   [Togashi, Henrique F.] Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia.
   [Tribuzy, Edgard S.] Univ Fed Oeste UFOPA, Inst Biodiversidade & Florestas, BR-68035110 Santarem, PA, Brazil.
   [Warren, Jeffrey M.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA.
   [Warren, Jeffrey M.] Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37831 USA.
   [Way, Danielle A.] Univ Western Ontario, Dept Biol, London, ON N6A 5B6, Canada.
   [Way, Danielle A.] Duke Univ, Nicholas Sch Environm, Box 90328, Durham, NC 27708 USA.
C3 Western Sydney University; State University of New York (SUNY) System;
   State University of New York (SUNY) College of Environmental Science &
   Forestry; State University System of Florida; University of North
   Florida; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); Michigan Technological University; James Cook University;
   University of California System; University of California Berkeley;
   University of New South Wales Sydney; INRAE; Universite de Lorraine;
   Forestry & Forest Products Research Institute - Japan; Tohoku
   University; Linnaeus University; University of Washington; University of
   Wisconsin System; University of Wisconsin Madison; University of Exeter;
   UK Centre for Ecology & Hydrology (UKCEH); Kyoto University; University
   of Minnesota System; University of Minnesota Twin Cities; United States
   Department of Energy (DOE); Brookhaven National Laboratory; Smithsonian
   Institution; Smithsonian Tropical Research Institute; Texas Tech
   University System; Texas Tech University; Swedish University of
   Agricultural Sciences; University of Gothenburg; Macquarie University;
   United States Department of Energy (DOE); Oak Ridge National Laboratory;
   United States Department of Energy (DOE); Oak Ridge National Laboratory;
   Western University (University of Western Ontario); Duke University
RP Kumarathunge, DP (corresponding author), Western Sydney Univ, Hawkesbury Inst Environm, Locked Bag 1797, Penrith, NSW 2751, Australia.; Kumarathunge, DP (corresponding author), Coconut Res Inst Sri Lanka, Plant Physiol Div, Lunuwila 61150, Sri Lanka.
EM d.kumarathunge@westernsydney.edu.au
RI Medlyn, Belinda/O-5038-2019; Tribuzy, Edgard/D-8200-2014; Mercado,
   Lina/H-3067-2016; Kumarathunge, Dushan/K-1179-2019; Reich,
   Paul/D-4321-2013; Smith, Nick/AAH-9447-2019; Chambers,
   Jeffrey/AAU-7097-2021; De Kauwe, Martin/AAH-1304-2019; Way,
   Danielle/JOZ-1287-2023; Slot, Martijn/H-3179-2019; Varhammar,
   Angelica/G-3701-2016; Onoda, Yusuke/KAL-8074-2024; Aspinwall,
   Michael/ABH-9774-2020; Smith, Nicholas/B-7126-2015; Cano, Francisco
   Javier/F-2246-2011; Tissue, David/H-6596-2015; Warren,
   Jeffrey/B-9375-2012; Hikosaka, Kouki/A-5415-2013; Chambers,
   Jeffrey/J-9021-2014; Drake, John/N-8490-2014; De Kauwe,
   Martin/P-4797-2017; Tjoelker, Mark/M-2413-2016; Battaglia,
   MIchael/A-5545-2011; Aspinwall, Michael/M-2083-2014; Way,
   Danielle/N-1867-2014; Cernusak, Lucas/A-6859-2011; Rogers,
   Alistair/E-1177-2011
OI Ghannoum, Oula/0000-0002-1341-0741; Crous, Kristine/0000-0001-9478-7593;
   Carter, Kelsey/0000-0001-8327-6413; Varhammar,
   Angelica/0000-0003-1503-3297; Smith, Nicholas/0000-0001-7048-4387;
   Ellsworth, David/0000-0002-9699-2272; Cano, Francisco
   Javier/0000-0001-5720-5865; Tissue, David/0000-0002-8497-2047; Warren,
   Jeffrey/0000-0002-0680-4697; Hikosaka, Kouki/0000-0003-1744-3775;
   Tarvainen, Lasse/0000-0003-3032-9440; Slot, Martijn/0000-0002-5558-1792;
   Chambers, Jeffrey/0000-0003-3983-7847; Siza Tribuzy,
   Edgard/0000-0002-6834-8535; Drake, John/0000-0001-9453-1766; Cavaleri,
   Molly/0000-0003-0984-611X; De Kauwe, Martin/0000-0002-3399-9098;
   Tjoelker, Mark/0000-0003-4607-5238; Battaglia,
   MIchael/0000-0003-0144-5442; Aspinwall, Michael/0000-0003-0199-2972;
   Medlyn, Belinda/0000-0001-5728-9827; Way, Danielle/0000-0003-4801-5319;
   Cernusak, Lucas/0000-0002-7575-5526; Rogers,
   Alistair/0000-0001-9262-7430; Uddling, Johan/0000-0003-4893-1915;
   Kumarathunge, Dushan/0000-0003-1309-4731; Wallin,
   Goran/0000-0002-5359-1102
FU Western Sydney University PhD scholarship; Next Generation Ecosystem
   Experiments (NGEE Arctic) project - Office of Biological and
   Environmental Research in the United States Department of Energy (DOE),
   Office of Science; United States Department of Energy [DE-SC0012704];
   Australian Research Council DECRA [DE160101484]; NSERC Discovery grant;
   Hawkesbury Institute Research Exchange Program; Swedish strategic
   research area BECC (Biodiversity and Ecosystem Services in a Changing
   Climate); NGEE-Tropics, United States DOE; Australian Research Council
   Centre of Excellence for Climate Extremes [CE170100023]; Earl S Tupper
   postdoctoral fellowship; Biological and Environmental Research Program
   in the Office of Science, United States DOE [DEAC05-00OR22725]; United
   States DOE [DE-SC-0011806]; USDA Forest Service [13-JV-11120101-03];
   Australian Commonwealth Department of the Environment or Department of
   Agriculture; Australian Research Council [DP140103415]
FX This research was supported by a Western Sydney University PhD
   scholarship to DPK. AR was supported by the Next Generation Ecosystem
   Experiments (NGEE Arctic) project, which is supported by the Office of
   Biological and Environmental Research in the United States Department of
   Energy (DOE), Office of Science, and through the United States
   Department of Energy contract no. DE-SC0012704 to Brookhaven National
   Laboratory. KYC was supported by an Australian Research Council DECRA
   (DE160101484). DAW acknowledges an NSERC Discovery grant and funding
   from the Hawkesbury Institute Research Exchange Program. JU, LT and GW
   were supported by the Swedish strategic research area BECC (Biodiversity
   and Ecosystem Services in a Changing Climate; www.becc.lu.se). JQC was
   supported by the NGEE-Tropics, United States DOE. MDK was supported by
   Australian Research Council Centre of Excellence for Climate Extremes
   (CE170100023). MS was supported by an Earl S Tupper postdoctoral
   fellowship. AMJ and JMW were supported by the Biological and
   Environmental Research Program in the Office of Science, United States
   DOE under contract DEAC05-00OR22725. MAC was supported by United States
   DOE grant DE-SC-0011806 and USDA Forest Service 13-JV-11120101-03.
   Several of the Eucalyptus datasets included in this study were supported
   by the Australian Commonwealth Department of the Environment or
   Department of Agriculture, and the Australian Research Council
   (including DP140103415). We are grateful to Jens Kattge, Yan Shih-Lin,
   Alida C. Mau and Remko Duursma for useful discussions.
CR Ali AA, 2015, ECOL APPL, V25, P2349, DOI [10.1890/14-2111.1.sm, 10.1890/14-2111.1]
   Andersson I, 2008, PLANT PHYSIOL BIOCH, V46, P275, DOI 10.1016/j.plaphy.2008.01.001
   [Anonymous], 2012, R LANG ENV STAT COMP
   Bahar NHA, 2018, NEW PHYTOL, V218, P492, DOI 10.1111/nph.15031
   Battisti A, 2005, ECOL APPL, V15, P2084, DOI 10.1890/04-1903
   Bernacchi CJ, 2002, PLANT PHYSIOL, V130, P1992, DOI 10.1104/pp.008250
   Bernacchi CJ, 2001, PLANT CELL ENVIRON, V24, P253, DOI 10.1111/j.1365-3040.2001.00668.x
   BERRY J, 1980, ANNU REV PLANT PHYS, V31, P491, DOI 10.1146/annurev.pp.31.060180.002423
   Booth BBB, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/2/024002
   Chen M, 2013, TELLUS B, V65, DOI 10.3402/tellusb.v65i0.19156
   Crafts-Brandner SJ, 2000, P NATL ACAD SCI USA, V97, P13430, DOI 10.1073/pnas.230451497
   Crous KY, 2018, GLOBAL CHANGE BIOL, V24, P4626, DOI 10.1111/gcb.14330
   Crous KY, 2013, GLOBAL CHANGE BIOL, V19, P3790, DOI 10.1111/gcb.12314
   Cunningham SC, 2002, OECOLOGIA, V133, P112, DOI 10.1007/s00442-002-1034-1
   De Kauwe MG, 2016, NEW PHYTOL, V210, P1130, DOI 10.1111/nph.13815
   Dillaway DN, 2010, PLANT CELL ENVIRON, V33, P888, DOI 10.1111/j.1365-3040.2010.02114.x
   Dong N, 2017, BIOGEOSCIENCES, V14, P481, DOI 10.5194/bg-14-481-2017
   Dreyer E, 2001, TREE PHYSIOL, V21, P223, DOI 10.1093/treephys/21.4.223
   Duursma RA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143346
   Falcone Deane L., 2004, BMC Plant Biology, V4, P17, DOI 10.1186/1471-2229-4-17
   FARQUHAR GD, 1980, PLANTA, V149, P78, DOI 10.1007/BF00386231
   FRYER JH, 1972, CAN J BOTANY, V50, P1231, DOI 10.1139/b72-149
   Galmés J, 2015, PHOTOSYNTH RES, V123, P183, DOI 10.1007/s11120-014-0067-8
   Galmés J, 2014, PLANT SCI, V226, P61, DOI 10.1016/j.plantsci.2014.01.008
   Gunderson CA, 2000, TREE PHYSIOL, V20, P87
   Gunderson CA, 2010, GLOBAL CHANGE BIOL, V16, P2272, DOI 10.1111/j.1365-2486.2009.02090.x
   Hall M, 2013, TREE PHYSIOL, V33, P1156, DOI 10.1093/treephys/tpt014
   Harper AB, 2016, GEOSCI MODEL DEV, V9, P2415, DOI 10.5194/gmd-9-2415-2016
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hikosaka K, 2006, J EXP BOT, V57, P291, DOI 10.1093/jxb/erj049
   Hikosaka K, 1999, PLANT CELL ENVIRON, V22, P841, DOI 10.1046/j.1365-3040.1999.00442.x
   Hikosaka K, 1997, ANN BOT-LONDON, V80, P721, DOI 10.1006/anbo.1997.0512
   HUNER NPA, 1979, CAN J BIOCHEM CELL B, V57, P155, DOI 10.1139/o79-019
   HUNER NPA, 1985, AM J BOT, V72, P1290, DOI 10.2307/2443409
   Johnson FH, 1942, J CELL COMPAR PHYSL, V20, P247, DOI 10.1002/jcp.1030200302
   Kattge J, 2007, PLANT CELL ENVIRON, V30, P1176, DOI 10.1111/j.1365-3040.2007.01690.x
   Lambers H., 2008, Plant Physiological Ecology, V2nd edn, DOI DOI 10.1007/978-0-387-78341-3
   LEDIG FT, 1983, AM J BOT, V70, P256, DOI 10.2307/2443271
   Leuning R, 2002, PLANT CELL ENVIRON, V25, P1205, DOI 10.1046/j.1365-3040.2002.00898.x
   Lin YS, 2015, NAT CLIM CHANGE, V5, P459, DOI [10.1038/NCLIMATE2550, 10.1038/nclimate2550]
   Lin YS, 2013, TREE PHYSIOL, V33, P793, DOI 10.1093/treephys/tpt047
   Lin YS, 2012, TREE PHYSIOL, V32, P219, DOI 10.1093/treephys/tpr141
   Lombardozzi DL, 2015, GEOPHYS RES LETT, V42, P8624, DOI 10.1002/2015GL065934
   Medlyn BE, 2002, PLANT CELL ENVIRON, V25, P1167, DOI 10.1046/j.1365-3040.2002.00891.x
   Medlyn BE, 2002, PLANT CELL ENVIRON, V25, P1155, DOI 10.1046/j.1365-3040.2002.00890.x
   Medlyn BE, 2007, TREE PHYSIOL, V27, P1687, DOI 10.1093/treephys/27.12.1687
   Mercado LM, 2018, NEW PHYTOL, V218, P1462, DOI 10.1111/nph.15100
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   Onoda Y, 2005, FUNCT PLANT BIOL, V32, P903, DOI 10.1071/FP05024
   Rehfeldt GE, 2001, CLIMATIC CHANGE, V50, P355, DOI 10.1023/A:1010614216256
   Reich PB, 2015, NAT CLIM CHANGE, V5, P148, DOI [10.1038/NCLIMATE2497, 10.1038/nclimate2497]
   Robakowski P, 2012, PLANT ECOL, V213, P113, DOI 10.1007/s11258-011-0011-3
   Rogers A, 2000, GLOBAL CHANGE BIOL, V6, P1005, DOI 10.1046/j.1365-2486.2000.00375.x
   Rogers A, 2017, NEW PHYTOL, V216, P1090, DOI 10.1111/nph.14740
   Rogers A, 2017, NEW PHYTOL, V213, P22, DOI 10.1111/nph.14283
   Sage RF, 2008, J EXP BOT, V59, P1581, DOI 10.1093/jxb/ern053
   Savir Y, 2010, P NATL ACAD SCI USA, V107, P3475, DOI 10.1073/pnas.0911663107
   Scafaro AP, 2017, GLOBAL CHANGE BIOL, V23, P2783, DOI 10.1111/gcb.13566
   Sendall KM, 2015, GLOBAL CHANGE BIOL, V21, P1342, DOI 10.1111/gcb.12781
   Sharkey TD, 2007, PLANT CELL ENVIRON, V30, P1035, DOI 10.1111/j.1365-3040.2007.01710.x
   SLATYER RO, 1978, AUST J BOT, V26, P111, DOI 10.1071/BT9780111
   SLATYER RO, 1977, AUST J PLANT PHYSIOL, V4, P301, DOI 10.1071/PP9770301
   Slot M, 2017, PLANT CELL ENVIRON, V40, P3055, DOI 10.1111/pce.13071
   Smith NG, 2018, ECOLOGY, V99, P1610, DOI 10.1002/ecy.2370
   Smith NG, 2017, GLOBAL CHANGE BIOL, V23, P4840, DOI 10.1111/gcb.13735
   Smith NG, 2017, J ADV MODEL EARTH SY, V9, P536, DOI 10.1002/2016MS000732
   Smith NG, 2016, NAT CLIM CHANGE, V6, P407, DOI [10.1038/nclimate2878, 10.1038/NCLIMATE2878]
   Smith NG, 2013, GLOBAL CHANGE BIOL, V19, P45, DOI 10.1111/j.1365-2486.2012.02797.x
   Stinziano JR, 2018, GLOBAL CHANGE BIOL, V24, P1580, DOI 10.1111/gcb.13924
   Tan ZH, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6f97
   Tcherkez GGB, 2006, P NATL ACAD SCI USA, V103, P7246, DOI 10.1073/pnas.0600605103
   Valladares F, 2014, ECOL LETT, V17, P1351, DOI 10.1111/ele.12348
   Varhammar A, 2015, NEW PHYTOL, V206, P1000, DOI 10.1111/nph.13291
   von Caemmerer S, 2015, PLANT CELL ENVIRON, V38, P629, DOI 10.1111/pce.12449
   VONCAEMMERER S, 1981, PLANTA, V153, P376, DOI 10.1007/BF00384257
   Walker B, 2013, PLANT CELL ENVIRON, V36, P2108, DOI 10.1111/pce.12166
   Warren CR, 2007, ENVIRON EXP BOT, V59, P130, DOI 10.1016/j.envexpbot.2005.11.004
   Way DA, 2008, PLANT CELL ENVIRON, V31, P1250, DOI 10.1111/j.1365-3040.2008.01842.x
   Way DA, 2017, TREE PHYSIOL, V37, P879, DOI 10.1093/treephys/tpx086
   Way DA, 2014, PHOTOSYNTH RES, V119, P89, DOI 10.1007/s11120-013-9873-7
   Way DA, 2010, TREE PHYSIOL, V30, P669, DOI 10.1093/treephys/tpq015
   Yamaguchi DP, 2016, TREE PHYSIOL, V36, P1283, DOI 10.1093/treephys/tpw021
   Yamori W, 2005, PLANT CELL ENVIRON, V28, P536, DOI 10.1111/j.1365-3040.2004.01299.x
   Yamori W, 2006, PLANT CELL ENVIRON, V29, P1659, DOI 10.1111/j.1365-3040.2006.01550.x
   Yamori W, 2014, PHOTOSYNTH RES, V119, P101, DOI 10.1007/s11120-013-9874-6
   Yamori W, 2011, PLANT J, V68, P966, DOI 10.1111/j.1365-313X.2011.04747.x
   Yin XY, 2019, J EXP BOT, V70, P2435, DOI 10.1093/jxb/ery277
   Zuur Alain F., 2009, P1
NR 88
TC 190
Z9 201
U1 32
U2 459
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2019
VL 222
IS 2
BP 768
EP 784
DI 10.1111/nph.15668
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA HU7FK
UT WOS:000465446300016
PM 30597597
OA Green Submitted, Green Accepted, Bronze
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Kooyers, NJ
   Greenlee, AB
   Colicchio, JM
   Oh, M
   Blackman, BK
AF Kooyers, Nicholas J.
   Greenlee, Anna B.
   Colicchio, Jack M.
   Oh, Morgan
   Blackman, Benjamin K.
TI Replicate altitudinal clines reveal that evolutionary flexibility
   underlies adaptation to drought stress in annual <i>Mimulus guttatus</i>
SO NEW PHYTOLOGIST
LA English
DT Article
DE cline; dehydration avoidance; drought escape; evolution; flowering time;
   local adaptation; Mimulus guttatus (common monkeyflower); photoperiod
ID CARBON-ISOTOPE DISCRIMINATION; QUANTITATIVE TRAIT LOCI; WATER-USE
   EFFICIENCY; LEAF GAS-EXCHANGE; ARABIDOPSIS-THALIANA; FLOWERING TIME;
   POPULATION-STRUCTURE; GENETIC-VARIATION; MATING SYSTEM; ANNUAL PLANT
AB Examining how morphology, life history and physiology vary along environmental clines can reveal functional insight into adaptations to climate and thus inform predictions about evolutionary responses to global change. Widespread species occurring over latitudinal and altitudinal gradients in seasonal water availability are excellent systems for investigating multivariate adaptation to drought stress. Under common garden conditions, we characterized variation in 27 traits for 52 annual populations of Mimulus guttatus sampled from 10 altitudinal transects. We also assessed variation in the critical photoperiod for flowering and surveyed neutral genetic markers to control for demography when analyzing clinal patterns. Many drought escape (e.g. flowering time) and drought avoidance (e.g. specific leaf area, succulence) traits exhibited geographic or climatic clines, which often remained significant after accounting for population structure. Critical photoperiod and flowering time in glasshouse conditions followed distinct clinal patterns, indicating different aspects of seasonal phenology confer adaptation to unique agents of selection. Although escape and avoidance traits were negatively correlated range-wide, populations from sites with short growing seasons produced both early flowering and dehydration avoidance phenotypes. Our results highlight how abundant genetic variation in the component traits that build multivariate adaptations to drought stress provides flexibility for intraspecific adaptation to diverse climates.
C1 [Kooyers, Nicholas J.; Greenlee, Anna B.; Blackman, Benjamin K.] Univ Virginia, Dept Biol, Charlottesville, VA 22904 USA.
   [Colicchio, Jack M.] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA.
   [Oh, Morgan; Blackman, Benjamin K.] Duke Univ, Dept Biol, Durham, NC 27708 USA.
C3 University of Virginia; University of Kansas; Duke University
RP Blackman, BK (corresponding author), Univ Virginia, Dept Biol, Charlottesville, VA 22904 USA.
EM bkb2f@virginia.edu
OI Blackman, Benjamin/0000-0003-4936-6153
FU University of Virginia, a National Science Foundation Postdoctoral
   Fellowship in Biology [DBI-0905958]; National Science Foundation
   [IOS-1024966]; Division Of Integrative Organismal Systems; Direct For
   Biological Sciences [1024966] Funding Source: National Science
   Foundation
FX We thank E. Yang and A. Banerjee for phenotyping assistance; the Duke
   University Phytotron and Glasshouse staff for plant husbandry
   assistance; J. Willis for generous support; and the Blackman lab, S.
   Tonsor and three anonymous reviewers for thoughtful comments on previous
   versions of this manuscript. Funding support was provided by the
   University of Virginia, a National Science Foundation Postdoctoral
   Fellowship in Biology (DBI-0905958) to B.K.B., and a National Science
   Foundation grant (IOS-1024966) to J. Willis.
CR Ackerly D, 2004, ECOL MONOGR, V74, P25, DOI 10.1890/03-4022
   Ackerly DD, 2000, BIOSCIENCE, V50, P979, DOI 10.1641/0006-3568(2000)050[0979:TEOPET]2.0.CO;2
   Agrawal AA., 2010, Evolution After Darwin: The First 150 Years, eds, P242
   Anderson JT, 2014, HEREDITY, V112, P4, DOI 10.1038/hdy.2013.33
   [Anonymous], 1924, Ann. Missouri Botanic Garden, DOI DOI 10.2307/2394024
   [Anonymous], 2014, PACKAGE PSYCH PROCED
   [Anonymous], 2008, Global Aridity Index and PET Database v1 (Global_AI_PET_v1)
   Aspinwall MJ, 2013, NEW PHYTOL, V199, P966, DOI 10.1111/nph.12341
   Bates D., 2013, Linear mixed-effects models using S4 classes
   Blackman BK, 2011, MOL ECOL, V20, P3503, DOI 10.1111/j.1365-294X.2011.05166.x
   CRAUFURD PQ, 1991, FIELD CROP RES, V27, P301, DOI 10.1016/0378-4290(91)90038-W
   Crawford NG, 2010, MOL ECOL RESOUR, V10, P556, DOI 10.1111/j.1755-0998.2009.02801.x
   Dray S, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i04
   Dudley SA, 1996, EVOLUTION, V50, P92, DOI 10.1111/j.1558-5646.1996.tb04475.x
   Edwards CE, 2012, MOL PLANT, V5, P653, DOI 10.1093/mp/sss004
   Eggli U, 2009, BRADLEYA, V27, P13
   EHDAIE B, 1991, CROP SCI, V31, P1282, DOI 10.2135/cropsci1991.0011183X003100050040x
   EHLERINGER J, 1976, SCIENCE, V192, P376, DOI 10.1126/science.192.4237.376
   Endler J.A., 1986, Monographs in Population Biology, pviii
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   FARRIS MA, 1990, ECOLOGY, V71, P548, DOI 10.2307/1940308
   Fishman L, 2002, EVOLUTION, V56, P2138, DOI 10.1111/j.0014-3820.2002.tb00139.x
   Fonseca CR, 2000, J ECOL, V88, P964, DOI 10.1046/j.1365-2745.2000.00506.x
   Franks SJ, 2011, NEW PHYTOL, V190, P249, DOI 10.1111/j.1469-8137.2010.03603.x
   Friedman J, MOL ECOLOGY IN PRESS
   Friedman J, 2013, NEW PHYTOL, V199, P571, DOI 10.1111/nph.12260
   Galloway LF, 1995, EVOLUTION, V49, P1095, DOI 10.2307/2410434
   Geber MA, 1997, OECOLOGIA, V109, P535, DOI 10.1007/s004420050114
   GEBER MA, 1990, OECOLOGIA, V85, P153, DOI 10.1007/BF00319396
   Hall MC, 2010, MOL ECOL, V19, P2739, DOI 10.1111/j.1365-294X.2010.04680.x
   Hall MC, 2006, EVOLUTION, V60, P2466, DOI 10.1554/05-688.1
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Heschel MS, 2005, AM J BOT, V92, P37, DOI 10.3732/ajb.92.1.37
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holeski LM, 2010, AM NAT, V175, P391, DOI 10.1086/651300
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   Ivey CT, 2012, ANN BOT-LONDON, V109, P583, DOI 10.1093/aob/mcr160
   Kelly AJ, 1998, MOL ECOL, V7, P769, DOI 10.1046/j.1365-294x.1998.00328.x
   Kooyers NJ, 2013, HEREDITY, V111, P495, DOI 10.1038/hdy.2013.71
   Lee CR, 2013, MOL ECOL, V22, P2204, DOI 10.1111/mec.12250
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Lovell JT, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1043
   Lowry DB, 2008, EVOLUTION, V62, P2196, DOI 10.1111/j.1558-5646.2008.00457.x
   MacColl ADC, 2011, TRENDS ECOL EVOL, V26, P514, DOI 10.1016/j.tree.2011.06.009
   Masle J, 2005, NATURE, V436, P866, DOI 10.1038/nature03835
   McKay JK, 2003, MOL ECOL, V12, P1137, DOI 10.1046/j.1365-294X.2003.01833.x
   Méndez-Vigo B, 2011, PLANT PHYSIOL, V157, P1942, DOI 10.1104/pp.111.183426
   MENENDEZ CM, 1995, CROP SCI, V35, P673, DOI 10.2135/cropsci1995.0011183X003500030003x
   Mojica JP, 2012, MOL ECOL, V21, P3718, DOI 10.1111/j.1365-294X.2012.05662.x
   Moles AT, 2009, J ECOL, V97, P923, DOI 10.1111/j.1365-2745.2009.01526.x
   Montague JL, 2008, J EVOLUTION BIOL, V21, P234, DOI 10.1111/j.1420-9101.2007.01456.x
   Montesinos-Navarro A, 2011, NEW PHYTOL, V189, P282, DOI 10.1111/j.1469-8137.2010.03479.x
   Nesom GL., 2013, PHYTONEURON, V40, P1
   O'Brien C, 2011, MOL ECOL, V20, P2471, DOI 10.1111/j.1365-294X.2011.05133.x
   OAKESHOTT JG, 1982, EVOLUTION, V36, P86, DOI 10.1111/j.1558-5646.1982.tb05013.x
   Oneal E, 2014, MOL ECOL, V23, P2844, DOI 10.1111/mec.12778
   Pritchard JK, 2000, GENETICS, V155, P945
   REIMANN C, 1995, NEW PHYTOL, V130, P37, DOI 10.1111/j.1469-8137.1995.tb01812.x
   Roff DA, 1996, Q REV BIOL, V71, P3, DOI 10.1086/419266
   Roux F, 2006, TRENDS PLANT SCI, V11, P375, DOI 10.1016/j.tplants.2006.06.006
   Sherrard ME, 2009, EVOLUTION, V63, P702, DOI 10.1111/j.1558-5646.2008.00580.x
   Steiner CC, 2009, MOL BIOL EVOL, V26, P35, DOI 10.1093/molbev/msn218
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   TALBERT CM, 1957, ECOLOGY, V38, P655, DOI 10.2307/1943135
   van Kleunen M, 2007, EVOL ECOL, V21, P185, DOI 10.1007/s10682-006-0019-7
   Vickery RK., 1978, Evolutionary biology, V11, P405, DOI [DOI 10.1007/978-1-4615-6956-5_7, 10.1007/978-1-4615-6956-57, DOI 10.1007/978-1-4615-6956-57]
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wilczek AM, 2010, PHILOS T R SOC B, V365, P3129, DOI 10.1098/rstb.2010.0128
   Wolfe MD, 2014, NEW PHYTOL, V201, P323, DOI 10.1111/nph.12485
   WOODWARD FI, 1987, NATURE, V327, P617, DOI 10.1038/327617a0
   Wu CA, 2008, HEREDITY, V100, P220, DOI 10.1038/sj.hdy.6801018
   Wu CA, 2010, OECOLOGIA, V162, P23, DOI 10.1007/s00442-009-1448-0
   Zhen Y, 2008, NEW PHYTOL, V177, P419, DOI 10.1111/j.1469-8137.2007.02262.x
NR 74
TC 118
Z9 137
U1 6
U2 140
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2015
VL 206
IS 1
BP 152
EP 165
DI 10.1111/nph.13153
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA CC4TT
UT WOS:000350347500018
PM 25407964
OA Bronze
DA 2025-01-10
ER

PT J
AU Ermias, E
   Yami, A
   Rege, JEO
AF Ermias, E
   Yami, A
   Rege, JEO
TI Fat deposition in tropical sheep as adaptive attribute to periodic feed
   fluctuation
SO JOURNAL OF ANIMAL BREEDING AND GENETICS
LA English
DT Article
ID CARCASS COMPOSITION; BODY-COMPOSITION; BREEDS
AB Ruminants adapt to periodic fluctuation in feed resources by accumulating fat stores during favourable periods. Thus, genetic variations, among ruminant genotypes, in the capacity to deposit fat could be exploited through breeding to improve animal productivity in traditional tropical production systems. Based on this premise, breed differences among weights of principal adipose depots and total body fat were estimated in Menz (n = 303) and Horro (n = 151) sheep of Ethiopia. Animals were kept on supplemental feeding, for about 3.5 months, until slaughter at about 17 months of age and pre-slaughter live weight of 25 kg. Except the combined weight of tail and rump fat (TRF) which was similar (p > 0.05) in the two breeds, weights of subcutaneous and intermuscular fat (SIF), internal fat (IF) as well as total dissected body fat (TotDF), total ether-extracted body fat (TotEE) and TotFAT (TotDF plus 'residual' fat, fat recovered by ether-extraction from non-adipose tissues) were significantly (p < 0.01) higher in the Menz. TotDF, TotEE and TotFAT were 1.91 +/- 0.04, 2.05 +/- 0.06 and 2.64 +/- 0.06 kg, respectively, in the Menz and 1.50 +/- 0.05, 1.44 +/- 0.06 and 2.02 +/- 0.07 kg, respectively, in the Horro. Implications of breed differences in fat distribution among depots, and possible consequences of genetic improvement of some of the depots on adaptation to climatic and nutritional stresses as well as some production objectives are discussed.
C1 Int Livestock Res Inst, Addis Ababa, Ethiopia.
   Alemaya Univ, Dire Dawa, Ethiopia.
   Ethiopian Agr Res Org, Debre Zeit, Ethiopia.
C3 CGIAR; International Livestock Research Institute (ILRI); Haramaya
   University
RP Rege, JEO (corresponding author), Int Livestock Res Inst, Addis Ababa, Ethiopia.
CR *AOAC, 1984, OFF METH AN
   AZIZ NN, 1992, J ANIM SCI, V70, P3412, DOI 10.2527/1992.70113412x
   Ball AJ, 1996, LIVEST PROD SCI, V46, P173, DOI 10.1016/S0301-6226(96)00028-0
   Barton RA, 1997, NEW ZEAL J AGR RES, V40, P57, DOI 10.1080/00288233.1997.9513230
   BHAT PN, 1999, INTRO ANIMAL HUSBAND
   BOURFIA M, 1990, P 4 WORLD C GEN APPL, V15, P37
   COPPOCK DL, 1986, J AGR SCI-CAMBRIDGE, V107, P357, DOI 10.1017/S0021859600087165
   Ermias E., 2000, OPPORTUNITIES CHALLE, P196
   FARID A, 1991, SMALL RUMINANT RES, V5, P55
   GEAY Y, 1984, J ANIM SCI, V58, P766, DOI 10.2527/jas1984.583766x
   HOOD RL, 1973, J LIPID RES, V14, P605
   KEMPESTER AJ, 1980, MEAT SCI, V24, P83
   Kirton AH, 1998, NEW ZEAL J AGR RES, V41, P227, DOI 10.1080/00288233.1998.9513306
   MCCLELLAND TH, 1972, ANIM PROD, V15, P301, DOI 10.1017/S0003356100011569
   Negussie E., 2000, The Opportunities and Challenges of Enhancing Goat Production in East Africa, P151
   Orskov ER, 1998, SMALL RUMINANT RES, V28, P1, DOI 10.1016/S0921-4488(97)00042-4
   REILEY RR, 1989, SMALL RUMINANT RES, V2, P265
   *SAS, 1990, STAT AN SYST REL 6 1
   WEBSTER AJF, 1976, NATO ADV STUDY I SER, P267
   WOOD JD, 1980, ANIM PROD, V30, P135, DOI 10.1017/S0003356100023886
NR 20
TC 34
Z9 38
U1 0
U2 9
PU BLACKWELL VERLAG GMBH
PI BERLIN
PA KURFURSTENDAMM 57, D-10707 BERLIN, GERMANY
SN 0931-2668
J9 J ANIM BREED GENET
JI J. Anim. Breed. Genet.
PD AUG
PY 2002
VL 119
IS 4
BP 235
EP 246
DI 10.1046/j.1439-0388.2002.00344.x
PG 12
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 584JU
UT WOS:000177464100005
DA 2025-01-10
ER

PT J
AU Gautier, D
   Locatelli, B
   Corniaux, C
   Alary, V
AF Gautier, Denis
   Locatelli, Bruno
   Corniaux, Christian
   Alary, Veronique
TI Global changes, livestock and vulnerability: the social construction of
   markets as an adaptive strategy
SO GEOGRAPHICAL JOURNAL
LA English
DT Article
DE adaptive strategies; social construction of markets; livestock; climate
   change; land tenure; Sahel
ID CLIMATE-CHANGE; ADAPTATION STRATEGIES; MULTIPLE STRESSORS; SOUTH-AFRICA;
   WEST-AFRICA; DROUGHT; VARIABILITY; LESSONS; LIVELIHOODS; DYNAMICS
AB Nowadays, livestock producers in Sahel have to deal not only with climate variability but also with changes in land use and policies that restrict access to pasture and increase their vulnerability. At the same time, the growth of urban livestock markets both nationwide and in neighbouring countries is creating opportunities for producers. However, few studies have examined the role of markets in the adaptive strategies of livestock producers in West Africa, the changes in strategies for capturing market opportunities and the social interactions that lead to changes in market access and functioning. This paper addresses the question of how livestock producers and traders have transformed their producing and marketing strategies in response to climate variability and land access constraints. Our proposed conceptual framework on markets, vulnerability and adaptation considers that adaptive strategies include the social construction of markets through which market access is based on social networks and follows the norms and rules embedded in the complexity of these networks. This proactive strategy of stakeholders, through a socially constructed market access, allows traders to harness opportunities and livestock producers to adapt to climatic and land access constraints. We apply the framework in a case study in the region of Niono and Segou in the Niger Inner delta in Mali. Results show that livestock producers and traders have changed their livestock-raising and marketing strategies in response to the challenges faced by livestock producers and the emerging market opportunities. This study highlights the importance of considering the social construction of livestock market systems and marketing behaviours as adaptive strategies of livestock producers to multiple changes. Although livestock markets can support the adaptive strategies of several types of producers, their functioning as institutions has been understudied and scantily addressed in policy.
C1 [Gautier, Denis; Locatelli, Bruno] CIRAD, UPR BSEF, F-34398 Montpellier 5, France.
   [Gautier, Denis] CIFOR, West Africa Reg Off, 06 BP 9478, Ouagadougou 06, Burkina Faso.
   [Locatelli, Bruno] CIFOR, CIP, Ave La Molina 1895,Apartado Postal 1558, Lima 15024, Peru.
   [Corniaux, Christian; Alary, Veronique] CIRAD, UMR SELMET, F-34398 Montpellier 5, France.
   [Corniaux, Christian] ISRA, LNERV, Pole PPZS, BP 2057, Dakar, Senegal.
   [Alary, Veronique] ICARDA, GIZA, 11th Floor,15G Radwan Ibn El Tabib St,POB 2416, Cairo, Egypt.
C3 CIRAD; CGIAR; Center for International Forestry Research (CIFOR); CGIAR;
   International Potato Center (CIP); Center for International Forestry
   Research (CIFOR); CIRAD; CGIAR; International Center for Agricultural
   Research in the Dry Areas (ICARDA)
RP Gautier, D (corresponding author), CIRAD, UPR BSEF, F-34398 Montpellier 5, France.; Gautier, D (corresponding author), CIFOR, West Africa Reg Off, 06 BP 9478, Ouagadougou 06, Burkina Faso.
EM denis.gautier@cirad.fr; bruno.locatelli@cirad.fr;
   christian.corniaux@cirad.fr; veronique.alary@cirad.fr
RI Alary, Véronique/E-9032-2010; Locatelli, Bruno/C-9957-2009; Gautier,
   Denis/E-6924-2010
OI Locatelli, Bruno/0000-0003-2983-1644; Alary,
   Veronique/0000-0003-4844-5423; Gautier, Denis/0000-0001-7648-1881
FU CIRAD (ICARE project); AusAid [63650]; CRP-FTA (Consortium Research
   Program on Forests, Trees, and Agroforestry); ACFAO; French Global
   Environment Facility
FX This research received financial support from CIRAD (ICARE project
   coordinated by Guillaume Duteurtre), AusAid (Agreement 63650 with
   CIFOR), CRP-FTA (Consortium Research Program on Forests, Trees, and
   Agroforestry), and ACFAO (project funded by the French Global
   Environment Facility). We want to thank Matthew Turner, Thomas Bassett
   and two anonymous reviewers for their helpful comments on earlier
   versions of this paper.
CR Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148
   Adriansen HK, 2008, GEOGR J, V174, P207, DOI 10.1111/j.1475-4959.2008.00278.x
   Aker JC, 2010, J ECON PERSPECT, V24, P207, DOI 10.1257/jep.24.3.207
   Alary V, 2007, EVOLUTION MARCHES BO
   Alary V, 2011, WORLD DEV, V39, P1638, DOI 10.1016/j.worlddev.2011.02.008
   AMANOR KS, 1995, AFRICA, V65, P351, DOI 10.2307/1161051
   [Anonymous], 2007, SAT EJOURNAL
   [Anonymous], ADAPTATIONS NEEDS OP
   [Anonymous], 117 OV DEV I
   [Anonymous], 2006, IMPROVING LIVESTOCK
   Barbier B, 2009, ENVIRON MANAGE, V43, P790, DOI 10.1007/s00267-008-9237-9
   Batterbury S, 2001, GLOBAL ENVIRON CHANG, V11, P1, DOI 10.1016/S0959-3780(00)00040-6
   Benjamin CE, 2008, WORLD DEV, V36, P2255, DOI 10.1016/j.worlddev.2008.03.005
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bizimana J-C, 2011, 2011 ANN M 5 8 FEBR
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Brottem L, 2014, HUM ECOL, V42, P351, DOI 10.1007/s10745-014-9640-1
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Corniaux C, 2012, NOMAD PEOPLES, V16, P6, DOI 10.3167/np.2012.160203
   Dalton, 1962, MARKETS AFRICA, P335
   Dasgupta P, 2014, RURAL AREAS WORKING
   de Jode H., 2010, Modern and mobile: the future of livestock production in Africa's drylands
   Delgado C, 2001, OUTLOOK AGR, V30, P27, DOI 10.5367/000000001101293427
   Delgado C., 1980, Livestock and Meat Marketing in West Africa, vol. 3, VIII
   Djoudi H, 2013, REG ENVIRON CHANGE, V13, P493, DOI 10.1007/s10113-011-0262-5
   Eakin H, 2005, MT RES DEV, V25, P304, DOI 10.1659/0276-4741(2005)025[0304:MSACVT]2.0.CO;2
   Fafchamps M, 1998, J DEV ECON, V55, P273, DOI 10.1016/S0304-3878(98)00037-6
   Fernandez-Gimenez ME, 2006, INT J SUST DEV WORLD, V13, P341, DOI 10.1080/13504500609469685
   Fratkin E, 2003, HUM ORGAN, V62, P112, DOI 10.17730/humo.62.2.am1qpp36eqgxh3h1
   Gallais J, 1988, CAHIERS GEOGRAPHIQUE, V30, P35
   Gautier D, 2011, GEOFORUM, V42, P28, DOI 10.1016/j.geoforum.2010.08.008
   Granovetter M., 1973, American Journal of Sociology, P347, DOI [DOI 10.1086/225469, 10.1086/225469, 10.1016/B978-0-12-442450-0.50025-0]
   GREGOIRE E, 1997, SAHELS DIVERSITE DYN, P121
   Hobbs NT, 2008, GLOBAL ENVIRON CHANG, V18, P776, DOI 10.1016/j.gloenvcha.2008.07.011
   Ickowicz A, 2012, BUILDING RESILIENCE, P243
   Kabubo-Mariara J, 2008, NAT RESOUR FORUM, V32, P131, DOI 10.1111/j.1477-8947.2008.00178.x
   Kabubo-Mariara J, 2009, ECOL ECON, V68, P1915, DOI 10.1016/j.ecolecon.2009.03.002
   Kazianga H, 2006, J DEV ECON, V79, P413, DOI 10.1016/j.jdeveco.2006.01.011
   Klein R J T, 2014, ADAPTATION OPPORTUNI
   Lebert T, 2007, J ARID ENVIRON, V70, P818, DOI 10.1016/j.jaridenv.2006.03.023
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   MACAULAY S, 1963, AM SOCIOL REV, V28, P55, DOI 10.2307/2090458
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mertz O, 2011, ATMOS SCI LETT, V12, P104, DOI 10.1002/asl.314
   Mertz O, 2010, ECOL SOC, V15
   Moritz M, 2010, AGR HUM VALUES, V27, P119, DOI 10.1007/s10460-009-9203-z
   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
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   O'Brien K, 2009, ENVIRON SCI POLICY, V12, P23, DOI 10.1016/j.envsci.2008.10.008
   Olsson L, 2014, LIVELIHOODS POVERTY
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pedersen J, 2008, HUM ECOL, V36, P43, DOI 10.1007/s10745-007-9136-3
   Rass N., 2006, POLICIES STRATEGIES
   REARDON T, 1988, WORLD DEV, V16, P1065, DOI 10.1016/0305-750X(88)90109-X
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Ribot J., 2004, POLITICS CHOICE NATU
   Seville D., 2011, Under what conditions are value chains effective tools for pro-poor development
   Silva JA, 2010, GEOGR J, V176, P6, DOI 10.1111/j.1475-4959.2009.00343.x
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Tessema WK, 2014, AGRON SUSTAIN DEV, V34, P75, DOI 10.1007/s13593-013-0167-4
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   TRICART J, 1956, CAHIERS OUTRE MER, V35, P211
   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
   Turner MD, 2009, GEOFORUM, V40, P746, DOI 10.1016/j.geoforum.2009.04.002
   Turner MD, 2002, WORLD DEV, V30, P683, DOI 10.1016/S0305-750X(01)00133-4
   Turner MD, 2000, DEV CHANGE, V31, P1009, DOI 10.1111/1467-7660.00187
   Uzzi B, 1997, ADMIN SCI QUART, V42, P35, DOI 10.2307/2393808
   Yengoh GT, 2013, SUSTAINABILITY-BASEL, V5, P52, DOI 10.3390/su5010052
NR 71
TC 19
Z9 20
U1 2
U2 15
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0016-7398
EI 1475-4959
J9 GEOGR J
JI Geogr. J.
PD JUN
PY 2016
VL 182
IS 2
BP 153
EP 164
DI 10.1111/geoj.12115
PG 12
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA DX9UD
UT WOS:000384740500005
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Harms, NE
   Harlow, MM
   DeRossette, AB
   Knight, IA
AF Harms, Nathan E.
   Harlow, Megann M.
   DeRossette, A. Blake
   Knight, Ian A.
TI Intraspecific variation in rapid cold hardening and acclimation of the
   adventive parrot's feather weevil, Phytobius (=Parenthis) vestitus, in
   the southern USA
SO BIOLOGICAL CONTROL
LA English
DT Article
DE Biological control; Insect physiology; Invasive plant; Thermal
   tolerance; Thermal acclimation; Spatial variation
ID THERMAL TOLERANCE; CYRTOBAGOUS-SALVINIAE; COLEOPTERA-CURCULIONIDAE;
   PLASTICITY; POPULATIONS; INSECTS; RESPONSES; LATITUDE
AB Plasticity in thermal tolerance, expressed through acclimation or rapid cold hardening, for example, provides organisms with a mechanism to deal with unexpected and often rapid changes in the thermal environment. Spatial variation in response to high or low temperatures may occur due to evolutionary adaptation, particularly if a fitness increase coincides with the ability to respond quickly to environmental change. Thermal tolerances of beneficial insects used for biological control dictate where and under what thermal conditions the insects will provide value to management programs. We investigated two aspects of thermal phenotypic plasticity in response to thermal conditions using four populations of the adventive parrot's feather weevil, Phytobius vestitus, from the southern USA. At low temperatures, we determined the presence and variation in rapid cold hardening in one of the four populations using two temperature ramping rates. In contrast, at high temperatures, all P. vestitus populations displayed a significant heat acclimation response, documented as elevated loss of motor control and motor function temperatures after acclimation. Thus, observed patterns of plasticity differed between high and low temperatures and among source populations. These results demonstrate the presence of geographic variation in phenotypic plasticity in response to thermal environments and emphasizes the need to consider plasticity when selecting climate-adapted populations of biological control agents.
C1 [Harms, Nathan E.; Harlow, Megann M.] US Army Engineer Res & Dev Ctr, Aquat Ecol & Invas Species Branch, 201 E Jones St, Lewisville, TX 75057 USA.
   [DeRossette, A. Blake; Knight, Ian A.] US Army Engineer Res & Dev Ctr, Aquat Ecol & Invas Species Branch, 3909 Halls Ferry Rd, Vicksburg, MS 39180 USA.
C3 United States Department of Defense; United States Army; U.S. Army Corps
   of Engineers; U.S. Army Engineer Research & Development Center (ERDC);
   Lewisville Aquatic Ecosystem Research Facility (LAERF); United States
   Department of Defense; United States Army; U.S. Army Corps of Engineers;
   U.S. Army Engineer Research & Development Center (ERDC)
RP Harms, NE (corresponding author), US Army Engineer Res & Dev Ctr, Aquat Ecol & Invas Species Branch, 201 E Jones St, Lewisville, TX 75057 USA.
EM Nathan.E.Harms@erdc.dren.mil
FU US Army Engineer Research and Development Center Aquatic Plant Control
   Research Program
FX We would like to thank Rodrigo Diaz, Carlos Wiggins, Russell Malahy,
   Caitlin Strickland, Andre Le Van, Phil Weyl, Laureline Humair, and Alice
   Messina. We would like to thank Denise Lindsay and Chris-topher Mudge
   for review of this manuscript. This research was funded by the US Army
   Engineer Research and Development Center Aquatic Plant Control Research
   Program under management of Michael Greer.
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   Allen JL, 2014, BIOCONTROL, V59, P357, DOI 10.1007/s10526-014-9570-2
   Allen JL, 2012, J INSECT PHYSIOL, V58, P669, DOI 10.1016/j.jinsphys.2012.01.016
   Amundrud SL, 2020, GLOBAL ECOL BIOGEOGR, V29, P1315, DOI 10.1111/geb.13106
   Bale JS, 2002, PHILOS T R SOC B, V357, P849, DOI 10.1098/rstb.2002.1074
   Bates AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1958
   Bennett S, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0550
   Borenstein M., 2021, Introduction to meta-analysis
   Bowler K, 2005, J THERM BIOL, V30, P125, DOI 10.1016/j.jtherbio.2004.09.001
   Buckingham G. R., 1981, Investigation of two insect species for control of Eurasian watermilfoil
   Chidawanyika F, 2020, BIOL CONTROL, V149, DOI 10.1016/j.biocontrol.2020.104315
   Chidawanyika F, 2011, J INSECT PHYSIOL, V57, P108, DOI 10.1016/j.jinsphys.2010.09.013
   Colado R, 2022, ECOLOGY, V103, DOI 10.1002/ecy.3629
   Colinet H, 2015, ANNU REV ENTOMOL, V60, P123, DOI 10.1146/annurev-ento-010814-021017
   Colonnelli E., 2004, Catalogue of Ceutorhynchinae of the world, with a key to genera. (Insecta: Coleoptera: Curculionidae)
   Cossins A., 2012, Temperature biology of animals
   Diamond SE, 2017, INTEGR COMP BIOL, V57, P112, DOI 10.1093/icb/icx008
   Duffy GA, 2015, CURR OPIN INSECT SCI, V11, P84, DOI 10.1016/j.cois.2015.09.013
   Fallis LC, 2014, J EVOLUTION BIOL, V27, P557, DOI 10.1111/jeb.12321
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Griffith TC, 2019, ENTOMOL EXP APPL, V167, P616, DOI 10.1111/eea.12814
   Guralnick RP, 2023, COMMUN BIOL, V6, DOI 10.1038/s42003-023-04873-4
   Harms NE, 2021, INSECTS, V12, DOI 10.3390/insects12060549
   Harms NE, 2020, BIOL CONTROL, V151, DOI 10.1016/j.biocontrol.2020.104398
   Hazell SP, 2011, J INSECT PHYSIOL, V57, P1085, DOI 10.1016/j.jinsphys.2011.04.004
   Käfer H, 2020, INSECTS, V11, DOI 10.3390/insects11030197
   Kelly MW, 2017, FUNCT ECOL, V31, P398, DOI 10.1111/1365-2435.12725
   Kingsolver JG, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0386
   Knight IA, 2023, ENTOMOL EXP APPL, V171, P1019, DOI 10.1111/eea.13301
   Knight IA, 2022, BIOCONTROL, V67, P443, DOI 10.1007/s10526-022-10143-9
   Ma CS, 2021, ANNU REV ENTOMOL, V66, P163, DOI 10.1146/annurev-ento-041520-074454
   McGAHA Y. J., 1954, TRANS AMER MICROSC SOC, V73, P277, DOI 10.2307/3224069
   Nyamukondiwa C, 2011, J EVOLUTION BIOL, V24, P1927, DOI 10.1111/j.1420-9101.2011.02324.x
   Obeysekara P.T., 2015, Environmental. Entomology
   Overgaard J, 2017, ANNU REV PHYSIOL, V79, P187, DOI 10.1146/annurev-physiol-022516-034142
   Payne NL, 2017, ECOL LETT, V20, P70, DOI 10.1111/ele.12707
   Pessina A, 2024, BIOL CONTROL, V192, DOI 10.1016/j.biocontrol.2024.105509
   Reddy AM, 2019, BIOL CONTROL, V128, P85, DOI 10.1016/j.biocontrol.2018.09.016
   Rogers DJ, 2021, ECOL ENTOMOL, V46, P138, DOI 10.1111/een.12935
   Roketenetz L. D., 2015, Investigation of interand intraspecific genetic variability of Euhrychiopsis lecontei, a biological control agent for the management of Eurasian watermilfoil
   Russell A, 2017, BIOL CONTROL, V107, P41, DOI 10.1016/j.biocontrol.2017.01.010
   Sehnal F., 1991, P149
   Sgrò CM, 2016, ANNU REV ENTOMOL, V61, P433, DOI 10.1146/annurev-ento-010715-023859
   Smith MC, 2018, BIOCONTROL SCI TECHN, V28, P293, DOI 10.1080/09583157.2018.1441371
   Sunday JM, 2012, NAT CLIM CHANGE, V2, P686, DOI 10.1038/NCLIMATE1539
   Sunday JM, 2011, P ROY SOC B-BIOL SCI, V278, P1823, DOI 10.1098/rspb.2010.1295
   Teets NM, 2020, J EXP BIOL, V223, DOI 10.1242/jeb.203448
   Tonione MA, 2020, ECOL EVOL, V10, P4749, DOI 10.1002/ece3.6229
   Weaving H, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32953-2
NR 49
TC 0
Z9 0
U1 3
U2 3
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 1049-9644
EI 1090-2112
J9 BIOL CONTROL
JI Biol. Control
PD DEC
PY 2024
VL 199
AR 105651
DI 10.1016/j.biocontrol.2024.105651
EA NOV 2024
PG 8
WC Biotechnology & Applied Microbiology; Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Entomology
GA M2K0N
UT WOS:001355866600001
OA gold
DA 2025-01-10
ER

PT J
AU Chaves, HML
   da Silva, CC
   Fonseca, MRS
AF Chaves, Henrique Marinho Leite
   da Silva, Camila Correa
   Fonseca, Maria Rita Souza
TI Reservoir Reliability as Affected by Climate Change and Strategies for
   Adaptation
SO WATER
LA English
DT Article
DE reservoir reliability; climate change; operation; adaptation
ID WATER-RESOURCES; CHANGE IMPACTS; RIVER; STREAMFLOW; OPERATION;
   PRECIPITATION; MANAGEMENT; EXTREMES; INFLOW; RUNOFF
AB Reservoir operational reliability indicates how satisfactorily the structure meets the water demand without failure. However, due to the stochastic nature of its operation, every combination of reservoir storage capacity and draft has an associated probability of failure (i.e., of having an empty reservoir). The objectives of this research were to design a method to assess reservoir reliability under present and future climate conditions, and to apply it to the Descoberto reservoir, with a capacity of 86 hm(3) and a design draft of 182.9 hm(3) yr(-1), located in central Brazil. The scenarios were the historic (1986-2005) and future RCM projection ensembles (2031-2050 and 2061-2080, RCP 4.5 and 8.5). Projected runoff was obtained with the Gardner model, and the reservoir budget was assessed by the concatenated behavior analysis (CBA). The reliability of the Descoberto reservoir, which was 100% during the historic period, was reduced to 15-50%, depending on the future climate scenario analyzed. The proposed adaptive measures, involving the reduction of reservoir draft and the increase in reservoir storage, were capable of maintaining a 100% reservoir reliability under the new climatic conditions, but with associated costs. The proposed method can be applied to other upstream reservoirs, providing water managers and stakeholders with a simple and robust reliability assessment and climate adaptation tool.
C1 [Chaves, Henrique Marinho Leite; da Silva, Camila Correa] Univ Brasilia UnB, Sch Technol, EFL, BR-70910900 Brasilia, Brazil.
   [Fonseca, Maria Rita Souza] Univ Brasilia UnB, Geog Dept, BR-70910900 Brasilia, Brazil.
C3 Universidade de Brasilia; Universidade de Brasilia
RP Chaves, HML (corresponding author), Univ Brasilia UnB, Sch Technol, EFL, BR-70910900 Brasilia, Brazil.
EM hchaves@unb.br; camilacsilva@live.com
OI Souza Fonseca, Maria Rita/0000-0002-6312-8218
FU GRAPHIC-LAC/UNESCO Program
FX The authors acknowledge the sharing of RCM climate data by the Federal
   District Secretariat of the Environment-SEMA/DF, and the support of the
   GRAPHIC-LAC/UNESCO Program.
CR Ahmadi M, 2015, WATER RESOUR MANAG, V29, P1247, DOI 10.1007/s11269-014-0871-0
   [Anonymous], 2005, Water Encyclopedia, DOI DOI 10.1002/047147844X.SW434
   Bustamante MMC, 2012, BRAZ J BIOL, V72, P655, DOI 10.1590/S1519-69842012000400005
   CARTY JG, 1990, J INST WATER ENV MAN, V4, P35
   Cassagnole M, 2021, HYDROL EARTH SYST SC, V25, P1033, DOI 10.5194/hess-25-1033-2021
   Chaves HML, 2019, J HYDROL-REG STUD, V26, DOI 10.1016/j.ejrh.2019.100641
   Cheng WM, 2017, WATER-SUI, V9, DOI 10.3390/w9060424
   Chou S., 2014, Am J Clim Change, V3, P438, DOI [DOI 10.4236/AJCC.2014.35039, 10.4236/ajcc.2014.35039]
   Cloke HL, 2009, J HYDROL, V375, P613, DOI 10.1016/j.jhydrol.2009.06.005
   Cloke HL, 2013, Q J ROY METEOR SOC, V139, P282, DOI 10.1002/qj.1998
   Mateus MC, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000742, 10.1061/(asce)wr.1943-5452.0000742]
   Dahmen E.R., 1990, SCREENING HYDROLOGIC
   Dau QV, 2020, WATER RESOUR+, V47, P189, DOI 10.1134/S009780782002013X
   Dey P, 2017, J HYDROL, V548, P278, DOI 10.1016/j.jhydrol.2017.03.014
   Dorchies D, 2014, INT J RIVER BASIN MA, V12, P265, DOI 10.1080/15715124.2013.865636
   Ehsani N, 2017, J HYDROL, V555, P435, DOI 10.1016/j.jhydrol.2017.09.008
   Gardner LR, 2009, J HYDROL, V379, P351, DOI 10.1016/j.jhydrol.2009.10.021
   Gudmundsson L, 2012, HYDROL EARTH SYST SC, V16, P3383, DOI 10.5194/hess-16-3383-2012
   Güntner A, 2004, HYDROLOG SCI J, V49, P901, DOI 10.1623/hysj.49.5.901.55139
   Nguyen H, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026022
   Ijam A.Z., 2021, INT J APPL ENG RES, V16, P94
   Jager HI, 2008, RIVER RES APPL, V24, P340, DOI 10.1002/rra.1069
   Jain SK, 2008, HYDROLOG SCI J, V53, P434, DOI 10.1623/hysj.53.2.434
   JAKEMAN AJ, 1993, WATER RESOUR RES, V29, P2637, DOI 10.1029/93WR00877
   Johnson F, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010464
   Koutsoyiannis D, 2003, HYDROLOG SCI J, V48, P3, DOI 10.1623/hysj.48.1.3.43481
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Legates DR, 1999, WATER RESOUR RES, V35, P233, DOI 10.1029/1998WR900018
   Liu XC, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5a3a
   Machiwal D., 2006, J. Hydrol. Hydromech, V54, P237
   MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
   Mimikou MA, 1997, HYDROLOG SCI J, V42, P661, DOI 10.1080/02626669709492065
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nagy I.V., 2002, PRATICAL DESIGN CONC, VVolume 5
   Nash E., 1970, IT IS NOT ONLY ESSEN, V10, P282, DOI DOI 10.1016/0022-1694(70)90255-6
   Naz BS, 2018, J HYDROL, V556, P359, DOI 10.1016/j.jhydrol.2017.11.027
   Ouyang Y, 2022, CLIMATE, V10, DOI 10.3390/cli10070096
   Papamichail DM, 2001, J AM WATER RESOUR AS, V37, P877, DOI 10.1111/j.1752-1688.2001.tb05519.x
   Prudhomme C, 2009, CLIMATIC CHANGE, V93, P177, DOI 10.1007/s10584-008-9464-3
   Rodrigues JAM, 2020, INT J CLIMATOL, V40, P2511, DOI 10.1002/joc.6347
   Salas J.D., 1992, HDB HYDROLOGY
   Singh D, 2013, J GEOPHYS RES-ATMOS, V118, P7063, DOI 10.1002/jgrd.50543
   Todd MC, 2011, HYDROL EARTH SYST SC, V15, P1035, DOI 10.5194/hess-15-1035-2011
   Vicuna S, 2007, J AM WATER RESOUR AS, V43, P482, DOI 10.1111/j.1752-1688.2007.00038.x
   Vogel RM, 1998, WATER RESOUR RES, V34, P3445, DOI 10.1029/98WR02523
   Wallis R., 1973, HYDROL SCI J, V18, P347, DOI [10.1080/02626667309494046, DOI 10.1080/02626667309494046]
   Wang XX, 2021, INT J CLIMATOL, V41, P278, DOI 10.1002/joc.6620
   Wang ZY, 2009, INT J SEDIMENT RES, V24, P369, DOI 10.1016/S1001-6279(10)60011-X
   Wilby RL, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004065
   Xu CY, 2004, WATER RESOUR MANAG, V18, P591, DOI 10.1007/s11269-004-9130-0
   Xu ZX, 2002, WATER RESOUR MANAG, V16, P239, DOI 10.1023/A:1020206826669
   Zakizadeh HR, 2021, J WATER CLIM CHANGE, V12, P82, DOI 10.2166/wcc.2020.089
NR 52
TC 4
Z9 4
U1 0
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUL
PY 2023
VL 15
IS 13
AR 2323
DI 10.3390/w15132323
PG 18
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA M5WL8
UT WOS:001030918600001
OA gold
DA 2025-01-10
ER

PT J
AU Tombe, R
   Smuts, H
AF Tombe, Ronald
   Smuts, Hanlie
TI Agricultural Social Networks: An Agricultural Value Chain-Based
   Digitalization Framework for an Inclusive Digital Economy
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE resilience principles; climate adaptation; agricultural big data;
   society 5.0; inclusivity; internet of things; artificial intelligence;
   sustainability
ID BIG DATA; RESILIENCE; CHALLENGE; RISE
AB Sustainable agriculture is the backbone of food security systems and a driver of human well-being in global economic development (Sustainable Development Goal SDG 3). With the increase in world population and the effects of climate change due to the industrialization of economies, food security systems are under pressure to sustain communities. This situation calls for the implementation of innovative solutions to increase and sustain efficacy from farm to table. Agricultural social networks (ASNs) are central in agriculture value chain (AVC) management and sustainability and consist of a complex network inclusive of interdependent actors such as farmers, distributors, processors, and retailers. Hence, social network structures (SNSs) and practices are a means to contextualize user scenarios in agricultural value chain digitalization and digital solutions development. Therefore, this research aimed to unearth the roles of agricultural social networks in AVC digitalization, enabling an inclusive digital economy. We conducted automated literature content analysis followed by the application of case studies to develop a conceptual framework for the digitalization of the AVC toward an inclusive digital economy. Furthermore, we propose a transdisciplinary framework that guides the digitalization systematization of the AVC, while articulating resilience principles that aim to attain sustainability. The outcomes of this study offer software developers, agricultural stakeholders, and policymakers a platform to gain an understanding of technological infrastructure capabilities toward sustaining communities through digitalized AVCs.
C1 [Tombe, Ronald] Univ Pretoria, Future Africa Campus,South St,Koedoespoort 456 Jr, ZA-0186 Pretoria, South Africa.
   [Tombe, Ronald] Kisii Univ, Comp Sci Dept, Kisii 40840200, Kenya.
   [Smuts, Hanlie] Univ Pretoria, Dept Informat, ZA-0083 Pretoria, South Africa.
C3 University of Pretoria; University of Pretoria
RP Tombe, R (corresponding author), Univ Pretoria, Future Africa Campus,South St,Koedoespoort 456 Jr, ZA-0186 Pretoria, South Africa.; Tombe, R (corresponding author), Kisii Univ, Comp Sci Dept, Kisii 40840200, Kenya.; Smuts, H (corresponding author), Univ Pretoria, Dept Informat, ZA-0083 Pretoria, South Africa.
EM ronaldtombe@kisiiuniversity.ac.ke; hanlie.smuts@up.ac.za
RI Smuts, Hanlie/T-3075-2019; Tombe, Ronald/ABH-5235-2020
OI Tombe, Ronald/0000-0002-0765-2947; Smuts, Hanlie/0000-0001-7120-7787
FU Future Africa Research Leader Fellowship (FAR-LeaF) Programme at the
   University of Pretoria [G-20-57628]
FX This research was funded by [Future Africa Research Leader Fellowship
   (FAR-LeaF) Programme at the University of Pretoria]. And The APC was
   funded by [Future Africa Research Leader Fellowship (FAR-LeaF) Programme
   at the University of Pretoria]. Grant number: G-20-57628.
CR Abdul-Rahaman A, 2020, AFR DEV REV, V32, P216, DOI 10.1111/1467-8268.12429
   Abid M, 2017, CLIMATE, V5, DOI 10.3390/cli5040085
   Aboah J, 2019, SUPPLY CHAIN MANAG, V24, P271, DOI 10.1108/SCM-05-2018-0204
   Agusdinata DB, 2022, SUSTAIN SCI, V17, P1589, DOI 10.1007/s11625-022-01128-9
   Ahmad M, 2021, CHINA ECON J, V14, P291, DOI 10.1080/17538963.2021.1882064
   Albizua A, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244619
   Albizua A, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01676-9
   Alvi M, 2021, AGR SYST, V188, DOI 10.1016/j.agsy.2020.103035
   Amiri-Zarandi M, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12060838
   Ballantyne P, 2010, CROP SCI, V50, pS63, DOI 10.2135/cropsci2009.09.0527
   Ben-Daya M., 2020, Quality management journal, V28, P17, DOI DOI 10.1080/10686967.2020.1838978
   Bengtsson M., 2016, PLAN PERFORM QUALITA, V2, P8, DOI [DOI 10.1016/J.NPLS.2016.01.001, 10.1016/j.npls.2016.01.001]
   Benos L, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21113758
   Biroscak BJ, 2017, SOC MARK Q, V23, P223, DOI 10.1177/1524500417700826
   Cao KY, 2020, IEEE ACCESS, V8, P85714, DOI 10.1109/ACCESS.2020.2991734
   Coble KH, 2018, APPL ECON PERSPECT P, V40, P79, DOI 10.1093/aepp/ppx056
   de Oliveira M.E., 2020, P 2020 22 S VIRT AUG
   Deepa S., 2022, MATH STAT ENG APPL, V71, P855
   Deguchi A., 2020, Society, V5, P1, DOI [10.1007/978-981-15-2989-4, DOI 10.1007/978-981-15-2989-4, 10.1007/978-981-15-2989-4_1, DOI 10.1007/978-981-15-2989-4_1]
   El Bilali Hamid, 2018, Information Processing in Agriculture, V5, P456, DOI 10.1016/j.inpa.2018.06.006
   Fabregas R, 2019, SCIENCE, V366, P1328, DOI 10.1126/science.aay3038
   Friha O, 2021, IEEE-CAA J AUTOMATIC, V8, P718, DOI 10.1109/JAS.2021.1003925
   Fukuyama M., 2018, JAPAN SPOTLIGHT, V27, P47
   Garske B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094652
   Guetterman TC, 2018, J MED INTERNET RES, V20, DOI 10.2196/jmir.9702
   Hajro A, 2023, ACAD MANAG DISCOV, V9, P125, DOI 10.5465/amd.2022.0058
   Halmi A, 1996, INT SOC WORK, V39, P363, DOI 10.1177/002087289603900403
   Harding J., 2008, QUALITATIVE DATA ANA
   Hermans F, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169634
   Hori M, 2010, FUJITSU SCI TECH J, V46, P446
   Hrustek L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208596
   Huang YB, 2018, J INTEGR AGR, V17, P1915, DOI 10.1016/S2095-3119(17)61859-8
   Hurst W, 2021, SMART CITIES-BASEL, V4, P1454, DOI 10.3390/smartcities4040077
   Iaksch J, 2021, J MANAG ANAL, V8, P333, DOI 10.1080/23270012.2021.1897957
   Iftekhar A, 2020, J FOOD QUALITY, V2020, DOI 10.1155/2020/5385207
   Javaid M., 2022, Int J Intell Networks, V3, P150, DOI [10.1016/j.ijin.2022.09.004, DOI 10.1016/J.IJIN.2022.09.004]
   Jiang H, 2022, MANAGE ORGAN REV, V18, P790, DOI 10.1017/mor.2022.32
   Kauffmann E, 2020, IND MARKET MANAG, V90, P523, DOI 10.1016/j.indmarman.2019.08.003
   Kaur H, 2021, BENCHMARKING, V28, P1740, DOI 10.1108/BIJ-12-2018-0431
   Kiconco S, 2023, J AGRIC EDUC EXT, V29, P679, DOI 10.1080/1389224X.2022.2131585
   Kim D, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061008
   Kittipanya-ngam P, 2020, PROD PLAN CONTROL, V31, P158, DOI 10.1080/09537287.2019.1631462
   Klerkx L, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.100315
   Kong XJ, 2019, J NETW COMPUT APPL, V132, P86, DOI 10.1016/j.jnca.2019.01.029
   Koromila I, 2022, SAFETY SCI, V146, DOI 10.1016/j.ssci.2021.105565
   Krippendorff K., 2018, CONTENT ANAL INTRODU, V4
   Krishnan R, 2021, RESOUR CONSERV RECY, V168, DOI 10.1016/j.resconrec.2020.105253
   Kuckartz U, 2019, ICME-13 MONOGR, P181, DOI 10.1007/978-3-030-15636-7_8
   Kuckartz Udo, 2014, QUALITATIVE TEXT ANA, DOI DOI 10.4135/9781446288719
   Kumari S, 2023, INT J LOGIST MANAG, V34, P280, DOI 10.1108/IJLM-04-2021-0247
   Kusakina O., 2020, ROLE DIGITAL TECHNOL
   Lachaud MA, 2022, AGR ECON-BLACKWELL, V53, P321, DOI 10.1111/agec.12682
   Levy MA, 2018, REG ENVIRON CHANGE, V18, P1235, DOI 10.1007/s10113-017-1258-6
   Liakos KG, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18082674
   Lioutas ED, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.04.003
   Madumidha S., 2019, 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). Proceedings, P983, DOI 10.1109/ICOEI.2019.8862726
   Maleksaeidi H, 2013, AGROECOL SUST FOOD, V37, P262, DOI 10.1080/10440046.2012.746767
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Mamai O.V., 2020, DIGITIZATION AGR SEC
   Ciruela-Lorenzo AM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041325
   Mavrodieva AV, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051893
   Misra NN, 2022, IEEE INTERNET THINGS, V9, P6305, DOI 10.1109/JIOT.2020.2998584
   Moore HL, 2019, CITY SOC, V31, P275, DOI 10.1111/ciso.12208
   Mugwika P.K., 2019, ASSESSMENT IMPACTS C
   Rojas CN, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126567
   Nemchenko Aleksandr V., 2022, Smart Innovation in Agriculture. Smart Innovation, Systems and Technologies (264), P37, DOI 10.1007/978-981-16-7633-8_5
   Norton GW, 2020, APPL ECON PERSPECT P, V42, P8, DOI 10.1002/aepp.13008
   Nunez-Mir GC, 2016, METHODS ECOL EVOL, V7, P1262, DOI 10.1111/2041-210X.12602
   O'Grady MJ, 2019, ARTIF INTELL AGR, V3, P42, DOI 10.1016/j.aiia.2019.12.001
   Pérez-Escoda A, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17145261
   Prawiti A., 2017, Journal of Economic Structures, V6, DOI [DOI 10.1186/S40008-017-0069-8, 10.1186/S40008-017-0069-8/TABLES/9, DOI 10.1186/S40008-017-0069-8/TABLES/9, 10.1186/s40008-017-0069-8]
   Prayitno G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141912487
   Qin TY, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12020297
   Raheem D, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9080168
   Rejeb A, 2020, INTERNET THINGS-NETH, V12, DOI 10.1016/j.iot.2020.100318
   Roblek V, 2020, DATA-BASEL, V5, DOI 10.3390/data5030080
   Rolandi S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095172
   Rouhani BD, 2015, INFORM SOFTWARE TECH, V62, P1, DOI 10.1016/j.infsof.2015.01.012
   Sarker M.N.I., 2019, P 2019 2 INT C ART I
   Satalkina L, 2022, KYBERNETES, V51, P219, DOI 10.1108/K-02-2022-0255
   Shadrin D, 2020, IEEE T INSTRUM MEAS, V69, P4103, DOI 10.1109/TIM.2019.2947125
   Shi WS, 2016, IEEE INTERNET THINGS, V3, P637, DOI 10.1109/JIOT.2016.2579198
   Smith AE, 2006, BEHAV RES METHODS, V38, P262, DOI 10.3758/BF03192778
   Smuts H, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116878
   Soares ND, 2023, IEEE ACCESS, V11, P8422, DOI 10.1109/ACCESS.2023.3237984
   Sobaih AE, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095195
   Sonka S., 2016, Journal of Innovation Management, V4, P114
   Soto-Acosta P, 2020, INFORM SYST MANAGE, V37, P260, DOI 10.1080/10580530.2020.1814461
   Stewart BM, 2009, SMALL WAR INSUR, V20, P319, DOI 10.1080/09592310902975455
   Tang CSS, 2022, PROD OPER MANAG, V31, P32, DOI 10.1111/poms.13349
   Tantalaki N, 2019, J AGRIC FOOD INF, V20, P344, DOI 10.1080/10496505.2019.1638264
   Templier M, 2015, COMMUN ASSOC INF SYS, V37, P112
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   Tombe R, 2020, 2020 IST-AFRICA CONFERENCE (IST-AFRICA)
   Vroegindewey R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040916
   Watson M, 2005, LECT NOTES ARTIF INT, V3683, P1232
   Wei W, 2010, IEEE T KNOWL DATA EN, V22, P1028, DOI 10.1109/TKDE.2009.122
   Williams L. D., 2021, International Journal of Intelligent Networks, V2, P122, DOI [10.1016/j.ijin.2021.09.002, DOI 10.1016/J.IJIN.2021.09.002]
   Woodard J, 2016, AGRIC FINANCE REV, V76, P15, DOI 10.1108/AFR-03-2016-0018
   Yadav S, 2022, OPER MANAGE RES, V15, P1, DOI 10.1007/s12063-020-00164-x
   Yikilmaz I., 2020, DATA INFORM KNOWLEDG, P85
   Yin R. K., 2009, CASE STUDY RES DESIG
   Zhong YP, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111761
NR 103
TC 6
Z9 6
U1 17
U2 55
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD MAY 23
PY 2023
VL 13
IS 11
AR 6382
DI 10.3390/app13116382
PG 20
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA I8UO4
UT WOS:001005481500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Rodriguez-Ramirez, EC
   Ruiz-Santiago, D
   Requena-Rojas, EJ
   Longhi-Santos, T
   Suarez-Islas, A
   Luna-Vega, I
AF Rodriguez-Ramirez, E. C.
   Ruiz-Santiago, D.
   Requena-Rojas, E. J.
   Longhi-Santos, T.
   Suarez-Islas, A.
   Luna-Vega, I.
TI Assessing the drought effect on tree rings' width and xylem traits
   plasticity in<i> Symplocos</i><i> coccinea</i> and<i> S.</i><i>
   speciosa:</i> two rare and endemic Neotropical montane oak forest trees
   from eastern Mexico
SO TREES-STRUCTURE AND FUNCTION
LA English
DT Article
DE Climate crisis; Dendroecology; Wood anatomy; Drought-growth
   relationship; Neotropical montane cloud forest; Vessel traits
ID WOOD ANATOMY; CLIMATE; GROWTH; RESPONSES; L.; DENDROCHRONOLOGY;
   BIODIVERSITY; VARIABILITY; SENSITIVITY; NORTH
AB Key messageMexican Neotropical Symplocos species showed different wood anatomical climate adaptations and can help identify the effect of drought on relict-rare and endemic tree species.Neotropical montane oak forests are exceptionally biodiverse with rich assemblages of relict-endemic species promoting endemism hotbeds. These ecosystems are threatened by climate change, such as drought events and a decrease in fog and drizzle periods. We used dendroecological and wood anatomical tools to assess the effect of historical drought events on annual growth rings and vessel anatomical traits of Symplocos coccinea and S. speciosa, two rare relict-endemic tree species occurring in the Neotropical montane oak forest understory layer. Xylem vessel anatomical traits are essential for assessing and predicting tree-climate response to hydric availability. We analyzed vessel lumen area, diameter, and frequency in the growth rings developed in drought and non-drought years in both Symplocos species. We found that summer temperatures between May and August affect the annual growth. Finally, our analyses demonstrated that high xylem plasticity allowed rapid hydraulic architecture adjustments to drought events, suggesting an essential role of diffuse-porous wood in Neotropical trees to adapt to actual climatic variations. The studied chronologies allow reconstruction of climate variations in the Neotropical montane oak forest from eastern Mexico.
C1 [Rodriguez-Ramirez, E. C.; Requena-Rojas, E. J.] Univ Continental, Lab Dendrocronol, Ave San Carlos 1980, Huancayo, Peru.
   [Ruiz-Santiago, D.; Luna-Vega, I.] Univ Nacl Autonoma Mexico, Fac Ciencias, Dept Biol Evolut, Lab Biogeog & Sistemat, Mexico City, Mexico.
   [Longhi-Santos, T.] Univ Fed Parana, Dept Zootecnia, UFPR, Curitiba, Brazil.
   [Suarez-Islas, A.] Univ Autonoma Estado Hidalgo, Inst Ciencias Agr, Mexico City 43600, Mexico.
C3 Universidad Continental; Universidad Nacional Autonoma de Mexico;
   Universidade Federal do Parana; Universidad Autonoma del Estado de
   Hidalgo
RP Luna-Vega, I (corresponding author), Univ Nacl Autonoma Mexico, Fac Ciencias, Dept Biol Evolut, Lab Biogeog & Sistemat, Mexico City, Mexico.
EM luna.isolda@gmail.com
RI Luna-Vega, Isolda/X-3043-2018; Requena-Rojas, Edilson/HTP-2385-2023;
   Rodriguez Ramirez, Ernesto Chanes/AAC-5187-2020
OI Rodriguez Ramirez, Ernesto Chanes/0000-0001-6206-8615; Requena Rojas,
   Edilson Jimmy/0000-0002-0653-587X; Suarez Islas,
   Alfonso/0000-0002-3315-321X
FU DGAPA PAPIIT [IN223218]; CONACYT
FX The first author acknowledges the financial support granted by the
   postdoctoral fellowship CONACYT 2019-2020. The DGAPA PAPIIT IN223218
   project funded this research. We are grateful to Ian Gardner for his
   English correction.
CR Abrantes J, 2013, TREES-STRUCT FUNCT, V27, P655, DOI 10.1007/s00468-012-0820-6
   Aguilar-Rodríguez S, 2006, TREES-STRUCT FUNCT, V20, P253, DOI 10.1007/s00468-005-0007-5
   Alcantara-Ayala O., 1997, Anales del Instituto de Biologia, V68, P57
   [Anonymous], 2001, TreeRing Research
   Arenas-Navarro M, 2021, AOB PLANTS, V13, DOI 10.1093/aobpla/plab066
   Arlot S, 2010, STAT SURV, V4, P40, DOI 10.1214/09-SS054
   BARAJASMORALES J, 1985, IAWA BULL, V6, P355, DOI 10.1163/22941932-90000962
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
   Bunn AG, 2008, DENDROCHRONOLOGIA, V26, P115, DOI 10.1016/j.dendro.2008.01.002
   CARLQUIST S, 1977, AM J BOT, V64, P887, DOI 10.2307/2442382
   Rodríguez-Ramírez EC, 2019, TREES-STRUCT FUNCT, V33, P23, DOI 10.1007/s00468-018-1755-3
   Rodríguez-Ramírez EC, 2018, TREE-RING RES, V74, P94, DOI 10.3959/1536-1098-74.1.94
   Cook E.R., 1986, Users Manual for Program ARSTAN, in Tree-Ring Chronologies of Western North America: California, eastern Oregon and northern Great Basin, P50
   Cuapio-Hernández L, 2022, REV CHAPINGO SER CIE, V28, P139, DOI 10.5154/r.rchscfa.2021.07.045
   Engelbrecht BMJ, 2007, NATURE, V447, P80, DOI 10.1038/nature05747
   Fang JY, 2006, J BIOGEOGR, V33, P1804, DOI 10.1111/j.1365-2699.2006.01533.x
   Fontes CG, 2022, FUNCT ECOL, V36, P326, DOI 10.1111/1365-2435.13964
   Fonti P, 2013, PLANT BIOLOGY, V15, P210, DOI 10.1111/j.1438-8677.2012.00599.x
   Fonti P, 2010, NEW PHYTOL, V185, P42, DOI 10.1111/j.1469-8137.2009.03030.x
   García-González I, 2006, TREE PHYSIOL, V26, P1289, DOI 10.1093/treephys/26.10.1289
   Gareca EE, 2010, BIODIVERS CONSERV, V19, P1839, DOI 10.1007/s10531-010-9807-z
   Ghimire B, 2020, KOREAN J PLANT TAXON, V50, P333, DOI 10.11110/kjpt.2020.50.3.333
   Gonzaalez-Espinosa M., 2011, The red list of Mexican cloud forest trees
   Hacke UG, 2001, PERSPECT PLANT ECOL, V4, P97, DOI 10.1078/1433-8319-00017
   Hacket-Pain AJ, 2015, TREE PHYSIOL, V35, P319, DOI 10.1093/treephys/tpv007
   Hintze JL, 1998, AM STAT, V52, P181, DOI 10.2307/2685478
   Holwerda F, 2010, J HYDROL, V384, P84, DOI 10.1016/j.jhydrol.2010.01.012
   Hostettler Silvia, 2002, Bois et Forets des Tropiques, P19
   Jiménez-García D, 2019, REV MEX BIODIVERS, V90, DOI 10.22201/ib.20078706e.2019.90.2781
   Kapelle, 2006, ECOLOGY CONSERVATION, DOI [10.1007/3-540-28909-7, DOI 10.1007/3-540-28909-7]
   Kelly LM, 2016, PHYTOTAXA, V264, P1, DOI 10.11646/phytotaxa.264.1.1
   Lourenco J Jr, 2022, NEW PHYTOL, V234, P50, DOI 10.1111/nph.17944
   Vega IL, 2006, BIODIVERS CONSERV, V15, P3773, DOI 10.1007/s10531-005-5401-1
   Martínez-Cabrera HI, 2008, REV PALAEOBOT PALYNO, V150, P154, DOI 10.1016/j.revpalbo.2008.01.010
   Mooney CZ., 1993, Bootstrapping: A nonparametric approach to statistical inference, DOI DOI 10.4135/9781412983532
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Pearse IS, 2014, OIKOS, V123, P179, DOI 10.1111/j.1600-0706.2013.00608.x
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Ponette-González AG, 2010, GLOBAL CHANGE BIOL, V16, P946, DOI 10.1111/j.1365-2486.2009.01985.x
   Poorter L, 2017, GLOBAL ECOL BIOGEOGR, V26, P1423, DOI 10.1111/geb.12668
   Rahbek C, 2019, SCIENCE, V365, P1114, DOI 10.1126/science.aax0151
   Rauscher SA, 2008, CLIM DYNAM, V31, P551, DOI 10.1007/s00382-007-0359-1
   Rita A, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01126
   Rita A, 2015, TREE PHYSIOL, V35, P817, DOI 10.1093/treephys/tpv055
   Rodriguez-Ramirez EC., 2020, LATIN AM DENDROECOLO, P3, DOI [10.1007/978-3-030-36930-9_1, DOI 10.1007/978-3-030-36930-9_1]
   Rodríguez-Ramírez EC, 2020, J PLANT ECOL, V13, P331, DOI 10.1093/jpe/rtaa019
   Rodríguez-Ramírez EC, 2020, FORESTS, V11, DOI 10.3390/f11070737
   Rozas V, 2005, ANN FOREST SCI, V62, P209, DOI 10.1051/forest:2005012
   Rozas V, 2015, AGR FOREST METEOROL, V201, P153, DOI 10.1016/j.agrformet.2014.11.012
   Schousboe Arne, 2013, Front Endocrinol (Lausanne), V4, P102, DOI 10.3389/fendo.2013.00102
   Singh C, 2022, GLOBAL CHANGE BIOL, V28, P2930, DOI 10.1111/gcb.16115
   Slik JWF, 2018, P NATL ACAD SCI USA, V115, P1837, DOI 10.1073/pnas.1714977115
   Speer B. J. H., 2010, FUNDAMENTALS TREE RI, DOI [10.1002/gea.20357, DOI 10.1002/GEA.20357]
   Stahle DW, 2016, QUATERNARY SCI REV, V149, P34, DOI 10.1016/j.quascirev.2016.06.018
   Stokes M.A.T.L. Smiley., 1996, INTRO TREE RING DATI
   Strubbe, 2013, VARIATION WOOD DENSI
   Terrazas T, 2008, INTERCIENCIA, V33, P46
   Vega IL, 1999, J BIOGEOGR, V26, P1299, DOI 10.1046/j.1365-2699.1999.00361.x
   Venegas-González A, 2016, THEOR APPL CLIMATOL, V123, P233, DOI 10.1007/s00704-014-1351-4
   Villalba R, 2011, DEV PALEOENVIRON RES, V11, P175, DOI 10.1007/978-1-4020-5725-0_7
   Voelker SL, 2012, ECOL MONOGR, V82, P169, DOI 10.1890/11-0848.1
   von Arx G, 2012, ANN BOT-LONDON, V109, P1091, DOI 10.1093/aob/mcs030
   Wertz EL, 2013, WATER RESOUR RES, V49, P630, DOI 10.1029/2012WR012900
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2
NR 65
TC 9
Z9 9
U1 1
U2 18
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0931-1890
EI 1432-2285
J9 TREES-STRUCT FUNCT
JI Trees-Struct. Funct.
PD APR
PY 2023
VL 37
IS 2
BP 555
EP 566
DI 10.1007/s00468-022-02371-4
EA DEC 2022
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA F7VQ6
UT WOS:000914660600003
DA 2025-01-10
ER

PT J
AU Potterf, M
   Svitok, M
   Mezei, P
   Jarcuska, B
   Jakus, R
   Blazenec, M
   Hlásny, T
AF Potterf, Maria
   Svitok, Marek
   Mezei, Pavel
   Jarcuska, Benjamin
   Jakus, Rastislav
   Blazenec, Miroslav
   Hlasny, Tomas
TI Contrasting Norway spruce disturbance dynamics in managed forests and
   strict forest reserves in Slovakia
SO FORESTRY
LA English
DT Article
ID BEETLE IPS-TYPOGRAPHUS; NATURAL DISTURBANCES; LANDSCAPE DYNAMICS;
   OUTBREAK DYNAMICS; BIALOWIEZA FOREST; BIODIVERSITY; DRIVERS; ACCURACY;
   PATTERNS; REGIMES
AB Forest disturbances are intensifying globally, yet regional drivers of these dynamics remain poorly understood. We investigated recent disturbance intensities in Norway spruce (Picea abies L.) forests in Slovakia (Central Europe) with different management objectives in 2000-2017 based on Landsat imagery. We focused on 122 strict reserves without any management, their actively managed surroundings (500 m and 2000 m buffers), and managed production forests beyond the buffer areas. We used generalized additive mixed models to test for differences in temporal trends of disturbance intensity among these management categories. We found that disturbance intensity was increasing in all management categories during the studied period. The increase was more pronounced in the managed forests (compound annual disturbance rate 1.76% year(-1)) and the 2000 m buffer (2.21% year(-1)) than in the strict reserves (0.58% year(-1)). The predicted cumulative disturbance during the 18-year period was 9.9% in the reserves and 30.5% in the 2000 m buffer. We found that forests in nature reserves can be more resistant to disturbances than forests managed for timber production, despite management efforts to control disturbances in managed forests. Our findings can help reconcile the different perceptions of natural disturbances and their management in Central Europe and support climate-adapted management strategies that consider natural disturbances as an indispensable component of ecosystem dynamics.
C1 [Potterf, Maria] Univ Jyvaskyla, Dept Biol & Environm Sci, POB 35, Jyvaskyla 40014, Finland.
   [Potterf, Maria] Tech Univ Munich, Dept Life Sci Syst, Hans Carl Von Carlowitz Pl 2, D-85354 Freising Weihenstephan, Bavaria, Germany.
   [Svitok, Marek] Tech Univ Zvolen, Fac Ecol & Environm Sci, Dept Biol & Gen Ecol, TG Masaryka 24, Zvolen 96001, Slovakia.
   [Svitok, Marek] Univ South Bohemia, Dept Ecosystem Biol, Fac Sci, Braniovsko 1760, Ceske Budejovice 37005, Czech Republic.
   [Mezei, Pavel; Jarcuska, Benjamin; Jakus, Rastislav; Blazenec, Miroslav] Slovak Acad Sci, Inst Forest Ecol, L Stura 2, Zvolen 96001, Slovakia.
   [Jakus, Rastislav; Hlasny, Tomas] Czech Univ Life Sci, Fac Forestry & Wood Sci, ETM, Kamycka 1176,6 Suchdol, Prague 16521, Czech Republic.
C3 University of Jyvaskyla; Technical University of Munich; Technical
   University Zvolen; University of South Bohemia Ceske Budejovice; Slovak
   Academy of Sciences; Czech University of Life Sciences Prague
RP Potterf, M (corresponding author), Univ Jyvaskyla, Dept Biol & Environm Sci, POB 35, Jyvaskyla 40014, Finland.; Potterf, M (corresponding author), Tech Univ Munich, Dept Life Sci Syst, Hans Carl Von Carlowitz Pl 2, D-85354 Freising Weihenstephan, Bavaria, Germany.
EM maria.potterf@gmail.com; svitok@tuzvo.sk; pavel.mezei@outlook.com;
   benjamin.jarcuska@gmail.com; rasti.jakus@gmail.com; blazenec@ife.sk;
   hlasny@fld.czu.cz
RI Mezei, Pavel/Q-5206-2017; Jarčuška, Benjamín/F-9574-2011; Jakus,
   Rastislav/AAD-9324-2019; Svitok, Marek/A-4843-2013; Blazenec,
   Miroslav/AAD-4479-2019; Potterf, Maria/AAF-7851-2019; Hlásny,
   Tomáš/AAE-5476-2019
OI Blazenec, Miroslav/0000-0001-9743-614X; Svitok,
   Marek/0000-0003-2710-8102
FU Stefan Schwarz fund of the Slovak Academy of Sciences; Slovak Research
   and Development Agency, Slovakia [APVV15-0761, APVV19-0606,
   APVV-18-0347]; Grant Agency of the Ministry of Education and the Slovak
   Academy of Sciences [VEGA 02/0076/19]; ERDF [ITMS 313011 1721];
   Operational Programme Research, Development and Education (OP RDE)
   [EVA4.0, CZ.02.1.01/0.0/0.0/16_019/0000803]
FX Stefan Schwarz fund of the Slovak Academy of Sciences; by the Slovak
   Research and Development Agency, Slovakia (APVV15-0761, APVV19-0606,
   APVV-18-0347, APVV-18-0347); by the Grant Agency of the Ministry of
   Education and the Slovak Academy of Sciences under contract VEGA
   02/0076/19; by the Operational Programme Integrated Infrastructure
   (OPII) funded by the ERDF (ITMS 313011 1721) and by the Operational
   Programme Research, Development and Education (OP RDE) (Grant EVA4.0,
   CZ.02.1.01/0.0/0.0/16_019/0000803).
CR Albrich K, 2021, J VEG SCI, V32, DOI 10.1111/jvs.13052
   Albrich K, 2020, GLOBAL CHANGE BIOL, V26, P4013, DOI 10.1111/gcb.15118
   Anonymous, 2002, ZAKON OCHRANE PRIROD
   [Anonymous], 2019, REPORT FOREST SECTOR
   [Anonymous], 2010, ADV GEOINFORMATION T
   Aszalós R, 2022, ECOL APPL, V32, DOI 10.1002/eap.2596
   Baayen RH, 2018, QUANT METH HUMAN SOC, P49, DOI 10.1007/978-3-319-69830-4_4
   Barka I, 2018, CENT EURO FOR J, V64, P259, DOI 10.1515/forj-2017-0051
   Blicharska M, 2015, FOREST POLICY ECON, V57, P22, DOI 10.1016/j.forpol.2015.04.003
   Bosela M, 2021, SCI TOTAL ENVIRON, V752, DOI 10.1016/j.scitotenv.2020.141794
   Breidenbach J, 2022, ANN FOREST SCI, V79, DOI 10.1186/s13595-022-01120-4
   Brockerhoff EG, 2017, BIODIVERS CONSERV, V26, P3005, DOI 10.1007/s10531-017-1453-2
   Bryant T, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00056
   Bucha T., 1998, ACTA I, V9, P65
   Büntgen U, 2021, NAT GEOSCI, V14, P190, DOI 10.1038/s41561-021-00698-0
   Cada V, 2016, FOREST ECOL MANAG, V363, P169, DOI 10.1016/j.foreco.2015.12.023
   Chen SJ, 2021, REMOTE SENS ENVIRON, V265, DOI 10.1016/j.rse.2021.112648
   Core Team R., 2019, R: A language and environment for statistical computing
   de Groot M, 2019, FOREST ECOL MANAG, V433, P467, DOI 10.1016/j.foreco.2018.11.025
   Dobor L, 2020, ECOL EVOL, V10, P12233, DOI 10.1002/ece3.6854
   Dobor L, 2020, J APPL ECOL, V57, P67, DOI 10.1111/1365-2664.13518
   Dolezal J, 2020, OIKOS, V129, P1692, DOI 10.1111/oik.07379
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   Duraciová R, 2020, IFOREST, V13, P215, DOI 10.3832/ifor3271-013
   Erfanifard Y, 2019, FOREST ECOL MANAG, V437, P87, DOI 10.1016/j.foreco.2019.01.035
   ESRI, 2011, ArcGIS Desktop: Release 10
   Fernandez-Carrillo A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213634
   Ferrari SLP, 2004, J APPL STAT, V31, P799, DOI 10.1080/0266476042000214501
   Gubka A., 2014, VETROVA KALAMITA ZOF, P1
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Havasova M, 2015, ANN FOR RES, V58, P295
   Havasová M, 2017, FOREST ECOL MANAG, V391, P349, DOI 10.1016/j.foreco.2017.01.009
   Hlásny T, 2021, FOREST ECOL MANAG, V490, DOI 10.1016/j.foreco.2021.119075
   Hlásny T, 2021, CURR FOR REP, V7, P138, DOI 10.1007/s40725-021-00142-x
   Ibáñez I, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0222207
   Janda P, 2017, FOREST ECOL MANAG, V388, P67, DOI 10.1016/j.foreco.2016.08.014
   Kameniar O, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118647
   Kausrud K, 2012, BIOL REV, V87, P34, DOI 10.1111/j.1469-185X.2011.00183.x
   Kautz M, 2014, ECOL MODEL, V273, P264, DOI 10.1016/j.ecolmodel.2013.11.022
   Kautz M, 2013, EUR J FOREST RES, V132, P453, DOI 10.1007/s10342-013-0685-2
   Kortmann M, 2021, BIOL CONSERV, V254, DOI 10.1016/j.biocon.2020.108931
   Kunca A, 2019, CENT EURO FOR J, V65, P3, DOI 10.2478/forj-2019-0007
   Kuuluvainen T, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.629020
   Leverkus AB, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdc5a
   Leverkus AB, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118721
   Leverkus AB, 2018, CAN J FOREST RES, V48, P983, DOI 10.1139/cjfr-2018-0114
   Lindenmayer D, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-016-0031
   Marini L, 2017, ECOGRAPHY, V40, P1426, DOI 10.1111/ecog.02769
   Marini L, 2012, CLIMATIC CHANGE, V115, P327, DOI 10.1007/s10584-012-0463-z
   Meddens AJH, 2014, FOREST ECOL MANAG, V322, P78, DOI 10.1016/j.foreco.2014.02.037
   Meigs GW, 2017, FOREST ECOL MANAG, V406, P410, DOI 10.1016/j.foreco.2017.07.051
   Meng R, 2022, REMOTE SENS ENVIRON, V269, DOI 10.1016/j.rse.2021.112847
   Mezei P, 2012, ANN FOR RES, V55, P243
   Mikolás M, 2019, FOREST ECOL MANAG, V449, DOI 10.1016/j.foreco.2019.117466
   Montano V, 2016, FOREST ECOL MANAG, V360, P195, DOI 10.1016/j.foreco.2015.10.037
   Mori AS, 2017, J APPL ECOL, V54, P1627, DOI 10.1111/1365-2664.12888
   Nikolov C, 2014, MT RES DEV, V34, P326, DOI 10.1659/MRD-JOURNAL-D-13-00017.1
   Okland B, 2016, FOREST ECOL MANAG, V363, P63, DOI 10.1016/j.foreco.2015.12.007
   Olofsson P, 2014, REMOTE SENS ENVIRON, V148, P42, DOI 10.1016/j.rse.2014.02.015
   Olofsson P, 2013, REMOTE SENS ENVIRON, V129, P122, DOI 10.1016/j.rse.2012.10.031
   Palahi M, 2021, NATURE, V592, pE15, DOI 10.1038/s41586-021-03292-x
   Roberge JM, 2016, AMBIO, V45, pS109, DOI 10.1007/s13280-015-0747-4
   Sabatini FM, 2020, DIVERS DISTRIB, V26, P1646, DOI 10.1111/ddi.13158
   Schelhaas MJ, 2003, GLOBAL CHANGE BIOL, V9, P1620, DOI 10.1046/j.1365-2486.2003.00684.x
   Schiebe C, 2011, J APPL ENTOMOL, V135, P726, DOI 10.1111/j.1439-0418.2011.01624.x
   Seidl R, 2020, ECOGRAPHY, V43, P967, DOI 10.1111/ecog.04995
   Seidl R, 2011, GLOBAL CHANGE BIOL, V17, P2842, DOI 10.1111/j.1365-2486.2011.02452.x
   Senf C, 2021, NAT SUSTAIN, V4, P63, DOI 10.1038/s41893-020-00609-y
   Senf C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07539-6
   Senf C, 2018, GLOBAL CHANGE BIOL, V24, P1201, DOI 10.1111/gcb.13897
   Senf C, 2017, ISPRS J PHOTOGRAMM, V130, P453, DOI 10.1016/j.isprsjprs.2017.07.004
   Senf C, 2017, INT J APPL EARTH OBS, V60, P49, DOI 10.1016/j.jag.2017.04.004
   Smit IPJ, 2017, ECOSYST SERV, V28, P238, DOI 10.1016/j.ecoser.2017.05.003
   Sommerfeld A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06788-9
   Stadelmann G, 2013, FOREST ECOL MANAG, V305, P273, DOI 10.1016/j.foreco.2013.06.003
   Sterner T, 2019, NAT SUSTAIN, V2, P14, DOI 10.1038/s41893-018-0194-x
   Turner MG, 2010, ECOLOGY, V91, P2833, DOI 10.1890/10-0097.1
   van Rij J., 2020, itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs (Version 4.1.3) Computer software
   Vasishth S., 2017, CAVE SHADOWS ADDRESS, DOI [10.1016/j.jml.2016.11.006, DOI 10.1016/J.JML.2016.11.006]
   Vladovi J., 1994, LESNE OBLASTI SLOVEN
   Watson JEM, 2014, NATURE, V515, P67, DOI 10.1038/nature13947
   Wegensteiner R., 2015, NATURAL ENEMIES BARK
   Wermelinger B, 2004, FOREST ECOL MANAG, V202, P67, DOI 10.1016/j.foreco.2004.07.018
   White TCR, 2015, J APPL ENTOMOL, V139, P567, DOI 10.1111/jen.12195
   Winter MB, 2015, EUR J FOREST RES, V134, P949, DOI 10.1007/s10342-015-0901-3
   Wood S.N., 2017, Generalized Additive Models: An Introduction with R, V2nd edn.
   Wood SN, 2013, BIOMETRIKA, V100, P221, DOI 10.1093/biomet/ass048
   Wulder M., 2005, REMOTE SENSING SURVE
   Yachi S, 1999, P NATL ACAD SCI USA, V96, P1463, DOI 10.1073/pnas.96.4.1463
   Yue S, 2002, HYDROL PROCESS, V16, P1807, DOI 10.1002/hyp.1095
   Zhang QH, 2003, OIKOS, V101, P299, DOI 10.1034/j.1600-0706.2003.111595.x
   Zimová S, 2020, FOREST ECOL MANAG, V475, DOI 10.1016/j.foreco.2020.118408
NR 92
TC 8
Z9 8
U1 1
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 MAY 5
PY 2023
VL 96
IS 3
BP 387
EP 398
DI 10.1093/forestry/cpac045
EA NOV 2022
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA N6FW7
UT WOS:000882554200001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Marcos-Barbero, EL
   Pérez, P
   Martínez-Carrasco, R
   Arellano, JB
   Morcuende, R
AF Marcos-Barbero, Emilio L.
   Perez, Pilar
   Martinez-Carrasco, Rafael
   Arellano, Juan B.
   Morcuende, Rosa
TI Screening for Higher Grain Yield and Biomass among Sixty Bread Wheat
   Genotypes Grown under Elevated CO<sub>2</sub> and High-Temperature
   Conditions
SO PLANTS-BASEL
LA English
DT Article
DE climate change; elevated CO2; high temperature; grain yield; biomass;
   bread wheat; genotypes
ID ATMOSPHERIC CARBON-DIOXIDE; SOURCE-SINK RELATIONS; TRITICUM-AESTIVUM L.;
   PHOTOSYNTHETIC ACCLIMATION; PHYSIOLOGICAL TRAITS; STOMATAL-CONDUCTANCE;
   GENETIC GAINS; HEAT-STRESS; FLORET DEVELOPMENT; DOWN-REGULATION
AB Global warming will inevitably affect crop development and productivity, increasing uncertainty regarding food production. The exploitation of genotypic variability can be a promising approach for selecting improved crop varieties that can counteract the adverse effects of future climate change. We investigated the natural variation in yield performance under combined elevated CO2 and high-temperature conditions in a set of 60 bread wheat genotypes (59 of the 8TH HTWSN CIMMYT collection and Gazul). Plant height, biomass production, yield components and phenological traits were assessed. Large variations in the selected traits were observed across genotypes. The CIMMYT genotypes showed higher biomass and grain yield when compared to Gazul, indicating that the former performed better than the latter under the studied environmental conditions. Principal component and hierarchical clustering analyses revealed that the 60 wheat genotypes employed different strategies to achieve final grain yield, highlighting that the genotypes that can preferentially increase grain and ear numbers per plant will display better yield responses under combined elevated levels of CO2 and temperature. This study demonstrates the success of the breeding programs under warmer temperatures and the plants' capacity to respond to the concurrence of certain environmental factors, opening new opportunities for the selection of widely adapted climate-resilient wheat genotypes.
C1 [Marcos-Barbero, Emilio L.; Perez, Pilar; Martinez-Carrasco, Rafael; Arellano, Juan B.; Morcuende, Rosa] CSIC, Inst Nat Resources & Agrobiol Salamanca IRNASA, Salamanca 37008, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Instituto
   de Recursos Naturales y Agrobiologia de Salamanca (IRNASA)
RP Morcuende, R (corresponding author), CSIC, Inst Nat Resources & Agrobiol Salamanca IRNASA, Salamanca 37008, Spain.
EM emiliol.marcos@irnasa.csic.es; pili2013@gmail.com;
   rafael.mcarrasco@gmail.com; juan.arellano@irnasa.csic.es;
   rosa.morcuende@irnasa.csic.es
RI Perez, Pilar/B-4948-2010; Arellano, Juan B./D-7174-2013; Morcuende,
   Rosa/B-3741-2016; Martinez-Carrasco, Rafael/A-9454-2008
OI Arellano, Juan B./0000-0001-8677-8697; Morcuende,
   Rosa/0000-0002-1662-3961; Marcos Barbero, Emilio
   Luis/0000-0001-5649-2401; Martinez-Carrasco, Rafael/0000-0002-0263-1602
FU Spanish National R&D&I Plan of the Ministry of Economy and
   Competitiveness [AGL2013-41363-R, AGL2016-79589-R]; Ministry of Science
   and Innovation [PID2019-107154RB-100]; Junta de Castilla y Leon
   [E-372017-0066125, CSI083U16, CSI260P20]; European Regional Development
   Fund, ERDF; Junta de Castilla y Leon; European Union (ERDF "Europe
   drives our growth")
FX This research was supported by the Spanish National R&D&I Plan of the
   Ministry of Economy and Competitiveness (Projects AGL2013-41363-R and
   AGL2016-79589-R) and Ministry of Science and Innovation (Project
   PID2019-107154RB-100), as well as the regional government, the Junta de
   Castilla y Leon (Projects CSI083U16 and CSI260P20), with European
   Regional Development Fund, ERDF. Project "CLU-2019-05-IRNASA/CSIC Unit
   of Excellence", funded by the Junta de Castilla y Leon and co-financed
   by the European Union (ERDF "Europe drives our growth"). E.L.
   Marcos-Barbero was the recipient of a pre-doctoral contract from the
   Junta de Castilla y Leon (E-372017-0066125).
CR Abdelrahman M, 2020, J EXP BOT, V71, P543, DOI 10.1093/jxb/erz296
   Acreche MM, 2006, FIELD CROP RES, V98, P52, DOI 10.1016/j.fcr.2005.12.005
   Ainsworth EA, 2004, AGR FOREST METEOROL, V122, P85, DOI 10.1016/j.agrformet.2003.09.002
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   Ainsworth EA, 2021, GLOBAL CHANGE BIOL, V27, P27, DOI 10.1111/gcb.15375
   [Anonymous], 2014, IPCC CLIMATE CHANGE
   [Anonymous], 2011, The World Wheat Book: A History of Wheat Breeding
   [Anonymous], NOAA ESRL TRENDS ATM
   Aranjuelo I, 2011, J EXP BOT, V62, P3957, DOI 10.1093/jxb/err095
   Araus JL, 2008, CRIT REV PLANT SCI, V27, P377, DOI 10.1080/07352680802467736
   ARP WJ, 1991, PLANT CELL ENVIRON, V14, P869, DOI 10.1111/j.1365-3040.1991.tb01450.x
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Bergkamp B, 2018, FIELD CROP RES, V222, P143, DOI 10.1016/j.fcr.2018.03.009
   Bourgault M, 2013, FUNCT PLANT BIOL, V40, P172, DOI 10.1071/FP12193
   Cai C, 2016, GLOBAL CHANGE BIOL, V22, P856, DOI 10.1111/gcb.13065
   Canevara M. G., 1994, European Journal of Agronomy, V3, P175, DOI 10.1016/S1161-0301(14)80081-6
   Carlisle E, 2012, FRONT PLANT SCI, V3, DOI 10.3389/fpls.2012.00195
   Córdoba J, 2015, PLANT SCI, V239, P15, DOI 10.1016/j.plantsci.2015.07.011
   De la Puente LS, 2000, AGROCHIMICA, V44, P221
   Del Pozo A, 2005, PLANT SCI, V169, P908, DOI 10.1016/j.plantsci.2005.06.009
   Del Pozo A, 2007, ENVIRON EXP BOT, V59, P371, DOI 10.1016/j.envexpbot.2006.04.009
   del Pozo A, 2014, ENVIRON EXP BOT, V103, P180, DOI 10.1016/j.envexpbot.2013.09.016
   Djanaguiraman M, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-02479-0
   Dreccer MF, 2013, J EXP BOT, V64, P143, DOI 10.1093/jxb/ers317
   Driever SM, 2014, J EXP BOT, V65, P4959, DOI 10.1093/jxb/eru253
   Duggan BL, 2005, AUST J AGR RES, V56, P169, DOI 10.1071/AR04152
   Dupont FM, 2006, EUR J AGRON, V25, P96, DOI 10.1016/j.eja.2006.04.003
   Erbs M, 2010, AGR ECOSYST ENVIRON, V136, P59, DOI 10.1016/j.agee.2009.11.009
   Erice G, 2019, J CEREAL SCI, V87, P194, DOI 10.1016/j.jcs.2019.03.012
   Farooq M, 2011, CRIT REV PLANT SCI, V30, P491, DOI 10.1080/07352689.2011.615687
   Fernando N, 2014, AGR ECOSYST ENVIRON, V185, P24, DOI 10.1016/j.agee.2013.11.023
   Fitzgerald GJ, 2016, GLOBAL CHANGE BIOL, V22, P2269, DOI 10.1111/gcb.13263
   Foulkes MJ, 2011, J EXP BOT, V62, P469, DOI 10.1093/jxb/erq300
   González FG, 2005, FUNCT PLANT BIOL, V32, P189, DOI 10.1071/FP04104
   Gourdji SM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2190
   Gutiérrez D, 2013, J PLANT PHYSIOL, V170, P1337, DOI 10.1016/j.jplph.2013.05.006
   Gutiérrez D, 2009, PHYSIOL PLANTARUM, V137, P86, DOI 10.1111/j.1399-3054.2009.01256.x
   Gutiérrez E, 2009, J PLANT GROWTH REGUL, V28, P349, DOI 10.1007/s00344-009-9102-y
   Hatfield JL, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00224
   Högy P, 2013, ENVIRON EXP BOT, V88, P11, DOI 10.1016/j.envexpbot.2011.12.007
   Högy P, 2009, PLANT BIOLOGY, V11, P60, DOI 10.1111/j.1438-8677.2009.00230.x
   Högy P, 2008, J CEREAL SCI, V48, P580, DOI 10.1016/j.jcs.2008.01.006
   Hoegy P, 2019, J AGRON CROP SCI, V205, P608, DOI 10.1111/jac.12345
   Högy P, 2010, J CEREAL SCI, V52, P215, DOI 10.1016/j.jcs.2010.05.009
   Husson F, 2010, Technical Report, DOI DOI 10.2478/V10037-010
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   Liu B, 2016, NAT CLIM CHANGE, V6, P1130, DOI 10.1038/NCLIMATE3115
   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, 2004, ANNU REV PLANT BIOL, V55, P591, DOI 10.1146/annurev.arplant.55.031903.141610
   Lopes MS, 2012, CROP SCI, V52, P1123, DOI 10.2135/cropsci2011.09.0467
   Makino A, 1999, PLANT CELL PHYSIOL, V40, P999, DOI 10.1093/oxfordjournals.pcp.a029493
   Marcos-Barbero EL, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10061043
   Cossani CM, 2012, PLANT PHYSIOL, V160, P1710, DOI 10.1104/pp.112.207753
   Martínez-Carrasco R, 2005, ENVIRON EXP BOT, V54, P49, DOI 10.1016/j.envexpbot.2004.05.004
   Miralles DJ, 1998, FIELD CROP RES, V59, P21, DOI 10.1016/S0378-4290(98)00103-8
   MIRALLES DJ, 1995, FIELD CROP RES, V43, P55, DOI 10.1016/0378-4290(95)00041-N
   Mondal S, 2020, FIELD CROP RES, V250, DOI 10.1016/j.fcr.2020.107757
   Morgounov A, 2010, FIELD CROP RES, V117, P101, DOI 10.1016/j.fcr.2010.02.001
   Nuttall JG, 2017, FIELD CROP RES, V202, P136, DOI 10.1016/j.fcr.2015.12.011
   Panozzo JF, 2014, J CEREAL SCI, V60, P461, DOI 10.1016/j.jcs.2014.08.011
   Pérez P, 2005, ENVIRON EXP BOT, V53, P13, DOI 10.1016/j.envexpbot.2004.02.008
   Pérez P, 2011, PLANT GROWTH REGUL, V65, P439, DOI 10.1007/s10725-011-9613-y
   Prasad PVV, 2014, FUNCT PLANT BIOL, V41, P1261, DOI 10.1071/FP14061
   R Core Team, 2019, R LANG ENV STAT COMP
   Revelle William, 2024, CRAN
   Reynolds M, 2009, J EXP BOT, V60, P1899, DOI 10.1093/jxb/erp016
   Sabella E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10060793
   Sanchez-Garcia M, 2013, J AGR SCI-CAMBRIDGE, V151, P105, DOI 10.1017/S0021859612000330
   Sayre KD, 1997, CROP SCI, V37, P36, DOI 10.2135/cropsci1997.0011183X003700010006x
   SCHNYDER H, 1993, NEW PHYTOL, V123, P233, DOI 10.1111/j.1469-8137.1993.tb03731.x
   Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
   Shearman VJ, 2005, CROP SCI, V45, P175
   Signorell Andri, 2024, CRAN
   TASHIRO T, 1990, AUST J PLANT PHYSIOL, V17, P551, DOI 10.1071/PP9900551
   Taub DR, 2008, J INTEGR PLANT BIOL, V50, P1365, DOI 10.1111/j.1744-7909.2008.00754.x
   Tausz M, 2013, ENVIRON EXP BOT, V88, P71, DOI 10.1016/j.envexpbot.2011.12.005
   Tausz-Posch S, 2015, EUR J AGRON, V64, P21, DOI 10.1016/j.eja.2014.12.009
   Tausz-Posch S, 2013, PHYSIOL PLANTARUM, V148, P232, DOI 10.1111/j.1399-3054.2012.01701.x
   Tausz-Posch S, 2012, FIELD CROP RES, V133, P160, DOI 10.1016/j.fcr.2012.04.007
   Vicente R, 2016, PLANT CELL PHYSIOL, V57, P2133, DOI 10.1093/pcp/pcw131
   Vicente R, 2015, PLANT CELL PHYSIOL, V56, P1556, DOI 10.1093/pcp/pcv079
   Vicente R, 2015, ACTA PHYSIOL PLANT, V37, DOI 10.1007/s11738-015-1867-y
   WADDINGTON SR, 1986, CROP SCI, V26, P698, DOI 10.2135/cropsci1986.0011183X002600040012x
   Wang L, 2013, AGR ECOSYST ENVIRON, V178, P57, DOI 10.1016/j.agee.2013.06.013
   Weichert H, 2017, J EXP BOT, V68, P5511, DOI 10.1093/jxb/erx366
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Wollenweber B, 2003, J AGRON CROP SCI, V189, P142, DOI 10.1046/j.1439-037X.2003.00025.x
   Xiao YG, 2012, CROP SCI, V52, P44, DOI 10.2135/cropsci2011.05.0246
   Yang JC, 2006, NEW PHYTOL, V169, P223, DOI 10.1111/j.1469-8137.2005.01597.x
   Zheng TC, 2011, FIELD CROP RES, V122, P225, DOI 10.1016/j.fcr.2011.03.015
   Ziska LH, 2008, FIELD CROP RES, V108, P54, DOI 10.1016/j.fcr.2008.03.006
   Ziska LH, 2004, GLOBAL CHANGE BIOL, V10, P1810, DOI 10.1111/j.1365-2486.2004.00840.x
NR 94
TC 13
Z9 13
U1 0
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD AUG
PY 2021
VL 10
IS 8
AR 1596
DI 10.3390/plants10081596
PG 19
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA UH9PH
UT WOS:000690252500001
PM 34451641
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Leal, W
   Wall, T
   Alves, F
   Nagy, GJ
   Carril, LRF
   Li, CL
   Mucova, S
   Joost, JP
   Rayman-Bacchus, L
   Totin, E
   Ayal, DY
   Lutz, JM
   Azeiteiro, UM
   Vinuesa, AG
   Minhas, A
AF Filho, Walter Leal
   Wall, Tony
   AlVES, Fatima
   Nagy, Gustavo J.
   Carril, Luis Ricardo Fernandez
   Li, Chunlan
   Mucova, Serafino
   Joost, Johannes Platje
   Rayman-Bacchus, Lez
   Totin, Edmond
   Ayal, Desalegn Y.
   Lutz, Johannes M.
   Azeiteiro, Ulisses M.
   Vinuesa, Antonio Garcia
   Minhas, Aprajita
TI The impacts of the early outset of the COVID-19 pandemic on climate
   change research: Implications for policy-making
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE COVID-19; Climate change research; Climate adaptation policy; Crisis;
   Economic development; World regions
AB Since January 2020, the COVID-19 pandemic has dominated the media and exercises pressure on governments worldwide. Apart from its effects on economies, education systems and societies, the pandemic has also influenced climate change research. This paper examines the extent to which COVID-19 has influenced climate change research worldwide during the first wave at the beginning of 2020 and how it is perceived to exploit it in the future. This study utilised an international survey involving those dedicated to climate change science and management research from Academia, Government, NGOs, and international agencies in 83 countries. The analysis of responses encompasses four independent variables: Institutions, Regions, Scientific Areas, and the level of economic development represented by the Human Development Index (HDI). Results show that: (1) COVID-19 modified the way the surveyed researchers work, (2) there are indicators that COVID-19 has already influenced the direction of climate change and adaptation policy implementation, and (3) respondents perceived (explicitly concerning the COVID-19 lockdowns of March-April 2020), that the pandemic has drawn attention away from climate policy. COVID- 19 has influenced the agenda of climate change research for more than half of the respondents and is likely to continue in the future, suggesting that the impacts on their research will still be felt for many years. The paper concludes by outlining critical implications for policy-making.
C1 [Filho, Walter Leal] Hamburg Univ Appl Sci, Res & Transfer Ctr Sustainable Dev & Climate Chan, Ulmenliet 20, D-21033 Hamburg, Germany.
   [Wall, Tony] Univ Chester, Int Ctr Thriving, Chester, Cheshire, England.
   [AlVES, Fatima] Univ Aberta, Rua Anim 752, P-4200055 Porto, Portugal.
   [AlVES, Fatima] Univ Coimbra, Ctr Funct Ecol Sci People & Planet, Rua Anim 752, P-4200055 Porto, Portugal.
   [Nagy, Gustavo J.] Univ Republ FC UdelaR, Fac Ciencias, IECA, Montevideo 4225, Uruguay.
   [Carril, Luis Ricardo Fernandez] Tecnol Monterrey, Sch Humanities & Educ, Campus Puebla,Atlixcayotl 5718, Puebla 72453, Pue, Mexico.
   [Li, Chunlan] East China Normal Univ, Ctr Geopolit & Strateg Studies, Shanghai 200062, Peoples R China.
   [Li, Chunlan] East China Normal Univ, Inst Global Innovat & Dev, Shanghai 200062, Peoples R China.
   [Li, Chunlan] East China Normal Univ, Sch Urban & Reg Sci, Shanghai 200241, Peoples R China.
   [Mucova, Serafino] Lurio Univ, Fac Nat Sci, POB 958, Pemba, Mozambique.
   [Mucova, Serafino; Azeiteiro, Ulisses M.] Univ Aveiro, Dept Biol, Aveiro, Portugal.
   [Mucova, Serafino; Azeiteiro, Ulisses M.] Univ Aveiro, CESAM Ctr Environm & Marine Studies, Aveiro, Portugal.
   [Joost, Johannes Platje] WSB Univ Wroclaw, Ul Fabryczna 29-31, PL-53609 Wroclaw, Poland.
   [Rayman-Bacchus, Lez] Univ Winchester, Business Sch, Winchester SO22 5HT, Hants, England.
   [Totin, Edmond] Univ Natl Agr, Ecole Foresterie Trop, BP 43, Ketou, Benin.
   [Ayal, Desalegn Y.] Addis Ababa Univ, Ctr Food Secur Studies, Coll Dev Studies, Addis Ababa, Ethiopia.
   [Lutz, Johannes M.] CHC Higher Educ, Sch Social Sci, Brisbane, Qld 4152, Australia.
   [Lutz, Johannes M.] Univ New South Wales UNSW, Sch Social Sci, Sydney, NSW 2052, Australia.
   [Lutz, Johannes M.] Univ Sunshine Coast USC, Sch Law & Soc, Maroochydore, Qld 4558, Australia.
   [Vinuesa, Antonio Garcia] Univ Santiago de Compostela, SEPA Interea, Social Pedag & Environm Educ Res Grp, Santiago De Compostela, Spain.
   [Minhas, Aprajita] Hamburg Univ Appl Sci, Res & Transfer Ctr Sustainable Dev & Climate Chan, Ulmenliet 20, D-21033 Hamburg, Germany.
   [Filho, Walter Leal] Manchester Metropolitan Univ, Dept Nat Sci, Chester St, Manchester M1 5GD, Lancs, England.
C3 Hochschule Angewandte Wissenschaft Hamburg; University of Chester;
   Universidade Aberta; Universidade de Coimbra; Universidad de la
   Republica, Uruguay; Tecnologico de Monterrey; East China Normal
   University; East China Normal University; East China Normal University;
   Universidade de Aveiro; Universidade de Aveiro; University of
   Winchester; Addis Ababa University; University of New South Wales
   Sydney; University of the Sunshine Coast; Universidade de Santiago de
   Compostela; Hochschule Angewandte Wissenschaft Hamburg; Manchester
   Metropolitan University
RP Nagy, GJ (corresponding author), Univ Republ FC UdelaR, Fac Ciencias, IECA, Montevideo 4225, Uruguay.
EM walter.leal2@haw-hamburg.de; t.wall@chester.ac.uk; fatimaa@uab.pt;
   gnagy@fcien.edu.uy; lfernandezcarril@tec.mx; 15598022233@163.com;
   serafinomucova@ua.pt; johannes.platje@wsb.wroclaw.pl;
   lezmichael@gmail.com; edmond.totin@gmail.com; desalula@gmail.com;
   jluetz@chc.edu.au; ulisses@ua.pt; a.garcia.vinuesa@usc.es;
   Aprajita.Minhas@haw-hamburg.de
RI Rayman-Bacchus, Lez/S-9941-2019; García-Vinuesa, Antonio/AAI-2922-2020;
   li, chunlan/IUP-7784-2023; Ayal, Desalegn/AAG-3042-2021; Platje,
   Johannes/AAX-8860-2020; Wall, Tony/T-5268-2019; Leal,
   Walter/ACX-9082-2022; Luetz, Johannes/AAH-5131-2019; Alves,
   Fatima/R-3494-2016; Azeiteiro, Ulisses/C-5933-2008; nagy,
   gustavo/G-8097-2017
OI Luetz, Johannes/0000-0002-9017-4471; Alves, Fatima/0000-0003-2600-8652;
   Azeiteiro, Ulisses/0000-0002-5252-1700; Garcia-Vinuesa,
   Antonio/0000-0003-3969-4647; Totin, Edmond/0000-0003-3377-6190; Leal
   Filho, Walter/0000-0002-1241-5225; nagy, gustavo/0000-0002-8296-4465;
   Wall, Tony/0000-0003-2334-3279; Platje, Johannes/0000-0002-6274-1467;
   Fernandez Carril, Luis/0000-0002-2078-4362
CR Ali W., 2020, High. Educ. Stud, V10, P16, DOI [10.5539/hes.v10n3p16, DOI 10.5539/HES.V10N3P16]
   [Anonymous], 2020, Coronavirus resource center
   [Anonymous], 2016, HUMAN DEV REPORT 201
   [Anonymous], 2020, WORLD EC OUTLOOK REP
   Anthem P., 2020, RISK HUNGER PANDEMIC
   Barrett E., 2020, Fortune
   Berwyn B., 2020, CORONAVIRUS ALREADY
   Beyer RM, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2021.145413
   Botzen W, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105214
   Bryman A., 2016, Social Research Methods, V5th
   Clarkson H, 2020, INT CLIMATE MINISTER
   Cooper R., 2020, CORONAVIRUS SCIENTIS
   Crawford J., 2020, J Appl Learn Teach, V3, P1, DOI DOI 10.37074/JALT.2020.3.1.7
   Creswell J., 2009, Research Design, DOI [10.1080/15424065.2022.2046231, DOI 10.1016/J.JCLEPRO.2020.124499]
   Creswell J. W., 2012, QUAL INQ
   Creswell J. W., 2014, RES DESIGN QUALITATI, V4th, DOI DOI 10.1007/S13398-014-0173-7.2
   Gornall J, 2020, CLIMATE CHANGE WILL
   Halbrügge S, 2021, APPL ENERG, V285, DOI 10.1016/j.apenergy.2020.116370
   Hamwey R., 2020, ENV IMPACTS CORONAVI
   Holmes EA, 2020, LANCET PSYCHIAT, V7, P547, DOI 10.1016/S2215-0366(20)30168-1
   Howarth C, 2020, ENVIRON RESOUR ECON, V76, P1107, DOI 10.1007/s10640-020-00446-9
   Kahneman D, 2013, THINKING FAST SLOW
   Le Quéré C, 2020, NAT CLIM CHANGE, V10, P647, DOI 10.1038/s41558-020-0797-x
   Leal Filho W., 2020, **NON-TRADITIONAL**
   Leal W, 2021, ENVIRON DEV SUSTAIN, V23, P11257, DOI 10.1007/s10668-020-01107-z
   Leal W, 2020, INT J CLIM CHANG STR, V12, P533, DOI 10.1108/IJCCSM-08-2020-212
   Manzanedo RD, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140563
   Markard J, 2020, SUSTAINABILITY-SCI P, V16, P53, DOI 10.1080/15487733.2020.1765679
   Martinez-Diaz L., 2020, KEY INVESTMENTS CAN
   McKeever V, 2020, CNBC
   Miki E, 2020, INTERVIEW MED SOCIOL
   OECD, 2020, COVID-19 and the low carbon transition: Impacts and possible policy responses
   Phillips CA, 2020, NAT CLIM CHANGE, V10, P586, DOI 10.1038/s41558-020-0804-2
   Platje J., 2011, I CAPITAL CREATING C
   Punch K.F., 2014, Introduction to social research: Quantitative and qualitative approaches
   Purdy L, 2020, CORONA VIRUS COULD C
   Rosenbloom D, 2020, SCIENCE, V368, P447, DOI 10.1126/science.abc4887
   Rugani B, 2020, SCI TOTAL ENVIRON, V737, DOI 10.1016/j.scitotenv.2020.139806
   Sauven J., 2020, COVID 19 NEEDS OUR A
   Smart dreamers, 2020, MAN YOUR EMPL BRAND
   Stone M, 2020, NOT NOT LONG
   U.N, 2020, SECRETARY GEN REMARK
   Van Dam Y.K., 2020, CEREM, V4, P7, DOI DOI 10.29015/CEREM.876
   Wang LF, 2020, LANCET, V395, pE33, DOI 10.1016/S0140-6736(20)30350-0
   World Food Programme, 2020, 2020-Global report on food crises
   Wynes S, 2020, CLIMATIC CHANGE, V162, P1521, DOI 10.1007/s10584-020-02811-5
NR 46
TC 7
Z9 8
U1 2
U2 30
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD OCT
PY 2021
VL 124
BP 267
EP 278
DI 10.1016/j.envsci.2021.06.008
EA JUL 2021
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UJ9MW
UT WOS:000691602800001
PM 34539239
OA Green Published, Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Fischer, HW
AF Fischer, Harry W.
TI Policy innovations for pro-poor climate support: social protection,
   small-scale infrastructure, and active citizenship under India's MGNREGA
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate adaptation; social protection; community-based adaptation;
   vulnerability; sustainable development; MGNREGA; India
ID COMMUNITY-BASED ADAPTATION; EMPLOYMENT GUARANTEE ACT; ANDHRA-PRADESH;
   VULNERABILITY; PROGRAMS; RESPONSIVENESS; PARTICIPATION; INSTITUTIONS;
   PRINCIPLES; LESSONS
AB While extensive scholarship has explored principles for pro-poor climate support, there is a need for knowledge of specific strategies that can achieve these objectives on the ground. This paper examines India's Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) and its effects on climate risk reduction. Although the MGNREGA was not designed specifically as a climate programme, it incorporates three key elements with the potential to advance pro-poor climate assistance objectives: (a) social protection through the provision of minimum wage labour; (b) the development of small-scale, natural resource-focused infrastructure; and (c) a decentralized, 'community-based' planning architecture. Analysis of a primary dataset comprising 1400 households and 798 projects in India's state Himachal Pradesh, interpreted through intensive qualitative fieldwork, shows that both projects and labour have helped vulnerable households confront climate and other risks, while the Act's decentralized architecture has expanded the channels for citizens to claim support for local challenges. The paper argues for the importance of building a broader 'ecosystem' of support to target diverse local needs, and of the need to strengthen the political architectures through which vulnerable groups access these benefits on the ground - especially in the context of decentralized approaches for climate assistance.
C1 [Fischer, Harry W.] Swedish Univ Agr Sci, Dept Urban & Rural Dev, POB 7012, S-75007 Uppsala, Sweden.
   [Fischer, Harry W.] Univ Melbourne, Australia India Inst, 147-149 Barry St, Carlton, Vic 3053, Australia.
C3 Swedish University of Agricultural Sciences; University of Melbourne
RP Fischer, HW (corresponding author), Swedish Univ Agr Sci, Dept Urban & Rural Dev, POB 7012, S-75007 Uppsala, Sweden.; Fischer, HW (corresponding author), Univ Melbourne, Australia India Inst, 147-149 Barry St, Carlton, Vic 3053, Australia.
EM harry.fischer@slu.se
OI Fischer, Harry/0000-0001-7967-1154
CR Abraham S, 2014, IDS BULL-I DEV STUD, V45, P56, DOI 10.1111/1759-5436.12083
   Adam HN, 2015, CLIM DEV, V7, P142, DOI 10.1080/17565529.2014.934772
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Agarwal A, 2012, WIRES CLIM CHANGE, V3, P565, DOI 10.1002/wcc.193
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   [Anonymous], 2013, An Uncertain Glory. India and Its Contradictions
   Arnall A., 2010, 345 IDS
   Ayers J, 2010, PROG DEV STUD, V10, P161, DOI 10.1177/146499340901000205
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Barrientos A, 2009, OXF DEV STUD, V37, P439, DOI 10.1080/13600810903305257
   Béné C, 2011, IDS BULL-I DEV STUD, V42, P67, DOI 10.1111/j.1759-5436.2011.00275.x
   Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Burney JA, 2013, P NATL ACAD SCI USA, V110, P12513, DOI 10.1073/pnas.1203597110
   Burnham M, 2018, WORLD DEV, V108, P249, DOI 10.1016/j.worlddev.2017.08.005
   Carswell G, 2014, J AGRAR CHANGE, V14, P564, DOI 10.1111/joac.12054
   Chhatre Ashwini., 2006, Democratizing Nature: Politics, Conservation, and Development in India
   Chopra D., 2014, THEY DONT WANT WORK
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Daftary D, 2010, J DEV STUD, V46, P1692, DOI 10.1080/00220388.2010.492867
   Das U, 2015, J DEV STUD, V51, P621, DOI 10.1080/00220388.2014.989997
   Dasgupta A, 2017, ECON DEV CULT CHANGE, V65, P767, DOI 10.1086/691992
   Davies M., 2009, IDS B, V39, P105
   Davies M, 2013, DEV POLICY REV, V31, P27, DOI 10.1111/j.1467-7679.2013.00600.x
   Deininger K, 2019, WORLD DEV, V117, P98, DOI 10.1016/j.worlddev.2018.12.014
   Devereux S, 2011, IDS BULL-I DEV STUD, V42, P1, DOI 10.1111/j.1759-5436.2011.00265.x
   Dhanapal G, 2014, NAT CLIM CHANGE, V4, P232, DOI 10.1038/nclimate2114
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Dreze J., 1989, Hunger and public action.
   Dreze J., 2002, India: Development and participation
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Esteves T., 2013, ECON POLIT WEEKLY, VXLVIII, P94
   Faguet JP, 2013, WORLD DEV, V53, P2, DOI 10.1016/j.worlddev.2013.01.002
   Fischer H. W., 2015, ENVIRON PLANN A, V48, P789
   Fischer HW, 2019, WORLD DEV, V120, P147, DOI 10.1016/j.worlddev.2018.09.013
   Fischer HW, 2016, WORLD DEV, V86, P111, DOI 10.1016/j.worlddev.2016.05.003
   Fiszbein A, 2014, WORLD DEV, V61, P167, DOI 10.1016/j.worlddev.2014.04.010
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Godfrey-Wood R, 2018, DEV POLICY REV, V36, pO586, DOI 10.1111/dpr.12309
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Jakimow T, 2014, J PEASANT STUD, V41, P263, DOI 10.1080/03066150.2014.890932
   Johnson C, 2013, DEV POLICY REV, V31, P2, DOI 10.1111/dpr.12036
   Khera Reetika., 2011, BATTLE EMPLOYMENT GU
   Kirkby P, 2018, CLIM DEV, V10, P577, DOI 10.1080/17565529.2017.1372265
   Kruks-Wisner G, 2018, WORLD POLIT, V70, P122, DOI 10.1017/S0043887117000193
   LAAKSO M, 1979, COMP POLIT STUD, V12, P3, DOI 10.1177/001041407901200101
   Laube W, 2012, CLIMATIC CHANGE, V111, P753, DOI 10.1007/s10584-011-0199-1
   Lemos MC, 2007, ECOL SOC, V12
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Maiorano D, 2018, OXF DEV STUD, V46, P536, DOI 10.1080/13600818.2018.1467391
   Manor J., 1999, The Political Economy of Democratic Decentralization, DOI [10.1596/0-8213-4470-6, DOI 10.1596/0-8213-4470-6]
   Manor James., 2010, OXFORD COMPANION POL, P61
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nair M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075089
   Narayanan S, 2017, WORLD DEV, V100, P31, DOI 10.1016/j.worlddev.2017.07.024
   Patnaik U, 2016, GLOB BUS REV, V17, P161, DOI 10.1177/0972150915610712
   Pretty JN, 2006, ENVIRON SCI TECHNOL, V40, P1114, DOI 10.1021/es051670d
   Ranaware Krushna., 2015, ECON POLIT WEEKLY, V50, P53
   Ravi S, 2015, WORLD DEV, V67, P57, DOI 10.1016/j.worlddev.2014.09.029
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Ribot J. C., 2001, International Journal of Agricultural Resources, Governance and Ecology, V1, P327, DOI 10.1504/IJARGE.2001.000018
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Schipper L., 2007, Working Papers - Tyndall Centre for Climate Change Research
   Speer J, 2012, WORLD DEV, V40, P2379, DOI 10.1016/j.worlddev.2012.05.034
   Sukhtankar S., 2016, India's National Rural Employment Guarantee Scheme: What Do We Really Know about the World's Largest Workfare Program?, V13, P2009
   Totin E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061990
   Villamayor-Tomas S, 2017, GLOBAL ENVIRON CHANG, V47, P153, DOI 10.1016/j.gloenvcha.2017.10.002
   Willkomm L, 2015, METHODS MOL BIOL, P1, DOI 10.1007/978-1-4939-2703-6_1
   Wright H, 2014, CLIM DEV, V6, P318, DOI 10.1080/17565529.2014.965654
NR 73
TC 16
Z9 16
U1 3
U2 12
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD SEP 13
PY 2020
VL 12
IS 8
BP 689
EP 702
DI 10.1080/17565529.2019.1676690
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA NW7IZ
UT WOS:000575194200001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU van Duuren, D
   van Alphen, HJ
   Koop, SHA
   de Bruin, E
AF van Duuren, Diederik
   van Alphen, Henk-Jan
   Koop, Steven H. A.
   de Bruin, Erwin
TI Potential Transformative Changes in Water Provision Systems: Impact of
   Decentralised Water Systems on Centralised Water Supply Regime
SO WATER
LA English
DT Article
DE decentralised water systems; sustainable urban water management;
   rainwater harvesting; centralised water systems; hybrid water systems;
   scenarios; foresight; transformative processes
ID URBAN WATER; MANAGEMENT; SUSTAINABILITY; TRANSITIONS; GOVERNANCE;
   TECHNOLOGY; CHALLENGES; INNOVATION; WASTE
AB Sustainable Urban Water Management (SUWM) is a paradigm in which decentralisation is key. There has been little work directed towards the large-scale possibilities of decentralised water systems and their implications on the functioning of the centralised (potable) water system. This study includes both a historical and future (scenario) analysis of decentralised developments. Integrated morphological socio-technical scenarios are combined with quantitative water flows for a case study (the Province of Limburg, the Netherlands) and examined by a transdisciplinary group of experts. The study shows how SUWM measures which focus on climate adaptation and circularity can have a significant impact on existing centralised potable water systems. In turn, influencing the total water and peak demands and thus resulting in different utilisation rates. This can result in more system failures (e.g., longer residence time, bacterial growth, reduced self-cleaning capacity), significant changes in the centralised infrastructure (e.g., more wells), increasing water bills (e.g., inequalities), and the preservation of aquifers for future generation. Different scenarios either have regime-reproducing or regime-diversifying impacts. SUWM measures are studied in isolation and thus externalities are not fully considered. Therefore, when planning for decentralised SUWM solutions, a systems thinking approach is recommended, which takes into account externalities.
C1 [van Duuren, Diederik; de Bruin, Erwin] WML, Limburglaan 25, NL-6229 GA Maastricht, Netherlands.
   [van Duuren, Diederik] Maastricht Univ, Int Ctr Integrated Assessment & Sustainable Dev I, Kapoenstr 2, NL-6211 KR Maastricht, Netherlands.
   [van Alphen, Henk-Jan; Koop, Steven H. A.] KWR Watercycle Res Inst, Groningenhaven 7, NL-3433 PE Nieuwegein, Netherlands.
   [Koop, Steven H. A.] Univ Utrecht, Coopernicus Inst Sustainable Dev, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
C3 Maastricht University; KWR Watercycle Research Institute; Utrecht
   University
RP van Duuren, D (corresponding author), WML, Limburglaan 25, NL-6229 GA Maastricht, Netherlands.; van Duuren, D (corresponding author), Maastricht Univ, Int Ctr Integrated Assessment & Sustainable Dev I, Kapoenstr 2, NL-6211 KR Maastricht, Netherlands.
EM D.vanDuuren@wml.nl
RI Koop, Steven/J-8116-2019
OI Koop, Steven/0000-0001-9906-3746
FU International Centre for Integrated assessment and Sustainable
   development (ICIS); water utility WML in the Netherlands; water utility
   Dunea in the Netherlands
FX This paper was based on research financed by the joint research
   programme BTO that KWR Watercycle Research Institute carried out with
   researchers from the International Centre for Integrated assessment and
   Sustainable development (ICIS) in collaboration with water utilities WML
   and Dunea in the Netherlands.
CR Agudelo-Vera C.M., 2015, TRANSITIONS DRINKING
   [Anonymous], 2009, CASE STUDY RES DESIG
   Arora M, 2015, WIRES WATER, V2, P623, DOI 10.1002/wat2.1099
   Baggelaar P.K., 2010, VIER SCENARIOS DRINK
   Baggelaar P.K., 2017, PROGNOSES SCENARIOS
   Baggelaar P.K., 2008, PROGNOSE LANDELIJKE
   Berkhout F., 2004, System Innovation and the Transition to Sustainability, P48
   Bertelkamp C., 2017, H2O TIJDSCHRIFT WATE
   Billings B., 2008, FORECASTING URBAN WA
   Blokker E.J.M., 2011, KWANTITATIEVE TOEKOM
   Bouziotas D, 2019, WATER-SUI, V11, DOI 10.3390/w11061227
   Brouwer S., 2018, Klantperspectieven
   Brown RR, 2009, WATER SCI TECHNOL, V59, P839, DOI 10.2166/wst.2009.028
   Brown R, 2011, WATER RESOUR MANAG, V25, P4037, DOI 10.1007/s11269-011-9886-y
   Bryman A., 2012, SOCIAL RES METHODS, V1
   Cashman A, 2008, FORESIGHT, V10, P9, DOI 10.1108/14636680810883099
   CBS, 2015, KERNPR 2015 2060 HOG
   CBS/PBL, 2015, NED 2030 2050 TWEE R
   Chung G, 2009, ENVIRON MODELL SOFTW, V24, P449, DOI 10.1016/j.envsoft.2008.08.007
   Daigger G.T., 2019, WATER SANIT DIV, V657, P756
   Daniell KA, 2015, GLOB ISS WATER POL, V15, P1, DOI 10.1007/978-94-017-9801-3_1
   Daniell KA, 2014, J HYDROL, V519, P2415, DOI 10.1016/j.jhydrol.2014.08.058
   de Graaf RE, 2011, URBAN WATER J, V8, P1, DOI 10.1080/1573062X.2010.527351
   De Nijs ACM, 2015, SCENARIOS DRINKWATER
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Domènech L, 2011, DOC ANAL GEOGR, V57, P293
   Elzen B., 2002, SOCIOTECHNICAL SCENA
   Elzen B., 2007, P 7 INT SUMM AC TECH
   European Environment Agency, 2016, PROJ POP CHANG EUR C
   Forrest J, 2019, AUST GEOGR, V50, P493, DOI 10.1080/00049182.2019.1601151
   Forrest N, 2019, J CLEAN PROD, V214, P1038, DOI 10.1016/j.jclepro.2018.12.309
   Geels F., 2000, Transities vanuit socio-technisch perspectief
   Geels F, 2005, TECHNOL SOC, V27, P363, DOI 10.1016/j.techsoc.2005.04.008
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Grin J., 2010, Routledge studies in sustainability transitions
   Hofman J., 2014, Rainwater Harvesting, a Sustainable Solution for Urban Climate Adaptation?
   Hofman-Caris R., 2018, H2O TIJDSCHRIFT WATE
   Hofman-Caris R., 2019, H2O TIJDSCHRIFT WATE
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   KEMP R, 1994, FUTURES, V26, P1023, DOI 10.1016/0016-3287(94)90071-X
   Kieboom M., 2014, Lab matters: challenging the practice of social innovation laboratories
   Klein Tank A., 2014, KNMI 14 CLIMATE SCEN
   Koop SHA, 2019, J ENVIRON MANAGE, V247, P867, DOI 10.1016/j.jenvman.2019.06.126
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Larsen TA, 1997, WATER SCI TECHNOL, V35, P3, DOI 10.2166/wst.1997.0326
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Leigh NG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030918
   Lucas S. A., 2010, Water Science and Technology: Water Supply, V10, P69, DOI 10.2166/ws.2010.840
   Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046
   Marshall GR, 2016, WATER ALTERN, V9, P679
   Meuwissen J., 2016, POPULATION PROGNOSIS
   Mitchell VG, 2005, WATER SCI TECHNOL, V52, P91, DOI 10.2166/wst.2005.0435
   Moerman A., 2017, KENNISPLATFORM INSTA
   Pahl-Wostl C, 2011, WATER RESOUR MANAG, V25, P837, DOI 10.1007/s11269-010-9729-2
   PINKHAM R, 2002, 21 CENTURY WATER SYS
   Rip A., 1998, HUMAN CHOICE CLIMATE, V2
   Ritchey T., 2011, Wicked Problems - Social Messes: Decision Support Modelling with Morphological Analysis
   Ritchie A, 2009, J AM PLANN ASSOC, V75, P97, DOI 10.1080/01944360802540422
   Rotmans JR., 2001, FORESIGHT J FUTURE S, V3, P15, DOI [DOI 10.1108/14636680110803003, 10.1108/14636680110803003]
   Rozos E, 2013, ENVIRON MODELL SOFTW, V41, P139, DOI 10.1016/j.envsoft.2012.11.015
   Rygaard M, 2011, J ENVIRON MANAGE, V92, P185, DOI 10.1016/j.jenvman.2010.09.009
   Sapkota M, 2016, WATER-SUI, V8, DOI 10.3390/w8010004
   Sapkota M, 2015, WATER-SUI, V7, P153, DOI 10.3390/w7010153
   Schmeets H., 2015, SOCIAAL I VERTROUWEN
   Schyns P., 2016, KIEZEN BIJ KASSA
   Sitzenfrei R, 2014, PROCEDIA ENGINEER, V70, P1549, DOI 10.1016/j.proeng.2014.02.171
   Sitzenfrei R, 2017, WATER-SUI, V9, DOI 10.3390/w9110855
   Sitzenfrei R, 2013, WATER RES, V47, P7251, DOI 10.1016/j.watres.2013.10.038
   Skambraks AK, 2017, SUSTAIN CITIES SOC, V28, P287, DOI 10.1016/j.scs.2016.09.013
   Smith A, 2005, RES POLICY, V34, P1491, DOI 10.1016/j.respol.2005.07.005
   Speers A., 2000, P C WAT SENS URB DES
   Swart B.D., 2013, SOURCE SEPARATION DE
   Thiel L., 2017, WATERGEBRUIK THUIS 2
   Van Alphen H.-J., 2018, DECENTRALE WATERSYST
   van Alphen H.J., 2015, PRAKTIJK TOEKOMST DE
   Van de Ven S.A.G., 2016, WOONMONITOR LIMBURG
   Van der Heijden K., 2005, SCENARIOS ART STRATE
   Vonk E., 2017, GEVOLGEN KLIMAATVERA
NR 78
TC 6
Z9 6
U1 9
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2019
VL 11
IS 8
AR 1709
DI 10.3390/w11081709
PG 39
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA IV9CM
UT WOS:000484561500182
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Roybal, CM
   Butterfield, BJ
AF Roybal, Carla M.
   Butterfield, Bradley J.
TI Functional trait heritability and local climatic adaptation among
   grasses: a meta-analysis
SO PLANT ECOLOGY
LA English
DT Article
DE Functional trait; Poaceae; Intraspecific variability; Common garden;
   Trait-climate relationships
ID INTRASPECIFIC VARIABILITY; GRASSLAND COMMUNITIES; PUBLICATION BIAS;
   PLANT COMMUNITY; NICHE BREADTH; RESPONSES; DIFFERENTIATION; POPULATIONS;
   GROWTH; EXTENT
AB Variation in climate has been demonstrated to be a powerful driver of selection and local adaptation among plant populations. Variation in functional traits among populations can also be indicative of the drivers of local adaptation. However, it is not clear to what extent species exhibit consistent patterns of local adaptation as revealed by common, heritable trait-environment relationships among populations. To address this, we conducted a meta-analysis of common garden studies of grass populations to quantify the degree of heritability of several commonly measured functional traits, and whether demonstrated heritability was driven by climate. We found that leaf size, specific leaf area (SLA) and total biomass all displayed strong broad-sense of heritability. Both leaf area and SLA decreased significantly with increasing temperature seasonality among populations within species, while total biomass increased with increasing annual and dry season precipitation, and decreased with increasing precipitation seasonality. These results indicate similar, consistent drivers of local adaptation among species of grasses. Further information on trait-environment relationships within species could greatly improve our ability to predict broad scale patterns in functional diversity across multiple levels of ecological organization. Expanding the range of traits and regions incorporated in common garden research, in the present case by incorporating root traits and Southern Hemisphere taxa, will provide even greater benefits to the fields of restoration, conservation, and global change ecology.
C1 [Roybal, Carla M.; Butterfield, Bradley J.] No Arizona Univ, Merriam Powell Ctr Environm Res, Box 5640, Flagstaff, AZ 86011 USA.
   [Roybal, Carla M.; Butterfield, Bradley J.] No Arizona Univ, Dept Biol Sci, Box 5640, Flagstaff, AZ 86011 USA.
C3 Northern Arizona University; Northern Arizona University
RP Roybal, CM (corresponding author), No Arizona Univ, Merriam Powell Ctr Environm Res, Box 5640, Flagstaff, AZ 86011 USA.; Roybal, CM (corresponding author), No Arizona Univ, Dept Biol Sci, Box 5640, Flagstaff, AZ 86011 USA.
EM cr344@nau.edu
FU US Bureau of Land Management Colorado Plateau Native Plants Program; US
   Forest Service Great Basin Native Plants Program; US Geological Survey
   Restoration Assessment and Monitoring Program for the Southwest (RAMPS)
FX The authors would like to thank Liza Holeski, Nate Nieto and Troy Wood
   for their comments and input on this manuscript. The manuscript was
   greatly improved with input by our reviewers. This research was
   supported in part by the US Bureau of Land Management Colorado Plateau
   Native Plants Program, the US Forest Service Great Basin Native Plants
   Program, and the US Geological Survey Restoration Assessment and
   Monitoring Program for the Southwest (RAMPS).
CR Albert CH, 2012, OIKOS, V121, P116, DOI 10.1111/j.1600-0706.2011.19672.x
   Albert CH, 2010, FUNCT ECOL, V24, P1192, DOI 10.1111/j.1365-2435.2010.01727.x
   Albert CH, 2010, J ECOL, V98, P604, DOI 10.1111/j.1365-2745.2010.01651.x
   [Anonymous], 2013, HDB META ANAL ECOLOG
   Aspinwall MJ, 2013, NEW PHYTOL, V199, P966, DOI 10.1111/nph.12341
   Beierkuhnlein C, 2011, J ECOL, V99, P703, DOI 10.1111/j.1365-2745.2011.01809.x
   Bower AD, 2014, ECOL APPL, V24, P913, DOI 10.1890/13-0285.1
   Bussotti F, 2015, ENVIRON EXP BOT, V111, P91, DOI 10.1016/j.envexpbot.2014.11.006
   Butterfield BJ, 2017, PLANT ECOL, V218, P385, DOI 10.1007/s11258-016-0696-4
   Butterfield BJ, 2015, PLANT ECOL, V216, P1341, DOI 10.1007/s11258-015-0510-8
   Carter DL, 2014, PLANT ECOL, V215, P977, DOI 10.1007/s11258-014-0353-8
   Chaplin-Kramer R, 2011, ECOL LETT, V14, P922, DOI 10.1111/j.1461-0248.2011.01642.x
   Cheplick GP, 2011, AM J BOT, V98, P829, DOI 10.3732/ajb.1000226
   de Bello F, 2011, METHODS ECOL EVOL, V2, P163, DOI 10.1111/j.2041-210X.2010.00071.x
   Del Re AC., 2013, Compute.es: Compute effect sizes (Version 0.2-2) Computer software. R package
   Duval S, 2000, J AM STAT ASSOC, V95, P89, DOI 10.2307/2669529
   Duval S, 2000, BIOMETRICS, V56, P455, DOI 10.1111/j.0006-341X.2000.00455.x
   Flory SL, 2011, ECOLOGY, V92, P2248, DOI 10.1890/11-0363.1
   Galloway JN, 2008, SCIENCE, V320, P889, DOI 10.1126/science.1136674
   Gibson D.J., 2009, Grasses and Grassland Ecology.
   Gibson DJ, 2013, J TORREY BOT SOC, V140, P269, DOI 10.3159/TORREY-D-12-00063.1
   Giuliani AL, 2014, J PLANT ECOL, V7, P211, DOI 10.1093/jpe/rtt036
   Grime JP, 1997, OIKOS, V79, P259, DOI 10.2307/3546011
   Hartman JC, 2012, FUNCT PLANT BIOL, V39, P126, DOI 10.1071/FP11229
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holmstrom RM, 2010, RESTOR ECOL, V18, P426, DOI 10.1111/j.1526-100X.2009.00593.x
   Johnson RC, 2015, EVOL APPL, V8, P172, DOI 10.1111/eva.12240
   Joshi J, 2001, ECOL LETT, V4, P536, DOI 10.1046/j.1461-0248.2001.00262.x
   Jung V, 2014, J ECOL, V102, P45, DOI 10.1111/1365-2745.12177
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KIK C, 1990, J ECOL, V78, P949, DOI 10.2307/2260945
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Leva PE, 2013, AUST J BOT, V61, P475, DOI 10.1071/BT12249
   Matlaga DP, 2012, INVAS PLANT SCI MANA, V5, P363, DOI 10.1614/IPSM-D-11-00056.1
   MCMILLAN C, 1957, AM J BOT, V44, P144, DOI 10.2307/2438305
   Mnif L, 2005, ARID LAND RES MANAG, V19, P341, DOI 10.1080/15324980500299565
   Moles AT, 2014, J VEG SCI, V25, P1167, DOI 10.1111/jvs.12190
   Nagashima H, 2011, ANN BOT-LONDON, V108, P207, DOI 10.1093/aob/mcr109
   Nippert JB, 2012, PLANT SOIL, V355, P385, DOI 10.1007/s11104-011-1112-4
   Parsons MC, 2011, RANGELAND ECOL MANAG, V64, P649, DOI 10.2111/REM-D-09-00143.1
   Pérez-Ramos IM, 2012, J ECOL, V100, P1315, DOI 10.1111/1365-2745.12000
   Pillar VD, 2010, ECOL LETT, V13, P587, DOI 10.1111/j.1461-0248.2010.01456.x
   Pons T., 2008, Plant physiological ecology
   Pontes LD, 2015, AGRON SUSTAIN DEV, V35, P1297, DOI 10.1007/s13593-015-0314-1
   Poorter H, 2012, NEW PHYTOL, V193, P30, DOI 10.1111/j.1469-8137.2011.03952.x
   Poulin J, 2007, AM J BOT, V94, P533, DOI 10.3732/ajb.94.4.533
   RAPSON GL, 1992, NEW ZEAL J BOT, V30, P1
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Reisch C, 2003, FLORA, V198, P321, DOI 10.1078/0367-2530-00103
   Sandel B, 2016, J VEG SCI, V27, P1047, DOI 10.1111/jvs.12422
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Siefert A, 2015, ECOL LETT, V18, P1406, DOI 10.1111/ele.12508
   Skalova H, 1997, J EVOLUTION BIOL, V10, P383, DOI 10.1007/s000360050031
   St Clair JB, 2013, EVOL APPL, V6, P933, DOI 10.1111/eva.12077
   Talkington NE, 2015, TRAIT VARIATION POPU
   van Wijk MT, 2011, GLOBAL ECOL BIOGEOGR, V20, P331, DOI 10.1111/j.1466-8238.2010.00601.x
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   Violle C, 2012, TRENDS ECOL EVOL, V27, P244, DOI 10.1016/j.tree.2011.11.014
   Wang TL, 2010, ECOL APPL, V20, P153, DOI 10.1890/08-2257.1
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
   Zhou W, 2013, J ECOL, V101, P1498, DOI 10.1111/1365-2745.12143
NR 61
TC 5
Z9 7
U1 4
U2 94
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1385-0237
EI 1573-5052
J9 PLANT ECOL
JI Plant Ecol.
PD APR
PY 2018
VL 219
IS 4
BP 369
EP 379
DI 10.1007/s11258-018-0801-y
PG 11
WC Plant Sciences; Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry
GA FZ3RQ
UT WOS:000427508300002
DA 2025-01-10
ER

PT J
AU Kalafatis, SE
   Lemos, MC
   Lo, YJ
   Frank, KA
AF Kalafatis, Scott E.
   Lemos, Maria Carmen
   Lo, Yun-Jia
   Frank, Kenneth A.
TI Increasing information usability for climate adaptation: The role of
   knowledge networks and communities of practice
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Knowledge networks; Communities of practice; Usable information; Climate
   change; Adaptation
ID ADAPTIVE CAPACITY; WATER MANAGEMENT; FORECASTS; SCIENCE; POLICY;
   RESOURCES
AB This paper examines the dissemination of climate knowledge among Great Lakes decision-makers, especially focusing on cross-scale processes to tailor knowledge to better fit decision contexts. It employs both network analysis of those involved with documents and events intended to integrate climate change information into policy production or practice and qualitative research to understand how climate information flows among stakeholders in the water quality sector, a policy area of great importance in the Great Lakes region. It finds that the network consists of centralized regional-scale work surrounded by more dispersed specialized and local work that has developed over time. Our interviews reveal that overlaps between these scales produce more usable knowledge as potential users form their own specialized networks which operate as communities of practice that further tailor information to match particular application needs. We propose a model of this process that describes how the development of usable information works in a continuum, with each step furthering usability at the regional level. This model outlines the potential for knowledge networks and communities of practice to not only drive the use of information in particular decision contexts, but also provide a critical means to inform regional work and scale up the production of usable information about climate change. (c) 2015 Elsevier Ltd. All rights reserved.
C1 [Kalafatis, Scott E.; Lemos, Maria Carmen; Lo, Yun-Jia] Univ Michigan, Ann Arbor, MI 48109 USA.
   [Frank, Kenneth A.] Michigan State Univ, E Lansing, MI 48824 USA.
C3 University of Michigan System; University of Michigan; Michigan State
   University
RP Kalafatis, SE (corresponding author), Univ Michigan, Sch Nat Resources & Environm, 440 Church St, Ann Arbor, MI 48109 USA.
EM scottkal@umich.edu
OI Lemos, Maria Carmen/0000-0001-6686-730X; Kalafatis,
   Scott/0000-0002-5123-7935
FU NOAA [NA10OAR4310213]
FX We thank all of our interviewees who generously shared their experiences
   and expertise with us. This research was supported by NOAA's RISA
   Program (Grant NA10OAR4310213/Great Lakes Integrated Sciences and
   Assessments). We would also like to thank the two anonymous reviewers
   whose feedback substantially improved this article.
CR [Anonymous], 2010, AM CLIM CHOIC PAN AD
   [Anonymous], P NAT AC SCI SPEC FE
   [Anonymous], 2017, IMPROVED STRATEGIES
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Bidwell D, 2013, NAT CLIM CHANGE, V3, P610, DOI 10.1038/nclimate1931
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Bodin Ö, 2008, WORLD DEV, V36, P2763, DOI 10.1016/j.worlddev.2007.12.002
   Bolson J, 2013, WEATHER CLIM SOC, V5, P266, DOI 10.1175/WCAS-D-12-00002.1
   Borgatti S.P., 2018, Analyzing Social Networks
   Botts Lee., 2005, EVOLUTION GREAT LAKE
   Callahan B, 1999, POLICY SCI, V32, P269, DOI 10.1023/A:1004604805647
   Changnon SA, 1999, CLIMATIC CHANGE, V42, P51, DOI 10.1023/A:1005408131413
   Clark W., 2002, FACULTY WORKING PAPE
   Dave G, 2014, AQUAT ECOSYST HEALTH, V17, P437, DOI 10.1080/14634988.2014.978245
   Diduck A, 2010, SPRINGER SER ENV MAN, P199, DOI 10.1007/978-3-642-12194-4_10
   Dilling L., 2014, WEATHER CLIM SOC
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dow K, 2013, REG ENVIRON CHANGE, V13, P1235, DOI 10.1007/s10113-013-0440-8
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Frank K.A., 2005, Social organization of schools: Book honoring Charles Bidwell's retirement, P279
   Frank K, 2012, POLICY STUD J, V40, P492, DOI 10.1111/j.1541-0072.2012.00462.x
   Hagemeier-Klose M, 2014, INT J DISAST RISK SC, V5, P21, DOI 10.1007/s13753-014-0015-4
   KENNEDY MM, 1979, EVALUATION QUART, V3, P661, DOI 10.1177/0193841X7900300409
   Kerkhoff L.v., 2010, P NATL ACAD SCI EARL
   Kiparsky M, 2012, ANNU REV ENV RESOUR, V37, P163, DOI 10.1146/annurev-environ-050311-093931
   Kirchhoff C.J., 2013, ANN REV ENV RESOUR
   Kirchhoff CJ, 2013, CLIMATIC CHANGE, V119, P495, DOI 10.1007/s10584-013-0703-x
   Lave J., 1991, SITUATED LEARNING LE, P89, DOI DOI 10.1017/CBO9780511815355
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Lemos MC, 2015, CURR OPIN ENV SUST, V12, P48, DOI 10.1016/j.cosust.2014.09.005
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lemos MC, 2008, J AM WATER RESOUR AS, V44, P1388, DOI 10.1111/j.1752-1688.2008.00231.x
   Lowrey JL, 2009, CLIM RES, V40, P103, DOI 10.3354/cr00827
   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
   National Climate Assessment (NCA), 2014, 2014 NAT CLIM ASS
   Pagano TC, 2002, CLIMATE RES, V21, P259, DOI 10.3354/cr021259
   Power S, 2005, B AM METEOROL SOC, V86, P839, DOI 10.1175/BAMS-86-6-839
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Rice JL, 2009, J AM WATER RESOUR AS, V45, P1248, DOI 10.1111/j.1752-1688.2009.00358.x
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Shadish W.R., 2001, EXPT QUASIEXPERIMENT
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   USEPA, 1995, ENV ATL RES BOOK
   WENGER E, 1998, MEANING IDENTITY
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
NR 50
TC 86
Z9 95
U1 4
U2 72
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAY
PY 2015
VL 32
BP 30
EP 39
DI 10.1016/j.gloenvcha.2015.02.007
PG 10
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CJ8RH
UT WOS:000355770700004
DA 2025-01-10
ER

PT C
AU Molmann, JA
   Junttila, O
   Johnsen, O
   Olsen, JE
AF Molmann, Jorgen A.
   Junttila, Olavi
   Johnsen, Oystein
   Olsen, Jorunn E.
BE Moe, R
   Gislerod, HR
TI Light quality requirements in latitudinal populations of Norway spruce
SO PROCEEDINGS OF THE VTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIGHTING IN
   HORTICULTURE
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 5th International Symposium on Artificial Lighting in Horticulture
CY JUN 21-24, 2005-2006
CL Lillehammer, NORWAY
SP WebMaster, Bama, Hortilux Schreder, Res Council Norway, Jeffy, Gavita, NGF
DE climatic adaptation; provenances; spectral irradiance; Picea abies
ID FAR-RED LIGHT; EXTENSION GROWTH; ARABIDOPSIS; PHYTOCHROME
AB Seedlings of trees with a free growth pattern cease growth in night lengths shorter than a critical value. The critical night length decreases with increasing latitude of origin. The light quality also appears to play an important role and a clinal variation in requirement for far-red (FR) light has been documented. However, these studies used broad-spectrum light sources enriched in certain wavelength areas, covering also large ranges of wavelengths outside the activity maxima of phytochromes or cryptochromes. Recently, we performed studies in which we dissected the light quality requirements for maintaining growth in different latitudinal populations of Norway spruce using precisely defined wavelengths from light emitting diodes for red (R), far red (FR) or blue (B) light, as day extensions. At equal spectral photon flux, FR was more effective than R light in maintaining growth, but the requirement of both R and FR increased with northern latitude of origin. One-to-one mixtures of R and FR light were more effective maintaining growth than either FR or R light alone, suggesting the involvement of more than one species of phytochrome. B light as day extension did not prevent growth cessation, but delayed the bud set in all populations. Our results suggest that multiple phytochromes, or different photoisomers of one phytochrome, are the primary photoreceptors in high irradiance responses maintaining growth in Norway spruce seedlings.
C1 [Molmann, Jorgen A.; Junttila, Olavi] Univ Tromso, Dept Biol, N-9037 Tromso, Norway.
   [Johnsen, Oystein] Norwegian Inst Forestry Res, SKOGFORSK, N-1432 As, Norway.
   [Olsen, Jorunn E.] Norwegian Univ Life Sci, Dept Plant & Environm Sci, N-1432 As, Norway.
C3 UiT The Arctic University of Tromso; Skogforsk; Norwegian University of
   Life Sciences
RP Molmann, JA (corresponding author), Univ Tromso, Dept Biol, N-9037 Tromso, Norway.
EM jorunn.olsen@umb.no
RI Mølmann, Jørgen/AAM-4162-2021
CR CLAPHAM D, 1998, BIOL RHYTHMS PHOTOPE, P195
   Clapham DH, 2002, PHYSIOL PLANTARUM, V114, P207, DOI 10.1034/j.1399-3054.2002.1140206.x
   Clapham DH, 1998, PHYSIOL PLANTARUM, V102, P71, DOI 10.1034/j.1399-3054.1998.1020110.x
   Devlin PF, 2000, PLANT CELL, V12, P2499, DOI 10.1105/tpc.12.12.2499
   HABJORG A, 1972, NORGES LANDBRUKSHOGS, V51, P1
   JUNTTILA O, 1976, PHYSIOL PLANTARUM, V38, P278, DOI 10.1111/j.1399-3054.1976.tb04004.x
   Junttila O., 1985, Plant production in the north. Proceedings from 'Plant adaptation workshop', Tromso, Norway, 4-9 Sept. 1983, P83
   MOLMANN JA, 2005, PLANT CELL ENV, V28
   Shinomura T, 2000, PLANT PHYSIOL, V122, P147, DOI 10.1104/pp.122.1.147
   VAARTAJA O, 1959, ECOL MONOGR, V29, P91, DOI 10.2307/1942199
   Whitelam GC, 1997, PLANT CELL ENVIRON, V20, P752, DOI 10.1046/j.1365-3040.1997.d01-100.x
NR 11
TC 0
Z9 1
U1 1
U2 5
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 90-6605-539-1
J9 ACTA HORTIC
PY 2006
IS 711
BP 385
EP +
DI 10.17660/ActaHortic.2006.711.54
PG 4
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BFC22
UT WOS:000240982000054
DA 2025-01-10
ER

PT J
AU Lok, S
   Lau, TNH
   Trost, B
   Tong, AHY
   Paton, T
   Wintle, RF
   Engstrom, MD
   Gunn, A
   Scherer, SW
AF Lok, Si
   Lau, Timothy N. H.
   Trost, Brett
   Tong, Amy H. Y.
   Paton, Tara
   Wintle, Richard F.
   Engstrom, Mark D.
   Gunn, Anne
   Scherer, Stephen W.
TI Chromosomal-level reference genome assembly of muskox (<i>Ovibos
   moschatus</i>) from Banks Island in the Canadian Arctic, a resource for
   conservation genomics
SO SCIENTIFIC REPORTS
LA English
DT Article
DE Ovibos moschatus; Muskox; Umingmak; Continuous long read;
   Chromosomal-level assembly; Climate adaption; Climate change;
   Conservation genomics
ID MITOCHONDRIAL-DNA; GENETIC DIVERSITY; INNATE; LOCI; DOMESTICATION;
   RECOGNITION; MANAGEMENT; QUESTIONS; RECEPTORS; SHEEP
AB The muskox (Ovibos moschatus), an integral component and iconic symbol of arctic biocultural diversity, is under threat by rapid environmental disruptions from climate change. We report a chromosomal-level haploid genome assembly of a muskox from Banks Island in the Canadian Arctic Archipelago. The assembly has a contig N50 of 44.7 Mbp, a scaffold N50 of 112.3 Mbp, a complete representation (100%) of the BUSCO v5.2.2 set of 9225 mammalian marker genes and is anchored to the 24 chromosomes of the muskox. Tabulation of heterozygous single nucleotide variants in our specimen revealed a very low level of genetic diversity, which is consistent with recent reports of the muskox having the lowest genome-wide heterozygosity among the ungulates. While muskox populations are currently showing no overt signs of inbreeding depression, environmental disruptions are expected to strain the genomic resilience of the species. One notable impact of rapid climate change in the Arctic is the spread of emerging infectious and parasitic diseases in the muskox, as exemplified by the range expansion of muskox lungworms, and the recent fatal outbreaks of Erysipelothrix rhusiopathiae, a pathogen normally associated with domestic swine and poultry. As a genomics resource for conservation management of the muskox against existing and emerging disease modalities, we annotated the genes of the major histocompatibility complex on chromosome 2 and performed an initial assessment of the genetic diversity of this complex. This resource is further supported by the annotation of the principal genes of the innate immunity system, genes that are rapidly evolving and under positive selection in the muskox, genes associated with environmental adaptations, and the genes associated with socioeconomic benefits for Arctic communities such as wool (qiviut) attributes. These annotations will benefit muskox management and conservation.
C1 [Lok, Si; Lau, Timothy N. H.; Trost, Brett; Paton, Tara; Wintle, Richard F.; Scherer, Stephen W.] Hosp Sick Children, Ctr Appl Genom, Peter Gilgan Ctr Res & Learning, 686 Bay St,Rm 13-9713,Suite 03-6577, Toronto, ON M5G 0A4, Canada.
   [Lok, Si; Lau, Timothy N. H.; Trost, Brett; Paton, Tara; Wintle, Richard F.; Scherer, Stephen W.] Hosp Sick Children, Program Genet & Genome Biol, Toronto, ON M5G 0A4, Canada.
   [Trost, Brett] Hosp Sick Children, Program Mol Med, Toronto, ON M5G 0A4, Canada.
   [Tong, Amy H. Y.] Univ Toronto, Donnelly Ctr Cellular & Biomol Res, Toronto, ON M5S 3E1, Canada.
   [Engstrom, Mark D.] Royal Ontario Museum, Dept Nat Hist, Toronto, ON M5S 2C6, Canada.
   [Gunn, Anne] Salt Spring Isl, Vancouver, BC, Canada.
   [Scherer, Stephen W.] Univ Toronto, McLaughlin Ctr, Toronto, ON M5G 0A4, Canada.
   [Scherer, Stephen W.] Univ Toronto, Dept Mol Genet, Fac Med, Toronto, ON M5S 1A8, Canada.
C3 University of Toronto; Hospital for Sick Children (SickKids); University
   of Toronto; Hospital for Sick Children (SickKids); University of
   Toronto; Hospital for Sick Children (SickKids); University of Toronto;
   Royal Ontario Museum; University of Toronto; University of Toronto
RP Lok, S; Scherer, SW (corresponding author), Hosp Sick Children, Ctr Appl Genom, Peter Gilgan Ctr Res & Learning, 686 Bay St,Rm 13-9713,Suite 03-6577, Toronto, ON M5G 0A4, Canada.; Lok, S; Scherer, SW (corresponding author), Hosp Sick Children, Program Genet & Genome Biol, Toronto, ON M5G 0A4, Canada.; Scherer, SW (corresponding author), Univ Toronto, McLaughlin Ctr, Toronto, ON M5G 0A4, Canada.; Scherer, SW (corresponding author), Univ Toronto, Dept Mol Genet, Fac Med, Toronto, ON M5S 1A8, Canada.
EM si.lok@sickkids.ca; Stephen.scherer@sickkids.ca
RI Scherer, Stephen/B-3785-2013; Trost, Brett/K-4127-2016
OI Scherer, Stephen W./0000-0002-8326-1999
FU Lau Family Endowment for Genome Science Development; Genome Canada's
   Disruptive Innovation in Genomics Program [9425]; Canada Foundation for
   Innovation; Government of Ontario; Genome Canada through Ontario
   Genomics; Hospital for Sick Children (SickKids) Foundation; Northbridge
   Chair in Paediatric Research; Hospital for Sick Children; SickKids
   Foundation
FX This study was funded by the Lau Family Endowment for Genome Science
   Development and by Genome Canada's Disruptive Innovation in Genomics
   Program (Grant number 9425). The work was conducted at The Centre for
   Applied Genomics (TCAG) using infrastructure funded by the Canada
   Foundation for Innovation, and was operationally supported by the Canada
   Foundation for Innovation (CGEn Major Science Initiative), the
   Government of Ontario, Genome Canada through Ontario Genomics, and The
   Hospital for Sick Children (SickKids) Foundation. SWS holds the
   Northbridge Chair in Paediatric Research, a joint Hospital-University
   Chair between the University of Toronto, The Hospital for Sick Children,
   and the SickKids Foundation.
CR AASEN E, 1990, BIO-TECHNOL, V8, P1279, DOI 10.1038/nbt1290-1279
   Abbott B, 2011, ECOL ECON, V70, P721, DOI 10.1016/j.ecolecon.2010.11.006
   Abraha R, 2020, Arch Vet Sci, P2
   Ahmad HI, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00103
   Alberto FJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03206-y
   Allen JA., 1913, Mem. Am. Mus. Nat. Hist, V1, P105
   Allendorf FW, 2010, NAT REV GENET, V11, P697, DOI 10.1038/nrg2844
   Arango M.T., 2013, Autoimmunity: From Bench to Bedside
   Aristizbal B., 2013, Autoimmunity from Bench to Bedside
   Arthur JSC, 2013, NAT REV IMMUNOL, V13, P679, DOI 10.1038/nri3495
   Arzik Y, 2023, GENES-BASEL, V14, DOI 10.3390/genes14030713
   Atwood TB, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb8458
   Barr W., 1991, Rangifer, V11, P81
   Bauer S, 1999, SCIENCE, V285, P727, DOI 10.1126/science.285.5428.727
   Bermejo-Jambrina M, 2018, FRONT IMMUNOL, V9, DOI 10.3389/fimmu.2018.00590
   Blainville H.M. de., 1816, Bulletin des Sciences, V1816, P73
   Blix AS, 2016, J EXP BIOL, V219, P1093, DOI 10.1242/jeb.120477
   Bousoik E, 2018, FRONT ONCOL, V8, DOI 10.3389/fonc.2018.00287
   Brandies P, 2019, GENES-BASEL, V10, DOI 10.3390/genes10110846
   Brlek P, 2024, CELLS-BASEL, V13, DOI 10.3390/cells13060504
   Buschman VQ, 2023, ARCT SCI, V9, P714, DOI 10.1139/AS-2022-0025
   Chain PSG, 2009, SCIENCE, V326, P236, DOI 10.1126/science.1180614
   Chen HH, 2013, PROTEIN CELL, V4, P27, DOI 10.1007/s13238-012-2063-0
   Chen L, 2019, SCIENCE, V364, P1152, DOI 10.1126/science.aav6202
   Cohen JM, 2020, SCIENCE, V370, P933, DOI 10.1126/science.abb1702
   Coker OM., 2023, Genet. Biodivers. J, V7, P1
   Colella JP, 2020, TRENDS ECOL EVOL, V35, P149, DOI 10.1016/j.tree.2019.09.008
   Crépin AS, 2017, AMBIO, V46, P341, DOI 10.1007/s13280-017-0953-3
   Cruse JM., 2007, Cluster of Differentiation (CD) Antigens, DOI [10.1016/B978-012198382-6/50027-3, DOI 10.1016/B978-012198382-6/50027-3]
   Cuyler C, 2020, AMBIO, V49, P805, DOI 10.1007/s13280-019-01205-x
   De MacPhee R, 2005, BMC EVOL BIOL, V5, DOI 10.1186/1471-2148-5-49
   Deakin JE, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-281
   Dobrynin P, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0837-4
   Dou ML, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adf4068
   Dunkelberger JR, 2010, CELL RES, V20, P34, DOI 10.1038/cr.2009.139
   Dussex N, 2023, ISCIENCE, V26, DOI 10.1016/j.isci.2023.107811
   Dussex N, 2021, CELL GENOM, V1, DOI 10.1016/j.xgen.2021.100002
   Edge P, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12493-y
   Esche C, 2005, J INVEST DERMATOL, V125, P615, DOI 10.1111/j.0022-202X.2005.23841.x
   Ewing B, 1998, GENOME RES, V8, P186, DOI 10.1101/gr.8.3.186
   Falk JM, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/045001
   Forde TL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01759
   Formenti G, 2022, TRENDS ECOL EVOL, V37, P197, DOI 10.1016/j.tree.2021.11.008
   Franchi L, 2009, IMMUNOL REV, V227, P106, DOI 10.1111/j.1600-065X.2008.00734.x
   GALLAGHER DS, 1992, J HERED, V83, P287, DOI 10.1093/oxfordjournals.jhered.a111215
   Gavran Mirna, 2021, Agriculturae Conspectus Scientificus, V86, P195
   Georges M, 2007, ANNU REV GENOM HUM G, V8, P131, DOI 10.1146/annurev.genom.8.080706.092408
   Georges M, 2019, NAT REV GENET, V20, P135, DOI 10.1038/s41576-018-0082-2
   Glover R., 1953, Oryx, V2, P76, DOI 10.1017/S0030605300036371
   Goel M, 2022, BIOINFORMATICS, V38, P2922, DOI 10.1093/bioinformatics/btac196
   Gong H, 2016, GENES-BASEL, V7, DOI 10.3390/genes7060024
   Groh V, 1996, P NATL ACAD SCI USA, V93, P12445, DOI 10.1073/pnas.93.22.12445
   Groves P, 1997, CAN J ZOOL, V75, P568, DOI 10.1139/z97-070
   Gruen JR, 2001, FRONT BIOSCI-LANDMRK, V6, pD960, DOI 10.2741/Gruen
   GUNN A, 1991, ARCTIC, V44, P188
   Gunn A., 2022, The IUCN Red List of Threaten Species
   Hansen CCR, 2018, CURR BIOL, V28, P4022, DOI 10.1016/j.cub.2018.10.054
   Heck HD., 1968, Sugetiek. Mitt, V33, P172
   Helfferich Deirdre, 2007, Agroborealis, V39, P10
   Helfferich Deirdre, 2007, Agroborealis, V39, P29
   Helfferich Deirdre, 2006, Agroborealis, V38, P18
   Hohenlohe PA, 2021, MOL ECOL, V30, P62, DOI 10.1111/mec.15720
   Holm LE, 1999, MOL ECOL, V8, P675, DOI 10.1046/j.1365-294x.1999.00615.x
   Horton R, 2004, NAT REV GENET, V5, P889, DOI 10.1038/nrg1489
   Hueffer K, 2011, ACTA VET SCAND, V53, DOI 10.1186/1751-0147-53-17
   Hunter P, 2018, EMBO REP, V19, P201, DOI 10.15252/embr.201745664
   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]
   Jackman SD, 2017, GENOME RES, V27, P768, DOI 10.1101/gr.214346.116
   Kafle P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-74358-5
   Kak Gunjan, 2018, BioMolecular Concepts, V9, P64, DOI 10.1515/bmc-2018-0007
   Kalds P, 2022, GENET SEL EVOL, V54, DOI 10.1186/s12711-022-00753-3
   Kawai T, 2006, NAT IMMUNOL, V7, P131, DOI 10.1038/ni1303
   Kawai T, 2011, IMMUNITY, V34, P637, DOI 10.1016/j.immuni.2011.05.006
   Khan S, 2016, INT J GENOMICS, V2016, DOI 10.1155/2016/3460416
   Knapp LA, 2005, EVOL ANTHROPOL, V14, P28, DOI 10.1002/evan.20038
   Kolmogorov M, 2019, NAT BIOTECHNOL, V37, P540, DOI 10.1038/s41587-019-0072-8
   Koren S, 2012, NAT BIOTECHNOL, V30, P692, DOI 10.1038/nbt.2280
   Kulemzina AI, 2014, BMC GENET, V15, DOI 10.1186/1471-2156-15-68
   Kulski JK, 2019, CELLS-BASEL, V8, DOI 10.3390/cells8101270
   Kutz S, 2017, ARCTIC, V70, P225
   Kutz S, 2015, CAN VET J, V56, P560
   Kutz SJ, 2013, GLOBAL CHANGE BIOL, V19, P3254, DOI 10.1111/gcb.12315
   Larson G, 2011, CURR ANTHROPOL, V52, pS485, DOI 10.1086/658401
   LENT P C, 1988, Mammalian Species, P1, DOI 10.2307/3504280
   Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li MM, 2023, P ROY SOC B-BIOL SCI, V290, DOI 10.1098/rspb.2023.0538
   Li SB, 2017, GENES-BASEL, V8, DOI 10.3390/genes8080204
   Lok S, 2022, G3-GENES GENOM GENET, V12, DOI 10.1093/g3journal/jkac138
   Longo MS, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016410
   Lou DI, 2013, P NATL ACAD SCI USA, V110, P19872, DOI 10.1073/pnas.1319590110
   Lukacs M, 2023, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.1058674
   Madsen J, 2017, AMBIO, V46, P275, DOI 10.1007/s13280-016-0888-0
   Mahmoud M, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1828-7
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   McNab F, 2015, NAT REV IMMUNOL, V15, P87, DOI 10.1038/nri3787
   Mesev EV, 2019, NAT MICROBIOL, V4, P914, DOI 10.1038/s41564-019-0421-x
   Mikko S, 1999, IMMUNOL REV, V167, P169, DOI 10.1111/j.1600-065X.1999.tb01390.x
   Moll R, 2008, HISTOCHEM CELL BIOL, V129, P705, DOI 10.1007/s00418-008-0435-6
   Morris K, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2012.0900
   Mosbacher JB, 2016, ARCT ANTARCT ALP RES, V48, P229, DOI 10.1657/AAAR0015-034
   Mosbacher JB, 2019, ECOSYSTEMS, V22, P1095, DOI 10.1007/s10021-018-0323-4
   Moyers BT, 2018, J HERED, V109, P103, DOI 10.1093/jhered/esx069
   Nam M, 2015, FRONT ENDOCRINOL, V6, DOI 10.3389/fendo.2015.00104
   Okulewicz Anna, 2017, Annals of Parasitology, V63, P15, DOI 10.17420/ap6301.79
   Omazic A, 2019, ACTA VET SCAND, V61, DOI 10.1186/s13028-019-0490-0
   Paez S, 2022, SCIENCE, V377, P364, DOI 10.1126/science.abm8127
   Paludan SR, 2021, NAT REV IMMUNOL, V21, P137, DOI 10.1038/s41577-020-0391-5
   Pan BH, 2022, GENOME BIOL, V23, DOI 10.1186/s13059-021-02569-8
   Parkinson Alan J, 2014, Int J Circumpolar Health, V73, P25163, DOI 10.3402/ijch.v73.25163
   Penerov P., 2024, Mol. Ecol, V33, DOI [10.1111/mec.17205, DOI 10.1111/MEC.17205]
   Prewer E, 2022, GENES-BASEL, V13, DOI 10.3390/genes13050809
   Prewer E, 2020, BIOL J LINN SOC, V129, P459, DOI 10.1093/biolinnean/blz175
   Proskuryakova AA, 2023, CYTOGENET GENOME RES, V162, P312, DOI 10.1159/000527349
   Proskuryakova AA, 2019, GENES-BASEL, V10, DOI 10.3390/genes10110857
   Radwan J, 2010, BIOL CONSERV, V143, P537, DOI 10.1016/j.biocon.2009.07.026
   Rehwinkel J, 2020, NAT REV IMMUNOL, V20, P537, DOI 10.1038/s41577-020-0288-3
   Rhie A, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02134-9
   Richly E, 2004, MOL BIOL EVOL, V21, P1081, DOI 10.1093/molbev/msh110
   Rohr JR, 2020, PLOS BIOL, V18, DOI 10.1371/journal.pbio.3000938
   Rowell JE, 2001, J ANIM SCI, V79, P1670
   Rubes J, 2012, CYTOGENET GENOME RES, V137, P194, DOI 10.1159/000338932
   Castruita JAS, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-06940-0
   Sedy J, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a016279
   Sharma P., 2024, J. Adv. Biol. Biotechnol, V27, P303, DOI [10.9734/jabb/2024/v27i5790, DOI 10.9734/JABB/2024/V27I5790]
   Shiina T, 2009, J HUM GENET, V54, P15, DOI 10.1038/jhg.2008.5
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Simpson JT, 2014, BIOINFORMATICS, V30, P1228, DOI 10.1093/bioinformatics/btu023
   Sokol CL, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a016303
   Sommer Simone, 2005, Frontiers in Zoology, V2, P1, DOI 10.1186/1742-9994-2-16
   Van der Auwera Geraldine A, 2013, Curr Protoc Bioinformatics, V43, DOI [10.1002/0471250953.bi1201s43, 10.1002/0471250953.bi1110s43]
   Sulayman A, 2018, ASIAN AUSTRAL J ANIM, V31, P775, DOI 10.5713/ajas.17.0349
   Tarailo-Graovac Maja, 2009, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0410s25
   Teixeira JC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015096118
   Teletchea F., 2017, Global exposition of wildlife management, P1, DOI DOI 10.5772/65660
   Tener JS., 1965, Muskoxen in Canada, P166
   Theissinger K, 2023, TRENDS GENET, V39, P545, DOI 10.1016/j.tig.2023.01.005
   TIETZ WJ, 1967, CAN J ZOOLOG, V45, P235, DOI 10.1139/z67-032
   Tomaselli M, 2019, ECOHEALTH, V16, P488, DOI 10.1007/s10393-019-01433-3
   Tomaselli M, 2018, ARCTIC, V71, P1, DOI 10.14430/arctic4697
   Tong C, 2024, P ROY SOC B-BIOL SCI, V291, DOI 10.1098/rspb.2023.2448
   Triant DA, 2007, GENE, V401, P61, DOI 10.1016/j.gene.2007.07.003
   Ujvari B, 2011, INT J MOL SCI, V12, P5168, DOI 10.3390/ijms12085168
   Upadhyay G, 2019, FRONT IMMUNOL, V10, DOI 10.3389/fimmu.2019.00819
   Valeri M, 2016, PATHOG DIS, V74, DOI 10.1093/femspd/ftw111
   van Beest FM, 2020, ROY SOC OPEN SCI, V7, DOI 10.1098/rsos.201614
   Van Coeverden de Groot P. J.V. C., 2001, Conservation Genetic Implications of Microsatellite in the Muskox Ovibos moschatus: The Effect of Refugial Isolation and the Arctic Ocean on Genetic Structure
   van Oort BEH, 2005, NATURE, V438, P1095, DOI 10.1038/4381095a
   Von Bergen W., 1932, Melliand Text. Mon, V3, P844
   Wakchaure R., 2015, J. Drug Metab. Toxicol, V6, P1, DOI [10.4172/2157-7609.1000e127, DOI 10.4172/2157-7609.1000E127]
   Wallach D, 2018, CSH PERSPECT BIOL, V10, DOI 10.1101/cshperspect.a028431
   Warburton PE, 2023, ANNU REV GENOM HUM G, V24, P109, DOI 10.1146/annurev-genom-101722-103045
   Wenger AM, 2019, NAT BIOTECHNOL, V37, P1155, DOI 10.1038/s41587-019-0217-9
   Wilkinson P.F., 1974, Polar Record, V17, P13
   Willi Y, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2105076119
   Wilson D. E., 2005, Mammal Species of the World. A Taxonomic and Geographic Reference, V3
   WMO Report, 2023, WMO-No. 1338
   Worku D, 2023, FRONT VET SCI, V10, DOI 10.3389/fvets.2023.1151241
   Wright BR, 2020, MOL ECOL RESOUR, V20, P1526, DOI 10.1111/1755-0998.13211
   Wu DD, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-241
   Wullschleger SD, 2015, MOL ECOL, V24, P2301, DOI 10.1111/mec.13166
   Xu D, 2020, FRONT IMMUNOL, V11, DOI 10.3389/fimmu.2020.00764
   Zeng LL, 2023, ANIM BIOTECHNOL, V34, P1840, DOI 10.1080/10495398.2022.2047995
   Zhang HW, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-07227-0
   Zhang WT, 2023, ANIMALS-BASEL, V13, DOI 10.3390/ani13182944
   Zheng ZQ, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz5216
   Zhou HT, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms222312838
   Ziegler A, 2005, TRENDS IMMUNOL, V26, P496, DOI 10.1016/j.it.2005.07.003
   Zimmermann FAW., 1780, Geographische Geschichte des Menschen und der Vierfusigen Thiere, P86
   Zverinova S, 2022, HUM MUTAT, V43, P976, DOI 10.1002/humu.24311
NR 170
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 SEP 16
PY 2024
VL 14
IS 1
AR 21023
DI 10.1038/s41598-024-67270-9
PG 23
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA J4W1N
UT WOS:001337075200005
PM 39284808
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Peláez, P
   Lorenzana, GP
   Baesen, K
   Montes, JR
   de la Torre, AR
AF Pelaez, Pablo
   Lorenzana, Gustavo P.
   Baesen, Kailey
   Montes, Jose Ruben
   de la Torre, Amanda R.
TI Spatially heterogeneous selection and inter-varietal differentiation
   maintain population structure and local adaptation in a widespread
   conifer
SO BMC ECOLOGY AND EVOLUTION
LA English
DT Article
DE Douglas-fir; Hybridization; Single nucleotide polymorphisms; Population
   structure; Genetic diversity; Local adaptation
ID DOUGLAS-FIR; R-PACKAGE; MITOCHONDRIAL; MODEL; PHYLOGEOGRAPHY;
   INTERVARIETAL; CHLOROPLAST; TRANSPORT; HYBRIDS; STRESS
AB BackgroundDouglas-fir (Pseudotsuga menziesii [Mirb.] Franco) plays a critical role in the ecology and economy of Western North America. This conifer species comprises two distinct varieties: the coastal variety (var. menziesii) along the Pacific coast, and the interior variety (var. glauca) spanning the Rocky Mountains into Mexico, with instances of inter-varietal hybridization in Washington and British Columbia. Recent investigations have focused on assessing environmental pressures shaping Douglas-fir's genomic variation for a better understanding of its evolutionary and adaptive responses. Here, we characterize range-wide population structure, estimate inter-varietal hybridization levels, identify candidate loci for climate adaptation, and forecast shifts in species and variety distribution under future climates.ResultsUsing a custom SNP-array, we genotyped 540 trees revealing four distinct clusters with asymmetric admixture patterns in the hybridization zone. Higher genetic diversity observed in coastal and hybrid populations contrasts with lower diversity in inland populations of the southern Rockies and Mexico, exhibiting a significant isolation by distance pattern, with less marked but still significant isolation by environment. For both varieties, we identified candidate loci associated with local adaptation, with hundreds of genes linked to processes such as stimulus response, reactions to chemical compounds, and metabolic functions. Ecological niche modeling revealed contrasting potential distribution shifts among the varieties in the coming decades, with interior populations projected to lose habitat and become more vulnerable, while coastal populations are expected to gain suitable areas.ConclusionsOverall, our findings provide crucial insights into the population structure and adaptive potential of Douglas-fir, with the coastal variety being the most likely to preserve its evolutionary path throughout the present century, which carry implications for the conservation and management of this species across their range.
C1 [Pelaez, Pablo; Lorenzana, Gustavo P.; Baesen, Kailey; de la Torre, Amanda R.] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA.
   [Montes, Jose Ruben] Univ Nacl Autonoma Mexico, Inst Biol, Mexico City, Mexico.
C3 Northern Arizona University; Universidad Nacional Autonoma de Mexico
RP de la Torre, AR (corresponding author), No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA.
EM Amanda.de-la-torre@nau.edu
RI Montes, José Ruben/IRZ-9367-2023; Lorenzana, Gustavo/AAD-7505-2020
OI Lorenzana, Gustavo/0000-0003-3980-1908
FU National Science Foundation [2145834]
FX This project was supported by the National Science Foundation [CAREER
   project 2145834] to A.R.D.L.T.
CR Acevedo-Rodríguez R, 2006, AGROCIENCIA-MEXICO, V40, P125
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Anderson EC, 2002, GENETICS, V160, P1217
   Bak G, 2013, PLANT CELL, V25, P2202, DOI 10.1105/tpc.113.110411
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P947, DOI 10.1111/gcb.12719
   Bu DC, 2021, NUCLEIC ACIDS RES, V49, pW317, DOI 10.1093/nar/gkab447
   Campbell JL, 2017, ECOL PROCESS, V6, DOI 10.1186/s13717-017-0073-9
   Candido-Ribeiro R, 2024, NEW PHYTOL, V241, P2395, DOI 10.1111/nph.19543
   Compton S, 2023, AOB PLANTS, V15, DOI 10.1093/aobpla/plad008
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Cruz-Nicolás J, 2011, REV FITOTEC MEX, V34, P233
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   De La Torre AR, 2021, GENES-BASEL, V12, DOI 10.3390/genes12010110
   Dominguez-Alvarez FA, 1994, Folleto Tecnico INIFAP, P43
   Eckert AJ, 2009, GENETICS, V183, P289, DOI 10.1534/genetics.109.103895
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Elsen PR, 2022, GLOBAL CHANGE BIOL, V28, P918, DOI 10.1111/gcb.15962
   Feng L, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.822217
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   George JP, 2021, ECOL EVOL, V11, P8238, DOI 10.1002/ece3.7654
   Gould PJ, 2011, CAN J FOREST RES, V41, P139, DOI 10.1139/X10-191
   Gruber B, 2018, MOL ECOL RESOUR, V18, P691, DOI 10.1111/1755-0998.12745
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Gugger PF, 2010, MOL ECOL, V19, P1877, DOI 10.1111/j.1365-294X.2010.04622.x
   Hermann RK, 1985, Forest Research Laboratory Special Publication, V2b
   Hess M, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3022-6
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hintsteiner WJ, 2018, EUR J FOREST RES, V137, P447, DOI 10.1007/s10342-018-1115-2
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   Jermstad KD, 2003, GENETICS, V165, P1489
   Jiang CZ, 1997, GENETICS, V147, P1401
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Kass JM, 2023, ECOGRAPHY, V2023, DOI 10.1111/ecog.06547
   Kopelman NM, 2015, MOL ECOL RESOUR, V15, P1179, DOI 10.1111/1755-0998.12387
   Krishnamurthy P, 2021, PHYSIOL PLANTARUM, V172, P1673, DOI 10.1111/ppl.13371
   LI P, 1989, CAN J FOREST RES, V19, P149, DOI 10.1139/x89-022
   Li YS, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00742
   Little E.L., 1971, Atlas of the United States trees, VI.
   Luu K, 2017, MOL ECOL RESOUR, V17, P67, DOI 10.1111/1755-0998.12592
   Marias DE, 2017, TREE PHYSIOL, V37, P301, DOI 10.1093/treephys/tpw117
   Menon M, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01632-7
   Montwé D, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0854-1
   Müller T, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-014-0816-z
   Nelson TC, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009095
   Neophytou C, 2016, EUR J FOREST RES, V135, P465, DOI 10.1007/s10342-016-0946-y
   Ochoa A, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009241
   Ogawa T, 2005, PLANT PHYSIOL, V138, P1436, DOI 10.1104/pp.105.063586
   Périé C, 2016, PEERJ, V4, DOI 10.7717/peerj.2218
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2017, ECOGRAPHY, V40, P887, DOI 10.1111/ecog.03049
   Pih KT, 1999, MOL CELLS, V9, P84
   REHFELDT GE, 1977, THEOR APPL GENET, V50, P3, DOI 10.1007/BF00273790
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P126, DOI 10.1016/j.foreco.2014.02.035
   Reyes-Hernández VJ, 2006, AGROCIENCIA-MEXICO, V40, P545
   Rieseberg LH, 2003, PHILOS T R SOC B, V358, P1141, DOI 10.1098/rstb.2003.1283
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   SCHOENER TW, 1968, ECOLOGY, V49, P704, DOI 10.2307/1935534
   Silen RR, 1978, United States Forest Service Research Paper WO-35
   Song PZ, 2023, GENOME BIOL, V24, DOI 10.1186/s13059-023-02947-4
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   van Loo M, 2015, ECOL EVOL, V5, P1802, DOI 10.1002/ece3.1435
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wei XX, 2011, TREE GENET GENOMES, V7, P1025, DOI 10.1007/s11295-011-0392-4
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Willige BC, 2013, PLANT CELL, V25, P1674, DOI 10.1105/tpc.113.111484
   Xie LJ, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005143
   Zhao YR, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110072
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
   Zhu Q, 2014, MOL PLANT, V7, P290, DOI 10.1093/mp/sst102
NR 69
TC 0
Z9 0
U1 7
U2 7
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
EI 2730-7182
J9 BMC ECOL EVOL
JI BMC Ecol. Evol.
PD SEP 3
PY 2024
VL 24
IS 1
AR 117
DI 10.1186/s12862-024-02304-4
PG 16
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA E6I5F
UT WOS:001304021300001
PM 39227766
OA gold
DA 2025-01-10
ER

PT J
AU Hu, KJ
   Wang, SY
   Fei, FR
   Song, JL
   Chen, F
   Zhao, Q
   Shen, YJ
   Fu, JQ
   Zhang, YQ
   Cheng, J
   Zhong, JM
   Yang, XC
   Wu, JY
AF Hu, Kejia
   Wang, Shiyi
   Fei, Fangrong
   Song, Jinglu
   Chen, Feng
   Zhao, Qi
   Shen, Yujie
   Fu, Jingqiao
   Zhang, Yunquan
   Cheng, Jian
   Zhong, Jieming
   Yang, Xuchao
   Wu, Jiayu
TI Modifying temperature-related cardiovascular mortality through
   green-blue space exposure
SO ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
LA English
DT Article
DE Green space; Blue space; Temperature; Mortality; China
ID HEAT-RELATED MORTALITY; ISLAND; COOL; POPULATION; VEGETATION; PROXIMITY;
   DISEASES
AB Green-blue spaces (GBS) are pivotal in mitigating thermal discomfort. However, their management lacks guidelines rooted in epidemiological evidence for specific planning and design. Here we show how various GBS types modify the link between non-optimal temperatures and cardiovascular mortality across different thermal extremes. We merged fine-scale population density and GBS data to create novel GBS exposure index. A case time series approach was employed to analyse temperature-cardiovascular mortality association and the effect modifications of type-specific GBSs across 1085 subdistricts in south-eastern China. Our findings indicate that both green and blue spaces may significantly reduce high-temperature-related cardiovascular mortality risks (e.g., for low (5%) vs. high (95%) level of overall green spaces at 99th vs. minimum mortality temperature (MMT), Ratio of relative risk (RRR) = 1.14 (95% CI: 1.07, 1.21); for overall blue spaces, RRR = 1.20 (95% CI: 1.12,1.29)), while specific blue space types offer protection against cold temperatures (e.g., for the rivers at 1st vs MMT, RRR = 1.17 (95% CI: 1.07, 1.28)). Notably, forests, parks, nature reserves, street greenery, and lakes are linked with lower heat-related cardiovascular mortality, whereas rivers and coasts mitigate cold-related cardiovascular mortality. Blue spaces provide greater benefits than green spaces. The severity of temperature extremes further amplifies GBS's protective effects. This study enhances our understanding of how type-specific GBS influences health risks associated with non-optimal temperatures, offering valuable insights for integrating GBS into climate adaptation strategies for maximal health benefits. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Hu, Kejia; Shen, Yujie] Zhejiang Univ, Sch Publ Hlth, Hangzhou 310058, Peoples R China.
   [Hu, Kejia] Key Lab Intelligent Prevent Med Zhejiang Prov, Hangzhou 310058, Peoples R China.
   [Wang, Shiyi; Wu, Jiayu] Zhejiang Univ, Coll Agr & Biotechnol, Hangzhou 310058, Peoples R China.
   [Fei, Fangrong; Zhong, Jieming] Zhejiang Prov Ctr Dis Control & Prevent, Hangzhou 310051, Peoples R China.
   [Song, Jinglu] Xian Jiaotong Liverpool Univ, Dept Urban Planning & Design, Suzhou 215123, Peoples R China.
   [Chen, Feng] Zhejiang Inst Meteorol Sci, Hangzhou 310008, Peoples R China.
   [Zhao, Qi] Shandong Univ, Sch Publ Hlth, Jinan 250012, Peoples R China.
   [Fu, Jingqiao; Yang, Xuchao] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China.
   [Zhang, Yunquan] Wuhan Univ Sci & Technol, Sch Publ Hlth, Wuhan 430065, Peoples R China.
   [Cheng, Jian] Anhui Med Univ, Sch Publ Hlth, Hefei 230032, Peoples R China.
C3 Zhejiang University; Zhejiang University; Zhejiang Provincial Center for
   Disease Control & Prevention; Xi'an Jiaotong-Liverpool University;
   Shandong University; Zhejiang University; Wuhan University of Science &
   Technology; Anhui Medical University
RP Wu, JY (corresponding author), Zhejiang Univ, Coll Agr & Biotechnol, Hangzhou 310058, Peoples R China.; Zhong, JM (corresponding author), Zhejiang Prov Ctr Dis Control & Prevent, Hangzhou 310051, Peoples R China.; Yang, XC (corresponding author), Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China.
EM jmzhong@cdc.zj.cn; yangxuchao@zju.edu.cn; wujiayula@zju.edu.cn
RI Wu, Jiayu/JFE-7136-2023; Yang, Xuchao/D-2438-2016; Zhang,
   Yunquan/M-9828-2017; Song, Jinglu/AGZ-8138-2022
OI Chen, Feng/0000-0002-0105-3273; Zhang, Yunquan/0000-0002-2618-5088;
   Song, Jinglu/0000-0002-5220-6364; Hu, Kejia/0000-0002-1175-3580;
   Jingqiao, Fu/0000-0002-0067-5337
FU National Natural Science Foundation of China [42001013, 41971019,
   32271935]; Zhejiang Provincial Natural Science Foundation of China
   [Y23D050006]; Key Laboratory of Intelligent Preventive Medicine of
   Zhejiang Province, China [2020E10004]; Leading Innovative and
   Entre-preneur Team Introduction Program of Zhejiang [2019R01007];
   Healthy Zhejiang One Million People Cohort [20230085]
FX The study was supported by the National Natural Science Foundation of
   China (42001013, 41971019, 32271935) , the Zhejiang Provincial Natural
   Science Foundation of China (Y23D050006) , the Key Laboratory of
   Intelligent Preventive Medicine of Zhejiang Province, China (2020E10004)
   , the Leading Innovative and Entrepreneur Team Introduction Program of
   Zhejiang (2019R01007) , and the Healthy Zhejiang One Million People
   Cohort (20230085) .
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Al-Kindi S, 2023, EUR J PREV CARDIOL, V30, P1623, DOI 10.1093/eurjpc/zwad130
   Alahmad B, 2023, CIRCULATION, V147, P35, DOI 10.1161/CIRCULATIONAHA.122.061832
   Altman DG, 2003, BMJ-BRIT MED J, V326, P219, DOI 10.1136/bmj.326.7382.219
   Ampatzidis P, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.139068
   [Anonymous], 2011, Zhejiang statistical yearbook
   Barnett AG, 2007, EPIDEMIOLOGY, V18, P369, DOI 10.1097/01.ede.0000257515.34445.a0
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Burkart K, 2016, ENVIRON HEALTH PERSP, V124, P927, DOI 10.1289/ehp.1409529
   Chang CR, 2007, LANDSCAPE URBAN PLAN, V80, P386, DOI 10.1016/j.landurbplan.2006.09.005
   Chen K, 2016, ENVIRON HEALTH PERSP, V124, P1863, DOI 10.1289/EHP204
   Chen LCE, 2018, LECT NOTES COMPUT SC, V11211, P833, DOI 10.1007/978-3-030-01234-2_49
   Choi HM, 2022, EBIOMEDICINE, V84, DOI 10.1016/j.ebiom.2022.104251
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Du HY, 2016, ECOL INDIC, V67, P31, DOI 10.1016/j.ecolind.2016.02.040
   Gasparrini A, 2010, STAT MED, V29, P2224, DOI 10.1002/sim.3940
   Gasparrini A, 2022, LANCET PLANET HEALTH, V6, pE557, DOI 10.1016/S2542-5196(22)00138-3
   Gasparrini A, 2022, BMC MED RES METHODOL, V22, DOI 10.1186/s12874-022-01612-x
   Gasparrini A, 2017, LANCET PLANET HEALTH, V1, pE360, DOI 10.1016/S2542-5196(17)30156-0
   Gu SH, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105889
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Guo YM, 2014, EPIDEMIOLOGY, V25, P781, DOI 10.1097/EDE.0000000000000165
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Hooyberg A, 2020, ENVIRON RES, V184, DOI 10.1016/j.envres.2020.109225
   Hu KJ, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP3556
   Huang JX, 2014, INT J ENV RES PUB HE, V11, P3982, DOI 10.3390/ijerph110403982
   Liu HY, 2022, ENVIRON INT, V169, DOI 10.1016/j.envint.2022.107520
   Ma LY, 2020, J GERIATR CARDIOL, V17, P1, DOI 10.11909/j.issn.1671-5411.2020.01.001
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   McDougall CW, 2022, LANDSCAPE URBAN PLAN, V224, DOI 10.1016/j.landurbplan.2022.104446
   Meili N, 2021, URBAN FOR URBAN GREE, V58, DOI 10.1016/j.ufug.2020.126970
   Monteiro MV, 2016, URBAN FOR URBAN GREE, V16, P160, DOI 10.1016/j.ufug.2016.02.008
   MORISON JIL, 1983, PLANT PHYSIOL, V71, P789, DOI 10.1104/pp.71.4.789
   Moyer AN, 2017, URBAN CLIM, V21, P262, DOI 10.1016/j.uclim.2017.07.004
   Pan R, 2022, ENVIRON HEALTH PERSP, V130, DOI 10.1289/EHP9943
   Pasanen TP, 2019, ENVIRON INT, V131, DOI 10.1016/j.envint.2019.105016
   Pascal M, 2021, ENVIRON INT, V151, DOI 10.1016/j.envint.2021.106441
   Peng J, 2020, LANDSCAPE URBAN PLAN, V202, DOI 10.1016/j.landurbplan.2020.103873
   Peng SS, 2014, P NATL ACAD SCI USA, V111, P2915, DOI 10.1073/pnas.1315126111
   Rahman MA, 2019, URBAN ECOSYST, V22, P683, DOI 10.1007/s11252-019-00853-x
   Rojas-Rueda D, 2019, LANCET PLANET HEALTH, V3, pE469, DOI 10.1016/S2542-5196(19)30215-3
   Roth GA, 2020, J AM COLL CARDIOL, V76, P2982, DOI 10.1016/j.jacc.2020.11.010
   Schatz J, 2016, INT J CLIMATOL, V36, P4873, DOI 10.1002/joc.4675
   Solcerova A, 2017, BUILD ENVIRON, V111, P249, DOI 10.1016/j.buildenv.2016.10.021
   Son JY, 2016, ENVIRON RES, V151, P728, DOI 10.1016/j.envres.2016.09.001
   Song JL, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156127
   Sun RH, 2012, LANDSCAPE URBAN PLAN, V105, P27, DOI 10.1016/j.landurbplan.2011.11.018
   Sun ZB, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107231
   Theeuwes NE, 2013, J GEOPHYS RES-ATMOS, V118, P8881, DOI 10.1002/jgrd.50704
   White MP, 2014, PREV MED, V69, P135, DOI 10.1016/j.ypmed.2014.09.016
   Yang J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21305-1
   Ye TT, 2019, SCI TOTAL ENVIRON, V658, P936, DOI 10.1016/j.scitotenv.2018.12.276
   Yu WW, 2011, HEART, V97, P1089, DOI 10.1136/hrt.2010.217166
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
NR 54
TC 1
Z9 1
U1 30
U2 43
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-4984
J9 ENVIRON SCI ECOTECH
JI Env. Sci. Ecotechnol.
PD JUL
PY 2024
VL 20
AR 100408
DI 10.1016/j.ese.2024.100408
EA MAR 2024
PG 9
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QS1G5
UT WOS:001222762000001
PM 38560758
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Wu, JX
   Liu, L
   Yang, HJ
AF Wu, Jiaxin
   Liu, Lei
   Yang, Hongjuan
TI Development paths of people's sustainable livelihood based on climate
   change: a case study of Yunnan minority areas
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change; Livelihood vulnerability; Sustainable livelihood; System
   dynamics model; Path of coordinated development
ID HEALTH-INSURANCE; VULNERABILITY; WILLINGNESS; ADAPTATION; FRAMEWORK;
   IMPACTS; EVENTS; TRENDS; MODEL; JOIN
AB Purpose - This study aims to evaluate the characteristics of climate change in Yunnan minority areas and identify an effective path to promote sustainable livelihoods based on climate change.
   Design/methodology/approach - Taking Yunnan Province as an example, based on the expansion of the traditional sustainable livelihood framework, the authors constructed a system dynamics (SD) model of sustainable livelihood from the six subsystems of natural, physical, financial, social, human and cultural and tested the accuracy and effectiveness of the model with data from Cangyuan County. By adjusting these parameters, five development paths are designed to simulate the future situation of the livelihood system and determine the optimal path.
   Findings - Climate change has exacerbated the vulnerability of people's livelihoods. In future, each of the five development paths will be advantageous for promoting sustainable livelihoods. However, compared with Path I (maintaining the status quo), Path III (path of giving priority to culture) and Path IV (path of giving priority to economic development) have more obvious advantages. Path II (path of giving priority to people's lives) gradually increases the development rate by promoting people's endogenous motivation, and Path V (path of coordinated development) is better than the other paths because of its more balanced consideration.
   Originality/value - The analytical framework of sustainable livelihoods based on the characteristics of minority areas is broadened. By constructing a SD model of the livelihood system, the limitations of traditional static analysis have been overcome and a development path for promoting sustainable livelihoods through simulation is proposed. This study offers a theoretical framework and reference method for livelihood research against the backdrop of climate change and a decision-making basis for enhancing climate adaptability and realizing sustainable livelihoods.
C1 [Wu, Jiaxin; Yang, Hongjuan] Kunming Univ Sci & Technol, Fac Management & Econ, Kunming, Yunnan, Peoples R China.
   [Liu, Lei] Kunming Univ Sci & Technol, Informatizat Construct Management Ctr, Kunming, Yunnan, Peoples R China.
C3 Kunming University of Science & Technology; Kunming University of
   Science & Technology
RP Yang, HJ (corresponding author), Kunming Univ Sci & Technol, Fac Management & Econ, Kunming, Yunnan, Peoples R China.
EM yhj@stu.kust.edu
FU Natural Science Foundation of China [72064025]; Ministry of Education
   Planning Fund [20XJA630002]
FX This work was supported by the Natural Science Foundation of China
   [grant numbers 72064025] and the Ministry of Education Planning Fund
   [grant numbers 20XJA630002].
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ani KJ, 2022, INT J CLIM CHANG STR, V14, P148, DOI 10.1108/IJCCSM-11-2020-0119
   Aryal S, 2018, ENVIRON DEV, V25, P73, DOI 10.1016/j.envdev.2017.09.001
   Babar Shahbaz Babar Shahbaz, 2007, Mitigation and Adaptation Strategies for Global Change, V12, P441, DOI 10.1007/s11027-006-9050-9
   Bateman IJ, 2020, NAT SUSTAIN, V3, P776, DOI 10.1038/s41893-020-0552-3
   Chandio AA, 2022, ECOL INFORM, V71, DOI 10.1016/j.ecoinf.2022.101778
   Chandio AA, 2023, J ENVIRON PLANN MAN, V66, P169, DOI 10.1080/09640568.2021.1980378
   Chandio AA, 2022, INT J CLIM CHANG STR, V14, P125, DOI 10.1108/IJCCSM-10-2020-0111
   Chandio AA, 2020, INT J CLIM CHANG STR, V12, P201, DOI 10.1108/IJCCSM-05-2019-0026
   Cheng J.G., 2010, J YUNNAN NORMAL U HU, V42, P1
   [程建刚 CHENG Jiangang], 2008, [地理科学进展, Progress in Geography], V27, P19
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Ding WQ, 2014, RANGELAND J, V36, P535, DOI 10.1071/RJ13051
   Doloisio N, 2020, POLAR SCI, V26, DOI 10.1016/j.polar.2020.100589
   [段玮 Duan Wei], 2017, [灾害学, Journal of Catastrophology], V32, P90
   Easterling DR, 2000, B AM METEOROL SOC, V81, P417, DOI 10.1175/1520-0477(2000)081<0417:OVATIE>2.3.CO;2
   Faeid Mohd Zabid Mohd, 2020, International Journal of Information and Decision Sciences, V12, P136
   Garai J, 2022, CURR RES ENVIRON SUS, V4, DOI 10.1016/j.crsust.2022.100130
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   He YY, 2021, INT J CLIM CHANG STR, V13, P162, DOI 10.1108/IJCCSM-08-2020-0094
   Hendalianpour A, 2022, RESOUR POLICY, V78, DOI 10.1016/j.resourpol.2022.102822
   Hosseini SH, 2021, ENERGY, V222, DOI 10.1016/j.energy.2021.119878
   Kim AM, 2020, TRANSPORT RES A-POL, V134, P271, DOI 10.1016/j.tra.2020.02.013
   Ko H, 2018, PUBLIC HEALTH, V160, P52, DOI 10.1016/j.puhe.2018.03.033
   Leal W, 2022, INT J CLIM CHANG STR, V14, P212, DOI 10.1108/IJCCSM-08-2021-0088
   Leng GY, 2019, SCI TOTAL ENVIRON, V686, P819, DOI 10.1016/j.scitotenv.2019.06.026
   Li J., 2013, YUNNAN GEOGRAPHIC EN, V25, P77
   Liu B, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103912
   Liu ZL, 2021, INT J CLIM CHANG STR, V13, P375, DOI 10.1108/IJCCSM-10-2020-0108
   Meehl GA, 2000, B AM METEOROL SOC, V81, P413, DOI 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2
   Mladovsky P, 2008, WORLD DEV, V36, P590, DOI 10.1016/j.worlddev.2007.04.018
   Natarajan N, 2022, WORLD DEV, V155, DOI 10.1016/j.worlddev.2022.105898
   Numfor SA, 2022, J CLEAN PROD, V361, DOI 10.1016/j.jclepro.2022.132090
   O'Keeffe Jimmy, 2022, Sci Total Environ, V824, P153673, DOI 10.1016/j.scitotenv.2022.153673
   Ofoegbu C, 2021, INT J CLIM CHANG STR, V13, P19, DOI 10.1108/IJCCSM-04-2020-0030
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Bach MP, 2020, KYBERNETES, V49, P460, DOI 10.1108/K-04-2018-0210
   Peng YI, 2018, ARCH GERONTOL GERIAT, V75, P28, DOI 10.1016/j.archger.2017.11.002
   Qudrat-Ullah Hassan, 2018, International Journal of Energy Technology and Policy, V14, P250
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Shen QP, 2009, HABITAT INT, V33, P15, DOI 10.1016/j.habitatint.2008.02.004
   Tian Y, 2022, J CLEAN PROD, V356, DOI 10.1016/j.jclepro.2022.131777
   Wu MZ, 2022, INT J CLIM CHANG STR, V14, P20, DOI 10.1108/IJCCSM-03-2021-0031
   [姚愚 Yao Yu], 2018, [灾害学, Journal of Catastrophology], V33, P122
   Zhang HQ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912341
   Zhang LC, 2006, HEALTH POLICY, V76, P233, DOI 10.1016/j.healthpol.2005.06.001
   [朱娴韵 ZHU Xianyun], 2015, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V24, P476
NR 47
TC 2
Z9 2
U1 5
U2 27
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PD APR 19
PY 2023
VL 15
IS 3
BP 432
EP 455
DI 10.1108/IJCCSM-01-2023-0003
EA APR 2023
PG 24
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HF7V5
UT WOS:000962751800001
OA gold
DA 2025-01-10
ER

PT J
AU Heinemann, AB
   Costa-Neto, G
   Fritsche-Neto, R
   da Matta, DH
   Fernandes, IK
AF Heinemann, Alexandre Bryan
   Costa-Neto, Germano
   Fritsche-Neto, Roberto
   da Matta, David Henriques
   Fernandes, Igor Kuivjogi
TI Enviromic prediction is useful to define the limits of climate
   adaptation: A case study of common bean in Brazil
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Generalized; Additive Models (GAM); Environment; adaptation; Breeding;
   Climate; Phaseolus vulgaris L
ID MODELS; FUTURE; YIELD
AB Ongoing changes in the global environmental conditions foster plant breeding research to develop climate-smart cultivars as fast as possible. Data analytics are essential for achieving this goal, especially the so-called science of enviromics (large-scale environmental characterization of crop growing conditions) that could be used to pinpoint the relevant environment impacts driving the adaptation of a certain specie in a breeding framework. Here we quantified the effects of diverse climate factors on the current adaptation of elite common bean germplasm in Brazil. To capture the non-linearity of those impacts across a wide range of environments, we developed an "enviromic prediction" approach by combining Generalized Additive Models (GAM), environmental covariates (EC), and grain yield (GY) from 18 years of historical breeding trials. Then, we predicted the optimum limits for ECs at each production scenario (four regions, three seasons, and two grain types) and its respective predictions of GY adaptation. Our results indicate that the nonlinear influence of air temperature, solar radiation, and rainfall led to a huge interaction of the impacts among the development stages, seasons, and regions. This revealed that seasonality differently affected the vegetative and reproductive stages, which its impact drastically vary according to the region and season, which makes unfeasible the development of a breeding strategy for selecting for broad adaptation. Conversely, with our approach it was possible to pinpoint the effects of the region- or season-specific impacts, which helped identify the "climate limits" and critical development phases for each possible production scenario. This could allow breeders to design crop ideotypes while directing efforts to develop climate-smart varieties. Furthermore, enviromics prediction is a cost-effective way to use EC as a data analytics tool to support the visualization of regional breeding gaps for specific growing conditions.
C1 [Heinemann, Alexandre Bryan] Embrapa Arroz & Feijao, Rodovia GO-462 Km 12 Zona Rural, BR-75375000 Santo Antonio De Goias, Go, Brazil.
   [Costa-Neto, Germano] Cornell Univ, Inst Genom Div, Ithaca, NY USA.
   [Fritsche-Neto, Roberto] Univ Sao Paulo, ESALQ, Dept Genet, Ave P adua Dias,11 Agron, BR-13418260 Piracicaba, SP, Brazil.
   [Fritsche-Neto, Roberto] Int Rice Res Inst, Breeding Analyt & Data Management Unit, Pili Dr, Los Banos, Laguna, Philippines.
   [da Matta, David Henriques; Fernandes, Igor Kuivjogi] Fed Univ Goias UFG, Inst Math & Stat IME, S-N Inst Matemat & Estat Samambaia Goiania,Campus, BR-74001970 Esperanca, Go, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); EMBRAPA Arroz &
   Feijao; Cornell University; Universidade de Sao Paulo; CGIAR;
   International Rice Research Institute (IRRI)
RP Heinemann, AB (corresponding author), Embrapa Arroz & Feijao, Rodovia GO-462 Km 12 Zona Rural, BR-75375000 Santo Antonio De Goias, Go, Brazil.
EM alexandre.heinemann@embrapa.br; gmc222@cornell.edu;
   r.fritscheneto@irri.org; dhmatta@ufg.br; igorkuivjogi@hotmail.com
RI Matta, David/KVF-0633-2024; Fritsche-Neto, Roberto/B-2256-2013;
   Heinemann, Alexandre/ABH-4914-2020
OI Kuivjogi Fernandes, Igor/0000-0002-1634-9173; Matta,
   David/0000-0003-0199-2075
FU "Fundacao de Amparo a Pesquisa do Estado de Goias" (FAPEG), Brazil;
   PRONEM/FAPEG/CNPq; "Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico" (CNPq), Brazil [408025/2018-2-408025/2018-2]
FX AB Heinemann acknowledges support from "Fundacao de Amparo `a Pesquisa
   do Estado de Goias" (FAPEG), Brazil, PRONEM/FAPEG/CNPq and "Conselho
   Nacional de Desenvolvimento Cientifico e Tecnologico" (CNPq), Brazil,
   Edital Universal-408025/2018-2-408025/2018-2.
CR Al-Tawaha A. R. M., 2020, IOP Conference Series: Earth and Environmental Science, V492, DOI 10.1088/1755-1315/492/1/012085
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   Andrade M.J.B., 2015, FEIJAO DO PLANTIO CO, P67
   Annicchiarico P., 2002, Genotype x environment interactions: Challenges and opportunities for plant breeding and cultivar recommendations
   [Anonymous], 1990, Generalized additive models
   Arnold PA, 2019, NEW PHYTOL, V222, P1235, DOI 10.1111/nph.15656
   Beebe S, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P356
   Bhattacharya A, 2019, EFFECT OF HIGH TEMPERATURE ON CROP PRODUCTIVITY AND METABOLISM OF MACRO MOLECULES, P1, DOI 10.1016/B978-0-12-817562-0.00001-X
   Bustos-Korts D, 2022, THEOR APPL GENET, V135, P2059, DOI 10.1007/s00122-022-04098-9
   Romay MC, 2010, CROP SCI, V50, P51, DOI 10.2135/cropsci2008.12.0695
   Cooper M, 2016, CROP SCI, V56, P2141, DOI 10.2135/cropsci2015.08.0512
   Cooper M, 2014, CROP PASTURE SCI, V65, P311, DOI 10.1071/CP14007
   Costa-Neto G., 2021, G3-GENES GENOM GENET, V11, DOI DOI 10.1093/g3journal/jkab040
   Costa-Neto G, 2021, HEREDITY, V126, P92, DOI 10.1038/s41437-020-00353-1
   Costa-Neto GMF, 2020, EUPHYTICA, V216, DOI 10.1007/s10681-020-2573-4
   Crossa J, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.651480
   Silva Joel Cordeiro da, 2007, Cienc. Rural, V37, P643, DOI 10.1590/S0103-84782007000300007
   Teixeira Gisele Carneiro da Silva, 2017, Pesqui. Agropecu. Trop., V47, P118, DOI 10.1590/1983-40632016v4743193
   Denis J.B., 1980, Biometrie-Praximetrie, V20, P1
   EBERHART SA, 1966, CROP SCI, V6, P36, DOI 10.2135/cropsci1966.0011183X000600010011x
   FAOSTAT, 2020, FAO-News Article: Alarm over Desert Locusts Increases as New Generation of the Destructive Pests Starts Breeding in Horn of Africa
   FINLAY KW, 1963, AUST J AGR RES, V14, P742, DOI 10.1071/AR9630742
   Hastie T., 1986, Stat. Sci., V1, DOI [10.1214/ss/1177013604, DOI 10.1214/SS/1177013604, DOI 10.1214/SS/1177013609]
   Heinemann AB, 2016, AGR FOREST METEOROL, V225, P57, DOI 10.1016/j.agrformet.2016.05.010
   Heinemann AB, 2021, INT J CLIMATOL, V41, pE283, DOI 10.1002/joc.6684
   Heinemann AB, 2017, AGR FOREST METEOROL, V246, P64, DOI 10.1016/j.agrformet.2017.06.005
   IBGE, 2017, CENS AGR
   Jarquín D, 2014, THEOR APPL GENET, V127, P595, DOI 10.1007/s00122-013-2243-1
   Kaushal Neeru, 2016, Cogent Food & Agriculture, V2, DOI 10.1080/23311932.2015.1134380
   Li X., 2018, P NATL ACAD SCI, V11
   Messina CD, 2018, EUR J AGRON, V100, P151, DOI 10.1016/j.eja.2018.01.007
   Meuwissen THE, 2001, GENETICS, V157, P1819
   Monteverde E, 2019, G3-GENES GENOM GENET, V9, P1519, DOI 10.1534/g3.119.400064
   Morais OP Jr, 2018, CROP SCI, V58, P592, DOI 10.2135/cropsci2017.06.0366
   Mu Q, 2022, NEW PHYTOL, V233, P1768, DOI 10.1111/nph.17904
   Müller BSD, 2014, PLANT MOL BIOL REP, V32, P438, DOI 10.1007/s11105-013-0651-7
   NELDER JA, 1972, J R STAT SOC SER A-G, V135, P370, DOI 10.2307/2344614
   Paula Junior T.J., 2008, INFORMACOES TECNICAS
   Pereira HS, 2017, SEMIN-CIENC AGRAR, V38, P1241, DOI 10.5433/1679-0359.2017v38n3p1241
   Porker K, 2020, FIELD CROP RES, V246, DOI 10.1016/j.fcr.2019.107697
   Portes TA, 1996, CULTURA FEIJOEIRO CO, P101
   Prasad PVV, 2017, FIELD CROP RES, V200, P114, DOI 10.1016/j.fcr.2016.09.024
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rao I.M., 2001, Handbook of plant and crop physiology, P583
   Resende RT, 2021, THEOR APPL GENET, V134, P95, DOI 10.1007/s00122-020-03684-z
   Reuniao da Comissao Tecnica Norte/Nordeste Brasileira de Feijao, 2013, INF TECN CULT FEIJ C
   Rocha Richardson Sales, 2020, Australian Journal of Crop Science, V14, P263, DOI 10.21475/ajcs.20.14.02.p2121
   Sathe S.K., 2016, Reference Module in Food Science, DOI [10.1016/B978-0-08-100596-5.00033-0, DOI 10.1016/B978-0-08-100596-5.00033-0]
   SHELFORD V. E., 1931, ECOLOGY, V12, P455, DOI 10.2307/1928991
   Silva J.F, 2019, GLOBAL AGR INFORM NE
   Sita K, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01658
   Soltani A, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5669-2
   Souza T.L.P.O., 2020, ANN REP BEAN IMPROV, V63, P13
   Sparks A., 2018, OPEN SOURCE SOFTW, V3, P1035, DOI [10.21105/joss.01035, DOI 10.21105/JOSS.01035]
   Vargas M, 1999, CROP SCI, V39, P955, DOI 10.2135/cropsci1999.0011183X003900040002x
   Wendland A., 2018, Manual de identificacao das principais doencas do feijoeiro-comum, P49
   WOOD JT, 1976, HEREDITY, V37, P1, DOI 10.1038/hdy.1976.61
   Wood S.N., 2006, GEN ADDITIVE MODELS
   Xu YB, 2016, THEOR APPL GENET, V129, P653, DOI 10.1007/s00122-016-2691-5
   Zuur Alain F., 2009, P1
NR 60
TC 17
Z9 17
U1 0
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-4290
EI 1872-6852
J9 FIELD CROP RES
JI Field Crop. Res.
PD OCT 1
PY 2022
VL 286
AR 108628
DI 10.1016/j.fcr.2022.108628
EA JUL 2022
PG 19
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 6B8IZ
UT WOS:000881571800001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Feng, HH
   Xiong, J
   Ye, SC
   Zou, B
   Wang, W
AF Feng, Huihui
   Xiong, Jian
   Ye, Shuchao
   Zou, Bin
   Wang, Wei
TI Vegetation change enhanced the positive global surface radiation budget
SO ADVANCES IN SPACE RESEARCH
LA English
DT Article
DE Radiation budget; Vegetation change; Climate change; Satellite; Globe
ID LAND-USE; SOLAR-RADIATION; IMPACT; EMISSIVITY; SHORTWAVE; COVER; WORLD;
   AEROSOLS; FUTURE; CERES
AB Surface radiation budget was an important variable for global climate and eco-environment change. Vegetation exerted significant influences on the budget by altering the surface thermal properties and land-atmospheric interactions, while the sign and magnitude remained unclear. With the aid of satellite observations, this study estimated the vegetation influences through a semi-physical approach. Methodologically, a physical model of the total surface radiation budget (R-net) was firstly built. Then, the empirical regressions between vegetation with radiation albedo and thermal emissivity were adopted. Finally, the vegetation influences were estimated by measuring the response of budgets (R-snet, R-lnet and subsequently R-net) to vegetation perturbance. Our results demonstrated that the global R-net presented a positive budget (73.20 W/m(2)) over the past two decades (2001-2020), which was dominated by the positive R-snet (135.52 W/m(2)). In contrast, the R-lnet showed a negative value (-60.92 W/m(2)), which helped to mitigate the warming trend. Vegetation tended to enhance the positive surface radiation budgets. Overall, the vegetation influences on R-snet, R-lnet and R-net were 56.20 W/m(2), -6.65 W/m(2), and 50.29 W/m(2), accounting for 41.47 %, 10.92 % and 68.70 % of the total budgets. Temporally, the vegetation influences showed increasing trends of 0.019 W/m(2)/yr (R-snet), 0.007 W/m(2)/yr (R-lnet) and 0.031 W/m(2)/yr (R-net). Physically, temporal variations of the vegetation influences were strongly affected by the interactions of atmospheric factors, particularly of the cloud, aerosol, and greenhouse gases (GHGs). Results of this study help to capture characteristics of surface radiation budgets and corresponding mechanism, which could support the climatic adaption and eco-environment management. (C) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.
C1 [Feng, Huihui; Xiong, Jian; Zou, Bin; Wang, Wei] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
   [Feng, Huihui; Zou, Bin; Wang, Wei] Chinese Minist Educ, Key Lab Metallogen Predict Nonferrous Met & Geol, Changsha 410083, Peoples R China.
   [Ye, Shuchao] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
C3 Central South University; Hong Kong Polytechnic University
RP Wang, W (corresponding author), Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
EM wangweicn@csu.edu.cn
RI Feng, Huihui/V-1807-2019
FU National Natural Science Foundation of China [42071378]; Nature Science
   Foundation of Hunan Province [2020JJ3045]
FX This work was supported in part by the National Natural Science
   Foundation of China [Grant No. 42071378] and the Nature Science
   Foundation of Hunan Province [No. 2020JJ3045].
CR [Anonymous], 2011, INTRO REMOTE SENSING, DOI DOI 10.1080/10106048709354126
   [Anonymous], 2018, SUMM POL IPCC SPEC R
   Arneth A, 2015, NATURE, V524, P44, DOI 10.1038/524044a
   Bathurst JC, 2011, J HYDROL, V400, P281, DOI 10.1016/j.jhydrol.2010.11.044
   Betts RA, 2001, ATMOS SCI LETT, V2, P39, DOI 10.1006/asle.2001.0023
   Bisht G, 2011, IEEE T GEOSCI REMOTE, V49, P2448, DOI 10.1109/TGRS.2010.2096227
   Blok D, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/035502
   Bonan GB, 2018, SCIENCE, V359, P533, DOI 10.1126/science.aam8328
   Brown PT, 2017, NATURE, V552, P45, DOI 10.1038/nature24672
   Calanca P, 2007, GLOBAL PLANET CHANGE, V57, P151, DOI 10.1016/j.gloplacha.2006.11.001
   CERES, 2017, CERES SYN1DEG ED4A D
   CERES, 2021, CERES EBAF ED41 DATA
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Dickinson R.E., 1984, Climate Processes and Climate Sensitivity, Geophysical Monograph Series, V29, P180
   Ding Y, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.825732
   Djoumna G, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD034119
   Ellison D, 2017, GLOBAL ENVIRON CHANG, V43, P51, DOI 10.1016/j.gloenvcha.2017.01.002
   Erb KH, 2018, NATURE, V553, P73, DOI 10.1038/nature25138
   Feng HH, 2020, GLOBAL PLANET CHANGE, V192, DOI 10.1016/j.gloplacha.2020.103225
   Feng HH, 2020, INT J REMOTE SENS, V41, P5443, DOI 10.1080/01431161.2020.1731934
   Feng HH, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111299
   Feng HH, 2019, SCI TOTAL ENVIRON, V658, P385, DOI 10.1016/j.scitotenv.2018.12.210
   Feng HH, 2014, ADV SPACE RES, V53, P463, DOI 10.1016/j.asr.2013.11.028
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Huang L, 2012, ECOL ENG, V44, P53, DOI 10.1016/j.ecoleng.2012.03.007
   Jia AL, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8020090
   Jung M, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2010JG001566
   Kato S, 2013, J CLIMATE, V26, P2719, DOI 10.1175/JCLI-D-12-00436.1
   Kleidon A, 2000, CLIMATIC CHANGE, V44, P471, DOI 10.1023/A:1005559518889
   KNIPLING E B, 1970, Remote Sensing of Environment, V1, P155
   Kruk NS, 2010, THEOR APPL CLIMATOL, V99, P115, DOI 10.1007/s00704-009-0128-7
   Lawrence D, 2015, NAT CLIM CHANGE, V5, P27, DOI [10.1038/NCLIMATE2430, 10.1038/nclimate2430]
   Lee S, 2017, GEOPHYS RES LETT, V44, P10654, DOI 10.1002/2017GL075375
   Li QP, 2018, J GEOPHYS RES-ATMOS, V123, P124, DOI 10.1002/2017JD027010
   Lin MY, 2020, NAT CLIM CHANGE, V10, P444, DOI 10.1038/s41558-020-0743-y
   Liu XP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13462-1
   Loeb NG, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093047
   Ma ZS, 2018, J ADV MODEL EARTH SY, V10, P652, DOI 10.1002/2017MS001234
   Matus AV, 2017, J GEOPHYS RES-ATMOS, V122, P2559, DOI 10.1002/2016JD025951
   Matzinger N, 2003, Q J ROY METEOR SOC, V129, P877, DOI 10.1256/qj.02.44
   Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017
   Mitchard ETA, 2018, NATURE, V559, P527, DOI 10.1038/s41586-018-0300-2
   MONTEITH JL, 1972, J APPL ECOL, V9, P747, DOI 10.2307/2401901
   Otkin JA, 2016, AGR FOREST METEOROL, V218, P230, DOI 10.1016/j.agrformet.2015.12.065
   Pan X, 2015, REMOTE SENS-BASEL, V7, P4899, DOI 10.3390/rs70404899
   Pinker RT, 2005, SCIENCE, V308, P850, DOI 10.1126/science.1103159
   Qiu YJ, 2013, ATMOS OCEAN SCI LETT, V6, P39, DOI 10.1080/16742834.2013.11447049
   Rahman A., 2017, AGR FOOD SECURITY, DOI DOI 10.1186/S40066-017-0089-5
   Rahmstorf S, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6825
   RAMANATHAN V, 1986, J GEOPHYS RES-ATMOS, V91, P8649, DOI 10.1029/JD091iD08p08649
   Randerson JT, 2006, SCIENCE, V314, P1130, DOI 10.1126/science.1132075
   Reydon BP, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2019.104313
   Ruckstuhl C, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034228
   Ryu Y, 2019, REMOTE SENS ENVIRON, V223, P95, DOI 10.1016/j.rse.2019.01.016
   Schwarz M, 2020, NAT GEOSCI, V13, P110, DOI 10.1038/s41561-019-0528-y
   Scott CE, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02412-4
   Shen MG, 2015, P NATL ACAD SCI USA, V112, P9299, DOI 10.1073/pnas.1504418112
   Shrivastava M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08909-4
   Solano R., 2010, MODIS Vegetation Index User's Guide (MOD13 Series) Version 2.00, P1
   Storelvmo T, 2016, NAT GEOSCI, V9, P286, DOI 10.1038/NGEO2670
   Tubiello FN, 2015, GLOBAL CHANGE BIOL, V21, P2655, DOI 10.1111/gcb.12865
   Valor E, 1996, REMOTE SENS ENVIRON, V57, P167, DOI 10.1016/0034-4257(96)00039-9
   VANDEGRIEND AA, 1993, INT J REMOTE SENS, V14, P1119, DOI 10.1080/01431169308904400
   West TAP, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.105072
   Wielicki B.A., 1996, CLOUDS EARTHS RADIAN
   Xiao JF, 2005, REMOTE SENS ENVIRON, V98, P237, DOI 10.1016/j.rse.2005.07.011
   Xie SP, 2016, NAT GEOSCI, V9, P29, DOI [10.1038/NGEO2581, 10.1038/ngeo2581]
   Xing Y, 2019, ATMOS ENVIRON, V201, P73, DOI 10.1016/j.atmosenv.2018.12.027
   Yang J, 2013, NAT CLIM CHANGE, V3, P875, DOI [10.1038/nclimate1908, 10.1038/NCLIMATE1908]
   Yang X, 2016, J GEOPHYS RES-ATMOS, V121, P6459, DOI 10.1002/2016JD024938
   Ye SC, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13081447
   Yoon JH, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9657
   Zhang XT, 2015, REMOTE SENS ENVIRON, V165, P186, DOI 10.1016/j.rse.2015.05.015
   Zhou W, 2019, IEEE J-STARS, V12, P450, DOI 10.1109/JSTARS.2018.2878229
   Zhu ZC, 2016, NAT CLIM CHANGE, V6, P791, DOI [10.1038/NCLIMATE3004, 10.1038/nclimate3004]
NR 75
TC 3
Z9 3
U1 4
U2 29
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0273-1177
EI 1879-1948
J9 ADV SPACE RES
JI Adv. Space Res.
PD JUL 15
PY 2022
VL 70
IS 2
BP 324
EP 335
DI 10.1016/j.asr.2022.04.038
EA JUN 2022
PG 12
WC Engineering, Aerospace; Astronomy & Astrophysics; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
GA 3I9AK
UT WOS:000832999700006
DA 2025-01-10
ER

PT J
AU Bratu, A
   Card, KG
   Closson, K
   Aran, N
   Marshall, C
   Clayton, S
   Gislason, MK
   Samji, H
   Martin, G
   Lem, M
   Logie, CH
   Takaro, TK
   Hogg, RS
AF Bratu, Andreea
   Card, Kiffer G.
   Closson, Kalysha
   Aran, Niloufar
   Marshall, Carly
   Clayton, Susan
   Gislason, Maya K.
   Samji, Hasina
   Martin, Gina
   Lem, Melissa
   Logie, Carmen H.
   Takaro, Tim K.
   Hogg, Robert S.
TI The 2021 Western North American heat dome increased climate change
   anxiety among British Columbians: Results from a natural experiment
SO JOURNAL OF CLIMATE CHANGE AND HEALTH
LA English
DT Article
DE Climate change; Anxiety; Mental health; Extreme heat; Environmental
   health; Climate adaptation
ID MENTAL-HEALTH; MORTALITY; IMPACT
AB Introduction: Extreme weather events caused by climate change pose a risk to mental health. Illustrating this reality, this study estimates the impact of the 2021 Western North American heat dome (June 25th, 2021 - July 1st, 2021) on climate change anxiety among British Columbians. Methods: We conducted an online survey of British Columbians, aged >= 16. Participants were recruited using paid advertisements on social media. Data were collected pre- and post- heat dome between May 12th, 2021 - June 21st, 2021 (n = 439), and July 15th, 2021 - July 18th, 2021 (n = 420), respectively. A multivariable inverse Gaussian regression model tested differences in Climate Change Anxiety Scale (CCAS) scores pre- and post- heat dome. Potential confounders measured included age, gender, ethnicity, education, income, and political orientation. CCAS reliability was assessed using Cronbach's alpha. Results: Most participants indicated that they were much (40.1%) or somewhat (18.4%) more worried about climate change due to the heat dome. Mean CCAS scores increased from 1.66 (standard deviation [SD]= 0.80) to 1.87 (SD = 0.87) pre- and post- heat dome, respectively. In multivariable modeling, this effect was significant after controlling for potential confounders (Estimate = 0.057, standard error = 0.148, p < 0.001). The CCAS reliability was high (Cronbach's alpha = 0.94). Discussion: Our results found that British Columbians had significantly higher climate change anxiety following the 2021 Western North American heat dome. Ongoing monitoring of climate change anxiety is needed to understand the impact of individual and compounding climate change-related weather events over time. (c) 2022 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
C1 [Bratu, Andreea; Closson, Kalysha] Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada.
   [Bratu, Andreea; Closson, Kalysha; Aran, Niloufar; Marshall, Carly; Hogg, Robert S.] British Columbia Ctr Excellence HIV AIDS, Vancouver, BC, Canada.
   [Card, Kiffer G.; Aran, Niloufar; Gislason, Maya K.; Samji, Hasina; Takaro, Tim K.; Hogg, Robert S.] Simon Fraser Univ, Fac Hlth Sci, Burnaby, BC, Canada.
   [Clayton, Susan] Coll Wooster, Psychol Dept, Wooster, OH USA.
   [Martin, Gina] Athabasca Univ, Fac Hlth Disciplines, Athabasca, AB, Canada.
   [Lem, Melissa] Canadian Assoc Phys Environm, Toronto, ON, Canada.
   [Logie, Carmen H.] Univ Toronto, Factor Inwentash Fac Social Work, Toronto, ON, Canada.
   [Gislason, Maya K.; Takaro, Tim K.; Hogg, Robert S.] Simon Fraser Univ, Fac Hlth Sci, Planetary Hlth Res Grp, Burnaby, BC, Canada.
   [Logie, Carmen H.] United Nations Univ, Inst Water Environm & Hlth, Hamilton, ON, Canada.
C3 University of British Columbia; B.C. Centre for Excellence in HIV/AIDS;
   Simon Fraser University; University System of Ohio; College of Wooster;
   Athabasca University; University of Toronto; Simon Fraser University
RP Bratu, A (corresponding author), Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada.; Bratu, A (corresponding author), British Columbia Ctr Excellence HIV AIDS, Vancouver, BC, Canada.
EM abratu01@mail.ubc.ca
RI Gislason, Maya/AAL-5303-2020
OI Samji, Hasina/0000-0002-4555-7609
FU Canadian Institutes of Health Research (CIHR) [143342]
FX This study was supported by the Canadian Institutes of Health Research
   (CIHR) through PI Dr. Robert Hogg's CIHR Foundation Grant (#143342).
CR Benmarhnia T, 2016, ENVIRON HEALTH PERSP, V124, P1694, DOI 10.1289/EHP203
   Berry HL, 2010, INT J PUBLIC HEALTH, V55, P123, DOI 10.1007/s00038-009-0112-0
   Cheng J, 2019, ENVIRON RES, V177, DOI 10.1016/j.envres.2019.108610
   Clayton S., 2017, MENTAL HLTH OUR CHAN
   Clayton S, 2020, J ANXIETY DISORD, V74, DOI 10.1016/j.janxdis.2020.102263
   Clayton S, 2020, J ENVIRON PSYCHOL, V69, DOI 10.1016/j.jenvp.2020.101434
   Cunsolo A, 2018, NAT CLIM CHANGE, V8, P275, DOI 10.1038/s41558-018-0092-2
   Diener E, 2000, AM PSYCHOL, V55, P34, DOI 10.1037/0003-066X.55.1.34
   Fergusson DM, 2014, JAMA PSYCHIAT, V71, P1025, DOI 10.1001/jamapsychiatry.2014.652
   Fuentes L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17020637
   Henderson SB, 2021, B C MED J, V63, P366
   Humans Rights Watch, 2021, Canada: Disastrous impact of extreme heat: failure to protect older people, People with Disabilities in British Columbia
   Kosatsky T, 2012, AM J PUBLIC HEALTH, V102, P2367, DOI 10.2105/AJPH.2012.300670
   Liss A, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7412-5
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Martin-Latry K, 2007, EUR PSYCHIAT, V22, P335, DOI 10.1016/j.eurpsy.2007.03.007
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   National Ocean Service, 2022, What is a Heat Dome?
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Padhy Susanta Kumar, 2015, Indian J Occup Environ Med, V19, P3, DOI 10.4103/0019-5278.156997
   Stanley R, 2002, STRESS HEALTH, V18, P193, DOI 10.1002/smi.941
   Strihou J.V., 2001, Overview of impacts, adaptation, and vulnerability to climate change
   Team RC, 2021, R LANGUAGE ENV STAT
   Thompson R, 2018, PUBLIC HEALTH, V161, P171, DOI 10.1016/j.puhe.2018.06.008
   Topolovec-Vranic J, 2016, J MED INTERNET RES, V18, DOI 10.2196/jmir.5698
   Vesely S, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.01395
   Vos T, 2020, LANCET, V396, P1562
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Xu ZW, 2016, ENVIRON INT, V89-90, P193, DOI 10.1016/j.envint.2016.02.007
NR 29
TC 26
Z9 27
U1 2
U2 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2667-2782
J9 J CLIM CHANGE HEALTH
JI J. Clim. Chang. Health
PD MAY
PY 2022
VL 6
AR 100116
DI 10.1016/j.joclim.2022.100116
PG 6
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA YE8M3
UT WOS:001266900400021
OA gold
DA 2025-01-10
ER

PT J
AU Sonstebo, JH
   Trucchi, E
   Nordén, J
   Skrede, I
   Miettinen, O
   Haridas, S
   Pangilinan, J
   Grigoriev, I
   Martin, F
   Kauserud, H
   Maurice, S
AF Sonstebo, Jorn Henrik
   Trucchi, Emiliano
   Norden, Jenni
   Skrede, Inger
   Miettinen, Otto
   Haridas, Sajeet
   Pangilinan, Jasmyn
   Grigoriev, Igor, V
   Martin, Francis
   Kauserud, Havard
   Maurice, Sundy
TI Population genomics of a forest fungus reveals high gene flow and
   climate adaptation signatures
SO MOLECULAR ECOLOGY
LA English
DT Article
DE demography; forest fragmentation; genotype-environment associations;
   local adaptation; Picea abies; post-glacial colonization; wood decay
   fungi
ID WOOD-DECAY FUNGUS; HUMAN IMPACT GRADIENT; PHELLINUS-NIGROLIMITATUS;
   LOCAL ADAPTATION; MARKERS PROVIDE; NORWAY SPRUCE; CONSEQUENCES; DNA;
   DIFFERENTIATION; FRAGMENTATION
AB Genome sequencing of spatially distributed individuals sheds light on how evolution structures genetic variation. Populations of Phellopilus nigrolimitatus, a red-listed wood-inhabiting fungus associated with old-growth coniferous forests, have decreased in size over the last century due to a loss of suitable habitats. We assessed the population genetic structure and investigated local adaptation in P. nigrolimitatus, by establishing a reference genome and genotyping 327 individuals sampled from 24 locations in Northern Europe by RAD sequencing. We revealed a shallow population genetic structure, indicating large historical population sizes and high levels of gene flow. Despite this weak substructuring, two genetic groups were recognized; a western group distributed mostly in Norway and an eastern group covering most of Finland, Poland and Russia. This substructuring may reflect coimmigration with the main host, Norway spruce (Picea abies), into Northern Europe after the last ice age. We found evidence of low levels of genetic diversity in southwestern Finland, which has a long history of intensive forestry and urbanization. Numerous loci were significantly associated with one or more environmental factors, indicating adaptation to specific environments. These loci clustered into two groups with different associations with temperature and precipitation. Overall, our findings indicate that the current population genetic structure of P. nigrolimitatus results from a combination of gene flow, genetic drift and selection. The acquisition of similar knowledge especially over broad geographic scales, linking signatures of adaptive genetic variation to evolutionary processes and environmental variation, for other fungal species will undoubtedly be useful for assessment of the combined effects of habitat fragmentation and climate change on fungi strongly bound to old-growth forests.
C1 [Sonstebo, Jorn Henrik; Skrede, Inger; Kauserud, Havard; Maurice, Sundy] Univ Oslo, Sect Genet & Evolutionary Biol EVOGENE, Dept Biosci, Oslo, Norway.
   [Trucchi, Emiliano] Marche Polytech Univ, Dept Life & Environm Sci, Ancona, Italy.
   [Norden, Jenni] Norwegian Inst Nat Res, Oslo, Norway.
   [Miettinen, Otto] Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland.
   [Haridas, Sajeet; Pangilinan, Jasmyn; Grigoriev, Igor, V] US Dept Energy Joint Genome Inst, Lawrence Berkeley Natl Lab, Berkeley, CA USA.
   [Grigoriev, Igor, V] Univ Calif Berkeley, Dept Plant & Microbial Biol, Berkeley, CA 94720 USA.
   [Martin, Francis] Univ Lorraine, INRAE, UMR Interact Arbres Microorganismes, INRAE GrandEst Nancy, Champenoux, France.
C3 University of Oslo; Marche Polytechnic University; Norwegian Institute
   Nature Research; University of Helsinki; United States Department of
   Energy (DOE); Lawrence Berkeley National Laboratory; University of
   California System; University of California Berkeley; INRAE; Universite
   de Lorraine
RP Sonstebo, JH; Maurice, S (corresponding author), Univ Oslo, Sect Genet & Evolutionary Biol EVOGENE, Dept Biosci, Oslo, Norway.
EM Jorn.H.Sonstebo@usn.no; sundymaurice@gmail.com
RI Martin, Francis/G-2822-2013; Nordén, Jenni/F-3835-2019; Sønstebø,
   Jørn/Q-1144-2019; Haridas, Sajeet/H-4018-2019
OI Norden, Jenni/0000-0001-8894-5815; Haridas, Sajeet/0000-0002-0229-0975;
   Skrede, Inger/0000-0002-1113-7403; Sonstebo, Jorn
   Henrik/0000-0002-3204-1283; Grigoriev, Igor/0000-0002-3136-8903
FU Norges Forskningsrad [254746]
FX Norges Forskningsrad, Grant/Award Number: 254746
CR Abrego N, 2017, FUNGAL ECOL, V27, P168, DOI 10.1016/j.funeco.2016.07.006
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Andrew C, 2018, J BIOGEOGR, V45, P1942, DOI 10.1111/jbi.13374
   [Anonymous], 2018, Open Source Geospatial Foundation Project
   Balasundaram SV, 2018, ISME J, V12, P791, DOI 10.1038/s41396-017-0006-8
   Bartoli C, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00763
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Boddy Lynne, 2016, P99, DOI 10.1016/B978-0-12-382034-1.00004-9
   Branco S, 2017, MOL ECOL, V26, P2063, DOI 10.1111/mec.13892
   Branco S, 2015, MOL ECOL, V24, P2747, DOI 10.1111/mec.13132
   Broad Institute, 2015, PIC TOOLS BROAD I
   Chen J, 2019, EVOL APPL, V12, P1539, DOI 10.1111/eva.12801
   Dabney A., 2019, QVALUE Q VALUE ESTIM
   Dal Grande F, 2017, BMC EVOL BIOL, V17, DOI 10.1186/s12862-017-0929-8
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Dray S, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i04
   Eckert AJ, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0863-0
   Ellison CE, 2011, P NATL ACAD SCI USA, V108, P2831, DOI 10.1073/pnas.1014971108
   Excoffier L, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003905
   Excoffier L, 2011, BIOINFORMATICS, V27, P1332, DOI 10.1093/bioinformatics/btr124
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Franzen I, 2007, MOL ECOL, V16, P3326, DOI 10.1111/j.1365-294X.2007.03394.x
   Galili Tal, 2024, CRAN
   GARDES M, 1993, MOL ECOL, V2, P113, DOI 10.1111/j.1365-294X.1993.tb00005.x
   Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
   Grigoriev IV, 2014, NUCLEIC ACIDS RES, V42, pD699, DOI 10.1093/nar/gkt1183
   Grummer JA, 2019, TRENDS ECOL EVOL, V34, P641, DOI 10.1016/j.tree.2019.02.013
   Harrell Frank E Jr, 2024, CRAN
   Henriksen S., 2015, NORWEGIAN RED LIST S
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Högberg N, 1999, MOL ECOL, V8, P703, DOI 10.1046/j.1365-294X.1999.00561.x
   Högberg N, 1999, HEREDITY, V83, P354, DOI 10.1038/sj.hdy.6885970
   Hohenlohe PA, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000862
   HUDSON RR, 1992, GENETICS, V132, P583
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Jombart T, 2010, BMC GENET, V11, DOI 10.1186/1471-2156-11-94
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Kalliola R, 1966, REDUCTION AREA FORES
   Kauserud H, 2002, CAN J BOT, V80, P597, DOI 10.1139/b02-040
   Kauserud H, 2001, MYCOL RES, V105, P676, DOI 10.1017/S0953756201004191
   Kopelman NM, 2015, MOL ECOL RESOUR, V15, P1179, DOI 10.1111/1755-0998.12387
   Korneliussen TS, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0356-4
   Koskinen MT, 2002, NATURE, V419, P826, DOI 10.1038/nature01029
   Koskinen S., 2007, SUOMEN VAESTO POPULA
   Kuo A, 2014, ADV BOT RES, V70, P1, DOI 10.1016/B978-0-12-397940-7.00001-X
   Lanes ÉC, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00532
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Lilja S, 2005, SILVA FENN, V39, P407, DOI 10.14214/sf.377
   Mäkinen H, 2006, ECOL APPL, V16, P1865, DOI 10.1890/1051-0761(2006)016[1865:PTDOSP]2.0.CO;2
   MANTEL N, 1967, CANCER RES, V27, P209
   Maurice S, 2019, MOL PLANT PATHOL, V20, P1134, DOI 10.1111/mpp.12819
   Medley KA, 2019, J APPL ECOL, V56, P2518, DOI 10.1111/1365-2664.13480
   Meirmans PG, 2004, MOL ECOL NOTES, V4, P792, DOI 10.1111/j.1471-8286.2004.00770.x
   Mela F, 2011, ISME J, V5, P1494, DOI 10.1038/ismej.2011.29
   Miller JM, 2020, HEREDITY, V125, P269, DOI 10.1038/s41437-020-0348-2
   MURRAY MG, 1980, NUCLEIC ACIDS RES, V8, P4321, DOI 10.1093/nar/8.19.4321
   Nordén J, 2018, ECOL INDIC, V91, P138, DOI 10.1016/j.ecolind.2018.03.062
   Nordén J, 2013, J ECOL, V101, P701, DOI 10.1111/1365-2745.12085
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Ovaskainen O, 2013, ISME J, V7, P1696, DOI 10.1038/ismej.2013.61
   Penttilä R, 2006, OIKOS, V114, P225, DOI 10.1111/j.2006.0030-1299.14349.x
   Peter J, 2018, NATURE, V556, P339, DOI 10.1038/s41586-018-0030-5
   Poplin R., 2018, bioRxiv, DOI 10.1101/201178
   Punttila P., 2006, METSON JALJILLA ETEL, P19
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Rochat E, 2021, DIVERS DISTRIB, V27, P1076, DOI 10.1111/ddi.13256
   Rochette NC, 2019, MOL ECOL, V28, P4737, DOI 10.1111/mec.15253
   Rosenberg NA, 2004, MOL ECOL NOTES, V4, P137, DOI 10.1046/j.1471-8286.2003.00566.x
   Rousset F, 1997, GENETICS, V145, P1219
   Rouvinen S, 2002, CAN J FOREST RES, V32, P2184, DOI [10.1139/x02-144, 10.1139/X02-144]
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schlaepfer DR, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2488
   Smith CC, 2019, MOL ECOL, V28, P2831, DOI 10.1111/mec.15111
   Sork VL, 2016, AM J BOT, V103, P33, DOI 10.3732/ajb.1500162
   Stokland J, 2004, FOREST ECOL MANAG, V187, P333, DOI 10.1016/j.foreco.2003.07.004
   Stucki S, 2017, MOL ECOL RESOUR, V17, P1072, DOI 10.1111/1755-0998.12629
   Tigano A, 2016, MOL ECOL, V25, P2144, DOI 10.1111/mec.13606
   Tollefsrud MM, 2009, HEREDITY, V102, P549, DOI 10.1038/hdy.2009.16
   Tollefsrud MM, 2008, MOL ECOL, V17, P4134, DOI 10.1111/j.1365-294X.2008.03893.x
   van Boheemen LA, 2019, NEW PHYTOL, V222, P614, DOI 10.1111/nph.15564
   Young A, 1996, TRENDS ECOL EVOL, V11, P413, DOI 10.1016/0169-5347(96)10045-8
   Young AG, 2000, CONSERV BIOL SER, V4, P335
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
NR 85
TC 4
Z9 4
U1 3
U2 38
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD APR
PY 2022
VL 31
IS 7
BP 1963
EP 1979
DI 10.1111/mec.16369
EA FEB 2022
PG 17
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA ZZ8MC
UT WOS:000753465100001
PM 35076968
OA Green Published
DA 2025-01-10
ER

PT J
AU Van Kirk, RW
   Contor, BA
   Morrisett, CN
   Null, SE
   Loibman, AS
AF Van Kirk, Robert W.
   Contor, Bryce A.
   Morrisett, Christina N.
   Null, Sarah E.
   Loibman, Ashly S.
TI Potential for Managed Aquifer Recharge to Enhance Fish Habitat in a
   Regulated River
SO WATER
LA English
DT Article
DE climate adaptation; stream temperature; streamflow; Henry's Fork;
   fisheries; Snake River; Idaho; water rights
ID CLIMATE-CHANGE; SURFACE-WATER; GROUNDWATER; TEMPERATURE; IRRIGATION;
   STREAMFLOW; SHALLOW; FLOWS; RESILIENCE; OPERATIONS
AB Managed aquifer recharge (MAR) is typically used to enhance the agricultural water supply but may also be promising to maintain summer streamflows and temperatures for cold-water fish. An existing aquifer model, water temperature data, and analysis of water administration were used to assess potential benefits of MAR to cold-water fisheries in Idaho's Snake River. This highly-regulated river supports irrigated agriculture worth US $10 billion and recreational trout fisheries worth $100 million. The assessment focused on the Henry's Fork Snake River, which receives groundwater from recharge incidental to irrigation and from MAR operations 8 km from the river, addressing (1) the quantity and timing of MAR-produced streamflow response, (2) the mechanism through which MAR increases streamflow, (3) whether groundwater inputs decrease the local stream temperature, and (4) the legal and administrative hurdles to using MAR for cold-water fisheries conservation in Idaho. The model estimated a long-term 4%-7% increase in summertime streamflow from annual MAR similar to that conducted in 2019. Water temperature observations confirmed that recharge increased streamflow via aquifer discharge rather than reduction in river losses to the aquifer. In addition, groundwater seeps created summer thermal refugia. Measured summer stream temperature at seeps was within the optimal temperature range for brown trout, averaging 14.4 degrees C, whereas ambient stream temperature exceeded 19 degrees C, the stress threshold for brown trout. Implementing MAR for fisheries conservation is challenged by administrative water rules and regulations. Well-developed and trusted water rights and water-transaction systems in Idaho and other western states enable MAR. However, in Idaho, conservation groups are unable to engage directly in water transactions, hampering MAR for fisheries protection.
C1 [Van Kirk, Robert W.; Contor, Bryce A.] Henrys Fork Fdn, POB 550, Ashton, ID 83420 USA.
   [Morrisett, Christina N.; Null, Sarah E.] Utah State Univ, Dept Watershed Sci, 5210 Old Main Hill,NR 210, Logan, UT 84322 USA.
   [Loibman, Ashly S.] Colgate Univ, Environm Studies, 13 Oak Dr, Hamilton, NY 13346 USA.
C3 Utah System of Higher Education; Utah State University; Colgate
   University
RP Van Kirk, RW (corresponding author), Henrys Fork Fdn, POB 550, Ashton, ID 83420 USA.
EM rob@henrysfork.org; brycec@henrysfork.org;
   christina.morrisett@aggiemail.usu.edu; sarah.null@usu.edu;
   aloibman@colgate.edu
RI Van Kirk, Robert/JWA-6569-2024; Null, Sarah/E-4422-2011
OI Morrisett, Christina/0000-0002-0110-2100; Null,
   Sarah/0000-0001-7451-7908
FU U.S. Department of Agriculture [2008-51130-19555]; National Science
   Foundation [1633756]; Colgate University; Federal Highway
   Administration; Fremont County Idaho; NIFA [582665, 2008-51130-19555]
   Funding Source: Federal RePORTER
FX Collection of the 2010 water temperature data was funded by U.S.
   Department of Agriculture grant 2008-51130-19555 to R.V.K. C.N.M.
   received support from National Science Foundation grant no. 1633756.
   A.S.L. was supported during summer 2019 by an internship from Colgate
   University. Additional funding was provided by the Federal Highway
   Administration and Fremont County Idaho.
CR Al-Chokhachy R, 2017, REV FISH BIOL FISHER, V27, P425, DOI 10.1007/s11160-017-9472-3
   [Anonymous], 2004, USER MANUAL
   [Anonymous], ENH SNAK PLAIN AQ MO
   Apple B.D., 2013, THESIS
   Barber ME, 2009, HYDROGEOL J, V17, P1459, DOI 10.1007/s10040-009-0467-6
   Beach T., 2016, J UNDERGRAD RES, V7, P26
   Benjamin L, 1999, J AM WATER RESOUR AS, V35, P899, DOI 10.1111/j.1752-1688.1999.tb04183.x
   Boggs KG, 2010, J AM WATER RESOUR AS, V46, P1116, DOI 10.1111/j.1752-1688.2010.00479.x
   Brunke M, 1997, FRESHWATER BIOL, V37, P1, DOI 10.1046/j.1365-2427.1997.00143.x
   California Department of Water Resources, 2018, CISC VIS NETW IND GL
   Carlson AK, 2017, ECOL FRESHW FISH, V26, P190, DOI 10.1111/eff.12267
   CH2M and Henry's Fork Foundation, 2016, E SNAK PLAIN AQ ESPA
   Chatfield C., 1989, ANAL TIME SERIES
   Contor B., 2004, DDW022 U ID ID WAT R
   Cristea NC, 2009, J HYDROL ENG, V14, P1080, DOI 10.1061/(ASCE)HE.1943-5584.0000072
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dams J., 2011, HYDROL EARTH SYST SC, V8, P10195, DOI DOI 10.5194/hessd-8-10195-2011
   Davis K, 2008, GEOPHYSICS, V73, pWA61, DOI 10.1190/1.2987376
   Dillon P., 2009, Managed Aquifer Recharge: an Introduction waterlines report series, V13
   Dzara JR, 2019, HYDROL EARTH SYST SC, V23, P2965, DOI 10.5194/hess-23-2965-2019
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Elmore LR, 2016, RIVER RES APPL, V32, P1415, DOI 10.1002/rra.2994
   Fernald A, 2015, HYDROL EARTH SYST SC, V19, P293, DOI 10.5194/hess-19-293-2015
   Fernald AG, 2006, REV FISH SCI, V14, P79, DOI 10.1080/10641260500341320
   Fernald AG, 2010, J IRRIG DRAIN ENG, V136, P823, DOI 10.1061/(ASCE)IR.1943-4774.0000265
   Ficklin DL, 2018, P NATL ACAD SCI USA, V115, P8553, DOI 10.1073/pnas.1801026115
   Fienen M.N., 2016, Integrated Groundwater Management: Concepts, Approaches and Challenges, DOI [DOI 10.1007/978-3-319-23576-92, 10.1007/978-3-319-23576-9, 10.1007/978-3-319-23576-92, DOI 10.1007/978-3-319-23576-9_2]
   Flinders J, 2016, 16108 IDFG
   Fullerton AH, 2018, AQUAT SCI, V80, DOI 10.1007/s00027-017-0557-9
   Grafton RQ, 2018, SCIENCE, V361, P748, DOI 10.1126/science.aat9314
   Grunder S.A., 2008, IDFG 08-129
   Healy RW, 2002, HYDROGEOL J, V10, P91, DOI 10.1007/s10040-001-0178-0
   Hortness J., 2003, SEEPAGE STUDY HENRYS
   Idaho Department of Water Resources, 2019, WAT DISTR 1 RENT POO
   Idaho Water Resource Board, 2009, E SNAK PLAIN AQ COMP
   Iwata Y, 2008, VADOSE ZONE J, V7, P79, DOI 10.2136/vzj2007.0089
   Jacobs KL, 2004, HYDROGEOL J, V12, P52, DOI 10.1007/s10040-003-0308-y
   Johnson GS, 1999, J AM WATER RESOUR AS, V35, P123, DOI 10.1111/j.1752-1688.1999.tb05457.x
   Joint Committee, 2018, Henry's Fork drought management plan
   Kendy E, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004792
   Klove B, 2014, J HYDROL, V518, P250, DOI 10.1016/j.jhydrol.2013.06.037
   Kurylyk BL, 2014, WATER RESOUR RES, V50, P3253, DOI 10.1002/2013WR014588
   Laatsch J., 2017, SCI POLITICS WILD TR, P47
   Langridge R., 2012, Environs: Environmental Law and Policy Journal, V36, P91
   Larson R.K., 2004, WATERSHED MANAGEMENT, V2000, P1, DOI [10.1061/40499(2000)56, DOI 10.1061/40499(2000)56]
   Loomis J, 2006, N AM J FISH MANAGE, V26, P301, DOI 10.1577/M05-116.1
   Low W.H., 2017, US GEOLOGIC SURVEY H, DOI [10.3133/ha696, DOI 10.3133/HA696]
   McClaren J.S., 2019, JAWRA, V55, P1323, DOI [10.1111/1752-1688.12782, DOI 10.1111/1752-1688.12782]
   Menberg K., 2014, HYDROL EARTH SYST SC, V11, P3637, DOI DOI 10.5194/hessd-11-3637-2014
   Morrisett C., 2019, LOWER HENRYS FORK HY
   Mortimer E., 2014, WATER REP, V127, P11
   Morway ED, 2013, J HYDROL, V495, P216, DOI 10.1016/j.jhydrol.2013.04.047
   Nichols AL, 2014, RIVER RES APPL, V30, P442, DOI 10.1002/rra.2655
   Niswonger RG, 2017, WATER RESOUR RES, V53, P6970, DOI 10.1002/2017WR020458
   Null SE, 2016, SCI TOTAL ENVIRON, V571, P943, DOI 10.1016/j.scitotenv.2016.07.081
   Olden JD, 2010, FRESHWATER BIOL, V55, P86, DOI 10.1111/j.1365-2427.2009.02179.x
   Olenichak T., 2015, Concepts, Practices, and Procedures Used to Distribute Water Within Water District #1
   Palmer MA, 2009, ENVIRON MANAGE, V44, P1053, DOI 10.1007/s00267-009-9329-1
   Poole GC, 2001, ENVIRON MANAGE, V27, P787, DOI 10.1007/s002670010188
   Raleigh R.F., 1984, HABITAT SUITABILITY
   Rheinheimer DE, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000693
   Rheinheimer DE, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000447
   Ronayne MJ, 2017, J HYDROL, V544, P373, DOI 10.1016/j.jhydrol.2016.11.054
   Scanlon BR, 2005, GLOBAL CHANGE BIOL, V11, P1577, DOI 10.1111/j.1365-2486.2005.01026.x
   Scanlon BR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035013
   Scherberg J, 2018, SUST WAT RESOUR MAN, V4, P275, DOI 10.1007/s40899-018-0215-y
   Scherberg J, 2014, WATER RESOUR MANAG, V28, P4971, DOI 10.1007/s11269-014-0780-2
   Slaughter RA, 2007, J AM WATER RESOUR AS, V43, P308, DOI 10.1111/j.1752-1688.2006.00024.x
   Snyder CD, 2015, ECOL APPL, V25, P1397, DOI 10.1890/14-1354.1
   Sokal RR, 2012, BIOMETRY
   Sophocleous M, 2002, HYDROGEOL J, V10, P52, DOI 10.1007/s10040-001-0170-8
   Szeptycki L.F., 2015, Environmental Water Rights Transfers: A Review of State Laws
   Tague C, 2008, CLIMATIC CHANGE, V86, P189, DOI 10.1007/s10584-007-9294-8
   Taylor CA, 2009, J HYDROL, V375, P601, DOI 10.1016/j.jhydrol.2009.07.009
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   U.S. Bureau of Reclamation, 2012, PNHFS001 US BUR RECL
   Van Kirk R, 2019, AM FISH S S, V91, P515
   Ward FA, 2008, P NATL ACAD SCI USA, V105, P18215, DOI 10.1073/pnas.0805554105
   Wenger SJ, 2011, P NATL ACAD SCI USA, V108, P14175, DOI 10.1073/pnas.1103097108
   Wytzes J., 1980, THESIS
NR 80
TC 17
Z9 21
U1 1
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAR
PY 2020
VL 12
IS 3
AR 673
DI 10.3390/w12030673
PG 21
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA LI1MS
UT WOS:000529249500058
OA gold
DA 2025-01-10
ER

PT J
AU Talal, ML
   Santelmann, MV
AF Talal, Michelle L.
   Santelmann, Mary V.
TI Vegetation management for urban park visitors: a mixed methods approach
   in Portland, Oregon
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE ecosystem services; interviews; management; qualitative research; urban
   parks; vegetation
ID BIODIVERSITY; GREEN; BIRD; PERCEPTION; OPPORTUNITIES; DIVERSITY;
   QUALITY; HEALTH; TREES
AB Urban park managers are tasked with maintaining ecological function and quality of parks while also meeting visitor preferences. The purpose of this study was to better understand how managers currently manage vegetation in parks of Portland, Oregon. Twenty-one urban park manager interviews were completed regarding 15 parks, which included natural-passive use, recreational-active use, and multi-use park types. Responses were coded for themes and patterns of meaning. Mixed methods were used to evaluate the urban park manager interview data in the context of visitor interview and plant community composition data collected at the same parks. Nonmetric multidimensional scaling ordinations were used to identify urban park manager and visitor perspectives correlated with different park types and their vegetation. Across park types, managers discussed maintenance as a favorite aspect of plant management, while ecosystem management was often described by managers of natural-passive use parks. Some managers indicated that they would make no changes to plant management, but the majority provided detailed recommendations such as enhancing maintenance, increasing staffing, adding plants, updating infrastructure, and improving plant species selection. There are opportunities to better meet the preferences of both managers and visitors by continuing to maintain large trees and trail/path vegetation for accessibility, removing invasive/harmful plants, and improving plant selection to include those that are heartier, more colorful, produce flowers, and are disease resistant, climate adapted, and provide habitat for a variety of species. While urban park managers discussed how they incorporated visitor preferences and accessibility in plant management, they also described limitations such as funding, staff resources, and undesirable visitor behaviors. Increased communication and collaboration among governmental agencies, non-profit organizations, and community members, as well as continued investment in park management and interdisciplinary mixed methods research have the potential to enhance the many ecological and social benefits of urban parks.
C1 [Talal, Michelle L.] Oregon State Univ, Environm Sci Grad Program, Corvallis, OR 97331 USA.
   [Santelmann, Mary V.] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
C3 Oregon State University; Oregon State University
RP Talal, ML (corresponding author), Oregon State Univ, Environm Sci Grad Program, Corvallis, OR 97331 USA.
EM Michelle.talal@gmail.com
RI Talal, Michelle/ABG-8024-2020
OI Santelmann, Mary/0000-0002-1074-8237
FU Urban Water Innovation Network (UWIN) National Science Foundation
   [1444758]; Oregon State University Graduate School; Oregon State
   University's Environmental Science Graduate Program
FX Oral consent was approved by the IRB and was used to protect the
   anonymity of participants. The oral consent of participants was
   documented. We thank the Portland Parks and Recreation staff and
   visitors for their participation in this study, Jenna Tilt for helping
   to develop the interview questions and validating the study codebooks,
   Mauricio Dorfman-Pesso for reviewing the Spanish translation of the
   interview and oral consent documents, and the many individuals who
   assisted during field data collection: Hattie Greydanus, Samuel Hedine,
   Grant Loomis, Hadas Moalem, Daniel Pearl, Sylvia Singer, Stevie Taylor,
   Michael Tchintcharauli-Harrison, and Ariel Willey. Financial support for
   this research was provided by the Urban Water Innovation Network (UWIN)
   National Science Foundation Grant Award #1444758, Oregon State
   University Graduate School, and Oregon State University's Environmental
   Science Graduate Program.
CR Alvey Alexis A., 2006, Urban Forestry & Urban Greening, V5, P195, DOI 10.1016/j.ufug.2006.09.003
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   Barth BJ, 2015, LANDSCAPE URBAN PLAN, V136, P122, DOI 10.1016/j.landurbplan.2014.11.003
   Baur J.W.R., 2013, Journal of Park Recreation Administration, V31, P23, DOI DOI 10.1093/BIOSCI/BIW036
   Baur JWR, 2013, LANDSCAPE URBAN PLAN, V117, P100, DOI 10.1016/j.landurbplan.2013.04.015
   Bedimo-Rung AL, 2005, AM J PREV MED, V28, P159, DOI 10.1016/j.amepre.2004.10.024
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Bjerke Tore, 2006, Urban Forestry & Urban Greening, V5, P35, DOI 10.1016/j.ufug.2006.01.006
   Botzat A, 2016, GLOBAL ENVIRON CHANG, V39, P220, DOI 10.1016/j.gloenvcha.2016.04.008
   Budruk M, 2003, USDA NE EXP, V317, P24
   Byrne J, 2012, GEOFORUM, V43, P595, DOI 10.1016/j.geoforum.2011.10.002
   Chan CS, 2015, MANAG SPORT LEIS, V20, P56, DOI 10.1080/13606719.2014.944411
   Christy J. A., 2009, URBANIZING FLORA POR, P319
   Church SP, 2018, J ENVIRON PLANN MAN, V61, P878, DOI 10.1080/09640568.2018.1428182
   City of Portland Bureau of Environmental Services, 2008, INV PLANTS STRAT REP
   City of Portland Bureau of Environmental Services, 2010, PORTL GREEN INFR QUA
   Fontana S, 2011, LANDSCAPE URBAN PLAN, V101, P278, DOI 10.1016/j.landurbplan.2011.02.033
   Frumkin H, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP1663
   Gobster PH, 2007, LANDSCAPE ECOL, V22, P959, DOI 10.1007/s10980-007-9110-x
   Hashim NHM, 2016, PROCD SOC BEHV, V234, P280, DOI 10.1016/j.sbspro.2016.10.244
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   Kaplan R., 1998, PEOPLE MIND
   Kaplan R., 1995, EXPERIENCE NATURE PS
   King County, 2016, KING COUNT OP SPAC P
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   McCune B, 2002, Analysis of Ecological Communities
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Miller JR, 2005, TRENDS ECOL EVOL, V20, P430, DOI 10.1016/j.tree.2005.05.013
   Morzillo AT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08478-210314
   Moyle B. D., 2014, Managing Leisure, V19, P400, DOI 10.1080/13606719.2014.910003
   Muratet A, 2015, LANDSCAPE URBAN PLAN, V137, P95, DOI 10.1016/j.landurbplan.2015.01.003
   Nielsen AB, 2014, URBAN ECOSYST, V17, P305, DOI 10.1007/s11252-013-0316-1
   Palliwoda J, 2017, LANDSCAPE URBAN PLAN, V157, P394, DOI 10.1016/j.landurbplan.2016.09.003
   Peters K, 2010, LEISURE SCI, V32, P418, DOI 10.1080/01490400.2010.510987
   Pojar J., 2016, PLANTS PACIFIC NW WA
   Portland Parks and Recreation, 2015, EC SUST LANDSC IN
   Portland Parks and Recreation, 2011, FOR PARK DES FUT CON
   Portland Parks and Recreation, 2018, PORTL PARKS RECR CON
   Portland Parks and Recreation, 2017, PORTL PARKS RECR STR
   Portland Parks and Recreation, 2015, NAT AR REST PLAN UPD
   Qiu L, 2013, LANDSCAPE URBAN PLAN, V119, P136, DOI 10.1016/j.landurbplan.2013.07.007
   Rossman G., 2003, Learning in the field: An introduction to qualitative research
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Selge S, 2011, BIOL CONSERV, V144, P3089, DOI 10.1016/j.biocon.2011.09.014
   Sherry Mark., 2008, SAGE ENCY QUALITATIV
   Southon GE, 2017, LANDSCAPE URBAN PLAN, V158, P105, DOI 10.1016/j.landurbplan.2016.08.003
   Svendsen ES, 2016, J ETHNOBIOL, V36, P881, DOI 10.2993/0278-0771-36.4.881
   Talal M. L., 2019, THESIS
   Talal ML, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00201
   Threlfall CG, 2016, LANDSCAPE URBAN PLAN, V153, P28, DOI 10.1016/j.landurbplan.2016.04.011
   Tilt JH, 2010, PREV MED, V50, pS69, DOI 10.1016/j.ypmed.2009.07.026
   Tisdell E.J., 2008, SAGE ENCY QUALITATIV, P331
   United States Census Bureau, 2017, QUICKFACTS PORTL CIT
   United States Department of Agriculture Soil Conservation Service, 1983, SOIL SURV MULTN COUN
   van den Berg A. E., 2008, P 9 INT C PHYS ANTHR, P132
   Weems C. M., 2016, THESIS
   White JG, 2005, LANDSCAPE URBAN PLAN, V71, P123, DOI 10.1016/j.landurbplan.2004.02.006
NR 57
TC 20
Z9 21
U1 6
U2 56
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1051-0761
EI 1939-5582
J9 ECOL APPL
JI Ecol. Appl.
PD JUN
PY 2020
VL 30
IS 4
DI 10.1002/eap.2079
EA FEB 2020
PG 18
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LV0BJ
UT WOS:000515221700001
PM 31972064
OA hybrid, Green Published
DA 2025-01-10
ER

PT C
AU Le Borgne, V
   Roghani, A
   Cobo, JH
   Thivierge, SÉ
   Charbachi, P
AF Le Borgne, V
   Roghani, A.
   Cobo, J. Hiedra
   Thivierge, S-E
   Charbachi, P.
BE Bilodeau, JP
   Nadeau, DF
   Fortier, D
   Conciatori, D
TI Design and Installation of a Geotechnical Monitoring System for
   Monitoring Freeze-Thaw Cycles on a Railway Track
SO COLD REGIONS ENGINEERING 2019
LA English
DT Proceedings Paper
CT 18th International Conference on Cold Regions Engineering and the 8th
   Canadian Permafrost Conference (ICCRE/CPC)
CY AUG 18-22, 2019
CL Quebec, CANADA
SP Canadian Geotechn Soc Eastern Quebec & Natl, Canadian Permafrost Assoc, Int Permafrost Assoc, Canadian Natl Comm, Amer Soc Civil Engineers, Cold Reg Engn Div
DE climate change; freeze thaw cycles; railway track; substructure;
   instrumentation
AB Climate change might increase the frequency of events such as heat waves, freeze-thaw cycles (FTC), and flooding, and more specifically in permafrost rich regions. These climate hazards are expected to have an impact on railway track performance. There is little publicly available data on their quantitative impacts on railway operations. Such quantitative data is essential for determining when, where, and to what extent climate adaptation measures are needed. Freeze and thaw cycle results in frost heave and thaw softening in track foundation (substructure). Both frost heave and thaw softening may lead to unsafe operating conditions especially for rail transit and passenger rail systems as their high operating speed makes them much less tolerant to deviations in track geometry parameters. In order to investigate the effects of a freeze-thaw cycles on an active railway, a structural and geotechnical monitoring system was designed and installed on a section of VIA's track in Ontario. The instruments measure various track parameters such as pore water pressure, heave, and deformation at different depth within track foundation, track temperature, strain in the rail, and track surface deformation during freeze-thaw cycles. The data logging system relays static data and high speed data that are triggered by train passages. We show that the selection of instruments and design of the data logging system provide relevant geotechnical data in a manner that could be applied to northern regions and introduce recommendations for future installations. Moreover, we discuss the installation methods appropriate for cold climates because some instruments are temperature-sensitive. Since such systems typically need to be self-sufficient special considerations have to be taken to account for the relatively high power requirements of dynamic monitoring. The suggested system is shown to be useful for track monitoring projects in permafrost-rich regions where freeze-thaw cycles are a concern.
C1 [Le Borgne, V; Thivierge, S-E] GKM Consultants, 2141 Rue Nobel, St Julie, PQ J3E 1Z9, Canada.
   [Roghani, A.] Natl Res Council Canada, 2350 Lester Rd, Ottawa, ON K1V 1S2, Canada.
   [Cobo, J. Hiedra] Natl Res Council Canada, 1200 Montreal Rd, Ottawa, ON K1A 0R6, Canada.
   [Charbachi, P.] VIA Rail Canada, Track Infrastruct Infrastruct & Bridges, Montreal, PQ, Canada.
C3 National Research Council Canada; National Research Council Canada
RP Le Borgne, V (corresponding author), GKM Consultants, 2141 Rue Nobel, St Julie, PQ J3E 1Z9, Canada.
RI COBO DIAZ, TERESA/GZG-8852-2022
OI Hiedra Cobo, Juan/0000-0002-0849-4530
FU Infrastructure Canada; NRC Construction Research center
FX The authors would like to thank Infrastructure Canada and NRC
   Construction Research center for providing funding for this research.
   Special thanks to Marianne Armstrong and Dr. Jon Makar from NRC for
   their support and leadership. Authors also would like thank RailTerm for
   providing support during the installation of instruments and Jonathan
   Meehan from Measurand for helping with the installation of SAAs.
CR [Anonymous], 2019, CAN CLIM NORM 1981 2
   Broquetas A, 2012, SENSORS-BASEL, V12, P16228, DOI 10.3390/s121216228
   Heirich O., 2011, 2011 14 INT IEEE C I
   Henry HAL, 2008, CLIMATIC CHANGE, V87, P421, DOI 10.1007/s10584-007-9322-8
   Lemmen D.S., 2008, IMPACTS ADAPTION CAN
   Li D., 2016, Railway Geotechnics
   [马凤吉 Ma Fengji], 2014, [分子科学学报, Journal of Molecular Science], V30, P1
   Mikkelsen E., 2002, GEOTECHNICAL NEWS
   Sheng D., 2014, GEOTECHNIQUE, V13, P402
   TAKAGI S, 1979, ENG GEOL, V13, P93, DOI 10.1016/0013-7952(79)90023-1
NR 10
TC 4
Z9 4
U1 0
U2 1
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
BN 978-0-7844-8259-9
PY 2019
BP 153
EP 160
PG 8
WC Construction & Building Technology; Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering
GA BP8NU
UT WOS:000566191800018
DA 2025-01-10
ER

PT J
AU Mellander, PE
   Gebrehiwot, SG
   Gärdenäs, AI
   Bewket, W
   Bishop, K
AF Mellander, Per-Erik
   Gebrehiwot, Solomon G.
   Gardenas, Annemieke I.
   Bewket, Woldeamlak
   Bishop, Kevin
TI Summer Rains and Dry Seasons in the Upper Blue Nile Basin: The
   Predictability of Half a Century of Past and Future Spatiotemporal
   Patterns
SO PLOS ONE
LA English
DT Article
ID CLIMATE-CHANGE; RIVER-BASIN; STREAM-FLOW; EL-NINO; RAINFALL;
   VARIABILITY; ETHIOPIA; HIGHLANDS; DYNAMICS; IMPACT
AB During the last 100 years the Ethiopian upper Blue Nile Basin (BNB) has undergone major changes in land use, and is now potentially facing changes in climate. Rainfall over BNB supplies over two-thirds of the water to the Nile and supports a large local population living mainly on subsistence agriculture. Regional food security is sensitive to both the amount and timing of rain and is already an important political challenge that will be further complicated if scenarios of climate change are realized. In this study a simple spatial model of the timing and duration of summer rains (Kiremt) and dry season (Bega), and annual rain over the upper BNB was established from observed data between 1952 and 2004. The model was used to explore potential impacts of climate change on these rains, using a down-scaled ECHAM5/MP1-OM scenario between 2050 and 2100. Over the observed period the amount, onset and duration of Kiremt rains and rain-free Bega days have exhibited a consistent spatial pattern. The spatially averaged annual rainfall was 1490 mm of which 93% was Kiremt rain. The average Kiremt rain and number of rainy days was higher in the southwest (322 days) and decreased towards the north (136 days). Under the 2050-2100 scenario, the annual mean rainfall is predicted to increase by 6% and maintain the same spatial pattern as in the past. A larger change in annual rainfall is expected in the southwest (ca. +130 mm) with a gradually smaller change towards the north (ca. +70 mm). Results highlight the need to account for the characteristic spatiotemporal zonation when planning water management and climate adaptation within the upper BNB. The presented simple spatial resolved models of the presence of Kiremt and annual total rainfall could be used as a baseline for such long-term planning.
C1 [Mellander, Per-Erik] Johnstown Castle Environm Res Ctr, TEAGASC, Agr Catchments Programme, Wexford, County Wexford, Ireland.
   [Gebrehiwot, Solomon G.; Bishop, Kevin] Swedish Univ Agr Sci, Dept Aquat Sci & Assessment, Uppsala, Sweden.
   [Gardenas, Annemieke I.] Swedish Univ Agr Sci, Dept Soil & Environm, Uppsala, Sweden.
   [Bewket, Woldeamlak] Univ Addis Ababa, Dept Geog & Environm Studies, Addis Ababa, Ethiopia.
   [Gebrehiwot, Solomon G.] Univ Addis Ababa, Ethiopian Inst Water Resources, Addis Ababa, Ethiopia.
   [Bishop, Kevin] Uppsala Univ, Dept Earth Sci, Uppsala, Sweden.
C3 Teagasc; Swedish University of Agricultural Sciences; Swedish University
   of Agricultural Sciences; Addis Ababa University; Addis Ababa
   University; Uppsala University
RP Mellander, PE (corresponding author), Johnstown Castle Environm Res Ctr, TEAGASC, Agr Catchments Programme, Wexford, County Wexford, Ireland.
EM Per-Erik.Mellander@teagasc.ie
RI Gärdenäs, Annemieke/AAE-9564-2019; Bishop, Kevin/C-7816-2012
OI Gebrehiwot, Solomon Gebreyohannis/0000-0001-7190-3176; Mellander,
   Per-Erik/0000-0002-7261-6758; Reurslag Gardenas,
   Annemarie/0000-0001-8390-220X
FU Swedish International Development Cooperation Agency
FX This study was funded by the Swedish International Development
   Cooperation Agency, http://www.sida.se/English/. The funders had no role
   in study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Abtew W, 2009, HYDROL PROCESS, V23, P3653, DOI 10.1002/hyp.7367
   [Anonymous], ABB RIV BAS INT DEV
   [Anonymous], CLIMATE CHANGE AFRIC
   [Anonymous], 2006, Ethiopia: Managing Water Resources to Maximize Growth
   Bewket W, 2005, HYDROL PROCESS, V19, P445, DOI 10.1002/hyp.5542
   Bewket W., 2008, Ethiopian Journal of Development Research, V29, P1
   Bewket W, 2009, RAINWATER HARVESTING, P168
   Bitew MM, 2009, HYDROL PROCESS, V23, P3670, DOI 10.1002/hyp.7468
   Block P, 2012, REV DEV ECON, V16, P476, DOI 10.1111/j.1467-9361.2012.00675.x
   Bossio D., 2012, Water Alternatives, V5, P223
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Camberlin P, 1997, J CLIMATE, V10, P1380, DOI 10.1175/1520-0442(1997)010<1380:RAITSR>2.0.CO;2
   Camberlin P, 2009, MONOGR BIOL, V89, P307
   Conway D, 2000, GEOGR J, V166, P49, DOI 10.1111/j.1475-4959.2000.tb00006.x
   de Boer B, 2007, KNMI PUBLICATION, P46
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Endalew GJ, 2007, 200702 KNMI WR
   Engida AN, 2011, J HYDROL, V399, P226, DOI 10.1016/j.jhydrol.2011.01.001
   Gebrehiwot SG, 2012, THESIS SWEDISH U AGR, P13
   Gebrehiwot SG, 2010, AMBIO, V39, P284, DOI 10.1007/s13280-010-0047-y
   Haile AT, 2009, J APPL METEOROL CLIM, V48, P1696, DOI 10.1175/2009JAMC2092.1
   Hulme M., 2005, Climate change and Africa, P29, DOI 10.1017/CBO9780511535864.013
   Jury MR, 2010, THEOR APPL CLIMATOL, V101, P29, DOI 10.1007/s00704-009-0200-3
   Kim U, 2008, J AM WATER RESOUR AS, V44, P1231, DOI 10.1111/j.1752-1688.2008.00220.x
   Kim U, 2009, J AM WATER RESOUR AS, V45, P1361, DOI 10.1111/j.1752-1688.2009.00369.x
   López-Moreno JI, 2009, J HYDROL, V374, P384, DOI 10.1016/j.jhydrol.2009.06.049
   López-Moreno JI, 2009, THEOR APPL CLIMATOL, V95, P375, DOI 10.1007/s00704-008-0015-7
   Mellander PE, 2007, CLIMATIC CHANGE, V85, P179, DOI 10.1007/s10584-007-9254-3
   Ministry of Water Resources, 1998, ABB RIV BAS INT DEV
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   Mohamed YA, 2005, HYDROL EARTH SYST SC, V9, P693
   Nicol A, 2011, REV AFR POLIT ECON, V38, P317, DOI 10.1080/03056244.2011.582767
   Openshaw K., 2005, Climate change and Africa, P113, DOI 10.1017/CBO9780511535864.021
   Rosell S, 2011, APPL GEOGR, V31, P329, DOI 10.1016/j.apgeog.2010.07.005
   Segele ZT, 2005, METEOROL ATMOS PHYS, V89, P153, DOI 10.1007/s00703-005-0127-x
   Seleshi Y, 2004, INT J CLIMATOL, V24, P973, DOI 10.1002/joc.1052
   Tadege A., 2007, CLIMATE CHANGE NATL
   Taye MT, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011466
   Tesemma ZK, 2010, HYDROL PROCESS, V24, P3747, DOI 10.1002/hyp.7893
   Walker W.E., 2003, INTEGRATED ASSESSMEN, V4, P5, DOI [DOI 10.1076/IAIJ.4.1.5.16466, https://doi.org/10.1076/iaij.4.1.5.16466]
   Weibull W., 1961, Fatigue testing and analysis of results
   Zaitchik BF, 2012, INT J ENV RES PUB HE, V9, P435, DOI 10.3390/ijerph9020435
   Zelle H, 2005, J CLIMATE, V18, P4669, DOI 10.1175/JCLI3574.1
NR 43
TC 36
Z9 37
U1 0
U2 27
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 JUL 15
PY 2013
VL 8
IS 7
AR e68461
DI 10.1371/journal.pone.0068461
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 200ZN
UT WOS:000323110600018
PM 23869219
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Lung, T
   Lavalle, C
   Hiederer, R
   Dosio, A
   Bouwer, LM
AF Lung, Tobias
   Lavalle, Carlo
   Hiederer, Roland
   Dosio, Alessandro
   Bouwer, Laurens M.
TI A multi-hazard regional level impact assessment for Europe combining
   indicators of climatic and non-climatic change
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Indicator; Heat stress; Flood; Forest fire;
   Vulnerability
ID QUANTITATIVE VULNERABILITY ASSESSMENT; ADAPTIVE CAPACITY; SPATIALLY
   EXPLICIT; POTENTIAL IMPACTS; HEAT-STRESS; FLOOD RISK; ADAPTATION;
   MORTALITY; LOSSES
AB To better prioritise adaptation strategies to a changing climate that are currently being developed, there is a need for quantitative regional level assessments that are systematic and comparable across multiple weather hazards. This study presents an indicator-based impact assessment framework at NUTS-2 level for the European Union that quantifies potential regional changes in weather-related hazards: heat stress in relation to human health, river flood risk, and forest fire risk. This is done by comparing the current (baseline) situation with two future time periods, 2011-2040 and 2041-2070. The indicator values for the baseline period are validated against observed impact data. For each hazard, the method integrates outcomes of a set of coherent high-resolution regional climate models from the ENSEMBLES project based on the SRES A1B emission scenario, with current and projected non-climatic drivers of risk, such as land use and socio-economic change. An index of regional adaptive capacity has been developed and compared with overall hazard impact in order to identify the potentially most vulnerable regions in Europe. The results show strongest increases in impacts for heat stress, followed by forest fire risk, while for flood risk the sign and magnitude of change vary across regions. A major difference with previous studies is that heat stress risk could increase most in central Europe, which is due to the ageing population there. An overall assessment combining the three hazards shows a clear trend towards increasing impact from climaterelated natural hazards for most parts of Europe, but hotspot regions are found in eastern and southern Europe due to their low adaptive capacities. This spatially explicit assessment can serve as a basis for discussing climate adaptation mainstreaming, and priorities for regional development in the EU. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Lung, Tobias; Lavalle, Carlo; Hiederer, Roland; Dosio, Alessandro] Commiss European Communities, DG Joint Res Ctr JRC, Inst Environm & Sustainabil, I-21027 Ispra, VA, Italy.
   [Bouwer, Laurens M.] Vrije Univ Amsterdam, Inst Environm Studies, NL-1081 HV Amsterdam, Netherlands.
C3 European Commission Joint Research Centre; EC JRC ISPRA Site; Vrije
   Universiteit Amsterdam
RP Lung, T (corresponding author), Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Via E Fermi,2749-TP272, I-21027 Ispra, VA, Italy.
EM tobias.lung@jrc.ec.europa.eu; carlo.lavalle@jrc.ec.europa.eu;
   roland.hiederer@jrc.ec.europa.eu; alessandro.dosio@jrc.ec.europa.eu;
   laurens.bouwer@vu.nl
RI Dosio, Alessandro/U-9093-2017; Bouwer, Laurens/AAV-7628-2021
OI Bouwer, Laurens/0000-0003-3498-2586; Dosio,
   Alessandro/0000-0002-6365-9473
FU Research Directorate-General of the European Commission [244092]
FX This work was funded by the Research Directorate-General of the European
   Commission through its Seventh Framework Programme project RESPONSES
   (Grant Agreement number 244092). The authors would like to thank the
   following persons (all JRC-IES) for the provision of data: L. Feyen and
   R. Rojas: LISFLOOD runs based on ENSEMBLES climate models; F. Batista:
   refined CORINE land cover; C. Baranzelli, S. Mubareka and C. Rocha
   Gomez: land use data from EU-ClueScanner; Tracy H. Durrant: data on fire
   history (burnt areas) from the European Forest Fire Information System
   (EFFIS). Furthermore, we would like to thank A. Camia for the provision
   of FUELMAP project data and for his advice on constructing the forest
   fire risk indicator. The authors would also like to thank two anonymous
   reviewers for their helpful comments.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Annoni P.y., 2010, EU Regional Competitiveness Index 2010
   [Anonymous], 2009, Assessing vulnerability to global environmental change: making research useful for adaptation decision making and policy
   [Anonymous], 2008, 42008 EEAJRCWHO
   [Anonymous], 2010, EEA TECH REP
   [Anonymous], 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide
   [Anonymous], CLIM CHANG IN PRESS
   [Anonymous], 2005, Ecosystems and human well-being, V5
   [Anonymous], 64456 JRC EUR COMM
   [Anonymous], GEOPH RES ABSTR
   [Anonymous], 5 EUR COMM DIR GEN R
   [Anonymous], 11 JRC EUR COMM
   [Anonymous], J MAPS IN PRESS
   [Anonymous], 46533 JRC EUR COMM
   [Anonymous], 1474 EC COM COMM EUR
   [Anonymous], 2009, EMSEMBLES CLIMATE CH
   Baccini M, 2011, J EPIDEMIOL COMMUN H, V65, P64, DOI 10.1136/jech.2008.085639
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Barredo JI, 2007, WATER SCI TECHNOL, V56, P11, DOI 10.2166/wst.2007.531
   Barredo JI, 2010, NAT HAZARD EARTH SYS, V10, P97, DOI 10.5194/nhess-10-97-2010
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Silva FBE, 2013, J LAND USE SCI, V8, P255, DOI 10.1080/1747423X.2012.667450
   Bazerman MH, 2006, CLIMATIC CHANGE, V77, P179, DOI 10.1007/s10584-006-9058-x
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Bouwer LM, 2007, SCIENCE, V318, P753, DOI 10.1126/science.1149628
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Christensen JH, 2010, CLIM RES, V44, P179, DOI 10.3354/cr00916
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Dankers R, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009719
   Dessai S, 2003, INT J BIOMETEOROL, V48, P37, DOI 10.1007/s00484-003-0180-4
   Dosio A, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017968
   Dosio A, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD015934
   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]
   Feyen L, 2009, WATER AND URBAN DEVELOPMENT PARADIGMS, P217
   Feyen L, 2012, CLIMATIC CHANGE, V112, P47, DOI 10.1007/s10584-011-0339-7
   Feyen L, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD011438
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   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
   Gallego FJ, 2010, POPUL ENVIRON, V31, P460, DOI 10.1007/s11111-010-0108-y
   Greiving S., 2006, MEASURING VULNERABIL, P210
   Hagemann S, 2011, J HYDROMETEOROL, V12, P556, DOI 10.1175/2011JHM1336.1
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hinkel J, 2010, MITIG ADAPT STRAT GL, V15, P703, DOI 10.1007/s11027-010-9237-y
   Hofmann ME, 2011, GLOBAL ENVIRON CHANG, V21, P1106, DOI 10.1016/j.gloenvcha.2011.03.011
   IPCC, 2000, SPEC REP IPCC WORK G
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Lavalle C, 2011, LECT NOTES COMPUT SC, V6782, P60
   Lissner TK, 2012, CLIMATIC CHANGE, V112, P687, DOI 10.1007/s10584-011-0231-5
   Luers AL, 2003, GLOBAL ENVIRON CHANG, V13, P255, DOI 10.1016/S0959-3780(03)00054-2
   McMichael AJ, 2008, INT J EPIDEMIOL, V37, P1121, DOI 10.1093/ije/dyn086
   Metzger MJ, 2008, REG ENVIRON CHANGE, V8, P91, DOI 10.1007/s10113-008-0044-x
   Metzger MJ, 2006, REG ENVIRON CHANGE, V6, P201, DOI 10.1007/s10113-006-0020-2
   Metzger MJ, 2006, AGR ECOSYST ENVIRON, V114, P69, DOI 10.1016/j.agee.2005.11.025
   Moriondo M, 2006, CLIM RES, V31, P85, DOI 10.3354/cr031085
   Munda G., 2005, Constructing consistent composite indicators: The issue of weights
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Padilla M, 2011, INT J WILDLAND FIRE, V20, P46, DOI 10.1071/WF09139
   Patwardhan A, 2009, CURR OPIN ENV SUST, V1, P219, DOI 10.1016/j.cosust.2009.10.010
   Piani C, 2010, J HYDROL, V395, P199, DOI 10.1016/j.jhydrol.2010.10.024
   Piani C, 2010, THEOR APPL CLIMATOL, V99, P187, DOI 10.1007/s00704-009-0134-9
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rannow S, 2010, LANDSCAPE URBAN PLAN, V98, P160, DOI 10.1016/j.landurbplan.2010.08.017
   Rojas R, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017461
   Rojas R, 2011, HYDROL EARTH SYST SC, V15, P2599, DOI 10.5194/hess-15-2599-2011
   Rounsevell MDA, 2006, AGR ECOSYST ENVIRON, V114, P57, DOI 10.1016/j.agee.2005.11.027
   San-Miguel-Ayanz J., 2003, CURRENT METHODS ASSE, P21
   Schelhaas MJ, 2010, MITIG ADAPT STRAT GL, V15, P681, DOI 10.1007/s11027-010-9243-0
   Sharma U, 2008, MITIG ADAPT STRAT GL, V13, P819, DOI 10.1007/s11027-008-9143-8
   Stephenson TS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009127
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Toulemon L, 2008, POP STUD-J DEMOG, V62, P39, DOI 10.1080/00324720701804249
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Van Der Knijff JM, 2010, INT J GEOGR INF SCI, V24, P189, DOI 10.1080/13658810802549154
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
NR 79
TC 106
Z9 112
U1 3
U2 114
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 APR
PY 2013
VL 23
IS 2
BP 522
EP 536
DI 10.1016/j.gloenvcha.2012.11.009
PG 15
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 135YV
UT WOS:000318327500013
DA 2025-01-10
ER

PT J
AU Rweyongeza, DM
   Barnhardt, LK
   Dhir, NK
   Hansen, C
AF Rweyongeza, D. M.
   Barnhardt, L. K.
   Dhir, N. K.
   Hansen, C.
TI Population Differentiation and Climatic Adaptation for Growth Potential
   of White Spruce (<i>Picea</i> <i>glauca</i>) in Alberta, Canada
SO SILVAE GENETICA
LA English
DT Article
DE Multivariate Climatic Index; Cluster Analysis; Genetic Variation;
   Optimum Climate; Principal Component; Response Functions
ID PREDICT OPTIMAL-GROWTH; PROVENANCE TESTS; GENETIC DIFFERENTIATION;
   RESPONSE FUNCTIONS; PINUS-CONTORTA; PHOTOPERIOD; EVOLUTION; SURVIVAL;
   IMPACTS
AB Genetic differentiation among white spruce populations in Alberta, Canada, was studied using time series data of height and diameter and a climatic index developed by principal component analysis. The objectives were to discern patterns of variation for growth potential and predicted optimum climate; compare optimum climate between populations, between height and diameter at the same age and between height or diameter at different ages; and to see if optimum climate differed from the climate inhabited by populations. Using cluster analysis we found that: (1) populations from mid-latitudes (54 degrees - 57 degrees N) and mid-elevations (600 - 800 m) were grouped together and exhibited high growth potential; populations from north of 57 degrees N were grouped with those from elevations higher than 900m in the Rocky Mountains and exhibited low growth potential; and (2) With minor exceptions, populations from similar climates or geography were grouped together in terms of predicted optimum climate. (3) Analysis of variance showed that optimum climate differed significantly (P < 0.05) among populations; among heights at different ages; among diameters at different ages and between height and diameter at the same ages. However, there was no consistent trend in the direction of change in optimum climate with tree age. (4) The range of climate inhabited by the populations (P-I1 = -5.792 to 4.483) was much wider than the range of their predicted optimum climate (<(P)over cap> ((o) over bar1) = -1.001 to 0.842), which suggests that in terms of growth potential some populations inhabit sub-optimal climates. Implications of the results on management of white spruce in Alberta are discussed.
C1 [Rweyongeza, D. M.; Barnhardt, L. K.; Dhir, N. K.; Hansen, C.] Alberta Sustainable Resource Dev, Reforestat Sect, Edmonton, AB T5K 2M4, Canada.
RP Rweyongeza, DM (corresponding author), Alberta Sustainable Resource Dev, Reforestat Sect, 7th Floor,9920-108 St, Edmonton, AB T5K 2M4, Canada.
EM Deogratias.Rweyongeza@gov.ab.ca
RI Hansen, Christian/ABE-6060-2020
OI RWEYONGEZA, Deogratias/0000-0003-0360-2659
FU Government of Alberta; Manning Forestry Research Fund
FX We thank the technical and field staff of the Alberta Tree Improvement
   and Seed Centre, and its cooperative genetics and tree improvement
   partners for establishing, managing and measuring field trials, and
   managing the data. Critical reviews and suggestions by the two anonymous
   referees are sincerely appreciated. This research was funded in part by
   the Government of Alberta (Alberta Sustainable Resource Development) and
   Manning Forestry Research Fund.
CR *AARD, 2005, AGR LAND RES ATL ALB
   Andalo C, 2005, FOREST ECOL MANAG, V205, P169, DOI 10.1016/j.foreco.2004.10.045
   [Anonymous], PUBL ALB ENV T
   [Anonymous], 1969, P 10 SO FOR TREE IMP
   CANNELL MGR, 1974, J APPL ECOL, V11, P1091, DOI 10.2307/2401768
   Carter T.R., 1999, GUIDELINES USE SCENA
   DOAK CLIFTON C., 1935, ILLINOIS BIOL MONOGR, V13, P1
   *EARTH INC, 1994, DAT GUID
   *ENV CAN, 1993, CAN CLIM NORM 1961 1
   Futuyma D.J., 1979, Evolutionary Biology
   GIERTYCH M, 1979, SILVAE GENET, V28, P136
   KRAMER P J, 1979, P811
   KRUTZSCH P, 1992, SILVAE GENET, V41, P143
   LANGLET O, 1971, Taxon, V20, P653, DOI 10.2307/1218596
   Langlet O., 1959, Silvae Genetica, V8, P13
   Lanner R. M., 1976, Tree physiology and yield improvement - shoot and cambial growth., P223
   LAROI GH, 1968, CAN J BOTANY, V46, P649, DOI 10.1139/b68-093
   LARSON PR, 1962, AM J BOT, V49, P132, DOI 10.2307/2439028
   Linhart YB, 1996, ANNU REV ECOL SYST, V27, P237, DOI 10.1146/annurev.ecolsys.27.1.237
   Loehle C, 1998, J BIOGEOGR, V25, P735, DOI 10.1046/j.1365-2699.1998.2540735.x
   MATYAS C, 1992, SILVAE GENET, V41, P370
   MELLEROWICZ EJ, 1992, PHYSIOL PLANTARUM, V85, P515, DOI 10.1111/j.1399-3054.1992.tb05820.x
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   Rajora O, 2000, CAN J BOT, V78, P768, DOI 10.1139/cjb-78-6-768
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Rehfeldt GE, 2001, CLIMATIC CHANGE, V50, P355, DOI 10.1023/A:1010614216256
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   REHFELDT GE, 1978, ECOLOGY, V59, P1264, DOI 10.2307/1938240
   ROBERDS JH, 1990, SILVAE GENET, V39, P121
   Rweyongeza DM, 2007, SILVAE GENET, V56, P117, DOI 10.1515/sg-2007-0018
   SAS, 2004, SAS SYST WIND 91
   SCHMIDTLING RC, 1994, TREE PHYSIOL, V14, P805, DOI 10.1093/treephys/14.7-8-9.805
   STEPHENSON NL, 1990, AM NAT, V135, P649, DOI 10.1086/285067
   Taiz L., 2018, FUNDAMENTALS PLANT P
   Thomson AM, 2008, CAN J FOREST RES, V38, P157, DOI 10.1139/X07-122
   Thomson AM, 2009, CAN J FOREST RES, V39, P143, DOI 10.1139/X08-167
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   *US DEP COMM, 1994, US DIV STAT CLIM DAT, V1
   VAARTAJA O, 1954, CAN J BOT, V32, P392, DOI 10.1139/b54-036
   VAARTAJA O, 1959, ECOL MONOGR, V29, P91, DOI 10.2307/1942199
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   WAREING P. F., 1956, NEW PHYTOL, V55, P356, DOI 10.1111/j.1469-8137.1956.tb05295.x
   Wu HX, 2004, FOREST ECOL MANAG, V194, P177, DOI 10.1016/j.foreco.2004.02.017
NR 43
TC 9
Z9 10
U1 0
U2 16
PU SCIENDO
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND
SN 0037-5349
EI 2509-8934
J9 SILVAE GENET
JI Silvae Genet.
PY 2010
VL 59
IS 4
BP 158
EP 169
DI 10.1515/sg-2010-0019
PG 12
WC Forestry; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry; Genetics & Heredity
GA 676HB
UT WOS:000283900500004
OA gold
DA 2025-01-10
ER

PT J
AU Willby, NJ
   Law, A
   Levanoni, O
   Foster, G
   Ecke, F
AF Willby, Nigel J.
   Law, Alan
   Levanoni, Oded
   Foster, Garth
   Ecke, Frauke
TI Rewilding wetlands: beaver as agents of within-habitat heterogeneity and
   the responses of contrasting biota
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE beaver; wetland; aquatic plants; beetle; richness; heterogeneity
ID ECOSYSTEM ENGINEER; SPECIES RICHNESS; CASTOR-FIBER; WATER; BIODIVERSITY;
   RESTORATION; MANAGEMENT; COMMUNITIES; HERBIVORY; DYNAMICS
AB Ecosystem engineers can increase biodiversity by creating novel habitat supporting species that would otherwise be absent. Their more routine activities further influence the biota occupying engineered habitats. Beavers are well-known for transforming ecosystems through dam building and are therefore increasingly being used for habitat restoration, adaptation to climate extremes and in long-term rewilding. Abandoned beaver ponds (BP) develop into meadows or forested wetlands that differ fundamentally from other terrestrial habitats and thus increase landscape diversity. Active BP, by contrast, are superficially similar to other non-engineered shallow wetlands, but ongoing use and maintenance might affect how BP contribute to aquatic biodiversity. We explored the 'within-habitat' effect of an ecosystem engineer by comparing active BP in southern Sweden with coexisting other wetlands (OW), using sedentary (plants) and mobile (water beetles) organisms as indicators. BP differed predictably from OW in environmental characteristics and were more heterogeneous. BP supported more plant species at plot (+15%) and site (+33%) scales, and plant beta diversity, based on turnover between plots, was 17% higher than in OW, contributing to a significantly larger species pool in BP (+17%). Beetles were not differentiated between BP and OW based on diversity measures but were 26% more abundant in BP. Independent of habitat creation beaver are thus significant agents of within-habitat heterogeneity that differentiates BP from other standing water habitat; as an integral component of the rewilding of wetlands re-establishing beaver should benefit aquatic biodiversity across multiple scales.
C1 [Willby, Nigel J.; Law, Alan] Univ Stirling, Biol & Environm Sci, Stirling FK9 4LA, Scotland.
   [Levanoni, Oded; Ecke, Frauke] Swedish Univ Agr Sci, Dept Aquat Sci & Assessment, POB 7050, S-75007 Uppsala, Sweden.
   [Foster, Garth] Aquat Coleoptera Conservat Trust, 3 Eglinton Terrace, Ayr KA7 1JJ, Scotland.
   [Ecke, Frauke] Swedish Univ Agr Sci, Dept Wildlife Fish & Environm Studies, S-90183 Umea, Sweden.
C3 University of Stirling; Swedish University of Agricultural Sciences;
   Swedish University of Agricultural Sciences
RP Willby, NJ (corresponding author), Univ Stirling, Biol & Environm Sci, Stirling FK9 4LA, Scotland.
EM n.j.willby@stir.ac.uk
RI Law, Alan/B-3008-2016; levanoni, oded/D-3095-2013; Ecke,
   Frauke/AAW-6468-2021
OI Willby, Nigel/0000-0002-1020-0933; Law, Alan/0000-0001-5971-3214
FU Swedish Research Council Formas [2010-1647]; Carnegie Trust; University
   of Stirling Horizon studentship
FX The Swedish Research Council Formas (grant no. 2010-1647) financed the
   contributions of O.L. and F.E. We thank the Carnegie Trust for a grant
   to cover travel costs and a University of Stirling Horizon studentship
   for funding of A.L.
CR Bakker ES, 2016, ECOGRAPHY, V39, P162, DOI 10.1111/ecog.01651
   Biggs J, 2005, AQUAT CONSERV, V15, P693, DOI 10.1002/aqc.745
   Bloechl A, 2010, LIMNOLOGICA, V40, P215, DOI 10.1016/j.limno.2009.08.001
   Burchsted D, 2010, BIOSCIENCE, V60, P908, DOI 10.1525/bio.2010.60.11.7
   CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
   Colwell RK, 2004, ECOLOGY, V85, P2717, DOI 10.1890/03-0557
   Correll DL, 2000, BIOGEOCHEMISTRY, V49, P217, DOI 10.1023/A:1006330501887
   Dalbeck L, 2007, AMPHIBIA-REPTILIA, V28, P493, DOI 10.1163/156853807782152561
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Fairchild GW, 2000, FRESHWATER BIOL, V44, P523, DOI 10.1046/j.1365-2427.2000.00601.x
   France RL, 1997, CAN J ZOOL, V75, P1009, DOI 10.1139/z97-121
   Gaywood M., 2015, Beavers in Scotland: a Report to the Scottish Government
   Gibson PP, 2014, AQUAT CONSERV, V24, P391, DOI 10.1002/aqc.2432
   Gurnell AM, 1998, PROG PHYS GEOG, V22, P167, DOI 10.1191/030913398673990613
   Halley DJ, 2002, MAMMAL REV, V32, P153, DOI 10.1046/j.1365-2907.2002.00106.x
   Hartman G, 1996, J ZOOL, V240, P317, DOI 10.1111/j.1469-7998.1996.tb05288.x
   Hartman Goran, 2011, P13
   Hood GA, 2008, BIOL CONSERV, V141, P556, DOI 10.1016/j.biocon.2007.12.003
   Hood GA, 2014, WETLANDS, V34, P19, DOI 10.1007/s13157-013-0476-z
   Hsieh TC, 2016, INT SYMP WIREL
   Jäch MA, 2008, HYDROBIOLOGIA, V595, P419, DOI 10.1007/s10750-007-9117-y
   Jones CG, 1997, ECOLOGY, V78, P1946, DOI 10.1890/0012-9658(1997)078[1946:PANEOO]2.0.CO;2
   Karlsson T, 2013, CHECKLISTA NORDENS K
   Kemp PS, 2012, FISH FISH, V13, P158, DOI 10.1111/j.1467-2979.2011.00421.x
   Law A, 2017, SCI TOTAL ENVIRON, V605, P1021, DOI 10.1016/j.scitotenv.2017.06.173
   Law A, 2016, FRESHWATER BIOL, V61, P486, DOI 10.1111/fwb.12721
   Law A, 2014, AQUAT BOT, V116, P27, DOI 10.1016/j.aquabot.2014.01.004
   McMaster RT, 2001, RHODORA, V103, P293
   Moss B, 2015, FRESHWATER BIOL, V60, P1964, DOI 10.1111/fwb.12614
   NAIMAN RJ, 1988, BIOSCIENCE, V38, P753, DOI 10.2307/1310784
   Nienhuis PH, 2002, HYDROBIOLOGIA, V478, P219, DOI 10.1023/A:1021090900341
   Nilsson AN, 2014, CATALOGUE PALAEARCTI
   Nummi P, 2014, AQUAT CONSERV, V24, P623, DOI 10.1002/aqc.2437
   Nummi P, 2011, BIODIVERS CONSERV, V20, P851, DOI 10.1007/s10531-010-9986-7
   Parker JD, 2007, OECOLOGIA, V151, P616, DOI 10.1007/s00442-006-0618-6
   Pollock MM, 2014, BIOSCIENCE, V64, P279, DOI 10.1093/biosci/biu036
   Pollock MM, 1998, ECOLOGY, V79, P94
   Prugh LR, 2012, J ANIM ECOL, V81, P667, DOI 10.1111/j.1365-2656.2011.01930.x
   Puttock A, 2018, EARTH SURF PROC LAND, V43, P2358, DOI 10.1002/esp.4398
   Rolauffs P, 2001, HYDROBIOLOGIA, V459, P201, DOI 10.1023/A:1012507613952
   Romero GQ, 2015, BIOL REV, V90, P877, DOI 10.1111/brv.12138
   Thiere G, 2009, BIOL CONSERV, V142, P964, DOI 10.1016/j.biocon.2009.01.006
   Thompson S, 2016, FOREST ECOL MANAG, V360, P1, DOI 10.1016/j.foreco.2015.10.019
   Törnblom J, 2011, BALT FOR, V17, P154
   Vavrek MJ, 2011, PALAEONTOL ELECTRON, V14
   Vigerstol KL, 2011, J ENVIRON MANAGE, V92, P2403, DOI 10.1016/j.jenvman.2011.06.040
   Whitfield CJ, 2015, AMBIO, V44, P7, DOI 10.1007/s13280-014-0575-y
   Wickham H., 2016, plyr: Tools for splitting, applying and combining data
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Wright JP, 2002, OECOLOGIA, V132, P96, DOI 10.1007/s00442-002-0929-1
   Wright JP, 2004, OIKOS, V105, P336, DOI 10.1111/j.0030-1299.2004.12654.x
   Zuur A., 2013, Highland Statistics
NR 52
TC 57
Z9 61
U1 4
U2 136
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 DEC 5
PY 2018
VL 373
IS 1761
SI SI
AR 20170444
DI 10.1098/rstb.2017.0444
PG 8
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA GZ4DZ
UT WOS:000449344900012
PM 30348871
OA Bronze, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Silva, MF
   Leao, ALF
   O'Connor, A
   Hallal, PC
   Ding, D
   Hinckson, E
   Benmarhnia, T
   Reis, RS
AF Silva, Milena Franco
   Leao, Ana Luiza Favarao
   O'Connor, Aine
   Hallal, Pedro C.
   Ding, Ding
   Hinckson, Erica
   Benmarhnia, Tarik
   Reis, Rodrigo Siqueira
TI Understanding the Relationships Between Physical Activity and Climate
   Change: An Umbrella Review
SO JOURNAL OF PHYSICAL ACTIVITY & HEALTH
LA English
DT Article
DE climate crisis; exercise; public health; health promotion; sports
ID HEALTH-BENEFITS; AIR-POLLUTION; INACTIVITY; IMPACT
AB Background: Physical activity is crucial for maintaining health and preventing chronic diseases. However, climate conditions can impact physical activity patterns, and conversely, physical activity can impact climate change. This umbrella review aims to summarize the existing evidence regarding the relationships between physical activity and climate change, as revealed in previous reviews. Methods: Systematic reviews and meta-analyses were analyzed. Searches were conducted across GreenFILE, PubMed, and Web of Science databases for peer-reviewed articles published in English. A 2-stage independent screening process was conducted, and methodological quality was assessed using the JBI framework. Standardized data extraction methods were then applied. Results: Out of 1292 articles retrieved, 7 met all eligibility criteria and were included in the review. Three articles examined physical activity as a primary exposure, 3 focused on the impacts of climate change, and one considered both physical activity and climate change as primary exposures. Conclusions: Findings reveal an interplay between climate change and physical activity. While rising temperatures may prompt outdoor activities up to a certain temperature threshold, air pollution and extreme heat can have harmful effects. Active transportation and improved logistics around large-scale sporting events can mitigate climate change by reducing greenhouse gas emissions, but transportation systems linked to sports venues may increase emissions. Research on the reciprocal relationship between climate change and physical activity domains, and integrating the community into climate discussions, is crucial for equity, especially for marginalized communities. Incorporating climate adaptation and mitigation strategies in physical activity infrastructure to minimize environmental impacts is critical.
C1 [Silva, Milena Franco; Leao, Ana Luiza Favarao; Reis, Rodrigo Siqueira] Washington Univ St Louis, Prevent Res Ctr, Brown Sch, People Hlth & Pl Unit, St Louis, MO 63130 USA.
   [O'Connor, Aine] Univ North Carolina, Gillings Sch Global Publ Hlth, Dept Hlth Behav, Chapel Hill, NC USA.
   [Hallal, Pedro C.] Univ Illinois, Dept Hlth & Kinesiol, Urbana, IL USA.
   [Ding, Ding] Univ Sydney, Fac Med & Hlth, Sydney Sch Publ Hlth, Prevent Res Collaborat, Sydney, NSW, Australia.
   [Ding, Ding] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia.
   [Hinckson, Erica] Auckland Univ Technol, Fac Hlth & Environm Sci, Human Potential Ctr, Sch Sport & Recreat, Auckland, New Zealand.
   [Benmarhnia, Tarik] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA USA.
   [Benmarhnia, Tarik] Univ Rennes, Irset Inst Rech Sante Environm & Travail, Inserm, EHESP, Rennes, France.
C3 Washington University (WUSTL); University of North Carolina; University
   of North Carolina Chapel Hill; University of Illinois System; University
   of Illinois Urbana-Champaign; University of Sydney; University of
   Sydney; Auckland University of Technology; University of California
   System; University of California San Diego; Scripps Institution of
   Oceanography; Ecole des Hautes Etudes en Sante Publique (EHESP);
   Institut National de la Sante et de la Recherche Medicale (Inserm);
   Universite de Rennes
RP Silva, MF (corresponding author), Washington Univ St Louis, Prevent Res Ctr, Brown Sch, People Hlth & Pl Unit, St Louis, MO 63130 USA.
EM f.milena@wustl.edu
RI Ding, Ding/AAF-9985-2021; Hinckson, Erica/G-2016-2011; Reis,
   Rodrigo/F-7447-2012
OI O'Connor, Aine/0000-0002-8903-4092; Franca, Marcia/0009-0008-0768-574X;
   Reis, Rodrigo/0000-0002-9872-9865; Hallal, Pedro/0000-0003-1470-6461;
   Favarao Leao, Ana Luiza/0000-0002-0914-0937; Ding,
   Ding/0000-0001-9850-9224; Hinckson, Erica/0000-0003-3928-7830
FU Prevention Research Center in Washington University St. Louis (CDC)
   [U48DP006395]
FX Acknowledgments Funding source: This work was supported by the
   Prevention Research Center in Washington University St. Louis (CDC
   #U48DP006395) . The content of the publication is solely the
   responsibility of the authors and does not necessarily represent the
   views of the centers for disease control and prevention. This research
   did not receive any speci fi c grant from funding agencies in the
   public, commercial, or not-for-pro fi t sectors.
CR Abu-Omar K, 2023, J CLIM CHANGE HEALTH, V13, DOI 10.1016/j.joclim.2023.100262
   Albrecht G, 2007, AUSTRALAS PSYCHIATRY, V15, pS95, DOI 10.1080/10398560701701288
   An RP, 2020, CURR OBES REP, V9, P550, DOI 10.1007/s13679-020-00406-w
   An RP, 2019, ENVIRON RES, V176, DOI 10.1016/j.envres.2019.108545
   An RP, 2018, PERSPECT PUBLIC HEAL, V138, P111, DOI 10.1177/1757913917726567
   Aromataris E, 2015, INT J EVID-BASED HEA, V13, P132, DOI 10.1097/XEB.0000000000000055
   Bernard P, 2024, GER J EXERC SPORT RE, V54, P6, DOI 10.1007/s12662-022-00819-w
   Bernard P, 2021, SPORTS MED, V51, P1041, DOI 10.1007/s40279-021-01439-4
   Berry HL, 2010, INT J PUBLIC HEALTH, V55, P123, DOI 10.1007/s00038-009-0112-0
   Bezgrebelna M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115812
   Bjornarå HB, 2017, SCAND J MED SCI SPOR, V27, P366, DOI 10.1111/sms.12669
   Bourque F, 2014, INT REV PSYCHIATR, V26, P415, DOI 10.3109/09540261.2014.925851
   Bourque LB, 2006, ANN AM ACAD POLIT SS, V604, P129, DOI 10.1177/0002716205284920
   Chevance G, 2024, SLEEP MED REV, V75, DOI 10.1016/j.smrv.2024.101915
   Choi Geun Joo, 2023, J Lipid Atheroscler, V12, P3, DOI 10.12997/jla.2023.12.1.3
   Ding D, 2016, LANCET, V388, P1311, DOI 10.1016/S0140-6736(16)30383-X
   Fang WT, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14070797
   Garriga A, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010002
   Glasson B, 2022, COMMUN CRIT-CULT STU, V19, P217, DOI 10.1080/14791420.2022.2095412
   Hess JJ, 2008, AM J PREV MED, V35, P468, DOI 10.1016/j.amepre.2008.08.024
   Hubacek K, 2017, ENERGY ECOL ENVIRON, V2, P361, DOI 10.1007/s40974-017-0072-9
   Jáuregui A, 2022, J PHYS ACT HEALTH, V19, P401, DOI 10.1123/jpah.2022-0258
   Kohl Harold W 3rd, 2012, Lancet, V380, P294, DOI 10.1016/S0140-6736(12)60898-8
   Kotsila P, 2023, LANCET PUBLIC HEALTH, V8, pE11, DOI 10.1016/S2468-2667(22)00320-6
   Lee H, 2023, CURR APPL PHYS, V49, P1, DOI 10.1016/j.cap.2023.02.010
   Lee IM, 2012, LANCET, V380, P219, DOI 10.1016/S0140-6736(12)61031-9
   Lee IM, 2001, MED SCI SPORT EXER, V33, pS459, DOI 10.1097/00005768-200106001-00016
   Liu JW, 2022, LANCET PLANET HEALTH, V6, pE484, DOI 10.1016/S2542-5196(22)00117-6
   Liu W, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.937196
   Nystoriak Matthew A, 2018, Front Cardiovasc Med, V5, P135, DOI 10.3389/fcvm.2018.00135
   Obradovich N, 2018, P NATL ACAD SCI USA, V115, P10953, DOI 10.1073/pnas.1801528115
   Ouzzani M, 2016, SYST REV-LONDON, V5, DOI 10.1186/s13643-016-0384-4
   Page M.J., 2021, BMJ, V372, DOI [10.1136/bmj.n71, DOI 10.1136/BMJ.N71]
   Perry AS, 2023, CIRC RES, V132, P1725, DOI 10.1161/CIRCRESAHA.123.322121
   Quam VGM, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14050468
   Roberts JT, 2001, SOC NATUR RESOUR, V14, P501, DOI 10.1080/08941920152120529
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Rosenthal A, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248617
   Salvo D, 2021, J PHYS ACT HEALTH, V18, P1163, DOI 10.1123/jpah.2021-0413
   Saxena S., 2005, J. Ment. Health, V14, P445, DOI [DOI 10.1080/09638230500270776, 10.1080/09638230500270776]
   Shaw C, 2014, NAT CLIM CHANGE, V4, P427, DOI 10.1038/NCLIMATE2247
   Siefken K, 2023, J PHYS ACT HEALTH, V20, P1081, DOI 10.1123/jpah.2023-0581
   Singh B, 2023, BRIT J SPORT MED, V57, DOI 10.1136/bjsports-2022-106195
   Stura C, 2019, EUR J SPORT SOC, V16, P128, DOI 10.1080/16138171.2019.1625584
   Tainio M, 2016, PREV MED, V87, P233, DOI 10.1016/j.ypmed.2016.02.002
   Vispoel WP, 2022, PSYCHOL ASSESSMENT, V34, P1093, DOI 10.1037/pas0001170
   Warburton DER, 2017, CURR OPIN CARDIOL, V32, P541, DOI 10.1097/HCO.0000000000000437
   Whiting Penny, 2003, BMC Med Res Methodol, V3, P25, DOI 10.1186/1471-2288-3-25
   Wilby RL, 2023, ANN NY ACAD SCI, V1519, P20, DOI 10.1111/nyas.14925
   Wilkins EJ, 2024, PLOS CLIMATE, V3
   Williamson, 2018, YALE PROG CLIM CHANG, V10, P5
   Yang M, 2016, INT J SUSTAIN TRANSP, V10, P517, DOI 10.1080/15568318.2015.1012281
NR 52
TC 2
Z9 2
U1 8
U2 8
PU HUMAN KINETICS PUBL INC
PI CHAMPAIGN
PA 1607 N MARKET ST, PO BOX 5076, CHAMPAIGN, IL 61820-2200 USA
SN 1543-3080
EI 1543-5474
J9 J PHYS ACT HEALTH
JI J. Phys. Act. Health
PD DEC
PY 2024
VL 21
IS 12
SI SI
BP 1263
EP 1275
DI 10.1123/jpah.2024-0284
EA OCT 2024
PG 13
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA Q1Y6Z
UT WOS:001332472100001
PM 38980264
DA 2025-01-10
ER

PT J
AU Sahle, M
   Lahoti, SA
   Lee, SY
   Kamiyama, C
   Tan, XY
   Kozar, R
   Saito, O
   Takeuchi, K
AF Sahle, Mesfin
   Lahoti, Shruti Ashish
   Lee, So-Young
   Kamiyama, Chiho
   Tan, Xiaoyang
   Kozar, Raffaela
   Saito, Osamu
   Takeuchi, Kazuhiko
TI Mapping the evolving research landscape of sustainability science from
   2006 to 2023: unveiling its transformation
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Research landscape; Sustainability research trends; Sustainable future;
   Topics interconnectedness; Non-Negative Matrix Factorization (NMF);
   Sustainability Science journal
ID ACADEMIC LANDSCAPE; DEVELOPMENT GOALS; PARIS AGREEMENT; SOCIAL VALUES;
   FRAMEWORK; BIODIVERSITY; GOVERNANCE; EVOLUTION; THINKING; SYSTEMS
AB Exploring the trends of sustainability science research is vital for advancing our understanding of creating a more sustainable and resilient future for our planet and society. This overview article explores a segment of the sustainability science research landscape from 2006 to 2023 by examining articles published in the Sustainability Science journal. The initial step involved categorizing articles into four distinct periods, each representing a phase in the journal and field's evolution. The changing research topics and their interconnectedness were investigated by involving natural language processing, non-negative matrix factorization topic modeling, and Jaccard similarity analysis in Python. The study reveals shifting emphases over these periods: 2006-2010 focused on human-environment links; 2011-2015 shifted to practical solutions, such as climate adaptation; 2016-2020 focused on the integration of transdisciplinary knowledge, SDGs, and sustainability transitions; and 2021-2023 centered on transformative changes in sustainability. Based on the Sustainability Science journal publications, the field has evolved from foundational principles to current priorities such as transdisciplinary approaches, deep sustainability transformations, bioeconomy, and intergenerational narratives. The evolving landscape responds to environmental, societal, cultural, and technological changes. While the Sustainability Science journal has played an essential role, there remains potential to further concentrate on emerging topics and transformative methodologies. This study offers valuable insights into propelling sustainability science forward to address global challenges and pave the way for a sustainable and equitable future.
C1 [Sahle, Mesfin; Lahoti, Shruti Ashish; Lee, So-Young; Kamiyama, Chiho; Tan, Xiaoyang; Kozar, Raffaela; Saito, Osamu; Takeuchi, Kazuhiko] Inst Global Environm Strategies IGES, Hayama, Kanagawa, Japan.
   [Saito, Osamu; Takeuchi, Kazuhiko] Univ Tokyo, Inst Future Initiat IFI, Tokyo, Japan.
   [Kamiyama, Chiho] Hokkaido Univ, Field Sci Ctr Northern Biosphere, Hakodate, Hokkaido, Japan.
C3 University of Tokyo; Hokkaido University
RP Sahle, M (corresponding author), Inst Global Environm Strategies IGES, Hayama, Kanagawa, Japan.
EM mesitago@gmail.com
RI Saito, Osamu/AAH-6091-2020
OI Sahle, Mesfin/0000-0002-2280-9957
FU JST e-ASIA JRP [JPMJSC20E6]; Japan Science and Technology Agency;
   Integration of Traditional and Modern Bioproduction System for a
   Sustainable and Resilient Future under Climate and Ecosystem Changes
   (ITMoB)
FX This research was carried out with partial financial assistance from the
   "Integration of Traditional and Modern Bioproduction System for a
   Sustainable and Resilient Future under Climate and Ecosystem Changes
   (ITMoB)" project, supported by the JST e-ASIA JRP Grant Number
   JPMJSC20E6. We thank the Japan Science and Technology Agency for funding
   this project.
CR Allen C, 2023, SUSTAIN SCI, V18, P1939, DOI 10.1007/s11625-023-01342-z
   Andersson E, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-020-00008-4
   [Anonymous], 2015, Sustainability Science in a Global Landscape
   Asara V, 2015, SUSTAIN SCI, V10, P375, DOI 10.1007/s11625-015-0321-9
   Awan U, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12031521
   Ballerini L, 2021, SUSTAIN SCI, V16, P1945, DOI 10.1007/s11625-021-01001-1
   Balvanera P, 2017, CURR OPIN ENV SUST, V29, P1, DOI 10.1016/j.cosust.2017.09.005
   Barth M, 2023, CURR OPIN ENV SUST, V64, DOI 10.1016/j.cosust.2023.101361
   Bautista-Puig N, 2021, FRONT SUSTAIN, V2, DOI 10.3389/frsus.2021.620743
   Bengtsson M, 2018, SUSTAIN SCI, V13, P1533, DOI 10.1007/s11625-018-0582-1
   Berbés-Blázquez M, 2022, ECOL SOC, V27, DOI 10.5751/ES-13223-270216
   Bergmann M, 2021, SUSTAIN SCI, V16, P541, DOI 10.1007/s11625-020-00886-8
   Berkes F, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071232
   Bettencourt LMA, 2011, P NATL ACAD SCI USA, V108, P19540, DOI 10.1073/pnas.1102712108
   Beumer C, 2015, SUSTAIN SCI, V10, P87, DOI 10.1007/s11625-014-0270-8
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Biswas T, 2023, CHILD SOC, V37, P1005, DOI 10.1111/chso.12722
   Boucher O, 2016, P NATL ACAD SCI USA, V113, P7287, DOI 10.1073/pnas.1607739113
   Boyer M, 2023, SUSTAIN SCI, V18, P675, DOI 10.1007/s11625-022-01254-4
   Braat LC, 2012, ECOSYST SERV, V1, P1, DOI 10.1016/j.ecoser.2012.07.007
   Brondizio E.S., 2021, CURR OPIN ENV SUST, V49, P66, DOI [10.1016/j.cosust.2021.03.007, DOI 10.1016/j.cosust.2021.03.007]
   Brundiers K, 2021, SUSTAIN SCI, V16, P13, DOI 10.1007/s11625-020-00838-2
   Calcagni F, 2019, SUSTAIN SCI, V14, P1309, DOI 10.1007/s11625-019-00672-1
   Carver R, 2020, SUSTAIN SCI, V15, P131, DOI 10.1007/s11625-019-00754-0
   CBD (Convention on Biodiversity), 2022, C PART CONV BIOL DIV
   Chaerani D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075654
   Chauhan C, 2022, TECHNOL FORECAST SOC, V177, DOI 10.1016/j.techfore.2022.121508
   Chen FF, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.104026
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   Choi KY, 2023, SUSTAIN SCI, V18, P2169, DOI 10.1007/s11625-023-01374-5
   Ciravegna L, 2023, J WORLD BUS, V58, DOI 10.1016/j.jwb.2023.101487
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Clark WC, 2020, ANNU REV ENV RESOUR, V45, P331, DOI 10.1146/annurev-environ-012420-043621
   Colloff MJ, 2019, SUSTAIN SCI, V14, P713, DOI 10.1007/s11625-018-0630-x
   Cottrell S, 2020, SUSTAIN SCI, V15, P555, DOI 10.1007/s11625-019-00736-2
   Danish MSS., 2023, Circular Economy, V2, P100040, DOI DOI 10.1016/J.CEC.2023.100040
   Das RK, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e20281
   Davelaar D, 2021, SUSTAIN SCI, V16, P727, DOI 10.1007/s11625-020-00872-0
   Tàbara JD, 2019, REG ENVIRON CHANGE, V19, P807, DOI 10.1007/s10113-018-1288-8
   Deutsch S, 2023, BIODIVERS CONSERV, DOI 10.1007/s10531-023-02576-0
   Dietz T., 2023, EFB Bioecon. J., V3, DOI [10.1016/J.BIOECO.2023.100058, DOI 10.1016/J.BIOECO.2023.100058]
   Dillman KJ, 2023, ENVIRON SUSTAIN IND, V18, DOI 10.1016/j.indic.2023.100240
   Duflot R, 2021, SUSTAIN SCI, V16, P1397, DOI 10.1007/s11625-021-00940-z
   Egger R, 2022, FRONT SOCIOL, V7, DOI 10.3389/fsoc.2022.886498
   Eriksson M, 2019, SUSTAIN SCI, V14, P1323, DOI 10.1007/s11625-019-00725-5
   Ertor I, 2020, SUSTAIN SCI, V15, P1, DOI 10.1007/s11625-019-00772-y
   Eversberg D, 2023, SUSTAIN SCI, V18, P569, DOI 10.1007/s11625-022-01237-5
   Feucht V, 2023, SUSTAIN SCI, V18, P2391, DOI 10.1007/s11625-023-01371-8
   Fischer AP, 2022, SUSTAIN SCI, V17, P1023, DOI 10.1007/s11625-021-01085-9
   Fordham AE, 2019, SUSTAIN SCI, V14, P1409, DOI 10.1007/s11625-019-00720-w
   Fraisl D, 2023, SUSTAIN SCI, V18, P2629, DOI 10.1007/s11625-023-01402-4
   Ghijselinck D, 2023, J NAT CONSERV, V76, DOI 10.1016/j.jnc.2023.126497
   Gibbons LV, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135483
   Grund J, 2024, SUSTAIN SCI, V19, P275, DOI 10.1007/s11625-023-01439-5
   Guimaraes MH, 2019, FUTURES, V112, DOI 10.1016/j.futures.2019.102441
   Hashimoto S, 2015, SUSTAIN SCI, V10, P257, DOI 10.1007/s11625-014-0285-1
   Hernández-Morcillo M, 2022, SUSTAIN SCI, V17, P2013, DOI 10.1007/s11625-022-01111-4
   Hielscher S, 2022, EXTRACT IND SOC, V10, DOI 10.1016/j.exis.2022.101073
   Himes A, 2018, CURR OPIN ENV SUST, V35, P1, DOI 10.1016/j.cosust.2018.09.005
   Holman D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021301
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Horcea-Milcu AI, 2019, SUSTAIN SCI, V14, P1425, DOI 10.1007/s11625-019-00656-1
   Horn A, 2023, SUSTAIN SCI, V18, P2357, DOI 10.1007/s11625-023-01365-6
   Hynes William, 2020, Environment Systems & Decisions, V40, P174, DOI 10.1007/s10669-020-09776-x
   IPBES, 2019, Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, DOI DOI 10.5281/ZENODO.3553579
   Isacs L, 2023, PEOPLE NAT, V5, P384, DOI 10.1002/pan3.10324
   Johnson JT, 2016, SUSTAIN SCI, V11, P1, DOI 10.1007/s11625-015-0349-x
   Jones SK, 2023, SUSTAIN SCI, V18, P323, DOI 10.1007/s11625-023-01290-8
   Julio N, 2022, SUSTAIN SCI, V17, P1911, DOI 10.1007/s11625-022-01125-y
   Kabasakal I., 2021, Proceedings, V74, P15, DOI DOI 10.3390/PROCEEDINGS2021074015
   Kagaya S, 2021, ASIA-PAC J REG SCI, V5, P643, DOI 10.1007/s41685-020-00185-1
   Kajikawa Y, 2017, SUSTAIN SCI, V12, P869, DOI 10.1007/s11625-017-0477-6
   Kajikawa Y, 2008, SUSTAIN SCI, V3, P215, DOI 10.1007/s11625-008-0053-1
   Kajikawa Y, 2007, SUSTAIN SCI, V2, P221, DOI 10.1007/s11625-007-0027-8
   Kanie N, 2019, SUSTAIN SCI, V14, P1745, DOI 10.1007/s11625-019-00729-1
   Kates RW, 2011, P NATL ACAD SCI USA, V108, P19449, DOI 10.1073/pnas.1116097108
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kauffman CM., 2016, GRASSROOTS GLOBAL GO, DOI [10.1093/acprof:oso/9780190625733.003.0001, DOI 10.1093/ACPROF:OSO/9780190625733.003.0001]
   Keith M, 2023, NAT SUSTAIN, V6, P115, DOI 10.1038/s41893-022-00979-5
   Kelly O, 2023, SUSTAIN SCI, V18, P2707, DOI 10.1007/s11625-023-01407-z
   Keough N, 2020, SUSTAIN SCI, V15, P203, DOI 10.1007/s11625-019-00698-5
   Kim H, 2023, GLOBAL ENVIRON CHANG, V82, DOI 10.1016/j.gloenvcha.2023.102681
   Kimengsi JN, 2022, SUSTAIN SCI, V17, P1091, DOI 10.1007/s11625-021-01079-7
   Kliskey A, 2021, SUSTAIN SCI, V16, P283, DOI 10.1007/s11625-020-00846-2
   Komiyama H, 2006, SUSTAIN SCI, V1, P1, DOI 10.1007/s11625-006-0007-4
   Kronenberg J, 2019, SUSTAIN SCI, V14, P1283, DOI 10.1007/s11625-019-00688-7
   Kuang D., 2015, Partitional Clustering Algorithms, P215
   Laakso S, 2024, SUSTAIN SCI, V19, P739, DOI 10.1007/s11625-023-01434-w
   Laurent A., 2019, PROCEDIA CIRP, V90, P148, DOI [10.1016/j.procir.2020.01.077, DOI 10.1016/J.PROCIR.2020.01.077]
   Leal W, 2020, DISCOV SUSTAIN, V1, DOI 10.1007/s43621-020-00002-x
   Leal W, 2021, SUSTAIN SCI, V16, P85, DOI 10.1007/s11625-020-00866-y
   Lee S.-Y., 2023, Sustainability Sci, V18, P2053
   Lehtonen H, 2023, SUSTAIN SCI, V18, P425, DOI 10.1007/s11625-022-01244-6
   Li RY, 2019, PATTERN RECOGN LETT, V128, P440, DOI 10.1016/j.patrec.2019.10.006
   Locatelli B, 2021, SUSTAIN SCI, V16, P37, DOI 10.1007/s11625-020-00860-4
   Long A, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134678
   Losacker S, 2023, TECHNOL SOC, V74, DOI 10.1016/j.techsoc.2023.102291
   Lubowiecki-Vikuk A, 2021, SUSTAIN PROD CONSUMP, V25, P91, DOI 10.1016/j.spc.2020.08.007
   Lundquist C, 2021, SUSTAIN SCI, V16, P1773, DOI 10.1007/s11625-021-01014-w
   Luthe T, 2015, SUSTAIN SCI, V10, P673, DOI 10.1007/s11625-015-0316-6
   Managi S., 2019, Sustainability Science, V14, P1463, DOI DOI 10.1007/S11625-019-00732-6
   McKinley IG, 2021, SUSTAIN SCI, V16, P1625, DOI 10.1007/s11625-021-00999-8
   McPhearson T, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00017-x
   Mechler R, 2020, SUSTAIN SCI, V15, P1245, DOI 10.1007/s11625-020-00807-9
   Meilland A, 2024, SUSTAIN SCI, V19, P75, DOI 10.1007/s11625-023-01377-2
   Mendizabal M, 2018, RENEW SUST ENERG REV, V94, P410, DOI 10.1016/j.rser.2018.06.003
   Mooney HA, 2013, P NATL ACAD SCI USA, V110, P3665, DOI 10.1073/pnas.1107484110
   Morita K, 2020, SUSTAIN SCI, V15, P179, DOI 10.1007/s11625-019-00739-z
   Mozgai S, 2023, INTELL SYST APPL, V19, DOI 10.1016/j.iswa.2023.200249
   Naito R, 2022, SUSTAIN SCI, V17, P171, DOI 10.1007/s11625-021-01081-z
   Nakagawa Y, 2021, SUSTAIN SCI, V16, P983, DOI 10.1007/s11625-021-00916-z
   Nikolaou IE., 2021, Circular Economy and Sustainability, V1, P783, DOI DOI 10.1007/S43615-021-00030-3
   Obura D, 2023, ONE EARTH, V6, P77, DOI 10.1016/j.oneear.2023.01.013
   Onencan AM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061929
   Onu P, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e20547
   Ortiz-Moya F, 2021, SUSTAIN SCI, V16, P1717, DOI 10.1007/s11625-021-00941-y
   Ortiz-Riomalo JF, 2023, SUSTAIN SCI, V18, P79, DOI 10.1007/s11625-022-01215-x
   Pahl-Wostl C, 2021, SUSTAIN SCI, V16, P615, DOI 10.1007/s11625-020-00888-6
   Peng K, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38987-4
   Pennington D, 2020, SUSTAIN SCI, V15, P647, DOI 10.1007/s11625-019-00735-3
   Peters K, 2021, SUSTAIN SCI, V16, P1173, DOI 10.1007/s11625-021-00944-9
   Pigola A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413669
   Pinho M, 2023, RESOURCES-BASEL, V12, DOI 10.3390/resources12030042
   Plieninger T, 2023, SUSTAIN SCI, V18, P823, DOI 10.1007/s11625-022-01155-6
   Plummer R, 2022, SUSTAIN SCI, V17, P955, DOI 10.1007/s11625-021-01074-y
   Priebe J, 2022, SUSTAIN SCI, V17, P1921, DOI 10.1007/s11625-022-01090-6
   Purvis B, 2019, SUSTAIN SCI, V14, P681, DOI 10.1007/s11625-018-0627-5
   Rai A., 2021, LECT NOTES NETWORKS, DOI [10.1007/978-981-15-6198-618, DOI 10.1007/978-981-15-6198-618]
   Rakhmanov O, 2020, PROCEDIA COMPUT SCI, V178, P194, DOI 10.1016/j.procs.2020.11.021
   Ramcilovic-Suominen S, 2023, SUSTAIN SCI, V18, P707, DOI 10.1007/s11625-022-01091-5
   Rani P., 2016, Int J Data Sci Anal, V1, P123, DOI DOI 10.1007/S41060-016-0010-5
   Renaud FG, 2022, SUSTAIN SCI, V17, P1317, DOI 10.1007/s11625-022-01209-9
   Richardson K, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adh2458
   Rokaya P, 2017, SUSTAIN SCI, V12, P855, DOI 10.1007/s11625-017-0495-4
   Ruwhiu D, 2022, SUSTAIN SCI, V17, P403, DOI 10.1007/s11625-021-01054-2
   Sala OE, 2019, CURR OPIN ENV SUST, V39, P39, DOI 10.1016/j.cosust.2019.06.006
   Sankaran S, 2021, SYST RES BEHAV SCI, V38, P579, DOI 10.1002/sres.2820
   Saraji MK, 2023, ENERGY STRATEG REV, V49, DOI 10.1016/j.esr.2023.101163
   Schagen OM, 2023, SUSTAIN SCI, V18, P1099, DOI 10.1007/s11625-022-01249-1
   Schmieg G, 2018, SUSTAIN SCI, V13, P785, DOI 10.1007/s11625-017-0504-7
   Scholz RW, 2023, SUSTAIN SCI, V18, P1501, DOI 10.1007/s11625-023-01291-7
   Schoolman ED, 2012, SUSTAIN SCI, V7, P67, DOI 10.1007/s11625-011-0139-z
   Schreuder Willemijn., 2022, Clim Action, V1, DOI DOI 10.1007/S44168-022-00024-3
   Shackleton S, 2023, ECOSYST PEOPLE, V19, DOI 10.1080/26395916.2022.2164798
   Shahani F, 2022, AMBIO, V51, P1179, DOI 10.1007/s13280-021-01653-4
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shutaywi M, 2021, ENTROPY-SWITZ, V23, DOI 10.3390/e23060759
   Sianes A, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0265409
   Siciliano G, 2021, SUSTAIN DEV, V29, P1049, DOI 10.1002/sd.2193
   Herran DS, 2021, SUSTAIN SCI, V16, P489, DOI 10.1007/s11625-021-00930-1
   Singer-Brodowski M, 2023, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-022-02444-x
   Smith MS, 2018, SUSTAIN SCI, V13, P1483, DOI 10.1007/s11625-018-0645-3
   Sneddon J, 2022, SUSTAIN SCI, V17, P2155, DOI 10.1007/s11625-022-01151-w
   Stahel WR, 2016, NATURE, V531, P435, DOI 10.1038/531435a
   Stepanova O, 2020, SUSTAIN SCI, V15, P263, DOI 10.1007/s11625-019-00690-z
   Sun SB, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183570
   Takeuchi K, 2017, SUSTAIN SCI, V12, P849, DOI 10.1007/s11625-017-0484-7
   Temper L, 2018, SUSTAIN SCI, V13, P573, DOI 10.1007/s11625-018-0563-4
   Trail GT, 2021, SUSTAIN SCI, V16, P1503, DOI 10.1007/s11625-021-00954-7
   UN, 2022, The environmental impact of the conflict in Ukraine: a preliminary review
   UNFCC (United Nations Framework Convention on Climate Change), 2015, AD PAR AGREEM C PART
   United Nations, 2015, TRANSF OUR WORLD 203
   van Breda J, 2019, SUSTAIN SCI, V14, P823, DOI 10.1007/s11625-018-0606-x
   Vandepitte E, 2023, SUSTAIN SCI, V18, P1595, DOI 10.1007/s11625-022-01277-x
   Velenturf APM, 2021, SUSTAIN PROD CONSUMP, V27, P1437, DOI 10.1016/j.spc.2021.02.018
   Vilá B, 2022, SUSTAIN SCI, V17, P707, DOI 10.1007/s11625-020-00874-y
   Visseren-Hamakers IJ, 2021, CURR OPIN ENV SUST, V53, P20, DOI 10.1016/j.cosust.2021.06.002
   Vogler A, 2024, SUSTAIN SCI, V19, P701, DOI 10.1007/s11625-023-01433-x
   von Wehrden H, 2019, SUSTAIN SCI, V14, P875, DOI 10.1007/s11625-018-0594-x
   Wehn U, 2021, SUSTAIN SCI, V16, P1683, DOI 10.1007/s11625-021-00959-2
   Wiegleb V, 2023, SUSTAIN SCI, V18, P1069, DOI 10.1007/s11625-022-01238-4
   Wong-Parodi G, 2015, CLIM RISK MANAG, V10, P1, DOI 10.1016/j.crm.2015.07.002
   Xu L, 2015, SUSTAIN SCI, V10, P123, DOI 10.1007/s11625-014-0274-4
   Xu L, 2013, SCIENTOMETRICS, V96, P911, DOI 10.1007/s11192-013-0957-0
   Yuan HX, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00846-x
   Zvobgo L, 2022, SUSTAIN SCI, V17, P2077, DOI 10.1007/s11625-022-01118-x
NR 176
TC 0
Z9 0
U1 9
U2 9
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 SEP
PY 2024
VL 19
IS 5
BP 1735
EP 1750
DI 10.1007/s11625-024-01529-y
EA JUL 2024
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA E4H1Q
UT WOS:001268690900002
DA 2025-01-10
ER

PT J
AU Fransen, S
   Werntges, A
   Hunns, A
   Sirenko, M
   Comes, T
AF Fransen, Sonja
   Werntges, Anja
   Hunns, Alexander
   Sirenko, Mikhail
   Comes, Tina
TI Refugee settlements are highly exposed to extreme weather conditions
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE refugee settlements; extreme weather conditions; exposure;
   signal-to-noise analysis'
ID ROHINGYA REFUGEES; CAMP
AB Involuntary displacement from conflict and other causes leads to clustering of refugees and internally displaced people, often in long-term settlements. Within refugee-hosting countries, refugee settlements are frequently located in isolated and remote areas, characterized by poor-quality land and harsh climatic conditions. Yet, the exposure of refugee settlements to climatic events is underresearched. In this article, we study the exposure of the 20 largest refugee settlements worldwide to extreme variations in climatic conditions. The analysis integrates exposure of camp locations compared to the national trends for both slow- and rapid-onset events and includes descriptive statistics, signalto-noise analyses, and trend analyses. Our findings show that most refugee settlements included face relatively high exposure to slow-onset events, including high temperatures (for settlements in Kenya, Ethiopia, Rwanda, Sudan, and Uganda), low temperatures (in the case of Jordan and Pakistan), and low levels of rainfall (in Ethiopia, Rwanda, Kenya, and Uganda) compared to national averages. Our findings for rapid-onset events-heatwaves, coldwaves, and extreme rainfall-are less conclusive compared to country trends, although we find relatively high exposure to extreme rainfall in Cox's Bazar, Bangladesh. Our analyses confirm that refugee populations are exposed to extreme weather conditions postdisplacement, which, in combination with their sociopolitical exclusion, poses a threat to well-being and increased marginalization. Our findings call for an inclusive and integrated approach, including refugees and their host communities, in designing climate adaptation and sustainable development policies, in order to promote equitable sustainable development pathways in refugee-hosting countries.
C1 [Fransen, Sonja; Werntges, Anja; Hunns, Alexander] Maastricht Univ, United Nations Univ Maastricht Econ & Social Res I, NL-6211 LK Maastricht, Netherlands.
   [Sirenko, Mikhail; Comes, Tina] Univ Technol, Fac Technol Policy & Management, NL-2628 CB Delft, Netherlands.
   [Comes, Tina] Maastricht Univ, Sch Business & Econ, NL-6211 LK Maastricht, Netherlands.
C3 Maastricht University; Delft University of Technology; Eindhoven
   University of Technology; Maastricht University
RP Fransen, S (corresponding author), Maastricht Univ, United Nations Univ Maastricht Econ & Social Res I, NL-6211 LK Maastricht, Netherlands.
EM Sonja.fransen@maastrichtuniversity.nl
RI Comes, Tina/AAM-2361-2020; Comes, Tina/G-2076-2016
OI Sirenko, Mikhail/0000-0003-4019-7816; Hunns,
   Alexander/0000-0001-5989-3446; Comes, Tina/0000-0002-8721-8314; Fransen,
   Sonja/0000-0002-7709-4418
CR Ahmed B, 2020, GEOMAT NAT HAZ RISK, V11, P446, DOI 10.1080/19475705.2020.1730988
   Ahmed B, 2018, LANCET GLOB HEALTH, V6, pE487, DOI 10.1016/S2214-109X(18)30125-6
   Akhter M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187325
   Albadra D, 2018, J ARCHITECTURE, V23, P115, DOI 10.1080/13602365.2018.1424227
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Brankamp H, 2022, ANTIPODE, V54, P106, DOI 10.1111/anti.12762
   Bwire G, 2021, AM J TROP MED HYG, V104, P1225, DOI 10.4269/ajtmh.20-0741
   Clark W., 2019, Sustainability Science Program Working Papers
   Fransen S, 2022, POPUL DEV REV, V48, P97, DOI 10.1111/padr.12456
   Golicha Q, 2018, MMWR-MORBID MORTAL W, V67, P958, DOI 10.15585/mmwr.mm6734a4
   Hunter LM, 2021, POPUL ENVIRON, V43, P61, DOI 10.1007/s11111-021-00377-7
   IPCC Working Group II, 2022, IPCC Sixth Assessment Report
   Jacobsen K., 1997, Journal of Refugee Studies, V10, P19, DOI 10.1093/jrs/10.1.19
   Jamal-Uddin SA, 2017, i-Annual Res J "BALOCHISTAN Rev, V37, P325
   Kibreab G, 1997, DISASTERS, V21, P20, DOI 10.1111/1467-7717.00042
   Kibreab G., 1989, Journal of Refugee Studies, V2, P468, DOI 10.1093/jrs/2.4.468
   Mukul SA, 2019, SCIENCE, V364, P138, DOI 10.1126/science.aaw9474
   Pascucci E, 2021, WORLD DEV, V142, DOI 10.1016/j.worlddev.2021.105424
   Quader MA, 2021, ENVIRON DEV SUSTAIN, V23, P4634, DOI 10.1007/s10668-020-00792-0
   Sabates-Wheeler R, 2019, COMP MIGR STUD, V7, DOI 10.1186/s40878-019-0142-6
   Tafere M, 2018, J ENVIRON MANAGE, V224, P191, DOI 10.1016/j.jenvman.2018.07.063
   UN-HABITAT, 2021, Dadaab Spatial Profile
   UN-Habitat, 2021, Kakuma & Kalobeyei Spatial Profile
   United Nations High Commissioner for Refugees, 2020, Global trends Report: Forced displacement in 2019
   United Nations High Commissioner for Refugees, 2021, Global Trends Report: Forced Displacement in 2021
   United Nations High Commissioner for Refugees, 2015, UNHCR, displacement and disaster reduction
   van der Wiel K, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-020-00077-4
   Wardeh M, 2021, J REFUG STUD, V34, P2740, DOI 10.1093/jrs/feaa141
   Wardeh M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147686
   Werker E, 2007, J REFUG STUD, V20, P461, DOI 10.1093/jrs/fem001
   Zaman S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101694
   Zetter R., 2018, Forced Migration Review, V58, P4
NR 32
TC 9
Z9 9
U1 9
U2 14
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD JAN 16
PY 2024
VL 121
IS 3
AR e2206189120
DI 10.1073/pnas.2206189120
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HY9V8
UT WOS:001163199600009
PM 37276435
OA Green Published, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Chetri, P
   Sharma, U
   Ilavarasan, PV
AF Chetri, Priya
   Sharma, Upasna
   Ilavarasan, P. Vigneswara
TI Weather information, farm-level climate adaptation and farmers' adaptive
   capacity: Examining the role of information and communication
   technologies
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Farmer; Adaptive capacity; Farm-level adaptation; Information; ICTs;
   Social ecosystem pertaining to use of ICTs
ID ANIMATED VIDEOS; DROUGHT-PRONE; ADOPTION; DETERMINANTS; VARIABILITY;
   STRATEGIES; AGRICULTURE; BANGLADESH; HOUSEHOLDS; DECISIONS
AB Previous studies on farmers' capacity to adapt to weather and climate variability tend to follow the resource endowment perspective and ignore the role of information. The paper examines farmers' access to weather information as a resource and its relationship to the uptake of farm-level adaptation strategies while controlling other related variables. It also looks at information and communication technologies (ICTs) to provide information to farmers. Four dimensions of ICTs are considered - physical access to ICT devices, farmer's ability to use ICTs, farmer's intent to use ICTs for productive purposes, and farmer's presence in the social ecosystem pertaining to use of ICTs. Structural equation modelling analysis of 463 farmers highlighted the potential of information in facilitating the uptake of farm-level adaptation strategies. The information-adaptation link becomes even stronger with the moderation effect of the farmer's social ecosystem pertaining to use of ICTs. Farmers' abilities to use ICTs are vital in improving their access to weather information. Farmers' intent to use ICTs for productive purposes positively correlates with their stronger presence in the social ecosystem pertaining to use of ICTs. While wealth is an essential determinant of farmers' access to other resources, it is not directly associated with the uptake of farm-level adaptation strategies. The paper highlights ways to enhance farmers' adaptive capacity through non-economic means and facilitate farm-level adaptation.
C1 [Chetri, Priya; Sharma, Upasna] Indian Inst Technol IIT Delhi, Sch Publ Policy, New Delhi 110016, India.
   [Ilavarasan, P. Vigneswara] Indian Inst Technol IIT Delhi, Dept Management Studies, New Delhi 110016, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Delhi; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Delhi
RP Chetri, P (corresponding author), Indian Inst Technol IIT Delhi, Sch Publ Policy, New Delhi 110016, India.
EM chetripriya94@gmail.com
RI Ilavarasan, P./AAZ-2573-2020
OI Chetri, Priya/0000-0002-3894-0474
FU South Asian Network for Development and Environmental Economics
   (SANDEE); ETH Zurich; ETH Career Seed Grant [SEED-19 16-2]; DST-Centre
   for Policy Research (DST-CPR); IIT Delhi
FX This paper is based on the data collected for a project funded by four
   sources. The PI was Dr. Upasna Sharma for the grants received from the
   South Asian Network for Development and Environmental Economics (SANDEE)
   , ETH Zurich (ETH Zurich project titled, Impacts of agrimet advisories
   distributed by SMS among farmers in the State of Haryana, India, Funded
   by the ETH Career Seed Grant SEED-19 16-2) , and DST-Centre for Policy
   Research (DST-CPR) . Dr. P. Vigneswara Ilavarasan was the PI and Dr.
   Upasna Sharma was the Co-PI for the Faculty Interdisciplinary Research
   Project (FIRP) grant provided by IIT Delhi.
CR Aase TH, 2013, MT RES DEV, V33, P4, DOI 10.1659/MRD-JOURNAL-D-12-00025.1
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali J, 2011, INT J INFORM MANAGE, V31, P149, DOI 10.1016/j.ijinfomgt.2010.07.008
   Ali Muhammad, 2020, Journal of International Agricultural and Extension Education, V27, P108, DOI 10.5191/jiaee.2020.272108
   Ali MF, 2021, ENVIRON SCI POLLUT R, V28, P14844, DOI 10.1007/s11356-020-11472-x
   Ali U, 2020, PAK J AGR SCI, V57, P941
   Anabel Nancy J., 2018, CSI Transactions on ICT, V6, P231, DOI 10.1007/s40012-018-0207-y
   Anik AR, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102562
   [Anonymous], 2009, Mapping South African Farming Sector Vulnerability to climate change and variability: A subnational assessment
   Antwi-Agyei P, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100304
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Bahinipati C.S., 2022, Climate Change and Community Resilience, Insights from South Asia, P49, DOI [10.1007/978-981-16-0680-9_4, DOI 10.1007/978-981-16-0680-9_4]
   Bahinipati CS, 2015, INT J DISAST RISK RE, V14, P347, DOI 10.1016/j.ijdrr.2015.08.010
   Balaji V., 2011, Using information and communication technologies to disseminate and exchange agriculture-related climate information in the Indo Gangetic Plains, P22
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bello-Bravo J, 2019, INFORM TECHNOL DEV, V25, P579, DOI 10.1080/02681102.2018.1485004
   Bello-Bravo J, 2018, INFORM TECHNOL DEV, V24, P224, DOI 10.1080/02681102.2017.1298077
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bibhunandini Das Bibhunandini Das, 2014, Agricultural Economics Research Review, V27, P199
   Billah M. M., 2015, Journal of Agricultural Extension and Rural Development, V7, P33
   Birthal PS, 2015, AGR ECON-BLACKWELL, V46, P549, DOI 10.1111/agec.12181
   Botev J., 2019, OECD EC DEP WORKING, DOI [10.1787/d12d7305-en, DOI 10.1787/D12D7305-EN]
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Brooks N., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures, P18
   Brooks N., 2003, Tyndall Centre for Climate Change Research, DOI DOI 10.1086/379713
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Camacho A, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.020
   Casaburi L., 2014, HARNESSING ICT INCRE
   Cecchini S., 2003, Information Technology for Development, V10, P73, DOI 10.1002/itdj.1590100203
   Chen MJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196392
   Chepkoech W, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100204
   Choden K, 2020, ECOL INDIC, V114, DOI 10.1016/j.ecolind.2020.106293
   Cohen PJ, 2016, AMBIO, V45, pS309, DOI 10.1007/s13280-016-0831-4
   Cole S.A., 2016, Harv. Bus. Sch., P55
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   DAFW, 2023, about us
   Datta P., 2022, Environmental Challenges, V8, P100543, DOI [DOI 10.1016/J.ENVC.2022.100543, 10.1016/j.envc.2022.100543]
   Defiesta G, 2014, J ENVIRON SCI MANAG, V17, P48
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DFID, 1999, Sustainable livelihood guidance sheets
   Dilleen G, 2023, J BUS IND MARK, V38, P1754, DOI 10.1108/JBIM-01-2022-0060
   Dillow RK, 2008, Encyclopedia of Global Warming and Climate Change, DOI DOI 10.4135/9781412963893.N343
   Eakin H, 2015, CLIM DEV, V7, P208, DOI 10.1080/17565529.2014.951021
   Eakin H, 2011, ENVIRON MANAGE, V47, P352, DOI 10.1007/s00267-010-9603-2
   Egyir I.S., 2015, J SUSTAIN DEV, V8
   Eise J, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03206-w
   Eise J, 2021, J APPL COMMUN RES, V49, P651, DOI 10.1080/00909882.2021.1970792
   Ensor J., 2009, Waterlines, V28, P219, DOI 10.3362/1756-3488.2009.024
   Evangelista RJP, 2016, J ENVIRON SCI MANAG, P42
   Fafchamps M, 2012, WORLD BANK ECON REV, V26, P383, DOI 10.1093/wber/lhr056
   FAO, 2019, HDB CLIM INF FARM CO
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frank J., 2012, Small-scale farmers and climate change: How can farmer organisations and Fairtrade build the adaptive capacity of smallholders?
   Gichuki CN, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10020050
   Glendenning C.J., 2012, The relevance of content in ICT initiatives in Indian, P40
   Hair J.F., 2021, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, DOI [10.1007/978-3-030-80519-7, DOI 10.1007/978-3-030-80519-7]
   Han MY, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12091368
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Howden S.M., 2007, Adapt. Agric. Clim. Change, V104, P6
   Islam MS, 2011, INFORM TECHNOL DEV, V17, P95, DOI 10.1080/02681102.2010.526093
   Jones L., 2010, Anal. Adapt. Capacit. Local Lev, V8
   Kante M, 2017, ELECTR J INF SYS DEV, V83, DOI 10.1002/j.1681-4835.2017.tb00617.x
   Khanal U, 2019, ENVIRON SCI POLICY, V101, P156, DOI 10.1016/j.envsci.2019.08.006
   Lim K, 2021, WORLD DEV, V139, DOI 10.1016/j.worlddev.2020.105230
   Lokeswari K., 2016, International Journal of Communication Research, V6, P232
   Mahfoud C, 2021, CLIM RISK MANAG, V33, DOI 10.1016/j.crm.2021.100345
   Maiti S, 2017, ECOL INDIC, V77, P105, DOI 10.1016/j.ecolind.2017.02.006
   Maredia MK, 2018, INFORM TECHNOL DEV, V24, P429, DOI 10.1080/02681102.2017.1312245
   Masinde Muthoni, 2012, P 5 INT C INF COMM T, P122, DOI 10.1145/2160673.2160690
   Mesfin D, 2020, CLIMATE, V8, DOI 10.3390/cli8100106
   Michels M, 2020, PRECIS AGRIC, V21, P1209, DOI 10.1007/s11119-020-09715-5
   Mittal S, 2016, J AGRIC EDUC EXT, V22, P199, DOI 10.1080/1389224X.2014.997255
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Munyua H., 2009, Emerging ICTs and Their Potential in Revitalizing Small-Scale Agriculture in Africa, P7
   Mwinjaka O, 2010, CLIM DEV, V2, P346, DOI 10.3763/cdev.2010.0058
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nesheim I, 2017, AGRICULTURE-BASEL, V7, DOI 10.3390/agriculture7080070
   Nidumolu U, 2021, CLIM DEV, V13, P189, DOI 10.1080/17565529.2020.1746230
   Ogunleye A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08624
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Owusu V, 2021, CLIM DEV, V13, P616, DOI 10.1080/17565529.2020.1844612
   Pierpaoli E, 2013, PROC TECH, V8, P61, DOI 10.1016/j.protcy.2013.11.010
   Piya L., 2012, J. Int. Dev. Coop, V18, P22
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Aryal JP, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89391-1
   Puri S. K., 2007, Information Technology for Development, V13, P133, DOI 10.1002/itdj.20058
   Quiroga S, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104733
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Ringler C., 2008, IFPRI Discussion Paper
   Sharma U, 2009, CLIMATIC CHANGE, V94, P189, DOI [10.1007/s10584-009-9552-z, 10.1007/s10584-009-9552-Z]
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Thapa D, 2012, INFORM TECHNOL DEV, V18, P5, DOI 10.1080/02681102.2011.643205
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Toyama K., 2011, P 2011 C SEATTL WA U, P75, DOI [DOI 10.1145/1940761.1940772, 10.1145/1940761.1940772]
   Toyama K., 2010, BOSTON REV FORUM
   TRAI, 2022, Press Release No. 53/2022
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Ullah A, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10120586
   Unwin T, 2017, Reclaiming Information and Communication Technologies for Development, V1, DOI [10.1093/oso/9780198795292.001.0001, DOI 10.1093/OSO/9780198795292.001.0001]
   Venkatesh V, 2013, INFORM SYST RES, V24, P239, DOI 10.1287/isre.1110.0409
   Vincent K, 2013, CLIM DEV, V5, P194, DOI 10.1080/17565529.2013.821052
   Voss RC, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105620
   Wang GL, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235927
   Williams PA, 2019, CLIM RISK MANAG, V23, P124, DOI 10.1016/j.crm.2018.12.004
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Wyche S, 2016, INFORM TECHNOL DEV, V22, P320, DOI 10.1080/02681102.2015.1048184
   Yang S, 2009, COMMUN ASSOC INF SYS, V25, P183
NR 109
TC 5
Z9 5
U1 6
U2 13
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD JAN
PY 2024
VL 151
AR 103630
DI 10.1016/j.envsci.2023.103630
EA NOV 2023
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Z4NK7
UT WOS:001111859000001
DA 2025-01-10
ER

PT J
AU Deng, ZX
   Zhang, XP
   Wolinska, J
   Blair, D
   Hu, W
   Yin, MB
AF Deng, Zhixiong
   Zhang, Xiuping
   Wolinska, Justyna
   Blair, David
   Hu, Wei
   Yin, Mingbo
TI Climate has contributed to population diversification of <i>Daphnia
   galeata</i> across Eurasia
SO MOLECULAR ECOLOGY
LA English
DT Article
DE climate adaptations; Daphnia galeata; ecological-niche model; Eurasia;
   population genomics
ID EXTENDED LIFE-SPAN; GENETIC DIFFERENTIATION; RAPID EVOLUTION; CHINESE
   LAKES; BODY-SIZE; GENOME; PATTERNS; DIVERSITY; CRUSTACEA; STRESS
AB Climate is a fundamental abiotic factor that plays a key role in driving the evolution, distribution and population diversification of species. However, there have been few investigations of genomic signatures of adaptation to local climatic conditions in cladocerans. Here, we have provided the first high-quality chromosome-level genome assembly (similar to 143 Mb, scaffold N50 12.6 Mb) of the waterflea, Daphnia galeata, and investigated genomic variation in 22 populations from Central Europe and Eastern China. Our ecological-niche models suggested that the historic distribution of D. galeata in Eurasia was significantly affected by Quaternary climate fluctuations. We detected pronounced genomic and morphometric divergences between European and Chinese D. galeata populations. Such divergences could be partly explained by genomic signatures of thermal adaptation to distinct climate regimes: a set of candidate single-nucleotide polymorphisms (SNPs) potentially associated with climate were detected. These SNPs were in genes significantly enriched in the Gene ontology terms "determination of adult lifespan" and "translation repressor activity", and especially, mthl5 and SOD1 involved in the IIS pathway, and EIF4EBP2 involved in the target of the rapamycin signalling pathway. Our study indicates that certain alleles might be associated with particular temperature regimes, playing a functional role in shaping the population structure of D. galeata at a large geographical scale. These results highlight the potential role of molecular variation in the response to climate variation, in the context of global climate change.
C1 [Deng, Zhixiong; Zhang, Xiuping; Hu, Wei; Yin, Mingbo] Fudan Univ, Sch Life Sci, MOE Key Lab Biodivers Sci & Ecol Engn, Shanghai, Peoples R China.
   [Wolinska, Justyna] Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Evolutionary & Integrat Ecol, Berlin, Germany.
   [Wolinska, Justyna] Free Univ Berlin, Inst Biol, Dept Biol Chem Pharm, Berlin, Germany.
   [Blair, David] James Cook Univ, Coll Marine & Environm Sci, Townsville, Qld, Australia.
   [Yin, Mingbo] Fudan Univ, Sch Life Sci, MOE Key Lab Biodivers Sci & Ecol Engn, Songhu Rd 2005, Shanghai, Peoples R China.
C3 Fudan University; Leibniz Association; Leibniz Institut fur
   Gewasserokologie und Binnenfischerei (IGB); Free University of Berlin;
   James Cook University; Fudan University
RP Yin, MB (corresponding author), Fudan Univ, Sch Life Sci, MOE Key Lab Biodivers Sci & Ecol Engn, Songhu Rd 2005, Shanghai, Peoples R China.
EM yinm@fudan.edu.cn
RI 张, 修平/HSK-0554-2023; Yin, Mingbo/E-3677-2017
OI Yin, Mingbo/0000-0002-0742-5031; Deng, Zhixiong/0000-0002-9221-9231
FU National Natural Science Foundation of China [32271690]
FX National Natural Science Foundation of China, Grant/Award Number:
   32271690
CR Adamczuk M, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.137963
   Allio R, 2020, MOL ECOL RESOUR, V20, P892, DOI 10.1111/1755-0998.13160
   [Anonymous], 2006, R News
   [Anonymous], 2015, RepeatModeler Open-1.0
   Aramburu J, 2014, SCI SIGNAL, V7, DOI 10.1126/scisignal.2005326
   Arnaud-Haond S, 2007, MOL ECOL, V16, P5115, DOI 10.1111/j.1365-294X.2007.03535.x
   Balloux F, 2003, GENETICS, V164, P1635
   Barrett RDH, 2011, P ROY SOC B-BIOL SCI, V278, P233, DOI 10.1098/rspb.2010.0923
   Belyaeva M, 2009, MOL PHYLOGENET EVOL, V50, P534, DOI 10.1016/j.ympev.2008.11.007
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bennett KD, 2008, QUATERNARY SCI REV, V27, P2449, DOI 10.1016/j.quascirev.2008.08.019
   Benzie J.A.H., 2005, CLADOCERA GENUS DAPH
   Bernatchez L, 1998, MOL ECOL, V7, P431, DOI 10.1046/j.1365-294x.1998.00319.x
   Boersma M, 1999, LIMNOL OCEANOGR, V44, P393, DOI 10.4319/lo.1999.44.2.0393
   Bouckaert R, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003537
   Bradburd GS, 2018, GENETICS, V210, P33, DOI 10.1534/genetics.118.301333
   Brauer CJ, 2018, MOL ECOL, V27, P3484, DOI 10.1111/mec.14808
   Caldwell PE, 2005, CURR BIOL, V15, P1785, DOI 10.1016/j.cub.2005.09.011
   Calsbeek R, 2003, MOL ECOL, V12, P1021, DOI 10.1046/j.1365-294X.2003.01794.x
   Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
   Campbell Michael S, 2014, Curr Protoc Bioinformatics, V48, DOI 10.1002/0471250953.bi0411s48
   Campbell-Staton SC, 2017, SCIENCE, V357, P495, DOI 10.1126/science.aam5512
   Carreira VP, 2009, HEREDITY, V102, P246, DOI 10.1038/hdy.2008.117
   Cavender-Bares J, 2019, NEW PHYTOL, V221, P669, DOI 10.1111/nph.15450
   Clark RD, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.0407
   Clarke B, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7d
   Cock PJA, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0080-7
   Comte L, 2013, ECOGRAPHY, V36, P1236, DOI 10.1111/j.1600-0587.2013.00282.x
   Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
   D'Horta FM, 2011, MOL ECOL, V20, P1923, DOI 10.1111/j.1365-294X.2011.05063.x
   Daufresne M, 2009, P NATL ACAD SCI USA, V106, P12788, DOI 10.1073/pnas.0902080106
   De Gelas K, 2005, MOL ECOL, V14, P753, DOI 10.1111/j.1365-294X.2004.02434.x
   De Meester L, 2002, ACTA OECOL, V23, P121, DOI 10.1016/S1146-609X(02)01145-1
   de Mendoza A, 2016, SCI REP-UK, V6, DOI 10.1038/srep21801
   de Villemereuil P, 2015, METHODS ECOL EVOL, V6, P1248, DOI 10.1111/2041-210X.12418
   DeMeester L, 1996, ECOSCIENCE, V3, P385, DOI 10.1080/11956860.1996.11682356
   Dudchenko O, 2017, SCIENCE, V356, P92, DOI 10.1126/science.aal3327
   Durand NC, 2016, CELL SYST, V3, P99, DOI 10.1016/j.cels.2015.07.012
   Durand NC, 2016, CELL SYST, V3, P95, DOI 10.1016/j.cels.2016.07.002
   Edgar BA, 2006, NAT REV GENET, V7, P907, DOI 10.1038/nrg1989
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Figuerola J, 2005, AM NAT, V165, P274, DOI 10.1086/427092
   Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
   Fitak RR, 2021, BIOL METHODS PROTOC, V6, DOI 10.1093/biomethods/bpab017
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Fryxell DC, 2020, P ROY SOC B-BIOL SCI, V287, DOI 10.1098/rspb.2020.0608
   Galbreath KE, 2009, EVOLUTION, V63, P2848, DOI 10.1111/j.1558-5646.2009.00803.x
   Gao XF, 2019, ECOL EVOL, V9, P12544, DOI 10.1002/ece3.5718
   Geerts AN, 2015, NAT CLIM CHANGE, V5, P665, DOI 10.1038/NCLIMATE2628
   Gibson MJS, 2020, MOL ECOL, V29, P2204, DOI 10.1111/mec.15477
   Gillespie RG, 2014, NATURE, V509, P297, DOI 10.1038/509297a
   Gimenez LED, 2013, AGING CELL, V12, P121, DOI 10.1111/acel.12027
   Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
   Gottscho AD, 2016, BIOL REV, V91, P235, DOI 10.1111/brv.12167
   Gribble KE, 2018, EXP GERONTOL, V114, P99, DOI 10.1016/j.exger.2018.10.023
   Guarente L, 2000, NATURE, V408, P255, DOI 10.1038/35041700
   Hamrová E, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-231
   Harrison SP, 2001, NATURE, V413, P129, DOI 10.1038/35093166
   HEBERT PDN, 1978, BIOL REV, V53, P387, DOI 10.1111/j.1469-185X.1978.tb00860.x
   Herrmann M, 2018, MOL ECOL, V27, P387, DOI 10.1111/mec.14450
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hewitt GM, 1999, BIOL J LINN SOC, V68, P87, DOI 10.1111/j.1095-8312.1999.tb01160.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Horne CR, 2015, ECOL LETT, V18, P327, DOI 10.1111/ele.12413
   Ishida S, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-52
   Ishida S, 2007, MOL ECOL, V16, P569, DOI 10.1111/j.1365-294X.2006.03160.x
   Ishida S, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-209
   Jiang XL, 2018, HEREDITY, V120, P219, DOI 10.1038/s41437-017-0012-7
   Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
   Kalyaanamoorthy S, 2017, NAT METHODS, V14, P587, DOI [10.1038/NMETH.4285, 10.1038/nmeth.4285]
   Kapun M, 2020, MOL BIOL EVOL, V37, P2661, DOI 10.1093/molbev/msaa120
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Knouft JH, 2017, ANNU REV ECOL EVOL S, V48, P111, DOI 10.1146/annurev-ecolsys-110316-022803
   Kofler R, 2012, BIOINFORMATICS, V28, P2084, DOI 10.1093/bioinformatics/bts315
   Koren S, 2017, GENOME RES, V27, P722, DOI 10.1101/gr.215087.116
   Laetsch D., 2017, F1000Research, DOI DOI 10.12688/F1000RESEARCH.12232.1
   Lampert W, 2006, POL J ECOL, V54, P607
   Lancaster LT, 2022, J ANIM ECOL, V91, P1056, DOI 10.1111/1365-2656.13711
   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]
   Lichstein JW, 2007, PLANT ECOL, V188, P117, DOI 10.1007/s11258-006-9126-3
   Lin YJ, 1998, SCIENCE, V282, P943, DOI 10.1126/science.282.5390.943
   LITHGOW GJ, 1995, P NATL ACAD SCI USA, V92, P7540, DOI 10.1073/pnas.92.16.7540
   Lynch M, 2017, GENETICS, V206, P315, DOI 10.1534/genetics.116.190611
   Ma WH, 2019, ECOTOX ENVIRON SAFE, V184, DOI 10.1016/j.ecoenv.2019.109599
   Ma XL, 2020, CONTRIB ZOOL, V89, P450, DOI 10.1163/18759866-bja10011
   Ma XL, 2019, LIMNOL OCEANOGR, V64, P2725, DOI 10.1002/lno.11335
   Ma XL, 2019, MOL ECOL, V28, P785, DOI 10.1111/mec.14991
   Ma XL, 2015, J PLANKTON RES, V37, P56, DOI 10.1093/plankt/fbu091
   MacArthur JW, 1929, J EXP ZOOL, V53, P221, DOI 10.1002/jez.1400530205
   Manel S, 2013, TRENDS ECOL EVOL, V28, P614, DOI 10.1016/j.tree.2013.05.012
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McGarvey DJ, 2018, ECOGRAPHY, V41, P695, DOI 10.1111/ecog.03134
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Millette KL, 2011, LIMNOL OCEANOGR, V56, P1725, DOI 10.4319/lo.2011.56.5.1725
   Mills S, 2017, HYDROBIOLOGIA, V796, P39, DOI 10.1007/s10750-016-2725-7
   Miñano MR, 2022, HEREDITY, V128, P271, DOI 10.1038/s41437-022-00518-0
   Myers EA, 2020, MOL ECOL, V29, P797, DOI 10.1111/mec.15358
   Ni YJ, 2019, MOL PHYLOGENET EVOL, V134, P87, DOI 10.1016/j.ympev.2019.02.007
   Nickel J, 2021, GENOME BIOL EVOL, V13, DOI 10.1093/gbe/evab267
   Ono K, 2000, CELL SIGNAL, V12, P1, DOI 10.1016/S0898-6568(99)00071-6
   Orsini L, 2013, MOL ECOL, V22, P5983, DOI 10.1111/mec.12561
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pavlidis P, 2012, MOL BIOL EVOL, V29, P3237, DOI 10.1093/molbev/mss136
   Pearman PB, 2008, TRENDS ECOL EVOL, V23, P149, DOI 10.1016/j.tree.2007.11.005
   Peijnenburg KTCA, 2013, ECOL EVOL, V3, P2765, DOI 10.1002/ece3.644
   Penton EH, 2004, MOL ECOL, V13, P97, DOI 10.1046/j.1365-294X.2003.02024.x
   Peterson A. T., 2011, Ecological Niches and Geographic Distributions
   Pfenninger M, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0265632
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pickrell JK, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002967
   Pinceel T, 2018, BMC ECOL, V18, DOI 10.1186/s12898-018-0158-z
   Porretta D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044515
   Rambaut A., 2007, FIGTREE GRAPHICAL VI
   Roach MJ, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2485-7
   Sandoval-Castillo J, 2020, P NATL ACAD SCI USA, V117, P17112, DOI 10.1073/pnas.1921124117
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schlötterer C, 2014, NAT REV GENET, V15, P749, DOI 10.1038/nrg3803
   Schmidt-Nielsen K, 1984, Scaling: Why is animal size so important?
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Sedlazeck FJ, 2013, BIOINFORMATICS, V29, P2790, DOI 10.1093/bioinformatics/btt468
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Slater GS, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-31
   Smit A.F.A., 2013, RepeatMasker Open-4.0
   Soberón J, 2007, ECOL LETT, V10, P1115, DOI 10.1111/j.1461-0248.2007.01107.x
   Stewart JR, 2010, P ROY SOC B-BIOL SCI, V277, P661, DOI 10.1098/rspb.2009.1272
   Taylor DJ, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58743-8
   Theodoridis S, 2017, SYST BIOL, V66, P715, DOI 10.1093/sysbio/syw114
   Tokishita S, 2017, GENE, V611, P38, DOI 10.1016/j.gene.2017.02.019
   Turjanski AG, 2007, ONCOGENE, V26, P3240, DOI 10.1038/sj.onc.1210415
   Vadadi-Fülöp C, 2012, AQUAT ECOL, V46, P501, DOI 10.1007/s10452-012-9418-8
   Vaser R, 2017, GENOME RES, V27, P737, DOI 10.1101/gr.214270.116
   Viana DS, 2016, TRENDS ECOL EVOL, V31, P763, DOI 10.1016/j.tree.2016.07.005
   Vrailas-Mortimer A, 2011, DEV CELL, V21, P783, DOI 10.1016/j.devcel.2011.09.002
   Walczynska A, 2021, J BIOGEOGR, V48, P2981, DOI 10.1111/jbi.14276
   Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
   Wang JH, 2021, LIMNOL OCEANOGR, V66, P95, DOI 10.1002/lno.11590
   Wang ST, 2022, CELL, V185, P3138, DOI 10.1016/j.cell.2022.06.042
   Wersebe MJ, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2217276120
   Xu S, 2009, MOL ECOL, V18, P5161, DOI 10.1111/j.1365-294X.2009.04422.x
   Yin MB, 2018, BMC EVOL BIOL, V18, DOI 10.1186/s12862-018-1256-4
   Zhang X, 2022, J INORG BIOCHEM, V229, DOI 10.1016/j.jinorgbio.2022.111745
   Zink RM, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603133
   Zuykova EI, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207347
NR 147
TC 0
Z9 0
U1 5
U2 28
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD SEP
PY 2023
VL 32
IS 18
BP 5110
EP 5124
DI 10.1111/mec.17094
EA AUG 2023
PG 15
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA R1OY3
UT WOS:001043743200001
PM 37548328
DA 2025-01-10
ER

PT J
AU Tambet, H
   Stopnitzky, Y
AF Tambet, Heleene
   Stopnitzky, Yaniv
TI Climate Adaptation and Conservation Agriculture among Peruvian
   FarmersJEL codes
SO AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE adaptation; agriculture; climate change; conservation; Peru; O13; Q12;
   Q20; Q54
ID WEATHER SHOCKS; ADOPTION; CHOICE; IMPACT
AB Peruvian agriculture will likely experience serious economic impacts of climate change, with changing rainfall and temperature patterns forcing farmers to confront abnormal climate conditions. In this context we study the impact of climate shocks on the agricultural practices of farmers who grow two main staples: maize and potato. We focus on four types of agricultural techniques: (a) those that reduce soil degradation, (b) those that conserve water, (c) the application of inorganic fertilizer, and (d) the application of pesticides and herbicides. We combine three rounds of cross-sectional data from the Peru National Agricultural Survey with long-term climate data to construct georeferenced shocks of abnormal rainfall levels and variation. Our empirical strategy controls for time-invariant characteristics of small localities, secular time trends, and farmer and farm characteristics to estimate how shocks affect farmers' choices in subsequent growing cycles. Our findings show that: (a) farmers reduce soil conservation practices after one year of high rainfall, but multiple years of low rainfall increase adoption significantly; (b) the rate of pesticide use increases by eight percentage points following a drought year but is insensitive to multiple shock years; (c) water conservation measures are used less after high precipitation or when volatility was unusually low, and multiple years of insufficient rain tend to enhance this response; and (d) fertilizer use is less sensitive than other outcomes to weather fluctuations. These findings suggest that understanding how responsive farmers' practices are to weather shocks can inform policy design and help mitigate risks from changing weather patterns.
C1 [Tambet, Heleene] Int Food Policy Res Inst, Washington, DC 20036 USA.
   [Stopnitzky, Yaniv] Univ San Francisco, Dept Econ, San Francisco, CA USA.
C3 CGIAR; International Food Policy Research Institute (IFPRI); University
   of San Francisco
RP Tambet, H (corresponding author), Int Food Policy Res Inst, Washington, DC 20036 USA.
EM htambet@cgiar.org
RI Tambet, Heleene/KBC-9552-2024
CR Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Anderson ML, 2008, J AM STAT ASSOC, V103, P1481, DOI 10.1198/016214508000000841
   [Anonymous], 2010, International Journal of Environmental, Cultural, Economic and Social Sustainability, DOI [DOI 10.18848/1832-2077/CGP/V06I05/54835, 10.18848/1832-2077/CGP/v06i05/54835]
   Aragon Fernando M, 2018, IFS WORKING PAPERS
   Arslan A, 2017, FOOD POLICY, V69, P68, DOI 10.1016/j.foodpol.2017.03.005
   Arslan A, 2015, J AGR ECON, V66, P753, DOI 10.1111/1477-9552.12107
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Asfaw S., 2014, 1408 ESA FAO
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   Burke M, 2010, ADV GLOB CHANGE RES, V37, P133, DOI 10.1007/978-90-481-2953-9_8
   Chavas JP, 2020, APPL ECON PERSPECT P, V42, P42, DOI 10.1002/aepp.13003
   CIAT, 2015, CIAT POLITICAS SINTE
   Clements R., 2011, TECHNOLOGIES CLIMATE
   Cohen M, 2008, THEOR DECIS, V64, P173, DOI 10.1007/s11238-007-9061-3
   Cohn AS, 2017, ANNU REV ENV RESOUR, V42, P347, DOI 10.1146/annurev-environ-102016-060946
   Conley TG, 2010, AM ECON REV, V100, P35, DOI 10.1257/aer.100.1.35
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   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
   ERVIN CA, 1982, LAND ECON, V58, P277, DOI 10.2307/3145937
   FAFCHAMPS M, 1992, AM J AGR ECON, V74, P90, DOI 10.2307/1242993
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   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]
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Kassie M, 2008, AGR ECON-BLACKWELL, V38, P213, DOI 10.1111/j.1574-0862.2008.00295.x
   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
   Kurukulasuriya Pradeep, 2003, ENV DEP PAPERS
   Lipper L, 2017, Climate smart agriculture: Building resilience to climate change
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   McCarthy BJ, 2011, PRINCIPLES AND PRACTICE OF NEURO-ONCOLOGY: A MULTIDISCIPLINARY APPROACH, P4
   McCarthy Nancy., 2014, Climate-smart agriculture in Latin America: drawing on research to incorporate technologies to adapt to climate change"
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Moschini G, 2001, HANDB ECON, V18, P87
   OJALA JC, 1990, AM POTATO J, V67, P29, DOI 10.1007/BF02986910
   Oxfam Novib, 2013, BUILD FARM PERC TRAD
   Painter James., 2007, Human development report 2007-2008, 2007-55
   Peru. Ministry of Environment, 2010, PER CLIM CHANG 2 NAT
   Ponce C, 2020, WORLD DEV, V127, DOI 10.1016/j.worlddev.2019.104740
   Posthumus H, 2010, LAND ECON, V86, P645, DOI 10.3368/le.86.4.645
   Rioux Janie, 2016, MITIGATION CLIMATE C
   Rosenstock Todd S., 2016, 138 CGIAR RES PROGR
   Rosenzweig M.R., 1992, Wealth, weather risk, and the composition and profitability of agricultural investments, V1055
   Salazar-Espinoza C, 2015, FOOD POLICY, V53, P9, DOI 10.1016/j.foodpol.2015.03.003
   Saldarriaga Victor, 2016, 1091 INT DEV BANK
   Sanabria J, 2013, THEOR APPL CLIMATOL, V112, P683, DOI 10.1007/s00704-012-0764-1
   Scialabba N., 2002, Organic agriculture, environment and food security
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Seo S Niggol, 2008, DIFFERENTIAL ADAPTAT
   Singh R, 2017, ENERGY ECOL ENVIRON, V2, P296, DOI 10.1007/s40974-017-0074-7
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   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]
   Stern N.H., 2006, STERN REV EC CLIMATE, V30
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   UNDP, 2013, PER HUM DEV REP 2013
   USAID, 2017, CLIM CHANG RISK PER
   Wheeler Mary K., 2017, THESIS, DOI 10.7298/X4M906MH
   World Bank, 2015, FUT FOOD SHAP CLIM S
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
   Zilberman D, 2012, ANNU REV RESOUR ECON, V4, P27, DOI 10.1146/annurev-resource-083110-115954
NR 64
TC 15
Z9 15
U1 6
U2 52
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9092
EI 1467-8276
J9 AM J AGR ECON
JI Am. J. Agr. Econ.
PD MAY
PY 2021
VL 103
IS 3
BP 900
EP 922
DI 10.1111/ajae.12177
EA JAN 2021
PG 23
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA RI3OV
UT WOS:000605065000001
DA 2025-01-10
ER

PT J
AU Eissler, S
   Thiede, BC
   Strube, J
AF Eissler, Sarah
   Thiede, Brian C.
   Strube, Johann
TI Climatic variability and changing reproductive goals in Sub-Saharan
   Africa
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Climatic variability; Fertility; Fertility preferences;
   Sub-Saharan Africa
ID FERTILITY PREFERENCES; DESIRED FERTILITY; HEALTH OUTCOMES; MIGRATION;
   IMPACT; PRECIPITATION; LIVELIHOODS; DROUGHT; POLICY; RISK
AB Using 40 rounds of Demographic and Health Survey data from 18 sub-Saharan African countries, linked to high-resolution historical climate records, we analyze the relationship between climatic variability and fertility goals among reproductive-aged women. We find that, overall, women exposed to above-average temperatures report lower ideal family size and reduced probability of desiring a first or additional child. Results indicate that exposure to precipitation anomalies during the 12 months prior to the DHS survey is associated with a significant reduction in ideal family size, but longer 60-month spells of above-average precipitation are associated with increases in ideal family size, Effects of unusual precipitation are null for women's fertility preferences at both shorter- and longer-term periods. Additional analyses show that this association varies across sub-populations defined by parity, education, residence in rural or urban areas, and region. In general, our results suggest that women exposed to adverse environmental conditions-namely abnormally hot or dry spells-will reduce their ideal family size and their preferences for having another child. In some cases, however, fertility goals may also decline during spells of favorable environmental conditions, possibly due to increased labor demands among women and their spouses. One implication of the observed links between climate variability and reproductive goals is that policymakers concerned with climate adaptation should work to ensure women have access to the necessary family planning resources needed to realize dynamic reproductive goals in a changing climate.
C1 [Eissler, Sarah; Thiede, Brian C.; Strube, Johann] Penn State Univ, 111A Armsby Bldg, University Pk, PA 16802 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park
RP Thiede, BC (corresponding author), Penn State Univ, 111A Armsby Bldg, University Pk, PA 16802 USA.
EM bct11@psu.edu
OI Strube, Johann/0000-0002-6565-5070
FU Population Research Institute at the Pennsylvania State University;
   Eunice Kennedy Shriver National Institute of Child Health and Human
   Development [P2CHD0410251]; Joan Luerssen Faculty Enhancement Fund
FX This research was supported by the Population Research Institute at the
   Pennsylvania State University (partly funded through the Eunice Kennedy
   Shriver National Institute of Child Health and Human Development
   [P2CHD0410251) and by the Joan Luerssen Faculty Enhancement Fund. The
   content is solely the responsibility of the authors and does not
   necessarily represent the official views of the National Institutes of
   Health.
CR Agadjanian V, 2005, POPUL RES POLICY REV, V24, P617, DOI 10.1007/s11113-005-5096-8
   Agadjanian V, 2011, DEMOGRAPHY, V48, P1029, DOI 10.1007/s13524-011-0039-y
   Alston Margaret., 2018, Social Sciences, V7, P16, DOI DOI 10.3390/SOCSCI7020016
   Bachan L, 2015, THESIS
   Bakhtsiyarava M, 2018, AM J PUBLIC HEALTH, V108, pS144, DOI 10.2105/AJPH.2017.304128
   Barreca A, 2018, DEMOGRAPHY, V55, P1269, DOI 10.1007/s13524-018-0690-7
   Behrman JA, 2015, DEMOGRAPHY, V52, P787, DOI 10.1007/s13524-015-0392-3
   BILSBORROW RE, 1987, WORLD DEV, V15, P183, DOI 10.1016/0305-750X(87)90077-5
   Bloom DE, 1998, BROOKINGS PAP ECO AC, P207, DOI 10.2307/2534695
   Bohra-Mishra P, 2014, P NATL ACAD SCI USA, V111, P9780, DOI 10.1073/pnas.1317166111
   BONGAARTS J, 1994, SCIENCE, V263, P771, DOI 10.1126/science.8303293
   Bongaarts J, 2018, SCIENCE, V361, P650, DOI 10.1126/science.aat8680
   Bongaarts J, 2013, POPUL DEV REV, V38, P153, DOI 10.1111/j.1728-4457.2013.00557.x
   Burlando A, 2014, DEMOGRAPHY, V51, P1477, DOI 10.1007/s13524-014-0316-7
   Casterline JB, 2007, DEMOGRAPHY, V44, P729, DOI 10.1353/dem.2007.0043
   Database of Global Administrative Areas, 2012, GADM DATABASE GLOBAL
   Davenport F, 2017, GLOBAL ENVIRON CHANG, V46, P72, DOI 10.1016/j.gloenvcha.2017.04.009
   de Sherbinin A, 2008, GLOBAL ENVIRON CHANG, V18, P38, DOI 10.1016/j.gloenvcha.2007.05.005
   De Waal A, 2006, Glob Public Health, V1, P125, DOI 10.1080/17441690600661168
   Desbureaux S, 2019, WORLD DEV, V114, P13, DOI 10.1016/j.worlddev.2018.09.026
   DHS implementing partners ICF International, 2017, DAT EXTR DEM HLTH SU
   Eloundou-Enyegue PM, 2000, POPUL RES POLICY REV, V19, P47, DOI 10.1023/A:1006423527473
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frye M, 2017, POP STUD-J DEMOG, V71, P187, DOI 10.1080/00324728.2017.1304565
   Gerland P, 2014, SCIENCE, V346, P234, DOI 10.1126/science.1257469
   Grace K, 2017, NAT CLIM CHANGE, V7, P479, DOI [10.1038/NCLIMATE3318, 10.1038/nclimate3318]
   Grace K, 2015, GLOBAL ENVIRON CHANG, V35, P125, DOI 10.1016/j.gloenvcha.2015.06.010
   Gray C, 2016, CLIMATIC CHANGE, V135, P555, DOI 10.1007/s10584-015-1592-y
   Gray C, 2012, WORLD DEV, V40, P134, DOI 10.1016/j.worlddev.2011.05.023
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Headey DD, 2016, ANNU REV RESOUR ECON, V8, P329, DOI 10.1146/annurev-resource-100815-095303
   Hidrobo M, 2016, AM ECON J-APPL ECON, V8, P284, DOI 10.1257/app.20150048
   Kodzi IA, 2010, DEMOGR RES, V22, P965, DOI 10.4054/DemRes.2010.22.30
   Lesthaeghe R., 1989, Reproduction and Social Organisation Sub-Saharan, P475
   Mastrorillo M, 2016, GLOBAL ENVIRON CHANG, V39, P155, DOI 10.1016/j.gloenvcha.2016.04.014
   Meiksin R, 2015, MATERN CHILD HLTH J, V19, P1338, DOI 10.1007/s10995-014-1638-1
   Nobles J, 2015, DEMOGRAPHY, V52, P15, DOI 10.1007/s13524-014-0362-1
   Preston S.H., 1978, EFFECTS INFANT CHILD
   PRITCHETT LH, 1994, POPUL DEV REV, V20, P1, DOI 10.2307/2137629
   Raleigh C, 2015, GLOBAL ENVIRON CHANG, V32, P187, DOI 10.1016/j.gloenvcha.2015.03.005
   Randell H, 2016, GLOBAL ENVIRON CHANG, V41, P111, DOI 10.1016/j.gloenvcha.2016.09.006
   Rosenzweig Cynthia, 2014, Proc Natl Acad Sci U S A, V111, P3268, DOI 10.1073/pnas.1222463110
   Sanz-Barbero B, 2018, SCI TOTAL ENVIRON, V644, P413, DOI 10.1016/j.scitotenv.2018.06.368
   Sasson I, 2017, POPUL ENVIRON, V38, P345, DOI 10.1007/s11111-017-0279-x
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Sellers S, 2019, WORLD DEV, V117, P357, DOI 10.1016/j.worlddev.2019.02.003
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Shapiro D, 2015, J BIOSOC SCI, V47, P258, DOI 10.1017/S0021932014000091
   Sheffield PE, 2011, ENVIRON HEALTH PERSP, V119, P291, DOI 10.1289/ehp.1002233
   Simon DH, 2017, POPUL ENVIRON, V38, P407, DOI 10.1007/s11111-017-0281-3
   Singh RBK, 2001, ENVIRON HEALTH PERSP, V109, P155, DOI 10.2307/3434769
   Sobotka T, 2011, POPUL DEV REV, V37, P267, DOI 10.1111/j.1728-4457.2011.00411.x
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Thiede B, 2016, GLOBAL ENVIRON CHANG, V41, P228, DOI 10.1016/j.gloenvcha.2016.10.005
   Trinitapoli J, 2018, POPUL DEV REV, V44, P87, DOI 10.1111/padr.12114
   Van den Broeck G, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122086
   Winterhalder B, 2002, EVOL HUM BEHAV, V23, P59, DOI 10.1016/S1090-5138(01)00089-7
NR 57
TC 29
Z9 31
U1 0
U2 27
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JUL
PY 2019
VL 57
AR 101912
DI 10.1016/j.gloenvcha.2019.03.011
PG 11
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA IP9MX
UT WOS:000480375400005
PM 32818011
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Lim-Camacho, L
   Plagányi, ÉE
   Crimp, S
   Hodgkinson, JH
   Hobday, AJ
   Howden, SM
   Loechel, B
AF Lim-Camacho, Lilly
   Plaganyi, Eva E.
   Crimp, Steven
   Hodgkinson, Jane H.
   Hobday, Alistair J.
   Howden, Stuart Mark
   Loechel, Barton
TI Complex resource supply chains display higher resilience to simulated
   climate shocks
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Supply chain; Climate change; Climate adaptation; Resilience;
   Disruption; Network modelling
ID CHANGE ADAPTATION; RISK-MANAGEMENT; IMPACT
AB Global resource supply chains deliver products such as fish, rice and minerals from producers to consumers around the world, linking disparate regions and economies. These supply chains are increasingly exposed to the impacts of a changing climate, yet receive little attention relative to the study of the production phase. Too often, business learns from experience if and how their supply chains can withstand and recover from climate shocks with little insight on proactively developing climate resilient supply chains. We use a network-based simulation approach to estimate the resilience of supply chains, particularly to disruption experienced during climate- related extreme events. We consider supply chain examples from three Australian resource industries - fisheries, agriculture and mining - that have experienced climate shocks in recent years. We derive four supply chain indices - evenness, resilience, continuity of supply and climate resilience - to estimate the performance of simple and complex supply chains in each industry. As with ecological systems, we show that complex supply chains with a large number of nodes and links are more resilient to disruption. Critically, all chains, regardless of their complexity, will have diminished resilience as climate disruptions become more frequent. This highlights the importance of considering the broader economic benefits of diversified chains, leading to risk reduction and improved design post-disruption. It also reinforces the importance of a systems approach to risk management in supply chains, particularly in considering adaptation options for addressing direct and indirect impacts on. the chain as well as the global challenge of reducing greenhouse gas emissions.
C1 [Lim-Camacho, Lilly] CSIRO Land & Water, 1 Technol Court, Pullenvale, Qld 4069, Australia.
   [Plaganyi, Eva E.] CSIRO Oceans & Atmosphere, St Lucia, Qld 4067, Australia.
   [Crimp, Steven; Howden, Stuart Mark] CSIRO Agr & Food, Black Mt, ACT 2601, Australia.
   [Hodgkinson, Jane H.] CSIRO Energy, Pullenvale, Qld 4069, Australia.
   [Loechel, Barton] CSIRO Land & Water, Dutton Pk, Qld 4102, Australia.
   [Hobday, Alistair J.] CSIRO Oceans & Atmosphere, Hobart, Tas 7000, Australia.
   [Crimp, Steven; Howden, Stuart Mark] Australian Natl Univ, Climate Change Inst, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Division of Energy; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); CSIRO Oceans & Atmosphere; Australian National
   University
RP Lim-Camacho, L (corresponding author), CSIRO Land & Water, 1 Technol Court, Pullenvale, Qld 4069, Australia.
EM lilly.lim-camacho@csiro.au
RI Hodgkinson, Jane/GLT-5216-2022; Crimp, Steven/D-6995-2011; Hobday,
   Alistair/A-1460-2012; Plaganyi, Eva/C-5130-2011; Howden,
   Stuart/C-1138-2008; Loechel, Barton/O-3826-2015; Lim-Camacho,
   Lilly/A-7502-2015
OI Plaganyi, Eva/0000-0002-4740-4200; Hodgkinson, Jane/0000-0002-4031-3883;
   Howden, Stuart/0000-0002-0386-9671; Loechel, Barton/0000-0001-6441-4892;
   Lim-Camacho, Lilly/0000-0002-4897-1186
FU CSIRO Land and Water
FX This work was supported by CSIRO Land and Water.
CR ABARES, 2015, AUSTR COMM STAT, P252
   ABS, 2016, 84150 ABS
   ABS, 2015, 53680 ABS
   Altay N, 2010, J SUPPLY CHAIN MANAG, V46, P59, DOI 10.1111/j.1745-493X.2010.03206.x
   Andreoni V, 2015, INT J EMERG SERV, V4, P6, DOI 10.1108/IJES-09-2014-0012
   [Anonymous], 2011, The Impact of Recent Flood Events on Commodities ABARES Special Report
   [Anonymous], 2012, Queensland Floods Commission of Inquiry: Final Report
   [Anonymous], GROWTH OPPORTUNITIES
   [Anonymous], STRATEGY LEADERSHIP
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Bandaly D, 2012, RISK MANAG-UK, V14, P249, DOI 10.1057/rm.2012.7
   Becker A, 2012, CLIMATIC CHANGE, V110, P5, DOI 10.1007/s10584-011-0043-7
   Benedikter A., 2013, Climate change and disaster risk management, P513, DOI [DOI 10.1007/978-3-642-31110-9, 10.1007/978-3-642-31110-9]
   BITRE, 2014, FREIGHTL 2 AUSTR IR
   Cabral I, 2012, INT J PROD RES, V50, P4830, DOI 10.1080/00207543.2012.657970
   Cai W., 2011, GEOPHYS RES LETT, V39
   CMEWA, 2012, KIMB REG INFR AN
   Davis SJ, 2011, P NATL ACAD SCI USA, V108, P18554, DOI 10.1073/pnas.1107409108
   DAWR, 2015, RICE
   de Lestang S., 2012, Stock Assessment for the West Coast Rock Lobster Fishery
   DMP, 2014, W AUSTR MIN PETR STA
   DOT, 2013, W AUSTR REG FREIGHT
   Dunne JA, 2002, P NATL ACAD SCI USA, V99, P12917, DOI 10.1073/pnas.192407699
   Farmery A, 2015, J CLEAN PROD, V87, P96, DOI 10.1016/j.jclepro.2014.10.063
   Faruk A.C., 2002, Journal of Industrial Ecology, V5, P13
   Fleming A, 2014, CLIM RISK MANAG, V1, P39, DOI 10.1016/j.crm.2013.12.003
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Geoscience Australia, 2015, AUSTR ID MIN RES
   Geoscience Australia, 2015, OP MIN DAT
   Ghadge A, 2012, INT J LOGIST MANAG, V23, P313, DOI 10.1108/09574091211289200
   Gligor DM, 2015, J OPER MANAG, V33-34, P71, DOI 10.1016/j.jom.2014.10.008
   Gurirab Theo, 2011, 2010 11 ANN EC REP Q
   Hamon KG, 2009, AQUAT LIVING RESOUR, V22, P549, DOI 10.1051/alr/2009039
   Haraguchi M, 2015, INT J DISAST RISK RE, V14, P256, DOI 10.1016/j.ijdrr.2014.09.005
   Hobday AJ, 2015, APPLIED STUDIES IN CLIMATE ADAPTATION, P139
   Hobday AJ, 2011, MAR FRESHWATER RES, V62, P1000, DOI 10.1071/MF10302
   Hodgkinson JH, 2014, REG ENVIRON CHANGE, V14, P1663, DOI 10.1007/s10113-014-0618-8
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Ivanov D, 2012, INT J PROD RES, V50, P6133, DOI 10.1080/00207543.2012.693641
   Jakku E, 2016, CLIMATIC CHANGE, V137, P557, DOI 10.1007/s10584-016-1698-x
   James SJ, 2010, FOOD RES INT, V43, P1944, DOI 10.1016/j.foodres.2010.02.001
   Kagawa S, 2015, GLOBAL ENVIRON CHANG, V35, P486, DOI 10.1016/j.gloenvcha.2015.04.003
   Levermann A, 2014, NATURE, V506, P27, DOI 10.1038/506027a
   Lim-Camacho L., 2016, Adaptive value chain approaches: Understanding adaptation in food value chains Issue June
   Lim-Camacho L, 2017, REG ENVIRON CHANGE, V17, P93, DOI 10.1007/s10113-016-0976-5
   Lim-Camacho L, 2015, REG ENVIRON CHANGE, V15, P595, DOI 10.1007/s10113-014-0670-4
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Loechel B, 2013, CLIMATIC CHANGE, V119, P465, DOI 10.1007/s10584-013-0721-8
   Manuj I, 2008, INT J PHYS DISTR LOG, V38, P192, DOI 10.1108/09600030810866986
   Mason J. R., 2000, INT J PROD RES, V38, P4061, DOI DOI 10.1080/00207540050204920
   Metcalf SJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07509-200235
   Mitchell P., 2014, PRODUCTIVITY MINING
   National Water Commission, 2011, WAT MARK AUSTR SHORT, P12
   Ng AKY, 2013, RES TRANSP BUS MANAG, V8, P186, DOI 10.1016/j.rtbm.2013.05.005
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Plagányi EE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091833
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   QEC, 2012, QUEENSL EXPL COUNC Q
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Reisinger A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1371
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Ridoutt B, 2016, CLIMATE, V4, DOI 10.3390/cli4020026
   Rippke U, 2016, NAT CLIM CHANGE, V6, P605, DOI [10.1038/nclimate2947, 10.1038/NCLIMATE2947]
   Rogers E., 2015, RICE CROP DOUBLES BU
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Rubinov M, 2010, NEUROIMAGE, V52, P1059, DOI 10.1016/j.neuroimage.2009.10.003
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Smith K, 2016, AGR HUM VALUES, V33, P45, DOI 10.1007/s10460-015-9603-1
   Soosay C, 2012, SUPPLY CHAIN MANAG, V17, P68, DOI 10.1108/13598541211212212
   Stewart LD, 2015, TRENDS FOOD SCI TECH, V44, P11, DOI 10.1016/j.tifs.2015.04.007
   Tinto Rio, ARGYLE DIAMONDS UNDE
   Van derVorst Jack., 2002, INT J PHYS DISTRIBUT, V32, P409, DOI DOI 10.1108/09600030210437951
   van Putten I, 2010, MAR POLICY, V34, P859, DOI 10.1016/j.marpol.2010.01.008
   van Putten IE, 2016, J IND ECOL, V20, P1384, DOI 10.1111/jiec.12382
   Walker B., 2004, Ecology and Society, V9, P5
   Woodhams J., 2013, FISHERY STATUS REPOR
NR 78
TC 40
Z9 43
U1 19
U2 129
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 SEP
PY 2017
VL 46
BP 126
EP 138
DI 10.1016/j.gloenvcha.2017.08.011
PG 13
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA FK3JN
UT WOS:000413381500012
DA 2025-01-10
ER

PT J
AU Gouesnard, B
   Rebourg, C
   Welcker, C
   Charcosset, A
AF Gouesnard, B
   Rebourg, C
   Welcker, C
   Charcosset, A
TI Analysis of photoperiod sensitivity within a collection of tropical
   maize populations
SO GENETIC RESOURCES AND CROP EVOLUTION
LA English
DT Article
DE climatic adaptation; earliness; photoperiod sensitivity; Zea mays L
ID INSENSITIVE STRAINS; ISOZYME VARIATION; LEAF NUMBER; TEMPERATURE;
   CULTIVARS; IDENTIFICATION; RACES
AB We analyzed the variability of a large maize (Zea mays L.) collection of 152 tropical populations for photoperiod sensitivity and grain productivity under long-day conditions to investigate their potential adaptation to temperate conditions. A multilocal experimental design was used: one location with short-day conditions (Guadeloupe), one location with medium-day conditions (late sowing in the south of France) and two locations with long-day conditions (early sowing in both the North and South of France). The photoperiod sensitivity was estimated by the slope of the regression of thermal time from sowing to 50% anthesis on photoperiod. We found highly significant effects of latitude and altitude of the collecting site of the population on photoperiod sensitivity and a significant but small interaction between these two factors. Populations originated from low altitudes and low latitudes are highly sensitive to photoperiod, whereas highland populations never display a high photoperiod sensitivity, whatever the latitude of origin. Grain productivity under long-day conditions was not highly correlated with photoperiod sensitivity. Andean populations were little sensitive to photoperiod and exhibited poor grain production under long-day conditions. In contrast, some populations from the Caribbean such as populations from Cuban Flint and Early Caribbean races exhibited a good grain production although sensitive to photoperiod. The good adaptation of some Caribbean material to temperate conditions is consistent with the hypothesis of the successful introduction of Caribbean germplasm in southern regions of the Old World.
C1 Ctr Montpellier, UMR, DGPC, INRA, Domaine Melgueil, F-34130 Mauguio, France.
   INRA, UPS, INAPG, Stn Genet Vegetale, F-91190 Gif Sur Yvette, France.
   URPV, INRA, Ctr Rech Antilles Guyane, F-97170 Petit Bourg, Guadeloupe, France.
C3 INRAE; Universite de Toulouse; Universite Toulouse III - Paul Sabatier;
   INRAE; INRAE
RP Ctr Montpellier, UMR, DGPC, INRA, Domaine Melgueil, F-34130 Mauguio, France.
EM gouesnard@ensam.inra.fr
OI Charcosset, Alain/0000-0001-6125-503X; WELCKER,
   Claude/0000-0002-8275-1259
CR Birch CJ, 1998, FIELD CROP RES, V55, P93, DOI 10.1016/S0378-4290(97)00062-2
   BONHOMME R, 1991, AGRON J, V83, P153, DOI 10.2134/agronj1991.00021962008300010035x
   BONHOMME R, 1994, CROP SCI, V34, P156, DOI 10.2135/cropsci1994.0011183X003400010028x
   BRANDOLINI A, 1969, C ASTA PUBL, V24, P36
   Brandolini A.G., 1970, Genetic Resources in Plants. Their Exploration and Conserva- tion, p273 309
   BRETTING PK, 1987, AM J BOT, V74, P1601, DOI 10.2307/2444129
   BRETTING PK, 1990, AM J BOT, V77, P211, DOI 10.2307/2444643
   CASTILLOGONZALEZ F, 1989, CROP SCI, V29, P853, DOI 10.2135/cropsci1989.0011183X002900040003x
   DOEBLEY JF, 1983, MAYDICA, V28, P97
   ELLIS RH, 1992, CROP SCI, V32, P1225, DOI 10.2135/cropsci1992.0011183X003200050033x
   FRANCIS CA, 1970, CROP SCI, V10, P465, DOI 10.2135/cropsci1970.0011183X001000050001x
   FRANCIS CA, 1969, CROP SCI, V9, P675, DOI 10.2135/cropsci1969.0011183X000900050054x
   FRANCIS CA, 1972, 27TH P ANN CORN SORG, P119
   GERIC I, 1989, RACES POPULATIONS MA
   KINIRY JR, 1983, AGRON J, V75, P700, DOI 10.2134/agronj1983.00021962007500040029x
   LLAURADO M, 1993, MAYDICA, V38, P249
   Rebourg C, 1999, MAYDICA, V44, P237
   REBOURG C, 2000, DIVERSITE GENETIQUE
   Revilla P, 1998, MAYDICA, V43, P175
   Ruiz JA, 1998, MAYDICA, V43, P277
   RUSSELL WK, 1985, CROP SCI, V25, P152, DOI 10.2135/cropsci1985.0011183X002500010037x
   RUSSELL WK, 1983, CROP SCI, V23, P847, DOI 10.2135/cropsci1983.0011183X002300050008x
   SAS Institute, 1990, SAS STAT US GUID REL
   STEVENSO.JC, 1972, CROP SCI, V12, P864, DOI 10.2135/cropsci1972.0011183X001200060045x
   Yan WK, 1998, ANN BOT-LONDON, V81, P705, DOI 10.1006/anbo.1998.0625
NR 25
TC 40
Z9 56
U1 2
U2 19
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0925-9864
EI 1573-5109
J9 GENET RESOUR CROP EV
JI Genet. Resour. Crop Evol.
PD OCT
PY 2002
VL 49
IS 5
BP 471
EP 481
DI 10.1023/A:1020982827604
PG 11
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA 610GH
UT WOS:000178952000003
DA 2025-01-10
ER

PT J
AU Montes, C
   Hussain, SG
   Krupnik, TJ
AF Montes, Carlo
   Hussain, Sk Ghulam
   Krupnik, Timothy J.
TI Variable climate suitability for wheat blast (<i>Magnaporthe oryzae</i>
   pathotype Triticum) in Asia: results from a continental-scale modeling
   approach
SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
LA English
DT Article
DE Crop damage; Fungal disease; Infection model; Early warning; Climate
   services
ID INFECTION MODEL; 1ST REPORT; PLANT; DISEASES; IRRIGATION; SIMULATION;
   CHALLENGES; IMPACTS; YIELD; PESTS
AB Crop fungal diseases constitute a major cause of yield loss. The development of crop disease monitoring and forecasting tools is an important effort to aid farmers in adapting to climate variability and change. Recognizing weather as a main driver of fungal disease outbreaks, this work assesses the climate suitability for wheat blast (Magnaporthe oryzae pathotype Triticum, MoT) development in Asian wheat-producing countries. MoT was reported for the first time in Bangladesh in 2016 and could spread to other countries, provided that environmental conditions are suitable to spore development, distribution, and infection. With results from a generic infection model driven by air temperature and humidity, and motivated by the necessity to assess the potential distribution of MoT based on the response to weather drivers only, we quantify potential MoT infection events across Asia for the period 1980-2019. The results show a potential higher incidence of MoT in Bangladesh, Myanmar, and some areas of India, where the number of potential infection (NPI) events averaged up to 15 during wheat heading. Interannual trends show an increase in NPI over those three countries, which in turns show their higher interannual variability. Cold/dry conditions in countries such as Afghanistan and Pakistan appear to render them unlikely candidates for MoT establishment. The relationship between seasonal climate anomalies and NPI suggests a greater association with relative humidity than with temperature. These results could help to focus future efforts to develop management strategies where weather conditions are conducive for the establishment of MoT.
C1 [Montes, Carlo] Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico.
   [Hussain, Sk Ghulam; Krupnik, Timothy J.] Int Maize & Wheat Improvement Ctr CIMMYT, Dhaka, Bangladesh.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT)
RP Montes, C (corresponding author), Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico.
EM c.montes@cgiar.org
RI Krupnik, Timothy/J-6363-2019; Montes, Carlo/B-6727-2013
OI Montes, Carlo/0000-0003-4828-5589
FU USAID; Bill and Melinda Gates Foundation (BMGF) through the Cereal
   Systems Initiative for South Asia (CSISA); Climate Services for
   Resilient Development (CSRD) in South Asia project - USAID; CGIAR
   Research Program on Climate Change, Agriculture and Food Security
   (CCAFS); CGIAR Regional Integrated Initiative Transforming Agrifood
   Systems in South Asia; TAFSSA; CGIAR Foresight and Metrics to Accelerate
   Inclusive and Sustainable Agrifood System Transformation initiative
FX Funding for this research was supplied by USAID and the Bill and Melinda
   Gates Foundation (BMGF) through the Cereal Systems Initiative for South
   Asia (CSISA), and the Climate Services for Resilient Development (CSRD)
   in South Asia project, supported by USAID. Additional support was
   provided by the CGIAR Research Program on Climate Change, Agriculture
   and Food Security (CCAFS; https://ccafs.cgiar.org), by the CGIAR
   Regional Integrated Initiative Transforming Agrifood Systems in South
   Asia, or TAFSSA
   (https://www.cgiar.org/initiative/20-transforming-agrifood-systems-in-so
   uth-asia-tafssa/), and by the CGIAR Foresight and Metrics to Accelerate
   Inclusive and Sustainable Agrifood System Transformation initiative
   (https://www.cgiar.org/initi ative/24-fores ight-and-metrics-to-accel
   erate-inclu sive-and-susta inable-agrifood-system-transformation/). The
   contents expressed herein are those of the author(s) and do not
   necessarily reflect the views of USAID, BMGF, CGIAR, or the US
   government, and shall not be used for advertising or product endorsement
   purposes.
CR Ahmed T, 2020, ASIA-PAC J ATMOS SCI, V56, P593, DOI 10.1007/s13143-019-00168-z
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Amarnath G., 2017, MAPPING MULTIPLE CLI
   [Anonymous], 2019, DATA STREAM 2 AGERA5
   [Anonymous], 2020, About us
   Barea G., 1996, Informe Tecnico. Proyecto de Investigacion Trigo, P76
   Bebber DP, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0458
   Bebber DP, 2014, GLOBAL ECOL BIOGEOGR, V23, P1398, DOI 10.1111/geb.12214
   Bregaglio S, 2021, FIELD CROP RES, V265, DOI 10.1016/j.fcr.2021.108108
   Bregaglio S, 2015, ENVIRON MODELL SOFTW, V72, P426, DOI 10.1016/j.envsoft.2015.05.011
   Bregaglio S, 2013, AGRON SUSTAIN DEV, V33, P767, DOI 10.1007/s13593-013-0149-6
   Bregaglio S, 2012, ECOL MODEL, V247, P58, DOI 10.1016/j.ecolmodel.2012.08.004
   Bregaglio S, 2010, THEOR APPL CLIMATOL, V102, P429, DOI 10.1007/s00704-010-0274-y
   Ceresini PC, 2018, ANNU REV PHYTOPATHOL, V56, P427, DOI 10.1146/annurev-phyto-080417-050036
   Cruz CD, 2017, TROP PLANT PATHOL, V42, P210, DOI 10.1007/s40858-017-0159-z
   Cruz CD, 2016, PLANT DIS, V100, P1979, DOI 10.1094/PDIS-09-15-1006-RE
   CSISA, 2021, CEREAL SYSTEMS INITI
   Fernandes JMC, 2017, TROP PLANT PATHOL, V42, P230, DOI 10.1007/s40858-017-0164-2
   Curtis BC, 2002, Bread wheat: improvement and production
   Donatelli M, 2017, AGR SYST, V155, P213, DOI 10.1016/j.agsy.2017.01.019
   Duveiller E, 2011, PHYTOPATHOLOGY, V101, pS220
   Duveiller E., 2016, World Wheat Book vol, V3, P1107
   Fernandes JM., 2021, ADV UNDERSTANDING BI
   Figueroa M, 2018, MOL PLANT PATHOL, V19, P1523, DOI 10.1111/mpp.12618
   Fisher MC, 2012, NATURE, V484, P186, DOI 10.1038/nature10947
   Goulart A. C. P., 1992, Fitopatologia Brasileira, V17, P321
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hossain A, 2019, ACTA AGROBOT, V72, DOI 10.5586/aa.1775
   Hussain I., 2003, Land and water productivity of wheat in the western Indo-Gangetic plains of India and Pakistan: A comparative analysis. Research Report 65
   Igarashi S., 1986, Fitopatologia Brasilera, V11, P351
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   International Food Policy Research Institute(IFPRI), 2019, GLOBAL SPATIALLY DIS, VV2, DOI [10.7910/DVN/PRFF8V, DOI 10.7910/DVN/PRFF8V]
   Islam MT, 2020, PHYTOPATHOL RES, V2, DOI 10.1186/s42483-020-00067-6
   Islam MT, 2016, BMC BIOL, V14, DOI 10.1186/s12915-016-0309-7
   Martínez SI, 2019, J KING SAUD UNIV SCI, V31, P150, DOI 10.1016/j.jksus.2018.05.003
   Jain M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8228
   Joglekar AKB, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0212281
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jönsson P, 2004, COMPUT GEOSCI-UK, V30, P833, DOI 10.1016/j.cageo.2004.05.006
   Juroszek P, 2020, PLANT PATHOL, V69, P179, DOI 10.1111/ppa.13119
   Kendall M. G., 1948, Rank correlation methods.
   Kim KH, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.570381
   Koo J, 2010, **DATA OBJECT**
   Krupnik TJ, 2021, ADV AGRON, V170, P155, DOI 10.1016/bs.agron.2021.06.004
   Launay M, 2014, AGR ECOSYST ENVIRON, V197, P147, DOI 10.1016/j.agee.2014.07.020
   Liu H, 2020, ECOL MODEL, V430, DOI 10.1016/j.ecolmodel.2020.109132
   Lobell DB, 2013, AGR SYST, V115, P137, DOI 10.1016/j.agsy.2012.09.003
   Magarey RD, 2005, PHYTOPATHOLOGY, V95, P92, DOI 10.1094/PHYTO-95-0092
   Malaker PK, 2016, PLANT DIS, V100, P2330, DOI 10.1094/PDIS-05-16-0666-PDN
   Meyer M, 2017, NAT PLANTS, V3, P780, DOI 10.1038/s41477-017-0017-5
   Mishra V, 2020, NAT GEOSCI, V13, P722, DOI 10.1038/s41561-020-00650-8
   MORRIS ML, 1994, AGR ECON, V10, P269, DOI 10.1016/0169-5150(94)90028-0
   Mottaleb KA, 2018, EUR J DEV RES, V30, P252, DOI 10.1057/s41287-017-0096-1
   Mottaleb KA, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0197555
   Pequeno DNL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd970
   Perelló A, 2015, PLANT DIS, V99, P1177, DOI 10.1094/PDIS-11-14-1182-PDN
   Ram H, 2013, AGR WATER MANAGE, V128, P92, DOI 10.1016/j.agwat.2013.06.011
   Reynolds MP, 2017, SCIENCE, V357, P359, DOI 10.1126/science.aam8559
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Singh PK, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.710707
   Tembo B, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238724
   Tshewang S, 2018, EXP AGR, V54, P428, DOI 10.1017/S001447971700014X
   Tuinenburg OA, 2014, J HYDROMETEOROL, V15, P1028, DOI 10.1175/JHM-D-13-078.1
   United States Department of Agriculture Production Supply andDistribution (USDA PS&D), 2022, US
   USDA, 2019, IND RIC MILL DAT
   Viswanath K, 2017, CLIMATIC CHANGE, V142, P155, DOI 10.1007/s10584-017-1942-z
   Wood-Sichra U, 2016, HARVESTCHOICE WORKIN
   Yan WK, 1999, ANN BOT-LONDON, V84, P607, DOI 10.1006/anbo.1999.0955
   Yesmin N, 2020, PLANT PATHOL, V69, P1618, DOI 10.1111/ppa.13250
   Yonar A., 2021, Adv. Comput. Intell, V1, P1, DOI [10.1007/s43674-021-00027-3, DOI 10.1007/S43674-021-00027-3, 10.1007/S43674-021-00027-3]
   You LZ, 2006, AGR SYST, V90, P329, DOI 10.1016/j.agsy.2006.01.008
   Yu QY, 2020, EARTH SYST SCI DATA, V12, P3545, DOI 10.5194/essd-12-3545-2020
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
NR 73
TC 5
Z9 5
U1 1
U2 8
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0020-7128
EI 1432-1254
J9 INT J BIOMETEOROL
JI Int. J. Biometeorol.
PD NOV
PY 2022
VL 66
IS 11
BP 2237
EP 2249
DI 10.1007/s00484-022-02352-9
EA AUG 2022
PG 13
WC Biophysics; Environmental Sciences; Meteorology & Atmospheric Sciences;
   Physiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biophysics; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences; Physiology
GA 5Z2HD
UT WOS:000842868300003
PM 35994122
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Grecequet, M
   Saikawa, E
   Hellmann, JJ
AF Grecequet, Martina
   Saikawa, Eri
   Hellmann, Jessica J.
TI Select but diverse countries are reducing both climate vulnerability and
   CO<sub>2</sub> emissions
SO ELEMENTA-SCIENCE OF THE ANTHROPOCENE
LA English
DT Article
DE CO2 emissions; Climate vulnerability; Climate change policy; Global and
   country level
ID MITIGATION; ADAPTATION; BENEFITS
AB Mitigation of greenhouse gas (GHG) emissions and adaptation to climate risk are two essential ingredients of climate change policy. Both are needed and co-benefits may exist. Yet, mitigation and adaptation are not usually pursued together. Part of remedying this shortcoming is understanding the relationship between GHG emissions and climate vulnerability reduction and recognizing when and where they trend together. Here, we compare changes in fossil fuel CO2 emissions per capita and in climate vulnerability scores over the past two decades in 179 countries. We use climate vulnerability scores from the well-established ND-GAIN Country Index, a composite metric constructed from thirty-six indicators covering three components of vulnerability (exposure, sensitivity and adaptive capacity). We find that 69% of the countries decreased climate vulnerability, while increasing their per capita fossil fuel CO2 emissions. These countries are successfully reducing climate vulnerability but are increasing their GHG emissions and thus failing in mitigation efforts. In contrast, 23% of the countries have been successful in simultaneously reducing per capita CO2 emissions and climate vulnerability. Furthermore, in highly vulnerable countries, increasing CO2 emissions are not correlated with decreasing climate vulnerability. These findings underscore that climate vulnerability reduction may be due only partly to economic development. This finding also changes our prevailing view that increases in CO2 emissions are associated with vulnerability reduction. Finally, examining mitigation and climate-vulnerability reduction by sector, we show that a majority of countries are able to reduce vulnerability in ecosystem services. Those countries and sectors with positive trends provide examples for others to follow, as solutions at the mitigation-climate vulnerability reduction interface are essential for sustainable economic development.
C1 [Grecequet, Martina] Univ Minnesota, Inst Environm, St Paul, MN 55108 USA.
   [Saikawa, Eri] Emory Univ, Dept Environm Sci, Atlanta, GA 30322 USA.
   [Hellmann, Jessica J.] Univ Minnesota, Coll Biol Sci, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   Emory University; University of Minnesota System; University of
   Minnesota Twin Cities
RP Hellmann, JJ (corresponding author), Univ Minnesota, Coll Biol Sci, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA.
EM hellmann@umn.edu
RI Saikawa, Eri/HCI-9996-2022
CR Althor G, 2016, SCI REP-UK, V6, DOI 10.1038/srep20281
   [Anonymous], 2014, CLIMATE CHANGE 2014
   [Anonymous], METH DOC CLIM VULN M
   [Anonymous], J EXTREM EVENTS, DOI [10.1142/S2345737615500037, DOI 10.1142/S2345737615500037]
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Barros V, 2012, SPECIAL REPORT WORKI
   Butler D, 2008, NATURE, V452, P520, DOI 10.1038/452520a
   Chakravarty S, 2009, P NATL ACAD SCI USA, V106, P11884, DOI 10.1073/pnas.0905232106
   Chen C, 2015, COUNTRY INDEX TECHNI
   Chen C, 2018, MITIG ADAPT STRAT GL, V23, P101, DOI 10.1007/s11027-016-9731-y
   Diffenbaugh NS, 2007, P NATL ACAD SCI USA, V104, P20195, DOI 10.1073/pnas.0706680105
   Dorling D, 2015, APPL GEOGR, V61, P24, DOI 10.1016/j.apgeog.2015.02.004
   Environment Agency, 2017, UK DEP FOOD RURAL AF
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Gall M., 2007, INDICES SOCIAL VULNE
   Global Carbon Project, 2017, CARB BUDG TRENDS
   Hansen J, 2017, EARTH SYST DYNAM, V8, P577, DOI 10.5194/esd-8-577-2017
   Hennessey R, 2017, ENERG POLICY, V111, P214, DOI 10.1016/j.enpol.2017.09.025
   Jackson RB, 2016, NAT CLIM CHANGE, V6, P7
   Jorgenson AK, 2014, NAT CLIM CHANGE, V4, P186, DOI 10.1038/NCLIMATE2110
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   NYC Mayors Office of Recover and Resiliency, 2017, PREL CLIM RES DES GU
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Olivier J.G. J., 2016, TRENDS GLOBAL CO2 EM
   Pauw W., 2016, NDC EXPLORER, DOI [10.23661/ndc_explorer_2017_2.0, DOI 10.23661/NDC_EXPLORER_2017_2.0, https://doi.org/10.23661/ndc_explorer_2017_2.0]
   Pauw WP, 2018, CLIMATIC CHANGE, V147, P23, DOI 10.1007/s10584-017-2122-x
   Ramaswami A, 2017, NAT CLIM CHANGE, V7, P736, DOI [10.1038/nclimate3373, 10.1038/NCLIMATE3373]
   Rosa EA, 2012, NAT CLIM CHANGE, V2, P581, DOI 10.1038/NCLIMATE1506
   Sharma A, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064004
   YOHE G, 2006, INTEGRATED ASSESSMEN, V0006
NR 31
TC 4
Z9 4
U1 1
U2 21
PU UNIV CALIFORNIA PRESS
PI OAKLAND
PA 155 GRAND AVE, SUITE 400, OAKLAND, CA 94612-3758 USA
SN 2325-1026
J9 ELEMENTA-SCI ANTHROP
JI Elementa-Sci. Anthrop.
PD JAN 4
PY 2019
VL 7
AR 4
DI 10.1525/elementa.342
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 HI4WI
UT WOS:000456452300001
OA gold
DA 2025-01-10
ER

PT C
AU Sauchyn, D
   Upegui, JJV
   Masiokas, M
   Ocampo, O
   Cara, L
   Villalba, R
AF Sauchyn, David
   Velez Upegui, Jorge Julian
   Masiokas, Mariano
   Ocampo, Olga
   Cara, Leandro
   Villalba, Ricardo
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI Exposure of Rural Communities to Climate Variability and Change: Case
   Studies from Argentina, Colombia and Canada
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 Rural agricultural communities; Exposure; Climate change; Climate
   variability; Canada; Colombia; Argentina
ID SNOWPACK; ANDES; CHILE
AB This paper presents results from studies of exposure to climate change and extreme events in the Mendoza River Basin in western Argentina, the Chinchina River basin in the Colombian Andes, and the Oldman River basin and Swift Current Creek watershed in the Canadian Prairies. These case studies are a major component of an international research project: "Vulnerability and Adaptation to Climate Extremes in the Americas" (VACEA). This project is very much interdisciplinary; with social and natural science providing context and direction for research in the other realm of scholarship, producing insights that very likely would not arise from a more narrow disciplinary perspective. A large number of interviews with local actors revealed that agricultural producers and local officials recognize their high degree of exposure and sensitivity to climate variability and extreme weather events, although they generally do not associate this with climate change. Case studies of exposure demonstrate that the perceptions of the local actors are consistent with the nature of the regional hydroclimatic regimes. In all four river basins, climate variability between years and decades masks any regional expression of global climate change. These modes of periodic variability dominate the paleoclimate of past centuries and the recorded hydroclimate of recent decades. The exposure variables examined in this paper, indices of stream flow, snowpack, water excess and deficit, vary in coherence with the characteristic frequencies of large-scale ocean-atmosphere circulation patterns, specifically the ENSO and PDO. Projections of the future states of these variables require the use of climate models that are able to simulate the internal variability of the climate system and the teleconnections between ocean-atmosphere oscillations and regional hydroclimate.
C1 [Sauchyn, David] Univ Regina, Prairie Adaptat Res Collaborat, Regina, SK, Canada.
   [Velez Upegui, Jorge Julian] Univ Nacl Colombia, Dept Civil Engn, Manizales, Colombia.
   [Masiokas, Mariano; Cara, Leandro; Villalba, Ricardo] CCT CONICET, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina.
   [Ocampo, Olga] Univ Autonoma Manizales, Manizales, Colombia.
C3 University of Regina; Universidad Nacional de Colombia; Consejo Nacional
   de Investigaciones Cientificas y Tecnicas (CONICET); Universidad
   Autonoma de Manizales
RP Sauchyn, D (corresponding author), Univ Regina, Prairie Adaptat Res Collaborat, Regina, SK, Canada.
EM sauchyn@uregina.ca
RI Velez, Jorge/AAA-8184-2019; Ocampo Lopez, Olga Lucia/B-9283-2019
OI Ocampo Lopez, Olga Lucia/0000-0002-6394-977X; Masiokas,
   Mariano/0009-0007-1437-415X; Villalba, Ricardo/0000-0001-8183-0310
CR Agard J., 2014, IPCC WGII AR5 GLOSSA
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2012, SPECIAL REPORT WORKI
   Deser C, 2012, NAT CLIM CHANGE, V2, P775, DOI 10.1038/NCLIMATE1562
   Gurrapu S, 2016, J AM WATER IN PRESS
   Hales D., 2014, Climate change impacts in the United States: The third annual climate assessment, P333, DOI DOI 10.7930/J01Z429C
   Hughes M.K., 2011, Dev. Paleoenviron. Res., V11, P365
   IPCC, 2014, CLIM CHANG 2013 IMP
   KATZ RW, 1992, CLIMATIC CHANGE, V21, P289, DOI 10.1007/BF00139728
   Kharin VV, 2007, J CLIMATE, V20, P1419, DOI 10.1175/JCLI4066.1
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Lapp SL, 2012, INT J CLIMATOL, V32, P1423, DOI 10.1002/joc.2364
   Masiokas MH, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016748
   Masiokas MH, 2010, J HYDROMETEOROL, V11, P822, DOI 10.1175/2010JHM1191.1
   Masiokas MH, 2006, J CLIMATE, V19, P6334, DOI 10.1175/JCLI3969.1
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Orlove B, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P131
   Poveda G, 1997, J CLIMATE, V10, P2690, DOI 10.1175/1520-0442(1997)010<2690:FBHPIT>2.0.CO;2
   Poveda G., 2010, CLIM DYNAM, V36, P2233, DOI [DOI 10.1007/s00382-010-0931-y, 10.1007/s00382-010-0931-y]
   Sauchyn DJ, 2015, HDB CLIMATE CHANGE A
   Sauchyn DJ, 2014, J HYDROL
   Shabbar A, 2011, ATMOS OCEAN, V49, P339, DOI 10.1080/07055900.2011.564908
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tebaldi C, 2006, CLIMATIC CHANGE, V79, P185, DOI 10.1007/s10584-006-9051-4
   Trenberth KE, 2012, CLIMATIC CHANGE, V115, P283, DOI 10.1007/s10584-012-0441-5
   Villalba R, 2011, DEV PALEOENVIRON RES, V11, P175, DOI 10.1007/978-1-4020-5725-0_7
   Wittrock V, 2014, CONNECTING CLIMATE C
NR 28
TC 6
Z9 7
U1 0
U2 17
PU SPRINGER INT PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 23
EP 38
DI 10.1007/978-3-319-28591-7_2
PG 16
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:000390838100002
DA 2025-01-10
ER

PT J
AU Vilao, D
   Ramos, IL
AF Vilao, Daniel
   Ramos, Isabel Loupa
TI Lisbon Urban Climate: Statistical Analysis/Approach for Urban Heat
   Island Effect Based on a Pioneering Urban Meteorological Network
SO ATMOSPHERE
LA English
DT Article
DE urban heat island; thermal comfort; adaptation measures; climate
   resilience; climatopes
ID THERMAL COMFORT; ZONES
AB The urban heat island (UHI) effect is a widely recognized phenomenon consisting of heat accumulation by dense urban construction and human activities, resulting in higher temperatures across urban areas compared to their surroundings. This article aims to quantify the UHI effect on several areas throughout the city of Lisbon, Portugal, with the main goal of validating, evaluating, and reinforcing urban climate adaptation and resilience strategies proposed in the recent scientific literature. A set of nine quality-controlled weather stations from the "Lisboa Aberta" network that are compliant with the World Meteorological Organization (WMO) standards and installation requirements were used to characterize Lisbon's UHI, in comparison to a reference weather station from the Instituto Portugu & ecirc;s do Mar e da Atmosfera (IPMA), located at Lisbon Airport. By applying a principal component analysis (PCA) in an innovative way to 10 urban indexes, it is shown that the thermal inertia in Lisbon's urban areas is positively correlated with the UHI intensity and urban density, regardless of the daily heating/cooling cycle. Furthermore, the results show that land use also has an impact on the UHI effect, with continuous, vertical building areas showing the greatest deviations in comparison to the reference, averaging +1.8 degrees C. Contrastingly, horizontal building areas reveal an average deviation of +1.3 degrees C, with sparse, discontinuously built areas representing an average UHI effect of +0.2 degrees C. Finally, through a climatope analysis, it is determined that, across Lisbon, high-density urban areas and ventilation corridors are responsible for inducing average UHI effects of +1.7 degrees C and +0.2 degrees C, respectively.
C1 [Vilao, Daniel] Inst Portugues Mar & Atmosfera, Div Meteorol Aeronaut, Dept Meteorol & Geofis, Rua C Aeroporto, P-1749077 Lisbon, Portugal.
   [Ramos, Isabel Loupa] Univ Lisbon, Ctr Innovat Terr Urbanism & Architecture CiTUA, Inst Super Tecn, P-1000042 Lisbon, Portugal.
C3 Instituto Portugues do Mar e da Atmosfera; Universidade de Lisboa
RP Vilao, D (corresponding author), Inst Portugues Mar & Atmosfera, Div Meteorol Aeronaut, Dept Meteorol & Geofis, Rua C Aeroporto, P-1749077 Lisbon, Portugal.
EM daniel.vilao@ipma.pt
OI do Couto Vilao, Daniel/0009-0007-9043-7335
CR Alcoforado M., 2005, Orientacoes Climaticas para o Ordenamento em Lisboa, P60
   Alcoforado M.J., 2012, Urban Climatic MapAn Information Tool for Sustainable Urban Planning (Chinese Version), P95
   Alcoforado M.J., 2015, The Urban Climatic Map for Sustainable Urban Living, P16
   Alcoforado MJ, 2009, LANDSCAPE URBAN PLAN, V90, P56, DOI 10.1016/j.landurbplan.2008.10.006
   Alcoforado MJ, 2006, THEOR APPL CLIMATOL, V84, P151, DOI 10.1007/s00704-005-0152-1
   Alcoforado MJ., 2007, A Cidade e a Saude, Lisboa, Edicoes, P99
   Alverson K., 1997, Arct. Alp. Res, V30, P418, DOI [10.2307/1552015, DOI 10.2307/1552015]
   Andrade H, 2008, THEOR APPL CLIMATOL, V92, P225, DOI 10.1007/s00704-007-0321-5
   ANDRADE H., 2005, Finisterra, VXL, P67, DOI [10.18055/FINIS1479, DOI 10.18055/FINIS1479]
   Andrade H., 2003, Bioclima Humano e Temperatura do Ar em Lisboa
   [Anonymous], 2006, London's Urban Heat Island: A Summary for Decision Makers
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Chang JS, 2016, INT GEOSCI REMOTE SE, P5300, DOI 10.1109/IGARSS.2016.7730380
   Foshag K, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102215
   Geletic J, 2018, SCI TOTAL ENVIRON, V624, P385, DOI 10.1016/j.scitotenv.2017.12.076
   Halder B, 2022, THEOR APPL CLIMATOL, V150, P613, DOI 10.1007/s00704-022-04180-8
   Huang CH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12052001
   Huang KT, 2018, SCI TOTAL ENVIRON, V626, P567, DOI 10.1016/j.scitotenv.2018.01.031
   Karimi A, 2023, ENVIRON DEV SUSTAIN, V25, P10485, DOI 10.1007/s10668-022-02530-0
   Kim YJ, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108244
   Lau K.K.-L., 2022, Outdoor Thermal Comfort in Urban Environment: Assessments and Applications in Urban Planning and Design, V1st ed., DOI [10.1007/978-981-16-5245-5, DOI 10.1007/978-981-16-5245-5]
   Lau KKL, 2019, INT J BIOMETEOROL, V63, P979, DOI 10.1007/s00484-019-01712-2
   Lima DCA, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100377
   Lopes A, 2011, ENVIRON MODELL SOFTW, V26, P241, DOI 10.1016/j.envsoft.2010.05.015
   Lopes A., 2003, Tese de Doutoramento em Geografia Fsica Apresentada Faculdade de Letras da Universidade de Lisboa
   Lopes A., 2008, Territorium, V15, P39, DOI [10.14195/1647-7723_15_4, DOI 10.14195/1647-7723_15_4, DOI 10.14195/1647-7723154]
   Lopes A., 2020, Fase 3Relatrio Final de Cenarizao e Mapeamento de Medidas de Mitigao das Ilhas de Calor Urbano
   Lopes A, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/487695
   Marco J., 2007, Anlise EstatsticaCom Utilizao do SPSS, V3rd ed.
   Milosevic D.D., 2016, HUNGARIAN GEOGRAPHIC, V65, P129, DOI DOI 10.15201/HUNGEOBULL.65.2.4
   Mohammad P, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.100993
   Oke T., 2017, Urban climate, P156
   Oke T.R., 2004, INITIAL GUIDANCE OBT
   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]
   Oliveira A, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12030292
   Oliveira S, 2007, INT J BIOMETEOROL, V52, P69, DOI 10.1007/s00484-007-0100-0
   Oliveira S, 2014, FINISTERRA, V49, P113
   Reis C., 2018, Masters Thesis
   Reis C, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11080840
   ROTH M, 1993, Q J ROY METEOR SOC, V119, P1071, DOI 10.1002/qj.49711951311
   Rutledge K., 2011, Urban heat island
   Sabnis G.M., 2015, Green building with concrete: sustainable design and construction, VSecond
   Soares PMM, 2014, TELLUS A, V66, DOI 10.3402/tellusa.v66.22377
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Unger J, 2018, INT J BIOMETEOROL, V62, P183, DOI 10.1007/s00484-017-1440-z
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
NR 47
TC 0
Z9 0
U1 4
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD OCT
PY 2024
VL 15
IS 10
AR 1177
DI 10.3390/atmos15101177
PG 35
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA K2A8O
UT WOS:001341966200001
OA gold
DA 2025-01-10
ER

PT J
AU Evteev, A
   Syutkina, T
   Grosheva, A
   Santos, P
   Ghirotto, S
   Hanihara, T
   Hubbe, M
   Menendez, LP
AF Evteev, Andrej
   Syutkina, Taisiya
   Grosheva, Alexandra
   Santos, Patricia
   Ghirotto, Silvia
   Hanihara, Tsunehiko
   Hubbe, Mark
   Menendez, Lumila Paula
TI Disparate and parallel craniofacial climatic adaptations in native
   populations of Asia, North America, and South America
SO JOURNAL OF ANATOMY
LA English
DT Article
DE climate diversity; cranial variation; human adaptation; modern humans;
   morphological evolution
ID PARTIAL LEAST-SQUARES; CRANIAL MORPHOLOGY; HUMAN NICHE; ECOGEOGRAPHIC
   VARIATION; MIDFACIAL MORPHOLOGY; HOMOLOGOUS SERIES; MAXILLARY SINUS;
   NASAL; COLD; PATTERNS
AB Understanding the impact that climate had in shaping cranial variation is critical for inferring the evolutionary mechanisms that played a role in human diversification. Here, we provide a comprehensive study aiming to analyze the association between climate and cranial variation of high latitude populations living in temperate to cold environments of Asia, North America, and South America. For this, we compiled a large morphometric dataset (N = 2633), which was combined with climatic and genomic data. We tested the influence of climate on the facial skeleton, nasal protrusion, and cranial vault and through multiple statistical tests at two geographical scales: intracontinental and intercontinental. We show that populations living in cold areas share a morphological pattern characterized by an increase in nasal height, facial and orbital heights and widths, a decrease in facial protrusion, and larger, longer, and lower cranial vaults. There are also distinctive features; populations from north Asia present the tallest noses, largest faces, and cranial vaults of the whole sample. Nasal breadth dimensions show small values in Asians, large values in South Americans, and non-significant changes in arctic North America. The morphological pattern in populations living at high latitude may be the result of parallel adaptation, as supported by physiological, morphometric, ecological, and genetic explanations, while the differences in magnitude and phenotypic expression could be due to the diverse population histories, severity of climate, and cultural strategies. Overall, our study shows that climate is a relevant factor shaping modern human morphology and it should be considered when studying modern human evolution and diversification.
C1 [Evteev, Andrej] Moscow MV Lomonosov State Univ, Anuchin Res Inst, Mokhovaya St 11,Bldg 1, Moscow 125009, Russia.
   [Evteev, Andrej] Moscow MV Lomonosov State Univ, Museum Anthropol, Mokhovaya St 11,Bldg 1, Moscow 125009, Russia.
   [Syutkina, Taisiya] Russian Acad Sci, Miklukho Maklay Inst Ethnol & Anthropol, Moscow, Russia.
   [Grosheva, Alexandra] Russian Acad Sci, Vavilov Inst Gen Genet, Moscow, Russia.
   [Santos, Patricia] Univ Bordeaux, CNRS, UMR 5199, PACEA, Pessac, France.
   [Santos, Patricia; Ghirotto, Silvia] Univ Ferrara, Dept Life Sci & Biotechnol, Ferrara, Italy.
   [Hanihara, Tsunehiko] Kitasato Univ, Sch Med, Dept Anat, Sagamihara, Kanagawa, Japan.
   [Hubbe, Mark] Ohio State Univ, Dept Anthropol, Columbus, OH USA.
   [Hubbe, Mark] Univ Catolica Norte, Inst Arqueol & Antropol, San Pedro De Atacama, Chile.
   [Menendez, Lumila Paula] Univ Bonn, Dept Anthropol Amer, Oxfordstr 15, D-53111 Bonn, Germany.
   [Menendez, Lumila Paula] Konrad Lorenz Inst Evolut & Cognit Res, Klosterneuburg, Austria.
   [Menendez, Lumila Paula] Univ Vienna, Dept Evolutionary Biol, Vienna, Austria.
C3 Lomonosov Moscow State University; Lomonosov Moscow State University;
   Russian Academy of Sciences; Russian Academy of Sciences; Vavilov
   Institute of General Genetics; Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   Universite de Bordeaux; University of Ferrara; Kitasato University;
   University System of Ohio; Ohio State University; Universidad Catolica
   del Norte; University of Bonn; University of Vienna
RP Evteev, A (corresponding author), Moscow MV Lomonosov State Univ, Anuchin Res Inst, Mokhovaya St 11,Bldg 1, Moscow 125009, Russia.; Evteev, A (corresponding author), Moscow MV Lomonosov State Univ, Museum Anthropol, Mokhovaya St 11,Bldg 1, Moscow 125009, Russia.; Menendez, LP (corresponding author), Univ Bonn, Dept Anthropol Amer, Oxfordstr 15, D-53111 Bonn, Germany.
EM evteandr@gmail.com; menendez@uni-bonn.de
RI Hubbe, Mark/AAC-1043-2020; Hubbe, Mark/G-3440-2012
OI Hubbe, Mark/0000-0003-4433-3942; Santos, Patricia/0000-0003-2792-3385
FU Konrad Lorenz Institute for Evolution and Cognition Research (KLI,
   Klosterneuburg, Austria); Moscow State University research program;
   Russian Foundation for Basic Research [18-09-00487]
FX This project was developed thanks to a visiting fellowship and a postdoc
   fellowship provided by the Konrad Lorenz Institute for Evolution and
   Cognition Research (KLI, Klosterneuburg, Austria), granted to A.E. and
   L.P.M. It was also partially funded by the Russian Foundation for Basic
   Research (Grant number 18-09-00487) and the Moscow State University
   research program "Heritage of the Society of Naturalists,
   Anthropologists and Ethnographers (OLEAE) at Moscow University: museum
   funds and documents." We would like to thank the two anonymous referees
   for the constructive comments that contributed to improving a previous
   version of this manuscript.
CR Alekseeva T.I., 1986, ADAPTIVE PROCESSES H
   Allen J. A., 1877, Radical Review, Vi, P108
   [Anonymous], 1973, Biometrics, DOI [10.2307/2529140, DOI 10.2307/2529140]
   [Anonymous], 1989, Statistical Science, DOI DOI 10.1214/SS/1177012582
   Antón SC, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0236
   Balentine CM, 2022, EVOL ANTHROPOL, V31, P302, DOI 10.1002/evan.21956
   BEALS KL, 1984, CURR ANTHROPOL, V25, P301, DOI 10.1086/203138
   Benazzo A, 2015, ECOL EVOL, V5, P172, DOI 10.1002/ece3.1261
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Bernal V, 2014, HOMO, V65, P101, DOI 10.1016/j.jchb.2013.11.004
   Betti L, 2010, AM J PHYS ANTHROPOL, V141, P76, DOI 10.1002/ajpa.21115
   Bguelin M., 2010, REV ARGENTINA ANTROP, V12, P27
   Boivin NL, 2016, P NATL ACAD SCI USA, V113, P6388, DOI 10.1073/pnas.1525200113
   Bookstein FL, 2003, J HUM EVOL, V44, P167, DOI 10.1016/S0047-2484(02)00201-4
   BOOKSTEIN FL, 1990, COMMUN STAT THEORY, V19, P765, DOI 10.1080/03610929008830231
   Buck LT, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47202-8
   Buck LT, 2018, QUATERNARY SCI REV, V192, P149, DOI 10.1016/j.quascirev.2018.05.032
   Bunak V.V., 1960, P USSR AC SCI, P84
   Butaric LN, 2018, AM J HUM BIOL, V30, DOI 10.1002/ajhb.23104
   Butaric LN, 2010, AM J PHYS ANTHROPOL, V143, P426, DOI 10.1002/ajpa.21331
   Cardona A., 2010, EUROPEAN ENCOUNTERS
   CAREY JW, 1981, AM J PHYS ANTHROPOL, V56, P313, DOI 10.1002/ajpa.1330560312
   Chapman Anne., 2010, European Encounters with the Yamana People of Cape Horn, Before and After Darwin
   Churchill SE, 2004, AM J HUM BIOL, V16, P625, DOI 10.1002/ajhb.20074
   COLE Ph., 1982, NOSE UPPER AIRWAY PH, P163
   Coon C.S., 1963, The origin of races
   Corey JP, 1998, OTOLARYNG HEAD NECK, V119, P389, DOI 10.1016/S0194-5998(98)70085-3
   CROGNIER E, 1981, ANN HUM BIOL, V8, P99, DOI 10.1080/03014468100004841
   Davenport John., 2012, ANIMAL LIFE LOW TEMP
   Davies A, 1932, J R ANTHROPOL INST G, V62, P337, DOI 10.2307/2843962
   Dong Y., 2021, DEEP LEARNING MODEL, P3350
   Dryden I.L., 1998, 2012 STAT ANAL SHAPE
   Dryomov SV, 2015, EUR J HUM GENET, V23, P1399, DOI 10.1038/ejhg.2014.286
   Edholm O.G., 1978, MANHOT COLD
   Evteev A., 2021, ANCIENT CONNECTIONS
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Evteev AA, 2019, AM J PHYS ANTHROPOL, V169, P513, DOI 10.1002/ajpa.23841
   Evteev AA, 2017, J HUM EVOL, V107, P36, DOI 10.1016/j.jhevol.2017.02.008
   Fabra M, 2011, HUM BIOL, V83, P491, DOI 10.3378/027.083.0404
   Diniz JAF, 2009, GENET MOL BIOL, V32, P203, DOI 10.1590/S1415-47572009000200001
   Flegontov P, 2019, NATURE, V570, P236, DOI 10.1038/s41586-019-1251-y
   Franciscus R.G., 1995, LATER PLEISTOCENE NA
   Freidline SE, 2015, AM J PHYS ANTHROPOL, V158, P116, DOI 10.1002/ajpa.22759
   Friedrich M, 2016, STUD MANUSCR CULT, V9, P1
   Frisancho R.A., 1993, HUMAN ADAPTATION ACC
   Fu QM, 2013, P NATL ACAD SCI USA, V110, P2223, DOI 10.1073/pnas.1221359110
   Fuentes A, 2015, AM ANTHROPOL, V117, P302, DOI 10.1111/aman.12248
   Fukase H, 2016, AM J HUM BIOL, V28, P343, DOI 10.1002/ajhb.22786
   Gonzalez PN, 2010, AM J PHYS ANTHROPOL, V142, P367, DOI 10.1002/ajpa.21231
   GORDON CC, 1992, AM J HUM BIOL, V4, P253, DOI 10.1002/ajhb.1310040210
   Gusinde M., 1982, INDIOS TIERRA FUEGO
   HAMMEL H T, 1960, WADC Tech Rep United States Air Force Wright Air Dev Cent Day Ohio, V60-633, P1
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Hanihara T, 2000, AM J PHYS ANTHROPOL, V111, P105, DOI 10.1002/(SICI)1096-8644(200001)111:1<105::AID-AJPA7>3.0.CO;2-O
   Hanihara T, 1996, AM J PHYS ANTHROPOL, V99, P389, DOI 10.1002/(SICI)1096-8644(199603)99:3<389::AID-AJPA3>3.0.CO;2-S
   Harvati K, 2007, VERTEBR PALEOBIOL PA, P239
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Hernandez M, 1997, AM J PHYS ANTHROPOL, V103, P103, DOI 10.1002/(SICI)1096-8644(199705)103:1<103::AID-AJPA7>3.3.CO;2-B
   HIERNAUX J, 1976, HUM BIOL, V48, P757
   HILLENIUS WJ, 1994, EVOLUTION, V48, P207, DOI 10.1111/j.1558-5646.1994.tb01308.x
   Hoffecker JF, 2016, EVOL ANTHROPOL, V25, P64, DOI 10.1002/evan.21478
   Holton NE, 2008, J HUM EVOL, V55, P942, DOI 10.1016/j.jhevol.2008.07.001
   Howells WW., 1989, SKULL SHAPES MAP
   Hubbe M, 2009, ANAT REC, V292, P1720, DOI 10.1002/ar.20976
   Hylander WL., 1977, Orofacial Growth and Development, P129
   Perez SI, 2010, J HUM EVOL, V59, P698, DOI 10.1016/j.jhevol.2010.07.019
   Jablonka E, 2006, J THEOR BIOL, V239, P236, DOI 10.1016/j.jtbi.2005.08.038
   JABLONKA E, 2005, EVOLUTION 4 DIMENSIO
   Keck T, 2000, RHINOLOGY, V38, P167
   Kissel M, 2021, EVOL ANTHROPOL, V30, P84, DOI 10.1002/evan.21883
   Kitada S, 2007, GENETICS, V177, P861, DOI 10.1534/genetics.107.077263
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   KUPZOW AJ, 1975, ECON BOT, V29, P372, DOI 10.1007/BF02862184
   Lahr MM, 1995, YEARB PHYS ANTHROPOL, V38, P163
   Laland KN, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.1019
   Lavoy ECP, 2011, WILD ENVIRON MED, V22, P343, DOI 10.1016/j.wem.2011.08.005
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Lee M, 2020, FORENSIC SCI INT, V306, DOI 10.1016/j.forsciint.2019.110092
   Legendre P., 1998, Developments in Environmental Modelling, V20
   Maddux SD, 2017, ANAT REC, V300, P209, DOI 10.1002/ar.23447
   Maddux SD, 2017, AM J PHYS ANTHROPOL, V162, P103, DOI 10.1002/ajpa.23100
   Maddux SD, 2016, AM J PHYS ANTHROPOL, V161, P309, DOI 10.1002/ajpa.23032
   MANTEL N, 1970, BIOMETRICS, V26, P547, DOI 10.2307/2529108
   MANTEL N, 1967, CANCER RES, V27, P209
   Marques DA, 2019, TRENDS ECOL EVOL, V34, P531, DOI 10.1016/j.tree.2019.02.008
   Martin R., 1928, Lehrbuch der anthropologie in Systematischer Derstellung, V2
   Matsumura H, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-15883-3
   MAYR E, 1956, EVOLUTION, V10, P105, DOI 10.1111/j.1558-5646.1956.tb02836.x
   Men?ndez L.P., 2015, Diversificacion morfologica craniofacial y diversidad en la dieta: el caso de la region centrooeste de Argentina durante el Holoceno tardio
   Menéndez L, 2014, AM J PHYS ANTHROPOL, V155, P114, DOI 10.1002/ajpa.22560
   Mitteroecker P, 2013, HYSTRIX, V24, P59, DOI 10.4404/hystrix-24.1-6369
   Muller GerdB., 2010, Biological Theory, V5, P275, DOI [10.1162/biot_a_00050, DOI 10.1162/BIOT_A_00050, 10.1162/BIOTa00050]
   Newman MT, 1953, AM ANTHROPOL, V55, P311, DOI 10.1525/aa.1953.55.3.02a00020
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   Norman N., 1960, MAN ANTARCTIC
   O'Brien M.J., 2020, Culture History and Convergent Evolution: Can We Detect Populations in Prehistory?, P261, DOI DOI 10.1007/978-3-030-46126-3_13
   O'Brien MJ, 2012, CURR ANTHROPOL, V53, P434, DOI 10.1086/666585
   Paschetta C., 2017, De Cmo Cruzar Fronteras en la Ciencia. Homenaje a Hctor M. Pucciarelli. Puerto Madryn and Buenos Aires
   Menéndez LP, 2018, AM J PHYS ANTHROPOL, V165, P309, DOI 10.1002/ajpa.23355
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Perez SI, 2007, AM J PHYS ANTHROPOL, V133, P1067, DOI 10.1002/ajpa.20633
   Perez SI, 2009, EVOLUTION, V63, P978, DOI 10.1111/j.1558-5646.2008.00539.x
   Posth C, 2018, CELL, V175, P1185, DOI 10.1016/j.cell.2018.10.027
   Pucciarelli HM, 2008, J HUM EVOL, V54, P296, DOI 10.1016/j.jhevol.2007.08.011
   Pucciarelli HM, 2006, HOMO, V57, P133, DOI 10.1016/j.jchb.2005.12.003
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Ramachandran S, 2005, P NATL ACAD SCI USA, V102, P15942, DOI 10.1073/pnas.0507611102
   Rangel TF, 2010, ECOGRAPHY, V33, P46, DOI 10.1111/j.1600-0587.2009.06299.x
   Rees JS, 2020, TRENDS GENET, V36, P415, DOI 10.1016/j.tig.2020.03.006
   Reich D, 2012, NATURE, V488, P370, DOI 10.1038/nature11258
   Relethford JH, 2004, HUM BIOL, V76, P499, DOI 10.1353/hub.2004.0060
   Relethford JH, 2004, AM J HUM BIOL, V16, P379, DOI 10.1002/ajhb.20045
   Roberts DF, 1953, AM J PHYS ANTHROP-NE, V11, P533, DOI 10.1002/ajpa.1330110404
   Roberts P, 2018, NAT HUM BEHAV, V2, P542, DOI 10.1038/s41562-018-0394-4
   Rohlf FJ, 2000, SYST BIOL, V49, P740, DOI 10.1080/106351500750049806
   Roseman CC, 2004, P NATL ACAD SCI USA, V101, P12824, DOI 10.1073/pnas.0402637101
   Ross AH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48205-1
   ROTHHAMMER F, 1990, AM J PHYS ANTHROPOL, V82, P9, DOI 10.1002/ajpa.1330820103
   RStudio Team, 2020, RSTUDIO INT DEV R
   RUFF CB, 1991, J HUM EVOL, V21, P81, DOI 10.1016/0047-2484(91)90001-C
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   Schmidt-Nielsen K., 1975, Animal physiology: adaptation and environment
   Schwidetzky I., 1962, NEUE RASSENKUNDE
   SHEA BT, 1977, AM J PHYS ANTHROPOL, V47, P289, DOI 10.1002/ajpa.1330470209
   Sikora M, 2019, NATURE, V570, P182, DOI 10.1038/s41586-019-1279-z
   Siple P.A., 1945, P AM PHILOS SOC, V89, P200
   SMOUSE PE, 1992, YEARB PHYS ANTHROPOL, V35, P187
   Stansfield E, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86830-x
   STEEGMANN AT, 1970, AM J PHYS ANTHROPOL, V32, P243, DOI 10.1002/ajpa.1330320212
   TEMPLETON AR, 1980, GENETICS, V94, P1011
   Thompson JN, 1998, TRENDS ECOL EVOL, V13, P329, DOI 10.1016/S0169-5347(98)01378-0
   Thomson A, 1923, J R ANTHROPOL INST G, V53, P92, DOI 10.2307/2843753
   Tipton M, 2014, EXTREME PHYSIOL MED, V3, DOI 10.1186/2046-7648-3-12
   Tran CNH, 2021, AM J PHYS ANTHROPOL, V176, P422, DOI 10.1002/ajpa.24378
   Turbn D., 2021, J ANTHROPOLOGICAL AR, V4, P532, DOI [10.32474/JAAS.2021.04.000192, DOI 10.32474/JAAS.2021.04.000192]
   Van Oldenborgh GJ, 2005, J CLIMATE, V18, P3250, DOI 10.1175/JCLI3421.1
   Van Valkenburgh B, 2014, ANAT REC, V297, P2065, DOI 10.1002/ar.23026
   Vavilov NI, 1922, J GENET, V12, P47, DOI 10.1007/BF02983073
   Vioarsdóttir US, 2002, J ANAT, V201, P211
   VOLKOV-DUBROVIN V. P., 1960, VOPR ANTROPOL, V1, P45
   von Cramon-Taubadel N, 2011, P NATL ACAD SCI USA, V108, P19546, DOI 10.1073/pnas.1113050108
   von Cramon-Taubadel N, 2009, AM J PHYS ANTHROPOL, V140, P205, DOI 10.1002/ajpa.21041
   WALKER JE, 1961, AM J MED, V30, P259, DOI 10.1016/0002-9343(61)90097-3
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wells JCK, 2007, YEARB PHYS ANTHROPOL, V50, P191, DOI 10.1002/ajpa.20735
   Woo TL, 1934, BIOMETRIKA, V26, P196, DOI 10.1093/biomet/26.1-2.196
   Yim AD, 2023, J HUM EVOL, V179, DOI 10.1016/j.jhevol.2023.103369
   Yokley TR, 2009, AM J PHYS ANTHROPOL, V138, P11, DOI 10.1002/ajpa.20893
NR 148
TC 0
Z9 0
U1 0
U2 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-8782
EI 1469-7580
J9 J ANAT
JI J. Anat.
PD NOV
PY 2024
VL 245
IS 5
BP 699
EP 724
DI 10.1111/joa.14115
EA AUG 2024
PG 26
WC Anatomy & Morphology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Anatomy & Morphology
GA J8B5V
UT WOS:001298111600001
PM 39183681
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Haque, CE
   Khan, SA
   Choudhury, M
AF Haque, C. Emdad
   Khan, Sabbir Ahmed
   Choudhury, Mahed
TI Role of multi-level institutions in facilitating innovation and
   adaptation technologies for reducing climate risk and impact: Evidence
   from coastal communities of Bangladesh
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Climate change; Institutions; Disaster risk reduction; Agriculture;
   Water; Bangladesh
ID DISASTER MANAGEMENT; NATURAL DISASTERS; RESILIENCE; GOVERNANCE;
   DECENTRALIZATION; VULNERABILITY; INVOLVEMENT; CHALLENGES; NETWORKS;
   PEOPLE
AB While the role of innovation and adaptation technology in reducing climatic risks is widely recognized, few studies have investigated the role of formal, quasi-formal, and informal institutions in facilitating the adoption of such technology at the local level. The novel contribution of this study is in offering explanations of how local institutions facilitate or create barriers against innovation and implementation of climate adaptation technologies. In this study, we employ a mixedmethods research technique to empirically examine the roles of local institutions in two coastal communities in Bangladesh in facilitating reduction of the impacts of climate hazards. Primary data were collected via interviewing 300 household heads, 26 key informant interviews, and 2 Focus Group Discussion sessions. The findings reveal that local institutions (i.e., formal, quasiformal, and informal) are actively involved in various partnership-building processes and actions to promote innovation and adaptation technologies at the community level. For example, in the study area of Satkhira District, in collaboration with local non-governmental organizations (NGOs) as well as national level government organizations, such as Bangladesh Meteorological Department, Union Parishad Disaster Management Committees are deeply engaged in mobilizing local volunteers to effectively disseminate cyclone-related early warnings. However, significant institutional fragmentation in the country remains a major barrier to the sustainable implementation of various programs related to climatic hazards. For institutions to play their roles sustainably, it is recommended that national policies place greater emphasis on nurturing partnerships among regional stakeholders, as well as facilitating collective action for climate-induced disaster risk reduction and participatory community development.
C1 [Haque, C. Emdad; Khan, Sabbir Ahmed] Univ Manitoba, Nat Resources Inst, Winnipeg, MB, Canada.
   [Choudhury, Mahed] Univ Calgary, Fac Social Work, Calgary, AB, Canada.
   [Haque, C. Emdad; Khan, Sabbir Ahmed] 70 Dysart Rd, Winnipeg, MB R3T 2M6, Canada.
   [Choudhury, Mahed] 2500 Univ Dr, Calgary, AB, Canada.
C3 University of Manitoba; University of Calgary
RP Haque, CE (corresponding author), Univ Manitoba, Nat Resources Inst, Winnipeg, MB, Canada.; Haque, CE (corresponding author), 70 Dysart Rd, Winnipeg, MB R3T 2M6, Canada.
EM cemdad.haque@umanitoba.ca; khansa2@myumanitoba.ca;
   mahed.choudhury@ucalgary.ca
RI Choudhury, Mahed/GON-8223-2022; Haque, C. Emdad/HTL-6290-2023
OI Khan, Sabbir Ahmed/0009-0003-6442-2202; Haque,
   Emdad/0000-0001-8008-2496; Choudhury, Mahed/0000-0002-8511-1011
FU Climate Change Program of the International Development Research Centre
   (IDRC) , Ottawa, Canada [108960-002]
FX The Climate Change Program of the International Development Research
   Centre (IDRC) , Ottawa, Canada (grant #108960-002) provided funding for
   the study. The grant was provided to C. Emdad Haque (the second author).
CR Abass R., 2018, West African Journal of Applied Ecology, V26, P56
   Abedin MA, 2019, INT J DISAST RISK SC, V10, P28, DOI 10.1007/s13753-018-0211-8
   ADB (Asian Development Bank), 2020, Community-based flood risk management and disaster response in the Chao Phraya Basin
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Adshead D, 2024, NAT CLIM CHANGE, V14, DOI 10.1038/s41558-024-01950-2
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal A, 2013, ENVIRON SCI POLICY, V25, P138, DOI 10.1016/j.envsci.2012.08.004
   Ahmed S, 2021, ASIAN AFF, V52, P155, DOI 10.1080/03068374.2021.1880213
   Ahrens J., 2006, J CONTING CRISIS MAN, V14, P207, DOI [10.1111/j.1468-5973.2006.00497.x, DOI 10.1111/J.1468-5973.2006.00497.X, DOI 10.1111/J.1468-5973.2006.00497]
   Ainuddin S, 2013, INT J DISAST RISK RE, V6, P50, DOI 10.1016/j.ijdrr.2013.04.001
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Ayanlade A, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100311
   Azad MA, 2022, ENVIRON HAZARDS-UK, V21, P309, DOI 10.1080/17477891.2021.1976096
   Azhoni A, 2017, GLOBAL ENVIRON CHANG, V44, P144, DOI 10.1016/j.gloenvcha.2017.04.005
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Becchetti L, 2011, WORLD DEV, V39, P898, DOI 10.1016/j.worlddev.2009.10.020
   Bekele F, 2020, CLIMATE, V8, DOI 10.3390/cli8120149
   Berkes F, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071232
   Bertule M., 2018, P. Climate, Change adaptation technologies for water: a practitioner's guide to adaptation technologies for increased water sector resilience
   Choudhury MUI, 2021, ENVIRON SCI POLICY, V124, P580, DOI 10.1016/j.envsci.2021.08.007
   Choudhury MUI, 2021, ECOL SOC, V26, DOI 10.5751/ES-12107-260105
   Choudhury MUI, 2019, J ENVIRON PLANN MAN, V62, P1761, DOI 10.1080/09640568.2018.1513833
   Chowdhury MA, 2022, J CLIM CHANGE HEALTH, V6, DOI 10.1016/j.joclim.2021.100108
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Fan MF, 2015, J ENVIRON PLANN MAN, V58, P24, DOI 10.1080/09640568.2013.839444
   Faruqee R., 2011, Multiple borrowing by MFI clients: Current status and implications for future of microfinance
   Fenton A, 2017, REG ENVIRON CHANGE, V17, P2387, DOI 10.1007/s10113-017-1159-8
   Fleiss J. L., 1981, Statistical methods for rates and proportions
   Freni G, 2019, WATER-SUI, V11, DOI 10.3390/w11071389
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Garcia DA, 2023, ENERG CONVERS MAN-X, V17, DOI 10.1016/j.ecmx.2022.100335
   Glaas E, 2010, LOCAL ENVIRON, V15, P525, DOI 10.1080/13549839.2010.487525
   Greenlee LF, 2009, WATER RES, V43, P2317, DOI 10.1016/j.watres.2009.03.010
   Gronning T., 2008, DRUID 25 CEL C 2008
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Gupta R, 2020, AGR RES, V9, P429, DOI 10.1007/s40003-020-00467-2
   Hadi T., 2019, J. Rural Dev., V29, P111, DOI [10.1177/1018529119860958, DOI 10.1177/1018529119860958]
   Haque CE, 2022, DISASTER PREV MANAG, V31, P601, DOI 10.1108/DPM-12-2020-0373
   Hermansson H, 2019, INT J PUBLIC ADMIN, V42, P417, DOI 10.1080/01900692.2018.1466898
   Hoque MZ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224552
   Huq N, 2015, SUSTAINABILITY-BASEL, V7, P8437, DOI 10.3390/su7078437
   Islam MR, 2018, SOC INDIC RES, V136, P575, DOI 10.1007/s11205-017-1563-y
   Islam MT, 2017, J ENVIRON MANAGE, V200, P347, DOI 10.1016/j.jenvman.2017.05.092
   Jakariya M, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140255
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   Kabir A, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09968-z
   Kabir R, 2016, J ENVIRON PUBLIC HEA, V2016, DOI 10.1155/2016/9654753
   Kalogiannidis S., 2023, J. Risk Financ. Manag, V16, P151, DOI [https://doi.org/10.3390/jrfm16030151, DOI 10.3390/JRFM16030151, 10.3390/jrfm16030151]
   Keys N, 2014, REG ENVIRON CHANGE, V14, P501, DOI 10.1007/s10113-012-0394-2
   Kirby JM, 2016, CLIMATIC CHANGE, V135, P481, DOI 10.1007/s10584-016-1597-1
   Kumar T.S. A., 2005, Disaster Prevention and Management, V14, P176, DOI DOI 10.1108/09653560510595173
   Kundu S, 2020, CLIMATE, V8, DOI 10.3390/cli8090098
   Lebel L, 2011, REG ENVIRON CHANGE, V11, P45, DOI 10.1007/s10113-010-0118-4
   Lewis D., 2017, Dhaka, DOI DOI 10.21953/LSE.N245T29EKI8C
   Lewis D, 2022, DEV CHANGE, V53, P356, DOI 10.1111/dech.12534
   Lovell E., 2014, Clim. Dev. Knowl. Netw. (CDKN)
   Lwoga ET, 2011, LIBR REV, V60, P383, DOI 10.1108/00242531111135263
   Maes J, 2018, ENVIRON SCI POLICY, V85, P163, DOI 10.1016/j.envsci.2018.04.002
   Mallick B, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4010013
   Murti R, 2019, INT J DISAST RISK RE, V33, P433, DOI 10.1016/j.ijdrr.2018.09.018
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Nyiwul L, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126859
   Paparrizos S, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100241
   Parkinson S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf2a3
   Parvin GA, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100032
   Puppala H, 2023, TECHNOL SOC, V74, DOI 10.1016/j.techsoc.2023.102335
   Rabbani G., 2021, Climate Change in Asia and Africa - Examining the Biophysical and Soxial Consequences, and Society's Responses, DOI [10.5772/intechopen.98623, DOI 10.5772/INTECHOPEN.98623]
   Rabbani G., 2011, Technologies for Adaptation-Perspectives and Practical Experiences, V97
   Rabbani M.G., 2010, City Voices CITYNET: The Regional Network of Local Authorities for the Management of Human Settlement, P6
   Rahaman M, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04700-7
   Rahman MM, 2022, GEOENVIRONMENTAL DIS, V9, DOI 10.1186/s40677-022-00209-2
   Rahman MS, 2023, CLIM POLICY, V23, P1257, DOI 10.1080/14693062.2023.2212638
   Raungpaka V., 2017, Kasetsart Journal of Social Sciences, V38, P196, DOI 10.1016/j.kjss.2016.08.018
   Sadik MS, 2018, INT J DISAST RISK SC, V9, P28, DOI 10.1007/s13753-018-0166-9
   Sajid I, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12070913
   Shaw R., 2022, Climate Change 2022: Impacts, P1457, DOI [DOI 10.1017/9781009325844.012, 10.1017/9781009325844.012]
   Sultana N, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.823296
   Sun YH, 2012, NAT HAZARDS, V60, P865, DOI 10.1007/s11069-011-9873-x
   Sutton Jane, 2015, Can J Hosp Pharm, V68, P226
   Tang ZH, 2009, INT J CLIM CHANG STR, V1, P368, DOI 10.1108/17568690911002898
   Uddin MS, 2021, DISASTER PREV MANAG, V30, P94, DOI 10.1108/DPM-03-2020-0069
   Uddin MN, 2019, APPL GEOGR, V102, P47, DOI 10.1016/j.apgeog.2018.12.011
   UNDRR, 2019, Global assessment report on disaster risk reduction (GAR)
   Van Niekerk D., 2014, Disaster Management: International Lessons in Risk Reduction, Response and Recovery, P1
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Wittmayer JM, 2017, ENVIRON INNOV SOC TR, V24, P45, DOI 10.1016/j.eist.2016.10.003
   Yaro JA, 2015, CLIM DEV, V7, P235, DOI 10.1080/17565529.2014.951018
NR 90
TC 2
Z9 2
U1 2
U2 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD SEP
PY 2024
VL 111
AR 104669
DI 10.1016/j.ijdrr.2024.104669
EA JUL 2024
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 YH3E9
UT WOS:001267550300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Marshall, AM
   Abatzoglou, JT
   Rahimi, S
   Lettenmaier, DP
   Hall, A
AF Marshall, Adrienne M.
   Abatzoglou, John T.
   Rahimi, Stefan
   Lettenmaier, Dennis P.
   Hall, Alex
TI California's 2023 snow deluge: Contextualizing an extreme snow year
   against future climate change
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE climate change; snow hydrology; hydroclimate
ID CONTERMINOUS UNITED-STATES; INTERANNUAL VARIABILITY; PROJECTED CHANGES;
   DROUGHT; PRECIPITATION; TEMPERATURE; FLUXES; SEASON; MODEL
AB The increasing prevalence of low snow conditions in a warming climate has attracted substantial attention in recent years, but a focus exclusively on low snow leaves high snow years relatively underexplored. However, these large snow years are hydrologically and economically important in regions where snow is critical for water resources. Here, we introduce the term "snow deluge" and use anomalously high snowpack in California's Sierra Nevada during the 2023 water year as a case study. Snow monitoring sites across the state had a median 41 y return interval for April 1 snow water equivalent (SWE). Similarly, a process - based snow model showed a 54 y return interval for statewide April 1 SWE (90% CI: 38 to 109 y). While snow droughts can result from either warm or dry conditions, snow deluges require both cool and wet conditions. Relative to the last century, cool - season temperature and precipitation during California's 2023 snow deluge were both moderately anomalous, while temperature was highly anomalous relative to recent climatology. Downscaled climate models in the Shared Socioeconomic Pathway - 370 scenario indicate that California snow deluges-which we define as the 20 y April 1 SWE event-are projected to decline with climate change (58% decline by late century), although less so than median snow years (73% decline by late century). This pattern occurs across the western United States. Changes to snow deluge, and discrepancies between snow deluge and median snow year changes, could impact water resources and ecosystems. Understanding these changes is therefore critical to appropriate climate adaptation.
C1 [Marshall, Adrienne M.] Colorado Sch Mines, Hydrol Sci & Engn Program, Golden, CO 80401 USA.
   [Abatzoglou, John T.] Univ Calif Merced, Dept Management Complex Syst, Merced, CA 95343 USA.
   [Rahimi, Stefan] Univ Wyoming, Dept Atmospher Sci, Laramie, WY 82071 USA.
   [Rahimi, Stefan; Hall, Alex] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA.
   [Lettenmaier, Dennis P.] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA.
C3 Colorado School of Mines; University of California System; University of
   California Merced; University of Wyoming; University of California
   System; University of California Los Angeles; University of California
   System; University of California Los Angeles
RP Marshall, AM (corresponding author), Colorado Sch Mines, Hydrol Sci & Engn Program, Golden, CO 80401 USA.
EM adriennemarshall@mines.edu
RI Marshall, Adrienne/JLK-9704-2023; Abatzoglou, John/C-7635-2012
OI Marshall, Adrienne/0000-0001-5555-2548; Abatzoglou,
   John/0000-0001-7599-9750
FU NSF Award; Alfred P. Sloan Foundation Award [2023- 19665]; USDA National
   Institute of Food and Agriculture [2021- 69012- 35916, 2021- 67021-
   35344]; Department of Energy's Hyper FACETS [A23- 1053- S003]; Strategic
   Environmental Research and Development Program Project; California
   Energy Commission [EPC- 20- 006]; University of California's Climate
   Ecosystems Future [LRF- 18- 542511]
FX A.M.M. was partially supported by NSF Award #2241892 and the Alfred P.
   Sloan Foundation Award #2023- 19665. J.T.A. was partially supported by
   USDA National Institute of Food and Agriculture Awards #2021- 69012-
   35916 and 2021- 67021- 35344. S.R. was partially supported by the
   Department of Energy's Hyper FACETS (A23- 1053- S003) project, the
   Strategic Environmental Research and Development Program Project, the
   California Energy Commission (EPC- 20- 006) , and the University of
   California's Climate Ecosystems Future (LRF- 18- 542511) project. We
   also thank the computational support through the NCAR- Wyoming
   Supercomputing Center and the Computational and Information Systems
   Laboratory. We thank Noah Molotch and one anonymous reviewer for
   constructive feedback that substantially improved this manuscript.
CR Abatzoglou JT, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL095414
   Abatzoglou JT, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60270-5
   AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Barsugli JJ, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001537
   Belmecheri S, 2016, NAT CLIM CHANGE, V6, P2
   Breckheimer IK, 2020, FRONT ECOL ENVIRON, V18, P76, DOI 10.1002/fee.2142
   Bruyère CL, 2014, CLIM DYNAM, V43, P1847, DOI 10.1007/s00382-013-2011-6
   California Department of Water Resources, 2023, California's Snowpack is now one of the largest ever, bringing drought relief, flooding concerns
   Cho E, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR028126
   Conroy Gemma, 2023, Nature, DOI 10.1038/d41586-023-00937-x
   Cowherd M, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acd804
   Delaney CJ, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026604
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Gilleland E, 2016, J STAT SOFTW, V72, P1, DOI 10.18637/jss.v072.i08
   Gordon BL, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac64b4
   Gottlieb AR, 2022, B AM METEOROL SOC, V103, pE1041, DOI 10.1175/BAMS-D-20-0243.1
   Goulden ML, 2019, NAT GEOSCI, V12, P632, DOI 10.1038/s41561-019-0388-5
   Grubert E, 2022, WIRES WATER, V9, DOI 10.1002/wat2.1576
   Guan B, 2013, WATER RESOUR RES, V49, P6731, DOI 10.1002/wrcr.20537
   Guan B, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044696
   Harpold A., 2017, EOS T AM GEOPHYS UN, V98
   Harpold AA, 2018, P NATL ACAD SCI USA, V115, P1215, DOI 10.1073/pnas.1716789115
   Heldmyer AJ, 2023, J AM WATER RESOUR AS, DOI 10.1111/1752-1688.13095
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Huang XY, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abq0995
   Hubler S., 2023, NY Times24 August, pA12
   Huning LS, 2020, P NATL ACAD SCI USA, V117, P19753, DOI 10.1073/pnas.1915921117
   Jenkins JS, 2023, WEATHER CLIM SOC, V15, P365, DOI 10.1175/WCAS-D-22-0099.1
   Kangas RS, 2007, INT J CLIMATOL, V27, P1303, DOI 10.1002/joc.1473
   Kern JD, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9db1
   Klos PZ, 2014, GEOPHYS RES LETT, V41, P4560, DOI 10.1002/2014GL060500
   Koshkin AL, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.971271
   Krantz W., 2021, Memorandum on Evaluating Global Climate Models for Studying Regional Climate Change in California
   Li DY, 2019, WATER RESOUR RES, V55, P8492, DOI 10.1029/2019WR024950
   Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483
   Livneh B, 2020, NAT CLIM CHANGE, V10, P452, DOI 10.1038/s41558-020-0754-8
   Livneh B, 2013, J CLIMATE, V26, P9384, DOI 10.1175/JCLI-D-12-00508.1
   Luce CH, 2014, WATER RESOUR RES, V50, P9447, DOI 10.1002/2013WR014844
   Lute AC, 2015, WATER RESOUR RES, V51, P960, DOI 10.1002/2014WR016267
   Lute AC, 2014, WATER RESOUR RES, V50, P2874, DOI 10.1002/2013WR014465
   Marshal AM, 2019, GEOPHYS RES LETT, V46, P8882, DOI 10.1029/2019GL083770
   Marshall A, 2018, WEATHER CLIM SOC, V10, P209, DOI 10.1175/WCAS-D-17-0087.1
   Marshall AM, 2022, ENVIRON RES-INFRASTR, V2, DOI 10.1088/2634-4505/ac668f
   Marshall AM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086409
   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
   Musselman KN, 2021, NAT CLIM CHANGE, V11, P418, DOI 10.1038/s41558-021-01014-9
   Musselman KN, 2018, NAT CLIM CHANGE, V8, P808, DOI 10.1038/s41558-018-0236-4
   Musselman KN, 2017, NAT CLIM CHANGE, V7, P214, DOI [10.1038/nclimate3225, 10.1038/NCLIMATE3225]
   Natural Resources Conservation Service, 2024, SNOwpack TELemetry Network (SNOTEL)
   O'Gorman PA, 2014, NATURE, V512, P416, DOI 10.1038/nature13625
   Overpeck JT, 2020, P NATL ACAD SCI USA, V117, P11856, DOI 10.1073/pnas.2006323117
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rahimi S., 2023, CMIP6 GCMs downscaled using WRF
   Rahimi S., 2023, An overview of the Western United States dynamically downscaled dataset (WUSD3), DOI [10.5194/gmd-2023-162, DOI 10.5194/GMD-2023-162]
   Rahimi S, 2022, J GEOPHYS RES-ATMOS, V127, DOI 10.1029/2021JD035699
   Rudolf M. F., 2022, Can. J. Zool., V100, P574, DOI [10.1139/cjz-2022-0035, DOI 10.1139/CJZ-2022-0035]
   Shrestha RR, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02968-7
   Skamarock WC, 2019, NCAR tech note ncar/tn-556+ str 145, DOI [10.5065/1dfh-6p97, DOI 10.5065/1DFH-6P97]
   Slatyer RA, 2022, CONSERV BIOL, V36, DOI 10.1111/cobi.13727
   State of California, 2024, CDEC web applications california daily statewide reservoirs report
   Su Lu, 2024, Zenodo, DOI 10.5281/ZENODO.10602557
   Su L, 2021, J HYDROMETEOROL, V22, P1153, DOI 10.1175/JHM-D-20-0158.1
   Sullivan A, 2019, ENVIRON SCI POLICY, V91, P39, DOI 10.1016/j.envsci.2018.10.011
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Turner S., 2022, PNNL- 33212, DOI [10.2172/1887470, DOI 10.2172/1887470]
   Vajda A, 2014, NAT HAZARDS, V72, P169, DOI 10.1007/s11069-013-0895-4
   Vose Russell, 2015, NCEI
   Vose RS, 2014, J APPL METEOROL CLIM, V53, P1232, DOI 10.1175/JAMC-D-13-0248.1
   Wiesnet D., 1981, Eos, Transactions American Geophysical Union, V62, P137, DOI [10.1029/EO062i014p00137-04, DOI 10.1029/EO062I014P00137-04]
   Wobus C, 2017, GLOBAL ENVIRON CHANG, V45, P1, DOI 10.1016/j.gloenvcha.2017.04.006
   Wood AW, 2006, B AM METEOROL SOC, V87, P1699, DOI 10.1175/BAMS-87-12-1699
   Woodhouse CA, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022413
   Yang KH, 2023, FRONT EARTH SC-SWITZ, V11, DOI 10.3389/feart.2023.1106621
   Zamora-Reyes D, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL099582
   Zhou S, 2023, SCI ADV, V9, DOI 10.1126/sciadv.abo1638
NR 76
TC 1
Z9 1
U1 7
U2 10
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD MAY 14
PY 2024
VL 121
IS 20
AR e2320600121
DI 10.1073/pnas.2320600121
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA UI5X0
UT WOS:001247451000003
PM 38684006
OA hybrid
DA 2025-01-10
ER

PT J
AU Ley, D
   Bolaños, TG
   Castaneda, A
   Hidalgo, HG
   Pignot, POG
   Fernández, R
   Alfaro, EJ
   Castellanos, EJ
AF Ley, Debora
   Bolanos, Tania Guillen
   Castaneda, Antonethe
   Hidalgo, Hugo G.
   Pignot, Pascal O. Girot
   Fernandez, Rodrigo
   Alfaro, Eric J.
   Castellanos, Edwin J.
TI Central America urgently needs to reduce the growing adaptation gap to
   climate change
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE Central America; climate change; climate adaptation; Central American
   Dry Corridor; climate policies
ID LOW-LEVEL JET; LATIN-AMERICA; HEAT EXPOSURE; FOOD SECURITY; VARIABILITY;
   MIGRATION; SEA; RAINFALL; DROUGHT; HEALTH
AB Central America is highly impacted by current extreme events associated with climate variability and the adverse effects of climate change, showing high vulnerability compounded by its historical context and socioeconomic structure. In light of the important findings published by the WGII of the IPCC AR6 in 2022 on the adverse effects of climate change on the Central American region, there is still a clear need to improve data availability and to increase the number of studies on projections of changes in the climate, risks, impacts, vulnerability, and adaptation from the region to inform decision-makers and practitioners. The region has seen an increase in the number of adaptation projects implemented; however, there is limited information about their success or failure, and there are few case studies and reviews of lessons learned, highlighting an important gap in the implementation of effective adaptation measures. This article presents a current review of the literature on climatology, hydrology, impacts and vulnerability, mitigation and adaptation responses, action plans, and potential losses and damages in the region. It also proposes actionable recommendations based on the main gaps found and presents a case study of the Central American Dry Corridor, one of the climate change and underdevelopment hotspots of the region. We finish with a discussion highlighting the importance of considering system transitions perspectives and the need to plan and implement more transformational adaptation approaches to reduce further losses and damages and to further address adaptation gaps in Central America.
C1 [Ley, Debora] Comis Econ Amer Latina & Carib, Mexico City, Mexico.
   [Bolanos, Tania Guillen] Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GERICS, Hamburg, Germany.
   [Bolanos, Tania Guillen] Univ Hamburg, Inst Geog, Res Grp Climate Change & Secur, Hamburg, Germany.
   [Castaneda, Antonethe] United Nations Educ Sci & Cultural Org UNESCO Chai, Guatemala City, Guatemala.
   [Hidalgo, Hugo G.; Fernandez, Rodrigo] Univ Costa Rica, Escuela Fis, Ctr Invest Geofis CIGEFI, San Jose, Costa Rica.
   [Hidalgo, Hugo G.; Pignot, Pascal O. Girot] Univ Costa Rica, Ctr Invest Matemat Pura & Aplicada CIMPA, Ciudad Invest, San Jose, Costa Rica.
   Univ Costa Rica, Escuela Geog, San Jose, Costa Rica.
   [Fernandez, Rodrigo] Independent Sch Greater Washington, Washington, DC USA.
   [Alfaro, Eric J.] Univ Costa Rica, Ctr Invest Ciencias Mar & Limnol CIMAR, Ciudad Invest, San Jose, Costa Rica.
   [Castellanos, Edwin J.] Univ Valle Guatemala, Ctr Estudios Ambientales & Biodiversidad, Guatemala City, Guatemala.
C3 Helmholtz Association; Helmholtz-Zentrum Hereon; University of Hamburg;
   Universidad Costa Rica; Universidad Costa Rica; Universidad Costa Rica;
   Universidad Costa Rica; Universidad del Valle de Guatemala
RP Ley, D (corresponding author), Comis Econ Amer Latina & Carib, Mexico City, Mexico.
EM debbieannley@yahoo.com
RI Hidalgo, Hugo/I-7170-2019; Alfaro, Eric/AAV-3131-2021; Guillen Bolanos,
   Tania/KYC-2240-2024
OI Guillen Bolanos, Tania/0000-0003-4601-7783
FU Vicerrectoria de Investigacion, Universidad de Costa Rica [B9454, A1715,
   B0-810, A5719, C2103, C3721, C3991, A4906]; Climate Service Center
   Germany (GERICS); Helmholtz-Zentrum Hereon, Germany
FX HH and EA wish to acknowledge the support they received for this
   research through the following Vicerrectoria de Investigacion,
   Universidad de Costa Rica, projects: B9454 (supported by Fondo de
   Grupos), A1715, B0-810, A5719, C2103, C3721, C3991, and A4906 (PESCTMA).
   TG acknowledges the support for this research by the Climate Service
   Center Germany (GERICS), Helmholtz-Zentrum Hereon, Germany.
CR Zuñiga RAA, 2021, CURR OPIN ENV SUST, V50, P215, DOI 10.1016/j.cosust.2021.04.011
   ACICAFOC, 2009, Guia adaptada
   Acuña FH, 2020, REV BIOL TROP, V68, P283, DOI 10.15517/rbt.v68is1.41191
   Agache I, 2022, ALLERGY, V77, P1389, DOI 10.1111/all.15229
   Aide TM, 2004, SCIENCE, V305, P1915, DOI 10.1126/science.1103179
   Alatorre J., 2022, Impactos macroeconomicos del cambio climatico en America Latina y el Caribe: revision de la literatura, 2010-2021. Santiago
   Alfaro E., 2020, Cambio Climatico y Riesgos Hidrometeorologicos, P3
   Alfaro-Córdoba M, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11040427
   Allen TR, 2019, PUBLIC WORKS MANAG P, V24, P110, DOI 10.1177/1087724X18798380
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P1, DOI 10.1007/s41748-021-00199-5
   Amador J.A., 1998, TPICOS METEOROLGICOS, V5, P91, DOI DOI 10.1196/ANNALS.1446.012
   Amador JA, 2006, PROG OCEANOGR, V69, P101, DOI 10.1016/j.pocean.2006.03.007
   Amador JA, 2008, ANN NY ACAD SCI, V1146, P153, DOI 10.1196/annals.1446.012
   Anchukaitis KJ, 2010, P NATL ACAD SCI USA, V107, P5036, DOI 10.1073/pnas.0908572107
   [Anonymous], 2019, The state of food and agriculture, moving forward on food loss and waste reduction
   [Anonymous], 2010, InterSedes
   [Anonymous], 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P2539, DOI [10.1017/9781009325844.026, DOI 10.1017/9781009325844.026]
   Araya MAL, 2023, ENTORNO GEOGR, DOI 10.25100/eg.v0i25.11903
   Arciniega-Esparza S., 2020, Hydrological simulations for Costa Rica from 1985 to 2019 using HYPE CR 1, 0
   Avedano C., 2019, Working Paper.
   Baez J, 2017, AM ECON REV, V107, P446, DOI 10.1257/aer.p20171053
   Bakhtsiyarava M, 2023, SOC SCI MED, V317, DOI 10.1016/j.socscimed.2022.115526
   Balsari S, 2020, CURR ENV HLTH REP, V7, P404, DOI 10.1007/s40572-020-00291-4
   Barcena Ibarra A., 2018, The climate emergency in Latin America and the Caribbean: The path ahead-resignation or action? Santiago, Chile
   Barragan-Jason G, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12852
   Baumann MD, 2020, INT J AGR SUSTAIN, V18, P300, DOI 10.1080/14735903.2020.1775930
   BCIE, 2020, Estrategia Institucional BCIE, 2020-2024. Tegucigalpa: BCIE
   Bello O., 2021, Evaluacion de los efectos e impactos de las depresiones tropicales Eta y Iota en Guatemala. Comision Economica para America Latina y el Caribe (CEPAL)
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bolanos T.G., 2018, EC TOOLS METHODS ANA, P165, DOI [10.1007/978-3-319-99462-8_10, DOI 10.1007/978-3-319-99462-8_10]
   Caminade C, 2019, ANN NY ACAD SCI, V1436, P157, DOI 10.1111/nyas.13950
   Castellanos E., 2022, Climate Change 2022-Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P1689, DOI [DOI 10.1017/9781009325844.014, 10.1017/9781009325844.014, DOI 10.1017/9781009325844, 10.1017/9781009325844.014.1689]
   Castellanos E.J., 2022, PLOS Climate, V1, pe0000105
   CATHALAC, 2008, Poblados susceptibles a inundaciones en Costa Rica y Panama. 32
   Cattaneo C, 2019, REV ENV ECON POLICY, V13, P189, DOI 10.1093/reep/rez008
   Caviedes V, 2020, OCEAN COAST MANAGE, V186, DOI 10.1016/j.ocecoaman.2020.105114
   Centella-Artola A, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11121334
   Center for New Economy, 2015, Annual report
   CEPAL, 2021, Estadisticas del subsector electrico de los paises del Sistema de la Integracion Centroamericana (SICA)
   CEPAL, 2015, Climate Change in Central America
   Chinchilla G., 2017, Topicos Meteorologicos y Oceanograficos, V16, P48
   CICA, 2015, Estrategia regional del CICA cambio climatico y pueblos indigenas en centroamerica. San Salvador; 51
   CMAR, 2019, Plan de Accion Corredor Marino del Pacifico Este Tropical (CMAR) 2019-2024. 46
   Contreras R., 2008, The potential impact of climate change on the energy sector in the Caribbean region. Department of Sustainable Development Organization of American States; 17
   Corwin DL, 2021, EUR J SOIL SCI, V72, P842, DOI 10.1111/ejss.13010
   de Coninck H., 2018, Global Warming of 1.5C. An IPCC, P313, DOI 10.1017/9781009157940.006
   de Lacerda LD, 2019, AQUAT CONSERV, V29, P1347, DOI 10.1002/aqc.3119
   de Sousa K, 2018, J RURAL STUD, V64, P11, DOI 10.1016/j.jrurstud.2018.09.018
   del Valle A, 2020, P NATL ACAD SCI USA, V117, P265, DOI 10.1073/pnas.1911617116
   Demerutis J. A., 2022, The Routledge Handbook of Urban Studies in Latin America and the Caribbean: Cities, Urban Processes, DOI [10.4324/9781003132622-18, DOI 10.4324/9781003132622-18]
   Depsky N, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abc5e2
   Diaz Bolanos R. E., 2019, Anuario De Estudios Centroamericanos, V45, P26, DOI 10.15517/aeca.v45i0.40697
   Donatti CI, 2019, CLIM DEV, V11, P264, DOI 10.1080/17565529.2018.1442796
   Durán-Quesada AM, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090959
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   ECLAC, 2010, The Economics of Climate Change in Central America: Summary 2010. Mexico City: ECLAC 146
   ECLAC/FAO, 2018, Atlas of migration in Northern Central America
   Quesada-Hernandez LE, 2019, PROG PHYS GEOG, V43, P627, DOI 10.1177/0309133319860224
   Enfield DB, 1999, J CLIMATE, V12, P2093, DOI 10.1175/1520-0442(1999)012<2093:TDOCRO>2.0.CO;2
   Enfield DB, 2001, GEOPHYS RES LETT, V28, P2077, DOI 10.1029/2000GL012745
   European Commission, 2019, Progress on Climate Action in Latin America: Nationally Determined Contributions as of 2019 Brussels (p. 180), DOI [10.2841/318319, DOI 10.2841/318319]
   Ewbank R, 2019, DISASTERS, V43, pS345, DOI 10.1111/disa.12340
   Fallas-Lopez B., 2012, Revista de Climatologia, V12, P61
   Feeley KJ, 2013, GLOBAL CHANGE BIOL, V19, P3472, DOI 10.1111/gcb.12300
   Fernandez W., 1996, Revista Geofisica, V44, P57
   Froehlich HES, 2022, AQUACULTURE, V549, DOI 10.1016/j.aquaculture.2021.737812
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   García-Franco JL, 2023, CLIM DYNAM, V60, P549, DOI 10.1007/s00382-022-06338-6
   Garcia-Solera I., 2012, The Climate Services Partnership, V8
   Garro-Quesada MD, 2023, CLIMATE, V11, DOI 10.3390/cli11060127
   Gencer E., 2013, An Overview of Urban Vulnerability to Natural Disasters and Climate Change in Central America the Caribbean Region, DOI DOI 10.2139/SSRN.2334068
   GFLAC, 2023, I ndice de Finanzas Sostenibles
   GILL AE, 1980, Q J ROY METEOR SOC, V106, P447, DOI 10.1002/qj.49710644905
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Gotlieb Y., 2019, "Yu'am" Rev. Mesoam. Biodivers. y Cambio. Climatico
   Gotlieb Y, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2019.104351
   Grüter R, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0261976
   Bolaños TG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095350
   Guzman S., 2017, Toward Implementation The 2017 AdaptationWatch Report
   Guzman S., 2022, Indice de Finanzas Sostenibles. Informe de resultados del Indice de Finanzas Sostenibles para America Latina y el Caribe 2022 (con datos a 2021). Una mirada al estado de las finanzas sostenibles en la region
   Hagen I, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5271
   Hannah L, 2017, CLIMATIC CHANGE, V141, P29, DOI 10.1007/s10584-016-1867-y
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   Hastenrath S., 1991, Climate dynamics of the tropics
   Hidalgo H., 2022, Future Changes in Simulated Streamflow in Costa Rica from CMIP6 climate models. 16
   Hidalgo HG, 2017, CLIMATIC CHANGE, V141, P13, DOI 10.1007/s10584-016-1786-y
   Hidalgo H. G., 2023, Hydrol. Res. Lett
   Hidalgo HG, 2021, REV BIOL TROP, V69, pS60, DOI [10.15517/rbt.v69is2.48307, 10.15517/rbt.v69iS2.48307]
   Hidalgo HG, 2021, FRONT WATER, V2, DOI 10.3389/frwa.2020.632739
   Hidalgo HG, 2019, CLIM DYNAM, V53, P1307, DOI 10.1007/s00382-019-04638-y
   Hidalgo HG, 2015, INT J CLIMATOL, V35, P3397, DOI 10.1002/joc.4216
   Hidalgo HG, 2015, GEOGR ANN A, V97, P41, DOI 10.1111/geoa.12085
   Hidalgo HG, 2013, J HYDROL, V495, P94, DOI 10.1016/j.jhydrol.2013.05.004
   Hidalgo HG, 2012, PROG PHYS GEOG, V36, P379, DOI 10.1177/0309133312438906
   Hodson de Jaramillo E., 2023, Science and Innovations for Food Systems Transformation, P737
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Hoegh-Guldberg O., 2018, Global Warming of 1.5C. An IPCC Special Report on the impacts of global warming of 1.5C above pre-industrial levels and related, P138
   Hoffmann R, 2020, NAT CLIM CHANGE, V10, P904, DOI 10.1038/s41558-020-0898-6
   ICSF, 2016, Small-Scale Fishing in Central American Indigenous People: Governance
   Imbach P, 2017, CLIMATIC CHANGE, V141, P1, DOI 10.1007/s10584-017-1920-5
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Internal Displacement Monitoring Centre, 2023, Global Report on Internal Displacement 2023: Internal Displacement and Food Security
   IPCC, 2018, An IPCC Special Report on the Impacts of Global Warming of 1.5C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, P616, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   IPCC, 2023, Climate Change 2023: Summary for Policymakers, DOI DOI 10.59327/IPCC/AR6-9789291691647.001
   Jaramillo S, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.437086
   Jat ML, 2016, ADV AGRON, V137, P127, DOI 10.1016/bs.agron.2015.12.005
   Kaczan DJ, 2020, CLIMATIC CHANGE, V158, P281, DOI 10.1007/s10584-019-02560-0
   Kaenzig R, 2014, GLOB MIGRAT ISS, V2, P155, DOI 10.1007/978-94-007-6985-4_7
   Kappelle M., 2007, Paramos de Costa Rica. 95-7
   Keller DP, 2018, GEOSCI MODEL DEV, V11, P1133, DOI 10.5194/gmd-11-1133-2018
   Kjellstrom T, 2011, INT J OCCUP ENV HEAL, V17, P270, DOI 10.1179/oeh.2011.17.3.270
   Laderach P., 2021, CGIAR
   LEDS LAC, 2023, LEDSenLAC 2022: Hacia un desarrollo bajo en emisiones y resiliente al clima en Latinoamerica y el Caribe: Avances en las estrategias nacionales
   Lelieveld J, 2019, P NATL ACAD SCI USA, V116, P7192, DOI 10.1073/pnas.1819989116
   Ley D., 2017, Evaluating Climate Change Action for Sustainable Development, P187, DOI [DOI 10.1007/978-3-319-43702-6, 10.1007/978-3-319-43702-6_11, DOI 10.1007/978-3-319-43702-6_11, DOI 10.1007/978-3-31943702-6]
   Liu XC, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002567
   Araya MAL, 2020, GEOFOCUS-REV INT CIE, P3, DOI 10.21138/GF.656
   Lizano R Omar G., 2013, InterSedes, V14, P06
   Lizano-Araya MA, 2022, REV GEOGR AM CENT, P103, DOI 10.15359/rgac.68-1.4
   Lyra A, 2017, CLIMATIC CHANGE, V141, P93, DOI 10.1007/s10584-016-1790-2
   Maestro M, 2019, OCEAN COAST MANAGE, V171, P28, DOI 10.1016/j.ocecoaman.2019.01.008
   Magaña V, 1999, J CLIMATE, V12, P1577, DOI 10.1175/1520-0442(1999)012<1577:TMDOMA>2.0.CO;2
   Mahlknecht J, 2020, ENERGY, V194, DOI 10.1016/j.energy.2019.116824
   Maldonado T, 2018, REV BIOL TROP, V66, pS153
   Maldonado T, 2016, 3RD INTERNATIONAL CONFERENCE ON EL NINO, P35, DOI 10.5194/adgeo-42-35-2016
   Manes S, 2021, BIOL CONSERV, V257, DOI 10.1016/j.biocon.2021.109070
   Marcillo CE, 2020, WATER PRACT TECHNOL, V15, P374, DOI 10.2166/wpt.2020.025
   Menéndez P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61136-6
   Meza-Herrera CA, 2022, SMALL RUMINANT RES, V211, DOI 10.1016/j.smallrumres.2022.106676
   MIDEPLAN, 2019, COSTA RICA: Impacto de los Fenomenos Naturales para el periodo 1988-2018, por sectores, provincias
   Miranda M., 2003, The social impacts of payments for environmental services in Costa Rica: A quantitative field survey and analysis of the Virilla watershed
   Miranda-Chacon Z., 2023, Policy brief for Costa Rica 2023 The Lancet Countdown on Health and Climate Change. 8
   Miranda-Chacon Z., 2021, Policy brief for Costa Rica (Informe de Politicas para Costa Rica) 2021. The Lancet Countdown on Health and Climate Change
   Montaña E, 2016, REG ENVIRON CHANGE, V16, P2215, DOI 10.1007/s10113-015-0888-9
   Mora N, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11121333
   Moreno AR, 2006, REG ENVIRON CHANGE, V6, P157, DOI 10.1007/s10113-006-0015-z
   Moreno J. M., 2020, Informe RIOCCADAPT
   Moreno M.L., 2019, REV IBEROAMERICANA E, V30, P16
   Muñoz E, 2008, J CLIMATE, V21, P1260, DOI 10.1175/2007JCLI1855.1
   Nagy GJ, 2019, REG STUD MAR SCI, V29, DOI 10.1016/j.rsma.2019.100683
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Nawrotzki RJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114023
   Neumann VA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010230
   Ocko IB, 2019, ENVIRON SCI TECHNOL, V53, P14070, DOI 10.1021/acs.est.9b05083
   Ortiz DI, 2022, INSECTS, V13, DOI 10.3390/insects13010020
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0003
   Pascale S, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03228-4
   Peña-Guzmán C, 2019, J ENVIRON MANAGE, V237, P408, DOI 10.1016/j.jenvman.2019.02.100
   Perdigón-Morales J, 2018, INT J CLIMATOL, V38, P2174, DOI 10.1002/joc.5322
   Perez-Briceno P. M., 2021, Rev. Geografica Chile. Terra Aust, V1, P96, DOI [10.23854/07199562.2021571esp.Lizano96, DOI 10.23854/07199562.2021571ESP.LIZANO96]
   Pérez-Briceño PM, 2016, REV CLIMATOL, V16, P63
   Pörtner HO, 2023, SCIENCE, V380, DOI 10.1126/science.abl4881
   Pons D., 2018, Rev. Mesoam. Biodiv. y Cambio Climatico
   Pons D, 2021, WEATHER FORECAST, V36, P2021, DOI 10.1175/WAF-D-20-0133.1
   Programa Estado de la Nacion, 2021, Sexto Estado de la Region
   Programa Estado de la Nacion, 2013, Estado de la Nacion en desarrollo humano sostenible. Pavas; 434
   Quesada-Hernandez L., 2019, Respuesta de la hidrologia superficial de la cuenca del rio Tempisque a la variabilidad climatica y cambio de cobertura de la tierra. Universidad de Costa Rica
   Quesada-Hernández Luis Eduardo, 2020, Ciencias Ambientales, V54, P16, DOI 10.15359/rca.54-1.2
   Quesada-Montano B, 2019, THEOR APPL CLIMATOL, V137, P2125, DOI 10.1007/s00704-018-2730-z
   Quesada-Román A, 2022, ENVIRON SCI POLICY, V133, P98, DOI 10.1016/j.envsci.2022.03.012
   Quiros E., 2016, Topicos Meteorologicos y Oceanograficos, V15, P33
   Quiros E., 2016, Topicos Meteorologicos y Oceanograficos, V15, P21
   Ranasinghe R., 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, P1767, DOI [DOI 10.1017/9781009157896.014, 10.1017/9781009157896.014]
   Ray DK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217148
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Rosa L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7408
   Sáenz F, 2023, INT J CLIMATOL, V43, P197, DOI 10.1002/joc.7745
   Sandoval V., 2020, Int. J. Disast. Resp. Emerg. Manage, V3, P16, DOI [10.4018/IJDREM.2020010103, DOI 10.4018/IJDREM.2020010103]
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Schyns JF, 2019, P NATL ACAD SCI USA, V116, P4893, DOI 10.1073/pnas.1817380116
   Segura L. D., 2022, Climate change adaptation in Central America: A review of the national policy efforts. Lat Am Policy, DOI [10.1111/lamp.12277, DOI 10.1111/LAMP.12277]
   Sheffield PE, 2013, IND HEALTH, V51, P123, DOI 10.2486/indhealth.2012-0156
   SINAC, 2013, Analisis de vulnerabilidad al cambio climatico de las areas silvestres protegidas terrestres. San Jose; 76
   Singh A, 2020, J APPL AQUACULT, V32, P250, DOI 10.1080/10454438.2019.1615594
   Singh C, 2020, CLIMATIC CHANGE, V162, P255, DOI 10.1007/s10584-020-02762-x
   Steinhoff DF, 2015, CLIM DYNAM, V44, P1329, DOI 10.1007/s00382-014-2196-3
   Stewart IT, 2022, INT J CLIMATOL, V42, P1399, DOI 10.1002/joc.7310
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor MA., 2005, ENCY WORLD CLIMATOLO, P183, DOI [10.1007/1-4020-3266-8_37, DOI 10.1007/1-4020-3266-8_37]
   Thomas A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01808-9
   Ugalde K., 2022, Estudio de inicio y termino de la estacion lluviosa en el pacifico norte de Costa Rica en el periodo 1950-2020
   Umaña G, 2014, REV BIOL TROP, V62, P567, DOI 10.15517/rbt.v62i2.8446
   UNDRR, 2021, Annual report 2021
   UNEP, 2021, Adaptation Gap Report 2021: The Gathering Storm-Adapting to Climate Change in a Post-Pandemic World
   UNEP/SEI, 2020, The discrepancy between countries' planned fossil fuel production and global production levels consistent with limiting warming to 1.5
   UNFCC, 2015, Synthesis report on the aggregate effect of the intended nationally determined contributions. Bonn
   UNFCCC, 2023, Submitted NAPs
   United Nations Climate Change, 2022, Payments for Environmental Services Program | Costa Rica. Payments for Environmental Services Program
   Veas-Ayala N, 2018, REV BIOL TROP, V66, P1436, DOI 10.15517/rbt.v66i4.31477
   Vega-Garcia H., 2004, Migracion ambiental inducida por variabilidad climatica y su tratamiento en las politicas publicas regionales: el corredor centroamericano de la sequia. Universidad Nacional
   Viviroli D, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005653
   Vsquez A., 2019, URBAN CLIMATES LATIN, P329, DOI [10.1007/978-3-319-97013-413, DOI 10.1007/978-3-319-97013-4_13]
   Wallman D, 2018, ENVIRON ARCHAEOL, V23, P1, DOI 10.1080/14614103.2017.1370857
   Wang CZ, 2007, CLIM DYNAM, V29, P411, DOI 10.1007/s00382-007-0243-z
   WCRP, 2015, Region 2: Central America
   WFP, 2017, Food Security and Emigration: Why People Flee and the Impact on Family Members Left Behind in El Salvador, Guatemala and Honduras
   WMO, 2022, STATE CLIMATE LATIN
   World Bank, 2021, Nicaragua-Hurricanes Eta and Iota Emergency Response Project
   Wrathall DJ, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102098
   Wright G, 2021, MAR POLICY, V132, DOI 10.1016/j.marpol.2018.12.003
   Yalew SG, 2020, NAT ENERGY, V5, P794, DOI 10.1038/s41560-020-0664-z
   Yglesias-González M, 2022, LANCET REG HEALTH-AM, V11, DOI 10.1016/j.lana.2022.100248
   Zarate-Hernandez E., 2013, TOP METEOROL OCEANOG, V12, P35
   Zhang MZ, 2024, CLIM DYNAM, V62, P4475, DOI 10.1007/s00382-022-06355-5
NR 208
TC 4
Z9 5
U1 5
U2 8
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 NOV 24
PY 2023
VL 5
AR 1215062
DI 10.3389/fclim.2023.1215062
PG 23
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA AM8F5
UT WOS:001118967400001
OA gold
DA 2025-01-10
ER

PT J
AU Rondeau, RJ
   Austin, G
   Miller, RS
   Parker, S
   Breibart, A
   Conner, S
   Neely, E
   Seward, NW
   Vasquez, MG
   Zeedyk, WD
AF Rondeau, Renee J.
   Austin, Gay
   Miller, Rachel S.
   Parker, Suzann
   Breibart, Andrew
   Conner, Shawn
   Neely, Elizabeth
   Seward, Nathan W.
   Vasquez, Matthew G.
   Zeedyk, William D.
TI Restoration of wet meadows to enhance Gunnison sage-grouse habitat and
   drought resilience in arid rangelands
SO RESTORATION ECOLOGY
LA English
DT Article
DE climate-adaptation; sagebrush; vegetation monitoring; wetlands; Zeedyk
   structures
ID COMMUNITIES
AB The arid sagebrush landscape of the Gunnison Basin, Colorado is home to the federally threatened Gunnison sage-grouse (GUSG; Centrocercus minimus) and is expected to become hotter and drier with a changing climate. Wet meadows within the sagebrush ecosystem are a critical lifeline for wildlife and livestock, particularly during drought years, yet they occupy less than 2% of the landscape. Our objective was to enhance wet meadow drought resiliency by slowing the water down, reconnecting floodplains, and increasing wetland vegetation. Indirectly we also aimed to enhance GUSG habitat and improve rangeland condition. Between 2012 and 2020, we constructed nearly 900 low-tech restoration structures (Zeedyk structures), across seven drainageways with wet meadows. Six of these years were drought years. We used a before-after-control-impact design to assess vegetation response. Vegetation data were collected on 135 randomly selected treated and 30 control transects. We found that 75% of ephemeral units and all of perennial units achieved or surpassed the wetland plant cover management goal of a 4% yearly increase. This led to an average enhancement of 40% in wetland plant cover in the treated drainageways. There was a significant positive difference between treated and control transects in 50% of the drainageways, regardless of hydroperiod status. The low-tech restoration structures were effective at rewetting perennial and ephemeral wet meadows within the arid landscape, even during a megadrought, and reduced non-native invasive weeds in all but one of the treated units. Forbs and grasses critical to sage-grouse and important to livestock operations increased in 67% of the units.
C1 [Rondeau, Renee J.] Colorado State Univ, Colorado Nat Heritage Program, Ft Collins, CO 80523 USA.
   [Austin, Gay; Miller, Rachel S.; Breibart, Andrew] Bur Land Management, Gunnison, CO 81230 USA.
   [Parker, Suzann] US Forest Serv, Gunnison, CO 81230 USA.
   [Conner, Shawn] Biologic, Montrose, CO 81401 USA.
   [Neely, Elizabeth] Nature Conservancy, Boulder, CO 80302 USA.
   [Seward, Nathan W.] Colorado Pk & Wildlife, Gunnison, CO 81230 USA.
   [Zeedyk, William D.] Zeedyk Ecol Consulting LLC, Sapello, NM 87745 USA.
C3 Colorado State University; United States Department of Agriculture
   (USDA); United States Forest Service; Nature Conservancy
RP Rondeau, RJ (corresponding author), Colorado State Univ, Colorado Nat Heritage Program, Ft Collins, CO 80523 USA.
EM renee.rondeau@colostate.edu
OI Rondeau, Renee/0009-0008-3015-5552
FU Wet Meadow Coordinators; Western Colorado Conservation Corps; Colorado
   Water Conservation Board, Great Outdoors Colorado, National Fish and
   Wildlife Foundation; Terra Foundation; Wildlife Conservation Society
FX This project was a collaborative project that included federal, state,
   and nongovernment organizations (BLM, NRCS, NPS, USFS, CPW, TNC, and
   CNHP) and private landowners (C. Allen, B. Redden, T. Harter-M. Ranches,
   R. Wilderson). Wet Meadow Coordinators, F. Kugel, C. Cwelich, T. Grant,
   P. Jones, and staff at Upper Gunnison River Water Conservancy District
   were critical to overall project management. J. Cochran's support from
   Gunnison County was critical. The authors would like to thank the
   Western Colorado University professors P. Magee and J. Coop and their
   students, Western Colorado Conservation Corps, High Country Citizen
   Alliance interns and volunteers, and Colorado Mountain College students
   who helped construct structures and monitor vegetation. Special thanks
   to the Wildland Restoration Volunteers and agency technicians who
   assisted during restoration construction and vegetation data collection.
   Special gratitude to J. Frey, J. Stone, and B. Vasquez who provided
   critical support during restoration planning, design, and construction.
   We thank all of our funders: Bureau of Land Management, Colorado Parks
   and Wildlife, Colorado Water Conservation Board, Great Outdoors
   Colorado, National Fish and Wildlife Foundation, Terra Foundation, The
   Nature Conservancy, U.S. Forest Service, Upper Gunnison River Water
   Conservancy District, Wildlife Conservation Society.
CR Abatatzoglou JT, 2017, B AM METEOROL SOC, V98, P1815, DOI 10.1175/BAMS-D-16-0193.1
   Anderson BW., 1977, POPULATION FLUCTUATI, DOI [10.1007/BF02223314, DOI 10.1007/BF02223314]
   ANDERSON EW, 1973, J RANGE MANAGE, V26, P87, DOI 10.2307/3896457
   Bureau of Land Management, 2023, 17353 BUR LAND MAN U
   CANFIELD R. H., 1941, JOUR FOREST, V39, P388
   Carothers SW., 1977, IMP PRES MAN RIP HAB
   Chambers JC., 2021, RMRSGTR426 USDA FOR, DOI [10.2737/RMRS-GTR-426, DOI 10.2737/RMRS-GTR-426]
   Colorado Climate Center, 2020, ABOUT US
   CONNELLY JW, 1983, J WILDLIFE MANAGE, V47, P169, DOI 10.2307/3808063
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Davis AJ, 2015, J AVIAN BIOL, V46, P186, DOI 10.1111/jav.00473
   Donnelly JP, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1208
   DRUT MS, 1994, J RANGE MANAGE, V47, P90, DOI 10.2307/4002848
   Fischer RA, 1996, J RANGE MANAGE, V49, P194, DOI 10.2307/4002877
   Gunnison Sage-Grouse Rangewide Steering Committee, 2005, GUNN SAG GROUS RANG
   Haddad NM, 2001, AM NAT, V158, P17, DOI 10.1086/320866
   Knapp Corrine., 2011, Connected to the land: social resilience and vulnerability assessment of land‐based livelihoods in the Gunnison Basin, Colorado. The Nature Conservancy. Gunnison Climate Change Working Group, Gunnison
   Krueper D.J., 1993, General Technical Report RM-43
   Krueper D.J., 1995, Desired Future Conditions for Southwestern Riparian Ecosystems: Bringing Interests and Concerns Together
   Levick LR., 2008, The ecological and hydrological significance of ephemeral and intermittent streams in the arid and semi-arid American Southwest
   Meitzen KM, 2013, GEOMORPHOLOGY, V200, P143, DOI 10.1016/j.geomorph.2013.03.013
   Neely B., 2011, Gunnison Basin Climate Change Vulnerability Assessment
   Norman LM, 2022, SCI TOTAL ENVIRON, V849, DOI 10.1016/j.scitotenv.2022.157738
   PETERSON J G, 1970, Journal of Wildlife Management, V34, P147, DOI 10.2307/3799502
   Pokhrel Y, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00972-w
   Prather RM, 2020, ECOLOGY, V101, DOI 10.1002/ecy.3033
   Remington T.E., 2021, Sagebrush Conservation Strategy - Challenges to Sagebrush Conservation, P327, DOI DOI 10.3133/OFR20201125
   Siemann E, 1998, ECOLOGY, V79, P2057, DOI 10.1890/0012-9658(1998)079[2057:ETOEOP]2.0.CO;2
   Silverman NL, 2019, RESTOR ECOL, V27, P269, DOI 10.1111/rec.12869
   Smith P., 2020, Revision of Colorado's Floristic Quality Assessment Indices (Issue December)
   Stasiak J., 1994, EKOLOGIA POLSKA, V42, P173
   U.S. Fish and Wildlife Service, 2014, FED REGISTER, V79, P69311
   [ USDA-NRCS] U.S. Department of Agriculture-Natural Resources Conservation Service, 2020, PLANTS DAT
   Wahl ER, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00532-4
   Wheaton Joseph., 2019, Low-Tech Process-Based Restoration of Riverscapes: Design Manual, DOI DOI 10.13140/RG.2.2.19590.63049/2
   Whiles MR, 2005, WETLANDS, V25, P462, DOI 10.1672/20
   Williams AP, 2022, NAT CLIM CHANGE, V12, P232, DOI 10.1038/s41558-022-01290-z
   Wilson NR, 2023, ENVIRON MANAGE, V71, P921, DOI 10.1007/s00267-022-01762-0
   Zeedyk B., 2012, LET WATER DO WORK IN
   Zeedyk B, 2009, An introduction to induced meandering: a method for restoring stability to incised stream channels
NR 40
TC 2
Z9 2
U1 3
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1061-2971
EI 1526-100X
J9 RESTOR ECOL
JI Restor. Ecol.
PD FEB
PY 2024
VL 32
IS 2
SI SI
DI 10.1111/rec.14039
EA OCT 2023
PG 13
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GT4C9
UT WOS:001089407900001
OA hybrid
DA 2025-01-10
ER

PT J
AU White, OW
   Biswas, MK
   Abebe, WM
   Dussert, Y
   Kebede, F
   Nichols, RA
   Buggs, RJA
   Demissew, S
   Woldeyes, F
   Papadopulos, AST
   Schwarzacher, T
   Heslop-Harrison, PJS
   Wilkin, P
   Borrell, JS
AF White, Oliver W.
   Biswas, Manosh Kumar
   Abebe, Wendawek M.
   Dussert, Yann
   Kebede, Firew
   Nichols, Richard A.
   Buggs, Richard J. A.
   Demissew, Sebsebe
   Woldeyes, Feleke
   Papadopulos, Alexander S. T.
   Schwarzacher, Trude
   Heslop-Harrison, Pat J. S.
   Wilkin, Paul
   Borrell, James S.
TI Maintenance and expansion of genetic and trait variation following
   domestication in a clonal crop
SO MOLECULAR ECOLOGY
LA English
DT Article
DE agrobiodiversity; clonal evolution; domestication; Ensete ventricosum;
   Ethiopia; food security; genotyping-by-sequencing; tGBS
ID MANIHOT-ESCULENTA CRANTZ; STAPLE FOOD CROP; ENSETE-VENTRICOSUM;
   POPULATION-GENETICS; R-PACKAGE; GENOME; EVOLUTION; RESISTANCE;
   DIVERSITY; SELECTION
AB Clonal propagation enables favourable crop genotypes to be rapidly selected and multiplied. However, the absence of sexual propagation can lead to low genetic diversity and accumulation of deleterious mutations, which may eventually render crops less resilient to pathogens or environmental change. To better understand this trade-off, we characterize the domestication and contemporary genetic diversity of Enset (Ensete ventricosum), an indigenous African relative of bananas (Musa) and a principal starch staple for 20 million Ethiopians. Wild enset reproduction occurs strictly by sexual outcrossing, but for cultivation, it is propagated clonally and associated with diversification and specialization into hundreds of named landraces. We applied tGBS sequencing to generate genome-wide genotypes for 192 accessions from across enset's cultivated distribution, and surveyed 1340 farmers on enset agronomic traits. Overall, reduced heterozygosity in the domesticated lineage was consistent with a domestication bottleneck that retained 37% of wild diversity. However, an excess of putatively deleterious missense mutations at low frequency present as heterozygotes suggested an accumulation of mutational load in clonal domesticated lineages. Our evidence indicates that the major domesticated lineages initially arose through historic sexual recombination associated with a domestication bottleneck, followed by the amplification of favourable genotypes through an extended period of clonal propagation. Among domesticated lineages, we found a significant phylogenetic signal for multiple farmer-identified food, nutrition and disease resistance traits and little evidence of contemporary recombination. The development of future-climate adapted genotypes may require crop breeding, but outcrossing risks exposing deleterious alleles as homozygotes. This trade-off may partly explain the ubiquity and persistence of clonal propagation over recent centuries of comparative climate stability.
C1 [White, Oliver W.; Buggs, Richard J. A.; Wilkin, Paul; Borrell, James S.] Royal Bot Gardens Kew, Richmond, England.
   [Biswas, Manosh Kumar; Schwarzacher, Trude; Heslop-Harrison, Pat J. S.] Univ Leicester, Dept Genet & Genome Biol, Leicester, England.
   [Abebe, Wendawek M.; Kebede, Firew] Hawassa Univ, Dept Biol, Hawassa, Ethiopia.
   [Dussert, Yann] Univ Poitiers, CNRS, EBI, Poitiers, France.
   [Dussert, Yann; Nichols, Richard A.; Buggs, Richard J. A.] Queen Mary Univ London, Sch Biol & Behav Sci, London, England.
   [Demissew, Sebsebe] Addis Ababa Univ, Dept Biol, Addis Ababa, Ethiopia.
   [Woldeyes, Feleke] Ethiopian Biodivers Inst, Addis Ababa, Ethiopia.
   [Papadopulos, Alexander S. T.] Univ Bangor, Sch Nat Sci, Bangor, Gwynedd, England.
   [Schwarzacher, Trude; Heslop-Harrison, Pat J. S.] Chinese Acad Sci, Key Lab Plant Resources Conservat & Sustainable Ut, Guangdong Prov Key Lab Appl Bot, South China Bot Garden, Guangzhou, Peoples R China.
   [Borrell, James S.] Royal Bot Gardens, Richmond TW9 3AE, Surrey, England.
C3 Royal Botanic Gardens, Kew; University of Leicester; Hawassa University;
   Centre National de la Recherche Scientifique (CNRS); Universite de
   Poitiers; University of London; Queen Mary University London; Addis
   Ababa University; Bangor University; Chinese Academy of Sciences; South
   China Botanical Garden, CAS; Royal Botanic Gardens, Kew
RP Borrell, JS (corresponding author), Royal Bot Gardens, Richmond TW9 3AE, Surrey, England.
EM j.borrell@kew.org
RI Papadopulos, Alex/AFT-8327-2022; Nichols, Richard/T-4773-2019; Buggs,
   Richard/A-9826-2008
OI W White, Oliver/0000-0001-6444-0310; Buggs, Richard/0000-0003-4495-3738;
   Dussert, Yann/0000-0003-1900-7715; Nichols, Richard
   Alan/0000-0002-4801-9312; Papadopulos, Alexander/0000-0001-6589-754X
FU GCRF Agrisystems award [BB/S014896/1]; GCRF Foundation Awards for Global
   Agricultural and Food Systems Research [BB/P02307X/1]; GCRF I-FLIP grant
   [BB/S018980/1]; BBSRC [BB/S014896/1, BB/S018980/1, BB/P02307X/1] Funding
   Source: UKRI
FX GCRF Agrisystems award, Grant/Award Number: BB/S014896/1; GCRF
   Foundation Awards for Global Agricultural and Food Systems Research,
   Grant/Award Number: BB/P02307X/1; GCRF I-FLIP grant, Grant/Award Number:
   BB/S018980/1
CR Balloux F, 2003, GENETICS, V164, P1635
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Birmeta G, 2002, EUPHYTICA, V124, P315, DOI 10.1023/A:1015733723349
   Blomme G, 2018, FRUITS, V73, P328, DOI 10.17660/th2018/73.6.3
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Borrell JS, 2021, NAT BIOTECHNOL, V39, P1064, DOI 10.1038/s41587-021-01048-6
   Borrell JS, 2020, PLANTS PEOPLE PLANET, V2, P212, DOI 10.1002/ppp3.10084
   Borrell JS, 2019, ANN BOT-LONDON, V123, P747, DOI 10.1093/aob/mcy214
   Brandt S.A., 1997, TREE HUNGER ENSET BA
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Charlesworth B, 2009, COLD SH Q B, V74, P177, DOI 10.1101/sqb.2009.74.015
   Chen LY, 2019, NAT GENET, V51, P1549, DOI 10.1038/s41588-019-0506-8
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   Comeron JM, 2008, HEREDITY, V100, P19, DOI 10.1038/sj.hdy.6801059
   Darriba D, 2020, MOL BIOL EVOL, V37, P291, DOI 10.1093/molbev/msz189
   Denham T, 2020, ANN BOT-LONDON, V125, P581, DOI 10.1093/aob/mcz212
   Dodd RS, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00086
   Dorant Y, 2020, MOL ECOL, V29, P4765, DOI 10.1111/mec.15565
   Doyle J., 1990, Focus, V12, P13
   Elias M, 2000, HEREDITY, V85, P219, DOI 10.1046/j.1365-2540.2000.00749.x
   Eshetae MA, 2021, GEOCARTO INT, V36, P60, DOI 10.1080/10106049.2019.1588392
   Foster TM, 2018, HORTIC RES-ENGLAND, V5, DOI 10.1038/s41438-018-0062-x
   Friis I, 2010, Atlas of the potential vegetation of Ethiopia, V307
   Gezahegn G., 2016, J BIOL AGR HEALTHCAR, V6, P51
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   Haile Befekadu, 2020, Cogent Food & Agriculture, V6, DOI 10.1080/23311932.2020.1773094
   Haile B, 2022, ECON BOT, V76, P382, DOI 10.1007/s12231-022-09553-8
   Halkett F, 2005, TRENDS ECOL EVOL, V20, P194, DOI 10.1016/j.tree.2005.01.001
   Hildebrand E, 2001, BIOL SKRIF, V54, P287
   Hodson DP, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75181-8
   Huson DH, 2006, MOL BIOL EVOL, V23, P254, DOI 10.1093/molbev/msj030
   International Plant Genetic Resources Institute, 1996, DESCR BAN MUS SPP
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Kamvar ZN, 2015, FRONT GENET, V6, DOI 10.3389/fgene.2015.00208
   Karamura D., 2012, Banana cultivar names, synonyms and their usage in East Africa
   Keck F, 2016, ECOL EVOL, V6, P2774, DOI 10.1002/ece3.2051
   Kidane SA, 2021, NEMATOLOGY, V23, P771, DOI 10.1163/15685411-bja10075
   Koch O, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac40b2
   Kozlov AM, 2019, BIOINFORMATICS, V35, P4453, DOI 10.1093/bioinformatics/btz305
   Le Cam S, 2020, EVOL APPL, V13, DOI 10.1111/eva.12837
   Lemoine F, 2018, NATURE, V556, P452, DOI 10.1038/s41586-018-0043-0
   Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Lutteropp S, 2020, BIOINFORMATICS, V36, P2280, DOI 10.1093/bioinformatics/btz874
   Malinsky M, 2021, MOL ECOL RESOUR, V21, P584, DOI 10.1111/1755-0998.13265
   Malinsky M, 2018, MOL BIOL EVOL, V35, P1284, DOI 10.1093/molbev/msy023
   Martin M., 2011, EMBnetJ, V17, P10, DOI DOI 10.14806/EJ.17.1.200
   McKey D, 2010, NEW PHYTOL, V186, P318, DOI 10.1111/j.1469-8137.2010.03210.x
   McSweeney C., 2012, UNDP Climate Change Country Profiles: Senegal
   Meyer RS, 2012, NEW PHYTOL, V196, P29, DOI 10.1111/j.1469-8137.2012.04253.x
   Miller AJ, 2011, AM J BOT, V98, P1389, DOI 10.3732/ajb.1000522
   Münkemüller T, 2012, METHODS ECOL EVOL, V3, P743, DOI 10.1111/j.2041-210X.2012.00196.x
   Muzemil S, 2021, EUR J PLANT PATHOL, V161, P821, DOI 10.1007/s10658-021-02365-x
   Myles S, 2011, P NATL ACAD SCI USA, V108, P3530, DOI 10.1073/pnas.1009363108
   Nguyen Lam-Tung, 2015, Mol Biol Evol, V32, P268, DOI 10.1093/molbev/msu300
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Olango TM, 2014, J ETHNOBIOL ETHNOMED, V10, DOI 10.1186/1746-4269-10-41
   Ott A, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkx853
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rabbi IY, 2015, BMC GENET, V16, DOI 10.1186/s12863-015-0273-1
   Ramu P, 2017, NAT GENET, V49, P959, DOI 10.1038/ng.3845
   Reichel K, 2016, BMC GENET, V17, DOI 10.1186/s12863-016-0388-z
   Ruas M, 2017, DATABASE-OXFORD, V2017, P1, DOI DOI 10.1093/DATABASE/BAX046
   Sardos J, 2008, GENOME, V51, P912, DOI 10.1139/G08-080
   Sardos J, 2016, ANN BOT-LONDON, V118, P1269, DOI 10.1093/aob/mcw170
   Satori D, 2022, PLANTS PEOPLE PLANET, V4, P269, DOI 10.1002/ppp3.10247
   Scarcelli N, 2006, MOL ECOL, V15, P2421, DOI 10.1111/j.1365-294X.2006.02958.x
   Shigeta M., 1990, African Studies Monographs, V10, P93, DOI DOI 10.11501/3086425
   Simmonds NW, 1997, POTATO RES, V40, P191, DOI 10.1007/BF02358245
   Tamrat S, 2022, PLANT BIOLOGY, V24, P482, DOI 10.1111/plb.13390
   Tamrat S, 2020, FOOD RES INT, V137, DOI 10.1016/j.foodres.2020.109636
   Tariku Hunduma Tariku Hunduma, 2015, Journal of Veterinary Science and Technology, V6, P232
   Tesfamicael KG, 2020, HORTIC RES-ENGLAND, V7, DOI 10.1038/s41438-020-00409-7
   Wang JN, 2017, MOL ECOL, V26, P1091, DOI 10.1111/mec.14000
   Wu DY, 2021, TRENDS PLANT SCI, V26, P560, DOI 10.1016/j.tplants.2021.02.003
   Yemataw Z, 2018, DATA BRIEF, V18, P285, DOI 10.1016/j.dib.2018.03.026
   Yemataw Z, 2017, PLANTS-BASEL, V6, DOI 10.3390/plants6040056
   Yemataw Z, 2016, J ETHNOBIOL ETHNOMED, V12, DOI 10.1186/s13002-016-0109-8
   Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
   Zhou YF, 2017, P NATL ACAD SCI USA, V114, P11715, DOI 10.1073/pnas.1709257114
   Zohary D, 2004, ECON BOT, V58, P5, DOI 10.1663/0013-0001(2004)058[0005:USATEO]2.0.CO;2
NR 82
TC 1
Z9 1
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD AUG
PY 2023
VL 32
IS 15
BP 4165
EP 4180
DI 10.1111/mec.17033
EA JUN 2023
PG 16
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA M6YV4
UT WOS:001000666800001
PM 37264989
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Majumdar, R
   Weber, EU
AF Majumdar, Rohini
   Weber, Elke U. U.
TI Multilevel intergroup conflict at the core of climate (in)justice:
   Psychological challenges and ways forward
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
DE climate justice; group processes; inequality; intergroup conflict;
   social identity
ID PLURALISTIC IGNORANCE; ENVIRONMENTAL JUSTICE; SOCIAL-DOMINANCE; RISK
   PERCEPTION; INEQUALITY; GENDER; ANGER; RACE; DIVERSITY; DECISION
AB Although developed countries have been historically responsible for causing climate change, developing countries are more vulnerable to its current and future effects and being asked to commit to levels of climate action that exceed their responsibilities and capabilities. Climate change exacerbates existing social inequities by disproportionately impacting certain groups (including women, racial minorities, and the poor) more than others. Powerful institutions such as the government and the academy have a responsibility to alter this course and advance climate justice but are themselves marred by inequities. Given these disparities, the question of how the burden of climate change mitigation should be justly distributed amongst stakeholders is of paramount importance to international and domestic climate negotiations. Insights from the social identity and group processes literatures explain how experiences of inequity along geographical and sociodemographic dimensions generate identities and groups. As group members, people are sensitive to threats to the ingroup, experience collective emotions on behalf of the group, and differentially apply morality to in- versus outgroups. Members are also incentivized to protect and further their group's interests relative to outgroups. Social psychology offers some promising avenues of research for potential solutions to mitigate the multilevel intergroup conflict posing as a barrier to climate justice. Climate governance recommendations to policymakers and negotiators include incentivizing integrative solutions and fully considering the justice implications of climate policy. Climate scholars are encouraged to pursue interdisciplinary collaborations, improve diversity within the academy and in research samples, and prioritize climate adaptation in developing contexts.This article is categorized under:Climate, History, Society, Culture > Disciplinary PerspectivesClimate, Nature, and Ethics > Climate Change and Global Justice
C1 [Majumdar, Rohini; Weber, Elke U. U.] Princeton Univ, Dept Psychol, Princeton, NJ 08540 USA.
   [Majumdar, Rohini; Weber, Elke U. U.] Princeton Univ, Sch Publ & Int Affairs, Princeton, NJ 08540 USA.
   [Weber, Elke U. U.] Princeton Univ, Andlinger Ctr Energy & Environm, Princeton, NJ 08540 USA.
C3 Princeton University; Princeton University; Princeton University
RP Majumdar, R (corresponding author), Princeton Univ, Dept Psychol, Princeton, NJ 08540 USA.
EM rohinim@princeton.edu
OI Weber, Elke/0000-0002-1678-3631; Majumdar, Rohini/0000-0003-0189-9911
CR Althor G, 2016, SCI REP-UK, V6, DOI 10.1038/srep20281
   [Anonymous], 2014, GLOBAL TUBERCULOSIS
   Argo N., 2015, HDB INT NEGOTIATION, P311, DOI [10.1007/978-3-319-10687-8_23, DOI 10.1007/978-3-319-10687-8]
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Bain PG, 2016, NAT CLIM CHANGE, V6, P154, DOI [10.1038/NCLIMATE2814, 10.1038/nclimate2814]
   Ballew MT, 2019, FRONT COMMUN, V3, DOI 10.3389/fcomm.2018.00058
   Bang HM, 2017, J EXP SOC PSYCHOL, V73, P197, DOI 10.1016/j.jesp.2017.07.006
   Bataille CGF, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.633
   Batel S, 2016, WIRES CLIM CHANGE, V7, P727, DOI 10.1002/wcc.417
   Bechtel MM, 2013, P NATL ACAD SCI USA, V110, P13763, DOI 10.1073/pnas.1306374110
   Berberian AG, 2022, CURR ENV HLTH REP, V9, P451, DOI 10.1007/s40572-022-00360-w
   Bliuc AM, 2015, NAT CLIM CHANGE, V5, P226, DOI [10.1038/nclimate2507, 10.1038/NCLIMATE2507]
   Böhm R, 2020, GAMES-BASEL, V11, DOI 10.3390/g11040042
   Bosetti V, 2022, ENVIRON RESOUR ECON, V81, P743, DOI 10.1007/s10640-022-00648-3
   Brulle RJ, 2006, ANNU REV PUBL HEALTH, V27, P103, DOI 10.1146/annurev.publhealth.27.021405.102124
   Bruneau EG, 2017, SOC PSYCHOL PERS SCI, V8, P934, DOI 10.1177/1948550617693064
   Bullard RD, 2000, J SOC ISSUES, V56, P555, DOI 10.1111/0022-4537.00184
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Cheung-Blunden V, 2008, PEACE CONFL, V14, P123, DOI 10.1080/10781910802017289
   Choi S, 2011, PUBLIC PERS MANAGE, V40, P25, DOI 10.1177/009102601104000103
   Composto JW, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac71b8
   Corner A, 2015, WIRES CLIM CHANGE, V6, P523, DOI 10.1002/wcc.353
   Crimston D, 2016, J PERS SOC PSYCHOL, V111, P636, DOI 10.1037/pspp0000086
   Curnow J, 2018, ENVIRON SOC, V9, P145, DOI 10.3167/ares.2018.090110
   Davidson DJ, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.751
   de Vos B, 2018, GROUP PROCESS INTERG, V21, P533, DOI 10.1177/1368430216674340
   de Vos B, 2013, PERS SOC PSYCHOL B, V39, P1043, DOI 10.1177/0146167213489140
   Devine-Wright P, 2017, GLOBAL ENVIRON CHANG, V47, P110, DOI 10.1016/j.gloenvcha.2017.08.003
   Dietz T, 2018, SOCIOL DEV, V4, P282, DOI 10.1525/sod.2018.4.3.282
   Dietz T, 2018, P NATL ACAD SCI USA, V115, P12334, DOI 10.1073/pnas.1817487115
   Doosje BEJ, 2006, GROUP PROCESS INTERG, V9, P325, DOI 10.1177/1368430206064637
   Eibach RP, 2006, J PERS SOC PSYCHOL, V90, P453, DOI 10.1037/0022-3514.90.3.453
   Ellemers N, 2002, ANNU REV PSYCHOL, V53, P161, DOI 10.1146/annurev.psych.53.100901.135228
   Environmental and Energy Study Institute, 2021, NAT CLIM SOL WIN WIN
   Eom K, 2018, J EXP SOC PSYCHOL, V77, P60, DOI 10.1016/j.jesp.2018.03.009
   Fielding KS, 2016, FRONT PSYCHOL, V7, DOI 10.3389/fpsyg.2016.00121
   Fisher DR, 2019, SOCIOL THEOR, V37, P342, DOI 10.1177/0735275119888247
   FLYNN J, 1994, RISK ANAL, V14, P1101, DOI 10.1111/j.1539-6924.1994.tb00082.x
   Forman F., 2016, Chapter 8. Bending the Curve and Closing the Gap: Climate Justice and Public Health, V2, P1, DOI DOI 10.1525/COLLABRA.67
   Foster S, 2019, ANN NY ACAD SCI, V1439, P126, DOI 10.1111/nyas.14009
   Friedrich J., 2014, The History of Carbon Dioxide Emissions
   Garcia A, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.762
   Geiger N, 2016, J ENVIRON PSYCHOL, V47, P79, DOI 10.1016/j.jenvp.2016.05.002
   GILOVICH T, 1995, PSYCHOL REV, V102, P379, DOI 10.1037/0033-295X.102.2.379
   Goldstein B, 2022, ENERGY RES SOC SCI, V84, DOI 10.1016/j.erss.2021.102365
   Goldstein B, 2020, P NATL ACAD SCI USA, V117, P19122, DOI 10.1073/pnas.1922205117
   Goya-Tocchetto D., 2020, ACAD MANAGEMENT P, V2020
   Halevy N, 2015, CURR OPIN PSYCHOL, V6, P10, DOI 10.1016/j.copsyc.2015.03.006
   Harth NS, 2013, J ENVIRON PSYCHOL, V34, P18, DOI 10.1016/j.jenvp.2012.12.005
   Hugel S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.645
   Intergovernmental Panel on Climate Change, 1996, 2 ASS REP
   Intergovernmental Panel on Climate Change, 2022, Sixth assessment report
   Jenks B, 2010, EVAL PROGRAM PLANN, V33, P186, DOI 10.1016/j.evalprogplan.2009.07.010
   Jetten J, 2020, INT REV SOC PSYCHOL, V33, DOI 10.5334/irsp.356
   Johnson EJ., 2019, Behavioural Public Policy, V3, P159, DOI DOI 10.1017/BPP.2018.43
   Johnson SGB, 2022, J EXP PSYCHOL GEN, V151, P455, DOI 10.1037/xge0001083
   Jones RE, 2006, J BLACK STUD, V36, P473, DOI 10.1177/0021934705280411
   Jost JT, 2019, BRIT J SOC PSYCHOL, V58, P263, DOI 10.1111/bjso.12297
   Jost JT, 2004, POLIT PSYCHOL, V25, P881, DOI 10.1111/j.1467-9221.2004.00402.x
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Knight C, 2014, ENVIRON VALUE, V23, P571, DOI 10.3197/096327114X13947900181635
   Knight C, 2013, ENVIRON POLIT, V22, P410, DOI 10.1080/09644016.2012.740937
   Lawless JL, 2015, ANNU REV POLIT SCI, V18, P349, DOI 10.1146/annurev-polisci-020614-094613
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Macias T, 2016, ETHNICITIES, V16, P111, DOI 10.1177/1468796815575382
   Mackay CML, 2021, CURR OPIN PSYCHOL, V42, P95, DOI 10.1016/j.copsyc.2021.04.009
   Maestre-Andrés S, 2019, CLIM POLICY, V19, P1186, DOI 10.1080/14693062.2019.1639490
   Maibach E.W., 2015, The Francis effect: How Pope Francis changed the conversation about global warming
   Marietta M, 2008, J POLIT, V70, P767, DOI 10.1017/S0022381608080742
   Marietta M, 2009, POLIT COMMUN, V26, P388, DOI 10.1080/10584600903296986
   Mavisakalyan A, 2019, EUR J POLIT ECON, V56, P151, DOI 10.1016/j.ejpoleco.2018.08.001
   Mayrhofer JP, 2016, ENVIRON SCI POLICY, V57, P22, DOI 10.1016/j.envsci.2015.11.005
   McDermott M, 2013, ENVIRON SCI POLICY, V33, P416, DOI 10.1016/j.envsci.2012.10.006
   McKinney LA, 2015, SOC JUSTICE RES, V28, P293, DOI 10.1007/s11211-015-0241-y
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Michael K, 2016, CLIM DEV, V8, P224, DOI 10.1080/17565529.2015.1034235
   Mildenberger M, 2019, BRIT J POLIT SCI, V49, P1279, DOI 10.1017/S0007123417000321
   Müller B, 2001, CLIMATIC CHANGE, V48, P273, DOI 10.1023/A:1010775501271
   Neumayer E, 2000, ECOL ECON, V33, P185, DOI 10.1016/S0921-8009(00)00135-X
   Newell RG, 2010, OXFORD REV ECON POL, V26, P253, DOI 10.1093/oxrep/grq009
   Oswald Y, 2020, NAT ENERGY, V5, P231, DOI 10.1038/s41560-020-0579-8
   Our World in Data, 2020, DAT CO 2 GREENH GAS
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Parayre R, 1995, J ECON BEHAV ORGAN, V28, P417, DOI 10.1016/0167-2681(95)00045-3
   Parry M, 1998, NATURE, V395, P741, DOI 10.1038/27316
   Patterson JJ, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.765
   Pearse R, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.451
   Pearson AR, 2021, CURR OPIN PSYCHOL, V42, P36, DOI 10.1016/j.copsyc.2021.03.001
   Pearson AR, 2018, P NATL ACAD SCI USA, V115, P12429, DOI 10.1073/pnas.1804698115
   Pearson AR, 2018, GROUP PROCESS INTERG, V21, P373, DOI 10.1177/1368430217747750
   Pearson AR, 2016, PERSPECT PSYCHOL SCI, V11, P632, DOI 10.1177/1745691616639726
   Pearson AR, 2014, NAT CLIM CHANGE, V4, P1039, DOI 10.1038/nclimate2415
   Pearson AR., 2017, OXFORD RES ENCY CLIM, DOI DOI 10.1093/ACREFORE/9780190228620.013.412
   Pickering J, 2018, RURAL EXT INNOV SYST, V14, P62
   Pickering JA, 2017, RURAL EXT INNOV SYST, V13, P1
   PLOUS S, 1993, J PEACE RES, V30, P163, DOI 10.1177/0022343393030002004
   Pralle SB, 2009, ENVIRON POLIT, V18, P781, DOI 10.1080/09644010903157115
   PRATTO F, 1994, J PERS SOC PSYCHOL, V67, P741, DOI 10.1037/0022-3514.67.4.741
   Reese G, 2016, CLIMATIC CHANGE, V134, P521, DOI 10.1007/s10584-015-1548-2
   Rietig K., 2020, FUTURE EUROPEAN UNIO, DOI [10.4324/9781003031178-3/importance-compatible-beliefs-effective-climate-policy-integration-katharina-rietig, DOI 10.4324/9781003031178-3/IMPORTANCE-COMPATIBLE-BELIEFS-EFFECTIVE-CLIMATE-POLICY-INTEGRATION-KATHARINA-RIETIG]
   Ritchie H., 2020, INDIA CO 2 COUNTRY P
   Ritchie Hannah., Who has contributed most to global CO2 emissions?
   RITOV I, 1992, J RISK UNCERTAINTY, V5, P49
   Roberts G, 1998, P ROY SOC B-BIOL SCI, V265, P427, DOI 10.1098/rspb.1998.0312
   Roberts JT, 2001, SOC NATUR RESOUR, V14, P501, DOI 10.1080/08941920152120529
   Roberts PS, 2019, AM REV PUBLIC ADM, V49, P292, DOI 10.1177/0275074018799490
   Roser-Renouf C., 2016, Faith, Morality and the Environment: Portraits of Global Warming's Six Americas
   Sabharwal M, 2013, J PUBLIC AFF EDUC, V19, P657, DOI 10.1080/15236803.2013.12001758
   Sabherwal A, 2021, J APPL SOC PSYCHOL, V51, P321, DOI 10.1111/jasp.12737
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schneider CR, 2022, J APPL SOC PSYCHOL, V52, P106, DOI 10.1111/jasp.12841
   Sokoloski R, 2018, ENERG POLICY, V112, P45, DOI 10.1016/j.enpol.2017.10.005
   Sorensen C, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002603
   Sparkman G, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32412-y
   Swim JK, 2018, GROUP PROCESS INTERG, V21, P472, DOI 10.1177/1368430217745366
   Tam KP, 2021, ASIAN J SOC PSYCHOL, V24, P117, DOI 10.1111/ajsp.12477
   Taylor DE, 2015, ENVIRON JUSTICE, V8, P165, DOI 10.1089/env.2015.0018
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   Thompson D., 2019, W26156 NAT BUR EC RE, DOI [10.3386/w26156, DOI 10.3386/W26156]
   United Nations Development Programme, 2020, Technical report
   Van Lange PAM, 2018, CURR DIR PSYCHOL SCI, V27, P269, DOI 10.1177/0963721417753945
   Van Lange PAM, 2008, SOC ISS POLICY REV, V2, P127, DOI 10.1111/j.1751-2409.2008.00013.x
   Veríssimo D, 2018, SOC MARK Q, V24, P18, DOI 10.1177/1524500417734806
   Wade-Benzoni KA, 2002, ACAD MANAGE J, V45, P1011, DOI 10.5465/3069327
   Williams J, 2021, GEOGRAPHY, V106, P136, DOI 10.1080/00167487.2021.1970928
   Wolfe SE, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.566
   World Bank IEA, 2014, Electric power consumption (kWh per capita) in Africa
   Zhong HL, 2020, J ENVIRON MANAGE, V273, DOI 10.1016/j.jenvman.2020.110979
NR 128
TC 5
Z9 6
U1 4
U2 20
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 2023
VL 14
IS 5
DI 10.1002/wcc.836
EA MAY 2023
PG 19
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 AZ4Z5
UT WOS:000982707800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Schaefer, M
AF Schaefer, Mathias
TI Between vision and action: the predicted effects of co-designed green
   infrastructure solutions on environmental burdens
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Urban planning; Transdisciplinarity; Heat; Air pollution; Numerical
   simulation
ID CLIMATE-CHANGE; THERMAL COMFORT; ENVI-MET; MODEL PERFORMANCE; STREET
   CANYON; AIR-QUALITY; URBAN; ADAPTATION; JUSTICE; TEMPERATURE
AB Green Infrastructure (GI) is gaining wide recognition in cooperative research projects seeking to find solutions for climate adaptation in urbanized areas. However, the potential effects of co-produced GI plans and the underlying preparation process are rarely evaluated. To bridge this gap, the aim of this article is to examine what works in addressing environmental burdens in the urban neighborhood of Dortmund Marten, Germany. As part of a larger transdisciplinary process, selective GI measures were delineated in the case study area through a cooperative workshop between scientists and urban planners. Workshop ideas were incorporated into a mitigative scenario considering a hot summer day to quantify the effects of the derived GI measures on thermal comfort and particulate matter dispersion (PM10 and PM2.5). To evaluate the experiences of the science-practice collaboration, the viewpoints of researchers and urban planners on learning effects, knowledge integration, and GI planning were summarized and compared via an online survey. The results indicate that the proposed GI measures could reduce physiological equivalent temperature (PET) by 25 degrees C. At the same time, additional roadside trees could increase PM10 concentrations by up to 36 mu g/m(3) due to wind blocking effects. Reflections on the science-practice workshop show that learning effects were higher for the participating researchers than for planning practitioners, while the integration of individual expertise during the workshop was more difficult for academics. These findings point to the importance of continuous reflections on individual understandings in cooperating stakeholder groups and the value of the evaluation of outcomes in transdisciplinary GI planning.
C1 [Schaefer, Mathias] TU Dortmund Univ, Res Grp Spatial Informat Management & Modelling R, D-44227 Dortmund, Germany.
C3 Dortmund University of Technology
RP Schaefer, M (corresponding author), TU Dortmund Univ, Res Grp Spatial Informat Management & Modelling R, D-44227 Dortmund, Germany.
EM mathias.schaefer@tu-dortmund.de
OI Schaefer, Mathias/0000-0002-5330-7714
FU Federal Ministry of Education and Research (BMBF) [01LR1721A]
FX Open Access funding was enabled and organized by Project DEAL. Parts of
   the presented work were supported by the Federal Ministry of Education
   and Research (BMBF), grant number 01LR1721A.
CR Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   Aboelata A, 2021, ENERGY, V219, DOI 10.1016/j.energy.2020.119514
   Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   Anguelovski I, 2019, PROG HUM GEOG, V43, P1064, DOI 10.1177/0309132518803799
   Balany F, 2020, WATER-SUI, V12, DOI 10.3390/w12123577
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Berardi U, 2016, ENERG BUILDINGS, V121, P217, DOI 10.1016/j.enbuild.2016.03.021
   Berndtsson JC, 2010, ECOL ENG, V36, P351, DOI 10.1016/j.ecoleng.2009.12.014
   Bruse M., 1998, Environmental Modelling & Software, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   BYRNE L, 2022, URBAN ECOSYST
   Chang JC, 2004, METEOROL ATMOS PHYS, V87, P167, DOI 10.1007/s00703-003-0070-7
   Cook E.M., 2021, Resilient urban futures, DOI [10.1007/978-3-030-63131-4_7, DOI 10.1007/978-3-030-63131-4_7]
   Coombes E, 2010, SOC SCI MED, V70, P816, DOI 10.1016/j.socscimed.2009.11.020
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Fairburn J, 2009, LOCAL ENVIRON, V14, P139, DOI 10.1080/13549830802522038
   Folke C, 2010, ECOL SOC, V15
   Glatter-Götz H, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1611
   Gromke C, 2012, BOUND-LAY METEOROL, V144, P41, DOI 10.1007/s10546-012-9703-z
   Hamstead Z., 2021, Resilient Urban Futures, the Urban Book Series, P47, DOI DOI 10.1007/978-3-030-63131-4_4
   Hansen R., 2021, Socio-Ecological Practice Research, DOI [DOI 10.1007/S42532-021-00087-2, 10.1007/s42532-021-00087]
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   He BJ, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101472
   Heldens W, 2020, GEOSPATIAL INPUT DAT
   Home R, 2022, URBAN ECOSYST, V25, P223, DOI 10.1007/s11252-021-01146-y
   Hoover FA, 2021, J ENVIRON POL PLAN, V23, P665, DOI 10.1080/1523908X.2021.1945916
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Koc CB, 2018, SOL ENERGY, V166, P486, DOI 10.1016/j.solener.2018.03.008
   Lakes T, 2014, J ENVIRON PLANN MAN, V57, P538, DOI 10.1080/09640568.2012.755461
   Liu X, 2021, SCI TOTAL ENVIRON, V800, DOI 10.1016/j.scitotenv.2021.149634
   Liu ZM, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/1653493
   Liu ZX, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107939
   Mansor M, 2012, PROCD SOC BEHV, V49, P257, DOI 10.1016/j.sbspro.2012.07.024
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Matzarakis A, 2008, ADV GLOB CHANGE RES, V30, P161, DOI 10.1007/978-1-4020-6877-5_10
   Meerow S, 2021, URBAN ECOSYST, V24, P989, DOI 10.1007/s11252-020-01088-x
   Meerow S, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102621
   Morakinyo TE, 2017, ENERG BUILDINGS, V145, P226, DOI 10.1016/j.enbuild.2017.03.066
   Müller N, 2014, THEOR APPL CLIMATOL, V115, P243, DOI 10.1007/s00704-013-0890-4
   Ohlmeyer K, 2022, TOWN PLAN REV, V93, P187, DOI 10.3828/tpr.2021.20
   Paas B, 2016, ATMOS ENVIRON, V145, P392, DOI 10.1016/j.atmosenv.2016.09.031
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pagliacci F, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.105969
   Pickett STA, 2022, URBAN ECOSYST, V25, P765, DOI 10.1007/s11252-021-01190-8
   Puntub W, 2023, J ENVIRON PLANN MAN, V66, P1918, DOI 10.1080/09640568.2022.2043260
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   Regionalverband Ruhr, 2022, GRUND
   Rüttenauer T, 2018, SOC SCI RES, V70, P198, DOI 10.1016/j.ssresearch.2017.11.009
   Rui LY, 2019, BUILD SIMUL-CHINA, V12, P183, DOI 10.1007/s12273-018-0498-9
   Schaefer M, 2021, SCI TOTAL ENVIRON, V794, DOI 10.1016/j.scitotenv.2021.148709
   Schaefer M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020635
   Scholz RW, 2015, SUSTAIN SCI, V10, P653, DOI 10.1007/s11625-015-0327-3
   Shao HM, 2021, LAND-BASEL, V10, DOI 10.3390/land10070711
   Shrestha R, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15020260
   Shrestha R, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13070691
   Sieber R, 2022, TOWN PLAN REV, V93, P139, DOI 10.3828/tpr.2021.24
   Stadt Dortmund, 2019, STAT DOTM STAT 2019
   Stadt Dortmund Feuerwehr, 2015, UAV ASS AD HOC NETW
   Taubenböck H, 2021, COMPUT ENVIRON URBAN, V89, DOI 10.1016/j.compenvurbsys.2021.101687
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   Verdú-Vázquez A, 2021, URBAN ECOSYST, V24, P187, DOI 10.1007/s11252-020-01019-w
   Willmott CJ., 1981, Phys Geogr, V2, P184, DOI [DOI 10.1080/02723646.1981.10642213, 10.1080/02723646.1981.10642213]
   Xue J, 2019, THEOR APPL CLIMATOL, V137, P89, DOI 10.1007/s00704-018-2567-5
   Zhang GC, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16020179
   Zheng BH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114192
   Zhou B, 2021, CLIMATE CHANGE 2021
NR 67
TC 2
Z9 2
U1 1
U2 21
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD DEC
PY 2022
VL 25
IS 6
BP 1805
EP 1824
DI 10.1007/s11252-022-01268-x
EA AUG 2022
PG 20
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA 7A1VZ
UT WOS:000837962500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Na, LTH
   Park, JH
   Jeon, Y
   Jung, S
AF Le Thi Hong Na
   Park, Jin-Ho
   Jeon, Yangsook
   Jung, Sejung
TI Analysis of vernacular houses in southern Vietnam, and potential
   applications of the learned lessons to contemporary urban street houses
SO OPEN HOUSE INTERNATIONAL
LA English
DT Article
DE Vietnam vernacular house; Spatial layout; Street houses; Sustainable
   strategies; Natural light; Ventilation
ID STRATEGIES; CLIMATE
AB Purpose This study examines spatial layouts and sustainable features of vernacular houses in southern Vietnam to apply the lessons learned to the development of a contemporary housing design. This study proposes hypothetical low-rise street-house models popular in contemporary urban Vietnam by applying the spatial and ecological lessons learned from the analysis. Design/methodology/approach In total, 23 well-preserved vernacular houses in Dong Hoa Hiep - an 18th century village in the Tien Giang Province - were chosen for a 2-month, on-site investigation. During the field survey, the houses were measured to fabricate scale drawings for detailed analysis, and photographs were taken. Findings An in-depth evaluation highlighted unique characteristics of spatial compositions, sustainable features, and architectural components that contribute to climate adaptive strategies. Research limitations/implications Although numerous potential arrangements of the models are possible, a few examples are illustrated to validate that the assembly could help achieve a dynamic streetscape for street houses. Social implications From this perspective, vernacular houses in Vietnam are a rich architectural resource and a significant cultural heritage, because these houses have adopted sustainable design strategies suitable for the local climate and culture to ensure comfort and well-being for a long time. Perhaps, sustainable lessons drawn from Vietnam's indigenous houses are a prerequisite to developing contemporary housing in the country. Originality/value Employing the lessons learned from vernacular houses, this study developed three sustainable prototypical designs for the development of contemporary street houses in densely populated cities in Vietnam.
C1 [Le Thi Hong Na] Ho Chi Minh City Univ Technol, Fac Civil Engn, Ho Chi Minh City, Vietnam.
   [Le Thi Hong Na] Vietnam Natl Univ Ho Chi Minh City, Ho Chi Minh City, Vietnam.
   [Park, Jin-Ho; Jeon, Yangsook; Jung, Sejung] Inha Univ, Dept Architecture, Incheon, South Korea.
C3 Vietnam National University Ho Chi Minh City (VNUHCM) System; VNU-HCM
   University of Technology (HCMUT); Vietnam National University Ho Chi
   Minh City (VNUHCM) System; Inha University
RP Park, JH (corresponding author), Inha Univ, Dept Architecture, Incheon, South Korea.
EM jinhopark@inha.ac.kr
RI Jin-Ho, Park/J-6962-2019
FU INHA University Research Grant; Ho Chi Minh City University of
   Technology (HCMUT) - VNU-HCM
FX This work was supported by the INHA University Research Grant. The
   authors also acknowledge the support of time and facilities from Ho Chi
   Minh City University of Technology (HCMUT) - VNU-HCM for this study.
CR Altomonte S., 2008, J. Sustain. Dev, V1, P97, DOI [10.5539/jsd.v1n1p97, DOI 10.5539/JSD.V1N1P97]
   Anh Dung Pham, 2018, MATEC Web of Conferences, V193, DOI 10.1051/matecconf/201819304011
   [Anonymous], 2014, SUN WIND LIGHT ARCHI
   Dang H.D., 2021, AUC 2019 ADV 21 CENT, P51
   Hoang H.T., 2006, VIETNAMESE ARCHITECT, V3, P48
   Nguyen HM, 2013, PROCD SOC BEHV, V85, P368, DOI 10.1016/j.sbspro.2013.08.366
   Kamal K.S., 2004, P 38 INT C ARCH SCI, P175
   Le N.V.A., 2013, IACSIT INT J ENG TEC, V5, P5
   Na LTH, 2013, OPEN HOUSE INT, V38, P31
   Le THN, 2011, OPEN HOUSE INT, V36, P32
   Manzano-Agugliaro F, 2015, RENEW SUST ENERG REV, V49, P736, DOI 10.1016/j.rser.2015.04.095
   Mileto C., 2014, Vernacular Architecture: Towards a Sustainable Future
   Nguyen AT, 2011, BUILD ENVIRON, V46, P2088, DOI 10.1016/j.buildenv.2011.04.019
   Thao NP, 2018, WIT TRANS ECOL ENVIR, V226, P207, DOI 10.2495/SDP170181
   Nguyen VTA, 2022, OPEN HOUSE INT, V47, P122, DOI 10.1108/OHI-04-2021-0078
   Oliver Paul., 2006, BUILT MEET NEEDS CUL, DOI [10.4324/9780080476308, DOI 10.4324/9780080476308]
   Park J., 2021, NEXUS NETW J, V23, P623
   Park JH, 2019, NEXUS NETW J, V21, P623, DOI 10.1007/s00004-019-00452-5
   Park K., 2008, P WORLD ACAD SCI ENG, V2, P1235
   Nguyen PA, 2019, SMART SUSTAIN BUILT, V8, P366, DOI 10.1108/SASBE-01-2018-0002
   Srivastav S, 2009, INT J LOW-CARBON TEC, V4, P141, DOI 10.1093/ijlct/ctp021
   Toe DHC, 2015, SOL ENERGY, V114, P229, DOI 10.1016/j.solener.2015.01.035
   Tran VK, 2018, IOP C SER EARTH ENV, V143, DOI 10.1088/1755-1315/143/1/012053
   Weber Willi., 2014, Lessons from vernacular architecture
   World Bank, 2015, VIETN AFF HOUS WAY F
NR 25
TC 1
Z9 1
U1 2
U2 12
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0168-2601
EI 2633-9838
J9 OPEN HOUSE INT
JI Open House Int.
PD AUG 19
PY 2022
VL 47
IS 3
SI SI
BP 533
EP 548
DI 10.1108/OHI-12-2021-0276
EA JUL 2022
PG 16
WC Architecture; Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Environmental Sciences & Ecology; Urban Studies
GA 3V8US
UT WOS:000828774000001
DA 2025-01-10
ER

PT J
AU Mulero, G
   Bacher, H
   Kleiner, U
   Peleg, Z
   Herrmann, I
AF Mulero, Gabriel
   Bacher, Harel
   Kleiner, Uri
   Peleg, Zvi
   Herrmann, Ittai
TI Spectral Estimation of <i>In Vivo</i> Wheat Chlorophyll a/b Ratio under
   Contrasting Water Availabilities
SO REMOTE SENSING
LA English
DT Article
DE hyperspectral; high throughput phenotyping; pigment; wild emmer; drought
ID VEGETATION INDEXES; CAROTENOID CONTENT; REMOTE ESTIMATION; LEAF;
   REFLECTANCE; LEAVES; DOMESTICATION; ALGORITHMS; EXTRACTION; LIGHT
AB To meet the ever-growing global population necessities, integrating climate-change-relevant plant traits into breeding programs is required. Developing new tools for fast and accurate estimation of chlorophyll parameters, chlorophyll a (Chl-a) content, chlorophyll b (Chl-b) content, and their ratio (Chl-a/b), can promote breeding programs of wheat with enhanced climate adaptability. Spectral reflectance of leaves is affected by changes in pigment concentration and can be used to estimate chlorophyll parameters. The current study identified and validated the top known spectral indices and developed new vegetation indices (VIs) for Chl-a and Chl-b content estimation and used them to non-destructively estimate Chl-a/b values and compare them to hyperspectral estimations. Three wild emmer introgression lines, with contrasting drought stress responsiveness dynamics, were selected. Well-watered and water-limited irrigation regimes were applied. The wheat leaves were spectrally measured with a handheld spectrometer to acquire their reflectance in the 330 to 790 nm range. Regression models based on calculated VIs as well as all hyperspectral curves were calibrated and validated against chlorophyll extracted values. The developed normalized difference spectral indices (NDSIs) resulted in high accuracy of Chl-a (NDSI415,614) and Chl-b (NDSI406,525) estimation, allowing for indirect non-destructive estimation of Chl-a/b with root mean square error (RMSE) values that could fit 6 to 10 times in the range of the measured values. They also performed similarly to the hyperspectral models. Altogether, we present here a new tool for a non-destructive estimation of Chl-a/b, which can serve as a basis for future breeding efforts of climate-resilient wheat as well as other crops.
C1 [Mulero, Gabriel; Bacher, Harel; Kleiner, Uri; Peleg, Zvi; Herrmann, Ittai] Hebrew Univ Jerusalem, Robert H Smith Inst Plant Sci & Genet Agr, IL-7610001 Rehovot, Israel.
C3 Hebrew University of Jerusalem
RP Herrmann, I (corresponding author), Hebrew Univ Jerusalem, Robert H Smith Inst Plant Sci & Genet Agr, IL-7610001 Rehovot, Israel.
EM gabriel.mulero@mail.huji.ac.il; harel.bacher@mail.huji.ac.il;
   uri.kleiner@mail.huji.ac.il; zvi.peleg@mail.huji.ac.il;
   ittai.herrmann@mail.huji.ac.il
RI Peleg, Zvi/P-3695-2019; Bacher, Harel/AAD-4935-2022; Herrmann,
   Ittai/AAP-4767-2020; Peleg, Zvi/A-4662-2012
OI Bacher, Harel/0000-0002-5929-7131; Herrmann, Ittai/0000-0003-1136-1883;
   Peleg, Zvi/0000-0001-8063-1619; Kleiner, Uri/0000-0002-1741-7967;
   Mulero, Gabriel/0000-0002-2935-6233
FU U.S. Agency for International Development Middle East Research and
   Cooperation [M34-037]; Dutch Ministry of Foreign Affairs under Dutch
   development/foreign policy (Project WheatMAX); Hebrew University of
   Jerusalem Intramural Research Fund Career Development; Hebrew University
   Center for Sustainability (OptiWheat); Hebrew University International
   School of Agricultural Sciences
FX This study was partially supported by the U.S. Agency for International
   Development Middle East Research and Cooperation (grant #M34-037), the
   Dutch Ministry of Foreign Affairs under Dutch development/foreign policy
   (Project WheatMAX), the Hebrew University of Jerusalem Intramural
   Research Fund Career Development, Hebrew University Center for
   Sustainability (OptiWheat), and the Hebrew University International
   School of Agricultural Sciences.
CR Abbo S, 2014, TRENDS PLANT SCI, V19, P351, DOI 10.1016/j.tplants.2013.12.002
   [Anonymous], 2000, COINCIDENT DETECTION
   Ashraf M, 2013, PHOTOSYNTHETICA, V51, P163, DOI 10.1007/s11099-013-0021-6
   Bacher H, 2022, J EXP BOT, V73, P1643, DOI 10.1093/jxb/erab500
   Bacher H, 2021, PLANT PHYSIOL, V187, P1149, DOI 10.1093/plphys/kiab292
   Banerjee BP, 2020, J EXP BOT, V71, P4604, DOI 10.1093/jxb/eraa143
   Bannari A., 1995, Remote Sensing Reviews, V13, P95, DOI [10.1080/02757259509532298, DOI 10.1080/02757259509532298]
   Bannari A, 2007, IEEE T GEOSCI REMOTE, V45, P3063, DOI 10.1109/TGRS.2007.897429
   BARNES JD, 1992, ENVIRON EXP BOT, V32, P85, DOI 10.1016/0098-8472(92)90034-Y
   Broge NH, 2001, REMOTE SENS ENVIRON, V76, P156, DOI 10.1016/S0034-4257(00)00197-8
   CARTER GA, 1994, INT J REMOTE SENS, V15, P697, DOI 10.1080/01431169408954109
   Casa R, 2015, J AGR SCI-CAMBRIDGE, V153, P876, DOI 10.1017/S0021859614000483
   CHAPPELLE EW, 1992, REMOTE SENS ENVIRON, V39, P239, DOI 10.1016/0034-4257(92)90089-3
   Chen XW, 2020, SPECTROCHIM ACTA A, V243, DOI 10.1016/j.saa.2020.118786
   Croce R, 2014, NAT CHEM BIOL, V10, P492, DOI [10.1038/NCHEMBIO.1555, 10.1038/nchembio.1555]
   Croft H., 2018, COMPREHENSIVE REMOTE, P117, DOI [10.1016/b978-0-12-409548-9.10547-0, DOI 10.1016/B978-0-12-409548-9.10547-0, 10.1016/B978-0-12-409548-9.10547-0]
   Croft H, 2017, GLOBAL CHANGE BIOL, V23, P3513, DOI 10.1111/gcb.13599
   Datt B, 1998, REMOTE SENS ENVIRON, V66, P111, DOI 10.1016/S0034-4257(98)00046-7
   Daughtry CST, 2000, REMOTE SENS ENVIRON, V74, P229, DOI 10.1016/S0034-4257(00)00113-9
   GAMON JA, 1992, REMOTE SENS ENVIRON, V41, P35, DOI 10.1016/0034-4257(92)90059-S
   GAUSMAN HW, 1973, PLANT PHYSIOL, V52, P57, DOI 10.1104/pp.52.1.57
   Giovos R, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11050457
   Gitelson AA, 2003, J PLANT PHYSIOL, V160, P271, DOI 10.1078/0176-1617-00887
   Gitelson AA, 1997, INT J REMOTE SENS, V18, P2691, DOI 10.1080/014311697217558
   Gitelson AA, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022688
   Gitelson AA, 2002, PHOTOCHEM PHOTOBIOL, V75, P272, DOI 10.1562/0031-8655(2002)075<0272:ACCIPL>2.0.CO;2
   Gitelson AA, 2001, PHOTOCHEM PHOTOBIOL, V74, P38, DOI 10.1562/0031-8655(2001)074<0038:OPANEO>2.0.CO;2
   Gitelson AA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026457
   Gitelson AA, 2012, HYPERSPECTRAL REMOTE SENSING OF VEGETATION, P141
   Golan G, 2018, PLANT CELL ENVIRON, V41, P755, DOI 10.1111/pce.13138
   Guo YY, 2016, PHOTOSYNTHETICA, V54, P524, DOI 10.1007/s11099-016-0206-x
   Guru Tulasi, 2017, Indian Journal of Plant Physiology, V22, P141, DOI 10.1007/s40502-017-0281-4
   Guyot G., 1988, INT ARCH PHOTOGRAMME, V11, P750, DOI DOI 10.1093/MIND/VII.25.101
   Haboudane D, 2002, REMOTE SENS ENVIRON, V81, P416, DOI 10.1016/S0034-4257(02)00018-4
   Hallik L, 2017, REG ENVIRON CHANGE, V17, P2097, DOI 10.1007/s10113-017-1202-9
   Herrmann I, 2011, REMOTE SENS ENVIRON, V115, P2141, DOI 10.1016/j.rse.2011.04.018
   Herrmann I, 2010, INT J REMOTE SENS, V31, P5127, DOI 10.1080/01431160903283892
   Hunt ER, 2011, AGRON J, V103, P1090, DOI 10.2134/agronj2010.0395
   Inoue Y, 2008, REMOTE SENS ENVIRON, V112, P156, DOI 10.1016/j.rse.2007.04.011
   JORDAN CF, 1969, ECOLOGY, V50, P663, DOI 10.2307/1936256
   Joynson R, 2021, PLANT BIOTECHNOL J, V19, P1537, DOI 10.1111/pbi.13568
   Lenaerts B, 2019, PLANT SCI, V287, DOI 10.1016/j.plantsci.2019.110207
   Lichtenthaler HK, 1998, ANN NY ACAD SCI, V851, P187, DOI 10.1111/j.1749-6632.1998.tb08993.x
   Lopes DD, 2017, FOOD ANAL METHOD, V10, P2807, DOI 10.1007/s12161-017-0853-y
   Main R, 2011, ISPRS J PHOTOGRAMM, V66, P751, DOI 10.1016/j.isprsjprs.2011.08.001
   McKinney W, 2010, Data structures for statistical computing in Python, P51, DOI [10.25080/majora-92bf1922-00a, DOI 10.25080/MAJORA-92BF1922-00A]
   Merzlyak MN, 1999, PHYSIOL PLANTARUM, V106, P135, DOI 10.1034/j.1399-3054.1999.106119.x
   MORAN R, 1980, PLANT PHYSIOL, V65, P478, DOI 10.1104/pp.65.3.478
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Peleg Z, 2005, PLANT CELL ENVIRON, V28, P176, DOI 10.1111/j.1365-3040.2005.01259.x
   PENUELAS J, 1994, REMOTE SENS ENVIRON, V48, P135, DOI 10.1016/0034-4257(94)90136-8
   PENUELAS J, 1995, INT J REMOTE SENS, V16, P2727, DOI 10.1080/01431169508954588
   PENUELAS J, 1995, PHOTOSYNTHETICA, V31, P221
   Pérez-Patricio M, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18020650
   PYKE KA, 1990, ANN BOT-LONDON, V65, P679, DOI 10.1093/oxfordjournals.aob.a087986
   Ray DK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066428
   Rondeaux G, 1996, REMOTE SENS ENVIRON, V55, P95, DOI 10.1016/0034-4257(95)00186-7
   ROUJEAN JL, 1995, REMOTE SENS ENVIRON, V51, P375, DOI 10.1016/0034-4257(94)00114-3
   Rouse J.W., 1974, NASAGSFC FINAL REPOR, P1
   Sade N, 2020, PLANT SCI, V295, DOI [10.1016/j.plantsci.2019.110467, 10.1016/j.plantsci.2020.110467]
   Singh A, 2015, ECOL APPL, V25, P2180, DOI [10.1890/14-2098.1.sm, 10.1890/14-2098.1]
   SMITH RCG, 1995, AUST J AGR RES, V46, P113, DOI 10.1071/AR9950113
   Sonobe R, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193265
   Thenkabail PS, 2013, IEEE J-STARS, V6, P427, DOI 10.1109/JSTARS.2013.2252601
   Ustin S.L., 2020, Remote Sensing of Plant Biodiversity, P349, DOI [DOI 10.1007/978-3-030-33157-3_14, 10.1007/978-3-030-33157-3_14/FIGURES/16, DOI 10.1007/978-3-030-33157-3_14/FIGURES/16]
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   WELLBURN AR, 1994, J PLANT PHYSIOL, V144, P307, DOI 10.1016/S0176-1617(11)81192-2
   Wold S, 2001, CHEMOMETR INTELL LAB, V58, P109, DOI 10.1016/S0169-7439(01)00155-1
   Yamamoto A, 2002, J PLANT NUTR, V25, P2295, DOI 10.1081/PLN-120014076
   Yang GJ, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01111
   Yu K, 2015, PHOTOGRAMM FERNERKUN, P45, DOI 10.1127/pfg/2015/0253
   Zarco-Tejada PJ, 2001, IEEE T GEOSCI REMOTE, V39, P1491, DOI 10.1109/36.934080
NR 73
TC 6
Z9 8
U1 1
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD JUN
PY 2022
VL 14
IS 11
AR 2585
DI 10.3390/rs14112585
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 1Z3RA
UT WOS:000808744500001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Fernandez-Bou, AS
   Ortiz-Partida, JP
   Classen-Rodriguez, LM
   Pells, C
   Dobbin, KB
   Espinoza, V
   Rodriguez-Flores, JM
   Thao, C
   Wagner, CHR
   Fencl, A
   Flores-Landeros, H
   Maskey, ML
   Cole, SA
   Azamian, S
   Gamino, E
   Guzman, A
   Alvarado, AGF
   Campos-Martinez, MS
   Weintraub, C
   Sandoval, E
   Dahlquist-Willard, RM
   Bernacchi, LA
   Naughton, CC
   DeLugan, RM
   Medellin-Azuara, J
AF Fernandez-Bou, Angel Santiago
   Ortiz-Partida, J. Pablo
   Classen-Rodriguez, Leticia M.
   Pells, Chantelise
   Dobbin, Kristin B.
   Espinoza, Vicky
   Rodriguez-Flores, Jose Manuel
   Thao, Chia
   Hammond Wagner, Courtney R.
   Fencl, Amanda
   Flores-Landeros, Humberto
   Maskey, Mahesh L.
   Cole, Spencer A.
   Azamian, Shayda
   Gamino, Eliseo
   Guzman, Alexander
   Alvarado, Ana Grace F.
   Campos-Martinez, Miriam S.
   Weintraub, Coreen
   Sandoval, Espi
   Dahlquist-Willard, Ruth M.
   Bernacchi, Leigh A.
   Naughton, Colleen C.
   DeLugan, Robin M.
   Medellin-Azuara, Josue
TI 3 Challenges, 3 Errors, and 3 Solutions to Integrate Frontline
   Communities in Climate Change Policy and Research: Lessons From
   California
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE local knowledge; multi-benefit projects; buffer zones; community-based
   research; disadvantaged communities; environmental justice; climate
   justice; co-production
ID DRINKING-WATER; ENVIRONMENTAL JUSTICE; VULNERABILITY; AGRICULTURE;
   QUALITY
AB Frontline communities of California experience disproportionate social, economic, and environmental injustices, and climate change is exacerbating the root causes of inequity in those areas. Yet, climate adaptation and mitigation strategies often fail to meaningfully address the experience of frontline community stakeholders. Here, we present three challenges, three errors, and three solutions to better integrate frontline communities' needs in climate change research and to create more impactful policies. We base our perspective on our collective firsthand experiences and on scholarship to bridge local knowledge with hydroclimatic research and policymaking. Unawareness of local priorities (Challenge 1) is a consequence of Ignoring local knowledge (Error 1) that can be, in part, resolved with Information exchange and expansion of community-based participatory research (Solution 1). Unequal access to natural resources (Challenge 2) is often due to Top-down decision making (Error 2), but Buffer zones for environmental protection, green areas, air quality, and water security can help achieve environmental justice (Solution 2). Unequal access to public services (Challenge 3) is a historical issue that persists because of System abuse and tokenism (Error 3), and it may be partially resolved with Multi-benefit projects to create socioeconomic and environmental opportunities within frontline communities that include positive externalities for other stakeholders and public service improvements (Solution 3). The path forward in climate change policy decision-making must be grounded in collaboration with frontline community members and practitioners trained in working with vulnerable stakeholders. Addressing co-occurring inequities exacerbated by climate change requires transdisciplinary efforts to identify technical, policy, and engineering solutions.
C1 [Fernandez-Bou, Angel Santiago; Pells, Chantelise; Rodriguez-Flores, Jose Manuel; Flores-Landeros, Humberto; Maskey, Mahesh L.; Cole, Spencer A.; Guzman, Alexander; Medellin-Azuara, Josue] Univ Calif Merced, Water Syst Management Lab, Merced, CA 95343 USA.
   [Fernandez-Bou, Angel Santiago; Espinoza, Vicky; Rodriguez-Flores, Jose Manuel; Flores-Landeros, Humberto; Maskey, Mahesh L.; Cole, Spencer A.; Guzman, Alexander; Alvarado, Ana Grace F.; Naughton, Colleen C.; Medellin-Azuara, Josue] Univ Calif Merced, Civil & Environm Engn, Merced, CA 95343 USA.
   [Fernandez-Bou, Angel Santiago; Classen-Rodriguez, Leticia M.; Rodriguez-Flores, Jose Manuel; Flores-Landeros, Humberto; Alvarado, Ana Grace F.] 4Venir Educ Nonprofit Org, Merced, CA 95340 USA.
   [Ortiz-Partida, J. Pablo; Weintraub, Coreen] Union Concerned Scientists, Climate & Energy Program, Cambridge, MA 02138 USA.
   [Classen-Rodriguez, Leticia M.] St Louis Univ, Dept Biol, St Louis, MO USA.
   [Dobbin, Kristin B.] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA USA.
   [Espinoza, Vicky; Rodriguez-Flores, Jose Manuel; Flores-Landeros, Humberto; Cole, Spencer A.; Alvarado, Ana Grace F.; Naughton, Colleen C.; Medellin-Azuara, Josue] Univ Calif Merced, Environm Syst Program, Merced, CA USA.
   [Thao, Chia] Univ Calif Merced, Publ Hlth Program, Merced, CA USA.
   [Thao, Chia; Campos-Martinez, Miriam S.; DeLugan, Robin M.] Univ Calif Merced, Sch Social Sci Humanities & Arts, Merced, CA USA.
   [Hammond Wagner, Courtney R.] Stanford Univ, Woods Inst Environm, Water West, Stanford, CA USA.
   [Fencl, Amanda] Texas A&M Univ, Dept Geog, College Stn, TX USA.
   [Azamian, Shayda] Leadership Counsel Justice & Accountabil, Fresno, CA USA.
   [Gamino, Eliseo; Sandoval, Espi] Mesa Redonda Liderazgo Valle Cent, Cent Valley Leadership Round Table, Fresno, CA USA.
   [Dahlquist-Willard, Ruth M.] Univ Calif Agr & Nat Resources, Fresno Cty Cooperat Extens, Fresno, CA USA.
   [Bernacchi, Leigh A.] Univ Calif Merced, Ctr Informat Technol Res Interest Soc, Merced, CA USA.
   [Bernacchi, Leigh A.] Univ Calif Merced, Banatao Inst, Merced, CA USA.
C3 University of California System; University of California Merced;
   University of California System; University of California Merced; Saint
   Louis University; University of California System; University of
   California Davis; University of California System; University of
   California Merced; University of California System; University of
   California Merced; University of California System; University of
   California Merced; Stanford University; Texas A&M University System;
   Texas A&M University College Station; University of California System;
   University of California Merced; University of California System;
   University of California Merced
RP Fernandez-Bou, AS (corresponding author), Univ Calif Merced, Water Syst Management Lab, Merced, CA 95343 USA.; Fernandez-Bou, AS (corresponding author), Univ Calif Merced, Civil & Environm Engn, Merced, CA 95343 USA.; Fernandez-Bou, AS (corresponding author), 4Venir Educ Nonprofit Org, Merced, CA 95340 USA.; Ortiz-Partida, JP (corresponding author), Union Concerned Scientists, Climate & Energy Program, Cambridge, MA 02138 USA.
EM afernandezbou@ucmerced.edu; jportiz@ucsusa.org
RI DeLugan, Robin/JYP-0373-2024; Fernandez-Bou, Angel Santiago/W-9673-2019;
   Medellin-Azuara, Josue/AAH-4059-2020; Fencl, Amanda/Z-1274-2018; Maskey,
   Mahesh/AGO-8784-2022
OI Alvarado, Ana Grace/0000-0002-0564-6092; Bernacchi,
   Leigh/0000-0002-1447-0447; Fernandez-Bou, Angel
   Santiago/0000-0001-9947-0747; Fencl, Amanda L/0000-0002-1914-0930;
   Maskey, Mahesh Lal/0000-0002-2258-2932
FU Water Foundation (USA) and Environment Now (USA); NSF INFEWS (USA)
   [1639268]; USDA INFEWS (USA) [2018-67004-27405]; California Strategic
   Growth Council (USA) [CCRP0013]; University of California Merced School
   of Engineering; NSF Graduate Research Fellowship (USA) [1650042]
FX JPO-P was partially supported by funding from the Water Foundation (USA)
   and Environment Now (USA). ASF-B, HF-L, JR-F, MM, SC, AG, LAB, and JM-A
   were partially funded through several grants under co-PI JM-A including
   NSF INFEWS (USA) program grant number 1639268 (P.I. Characklis,
   UNC-Chapel Hill), USDA INFEWS (USA) grant number 2018-67004-27405 (P.I.
   Conklin, UC Merced), California Strategic Growth Council (USA) number
   CCRP0013 (P.I. McCullough, CalPoly San Luis Obispo), and University of
   California Merced School of Engineering (P.I. JM-A). KD was supported by
   NSF Graduate Research Fellowship (USA) number 1650042.
CR Allaire M, 2018, P NATL ACAD SCI USA, V115, P2078, DOI 10.1073/pnas.1719805115
   Allen MA, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2020.100768
   American Lung Association, 2020, STAT AIR
   [Anonymous], 2013, CALIFORNIA UNINCORPO
   Balazs CL, 2014, AM J PUBLIC HEALTH, V104, P603, DOI 10.2105/AJPH.2013.301664
   Balazs CL, 2013, ENVIRON JUSTICE, V6, P9, DOI 10.1089/env.2012.0017
   Bernacchi LA, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139529
   Bostic D., 2020, SUSTAINABLE WHOM IMP
   Bourque K, 2019, SCI TOTAL ENVIRON, V670, P865, DOI 10.1016/j.scitotenv.2019.03.197
   Brown EdmundG., 2020, CALIFORNIA AGR STAT
   Brunton CT, 2019, J PUBLIC HEALTH MAN, V25, P411, DOI 10.1097/PHH.0000000000001040
   Bryant BP, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00138
   Crockett JL, 2018, J CLIMATE, V31, P341, DOI 10.1175/JCLI-D-17-0254.1
   Cushing L, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002604
   Dahlquist-Willard R., 2017, COMMENTS E SAN JOAQU
   Dobbin KB, 2020, SOC NATUR RESOUR, V33, P1468, DOI 10.1080/08941920.2020.1772925
   Dobbin KB, 2021, POLICY STUD J, V49, P562, DOI 10.1111/psj.12375
   Duran B., 2013, Methods for community-based participatory research for health, V2nd
   Durose C., 2012, Towards co-production in research with communities (Connected Communities)
   Eissinger M. A., 2009, AFRICAN AM RURAL SAN
   Eissinger MA., 2017, RE COLLECTING EXAMIN
   Ekkel ED, 2017, LANDSCAPE URBAN PLAN, V157, P214, DOI 10.1016/j.landurbplan.2016.06.008
   Fernandez-Bou AS, 2021, ENVIRON SCI POLICY, V122, P92, DOI 10.1016/j.envsci.2021.04.014
   Flores-Landeros H, 2022, ENVIRON JUSTICE, V15, P337, DOI 10.1089/env.2021.0005
   Greene C, 2018, ENVIRON SCI POLICY, V89, P283, DOI 10.1016/j.envsci.2018.08.002
   Gunier RB, 2017, PLOS BIOL, V15, DOI 10.1371/journal.pbio.2004741
   Hall JV, 2008, J ENVIRON MANAGE, V88, P1003, DOI 10.1016/j.jenvman.2007.05.002
   Hatef E, 2020, FRONT PUBLIC HEALTH, V8, DOI 10.3389/fpubh.2020.571808
   Hibbett E, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.571614
   Huang GL, 2012, INT J ENV RES PUB HE, V9, P1593, DOI 10.3390/ijerph9051593
   Johnson EJ, 2017, INT MULTILING RES J, V11, P5, DOI 10.1080/19313152.2016.1258185
   Johnston-Dodds Kimberly., 2002, Early California Laws and Policies Related to California Indians
   Kaswan A., 2019, ABA Nat. Res. Environ. J., V12
   Kelch D.R., 2015, Locally sourced: The Crucial Role of Counties in the Health of Californians
   Lee KH, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249338
   Likens GE, 2010, FRONT ECOL ENVIRON, V8, pE1, DOI 10.1890/090132
   London J, 2013, GLOBAL ENVIRON CHANG, V23, P791, DOI 10.1016/j.gloenvcha.2013.03.001
   London JK, 2021, WATER ALTERN, V14, P520
   Lubell M, 2009, J AM PLANN ASSOC, V75, P293, DOI 10.1080/01944360902952295
   Lung-Amam WS, 2020, COMMUNITY DEV J, V55, P473, DOI 10.1093/cdj/bsy064
   Madley B., 2016, AM GENOCIDE US CALIF
   Martin P, 2002, INT MIGR REV, V36, P1124, DOI 10.1111/j.1747-7379.2002.tb00120.x
   Marwaha N, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028811
   Mayzelle MM, 2015, WATER-SUI, V7, P12, DOI 10.3390/w7010012
   Mendez-Barrientos LE, 2020, SOC NATUR RESOUR, V33, P1486, DOI 10.1080/08941920.2020.1756548
   OEHHA, 2021, CALENVIROSCREEN 4 0
   OEHHA, 2017, CALENVIROSCREEN 3 0
   Ores D., 2019, HASTINGS ENV LAW J, V25, P21
   Ortiz-Partida J. P., 2020, CLIMATE CHANGE SAN J
   Pannu C, 2012, CALIF LAW REV, V100, P223
   Pauloo RA, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6f10
   Perea JuanF., 2011, OHIO ST L J, V72, P95, DOI [10.2139/ssrn.1646496, DOI 10.2139/SSRN.1646496]
   Persad GG, 2020, CLIMATIC CHANGE, V162, P1493, DOI 10.1007/s10584-020-02882-4
   PHA, 2020, INV OUR LOC HLTH DEP
   Phillips CA, 2020, NAT CLIM CHANGE, V10, P586, DOI 10.1038/s41558-020-0804-2
   Ranganathan M, 2015, URBAN GEOGR, V36, P403, DOI 10.1080/02723638.2015.1005414
   Ray P, 2020, CLIMATIC CHANGE, V161, P177, DOI 10.1007/s10584-020-02655-z
   Sadd J, 2014, HEALTH EDUC BEHAV, V41, P281, DOI 10.1177/1090198113511816
   Shanahan EA, 2008, POLICY SCI, V41, P115, DOI 10.1007/s11077-008-9058-y
   Simon Z. B., 2020, EPOCHAL EVENT TRANSF
   SJV Air Pollution Control District, 2020, ANN REP 2019 20 SAN
   Smith R, 2018, NAT COMMUN, V9, DOI [10.1038/s41467-018-04475-3, 10.1038/S41467-018-04475-3]
   Sowerwine J, 2015, AGR HUM VALUES, V32, P579, DOI 10.1007/s10460-014-9578-3
   Tariqi AQ, 2021, ENVIRON ENG SCI, V38, P377, DOI 10.1089/ees.2020.0315
   Tauginiene L, 2020, PALGR COMMUN, V6, DOI 10.1057/s41599-020-0471-y
   Thao C, 2019, J INTEGR PEST MANAG, V10, DOI 10.1093/jipm/pmz030
   TNC, 2018, MANAGED AQUIFER RECH
   Ulibarri N, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR029292
   Ulibarri N, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020180
NR 69
TC 6
Z9 7
U1 4
U2 6
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD SEP 6
PY 2021
VL 3
AR 717554
DI 10.3389/fclim.2021.717554
PG 9
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA L2SH7
UT WOS:001021803900001
OA gold
DA 2025-01-10
ER

PT J
AU Török, P
   Brudvig, LA
   Kollmann, J
   Price, JN
   Tóthmérész, B
AF Torok, Peter
   Brudvig, Lars A.
   Kollmann, Johannes
   N. Price, Jodi
   Tothmeresz, Bela
TI The present and future of grassland restoration
SO RESTORATION ECOLOGY
LA English
DT Article
DE climate change; disturbance management; dryland restoration; global
   restoration agenda; plant invasion; post&#8208; restoration management
ID DIVERSITY; LONG
AB Grasslands contribute greatly to biodiversity and human livelihoods; they support 70% of the world's agricultural area, but are heavily degraded by human land use. Grassland restoration research and management receives less attention than forests or freshwater habitats, although grasslands are critical for sustaining ecosystems multifunctionality and capacity to support biodiversity. In this article, we introduce a Special Issue which considers major trends and prospects in grassland restoration. We identified three key topics: First, restoration must confront widespread seed and site limitations, and new monitoring methods, including remote sensing techniques, are critical for restoration projects. Second, we highlight that restored grasslands typically require ongoing disturbance management and that research is required to determine optimal approaches for implementing this management during restoration. Third, global and regional restoration agendas should be harmonized with site-level goals, and syntheses of current knowledge and research needs must guide grassland restoration across scales. We also identify research gaps to be filled, and challenges which grasslands face in the future: (1) a need for careful target vegetation selection and climate-adaptive restoration; (2) lack of knowledge in dynamics and restoration of several regions and grassland types, including drylands and (sub)tropical regions; (3) increased importance of species arrival sequence, and high stochasticity of species establishment; and finally (4) issues of post-restoration management to guarantee long-term sustainability of restored sites. A new generation of research and restoration projects to bridge these gaps is necessary to mitigate environmental challenges spanning localities to the globe as we commence the UN Decade on Ecosystem Restoration.
C1 [Torok, Peter] MTA DE Lendulet Funct & Restorat Ecol Res Grp, Egyet Sqr 1, H-4032 Debrecen, Hungary.
   [Torok, Peter; Tothmeresz, Bela] Univ Debrecen, Dept Ecol, Egyet Sqr 1, H-4032 Debrecen, Hungary.
   [Brudvig, Lars A.] Michigan State Univ, Dept Plant Biol, Plant Biol Labs 368, 612 Wilson Rd, E Lansing, MI 48824 USA.
   [Brudvig, Lars A.] Michigan State Univ, Program Ecol Evolut & Behav, Plant Biol Labs 368, 612 Wilson Rd, E Lansing, MI 48824 USA.
   [Kollmann, Johannes] Tech Univ Munich, Sch Life Sci, Chair Restorat Ecol, Emil Ramann Str 6, D-85354 Freising Weihenstephan, Germany.
   [N. Price, Jodi] Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW 2640, Australia.
   [Tothmeresz, Bela] MTA DE Biodivers & Ecosyst Serv Res Grp, Egyet Sqr 1, H-4032 Debrecen, Hungary.
C3 University of Debrecen; Michigan State University; Michigan State
   University; Technical University of Munich; Charles Sturt University;
   MTA-DE Biodiversity & Ecosystem Services Research Group
RP Török, P (corresponding author), MTA DE Lendulet Funct & Restorat Ecol Res Grp, Egyet Sqr 1, H-4032 Debrecen, Hungary.; Török, P (corresponding author), Univ Debrecen, Dept Ecol, Egyet Sqr 1, H-4032 Debrecen, Hungary.
EM molinia@gmail.com
RI Tóthmérész, Béla/A-5114-2009; Torok, Peter/C-5514-2008; Kollmann,
   Johannes/B-4255-2012
OI Torok, Peter/0000-0002-4428-3327; Tothmeresz, Bela/0000-0002-4766-7668;
   Kollmann, Johannes/0000-0002-4990-3636; Brudvig,
   Lars/0000-0002-3857-2165; Price, Jodi/0000-0003-2899-7693
CR Alignan J-F., 2021, RESTOR ECOL, V29
   Bakker JP, 1999, TRENDS ECOL EVOL, V14, P63, DOI 10.1016/S0169-5347(98)01544-4
   Bengtsson J, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2582
   Blackburn RC, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13339
   Blackburn RC, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13161
   Borer ET, 2014, NATURE, V508, P517, DOI 10.1038/nature13144
   Brancalion PHS, 2020, J APPL ECOL, V57, P2349, DOI 10.1111/1365-2664.13725
   Brudvig LA., 2021, RESTOR ECOL, V29
   Brudvig LA, 2017, J APPL ECOL, V54, P1018, DOI 10.1111/1365-2664.12938
   Brudvig LA, 2011, AM J BOT, V98, P549, DOI 10.3732/ajb.1000285
   Collins SL, 1998, SCIENCE, V280, P745, DOI 10.1126/science.280.5364.745
   Cooke SJ, 2019, CONSERV SCI PRACT, V1, DOI 10.1111/csp2.129
   Dengler J, 2014, AGR ECOSYST ENVIRON, V182, P1, DOI 10.1016/j.agee.2013.12.015
   Dixon AP, 2014, J BIOGEOGR, V41, P2003, DOI 10.1111/jbi.12381
   Durigan G., 2021, RESTOR ECOL, V29
   Fynn RWS, 2004, APPL VEG SCI, V7, P1, DOI 10.1111/j.1654-109X.2004.tb00589.x
   Gill AM., 2002, FLAMMABLE AUSTR FIRE
   Habel JC, 2013, BIODIVERS CONSERV, V22, P2131, DOI 10.1007/s10531-013-0537-x
   Halassy M., 2021, RESTOR ECOL, V29
   Helm A, 2015, DIVERS DISTRIB, V21, P711, DOI 10.1111/ddi.12285
   Hernandez E, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13353
   Jones HP, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2017.2577
   Kiehl K, 2010, BASIC APPL ECOL, V11, P285, DOI 10.1016/j.baae.2009.12.004
   Koerner SE, 2014, ECOLOGY, V95, P98, DOI 10.1890/13-0526.1
   Menz MHM, 2013, SCIENCE, V339, P526, DOI 10.1126/science.1228334
   Morgan JW, 2015, LAND OF SWEEPING PLAINS: MANAGING AND RESTORING THE NATIVE GRASSLANDS OF SOUTH-EASTERN AUSTRALIA, P201
   Morgan JW, 1998, AUST J BOT, V46, P609, DOI 10.1071/BT97057
   Morgan JW., 2021, RESTOR ECOL, V29
   Overbeck GE, 2013, NAT CONSERVACAO, V11, P92, DOI 10.4322/natcon.2013.015
   Prach K., 2021, RESTOR ECOL, V29
   Pywell RF, 2002, J APPL ECOL, V39, P294, DOI 10.1046/j.1365-2664.2002.00718.x
   Pywell RF., 2021, RESTOR ECOL, V29
   Seabloom EW, 2003, ECOL APPL, V13, P575, DOI 10.1890/1051-0761(2003)013[0575:CSLDAR]2.0.CO;2
   Silveira FAO, 2020, RESTOR ECOL, V28, P1067, DOI 10.1111/rec.13202
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Suding K, 2015, SCIENCE, V348, P638, DOI 10.1126/science.aaa4216
   Temperton VM, 2019, RESTOR ECOL, V27, P705, DOI 10.1111/rec.12989
   Torok K., 2021, RESTOR ECOL, V29
   Torok P., 2021, RESTOR ECOL, V29
   Török P, 2020, J VEG SCI, V31, P935, DOI 10.1111/jvs.12958
   Török P, 2017, BIOL CONSERV, V206, P85, DOI 10.1016/j.biocon.2016.12.024
   Török P, 2011, BIODIVERS CONSERV, V20, P2311, DOI 10.1007/s10531-011-9992-4
   Trk P., 2018, Grasslands of the World: Diversity, Management and Conservation, P15, DOI DOI 10.1016/J.FLORA.2020.151685
   Valkó O, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13192
   Wagner M., 2021, RESTOR ECOL, V29
   Walther GR, 2009, TRENDS ECOL EVOL, V24, P686, DOI 10.1016/j.tree.2009.06.008
   Weidlich EWA, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13317
   Wilsey B., 2021, RESTOR ECOL, V29
   Young TP., 2021, RESTOR ECOL, V29
   Zhao YY, 2020, LANDSCAPE ECOL, V35, P793, DOI 10.1007/s10980-020-00980-3
NR 50
TC 102
Z9 108
U1 12
U2 183
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1061-2971
EI 1526-100X
J9 RESTOR ECOL
JI Restor. Ecol.
PD APR
PY 2021
VL 29
SU 1
SI SI
AR e13378
DI 10.1111/rec.13378
PG 6
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA RT1MD
UT WOS:000644229400006
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU He, BW
   Ding, KJ
AF He, Bowen
   Ding, Ke J.
TI Localize the Impact of Global Greenhouse Gases Emissions under an
   Uncertain Future: A Case Study in Western Cape, South Africa
SO EARTH
LA English
DT Article
DE greenhouse gas (GHG); CO2 emissions; RCP; precipitation; evaporation;
   water balance; South Africa; Western Cape
ID CLIMATE-CHANGE; WATER; PERCEPTIONS; ADAPTATION; DROUGHT
AB The growing impact of CO2 and other greenhouse-gas (GHG) emissions on the socio-climate system in the Western Cape, South Africa, urgently calls for the need for better climate adaptation and emissions-reduction strategies. While the consensus has been that there is a strong correlation between CO2 emissions and the global climate system, few studies on climate change in the Western Cape have quantified the impact of climate change on local climate metrics such as precipitation and evaporation under different future climate scenarios. The present study investigates three different CO2 emissions scenarios: Representative Concentration Pathway (RCP) 2.6, RCP 4.5, and RCP 8.5, from moderate to severe, respectively. Specifically, we used climate metrics including precipitation, daily mean and maximum near-surface air temperature, and evaporation to evaluate the future climate in Western Cape under each different RCP climate scenario. The projected simulation results reveal that temperature-related metrics are more sensitive to CO2 emissions than water-related metrics. Districts closer to the south coast are more resilient to severer GHG emissions scenarios compared to inland areas regarding temperature and rainfall; however, coastal regions are more likely to suffer from severe droughts such as the "Day-Zero" water crisis. As a result, a robust drying signal across the Western Cape region is likely to be seen in the second half of the 21st century, especially under the scenario of RCP 8.5 (business as usual) without efficient emissions reduction policies.
C1 [He, Bowen] Vanderbilt Univ, Dept Civil & Environm Engn, Nashville, TN 37235 USA.
   [Ding, Ke J.] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA.
C3 Vanderbilt University; Iowa State University
RP He, BW (corresponding author), Vanderbilt Univ, Dept Civil & Environm Engn, Nashville, TN 37235 USA.
EM bowen.he@vanderbilt.edu; keding@iastate.edu
OI Ding, Ke/0000-0002-2396-2144; He, Bowen/0000-0002-8352-0209
CR [Anonymous], 2005, A Status Quo, Vulnerability and Adaptation Assessment of the Physical and Socio-Economic Effects of Climate Change in the Western Cape
   Araujo JA, 2016, THEOR APPL CLIMATOL, V123, P117, DOI 10.1007/s00704-014-1336-3
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Ayugi B, 2020, ATMOS RES, V232, DOI 10.1016/j.atmosres.2019.104705
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Blamey RC, 2018, J HYDROMETEOROL, V19, P127, DOI [10.1175/JHM-D-17-0111.1, 10.1175/jhm-d-17-0111.1]
   Bohatch T., 2017
   Botai CM, 2018, S AFR J SCI, V114, P70, DOI 10.17159/sajs.2018/20170391
   Dennis I, 2012, WATER SA, V38, P417, DOI 10.4314/wsa.v38i3.7
   Diab R, 2018, J ENERGY SOUTH AFR, V29, P84, DOI 10.17159/2413-3051/2018/v29i2a4910
   Ding K, 2019, WINT SIMUL C PROC, P866, DOI 10.1109/WSC40007.2019.9004889
   Ding KJ, 2019, EARTHS FUTURE, V7, P1071, DOI 10.1029/2019EF001184
   Directorate Statistics Analysis Economic, 2013, Abstract of Agricultural Statistics: 2013
   Giorgetta MA, 2013, J ADV MODEL EARTH SY, V5, P572, DOI 10.1002/jame.20038
   Gnitou GT, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10120802
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hornberger G.M., 2014, Elements of physical hydrology
   Hurry L, 1982, SO AFRICAS WEATHER P
   Meterlekamp L., 2011, Maters' Thesis
   MILLY PCD, 1994, ADV WATER RESOUR, V17, P19, DOI 10.1016/0309-1708(94)90020-5
   Naik M, 2020, METEOROL APPL, V27, DOI 10.1002/met.1802
   Nhemachena C., 2014, Journal of Development and Agricultural Economics, V6, P232
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Ogega OM, 2020, CLIM DYNAM, V55, P993, DOI 10.1007/s00382-020-05309-z
   Pascale S, 2020, P NATL ACAD SCI USA, V117, P29495, DOI 10.1073/pnas.2009144117
   Pendergrass AG, 2015, GEOPHYS RES LETT, V42, P8767, DOI 10.1002/2015GL065854
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   RStudio Team, 2020, RSTUDIO INT DEV ENV
   Statistics South Africa, 2020, MID POP EST
   Taing LN, 2019, URBAN WATER J, V16, P530, DOI 10.1080/1573062X.2019.1669190
   Talanow K, 2021, J RURAL STUD, V81, P203, DOI 10.1016/j.jrurstud.2020.10.026
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 36
TC 9
Z9 11
U1 0
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2673-4834
J9 EARTH-BASEL
JI Earth
PD MAR
PY 2021
VL 2
IS 1
BP 111
EP 123
DI 10.3390/earth2010007
PG 13
WC Environmental Sciences; Geosciences, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geology
GA Z1XK4
UT WOS:001110078000001
OA gold
DA 2025-01-10
ER

PT J
AU Komurcu, M
   Schlosser, CA
   Alshehri, I
   Alshahrani, T
   Alhayaza, W
   AlSaati, A
   Strzepek, K
AF Komurcu, Muge
   Schlosser, C. Adam
   Alshehri, Ibtihal
   Alshahrani, Tariq
   Alhayaza, Waleed
   AlSaati, Adnan
   Strzepek, Kenneth
TI Mid-Century Changes in the Mean and Extreme Climate in the Kingdom of
   Saudi Arabia and Implications for Water Harvesting and Climate
   Adaptation
SO ATMOSPHERE
LA English
DT Article
DE convection-permitting regional climate modeling; climate projections;
   Arabian Peninsula; climate extremes; water harvesting
ID DATA ASSIMILATION; TEMPERATURE; PRECIPITATION; VARIABILITY; PERFORMANCE;
   TRENDS; IMPACT
AB The Kingdom of Saudi Arabia (KSA) is a water-scarce region with a dry, desert climate, yet flood-producing precipitation events and heat extremes lead to loss of life and damages to local infrastructure, property and economy. Due to its distinctive natural and man-made spatial features (e.g., coastal features, wadis, agricultural areas) studying changes in the mean climate and extreme events requires higher-resolution climate projections than those available from the current generation of Earth System Models. Here, a high-resolution convection-permitting regional climate model is used to downscale the middle of the 21st century (2041-2050) climate projections of the Community Earth System Model (CESM) under representative concentration pathway (RCP) 8.5 and for a historical time period (2008-2017) focusing on two months (August and November) within KSA's dry-hot and wet seasons, where extreme events have historically been observed more frequently. Downscaling of climate reanalysis is also performed for the historical time period (2008-2017) to evaluate the downscaling methodology. An increase in the intensity and frequency of precipitation events is found in August by mid-century, particularly along the mountainous western coast of KSA, suggesting potential for water harvesting. Conversely, the northern flank of the Empty Quarter experiences a noticeable reduction in mean and extreme precipitation rates during the wet season. Increasing August heat index is found to particularly make regional habitability difficult in Jeddah by mid-century.
C1 [Komurcu, Muge; Schlosser, C. Adam; Strzepek, Kenneth] MIT, Joint Program Sci & Policy Global Change, Ctr Global Change Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
   [Alshehri, Ibtihal; Alshahrani, Tariq; Alhayaza, Waleed; AlSaati, Adnan] King Abdulaziz City Sci & Technol, Ctr Complex Engn Syst, Riyadh 11442, Saudi Arabia.
C3 Massachusetts Institute of Technology (MIT)
RP Komurcu, M (corresponding author), MIT, Joint Program Sci & Policy Global Change, Ctr Global Change Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM muge@mit.edu; casch@mit.edu; ibtihal@mit.edu;
   t.alshahrani@cces-kacst-mit.org; alhayaza@mit.edu; adnana@mit.edu;
   strzepek@mit.edu
OI Schlosser, Adam/0000-0002-3205-0542
FU Center for Complex Engineering Systems (CCES) at the King Abdulaziz City
   for Science and Technology (KACST); Massachusetts Institute of
   Technology (MIT)
FX Funding for this project was provided through the Center for Complex
   Engineering Systems (CCES) at the King Abdulaziz City for Science and
   Technology (KACST) and the Massachusetts Institute of Technology (MIT).
CR AIRS Science Team/Joao Teixeira, 2013, AIRS AQUA L3 MONTHL
   Almazroui M, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/5395676
   Almazroui M, 2011, ATMOS RES, V99, P400, DOI 10.1016/j.atmosres.2010.11.006
   Almazroui M, 2016, INT J CLIMATOL, V36, P236, DOI 10.1002/joc.4340
   Almazroui M, 2014, INT J CLIMATOL, V34, P808, DOI 10.1002/joc.3722
   Almazroui M, 2013, INT J CLIMATOL, V33, P2247, DOI 10.1002/joc.3721
   Almazroui M, 2012, INT J CLIMATOL, V32, P953, DOI 10.1002/joc.3446
   Alsarhan A., 2016, 3 NATL COMMUNICATION
   Alsarraf H., 2015, J. Climatol. Weather Forecast, V3, P144, DOI DOI 10.4172/2332-2594.1000144
   [Anonymous], 2010, GEOPHYS RES LETT, DOI DOI 10.1029/2009GL042194
   Attada R, 2020, J HYDROMETEOROL, V21, P1089, DOI 10.1175/JHM-D-19-0114.1
   Bieniek PA, 2016, J APPL METEOROL CLIM, V55, P635, DOI 10.1175/JAMC-D-15-0153.1
   Bruyere C.L., 2015, TN515STR NAT CTR ATM
   Bruyère CL, 2014, CLIM DYNAM, V43, P1847, DOI 10.1007/s00382-013-2011-6
   Bucchignani E, 2018, ADV CLIM CHANG RES, V9, P66, DOI 10.1016/j.accre.2018.01.004
   Buzan JR, 2015, GEOSCI MODEL DEV, V8, P151, DOI 10.5194/gmd-8-151-2015
   Buzan JR, 2020, ANNU REV EARTH PL SC, V48, P623, DOI 10.1146/annurev-earth-053018-060100
   Daoudi M., 2018, FLOOD RISK VULNERABI, P634
   de Vries AJ, 2016, Q J ROY METEOR SOC, V142, P1862, DOI 10.1002/qj.2781
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Deng LP, 2015, J HYDROMETEOROL, V16, P615, DOI 10.1175/JHM-D-14-0126.1
   Dezfuli AK, 2017, J HYDROMETEOROL, V18, P819, DOI 10.1175/JHM-D-16-0165.1
   Donat MG, 2014, INT J CLIMATOL, V34, P581, DOI 10.1002/joc.3707
   European Centre for Medium-Range Weather Forecasts, 2019, CISL RDA
   European Centre for Medium-Range Weather Forecasts, 2012, CISL RDA
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   Hartmann DL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P159
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hong SY, 2006, MON WEATHER REV, V134, P2318, DOI 10.1175/MWR3199.1
   Hou AY, 2014, B AM METEOROL SOC, V95, P701, DOI 10.1175/BAMS-D-13-00164.1
   Huffman G.J., 2019, GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V06, DOI [10.5067/GPM/IMERGDF/DAY/ 06, DOI 10.5067/GPM/IMERGDF/DAY/06]
   Iacono MJ, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD009944
   Kahn BH, 2014, ATMOS CHEM PHYS, V14, P399, DOI 10.5194/acp-14-399-2014
   Kain JS, 2004, J APPL METEOROL, V43, P170, DOI 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
   Komurcu M, 2018, EARTH SPACE SCI, V5, P801, DOI 10.1029/2018EA000426
   홍성유, 2006, [Asia-Pacific Journal of Atmospheric Sciences, 한국기상학회지], V42, P129
   Lorenz C, 2012, J HYDROMETEOROL, V13, P1397, DOI 10.1175/JHM-D-11-088.1
   Mashat A., 2011, J KING ABDULAZIZ U M, V22, P59, DOI [DOI 10.4197/MET.22-2.4, 10.4197/met.22-2.4]
   Momani N.M., 2010, J SOCIAL SCI, V6, P424
   Monaghan AJ, 2014, CISL RDA
   Pal JS, 2016, NAT CLIM CHANGE, V6, P197, DOI [10.1038/NCLIMATE2833, 10.1038/nclimate2833]
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Rothfusz L.P., 1990, NATL WEATHER SERVICE
   Sebai Z.A., 1998, TROP DOC, V18, P183, DOI [10.1177/0049475588018004153194952, DOI 10.1177/0049475588018004153194952]
   Sen Z, 2013, ARAB J GEOSCI, V6, P287, DOI 10.1007/s12517-011-0354-z
   Shafiqur Rehman Shafiqur Rehman, 2012, Atmospheric and Climate Sciences, V2, P351
   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]
   Soares PMM, 2012, CLIM DYNAM, V39, P2497, DOI 10.1007/s00382-012-1315-2
   STEADMAN RG, 1979, J APPL METEOROL, V18, P861, DOI 10.1175/1520-0450(1979)018<0861:TAOSPI>2.0.CO;2
   Stocker, 2014, CLIMATE CHANGE 2013
   Sun QH, 2018, REV GEOPHYS, V56, P79, DOI 10.1002/2017RG000574
   Syed FS, 2019, CLIM DYNAM, V53, P7045, DOI 10.1007/s00382-019-04974-z
   Tarawneh QY, 2018, CLIMATE, V6, DOI 10.3390/cli6010008
   Yesubabu V, 2016, Q J ROY METEOR SOC, V142, P327, DOI 10.1002/qj.2654
NR 54
TC 4
Z9 4
U1 1
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD OCT
PY 2020
VL 11
IS 10
AR 1068
DI 10.3390/atmos11101068
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA OJ6HG
UT WOS:000584059300001
OA gold
DA 2025-01-10
ER

PT J
AU Rispail, N
   Montilla-Bascón, G
   Sánchez-Martín, J
   Flores, F
   Howarth, C
   Langdon, T
   Rubiales, D
   Prats, E
AF Rispail, Nicolas
   Montilla-Bascon, Gracia
   Sanchez-Martin, Javier
   Flores, Fernando
   Howarth, Catherine
   Langdon, Tim
   Rubiales, Diego
   Prats, Elena
TI Multi-Environmental Trials Reveal Genetic Plasticity of Oat Agronomic
   Traits Associated With Climate Variable Changes
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE agronomic traits; climate variables; genetic plasticity; genome wide
   association studies; oat
ID GENOME-WIDE ASSOCIATION; AVENA-SATIVA L.; POPULATION-STRUCTURE; LINKAGE
   DISEQUILIBRIUM; ENHANCED TOLERANCE; PUCCINIA-CORONATA; IRON
   AVAILABILITY; COMPLEX TRAITS; LOCI; STRATIFICATION
AB Although oat cultivation around the Mediterranean basin is steadily increasing, its yield in these regions lags far behind those of Northern Europe. This results mainly from the poor adaptation of current oat cultivars to Mediterranean environments. Local landraces may act as reservoirs of favorable traits that could contribute to increase oat resilience in this region. To aid selection of suitable agro-climate adapted genotypes we integrated genome-wide association approaches with analysis of field assessed phenotypes of genetic variants and of the weight of associated markers across different environmental variables. Association models accounting for oat population structure were applied on either arithmetic means or best linear unbiased prediction (BLUPs) to ensure robust identification of associations with the agronomic traits evaluated. The meta-analysis of the six joint environments (mega-environment) identified several markers associated with several agronomic traits and crown rust severity. Five of these associated markers were located within expressed genes. These associations were only mildly influenced by climatic variables indicating that these markers are good candidates to improve the genetic potential of oat under Mediterranean conditions. The models also highlighted several marker-trait associations, strongly affected by particular climatic variables including high rain pre- or post-heading dates and high temperatures, revealing strong potential for oat adaptation to specific agro-climatic conditions. These results will contribute to increase oat resilience for particular climatic conditions and facilitate breeding for plant adaptation to a wider range of climatic conditions in the current scenario of climate change.
C1 [Rispail, Nicolas; Montilla-Bascon, Gracia; Sanchez-Martin, Javier; Rubiales, Diego; Prats, Elena] CSIC, Inst Sustainable Agr, Cordoba, Spain.
   [Flores, Fernando] Univ Huelva, ETSI La Rabida, Palos De La Frontera, Spain.
   [Howarth, Catherine; Langdon, Tim] Aberystwyth Univ, Inst Biol Environm & Rural Sci, Aberystwyth, Dyfed, Wales.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Instituto
   de Agricultura Sostenible (IAS); Universidad de Huelva; Aberystwyth
   University; UK Research & Innovation (UKRI); Biotechnology and
   Biological Sciences Research Council (BBSRC); Institute of Biological,
   Environmental, Rural & Sciences (IBERS)
RP Prats, E (corresponding author), CSIC, Inst Sustainable Agr, Cordoba, Spain.
EM elena.prats@ias.csic.es
RI Langdon, Tim/M-5097-2019; Rubiales, Diego/C-7663-2009; Prats,
   Elena/N-4589-2014; Montilla-Bascon, Gracia/B-3662-2017; Sanchez Martin,
   Javier/Z-5922-2019; Flores Gil, Fernando/K-1953-2017; Rispail,
   Nicolas/I-4269-2014
OI Rubiales, Diego/0000-0001-9644-8616; Howarth,
   Catherine/0000-0001-9364-0880; Langdon, Tim/0000-0001-8236-5692; Prats,
   Elena/0000-0003-0717-4532; Montilla-Bascon, Gracia/0000-0001-5612-6698;
   Sanchez Martin, Javier/0000-0002-0284-7219; Flores Gil,
   Fernando/0000-0002-5247-2267; Rispail, Nicolas/0000-0001-8730-0273
FU Spanish MINECO - FEDER funds [AGL2016-78965AGR]; AGR-253 group; Spanish
   Ministry of Economy and competitiveness; BBSRC [BB/CSP1730/1]; BBSRC
   [BBS/OS/GC/000011A, BBS/E/W/0012843B, BBS/E/W/10962A01C,
   BBS/E/W/10961A01, BB/M000869/1, BBS/E/W/10962A01D, BB/H009582/1] Funding
   Source: UKRI; EPSRC [TS/I000798/1] Funding Source: UKRI
FX This work was funded by the Spanish MINECO (AGL2016-78965AGR), supported
   by FEDER funds and by the regional government through the AGR-253 group.
   FJCC is the holder of a FPI fellowship from the Spanish Ministry of
   Economy and competitiveness. NR is the holder of a Ramon y Cajal
   postdoctoral position from MINECO. CH and TL were supported by BBSRC
   BB/CSP1730/1.
CR Abiola O, 2003, NAT REV GENET, V4, P911, DOI 10.1038/nrg1206
   Achleitner A, 2008, THEOR APPL GENET, V117, P1041, DOI 10.1007/s00122-008-0843-y
   ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
   Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
   [Anonymous], 2015, OAT NEWSLETTER
   [Anonymous], 2015, FOOD AGR DATA
   [Anonymous], 2011, WILD CROP RELATIVES
   Badaeva ED, 2011, RUSS J GENET+, V47, P691, DOI 10.1134/S1022795411060068
   Barbosa-Neto JF, 2000, EUPHYTICA, V114, P67, DOI 10.1023/A:1003936220509
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Campbell CD, 2005, NAT GENET, V37, P868, DOI 10.1038/ng1607
   Cardon LR, 2003, LANCET, V361, P598, DOI 10.1016/S0140-6736(03)12520-2
   Chaffin AS, 2016, PLANT GENOME-US, V9, DOI 10.3835/plantgenome2015.10.0102
   Chisholm ST, 2006, CELL, V124, P803, DOI 10.1016/j.cell.2006.02.008
   Clark AM, 1999, PLANT CELL PHYSIOL, V40, P69, DOI 10.1093/oxfordjournals.pcp.a029476
   COFFMAN FRANKLIN A., 1955, AGRON JOUR, V47, P54
   Devlin B, 1999, BIOMETRICS, V55, P997, DOI 10.1111/j.0006-341X.1999.00997.x
   Devlin B, 2001, THEOR POPUL BIOL, V60, P155, DOI 10.1006/tpbi.2001.1542
   Falconer D.S., 1996, Quantitative Genetics
   Flint-Garcia SA, 2003, ANNU REV PLANT BIOL, V54, P357, DOI 10.1146/annurev.arplant.54.031902.134907
   Freedman ML, 2004, NAT GENET, V36, P388, DOI 10.1038/ng1333
   Hadfield JD, 2010, AM NAT, V175, P116, DOI 10.1086/648604
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   He XY, 2013, THEOR APPL GENET, V126, P2655, DOI 10.1007/s00122-013-2163-0
   Heberle H, 2015, BMC BIOINFORMATICS, V16, DOI 10.1186/s12859-015-0611-3
   Herrmann M, 1996, EUPHYTICA, V89, P405
   Hizbai BT, 2012, PLANT GENOME-US, V5, P164, DOI 10.3835/plantgenome2012.07.0015
   Holland JB, 2002, THEOR APPL GENET, V105, P113, DOI 10.1007/s00122-001-0845-5
   Holland JB, 1997, CROP SCI, V37, P1306, DOI 10.2135/cropsci1997.0011183X003700040047x
   Ingvarsson PK, 2011, NEW PHYTOL, V189, P909, DOI 10.1111/j.1469-8137.2010.03593.x
   Ishimaru Y, 2007, P NATL ACAD SCI USA, V104, P7373, DOI 10.1073/pnas.0610555104
   Jackson EW, 2010, PHYTOPATHOLOGY, V100, P484, DOI 10.1094/PHYTO-100-5-0484
   Kang HM, 2008, GENETICS, V178, P1709, DOI 10.1534/genetics.107.080101
   Klos KE, 2016, PLANT GENOME-US, V9, DOI 10.3835/plantgenome2015.10.0103
   Ladizinsky G., 2012, Studies in oat evolution: a man's life with Avena
   Loskutov IG, 2008, GENET RESOUR CROP EV, V55, P211, DOI 10.1007/s10722-007-9229-2
   Maher B, 2008, NATURE, V456, P18, DOI 10.1038/456018a
   Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
   McHale L, 2006, GENOME BIOL, V7, DOI 10.1186/gb-2006-7-4-212
   Montilla-Bascón G, 2013, PLANT MOL BIOL REP, V31, P1305, DOI 10.1007/s11105-013-0598-8
   Montilla-Bascón G, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00103
   Nava IC, 2012, MOL BREEDING, V30, P1295, DOI 10.1007/s11032-012-9715-x
   Newell MA, 2011, THEOR APPL GENET, V122, P623, DOI 10.1007/s00122-010-1474-7
   Newell MA, 2012, THEOR APPL GENET, V125, P1687, DOI 10.1007/s00122-012-1945-0
   Nikoloudakis N, 2016, GENET RESOUR CROP EV, V63, P801, DOI 10.1007/s10722-015-0284-9
   Nozoye T, 2011, J BIOL CHEM, V286, P5446, DOI 10.1074/jbc.M110.180026
   Price AL, 2006, NAT GENET, V38, P904, DOI 10.1038/ng1847
   R Core Team, 2017, R LANG ENV STAT COMP
   Reed E, 2015, STAT MED, V34, P3769, DOI 10.1002/sim.6605
   Reich DE, 2001, GENET EPIDEMIOL, V20, P4, DOI 10.1002/1098-2272(200101)20:1<4::AID-GEPI2>3.0.CO;2-T
   Sánchez-Martín J, 2014, FIELD CROP RES, V156, P111, DOI 10.1016/j.fcr.2013.10.018
   Sánchez-Martín J, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-016-0407-5
   Sanz MJ, 2010, THEOR APPL GENET, V121, P1541, DOI 10.1007/s00122-010-1409-3
   Shenker M, 2005, SOIL SCI PLANT NUTR, V51, P1, DOI 10.1111/j.1747-0765.2005.tb00001.x
   Simons M.D., 1985, The Cereal Rusts Vol II: Diseases, distribution, epidemiology and control, P131, DOI [DOI 10.1016/B978-0-12-148402-6.50013-4, 10.1016/B978-0-12-148402-6.50013-4]
   Siripoonwiwat W., 1996, Journal of Agricultural Genomics, V2, P3
   Snowdon RJ, 2004, PLANT BREEDING, V123, P1, DOI 10.1111/j.1439-0523.2003.00968.x
   Stevens EJ., 2004, Fodder oats: a world overview, P1
   Storey JD, 2002, J ROY STAT SOC B, V64, P479, DOI 10.1111/1467-9868.00346
   Takahashi M, 2001, NAT BIOTECHNOL, V19, P466, DOI 10.1038/88143
   Tanhuanpää P, 2012, GENOME, V55, P289, DOI [10.1139/G2012-017, 10.1139/g2012-017]
   TERBRAAK CJF, 1986, ECOLOGY, V67, P1167
   Tinker NA, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-39
   Tumino G, 2017, EUPHYTICA, V213, DOI 10.1007/s10681-017-1939-8
   Tumino G, 2016, THEOR APPL GENET, V129, P1711, DOI 10.1007/s00122-016-2734-y
   Wight CP, 2010, CROP SCI, V50, P1207, DOI 10.2135/cropsci2009.09.0474
   Winkler LR, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01077
   Wooten DR, 2009, CROP SCI, V49, P1989, DOI 10.2135/cropsci2008.10.0612
   Wooten DR, 2008, CROP SCI, V48, P149, DOI 10.2135/cropsci2006.12.0793
   Yang J, 2011, EUR J HUM GENET, V19, P807, DOI 10.1038/ejhg.2011.39
   Zhang ZW, 2010, NAT GENET, V42, P355, DOI 10.1038/ng.546
   Zheng G, 2006, AM J HUM GENET, V78, P350, DOI 10.1086/500054
   Zondervan KT, 2004, NAT REV GENET, V5, P89, DOI 10.1038/nrg1270
NR 74
TC 14
Z9 18
U1 4
U2 25
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 SEP 19
PY 2018
VL 9
AR 1358
DI 10.3389/fpls.2018.01358
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA GU1AD
UT WOS:000444985800001
PM 30283476
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tan, ML
   Ibrahim, A
   Yusop, Z
   Chua, VP
   Chan, NW
AF Tan, Mou Leong
   Ibrahim, Ab Latif
   Yusop, Zulkifli
   Chua, Vivien P.
   Chan, Ngai Weng
TI Climate change impacts under CMIP5 RCP scenarios on water resources of
   the Kelantan River Basin, Malaysia
SO ATMOSPHERIC RESEARCH
LA English
DT Article
DE Climate change; CMIP5; RCP; SWAT; Kelantan; Water resources
ID MODEL; SWAT; STREAMFLOW; UNCERTAINTY; EVAPOTRANSPIRATION; PROJECTIONS;
   CALIBRATION; VEGETATION; RESOLUTION; HYDROLOGY
AB This study aims to evaluate the potential impacts of climate change on water resources of the Kelantan River Basin in north-eastern Peninsular Malaysia using the Soil and Water Assessment Tool (SWAT) model. Thirty-six downscaled climate projections from five General Circulation Models (GCMs) under the three Representative Concentration Pathways (RCPs) 2.6;4.5 and 8.5 scenarios for the periods of 2015-2044 and 2045-2074 were incorporated into the calibrated SWAT model. Differences of these scenarios were calculated by comparing to the 1975-2004 baseline period. Overall, the SWAT model performed well in monthly streamflow simulation, with the Nash-Sutcliffe efficiency values of 0.75 and 0.63 for calibration and validation, respectively. Based on the ensemble of five GCMs, the annual rainfall and maximum temperature are projected to increase by 1.2-8.7% and 0.6-2.1 C-omicron, respectively. This corresponds to the increases in the annual streamflow (14.6-272%), evapotranspiration (0.3-2.7%), surface runoff (46.8-90.2%) and water yield (142-26.5%) components. The study shows an increase of monthly rainfall during the wet season, and decrease during the dry season. Therefore, the monthly streamflow and surface runoff are likely to increase significantly in November, December and January. In addition, slight decreases in the monthly water yield are found between June and October (1.9-8.9%) during the 2015-2044 period. These findings could act as a scientific reference to develop better climate adaptation strategies. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Tan, Mou Leong; Chua, Vivien P.] Natl Univ Singapore, Dept Civil & Environm Engn, 1 Engn Dr 2, Singapore, Singapore.
   [Tan, Mou Leong; Ibrahim, Ab Latif] Univ Teknol Malaysia, Res Inst Sustainable Environm, Geosci & Digital Earth Ctr, Johor Baharu, Malaysia.
   [Yusop, Zulkifli] Univ Teknol Malaysia, Res Inst Sustainable Environm, Ctr Environm Sustainabil & Water Secur, Johor Baharu, Malaysia.
   [Chan, Ngai Weng] Univ Sains Malaysia, Sch Humanities, Geog Sect, George Town, Malaysia.
C3 National University of Singapore; Universiti Teknologi Malaysia;
   Universiti Teknologi Malaysia; Universiti Sains Malaysia
RP Tan, ML (corresponding author), Natl Univ Singapore, Dept Civil & Environm Engn, 1 Engn Dr 2, Singapore, Singapore.
EM mouleong@gmail.com
RI Chan, Ngai/AAW-9897-2020; Tan, Mou Leong/N-4678-2017
OI Affandy, Nur Azizah/0000-0001-7237-9142; Tan, Mou
   Leong/0000-0003-3939-0336; Chan, Ngai Weng/0000-0003-3257-3922
FU Ministry of Higher Education Malaysia; Universiti Teknologi Malaysia
   under the Transdisciplinary Research Grant Scheme [R.J130000.7809.4L835]
FX This research was supported by the Ministry of Higher Education Malaysia
   and Universiti Teknologi Malaysia under the Transdisciplinary Research
   Grant Scheme (R.J130000.7809.4L835). The authors would like to thank to
   the MMD, DID, JUPEM and DOA for supplying hydro-climatic data,
   topographic, land use and soil maps for this study. The authors also
   wish to thank the CMIP5 project for providing future climate data. The
   authors acknowledge the 2016 Summer Institute for Disaster and Risk
   Research fellowship for the opportunity to work in the Beijing Normal
   University, China. Special thanks to the reviewers for their helpful
   comments and suggestions.
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour K. C., 2015, SWAT CAL UNC PROGR A
   Adnan NA, 2011, INT J CLIMATOL, V31, P815, DOI 10.1002/joc.2112
   Al-Mukhtar M, 2014, WATER RESOUR MANAG, V28, P2731, DOI 10.1007/s11269-014-0675-2
   [Anonymous], INT J CLIMA IN PRESS
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Basheer AK, 2016, HYDROL EARTH SYST SC, V20, P1331, DOI 10.5194/hess-20-1331-2016
   BOSCH JM, 1982, J HYDROL, V55, P3, DOI 10.1016/0022-1694(82)90117-2
   Chan NW, 2012, INT J WATER RESOUR D, V28, P343, DOI 10.1080/07900627.2012.668643
   Fukunaga DC, 2015, CATENA, V125, P206, DOI 10.1016/j.catena.2014.10.032
   Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
   Giambelluca TW, 2016, WATER RESOUR RES, V52, P660, DOI 10.1002/2015WR017755
   Her Y, 2015, T ASABE, V58, P367
   Hirano T, 2015, GLOBAL CHANGE BIOL, V21, P1914, DOI 10.1111/gcb.12653
   Ho JT, 2016, HYDROLOG SCI J, V61, P551, DOI 10.1080/02626667.2015.1057513
   Kingston DG, 2011, HYDROL EARTH SYST SC, V15, P1459, DOI 10.5194/hess-15-1459-2011
   Krysanova V, 2015, HYDROLOG SCI J, V60, P771, DOI 10.1080/02626667.2015.1029482
   Legates DR, 1999, WATER RESOUR RES, V35, P233, DOI 10.1029/1998WR900018
   Memarian H, 2014, HYDROLOG SCI J, V59, P1808, DOI 10.1080/02626667.2014.892598
   Mishra V, 2016, GLOBAL PLANET CHANGE, V139, P78, DOI 10.1016/j.gloplacha.2016.01.003
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Neitsch S.L., 2011, SOIL WATER ASSESSMEN
   Nyeko M, 2015, WATER RESOUR MANAG, V29, P81, DOI 10.1007/s11269-014-0828-3
   Ouyang F, 2015, STOCH ENV RES RISK A, V29, P1781, DOI 10.1007/s00477-014-1018-9
   Paramananthan S., 2000, SOIL MALAYSIA THEIR, V1
   Paterson RRM, 2015, SCI REP-UK, V5, DOI 10.1038/srep14457
   Pierce DW, 2009, P NATL ACAD SCI USA, V106, P8441, DOI 10.1073/pnas.0900094106
   Pushpalatha R, 2012, J HYDROL, V420, P171, DOI 10.1016/j.jhydrol.2011.11.055
   Sellami H, 2016, SCI TOTAL ENVIRON, V543, P924, DOI 10.1016/j.scitotenv.2015.07.006
   Shaaban AJ, 2011, J HYDROL ENG, V16, P1040, DOI 10.1061/(ASCE)HE.1943-5584.0000305
   Siew JH, 2014, INT J CLIMATOL, V34, P2872, DOI 10.1002/joc.3880
   Strauch M, 2013, ECOL MODEL, V269, P98, DOI 10.1016/j.ecolmodel.2013.08.013
   Suhaila J, 2010, METEOROL ATMOS PHYS, V110, P1, DOI 10.1007/s00703-010-0108-6
   Sun G, 2006, J HYDROL, V328, P548, DOI 10.1016/j.jhydrol.2005.12.013
   Tan ML, 2017, WATER-SUI, V9, DOI 10.3390/w9010057
   Tan ML, 2015, APPL GEOGR, V63, P357, DOI 10.1016/j.apgeog.2015.07.014
   Tan ML, 2015, HYDROLOG SCI J, V60, P873, DOI 10.1080/02626667.2014.967246
   Tan ML, 2014, J WATER CLIM CHANGE, V5, P676, DOI 10.2166/wcc.2014.020
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Wilby RL, 2002, ENVIRON MODELL SOFTW, V17, P147
   Willmott CJ, 2015, ENVIRON MODELL SOFTW, V73, P167, DOI 10.1016/j.envsoft.2015.08.012
   Winchell M., 2013, ARCSWAT INTERFACE SW
   Xu CY, 1999, WATER RESOUR MANAG, V13, P369, DOI 10.1023/A:1008190900459
   Yesuf HM, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5636-z
   Zhang DJ, 2015, ECOL MODEL, V301, P54, DOI 10.1016/j.ecolmodel.2015.01.018
   Zhang YQ, 2016, ATMOS RES, V178, P521, DOI 10.1016/j.atmosres.2016.04.018
NR 47
TC 143
Z9 147
U1 1
U2 83
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0169-8095
EI 1873-2895
J9 ATMOS RES
JI Atmos. Res.
PD JUN 1
PY 2017
VL 189
BP 1
EP 10
DI 10.1016/j.atmosres.2017.01.008
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA EQ3XN
UT WOS:000398007400001
DA 2025-01-10
ER

PT J
AU Sork, VL
   Squire, K
   Gugger, PF
   Steele, SE
   Levy, ED
   Eckert, AJ
AF Sork, Victoria L.
   Squire, Kevin
   Gugger, Paul F.
   Steele, Stephanie E.
   Levy, Eric D.
   Eckert, Andrew J.
TI Landscape genomic analysis of candidate genes for climate adaptation in
   a California endemic oak, <i>Quercus lobata</i>
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE climate change; environmental gradients; Fagaceae; landscape genetics;
   local adaptation; Quercus; single nucleotide polymorphisms; spatially
   divergent selection
ID QUANTITATIVE TRAIT LOCI; ASPEN POPULUS-TREMULA; PINE PINUS-TAEDA;
   LINKAGE DISEQUILIBRIUM; FOREST TREES; VALLEY OAK; POPULATION
   DIFFERENTIATION; PHENOTYPIC ASSOCIATIONS; NUCLEOTIDE DIVERSITY; NEUTRAL
   MARKERS
AB PREMISE OF THE STUDY: The ability of California tree populations to survive anthropogenic climate change will be shaped by the geographic structure of adaptive genetic variation. Our goal is to test whether climate-associated candidate genes show evidence of spatially divergent selection in natural populations of valley oak, Quercus lobata, as preliminary indication of local adaptation.
   METHODS: Using DNA from 45 individuals from 13 localities across the species' range, we sequenced portions of 40 candidate genes related to budburst/flowering, growth, osmotic stress, and temperature stress. Using 195 single nucleotide polymorphisms (SNPs), we estimated genetic differentiation across populations and correlated allele frequencies with climate gradients using single-locus and multivariate models.
   RESULTS: The top 5% of FST estimates ranged from 0.25 to 0.68, yielding loci potentially under spatially divergent selection. Environmental analyses of SNP frequencies with climate gradients revealed three significantly correlated SNPs within budburst/flowering genes and two SNPs within temperature stress genes with mean annual precipitation, after controlling for multiple testing. A redundancy model showed a significant association between SNPs and climate variables and revealed a similar set of SNPs with high loadings on the first axis. In the RDA, climate accounted for 67% of the explained variation, when holding climate constant, in contrast to a putatively neutral SSR data set where climate accounted for only 33%.
   CONCLUSIONS: Population differentiation and geographic gradients of allele frequencies in climate-associated functional genes in Q. lobata provide initial evidence of adaptive genetic variation and background for predicting population response to climate change.
C1 [Sork, Victoria L.; Gugger, Paul F.; Steele, Stephanie E.; Levy, Eric D.] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, 4140 Terasaki Life Sci Bldg, Los Angeles, CA 90095 USA.
   [Sork, Victoria L.] Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90095 USA.
   [Squire, Kevin] Univ Calif Los Angeles, David Geffen Sch Med, Ctr High Throughput Biol, Los Angeles, CA 90095 USA.
   [Eckert, Andrew J.] Virginia Commonwealth Univ, Dept Biol, Richmond, VA 23284 USA.
C3 University of California System; University of California Los Angeles;
   University of California System; University of California Los Angeles;
   University of California System; University of California Los Angeles;
   University of California Los Angeles Medical Center; David Geffen School
   of Medicine at UCLA; Virginia Commonwealth University
RP Sork, VL (corresponding author), Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, 4140 Terasaki Life Sci Bldg, Los Angeles, CA 90095 USA.
EM vlsork@ucla.edu
RI Sork, Victoria/P-9278-2017; Gugger, Paul/A-4005-2010; Eckert,
   Andrew/E-4788-2011
OI Gugger, Paul/0000-0002-4464-8453
FU Center for High Throughput Biology, UCLA; UCLA
FX V.L.S. thanks David Neale and Stan Nelson for inspiration and ideas. The
   authors thank K. Gaddis and P. Thompson for comments on this manuscript.
   K.S. was supported by research funding to S. Nelson, Center for High
   Throughput Biology, UCLA. V.L.S. received UCLA research seed funds for
   molecular laboratory work, sequencing, and salaries for P.F.G. and
   S.E.S.
CR Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto F, 2011, J EVOLUTION BIOL, V24, P1442, DOI 10.1111/j.1420-9101.2011.02277.x
   Alberto FJ, 2013, GENETICS, V195, P495, DOI 10.1534/genetics.113.153783
   [Anonymous], 2009, P 6 S OAK WOODL CAL
   Baird NA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003376
   Bashalkhanov S, 2013, MOL ECOL, V22, P5877, DOI 10.1111/mec.12546
   Berg JJ, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004412
   Blois JL, 2013, SCIENCE, V341, P499, DOI 10.1126/science.1237184
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Brown GR, 2004, P NATL ACAD SCI USA, V101, P15255, DOI 10.1073/pnas.0404231101
   Casasoli M, 2006, GENETICS, V172, P533, DOI 10.1534/genetics.105.048439
   Chmura DJ, 2011, FOREST ECOL MANAG, V261, P1121, DOI 10.1016/j.foreco.2010.12.040
   Chuine I, 1999, NEW PHYTOL, V143, P339, DOI 10.1046/j.1469-8137.1999.00445.x
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Craft KJ, 2002, AM J BOT, V89, P1792, DOI 10.3732/ajb.89.11.1792
   Cullingham CI, 2014, NEW PHYTOL, V204, P215, DOI 10.1111/nph.12896
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Derory J, 2006, NEW PHYTOL, V170, P723, DOI 10.1111/j.1469-8137.2006.01721.x
   Derory J, 2010, HEREDITY, V104, P438, DOI 10.1038/hdy.2009.134
   Eckert AJ, 2010, GENETICS, V185, P969, DOI 10.1534/genetics.110.115543
   Eckert AJ, 2010, MOL ECOL, V19, P3789, DOI 10.1111/j.1365-294X.2010.04698.x
   Eckert AJ, 2010, MOL ECOL RESOUR, V10, P542, DOI 10.1111/j.1755-0998.2009.02768.x
   Eckert AJ, 2009, GENETICS, V183, P289, DOI 10.1534/genetics.109.103895
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Endler J. A, 1986, Understanding Natural Selection
   Flint A. L., 2007, 20075099 US GEOL SUR
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Gailing O, 2009, PHYSIOL PLANTARUM, V137, P509, DOI 10.1111/j.1399-3054.2009.01263.x
   González-Martínez SC, 2006, GENETICS, V172, P1915, DOI 10.1534/genetics.105.047126
   González-Martínez SC, 2006, NEW PHYTOL, V170, P227, DOI 10.1111/j.1469-8137.2006.01686.x
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   Griffin J.R., 1972, DISTRIBUTION FOREST
   Grivet D, 2008, MOL ECOL, V17, P139, DOI 10.1111/j.1365-294X.2007.03498.x
   Grivet D, 2006, MOL ECOL, V15, P4085, DOI 10.1111/j.1365-294X.2006.03083.X
   Gugger PF, 2013, MOL ECOL, V22, P3598, DOI 10.1111/mec.12317
   Hall D, 2007, EVOLUTION, V61, P2849, DOI 10.1111/j.1558-5646.2007.00230.x
   Hanson PJ, 2000, SCI TOTAL ENVIRON, V262, P205, DOI 10.1016/S0048-9697(00)00523-4
   HILL WG, 1988, THEOR POPUL BIOL, V33, P54, DOI 10.1016/0040-5809(88)90004-4
   Holderegger R, 2006, LANDSCAPE ECOL, V21, P793, DOI 10.1007/s10980-005-6058-6
   Holliday JA, 2010, NEW PHYTOL, V188, P501, DOI 10.1111/j.1469-8137.2010.03380.x
   Hughes AR, 2008, ECOL LETT, V11, P609, DOI 10.1111/j.1461-0248.2008.01179.x
   Hughes L, 2000, TRENDS ECOL EVOL, V15, P56, DOI 10.1016/S0169-5347(99)01764-4
   Ingvarsson PK, 2008, GENETICS, V178, P2217, DOI 10.1534/genetics.107.082354
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Krutovsky KV, 2005, GENETICS, V171, P2029, DOI 10.1534/genetics.105.044420
   Le Corre V, 2003, GENETICS, V164, P1205
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Luquez V, 2008, TREE GENET GENOMES, V4, P279, DOI 10.1007/s11295-007-0108-y
   Manel S, 2010, MOL ECOL, V19, P3760, DOI 10.1111/j.1365-294X.2010.04717.x
   Maruki T, 2012, MOL BIOL EVOL, V29, P3617, DOI 10.1093/molbev/mss187
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Morin X, 2009, GLOBAL CHANGE BIOL, V15, P961, DOI 10.1111/j.1365-2486.2008.01735.x
   Neale DB, 2004, TRENDS PLANT SCI, V9, P325, DOI 10.1016/j.tplants.2004.05.006
   Ning ZM, 2001, GENOME RES, V11, P1725, DOI 10.1101/gr.194201
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Patterson N, 2006, PLOS GENET, V2, P2074, DOI 10.1371/journal.pgen.0020190
   Pavlik B.M., 1991, OAKS CALIFORNIA
   Petit RJ, 2002, FOREST ECOL MANAG, V156, P5, DOI 10.1016/S0378-1127(01)00645-4
   Porth I, 2005, TREE PHYSIOL, V25, P1317, DOI 10.1093/treephys/25.10.1317
   Porth I, 2005, TREE GENET GENOMES, V1, P31, DOI 10.1007/s11295-005-0005-1
   Price AL, 2006, NAT GENET, V38, P904, DOI 10.1038/ng1847
   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]
   Quinlan AR, 2008, NAT METHODS, V5, P179, DOI 10.1038/NMETH.1172
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Remington DL, 2001, P NATL ACAD SCI USA, V98, P11479, DOI 10.1073/pnas.201394398
   Robinson JT, 2011, NAT BIOTECHNOL, V29, P24, DOI 10.1038/nbt.1754
   Rozen S, 2000, Methods Mol Biol, V132, P365
   SMOUSE PE, 1982, BIOMETRICS, V38, P757, DOI 10.2307/2530055
   Soler M, 2008, TREE PHYSIOL, V28, P743, DOI 10.1093/treephys/28.5.743
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   Sork VL, 2010, MOL ECOL, V19, P3806, DOI 10.1111/j.1365-294X.2010.04726.x
   Sork VL, 2010, MOL ECOL, V19, P3489, DOI 10.1111/j.1365-294X.2010.04786.x
   Stapley J, 2010, TRENDS ECOL EVOL, V25, P705, DOI 10.1016/j.tree.2010.09.002
   TAJIMA F, 1989, GENETICS, V123, P585
   Thornton K., 2002, LIBSEQUENCE
   WATERS ER, 1995, GENETICS, V141, P785
   Yang RC, 1998, EVOLUTION, V52, P950, DOI 10.1111/j.1558-5646.1998.tb01824.x
NR 83
TC 78
Z9 96
U1 0
U2 131
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9122
EI 1537-2197
J9 AM J BOT
JI Am. J. Bot.
PD JAN
PY 2016
VL 103
IS 1
BP 33
EP 46
DI 10.3732/ajb.1500162
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA DB5NS
UT WOS:000368561500005
PM 26744482
OA Bronze
DA 2025-01-10
ER

PT J
AU Rosetti, N
   Remis, MI
AF Rosetti, N.
   Remis, M. I.
TI Latitudinal clines in the grasshopper <i>Dichroplus elongatus</i>:
   Coevolution of the A genome and B chromosomes?
SO JOURNAL OF EVOLUTIONARY BIOLOGY
LA English
DT Article
DE B chromosomes; clinal pattern; morphometric traits; Orthoptera;
   population genetics
ID MALE MATING SUCCESS; LIFE-HISTORY; MORPHOMETRIC TRAITS;
   GEOGRAPHIC-VARIATION; DROSOPHILA-BUZZATII; CLIMATIC ADAPTATION;
   DEVELOPMENT TIME; MORABA-SCURRA; BODY-SIZE; MEALY BUG
AB Argentine populations of Dichroplus elongatus (Orthoptera: Acrididae) are polymorphic for B chromosomes. Previous studies showed that B chromosomes affect body size and some fitness components in Northwestern populations. We studied phenotype and Bs variation patterns along a latitudinal cline as well as the relationship between karyotype and body size related traits in 17 populations from East. Body size related traits showed a saw tooth' pattern of variation being small at low and high latitudes and large at intermediate latitudes in most of the analysed populations. Analyses of variance and principal components demonstrated that in most analysed populations B carrier males are associated with a decrease in body size related traits with respect to individuals with standard karyotype. Accordingly with the relationship between karyotype and body size, an opposite pattern of latitudinal variation in the frequencies of Bs with respect to body size variation was observed in this area. i.e. smaller individuals tend to have a higher frequency of B chromosomes. The comparison of the differentiation of both karyotype and body size traits with molecular neutral markers demonstrated the relative importance of selection moulding chromosome and phenotype variation. The observed pattern of phenotypic variation is likely to be the result of local adaptation to season length along the latitudinal gradient. The observed contrary pattern of Bs clinal variation may reflect the population ability to maintain this chromosome in relation to the local adaptation. The available evidence indicates that the distribution of B chromosome frequency was shaped by selective factors.
C1 [Rosetti, N.; Remis, M. I.] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, Buenos Aires, Argentina.
C3 University of Buenos Aires
RP Remis, MI (corresponding author), Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, C1428EHA, Buenos Aires, DF, Argentina.
EM mariar@ege.fcen.uba.ar
FU CONICET [PIP 0244]; Universidad de Buenos Aires [X-00412]
FX We are grateful to the two anonymous reviewers for helpful comments.
   Funding provided by CONICET (PIP 0244) and Universidad de Buenos Aires
   (X-00412) through grants to Dr. M. I. Remis is gratefully acknowledged.
   The author's declare no conflict of interest.
CR Antoniazza S, 2010, EVOLUTION, V64, P1944, DOI 10.1111/j.1558-5646.2010.00969.x
   Azevedo RBR, 1998, EVOLUTION, V52, P1353, DOI [10.2307/2411305, 10.1111/j.1558-5646.1998.tb02017.x]
   BARRERA M, 1975, Acta Zoologica Lilloana, V31, P107
   Bidau CJ, 2007, ANN ENTOMOL SOC AM, V100, P850, DOI 10.1603/0013-8746(2007)100[850:CVOBSI]2.0.CO;2
   Bidau Claudio J., 2008, Journal of Orthoptera Research, V17, P201, DOI 10.1665/1082-6467-17.2.201
   Blanckenhorn WU, 2004, INTEGR COMP BIOL, V44, P413, DOI 10.1093/icb/44.6.413
   BLANCKENHORN WU, 1995, J EVOLUTION BIOL, V8, P21, DOI 10.1046/j.1420-9101.1995.8010021.x
   Bougourd SM, 1997, NEW PHYTOL, V137, P43, DOI 10.1046/j.1469-8137.1997.00823.x
   BRENNAN JM, 1995, BIOL J LINN SOC, V54, P151, DOI 10.1111/j.1095-8312.1995.tb01029.x
   Bubliy OA, 2005, BIOL J LINN SOC, V84, P119, DOI 10.1111/j.1095-8312.2005.00419.x
   BUTLIN RK, 1982, HEREDITY, V49, P51, DOI 10.1038/hdy.1982.64
   Cabrero J, 1997, CHROMOSOME RES, V5, P194, DOI 10.1023/A:1018499015091
   Camacho JPM, 2000, PHILOS T R SOC B, V355, P163, DOI 10.1098/rstb.2000.0556
   Centre for Overseas Pest Research (COPR), 1982, LOC GRASSH AGR MAN
   Clemente M., 1994, Caryologia., V46, P321
   Colombo PC, 2004, GENETICA, V121, P25, DOI 10.1023/B:GENE.0000019924.96257.97
   Colombo PC, 2001, HEREDITY, V87, P480, DOI 10.1046/j.1365-2540.2001.00932.x
   Endler J.A., 1977, Monographs in Population Biology, pi
   FELSENSTEIN J, 1976, GENETICS, V83, P845
   GarciaRamos G, 1997, EVOLUTION, V51, P21, DOI [10.2307/2410956, 10.1111/j.1558-5646.1997.tb02384.x]
   Gillespie RG, 1998, EVOLUTION, V52, P775, DOI [10.1111/j.1558-5646.1998.tb03701.x, 10.2307/2411271]
   Groeters FR, 1996, BIOL J LINN SOC, V59, P243
   Hallas R, 2002, GENET RES, V79, P141, DOI 10.1017/S0016672301005523
   HASSON E, 1992, HEREDITY, V68, P557, DOI 10.1038/hdy.1992.78
   HEWITT GM, 1970, HEREDITY, V25, P363, DOI 10.1038/hdy.1970.37
   HEWITT GM, 1978, HEREDITY, V41, P347, DOI 10.1038/hdy.1978.105
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   Johansson F, 2003, J BIOGEOGR, V30, P29, DOI 10.1046/j.1365-2699.2003.00796.x
   Jones R., 1982, B Chromosomes
   Jones R. N., 1995, NEW PHYTOL, V31, P11
   Lange C. E., 2005, RIA, Revista de Investigaciones Agropecuarias, V34, P129
   Leinonen T, 2008, J EVOLUTION BIOL, V21, P1, DOI 10.1111/j.1420-9101.2007.01445.x
   LORAY MA, 1991, GENETICA, V84, P155, DOI 10.1007/BF00127242
   Luiselli S., 2002, FAVE CIENCIAS AGRARI, V1, P37, DOI DOI 10.14409/FA.V1I1.56
   Mariottini Y, 2011, NEOTROP ENTOMOL, V40, P190, DOI 10.1590/S1519-566X2011000200006
   Masaki S., 1978, P72
   MASAKI S, 1972, EVOLUTION, V26, P587, DOI 10.1111/j.1558-5646.1972.tb01966.x
   MASAKI S, 1967, EVOLUTION, V21, P725, DOI 10.1111/j.1558-5646.1967.tb03430.x
   Mayr E., 1963, Animal speciation and evolution
   McElroy D., 1991, REAP RESTRICTION ENZ
   MOUSSEAU TA, 1989, EVOLUTION, V43, P1483, DOI 10.1111/j.1558-5646.1989.tb02598.x
   Mousseau TA, 2000, ADAPTIVE GENETIC VARIATION IN THE WILD, P219
   NUR U, 1969, CHROMOSOMA, V28, P280
   NUR U, 1966, GENETICS, V54, P1225
   Nygren G. H., 2007, J INS SCI, V8, P1
   Ostergren G., 1945, Botaniska Notiser, P157
   PARKER JS, 1991, HEREDITY, V66, P211, DOI 10.1038/hdy.1991.27
   Puertas MJ, 2002, CYTOGENET GENOME RES, V96, P198, DOI 10.1159/000063047
   Pujol B, 2008, MOL ECOL, V17, P4782, DOI 10.1111/j.1365-294X.2008.03958.x
   Remis MI, 2004, CYTOGENET GENOME RES, V106, P359, DOI 10.1159/000079313
   Remis MI, 2000, HEREDITY, V84, P548, DOI 10.1046/j.1365-2540.2000.00697.x
   REMIS MI, 1986, CARYOLOGIA, V39, P287, DOI 10.1080/00087114.1986.10797791
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   Roff DA, 2005, J EVOLUTION BIOL, V18, P1104, DOI 10.1111/j.1420-9101.2005.00862.x
   Rosenberg MS, 2011, METHODS ECOL EVOL, V2, P229, DOI 10.1111/j.2041-210X.2010.00081.x
   Rosetti N, 2007, J EVOLUTION BIOL, V20, P249, DOI 10.1111/j.1420-9101.2006.01205.x
   Rosetti N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040807
   Schutze MK, 2008, GLOBAL ECOL BIOGEOGR, V17, P424, DOI 10.1111/j.1466-8238.2007.00374.x
   Sesarini C, 2008, GENETICA, V133, P295, DOI 10.1007/s10709-007-9213-y
   SHAW MW, 1983, HEREDITY, V50, P1, DOI 10.1038/hdy.1983.1
   Statistica Statsoft Inc, 1996, STAT 5 WIND COMP PRO
   Telfer MG, 1999, OECOLOGIA, V121, P245, DOI 10.1007/s004420050926
   Tsurusaki N, 2004, CYTOGENET GENOME RES, V106, P365, DOI 10.1159/000079314
   Werle SF, 2004, CAN J ZOOL, V82, P118, DOI [10.1139/z03-227, 10.1139/Z03-227]
   White M. J. D., 1973, ANIMAL CITOLOGY EVOL
   WHITE MJ, 1963, EVOLUTION, V17, P147, DOI 10.2307/2406460
   WHITE MJD, 1960, EVOLUTION, V14, P284, DOI 10.2307/2405971
   Whitlock MC, 2008, MOL ECOL, V17, P1885, DOI 10.1111/j.1365-294X.2008.03712.x
   Willott SJ, 1998, FUNCT ECOL, V12, P232, DOI 10.1046/j.1365-2435.1998.00180.x
   Wilson E., 1907, Science, P870, DOI [DOI 10.1126/SCIENCE.26.660.258, 10.1126/science.26.677.870-a]
   Zima J, 2003, CAN J ZOOL, V81, P1312, DOI 10.1139/Z03-128
   Zima J, 1995, ACTA THERIOL, P75
   Zurita S, 1998, EVOLUTION, V52, P274, DOI 10.1111/j.1558-5646.1998.tb05163.x
NR 73
TC 6
Z9 6
U1 0
U2 13
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1010-061X
EI 1420-9101
J9 J EVOLUTION BIOL
JI J. Evol. Biol.
PD APR
PY 2013
VL 26
IS 4
BP 719
EP 732
DI 10.1111/jeb.12067
PG 14
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA 123ZR
UT WOS:000317432700004
PM 23517446
OA Bronze
DA 2025-01-10
ER

PT J
AU Carvalho, SB
   Brito, JC
   Crespo, EG
   Watts, ME
   Possingham, HP
AF Carvalho, Silvia B.
   Brito, Jose C.
   Crespo, Eduardo G.
   Watts, Matthew E.
   Possingham, Hugh P.
TI Conservation planning under climate change: Toward accounting for
   uncertainty in predicted species distributions to increase confidence in
   conservation investments in space and time
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Global warming; Return-on-investment; Marxan; Conservation
   prioritization; Scenario analysis; Iberian Peninsula
ID DISTRIBUTION MODELS; RESERVE-SELECTION; EXTINCTION RISK; AREAS; COSTS;
   BIODIVERSITY; SCENARIOS; IMPACTS
AB Climate warming challenges our approach to building systems of protected areas because it is likely to drive accelerating shifts in species distributions, and the projections of those future species distributions are uncertain. There are several important sources of uncertainty intrinsic to using species occurrence projections for reserve system design including uncertainty in the number of occurrences captured by any reserve selection solution, and uncertainty arising from the different approaches used to fit predictive models. Here we used the present and future predicted distributions of Iberian herptiles to analyze how dynamics and uncertainty in species distributions may affect decisions about resource allocation for conservation in space and time. We identified priority areas maximizing coverage of current and future (2020 and 2080) predicted distributions of 65 species, under "Mild" and "Severe" uncertainty. Next, we applied a return-on-investment analysis to quantify and make explicit trade-offs between investing in areas selected when optimizing for different times and with different uncertainty levels. Areas identified as important for conservation in every time frame and uncertainty level were the ones considered to be robust climate adaptation investments, and included chiefly already protected areas. Areas identified only under "Mild" uncertainty were considered good candidates for investment if extra resources are available and were mainly located in northern Iberia. However, areas selected only in the "Severe" uncertainty case should not be completely disregarded as they may become climatic refugia for some species. Our study provides an objective methodology to deliver "no regrets" conservation investments. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Carvalho, Silvia B.; Brito, Jose C.] Univ Porto, CIBIO Ctr Invest Biodiversidad & Recursos Genet, P-4485661 Vairao, Portugal.
   [Carvalho, Silvia B.; Crespo, Eduardo G.] Univ Lisbon, Fac Ciencias, Dept Biol Anim, P-1749016 Lisbon, Portugal.
   [Carvalho, Silvia B.; Watts, Matthew E.; Possingham, Hugh P.] Univ Queensland, Ctr Ecol, Brisbane, Qld 4072, Australia.
   [Possingham, Hugh P.] Univ Queensland, Sch Math & Phys, Brisbane, Qld 4072, Australia.
   [Crespo, Eduardo G.] Univ Lisbon, CBA, Ctr Biol Ambiental, P-1749016 Lisbon, Portugal.
C3 Universidade do Porto; Universidade de Lisboa; University of Queensland;
   University of Queensland; Universidade de Lisboa
RP Carvalho, SB (corresponding author), Univ Porto, CIBIO Ctr Invest Biodiversidad & Recursos Genet, R Padre Armando Quintas, P-4485661 Vairao, Portugal.
EM silviacarvalho@mail.icav.up.pt; jcbrito@mail.icav.up.pt;
   ejcrespo@fc.ul.pt; m.watts@uq.edu.au; h.possingham@uq.edu.au
RI POSSINGHAM, HUGH/R-8310-2019; Possingham, Hugh/B-1337-2008; Carvalho,
   Silvia/J-3343-2013; Brito, Jose Carlos/A-7831-2010
OI Possingham, Hugh/0000-0001-7755-996X; Carvalho,
   Silvia/0000-0003-4368-4708; Watts, Matthew/0000-0002-9094-1335; Brito,
   Jose Carlos/0000-0001-5444-8132
FU Fundacao para a Ciencia e Tecnologia [SFRH/BD/21896/2005]; Australian
   Research Council; Australian Federal Government; Fundação para a Ciência
   e a Tecnologia [SFRH/BD/21896/2005] Funding Source: FCT
FX SBC was supported by a PhD Grant (SFRH/BD/21896/2005) and JCB has a
   contract (Programme Ciencia 2007), both from Fundacao para a Ciencia e
   Tecnologia. HPP was supported by Australian Research Council grants and
   an Australian Federal Government Commonwealth Environmental Research
   Facility grant. We would like to thank Joshua Ross for discussions on
   the theoretical background of the new Marxan version used in the work.
   We thank Daniel B. Segan and Lindsay Kircher for assistance with data
   analysis and Atte Moilanen for discussion and ideas that contributed to
   improve the present study.
CR Adams VM, 2010, BIOL CONSERV, V143, P439, DOI 10.1016/j.biocon.2009.11.011
   [Anonymous], 2006, Law, Probability and Risk
   [Anonymous], 2010, WORLD DAT PROT AR WD
   Araújo MB, 2006, J BIOGEOGR, V33, P1712, DOI 10.1111/j.1365-2699.2006.01482.x
   Araujo M.B., 2009, Spatial conservation prioritization: Quantitative methods and computational tools, P172
   Araujo M.B., 2009, CONV CONS EUR WILDL, P28
   Araújo MB, 2000, BIOL CONSERV, V96, P331, DOI 10.1016/S0006-3207(00)00074-4
   Araújo MB, 2005, GLOBAL ECOL BIOGEOGR, V14, P529, DOI 10.1111/j.1466-822x.2005.00182.x
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Ball I. R., 2009, SPATIAL CONSERVATION, P185
   Barry S, 2006, J APPL ECOL, V43, P413, DOI 10.1111/j.1365-2664.2006.01136.x
   Beaumont LJ, 2008, ECOL LETT, V11, P1135, DOI 10.1111/j.1461-0248.2008.01231.x
   Bottrill MC, 2008, TRENDS ECOL EVOL, V23, P649, DOI 10.1016/j.tree.2008.07.007
   Buisson L, 2010, GLOBAL CHANGE BIOL, V16, P1145, DOI 10.1111/j.1365-2486.2009.02000.x
   Burgman MA, 2005, ECOLOGY, V86, P2007, DOI 10.1890/04-0906
   Cabeza M, 2010, ECOGRAPHY, V33, P54, DOI 10.1111/j.1600-0587.2009.06040.x
   Carey C, 2003, DIVERS DISTRIB, V9, P111, DOI 10.1046/j.1472-4642.2003.00011.x
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Carvalho SB, 2010, GLOBAL CHANGE BIOL, V16, P3257, DOI 10.1111/j.1365-2486.2010.02212.x
   Carvalho SB, 2010, BIOL CONSERV, V143, P426, DOI 10.1016/j.biocon.2009.11.010
   Carwardine J, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002586
   Chadès I, 2008, P NATL ACAD SCI USA, V105, P13936, DOI 10.1073/pnas.0805265105
   COCKS KD, 1989, BIOL CONSERV, V49, P113, DOI 10.1016/0006-3207(89)90083-9
   Coetzee BWT, 2009, GLOBAL ECOL BIOGEOGR, V18, P701, DOI 10.1111/j.1466-8238.2009.00485.x
   Cooney R., 2004, PRECAUTIONARY PRINCI
   Drechsler M, 2009, ECOL MODEL, V220, P438, DOI 10.1016/j.ecolmodel.2008.11.013
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Elith J., 2009, SPATIAL CONSERVATION, P70
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Esselman PC, 2011, FRESHWATER BIOL, V56, P71, DOI 10.1111/j.1365-2427.2010.02417.x
   FAITH DP, 1992, BIOL CONSERV, V61, P1, DOI 10.1016/0006-3207(92)91201-3
   Franklin J., 2009, Mapping species distributions - spatial inference and prediction
   Fuller T, 2008, BIOL CONSERV, V141, P1547, DOI 10.1016/j.biocon.2008.03.021
   Gaston KJ, 2003, CONSERV BIOL, V17, P188, DOI 10.1046/j.1523-1739.2003.01268.x
   Gibbons JW, 2000, BIOSCIENCE, V50, P653, DOI 10.1641/0006-3568(2000)050[0653:TGDORD]2.0.CO;2
   Grand J, 2007, ECOL LETT, V10, P364, DOI 10.1111/j.1461-0248.2007.01025.x
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Halpern BS, 2006, ECOL LETT, V9, P2, DOI 10.1111/j.1461-0248.2005.00827.x
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hodgson JA, 2009, J APPL ECOL, V46, P964, DOI 10.1111/j.1365-2664.2009.01695.x
   Hole DG, 2009, ECOL LETT, V12, P420, DOI 10.1111/j.1461-0248.2009.01297.x
   Houghton J.T., 2001, IPCC 2001 SCI BASIS
   Langford WT, 2009, ECOL INFORM, V4, P123, DOI 10.1016/j.ecoinf.2009.04.002
   Loureiro A., 2008, Atlas dos Anfibios e Repteis de Portugal
   Margules CR, 2007, ECOL BIODIVERS CONS, P1
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   McCarty JP, 2001, CONSERV BIOL, V15, P320, DOI 10.1046/j.1523-1739.2001.015002320.x
   Moilanen A, 2005, CONSERV BIOL, V19, P1663, DOI 10.1111/j.1523-1739.2005.00203.x
   Moilanen A., 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, P28
   Moilanen A., 2006, BIOL CONSERV, V1290, P427
   Moilanen A, 2006, ECOL MODEL, V199, P115, DOI 10.1016/j.ecolmodel.2006.07.004
   Murdoch W, 2007, BIOL CONSERV, V139, P375, DOI 10.1016/j.biocon.2007.07.011
   Naidoo R, 2006, PLOS BIOL, V4, P2153, DOI 10.1371/journal.pbio.0040360
   Naidoo R, 2006, TRENDS ECOL EVOL, V21, P681, DOI 10.1016/j.tree.2006.10.003
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pearson RG, 2006, J BIOGEOGR, V33, P1704, DOI 10.1111/j.1365-2699.2006.01460.x
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Pleguezuelos J.M., 2002, ATLAS LIBRO ROJO ANF
   Polasky S, 2008, BIOL CONSERV, V141, P1505, DOI 10.1016/j.biocon.2008.03.022
   Possingham H.P., 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, P135
   Pyke CR, 2005, BIOL CONSERV, V121, P429, DOI 10.1016/j.biocon.2004.05.019
   Regan H.M., 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, P145
   Rondinini C, 2006, ECOL LETT, V9, P1136, DOI 10.1111/j.1461-0248.2006.00970.x
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thuiller W, 2004, GLOBAL CHANGE BIOL, V10, P2020, DOI 10.1111/j.1365-2486.2004.00859.x
   Underwood JG, 2010, CONSERV BIOL, V24, P162, DOI 10.1111/j.1523-1739.2009.01303.x
   VANEWRIGHT RI, 1991, BIOL CONSERV, V55, P235, DOI 10.1016/0006-3207(91)90030-D
   Wake DB, 2007, P NATL ACAD SCI USA, V104, P8201, DOI 10.1073/pnas.0702506104
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Williams P, 2005, CONSERV BIOL, V19, P1063, DOI 10.1111/j.1523-1739.2005.00080.x
   Wilson KA, 2005, BIOL CONSERV, V122, P99, DOI 10.1016/j.biocon.2004.07.004
NR 76
TC 166
Z9 179
U1 1
U2 151
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD JUL
PY 2011
VL 144
IS 7
BP 2020
EP 2030
DI 10.1016/j.biocon.2011.04.024
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 789BU
UT WOS:000292489100011
DA 2025-01-10
ER

PT J
AU McNamara, DE
   Murray, AB
   Smith, MD
AF McNamara, Dylan E.
   Murray, A. Brad
   Smith, Martin D.
TI Coastal sustainability depends on how economic and coastline responses
   to climate change affect each other
SO GEOPHYSICAL RESEARCH LETTERS
LA English
DT Article
ID US EAST-COAST
AB Human-induced climate change is predicted to accelerate sea level rise and alter storm frequency along the US east coast. Rising sea level will enhance shoreline erosion, and recent work indicates changing storm patterns and associated changes in wave conditions can intensify coastal erosion along parts of a coastline. Investigations of coastal response to climate change typically consider natural processes in isolation - neglecting repeated changes to the coastline from human actions, primarily through shoreline nourishment projects, which add sand to the shoreline to counteract erosion. In a model coupling economically driven shoreline nourishment with wave-and sea level rise-driven coastline change, and accounting for dwindling sediment resources for nourishment, coastline response depends dramatically on the relationship between patterns of property value and erosion. Simulations show that when nourishment costs rise with depletion of sand resources, coastline change is tied to the interaction between patterns of erosion and property value. Simulations show that when high property values align with highly erosive locations, sand resources are depleted rapidly and nourishment in lower property value towns is quickly abandoned. Although our model simulates a particular coastal morphology, the result that future behavior of the coastline and the economic viability of nourishment in a given town depend on the regional interaction between patterns of property value and erosion is likely applicable to many coastal configurations. More broadly, coupling economic and physical models reveals equity and sustainability implications of coastal climate adaptation as well as patterns of coastline change that a physical model alone would overlook. Citation: McNamara, D. E., A. B. Murray, and M. D. Smith (2011), Coastal sustainability depends on how economic and coastline responses to climate change affect each other, Geophys. Res. Lett., 38, L07401, doi:10.1029/2011GL047207.
C1 [McNamara, Dylan E.] Univ N Carolina, Dept Phys & Phys Oceanog, Ctr Marine Sci, Wilmington, NC 28403 USA.
   [Murray, A. Brad] Duke Univ, Ctr Nonlinear & Complex Syst, Nicholas Sch Environm, Durham, NC 27708 USA.
   [Smith, Martin D.] Duke Univ, Dept Econ, Nicholas Sch Environm, Durham, NC 27708 USA.
C3 University of North Carolina; University of North Carolina Wilmington;
   Duke University; Duke University
RP McNamara, DE (corresponding author), Univ N Carolina, Dept Phys & Phys Oceanog, Ctr Marine Sci, Wilmington, NC 28403 USA.
EM mcnamarad@uncw.edu; abmurray@duke.edu; marsmith@duke.edu
RI Smith, Martin/D-9168-2016
OI Smith, Martin/0000-0002-4714-463X; Murray, A. Brad/0000-0002-2484-9151;
   McNamara, Dylan/0000-0001-8752-1586
FU NSF [DEB0507987, EAR-0952120]; Directorate For Geosciences; Division Of
   Earth Sciences [0952120] Funding Source: National Science Foundation;
   Division Of Earth Sciences; Directorate For Geosciences [0951802]
   Funding Source: National Science Foundation
FX Helpful discussions with Sathya Gopalakrishnan, Mike Orbach and Joseph
   Ramus are gratefully acknowledged. Supported by the NSF
   (Biocomplexity/CNH, DEB0507987 and EAR-0952120).
CR ASHTON AD, 2006, NATURE, V111
   Cleary W. J., 2004, J COASTAL RES, V39, P884
   Dorfman JH, 1996, J AGR RESOUR ECON, V21, P109
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Grain D.A., 1995, Restoration Ecology, V3, P95, DOI DOI 10.1111/J.1526-100X.1995.TB00082.X
   Komar PD, 2008, J COASTAL RES, V24, P479, DOI 10.2112/07-0894.1
   McNamara DE, 2008, J GEOPHYS RES-EARTH, V113, DOI 10.1029/2007JF000840
   Parker DC, 2003, ANN ASSOC AM GEOGR, V93, P314, DOI 10.1111/1467-8306.9302004
   Peeples MA, 2006, ECOL SOC, V11
   Slott JM, 2008, COAST MANAGE, V36, P374, DOI 10.1080/08920750802266429
   Slott JM, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027445
   Stokstad E, 2005, SCIENCE, V310, P1264, DOI 10.1126/science.310.5752.1264
   Valverde HR, 1999, J COASTAL RES, V15, P1100
   Valvo LM, 2006, J GEOPHYS RES-EARTH, V111, DOI 10.1029/2005JF000340
   Zhang KQ, 2004, CLIMATIC CHANGE, V64, P41, DOI 10.1023/B:CLIM.0000024690.32682.48
NR 15
TC 49
Z9 54
U1 1
U2 35
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
J9 GEOPHYS RES LETT
JI Geophys. Res. Lett.
PD APR 5
PY 2011
VL 38
AR L07401
DI 10.1029/2011GL047207
PG 5
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology
GA 747YE
UT WOS:000289356400001
DA 2025-01-10
ER

PT J
AU Relethford, JH
AF Relethford, John H.
TI Population-Specific Deviations of Global Human Craniometric Variation
   From a Neutral Model
SO AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
LA English
DT Article
DE craniometrics; geography; neutral model; climatic adaptation
ID GENE FLOW; DISTANCE; DIVERSITY; PATTERNS; CLIMATE; APPORTIONMENT;
   MORPHOLOGY
AB Past studies have revealed that much of human cramometric variation follows a neutral model of population relationships At the same time, there is evidence for the influence of natural selection in having shaped some global diversity in cramometrics. In order to partition these effects, and to explore other potential population-specific influences, this article analyzes residuals of cramometric distances from a geographically based neutral model of population structure. W W Howells' global cramometric data set was used for these analyses, consisting of 57 measurements for 22 populations around the world, excluding Polynesia and Micronesia because of the relatively recent settlement of these regions Phenotypic and geographic distances were derived between all pairs of populations. Three-dimensional multidimensional scaling configurations were obtained for both distance matrices, and compared using a Procrustes rotation method to show which populations do not fit the geographic model This analysis revealed three major deviations. the Buriat, Greenland Inuit, and Peru. The deviations of the Bumf:, and Greenland Inuit appear to be related to long-term adaptation to cold environments. The Peruvian sample is more similar to other New World populations than expected based on geographic distance alone This deviation likely reflects the evolutionarily recent movement of human populations into South America, such that these populations are further from genetic equilibrium This same pattern is seen in South American populations in a comparative analysis of classical genetic markers, but not in a comparative analysis of STR loci, perhaps reflecting the higher mutation rate for the latter Am j.Phys Anthropol 142.105-111, 2010 (C) 2009 Wiley-Liss, Inc
C1 SUNY Coll Oneonta, Dept Anthropol, Oneonta, NY 13820 USA.
C3 State University of New York (SUNY) System
RP Relethford, JH (corresponding author), SUNY Coll Oneonta, Dept Anthropol, Oneonta, NY 13820 USA.
CR BEALS KL, 1984, CURR ANTHROPOL, V25, P301, DOI 10.1086/203138
   Betti L, 2009, P ROY SOC B-BIOL SCI, V276, P809, DOI 10.1098/rspb.2008.1563
   Cadien J.D., 1974, Yearbook of Physical Anthropology, V18, P194
   Cavalli-Sforza L. L., 1994, HIST GEOGRAPHY HUMAN
   Eller E, 1999, AM J PHYS ANTHROPOL, V108, P147, DOI 10.1002/(SICI)1096-8644(199902)108:2<147::AID-AJPA2>3.0.CO;2-E
   GOWER JC, 1966, BIOMETRIKA, V53, P325, DOI 10.1093/biomet/53.3-4.325
   Harvati K, 2007, VERTEBR PALEOBIOL PA, P239
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Howells W. W, 1989, PAPERS PEABODY MUSEU, V79
   Howells W. W, 1973, PAPERS PEABODY MUSEU, V67
   Howells WW, 1996, AM J PHYS ANTHROPOL, V101, P441, DOI 10.1002/ajpa.1331010302
   IMAIZUMI Y, 1973, GENETIC STRUCTURE PO, P76
   JACKSON DA, 1995, ECOSCIENCE, V2, P297, DOI 10.1080/11956860.1995.11682297
   Jorde L.B., 1982, Current Developments in Anthropological Genetics: Ecology and Population Structure, V2, P333
   KRUSKAL JB, 1978, MULTIDIMENSIONAL SEA
   Manica A, 2007, NATURE, V448, P346, DOI 10.1038/nature05951
   Olden JD, 2001, OECOLOGIA, V127, P572, DOI 10.1007/s004420000620
   Peres-Neto PR, 2001, OECOLOGIA, V129, P169, DOI 10.1007/s004420100720
   Relethford JH, 1997, HUM BIOL, V69, P443
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P249
   Relethford JH, 2002, AM J PHYS ANTHROPOL, V118, P393, DOI 10.1002/ajpa.10079
   RELETHFORD JH, 1990, HUM BIOL, V62, P5
   Relethford JH, 2004, HUM BIOL, V76, P499, DOI 10.1353/hub.2004.0060
   Relethford JH, 2004, AM J HUM BIOL, V16, P379, DOI 10.1002/ajhb.20045
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P53, DOI 10.1002/ajpa.1330950105
   Relethford JH, 2001, HUM BIOL, V73, P629, DOI 10.1353/hub.2001.0073
   RELETHFORD JH, 1981, AM J PHYS ANTHROPOL, V55, P233, DOI 10.1002/ajpa.1330550212
   Relethford JH, 2007, ANTHROPOLOGICAL GENETICS: THEORY, METHODS AND APPLICATIONS, P187
   Relethford JH, 2009, AM J PHYS ANTHROPOL, V139, P16, DOI 10.1002/ajpa.20900
   Relethford JohnH., 2003, REFLECTIONS OUR HUMA
   Roseman CC, 2004, AM J PHYS ANTHROPOL, V125, P257, DOI 10.1002/ajpa.10424
   Roseman CC, 2004, P NATL ACAD SCI USA, V101, P12824, DOI 10.1073/pnas.0402637101
   Roseman CC, 2007, BIOESSAYS, V29, P1185, DOI 10.1002/bies.20678
   Rosenberg NA, 2003, SCIENCE, V300
   Smith HF, 2009, AM J HUM BIOL, V21, P36, DOI 10.1002/ajhb.20805
   von Cramon-Taubadel N, 2008, AM J PHYS ANTHROPOL, V136, P108, DOI 10.1002/ajpa.20775
   von Cramon-Taubadel N, 2009, AM J PHYS ANTHROPOL, V140, P205, DOI 10.1002/ajpa.21041
   von Cramon-Taubadel N, 2009, J HUM EVOL, V57, P179, DOI 10.1016/j.jhevol.2009.05.009
   Weaver TD, 2007, J HUM EVOL, V53, P135, DOI 10.1016/j.jhevol.2007.03.001
   Workman PL., 1973, Genetic structure of populations, P166
NR 40
TC 60
Z9 85
U1 0
U2 27
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9483
EI 1096-8644
J9 AM J PHYS ANTHROPOL
JI Am. J. Phys. Anthropol.
PD MAY
PY 2010
VL 142
IS 1
BP 105
EP 111
DI 10.1002/ajpa.21207
PG 7
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA 585II
UT WOS:000276818200011
PM 19927369
DA 2025-01-10
ER

PT J
AU Méndez-Cea, B
   García-García, I
   Sánchez-Salguero, R
   Lechuga, V
   Gallego, FJ
   Linares, JC
AF Mendez-Cea, Belen
   Garcia-Garcia, Isabel
   Sanchez-Salguero, Raul
   Lechuga, Victor
   Gallego, Francisco Javier
   Linares, Juan C.
TI Tree-Level Growth Patterns and Genetic Associations Depict Drought
   Legacies in the Relict Forests of <i>Abies marocana</i>
SO PLANTS-BASEL
LA English
DT Article
DE Abies marocana; drought sensitivity; tree age; selection signature;
   genotype-phenotype associations; dendrochronology
ID MEDITERRANEAN FIRS; R PACKAGE; CLIMATE; CONSEQUENCES; DIVERSITY;
   REGIONS; STRESS; OZONE
AB The frequency and intensity of drought events are increasing worldwide, challenging the adaptive capacity of several tree species. Here, we evaluate tree growth patterns and climate sensitivity to precipitation, temperature, and drought in the relict Moroccan fir Abies marocana. We selected two study sites, formerly stated as harboring contrasting A. marocana taxa (A. marocana and A. tazaotana, respectively). For each tree, dendrochronological methods were applied to quantify growth patterns and climate-growth sensitivity. Further, ddRAD-seq was performed on the same trees and close saplings to obtain single nucleotide polymorphisms (SNPs) and related genotype-phenotype associations. Genetic differentiation between the two studied remnant populations of A. marocana was weak. Growth patterns and climate-growth relationships were almost similar at the two sites studied, supporting a negative effect of warming. Growth trends and tree size showed associations with SNPs, although there were no relationships with phenotypes related to climatic sensitivity. We found significant differences in the SNPs subjected to selection in the saplings compared to the old trees, suggesting that relict tree populations might be subjected to genetic differentiation and local adaptation to climate dryness. Our results illustrate the potential of tree rings and genome-wide analysis to improve our understanding of the adaptive capacity of drought-sensitive forests to cope with ongoing climate change.
C1 [Mendez-Cea, Belen; Garcia-Garcia, Isabel; Gallego, Francisco Javier] Univ Complutense Madrid, Fac CC Biol, Unidad Genet, Dept Genet Fisiol & Microbiol, Madrid 28040, Spain.
   [Sanchez-Salguero, Raul; Linares, Juan C.] Univ Pablo De Olavide, Dept Sistemas Fis Quim & Nat, Seville 41013, Spain.
   [Lechuga, Victor] Univ Jaen, Ctr Estudios Avanzados Ciencias Tierra Energia &, Jaen 23071, Spain.
C3 Complutense University of Madrid; Universidad Pablo de Olavide;
   Universidad de Jaen
RP Linares, JC (corresponding author), Univ Pablo De Olavide, Dept Sistemas Fis Quim & Nat, Seville 41013, Spain.
EM jclincal@upo.es
RI Méndez-Cea, Belén/AAC-4159-2019; Linares Calderon, Juan
   Carlos/G-3474-2011; Sanchez-Salguero, Raul/J-7886-2013; GALLEGO
   RODRIGUEZ, FRANCISCO JAVIER/B-4691-2017
OI Linares Calderon, Juan Carlos/0000-0001-8375-6353; Sanchez-Salguero,
   Raul/0000-0002-6545-5810; GALLEGO RODRIGUEZ, FRANCISCO
   JAVIER/0000-0002-9921-8960; Mendez-Cea, Belen/0000-0001-9109-7933;
   Garcia-Garcia, Isabel/0000-0003-1165-8900
FU UCM Santander predoctoral fellowship [CT42/18-CT43/18]; Junta de
   Andalucia; Spanish Ministry of Science and Innovation
   [PAIDI-P18-RT-1170]; Junta de Andalucia;  [TED2021-129770B-C22]; 
   [PID2021-123675OB-C44]
FX Belen Mendez-Cea is the recipient of a UCM Santander predoctoral
   fellowship (CT42/18-CT43/18). This research was funded by
   TED2021-129770B-C22, Spanish Ministry of Science and Innovation;
   PID2021-123675OB-C44, Spanish Ministry of Science and Innovation, and
   PAIDI-P18-RT-1170, Junta de Andalucia.
CR Aafi A., 2000, Nature et Faune, V18, P15
   Alaoui ML, 2011, The IUCN Red List of Threatened Species 2011: E.T34126 A9841418, DOI 10.2305/IUCN.UK.2011-2.RLTS.T34126A9841418.en
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Alonso R, 2001, PLANT CELL ENVIRON, V24, P905, DOI 10.1046/j.0016-8025.2001.00738.x
   ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   Aussenac G, 2000, ANN FOR SCI, V57, P287
   Aussenac G, 2002, ANN FOR SCI, V59, P823, DOI 10.1051/forest:2002080
   Babst F, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4313
   Babushkina EA, 2016, DENDROCHRONOLOGIA, V38, P26, DOI 10.1016/j.dendro.2016.02.005
   Balao F, 2020, ANN BOT-LONDON, V125, P495, DOI 10.1093/aob/mcz186
   Beguería S, 2014, INT J CLIMATOL, V34, P3001, DOI 10.1002/joc.3887
   Behr AA, 2016, BIOINFORMATICS, V32, P2817, DOI 10.1093/bioinformatics/btw327
   Ben-Said M, 2022, MEDITERR BOT, V43, DOI 10.5209/mbot.71201
   Ben-Said M, 2022, FOREST ECOL MANAG, V506, DOI 10.1016/j.foreco.2021.119967
   Benabid A., 2000, Flore et ecosystemes du Maroc
   Bennett AC, 2015, NAT PLANTS, V1, DOI [10.1038/NPLANTS.2015.139, 10.1038/nplants.2015.139]
   Bowman DMJS, 2013, TRENDS PLANT SCI, V18, P11, DOI 10.1016/j.tplants.2012.08.005
   Chang CC, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0047-8
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   Cortés-Molino A, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.991720
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Dent R, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037135, 10.1371/journal.pone.0036889]
   Dering M, 2014, FLORA, V209, P367, DOI 10.1016/j.flora.2014.03.011
   DREFLCD (Direction Regionale des Eaux et Forets et de la Lutte Contre la Desertification du Rif), 2012, ETUDE DAM NAGEMENT S
   Eaton DAR, 2020, BIOINFORMATICS, V36, P2592, DOI 10.1093/bioinformatics/btz966
   Endelman JB, 2012, G3-GENES GENOM GENET, V2, P1405, DOI 10.1534/g3.112.004259
   Endelman JB, 2011, PLANT GENOME-US, V4, P250, DOI 10.3835/plantgenome2011.08.0024
   Fasanella M, 2021, CAN J FOREST RES, V51, P420, DOI 10.1139/cjfr-2020-0221
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Fritts H.C., 1976, Tree rings and climate, P1
   Garcia-Garcia I, 2022, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.797958
   Gazol A, 2020, J ECOL, V108, P2473, DOI 10.1111/1365-2745.13435
   Gazol A, 2019, AGR FOREST METEOROL, V278, DOI 10.1016/j.agrformet.2019.107695
   Gazol A, 2015, J BIOGEOGR, V42, P1150, DOI 10.1111/jbi.12512
   GISH W, 1993, NAT GENET, V3, P266, DOI 10.1038/ng0393-266
   González-Díaz P, 2020, FOREST ECOL MANAG, V472, DOI 10.1016/j.foreco.2020.118244
   Hampe A, 2011, ANNU REV ECOL EVOL S, V42, P313, DOI 10.1146/annurev-ecolsys-102710-145015
   Heer K, 2018, MOL ECOL, V27, P1428, DOI 10.1111/mec.14538
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Houghton JT., 1994, CLIMATE CHANGE 1994
   Housset JM, 2021, DENDROCHRONOLOGIA, V69, DOI 10.1016/j.dendro.2021.125863
   Housset JM, 2018, NEW PHYTOL, V218, P630, DOI 10.1111/nph.14968
   Jaramillo-Correa JP, 2010, MOL ECOL, V19, P5452, DOI 10.1111/j.1365-294X.2010.04912.x
   Johnson JS, 2017, FORESTS, V8, DOI 10.3390/f8110418
   Kendall M. G., 1948, Rank correlation methods.
   Kronfuss G, 1996, J PLANT PHYSIOL, V148, P203, DOI 10.1016/S0176-1617(96)80315-4
   Litkowiec M, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118606
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Matsushita M, 2015, FUNCT ECOL, V29, P1250, DOI 10.1111/1365-2435.12416
   McDowell NG, 2020, SCIENCE, V368, P964, DOI 10.1126/science.aaz9463
   Méndez-Cea B, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159778
   Navarro-Cerrillo RM, 2020, FOREST ECOL MANAG, V459, DOI 10.1016/j.foreco.2019.117847
   Neophytou C, 2016, EUR J FOREST RES, V135, P465, DOI 10.1007/s10342-016-0946-y
   Ozturk T, 2015, INT J CLIMATOL, V35, P4276, DOI 10.1002/joc.4285
   Parchman TL, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-018-1251-3
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Peakall R, 2012, BIOINFORMATICS, V28, P2537, DOI 10.1093/bioinformatics/bts460
   Petit RJ, 2006, ANNU REV ECOL EVOL S, V37, P187, DOI 10.1146/annurev.ecolsys.37.091305.110215
   Pootakham W, 2016, MOL BREEDING, V36, DOI 10.1007/s11032-016-0572-x
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Rodríguez-Quilón I, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.2230
   Sánchez-Robles JM, 2014, MOL PHYLOGENET EVOL, V79, P42, DOI 10.1016/j.ympev.2014.06.005
   Sánchez-Salguero R, 2017, P NATL ACAD SCI USA, V114, pE10142, DOI 10.1073/pnas.1708109114
   Shestakova TA, 2016, P NATL ACAD SCI USA, V113, P662, DOI 10.1073/pnas.1514717113
   Shiu SH, 2003, PLANT PHYSIOL, V132, P530, DOI 10.1104/pp.103.021964
   Stephenson TS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009127
   Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
   Tejedor E, 2020, GLOBAL ECOL BIOGEOGR, V29, P1114, DOI 10.1111/geb.13090
   Terrab A, 2007, TAXON, V56, P409, DOI 10.1002/tax.562012
   Venegas-Gonzalez A, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.762347
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
NR 73
TC 3
Z9 3
U1 5
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD FEB
PY 2023
VL 12
IS 4
AR 873
DI 10.3390/plants12040873
PG 21
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 9K1VI
UT WOS:000940660600001
PM 36840220
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Jarlan, L
   Khabba, S
   Er-Raki, S
   Le Page, M
   Hanich, L
   Fakir, Y
   Merlin, O
   Mangiarotti, S
   Gascoin, S
   Ezzahar, J
   Kharrou, MH
   Berjamy, B
   Saaïdi, A
   Boudhar, A
   Benkaddour, A
   Laftouhi, N
   Abaoui, J
   Tavernier, A
   Boulet, G
   Simonneaux, V
   Driouech, F
   El Adnani, M
   El Fazziki, A
   Amenzou, N
   Raibi, F
   El Mandour, A
   Ibouh, H
   Le Dantec, V
   Habets, F
   Tramblay, Y
   Mougenot, B
   Leblanc, M
   El Faïz, M
   Drapeau, L
   Coudert, B
   Hagolle, O
   Filali, N
   Belaqziz, S
   Marchane, A
   Szczypta, C
   Toumi, J
   Diarra, A
   Aouade, G
   Hajhouji, Y
   Nassah, H
   Bigeard, G
   Chirouze, J
   Boukhari, K
   Abourida, A
   Richard, B
   Fanise, P
   Kasbani, M
   Chakir, A
   Zribi, M
   Marah, H
   Naimi, A
   Mokssitg, A
   Kerr, Y
   Escadafal, R
AF Jarlan, L.
   Khabba, S.
   Er-Raki, S.
   Le Page, M.
   Hanich, L.
   Fakir, Y.
   Merlin, O.
   Mangiarotti, S.
   Gascoin, S.
   Ezzahar, J.
   Kharrou, M. H.
   Berjamy, B.
   Saaidi, A.
   Boudhar, A.
   Benkaddour, A.
   Laftouhi, N.
   Abaoui, J.
   Tavernier, A.
   Boulet, G.
   Simonneaux, V.
   Driouech, F.
   El Adnani, M.
   El Fazziki, A.
   Amenzou, N.
   Raibi, F.
   El Mandour, A.
   Ibouh, H.
   Le Dantec, V.
   Habets, F.
   Tramblay, Y.
   Mougenot, B.
   Leblanc, M.
   El Faiz, M.
   Drapeau, L.
   Coudert, B.
   Hagolle, O.
   Filali, N.
   Belaqziz, S.
   Marchane, A.
   Szczypta, C.
   Toumi, J.
   Diarra, A.
   Aouade, G.
   Hajhouji, Y.
   Nassah, H.
   Bigeard, G.
   Chirouze, J.
   Boukhari, K.
   Abourida, A.
   Richard, B.
   Fanise, P.
   Kasbani, M.
   Chakir, A.
   Zribi, M.
   Marah, H.
   Naimi, A.
   Mokssitg, A.
   Kerr, Y.
   Escadafal, R.
TI Remote Sensing of Water Resources in Semi-Arid Mediterranean Areas: the
   joint international laboratory TREMA
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
LA English
DT Article; Proceedings Paper
CT 4th International Symposium on Recent Advances in Quantitative Remote
   Sensing (RAQRS)
CY SEP 22-26, 2014
CL Global Change Unit Univ Valencia, Torrent, SPAIN
SP Global Change Unit Univ Valencia, City Council Torrent, European Space Agcy, Inst Nacl Tecn Aeroesp, Minist Def Spain, Airbus Def and Space, Elecnor Deimos Imaging EOLAB SL, SM GEODIM
HO Global Change Unit Univ Valencia
ID ESTIMATE CROP EVAPOTRANSPIRATION; SIMULATE YIELD RESPONSE; LAND-USE
   PATTERNS; SOIL-MOISTURE; SNOW COVER; OLIVE ORCHARDS; TIME-SERIES; SAP
   FLOW; SURFACE-TEMPERATURE; IRRIGATED CROPS
AB Monitoring of water resources and a better understanding of the eco-hydrological processes governing their dynamics are necessary to anticipate and develop measures to adapt to climate and water-use changes. Focusing on this aim, a research project carried out within the framework of French-Moroccan cooperation demonstrated how remote sensing can help improve the monitoring and modelling of water resources in semi-arid Mediterranean regions. The study area is the Tensift Basin located near Marrakech (Morocco) - a typical Southern Mediterranean catchment with water production in the mountains and downstream consumption mainly driven by agriculture. Following a description of the institutional context and the experimental network, the main recent research results are presented: (1) methodological development for the retrieval of key components of the water cycle in a snow-covered area from remote-sensing imagery (disaggregated soil moisture from soil moisture and ocean salinity) at the kilometre scale, based on the Moderate Resolution Imaging Spectroradiometer (MODIS); (2) the use of remote-sensing products together with land-surface modelling for the monitoring of evapotranspiration; and (3) phenomenological modelling based only on time series of remote-sensing data with application to forecasting of cereal yields. Finally, the issue of transfer of research results is also addressed through two remote sensing-based tools developed together with the project partners involved in water management and irrigation planning.
C1 [Jarlan, L.; Le Page, M.; Merlin, O.; Mangiarotti, S.; Gascoin, S.; Tavernier, A.; Boulet, G.; Simonneaux, V.; Le Dantec, V.; Mougenot, B.; Drapeau, L.; Coudert, B.; Hagolle, O.; Szczypta, C.; Bigeard, G.; Chirouze, J.; Abourida, A.; Richard, B.; Fanise, P.; Kasbani, M.; Chakir, A.; Zribi, M.; Kerr, Y.; Escadafal, R.] Ctr Etudes Spati BIOsphere CESBIO, Toulouse, France.
   [Khabba, S.; Fakir, Y.; Laftouhi, N.; El Adnani, M.; El Fazziki, A.; El Mandour, A.; Belaqziz, S.; Toumi, J.; Diarra, A.; Hajhouji, Y.; Nassah, H.; Boukhari, K.] Univ Cadi Ayyad UCAM, FSS, Marrakech, Morocco.
   [Er-Raki, S.; Hanich, L.; Benkaddour, A.; Ibouh, H.; Marchane, A.; Aouade, G.] Univ Cadi Ayyad, Fac Sci & Tech, Marrakech, Morocco.
   [Ezzahar, J.] Univ Cadi Ayyad, ENSA, Safi, Morocco.
   [Ezzahar, J.; Kharrou, M. H.] Off Reg Mise Valeur Eau Agricole Tensift Haouz OR, Marrakech, Morocco.
   [Ezzahar, J.; Berjamy, B.; Naimi, A.] ABHT, Marrakech, Morocco.
   [Ezzahar, J.; Saaidi, A.; Abaoui, J.; Driouech, F.; Filali, N.; Mokssitg, A.] DMN, Casablanca, Morocco.
   [Ezzahar, J.; Boudhar, A.] Univ Sultan Moulay Slimane, Beni Mellal, Morocco.
   [Amenzou, N.; Raibi, F.; Marah, H.] CNESTEN, Unite Eau & Climat, Rabat, Morocco.
   [Habets, F.] Milieux Environm Transferts & Interact Hydrosyst, Paris, France.
   [Tramblay, Y.] Lab Hydrosci Montpellier HSM, Montpellier, France.
   [Leblanc, M.] Gest Eau, Usages G EAU, Montpellier, France.
   [El Faiz, M.] Univ Cadi Ayyad, Fac Sci Jurid Econ & Sociales, Lab Culture Patrimoine & Tourisme, Marrakech, Morocco.
C3 Cadi Ayyad University of Marrakech; Cadi Ayyad University of Marrakech;
   Sultan Moulay Slimane University of Beni Mellal; Universite de
   Montpellier; AgroParisTech; Cadi Ayyad University of Marrakech
RP Jarlan, L (corresponding author), Ctr Etudes Spati BIOsphere CESBIO, Toulouse, France.
EM lionel.jarlan@ird.fr; khabba@uca.ma
RI Tavernier, Adrien/KOC-5196-2024; Saaidi, Abderrahim/R-1916-2019; Chakir,
   Adnane/LWI-8263-2024; Belaqziz, Salwa/W-1992-2019; drapeau,
   laurent/L-5888-2015; Er-Raki, salah/I-4792-2014; Fakir,
   Younes/LLK-4126-2024; Hagolle, Olivier/AAT-2050-2021; abdelaziz,
   elfazziki/Y-1693-2019; BOUDHAR, Abdelghani/S-5216-2019; Merlin,
   Olivier/GPK-4646-2022; Habets, Florence/K-2267-2015; Laftouhi,
   Nour-Eddine/JXN-3909-2024; Kerr, Yann/Z-2432-2019; Leblanc,
   Marc/C-2801-2009; Ezzahar, Jamal/AAF-9758-2020; hanich,
   lahoucine/B-1296-2010; Mougenot, Bernard/K-5945-2017; Driouech,
   Fatima/AIF-4406-2022; Boulet, Gilles/C-3067-2013; Tramblay,
   Yves/D-7753-2013; Le Page, Michel/JPY-2850-2023; Gascoin,
   Simon/J-7848-2012; Jarlan, Lionel/D-3735-2013
OI Habets, Florence/0000-0003-1950-0921; RICHARD,
   Bastien/0000-0001-6797-2419; hanich, lahoucine/0000-0003-3756-0944;
   Drapeau, Laurent/0000-0002-6111-9211; Mougenot,
   Bernard/0000-0003-3415-8095; Driouech, Fatima/0000-0002-0830-1831;
   Boulet, Gilles/0000-0002-3905-7560; Simonneaux,
   Vincent/0000-0002-4245-5383; marchane, ahmed/0000-0002-0117-7719;
   Merlin, Olivier/0000-0003-1985-6039; Laftouhi,
   Nour-Eddine/0000-0002-0526-3921; Ezzahar, Jamal/0000-0001-8790-6507;
   Hagolle, Olivier/0000-0003-2358-0493; Tramblay,
   Yves/0000-0003-0481-5330; Nour Edine, AMENZOU/0000-0002-6601-0151; Le
   Page, Michel/0000-0002-0671-2418; Ibouh, Hassan/0000-0002-3287-9537;
   Fakir, Younes/0000-0003-4299-5862; Er-Raki, Salah/0000-0002-8595-7949;
   Belaqziz, Salwa/0000-0001-7248-8605; Boudhar,
   Abdelghani/0000-0002-4033-9717; El Fazziki,
   Abdelaziz/0000-0002-0302-234X; Gascoin, Simon/0000-0002-4996-6768;
   Leblanc, Marc/0000-0003-3176-9253; Khabba, Said/0000-0003-3309-9935;
   FANISE, PASCAL/0000-0003-0317-6645; Jarlan, Lionel/0000-0002-6542-5793
FU Moroccan project [Recherche Sectorielle] [RS/2011/09]; ANR AMETHYST
   [ANR-12-TMED-0006-01]; MISTRALS/SICMED; TOSCA programs; MISTRALS
   ENVIMED; PHC Maghreb [32592V8]; Agence Nationale de la Recherche (ANR)
   [ANR-12-TMED-0006] Funding Source: Agence Nationale de la Recherche
   (ANR)
FX In addition to IRD and CESBIO, financial support was provided by
   Moroccan project [Recherche Sectorielle, RS/2011/09, CNRST], ANR
   AMETHYST [ANR-12-TMED-0006-01], the MISTRALS/SICMED, and TOSCA programs.
   Student exchanges were partly financed by MISTRALS ENVIMED and PHC
   Maghreb 32592V8.
CR Aahd A., 2009, Reseau., V22, P1, DOI [10.7202/019820ar, DOI 10.7202/019820AR, 10.7202]
   Abourida A., 2004, Estudios Geologicos (Madrid), V60, P161
   Akesbi N, 2012, NEW MEDIT, V11, P12
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Amenzou N., 2013, ACAD J ENV SCI, V1, P1
   Anderson MC, 1997, REMOTE SENS ENVIRON, V60, P195, DOI 10.1016/S0034-4257(96)00215-5
   Anderson MP, 2005, GROUND WATER, V43, P951, DOI 10.1111/j.1745-6584.2005.00052.x
   [Anonymous], GLOBAL CHANGES, DOI DOI 10.4081/GM.2012.E1
   [Anonymous], 2015, B AM METEOROL SOC, DOI [10.1175/BAMS-D-14-00176, DOI 10.1175/BAMS-D-14-00176]
   [Anonymous], THESIS U BERN
   Baldocchi D, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2005JG000063
   Belaqziz S, 2013, AGR WATER MANAGE, V119, P1, DOI 10.1016/j.agwat.2012.12.011
   Belaqziz S, 2014, COMPUT ELECTRON AGR, V102, P64, DOI 10.1016/j.compag.2014.01.006
   Benhadj I, 2012, INT J REMOTE SENS, V33, P1325, DOI 10.1080/01431161.2011.564220
   Bolle HJ, 2002, REGIONAL CLIMATE STU
   Boone A, 2004, J CLIMATE, V17, P187, DOI 10.1175/1520-0442(2004)017<0187:TRLSSI>2.0.CO;2
   Boone A, 2001, J HYDROMETEOROL, V2, P374, DOI 10.1175/1525-7541(2001)002<0374:AIOTSS>2.0.CO;2
   Bormann KJ, 2012, REMOTE SENS ENVIRON, V123, P57, DOI 10.1016/j.rse.2012.03.003
   Boudhar A, 2010, INT J APPL EARTH OBS, V12, pS109, DOI 10.1016/j.jag.2009.09.008
   Boudhar A., 2009, TELEDETECTION MANTEA
   Boudhar A, 2016, HYDROLOG SCI J, V61, P931, DOI 10.1080/02626667.2014.965173
   Boukhari K, 2015, ENVIRON EARTH SCI, V73, P6195, DOI 10.1007/s12665-014-3844-y
   Brown K, 2002, SCIENCE, V297, P926, DOI 10.1126/science.297.5583.926
   Brown RD, 2011, CRYOSPHERE, V5, P219, DOI 10.5194/tc-5-219-2011
   Brown RD, 2009, J CLIMATE, V22, P2124, DOI 10.1175/2008JCLI2665.1
   Burow KR, 2005, GROUND WATER, V43, P545, DOI 10.1111/j.1745-6584.2005.0055.x
   CGDA, 2009, CONS GEN DEV AGR
   Chaponnière A, 2005, INT J REMOTE SENS, V26, P2755, DOI 10.1080/01431160500117758
   Chehbouni A, 2008, INT J REMOTE SENS, V29, P5161, DOI 10.1080/01431160802036417
   Chirouze J, 2014, HYDROL EARTH SYST SC, V18, P1165, DOI 10.5194/hess-18-1165-2014
   Conant B, 2004, GROUND WATER, V42, P243, DOI 10.1111/j.1745-6584.2004.tb02671.x
   Constantz J., 2007, ANAL TEMPERATURE GRA
   CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1007/BF00994018
   Courault D., 2005, Irrigation and Drainage Systems, V19, P223, DOI 10.1007/s10795-005-5186-0
   Dams J, 2013, J HYDROL, V485, P84, DOI 10.1016/j.jhydrol.2012.09.045
   David CH, 2011, J HYDROMETEOROL, V12, P913, DOI 10.1175/2011JHM1345.1
   de Jeu RAM, 2008, SURV GEOPHYS, V29, P399, DOI 10.1007/s10712-008-9044-0
   Derksen C, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053387
   Diarra A, 2013, PROCEDIA ENVIRON SCI, V19, P504, DOI 10.1016/j.proenv.2013.06.057
   Driouech F, 2010, GLOBAL PLANET CHANGE, V72, P1, DOI 10.1016/j.gloplacha.2010.03.004
   Drusch M, 2012, REMOTE SENS ENVIRON, V120, P25, DOI 10.1016/j.rse.2011.11.026
   Duchemin B, 2006, AGR WATER MANAGE, V79, P1, DOI 10.1016/j.agwat.2005.02.013
   El Faiz M. E., 2005, HIST HYDRAULIQUE ARA
   El Faiz M. E., 2002, MARRAKECH PATROMOINE
   Er-Raki S, 2008, AGR WATER MANAGE, V95, P309, DOI 10.1016/j.agwat.2007.10.013
   Er-Raki S, 2007, AGR WATER MANAGE, V87, P41, DOI 10.1016/j.agwat.2006.02.004
   Er-Raki S, 2012, ACTA HORTIC, V951, P259, DOI 10.17660/ActaHortic.2012.951.31
   Er-Raki S, 2009, ACTA HORTIC, V846, P201, DOI 10.17660/ActaHortic.2009.846.21
   Er-Raki S, 2011, J AGR SCI TECH-IRAN, V13, P209
   Er-Raki S, 2010, AGR WATER MANAGE, V97, P1769, DOI 10.1016/j.agwat.2010.06.009
   García-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.006
   Gascoin S, 2013, ADV WATER RESOUR, V55, P25, DOI 10.1016/j.advwatres.2012.11.013
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   GOUESBET G, 1994, PHYS REV E, V49, P4955, DOI 10.1103/PhysRevE.49.4955
   Habets F, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008548
   Hadria R, 2006, INT J REMOTE SENS, V27, P1093, DOI 10.1080/01431160500382980
   Hadria R., 2010, REV TELEDETECTION, V9, P82
   Hadria R, 2007, ARAB J SCI ENG, V32, P87
   Hagolle O, 2008, REMOTE SENS ENVIRON, V112, P1689, DOI 10.1016/j.rse.2007.08.016
   Hagolle O, 2010, REMOTE SENS ENVIRON, V114, P1747, DOI 10.1016/j.rse.2010.03.002
   Henry P, 1996, ACTA ASTRONAUT, V38, P487, DOI 10.1016/0094-5765(96)00019-7
   Hobbs R.J., 1995, Ecological Studies, V109, P1
   Holben BN, 1998, REMOTE SENS ENVIRON, V66, P1, DOI 10.1016/S0034-4257(98)00031-5
   Jarlan L, 2014, INT J BIOMETEOROL, V58, P1489, DOI 10.1007/s00484-013-0753-9
   Jarlan L, 2014, INT J CLIMATOL, V34, P1245, DOI 10.1002/joc.3762
   Jarlan L., 2013, REV FRANGAISE PHOTOG, V204, P5
   Kerr YH, 2001, IEEE T GEOSCI REMOTE, V39, P1729, DOI 10.1109/36.942551
   Khabba S, 2013, PROCEDIA ENVIRON SCI, V19, P524, DOI 10.1016/j.proenv.2013.06.059
   Kharrou MH, 2013, WATER RESOUR MANAG, V27, P4697, DOI 10.1007/s11269-013-0438-5
   Knippertz P, 2003, METEOROL ATMOS PHYS, V83, P67, DOI 10.1007/s00703-002-0561-y
   LAMB PJ, 1987, B AM METEOROL SOC, V68, P1218, DOI 10.1175/1520-0477(1987)068<1218:NAOCAA>2.0.CO;2
   Le Page M, 2014, REMOTE SENS-BASEL, V6, P11182, DOI 10.3390/rs61111182
   Le Page M, 2012, WATER RESOUR MANAG, V26, P3209, DOI 10.1007/s11269-012-0068-3
   LHOMME JP, 1994, AGR FOREST METEOROL, V68, P77, DOI 10.1016/0168-1923(94)90070-1
   Liston GE, 2006, J HYDROMETEOROL, V7, P1259, DOI 10.1175/JHM548.1
   LORENZ EN, 1963, J ATMOS SCI, V20, P130, DOI 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
   Mangiarotti S, 2012, PHYS REV E, V86, DOI 10.1103/PhysRevE.86.046205
   Mangiarotti S, 2014, CHAOS, V24, DOI 10.1063/1.4882376
   Rico-Amoros AM, 2009, LAND USE POLICY, V26, P493, DOI 10.1016/j.landusepol.2008.07.002
   Marchane A, 2015, REMOTE SENS ENVIRON, V160, P72, DOI 10.1016/j.rse.2015.01.002
   Matesanz S, 2014, ENVIRON EXP BOT, V103, P53, DOI 10.1016/j.envexpbot.2013.09.004
   McCabe MF, 2008, REMOTE SENS ENVIRON, V112, P430, DOI 10.1016/j.rse.2007.03.027
   McDonald M.G., 1988, MODULAR 3 DIMENSIONA
   Merlin O, 2013, HYDROL EARTH SYST SC, V17, P3623, DOI 10.5194/hess-17-3623-2013
   Merlin O, 2015, REMOTE SENS-BASEL, V7, P3783, DOI 10.3390/rs70403783
   Merlin O, 2014, AGR FOREST METEOROL, V184, P188, DOI 10.1016/j.agrformet.2013.10.002
   Merlin O, 2012, IEEE T GEOSCI REMOTE, V50, P1556, DOI 10.1109/TGRS.2011.2175000
   Merlin O, 2010, REMOTE SENS ENVIRON, V114, P2500, DOI 10.1016/j.rse.2010.05.025
   Miller A, 2008, J ARCHAEOL SCI, V35, P1427, DOI 10.1016/j.jas.2007.10.007
   MORAN MS, 1994, REMOTE SENS ENVIRON, V49, P246, DOI 10.1016/0034-4257(94)90020-5
   Noilhan J, 1996, GLOBAL PLANET CHANGE, V13, P145, DOI 10.1016/0921-8181(95)00043-7
   NORMAN JM, 1995, AGR FOREST METEOROL, V77, P263, DOI 10.1016/0168-1923(95)02265-Y
   Oishi AC, 2008, AGR FOREST METEOROL, V148, P1719, DOI 10.1016/j.agrformet.2008.06.013
   PAPNEEI, 2009, APP PROGR NAT EC IRR
   Perrin C, 2003, J HYDROL, V279, P275, DOI 10.1016/S0022-1694(03)00225-7
   PMV, 2013, PLAN MAR VERT REG MA
   Quintana-Seguí P, 2008, J APPL METEOROL CLIM, V47, P92, DOI 10.1175/2007JAMC1636.1
   Raes D, 2009, AGRON J, V101, P438, DOI 10.2134/agronj2008.0140s
   RAHMAN H, 1994, INT J REMOTE SENS, V15, P123, DOI 10.1080/01431169408954055
   Rana G, 2005, AGR FOREST METEOROL, V128, P199, DOI 10.1016/j.agrformet.2004.11.001
   Roerink GJ, 2000, PHYS CHEM EARTH PT B, V25, P147, DOI 10.1016/S1464-1909(99)00128-8
   Sabater JM, 2007, J HYDROMETEOROL, V8, P194, DOI 10.1175/JHM571.1
   Schulz O, 2004, HYDROL EARTH SYST SC, V8, P1076, DOI 10.5194/hess-8-1076-2004
   Sieber J., 2011, WEAP USER GUIDE
   Simonneaux V, 2008, INT J REMOTE SENS, V29, P95, DOI 10.1080/01431160701250390
   Simonneaux V, 2008, P 13 IWRA WORLD WAT, P1
   Steduto P, 2009, AGRON J, V101, P426, DOI 10.2134/agronj2008.0139s
   Tavernier A, 2013, PROC SPIE, V8887, DOI 10.1117/12.2029358
   Toumi J, AGR WATER MANAGEMENT
   Tramblay Y, 2013, HYDROL EARTH SYST SC, V17, P3721, DOI 10.5194/hess-17-3721-2013
   Valéry A, 2014, J HYDROL, V517, P1166, DOI 10.1016/j.jhydrol.2014.04.059
   Williams DG, 2004, AGR FOREST METEOROL, V125, P241, DOI 10.1016/j.agrformet.2004.04.008
NR 113
TC 79
Z9 79
U1 0
U2 43
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
J9 INT J REMOTE SENS
JI Int. J. Remote Sens.
PD OCT
PY 2015
VL 36
IS 19-20
SI SI
BP 4879
EP 4917
DI 10.1080/01431161.2015.1093198
PG 39
WC Remote Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Remote Sensing; Imaging Science & Photographic Technology
GA CV5TQ
UT WOS:000364334500008
DA 2025-01-10
ER

PT J
AU Xu, D
   Bai, TT
   Yang, L
   Zhou, YY
   Chen, B
   Xu, HF
   Song, YZ
   Yuan, Y
   Cui, YZ
   Lin, M
   Xia, ZQ
   Chen, M
   Xu, ZC
   Zhao, P
   Dong, GH
   Zhang, L
   Zhao, JC
   Wu, WB
   Wang, W
   Liu, Z
   Cheng, J
   Ciais, P
AF Xu, Dong
   Bai, Tingting
   Yang, Lin
   Zhou, Yuyu
   Chen, Bin
   Xu, Haifeng
   Song, Yongze
   Yuan, Yuan
   Cui, Yuanzheng
   Lin, Meng
   Xia, Ziqian
   Chen, Min
   Xu, Zhenci
   Zhao, Peng
   Dong, Guihua
   Zhang, Lei
   Zhao, Jiacheng
   Wu, Wanben
   Wang, Wei
   Liu, Zhao
   Cheng, Jie
   Ciais, Philippe
TI Quantifying the Cooling Effect of Urban Greening Driven by Ecological
   Restoration Projects in China
SO ENVIRONMENTAL SCIENCE & TECHNOLOGY
LA English
DT Article
DE urban greening; ecological restoration project; cooling effect; climate
   mitigation
ID LAND-SURFACE TEMPERATURE; HEAT-ISLAND; VEGETATION; MITIGATION; SCIENCE;
   EVENTS
AB Urban greening (UG) affects local climate by altering surface energy balance, while long-term UG cooling potential, patterns, and contribution to curbing urban warming remain unclear. Here, we designed an novel statistical model to evaluate the cooling potential of UG (CPUG) and created the first CPUG map for China. By exploring the trends in observed and simulated urban surface temperatures (UST), we quantified the CPUG of 0.20 K over the past two decades, which slowed down the warming trend by 14.17% in Chinese cities. We found that the CPUG varied significantly between the urban core and sprawl areas. Specifically, the CPUG in the urban core was approximately 1.01 K, and it contributed to curbing urban warming by 56.08%, which was more than 7.2 times higher than in the sprawl areas, where the CPUG was only 0.14 K and contributed to curbing urban warming by 9.93%. We further revealed that urbanization and major ecological restoration projects are the key factors influencing CPUG, emphasizing the need for anthropogenic vegetation management to curb urban warming. The proposed model in this study provides a powerful tool for quantitatively assessing the impact of long-term UG trends on urban warming. The results of the study are an important reference for building climate-adaptive cities.
C1 [Xu, Dong] Natl Univ Singapore, Dept Geog, Singapore 119077, Singapore.
   [Xu, Dong; Cheng, Jie] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
   [Xu, Dong; Cheng, Jie] Beijing Normal Univ, Key Lab Environm Change Nat Disasters, Minist Educ, Beijing 100875, Peoples R China.
   [Bai, Tingting] Northeastern Univ, Sch Business Adm, Shenyang 110189, Peoples R China.
   [Yang, Lin; Zhang, Lei] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China.
   [Zhou, Yuyu] Univ Hong Kong, Inst Climate & Carbon Neutral, Hong Kong 999077, Peoples R China.
   [Zhou, Yuyu; Xu, Zhenci] Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China.
   [Chen, Bin] Univ Hong Kong, Fac Architecture, Dept Architecture, Div Landscape Architecture,Future Urbanity & Susta, Hong Kong 999077, Peoples R China.
   [Xu, Haifeng] Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China.
   [Song, Yongze] Curtin Univ, Sch Design & Built Environm, Perth 6102, Australia.
   [Yuan, Yuan] Fudan Univ, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China.
   [Cui, Yuanzheng] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China.
   [Cui, Yuanzheng] Hohai Univ, Coll Geog & Remote Sensing, Nanjing 210098, Peoples R China.
   [Lin, Meng] Vanderbilt Univ, Dept Earth & Environm Sci, Nashville, TN 37235 USA.
   [Xia, Ziqian] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China.
   [Chen, Min] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China.
   [Zhao, Peng] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Dong, Guihua] China Natl Environm Monitoring Ctr, State Environm Protect Key Lab Qual Control Enviro, Beijing 100012, Peoples R China.
   [Zhao, Jiacheng] Nanjing Univ Informat Sci & Technol, Sch Ecol & Appl Meteorol, Nanjing 210044, Peoples R China.
   [Wu, Wanben] Fudan Univ, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Natl Observat & Res Stn Wetland Ecosyst Yangtze Es, Shanghai, Peoples R China.
   [Wang, Wei] Northwestern Univ, Sch Urban & Environm Studies, Xian 710069, Peoples R China.
   [Liu, Zhao] Univ Tasmania, Sch Geog Planning & Spatial Sci, Hobart, Tas 7005, Australia.
   [Ciais, Philippe] CEA CNRS UVSQ, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France.
C3 National University of Singapore; Beijing Normal University; Beijing
   Normal University; Northeastern University - China; Nanjing University;
   University of Hong Kong; University of Hong Kong; University of Hong
   Kong; Beijing Forestry University; Curtin University; Fudan University;
   Chinese Academy of Sciences; Nanjing Institute of Geography & Limnology,
   CAS; Hohai University; Vanderbilt University; Tongji University; Nanjing
   Normal University; Chinese Academy of Sciences; Institute of Mountain
   Hazards & Environment, CAS; Nanjing University of Information Science &
   Technology; Fudan University; Northwest University Xi'an; University of
   Tasmania; Universite Paris Saclay; CEA
RP Cheng, J (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.; Cheng, J (corresponding author), Beijing Normal Univ, Key Lab Environm Change Nat Disasters, Minist Educ, Beijing 100875, Peoples R China.; Bai, TT (corresponding author), Northeastern Univ, Sch Business Adm, Shenyang 110189, Peoples R China.; Song, YZ (corresponding author), Curtin Univ, Sch Design & Built Environm, Perth 6102, Australia.; Ciais, P (corresponding author), CEA CNRS UVSQ, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France.
EM Baitingting27@163.com; yongze.song@curtin.edu.au; Jie_Cheng@bnu.edu.cn;
   philippe.ciais@cea.fr
RI Zhou, Yuyu/ABF-1638-2020; Song, Yongze/F-1940-2018; Chen,
   Bin/ABD-5074-2021; Cheng, Jie/G-2039-2011; Cui, Yuanzheng/GOH-1150-2022;
   Xia, Ziqian/HSG-3127-2023; Zhang, Lei/ABB-4773-2020
OI Xu, Dong/0009-0002-8238-2665; Chen, Bin/0000-0003-3496-2876; Zhao,
   Liu/0009-0006-8273-8042; Zhang, Lei/0000-0002-1090-6338
FU National Natural Science Foundation of China [42071308]; National
   Natural Science Foundation of China; Ministry of Ecology and Environment
   of the People's Republic of China
FX This work was partly supported by the National Natural Science
   Foundation of China via grant 42071308. Thanks to the Ministry of
   Ecology and Environment of the People's Republic of China for providing
   the National County ecological index data. Thanks to the National Earth
   System Science Data Center for providing us with data release services.
CR Akuraju V, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101853
   Alkama R, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28305-9
   Amelung W, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18887-7
   Anderegg WRL, 2020, SCIENCE, V368, P1327, DOI 10.1126/science.aaz7005
   Antrop M, 2004, LANDSCAPE URBAN PLAN, V67, P9, DOI 10.1016/S0169-2046(03)00026-4
   Arora VK, 2011, NAT GEOSCI, V4, P514, DOI [10.1038/NGEO1182, 10.1038/ngeo1182]
   Bachir N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100976
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Betts RA, 2011, NAT GEOSCI, V4, P504, DOI 10.1038/ngeo1223
   Campbell I., 2021, BEATING HEAT SUSTAIN
   Chan E, 2008, SOC INDIC RES, V85, P243, DOI 10.1007/s11205-007-9089-3
   Chen C, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb1981
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Cook-Patton SC, 2021, NAT CLIM CHANGE, V11, P1027, DOI 10.1038/s41558-021-01198-0
   Cook-Patton SC, 2020, ONE EARTH, V3, P739, DOI 10.1016/j.oneear.2020.11.013
   Cuthbert MO, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28160-8
   Didan K., 2015, NASA EOSDIS LAND PRO, DOI DOI 10.5067/MODIS/MOD13Q1.006
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Forzieri G, 2017, SCIENCE, V356, P1140, DOI 10.1126/science.aal1727
   Friedl M., 2019, NASA EOSDIS Land Processes Distributed Active Archive Center, DOI DOI 10.5067/MODIS/MCD12Q1.006
   García-Lamarca M, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-34942-x
   Gong P, 2020, REMOTE SENS ENVIRON, V236, DOI 10.1016/j.rse.2019.111510
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Harris NL, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00976-6
   He C, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31145-2
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hisdal H, 2001, INT J CLIMATOL, V21, P317, DOI 10.1002/joc.619
   Kaika D, 2013, ENERG POLICY, V62, P1392, DOI 10.1016/j.enpol.2013.07.131
   Li XC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be3
   Li XC, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0510-y
   Li YT, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-35799-4
   Li Y, 2018, SCIENCE, V360, DOI 10.1126/science.aap7950
   Li YF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16461-9
   Lloret F, 2012, GLOBAL CHANGE BIOL, V18, P797, DOI 10.1111/j.1365-2486.2011.02624.x
   Lu N, 2022, NAT CLIM CHANGE, V12, P847, DOI 10.1038/s41558-022-01432-3
   Nemani RR, 2003, SCIENCE, V300, P1560, DOI 10.1126/science.1082750
   Peng J, 2018, REMOTE SENS ENVIRON, V215, P255, DOI 10.1016/j.rse.2018.06.010
   Piao SL, 2020, NAT REV EARTH ENV, V1, P14, DOI 10.1038/s43017-019-0001-x
   Qiu KB, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101864
   Rohatyn S, 2022, SCIENCE, V377, P1436, DOI 10.1126/science.abm9684
   SAVITZKY A, 1964, ANAL CHEM, V36, P1627, DOI 10.1021/ac60214a047
   Schleussner CF, 2016, NAT CLIM CHANGE, V6, P827, DOI 10.1038/NCLIMATE3096
   Schneider A, 2010, REMOTE SENS ENVIRON, V114, P1733, DOI 10.1016/j.rse.2010.03.003
   Song FJ, 2024, BUILD ENVIRON, V254, DOI 10.1016/j.buildenv.2024.111384
   Song SS, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36477-1
   Sun LQ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19158-1
   Tatem AJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.4
   Tett SFB, 1999, NATURE, V399, P569, DOI 10.1038/21164
   Upreti R, 2017, URBAN FOR URBAN GREE, V26, P18, DOI 10.1016/j.ufug.2017.05.008
   Vermote E  ..., 2015, MOD09A1 MODIS/Terra surface reflectance 8-dayL3 global 500m SIN grid V006 Dataset, DOI [DOI 10.5067/MODIS/MOD09A1.006, 10.5067/MODIS/MOD09A1.006]
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wan Z., 2015, NASA EOSDIS Land Processes DAAC, DOI DOI 10.5067/MODIS/MOD11A2.006
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Windisch MG, 2021, NAT CLIM CHANGE, V11, P867, DOI 10.1038/s41558-021-01161-z
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Wu H, 2008, WATER RESOUR MANAG, V22, P145, DOI 10.1007/s11269-006-9148-6
   Wu LF, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107080
   Wu LF, 2021, SCI TOTAL ENVIRON, V757, DOI 10.1016/j.scitotenv.2020.143780
   Xiao XD, 2018, SUSTAIN CITIES SOC, V40, P428, DOI 10.1016/j.scs.2018.04.002
   Xu H, 2008, INT J REMOTE SENS, V29, P4269, DOI 10.1080/01431160802039957
   Yang XJ, 2013, SCIENCE, V342, P310, DOI 10.1126/science.342.6156.310-a
   Yu LX, 2021, SCI BULL, V66, P13, DOI 10.1016/j.scib.2020.09.003
   Zeng ZZ, 2017, NAT CLIM CHANGE, V7, P432, DOI [10.1038/NCLIMATE3299, 10.1038/nclimate3299]
   Zhang L, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abo0095
   Zhang T, 2022, EARTH SYST SCI DATA, V14, P5637, DOI 10.5194/essd-14-5637-2022
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
   Zhao SQ, 2016, P NATL ACAD SCI USA, V113, P6313, DOI 10.1073/pnas.1602312113
NR 67
TC 0
Z9 0
U1 19
U2 19
PU AMER CHEMICAL SOC
PI WASHINGTON
PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA
SN 0013-936X
EI 1520-5851
J9 ENVIRON SCI TECHNOL
JI Environ. Sci. Technol.
PD NOV 16
PY 2024
VL 58
IS 47
BP 20990
EP 21001
DI 10.1021/acs.est.4c10314
EA NOV 2024
PG 12
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA N3Y6T
UT WOS:001356524800001
PM 39548976
DA 2025-01-10
ER

PT J
AU van Duijne, RJ
   Ogara, D
   Keeton, R
   Reckien, D
AF van Duijne, Robbin Jan
   Ogara, Dinah
   Keeton, Rachel
   Reckien, Diana
TI Climate migration and well-being: a study on ex-pastoralists in northern
   Kenya
SO POPULATION AND ENVIRONMENT
LA English
DT Article
DE Pastoralism; Livelihoods; Internal migration; Well-being; Climate change
ID RENDILLE; HEALTH; EAST; SEDENTARIZATION; PERCEPTIONS; ADAPTATION;
   SEDENTISM; AFRICA; ARIAAL
AB As the impacts of climate change intensify globally, scholars and policymakers are increasingly interested in determining the factors that lead to the success or failure of climate adaptation strategies. This paper investigates the well-being outcomes of ex-pastoralists in northern Kenya who have migrated to towns in response to severe droughts. Focusing on Marsabit Town, the study employs a comparative design with primary survey data to analyze the well-being outcomes resulting from migration as an adaptation strategy. We contrast two heterogeneous groups of former pastoralists: a "settled group" that was already residing in Marsabit Town before ending their pastoral activities and a "migrant group" that relocated to Marsabit Town at the time of abandoning pastoralism. Our analysis reveals significant differences in well-being outcomes between these groups, with the migrant group often experiencing deterioration in their well-being levels. Key predictors of poorer well-being outcomes include the loss of all livestock, informal housing, and failure to transition into agricultural work, which often results in dependence on casual labor. Additionally, many migrants continue to experience poor subjective well-being-referring to their personal satisfaction with the quality of life-years after their livelihood transition. These insights offer a nuanced understanding of the well-being outcomes of migration-as-adaptation among heterogeneous groups of ex-pastoralists and underscore the need for customized livelihood support strategies for the most at-risk populations.
C1 [van Duijne, Robbin Jan; Ogara, Dinah; Keeton, Rachel; Reckien, Diana] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Dept Urban & Reg Planning & Geoinformat Managemen, Enschede, Netherlands.
   [van Duijne, Robbin Jan] Columbia Univ, Climate Sch, Lamont Doherty Earth Observ, 61 Route 9W, Palisades, NY 10964 USA.
   [Ogara, Dinah] Tech Univ Kenya, Fac Engn Sci & Technol, Dept Urban & Reg Planning, Nairobi, Kenya.
C3 University of Twente; Columbia University; Technical University of Kenya
RP van Duijne, RJ (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Dept Urban & Reg Planning & Geoinformat Managemen, Enschede, Netherlands.; van Duijne, RJ (corresponding author), Columbia Univ, Climate Sch, Lamont Doherty Earth Observ, 61 Route 9W, Palisades, NY 10964 USA.
EM r.j.vanduijne@utwente.nl
RI ; Reckien, Diana/P-7348-2015
OI van Duijne, Robbin Jan/0000-0003-3659-4720; Keeton,
   Rachel/0000-0002-3550-1310; Reckien, Diana/0000-0002-1145-9509
FU Horizon 2020 Framework Programme
FX We would like to thank the communities in and around Marsabit Town for
   their participation in this study, the local community chiefs for their
   assistance in accessing these communities, and three anonymous reviewers
   for their constructive feedback. We are also grateful to Dr. William
   Ogara and Dr. Karin Witsenburg for providing valuable comments on
   earlier versions of the manuscript.
CR [Anonymous], 2004, GUIDING PRINCIPLES I
   [Anonymous], 2010, Policy framework for pastoralism in Africa: Securing, protecting and improving the lives, livelihoods and rights of pastoralist communities
   Aremu T., 2019, Handbook of Climate Change Resilience, V2, P1225
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Call MA, 2017, GLOBAL ENVIRON CHANG, V46, P157, DOI 10.1016/j.gloenvcha.2017.08.008
   Catley A, 2013, PATHWAY SUSTAIN, P1
   Cheng HB, 2024, POPUL SPACE PLACE, V30, DOI 10.1002/psp.2704
   de Bruijn M, 2003, AFR AFFAIRS, V102, P285, DOI 10.1093/afraf/adg005
   Famine Early Warning Systems Network, 2011, Kenya-livelihood zone map
   Famine Early Warning Systems Network, 2022, Unprecedented drought brings threat of starvation to millions in Ethiopia, Kenya, and Somalia
   Fratkin E, 2005, STUD HUM ECOL ADAPT, V1, P1
   Fratkin E., 2001, African Studies Review, V44, P1, DOI DOI 10.2307/525591
   Fujita M, 2004, AM J PHYS ANTHROPOL, V123, P277, DOI 10.1002/ajpa.10310
   GADM - Database of Global Administrative Areas, Download GADM data (version 3.6).
   Galvin KA, 2009, ANNU REV ANTHROPOL, V38, P185, DOI 10.1146/annurev-anthro-091908-164442
   Gebeyehu AK, 2021, J ARID ENVIRON, V189, DOI 10.1016/j.jaridenv.2021.104485
   Gough I, 2007, WELLBEING IN DEVELOPING COUNTRIES: FROM THEORY TO RESEARCH, P1, DOI 10.1017/CBO9780511488986
   Government of Kenya, 2019, Kenya population and housing census 2019. Population by county and sub-county
   Heaney AK, 2016, INT J PUBLIC HEALTH, V61, P641, DOI 10.1007/s00038-015-0759-7
   Hoffmann R, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7d65
   Jacobson C, 2019, REG ENVIRON CHANGE, V19, P101, DOI 10.1007/s10113-018-1387-6
   Jaji R., 2021, The Palgrave Handbook of Gender and Migration, P373, DOI [10.1007/978-3-030-63347-923, DOI 10.1007/978-3-030-63347-923]
   Jowell A, 2018, INT J PUBLIC HEALTH, V63, P703, DOI 10.1007/s00038-018-1124-4
   Kamta FN, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10040027
   Kaye-Zwiebel E, 2014, ECOL SOC, V19, DOI 10.5751/ES-06753-190317
   Krtli S., 2014, Counting pastoralists in Kenya
   Lakshman RWD., 2023, Springer, DOI [10.1007/978-981-99-6179-5, DOI 10.1007/978-981-99-6179-5]
   Lindvall K, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17165917
   Little PD, 2001, DEV CHANGE, V32, P401, DOI 10.1111/1467-7660.00211
   Little PD, 2008, DEV CHANGE, V39, P587, DOI 10.1111/j.1467-7660.2008.00497.x
   Magal RP., 2017, Asian Journal of Agriculture and Food Sciences, V5, P62, DOI [10.24203/ajafs.v5i2.4732, DOI 10.24203/AJAFS.V5I2.4732]
   Mainet H., 2016, Rural-Urban Dynamics in the East African Mountains., P27, DOI [10.4000/books.africae.1198, DOI 10.4000/BOOKS.AFRICAE.1198]
   McPeak J, 2005, STUD HUM ECOL ADAPT, V1, P87
   Mogotsi K., 2011, African Journal of Environmental Science and Technology, V5, P168
   Nathan MA, 1996, SOC SCI MED, V43, P503, DOI 10.1016/0277-9536(95)00428-9
   Ng'ang'a SK, 2016, WORLD DEV, V84, P55, DOI 10.1016/j.worlddev.2016.04.002
   Ng'ang'a TW, 2020, CLIMATIC CHANGE, V161, P393, DOI 10.1007/s10584-020-02696-4
   Northern Rangelands Trust, Jaldesa community conservancy: management and community development plan (2017-2021)
   Piguet E, 2018, ROUT INT HANDB, P17
   Pollini Jacques., 2021, NOMAD PEOPLES, V25, P278, DOI [DOI 10.3197/np.2021.250206, https://doi.org/10.3197/np.2021.250206]
   Red Cross Society, 2022, Horn of Africa: IFRC Secretary General visits Kenya as worst drought in 40 years looms for millions
   Roth EA, 2005, STUD HUM ECOL ADAPT, V1, P1
   Sakdapolrak P, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2206185120
   Sakdapolrak P, 2024, CLIM DEV, V16, P87, DOI 10.1080/17565529.2023.2180318
   Silchenko D, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2022.100472
   Smith K, 1998, HUM ORGAN, V57, P459, DOI 10.17730/humo.57.4.16n21k1123521095
   Stavi I, 2021, ANTHROPOCENE REV, DOI 10.1177/20530196211007512
   SYMANSKI R, 1975, ANN ASSOC AM GEOGR, V65, P461, DOI 10.1111/j.1467-8306.1975.tb01053.x
   Szaboova L, 2023, ONE EARTH, V6, P620, DOI 10.1016/j.oneear.2023.05.009
   Tache B, 2010, WORLD DEV, V38, P1168, DOI 10.1016/j.worlddev.2010.01.001
   Thorn JPR, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-01973-5
   Thornton PK, 2007, HUM ECOL, V35, P461, DOI 10.1007/s10745-007-9118-5
   Tubi A, 2023, POPUL ENVIRON, V45, DOI 10.1007/s11111-023-00421-8
   United Nations, 2022, Human stories
   United Nations, 2022, The Horn of Africa faces a historic drought
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   Wafula WM, 2022, PASTORALISM, V12, DOI 10.1186/s13570-021-00204-6
   Wiederkehr C, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae6de
   Witsenburg KarenMargaret Adano Wario Roba., 2004, Surviving Pastoral Decline: Pastoral Sedentarisation, Natural Resource Management and Livelihood Diversification in Marsabit District, Northern Kenya
   Woodhouse E, 2018, ECOL SOC, V23, DOI 10.5751/ES-09986-230143
   World Food Programme, 2022, Climate: WFP helps pastoralists in Kenya adapt to changing weather
NR 61
TC 0
Z9 0
U1 6
U2 7
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0199-0039
EI 1573-7810
J9 POPUL ENVIRON
JI Popul. Env.
PD SEP
PY 2024
VL 46
IS 3
AR 17
DI 10.1007/s11111-024-00456-5
PG 24
WC Demography; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Demography; Environmental Sciences & Ecology
GA UT6V0
UT WOS:001250357000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Chen, L
   Wang, J
   Ye, JY
   Wang, LZ
   Liu, Z
   Zhuo, S
   Ouyang, XX
   Zhou, XQ
   Wang, Y
   Chen, WF
   Liu, Y
AF Chen, Long
   Wang, Jia
   Ye, Jianyong
   Wang, Lizhong
   Liu, Zheng
   Zhuo, Sheng
   Ouyang, Xingxing
   Zhou, Xiaoqing
   Wang, Yue
   Chen, Weifan
   Liu, Yue
TI One-step assembly of organic-inorganic hybrid coatings with superior
   thermal insulation, sustainable antifogging and self-cleaning
   capabilities
SO PROGRESS IN ORGANIC COATINGS
LA English
DT Article
DE Energy -saving window; Cesium tungsten bronze; Thermal insulation;
   Antifogging; Self-cleaning
ID POLY(ACRYLIC ACID); NANOPARTICLES; STABILITY; ENERGY; WETTABILITY;
   PERFORMANCE; COMPLEXES; ADHESIVE; SURFACES; WINDOWS
AB Multifunctional transparent glass integrating energy-saving and antifogging properties has receiving continuous attention in basic research and practical applications, which is still plagued by the lack of simple and general methods for low-cost and large-area fabrication. Herein, a multifunctional window with high thermal insulation, antifogging, and self-cleaning functions is rationally fabricated via coating a mixture of polyacrylic acid (PAA), polypropylene glycol (PPG), 3-glycidyloxypropyltrimethoxysilane (KH-560), and cesium tungsten bronze (CWO) nanoparticles on a monolayer film. The synergistic effect between the plentiful hydroxyl/carboxyl groups of PAA/PPG and the nano-textured surface induced by CWO nanoparticles enabled the monolayer film to exhibit superhydrophilic, self-cleaning and antifogging capabilities. The film maintains its antifogging properties even after 80 rubbings of dust-free cloth and 120 days of exposure tests at room temperature. Moreover, the asprepared window can reduce the indoor temperature by 15.8 degrees C compared to a normal window at noon. The energy simulation results demonstrate that such windows can reduce energy consumption by 18.9 % in local cities compared to traditional windows. The high visible light transmittance, low haze, stable and durable antifogging ability, distinguished energy-saving effect and climate adaptability, as well as the solution-based process of this multifunctional window make it promising for architectural and automotive glass applications.
C1 [Chen, Long; Wang, Jia; Zhuo, Sheng; Ouyang, Xingxing; Chen, Weifan; Liu, Yue] Nanchang Univ, Sch Phys & Mat Sci, Nanchang 330031, Peoples R China.
   [Ye, Jianyong; Wang, Lizhong; Liu, Zheng; Chen, Weifan; Liu, Yue] Jiangxi Sun Nano Adv Mat Technol Co Ltd, Ganzhou 341000, Peoples R China.
   [Zhou, Xiaoqing; Chen, Weifan; Liu, Yue] Nanchang Univ, Rare Earth Res Inst, Nanchang 330031, Peoples R China.
   [Wang, Yue] Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia.
C3 Nanchang University; Nanchang University; University of Sydney
RP Liu, Y (corresponding author), Nanchang Univ, Sch Phys & Mat Sci, Nanchang 330031, Peoples R China.; Liu, Y (corresponding author), Jiangxi Sun Nano Adv Mat Technol Co Ltd, Ganzhou 341000, Peoples R China.; Liu, Y (corresponding author), Nanchang Univ, Rare Earth Res Inst, Nanchang 330031, Peoples R China.
EM yueliu@ncu.edu.cn
RI Zhou, Xiaoqing/M-1632-2019; Liu, Yue/LFV-5908-2024
OI Liu, Yue/0000-0002-2271-5125
FU National Natural Science Foundation of China [22209066, 21761020,
   202101124533]; "Light of Soviet Area " talent program of Ganzhou City;
   Key Research and Development Project of Ganzhou City [20212BAB214064];
   Jiangxi Sun -Nano Advanced Materials Technology Co., Ltd.; Jiangxi
   Provincial Natural Science Foundation [20224BAB204072];  [22261031]
FX This work was supported by the National Natural Science Foundation of
   China (No. 22261031, No. 22209066, and No. 21761020) , the " Light of
   Soviet Area " talent program of Ganzhou City, the Key Research and
   Development Project of Ganzhou City (No. 202101124533) , Jiangxi Sun
   -Nano Advanced Materials Technology Co., Ltd., and Jiangxi Provincial
   Natural Science Foundation (No. 20212BAB214064, No. 20224BAB204072).
CR Ayodhya D, 2015, INT J IND CHEM, V6, P261, DOI 10.1007/s40090-015-0047-7
   Chang TC, 2018, NANO ENERGY, V44, P256, DOI 10.1016/j.nanoen.2017.11.061
   Chen CJ, 2012, CHEM ENG J, V180, P337, DOI 10.1016/j.cej.2011.11.035
   D'Agaro P, 2006, APPL THERM ENG, V26, P1927, DOI 10.1016/j.applthermaleng.2006.01.014
   Edalatpour M, 2018, APPL ENERG, V222, P967, DOI 10.1016/j.apenergy.2018.03.178
   Fateh R, 2013, LANGMUIR, V29, P3730, DOI 10.1021/la400191x
   Feng K, 2020, ACS APPL MATER INTER, V12, P27632, DOI 10.1021/acsami.0c07949
   Ferrara M, 2016, SURF COAT TECH, V295, P2, DOI 10.1016/j.surfcoat.2015.12.015
   Gago EJ, 2015, RENEW SUST ENERG REV, V41, P1, DOI 10.1016/j.rser.2014.08.002
   Gu K, 2020, J CLEAN PROD, V271, DOI 10.1016/j.jclepro.2020.122497
   Guo W, 2017, ADV MATER, V29, DOI 10.1002/adma.201604157
   Han ZW, 2018, ADV MATER, V30, DOI 10.1002/adma.201704652
   Huang H, 2015, MATER DESIGN, V88, P384, DOI 10.1016/j.matdes.2015.09.013
   Kammen DM, 2016, SCIENCE, V352, P922, DOI 10.1126/science.aad9302
   Ke YJ, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201800113
   Lee H, 2013, ACS NANO, V7, P2172, DOI 10.1021/nn3057966
   Li LB, 2016, ANGEW CHEM INT EDIT, V55, P9093, DOI 10.1002/anie.201604671
   Li XN, 2016, RSC ADV, V6, P45158, DOI 10.1039/c6ra08138j
   Li Y, 2018, APPL CATAL B-ENVIRON, V229, P218, DOI 10.1016/j.apcatb.2018.02.024
   Lin S, 2019, NANO ENERGY, V62, P111, DOI 10.1016/j.nanoen.2019.04.071
   Lin ST, 2021, ADV FUNCT MATER, V31, DOI 10.1002/adfm.202103551
   Liu CC, 2014, ACS NANO, V8, P1321, DOI 10.1021/nn404761q
   Liu XY, 2020, CHEM ENG J, V393, DOI 10.1016/j.cej.2020.124791
   Manabe K, 2017, CHEM MATER, V29, P4745, DOI 10.1021/acs.chemmater.7b00465
   Marotta A, 2021, CHEM ENG J, V406, DOI 10.1016/j.cej.2020.127107
   Nakakura S, 2019, INORG CHEM, V58, P9101, DOI 10.1021/acs.inorgchem.9b00642
   Parajuli DC, 2009, ACS APPL MATER INTER, V1, P750, DOI 10.1021/am800191m
   Park JT, 2014, NANOSCALE, V6, P7362, DOI 10.1039/c4nr00919c
   Pattathil P, 2016, NANO ENERGY, V30, P242, DOI 10.1016/j.nanoen.2016.10.013
   Qi HS, 2019, ACS APPL MATER INTER, V11, P24504, DOI 10.1021/acsami.9b03522
   Reis AV, 2009, J ORG CHEM, V74, P3750, DOI 10.1021/jo900033c
   Ren JL, 2021, J COLLOID INTERF SCI, V602, P406, DOI 10.1016/j.jcis.2021.06.032
   Shi JH, 2022, ADV SCI, V9, DOI 10.1002/advs.202200072
   Si YF, 2018, ACS CENTRAL SCI, V4, P1102, DOI 10.1021/acscentsci.8b00504
   Torres-Pierna H, 2020, MATER HORIZ, V7, P2749, DOI 10.1039/d0mh01073a
   Ulu A, 2020, INT J BIOL MACROMOL, V163, P529, DOI 10.1016/j.ijbiomac.2020.07.015
   Wang XQ, 2021, CHEM ENG J, V409, DOI 10.1016/j.cej.2020.128228
   WENZEL RN, 1949, J PHYS COLLOID CHEM, V53, P1466, DOI 10.1021/j150474a015
   Xu LN, 2018, ACS CATAL, V8, P11910, DOI 10.1021/acscatal.8b03256
   Xu XF, 2023, CHEM ENG J, V451, DOI 10.1016/j.cej.2022.137879
   Yao L, 2019, ACS APPL ENERG MATER, V2, P7467, DOI 10.1021/acsaem.9b01382
   Yao L, 2013, LANGMUIR, V29, P3089, DOI 10.1021/la4000999
   Yao YJ, 2018, CERAM INT, V44, P13469, DOI 10.1016/j.ceramint.2018.04.158
   Yu X, 2006, LANGMUIR, V22, P4483, DOI 10.1021/la053133c
   Zeng XZ, 2015, J MATER CHEM C, V3, P8050, DOI 10.1039/c5tc01411e
   Zhang H, 2020, J MATER CHEM A, V8, P17800, DOI 10.1039/d0ta05036a
   Zhang R, 2021, J MATER CHEM A, V9, P17481, DOI 10.1039/d1ta03917b
   Zheng JY, 2015, NANO ENERGY, V11, P136, DOI 10.1016/j.nanoen.2014.09.023
   Zheng ZY, 2020, PROG ORG COAT, V142, DOI 10.1016/j.porgcoat.2020.105578
   Zhou Y, 2020, JOULE, V4, P2458, DOI 10.1016/j.joule.2020.09.001
   Zhou YJ, 2017, J MATER CHEM C, V5, P6251, DOI 10.1039/c7tc01616f
   Zhu YX, 2010, J MEMBRANE SCI, V349, P341, DOI 10.1016/j.memsci.2009.11.065
NR 52
TC 4
Z9 4
U1 9
U2 45
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0300-9440
EI 1873-331X
J9 PROG ORG COAT
JI Prog. Org. Coat.
PD NOV
PY 2023
VL 184
AR 107878
DI 10.1016/j.porgcoat.2023.107878
EA AUG 2023
PG 10
WC Chemistry, Applied; Materials Science, Coatings & Films
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Materials Science
GA S0ED1
UT WOS:001067979700001
DA 2025-01-10
ER

PT J
AU Judd, M
   Bond, N
   Horne, AC
AF Judd, Meegan
   Bond, Nicholas
   Horne, Avril C.
TI The Challenge of Setting "Climate Ready" Ecological Targets for
   Environmental Flow Planning
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE environmental flows; objectives; climate change; adaptation; water
   availability
ID MURRAY-DARLING BASIN; FRESH-WATER; BIODIVERSITY CONSERVATION;
   CONCEPTUAL-FRAMEWORK; RESTORATION ECOLOGY; VULNERABILITY; RIVER;
   ADAPTATION; MANAGEMENT; ECOSYSTEMS
AB Implementing environmental flows has emerged as a major river management tool for addressing the impacts of hydrologic alteration in large river systems. The "natural flow paradigm" has been a central guiding principle for determining important ecohydrological relationships. Yet, climate change and associated changes in rainfall run off relationships, seasonality of flows, disruptions to food webs and species life cycle cues mean these existing relationships will, in many circumstances, become obsolete. Revised thinking around setting ecological objectives is required to ensure environmental management targets are achievable, particularly in regions where water scarcity is predicted to increase. Through this lens "climate ready" targets are those that are robust to changing water availability or incorporate future adaptation options. Future objective setting should be based around the inclusion of changing climate and water availability, and the associated species and ecosystem vulnerabilities, and expected outcomes under different policy and adaptation options. This paper uses south eastern Australia as a case study region to review the extent to which current water management plans include climate considerations and adaptation in objective setting. Results show untested climate adaptation inclusions, and a general lack of acknowledgement of changing hydrological and ecological conditions in existing management plans. In response this paper presents a process for setting objectives so they can be considered "climate ready."
C1 [Judd, Meegan; Bond, Nicholas] La Trobe Univ, Ctr Freshwater Ecosyst, Wodonga, Vic, Australia.
   [Horne, Avril C.] Univ Melbourne, Sch Engn, Parkville, Vic, Australia.
C3 La Trobe University; University of Melbourne
RP Judd, M (corresponding author), La Trobe Univ, Ctr Freshwater Ecosyst, Wodonga, Vic, Australia.
EM meegan.judd@latrobe.edu.au
OI Horne, Avril/0000-0001-6615-9987; Judd, Meegan/0000-0003-2433-290X
FU Department of Environment, Land, Water and Planning, Victoria,
   Australia; Goulburn Broken Catchment Management Authority, Victoria,
   Australia; ARC DECRA [DE180100550]; Australian Research Council
   [DE180100550] Funding Source: Australian Research Council
FX MJ is funded through an industry PhD scholarship with funding from the
   Department of Environment, Land, Water and Planning, Victoria, Australia
   and Goulburn Broken Catchment Management Authority, Victoria, Australia.
   AH was funded through an ARC DECRA award (DE180100550).
CR Acreman M, 2004, HYDROL EARTH SYST SC, V8, P861, DOI 10.5194/hess-8-861-2004
   Alexandra J, 2017, WATER ECON POLICY, V3, DOI 10.1142/S2382624X16500387
   Anderson EP, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1381
   Angeler DG, 2014, AMBIO, V43, P113, DOI 10.1007/s13280-014-0566-z
   [Anonymous], 2016, IUCN SSC guidelines for assessing species' vulnerability to climate change (version 1.0), DOI [DOI 10.2305/IUCN.CH.2016.SSC-OP.59.EN, 10.2305/IUCN.CH.2016.SSC-OP.59.en]
   [Anonymous], 2012, STRUCTURED DECISION, DOI DOI 10.1002/9781444398557
   [Anonymous], 2013, HCSU044 U HAW
   Arora M, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P101, DOI 10.1016/B978-0-12-803907-6.00006-1
   Arthington AH, 2006, ECOL APPL, V16, P1311, DOI 10.1890/1051-0761(2006)016[1311:TCOPEF]2.0.CO;2
   Arthington AH, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00045
   Boltz Frederick, 2019, Water Security, V8, DOI 10.1016/j.wasec.2019.100048
   BOM and CSIRO, 2020, STAT CLIM 2020
   Bond NR, 2019, MULTIPLE STRESSORS IN RIVER ECOSYSTEMS: STATUS, IMPACTS AND PROSPECTS FOR THE FUTURE, P111, DOI 10.1016/B978-0-12-811713-2.00006-6
   Booth DJ, 2011, MAR FRESHWATER RES, V62, P1027, DOI 10.1071/MF10270
   Bunn SE, 2016, FRONT ENV SCI-SWITZ, V4, DOI 10.3389/fenvs.2016.00021
   Capon SJ, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00080
   Capon SJ, 2017, WATER ECON POLICY, V3, DOI 10.1142/S2382624X16500375
   Choi YD, 2007, RESTOR ECOL, V15, P351, DOI 10.1111/j.1526-100X.2007.00224.x
   Colloff MJ, 2016, CLIMATIC CHANGE, V138, P267, DOI 10.1007/s10584-016-1724-z
   Comte L, 2017, NAT CLIM CHANGE, V7, P718, DOI 10.1038/NCLIMATE3382
   Cottingham P., 2002, AUSTR J WATER RESOUR, V5, P103, DOI [10.1080/13241583.2002.11465196, DOI 10.1080/13241583.2002.11465196]
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   De Lange HJ, 2010, SCI TOTAL ENVIRON, V408, P3871, DOI 10.1016/j.scitotenv.2009.11.009
   Department for Environment and Water, 2021, DROUGHT RES FUND PLA
   Doran G. T., 1981, Management Review, V70, P35, DOI DOI 10.1177/004057368303900411
   Dudgeon D, 2019, CURR BIOL, V29, pR960, DOI 10.1016/j.cub.2019.08.002
   Dunlop M., 2013, CLIMATE READY CONSER
   Edvardsson K, 2007, J ENVIRON PLANN MAN, V50, P297, DOI 10.1080/09640560601156540
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Fortini L., 2017, CLIM CHANGE RESPONSE, V4, P2, DOI [10.1186/s40665-017-0030-y, DOI 10.1186/S40665-017-0030-Y]
   Grafton RQ, 2014, AMBIO, V43, P1082, DOI 10.1007/s13280-014-0495-x
   Hallegatte S., 2012, Policy Research Working Paper - World Bank
   Hallett LM, 2013, RESTOR ECOL, V21, P312, DOI 10.1111/rec.12007
   Hansen L.J., 2011, CLIMATE SAVVY ADAPTI
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   Harris RMB, 2018, NAT CLIM CHANGE, V8, P579, DOI 10.1038/s41558-018-0187-9
   Hart BT, 2016, INT J WATER RESOUR D, V32, P819, DOI 10.1080/07900627.2015.1083847
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hobbs RJ, 1996, RESTOR ECOL, V4, P93, DOI 10.1111/j.1526-100X.1996.tb00112.x
   Hobbs RJ, 2001, RESTOR ECOL, V9, P239, DOI 10.1046/j.1526-100x.2001.009002239.x
   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, P189, DOI 10.1016/B978-0-12-803907-6.00010-3
   Horne AC, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P361, DOI 10.1016/B978-0-12-803907-6.00017-6
   John A, 2020, J WATER CLIM CHANGE, V11, P327, DOI 10.2166/wcc.2020.263
   Juhola S, 2015, MITIG ADAPT STRAT GL, V20, P99, DOI 10.1007/s11027-013-9481-z
   Kiem AS, 2016, J WATER CLIM CHANGE, V7, P263, DOI 10.2166/wcc.2015.040
   King J.M., 2000, ENV FLOW ASSESSMENTS
   King J, 2010, FRESHWATER BIOL, V55, P127, DOI 10.1111/j.1365-2427.2009.02316.x
   Koehn JD, 2011, MAR FRESHWATER RES, V62, P1148, DOI 10.1071/MF11139
   Ladson A, 2002, RIVER RES APPL, V18, P555, DOI 10.1002/rra.680
   Lin BB, 2013, ECOL SOC, V18, DOI 10.5751/ES-05128-180128
   Mastrandrea MD, 2010, CLIMATIC CHANGE, V100, P87, DOI 10.1007/s10584-010-9827-4
   Mezger G, 2019, ENVIRON MANAGE, V64, P721, DOI 10.1007/s00267-019-01222-2
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Morrongiello JR, 2011, MAR FRESHWATER RES, V62, P1082, DOI 10.1071/MF10308
   Nel JL, 2011, MAR FRESHWATER RES, V62, P290, DOI 10.1071/MF09318
   OEH, 2014, MURR MURR CLIM CHANG
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Palmer MA, 2009, ENVIRON MANAGE, V44, P1053, DOI 10.1007/s00267-009-9329-1
   Pielke RA, 2012, GEOPHYS MONOGR SER, V196, P345, DOI 10.1029/2011GM001086
   Pittock J., 2015, WATER-SUI, V42, P28, DOI [DOI 10.3316/INFORMIT.603377005698763, 10.3316/informit.603377005698763]
   Poff NL, 2018, FRESHWATER BIOL, V63, P1011, DOI 10.1111/fwb.13038
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Prober S.M., 2011, ECOL MANAG RESTOR, V12, P2, DOI DOI 10.1111/j.1442-8903.2011.00563.x
   Prober SM, 2017, RANGELAND J, V39, P477, DOI [10.1071/rj17069, 10.1071/RJ17069]
   Prober SM, 2012, CLIMATIC CHANGE, V110, P227, DOI 10.1007/s10584-011-0092-y
   Saft M, 2016, GEOPHYS RES LETT, V43, P1574, DOI 10.1002/2015GL067326
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Shenton W, 2012, ENVIRON MANAGE, V50, P1, DOI 10.1007/s00267-012-9864-z
   Smakhtin V, 2004, WATER INT, V29, P307, DOI 10.1080/02508060408691785
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Tear TH, 2005, BIOSCIENCE, V55, P835, DOI 10.1641/0006-3568(2005)055[0835:HMIETR]2.0.CO;2
   Tharme RE, 2003, RIVER RES APPL, V19, P397, DOI 10.1002/rra.736
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Tonkin JD, 2019, NATURE, V570, P301, DOI 10.1038/d41586-019-01877-1
   Tonkin JD, 2018, NAT ECOL EVOL, V2, P86, DOI 10.1038/s41559-017-0379-0
   Victorian Department of Environment, 2019, WAT PLANN 2019
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Watts RJ, 2020, RIVER RES APPL, V36, P668, DOI 10.1002/rra.3620
   West JM, 2009, ENVIRON MANAGE, V44, P1001, DOI 10.1007/s00267-009-9345-1
   Wilson KA, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00112
   Wilson KA, 2009, ANN NY ACAD SCI, V1162, P237, DOI 10.1111/j.1749-6632.2009.04149.x
   Yarnell SM, 2015, BIOSCIENCE, V65, P963, DOI 10.1093/biosci/biv102
   Young W., 2011, SCI REIVEW ESTIMATIO
NR 87
TC 8
Z9 8
U1 0
U2 23
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD FEB 10
PY 2022
VL 10
AR 714877
DI 10.3389/fenvs.2022.714877
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ZH6GA
UT WOS:000761033700001
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Middleton, J
   Cunsolo, A
   Jones-Bitton, A
   Shiwak, I
   Wood, M
   Pollock, N
   Flowers, C
   Harper, SL
AF Middleton, Jacqueline
   Cunsolo, Ashlee
   Jones-Bitton, Andria
   Shiwak, Inez
   Wood, Michele
   Pollock, Nathaniel
   Flowers, Charlie
   Harper, Sherilee L.
TI "We're people of the snow:" Weather, climate change, and Inuit mental
   wellness
SO SOCIAL SCIENCE & MEDICINE
LA English
DT Article
DE Climate change; Inuit; Mental wellness; Mental health; Weather;
   Seasonality; Nunatsiavut; Circumpolar
ID SELF-DETERMINATION; FOOD INSECURITY; SEA-ICE; HEALTH; SEASONALITY;
   IDENTITY; PLACE; VULNERABILITY; LANDSCAPES; NUNAVUT
AB Rapid environmental change due to climate change impacts Inuit mental wellness by altering the relationships between people, place, livelihoods, and culture. Little is known, however, about how fluctuations in weather contribute to the experience of place and the connection to mental wellness in Inuit communities. This study aimed to characterize the importance of changes in weather among Inuit, and how these changes influence mental health and wellness in the context of climate change. Data were drawn from a community-driven and Inuit-led study in the Nunatsiavut region of Labrador, Canada. In-depth interviews (n = 116 people) were conducted between November 2012 to May 2013 in the five Nunatsiavut communities. Qualitative data were thematically analyzed using a constant comparative method. Results indicated that weather impacted mental wellness through three key pathways: 1) shaping daily lived experiences including connection to place and other determinants of wellbeing; 2) altering mood and emotion on a transient basis; and 3) seasonally influencing individual and community health and wellbeing. These results demonstrate the immediate role weather has in shaping mental wellness in Nunatsiavut. In turn, this understanding of the climate-mental wellness relationship points to multiple pathways for action on climate adaptation policy and programming, and underscores the need for more culturally-specific and place-based investigations to appropriately respond to the mental health impacts of climate change.
C1 [Middleton, Jacqueline; Jones-Bitton, Andria; Harper, Sherilee L.] Univ Guelph, Dept Populat Med, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada.
   [Middleton, Jacqueline; Pollock, Nathaniel; Harper, Sherilee L.] Univ Alberta, Sch Publ Hlth, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada.
   [Cunsolo, Ashlee] Mem Univ, Labrador Inst, 219 Hamilton River Rd,POB 490,Stn B, Happy Valley Goose Bay, NF A0P 1E0, Canada.
   [Cunsolo, Ashlee; Pollock, Nathaniel] Mem Univ, Fac Med, Div Community Hlth & Humanities, 300 Prince Philip Dr, St John, NF A1B 3V6, Canada.
   [Shiwak, Inez; Flowers, Charlie] Torngat Wildlife Plants & Fisheries Secretariat, 217 Hamilton River Rd, Happy Valley Goose Bay, NF A0P 1C0, Canada.
   [Wood, Michele] Nunatsiavut Govt, Dept Hlth & Social Dev, 218 Kelland Dr,POB 496,Stn C, Happy Valley Goose Bay, NF A0P 1C0, Canada.
C3 University of Guelph; University of Alberta; Memorial University
   Newfoundland; Memorial University Newfoundland
RP Middleton, J (corresponding author), Univ Guelph, Dept Populat Med, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada.; Cunsolo, A (corresponding author), Mem Univ, Labrador Inst, 219 Hamilton River Rd,POB 490,Stn B, Happy Valley Goose Bay, NF A0P 1E0, Canada.; Harper, SL (corresponding author), Univ Alberta, Sch Publ Hlth, 11405-87 Ave, Edmonton, AB T6G 1C9, Canada.
EM jmiddl03@uoguelph.ca; ashlee.cunsolo@mun.ca; sherilee.harper@ualberta.ca
RI Harper, Sherilee/L-4996-2013
FU Health Canada's First Nations and Inuit Health Branch; Nasivvik Centre
   for Inuit Health and Changing Environments, Polar Knowledge Canada; CIHR
   (Rigolet Inuit Community Government); CIHR, Ontario Graduate Scholarship
   Program; Arthur D. Latornell Graduate and Travel Scholarships; Northern
   Scientific Training Program
FX Funding for this project was provided through Health Canada's First
   Nations and Inuit Health Branch, the Nasivvik Centre for Inuit Health
   and Changing Environments, Polar Knowledge Canada, and CIHR (to A.C.;
   the Rigolet Inuit Community Government; and S.L.H.), as well as
   scholarships and travel awards (to J.M.: CIHR, Ontario Graduate
   Scholarship Program; the Arthur D. Latornell Graduate and Travel
   Scholarships; and the Northern Scientific Training Program). Our deepest
   thanks to all of the participants for sharing their stories, wisdom, and
   expertise, as well as to the Inuit Mental Health Adaptation to Climate
   Change Team: Jack Shiwak and Charlotte Wolfrey (Rigolet Inuit Community
   Government); Marilyn Baikie (`My Word': Storytelling & Media Lab); Herb
   Jacque and Myrtle Groves, (Makkovik Inuit Community Government); Diane
   Gear and Greg Jacque (Postville Inuit Community Government); Wayne
   Piercy and Juliana Flowers (Hopedale Inuit Community Government);
   Anthony Andersen and Noah Nochasak (Nain Inuit Community Government).
CR Alianait Inuit-specific Mental Wellness Task Group, 2007, AL IN MENT WELLN ACT
   AMAP, 2015, AMAP ASS 2015 HUM HL, DOI 10.3402/ijch.v75.33949
   [Anonymous], 2016, NATL INUIT SUICIDE P
   [Anonymous], INT J QUAL METHODS
   [Anonymous], WILEY INTERDISCIP RE
   [Anonymous], 2015, REG ENVIRON CHANGE, DOI DOI 10.1007/s10113-014-0630-z
   [Anonymous], 2017, MENTAL HLTH OUR CHAN
   Aporta C, 2009, HUM ECOL, V37, P131, DOI 10.1007/s10745-009-9213-x
   Beaumier MC, 2010, CAN J PUBLIC HEALTH, V101, P196, DOI 10.1007/BF03404373
   Berry HL, 2018, NAT CLIM CHANGE, V8, P282, DOI 10.1038/s41558-018-0102-4
   Berry HL, 2010, INT J PUBLIC HEALTH, V55, P123, DOI 10.1007/s00038-009-0112-0
   Birks M, 2008, J RES NURS, V13, P68, DOI 10.1177/1744987107081254
   Björkstén KS, 2005, PSYCHIAT RES, V133, P205, DOI 10.1016/j.psychres.2004.12.002
   Boeije H, 2002, QUAL QUANT, V36, P391, DOI 10.1023/A:1020909529486
   Bourque F, 2014, INT REV PSYCHIATR, V26, P415, DOI 10.3109/09540261.2014.925851
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Bunce A, 2016, NAT HAZARDS, V83, P1419, DOI 10.1007/s11069-016-2398-6
   Burke M, 2018, NAT CLIM CHANGE, V8, P723, DOI 10.1038/s41558-018-0222-x
   Clark DG, 2016, SOC SCI MED, V169, P18, DOI 10.1016/j.socscimed.2016.09.026
   Crate S. A., 2012, POLAR J, V2, P61, DOI [10.1080/2154896X.2012.679560, DOI 10.1080/2154896X.2012.679560]
   Cunsolo A, 2018, NAT CLIM CHANGE, V8, P275, DOI 10.1038/s41558-018-0092-2
   Cunsolo W. A., 2013, EMOT SPACE SOC, V6, P14, DOI DOI 10.1016/J.EMOSPA.2011.08.005
   Deci EL, 2000, PSYCHOL INQ, V11, P227, DOI 10.1207/S15327965PLI1104_01
   DeCuir-Gunby JT, 2011, FIELD METHOD, V23, P136, DOI 10.1177/1525822X10388468
   Dowsley M., 2010, Etudes/ Inuit/ Studies, V34, P151, DOI 10.7202/045409ar
   Durkalec A., 2013, UNDERSTANDING ROLE E
   Durkalec A, 2015, SOC SCI MED, V136, P17, DOI 10.1016/j.socscimed.2015.04.026
   Ellis NR, 2017, SOC SCI MED, V175, P161, DOI 10.1016/j.socscimed.2017.01.009
   Finlay J, 2015, HEALTH PLACE, V34, P97, DOI 10.1016/j.healthplace.2015.05.001
   Ford JD, 2018, ENVIRON REV, V26, P82, DOI 10.1139/er-2017-0027
   Gearheard S, 2010, CLIMATIC CHANGE, V100, P267, DOI 10.1007/s10584-009-9587-1
   Hadley C, 2008, AM J PHYS ANTHROPOL, V135, P225, DOI 10.1002/ajpa.20724
   Harper SL, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-1874-3
   Harper Wood Cook Flowers Shiwak Gillis Cunsolo Sawatzky A M. C. D. A., 2017, NUNATSIAVUT N PUBLIC, P18
   Harrison S, 2004, J ROY ANTHROPOL INST, V10, P583, DOI 10.1111/j.1467-9655.2004.00203.x
   Hart CR, 2011, AUST J RURAL HEALTH, V19, P231, DOI 10.1111/j.1440-1584.2011.01225.x
   Hayes K, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091806
   Hayes K, 2018, INT J MENT HEALTH SY, V12, DOI 10.1186/s13033-018-0210-6
   Hirsch R, 2016, ETUDES INUIT STUD, V40, P63
   Hoegh-Guldberg O., 2018, IMPACTS 15 C GLOBAL
   Hogg MA, 1995, SOC PSYCHOL QUART, V58, P255, DOI 10.2307/2787127
   Hulme Mike., 2017, Weathered. Cultures of Climate, V1
   Kanatami InuitTapiriit., 2014, Social Determinants of Inuit Health in Canada
   Kipp A, 2019, INT J CIRCUMPOL HEAL, V78, DOI 10.1080/22423982.2018.1517581
   Kirmayer LJ, 2009, HEALING TRADITIONS: THE MENTAL HEALTH OF ABORIGINAL PEOPLES IN CANADA, P1
   Knez I, 2005, J ENVIRON PSYCHOL, V25, P207, DOI 10.1016/j.jenvp.2005.03.003
   Knox S, 2009, PSYCHOTHER RES, V19, P566, DOI 10.1080/10503300802702105
   Kral MJ, 2011, AM J COMMUN PSYCHOL, V48, P426, DOI 10.1007/s10464-011-9431-4
   Kvale S., 2009, Interviews: Learning the Craft of Qualitative Research Interviewing
   MacDonald JP, 2015, SOC SCI MED, V141, P133, DOI 10.1016/j.socscimed.2015.07.017
   McNamara KE, 2011, ECOHEALTH, V8, P233, DOI 10.1007/s10393-011-0698-6
   Middleton J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab68a9
   Milligan MJ, 2003, SYMB INTERACT, V26, P381, DOI 10.1525/si.2003.26.3.381
   Organ J, 2014, HEALTH PLACE, V30, P251, DOI 10.1016/j.healthplace.2014.09.012
   Ostapchuk J., 2015, Int. J. Indigenous Health, V9, P6, DOI [10.18357/ijih92201214358, DOI 10.18357/IJIH92201214358]
   Palang H., 2005, Landscape Res, V30, P165, DOI [10.1080/01426390500044259, DOI 10.1080/01426390500044259]
   Preston CJ, 2017, ETHICS POLICY ENV, V20, P143, DOI 10.1080/21550085.2017.1342962
   Richmond CAM, 2009, HEALTH PLACE, V15, P403, DOI 10.1016/j.healthplace.2008.07.004
   Riedlsperger R, 2014, VULNERABILITY CHANGE
   Robertson S, 2019, ENVIRON PLANN D, V37, P542, DOI 10.1177/0263775818821129
   Sakakibara C, 2009, POLAR REC, V45, P289, DOI 10.1017/S0032247408008164
   Screen JA, 2017, J CLIMATE, V30, P3945, DOI 10.1175/JCLI-D-16-0197.1
   Silveira ML, 2016, PUBLIC HEALTH, V137, P35, DOI 10.1016/j.puhe.2016.02.010
   Skogli HR, 2017, INT J CIRCUMPOL HEAL, V76, DOI 10.1080/22423982.2017.1302684
   Statistics Canada, 2016, CENS PROF WWW DOC 20
   Suri H, 2011, QUAL RES J, V11, P63, DOI 10.3316/QRJ1102063
   Tam BY, 2013, POPUL ENVIRON, V35, P45, DOI 10.1007/s11111-012-0183-3
   Tschakert P, 2013, EMOT SPACE SOC, V7, P13, DOI 10.1016/j.emospa.2011.11.001
   Watts N, 2017, LANCET, V389, P1151, DOI 10.1016/S0140-6736(16)32124-9
   Way RG, 2015, THEOR APPL CLIMATOL, V121, P413, DOI 10.1007/s00704-014-1248-2
   Werkheiser I, 2017, ETHICS POLICY ENV, V20, P156, DOI 10.1080/21550085.2017.1342966
   Willox AC, 2013, CLIMATIC CHANGE, V121, P255, DOI 10.1007/s10584-013-0875-4
   Willox AC, 2012, SOC SCI MED, V75, P538, DOI 10.1016/j.socscimed.2012.03.043
   Woo JM, 2012, INT J ENV RES PUB HE, V9, P531, DOI 10.3390/ijerph9020531
NR 74
TC 27
Z9 30
U1 6
U2 42
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0277-9536
J9 SOC SCI MED
JI Soc. Sci. Med.
PD OCT
PY 2020
VL 262
AR 113137
DI 10.1016/j.socscimed.2020.113137
PG 11
WC Public, Environmental & Occupational Health; Social Sciences, Biomedical
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Biomedical Social Sciences
GA NP6UH
UT WOS:000570309100017
PM 32889361
OA hybrid
DA 2025-01-10
ER

PT J
AU Gronlund, CJ
   Berrocal, VJ
AF Gronlund, Carina J.
   Berrocal, Veronica J.
TI Modeling and comparing central and room air conditioning ownership and
   cold-season in-home thermal comfort using the American Housing Survey
SO JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
LA English
DT Article
DE Climate change; Vulnerability; Air conditioning
ID LAND-SURFACE TEMPERATURE; CLIMATE-CHANGE; EXTREME HEAT; HEALTH; DETROIT;
   MORTALITY; EXPOSURE; CITIES; ENERGY; PM2.5
AB Household-level information on central air conditioning (cenAC) and room air conditioning (rmAC) air conditioning and cold-weather thermal comfort are often missing from publicly available housing databases hindering research and action on climate adaptation and air pollution exposure reduction. We modeled these using information from the American Housing Survey for 2003-2013 and 140 US core-based statistical areas employing variables that would be present in publicly available parcel records. We present random-intercept logistic regression models with either cenAC, rmAC or "home was uncomfortably cold for 24 h or more" (tooCold) as outcome variables and housing value, rented vs. owned, age, and multi- vs. single-family, each interacted with cooling- or heating-degree days as predictors. The out-of-sample predicted probabilities for years 2015-2017 were compared with corresponding American Housing Survey values (0 or 1). Using a 0.5 probability threshold, the model had 63% specificity (true negative rate), and 91% sensitivity (true positive rate) for cenAC, while specificity and sensitivity for rmAC were 94% and 34%, respectively. Area-specific sensitivities and specificities varied widely. For tooCold, the overall sensitivity was effectively 0%. Future epidemiologic studies, heat vulnerability maps, and intervention screenings may reliably use these or similar AC models with parcel-level data to improve understanding of health risk and the spatial patterning of homes without AC.
C1 [Gronlund, Carina J.] Univ Michigan, Inst Social Res, Survey Res Ctr, Social Environm & Hlth Program, 426 Thompson St, Ann Arbor, MI 48109 USA.
   [Berrocal, Veronica J.] Univ Calif Irvine, Dept Stat, Irvine, CA USA.
C3 University of Michigan System; University of Michigan; University of
   California System; University of California Irvine
RP Gronlund, CJ (corresponding author), Univ Michigan, Inst Social Res, Survey Res Ctr, Social Environm & Hlth Program, 426 Thompson St, Ann Arbor, MI 48109 USA.
EM gronlund@umich.edu
RI Gronlund, Carina/A-9253-2018
OI Gronlund, Carina/0000-0002-0533-745X
FU National Institute of Environmental Health Sciences, National Institutes
   of Health [P30ES017885, K99ES026198, R00ES026198]; National Science
   Foundation [1520803]; National Institute of Environmental Health
   Sciences [R00ES026198, P30ES017885] Funding Source: NIH RePORTER; Divn
   Of Social and Economic Sciences; Direct For Social, Behav & Economic
   Scie [1520803] Funding Source: National Science Foundation
FX We thank our "Heatwaves, Housing, and Health" community-academic
   partnership, which includes Marie O'Neill, Larissa Larsen, and Tony
   Reames of the University of Michigan, Guy Williams and Wibke Heymach of
   Detroiters Working for Environmental Justice, Justin Schott of EcoWorks,
   Sara Clark of Southwest Detroit Environmental Vision, Michelle Lee and
   Rebecca Nikodem of Jefferson East, Inc., and Zachary Rowe of Friends of
   Parkside for providing the research hypotheses and feedback on
   preliminary results. Support for this research was provided by grants
   P30ES017885 (VJB and CJG), K99ES026198 (CJG), and R00ES026198 (CJG) from
   the National Institute of Environmental Health Sciences, National
   Institutes of Health and grant 1520803 from the National Science
   Foundation. The content is solely the responsibility of the authors and
   does not necessarily represent the official views of the National
   Institutes of Health or the National Science Foundation.
CR Abel DW, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002599
   Allen RW, 2012, ENVIRON HEALTH PERSP, V120, P824, DOI 10.1289/ehp.1104447
   American Housing Survey, 2013, AHS METR AR HIST
   [Anonymous], 2015, CORELOGIC PARCEL LEV
   Aten B, 2017, RENTAL EQUIVALENCE E
   Banwell C, 2012, GLOBAL HEALTH ACTION, V5, P1, DOI 10.3402/gha.v5i0.19277
   Bednar DJ, 2017, ENERG BUILDINGS, V143, P25, DOI 10.1016/j.enbuild.2017.03.028
   Bell ML, 2009, EPIDEMIOLOGY, V20, P682, DOI 10.1097/EDE.0b013e3181aba749
   Environmental Protection Agency (EPA), 2019, EJSCREEN ENV JUST SC
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Gronlund CJ, 2018, MATURITAS, V114, P54, DOI 10.1016/j.maturitas.2018.06.002
   Gronlund Carina J, 2014, Curr Epidemiol Rep, V1, P165
   Hajat Anjum, 2015, Curr Environ Health Rep, V2, P440, DOI 10.1007/s40572-015-0069-5
   Hastie T., 2009, Elements Stat. Learn., VSecond Edition, DOI DOI 10.1007/B94608
   International Energy Agency (IEA), 2018, FUT COOL PAR
   Ito K, 2018, EPIDEMIOLOGY, V29, P749, DOI 10.1097/EDE.0000000000000912
   Kloog I, 2017, INT J CLIMATOL, V37, P296, DOI 10.1002/joc.4705
   Koman PD, 2019, HEALTH PLACE, V60, DOI 10.1016/j.healthplace.2019.102228
   Madrigano J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15071433
   Mikati I, 2018, AM J PUBLIC HEALTH, V108, P480, DOI [10.2105/AJPH.2017.304297, 10.2105/ajph.2017.304297]
   National Weather Service Climate Prediction Center, 2019, DEGR DAY STAT
   Nitschke M, 2013, INT J ENV RES PUB HE, V10, P6721, DOI 10.3390/ijerph10126721
   Noe Rebecca S, 2012, Am J Public Health, V102, pe11, DOI 10.2105/AJPH.2011.300557
   Ostro B, 2010, AM J EPIDEMIOL, V172, P1053, DOI 10.1093/aje/kwq231
   Oswald EM, 2012, J APPL METEOROL CLIM, V51, P1290, DOI 10.1175/JAMC-D-11-0127.1
   Quinn A, 2017, INDOOR AIR, V27, P840, DOI 10.1111/ina.12367
   Quinn A, 2014, SCI TOTAL ENVIRON, V490, P686, DOI 10.1016/j.scitotenv.2014.05.039
   Sampson NR, 2013, GLOBAL ENVIRON CHANG, V23, P475, DOI 10.1016/j.gloenvcha.2012.12.011
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Schwartz JD, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0071-2
   Sheridan SC, 2007, INT J BIOMETEOROL, V52, P3, DOI 10.1007/s00484-006-0052-9
   Tonn B, 2018, ENERG POLICY, V118, P279, DOI 10.1016/j.enpol.2018.03.051
   U.S. Energy Information Administration (US EIA, 2018, 2015 RES EN CONS SUR
   Wang Y, 2017, EPIDEMIOLOGY, V28, P207, DOI 10.1097/EDE.0000000000000614
   White-Newsome JL, 2013, ENVIRON HEALTH PERSP, V121, P925, DOI 10.1289/ehp.1206176
   Zhang K, 2011, ENVIRON RES, V111, P1046, DOI 10.1016/j.envres.2011.08.012
NR 36
TC 16
Z9 17
U1 1
U2 23
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 1559-0631
EI 1559-064X
J9 J EXPO SCI ENV EPID
JI J. Expo. Sci. Environ. Epidemiol.
PD SEP
PY 2020
VL 30
IS 5
BP 814
EP 823
DI 10.1038/s41370-020-0220-8
EA MAR 2020
PG 10
WC Environmental Sciences; Public, Environmental & Occupational Health;
   Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Toxicology
GA NH8VY
UT WOS:000519422200001
PM 32203058
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Puettmann, KJ
   Messier, C
AF Puettmann, Klaus J.
   Messier, Christian
TI Simple Guidelines to Prepare Forests for Global Change: The Dog and the
   Frisbee
SO NORTHWEST SCIENCE
LA English
DT Article
DE resistance; resilience; adaptation; uncertainty; silviculture
   prescription
ID DOUGLAS-FIR PLANTATIONS; CLIMATE-CHANGE IMPACTS; ECOSYSTEM MANAGEMENT;
   SPECIES-DIVERSITY; ADAPTIVE CAPACITY; WESTERN OREGON; UNITED-STATES;
   NORTH-AMERICA; MIXED STANDS; RED ALDER
AB Most suggestions for adapting forest management in times of rapid global change have focused on tree regeneration, mortality, and productivity under predicted future climates. Adaptation to other aspects of global change, such as invasive species or changes in social settings, has received much less attention, which may be partially due to the high unpredictability of such events. Based on a review of recent silvicultural practices and ecological theory with a special emphasis on complex adaptive systems, we propose three guidelines for increasing the likelihood that forests will provide desired levels of a variety of ecosystem services in an increasingly variable and uncertain future. Basically, the guidelines promote a system level instead of the traditional command and control approach (sensu Holling and Meffe 1996) to silviculture. They are based on the well-supported ecological notions that having a high diversity and redundancy of key elements that are well connected across spatial, temporal, and organizational scales will allow forests to adapt on their own in response to predictable and unpredictable perturbations without the need for major management interventions. The guidelines encourage the maintenance of stand structural and compositional diversity at multiple spatial and temporal scales, thus reinforcing cross-hierarchical interactions in ecosystems. with an emphasis on encouraging self-organization. We provide examples of silvicultural practices as they relate to these guidelines.
C1 [Puettmann, Klaus J.] Oregon State Univ, Dept Ecosyst & Soc, 321 Richardson Hall, Corvallis, OR 97331 USA.
   [Messier, Christian] Univ Quebec Outaouais, Dept Sci Nat, 58 Rue Principale, Ripon, PQ J0V 1V0, Canada.
   [Messier, Christian] Univ Quebec Outaouais, Inst Sci Foret Temperee ISFORT, 58 Rue Principale, Ripon, PQ J0V 1V0, Canada.
C3 Oregon State University; University of Quebec; University Quebec
   Outaouais; University of Quebec; University Quebec Outaouais
RP Puettmann, KJ (corresponding author), Oregon State Univ, Dept Ecosyst & Soc, 321 Richardson Hall, Corvallis, OR 97331 USA.
EM Klaus.Puettmann@oregonstate.edu
OI Puettmann, Klaus/0000-0002-9736-5924
CR Amoroso MM, 2006, CAN J FOREST RES, V36, P1484, DOI 10.1139/X06-042
   [Anonymous], 2001, Self-organization in biological systems
   [Anonymous], 1993, The Origins of Order: Self-Organization and Selection in Evolution
   Ares A, 2010, FOREST ECOL MANAG, V260, P1104, DOI 10.1016/j.foreco.2010.06.023
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   BINKLEY D, 1983, FOREST ECOL MANAG, V5, P215, DOI 10.1016/0378-1127(83)90073-7
   Burns RM., 1990, Agriculture Handbook, V654
   CANHAM CD, 1994, CAN J FOREST RES, V24, P337, DOI 10.1139/x94-046
   Childs T. W., 1970, Research Papers. U.S.D.A. Forest Serv., V102
   Chmura DJ, 2011, FOREST ECOL MANAG, V261, P1121, DOI 10.1016/j.foreco.2010.12.040
   Cissel J. H., 2006, 20065087 US DEP INT
   CLINE SP, 1980, J WILDLIFE MANAGE, V44, P773, DOI 10.2307/3808305
   Conrad M., 1983, Adaptability: The Significance of Variability from Molecule to Ecosystem
   Countryman AM, 2018, SOC NATUR RESOUR, V31, P942, DOI 10.1080/08941920.2018.1447713
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Davidson J. M., 2002, Plant Disease, V86, P1274, DOI 10.1094/PDIS.2002.86.11.1274B
   DeFries R, 2017, SCIENCE, V356, P265, DOI 10.1126/science.aal1950
   Dodson EK, 2014, FOREST SCI, V60, P953, DOI 10.5849/forsci.13-011
   Dodson EK, 2012, CAN J FOREST RES, V42, P345, DOI [10.1139/x11-188, 10.1139/X11-188]
   Donato DC, 2012, J VEG SCI, V23, P576, DOI 10.1111/j.1654-1103.2011.01362.x
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Erickson HE, 2009, CAN J FOREST RES, V39, P1119, DOI 10.1139/X09-040
   Fahey RT, 2008, FOREST ECOL MANAG, V255, P2801, DOI 10.1016/j.foreco.2008.01.053
   Filip G. A., 2000, RES CONTRIBUTION, V30
   Filotas E, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00182.1
   FOGEL R, 1983, CAN J FOREST RES, V13, P219, DOI 10.1139/x83-031
   Franklin J.F., 2018, ECOLOGICAL FOREST MA
   Gayer K., 1886, Der gemischte Wald, seine Begrundung und Pflege, insbesondere durch Horstund Gruppenwirtschaft.
   Gray AN, 1997, ECOLOGY, V78, P2458, DOI 10.1890/0012-9658(1997)078[2458:MCOTSE]2.0.CO;2
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Gustafsson L, 2012, BIOSCIENCE, V62, P633, DOI 10.1525/bio.2012.62.7.6
   Hagerman S. M., 2019, FRONTIERS ECOLOGY EN, V16, P579
   HAIGHT RG, 1993, CAN J FOREST RES, V23, P1695, DOI 10.1139/x93-211
   Halaj J, 2000, OIKOS, V90, P139, DOI 10.1034/j.1600-0706.2000.900114.x
   Haldane Andreiv G, 2012, Rev.econ.inst., V14, P13
   HANSEN AJ, 1991, BIOSCIENCE, V41, P382, DOI 10.2307/1311745
   HANSEN EM, 1988, CAN J FOREST RES, V18, P942, DOI 10.1139/x88-143
   HARMON ME, 1989, ECOLOGY, V70, P48, DOI 10.2307/1938411
   Hemery GE, 2008, INT FOREST REV, V10, P591, DOI 10.1505/ifor.10.4.591
   Herms DA, 2014, ANNU REV ENTOMOL, V59, P13, DOI 10.1146/annurev-ento-011613-162051
   Himes A., CANADIAN J FOREST RE
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Hulme PE, 2009, J APPL ECOL, V46, P10, DOI 10.1111/j.1365-2664.2008.01600.x
   Ives AR, 2007, SCIENCE, V317, P58, DOI 10.1126/science.1133258
   Kattge J, 2011, GLOBAL CHANGE BIOL, V17, P2905, DOI 10.1111/j.1365-2486.2011.02451.x
   Keane R E., 2002, Rocky Mountain Futures: An Ecological Perspective, P133
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Keeton WS, 2005, ECOL MONOGR, V75, P103, DOI 10.1890/03-0626
   Kerhoulas LP, 2013, J APPL ECOL, V50, P1311, DOI 10.1111/1365-2664.12139
   Kirilenko AP, 2007, P NATL ACAD SCI USA, V104, P19697, DOI 10.1073/pnas.0701424104
   Kuehne C., 2008, Journal of Sustainable Forestry, V27, P246, DOI 10.1080/10549810802256221
   Lavorel S., 2007, TERRESTRIAL ECOSYSTE, P149, DOI [DOI 10.1007/978-3-540-32730-113, 10.1007/978-3, DOI 10.1007/978-3]
   LeBoldus JM, 2018, PLANT DIS, V102, P455, DOI 10.1094/PDIS-05-17-0681-PDN
   LEVIN SA, 1992, ECOLOGY, V73, P1943, DOI 10.2307/1941447
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Levin SA., 1999, Fragile Dominion
   Lovett GM, 2016, ECOL APPL, V26, P1437, DOI 10.1890/15-1176
   Lust N., 2000, SILVA GANDAVENSIS, V65
   Malik F., 1984, Strategie des Managements komplexer Systeme: Ein Beitrag zur Management-Kybernetic evolutionarer Systeme
   Marshall DD, 2002, US FOR SERV R P PNW
   May R, 1973, Stability and Complexity in Model Ecosystems
   Mayr E, 1982, The growth of biological thought: diversity, evolution, and inheritance
   McCann KS, 2000, NATURE, V405, P228, DOI 10.1038/35012234
   McGill BJ, 2006, TRENDS ECOL EVOL, V21, P178, DOI 10.1016/j.tree.2006.02.002
   McKeown Max., 2012, Adaptability: The Art of Winning in an Age of Uncertainty
   Messier C, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0166-2
   Messier Christian., 2013, MANAGING FORESTS COM
   Meyers LA, 2002, TRENDS ECOL EVOL, V17, P551, DOI 10.1016/S0169-5347(02)02633-2
   Muir P.S., 2002, Managing for biodiversity in young Douglas-fir forests of western Oregon
   Naaf T, 2007, FOREST ECOL MANAG, V244, P141, DOI 10.1016/j.foreco.2007.04.020
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Neill AR, 2013, CAN J FOREST RES, V43, P428, DOI 10.1139/cjfr-2012-0345
   North MP, 2015, SCIENCE, V349, P1280, DOI 10.1126/science.aab2356
   Núñez-Florez R, 2019, URBAN FOR URBAN GREE, V38, P251, DOI 10.1016/j.ufug.2019.01.005
   OHara KL, 2014, MULTIAGED SILVICULTURE: MANAGING FOR COMPLEX FOREST STAND STRUCTURES, P1
   Oliver CD., 1996, Forest Stand Dynamics, P41
   Ooi MKJ, 2006, INT J WILDLAND FIRE, V15, P261, DOI 10.1071/WF05024
   Pabst RJ, 1999, CAN J FOREST RES, V29, P1557, DOI 10.1139/cjfr-29-10-1557
   Pretzsch H., 2017, MIXED SPECIES FOREST, P211
   Priebe J. E., 2016, THESIS
   Puettmann K.J., 2009, CRITIQUE SILVICULTUR
   Puettmann KJ, 2006, WEST J APPL FOR, V21, P94, DOI 10.1093/wjaf/21.2.94
   PUETTMANN KJ, 1992, J ECOL, V80, P449, DOI 10.2307/2260690
   Puettmann KJ, 2001, OECOLOGIA, V129, P376, DOI 10.1007/s004420100741
   Puettmann KJ, 2007, EUR J FOREST RES, V126, P1, DOI 10.1007/s10342-005-0089-z
   Puettmann KJ, 2016, FORESTS, V7, DOI 10.3390/f7120310
   Puettmann KJ, 2014, J SUSTAIN FOREST, V33, pS15, DOI 10.1080/10549811.2014.884000
   Puettmann KJ, 2014, FORESTRY, V87, P1, DOI 10.1093/forestry/cpt050
   Puettmann KJ, 2011, J FOREST, V109, P321
   Radosevich SR, 2006, CAN J FOREST RES, V36, P768, DOI 10.1139/X05-280
   Rammel C, 2007, ECOL ECON, V63, P9, DOI 10.1016/j.ecolecon.2006.12.014
   Ramo J.C., 2009, The age of the unthinkable
   Rose R, 2006, CAN J FOREST RES, V36, P2464, DOI 10.1139/X06-126
   Rosenvald R, 2008, FOREST ECOL MANAG, V255, P1, DOI 10.1016/j.foreco.2007.09.016
   SEDJO RA, 1999, PLANTED FORESTS CONT, V17, P339
   Shatford JPA, 2007, J FOREST, V105, P139
   Simard SW, 2009, FOREST ECOL MANAG, V258, pS95, DOI 10.1016/j.foreco.2009.05.001
   Sole R.V., 2005, Self-Organization in Complex Ecosystems (MPB-42), V58
   Soranno PA, 2014, FRONT ECOL ENVIRON, V12, P65, DOI 10.1890/120366
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Stephens SL, 2005, ECOL APPL, V15, P532, DOI 10.1890/04-0545
   Stokely TD, 2018, ECOL APPL, V28, P2011, DOI 10.1002/eap.1777
   Swanson ME, 2011, FRONT ECOL ENVIRON, V9, P117, DOI 10.1890/090157
   Teste FP, 2008, OECOLOGIA, V158, P193, DOI 10.1007/s00442-008-1136-5
   Vilà-Cabrera A, 2018, FOREST ECOL MANAG, V407, P16, DOI 10.1016/j.foreco.2017.10.021
   Waldrop M. M., 1992, Complexity: The Emerging Science at the Edge of Order and Chaos.
   WALLIN DO, 1994, ECOL APPL, V4, P569, DOI 10.2307/1941958
   Warziniack TW, 2013, RESOUR ENERGY ECON, V35, P277, DOI 10.1016/j.reseneeco.2013.02.002
   WIERMAN CA, 1979, CAN J FOREST RES, V9, P1, DOI 10.1139/x79-001
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   WILSON E O, 1992
   Yachi S, 1999, P NATL ACAD SCI USA, V96, P1463, DOI 10.1073/pnas.96.4.1463
   Yelenik S, 2013, ECOLOGY, V94, P739, DOI 10.1890/12-0278.1
NR 114
TC 15
Z9 17
U1 0
U2 21
PU NORTHWEST SCIENTIFIC ASSOC
PI SEATTLE
PA JEFFREY DUDA, USGS, WESTERN FISHERIES RES CTR, 6505 NE 65 ST, SEATTLE,
   WA 98115 USA
SN 0029-344X
EI 2161-9859
J9 NORTHWEST SCI
JI Northwest Sci.
PD SUM-FAL
PY 2019
VL 93
IS 3-4
BP 209
EP 225
DI 10.3955/046.093.0305
PG 17
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA KH1DO
UT WOS:000510387300005
DA 2025-01-10
ER

PT J
AU Xenarios, S
   Kakumanu, KR
   Nagothu, US
   Kotapati, GR
AF Xenarios, Stefanos
   Kakumanu, Krishna Reddy
   Nagothu, Udaya Sekhar
   Kotapati, Gurava Reddy
TI Gender differentiated impacts from weather extremes: Insight from rural
   communities in South India
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Droughts; Gender; Climate variability; Attribute agreement analysis,
   South India
ID CLIMATE-CHANGE; EDUCATION
AB Several studies focus on the effects of climate variability on female and male gender relations as perceived through various biophysical and socio-economic aspects. More emphasis is given on the impacts of extreme weather events on rural communities of less developed regions. The results are often interpreted in a qualitative manner through policy measures that may reduce gender inequalities. However, the interpretation of the qualitative results to more crisp and measurable outputs is often not attained while the validation of the findings is rarely ensured. The current study suggests a gender-differentiated impact framework based on qualitative and quantitative components for the assessment of climate variability effects on rural communities in South India. Fifteen villages mostly practicing rice farming in Andhra Pradesh and Telangana states were selected as representative drought-prone case studies. The study results advocate that the qualitative outcomes were validated from the quantitative approach but for a few cases which could be attributed to methodological and case-specific differentiations. Policy recommendations are made on common gender trainings in water-resistant crops and livestock activities for the alleviation of drought impact and abatement of gender inequalities. Also, entrepreneurship workshops for women could enhance gender balance and diverse family income from the current sole dependence on farming revenues. Regional climate adaptation programs could be better implemented when the specific features and capacities of local communities are taken into consideration.
C1 [Xenarios, Stefanos] Univ Cent Asia, MSRI, Bishkek, Kyrgyzstan.
   [Xenarios, Stefanos; Nagothu, Udaya Sekhar] Norwegian Inst Bioecon Res NIBIO, As, Norway.
   [Nagothu, Udaya Sekhar] IWMI, Hyderabad Off, ICRISAT Campus, Patancheru, Telangana, India.
   [Kotapati, Gurava Reddy] ANGRAU, Guntur, Andhra Pradesh, India.
C3 University of Central Asia; Norwegian Institute of Bioeconomy Research;
   CGIAR; International Water Management Institute (IWMI); International
   Crops Research Institute for the Semi-Arid-Tropics (ICRISAT); Acharya N.
   G. Ranga Agricultural University
RP Kakumanu, KR (corresponding author), IWMI, New Delhi, India.
EM stefanos.xenarios@ucentralasia.org; K.Krishnareddy@cgiar.org
RI Gurava Reddy, Kotapati/JXL-4304-2024; Xenarios, Stefanos/I-4267-2019
OI Gurava reddy, Kotapati/0000-0002-0322-8604; Kakumanu, Krishna
   Reddy/0000-0002-8177-1610
CR Abeysingha NS, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2905-y
   Ahmed S., 2009, Gender and Development, V17, P33, DOI 10.1080/13552070802696896
   Alkire S., 2012, 1240 IFPRI
   Annamalai H, 2013, J CLIMATE, V26, P2701, DOI 10.1175/JCLI-D-12-00208.1
   [Anonymous], 2013, TRAIN GUID GEND CLIM
   [Anonymous], HOUSEHOLD COPING SUR
   [Anonymous], ATTRIBUTE AGREEMENT
   [Anonymous], ONL INF SERV PROV FR
   [Anonymous], ED GENDER GAP INEQUA
   [Anonymous], DIS MAN DEP
   [Anonymous], 2011, GEND CLIM CHANG HLTH
   [Anonymous], 2013, AM J RURAL DEV
   [Anonymous], NAT SCHEM PROGR
   [Anonymous], STRAT CHILD ED STAT
   [Anonymous], 2013, 1 POST
   [Anonymous], GEND CLIM CHANG FIN
   [Anonymous], WALL STREET J
   [Anonymous], CLIMATE CHANGE GENDE
   [Anonymous], WP 3 2 FOCUS GROUP M
   [Anonymous], J GEND STUD
   [Anonymous], PILOT SITES ANDHRA P
   [Anonymous], GEND EQ DAT STAT
   [Anonymous], GEND I DEV
   [Anonymous], SOC NAT RESOUR INT J
   [Anonymous], GREEN JOBS IMPR CLIM
   [Anonymous], TRAIN MAN GEND CLIM
   [Anonymous], HINDU
   [Anonymous], ARCH SUICIDE RES
   [Anonymous], S INDIA ROUTLEDGE HD
   [Anonymous], DOES GEND MAK DIFF D
   [Anonymous], 2010, GEND DIM AGR RUR EMP
   [Anonymous], SIT AN
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Chaudhri DP, 2013, INT REV APPL ECON, V27, P23, DOI 10.1080/02692171.2012.696592
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   Gentle P, 2014, NAT HAZARDS, V74, P815, DOI 10.1007/s11069-014-1218-0
   Girard AM, 2015, J GENDER STUD, V24, P528, DOI 10.1080/09589236.2013.856753
   Goh A. H. X., 2012, CAPRI WORKING PAPER, DOI 10.1002/9780470996249
   Hijioka Y, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1327
   Jeganathan A, 2013, THEOR APPL CLIMATOL, V114, P705, DOI 10.1007/s00704-013-0871-7
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kabeer Naila., 2005, Gender Development, V13, P13, DOI DOI 10.1080/13552070512331332273
   Kumar KR, 2006, CURR SCI INDIA, V90, P334
   Kunreuther H, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P151
   Lambrou Y., 2010, FARMERS CHANGING CLI
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Merriott D, 2016, J EPIDEMIOL GLOB HEA, V6, P217, DOI 10.1016/j.jegh.2016.03.003
   Morgan D.L., 1988, FOCUS GROUP QUALITAT
   Palanisami K, 2014, CLIMATE CHANGE AND AGRICULTURE IN INDIA: STUDIES FROM SELECTED RIVER BASINS, P1
   Rudy RM, 2010, SEX ROLES, V62, P705, DOI 10.1007/s11199-010-9807-1
   Saha A, 2013, OXF DEV STUD, V41, P220, DOI 10.1080/13600818.2013.786694
   Sugden F, 2014, GLOBAL ENVIRON CHANG, V29, P258, DOI 10.1016/j.gloenvcha.2014.10.008
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Taylor M, 2013, CLIM DEV, V5, P318, DOI 10.1080/17565529.2013.830954
   Tesoriero F., 2006, Community Development Journal, V41, P321, DOI 10.1093/cdj/bsi066
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   White SC, 2012, DEV PRACT, V22, P651, DOI 10.1080/09614524.2012.685872
NR 57
TC 13
Z9 14
U1 0
U2 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-4645
EI 2211-4653
J9 ENVIRON DEV
JI Environ. Dev.
PD DEC
PY 2017
VL 24
BP 156
EP 169
DI 10.1016/j.envdev.2017.05.002
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FP2CP
UT WOS:000417423300014
DA 2025-01-10
ER

PT J
AU White-Newsome, JL
   McCormick, S
   Sampson, N
   Buxton, MA
   O'Neill, MS
   Gronlund, CJ
   Catalano, L
   Conlon, KC
   Parker, EA
AF White-Newsome, Jalonne L.
   McCormick, Sabrina
   Sampson, Natalie
   Buxton, Miatta A.
   O'Neill, Marie S.
   Gronlund, Carina J.
   Catalano, Linda
   Conlon, Kathryn C.
   Parker, Edith A.
TI Strategies to Reduce the Harmful Effects of Extreme Heat Events: A
   Four-City Study
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE extreme heat events; climate change; urban areas; vulnerable
   populations; health risks; heat-related health interventions
ID CLIMATE-CHANGE; ADAPTATION; ASSOCIATIONS; TEMPERATURE; DISEASES
AB Extreme heat events (EHEs) are becoming more intense, more frequent and longer lasting in the 21st century. These events can disproportionately impact the health of low-income, minority, and urban populations. To better understand heat-related intervention strategies used by four U.S. cities, we conducted 73 semi-structured interviews with government and non-governmental organization leaders representing public health, general social services, emergency management, meteorology, and the environmental planning sectors in Detroit, MI; New York City, NY; Philadelphia, PA and Phoenix, AZ-cities selected for their diverse demographics, climates, and climate adaptation strategies. We identified activities these leaders used to reduce the harmful effects of heat for residents in their city, as well as the obstacles they faced and the approaches they used to evaluate these efforts. Local leaders provided a description of how local context (e. g., climate, governance and city structure) impacted heat preparedness. Despite the differences among study cities, political will and resource access were critical to driving heat-health related programming. Upon completion of our interviews, we convened leaders in each city to discuss these findings and their ongoing efforts through day-long workshops. Our findings and the recommendations that emerged from these workshops could inform other local or national efforts towards preventing heat-related morbidity and mortality.
C1 [White-Newsome, Jalonne L.] WE ACT Environm Justice, Washington, DC 20001 USA.
   [McCormick, Sabrina] George Washington Univ, Sch Publ Hlth & Hlth Serv, Washington, DC 20037 USA.
   [Sampson, Natalie] Univ Michigan, Sch Publ Hlth, Dept Hlth Behav Hlth Educ, Ann Arbor, MI 48109 USA.
   [Buxton, Miatta A.; O'Neill, Marie S.; Gronlund, Carina J.] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.
   [Catalano, Linda] CUNY Queens Coll, Dept Sociol, Flushing, NY 11367 USA.
   [Conlon, Kathryn C.] Natl Ctr Atmospher Res, Boulder, CO 80307 USA.
   [Parker, Edith A.] Univ Iowa, Coll Publ Hlth, Dept Community & Behav Hlth, Iowa City, IA 52242 USA.
C3 George Washington University; University of Michigan System; University
   of Michigan; University of Michigan System; University of Michigan; City
   University of New York (CUNY) System; Queens College NY (CUNY); National
   Center Atmospheric Research (NCAR) - USA; University of Iowa
RP White-Newsome, JL (corresponding author), WE ACT Environm Justice, 50 F St,NW,Ste 800, Washington, DC 20001 USA.
EM jalonne@weact.org; sabmc@gwu.edu; nsampson@umich.edu;
   mabuxton@umich.edu; marieo@umich.edu; gronlund@umich.edu;
   lrc10@earthlink.net; kconlon@ucar.edu; edith-parker@uiowa.edu
RI Gronlund, Carina/A-9253-2018
OI Gronlund, Carina/0000-0002-0533-745X
FU U.S. Centers for Disease Control and Prevention [R-18-EH000348]; Graham
   Environmental Sustainability Institute at the University of Michigan
   from the U.S. National Institute for Environmental Health Sciences,
   National Institutes of Health [R01 ES016932]; National Occupational
   Research Agenda (NORA) Pre-Doctoral Scholarship from the University of
   Michigan Center for Occupational Health and Safety Engineering, a
   National Institute for Occupational Safety and Health (NIOSH) under
   NIOSH [2T42OH008455]; National Institute on Aging Interdisciplinary
   Research Training in Health and Aging [T32AG027708]; Rackham Merit
   Fellowship from the University of Michigan; Union of Concerned
   Scientists, Kendall Post-Doctoral Fellowship in Climate Change and
   Public Health; National Institute for Occupational Safety and Health
   [T42OH008455] Funding Source: NIH RePORTER; National Institute of
   Environmental Health Sciences [P30ES017885] Funding Source: NIH
   RePORTER; National Institute on Aging [T32AG027708] Funding Source: NIH
   RePORTER
FX This project was supported by the U.S. Centers for Disease Control and
   Prevention Grant R-18-EH000348, the Graham Environmental Sustainability
   Institute at the University of Michigan, Grant R01 ES016932 from the
   U.S. National Institute for Environmental Health Sciences, National
   Institutes of Health. During this work, Jalonne L. White-Newsome, Carina
   Gronlund, and Kathryn Conlon were supported by a National Occupational
   Research Agenda (NORA) Pre-Doctoral Scholarship from the University of
   Michigan Center for Occupational Health and Safety Engineering, a
   National Institute for Occupational Safety and Health (NIOSH)-funded
   Education and Research Center grant, under NIOSH grant number
   2T42OH008455. Carina Gronlund was supported by the National Institute on
   Aging Interdisciplinary Research Training in Health and Aging grant
   T32AG027708. Jalonne L. White-Newsome and Natalie Sampson were supported
   by a Rackham Merit Fellowship from the University of Michigan. Jalonne
   L. White-Newsome was also supported by the Union of Concerned
   Scientists, Kendall Post-Doctoral Fellowship in Climate Change and
   Public Health.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Altman P., 2012, Killer Summer Heat : Projected Death Toll from Rising Temperatures in America Due to Climate Change
   Anderson GB, 2013, AM J RESP CRIT CARE, V187, P1098, DOI 10.1164/rccm.201211-1969OC
   Bouchama A, 2002, NEW ENGL J MED, V346, P1978, DOI 10.1056/NEJMra011089
   D'Amato G, 2013, MULTIDISCIP RESP MED, V8, DOI 10.1186/2049-6958-8-12
   Ebi K, 2003, EPIDEMIOLOGY, V14, pS35, DOI 10.1097/00001648-200309001-00064
   Fletcher BA, 2012, AM J EPIDEMIOL, V175, P907, DOI 10.1093/aje/kwr417
   Gosling SN, 2009, CLIMATIC CHANGE, V92, P299, DOI [10.1007/s10584-008-9441-x, 10.1007/S10584-008-9441-X]
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   Houghton A, 2012, APPL GEOGR, V33, P36, DOI 10.1016/j.apgeog.2011.07.014
   Lim B., 2005, Adaptation policy frameworks for climate change: Developing strategies, policies and measures
   National Climatic Data Center (NCDC), 2011, HOURL HEAT IND 1981
   O'Neill MS, 2010, INT J PUBLIC HEALTH, V55, P105, DOI 10.1007/s00038-009-0071-5
   O'Neill MS, 2005, INT J BIOMETEOROL, V50, P121, DOI 10.1007/s00484-005-0269-z
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Stonehill RB., 1972, J Am Coll Emerg Physicians, V1, P21
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Takaro TK, 2013, EXPERT REV RESP MED, V7, P349, DOI 10.1586/17476348.2013.814367
   Zhang K, 2012, ENVIRON INT, V46, P23, DOI 10.1016/j.envint.2012.05.001
NR 20
TC 37
Z9 43
U1 3
U2 41
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 FEB
PY 2014
VL 11
IS 2
BP 1960
EP 1988
DI 10.3390/ijerph110201960
PG 29
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA AF0WZ
UT WOS:000334436600047
PM 24531122
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Sémah, F
AF Semah, Francois
TI Climates, landscapes and first islanders: The heritage of humankind
   history in insular south-east Asia
SO ANTHROPOLOGIE
LA French
DT Article
DE South-east insular Asia; Homo genus; Climates; Lansdcapes; Cultural and
   natural heritage
ID HOMO-ERECTUS; JAVA; PLEISTOCENE; FAUNA; AGE; SETTLEMENT; INDONESIA;
   HOMINIDS; LOCALITY; SAPIENS
AB Human earliest dispersals in the Southeast Asian archipelagos occurred quite quickly after the arrival of the Homo genus in Eurasia, some 2 million years ago. It represents a sound and early example of human adaptation to climatic and environmental changes, which deeply impacted the regional geography. Homo erectus lived in those archipelagos for nearly one and a half million years. Humans followed ecological corridors as other faunal groups did, but they also built their territories in the newly colonized environments. Following sea-level drops, expansion and fragmentation of the tropical forests, they could reach islands beyond the Wallace's Line. Resulting H. erectus endemic lineages could mix with other groups originating from the mainland, before the taxon became extinct, most probably during the Late Pleistocene, a period during which it could have co-existed with the earliest H. sapiens in the archipelagos. This history, during which we witness the recurrent influence of parameters related to climate, geography, landscapes, evolution, adaptation, resilience and also cultural adaptation and relationships between humans and nature, relates major chapters of human evolution: it is a good example of the indivisibility of natural and cultural aspects of the heritage. (C) 2017 Elsevier Masson SAS. All rights reserved.
C1 [Semah, Francois] Sorbonne Univ, Museum Natl Hist Nat, UMR 7194, Hist Nat Homme Prehist, 1 Rue Rene Panhard, F-75013 Paris, France.
C3 Museum National d'Histoire Naturelle (MNHN); Sorbonne Universite; Centre
   National de la Recherche Scientifique (CNRS); CNRS - Institute of
   Ecology & Environment (INEE)
RP Sémah, F (corresponding author), Sorbonne Univ, Museum Natl Hist Nat, UMR 7194, Hist Nat Homme Prehist, 1 Rue Rene Panhard, F-75013 Paris, France.
EM francois.semah@mnhn.fr
CR [Anonymous], CAHIERS PALEOANTHROP
   [Anonymous], VOORLOOPIGE MEDEDEEL
   [Anonymous], NATURE
   [Anonymous], 2001, SANGIRAN MAN CULTURE
   [Anonymous], SANGIRAN MAN CULTURE
   [Anonymous], EMERGENCE DIVERSITY
   [Anonymous], 1984, COUR FORSCH I SENCKE
   [Anonymous], DIENST MIJNBOUW NEDE
   [Anonymous], WORLD HERIT
   [Anonymous], COMPTES RENDUS PALEV
   BANDET Y, 1989, CR ACAD SCI II, V308, P867
   Bellwood P., 1998, MOD QUAT RE, P233
   Bellwood P., 2007, PREHISTORY INDO MALA
   Brumm A, 2010, NATURE, V464, P748, DOI 10.1038/nature08844
   De Chardin PT, 1937, ANTHROPOLOGIE, V47, P23
   de Lumley MA, 2006, CR PALEVOL, V5, P273, DOI 10.1016/j.crpv.2005.11.013
   DEVOS J, 1982, GEOL MIJNBOUW, V61, P207
   Dubois E., 1894, MENSCHENAEHNLICHE UE
   Fauzi MR, 2016, QUATERN INT, V416, P183, DOI 10.1016/j.quaint.2015.12.091
   Grimaud-Hervé D, 2016, QUATERN INT, V416, P193, DOI 10.1016/j.quaint.2015.10.003
   MAYR E, 1950, COLD SPRING HARB SYM, V15, P109, DOI 10.1101/SQB.1950.015.01.013
   Morwood MJ, 2004, NATURE, V431, P1087, DOI 10.1038/nature02956
   O'Connell JF, 2004, J ARCHAEOL SCI, V31, P835, DOI 10.1016/j.jas.2003.11.005
   O'Connor S, 2011, SCIENCE, V334, P1117, DOI 10.1126/science.1207703
   SARTONO S, 1983, ANTHROPOLOGIE, V87, P465
   Sémah AM, 2010, QUATERN INT, V223, P451, DOI 10.1016/j.quaint.2009.07.017
   SEMAH F, 1986, ANTHROPOLOGIE, V90, P359
   Sémah F, 2000, J ARCHAEOL SCI, V27, P763, DOI 10.1006/jasc.1999.0482
   SEMAH F, 1992, J HUM EVOL, V23, P439, DOI 10.1016/0047-2484(92)90092-N
   Semah F., 2004, MODERN QUATERNARY RE, V18, P45
   Storm P, 2005, J HUM EVOL, V49, P536, DOI 10.1016/j.jhevol.2005.06.003
   Swisher CC, 1996, SCIENCE, V274, P1870, DOI 10.1126/science.274.5294.1870
   SWISHER CC, 1994, SCIENCE, V263, P1118, DOI 10.1126/science.8108729
   van Bemmelen R.W., 1949, The geology of Indonesia and adjacent archipelago
   Wallace A., 1869, A narrative of travel, with studies of man and nature
   Weidenreich F., 1935, Bull Geol Soc Peiping, V14, P427
   Yokoyama Y, 2008, J HUM EVOL, V55, P274, DOI 10.1016/j.jhevol.2008.01.006
NR 37
TC 0
Z9 0
U1 0
U2 25
PU ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
PI ISSY-LES-MOULINEAUX
PA 65 RUE CAMILLE DESMOULINS, CS50083, 92442 ISSY-LES-MOULINEAUX, FRANCE
SN 0003-5521
EI 1873-5827
J9 ANTHROPOLOGIE
JI Anthropologie
PD MAY
PY 2017
VL 121
IS 1-2
BP 163
EP 172
DI 10.1016/j.anthro.2017.03.020
PG 10
WC Anthropology
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Anthropology
GA EY0CA
UT WOS:000403624600017
DA 2025-01-10
ER

PT C
AU Baccon, ALP
   Lunardi, JT
AF Baccon, Ana L. P.
   Lunardi, Jose T.
BE Vagenas, EC
   Vlachos, DS
TI Testing the shape of distributions of weather data
SO 5TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL
   SCIENCES (IC-MSQUARE 2016)
SE Journal of Physics Conference Series
LA English
DT Proceedings Paper
CT 5th International Conference on Mathematical Modeling in Physical
   Sciences (IC-MSquare)
CY MAY 23-26, 2016
CL Athens, GREECE
ID DAILY PRECIPITATION; TEMPERATURE; GENERATORS; SIMULATION; EVENTS
AB The characterization of the statistical distributions of observed weather data is of crucial importance both for the construction and for the validation of weather models, such as weather generators (WGs). An important class of WGs (e.g., the Richardson-type generators) reduce the time series of each variable to a time series of its residual elements, and the residuals are often assumed to be normally distributed. In this work we propose an approach to investigate if the shape assumed for the distribution of residuals is consistent or not with the observed data of a given site. Specifically, this procedure tests if the same distribution shape for the residuals noise is maintained along the time. The proposed approach is an adaptation to climate time series of a procedure first introduced to test the shapes of distributions of growth rates of business firms aggregated in large panels of short time series. We illustrate the procedure by applying it to the residuals time series of maximum temperature in a given location, and investigate the empirical consistency of two assumptions, namely i) the most common assumption that the distribution of the residuals is Gaussian and ii) that the residuals noise has a time invariant shape which coincides with the empirical distribution of all the residuals noise of the whole time series pooled together
C1 [Baccon, Ana L. P.; Lunardi, Jose T.] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, Parana, Brazil.
   [Lunardi, Jose T.] Univ Glasgow, Sch Phys & Astron, Glasgow, Lanark, Scotland.
C3 Universidade Estadual de Ponta Grossa; University of Glasgow
RP Lunardi, JT (corresponding author), Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, Parana, Brazil.
EM jttlunardi@uepg.br
RI Lunardi, Jose/A-6023-2010
OI Lunardi, Jose/0000-0001-7058-9592
FU CNPq/Brazil [PDE 233512/2014-4]
FX JTL thanks CNPq/Brazil for partial financial support (Grant PDE
   233512/2014-4).
CR Bottazzi G, 2011, IND CORP CHANGE, V20, P991, DOI 10.1093/icc/dtr036
   Chen J, 2014, INT J CLIMATOL, V34, P3089, DOI 10.1002/joc.3896
   Fodor N, 2013, SCI WORLD J, DOI 10.1155/2013/571367
   Fodor N, 2010, METEOROL ATMOS PHYS, V107, P91, DOI 10.1007/s00703-010-0074-z
   Harmel RD, 2002, J APPL METEOROL, V41, P744, DOI 10.1175/1520-0450(2002)041<0744:ETAOSM>2.0.CO;2
   Iizumi T, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017197
   Kilsby CG, 2007, ENVIRON MODELL SOFTW, V22, P1705, DOI 10.1016/j.envsoft.2007.02.005
   Krone T, 2015, QUALITY QUANTITY, V1
   Lunardi JT, 2014, J ECON DYN CONTROL, V39, P140, DOI 10.1016/j.jedc.2013.11.010
   MEARNS LO, 1984, J CLIM APPL METEOROL, V23, P1601, DOI 10.1175/1520-0450(1984)023<1601:EHTECI>2.0.CO;2
   RICHARDSON CW, 1981, WATER RESOUR RES, V17, P182, DOI 10.1029/WR017i001p00182
   Semenov MA, 1998, CLIMATE RES, V10, P95, DOI 10.3354/cr010095
   Semenov MA, 2008, CLIM RES, V35, P203, DOI 10.3354/cr00731
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
NR 14
TC 0
Z9 0
U1 0
U2 2
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1742-6588
EI 1742-6596
J9 J PHYS CONF SER
PY 2016
VL 738
AR 012078
DI 10.1088/1742-6596/738/1/012078
PG 7
WC Mathematics, Applied; Physics, Mathematical
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Mathematics; Physics
GA BH8KX
UT WOS:000403403900078
OA gold
DA 2025-01-10
ER

PT J
AU Orlandi, F
   Bonofiglio, T
   Ruga, L
   Romano, B
   Aguilera, F
   Fornaciari, M
AF Orlandi, F.
   Bonofiglio, T.
   Ruga, L.
   Romano, B.
   Aguilera, F.
   Fornaciari, M.
TI A FOURTEEN-YEAR MONITORING IN A PHENOLOGICAL GARDEN, STUDY OF PLANT
   SPECIES, CLIMATE TRENDS AND THEIR RELATIONSHIPS IN CENTRAL ITALY
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
LA English
DT Article
DE central Italy; climatic trend; phenological garden; phenology
ID NORTH-ATLANTIC OSCILLATION; MEDITERRANEAN AREAS; POLLEN SEASON; OLIVE;
   GERMANY; TEMPERATE; GROWTH; CROPS
AB The plant adaptation to climate trends appears as a main research field in the recent past. In the Mediterranean environment a 14-year (1997-2010) phenological study was realized inside a phenological garden to investigate the climate/plant relationships. The average phenological data thus obtained provide a mean model of development for the different species in relation to the 14-year period of observation (1997-2010). Meteorological recordings showed June and July as the months with the highest temperature increases during the central period of the study period. The phenological data showed a double-trend behaviour during the historical series considering the first two growth phases (V3, V5) that was not seen for the later phases (V7, V8). Moreover, different leaf presence periods on the tree were calculated for some of the plant species, and commonly the clearest trends were seen for V3 to V7 with a decreasing period length from 1997 to 2002-2003 and a successive quite constant behaviour. The lowest correlations between annual vegetative phases and temperature variations were manifested above all by two species (Sambucus nigra L. and Robinia pseudoacacia L.) for which the first leaf development phases appeared probably influenced by photoperiod.
C1 [Orlandi, F.; Bonofiglio, T.; Ruga, L.; Romano, B.; Aguilera, F.; Fornaciari, M.] Univ Perugia, Dept Civil & Environm Engn, I-06121 Perugia, Italy.
C3 University of Perugia
RP Orlandi, F (corresponding author), Univ Perugia, Dept Civil & Environm Engn, Borgo XX Giugno 74, I-06121 Perugia, Italy.
EM fabio.orlandi@unipg.it
RI Bonofiglio, Tommaso/L-9690-2015; Orlandi, Fabio/F-6017-2012; FORNACIARI
   DA PASSANO, Marco/L-9354-2015; Aguilera, Fatima/M-4130-2015
OI Bonofiglio, Tommaso/0000-0002-5431-9231; Orlandi,
   Fabio/0000-0003-4021-8664; FORNACIARI DA PASSANO,
   Marco/0000-0002-1289-7295; Aguilera, Fatima/0000-0002-1997-2809
CR [Anonymous], 1983, U CALIFORNIA DIVISIO
   Avolio E, 2008, INT J BIOMETEOROL, V52, P787, DOI 10.1007/s00484-008-0172-5
   Beaubien EG, 2000, INT J BIOMETEOROL, V44, P53, DOI 10.1007/s004840000050
   Bonofiglio T, 2009, AEROBIOLOGIA, V25, P227, DOI 10.1007/s10453-009-9128-4
   Chen XQ, 2005, GLOBAL CHANGE BIOL, V11, P1118, DOI 10.1111/j.1365-2486.2005.00974.x
   Chmielewski FM, 2004, AGR FOREST METEOROL, V121, P69, DOI 10.1016/S0168-1923(03)00161-8
   Chmielewski FM, 2001, AGR FOREST METEOROL, V108, P101, DOI 10.1016/S0168-1923(01)00233-7
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Cook BI, 2005, GLOBAL CHANGE BIOL, V11, P919, DOI 10.1111/j.1365-2486.2005.00960.x
   Estrella N, 2007, GLOBAL CHANGE BIOL, V13, P1737, DOI 10.1111/j.1365-2486.2007.01374.x
   Estrella N, 2006, INT J BIOMETEOROL, V51, P49, DOI 10.1007/s00484-006-0038-7
   Farooq M, 2009, SUSTAINABLE AGRICULTURE, P153, DOI 10.1051/agro:2008021
   Fornaciari M, 2000, GRANA, V39, P246, DOI 10.1080/00173130052017280
   Fornaciari M, 1998, GRANA, V37, P110, DOI 10.1080/00173139809362652
   Jaleel CA, 2009, INT J AGRIC BIOL, V11, P100
   KHUDAIRI AK, 1954, PLANT PHYSIOL, V29, P251, DOI 10.1104/pp.29.3.251
   KRAMER K, 1994, J APPL ECOL, V31, P172, DOI 10.2307/2404609
   Kramer K, 2000, INT J BIOMETEOROL, V44, P67, DOI 10.1007/s004840000066
   Menzel A, 2005, GLOBAL CHANGE BIOL, V11, P909, DOI 10.1111/j.1365-2486.2005.00954.x
   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
   Mutke S, 2003, ANN FOREST SCI, V60, P527, DOI 10.1051/forest:2003046
   OLMSTED CE, 1951, BOT GAZ, V112, P365, DOI 10.1086/335673
   Orlandi F, 2005, THEOR APPL CLIMATOL, V81, P169, DOI 10.1007/s00704-004-0120-1
   Orlandi F, 2005, HORTSCIENCE, V40, P64, DOI 10.21273/HORTSCI.40.1.64
   Orlandi F, 2013, CLIMATIC CHANGE, V116, P263, DOI 10.1007/s10584-012-0474-9
   Orlandi F, 2007, ANN FOREST SCI, V64, P557, DOI 10.1051/forest:2007033
   Orlandi F, 2009, THEOR APPL CLIMATOL, V97, P339, DOI 10.1007/s00704-008-0079-4
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Withrow R.B., 1959, PHOTOPERIODISM RELAT, P908
   Zhao TT, 2003, CLIMATE RES, V24, P59, DOI 10.3354/cr024059
NR 31
TC 0
Z9 0
U1 0
U2 4
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 2014
VL 12
IS 1
BP 49
EP 61
DI 10.15666/aeer/1201_049061
PG 13
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AP4KX
UT WOS:000342046700005
OA Bronze
DA 2025-01-10
ER

PT J
AU McEvoy, D
   Matczak, P
   Banaszak, I
   Chorynski, A
AF McEvoy, Darryn
   Matczak, Piotr
   Banaszak, Ilona
   Chorynski, Adam
TI Framing adaptation to climate-related extreme events
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Weather extremes; Climate variability; Climate change
ID FLOOD RISK-MANAGEMENT; HUMAN DIMENSIONS; RIVER-BASIN; VULNERABILITY;
   RESILIENCE
AB Whilst mitigation has dominated policy and research agendas in recent years there is an increasing recognition that communities also need to be preparing for change that is unavoidable, partially a consequence of anthropogenic greenhouse gases already emitted to the atmosphere. The perceived need for adaptation has also received additional impetus through the high public profile now given to the impacts of current day weather variability, particularly the significant economic and social costs associated with recent extreme events. However, being a relatively new focus for both research and policy communities; practical evidence of the extent, feasibility, efficiency, and cost effectiveness of potential adaptation options remains largely lacking. In response, this paper seeks to make a contribution to this embryonic but evolving knowledge base by considering the theoretical underpinnings of adaptation and ultimately how this translates into practice 'in the real world'. The analytical commentary, based on a bottom-up approach involving iterative engagement with key stakeholders and experts, reflects on the identification of measures that are either innovative or examples of good practice in reducing or transferring climate risks, as well as considering those 'enabling' institutional structures and processes that act to support implementation on the ground. The paper concludes by synthesising the key findings to date in order to highlight some of the opportunities for, and barriers to, adaptation activity.
C1 [McEvoy, Darryn] RMIT Univ, Global Cities Res Inst, Melbourne, Vic, Australia.
   [Matczak, Piotr; Banaszak, Ilona; Chorynski, Adam] Polish Acad Sci, Inst Agr & Forest Environm, Poznan, Poland.
   [Banaszak, Ilona] Slovak Acad Sci, Inst Forecasting, Bratislava, Slovakia.
C3 Royal Melbourne Institute of Technology (RMIT); Polish Academy of
   Sciences; Slovak Academy of Sciences
RP McEvoy, D (corresponding author), RMIT Univ, Global Cities Res Inst, Melbourne, Vic, Australia.
EM darryn.mcevoy@rmit.edu.au
RI Matczak, Piotr/N-2059-2019; McEvoy, Darryn/K-8015-2017; Chorynski,
   Adam/O-1165-2017
OI McEvoy, Darryn/0000-0003-4144-4137; Matczak, Piotr/0000-0002-8638-0141;
   Chorynski, Adam/0000-0002-8989-0761; Otto, Ilona M./0000-0003-4935-7660
FU Division Of Behavioral and Cognitive Sci; Direct For Social, Behav &
   Economic Scie [0937777] Funding Source: National Science Foundation
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   ADGER WN, 2004, 7 TVND CTR CLIM CHAN
   [Anonymous], AD CLIM CHANG CAN IN
   [Anonymous], LEARN LESS 2007 FLOO
   [Anonymous], 2007, EEA Tech. Report no. 2/2007
   [Anonymous], FIN RISKS CLIM RISK
   [Anonymous], 11 BENF HAZ RES CTR
   [Anonymous], 2005, LINKING ADAPTATION R
   [Anonymous], 2007, RED SOC EC IMP CLIM
   [Anonymous], EFF CLIM CHANG STORM
   Ashley Richard., 2007, Built Environment, V33/2007, P70
   *ASS BRIT INS, 2007, RESP CONS EU GREEN P
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   BIERBAUM RM, 2007, REPOR PREPARED UN CO
   BOUWER LM, 2007, AMST C HUM DIM GLOB
   Brooks N., 2003, Tyndall Centre for Climate Change Research, DOI DOI 10.1086/379713
   CRICHTON D, 2007, BIBA C LOND
   European Environment Agency (EEA), 2005, EEA TECH REP
   EVANS E, 2004, SCI SUMMARY, V2
   Haberl H, 2006, ECOL SOC, V11
   JAEGER CC, 1998, ENVIRON MODEL ASSESS, V3, P211
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   KALLIS G, 2008, ANN REV ENV RESOUR, V33
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   MATCZAK P, 2008, KLIMA 21 FUZETEK, V55, P87
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   MCEVOY D, 2008, ROLE I CAPACITY ENAB
   McEvoy D., 2008, ADAPTATION MAINSTREA
   McEvoy D, 2008, J SUSTAIN TOUR, V16, P101, DOI 10.2167/jost676.0
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   *MUN RE, 2008, WEATH RISKS CENTR EU
   *MUN RE, 2005, ENV REP 2005 PERSP T
   OJHA HR, 2004, SOCIAL LEARNING WOR
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Posthumus H, 2008, AGR WATER MANAGE, V95, P787, DOI 10.1016/j.agwat.2008.02.001
   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]
   Sendzimir J, 2007, ENVIRON MODELL SOFTW, V22, P599, DOI 10.1016/j.envsoft.2005.12.032
   Shaw R., 2007, CLIMATE CHANGE ADAPT
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tippett J, 2005, ENVIRON SCI POLICY, V8, P287, DOI 10.1016/j.envsci.2005.03.003
   *UNEP, 2004, RAP ENV ASS TISZ RIV
   *UNEP FIN IN, 2006, AD VULN CLIM CHANG R
   Vari A, 2003, RISK ANAL, V23, P585, DOI 10.1111/1539-6924.00339
   WERNERS SE, 2009, TRANSITIONS WATER PO
NR 45
TC 37
Z9 38
U1 0
U2 36
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD OCT
PY 2010
VL 15
IS 7
BP 779
EP 795
DI 10.1007/s11027-010-9233-2
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 659HZ
UT WOS:000282558900010
DA 2025-01-10
ER

PT J
AU French, KL
   Vadeboncoeur, MA
   Asbjornsen, H
   Fraver, S
   Kenefic, LS
   Moore, DB
   Wason, JW
AF French, Kelly L.
   Vadeboncoeur, Matthew A.
   Asbjornsen, Heidi
   Fraver, Shawn
   Kenefic, Laura S.
   Moore, David B.
   Wason, Jay W.
TI Temporary thinning shock in previously shaded red spruce
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Picea rubens; water potential; silvicultural thinning; photosynthesis;
   microclimate; vapor pressure deficit
ID VAPOR-PRESSURE DEFICIT; FOREST MANAGEMENT; WATER RELATIONS;
   PICEA-RUBENS; ABIES-BALSAMEA; PHOTOSYSTEM-II; SCOTS PINE; TREE SIZE;
   CLIMATE; GROWTH
AB Silvicultural thinning can lead to rapid microclimatic changes for residual trees. Despite the benefits of decreased competition, thinning may induce "thinning shock"--temporary negative physiological responses as trees acclimate to new conditions. We examined the impact of thinning on the microclimate and physiology of residual, previously shaded red spruce (Picea rubens Sarg.) trees relative to non-thinned controls. Both daily maximum temperature and vapor pressure deficit increased post thinning, with larger increases observed on hotter and drier days. In response to these environmental changes, we found clear evidence of physiological declines. At 1.7 weeks post thinning, we found a 0.59 MPa reduction in average midday water potential relative to control trees, which lasted for an additional 1.4 weeks. Thus, the trees in the thinning treatment were at or beyond published estimates of needle turgor loss. Thinning decreased the photosynthetic efficiency of current-year needles by 3.8% after 2 weeks, and it declined by 1.3% per week for the remainder of the growing season. These results suggest that thinning shock occurs in red spruce, a shade-adapted, climate-sensitive species. Thinning shock may contribute to the lagged growth responses commonly observed post thinning, and these effects may be more extreme in novel future climates.
C1 [French, Kelly L.] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA.
   [French, Kelly L.; Fraver, Shawn; Wason, Jay W.] Univ Maine, Sch Forest Resources, Orono, ME 04469 USA.
   [Vadeboncoeur, Matthew A.; Moore, David B.] Univ New Hampshire, Earth Syst Res Ctr, Durham, NH USA.
   [Asbjornsen, Heidi] Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH USA.
   [Kenefic, Laura S.] USDA Forest Serv, Northern Res Stn, Bradley, ME USA.
   [Moore, David B.] Univ New Hampshire, Nat Resources & Earth Syst Sci, Durham, NH USA.
C3 Purdue University System; Purdue University; University of Maine System;
   University of Maine Orono; University System Of New Hampshire;
   University of New Hampshire; University System Of New Hampshire;
   University of New Hampshire; United States Department of Agriculture
   (USDA); United States Forest Service; University System Of New
   Hampshire; University of New Hampshire
RP French, KL (corresponding author), Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA.; French, KL (corresponding author), Univ Maine, Sch Forest Resources, Orono, ME 04469 USA.
EM french79@purdue.edu
RI Wason, Jay/ABC-9793-2020; Moore, David/AAF-6511-2019; Kenefic,
   Laura/H-3177-2014; Vadeboncoeur, Matt/J-6918-2019
OI Wason, Jay/0000-0003-1338-881X; Moore, David/0000-0001-9141-8813;
   Vadeboncoeur, Matthew/0000-0002-8269-0708; Kenefic,
   Laura/0000-0001-5060-963X; , Shawn/0000-0003-1614-9072
FU Maine Economic Improvement Fund; Maine Agricultural and Forest
   Experiment Station [ME0-42121]
FX This work was made possible by the Maine Economic Improvement Fund, New
   England Botanical Club, Penobscot Experimental Forest Research
   Operations Team, the Iola Hubbard Climate Change Endowment at the
   University of New Hampshire Earth Systems Research Center, the New
   Hampshire Agricultural Experiment Station (accessions 1013351 and
   1022415) , and the USDA National Institute of Food and Agriculture. This
   project is part of McIntire Stennis Project Number ME0-42121
   administered through the Maine Agricultural and Forest Experiment
   Station.
CR ANDERSEN CP, 1991, TREE PHYSIOL, V8, P11, DOI 10.1093/treephys/8.1.11
   Andrews C, 2022, ECOSPHERE, V13, DOI 10.1002/ecs2.4016
   Aussenac G, 2000, ANN FOR SCI, V57, P287
   Bannister JR, 2013, FORESTS, V4, P85, DOI 10.3390/f4010085
   Bartlett MK, 2014, ECOL LETT, V17, P1580, DOI 10.1111/ele.12374
   Borja I, 2016, SCAND J FOREST RES, V31, P450, DOI 10.1080/02827581.2015.1130851
   BREDA N, 1995, TREE PHYSIOL, V15, P295, DOI 10.1093/treephys/15.5.295
   BRIX H, 1986, CAN J FOREST RES, V16, P1334, DOI 10.1139/x86-236
   Bunn AG, 2010, DENDROCHRONOLOGIA, V28, P251, DOI 10.1016/j.dendro.2009.12.001
   Burgess SSO, 2001, TREE PHYSIOL, V21, P589, DOI 10.1093/treephys/21.9.589
   Charrier G, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00259
   Chase CW, 2016, FOREST ECOL MANAG, V363, P98, DOI 10.1016/j.foreco.2015.12.014
   Coble AP, 2017, ECOL PROCESS, V6, DOI 10.1186/s13717-017-0100-x
   CUTTER BE, 1991, FOREST ECOL MANAG, V43, P1, DOI 10.1016/0378-1127(91)90071-3
   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
   Day ME, 2000, TREE PHYSIOL, V20, P57
   DeHayes D.H., 2000, RESPONSES NO US FORE, P495
   DeRose RJ, 2009, CAN J FOREST RES, V39, P777, DOI 10.1139/X09-012
   DeYoung J., 2016, Forest Measurements: An Applied Approach
   Dumais D, 2007, FOREST CHRON, V83, P378, DOI 10.5558/tfc83378-3
   Dumais D, 2014, TREE PHYSIOL, V34, P194, DOI 10.1093/treephys/tpt114
   Eamus D, 2013, ECOL EVOL, V3, P2711, DOI 10.1002/ece3.664
   Evans AM, 2009, CLIMATIC CHANGE, V96, P167, DOI 10.1007/s10584-009-9569-3
   Fernandez I.J., 2020, MAINES CLIMATE FUTUR, DOI [10.13140/RG.2.2.24401.07521, DOI 10.13140/RG.2.2.24401.07521]
   Ficklin DL, 2017, J GEOPHYS RES-ATMOS, V122, P2061, DOI 10.1002/2016JD025855
   Frank R.M., 1973, SILVICULTURAL GUIDE, DOI [10.2737/NE-GTR-6, DOI 10.2737/NE-GTR-6]
   French KL, 2023, THEOR EXP PLANT PHYS, V35, P31, DOI 10.1007/s40626-023-00267-3
   Gleason KE, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1849
   Gotsch SG, 2017, AM J BOT, V104, P1790, DOI 10.3732/ajb.1700247
   HARRINGTON CA, 1983, FOREST SCI, V29, P33
   Hayhoe K, 2007, CLIM DYNAM, V28, P381, DOI 10.1007/s00382-006-0187-8
   Hegyi F., 1974, GROWTH MODELS TREE S, P74
   Helms J.A., 1998, The Dictionary of Forestry
   Horton R., 2014, NEW YORK REV BOOKS
   Johnson DM, 2011, TREE PHYSIOL, V31, P659, DOI 10.1093/treephys/tpr050
   Kannenberg SA, 2019, ECOL LETT, V22, P119, DOI 10.1111/ele.13173
   Karmalkar AV, 2021, NAT CLIM CHANGE, V11, P854, DOI 10.1038/s41558-021-01159-7
   Karmalkar AV, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0168697
   Kayama M, 2007, TREE PHYSIOL, V27, P1585, DOI 10.1093/treephys/27.11.1585
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Kelty MJ, 2006, USDA FS NE RES ST GT, V342, P3
   Kenefic LS, 2005, NORTH J APPL FOR, V22, P77, DOI 10.1093/njaf/22.2.77
   Kerr G., 2011, Thinning Practice: A Silvicultural Guide, P54
   KITAJIMA M, 1975, BIOCHIM BIOPHYS ACTA, V376, P105, DOI 10.1016/0005-2728(75)90209-1
   Kosiba AM, 2018, SCI TOTAL ENVIRON, V637, P1480, DOI 10.1016/j.scitotenv.2018.05.010
   Kuehne C, 2018, ANN FOREST SCI, V75, DOI 10.1007/s13595-018-0697-7
   Kuehne C, 2016, FOREST ECOL MANAG, V376, P84, DOI 10.1016/j.foreco.2016.06.013
   Kunert N, 2010, AGR FOREST METEOROL, V150, P411, DOI 10.1016/j.agrformet.2010.01.006
   Lagergren F, 2008, FOREST ECOL MANAG, V255, P2312, DOI 10.1016/j.foreco.2007.12.047
   Lindner M, 2000, TREE PHYSIOL, V20, P299
   Maher EL, 2005, CAN J FOREST RES, V35, P567, DOI 10.1139/X04-201
   McCaskill G.L., 2016, Maine Forests 2013
   McDowell NG, 2015, NAT CLIM CHANGE, V5, P669, DOI [10.1038/nclimate2641, 10.1038/NCLIMATE2641]
   McIntire CD, 2021, TREES-STRUCT FUNCT, V35, P357, DOI 10.1007/s00468-020-02037-z
   Mehtätalo L, 2014, FOREST SCI, V60, P636, DOI 10.5849/forsci.13-059
   Melis A, 1999, TRENDS PLANT SCI, V4, P130, DOI 10.1016/S1360-1385(99)01387-4
   Murata N, 2007, BBA-BIOENERGETICS, V1767, P414, DOI 10.1016/j.bbabio.2006.11.019
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Nyland R.D., 2016, SILVICULTURE CONCEPT, VThird
   Park J, 2018, FOREST ECOL MANAG, V408, P121, DOI 10.1016/j.foreco.2017.09.031
   Pinheiro J., 2022, R package version 3.1-159, V3, P1
   Da Costa KCP, 2020, PHOTOSYNTHETICA, V58, P323, DOI 10.32615/ps.2019.146
   Powers MD, 2010, FOREST ECOL MANAG, V260, P1138, DOI 10.1016/j.foreco.2010.07.002
   PRISM Climate Group, Oregon State University
   Pukkala T, 2002, SILVA FENN, V36, P827, DOI 10.14214/sf.524
   Rambo TR, 2009, FOREST ECOL MANAG, V257, P435, DOI 10.1016/j.foreco.2008.09.029
   Robakowski P, 2005, TREE PHYSIOL, V25, P1151, DOI 10.1093/treephys/25.9.1151
   RStudio Team, 2020, RSTUDIO INT DEV R
   Sade N, 2012, PLANT SIGNAL BEHAV, V7, P767, DOI 10.4161/psb.20505
   Shifley S. R., 2004, General Technical Report - Southern Research Station, USDA Forest Service, P198
   Simonin K, 2006, TREE PHYSIOL, V26, P493, DOI 10.1093/treephys/26.4.493
   Skov KR, 2004, FOREST SCI, V50, P81
   Smith DH, 1997, P TECH AS P, P537
   Sohn JA, 2013, FOREST ECOL MANAG, V308, P188, DOI 10.1016/j.foreco.2013.07.048
   Sullivan PF, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-15644-7
   Tarroux E, 2010, FOREST ECOL MANAG, V260, P526, DOI 10.1016/j.foreco.2010.05.008
   Vose J., 2016, Effects of drought on forests and rangelands in the United States: a comprehensive science synthesis. Gen. Tech. Rep. WO-93b, V93, P1
   Wason JW, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00063
   Wason JW, 2017, AGR FOREST METEOROL, V246, P272, DOI 10.1016/j.agrformet.2017.05.019
   Weir J.R., 1919, Journal of Forestry, V17, P21
   White PB, 2014, DENDROCHRONOLOGIA, V32, P71, DOI 10.1016/j.dendro.2013.10.001
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Will RE, 2013, NEW PHYTOL, V200, P366, DOI 10.1111/nph.12321
   Young SS, 2021, CLIMATE, V9, DOI 10.3390/cli9120176
   Yuan WP, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax1396
   Zald HSJ, 2022, FOREST ECOL MANAG, V510, DOI 10.1016/j.foreco.2022.120107
   Zazzaro S., 2009, 1151 U MAIN EL
   Zellweger F, 2020, SCIENCE, V368, P772, DOI 10.1126/science.aba6880
NR 89
TC 1
Z9 1
U1 2
U2 9
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 JUL
PY 2023
VL 53
IS 7
BP 491
EP 502
DI 10.1139/cjfr-2022-0227
EA MAR 2023
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA CD4B9
UT WOS:000962279700001
DA 2025-01-10
ER

PT J
AU Torell, GL
   Torell, LA
   Enyinnaya, J
   Spiegal, S
   Estell, RE
   Cibils, AF
   Anderson, DM
   Gonzalez, AL
AF Torell, Gregory L.
   Torell, L. Allen
   Enyinnaya, Joy
   Spiegal, Sheri
   Estell, Rick E.
   Cibils, Andres F.
   Anderson, Dean M.
   Gonzalez, Alfredo L.
TI Economics of Raramuri Criollo and British crossbred cattle production in
   the Chihuahuan desert: Effects of foraging distribution and finishing
   strategy
SO JOURNAL OF ARID ENVIRONMENTS
LA English
DT Article
DE Climate adaptation; Grass-fed beef; Enterprise budget; Niche marketing
ID GRASS-FED BEEF; LIVESTOCK PRODUCTION; SYSTEMS; IMPACT
AB Significant challenges for raising beef cattle exist in the arid and semi-arid regions of the United States. Limited forage availability and small profit margins are among the greatest concerns in Western U.S. ranching operations. One potential option for ranchers in these regions is using alternative cattle genetics, such as Raramuri Criollo (RC), a Mexican heritage biotype of cattle brought to the Americas by Spanish Conquistadors. Previous research has shown that compared to commercial beef breeds, RC cattle exhibit behavior traits that result in foraging patterns that could reduce the environmental footprint of rangeland animal agriculture. We investigated the profitability of raising this biotype in an alternative production system (grass finishing) in the Chihuahuan Desert by producing enterprise budgets for a herd of RC cattle on the Jornada Experimental Range. Results show that RC cattle have lower operating and overhead costs when compared to Angus x Hereford (AxH) crossbred cattle. This reduction in costs allowed the RC cattle operation to have greater net returns to land and risk when compared to an AxH cattle operation in the same location. Raising RC cattle could be a means of strengthening the economic sustainability of desert beef cattle ranching in the United States.
C1 [Torell, Gregory L.; Torell, L. Allen] New Mexico State Univ, Dept Agr Econ & Agr Business, Las Cruces, NM 88003 USA.
   [Enyinnaya, Joy] Colorado State Univ, Dept Media Commun, Ft Collins, CO 80525 USA.
   [Spiegal, Sheri; Estell, Rick E.; Anderson, Dean M.; Gonzalez, Alfredo L.] Agr Res Serv, USDA, Jornada Expt Range, Las Cruces, NM 88003 USA.
   [Cibils, Andres F.] USDA ARS OCPARC, USDA Southern Plains Climate Hub, El Reno, OK 73036 USA.
   [Estell, Rick E.] USDA ARS Jornada Expt Range, Las Cruces, NM 88003 USA.
C3 New Mexico State University; Colorado State University; United States
   Department of Agriculture (USDA); United States Department of
   Agriculture (USDA)
RP Torell, GL (corresponding author), New Mexico State Univ, Dept Agr Econ & Agr Business, Las Cruces, NM 88003 USA.; Estell, RE (corresponding author), USDA ARS Jornada Expt Range, Las Cruces, NM 88003 USA.
EM gtorell@nmsu.edu; Rick.estell@usda.gov
RI Torell, Gregory/ABD-2848-2020
OI Cibils, Andres/0000-0002-4733-6463; Enyinnaya, Joy/0000-0002-2809-7540
FU United States Department of Agriculture; USDA National Institute of Food
   and Agriculture SAS CAP grant [12726269]
FX We thank two anonymous reviewers for suggestions that greatly improved
   an earlier version of this manuscript. This research was a contribution
   from the Long -Term Agroecosystem Research (LTAR) network. LTAR is
   supported by the United States Department of Agriculture. Partial
   support was provided by the USDA National Institute of Food and
   Agriculture SAS CAP grant #12726269.
CR AAEA, 2000, 566 AAEA AMES
   Anderson D. M., 2015, Rangelands, V37, P62, DOI 10.1016/j.rala.2015.01.006
   Anderson DM, 2014, RANGELAND J, V36, P205, DOI 10.1071/RJ13092
   [Anonymous], 1977, The Criollo: Spanish Cattle in the Americas
   [Anonymous], 2014, FARM MARK DIR SAL MA, P1
   Armstrong E, 2022, J ARID ENVIRON, V200, DOI 10.1016/j.jaridenv.2022.104722
   Bailey D W, 2004, J Anim Sci, V82 E-Suppl, pE147
   Barnes M.K., 2011, RANGELANDS, V33, P31, DOI [10.2111/1551-501X-33.2.31, DOI 10.2111/1551-501X-33.2.31]
   Bastian C. T., 2018, Journal of the ASFMRA, V2018, P122
   Bastian CT, 2002, ECOL ECON, V40, P337, DOI 10.1016/S0921-8009(01)00278-6
   Bevers S., 2014, BEEF COW CALF SPA RA
   Capper Judith L, 2012, Animals (Basel), V2, P127, DOI 10.3390/ani2020127
   CattleFax, 2014, CATTLEFAX WEBS STAT
   Cusack DF, 2021, GLOBAL CHANGE BIOL, V27, P1721, DOI 10.1111/gcb.15509
   Enyinnaya J.C., 2016, THESIS NEW MEXICO ST
   Estell RE, 2022, J ARID ENVIRON, V205, DOI 10.1016/j.jaridenv.2022.104823
   Estell R, 2021, J ARID ENVIRON, V193, DOI 10.1016/j.jaridenv.2021.104563
   Evans JR, 2007, J SUSTAIN AGR, V30, P27, DOI 10.1300/J064v30n04_04
   Fowler J.M., 1987, RANGELANDS ARCH, P55
   Grassfed_Alliance, 2022, BACK GRASS
   Gwin L., 2012, Journal of Food Distribution Research, V43, P91
   Gwin L., 2013, Local meat and poultry processing: The importance of business commitments for long-term viability
   Gwin L, 2009, J SUSTAIN AGR, V33, P189, DOI 10.1080/10440040802660095
   Hawkes J.M., 2014, COST RETURN ESTIMATE
   Holechek J.K., 2011, Range Management Principles and Practices
   Jackson RD, 2022, AGR ENV LETT, V7, DOI 10.1002/ael2.20059
   Johnson RJ., 2012, SLAUGHTER PROCESSING
   Kimble M., 2013, CRIOLLO COMEBACK
   Kimble M., 2013, RANCHS OBSERVATION, P52
   Lozier J, 2004, J SUSTAIN AGR, V25, P93, DOI 10.1300/J064v25n02_08
   Mathews K.H., 2013, Alternative Beef Production Systems: Issues and Implications
   McIntosh M.M., 2020, Arch Latinoam Prod Anim, V28, P111, DOI DOI 10.53588/ALPA283406
   McIntosh MM, 2021, LIVEST SCI, V249, DOI 10.1016/j.livsci.2021.104511
   Nyamuryekung'e S, 2022, J ARID ENVIRON, V199, DOI 10.1016/j.jaridenv.2021.104704
   Nyamuryekung'e S, 2021, J ARID ENVIRON, V193, DOI 10.1016/j.jaridenv.2021.104565
   Peinetti HR, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00021.1
   Price D., 2014, CHARACTERISITCS CRIO
   Ricci P, 2014, J ANIM SCI, V92, P1239, DOI 10.2527/jas.2013-7029
   Spiegal S, 2019, RANGELAND ECOL MANAG, V72, P590, DOI 10.1016/j.rama.2019.02.008
   Susieville Cattle Company, 2014, GRASS FED RANCH RAIS
   Tanaka J.A., 1987, RANGELANDS, V9
   Torell L.A., 2012, NEW MEXICO STATE U A, V31
   Tronstad R, 2003, J RANGE MANAGE, V56, P425, DOI 10.2307/4003832
   Turner BL, 2013, AGR SYST, V114, P6, DOI 10.1016/j.agsy.2012.07.009
   Wesley RL, 2012, APPL ANIM BEHAV SCI, V139, P183, DOI 10.1016/j.applanim.2012.04.005
   Workman J.P., 1986, Range Economics
NR 46
TC 7
Z9 7
U1 0
U2 0
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 APR
PY 2023
VL 211
AR 104922
DI 10.1016/j.jaridenv.2022.104922
EA JAN 2023
PG 7
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA H3IX2
UT WOS:000994947200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Krüger, E
   Woznicki, TL
   Heide, OM
   Kusnierek, K
   Rivero, R
   Masny, A
   Sowik, I
   Brauksiepe, B
   Eimert, K
   Mott, D
   Savini, G
   Demene, M
   Guy, K
   Petit, A
   Denoyes, B
   Sonsteby, A
AF Krueger, Erika
   Woznicki, Tomasz L.
   Heide, Ola M.
   Kusnierek, Krzysztof
   Rivero, Rodmar
   Masny, Agnieszka
   Sowik, Iwona
   Brauksiepe, Bastienne
   Eimert, Klaus
   Mott, Daniela
   Savini, Gianluca
   Demene, Marino
   Guy, Karine
   Petit, Aurelie
   Denoyes, Beatrice
   Sonsteby, Anita
TI Flowering Phenology of Six Seasonal-Flowering Strawberry Cultivars in a
   Coordinated European Study
SO HORTICULTURAE
LA English
DT Article
DE climate; flower initiation; Fragaria x ananassa; global radiation;
   photoperiod; temperature
ID JUNE-BEARING STRAWBERRY; GROWTH; PHOTOPERIOD; INITIATION; YIELD
AB The flowering phenology of six genetically distant strawberry cultivars ('Candonga (R)' (ES), 'Clery' (IT), 'Florence' (UK), 'Frida' (NO), 'Gariguette' (FR), and 'Sonata' (NL)) was studied for 3 years in relation to climatic parameters in open-field cultivation at three locations (Norway, Poland, Germany) and in soil-less cultivation at two locations (Italy, and France), covering a distance of 16 degrees of latitude. This proved to be a useful approach for unravelling the climatic adaptation and plasticity of strawberry genotypes and their suitability both for profitable cultivation and as a breeding pedigree. Despite the intercorrelated character of the climatic variables, the observed results highlight the importance of global radiation as a powerful modifying phenological factor in strawberry. Generally, early flower initiation was associated with elevated temperature and global radiation. 'Frida' revealed the highest dependency on global radiation for flower initiation, while 'Sonata' was least affected by temperature and radiation. In general, temperature and global radiation in periods both preceding and following flower initiation had a stronger positive effect on the number of flowers than on crowns, especially under open-field conditions. The influence of these factors was highly variable across the cultivars: 'Clery', 'Florence', and 'Gariguette' were most affected, while 'Frida' was least influenced.
C1 [Krueger, Erika] Hsch Geisenheim Univ, Dept Pomol, D-65366 Geisenheim, Germany.
   [Woznicki, Tomasz L.; Kusnierek, Krzysztof; Sonsteby, Anita] Norwegian Inst Bioecon Res NIBIO, NO-1431 As, Norway.
   [Heide, Ola M.; Rivero, Rodmar] Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, NO-1432 As, Norway.
   [Masny, Agnieszka; Sowik, Iwona] Natl Inst Hort Res INHORT, PL-96100 Skierniewice, Poland.
   [Brauksiepe, Bastienne; Eimert, Klaus] Hsch Geisenheim Univ, Dept Mol Plant Sci, D-65366 Geisenheim, Germany.
   [Mott, Daniela; Savini, Gianluca] SantOrsola Soc Cooperat Agr, Via Lagorai, IT-38057 Pergine Valsugana, Italy.
   [Demene, Marino; Guy, Karine; Petit, Aurelie] Maison Jeannette, INVENIO, FR-24140 Douville, France.
   [Denoyes, Beatrice] Univ Bordeaux, INRAE, Biol Fruit & Pathol, UMR 1332, F-33140 Villenave Dornon, France.
C3 Norwegian Institute of Bioeconomy Research; Norwegian University of Life
   Sciences; Universite de Bordeaux; INRAE
RP Krüger, E (corresponding author), Hsch Geisenheim Univ, Dept Pomol, D-65366 Geisenheim, Germany.
EM erika.krueger@hs-gm.de
RI Sowik, Iwona/U-4038-2018; Petit, Aurelie/O-1731-2018; Eimert,
   Klaus/AAC-8716-2020; Masny, Agnieszka/S-4438-2018
OI Kruger, Erika/0000-0003-2841-3483; Eimert, Klaus/0000-0001-7492-7659;
   Sonsteby, Anita/0000-0002-2705-9091; Denoyes,
   Beatrice/0000-0002-0369-9609; Masny, Agnieszka/0000-0002-6727-5653;
   Kusnierek, Krzysztof/0000-0002-6302-3707
FU European Union [679303]; Open Access Publishing Fund of Geisenheim
   University
FX This work was founded by the European Union's H2020 Programme
   (GoodBerry; grant number 679303). We acknowledge support from the Open
   Access Publishing Fund of Geisenheim University.
CR [Anonymous], 1965, Encyclopedia of Plant Physiology
   BERNIER G, 1993, PLANT CELL, V5, P1147, DOI 10.1105/tpc.5.10.1147
   DARROW GEORGE M., 1934, U S DEPT AGRIC TECH BULL, V453, P1
   Doving A, 2001, ACTA AGR SCAND B-S P, V51, P28, DOI 10.1080/090647101317187861
   Eshghi S, 2007, SCI HORTIC-AMSTERDAM, V113, P255, DOI 10.1016/j.scienta.2007.03.014
   Guttridge C. G., 1985, CRC HDB FLOWERING, VII, P16
   Heide OM, 2013, J HORTIC SCI BIOTECH, V88, P1
   HEIDE OM, 1977, PHYSIOL PLANTARUM, V40, P21, DOI 10.1111/j.1399-3054.1977.tb01486.x
   ITO HIDEO, 1962, TOHOKU JOUR AGRIC RES, V13, P191
   JONKERS H., 1965, MEDEDEL LANDBOUWHOGESCH WAGENINGEN, V65, P1
   Konsin M, 2001, J HORTIC SCI BIOTECH, V76, P77, DOI 10.1080/14620316.2001.11511330
   Krüger E, 1999, SCI HORTIC-AMSTERDAM, V81, P409, DOI 10.1016/S0304-4238(99)00030-8
   Le Mière P, 1998, J HORTIC SCI BIOTECH, V73, P786, DOI 10.1080/14620316.1998.11511049
   Lieten P, 2002, ACTA HORTIC, P345, DOI 10.17660/ActaHortic.2002.567.74
   Opstad N, 2011, SCI HORTIC-AMSTERDAM, V129, P127, DOI 10.1016/j.scienta.2011.03.022
   Rivero R., 2022, CABI AGR BIOSCI, V3, P1, DOI [10.1186/s43170-022-00110-w, DOI 10.1186/S43170-022-00110-W]
   Sonsteby A, 2008, SCI HORTIC-AMSTERDAM, V119, P49, DOI 10.1016/j.scienta.2008.07.005
   Sonsteby A, 2009, SCI HORTIC-AMSTERDAM, V123, P204, DOI 10.1016/j.scienta.2009.08.009
   Takeda F, 2010, INT J FRUIT SCI, V10, P134, DOI 10.1080/15538362.2010.492331
   Taylor DR, 1997, ANN APPL BIOL, V130, P141, DOI 10.1111/j.1744-7348.1997.tb05790.x
   Verheul MJ, 2007, SCI HORTIC-AMSTERDAM, V112, P200, DOI 10.1016/j.scienta.2006.12.022
   Wang R, 2020, HORTSCIENCE, V55, P670, DOI 10.21273/HORTSCI14917-20
   Woznicki TL, 2019, SCI HORTIC-AMSTERDAM, V257, DOI 10.1016/j.scienta.2019.108750
   Yoshida Y, 2012, J JPN SOC HORTIC SCI, V81, P343, DOI 10.2503/jjshs1.81.343
NR 24
TC 9
Z9 9
U1 1
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2311-7524
J9 HORTICULTURAE
JI Horticulturae
PD OCT
PY 2022
VL 8
IS 10
AR 933
DI 10.3390/horticulturae8100933
PG 26
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 5P3HM
UT WOS:000873045700001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Duvat, VKE
   Magnan, AK
   Goeldner-Gianella, L
   Grancher, D
   Costa, S
   Maquaire, O
   Le Cozannet, G
   Stahl, L
   Volto, N
   Pignon-Mussaud, C
AF Duvat, Virginie K. E.
   Magnan, Alexandre K.
   Goeldner-Gianella, Lydie
   Grancher, Delphine
   Costa, Stephane
   Maquaire, Olivier
   Le Cozannet, Goneri
   Stahl, Lucile
   Volto, Natacha
   Pignon-Mussaud, Cecilia
TI Internal relocation as a relevant and feasible adaptation strategy in
   Rangiroa Atoll, French Polynesia
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CARTERET ISLANDS; CLIMATE-CHANGE; RESETTLEMENT; LESSONS; EXAMPLE
AB Atoll islands face increasing coastal risks (coastal erosion and marine flooding) due to climate change, especially sea-level rise. To face increasing coastal risks, various adaptation options are considered by atoll countries and territories, including in particular hard protection (preferred option to date), Nature-based Solutions (increasingly used) and island raising (considered a longer-term solution and a potential alternative to international migration, e.g. in the Maldives). Internal relocation within the same atoll island or atoll, which refers to long-term community movement from one threatened island area or island to a safer island area or island, has previously been disregarded by scholars as a potentially relevant climate adaptation strategy. However, in low-lying coastal areas, it offers real potential to address the dual context of increasing climate risks and the shrinking of the solution space. This paper assesses the potential of internal relocation for atolls by applying to Rangiroa Atoll, French Polynesia, Central Pacific, a two-fold assessment framework questioning its physical relevance (are some islands high enough to host settlements in the future?) and its societal feasibility (are the political-institutional and socio-economic conditions in place? Are people willing to relocate?). The findings show that internal relocation is both relevant and feasible on Rangiroa Atoll and should therefore serve as a pillar to develop robust in situ adaptation pathways in this atoll.
C1 [Duvat, Virginie K. E.; Magnan, Alexandre K.; Stahl, Lucile; Volto, Natacha; Pignon-Mussaud, Cecilia] La Rochelle Univ, CNRS, UMR LIENSs 7266, 2 Rue Olympe de Gouges, F-17000 La Rochelle, France.
   [Magnan, Alexandre K.] Sci Po, Inst Sustainable Dev & Int Relat, 27 Rue St Guillaume, F-750005 Paris, France.
   [Goeldner-Gianella, Lydie] Univ Paris 1 Pantheon Sorbonne, Lab Phys Geog, F-75005 Paris, France.
   [Grancher, Delphine] CNRS, Lab Phys Geog, F-75005 Paris, France.
   [Costa, Stephane; Maquaire, Olivier] Normandie Univ, LETG, CNRS, Unicaen, F-14000 Caen, France.
   [Le Cozannet, Goneri] Bur Rech Geol & Minieres, DRP R3C, F-45000 Orleans, France.
C3 Centre National de la Recherche Scientifique (CNRS); Institut d'Etudes
   Politiques Paris (Sciences Po); Universite
   Paris-Est-Creteil-Val-de-Marne (UPEC); Universite
   Paris-Est-Creteil-Val-de-Marne (UPEC); Centre National de la Recherche
   Scientifique (CNRS); Universite de Caen Normandie; Centre National de la
   Recherche Scientifique (CNRS); Bureau de Recherches Geologiques et
   Minieres (BRGM)
RP Duvat, VKE (corresponding author), La Rochelle Univ, CNRS, UMR LIENSs 7266, 2 Rue Olympe de Gouges, F-17000 La Rochelle, France.
EM virginie.duvat@univ-lr.fr
RI Duvat, Virginie/GLN-3102-2022; Le Cozannet, Goneri/F-2005-2011; Magnan,
   Alexandre/I-3377-2017
OI VOLTO, Natacha/0000-0002-7674-8926; PIGNON-MUSSAUD,
   Cecilia/0000-0003-2791-8084; Magnan, Alexandre/0000-0001-7421-5184
FU French National Research Agency under the STORISK project; ANR
   [15-CE03-0003]
FX This work was supported by the French National Research Agency under the
   STORISK project (No. ANR- 15-CE03-0003). The authors warmly thank the
   local public authorities for providing logistical support for remote
   fieldwork in distant islands. They are grateful to national and local
   public actors who helped understanding development and risk management
   in Rangiroa. They also warmly thank the numerous anonymous inhabitants
   who answered their questions and participated in focus groups. Finally,
   they thank Heitea Terorotua for organizing the focus groups.
CR Amores A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-05329-1
   Balachandran B, 2022, J AM PLANN ASSOC, V88, P288, DOI 10.1080/01944363.2021.1978855
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Bisaro A, 2020, CLIMATIC CHANGE, V160, P671, DOI 10.1007/s10584-019-02507-5
   Brown S, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12567
   Campbell John., 2010, Climate Change and Displacement: Multidisciplinary Perspectives
   Canavesio R, 2019, GLOBAL PLANET CHANGE, V177, P116, DOI 10.1016/j.gloplacha.2019.03.018
   Church JA, 2011, SURV GEOPHYS, V32, P585, DOI 10.1007/s10712-011-9119-1
   Connell J, 2016, ASIA PAC VIEWP, V57, P3, DOI 10.1111/apv.12118
   Connell J, 2012, AUST GEOGR, V43, P127, DOI 10.1080/00049182.2012.682292
   Damlamian H., 2013, SPC APPL GEOSCIENCE, P44
   Des Garets E., 2005, BRGMRP55038FR57
   Duvat VKE, 2020, SUSTAIN SCI, V15, P569, DOI 10.1007/s11625-019-00722-8
   Duvat VKE, 2021, GEOMORPHOLOGY, V390, DOI 10.1016/j.geomorph.2021.107871
   Duvat VKE, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.700
   Duvat VKE, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01699-2
   Duvat VKE, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51468-3
   Duvat VKE, 2018, HOUILLE BLANCHE, P13, DOI 10.1051/lhb/2018016
   Duvat VKE, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.478
   Edwards JB, 2013, REFUG SURV Q, V32, P52, DOI 10.1093/rsq/hdt011
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Ferris E., 2020, J Migr Hum Secur, V8, P134
   Fox-Kemper B., 2021, Climate Change 2021: The Physical Science Basis, DOI DOI 10.1017/9781009157896.011.1212
   Giardino A, 2018, REG ENVIRON CHANGE, V18, P2237, DOI 10.1007/s10113-018-1353-3
   Giffin AL, 2021, PAC CONSERV BIOL, V27, P104, DOI 10.1071/PC20025
   Goeldner-Gianella L, 2019, OCEAN COAST MANAGE, V172, P14, DOI 10.1016/j.ocecoaman.2019.01.018
   Haasnoot M, 2021, SCIENCE, V372, P1287, DOI 10.1126/science.abi6594
   Hay CC, 2015, NATURE, V517, P481, DOI 10.1038/nature14093
   Hinkel J, 2018, NAT CLIM CHANGE, V8, P570, DOI 10.1038/s41558-018-0176-z
   Hoeke RK, 2021, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.539646
   ISPF (Institut Statistique de la Polynesie francaise), 2017, STAT DAT FRENCH POL
   Jarillo S, 2021, J RURAL STUD, V87, P137, DOI 10.1016/j.jrurstud.2021.08.026
   Kench PS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-02954-1
   King D, 2014, INT J DISAST RISK RE, V8, P83, DOI 10.1016/j.ijdrr.2014.02.006
   Larrue S., 2010, Vertigo, V10
   Laurent V., 2014, ETUDES CLIMATOLOGIE, P175
   Le Cozannet G, 2019, WATER-SUI, V11, DOI 10.3390/w11071507
   Luchi K., 2017, COMING HOME DISASTER, P209
   Magnan A.K., 2018, VertigO-la revue electronique en sciences de l'environnement, V18, P3, DOI [10.4000/vertigo.23607, DOI 10.4000/VERTIGO.23607]
   Magnan AK, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01933-z
   Magnan AK, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01691-w
   Martin PCM, 2018, CLIM RISK MANAG, V21, P7, DOI 10.1016/j.crm.2018.04.003
   Martínez-Asensio A, 2019, GLOBAL PLANET CHANGE, V176, P132, DOI 10.1016/j.gloplacha.2019.03.008
   Maspataud A, 2018, RAPP FIN PROGR DEF C, P42
   McAdam J, 2015, CAMB INT LAW J, V4, P137, DOI 10.7574/cjicl.04.01.137
   McLean R, 2015, WIRES CLIM CHANGE, V6, P445, DOI 10.1002/wcc.350
   McNamara KE, 2015, INT J DISAST RISK SC, V6, P315, DOI 10.1007/s13753-015-0065-2
   Montaggioni LF, 2022, MAR GEOL, V445, DOI 10.1016/j.margeo.2022.106748
   Moss RH, 2021, SCIENCE, V372, P1276, DOI 10.1126/science.abh3256
   Mycoo M., 2022, Contribution of the Working Group II to the IPCC Sixth Assessment Report. Climate Change 2022: Impacts, Adaptation and Vulnerability
   Naylor AK, 2015, PROG PHYS GEOG, V39, P728, DOI 10.1177/0309133315598269
   New M, 2022, CONTRIBUTION WORKING
   Nunn PD, 2021, OCEAN COAST MANAGE, V205, DOI 10.1016/j.ocecoaman.2021.105554
   Onaka S, 2018, ASIAN AND PACIFIC COASTS 2017: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON APAC 2017, P651
   Ottino P, 1965, ETHNO HIST RANGIROA
   Owen SD, 2016, APPL GEOGR, V72, P55, DOI 10.1016/j.apgeog.2016.05.004
   Pedreros R., 2010, BRGMRP58990FR64
   Petz D., 2015, Planned relocations in the context of natural disasters and climate change: A review of the literature
   PGA, 2017, ET PLAN AM TERR WIL, P45
   Philippenko X, 2021, OCEAN COAST MANAGE, V215, DOI 10.1016/j.ocecoaman.2021.105924
   Piggott-McKellar AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8050133
   PIRAZZOLI PA, 1986, QUATERNARY RES, V25, P350, DOI 10.1016/0033-5894(86)90006-2
   Ratter B, 2019, ERDE, V150, P169, DOI 10.12854/erde-2019-426
   Roberts F., 2017, ADVOCATE
   See J, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102188
   SHOM, 2016, REF ALT MAR PORTS FR, P116
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Simms JRZ, 2017, J COASTAL RES, V33, P408, DOI 10.2112/JCOASTRES-D-15-00193.1
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Terorotua H, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00160
   UN Habitat, 2009, POSTTS AC NIAS SETTL
   van Hooidonk R, 2016, SCI REP-UK, V6, DOI 10.1038/srep39666
   Wadey M, 2017, NAT HAZARDS, V89, P131, DOI 10.1007/s11069-017-2957-5
   Wilson C., 2014, FIJI LEADS PACIFIC R
NR 74
TC 8
Z9 8
U1 0
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 AUG 19
PY 2022
VL 12
IS 1
AR 14183
DI 10.1038/s41598-022-18109-8
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 3W7XC
UT WOS:000842561700038
PM 35986038
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Mahmoudabadi, V
   Ravichandran, N
AF Mahmoudabadi, Vahidreza
   Ravichandran, Nadarajah
TI Reliability-based optimization in climate-adaptive design of embedded
   footing
SO GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND
   GEOHAZARDS
LA English
DT Article
DE Embedded footing; climate events; reliability-based design optimisation;
   NSGA-II; partially saturated soil
ID POTENTIAL EVAPOTRANSPIRATION METHODS; BEARING CAPACITY; RETAINING WALLS;
   SHEAR-STRENGTH; UNSATURATED FLOW; SOIL; INFILTRATION; CONDUCTIVITY;
   SIMULATION; EQUATION
AB This paper presents a quantitative framework to optimise embedded footing performance subjected to extreme historical climate events with respect to the uncertainties associated with site-specific soil and climatic parameters. The proposed framework is developed based on partially saturated soil mechanics principles in conjunction with a multi-objective optimisation algorithm called Non-dominated Sorting Genetic Algorithm (NSGA-II) to develop a robust optimised design procedure. The proposed method was applied to two semi-arid climate sites, Riverside and Victorville, both situated in California, United States. The results show that the proposed method generally improves the embedded footing design compared to conventional methods in terms of cost and performance. Based on the findings, under the extreme climate conditions, the proposed method estimates the average soil degree of saturation within the footing influence zone between 52% and 95%, with a mean value of 63.1% for the Victorville site, and 57% and 90% with a mean value of 81.6% for the site in Riverside. It is also found that the optimal design from the proposed method shows a lower total construction cost, 44% and 19%, for the Victorville and Riverside sites, respectively, compared to the ones designed by the conventional methods.
C1 [Mahmoudabadi, Vahidreza] Dataforens LLC, Atlanta, GA 30360 USA.
   [Ravichandran, Nadarajah] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29631 USA.
C3 Clemson University
RP Mahmoudabadi, V (corresponding author), Dataforens LLC, Atlanta, GA 30360 USA.
EM vahid@dataforensics.net
RI Mahmoudabadi, Vahidreza/K-8781-2019
OI Mahmoudabadi, Vahidreza/0000-0002-9363-6635
CR Al-Bittar T., 2012, THESIS U NANTES FRAN
   [Anonymous], 1986, TECHNICAL RELEASE 55
   BAKER DL, 1995, GROUND WATER, V33, P385, DOI 10.1111/j.1745-6584.1995.tb00294.x
   BOWLES JE, 1987, J GEOTECH ENG-ASCE, V113, P846, DOI 10.1061/(ASCE)0733-9410(1987)113:8(846)
   Briaud J.L., 2013, Geotechnical engineering: Unsaturated and saturated soils
   Camp CV, 2012, J STRUCT ENG, V138, P438, DOI 10.1061/(ASCE)ST.1943-541X.0000461
   CELIA MA, 1990, WATER RESOUR RES, V26, P1483, DOI 10.1029/WR026i007p01483
   Ceranic B, 2001, COMPUT STRUCT, V79, P1569, DOI 10.1016/S0045-7949(01)00037-2
   Chowdhury K., 2006, Preliminary Geotechnical Investigation Report Victorville 2 Hybrid Power Project Victorville
   Converse Consultants, 2016, REV GEOT INV REP
   Costa YD, 2003, GEOTECH TEST J, V26, P219
   Das B.M., 2010, PRINCIPLES FDN ENG
   Das I, 1998, SIAM J OPTIMIZ, V8, P631, DOI 10.1137/S1052623496307510
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Duncan JM, 2000, J GEOTECH GEOENVIRON, V126, P307, DOI 10.1061/(ASCE)1090-0241(2000)126:4(307)
   Ellithy G., 2017, SPREADSHEET ESTIMATI
   FEDDES RA, 1988, J HYDROL, V100, P69, DOI 10.1016/0022-1694(88)90182-5
   Fenton G.A., 2008, Risk Assessment in Geotechnical Engineering
   Fredlund DG, 2006, J GEOTECH GEOENVIRON, V132, P286, DOI 10.1061/(ASCE)1090-0241(2006)132:3(286)
   FREDLUND DG, 1978, CAN GEOTECH J, V15, P313, DOI 10.1139/t78-029
   Goh SG, 2010, J GEOTECH GEOENVIRON, V136, P594, DOI 10.1061/(ASCE)GT.1943-5606.0000261
   Griffiths DV, 2002, J GEOTECH GEOENVIRON, V128, P743, DOI 10.1061/(ASCE)1090-0241(2002)128:9(743)
   Hamon W.R., 1961, Journal of the Hydraulics Division, Proceedings of the American Society of Civil Engineers, V87, P107, DOI DOI 10.1061/JYCEAJ.0000599
   Han KK, 1995, UNSATURATED SOILS, VOLS 1 AND 2, P499
   Juang C.H., 2013, SOUND GEOTECHNICAL R, P514
   Juang CH, 2013, COMPUT GEOTECH, V48, P96, DOI 10.1016/j.compgeo.2012.10.003
   Juang CH, 2011, J GEOTECH GEOENVIRON, V137, P130, DOI 10.1061/(ASCE)GT.1943-5606.0000413
   Khajehzadeh M., 2010, Economic design of retaining wall using particle swarm optimization with passive congregation. Undefined. /paper/Economic-design-of-retaining
   Kim J, 2004, ENG GEOL, V75, P251, DOI 10.1016/j.enggeo.2004.06.017
   Kim Y, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081417
   Kulhawy F.H., 1990, MANUAL ESTIMATING SO
   KUMBHOJKAR AS, 1993, J GEOTECH ENG-ASCE, V119, P598, DOI 10.1061/(ASCE)0733-9410(1993)119:3(598)
   Lacasse S, 1996, GEOTECH SP, P49
   Lu JB, 2005, J AM WATER RESOUR AS, V41, P621, DOI 10.1111/j.1752-1688.2005.tb03759.x
   Lu N, 2006, J GEOTECH GEOENVIRON, V132, P131, DOI 10.1061/(ASCE)1090-0241(2006)132:2(131)
   Lu N, 2004, Unsaturated soil mechanics
   Means, 2006, 2007 RS MEANS ASS CO
   Means, 1990, MEANS ESTIMATING HDB
   Melinda F, 2004, J GEOTECH GEOENVIRON, V130, P807, DOI 10.1061/(ASCE)1090-0241(2004)130:8(807)
   Meyerhof G.G., 1963, CAN GEOTECH J, V1, P16, DOI [DOI 10.1139/T63-003, 10.1139/t63-003]
   National Oceanic and Atmospheric Administration (NOAA), 2016, NOAA SAT INF SERV NA
   Nishimura T., 2002, PROCEEDING 3 INT C U, P301
   Oh W.T., 2011, 5 ASIA PACIFIC C UNS
   Oh WT, 2013, INT J GEOMECH, V13, P769, DOI 10.1061/(ASCE)GM.1943-5622.0000263
   Oh WT, 2009, CAN GEOTECH J, V46, P903, DOI 10.1139/T09-030
   Oloo SY, 1997, CAN GEOTECH J, V34, P398, DOI 10.1139/t96-084
   Orense R.P., 2004, PHILIPPINE ENG J, V25
   Pei YY, 2012, PROCED EARTH PLAN SC, V5, P32, DOI 10.1016/j.proeps.2012.01.006
   Ravichandran N., 2017, International Journal of Geosciences, V8, P1231, DOI 10.4236/ijg.2017.810071
   Richards LA, 1931, PHYSICS-J GEN APPL P, V1, P318, DOI 10.1063/1.1745010
   Robinson JD, 2017, CAN GEOTECH J, V54, P117, DOI 10.1139/cgj-2015-0602
   Rojas JC, 2007, SPRINGER PROC PHYS, V112, P445
   Romano N, 1998, ADV WATER RESOUR, V21, P315, DOI 10.1016/S0309-1708(96)00059-0
   Saribas A, 1996, J GEOTECH ENG-ASCE, V122, P649
   Seong C, 2018, INT J CLIMATOL, V38, P896, DOI 10.1002/joc.5218
   Steensen-Bach J.O., 1987, P 9 EUROPEAN C SOIL, P83
   Tang XS, 2020, COMPUT GEOTECH, V127, DOI 10.1016/j.compgeo.2020.103784
   Tang YM, 2015, NAT HAZARDS, V79, P137, DOI 10.1007/s11069-015-1833-4
   Terzaghi K., 1943, Theoretical Soil Mechanics
   Thu T.M., 2006, P 4 INT C UNSATURATE, P1212
   Turnbull K.F., 2016, SUMMARY 4 EU US TRAN
   U.S. Geological Survey (USGS), 2016, NAT WAT INF SYST WEB
   Vahedifard F, 2016, J GEOTECH GEOENVIRON, V142, DOI 10.1061/(ASCE)GT.1943-5606.0001445
   van Dam JC, 2000, J HYDROL, V233, P72, DOI 10.1016/S0022-1694(00)00227-4
   Vanapalli S. K., 2013, Poromechanics V. Proceedings of the Fifth Biot Conference on Poromechanics, P1695
   Vanapalli SK, 2007, SPRINGER PROC PHYS, V112, P483
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
   Vesic A.S., 1973, ASCE Journal of the Soil Mechanics and Foundations Division, V99, P45, DOI [10.1061/JSFEAQ.0001846, DOI 10.1061/JSFEAQ.0001846, 10.1061/jsfeaq.0001846]
   Wang MX, 2020, COMPUT GEOTECH, V118, DOI 10.1016/j.compgeo.2019.103326
   Wang Y, 2008, J GEOTECH GEOENVIRON, V134, P1097, DOI 10.1061/(ASCE)1090-0241(2008)134:8(1097)
   WARRICK AW, 1990, WATER RESOUR RES, V26, P253, DOI 10.1029/WR026i002p00253
   WARRICK AW, 1991, WATER RESOUR RES, V27, P1215, DOI 10.1029/91WR00093
   Wei XS, 2020, NAT HAZARDS, V103, P2145, DOI 10.1007/s11069-020-04075-9
   Yepes V, 2008, ENG STRUCT, V30, P821, DOI 10.1016/j.engstruct.2007.05.023
   ZAIDEL J, 1992, WATER RESOUR RES, V28, P2285, DOI 10.1029/92WR00914
   Zhang F., 2010, SOIL WATER RETENTION
   Zhang J, 2011, J GEOTECH GEOENVIRON, V137, P1211, DOI 10.1061/(ASCE)GT.1943-5606.0000551
NR 78
TC 2
Z9 2
U1 0
U2 0
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1749-9518
EI 1749-9526
J9 GEORISK
JI Georisk
PD APR 3
PY 2023
VL 17
IS 2
BP 287
EP 309
DI 10.1080/17499518.2022.2088801
EA JUN 2022
PG 23
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA J7DF2
UT WOS:000811176700001
DA 2025-01-10
ER

PT J
AU Metlen, KL
   Fairbanks, T
   Bennett, M
   Volpe, J
   Kuhn, B
   Thompson, MP
   Thrailkill, J
   Schindel, M
   Helmbrecht, D
   Scott, J
   Borgias, D
AF Metlen, Kerry L.
   Fairbanks, Terry
   Bennett, Max
   Volpe, Jena
   Kuhn, Bill
   Thompson, Matthew P.
   Thrailkill, Jim
   Schindel, Michael
   Helmbrecht, Don
   Scott, Joe
   Borgias, Darren
TI Integrating forest restoration, adaptation, and proactive fire
   management: Rogue River Basin case study
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE climate adaptation; forest restoration; wildfire risk; ecological
   forestry; prescribed fire
ID FUEL TREATMENTS; SEVERITY PATTERNS; WILDFIRE; OREGON; CLIMATE; GROWTH;
   RESILIENCE; CONSERVATION; RETHINKING; WASHINGTON
AB Uncharacteristic disturbances exacerbated by climate change are challenging forests and social systems of North America. To improve efficiency and effectiveness of forest management to address these challenges, we demonstrated structured decision-making in the collaborative development of a novel 20-year dry forest management strategy for southwestern Oregon, USA. We framed priorities and evaluated options with a wildfire risk assessment, then modeled stand-scale prescriptions to estimate management outputs (e.g., area treated, fuels reduced, and timber volume). We mapped landscape-scale objectives and used optimization software to prioritize treatment placement constrained by realistic access considerations and robust habitat protections. The resulting prioritization integrated proactive forest adaptation and fire management (ecological forest thinning, prescribed fire) with protection of imperiled species. To evaluate tradeoffs, we tested three 20-year scenarios, finding that the All-Lands scenario best mitigated wildfire risk; it reduced risk overall by 70%, to homes by 50%, and to core northern spotted owl habitat by 47%. This scenario treated 25% of the 1.9 million ha landscape, including 31% of federal land and 40% of the community at risk. Clear articulation of collaborative objectives and evaluation of scenarios have expanded partnerships and co-investment in actions supporting a shared vision of resilient southwestern Oregon forests applicable to other landscapes.
C1 [Metlen, Kerry L.; Borgias, Darren] Nature Conservancy, 647 Washington St, Ashland, OR 97520 USA.
   [Fairbanks, Terry] Southern Oregon Forest Restorat Collaborat, Jacksonville, OR 97530 USA.
   [Bennett, Max] Oregon State Univ, Southern Oregon Res & Extens Ctr, Forestry & Nat Resources Program, 569 Hanley Rd, Central Point, OR 97502 USA.
   [Volpe, Jena] Bur Land Management Medford Dist, 3040 Biddle Rd, Medford, OR 97504 USA.
   [Kuhn, Bill] USDA Forest Serv, Rocky Mt Res Stn, Human Dimens Program, 3040 Biddle Rd, Medford, OR 97504 USA.
   [Thompson, Matthew P.] USDA Forest Serv, Rocky Mt Res Stn, Human Dimens Program, 240 W Prospect, Ft Collins, CO 80526 USA.
   [Thrailkill, Jim] US Fish & Wildlife Serv, Oregon Fish & Wildlife Off, Roseburg Field Off, 777 Garden Valley Blvd, Roseburg, OR 97471 USA.
   [Schindel, Michael] Nature Conservancy, 821 SE 14th Ave, Portland, OR 97214 USA.
   [Helmbrecht, Don] USDA Forest Serv, Gardiner Ranger Dist Off, Enterprise Program, 805 Scott St W, Gardiner, MT 59030 USA.
   [Scott, Joe] Pyrologix LLC, Missoula, MT 59801 USA.
C3 Oregon State University; United States Department of Agriculture (USDA);
   United States Forest Service; United States Department of Agriculture
   (USDA); United States Forest Service; United States Department of the
   Interior; US Fish & Wildlife Service; Nature Conservancy; United States
   Department of Agriculture (USDA); United States Forest Service
RP Metlen, KL (corresponding author), Nature Conservancy, 647 Washington St, Ashland, OR 97520 USA.
EM kmetlen@tnc.org
FU Jackson County; Nature Conservancy; Rogue River-Siskiyou National
   Forest; Josephine County; Medford District Bureau of Land Management;
   Oregon Department of Forestry
FX The strategy described here builds on the visionary collaborative work
   nurtured in southwestern Oregon by numerous parties, including Ed
   Reilly, Blair Moody, George McKinley, and Jon Lamb. Critical technical
   work was provided by Chris Zanger, Derek Olson, Bryce Kellogg, and Aaron
   Jones. Invested partners participated in workshops and provided
   technological capabilities and critical advice. Funding from multiple
   sources contributed, including Jackson and Josephine Counties, Rogue
   River-Siskiyou National Forest, Medford District Bureau of Land
   Management, Oregon Department of Forestry, and The Nature Conservancy.
   The views expressed in this paper are those of the authors and do not
   represent official views or policies of the US Forest Service, Bureau of
   Land Management, or US Fish and Wildlife Service. The use of commercial
   product names is for reference only and does not constitute endorsement
   of those products. This manuscript benefited significantly from four
   anonymous reviews and the associate editor.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Ager AA, 2019, FOREST ECOL MANAG, V434, P99, DOI 10.1016/j.foreco.2018.12.003
   Ager AA, 2010, FOREST ECOL MANAG, V259, P1556, DOI 10.1016/j.foreco.2010.01.032
   [Anonymous], 2012, STRUCTURED DECISION, DOI DOI 10.1002/9781444398557
   [Anonymous], 2012, END THREAT WILDL PLA
   [Anonymous], 2011, REVISED RECOVERY PLA, pxvi
   [Anonymous], 2005, STANDARD FIRE BEHAV
   [Anonymous], 2015, PNWGTR911 PAC NW RES
   Aven T, 2018, Society for risk analysis glossary
   Ball I.R., 2000, MARXAN (V1.8.2): Marine Reserve Design Using Spatially Explicit Annealing
   Bottero A, 2017, J APPL ECOL, V54, P1605, DOI 10.1111/1365-2664.12847
   Bowman DMJS, 2011, J BIOGEOGR, V38, P2223, DOI 10.1111/j.1365-2699.2011.02595.x
   Buttrick S., 2015, CONSERVING NATURES S
   Cochrane MA, 2012, INT J WILDLAND FIRE, V21, P357, DOI 10.1071/WF11079
   Coop JD, 2020, BIOSCIENCE, V70, P659, DOI 10.1093/biosci/biaa061
   Coppoletta M, 2016, ECOL APPL, V26, P686, DOI 10.1890/15-0225
   Dalton MeghanM., 2013, Climate Change in the Northwest: Implications for Our Landscapes, Waters, and Communities
   Davis R.J., 2011, PNWGTR850 USDA PAC N
   Davis R, 2017, FOREST ECOL MANAG, V390, P173, DOI 10.1016/j.foreco.2017.01.027
   DellaSala DA, 1999, NAT AREA J, V19, P300
   DeMeo T, 2018, NORTHWEST SCI, V92, P18, DOI 10.3955/046.092.0104
   Dixon G.E., 2002, ESSENTIAL FVS USERS
   Dunk JR, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210643
   Ecosystem Workforce Program, 2015, SW OR REST EC IMP CA
   Finney MA, 2002, CAN J FOREST RES, V32, P1420, DOI 10.1139/X02-068
   Finney MA, 2001, FOREST SCI, V47, P219
   Finney MA, 2005, FOREST ECOL MANAG, V211, P97, DOI 10.1016/j.foreco.2005.02.010
   Finney M, 2009, FOREST SCI, V55, P249
   Finney MA, 2011, STOCH ENV RES RISK A, V25, P973, DOI 10.1007/s00477-011-0462-z
   Franklin J.F., 2018, ECOLOGICAL FOREST MA
   Fried JS, 2017, J FOREST, V115, P249, DOI 10.5849/jof.15-087
   Gilbertson-Day J., 2018, Pacific Northwest Quantitative Wildfire Risk Assessment: Methods and Results
   Golladay SW, 2016, FOREST ECOL MANAG, V360, P80, DOI 10.1016/j.foreco.2015.10.009
   Halofsky J. E., 2014, General Technical Report - Pacific Northwest Research Station, USDA Forest Service
   Halofsky J. E., 2020, CLIMATE CHANGE VULNE
   Haugo R, 2015, FOREST ECOL MANAG, V335, P37, DOI 10.1016/j.foreco.2014.09.014
   Haugo RD, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2702
   Hessburg PF, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00239
   Hessburg PF, 2016, FOREST ECOL MANAG, V366, P221, DOI 10.1016/j.foreco.2016.01.034
   Hessburg PF, 2015, LANDSCAPE ECOL, V30, P1805, DOI 10.1007/s10980-015-0218-0
   Higgs E, 2014, FRONT ECOL ENVIRON, V12, P499, DOI 10.1890/110267
   Huang CH, 2013, J ENVIRON MANAGE, V130, P221, DOI 10.1016/j.jenvman.2013.08.052
   Jenness J., 2006, Topographic Position Index (tpi_jen.avx) extension for ArcView 3.x, v.1.3 a.Jenness Enterprises
   Jewell S., 2014, The National Strategy: The Final Phase in the Development of the National Cohesive Wildland Fire Management Strategy
   Jones GM, 2016, FRONT ECOL ENVIRON, V14, P300, DOI 10.1002/fee.1298
   KIRKPATRICK S, 1983, SCIENCE, V220, P671, DOI 10.1126/science.220.4598.671
   Koontz MJ, 2020, ECOL LETT, V23, P483, DOI 10.1111/ele.13447
   Koontz TomasM., 2004, Collaborative Environmental Management, What Roles for Government?
   LANDFIRE, 2010, LANDFIRE 1 1 0 FUEL
   Law BE, 2004, GLOBAL CHANGE BIOL, V10, P1429, DOI 10.1111/j.1365-2486.2004.00822.x
   LEMMA, 2014, GRAD NEAR NEIGHB GNN
   Lesmeister Damon B., 2018, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, V1, P245
   Lesmeister DB, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2696
   Littell J.S., 2013, CLIMATE CHANGE NW IM, P110
   Littell JS, 2018, EARTHS FUTURE, V6, P1097, DOI 10.1029/2018EF000878
   Long JN, 2010, WEST J APPL FOR, V25, P96, DOI 10.1093/wjaf/25.2.96
   Long Jonathan, 2018, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, V3, P851
   Lydersen JM, 2017, ECOL APPL, V27, P2013, DOI 10.1002/eap.1586
   Maxwell CJ, 2020, J APPL ECOL, V57, P1328, DOI 10.1111/1365-2664.13630
   McWethy DB, 2019, NAT SUSTAIN, V2, P797, DOI 10.1038/s41893-019-0353-8
   Metlen K.L., 2017, ROGUE BASIN COHESIVE
   Metlen KL, 2018, FOREST ECOL MANAG, V430, P43, DOI 10.1016/j.foreco.2018.07.010
   Meyer MD, 2015, J FOREST, V113, P49, DOI 10.5849/jof.14-084
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   North M, 2015, J FOREST, V113, P40, DOI 10.5849/jof.14-058
   North MP, 2019, FOREST ECOL MANAG, V432, P209, DOI 10.1016/j.foreco.2018.09.007
   Oregon Department of Forestry, 2006, OR COMM RISK ASS
   Oregon Department of Forestry Western Forestry Leadership Coalition and Council of Western State Foresters, 2013, W WID WILDF RISK ASS
   Prichard SJ, 2020, ECOL APPL, V30, DOI 10.1002/eap.2104
   Prunicki M, 2019, J ALLERGY CLIN IMMUN, V143, pAB81
   Richter C, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2882
   Ricketts T., 1999, A conservation Assessment of the Terrestrial Ecoregions of North America, Volume I
   Roloff GJ, 2012, FOREST ECOL MANAG, V277, P1, DOI 10.1016/j.foreco.2012.04.015
   Schoennagel T, 2017, P NATL ACAD SCI USA, V114, P4582, DOI 10.1073/pnas.1617464114
   Schultz CA, 2018, FORESTS, V9, DOI 10.3390/f9090512
   Schweizer D, 2019, AIR QUAL ATMOS HLTH, V12, P87, DOI 10.1007/s11869-018-0633-x
   Scott J.H., 2018, Exposure of Human Communities to Wildfire in the Pacific Northwest
   Scott JH., 2013, Gen. Tech. Rep. RMRS-GTR-315, P83
   Scott JH, 2017, GEOJOURNAL, V82, P201, DOI 10.1007/s10708-015-9679-6
   Sensenig T, 2013, FOREST ECOL MANAG, V291, P96, DOI 10.1016/j.foreco.2012.11.006
   Serra-Diaz JM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24642-2
   Shive KL, 2013, FOREST ECOL MANAG, V297, P75, DOI 10.1016/j.foreco.2013.02.021
   Sneeuwjagt RJ, 2013, FIRE ECOL, V9, P14, DOI 10.4996/fireecology.0902014
   Spies Thomas A., 2018, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, V1, P95
   Spies TA, 2019, FRONT ECOL ENVIRON, V17, P511, DOI 10.1002/fee.2101
   Stephens SL, 2013, SCIENCE, V342, P41, DOI 10.1126/science.1240294
   Stephens SL, 2020, FRONT ECOL ENVIRON, V18, P354, DOI 10.1002/fee.2218
   Stevens JT, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1445
   Stevens JT, 2014, CAN J FOREST RES, V44, P843, DOI 10.1139/cjfr-2013-0460
   Tempel DJ, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00234.1
   Thompson M.P., GEN TECHNICAL REPORT
   Thompson MP, 2018, J FOREST, V116, P382, DOI 10.1093/jofore/fvy020
   Thompson MP, 2016, FORESTS, V7, DOI 10.3390/f7030064
   Thompson MP, 2015, ENVIRON MODELL SOFTW, V63, P61, DOI 10.1016/j.envsoft.2014.09.018
   Thompson MP, 2013, J FOREST, V111, P49, DOI 10.5849/jof.12-027
   Tubbesing CL, 2019, FOREST ECOL MANAG, V436, P45, DOI 10.1016/j.foreco.2019.01.010
   Tulloch VJD, 2015, FRONT ECOL ENVIRON, V13, P91, DOI 10.1890/140022
   US Fish and Wildlife Service, 2013, REC PLAN IMPL GUID I
   USDA Forest Service, 2018, FS1118 USDA FOR SERV
   Vander Schaaf Dick., 2004, Klamath Mountains ecoregional conservation assessment
   Vernon MJ, 2018, FOREST ECOL MANAG, V422, P190, DOI 10.1016/j.foreco.2018.03.043
   Walker B., 2004, Ecology and Society, V9, P5
   Waltz AEM, 2014, FOREST ECOL MANAG, V334, P43, DOI 10.1016/j.foreco.2014.08.026
   Young DJN, 2020, ECOL APPL, V30, DOI 10.1002/eap.2002
   Young DJN, 2017, ECOL LETT, V20, P78, DOI 10.1111/ele.12711
NR 105
TC 9
Z9 9
U1 2
U2 22
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 0045-5067
EI 1208-6037
J9 CAN J FOREST RES
JI Can. J. For. Res.
PD SEP
PY 2021
VL 51
IS 9
BP 1292
EP 1306
DI 10.1139/cjfr-2020-0480
PG 15
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA UL9VK
UT WOS:000692990000012
OA hybrid
DA 2025-01-10
ER

PT J
AU Yasin, HQ
   Breadsell, J
   Tahir, MN
AF Yasin, Hafiz Qaisar
   Breadsell, Jessica
   Tahir, Muhammad Naveed
TI Climate-water governance: a systematic analysis of the water sector
   resilience and adaptation to combat climate change in Pakistan
SO WATER POLICY
LA English
DT Article
DE Climate adaptation; Climate change; Climate governance; Policymaking;
   Resilience; Water governance
ID VULNERABILITY; MANAGEMENT; FRAMEWORK; CONFLICT; SECURITY; COOPERATION;
   POLICY; ASIA
AB Climate change and water security have become the most challenging global issues of this era, especially for developing countries like Pakistan. Amid many hindrances, poor governance has been identified as one of the most pressing reasons for ineffective action to tackle multifaceted and integrative climate-water issues in Pakistan. This article, therefore, applied a systematic literature review methodology to examine the current climate-water governance archetype, including key areas, major elements, critical gaps, and potential strategy in Pakistan. This study found that key climate-water governance areas in Pakistan are: river basin and watershed management, agriculture and irrigation management, urban and domestic water issues, floods, droughts and disaster management, groundwater management, and transboundary management. Moreover, it is revealed that the major governance elements are political commitment and leadership, policy formulation and regulation, institutional capacity and coordination, stakeholder engagement, and resource management, technology, and infrastructure development. The article also discusses how Pakistan has not effectively employed most of the identified governance elements to tackle its climate-water problems, lacking mostly in political, policy, institutional, coordination, and infrastructure aspects. In conclusion, a four-dimensional governance strategy, encompassing leadership, policy, institutions, and stakeholders is proposed to improve water sector resilience and adaptation to combat climate change in Pakistan.
C1 [Yasin, Hafiz Qaisar; Breadsell, Jessica] Curtin Univ, Sustainabil Policy Inst, Sch Design & Built Environm, Bentley, WA 6102, Australia.
   [Tahir, Muhammad Naveed] Govt Punjab, Dept Water Management, Lahore, Pakistan.
C3 Curtin University
RP Yasin, HQ (corresponding author), Curtin Univ, Sustainabil Policy Inst, Sch Design & Built Environm, Bentley, WA 6102, Australia.
EM qaisaruaf@yahoo.com
RI Tahir, Muhammad/F-2900-2015; Breadsell, Jessica/GLU-8702-2022;
   Sutherland (Breadsell), Jessica/H-9581-2016
OI Sutherland (Breadsell), Jessica/0000-0002-1124-7899
FU Department of Foreign Affairs and Trade (DFAT), Australia
FX The authors would like to thank staff members of the Curtin University
   Sustainability Policy Institute (CUSP) and the Agriculture Department,
   Government of Punjab, Pakistan, for their encouragement and support for
   this research. The first author also acknowledges the Australia Awards
   Scholarship provided by the Department of Foreign Affairs and Trade
   (DFAT), Australia that enabled him to study climate policy and
   sustainability and undertake this research.
CR Abbas A, 2016, J WATER CLIM CHANGE, V7, P621, DOI 10.2166/wcc.2016.002
   Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Ahmed Z, 2013, INT J DISAST RISK RE, V4, P15, DOI 10.1016/j.ijdrr.2013.03.003
   Akhter M, 2015, STRATEG ANAL, V39, P744, DOI 10.1080/09700161.2015.1090680
   Alam R, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123387
   Amin A, 2018, WATER-SUI, V10, DOI 10.3390/w10050537
   Amir P., 2015, ESTIMATING IMPACTS C
   [Anonymous], 2015, Arab Economic and Business Journal, DOI 10.1016/j.aebj.2014.05.007
   Anwar Arif A., 2018, Journal of Water Resources Planning and Management, V144, DOI 10.1061/(ASCE)WR.1943-5452.0000831
   Araral E, 2013, WATER RESOUR MANAG, V27, P3945, DOI 10.1007/s11269-013-0389-x
   Archer DR, 2010, HYDROL EARTH SYST SC, V14, P1669, DOI 10.5194/hess-14-1669-2010
   Asghar A, 2019, J WATER SUPPLY RES T, V68, P136, DOI 10.2166/aqua.2019.106
   Aslam H, 2018, WATER-SUI, V10, DOI 10.3390/w10040481
   Atef SS, 2019, J HYDROL, V570, P875, DOI 10.1016/j.jhydrol.2018.12.075
   Rahut DB, 2017, INT J DISAST RISK RE, V24, P515, DOI 10.1016/j.ijdrr.2017.05.006
   Basharat M, 2014, WATER POLICY, V16, P374, DOI 10.2166/wp.2013.221
   Bisht M, 2013, IDSA MONOGRAPH, V18
   Bott L. M., 2016, ASIENFORUM, V47, P179, DOI [10.11588/iaf.2016.47.3680., DOI 10.11588/IAF.2016.47.3680]
   Busby J, 2018, WORLD DEV, V112, P88, DOI 10.1016/j.worlddev.2018.07.007
   Condon M, 2014, WATER POLICY, V16, P58, DOI 10.2166/wp.2014.004
   Cooper R., 2018, WATER MANAGEMENT GOV
   Di Gregorio M, 2019, GLOBAL ENVIRON CHANG, V54, P64, DOI 10.1016/j.gloenvcha.2018.10.003
   Dormido H, 2019, BLOOMBERG
   Ebrahim T. Z, 2017, PAKISTAN PASSES CLIM
   Eckhardt D, 2019, INT J DISAST RISK RE, V33, P398, DOI 10.1016/j.ijdrr.2018.10.010
   Eckstein D., 2019, Germanwatch
   Elalem S, 2015, WEATHER CLIM EXTREME, V8, P46, DOI 10.1016/j.wace.2014.12.001
   Fahad S, 2020, ENVIRON SCI POLLUT R, V27, P1334, DOI 10.1007/s11356-019-06878-1
   Fan ShengGen Fan ShengGen, 2016, Pakistan Development Review, V55, P297
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Furlong C, 2015, WATER POLICY, V17, P46, DOI 10.2166/wp.2014.185
   Gazdar H., 2005, Economic and Political Weekly, V40, P813
   Gorst A, 2018, ENVIRON DEV ECON, V23, P679, DOI 10.1017/S1355770X18000232
   Grafton RQ, 2019, WATER-SUI, V11, DOI 10.3390/w11010137
   Hassan M, 2017, GEOFORUM, V82, P127, DOI 10.1016/j.geoforum.2017.04.003
   Iqbal K.M.J., 2018, POLICY PERSPECT, V15, P139, DOI [10.13169/polipers.15.3.0139, DOI 10.13169/POLIPERS.15.3.0139]
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Kalair A R., 2019, Water-Energy Nexus, V2, P10, DOI [10.1016/j.wen.2019.04.001, DOI 10.1016/J.WEN.2019.04.001]
   Karki MB, 2011, MT RES DEV, V31, P242, DOI 10.1659/MRD-JOURNAL-D-11-00017.1
   Khan I., 2017, 125 US I PEAC
   Khan MA, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5127-7
   Khan S. R, 2018, PAKISTANS TREE TSUNA
   Kirby M, 2017, AGR WATER MANAGE, V179, P34, DOI 10.1016/j.agwat.2016.06.001
   Laghari AN, 2012, HYDROL EARTH SYST SC, V16, P1063, DOI 10.5194/hess-16-1063-2012
   Lawrence A, 2015, AUST ACAD RES LIBR, V46, P229, DOI 10.1080/00048623.2015.1081712
   Lytton L., 2019, PAKISTAN GETTING MOR
   Mahmood N, 2019, SCI TOTAL ENVIRON, V688, P1275, DOI 10.1016/j.scitotenv.2019.06.266
   Malik SM, 2012, GLOBALIZATION HEALTH, V8, DOI 10.1186/1744-8603-8-31
   Memon JA, 2020, ENVIRON DEV SUSTAIN, V22, P4425, DOI 10.1007/s10668-019-00391-8
   Memon M. H., 2018, Pakistan Development Review, V57, P307, DOI 10.30541/v57i3pp.307-321
   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]
   Molden D, 2017, MT RES DEV, V37, P502, DOI 10.1659/MRD-JOURNAL-D-17-00108.1
   Mukhtar R, 2018, PROCEDIA ENGINEER, V212, P206, DOI 10.1016/j.proeng.2018.01.027
   Mumtaz M, 2018, EARTH SYST ENVIRON, V2, P525, DOI 10.1007/s41748-018-0062-x
   Murakami H, 2020, P NATL ACAD SCI USA, V117, P10706, DOI 10.1073/pnas.1922500117
   Mustafa D, 2010, 261 US I PEAC
   Mustafa D, 2013, 88 US I PEAC
   Neto S, 2018, WATER INT, V43, P60, DOI 10.1080/02508060.2018.1402650
   Newberg R. P, 2016, EXPLORING STATE VULN
   O'Brien A., 2016, SAGE Research Methods Cases, DOI [DOI 10.4135/978144627305015595381, 10.4135/978144627305015595381]
   OECD, 2018, OECD water governance Indicator framework in implementing the OECD Principles on Water Governance
   Özerol G, 2018, ECOL SOC, V23, DOI 10.5751/ES-10548-230443
   Paez Arsenio, 2017, J Evid Based Med, DOI [10.1111/jebm.12266, 10.1111/jebm.12265]
   Piesse M, 2015, STRATEGIC ANAL PAPER
   Potts R, 2020, J ENVIRON PLANN MAN, V63, P1356, DOI 10.1080/09640568.2019.1663723
   Qamar MU, 2018, WATER-SUI, V10, DOI 10.3390/w10040509
   Qureshi AS, 2011, MT RES DEV, V31, P252, DOI 10.1659/MRD-JOURNAL-D-11-00019.1
   Qureshi AS, 2010, WATER RESOUR MANAG, V24, P1551, DOI 10.1007/s11269-009-9513-3
   Rasul G., 2012, Pakistan journal of meteorology, V8
   Raza H, 2018, NAT HAZARDS, V91, P117, DOI 10.1007/s11069-017-3114-x
   Ringler C, 2013, WATER INT, V38, P505, DOI 10.1080/02508060.2013.832122
   Rosa L, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz6031
   Rueff H, 2015, ENVIRON SCI POLICY, V49, P85, DOI 10.1016/j.envsci.2014.08.014
   Sabri U. S. P., 2014, INT J SOCIAL QUALITY, V4, P78, DOI [10.3167/IJSQ.2014.040106, DOI 10.3167/IJSQ.2014.040106]
   Salik KM, 2016, REG STUD MAR SCI, V7, P185, DOI 10.1016/j.rsma.2016.06.008
   Salik KM, 2015, OCEAN COAST MANAGE, V112, P61, DOI 10.1016/j.ocecoaman.2015.05.006
   Salik N. A, 2017, COP21 PARIS PAKISTAN, V37, P74
   Sattar E., 2018, University of Michigan Journal of Law Reform, V51, P715, DOI [DOI 10.36646/MJLR.51.4.EVOLUTION, 10.1007/s00382-014-2183-8, DOI 10.1007/S00382-014-2183-8]
   Shah AA, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101341
   Shah AA, 2019, INT J DISAST RISK RE, V34, P165, DOI 10.1016/j.ijdrr.2018.11.014
   Shahid Z, 2016, WATER SCI TECHNOL LI, V72, P409, DOI 10.1007/978-3-319-28112-4_25
   Shahzad L, 2019, ENVIRON SCI POLLUT R, V26, P26748, DOI 10.1007/s11356-019-05880-x
   Shakeel Ahmad Shakeel Ahmad, 2017, Pure and Applied Biology, V6, P1132, DOI 10.19045/bspab.2017.600122
   Siddaway AP, 2019, ANNU REV PSYCHOL, V70, P747, DOI 10.1146/annurev-psych-010418-102803
   Sinharoy SS, 2019, UTIL POLICY, V60, DOI 10.1016/j.jup.2019.100957
   Sleet P, 2019, PAKISTAN NEEDS IMPRO
   Steenbergen V. F, 2015, J HYDROLOGY REGIONAL, V4, P36, DOI [10.1016/j.ejrh.2014.11.003, DOI 10.1016/J.EJRH.2014.11.003]
   Sultana H, 2009, CLIMATIC CHANGE, V94, P123, DOI 10.1007/s10584-009-9559-5
   UNEP, 2020, PAKISTAN SDG INDICAT
   Vaidya RA, 2015, INT J WATER RESOUR D, V31, P253, DOI 10.1080/07900627.2015.1020998
   Vallino E, 2020, ENVIRON SCI POLICY, V114, P73, DOI 10.1016/j.envsci.2020.07.017
   Victor D, 2014, ENVIRON SCI POLICY, V41, P63, DOI 10.1016/j.envsci.2014.03.005
   Vij S, 2017, ENVIRON SCI POLICY, V78, P58, DOI 10.1016/j.envsci.2017.09.007
   Wada Y, 2019, ONE EARTH, V1, P185, DOI 10.1016/j.oneear.2019.10.006
   Xiao Y, 2019, J PLAN EDUC RES, V39, P93, DOI 10.1177/0739456X17723971
   Xu JC, 2014, WIRES CLIM CHANGE, V5, P709, DOI 10.1002/wcc.302
   Yang YCE, 2014, J HYDROL, V519, P2527, DOI 10.1016/j.jhydrol.2014.08.055
   Zaheer L., 2016, J POLITICAL STUDIES, V23, P207
   Zawahri NA, 2009, WATER POLICY, V11, P1, DOI 10.2166/wp.2009.010
   Zhu TJ, 2013, WATER INT, V38, P651, DOI 10.1080/02508060.2013.830682
NR 101
TC 11
Z9 11
U1 7
U2 60
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1366-7017
EI 1996-9759
J9 WATER POLICY
JI Water Policy
PD FEB
PY 2021
VL 23
IS 1
BP 1
EP 35
DI 10.2166/wp.2020.113
PG 35
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA QK8TO
UT WOS:000620652700001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Elson, JL
   Turnbull, DM
   Howell, N
AF Elson, JL
   Turnbull, DM
   Howell, N
TI Comparative Genomics and the evolution of human mitochondrial DNA:
   Assessing the effects of selection
SO AMERICAN JOURNAL OF HUMAN GENETICS
LA English
DT Article
ID CODON-SUBSTITUTION MODELS; PHYLOGENETIC NETWORK; NONNEUTRAL EVOLUTION;
   REGION SEQUENCES; HUMAN MTDNA; DROSOPHILA; MUTATIONS; AFRICAN;
   POLYMORPHISM; POPULATIONS
AB This article provides evidence that selection has been a significant force during the evolution of the human mitochondrial genome. Both gene-by-gene and whole-genome approaches were used here to assess selection in the 560 mitochondrial DNA (mtDNA) coding-region sequences that were used previously for reduced-median-network analysis. The results of the present analyses were complex, in that the action of selection was not indicated by all tests, but this is not surprising, in view of the characteristics and limitations of the different analytical methods. Despite these limitations, there is evidence for both gene-specific and lineage-specific variation in selection. Whole-genome sliding-window approaches indicated a lack of selection in large-scale segments of the coding region. In other tests, we analyzed the ratio of nonsynonymous-to-synonymous substitutions in the 13 protein-encoding mtDNA genes. The most straightforward interpretation of those results is that negative selection has acted on the mtDNA during evolution. Single-gene analyses indicated significant departures from neutrality in the CO1, ND4, and ND6 genes, although the data also suggested the possible operation of positive selection on the AT6 gene. Finally, our results and those of other investigators do not support a simple model in which climatic adaptation has been a major force during human mtDNA evolution.
C1 MitoKor Inc, San Diego, CA 92121 USA.
   Newcastle Univ, Sch Med, Sch Neurol Neurobiol & Psychiat, Mitochondrial Res Grp, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   Univ Texas, Med Branch, Dept Radiat Oncol, Galveston, TX 77550 USA.
C3 Newcastle University - UK; University of Texas System; University of
   Texas Medical Branch Galveston
RP MitoKor Inc, 11494 Sorrento Valley Rd, San Diego, CA 92121 USA.
EM howelln@mitokor.com
OI /0000-0002-3551-5624
CR Ballard JWO, 2000, J MOL EVOL, V51, P64, DOI 10.1007/s002390010067
   Ballard JWO, 2000, J MOL EVOL, V51, P48, DOI 10.1007/s002390010066
   Excoffier L, 2002, CURR OPIN GENET DEV, V12, P675, DOI 10.1016/S0959-437X(02)00350-7
   Finnilä S, 2001, AM J HUM GENET, V68, P1475, DOI 10.1086/320591
   Gerber AS, 2001, ANNU REV GENET, V35, P539, DOI 10.1146/annurev.genet.35.102401.091106
   Grassly NC, 1997, MOL BIOL EVOL, V14, P239, DOI 10.1093/oxfordjournals.molbev.a025760
   Hasegawa M, 1998, MOL BIOL EVOL, V15, P1499, DOI 10.1093/oxfordjournals.molbev.a025877
   Herrnstadt C, 2003, AM J HUM GENET, V72, P1585, DOI 10.1086/375406
   Herrnstadt C, 2002, AM J HUM GENET, V70, P1152, DOI 10.1086/339933
   Howell N, 2003, AM J HUM GENET, V72, P659, DOI 10.1086/368264
   Kreitman M, 2000, ANNU REV GENOM HUM G, V1, P539, DOI 10.1146/annurev.genom.1.1.539
   Macaulay V, 1999, AM J HUM GENET, V64, P232, DOI 10.1086/302204
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Moilanen JS, 2003, MOL BIOL EVOL, V20, P2132, DOI 10.1093/molbev/msg230
   Moilanen JS, 2003, MOL BIOL EVOL, V20, P1195, DOI 10.1093/molbev/msg121
   Nachman MW, 1998, GENETICA, V102-3, P61, DOI 10.1023/A:1017030708374
   Nachman MW, 1996, GENETICS, V142, P953
   NACHMAN MW, 1994, P NATL ACAD SCI USA, V91, P6364, DOI 10.1073/pnas.91.14.6364
   Rand DM, 1996, MOL BIOL EVOL, V13, P735, DOI 10.1093/oxfordjournals.molbev.a025634
   Richards M, 2002, AM J HUM GENET, V71, P1168, DOI 10.1086/342930
   Rozas J, 1999, BIOINFORMATICS, V15, P174, DOI 10.1093/bioinformatics/15.2.174
   Salas A, 2002, AM J HUM GENET, V71, P1082, DOI 10.1086/344348
   Templeton AR, 1996, GENETICS, V144, P1263
   TORRONI A, 1994, J BIOENERG BIOMEMBR, V26, P261, DOI 10.1007/BF00763098
   Torroni A, 2001, AM J HUM GENET, V69, P1348, DOI 10.1086/324511
   Torroni A, 2001, AM J HUM GENET, V69, P844, DOI 10.1086/323485
   Weiss G, 2003, MOL BIOL EVOL, V20, P572, DOI 10.1093/molbev/msg073
   Wise CA, 1998, GENETICS, V148, P409
   Yang ZH, 2000, GENETICS, V155, P431
   Yang ZH, 2002, MOL BIOL EVOL, V19, P49, DOI 10.1093/oxfordjournals.molbev.a003981
   Zeng LW, 1998, GENETICA, V102-3, P369, DOI 10.1023/A:1017035109224
NR 31
TC 151
Z9 177
U1 0
U2 19
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
SN 0002-9297
EI 1537-6605
J9 AM J HUM GENET
JI Am. J. Hum. Genet.
PD FEB
PY 2004
VL 74
IS 2
BP 229
EP 238
DI 10.1086/381505
PG 10
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 772UM
UT WOS:000188860000004
PM 14712420
OA Green Published, Bronze, Green Accepted
DA 2025-01-10
ER

PT J
AU Hu, QS
   He, XR
AF Hu, Qiangsheng
   He, Xiaorong
TI An Integrated Approach to Evaluate Urban Adaptive Capacity to Climate
   Change
SO SUSTAINABILITY
LA English
DT Article
DE urban area; adaptive capacity; climate change; DPSIR; GRA
ID PROBLEM STRUCTURING METHOD; SUSTAINABLE DEVELOPMENT; VULNERABILITY;
   RESILIENCE; ADAPTATION; DPSIR; FRAMEWORK; IMPACTS; ENTROPY; ECOLOGY
AB Climate change and accelerated urbanization have posed severe challenges to urban development, resulting in a growing series of climate and environmental problems that have a significant impact on industrial production and urban life. In a developing country such as China, more than 57% of the population lives in urban areas. It is vital for these cities to adapt to climate-induced risks. A better understanding of how to improve adaptive capacity could enhance the ability to achieve a desirable state when the city experiences stress. This paper used an integrated approach for evaluating the urban adaptive capacity to climate change. It developed the evaluation index system of urban adaptive capacity (UAC) based on the driver-pressure-state-impact-response model (DPSIR), and adopted grey relational analysis (GRA) and the entropy method to analyze the level of UAC in Changsha, the capital city of Hunan Province, from 2006 to 2015. The results revealed that the UAC of Changsha showed a significant increase from 2006 to 2015. Among the five first-grade indicators, the response dimension had the greatest influence on the improvement of UAC. The study may provide suggestions for adaptive capacity building and sustainable development in other urban areas.
C1 [Hu, Qiangsheng; He, Xiaorong] Hunan Normal Univ, Tourism Coll, 36 Lushan Rd, Changsha 410081, Hunan, Peoples R China.
C3 Hunan Normal University
RP He, XR (corresponding author), Hunan Normal Univ, Tourism Coll, 36 Lushan Rd, Changsha 410081, Hunan, Peoples R China.
EM 201610130126@smail.hunnu.edu.cn; hxr@hunnu.edu.cn
RI Hu, Qiangsheng/JDM-4784-2023
FU Hunan Province Philosophy and Social Science Planning Fund Project
   [16ZWC68]; Hunan Science and Technology Innovation Decision Consultation
   and Soft Science Key Project [2017ZK3061]; Hunan Social Science
   Achievements Evaluation Committee Key Subject [XSP18ZDI007]
FX The authors wish to acknowledge the support of the Hunan Province
   Philosophy and Social Science Planning Fund Project (No. 16ZWC68), the
   Hunan Science and Technology Innovation Decision Consultation and Soft
   Science Key Project (No. 2017ZK3061), and the Hunan Social Science
   Achievements Evaluation Committee Key Subject (XSP18ZDI007). Dr. Min
   Jiang is acknowledged for constructive comments. The anonymous referees
   are acknowledged for their valuable comments.
CR Acosta L, 2013, GLOBAL ENVIRON CHANG, V23, P1211, DOI 10.1016/j.gloenvcha.2013.03.008
   ADDISCOTT TM, 1995, EUR J SOIL SCI, V46, P161, DOI 10.1111/j.1365-2389.1995.tb01823.x
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Allison HE, 2004, ECOL SOC, V9
   [Anonymous], GRAY THEORETICAL FDN
   [Anonymous], THESIS
   [Anonymous], 2007, ASSESSMENT ADAPTATIO
   [Anonymous], ENV IND TYP OV
   [Anonymous], Impacts, Adaptation, and Vulnerability
   [Anonymous], ADAPTATION CLIMATE C
   [Anonymous], 2011, WORLD URB PROSP 2011
   Araya-Munoz D, 2016, J ENVIRON MANAGE, V183, P314, DOI 10.1016/j.jenvman.2016.08.060
   Armitage D, 2005, ENVIRON MANAGE, V35, P703, DOI 10.1007/s00267-004-0076-z
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   Bell S, 2012, EUR J OPER RES, V222, P350, DOI 10.1016/j.ejor.2012.04.029
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Carr ER, 2007, INT J SUST DEV WORLD, V14, P543, DOI 10.1080/13504500709469753
   Chen M.Y, 1990, J HUAZHONG U SCI TEC, V18, P1
   Chen MP, 2015, CLIMATIC CHANGE, V128, P367, DOI 10.1007/s10584-014-1163-7
   Cohen S, 1998, GLOBAL ENVIRON CHANG, V8, P341, DOI 10.1016/S0959-3780(98)00017-X
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Deng J., 2005, PRIMARY METHODS GREY, P8
   Devitofrancesco A., 2016, P CENTR EUR SUST BUI, P499
   Easterling WilliamE., 2004, COPING GLOBAL CLIMAT
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Fu S., 2016, METEOROL SCI TECHNOL, V44, P991
   Gao M., 2017, Ecological Economics, V33, P142
   GOKLANY IM, 1995, CLIMATIC CHANGE, V30, P427, DOI 10.1007/BF01093855
   Gregory AJ, 2013, EUR J OPER RES, V227, P558, DOI 10.1016/j.ejor.2012.11.020
   Greiving S., 2011, ESPON Climate - Climate change and territorial effects on regions and local economies
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   IPCC, CLIM CHANG 2014 SYNT
   Juhola S, 2012, LOCAL ENVIRON, V17, P717, DOI 10.1080/13549839.2012.665861
   KIM D, 2016, SUSTAINABILITY-BASEL, V8, DOI DOI 10.3390/SU8040405
   Kristensen Peter., THE DPSIR FRAMEWORK
   Liang Wei Liang Wei, 2013, China Environmental Science, V33, P945
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   [罗悦 Luo Yue], 2017, [安徽农业大学学报, Journal of Anhui Agricultural University], V44, P302
   Mazzanti M, 2017, TECHNOL FORECAST SOC, V115, P111, DOI 10.1016/j.techfore.2016.09.026
   McCarthy J. J., 2001, CONTRIBUTION WORKING, P21
   Meenawat H, 2011, MITIG ADAPT STRAT GL, V16, P515, DOI 10.1007/s11027-010-9277-3
   Modica M, 2016, WEB ECOL, V16, P59, DOI 10.5194/we-16-59-2016
   Montanari A., 2017, CALC VAR PARTIAL DIF, P1
   Mortreux C., 2017, WILEY INTERDISCIPL R, V8, P467
   Ness B, 2010, GEOFORUM, V41, P479, DOI 10.1016/j.geoforum.2009.12.005
   Orley C., 2012, THESIS
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Pelling M, 2011, ECOL SOC, V16
   Pickett S. T. A., 2013, RESILIENCE ECOLOGY U
   Qin D., 2015, CHINA NATL ASSESSMEN, P182
   Resilience A., URBAN RESILIENCE RES
   Schauser I., 2010, 201012 ETC ACC
   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
   Song W., 2017, MOD AGR TECHNOL, V19, P188
   Steinborn W, 2000, ECOL MODEL, V133, P247, DOI 10.1016/S0304-3800(00)00323-9
   Thywissen K., 2006, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies, P448
   Wall E, 2006, LOCAL ENVIRON, V11, P373, DOI 10.1080/13549830600785506
   [王才军 WANG Caijun], 2011, [水土保持研究, Research of Soil and Water Conservation], V18, P218
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Xie X., 2016, URBAN ENV STUD, V4, P50
   [张凤太 ZHANG Fengtai], 2008, [生态学杂志, Chinese Journal of Ecology], V27, P1249
   Zhang J., 2011, J ANHUI AGR SCI, V39, P5459
   Zhang Q.S., 1996, SYS ENG THEORY PRACT, V8, P8
   [周梅华 Zhou Meihua], 2003, [系统工程理论与实践, Systems Engineering-Theory & Practice], V23, P25
NR 76
TC 19
Z9 19
U1 7
U2 54
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2018
VL 10
IS 4
AR 1272
DI 10.3390/su10041272
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 GJ3IY
UT WOS:000435188000376
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Balsells, M
   Barroca, B
   Amdal, JR
   Diab, Y
   Becue, V
   Serre, D
AF Balsells, M.
   Barroca, B.
   Amdal, J. R.
   Diab, Y.
   Becue, V.
   Serre, D.
TI Analysing urban resilience through alternative stormwater management
   options: application of the conceptual Spatial Decision Support System
   model at the neighbourhood scale
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article
DE DS3 model; neighbourhood scale; stormwater management system; urban
   resilience
AB Recent changes in cities and their environments, caused by rapid urbanisation and climate change, have increased both flood probability and the severity of flooding. Consequently, there is a need for all cities to adapt to climate and socio-economic changes by developing new strategies for flood risk management. Following a risk paradigm shift from traditional to more integrated approaches, and considering the uncertainties of future urban development, one of the main emerging tasks for city managers becomes the development of resilient cities. However, the meaning of the resilience concept and its operability is still not clear. The goal of this research is to study how urban engineering and design disciplines can improve resilience to floods in urban neighbourhoods. This paper presents the conceptual Spatial Decision Support System (DS3) model which we consider a relevant tool to analyse and then implement resilience into neighbourhood design. Using this model, we analyse and discuss alternative stormwater management options at the neighbourhood scale in two specific areas: Rotterdam and New Orleans. The results obtained demonstrate that the DS3 model confirmed in its framework analysis that stormwater management systems can positively contribute to the improved flood resilience of a neighbourhood.
C1 [Balsells, M.; Becue, V.] Univ Mons, Fac Architecture & Urbanisme, B-7000 Mons, Belgium.
   [Barroca, B.; Diab, Y.] Univ Paris Est, LEESU, Dept Genie Urbain, F-77455 Marne La Vallee 2, France.
   [Amdal, J. R.] Univ New Orleans, Transportat Inst, New Orleans, LA 70148 USA.
   [Balsells, M.; Diab, Y.] Univ Paris Est, Ecole Ingn Ville Paris, F-75019 Paris, France.
   [Serre, D.] RECUE Solut, F-92220 Bagneux, France.
   [Serre, D.] Univ Paris Diderot Sorbonne Paris, Interdisciplinary Energy Res Inst, Paris 7, France.
C3 University of Mons; Universite Paris-Est-Creteil-Val-de-Marne (UPEC);
   Institut Polytechnique de Paris; Ecole des Ponts ParisTech; Universite
   Gustave-Eiffel; University of Louisiana System; University of New
   Orleans; Universite Gustave-Eiffel
RP Balsells, M (corresponding author), Univ Mons, Fac Architecture & Urbanisme, Pl Parc 23, B-7000 Mons, Belgium.
EM mireia.balsells@umons.ac.be
RI Barroca, Bruno/ABF-5436-2020
OI BARROCA, Bruno/0000-0001-6653-0803; serre, damien/0000-0002-2902-2989
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], THESIS DELFT U TECHN
   Barroca B., 2012, CONCEPT RESILIENCE E
   Campanella Richard., 2006, GEOGRAPHIES NEW ORLE
   Chammah E., 2007, ROTTERDAM WATER CITY
   Colten C. E., 2008, 3 CARRI, P1
   De Brujin KM, 2005, THESIS DELFT U TECHN
   De Graaf R., 2013, EFFECTIVENESS FLOOD
   De Graaf RE, 2009, Ph.D. Thesis
   Galland J. P., 2010, FLUX, V81, P6
   Heilemann K., 2013, IDENTIFICATION ANAL, P3
   Khaimi D, 2012, LAND USE POLICY, V30, P615
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Meyer Han., 2009, Dutch Dialogues: New Orleans, Netherlands; Common Challenges in Urbanized Deltas
   Sajaloli B., 2011, REV GEOGRAPHIQUE EST, V51
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Serre D., 2011, THESIS PARIS EST U, P173
   Serre D., 2013, RESILIENCE URBAN RIS, P189
   Toubin M., 2012, RESILIENCE URBAINE N
NR 19
TC 23
Z9 26
U1 6
U2 79
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 0273-1223
EI 1996-9732
J9 WATER SCI TECHNOL
JI Water Sci. Technol.
PY 2013
VL 68
IS 11
BP 2448
EP 2457
DI 10.2166/wst.2013.527
PG 10
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 276HN
UT WOS:000328740600018
PM 24334895
DA 2025-01-10
ER

PT J
AU Bremer, S
   Meisch, S
   Hempel, M
   Dunn-Sigouin, E
AF Bremer, Scott
   Meisch, Simon
   Hempel, Manuel
   Dunn-Sigouin, Etienne
TI Adapting seasonal beekeeping patterns in western Norway
SO TIME & SOCIETY
LA English
DT Article; Early Access
DE beekeeping; climate adaptation; governance; institutions; seasonality;
   temporal frameworks
ID CLIMATE-CHANGE; TEMPORALITY; KNOWLEDGES
AB This paper is about how Western Norway beekeepers synchronise their practices to perceived patterns of seasonal rhythms and adapt their timings and ways of working as they sense shifts in these rhythmic seasonal patterns associated with climatic and environmental (and social) change. It contributes to work on adaptation governance with an emphasis on the time sensitivity of adaptive action in institutions - the importance of taking the right action at the right time - and that this timing is coordinated at the convergence of multiple temporalities across human and more-than-human worlds, within temporal assemblages. The research was conducted in close collaboration with beekeepers over the 2021/2022 seasons and found them to be temporally literate practitioners that are capable of gauging shifts in temporalities, drawing on diverse temporal frameworks (both formal and informal), and recalibrating. Recalibration came both in small incremental micro-manoeuvres to maintain synchrony in a seasonal pattern, or collective efforts to fundamentally adapt or reconfiguring seasonal patterns when patterns fail to 'hold'. From this perspective, the paper centres and elevates temporal synchronisation in adaption, with attention to the institutionalised capacity of temporally competent practitioners to make use of and recraft the cultural frameworks governing timings.
C1 [Bremer, Scott; Meisch, Simon; Dunn-Sigouin, Etienne] Univ Bergen, Ctr Study Sci & Humanities, Postboks 7805, N-5020 Bergen, Norway.
   [Meisch, Simon; Dunn-Sigouin, Etienne] Univ Tubingen, Int Ctr Eth Sci & Humanities IZEW, Tubingen, Germany.
   [Hempel, Manuel] NORCE Norwegian Res Ctr, Bjerknes Ctr Climate Res, Bergen, Norway.
   [Hempel, Manuel] Univ Bergen, Dept Geog, Syst Dynam Grp, Bergen, Norway.
C3 University of Bergen; Eberhard Karls University of Tubingen; Bjerknes
   Centre for Climate Research; Norwegian Research Centre (NORCE);
   University of Bergen
RP Bremer, S (corresponding author), Univ Bergen, Ctr Study Sci & Humanities, Postboks 7805, N-5020 Bergen, Norway.
EM scott.bremer@uib.no
RI Bremer, Scott/Q-6524-2017
OI Meisch, Simon/0000-0003-3388-2305
FU Climate Futures project - Norwegian Research Council [309562]; CANALS
   project - Marie Sklodowska-Curie Individual Fellowship under the EU
   Horizon 2020 research and innovation programme [895008]; CALENDARS
   project - European Research Council (ERC) [804150]; Marie Curie Actions
   (MSCA) [895008] Funding Source: Marie Curie Actions (MSCA)
FX The authors disclosed receipt of the following financial support for the
   research, author-ship, and publication of this article: This work was
   supported by the Climate Futures project funded by the Norwegian
   Research Council (grant number: 309562); the CANALS project funded by a
   Marie Sklodowska-Curie Individual Fellowship under the EU Horizon 2020
   research and innovation programme (grant number: 895008); and the
   CALENDARS project funded by the European Research Council (ERC) under
   the European Union's Horizon 2020 research and innovation programme
   (grant number:804150)
CR Adam Barbara., 2005, Timescapes of modernity: The environment and invisible hazards, DOI DOI 10.4324/9780203981382
   Andrews E., 2022, Rethinking Food System Transformation, P241
   Arnall A, 2015, GLOBAL ENVIRON CHANG, V31, P199, DOI 10.1016/j.gloenvcha.2015.01.011
   Bastian Michelle., 2012, Environmental Philosophy, V9, P23, DOI DOI 10.5840/ENVIROPHIL2012913
   Bennett Tony, 2012, DYNAMICS SOCIAL PRAC, DOI DOI 10.4135/9781446250655
   Birth K, 2013, TIME SOC, V22, P216, DOI 10.1177/0961463X11408251
   Blue S, 2019, TIME SOC, V28, P922, DOI 10.1177/0961463X17702165
   Bourdieu Pierre., 1977, CAMBRIDGE STUDIES SO, DOI [10.1017/CBO9780511812507, DOI 10.1017/CBO9780511812507]
   Bowden V, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101939
   Brace C, 2011, PROG HUM GEOG, V35, P284, DOI 10.1177/0309132510376259
   Bremer S., 2024, Changing Seasonality: How Communities are Revising their Seasons
   Bremer S, 2024, GLOBAL ENVIRON CHANG, V85, DOI 10.1016/j.gloenvcha.2024.102822
   Bremer S, 2024, NAT CLIM CHANGE, V14, P8, DOI 10.1038/s41558-023-01899-8
   Bremer S, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.739
   Denzin N.K., 1978, SOCIOLOGICAL METHODS
   Frick-Trzebitzky F., 2023, Geographica Helvetica, V78, P397
   Gan E, 2018, SOC ANAL, V62, P102, DOI 10.3167/sa.2018.620406
   Hastrup K, 2016, ANTHROPOLOGY AND CLIMATE CHANGE: FROM ACTIONS TO TRANSFORMATIONS, 2ND EDITION, P35
   Hatfield SC, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0136-6
   Hempel M., 2023, Changing Seasonality: How Communities Are Reviving Their Seasons, P181
   Hofseth A., 2018, NRK Beta
   Hoover SE., 2014, Beekeeping for Poverty Alleviation and Livelihood Security, P463
   Ingold Tim., 2000, The Perception of the Environment: Essays on Livelihood, Dwelling, and Skill
   Jordheim H, 2021, TIME SOC, V30, P402, DOI 10.1177/0961463X211012507
   Jupille Joseph., 2022, Theories of Institutions
   Krause F, 2013, ETHNOS, V78, P23, DOI 10.1080/00141844.2011.623303
   Lamont M, 2014, QUAL SOCIOL, V37, P153, DOI 10.1007/s11133-014-9274-z
   Landaverde R, 2023, INSECTS, V14, DOI 10.3390/insects14060493
   Lareau Annette., 2021, LISTENING PEOPLE PRA
   Lefebvre Henri., 1999, RETHINKING MARXISM J, V11, P5
   Lehébel-Péron A, 2016, J RURAL STUD, V44, P132, DOI 10.1016/j.jrurstud.2016.01.005
   Maderson S, 2016, J RURAL STUD, V45, P88, DOI 10.1016/j.jrurstud.2016.02.015
   McKemey M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030995
   McNeeley SM, 2011, GLOBAL ENVIRON CHANG, V21, P464, DOI 10.1016/j.gloenvcha.2011.02.003
   Meisch SP, 2022, FUTURES, V135, DOI 10.1016/j.futures.2021.102868
   Oppermann E, 2020, GEOFORUM, V108, P275, DOI 10.1016/j.geoforum.2019.09.012
   Penn HJF, 2016, WEATHER CLIM SOC, V8, P435, DOI 10.1175/WCAS-D-15-0061.1
   Phillips C, 2020, GEOFORUM, V108, P315, DOI 10.1016/j.geoforum.2019.08.018
   Scott WR, 2014, MANAGEMENT, V17, P136, DOI 10.3917/mana.172.0136
   Sharma S., 2014, In the meantime: Temporality and cultural politics
   SWIDLER A, 1986, AM SOCIOL REV, V51, P273, DOI 10.2307/2095521
   Teebken J, 2023, WEATHER CLIM SOC, V15, P95, DOI 10.1175/WCAS-D-22-0003.1
   Tsing AL, 2015, MUSHROOM AT THE END OF THE WORLD: ON THE POSSIBILITY OF LIFE IN CAPITALIST RUINS, P1, DOI 10.1515/9781400873548
   Vercelli M, 2021, INSECTS, V12, DOI 10.3390/insects12030228
   Whipp R., 2002, Making time: Time and management in modern organizations
   Zerubavel E., 1981, HIDDEN RHYTHMS
NR 46
TC 0
Z9 0
U1 3
U2 3
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0961-463X
EI 1461-7463
J9 TIME SOC
JI Time Soc.
PD 2024 SEP 2
PY 2024
DI 10.1177/0961463X241275003
EA SEP 2024
PG 28
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA E5Q0I
UT WOS:001303534700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Mulagha-Maganga, A
   Chiwaula, LS
   Kambewa, P
   Ngaiwi, ME
AF Mulagha-Maganga, Assa
   Chiwaula, Levison S.
   Kambewa, Patrick
   Ngaiwi, Mary E.
TI A Ricardian analysis of the economic impacts of climate change on
   agricultural production in the low-income agrarian economy: Estimates
   from Malawi's 2010-2019 LSMS longitudinal data
SO JOURNAL OF AGRICULTURE AND FOOD RESEARCH
LA English
DT Article
DE Climate change; Agriculture; Impacts; Adaptation
ID STOCHASTIC FRONTIER; TECHNICAL EFFICIENCY; ADAPTATION; AFRICA; RICE;
   PRECIPITATION; DETERMINANTS; STRATEGIES; GROWERS
AB Quantifying the economic impacts of extreme climate scenarios on agriculture at a country level is important, informing the formulation of tailored adaptation policies and sustainable livelihoods. This study examined the current and potential economic impacts of climate change on Malawi's agriculture using Ricardian analysis based on a four-year World Bank's Living Standards Measurement Survey (LSMS) panel data from 1,246 farming households. The marginal impact analysis was conducted for temperature and rainfall. The study then predicted the impact of climate scenarios on net revenue up to the year 2099. The results revealed that more warming will negatively affect agriculture returns on the one hand, while more precipitation will generate gains on the other hand. An ensemble of Global Circulation Models' simulation affirms that impacts from global warming will be more important than those from precipitation change. The impacts are non-neutral to production efficiency with technically efficient farmers having moderate impacts in magnitude relative to inefficient farmers. With strategic climate adaptation choices, results show the potential to abate some of the damages and enhance positive gains from future climate change.
C1 [Mulagha-Maganga, Assa] Lilongwe Univ Agr & Nat Resources, African Ctr Excellency Agr Policy Anal, POB 219, Lilongwe, Malawi.
   [Chiwaula, Levison S.] MwAPATA Inst, Chilanga Dr,Area 10-446,POB 30883 Capital City, Lilongwe, Malawi.
   [Mulagha-Maganga, Assa; Chiwaula, Levison S.; Kambewa, Patrick] Univ Malawi, Chancellor Coll, Dept Econ, POB 280, Zomba, Malawi.
   [Ngaiwi, Mary E.] Alliance Biovers Int & CIAT, Cali, Colombia.
   [Mulagha-Maganga, Assa] Everest Intelligence Consult, 182 Ntcheu, Lilongwe, Malawi.
C3 Lilongwe University of Agriculture & Natural Resources; University of
   Malawi
RP Mulagha-Maganga, A (corresponding author), Lilongwe Univ Agr & Nat Resources, African Ctr Excellency Agr Policy Anal, POB 219, Lilongwe, Malawi.
EM amaganga@luanar.ac.mw
OI NGAIWI, MARY/0000-0003-2373-4536
CR ADAMS RM, 1995, CLIMATIC CHANGE, V30, P147, DOI 10.1007/BF01091839
   Adenle AA, 2017, ECOL ECON, V141, P190, DOI 10.1016/j.ecolecon.2017.06.004
   Aigner D., 1977, J. Econ., V6, P21, DOI [DOI 10.1016/0304-4076(77)90052-5, 10.1016/0304-4076(77)90052-5]
   Ali I, 2019, J INTEGR AGR, V18, P2408, DOI 10.1016/S2095-3119(19)62743-7
   Ali U, 2021, J CLEAN PROD, V308, DOI 10.1016/j.jclepro.2021.127219
   Amadu FO, 2020, FOOD POLICY, V92, DOI 10.1016/j.foodpol.2020.101869
   Anang BT, 2021, J AGR FOOD RES, V4, DOI 10.1016/j.jafr.2021.100149
   [Anonymous], 2013, Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience
   Arellano M., 2003, Panel Data Econometrics
   Arshad M, 2018, ECOL INDIC, V89, P496, DOI 10.1016/j.ecolind.2017.12.014
   Atiah WA, 2022, Q J ROY METEOR SOC, V148, P185, DOI 10.1002/qj.4199
   Ayugi B, 2022, NAT HAZARDS, V113, P1151, DOI 10.1007/s11069-022-05341-8
   Baltagi B.H., 2005, Econometric Analysis of Panel Data, V3rd edition
   Bandara JS, 2014, ECON ANAL POLICY, V44, P451, DOI 10.1016/j.eap.2014.09.005
   Boonwichai S, 2019, SCI TOTAL ENVIRON, V652, P189, DOI 10.1016/j.scitotenv.2018.10.201
   Chalise S, 2017, ECON MODEL, V62, P43, DOI 10.1016/j.econmod.2017.01.014
   Darzi-Naftchali A, 2019, THEOR APPL CLIMATOL, V135, P1, DOI 10.1007/s00704-017-2355-7
   Derbile EK., 2022, Environ Chall, V8, P100537, DOI DOI 10.1016/J.ENVC.2022.100537
   Deressa T. T., 2007, Policy Research Working Paper - World Bank
   Dhifaoui Z, 2023, J ENVIRON MANAGE, V326, DOI 10.1016/j.jenvman.2022.116789
   Dinar A., 1998, Measuring the impact of climate change on Indian agriculture, DOI [DOI 10.1596/0-8213-4192-8, 10.1596/0-8213-4192-8]
   Dosio A, 2019, CLIM DYNAM, V53, P5833, DOI 10.1007/s00382-019-04900-3
   Egeru A, 2019, CLIMATE, V7, DOI 10.3390/cli7030035
   Etwire PM, 2020, AGR SYST, V179, DOI 10.1016/j.agsy.2019.102773
   Fousekis P, 2003, FISH RES, V63, P85, DOI 10.1016/S0165-7836(03)00019-5
   Gbetibouo GA, 2005, GLOBAL PLANET CHANGE, V47, P143, DOI 10.1016/j.gloplacha.2004.10.009
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hossain MS, 2022, J CLEAN PROD, V338, DOI 10.1016/j.jclepro.2022.130584
   Hossain MS, 2019, INT J CLIM CHANG STR, V11, P424, DOI 10.1108/IJCCSM-04-2018-0030
   Hsiao C, 1997, J AM STAT ASSOC, V92, P455, DOI 10.2307/2965693
   Huong NTL., 2018, J SAUDI SOC AGR SCI, DOI [DOI 10.1016/J.JSSAS.2018.02.006, 10.1016/j.jssas.2018.02.006]
   IPCC, 2001, Adaptation to Climate Change in the Context of Sustainable Development and Equity, P877
   Jain S., 2007, Policy Research Working Papers
   Jawid A, 2020, J ASIAN ECON, V67, DOI 10.1016/j.asieco.2020.101177
   Kadji S.T., 2006, Climate Change and Variability in Sahel Region. Impacts and Adaptation Strategies in Agriculture Sector
   Khanal U, 2018, CLIMATIC CHANGE, V147, P507, DOI 10.1007/s10584-018-2168-4
   Kiwia A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102891
   Kumbhakar SC, 2006, J ECONOMETRICS, V133, P71, DOI 10.1016/j.jeconom.2005.03.010
   Liu H, 2004, CLIMATIC CHANGE, V65, P125, DOI 10.1023/B:CLIM.0000037490.17099.97
   Livingston G., 2011, IFAD C NEW DIRECTION
   Maganga A., 2018, 2018 C, DOI [10.22004/ag.econ.277350, DOI 10.22004/AG.ECON.277350]
   Maganga A.M., 2017, Beyond Agricultural Impacts, P39, DOI [10.1016/B978-0-12-812624-0.00003, DOI 10.1016/B978-0-12-812624-0.00003]
   Mendelsohn R, 1999, WORLD BANK RES OBSER, V14, P277, DOI 10.1093/wbro/14.2.277
   Mendelsohn R, 1996, AM ECON REV, V86, P1312
   Molua EL, 2022, RURAL SOC, V31, P115, DOI 10.1080/10371656.2022.2086223
   Molua EL, 2009, GLOBAL PLANET CHANGE, V67, P205, DOI 10.1016/j.gloplacha.2009.02.006
   Mutsvangwa E.P, 2011, Climate Change and Vulnerability to Food Insecurity Among Smallholder Farmers: A Case Study of Gweru and Lupane Districts in Zimbabwe
   Nerlove Marc., 2005, Essays in Panel Data Econometrics
   Ngaiwi ME, 2023, SCI AFR, V19, DOI 10.1016/j.sciaf.2022.e01498
   Nordhagen S, 2013, WORLD DEV, V43, P238, DOI 10.1016/j.worlddev.2012.08.002
   Ojo TO, 2021, J CLEAN PROD, V310, DOI 10.1016/j.jclepro.2021.127373
   Onyekuru NA, 2016, AGR FOREST METEOROL, V220, P10, DOI 10.1016/j.agrformet.2016.01.001
   Pangapanga PI, 2012, INT J DISAST RISK RE, V2, P57, DOI 10.1016/j.ijdrr.2012.08.002
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Polsky C, 2004, ANN ASSOC AM GEOGR, V94, P549, DOI 10.1111/j.1467-8306.2004.00413.x
   Rabbany MG, 2021, EMIR J FOOD AGR, V33, P501, DOI 10.9755/ejfa.2021.v33.i6.2714
   Rabbany MG, 2022, ENVIRON SCI POLLUT R, V29, P444, DOI 10.1007/s11356-021-15458-1
   Rana J., 2021, SN Bus. Econom., V1, DOI [10.1007/s43546-021-00172-4, DOI 10.1007/S43546-021-00172-4]
   SAKA J.D.K., 2012, Southern African Agriculture and Climate Change: A Comprehensive Analysis-Malawi
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Shakhawat Hossain M, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106181
   Shakhawat Hossain M, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.106354
   Siddig K, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106566
   Taylor K.E., 2012, An Overview of CMIP5 and the Experiment Design, DOI [DOI 10.1175/BAMS-D-11-00094.1, 10.1175/BAMS-D-11-00094.1.]
   Ullah S, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105122
   UNFCCC, 2006, WORKSHOP ADAPTATION
   Verbeek M., 2004, GUIDE MODERN ECONOME, V2nd
   Warnatzsch EA, 2019, SCI TOTAL ENVIRON, V654, P378, DOI 10.1016/j.scitotenv.2018.11.098
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   Zhang YQ, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159482
NR 71
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-1543
J9 J AGR FOOD RES
JI J. Agric. Food Res.
PD MAR
PY 2024
VL 15
AR 100995
DI 10.1016/j.jafr.2024.100995
EA FEB 2024
PG 11
WC Agriculture, Multidisciplinary; Food Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Food Science & Technology
GA KM1K7
UT WOS:001180290100001
OA gold
DA 2025-01-10
ER

PT J
AU Mayer, J
   Memmel, M
   Ruf, J
   Patel, D
   Hoff, L
   Henninger, S
AF Mayer, Julia
   Memmel, Martin
   Ruf, Johannes
   Patel, Dhruv
   Hoff, Lena
   Henninger, Sascha
TI Progressing towards Estimates of Local Emissions from Trees in Cities: A
   Transdisciplinary Framework Integrating Available Municipal Data, AI,
   and Citizen Science
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE urban tree cadastre; deep learning; data quality; AI; open source; urban
   planning; urban data; citizen science; local emissions; microclimate
AB Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise GPS locations of urban trees. Deep learning models using aerial imagery identify trees, while other applications employ street view imagery and LIDAR data to collect additional attributes, such as height and crown width. A web application encourages citizen participation in adding features like species and improving datasets for further model training. The initiative aims to minimize resource-intensive maintenance conducted by local administrations, integrate additional features, and improve data quality. Its primary goal is to create transferable AI models utilizing aerial imagery and LIDAR data that can be applied in regions with similar tree populations. The approach includes tree clusters and private trees, which are essential for assessing allergy and ozone potential but are usually not recorded in municipal tree cadastres. The paper highlights the potential of improving tree cadastres for effective urban planning in a transdisciplinary approach, taking into account climate change, health, and public engagement.
C1 [Mayer, Julia; Memmel, Martin; Ruf, Johannes; Patel, Dhruv] German Res Ctr Artificial Intelligence DFKI GmbH, Trippstadter Str 112, D-67663 Kaiserslautern, Germany.
   [Hoff, Lena; Henninger, Sascha] Univ Kaiserslautern Landau, Dept Spatial & Environm Planning, Phys Geog & Didact, Pfaffenbergstr 95, D-67663 Kaiserslautern, Germany.
C3 German Research Center for Artificial Intelligence (DFKI)
RP Mayer, J (corresponding author), German Res Ctr Artificial Intelligence DFKI GmbH, Trippstadter Str 112, D-67663 Kaiserslautern, Germany.; Henninger, S (corresponding author), Univ Kaiserslautern Landau, Dept Spatial & Environm Planning, Phys Geog & Didact, Pfaffenbergstr 95, D-67663 Kaiserslautern, Germany.
EM julia.mayer@dfki.de; martin.memmel@dfki.de; johannes.ruf@dfki.de;
   d_patel@rptu.de; lena.hoff@rptu.de; sascha.henninger@rptu.de
CR Albert L., 2022, Mobility, Knowledge and Innovation Hubs in Urban and Regional Development, Proceedings of the REAL CORP 2022, 27th International Conference on Urban Development, Regional Planning and Information Society, Vienna, Austria, 1416 November 2022, P427, DOI [10.48494/REALCORP2022.7061, DOI 10.48494/REALCORP2022.7061]
   Apel K, 2004, ANNU REV PLANT BIOL, V55, P373, DOI 10.1146/annurev.arplant.55.031903.141701
   Deur M, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233926
   Franze T, 2005, ENVIRON SCI TECHNOL, V39, P1673, DOI 10.1021/es0488737
   Fröhlich-Nowoisky J, 2009, P NATL ACAD SCI USA, V106, P12814, DOI 10.1073/pnas.0811003106
   George IJ, 2010, NAT CHEM, V2, P713, DOI [10.1038/nchem.806, 10.1038/NCHEM.806]
   GUENTHER AB, 1991, J GEOPHYS RES-ATMOS, V96, P10799, DOI 10.1029/91JD00960
   Henninger S., 2014, Urban Environment-Proceedings of the 11th Urban Environment Symposium (UES), Karlsruhe, Germany, 1619 September 2012, P153, DOI [10.1007/978-94-007-7756-9_13, DOI 10.1007/978-94-007-7756-9_13]
   Landesamt fur Vermessung und Geobasisinformation Rheinland-Pfalz, GDI-RP
   Li SZ, 2023, PNAS NEXUS, V2, DOI 10.1093/pnasnexus/pgad076
   Metz M., 2023, P TAG FOSSGIS K BERL, P161, DOI [10.5281/zenodo.7573277, DOI 10.5281/ZENODO.7573277]
   Open Knowledge Foundation, Deutschland e.V
   Open Street Map Wiki Contributors OpenStreetMap Wiki, DE:Tag:natural=tree
   Ronneberger O, 2015, LECT NOTES COMPUT SC, V9351, P234, DOI 10.1007/978-3-319-24574-4_28
   Shiraiwa M, 2011, NAT CHEM, V3, P291, DOI 10.1038/NCHEM.988
   Technologiestiftung Berlin, Giess den Kiez
   Venkatachari P, 2008, J AEROSOL SCI, V39, P168, DOI 10.1016/j.jaerosci.2007.11.003
   Ventura J, 2024, Arxiv, DOI [arXiv:2208.10607, DOI 10.48550/ARXIV.2208.10607]
   Weinstein BG, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11111309
   Welle T, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14143330
   Yang RR, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214426
NR 21
TC 0
Z9 0
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD JAN
PY 2024
VL 14
IS 1
AR 396
DI 10.3390/app14010396
PG 15
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA EM1T6
UT WOS:001139259300001
OA gold
DA 2025-01-10
ER

PT J
AU Han, WQ
AF Han, Weiqun
TI Analyzing the scale dependent effect of urban building morphology on
   land surface temperature using random forest algorithm
SO SCIENTIFIC REPORTS
LA English
DT Article
ID HEAT-ISLAND; ZONES
AB With continuous urban densification, revealing impacts of urban structures on thermal environment is necessary for climate adaptive design. In this study, random forest and partial difference plots were employed to depict the relative importance and interdependent effects of complex building morphology to land surface temperature (LST) variability. The six spatial factors of building density (BD), mean building height (MBH), building height difference (BHD), floor area ratio (FAR), building volume density (BVD) and mean compactness factor (MCF) were calculated at grids of 90, 300, 600 and 900 m. The results showed that BD, MCF and MBH exerted stable and significant impacts on LST with the highest prediction accuracy at 600 m neighborhood scale, and FAR and BVD were the least correlated to LST changes. Meanwhile, the influencing factors presented different correlation patterns with LST. Among them, the increase of BD had a positive linear effect on LST. MCF and MBH were nonlinearly correlated with the LST variation, and their threshold values of cooling effect were also identified. In addition to controlling BD, it also suggested that comprehensively arranging more small-volume buildings as well as increasing building height to enlarge shadow coverage were more conducive to ground heat mitigation.
C1 [Han, Weiqun] Wuhan Donghu Univ, Sch Management, N301,Wenhua Ave, Wuhan 430212, Peoples R China.
C3 Wuhan Donghu University
RP Han, WQ (corresponding author), Wuhan Donghu Univ, Sch Management, N301,Wenhua Ave, Wuhan 430212, Peoples R China.
EM Hanwq@wdu.edu.cn
CR Abdel-Rahman EM, 2014, ISPRS J PHOTOGRAMM, V88, P48, DOI 10.1016/j.isprsjprs.2013.11.013
   Abdulla-Al Kafy, 2022, BUILD ENVIRON, V217, DOI 10.1016/j.buildenv.2022.109066
   [Anonymous], 2014, WORLD URBANIZATION P, DOI [10.4054/DemRes.2005.12.9, DOI 10.4054/DEMRES.2005.12.9, 10.4054/demres.2005.12.9]
   Berger C, 2017, REMOTE SENS ENVIRON, V193, P225, DOI 10.1016/j.rse.2017.02.020
   Cao Q, 2021, BUILD ENVIRON, V192, DOI 10.1016/j.buildenv.2021.107635
   da Silva FT, 2022, SCI TOTAL ENVIRON, V814, DOI 10.1016/j.scitotenv.2021.152670
   Du SH, 2022, BUILD ENVIRON, V213, DOI 10.1016/j.buildenv.2022.108860
   Golany GS, 1996, ATMOS ENVIRON, V30, P455, DOI 10.1016/1352-2310(95)00266-9
   Han DR, 2023, BUILD ENVIRON, V231, DOI 10.1016/j.buildenv.2023.110053
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Li HF, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108132
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Liu H, 2008, ENVIRON MONIT ASSESS, V144, P199, DOI 10.1007/s10661-007-9979-5
   Liu XQ, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101091
   Liu YX, 2018, LANDSCAPE URBAN PLAN, V180, P36, DOI 10.1016/j.landurbplan.2018.08.006
   Liu YH, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102767
   Rodriguez MV, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104228
   Sobrino JA, 2004, REMOTE SENS ENVIRON, V90, P434, DOI 10.1016/j.rse.2004.02.003
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Tian YY, 2019, LANDSCAPE ECOL, V34, P1161, DOI 10.1007/s10980-019-00834-7
   van Hove LWA, 2015, BUILD ENVIRON, V83, P91, DOI 10.1016/j.buildenv.2014.08.029
   Wang Q, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103722
   Wang YC, 2021, URBAN FOR URBAN GREE, V59, DOI 10.1016/j.ufug.2021.127015
   Xu HC, 2023, BUILD ENVIRON, V233, DOI 10.1016/j.buildenv.2023.110085
   Yang YB, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010057
   Yuan C, 2011, ARCHIT SCI REV, V54, P305, DOI 10.1080/00038628.2011.613644
   Zhang L, 2022, BUILD ENVIRON, V226, DOI 10.1016/j.buildenv.2022.109785
   Zhang Q, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102288
   Zhang XM, 2017, SUSTAIN CITIES SOC, V32, P557, DOI 10.1016/j.scs.2017.05.005
   Zhao JC, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103927
   Zheng Z, 2019, PHYS CHEM EARTH, V110, P149, DOI 10.1016/j.pce.2019.01.008
   Zhou R, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164098
NR 32
TC 7
Z9 8
U1 13
U2 28
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD NOV 7
PY 2023
VL 13
IS 1
AR 19312
DI 10.1038/s41598-023-46437-w
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA X9DH0
UT WOS:001101369900084
PM 37935725
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wang, T
   Liu, BS
   Liu, SM
   Zhang, K
   Ma, MY
AF Wang, Tao
   Liu, Bingsheng
   Liu, Shimeng
   Zhang, Kuan
   Ma, Mingyue
TI A Two-Stage Investment Decision-Making Model for Urban Rail Transit
   Drainage Renovation
SO SYSTEMS
LA English
DT Article
DE climate change; urban rail transit; optimal renovation sequence; optimal
   investment timing
ID FLOOD RISK; REAL; UNCERTAINTY; SELECTION; NETWORKS
AB Climate change is the main cause of frequent extreme weather and natural disasters. Therefore, effective climate adaptation strategies for urban rail transit (URT) should be adopted to cope with extreme precipitation events (EPEs). This study proposes a decision-making model based on climate change for drainage renovation, which consists of an optimal renovation sequence model and an optimal investment timing model. This study analyzes the inundation risk of each station and its node importance in the URT network and then uses a multi-attribute decision analysis (MADA) to determine the optimal renovation sequence. This study also uses a real options pricing approach to calculate the value of an option in order to defer the renovation project and determine the optimal investment timing. Then, the Beijing Urban Rail Transit (BURT) is taken as an example to conduct an empirical analysis of the proposed model. Considering the uncertainty of climate change and the complexity of the URT network, the model can obtain the optimal renovation sequence and the investment timing of each station, which is expected to provide a decision-making tool for urban governments to formulate an optimal plan that strengthens the prevention of flooding disasters.
C1 [Wang, Tao; Liu, Bingsheng; Zhang, Kuan] Chongqing Univ, Sch Publ Policy, Chongqing 400044, Peoples R China.
   [Liu, Bingsheng; Liu, Shimeng] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
   [Ma, Mingyue] Minist Publ Secur China, Res Inst Rd Safety, Beijing 100062, Peoples R China.
C3 Chongqing University; Tianjin University; Ministry of Public Security
   (China)
RP Ma, MY (corresponding author), Minist Publ Secur China, Res Inst Rd Safety, Beijing 100062, Peoples R China.
EM wangtaothu@163.com; bluesea_boy_1979@163.com; liushimeng0610@163.com;
   zk0116@foxmail.com; mmy1986@foxmail.com
OI Wang, Tao/0000-0002-8367-8946
CR Antonino V., 2022, INT J TRANSP DEV INT, V3, P283
   Balliauw M, 2019, TRANSPORT REV, V39, P531, DOI 10.1080/01441647.2018.1556228
   BTI, 2021, 2021 Beijing transport development annual report.
   Chen P, 2012, INT J ENV RES PUB HE, V9, P2057, DOI 10.3390/ijerph9062057
   Dawson DA, 2018, ECOL ECON, V150, P1, DOI 10.1016/j.ecolecon.2018.03.027
   Dottori F, 2018, NAT CLIM CHANGE, V8, P781, DOI 10.1038/s41558-018-0257-z
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Francesco R., 2021, SAF SECUR ENG, V206, P255
   Gao YL, 2013, TRANSPORT RES B-METH, V55, P23, DOI 10.1016/j.trb.2013.04.004
   Guo S, 2015, APPL ENERG, V158, P390, DOI 10.1016/j.apenergy.2015.08.082
   Hapuarachchi HAP, 2011, HYDROL PROCESS, V25, P2771, DOI 10.1002/hyp.8040
   Kottayi NM, 2019, J INFRASTRUCT SYST, V25, DOI 10.1061/(ASCE)IS.1943-555X.0000494
   Li M, 2019, IEEE ACCESS, V7, P71221, DOI 10.1109/ACCESS.2019.2919105
   Li ZC, 2015, TRANSPORT RES B-METH, V78, P318, DOI 10.1016/j.trb.2015.05.006
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Nian GY, 2019, TRANSPORTMETRICA A, V15, P1402, DOI 10.1080/23249935.2019.1599080
   Oluah C, 2020, ENERG BUILDINGS, V217, DOI 10.1016/j.enbuild.2020.109967
   Reckien D, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf07a
   Russo F., 2011, WIT T BUILT ENV, V116, P639
   Truong C, 2016, EUR J OPER RES, V253, P856, DOI 10.1016/j.ejor.2016.01.044
   van den Honert RC, 2016, RESOURCES-BASEL, V5, DOI 10.3390/resources5030028
   von Ferber C, 2009, EUR PHYS J B, V68, P261, DOI 10.1140/epjb/e2009-00090-x
   Wang T, 2019, PROD OPER MANAG, V28, P2699, DOI 10.1111/poms.13074
   Xiao YB, 2017, TRANSPORT RES B-METH, V100, P93, DOI 10.1016/j.trb.2017.02.001
   Xie ZQ, 2018, SCI CHINA EARTH SCI, V61, P1341, DOI 10.1007/s11430-017-9212-8
   Yeo K. T., 2003, International Journal of Project Management, V21, P243, DOI 10.1016/S0263-7863(02)00025-X
NR 26
TC 0
Z9 0
U1 5
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2079-8954
J9 SYSTEMS-BASEL
JI Systems-Basel
PD JUN
PY 2023
VL 11
IS 6
AR 280
DI 10.3390/systems11060280
PG 19
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA K3TY0
UT WOS:001015708800001
OA gold
DA 2025-01-10
ER

PT B
AU Pena, M
   McConney, P
   Simmons, B
   Blackman, K
AF Pena, Maria
   McConney, Patrick
   Simmons, Bertha
   Blackman, Katherine
BE Joseph, DD
   Doon, RA
TI The Challenging Climate for Women in Caribbean Fisheries-From Seaweed to
   Seafood, and Practice to Policy
SO IMPACT OF CLIMATE CHANGE ON VULNERABLE POPULATIONS: Social Responses to
   a Changing Environment
LA English
DT Article; Book Chapter
ID ADAPTIVE CAPACITY; GENDER
AB While scholars agree that Caribbean small-scale fisheries should be managed as social-ecological systems, the domination of natural science over social science is staggering. This inequity is reflected in gender analysis of impacts of climate change and variability on women in fisheries. There is little information on how climate impacts women's livelihoods and leadership in Caribbean fisheries. Most data concern the marine environment and male-dominated harvest sector. We set out to learn more about climate impacts on, and climate adaptation by, women in fisheries, including how fisheries climate science could incorporate gender mainstreaming. Over the past three years, a transdisciplinary team has assembled sets of mainly qualitative data to address these issues, mainly through interviews and interactive workshops with women and men in the fishing industries and organizations of Caribbean countries. The challenges women face due to climate are diverse and include influxes of sargassum seaweed that change species composition and abundance in catches of seafood. Women not only deal with challenges in their livelihoods and households, but also in becoming fisherfolk leaders who influence and engage policy. This chapter examines such challenges and offers ideas for improvement in the context of gender mainstreaming.
C1 [Pena, Maria] Univ West Indies UWI, Ctr Resource Management & Environm Studies CERMES, Cave Hill Campus, Cave Hill, Barbados.
   [Pena, Maria; McConney, Patrick; Simmons, Bertha; Blackman, Katherine] CERMES Reg Gender Fisheries Team GIFT, Cave Hill, Barbados.
   [McConney, Patrick] Univ West Indies UWI, Ctr Resource Management & Environm Studies CERMES, Marine Resource Management Planning, Cave Hill Campus, Cave Hill, Barbados.
C3 University West Indies Mona Jamaica; University West Indies Cave Hill
   Campus; University West Indies Mona Jamaica; University West Indies Cave
   Hill Campus
RP Pena, M (corresponding author), Univ West Indies UWI, Ctr Resource Management & Environm Studies CERMES, Cave Hill Campus, Cave Hill, Barbados.; Pena, M (corresponding author), CERMES Reg Gender Fisheries Team GIFT, Cave Hill, Barbados.
FU United Nations Food and Agriculture Organization (FAO)
FX The authors wish to acknowledge the support of the United Nations Food
   and Agriculture Organization (FAO) provided for some of the research
   presented in this publication.
CR Allison EH, 2001, MAR POLICY, V25, P377, DOI 10.1016/S0308-597X(01)00023-9
   Alonso-Poblacion E., 2018, FAO Fisheries and Aquaculture Circular No. 1159
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   [Anonymous], 2015, Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication
   Biswas Nilanjana, 2017, Support of the Implementation of the Voluntary Guidelines for Securing Sustainable Small-scale Fisheries in the Context of Food Security and Poverty Eradication
   Burton Donovan, 2016, Collaboration and Partnerships for Adaptation
   CERMES, 2020, Project Report to FAO
   Cinner JE, 2015, NAT CLIM CHANGE, V5, P872, DOI 10.1038/NCLIMATE2690
   Cohen PJ, 2016, AMBIO, V45, pS309, DOI 10.1007/s13280-016-0831-4
   Cox Shelly-Ann., 2021, Project Report to FAO
   CRFM, 2020, CRFM Special Publication, V26, P27
   CRFM, 2021, CRFM Statistics and Information Report 2020, P91
   CRFM, 2020, Technical & Advisory Document, No. 2020/ 06, P69
   Dasig SMM, 2020, GEND TECHNOL DEV, V24, P10, DOI 10.1080/09718524.2020.1728158
   de Lanlay DB, 2022, ENVIRON TOXICOL PHAR, V94, DOI 10.1016/j.etap.2022.103894
   ECLAC, 2019, Mainstreaming Gender in Climate Change and Disaster Risk Reduction in the Caribbean
   Frangoudes K, 2019, MARIT STUD, V18, P241, DOI 10.1007/s40152-019-00159-w
   Franz Nicole, 2014, Strengthening Organizations and Collective Action in Fisheries-A Way Forward in Implementing the International Guidelines for Securing Sustainable Small-Scale Fisheries, P105
   Galappaththi M, 2022, FISH FISH, V23, P1099, DOI 10.1111/faf.12672
   GIFT, 2018, CERMES Technical Report No. 86
   IDB, 2020, IDB Technical Note 2064
   Johnson DR, 2020, GULF CARIBB RES, V31, pGCFI20, DOI 10.18785/gcr.3101.15
   Kabeer N, 1999, DEV CHANGE, V30, P435, DOI 10.1111/1467-7660.00125
   Kleiber D, 2015, FISH FISH, V16, P547, DOI 10.1111/faf.12075
   McClanahan T.R., 2012, Adapting to a Changing Environment: Confronting the Consequences of Climate Change
   McConney P., 2003, BARBADOS CASE STUDY
   McConney P., 2021, J. Caribb. Environ. Sci. Renew. Energy, V3, P10, DOI [10.33277/cesare/003.002/02, DOI 10.33277/CESARE/003.002/02]
   McConney Patrick., 2007, CRFM Technical and Advisory Document No. 2007/2
   McConney Patrick, 2019, Journal of Eastern Caribbean Studies, V44, P202
   Morrow K, 2017, ROUT INT HANDB, P398
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Oxenford H.A., 2017, Science Review, P83
   Oxenford HA, 2021, PHYCOLOGY-BASEL, V1, P27, DOI 10.3390/phycology1010003
   Pena M, 2020, GEND TECHNOL DEV, V24, P28, DOI 10.1080/09718524.2020.1729538
   Pena Maria, 2019, Women in Fisheries 2019 Forum: Summary Report
   Pena Maria, 2020, Securing Sustainable Small-scale Fisheries: Showcasing Applied Practices in Value Chains, Post-harvest Operations and Trade, P23
   Pena Maria, 2021, Project Report to FAO
   Perch Leisa, 2020, CERMES Project Report to FAO Ecosystem Approach to Fisheries implementation in the North Brazil Shelf Large Marine Ecosystem
   Revelo Lorena A., 2021, Gender Affairs Series, V159
   Romeo Clonesha, 2022, CERMES Technical Report No 105
   Salguero-Velázquez A, 2022, MARIT STUD, V21, P363, DOI 10.1007/s40152-022-00276-z
   Siles J., 2019, Advancing Gender in the Environment: Gender in Fisheries - A Sea of Opportunities
   Simmons Bertha, 2022, CERMES Technical Report No 106
   Skliris N, 2022, OCEAN DYNAM, V72, P383, DOI 10.1007/s10236-022-01511-1
   Solano N, 2021, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.617965
   Sturgeon N, 2017, ROUT INT HANDB, pXXI
   Torre J, 2019, MARIT STUD, V18, P373, DOI 10.1007/s40152-019-00153-2
   Tovar-Restrepo M, 2017, ROUT INT HANDB, P412
   Turner R, 2020, COAST MANAGE, V48, P436, DOI 10.1080/08920753.2020.1795970
   UNDP, 2018, Women as Environmental Stewards: The Experience of the Global Environment Facility Small Grants Programme
   Wang MQ, 2019, SCIENCE, V365, P83, DOI 10.1126/science.aaw7912
NR 51
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST. ALBAN-ANLAGE 66, BASEL, CH-4052, SWITZERLAND
BN 978-3-0365-5503-4; 978-3-0365-5504-1
PY 2023
BP 126
EP 145
D2 10.3390/books978-3-0365-5503-4
PG 20
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 BW9OE
UT WOS:001216317700010
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Kettle, NP
   Trainor, SF
   Loring, PA
AF Kettle, Nathan P.
   Trainor, Sarah F.
   Loring, Philip A.
TI Conceptualizing the Science-Practice Interface: Lessons from a
   Collaborative Network on the Front-Line of Climate Change
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE science-practice interface; networks; climate adaptation; social network
   analysis; Alaska
ID SOCIAL NETWORKS; CENTRALITY MEASURES; ADAPTATION; INFORMATION; MANAGERS;
   POLICY; ROLES; COPRODUCTION; RESILIENCE; STABILITY
AB The gap between science and practice is widely recognized as a major concern in the production and application of decision-relevant science. This research analyzed the roles and network connections of scientists, service providers, and decision makers engaged in climate science and adaptation practice in Alaska, where rapid climate change is already apparent. Our findings identify key actors as well as significant differences in the level of bonding ties between network members who perceive similarity in their social identities, bridging ties between network members across different social groups, and control of information across roles all of which inform recommendations for adaptive capacity and the co-production of usable knowledge. We also find that some individuals engage in multiple roles in the network suggesting that conceptualizing science policy interactions with the traditional categories of science producers and consumers oversimplifies how experts engage with climate science, services, and decision making. Our research reinforces the notion that the development and application of knowledge is a networked phenomenon and highlights the importance of centralized individuals capable of playing multiple roles in their networks for effective translation of knowledge into action.
C1 [Kettle, Nathan P.] Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK 99775 USA.
   [Kettle, Nathan P.; Trainor, Sarah F.] Alaska Ctr Climate Assessment & Policy, Fairbanks, AK 99709 USA.
   [Trainor, Sarah F.] Univ Alaska Fairbanks, Sch Nat Resources & Extens, Fairbanks, AK USA.
   [Loring, Philip A.] Univ Saskatchewan, Sch Environm & Sustainabil, Saskatoon, SK, Canada.
C3 University of Alaska System; University of Alaska Fairbanks; University
   of Alaska System; University of Alaska Fairbanks; University of
   Saskatchewan
RP Kettle, NP (corresponding author), Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK 99775 USA.; Kettle, NP (corresponding author), Alaska Ctr Climate Assessment & Policy, Fairbanks, AK 99709 USA.
EM nkettle@alaska.edu
RI Loring, Philip/I-1716-2019
FU National Oceanic and Atmospheric Administration's Climate Program Office
   [NA11OAR4310141]; Alaska Climate Science Center - U.S. Geological Survey
   [G10AC00588]
FX This research was supported by the National Oceanic and Atmospheric
   Administration's Climate Program Office (Award NA11OAR4310141) and the
   Alaska Climate Science Center (funded by Cooperative Agreement
   G10AC00588 from the U.S. Geological Survey). Its contents are solely the
   responsibility of the authors and do not necessarily represent the
   official views of neither NOAA nor the USGS.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawala S, 2001, SCI TECHNOL HUM VAL, V26, P454, DOI 10.1177/016224390102600404
   Alaska State Legislature, 2008, FIN COMM REP STAT AL, P125
   [Anonymous], 2010, ADV SCI CLIMATE CHAN
   [Anonymous], 2010, Alaska's climate change strategy: addressing impacts in Alaska, P94
   [Anonymous], DYNAMIC TYPOLOGY STA
   [Anonymous], 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   [Anonymous], 2007, The Honest Broker: Making Sense of Science in Policy and Politics
   [Anonymous], 2010, INF EFF RESP CLIM CH
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   BAGOZZI RP, 1975, J MARKETING, V39, P32, DOI 10.2307/1250593
   Bordieu P., 1997, Outline of a theory of practice
   Borgatti S. P., 1998, Connections, V21, P27
   Borgatti SP, 2006, SOC NETWORKS, V28, P124, DOI 10.1016/j.socnet.2005.05.001
   Burt RS, 2000, RES ORGAN BEHAV, V22, P345, DOI 10.1016/S0191-3085(00)22009-1
   Burt RS, 2004, AM J SOCIOL, V110, P349, DOI 10.1086/421787
   Caputo J., 1997, Deconstruction in a nutshell. A conversation with Jacques Derrida
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chapin F.S., 2014, The Third National Climate Assessment, P514, DOI DOI 10.7930/J00Z7150
   Corlew LK, 2015, PSYCHOSOC INTERV, V24, P133, DOI 10.1016/j.psi.2015.07.004
   Costenbader E, 2003, SOC NETWORKS, V25, P283, DOI 10.1016/S0378-8733(03)00012-1
   Crona BI, 2011, SCI COMMUN, V33, P448, DOI 10.1177/1075547011408116
   Cunningham R, 2016, CLIM POLICY, V16, P894, DOI 10.1080/14693062.2015.1052955
   Dávid B, 2002, QUAL QUANT, V36, P291, DOI 10.1023/A:1016080606287
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dow K, 2013, REG ENVIRON CHANGE, V13, P1235, DOI 10.1007/s10113-013-0440-8
   Ferguson DB., 2016, Climate in context: Science and Society Partnering for Adaptation, P215
   Firat A.F., 1993, International Journal of Research in Marketing, V10, P227, DOI DOI 10.1016/0167-8116(93)90009-N
   Fischer AP, 2014, SOC NATUR RESOUR, V27, P671, DOI 10.1080/08941920.2014.901463
   GALASKIEWICZ J, 1991, SOC NETWORKS, V13, P347, DOI 10.1016/0378-8733(91)90002-B
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Humphreys A, 2008, SOCIOL COMPASS, V2, P963, DOI 10.1111/j.1751-9020.2008.00112.x
   IAWG, 2009, 162 IAWG, P162
   Kasperson R.E., 2011, Integrating Science and Policy: Vulnerability and Resilience in Global Environmental Change
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   Kettle NP, 2015, CLIM RISK MANAG, V9, P6, DOI 10.1016/j.crm.2015.06.006
   Kettle NP, 2014, ENVIRON SCI POLICY, V44, P279, DOI 10.1016/j.envsci.2014.08.013
   Knapp CN, 2015, POLAR GEOGR, V38, P42, DOI 10.1080/1088937X.2014.999844
   Knapp CN, 2013, GLOBAL ENVIRON CHANG, V23, P1296, DOI 10.1016/j.gloenvcha.2013.07.007
   KRAMER M, 1992, ANIM BEHAV, V44, P833, DOI 10.1016/S0003-3472(05)80579-2
   Laumann E. O., 1989, Research Methods in Social Network Analysis, P61, DOI DOI 10.1504/IJTM.2016.075162
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Loring PA, 2016, HUM ECOL, V44, P119, DOI 10.1007/s10745-015-9800-y
   Markon C.J., 2012, The United States National Climate Assessment- Alaska Technical Regional Report
   Marks SR, 1996, J MARRIAGE FAM, V58, P417, DOI 10.2307/353506
   McPherson M, 2001, ANNU REV SOCIOL, V27, P415, DOI 10.1146/annurev.soc.27.1.415
   Melillo JM., 2014, CLIMATE CHANGE IMPAC, V841
   Merluzzi J, 2013, SOC NETWORKS, V35, P331, DOI 10.1016/j.socnet.2013.03.004
   Miles EL, 2006, P NATL ACAD SCI USA, V103, P19616, DOI 10.1073/pnas.0609090103
   Moody J, 2009, AM BEHAV SCI, V52, P1491, DOI 10.1177/0002764209331523
   Newig J, 2010, ECOL SOC, V15
   Oh HS, 2004, ACAD MANAGE J, V47, P860, DOI 10.5465/20159627
   Owen G, 2012, WEATHER CLIM SOC, V4, P90, DOI 10.1175/WCAS-D-11-00038.1
   Parris A., 2016, CLIMATE IN CONTEXT
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Porter M.E., 1985, CREATING SUSTAINING
   Prell C., 2012, SOCIAL NETWORK ANAL
   Pullin AS, 2009, J APPL ECOL, V46, P970, DOI 10.1111/j.1365-2664.2009.01704.x
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Smith JW, 2012, RURAL SOCIOL, V77, P380, DOI 10.1111/j.1549-0831.2012.00082.x
   SNAP, 2016, COMM CHARTS
   Spruijt P, 2016, ENVIRON SCI POLICY, V59, P44, DOI 10.1016/j.envsci.2016.02.003
   Szreter S, 2004, INT J EPIDEMIOL, V33, P650, DOI 10.1093/ije/dyh013
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Vargo SL, 2004, J MARKETING, V68, P1, DOI 10.1509/jmkg.68.1.1.24036
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Walters Carl, 1997, Conservation Ecology, V1, pUnpaginated
   Welp M, 2006, GLOBAL ENVIRON CHANG, V16, P170, DOI 10.1016/j.gloenvcha.2005.12.002
   WMO, 2011, CLIM KNOWL ACT GLOB, P240
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
   Znidarsic A, 2012, SOC NETWORKS, V34, P438, DOI 10.1016/j.socnet.2012.02.002
NR 74
TC 25
Z9 28
U1 0
U2 7
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.
PY 2017
VL 5
AR 33
DI 10.3389/fenvs.2017.00033
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA VI0HN
UT WOS:000458352900031
OA gold
DA 2025-01-10
ER

PT J
AU Li, YC
   Zhao, RK
   Wang, Y
AF Li, Yuechen
   Zhao, Rongkun
   Wang, Yue
TI Mapping Ratoon Rice Fields Based on SAR Time Series and Phenology Data
   in Cloudy Regions
SO REMOTE SENSING
LA English
DT Article
DE ratoon rice; phenology; Sentinel-1A; cloudy and foggy regions; Yongchuan
   district
ID GREENHOUSE-GAS EMISSIONS; CROP; SENTINEL-1A; MANAGEMENT; GROWTH; MAP
AB Ratoon rice (RR) has emerged as an active adaptation to climate uncertainty, stabilizing total paddy rice yield and effectively reducing agriculture-related ecological environmental issues. However, identifying key remote sensing parameters for RR under cloudy and foggy conditions is challenging, and existing RR monitoring methods in these regions face significant uncertainties. Here, given the sensitivity of synthetic aperture radar (SAR) backscattering signals to the crop phenological period, this paper introduces a threshold model utilizing Sentinel-1A SAR data and phenological information for mapping RR. The Yongchuan District of Chongqing, which is often cloudy and foggy, was selected as a specific study region where VH-polarized backscatter coefficients of Sentinel-1 images were obtained at 10 m spatial resolution in 2020. Based on the proposed threshold model, the RR extraction overall accuracy was up to 90.24%, F1 score was 0.92, and Kappa coefficient was 0.80. Further analysis showed that the extracted RR boundaries exhibited high consistency with true Sentinel-2 remote sensing images and the RR extracted area was in good agreement with the actual planted area situation. This threshold model demonstrated good applicability in the studied cloudy and foggy region, and successfully distinguished RR from other paddy rice types. The methodological framework established in this study provides a basis for extensive application in China and other significant RR-producing regions globally.
C1 [Li, Yuechen; Zhao, Rongkun; Wang, Yue] Southwest Univ, Chongqing Jinfo Mt Natl Field Sci Observat & Res S, Chongqing Engn Res Ctrr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China.
   [Li, Yuechen; Wang, Yue] Minist Nat Resources, Key Lab Monitoring & Evaluat & Early Warning Terr, Chongqing 401147, Peoples R China.
C3 Southwest University - China; Ministry of Natural Resources of the
   People's Republic of China
RP Wang, Y (corresponding author), Southwest Univ, Chongqing Jinfo Mt Natl Field Sci Observat & Res S, Chongqing Engn Res Ctrr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China.; Wang, Y (corresponding author), Minist Nat Resources, Key Lab Monitoring & Evaluat & Early Warning Terr, Chongqing 401147, Peoples R China.
EM liyuechen@swu.edu.cn; zrk1998@email.swu.edu.cn;
   wwyue1998@email.swu.edu.cn
FU Natural Science Foundation of Chongqing [CSTB2022NSCQ-MSX0442];
   Fundamental Research Funds for the Central Universities [SWU021003]
FX This study was supported by the Natural Science Foundation of Chongqing
   (project No. CSTB2022NSCQ-MSX0442) and the Fundamental Research Funds
   for the Central Universities (project No. SWU021003).
CR Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Aziz MA, 2023, APPL GEOMAT, V15, P407, DOI 10.1007/s12518-023-00501-2
   Bauer-Marschallingere B, 2019, IEEE T GEOSCI REMOTE, V57, P520, DOI 10.1109/TGRS.2018.2858004
   Belgiu M, 2018, REMOTE SENS ENVIRON, V204, P509, DOI 10.1016/j.rse.2017.10.005
   Cai YT, 2019, ADV SPACE RES, V64, P2233, DOI 10.1016/j.asr.2019.08.042
   Chen YP, 2024, J INTEGR AGR, V23, P1164, DOI 10.1016/j.jia.2023.05.035
   Dong HL, 2017, FIELD CROP RES, V208, P55, DOI 10.1016/j.fcr.2017.04.003
   Nguyen DB, 2016, REMOTE SENS LETT, V7, P1209, DOI 10.1080/2150704X.2016.1225172
   Gao Y., 2021, Masters Thesis
   Gómez C, 2016, ISPRS J PHOTOGRAMM, V116, P55, DOI 10.1016/j.isprsjprs.2016.03.008
   Hripcsak G, 2005, J AM MED INFORM ASSN, V12, P296, DOI 10.1197/jamia.M1733
   [黄翀 Huang Chong], 2020, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V36, P177
   Hussain S, 2015, ENVIRON SCI POLLUT R, V22, P3342, DOI 10.1007/s11356-014-3760-4
   Jiang QW, 2016, AGR WATER MANAGE, V177, P241, DOI 10.1016/j.agwat.2016.08.006
   Karra Krishna, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, P4704, DOI 10.1109/IGARSS47720.2021.9553499
   Li BL, 2022, PEDOSPHERE, V32, P576, DOI 10.1016/S1002-0160(21)60053-X
   Liu JH, 2019, FRONT EARTH SCI-PRC, V13, P111, DOI 10.1007/s11707-018-0723-y
   Liu SS, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203400
   Mandal D, 2018, IEEE GEOSCI REMOTE S, V15, P1947, DOI 10.1109/LGRS.2018.2865816
   Munda GC, 2009, CURR SCI INDIA, V96, P1620
   Onojeghuo AO, 2018, GISCI REMOTE SENS, V55, P659, DOI 10.1080/15481603.2018.1423725
   Onojeghuo AO, 2018, INT J REMOTE SENS, V39, P1042, DOI 10.1080/01431161.2017.1395969
   Pang JT, 2021, INT J APPL EARTH OBS, V104, DOI 10.1016/j.jag.2021.102551
   [彭少兵 Peng ShaoBing], 2014, [中国科学. 生命科学, Scientia Sinica Vitae], V44, P845
   Qiu BW, 2017, SCI TOTAL ENVIRON, V598, P581, DOI 10.1016/j.scitotenv.2017.03.221
   Ribbes F, 1996, INT GEOSCI REMOTE SE, P1983, DOI 10.1109/IGARSS.1996.516863
   Salmon JM, 2015, INT J APPL EARTH OBS, V38, P321, DOI 10.1016/j.jag.2015.01.014
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   Shao QH, 2023, PADDY WATER ENVIRON, V21, P243, DOI 10.1007/s10333-023-00926-w
   Shao Y, 2001, REMOTE SENS ENVIRON, V76, P310, DOI 10.1016/S0034-4257(00)00212-1
   [宋开付 Song Kaifu], 2020, [土壤学报, Acta Pedologica Sinica], V57, P1365
   Steele-Dunne SC, 2017, IEEE J-STARS, V10, P2249, DOI 10.1109/JSTARS.2016.2639043
   Sun CL, 2023, EARTH SYST SCI DATA, V15, P1501, DOI 10.5194/essd-15-1501-2023
   Tian HF, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18010185
   Wang LH, 2022, COMPUT ELECTRON AGR, V200, DOI 10.1016/j.compag.2022.107232
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Xu S, 2023, REMOTE SENS ENVIRON, V285, DOI 10.1016/j.rse.2022.113374
   You NS, 2020, ISPRS J PHOTOGRAMM, V161, P109, DOI 10.1016/j.isprsjprs.2020.01.001
   Yu YF, 2024, AGRONOMY-BASEL, V14, DOI 10.3390/agronomy14010137
   Yuan S, 2019, FIELD CROP RES, V234, P66, DOI 10.1016/j.fcr.2019.02.004
   Zhan P, 2021, REMOTE SENS ENVIRON, V252, DOI 10.1016/j.rse.2020.112112
   Zhang CK, 2023, COMPUT ELECTRON AGR, V212, DOI 10.1016/j.compag.2023.108105
   Zhang X, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1207882
   Zhao RK, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15174167
   Zhao RK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020503
NR 45
TC 0
Z9 0
U1 23
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD AUG
PY 2024
VL 16
IS 15
AR 2703
DI 10.3390/rs16152703
PG 17
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 C1K2Z
UT WOS:001287014700001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, MM
   Zhang, Y
   Pan, T
   Li, YY
   Hong, YH
   Chen, WJ
   Yang, Y
   Zhao, GJ
   Shabala, S
   Yu, M
AF Liu, Minmin
   Zhang, Yu
   Pan, Ting
   Li, Yuanyuan
   Hong, Youheng
   Chen, Wenjie
   Yang, Yao
   Zhao, Gangjun
   Shabala, Sergey
   Yu, Min
TI Genome-wide analysis of respiratory burst oxidase homolog gene family in
   pea (<i>Pisum sativum</i> L.)
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE reactive oxygen species; abiotic stress; plasma membrane; drought;
   salinity; cadmium; boron
ID OXYGEN SPECIES PRODUCTION; NADPH OXIDASE; STOMATAL CLOSURE;
   NITRIC-OXIDE; COLD-STRESS; ACCUMULATION; EXPRESSION; IDENTIFICATION;
   LOCALIZATION; ATRBOHD
AB Plant respiratory burst oxidase homologs (RBOHs) are key enzymes regulating superoxide production, which is important for plant development and responses to biotic and abiotic stresses. This study aimed to characterize the RBOH gene family in pea (Pisum sativum L.). Seven PsRBOH genes were identified in the pea genome and were phylogenetically clustered into five groups. Collinearity analyses of the RBOHs identified four pairs of orthologs between pea and soybean. The gene structure analysis showed that the number of exons ranged from 6 to 16. Amino acid sequence alignment, conserved domain, and conserved motif analyses showed that all seven PsRBOHs had typical features of plant RBOHs. The expression patterns of PsRBOH genes in different tissues provided suggested their roles in plant growth and organ development. In addition, the expression levels of PsRBOH genes under different abiotic stresses were analyzed via reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The results demonstrated that PsRBOH genes exhibited unique stress-response characteristics, which allowed for functional diversity in response to different abiotic stresses. Furthermore, four PsRBOHs had a high probability of localization in the plasma membrane, and PsRBOH6 was localized to the plasma membrane and endoplasmic reticulum. The results of this study provide valuable information for further functional analysis of pea RBOH genes and their role in plant adaptation to climate-driven environmental constraints.
C1 [Liu, Minmin; Zhang, Yu; Pan, Ting; Li, Yuanyuan; Hong, Youheng; Chen, Wenjie; Yang, Yao; Shabala, Sergey; Yu, Min] Foshan Univ, Int Res Ctr Environm Membrane Biol, Foshan, Peoples R China.
   [Liu, Minmin; Zhang, Yu; Pan, Ting; Li, Yuanyuan; Hong, Youheng; Chen, Wenjie; Yang, Yao; Shabala, Sergey; Yu, Min] Foshan Univ, Dept Hort, Foshan, Peoples R China.
   [Zhao, Gangjun] Guangdong Acad Agr Sci, Vegetable Res Inst, Guangdong Key Lab New Technol Res Vegetables, Guangzhou, Peoples R China.
   [Shabala, Sergey] Univ Western Australia, Sch Biol Sci, Crawley, WA, Australia.
C3 Foshan University; Foshan University; Guangdong Academy of Agricultural
   Sciences; University of Western Australia
RP Shabala, S; Yu, M (corresponding author), Foshan Univ, Int Res Ctr Environm Membrane Biol, Foshan, Peoples R China.; Shabala, S; Yu, M (corresponding author), Foshan Univ, Dept Hort, Foshan, Peoples R China.; Zhao, GJ (corresponding author), Guangdong Acad Agr Sci, Vegetable Res Inst, Guangdong Key Lab New Technol Res Vegetables, Guangzhou, Peoples R China.; Shabala, S (corresponding author), Univ Western Australia, Sch Biol Sci, Crawley, WA, Australia.
EM zhaogangjun@gdaas.cn; sergey.shabala@uwa.edu.au; yumin@fosu.edu.cn
RI Shabala, Sergey/AAF-5449-2020; Zhang, Junhong/AIF-3796-2022
FU National Natural Science Foundation of China [31902017, 32172672];
   Guangdong Basic and Applied Basic Research Foundation [2021A1515011020,
   2019A1515110070]; Higher Education Department of Guangdong Province
   [2020KCXTD025]; Special fund for scientific innovation
   strategy-construction of high-level Academy of Agriculture Science
   [R2022PY-QY002]
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This work was supported
   by the National Natural Science Foundation of China (31902017,
   32172672), Guangdong Basic and Applied Basic Research Foundation
   (2021A1515011020, 2019A1515110070), the Higher Education Department of
   Guangdong Province (Grant No. 2020KCXTD025), Special fund for scientific
   innovation strategy-construction of high-level Academy of Agriculture
   Science (R2022PY-QY002).
CR Arthikala MK, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02003
   Asai S, 2008, PLANT CELL, V20, P1390, DOI 10.1105/tpc.107.055855
   Bostock RM, 2014, ANNU REV PHYTOPATHOL, V52, P517, DOI 10.1146/annurev-phyto-081211-172902
   Chang Y, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.00788
   Chen CJ, 2020, MOL PLANT, V13, P1194, DOI 10.1016/j.molp.2020.06.009
   Chen QH, 2020, J PLANT GROWTH REGUL, V39, P157, DOI 10.1007/s00344-019-09971-4
   Chen X, 2024, PLANT J, V117, P302, DOI 10.1111/tpj.16487
   Chen X, 2022, ENVIRON EXP BOT, V201, DOI 10.1016/j.envexpbot.2022.104947
   Cheng CX, 2013, INT J MOL SCI, V14, P24169, DOI 10.3390/ijms141224169
   Chung JS, 2008, PLANT J, V53, P554, DOI 10.1111/j.1365-313X.2007.03364.x
   Delledonne M, 2002, PLANT PHYSIOL BIOCH, V40, P605, DOI 10.1016/S0981-9428(02)01397-9
   Drerup MM, 2013, MOL PLANT, V6, P559, DOI 10.1093/mp/sst009
   Du LH, 2023, GENES-BASEL, V14, DOI 10.3390/genes14091665
   Duan ZQ, 2009, J INTEGR PLANT BIOL, V51, P1104, DOI 10.1111/j.1744-7909.2009.00879.x
   Dubiella U, 2013, P NATL ACAD SCI USA, V110, P8744, DOI 10.1073/pnas.1221294110
   Foyer CH, 2022, PLANT J, V111, P642, DOI 10.1111/tpj.15856
   Groom QJ, 1996, PLANT J, V10, P515, DOI 10.1046/j.1365-313X.1996.10030515.x
   Gui TY, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.929299
   Han JP, 2019, NEW PHYTOL, V221, P1935, DOI 10.1111/nph.15543
   Hu CH, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00906
   Ishikawa K, 2018, PLANT PHYSIOL, V178, P641, DOI 10.1104/pp.18.00498
   Jimenez-Quesada M.J., 2022, Oxygen, V2, P79, DOI [10.3390/oxygen2020007, DOI 10.3390/OXYGEN2020007]
   Jimenez-Quesada MJ, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01149
   Kapli P, 2020, NAT REV GENET, V21, P428, DOI 10.1038/s41576-020-0233-0
   Kaya H, 2014, PLANT CELL, V26, P1069, DOI 10.1105/tpc.113.120642
   Knopkiewicz M, 2019, ANN APPL BIOL, V174, P86, DOI 10.1111/aab.12475
   Koroleva OA, 2005, PLANT J, V41, P162, DOI 10.1111/j.1365-313X.2004.02281.x
   Kreplak J, 2019, NAT GENET, V51, P1411, DOI 10.1038/s41588-019-0480-1
   Kwak JM, 2003, EMBO J, V22, P2623, DOI 10.1093/emboj/cdg277
   Lee J, 2023, MOL CELLS, V46, P329, DOI 10.14348/molcells.2023.2158
   Lherminier J, 2009, MOL PLANT MICROBE IN, V22, P868, DOI 10.1094/MPMI-22-7-0868
   Li DH, 2019, ROY SOC OPEN SCI, V6, DOI 10.1098/rsos.181727
   Li H, 2014, PLANT CELL ENVIRON, V37, P2768, DOI 10.1111/pce.12360
   Li JS, 2011, PLANTA, V234, P709, DOI 10.1007/s00425-011-1439-3
   Li XW, 2023, J PLANT PHYSIOL, V287, DOI 10.1016/j.jplph.2023.154045
   Li XW, 2018, PLANT PHYSIOL, V177, P1254, DOI 10.1104/pp.18.00188
   Liu J, 2019, ENVIRON EXP BOT, V161, P344, DOI 10.1016/j.envexpbot.2018.07.015
   Liu MM, 2020, TRENDS PLANT SCI, V25, P630, DOI 10.1016/j.tplants.2020.04.008
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Marino D, 2011, NEW PHYTOL, V189, P580, DOI 10.1111/j.1469-8137.2010.03509.x
   Miller G., 2023, NADPH oxidases revisited: from function to structure, P445
   Mittler R, 2011, TRENDS PLANT SCI, V16, P300, DOI 10.1016/j.tplants.2011.03.007
   Montiel J, 2012, PLANT CELL PHYSIOL, V53, P1751, DOI 10.1093/pcp/pcs120
   Nakashima A, 2008, PLANT CELL, V20, P2265, DOI 10.1105/tpc.107.054395
   Noirot E, 2014, J EXP BOT, V65, P5011, DOI 10.1093/jxb/eru265
   Overmyer K, 2003, TRENDS PLANT SCI, V8, P335, DOI 10.1016/S1360-1385(03)00135-3
   Palmgren MG, 2015, TRENDS PLANT SCI, V20, P155, DOI 10.1016/j.tplants.2014.11.003
   Patel R., 2018, Reactive oxygen species (ROS) in living cells, P216
   Postiglione AE, 2023, PLANT PHYSIOL, V192, P469, DOI 10.1093/plphys/kiac601
   Rawat N, 2022, MOL PLANT, V15, P45, DOI 10.1016/j.molp.2021.12.003
   Romero-Puertas MC, 2004, PLANT CELL ENVIRON, V27, P1122, DOI 10.1111/j.1365-3040.2004.01217.x
   Sagi M, 2004, PLANT CELL, V16, P616, DOI 10.1105/tpc.019398
   Sagi M, 2006, PLANT PHYSIOL, V141, P336, DOI 10.1104/pp.106.078089
   Sandalio LM, 2021, PLANT PHYSIOL, V186, P22, DOI 10.1093/plphys/kiab060
   Schmutz J, 2010, NATURE, V463, P178, DOI 10.1038/nature08670
   Selvi A, 2020, 3 BIOTECH, V10, DOI 10.1007/s13205-020-02226-0
   Song CJ, 2006, PLANT PHYSIOL, V140, P1222, DOI 10.1104/pp.105.073072
   Suzuki N, 2011, CURR OPIN PLANT BIOL, V14, P691, DOI 10.1016/j.pbi.2011.07.014
   Takeda S, 2008, SCIENCE, V319, P1241, DOI 10.1126/science.1152505
   Torres MA, 1998, PLANT J, V14, P365, DOI 10.1046/j.1365-313X.1998.00136.x
   Torres MA, 2002, P NATL ACAD SCI USA, V99, P517, DOI 10.1073/pnas.012452499
   Wang GF, 2013, INT J MOL SCI, V14, P9440, DOI 10.3390/ijms14059440
   Wang JY, 2023, NUCLEIC ACIDS RES, V51, pD384, DOI 10.1093/nar/gkac1096
   Wang W, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-6503-6
   Xia XJ, 2014, PLANT CELL ENVIRON, V37, P2036, DOI 10.1111/pce.12275
   Xie YJ, 2011, PLANT J, V66, P280, DOI 10.1111/j.1365-313X.2011.04488.x
   Yamaguchi-Shinozaki K, 2005, TRENDS PLANT SCI, V10, P88, DOI 10.1016/j.tplants.2004.12.012
   Yamauchi T, 2017, PLANT CELL, V29, P775, DOI 10.1105/tpc.16.00976
   Yang YT, 2022, FRONT GENET, V13, DOI 10.3389/fgene.2022.936051
   Zhang HM, 2022, NAT REV GENET, V23, P104, DOI 10.1038/s41576-021-00413-0
   Zhang JW, 2021, TROP PLANT BIOL, V14, P251, DOI 10.1007/s12042-021-09286-3
   Zhang YY, 2009, PLANT CELL, V21, P2357, DOI 10.1105/tpc.108.062992
   Zhang YT, 2018, FEBS OPEN BIO, V8, P593, DOI 10.1002/2211-5463.12393
NR 73
TC 1
Z9 1
U1 4
U2 8
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD DEC 12
PY 2023
VL 14
AR 1321952
DI 10.3389/fpls.2023.1321952
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA DW4E4
UT WOS:001135097500001
PM 38155848
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Keller, I
   Schuler, J
   Bezault, E
   Seehausen, O
AF Keller, Irene
   Schuler, Jolanda
   Bezault, Etienne
   Seehausen, Ole
TI Parallel divergent adaptation along replicated altitudinal gradients in
   Alpine trout
SO BMC EVOLUTIONARY BIOLOGY
LA English
DT Article
DE European trout; Local adaptation; Genome scan; AFLP; Environmental
   gradient; Parallel adaptation
ID MITOCHONDRIAL CONTROL REGION; ADAPTIVE GENETIC-DIVERGENCE; SALMO-TRUTTA;
   NATURAL-SELECTION; ENVIRONMENTAL GRADIENT; SEQUENCE VARIATION; LOCAL
   ADAPTATION; GENOME-SCAN; BROOK CHARR; POPULATIONS
AB Background: The European trout (Salmo trutta species complex) occurs across a very wide altitudinal range from lowland rivers to alpine streams. Historically, the major European river systems contained different, evolutionarily distinct trout lineages, and some of this genetic diversity has persisted in spite of extensive human-mediated translocations. We used AFLP-based genome scans to investigate the extent of potentially adaptive divergence among major drainages and along altitudinal gradients replicated in several rivers.
   Results: The proportion of loci showing evidence of divergent selection was larger between drainages than along altitudinal transects within drainages. This suggests divergent selection is stronger between drainages, or adaptive divergence is constrained by gene flow among populations within drainages, although the latter could not be confirmed at a more local scale. Still, altitudinal divergence occurred and, at approximately 2% of the markers, parallel changes of the AFLP band frequencies with altitude were observed suggesting that altitude may well be an important source of divergent selection within rivers.
   Conclusions: Our results indicate that adaptive genetic divergence is common both between major European river systems and along altitudinal gradients within drainages. Alpine trout appear to be a promising model system to investigate the relative roles of divergent selection and gene flow in promoting or preventing adaptation to climate gradients.
C1 [Keller, Irene; Schuler, Jolanda; Bezault, Etienne; Seehausen, Ole] EAWAG Swiss Fed Inst Aquat Sci & Technol, Ctr Ecol Evolut & Biogeochem, Dept Fish Ecol & Evolut, CH-6047 Kastanienbaum, Switzerland.
   [Keller, Irene] EAWAG Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, CH-8600 Dubendorf, Switzerland.
   [Schuler, Jolanda; Bezault, Etienne; Seehausen, Ole] Univ Bern, Inst Ecol & Evolut, Dept Aquat Ecol & Macroevolut, CH-3012 Bern, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   of Aquatic Science & Technology (EAWAG); Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG); University of Bern
RP Keller, I (corresponding author), EAWAG Swiss Fed Inst Aquat Sci & Technol, Ctr Ecol Evolut & Biogeochem, Dept Fish Ecol & Evolut, Seestr 79, CH-6047 Kastanienbaum, Switzerland.
EM irene.keller@eawag.ch
RI Keller, Irene/F-6043-2012; Seehausen, Ole/C-8272-2011
OI Bezault, Etienne/0000-0001-7172-6480
FU Eawag Discretionary Funds; BioChange through CCES (ETH Zurich)
FX We would like to thank everyone who helped with fieldwork, in particular
   B. Almasi, C. Baumgartner, L. Costa, J.-M. Fierz, B. Germann, M.
   Grunenfelder, S. Haertel, J. Koegler, A. Lievre, A. Peter, B. Polli, C.
   Rau, E. Schager, D. Senn, A. Taverna, B. Tschirren, H. Walther, P.
   Warnier, and A. Westram. We are grateful to the fisheries authorities of
   Bern, Graubunden, Jura, Luzern, St. Gallen, Solothurn, Thurgau, Ticino,
   Uri and the province of Sondrio, Italy, for their support of this
   project. We thank S. Mwaiko for invaluable help with molecular analyses
   and S. Haertel, J. Hines, J. Jokela, K. Klappert, K. Kopp and K. Rasanen
   for helpful discussion. This study was part of BioChange financed
   through CCES (ETH Zurich). IK was also financially supported by Eawag
   Discretionary Funds.
CR Angers B, 1999, MOL ECOL, V8, P1043, DOI 10.1046/j.1365-294x.1999.00669.x
   [Anonymous], 2005, ECOLOGY INDIVIDUALS
   [Anonymous], 2007, R: A Language and Environment for Statistical Computing
   Antunes A, 2002, MOL BIOL EVOL, V19, P1272, DOI 10.1093/oxfordjournals.molbev.a004188
   Beaumont MA, 2004, MOL ECOL, V13, P969, DOI 10.1111/j.1365-294X.2004.02125.x
   Bernatchez L, 1992, MOL ECOL, V1, P161, DOI 10.1111/j.1365-294X.1992.tb00172.x
   Bernatchez L, 2001, EVOLUTION, V55, P351, DOI 10.1111/j.0014-3820.2001.tb01300.x
   Bonin A, 2006, MOL BIOL EVOL, V23, P773, DOI 10.1093/molbev/msj087
   Castric V, 2001, EVOLUTION, V55, P1016, DOI 10.1554/0014-3820(2001)055[1016:LSAHGD]2.0.CO;2
   Dionne M, 2007, EVOLUTION, V61, P2154, DOI 10.1111/j.1558-5646.2007.00178.x
   Doebeli M, 2003, NATURE, V421, P259, DOI 10.1038/nature01274
   ENDLER JA, 1973, SCIENCE, V179, P243, DOI 10.1126/science.179.4070.243
   Estoup A, 2000, MOL ECOL, V9, P1873, DOI 10.1046/j.1365-294x.2000.01099.x
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Excoffier L, 2005, EVOL BIOINFORM, V1, P47, DOI 10.1177/117693430500100003
   Falush D, 2003, GENETICS, V164, P1567
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Garant D, 2007, FUNCT ECOL, V21, P434, DOI 10.1111/j.1365-2435.2006.01228.x
   Gaudeul M, 2000, MOL ECOL, V9, P1625, DOI 10.1046/j.1365-294x.2000.01063.x
   Giuffra E, 1996, MOL ECOL, V5, P207, DOI 10.1111/j.1365-294X.1996.tb00308.x
   GIUFFRA E, 1994, MOL ECOL, V3, P161, DOI 10.1111/j.1365-294X.1994.tb00117.x
   Goudet J., 2002, FSTAT Version 2.9.3.2. A program to estimate and test gene diversities and fixation indices
   Grahame JW, 2006, EVOLUTION, V60, P268
   HALDANE JBS, 1948, J GENET, V48, P277, DOI 10.1007/BF02986626
   Hansen MM, 2010, MOL ECOL, V19, P1787, DOI 10.1111/j.1365-294X.2010.04615.x
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller I, 2011, MOL ECOL, V20, P1888, DOI 10.1111/j.1365-294X.2011.05067.x
   Kottelat M., 2007, Handbook of European freshwater fishes
   Largiader CR, 1995, J FISH BIOL, V47, P209, DOI 10.1111/j.1095-8649.1995.tb06057.x
   Largiader CR, 1996, MOL ECOL, V5, P417, DOI 10.1111/j.1365-294X.1996.tb00331.x
   Marcogliese DJ, 2008, REV SCI TECH OIE, V27, P467, DOI 10.20506/rst.27.2.1820
   Meier K, 2011, HEREDITY, V106, P488, DOI 10.1038/hdy.2010.164
   Minder AM, 2008, MOL ECOL, V17, P1552, DOI 10.1111/j.1365-294X.2008.03709.x
   Mullen LM, 2008, EVOLUTION, V62, P1555, DOI 10.1111/j.1558-5646.2008.00425.x
   Nosil P, 2004, EVOLUTION, V58, P102, DOI 10.1111/j.0014-3820.2004.tb01577.x
   Nosil P, 2008, EVOLUTION, V62, P316, DOI 10.1111/j.1558-5646.2007.00299.x
   Nosil P, 2009, TRENDS ECOL EVOL, V24, P145, DOI 10.1016/j.tree.2008.10.011
   Pritchard JK, 2000, GENETICS, V155, P945
   Räsänen K, 2008, ECOL LETT, V11, P624, DOI 10.1111/j.1461-0248.2008.01176.x
   Rosenberg NA, 2004, MOL ECOL NOTES, V4, P137, DOI 10.1046/j.1471-8286.2003.00566.x
   Rundle HD, 2000, SCIENCE, V287, P306, DOI 10.1126/science.287.5451.306
   Schmidt PS, 2008, ECOLOGY, V89, pS91, DOI 10.1890/07-1162.1
   Schweizerische Fischereiberatung (FIBER), FISCH FLIESS
   Seehausen O, 2008, NATURE, V455, P620, DOI 10.1038/nature07285
   SLATKIN M, 1973, GENETICS, V75, P733
   Storz JF, 2005, MOL ECOL, V14, P671, DOI 10.1111/j.1365-294X.2005.02437.x
   Storz JF, 2004, EVOLUTION, V58, P1342
   Trybush S, 2006, CAN J BOT, V84, P1347, DOI 10.1139/B06-096
   VOS P, 1995, NUCLEIC ACIDS RES, V23, P4407, DOI 10.1093/nar/23.21.4407
   Wahli T, 2007, AQUAT SCI, V69, P3, DOI 10.1007/s00027-006-0843-4
   Wilding CS, 2001, J EVOLUTION BIOL, V14, P611, DOI 10.1046/j.1420-9101.2001.00304.x
   Williams G. C., 1966, P307
NR 53
TC 8
Z9 9
U1 0
U2 40
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1471-2148
J9 BMC EVOL BIOL
JI BMC Evol. Biol.
PD OCT 27
PY 2012
VL 12
AR 210
DI 10.1186/1471-2148-12-210
PG 16
WC Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology; Genetics & Heredity
GA 075IC
UT WOS:000313877200001
PM 23102191
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kaeriyama, M
   Nakamura, M
   Edpalina, R
   Bower, JR
   Yamaguchi, H
   Walker, RV
   Myers, KW
AF Kaeriyama, M
   Nakamura, M
   Edpalina, R
   Bower, JR
   Yamaguchi, H
   Walker, RV
   Myers, KW
TI Change in feeding ecology and trophic dynamics of Pacific salmon
   (<i>Oncorhynchus</i> spp.) in the central Gulf of Alaska in relation to
   climate events
SO FISHERIES OCEANOGRAPHY
LA English
DT Article
DE delta C-13; delta N-15; El Nino; feeding ecology; Gulf of Alaska; La
   Nina; Pacific salmon
ID BERING-SEA; FOOD-WEB; NORTHEAST PACIFIC; STOMACH CONTENTS; STEELHEAD
   TROUT; OCEAN; DELTA-N-15; OVERLAP; N-15
AB The effects of climate events on the feeding ecology and trophic dynamics of Pacific salmon (Oncorhynchus spp.) in offshore waters of the central Gulf of Alaska were investigated during early summers (1994-2000), based on analyses of stomach contents, and carbon and nitrogen stable isotopes (delta(13)C and delta(15)N). Gonatid squids (mainly Berryteuthis anonychus) were the dominant prey of all salmon species except for chum salmon (O. keta). During the 1997 El Nino event and the 1999 La Nina event, squids decreased sharply in the diets of all Pacific salmon except coho salmon (O. kisutch) in the Subarctic Current, and chum salmon diets changed from gelatinous zooplankton (1995-97) to a more diverse array of zooplankton species. A delta(13)C and delta(15)N analysis indicated that all salmon species occupied the same branch of the food web in 1999-2000. We hypothesize that high-seas salmon adapt to climate-induced changes in their prey resources by switching their diets either within or between trophic levels. To understand the effects of climate change on Pacific salmon in the Gulf of Alaska, biological oceanographic research on B. anonychus and other important prey resources is needed.
C1 Hokkaido Tokai Univ, Sch Engn, Minami Ku, Sapporo, Hokkaido 0058601, Japan.
   Hokkaido Univ, Hakodate Branch, No Biosphere Field Sci Ctr, Hakodate, Hokkaido 0418611, Japan.
   Hokkaido Univ, Grad Sch Fisheries Sci, Hakodate, Hokkaido 0418611, Japan.
   Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
C3 Tokai University; Hokkaido University; Hokkaido University; University
   of Washington; University of Washington Seattle
RP Hokkaido Tokai Univ, Sch Engn, Minami Ku, 5-1-1-1 Minamisawa, Sapporo, Hokkaido 0058601, Japan.
EM salmon@dm.htokai.ac.jp
RI Kaeriyama, Masahide/A-8500-2012
OI Kaeriyama, Masahide/0000-0002-0557-7111
CR ALLEN GH, 1958, 237 US FISH WILDL SE, P1
   Auburn Mary E., 2000, North Pacific Anadromous Fish Commission Bulletin, V2, P89
   Aydin Kermin Y., 2000, North Pacific Anadromous Fish Commission Bulletin, V2, P43
   Bower JR, 2002, VELIGER, V45, P309
   COLWELL RK, 1971, ECOLOGY, V52, P567, DOI 10.2307/1934144
   FREELAND H, 1998, PICES PRESS, V6, P2
   FREELAND H, 2001, PICES PRESS, V9, P8
   HOBSON KA, 1992, MAR ECOL PROG SER, V84, P9, DOI 10.3354/meps084009
   HORN HS, 1966, AM NAT, V100, P419, DOI 10.1086/282436
   Ito J., 1964, Bulletin of the Hokkaido Regional Fisheries Research Laboratory, VNo. 29, P85
   Kaeriyama M., 1985, Aquabiology (Tokyo), V7, P426
   Kaeriyama M., 1986, SCI REP HOKKAIDO SAL, V40, P31
   Kaeriyama Masahide, 2000, North Pacific Anadromous Fish Commission Bulletin, V2, P55
   KANNO Y, 1971, Bulletin of the Faculty of Fisheries Hokkaido University, V22, P107
   Krebs C.J., 1998, Ecological Methodology, V2nd
   Kruse Gordon H., 1998, Alaska Fishery Research Bulletin, V5, P55
   LEBRASSEUR RJ, 1966, J FISH RES BOARD CAN, V23, P85, DOI 10.1139/f66-007
   LEBRASSEUR RJ, 1972, BIOL OCEANOGRAPHY NO, P581
   MANZER JI, 1968, J FISH RES BOARD CAN, V25, P1085, DOI 10.1139/f68-094
   MCCONNAUGHEY T, 1979, MAR BIOL, V53, P257, DOI 10.1007/BF00952434
   MINAGAWA M, 1984, GEOCHIM COSMOCHIM AC, V48, P1135, DOI 10.1016/0016-7037(84)90204-7
   MYERS KW, 1999, FRIUW9909 SCH AQ FIS
   Nakano Shigeru, 1996, Japanese Journal of Ichthyology, V43, P59
   Nesis KN, 1997, ADV MAR BIOL, V32, P243
   Nishiyama T., 1970, Bull. Fac. Fish. Hokkaido Univ., V20, P265
   Nishiyama T., 1974, OCEANOGRAPHY BERING, V2, P321
   NISHIYAMA T, 1977, RES I N PAC FISH, P289
   Onishi Hiroji, 2000, Bulletin of the Faculty of Fisheries Hokkaido University, V51, P31
   Overland JE, 2001, FISH OCEANOGR, V10, P69, DOI 10.1046/j.1365-2419.2001.00154.x
   Pearcy W.G., 1988, Bulletin of the Ocean Research Institute University of Tokyo, V26, P29
   Satterfield FR, 2002, PROG OCEANOGR, V53, P231, DOI 10.1016/S0079-6611(02)00032-0
   SHIMAZAKI K, 1969, Bulletin of the Faculty of Fisheries Hokkaido University, V20, P82
   Stabeno PJ, 2001, FISH OCEANOGR, V10, P81, DOI 10.1046/j.1365-2419.2001.00157.x
   Tadokoro K, 1996, FISH OCEANOGR, V5, P89, DOI 10.1111/j.1365-2419.1996.tb00108.x
   Takeuchi I., 1972, Bulletin Hokkaido reg Fish Res Lab, V38, P1
   WADA E, 1987, DEEP-SEA RES, V34, P829, DOI 10.1016/0198-0149(87)90039-2
   Welch David W., 1993, Fisheries Oceanography, V2, P11, DOI 10.1111/j.1365-2419.1993.tb00008.x
NR 37
TC 104
Z9 126
U1 3
U2 53
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1054-6006
EI 1365-2419
J9 FISH OCEANOGR
JI Fish Oceanogr.
PD MAY
PY 2004
VL 13
IS 3
BP 197
EP 207
DI 10.1111/j.1365-2419.2004.00286.x
PG 11
WC Fisheries; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Oceanography
GA 812KT
UT WOS:000220839100004
DA 2025-01-10
ER

PT J
AU Giovannini, S
   Chiattelli, D
   Mancinelli, AC
   Dal Bosco, A
   Sarti, FM
   Sunzini, P
   Bedini, F
   Castellini, C
AF Giovannini, Samira
   Chiattelli, Diletta
   Cartoni Mancinelli, Alice
   Dal Bosco, Alessandro
   Sarti, Francesca Maria
   Sunzini, Piero
   Bedini, Fabiola
   Castellini, Cesare
TI Unlocking the potential of local rabbit population: morphological
   insights for sustainable rabbit farming in Burkina Faso's challenging
   environments
SO ITALIAN JOURNAL OF ANIMAL SCIENCE
LA English
DT Article
DE Small livestock; rabbit production; morphological traits; poverty
   alleviation
ID BODY-WEIGHT; R-PACKAGE; CARCASS; TRAITS; PREDICTION; INDEXES
AB This study explores the potential of rabbits as a sustainable solution for poverty alleviation and food security in Burkina Faso, a country facing socio-economic and environmental challenges. In the context of limited resources and employment opportunities, rabbits offer advantages such as small size, short generation interval and high reproductive capacity. The research focuses on characterising the morphology of Burkina Faso's local rabbit population, comparing it with two Italian breeds: a local medium-growing breed called Leprino di Viterbo (LV) and a fast-growing hybrid (a crossbred New Zealand x California, NZC). Utilising path analysis and principal component analysis, the study identifies key morphometric traits crucial for breeding programs and examines the influence of specific traits on body weight (BW) gain and heat stress resilience through 'Transpiration Indexes.' Findings highlight the importance of variables like chest girth (CG), abdominal girth (AG), rump width (RW) and nose to shoulders length (NSL) in influencing body weight (BW) and reveal significant size and shape differences among the breeds. The study suggests potential climate adaptation in Burkina Faso's rabbit population, providing practical insights for breeding programs in resource-constrained regions. This research not only advances scientific understanding but also provides practical insights for breeding programs in resource-constrained regions, emphasising the importance of certain morphological traits for heat dissipation.
C1 [Giovannini, Samira; Chiattelli, Diletta; Cartoni Mancinelli, Alice; Dal Bosco, Alessandro; Sarti, Francesca Maria; Castellini, Cesare] Univ Perugia, Dipartimento Sci Agr Alimentari & Ambientali, Perugia, Italy.
   [Sunzini, Piero; Bedini, Fabiola] Tamat NGO, Perugia, Italy.
C3 University of Perugia
RP Giovannini, S (corresponding author), Univ Perugia, Dipartimento Sci Agr Alimentari & Ambientali, Perugia, Italy.
EM samira.giovannini@studenti.unipg.it
RI Mancinelli, Alice/ABC-4801-2020; Dal Bosco, Alessandro/H-7231-2014;
   Castellini, Cesare/J-6335-2019; SARTI, Francesca Maria/Y-4993-2018
OI SARTI, Francesca Maria/0000-0001-9366-0400
FU Presidency of the Council of Ministers
FX No Statement Available
CR Abdel-Kafy ESM, 2018, VET WORLD, V11, P1120, DOI 10.14202/vetworld.2018.1120-1126
   Adenaike Adeyemi Sunday, 2023, Agriculturae Conspectus Scientificus, V88, P61
   Ajayi BA., 2012, P 10 WORLD RABBIT C, P229
   Akounda B, 2023, ANIMALS-BASEL, V13, DOI 10.3390/ani13121931
   Awuor AS., 2018, J Biol Agric Healthc, V8, P9
   Cam MA, 2010, ASIAN J ANIM VET ADV, V5, P120, DOI 10.3923/ajava.2010.120.127
   Chriki S., 2020, La France Agricole
   CONLEY KE, 1985, J COMP PHYSIOL B, V155, P423, DOI 10.1007/BF00684671
   Eshimutu U., 2023, AKSUJA J Agric Food Sci, V7, P29, DOI [10.61090/aksuja.2023.007, DOI 10.61090/AKSUJA.2023.007]
   Farghly MFA, 2020, INT J BIOMETEOROL, V64, P1295, DOI 10.1007/s00484-020-01906-z
   Hassan H.E., 2012, J ANIM SCI ADV, V2, P407
   Hermans TDG, 2023, J RURAL STUD, V100, DOI 10.1016/j.jrurstud.2023.103012
   Isaac U., 2023, Malays Anim Husb J, V3, P39, DOI [10.26480/mahj.01.2023.39.45, DOI 10.26480/MAHJ.01.2023.39.45]
   Khalid AR, 2020, J THERM BIOL, V93, DOI 10.1016/j.jtherbio.2020.102680
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Li A, 2024, AQUACULT INT, V32, P2493, DOI 10.1007/s10499-023-01281-7
   Mogharbi A., 2021, Genetics and Biodiversity Journal, V5, P72
   Mutsami C, 2020, FRONT VET SCI, V7, DOI 10.3389/fvets.2020.00353
   Norris D, 2015, INDIAN J ANIM RES, V49, P573, DOI 10.18805/ijar.5564
   Oseni SO, 2014, WORLD RABBIT SCI, V22, P147, DOI 10.4995/wrs.2014.1348
   Rosseel Y, 2012, J STAT SOFTW, V48, P1, DOI 10.18637/jss.v048.i02
   Rotimi EA., 2021, Agric Trop Subtrop, V54, P52, DOI [10.2478/ats-2021-0006, DOI 10.2478/ATS-2021-0006]
   Ryding S, 2021, TRENDS ECOL EVOL, V36, P1036, DOI 10.1016/j.tree.2021.07.006
   Schermelleh-Engel K., 2003, Methods of Psychological Research, V8, P23, DOI DOI 10.1002/0470010940
   Team RC, 2021, R LANGUAGE ENV STAT
   Tyasi TL, 2023, S AFR J ANIM SCI, V53, P28, DOI 10.4314/sajas.v53i1.04
   Udeh I., 2013, Rabbit Genetics, V3, P1
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   WILLIAMS CK, 1989, J ANIM ECOL, V58, P495, DOI 10.2307/4844
   Wongnaa C.A., 2023, STE, V2, DOI [10.1016/j.stae.2023.100048, DOI 10.1016/J.STAE.2023.100048]
   Wu Z-f., 2008, 9 WORLD RABBIT C, P1
   Yakubu A, 2009, INT J MORPHOL, V27, P1013
   Zeferino CP, 2013, ANIMAL, V7, P518, DOI 10.1017/S1751731112001838
NR 33
TC 0
Z9 0
U1 2
U2 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1594-4077
EI 1828-051X
J9 ITAL J ANIM SCI
JI Ital. J. Anim. Sci.
PD DEC 31
PY 2024
VL 23
IS 1
BP 523
EP 531
DI 10.1080/1828051X.2024.2329719
PG 9
WC Agriculture, Dairy & Animal Science; Agriculture, Multidisciplinary;
   Veterinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Veterinary Sciences
GA MR4Y3
UT WOS:001195358600001
OA gold
DA 2025-01-10
ER

PT J
AU Luo, KY
   Wang, ZY
   Li, WF
   Wu, JS
AF Luo, Keyu
   Wang, Zhenyu
   Li, Weifeng
   Wu, Jiansheng
TI Unleashing hidden carbon sequestration potential: A case study of the
   Greater Bay Area, China
SO URBAN CLIMATE
LA English
DT Article
DE The Guangdong-Hong Kong-Macao Greater Bay; Area; Net primary
   productivity; Landscape character unit; Potential carbon sequestration
   gains; Optimal land management
ID NET PRIMARY PRODUCTIVITY; CLIMATE-CHANGE; MANAGEMENT; LAND; TERRESTRIAL;
   NEUTRALITY; EMISSIONS; PATTERNS; PLATEAU; CITIES
AB Improving carbon sequestration through optimal land management is a vital nature-based strategy due to low cost and easy popularization. However, the potential carbon sequestration gains (PCSG) resulting from land management are not well understood. Therefore, this study aims to investigate the PCGS in the Greater Bay Area (GBA) of China. The actual and potential net primary production (PNPP) based on remote sensing and the Miami model from 2001 to 2020 was used to estimate carbon sequestration. The study utilized the landscape character unit to separate the environmental factors and land management differences, and focal statistics to estimate PCSG by comparing local PNPP with target NPP under optimal land management. The correlations between PCSG and accumulated area, carbon sequestration, and population density were analyzed. The results found that the PCSG flux is higher in suburban areas compared to urban and peripheral ecological areas, as well as higher in human landscapes than in natural landscapes. The PCSG was estimated to increase carbon sequestration by 35%. Optimal land management should be prioritized in 26.76% of the area to achieve half of the PCSG goal. This study revealed the importance of land management on carbon sequestration towards climate adaptation and carbon neutrality.
C1 [Wang, Zhenyu] China Univ Geosci, Sch Land Sci & Technol, Beijing, Peoples R China.
   [Luo, Keyu; Li, Weifeng] Univ Hong Kong, Fac Architecture, Dept Urban Planning & Design, Hong Kong, Peoples R China.
   [Luo, Keyu; Wu, Jiansheng] Peking Univ, Sch Urban Planning & Design, Key Lab Urban Habitat Environm Sci & Technol, Shenzhen 518055, Peoples R China.
C3 China University of Geosciences; University of Hong Kong; Peking
   University
RP Wang, ZY (corresponding author), China Univ Geosci, Sch Land Sci & Technol, Beijing, Peoples R China.
EM zhenyu.uq@gmail.com
FU Fundamental Research Funds for the Central Universities [292022004];
   National Natural Science Foundation of China [42207530]
FX <B>Acknowledgment</B> This study was supported by Fundamental Research
   Funds for the Central Universities (Project NO.: 292022004) and National
   Natural Science Foundation of China (Project NO.: 42207530) .
CR Cao D, 2021, J INTEGR AGR, V20, P424, DOI 10.1016/S2095-3119(20)63458-X
   Chen GZ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14386-x
   China S.C., 2017, Outline of National Territorial Planning (2016-2030)
   Cowie AL, 2018, ENVIRON SCI POLICY, V79, P25, DOI 10.1016/j.envsci.2017.10.011
   Erb KH, 2018, NATURE, V553, P73, DOI 10.1038/nature25138
   Fan LYX, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010572
   Fang Jing-Yun, 2021, Chinese Journal of Plant Ecology, V45, P1173, DOI 10.17521/cjpe.2021.0394
   Favero A, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay6792
   Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
   Gang CC, 2018, SCI TOTAL ENVIRON, V645, P827, DOI 10.1016/j.scitotenv.2018.07.161
   Gonzalez-Roglich M, 2019, ENVIRON SCI POLICY, V93, P34, DOI 10.1016/j.envsci.2018.12.019
   Guo B, 2020, J ARID LAND, V12, P1, DOI 10.1007/s40333-019-0070-1
   Guo YJ, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.168781
   Hong WH, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111601
   Jackson RB, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab57b3
   Law BE, 2018, P NATL ACAD SCI USA, V115, P3663, DOI 10.1073/pnas.1720064115
   Li HT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.988362
   Li L, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2020.106064
   Li SP, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164111
   Li XC, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030526
   Liang YJ, 2021, ECOL INDIC, V120, DOI 10.1016/j.ecolind.2020.106939
   Liao LS, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108199
   Lieth H., 1975, PRIMARY PRODUCTIVITY
   Moura MR, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0152468
   Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609
   Park JH, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13081441
   Peng J, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100998
   Qiu JQ, 2022, ECOL INDIC, V135, DOI 10.1016/j.ecolind.2021.108516
   Ren ZB, 2019, ENVIRON INT, V129, P438, DOI 10.1016/j.envint.2019.05.010
   Robinson NP, 2018, REMOTE SENS ECOL CON, V4, P264, DOI 10.1002/rse2.74
   Sha ZY, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-021-00333-1
   Sha ZY, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.138085
   Shi H, 2020, SCI TOTAL ENVIRON, V715, DOI 10.1016/j.scitotenv.2020.137001
   Shoo LP, 2010, ECOLOGY, V91, P921, DOI 10.1890/08-2018.1
   United Nations, 2015, Paris Agreement, DOI [10.1201/9781351116589-2, DOI 10.1201/9781351116589-2]
   van Soest HL, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22294-x
   Wang Y, 2021, CHINA GEOL, V4, P720, DOI 10.31035/cg2021083
   Wang YW, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD032752
   Wu D, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0209483
   Wu YY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14122929
   Xiao XY, 2019, ECOL EVOL, V9, P4651, DOI 10.1002/ece3.5068
   Xie YC, 2021, ENVIRON EARTH SCI, V80, DOI 10.1007/s12665-021-09762-9
   Xu BC, 2020, ENVIRON SCI POLLUT R, V27, P18044, DOI 10.1007/s11356-020-08284-4
   Yan YC, 2020, INT J REMOTE SENS, V41, P2004, DOI 10.1080/01431161.2019.1681603
   Yeh AGO, 1995, URBAN GEOGR, V16, P521
   Zaks DPM, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2006GB002705
   Zhang GX, 2014, MATH PROBL ENG, V2014, DOI 10.1155/2014/297637
   Zhang YZ, 2020, SCI TOTAL ENVIRON, V698, DOI 10.1016/j.scitotenv.2019.134304
   Zhao X, 2022, RESOUR CONSERV RECY, V176, DOI 10.1016/j.resconrec.2021.105959
   Zhou XF, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14194844
   Zhou Y, 2018, APPL ENERG, V228, P1683, DOI 10.1016/j.apenergy.2018.07.038
NR 51
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JUL
PY 2024
VL 56
AR 102049
DI 10.1016/j.uclim.2024.102049
EA JUL 2024
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA YL7K8
UT WOS:001268707000001
DA 2025-01-10
ER

PT J
AU Schwoerer, T
   Berry, K
   Dugan, DG
   Finnoff, DC
   Mayo, M
   Ohlberger, J
   Ward, EJ
AF Schwoerer, Tobias
   Berry, Kevin
   Dugan, Darcy G.
   Finnoff, David C.
   Mayo, Molly
   Ohlberger, Jan
   Ward, Eric J.
TI Fish or not fish-fisheries participation and harvest diversification
   under economic and ecological change
SO MARINE POLICY
LA English
DT Article
DE Climate adaptation; Choice experiment; Ocean change; Risk response;
   Salmon; Social-ecological feedback
ID CHOICE; MANAGEMENT; JELLYFISH; FEEDBACK; MODELS; ALASKA; RISKS
AB Fish harvesters respond to economic, regulatory, and environmental changes within complex and often highly uncertain decision-making processes. Analyzing and quantifying human decisions can improve our understanding and sustainable management of marine systems. Wild fish harvesters face high income volatility linked to natural variability in fish abundance, changing ocean environments, and world market dynamics. Past research has shown that owning additional permits reduces risk but at considerable cost, leaving such adaptation strategies unattainable for many harvesters. This study conducted a survey with Gulf of Alaska commercial salmon permit holders applying a discrete choice experiment to investigate the propensity of harvesters to switch target species within a given permit and to better understand participation under rapid environmental and economic change, increasingly outside historical ranges. Availability of target species, price, and historical harvest were found to be relatively more important than environmental changes affecting operations and income, even though these factors were of concern to the long-term viability of their fishing businesses. The resulting behavioral model allows fisheries managers to anticipate declines in participation relevant for managing marine resources under rapid change. It also improves understanding of fisheries participation and harvester perception of climate impacts, relevant for policy makers developing climate resilient fisheries and supporting adaptation across fishing communities. The results and approach are generalizable to other resourcedependent sectors adapting to change outside historic ranges.
C1 [Schwoerer, Tobias] Univ Alaska Fairbanks, Int Arctic Res Ctr, POB 757340, Fairbanks, AK 99775 USA.
   [Berry, Kevin] Univ Alaska Anchorage, Coll Business & Publ Policy, 3211 Providence Dr, Anchorage, AK 99508 USA.
   [Dugan, Darcy G.] Alaska Ocean Observing Syst, 1007 3rd Ave,STE 100, Anchorage, AK 99501 USA.
   [Finnoff, David C.] Univ Wyoming, Dept Econ, 1000 Univ Ave, Laramie, WY 82071 USA.
   [Mayo, Molly] Meridian Inst, POB 1829, Dillon, CO 80435 USA.
   [Ohlberger, Jan] Univ Washington, Sch Aquat & Fishery Sci, 1122 NE Boat St,Box 355020, Seattle, WA 98195 USA.
   [Ward, Eric J.] Natl Marine Fisheries Serv, Conservat Biol Div, Northwest Fisheries Sci Ctr, Seattle, WA 98112 USA.
   [Ohlberger, Jan] Washington Dept Fish & Wildlife, 1111 Washington St SE, Olympia, WA 98501 USA.
C3 University of Alaska System; University of Alaska Fairbanks; University
   of Alaska System; University of Alaska Anchorage; University of Wyoming;
   University of Washington; University of Washington Seattle; National
   Oceanic Atmospheric Admin (NOAA) - USA; Washington Department of Fish &
   Wildlife (WDFW)
RP Schwoerer, T (corresponding author), Univ Alaska Fairbanks, Int Arctic Res Ctr, POB 757340, Fairbanks, AK 99775 USA.
EM tschwoerer@alaska.edu
RI Schwoerer, Tobias/AAA-3654-2020; Ohlberger, Jan/H-3262-2019
OI Schwoerer, Tobias/0000-0003-3061-1091
FU U.S. National Oceanic and Atmospheric Administration (NOAA) National
   Centers for Coastal Ocean Science; Ocean Acidification Program
   [NA18NOS4780180]
FX This work was supported by the U.S. National Oceanic and Atmospheric
   Administration (NOAA) National Centers for Coastal Ocean Science and the
   Ocean Acidification Program under grant NA18NOS4780180
CR ADFG, Federal Fishery Disasters
   ADFG, 2009, What kind of fishing boat is that?
   ADFG, 2021, Statewide Salmon Gross Earnings by Species Commercial Salmon Fisheries
   ADFG, 2021, Commercial Salmon Species Combined Historical Harvest Rankings
   Alaska Department of Fish and Game, 2019, KNB, DOI 10.5063/F14F1P2Q
   Anderson SC, 2017, P NATL ACAD SCI USA, V114, P10797, DOI 10.1073/pnas.1702506114
   Beardmore B, 2013, LEISURE SCI, V35, P273, DOI 10.1080/01490400.2013.780539
   Beaudreau AH, 2019, FISH FISH, V20, P601, DOI 10.1111/faf.12364
   Bentley RA, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00035
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Berry K, 2016, J ECON BEHAV ORGAN, V132, P177, DOI 10.1016/j.jebo.2016.06.007
   Boxall PC, 2002, ENVIRON RESOUR ECON, V23, P421, DOI 10.1023/A:1021351721619
   Branch TA, 2017, FISH FISH, V18, P114, DOI 10.1111/faf.12130
   Breffle WS, 2002, LAND ECON, V78, P298, DOI 10.2307/3147275
   Brodeur RD, 2008, PROG OCEANOGR, V77, P103, DOI 10.1016/j.pocean.2008.03.017
   Carothers C, 2013, MAR POLICY, V38, P515, DOI 10.1016/j.marpol.2012.08.007
   CFEC, 2021, Commercial Fisheries Entry Commission Basic Information Table
   CFEC, 2022, Alaska Commercial Fisheries Entry Commission Permit Database
   Chung CJ, 2011, AGRIBUSINESS, V27, P114, DOI 10.1002/agr.20252
   Constantino SM, 2021, SUSTAIN SCI, V16, P1651, DOI 10.1007/s11625-021-00989-w
   Cox SP, 2008, FISH RES, V94, P224, DOI 10.1016/j.fishres.2008.05.006
   Cunningham CJ, 2018, GLOBAL CHANGE BIOL, V24, P4399, DOI 10.1111/gcb.14315
   Dillman D. A., 2014, Internet, phone, mail, and mixed mode surveys: The tailored design method, V4th ed
   Du XN, 2023, ESTUAR COAST, V46, P388, DOI 10.1007/s12237-022-01144-z
   Duffield J, 2012, MAR RESOUR ECON, V27, P343, DOI 10.5950/0738-1360-27.4.343
   DUPONT DP, 1990, J ENVIRON ECON MANAG, V19, P26, DOI 10.1016/0095-0696(90)90058-7
   Edwards G., 2019, Comments Propos., V67
   Finnoff D, 2005, ECOL ECON, V52, P397, DOI 10.1016/j.ecolecon.2004.06.021
   Finnoff D, 2005, ECOL ECON, V52, P367, DOI 10.1016/j.ecolecon.2004.06.020
   Gelman A., 2014, BAYESIAN DATA ANAL
   Goethel DR, 2019, CAN J FISH AQUAT SCI, V76, P1895, DOI 10.1139/cjfas-2018-0162
   Hanley N, 2001, J ECON SURV, V15, P435, DOI 10.1111/1467-6419.00145
   Harrison HL, 2014, SAGE OPEN, V4, DOI 10.1177/2158244014555112
   HAUSMAN JA, 1995, J PUBLIC ECON, V56, P1, DOI 10.1016/0047-2727(93)01415-7
   Hensher DA, 2015, APPLIED CHOICE ANALYSIS, 2ND EDITION, P1, DOI 10.1017/CBO9781316136232
   Herrmann M, 2004, N AM J FISH MANAGE, V24, P352, DOI 10.1577/M02-086.1
   Hess S., 2014, Handbook of Choice Modelling, P311, DOI DOI 10.4337/9781781003152.00021
   Homan F., 2005, Limited Entry in Alaska's Commercial Fisheries
   Horan RD, 2018, ENVIRON RESOUR ECON, V70, P713, DOI 10.1007/s10640-018-0227-y
   Huber Joel., 1999, DEALING PRODUCT SIMI
   Jacobsen NS, 2022, ICES J MAR SCI, V79, P1120, DOI 10.1093/icesjms/fsac029
   Johnson R., 2003, Adaptive Choice-Based Conjoint
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   KARPOFF J, 1984, LAND ECON, V60, P69, DOI 10.2307/3146094
   Knapp G., 2007, GREAT SALMON RUN COM
   Knapp G., 2012, TRENDS ALASKA SALMON
   Knapp G, 2011, MAR POLICY, V35, P658, DOI 10.1016/j.marpol.2011.02.006
   Lancsar E, 2007, SOC SCI MED, V64, P1738, DOI 10.1016/j.socscimed.2006.12.007
   Lavrakas P.J., 2008, Encyclopedia of Survey Research Methods, P2455
   Lecher AL, 2017, HYDROLOGY-BASEL, V4, DOI 10.3390/hydrology4040061
   Levin J., 2004, INTRO CHOICE THEORY
   Lindkvist E, 2022, FISH FISH, V23, P1202, DOI 10.1111/faf.12678
   Litzow MA, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087972
   Litzow MA, 2020, PROG OCEANOGR, V186, DOI 10.1016/j.pocean.2020.102393
   Litzow MA, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.1855
   Mäntyniemi S, 2013, CAN J FISH AQUAT SCI, V70, P591, DOI 10.1139/cjfas-2012-0316
   Mapstone BD, 2008, FISH RES, V94, P315, DOI 10.1016/j.fishres.2008.07.013
   Nelson L. K., 2023, PLOS CLIMATE, V2, DOI DOI 10.1371/JOURNAL.PCLM.0000103
   Nielsen JR, 2018, FISH FISH, V19, P1, DOI 10.1111/faf.12232
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Ohlberger J, 2022, GLOBAL CHANGE BIOL, V28, P2026, DOI 10.1111/gcb.16049
   Ojea E, 2020, ONE EARTH, V2, P544, DOI 10.1016/j.oneear.2020.05.012
   Oke KB, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17726-z
   Orme B., 2010, Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research, P77
   Orme B., 2009, RES PAPER SERIES, P1
   Orme B.K., 2017, Part-Worth Utility Estimation. Becoming an Expert in Conjoint Analysis: Choice Modeling for Pros, P131
   Otto IM, 2020, P NATL ACAD SCI USA, V117, P2354, DOI 10.1073/pnas.1900577117
   Pardo B., 2002, Computer Music Journal, V26, P27, DOI 10.1162/014892602760137167
   Polasky S, 2011, J ENVIRON ECON MANAG, V62, P229, DOI 10.1016/j.jeem.2010.09.004
   Purcell JE, 2012, ANNU REV MAR SCI, V4, P209, DOI 10.1146/annurev-marine-120709-142751
   Remigante A, 2018, TOXINS, V10, DOI 10.3390/toxins10040133
   Royal K.D., 2019, Education in the Health Professions, V2, P48, DOI [DOI 10.4103/EHP.EHP_8_19, DOI 10.4103/EHP.EHP819]
   Ruggerone G.T., 2021, N PAC ANAD FISH COMM, V17, P78, DOI DOI 10.23849/NPAFCTR17/78.82
   Ruzicka JJ, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1324
   Sawtooth, 2022, Lighthouse Studio
   Sawtooth Software, 2022, Alternative-Specific Designs
   Schill C, 2019, NAT SUSTAIN, V2, P1075, DOI 10.1038/s41893-019-0419-7
   Schlüter M, 2017, ECOL ECON, V131, P21, DOI 10.1016/j.ecolecon.2016.08.008
   Schwermer H, 2020, YOUMARES 9 - THE OCEANS: OUR RESEARCH, OUR FUTURE, P21, DOI 10.1007/978-3-030-20389-4_2
   Schwoerer Tobias, 2023, NSF-ADC, DOI 10.18739/A2GF0MX8D
   Schwoerer T, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.110924
   Schwoerer Tobias, 2019, KNB, DOI 10.5063/F1NC5ZGW
   Sethi SA, 2014, MAR POLICY, V48, P134, DOI 10.1016/j.marpol.2014.03.027
   Silberberg E., 2000, The Structure of Economics: A Mathematical Analysis, V3rd
   Summers D.J., 2015, Alaska Journal of Commerce
   Suryan RM, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-83818-5
   Szymkowiak M, 2023, ENVIRON SCI POLICY, V140, P261, DOI 10.1016/j.envsci.2022.12.019
   Szymkowiak M, 2020, OCEAN COAST MANAGE, V197, DOI 10.1016/j.ocecoaman.2020.105321
   Team RC, 2021, R LANGUAGE ENV STAT
   TOWNSEND RE, 1985, LAND ECON, V61, P195, DOI 10.2307/3145812
   Trainer VL, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.03.009
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   van Zonneveld M, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00032
   Victor DG, 2015, NATURE, V520, P27, DOI 10.1038/520027a
   Waha K, 2018, GLOBAL CHANGE BIOL, V24, P3390, DOI 10.1111/gcb.14158
   Ward EJ, 2018, J APPL ECOL, V55, P1082, DOI 10.1111/1365-2664.13058
   Wilson L., 2022, ALASKA SALMON FISHER
NR 97
TC 2
Z9 2
U1 2
U2 10
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD NOV
PY 2023
VL 157
AR 105833
DI 10.1016/j.marpol.2023.105833
EA SEP 2023
PG 13
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA U3OO1
UT WOS:001083926500001
OA hybrid
DA 2025-01-10
ER

PT J
AU LaFevor, MC
   Frake, AN
   Couturier, S
AF LaFevor, Matthew C.
   Frake, April N.
   Couturier, Stephane
TI Targeting Irrigation Expansion to Address Sustainable Development
   Objectives: A Regional Farm Typology Approach
SO WATER
LA English
DT Article
DE crop water management; agricultural systems; agricultural policy; SDGs;
   Mexico
ID CLIMATE-CHANGE; VIRTUAL WATER; SUPPLEMENTAL IRRIGATION; MEXICO;
   AGRICULTURE; ALLEVIATION; SYSTEMS; STRESS
AB Sustainable water management is a core sustainable development goal (SDG) that also contributes to other SDGs, including food and water security, ecosystem health, and climate adaptation. To achieve these synergies, policies must target efforts to regions that best correspond with development objectives. This study designs a targeting strategy for irrigation expansion in southern Mexico-a region long considered to have strong potential for sustainable irrigation development. We use an integrated farm typology and decision tree approach to identify priority municipalities for irrigation expansion. We use multivariate statistics to examine the relationships among farm characteristics in 933 municipalities, classifying each according to four farm types: lowland, midland, midland-irrigated, and highland. We then partition municipalities into 11 farm-type subgroups, each ranked by priority level for receiving irrigation interventions following Mexico's National Water Program guidelines. Results identify a 'highest-priority' subgroup of 73 municipalities comprised mostly of midland and highland farm types. These types are characterized by low irrigation use, small farmland areas, high vulnerability to climate, high marginalization (poverty), strong representation from indigenous communities, low maize yield, and high rates of subsistence production. Findings provide a crucial first approximation of where irrigation expansion would best address water policy priorities and sustainable development objectives in southern Mexico. This study also provides a useful framework for scaling organizations tasked with targeting development efforts across large spatial scales.
C1 [LaFevor, Matthew C.; Frake, April N.] Univ Alabama, Dept Geog, Tuscaloosa, AL 35487 USA.
   [Frake, April N.] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48824 USA.
   [Couturier, Stephane] Univ Nacl Autonoma Mexico, Inst Geog, Lab Anal Geoespacial LAGE, Ciudad Univ,Apdo Postal 20850, Mexico City 04510, DF, Mexico.
   [Couturier, Stephane] Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Res Ctr Complex Sci, C3, Mexico City 04510, DF, Mexico.
C3 University of Alabama System; University of Alabama Tuscaloosa; Michigan
   State University; Universidad Nacional Autonoma de Mexico; Universidad
   Nacional Autonoma de Mexico
RP LaFevor, MC (corresponding author), Univ Alabama, Dept Geog, Tuscaloosa, AL 35487 USA.
EM mclafevor@ua.edu; afrake@ua.edu; andres@igg.unam.mx
RI Couturier, Stephane/AAO-8518-2021
OI LaFevor, Matthew/0000-0002-0988-4768
CR Allain S, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0529-z
   Alvarez S, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194757
   [Anonymous], 2009, RAINFED AGR UNLOCKIN
   Cortes FIA, 2019, IRRIG DRAIN, V68, P6, DOI 10.1002/ird.2242
   Bigelow DP, 2018, ECOL ECON, V154, P156, DOI 10.1016/j.ecolecon.2018.07.015
   Blanco-Gutiérrez I, 2013, J ENVIRON MANAGE, V128, P144, DOI 10.1016/j.jenvman.2013.04.037
   Boretti A, 2019, NPJ CLEAN WATER, V2, DOI 10.1038/s41545-019-0039-9
   Brooks DB, 2011, INT J WATER RESOUR D, V27, P315, DOI 10.1080/07900627.2011.571235
   Cervantes-Jiménez M, 2017, WATER-SUI, V9, DOI 10.3390/w9010014
   CONAGUA, 2018, Estadisticas del Agua en Mexico 2018, V2018th
   CONAPO, 2020, IND MARG MUN 2005
   Cortes F., 2011, Estudios Sociologicos, VXXIX, P361
   Crow-Miller B, 2017, WATER ALTERN, V10, P195
   Dalin C, 2019, GLOB SUSTAIN, V2, DOI [10.1017/S2059479819000073, 10.1017/sus.2019.7]
   Davis KF, 2017, ADV WATER RESOUR, V99, P67, DOI 10.1016/j.advwatres.2016.11.015
   Dell'Angelo J, 2018, ECOL ECON, V143, P276, DOI 10.1016/j.ecolecon.2017.06.033
   DOF, 2020, PROGR NACL HIDR 2020
   Dong HJ, 2019, J CLEAN PROD, V235, P328, DOI 10.1016/j.jclepro.2019.06.305
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Frelat R, 2016, P NATL ACAD SCI USA, V113, P458, DOI 10.1073/pnas.1518384112
   Garcia Chong N.R., 2010, RA XIMHAI, P115, DOI [10.35197/rx.06.01.2010.14.ng, DOI 10.35197/RX.06.01.2010.14.NG]
   Giordano M, 2019, SUSTAINABLE FOOD AND AGRICULTURE: AN INTEGRATED APPROACH, P75, DOI 10.1016/B978-0-12-812134-4.00005-4
   Giordano M, 2021, INT J WATER RESOUR D, V37, P137, DOI 10.1080/07900627.2019.1576508
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Grassini P, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3918
   Grogan DS, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5fb2
   Guarín A, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100389
   Hammond J, 2017, AGR SYST, V154, P1, DOI 10.1016/j.agsy.2017.02.009
   Hammond J, 2020, AGR SYST, V183, DOI 10.1016/j.agsy.2020.102857
   Hussain I, 2004, IRRIG DRAIN, V53, P1, DOI 10.1002/ird.114
   Jägermeyr J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/025002
   Jägermeyr J, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15900
   Jaramillo S, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.437086
   KAISER HF, 1960, EDUC PSYCHOL MEAS, V20, P141, DOI 10.1177/001316446002000116
   Kampas A, 2017, WATER RESOUR MANAG, V31, P1257, DOI 10.1007/s11269-017-1574-0
   Katsiardi P., 2005, Glob. NEST J, V7, P360
   Kemeze FH, 2020, WATER RESOUR ECON, V31, DOI 10.1016/j.wre.2020.100160
   Kroll C, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0335-5
   Kuivanen KS, 2016, NJAS-WAGEN J LIFE SC, V78, P153, DOI 10.1016/j.njas.2016.04.003
   LaFevor MC, 2021, LAND-BASEL, V10, DOI 10.3390/land10070740
   LaFevor MC, 2020, J LAND USE SCI, V15, P532, DOI 10.1080/1747423X.2020.1800849
   Lancon J, 2007, AGRON SUSTAIN DEV, V27, P101, DOI 10.1051/agro:2006037
   Lee H.N., 2016, ACCESS REGIMES IRRIG
   López-Morales C, 2011, ECON SYST RES, V23, P387, DOI 10.1080/09535314.2011.635138
   MacDonald GK, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/091001
   Galeana-Pizaña JM, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103091
   McCartney MP, 2019, MAR FRESHWATER RES, V70, P1201, DOI 10.1071/MF19161
   Neri C, 2016, WEATHER CLIM SOC, V8, P95, DOI 10.1175/WCAS-D-15-0005.1
   Otazo-Sanchez E.M., WATER AVAILABILITY M, DOI [10.1007/978-3-030-24962-5_1, DOI 10.1007/978-3-030-24962-5_1]
   Palazzo A., 2019, POLICY REWORKING P
   Pereira LS, 2017, WATER RESOUR MANAG, V31, P2985, DOI 10.1007/s11269-017-1664-z
   Florez CEP, 2014, REV PANAM SALUD PUBL, V35, P1
   Puy A, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087360
   Ray C, 2018, WATER INT, V43, P717, DOI 10.1080/02508060.2018.1515564
   Ríos-Carmenado Ignacio De los, 2011, Agrociencia, V45, P609
   Rogers S, 2020, GEOGR RES-AUST, V58, DOI 10.1111/1745-5871.12361
   Rosa L, 2020, P NATL ACAD SCI USA, V117, P29526, DOI 10.1073/pnas.2017796117
   Rosa L, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz6031
   Rosa L, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4bfc
   Samberg LH, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124010
   Seekell DA, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/2/024017
   SEMARNAT, 2020, NAT DET CONTR, P42
   SIAP, 2020, EST PROD AGR 2002200
   Silva George., 2018, Feeding the World in 2050 and Beyond-Part 1: Productivity Challenges
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Teixeira HM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124337
   Tittonell P, 2020, AGR SYST, V178, DOI 10.1016/j.agsy.2019.102714
   Turrent Fernandez A., 2004, Agricultura Tecnica en Mexico, V30, P153
   Turrent-Fernández Antonio, 2016, Rev. Mex. Cienc. Agríc, V7, P1727
   Turrent-Fernandez A, 2009, CIENCIAS, V92, P126
   Turrent-Fernandez A., 2012, ACHIEVING MEXICOS MA, P40
   Vallino E, 2020, ENVIRON SCI POLICY, V114, P73, DOI 10.1016/j.envsci.2020.07.017
   Wada Y, 2014, NAT GEOSCI, V7, P615, DOI 10.1038/ngeo2241
   Webster E., 2020, RIGHT WATER FOOD AGR
   Wilder MO, 2020, WATER ALTERN, V13, P28
   Wingfield S, 2021, WATER-SUI, V13, DOI 10.3390/w13081017
   Wolfe SE, 2017, WATER INT, V42, P1, DOI 10.1080/02508060.2016.1248093
   Wood S., 1999, SPATIAL ASPECTS DESI, P85
   Zabel F, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10775-z
   Zhao X, 2016, WATER RESOUR RES, V52, P6916, DOI 10.1002/2016WR018595
   Zhao X, 2015, P NATL ACAD SCI USA, V112, P1031, DOI 10.1073/pnas.1404130112
NR 81
TC 6
Z9 6
U1 2
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD SEP
PY 2021
VL 13
IS 17
AR 2393
DI 10.3390/w13172393
PG 18
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA UO3CD
UT WOS:000694574700001
OA gold
DA 2025-01-10
ER

PT J
AU Beauchamp, E
   Hirons, M
   Brown, K
   Milner-Gulland, EJ
AF Beauchamp, Emilie
   Hirons, Mark
   Brown, Katrina
   Milner-Gulland, E. J.
TI Twenty priorities for future social-ecological research on climate
   resilience
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE research priorities; climate adaptation; climate governance; evidence
   generation; resilient development; social-ecological resilience
ID EXPERT ELICITATION; ADAPTIVE CAPACITY; URBAN RESILIENCE;
   DECISION-MAKING; FOOD SECURITY; EL-NINO; ADAPTATION; CONSERVATION;
   QUESTIONS; SYSTEMS
AB Faced with the global climate crisis and the inevitability of future climate shocks, enhancing social-ecological resilience has become an urgent area for research and policy internationally. Research to better understand the impacts of, and response to, climate shocks is critical to improve the resilience and well-being of affected people and places. This paper builds on the findings of a focus collection on this topic to provide a concluding and forward-looking perspective on the future of social-ecological research on climate resilience. Drawing on an expert workshop to identify research gaps, we distinguish 20 priorities for future research on climate resilience. These span four key themes: Systems and Scales, Governance and Knowledge, Climate Resilience and Development, and Sectoral Concerns. Given the need and urgency for evidence-based policies to address the climate crisis, the analysis considers the importance of understanding how findings on social-ecological resilience are used in policy, rather than solely focusing on how it is generated. Many of the priorities emphasise the governance systems within which climate research is produced, understood and used. We further reflect on the state of current evidence generation processes, emphasising that the involvement of a wider range of voices in the design, implementation and dissemination of climate resilience research is critical to developing the efficient and fair interventions it is meant to support.
C1 [Beauchamp, Emilie] Int Inst Environm & Dev, 80-86 Grays Inn Rd, London WC1X 8NH, England.
   [Beauchamp, Emilie; Milner-Gulland, E. J.] Univ Oxford, Dept Zool, 11a Mansfield Rd, Oxford OX1 3SZ, England.
   [Hirons, Mark] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England.
   [Brown, Katrina] Univ Exeter, Coll Life & Environm Sci, Geog, Exeter EX4 4RJ, Devon, England.
C3 University of Oxford; University of Oxford; University of Exeter
RP Beauchamp, E (corresponding author), Int Inst Environm & Dev, 80-86 Grays Inn Rd, London WC1X 8NH, England.; Beauchamp, E (corresponding author), Univ Oxford, Dept Zool, 11a Mansfield Rd, Oxford OX1 3SZ, England.
EM emilie.beauchamp@iied.org
OI Hirons, Mark/0000-0002-5020-7830
FU UK Natural Environment Research Council [NE/P00394X/1]; Department for
   International Development; NERC [NE/K010379/2, NE/P00394X/1] Funding
   Source: UKRI
FX This work was supported under grant NE/P00394X/1 of the UK Natural
   Environment Research Council and the Department for International
   Development. We thank all individuals who contributed questions during
   the workshop itself and the two-day conference. We are grateful to
   workshop participants and to all the Understanding the Impacts of the
   Current El Nino project teams who commented on the manuscript and
   contributed to articles in this special issue.
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
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Altizer S, 2013, SCIENCE, V341, P514, DOI 10.1126/science.1239401
   Anderson Simon, 2013, Climate Justice and International Development: Policy and Programming
   [Anonymous], 2016, CHANGING ROLE NGOS S
   [Anonymous], 2018, PRACTICAL PANARCHY A
   Anyamba A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-38034-z
   Arnold CraigAnthony., 2013, Environmental Law Reporter, V5, P10426
   Arora-Jonsson S, 2016, ECOL ECON, V121, P98, DOI 10.1016/j.ecolecon.2015.11.020
   Beauchamp E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab59c8
   Beauchamp E, 2019, DISASTERS, V43, pS295, DOI 10.1111/disa.12342
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Bennett NJ, 2016, CONSERV BIOL, V30, P582, DOI 10.1111/cobi.12681
   Berbés-Blázquez M, 2016, CURR OPIN ENV SUST, V19, P134, DOI 10.1016/j.cosust.2016.02.003
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Berry HL, 2018, NAT CLIM CHANGE, V8, P282, DOI 10.1038/s41558-018-0102-4
   Betteridge B, 2019, ENVIRON PLAN E-NAT, V2, P944, DOI 10.1177/2514848619853985
   Bielak AT, 2008, COMMUNICATING SCIENCE IN SOCIAL CONTEXTS: NEW MODELS, NEW PRACTICES, P201, DOI 10.1007/978-1-4020-8598-7_12
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Boonstra WJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-07966-210121
   Bowman M, 2019, CLIM POLICY, V19, P342, DOI 10.1080/14693062.2018.1513358
   Bremer S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.482
   Brooks N, 2009, DEV POLICY REV, V27, P741, DOI 10.1111/j.1467-7679.2009.00468.x
   Broto VC, 2013, INT J URBAN REGIONAL, V37, P1934, DOI 10.1111/1468-2427.12050
   Brown K, 2019, GLOBAL ENVIRON CHANG, V54, P61, DOI 10.1016/j.gloenvcha.2018.11.009
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Buizer J, 2016, P NATL ACAD SCI USA, V113, P4597, DOI 10.1073/pnas.0900518107
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P132, DOI [10.1038/NCLIMATE2492, 10.1038/nclimate2492]
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Choy SL, 2009, ECOLOGY, V90, P265, DOI 10.1890/07-1886.1
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cinner JE, 2015, NAT CLIM CHANGE, V5, P872, DOI 10.1038/NCLIMATE2690
   Clare A, 2017, GLOBAL ENVIRON CHANG, V46, P17, DOI 10.1016/j.gloenvcha.2017.07.001
   Corbera E, 2020, DEV CHANGE, V51, P167, DOI 10.1111/dech.12540
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cumming GS, 2020, CURR OPIN ENV SUST, V44, P26, DOI 10.1016/j.cosust.2020.02.005
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Fisher S, 2015, GEOGR J, V181, P73, DOI 10.1111/geoj.12078
   Fleishman E, 2011, BIOSCIENCE, V61, P290, DOI 10.1525/bio.2011.61.4.9
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fortnam M, 2021, AMBIO, V50, P174, DOI 10.1007/s13280-020-01321-z
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garmestani A S, 2016, SOCIAL ECOLOGICAL RE, P1, DOI [10.7312/garm16058.4, DOI 10.7312/GARM16058.4]
   GCF, 2018, GCF BRIEF AD PLANN P
   Giles-Corti B, 2016, LANCET, V388, P2912, DOI 10.1016/S0140-6736(16)30066-6
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Grecequet M, 2019, PALG S ENVIRON TRANS, P195, DOI 10.1007/978-3-319-97400-2_9
   Greene S., 2019, MONEY IT MATTERS DES
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Hamann M, 2018, ANNU REV ENV RESOUR, V43, P61, DOI 10.1146/annurev-environ-102017-025949
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Hawkins K, 1999, SMALL GR RES, V30, P235, DOI 10.1177/104649649903000205
   Hemming V, 2018, METHODS ECOL EVOL, V9, P169, DOI 10.1111/2041-210X.12857
   Hirons M, 2018, J RURAL STUD, V63, P120, DOI 10.1016/j.jrurstud.2018.08.010
   Hirons M, 2018, GEOFORUM, V91, P108, DOI 10.1016/j.geoforum.2018.02.032
   Hirons M, 2020, ENV RES LETT
   Hughes TP, 2005, TRENDS ECOL EVOL, V20, P380, DOI 10.1016/j.tree.2005.03.022
   Hugo G., 2017, New forms of urbanization: beyond the urban-rural dichotomy
   Jones L, 2017, REG ENVIRON CHANGE, V17, P229, DOI 10.1007/s10113-016-0995-2
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Knol AB, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-19
   Knutti R, 2008, PHILOS T R SOC A, V366, P4647, DOI 10.1098/rsta.2008.0169
   Kreppel K, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab26c7
   Kynn M, 2008, J ROY STAT SOC A STA, V171, P239
   Lemos MC, 2010, WIRES CLIM CHANGE, V1, P670, DOI 10.1002/wcc.71
   Lesniewska F, 2014, FOREST POLICY ECON, V48, P16, DOI 10.1016/j.forpol.2014.01.005
   Levine S, 2014, ADV NEUR IN, V27
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lukes S., 2005, Power: A Radical View, V2nd
   MacDonald AM, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab282f
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Maina J, 2016, REG ENVIRON CHANGE, V16, P881, DOI 10.1007/s10113-015-0807-0
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Marshall N. A., 2010, A framework for social adaptation to climate change: sustaining tropical coastal communitites and industries
   Martin-Breen P., 2011, Resilience: A literature review
   McCusker B, 2006, GEOFORUM, V37, P790, DOI 10.1016/j.geoforum.2005.09.007
   Mcdermott C, 2018, GOVERNANCE
   McPhaden MJ, 2015, NAT CLIM CHANGE, V5, P791, DOI 10.1038/nclimate2775
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Moon K, 2014, CONSERV BIOL, V28, P1167, DOI 10.1111/cobi.12326
   Morgan MG, 2014, P NATL ACAD SCI USA, V111, P7176, DOI 10.1073/pnas.1319946111
   Morrison TH, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101934
   Morrison TH, 2020, ONE EARTH, V2, P64, DOI 10.1016/j.oneear.2019.12.014
   Morrison TH, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.479
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Myers R, 2018, GLOBAL ENVIRON CHANG, V50, P314, DOI 10.1016/j.gloenvcha.2018.02.015
   Neimark B, 2019, ANN AM ASSOC GEOGR, V109, P613, DOI 10.1080/24694452.2018.1547567
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Nkiaka E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4dfe
   Paek H, 2017, GEOPHYS RES LETT, V44, P1848, DOI 10.1002/2016GL071515
   Pascual U, 2014, BIOSCIENCE, V64, P1027, DOI 10.1093/biosci/biu146
   Pauw WP, 2016, CLIMATIC CHANGE, V134, P489, DOI 10.1007/s10584-015-1539-3
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Pretty J, 2010, INT J AGR SUSTAIN, V8, P219, DOI 10.3763/ijas.2010.0534
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Qie L, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0783
   Renn O., 2017, RISK GOVERNANCE COPI
   Reyers B, 2018, ANNU REV ENV RESOUR, V43, P267, DOI 10.1146/annurev-environ-110615-085349
   Rudd MA, 2011, CONSERV BIOL, V25, P476, DOI 10.1111/j.1523-1739.2010.01625.x
   Santarnouris M, 2015, ENERG BUILDINGS, V98, P125, DOI 10.1016/j.enbuild.2014.08.050
   Satterthwaite D, 2016, ENVIRON URBAN, V28, P99, DOI 10.1177/0956247816628435
   Schipper E.L. F., 2015, Overseas Development Institute - Working, P30, DOI [DOI 10.13140/RG.2.1.2430.0882, 10.13140/RG.2.1.2430.0882]
   Scoones I, 2016, ANNU REV ENV RESOUR, V41, P293, DOI 10.1146/annurev-environ-110615-090039
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Smith J, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab2b1b
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Stone-Jovicich S, 2018, ECOL SOC, V23, DOI 10.5751/ES-10008-230141
   Stripple J, 2014, GOVERNING THE CLIMATE: NEW APPROACHES TO RATIONALITY, POWER AND POLITICS, P1
   Sutherland WJ, 2009, CONSERV BIOL, V23, P557, DOI 10.1111/j.1523-1739.2009.01212.x
   Sutherland WJ, 2013, J ECOL, V101, P58, DOI 10.1111/1365-2745.12025
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   UNSD, 2019, OV DG IND
   Usher W, 2013, ENERG POLICY, V61, P811, DOI 10.1016/j.enpol.2013.06.110
   Vercammen A, 2019, CONSERV BIOL, V33, P1247, DOI 10.1111/cobi.13335
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Wakefield S, 2018, GEOGR COMPASS, V12, DOI 10.1111/gec3.12377
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Warner BP, 2017, CURR OPIN ENV SUST, V29, P69, DOI 10.1016/j.cosust.2017.12.012
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Whitfield S, 2019, GLOBAL ENVIRON CHANG, V55, P1, DOI 10.1016/j.gloenvcha.2019.01.004
   Wilkinson CL, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0128
   Yeh SW, 2009, NATURE, V461, P511, DOI 10.1038/nature08316
   Zebiak SE, 2015, WIRES CLIM CHANGE, V6, P17, DOI 10.1002/wcc.294
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 140
TC 11
Z9 13
U1 14
U2 83
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 OCT
PY 2020
VL 15
IS 10
AR 105006
DI 10.1088/1748-9326/abb157
PG 11
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 NY5LO
UT WOS:000576431000001
OA gold
DA 2025-01-10
ER

PT J
AU Amadu, FO
   Miller, DC
   McNamara, PE
AF Amadu, Festus O.
   Miller, Daniel C.
   McNamara, Paul E.
TI Agroforestry as a pathway to agricultural yield impacts in climate-smart
   agriculture investments: Evidence from southern Malawi
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Agroforestry; Climate-smart agriculture; Double hurdle; Maize yield;
   Malawi
ID SOIL FERTILITY MANAGEMENT; FOOD SECURITY; RICE INTENSIFICATION;
   TECHNOLOGY ADOPTION; EASTERN; TREES; ADAPTATION; FARMERS; MODELS; SYSTEM
AB Agroforestry is widely promoted for delivering not only the main food security objective of climate-smart agriculture (CSA) but also increasing resilience and mitigating climate change. Yet rigorous estimates of the impact of this pathway on agricultural yields in CSA interventions remain limited. Here we analyze maize yield effects of agroforestry within a large CSA project, funded by the US Agency for International Development and implemented from 2009 to 2014 in southern Malawi. Using original survey data from 808 households across five districts, we apply a double hurdle specification with a control function approach to account for the endogeneity of CSA program participation and the intensity of agroforestry fertilizer trees (as a proxy for agroforestry adoption) in the study area. We find a positive and statistically significant yield effect of CSA program participation and the intensity of agroforestry fertilizer trees: maize yields increased, on average, by 20% for participation, and 2% for the intensity of fertilizer trees - a modest but useful result with implications for increasing agricultural productivity among smallholder farmers in sub-Saharan Africa and elsewhere. More broadly, our results show that incorporating agroforestry into CSA interventions could enhance agricultural yields among smallholder farmers in the face of climate change - a crucial aspect of sustainable development goals on hunger and climate adaptation.
C1 [Amadu, Festus O.; Miller, Daniel C.] Univ Illinois, Dept Nat Resources & Environm Sci, S-406 Turner Hall,1102 S Goodwin Ave, Urbana, IL 61801 USA.
   [McNamara, Paul E.] Univ Illinois, Dept Agr & Consumer Econ, 341 Mumford Hall,1301 W Gregory Dr, Urbana, IL 61801 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign;
   University of Illinois System; University of Illinois Urbana-Champaign
RP Amadu, FO (corresponding author), Univ Illinois, Dept Nat Resources & Environm Sci, S-406 Turner Hall,1102 S Goodwin Ave, Urbana, IL 61801 USA.; Amadu, FO (corresponding author), Univ Illinois, Dept Agr & Consumer Econ, 62 Mumford Hall,1301 W Gregory Dr, Urbana, IL 61801 USA.
EM amadu2@illinois.edu; dcmiller@illinois.edu; mcnamar1@illinois.edu
RI McNamara, Paul/IVR-9043-2023
OI Amadu, Festus/0000-0002-9973-7541; Miller, Daniel/0000-0001-6812-0314;
   McNamara, Paul/0000-0001-7692-4494
FU United States Agency for International Development (USAID), through the
   Borlaug Leadership Enhancement in Agriculture Program [016258-128];
   United States Agency for International Development (USAID), through the
   Strengthening Agriculture & Nutrition Extension (SANE) project
   [AID-612-LA-15-00003]; United States Department of Agriculture (USDA),
   through National Institute of Food & Agriculture Hatch project
   [1009327]; Association for International Agriculture & Rural Development
   through a Future Leaders' Fellowship
FX The authors acknowledge funding from the United States Agency for
   International Development (USAID), through the Borlaug Leadership
   Enhancement in Agriculture Program (Grant # 016258-128) and
   Strengthening Agriculture & Nutrition Extension (SANE) project (Grant #
   AID-612-LA-15-00003), United States Department of Agriculture (USDA),
   through National Institute of Food & Agriculture Hatch project #
   1009327. We also acknowledge supplemental funding from the Association
   for International Agriculture & Rural Development through a Future
   Leaders' Fellowship.
CR Adegbola P, 2007, AGR ECON-BLACKWELL, V37, P55, DOI 10.1111/j.1574-0862.2007.00222.x
   Ajayi OC, 2003, AGROFOREST SYST, V59, P317, DOI 10.1023/B:AGFO.0000005232.87048.03
   Ajayi OC, 2011, INT J AGR SUSTAIN, V9, P129, DOI 10.3763/ijas.2010.0554
   Alemayehu F, 2009, RESOUR CONSERV RECY, V53, P192, DOI 10.1016/j.resconrec.2008.11.007
   Amadu F.O., 2018, THESIS
   Amankwah A, 2016, AGR ECON-BLACKWELL, V47, P633, DOI 10.1111/agec.12261
   AMEMIYA T, 1984, J ECONOMETRICS, V24, P3, DOI 10.1016/0304-4076(84)90074-5
   [Anonymous], [No title captured]
   [Anonymous], 2016, Challenges facing agriculture and food security (Ethiopia)
   [Anonymous], 2018, Global Warming of 1.5C. An IPCC Special Report on the impacts of
   Asfaw S, 2016, FOOD SECUR, V8, P643, DOI 10.1007/s12571-016-0571-0
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Branca G, 2011, J ENVIRON DEV, V20, P278, DOI 10.1177/1070496511415645
   Chandra A, 2018, CLIM POLICY, V18, P526, DOI 10.1080/14693062.2017.1316968
   Chen WQ, 2018, 2018 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2018), P329, DOI 10.1109/APCCAS.2018.8605638
   Coulibaly JY, 2017, AGR SYST, V155, P52, DOI 10.1016/j.agsy.2017.03.017
   CRAGG JG, 1971, ECONOMETRICA, V39, P829, DOI 10.2307/1909582
   Dhanush Dinesh Dhanush Dinesh, 2017, Agriculture for Development, P4
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dillon B, 2017, FOOD POLICY, V67, P64, DOI 10.1016/j.foodpol.2016.09.015
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   Fasse A, 2013, ECOL ECON, V94, P86, DOI 10.1016/j.ecolecon.2013.07.008
   Félix GF, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0533-3
   Ferraro PJ, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2014.0267
   Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7
   Hope RA, 2007, WORLD DEV, V35, P1436, DOI 10.1016/j.worlddev.2007.04.006
   Ickowitz A, 2014, GLOBAL ENVIRON CHANG, V24, P287, DOI 10.1016/j.gloenvcha.2013.12.001
   Issahaku G, 2020, APPL ECON PERSPECT P, V42, P559, DOI 10.1093/aepp/ppz002
   Jerneck A, 2013, J RURAL STUD, V32, P114, DOI 10.1016/j.jrurstud.2013.04.004
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Kassie M, 2015, LAND USE POLICY, V42, P400, DOI 10.1016/j.landusepol.2014.08.016
   Katengeza SP, 2019, ECOL ECON, V156, P134, DOI 10.1016/j.ecolecon.2018.09.018
   Khonje MG, 2018, AGR ECON-BLACKWELL, V49, P599, DOI 10.1111/agec.12445
   Lambrecht I, 2014, WORLD DEV, V59, P132, DOI 10.1016/j.worlddev.2014.01.024
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Liverpool-Tasie LSO, 2014, AGR ECON-BLACKWELL, V45, P663, DOI 10.1111/agec.12114
   Ma WL, 2018, AM J AGR ECON, V100, P502, DOI 10.1093/ajae/aax079
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Mercer DE, 2004, AGROFOREST SYST, V61-2, P311, DOI 10.1023/B:AGFO.0000029007.85754.70
   Miller DC, 2017, FOREST POLICY ECON, V84, P47, DOI 10.1016/j.forpol.2016.12.005
   Mohebalian PM, 2018, ECOL ECON, V143, P64, DOI 10.1016/j.ecolecon.2017.06.038
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Munsell JF, 2018, AGROFOREST SYST, V92, P1387, DOI 10.1007/s10457-017-0084-7
   Ng'ombe JN, 2017, AGREKON, V56, P205, DOI 10.1080/03031853.2017.1312467
   Noltze M, 2013, ECOL ECON, V85, P59, DOI 10.1016/j.ecolecon.2012.10.009
   Noltze M, 2012, AGR SYST, V108, P64, DOI 10.1016/j.agsy.2012.01.003
   Oldekop JA, 2019, NAT SUSTAIN, V2, P421, DOI 10.1038/s41893-019-0277-3
   Pattanayak SK, 2003, AGROFOREST SYST, V57, P137
   Reed J, 2017, FOREST POLICY ECON, V84, P62, DOI 10.1016/j.forpol.2017.01.012
   Reichert C. M., 2014, WATERSHED DEV MALAWI
   Sida TS, 2018, AGR FOREST METEOROL, V248, P339, DOI 10.1016/j.agrformet.2017.10.013
   Sileshi GW, 2016, J ARID ENVIRON, V132, P1, DOI 10.1016/j.jaridenv.2016.03.002
   SINGH I, 1986, WORLD BANK ECON REV, V1, P149, DOI 10.1093/wber/1.1.149
   Soroko D., 2018, Consultancy Report
   Tesfamariam BY, 2018, FOOD SECUR, V10, P95, DOI 10.1007/s12571-017-0756-1
   TOBIN J, 1958, ECONOMETRICA, V26, P24, DOI 10.2307/1907382
   Ubilava D, 2018, AM J AGR ECON, V100, P239, DOI 10.1093/ajae/aax060
   van Noordwijk M, 2018, CURR OPIN ENV SUST, V34, P33, DOI 10.1016/j.cosust.2018.09.003
   Verkaart S, 2019, INT J AGR SUSTAIN, V17, P34, DOI 10.1080/14735903.2018.1559007
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Wooldridge JM, 2015, J HUM RESOUR, V50, P420, DOI 10.3368/jhr.50.2.420
   World Bank, 2017, WORLD DEV IND 2017, DOI DOI 10.1596/26447
   Yengwe J, 2018, EUR J AGRON, V99, P148, DOI 10.1016/j.eja.2018.07.004
NR 63
TC 72
Z9 76
U1 8
U2 78
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD JAN
PY 2020
VL 167
AR 106443
DI 10.1016/j.ecolecon.2019.106443
PG 17
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 KB8DI
UT WOS:000506719100009
OA Bronze
DA 2025-01-10
ER

PT J
AU Atallah, SS
   Gómez, MI
   Jaramillo, J
AF Atallah, Shady S.
   Gomez, Miguel I.
   Jaramillo, Juliana
TI A Bioeconomic Model of Ecosystem Services Provision: Coffee Berry Borer
   and Shade-grown Coffee in Colombia
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Coffee agroforestry systems; Colombia; Computational methods;
   Bioeconomic models; Ecosystem services; Ecological production function;
   Ecosystem-based adaptation; Pest control; Coffee berry borer
ID HYPOTHENEMUS-HAMPEI COLEOPTERA; BIODIVERSITY; CACAO; CURCULIONIDAE;
   CONSERVATION; REDUCTION; SYSTEMS; TRADE; YIELD; TREES
AB Transitioning from intensive, sun-grown to shade-grown coffee systems is promoted as a promising ecosystem based climate adaptation strategy. Intercropping shade trees with coffee shrubs can produce multiple ecosystem services. Depending on the shade cover levels, however, the joint production of these services might be complementary or competitive based on their impacts on coffee yields. We develop a computational, bioeconomic model to find the range of shade level for which a coffee farmer is better off under. a shade-grown system compared to a sun-grown system, in the presence of coffee berry borer (CBB) infestations. We model the plant level provision of shade-induced pest control services, crop growth services, and timber, and consider in the baseline case a net price premium for shade-grown coffee. Using parameters from coffee regions in Colombia, our baseline simulation results indicate that, in the presence of a CBB infestation, the expected net present values in the shade-grown system can be higher but only for shade cover levels between 11% and 34%. The optimal shading level is 25% in the baseline scenario. It increases to 27% for greater values of crop growth ecosystem services and decreases to 20% in the absence of a price premium for shade-grown coffee.
C1 [Atallah, Shady S.] Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA.
   [Gomez, Miguel I.] Cornell Univ, Dyson Sch Appl Econ & Management, Ithaca, NY 14853 USA.
   [Jaramillo, Juliana] Bayer CropSci, D-6100 Monheim, Germany.
C3 University System Of New Hampshire; University of New Hampshire; Cornell
   University; Bayer AG; Bayer CropScience
RP Atallah, SS (corresponding author), 56 Coll Rd, Durham, NH 03824 USA.
EM shadi.atallah@unh.edu; mig7@cornell.edu; juliana.jaramillo@bayer.com
RI Gomez, Miguel/AAD-3707-2019; Atallah, Shady/AFR-7527-2022
OI Atallah, Shady S./0000-0002-9715-6268
FU Atkinson Center for Sustainable Futures at Cornell University; Institute
   for the Social Sciences at Cornell University
FX The authors acknowledge support from the Atkinson Center for Sustainable
   Futures and the Institute for the Social Sciences at Cornell University.
   The authors are grateful to Pablo Benavides Machado, Thomas Hertel,
   David Simpson, and two anonymous reviewers for comments. Any errors are
   solely the authors'.
CR [Anonymous], 2013, Individual-based Modeling and Ecology. Individual-based modeling and ecology, DOI DOI 10.1515/9781400850624
   [Anonymous], ANDEAN CLIMATE COFFE
   [Anonymous], 2016, QUICK GUID COFF CERT
   [Anonymous], HDB COMPUTATIONAL EC
   Atallah SS, 2017, LAND ECON, V93, P209, DOI 10.3368/le.93.2.209
   Atallah SS, 2015, AM J AGR ECON, V97, P199, DOI 10.1093/ajae/aau032
   Avelino J., 2011, Ecosystem Services from Agriculture and Agroforestry: Measurement and Payment, P91
   Barbier EB, 2007, ECON POLICY, P178, DOI 10.1111/j.1468-0327.2007.00174.x
   Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005
   BEER J, 1987, AGROFOREST SYST, V5, P3, DOI 10.1007/BF00046410
   Beer J, 1997, AGROFOREST SYST, V38, P139, DOI 10.1023/A:1005956528316
   Blackman A., 2005, RESOURCES FUTURE DIS
   Brosi BJ, 2008, CONSERV LETT, V1, P27, DOI 10.1111/j.1755-263X.2008.00004.x
   Chalak M, 2017, AM J AGR ECON, V99, P123, DOI 10.1093/ajae/aaw043
   Chamorro G., 1994, Cenicafe, V45, P164
   Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105
   Duque H., 2003, Devouring profit; the socio-economics of coffee berry borer
   Epanchin-Niell RS, 2012, J ENVIRON ECON MANAG, V63, P260, DOI 10.1016/j.jeem.2011.10.003
   Federacion Nacional de Cafeteros de Colombia (FNC), 2014, ENS EC CAF NO 30
   Ferraro PJ, 2005, ENVIRON RESOUR ECON, V32, P419, DOI 10.1007/s10640-005-7962-6
   Gobbi JA, 2000, ECOL ECON, V33, P267, DOI 10.1016/S0921-8009(99)00147-0
   Gómez MI, 2011, SCIENCE, V332, P1154, DOI 10.1126/science.1202543
   Heckbert S, 2010, ANN NY ACAD SCI, V1185, P39, DOI 10.1111/j.1749-6632.2009.05286.x
   Jaramillo J, 2006, B ENTOMOL RES, V96, P223, DOI 10.1079/BER2006434
   Jaramillo J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0051815
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Jaramillo J, 2010, J ECON ENTOMOL, V103, P1159, DOI 10.1603/EC09408
   Jaramillo J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006487
   Johnson MD, 2010, ANIM CONSERV, V13, P140, DOI 10.1111/j.1469-1795.2009.00310.x
   JUDSON OP, 1994, TRENDS ECOL EVOL, V9, P9, DOI 10.1016/0169-5347(94)90225-9
   Keitt TH, 2009, ECOL APPL, V19, P1561, DOI 10.1890/08-0117.1
   Kitti M, 2009, ENVIRON DEV ECON, V14, P739, DOI 10.1017/S1355770X09005208
   Liegel L.H., 1990, AGR HDB, V2, P270
   Lin BB, 2007, AGR FOREST METEOROL, V144, P85, DOI 10.1016/j.agrformet.2006.12.009
   Mangina F.L, 2010, 23 INT C COFF SCI BA
   Millard E, 2011, ENVIRON MANAGE, V48, P365, DOI 10.1007/s00267-011-9685-5
   Miller JH, 2007, PRINC STUD COMPLEX, P1, DOI 10.1007/1-4020-5602-8_1
   MUSSAK MF, 1989, AGROFOREST SYST, V9, P155, DOI 10.1007/BF00168260
   Perfecto I, 2005, ECOL ECON, V54, P435, DOI 10.1016/j.ecolecon.2004.10.009
   Railsback SF, 2014, P NATL ACAD SCI USA, V111, P6109, DOI 10.1073/pnas.1320957111
   Ramirez OA, 2000, J AGR RESOUR ECON, V25, P267
   Rueda X, 2013, ECOL SOC, V18, DOI 10.5751/ES-05595-180321
   Ruiz-Cardenas R, 2009, SCI AGR, V66, P100, DOI 10.1590/S0103-90162009000100014
   Siebert SF, 2002, BIODIVERS CONSERV, V11, P1889, DOI 10.1023/A:1020804611740
   SOMARRIBA E, 1992, AGROFOREST SYST, V18, P69, DOI 10.1007/BF00114817
   Somarriba E, 2001, AGROFOREST SYST, V53, P195, DOI 10.1023/A:1013380605176
   Soto-Pinto L, 2000, AGR ECOSYST ENVIRON, V80, P61, DOI 10.1016/S0167-8809(00)00134-1
   Takahashi R, 2013, J ENVIRON MANAGE, V130, P48, DOI 10.1016/j.jenvman.2013.08.025
   Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002
   Vega FE, 2003, NATURE, V425, P343, DOI 10.1038/425343a
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Wolfram S., 1986, Theory and Applications of Cellular Automata
   Wossink A, 2007, ECOL ECON, V64, P297, DOI 10.1016/j.ecolecon.2007.07.003
NR 54
TC 25
Z9 31
U1 4
U2 85
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2018
VL 144
BP 129
EP 138
DI 10.1016/j.ecolecon.2017.08.002
PG 10
WC Ecology; Economics; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Business & Economics
GA FQ1HV
UT WOS:000418108500012
DA 2025-01-10
ER

PT J
AU Verkerk, PJ
   Sánchez, A
   Libbrecht, S
   Broekman, A
   Bruggeman, A
   Daly-Hassen, H
   Giannakis, E
   Jebari, S
   Kok, K
   Klemencic, AK
   Magjar, M
   de Arano, IM
   Robert, N
   Smolar-Zvanut, N
   Varela, E
   Zoumides, C
AF Verkerk, Pieter Johannes
   Sanchez, Anabel
   Libbrecht, Steven
   Broekman, Annelies
   Bruggeman, Adriana
   Daly-Hassen, Hamed
   Giannakis, Elias
   Jebari, Sihem
   Kok, Kasper
   Klemencic, Aleksandra Krivograd
   Magjar, Manca
   de Arano, Inazio Martinez
   Robert, Nicolas
   Smolar-Zvanut, Natasa
   Varela, Elsa
   Zoumides, Christos
TI A Participatory Approach for Adapting River Basins to Climate Change
SO WATER
LA English
DT Article
DE adaptation; fuzzy cognitive mapping; climate change; multi-criteria
   analysis; participation; river basin; water management
ID FUZZY COGNITIVE MAPS; CHANGE ADAPTATION; WATER SCARCITY; FRAMEWORK;
   MANAGEMENT; SCENARIOS; VULNERABILITY; IRRIGATION; PATHWAYS; IMPACTS
AB Climate change is expected to reduce water availability in the Mediterranean region and water management needs to adapt to future conditions. The aims of this study were (1) to develop a participatory approach for identifying and evaluating management options for river basin climate adaptation and (2) to apply and evaluate the approach in four case-study river basins across the Mediterranean. As part of the approach, a diverse group of stakeholders joined a series of workshops and consultations in four river basins located in Cyprus, Slovenia, Spain and Tunisia. In each river basin, stakeholders expressed their views on challenges in their river basins, as well as options to tackle these challenges. We used the information on challenges, as well as the factors contributing to these challenges to develop a fuzzy cognitive map for each basin. These maps were converted into mathematical models and were used to assess the impact of a total of 102 suggested management options for the four river basins. We linked the options and their estimated impacts with a multi-criteria analysis to identify the most preferred options. The approach was positively evaluated by the participating stakeholders and allowed the link of stakeholders' knowledge and perceptions about their river basin with their preferences for options to adapt the management of their river basins to future conditions.
C1 [Verkerk, Pieter Johannes; de Arano, Inazio Martinez; Robert, Nicolas; Varela, Elsa] European Forest Inst, Mediterranean Reg Off, St Antoni M Claret 167, Barcelona 08025, Spain.
   [Sanchez, Anabel; Broekman, Annelies] Ctr Ecol Res & Forestry Applicat, Cerdanyola Del Valles 08193, Spain.
   [Libbrecht, Steven] Prospex Bvba, Vlugestal 6, B-3140 Keerbergen, Belgium.
   [Bruggeman, Adriana; Giannakis, Elias; Zoumides, Christos] Cyprus Inst, Energy Environm & Water Res Ctr, 20 Konstantinou Kavafi St, CY-2121 Nicosia, Cyprus.
   [Daly-Hassen, Hamed; Jebari, Sihem] Natl Res Inst Rural Engn Water & Forests, Rue Hedi Karray, Ariana 2080, Tunisia.
   [Kok, Kasper] Wageningen Univ, Soil Geog & Landscape Grp, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
   [Klemencic, Aleksandra Krivograd; Magjar, Manca; Smolar-Zvanut, Natasa] Inst Water Republ Slovenia, Dunajska Cesta 156, SI-1121 Ljubljana, Slovenia.
   [Klemencic, Aleksandra Krivograd] Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, SI-1000 Ljubljana, Slovenia.
C3 Centro de Investigacion Ecologica y Aplicaciones Forestales
   (CREAF-CERCA); Universite de Carthage; Wageningen University & Research;
   University of Ljubljana
RP Verkerk, PJ (corresponding author), European Forest Inst, Mediterranean Reg Off, St Antoni M Claret 167, Barcelona 08025, Spain.
EM hans.verkerk@efi.int; anabel@creaf.uab.es; steven.libbrecht@prospex.com;
   a.broekman@creaf.uab.cat; a.bruggeman@cyi.ac.cy;
   dalyhassen.hamed@iresa.agrinet.tn; e.giannakis@cyi.ac.cy;
   sihem.jebari@gmail.com; kasper.kok@wur.nl;
   aleksandra.krivograd-klemencic@fgg.uni-lj.si; manca.magjar@gmail.com;
   inazio.martinez@efi.int; nicolas.robert@gmx.net;
   natasa.smolar-zvanut@gov.si; elsa.varela@upc.edu; c.zoumides@cyi.ac.cy
RI Bruggeman, Adriana/J-6345-2013; Kok, Kenneth/F-3264-2013; Daly-Hassen,
   Hamed/ABF-8116-2020; Giannakis, Elias/AFT-5927-2022; Libbrecht,
   Sasha/AAW-8186-2021; Zoumides, Christos/M-9586-2018; Varela,
   Elsa/B-3928-2017
OI Zoumides, Christos/0000-0003-0998-3878; Broekman,
   Annelies/0000-0002-8961-0467; Varela, Elsa/0000-0001-9312-6187;
   Sanchez-Plaza, Anabel/0000-0001-6676-5119; Kok,
   Kasper/0000-0002-6319-9227; Martinez de Arano, Inazio
   Maria/0000-0002-9680-6054; Daly-Hassen, Hamed/0000-0001-8712-6252;
   Verkerk, Pieter Johannes/0000-0001-5322-8007; Giannakis,
   Elias/0000-0002-1779-9811; JEBARI, Sihem/0000-0002-4086-3244
FU EU [612385]
FX This work has been funded through the EU 7th framework project BeWater
   (grant agreement 612385). The authors thank all stakeholders for their
   active and constructive participation during the workshops and
   consultations, Marjan Maes, Roxana Dude, Martin Watson, Valerie Boiten,
   Marc Gramberger for their support during the workshops, Andrea Leone for
   support in the workshop evaluations, Ines Saidi, Doha Zamel, Hedia
   Ezdin, Dalel Oussaifi, Katerina Charalambous, Marinos Eliades and
   Corrado Camera for providing technical support and all BeWater partners
   for providing comments on the approach. The authors also thank three
   anonymous reviewers for their valuable comments. Opinions expressed in
   this paper are those of the authors only.
CR Anthony EJ, 2014, EARTH-SCI REV, V139, P336, DOI 10.1016/j.earscirev.2014.10.003
   Broekman A., TORDERA RIVER BASIN
   Cakmak EH, 2013, J WATER CLIM CHANGE, V4, P131, DOI 10.2166/wcc.2013.029
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Faysse N, 2014, REG ENVIRON CHANGE, V14, pS57, DOI 10.1007/s10113-012-0362-x
   Ferguson G, 2012, NAT CLIM CHANGE, V2, P342, DOI [10.1038/NCLIMATE1413, 10.1038/nclimate1413]
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Freeman R. E., 1984, STRATEG MANAG
   Garcia-Prats A, 2016, WATER RESOUR RES, V52, P8277, DOI 10.1002/2015WR018273
   Gerten D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034032
   Giannakis E., PEDIEOS RIVER BASIN
   Giannakis E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8101023
   Giannakis E, 2016, WATER SCI TECH-W SUP, V16, P245, DOI 10.2166/ws.2015.136
   Giannakis E, 2015, LAND USE POLICY, V45, P26, DOI 10.1016/j.landusepol.2014.12.009
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   Girard C, 2015, GLOBAL ENVIRON CHANG, V34, P132, DOI 10.1016/j.gloenvcha.2015.07.002
   Gramberger M, 2015, CLIMATIC CHANGE, V128, P201, DOI 10.1007/s10584-014-1225-x
   Gray SA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07396-200211
   Haasnoot M, 2011, SUSTAIN DEV, V19, P369, DOI 10.1002/sd.438
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Harrison PA, 2013, REG ENVIRON CHANGE, V13, P761, DOI 10.1007/s10113-012-0361-y
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   Iital A, 2011, J WATER CLIM CHANGE, V2, P154, DOI 10.2166/wcc.2011.007
   Jebari S., RMEL RIVER BASIN ADA
   Jetter AJ, 2014, FUTURES, V61, P45, DOI 10.1016/j.futures.2014.05.002
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Kochskämper E, 2016, J ENVIRON MANAGE, V181, P737, DOI 10.1016/j.jenvman.2016.08.007
   Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003
   Konzmann M, 2013, HYDROLOG SCI J, V58, P88, DOI 10.1080/02626667.2013.746495
   KOSKO B, 1986, INT J MAN MACH STUD, V24, P65, DOI 10.1016/S0020-7373(86)80040-2
   Kuemmerle T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064020
   Levers C., 2015, EUROPE REG ENV CHANG, V1, P18, DOI [10.1007/s10113-015-0907-x, DOI 10.1007/S10113-015-0907-X]
   Magjar M., VIPAVA RIVER BASIN A
   Rico-Amoros AM, 2009, LAND USE POLICY, V26, P493, DOI 10.1016/j.landusepol.2008.07.002
   Mouratiadou I, 2007, ECOL ECON, V62, P66, DOI 10.1016/j.ecolecon.2007.01.009
   OECD (Organisation for Economic Co-operation and Development), 2015, STAK ENG INCL WAT GO
   Özesmi U, 2004, ECOL MODEL, V176, P43, DOI 10.1016/j.ecolmodel.2003.10.027
   Özesmi U, 2003, ENVIRON MANAGE, V31, P518, DOI 10.1007/s00267-002-2841-1
   Pahl-Wostl C., 2007, Ecology and Society, V12, P30
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Penn AS, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078319
   Poff NL, 2016, NAT CLIM CHANGE, V6, P25, DOI [10.1038/nclimate2765, 10.1038/NCLIMATE2765]
   Quevauviller P, 2014, J HYDROL, V518, P180, DOI 10.1016/j.jhydrol.2014.02.007
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Sterling SM, 2013, NAT CLIM CHANGE, V3, P385, DOI [10.1038/NCLIMATE1690, 10.1038/nclimate1690]
   United Nations, 2015, WORLD POPULATION PRO
   van Vliet M, 2015, MITIG ADAPT STRAT GL, V20, P43, DOI 10.1007/s11027-013-9479-6
   van Vliet M, 2010, FUTURES, V42, P1, DOI 10.1016/j.futures.2009.08.005
   Vanclay J., 2006, Realizing Community Futures: A Practical Guide to Harnessing Natural Resources
   Vanham D, 2013, ECOL INDIC, V26, P61, DOI 10.1016/j.ecolind.2012.10.021
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Wright SAL, 2011, ECOL ECON, V70, P2268, DOI 10.1016/j.ecolecon.2011.07.023
NR 52
TC 25
Z9 27
U1 3
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2017
VL 9
IS 12
AR 958
DI 10.3390/w9120958
PG 16
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA FR7DB
UT WOS:000419225500052
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Zonato, V
   Collins, L
   Pegoraro, M
   Tauber, E
   Kyriacou, CP
AF Zonato, Valeria
   Collins, Lewis
   Pegoraro, Mirko
   Tauber, Eran
   Kyriacou, Charalambos P.
TI Is diapause an ancient adaptation in <i>Drosophila</i>?
SO JOURNAL OF INSECT PHYSIOLOGY
LA English
DT Article
DE Diapause; Seasonal; Termination; Drosophila
ID LIFE-HISTORY; CLIMATIC ADAPTATION; NATURAL-SELECTION; GENETIC-VARIATION;
   OVARIAN DORMANCY; COLD TOLERANCE; MELANOGASTER; POLYMORPHISM; CLINES;
   IDENTIFICATION
AB D. melanogaster enters a state of reproductive arrest when exposed to low temperatures (12 C-omicron) and shorter photoperiods. A number of studies have suggested that diapause has recently evolved in European D. melanogaster populations, that it is not present in the sibling species D. simulans, that it is non-photoperiodic in American D. melanogaster populations, and that it spontaneously terminates after 6-8 weeks. We have studied the overwintering phenotype under different conditions and observe that American, European and, surprisingly, African D. melanogaster populations can show photoperiodic diapause, as can European, but not African D. simulans. Surprisingly other Drosophila species from pan tropical regions can also show significant levels of photoperiodic diapause. We observe that spontaneous termination of diapause after a few weeks can be largely avoided with a more realistic winter simulation for D. melanogaster, but not D. simulans. Examining metabolite accumulation during diapause reveals that the shallow diapause of D. melanogaster has similar features to that of other more robustly-diapausing species. Our results suggest that diapause may be an ancient character that emerged in the tropics to resist unfavourable seasonal conditions and which has been enhanced during D. melanogaster's colonisation of temperate regions. Our results also highlight how different methodologies to quantify diapause can lead to apparently conflicting results that we believe can now largely be resolved. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Zonato, Valeria; Collins, Lewis; Pegoraro, Mirko; Tauber, Eran; Kyriacou, Charalambos P.] Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England.
   [Tauber, Eran] Univ Haifa, Dept Evolutionary & Environm Biol, IL-3498838 Haifa, Israel.
C3 University of Leicester; University of Haifa
RP Kyriacou, CP (corresponding author), Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England.
EM cpk@leicester.ac.uk
RI Pegoraro, Mirko/AHC-9237-2022; Tauber, Eran/F-9826-2011
OI Tauber, Eran/0000-0003-4018-6535; Collins, Lewis/0000-0002-3717-7526;
   Pegoraro, Mirko/0000-0001-9381-5249
FU BBSRC; European Commission (6th Framework, EUCLOCK grant) [018741];
   NERC; BBSRC [BB/K001922/1, BB/F014082/1, BB/G02085X/1] Funding Source:
   UKRI
FX VZ was partly supported by a BBSRC studentship and by the European
   Commission (6th Framework, EUCLOCK grant no 018741) to CPK. CPK and ET
   gratefully acknowledge grant support from the BBSRC and NERC. LC was
   supported by a BBSRC studentship.
CR AQUADRO CF, 1988, GENETICS, V119, P875
   Cogni R, 2014, EVOLUTION, V68, P538, DOI 10.1111/evo.12291
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   DENLINGER DL, 1986, ANNU REV ENTOMOL, V31, P239, DOI 10.1146/annurev.en.31.010186.001323
   Emerson KJ, 2009, J COMP PHYSIOL A, V195, P825, DOI 10.1007/s00359-009-0460-5
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   Guo Q, 2015, GENE, V565, P106, DOI 10.1016/j.gene.2015.03.070
   Heydari M, 2014, B ENTOMOL RES, V104, P592, DOI 10.1017/S0007485314000364
   Hodkova M, 2004, EUR J ENTOMOL, V101, P445, DOI 10.14411/eje.2004.064
   King R. C., 1970, Int. Rev. Cytol., V28, P125, DOI 10.1016/S0074-7696(08)62542-5
   Kubrak OI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113051
   LANKINEN P, 1986, J COMP PHYSIOL A, V159, P123, DOI 10.1007/BF00612503
   Lee SF, 2011, MOL ECOL, V20, P2973, DOI 10.1111/j.1365-294X.2011.05155.x
   Lu YX, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099948
   Machado HE, 2016, MOL ECOL
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Pegoraro M, 2017, J INSECT PHYSIOL, V98, P238, DOI 10.1016/j.jinsphys.2017.01.015
   Pool JE, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003080
   Pullin AS, 1996, EUR J ENTOMOL, V93, P121
   Rozsypal J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061745
   Salminen TS, 2015, SCI REP-UK, V5, DOI 10.1038/srep11197
   Sandrelli F, 2007, SCIENCE, V316, P1898, DOI 10.1126/science.1138426
   Sasibhushan S, 2013, GENOMICS, V102, P379, DOI 10.1016/j.ygeno.2013.07.007
   SAUNDERS DS, 1973, SCIENCE, V181, P358, DOI 10.1126/science.181.4097.358
   SAUNDERS DS, 1990, J INSECT PHYSIOL, V36, P195, DOI 10.1016/0022-1910(90)90122-V
   SAUNDERS DS, 1989, P NATL ACAD SCI USA, V86, P3748, DOI 10.1073/pnas.86.10.3748
   Schiesari L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163680
   Schiesari L, 2011, FEBS LETT, V585, P1450, DOI 10.1016/j.febslet.2011.02.026
   Schmidt P., 2011, MECH LIFE HIST EVOLU, P221
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2006, EVOLUTION, V60, P1602, DOI 10.1111/j.0014-3820.2006.tb00505.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sedghifar A, 2016, GENETICS, V202, P1229, DOI 10.1534/genetics.115.185496
   Sim C, 2013, INSECT MOL BIOL, V22, P1, DOI 10.1111/j.1365-2583.2012.01166.x
   SU ZH, 1994, BBA-GENE STRUCT EXPR, V1218, P366, DOI 10.1016/0167-4781(94)90190-2
   Tang B, 2008, BMC MOL BIOL, V9, DOI 10.1186/1471-2199-9-51
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Vanin S, 2012, NATURE, V484, P371, DOI 10.1038/nature10991
   Williams K. D., 1993, DROSOPHILA MELANOGAS
   Xu J, 2009, GLYCOBIOLOGY, V19, P250, DOI 10.1093/glycob/cwn127
   Zonato V, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162370
NR 41
TC 29
Z9 33
U1 0
U2 16
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0022-1910
EI 1879-1611
J9 J INSECT PHYSIOL
JI J. Insect Physiol.
PD APR
PY 2017
VL 98
BP 267
EP 274
DI 10.1016/j.jinsphys.2017.01.017
PG 8
WC Entomology; Physiology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology; Physiology; Zoology
GA EU0QC
UT WOS:000400715400034
PM 28161445
OA Green Published, Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Leamy, LJ
   Lee, CR
   Song, QJ
   Mujacic, I
   Luo, Y
   Chen, CY
   Li, CB
   Kjemtrup, S
   Song, BH
AF Leamy, Larry J.
   Lee, Cheng-Ruei
   Song, Qijian
   Mujacic, Ibro
   Luo, Yan
   Chen, Charles Y.
   Li, Changbao
   Kjemtrup, Susanne
   Song, Bao-Hua
TI Environmental versus geographical effects on genomic variation in wild
   soybean (<i>Glycine soja</i>) across its native range in northeast Asia
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE Admixture; canonical correlation analysis; environment change; gene
   flow; natural selection; population genomics
ID ADAPTIVE GENETIC-VARIATION; POPULATION-STRUCTURE; LOCAL ADAPTATION;
   ARABIDOPSIS-THALIANA; LANDSCAPE GENETICS; MOLECULAR PHYLOGEOGRAPHY;
   QUATERNARY CLIMATE; TEMPERATE PLANTS; F-STATISTICS; DIVERSITY
AB A fundamental goal in evolutionary biology is to understand how various evolutionary factors interact to affect the population structure of diverse species, especially those of ecological and/or agricultural importance such as wild soybean (Glycine soja). G. soja, from which domesticated soybeans (Glycine max) were derived, is widely distributed throughout diverse habitats in East Asia (Russia, Japan, Korea, and China). Here, we utilize over 39,000 single nucleotide polymorphisms genotyped in 99 ecotypes of wild soybean sampled across their native geographic range in northeast Asia, to understand population structure and the relative contribution of environment versus geography to population differentiation in this species. A STRUCTURE analysis identified four genetic groups that largely corresponded to the geographic regions of central China, northern China, Korea, and Japan, with high levels of admixture between genetic groups. A canonical correlation and redundancy analysis showed that environmental factors contributed 23.6% to population differentiation, much more than that for geographic factors (6.6%). Precipitation variables largely explained divergence of the groups along longitudinal axes, whereas temperature variables contributed more to latitudinal divergence. This study provides a foundation for further understanding of the genetic basis of climatic adaptation in this ecologically and agriculturally important species.
C1 [Leamy, Larry J.; Song, Bao-Hua] Univ N Carolina, Dept Biol Sci, Charlotte, NC 28223 USA.
   [Lee, Cheng-Ruei] Gregor Mendel Inst Mol Plant Biol, A-1030 Vienna, Austria.
   [Song, Qijian] ARS, Soybean Genom & Improvement Lab, Dept Agr, USDA, Beltsville, MD 20705 USA.
   [Mujacic, Ibro] Univ N Carolina, Dept Bioinformat & Genom, Charlotte, NC 28223 USA.
   [Luo, Yan] Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Kunming 666303, Yunnan, Peoples R China.
   [Chen, Charles Y.] Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA.
   [Li, Changbao; Kjemtrup, Susanne] Monsanto Co, Biotechnol Assay & Phenotyping Grp, Durham, NC 27709 USA.
C3 University of North Carolina; University of North Carolina Charlotte;
   Austrian Academy of Sciences; Vienna Biocenter (VBC); Gregor Mendel
   Institute of Molecular Plant Biology (GMI); United States Department of
   Agriculture (USDA); University of North Carolina; University of North
   Carolina Charlotte; Chinese Academy of Sciences; Xishuangbanna Tropical
   Botanical Garden, CAS; Auburn University System; Auburn University;
   Monsanto
RP Song, BH (corresponding author), Univ N Carolina, Dept Biol Sci, Charlotte, NC 28223 USA.
EM bsong5@uncc.edu
RI Lee, Cheng-Ruei/HNB-5573-2023; Song, Qijian/AGM-6556-2022; Song,
   Bao-Hua/B-4867-2017
OI Song, Bao-Hua/0000-0003-3537-7783; Lee, Cheng-Ruei/0000-0002-1913-9964
FU North Carolina Biotechnology Center [2014-CFG-8005]
FX North Carolina Biotechnology Center, (Grant/Award Number:
   "2014-CFG-8005").
CR Abebe TD, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00813
   Decker JE, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004254
   Eckert AJ, 2010, GENETICS, V185, P969, DOI 10.1534/genetics.110.115543
   Ellegren H, 2014, TRENDS ECOL EVOL, V29, P51, DOI 10.1016/j.tree.2013.09.008
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   Guo J, 2012, ANN BOT-LONDON, V110, P777, DOI 10.1093/aob/mcs142
   Hall LA, 2014, LANDSCAPE ECOL, V29, P1487, DOI 10.1007/s10980-014-0082-3
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Harrison SP, 2001, NATURE, V413, P129, DOI 10.1038/35093166
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Keller SR, 2011, AM J BOT, V98, P99, DOI 10.3732/ajb.1000317
   Kim KH, 2014, PLANT GENET RESOUR-C, V12, pS45, DOI 10.1017/S1479262114000239
   Kuroda Y, 2006, MOL ECOL, V15, P959, DOI 10.1111/j.1365-294X.2006.02854.x
   Lam HM, 2010, NAT GENET, V42, P1053, DOI 10.1038/ng.715
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Leamy LJ, 2014, ECOL EVOL, V4, P3175, DOI 10.1002/ece3.1148
   Lee C.-R., 2013, Mol Ecol
   Lee CR, 2012, MOL BIOL EVOL, V29, P3721, DOI 10.1093/molbev/mss174
   Lee CR, 2011, MOL ECOL, V20, P4631, DOI 10.1111/j.1365-294X.2011.05310.x
   Legendre P., 1998, NUMERICAL ECOLOGY DE, V2nd
   Legendre P, 2010, MOL ECOL RESOUR, V10, P831, DOI 10.1111/j.1755-0998.2010.02866.x
   Li EX, 2008, MOL PHYLOGENET EVOL, V49, P702, DOI 10.1016/j.ympev.2008.09.012
   Li YH, 2014, NAT BIOTECHNOL, V32, P1045, DOI 10.1038/nbt.2979
   Li YH, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-579
   Li YH, 2010, NEW PHYTOL, V188, P242, DOI 10.1111/j.1469-8137.2010.03344.x
   Mahamed A., 1992, PLANT FOOD HUM NUTR, V42, P57
   Manel S, 2010, MOL ECOL, V19, P3824, DOI 10.1111/j.1365-294X.2010.04716.x
   Manel S, 2013, TRENDS ECOL EVOL, V28, P614, DOI 10.1016/j.tree.2013.05.012
   Mitchell-Olds T, 2006, NATURE, V441, P947, DOI 10.1038/nature04878
   Nakazato T, 2008, EVOLUTION, V62, P774, DOI 10.1111/j.1558-5646.2008.00332.x
   Pease KM, 2009, MOL ECOL, V18, P1848, DOI 10.1111/j.1365-294X.2009.04112.x
   Pritchard JK, 2000, GENETICS, V155, P945
   Qian H, 2000, NATURE, V407, P180, DOI 10.1038/35025052
   Qiu YX, 2011, MOL PHYLOGENET EVOL, V59, P225, DOI 10.1016/j.ympev.2011.01.012
   Qiu YX, 2009, NEW PHYTOL, V183, P480, DOI 10.1111/j.1469-8137.2009.02876.x
   Ramírez-Soriano A, 2009, GENETICS, V181, P701, DOI 10.1534/genetics.108.094060
   Reusch TBH, 2007, MOL ECOL, V16, P3973, DOI 10.1111/j.1365-294X.2007.03454.x
   Schoville SD, 2012, ANNU REV ECOL EVOL S, V43, P23, DOI 10.1146/annurev-ecolsys-110411-160248
   SLATKIN M, 1989, EVOLUTION, V43, P1349, DOI [10.1111/j.1558-5646.1989.tb02587.x, 10.2307/2409452]
   Song BH, 2011, J SYST EVOL, V49, P17, DOI 10.1111/j.1759-6831.2010.00111.x
   Song QJ, 2015, G3-GENES GENOM GENET, V5, P1999, DOI 10.1534/g3.115.019000
   Song QJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054985
   Sork VL, 2010, MOL ECOL, V19, P3806, DOI 10.1111/j.1365-294X.2010.04726.x
   THOMPSON B, 1991, MEAS EVAL COUNS DEV, V24, P80
   Vincent B, 2013, EVOLUTION, V67, P3469, DOI 10.1111/evo.12139
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wen ZX, 2009, THEOR APPL GENET, V119, P371, DOI 10.1007/s00122-009-1045-y
   Yoder JB, 2014, GENETICS, V196, P1263, DOI 10.1534/genetics.113.159319
   Zhou ZK, 2015, NAT BIOTECHNOL, V33, P408, DOI 10.1038/nbt.3096
NR 51
TC 25
Z9 29
U1 2
U2 42
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD SEP
PY 2016
VL 6
IS 17
BP 6332
EP 6344
DI 10.1002/ece3.2351
PG 13
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA DW0WC
UT WOS:000383362700025
PM 27648247
OA Green Published, gold
DA 2025-01-10
ER

PT S
AU Aparicio-Effen, M
   Arana, I
   Aparicio, J
   Cortez, P
   Coronel, G
   Pastén, M
   Nagy, GJ
   Rojas, AG
   Flores, L
   Bidegain, M
AF Aparicio-Effen, M.
   Arana, I.
   Aparicio, J.
   Cortez, Pamela
   Coronel, G.
   Pasten, M.
   Nagy, G. J.
   Galeano Rojas, A.
   Flores, L.
   Bidegain, M.
BE Filho, WL
   Azeiteiro, UM
   Alves, F
TI Introducing Hydro-Climatic Extremes and Human Impacts in Bolivia,
   Paraguay and Uruguay
SO CLIMATE CHANGE AND HEALTH: IMPROVING RESILIENCE AND REDUCING RISKS
SE Climate Change Management
LA English
DT Article; Book Chapter
DE Climate scenarios; Capacity building; Climate inequality; Disasters;
   Early warning; ENSO; Floods; Landslide; Waterborne diseases
ID ECOLOGY; HEALTH
AB Climate change and ENSO events are increasing hydro-climatic risks and health impacts in Bolivia, Paraguay and Uruguay, as well as social inequalities in Bolivia and Paraguay. Climate scenarios project increase in average temperature in the whole region, a slight decrease in precipitation and modified rainy patterns in the Andean region and Paraguay for 2040. More hydro-climatic extremes are also expected, which will likely worsen health vulnerability without further adaptation measures. A Vulnerability, Impact and Adaptation Network conducted research on excessive rainfall, floods and land-slides from 2007 to 2014 in Bolivia, Paraguay and Uruguay. Herein, a case study of the vulnerability and human impacts of an extreme rainfall and land-slide in Callapa, La Paz, Bolivia in 2011 is presented. As result of early warning system (EWS) and emergency systems human life losses were not recorded. A comparison between two districts (with and without landslide) was made modifying Urban HEART equity instrument. Its goal was to better inform the adaptation and community resilience measurements design. The health outcomes included dehydration, diarrhea, acute respiratory infections, and mental health issues. Inter-sectoral policies and strategies were developed to improve climate adaptation measures. Despite strong differences in socio-economic and health status the three studied countries are vulnerable to hydro-climatic extremes. EWS and preparedness based on climate and socio-economic assessments and monitoring are crucial to increase resilience to extreme events.
C1 [Aparicio-Effen, M.] Fac Med UMSA, Climate Change & Environm Hlth Unit UCCLIMAS IBBA, La Paz, Bolivia.
   [Arana, I.; Cortez, Pamela] IBBA, UCCLIMAS, La Paz, Bolivia.
   [Aparicio, J.] Museo Hist Nat, La Paz, Bolivia.
   [Coronel, G.; Pasten, M.; Nagy, G. J.] Univ Nacl Asuncion, Master Degree Program Global Change & Climate Ris, Fac Politecn FPUNA, San Lorenzo, Paraguay.
   [Nagy, G. J.] Univ Republ UdelaR, Fac Ciencias, Montevideo, Uruguay.
   [Galeano Rojas, A.; Flores, L.] Univ Nacl Asuncion, Fac Ciencias Med, Minist Salud Publ & Bienestar Social, Asuncion, Paraguay.
   [Bidegain, M.] Secretaria Tecn, Inst Uruguayo Meteorol INUMET, Montevideo, Uruguay.
C3 Universidad Mayor de San Andres; Universidad Nacional de Asuncion;
   Universidad de la Republica, Uruguay; Ministerio de Salud Publica y
   Bienstar Social; Universidad Nacional de Asuncion
RP Nagy, GJ (corresponding author), Univ Nacl Asuncion, Master Degree Program Global Change & Climate Ris, Fac Politecn FPUNA, San Lorenzo, Paraguay.; Nagy, GJ (corresponding author), Univ Republ UdelaR, Fac Ciencias, Montevideo, Uruguay.
EM marilyneffen@gmail.com; ivar.arana@gmail.com;
   james.aparicio.e@gmail.com; gcoronelster@gmail.com; maxpasten@gmail.com;
   gustavo.nagy56@gmail.com; aidagalerojaspy@gmail.com;
   floreslaurapy@yahoo.com; bidegainmario@gmail.com
RI Nagy, Gustavo/G-8097-2017
CR [Anonymous], 2014, Human Development Report
   [Anonymous], HIDD CIT UNM REC HLT
   [Anonymous], 2012, STAT WORLDS CIT 2012
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Aparicio-Effen M., 2014, HLTH EXP CAP DAT COU
   Aparicio-Effen M, 2010, EVALUACION VULNERABI
   Aparicio-Effen M, 2015, PARTICIPATO IN PRESS
   Bidegain M., 2015, B AM METEOROL SOC, V96, pS182
   Bidegain M, 2014, B AM METEOROL SOC, V95, pS1, DOI DOI 10.1175/2014BAMSSTATE0FTHECLIMATE.1
   Burton I, 2004, 3 ENV CAN AD IMP RES
   Campbell-Lendrum D, 2009, LANCET, V373, P1663, DOI 10.1016/S0140-6736(09)60926-0
   CEPAL, 2011, Panorama Social de America Latina 2011
   CEPAL, 2014, PERSP EC AM LAT
   Coronel G, 2015, HDB CLIMATE CHANGE A, DOI [10.1007/978-3-642-40455-9_113-1, DOI 10.1007/978-3-642-40455-9_113_1]
   Corvalan C, 2012, 2 FORO VIRTUAL SALUD
   Disasters, 2007, FLOOD BOL PREP MIT A
   Ebi KL, 2008, AN EFF GLOB CHANG HU
   ECLAC, 2013, Natural Resources Within the Union of South American Nations. Status and Trends for a Regional Development Agenda
   Economics of Adaptation to Climate Change Team (EACC), 2012, COSTS DEV COUNTR AD
   EPA, 2010, HUM HLTH CLIM IMP AD
   Epstein P, 2010, ECOLOGY, V91, P925, DOI 10.1890/09-0761.1
   Ferraz Mourao C, 2014, PRODUTO UNPUB
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   GAMLP, 2011, COMP EST AMB BIV
   Guha-Sapir D., 2013, ANN DISASTER STAT RE
   Haines A, 2008, PUBLIC HLTH, V120, P585
   Handicap International, 2009, GUID KAP SURV MAN OC
   IMF, 2014, SURV MAG COUNTR REG
   INUMET, 2015, AN CLIM DUR 2014 UR
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Lorini JL, 1991, HIST NATURAL VALLE L, P27
   Magrin G, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P581
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   MDG, 2014, MULL DEV GOALS REP 2
   MMA, 2013, INF GEST 2013
   Nagy G.J., 2006, MAGRIN COAUTHORS 200
   Nagy GJ, 2016, CLIMATE CHANGE HLTH
   Nagy GJ., 2014, INT PERSPECTIVES CLI, P79, DOI [10.1007/978-3-319-04489-7_6, DOI 10.1007/978-3-319-04489-7_6]
   Nagy Gustavo J., 2014, RGCI, V14, P553, DOI 10.5894/rgci472
   Nagy GJ, 2014, INT J CLIM CHANG STR, V6, P63, DOI 10.1108/IJCCSM-03-2013-0035
   ND-Gain, 2012, NOTR DAM GLOB AD IND
   NOAA, 2014, MULT ENSO IND MEI NO
   OMS, 2014, CLIM SAL RES C OMS S
   PAHO, 2015, HEAV RAINS FLOODS BO
   Pasten M, 2012, ADAPTACION CAMBIOS C
   ProVention, 2013, DIS STAT HUM EC LOSS
   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]
   Ramallo C, 2013, THESIS U GRENOBLE
   Seiler C, 2013, J APPL METEOROL CLIM, V52, P130, DOI 10.1175/JAMC-D-12-0105.1
   Senior K, 2008, LANCET INFECT DIS, V8, P92, DOI 10.1016/S1473-3099(08)70008-2
   Shuman EK, 2010, NEW ENGL J MED, V362, P1061, DOI 10.1056/NEJMp0912931
   Skusunosky S, 2011, AN 7 S MET GEOF APMG
   Vuille M, 2000, J GEOPHYS RES, V105, P450
   Watson JT, 2007, EMERG INFECT DIS, V13, P1, DOI 10.3201/eid1301.060779
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   World Bank, 2014, INC CLASS COUNTR
   World Bank, 2014, SOC IND
NR 58
TC 13
Z9 13
U1 1
U2 20
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1610-2010
BN 978-3-319-24660-4; 978-3-319-24658-1
J9 CLIM CHANG MANAG
PY 2016
BP 449
EP 473
DI 10.1007/978-3-319-24660-4_26
D2 10.1007/978-3-319-24660-4
PG 25
WC Economics; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Business & Economics; Environmental Sciences & Ecology
GA BE8JS
UT WOS:000376523200027
DA 2025-01-10
ER

PT J
AU Ireson, AM
   Barr, AG
   Johnstone, JF
   Mamet, SD
   van der Kamp, G
   Whitfield, CJ
   Michel, NL
   North, RL
   Westbrook, CJ
   DeBeer, C
   Chun, KP
   Nazemi, A
   Sagin, J
AF Ireson, A. M.
   Barr, A. G.
   Johnstone, J. F.
   Mamet, S. D.
   van der Kamp, G.
   Whitfield, C. J.
   Michel, N. L.
   North, R. L.
   Westbrook, C. J.
   DeBeer, C.
   Chun, K. P.
   Nazemi, A.
   Sagin, J.
TI The changing water cycle: the Boreal Plains ecozone of Western Canada
SO WILEY INTERDISCIPLINARY REVIEWS-WATER
LA English
DT Article
ID PRAIRIE-FOREST ECOTONE; CLIMATE-CHANGE IMPACTS; REGIONAL DROUGHT; TREE
   MORTALITY; CARBON-DIOXIDE; LONG-TERM; LAKE; GROUNDWATER; FIRE;
   EVAPOTRANSPIRATION
AB The Boreal Plains Ecozone (BPE) in Western Canada is expected to be an area of maximum ecological sensitivity in the 21st century. Successful climate adaptation and sustainable forest management require a better understanding of the interactions between hydrology, climate, and vegetation. This paper provides a perspective on the changing water cycle in the BPE from an interdisciplinary team of researchers, seeking to identify the critical knowledge gaps. Our review suggests the BPE will likely become drier and undergo more frequent disturbance and shifts in vegetation. The forest will contract to the north, though the southern boundary of the ecotone will remain in place. We expect detrimental impacts on carbon sequestration, water quality, wildlife, and water supplies. Ecosystem interactions are complex, and many processes are affected differently by warming and drying, thus the degree and direction of change is often uncertain. However, in the short term at least, human activities are the dominant source of change and are unpredictable but likely decisive. Current climate, hydrological, and ecological monitoring in the BPE are limited and inadequate to understand and predict the complex responses of the BPE to human activities and climate change. This paper provides a case study of how hydrological processes critically determine ecosystem functioning, and how our ability to predict system response is limited by our ability to predict changing hydrology. (C) 2015 Wiley Periodicals, Inc.
C1 [Ireson, A. M.; Johnstone, J. F.; Mamet, S. D.; Whitfield, C. J.; Michel, N. L.; North, R. L.; Westbrook, C. J.; DeBeer, C.; Chun, K. P.; Nazemi, A.; Sagin, J.] Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK S7N 0W0, Canada.
   [Barr, A. G.; van der Kamp, G.] Environm Canada, Natl Hydrol Res Ctr, Saskatoon, SK, Canada.
   [Nazemi, A.] Concordia Univ, Civil & Environm Engn, Montreal, PQ, Canada.
C3 University of Saskatchewan; Global Institute for Water Security;
   Environment & Climate Change Canada; National Hydrology Research Centre;
   Concordia University - Canada
RP Ireson, AM (corresponding author), Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK S7N 0W0, Canada.
EM Andrew.Ireson@usask.ca
RI Ireson, Andrew/IWM-4158-2023; Barr, Alan/AAX-2129-2020; Johnstone,
   Jill/C-9204-2009; Mamet, Steven/H-8408-2019; Sagin, Jay/F-7522-2013;
   Chun, Kwok Pan/P-5782-2018
OI Mamet, Steven/0000-0002-3510-3814; Chun, Kwok Pan/0000-0001-9873-6240;
   DeBeer, Chris/0000-0003-1828-0293
CR [Anonymous], 2012, BIOGEOSCIENCES, DOI DOI 10.5194/bg-9-2523-2012
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], NORX416E NO FOR CTR
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Barr AG, 2012, AGR FOREST METEOROL, V153, P3, DOI 10.1016/j.agrformet.2011.05.017
   Barr AG, 2004, AGR FOREST METEOROL, V126, P237, DOI 10.1016/j.agrformet.2004.06.011
   Barr Alan, 2009, P3, DOI 10.1007/978-1-4419-0026-5_1
   Bergengren JC, 2011, CLIMATIC CHANGE, V107, P433, DOI 10.1007/s10584-011-0065-1
   Berner LT, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2010JG001475
   Beschta RL, 2013, ENVIRON MANAGE, V51, P474, DOI 10.1007/s00267-012-9964-9
   Black TA, 1996, GLOBAL CHANGE BIOL, V2, P219, DOI 10.1111/j.1365-2486.1996.tb00074.x
   BLACK TA, 2005, CARBON BALANCE FORES, P151
   Boiffin J, 2013, ECOSPHERE, V4, DOI 10.1890/ES13-00038.1
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bond-Lamberty B, 2009, GLOBAL CHANGE BIOL, V15, P1242, DOI 10.1111/j.1365-2486.2008.01776.x
   Bowyer RT, 1998, J MAMMAL, V79, P1332, DOI 10.2307/1383025
   Brandt JP, 2013, ENVIRON REV, V21, P207, DOI 10.1139/er-2013-0040
   Bridge SRJ, 2000, J VEG SCI, V11, P57, DOI 10.2307/3236776
   Brown MG, 2014, HYDROL PROCESS, V28, P3326, DOI 10.1002/hyp.9870
   Brown RD, 2011, CRYOSPHERE, V5, P219, DOI 10.5194/tc-5-219-2011
   Brümmer C, 2012, AGR FOREST METEOROL, V153, P14, DOI 10.1016/j.agrformet.2011.04.008
   Burns DA, 1998, J HYDROL, V205, P248, DOI 10.1016/S0022-1694(98)00081-X
   Bush EJ., 2014, Canada in a changing climate: Sector Perspectives on Impacts and Adaptation, P23
   Butler DR, 2006, GEOMORPHOLOGY, V79, P448, DOI 10.1016/j.geomorph.2006.06.026
   Camill P, 2003, J ECOL, V91, P822, DOI 10.1046/j.1365-2745.2003.00812.x
   Candau JN, 2005, CAN J FOREST RES, V35, P2218, DOI 10.1139/X05-078
   Chapin FS, 2004, AMBIO, V33, P361, DOI 10.1639/0044-7447(2004)033[0361:GCATBF]2.0.CO;2
   Cohen JL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050582
   Collins JP, 2003, DIVERS DISTRIB, V9, P89, DOI 10.1046/j.1472-4642.2003.00012.x
   Crawford JT, 2013, J GEOPHYS RES-BIOGEO, V118, P482, DOI 10.1002/jgrg.20034
   de Groot WJ, 2013, FOREST ECOL MANAG, V294, P35, DOI 10.1016/j.foreco.2012.09.027
   Devito K, 2005, HYDROL PROCESS, V19, P1705, DOI 10.1002/hyp.5881
   Fauria MM, 2008, PHILOS T R SOC B, V363, P2317, DOI 10.1098/rstb.2007.2202
   Fenton M.M., 1994, GEOLOGICAL ATLAS W C
   Folke C, 1996, ECOL APPL, V6, P1018, DOI 10.2307/2269584
   Gibson JJ, 2002, J HYDROL, V262, P128, DOI 10.1016/S0022-1694(02)00022-7
   Gienapp P, 2007, CLIM RES, V35, P25, DOI 10.3354/cr00712
   Granger RJ, 2011, HYDROL EARTH SYST SC, V15, P267, DOI 10.5194/hess-15-267-2011
   Greve P, 2014, NAT GEOSCI, V7, P716, DOI [10.1038/NGEO2247, 10.1038/ngeo2247]
   Group SCW, 1998, AGR AGR CAN PUBL, V1646
   Halsey LA, 1998, CLIMATIC CHANGE, V40, P315, DOI 10.1023/A:1005425124749
   Hazewinkel RRO, 2008, CAN J FISH AQUAT SCI, V65, P1554, DOI 10.1139/F08-074
   Hobson KA, 2002, CONSERV BIOL, V16, P1530, DOI 10.1046/j.1523-1739.2002.01199.x
   Hogg EH, 2008, CAN J FOREST RES, V38, P1373, DOI 10.1139/X08-001
   Hogg EH, 1997, AGR FOREST METEOROL, V84, P115, DOI 10.1016/S0168-1923(96)02380-5
   Hogg EHT, 2005, FOREST CHRON, V81, P675, DOI 10.5558/tfc81675-5
   Hood GA, 2009, FOREST ECOL MANAG, V258, P1979, DOI 10.1016/j.foreco.2009.07.052
   Hyvönen R, 2007, NEW PHYTOL, V173, P463, DOI 10.1111/j.1469-8137.2007.01967.x
   Johnson EA, 2001, CONSERV BIOL, V15, P1554, DOI 10.1046/j.1523-1739.2001.01005.x
   Johnstone JF, 2010, ECOSPHERE, V1, DOI 10.1890/ES10-00102.1
   Kozlowski TT, 2002, BOT REV, V68, P270, DOI 10.1663/0006-8101(2002)068[0270:AAAROW]2.0.CO;2
   Krishnan P, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008965
   Kurek J, 2013, P NATL ACAD SCI USA, V110, P1761, DOI 10.1073/pnas.1217675110
   Laxton DL, 2012, WATER AIR SOIL POLL, V223, P1, DOI 10.1007/s11270-011-0833-6
   Lee X, 2011, NATURE, V479, P384, DOI 10.1038/nature10588
   Lemprière TC, 2013, ENVIRON REV, V21, P293, DOI 10.1139/er-2013-0039
   Lloyd AH, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/4/045013
   Ma ZH, 2012, P NATL ACAD SCI USA, V109, P2423, DOI 10.1073/pnas.1111576109
   Magnuson JJ, 2000, SCIENCE, V289, P1743, DOI 10.1126/science.289.5485.1743
   Matsuoka SM, 2007, J WILDLIFE MANAGE, V71, P51, DOI 10.2193/2005-460
   McLaughlan S, 2010, FIELD GUIDE ECOSITES
   Mekis E, 2011, ATMOS OCEAN, V49, P163, DOI 10.1080/07055900.2011.583910
   Michaelian M, 2011, GLOBAL CHANGE BIOL, V17, P2084, DOI 10.1111/j.1365-2486.2010.02357.x
   Mikkelson KM, 2013, ECOHYDROLOGY, V6, P64, DOI 10.1002/eco.278
   Moser KA, 2002, J PALEOLIMNOL, V28, P269, DOI 10.1023/A:1021635024757
   Ni WG, 1997, J GEOPHYS RES-ATMOS, V102, P29555, DOI 10.1029/97JD00198
   Peng CH, 2011, NAT CLIM CHANGE, V1, P467, DOI 10.1038/NCLIMATE1293
   Pomeroy J. W., 1997, NHRI CONTRIBUTION SE
   Post E, 1999, ECOLOGY, V80, P1322, DOI 10.1890/0012-9658(1999)080[1322:CVPPAN]2.0.CO;2
   Price DT, 2013, ENVIRON REV, V21, P322, DOI 10.1139/er-2013-0042
   PRICE JS, 1987, CAN J EARTH SCI, V24, P2074, DOI 10.1139/e87-196
   Redding T, 2011, HYDROL RES, V42, P250, DOI 10.2166/nh.2011.162
   ROULET NT, 1992, J GEOPHYS RES-ATMOS, V97, P3739, DOI 10.1029/91JD03109
   Sass GZ, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006311
   Sheffield J, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008288
   Smerdon BD, 2005, J HYDROL, V314, P246, DOI 10.1016/j.jhydrol.2005.04.001
   Smith R., 2012, STREAMLINE WATERSHED, V15, P24
   Spence C, 2011, WETLANDS, V31, P75, DOI 10.1007/s13157-010-0123-x
   Stadt J, 2011, SRC PUBLICATION
   Strack M, 2008, HYDROL PROCESS, V22, P3373, DOI 10.1002/hyp.6931
   Strack M, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2006GB002715
   Sushama L, 2010, GLOBAL PLANET CHANGE, V74, P1, DOI 10.1016/j.gloplacha.2010.07.004
   Tarnocai C, 2011, 6561 GEOL SURV CAN
   Thorpe HC, 2012, CAN J FOREST RES, V42, P1687, DOI [10.1139/X2012-104, 10.1139/x2012-104]
   van der Kamp G, 2009, HYDROGEOL J, V17, P203, DOI 10.1007/s10040-008-0367-1
   Varhola A, 2010, J HYDROL, V392, P219, DOI 10.1016/j.jhydrol.2010.08.009
   Vincent LA, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017859
   Volney WJA, 2000, AGR ECOSYST ENVIRON, V82, P283, DOI 10.1016/S0167-8809(00)00232-2
   Waddington JM, 2015, ECOHYDROLOGY, V8, P113, DOI 10.1002/eco.1493
   Wang YH, 2014, FOREST CHRON, V90, P678, DOI 10.5558/tfc2014-134
   Weir JMH, 2000, ECOL APPL, V10, P1162, DOI 10.1890/1051-0761(2000)010[1162:FFATSA]2.0.CO;2
   Westbrook CJ, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004560
   Westbrook CJ, 2013, TREATISE GEOMORPHOLO
   Williams JW, 2009, GLOBAL PLANET CHANGE, V66, P195, DOI 10.1016/j.gloplacha.2008.10.012
   Winkler R., 2010, Streamline-Watershed Management Bulletin, V13, P25
   Wolfe BB, 2006, HYDROL PROCESS, V20, P4131, DOI 10.1002/hyp.6423
   Wulder MA, 2003, FOREST CHRON, V79, P1075, DOI 10.5558/tfc791075-6
   Zha TS, 2010, AGR FOREST METEOROL, V150, P1476, DOI 10.1016/j.agrformet.2010.08.003
   Zhao LT, 1999, HYDROL PROCESS, V13, P1827, DOI 10.1002/(SICI)1099-1085(199909)13:12/13<1827::AID-HYP896>3.0.CO;2-D
   Zinck RD, 2011, AM NAT, V178, pE149, DOI 10.1086/662675
NR 100
TC 68
Z9 70
U1 0
U2 85
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 SEP-OCT
PY 2015
VL 2
IS 5
BP 505
EP 521
DI 10.1002/wat2.1098
PG 17
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA CQ3HS
UT WOS:000360493400006
DA 2025-01-10
ER

PT J
AU Bartels, WL
   Furman, CA
   Diehl, DC
   Royce, FS
   Dourte, DR
   Ortiz, BV
   Zierden, DF
   Irani, TA
   Fraisse, CW
   Jones, JW
AF Bartels, Wendy-Lin
   Furman, Carrie A.
   Diehl, David C.
   Royce, Fred S.
   Dourte, Daniel R.
   Ortiz, Brenda V.
   Zierden, David F.
   Irani, Tracy A.
   Fraisse, Clyde W.
   Jones, James W.
TI Warming up to climate change: a participatory approach to engaging with
   agricultural stakeholders in the Southeast US
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate adaptation; Participatory process; Stakeholder network;
   Experiential learning
ID CHANGE ADAPTATION; COMMUNICATION; WORKSHOP
AB Within the context of a changing climate, scientists are called to engage directly with agricultural stakeholders for the coproduction of relevant information that will support decision making and adaptation. However, values, beliefs, identities, goals, and social networks shape perceptions and actions about climate change. Engagement processes that ignore the socio-cultural context within which stakeholders are embedded may fail to guide adaptive responses. To facilitate dialog around these issues, the Southeast Climate Consortium and the Florida Climate Institute formed a climate learning network consisting of row crop farmers, agricultural extension specialists, researchers, and climate scientists working in the Southeast US. Regional in scope, the learning network engages researchers and practitioners from Alabama, Georgia, and Florida as partners in adaptation science. This paper describes the ongoing interactions, dialog, and experiential learning among the network's diverse participants. We illustrate how participatory tools have been used in a series of workshops to create interactive spaces for knowledge coproduction. For example, historical timelines, climate scenarios, and technology exchanges stimulated discussions about climate-related risk management. We present findings from the workshops related to participants' perspectives on climate change and adaptation. Finally, we discuss lessons learned that may be applicable to other groups involved in climate education, communication, and stakeholder engagement. We suggest that the thoughtful design of stakeholder engagement processes can become a powerful social tool for improving decision support and strengthening adaptive capacity within rural communities.
C1 [Bartels, Wendy-Lin; Diehl, David C.; Royce, Fred S.; Dourte, Daniel R.; Irani, Tracy A.; Fraisse, Clyde W.; Jones, James W.] Univ Florida, Gainesville, FL 32611 USA.
   [Furman, Carrie A.] Univ Georgia, Dept Crop & Soil Sci, Athens, GA 30602 USA.
   [Ortiz, Brenda V.] Auburn Univ, Auburn, AL 36849 USA.
   [Zierden, David F.] Florida State Univ, Florida Climate Ctr, Tallahassee, FL 32306 USA.
   [Zierden, David F.] Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA.
C3 State University System of Florida; University of Florida; University
   System of Georgia; University of Georgia; Auburn University System;
   Auburn University; State University System of Florida; Florida State
   University; State University System of Florida; Florida State University
RP Bartels, WL (corresponding author), Univ Florida, Gainesville, FL 32611 USA.
EM wendylin@ufl.edu
RI Irani, Tracy/A-5417-2012; Jones, James/AAP-9048-2020
OI Fraisse, Clyde W./0000-0001-9875-2187; Irani, Tracy/0000-0003-1803-4359
FU National Commission on Energy Policy (NCEP)-Iconic Agricultural Crops:
   Climate Change Impacts on Peanut, Cotton, and Corn in Georgia and
   Florida; National Institute of Food and Agriculture (NIFA)-Climate
   variability to climate change: Extension challenges and opportunities in
   the Southeast USA; National Oceanic & Atmospheric Administration (NOAA)
FX Special thanks are extended to all row crop producers and county
   extension agents who have participated in the climate learning network.
   Their generous time, curiosity, and consistent feedback have made this
   work possible. We also acknowledge the dedication and support from
   partners within Cooperative Extension services of three Southeast
   universities: John Beasley & Bob Kemerait (UGA), David Wright (UF),
   William Birdsong (UA). Thanks to researchers within the SECC and FCI:
   Gerrit Hoogenboom, Carla Roncoli, Mark Boudreau, Michael Thomas, Scott
   Templeton, Christine Engels, and Emily Rodriguez. Jennifer Arnold and
   Matthew Palumbo offered invaluable editing on the manuscript. We have
   benefited from the relationships and funds generated through the
   National Commission on Energy Policy (NCEP)-Iconic Agricultural Crops:
   Climate Change Impacts on Peanut, Cotton, and Corn in Georgia and
   Florida, the National Institute of Food and Agriculture (NIFA)-Climate
   variability to climate change: Extension challenges and opportunities in
   the Southeast USA, and the National Oceanic & Atmospheric Administration
   (NOAA).
CR [Anonymous], 2009, Global climate change impacts in the Unites States
   Averyt K, 2010, ARE WE SUCCESSFULLY
   Bartels W., 2012, Southeast Climate Consortium Technical Report Series: 12-003
   Breuer N.E., 2009, Journal of Service Climatology, V3, P1
   Cash D., 2005, KNOWLEDGE ACTION SYS
   Cerf M, 2012, AGRON SUSTAIN DEV, V32, P899, DOI 10.1007/s13593-012-0091-z
   Cohen SJ, 2010, CLIMATIC CHANGE, V100, P131, DOI 10.1007/s10584-010-9811-z
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Eriksen C, 2011, INT J WILDLAND FIRE, V20, P612, DOI 10.1071/WF10018
   Finucane Melissa L., 2009, ANAL E W CTR NO 89
   Fraisse Clyde W., 2009, Journal of Extension, V47, P1, DOI [10.1088/1755-1307/6/4/242015, DOI 10.1088/1755-1307/6/4/242015]
   Furman C, 2011, CLIMATIC CHANGE, V109, P791, DOI 10.1007/s10584-011-0238-y
   Halofsky JE, 2011, J FOREST, V109, P219
   Harvey B, 2012, IDS B, V43
   Huntington HP, 2002, ENVIRON MANAGE, V30, P778, DOI 10.1007/s00267-002-2749-9
   Jakku E, 2010, AGR SYST, V103, P675, DOI 10.1016/j.agsy.2010.08.007
   Jones JW, 2010, CHAPTER CLIMATE CHAN
   Kolb AY, 2005, ACAD MANAG LEARN EDU, V4, P193, DOI 10.5465/AMLE.2005.17268566
   Kolb D.A., 2000, EXPERIENTIAL LEARNIN
   Kunkel, 2012, CLIMATE SE US NATL C
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Misra Vasubandhu., 2011, CLIMATE SCENARIOS FL
   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]
   Peterson ND, 2010, CLIM DEV, V2, P14, DOI 10.3763/cdev.2010.0033
   Portmann RW, 2009, P NATL ACAD SCI USA, V106, P7324, DOI 10.1073/pnas.0808533106
   Romsdahl RJ, 2009, CLIMATIC CHANGE, V95, P1, DOI 10.1007/s10584-008-9538-2
   Roncoli C., 2008, Anthropology and Climate Change: from Encounters to Actions, P87
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Sakakibara C, 2008, GEOGR REV, V98, P456, DOI 10.1111/j.1931-0846.2008.tb00312.x
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   Tschakert P, 2010, ECOL SOC, V15
   USDA, 2009, CENS AGR 2007 FARM R
   USDA, 2009, CENS AGR 2007 US SUM
   USDA, 1981, CENS AGR 2007 US SUM
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
NR 38
TC 59
Z9 72
U1 3
U2 61
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD AUG
PY 2013
VL 13
SU 1
BP S45
EP S55
DI 10.1007/s10113-012-0371-9
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD4ZF
UT WOS:000333260000006
DA 2025-01-10
ER

PT J
AU Smith, W
AF Smith, Will
TI Climates of control: Violent adaptation and climate change in the
   Philippines
SO POLITICAL GEOGRAPHY
LA English
DT Article
ID POLITICS; GOVERNANCE; POPULISM; AUTHORITARIANISM; VULNERABILITY;
   CONSERVATION; INSIGHTS; ONTOLOGY; LIFE
AB This paper considers the limits of adaptation as a concept in global environmental governance and advocacy by examining the climate change policy of the populist Philippine president Rodrigo Duterte. By focusing on heterogenous state responses to the 2018-2019 El Nino drought, I demonstrate how the Duterte administration has worked to achieve a violent vision of climate adaptation through a jarring combination of practices: exhorting the devastating reality of climate change; denigrating multilateral mitigation efforts as colonial injustices; subverting indigenous peoples' land rights; and fostering the extrajudicial assassination of activists. Though Duterte's wider climate change policies are often viewed as a strategic distraction or the isolated product of an erratic populist, I argue that these recent responses to climate change in the Philippines, which fuse decolonial and nationalist sensibilities to confrontational forms of illiberalism, should be examined as part of the larger unfurling of illiberal adaptation politics across Philippine history and the Global South. These politics, and their considerable (though far from total) local resonance, challenge both universalist Western political rationalities and new directions in climate justice movement calling for ontological inclusivity. I highlight the need for a closer examination of the origins, practices and implications of violent adaptions.
C1 [Smith, Will] Deakin Univ, Alfred Deakin Inst Citizenship & Globalisat, Bldg C,Level 1,221 Burwood Hwy, Burwood, Vic 3125, Australia.
C3 Deakin University
RP Smith, W (corresponding author), Deakin Univ, Alfred Deakin Inst Citizenship & Globalisat, Bldg C,Level 1,221 Burwood Hwy, Burwood, Vic 3125, Australia.
EM will.smith@deakin.edu.au
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Bankoff G, 2001, DISASTERS, V25, P19, DOI 10.1111/1467-7717.00159
   Bankoff G, 2007, VERH KONIK, V240, P153
   Bankoff Greg., 2003, Cultures of Disaster: Society and Natural Hazard in the Philippines
   Beeson M, 2018, ASIA PAC POLICY STUD, V5, P34, DOI 10.1002/app5.217
   Bello W., 2017, A Duterte Reader: Critical Essays on Rodrigo Duterte's Early Presidency, P77
   Blaser M, 2009, AM ANTHROPOL, V111, P10, DOI 10.1111/j.1548-1433.2009.01073.x
   Borras SM, 2020, WORLD DEV, V129, DOI 10.1016/j.worlddev.2019.104864
   Bronen R, 2021, SCIENCE, V372, P1245, DOI 10.1126/science.abi9127
   Camba A, 2021, Carnegie Endownment for International PeaceJune 15
   Camba A, 2020, DEV CHANGE, V51, P970, DOI 10.1111/dech.12604
   Casey J. P., 2018, mining technology (blog)
   Chavez L., 2019, Mongabay Environmental News
   Colcol E., 2020, GMA NEWS ONLINE
   Corrales N., 2019, INQUIRER.Net
   Cortes-Vazquez JA, 2020, GEOFORUM, V108, P110, DOI 10.1016/j.geoforum.2019.12.004
   Curato N., 2018, ETHICAL RESPONSIVENE, P117
   Curato Nicole C., 2021, Dictators and Autocrats: Securing Power across Global Politics, V1st ed, P384, DOI [10.4324/9781003100508, DOI 10.4324/9781003100508]
   Delfin, 2022, INQUIRER.Net
   DENR, 1999, The Philippines' initial national communication on climate change
   Dillon L, 2019, ANN AM ASSOC GEOGR, V109, P545, DOI 10.1080/24694452.2018.1511410
   Dolsak N, 2018, ANNU REV ENV RESOUR, V43, P317, DOI 10.1146/annurev-environ-102017-025739
   Dressler W, 2021, J POLIT ECOL, V28, P453
   Dressler WH, 2023, J PEASANT STUD, V50, P2406, DOI 10.1080/03066150.2022.2086799
   Duterte to Maynilad, 2020, RAPPLER (blog)
   Eadie P, 2019, ASIA PAC VIEWP, V60, P94, DOI 10.1111/apv.12215
   Espejo E., 2013, RAPPLER (blog)
   Francisco C., 2019, BusinessWorld online
   Galvez Daphne, 2020, INQUIRER.net
   Goldman MJ, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.526
   Gonzales Y. V., 2017, INQUIRER
   Government of the Philippines, 2009, Opening statement: President Arroyo during the event on 'climate finance: Challenges and opportunities for developing countries' | GOVPH
   Grove K., 2018, The resilience machine, V24
   Grove KJ, 2014, ANTIPODE, V46, P611, DOI 10.1111/anti.12066
   Haverkamp J, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105152
   Hennessey JamesJ., 1960, Philippine Studies, V8, P99
   Holden WN, 2019, ASIAN GEOGR, V36, P1, DOI 10.1080/10225706.2018.1483831
   Huber RA, 2020, ENVIRON POLIT, V29, P959, DOI 10.1080/09644016.2019.1708186
   Kabiling G., 2019, Manila Bulletin
   Klein N., 2019, FIRE BURNING CASE GR
   Kojola E, 2019, ANN AM ASSOC GEOGR, V109, P371, DOI 10.1080/24694452.2018.1506695
   Lo K, 2020, EXTRACT IND SOC, V7, P1029, DOI 10.1016/j.exis.2020.06.017
   McCarthy J, 2019, ANN AM ASSOC GEOGR, V109, P301, DOI 10.1080/24694452.2018.1554393
   Mercado N. A., 2019, INQUIRER.Net
   Middeldorp N, 2019, ANN AM ASSOC GEOGR, V109, P324, DOI 10.1080/24694452.2018.1530586
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Nadasdy P, 2007, AM ETHNOL, V34, P25, DOI 10.1525/ae.2007.34.1.25
   Neimark B, 2019, ANN AM ASSOC GEOGR, V109, P613, DOI 10.1080/24694452.2018.1547567
   Newell P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.733
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Ofstehage A, 2022, ANNU REV ENV RESOUR, V47, P671, DOI 10.1146/annurev-environ-012220-124635
   Ong JC, 2015, INT COMMUN GAZ, V77, P607, DOI 10.1177/1748048515601555
   PAGASA, 2022, Tropical cyclone information
   Placido D., 2018, ABS-CBN News
   Porio E., 2019, Urban drought, P183, DOI [10.1007/978-981-10-8947-312, DOI 10.1007/978-981-10-8947-312]
   Rafael Vicente. L., 2021, SOVEREIGN TRICKSTER
   Ranada P., 2019, RAPPLER (blog).
   Ranada P., 2017, RAPPLER
   Rarai A, 2022, ENVIRON PLAN E-NAT, V5, P2240, DOI 10.1177/25148486211047739
   Regilme SSF, 2021, POLIT GEOGR, V89, DOI 10.1016/j.polgeo.2021.102427
   Saguin KK, 2022, URBAN ECOLOGIES ON THE EDGE, P1
   Scoones I, 2018, J PEASANT STUD, V45, P1, DOI 10.1080/03066150.2017.1339693
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Smith W, 2019, POLIT GEOGR, V72, P76, DOI 10.1016/j.polgeo.2019.04.004
   Smith Will., 2020, Mountains of Blame: Climate and Culpability in the Philippine Uplands
   Subingsubing Krixia, 2021, Inquirer.net
   Theriault N., 2019, Beyond Populism: Angry Politics and the Twilight of Neoliberalism, P182
   Theriault N, 2017, POLIT GEOGR, V58, P114, DOI 10.1016/j.polgeo.2015.09.004
   Tschakert P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.699
   Tupaz V, 2015, rappler (blog)
   Villanueva R., 2019, The Manila Times
   Viray P. L., 2019, says MWSS. Philstar.Com
   Warren JF, 2013, ASIA-PAC J-JPN FOCU, V11
   Warren James Francis, 2015, WATER HIST, V7, P213, DOI DOI 10.1007/S12685-015-0131-0
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Wilson R, 2019, ANN AM ASSOC GEOGR, V109, P314, DOI 10.1080/24694452.2018.1538767
NR 77
TC 0
Z9 0
U1 2
U2 3
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0962-6298
EI 1873-5096
J9 POLIT GEOGR
JI Polit. Geogr.
PD NOV
PY 2022
VL 99
AR 102740
DI 10.1016/j.polgeo.2022.102740
PG 10
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA CK7M6
UT WOS:001125211900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zhu, P
   Burney, J
   Chang, JF
   Jin, ZN
   Mueller, ND
   Xin, QC
   Xu, JL
   Yu, L
   Makowski, D
   Ciais, P
AF Zhu, Peng
   Burney, Jennifer
   Chang, Jinfeng
   Jin, Zhenong
   Mueller, Nathaniel D.
   Xin, Qinchuan
   Xu, Jialu
   Yu, Le
   Makowski, David
   Ciais, Philippe
TI Warming reduces global agricultural production by decreasing cropping
   frequency and yields
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID SUSTAINABLE INTENSIFICATION; CLIMATE VARIABILITY; MAIZE; HEAT;
   EXPANSION; IMPACTS; MODELS; TRENDS; GAPS; AREA
AB Annual food caloric production is the product of caloric yield, cropping frequency (CF, number of production seasons per year) and cropland area. Existing studies have largely focused on crop yield, whereas how CF responds to climate change remains poorly understood. Here, we evaluate the global climate sensitivity of caloric yields and CF at national scale. We find a robust negative association between warming and both caloric yield and CF. By the 2050s, projected CF increases in cold regions are offset by larger decreases in warm regions, resulting in a net global CF reduction (-4.2 +/- 2.5% in high emission scenario), suggesting that climate-driven decline in CF will exacerbate crop production loss and not provide climate adaptation alone. Although irrigation is effective in offsetting the projected production loss, irrigation areas have to be expanded by >5% in warm regions to fully offset climate-induced production losses by the 2050s.
   Climate change will impact agriculture, and this study shows cropping frequency and caloric yield are negatively impacted on the global scale by warming. While cold regions will increase cropping frequency, warm regions will see greater decreases, resulting in an overall decline in production.
C1 [Zhu, Peng; Ciais, Philippe] CEA, CNRS, UVSQ Orme Merisiers, Lab Sci Climat & Environm, Gif Sur Yvette, France.
   [Zhu, Peng] Univ Hong Kong, Dept Geog, Hong Kong, Peoples R China.
   [Zhu, Peng; Xin, Qinchuan] Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Peoples R China.
   [Burney, Jennifer] Univ Calif San Diego, Sch Global Policy & Strategy, La Jolla, CA 92093 USA.
   [Chang, Jinfeng] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou, Peoples R China.
   [Jin, Zhenong] Univ Minnesota, Dept Bioprod & Biosyst Engn, St Paul, MN 55108 USA.
   [Mueller, Nathaniel D.] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA.
   [Mueller, Nathaniel D.] Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA.
   [Xu, Jialu] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Zhuhai, Peoples R China.
   [Yu, Le] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling,Inst Global Change St, Beijing, Peoples R China.
   [Yu, Le] Minist Educ, Ecol Field Stn East Asian Migratory Birds, Beijing, Peoples R China.
   [Makowski, David] Univ Paris Saclay, INRAE, AgroParisTech, UMR 518,MIA, Palaiseau, France.
C3 Centre National de la Recherche Scientifique (CNRS); Universite Paris
   Saclay; CEA; University of Hong Kong; Sun Yat Sen University; University
   of California System; University of California San Diego; Zhejiang
   University; University of Minnesota System; University of Minnesota Twin
   Cities; Colorado State University; Colorado State University; Beijing
   Normal University; Tsinghua University; AgroParisTech; Universite Paris
   Saclay; INRAE
RP Zhu, P (corresponding author), CEA, CNRS, UVSQ Orme Merisiers, Lab Sci Climat & Environm, Gif Sur Yvette, France.; Zhu, P (corresponding author), Univ Hong Kong, Dept Geog, Hong Kong, Peoples R China.; Zhu, P (corresponding author), Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Peoples R China.
EM peng.zhu@lsce.ipsl.fr
RI Zhu, Peng/ABG-9079-2020; Makowski, David/V-4233-2019; Mueller,
   Nathan/E-5864-2010; Yu, Le/C-3701-2008; Xin, Qinchuan/O-3276-2014;
   CHANG, Jinfeng/A-4603-2019; Burney, Jennifer/C-6528-2015
OI Xu, Jialu/0000-0002-7745-2000; Yu, Le/0000-0003-3115-2042; Xin,
   Qinchuan/0000-0003-1146-4874; CHANG, Jinfeng/0000-0003-4463-7778;
   Burney, Jennifer/0000-0003-3532-2934
FU CLAND project [16-CONV-0003]; Tsinghua University Initiative Scientific
   Research Programme [2021Z11GHX002, 20223080017]; NSF/NIFA [1639318
   INFEWS/T1]; National Key Research and Development Programme of China
   [2017YFA0604300, 2021YFE0114500]; ISIPEDIA: The Open Inter-Sectoral
   Impacts Encyclopedia [ANR-17-ERA4-0006]; meta-programme CLIMAE-INRAE;
   Agence Nationale de la Recherche (ANR) [ANR-17-ERA4-0006] Funding
   Source: Agence Nationale de la Recherche (ANR)
FX P.Z. and P.C. are supported by the CLAND project (grant no.
   16-CONV-0003) and ISIPEDIA: The Open Inter-Sectoral Impacts Encyclopedia
   (grant no. ANR-17-ERA4-0006 - ISIPEDIA). D.M. is supported by the CLAND
   project (grant no. 16-CONV-0003) and meta-programme CLIMAE-INRAE. L.Y.
   is supported by Tsinghua University Initiative Scientific Research
   Programme (2021Z11GHX002, 20223080017). J.B. is supported by NSF/NIFA
   no. 1639318 INFEWS/T1. J.C. is supported by the National Key Research
   and Development Programme of China (2021YFE0114500). Q.X. is supported
   by National Key Research and Development Programme of China (grant no.
   2017YFA0604300).
CR Afifi T, 2014, CLIM DEV, V6, P53, DOI 10.1080/17565529.2013.826128
   Agnolucci P, 2020, NAT FOOD, V1, P562, DOI 10.1038/s43016-020-00148-x
   Ainsworth EA, 2021, GLOBAL CHANGE BIOL, V27, P27, DOI 10.1111/gcb.15375
   Asadieh B, 2015, HYDROL EARTH SYST SC, V19, P877, DOI 10.5194/hess-19-877-2015
   Brunelle T, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0242222
   Burney J, 2010, P NATL ACAD SCI USA, V107, P1848, DOI 10.1073/pnas.0909678107
   Cassman KG, 2020, NAT SUSTAIN, V3, P262, DOI 10.1038/s41893-020-0507-8
   Ceglar A, 2019, EARTHS FUTURE, V7, P1088, DOI 10.1029/2019EF001178
   Challinor AJ, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/3/034012
   Cohn AS, 2016, NAT CLIM CHANGE, V6, P601, DOI [10.1038/nclimate2934, 10.1038/NCLIMATE2934]
   Davis KF, 2021, NAT FOOD, V2, DOI 10.1038/s43016-020-00196-3
   Deryng D, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2009GB003765
   Di Paola A, 2018, LAND USE POLICY, V78, P70, DOI 10.1016/j.landusepol.2018.06.035
   Diffenbaugh NS, 2017, P NATL ACAD SCI USA, V114, P4881, DOI 10.1073/pnas.1618082114
   Ding MJ, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111123
   Duku C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192642
   Egli L, 2020, NATURE, V588, pE7, DOI 10.1038/s41586-020-2965-6
   FAOSTAT (Food and Agriculture Organization of the United Nations, 1997, FAOSTAT PROV FREE AC
   Feng PY, 2018, CLIMATIC CHANGE, V147, P555, DOI 10.1007/s10584-018-2170-x
   Flach R, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab9d04
   Folberth C, 2020, NAT SUSTAIN, V3, P281, DOI 10.1038/s41893-020-0505-x
   Friedl M., 2019, NASA EOSDIS Land Processes DAAC, DOI [10.5067/MODIS/MCD12Q2.006, DOI 10.5067/MODIS/MCD12Q2.006]
   Friedman J, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i01
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   Heilmayr R, 2020, NAT FOOD, V1, P801, DOI 10.1038/s43016-020-00194-5
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hodge I, 2015, CONSERV BIOL, V29, P996, DOI 10.1111/cobi.12531
   Hong CP, 2021, NATURE, V589, P554, DOI 10.1038/s41586-020-03138-y
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Kawasaki K, 2019, AM J AGR ECON, V101, P172, DOI 10.1093/ajae/aay051
   Lange S, 2019, GEOSCI MODEL DEV, V12, P3055, DOI 10.5194/gmd-12-3055-2019
   Lark TJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18045-z
   Laurance WF, 2014, TRENDS ECOL EVOL, V29, P107, DOI 10.1016/j.tree.2013.12.001
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   New M, 2002, CLIMATE RES, V21, P1, DOI 10.3354/cr021001
   Ortiz-Bobea A, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat4343
   Pendergrass AG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17966-y
   Petkeviciene B., 2009, Agronomy Research, V7, P436
   Pugh TAM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12608
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Raderschall CA, 2021, GLOBAL CHANGE BIOL, V27, P71, DOI 10.1111/gcb.15386
   Ray DK, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044041
   Scherer LA, 2018, GLOBAL ENVIRON CHANG, V48, P43, DOI 10.1016/j.gloenvcha.2017.11.009
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Seifert CA, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024002
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Stigter K., 2010, APPL AGROMETEOROLOGY, P531
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Sulla-Menashe D., 2018, Usgs Reston Va USA, P1, DOI [DOI 10.5067/MODIS/MCD12Q1.006, 10.5067/MODIS/MCD12Q1.006]
   Teluguntla P., 2015, LAND RESOURCES MONIT, P849
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Turner SWD, 2019, EARTHS FUTURE, V7, P123, DOI 10.1029/2018EF001105
   Van Beveren I, 2012, J ECON SURV, V26, P98, DOI 10.1111/j.1467-6419.2010.00631.x
   Waha K, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102131
   Wang XH, 2020, NAT SUSTAIN, V3, P908, DOI 10.1038/s41893-020-0569-7
   Willmott C.J, 2018, Terrestrial air temperature and precipitation: Monthly and annual time series (1950-1996)
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Wu WB, 2018, LAND USE POLICY, V76, P515, DOI 10.1016/j.landusepol.2018.02.032
   Xu JL, 2021, NAT FOOD, V2, P264, DOI 10.1038/s43016-021-00255-3
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   You LZ, 2011, FOOD POLICY, V36, P770, DOI 10.1016/j.foodpol.2011.09.001
   Yu QY, 2021, AGR SYST, V192, DOI 10.1016/j.agsy.2021.103180
   Zabel F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107522
   Zhang Y, 2020, CLIMATIC CHANGE, V158, P435, DOI 10.1007/s10584-019-02559-7
   Zheng BY, 2012, GLOBAL CHANGE BIOL, V18, P2899, DOI 10.1111/j.1365-2486.2012.02724.x
   Zhu P, 2021, GLOBAL CHANGE BIOL, V27, P550, DOI 10.1111/gcb.15427
   Zhu Peng, 2022, CLIMATE EFFECTS CALO, DOI 10.5281/zenodo.7038556
   Zhu WB, 2019, GEOPHYS RES LETT, V46, P11155, DOI 10.1029/2019GL083226
NR 72
TC 70
Z9 72
U1 39
U2 240
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 NOV
PY 2022
VL 12
IS 11
BP 1016
EP +
DI 10.1038/s41558-022-01492-5
EA OCT 2022
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 6A0SH
UT WOS:000865703700003
DA 2025-01-10
ER

PT J
AU Zhang, JP
   Zhang, F
   Tay, WT
   Robin, C
   Shi, Y
   Guan, F
   Yang, YH
   Wu, YD
AF Zhang, Jianpeng
   Zhang, Feng
   Tay, Wee Tek
   Robin, Charles
   Shi, Yu
   Guan, Fang
   Yang, Yihua
   Wu, Yidong
TI Population genomics provides insights into lineage divergence and local
   adaptation within the cotton bollworm
SO MOLECULAR ECOLOGY RESOURCES
LA English
DT Article
DE cotton bollworm; genetic structure; local adaptation; population
   genomics
ID HELICOVERPA-ARMIGERA; INSECTICIDE RESISTANCE; READ ALIGNMENT; GENE FLOW;
   PEST; LEPIDOPTERA; INFERENCE; EVOLUTION; DETOXIFICATION; IDENTIFICATION
AB The cotton bollworm Helicoverpa armigera is a cosmopolitan pest and its diverse habitats plausibly contribute to the formation of diverse lineages. Despite the significant threat it poses to economic crops worldwide, its evolutionary history and genetic basis of local adaptation are poorly understood. In this study, we de novo assembled a high-quality chromosome-level reference genome of H. a. armigera (contig N50 = 7.34 Mb), with 99.13% of the HaSCD2 assembly assigned to 31 chromosomes (Z-chromosome + 30 autosomes). We constructed an ultradense variation map across 14 cotton bollworm populations and identified a novel lineage in northwestern China. Historical inference showed that effective population size changes coincided with global temperature fluctuation. We identified nine differentiated genes in the three H. armigera lineages (H. a. armigera, H. a. conferta and the new northwestern Chinese lineage), of which per and clk genes are involved in circadian rhythm. Selective sweep analyses identified a series of Gene Ontology categories related to climate adaptation, feeding behaviour and insecticide tolerance. Our findings reveal fundamental knowledge of the local adaptation of different cotton bollworm lineages and will guide the formulation of cotton bollworm management measures at different scales.
C1 [Zhang, Jianpeng; Zhang, Feng; Shi, Yu; Guan, Fang; Yang, Yihua; Wu, Yidong] Nanjing Agr Univ, Coll Plant Prot, Nanjing, Peoples R China.
   [Tay, Wee Tek] CSIRO Black Mt Labs, Canberra, ACT, Australia.
   [Robin, Charles] Univ Melbourne, Sch Biosci, Parkville, Vic, Australia.
C3 Nanjing Agricultural University; Commonwealth Scientific & Industrial
   Research Organisation (CSIRO); University of Melbourne
RP Wu, YD (corresponding author), Nanjing Agr Univ, Coll Plant Prot, Nanjing, Peoples R China.
EM wyd@njau.edu.cn
RI Yang, Yihua/CAA-7021-2022; Wu, Yidong/E-9720-2012; Robin,
   Charles/F-7786-2010; Tay, Wee Tek/C-1818-2008
OI Wu, Yidong/0000-0003-3456-3373; Jianpeng, Zhang/0000-0002-1904-5124;
   Guan, Fang/0000-0003-0758-1672; Robin, Charles/0000-0002-7733-6763; Tay,
   Wee Tek/0000-0002-8451-0811; Yang, Yihua/0000-0002-5561-1269
FU National Natural Science Foundation of China [31930093]; SAFEA of China
   [BP0719029]; CSIRO Health Biosecurity
FX This study was supported by grants from the National Natural Science
   Foundation of China (grant no. 31930093 to Y.W.) and the SAFEA of China
   (grant no. BP0719029 to Y.W.). We thank Yanhui Lu for providing cotton
   bollworm samples from northwestern China, and Shuai Zhan for critical
   reading of the manuscript. W.T.T. was supported by CSIRO Health &
   Biosecurity.
CR Alonge M, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1829-6
   Anderson CJ, 2016, MOL ECOL, V25, P5296, DOI 10.1111/mec.13841
   Anderson CJ, 2018, P NATL ACAD SCI USA, V115, P5034, DOI 10.1073/pnas.1718831115
   Aramaki T, 2020, BIOINFORMATICS, V36, P2251, DOI 10.1093/bioinformatics/btz859
   Arnemann JA, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55919-9
   Arrese EL, 2010, ANNU REV ENTOMOL, V55, P207, DOI 10.1146/annurev-ento-112408-085356
   Balabanidou V, 2018, CURR OPIN INSECT SCI, V27, P68, DOI 10.1016/j.cois.2018.03.001
   Bao WD, 2015, MOBILE DNA-UK, V6, DOI 10.1186/s13100-015-0041-9
   Behere GT, 2008, B ENTOMOL RES, V98, P599, DOI 10.1017/S0007485308005956
   Behere GT, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-117
   Behere GT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053448
   Biswas S, 2006, TRENDS GENET, V22, P437, DOI 10.1016/j.tig.2006.06.005
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
   Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
   Chakraborty M, 2016, NUCLEIC ACIDS RES, V44, DOI 10.1093/nar/gkw654
   Chen Y, 2015, NUCLEIC ACIDS RES, V43, P7762, DOI 10.1093/nar/gkv784
   Chin CS, 2016, NAT METHODS, V13, P1050, DOI [10.1038/nmeth.4035, 10.1038/NMETH.4035]
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Cui L, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-016-3431-6
   Czepak Cecília, 2013, Pesqui. Agropecu. Trop., V43, P110, DOI 10.1590/S1983-40632013000100015
   Ding D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07529-8
   El-Gebali S, 2019, NUCLEIC ACIDS RES, V47, pD427, DOI 10.1093/nar/gky995
   FITT GP, 1989, ANNU REV ENTOMOL, V34, P17, DOI 10.1146/annurev.en.34.010189.000313
   Flynn JM, 2020, P NATL ACAD SCI USA, V117, P9451, DOI 10.1073/pnas.1921046117
   Fritz ML, 2018, MOL ECOL, V27, P167, DOI 10.1111/mec.14430
   Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
   Gloss AD, 2014, MOL BIOL EVOL, V31, P2441, DOI 10.1093/molbev/msu201
   Gouin A, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10461-4
   Guo MB, 2021, MOL BIOL EVOL, V38, P1413, DOI 10.1093/molbev/msaa300
   Hardwick D. F., 1965, Memoirs of the Entomology Society of Canada
   Hoff KJ, 2016, BIOINFORMATICS, V32, P767, DOI 10.1093/bioinformatics/btv661
   Holt C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-491
   Hsu SK, 2021, MOL ECOL, V30, P884, DOI 10.1111/mec.15649
   Hubley R, 2016, NUCLEIC ACIDS RES, V44, pD81, DOI 10.1093/nar/gkv1272
   Jiao WB, 2017, GENOME RES, V27, P778, DOI 10.1101/gr.213652.116
   Jin L, 2018, P NATL ACAD SCI USA, V115, P11760, DOI 10.1073/pnas.1812138115
   Jin MH, 2019, PESTIC BIOCHEM PHYS, V154, P46, DOI 10.1016/j.pestbp.2018.12.007
   Jones CM, 2019, ANNU REV ENTOMOL, V64, P277, DOI 10.1146/annurev-ento-011118-111959
   Joussen N, 2012, P NATL ACAD SCI USA, V109, P15206, DOI 10.1073/pnas.1202047109
   Keightley PD, 2015, MOL BIOL EVOL, V32, P239, DOI 10.1093/molbev/msu302
   Kim D, 2015, NAT METHODS, V12, P357, DOI [10.1038/NMETH.3317, 10.1038/nmeth.3317]
   Klai K, 2020, INSECTS, V11, DOI 10.3390/insects11120879
   Koren S, 2017, GENOME RES, V27, P722, DOI 10.1101/gr.215087.116
   Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109
   Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
   Lewis TE, 2018, NUCLEIC ACIDS RES, V46, pD435, DOI 10.1093/nar/gkx1069
   Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
   Li H, 2011, NATURE, V475, P493, DOI 10.1038/nature10231
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Lomsadze A, 2005, NUCLEIC ACIDS RES, V33, P6494, DOI 10.1093/nar/gki937
   Low WY, 2010, J MOL BIOL, V399, P358, DOI 10.1016/j.jmb.2010.04.020
   Marchler-Bauer A, 2017, NUCLEIC ACIDS RES, V45, pD200, DOI 10.1093/nar/gkw1129
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Meng GL, 2019, NUCLEIC ACIDS RES, V47, DOI 10.1093/nar/gkz173
   Merlin C, 2009, SCIENCE, V325, P1700, DOI 10.1126/science.1176221
   Mi HY, 2019, NUCLEIC ACIDS RES, V47, pD419, DOI 10.1093/nar/gky1038
   Mitchell AL, 2019, NUCLEIC ACIDS RES, V47, pD351, DOI 10.1093/nar/gky1100
   Montagné N, 2015, PROG MOL BIOL TRANSL, V130, P55, DOI 10.1016/bs.pmbts.2014.11.003
   Montero-Mendieta S, 2019, MOL ECOL, V28, P746, DOI 10.1111/mec.14986
   Nibouche S, 1998, HEREDITY, V80, P438, DOI 10.1046/j.1365-2540.1998.00273.x
   O'Leary NA, 2016, NUCLEIC ACIDS RES, V44, pD733, DOI 10.1093/nar/gkv1189
   Patterson N, 2006, PLOS GENET, V2, P2074, DOI 10.1371/journal.pgen.0020190
   Pearce SL, 2017, BMC BIOL, V15, DOI 10.1186/s12915-017-0402-6
   Pertea M, 2015, NAT BIOTECHNOL, V33, P290, DOI 10.1038/nbt.3122
   Presgraves DC, 2018, MOL ECOL, V27, P3822, DOI 10.1111/mec.14777
   Quan QM, 2019, INSECT BIOCHEM MOLEC, V105, P25, DOI 10.1016/j.ibmb.2018.12.007
   Raj A, 2014, GENETICS, V197, P573, DOI 10.1534/genetics.114.164350
   Rane RV, 2019, CURR OPIN INSECT SCI, V31, P131, DOI 10.1016/j.cois.2018.12.008
   Rastas P, 2017, BIOINFORMATICS, V33, P3726, DOI 10.1093/bioinformatics/btx494
   Roach MJ, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2485-7
   Sedlazeck FJ, 2018, NAT METHODS, V15, P461, DOI 10.1038/s41592-018-0001-7
   Sedlazeck FJ, 2018, NAT REV GENET, V19, P329, DOI 10.1038/s41576-018-0003-4
   Shen W, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163962
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Song SV, 2018, B ENTOMOL RES, V108, P817, DOI 10.1017/S0007485318000081
   Stanke M, 2004, NUCLEIC ACIDS RES, V32, pW309, DOI 10.1093/nar/gkh379
   Tabashnik BE, 2017, NAT BIOTECHNOL, V35, P926, DOI 10.1038/nbt.3974
   Tang HB, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-014-0573-1
   Tarailo-Graovac Maja, 2009, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0410s25
   Tay WT, 2019, CURR OPIN INSECT SCI, V31, P123, DOI 10.1016/j.cois.2018.12.002
   Tay WT, 2017, SCI REP-UK, V7, DOI 10.1038/srep45302
   Tay WT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080134
   Tay WT, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-144
   Teets NM, 2012, P NATL ACAD SCI USA, V109, P20744, DOI 10.1073/pnas.1218661109
   Terhorst Jonathan, 2017, Nat Genet, V49, P303, DOI 10.1038/ng.3748
   Tomioka K, 2015, CURR OPIN INSECT SCI, V7, P58, DOI 10.1016/j.cois.2014.12.006
   Valencia-Montoya WA, 2020, MOL BIOL EVOL, V37, P2568, DOI 10.1093/molbev/msaa108
   Van Belleghem SM, 2018, MOL ECOL, V27, P3852, DOI 10.1111/mec.14560
   Van Leeuwen T, 2020, CURR OPIN INSECT SCI, V39, P69, DOI 10.1016/j.cois.2020.03.006
   Vurture GW, 2017, BIOINFORMATICS, V33, P2202, DOI 10.1093/bioinformatics/btx153
   Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
   Walsh TK, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0197760
   Walsh TK, 2019, ECOL EVOL, V9, P2933, DOI 10.1002/ece3.4971
   Wang YZ, 2017, MOL ECOL, V26, P6892, DOI 10.1111/mec.14387
   Wang YP, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gkr1293
   Weeks AR, 2010, B ENTOMOL RES, V100, P445, DOI 10.1017/S0007485309990460
   Wilson D, 2009, NUCLEIC ACIDS RES, V37, pD380, DOI 10.1093/nar/gkn762
   Wolf JBW, 2017, NAT REV GENET, V18, P87, DOI 10.1038/nrg.2016.133
   Wu KM, 2005, ANNU REV ENTOMOL, V50, P31, DOI 10.1146/annurev.ento.50.071803.130349
   Wu NN, 2019, NAT ECOL EVOL, V3, P105, DOI 10.1038/s41559-018-0746-5
   Xia QY, 2009, SCIENCE, V326, P433, DOI 10.1126/science.1176620
   Xu W, 2020, INSECT SCI, V27, P1148, DOI 10.1111/1744-7917.12718
   Yang YH, 2013, J ECON ENTOMOL, V106, P375, DOI 10.1603/EC12286
   Yu GC, 2012, OMICS, V16, P284, DOI 10.1089/omi.2011.0118
   Zhu JJ, 2017, GIGASCIENCE, V6, DOI 10.1093/gigascience/gix109
NR 108
TC 26
Z9 26
U1 6
U2 79
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1755-098X
EI 1755-0998
J9 MOL ECOL RESOUR
JI Mol. Ecol. Resour.
PD JUL
PY 2022
VL 22
IS 5
BP 1875
EP 1891
DI 10.1111/1755-0998.13581
EA JAN 2022
PG 17
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA 1W9GS
UT WOS:000747860500001
PM 35007400
DA 2025-01-10
ER

PT J
AU O'Connell, C
   Gay, R
   McDonald, N
   Tayal, S
AF O'Connell, Caela
   Gay, Rosemary
   McDonald, Noreen
   Tayal, Sita
TI COVID Connections: Lessons from Adaptations to COVID-19 as Strategies
   for Building Food System Resilience
SO CULTURE AGRICULTURE FOOD AND ENVIRONMENT
LA English
DT Article
DE resilience; food systems; sustainability; COVID-19; food insecurity;
   climate adaptation
ID INSECURITY; ADOPTION; CRISIS
AB To identify elements of crisis response that might hold lessons for resilience beyond the current moment, we studied a central North Carolina food system during the COVID-19 pandemic. Based on ethnographic interviews with farmers, employees and volunteers of food access organizations, and local government employees, our work found that connection, networking, innovation, and technology adoption were sources of strength and growth. Lessons: food system actors found that their social connections helped them to exchange information and resources, meet increased food needs among SNAP (Supplemental Nutrition Assistance Program) participants and Latina/os immigrants, and combine efforts to adopt technologies and learn from new labor pools. Challenges: while navigating COVID-19, food system actors faced challenges spanning labor, safety, information, government policies, supply shortages, weather, and unreliable information. In addition to lessons and challenges, we offer a series of future research directions that we identified in our study findings. Our study shows that small-scale production and local food organization and government responses are important and dynamic parts of a resilient food system. Regional systems' actors were able to pivot more quickly than large-scale systems and presented a more flexible, locally suitable model that will likely prove adaptive beyond the pandemic.
C1 [O'Connell, Caela; Gay, Rosemary; McDonald, Noreen; Tayal, Sita] Univ North Carolina Chapel Hill, Chapel Hill, NC 27599 USA.
C3 University of North Carolina School of Medicine; University of North
   Carolina; University of North Carolina Chapel Hill
RP O'Connell, C (corresponding author), Univ North Carolina Chapel Hill, Chapel Hill, NC 27599 USA.
EM caela@email.unc.edu
OI O'Connell, Caela/0000-0002-5114-8270
FU UNC Institute for Arts and Humanities and City and Regional Planning
FX We wish to thank the UNC Institute for Arts and Humanities and City and
   Regional Planning for research funding, our research participants for
   their generous sharing of time during the ongoing pandemic, Kristen
   Baughman of Curly Girl Farm in Zanesville, OH, the SECR Lab research
   team, the COVID-19 + Regional Food Systems Working Group collective,
   Laura-Anne Minkoff-Zern for assistance, our fellow contributors, and the
   wonderful CAFE editors.
CR Bazerghi C, 2016, J COMMUN HEALTH, V41, P732, DOI 10.1007/s10900-015-0147-5
   Béné C, 2020, FOOD SECUR, V12, P805, DOI 10.1007/s12571-020-01076-1
   Booth S, 2018, PUBLIC HEALTH NUTR, V21, P2831, DOI 10.1017/S1368980018001428
   Carney M, 2012, AGR HUM VALUES, V29, P185, DOI 10.1007/s10460-011-9333-y
   Carolina Farm Stewards Association (CFSA), 2015, NC FARM MARK HEAD
   Castello Gabriela., 2020, 17A RED
   Stowers KC, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0239778
   DeGuzmán M, 2017, CULT DYN, V29, P214, DOI 10.1177/0921374017727852
   Di Vaio A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124851
   Dunn CG, 2020, NEW ENGL J MED, V382, DOI 10.1056/NEJMp2005638
   García AD, 2020, HUM ORGAN, V79, P323
   Gardezi M, 2020, PRECIS AGRIC, V21, P549, DOI 10.1007/s11119-019-09681-7
   Heuer JacquelynN., 2020, Practicing Anthropology, V42, P13, DOI DOI 10.17730/0888-4552.42.4.13
   Hobbs JE, 2020, CAN J AGR ECON, V68, P171, DOI 10.1111/cjag.12237
   Kochkodin Brandon., 2020, BLOOMBERG
   Laborde D, 2020, SCIENCE, V369, P500, DOI 10.1126/science.abc4765
   Lambert DM, 2015, J AGR RESOUR ECON, V40, P325
   Lamprou DA, 2020, EXPERT REV MED DEVIC, V17, P1007, DOI 10.1080/17434440.2020.1792287
   Lewis C, 2021, CULT AGRIC FOOD ENVI, V43, P107, DOI 10.1111/cuag.12280
   Maertens A, 2013, AM J AGR ECON, V95, P353, DOI 10.1093/ajae/aas049
   Marusak A, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103101
   Mather M., 2014, Population Bulletin, V69, P1
   Munger AL, 2015, J IMMIGR MINOR HEALT, V17, P1548, DOI 10.1007/s10903-014-0124-6
   Nose M, 2016, J DEV STUD, V52, P1665, DOI 10.1080/00220388.2016.1171846
   O'Connell C, 2018, EARTHSCAN FOOD AGRIC, P38
   Ordonez E., 2020, RALEIGH IS 2 FASTEST
   Page KR, 2020, NEW ENGL J MED, V382, DOI 10.1056/NEJMp2005953
   Potochnick S, 2016, SOC SCI RES, V60, P88, DOI 10.1016/j.ssresearch.2016.03.001
   Prokopy LS, 2019, J SOIL WATER CONSERV, V74, P520, DOI 10.2489/jswc.74.5.520
   Pulighe G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125012
   Rogers E. M., 1962, Diffusion of Innovations, V1st ed.
   RUSSOMANNO J, 2020, BMC PUBLIC HEALTH, V20
   Salinas C.J., 2020, Journal of Hispanic Higher Education, V19, P149, DOI [DOI 10.1177/1538192719900382, https://doi.org/10.1177/1538192719900382]
   Torous John, 2020, JMIR Ment Health, V7, pe18848, DOI 10.2196/18848
   Torres L, 2018, LAT STUD, V16, P283, DOI 10.1057/s41276-018-0142-y
   Walton JC, 2008, J AGR RESOUR ECON, V33, P428
   Wolfson JA, 2020, AM J PUBLIC HEALTH, V110, P1763, DOI 10.2105/AJPH.2020.305953
NR 37
TC 9
Z9 9
U1 1
U2 13
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2153-9553
EI 2153-9561
J9 CULT AGRIC FOOD ENVI
JI Cult. Agric. Food Environ.
PD DEC
PY 2021
VL 43
IS 2
SI SI
BP 123
EP 136
DI 10.1111/cuag.12276
EA DEC 2021
PG 14
WC Agricultural Economics & Policy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA XY0TA
UT WOS:000731292600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Nelson, M
   Ehrenfeucht, R
   Birch, T
   Brand, A
AF Nelson, Marla
   Ehrenfeucht, Renia
   Birch, Traci
   Brand, Anna
TI Getting By and Getting Out: How Residents of Louisiana's Frontline
   Communities Are Adapting to Environmental Change
SO HOUSING POLICY DEBATE
LA English
DT Article
DE relocation; climate adaptation; frontline communities
ID HURRICANE KATRINA; NEW-ORLEANS; DISASTER; ADAPTATION; DIMENSIONS;
   MIGRATION
AB Scholars argue that U.S. programs and policy designed to help households adapt to or move away from environmental risk were not designed to address climate change. Others demonstrate that disaster response upholds and produces structural inequality. This article examines how existing mitigation and adaptation policies fail to respond to lived conditions of residents and communities on the front lines of environmental change and perpetuate inequality. Based on interviews with residents in the lower bayou communities of Terrebonne Parish, Louisiana, and professionals working in the study area, we identified three factors that influence the outcomes of mitigation and relocation initiatives. First, we found that adaptation is a dynamic, ongoing process which can lead to the need for multiple types of assistance for a given property or household over time. Second, program timing and how residents make decisions about whether and how to rebuild or relocate are misaligned. Third, current programs deny resources to frontline communities by creating participation barriers for low- and moderate-income households. The findings affirm the need for more flexible policy guidelines if assistance programs are to transform communities in ways that respond to resident priorities and the realities of environmental change.
C1 [Nelson, Marla] Univ New Orleans, Dept Planning & Urban Studies, New Orleans, LA 70148 USA.
   [Ehrenfeucht, Renia] Univ New Mexico, Community Reg Planning Dept, Albuquerque, NM 87131 USA.
   [Birch, Traci] Louisiana State Univ, Sch Architecture, Baton Rouge, LA 70803 USA.
   [Brand, Anna] Univ Calif Berkeley, Dept Landscape Architecture & Environm Planning, Berkeley, CA 94720 USA.
C3 University of Louisiana System; University of New Orleans; University of
   New Mexico; Louisiana State University System; Louisiana State
   University; University of California System; University of California
   Berkeley
RP Nelson, M (corresponding author), Univ New Orleans, Dept Planning & Urban Studies, New Orleans, LA 70148 USA.
EM mnelson@uno.edu
FU Water Institute of the Gulf [2000249131]; Department of the Treasury
   through the Louisiana Coastal Protection and Restoration Authority
   (CPRA)'s Center of Excellence Research Grants Program
FX This project was funded by The Water Institute of the Gulf [under
   project award 2000249131]. This project was paid for with federal
   funding from the Department of the Treasury through the Louisiana
   Coastal Protection and Restoration Authority (CPRA)'s Center of
   Excellence Research Grants Program under the Resources and Ecosystems
   Sustainability, Tourist Opportunities, and Revived Economies of the Gulf
   Coast States Act of 2012 (RESTORE Act). The statements, findings,
   conclusions, and recommendations are those of the authors and do not
   necessarily reflect the views of the Department of the Treasury, CPRA,
   or The Water Institute of the Gulf.
CR Anderson DG, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188142
   Austin DE, 2006, AM ANTHROPOL, V108, P671, DOI 10.1525/aa.2006.108.4.671
   Baker CK, 2018, RISK HAZARDS CRISIS, V9, P455, DOI 10.1002/rhc3.12144
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   BERKE PR, 1993, DISASTERS, V17, P93, DOI 10.1111/j.1467-7717.1993.tb01137.x
   Binder SB, 2016, POLITICS GOV, V4, P97, DOI 10.17645/pag.v4i4.738
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Bukvic A, 2019, COAST MANAGE, V47, P611, DOI 10.1080/08920753.2019.1669103
   Climate Justice Working Group, 2017, ADV CLIM JUST CAL GU
   Coastal Protection and Restoration Authority (CPRA), 2017, LOUIS COMKPR MAST PL
   Condit-Bergren, 2016, THESIS U CALIF
   Couvillion E., 2019, ADVOCATE
   Das Ashok., 2019, SURABAYA LEGACY PART
   de Vries D.H., 2012, International Journal of Mass Emergencies Disasters, V30, P1, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   Dermansky, 2019, ISLE J CHARLES TRIBE
   Fraser J.C., 2003, Implementing Floodplain Land Acquisition Programs in Urban Localities
   Freudenberg R., 2016, Buy-in for buyouts: the case for managed retreat from flood zones
   Fussell E, 2014, GLOBAL ENVIRON CHANG, V28, P182, DOI 10.1016/j.gloenvcha.2014.07.001
   Fussell E, 2010, POPUL ENVIRON, V31, P20, DOI 10.1007/s11111-009-0092-2
   Gaillard JC, 2012, CLIM DEV, V4, P261, DOI 10.1080/17565529.2012.742846
   GAO, 2020, GAO20488
   Gramling R, 2005, J COASTAL RES, P112
   GRAMLING R, 1987, J ETHNIC STUD, V15, P33
   Green TF, 2012, HOUS POLICY DEBATE, V22, P75, DOI 10.1080/10511482.2011.624530
   Greer A, 2020, POPUL ENVIRON, V41, P306, DOI 10.1007/s11111-019-00332-7
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   Hummel, 2007, LEGAL HIST PUBLICATI, V11
   Humphries AT, 2019, ECOL SOC, V24, DOI 10.5751/ES-11101-240337
   Hunter LM, 2005, POPUL ENVIRON, V26, P273, DOI 10.1007/s11111-005-3343-x
   Hunter LM, 2015, ANNU REV SOCIOL, V41, P377, DOI 10.1146/annurev-soc-073014-112223
   Iuchi Kanako, 2010, THESIS U ILLINOIS
   Jarvie J, 2019, LOS ANGELES TIMES
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   LoukaitouSideris A, 2009, URBAN IND ENVIRON, P1
   Maldonado JK, 2014, J POLIT ECOL, V21, P61, DOI 10.2458/v21i1.21125
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   McGuire T., 2008, 2008045 OCS MMS US D, VIV, P90
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   Mukhija Vinit., 2014, INFORMAL AM CITY TAC, DOI DOI 10.7551/MITPRESS/9613.001.0001
   Nance E, 2007, J PLAN EDUC RES, V26, P284, DOI 10.1177/0739456X06295028
   Nejat A., 2018, International Journal of Mass Emergencies and Disasters, V36, P23
   Nelson M., 2020, BUYOUTS ADAPTIVE MIG
   Olshansky RB, 2006, J AM PLANN ASSOC, V72, P147, DOI 10.1080/01944360608976735
   Phillips B, 2012, J BLACK STUD, V43, P405, DOI 10.1177/0021934711425489
   Rivera DZ, 2022, INT J URBAN REGIONAL, V46, P126, DOI 10.1111/1468-2427.12950
   Tuck E, 2009, HARVARD EDUC REV, V79, P409, DOI 10.17763/haer.79.3.n0016675661t3n15
   Weber & Moore, 2019, GOING LONG WAIT TIME
NR 49
TC 8
Z9 9
U1 1
U2 5
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1051-1482
EI 2152-050X
J9 HOUS POLICY DEBATE
JI Hous. Policy Debate
PD JAN 2
PY 2022
VL 32
IS 1
SI SI
BP 84
EP 101
DI 10.1080/10511482.2021.1925944
EA JUN 2021
PG 18
WC Development Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Urban Studies
GA YN0ZJ
UT WOS:000667998000001
DA 2025-01-10
ER

PT J
AU Liu, AY
   Trtanj, JM
   Lipp, EK
   Balbus, JM
AF Liu, Ann Y.
   Trtanj, Juli M.
   Lipp, Erin K.
   Balbus, John M.
TI Toward an integrated system of climate change and human health
   indicators: a conceptual framework
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Health; Public health; Indicators; Indicator system;
   Framework
ID UNITED-STATES; IMPACTS; ENVIRONMENT; POLLEN; VIBRIO
AB Environmental health indicators are helpful for tracking and communicating complex health trends, informing science and policy decisions, and evaluating public health actions. When provided on a national scale, they can help inform the general public, policymakers, and public health professionals about important trends in exposures and how well public health systems are preventing those exposures from causing adverse health outcomes. There is a growing need to understand national trends in exposures and health outcomes associated with climate change and the effectiveness of climate adaptation strategies for health. To date, most indicators for health implications of climate change have been designed as independent, individual metrics. This approach fails to take into account how exposure-outcome pathways for climate-attributable health outcomes involve multiple, interconnected components. We propose reframing climate change and health indicators as a linked system of indicators, which can be described as follows: upstream climate drivers affect environmental states, which then determine human exposures, which ultimately lead to health outcomes; these climate-related risks are modified by population vulnerabilities and adaptation strategies. We apply this new conceptual framework to three illustrative climate-sensitive health outcomes and associated exposure-outcome pathways: pollen allergies and asthma, West Nile virus infection, and vibriosis.
C1 [Liu, Ann Y.; Balbus, John M.] NIEHS, Off Director, Bethesda, MD 20814 USA.
   [Trtanj, Juli M.] NOAA, Climate Program Off, Silver Spring, MD USA.
   [Lipp, Erin K.] Univ Georgia, Off Acad Affairs Environm Hlth Sci, Coll Publ Hlth, Athens, GA 30602 USA.
C3 National Institutes of Health (NIH) - USA; NIH National Institute of
   Environmental Health Sciences (NIEHS); NIH National Cancer Institute
   (NCI); NCI Office of the Director; National Oceanic Atmospheric Admin
   (NOAA) - USA; University System of Georgia; University of Georgia
RP Balbus, JM (corresponding author), NIEHS, Off Director, Bethesda, MD 20814 USA.
EM john.balbus@nih.gov
OI Balbus, John/0000-0003-3356-8332
FU NIH, National Institute of Environmental Health Sciences
FX This work was supported, in part, by the NIH, National Institute of
   Environmental Health Sciences.
CR Anenberg SC, 2017, GEOHEALTH, V1, P80, DOI 10.1002/2017GH000055
   Avery CW, 2018, IMPACTS RISKS ADAPTA, VII
   Barnes CS, 2018, CURR ALLERGY ASTHM R, V18, DOI 10.1007/s11882-018-0813-7
   Beard C B., 2016, The impacts of climate change on human health in the United States: A scientific assessment
   Beard C. B., 2016, Vectorborne Diseases, P129
   Behrendt H, 2012, CHEM IMMUNOL ALLERGY, V96, P7, DOI 10.1159/000331804
   Boylan S, 2018, PUBLIC HEALTH RES PR, V28, DOI 10.17061/phrp2841826
   Briggs D., 2003, Making a difference: Indicators to improve children's environmental health
   CDC, 10 ESS PUBL HLTH SER
   CDC, NAT ENV PUBL HLTH TR
   Corvalán CF, 1999, EPIDEMIOLOGY, V10, P656, DOI 10.1097/00001648-199909000-00036
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Davis CE, 2013, NEW ENGL J MED, V369, P94, DOI [10.1056/NEJMra1109341, 10.1056/NEJMc1305749]
   Ebi KL, 2008, CLIMATIC CHANGE, V88, P5, DOI 10.1007/s10584-006-9233-0
   Ebi KL, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091943
   Ebi KL, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP1509
   EEA, ENV INDICATORS TYPOL
   English PB, 2009, ENVIRON HEALTH PERSP, V117, P1673, DOI 10.1289/ehp.0900708
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Friend A., 1979, Towards a comprehensive framework for environment statistics: A stress-response approach
   Fussel H., 2004, Conceptual Frameworks of Adaptation to Climate Change and their Application to Human Health
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Haines A, 2019, NEW ENGL J MED, V380, P263, DOI 10.1056/NEJMra1807873
   Hambling T, 2011, INT J ENV RES PUB HE, V8, P2854, DOI 10.3390/ijerph8072854
   Hess A, 2018, GEOHEALTH, V2, P395, DOI 10.1029/2018GH000161
   Hess J, PROJECTING CLIMATE R
   Katelaris CH, 2018, INTERN MED J, V48, P129, DOI 10.1111/imj.13699
   Kenney M.A., 2018, Climatic Change, P1
   Kenney MA, 2016, CLIMATIC CHANGE, V135, P85, DOI 10.1007/s10584-016-1609-1
   Kjellstrom Tord, 1995, World Health Statistics Quarterly, V48, P144
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Niemeijer D, 2008, ECOL INDIC, V8, P14, DOI 10.1016/j.ecolind.2006.11.012
   OECD, OECD COR SET IND ENV
   Paull SH, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2078
   Paz S, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0561
   Paz S, 2013, INT J ENV RES PUB HE, V10, P3543, DOI 10.3390/ijerph10083543
   Rogers D. J., 2006, ADV PARASITOLOGY
   Sapkota A, 2020, JAMA NETW OPEN, V3, DOI 10.1001/jamanetworkopen.2020.7551
   Semenza JC, 2012, CRIT REV ENV SCI TEC, V42, P857, DOI 10.1080/10643389.2010.534706
   Skaff NK, 2020, P ROY SOC B-BIOL SCI, V287, DOI 10.1098/rspb.2020.1065
   TACKET CO, 1984, J INFECT DIS, V149, P558, DOI 10.1093/infdis/149.4.558
   Tong S, 2019, ENVIRON RES, V174, P9, DOI 10.1016/j.envres.2019.04.012
   Vaidyanathan A, 2020, MMWR-MORBID MORTAL W, V69, P729, DOI 10.15585/mmwr.mm6924a1
   Vezzulli L, 2016, P NATL ACAD SCI USA, V113, pE5062, DOI 10.1073/pnas.1609157113
   Vezzulli L, 2013, MICROB ECOL, V65, P817, DOI 10.1007/s00248-012-0163-2
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Wilkinson P, 2003, MONITORING HLTH EFFE
   Xun WW, 2010, INT J PUBLIC HEALTH, V55, P85, DOI 10.1007/s00038-009-0091-1
   Ziska LH, 2019, LANCET PLANET HEALTH, V3, pE124, DOI 10.1016/S2542-5196(19)30015-4
NR 50
TC 9
Z9 10
U1 6
U2 30
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 2021
VL 166
IS 3-4
AR 49
DI 10.1007/s10584-021-03125-w
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA TB8CM
UT WOS:000668174100001
PM 34912130
OA hybrid, Green Accepted, Green Submitted
DA 2025-01-10
ER

PT C
AU Myint, ML
AF Myint, Mar Lar
GP IOP Publishing
TI Evaluation of Crop Water Requirements for Yazagyo Irrigated Area,
   <i>Myanmar</i>
SO 4TH INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING &
   12TH REGIONAL CONFERENCE IN CIVIL ENGINEERING (ICONBUILD & RCCE 2019)
SE IOP Conference Series-Materials Science and Engineering
LA English
DT Proceedings Paper
CT 4th International Conference on Construction and Building Engineering
   (ICONBUILD) / 12th Regional Conference in Civil Engineering (RCCE )
CY AUG 20-22, 2019
CL Langkawi, MALAYSIA
SP Univ Teknologi Malaysia, Construct Res Ctr, AUN SEED Net, Univ Sriwijaya, Construct Res Inst
AB Accurate estimation of crop water requirements (ETc) is essential for the irrigation scheduling and water management of Yazagyo irrigated area, Myanmar. FAO defined the crop water requirements as the depth of water needed to meet the water loss through evapotranspiration of a crop, being disease-free, growing in large fields under non-restricting soil conditions, including soil water and fertility, and achieving full production potential under the given growing environment. It is essential to have a clear idea about the optimum water requirement for proposed crops under adaptable climatic conditions. The optimal crop water requirement mainly depends upon the accurate estimation of evapotranspiration and crop coefficient. To perform in this study, firstly Meteorological data of Kalay Station, in Myanmar are collected from 1995 to 2018. On the other hand, the different kinds of crops such as paddy, groundnut, sesame, sunflower, bean, and pea are considered for the estimation of seasonal crop water requirements for this area. Based on the crop growth stages in this area, crop coefficient curves are developed and crop coefficients are determined for each crop according to FAO manual. By using monthly crop coefficients and CROPWAT 8.0 software, reference crop evapotranspiration, crop water requirements and total irrigation requirements are presented for the selected area.
C1 [Myint, Mar Lar] Yangon Technol Univ, Dept Civil Engn, Insein Rd, Yangon, Myanmar.
RP Myint, ML (corresponding author), Yangon Technol Univ, Dept Civil Engn, Insein Rd, Yangon, Myanmar.
EM marlarmyintmaw81@gmail.com
CR Aboukhaled A., 13 FAO
   Das Krishna Kamal, 2018, ASSESSMENTS CROP WAT
   Doorenbos J., 1992, FAO IRRIGATION DRAIN
   *FAO, IRR WAT MAN TRAIN MA
   Lar myint Mar, 2010, THESIS
   Marasovic A., WAT US SEM DAM
   MOAI, 2004, INF MYANM AGR
   Richard G., 1998, 56 FAO
NR 8
TC 1
Z9 1
U1 5
U2 18
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1757-8981
J9 IOP CONF SER-MAT SCI
PY 2020
VL 849
AR 012090
DI 10.1088/1757-899X/849/1/012090
PG 7
WC Construction & Building Technology; Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering
GA BQ4RH
UT WOS:000594080900090
OA gold
DA 2025-01-10
ER

PT J
AU Vranic, P
   Zhiyanski, M
   Milutinovic, S
AF Vranic, Petar
   Zhiyanski, Miglena
   Milutinovic, Slobodan
TI A conceptual framework for linking urban green lands ecosystem services
   with planning and design tools for amelioration of micro-climate
SO JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES
LA English
DT Article
DE Urban green lands; urban planning and design; ecosystem services;
   indicators; climate change
ID LEAF REFLECTANCE; AIR-QUALITY; FORESTS; CITIES; ULTRAVIOLET; TREES; AREA
AB Urban plannings and design processes, through land management, are important factors that significantly influence the distribution of urban green lands (UGLs), and thus, the provision of ecosystem services (ESs), thereby providing opportunities for managing climate adaptation processes at the local level. However, planning for UGLs is often secondary to other planning categories, and they often remain underutilized. Through an analysis of Master Plans of major urban centres in Serbia and Bulgaria, this paper discusses the conceptualization of UGLs and the integration of ESs in planning and design processes. Based on findings obtained through an Analytical Hierarchy Process, this paper develops a conceptual framework for linking ESs with different UGL types in the course of urban planning, in order to achieve a better application of UGLs in strategies for the amelioration of micro-climatic conditions in urban areas. This paper proposes framework for an ecosystem sensitive conceptualization of UGLs in planning and design process, where UGL typology should replace functional categories, and spatial indicators are defined in relation to UGL types. Such an approach can improve the understanding and ES-sensitive application of UGLs in planning processes and local adaptation strategies.
C1 [Vranic, Petar; Milutinovic, Slobodan] Univ Nisu, Fac Occupat Safety, Environm Protect Dept, Fak Zastite Radu, Nish, Serbia.
   [Zhiyanski, Miglena] Forest Res Inst, Forest Ecol Dept, Sofia, Bulgaria.
C3 Bulgarian Academy of Sciences; Forest Research Institute, Bulgaria
RP Vranic, P (corresponding author), Univ Nisu, Fac Occupat Safety, Environm Protect Dept, Fak Zastite Radu, Nish, Serbia.
EM petarvvv@gmail.com
RI Zhiyanski, Miglena/O-6671-2017; Vranić, Petar/JDC-9525-2023;
   Milutinovic, Slobodan/JEZ-4553-2023
OI Vranic, Petar/0000-0002-9671-992X; Milutinovic,
   Slobodan/0000-0002-4384-3687
CR Alberti Marina., 2008, ADV URBAN ECOLOGY IN, DOI [10.1007/978-0-387-75510-6, DOI 10.1007/978-0-387-75510-6]
   [Anonymous], 2012, URBAN ADAPTATION CLI, DOI DOI 10.2800/41895
   [Anonymous], 2010, CITIES CLIMATE CHANG, DOI [10.1182/blood-2010-12-326355, DOI 10.1182/BLOOD-2010-12-326355]
   [Anonymous], 2011, GREEN INFRASTRUCTURE
   [Anonymous], 2013, MITIGATING CLIMATE C
   [Anonymous], ENV SCI
   [Anonymous], 2008, OECD Environmental Outlook to 2030
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Beermann J, 2016, J INTEGR ENVIRON SCI, V13, P55, DOI 10.1080/1943815X.2015.1130723
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Couldrey M., 2008, Forced Migration Review
   Davies C, 2006, TECHNICAL REPORT, DOI 10.13140/RG.2.1.1191.3688
   Dimitrova V., 2011, Journal of Balkan Ecology, V14, P187
   [EEA] European Environmental Agency, 2011, 10 MESS 2010
   [EEA] European Environmental Agency, 2016, 2016095 EEA
   [EUC] EU Commission, 2014, 2014080 EUC, DOI [10.2779/75203, DOI 10.2779/75203]
   European Commission, 2009, White paper Adapting to climate change: towards a European framework for action
   Evans Bob., 2005, GOVERNING SUSTAINABL, DOI DOI 10.1080/14693062.2011.582389
   Forest Research, 2010, REP FOR RES
   Fusaro L, 2015, URBAN FOR URBAN GREE, V14, P1147, DOI 10.1016/j.ufug.2015.10.013
   Gardiner MM, 2009, ECOL APPL, V19, P143, DOI 10.1890/07-1265.1
   Geneletti D., 2004, International Journal of Applied Earth Observation and Geoinformation, V5, P1, DOI [10.1016/j.jag.2003.08.004, DOI 10.1016/J.JAG.2003.08.004]
   Givoni B, 2003, ENERG BUILDINGS, V35, P77, DOI 10.1016/S0378-7788(02)00082-8
   Grant RH, 2003, AGR FOREST METEOROL, V120, P127, DOI 10.1016/j.agrformet.2003.08.025
   Grimm NB, 2008, FRONT ECOL ENVIRON, V6, P264, DOI 10.1890/070147
   Gupta J., 2007, Journal of Integrative Environmental Sciences, V4, P139, DOI DOI 10.1080/15693430701742677
   Gupta J., 2007, Environmental Sciences, V4, P171
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   Heidt V, 2008, SPRINGER SER ENV MAN, P84, DOI 10.1007/978-0-387-71425-7_6
   Holmes MG, 2002, PLANT CELL ENVIRON, V25, P85, DOI 10.1046/j.1365-3040.2002.00779.x
   Holt AR, 2015, ECOSYST SERV, V16, P33, DOI 10.1016/j.ecoser.2015.08.007
   International Energy Agency, 2020, WORLD EN OUTL
   Krueger R, 2005, GEOFORUM, V36, P410, DOI 10.1016/j.geoforum.2004.07.005
   Kumar NV, 1996, FUZZY SET SYST, V82, P1, DOI 10.1016/0165-0114(95)00227-8
   Lafortezza R, 2008, J ENVIRON MANAGE, V89, P257, DOI 10.1016/j.jenvman.2007.01.063
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Lin BS, 2010, HORTSCIENCE, V45, P83, DOI 10.21273/HORTSCI.45.1.83
   Linstroth T., 2007, Local action: The new paradigm in climate change policy
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Macleod CJA, 2011, GRASSLAND PRODUCTIVITY AND ECOSYSTEM SERVICES, P229, DOI 10.1079/9781845938093.0229
   Manes F, 2016, ECOL INDIC, V67, P425, DOI 10.1016/j.ecolind.2016.03.009
   Metz B, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, pVII
   Meyer J., 1997, ZUKUNFTSFAEHIGE STAD
   Milutinovic S, 2013, 3 INT C EC URB AR KA
   Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009
   Novak JM, 2010, GEODERMA, V154, P281, DOI 10.1016/j.geoderma.2009.10.014
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI 10.1016/j.ufug.2006.01.007
   Rall EL, 2015, ECOSYST SERV, V16, P230, DOI 10.1016/j.ecoser.2015.10.005
   Regan HM, 2006, J ENVIRON MANAGE, V80, P167, DOI 10.1016/j.jenvman.2005.09.004
   Rey JM, 1999, ECOL MODEL, V123, P141, DOI 10.1016/S0304-3800(99)00129-5
   Ridgwell A, 2009, CURR BIOL, V19, P146, DOI 10.1016/j.cub.2008.12.025
   Ruth M., 2006, SMART GROWTH CLIMATE
   Saaty T.L., 1994, DECISION MAKING EC P
   Saaty T.L., 1980, The Analytic Hierarchy Process, DOI [DOI 10.21236/ADA214804, 10.1201/9780429504419-2, DOI 10.1201/9780429504419-2]
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Schmitt-Harsh M, 2013, URBAN FOR URBAN GREE, V12, P454, DOI 10.1016/j.ufug.2013.07.007
   Slaton MR, 2001, AM J BOT, V88, P278, DOI 10.2307/2657019
   Spronken-Smith RA, 1998, INT J REMOTE SENS, V19, P2085, DOI 10.1080/014311698214884
   Stocker, 2014, CLIMATE CHANGE 2013
   Vesterdal L, 2013, FOREST ECOL MANAG, V309, P4, DOI 10.1016/j.foreco.2013.01.017
   Yang Jun, 2005, Urban Forestry & Urban Greening, V3, P65, DOI 10.1016/j.ufug.2004.09.001
   Zhang Z, 2013, URBAN FOR URBAN GREE, V12, P323, DOI 10.1016/j.ufug.2013.03.010
   Zhiyanski M, 2011, SOIL SCI AGROCHEM EC, V46, P121
   Zhiyanski M, 2013, 3 INT C EC URB AR 20
NR 64
TC 1
Z9 2
U1 0
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1943-815X
EI 1943-8168
J9 J INTEGR ENVIRON SCI
JI J. Integr. Environ. Sci.
PD JUN-DEC
PY 2016
VL 13
IS 2-4
BP 129
EP 143
DI 10.1080/1943815X.2016.1201516
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EA4ST
UT WOS:000386605700003
OA gold
DA 2025-01-10
ER

PT J
AU Kruse, S
   Seidl, I
AF Kruse, Sylvia
   Seidl, Irmi
TI Drought in the Fruit Production - Survey of Farmers in the North-Eastern
   and North-Western Switzerland
SO AGRARFORSCHUNG SCHWEIZ
LA German
DT Article
DE early recognition; drought; fruit-growing; Switzerland; climate
   adaptation
ID CLIMATIC-CHANGE; AGRICULTURE
AB Drought in fruit-growing. Survey among farmers in Northeast and Northwest Switzerland According to current climate scenarios, drought could become a major challenge for agriculture in Switzerland. To better understand the practitioner's perspective, we surveyed fruit-growers in Northeast and Northwest Switzerland to investigate the previous impact of drought and the countermeasures taken, as well as the information requirements and the willingness to act on the part of farmers in case of more frequent drought events in the future. Our results show that in the last ten years, drought-induced damage has been limited for most farmers. Nevertheless, most respondents believe that in the future they will be affected more often and more intensely by drought. Thus, many are willing to implement countermeasures in the future. A detailed analysis shows that farmers who generate most of their income through fruit-growing are affected by drought differently than farmers for whom fruit-growing is of less commercial relevance. These two groups also differ in their willingness to realize countermeasures and in their information needs. We conclude that adaptation, professional training, and consultation are necessary and must adequately consider these differences.
C1 [Kruse, Sylvia; Seidl, Irmi] Eidgenoss Forsch Sanstalt Wald Schnee & Landschaf, CH-8903 Birmensdorf, Switzerland.
RP Kruse, S (corresponding author), Eidgenoss Forsch Sanstalt Wald Schnee & Landschaf, CH-8903 Birmensdorf, Switzerland.
EM sylvia.kruse@wsl.ch
RI Kruse, Sylvia/E-7096-2014; Seidl, Irmi/B-8686-2018
OI Seidl, Irmi/0000-0002-7740-7875
CR [Anonymous], CLIM CHANG IMP AD EU
   [Anonymous], 2014, QUANT SCEN CLIM CHAN
   Beniston M, 2005, PURE APPL GEOPHYS, V162, P1587, DOI 10.1007/s00024-005-2684-9
   Bravin E., 2011, SCHWERZER KERNOBSTPR
   Bravin E., 2008, YB SOCIOECONOMICS AG, V2008, P133
   Calanca P, 2006, CLIMATIC CHANGE, V79, P65, DOI 10.1007/s10584-006-9103-9
   CH2011, 2011, SWISS CLIM CHANG SCE
   Felder D, 2012, AGRARFORSCH SCHWEIZ+, V3, P272
   Fuhrer J, 2009, AGRARFORSCHUNG, V16, P396
   Jasper K, 2006, J HYDROL, V327, P550, DOI 10.1016/j.jhydrol.2005.11.061
   Karrer S.L., 2012, SWISS FARMERS PERCEP
   Keller F., 2004, Agrarforschung, V11, P403
   Monney P, 2010, SCHWEIZERISCHE Z OBS, P10
   ProClim, 2005, HITZESOMMER 2003
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Wiedemar M, 2011, AGRARFORSCH SCHWEIZ+, V2, P280
NR 16
TC 1
Z9 1
U1 0
U2 11
PU AGRARFORSCHUNG
PI POSIEUX
PA AGROSCOPE LIEBEFELD-POSIEUX, POSIEUX, CH-1725, SWITZERLAND
SN 1663-7852
EI 1663-7909
J9 AGRARFORSCH SCHWEIZ+
JI Agrarforschung Schweiz
PD FEB
PY 2015
VL 6
IS 2
BP 56
EP 63
PG 8
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CY2KX
UT WOS:000366238600005
DA 2025-01-10
ER

PT J
AU Luo, YJ
   Gao, WX
   Gao, YQ
   Tang, S
   Huang, QY
   Tan, XL
   Chen, J
   Huang, TS
AF Luo, Yongjun
   Gao, Wenxiang
   Gao, Yuqi
   Tang, Sha
   Huang, Qingyuan
   Tan, Xiaoling
   Chen, Jian
   Huang, Taosheng
TI Mitochondrial genome analysis of <i>Ochotona curzoniae</i> and
   implication of cytochrome <i>c</i> oxidase in hypoxic adaptation
SO MITOCHONDRION
LA English
DT Article
DE Mitochondrial genome; Ochotona curzoniae; Cytochrome c oxidase; Hypoxic
   adaptation
ID DEGENERATIVE DISEASES; CLIMATIC ADAPTATION; NATURAL-SELECTION; OXIDATIVE
   STRESS; MTDNA VARIATION; PIKA; PHYLOGENY; PLATEAU; YEAST
AB Pikas originated in Asia and are small lagomorphs native to cold climates. The plateau pika, Ochotona cur zoniae is a keystone species on the Qinghai-Tibet Plateau and an ideal animal model for hypoxic adaptation studies. Altered mitochondrial function, especially cytochrome c oxidase activity, is an important factor in modulation of energy generation and expenditure during cold and hypoxia adaptation. In this study, we determined the complete nucleotide sequence of the O. curzoniae mitochondrial genome. The plateau pika mitochondrial DNA is 17,131 bp long and encodes the complete set of 37 proteins typical for vertebrates. Phylogenetic analysis based on concatenated heavy-strand encoded protein-coding genes revealed that pikas are closer to rabbit and hare than to rat. This suggests that rabbit or hare would be a good control animal for pikas in cold and hypoxia adaptation studies. Fifteen novel mitochondrial DNA-encoded amino acid changes were identified in the pikas, including three in the subunits of cytochrome c oxidase. These amino acid substitutions potentially function in modulation of mitochondrial complexes and electron transport efficiency during cold and hypoxia adaptation. (c) 2008 Elsevier B.V. and Mitochondria Research Society. All rights reserved.
C1 [Luo, Yongjun; Gao, Wenxiang; Gao, Yuqi; Huang, Qingyuan; Tan, Xiaoling; Chen, Jian] Third Mil Med Univ, Coll High Altitude Med, Dept Pathphysiol & High Altitude Physiol, Chongqing 400038, Peoples R China.
   [Tang, Sha; Huang, Taosheng] Univ Calif Irvine, Dept Pediat, Div Genet & Metab, Irvine, CA 92697 USA.
   [Huang, Taosheng] Univ Calif Irvine, Dept Dev & Cell Biol, Irvine, CA 92697 USA.
   [Huang, Taosheng] Univ Calif Irvine, Ctr Mol & Mitochondrial Med & Genet, Irvine, CA 92697 USA.
   [Huang, Taosheng] Univ Calif Irvine, Dept Pathol, Irvine, CA 92697 USA.
C3 Army Medical University; University of California System; University of
   California Irvine; University of California System; University of
   California Irvine; University of California System; University of
   California Irvine; University of California System; University of
   California Irvine
RP Gao, YQ (corresponding author), Third Mil Med Univ, Coll High Altitude Med, Dept Pathphysiol & High Altitude Physiol, Chongqing 400038, Peoples R China.
EM gaoy66@yahoo.com; huangts@uci.edu
RI tan, xiao/GZL-0264-2022
OI Huang, Taosheng/0000-0001-6601-6687; chen, jian/0000-0003-0258-9878
FU 973 Project of China [2006CB504101]; National Natural Science Foundation
   of China [30393131, 30300123, 30572087]; NIH Clinical Associate
   Physician Award; Howard Hughes Biomedical Science Program; LICI junior
   Physician Scientists Award; NCH R03; Susan Komen Breast Cancer
   Foundation; Helen & Larry Hoag Foundation
FX This research was supported by the 973 Project of China (No.
   2006CB504101) and the National Natural Science Foundation of China (No.
   30393131, 30300123, 30572087). We thank Drs. Vincent Procaccio and
   Douglas C. Wallace for their stimulating discussions and Dr. Wallace for
   critically reading this manuscript. T.H. is partially support by an NIH
   Clinical Associate Physician Award, the Howard Hughes Biomedical Science
   Program, and the LICI junior Physician Scientists Award. T.H. is also
   partially supported by an NCH R03, the Susan Komen Breast Cancer
   Foundation, and the Helen & Larry Hoag Foundation.
CR Arnason U, 2002, P NATL ACAD SCI USA, V99, P8151, DOI 10.1073/pnas.102164299
   Boore JL, 1999, NUCLEIC ACIDS RES, V27, P1767, DOI 10.1093/nar/27.8.1767
   Brunelle JK, 2005, CELL METAB, V1, P409, DOI 10.1016/j.cmet.2005.05.002
   Castello PR, 2006, CELL METAB, V3, P277, DOI 10.1016/j.cmet.2006.02.011
   Chandel NS, 1998, P NATL ACAD SCI USA, V95, P11715, DOI 10.1073/pnas.95.20.11715
   Coskun PE, 2003, P NATL ACAD SCI USA, V100, P2174, DOI 10.1073/pnas.0630589100
   DAWSON MR, 1967, U KANS GEOL SPEC PUB, P287
   Dirmeier R, 2002, J BIOL CHEM, V277, P34773, DOI 10.1074/jbc.M203902200
   Fukuda R, 2007, CELL, V129, P111, DOI 10.1016/j.cell.2007.01.047
   Ge RL, 1998, AM J PHYSIOL-HEART C, V274, pH1792, DOI 10.1152/ajpheart.1998.274.5.H1792
   HOCHACHKA PW, 1986, SCIENCE, V231, P234, DOI 10.1126/science.2417316
   Kwast KE, 1999, P NATL ACAD SCI USA, V96, P5446, DOI 10.1073/pnas.96.10.5446
   Li QF, 2001, COMP BIOCHEM PHYS A, V129, P949, DOI 10.1016/S1095-6433(01)00357-9
   Lin YH, 2002, GENE, V294, P119, DOI 10.1016/S0378-1119(02)00695-9
   Magalhaes J, 2005, J APPL PHYSIOL, V99, P1247, DOI 10.1152/japplphysiol.01324.2004
   Mansfield KD, 2005, CELL METAB, V1, P393, DOI 10.1016/j.cmet.2005.05.003
   MEAD JI, 1987, BOREAS, V16, P165
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Nijtmans LGJ, 1998, EUR J BIOCHEM, V254, P389, DOI 10.1046/j.1432-1327.1998.2540389.x
   Nikaido M, 2001, J MOL EVOL, V53, P508, DOI 10.1007/s002390010241
   Niu YD, 2004, FOLIA ZOOL, V53, P141
   Poyton RO, 1999, RESP PHYSIOL, V115, P119, DOI 10.1016/S0034-5687(99)00028-6
   Sheafor BA, 2003, J EXP BIOL, V206, P1241, DOI 10.1242/jeb.00226
   Smith AT, 1999, ANIM CONSERV, V2, P235, DOI 10.1111/j.1469-1795.1999.tb00069.x
   Tomizaki T, 1999, ACTA CRYSTALLOGR D, V55, P31, DOI 10.1107/S0907444998006362
   Tsukihara T, 1996, SCIENCE, V272, P1136, DOI 10.1126/science.272.5265.1136
   Wallace DC, 2005, ANNU REV GENET, V39, P359, DOI 10.1146/annurev.genet.39.110304.095751
   Wallace DC, 2003, COLD SPRING HARB SYM, V68, P479
   Yang J, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001472
   Zhao TB, 2004, BIOCHEM BIOPH RES CO, V316, P565, DOI 10.1016/j.bbrc.2004.02.087
NR 30
TC 109
Z9 132
U1 1
U2 60
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1567-7249
EI 1872-8278
J9 MITOCHONDRION
JI Mitochondrion
PD DEC
PY 2008
VL 8
IS 5-6
BP 352
EP 357
DI 10.1016/j.mito.2008.07.005
PG 6
WC Cell Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Cell Biology; Genetics & Heredity
GA 373OH
UT WOS:000260980900002
PM 18722554
DA 2025-01-10
ER

PT J
AU Luo, CL
   Duan, HX
   Wang, YL
   Liu, HJ
   Xu, SX
AF Luo, Chong Liang
   Duan, Hai Xia
   Wang, Ya Lin
   Liu, Hong Jin
   Xu, Shi Xiao
TI Complementarity and competitive trade-offs enhance forage productivity,
   nutritive balance, land and water use, and economics in legume-grass
   intercropping
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Legume-grass intercropping; Complementarity effect; Interspecific
   competition; Productivity and efficiency; Nutritive balance
ID NITROGEN-FIXATION; USE EFFICIENCIES; YIELD; INCREASE; TECHNOLOGIES;
   STABILITY; SELECTION; IMPACTS; DENSITY; TREES
AB Legume-grass intercropping is proposed as a globally sustainable approach to enhance forage crop productivity and quality while supporting agropastoral ecosystem functioning. However, the mechanism involved in interspecific complementarity and competition driven forage productivity, quality, resource utilization, and economic benefits across different proportions of intercrops remains unclear, particularly under interannual climate variability. To address this, a 3-year field experiment was conducted in the agropastoral area of the Qinghai-Tibet Plateau (QTP) to assess the effects of different legume proportions (five legume-grass intercropping and their respective monocultures) and growing seasons on the productive, biological and economic viability. The results showed that legume proportions of 40 % and 50% achieved the highest forage yield, system productivity (SP), water use efficiency (WUE), land equivalent ratio (LER), net profit (NP), return on investment (ROI), biodiversity effect (NE), and complementarity effect (CE) compared to other intercropping and monocultures (P < 0.05). As the legume proportion increased, yield stability, selection effect, crude protein (CP) and ash contents, grass aggressivity and competitive ratio significantly increased (P < 0.05), while ether extract (EE), crude fiber (CF), nitrogen-free extract (NFE), gross energy (GE), legume aggressivity and competitive ratio significantly decreased (P < 0.05). Additionally, the lowest forage yield, SP, NP, ROI, CP, EE, NFE, GE, and the highest WUE, LER, NE, CE, CF and ash contents were observed during the dry season (P < 0.05). Overall, our results suggested that the optimal legume proportions of 40-50 % increased forage productivity, land and water use efficiency, and economic benefits in intercropping system by improving complementarity and competitive trade-offs, which helps the intercropping systems better adapt to climatic droughts in the semiarid regions of the QTP.
C1 [Luo, Chong Liang; Wang, Ya Lin; Liu, Hong Jin; Xu, Shi Xiao] Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Inst Sanjiangyuan Natl Pk, Xining 810001, Peoples R China.
   [Duan, Hai Xia] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Peoples R China.
   [Luo, Chong Liang; Wang, Ya Lin; Liu, Hong Jin; Xu, Shi Xiao] Sanjiangyuan Grassland Ecosyst Natl Observat & Res, Xining, Peoples R China.
C3 Chinese Academy of Sciences; Qinghai University
RP Xu, SX (corresponding author), Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Inst Sanjiangyuan Natl Pk, Xining 810001, Peoples R China.
EM sxxu@nwipb.cas.cn
RI Duan, Hai-Xia/ACF-8164-2022; Wang, Yalin/IQS-7740-2023; Luo,
   Chong-Liang/JED-7437-2023; Liu, Hongjin/GRE-8828-2022
OI Luo, Chong-Liang/0009-0004-9483-6198
FU Fundamental Research Project of Qinghai Province [2022-ZJ-970Q];
   National Key Research and Development Program of China [2021YFD1600205];
   National Natural Science Foundation of China [32360328]
FX This study was financially supported by the Fundamental Research Project
   of Qinghai Province (2022-ZJ-970Q), National Key Research and
   Development Program of China (2021YFD1600205), and National Natural
   Science Foundation of China (32360328).
CR Agegnehu G, 2008, AGRON SUSTAIN DEV, V28, P257, DOI 10.1051/agro:2008012
   Bai W, 2016, AGR WATER MANAGE, V178, P281, DOI 10.1016/j.agwat.2016.10.007
   Bedoussac L, 2015, AGRON SUSTAIN DEV, V35, P911, DOI 10.1007/s13593-014-0277-7
   Bi YX, 2019, FIELD CROP RES, V244, DOI 10.1016/j.fcr.2019.107636
   Bork EW, 2017, AGRON J, V109, P2789, DOI 10.2134/agronj2017.02.0069
   Buxton DR, 1996, ANIM FEED SCI TECH, V59, P37, DOI 10.1016/0377-8401(95)00885-3
   Capstaff NM, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00535
   Cardinale BJ, 2007, P NATL ACAD SCI USA, V104, P18123, DOI 10.1073/pnas.0709069104
   Chimonyo VGP, 2019, CROP SCI, V59, P1222, DOI 10.2135/cropsci2018.09.0532
   Chowdhury MR, 2023, J DAIRY SCI, V106, P1773, DOI 10.3168/jds.2022-22607
   Croitoru AE, 2013, THEOR APPL CLIMATOL, V112, P597, DOI 10.1007/s00704-012-0755-2
   Ditzler L, 2021, AGRON SUSTAIN DEV, V41, DOI 10.1007/s13593-021-00678-z
   Dubis B, 2020, RENEW ENERG, V154, P813, DOI 10.1016/j.renene.2020.03.059
   Elhakeem A, 2019, AGR ECOSYST ENVIRON, V285, DOI 10.1016/j.agee.2019.106627
   Gitari HI, 2020, FIELD CROP RES, V258, DOI 10.1016/j.fcr.2020.107957
   Glaze-Corcoran S, 2020, ADV AGRON, V162, P199, DOI 10.1016/bs.agron.2020.02.004
   Gong XW, 2021, AGR WATER MANAGE, V243, DOI [10.1016/j.agwat.2020.106434, 10.1016/J.agwat.2020.106434]
   Gong XW, 2020, EUR J AGRON, V115, DOI 10.1016/j.eja.2020.126034
   Hassen A, 2017, REG ENVIRON CHANGE, V17, P1713, DOI 10.1007/s10113-017-1131-7
   Homulle Z, 2022, PLANT SOIL, V471, P1, DOI 10.1007/s11104-021-05165-8
   Iannetta PPM, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01700
   Javanmard A, 2020, CLEAN ENG TECHNOL, V1, DOI 10.1016/j.clet.2020.100003
   Kim KH, 2017, SCI TOTAL ENVIRON, V575, P525, DOI 10.1016/j.scitotenv.2016.09.009
   Kou HT, 2024, AGR WATER MANAGE, V297, DOI 10.1016/j.agwat.2024.108817
   Lesuffleur F, 2013, PLANT SOIL, V369, P187, DOI 10.1007/s11104-012-1562-3
   Liang JP, 2020, AGR WATER MANAGE, V240, DOI 10.1016/j.agwat.2020.106277
   Lithourgidis AS, 2011, EUR J AGRON, V34, P287, DOI 10.1016/j.eja.2011.02.007
   Liu H, 2023, FIELD CROP RES, V304, DOI 10.1016/j.fcr.2023.109174
   Liu YJ, 2018, BMC PLANT BIOL, V18, DOI [10.1186/s12889-018-5629-9, 10.1186/s12870-017-1221-1, 10.1186/s12870-017-1226-9]
   Loreau M, 2001, NATURE, V412, P72, DOI 10.1038/35083573
   Louarn G, 2020, ANN BOT-LONDON, V126, P671, DOI 10.1093/aob/mcaa014
   Luo CL, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139808
   Luo F, 2024, FRONT PLANT SCI, V15, DOI 10.3389/fpls.2024.1375166
   Luo F, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1280771
   Madembo C, 2020, AGR SYST, V185, DOI 10.1016/j.agsy.2020.102921
   Mahmoud R, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00754-y
   Martin G, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00620-9
   MEAD R, 1980, EXP AGR, V16, P217, DOI 10.1017/S0014479700010978
   Munroe JW, 2014, AGRON SUSTAIN DEV, V34, P417, DOI 10.1007/s13593-013-0190-5
   NELSON DW, 1980, J ASSOC OFF ANA CHEM, V63, P770
   Osman H.E., 2023, J UMM AL QURA U APPL, V9, P77, DOI [10.1007/s43994-022-00022-5, DOI 10.1007/S43994-022-00022-5]
   Pankou C, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11020283
   Perotti E, 2021, EUR J AGRON, V122, DOI 10.1016/j.eja.2020.126194
   Pimratch S, 2013, INT J PLANT PROD, V7, P225
   Polley HW, 2003, ECOL LETT, V6, P248, DOI 10.1046/j.1461-0248.2003.00422.x
   Rad RD, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04813-z
   Raza MA, 2021, J CLEAN PROD, V308, DOI 10.1016/j.jclepro.2021.127282
   Reckling M, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0541-3
   Reckling M, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00669
   Ren YY, 2016, EUR J AGRON, V72, P70, DOI 10.1016/j.eja.2015.10.001
   Sebilo M, 2013, P NATL ACAD SCI USA, V110, P18185, DOI 10.1073/pnas.1305372110
   Shennan C, 2008, PHILOS T R SOC B, V363, P717, DOI 10.1098/rstb.2007.2180
   Tremblay GF, 2023, AGRON J, V115, P1842, DOI 10.1002/agj2.21386
   Tsialtas IT, 2018, FIELD CROP RES, V226, P28, DOI 10.1016/j.fcr.2018.07.005
   Umesh MR, 2023, FIELD CROP RES, V290, DOI 10.1016/j.fcr.2022.108755
   Van der Werf W, 2021, FRONT AGRIC SCI ENG, V8, P481, DOI 10.15302/J-FASE-2021413
   Wang Jin-Lan, 2024, Acta Prataculturae Sinica, V33, P83
   Wang MJ, 2024, AGR WATER MANAGE, V298, DOI 10.1016/j.agwat.2024.108876
   Wang T.Y., 2023, Feed Res., V46, P135, DOI [10.13557/j.cnki.issn1002-2813.2023.23.025, DOI 10.13557/J.CNKI.ISSN1002-2813.2023.23.025]
   Wang ZK, 2020, EUR J AGRON, V115, DOI 10.1016/j.eja.2020.126042
   Wang ZK, 2015, EUR J AGRON, V71, P149, DOI 10.1016/j.eja.2015.09.007
   Weindl I, 2020, GLOB FOOD SECUR-AGR, V25, DOI 10.1016/j.gfs.2020.100367
   WILLEY RW, 1990, AGR WATER MANAGE, V17, P215, DOI 10.1016/0378-3774(90)90069-B
   Wilson RL, 2020, J ANIM SCI, V98, DOI 10.1093/jas/skaa220
   Xi NX, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn3368
   Zander P, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0365-y
   Zebeli Q, 2011, J DAIRY SCI, V94, P2374, DOI 10.3168/jds.2010-3860
   Zhang WP, 2021, J APPL ECOL, V58, P2603, DOI 10.1111/1365-2664.13989
NR 68
TC 0
Z9 0
U1 21
U2 21
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-4290
EI 1872-6852
J9 FIELD CROP RES
JI Field Crop. Res.
PD DEC 2
PY 2024
VL 319
AR 109642
DI 10.1016/j.fcr.2024.109642
EA NOV 2024
PG 12
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA M3L7N
UT WOS:001356596500001
DA 2025-01-10
ER

PT J
AU Teshome, M
AF Teshome, Martha
TI The human health burden of climate change: Non-economic losses and
   ethical considerations towards achieving planetary health
SO JOURNAL OF CLIMATE CHANGE AND HEALTH
LA English
DT Article
DE Climate change; Climate adaptation; Climate mitigation; Non-economic
   losses; Loss and damage; Planetary health; Human health; Health equity;
   Climate justice; Ethics; Developing countries
ID DISASTERS
AB Climate change presents an urgent and growing threat to the health and well-being of people and the planet. More frequent and intense heatwaves, droughts and floods are breaching critical ecosystem boundaries, causing cascading impacts that are increasingly complex to govern. Unsustainable development pathways and economic choices that are fueling the climate crisis are also directly engendering global health issues. Furthermore, the global response to climate change has been uneven and the lack of a conceptual framework for loss and damage has allowed developed countries the latitude to adopt differing takes on its framing, undermining the urgency and progression of the loss and damage mechanism to the detriment of developing countries. Current research on the governance of climate ethics posits that while economic and legal considerations largely influence climate policies, decision-making processes in climate adjacent sectors such as health need to be further grounded on ethically sound principles. Framing the health impacts of climate change as a moral issue can therefore be viewed as an effort to reshape the current political discourse with a humanistic lens and move the international community and state-level actors to action. The framing of this issue is particularly important as it recenters the focus on human health as an imperative for effective climate policies rather than as a contributor to the cache of peripheral co-benefits. It also underscores climate change as an ethical issue, in which failure to respond to the climate impacts can worsen health inequities, especially for socially and economically marginalized communities and vulnerable groups. (c) 2024 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC- ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
EM martha.teshome.research@gmail.com
OI Teshome, Martha/0000-0002-1790-0422
CR [Anonymous], 2017, LANCET PLANET HEALTH, V1, pE1, DOI 10.1016/S2542-5196(17)30013-X
   [Anonymous], 2019, Health Emergency and Disaster Risk Management Framework, Health Emergency and Disaster Risk Management Fact Sheets
   [Anonymous], 2017, Declaration of Ethical Principles in relation to Climate Change
   [Anonymous], 2022, P SHARM EL SHEIKH CL, P7
   [Anonymous], Warsaw International Mechanism for Loss and Damage n
   [Anonymous], 2020, Human cost of disasters: An onverview of the last 20 years 2000-2019, DOI DOI 10.18356/79B92774-EN
   [Anonymous], Sendai Framework Terminology on Disaster Risk Reduction
   August S., 2023, Intersectionality
   Bell James., 2021, Response to Climate Change, Citizens in Advanced Economies Are Willing To Alter How They Live and Work
   Calliari E, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102133
   Campbell-Lendrum D, 2023, NAT MED, V29, P1631, DOI 10.1038/s41591-023-02438-w
   Chandra A, 2023, CLIMATE, V11, DOI 10.3390/cli11030074
   Crenshaw Kimberle, 1989, University of Chicago Legal Forum, P139, DOI DOI 10.4324/9780429500480-5
   Fawzy S, 2020, ENVIRON CHEM LETT, V18, P2069, DOI 10.1007/s10311-020-01059-w
   Gaur A., 2022, ADV ORGANIC WASTE MA, P365, DOI [10.1016/B978-0-323-85792-5.00008-3, DOI 10.1016/B978-0-323-85792-5.00008-3]
   Goodman A, 2019, The Diplomatic Record 1992-1993, P189, DOI [10.4324/9780429310089-10, DOI 10.4324/9780429310089-10]
   Haines A, 2022, LANCET, V400, P477, DOI 10.1016/S0140-6736(22)01192-8
   Hartinger SM, 2023, LANCET REG HEALTH-AM, V20, DOI 10.1016/j.lana.2023.100470
   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]
   IPCC, 2022, CLIM CHANG THREAT HU
   Jensen L., 2022, Understanding loss and damage: addressing the unavoidable impacts of climate change
   KfW, 2023, Home - Global Shield Solutions Platform
   Littler K, 2023, BMJ-BRIT MED J, V381, DOI 10.1136/bmj.p1368
   Mogwitz J, 2022, LANCET PLANET HEALTH, V6, pE849, DOI 10.1016/S2542-5196(22)00251-0
   Mukhopadhyay A, 2023, Global Shield Solutions Platform launched to address loss and damage from climate change
   NAP Global Network, 2024, NAP Trends: sector Integration
   Neria Y, 2008, PSYCHOL MED, V38, P467, DOI 10.1017/S0033291707001353
   OHCHR, 2023, Human rights and loss and damage: key messages
   Raker EJ, 2020, HEALTH AFFAIR, V39, P2128, DOI 10.1377/hlthaff.2020.01161
   Rossa-Roccor V, 2021, LANCET PLANET HEALTH, V5, pE553, DOI 10.1016/S2542-5196(21)00113-3
   Salomon JA, 2014, Encyclopedia of health economics, P200, DOI DOI 10.1016/B978-0-12-375678-7.00511-3
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Scottish Government, 2023, Practical action for addressing loss and damage
   Sheather Julian, 2023, Wellcome Open Res, V8, P343, DOI 10.12688/wellcomeopenres.19490.1
   Singh JA, 2012, PLOS MED, V9, DOI 10.1371/journal.pmed.1001229
   Teshome M, 2023, J PREV, V44, P603, DOI 10.1007/s10935-023-00740-4
   UNDRR, 2022, delivery date for next generation disaster losses tracking system
   UNDRR UNDP WMO, 2022, Tracking of hazardous events and disaster losses and damages
   UNEP, 2022, What you need to know about the COP27 Loss and Damage Fund
   UNFCCC, Non-economic losses
   UNFCCC, 2023, Views on the elements for the consideration of outputs component of the first global stocktake: synthesis report by the secretariat
   UNFCCC, 2013, Technical Paper FCCC/TP/2013/2
   UNFCCC, 2023, Co-chairs' proposal: operationalization of the new funding arrangements, including a fund, for responding to loss and damage referred to in paragraph 2 and paragraph 3 of decisions 2/CP.27 and 2/CMA.4
   UNFCCC, 2022, Mobilizing more financial support for developing countries. Key take- aways from COP27
   van Woerden WF, 2023, GLOBALIZATION HEALTH, V19, DOI 10.1186/s12992-023-00957-2
   Whitmee S, 2015, LANCET, V386, P1973, DOI 10.1016/S0140-6736(15)60901-1
   WHO, 2023, Report No.: 9240074724
   Willetts E., 2022, WHO policy brief: loss and damage
   Willetts E, 2022, Review of IPCC evidence 2022: climate change, health, and well-being
   World Health Organization, 2021, Quality criteria for Health National Adaptation Plans
NR 50
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2667-2782
J9 J CLIM CHANGE HEALTH
JI J. Clim. Chang. Health
PD SEP-OCT
PY 2024
VL 19
AR 100336
DI 10.1016/j.joclim.2024.100336
EA AUG 2024
PG 6
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA C7H2X
UT WOS:001291037700001
OA gold
DA 2025-01-10
ER

PT J
AU Xu, ZX
   Huang, X
   Zheng, X
   Deng, JY
   Sun, B
AF Xu, Zhixin
   Huang, Xia
   Zheng, Xin
   Deng, Ji-Yu
   Sun, Bo
TI A Performance and Data-Driven Method for Optimization of Traditional
   Courtyards
SO SUSTAINABILITY
LA English
DT Article
DE traditional courtyards; multi-objective optimization; building
   performance simulation; machine learning
ID THERMAL COMFORT; CHINA; URBANIZATION; TEMPERATURE; POTENTIALS;
   SIMULATION; BUILDINGS; AREAS
AB As urbanization and rapid industrialization accelerate, rural areas face increasing pressure on resources and the environment, leading to challenges such as energy waste and reduced comfort. Traditional village planning and design methods are based on economic benefits and often lack consideration of climate adaptability. To address these issues, a comprehensive assessment of building and courtyard performance should be introduced early in the planning of traditional villages. This approach can better adapt the buildings to their climatic conditions. Introducing relevant performance indicators, such as outdoor comfort, indoor lighting, and building energy consumption, at the initial design stage is crucial. This article employs performance-based multi-objective optimization algorithms and machine learning techniques to investigate the design workflow of courtyards and their combinations. The goal is to enhance planners' design efficiency in village planning by integrating data-driven and performance-driven methods. The research results show that during the performance-driven phase, by adjusting the spatial morphology and architectural parameters, the performance of the courtyard significantly improved compared to the baseline model. Energy efficiency increased by 32.3%, the physiological equivalent temperature (PET) comfort time ratio in winter was enhanced by 8.3%, and the ratio in summer increased by 3.8%. During the data-driven phase, the classification prediction accuracy of courtyard performance can reach 83%, and the F1 score is 0.81. In the project validation phase, it has also been proven that the performance of different plans can be quickly verified. Compared to the base's original status, the design solutions' performance score can be improved from 59.12 to 85.62. In summary, this workflow improves the efficiency of the interaction between design decisions and performance evaluation in the conceptual stage of village planning, providing a solid foundation for promoting subsequent solutions.
C1 [Xu, Zhixin; Zheng, Xin; Sun, Bo] Southeast Univ, Sch Architecture, Nanjing 210096, Peoples R China.
   [Huang, Xia] Wanjiang Univ Technol, Sch Art & Design, Maanshan 243031, Peoples R China.
   [Deng, Ji-Yu] Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510080, Peoples R China.
C3 Southeast University - China; Guangdong University of Technology
RP Zheng, X (corresponding author), Southeast Univ, Sch Architecture, Nanjing 210096, Peoples R China.
EM 230179341@seu.edu.cn; 15968844446@163.com; 101002357@seu.edu.cn;
   jiyudeng@gmail.com; 230218016@seu.edu.cn
RI sun, bo/JFA-9978-2023; Deng, Ji-Yu/AGX-3180-2022
OI Deng, Ji-Yu/0000-0001-8201-7831
FU Postgraduate Research & Practice Innovation Program of Jiangsu Province
   [KYCX19_0090]
FX This study has been funded by the Postgraduate Research & Practice
   Innovation Program of Jiangsu Province (Grant No. KYCX19_0090).
CR Albadr MA, 2020, SYMMETRY-BASEL, V12, DOI 10.3390/sym12111758
   Andreou E, 2014, RENEW ENERG, V63, P587, DOI 10.1016/j.renene.2013.09.051
   [Anonymous], 2024, Standard for Lighting Design of Buildings
   Bouyer J, 2007, J WIND ENG IND AEROD, V95, P963, DOI 10.1016/j.jweia.2007.01.022
   Cannistraro G, 2015, INT J HEAT TECHNOL, V33, P115, DOI 10.18280/ijht.330116
   Cannistraro M, 2019, THERM SCI ENG PROG, V14, DOI 10.1016/j.tsep.2019.100388
   Cao XD, 2016, ENERG BUILDINGS, V128, P198, DOI 10.1016/j.enbuild.2016.06.089
   Chatzipoulka C, 2018, SOL ENERGY, V170, P1026, DOI 10.1016/j.solener.2018.06.028
   Chen MX, 2013, HABITAT INT, V38, P25, DOI 10.1016/j.habitatint.2012.09.007
   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
   Cheng FY, 2022, ENERGY, V239, DOI 10.1016/j.energy.2021.122146
   Chicco D, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-019-6413-7
   Deng QT, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111515
   Fan JL, 2018, ENERG CONVERS MANAGE, V164, P102, DOI 10.1016/j.enconman.2018.02.087
   Haghighat E, 2021, COMPUT METHOD APPL M, V373, DOI 10.1016/j.cma.2020.113552
   Hashempour N, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101967
   Jannat N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124892
   Jin H, 2015, FRONT ARCHIT RES, V4, P212, DOI 10.1016/j.foar.2015.04.002
   Jovic S, 2016, J THERM BIOL, V62, P106, DOI 10.1016/j.jtherbio.2016.07.005
   Kiss B, 2020, AUTOMAT CONSTR, V111, DOI 10.1016/j.autcon.2019.103044
   Leatherbarrow David., 2009, ARCHITECTURE ORIENTE
   Li D, 2020, APPL THERM ENG, V165, DOI 10.1016/j.applthermaleng.2019.114547
   Li Q, 2021, IEEE ACCESS, V9, P9318, DOI 10.1109/ACCESS.2020.3048956
   Liu ZJ, 2019, SOL ENERGY, V187, P95, DOI 10.1016/j.solener.2019.05.049
   Long HL, 2011, APPL GEOGR, V31, P1094, DOI 10.1016/j.apgeog.2011.02.006
   Lyu YF, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14010152
   Martinelli L, 2017, SUSTAIN CITIES SOC, V29, P97, DOI 10.1016/j.scs.2016.12.004
   Mi JY, 2020, BUILD ENVIRON, V169, DOI 10.1016/j.buildenv.2019.106592
   Mo H, 2019, ENERG BUILDINGS, V205, DOI 10.1016/j.enbuild.2019.109564
   Molake A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15107953
   Nasruddin, 2019, SUSTAIN ENERGY TECHN, V35, P48, DOI 10.1016/j.seta.2019.06.002
   Negroponte N., 1975, Computer Aided Design, V7, P190, DOI 10.1016/0010-4485(75)90009-3
   Pan SW, 2022, J PETROL SCI ENG, V208, DOI 10.1016/j.petrol.2021.109520
   Pata UK, 2021, RENEW ENERG, V173, P197, DOI 10.1016/j.renene.2021.03.125
   Reynolds P, 2004, P I CIVIL ENG-STR B, V157, P385, DOI 10.1680/stbu.2004.157.6.385
   Röck M, 2018, BUILD ENVIRON, V140, P153, DOI 10.1016/j.buildenv.2018.05.006
   Sijgers L, 2023, TRENDS HEAR, V27, DOI 10.1177/23312165231220997
   Sun MH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020667
   Tahmasebi F, 2016, BUILD ENVIRON, V105, P343, DOI 10.1016/j.buildenv.2016.06.013
   Taleghani M, 2014, BUILD ENVIRON, V82, P566, DOI 10.1016/j.buildenv.2014.09.028
   Teshnehdel S, 2020, SUSTAIN ENERGY TECHN, V37, DOI 10.1016/j.seta.2019.100569
   Wang W, 2021, RENEW ENERG, V179, P2016, DOI 10.1016/j.renene.2021.08.024
   Wang WL, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11010202
   Wang WS, 2019, SOL ENERGY, V186, P300, DOI 10.1016/j.solener.2019.05.013
   Wang XR, 2015, HABITAT INT, V47, P279, DOI 10.1016/j.habitatint.2015.02.001
   Xi H, 2024, APPL SCI-BASEL, V14, DOI 10.3390/app14093760
   Xiao TQ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511785
   Xiong Y, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104136
   Yan HA, 2022, BUILD ENVIRON, V218, DOI 10.1016/j.buildenv.2022.109081
   Yang SY, 2023, ENERG CONVERS MANAGE, V283, DOI 10.1016/j.enconman.2023.116902
   Yao XB, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18168644
   Yuan TT, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101501
   Zang HY, 2023, J WATER CLIM CHANGE, V14, P3329, DOI 10.2166/wcc.2023.415
   Zeng ZW, 2017, PROCEDIA ENGINEER, V205, P2011, DOI 10.1016/j.proeng.2017.10.074
   Zhu L, 2020, BUILD ENVIRON, V176, DOI 10.1016/j.buildenv.2020.106841
   Zhu L, 2020, ENVIRON SCI POLLUT R, V27, P16145, DOI 10.1007/s11356-020-08077-9
NR 56
TC 0
Z9 0
U1 17
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2024
VL 16
IS 13
AR 5779
DI 10.3390/su16135779
PG 29
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA YQ7I8
UT WOS:001270010600001
OA gold
DA 2025-01-10
ER

PT J
AU Schneider, P
   Fauk, T
   Mihai, FC
   Junker, H
   Ettmer, B
   Lüderitz, V
AF Schneider, Petra
   Fauk, Tino
   Mihai, Florin-Constantin
   Junker, Harald
   Ettmer, Bernd
   Luederitz, Volker
TI Natural Climate Protection through Peatland Rewetting: A Future for the
   Rathsbruch Peatland in Germany
SO LAND
LA English
DT Article
DE peatland rewetting; climate adaptation; GHG assessment; environmental
   management; design and permitting process
ID RESTORATION
AB Draining peatlands to create agricultural land has been the norm in Europe, but in the context of climate change and the loss of biodiversity, these rich ecosystems may reactivate their functions as greenhouse gas sinks and retreat spaces for animals and plants. Against this background, the National Moor Rewetting Strategy was put into effect in Germany in 2023, together with the Natural Climate Protection Action Plan. This article examines the methodology of peatland rewetting from scientific, administrative, social, and technical perspectives. The article focuses on an example of moor rewetting in central Germany: the Rathsbruch moor near the municipality of Zerbst, Saxony-Anhalt. To illustrate the importance of rewetting projects for degraded peatlands, five scenarios with different target soil water levels were considered, and the associated greenhouse gas emissions were calculated for a period of five years. For the planning solution, an estimate of the medium-to-long-term development of the habitat types was made based on current use and the dynamics typical of the habitat. The results for the Rathsbruch moor area showed that increasing the water level in steps of 1, 0.8, or 0.5 m has no significant influence on reducing the CO2 emissions situation, while a depth of 0.3 m has a slight influence. When the water was raised to 0.1 m below the surface (Scenario 5), a significant CO2 reduction was observed. The calculated avoided CO2 costs due to environmental damage show that the environmental benefits multiply with every decimeter of water level increase. The rising groundwater levels and extensification favor the establishment of local biotopes. This means that two of the biggest man-made problems (extinction of species and climate change) can be reduced. Therefore, this research is applicable to the development and planning of recultivation work at municipal and regional levels in Germany and beyond within the framework of EU restoration policy.
C1 [Schneider, Petra; Fauk, Tino; Ettmer, Bernd; Luederitz, Volker] Magdeburg Stendal Univ Appl Sci, Dept Water Environm Civil Engn & Safety, Breitscheidstr 2, D-39114 Magdeburg, Germany.
   [Mihai, Florin-Constantin] Alexandru Ioan Cuza Univ, Inst Interdisciplinary Res, CERNESIM Environm Res Ctr, Iasi 700506, Romania.
   [Junker, Harald] Untere Nat Schutzbehorde, Landkreis Wittenberg, Breitscheidstr 3, D-06886 Lutherstadt Wittenberg, Germany.
C3 Alexandru Ioan Cuza University
RP Schneider, P (corresponding author), Magdeburg Stendal Univ Appl Sci, Dept Water Environm Civil Engn & Safety, Breitscheidstr 2, D-39114 Magdeburg, Germany.
EM petra.schneider@h2.de; tino.fauk@h2.de; florin.mihai@uaic.ro;
   bernd.ettmer@h2.de
RI MIHAI, Florin/F-2995-2014; Schneider, Petra/H-9792-2019
OI MIHAI, Florin-Constantin/0000-0002-1428-1021; Schneider,
   Petra/0000-0001-7489-9192
CR Ahmad S, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.630469
   Ball J, 2023, INT J REMOTE SENS, V44, P2885, DOI 10.1080/01431161.2023.2209916
   Banerjee A, 2023, ENVIRON PLAN C-POLIT, V41, P1096, DOI 10.1177/23996544231173210
   Bartsch N., 2016, Waldkologie, P43, DOI [10.1007/978-3-662-44268-5, DOI 10.1007/978-3-662-44268-5]
   Beadle JM, 2023, BIOL CONSERV, V283, DOI 10.1016/j.biocon.2023.110116
   Billetoft B., 2002, Naturschutz im Land Sachsen-Anhalt
   Bnger B., 2018, METHODENKONVENTION 3
   Brunotte E., 2002, Lexikon der Geographie
   Bundesministerium fur Umwelt, 2022, Naturschutz, nukleare Sicherheit und Verbraucherschutz Nationale Moorschutzstrategie
   Byg A, 2023, PEOPLE NAT, V5, P302, DOI 10.1002/pan3.10141
   Chen C, 2023, ENVIRON SCI POLICY, V145, P104, DOI 10.1016/j.envsci.2023.04.010
   Chen C, 2023, CLIM POLICY, V23, P238, DOI 10.1080/14693062.2022.2160300
   Dahm J., 2022, German Stakeholders Divided Over EU's New Peatland Targets
   Doelman JC, 2023, ENVIRON RES-CLIM, V2, DOI 10.1088/2752-5295/acd5f4
   Duling U., 2009, Handbuch zu fiBS
   Fatimah YA, 2023, GEOFORUM, V145, DOI 10.1016/j.geoforum.2023.103829
   Fauk T, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1090652
   Gensior A., 2022, Berichterstattung unter der Klimarahmenkonvention der Vereinten Nationen und dem Kyoto-ProtokollNationaler Inventarbericht zum Deutschen Treibhausgasinventar 19902020
   Günther A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15499-z
   Howson T, 2023, ECOL ENG, V195, DOI 10.1016/j.ecoleng.2023.107066
   Jewell J, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.621
   Jger U., 2002, Naturschutz im Land Sachsen-Anhalt
   Jia G., 2019, CLIMATE CHANGE LAND, DOI DOI 10.1017/9781009157988.004
   Koch J, 2023, BIOGEOSCIENCES, V20, P2387, DOI 10.5194/bg-20-2387-2023
   Lin F, 2022, ENVIRON POLLUT, V301, DOI 10.1016/j.envpol.2022.119041
   LPR Landschaftsplanung Dr. Reichhoff GmbH, 2022, Obere Nuthe-Lufe
   Lüderitz V, 2011, ECOL ENG, V37, P2044, DOI 10.1016/j.ecoleng.2011.07.010
   Makrickas E, 2023, J ENVIRON MANAGE, V341, DOI 10.1016/j.jenvman.2023.117952
   Martino S, 2022, LAND USE POLICY, V123, DOI 10.1016/j.landusepol.2022.106401
   Matthey A., 2020, Methodenkonvention 3.0 zur Ermittlung von Umweltkosten
   McConkey B.G., 2019, Report of the Intergovernmental Panel on Climate Change
   Mihai Schneider P., 2021, Handbook of Ecological and Ecosystem Engineering, P95, DOI 10.1002/9781119678595.ch5
   Minasny B, 2024, BIOGEOCHEMISTRY, V167, P383, DOI 10.1007/s10533-023-01084-1
   National Ministry for Environment Nature Protection Nuclear Safety and Consumer Protection, 2022, National Strategy on Biological Diversity 2030-First draft, Nationale Strategie zur Biologischen Vielfalt 2030-Diskussionsvorschlage des BMUV
   Olsson L., 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, DOI [10.1017/9781009157988.006, DOI 10.1017/9781009157988.006]
   openlca, openLCA 1.9.0. Copyright (c) 2007-2019 GreenDelta. openLCA with Ecoinvent Database
   Räsänen A, 2023, SCI TOTAL ENVIRON, V882, DOI 10.1016/j.scitotenv.2023.163583
   Robinson CH, 2023, MIRES PEAT, V29, DOI 10.19189/MaP.2022.OMB.StA.2404
   Saxony-Anhalt State Office for Geology and Mining (LAGB), Soil Maps
   Saxony-Anhalt State Office for Surveying and Geoinformation (LVermGeo), Digital Terrain Model
   Schaller C, 2022, J GEOPHYS RES-BIOGEO, V127, DOI 10.1029/2020JG005960
   Schneider P., 2023, Agroecological Approaches for Sustainable Soil Management, P409
   Schwieger S, 2022, J APPL ECOL, V59, P2106, DOI 10.1111/1365-2664.14222
   Seidel M, 2021, LIMNOLOGICA, V88, DOI 10.1016/j.limno.2021.125873
   Shin Y.-J., 2019, The Global Assessment Report on Biodiversity and Ecosystem Services, P600
   Stammel B, 2021, RIVER RES APPL, V37, P209, DOI 10.1002/rra.3669
   Tanneberger F, 2021, DIVERSITY-BASEL, V13, DOI 10.3390/d13080381
   Tanneberger F, 2020, WETLANDS, V40, P2309, DOI 10.1007/s13157-020-01310-8
   Temmink RJM, 2024, BIOGEOCHEMISTRY, V167, P347, DOI 10.1007/s10533-023-01065-4
   Temmink RJM, 2023, AMBIO, V52, P1519, DOI 10.1007/s13280-023-01875-8
   Tiemeyer B, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105838
   Wetlands International, 2022, Peatlands in the EU Nature Restoration Law-A Factsheet
   Wittig R., 2014, Biodiversitt: Grundlagen, Gefhrdung, Schutz, P149, DOI [10.1007/978-3-642-54694-5, DOI 10.1007/978-3-642-54694-5]
   Xu SQ, 2023, CATENA, V228, DOI 10.1016/j.catena.2023.107191
   Zak D, 2022, J APPL ECOL, V59, P2698, DOI 10.1111/1365-2664.14261
   Zerbe S., 2019, Renaturierung von kosystemen im Spannungsfeld von Mensch und Umwelt, P151, DOI [10.1007/978-3-662-58650-1, DOI 10.1007/978-3-662-58650-1]
   Zerbe S, 2023, RESTORATION OF ECOSYSTEMS - BRIDGING NATURE AND HUMANS, P473, DOI 10.1007/978-3-662-65658-7_22
   Zhou YY, 2023, SCI TOTAL ENVIRON, V882, DOI 10.1016/j.scitotenv.2023.163395
   Zou JY, 2022, NAT GEOSCI, V15, P627, DOI 10.1038/s41561-022-00989-0
NR 59
TC 2
Z9 2
U1 10
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2024
VL 13
IS 5
AR 581
DI 10.3390/land13050581
PG 29
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SC4A8
UT WOS:001232235000001
OA gold
DA 2025-01-10
ER

PT J
AU Tyagi, S
   Sahany, S
   Saraswat, D
   Mishra, SK
   Dubey, A
   Niyogi, D
AF Tyagi, Shoobhangi
   Sahany, Sandeep
   Saraswat, Dharmendra
   Mishra, Saroj kanta
   Dubey, Amlendu
   Niyogi, Dev
TI Assessing Regional-Scale Heterogeneity in Blue-Green Water Availability
   under the 1.5 ° C Global Warming Scenario
SO JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
LA English
DT Article
DE Climate models; Hydrologic models; Climate variability; Agriculture;
   Regional effects; Water resources
ID CLIMATE-CHANGE; RIVER-BASIN; SWAT MODEL; LAND-USE; DATA SET; IMPACT;
   TOOL; CMIP5; INDIA; CHHATTISGARH
AB The 2015 Paris Agreement outlined limiting global warming to 1.5 degrees C relative to the preindustrial levels, necessitating the development of regional climate adaptation strategies. This requires a comprehensive understanding of how the 1.5 degrees C rise in global temperature would translate across different regions. However, its implications on critical agricultural components, particularly blue and green water, remains understudied. This study investigates these changes using a rice -growing semiarid region in central India. The aim of this study is to initiate a discussion on the regional response of blue - green water at speci fi c warming levels. Using different global climate models (GCMs) and shared socioeconomic pathways (SSPs), the study estimated the time frame for reaching the 1.5 degrees C warming level and subsequently investigated changes in regional precipitation, temperature, surface runoff, and blue - green water. The results reveal projected reductions in precipitation and surface runoff by approximately 5% - 15% and 10% - 35%, respectively, along with decrease in green and blue water by approximately 12% - 1% and 40% - 10%, respectively, across different GCMs and SSPs. These fi ndings highlight 1) the susceptibility of blue - green water to the 1.5 degrees C global warming level, 2) the narrow time frame available for the region to develop the adaptive strategies, 3) the in fl uence of warm semiarid climate on the blue - green water dynamics, and 4) the uncertainty associated with regional assessment of a speci fi c warming level. This study provides new insights for shaping food security strategies over highly vulnerable semiarid regions and is expected to serve as a reference for other regional blue/green water assessment studies.
C1 [Tyagi, Shoobhangi; Mishra, Saroj kanta; Dubey, Amlendu] Indian Inst Technol Delhi, Delhi, India.
   [Tyagi, Shoobhangi; Saraswat, Dharmendra; Niyogi, Dev] Purdue Univ, W Lafayette, IN 47907 USA.
   [Sahany, Sandeep] Ctr Climate Res, Singapore, Singapore.
   [Niyogi, Dev] Univ Texas Austin, Austin, TX 78712 USA.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Delhi; Purdue University System; Purdue University;
   University of Texas System; University of Texas Austin
RP Tyagi, S (corresponding author), Indian Inst Technol Delhi, Delhi, India.; Tyagi, S; Niyogi, D (corresponding author), Purdue Univ, W Lafayette, IN 47907 USA.; Niyogi, D (corresponding author), Univ Texas Austin, Austin, TX 78712 USA.
EM shoobha.93@gmail.com; dev.niyogi@jsg.utexas.edu
RI tyagi, Shoobhangi/IUN-4125-2023; Sahany, Sandeep/KXR-6801-2024; Niyogi,
   Dev/H-6326-2013
OI Niyogi, Dev/0000-0002-1848-5080; Tyagi, Shoobhangi/0000-0002-1583-8100
FU Science and Engineering Research Board (SERB), the Department of Science
   and Technology, government of India
FX We thank the Science and Engineering Research Board (SERB), the
   Department of Science and Technology, government of India, for providing
   an opportunity for collaborative research through the Overseas Visiting
   Doctoral Fellowship (OVDF) program. We thank Dr. K. K. Singh of the
   India Meteorological Department for providing feedback on the
   significance of impact assessment over the Chhattisgarh region. We also
   thank the Indira Gandhi Agricultural University, Chhattisgarh, for
   providing the crop management data. Author Tyagi thanks the Department
   of Agricultural and Biological Engineering, Purdue University, DST CoE
   in climate modeling at IIT Delhi, and Yes Foundation for providing the
   resources and infrastructure to conduct this research. Author Niyogi
   benefited from William Stamps Farish Chair at The University of Texas at
   Austin, and NASA CyGNSS Science Team 80NSSC21K1008.
CR Abbaspour KC, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0282-4
   Abbaspour K.C., 2015, SWAT-CUP: SWAT Calibration and Uncertainty ProgramsA User Manual
   Abeysingha NS, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2905-y
   Afshar AA, 2018, THEOR APPL CLIMATOL, V134, P885, DOI 10.1007/s00704-017-2309-0
   Alegria MEO, 2019, WATER-SUI, V11, DOI 10.3390/w11122447
   Allen M., 2018, GLOBAL WARMING 15 C, P49, DOI [10.1017/9781009157940.003, DOI 10.1017/9781009157940.003]
   Ambika AK, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.118
   ARNOLD JG, 1995, GROUND WATER, V33, P1010, DOI 10.1111/j.1745-6584.1995.tb00046.x
   Badou DF, 2018, HYDROL PROCESS, V32, P2526, DOI 10.1002/hyp.13153
   Bhowmick M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1271
   Bhuarya S. K., 2015, J. Agric. Phys, V15, P140
   Chakraborty A., 2018, T I INDIAN GEOGR, V40, P25
   Chaudhary S, 2017, J HYDROL, V546, P204, DOI 10.1016/j.jhydrol.2017.01.023
   Chawra U., 2021, Pharma Innov. J., V10, P1183
   Chhattisgarh Environment Conservation Board, 2020, Agriculture
   Chou JM, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.655128
   Das SK, 2022, WATER-SUI, V14, DOI 10.3390/w14030445
   Dey A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127579
   Dile YT, 2014, J AM WATER RESOUR AS, V50, P1226, DOI 10.1111/jawr.12182
   Dixit A, 2021, J ENVIRON MANAGE, V295, DOI 10.1016/j.jenvman.2021.113101
   Douglas-Mankin KR, 2010, T ASABE, V53, P1423
   Du LY, 2018, J HYDROL, V562, P84, DOI 10.1016/j.jhydrol.2018.02.071
   Falkenmark M., 1995, Land and Water Integration and River Basin Management, V1, P15
   Fuka DR, 2014, HYDROL PROCESS, V28, P5613, DOI 10.1002/hyp.10073
   Gupta V, 2018, J HYDROL, V567, P489, DOI 10.1016/j.jhydrol.2018.10.012
   Gusain A, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138600
   Gusain A, 2020, ATMOS RES, V232, DOI 10.1016/j.atmosres.2019.104680
   He LY, 2023, PNAS NEXUS, V2, DOI 10.1093/pnasnexus/pgad117
   Hempel S, 2013, EARTH SYST DYNAM, V4, P219, DOI 10.5194/esd-4-219-2013
   Himanshu SK, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-016-6316-8
   Hossain F, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142073
   Huo JJ, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12101280
   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]
   Jain S, 2019, ATMOS RES, V228, P152, DOI 10.1016/j.atmosres.2019.05.026
   Jain S, 2019, THEOR APPL CLIMATOL, V137, P1429, DOI 10.1007/s00704-018-2674-3
   Jewitt G, 2006, PHYS CHEM EARTH, V31, P753, DOI 10.1016/j.pce.2006.08.033
   Jeyrani F, 2021, AGR WATER MANAGE, V256, DOI 10.1016/j.agwat.2021.107074
   Joshi PK, 2009, ENVIRON MONIT ASSESS, V149, P371, DOI 10.1007/s10661-008-0211-z
   Kang WD, 2023, J HYDROL-REG STUD, V48, DOI 10.1016/j.ejrh.2023.101484
   Kumar M, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126252
   Kumar N, 2017, J HYDROL-REG STUD, V13, P189, DOI 10.1016/j.ejrh.2017.07.008
   Lehner F., 2023, ADV STAT CLIM METEOR, V9, P29, DOI [10.5194/ascmo-9-29-2023, DOI 10.5194/ASCMO-9-29-2023]
   Li BS, 2022, CLIM DYNAM, V59, P2853, DOI 10.1007/s00382-022-06245-w
   Liang J, 2020, J CLEAN PROD, V265, DOI 10.1016/j.jclepro.2020.121834
   Liu MB, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-21880-3
   Liu X, 2015, EARTH INTERACT, V19, DOI 10.1175/EI-D-15-0005.1
   Liu XC, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002567
   Luo Y, 2012, HYDROL EARTH SYST SC, V16, P1259, DOI 10.5194/hess-16-1259-2012
   Ma WJ, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139502
   Madakumbura GD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39936-2
   Maraun D, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051210
   Maraun D, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD032824
   Mehan S, 2016, CLIMATE, V4, DOI 10.3390/cli4040056
   Mishra SK, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0049-1
   Mitchell D, 2017, GEOSCI MODEL DEV, V10, P571, DOI 10.5194/gmd-10-571-2017
   Mohanty UC, 2019, MAUSAM, V70, P691
   Moriasi DN, 2015, T ASABE, V58, P1609
   Moriasi DN, 2019, J AM WATER RESOUR AS, V55, P1102, DOI 10.1111/1752-1688.12789
   Nayak HP, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.264
   Negewo TF, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002047
   Niyogi D, 2015, GEOPHYS RES LETT, V42, P3356, DOI 10.1002/2015GL063841
   Niyogi D, 2010, WATER RESOUR RES, V46, DOI 10.1029/2008WR007082
   Niyogi DS, 1999, BOUND-LAY METEOROL, V91, P341, DOI 10.1023/A:1002023724201
   Orth R, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06013-7
   Osima S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba1b
   Pai DS, 2014, MAUSAM, V65, P1
   Pai N, 2011, T ASABE, V54, P1649, DOI 10.13031/2013.39854
   Pai N, 2012, COMPUT GEOSCI-UK, V40, P175, DOI 10.1016/j.cageo.2011.07.006
   Pandey BK, 2019, WATER RESOUR MANAG, V33, P141, DOI 10.1007/s11269-018-2093-3
   Qian WJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18041992
   Rajeevan M., 2005, Development of a high resolution daily gridded rainfall data for the Indian region
   Rodrigues DBB, 2014, WATER RESOUR RES, V50, P7187, DOI 10.1002/2013WR014274
   Rosa L, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz6031
   Salunke P, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.1069994
   Sarkar S, 2022, J GEOPHYS RES-ATMOS, V127, DOI 10.1029/2021JD035539
   Scholes RJ, 2020, CLIMATE, V8, DOI 10.3390/cli8030043
   Sharma S., 2018, J PHARMACOGN PHYTOCH, V7, P2873
   Siddique R, 2021, CLIMATE, V9, DOI 10.3390/cli9010009
   Singh G, 2019, APPL ENG AGRIC, V35, P723, DOI 10.13031/aea.13295
   Singh J, 2020, CLIMATIC CHANGE, V162, P1323, DOI 10.1007/s10584-020-02786-3
   Singh L., 2020, HydroResearch, V3, P95, DOI DOI 10.1016/J.HYDRES.2020.09.001
   Singh Neeraj, 2021, IOP Conference Series: Materials Science and Engineering, V1116, DOI 10.1088/1757-899X/1116/1/012182
   Sinnathamby S, 2017, AGR WATER MANAGE, V180, P61, DOI 10.1016/j.agwat.2016.10.024
   Srinivasan R, 2010, T ASABE, V53, P1533
   Srivastava AK, 2009, ATMOS SCI LETT, V10, P249, DOI 10.1002/asl.232
   Swain S., 2015, INT J ADV ENG RES ST, V2015, P87
   Swain S., 2022, ENV CHALLENGES, V8, DOI [10.1016/j.envc.2022.100579, DOI 10.1016/J.ENVC.2022.100579]
   Swain S, 2017, 2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), P358, DOI 10.1109/I2CT.2017.8226151
   Tan ML, 2020, ADV WATER RESOUR, V143, DOI 10.1016/j.advwatres.2020.103662
   Tan ML, 2019, WATER-SUI, V11, DOI 10.3390/w11020283
   Thrasher B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01393-4
   Tripathi B. P., 2019, INT J CURR MICROBIOL, V8, P807, DOI DOI 10.20546/IJCMAS.2019.809.096
   Tyagi S, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002723
   Tyagi S, 2019, MODEL EARTH SYST ENV, V5, P1, DOI 10.1007/s40808-018-0513-2
   van Griensven A, 2012, HYDROL EARTH SYST SC, V16, P3371, DOI 10.5194/hess-16-3371-2012
   Veettil AV, 2016, J HYDROL, V542, P589, DOI 10.1016/j.jhydrol.2016.09.032
   Verma Mani Kant, 2019, International Journal of Hydrology Science and Technology, V9, P640, DOI 10.1504/IJHST.2019.103444
   Wei XL, 2018, J HYDROL ENG, V23, DOI 10.1061/(ASCE)HE.1943-5584.0001696
   Willkofer F, 2018, J HYDROL-REG STUD, V19, P25, DOI 10.1016/j.ejrh.2018.06.010
   Xie XH, 2011, J HYDROL, V396, P61, DOI 10.1016/j.jhydrol.2010.10.032
   Yaduvanshi A, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab4ee2
   Yang MZ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020242
   Zhang X, 2019, WATER-SUI, V11, DOI 10.3390/w11061122
   Zhang YF, 2020, WATER-SUI, V12, DOI 10.3390/w12102661
   Zhu Q, 2016, HYDROLOG SCI J, V61, P914, DOI 10.1080/02626667.2014.1000915
NR 105
TC 0
Z9 0
U1 3
U2 3
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 1558-8424
EI 1558-8432
J9 J APPL METEOROL CLIM
JI J. Appl. Meteorol. Climatol.
PD APR
PY 2024
VL 63
IS 4
BP 553
EP 574
DI 10.1175/JAMC-D-23-0083.1
PG 22
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA QA8G4
UT WOS:001218245000003
DA 2025-01-10
ER

PT J
AU Ashrafian, T
AF Ashrafian, Touraj
TI Enhancing school buildings energy efficiency under climate change: A
   comprehensive analysis of energy, cost, and comfort factors
SO JOURNAL OF BUILDING ENGINEERING
LA English
DT Article
DE Future weather; Occupants comfort; Buildings energy performance; Global
   cost; School buildings
ID FUTURE WEATHER DATA; THERMAL PERFORMANCE; IMPACT; CONSUMPTION;
   SIMULATIONS; UNCERTAINTY; STRATEGIES; PREDICTION; SCENARIOS; DEMAND
AB Incorporating future weather predictions into building assessments is essential for enhancing resilience, energy efficiency, cost savings, comfort, and sustainable infrastructure development in response to climate change. This study investigates the interplay between climate change and building performance, primarily focusing on energy usage, cost implications, and occupant comfort. It examines how future weather conditions impact school buildings in different climates, analyzing energy, cost, and comfort aspects. The research underscores the significance of tailored climate adaptation strategies for various regions and emphasizes considering future performance, even for highly energy-efficient buildings. Employing a comprehensive simulation-based approach, the study implements and validates future weather data in a Turkish school building, incorporating envelope improvements and photovoltaic applications to boost energy efficiency. A distinctive feature is the rigorous validation of future weather predictions against current measured data, facilitating a regional-level assessment of climate change effects on building energy consumption. The study's novelty lies in its detailed evaluation of climate change's multifaceted impacts on buildings, innovative future climate data validation, and contribution to a more localized and climate-specific approach to addressing building energy-cost-comfort performance. Findings reveal that in hot climates, there is a potential for nearly doubling primary energy consumption, global costs, and CO2 emissions in the future for both cost-optimal and nearly zeroenergy scenarios. Consequently, the savings would decrease from 53-63 % to 13-30 %. In contrast, in cold climates, the impact on these parameters differs slightly, with reduced primary energy consumption and CO2 emissions but higher global costs. Notably, a building retrofitted to a high energy efficiency level may experience a substantial increase in future energy consumption and global costs, approaching the levels of currently inefficient buildings.
C1 [Ashrafian, Touraj] Northumbria Univ, Fac Engn & Environm, Dept Architecture & Built Environm, Newcastle Upon Tyne, England.
   [Ashrafian, Touraj] Ozyegin Univ, Fac Architecture & Design, Dept Architecture, Istanbul, Turkiye.
C3 Northumbria University; Ozyegin University
RP Ashrafian, T (corresponding author), Northumbria Univ, Fac Engn & Environm, Dept Architecture & Built Environm, Newcastle Upon Tyne, England.
EM touraj.ashrafian@northumbria.ac.uk
RI Ashrafian, Touraj/C-4873-2011; Ashrafian, Touraj/E-6462-2013
OI Ashrafian, Touraj/0000-0001-9243-7071
CR Abolhassani SS, 2023, J BUILD ENG, V63, DOI 10.1016/j.jobe.2022.105428
   Akkose G, 2021, J BUILD ENG, V40, DOI 10.1016/j.jobe.2021.102294
   Alves CA, 2016, ENERG BUILDINGS, V114, P62, DOI 10.1016/j.enbuild.2015.06.044
   [Anonymous], 2022, Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/9781009325844
   [Anonymous], 2017, Energy Performance of BuildingsEconomic Evaluation Procedure for Energy Systems in BuildingsPart 1: Calculation procedures, Module M1-14
   [Anonymous], 2020, ASHRAE Standard 55-2020 Thermal environmental conditions for human occupancy
   ASHRAE, 2014, ASHRAE GUID 14 MEAS
   Bahadur AV, 2014, URBAN CLIM, V7, P20, DOI 10.1016/j.uclim.2013.08.004
   Barclay M, 2012, BUILD SERV ENG RES T, V33, P35, DOI 10.1177/0143624411427460
   Barron E J, 1994, Climate model applications in Paleoenvironmental analysis, P23
   Bazazzadeh H, 2021, EUR J SUSTAIN DEV, V10, P1, DOI 10.14207/ejsd.2021.v10n2p1
   Berardi U, 2020, SOL ENERGY, V209, P493, DOI 10.1016/j.solener.2020.09.015
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Campagna LM, 2022, ENERGIES, V15, DOI 10.3390/en15010354
   Chakraborty D, 2021, APPL ENERG, V291, DOI 10.1016/j.apenergy.2021.116807
   Chan ALS, 2011, ENERG BUILDINGS, V43, P2860, DOI 10.1016/j.enbuild.2011.07.003
   Chen YX, 2023, J BUILD ENG, V78, DOI 10.1016/j.jobe.2023.107646
   Ciancio V, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102213
   Cirrincione L, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108198
   Climate, OneBuilding
   Congedo PM, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103057
   Cox RA, 2015, BUILD ENVIRON, V83, P104, DOI 10.1016/j.buildenv.2014.04.006
   Crawley DB, 2007, BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, P1075
   D'Agostino D, 2022, DATA, V7, DOI 10.3390/data7050066
   de Rubeis T, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102300
   de Wilde P, 2008, BUILD SERV ENG RES T, V29, P7, DOI 10.1177/0143624407087261
   de Wilde P, 2012, BUILD ENVIRON, V55, P167, DOI 10.1016/j.buildenv.2012.01.018
   de Wilde P, 2009, BUILD SIMUL-CHINA, V2, P157, DOI 10.1007/s12273-009-9116-1
   Dias JB, 2020, BUILD ENVIRON, V181, DOI 10.1016/j.buildenv.2020.107125
   Drury M., Climate Change and its Effect on Weather Data
   Dunne JP, 2012, J CLIMATE, V25, P6646, DOI 10.1175/JCLI-D-11-00560.1
   Escandón R, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108482
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Fonseca JA, 2020, APPL ENERG, V277, DOI 10.1016/j.apenergy.2020.115556
   Guan L, 2009, BUILD ENVIRON, V44, P793, DOI 10.1016/j.buildenv.2008.05.021
   González VG, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12157361
   Heracleous C, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.103358
   Herrera M., 2017, ORE Open Research Exeter TITLE A Review of Current and Future Weather Data for Building Simulation A NOTE on VERSIONS A Review of Current and Future Weather Data for Building Simulation
   Hosseini M, 2018, J BUILD ENG, V17, P107, DOI 10.1016/j.jobe.2018.02.001
   Ismail FH, 2021, J BUILD ENG, V39, DOI 10.1016/j.jobe.2021.102285
   Jafarpur P, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.102725
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Jia A.C.Hongyuan, Epwshiftr: create future "EnergyPlus"weather files using "CMIP6"data
   Jones R., 2015, Technical Manual for PRECIS., V1, P1
   Kalvelage K, 2014, ENERG BUILDINGS, V76, P373, DOI 10.1016/j.enbuild.2014.03.009
   Kharseh M, 2014, ENERG CONVERS MANAGE, V81, P106, DOI 10.1016/j.enconman.2014.02.001
   Kim J, 2018, BUILD ENVIRON, V127, P13, DOI 10.1016/j.buildenv.2017.10.031
   Kükrer E, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.102697
   Kwok AG, 2010, BUILD ENVIRON, V45, P18, DOI 10.1016/j.buildenv.2009.02.005
   Liu S, 2020, ENERG BUILDINGS, V209, DOI 10.1016/j.enbuild.2019.109696
   Lomas KJ, 2012, BUILD ENVIRON, V55, P57, DOI 10.1016/j.buildenv.2011.12.006
   Mangan SD, 2020, COGENT ENG, V7, DOI 10.1080/23311916.2020.1714112
   Mauritsen T, 2019, J ADV MODEL EARTH SY, V11, P998, DOI 10.1029/2018MS001400
   McGilligan C, 2011, ENERG BUILDINGS, V43, P2767, DOI 10.1016/j.enbuild.2011.06.037
   Meier P, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6f64
   Mendell MJ, 2005, INDOOR AIR, V15, P27, DOI 10.1111/j.1600-0668.2004.00320.x
   Moazami A, 2019, APPL ENERG, V238, P696, DOI 10.1016/j.apenergy.2019.01.085
   Moazzen N, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111487
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nakicenovic N., 2000, EMISSIONS SCENARIOS
   Nguyen AT, 2021, J BUILD ENG, V35, DOI 10.1016/j.jobe.2020.102089
   Nguyen AT, 2014, ENERG BUILDINGS, V68, P756, DOI 10.1016/j.enbuild.2012.08.050
   Nik VM, 2015, ENERG BUILDINGS, V88, P262, DOI 10.1016/j.enbuild.2014.11.015
   Nydahl H, 2019, ENERG BUILDINGS, V203, DOI 10.1016/j.enbuild.2019.109428
   OCED/IEA, 2017, Energy Technology Perspectives 2017, 371
   Tootkaboni MP, 2021, CLIMATE, V9, DOI 10.3390/cli9020037
   Passer A, 2016, ENERG BUILDINGS, V124, P153, DOI 10.1016/j.enbuild.2016.04.008
   Peng CZ, 2014, 2014 INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG)
   Pereira LD, 2014, RENEW SUST ENERG REV, V40, P911, DOI 10.1016/j.rser.2014.08.010
   Pioppi B, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134448
   Pouriya Jafarpur, 2019, IOP Conference Series: Materials Science and Engineering, V609, DOI 10.1088/1757-899X/609/7/072037
   Ramon D, 2019, ENERGY ENV SUSTAIN, P111, DOI 10.1007/978-981-13-3284-5_6
   Rodrigues E, 2020, APPL ENERG, V259, DOI 10.1016/j.apenergy.2019.114110
   Roetzel A, 2012, BUILD ENVIRON, V57, P349, DOI 10.1016/j.buildenv.2012.06.002
   Santamouris M, 2016, SOL ENERGY, V128, P61, DOI 10.1016/j.solener.2016.01.021
   Santos RA, 2023, J BUILD ENG, V63, DOI 10.1016/j.jobe.2022.105498
   Shen PY, 2019, APPL ENERG, V233, P254, DOI 10.1016/j.apenergy.2018.10.041
   Shen PY, 2017, ENERG BUILDINGS, V134, P61, DOI 10.1016/j.enbuild.2016.09.028
   Silva AS, 2014, ENERG BUILDINGS, V76, P381, DOI 10.1016/j.enbuild.2014.03.001
   Tang YH, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108088
   tcmb, Monetary Policy, Central Bank of the republic of Turkey
   Tol RSJ, 2019, ENERG ECON, V83, P555, DOI 10.1016/j.eneco.2019.07.006
   Tonmoy FN, 2020, ENVIRON SCI POLICY, V108, P1, DOI 10.1016/j.envsci.2020.03.005
   Troup L., 2016, ASHRAE IBPSA US BUIL, P439
   Turkish Green Building Council (CEDBIK), 2019, Green Building Certification Guide for New Houses, V2
   Turkish Standardization Institute, 2008, TS825: Thermal Insulation Requirements for Buildings
   Turunen M, 2014, INT J HYG ENVIR HEAL, V217, P733, DOI 10.1016/j.ijheh.2014.03.002
   United Nations Environment Programme (UNEP), 2012, Building design and construction: Forging resource efficiency and sustainable development, P28
   Verichev K, 2020, ENERG BUILDINGS, V215, DOI 10.1016/j.enbuild.2020.109874
   W. M. Organization, KNMI climate change atlas
   Wang LP, 2017, ENERG BUILDINGS, V157, P218, DOI 10.1016/j.enbuild.2017.01.007
   Wargocki P, 2007, HVAC&R RES, V13, P193, DOI 10.1080/10789669.2007.10390951
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Wuebbles T.K.M., 2017, CLIMATE SCIENCE SPECIAL REPORT, Fourth National Climate Assessment, V1, DOI [10.7930/J0J964J6, DOI 10.7930/J0J964J6]
   Xie XX, 2020, RENEW ENERG, V150, P943, DOI 10.1016/j.renene.2019.11.148
   Yang YC, 2021, APPL ENERG, V298, DOI 10.1016/j.apenergy.2021.117246
   Yassaghi H., 2019, BUILDINGS, V9, DOI [10.3390/buildings9070166, DOI 10.3390/buildings9070166]
   Yu JQ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12081284
   Yuan JH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030861
   Zhai ZJ, 2019, SUSTAIN CITIES SOC, V44, P511, DOI 10.1016/j.scs.2018.10.043
   Zolfaghari Z., 2022, 2022 ANN MODELING SI
NR 102
TC 11
Z9 12
U1 9
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2352-7102
J9 J BUILD ENG
JI J. Build. Eng.
PD DEC 1
PY 2023
VL 80
AR 107969
DI 10.1016/j.jobe.2023.107969
EA OCT 2023
PG 27
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA Z2NX9
UT WOS:001110507500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Cho, W
   Lim, CH
AF Cho, Wonhee
   Lim, Chul-Hee
TI Simplified and High Accessibility Approach for the Rapid Assessment of
   Deforestation in Developing Countries: A Case of Timor-Leste
SO REMOTE SENSING
LA English
DT Article
DE deforestation; land cover classification; U-NET; developing countries;
   feasibility study; Timor-Leste
ID LAND-COVER CLASSIFICATION; FOREST DEGRADATION; ECOSYSTEM GOODS;
   SERVICES; SCIENCE
AB Forests are essential for sustaining ecosystems, regulating the climate, and providing economic benefits to human society. However, activities such as commercial practices, fuelwood collection, and land use changes have resulted in severe forest degradation and deforestation. Timor-Leste, a small island nation, faces environmental sustainability challenges due to land use changes, limited infrastructure, and agricultural practices. This study proposes a simplified and highly accessible approach to assess deforestation (SHAD) nationally using limited human and non-human resources such as experts, software, and hardware facilities. To assess deforestation in developing countries, we utilize open-source software (Dryad), employ the U-Net deep learning algorithm, and utilize open-source data generated from the Google Earth Engine platform to construct a time-series land cover classification model for Timor-Leste. In addition, we utilize the open-source land cover map as label data and satellite imagery as model training inputs, and our model demonstrates satisfactory performance in classifying time-series land cover. Next, we classify the land cover in Timor-Leste for 2016 and 2021, and verified that the forest classification achieved high accuracy ranging from 0.79 to 0.89. Thereafter, we produced a deforestation map by comparing the two land cover maps. The estimated deforestation rate was 1.9% annually with a primary concentration in the northwestern municipalities of Timor-Leste with dense population and human activities. This study demonstrates the potential of the SHAD approach to assess deforestation nationwide, particularly in countries with limited scientific experts and infrastructure. We anticipate that our study will support the development of management strategies for ecosystem sustainability, climate adaptation, and the conservation of economic benefits in various fields.
C1 [Cho, Wonhee] Kookmin Univ, Ind Acad Cooperat Fdn, Seoul 02707, South Korea.
   [Lim, Chul-Hee] Kookmin Univ, Coll Gen Educ, Seoul 02707, South Korea.
C3 Kookmin University; Kookmin University
RP Lim, CH (corresponding author), Kookmin Univ, Coll Gen Educ, Seoul 02707, South Korea.
EM acehero7@kookmin.ac.kr; clim@kookmin.ac.kr
RI Cho, Wonhee/IZQ-1333-2023
OI Lim, Chul-Hee/0000-0001-7752-0694; Cho, Wonhee/0000-0002-9598-6188
FU We appreciate the cooperation of SK Forest and the Timor-Leste
   government, who provided the regional information and field campaign
   opportunity. And especially thanks to Sue Kyoung Lee, who actively
   facilitate the Timor-Leste project.
FX We appreciate the cooperation of SK Forest and the Timor-Leste
   government, who provided the regional information and field campaign
   opportunity. And especially thanks to Sue Kyoung Lee, who actively
   facilitate the Timor-Leste project.
CR ALLEN JC, 1985, ANN ASSOC AM GEOGR, V75, P163, DOI 10.1111/j.1467-8306.1985.tb00079.x
   [Anonymous], 2015, GLOBAL FOREST RESOUR
   Baker DJ, 2010, ENVIRON SCI POLICY, V13, P249, DOI 10.1016/j.envsci.2010.03.004
   Balick MichaelJ., 1996, MED RESOURCES TROPIC
   Barit JB, 2022, IFOREST, V15, P63, DOI 10.3832/ifor3937-014
   Benndorf R, 2007, ENVIRON SCI POLICY, V10, P283, DOI 10.1016/j.envsci.2006.10.011
   Bouma GA, 2004, NAT RESOUR FORUM, V28, P1, DOI 10.1111/j.0165-0203.2004.00067.x
   Brearley FQ, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0840-0
   Bucciarelli E, 2010, PROCD SOC BEHV, V9, DOI 10.1016/j.sbspro.2010.12.199
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   de Bem PP, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12060901
   Deep S, 2014, EGYPT J REMOTE SENS, V17, P179, DOI 10.1016/j.ejrs.2014.07.001
   FAO, 2020, GLOBAL FOREST RESOUR, DOI [DOI 10.4060/CA8753EN, 10.4060/ca9825-n, DOI 10.4060/CA9825-N]
   Faria D, 2023, BIOL CONSERV, V283, DOI 10.1016/j.biocon.2023.110126
   Feyen J., 2021, IGARSS 2021 2021 IEE, P6072, DOI [10.1109/IGARSS47720.2021.9555037, DOI 10.1109/IGARSS47720.2021.9555037]
   Foley JA, 2007, FRONT ECOL ENVIRON, V5, P25, DOI 10.1890/1540-9295(2007)5[25:ARFDAL]2.0.CO;2
   Gandhi GM, 2015, PROCEDIA COMPUT SCI, V57, P1199, DOI 10.1016/j.procs.2015.07.415
   Ghazoul J, 2015, TRENDS ECOL EVOL, V30, P622, DOI 10.1016/j.tree.2015.08.001
   Giang TL, 2020, IEEE ACCESS, V8, P186257, DOI 10.1109/ACCESS.2020.3030112
   Ginsberg J, 1999, CONSERV BIOL, V13, P5, DOI 10.1046/j.1523-1739.1999.013001005.x
   Jeevalakshmi D, 2016, 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1, P1332, DOI 10.1109/ICCSP.2016.7754369
   John D, 2022, INT J APPL EARTH OBS, V107, DOI 10.1016/j.jag.2022.102685
   Kissinger G., 2012, DRIVERS DEFORESTATIO
   Köhlin G, 2001, LAND ECON, V77, P206, DOI 10.2307/3147090
   Kuck TN, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173341
   Kumar R., 2022, Deforestation and Forests Degradation Impacts on the Environment, P19, DOI [DOI 10.1007/978-3-030-95542-7_2, 10.1007/978-3-030-95542-72, DOI 10.1007/978-3-030-95542-72]
   Lee SH, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203372
   Mangul S, 2019, NAT BIOTECHNOL, V37, P324, DOI 10.1038/s41587-019-0053-y
   Manuri S., 2022, Synthesising Existing Forest Inventory Datasets for Estimating Historical Aboveground Biomass Stocks, Growth and Mortality in Logged-over Tropical Dipterocarp Forests of Kalimantan
   Maretto RV, 2021, IEEE GEOSCI REMOTE S, V18, P771, DOI 10.1109/LGRS.2020.2986407
   May M, 2015, NATURE, V522, pS1, DOI 10.1038/522S1a
   Mertz O, 2012, GEOGR TIDSSKR-DEN, V112, P63, DOI 10.1080/00167223.2012.709678
   Mori AS, 2017, J APPL ECOL, V54, P12, DOI 10.1111/1365-2664.12669
   MUNASINGHE M, 1992, WORLD BANK ENVIRON P, P161
   Myers N, 1988, Environmentalist, V8, P187, DOI 10.1007/BF02240252
   Ortega MX, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information, V4, P121
   Ronneberger O, 2015, LECT NOTES COMPUT SC, V9351, P234, DOI 10.1007/978-3-319-24574-4_28
   Sabu MM, 2022, SPAT INF RES, V30, P63, DOI 10.1007/s41324-021-00411-8
   Sheil D, 2002, CONSERV ECOL, V6
   Solórzano JV, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183600
   STORY M, 1986, PHOTOGRAMM ENG REM S, V52, P397
   Sweeney BW, 2004, P NATL ACAD SCI USA, V101, P14132, DOI 10.1073/pnas.0405895101
   Tahir T, 2021, ENVIRON SCI POLLUT R, V28, P8088, DOI 10.1007/s11356-020-11198-w
   Rudorff BFT, 2011, REMOTE SENS-BASEL, V3, P185, DOI 10.3390/rs3010185
   Thompson ID, 2011, BIOSCIENCE, V61, P972, DOI 10.1525/bio.2011.61.12.7
   Ulmas P, 2020, Arxiv, DOI [arXiv:2003.02899, DOI 10.48550/ARXIV.2003.02899]
   UNDP, 2018, Strengthening Targeted National Capacities to Improve Decision-Making and Mainstreaming Global Environmental Obligations into National Development Priorities
   UNFCCC, 2015, FCCCCP2015L9REV1
   UNFCCC, 2010, UN FRAM CONV CLIM CH
   Vadrevu K, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9c5d
   van Rijsbergen C., 1979, Information retrieval, V2
   Veldkamp E, 2020, NAT REV EARTH ENV, V1, P590, DOI 10.1038/s43017-020-0091-5
   Verplanke J, 2017, ISPRS INT J GEO-INF, V6, DOI 10.3390/ijgi6080244
   Walker R, 2004, INT REGIONAL SCI REV, V27, P247, DOI 10.1177/0160017604266026
   World Bank, 2009, Timor-Leste: Country Environmental Analysis
   Yu WY, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0216923
   Yu Z., 2018, P 2018 7 INT C AGR G, P1
   Zhang W, 2021, INT J REMOTE SENS, V42, P3277, DOI 10.1080/01431161.2020.1871094
NR 58
TC 0
Z9 0
U1 1
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD SEP
PY 2023
VL 15
IS 18
AR 4636
DI 10.3390/rs15184636
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 S6KS1
UT WOS:001072237400001
OA gold
DA 2025-01-10
ER

PT J
AU Guo, YA
   Yang, LS
   Li, HR
   Qiu, LJ
   Wang, L
   Zhang, LT
AF Guo, Yanan
   Yang, Linsheng
   Li, Hairong
   Qiu, Leijie
   Wang, Li
   Zhang, Lantian
TI County level study of the interaction effect of PM<sub>2.5</sub> and
   climate sustainability on mortality in China
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE PM2 5; climate sustainability; mortality; China; interaction effect
ID AIR-QUALITY; TEMPERATURE; IMPACTS; WEATHER; DEATHS; HEALTH
AB IntroductionPM(2.5) and climate change are two major public health concerns, with majority of the research on their interaction focused on the synergistic effect, particularly for extreme events such as hot or cold temperatures. The climate sustainability index (CLS) was introduced to comprehensively explore the impact of climate change and the interactive effect on human health with air pollution. MethodsIn this study, a county-level panel data in China was collected and used. The generalized additive model (GAM) and geographically and temporally weighted regression (GTWR) was used to explore the interactive and spatial effect on mortality between CLS and PM2.5. Results and discussionsIndividually, when CLS is higher than 150 or lower than 50, the mortality is higher. Moreover, when PM2.5 is more than 35 mu g/m(3), the influence on mortality is significantly increased as PM2.5 concentration rises; when PM2.5 is above 70 mu g/m(3), the trend is sharp. A nonlinear antagonistic effect between CLS and PM2.5 was found in this study, proving that the combined adverse health effects of climate change and air pollution, especially when CLS was lower (below 100) and PM2.5 was higher (above 35 mu g/m(3)), the antagonistic effect was much stronger. From a spatial perspective, the impact of CLS and PM2.5 on mortality varies in different geographical regions. A negative and positive influence of CLS and PM2.5 was found in east China, especially in the northeastern and northern regions, -which were heavily polluted. This study illustrated that climate sustainability, at certain level, could mitigate the adverse health influence of air pollution, and provided a new perspective on health risk mitigation from pollution reduction and climate adaptation.
C1 [Guo, Yanan; Yang, Linsheng; Li, Hairong; Qiu, Leijie; Wang, Li; Zhang, Lantian] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China.
   [Guo, Yanan; Yang, Linsheng; Li, Hairong; Wang, Li; Zhang, Lantian] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Wang, L (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China.; Wang, L (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
EM wangli@igsnrr.ac.cn
RI Guo, yanan/KPY-7899-2024
FU National Natural Science Foundation of China [42007414]; Strategic
   Priority Research Program of Chinese Academy of Sciences [XDA23100400]
FX Funding This study is supported by the National Natural Science
   Foundation of China (42007414) and the Strategic Priority Research
   Program of Chinese Academy of Sciences (XDA23100400).
CR Alnwisi SMM, 2022, ECOTOX ENVIRON SAFE, V237, DOI 10.1016/j.ecoenv.2022.113513
   [Anonymous], 2016, PREVENTING DIS HLTH
   [Anonymous], 2020, STATE GLOBAL AIR 202
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Borge R, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105272
   Braveman P, 2011, ANNU REV PUBL HEALTH, V32, P381, DOI 10.1146/annurev-publhealth-031210-101218
   Cai WJ, 2017, NAT CLIM CHANGE, V7, P257, DOI [10.1038/nclimate3249, 10.1038/NCLIMATE3249]
   Cao JJ, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008205
   [陈镘 Chen Man], 2022, [地理科学进展, Progress in Geography], V41, P1028
   Chen S, 2022, J DEV ECON, V156, DOI 10.1016/j.jdeveco.2022.102833
   Chen X., 2006, MODERN PREV MED, V33, P2231, DOI [10.3969/j.issn.1003-8507.2006.12.003, DOI 10.3969/J.ISSN.1003-8507.2006.12.003]
   Clough-Gorr KM, 2015, EUR J EPIDEMIOL, V30, P627, DOI 10.1007/s10654-015-9987-7
   Dasandi Niheer, 2021, Lancet Planet Health, V5, pe93, DOI 10.1016/S2542-5196(20)30302-8
   Dawson J, 2014, NAT CLIM CHANGE, V4, P664, DOI 10.1038/nclimate2306
   Desaigues B, 2011, ECOL INDIC, V11, P902, DOI 10.1016/j.ecolind.2010.12.006
   Ding D, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP4157
   Dixon PG, 2016, GEOGR COMPASS, V10, P147, DOI 10.1111/gec3.12264
   Duan YR, 2019, SCI TOTAL ENVIRON, V697, DOI 10.1016/j.scitotenv.2019.134051
   Dutta A, 2021, HUM ECOL RISK ASSESS, V27, P1786, DOI 10.1080/10807039.2021.1908113
   Gao PJ, 2022, CHEMOSPHERE, V287, DOI 10.1016/j.chemosphere.2021.132255
   Gaur P, 2021, INT J BIOMETEOROL, V65, P601, DOI 10.1007/s00484-020-02037-1
   Grigorieva EA, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12101331
   Hammer MS, 2020, ENVIRON SCI TECHNOL, V54, P7879, DOI 10.1021/acs.est.0c01764
   Hardardottir H, 2021, HEALTH ECON, V30, P2531, DOI 10.1002/hec.4395
   Ho HC, 2018, ENVIRON INT, V112, P10, DOI 10.1016/j.envint.2017.12.001
   Huang B, 2010, INT J GEOGR INF SCI, V24, P383, DOI 10.1080/13658810802672469
   Jin Q, 2017, CHEMOSPHERE, V183, P429, DOI 10.1016/j.chemosphere.2017.05.133
   Lee K, 2009, GLOB INST, P1
   Li YW, 2021, CHEMOSPHERE, V280, DOI 10.1016/j.chemosphere.2021.130843
   Li Y, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030393
   Li Y, 2022, BRAIN SCI, V12, DOI 10.3390/brainsci12060808
   Li ZF, 2022, SCI TOTAL ENVIRON, V818, DOI 10.1016/j.scitotenv.2021.151757
   Liu XY, 2020, ENVIRON RES, V184, DOI 10.1016/j.envres.2020.109368
   Liu Y, 2022, LANCET PLANET HEALTH, V6, pE92, DOI 10.1016/S2542-5196(21)00326-0
   Longden T, 2019, CLIMATIC CHANGE, V157, P221, DOI 10.1007/s10584-019-02519-1
   Pinzón-Rondón AM, 2022, J APPL GERONTOL, V41, P1604, DOI 10.1177/07334648221078577
   Mathews JA, 2016, NATURE, V531, P440, DOI 10.1038/531440a
   Matte TD, 2016, HEALTH SECUR, V14, P64, DOI 10.1089/hs.2015.0059
   McDermott-Levy R, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18158220
   Niermeyer S, 2009, ARCH DIS CHILD, V94, P806, DOI 10.1136/adc.2008.141838
   Norbäck D, 2019, ENVIRON INT, V125, P252, DOI 10.1016/j.envint.2019.01.036
   Owusu PA, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140636
   Partanen AI, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa511
   Revich BA., 2020, IOP C SERIES EARTH E
   Scovronick N, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09499-x
   Shi LH, 2015, NAT CLIM CHANGE, V5, P988, DOI 10.1038/NCLIMATE2704
   Skaftun EK, 2018, INT J EQUITY HEALTH, V17, DOI 10.1186/s12939-018-0771-7
   Sly PD, 2021, J PAEDIATR CHILD H, V57, P1805, DOI 10.1111/jpc.15650
   Torkian S, 2021, THEOR APPL CLIMATOL, V143, P1667, DOI 10.1007/s00704-020-03515-7
   van Donkelaar A, 2019, ENVIRON SCI TECHNOL, V53, P2595, DOI 10.1021/acs.est.8b06392
   Vicedo-Cabrera AM, 2018, CLIMATIC CHANGE, V150, P391, DOI 10.1007/s10584-018-2274-3
   Wang W, 2022, LANCET REG HEALTH-W, V23, DOI 10.1016/j.lanwpc.2022.100451
   Wong MS, 2020, GEOSPATIAL HEALTH, V15, P168, DOI 10.4081/gh.2020.814
   Wu T., 2005, J PREV MED INFO, V21, P23, DOI [10.3969/j.issn.1000-6362.2000.02.003, DOI 10.3969/J.ISSN.1000-6362.2000.02.003, 10.3969/j.issn.1006-4028.2005.01.007, DOI 10.3969/J.ISSN.1006-4028.2005.01.007]
   Xiao QY, 2021, CHEMOSPHERE, V263, DOI 10.1016/j.chemosphere.2020.127894
   Xie GL, 2021, CHEMOSPHERE, V283, DOI 10.1016/j.chemosphere.2021.131169
   Xue T, 2019, ENVIRON INT, V129, P430, DOI 10.1016/j.envint.2019.05.067
   Yang ZM, 2019, INT J BIOMETEOROL, V63, P29, DOI 10.1007/s00484-018-1635-y
   Yap J, 2019, ENVIRON HEALTH-GLOB, V18, DOI 10.1186/s12940-019-0476-4
   Ye BM, 2003, ATMOS ENVIRON, V37, P499, DOI 10.1016/S1352-2310(02)00918-4
   Yin H, 2021, LANCET PLANET HEALTH, V5, pE356, DOI 10.1016/S2542-5196(21)00131-5
   Zafeiratou S, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145383
   Zhang SX, 2021, ENVIRON RES, V195, DOI 10.1016/j.envres.2020.110318
   Zhang WX, 2021, ONE EARTH, V4, P1602, DOI 10.1016/j.oneear.2021.10.013
   Zhang Y, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105921
   Zhao PS, 2013, ATMOS CHEM PHYS, V13, P4631, DOI 10.5194/acp-13-4631-2013
   Zhao Q, 2018, REV EC RES, P74
   Zhao ZW, 2020, POPUL DEV REV, V46, P643, DOI 10.1111/padr.12370
   Zhong LS, 2019, J GEOGR SCI, V29, P2085, DOI 10.1007/s11442-019-1706-y
NR 69
TC 1
Z9 1
U1 5
U2 46
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-2565
J9 FRONT PUBLIC HEALTH
JI Front. Public Health
PD JAN 6
PY 2023
VL 10
AR 1036272
DI 10.3389/fpubh.2022.1036272
PG 13
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 7X0HM
UT WOS:000913885900001
PM 36684965
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Campôa, J
   Puhlick, J
AF Campoa, Joao
   Puhlick, Joshua
TI Influence of climate fluctuations on<i> Pinus</i><i> palustris</i>
   growth and drought resilience
SO FOREST ECOSYSTEMS
LA English
DT Article
DE Longleaf pine; Slash pine; Pinus elliottii; Climate change;
   Dendrochronology; Dendroclimatology; Forest disturbances
ID LONGLEAF PINE; CARBON-DIOXIDE; RESPONSES; BIODIVERSITY; RESTORATION;
   ELLIOTTII; ECOSYSTEM; GRADIENT; PINASTER; CANOPY
AB The longleaf pine (Pinus palustris Mill.) ecosystem is an endangered ecosystem in the southeastern USA, and efforts to restore the species are ongoing. However, in recent decades, the region has experienced drastic fluctuations between wet and dry growing season conditions from year to year, and it is not fully understood how these fluctuations have influenced the growth of P. palustris. To address this topic, we cored P. palustris trees in woodlands of southwest Georgia and used dendrochronology techniques to determine how climate fluctuations have influenced the growth and drought resilience of P. palustris. We also cored slash pine (Pinus elliottii Engelm.) trees in the same woodlands to compare growth between species. While P. palustris growth was less impacted by adverse climate conditions compared to P. elliottii, the strength of correlations between P. palustris growth and temperature, precipitation, and Palmer Drought Severity Index (PDSI) changed over time. In recent decades, climate conditions during the growing season became more influential on P. palustris growth than the previous year's conditions. This is concerning given that drought severity during the growing season has been increasing. Our results also indicate that P. palustris was less resilient to droughts during the 2000s and 2010s than to those of the 1950s. Under this new climate paradigm, our results suggest that P. palustris might be more susceptible to growth reductions and less resistant to droughts than once expected. This work highlights the importance of understanding the impact of novel climate conditions on P. palustris and has implications for restoration efforts, such as using silvicultural treatments that reduce tree vulnerability to drought (e.g., thinning) and promote other climate-adapted species in mixture with P. palustris.
C1 [Campoa, Joao] NOVA Univ Lisbon, CHANGE Global Change & Sustainabil Inst, CENSE Ctr Environm & Sustainabil Res, NOVA Sch Sci & Technol,Dept Environm Sci & Engn, Campus Caparica, P-2829516 Caparica, Portugal.
   [Puhlick, Joshua] Jones Ctr Ichauway, 3988 Jones Ctr Dr, Newton, GA 39870 USA.
C3 Universidade Nova de Lisboa
RP Puhlick, J (corresponding author), Jones Ctr Ichauway, 3988 Jones Ctr Dr, Newton, GA 39870 USA.
EM joshua.puhlick@jonesctr.org
RI Campôa, João/AAC-1148-2022
OI Campoa, Joao/0000-0002-5900-7085
FU Portuguese Foundation for Science and Technology (FCT); Fulbright grant;
   FCT; Jones Center at Ichauway;  [2021.05104.BD]
FX We are thankful to Avery Holbrook, Ian Goldberg, Jacob Mobley, and
   Graham Edwards for assistance with fi eldwork. We acknowledge Jean Brock
   for the help with GIS analysis and Kier Klepzig and Nicole Zampieri for
   their discussions about the research. J. Campoa was funded through a PhD
   scholarship (2021.05104.BD) funded by the Portuguese Foundation for
   Science and Technology (FCT) and a Fulbright grant with the support of
   FCT. This research was also supported by The Jones Center at Ichauway.
CR Alavalapati JRR, 2002, ECOL ECON, V40, P411, DOI 10.1016/S0921-8009(02)00012-5
   Anderegg WRL, 2015, SCIENCE, V349, P528, DOI 10.1126/science.aab1833
   Au TF, 2022, NAT CLIM CHANGE, V12, P1168, DOI 10.1038/s41558-022-01528-w
   Bhuta AAR, 2009, TREE-RING RES, V65, P105, DOI 10.3959/2008-17.1
   Bose AK, 2020, GLOBAL CHANGE BIOL, V26, P4521, DOI 10.1111/gcb.15153
   Brockerhoff EG, 2017, BIODIVERS CONSERV, V26, P3005, DOI 10.1007/s10531-017-1453-2
   Bunn AG, 2008, DENDROCHRONOLOGIA, V26, P115, DOI 10.1016/j.dendro.2008.01.002
   Caminero L, 2018, DENDROCHRONOLOGIA, V48, P20, DOI 10.1016/j.dendro.2018.01.006
   Campelo F, 2012, DENDROCHRONOLOGIA, V30, P57, DOI 10.1016/j.dendro.2011.01.010
   Case MJ, 2021, FOREST ECOL MANAG, V482, DOI 10.1016/j.foreco.2020.118886
   CHAPIN FS, 1993, AM NAT, V142, pS78, DOI 10.1086/285524
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   Clark KL, 1999, ECOL APPL, V9, P936, DOI 10.1890/1051-0761(1999)009[0936:ECONEO]2.0.CO;2
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Deslauriers A, 2016, PLANT PHYSIOL, V170, P2072, DOI 10.1104/pp.15.01525
   Foster TE, 2001, CAN J FOREST RES, V31, P1661, DOI 10.1139/cjfr-31-10-1661
   Frost C, 2006, SPRINGER SER ENV MAN, P9
   Gazol A, 2018, GLOBAL CHANGE BIOL, V24, P2143, DOI 10.1111/gcb.14082
   Gonzalez-Benecke CA, 2011, CAN J FOREST RES, V41, P509, DOI 10.1139/X10-230
   Goode JD, 2019, SOUTHEAST NAT, V18, P99, DOI 10.1656/058.018.0107
   Granda E, 2014, OECOLOGIA, V174, P307, DOI 10.1007/s00442-013-2742-4
   Harley GL, 2023, PROG PHYS GEOG, V47, P570, DOI 10.1177/03091333221147652
   Henderson JP, 2009, DENDROCHRONOLOGIA, V27, P31, DOI 10.1016/j.dendro.2008.08.001
   Holland AM, 2019, J NAT CONSERV, V47, P38, DOI 10.1016/j.jnc.2018.11.006
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Camarero JJ, 2022, SCI TOTAL ENVIRON, V819, DOI 10.1016/j.scitotenv.2022.153041
   Klesse S, 2021, DENDROCHRONOLOGIA, V65, DOI 10.1016/j.dendro.2020.125786
   Kloeppel B.D., 2003, Climate Variability and Ecosystem Response at Long Term Ecological Research Sites, P43, DOI 10.1093/oso/9780195150599.003.0009
   Klos RJ, 2009, ECOL APPL, V19, P699, DOI 10.1890/08-0330.1
   Konrad II., 2013, CLIMATE SE US, P8, DOI [DOI 10.5822/978-1-61091-509-0_2, 10.5822/978-1-61091-509-0_2]
   Kush JS, 2004, ENVIRON MANAGE, V33, pS139, DOI 10.1007/s00267-003-9124-3
   Lloret F, 2011, OIKOS, V120, P1909, DOI 10.1111/j.1600-0706.2011.19372.x
   McIntyre R. K., 2018, General Technical Report - Southern Research Station, USDA Forest Service, P297
   Meldahl RS, 1999, TREE RING ANALYSIS: BIOLOGICAL, METHODOLOGIAL AND ENVIRONMENTAL ASPECTS, P265
   Menezes-Silva PE, 2019, ECOL EVOL, V9, P11979, DOI 10.1002/ece3.5663
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Mitchell TJ, 2019, TREES-STRUCT FUNCT, V33, P615, DOI 10.1007/s00468-019-01823-8
   Nabais C, 2014, FORESTRY, V87, P598, DOI 10.1093/forestry/cpu021
   National Oceanic and Atmospheric Administration National Centers for Environmental Information, 2023, Climate at a glance: divisional time series
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Pederson N, 2008, FOREST ECOL MANAG, V254, P85, DOI 10.1016/j.foreco.2007.07.030
   Peters MP, 2015, FOREST ECOL MANAG, V345, P56, DOI 10.1016/j.foreco.2015.02.022
   PRISM Climate Group, 2023, Time Series Values for Individual Locations
   Puhlick JJ, 2022, FOREST ECOL MANAG, V520, DOI 10.1016/j.foreco.2022.120421
   Reich PB, 2003, INT J PLANT SCI, V164, pS143, DOI 10.1086/374368
   Roces-Díaz JV, 2021, FOREST ECOL MANAG, V480, DOI 10.1016/j.foreco.2020.118623
   Rutledge BT., 2022, PRESCRIBED FIRE JONE, P29, DOI [10.58497/50713, DOI 10.58497/50713]
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Soulé PT, 2021, TREES-STRUCT FUNCT, V35, P1065, DOI 10.1007/s00468-021-02093-z
   Stambaugh MC, 2021, DENDROCHRONOLOGIA, V65, DOI 10.1016/j.dendro.2020.125801
   Stevens DL, 1997, ENVIRONMETRICS, V8, P167, DOI 10.1002/(SICI)1099-095X(199705)8:3<167::AID-ENV239>3.0.CO;2-D
   Willis JL, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.684087
   Zampieri NE, 2022, FOREST ECOL MANAG, V526, DOI 10.1016/j.foreco.2022.120568
   Zang C, 2015, ECOGRAPHY, V38, P431, DOI 10.1111/ecog.01335
NR 55
TC 0
Z9 0
U1 4
U2 10
PU KEAI PUBLISHING LTD
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG
   DISTRICT 100009, PEOPLES R CHINA
SN 2095-6355
EI 2197-5620
J9 FOR ECOSYST
JI For. Ecosyst.
PY 2023
VL 10
AR 100151
DI 10.1016/j.fecs.2023.100151
PG 9
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA CI5J0
UT WOS:001124633100001
OA gold
DA 2025-01-10
ER

PT J
AU Lopez-Cantu, T
   Webber, MK
   Samaras, C
AF Lopez-Cantu, Tania
   Webber, Marissa K.
   Samaras, Constantine
TI Incorporating uncertainty from downscaled rainfall projections into
   climate resilience planning in US cities
SO ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY
LA English
DT Article
DE climate change; adaptation plans; resilience; downscaled climate data;
   extreme precipitation; cities; uncertainty
ID CHANGE ADAPTATION; INFORMATION; JUSTICE; EQUITY; INFRASTRUCTURE;
   MANAGEMENT; IMPACTS; CURVES; TRENDS; RISK
AB The planning, design, and maintenance of stormwater infrastructure must be informed by changing rainfall patterns due to climate change. However, there is little consensus on how future climate information should be used, or how uncertainties introduced by use of different methods and datasets should be characterized or managed. These uncertainties exacerbate existing challenges to using climate information on local or municipal scales. Here we analyze major cities in the U.S., 48 of which developed climate adaptation and resilience plans. Given the prevalence of depth duration frequency (DDF) curves for planning infrastructure for rainfall, we then assessed the underlying climate information used in these 48 plans to show how DDF curves used for resilience planning and the resulting outcomes can be affected by stakeholders' methodological choices and datasets. For rainfall extremes, many resilience plans varied by trend detection method, data preprocessing steps, and size of study area, and all used only one of the available downscaled climate projection datasets. We evaluate the implications of uncertainties across five available climate datasets and show the level of climate resilience to extreme rainfall depends on the dataset selected for each city. We produce risk matrices for a broader set of 77 U.S. cities to highlight how local resilience strategies and decisions are sensitive to the climate projection dataset used in local adaptation plans. To help overcome barriers to using climate information, we provide an open dataset of future daily rainfall values for 2-, 5-, 10-, 25-, 50-, and 100 years annual recurrence intervals for 77 cities and compare resilience outcomes across available climate datasets that each city can use for comparison and for robust resilience planning. Because of uncertainty in climate projections, our results highlight the importance of no-regret and flexible resilience strategies that can be adjusted with new climate information.
C1 [Lopez-Cantu, Tania; Webber, Marissa K.; Samaras, Constantine] Carnegie Mellon Univ, Civil & Environm Engn, 5000 Forbes Ave, Pittsburgh, PA 15217 USA.
   [Lopez-Cantu, Tania] Esri, 380 New York St, Redlands, CA 92373 USA.
C3 Carnegie Mellon University; Environmental Systems Research Institute,
   Inc. (ESRI)
RP Samaras, C (corresponding author), Carnegie Mellon Univ, Civil & Environm Engn, 5000 Forbes Ave, Pittsburgh, PA 15217 USA.
EM csamaras@cmu.edu
OI Samaras, Constantine/0000-0002-8803-2845; Lopez,
   Tania/0000-0002-9074-7057; Webber, Marissa/0000-0002-8035-732X
FU National Science Foundation [CMMI 1635638/1635686]; UCAR Next Generation
   Fellowship
FX This research was partially supported by the National Science Foundation
   (NSF Collaborative Award No. CMMI 1635638/1635686) and the UCAR Next
   Generation Fellowship. UCAR and NCAR are sponsored by the National
   Science Foundation. Student support was also provided by Consejo
   Nacional de Ciencia y Tecnologia (CONACYT).
CR Abadie LM, 2020, OCEAN COAST MANAGE, V193, DOI 10.1016/j.ocecoaman.2020.105249
   Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Bartos MD, 2015, NAT CLIM CHANGE, V5, P748, DOI [10.1038/nclimate2648, 10.1038/NCLIMATE2648]
   Beauchamp E, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb157
   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
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Chester M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00016-y
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Coles S., 2001, INTRO STAT MODELING, DOI [DOI 10.1007/978-1-4471-3675-0, 10.1007/978-1-4471-3675-0]
   Collins TW, 2019, ENVIRON RES, V179, DOI 10.1016/j.envres.2019.108772
   Cook LM, 2020, CLIMATIC CHANGE, V159, P289, DOI 10.1007/s10584-019-02649-6
   Cook LM, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000382
   DeGaetano Arthur T., 2017, Climate Services, V5, P23, DOI 10.1016/j.cliser.2017.03.003
   Ekstrom Marie, 2016, Climate Services, V4, P13, DOI 10.1016/j.cliser.2016.09.003
   Emanuel K, 2017, P NATL ACAD SCI USA, V114, P12681, DOI 10.1073/pnas.1716222114
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fadhel S, 2017, J HYDROL, V547, P600, DOI 10.1016/j.jhydrol.2017.02.013
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Freedman A., 2013, NEW YORK LAUNCHES 19
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Galford GL, 2016, CLIMATIC CHANGE, V138, P383, DOI 10.1007/s10584-016-1756-4
   Gardiner EP, 2019, CLIMATIC CHANGE, V153, P477, DOI 10.1007/s10584-018-2216-0
   Georgetown Climate Center, 2020, GEORG CLIM CTR LEAD
   Hall JW, 2012, RISK ANAL, V32, P1657, DOI 10.1111/j.1539-6924.2012.01802.x
   Herman JD, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025502
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   Hoerling M, 2016, J CLIMATE, V29, P2313, DOI 10.1175/JCLI-D-15-0441.1
   Hosking J. R. M., 2005, REGIONAL FREQUENCY A
   Kirchhoff CJ, 2019, B AM METEOROL SOC, V100, P2147, DOI 10.1175/BAMS-D-18-0138.1
   Kirshen P, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000443
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Kunkel KE, 2013, B AM METEOROL SOC, V94, P499, DOI 10.1175/BAMS-D-11-00262.1
   Kuo CC, 2015, CLIMATIC CHANGE, V130, P115, DOI 10.1007/s10584-015-1347-9
   Lai YC, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000685
   Lai YC, 2019, J CLIMATE, V32, P4299, DOI 10.1175/JCLI-D-18-0630.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lieberman-Cribbin W, 2021, J EXPO SCI ENV EPID, V31, P804, DOI 10.1038/s41370-020-0230-6
   Lopez-Cantu T., 2020, COMPILATION US CITY, DOI [10.1184/R1/13125473.v2, DOI 10.1184/R1/13125473.V2]
   Lopez-Cantu T., 2020, FUTURE DEPTH DURATIO, DOI [10.1184/R1/13330805, DOI 10.1184/R1/13330805]
   Lopez-Cantu T, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086797
   Lopez-Cantu T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac696
   Mailhot A, 2010, J WATER RES PLAN MAN, V136, P201, DOI 10.1061/(ASCE)WR.1943-5452.0000023
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Markolf SA, 2021, CITIES, V109, DOI 10.1016/j.cities.2020.102981
   Martinich J, 2019, NAT CLIM CHANGE, V9, P397, DOI 10.1038/s41558-019-0444-6
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mearns Linda O, 2018, CISL RDA
   Moss RH, 2019, B AM METEOROL SOC, V100, P897, DOI 10.1175/BAMS-D-19-0130.1
   Pelling M, 2019, NATURE, V569, P327, DOI 10.1038/d41586-019-01497-9
   Perica S., 2013, NOAA Atlas 14: Precipitation-frequency atlas of the United States
   Perica S., 2013, NOAA Atlas 14: Precipitation-Frequency Atlas of the United States, V9
   Pierce DW, 2014, J HYDROMETEOROL, V15, P2558, DOI 10.1175/JHM-D-14-0082.1
   Piggott-McKellar A E., 2020, Managing climate change adaptation in the Pacific region, P69
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Read LK, 2015, WATER RESOUR RES, V51, P6381, DOI 10.1002/2015WR017089
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Rosner A, 2014, WATER RESOUR RES, V50, P1928, DOI 10.1002/2013WR014561
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Stoner AMK, 2019, TRANSPORT RES REC, V2673, P110, DOI 10.1177/0361198118821877
   Switzman H, 2017, J HYDROL ENG, V22, DOI 10.1061/(ASCE)HE.1943-5584.0001561
   Testik F.Y., 2013, Geophysical Monograph Series
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   Underwood BS, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000567
   Underwood BS, 2017, NAT CLIM CHANGE, V7, P704, DOI [10.1038/NCLIMATE3390, 10.1038/nclimate3390]
   Urich C, 2014, WATER RES, V66, P374, DOI 10.1016/j.watres.2014.08.020
   US Census Bureau, 2019, SUBC TOT RES POP EST
   Vardy M, 2017, ANNU REV ENV RESOUR, V42, P55, DOI 10.1146/annurev-environ-102016-061053
   Wilson SM, 2010, ENVIRON JUSTICE, V3, P13, DOI 10.1089/env.2009.0035
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
   Woodruff SC, 2016, CLIMATIC CHANGE, V139, P445, DOI 10.1007/s10584-016-1822-y
   Wright DB, 2021, B AM METEOROL SOC, V102, pE808, DOI 10.1175/BAMS-D-20-0267.1
   Wright DB, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124816
   Wright DB, 2019, GEOPHYS RES LETT, V46, P8144, DOI 10.1029/2019GL083235
   Wu S, 2019, WATER-SUI, V11, DOI 10.3390/w11061279
NR 80
TC 1
Z9 1
U1 1
U2 2
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
EI 2634-4505
J9 ENVIRON RES-INFRASTR
JI Environ. Res.-Infrastruct. Sustain.
PD DEC 1
PY 2022
VL 2
IS 4
AR 045006
DI 10.1088/2634-4505/ac8a6c
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Q9BH0
UT WOS:001060393000001
OA gold
DA 2025-01-10
ER

PT J
AU de Silva, SS
   Abeysingha, NS
   Nirmanee, KGS
   Pathirage, PDSS
   Mallawatantri, A
AF de Silva, S. S.
   Abeysingha, N. S.
   Nirmanee, K. G. S.
   Pathirage, P. D. S. Sandamali
   Mallawatantri, A.
TI Effect of land use-land cover and projected rainfall on soil erosion
   intensities of a tropical catchment in Sri Lanka
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
LA English
DT Article
DE Climate change; Mahaweli River; Projected rainfall; RUSLE model; Soil
   erosion
ID CLIMATE-CHANGE; RIVER-BASIN; RUSLE MODEL; IMPACT; RUNOFF; RATES; GIS
AB Soil erosion has become a severe environmental issue due to its detrimental effects on land productivity, agricultural production, hydropower generation and water quality. Land use-land cover and rainfall are two factors affecting soil erosion. This study estimated the spatial variation of soil erosion in the Nalanda Oya catchment in Sri Lanka using Revised Universal Soil Loss Equation (RUSLE) model supported with a GIS. The study assesses the changes in erosion with time in relation to the changes of land use-land cover and climate change impacted rainfall. The findings of the study would help on the land management to minimize erosion potential under changing climate. The mean annual soil loss value of the catchment is 2.99 t ha(-1) yr(-1), and the expected changes in land use-land cover and projected rainfall could increase the mean annual soil loss in 2030's to be 3.43 t ha(-1) yr(-1) and 3.66 t ha(-1) yr(-1) under Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios, respectively. The results highlighted that about 18.78% of the catchment is under moderate to high (> 5 t ha(-1) yr(-1)) erosion risk which may increase to about 20.83% to 21.58% in 2030s, for RCP 4.5 and RCP 8.5, respectively. About 32% of the land area would show an increase in soil erosion mostly due to the climate change impacted changes in rainfall. Improving the land use to mitigate the increase in potential erosion may require reforestation and conservation practices, as a climate adaptation measure to protect sensitive ecosystems and ensure continued ecosystem services.
C1 [de Silva, S. S.; Abeysingha, N. S.; Nirmanee, K. G. S.] Rajarata Univ Sri Lanka, Fac Agr, Dept Agr Engn & Soil Sci, Anuradhapura, Sri Lanka.
   [Pathirage, P. D. S. Sandamali; Mallawatantri, A.] Int Union Conservat Nat, Sri Lanka Off, Colombo, Sri Lanka.
C3 Rajarata University of Sri Lanka
RP Abeysingha, NS (corresponding author), Rajarata Univ Sri Lanka, Fac Agr, Dept Agr Engn & Soil Sci, Anuradhapura, Sri Lanka.
EM nabeysingha@gmail.com
RI Abeysingha, Nimal/AAE-5162-2019
CR Abeysingha N. S., 2022, Tropical Agricultural Research and Extension, V25, P1, DOI 10.4038/tare.v25i1.5584
   Alkharabsheh MM, 2013, PROCEDIA ENVIRON SCI, V19, P912, DOI 10.1016/j.proenv.2013.06.101
   Bangash RF, 2013, SCI TOTAL ENVIRON, V458, P246, DOI 10.1016/j.scitotenv.2013.04.025
   Beskow S, 2009, CATENA, V79, P49, DOI 10.1016/j.catena.2009.05.010
   Biswas SS, 2015, MODEL EARTH SYST ENV, V1, DOI 10.1007/s40808-015-0040-3
   Chaturani D, 2019, FLASH FLOOD MOUNTAIN
   Chokkavarapu N, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1764-x
   Deegala DMBM, 2022, SUGAR TECH, V24, P1801, DOI 10.1007/s12355-022-01155-x
   Dharmasena PB, 2014, ACADEMIA
   Dias B. A. R. H., 2019, Journal of Environmental Professionals Sri Lanka, V8, P39, DOI 10.4038/jepsl.v8i1.7875
   Duulatov E, 2019, WATER-SUI, V11, DOI 10.3390/w11050897
   Eckstein D., 2019, GLOBAL CLIMATE RISK
   Eekhout JPC, 2022, EARTH-SCI REV, V226, DOI 10.1016/j.earscirev.2022.103921
   Elshamy ME, 2009, HYDROL EARTH SYST SC, V13, P551, DOI 10.5194/hess-13-551-2009
   Fayas CM, 2019, INT SOIL WATER CONSE, V7, P130, DOI 10.1016/j.iswcr.2019.01.003
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Ganasri BP, 2016, GEOSCI FRONT, V7, P953, DOI 10.1016/j.gsf.2015.10.007
   García-Ruiz JM, 2010, CATENA, V81, P1, DOI 10.1016/j.catena.2010.01.001
   Herath H., 2018, Sri Lanka Journal of Meteorology, P3
   Jayasekara M. J. P. T. M., 2018, Tropical Agricultural Research, V29, P135
   Joshua WD, 1977, SOIL EROSIVE POWER R
   Maeda EE, 2010, GEOMORPHOLOGY, V123, P279, DOI 10.1016/j.geomorph.2010.07.019
   MCCOOL DK, 1987, T ASAE, V30, P1387
   Mortlock D F, 2011, SOIL HYDROLOGY LAND
   Munasinghe MAK, 2001, ANN DEP AGR, V3, P148
   Nampak H, 2018, LAND DEGRAD DEV, V29, P3440, DOI 10.1002/ldr.3112
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   Owuor S.O., 2016, ECOL PROCESS, V5, P16, DOI DOI 10.1186/s13717-016-0060-6
   Panagos P, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04282-8
   Pandey A, 2007, WATER RESOUR MANAG, V21, P729, DOI 10.1007/s11269-006-9061-z
   Panditharathne DLD, 2019, APPL ENVIRON SOIL SC, V2019, DOI 10.1155/2019/4037379
   Parsons AJ, 2006, CATENA, V67, P68, DOI 10.1016/j.catena.2006.03.002
   Premalal, 1986, DEV ER MAP SRI UNPUB
   Ran QH, 2012, J HYDROL, V424, P99, DOI 10.1016/j.jhydrol.2011.12.035
   Renard K. G., 1997, U. S. 14 Appl. Environ. Soil Sci. Department of Agriculture, P11
   RENARD KG, 1994, J HYDROL, V157, P287, DOI 10.1016/0022-1694(94)90110-4
   Römkens MJM, 2002, CATENA, V46, P103, DOI 10.1016/S0341-8162(01)00161-8
   Roose EJ., 1976, SOIL EROSION PREDICT, P60
   Schulz L, 2017, HYDROLOG SCI J, V62, P2369, DOI 10.1080/02626667.2017.1381965
   Selvarajah H, 2021, WATER-SUI, V13, DOI 10.3390/w13091218
   Senanayake S, 2022, J ENVIRON MANAGE, V308, DOI 10.1016/j.jenvman.2022.114589
   Udayakumar EPN, 2010, INT J SEDIMENT RES, V25, P323, DOI 10.1016/S1001-6279(11)60001-2
   Wang B, 2017, EARTH SURF PROC LAND, V42, P1833, DOI 10.1002/esp.4140
   Weerasinghe V.P.A., 2015, ARCGIS US C SLAUC 20
   Wijesundara NC, 2018, MODEL EARTH SYST ENV, V4, P251, DOI 10.1007/s40808-018-0419-z
   Wischmeier W. H., 1978, U. S. Department of Agriculture, Agriculture Handbook
   Zhang XC, 2012, SOIL SCI SOC AM J, V76, P1789, DOI 10.2136/sssaj2012.0085
NR 47
TC 7
Z9 7
U1 5
U2 14
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1735-1472
EI 1735-2630
J9 INT J ENVIRON SCI TE
JI Int. J. Environ. Sci. Technol.
PD AUG
PY 2023
VL 20
IS 8
BP 9173
EP 9188
DI 10.1007/s13762-022-04606-w
EA NOV 2022
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA M3PQ4
UT WOS:000877407500003
DA 2025-01-10
ER

PT J
AU Brodie, S
   Smith, JA
   Muhling, BA
   Barnett, LAK
   Carroll, G
   Fiedler, P
   Bograd, SJ
   Hazen, EL
   Jacox, MG
   Andrews, KS
   Barnes, CL
   Crozier, LG
   Fiechter, J
   Fredston, A
   Haltuch, MA
   Harvey, CJ
   Holmes, E
   Karp, MA
   Liu, OR
   Malick, MJ
   Buil, MP
   Richerson, K
   Rooper, CN
   Samhouri, J
   Seary, R
   Selden, RL
   Thompson, AR
   Tommasi, D
   Ward, EJ
   Kaplan, IC
AF Brodie, Stephanie
   Smith, James A.
   Muhling, Barbara A.
   Barnett, Lewis A. K.
   Carroll, Gemma
   Fiedler, Paul
   Bograd, Steven J.
   Hazen, Elliott L.
   Jacox, Michael G.
   Andrews, Kelly S.
   Barnes, Cheryl L.
   Crozier, Lisa G.
   Fiechter, Jerome
   Fredston, Alexa
   Haltuch, Melissa A.
   Harvey, Chris J.
   Holmes, Elizabeth
   Karp, Melissa A.
   Liu, Owen R.
   Malick, Michael J.
   Buil, Mercedes Pozo
   Richerson, Kate
   Rooper, Christopher N.
   Samhouri, Jameal
   Seary, Rachel
   Selden, Rebecca L.
   Thompson, Andrew R.
   Tommasi, Desiree
   Ward, Eric J.
   Kaplan, Isaac C.
TI Recommendations for quantifying and reducing uncertainty in climate
   projections of species distributions
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE artificial intelligence; climate change; earth system models;
   extrapolation; fisheries; machine learning; species distribution models;
   virtual species
ID DISTRIBUTION MODELS; MARINE; RESPONSES; PREDATOR
AB Projecting the future distributions of commercially and ecologically important species has become a critical approach for ecosystem managers to strategically anticipate change, but large uncertainties in projections limit climate adaptation planning. Although distribution projections are primarily used to understand the scope of potential change-rather than accurately predict specific outcomes-it is nonetheless essential to understand where and why projections can give implausible results and to identify which processes contribute to uncertainty. Here, we use a series of simulated species distributions, an ensemble of 252 species distribution models, and an ensemble of three regional ocean climate projections, to isolate the influences of uncertainty from earth system model spread and from ecological modeling. The simulations encompass marine species with different functional traits and ecological preferences to more broadly address resource manager and fishery stakeholder needs, and provide a simulated true state with which to evaluate projections. We present our results relative to the degree of environmental extrapolation from historical conditions, which helps facilitate interpretation by ecological modelers working in diverse systems. We found uncertainty associated with species distribution models can exceed uncertainty generated from diverging earth system models (up to 70% of total uncertainty by 2100), and that this result was consistent across species traits. Species distribution model uncertainty increased through time and was primarily related to the degree to which models extrapolated into novel environmental conditions but moderated by how well models captured the underlying dynamics driving species distributions. The predictive power of simulated species distribution models remained relatively high in the first 30 years of projections, in alignment with the time period in which stakeholders make strategic decisions based on climate information. By understanding sources of uncertainty, and how they change at different forecast horizons, we provide recommendations for projecting species distribution models under global climate change.
C1 [Brodie, Stephanie; Smith, James A.; Muhling, Barbara A.; Bograd, Steven J.; Hazen, Elliott L.; Jacox, Michael G.; Buil, Mercedes Pozo; Seary, Rachel; Tommasi, Desiree] Univ Calif Santa Cruz, Inst Marine Sci, Monterey, CA 95064 USA.
   [Brodie, Stephanie; Bograd, Steven J.; Hazen, Elliott L.; Jacox, Michael G.; Buil, Mercedes Pozo; Seary, Rachel] NOAA, Environm Res Div, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Monterey, CA USA.
   [Smith, James A.; Muhling, Barbara A.; Fiedler, Paul; Thompson, Andrew R.; Tommasi, Desiree] NOAA, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, San Diego, CA USA.
   [Barnett, Lewis A. K.] NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
   [Carroll, Gemma] Environm Def Fund, Seattle, WA USA.
   [Jacox, Michael G.] NOAA, Phys Sci Lab, Earth Syst Res Labs, Boulder, CO USA.
   [Andrews, Kelly S.; Crozier, Lisa G.; Haltuch, Melissa A.; Harvey, Chris J.; Holmes, Elizabeth; Liu, Owen R.; Malick, Michael J.; Richerson, Kate; Samhouri, Jameal; Ward, Eric J.; Kaplan, Isaac C.] NOAA, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
   [Barnes, Cheryl L.] Univ Washington, Cooperat Inst Climate Ocean & Ecosyst Studies, Seattle, WA 98195 USA.
   [Fiechter, Jerome; Fredston, Alexa] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
   [Fredston, Alexa] Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ USA.
   [Karp, Melissa A.] NOAA, ECS Tech, Fisheries Off Sci & Technol, Silver Spring, MD USA.
   [Rooper, Christopher N.] Fisheries & Oceans Canada, Pacific Biol Stn, Nanaimo, BC, Canada.
   [Selden, Rebecca L.] Wellesley Coll, Dept Biol Sci, Wellesley, MA 02181 USA.
C3 University of California System; University of California Santa Cruz;
   National Oceanic Atmospheric Admin (NOAA) - USA; National Oceanic
   Atmospheric Admin (NOAA) - USA; National Oceanic Atmospheric Admin
   (NOAA) - USA; National Oceanic Atmospheric Admin (NOAA) - USA; National
   Oceanic Atmospheric Admin (NOAA) - USA; University of Washington;
   University of Washington Seattle; University of California System;
   University of California Santa Cruz; Rutgers University System; Rutgers
   University New Brunswick; National Oceanic Atmospheric Admin (NOAA) -
   USA; Fisheries & Oceans Canada; Wellesley College
RP Brodie, S (corresponding author), Univ Calif Santa Cruz, Inst Marine Sci, Monterey, CA 95064 USA.
EM sbrodie@ucsc.edu
RI Haltuch, Melissa/W-7136-2019; Buil, Mercedes/O-3335-2017; Fiechter,
   Jerome/AAM-7786-2020; Tommasi, Desiree/M-1668-2015; Crozier,
   Lisa/E-2248-2012; Bograd, Steven/AAA-4824-2021; Fiedler,
   Petr/LKJ-4414-2024; Carroll, Gemma/K-3203-2014; Hazen,
   Elliott/G-4149-2014
OI Muhling, Barbara/0000-0002-4555-6382; Crozier, Lisa/0000-0001-7744-9525;
   Carroll, Gemma/0000-0001-7776-0946; Barnett, Lewis/0000-0002-9381-8375;
   Andrews, Kelly/0000-0001-7734-3800; Pozo Buil,
   Mercedes/0000-0003-3638-271X; Jacox, Michael/0000-0003-3684-0717; Hazen,
   Elliott/0000-0002-0412-7178; Holmes, Elizabeth/0000-0001-9128-8393;
   Fredston, Alexa/0000-0002-5449-7054; Malick, Michael/0000-0002-8376-5476
FU Climate Program Office [NA17OAR4310108, NA17OAR4310268]; National
   Aeronautics and Space Administration [80NSSC19K0187]
FX Climate Program Office, Grant/Award Number: NA17OAR4310108 and
   NA17OAR4310268; National Aeronautics and Space Administration,
   Grant/Award Number: 80NSSC19K0187
CR Barnes CL, 2022, ECOGRAPHY, V2022, DOI 10.1111/ecog.06189
   Barnett LAK, 2021, ECOGRAPHY, V44, P427, DOI 10.1111/ecog.05176
   Beaumont LJ, 2008, ECOL LETT, V11, P1135, DOI 10.1111/j.1461-0248.2008.01231.x
   Bouchet PJ, 2020, METHODS ECOL EVOL, V11, P1464, DOI 10.1111/2041-210X.13469
   Briscoe NJ, 2019, ECOL LETT, V22, P1940, DOI 10.1111/ele.13348
   Brodie S, 2018, ICES J MAR SCI, V75, P1573, DOI 10.1093/icesjms/fsy057
   Brodie S, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00219
   Brodie SJ, 2020, ECOGRAPHY, V43, P11, DOI 10.1111/ecog.04707
   de Mesquita CPB, 2021, J ECOL, V109, P1491, DOI 10.1111/1365-2745.13572
   Buil MP, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.612874
   Busch DS, 2016, MAR POLICY, V74, P58, DOI 10.1016/j.marpol.2016.09.001
   Cheung WWL, 2016, ICES J MAR SCI, V73, P1283, DOI 10.1093/icesjms/fsv250
   Citores L, 2020, ECOL MODEL, V418, DOI 10.1016/j.ecolmodel.2019.108926
   Crozier LG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217711
   Drenkard EJ, 2021, ICES J MAR SCI, V78, P1969, DOI 10.1093/icesjms/fsab100
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Evans MEK, 2016, TRENDS ECOL EVOL, V31, P860, DOI 10.1016/j.tree.2016.08.005
   Fiechter J, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.685241
   Fiechter J, 2018, GEOPHYS RES LETT, V45, P3238, DOI 10.1002/2017GL076839
   Fordham DA, 2018, GLOBAL CHANGE BIOL, V24, P1371, DOI 10.1111/gcb.13932
   Fulton EA, 2011, FISH FISH, V12, P171, DOI 10.1111/j.1467-2979.2011.00412.x
   Gardner MW, 1998, ATMOS ENVIRON, V32, P2627, DOI 10.1016/S1352-2310(97)00447-0
   Goodman MC, 2022, ECOGRAPHY, V2022, DOI 10.1111/ecog.06084
   Grimmett L, 2021, ECOGRAPHY, V44, P753, DOI 10.1111/ecog.05555
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Haltuch MelissaA., 2019, Status of the sablefish stock in U.S. waters in 2019
   Hollowed AB, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00775
   Holsman KK, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18300-3
   Holsman KK, 2019, ICES J MAR SCI, V76, P1368, DOI 10.1093/icesjms/fsz031
   Jaatinen K, 2021, J ANIM ECOL, V90, P562, DOI 10.1111/1365-2656.13377
   Karp MA, 2019, ICES J MAR SCI, V76, P1305, DOI 10.1093/icesjms/fsz048
   Kishi MJ, 2007, ECOL MODEL, V202, P12, DOI 10.1016/j.ecolmodel.2006.08.021
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Leeuwis RHJ, 2019, COMP BIOCHEM PHYS A, V231, P140, DOI 10.1016/j.cbpa.2019.02.004
   Lenoir J, 2020, NAT ECOL EVOL, V4, P1044, DOI 10.1038/s41559-020-1198-2
   Leroy B, 2016, ECOGRAPHY, V39, P599, DOI 10.1111/ecog.01388
   Link J. S., 2015, NMFSFSPO155 NOAA, P70
   Liu OR, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.656023
   Malick MJ, 2020, MAR ECOL PROG SER, V639, P185, DOI 10.3354/meps13286
   Meynard CN, 2019, ECOGRAPHY, V42, P2021, DOI 10.1111/ecog.04385
   Morley JW, 2020, ICES J MAR SCI, V77, P2118, DOI 10.1093/icesjms/fsaa103
   Muhling B, 2019, CAL COOP OCEAN FISH, V60, P79
   Muhling BA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00589
   Palacios-Abrantes J, 2022, GLOBAL CHANGE BIOL, V28, P2312, DOI 10.1111/gcb.16058
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Pinsky ML, 2019, NATURE, V569, P108, DOI 10.1038/s41586-019-1132-4
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Pirtle JL, 2019, DEEP-SEA RES PT II, V165, P303, DOI 10.1016/j.dsr2.2017.12.005
   Punt AE, 2016, ECOL MODEL, V337, P79, DOI 10.1016/j.ecolmodel.2016.06.004
   Reum JCP, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00124
   Riutort-Mayol G., 2020, PREPRINT
   Robinson NM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00421
   Santini L, 2021, DIVERS DISTRIB, V27, P1035, DOI 10.1111/ddi.13252
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Selden RL, 2020, ICES J MAR SCI, V77, P188, DOI 10.1093/icesjms/fsz211
   Smith J.A., 2022, PLoS Clim, V1, DOI 10.1371/journal.pclm.0000022
   Smith JA, 2021, FISH OCEANOGR, V30, P437, DOI 10.1111/fog.12529
   Stierhoff K. L., 2019, NMFSSWFSC613 US DEP, DOI [10.25923/nghv-7c40, DOI 10.25923/NGHV-7C40]
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Tekwa EW, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2021.2755
   Thuiller W, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09519-w
   Tittensor DP, 2021, NAT CLIM CHANGE, V11, P973, DOI 10.1038/s41558-021-01173-9
   Tolimieri N, 2018, FISH OCEANOGR, V27, P458, DOI 10.1111/fog.12266
   Tommasi D, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624161
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Warren DL, 2020, J BIOGEOGR, V47, P167, DOI 10.1111/jbi.13705
   Zurell D, 2016, GLOBAL CHANGE BIOL, V22, P2651, DOI 10.1111/gcb.13251
NR 68
TC 30
Z9 32
U1 7
U2 64
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD NOV
PY 2022
VL 28
IS 22
BP 6586
EP 6601
DI 10.1111/gcb.16371
EA AUG 2022
PG 16
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 5J0GL
UT WOS:000842172500001
PM 35978484
OA Green Published
DA 2025-01-10
ER

PT J
AU Lee, E
   Kim, G
AF Lee, Eunjoung
   Kim, Gunwoo
TI Analysis of Domestic and International Green Infrastructure Research
   Trends from the ESG Perspective in South Korea
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE ESG; green infrastructure; sustainability; systematic review
ID URBAN CLIMATE ADAPTATION; AIR-POLLUTION ABATEMENT; ECOSYSTEM SERVICES;
   CO-BENEFITS; ENVIRONMENTS; CITIES; FRAMEWORK; HEALTH; OPPORTUNITIES;
   BIODIVERSITY
AB Government-level ESG (environmental, social, and governance) institutionalization and active ESG activation in the private sector are being discussed for the first time this year in Korea, spurred by increased national interest since the COVID-19 pandemic crisis and the declaration of a carbon-neutral society by 2050, and ESG discussion in many fields is spreading rapidly. In addition, global awareness of the crisis caused by environmental pollution and natural disasters has highlighted the importance of green infrastructure (GI) as a new conceptual alternative to improve public value. Based on sustainability, which is a common goal of ESG and green infrastructure, this study aimed to examine the research targets and techniques of green infrastructure from the perspective of ESG. This study selected and analyzed 98 domestic and international academic journal papers published over the past 10 years in the Web of Science academic journal database literature collection. Focusing on the research subjects, the focus on green infrastructure, and research keywords, we examined the aspects of the green infrastructure plan that have been focused on from the ESG perspective and compared domestic and international research trends. In addition, implications for how each research topic is connected to the concept of ESG according to its function and purpose were derived. By examining the domestic and international research trends of green infrastructure from the ESG perspective, we identified the need for a wider range of research on the diversity and relationship between humans and the ecological environment; policies and systems; and technical research that does not focus only on a specific field. In this regard, we intend to increase the contribution to ESG management in the public sector through the establishment of green infrastructure plans and policies in the future, as they account for a large portion of public capital.
C1 [Lee, Eunjoung; Kim, Gunwoo] Hanyang Univ, Grad Sch Urban Studies, 222 Wangsimni Ro, Seoul 04763, South Korea.
C3 Hanyang University
RP Kim, G (corresponding author), Hanyang Univ, Grad Sch Urban Studies, 222 Wangsimni Ro, Seoul 04763, South Korea.
EM cocomo16@hanyang.ac.kr; gwkim1@hanyang.ac.kr
OI Kim, Gunwoo/0000-0001-6862-4061
CR Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahn D.J., 2021, J REG ASS ARCHIT I K, V23, P103
   Albert C, 2019, LANDSCAPE URBAN PLAN, V182, P12, DOI 10.1016/j.landurbplan.2018.10.003
   Allen WL III, 2012, ENVIRON PRAC, V14, P17, DOI 10.1017/S1466046611000469
   Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   [Anonymous], KOREA RURAL COMMUNIT
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's Natural Capital. COM (2013) 249 final
   Artmann M, 2019, ECOL INDIC, V96, P10, DOI 10.1016/j.ecolind.2017.07.001
   Barwise Y, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0115-3
   Berland A, 2017, LANDSCAPE URBAN PLAN, V162, P167, DOI 10.1016/j.landurbplan.2017.02.017
   Boetzl FA, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016038118
   Botzat A, 2016, GLOBAL ENVIRON CHANG, V39, P220, DOI 10.1016/j.gloenvcha.2016.04.008
   Cheston CC, 2013, ACAD MED, V88, P893, DOI 10.1097/ACM.0b013e31828ffc23
   Choi Jaesung, 2018, [Journal of Environmental Policy and Administration, 환경정책], V26, P103, DOI 10.15301/jepa.2018.26.3.103
   Choi J, 2018, KSCE J CIV ENG, V22, P24, DOI 10.1007/s12205-017-2461-1
   CNT (Center for Neighborhood Technology), 2010, VAL GREEN INFR GUID
   Cortinovis C, 2018, LAND USE POLICY, V70, P298, DOI 10.1016/j.landusepol.2017.10.017
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Deuk-Hwan S., 2021, P THEWINTER ACAD PRE
   du Toit MJ, 2018, LANDSCAPE URBAN PLAN, V180, P249, DOI 10.1016/j.landurbplan.2018.06.001
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Eun Kang， Jung, 2014, [Journal of Environmental Policy, 환경정책연구], V13, P43, DOI 10.17330/joep.13.3.201409.43
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Finewood MH, 2019, ANN AM ASSOC GEOGR, V109, P909, DOI 10.1080/24694452.2018.1507813
   Galbreath J, 2013, J BUS ETHICS, V118, P529, DOI 10.1007/s10551-012-1607-9
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Geronimo Franz Kevin F., 2017, [Journal of Korean Society on Water Environment, 한국물환경학회지], V33, P1
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Hamstead ZA, 2018, COMPUT ENVIRON URBAN, V72, P38, DOI 10.1016/j.compenvurbsys.2018.01.007
   Han Hyojoo, 2020, [Journal of Climate Change Research, 한국기후변화학회지], V11, P739, DOI 10.15531/KSCCR.2020.11.6.739
   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
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hewitt CN, 2020, AMBIO, V49, P62, DOI 10.1007/s13280-019-01164-3
   장희준, 2010, [Journal of the Korean Geographical Society, 대한지리학회지], V45, P49
   Hoyle H, 2017, LANDSCAPE URBAN PLAN, V164, P109, DOI 10.1016/j.landurbplan.2017.03.011
   Huang Zhirui, 2020, Ecology and Resilient Infrastructure, V7, P199, DOI 10.17820/eri.2020.7.3.199
   장명재, 2022, [Management & Information Systems Review, 경영과 정보연구], V41, P123
   Jeong Nara, 2021, [Journal of People, Plants, and Environment, 인간식물환경학회지], V24, P377
   Jung J, 2012, KOREAN J REMOTE SENS, V28, P661, DOI 10.7780/kjrs.2012.28.6.6
   Jung Jiyun, 2013, [Journal of the Korean Society of Water and Wastewater, 상하수도학회지], V27, P251
   임용균, 2014, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V17, P1, DOI 10.13087/kosert.2014.17.2.1
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Kang Sangjun, 2020, GRI연구논총, V22, P25
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Kihwan Song, 2021, [Journal of Climate Change Research, 한국기후변화학회지], V12, P645, DOI 10.15531/KSCCR.2021.12.6.645
   Kim Dong-Hyun, 2014, [Journal of Korean Society of Environmental Engineers, 대한환경공학회지], V36, P402, DOI 10.4491/KSEE.2014.36.6.402
   Kim Dong-Hyun, 2013, [Journal of Environmental Policy, 환경정책연구], V12, P37, DOI 10.17330/joep.12.1.201303.37
   Kim Eunsub, 2021, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V24, P121
   Kim Hyun Woo, 2020, Journal of Safety and Crisis Management, V10, P27
   Kim Jeeyoung, 2015, [Design Convergence Study, 디자인융복합연구(구.인포디자인이슈)], V14, P137
   KIM Joong-Eun, 2017, [Journal of The Korean Urban Management Association, 도시행정학보], V30, P105, DOI 10.36700/KRUMA.2017.12.30.4.105
   Kim Ju-Ok, 2017, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V20, P21, DOI 10.13087/kosert.2017.20.6.21
   Kim S.H, 2011, J CLIM CHANG RES, V2, P191
   Kim Yong-Gook, 2019, [Journal of The Urban Design Insitute of Korea, 도시설계], V20, P19, DOI 10.38195/judik.2019.10.20.5.19
   Kokkaew N, 2017, KSCE J CIV ENG, V21, P2526, DOI 10.1007/s12205-017-0923-0
   Kong Hak-Yang, 2020, Ecology and Resilient Infrastructure, V7, P227, DOI 10.17820/eri.2020.7.4.227
   Kremer P, 2016, ECOL SOC, V21, DOI 10.5751/ES-08445-210229
   Kumar P, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105181
   KWON Jin wook, 2019, [Journal of recreation and landscape, 휴양및경관연구], V13, P85
   KWON Jin wook, 2019, [JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL, 한국환경과학회지], V28, P1147, DOI 10.5322/JESI.2019.28.12.1147
   Labib SM, 2020, ENVIRON RES, V180, DOI 10.1016/j.envres.2019.108869
   Langemeyer J, 2018, LANDSCAPE URBAN PLAN, V170, P79, DOI 10.1016/j.landurbplan.2017.09.013
   Lee J.A., 2010, SEOUL STUD, V11, P15
   Lee J.A., 2010, J RECREAT LANDSC, V4, P33
   이주영, 2012, GRI연구논총, V14, P305
   Lee Na Gyeom, 2021, KIEAE Journal, V21, P83, DOI 10.12813/kieae.2021.21.3.083
   Lee S.Y., 2012, J RECREAT LANDSC, V6, P27
   LeeJinhee, 2019, Crisisonomy, V15, P95, DOI 10.14251/crisisonomy.2019.15.9.95
   LeeJinhee, 2019, [The Korea Spatial Planning Review, 국토연구], V102, P49
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Li TT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111663
   LIDC (Low Impact Development Center), 2010, LOW IMP DEV MAN SO C
   Lim C.S, 2022, STUDY INFLUENCES ESG
   Liu Y, 2019, LANDSCAPE URBAN PLAN, V190, DOI 10.1016/j.landurbplan.2019.103602
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Lyu RF, 2018, LAND USE POLICY, V77, P163, DOI 10.1016/j.landusepol.2018.05.022
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Meerow S, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102621
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mell I., 2008, FORUM EJ, V8, P69
   Mell IC, 2009, P I CIVIL ENG-ENG SU, V162, P23, DOI 10.1680/ensu.2009.162.1.23
   Ministry of Strategy and Finance, 2021, MOOD ANN RES EV ENV
   Ministry of Trade Industry and Energy, K ESG GUID KEY IT
   Moore THM, 2018, HEALTH PLACE, V53, P237, DOI 10.1016/j.healthplace.2018.07.012
   Namyangju Newspaper, 2021, NAMYANGJU NEWSP 0624
   Nassauer JI, 2014, LANDSCAPE URBAN PLAN, V125, P245, DOI 10.1016/j.landurbplan.2013.10.008
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   박효석, 2014, [Journal of The Korean Urban Management Association, 도시행정학보], V27, P1
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Richardson BJ, 2009, J BUS ETHICS, V87, P555, DOI 10.1007/s10551-008-9958-y
   Rigolon A, 2018, CITIES, V81, P71, DOI 10.1016/j.cities.2018.03.016
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Semeraro T, 2021, LAND-BASEL, V10, DOI 10.3390/land10020105
   Seto KC, 2021, ANNU REV ENV RESOUR, V46, P377, DOI 10.1146/annurev-environ-050120-113117
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Shokry G, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100539
   Song Hye Jung, 2015, [Seoul Studies, 서울도시연구], V16, P113
   김은영, 2018, [Journal of Environmental Impact Assessment, 환경영향평가], V27, P335
   박은진, 2007, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V10, P60
   공학양, 2018, Ecology and Resilient Infrastructure, V5, P219, DOI 10.17820/eri.2018.5.4.219
   United Nations, The 17 Goals
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Yang Byungsun, 2020, [Journal of recreation and landscape, 휴양및경관연구], V14, P33, DOI 10.51549/JORAL.2020.14.4.033
   Ye-Eun Shin，, 2021, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V24, P53
   Yong-Gook Kim，, 2020, [Korean Journal of Urban Studies, 도시연구], V18, P87
   김용국, 2012, [Journal of Korea Planning Association, 국토계획], V47, P69
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
   김승현, 2015, [Journal of The Urban Design Insitute of Korea, 도시설계], V16, P37
NR 119
TC 8
Z9 8
U1 14
U2 92
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD JUN
PY 2022
VL 19
IS 12
AR 7099
DI 10.3390/ijerph19127099
PG 18
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 2Z2QV
UT WOS:000826429300001
PM 35742347
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Moritsch, MM
   Byrd, KB
   Davis, M
   Good, A
   Drexler, JZ
   Morris, JT
   Woo, I
   Windham-Myers, L
   Grossman, E
   Nakai, G
   Poppe, KL
   Rybczyk, JM
AF Moritsch, Monica M.
   Byrd, Kristin B.
   Davis, Melanie
   Good, Anthony
   Drexler, Judith Z.
   Morris, James T.
   Woo, Isa
   Windham-Myers, Lisamarie
   Grossman, Eric
   Nakai, Glynnis
   Poppe, Katrina L.
   Rybczyk, John M.
TI Can Coastal Habitats Rise to the Challenge? Resilience of Estuarine
   Habitats, Carbon Accumulation, and Economic Value to Sea-Level Rise in a
   Puget Sound Estuary
SO ESTUARIES AND COASTS
LA English
DT Article
DE Ecosystem services; Carbon accumulation; Sediment accretion; Climate
   resilience; Social cost of carbon; Marsh Equilibrium Model
ID JUVENILE CHINOOK SALMON; SALT-MARSH; VERTICAL ACCRETION; PLANT
   PRODUCTIVITY; TIDAL MARSHES; INUNDATION; VEGETATION; CALIFORNIA;
   RESPONSES; WETLANDS
AB Sea-level rise (SLR) and obstructions to sediment delivery pose challenges to the persistence of estuarine habitats and the ecosystem services they provide. Restoration actions and sediment management strategies may help mitigate such challenges by encouraging the vertical accretion of sediment in and horizontal migration of tidal forests and marshes. We used a process-based soil accretion model (Coastal Wetland Equilibrium Model) combined with a habitat classification model (MOSAICS) to estimate the effects of SLR, suspended sediment, and inland habitat migration on estuarine habitats, soil carbon accumulation, and economic value of climate change mitigation of carbon accumulation (social cost of carbon dioxide) in a macrotidal estuary in the northwest USA over 100 years (2011 to 2110). Under present-day sediment levels, we projected that after 100 years, most high salt marsh would remain with < 100 cm SLR, but substantial area converted to transitional (low) salt marsh and mudflat with >= 100 cm SLR. Increasing sediment availability increased the projected resilience of transitional salt marsh to SLR but did not prevent declines in high marsh area. Projected total carbon accumulation plateaued or declined with >= 100 cm SLR, yet the economic value of carbon accumulation continued to rise over time, suggesting that the value of this ecosystem service was resilient to SLR. Doubling or tripling sediment availability increased projected carbon accumulation up to 7.69 and 14.2 kg m(-2) and increased total economic value up to $373,000 and $710,000, respectively. Allowing marsh migration supported conversion of upland to freshwater marsh, with slight increases in carbon accumulation. These results inform climate adaptation planning for wetland managers seeking to understand the resilience of estuarine habitats and ecosystem services to SLR under multiple management strategies.
C1 [Moritsch, Monica M.; Byrd, Kristin B.] US Geol Survey, Western Geog Sci Ctr, 350 N Akron Rd, Moffett Field, CA 94035 USA.
   [Davis, Melanie] Oregon State Univ, US Geol Survey, Oregon Cooperat Fish & Wildlife Res Unit, 104 Nash Hall, Corvallis, OR 97331 USA.
   [Good, Anthony] US Geol Survey, Sci & Decis Ctr, 12201 Sunrise Valley Dr,MS 913, Reston, VA 20192 USA.
   [Drexler, Judith Z.] US Geol Survey, Calif Water Sci Ctr, 6000 J St,Placer Hall, Sacramento, CA 95819 USA.
   [Morris, James T.] Univ South Carolina, Dept Biol Sci, 715 Sumter St, Columbia, SC 29208 USA.
   [Woo, Isa] US Geol Survey, Western Ecol Res Ctr, 350 N Akron Rd, Moffett Field, CA 94035 USA.
   [Windham-Myers, Lisamarie] US Geol Survey, Water Mission Area, 345 Middlefield Rd, Menlo Pk, CA 94025 USA.
   [Grossman, Eric] US Geol Survey, Pacific Coastal & Marine Sci Ctr, 2885 Mission St, Santa Cruz, CA 95060 USA.
   [Nakai, Glynnis] US Fish & Wildlife Serv, Billy Frank Jr Nisqually Natl Wildlife Refuge, 100 Brown Farm Rd NE, Olympia, WA 98516 USA.
   [Poppe, Katrina L.; Rybczyk, John M.] Western Washington Univ, Dept Environm Sci, 516 High St, Bellingham, WA 98225 USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; United States
   Geological Survey; Oregon State University; United States Department of
   the Interior; United States Geological Survey; United States Department
   of the Interior; United States Geological Survey; University of South
   Carolina System; University of South Carolina Columbia; United States
   Department of the Interior; United States Geological Survey; United
   States Department of the Interior; United States Geological Survey;
   United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; US Fish & Wildlife
   Service; Western Washington University
RP Moritsch, MM (corresponding author), US Geol Survey, Western Geog Sci Ctr, 350 N Akron Rd, Moffett Field, CA 94035 USA.
EM monicamoritsch@gmail.com
RI Poppe, Katrina/AAV-4251-2020; Windham, Lisa/LDF-9363-2024; morris,
   james/AAQ-5605-2020; Woo, Isa/P-4885-2018
OI Woo, Isa/0000-0002-8447-9236; Morris, James/0000-0002-0511-642X;
   Moritsch, Monica/0000-0002-3890-1264; Poppe, Katrina/0000-0003-2830-4578
FU U.S. Geological Survey (USGS) Northwest Climate Adaptation Science
   Center; USGS Land Carbon Program; USGS Land Change Science Program
FX This research was funded by the U.S. Geological Survey (USGS) Northwest
   Climate Adaptation Science Center, the USGS Land Carbon Program and the
   USGS Land Change Science Program.
CR Angradi TR, 2001, WETLANDS, V21, P75, DOI 10.1672/0277-5212(2001)021[0075:VTATIM]2.0.CO;2
   [Anonymous], 2016, 12866 INT WORK GROUP
   [Anonymous], 2018, A Blue Carbon Primer, DOI DOI 10.1201/9780429435362-7
   [Anonymous], 2016, 20165062 US GEOL SUR
   Ballanti L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9111919
   Barbier EB, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P947, DOI 10.1016/B978-0-444-63893-9.00027-7
   Beck J, 2020, REV REG STUD, V50, P43
   Bell FW, 1997, ECOL ECON, V21, P243, DOI 10.1016/S0921-8009(96)00105-X
   Belleveau LJ, 2015, NORTHWEST SCI, V89, P136, DOI 10.3955/046.089.0205
   Benscoter AM, 2020, WETLANDS, V40, P799, DOI 10.1007/s13157-019-01230-2
   Bilkovic DM, 2013, ECOL ENG, V61, P469, DOI 10.1016/j.ecoleng.2013.10.011
   Bromirski PD, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006759
   Brophy L. S., 2019, Comparing historical losses of forested, scrub-shrub, and emergent tidal wetlands on the Oregon coast, USA: A paradigm shift for estuary restoration and conservation
   Brophy LS, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0218558
   Bruins RJF, 2017, INTEGR ENVIRON ASSES, V13, P52, DOI 10.1002/ieam.1842
   Buffington KJ, 2016, REMOTE SENS ENVIRON, V186, P616, DOI 10.1016/j.rse.2016.09.020
   Buffington KJ., 2021, PLOS ONE, V16, pe0256707, DOI DOI 10.1371/JOURNAL.PONE.0256707
   Cahoon DR, 2019, ESTUAR COAST, V42, P1, DOI 10.1007/s12237-018-0448-x
   Chmura GL, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001917
   Davidson NC, 2014, MAR FRESHWATER RES, V65, P934, DOI 10.1071/MF14173
   Davis MJ, 2022, ESTUAR COAST, V45, P1445, DOI 10.1007/s12237-021-01003-3
   Davis MJ, 2019, ECOL MODEL, V410, DOI 10.1016/j.ecolmodel.2019.108722
   Davis MJ, 2019, T AM FISH SOC, V148, P289, DOI 10.1002/tafs.10134
   Davis MJ, 2018, T AM FISH SOC, V147, P818, DOI 10.1002/tafs.10088
   Davis MJ, 2018, RESTOR ECOL, V26, P976, DOI 10.1111/rec.12643
   Dettinger M, 2011, J AM WATER RESOUR AS, V47, P514, DOI 10.1111/j.1752-1688.2011.00546.x
   Drexler JZ, 2019, RESTOR ECOL, V27, P1117, DOI 10.1111/rec.12941
   Drexler JZ, 2011, ESTUAR COAST, V34, P900, DOI 10.1007/s12237-011-9393-7
   Drupp MA, 2018, AM ECON J-ECON POLIC, V10, P109, DOI 10.1257/pol.20160240
   Ellings C., 2009, Monitoring and Adaptive Management of the Nisqually Delta after Tidal Marsh Restoration: Restoring Ecosystem Function for Salmon
   Gonneea ME, 2019, ESTUAR COAST SHELF S, V217, P56, DOI 10.1016/j.ecss.2018.11.003
   Good A., 2020, THESIS VA GEORGE MAS
   Grossman EE, 2020, MAR GEOL, V430, DOI 10.1016/j.margeo.2020.106336
   Hamman JJ, 2016, NORTHWEST SCI, V90, P57
   Herbert ER, 2021, ONE EARTH, V4, P425, DOI 10.1016/j.oneear.2021.02.011
   Hiraishi T., 2014, COMBINED EFFECTS PRO, DOI [10.3955/046.090.0106, DOI 10.3955/046.090.0106]
   Holmquist JR, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001804
   Hood WG, 2012, WETLANDS, V32, P401, DOI 10.1007/s13157-012-0294-8
   Horton BP, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05080-0
   Interagency Working Group on Social Cost of Greenhouse Gases (IWG), 2021, Technical Support Document: Social Cost of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990
   Janousek CN, 2017, ECOSYSTEMS, V20, P1296, DOI 10.1007/s10021-017-0111-6
   Janousek CN, 2016, MAR ECOL PROG SER, V548, P111, DOI 10.3354/meps11683
   Janousek CN, 2013, PLANT ECOL, V214, P917, DOI 10.1007/s11258-013-0218-6
   Kauffman JB, 2020, GLOBAL CHANGE BIOL, V26, P5679, DOI 10.1111/gcb.15248
   Kirwan ML, 2015, ECOSYSTEMS, V18, P903, DOI 10.1007/s10021-015-9870-0
   Kirwan ML, 2012, J ECOL, V100, P764, DOI 10.1111/j.1365-2745.2012.01957.x
   Koch EW, 2009, FRONT ECOL ENVIRON, V7, P29, DOI 10.1890/080126
   Kopp RE, 2014, EARTHS FUTURE, V2, P383, DOI 10.1002/2014EF000239
   LYNNE GD, 1981, J ENVIRON ECON MANAG, V8, P175, DOI 10.1016/0095-0696(81)90006-1
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Miller I., 2019, PROJECTED SEA LEVEL
   Morris JT, 2020, ESTUAR COAST, V43, P1658, DOI 10.1007/s12237-020-00790-5
   Morris JT, 2016, EARTHS FUTURE, V4, P110, DOI 10.1002/2015EF000334
   Morris JT, 2002, ECOLOGY, V83, P2869, DOI 10.1890/0012-9658(2002)083[2869:ROCWTR]2.0.CO;2
   Myers MR, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104921
   Nyman JA, 2006, ESTUAR COAST SHELF S, V69, P370, DOI 10.1016/j.ecss.2006.05.041
   Patton D, 2015, ECOSYST SERV, V16, P94, DOI 10.1016/j.ecoser.2015.10.017
   Pearce D, 2003, OXFORD REV ECON POL, V19, P362, DOI 10.1093/oxrep/19.3.362
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Pindilli E, 2018, ECOL ECON, V154, P145, DOI 10.1016/j.ecolecon.2018.08.002
   R Core Team, 2021, R WIND R VERS 3 5 2
   Reguero BG, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192132
   Rosencranz JA, 2018, ECOL EVOL, V8, P8115, DOI 10.1002/ece3.4196
   Saintilan N, 2020, SCIENCE, V368, P1118, DOI 10.1126/science.aba2656
   Schile LM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088760
   Spencer T, 2016, GLOBAL PLANET CHANGE, V139, P15, DOI 10.1016/j.gloplacha.2015.12.018
   Stern MA, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026245
   Structured Data LLC, 2018, BERT BAS EXC R TOOK
   Thorne K, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao3270
   Thorne KM, 2019, ECOL ENG, V136, P197, DOI 10.1016/j.ecoleng.2019.05.011
   Thorne KM, 2012, J COASTAL RES, V28, P1477, DOI 10.2112/JCOASTRES-D-11-00136.1
   Torio DD, 2013, J COASTAL RES, V29, P1049, DOI 10.2112/JCOASTRES-D-12-00162.1
   Vandenbruwaene W, 2011, GEOMORPHOLOGY, V130, P115, DOI 10.1016/j.geomorph.2011.03.004
   Wang FM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13294-z
   Washington State Department of Transportation (WDOT) Olympic Region Multimodal Planning Office and Thurston Regional Planning Council, 2020, 15 WDOT
   Wedding LM, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2020.102206
   Woo I, 2018, RESTOR ECOL, V26, P964, DOI 10.1111/rec.12658
NR 77
TC 6
Z9 9
U1 2
U2 35
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1559-2723
EI 1559-2731
J9 ESTUAR COAST
JI Estuaries Coasts
PD DEC
PY 2022
VL 45
IS 8
BP 2293
EP 2309
DI 10.1007/s12237-022-01087-5
EA MAY 2022
PG 17
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 5O0PB
UT WOS:000805547200002
OA hybrid
DA 2025-01-10
ER

PT J
AU Ou, XY
   Lyu, YS
   Liu, Y
   Zheng, X
   Li, FZ
AF Ou, Xiaoyang
   Lyu, Yingshuo
   Liu, Yang
   Zheng, Xi
   Li, Fangzheng
TI Integrated multi-hazard risk to social-ecological systems with green
   infrastructure prioritization: A case study of the Yangtze River Delta,
   China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Green infrastructure; Biodiversity; Ecosystem services; Multi-hazard
   risk; Social-ecological system; Spatial prioritization; Yangtze River
   Delta
ID SPATIAL CONSERVATION PRIORITIZATION; ECOSYSTEM SERVICES; PROTECTED
   AREAS; CLIMATE-CHANGE; BIODIVERSITY; MANAGEMENT; ENHANCE; VULNERABILITY
AB The sustainable future of deltas is increasingly threatened due to natural ecosystem degradation and increasing climate change hazards. Thus, the spatial prioritization of Green Infrastructure (GI) is of great importance for ecosystem conservation and climate adaptation. The existing GI prioritization methods in deltaic regions lack a systematic method of incorporating the state of vulnerability and risk. In this study, a novel method was developed for systematically prioritizing GI management zones based on the biodiversity and ecosystem services that addresses the clear relevance to multi-hazard risk to the social-ecological system (SES). The approach was demonstrated in the Yangtze River Delta, China. The multi-hazard risk to the SES in the county-level administrative regions was evaluated based on the Global Delta Risk Index (GDRI). The outputs were then transferred into a critical cost factor in a combined spatial prioritization of the biodiversity and ecosystem services using the Marxan with Zones software to determine the spatial priorities of multiple management zones (the core zone, conservation zone, and sustainable use zone). Two comparative scenarios were run to illustrate how the inclusion of the multi-hazard risk can affect the spatial prioritization of GI. Based on our results, integrating the multi hazard risk of the SES can effectively coordinate the configuration of GI management zones. This supports our conclusion that the risk to the SES should always be considered during future GI prioritization to ensure the GI network s resilience to multiple climatic changes. Our proposed framework will help guide future applications of GI in global deltas and the implementation of flexible conservation management in a multi-hazard context.
C1 [Ou, Xiaoyang; Lyu, Yingshuo; Liu, Yang; Zheng, Xi; Li, Fangzheng] Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China.
C3 Beijing Forestry University
RP Zheng, X; Li, FZ (corresponding author), Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China.
EM zhengxi@bjfu.edu.cn; fangzhengli@bjfu.edu.cn
OI Zheng, Xi/0000-0002-7293-1811; Ou, Xiaoyang/0000-0003-4875-2669
FU National Key Research and Development Program of China [2019YFD11004021]
FX This work was supported by the National Key Research and Development
   Program of China (NO. 2019YFD11004021). We thank LetPub (www.letpub.com)
   for its linguistic assistance during the preparation of this manuscript.
CR [Anonymous], IUCN RED LIST THREAT
   Arto I, 2019, SCI TOTAL ENVIRON, V648, P1284, DOI 10.1016/j.scitotenv.2018.08.139
   Barbosa A, 2019, SCI TOTAL ENVIRON, V652, P1463, DOI 10.1016/j.scitotenv.2018.10.416
   Basnou C, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126797
   Beier P, 2010, CONSERV BIOL, V24, P701, DOI 10.1111/j.1523-1739.2009.01422.x
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Cai WB, 2017, J ENVIRON MANAGE, V191, P258, DOI 10.1016/j.jenvman.2017.01.003
   Chang HS, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127325
   Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
   Cimon-Morin J, 2013, BIOL CONSERV, V166, P144, DOI 10.1016/j.biocon.2013.06.023
   Commission E, 2016, SHEFF GREEN COMM
   CPC Central Committee and State Council, 2019, SEV OP CENTR COMM CO
   CPC Central Committee and State Council, 2019, CHINA WATER RESOUR
   Domisch S, 2019, SCI TOTAL ENVIRON, V656, P797, DOI 10.1016/j.scitotenv.2018.11.348
   European Commission, 2015, GREEN INFRASTRUCTURE
   Fritz M., 2014, GREEN INFRASTRUCTURE
   Gao J, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105579
   García AM, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101115
   Ge Y, 2013, STOCH ENV RES RISK A, V27, P1899, DOI 10.1007/s00477-013-0725-y
   Ghofrani Z., 2017, INT J ENV SUSTAINABI, V6, DOI DOI 10.24102/IJES.V6I1.728
   Gilliland PM, 2008, MAR POLICY, V32, P787, DOI 10.1016/j.marpol.2008.03.022
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Haines-Young R., 2011, Expert Meeting on Ecosystem Accounts., P1, DOI [DOI 10.1016/B978-0-12-419964-4.00001-9., 10.1016/B978-0-12-419964-4.00001-9, DOI 10.1016/B978-0-12-419964-4.00001-9]
   Hermoso V, 2020, LANDSCAPE URBAN PLAN, V196, DOI 10.1016/j.landurbplan.2019.103732
   Hermoso V, 2018, AQUAT CONSERV, V28, P1004, DOI 10.1002/aqc.2891
   Hermoso V, 2016, AQUAT CONSERV, V26, P3, DOI 10.1002/aqc.2681
   Hermoso V, 2015, J APPL ECOL, V52, P940, DOI 10.1111/1365-2664.12454
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Honeck E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041387
   Hu MM, 2019, ECOL INDIC, V104, P439, DOI 10.1016/j.ecolind.2019.04.081
   Kopperoinen L, 2014, LANDSCAPE ECOL, V29, P1361, DOI 10.1007/s10980-014-0014-2
   Kuenzer C, 2020, OCEAN COAST MANAGE, V198, DOI 10.1016/j.ocecoaman.2020.105362
   Langemeyer J., 2021, NATURE BASED SOLUTIO, V1, DOI [10.1016/j.nbsj.2021.100006, DOI 10.1016/J.NBSJ.2021.100006]
   Lanzas M, 2019, SCI TOTAL ENVIRON, V651, P541, DOI 10.1016/j.scitotenv.2018.09.164
   Lehner B, 2004, J HYDROL, V296, P1, DOI 10.1016/j.jhydrol.2004.03.028
   Lehtomäki J, 2013, ENVIRON MODELL SOFTW, V47, P128, DOI 10.1016/j.envsoft.2013.05.001
   Lennon M, 2015, LOCAL ENVIRON, V20, P957, DOI 10.1080/13549839.2014.880411
   Levin N, 2013, BIOL CONSERV, V158, P371, DOI 10.1016/j.biocon.2012.08.032
   Lin G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062175
   Lin YP, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050718
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Martinez-Harms MJ, 2015, BIOL CONSERV, V184, P229, DOI 10.1016/j.biocon.2015.01.024
   Moore TLC, 2013, ECOL ENG, V58, P44, DOI 10.1016/j.ecoleng.2013.06.021
   Papadimitriou F., 2020, SPRINGER NATURE MATH
   Renaud FG, 2012, ENVIRON SCI ENG, P1, DOI 10.1007/978-94-007-3962-8
   Resource and Environment Science and Data Center, SPATIAL DISTRIBUTION
   Sebesvari Z, 2016, SUSTAIN SCI, V11, P575, DOI 10.1007/s11625-016-0366-4
   Snäll T, 2016, ENVIRON MANAGE, V57, P251, DOI 10.1007/s00267-015-0613-y
   Syfert MM, 2014, BIOL CONSERV, V177, P174, DOI 10.1016/j.biocon.2014.06.012
   Syvitski JPM, 2009, NAT GEOSCI, V2, P681, DOI 10.1038/NGEO629
   Tessler ZD, 2015, SCIENCE, V349, P638, DOI 10.1126/science.aab3574
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Vallecillo S, 2018, LANDSCAPE URBAN PLAN, V174, P41, DOI 10.1016/j.landurbplan.2018.03.001
   Villa F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091001
   Watts M, 2008, MARXAN ZONES V1 0 1
   Watts ME, 2009, ENVIRON MODELL SOFTW, V24, P1513, DOI 10.1016/j.envsoft.2009.06.005
   Zhang D, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106841
   Zhang T, 2018, ESTUAR COAST SHELF S, V212, P219, DOI 10.1016/j.ecss.2018.07.010
NR 59
TC 7
Z9 8
U1 21
U2 107
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD MAR
PY 2022
VL 136
AR 108639
DI 10.1016/j.ecolind.2022.108639
EA FEB 2022
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA ZI1OS
UT WOS:000761398200004
OA gold
DA 2025-01-10
ER

PT J
AU Main, KL
   Mabsout, J
   Segal, R
   Dogusan Alexander, N
   Serra, O
   Komurcu, M
AF Main, Kelly Leilani
   Mabsout, Joude
   Segal, Rafi
   Dogusan Alexander, Nese
   Serra, Olivia
   Komurcu, Muge
TI Swap Strategy for Urban Resilience: Reviving the Ayamama River Corridor
   and Ataturk Decommissioned Airport in Istanbul, Turkey
SO LANDSCAPE ARCHITECTURE FRONTIERS
LA English
DT Article
DE Urban Flooding; Climate Adaptation; Decommissioned Infrastructure;
   Climate Change; River Restoration; Relocation; Adaptive Reuse
ID GLOBAL ENVIRONMENTAL-CHANGE; REDEVELOPMENT; MANAGEMENT; GOVERNANCE;
   CITIES
AB The Ayamama River in Istanbul has been substantially degraded due to urbanization of the river corridor since the 1950s. Development throughout the watershed and climate change contribute to increasing severity of flash flooding events that threaten life and property in the floodplain. As the intensity, duration or frequency of extreme rainfall events continue to increase with climate change, it is imperative to reduce the risk of urban flooding to vulnerable assets. However, as Istanbul is a city famous for its density and lack of open space, finding suitable relocation sites for at-risk structures, while maintaining access to recreational amenities for the surrounding neighborhoods is a daunting task. The decommissioned Ataturk Airport provides a unique opportunity to re-imagine the utility of urban voids in helping cities adapt to increasing flood impacts. While the current airport redevelopment proposal includes the construction of a massive park and new cultural amenities, such a park lacks sufficient connective infrastructure to its surrounding neighborhoods and does little to alleviate the significant environmental challenges of its neighbor, the Ayamama River. In this paper, we explore the use of the decommissioned Ataturk Airport site to relieve development pressure from the Ayamama River by implementing a novel swap strategy for urban voids. The proposed swap strategy design methodology relocates, regenerates, and reconnects decommissioned infrastructures and degraded floodplains simultaneously. As the impacts of climate change become more prominent, this novel urban concept seeks to initiate a conversation amongst planners and designers around the use of decommissioned infrastructure and large-scale urban voids to help relieve pressure from urban floodplains. Meanwhile, it can make room for river restoration projects without decreasing the quality of life of relocated residents or negatively impacting relocated economic activities by identifying redevelopment sites in close proximity.
C1 [Main, Kelly Leilani] MIT, City Planning, Cambridge, MA 02139 USA.
   [Main, Kelly Leilani] Univ Calif Berkeley, Dept Landscape Architecture & Environm Planning, Berkeley, CA USA.
   [Mabsout, Joude; Serra, Olivia] MIT, Architecture Studies Urbanism, Cambridge, MA USA.
   [Segal, Rafi] MIT, Architecture & Urbanism, Cambridge, MA USA.
   [Komurcu, Muge] MIT, Joint Program Sci & Policy Global Change, Cambridge, MA USA.
C3 Massachusetts Institute of Technology (MIT); University of California
   System; University of California Berkeley; Massachusetts Institute of
   Technology (MIT); Massachusetts Institute of Technology (MIT);
   Massachusetts Institute of Technology (MIT)
RP Main, KL (corresponding author), MIT, City Planning, Cambridge, MA 02139 USA.
EM kleilani@berkeley.edu
CR Aksu, 2019, HAV MILL BAHC
   [Anonymous], 2022, CLIMATE CHANGE 0302
   [Anonymous], 2018, EXPLORING TRANSFER D
   [Anonymous], WHAT IS RIV REST
   Asian Development Bank, 1998, HDB RES GUID PRACT
   Bahadir B., 2020, THESIS ISTANBUL U IS
   Carrión A, 2016, LAT AM PERSPECT, V43, P252, DOI 10.1177/0094582X15579900
   Clement V., 2021, GROUNDSWELL
   Cools J, 2014, EU POLICY DOCUMENT N
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Delibas M., 2012, THESIS ISTANBUL TU I
   Delibas M, 2017, ECOHYDROL HYDROBIOL, V17, P18, DOI 10.1016/j.ecohyd.2016.12.007
   DHMI, 2018, GEN DIR STAT AIRP AU
   Dinc H., 2015, THESIS ISTANBUL TU I
   Dufour S, 2009, RIVER RES APPL, V25, P568, DOI 10.1002/rra.1239
   Ersek S, 1964, MIMARLIK, P11
   Favargiotti S, 2018, J LANDSC ARCHIT, V13, P90, DOI 10.1080/18626033.2018.1589147
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Guimaraes LF, 2021, J CLEAN PROD, V316, DOI 10.1016/j.jclepro.2021.128330
   Gülbaz S, 2019, J HYDROL ENG, V24, DOI 10.1061/(ASCE)HE.1943-5584.0001730
   Harvard Graduate School of Design, 2017, AIRF MAN FIELD GUID
   Hilbrandt H, 2017, URBAN GEOGR, V38, P537, DOI 10.1080/02723638.2016.1168569
   Hong Y. -H, 2012, LAND READJUSTMENT UR
   Jeon C, 2019, ENVIRON HIST-US, V24, P736, DOI 10.1093/envhis/emz032
   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
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kömüscü AÜ, 2013, NAT HAZARDS, V66, P781, DOI 10.1007/s11069-012-0521-x
   Kondolf GM, 2021, LANDSC ARCHIT FRONT, V9, P10, DOI 10.15302/J-LAF-1-020051
   Larsson G, 1997, HABITAT INT, V21, P141, DOI 10.1016/S0197-3975(96)00059-8
   Main K, 2019, CONVERSATIONS TRANSP
   Main K. L, 2018, 8 INT C BUILDING RES
   Mao L, 2020, JAMA NEUROL, V77, P683, DOI 10.1001/jamaneurol.2020.1127
   Masson-Delmotte V., GLOBAL WARMING 1 5 C, P32
   McNamara KE, 2018, CLIM POLICY, V18, P111, DOI 10.1080/14693062.2016.1248886
   Mimarlik H. G, 2018, ISTANBUL MILLET BAHC
   Minnery J, 2013, HABITAT INT, V39, P162, DOI 10.1016/j.habitatint.2012.12.002
   Monteil CL, 2014, ISME J, V8, P2290, DOI 10.1038/ismej.2014.55
   Nelson M, 2014, J AM PLANN ASSOC, V80, P426, DOI 10.1080/01944363.2014.988167
   Office of the High Commissioner for Human Rights, 1991, CESCR GEN COMM NO 4
   Palmberg B., 2006, THESIS U N CAROLINA, DOI [10.17615/4jsm-zm13, DOI 10.17615/4JSM-ZM13]
   Parnell S, 2007, AREA, V39, P357, DOI 10.1111/j.1475-4762.2007.00760.x
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Say S. C, 2019, SKETCH J CITY REGION, V1, P54, DOI [10.5505/sjcrp.2019.98608, DOI 10.5505/SJCRP.2019.98608]
   SerraLlobet A., 2018, MANAGING FLOOD RISK, DOI [DOI 10.1007/978-3-319-71673-2, 10.1007/978-3-319-71673-2]
   Smith M. S., 2020, Closing the gap between information and payment flows in a digital transformation
   Steiner F., 2019, Design with nature now
   Tekeli Ilhan., 1994, DEV ISTANBUL METROPO
   The UN Refugee Agency (UNHCR), 2017, GLOB TRENDS FORC DIS
   Transportation Research Board, 2011, STRAT REUS UND VAC A, DOI [10.17226/14592, DOI 10.17226/14592]
   Turolu H., 2011, J ECOLOGY ANKARA U, V3, P39, DOI DOI 10.1501/CSAUM_0000000043
   UN High Commissioner for Refugees (UNHCR), 1998, GUIDING PRINCIPLES I
   Veról AP, 2019, J CLEAN PROD, V239, DOI 10.1016/j.jclepro.2019.118058
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Williams R. C., 2008, PROTECTING INTERNALL
NR 55
TC 0
Z9 0
U1 2
U2 17
PU HIGHER EDUCATION PRESS
PI BEIJING
PA CHAOYANG DIST, 4, HUIXINDONGJIE, FUSHENG BLDG, BEIJING 100029, PEOPLES R
   CHINA
SN 2096-336X
EI 2095-5413
J9 LANDSC ARCHIT FRONT
JI Landsc. Archit. Front.
PD DEC
PY 2021
VL 9
IS 6
BP 44
EP 58
DI 10.15302/J-LAF-1-020058
PG 15
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA 5D0QO
UT WOS:000864656000004
OA Bronze
DA 2025-01-10
ER

PT C
AU Remund, J
   Grossenbacher, U
AF Remund, Jan
   Grossenbacher, Urs
BE Corrado, V
   Fabrizio, E
   Gasparella, A
   Patuzzi, F
TI Urban and future climate - Impact on energy consumption and thermal
   comfort of buildings
SO PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA
SE Building Simulation Conference Proceedings
LA English
DT Proceedings Paper
CT 16th Conference of the
   International-Building-Performance-Simulation-Association (IBPSA)
CY SEP 02-04, 2019
CL Rome, ITALY
SP Int Bldg Performance Simulat Assoc
AB Climate change and the urban heat effect are expected to have a large influence on the energy consumption and thermal comfort of buildings. However, using meteorological data which incorporates effects of climate change and characteristics of cities (e.g. vulnerability to the 'urban heat island' phenomenon) is not currently a standard practice in building simulation (BPS).
   By default, typical meteorological years based on meteorological data of the past 20 years of nearby meteorological stations are used. These stations are normally located outside the city centres (e.g. at airports). From this follows that neither climate change nor urban effects are taken into account in building performance simulation. This may lead to important discrepancy between simulation results and real energy consumption and/or indoor climate data for buildings in urban areas and under future climate conditions.
   Within Climate-fit.city, these effects are analysed. In a first step, adapted urban and future climate data (modelled with the UrbClim model by VITO) and standard (non-adapted) climate data were compared by analysing the distribution of hourly mean outside temperature for one year. In a second step, this data were included within the Meteonorm software. This will enable the software to model the urban and climate change effects for any place within the urban areas. In a first edition, this was made for the cities of Bern, Prague, Barcelona, Vienna and Rome. In the future, this data will be included for other urban areas in Europe.
   In a third step the urbanized TMY data sets generated by Meteonorm were used to simulate energy consumption (heating, cooling) and indoor climate conditions (operative temperature) with models of several typical buildings. The whole year simulation runs were made in series for several urban locations and - as reference scenario - with the standard TMY. The "urban" and "future" results were then compared with the reference scenario.
   Climate-fit.city is a EU project in the framework of Horizon 2020.
C1 [Remund, Jan] Meteotest AG, Bern, Switzerland.
   [Grossenbacher, Urs] Pronoo AG, Givisiez, Switzerland.
RP Remund, J (corresponding author), Meteotest AG, Bern, Switzerland.
FU European Union's H2020 Research and Innovation Programme [73004]
FX Climate-fit.city is developed as part of the PUCS project, which has
   received funding from the European Union's H2020 Research and Innovation
   Programme under Grant Agreement No. 73004.
CR De Ridder K, 2015, URBAN CLIM, V12, P21, DOI 10.1016/j.uclim.2015.01.001
   Espinar B, 2009, SOL ENERGY, V83, P118, DOI 10.1016/j.solener.2008.07.009
   IEE Project TABULA, 2009, TYP APPR BUILD STOCK
   Remund J, 2018, METEONORM HDB
   Settembrini G., 2017, ClimaBau - Planen angesichts des Klimawandels
   Swiss Society of Engineers and Architects, 2015, 2024 SIA SWISS SOC E
   Wilcox S., 2008, TECHNICAL REPORT DOI
NR 7
TC 2
Z9 1
U1 0
U2 6
PU INT BUILDING PERFORMANCE SIMULATION ASSOC-IBPSA
PI TORONTO
PA C/O MILLER-THOMPSON, 40 KING ST W, STE 5800, TORONTO, M5H 3S1, CANADA
SN 2522-2708
BN 978-1-7750520-1-2
J9 BUILD SIMUL CONF PR
PY 2020
BP 4738
EP 4745
DI 10.26868/25222708.2019.210122
PG 8
WC Construction & Building Technology; Operations Research & Management
   Science
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Operations Research & Management
   Science
GA BS3CE
UT WOS:000709431304105
OA Bronze
DA 2025-01-10
ER

PT J
AU Kauano, ÉE
   Silva, JMC
   Michalski, F
AF Kauano, Erico E.
   Silva, Jose M. C.
   Michalski, Fernanda
TI Illegal use of natural resources in federal protected areas of the
   Brazilian Amazon
SO PEERJ
LA English
DT Article
DE Illegal activities; Protected areas; Conservation; Natural resources;
   Amazon
ID RANDOMIZED-RESPONSE; MARINE RESERVES; DEFORESTATION; CONSERVATION;
   BIODIVERSITY; POPULATION; INSIGHTS; MODELS; POLICY; PARKS
AB Background. The Brazilian Amazon is the world's largest rainforest regions and plays a key role in biodiversity conservation as well as climate adaptation and mitigation. The government has created a network of protected areas (PAs) to ensure long-term conservation of the region. However, despite the importance of and positive advances in the establishment of PAs, natural resource depletion in the Brazilian Amazon is pervasive.
   Methods. We evaluated a total of 4,243 official law enforcement records generated between 2010 and 2015 to understand the geographical distribution of the illegal use of resources in federal PAs in the Brazilian Amazon. We classified illegal activities into ten categories and used generalized additive models (GAMs) to evaluate the relationship between illegal use of natural resources inside PAs with management type, age of PAs, population density, and accessibility.
   Results. We found 27 types of illegal use of natural resources that were grouped into 10 categories of illegal activities. Most infractions were related to suppression and degradation of vegetation (37.40%), followed by illegal fishing (27.30%) and hunting activities (18.20%). The explanatory power of the GAMs was low for all categories of illegal activity, with a maximum explained variation of 41.2% for illegal activities as a whole, and a minimum of 14.6% for hunting activities.
   Discussion. These findings demonstrate that even though PAs are fundamental for nature conservation in the Brazilian Amazon, the pressures and threats posed by human activities include a broad range of illegal uses of natural resources. Population density up to 50 km from a PA is a key variable, influencing illegal activities. These threats endanger long-term conservation and many efforts are still needed to maintain PAs that are large enough and sufficiently intact to maintain ecosystem functions and protect biodiversity.
C1 [Kauano, Erico E.; Silva, Jose M. C.; Michalski, Fernanda] Univ Fed Amapa, Programa Posgrad Biodiversidade Trop, Macapa, Amapa, Brazil.
   [Kauano, Erico E.] Inst Chico Mendes Conservacao Biodiversidade, Parque Nacl Montanhas Tumucumaque, Macapa, Amapa, Brazil.
   [Silva, Jose M. C.] Univ Miami, Dept Geog Geog & Reg Studies, Coral Gables, FL 33124 USA.
   [Michalski, Fernanda] Univ Fed Amapa, Lab Ecol & Conservacao Vertebrados, Macapa, Amapa, Brazil.
   [Michalski, Fernanda] Inst Procarnivoros, Sao Paulo, Brazil.
C3 Fundacao Universidade Federal do Amapa; University of Miami; Fundacao
   Universidade Federal do Amapa
RP Kauano, ÉE (corresponding author), Univ Fed Amapa, Programa Posgrad Biodiversidade Trop, Macapa, Amapa, Brazil.; Kauano, ÉE (corresponding author), Inst Chico Mendes Conservacao Biodiversidade, Parque Nacl Montanhas Tumucumaque, Macapa, Amapa, Brazil.
EM ericokauano@gmail.com
RI da Silva, José/K-3479-2016; Kauano, Erico/N-8273-2013; Michalski,
   Fernanda/J-4691-2012
OI Kauano, Erico/0000-0002-4016-4005; Michalski,
   Fernanda/0000-0002-8074-9964
FU CNPq [301562/2015-6]; University of Miami; Swift Action Fund; Instituto
   Chico Mendes de Conservacao da Biodiversidade; CAPES Foundation;
   Ministry of Education of Brazil [88881.030414/2013-01]
FX Fernanda Michalski received a productivity scholarship from CNPq
   (Process 301562/2015-6). Jose Maria Cardoso da Silva was supported by
   the University of Miami and Swift Action Fund. Erico Emed Kauano was
   supported by Instituto Chico Mendes de Conservacao da Biodiversidade.
   This work was funded by a research grant from the CAPES Foundation,
   Ministry of Education of Brazil (Project 88881.030414/2013-01). There
   was no additional external funding received for this study. The funders
   had no role in study design, data collection and analysis, decision to
   publish, or preparation of the manuscript.
CR Alves DS, 2002, INT J REMOTE SENS, V23, P2903, DOI 10.1080/01431160110096791
   [Anonymous], RES UCS FED BIOM
   [Anonymous], BAS HIDR OTT MULT 20
   [Anonymous], 2010, CENSO DEMOGRAFICO 20
   [Anonymous], PROJETO RADAMBRASIL
   [Anonymous], 2004, Mapa de Biomas do Brasil-primeira aproximacao
   [Anonymous], GRAD EST
   [Anonymous], SHAP LIMUN CONS FED
   [Anonymous], SHAP BIOM BRAS
   [Anonymous], 2011, SIN CENS DEM  2010
   Antunes AP, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1600936
   Barber CP, 2014, BIOL CONSERV, V177, P203, DOI 10.1016/j.biocon.2014.07.004
   Barber CP, 2012, BIOL CONSERV, V149, P6, DOI 10.1016/j.biocon.2011.08.024
   Brondizio ES, 2016, SCIENCE, V352, P1272, DOI 10.1126/science.aaf5122
   Carr DL, 2009, POPUL ENVIRON, V30, P222, DOI 10.1007/s11111-009-0090-4
   Chicas SD, 2017, J ENVIRON MANAGE, V187, P320, DOI 10.1016/j.jenvman.2016.11.063
   Claudet J, 2008, ECOL LETT, V11, P481, DOI 10.1111/j.1461-0248.2008.01166.x
   Conteh A, 2015, BIOL CONSERV, V189, P16, DOI 10.1016/j.biocon.2015.02.002
   Curran LM, 2004, SCIENCE, V303, P1000, DOI 10.1126/science.1091714
   da Silva JMC, 2017, LAND USE POLICY, V65, P135, DOI 10.1016/j.landusepol.2017.04.003
   Dalla-Nora EL, 2014, LAND USE POLICY, V39, P403, DOI 10.1016/j.landusepol.2014.02.004
   de Marques AAB, 2016, PEERJ, V4, DOI 10.7717/peerj.2206
   de Toledo PM, 2017, CURR OPIN ENV SUST, V26-27, P77, DOI 10.1016/j.cosust.2017.01.009
   Dinerstein E, 2007, BIOSCIENCE, V57, P508, DOI 10.1641/B570608
   Dudley N., 2013, Parks, V19, P7, DOI DOI 10.2305/IUCN.CH.2013.PARKS-19-1.ND.EN
   Dudley N, 2014, ORYX, V48, P496, DOI 10.1017/S0030605314000519
   Fearnside PM, 2005, CONSERV BIOL, V19, P680, DOI 10.1111/j.1523-1739.2005.00697.x
   Free CM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143960
   Funi C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051893
   Gavin MC, 2010, CONSERV BIOL, V24, P89, DOI 10.1111/j.1523-1739.2009.01387.x
   Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
   Guisan A, 2002, ECOL MODEL, V157, P89, DOI 10.1016/S0304-3800(02)00204-1
   Heegaard E, 2002, ECOL MODEL, V157, P131, DOI 10.1016/S0304-3800(02)00191-6
   Jusys T, 2016, APPL GEOGR, V75, P188, DOI 10.1016/j.apgeog.2016.08.015
   Kere EN, 2017, ECOL ECON, V136, P148, DOI 10.1016/j.ecolecon.2017.02.018
   Laurance WF, 2002, J BIOGEOGR, V29, P737, DOI 10.1046/j.1365-2699.2002.00721.x
   Laurance WF, 2001, SCIENCE, V291, P438, DOI 10.1126/science.291.5503.438
   Laurance WF, 2014, TRENDS ECOL EVOL, V29, P107, DOI 10.1016/j.tree.2013.12.001
   Laurance WF, 2012, NATURE, V489, P290, DOI 10.1038/nature11318
   Laurance WF, 2009, TRENDS ECOL EVOL, V24, P659, DOI 10.1016/j.tree.2009.06.009
   López-Carr D, 2013, ENVIRONMENT, V55, P3, DOI 10.1080/00139157.2013.748385
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Molloy PP, 2009, J APPL ECOL, V46, P743, DOI 10.1111/j.1365-2664.2009.01662.x
   Nelson A, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022722
   Nepstad D, 2006, CONSERV BIOL, V20, P65, DOI 10.1111/j.1523-1739.2006.00351.x
   Nepstad D, 2014, SCIENCE, V344, P1118, DOI 10.1126/science.1248525
   Nepstad D, 2009, SCIENCE, V326, P1350, DOI 10.1126/science.1182108
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   PERES CA, 1995, CONSERV BIOL, V9, P34, DOI 10.1046/j.1523-1739.1995.09010034.x
   Peres CA, 2003, CONSERV BIOL, V17, P521, DOI 10.1046/j.1523-1739.2003.01413.x
   Peres CA, 2006, TRENDS ECOL EVOL, V21, P227, DOI 10.1016/j.tree.2006.03.007
   Pfaff A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129460
   Porter-Bolland L, 2012, FOREST ECOL MANAG, V268, P6, DOI 10.1016/j.foreco.2011.05.034
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Schwartzman S, 2010, J ENVIRON DEV, V19, P274, DOI 10.1177/1070496510367627
   Sethi SA, 2008, BIOL CONSERV, V141, P506, DOI 10.1016/j.biocon.2007.11.005
   Sharma K, 2014, BIOL CONSERV, V179, P33, DOI 10.1016/j.biocon.2014.08.016
   Soares BS, 2006, NATURE, V440, P520, DOI 10.1038/nature04389
   Soares B, 2010, P NATL ACAD SCI USA, V107, P10821, DOI 10.1073/pnas.0913048107
   Stolton S., 2008, Edited by Nigel Dudley Including IUCN WCPA Best Practice Guidance on Recognising Protected Areas and Assigning Management Categories and Governance Types Guidelines for Applying Protected Area Management Categories
   Tabarelli M, 2005, CONSERV BIOL, V19, P695, DOI 10.1111/j.1523-1739.2005.00694.x
   Tella JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107546
   Thomas AS, 2015, BIOL CONSERV, V189, P24, DOI 10.1016/j.biocon.2014.09.048
   Tritsch I, 2016, APPL GEOGR, V76, P163, DOI 10.1016/j.apgeog.2016.09.022
   Underwood FM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076539
   Vieira ICG, 2008, BRAZ J BIOL, V68, P949, DOI 10.1590/S1519-69842008000500004
   Wood S., 2012, PACKAGE MGCV MIXED G
NR 67
TC 26
Z9 28
U1 0
U2 39
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD OCT 10
PY 2017
VL 5
AR e3902
DI 10.7717/peerj.3902
PG 20
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA FJ7ZR
UT WOS:000412980400001
PM 29038758
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Kapun, M
   Fabian, DK
   Goudet, J
   Flatt, T
AF Kapun, Martin
   Fabian, Daniel K.
   Goudet, Jerome
   Flatt, Thomas
TI Genomic Evidence for Adaptive Inversion Clines in <i>Drosophila
   melanogaster</i>
SO MOLECULAR BIOLOGY AND EVOLUTION
LA English
DT Article
DE chromosomal inversion polymorphisms; clines; clinal adaptation;
   spatially and temporally varying selection; population genomics;
   Drosophila
ID AMINO-ACID POLYMORPHISM; LIFE-HISTORY CLINES; NATURAL-POPULATIONS;
   LATITUDINAL CLINES; CHROMOSOMAL INVERSIONS; BODY-SIZE;
   GEOGRAPHIC-VARIATION; NUCLEOTIDE VARIABILITY; CLIMATIC ADAPTATION;
   EUROPEAN ADMIXTURE
AB Clines in chromosomal inversion polymorphisms-presumably driven by climatic gradients-are common but there is surprisingly little evidence for selection acting on them. Here we address this long-standing issue in Drosophila melanogaster by using diagnostic single nucleotide polymorphism (SNP) markers to estimate inversion frequencies from 28 whole-genome Pool-seq samples collected from 10 populations along the North American east coast. Inversions In(3L)P, In(3R)Mo, and In(3R)Payne showed clear latitudinal clines, and for In(2L)t, In(2R)NS, and In(3R) Payne the steepness of the clinal slopes changed between summer and fall. Consistent with an effect of seasonality on inversion frequencies, we detected small but stable seasonal fluctuations of In(2R) NS and In(3R) Payne in a temperate Pennsylvanian population over 4 years. In support of spatially varying selection, we observed that the cline in In(3R) Payne has remained stable for >40 years and that the frequencies of In(2L) t and In(3R) Payne are strongly correlated with climatic factors that vary latitudinally, independent of population structure. To test whether these patterns are adaptive, we compared the amount of genetic differentiation of inversions versus neutral SNPs and found that the clines in In(2L) t and In(3R) Payne are maintained nonneutrally and independent of admixture. We also identified numerous clinal inversion-associated SNPs, many of which exhibit parallel differentiation along the Australian cline and reside in genes known to affect fitness-related traits. Together, our results provide strong evidence that inversion clines are maintained by spatially-and perhaps also temporally-varying selection. We interpret our data in light of current hypotheses about how inversions are established and maintained.
C1 [Kapun, Martin; Goudet, Jerome; Flatt, Thomas] Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland.
   [Fabian, Daniel K.] Univ Cambridge, Dept Genet, Downing St, Cambridge CB2 3EH, England.
C3 University of Lausanne; University of Cambridge
RP Flatt, T (corresponding author), Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland.
EM thomas.flatt@unil.ch
RI Flatt, Thomas/AAE-7329-2019; Goudet, Jerome/A-9730-2012; Fabian,
   Daniel/AAK-9773-2020; Kapun, Martin/I-3536-2019
OI Flatt, Thomas/0000-0002-5990-1503; Fabian, Daniel/0000-0002-9895-2848;
   Kapun, Martin/0000-0002-3810-0504; Goudet, Jerome/0000-0002-5318-7601
FU Department of Ecology and Evolution; Swiss National Science Foundation
   [PP00P3_133641]; NCBI SRA [PRJNA308584]; Swiss National Science
   Foundation (SNF) [PP00P3_133641] Funding Source: Swiss National Science
   Foundation (SNF)
FX We thank A. Bergland, P. Schmidt, S. Laurent, and J. Polechova for
   discussion and two reviewers and the Associate Editor for helpful
   comments on the manuscript. We are grateful to the members of the
   Dros-RTEC consortium (led by A. Bergland, D. Petrov, P. Schmidt) who
   have collected the samples used here, especially the members of the
   Schmidt, Petrov, Lazzaro, Pool, and Gonzalez laboratories (supplementary
   table S1, Supplementary Material online). We also acknowledge the
   support of the Department of Ecology and Evolution and the Vital-IT
   bioinformatics core facility at the University of Lausanne. This work
   was supported by the Swiss National Science Foundation (grant number
   PP00P3_133641 to T.F). The unpublished raw sequence data used in this
   study are available from NCBI SRA (BioProject PRJNA308584#).
CR Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Anderson AR, 2005, MOL ECOL, V14, P851, DOI 10.1111/j.1365-294X.2005.02445.x
   ANDERSON PR, 1987, GENETICA, V75, P81, DOI 10.1007/BF00055251
   ANDERSON WW, 1991, P NATL ACAD SCI USA, V88, P10367, DOI 10.1073/pnas.88.22.10367
   Andolfatto P, 2001, GENET RES, V77, P1, DOI 10.1017/S0016672301004955
   [Anonymous], 1971, Genetics of the Evolutionary Process
   Aulard S, 2002, GENET RES, V79, P49, DOI 10.1017/S0016672301005407
   Ayala D, 2011, MOL BIOL EVOL, V28, P745, DOI 10.1093/molbev/msq248
   Balanyà J, 2009, HEREDITY, V103, P364, DOI 10.1038/hdy.2009.86
   Balanyá J, 2006, SCIENCE, V313, P1773, DOI 10.1126/science.1131002
   Bastide H, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003534
   Behrman EL, 2015, J EVOLUTION BIOL, V28, P1691, DOI 10.1111/jeb.12690
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Bradshaw WE, 2006, SCIENCE, V312, P1477, DOI 10.1126/science.1127000
   Calboli FCF, 2003, EVOLUTION, V57, P2653, DOI 10.1111/j.0014-3820.2003.tb01509.x
   Caracristi G, 2003, MOL BIOL EVOL, V20, P792, DOI 10.1093/molbev/msg091
   Cheng CD, 2012, GENETICS, V190, P1417, DOI 10.1534/genetics.111.137794
   Clemente F, 2012, J EVOLUTION BIOL, V25, P1975, DOI 10.1111/j.1420-9101.2012.02580.x
   Cogni R, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.2688
   Cogni R, 2014, EVOLUTION, V68, P538, DOI 10.1111/evo.12291
   Cohen J., 1988, STAT POWER ANAL BEHA
   Corbett-Detig RB, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003056
   COYNE JA, 1987, GENETICS, V117, P727
   DAVID JR, 1975, EXPERIENTIA, V31, P164, DOI 10.1007/BF01990682
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   De Jong G, 2003, J GENET, V82, P207, DOI 10.1007/BF02715819
   DOBZHANS.T, 1973, P NATL ACAD SCI USA, V70, P680, DOI 10.1073/pnas.70.3.680
   DOBZHANSKY T, 1948, GENETICS, V33, P588
   DOBZHANSKY T, 1947, GENETICS, V32, P142
   DOBZHANSKY T, 1947, EVOLUTION, V1, P1, DOI 10.2307/2405399
   Dobzhansky T., 1951, Genetics and the origin of species.
   DOBZHANSKY T, 1950, GENETICS, V35, P288
   Dobzhansky T, 1943, GENETICS, V28, P162
   Dobzhansky T., 1944, Carnegie Institute of Washington Publication, V554, P1
   Duchen P, 2013, GENETICS, V193, P291, DOI 10.1534/genetics.112.145912
   Endler J.A., 1977, Monographs in Population Biology, pi
   Endler J. A, 1986, Understanding Natural Selection
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Faria R, 2011, ROLE NATURAL SELECTI
   Flatt T., 2011, The Genetics and Physiology of Life History Traits and Trade-Offs
   Flatt T, 2013, Q REV BIOL, V88, P185, DOI 10.1086/671484
   Flatt T, 2009, BBA-GEN SUBJECTS, V1790, P951, DOI 10.1016/j.bbagen.2009.07.010
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   GARCIA-VAZQUEZ E, 1988, Genetica (Dordrecht), V78, P91, DOI 10.1007/BF00058839
   Gockel J, 2002, HEREDITY, V89, P145, DOI 10.1038/sj.hdy.6800121
   Guerrero RF, 2012, PHILOS T R SOC B, V367, P430, DOI 10.1098/rstb.2011.0246
   Halekoh U, 2006, J STAT SOFTW, V15, P1, DOI 10.18637/jss.v015.i02
   Hasson E, 1996, GENETICS, V144, P1565
   Hijmans R. J., 2012, raster: Geographic analysis and modeling with raster data, DOI DOI 10.1016/J.GEOMORPH.2016.02.012
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2004, TRENDS ECOL EVOL, V19, P482, DOI 10.1016/j.tree.2004.06.013
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   Hoffmann AA, 2008, ANNU REV ECOL EVOL S, V39, P21, DOI 10.1146/annurev.ecolsys.39.110707.173532
   Huang W, 2014, GENOME RES, V24, P1193, DOI 10.1101/gr.171546.113
   Huey RB, 2009, EXPT EVOLUTION, P670
   INOUE Y, 1979, JPN J GENET, V54, P83, DOI 10.1266/jjg.54.83
   INOUE Y, 1984, EVOLUTION, V38, P753, DOI 10.1111/j.1558-5646.1984.tb00348.x
   Inoue Y., 1979, Annual Report of the National Institute of Genetics, V29, P77
   JAMES AC, 1995, GENETICS, V140, P659
   JAMES AC, 1995, J EVOLUTION BIOL, V8, P315, DOI 10.1046/j.1420-9101.1995.8030315.x
   Joron M, 2011, NATURE, V477, P203, DOI 10.1038/nature10341
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Kapun M, 2014, MOL ECOL, V23, P1813, DOI 10.1111/mec.12594
   Kellermann V, 2015, AM NAT, V186, P582, DOI 10.1086/683252
   Kennington WJ, 2007, GENETICS, V177, P549, DOI 10.1534/genetics.107.074336
   Kennington WJ, 2013, BMC EVOL BIOL, V13, DOI 10.1186/1471-2148-13-100
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Kirkpatrick M, 2012, GENETICS, V190, P1153, DOI 10.1534/genetics.112.139899
   Kirkpatrick M, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000501
   Klepsatel P, 2014, EVOLUTION, V68, P1385, DOI 10.1111/evo.12351
   KNIBB WR, 1981, GENETICS, V98, P833
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   KNIBB WR, 1986, GENETICA, V71, P175, DOI 10.1007/BF00057691
   Kofler R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0015925
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Krimbas CB., 1992, Drosophila inversion polymorphism
   Krimbas Costas B., 1992, P127
   Lack JB, 2015, GENETICS, V199, P1229, DOI 10.1534/genetics.115.174664
   LANGLEY CH, 1977, GENETICS, V86, P447
   Langley CH, 2012, GENETICS, V192, P533, DOI 10.1534/genetics.112.142018
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Lemeunier Francoise, 1992, P339
   Levitan M, 2003, EVOL ECOL RES, V5, P597
   Levy RC, 2015, J EVOLUTION BIOL, V28, P40, DOI 10.1111/jeb.12562
   Lewontin R. C., 1974, The genetic basis of evolutionary change.
   Li H., 2013, ALIGNING SEQUENCE RE
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   Mackay TFC, 2012, NATURE, V482, P173, DOI 10.1038/nature10811
   MASRY AM, 1981, EGYPT J GENET CYTOL, V10, P261
   Meirmans PG, 2012, MOL ECOL, V21, P2839, DOI 10.1111/j.1365-294X.2012.05578.x
   MENOZZI P, 1992, J EVOLUTION BIOL, V5, P625, DOI 10.1046/j.1420-9101.1992.5040625.x
   METTLER LE, 1977, GENETICS, V87, P169
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   MUKAI T, 1977, GENETICS, V86, P175
   MUKAI T, 1974, GENETICS, V77, pS46
   Navarro A, 1997, GENETICS, V146, P695
   Navarro A, 2000, GENETICS, V155, P685
   Navarro A, 2003, EVOLUTION, V57, P447, DOI 10.1554/0014-3820(2003)057[0447:APIGIP]2.0.CO;2
   Noor MAF, 2001, P NATL ACAD SCI USA, V98, P12084, DOI 10.1073/pnas.221274498
   Orozco-TerWengel P, 2012, MOL ECOL, V21, P4931, DOI 10.1111/j.1365-294X.2012.05673.x
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Paaby AB, 2009, FLY, V3, P29, DOI 10.4161/fly.3.1.7771
   Polechová J, 2015, P NATL ACAD SCI USA, V112, P6401, DOI 10.1073/pnas.1421515112
   POWELL J.R., 1997, PROGR PROSPECTS EVOL
   Rako L, 2006, GENETICA, V128, P373, DOI 10.1007/s10709-006-7375-7
   Rane RV, 2015, MOL ECOL, V24, P2423, DOI 10.1111/mec.13161
   Reinhardt JA, 2014, GENETICS, V197, P361, DOI 10.1534/genetics.114.161463
   RHOMBERG LR, 1989, GENETICA, V78, P73, DOI 10.1007/BF00058677
   Rieseberg LH, 2001, TRENDS ECOL EVOL, V16, P351, DOI 10.1016/S0169-5347(01)02187-5
   Rodríguez-Trelles F, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2013.0228
   RodriguezTrelles F, 1996, GENETICS, V142, P179
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   SANCHEZREFUSTA F, 1990, GENET SEL EVOL, V22, P47, DOI 10.1051/gse:19900104
   Santos M, 2005, AM NAT, V165, P258, DOI 10.1086/427093
   Schaeffer SW, 2008, EVOLUTION, V62, P3082, DOI 10.1111/j.1558-5646.2008.00504.x
   Schaeffer SW, 2003, P NATL ACAD SCI USA, V100, P8319, DOI 10.1073/pnas.1432900100
   Schlötterer C, 2014, NAT REV GENET, V15, P749, DOI 10.1038/nrg3803
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2011, MECHANISMS OF LIFE HISTORY EVOLUTION: THE GENETICS AND PHYSIOLOGY OF LIFE HISTORY TRAITS AND TRADE-OFFS, P230
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sezgin E, 2004, GENETICS, V168, P923, DOI 10.1534/genetics.104.027649
   Sgrò CM, 2013, MOL ECOL, V22, P3539, DOI 10.1111/mec.12353
   Sperlich D., 1986, Genetics and Biology of Drosophila, V3e, P257
   STALKER HD, 1976, GENETICS, V82, P323
   STALKER HD, 1980, GENETICS, V95, P211
   Stefansson H, 2005, NAT GENET, V37, P129, DOI 10.1038/ng1508
   Sturtevant AH, 1936, GENETICS, V21, P554
   Sturtevant AH, 1921, P NATL ACAD SCI USA, V7, P235, DOI 10.1073/pnas.7.8.235
   Tatar M, 2001, SCIENCE, V292, P107, DOI 10.1126/science.1057987
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Weeks AR, 2002, ECOL LETT, V5, P756, DOI 10.1046/j.1461-0248.2002.00380.x
   White BJ, 2007, PLOS GENET, V3, P2404, DOI 10.1371/journal.pgen.0030217
   WRIGHT S, 1946, GENETICS, V31, P125
   Yeaman S, 2013, P NATL ACAD SCI USA, V110, pE1743, DOI 10.1073/pnas.1219381110
   Zhao L, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005184
   Zhu Y, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041901
NR 142
TC 113
Z9 118
U1 2
U2 57
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0737-4038
EI 1537-1719
J9 MOL BIOL EVOL
JI Mol. Biol. Evol.
PD MAY
PY 2016
VL 33
IS 5
BP 1317
EP 1336
DI 10.1093/molbev/msw016
PG 20
WC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Evolutionary Biology; Genetics &
   Heredity
GA DK3RK
UT WOS:000374834900016
PM 26796550
DA 2025-01-10
ER

PT J
AU Ritzema, HP
   Stuyt, LCPM
AF Ritzema, H. P.
   Stuyt, L. C. P. M.
TI Land drainage strategies to cope with climate change in the Netherlands
SO ACTA AGRICULTURAE SCANDINAVICA SECTION B-SOIL AND PLANT SCIENCE
LA English
DT Article; Proceedings Paper
CT 2013 Seminar: Does climate change demand a new approach to drainage
   design?
CY SEP 23-25, 2013
CL Sarpsborg, NORWAY
DE resilience; climate change; the Netherlands; water table control;
   nutrient leaching; controlled drainage; adaptation
ID WATER MANAGEMENT; EGYPT; DELTA
AB Since the Middle Ages the Dutch have reclaimed many lakes and parts of the sea, creating polders. Drainage is required to use the land: for the inhabitants, for agriculture and for nature. Traditionally drainage was by gravity: through open (and later pipe) drains excess rainfall was transferred into open collector drains, from where the water was pumped out to a river, lake or the sea. Since the 1950s, land use has been changing towards a more diverse and intensive agriculture, more attention for nature, recreation and continuing urbanization. On top of this, the climate is changing: significant increases in precipitation, both average and extreme. Until recently, the solution to more excess water was to increase pump capacity. Yet the combined problems of climate change, sea level rise, subsidence and urbanization require more structural changes in water management. Drainage systems have to be modified to enable the shift from a strategy of rapid removal of all excess water to one that continuously controls water levels individually in each agricultural plot. A new approach of 'retention, storage and controlled removal' is being used to develop climate adaptation scenarios for the three hydro-ecological zones in the Netherlands, i.e.: (1) the man-made polder areas with marine clay soils along the North Sea coast and the former Zuider Sea; (2) the low-lying peat lands in the west and north; and (3) the sandy and loamy soils areas in the centre, south and east. New approaches for tailor-made drainage solutions following this strategy are being tested in various pilot areas in the three zones. Although the research is still ongoing, this paper presents the lessons learned to date related to the challenges, risks and limitations associated with the introduction of these new drainage strategies for coping with climate change in the Netherlands.
C1 [Ritzema, H. P.] Wageningen Univ, Water Resources Management Chair Grp, NL-6700 AA Wageningen, Netherlands.
   [Stuyt, L. C. P. M.] Alterra, NL-6700 AA Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Ritzema, HP (corresponding author), Wageningen Univ, Water Resources Management Chair Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM henk.ritzema@wur.nl
CR Centraal Bureau voor de Statisitek (CBS), 2014, STAT LIN EL DAT STAT
   Colenbrander HJ, 1989, P INF TNO COMM HYDR, P37
   Daniels EE, 2014, INT J CLIMATOL, V34, P1773, DOI 10.1002/joc.3800
   De Bakker H., 1982, P S PEAT LANDS SEA L, V30, P85
   De Buck AJ, 2013, REGELBARE DRAINAGE A, P253
   Delta Committee, 2008, WORK WAT
   den Hartogh J.H., 2014, THESIS WAGENINGEN U
   ELATFY HE, 1991, AGR WATER MANAGE, V19, P289, DOI 10.1016/0378-3774(91)90022-B
   Essink GHPO, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008719
   KNMI, 2014, KNMI STRAT
   Koninklijk Nederlands Meteorologisch Instituut (KNMI), 2013, CLIM DAIL DAT WEATH
   Kuijper MJM, 2012, 1206925000BGS0003
   Lu Xiong, 2014, THESIS WAGENINGEN U
   Noort P. C. van den, 1987, Land Use Policy, V4, P11, DOI 10.1016/0264-8377(87)90004-4
   Oosterbaan RJ, 2006, ILRI PUBLICATION, V16, P635
   Overloop P. J. van, 2006, Irrigation and Drainage Systems, V20, P99, DOI 10.1007/s10795-006-5424-0
   Prak H, 2002, ICID P 18 C MONTR CA
   Querner EP, 2003, STROMINGEN, V9-1, P23
   Ritzema Henk, 2009, THESIS WAGENINGEN U
   Skaggs RW, 2012, J SOIL WATER CONSERV, V67, p167A, DOI 10.2489/jswc.67.6.167A
   Staarink H, 2012, THESIS WAGENINGEN U
   Staarink H., 2014, THESIS WAGENINGEN U
   Stuyt LCPM, 2013, J WATER RES IN PRESS
   Stuyt LCPM, 2013, REGELBARE DRAINAGE A, P189
   Van de Sandt K, 2010, KLIMAATADAPTATIE LAN
   Van den Eertwegh G.A.P.H., 2013, 2370 ALT, P83
   Van den Eertwegh G.A.P.H. van den, 2013, 123 FUTUREWATER
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   Van der Molen WH, 1982, P S PEAT LANDS SEA L, V30, P106
   VANDEVEN GP, 1996, MAN MADE LOWLANDS HI
   Vlotman WF, 2003, 9 INT DRAIN WORKSH S
   Wahba MAS, 2001, IRRIG DRAIN, V50, P295, DOI 10.1002/ird.29
NR 32
TC 30
Z9 35
U1 3
U2 53
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0906-4710
EI 1651-1913
J9 ACTA AGR SCAND B-S P
JI Acta Agric. Scand. Sect. B-Soil Plant Sci.
PD MAR 30
PY 2015
VL 65
SU 1
SI SI
BP 80
EP 92
DI 10.1080/09064710.2014.994557
PG 13
WC Agronomy; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA CF8ZF
UT WOS:000352850100008
DA 2025-01-10
ER

PT J
AU Pluess, AR
   Frank, A
   Heiri, C
   Lalaguee, H
   Vendramin, GG
   Oddou-Muratorio, S
AF Pluess, Andrea R.
   Frank, Aline
   Heiri, Caroline
   Lalaguee, Hadrien
   Vendramin, Giovanni G.
   Oddou-Muratorio, Sylvie
TI Genome-environment association study suggests local adaptation to
   climate at the regional scale in <i>Fagus sylvatica</i>
SO NEW PHYTOLOGIST
LA English
DT Article
DE adaptation; climate change; Fagus sylvatica (European beech);
   genome-environment association (GEA); isolation by distance; environment
   (IBD/IBE); landscape genomics; local persistence; microevolution
ID SPATIAL GENETIC-STRUCTURE; POPULATION-STRUCTURE; CANDIDATE GENES; FOREST
   TREES; BUD BURST; PATTERNS; L.; EVOLUTIONARY; DIVERSITY; RESPONSES
AB The evolutionary potential of long-lived species, such as forest trees, is fundamental for their local persistence under climate change (CC). Genome-environment association (GEA) analyses reveal if species in heterogeneous environments at the regional scale are under differential selection resulting in populations with potential preadaptation to CC within this area. In 79 natural Fagus sylvatica populations, neutral genetic patterns were characterized using 12 simple sequence repeat (SSR) markers, and genomic variation (144 single nucleotide polymorphisms (SNPs) out of 52 candidate genes) was related to 87 environmental predictors in the latent factor mixed model, logistic regressions and isolation by distance/environmental (IBD/IBE) tests. SSR diversity revealed relatedness at up to 150m intertree distance but an absence of large-scale spatial genetic structure and IBE. In the GEA analyses, 16 SNPs in 10 genes responded to one or several environmental predictors and IBE, corrected for IBD, was confirmed. The GEA often reflected the proposed gene functions, including indications for adaptation to water availability and temperature. Genomic divergence and the lack of large-scale neutral genetic patterns suggest that gene flow allows the spread of advantageous alleles in adaptive genes. Thereby, adaptation processes are likely to take place in species occurring in heterogeneous environments, which might reduce their regional extinction risk under CC.
C1 [Pluess, Andrea R.; Frank, Aline; Heiri, Caroline] Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Pluess, Andrea R.] Swiss Fed Inst Technol, Univ Str 16, CH-8092 Zurich, Switzerland.
   [Lalaguee, Hadrien; Oddou-Muratorio, Sylvie] INRA, Ecol Forets Mediterraneennes URFM, UR629, F-84914 Avignon, France.
   [Lalaguee, Hadrien] INRA, Ave France, F-97310 Kourou, France.
   [Vendramin, Giovanni G.] CNR, Inst Biosci & Bioresources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, Italy.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   for Forest, Snow & Landscape Research; Swiss Federal Institutes of
   Technology Domain; ETH Zurich; INRAE; INRAE; Consiglio Nazionale delle
   Ricerche (CNR); Istituto di Bioscienze e Biorisorse (IBBR-CNR)
RP Pluess, AR (corresponding author), Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
EM andrea.pluess@wsl.ch
RI Heiri, Caroline/S-5836-2016; Giovanni G, Vendramin/K-9731-2014
OI Giovanni G, Vendramin/0000-0001-9921-7872; Heiri,
   Caroline/0000-0002-0951-0846; ODDOU-MURATORIO,
   Sylvie/0000-0003-2374-8313; Frank, Aline/0000-0001-7008-3866
FU 'Fonds zur Forderung forstlicher Forschung, ETH'; research programme
   'Forest and climate change' - Federal Office for the Environment FOEN;
   WSL; European Commission through the FP7-project FORGER [KBBE-289119]
FX We thank E. Hennig, G. Zosso, O. Leisibach, D. Hobi and P. Hengartner
   for help with sampling leaf material, mapping trees and assessing soil
   profiles, L. Walthert and P. Weber for providing soil data for 26 sites
   and J. Remund (Meteotest) for providing interpolated climate data. We
   are grateful to R. Freimann and K. Maattanen for assistance in the
   molecular and soil chemistry lab. We thank K. Csillery, the Editor and
   three anonymous reviewers for helpful comments on the manuscript. SSR
   fragment lengths were measured at the Genetic Diversity Centre of ETH
   Zurich. Financial support was provided by 'Fonds zur Forderung
   forstlicher Forschung, ETH' and the research programme 'Forest and
   climate change' funded by the Federal Office for the Environment FOEN
   and WSL. G.G.V. was supported by a grant from the European Commission
   through the FP7-project FORGER (KBBE-289119).
CR Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Alleaume-Benharira M, 2006, J EVOLUTION BIOL, V19, P203, DOI 10.1111/j.1420-9101.2005.00976.x
   Anderson JT, 2012, PLANT PHYSIOL, V160, P1728, DOI 10.1104/pp.112.206219
   [Anonymous], COST ACTION E
   [Anonymous], 1967, Flora der Schweiz und angrenzender Gebiete
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   [Anonymous], IEASHCP9D1 SWISS MET
   [Anonymous], 2010, SCHWEIZERISCHES LAND
   Audigeos D, 2013, J EVOLUTION BIOL, V26, P529, DOI 10.1111/jeb.12069
   Bell G, 2009, ECOL LETT, V12, P942, DOI 10.1111/j.1461-0248.2009.01350.x
   BENGIS C, 1975, J BIOL CHEM, V250, P2783
   Garzón MB, 2011, GLOBAL ECOL BIOGEOGR, V20, P766, DOI 10.1111/j.1466-8238.2010.00646.x
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bontemps A, 2013, FOREST ECOL MANAG, V305, P67, DOI 10.1016/j.foreco.2013.05.033
   Buiteveld J, 2007, FOREST ECOL MANAG, V247, P98, DOI 10.1016/j.foreco.2007.04.018
   Chen J, 2014, GENETICS, V197, P1025, DOI 10.1534/genetics.114.163063
   Chybicki IJ, 2009, BOTANY, V87, P791, DOI 10.1139/B09-049
   Chybicki IJ, 2009, J HERED, V100, P106, DOI 10.1093/jhered/esn088
   Csilléry K, 2014, MOL ECOL, V23, P4696, DOI 10.1111/mec.12902
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   Derory J, 2006, NEW PHYTOL, V170, P723, DOI 10.1111/j.1469-8137.2006.01721.x
   Derory J, 2010, HEREDITY, V104, P438, DOI 10.1038/hdy.2009.134
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Eckert AJ, 2010, GENETICS, V185, P969, DOI 10.1534/genetics.110.115543
   Elumalai RP, 2002, PLANT CELL, V14, P119, DOI 10.1105/tpc.010322
   EMIGH TH, 1980, BIOMETRICS, V36, P627, DOI 10.2307/2556115
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Frichot E, 2015, HEREDITY, V115, P22, DOI 10.1038/hdy.2015.7
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Fussel H., 2012, EEA Report, P304
   Gauzere J, 2013, MOL ECOL, V22, P5001, DOI 10.1111/mec.12435
   Gömöry D, 2011, ANN FOREST SCI, V68, P975, DOI 10.1007/s13595-011-0103-1
   Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
   Goudet J., 2002, FSTAT Version 2.9.3.2. A program to estimate and test gene diversities and fixation indices
   GRIER CC, 1977, ECOLOGY, V58, P893, DOI 10.2307/1936225
   Groover AT, 2005, TRENDS PLANT SCI, V10, P210, DOI 10.1016/j.tplants.2005.03.001
   Hardy OJ, 2002, MOL ECOL NOTES, V2, P618, DOI 10.1046/j.1471-8286.2002.00305.x
   HOFFMANN AA, 1994, TRENDS ECOL EVOL, V9, P223, DOI 10.1016/0169-5347(94)90248-8
   Holliday JA, 2012, P ROY SOC B-BIOL SCI, V279, P1675, DOI 10.1098/rspb.2011.1805
   Hubisz MJ, 2009, MOL ECOL RESOUR, V9, P1322, DOI 10.1111/j.1755-0998.2009.02591.x
   Huguenin-Landl, 2014, KLIMADATEN WALDMODEL
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Kreyling J, 2014, ECOL EVOL, V4, P594, DOI 10.1002/ece3.971
   Lalagüe H, 2014, TREE GENET GENOMES, V10, P15, DOI 10.1007/s11295-013-0658-0
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Leuzinger S, 2005, TREE PHYSIOL, V25, P641, DOI 10.1093/treephys/25.6.641
   LOISELLE BA, 1995, AM J BOT, V82, P1420, DOI 10.2307/2445869
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Maathuis FJM, 2009, CURR OPIN PLANT BIOL, V12, P250, DOI 10.1016/j.pbi.2009.04.003
   Magri D, 2006, NEW PHYTOL, V171, P199, DOI 10.1111/j.1469-8137.2006.01740.x
   Robson TM, 2013, AGR FOREST METEOROL, V180, P76, DOI 10.1016/j.agrformet.2013.05.008
   Meier ES, 2011, J BIOGEOGR, V38, P371, DOI 10.1111/j.1365-2699.2010.02405.x
   Michelot A, 2012, FOREST ECOL MANAG, V265, P161, DOI 10.1016/j.foreco.2011.10.024
   Oddou-Muratorio S, 2011, MOL ECOL, V20, P1997, DOI 10.1111/j.1365-294X.2011.05039.x
   Oddou-Muratorio S, 2010, FOREST ECOL MANAG, V259, P2151, DOI 10.1016/j.foreco.2010.03.001
   Oney B, 2013, ECOL EVOL, V3, P437, DOI 10.1002/ece3.426
   Piedallu C, 2013, GLOBAL ECOL BIOGEOGR, V22, P470, DOI 10.1111/geb.12012
   Piotti A, 2012, HEREDITY, V108, P322, DOI 10.1038/hdy.2011.77
   Pluess AR, 2013, CONSERV GENET RESOUR, V5, P311, DOI 10.1007/s12686-012-9791-6
   Pluess AR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033636
   Potvin C, 1996, OECOLOGIA, V108, P683, DOI 10.1007/BF00329043
   Pritchard JK, 2000, GENETICS, V155, P945
   R Development Core Team, 2009, R: a language and environment for statistical computing
   Rajendra KC, 2014, FOREST ECOL MANAG, V319, P138, DOI 10.1016/j.foreco.2014.02.003
   Rousset F, 2000, J EVOLUTION BIOL, V13, P58
   Salmela MJ, 2014, FOREST ECOL MANAG, V312, P271, DOI 10.1016/j.foreco.2013.10.013
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Scalfi M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115499
   Strimmer K, 2008, BIOINFORMATICS, V24, P1461, DOI 10.1093/bioinformatics/btn209
   Tenaillon O, 2012, SCIENCE, V335, P457, DOI 10.1126/science.1212986
   Van Rossum F, 1997, HEREDITY, V78, P552, DOI 10.1038/hdy.1997.86
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   Warnes GR., 2003, RNews, V3, P9
   Wei H, 2005, PLANTA, V221, P406, DOI 10.1007/s00425-004-1440-1
NR 78
TC 89
Z9 98
U1 5
U2 116
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0028-646X
EI 1469-8137
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2016
VL 210
IS 2
BP 589
EP 601
DI 10.1111/nph.13809
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA DI3EH
UT WOS:000373380700022
PM 26777878
OA Bronze
DA 2025-01-10
ER

PT J
AU Johnson, L
AF Johnson, Leigh
TI Geographies of Securitized Catastrophe Risk and the Implications of
   Climate Change
SO ECONOMIC GEOGRAPHY
LA English
DT Article
DE adaptation; catastrophe; securitization; climate change; risk transfer;
   insurance
ID ECONOMIC GEOGRAPHIES; INSURANCE; FINANCE; CRISIS; ADAPTATION; CITY;
   FINANCIALIZATION; MARKETS; FUTURE; RACE
AB This article analyzes the drivers and implications of catastrophe bonds' growing popularity as an alternative asset class. As investor demand for bonds outpaces their supply from reinsurers, the study asks how the place-based physical vulnerabilities of fixed capital have been rendered into assets deemed increasingly desirable by growing blocks of financial capital. Combining data from extended interviews with industry datasets and market reports, the study demonstrates how this securitization pathway allows mobile capital on a search for yield to reframe spatial liabilities as tradable assets, thus accessing new "returns on place." By aggregating and analyzing data on approximately $37 billion in catastrophe bond transactions since 1997, the study reveals both the ongoing concentration of capital in so-called "peak perils" such as U.S. hurricane and earthquake risks, and the fragmentation and recombination of peak perils to create new risk/return profiles. These purposive, scalable, and selective financial engagements with catastrophic risks depend upon the avoidance of the fixed costs and relational entanglements borne by (re)insurers. This ambivalent relationship with geographical liabilities is reaching its logical apogee in recent proposals to expand the catastrophe bond market to capitalize on growing climate change risks. This movement to "underwrite to securitize" intentionally emulates the "originate to securitize" model pioneered in mortgage-backed securities. This study argues that such developments could ultimately yield a built environment that is both more dependent on the state as an insurer of last resort and less adapted to climate extremes.
C1 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
CR Aalbers MB, 2008, COMPET CHANG, V12, P148, DOI 10.1179/102452908X289802
   Aalbers MB, 2009, INT J URBAN REGIONAL, V33, P281, DOI 10.1111/j.1468-2427.2009.00875.x
   AIR Worldwide, 2011, CAYM ISL STOCK EXCH
   [Anonymous], MORE RETURN MORE RIS
   [Anonymous], 2009, INSURANCE INSID 0511, P17
   [Anonymous], 2004, CHANG CLIM INS SUMM
   [Anonymous], NEW POLITICAL EC
   [Anonymous], AM WAR FINANCIAL LOG
   [Anonymous], 2010, Fault lines
   [Anonymous], 2009, World at risk
   [Anonymous], LONDON REV BOOKS
   [Anonymous], HDB INSURANCE LINKED
   Aon, 2008, INS LINK SEC 2008
   Aon Benfield Securities, 2010, INS LINK SEC ANN REP
   Aon Benfield Securities, 2011, INS LINK SEC ANN REP
   Ashton P, 2009, ENVIRON PLANN A, V41, P1420, DOI 10.1068/a40328
   Bakker K, 2009, ENVIRON PLANN A, V41, P1781, DOI 10.1068/a4277
   Barrieu P., 2009, The Handbook of Insurance-Linked Securities
   Beck U, 1992, RISK SOC NEW MODERNI
   Benfield Group, 2008, GLOB REINS MARK REV
   Blackburn R, 2006, NEW LEFT REV, P39
   Bougen PD, 2003, ECON SOC, V32, P253, DOI 10.1080/0308514032000073428
   Boyer R, 2000, INT J URBAN REGIONAL, V24, P274, DOI 10.1111/1468-2427.00250
   Bryan D, 2006, CAPITALISM WITH DERIVATIVES: A POLITICAL ECONOMY OF FINANCIAL DERIVATIVES, CAPITAL AND CLASS, P1, DOI 10.1057/9780230501546
   Charpentier A, 2008, GENEVA PAP R I-ISS P, V33, P91, DOI 10.1057/palgrave.gpp.2510155
   Chemarin S, 2008, GENEVA PAP R I-ISS P, V33, P66, DOI 10.1057/palgrave.gpp.2510157
   Christophers B, 2009, PROG HUM GEOG, V33, P807, DOI 10.1177/0309132509336508
   Clark G.L., 2005, The sociology of financial markets, P229
   Clark GL, 1998, ANN ASSOC AM GEOGR, V88, P73, DOI 10.1111/1467-8306.00085
   Clark GL, 1997, REG STUD, V31, P221, DOI 10.1080/00343409750134656
   Clark GL, 2006, ROUTL STUD ECON GEOG, P83
   Collier SJ, 2008, ECON SOC, V37, P224, DOI 10.1080/03085140801933280
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Crompton RP, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/1/014003
   Csiszar EN, 2007, GENEVA PAP R I-ISS P, V32, P319, DOI 10.1057/palgrave.gpp.2510134
   Culp C.L., 2002, ART RISK MANAGEMENT
   De Goede Marieke., 2005, Virtue, Fortune and Faith: A Genealogy o f Finance
   Emanuel K, 2008, B AM METEOROL SOC, V89, P347, DOI 10.1175/BAMS-89-3-347
   Engelen E., 2009, MANAGING FINANCIAL R, P120, DOI DOI 10.1093/ACPROF:OSO/9780199557431.001.0001
   Engelen E., 2012, WILEY BLACKWELL COMP, P242
   Engelen E, 2009, J ECON GEOGR, V9, P587, DOI 10.1093/jeg/lbp037
   Ericson R, 2004, ECON SOC, V33, P135, DOI 10.1080/03085140410001677102
   Ericson Richard., 2004, Uncertain Business: Risk Insurance and the Limits of Knowledge
   French S., 2012, PROGR HUMAN GEOGRAPH, V36, P1
   French S, 2009, CAMB J REG ECON SOC, V2, P287, DOI 10.1093/cjres/rsp013
   Geneva Association, 2009, GEN REP RISK INS RES
   Group of Thirty, 2006, REINS INT FIN MARK
   Grove K, 2012, SECUR DIALOGUE, V43, P139, DOI 10.1177/0967010612438434
   Guy Carpenter and Company, 2006, WORLD CAT REINS MARK
   Guy Carpenter and Company, 2008, WORLD CAT REINS MARK
   Guy Carpenter and Company, 2011, GLOB REINS OUTL POIN
   Hall S, 2013, PROG HUM GEOG, V37, P285, DOI 10.1177/0309132512443488
   Hartwig R, 2008, 2007 YEAR END RESULT
   Harvey David., 1982, The Limits to Capital
   Herweijer C, 2009, GENEVA PAP R I-ISS P, V34, P360, DOI 10.1057/gpp.2009.13
   Ho Karen., 2009, Liquidated: An Ethnography of Wall Street
   IAIS, 2009, GLOB REINS MARK REP
   Jaffee DM, 1997, J RISK INSUR, V64, P205, DOI 10.2307/253729
   Jagers SverkerC., 2005, The Business of Global Environmental Governance, P249
   Johnson L, 2013, GEOFORUM, V45, P30, DOI 10.1016/j.geoforum.2012.04.003
   Johnson L, 2011, GLOBAL POLITICAL ECOLOGY, P185
   Johnson Leigh, 2011, Insuring Climate Change? Science, Fear, and Value in Reinsurance Markets
   Kelleher E., 2011, FINANCIAL TIMES
   Kent J, 2010, ROYAL GAZETTE   0317
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Kohn M., 2004, FINANCIAL I MARKETS, VSecond
   Lane M., 2010, TRADE NOTES     0630
   Lane M., 2009, GENUINE ALPHA PERFEC
   Lane M., 2010, ANN REV 4 QUARTERS Q
   Lee R, 2009, J ECON GEOGR, V9, P723, DOI 10.1093/jeg/lbp035
   Lépinay VA, 2007, SOCIOL REV, V55, P261, DOI 10.1111/j.1467-954X.2007.00739.x
   Lewis M., 2007, NY TIMES MAGAZI 0827, p[26, 49]
   Leyshon A, 2007, THEOR CULT SOC, V24, P97, DOI 10.1177/0263276407084699
   LiPuma Edward., 2004, FINANCIAL DERIVATIVE
   MacKenzie Donald., 2008, LONDON REV BOOKS, V30, P24
   MacKenzie Donald., 2006, An Engine, Not a Camera: How Financial Models Shape Markets
   Martin R, 2011, J ECON GEOGR, V11, P587, DOI 10.1093/jeg/lbq024
   MCDOWELL L, 1992, PROF GEOGR, V44, P212
   McDowell L, 1998, ENVIRON PLANN A, V30, P2133, DOI 10.1068/a302133
   Michel-Kerjan E, 2008, GENEVA PAP R I-ISS P, V33, P153, DOI 10.1057/palgrave.gpp.2510159
   Moore J.W., 2000, Organization Environment, V13, P123, DOI [10.1177/1086026600132001, DOI 10.1177/1086026600132001]
   Munich Reinsurance, 2006, HURR MOR INT MOR FRE
   Muniesa F, 2007, SOCIOL REV, V55, P1, DOI 10.1111/j.1467-954X.2007.00727.x
   Newman K, 2009, INT J URBAN REGIONAL, V33, P314, DOI 10.1111/j.1468-2427.2009.00863.x
   O'Malley P, 2003, ECON SOC, V32, P275, DOI 10.1080/0308514032000073437
   O'Neill P.M., 2009, MANAGING FINANCIAL R, P163, DOI DOI 10.1093/ACPROF:OSO/9780199557431.003.0008
   Parry B, 1998, ENVIRON PLANN A, V30, P2147, DOI 10.1068/a302147
   Pielke R. A., 2008, Nat. hazards Rev, V9, P29, DOI [10.1061/(asce)1527-6988(2008)9:1(29), DOI 10.1061/(ASCE)1527-6988(2008)9:1(29), 10.1061/(ASCE)1527-6988(2008)9:1(29)]
   Pike A, 2010, ECON GEOGR, V86, P29
   Pollard JS, 2008, GEOFORUM, V39, P616, DOI 10.1016/j.geoforum.2006.03.008
   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
   Randalls S, 2006, THESIS U BIRMINGHAM
   SCHOENBERGER E, 1991, PROF GEOGR, V43, P180, DOI 10.1111/j.0033-0124.1991.00180.x
   Schwierz C, 2010, CLIMATIC CHANGE, V101, P485, DOI 10.1007/s10584-009-9712-1
   Sinclair T., 2005, The New Masters of Capital: American Bond Rating Agencies and the Politics of Creditworthiness
   Smith N., 1984, Uneven Development: Nature, Capital and the Production of Space
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Standard & Poor's, 2011, M RE LTD SER 2010 1
   Standard & Poor's, 2009, METH ASS RAT NAT CAT
   Sturm T, 2010, GEOFORUM, V41, P154, DOI 10.1016/j.geoforum.2009.09.010
   Swiss Reinsurance, 2010, SIGM 2 2010
   Swiss Reinsurance, 2004, FOC REP HURR SEAS 20
   Swiss Reinsurance, 2009, SIGM 4 2009
   Swiss Reinsurance, 2006, SIGM 2 2006
   Thornes JE, 2007, GEOGR ANN A, V89A, P273, DOI 10.1111/j.1468-0459.2007.00326.x
   Tickell A, 1996, ENVIRON PLANN D, V14, P5, DOI 10.1068/d140005
   Trading Risk, 2011, TRAD RISK NEWSL
   Trading Risk, 2010, SECR 250MN MERN RE 3, V4
   Trading Risk, 2010, TRAD RISK DEAL DIR
   Trading Risk, 2011, FIN LEHM STRUCK BOND
   Trading Risk, 2013, TRAD RISK NEWSL
   Wainwright T, 2009, INT J URBAN REGIONAL, V33, P372, DOI 10.1111/j.1468-2427.2009.00876.x
   Wallin U., 2010, CEO FORUM HANNOVER R
   Ward RET, 2008, GENEVA PAP R I-ISS P, V33, P133, DOI 10.1057/palgrave.gpp.2510153
   Wemmer D, 2008, GENEVA PAP R I-ISS P, V33, P1, DOI 10.1057/palgrave.gpp.2510161
   World Economic Forum, 2008, WEF WORK PAP
   Wyly EK, 2006, GEOGR ANN B, V88B, P105, DOI 10.1111/j.0435-3684.2006.00208.x
   Wyly EK, 2004, HOUS POLICY DEBATE, V15, P623
   Wyly E, 2009, INT J URBAN REGIONAL, V33, P332, DOI 10.1111/j.1468-2427.2009.00870.x
   Yeung HWC, 2003, ANN ASSOC AM GEOGR, V93, P442, DOI 10.1111/1467-8306.9302011
NR 121
TC 42
Z9 49
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U2 62
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0013-0095
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JI Econ. Geogr.
PD APR
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WC Economics; Geography
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GA AE1CJ
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DA 2025-01-10
ER

PT J
AU Tans, R
AF Tans, Ryan
TI Social Movements and Climate Adaptation: The Provincial Politics of
   Coastal Reclamation in Indonesia
SO PERSPECTIVES ON POLITICS
LA English
DT Article; Early Access
ID LAND
AB Anti-reclamation movements are common in Indonesia, but their effectiveness varies. Such movements, which oppose the infilling of coastal waters and wetlands, consistently draw support from environmentalists, fisherfolk, and coastal residents. To succeed, however, they must transcend these constituencies and mobilize broad coalitions. In this paper, I apply the concept of political opportunity to explain variation in the ability of anti-reclamation movements to achieve this goal. Specifically, I argue that the opportunity to build broad coalitions depends on the positioning of political, economic, and communal elites. Disagreement among these groups creates opportunities for activists to recruit some of them as allies in the construction of economically diverse, cross-class coalitions. Consensus, by contrast, excludes elites as potential allies, forcing activists to build geographically expansive but class-based coalitions. To develop my argument, I draw on local news archives and primary source documents to compare similarly situated anti-reclamation movements in Bali and Makassar. In Bali, the movement flourished by cultivating an alliance with communal elites and local businesses. In Makassar, the movement withered because public officials, local businesses, and communal elites all welcomed reclamation. My findings imply that anti-reclamation movements are most likely to succeed when they emphasize communal identities with cross-class appeal. Yet such tactics alienate parallel movements from one another and undermine national activism. As a result, anti-reclamation movements fight the same battles over and over without achieving national reforms that would empower coastal communities to participate in coastal planning. Under such conditions, reclamation deepens the vulnerability of coastal communities to climate change.
C1 [Tans, Ryan] Yale NUS Coll, Philosophy Polit & Econ, Singapore, Singapore.
C3 Yale NUS College
RP Tans, R (corresponding author), Yale NUS Coll, Philosophy Polit & Econ, Singapore, Singapore.
EM rtans@yale-nus.edu.sg
RI Tans, Ryan/AGQ-3844-2022
FU Environmental Justice and the Common Good Initiative; American Institute
   for Indonesian Studies; Common Good Initiative at Santa Clara
   University; Yale-NUS College
FX The author is grateful to Shane Barter, Jamie Davidson, Douglas Kammen,
   Naomi Levy, Gedeon Lim, Jeremy Menchik, Steve Oliver, Rita Padawangi,
   Tom Pepinsky, Jake Ricks, Nono Sumampouw, Bastien Van Veen, members of
   the Asian Urbanisms Cluster at Asia Research Institute, and five
   anonymous reviewers for valuable feedback on this project. In Denpasar,
   Bali Post generously shared its digital archive. In Makassar, Anwar
   Jimpe Rachman shared friendship and expertise. Financial and
   institutional support were provided by American Institute for Indonesian
   Studies, the Environmental Justice and the Common Good Initiative at
   Santa Clara University, Tanahindie Urban Research Institute, and
   Yale-NUS College.
CR Aditjondro G. J., 1998, The politics of environment in Southeast Asia: resources and resistance., P29
   Aliansi Selamatkan Pesisir, 2015, Hapus Alokasi Ruang Reklamasi Pesisir Makassar Di Dalam Ranperda RTRW Kota Makassar 2015-2035
   Aliansi Selamatkan Pesisir, 2015, Alasan Kenapa Reklamasi Pesisir Makassar Harus Ditolak
   Almeida P, 1998, SOC PROBL, V45, P37, DOI 10.1525/sp.1998.45.1.03x0156z
   Ambari M., 2019, Mongabay
   ANDAYA LY, 1984, J SOUTHE ASIAN STUD, V15, P22, DOI 10.1017/S0022463400012194
   Andi Hajramurni, 2015, Jakarta Post
   Andrew Carruthers, 2016, ISEAS-Yusof Ishak Institute Perspective
   [Anonymous], 2011, FajarMay 18.
   [Anonymous], 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P321, DOI [10.1017/9781009157964.006, DOI 10.1017/9781009157964.006]
   [Anonymous], 2016, Bali Post
   [Anonymous], 2013, Bali PostAugust 1
   [Anonymous], 2012, FajarSeptember 8
   [Anonymous], 2016, Tribun Timur.April 20
   [Anonymous], 2014, FajarApril 2
   [Anonymous], 2016, Bali PostApril 6
   [Anonymous], 2013, Bali PostAugust 3
   [Anonymous], 2011, FajarApril 19
   [Anonymous], 2015, Fajar
   [Anonymous], 2014, FajarSeptember 1
   [Anonymous], 2016, Bali PostFebruary 29
   [Anonymous], 2016, Bali PostJanuary 30
   [Anonymous], 2015, Bali Post
   [Anonymous], 2013, Bali Post
   [Anonymous], 2014, Surat Kabar ForBALI Forum Rakyat Bali Tolak Reklamasi, V1
   [Anonymous], 2016, Bali PostMay 28
   [Anonymous], 2013, Bali PostJuly 7
   [Anonymous], 2016, Bali PostJanuary 26
   [Anonymous], 2013, Fajar
   [Anonymous], 2013, Bali PostJuly 8
   [Anonymous], 2016, BBC News IndonesiaJune 3
   [Anonymous], 2011, FajarMay 4.
   [Anonymous], 2016, Walhi vs Gubernur Provinsi Sulawesi Selatan, 11/G/LH/2016/PTUN.Mks
   [Anonymous], 2014, Berita Satu.November 16
   [Anonymous], 2010, FajarMarch 24.
   Anton Muhajir, 2014, Rumah Tulisan
   Aprilya Aziziah Diah., 2023, Riwayat Gunung dan Silsilah Laut: Sejarah Baru tentang Air, Perkampungan, dan Migrasi di Makassar, Nabire, Labuan Bajo, Parepare, dan Pangkep
   Ardy Muchlis, 2017, Tribun TimurApril 20
   BaleBengong Editors, 2016, BaleBengong (blog)
   Bedner Adriaan., 2023, Routledge Handbook of Civil and Uncivil Society in Southeast Asia, P81, DOI [10.4324/9780367422080-6, DOI 10.4324/9780367422080-6]
   Betteridge B, 2019, ENVIRON PLAN E-NAT, V2, P944, DOI 10.1177/2514848619853985
   Bisaro A, 2020, CLIMATIC CHANGE, V160, P671, DOI 10.1007/s10584-019-02507-5
   Bisaro A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.514
   Bisarol A, 2019, ERDE, V150, P131, DOI 10.12854/erde-2019-453
   Boskalis, 2016, Boskalis Wins EUR 80 Million Contract for Artificial Islands in Indonesia
   Boudreau Vincent., 2004, Resisting Dictatorship: Repression and Protest in Southeast Asia
   Brauchler B, 2020, CONVERGENCE-US, V26, P620, DOI 10.1177/1354856518806695
   Bräuchler B, 2018, SOJOURN, V33, P362, DOI 10.1355/sj33-2f
   Brooker MeganE., 2018, The Wiley Blackwell Companion to Social Movements, V2nd, P252, DOI DOI 10.1002/9781119168577
   Bsumek Erika., 2023, The Foundations of Glen Canyon Dam: Infrastructures of Dispossession on the Colorado Plateau
   Buehler Michael., 2007, INDONESIA, V84, P41
   Buku Statistik Pariwisata Bali, 2019, Dinas Pariwisata Bali
   Caraway TL, 2020, CAMB STUD CONTENT, P1, DOI 10.1017/9781108777858
   Colven E, 2017, WATER ALTERN, V10, P250
   Corry Elyda, 2016, Jakarta PostJanuary 13
   Danny Marks, 2023, SE AS RES GROUP SUMM
   Darwin Fatir, 2017, Antara SulselJuly 17
   Davidson Jamie., 2015, Indonesias Changing Political Economy: Governing the Roads, DOI [10.1017/CBO9781316091760, DOI 10.1017/CBO9781316091760]
   Dedekorkut-Howes A, 2020, J ENVIRON PLANN MAN, V63, P2102, DOI 10.1080/09640568.2019.1708709
   Dessthania Suastha Riva, 2016, CNN Indonesia
   Djabier Magenda Burhan, 1989, The Surviving Aristocracy in Indonesia: Politics in Three Provinces of the Outer Islands, VI and II
   Doner RichardF., 2009, The Politics of Uneven Development: Thailand's Economic Growth in Comparative Perspective
   Douglas Kammen, 1997, A Time to Strike: Industrial Strikes and Changing Class Relations in New Order Indonesia
   Eko Rusdianto, 2015, Mongabay
   Engelstad F, 2009, COMP SOCIOL, V8, P383, DOI 10.1163/156913309X447585
   Erika Bsumek, 2013, RCC Perspectives, V2013, DOI [10.5282/rcc/6206, DOI 10.5282/RCC/6206]
   Erviani Ni Komang, 2013, Mongabay
   Fairfield Tasha., 2015, PRIVATE WEALTH PUBLI
   Fajar, 2012, Warga Protes Pembangunan Rumah Ibadah
   Fajar, 2013, Hakim Tinjau Lahan Sengketa Di Barombong
   Fajar, Hentikan Reklamasi Di Kawasan Pesisir: Staf Ahli Wali Kota Serang Pemprov
   ForBALI, 2013, Pernyataan Sikap
   ForBALI, 2016, Pemuda Denpasar Dan Gianyar Gelar Aksi Tolak Reklamasi
   ForBALI. N.d, Kronologi
   Fox-Kemper B., 2021, CLIMATE CHANGE 2021, P1211
   Gerring J, 2007, CASE STUDY RESEARCH: PRINCIPLES AND PRACTICES, P86
   Giras Pasopati, 2016, CNN Indonesia
   Gnagey M, 2018, B INDONES ECON STUD, V54, P61, DOI 10.1080/00074918.2018.1436158
   Gubernur Bali, 2019, Peraturan Daerah Provinsi Bali Nomor 4 Tahun 2019 Tentang Desa Adat di Bali
   Hein J, 2023, ENVIRON PLAN E-NAT, V6, P153, DOI 10.1177/25148486221098825
   Herbeck J, 2019, ERDE, V150, P118, DOI 10.12854/erde-2019-451
   Higley John., 2018, The Palgrave Handbook of Political Elites
   Hilda Alexander, 2015, Kompas.ComMay 15
   History Program, 2011, Brief History of the Bureau of Reclamation
   Hochstetler Kathryn., 2007, Greening Brazil: Environmental Activism in State and Society
   Hudalah D, 2023, HABITAT INT, V141, DOI 10.1016/j.habitatint.2023.102933
   Insarov GE, 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
   Iqbal, 2014, Position paper
   Jellinek Lea., 2017, Consuming Cities: The Urban Environment in the Global Economy after the Rio Declaration, P265
   Johnny Langenheim, 2016, The Guardian
   Khagram Sanjeev., 2004, DAMS DEV TRANSNATION, DOI DOI 10.7591/9781501727399
   Koalisi Seni Indonesia, 2019, Dampak Seni Di Masyarakat
   Koo Hagen., 2001, Korean Workers: The Culture and Politics of Class Formation
   Kusno A, 2011, INTER-ASIA CULT STUD, V12, P513, DOI 10.1080/14649373.2011.603916
   Kusno Abidin., 2013, After the New Order: Space, Politics, and Jakarta
   LBH. Makassar WALHI. Sulsel KontraS. Sulawesi Blue. Forest Solidaritas Perempuan. Angingmammiri ACC. Sulawesi LAPAR. Sulawesi, 2015, Aliansi Selamatkan Pesisir Tolak Alokasi Ruang Reklamasi Dalam Ranperda RTRW Kota Makassar 2011-2031
   Lembaga Bantuan Hukum Makassar, 2015, Aliansi Selamatkan Pesisir Berkunjung Ke Warga Korban Reklamasi Di Tallo
   Lembaga Kebijakan Pengadaan Barang/Jasa Pemerintah, 2023, Layanan Pengadaan Secara Elektronik Sulawesi Selatan
   Ley, 2021, BUILDING BORROWED TI
   Lilian Mellejor, 2015, Philippines News Agency
   Luh Rhismawati Ni, 2013, Antara BaliJuly 5
   Lusia Arumingtyas, 2016, Mongabay
   McAdam Doug., 1996, COMP PERSPECTIVES SO, P23, DOI DOI 10.1017/CBO9780511803987.003
   McAdam Doug., 1996, Comparative Perspectives on Social Movements. Eds, P338, DOI DOI 10.1017/CBO9780511803987.017
   Meliala Fransiskus Chandra Dwiputra., 2023, Jurnal Politik, V9, DOI [http://doi.org/10.7454/jp.v9i1.1139, DOI 10.7454/JP.V9I1.1139]
   Metro Bali, 2014, Penolakan reklamasi Teluk Benoa semakin meluas
   Metro Bali, 2015, Ribuan massa dukung reklamasi Teluk Benoa kepung DPRD Bali
   Meyer DS, 2004, ANNU REV SOCIOL, V30, P125, DOI 10.1146/annurev.soc.30.012703.110545
   Minnesota Population Center, 2017, IPUMS
   Mirayanti Hutauruk Dina, 2018, KontanMarch 4
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Neville K.J., 2021, FUELING RESISTANCE C
   Nicholls RJ, 2021, NAT CLIM CHANGE, V11, P338, DOI 10.1038/s41558-021-00993-z
   Nordholt HS, 2007, VERH KONIK, V238, P387
   Nur Rachmat, 2017, Bisnis SulawesiAugust 5
   Padawangi Rita., 2019, People and Climate Change: Vulnerability, Adaptation, and Social Justice, P122
   Padawangi Rita., 2023, Routledge Handbook of Civil and Uncivil Society in Southeast Asia, P65, DOI [10.4324/9780367422080-5, DOI 10.4324/9780367422080-5]
   Padawangi Rita., 2022, Urban Development in Southeast Asia
   Pim Willemsen, 2019, Deltares Project Report
   Provinsi Bali Dalam Angka, 2018, Badan Pusat Statistik Provinsi Bali
   PT. Karya Mandiri Surya Sejahtera. N.d, Untuk Kemajuan Dunia Konstruksi
   Rahmat Hardiansya, 2017, MongabayJuly 10
   Rahmat Hardiansya, 2017, Mongabay
   Raizza Bello, 2021, Rappler
   Rap E, 2019, INT J COMMONS, V13, P84, DOI 10.18352/ijc.919
   Rasid, 2013, FajarDecember 9
   Rasid, 2014, FajarJanuary 31
   Ricks JI, 2018, PS-POLIT SCI POLIT, V51, P842, DOI 10.1017/S1049096518000975
   Ridwan Marzuki, 2015, FajarJanuary 26
   Saras Dewi, 2015, ForBALI official website (blog)
   Sari L, 2024, J CURR SE ASIAN AFF, V43, P198, DOI 10.1177/18681034241266009
   Sengupta D, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF002927
   Siriwardane-de Zoysa R, 2020, MAR POLICY, V112, DOI 10.1016/j.marpol.2019.103661
   Slater D, 2009, AM J SOCIOL, V115, P203, DOI 10.1086/597796
   Slater Dan., 2010, Cambridge Studies in Comparative Politics, DOI [10.1017/CBO9780511760891, DOI 10.1017/CBO9780511760891]
   Sugi Lanus, 2014, Wara-wiri Budaya (blog)
   Suparta I, 2013, Antara BaliNovember 19
   Supriatma Made., 2016, Harian IndoPROGRESS, V17
   Susilo CR, 2018, ASIAN CIT, V7, P283, DOI 10.1515/9789048536252-014
   Sutherland H, 2011, COMP STUD SOC HIST, V53, P791, DOI 10.1017/S0010417511000417
   Tanahindie, 2022, Pseudonymous Interview Transcript with Asmujo
   Tans R, 2021, ASIAN POLIT POLICY, V13, P128, DOI 10.1111/aspp.12563
   Tans R, 2020, J EAST ASIAN STUD, V20, P375, DOI 10.1017/jea.2020.15
   Tans Ryan., 2023, Routledge Handbook of Civil and Uncivil Society in Southeast Asia, P293
   Tarrow Sidney., 1996, COMP PERSPECTIVES SO, DOI DOI 10.1017/CBO9780511803987.004
   Tommy Apriando, 2014, Mongabay
   Tsing AL, 2005, FRICTION: AN ETHNOGRAPHY OF GLOBAL CONNECTION, P1
   Valenzuela VPB, 2023, ANTHROPOCENE COASTS, V6, DOI 10.1007/s44218-023-00028-4
   Valenzuela VPB, 2020, INT J DISAST RISK SC, V11, P640, DOI 10.1007/s13753-020-00300-y
   van der Muur Willem, 2019, Land Rights and the Forces of Adat in Democratizing Indonesia: Continuous Conflict between Plantations, Farmers, and Forests in South Sulawesi
   Wahyu Chandra, 2017, MongabayJune 27
   Wahyu Chandra, 2020, MongabayJuly 4
   Wahyu Chandra, 2017, MongabaySeptember 27
   Wahyu Chandra, 2014, MongabayApril 18
   Wahyu Chandra, 2016, MongabayFebruary 14
   Wahyu Chandra, 2018, MongabayMarch 10
   Wahyu Chandra, 2017, MongabayJune 17
   Walhi Sulsel Official Website, 2018, Gubernur Sulsel: Saya Berjanji Akan Menghapus Alokasi Tambang Pasir Laut dalam Ranperda RZWP3K Provinsi
   Walikota Makassar, 2015, Peraturan Daerah Kota Makassar Nomor 4 Tahun 2015 Tentang Rencana Tata Ruang Wilayah Kota Makassar 2015-2034
   Warburton E, 2018, J SOUTHEAST ASIAN EC, V35, P355, DOI 10.1355/ae35-3c
   Warburton E, 2016, B INDONES ECON STUD, V52, P297, DOI 10.1080/00074918.2016.1249262
   Wardana A., 2019, Contemporary Bali: Contested Space and Governance
   Warren Carol., 1998, The Politics of Environment in Southeast Asia, P243
   Weiss MeredithLeigh., 2006, Protest and Possibilities: Civil Society and Coalitions for Political Change in Malaysia
   Wilson JamesQ., 1995, POLITICAL ORG
   Wiranata Anom., 2019, Jurnal Kajian Bali, V9, P407
   Yorhanita Frista., 2019, Reklamasi Di Indonesia
   Yusriadi Irwan, 2012, FajarOctober 14
   Zald MayerN., 1996, COMP PERSPECTIVES SO, DOI DOI 10.1017/CBO9780511803987.013
   Zald MayerN., 1987, SOCIAL MOVEMENTS ORG, P161
NR 170
TC 0
Z9 0
U1 0
U2 0
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1537-5927
EI 1541-0986
J9 PERSPECT POLIT
JI Perspect. Polit.
PD 2024 DEC 20
PY 2024
DI 10.1017/S1537592724001737
EA DEC 2024
PG 25
WC Political Science
WE Social Science Citation Index (SSCI)
SC Government & Law
GA Q0B4K
UT WOS:001381447000001
DA 2025-01-10
ER

PT J
AU Islam, M
   Kotani, K
   Managi, S
AF Islam, Moinul
   Kotani, Koji
   Managi, Shunsuke
TI Nature dependence and seasonality change perceptions for climate
   adaptation and mitigation
SO ECONOMIC ANALYSIS AND POLICY
LA English
DT Article
DE Climate change; Perceptions to seasonality change; Nature dependence;
   Experiences of natural disasters; Adaptation; Mitigation; SDGs
ID RISK PERCEPTION; LOCAL WEATHER; GREEN SPACE; EXPERIENCE; PREFERENCES;
   COOPERATION; BANGLADESH; ATTITUDES; RESPONSES; COGNITION
AB Global climate change is a scientifically demonstrated phenomenon, but there are discrepancies in societies about how people perceive it. People's correct perceptions to climate change are necessary for their cooperative acts and behaviors toward adaptation and mitigation. While most research in this regard focuses on temporal trends of specific climate variables, e.g., temperature and rainfall, in relation to socio-demographic factors, few reports have systematically examined who perceive a change in climatic regularity and patterns, i.e., seasonality change. We hypothesize that people tend to perceive the seasonality change as their life practices and experiences are dependent on climate and nature. Interviews with 7 experts and surveys with 1011 respondents were conducted in the Meghna basin, Bangladesh, where the number of seasons in an annual calendar is reported to have decreased from six to four (Islam and Kotani, 2016). With the data, this research investigates people's perceptions to seasonality change in relation to life practices, experiences and socioeconomic factors. The analysis shows that dependence on natural resources in the profession along with experiences of natural disasters and life history in the dwelling locations shape people's correct perceptions to climate seasonality. This result suggests that people are not likely to realize the seasonality change as they are dwelling in urban areas with high mobility or as their life is detached from climate and nature, being neither willing nor cooperative to take adaptation and mitigation.
C1 [Islam, Moinul; Kotani, Koji] Kochi Univ Technol, Res Inst Future Design, Kochi, Japan.
   [Islam, Moinul; Kotani, Koji] Kochi Univ Technol, Sch Econ & Management, Kochi, Japan.
   [Islam, Moinul; Kotani, Koji; Managi, Shunsuke] Kyushu Univ, Urban Inst, Fukuoka, Japan.
   [Kotani, Koji] Rikkyo Univ, Coll Business, Toshima, Japan.
   [Managi, Shunsuke] Kyushu Univ, Sch Engn, Fukuoka, Japan.
C3 Kochi University Technology; Kochi University Technology; Kyushu
   University; Rikkyo University; Kyushu University
RP Kotani, K (corresponding author), Kochi Univ Technol, Res Inst Future Design, Kochi, Japan.
EM kojikotani757@gmail.com
RI Kotani, Koji/X-7947-2019; Islam, Moinul/M-9369-2019; Kotani,
   Koji/C-6896-2011
OI Islam, Moinul/0000-0002-0309-3156; Kotani, Koji/0000-0003-0667-1895
FU Grants-in-Aid for Scientific Research [20H00648] Funding Source: KAKEN
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   Anguluri R, 2017, URBAN FOR URBAN GREE, V25, P58, DOI 10.1016/j.ufug.2017.04.007
   [Anonymous], 2009, INTRO ECONOMETRICS M
   Capstick SB, 2014, CLIMATIC CHANGE, V122, P695, DOI 10.1007/s10584-013-1003-1
   Chowdhury MR, 2000, NAT HAZARDS, V22, P139, DOI 10.1023/A:1008151023157
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Dai J, 2015, ECOL ECON, V116, P310, DOI 10.1016/j.ecolecon.2015.05.001
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Egan PJ, 2012, J POLIT, V74, P796, DOI 10.1017/S0022381612000448
   Feng X, 2013, NAT CLIM CHANGE, V3, P811, DOI [10.1038/NCLIMATE1907, 10.1038/nclimate1907]
   Ferguson MJ, 2004, TRENDS COGN SCI, V8, P33, DOI 10.1016/j.tics.2003.11.004
   Few R, 2007, GLOBAL ENVIRON CHANG, V17, P281, DOI 10.1016/j.gloenvcha.2006.11.001
   Fischer LK, 2018, GLOBAL ENVIRON CHANG, V49, P35, DOI 10.1016/j.gloenvcha.2018.02.001
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Frondel M, 2017, ECOL ECON, V137, P173, DOI 10.1016/j.ecolecon.2017.02.019
   Funatsu BM, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.007
   Gaston KJ, 2020, PEOPLE NAT, V2, P575, DOI 10.1002/pan3.10118
   Goebbert K, 2012, WEATHER CLIM SOC, V4, P132, DOI 10.1175/WCAS-D-11-00044.1
   Gray CL, 2012, P NATL ACAD SCI USA, V109, P6000, DOI 10.1073/pnas.1115944109
   Gromet DM, 2013, P NATL ACAD SCI USA, V110, P9314, DOI 10.1073/pnas.1218453110
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hamilton LC, 2009, INT J CLIMATOL, V29, P2348, DOI 10.1002/joc.1930
   Henderson JV, 2016, SCIENCE, V352, P946, DOI 10.1126/science.aaf7150
   Hernuryadin Y, 2020, LAND ECON, V96, P132, DOI 10.3368/le.96.1.132
   HOGG MA, 1987, BRIT J SOC PSYCHOL, V26, P325, DOI 10.1111/j.2044-8309.1987.tb00795.x
   Howe PD, 2013, NAT CLIM CHANGE, V3, P352, DOI [10.1038/nclimate1768, 10.1038/NCLIMATE1768]
   Islam M, 2016, ECON ANAL POLICY, V49, P117, DOI 10.1016/j.eap.2016.01.001
   Islam M, 2016, REG ENVIRON CHANGE, V16, P585, DOI 10.1007/s10113-015-0758-5
   Jorgensen SL, 2016, CLIMATIC CHANGE, V138, P283, DOI 10.1007/s10584-016-1718-x
   Kabir A, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09968-z
   Kabisch N, 2016, ECOL INDIC, V70, P586, DOI 10.1016/j.ecolind.2016.02.029
   Kahan DM, 2011, J RISK RES, V14, P147, DOI 10.1080/13669877.2010.511246
   Kahneman D., 2011, Thinking, fast and slow
   Kvaloy B, 2012, J PEACE RES, V49, P11, DOI 10.1177/0022343311425841
   Lee YJ, 2019, ENVIRON SCI POLLUT R, V26, P30603, DOI 10.1007/s11356-018-1358-y
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Liberman N, 2008, SCIENCE, V322, P1201, DOI 10.1126/science.1161958
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Macmillan N.A., 2005, DETECTION THEORY USE
   Marie M, 2021, ENVIRON DEV SUSTAIN, V23, P12904, DOI 10.1007/s10668-020-01192-0
   McCright AM, 2011, GLOBAL ENVIRON CHANG, V21, P1163, DOI 10.1016/j.gloenvcha.2011.06.003
   McDonnell MJ, 2016, SCIENCE, V352, P936, DOI 10.1126/science.aaf3630
   Neumayer E, 2014, GLOBAL ENVIRON CHANG, V24, P8, DOI 10.1016/j.gloenvcha.2013.03.011
   Nisbet EK, 2011, PSYCHOL SCI, V22, P1101, DOI 10.1177/0956797611418527
   Reser JP, 2014, WIRES CLIM CHANGE, V5, P521, DOI 10.1002/wcc.286
   Roncoli C., 2010, ADAPTATION CLIMATE C
   Juan MR, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09964-3
   Sheppard S. R. J., 2012, Visualizing climate change: a guide to visual communication of climate change and developing local solutions
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Smith Adam., 1982, An Inquiry Into the Nature and Causes of the Wealth of Nations, V1
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Stanislaw H, 1999, BEHAV RES METH INS C, V31, P137, DOI 10.3758/BF03207704
   Stanovich KE, 2008, J PERS SOC PSYCHOL, V94, P672, DOI 10.1037/0022-3514.94.4.672
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Trope Y, 2010, PSYCHOL REV, V117, P440, DOI 10.1037/a0018963
   Turner WR, 2004, BIOSCIENCE, V54, P585, DOI 10.1641/0006-3568(2004)054[0585:GUATSO]2.0.CO;2
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Weltzin JF, 2003, BIOSCIENCE, V53, P941, DOI 10.1641/0006-3568(2003)053[0941:ATROTE]2.0.CO;2
   Wigginton NS, 2016, SCIENCE, V352, P904, DOI 10.1126/science.352.6288.904
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P1
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
   Zelenski JM, 2015, J ENVIRON PSYCHOL, V42, P24, DOI 10.1016/j.jenvp.2015.01.005
   ,, 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 66
TC 0
Z9 0
U1 4
U2 8
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0313-5926
J9 ECON ANAL POLICY
JI Econ. Anal. Policy
PD MAR
PY 2024
VL 81
BP 34
EP 44
DI 10.1016/j.eap.2023.11.001
EA NOV 2023
PG 11
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA CK1E8
UT WOS:001125047500001
DA 2025-01-10
ER

PT J
AU Yazar, M
   Cetinkaya, ID
   Iban, MC
   Bilgilioglu, SS
AF Yazar, Mahir
   Cetinkaya, Irem Daloglu
   Iban, Muzaffer Can
   Bilgilioglu, Suleyman Sefa
TI The green divide and heat exposure: urban transformation projects in
   istanbul
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE urban transformation; green infrastructure; urban heat; environmental
   justice; istanbul
ID ENVIRONMENTAL GENTRIFICATION; JUSTICE; LAND; VULNERABILITY; ADAPTATION;
   PHOENIX; POLICY; RESPONSES; STRESS; PARKS
AB Extreme heat events are happening more frequently and with greater severity, causing significant negative consequences, especially for vulnerable urban populations around the globe. Heat stress is even more common in cities with dense and irregular planning and lacking urban blue-green infrastructures. This study investigates the greening and cooling effects of five selected urban transformation projects and their surrounding areas (within a 10-min walking distance) in Istanbul from 2013 to 2021, with a focus on environmental justice and climate adaptation planning perspectives. By employing temporal analysis of Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) values derived from Landsat data sets to detect changes in these five selected urban transformation projects in the megacity of Turkiye, Istanbul, this study finds that the distribution of green infrastructures (e.g., tree canopy) is only limited to project sites of long-running and state-supported urban transformation projects in Istanbul. Consequently, the unequal distribution of green infrastructures creates cooling effects only for the locals residing in the new residential projects. However, the surrounding areas have less urban green infrastructure and are exposed more to the urban heat over time. Urban development policies and planning highly contribute to increasing the climate vulnerabilities among those who do not benefit from the recently developed residential units in Istanbul. Such a trend can affect adaptive capacity of vulnerable communities and redress environmental injustices in urban planning in the megacity of Istanbul.
C1 [Yazar, Mahir] Univ Bergen, Ctr Climate & Energy Transformat, Dept Geog, Bergen, Norway.
   [Cetinkaya, Irem Daloglu] Bogazici Univ, Inst Environm Sci, Istanbul, Turkiye.
   [Iban, Muzaffer Can] Mersin Univ, Dept Geomat Engn, Mersin, Turkiye.
   [Bilgilioglu, Suleyman Sefa] Aksaray Univ, Dept Geomat Engn, Aksaray, Turkiye.
C3 University of Bergen; Bogazici University; Mersin University; Aksaray
   University
RP Yazar, M (corresponding author), Univ Bergen, Ctr Climate & Energy Transformat, Dept Geog, Bergen, Norway.
EM Mahir.Yazar@uib.no
RI Yazar, Mahir/HPH-3673-2023; Iban, Muzaffer/P-1791-2017; Bilgilioğlu, S.
   Sefa/ABC-7525-2021
OI Yazar, Mahir/0000-0002-8863-6024
CR Maia ATA, 2020, ENVIRON SCI POLICY, V112, P254, DOI 10.1016/j.envsci.2020.05.021
   Anguelovski I, 2016, J PLAN LIT, V31, P23, DOI 10.1177/0885412215610491
   Arican A, 2020, CITY SOC, V32, P482, DOI 10.1111/ciso.12348
   Aybar N., 2022, J. Des. Resil. Archit. Plan, V3, P171, DOI [10.47818/DRArch.2022.v3i2051, DOI 10.47818/DRARCH.2022.V3I2051]
   Bahadur AV, 2014, URBAN CLIM, V7, P20, DOI 10.1016/j.uclim.2013.08.004
   Bolin B., 2013, URBANIZATION SUSTAIN, P159, DOI [10.1007/978-94-007-5666-3_10, DOI 10.1007/978-94-007-5666-3_10, 10.1007/978-94-007-5666-310, DOI 10.1007/978-94-007-5666-310]
   Bolitho A, 2017, LOCAL ENVIRON, V22, P682, DOI 10.1080/13549839.2016.1254169
   Boone CG, 2009, ANN ASSOC AM GEOGR, V99, P767, DOI 10.1080/00045600903102949
   Brand AnnaL., 2020, Louisianas Response to Extreme Weather: A Coastal States Adaptation Challenges and Successes, P217
   Çaliskan O, 2017, PLAN PRACT RES, V32, P417, DOI 10.1080/02697459.2017.1378862
   Carlson TN, 1997, REMOTE SENS ENVIRON, V62, P241, DOI 10.1016/S0034-4257(97)00104-1
   Carrillo-Niquete GA, 2022, LANDSCAPE URBAN PLAN, V217, DOI 10.1016/j.landurbplan.2021.104280
   Ceker A., 2015, Turk Cografya Dergisi, P77, DOI [10.17211/tcd.30494, DOI 10.17211/TCD.30494]
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   Cong C, 2023, AMBIO, V52, P1297, DOI 10.1007/s13280-023-01872-x
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Curran W, 2012, LOCAL ENVIRON, V17, P1027, DOI 10.1080/13549839.2012.729569
   de Jong R, 2011, REMOTE SENS ENVIRON, V115, P692, DOI 10.1016/j.rse.2010.10.011
   Depietri Y, 2022, CURR OPIN ENV SUST, V54, DOI 10.1016/j.cosust.2021.12.001
   Dialesandro J, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18030941
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   Durmaz N., 2015, Les. Cah. dEMAM, V27, DOI [10.4000/emam.1170, DOI 10.4000/EMAM.1170]
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Goward SN, 2002, REMOTE SENS ENVIRON, V79, P225, DOI 10.1016/S0034-4257(01)00275-9
   Guha S, 2022, GEOCARTO INT, V37, P4292, DOI 10.1080/10106049.2021.1886339
   Güzey Ö, 2016, CITIES, V50, P40, DOI 10.1016/j.cities.2015.08.010
   Halder B, 2022, THEOR APPL CLIMATOL, V150, P613, DOI 10.1007/s00704-022-04180-8
   Harlan SL, 2011, CURR OPIN ENV SUST, V3, P126, DOI 10.1016/j.cosust.2011.01.001
   Horwood K, 2011, LOCAL ENVIRON, V16, P963, DOI 10.1080/13549839.2011.607157
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Iban MC, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105104
   Ju Y, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01701-y
   Kearl Z, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101392
   Kirtas E. E., 2022, Kentsel mekanin degisimi: ayazaga mahallesi ornegi. III, P875
   Kuokkanen A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051421
   Langemeyer J, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135487
   Leach M, 2015, PATHWAY SUSTAIN, P25
   Lee T, 2017, MITIG ADAPT STRAT GL, V22, P761, DOI 10.1007/s11027-015-9697-1
   Lemoine-Rodríguez R, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150037
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Li H, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104025
   Locke DH, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00022-0
   Low S, 2013, ASHGATE RESEARCH COMPANION TO PLANNING AND CULTURE, P295
   Lundgren K, 2013, IND HEALTH, V51, P3, DOI 10.2486/indhealth.2012-0089
   Mahon L, 2018, WORLD DEV, V107, P224, DOI 10.1016/j.worlddev.2018.02.035
   MEGAISTANBUL, 2023, Megaprojeleristanbul
   Mital A, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101505
   Ünsal BÖ, 2023, EUR PLAN STUD, V31, P287, DOI 10.1080/09654313.2022.2049217
   Okumus DE, 2021, SUSTAIN CITIES SOC, V73, DOI 10.1016/j.scs.2021.103128
   Open Data Commons, 2023, Opendatacommons
   Pan HZ, 2023, NAT CLIM CHANGE, V13, P862, DOI 10.1038/s41558-023-01737-x
   Pearsall H, 2010, ENVIRON PLANN C, V28, P872, DOI 10.1068/c08126
   Pettorelli N, 2005, TRENDS ECOL EVOL, V20, P503, DOI 10.1016/j.tree.2005.05.011
   Rakoto PY, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127266
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Sekertekin A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12172776
   Sekertekin A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12020294
   Shahtahmassebi AR, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126946
   Smith JP, 2017, APPL GEOGR, V85, P139, DOI 10.1016/j.apgeog.2017.06.005
   Sobrino JA, 2008, IEEE T GEOSCI REMOTE, V46, P316, DOI 10.1109/TGRS.2007.904834
   Song DX, 2022, SCI REMOTE SENSING, V6, DOI 10.1016/j.srs.2022.100058
   Stuhlmacher M, 2022, URBAN FOR URBAN GREE, V71, DOI 10.1016/j.ufug.2022.127569
   Tarakci S, 2022, J HOUS BUILT ENVIRON, V37, P125, DOI 10.1007/s10901-021-09849-6
   Tsavdaroglou C, 2020, URBAN PLAN, V5, P230, DOI 10.17645/up.v5i3.3098
   Turgut H, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103131
   USGS, 2013, Landsat missions: Landsat collection 2 level 2 science products
   Venter ZS, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.160193
   Waters J, 2017, GLOBAL ENVIRON CHANG, V46, P42, DOI 10.1016/j.gloenvcha.2017.06.011
   Wu LF, 2022, LANDSCAPE URBAN PLAN, V219, DOI 10.1016/j.landurbplan.2021.104321
   Xu C, 2022, SCI TOTAL ENVIRON, V841, DOI 10.1016/j.scitotenv.2022.156687
   Xu F, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104477
   Yazar M, 2023, ENVIRON SCI POLICY, V145, P228, DOI 10.1016/j.envsci.2023.04.016
   Yazar M, 2023, ENVIRON POLICY GOV, V33, P386, DOI 10.1002/eet.2038
   Yazar M, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101079
   Yazar M, 2023, J URBAN AFF, V45, P1265, DOI 10.1080/07352166.2021.1915151
   Yazar M, 2020, CLIMATIC CHANGE, V160, P637, DOI 10.1007/s10584-019-02509-3
   Zaitunah A, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22114168
NR 80
TC 1
Z9 1
U1 5
U2 21
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD NOV 23
PY 2023
VL 11
AR 1265332
DI 10.3389/fenvs.2023.1265332
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AB4S3
UT WOS:001115988500001
OA gold
DA 2025-01-10
ER

PT J
AU French, K
   Kousky, C
AF French, Karina
   Kousky, Carolyn
TI The effect of disaster insurance on community resilience: a research
   agenda for local policy
SO CLIMATE POLICY
LA English
DT Article
DE Climate disasters; disaster insurance; community resilience; recovery
ID INDEX INSURANCE; RECOVERY
AB The risk of climate disasters has spurred increased interest in public policies that help expand the number of households with disaster insurance, particularly for financially vulnerable populations. In recent years, local governments, concerned with their community's resilience to climate disasters, have started to consider insurance programs as part of their adaptation strategies. However, we do not yet have a robust body of research that shows if, and how, expanded insurance take-up among households affects community-wide recovery after a climate disaster. Filling this disaster insurance research gap will better equip public sector leaders to assess if investments in insurance programs can further community resilience goals and when disaster insurance is an appropriate climate adaptation tool. In this article, we assess the state of empirical evidence through existing frameworks of community recovery and put forward an agenda for future research that is attuned to local policy needs.Key policy insights:There is increasing interest by policymakers in expanding the number of households with disaster insurance to provide financial protection in the face of increasing climate risks, but little evidence exists on how household-level insurance affects community-level resilience outcomes.Expanded research on this topic could support local decision-makers in designing effective and efficient policies to support community recovery from climate extremes.Future research should focus on testing more holistic disaster recovery measures and downscaling global and national research to the local scale.Emerging pilot insurance programs and experimental policies offer novel opportunities to study impacts at the local level.
C1 [French, Karina; Kousky, Carolyn] Environm Def Fund, New York, NY USA.
   [Kousky, Carolyn] 257 Pk Ave South, New York, NY 10010 USA.
C3 Environmental Defense Fund
RP Kousky, C (corresponding author), 257 Pk Ave South, New York, NY 10010 USA.
EM ckousky@edf.org
OI French, Karina/0000-0001-6777-0462
CR AIR Worldwide, 2019, GLOB MOD CAT LOSS
   [Anonymous], 2012, International Journal of Mass Emergencies Disasters, DOI [DOI 10.1007/S13398-014-0173-7.2, DOI 10.1177/028072701203000205]
   Attary N, 2020, ECON SYST RES, V32, P351, DOI 10.1080/09535314.2020.1713729
   Baker C., 2019, SYRACUSE 0102
   Beniya S., 2007, 2 INT C URB DIS RED, V7
   Bertram-Huemmer V, 2018, AM J AGR ECON, V100, P145, DOI 10.1093/ajae/aax069
   Billings S. B., 2019, LET RICH BE FLOODED, DOI DOI 10.2139/SSRN.3396611
   Brown D., 2010, 8 INT WORKSH REM SEN
   Carpenter O., 2020, OPTIMISING DISASTER
   Chang S.E., 2012, INT J MASS EMERGENCI, V30, P171, DOI [DOI 10.1177/028072701203000202, 10.1177/028072701203000202]
   Chang SE, 2010, DISASTERS, V34, P303, DOI 10.1111/j.1467-7717.2009.01130.x
   Chantarat S, 2017, WORLD DEV, V94, P119, DOI 10.1016/j.worlddev.2016.12.044
   Comerio MC, 2014, CITYSCAPE, V16, P51
   Comins NeilF., 2017, The Traveler's Guide to Space: For One-Way Settlers and Round-Trip Tourists, DOI [DOI 10.7249/RR1776, 10.7249/rr1776]
   Nguyen CN, 2020, J ECON GEOGR, V20, P857, DOI 10.1093/jeg/lbz033
   Nguyen NC, 2020, DISASTERS, V44, P367, DOI 10.1111/disa.12371
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Eriksen C, 2021, GEOGR RES-AUST, V59, P228, DOI 10.1111/1745-5871.12451
   Feeny S, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000532
   Haas J.E., 1977, RECONSTRUCTION FOLLO
   Hanger S, 2018, RISK ANAL, V38, P680, DOI 10.1111/risa.12881
   Hazra D, 2022, ECON MODEL, V108, DOI 10.1016/j.econmod.2022.105768
   Hellmuth M.E., 2009, Index insurance and climate risk: Prospects for development and disaster management
   Hettige S, 2016, DISASTER PREV MANAG, V25, P595, DOI 10.1108/DPM-11-2015-0263
   Horney J., 2018, International Journal of Mass Emergencies and Disasters, V36, P1, DOI [https://doi.org/10.1177/028072701803600101, DOI 10.1177/028072701803600101]
   Hudson P, 2016, ECOL ECON, V125, P1, DOI 10.1016/j.ecolecon.2016.01.015
   Janvry A. d., 2016, POLICY REWORKING P, DOI [10.1596/1813-9450-7715, DOI 10.1596/1813-9450-7715]
   Johnson L.A., 2014, International Journal of Mass Emergencies and Disasters, V32, P242, DOI DOI 10.1177/028072701403200201
   Jordan E, 2013, NAT HAZARDS REV, V14, P21, DOI 10.1061/(ASCE)NH.1527-6996.0000087
   Kalfin, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074349
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   Kousky C., 2022, Understanding Disaster Insurance: New Tools for a More Resilient Future
   Kousky C., 2020, J HOUSING RES, V29, pS86, DOI DOI 10.1080/10527001.2020.1840131
   Kousky C, 2019, ANNU REV RESOUR ECON, V11, P399, DOI 10.1146/annurev-resource-100518-094028
   Kovacevic RM, 2011, J RISK INSUR, V78, P1003, DOI 10.1111/j.1539-6975.2010.01396.x
   Kraemer M., 2015, STORM ALERT NATURAL
   Lee CC, 2012, INT REV ECON FINANC, V21, P246, DOI 10.1016/j.iref.2011.07.003
   Lee EKO, 2009, J BLACK PSYCHOL, V35, P5, DOI 10.1177/0095798408323354
   Lindell M., 2005, Natural Hazards Review, V6, P171, DOI DOI 10.1061/(ASCE)1527-6988(2003)4:4(176)
   McAneney J, 2016, INT J DISAST RISK RE, V15, P1, DOI 10.1016/j.ijdrr.2015.11.004
   Melecky M, 2015, WORLD BANK ECON REV, V29, P129, DOI 10.1093/wber/lht041
   Miles SB, 2011, CARTOGR GEOGR INF SC, V38, P36, DOI 10.1559/1523040638136
   Miranda MJ, 2012, APPL ECON PERSPECT P, V34, P391, DOI 10.1093/aepp/pps031
   Mol JM, 2020, J BEHAV EXP ECON, V84, DOI 10.1016/j.socec.2019.101500
   Nguyen C., 2020, SSRN ELECT J, DOI [10.2139/ssrn.3699240, DOI 10.2139/SSRN.3699240]
   Noritomo Y, 2020, J DEV STUD, V56, P2079, DOI 10.1080/00220388.2020.1736281
   Olshansky R.B., 2009, PROG PLANN, V72, P200
   Owen S., 2021, ASIA PACIFIC J RISK, V15, P169, DOI [10.1515/apjri-2020-0036, DOI 10.1515/APJRI-2020-0036]
   P??rtner H.-O., 2022, CONTRIBUTION WORKING, P1522
   Paleari S, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2018.12.021
   Peacock W.G., 2018, HDB DISASTER RES, P569, DOI [DOI 10.1007/978-3-319-63254-4_27, 10.1007/978-3-319-63254-4_27]
   Platt S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101689
   Rouhanizadeh B, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101735
   Sherman J., 2018, Local Solutions to Flood Insurance Affordability: Portlands Flood Insurance Savings Program
   Surminski S., 2020, DISASTER INSURANCE D, DOI [10.2139/ssrn.3644910, DOI 10.2139/SSRN.3644910]
   Talberth J, 2006, CONTEMP ECON POLICY, V24, P203, DOI 10.1093/cep/byj021
   Turnham J., 2011, HOUSING RECOVERY GUL
   Von Peter G., 2012, Unmitigated disasters? New evidence on the macroeconomic cost of natural catastrophes
   Zhao J, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101387
NR 59
TC 1
Z9 1
U1 6
U2 50
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 662
EP 670
DI 10.1080/14693062.2023.2170313
EA FEB 2023
PG 9
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA G1UI8
UT WOS:000921957100001
DA 2025-01-10
ER

PT J
AU Lopez, IP
   Martin, DJ
AF Lopez, Irene Perez
   Martin, Daniel Jan
TI Rethinking Estuary Urbanism-Preparing Australian Estuary Cities for
   Changes to Come in the Climate and Biodiversity Emergency
SO SUSTAINABILITY
LA English
DT Article
DE estuary urbanism; water as leverage; climate change; nature-drive
   urbanism
ID STRATEGIC THINKING; ECOSYSTEM SERVICES; WATER
AB This research investigates the challenges and opportunities of urban estuaries exposed to spatial, urban, and environmental shifts exacerbated by climate change, ecological disturbances, and population growth, taking the cities of Perth, Western Australia and Newcastle, New South Wales, as case studies. Approaching the design of estuary cities in the Climate Century demands a form of estuary urbanism and new paradigms in design, which embrace the constant presence of water. Water becomes the instrument of change to re-think the design of the city and its relationship with the non-built environment since the climate crisis is also a water crisis. Adaptation and mitigation strategies are still emerging fields in design and planning disciplines. Design disciplines can strongly contribute to generating site-specific climate-adaptative responses while re-establishing the connection between built and natural environments, improving ecological balance and spatial quality, and promoting well-being and cultural values. The methodology involves both analytical and projective-explorative methods promoting a site-specific approach, working across scales and disciplines to understand urban estuaries within larger catchments and as complex hydrological and ecological systems. A fundamental goal is the creation of site-specific design strategies to operate in low to medium-density precincts, leveraging water and nature as design tools to improve urban resilience and liveability. There is capacity here to establish design methods and principles that inform future practices through urbanism responding to dynamic ecological and water systems and the unpredictability effects of climate change.
C1 [Lopez, Irene Perez] Univ Newcastle Australia UoN, Sch Architecture & Built Environm, Callaghan, NSW 2308, Australia.
   [Martin, Daniel Jan] Univ Western Australia UWA, Sch Design, Nedlands, WA 6009, Australia.
C3 University of Western Australia
RP Lopez, IP (corresponding author), Univ Newcastle Australia UoN, Sch Architecture & Built Environm, Callaghan, NSW 2308, Australia.; Martin, DJ (corresponding author), Univ Western Australia UWA, Sch Design, Nedlands, WA 6009, Australia.
EM irene.perezlopez@newcastle.edu.au; daniel.martin@uwa.edu.au
OI Martin, Daniel Jan/0000-0003-3280-5754; Perez Lopez,
   Irene/0000-0002-5033-5971
FU University of Newcastle 2022 Research Advantage Women in Research
FX This research was funded by the University of Newcastle 2022 Research
   Advantage Women in Research.
CR [Anonymous], NATURE BASED SOLUTIO
   [Anonymous], 1828, Index and directory to map of the country bordering upon the River Hunter
   [Anonymous], 2002, HUNT EST PROC STUD S
   [Anonymous], 2015, PRINCIPLES BUILDING
   [Anonymous], 2000, P RIV FOR 2000 HUNT
   [Anonymous], 2015, CONTEXT STATEMENT HU
   [Anonymous], 2020, WATER DESIGN
   Australia, 2021, GOVT W AUSTR DATAWA
   Bairstow D., 1986, AUST J HIST ARCHEOL, V4, P57
   Barbosa E.R. d. Q., 2014, Architecture Education Journal, P241
   Barton AB, 2007, AUSTRALAS J WAT RESO, V11, P31, DOI 10.1080/13241583.2007.11465309
   Bell S., 2022, Urban blue spaces: planning and design for water, health and well-being
   Berg Peter., 1977, The Ecologist, V7, P399
   Berrizbeitia A, 2014, STUD HIST GARD DES L, V34, P38, DOI 10.1080/14601176.2013.850295
   Berry Gersonius R.A., 2016, FLOOD RESILIENCE WAT
   Bertram N., 2019, In time with water: Design studies of 3 Australian cities
   Bishop P., 2020, DESIGN LONDON EXPT U, DOI [10.14324/111.9781787358942, DOI 10.14324/111.9781787358942]
   BOER Florian., 2010, De Urbanisten and the Wondrous Water Square
   Bolleter J., 2020, Greenspace-Oriented Development: Reconciling Urban Density and Nature in Suburban Cities
   Bucktin H., 2001, LIVING WETLANDS INTR
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chiu YY, 2022, ENVIRONMENTS, V9, DOI 10.3390/environments9010002
   Colquhoun G.P., 2022, New South Wales seamless geology dataset, version 2.2 [Digital Dataset]
   Cooperative Research Centre for Water Sensitive Cities (CRCWSC), 2021, US
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Coulin E, 1995, HUNTER LIVING HIST
   Crossman S., 2015, SURFACE HYDROLOGY PO
   Dal Cin F, 2021, WATER-SUI, V13, DOI 10.3390/w13020218
   Dammers E., 2014, Built Environment, V40, P156, DOI [10.2148/benv.40.2.156, DOI 10.2148/BENV.40.2.156]
   Deming M.E., 2011, LANDSCAPE ARCHITECTU
   Department of Climate Change, 2021, ENV WAT AUSTR BIOR I
   Department of Climate Change Energy the Environment and Water, 2022, SUBTR TEMP COAST SAL
   Department of Climate Change The Environment and Water, 2021, AUSTR EC
   Department of Planning, 2022, GOV W AUSTR 2017 202
   Design, 2022, WAT WIS HOUS WAT DES
   Di Gravio G.A., 2019, VIRTUAL SOURCEBOOK A
   Díaz S, 2006, PLOS BIOL, V4, P1300, DOI 10.1371/journal.pbio.0040277
   Diedric L., 2010, J LANDSC ARCHIT, V2010, P87
   Ekka SA, 2021, J ENVIRON MANAGE, V279, DOI 10.1016/j.jenvman.2020.111756
   Fields B, 2017, J PLAN EDUC RES, V37, P309, DOI 10.1177/0739456X16655600
   Franco-Torres M, 2021, CRIT REV ENV SCI TEC, V51, P2777, DOI 10.1080/10643389.2020.1803686
   Garrard GE, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12411
   Glamore W., 2019, P AUSTRALASIAN COAST
   Glamore W., 2019, HUNTER RIVER ESTUARY
   Graetz F., 2002, Management Decision, V40, P456, DOI DOI 10.1108/00251740210430434
   Haines P., 2012, The Newcastle City-Wide floodplain risk management study and plan
   Heracleous L, 1998, LONG RANGE PLANN, V31, P481, DOI 10.1016/S0024-6301(98)80015-0
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Hopper SD, 2009, PLANT SOIL, V322, P49, DOI 10.1007/s11104-009-0068-0
   IPCC, 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P3
   Jonkman B., 2020, J DELTA URBAN, V1, DOI [10.7480/jdu.1.2020.5457, DOI 10.7480/JDU.1.2020.5457]
   Kennish MJ, 2002, ENVIRON CONSERV, V29, P78, DOI 10.1017/S0376892902000061
   Lehrman B, 2011, LANDSC J, V30, P315, DOI 10.3368/lj.30.2.315
   Leinster S., 2010, CONSTRUCTION ESTABLI
   Leybourne M., 2006, Water: Histories, cultures, and ecologies
   Liedtka JM, 1998, LONG RANGE PLANN, V31, P120, DOI 10.1016/S0024-6301(97)00098-8
   Logan T., 2022, STATE ENV REPORT HIG
   London G., 2020, Infill typologies catalogue
   Lynch T., 2012, The bioregional imagination: Literature, ecology and place
   Martin D.J., 2021, DOING DENSITY DIFFER
   Mathur A., 2006, DECCAN TRAVERSES MAK
   Mathur Anuradha., 2014, DESIGN TERRAIN WATER
   Mattei J. H., 2019, The Quarterly Review of Biology, V94, P307, DOI [10.1086/705081, DOI 10.1086/705081]
   McGinnis MichaelVincent., 1999, Bioregionalism
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McManus P., 2000, JOURNEYS MAKING HUNT, P246
   Meyer H., 2009, Built Environment (London, 1978), V35, P432, DOI [10.2148/benv.35.4.432, DOI 10.2148/BENV.35.4.432]
   Meyer H., 2014, BUILD ENVIRON, V40, P148, DOI [10.2148/benv.40.2.149, DOI 10.2148/BENV.40.2.149]
   Meyer H., 2020, Journal of Delta Urbanism, DOI [10.7480/jdu.1.2020.5461, DOI 10.7480/JDU.1.2020.5461]
   Meyer H., 2013, J URBANISM INT RES P, V6, P160, DOI [10.1080/17549175.2013.820210, DOI 10.1080/17549175.2013.820210]
   Moore D.R., 1969, AUST NAT HIST, P166
   Moore R., 2004, PRIVATE WATER SUPPLY, P386
   Moravej M, 2022, WATER RES, V213, DOI 10.1016/j.watres.2022.118109
   Moravej M, 2021, WATER RES, V188, DOI 10.1016/j.watres.2020.116477
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Murray S., 2015, PROCESSES DEV AFFORD
   Newcastle T.C.O., 2018, NEWCASTLE COASTAL ZO
   Ovink H., 2020, J DELTA URBAN, V1, P61
   Priemus H., 2009, Built Environment, V35, P425, DOI DOI 10.2148/BENV.35.4.425
   Psarra I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111847
   Qi YF, 2021, WATER-SUI, V13, DOI 10.3390/w13192784
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Reisinger A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1371
   Renouf Marguerite A., 2020, Milestone report
   Rogers BC, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0201
   Rogers B.C., 2017, WATER SENSITIVE ELWO
   Roggema R., 2020, NATURE DRIVEN URBANI
   Roggema R., 2016, CITY TERRITORY ARCHI, P3, DOI DOI 10.1186/S40410-016-0052-Y
   Roggema R, 2017, URBAN SCI, V1, DOI 10.3390/urbansci1010002
   Roy P.S., 1996, QUATERNARY GEOLOGY S, P174
   Roy PS, 2001, ESTUAR COAST SHELF S, V53, P351, DOI 10.1006/ecss.2001.0796
   Siegel Z., RESILIENT DESIGN BAY
   Spirn AW, 2002, UNDERSTANDING URBAN ECOSYSTEMS, P201
   Talia M, 2021, INT J PUBLIC THEOL, V15, P595, DOI 10.1163/15697320-01
   Thayer R.L., 2004, LIFEPLACE BIOREGIONA, V28, P416
   Thayer RL, 2003, LIFEPLACE: BIOREGIONAL THOUGHT AND PRACTICE, P1
   UNESCO, 2020, UN WORLD WAT DEV REP, V2020
   Von Krogh L., 1999, BIOREGIONALISM ALTER
   Ware S., 2018, POWER PLANTS PHYTORE
   WELLER R., 2009, Boomtown 2050, scenarios for a rapidly growing city
   Weller R.J., 2023, Atlas for the End of the World
   Wilde SA, 2001, NATURE, V409, P175, DOI 10.1038/35051550
   Wong THF., 2006, Australian runoff quality - A guide to Water Sensitive Urban Design
   Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9
   Xiao QF, 2017, INFRASTRUCTURES-BASE, V2, DOI 10.3390/infrastructures2040012
   Yunkaporta T., 2019, Sand talk: How Indigenous thinking can save the world
NR 106
TC 3
Z9 3
U1 7
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2023
VL 15
IS 2
AR 962
DI 10.3390/su15020962
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 8R2NW
UT WOS:000927734200001
OA gold
DA 2025-01-10
ER

PT J
AU Young, HR
   Cha, YH
   den Boer, H
   Schellens, M
   Nash, K
   Watmough, GR
   Donovan, K
   Patenaude, G
   Fleming, S
   Butchart, B
   Woodhouse, IH
AF Young, Hannah R.
   Cha, YoungHwa
   den Boer, Hannah
   Schellens, Marie
   Nash, Kathryn
   Watmough, Gary R.
   Donovan, Kate
   Patenaude, Genevieve
   Fleming, Sam
   Butchart, Ben
   Woodhouse, Iain H.
TI Strata: Mapping climate, environmental and security vulnerability
   hotspots
SO POLITICAL GEOGRAPHY
LA English
DT Article
DE Climate hazard; Environmental change; Conflict; Vulnerability; Exposure;
   Google Earth Engine
ID CONFLICT; SOMALIA; KENYA; RISK; MAP
AB Climate and environmental changes, as well as conflict events and violence, can have compounding impacts on livelihoods and the safety and security of population groups, particularly when multiple events are interrelated, coincide or occur in succession. How people are impacted depends on where they are located, how vulnerable they are, and the magnitude of the hazard. Although a significant amount of geospatial data is freely available, there has been a lack of user-friendly data tools allowing for integrated data-driven assessments of these complex climate-related security risks. Strata is such a tool, developed by a multidisciplinary team and co-designed with practitioners in the fields of peacebuilding, climate adaptation and environmental conservation. It addresses the need for making visible the available climate and conflict data via a web browser and allows a high level of analysis and customisation by users. Here we describe the process of co-developing the principles behind Strata, the data aggregation framework used, and the choice of datasets. Example outputs for Somalia, the pilot location, demonstrate how data is aggregated to produce hotspot maps and how these provide information on where impacts relating to climate, environmental and security stresses should be investigated, at a range of spatial scales. We reflect on challenges in co-designing Strata and pathways for continued development of the tool. We also highlight how user insights can be incorporated in this and similar tools, to ensure actionable data-driven insights within the context of available data and understandings of impact pathways.
C1 [Young, Hannah R.; Cha, YoungHwa; Watmough, Gary R.; Donovan, Kate; Patenaude, Genevieve; Woodhouse, Iain H.] Univ Edinburgh, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Scotland.
   [den Boer, Hannah; Nash, Kathryn] Univ Edinburgh, Old Coll, Edinburgh Law Sch, South Bridge, Edinburgh EH8 9YL, Scotland.
   [Schellens, Marie] United Nat Environm Programme, Disasters & Conflicts Branch, Chemin Anemones 15, CH-1219 Vernier, Switzerland.
   [Watmough, Gary R.] Univ Edinburgh, Global Acad Agr & Food Syst, Easter Bush Campus,Bush Farm Rd, Edinburgh EH25 9RG, Scotland.
   [Donovan, Kate] Univ Edinburgh, Edinburgh Climate Change Inst, High Sch Yards, Infirm St, Edinburgh EH1 1LZ, Scotland.
   [Patenaude, Genevieve; Fleming, Sam; Butchart, Ben] Earth Blox, 6 Redheughs Rigg, Edinburgh EH12 9DQ, Scotland.
   [Young, Hannah R.] UK Ctr Ecol & Hydrol, Bush Estate, Penicuik EH26 0QB, Scotland.
C3 University of Edinburgh; University of Edinburgh; University of
   Edinburgh; University of Edinburgh; UK Centre for Ecology & Hydrology
   (UKCEH)
RP Woodhouse, IH (corresponding author), Univ Edinburgh, Sch Geosci, Drummond St, Edinburgh EH8 9XP, Scotland.
EM i.h.woodhouse@ed.ac.uk
RI watmough, Gary/H-5136-2019; Donovan, Kate/IVH-8796-2023; Patenaude,
   Genevieve/F-3115-2010; Young, Hannah/KPA-5358-2024
OI Cha, YoungHwa/0000-0002-9677-3889; Young, Hannah/0000-0002-7997-9471
FU European Union; Government of Norway; Scottish Funding Council Beacon
   Programme at the University of Edinburgh
FX We thank those who participated in the surveys, interviews and workshops
   for sharing their knowledge and providing feedback to inform the design
   of Strata. We acknowledge The Group on Earth Ob-servations and Google
   for access to Earth Engine. This research was funded by the European
   Union through the EU-UNEP Climate Change and Security Partnership
   (2017-2022) and by the Government of Nor-way. Additional funding was
   provided by the Data-Driven Innovation (DDI) Programme as part of the
   Scottish Funding Council Beacon Pro-gramme at the University of
   Edinburgh.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Anderson W, 2021, NAT FOOD, V2, P603, DOI 10.1038/s43016-021-00327-4
   [Anonymous], 2019, ACLED 2018: The year in review
   Busby JW, 2014, POLIT GEOGR, V43, P51, DOI 10.1016/j.polgeo.2014.10.005
   Carter S., 2019, Coproduction of African weather and climate services
   Cherlet M., 2018, World Atlas of Desertification: Rethinking Land Degradation and Sustainable Land Management, DOI [10.2760/9205, DOI 10.2760/9205]
   Conservation International, 2018, TRENDSEARTH
   Copernicus Climate Change Service, 2024, ECMWR
   Council of the European Union, 2020, OUTCOME P
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   Didan K., 2015, MOD13A2 MODIS/Terra Vegetation Indices 16-DayL3 Global 1km SIN Grid V006 Data set WWW Document, DOI [DOI 10.5067/MODIS/MOD13A2.006, 10.5067/MODIS/MOD13A2.061, DOI 10.5067/MODIS/MOD13A2.061]
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Doyle EEH, 2019, INT J DISAST RISK RE, V33, P449, DOI 10.1016/j.ijdrr.2018.10.023
   Elvidge CD, 2017, INT J REMOTE SENS, V38, P5860, DOI 10.1080/01431161.2017.1342050
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   FEWS NET, 2018, Scenario Development for Food Security Early Warning
   FEWS NET, 2017, PROL DROUGHT DRIV FO
   FEWS NET, 2017, SEV DROUGHT RIS PRIC
   Funk C, 2020, NATURE, V586, P645, DOI 10.1038/d41586-020-02698-3
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gleditsch NP, 2021, J PEACE RES, V58, P177, DOI 10.1177/0022343320969785
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Haile GG, 2019, EARTH-SCI REV, V193, P146, DOI 10.1016/j.earscirev.2019.04.015
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Hirons L, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100246
   Holland G., 2016, SOLVING PUZZLE INNOV
   Hughes A., 2016, SOLVING PUZZLE INNOV
   Human Rights Watch, 2021, World Report 2021-Events of 2020
   Ide T, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.456
   Ide T, 2014, POLIT GEOGR, V43, P68, DOI 10.1016/j.polgeo.2014.10.007
   Ilyushchenko S., 2020, MEET NEWEST ADDITION
   IPC Global Partners, 2021, INT FOOD SEC PHAS CL
   Ivits E., 2019, LAND DERADATION KNOW
   Kappes MS, 2012, NAT HAZARDS, V64, P1925, DOI 10.1007/s11069-012-0294-2
   Kok M, 2016, REG ENVIRON CHANGE, V16, P229, DOI 10.1007/s10113-014-0746-1
   Lacroix P, 2019, SOFTWAREX, V9, P77, DOI 10.1016/j.softx.2019.01.002
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Leonard M, 2014, WIRES CLIM CHANGE, V5, P113, DOI 10.1002/wcc.252
   Linard C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031743
   Lwanga-Ntale C, 2020, JAMBA-J DISASTER RIS, V12, DOI 10.4102/jamba.v12i1.856
   Mach KJ, 2021, J PEACE RES, V58, P168, DOI 10.1177/0022343320966774
   Mach KJ, 2019, NATURE, V571, P193, DOI 10.1038/s41586-019-1300-6
   Malik A, 2020, J DEV EFFECT, V12, P323, DOI 10.1080/19439342.2020.1840421
   Maxwell D, 2012, GLOB FOOD SECUR-AGR, V1, P5, DOI 10.1016/j.gfs.2012.07.002
   Maystadt JF, 2014, AM J AGR ECON, V96, P1157, DOI 10.1093/ajae/aau010
   McBride MF, 2017, ECOL SOC, V22, DOI 10.5751/ES-09386-220316
   Midgley S.J. E., 2011, Climate Risk and Vulnerability Mapping in Southern Africa: Status quo
   Miller BW, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.2020
   Mittal N, 2021, FRONT CLIM, V2, DOI 10.3389/fclim.2020.578553
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   Okpara UT, 2017, REG ENVIRON CHANGE, V17, P351, DOI 10.1007/s10113-016-1003-6
   Patterson D., 2022, Geospatial ESG: the emerging application of geospatial data for gaining 'environmental' insights on the asset, corporate and sovereign level
   Preston BL, 2009, MITIG ADAPT STRAT GL, V14, P251, DOI 10.1007/s11027-008-9163-4
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Raleigh C, 2010, J PEACE RES, V47, P651, DOI 10.1177/0022343310378914
   Rembold F, 2019, AGR SYST, V168, P247, DOI 10.1016/j.agsy.2018.07.002
   Scheffran J., 2012, Climate change, human security and violent conflict, P91
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Siebert S., 2013, Global Map of Irrigation Areas version 5
   Sundberg R, 2013, J PEACE RES, V50, P523, DOI 10.1177/0022343313484347
   Teluguntla P, 2016, REMOTE SENS HBK, V2, P131, DOI 10.1201/b19355-67
   Thornton P. K., 2006, Mapping climate vulnerability and poverty in Africa
   Trischler J, 2019, PUBLIC MANAG REV, V21, P1595, DOI 10.1080/14719037.2019.1619810
   UNDP, 2012, Somalia human development report 2012
   UNDP, 2018, SOM DROUGHT IMP NEED
   United Nations, 2021, SECURITY COUNCIL M C
   United Nations Convention to Combat Disertification, 2017, The Global Land Outlook, First Edition, V1st ed.
   Vogel Jason, 2016, Climate Services, V2-3, P30, DOI 10.1016/j.cliser.2016.06.003
   von Uexkull N, 2021, J PEACE RES, V58, P3, DOI 10.1177/0022343320984210
   von Uexkull N, 2016, P NATL ACAD SCI USA, V113, P12391, DOI 10.1073/pnas.1607542113
   Ward P. J, 2020, Tech. rep
   Weiss DJ, 2020, NAT MED, V26, DOI 10.1038/s41591-020-1059-1
   Weiss DJ, 2018, NATURE, V553, P333, DOI 10.1038/nature25181
   Zanaga Daniele, 2021, Zenodo, DOI 10.5281/ZENODO.5571935
NR 75
TC 1
Z9 1
U1 3
U2 9
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0962-6298
EI 1873-5096
J9 POLIT GEOGR
JI Polit. Geogr.
PD JAN
PY 2023
VL 100
AR 102791
DI 10.1016/j.polgeo.2022.102791
EA DEC 2022
PG 13
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA 8B4OD
UT WOS:000916902700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zhu, H
   Yi, XG
   Li, YF
   Duan, YF
   Wang, XR
   Zhang, LB
AF Zhu, Hong
   Yi, Xiangui
   Li, Yongfu
   Duan, Yifan
   Wang, Xianrong
   Zhang, Libing
TI Limiting climatic factors in shaping the distribution pattern and niche
   differentiation of<i>Prunus dielsiana</i>in subtropical China
SO JOURNAL OF FORESTRY RESEARCH
LA English
DT Article
DE BIOCLIM; Climatic adaptation; Most limiting factors; Phylogenetic niche
   conservatism; Species distribution modeling
ID POTENTIAL DISTRIBUTIONS; SPECIES DISTRIBUTION; EVOLUTIONARY; DIVERSITY;
   FOREST; CONSERVATISM; PREDICTION; MODELS; SYSTEM; PLANTS
AB Subtropical forest in China has received much attention due to its complex geologic environment and bioclimatic heterogeneity. There have been very few studies addressing which climatic factors have shaped both distribution patterns and niche differentiation of species from this region. It also remains unclear whether phylogenetic niche conservatism retains in plant species from this biodiversity-rich subtropical region in China. In this study, we used geographic occurrence records and bioclimatic factors ofPrunus dielsiana(Rosaceae), a wild cherry species, combined with the classical ENM-based DIVA-GIS software to access contemporary distribution and richness patterns of its natural populations. The current distribution ofP. dielsianaoccupied a relatively wide range but exhibited an uneven pattern eastward in general, and the core distribution zone of its populations are projected to concentrate in the Wushan and Wuling Mountain ranges of western China. Hydrothermic variables, particularly the Temperature Seasonality (bio4) are screened out quantitatively to be the most influential factors that have shaped the current geographical patterns ofP. dielsiana. By comparison with other sympatric families, climatic niche at regional scale showed a pattern of phylogenetic niche conservatism within cherry species of Rosaceae. The effect of habitat filtering from altitude is more significant than those of longitude and latitude. We conclude that habitat filtering dominated by limiting hydrothermic factors is the primary driving process of the diversity pattern ofP. dielsianain subtropical China.
C1 [Zhu, Hong; Yi, Xiangui; Li, Yongfu; Duan, Yifan; Wang, Xianrong] Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Coll Biol & Environm,Cerasus Res Ctr, Key Lab State Forestry Adm Subtrop Forest Biodive, Nanjing 210037, Peoples R China.
   [Zhang, Libing] Missouri Bot Garden, 4344 Shaw Blvd, St Louis, MO 63110 USA.
   [Zhang, Libing] Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.
C3 Nanjing Forestry University; Missouri Botanical Gardens; Chinese Academy
   of Sciences; Chengdu Institute of Biology, CAS
RP Wang, XR (corresponding author), Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Coll Biol & Environm,Cerasus Res Ctr, Key Lab State Forestry Adm Subtrop Forest Biodive, Nanjing 210037, Peoples R China.; Zhang, LB (corresponding author), Missouri Bot Garden, 4344 Shaw Blvd, St Louis, MO 63110 USA.; Zhang, LB (corresponding author), Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.
EM wangxianrong66@njfu.edu.cn; Libing.Zhang@mobot.org
RI Duan, Yifan/IXN-2523-2023
OI Zhu, Hong/0000-0003-4048-2748
FU Three New Forestry Project of Jiangsu [LYSX [2015] 17, LYKJ [2018] 29,
   KYCX17-0815]; Forestry Technological Innovation and Promotion Program of
   Jiangsu Province [LYSX [2015] 17, LYKJ [2018] 29, KYCX17-0815];
   Postgraduate Research and Practice Innovation Program of Jiangsu
   Province [LYSX [2015] 17, LYKJ [2018] 29, KYCX17-0815]; Doctorate
   Fellowship Foundation of Nanjing Forestry University [LYSX [2015] 17,
   LYKJ [2018] 29, KYCX17-0815]
FX This research was funded by the Three New Forestry Project of Jiangsu,
   the Forestry Technological Innovation and Promotion Program of Jiangsu
   Province, the Postgraduate Research and Practice Innovation Program of
   Jiangsu Province and the Doctorate Fellowship Foundation of Nanjing
   Forestry University, grant number, LYSX [2015] 17, LYKJ [2018] 29 and
   KYCX17-0815, respectively.
CR Abdusalam A, 2018, PLANT DIVERSITY, V40, P284, DOI 10.1016/j.pld.2018.11.003
   Babar S, 2012, CURR SCI INDIA, V102, P1157
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Byeon DH, 2018, J ASIA-PAC BIODIVERS, V11, P325, DOI 10.1016/j.japb.2018.06.002
   Carey P. D., 1999, Watsonia, V22, P353
   CARPENTER G, 1993, BIODIVERS CONSERV, V2, P667, DOI 10.1007/BF00051966
   Cheng JW, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087011
   Clarke A, 2006, P ROY SOC B-BIOL SCI, V273, P2257, DOI 10.1098/rspb.2006.3545
   Crisp MD, 2012, NEW PHYTOL, V196, P681, DOI 10.1111/j.1469-8137.2012.04298.x
   da Silva KG, 2017, REV BIOL TROP, V65, P525, DOI 10.15517/rbt.v65i2.23594
   Fand BB, 2014, J ENVIRON BIOL, V35, P973
   Farias RS, 2017, FLORA, V234, P158, DOI 10.1016/j.flora.2017.07.011
   Fèroz SM, 2014, J FORESTRY RES, V25, P311, DOI 10.1007/s11676-013-0423-0
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Ganeshaiah KN, 2003, CURR SCI INDIA, V85, P1526
   Hijmans R. J., 2001, Plant Genetic Resources Newsletter, P15
   Huang ZB, 2019, IND CROP PROD, V138, DOI 10.1016/j.indcrop.2019.05.078
   Kriticos DJ, 2014, METHODS ECOL EVOL, V5, P956, DOI 10.1111/2041-210X.12244
   Lessard JP, 2009, ECOLOGY, V90, P2664, DOI 10.1890/09-0503.1
   Li C, 2003, CERASUS MILL FLORA C, P404
   López-Pujol J, 2011, MT RES DEV, V31, P261, DOI 10.1659/MRD-JOURNAL-D-11-00058.1
   Mantyka-pringle CS, 2003, GLOBAL CHANGE BIOL, V19, P1642
   Niklaus PA, 2017, ECOLOGY, V98, P1104, DOI 10.1002/ecy.1748
   Ning H, 2019, FORESTS, V10, DOI 10.3390/f10050425
   Pearson R. G., 2010, American Museum of Natural History: Centre for Biodiversity and Conservation, V3, P54
   Peterson AT, 1999, SCIENCE, V285, P1265, DOI 10.1126/science.285.5431.1265
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Prinzing A, 2001, P ROY SOC B-BIOL SCI, V268, P2383, DOI 10.1098/rspb.2001.1801
   Pulliam HR, 2000, ECOL LETT, V3, P349, DOI 10.1046/j.1461-0248.2000.00143.x
   Raina AP, 2015, IND CROP PROD, V69, P433, DOI 10.1016/j.indcrop.2015.02.052
   Retuerto R, 2004, PLANT ECOL, V170, P185, DOI 10.1023/B:VEGE.0000021665.69774.26
   Ricklefs RE, 2006, ECOLOGY, V87, pS3, DOI 10.1890/0012-9658(2006)87[3:EDATOO]2.0.CO;2
   RIEMER M, 2016, IUCN RED LIST THREAT, V2016, DOI DOI 10.2305/IUCN.UK.2016-3.RLTS.T50027827A50027830.EN
   Robertson MP, 2003, ECOL MODEL, V164, P153, DOI 10.1016/S0304-3800(03)00028-0
   Schneid CK, 1905, ILLUSTRIERTES HDB LA, P589
   Seidler TG, 2006, PLOS BIOL, V4, P2132, DOI 10.1371/journal.pbio.0040344
   Shi T, 2019, ECOL EVOL, V10, P1
   Stockwell D, 1999, INT J GEOGR INF SCI, V13, P143, DOI 10.1080/136588199241391
   Sutherst RW, 2007, CLIMEX version 3. CD and user's guide, P131
   Wang QG, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.1742
   Wu M, 2010, TROPICS, V19, P9, DOI 10.3759/tropics.19.9
   Xie C, 2020, CHINA POL J ENV STUD, V29, P1
   Xu Y, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02098-0
   Yang XQ, 2018, J FORESTRY RES, V29, P773, DOI 10.1007/s11676-017-0451-2
   Zhang LW, 2011, PLANT SOIL, V347, P211, DOI 10.1007/s11104-011-0839-2
   Zhao K, 2019, MITOCHONDRIAL DNA B, V4, P4033, DOI 10.1080/23802359.2019.1688723
   [赵清 Zhao Qing], 2003, [地理研究, Geographical Research], V22, P742
   Zhou YB, 2008, J MAMMAL, V89, P435, DOI 10.1644/07-MAMM-A-048R1.1
   Zhu H, 2019, CHINA SYST BIODIVERS, V17, P622
   Zhu Hong, 2018, Chinese Journal of Plant Ecology, V42, P1168, DOI 10.17521/cjpe.2018.0196
   Zou Dong-Ting, 2019, Chinese Journal of Plant Ecology, V43, P1, DOI 10.17521/cjpe.2018.0091
NR 51
TC 6
Z9 7
U1 0
U2 35
PU NORTHEAST FORESTRY UNIV
PI HARBIN
PA NO 26 HEXING RD, XIANGFANG DISTRICT, HARBIN, 150040, PEOPLES R CHINA
SN 1007-662X
EI 1993-0607
J9 J FORESTRY RES
JI J. For. Res.
PD AUG
PY 2021
VL 32
IS 4
BP 1467
EP 1477
DI 10.1007/s11676-020-01194-8
EA AUG 2020
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA TC3JB
UT WOS:000556151900001
DA 2025-01-10
ER

PT J
AU Yan, XY
   Deng, Y
   Fan, HW
   Su, JJ
   Gao, LL
   Gou, XH
AF Yan, Xiaoya
   Deng, Yang
   Fan, Haowen
   Su, Jiajia
   Gao, Linlin
   Gou, Xiaohua
TI Multi-century drought variability in the southern Min Mountains
SO INTERNATIONAL JOURNAL OF CLIMATOLOGY
LA English
DT Article
DE drought variability; reconstruction; southern Min Mountains; SPEI;
   tree-ring
ID NORTHEASTERN TIBETAN PLATEAU; TREE-RINGS; PRECIPITATION; PACIFIC;
   DENDROCLIMATOLOGY; RECONSTRUCTION; LINKAGES; CHINA; SHIFT
AB Information on moisture variability is important for climate adaptation and planning, which is urgently needed for the Jiuzhaigou County after it was hit by a magnitude 7.0 earthquake in August 2017, resulting in potential interactions between the earth surface processes and the hydroclimate. To study the regional hydroclimatic history beyond instrumental records, the first tree-ring hydroclimate reconstruction, based on Pinus tabuliformis, was conducted in the southern Min Mountains, which is situated close to the areas affected by the Jiuzhaigou earthquake. The reconstruction, spanning from 1684 to 2017, explained 59% of the variance for May-August standardized precipitation evapotranspiration index at a 12-month scale during 1962-2017. The recent drought, which occurred from 1992 to 2017 was the longest in duration, largest in magnitude, and had the second highest intensity. The most severe single year drought occurred in 1824, which was lower than the long-term mean by 4 sigma and affected several regions in and around the Northeast Qinghai-Tibet Plateau. The drought reconstruction was consistent with other moisture reconstructions, but dissimilar were also exist during some periods. There was a significant correlation between drought reconstruction and sea surface temperature over many oceans. However, the correlations were unstable over time. This study suggests the importance of developing a density tree-ring network to identify the spatial and temporal drought variability, as well as long-term record for understanding regional climate dynamics.
C1 [Yan, Xiaoya; Deng, Yang; Fan, Haowen; Su, Jiajia; Gao, Linlin; Gou, Xiaohua] Lanzhou Univ, Coll Earth Environm Sci, MOE Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China.
C3 Lanzhou University
RP Deng, Y (corresponding author), Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China.
EM dengy@lzu.edu.cn
RI Fan, Haowen/GPT-4634-2022; Su, Jiajia/HGA-4440-2022; Gao,
   Linlin/KHZ-7198-2024; Deng, Yang/GXF-6737-2022
OI Deng, Yang/0000-0002-0473-447X; Gao, Linlin/0000-0003-1805-5440; Su,
   Jiajia/0000-0001-7280-8859; Fan, Haowen/0000-0002-1648-560X
FU National Natural Science Foundation of China [41701216]; Fundamental
   Research Funds for the Central Universities [lzujbky-2017-41,
   lzujbky2019-30]; Open Foundation of Research Institute of Qilian
   Mountains
FX National Natural Science Foundation of China, Grant/Award Number:
   41701216; Fundamental Research Funds for the Central Universities,
   Grant/Award Numbers: lzujbky-2017-41, lzujbky2019-30; Open Foundation of
   Research Institute of Qilian Mountains
CR Asad F, 2017, CLIM DYNAM, V48, P3381, DOI 10.1007/s00382-016-3273-6
   Begueria S., 2013, SPEI: Calculation of the Standardized Precipitation-Evaporation Index
   Boyin Huang, 2016, Journal of Climate, V29, P8179, DOI 10.1175/JCLI-D-16-0836.1
   Cook E.R., 1990, METHODS DENDROCHRONO
   Cook ER, 2010, SCIENCE, V328, P486, DOI 10.1126/science.1185188
   Cook ER, 1997, HOLOCENE, V7, P361, DOI 10.1177/095968369700700314
   Cook ER, 1999, J CLIMATE, V12, P1145, DOI 10.1175/1520-0442(1999)012<1145:DRFTCU>2.0.CO;2
   COOK ER, 1994, INT J CLIMATOL, V14, P379, DOI 10.1002/joc.3370140404
   Dai A. G., 2011, Interdisciplinary Reviews: Climate Change, V2, P45, DOI 10.1002/wcc.81
   Davi NK, 2015, QUATERNARY SCI REV, V121, P89, DOI 10.1016/j.quascirev.2015.05.020
   Deng Y, 2017, CLIM DYNAM, V49, P2077, DOI 10.1007/s00382-016-3433-8
   Deng Y, 2016, INT J CLIMATOL, V36, P3550, DOI 10.1002/joc.4575
   Donat MG, 2017, NAT CLIM CHANGE, V7, P154, DOI 10.1038/NCLIMATE3160
   Fan XM, 2018, LANDSLIDES, V15, P967, DOI 10.1007/s10346-018-0960-x
   Fang KY, 2013, GLOBAL PLANET CHANGE, V107, P109, DOI 10.1016/j.gloplacha.2013.04.010
   Fang KY, 2012, GLOBAL PLANET CHANGE, V80-81, P190, DOI 10.1016/j.gloplacha.2011.10.009
   Fang KY, 2010, INT J CLIMATOL, V30, P1137, DOI 10.1002/joc.1974
   Feng S, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032484
   FRITTS HC, 1976, TREE RINGS CLIMATE J
   Gou XH, 2014, QUATERNARY RES, V81, P508, DOI 10.1016/j.yqres.2013.09.005
   Handwerger AL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-38300-0
   Holmes R., 1983, Program COFECHA user's manual
   Hu Q, 2016, J CLIMATE, V29, P659, DOI 10.1175/JCLI-D-14-00751.1
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   HUANG RH, 1992, J METEOROL SOC JPN, V70, P243, DOI 10.2151/jmsj1965.70.1B_243
   Liang EY, 2007, CHINESE SCI BULL, V52, P2715, DOI 10.1007/s11434-007-0351-5
   Liang EY, 2006, CLIMATIC CHANGE, V79, P403, DOI 10.1007/s10584-006-9082-x
   Lu RY, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027655
   Ma ZG, 2007, CHINESE SCI BULL, V52, P2130, DOI 10.1007/s11434-007-0284-z
   Mann ME, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034716
   Martin-Benito D, 2016, CLIM DYNAM, V47, P3011, DOI 10.1007/s00382-016-3010-1
   Maxwell JT, 2017, CLIM DYNAM, V49, P1479, DOI 10.1007/s00382-016-3396-9
   Melvin TM, 2008, DENDROCHRONOLOGIA, V26, P71, DOI 10.1016/j.dendro.2007.12.001
   Osborn T. J., 1997, Dendrochronologia, V15, P89
   Peng JF, 2013, QUATERN INT, V283, P98, DOI 10.1016/j.quaint.2012.04.021
   [史江峰 SHI Jiangfeng], 2007, [海洋地质与第四纪地质, Marine Geology & Quaternary Geology], V27, P95
   Song HM, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD016220
   [宋慧明 Song Huiming], 2007, [第四纪研究, Quaternary Sciences], V27, P486
   Stokes MA., 1968, INTRO TREE RING DATI
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Vicente-Serrano SM, 2013, P NATL ACAD SCI USA, V110, P52, DOI 10.1073/pnas.1207068110
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang YM, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010929
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2
   Willner SN, 2018, NAT CLIM CHANGE, V8, P594, DOI 10.1038/s41558-018-0173-2
   ZHANG D, 2004, 3000 YEARS METEOROLO
   Zhang RB, 2019, QUATERNARY SCI REV, V205, P10, DOI 10.1016/j.quascirev.2018.11.028
   [赵志江 Zhao Zhijiang], 2016, [生态学报, Acta Ecologica Sinica], V36, P173
   Zhao ZJ, 2012, AUST J BOT, V60, P602, DOI 10.1071/BT12051
NR 49
TC 7
Z9 7
U1 3
U2 42
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0899-8418
EI 1097-0088
J9 INT J CLIMATOL
JI Int. J. Climatol.
PD JUN 15
PY 2020
VL 40
IS 7
BP 3318
EP 3329
DI 10.1002/joc.6399
EA DEC 2019
PG 12
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA LW9NQ
UT WOS:000500750200001
DA 2025-01-10
ER

PT J
AU Nevo, E
AF Nevo, Eviatar
TI Evolution in action: adaptation and incipient sympatric speciation with
   gene flow across life at "Evolution Canyon", Israel
SO ISRAEL JOURNAL OF ECOLOGY & EVOLUTION
LA English
DT Article
DE adaptive evolution; incipient sympatric ecological speciation
ID LOWER NAHAL OREN; WILD BARLEY; DROSOPHILA-MELANOGASTER; MT. CARMEL;
   BACILLUS-SIMPLEX; MOUNT-CARMEL; GENOME SIZE; MICROCLIMATIC STRESSES;
   MOLECULAR EVOLUTION; ADAPTIVE DIVERGENCE
AB Various major evolutionary problems are still open, controversial or unsettled. These include even the basic evolutionary processes of adaptation and speciation. The "Evolution Canyon" model is a microscale natural laboratory that can highlight some of the basic problems requiring clarification (Nevo list of "Evolution Canyon" publications at
   [GRAPHICS]
   ). This is especially true if an interdisciplinary approach is practiced including ecological functional genomics, transcriptomics, proteomics, metabolomics and phenomics. Here I overview and reanalyze the incipient sympatric adaptive ecological speciation of five model organisms at "Evolution Canyon", across life: the soil bacterium, Bacillus simplex; wild barley, the progenitor of cultivated barley, Hordeum spontaneum; the tiny beetle Oryzaephilus surinamensis; the cosmopolitan fruit-fly, Drosophila melanogaster, and the Africa-originated spiny mouse, Acomys cahirinus. All five models of organisms display evolution in action of microclimatic adaptation and incipient sympatric adaptive ecological speciation on the tropical and temperate abutting slopes, separated on average by only 250 meters. Some distant species converge in their micro-climatic adaptations to the hot and dry "African", south-facing slope (SFS or AS) and to the cool and humid "European", north-facing slope (NSF or ES). Natural selection overrules ongoing inter-slope gene-flow between the free interbreeding populations within and between slopes, and leads to adaptive incipient sympatric ecological speciation on the dramatically opposite abutting xeric savannoid and mesic forested slopes.
C1 [Nevo, Eviatar] Univ Haifa, Inst Evolut, IL-31999 Haifa, Israel.
C3 University of Haifa
RP Nevo, E (corresponding author), Univ Haifa, Inst Evolut, IL-31999 Haifa, Israel.
EM nevo@research.haifa.ac.il
FU Ancell-Teicher Research Foundation of Genetic and Molecular Evolution
FX I thank all my collaborators from Israel and overseas for their
   excellent collaborations in the long-term "Evolution Canyon" project. I
   thank Kexin Li, Avigdor Beiles and Robin Permut for their help in
   reading and commenting on the manuscript. The Ancell-Teicher Research
   Foundation of Genetic and Molecular Evolution provided financial support
   throughout this long-term project. I extend my deepest gratitude to the
   Foundation. I devote this paper to my late dear friend President Joseph
   Teicher, a visionary leader and exemplary human being.
CR [Anonymous], 2004, Speciation
   [Anonymous], GENET MOL RES
   [Anonymous], ISRAEL ANN BOT
   [Anonymous], THESIS
   [Anonymous], P PLANT AN GEN 16 C
   [Anonymous], 2004, FITNESS LANDSCAPES O
   [Anonymous], P ROYAL SOC B
   [Anonymous], DROSOPHILA INFORM SE
   [Anonymous], THESIS
   [Anonymous], DROSOPHILA INFORM SE
   [Anonymous], ISR PLANT SCI
   [Anonymous], [No title captured]
   [Anonymous], 2011, ADV GENETIC RES
   [Anonymous], 1965, The American Naturalist
   Barash D, 2006, ISR J ECOL EVOL, V52, P263, DOI 10.1560/IJEE_52_3-4_263
   Belyayev A, 2014, J EVOLUTION BIOL, V27, P2573, DOI 10.1111/jeb.12513
   Carmel J, 2011, J HERED, V102, P593, DOI 10.1093/jhered/esr027
   Chen GX, 2011, P NATL ACAD SCI USA, V108, P12354, DOI 10.1073/pnas.1108444108
   COYNE JA, 1987, AM NAT, V130, P70, DOI 10.1086/284698
   Cronin JK, 2007, P NATL ACAD SCI USA, V104, P2773, DOI 10.1073/pnas.0611226104
   Dai F, 2014, P NATL ACAD SCI USA, V111, P13403, DOI 10.1073/pnas.1414335111
   Dai F, 2012, P NATL ACAD SCI USA, V109, P16969, DOI 10.1073/pnas.1215265109
   Darwin Charles., 1859, ON THE ORIGIN OF SPE
   Derzhavets Elena, 1997, Drosophila Information Service, V80, P73
   Dobzhansky T., 1977, Evolution
   Gasmanová N, 2007, ACTA BIOL CRACOV BOT, V49, P39
   Hadid Y, 2014, P NATL ACAD SCI USA, V111, P1043, DOI 10.1073/pnas.1322301111
   Hadid Y, 2013, P NATL ACAD SCI USA, V110, P2587, DOI 10.1073/pnas.1222588110
   Harry M, 1999, BIOLOGIA, V54, P685
   Hendry AP, 2004, EVOLUTION, V58, P2319
   Hoffmann Ary A., 1991, Evolutionary Genetics and Environmental Stress
   Hübner S, 2013, P NATL ACAD SCI USA, V110, P21059, DOI 10.1073/pnas.1321533111
   Iliadi KG, 2009, J EVOL BIOCHEM PHYS+, V45, P579, DOI 10.1134/S0022093009050041
   Jiggins FM, 2003, GENETICS, V164, P5
   Kim YB, 2014, P NATL ACAD SCI USA, V111, P10630, DOI 10.1073/pnas.1410372111
   Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
   Korol A, 2006, ISR J ECOL EVOL, V52, P507, DOI 10.1560/IJEE_52_3-4_507
   Korol A, 2006, P NATL ACAD SCI USA, V103, P18184, DOI 10.1073/pnas.0608777103
   Kossover O, 2009, J HERED, V100, P432, DOI 10.1093/jhered/esp014
   Li YC, 2004, MOL BIOL EVOL, V21, P991, DOI 10.1093/molbev/msh073
   Li YC, 2002, MOL ECOL, V11, P2453, DOI 10.1046/j.1365-294X.2002.01643.x
   Lidzbarsky GA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005914
   Lupu A, 2004, MUTAGENESIS, V19, P383, DOI 10.1093/mutage/geh045
   Lupu A, 2006, GENETICA, V127, P121, DOI 10.1007/s10709-005-2611-0
   Ma XY, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-188
   Mayr E., 2004, What Makes Biology Unique?: Considerations on the Autonomy of a Scientific Discipline
   Mayr E., 1963, Animal speciation and evolution
   Michel AP, 2010, P NATL ACAD SCI USA, V107, P9724, DOI 10.1073/pnas.1000939107
   Moyle LC, 2012, EVOL BIOL, V39, P207, DOI 10.1007/s11692-012-9180-9
   NEVO E, 1995, P ROY SOC B-BIOL SCI, V262, P149, DOI 10.1098/rspb.1995.0189
   Nevo E, 1998, J EXP ZOOL, V282, P95, DOI 10.1002/(SICI)1097-010X(199809/10)282:1/2<95::AID-JEZ12>3.0.CO;2-F
   Nevo E, 2005, BIOL J LINN SOC, V84, P205, DOI 10.1111/j.1095-8312.2005.00425.x
   Nevo E, 1997, THEOR POPUL BIOL, V52, P231, DOI 10.1006/tpbi.1997.1330
   Nevo E, 1997, HEREDITY, V78, P373, DOI 10.1038/hdy.1997.60
   Nevo E, 1998, HEREDITY, V80, P9, DOI 10.1046/j.1365-2540.1998.00274.x
   Nevo E, 2001, P NATL ACAD SCI USA, V98, P6233, DOI 10.1073/pnas.101109298
   Nevo E, 1998, ACTA THERIOL, P9
   Nevo E, 1998, CATENA, V33, P241, DOI 10.1016/S0341-8162(98)00071-X
   NEVO E, 1985, ACTA ZOOL FENN, V170, P131
   Nevo E., 2009, ISRAEL TRENDS EVOL B, V1, pe3, DOI [10.4081/eb.2009.e3, DOI 10.4081/EB.2009.E3]
   Nevo E, 2012, P NATL ACAD SCI USA, V109, P3412, DOI 10.1073/pnas.1121411109
   Nevo E, 2012, P NATL ACAD SCI USA, V109, P2960, DOI 10.1073/pnas.1120633109
   Nevo E, 2011, GENOME BIOL EVOL, V3, P1039, DOI 10.1093/gbe/evr052
   Owuor ED, 1997, MOL ECOL, V6, P1177, DOI 10.1046/j.1365-294X.1997.00296.x
   Parnas T, 2006, THESIS
   Parsons PA, 2005, BIOL REV, V80, P589, DOI 10.1017/S1464793105006822
   Pavlicek T, 2008, ISR J ECOL EVOL, V54, P165, DOI 10.1080/15659801.2008.10639620
   Pavlícek T, 2008, CENT EUR J BIOL, V3, P83, DOI 10.2478/s11535-007-0043-9
   Pavlicek Tomas, 2003, Israel Journal of Earth Sciences, V52, P1, DOI 10.1560/QD0A-9T22-4FGL-FGH6
   Perry EB, 2006, ISR J ECOL EVOL, V52, P543, DOI 10.1560/IJEE_52_3-4_543
   Phadnis N, 2009, SCIENCE, V323, P376, DOI 10.1126/science.1163934
   Powell THQ, 2012, EVOLUTION, V66, P2739, DOI 10.1111/j.1558-5646.2012.01625.x
   Rankevich D, 1996, ISR J ZOOL, V42, P425
   Rashkovetsky E., 2000, Drosophila Information Service, V83, P138
   Rashkovetsky Eugenia, 1997, Drosophila Information Service, V80, P83
   Raz S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005214
   Rundle HD, 2005, ECOL LETT, V8, P336, DOI 10.1111/j.1461-0248.2004.00715.x
   Shapiro JA, 2011, EVOLUTION VIEW 21 CE
   Sharaf K, 2008, ZOOL MIDDLE EAST, V45, P79, DOI 10.1080/09397140.2008.10638310
   Sharaf K, 2013, J STORED PROD RES, V53, P72, DOI 10.1016/j.jspr.2013.03.002
   Shen Y, 2013, CHEM BIODIVERS, V10, P1696, DOI 10.1002/cbdv.201300133
   Shen Yu, 2010, Biodiversity (Ottawa), V11, P19, DOI 10.1080/14888386.2010.9712660
   Sikorski J, 2005, P NATL ACAD SCI USA, V102, P15924, DOI 10.1073/pnas.0507944102
   Sikorski J, 2006, ISR J ECOL EVOL, V52, P527, DOI 10.1560/IJEE_52_3-4_527
   Sikorski J, 2007, ENVIRON MICROBIOL, V9, P716, DOI 10.1111/j.1462-2920.2006.01193.x
   Sim SB, 2012, J EVOLUTION BIOL, V25, P961, DOI 10.1111/j.1420-9101.2012.02489.x
   Singaravelan N, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008708
   Singaravelan N, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002993
   Singh SR, 2005, BEHAV GENET, V35, P753, DOI 10.1007/s10519-005-6119-2
   Smarda P, 2008, ANN BOT-LONDON, V101, P421, DOI 10.1093/aob/mcm307
   TCHERNOV E, 1968, SUCCESSION RODENT FA
   Timmusk S, 2009, J APPL MICROBIOL, V107, P736, DOI 10.1111/j.1365-2672.2009.04265.x
   Timmusk S, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017968
   Yang ZJ, 2013, INT J MOL SCI, V14, P20478, DOI 10.3390/ijms141020478
   Yang ZJ, 2011, GENETICA, V139, P1429, DOI 10.1007/s10709-012-9641-1
   Yang ZJ, 2009, MOL ECOL, V18, P2063, DOI 10.1111/j.1365-294X.2009.04140.x
   Zamorzaeva I, 2005, MOL ECOL, V14, P3235, DOI 10.1111/j.1365-294X.2005.02616.x
NR 97
TC 21
Z9 21
U1 7
U2 129
PU BRILL
PI LEIDEN
PA PLANTIJNSTRAAT 2, P O BOX 9000, 2300 PA LEIDEN, NETHERLANDS
SN 1565-9801
EI 2224-4662
J9 ISR J ECOL EVOL
JI Isr. J. Ecol. Evol.
PD OCT 2
PY 2014
VL 60
IS 2-4
BP 85
EP 98
DI 10.1080/15659801.2014.986879
PG 14
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA AW5YF
UT WOS:000346346100005
DA 2025-01-10
ER

PT J
AU Kibue, GW
   Liu, XY
   Zheng, JF
   Zhang, XH
   Pan, GX
   Li, LQ
   Han, XJ
AF Kibue, Grace Wanjiru
   Liu, Xiaoyu
   Zheng, Jufeng
   Zhang, Xuhui
   Pan, Genxing
   Li, Lianqing
   Han, Xiaojun
TI Farmers' Perceptions of Climate Variability and Factors Influencing
   Adaptation: Evidence from Anhui and Jiangsu, China
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Logit model; Agriculture; Climate change and variability; China;
   Adaptation
ID ECONOMETRIC-ANALYSIS; ADOPTION; AGRICULTURE; IMPACTS; DETERMINANTS;
   TECHNOLOGY; AWARENESS; WILLINGNESS; STRATEGIES; RESPONSES
AB Impacts of climate variability and climate change are on the rise in China posing great threat to agriculture and rural livelihoods. Consequently, China is undertaking research to find solutions of confronting climate change and variability. However, most studies of climate change and variability in China largely fail to address farmers' perceptions of climate variability and adaptation. Yet, without an understanding of farmers' perceptions, strategies are unlikely to be effective. We conducted questionnaire surveys of farmers in two farming regions, Yifeng, Jiangsu and Qinxi, Anhui achieving 280 and 293 responses, respectively. Additionally, we used climatological data to corroborate the farmers' perceptions of climate variability. We found that farmers' were aware of climate variability such that were consistent with climate records. However, perceived impacts of climate variability differed between the two regions and were influenced by farmers' characteristics. In addition, the vast majorities of farmers were yet to make adjustments in their farming practices as a result of numerous challenges. These challenges included socioeconomic and socio-cultural barriers. Results of logit modeling showed that farmers are more likely to adapt to climate variability if contact with extension services, frequency of seeking information, household heads' education, and climate variability perceptions are improved. These results suggest the need for policy makers to understand farmers' perceptions of climate variability and change in order to formulate policies that foster adaptation, and ultimately protect China's agricultural assets.
C1 [Kibue, Grace Wanjiru; Liu, Xiaoyu; Zheng, Jufeng; Zhang, Xuhui; Pan, Genxing; Li, Lianqing; Han, Xiaojun] Nanjing Agr Univ, Ctr Climate Change & Agr, 1 Weigang, Nanjing 210095, Jiangsu, Peoples R China.
   [Kibue, Grace Wanjiru] Egerton Univ, Fac Environm & Resources Dev, Nakuru 536, Kenya.
C3 Nanjing Agricultural University; Egerton University
RP Kibue, GW (corresponding author), Nanjing Agr Univ, Ctr Climate Change & Agr, 1 Weigang, Nanjing 210095, Jiangsu, Peoples R China.; Kibue, GW (corresponding author), Egerton Univ, Fac Environm & Resources Dev, Nakuru 536, Kenya.
EM kibuewanjiru@gmail.com
RI li, lianqing/GNP-1971-2022; Pan, Genxing/AAH-8501-2019; Han,
   Xiaojun/H-5895-2011
OI Li, Lianqing/0000-0002-0022-1108; Zheng, Jufeng/0000-0002-1304-2803
FU Ministry of Agriculture, China through the College of Environment and
   Resources, Nanjing Agricultural University
FX This paper is part of PhD thesis of the first author. It was financed by
   Ministry of Agriculture, China granted in 2012, through the College of
   Environment and Resources, Nanjing Agricultural University. The authors
   are grateful to the farmers and households in Qinxi and Yifeng, for
   their cooperation and assistance offered during the social survey
   interviews and discussions. Special thanks go to Dr Kun Chen for
   providing climate data. The authors are sincerely grateful to Nadine
   Marshall and two other anonymous reviewers for their constructive
   comments and suggestions.
CR Adesina AA, 2000, AGR ECOSYST ENVIRON, V80, P255, DOI 10.1016/S0167-8809(00)00152-3
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], DOING DEV RES
   [Anonymous], 2007, WORLD BANK POLICY RE
   [Anonymous], DEV CLIM CHANG
   [Anonymous], CLIMATIC CHANGE
   [Anonymous], STAT YB 2012
   [Anonymous], 1991, GT PLAINS RES
   [Anonymous], 2008, STAT FOOD INS WORLD
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], AFR MIN C ENV AMCEN
   [Anonymous], 79 IFA ANN C MONTR C
   [Anonymous], 2000, Econometric Analysis
   [Anonymous], 2001, RES ENV
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Bordens K.S., 2008, Research design and methods: A process approach, V7th
   Borick CP, 2010, SOC SCI QUART, V91, P777, DOI 10.1111/j.1540-6237.2010.00719.x
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   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
   Burton M, 1999, J AGR ECON, V50, P48
   Burton M, 2003, AUST J AGR RESOUR EC, V47, P29, DOI 10.1111/1467-8489.00202
   CHAMBERS EA, 1967, BIOMETRIKA, V54, P573, DOI 10.2307/2335048
   Chen YF, 2013, GLOBAL PLANET CHANGE, V104, P61, DOI 10.1016/j.gloplacha.2013.01.005
   Davidson DJ, 1996, ENVIRON BEHAV, V28, P302, DOI 10.1177/0013916596283003
   Desanker PV, 2001, CLIM RES, V17, P93, DOI 10.3354/cr017093
   Dolnicar S, 2012, J ENVIRON MANAGE, V105, P44, DOI 10.1016/j.jenvman.2012.03.042
   Doss CR, 2001, AGR ECON-BLACKWELL, V25, P27, DOI 10.1016/S0169-5150(00)00096-7
   Frolking S, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001425
   Gram-Hanssen K, 2010, J IND ECOL, V14, P150, DOI 10.1111/j.1530-9290.2009.00194.x
   Gregory GD, 2003, J APPL SOC PSYCHOL, V33, P1261, DOI 10.1111/j.1559-1816.2003.tb01949.x
   He XF, 2007, AGR WATER MANAGE, V89, P243, DOI 10.1016/j.agwat.2007.01.006
   Heffer P., 2009, ASSESSMENT FERTILIZE
   Hemmati M., 2009, Gender and Development, V17, P19, DOI 10.1080/13552070802696870
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Mariano MJ, 2012, AGR SYST, V110, P41, DOI 10.1016/j.agsy.2012.03.010
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Kan HD, 2012, ENVIRON INT, V42, P10, DOI 10.1016/j.envint.2011.03.003
   Keller E. F., 1985, Reflections on Gender and Science
   Kjellstrom Tord, 2009, N S W Public Health Bull, V20, P5, DOI 10.1071/NB08053
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Läpple D, 2011, ECOL ECON, V70, P1406, DOI 10.1016/j.ecolecon.2011.03.002
   Lee HF, 2008, ENVIRON MANAGE, V41, P168, DOI 10.1007/s00267-007-9052-8
   Lin ED, 2005, PHILOS T R SOC B, V360, P2149, DOI 10.1098/rstb.2005.1743
   Liu HM, 2013, ECOL ECON, V91, P28, DOI 10.1016/j.ecolecon.2013.03.015
   Liu X, 2013, J CLEAN PROD, V39, P231, DOI 10.1016/j.jclepro.2012.08.009
   Marshall MN, 1996, FAM PRACT, V13, P522, DOI 10.1093/fampra/13.6.522
   Marshall NA, 2013, AGR SYST, V117, P30, DOI 10.1016/j.agsy.2013.01.003
   Marshall NA, 2010, GLOBAL ENVIRON CHANG, V20, P36, DOI 10.1016/j.gloenvcha.2009.10.003
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Ogalleh SA, 2012, SUSTAINABILITY-BASEL, V4, P3302, DOI 10.3390/su4123302
   Pandey S, 2010, Rice in the Global Economy: Strategic Research and Policy Issues for Food Security
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Qiu J, 2010, NATURE, V465, P142, DOI 10.1038/465142a
   Rahman S, 2003, J ENVIRON MANAGE, V68, P183, DOI 10.1016/S0301-4797(03)00066-5
   Ronald P, 2011, GENETICS, V188, P11, DOI 10.1534/genetics.111.128553
   Roy SJ, 2011, CURR OPIN PLANT BIOL, V14, P232, DOI 10.1016/j.pbi.2011.03.002
   Shi H, 2008, J CLEAN PROD, V16, P842, DOI 10.1016/j.jclepro.2007.05.002
   Sidibé A, 2005, AGR WATER MANAGE, V71, P211, DOI 10.1016/j.agwat.2004.09.002
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smithers J, 1997, GLOBAL ENVIRON CHANG, V7, P129, DOI 10.1016/S0959-3780(97)00003-4
   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
   Subedi M, 2009, AGR SCI CHINA, V8, P1112, DOI 10.1016/S1671-2927(08)60319-3
   Sudarmi S., 2001, ENVIRON DEV SUSTAIN, V3, P169, DOI DOI 10.1023/A:1011633729185
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tester M, 2010, SCIENCE, V327, P818, DOI 10.1126/science.1183700
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   Wang J, 2010, J SOIL WATER CONSERV, V65, P113, DOI 10.2489/jswc.65.2.113
   Wang JX, 2006, AGR ECON-BLACKWELL, V34, P315, DOI 10.1111/j.1574-0864.2006.00128.x
   Worthington S, 2011, J RETAIL CONSUM SERV, V18, P534, DOI 10.1016/j.jretconser.2011.07.003
   Woudenberg Donna L., 2008, Great Plains Research, V18, P93
   Ziervogel G, 2005, AGR SYST, V83, P1, DOI 10.1016/j.agsy.2004.02.009
   Zong YQ, 2000, NAT HAZARDS, V22, P165, DOI 10.1023/A:1008119805106
NR 84
TC 62
Z9 66
U1 1
U2 58
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 MAY
PY 2016
VL 57
IS 5
BP 976
EP 986
DI 10.1007/s00267-016-0661-y
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DJ4KU
UT WOS:000374174800003
PM 26796698
DA 2025-01-10
ER

PT J
AU Moss, A
   Peh, JH
   Afiqah-Aleng, N
   Segaran, TC
   Gao, H
   Wang, PP
   Handayani, KS
   Lananan, F
   Wei, LS
   Fitzer, S
   Azra, MN
AF Moss, Amina
   Peh, Jia Hui
   Afiqah-Aleng, Nor
   Segaran, Thirukanthan Chandra
   Gao, Huan
   Wang, Panpan
   Handayani, Kiki Syaputri
   Lananan, Fathurrahman
   Wei, Lee Seong
   Fitzer, Susan
   Azra, Mohamad Nor
TI Aquaculture and climate change: a data-driven analysis
SO ANNALS OF ANIMAL SCIENCE
LA English
DT Article; Early Access
DE temperature; Marine biodiversity; seasonal variations; hypoxia; ocean
   acidification
ID FRESH-WATER AQUACULTURE; OCEAN ACIDIFICATION; ENVIRONMENTAL PERFORMANCE;
   ADAPTATION STRATEGIES; COASTAL; IMPACTS; GROWTH; VULNERABILITY;
   EMISSIONS; SHELLFISH
AB As climate change increasingly impacts the aquaculture industry, it poses challenges to production quality, management, and sustainability. This study provides a scientometric analysis of 47 years of research on aquaculture and climate change, analysing 4,785 articles and 224,895 references through CiteSpace software. The study highlights enduring themes such as "ocean acidification" and "global warming," alongside emerging concerns like "deforestation" and "nutrient runoff," reflecting new research directions. Notably, "seasonal variations" persist as a key focus due to their significant impact on aquaculture practices. Fourteen research clusters were identified, revealing a diverse array of topics from environmental performance to the effects of blue food systems and ocean acidification on marine life. Clusters related to "carbon sequestration," "seaweed farming," and "integrated multi-trophic aquaculture (IMTA)" emphasise the shift toward innovative practices aimed at mitigating climate impacts and enhancing sustainability. The analysis shows a need for more collaborative research, particularly from leading contributors such as the USA, Europe and Australia with underrepresented regions like Southeast Asia and Africa, to develop resilient aquaculture systems capable of adapting to climatic challenges. It advocates for the integration of new technologies and the exploration of sustainable aquaculture practices that minimise environmental impacts while enhancing global food security. This approach sets a direction for future research to promote adaptive strategies and technological innovations in aquaculture.
C1 [Moss, Amina; Fitzer, Susan] Univ Stirling, Inst Aquaculture, Fac Nat Sci, Stirling FK9 4LA, Scotland.
   [Peh, Jia Hui; Afiqah-Aleng, Nor; Segaran, Thirukanthan Chandra] Univ Malaysia Terengganu, Inst Climate Adaptat & Marine Biotechnol ICAMB, Terengganu 21030, Kuala Nerus, Malaysia.
   [Gao, Huan; Wang, Panpan] Jiangsu Ocean Univ, Jiangsu Key Lab Marine Bioresources & Environm, Lianyungang 222005, Peoples R China.
   [Handayani, Kiki Syaputri; Azra, Mohamad Nor] Natl Res & Innovat Agcy BRIN, Earth Sci & Maritime Res Org, Res Ctr Marine & Land Bioind, Pemenang 83352, Indonesia.
   [Lananan, Fathurrahman] Univ Sultan Zainal Abidin, Fac Bioresources & Food Ind, Besut 22200, Terengganu, Malaysia.
   [Wei, Lee Seong] Univ Malaysia Kelantan, Fac Agrobased Ind, Dept Agr Sci, Jeli 17600, Kelantan, Malaysia.
C3 University of Stirling; Universiti Malaysia Terengganu; Jiangsu Ocean
   University; National Research & Innovation Agency of Indonesia (BRIN);
   Universiti Sultan Zainal Abidin; Universiti Malaysia Kelantan
RP Afiqah-Aleng, N (corresponding author), Univ Malaysia Terengganu, Inst Climate Adaptat & Marine Biotechnol ICAMB, Terengganu 21030, Kuala Nerus, Malaysia.; Azra, MN (corresponding author), Natl Res & Innovat Agcy BRIN, Earth Sci & Maritime Res Org, Res Ctr Marine & Land Bioind, Pemenang 83352, Indonesia.
EM afiqahaleng@umt.edu.my; azramn@umt.edu.my
RI Afiqah-Aleng, Nor/AAK-6912-2020; Wang, Panpan/GXF-3400-2022; Azra,
   Mohamad Nor/T-6226-2018; Lananan, Fathurrahman/B-9984-2017; Moss,
   Amina/AGJ-4723-2022; Lananan, Fathurrahman/E-1092-2013
OI Moss, Amina/0000-0001-6206-8973; Lananan,
   Fathurrahman/0000-0003-0991-4573
FU Universiti Malaysia Terengganu; Strategic Research Grant (SRG) Scheme
   [UMT/SRG 2023/55504]
FX This study was carried out within the Institute of Climate Adaptation
   and Marine Biotechnology and received internal funding from the
   Universiti Malaysia Terengganu, the Strategic Research Grant (SRG)
   Scheme with the reference number of UMT/SRG 2023/55504 entitled
   "Multi-physiological approaches for unravelling the effects of global
   warming on the commercial Malaysian ectothermic species".
CR Adamo SA, 2011, J EXP BIOL, V214, P1997, DOI 10.1242/jeb.056531
   Ahmed N, 2021, J CLEAN PROD, V297, DOI 10.1016/j.jclepro.2021.126604
   Ahmed N, 2016, REG ENVIRON CHANGE, V16, P1659, DOI 10.1007/s10113-015-0899-6
   Ahmed N, 2015, AQUACULT REP, V2, P67, DOI 10.1016/j.aqrep.2015.08.001
   Ahmed N, 2015, OCEAN COAST MANAGE, V114, P42, DOI 10.1016/j.ocecoaman.2015.06.008
   Alfaro AC, 2014, NEW ZEAL J MAR FRESH, V48, P311, DOI 10.1080/00288330.2014.933115
   Alleway HK, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0128
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Anderson JL, 2017, FRONT ECON GLOBAL, V17, P159, DOI 10.1108/S1574-871520170000017011
   Angel D. L., 2019, ORGANIC AQUACULTURE, P103, DOI DOI 10.1007/978-3-030-05603-26
   [Anonymous], FAO Fisheries and Aquaculture Department
   [Anonymous], 2014, The State of World Fisheries and Aquaculture 2014
   [Anonymous], 2022, The State of World Fisheries and Aquaculture 2022. Towards Blue Transformation, DOI DOI 10.4060/CC0461-N
   Asiedu Berchie, 2018, AAS Open Res, V1, P26, DOI 10.12688/aasopenres.12911.1
   Aubin J, 2015, AQUACULTURE, V435, P217, DOI 10.1016/j.aquaculture.2014.09.019
   Ayer NW, 2009, J CLEAN PROD, V17, P362, DOI 10.1016/j.jclepro.2008.08.002
   Azra MN, 2022, ENVIRON EVID, V11, DOI 10.1186/s13750-022-00263-1
   Bakun A, 2015, CURR CLIM CHANGE REP, V1, P85, DOI 10.1007/s40641-015-0008-4
   Barange M., 2018, FAO Fisheries and Aquaculture Technical Paper No. 627
   Barton A, 2015, OCEANOGRAPHY, V28, P146, DOI 10.5670/oceanog.2015.38
   Barton A, 2012, LIMNOL OCEANOGR, V57, P698, DOI 10.4319/lo.2012.57.3.0698
   Beemelmanns A, 2021, G3-GENES GENOM GENET, V11, DOI 10.1093/g3journal/jkab102
   Béné C, 2016, WORLD DEV, V79, P177, DOI 10.1016/j.worlddev.2015.11.007
   Bene C, 2015, FOOD SECUR, V7, P261, DOI 10.1007/s12571-015-0427-z
   Bennett Michael, 2024, Green and Low-Carbon Economy, V2, P71, DOI 10.47852/bonviewGLCE3202978
   Boëchat IG, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142660
   Bostock J, 2016, AQUACULT INT, V24, P699, DOI 10.1007/s10499-016-9992-1
   Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
   Buck CM, 2014, ESTUAR COAST, V37, P847, DOI 10.1007/s12237-013-9737-6
   Byrne M, 2019, CONSERV PHYSIOL, V7, DOI 10.1093/conphys/coz062
   Cao L, 2023, NAT SUSTAIN, V6, P1186, DOI 10.1038/s41893-023-01156-y
   Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149
   Cascarano MC, 2021, PATHOGENS, V10, DOI 10.3390/pathogens10091205
   Chan F., 2019, Oceanography
   Chan HL, 2024, Aquaculture, V2024, P583
   Chand BK, 2012, EXPLOR ANIM MED RES, V2, P170
   Chand BK, 2012, Aquaculture in changing climate of Sundarban: Survey report on climate change vulnerabilities, aquaculture practices & coping measures in Sagar and Basanti blocks of Indian Sundarban
   Chen C., 2022, How to Use CiteSpace (6.1.R6)
   Chen CM, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223994
   Chen CM, 2017, J DATA INFO SCI, V2, P1, DOI 10.1515/jdis-2017-0006
   Chen J, 2018, NAT CLIM CHANGE, V8, P981, DOI 10.1038/s41558-018-0313-8
   Chen YN, 2021, AQUACULTURE, V534, DOI 10.1016/j.aquaculture.2020.736277
   Chopin T, 2015, FISHERIES, V40, P28, DOI 10.1080/03632415.2014.986571
   Combe M, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11041049
   Cooley SR, 2012, FISH FISH, V13, P182, DOI 10.1111/j.1467-2979.2011.00424.x
   Crespel A., 2017, Marine Biology, P164
   Cunningham SC, 2016, AQUAC RES, V47, P2375, DOI 10.1111/are.12684
   Cushman JC, 2000, CURR OPIN PLANT BIOL, V3, P117, DOI 10.1016/S1369-5266(99)00052-7
   Dasgupta S, 2017, ECOL ECON, V139, P128, DOI 10.1016/j.ecolecon.2017.04.009
   Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
   Duarte CM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00100
   Dubey SK, 2017, ENVIRON DEV, V21, P38, DOI 10.1016/j.envdev.2016.12.002
   Ekstrom JA, 2015, NAT CLIM CHANGE, V5, P207, DOI 10.1038/NCLIMATE2508
   FAO, 2018, STATE WORLD FISHERIE
   Fernandes JF, 2021, AQUACULTURE, V542, DOI 10.1016/j.aquaculture.2021.736871
   Fitzer SC, 2019, GLOBAL CHANGE BIOL, V25, P4105, DOI 10.1111/gcb.14818
   Fitzer SC, 2016, SCI REP-UK, V6, DOI 10.1038/srep21076
   Franco A., 2019, Biology Letters, V15
   Frederikse T, 2020, NATURE, V584, P393, DOI 10.1038/s41586-020-2591-3
   Froehlich HE, 2018, NAT ECOL EVOL, V2, P1745, DOI 10.1038/s41559-018-0669-1
   Fujii M., 2021, Continuous Monitoring and Future Projection of Ocean Warming, Acidification, and Deoxygenation on the Subarctic Coast of Hokkaido, Japan, P8
   Fujita R, 2023, MAR POLICY, V155, DOI 10.1016/j.marpol.2023.105747
   Gamperl AK, 2020, AQUACULTURE, V519, DOI 10.1016/j.aquaculture.2019.734874
   Garlock T, 2022, GLOB FOOD SECUR-AGR, V32, DOI 10.1016/j.gfs.2022.100620
   Gazeau F, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028554
   Gentry RR, 2017, NAT ECOL EVOL, V1, P1317, DOI 10.1038/s41559-017-0257-9
   Gephart JA, 2021, NATURE, V597, P360, DOI 10.1038/s41586-021-03889-2
   Glibert PM, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/105001
   Grantham BA, 2004, NATURE, V429, P749, DOI 10.1038/nature02605
   Handisyde N, 2017, FISH FISH, V18, P466, DOI 10.1111/faf.12186
   Herbeck LS, 2013, CONT SHELF RES, V57, P92, DOI 10.1016/j.csr.2012.05.006
   Hou ZS, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135272
   Islam MJ, 2020, SCI TOTAL ENVIRON, V735, DOI 10.1016/j.scitotenv.2020.139371
   Jones AC, 2015, FISH FISH, V16, P668, DOI 10.1111/faf.12086
   Jones AR, 2022, BIOSCIENCE, V72, P123, DOI 10.1093/biosci/biab126
   Kalele DN, 2021, SCI AFR, V12, DOI 10.1016/j.sciaf.2021.e00814
   Kelly JR, 2001, NITROGEN IN THE ENVIRONMENT: SOURCES, PROBLEMS AND MANAGEMENT, P207, DOI 10.1016/B978-044450486-9/50011-X
   Kole C, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00563
   Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
   Lauvset SK, 2015, BIOGEOSCIENCES, V12, P1285, DOI 10.5194/bg-12-1285-2015
   Lee TH, 2021, J EXP MAR BIOL ECOL, V541, DOI 10.1016/j.jembe.2021.151562
   Lemasson AJ, 2019, MAR ENVIRON RES, V143, P82, DOI 10.1016/j.marenvres.2018.11.006
   Leung JYS, 2022, SMALL, V18, DOI 10.1002/smll.202107407
   Li S, 2016, AQUAC RES, V47, P1537, DOI 10.1111/are.12614
   Little D., 2016, Aquaculture Technologies for Food Security, P93
   Liu Y, 2019, COMP BIOCHEM PHYS D, V29, P308, DOI 10.1016/j.cbd.2019.01.006
   Lowe AT, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37764-4
   Ma CY, 2021, ICES J MAR SCI, V78, P2922, DOI 10.1093/icesjms/fsab168
   Ma R, 2023, ENVIRON SCI POLLUT R, V30, P115480, DOI 10.1007/s11356-023-29970-z
   Mahmoud MA, 2023, AQUAC RES, V2023, DOI 10.1155/2023/8292007
   Matvienko N, 2020, ACTA ICHTHYOL PISCAT, V50, P333, DOI 10.3750/AIEP/02979
   Maulu S., 2021, Fsufs, P5
   Melzner F, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024223
   Miranda R, 2018, J INFORMETR, V12, P1015, DOI 10.1016/j.joi.2018.08.006
   Mitchell A., 2023, Sci Total Env, V883
   Molinos JG, 2016, NAT CLIM CHANGE, V6, P83, DOI 10.1038/NCLIMATE2769
   Morshed MM, 2020, AGR WATER MANAGE, V238, DOI 10.1016/j.agwat.2020.106213
   Moss AS, 2024, bioRxiv, DOI [10.1101/2024.03.14.584959, 10.1101/2024.03.14.584959, DOI 10.1101/2024.03.14.584959]
   Muhala V, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.714187
   Muralidhar M, 2021, AQUAT ECOSYST HEALTH, V24, P28, DOI 10.14321/aehm.024.03.05
   Nang T., 2017, Open Access Journal, V1, DOI [10.19080/OFOAJ.2017.01.555563, DOI 10.19080/OFOAJ.2017.01.555563]
   Nardi A, 2018, AQUAT TOXICOL, V196, P53, DOI 10.1016/j.aquatox.2018.01.008
   Nardi A, 2017, CHEMOSPHERE, V169, P493, DOI 10.1016/j.chemosphere.2016.11.093
   Narita D, 2012, CLIMATIC CHANGE, V113, P1049, DOI 10.1007/s10584-011-0383-3
   Naylor RL, 2021, NATURE, V591, P551, DOI 10.1038/s41586-021-03308-6
   Nguyen T. V., 2022, EUROPEAN J BUSINESS, V8, P42, DOI [https://doi.org/10.11118/ejobsat.2022.006, DOI 10.11118/EJOBSAT.2022.006]
   Nicholls RJ, 2011, OCEANOGRAPHY, V24, P144, DOI 10.5670/oceanog.2011.34
   Noor MIM, 2021, INT AQUAT RES, V13, P271, DOI [10.22034/IAR.2021.1932503.1166, 10.22034/iar.2021.1932503.1166]
   O'Neill EA, 2022, SCI TOTAL ENVIRON, V802, DOI 10.1016/j.scitotenv.2021.149800
   Ould Ellen, 2022, CABI Reviews, V17, P1, DOI 10.1079/cabireviews202217009
   Oyinlola MA, 2020, GLOBAL CHANGE BIOL, V26, P2134, DOI 10.1111/gcb.14974
   Pathirana E, 2022, ANIM PROD SCI, V62, P1040, DOI 10.1071/AN21505
   Pelletier N, 2007, AQUACULTURE, V272, P399, DOI 10.1016/j.aquaculture.2007.06.024
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rahman ML, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147657
   Ramajo L, 2019, ICES J MAR SCI, V76, P1836, DOI 10.1093/icesjms/fsz080
   Reid GK, 2019, AQUACULT ENV INTERAC, V11, P569, DOI 10.3354/aei00332
   Richards DR, 2016, P NATL ACAD SCI USA, V113, P344, DOI 10.1073/pnas.1510272113
   Rocha CP, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10030417
   Casimiro ACR, 2018, ZOOLOGIA-CURITIBA, V35, DOI 10.3897/zoologia.35.e14638
   Rud Y., 2020, Ribogospod. nauka Ukr., V4, P78, DOI [10.15407/fsu2020.04.078, DOI 10.15407/FSU2020.04.078]
   Sae-Lim P, 2017, J ANIM SCI, V95, P1801, DOI 10.2527/jas.2016.1066
   Sampaio E, 2018, SCI TOTAL ENVIRON, V618, P388, DOI 10.1016/j.scitotenv.2017.11.059
   Samuel-Fitwi B, 2013, J CLEAN PROD, V52, P225, DOI 10.1016/j.jclepro.2013.02.031
   Scambos T, 2022, ARCT ANTARCT ALP RES, V54, P111, DOI 10.1080/15230430.2022.2047247
   Scanes E, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15550-z
   Scavia D, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf938
   Schäfer N, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10070649
   Servili A, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159804
   Shi KP, 2020, SCI TOTAL ENVIRON, V747, DOI 10.1016/j.scitotenv.2020.141238
   Soliman N., 2023, Mediterr, DOI [10.21608/maj.2023.210715.1023, DOI 10.21608/MAJ.2023.210715.1023]
   Stavrakidis-Zachou O., 2021, Climatic Change, V165
   Tegomo F., 2021, Physiological and Histological Studies. Animals: an Open Access Journal from MDPI, V11
   Thirunavukkarasu A., 2015, Controlled Breeding, Seed Production and Culture of Brackishwater Fishes, P75
   Troell M, 2014, P NATL ACAD SCI
   Turchini GM, 2021, REV AQUACULT, V13, P3, DOI 10.1111/raq.12517
   Valenti WC, 2021, AQUACULT REP, V19, DOI 10.1016/j.aqrep.2021.100611
   Do VQ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137121
   Wade NM, 2019, J THERM BIOL, V80, P64, DOI 10.1016/j.jtherbio.2018.12.021
   Waldbusser GG, 2015, NAT CLIM CHANGE, V5, P273, DOI 10.1038/NCLIMATE2479
   Wang L, 2021, MAR BIOTECHNOL, V23, P445, DOI 10.1007/s10126-021-10036-5
   Wheeler R, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100313
   Whitefield CR, 2021, COAST MANAGE, V49, P532, DOI 10.1080/08920753.2021.1947133
   Wijsman J. W. M., 2018, Goods and Services of Marine Bivalves, P7, DOI [10.1007/978-3-319-96776-92, DOI 10.1007/978-3-319-96776-92]
   Willer D, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.171142
   Xiao X, 2021, SCI TOTAL ENVIRON, V776, DOI 10.1016/j.scitotenv.2021.145192
   Yang P, 2019, J GEOPHYS RES-BIOGEO, V124, P1290, DOI 10.1029/2019JG005025
   Yang P, 2015, ATMOS ENVIRON, V115, P269, DOI 10.1016/j.atmosenv.2015.05.067
   Yu L., 2019, KMI Int. J. Marit. Aff. Fish., DOI [10.54007/ijmaf.2019.11.2.17, DOI 10.54007/IJMAF.2019.11.2.17]
   Yu LQ, 2021, ENVIRON SCI TECHNOL, V55, P5506, DOI 10.1021/acs.est.0c06616
   Yuan JJ, 2019, NAT CLIM CHANGE, V9, P318, DOI 10.1038/s41558-019-0425-9
   Zhao XG, 2020, CHEMOSPHERE, V243, DOI 10.1016/j.chemosphere.2019.125415
   Zheng YH, 2019, STOCH ENV RES RISK A, V33, P1203, DOI 10.1007/s00477-019-01685-z
   ,, 2020, The state of world fisheries and aquaculture 2020: sustainability in action
NR 155
TC 0
Z9 0
U1 10
U2 10
PU WALTER DE GRUYTER GMBH
PI BERLIN
PA GENTHINER STRASSE 13, D-10785 BERLIN, GERMANY
SN 1642-3402
EI 2300-8733
J9 ANN ANIM SCI
JI Ann. Anim. Sci.
PD 2024 SEP 7
PY 2024
DI 10.2478/aoas-2024-0085
EA SEP 2024
PG 52
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA F4C2R
UT WOS:001309308600001
OA gold
DA 2025-01-10
ER

PT J
AU Vaughan, C
   Dessai, S
AF Vaughan, Catherine
   Dessai, Suraje
TI Climate services for society: origins, institutional arrangements, and
   design elements for an evaluation framework
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID RISK-MANAGEMENT; EL-NINO; OUTLOOK FORUMS; FORECASTS; INFORMATION;
   POLICY; SCIENCE; WEATHER; KNOWLEDGE; PRECIPITATION
AB Climate services involve the generation, provision, and contextualization of information and knowledge derived from climate research for decision making at all levels of society. These services are mainly targeted at informing adaptation to climate variability and change, widely recognized as an important challenge for sustainable development. This paper reviews the development of climate services, beginning with a historical overview, a short summary of improvements in climate information, and a description of the recent surge of interest in climate service development including, for example, the Global Framework for Climate Services, implemented by the World Meteorological Organization in October 2012. It also reviews institutional arrangements of selected emerging climate services across local, national, regional, and international scales. By synthesizing existing literature, the paper proposes four design elements of a climate services evaluation framework. These design elements include: problem identification and the decision-making context; the characteristics, tailoring, and dissemination of the climate information; the governance and structure of the service, including the process by which it is developed; and the socioeconomic value of the service. The design elements are intended to serve as a guide to organize future work regarding the evaluation of when and whether climate services are more or less successful. The paper concludes by identifying future research questions regarding the institutional arrangements that support climate services and nascent efforts to evaluate them. (C) 2014 The Authors. WIREs Climate Change published by John Wiley & Sons, Ltd.
C1 [Vaughan, Catherine; Dessai, Suraje] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds, W Yorkshire, England.
   [Vaughan, Catherine; Dessai, Suraje] Univ Leeds, Sch Earth & Environm, Ctr Climate Change Econ & Policy, Leeds, W Yorkshire, England.
   [Vaughan, Catherine] Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA.
C3 University of Leeds; University of Leeds; Columbia University
RP Dessai, S (corresponding author), Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds, W Yorkshire, England.
EM s.dessai@leeds.ac.uk
RI Dessai, Suraje/D-4219-2009; Vaughan, Catherine/P-9455-2019
FU UK Met Office; University of Leeds PhD scholarship; UK Natural
   Environment Research Council [NE/H003509/1]; European Research Council
   under the European Union/ERC [284369, 308291]; UK ESRC Centre for
   Climate Change Economics and Policy; NERC [NE/H003509/1, NE/H003525/1]
   Funding Source: UKRI; European Research Council (ERC) [284369] Funding
   Source: European Research Council (ERC)
FX Catherine Vaughan was supported by a University of Leeds PhD scholarship
   with CASE support from the UK Met Office. Suraje Dessai was supported by
   the UK Natural Environment Research Council (NE/H003509/1), the European
   Research Council under the European Union's Seventh Framework Programme
   (FP7/2007-2013)/ERC Grant agreement no. 284369 and 308291, and the UK
   ESRC Centre for Climate Change Economics and Policy.
CR Adams RM, 1999, CLIMATE RES, V13, P165, DOI 10.3354/cr013165
   Agrawala S, 2001, SCI TECHNOL HUM VAL, V26, P454, DOI 10.1177/016224390102600404
   Agrawala S, 1998, CLIMATIC CHANGE, V39, P605, DOI 10.1023/A:1005315532386
   Agrawala S., 2011, OECD ENV WORKING PAP
   [Anonymous], ANN M AM GEOPH UN SA
   [Anonymous], WMO B
   [Anonymous], ENV RES LETT
   [Anonymous], ASSESSMENT CLIMATE I
   [Anonymous], 2009, INF DEC CHANG CLIM
   [Anonymous], RED CROSS RED CRESC
   [Anonymous], EC VALUE CLIMATE WEA
   [Anonymous], P WORLD CLIMATE C C
   [Anonymous], QUEENSLAND GOVT PROJ
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], NATO SCI SERIES
   [Anonymous], 2007, WMO B
   [Anonymous], GCOS138
   [Anonymous], GLOB FRAM CLIM SERV
   [Anonymous], NATURE
   [Anonymous], 2005, KNOWL ACT SYST SEAS
   [Anonymous], WORKING PAPER
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   [Anonymous], 2009, WMO B
   [Anonymous], BUILD RES AD CLIM CH
   [Anonymous], 2006, Completing the Forecast: Characterizing and Communicating Uncertainty for Better Decisions Using Weather and Climate Forecasts, P124, DOI DOI 10.17226/11699
   [Anonymous], EFF PARTN WEATH CLIM
   [Anonymous], 2013, Eos., DOI DOI 10.1002/2013EO110002
   [Anonymous], BETTER CLIMATE DISAS
   [Anonymous], WMO C LIV CLIM VAR C
   [Anonymous], 2016, P NATL ACAD SCI USA, DOI DOI 10.1073/pnas.0900518107
   [Anonymous], P 2 WORLD CLIM C
   [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, GUID FRAM CLIM SERV
   [Anonymous], INT S PUBL WEATH SER
   [Anonymous], 1999, MAKING CLIMATE FOREC
   [Anonymous], SEC SUST LIV SOC EC
   [Anonymous], ENV CONSERV
   [Anonymous], CLIM IMP RES U WASH
   [Anonymous], 2009, WMO B
   [Anonymous], OVERVIEW MAIN INT CL
   Archer ERM, 2003, B AM METEOROL SOC, V84, P1525, DOI 10.1175/BAMS-84-11-1525
   Berri GJ, 2005, INT J CLIMATOL, V25, P365, DOI 10.1002/joc.1129
   Bettencourt S., 2011, Bulletin - World Meteorological Organization, V60, P108
   Braman LM, 2013, DISASTERS, V37, P144, DOI 10.1111/j.1467-7717.2012.01297.x
   Broad K, 2000, SCIENCE, V289, P1693
   Broad K, 2002, CLIMATIC CHANGE, V54, P415, DOI 10.1023/A:1016164706290
   CANE MA, 1986, NATURE, V321, P827, DOI 10.1038/321827a0
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Changnon D, 2004, B AM METEOROL SOC, V85, P601, DOI 10.1175/BAMS-85-4-601
   Changnon D, 2010, J APPL METEOROL CLIM, V49, P325, DOI 10.1175/2009JAMC2234.1
   CHANGNON SA, 1990, B AM METEOROL SOC, V71, P527, DOI 10.1175/1520-0477(1990)071<0527:RCCNIF>2.0.CO;2
   Changnon SA, 2005, CLIMATIC CHANGE, V68, P1, DOI 10.1007/s10584-005-1673-4
   Coelho CAS, 2010, CURR OPIN ENV SUST, V2, P317, DOI 10.1016/j.cosust.2010.09.002
   Corringham TW, 2008, J FOREST, V106, P71
   DeGaetano AT, 2010, B AM METEOROL SOC, V91, P1633, DOI 10.1175/2010BAMS2936.1
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dinku T, 2010, CLIM DEV, V2, P9, DOI 10.3763/cdev.2010.0029
   Duerden F, 2004, ARCTIC, V57, P204, DOI 10.14430/arctic496
   Dutton JA, 2002, B AM METEOROL SOC, V83, P1303, DOI 10.1175/1520-0477-83.9.1303
   Edwards PN, 2011, WIRES CLIM CHANGE, V2, P128, DOI 10.1002/wcc.95
   Everingham YL, 2012, INT J CLIMATOL, V32, P1069, DOI 10.1002/joc.2333
   Everinghama YL, 2002, AGR SYST, V74, P459, DOI 10.1016/S0308-521X(02)00050-1
   Fleming G., 2008, World Meteorological Organisation Bulletin, V57, P208
   Freebairn JW, 2002, METEOROL APPL, V9, P33, DOI 10.1017/S1350482702001044
   Furman C, 2011, CLIMATIC CHANGE, V109, P791, DOI 10.1007/s10584-011-0238-y
   García-Morales MB, 2007, INT J CLIMATOL, V27, P1691, DOI 10.1002/joc.1608
   Giger Francois, 2007, VGB Powertech, V87, P40
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Goddard L, 2010, PROCEDIA ENVIRON SCI, V1, P81, DOI 10.1016/j.proenv.2010.09.007
   Goddard L, 2012, B AM METEOROL SOC, V93, P621, DOI 10.1175/BAMS-D-11-00220.1
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hansen JW, 2011, EXP AGR, V47, P205, DOI 10.1017/S0014479710000876
   Harrison M., 2007, SEASONAL CLIMATE FOR, P299
   Hartmann HC, 2002, B AM METEOROL SOC, V83, P683, DOI 10.1175/1520-0477(2002)083<0683:CBESCF>2.3.CO;2
   HECHT AD, 1984, B AM METEOROL SOC, V65, P365
   Hegger D, 2012, ENVIRON SCI POLICY, V18, P52, DOI 10.1016/j.envsci.2012.01.002
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hunt JCR, 2013, Q J ROY METEOR SOC, V139, P561, DOI 10.1002/qj.1993
   JASANOFF SS, 1987, SOC STUD SCI, V17, P195, DOI 10.1177/030631287017002001
   Krauss W, 2012, NAT CULT, V7, P213, DOI 10.3167/nc.2012.070206
   Lavers D, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL041365
   Lemos M.C., 2007, Sci. Publ. Pol, V34, P109, DOI 10.3152/030234207X190964
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Livezey RE, 2008, B AM METEOROL SOC, V89, P843, DOI 10.1175/2008BAMS2488.1
   Lövbrand E, 2011, SCI PUBL POLICY, V38, P225, DOI 10.3152/030234211X12924093660516
   Lynch P, 2008, J COMPUT PHYS, V227, P3431, DOI 10.1016/j.jcp.2007.02.034
   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
   Meinke H, 2006, CLIM RES, V33, P101, DOI 10.3354/cr033101
   Meza FJ, 2008, J APPL METEOROL CLIM, V47, P1269, DOI 10.1175/2007JAMC1540.1
   Miles EL, 2006, P NATL ACAD SCI USA, V103, P19616, DOI 10.1073/pnas.0609090103
   Millner A, 2011, GLOBAL ENVIRON CHANG, V21, P209, DOI 10.1016/j.gloenvcha.2010.08.001
   Munoz A. G., 2012, RISK MANAGEMENT CURR, DOI [10.5772/50788, DOI 10.5772/50788]
   National Research Council, 2001, CLIM SERV VIS 1 STEP
   National Research Council, 2012, A national strategy for advancing climate modeling, DOI 10.17226/13430
   Nicklin S., 2012, CLIMATE EXCHANGE
   Ogallo L, 2010, PROCEDIA ENVIRON SCI, V1, P405, DOI 10.1016/j.proenv.2010.09.028
   OGALLO L, 2009, WMO B, V58, P184
   Orlove BS, 2004, B AM METEOROL SOC, V85, P1735, DOI 10.1175/BAMS-85-11-1735
   Patt A, 2005, P NATL ACAD SCI USA, V102, P12623, DOI 10.1073/pnas.0506125102
   Patt AG, 2007, SCIENCE, V318, P49, DOI 10.1126/science.1147909
   Perez F, 2012, ITAL J REMOTE SENS, V44, P181, DOI 10.5721/ItJRS201244114
   Peterson ND, 2010, CLIM DEV, V2, P14, DOI 10.3763/cdev.2010.0033
   Pfaff A, 1999, NATURE, V397, P645, DOI 10.1038/17676
   Power SB, 2007, AUST J AGR RES, V58, P945, DOI 10.1071/AR06196
   Ranger N, 2011, CLIMATIC CHANGE, V104, P139, DOI 10.1007/s10584-010-9979-2
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Redmond KT, 2002, THIRD SYMPOSIUM ON ENVIRONMENTAL APPLICATIONS: FACILITATING THE USE OF ENVIRONMENTAL INFORMATION, P1
   Samimi C, 2012, NAT HAZARD EARTH SYS, V12, P313, DOI 10.5194/nhess-12-313-2012
   Scott DJ, 2011, CLIM RES, V47, P111, DOI 10.3354/cr00952
   Selvaraju R, 2011, CLIM RES, V47, P95, DOI 10.3354/cr00954
   Sen Gupta A, 2011, J ENVIRON MANAGE, V92, P941, DOI 10.1016/j.jenvman.2010.10.054
   Shafer MA, 2008, PHYS GEOGR, V29, P561, DOI 10.2747/0272-3646.29.6.561
   Slingo J, 2011, PHILOS T R SOC A, V369, P4751, DOI 10.1098/rsta.2011.0161
   Smyth I, 2009, DEV PRACT, V19, P799, DOI 10.1080/09614520903027205
   Srinivasan G, 2011, CLIM RES, V47, P5, DOI 10.3354/cr00962
   Stockdale TN, 2010, PROCEDIA ENVIRON SCI, V1, P55, DOI 10.1016/j.proenv.2010.09.006
   Troccoli A, 2010, METEOROL APPL, V17, P251, DOI 10.1002/met.184
   Urich PB, 2009, DEV PRACT, V19, P766, DOI 10.1080/09614520903026991
   Visbeck M, 2008, NAT GEOSCI, V1, P2, DOI 10.1038/ngeo.2007.55
   Vogel C, 2006, CLIM RES, V33, P111, DOI 10.3354/cr033111
   von Storch H., 2011, Z UMWELTPOLIT UMWELT, V34, P1
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Zillman J.W., 2009, WORLD METEOROLOGICAL, V58, P141
NR 126
TC 332
Z9 339
U1 4
U2 67
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-OCT
PY 2014
VL 5
IS 5
BP 587
EP 603
DI 10.1002/wcc.290
PG 17
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AN9AH
UT WOS:000340897100003
PM 25798197
OA Green Published, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Nicoson, C
AF Nicoson, Christie
TI Climate transformation through feminist ethics of care
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Ethics of care; Knowledge production; Puerto Rico;
   Transformation; Feminist peace
ID GLOBAL ENVIRONMENTAL-CHANGE; CHANGE ADAPTATION; PEACE; POLITICS;
   VIOLENCE; INTERSECTIONALITY; RETHINKING; THINKING; SCIENCE; GENDER
AB Aiming to mitigate negative impacts of climate change, climate adaptation policy and practice increasingly engages with nuanced and differentiated impacts of climate change. Existing adaptation approaches and research informing them largely focus on outcomes of climactic events, but lack consideration of power structures shaping these phenomena and experiences of them. From a feminist peace perspective, I posit that tackling intersectional violences of climate change necessitates greater engagement with underlying knowledge. This paper explores how ways of knowing climate change impact ways of living with it: analyzing the ground on which climate action interventions stand and the paths on which they set us. I theorize 'climate transformation ' as processual shifts in ways of knowing a problem and solution toward norms of a feminist peace. Theory is developed abductively, based on original fieldwork in Puerto Rico and drawing on conflict transformation theory and elaborating knowledge production through feminist ethics of care. The model developed here enables analyzing orientations of current situations and change processes in relation to desirable futures. I find that actors involved in peace work and climate action in Puerto Rico foster transformation based on: caring in current relations and experience; caring through change processes affectively and reciprocally; and caring for a vision of the future through prefigurative and historicized imagination. The framework advances academic study and policy development on transformative climate action for tackling historic and intersectional violences to influence and enact particular visions of peace .
C1 [Nicoson, Christie] Lund Univ, Dept Polit Sci, Box 52, S-22100 Lund, Sweden.
   [Nicoson, Christie] Lund Univ, Agenda Grad Sch 2030, Box 52, S-22100 Lund, Sweden.
C3 Lund University; Lund University
RP Nicoson, C (corresponding author), Lund Univ, Dept Polit Sci, Box 52, S-22100 Lund, Sweden.; Nicoson, C (corresponding author), Lund Univ, Agenda Grad Sch 2030, Box 52, S-22100 Lund, Sweden.
EM christie.nicoson@svet.lu.se
RI Nicoson, Christie/KIK-9245-2024
FU Styrelsen for Forskraftstiftelsen Theodor Adelswards minne and Lund
   University's Agenda
FX Funding from Styrelsen for Forskraftstiftelsen Theodor Adelswards minne
   and Lund University's Agenda 2030 Graduate School supported fieldwork in
   Puerto Rico.
CR Ackerly BrookeA. Jacquie True., 2010, Doing Feminist Research in Political and Social Science
   Addams Jane., 1906, Newer Ideals of Peace
   Amorim-Maia AT, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101053
   [Anonymous], 2005, The ethics of care: personal, political, and global
   Atiles-Osoria J., 2014, Rev. Critica de Ciencias Sociais, P131, DOI [10.4000/rccs.5262, DOI 10.4000/RCCS.5262]
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Bee BA, 2015, GEOGR COMPASS, V9, P339, DOI 10.1111/gec3.12218
   Bhambra G. K., 2022, Global Social Challenges Journal, V1, P1, DOI DOI 10.1332/EIEM6688
   Björkdahl A, 2021, ROUTL HANDBK, P40
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bond S, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102734
   Caban PedroA., 2002, CARIBBEAN STUD, V30, P170
   Cadaval Narezo M., 2022, Feminist Methodologies: Experiments, Collaborations and Reflections, P139
   Cockburn C, 2004, SITES OF VIOLENCE: GENDER AND CONFLICT ZONES, P24
   Cohn C, 2020, INT FEM J POLIT, V22, P742, DOI 10.1080/14616742.2020.1843364
   Collins PH, 2017, ETHNIC RACIAL STUD, V40, P1460, DOI 10.1080/01419870.2017.1317827
   Confortini CC, 2017, WHAT'S THE POINT OF INTERNATIONAL RELATIONS?, P83
   Crandall J, 2019, DES CULT, V11, P279, DOI 10.1080/17547075.2019.1673989
   Crawford N.C., 2019, Summary: Pentagon Fuel Use, Climate Change, and the Costs of War
   CRENSHAW K, 1993, STANFORD LAW REVIEW VOL 43, NO 6, JULY 1991, P1241
   Cuomo CJ, 2011, HYPATIA, V26, P690, DOI 10.1111/j.1527-2001.2011.01220.x
   Darwish M., 2021, MEN MASCULINITIES EA, P183, DOI [10.1007/978-3-030-54486-7_8, DOI 10.1007/978-3-030-54486-7_8]
   Dayton B.W., 2009, CONFLICT TRANSFORMAT, P1
   de la Bellacasa MP, 2012, SOCIOL REV, V60, P197, DOI 10.1111/j.1467-954X.2012.02070.x
   de la Bellacasa MariaPuig., 2017, MATTERS CARE SPECULA, V41, DOI DOI 10.1017/S2753906700002096
   Detraz N, 2021, ROUTL HANDBK, P359
   Dickerson C., 2015, NPR Morning 22 June
   Domínguez VR, 2000, CULT ANTHROPOL, V15, P361, DOI 10.1525/can.2000.15.3.361
   Eckstein D., 2019, GLOBAL CLIMATE RISK
   ENLACE, 2014, Transforming a City: People, health, environment, governance
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Fetherston A.B., 2000, INT PEACEKEEPING, V7, P190, DOI DOI 10.1080/13533310008413825
   FitzGerald M, 2020, ETHICS SOC WELF, V14, P248, DOI 10.1080/17496535.2020.1746819
   GALTUNG J, 1969, J PEACE RES, P167
   Garcia-Lopez G.A., 2017, CAPITALISM NATURE SO, V28, P88, DOI DOI 10.1080/10455752.2017.1321026
   Garriga-Lopez A., 2019, Shima, V13, P174, DOI DOI 10.21463/SHIMA.13.2.13
   Gilligan C., 1982, DIFFERENT VOICE PSYC, DOI [10.4159/9780674037618, DOI 10.2307/J.CTVJK2WR9]
   Gram-Hanssen I, 2022, SUSTAIN SCI, V17, P673, DOI 10.1007/s11625-021-00960-9
   Hamington M, 2015, CRIT PHILOS RACE, V3, P79, DOI 10.5325/critphilrace.3.1.0079
   Hammond M, 2021, ENVIRON POLIT, V30, P285, DOI 10.1080/09644016.2021.1880062
   Hankivsky O, 2014, AM POLIT SCI REV, V108, P252, DOI 10.1017/S0003055414000094
   HARAWAY D, 1989, WOMEN STUD INT FORUM, V12, P295, DOI 10.1016/S0277-5395(89)80007-X
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Harding Sandra G., 1986, SCI QUESTION FEMINIS
   Haverkamp J, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105152
   Hickel J, 2020, LANCET PLANET HEALTH, V4, pE399, DOI 10.1016/S2542-5196(20)30196-0
   Hinojosa J., 2018, Puerto Rican exodus: One year since Hurricane Maria
   Ibnouf FO, 2020, GEND DEV SOC CHANG, P1, DOI 10.1007/978-3-030-26195-5
   ICADH, 2017, Justicia Ambiental, Desigualdad y Pobreza en Puerto Rico
   Kappler S, 2019, PEACEBUILDING, V7, P160, DOI 10.1080/21647259.2019.1588456
   Lederach J.P., 2009, N. Routes, V2, P7
   Lee H., 2023, CLIMATE CHANGE 2023, DOI DOI 10.59327/IPCC/AR6-9789291691647
   Llorens Hilda., 2021, Making Livable Worlds: Afro-Puerto Rican Women Building Environmental Justice
   Macgregor S, 2014, HYPATIA, V29, P617, DOI 10.1111/hypa.12065
   MacGregor S, 2009, SOCIOL REV, V57, P124, DOI 10.1111/j.1467-954X.2010.01889.x
   Martinez-Alier J., 2002, The environmentalism of the poor: a study of ecological conflicts and valuation
   Maruska Jennifer Heeg, 2017, Oxford Research Encyclopedia of International Studies
   Matthew RA, 2018, ROUT INT HANDB, P108
   Moosa CS, 2014, HYPATIA, V29, P677, DOI 10.1111/hypa.12085
   Morchain D, 2018, ROUT ADV CLIMATE, P55
   Neeganagwedgin E., 2022, The Palgrave Handbook of Critical Race and Gender, P367
   Nicoson C, 2021, SUSTAIN SCI, V16, P1147, DOI 10.1007/s11625-021-00906-1
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   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
   O'Lear S, 2016, POLIT GEOGR, V52, P4, DOI 10.1016/j.polgeo.2015.01.004
   Ojeda D, 2020, ANTIPODE, V52, P1583, DOI 10.1111/anti.12667
   Parker J., 2010, Interdisciplinarity and climate change: Transforming knowledge and practice for our global future, P205
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pettersen T, 2021, ROUTL HANDBK, P28
   Puerto Rico Climate Change Council (PRCCC), 2022, Puerto Rico's State of the Climate 2014-2021: assessing Puerto Rico's social-ecological vulnerabilities in a changing climate
   Raghuram P, 2019, GENDER PLACE CULT, V26, P613, DOI 10.1080/0966369X.2019.1567471
   Robinson F, 2011, GLOB ETHICS POLIT, P1
   Rodriguez I., 2018, Development Studies Research, V5, P90, DOI [DOI 10.1080/21665095.2018.1486220, 10.1080/21665095.2018.1486220]
   Rouse Irving., 1992, The Tainos: The Rise and Decline of the People who Greeted Colombus
   Sætre AS, 2021, ACAD MANAGE REV, V46, P684, DOI 10.5465/amr.2019.0233
   Santana D.B., 1993, Race, Poverty the Environment, V4, P3
   Santana DeborahBerman., 1998, Revista Geografica, P87
   Seager, 2009, KVINDER KON FORSKNIN, V34, P11, DOI [10.7146/kkf.v0i3-4.27968, DOI 10.7146/KKF.V0I3-4.27968]
   Sealey-Huggins L, 2017, THIRD WORLD Q, V38, P2444, DOI 10.1080/01436597.2017.1368013
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Sultana F, 2022, POLIT GEOGR, V99, DOI 10.1016/j.polgeo.2022.102638
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Tickner AnneB., 2020, International Relations from the Global South: Worlds of Difference, DOI DOI 10.4324/9781315756233
   Timmermans S, 2012, SOCIOL THEOR, V30, P167, DOI 10.1177/0735275112457914
   Tirrell A, 2021, PEACE REV, V33, P370, DOI 10.1080/10402659.2021.1953802
   Torruellas J.R., 2018, Harvard Law Review Forum, V131, P65
   Tronto J. C., 1993, MORAL BOUNDARIES POL
   True J, 2020, ETHICS INT AFF, V34, P85, DOI 10.1017/S0892679420000064
   Tuana N., 2013, RES ACTION POLICY AD, P17, DOI [DOI 10.1007/978-94-007-5518-52, DOI 10.1007/978-94-007-5518-5]
   Unanue I., 2020, Community Psychology in Global Perspective, V6, P22
   Valentin-Mari J., 2012, Economic impact of Jones Act on Puerto Rico's economy
   Väyrynen T, 2021, ROUTL HANDBK, P1
   Vosman F.J., 2020, The ethics of care: The state of the art
   Warren AEC, 2003, GENDER SOC, V17, P664, DOI 10.1177/0891243203256024
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Wibben ATR, 2019, INT POLIT SOCIOL, V13, P86, DOI 10.1093/ips/oly034
   Williams F, 2018, CURR SOCIOL, V66, P547, DOI 10.1177/0011392118765206
NR 99
TC 1
Z9 1
U1 17
U2 24
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD MAY
PY 2024
VL 155
AR 103727
DI 10.1016/j.envsci.2024.103727
EA MAR 2024
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA QS5M4
UT WOS:001222872900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zeng, J
   Tan, ML
   Tew, YL
   Zhang, F
   Wang, T
   Samat, N
   Tangang, F
   Yusop, Z
AF Zeng, Ju
   Tan, Mou Leong
   Tew, Yi Lin
   Zhang, Fei
   Wang, Tao
   Samat, Narimah
   Tangang, Fredolin
   Yusop, Zulkifli
TI Optimization of Open-Access Optical and Radar Satellite Data in Google
   Earth Engine for Oil Palm Mapping in the Muda River Basin, Malaysia
SO AGRICULTURE-BASEL
LA English
DT Article
DE Google Earth Engine; land use; Muda River Basin; oil palm; Malaysia;
   sentinel; Landsat; PALSAR; climate adaptation
ID LAND-COVER CLASSIFICATION; BIG DATA APPLICATIONS; ALOS PALSAR;
   TIME-SERIES; RUBBER PLANTATIONS; INTEGRATING PALSAR; TROPICAL FORESTS;
   L-BAND; CHINA; MAPS
AB Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficult. Based on the Google Earth Engine (GEE), this study aims to evaluate the best combination of open-source optical and microwave satellite data in oil palm mapping by utilizing the C-band Sentinel-1, L-band PALSAR-2, Landsat 8, Sentinel-2, and topographic images, with the Muda River Basin (MRB) as the test site. The results show that the land use land cover maps generated from the combined images have accuracies from 95 to 97%; the best combination goes to Sentinel-1 and Sentinel-2 for the overall classification. Meanwhile, the best combination for oil palm classification is C5 (PALSAR-2 + Landsat 8), with the highest producer accuracy (96%) and consumer accuracy (100%) values. The combination of C-band radar images can improve the classification accuracy of oil palm, but compared with the combination of L-band images, the oil palm area was underestimated. The oil palm area had increased from 2015 to 2020, ranging from 10% to 60% across all combinations. This shows that the selection of optimal images is important for oil palm mapping.
C1 [Zeng, Ju; Tan, Mou Leong; Tew, Yi Lin; Samat, Narimah] Univ Sains Malaysia, Sch Humanities, GeoInformat Unit, Geog Sect, George Town 11800, Malaysia.
   [Zeng, Ju; Wang, Tao] Yuxi Normal Univ, Coll Geog & Land Engn, Yuxi 653100, Peoples R China.
   [Zhang, Fei] Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi 830017, Peoples R China.
   [Tangang, Fredolin] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Earth Sci & Environm, Bangi 43600, Malaysia.
   [Yusop, Zulkifli] Univ Teknol Malaysia UTM, Ctr Environm Sustainabil & Water Secur IPASA, Johor Baharu 81310, Malaysia.
C3 Universiti Sains Malaysia; Yuxi Normal University; Xinjiang University;
   Universiti Kebangsaan Malaysia; Universiti Teknologi Malaysia
RP Tan, ML (corresponding author), Univ Sains Malaysia, Sch Humanities, GeoInformat Unit, Geog Sect, George Town 11800, Malaysia.
EM mouleong@usm.my
RI Tangang, Fredolin/ABA-4058-2020; Zhang, Fei/AAD-6047-2019; Tan, Mou
   Leong/N-4678-2017; Samat, Narimah/A-9579-2011; Zeng, Ju/GRJ-6891-2022
OI Tangang, Fredolin/0000-0002-4919-1800; Zhang, Fei/0000-0002-1194-8513;
   Tan, Mou Leong/0000-0003-3939-0336; Tew, Yi Lin/0000-0002-3334-0955;
   Samat, Narimah/0000-0002-7540-0717; Zeng, Ju/0000-0002-3188-5820;
   Affandy, Nur Azizah/0000-0001-7237-9142
FU Ministry of Higher Education Malaysia [LRGS/1/2020/UKM-USM/01/6/2,
   LRGS/1/2020/UKM/01/6]; Special Basic Cooperative Research Programs of
   Yunnan Provincial Undergraduate Universities' Association
   [202001BA07001-109]
FX This study was supported by the Ministry of Higher Education Malaysia
   under the longterm research grant scheme project 2, grant number
   LRGS/1/2020/UKM-USM/01/6/2, which is under the program of
   LRGS/1/2020/UKM/01/6. This study was supported in part by the Special
   Basic Cooperative Research Programs of Yunnan Provincial Undergraduate
   Universities' Association under grant 202001BA07001-109.
CR Amani M, 2020, IEEE J-STARS, V13, P5326, DOI 10.1109/JSTARS.2020.3021052
   Bai Y, 2015, REMOTE SENS-BASEL, V7, P10589, DOI 10.3390/rs70810589
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Carrasco L, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11030288
   Chen BQ, 2017, ISPRS J PHOTOGRAMM, V131, P104, DOI 10.1016/j.isprsjprs.2017.07.011
   Chen BQ, 2016, INT J APPL EARTH OBS, V50, P117, DOI 10.1016/j.jag.2016.03.011
   Cheng YQ, 2018, INT J REMOTE SENS, V39, P5891, DOI 10.1080/01431161.2018.1492182
   Cheng YQ, 2017, INT J REMOTE SENS, V38, P4022, DOI 10.1080/01431161.2017.1312622
   Cheng YQ, 2016, INT J REMOTE SENS, V37, P5431, DOI 10.1080/01431161.2016.1241448
   Chong KL, 2017, GEO-SPAT INF SCI, V20, P184, DOI 10.1080/10095020.2017.1337317
   Coltin B, 2016, INT J REMOTE SENS, V37, P993, DOI 10.1080/01431161.2016.1145366
   Danylo O, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00867-1
   De Alban JDT, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020306
   de Sousa C, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227438
   Descals A, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11212590
   Dong JW, 2016, REMOTE SENS ENVIRON, V185, P142, DOI 10.1016/j.rse.2016.02.016
   Dong JW, 2012, ISPRS J PHOTOGRAMM, V74, P20, DOI 10.1016/j.isprsjprs.2012.07.004
   Dong XC, 2015, IEEE J-STARS, V8, P3692, DOI 10.1109/JSTARS.2015.2400439
   FAO. Food and Agriculture Organization of the United Nations, About Us
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Forkuor G, 2018, GISCI REMOTE SENS, V55, P331, DOI 10.1080/15481603.2017.1370169
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Gutiérrez-Véléz VH, 2013, REMOTE SENS ENVIRON, V129, P154, DOI 10.1016/j.rse.2012.10.033
   Gyamfi-Ampadu E, 2020, REMOTE SENS APPL, V18, DOI 10.1016/j.rsase.2020.100302
   HARALICK RM, 1973, IEEE T SYST MAN CYB, VSMC3, P610, DOI 10.1109/TSMC.1973.4309314
   Jin YH, 2018, INT J REMOTE SENS, V39, P8703, DOI 10.1080/01431161.2018.1490976
   Johnson BA, 2016, APPL GEOGR, V67, P140, DOI 10.1016/j.apgeog.2015.12.006
   Ju Z, 2021, GEOGRAFIA-MALAYSIA, V17, P30, DOI 10.17576/geo-2021-1703-03
   Kang CS, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101072
   Kou WL, 2015, REMOTE SENS-BASEL, V7, P1048, DOI 10.3390/rs70101048
   Lee Janice Ser Huay, 2016, Remote Sensing Applications: Society and Environment, V4, P219, DOI 10.1016/j.rsase.2016.11.003
   Li GY, 2012, ISPRS J PHOTOGRAMM, V70, P26, DOI 10.1016/j.isprsjprs.2012.03.010
   Li L, 2015, REMOTE SENS-BASEL, V7, P1206, DOI 10.3390/rs70201206
   Li WH, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040280
   Miettinen J, 2019, GEOCARTO INT, V34, P443, DOI 10.1080/10106049.2017.1408700
   Miettinen J, 2011, REMOTE SENS LETT, V2, P299, DOI 10.1080/01431161.2010.520345
   MPOB Malaysian Palm Oil Board (MPOB), US
   Muhadi NA, 2019, INT J IMAGE DATA FUS, V10, P232, DOI 10.1080/19479832.2018.1504826
   Najib NEM, 2020, FORESTS, V11, DOI 10.3390/f11080858
   Nomura K, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10111693
   Nurmasari Y, 2021, INT J REMOTE SENSING, V18, P1, DOI [10.30536/j.ijreses.2021.v18.a3537, DOI 10.30536/J.IJRESES.2021.V18.A3537]
   Olofsson P, 2014, REMOTE SENS ENVIRON, V148, P42, DOI 10.1016/j.rse.2014.02.015
   Oon A, 2019, REMOTE SENS APPL, V13, P183, DOI 10.1016/j.rsase.2018.11.002
   Phan TN, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152411
   Pickens AH, 2020, REMOTE SENS ENVIRON, V243, DOI 10.1016/j.rse.2020.111792
   Poortinga A, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11070831
   Praticò S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040586
   Puttinaovarat S., 2018, Int. J. Adv. Sci., Eng. Inform. Technol., V8, P720
   Rakwatin P, 2012, INT J REMOTE SENS, V33, P7727, DOI 10.1080/01431161.2012.701349
   Rembold F, 2019, AGR SYST, V168, P247, DOI 10.1016/j.agsy.2018.07.002
   Rosenqvist A, 2007, IEEE T GEOSCI REMOTE, V45, P3307, DOI 10.1109/TGRS.2007.901027
   Roy DP, 2014, REMOTE SENS ENVIRON, V145, P154, DOI 10.1016/j.rse.2014.02.001
   Sarzynski T, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12071220
   Shafri HZM, 2011, INT J REMOTE SENS, V32, P7111, DOI 10.1080/01431161.2010.519003
   Shaharum NSN, 2020, REMOTE SENS APPL, V17, DOI 10.1016/j.rsase.2020.100287
   Shimada M, 2014, REMOTE SENS ENVIRON, V155, P13, DOI 10.1016/j.rse.2014.04.014
   Tamiminia H, 2020, ISPRS J PHOTOGRAMM, V164, P152, DOI 10.1016/j.isprsjprs.2020.04.001
   Tan ML, 2021, J HYDROL-REG STUD, V36, DOI 10.1016/j.ejrh.2021.100837
   Teng KC, 2015, IEEE T GEOSCI REMOTE, V53, P3250, DOI 10.1109/TGRS.2014.2372796
   Tew YL, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11070378
   Tew YL, 2022, SAINS MALAYS, V51, P369, DOI 10.17576/jsm-2022-5102-04
   Torbick N, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8030236
   van der Meer FD, 2014, REMOTE SENS ENVIRON, V148, P124, DOI 10.1016/j.rse.2014.03.022
   Wulder MA, 2006, INT J REMOTE SENS, V27, P663, DOI 10.1080/01431160500185284
   Xu YD, 2020, EARTH SYST SCI DATA, V12, P847, DOI 10.5194/essd-12-847-2020
NR 65
TC 4
Z9 4
U1 1
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD SEP
PY 2022
VL 12
IS 9
AR 1435
DI 10.3390/agriculture12091435
PG 19
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 4S4SQ
UT WOS:000857433000001
OA gold
DA 2025-01-10
ER

PT J
AU Tiller, RG
   Ross, AD
   Nyman, E
AF Tiller, Rachel Gjelsvik
   Ross, Ashley D.
   Nyman, Elizabeth
TI Social capital and institutional complexity in Svalbard: the case of
   avalanche disaster management
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Climate adaptation; Emergency management; Disaster resilience; Artic;
   Avalanches; Svalbard
ID COMMUNITY RESILIENCE; STRATEGY
AB Purpose Resilience can be understood as the ability of communities to adapt to disturbances in a way that reduces chronic vulnerability and promotes growth. Disaster scholars assert that resilience is developed through a set of adaptive capacities across multiple domains, including society, the economy, the built and natural environments, and sociopolitical institutions. These adaptive capacities have been thought to be networked, but little is known about how they are connected. The authors explore how institutional capacity and social capital intersect to influence change adaptation, using a case from the Artic: Longyearbyen in the Svalbard archipelago. Design/methodology/approach The authors use case study methods that integrate original interviews of Longyearbyen residents with news articles and public documents to analyze emergent themes related to institutional capacity, social capital and disaster risk reduction. Findings Analyses reveal that implementation gaps in hazard and disaster programs and policies, coupled with high turnover of staff in key positions, have created accountability issues indicative of low institutional capacity and weak social capital between the public and government. Additionally, high turnover of the population of the community, within the context of the legacy as a mining company town, is accompanied by social divisions and low trust between diverse cultural groups in the community. This lack of social capital provides little support for institutional capacity to effectively mitigate risk posed by climate change. Originality/value This study illuminates institutional capacity building needs directly related to disaster resilience for cases of complex institutional arrangements and developing democracy.
C1 [Tiller, Rachel Gjelsvik] SINTEF Ocean, Trondheim, Norway.
   [Ross, Ashley D.; Nyman, Elizabeth] Texas A&M Univ, Galveston, TX 77554 USA.
C3 SINTEF; Texas A&M University System
RP Ross, AD (corresponding author), Texas A&M Univ, Galveston, TX 77554 USA.
EM ashleydross@tamug.edu
RI ; Tiller, Rachel Gjelsvik/F-7446-2015
OI Ross, Ashley/0000-0002-8415-3383; Nyman, Elizabeth/0000-0001-6622-5710;
   Tiller, Rachel Gjelsvik/0000-0002-2505-9194
FU Research Council of Norway [257628]
FX Data collection was undertaken as part of the REGIMES project, funded by
   the Research Council of Norway, under grant number 257628. The objective
   is to assess the consequences geopolitically and socially of changes to
   ecosystem goods and services under climate change in Svalbard.
   https://regimes.w.uib.no
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahrens J., 2006, J CONTING CRISIS MAN, V14, P207, DOI [10.1111/j.1468-5973.2006.00497.x, DOI 10.1111/J.1468-5973.2006.00497.X, DOI 10.1111/J.1468-5973.2006.00497]
   Aldrich D.P., 2012, Building resilience: Social capital in Post-Disaster Recovery
   [Anonymous], 2012, BUILDING RESILIENCE
   Artic Climate Impact Assessment, 2004, IMPACTS WARMING ARCT
   Barstein G., 2016, SKREDET RAPPORT 1992
   BENBASAT I, 1987, MIS QUART, V11, P369, DOI 10.2307/248684
   Berg R., 2012, Nordlit, V16, P183, DOI [10.7557/13.2312, DOI 10.7557/13.2312]
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Collymore J, 2011, ENVIRON HAZARDS-UK, V10, P6, DOI 10.3763/ehaz.2011.0002
   Comfort L., 1999, Glob Environ Chang Part B Environ Hazard, V1, P39, DOI [DOI 10.3763/EHAZ.1999.0105, 10.1016/S1464-2867(99)00005-4]
   Comfort LK, 2006, NAT HAZARDS, V39, P309, DOI 10.1007/s11069-006-0030-x
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Czarniawska B., 2004, NARRATIVES SOCIAL SC
   Dormaenen C., 2007, THESIS U BERGEN
   Dynes RR., 2005, Community social capital as the primary basis for resilience
   Eckerstorfer M., 2013, THESIS U OSLO OSLO
   Eckstein H., 2000, CASE STUDY METHOD, P119, DOI [10.4135/9780857024367.d11, DOI 10.4135/9780857024367.D11]
   Elliott J., 2005, Using narrative in social research: Qualitative and quantitative approaches
   Froislie P.C., 2013, THESIS NORGES TEKNIS
   Grefalda LB, 2020, ENVIRON RES, V186, DOI 10.1016/j.envres.2020.109584
   Grindle MS, 2004, GOVERNANCE, V17, P525, DOI 10.1111/j.0952-1895.2004.00256.x
   Grydehoj A, 2014, GLOB CHANG PEACE SEC, V26, P41, DOI 10.1080/14781158.2014.856290
   Grydehoj A, 2012, ISL STUD J, V7, P99
   Hansen J, 2010, REV GEOPHYS, V48, DOI 10.1029/2010RG000345
   Hansen K.S., 2012, THESIS U OSLO OSLO
   Hanssen-Bauer I., 2019, CLIMATE SVALBARD 210, P208
   Hestnes E., 2016, P INT SNOW SCI WORKS, P363
   Jensen A.-M., 2009, ASIA INSIGHTS GENDER, V6, P13
   Jensen O, 2020, Arctic Review on Law and Politics, V11, P82, DOI 10.23865/arctic.v11.2348
   Kapucu N, 2006, AM REV PUBLIC ADM, V36, P207, DOI 10.1177/0275074005280605
   Kendra J., 2007, Understanding and Responding to Terrorism, V19, P324
   Kooiman J., 2003, Governing as Governance, DOI DOI 10.4135/9781446215012
   Krishna A., 2008, The handbook of social capital
   Landauer M, 2019, CLIM RISK MANAGE POL, P425, DOI 10.1007/978-3-319-72026-5_18
   Lovdatano, 2012, FOR201212181293 LOVD
   Manyena S. B., 2006, Disaster Prevention & Management, V15, P810, DOI 10.1108/09653560610712757
   Masterson J. H., 2014, Planning for community resilience: A handbook for reducing vulnerability to disasters
   Mikalsen K.H., 2009, BIG COAL RUSH IND SW
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Norsk Polarhistorie, 2017, LONG
   Nowell LS, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917733847
   Nyman E, 2020, MAR POLICY, V113, DOI 10.1016/j.marpol.2019.103742
   Papadopoulos Y, 2007, EUR LAW J, V13, P469, DOI 10.1111/j.1468-0386.2007.00379.x
   Perry R.W., 2007, Handbook of Disaster Research Internet, P1, DOI [DOI 10.1007/978-0-387-32353-41, DOI 10.1007/978-0-387-32353-4_1]
   Platje J, 2008, TECHNOL ECON DEV ECO, V14, P144, DOI 10.3846/1392-8619.2008.14.144-150
   Putra DI, 2019, J DISASTER RES, V14, P173
   Robison LJ, 2003, AM J AGR ECON, V85, P1187, DOI 10.1111/j.0092-5853.2003.00528.x
   Ross A. D., 2013, LOCAL DISASTER RESIL, DOI DOI 10.4324/9780203551912
   Rossi C.R., 2016, WASHINGTON U GLOBAL, V15, P93
   SANDELOWSKI M, 1995, RES NURS HEALTH, V18, P179, DOI 10.1002/nur.4770180211
   Solberg B.H., 2007, THESIS U OSLO OSLO
   Stake R.E., 1978, EDUCATIONALRESEARCHE, V7, P5, DOI [https://doi.org/10.3102/0013189X007002005, DOI 10.3102/0013189X007002005, 10.3102/0013189X007002005]
   Stevens C., 2013, THESIS U MASSACHUSET
   Svalbard Treaty, 1920, TREAT NORW US AM DEN
   Tadele F, 2009, DISASTER PREV MANAG, V18, P317, DOI 10.1108/09653560910965664
   Tiller R, 2019, CLIMATE CHANGE AND OCEAN GOVERNANCE: POLITICS AND POLICY FOR THREATENED SEAS, P184
   Tiller RG, 2009, OCEAN DEV INT LAW, V40, P309, DOI 10.1080/00908320903076862
   Titz A, 2018, SOCIETIES, V8, DOI 10.3390/soc8030071
   UNDRR, 2004, LIV RISK GLOB REV DI, V1
   Uslaner EM., 2008, HDB SOCIAL CAPITAL, P101
   Utnes, 1999, POLITISK ADM STRUKTU
   WEIL FD, 1994, CONTEMP SOCIOL, V23, P373, DOI 10.2307/2075319
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
   Ylvisaker, 2016, KREVER ERSTATNING
   Ylvisaker, 2016, SAKSOKER SYSSELMANNE
   Ylvisaker, 2016, INGEN STRAFFES ETTER
   2009, AM COMP ENVIRON POLI, P1
NR 68
TC 3
Z9 3
U1 3
U2 16
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.
PD AUG 9
PY 2022
VL 31
IS 4
BP 425
EP 439
DI 10.1108/DPM-05-2021-0168
EA APR 2022
PG 15
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 3N7RK
UT WOS:000779355200001
DA 2025-01-10
ER

PT J
AU Rodrigues, MF
   Vibranovski, MD
   Cogni, R
AF Rodrigues, Murillo F.
   Vibranovski, Maria D.
   Cogni, Rodrigo
TI Clinal and seasonal changes are correlated in <i>Drosophila
   melanogaster</i> natural populations
SO EVOLUTION
LA English
DT Article
DE Clinal variation; genomics; natural selection; population genetics;
   seasonal variation
ID GENOME-WIDE PATTERNS; LIFE-HISTORY TRAITS; LATITUDINAL CLINES;
   GENETIC-VARIATION; NORTH-AMERICAN; REPRODUCTIVE DIAPAUSE;
   GEOGRAPHIC-VARIATION; EUROPEAN ADMIXTURE; ADAPTIVE EVOLUTION; LOCAL
   ADAPTATION
AB Spatial and seasonal variations in the environment are ubiquitous. Environmental heterogeneity can affect natural populations and lead to covariation between environment and allele frequencies. Drosophila melanogaster is known to harbor polymorphisms that change both with latitude and seasons. Identifying the role of selection in driving these changes is not trivial, because nonadaptive processes can cause similar patterns. Given the environment changes in similar ways across seasons and along the latitudinal gradient, one promising approach may be to look for parallelism between clinal and seasonal changes. Here, we test whether there is a genome-wide correlation between clinal and seasonal changes, and whether the pattern is consistent with selection. Allele frequency estimates were obtained from pooled samples from seven different locations along the east coast of the United States, and across seasons within Pennsylvania. We show that there is a genome-wide correlation between clinal and seasonal variations, which cannot be explained by linked selection alone. This pattern is stronger in genomic regions with higher functional content, consistent with natural selection. We derive a way to biologically interpret these correlations and show that around 3.7% of the common, autosomal variants could be under parallel seasonal and spatial selection. Our results highlight the contribution of natural selection in driving fluctuations in allele frequencies in natural fly populations and point to a shared genomic basis to climate adaptation that happens over space and time in D. melanogaster.
C1 [Rodrigues, Murillo F.; Vibranovski, Maria D.] Univ Sao Paulo, Inst Biosci, Dept Genet & Evolutionary Biol, BR-05508090 Sao Paulo, Brazil.
   [Rodrigues, Murillo F.] Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA.
   [Cogni, Rodrigo] Univ Sao Paulo, Inst Biosci, Dept Ecol, BR-05508090 Sao Paulo, Brazil.
C3 Universidade de Sao Paulo; University of Oregon; Universidade de Sao
   Paulo
RP Rodrigues, MF (corresponding author), Univ Sao Paulo, Inst Biosci, Dept Genet & Evolutionary Biol, BR-05508090 Sao Paulo, Brazil.; Rodrigues, MF (corresponding author), Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA.
EM murillo.rodrigues@alumni.usp.br
RI Rodrigues, Murillo/AAS-5096-2021; Vibranovski, Maria/C-5599-2013; Cogni,
   Rodrigo/C-3962-2016
OI Rodrigues, Murillo/0000-0001-7508-1384; Vibranovski,
   Maria/0000-0001-8313-9726; Cogni, Rodrigo/0000-0001-9907-9297
FU Sao Paulo Research Foundation (FAPESP) [13/25991-0, 17/02206-6,
   15/20844-4, 16/01354-9, 17/06374-0]; CNPq [307015/2015-7,
   307447/2018-9]; Royal Society
FX We would like to thank all the members of the Cogni Lab for input and
   support throughout the development of this work. We thank D. Meyer, P.
   Schmidt, R. Azevedo, P. Ralph, and three anonymous reviewers for helpful
   comments on earlier versions of this manuscript. Funding for this work
   was provided by Sao Paulo Research Foundation (FAPESP) (13/25991-0 and
   17/02206-6 to RC; 15/20844-4 to MDV; and 16/013549 and 17/06374-0 to
   MFR), CNPq (307015/2015-7 and 307447/2018-9 to RC), and a Newton
   Advanced Fellowship from the Royal Society to RC.
CR Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   Anderson AR, 2005, MOL ECOL, V14, P851, DOI 10.1111/j.1365-294X.2005.02445.x
   Andolfatto P, 2005, NATURE, V437, P1149, DOI 10.1038/nature04107
   Arthur AL, 2008, J EVOLUTION BIOL, V21, P1470, DOI 10.1111/j.1420-9101.2008.01617.x
   Ashburner M, 2000, NAT GENET, V25, P25, DOI 10.1038/75556
   Bansal Vikas, 2016, Bioinformatics, V32, P3213
   BARTON NH, 1983, EVOLUTION, V37, P454, DOI 10.1111/j.1558-5646.1983.tb05563.x
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   Baxter I, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001193
   Behrman EL, 2015, J EVOLUTION BIOL, V28, P1691, DOI 10.1111/jeb.12690
   Behrman EL, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2017.2599
   Bergland AO, 2016, MOL ECOL, V25, P1157, DOI 10.1111/mec.13455
   Bergland AO, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004775
   Buffalo V, 2020, P NATL ACAD SCI USA, V117, P20672, DOI 10.1073/pnas.1919039117
   Campitelli BE, 2013, MOL ECOL, V22, P552, DOI 10.1111/mec.12057
   Caracristi G, 2003, MOL BIOL EVOL, V20, P792, DOI 10.1093/molbev/msg091
   Cardini A, 2007, J BIOGEOGR, V34, P1663, DOI 10.1111/j.1365-2699.2007.01731.x
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   Cogni R, 2017, SCI REP-UK, V7, DOI 10.1038/srep42766
   Cogni R, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.2688
   Cogni R, 2014, EVOLUTION, V68, P538, DOI 10.1111/evo.12291
   Corbett-Detig RB, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003056
   DAVID JR, 1985, GENET SEL EVOL, V17, P211, DOI 10.1186/1297-9686-17-2-211
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   De Jong G, 2003, J GENET, V82, P207, DOI 10.1007/BF02715819
   Dionne M, 2007, EVOLUTION, V61, P2154, DOI 10.1111/j.1558-5646.2007.00178.x
   Dobzhansky T, 1943, GENETICS, V28, P162
   Duchen P, 2013, GENETICS, V193, P291, DOI 10.1534/genetics.112.145912
   Endler J.A., 1977, Monographs in Population Biology, pi
   EWING EP, 1979, AM NAT, V114, P197, DOI 10.1086/283468
   Excoffier L, 2009, ANNU REV ECOL EVOL S, V40, P481, DOI 10.1146/annurev.ecolsys.39.110707.173414
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Feder AF, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048588
   Flatt T, 2016, MOL ECOL, V25, P1023, DOI 10.1111/mec.13534
   GARCIA-VAZQUEZ E, 1988, Genetica (Dordrecht), V78, P91, DOI 10.1007/BF00058839
   Gramates LS, 2017, NUCLEIC ACIDS RES, V45, pD663, DOI 10.1093/nar/gkw1016
   Hancock AM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.0040032
   Hivert V, 2018, GENETICS, V210, P315, DOI 10.1534/genetics.118.300900
   Hoffmann AA, 2003, J EVOLUTION BIOL, V16, P614, DOI 10.1046/j.1420-9101.2003.00561.x
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Kapun M, 2019, MOL ECOL, V28, P1263, DOI 10.1111/mec.14871
   Kapun M, 2016, MOL BIOL EVOL, V33, P1317, DOI 10.1093/molbev/msw016
   Kapun M, 2014, MOL ECOL, V23, P1813, DOI 10.1111/mec.12594
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller A, 2007, CURR BIOL, V17, pR77, DOI 10.1016/j.cub.2006.12.031
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   Kofler R, 2012, BIOINFORMATICS, V28, P2084, DOI 10.1093/bioinformatics/bts315
   Kofler R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0015925
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Kooyers NJ, 2015, NEW PHYTOL, V206, P152, DOI 10.1111/nph.13153
   Krimbas CB., 1992, Drosophila inversion polymorphism
   Lavington E, 2014, MOL BIOL EVOL, V31, P2032, DOI 10.1093/molbev/msu146
   LEVENE H, 1953, AM NAT, V87, P331, DOI 10.1086/281792
   Li HP, 2006, PLOS GENET, V2, P1580, DOI 10.1371/journal.pgen.0020166
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Lynch M, 2014, GENOME BIOL EVOL, V6, P1210, DOI 10.1093/gbe/evu085
   Machado HE., 2019, BROAD GEOGRAPHIC SAM, DOI [10.1101/337543, DOI 10.1101/337543]
   Machado HE, 2016, MOL ECOL, V25, P723, DOI 10.1111/mec.13446
   Mackay TFC, 2012, NATURE, V482, P173, DOI 10.1038/nature10811
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   METTLER LE, 1977, GENETICS, V87, P169
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   OAKESHOTT JG, 1982, EVOLUTION, V36, P86, DOI 10.1111/j.1558-5646.1982.tb05013.x
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Pavlidis P, 2012, MOL BIOL EVOL, V29, P3237, DOI 10.1093/molbev/mss136
   Pool JE, 2015, MOL BIOL EVOL, V32, P3236, DOI 10.1093/molbev/msv194
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rajpurohit S, 2017, J EVOLUTION BIOL, V30, P66, DOI 10.1111/jeb.12988
   Reinhardt JA, 2014, GENETICS, V197, P361, DOI 10.1534/genetics.114.161463
   RHOMBERG LR, 1989, GENETICA, V78, P73, DOI 10.1007/BF00058677
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   Rudman SM, 2019, P NATL ACAD SCI USA, V116, P20025, DOI 10.1073/pnas.1907787116
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schmidt PS, 2006, EVOLUTION, V60, P1602, DOI 10.1111/j.0014-3820.2006.tb00505.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Schmidt PS, 2000, P NATL ACAD SCI USA, V97, P10861, DOI 10.1073/pnas.190338897
   Schrider DR, 2016, MOL BIOL EVOL, V33, P1308, DOI 10.1093/molbev/msw014
   Sezgin E, 2004, GENETICS, V168, P923, DOI 10.1534/genetics.104.027649
   SINGH RS, 1987, GENETICS, V117, P255
   SINGH RS, 1987, GENETICS, V115, P313
   Smith JM, 2007, GENET RES, V89, P391, DOI [10.1017/S0016672308009579, 10.1017/S0016672300014634]
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   Vasemägi A, 2006, GENETICS, V173, P2411, DOI 10.1534/genetics.106.059881
   Verrelli BC, 2001, GENETICS, V157, P1649
   VIGUE CL, 1973, BIOCHEM GENET, V9, P213, DOI 10.1007/BF00485735
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wittmann MJ, 2017, P NATL ACAD SCI USA, V114, pE9932, DOI 10.1073/pnas.1702994114
   Wright S, 1943, GENETICS, V28, P114
   WRIGHT S, 1946, GENETICS, V31, P125
   Yukilevich R, 2008, EVOLUTION, V62, P2807, DOI 10.1111/j.1558-5646.2008.00488.x
   Yukilevich R, 2010, GENETICS, V186, P219, DOI 10.1534/genetics.110.117366
   Zuther E, 2012, PLANT CELL ENVIRON, V35, P1860, DOI 10.1111/j.1365-3040.2012.02522.x
NR 95
TC 7
Z9 7
U1 0
U2 12
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0014-3820
EI 1558-5646
J9 EVOLUTION
JI Evolution
PD AUG
PY 2021
VL 75
IS 8
BP 2042
EP 2054
DI 10.1111/evo.14300
EA JUL 2021
PG 13
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA UA2DK
UT WOS:000670881300001
PM 34184262
OA Green Published
DA 2025-01-10
ER

PT J
AU Rathod, PV
   Puguan, JMC
   Kim, H
AF Rathod, Pramod V.
   Puguan, John Marc C.
   Kim, Hern
TI Self-bleaching dual responsive poly(ionic liquid) with optical
   bistability toward climate-adaptable solar modulation
SO CHEMICAL ENGINEERING JOURNAL
LA English
DT Article
DE Thermo-and electro-chromism; All-in-one device; Smart window; Memory
   effect; Poly(ionic liquid)
ID SMART WINDOWS; POLYMERS; PERFORMANCE; BEHAVIOR; STATE
AB In the development of smart windows, functional polymer materials play a crucial role, which can provide a more comfortable indoor environment for people to enjoy a better lifestyle. However, many of the implied smart windows that have been studied to date respond to only one stimulus, but studies on dual-responsive smart windows have been increasing. The growing interest in multi-responsive smart windows is due to the many opportunities in terms of utility and activity that they offer. Herein, our group has adopted a strategy to combine the thermo- and electro-chromic as well as electrolyte properties in one single molecule. Dual-responsive poly (ionic liquid) (PIL) 6 based electrolyte was synthesized via radical polymerization of poly(ethylene glycol) diacrylate (PEGDA) with N-isopropylacrylamide (NIPAM) with viologen based electroactive monomer utilizing AIBN as an initiator in DMSO. One single molecule (all-in-one) single-layer device consisting of ITO/smart PIL/ ITO was assembled on a glass substrate, that can enhance its optical efficiency and characteristics of phase shift. The proposed electrochromic device exhibits tunable transparency and electrochromic properties due to the thermo-responsive property of PNIPAM and the bistable electrochromic property of a viologen-based electroactive monomer, respectively. Consequently, the acquired dual-responsive properties of smart PIL 6 for the development of bistability smart windows can not only control solar energy input but can also provide a more comfortable color tone to boost people's feelings and emotions in indoor environments.
C1 [Rathod, Pramod V.; Puguan, John Marc C.; Kim, Hern] Myongji Univ, Environm Waste Recycle Inst, Dept Energy Sci & Technol, Yongin 17058, Gyeonggi Do, South Korea.
C3 Myongji University
RP Puguan, JMC; Kim, H (corresponding author), Myongji Univ, Environm Waste Recycle Inst, Dept Energy Sci & Technol, Yongin 17058, Gyeonggi Do, South Korea.
EM jmpuguan@gmail.com; hernkim@mju.ac.kr
FU National Research Foundation (NRF) - Ministry of Education
   [2020R1A6A1A03038817, 2019R1F1A1058732]; Ministry of Science and ICT
   (MSIT) [2020R1A2C2101759]; Korea Institute of Technology Evaluation and
   Planning (KETEP) - Ministry of Trade, Industry & Energy (MOTIE),
   Republic of Korea [20194010201750]
FX This study was supported by Basic Science Research Program through the
   National Research Foundation (NRF) funded by the Ministry of Education
   (2020R1A6A1A03038817; 2019R1F1A1058732) and the Ministry of Science and
   ICT (MSIT) (2020R1A2C2101759) , and by the Korea Institute of Technology
   Evaluation and Planning (KETEP) funded by the Ministry of Trade,
   Industry & Energy (MOTIE No. 20194010201750) , Republic of Korea.
CR Agnihotri P, 2020, SOFT MATTER, V16, P7845, DOI 10.1039/d0sm01187h
   Beaujuge PM, 2010, CHEM REV, V110, P268, DOI 10.1021/cr900129a
   Chang MJ, 2020, J MATER CHEM C, V8, P16129, DOI 10.1039/d0tc03680c
   Chen F, 2017, CHEM COMMUN, V53, P1595, DOI 10.1039/c6cc08924k
   Chen F, 2016, POLYM CHEM-UK, V7, P1330, DOI 10.1039/c5py01927c
   Corrêa CM, 2018, J ELECTROANAL CHEM, V819, P365, DOI 10.1016/j.jelechem.2017.11.016
   Ding JJ, 2019, J MATER CHEM A, V7, P23337, DOI 10.1039/c9ta01724k
   Falireas PG, 2021, POLYM CHEM-UK, V12, P277, DOI 10.1039/d0py01515f
   Granqvist CG, 2009, SOL ENERG MAT SOL C, V93, P2032, DOI 10.1016/j.solmat.2009.02.026
   He JZ, 2017, ACS APPL MATER INTER, V9, P34122, DOI 10.1021/acsami.7b09140
   Hu CW, 2017, CHEM COMMUN, V53, P3242, DOI 10.1039/c7cc00077d
   Janoschka T, 2015, POLYM CHEM-UK, V6, P7801, DOI 10.1039/c5py01602a
   Jong K, 2017, COLLOID POLYM SCI, V295, P307, DOI 10.1007/s00396-016-4009-1
   Jordao N, 2014, CHEM-EUR J, V20, P3982, DOI 10.1002/chem.201304451
   Kang MM, 2019, CHEM ENG J, V375, DOI 10.1016/j.cej.2019.121994
   Kavanagh A, 2013, ACS APPL MATER INTER, V5, P55, DOI 10.1021/am3018948
   Ke YJ, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201800113
   Khandelwal H, 2017, ADV ENERGY MATER, V7, DOI 10.1002/aenm.201602209
   Kim D, 2018, ACS APPL MATER INTER, V10, P22711, DOI 10.1021/acsami.8b05818
   Kim H, 2017, NPG ASIA MATER, V9, DOI 10.1038/am.2017.168
   Kim Y, 2018, ENERG ENVIRON SCI, V11, P2124, DOI 10.1039/c8ee00080h
   Ko CH, 2020, MACROMOLECULES, V53, P6816, DOI 10.1021/acs.macromol.0c01256
   Lee HJ, 2015, ACTA BIOMATER, V14, P43, DOI 10.1016/j.actbio.2014.12.007
   Lee SJ, 2019, ACS SUSTAIN CHEM ENG, V7, P7111, DOI 10.1021/acssuschemeng.9b00052
   Li F, 2020, J MATER CHEM C, V8, P10031, DOI 10.1039/d0tc00250j
   Li KM, 2020, ACS APPL MATER INTER, V12, P42193, DOI 10.1021/acsami.0c12710
   Li KM, 2019, ACS SUSTAIN CHEM ENG, V7, P15036, DOI 10.1021/acssuschemeng.9b03578
   Li XH, 2019, JOULE, V3, P290, DOI 10.1016/j.joule.2018.10.019
   Liang X, 2018, J MATER CHEM C, V6, P7054, DOI 10.1039/c8tc01274a
   López-Pestaña JM, 2004, MICROPOR MESOPOR MAT, V67, P87, DOI 10.1016/j.micromeso.2003.10.008
   Lv XJ, 2020, CHEM ENG J, V386, DOI 10.1016/j.cej.2019.123939
   Madasamy K, 2019, J MATER CHEM C, V7, P4622, DOI 10.1039/c9tc00416e
   Matsumoto K, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04810-8
   Mirzaei A, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9091775
   Nam J, 2018, POLYM CHEM-UK, V9, P3662, DOI 10.1039/c8py00591e
   Ndaya D, 2020, POLYM CHEM-UK, V11, P5937, DOI 10.1039/d0py00749h
   Pan JJ, 2020, CHEM ENG J, V384, DOI 10.1016/j.cej.2019.123376
   Pande GK, 2020, CHEM ENG J, V393, DOI 10.1016/j.cej.2020.124690
   Park C, 2015, CHEM SCI, V6, P596, DOI 10.1039/c4sc01912a
   Puguan JMC, 2018, SOL ENERG MAT SOL C, V188, P210, DOI 10.1016/j.solmat.2018.09.009
   Shi YD, 2020, ACS APPL MATER INTER, V12, P32658, DOI 10.1021/acsami.0c06786
   Shin H, 2016, ENERG ENVIRON SCI, V9, P117, DOI 10.1039/c5ee03160e
   Tong ZQ, 2018, NANOSCALE HORIZ, V3, P261, DOI 10.1039/c8nh00016f
   Torres-Pierna H, 2020, MATER HORIZ, V7, P2749, DOI 10.1039/d0mh01073a
   Wang L, 2018, CHEM SOC REV, V47, P1044, DOI 10.1039/c7cs00630f
   Wang M, 2019, ADV ENERGY MATER, V9, DOI 10.1002/aenm.201900433
   Wang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03827-3
   Wang YY, 2019, NAT MATER, V18, P1335, DOI 10.1038/s41563-019-0471-8
   Wu MC, 2018, ACS APPL MATER INTER, V10, P39819, DOI 10.1021/acsami.8b15574
   Xia LW, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3226
   Xu F, 2019, ACS APPL MATER INTER, V11, P4712, DOI 10.1021/acsami.8b20794
   Yen HJ, 2017, MACROMOL RAPID COMM, V38, DOI 10.1002/marc.201600715
   Zeng W, 2020, CRYSTENGCOMM, V22, P851, DOI 10.1039/c9ce01655d
   Zhang H, 2020, CHEM ENG J, V399, DOI 10.1016/j.cej.2020.125075
   Zhang YX, 2019, J COLLOID INTERF SCI, V535, P499, DOI 10.1016/j.jcis.2018.10.022
   Zhou Y, 2020, JOULE, V4, P2458, DOI 10.1016/j.joule.2020.09.001
   Zhou Y, 2015, J MATER CHEM A, V3, P1121, DOI 10.1039/c4ta05035e
NR 57
TC 42
Z9 43
U1 14
U2 216
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 1385-8947
EI 1873-3212
J9 CHEM ENG J
JI Chem. Eng. J.
PD OCT 15
PY 2021
VL 422
AR 130065
DI 10.1016/j.cej.2021.130065
EA MAY 2021
PG 11
WC Engineering, Environmental; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA TI1UW
UT WOS:000672571300004
DA 2025-01-10
ER

PT J
AU Xu, XG
   Fang, ZQ
   Wang, ZQ
AF Xu, Xiangguo
   Fang, Zhiqiang
   Wang, Zhiqiang
TI Climatic division based on frosting characteristics of air source heat
   pumps
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Air source heat pump; Data analysis; Climatic division; Frosting
   characteristics; Frosting degree hour
ID HOT-GAS BYPASS; PERFORMANCE ANALYSIS; DEFROSTING PERFORMANCE; THERMAL
   PERFORMANCE; ENERGY-CONSUMPTION; SYSTEM; IMPROVEMENT; SURFACE
AB The applicability of common defrost technologies depends on how easy it is for air source heat pumps to frost under local climate conditions. At the same time, the degree of frost formation of the air source heat pumps outdoor units are mainly affected by local climatic conditions. Therefore, this study proposes the concept of frosting degree hours, which is used to specifically characterize the impact of climatic conditions on air source heat pumps frost. In order to make the analysis and calculation of the frosting degree hours more accurate, this study carried out the collection of the actual operation data of the air source heat pumps in winter in many cities in China. Through the selection and analysis of the actual operating data, the data fitting method was used to analyze the different variables and the characteristic temperature difference between the evaporation temperature and the outdoor dry bulb temperature of systems with different power types was obtained. Finally, according to the analysis of the frosting degree hours under different characteristic temperature differences, combined with the frost characteristics of air source heat pumps of different power types in 275 cities in China, the climatic division was performed. This can provide a reference for the climate-adaptive design of air source heat pumps and the development of defrost control strategies. (c) 2020 Elsevier B.V. All rights reserved.
C1 [Xu, Xiangguo; Fang, Zhiqiang] Zhejiang Univ, Inst Refrigerat & Cryogen, Key Lab Refrigerat & Cryogen Technol Zhejiang Pro, 38 Zheda Rd, Hangzhou 310027, Peoples R China.
   [Wang, Zhiqiang] Zhejiang Univ Co Ltd, Architectural Design & Res Inst, 148 Tianmushan Rd, Hangzhou 310027, Peoples R China.
C3 Zhejiang University
RP Xu, XG (corresponding author), Zhejiang Univ, Inst Refrigerat & Cryogen, Key Lab Refrigerat & Cryogen Technol Zhejiang Pro, 38 Zheda Rd, Hangzhou 310027, Peoples R China.
EM zjuxgxu@zju.edu.cn
RI Fang, Zhiqiang/O-3209-2014
FU National Natural Science Foundation of China [51976181]; Toshiba Carrier
   Corporation (Japan)
FX The authors thank the National Natural Science Foundation of China
   (Project No: 51976181) and the Toshiba Carrier Corporation (Japan) for
   financially supporting the work reported in this paper.
CR Alshehri F, 2019, J BUILD ENG, V26, DOI 10.1016/j.jobe.2019.100825
   Amer M, 2017, RENEW SUST ENERG REV, V73, P53, DOI 10.1016/j.rser.2017.01.120
   Chen YG, 2009, APPL THERM ENG, V29, P2701, DOI 10.1016/j.applthermaleng.2009.01.003
   Chen YP, 2015, APPL THERM ENG, V90, P86, DOI 10.1016/j.applthermaleng.2015.06.098
   Dong JK, 2012, APPL THERM ENG, V37, P380, DOI 10.1016/j.applthermaleng.2011.11.052
   Kim MH, 2017, ENERG CONVERS MANAGE, V138, P1, DOI [10.1016/j.enconman.2017.01.067, 10.1016/j.encoriman.2017.01.067]
   Kwak K, 2010, APPL THERM ENG, V30, P539, DOI 10.1016/j.applthermaleng.2009.10.016
   Li YH, 2018, APPL THERM ENG, V133, P283, DOI 10.1016/j.applthermaleng.2018.01.002
   Liu D, 2007, RENEW ENERG, V32, P1228, DOI 10.1016/j.renene.2006.03.019
   Liu MZ, 2019, J CLEAN PROD, V238, DOI 10.1016/j.jclepro.2019.117889
   Melo C, 2013, APPL THERM ENG, V51, P239, DOI 10.1016/j.applthermaleng.2012.08.044
   Modarres FG, 2016, MEASUREMENT, V92, P391, DOI 10.1016/j.measurement.2016.05.096
   Qin HJ, 2014, EXP THERM FLUID SCI, V55, P106, DOI 10.1016/j.expthermflusci.2014.02.021
   Shao SL, 2019, APPL ENERG, V247, P78, DOI 10.1016/j.apenergy.2019.04.032
   Shen JB, 2019, ENRGY PROCED, V160, P491, DOI 10.1016/j.egypro.2019.02.197
   Sheng W, 2017, RENEW SUST ENERG REV, V79, P806, DOI 10.1016/j.rser.2017.05.088
   Sivasakthivel T, 2016, ENERG BUILDINGS, V131, P193, DOI 10.1016/j.enbuild.2016.09.034
   Song MJ, 2018, APPL ENERG, V211, P1150, DOI 10.1016/j.apenergy.2017.12.022
   Song MJ, 2016, APPL THERM ENG, V103, P1278, DOI 10.1016/j.applthermaleng.2016.03.173
   Song MJ, 2016, APPL THERM ENG, V94, P331, DOI 10.1016/j.applthermaleng.2015.10.082
   Song MJ, 2017, HKIE T, V24, P88, DOI DOI 10.1080/1023697X.2017.1313134
   Tso CP, 2001, INT J REFRIG, V24, P544, DOI 10.1016/S0140-7007(00)00052-9
   Wang W, 2013, APPL THERM ENG, V50, P177, DOI 10.1016/j.applthermaleng.2012.06.019
   Wang ZH, 2018, ENERG BUILDINGS, V175, P69, DOI 10.1016/j.enbuild.2018.07.031
   Wang ZY, 2013, APPL THERM ENG, V59, P398, DOI 10.1016/j.applthermaleng.2013.06.007
   Xiao B, 2020, RENEW ENERG, V147, P2013, DOI 10.1016/j.renene.2019.09.143
   Xu W, 2020, RENEW ENERG, V146, P2124, DOI 10.1016/j.renene.2019.08.079
   Zhang D, 2020, SOL ENERGY, V196, P287, DOI 10.1016/j.solener.2019.12.030
   Zhang L, 2018, ENERG BUILDINGS, V163, P10, DOI 10.1016/j.enbuild.2017.12.035
   Zhang L, 2018, RENEW SUST ENERG REV, V81, P353, DOI 10.1016/j.rser.2017.08.009
   Zhang QL, 2017, APPL ENERG, V207, P533, DOI 10.1016/j.apenergy.2017.06.083
   Zhao DY, 2016, ENERGY, V102, P660, DOI 10.1016/j.energy.2016.02.134
   Zhao D, 2015, ENERG BUILDINGS, V91, P180, DOI 10.1016/j.enbuild.2015.01.039
NR 33
TC 14
Z9 14
U1 3
U2 29
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD OCT 1
PY 2020
VL 224
AR 110219
DI 10.1016/j.enbuild.2020.110219
PG 9
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA NQ9XB
UT WOS:000571218200015
DA 2025-01-10
ER

PT J
AU Kucuker, DM
AF Kucuker, Derya Mumcu
TI Analyzing the effects of various forest management strategies and carbon
   prices on carbon dynamics in western Turkey
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Afforestation; Carbon dynamic; P. nigra; Quercus sp.; Ecosystem
   management; Optimization
ID INCORPORATING TIMBER; LAND-USE; SEQUESTRATION; VALUES; WATER; STOCKS;
   PINE; AFFORESTATION; IMPACT; OXYGEN
AB Determining appropriate management strategies to reduce greenhouse gas emissions using optimization techniques to understand how forest management activities affect the carbon dynamics is critical in implementing effective carbon management policies. This paper quantitatively analyzes the long-term effects of different management policies and silvicultural interventions using linear programming. In the analyses, afforestation targets for bare forest lands, tree species, carbon prices, planning approaches and sets of various targets and constraints on carbon dynamics were evaluated. The results were based on twenty-five forest management scenarios formulated for the Korucu Forest Planning Unit of Turkey.
   The results showed that, compared to timber-based planning strategies (TM), ecosystem-based planning approach (EM) contributes to a significant reduction in carbon sequestration in many cases. When different afforestation targets were incorporated into forest management strategies, cumulative carbon sequestration increased constantly compared to baseline scenario without any afforestation areas. In addition, the highest total carbon sequestration was observed when black pine (P. nigra) was used in afforestation activities rather than oak species (Quercus sp.) and other available tree species. While total timber production and timber net present value (NPV) decreased, carbon sequestration increased significantly with increasing carbon price. As a result of increasing carbon price from $20/ton to $100/ton, joint NPV increased by about five times. The results highlighted the importance of forest ecosystem and developing and implementing climate adaption measures into forest management activities in tackling climate change phenomenon.
C1 [Kucuker, Derya Mumcu] Karadeniz Tech Univ, Fac Forestry, TR-61080 Trabzon, Turkey.
C3 Karadeniz Technical University
RP Kucuker, DM (corresponding author), Karadeniz Tech Univ, Fac Forestry, TR-61080 Trabzon, Turkey.
EM dmumcu@ktu.edu.tr
RI Küçüker, derya/AAR-6865-2020
CR Alemdag I.S, 1962, ANKARA TECH B, V111, P160
   [Anonymous], 2014, PRINCIPLES PROCEDURE
   [Anonymous], 2018, KOR FOR MAN PLAN 201
   [Anonymous], 2015, REPUBLIC TURKEY
   [Anonymous], Global Warming of 1.5C. An IPCC Special Report on the impacts of global warming of 1.5C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty
   [Anonymous], 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories
   [Anonymous], 1997, Kyoto Protocol UNFCCC Website
   Asante P, 2016, CAN J FOREST RES, V46, P656, DOI 10.1139/cjfr-2015-0222
   Backéus S, 2005, FOREST ECOL MANAG, V216, P28, DOI 10.1016/j.foreco.2005.05.059
   Backéus S, 2006, SILVA FENN, V40, P615, DOI 10.14214/sf.318
   Baskent EZ, 2010, FOREST SYST, V19, P98, DOI 10.5424/fs/2010191-01171
   Baskent EZ, 2008, SCAND J FOREST RES, V23, P105, DOI 10.1080/02827580701803536
   Baskent EZ, 2019, J ENVIRON MANAGE, V238, P420, DOI 10.1016/j.jenvman.2019.03.024
   Baskent EZ, 2011, ENVIRON MODEL ASSESS, V16, P145, DOI 10.1007/s10666-010-9238-y
   Baskent EZ, 2009, ENVIRON MODEL ASSESS, V14, P467, DOI 10.1007/s10666-008-9148-4
   Bourque C. P. A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1253, DOI 10.1007/s11027-006-9072-3
   Chen YT, 2011, FOREST ECOL MANAG, V262, P1168, DOI 10.1016/j.foreco.2011.06.003
   Chladna Z, 2007, FOREST POLICY ECON, V9, P1031, DOI 10.1016/j.forpol.2006.09.005
   Davis L.S., 2001, FOREST MANAGEMENT SU, V4th
   Díaz-Balteiro L, 2003, FOREST ECOL MANAG, V174, P447, DOI 10.1016/S0378-1127(02)00075-0
   Diaz-Balteiro L, 2006, FOREST ECOL MANAG, V229, P247, DOI 10.1016/j.foreco.2006.04.005
   DMI, 2016, MET B
   Dong LB, 2018, ECOL MODEL, V385, P45, DOI 10.1016/j.ecolmodel.2018.07.009
   Dong LB, 2015, FORESTS, V6, P1362, DOI 10.3390/f6041362
   Eler U., 1986, USDA TECHNICAL B, P192
   Erasion I., 1954, FOREST MANAGEMENT PR, V132, P13
   Evcimen B.S., 1963, EC IMPORTANCE YIELD, V355, P16
   Fataei E, 2018, PAK J AGR SCI, V55, P555, DOI 10.21162/PAKJAS/18.4493
   Hansson K, 2013, FOREST ECOL MANAG, V309, P28, DOI 10.1016/j.foreco.2013.05.029
   Hennigar CR, 2008, FOREST ECOL MANAG, V256, P786, DOI 10.1016/j.foreco.2008.05.037
   Houghton J.T., 2001, CLIM CHANG SCI BAS C
   Huang YL, 2019, SCAND J FOREST RES, V34, P289, DOI 10.1080/02827581.2019.1578894
   IPCC, 2000, LAND USE LAND USE CH
   Kalipsiz A., 1963, RES STAND STRUCTURE, V349, P8
   Kaul M, 2009, FOREST ECOL MANAG, V258, P100, DOI 10.1016/j.foreco.2009.03.049
   Keles S, 2007, POL J ENVIRON STUD, V16, P473
   Krcmar E, 2005, ECOL MODEL, V185, P451, DOI 10.1016/j.ecolmodel.2004.12.014
   Krcmar E, 2001, EUR J OPER RES, V135, P616, DOI 10.1016/S0377-2217(00)00326-X
   Kucuker D.M., 2015, FOREST SYST, V24, P1
   Liski J, 2001, CAN J FOREST RES, V31, P2004, DOI 10.1139/cjfr-31-11-2004
   Neilson ET, 2006, CAN J SOIL SCI, V86, P219, DOI 10.4141/S05-081
   Primicia I, 2016, FOREST SYST, V25, DOI 10.5424/fs/2016252-07317
   Qin HY, 2017, FORESTS, V8, DOI 10.3390/f8020043
   Raymer AK, 2011, SILVA FENN, V45, P395, DOI 10.14214/sf.109
   Ruiz-Peinado R, 2013, EUR J FOREST RES, V132, P253, DOI 10.1007/s10342-012-0672-z
   Sedjo R.A., 2001, Forest Carbon Sequestration: Some Issues for Forest Investments
   Seidl R, 2007, FOREST ECOL MANAG, V248, P64, DOI 10.1016/j.foreco.2007.02.035
   Shrestha P, 2015, FORESTS, V6, P3045, DOI 10.3390/f6093045
   Song ZL, 2017, SCI TOTAL ENVIRON, V603, P502, DOI 10.1016/j.scitotenv.2017.06.107
   SUN O, 1977, TUBITAKTOAG288
   Tolunay D, 2013, P INT S 50 ANN FOR S, P240
   Turker M.F., 2000, ORMAN ISLETMECILIGI, V59, P226
   Varamesh S, 2014, J FORESTRY RES, V25, P135, DOI 10.1007/s11676-014-0438-1
   Wan-Yu L, 2017, FOREST POLICY ECON, V78, P51
   Wang HM, 2013, SCI WORLD J, DOI [10.1155/2013/865645, 10.1155/2013/658793]
   Watson R.T., 2000, INTERGOVERNMENTAL PA
   Yang XM, 2018, GEODERMA, V312, P36, DOI 10.1016/j.geoderma.2017.10.005
   Yousefpour R, 2009, ECOL ECON, V68, P1711, DOI 10.1016/j.ecolecon.2008.12.009
   Yüksek T, 2011, CATENA, V84, P47, DOI 10.1016/j.catena.2010.09.002
   Zhang C, 2013, EUR J SOIL BIOL, V54, P16, DOI 10.1016/j.ejsobi.2012.10.007
NR 60
TC 7
Z9 7
U1 1
U2 31
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 2019
VL 249
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DI 10.1016/j.jenvman.2019.109356
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WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA JH5GQ
UT WOS:000492797500058
PM 31445370
DA 2025-01-10
ER

PT J
AU Norton, C
   Hulme, M
AF Norton, Cherry
   Hulme, Mike
TI Telling one story, or many? An ecolinguistic analysis of climate change
   stories in UK national newspaper editorials
SO GEOFORUM
LA English
DT Article
DE UK Media; Climate change stories; Ecolinguistics; Ecomodemist;
   Lukewarmer; Smart Growth Reformer
ID MEDIA COVERAGE; SCIENCE; METAPHORS; SUSTAINABILITY; COMMUNICATION;
   OPPORTUNITY; DISCOURSES; POLITICS; POLICY
AB Media reporting of climate change plays a key role in shaping public perceptions and influencing climate policy. Scholarly debates about the representation of climate change in the mass media have largely concentrated on journalistic norms, expertise and ideology, on the role of imagery or on narrow aspects of language use. This study takes a different approach by focusing on how the story of climate change is told in the UK through mainstream newspaper editorials. Four climate change stories that have shaped the UK's national conversation on climate change are identified as Lukewarmer, Ecoactivist, Smart Growth Reformer and Ecomodernist. The narrative representation of climate change of these four stories as captured in the editorials of five UK national newspapers in 2001, 2007 and 2015 is then analysed using a multi-faceted ecolinguistic framework. Our analysis shows that the partisan divide on climate change between politically 'left' and 'right' broadsheets is much less in 2015 when compared with 2001. It identifies the salience of the Ecomodemist story across a broad political spectrum of print media in 2015. The Ecomodernist story emphasises technology and energy innovation responses to climate change, whilst also recognising that adaptation to extreme weather events is necessary. These two story-elements are present across different climate change stories, thus highlighting investment in climate adaptation and in energy R&D as responses to climate change that are less exposed to ideological contention.
C1 [Norton, Cherry] 1 Antrim Rd, London NW3 4XS, England.
   [Hulme, Mike] Univ Cambridge, Dept Geog, Cambridge CB2 3EN, England.
C3 University of Cambridge
RP Norton, C (corresponding author), 1 Antrim Rd, London NW3 4XS, England.
EM cherry.norton@mac.com; mh903@cam.ac.uk
RI Hulme, Mike/F-9012-2010
OI Hulme, Mike/0000-0002-1273-7662
CR Anderson K, 2012, NAT CLIM CHANGE, V2, P639, DOI 10.1038/nclimate1646
   Anderson Kevin., 2012, Development Dialogue, V61, P16
   [Anonymous], 2007, LAT TRADE, V15, P14
   [Anonymous], ENV COMMUN
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], GUARDIAN
   [Anonymous], 2010, UKS POPULATION PROBL
   [Anonymous], TIMES
   [Anonymous], ROLE LANGUAGE CLIMAT
   [Anonymous], DEMOCRACY NATURE
   [Anonymous], DAILY TELEGRCTP 0504
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], TIMES
   [Anonymous], GUARDIAN        0707
   [Anonymous], CONVERSATION
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], 2015, Daily Mail
   [Anonymous], DAILY MAIL
   [Anonymous], GUARDIAN
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], TECHNIKFOLGENABSCHAT
   [Anonymous], ATLANT WEEK
   [Anonymous], CARBON COMMENT
   [Anonymous], CARBON DIOXIDE GOOD
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], GUARDIAN
   [Anonymous], 1876, TIMES
   [Anonymous], TIMES
   [Anonymous], 2003, ANAL DISCOURSE TEXTU
   [Anonymous], 2008, Discourse and Practice, DOI DOI 10.1093/ACPROF:OSO/9780195323306.001.0001
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], ENV POLITICS
   [Anonymous], ITS OFFICIAL GLOBAL
   [Anonymous], CONVERSATION
   [Anonymous], 2000, ANAL PROFESSIONAL GE
   [Anonymous], PUBLIC INTELLECTUALS
   [Anonymous], CARBON WAR ROOM
   [Anonymous], GUARDIAN
   [Anonymous], ZYGON J RELIG SCI
   [Anonymous], TIMES
   [Anonymous], GUARDIAN
   [Anonymous], 2001, GUARDIAN
   [Anonymous], GUARDIAN
   [Anonymous], ENV POLIT
   [Anonymous], 2008, Metaphors Dead and Alive, Sleeping and Waking: A Dynamic View, DOI DOI 10.7208/CHICAGO/9780226548265.001.0001
   [Anonymous], 2014, HIGH ENERGY INNOVATI
   [Anonymous], PUBLIC ATTITUDES SCI
   [Anonymous], Federal Police Media Release
   [Anonymous], WARM WORDS
   [Anonymous], DEGROWTH RESPONSE EC
   [Anonymous], INDEPENDENT
   [Anonymous], LANG ECOL
   [Anonymous], HUMANITY THRIVES FAC
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], 2012, REFLECTIONS CRISIS R
   [Anonymous], 2013, CRITICAL DISCOURSE A, DOI DOI 10.5751/ES-08748-210341
   [Anonymous], 2001, GUARDIAN
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], 2010, The Rational Optimist: How Prosperity Evolves
   [Anonymous], 2010, SMALL IS BEAUTIFUL E
   [Anonymous], PRESS GAZETTE   0605
   [Anonymous], PUBLIC UNDERSTAND SC
   [Anonymous], CLIMATE WARS DAMAGE
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], 2018004 CEEPR WP MIT
   [Anonymous], GUARDIAN
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], TROUBLE CLIMATE CHAN
   [Anonymous], INDEPENDENT
   [Anonymous], INDEPENDENT
   [Anonymous], INDEPENDENT
   [Anonymous], TIMES
   [Anonymous], TRUTH CHINA WHY BEIJ
   [Anonymous], NUCL ENG DESIGN
   [Anonymous], 2007, INDEPENDENT
   [Anonymous], GUARDIAN
   [Anonymous], 2009, Geoengineering the Climate: Science, Governance and Uncertainty
   [Anonymous], GUARDIAN
   [Anonymous], SPRACHOKOLOGIE OKOLI
   [Anonymous], INDEPENDENT
   [Anonymous], 2015, GUARDIAN        1129
   [Anonymous], INDEPENDENT
   [Anonymous], INDEPENDENT
   [Anonymous], DAILY MAIL
   [Anonymous], 1996, REPRESENTING REALITY, DOI DOI 10.4135/9781446222119
   [Anonymous], CARBON COMMENT
   [Anonymous], URGENT ACTION NEEDED
   [Anonymous], UNINTENDED CONSEQUEN
   [Anonymous], BREAKTHROUGH DIALOG
   [Anonymous], INDEPENDENT
   [Anonymous], TIMES
   [Anonymous], WARM WORDS ARE WE TE
   [Anonymous], 2015, The Independent
   [Anonymous], INDEPENDENT
   [Anonymous], INDEPENDENT
   [Anonymous], TIMES
   [Anonymous], 50 SHADES GREEN BREA
   [Anonymous], 2015, The Guardian
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], CLIMATE CLOCK IS TIC
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], INTRO BREAKTHROUGH E
   [Anonymous], TIMES
   [Anonymous], GUARDIAN
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], 2006, STERN REV EC CLIMATE
   [Anonymous], 2005, J Environ Pol Plan, DOI DOI 10.1080/15239080500339646
   Arias-Maldonado M, 2013, ENVIRON POLIT, V22, P428, DOI 10.1080/09644016.2013.765161
   Bassett L., 2015, Revolution ...  Now: The Future Arrives for Five Clean Energy Technologies-2015 Update  ...
   Benwell B, 2006, DISCOURSE AND IDENTITY, P1
   Borg C., 2007, Public intellectuals, radical democracy and social movements: A book of interviews
   Boykoff MT, 2008, POLIT GEOGR, V27, P549, DOI 10.1016/j.polgeo.2008.05.002
   Boykoff MT, 2007, GEOFORUM, V38, P1190, DOI 10.1016/j.geoforum.2007.01.008
   Boykoff MT, 2007, EMBO REP, V8, P207, DOI 10.1038/sj.embor.7400924
   Boykoff MT, 2010, GLOBAL ENVIRON CHANG, V20, P53, DOI 10.1016/j.gloenvcha.2009.09.003
   Brand Stewart., 2010, Whole Earth Discipline: Why Dense Cities, Nuclear Power, Transgenic Crops, Restored Wildlands and Geoengineering Are Necessary
   BROOKS G, 1992, SIGPLAN NOTICES, V27, P1, DOI [10.13334/j.0258-8013.pcsee.213043, 10.1145/143103.143108]
   Brüggemann M, 2017, GLOBAL ENVIRON CHANG, V42, P58, DOI 10.1016/j.gloenvcha.2016.11.004
   Brüggemann M, 2014, SCI COMMUN, V36, P399, DOI 10.1177/1075547014533662
   Brysse K, 2013, GLOBAL ENVIRON CHANG, V23, P327, DOI 10.1016/j.gloenvcha.2012.10.008
   Carvalho A, 2005, RISK ANAL, V25, P1457, DOI 10.1111/j.1539-6924.2005.00692.x
   Carvalho A., 2005, Critical Discourse Studies, V2, P1, DOI [DOI 10.1080/17405900500052143, 10.1080/17405900500052143]
   Carvalho A, 2007, PUBLIC UNDERST SCI, V16, P223, DOI 10.1177/0963662506066775
   Chee YE, 2004, BIOL CONSERV, V120, P549, DOI 10.1016/j.biocon.2004.03.028
   Connor U, 1996, CONTRASTIVE RHETORIC
   Corbett JB, 2004, SCI COMMUN, V26, P129, DOI 10.1177/1075547004270234
   Crist E, 2018, SCIENCE, V362, P1242, DOI 10.1126/science.aau6026
   Daly H.E., 1997, Beyond growth: The economics of sustainable development
   Dittmer J, 2005, ANN ASSOC AM GEOGR, V95, P626, DOI 10.1111/j.1467-8306.2005.00478.x
   Doulton H, 2009, GLOBAL ENVIRON CHANG, V19, P191, DOI 10.1016/j.gloenvcha.2008.10.004
   Doyle J, 2011, ENVIRON SOCIOL, P1
   Dryzek JS., 2013, POLITICS EARTH ENV D
   Ehrlich P.R., 1968, POPULATION BOMB POPU
   Eisenstein C., 2013, The more beautiful world our hearts know is possible
   Elsasser SW, 2013, AM BEHAV SCI, V57, P754, DOI 10.1177/0002764212469800
   Evans Alex., 2017, The Myth Gap. What happens when evidence and arguments aren't enough?
   Fill Alwin., 2001, The Ecolinguistic Reader: Language, Ecology and the Environment
   Francis, 2015, Encyclical on Climate Change Inequality: On Care for Our Common Home
   Friedman T.L., 2009, HOT FLAT CROWDED WHY
   Gavin NT, 2011, PUBLIC UNDERST SCI, V20, P422, DOI 10.1177/0963662509353377
   Gleick PH, 2014, WEATHER CLIM SOC, V6, P331, DOI 10.1175/WCAS-D-13-00059.1
   Glotfelty Cheryll., 1996, The Ecocriticism Reader: Landmarks in Literary Ecology
   Gore Al., 2006, INCONVENIENT TRUTH
   Grubb M, 2012, NATURE, V491, P666, DOI 10.1038/491666a
   Hamilton Clive., 2010, REQUIEM SPECIES WHY
   Hart PS, 2011, SCI COMMUN, V33, P28, DOI 10.1177/1075547010366400
   Hawkes PW, 1997, INST PHYS CONF SER, P1
   Henry F., 2002, DISCOURSE DOMINATION
   Hoffman A.J., 2006, GETTING AHEAD CURVE
   Hoffman AJ, 2011, ORGAN ENVIRON, V24, P3, DOI 10.1177/1086026611404336
   Höijer B, 2010, PUBLIC UNDERST SCI, V19, P717, DOI 10.1177/0963662509348863
   Howarth CC, 2015, WIRES CLIM CHANGE, V6, P239, DOI 10.1002/wcc.332
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Hulme M, 2018, NAT CLIM CHANGE, V8, P515, DOI 10.1038/s41558-018-0174-1
   Jackson T., 2009, Prosperity without growth: economics for a finite planet
   Kareiva P, 2011, NATURAL CAPITAL: THEORY & PRACTICE OF MAPPING ECOSYSTEM SERVICES, P1, DOI 10.1093/acprof:oso/9780199588992.001.0001
   Keay M, 2016, ENERG POLICY, V94, P247, DOI 10.1016/j.enpol.2016.04.022
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Kingsnorth Paul., 2009, The Dark Mountain Project
   Klein N., 2015, THIS CHANGES EVERYTH
   Korten D., 2006, The great turning: From empire to earth community
   Koteyko N, 2012, LANG COMMUN, V32, P24, DOI 10.1016/j.langcom.2011.11.001
   Kunelius R, 2019, JOURNALISM, V20, P218, DOI 10.1177/1464884918807596
   Lakoff G.Johnson., 1980, METAPHORS WE LIVE
   Lakoff George., 2012, LITTLE BLUE BOOK ESS
   Latour B., 2012, Breakthrough Journal
   Lawson Nigel., 2008, An Appeal to Reason: A Cool Look at Global Warming
   Legagneux P, 2018, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00175
   Lomborg B., 2013, How Much have Global Problems Cost the World?
   LOVINS AB, 1976, FOREIGN AFF, V55, P65, DOI 10.2307/20039628
   Maibach E.W., 2015, The Francis effect: How Pope Francis changed the conversation about global warming
   Manzo K, 2016, T I BRIT GEOGR, V41, P460, DOI 10.1111/tran.12129
   Marris Emma., 2011, Rambunctious Garden: Saving Nature in a Post-Wild World, V1st
   Martin J. R., LANGUAGE EVALUATION
   McKibben B., 2007, DEEP EC WEALTH COMMU
   McKibben B., 2006, END NATURE
   Meadows D. H., 1972, The Limits to Growth
   Monbiot G., 2006, HEAT STOP PLANET BUR
   Naess Arne., 1990, Ecology, Community and Lifestyle: Outline of an Ecosophy
   Nerlich B, 2012, METAPHOR SYMBOL, V27, P131, DOI 10.1080/10926488.2012.665795
   Nerlich B, 2010, ENVIRON VALUE, V19, P419, DOI 10.3197/096327110X531543
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Nerlich B, 2010, ENVIRON COMMUN, V4, P37, DOI 10.1080/17524030903522389
   Nerlich B, 2009, ENVIRON COMMUN, V3, P206, DOI 10.1080/17524030902928793
   Neumayer E, 2007, GLOBAL ENVIRON CHANG, V17, P297, DOI 10.1016/j.gloenvcha.2007.04.001
   Nisbet MC, 2014, WIRES CLIM CHANGE, V5, P809, DOI 10.1002/wcc.317
   Nisbet MC, 2009, AM J BOT, V96, P1767, DOI 10.3732/ajb.0900041
   Nordhaus Ted, 2015, An Ecomodernist Manifesto
   Nordhaus Ted., 2007, BREAK DEATH ENV POLI
   Padian Kevin, 2001, American Paleontologist, V9, P12
   Painter J, 2018, GLOBAL ENVIRON CHANG, V48, P1, DOI 10.1016/j.gloenvcha.2017.11.003
   Painter J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044005
   Paterson M., 2011, The Oxford Handbook of Climate Change and Society, P611
   Prins G., 2010, HARTWELL PAPER NEW D
   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]
   Randers Jorgen., 2012, 2052 GLOBAL FORECAST, DOI DOI 10.1080/0969160X.2012.720407
   Rockstrom J., 2015, Big World, Small Planet: Abundance within Planetary Boundaries
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rudiak-Gould P, 2013, WEATHER CLIM SOC, V5, P120, DOI 10.1175/WCAS-D-12-00034.1
   Sachs J., 2008, COMMON WEALTH EC CRO
   Sachs Jeffrey., 2014, The Age of Sustainable Development, Online e-book companion to the Jeffrey Sachs course Age of Sustainable Development, DOI DOI 10.7312/SACH17314
   Schaefer MS, 2016, SECUR DIALOGUE, V47, P76, DOI 10.1177/0967010615600915
   Schmidt A, 2013, GLOBAL ENVIRON CHANG, V23, P1233, DOI 10.1016/j.gloenvcha.2013.07.020
   Scholes RJ, 2016, WIRES CLIM CHANGE, V7, P537, DOI 10.1002/wcc.404
   Selby J, 2017, POLIT GEOGR, V60, P232, DOI 10.1016/j.polgeo.2017.05.007
   Sharp L., 2001, J ENVIRON POL PLAN, V3, P193, DOI [DOI 10.1002/JEPP.88, 10.1002/jepp.88]
   Shaw C, 2015, ECOL ECON, V109, P34, DOI 10.1016/j.ecolecon.2014.11.001
   Sochor J, 2015, TRANSPORT RES REC, P1, DOI 10.3141/2536-01
   SPARKS C, 1987, MEDIA CULT SOC, V9, P427, DOI 10.1177/016344387009004004
   Steffen W, 2018, P NATL ACAD SCI USA, V115, P8252, DOI 10.1073/pnas.1810141115
   Steffensen SV, 2014, LANG SCI, V41, P6, DOI 10.1016/j.langsci.2013.08.003
   Stern N., 2009, A Blueprint for a Safer Planet: How to Manage Climate Change and Create a New Era of Progress and Prosperity
   Stibbe A., 2015, Ecolinguistics: Language, ecology and the stories we live by
   Stibbe A, 2014, CRIT DISCOURSE STUD, V11, P117, DOI 10.1080/17405904.2013.845789
   Suzuki D.T., 2010, The legacy: An elder's vision for our sustainable future
   Tallis H, 2008, P NATL ACAD SCI USA, V105, P9457, DOI 10.1073/pnas.0705797105
   Thomas Chris, 2017, Inheritors of the earth: how nature is thriving in an era of extinction, DOI DOI 10.1038/S41559-017-0448-4
   Victor David., 2011, GLOBAL WARMING GRIDL
   Weingart P, 2000, PUBLIC UNDERST SCI, V9, P261, DOI 10.1088/0963-6625/9/3/304
   Wilson K.M., 2000, Environmental risks and the media, P201, DOI DOI 10.4324/9780203164990
   Woods R, 2012, PUBLIC UNDERST SCI, V21, P323, DOI 10.1177/0963662510385061
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VL 104
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EP 136
DI 10.1016/j.geoforum.2019.01.017
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UT WOS:000478704100012
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Mastrangelo, S
   Moioli, B
   Ahbara, A
   Latairish, S
   Portolano, B
   Pilla, F
   Ciani, E
AF Mastrangelo, S.
   Moioli, B.
   Ahbara, A.
   Latairish, S.
   Portolano, B.
   Pilla, F.
   Ciani, E.
TI Genome-wide scan of fat-tail sheep identifies signals of selection for
   fat deposition and adaptation
SO ANIMAL PRODUCTION SCIENCE
LA English
DT Article
DE fat-tail; adaptation; genomics; sheep
ID RED-MAASAI; REVEALS; ASSOCIATION; PERFORMANCE; ENVIRONMENT; PATTERN;
   TRAITS
AB Fat tail in sheep represents a valuable energy reserve for facing future climate changes. The identification of genes with a role in the fat-tail phenotype may contribute to understanding the physiology of fat deposition and the mechanisms of adaptation. Genotypic data obtained with the OvineSNP50K array in 13 thin-tail sheep breeds from Italy were used to identify selection signatures of fat tail through pairwise thin- versus fat-tail sheep breed comparisons, with the following fat-tail breeds of the Mediterranean area: two unique Italian fat-tail breeds (Barbaresca and Laticauda), a Barbary sheep breed from Libya, Ossimi breed from Egypt, Cyprus Fat-Tail and Chios from the Greek islands Cyprus and Chios, respectively. F-st and (2) values obtained for >40000 polymorphic markers allowed confirmation of 12 fat-tail associations that were previously reported in Chinese and Iranian breeds. Two of these signals - on OAR 7 and OAR 13 - are in the proximity of two genes - VRTN and BMP2 - with a role in the variation of vertebral number and in fat-tail formation respectively. Two identified signals on OAR 6 and OAR 15 encompass two genes, PDGFRA and PDGFD, involved in the differentiation of preadipocytes. Further signals detected herein were reported in Chinese sheep as signatures of adaptation to desert areas. For several of the detected associations, the known role in either fat deposition or adaptation, thus contributing to revealing the molecular basis underlying mechanisms of energy storage and climate adaptation.
C1 [Mastrangelo, S.; Portolano, B.] Univ Palermo, Dipartimento Sci Agr Alimentari & Forestali, I-90128 Palermo, Italy.
   [Moioli, B.] Consiglio Ric Agr & Anal Econ Agr CREA, Via Salaria 31, I-00015 Monterotondo, Italy.
   [Ahbara, A.] Univ Nottingham, Sch Life Sci, Nottingham NG7 2RD, England.
   [Ahbara, A.; Latairish, S.] Univ Misurata, Dept Zool, Fac Sci, Misurata, Libya.
   [Pilla, F.] Univ Molise, Dipartimento Agr Ambiente & Alimenti, Campobasso, Italy.
   [Ciani, E.] Univ Bari Aldo Moro, Dipartimento Biosci Biotecnol & Biofarmaceut, Bari, Italy.
C3 University of Palermo; Consiglio per la Ricerca in Agricoltura e
   L'analisi Dell'economia Agraria (CREA); University of Nottingham;
   University of Molise; Universita degli Studi di Bari Aldo Moro
RP Moioli, B (corresponding author), Consiglio Ric Agr & Anal Econ Agr CREA, Via Salaria 31, I-00015 Monterotondo, Italy.
EM bianca.moioli@crea.gov.it
RI Ciani, Elena/B-2192-2013
OI Ahbara, Abulgasim Mustafa/0000-0001-9926-6551; PILLA,
   Fabio/0000-0002-1781-994X; ciani, elena/0000-0001-5673-0975;
   MASTRANGELO, Salvatore/0000-0001-6511-1981; Portolano,
   Baldassare/0000-0003-0792-9405
CR Akraim F., 2008, LIVESTOCK RES RURAL, V20, P8
   Al-Mamun HA, 2015, GENET SEL EVOL, V47, DOI 10.1186/s12711-015-0142-4
   [Anonymous], ANIMAL
   Atti N, 2004, ANIM RES, V53, P165, DOI 10.1051/animres:2004012
   Baker RL, 2004, ANIM SCI, V79, P343, DOI 10.1017/S1357729800090214
   Bakhtiarizadeh MR, 2013, GENE, V521, P122, DOI 10.1016/j.gene.2013.03.045
   Beaumont MA, 2005, TRENDS ECOL EVOL, V20, P435, DOI 10.1016/j.tree.2005.05.017
   Bigi D., 2008, Atlante delle razze autoctone: Bovini, equini, ovicaprini, suini allevati in Italia
   Bonhomme M, 2010, GENETICS, V186, P241, DOI 10.1534/genetics.104.117275
   Ciani E, 2014, ANIM GENET, V45, P256, DOI 10.1111/age.12106
   Ciani E, 2013, SMALL RUMINANT RES, V112, P21, DOI 10.1016/j.smallrumres.2012.12.013
   El-Shennawy M., 1995, Cahiers Options Mediterraneennes, V11, P27
   Fariello MI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103813
   Gizaw G., 2008, THESIS
   Kashan NEJ, 2005, SMALL RUMINANT RES, V60, P267, DOI 10.1016/j.smallrumres.2005.01.001
   Keane OM, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-42
   Kijas JW, 2012, PLOS BIOL, V10, DOI 10.1371/journal.pbio.1001258
   Lv FH, 2014, MOL BIOL EVOL, V31, P3324, DOI 10.1093/molbev/msu264
   Mason IL., 1967, Sheep breeds of the Mediterranean
   Mastrangelo S, 2018, ANIM GENET, V49, P71, DOI 10.1111/age.12634
   Mikawa S, 2011, BMC GENET, V12, DOI 10.1186/1471-2156-12-5
   Moioli B, 2015, J ANIM SCI, V93, P4660, DOI 10.2527/jas.2015-9389
   Moradi MH, 2012, BMC GENET, V13, DOI 10.1186/1471-2156-13-10
   Nejati-Javaremi A., 2007, International Journal of Agriculture and Biology, V9, P645
   OLTENACU EA, 1974, J HERED, V65, P331, DOI 10.1093/oxfordjournals.jhered.a108543
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Qanbari S, 2010, ANIM GENET, V41, P346, DOI 10.1111/j.1365-2052.2009.02011.x
   Seroussi E, 2017, GENET SEL EVOL, V49, DOI 10.1186/s12711-017-0296-3
   Signorelli F, 2012, LIVEST SCI, V149, P224, DOI 10.1016/j.livsci.2012.07.018
   Theodoridis A, 2012, SMALL RUMINANT RES, V107, P85, DOI 10.1016/j.smallrumres.2012.05.011
   Tibin MAM, 2007, THESIS
   Wang M, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1370-2
   Wanyangu SW, 1997, VET PARASITOL, V69, P275, DOI 10.1016/S0304-4017(96)01129-6
   Wei CH, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1384-9
   Wu XP, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-897
   Xu SS, 2017, ANIM GENET, V48, P560, DOI 10.1111/age.12572
   Yang J, 2016, MOL BIOL EVOL, V33, P2576, DOI 10.1093/molbev/msw129
   Yuan Z, 2017, ANIM GENET, V48, P55, DOI 10.1111/age.12477
   Zhang ZF, 2017, ASIAN AUSTRAL J ANIM, V30, P1234, DOI 10.5713/ajas.16.0959
NR 39
TC 30
Z9 31
U1 2
U2 15
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1836-0939
EI 1836-5787
J9 ANIM PROD SCI
JI Anim. Prod. Sci.
PY 2019
VL 59
IS 5
BP 835
EP 848
DI 10.1071/AN17753
PG 14
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA HU4JC
UT WOS:000465239400003
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Sozanska-Stanton, M
   Carey, PD
   Griffiths, GH
   Vogiatzakis, IN
   Treweek, J
   Butcher, B
   Charlton, MB
   Keenleyside, C
   Arnell, NW
   Tucker, G
   Smithy, P
AF Sozanska-Stanton, M.
   Carey, P. D.
   Griffiths, G. H.
   Vogiatzakis, I. N.
   Treweek, J.
   Butcher, B.
   Charlton, M. B.
   Keenleyside, C.
   Arnell, N. W.
   Tucker, G.
   Smithy, P.
TI Balancing conservation and climate change - a methodology using existing
   data demonstrated for twelve UK priority habitats
SO JOURNAL FOR NATURE CONSERVATION
LA English
DT Article
DE Priority habitats; Conservation; Management; Climate change; Greenhouse
   gas
ID NITROUS-OXIDE FLUXES; EMISSION RATES; SOIL; N2O; MANAGEMENT; GRASSLAND;
   CARBON; MODEL; CH4; UNCERTAINTIES
AB Mitigation of climate change (CC) is a regulating ecosystem service provided by priority habitats that is often co-delivered alongside their conservation of biodiversity. Carefully planned conservation management is thought necessary to support biodiversity adaptation to CC, but could also contribute to CC mitigation. This paper presents a methodology for assessing direct emissions of greenhouse gases (GHG: CO2, CH4 and N2O) from 12 UK priority habitats in 26 Special Areas of Conservation (SAC) using readily available data. Background emissions are estimated on the basis of published field research. The contribution of conservation management to GHG emission reduction is estimated using the IPCC GHG accounting methodology and other methods. Management Data Acquisition surveys carried out at selected SACs provided data on management practises for Scotland and Wales. Climate change mitigation actions identified in this study for priority habitats included livestock removal or change in stocking density, with GHG reduction potential of up to 3 tCO(2)e/animallyear, afforestation of acid grasslands-up to 19.4 tCO(2)e/ha/year, wetland restoration-0.3-0.8 tCO(2)e/ha/year and cessation of moorland burning-6.9 tCO(2)e/ha/year. Estimated GHG emissions from priority habitats can be used to identify win:win management options that co-deliver GHG mitigation, climate adaptation and conservation benefits for consideration by policy makers and conservation managers. (C) 2016 Elsevier GmbH. All rights reserved.
C1 [Sozanska-Stanton, M.; Smithy, P.] Univ Aberdeen, Inst Biol & Environm Sci, 23 St Machar Dr, Aberdeen AB24 3UU, Scotland.
   [Carey, P. D.] Univ Cambridge, Dept Plant Sci, Downing St, Cambridge CB2 3EA, England.
   [Griffiths, G. H.; Vogiatzakis, I. N.] Univ Reading, Geog & Environm Sci, POB 227, Reading RG6 6AB, Berks, England.
   [Vogiatzakis, I. N.] Open Univ Cyprus 2252, Sch Pure & Appl Sci, Nicosia, Cyprus.
   [Treweek, J.; Butcher, B.] Treweek Environm Consultants Ltd, Cullompton EX15 2DS, Devon, England.
   [Charlton, M. B.; Arnell, N. W.] Univ Reading, Walker Inst, Agr Bldg, Reading RG6 6AR, Berks, England.
   [Keenleyside, C.; Tucker, G.] Inst European Environm Policy, 15 Queen Annes Gate, London SWIH 9AB, England.
C3 University of Aberdeen; University of Cambridge; University of Reading;
   University of Reading
RP Sozanska-Stanton, M (corresponding author), Univ Aberdeen, Inst Biol & Environm Sci, 23 St Machar Dr, Aberdeen AB24 3UU, Scotland.; Sozanska-Stanton, M (corresponding author), 40 New Rd, Milnathort KY13 9XT, England.
EM mmm.sozanska@btinternet.com
RI Charlton, Matthew/AAM-1251-2021; Arnell, Nigel/AAC-7331-2020; Smith,
   Pete/G-1041-2010; Vogiatzakis, Ioannis/J-6986-2013
OI Smith, Pete/0000-0002-3784-1124; Charlton, Matthew/0000-0003-2045-4184;
   Vogiatzakis, Ioannis/0000-0001-7071-6950
FU DEFRA [CR0439]
FX We would like to thank the following for their contribution to this
   study: NSRI at Cranfield University for soil C data in England and
   Wales, The James Hutton Institute for soil C data in Scotland, the
   Agriculture Food and Bioscience Institute for soil C data on two sites
   in Northern Ireland, the Met Office for long-term-average climatic data
   (UKCIP02), EDINA for raster data of livestock numbers in Great Britain,
   Dr. Page at Lancaster University for atmospheric N deposition data,
   Clive Walmsley and Brian Eardley for their valuable assistance in the
   Management Data Acquisition survey. Finally, we would like to thank
   DEFRA for their financial support of this work under Project CR0439.
CR [Anonymous], ECOLOGY OF HEATHLAND
   [Anonymous], MUIRB COD
   [Anonymous], 2010, ENGL PEATL CARB STOR
   [Anonymous], 2007, The Heather and Grass Burning Code 2007, Best Practice Guide 7: Burning in the uplands of south-west England
   [Anonymous], 2010, 907 NERC CTR EC HYDR
   [Anonymous], 2008, UK Biodiversity Action Plan; Priority Habitat Descriptions. (ed. Ant Maddock). Machair (UK BAP Priority Habitat description) (jncc.gov.uk)
   Bouwman A.F., 1990, Proceedings of the International Conference on Soils and the Greenhouse Effect
   Bouwman AF, 1996, NUTR CYCL AGROECOSYS, V46, P53, DOI 10.1007/BF00210224
   Brown L, 2002, ATMOS ENVIRON, V36, P917, DOI 10.1016/S1352-2310(01)00512-X
   ButterbachBahl K, 1997, NUTR CYCL AGROECOSYS, V48, P79, DOI 10.1023/A:1009785521107
   Cannell M. G. R., 1996, Commonwealth Forestry Review, V75, P92
   CANNELL MGR, 1993, FORESTRY, V66, P353, DOI 10.1093/forestry/66.4.353
   Carey P. D., 2015, CR0439 DEFRA
   Chadwick D., 1999, METHANE NITROUS OXID
   CRUTZEN P J, 1986, Tellus Series B Chemical and Physical Meteorology, V38, P271
   Davidson E. A., 1991, Microbial production and consumption of greenhouse gases: methane, nitrogen oxides, and halomethanes., P219
   Dinsmore KJ, 2009, SOIL BIOL BIOCHEM, V41, P1315, DOI 10.1016/j.soilbio.2009.03.022
   Dobbie KE, 1996, SOIL BIOL BIOCHEM, V28, P1357, DOI 10.1016/S0038-0717(96)00152-6
   Dragosits U, 1998, ENVIRON POLLUT, V102, P195, DOI 10.1016/S0269-7491(98)80033-X
   Flessa H, 2002, AGR ECOSYST ENVIRON, V91, P175, DOI 10.1016/S0167-8809(01)00234-1
   Fowler D., 1997, P147
   Gac A, 2007, LIVEST SCI, V112, P252, DOI 10.1016/j.livsci.2007.09.006
   GIBBS MJ, 1993, INT METHANE EMISSION
   Gottschalk P, 2007, AGR ECOSYST ENVIRON, V121, P175, DOI 10.1016/j.agee.2006.12.026
   Hillier J, 2011, ENVIRON MODELL SOFTW, V26, P1070, DOI 10.1016/j.envsoft.2011.03.014
   Holden J, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003909
   Holden J, 2007, EARTH-SCI REV, V82, P75, DOI 10.1016/j.earscirev.2007.01.003
   JARVIS SC, 1994, CLIMATIC CHANGE, V27, P27, DOI 10.1007/BF01098471
   Lal R, 2004, GEODERMA, V123, P1, DOI 10.1016/j.geoderma.2004.01.032
   Macdonald JA, 1997, ATMOS ENVIRON, V31, P3693, DOI 10.1016/S1352-2310(97)00265-3
   Macdonald JA, 1998, ATMOS ENVIRON, V32, P3219, DOI 10.1016/S1352-2310(97)00464-0
   Mackay AW, 1996, BIOL CONSERV, V76, P31, DOI 10.1016/0006-3207(95)00087-9
   Mäkiranta P, 2008, SOIL BIOL BIOCHEM, V40, P1592, DOI 10.1016/j.soilbio.2008.01.009
   Miller JD, 1996, FORESTRY, V69, P193, DOI 10.1093/forestry/69.3.193-a
   Milne R, 1997, J ENVIRON MANAGE, V49, P413, DOI 10.1006/jema.1995.0118
   Milne R., 2001, UK EMISSIONS SOURCES, P11
   Nayak D. R., 2009, Mires and Peat, V4, P09
   Ostle NJ, 2009, LAND USE POLICY, V26, pS274, DOI 10.1016/j.landusepol.2009.08.006
   Page T, 2008, ENVIRON POLLUT, V156, P997, DOI 10.1016/j.envpol.2008.05.015
   Ratcliffe DA, 1988, FLOW COUNTRY PEATLAN
   Ross S, 2003, AGR ECOSYST ENVIRON, V97, P39, DOI 10.1016/S0167-8809(03)00141-5
   Scottish Borders Council, 2010, SCOTT BORD LOWL RAIS
   Skiba U, 1996, ENERG CONVERS MANAGE, V37, P1303, DOI 10.1016/0196-8904(95)00337-1
   Smith J, 2010, CLIM RES, V45, P179, DOI 10.3354/cr00899
   Smith P., 2011, UK NATL ECOSYSTEM AS
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   Smith P, 2013, J APPL ECOL, V50, P812, DOI 10.1111/1365-2664.12016
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Sommer SG, 2004, NUTR CYCL AGROECOSYS, V69, P143, DOI 10.1023/B:FRES.0000029678.25083.fa
   Sozanska M, 2002, ATMOS ENVIRON, V36, P987, DOI 10.1016/S1352-2310(01)00441-1
   Stevenson A., 1996, DETERMINATION FIRE H, V16
   UKBAP, 2007, BIOD REP INF GROUP R
   Velthof GL, 1995, EUR J SOIL SCI, V46, P541, DOI 10.1111/j.1365-2389.1995.tb01350.x
   Velthof GL, 1996, NETH J AGR SCI, V44, P339
   Vermoesen A., 1997, P189
   von Arnold K, 2005, SOIL BIOL BIOCHEM, V37, P1059, DOI 10.1016/j.soilbio.2004.11.004
   Worrall F, 2009, SCI TOTAL ENVIRON, V407, P4084, DOI 10.1016/j.scitotenv.2009.03.008
NR 57
TC 5
Z9 6
U1 3
U2 105
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1617-1381
EI 1618-1093
J9 J NAT CONSERV
JI J. Nat. Conserv.
PD MAY
PY 2016
VL 30
BP 76
EP 89
DI 10.1016/j.jnc.2016.01.005
PG 14
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DH0EQ
UT WOS:000372455700009
DA 2025-01-10
ER

PT J
AU Lane, K
   Wheeler, K
   Charles-Guzman, K
   Ahmed, M
   Blum, M
   Gregory, K
   Graber, N
   Clark, N
   Matte, T
AF Lane, Kathryn
   Wheeler, Katherine
   Charles-Guzman, Kizzy
   Ahmed, Munerah
   Blum, Micheline
   Gregory, Katherine
   Graber, Nathan
   Clark, Nancy
   Matte, Thomas
TI Extreme Heat Awareness and Protective Behaviors in New York City
SO JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
LA English
DT Article
DE Climate change; Heat-health behaviors; Heat waves; Risk perception;
   Climate adaptation; Air conditioning
ID SELF-RATED HEALTH; TEMPERATURE EXTREMES; PUBLIC-HEALTH; UNITED-STATES;
   MORTALITY; CITIES; RISK; WAVE
AB Heat waves can be lethal and routinely prompt public warnings about the dangers of heat. With climate change, extreme heat events will become more frequent and intense. However, little is known about public awareness of heat warnings or behaviors during hot weather. Awareness of heat warnings, prevention behaviors, and air conditioning (AC) prevalence and use in New York City were assessed using quantitative and qualitative methods. A random sample telephone survey was conducted in September 2011 among 719 adults and follow-up focus groups were held in winter 2012 among seniors and potential senior caregivers. During summer 2011, 79 % of adults heard or saw a heat warning. Of the 24 % who were seniors or in fair or poor health, 34 % did not own AC or never/rarely used it on hot days. Of this subgroup, 30 % were unaware of warnings, and 49 % stay home during hot weather. Reasons for not using AC during hot weather include disliking AC (29 %), not feeling hot (19 %), and a preference for fans (18 %). Seniors in the focus groups did not perceive themselves to be at risk, and often did not identify AC as an important health protection strategy. While heat warnings are received by most New Yorkers, AC cost, risk perception problems, and a preference for staying home leave many at risk during heat waves. Improving AC access and risk communications will help better protect the most vulnerable during heat waves.
C1 [Lane, Kathryn; Wheeler, Katherine; Charles-Guzman, Kizzy; Ahmed, Munerah; Graber, Nathan; Clark, Nancy; Matte, Thomas] New York City Dept Hlth & Mental Hyg, Div Environm Hlth, New York, NY 10013 USA.
   [Blum, Micheline] CUNY, Baruch Coll, Sch Publ Affairs, Baruch Coll Survey Res, New York, NY 10021 USA.
   [Gregory, Katherine] New York City Dept Hlth & Mental Hyg, Div External Affairs, New York, NY USA.
C3 New York City Department of Health & Mental Hygiene; City University of
   New York (CUNY) System; Baruch College (CUNY); New York City Department
   of Health & Mental Hygiene
RP Lane, K (corresponding author), New York City Dept Hlth & Mental Hyg, Div Environm Hlth, New York, NY 10013 USA.
EM klane1@health.nyc.gov
FU Centers for Disease Control and Prevention (CDC) [1UE1EH000757-01]; City
   of New York tax levy funds
FX This work was supported by Centers for Disease Control and Prevention
   (CDC) grant #1UE1EH000757-01 and by City of New York tax levy funds.
CR Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], PROT VULN PEOPL HLTH
   [Anonymous], 2016, STAND DEF FIN DISP C, V9th
   Bassil KL, 2010, INT J ENV RES PUB HE, V7, P991, DOI 10.3390/ijerph7030991
   Blum LN, 1998, JAMA-J AM MED ASSOC, V279, P1514, DOI 10.1001/jama.279.19.1514
   Boyd R, 2009, AGE AGEING, V38, P423, DOI 10.1093/ageing/afp053
   DeSalvo KB, 2006, J GEN INTERN MED, V21, P267, DOI 10.1111/j.1525-1497.2005.00291.x
   Elfassy T.Y. S, EPI DATA BRIEF 2013
   Gupta S., 2012, COCHRANE DB SYST REV, V2012, pCD009888
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Huisman M, 2009, SOC SCI MED, V69, P307
   Huisman M, 2010, SOC SCI MED, V70, P652, DOI 10.1016/j.socscimed.2009.11.003
   Jylhä M, 2009, SOC SCI MED, V69, P307, DOI 10.1016/j.socscimed.2009.05.013
   KILBOURNE EM, 1982, JAMA-J AM MED ASSOC, V247, P3332, DOI 10.1001/jama.247.24.3332
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   National Weather Service, 2013, NAT HAZ STAT
   New York City Department of Health and Mental Hygiene, EP NYC INT HLTH DAT
   New York City Panel on Climate Change (NPCC), 2010, CLIM RISK INF 2010
   NYC Department of Health and Mental Hygiene, NYC VIT SIGNS INV RE
   NYC Department of Health & Mental Hygiene, 2007, NEW YORK CIT COMM HL
   NYC Department of Health & Mental Hygiene, 2013, DISTR PUBL HLTH OFF
   O'Neill MS, 2009, J OCCUP ENVIRON MED, V51, P13, DOI 10.1097/JOM.0b013e318173e122
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   Semenza JC, 1999, AM J PREV MED, V16, P269, DOI 10.1016/S0749-3797(99)00025-2
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Sheridan SC, 2007, INT J BIOMETEOROL, V52, P3, DOI 10.1007/s00484-006-0052-9
   Thacker MTF, 2008, DISASTERS, V32, P303, DOI 10.1111/j.1467-7717.2008.01041.x
   US Environmental Protection Agency (EPA), 2006, EXC HEAT EV GUID 200
   Wheeler K, 2013, MMWR-MORBID MORTAL W, V62, P617
   White-Newsome JL, 2012, ENVIRON RES, V112, P20, DOI 10.1016/j.envres.2011.10.008
NR 32
TC 71
Z9 82
U1 5
U2 58
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1099-3460
EI 1468-2869
J9 J URBAN HEALTH
JI J. Urban Health
PD JUN
PY 2014
VL 91
IS 3
BP 403
EP 414
DI 10.1007/s11524-013-9850-7
PG 12
WC Public, Environmental & Occupational Health; Medicine, General &
   Internal
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; General & Internal Medicine
GA AK8HI
UT WOS:000338667900001
PM 24297476
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Sani, RM
   Shotorbani, PM
AF Sani, Rafooneh Mokhtarshahi
   Shotorbani, Payam Mahasti
TI SYMBOLIC USE OF WIND-CATCHERS IN IRAN
SO OPEN HOUSE INTERNATIONAL
LA English
DT Article
DE Vernacular; Symbol; Identity; Wind-Catchers; Iran
AB In recent decades, Iranian vernacular architecture has defined the local architectural identity by demonstrating distinctive characteristics. Defining such a critical role for vernacular studies has led to different approaches in the design of the contemporary architecture of Iran. The first approach of integrating vernacular and contemporary designs has focused on local people, their needs, local construction, and building materials. The revival of vernacular architectural design and building elements has been at the forefront of this approach in Iran. However, recent use in Iran has concentrated on the symbolic/abstract reuse of vernacular building forms. Vernacular architecture is known to merely provide for the functional requirements of buildings, and not for aesthetic purposes. Conversely, in the second approach, vernacular building elements are considered to be symbols of local identity. This paper will argue that although the symbolic reuse of vernacular features may not uphold the functional expectations of the vernacular form, this reuse is useful in reviving architectural identity. In addition, underscoring such a different role for vernacular building features in contemporary architecture might help to expand the realm of vernacular studies. Thus, the purpose of this paper is to provide an overview of the conversion of vernacular architecture in Iran by focusing on the instance of wind-catchers. Wind-catchers typically were used in residential buildings and are considered potent symbols of climate adaptation. In contemporary architecture, however, a form of wind-catcher has been used as a symbol for local architectural identity. Through this transformation, the essential nature of the wind-catcher has found new life in the contemporary architecture of Iran.
C1 [Sani, Rafooneh Mokhtarshahi; Shotorbani, Payam Mahasti] Eastern Mediterranean Univ, Fac Architecture, Mersin, Turkey.
C3 Eastern Mediterranean University
RP Sani, RM (corresponding author), Eastern Mediterranean Univ, Fac Architecture, Mersin, Turkey.
EM r.mokhtarshahi@emu.edu.tr; payam.mahasti@cc.emu.edu.tr
OI MahastiShotorbani, Payam/0000-0002-0466-4053
CR ABOLGHASEM F., 2002, ARTISTIC REFLECTIONS
   AlSayyad N., 2006, Vernacular architecture in the twenty-first century: theory, education and practice
   [Anonymous], 1990, The meaning of the built environment: a nonverbal communication approach
   APPLEYARD D, 1979, J AM PLANN ASSOC, V45, P143, DOI 10.1080/01944367908976952
   Asquith L., 2006, VERNACULAR ARCHITECT
   Avis P., 1999, GOD CREATIVE IMAGINA
   Bahadori MN, 2008, RENEW ENERG, V33, P2273, DOI 10.1016/j.renene.2007.12.018
   Banani Amin., 1961, The Modernization of Iran, 1921-1941
   Berger Asa., 1998, Signs in Contemporary Culture: An Introduction to Semiotics
   BROWN R., 2012, HIST MODERN MIDDLE E
   Coolen H, 2007, OPEN HOUSE INT, V32, P55
   Davis Howard., 2006, CULTURE BUILDINGS
   DIBA D., 1991, MIMAR
   DIBA D., 2004, TRENDS MODERN IRANIA
   Eliade Mircea., 1991, Images and Symbols
   Habraken NJ, 2006, OPEN HOUSE INT, V31, P12
   Hall Stuart., 1997, Identity and Difference
   HULL RB, 1994, LANDSCAPE URBAN PLAN, V28, P109, DOI 10.1016/0169-2046(94)90001-9
   Jodidio P., 2004, IRAN ARCHITECTURE CH
   Johansson R, 2007, OPEN HOUSE INT, V32, P48
   Jung K. G., 1964, MAN HIS SYMBOLS
   Khan N, 2008, ENERG BUILDINGS, V40, P1586, DOI 10.1016/j.enbuild.2008.02.015
   Lin G.C. S., 2002, Asia-Pacific Viewpoint, V43, P63
   Lynch K., 1972, What time is this place?
   MAUDLIN D., 2008, VERNACULAR ARCHITECT, V39, P1
   Maudlin D, 2010, VERNAC ARCHIT, V41, P10, DOI 10.1179/174962910X12838716153682
   Micara L., 1999, ENV DESIGN J ISLAMIC, P52
   Mirmiran H., 2004, IRAN ARCHITECTURE CH
   Montazeri H, 2008, BUILD ENVIRON, V43, P2193, DOI 10.1016/j.buildenv.2008.01.005
   MURPHY K., 2007, LA TIMES        0919
   Oliver Paul, 1997, ENCY VERNACULAR ARCH
   Oliver Paul., 2006, BUILT MEET NEEDS CUL, DOI [10.4324/9780080476308, DOI 10.4324/9780080476308]
   Oliver Paul., 2007, Dwellings: The Vernacular House Worldwide
   Paasi A, 2002, TIJDSCHR ECON SOC GE, V93, P137, DOI 10.1111/1467-9663.00190
   Pulhan H., 2006, Journal of Design History, V19, P105, DOI [10.1093/jdh/epi050, DOI 10.1093/JDH/EPI050]
   Rapoport A., 1974, Journal of Architectural Education, V27, P58
   RODUFSKY B., 1964, ARCHITECTURE ARCHITE
   Trancik Roger., 1986, FINDING LOST SPACE
   Vellinga M, 2005, ANTHROPOL TODAY, V21, P3, DOI 10.1111/j.0268-540X.2005.00351.x
   VELLINGA MarcelEd., 2006, Vernacular Architecture in the Twenty-First Century
   Whitehead AlfredNorth., 1985, SYMBOLISM ITS MEANIN
   ZARANDI M., 2009, WORLD ACAD SCI ENG T, V54
NR 42
TC 3
Z9 3
U1 0
U2 5
PU OPEN HOUSE INT
PI GREAT BRITAIN
PA URBAN INTERNATIONAL PRESS, PO BOX 74, GATESHEAD, TYNE & WEAR, GREAT
   BRITAIN, NE9 5UZ, ENGLAND
SN 0168-2601
J9 OPEN HOUSE INT
JI Open House Int.
PD JUN
PY 2013
VL 38
IS 2
BP 76
EP 87
PG 12
WC Architecture; Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Environmental Sciences & Ecology; Urban Studies
GA 183HB
UT WOS:000321804000008
DA 2025-01-10
ER

PT J
AU Shiota, H
   Kimura, MT
AF Shiota, Hiroaki
   Kimura, Masahito T.
TI Evolutionary trade-offs between thermal tolerance and locomotor and
   developmental performance in drosophilid flies
SO BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
LA English
DT Article
DE cold tolerance; heat tolerance; latitudinal distribution; phylogenetic
   analysis; pupal development; walking speed
ID HEAT-SHOCK PROTEINS; CLIMATIC ADAPTATIONS; DIPTERA; COLD; MELANOGASTER;
   TAKAHASHII; IMMIGRANS; RESPONSES; COSTS
AB Cold-tolerant ectothermal animals are generally absent from warmer regions, suggesting that the acquisition of cold tolerance is associated with the loss of adaptation to warmer environments. In the present study, we compared thermal tolerance, walking speed (WS) and pupal development (PD) for 28 drosophilid species from cool-temperate, warm-temperate, and subtropical regions by the phylogenetically-based method and the conventional regression to understand trade-offs between these traits. A significant negative relationship was observed between cold tolerance and the rate of PD in both sexes and between cold tolerance and WS in the male in the phylogenetically-based analysis. Similar results were obtained in the conventional regression analysis, although the level of significance somewhat differed. Thus, cold tolerant species are assumed to have lost abilities to develop and walk fast. Subsequently, they may become more vulnerable to predators, parasitoids or infectious microorganisms and may have become extinct in warmer regions through enemy-mediated interactions and/or resource competition with cold susceptible species with faster development and quicker locomotion. In the present study, no significant relationship was observed between heat tolerance and WS or the rate of PD in the phylogenetically-based analysis, although heat tolerance was significantly related with the rate of PD in the conventional regression analysis. Thus, trade-offs associated with heat tolerance were not apparent. (c) 2007 The Linnean Society of London.
C1 Hokkaido Univ, Grad Sch Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan.
C3 Hokkaido University
RP Kimura, MT (corresponding author), Hokkaido Univ, Grad Sch Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan.
EM mtk@ees.hokudai.ac.jp
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   [Anonymous], 2003, The Structure and Dynamics of Geographic Ranges
   [Anonymous], 2002, Biochemical Adaptation
   BEPPU K, 1996, JAPANESE J ENTOMOLOG, V63, P627
   BRATTSTROM BH, 1968, COMP BIOCHEM PHYSIOL, V24, P93, DOI 10.1016/0010-406X(68)90961-4
   Case TJ, 2005, OIKOS, V108, P28, DOI 10.1111/j.0030-1299.2005.13148.x
   COLEMAN JS, 1995, TRENDS ECOL EVOL, V10, P305, DOI 10.1016/S0169-5347(00)89112-0
   Cox C.B., 1993, BIOGEOGRAPHY ECOLOGI, V5th
   Davis AJ, 1998, J ANIM ECOL, V67, P600, DOI 10.1046/j.1365-2656.1998.00223.x
   Eastman J.T., 1993, Antarctic Fish Biology: Evolution in a Unique Environment
   Feder ME, 1998, AM ZOOL, V38, P503
   FELSENSTEIN J, 1985, AM NAT, V125, P1, DOI 10.1086/284325
   Fischer K, 2004, EVOL ECOL, V18, P343, DOI 10.1007/s10682-004-2004-3
   Gibert P, 2001, EVOLUTION, V55, P205, DOI 10.1111/j.0014-3820.2001.tb01286.x
   Goto SG, 1998, J INSECT PHYSIOL, V44, P1233, DOI 10.1016/S0022-1910(98)00101-2
   Goto SG, 2000, MOL PHYLOGENET EVOL, V15, P147, DOI 10.1006/mpev.1999.0727
   Harvey PH, 1991, COMP METHOD EVOLUTIO
   HIRAI T, 2000, J PLASMA FUSION RES, V3, P284
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   KIMURA M T, 1977, Kontyu, V45, P571
   KIMURA MT, 1994, J NAT HIST, V28, P401, DOI 10.1080/00222939400770181
   Kimura MT, 2004, OECOLOGIA, V140, P442, DOI 10.1007/s00442-004-1605-4
   KIMURA MT, 1988, EVOLUTION, V42, P1288, DOI [10.2307/2409012, 10.1111/j.1558-5646.1988.tb04188.x]
   KIMURA MT, 1993, ECOL ENTOMOL, V18, P141, DOI 10.1111/j.1365-2311.1993.tb01195.x
   KIMURA MT, 1984, PHYSIOL ENTOMOL, V9, P425, DOI 10.1111/j.1365-3032.1984.tb00784.x
   Kojima Kazuya, 2003, Entomological Science, V6, P135, DOI 10.1046/j.1343-8786.2003.00020.x
   KREBS RA, 1994, FUNCT ECOL, V8, P730, DOI 10.2307/2390232
   LINDQUIST S, 1988, ANNU REV GENET, V22, P631, DOI 10.1146/annurev.ge.22.120188.003215
   Lipp A, 2005, J EXP BIOL, V208, P707, DOI 10.1242/jeb.01434
   Loehle C, 1998, J BIOGEOGR, V25, P735, DOI 10.1046/j.1365-2699.1998.2540735.x
   MacArthur R.H., 1972, pvii
   Ohtsu T, 1998, EUR J BIOCHEM, V252, P608, DOI 10.1046/j.1432-1327.1998.2520608.x
   Ohtsu T, 1999, ENVIRON ENTOMOL, V28, P968, DOI 10.1093/ee/28.6.968
   PARSELL DA, 1993, ANNU REV GENET, V27, P437, DOI 10.1146/annurev.ge.27.120193.002253
   PURVIS A, 1995, COMPUT APPL BIOSCI, V11, P247
   SAKAI A, 1975, Japanese Journal of Ecology, V25, P101
   SAKAI A, 1973, ECOLOGY, V54, P118, DOI 10.2307/1934380
   SCHMIDTNIELSEN K, 1972, SCIENCE, V177, P222, DOI 10.1126/science.177.4045.222
   Suwito Awit, 2002, Entomological Science, V5, P399
   Toda MJ, 1997, J ANIM ECOL, V66, P154, DOI 10.2307/6018
   Wisco JJ, 1997, ECOL ENTOMOL, V22, P483, DOI 10.1046/j.1365-2311.1997.00085.x
NR 41
TC 5
Z9 6
U1 0
U2 7
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0024-4066
EI 1095-8312
J9 BIOL J LINN SOC
JI Biol. J. Linnean Soc.
PD FEB
PY 2007
VL 90
IS 2
BP 375
EP 380
DI 10.1111/j.1095-8312.2007.00738.x
PG 6
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA 131YW
UT WOS:000243909900013
OA Bronze
DA 2025-01-10
ER

PT J
AU Nguyen, KT
   Craparo, A
   Nguyen, PM
   Turreira-García, N
   Talsma, T
   Deniau, A
   Bossolasco, L
   Le, TD
   Bosselmann, AS
AF Nguyen, Kien Tri
   Craparo, Alessandro
   Nguyen, Phuong Minh
   Turreira-Garcia, Nerea
   Talsma, Tiffany
   Deniau, Aline
   Bossolasco, Laurent
   Le, Trung Dang
   Bosselmann, Aske Skovmand
TI ThIRST: Targeted IRrigation Support Tool for sustainable coffee
   production
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE irrigation efficiency; management practices; agricultural advisory;
   coffee production; climate change
ID VIETNAM; UNCERTAINTY; WEATHER
AB The Central Highlands of Vietnam is an important Robusta coffee growing region. However, the region is facing climate change impacts from rising temperatures and irregular rainfall, while Vietnamese coffee farmers predominantly rely on irrigation from heavily depleted aquifers. To continue productive and sustainable growth, this system requires an innovative approach to meet this hydrological challenge. Here we propose a user-friendly tool, which aims to support coffee farmers' irrigation decisions, through the Targeted Irrigation Support Tool or ThIRST. ThIRST combines seasonal forecasts, on-farm metrics, and farmer's expertise. The research comprises baseline (n = 400) and endline (n = 237) surveys of coffee farmers in D.k L.k and Lam D.ng Provinces. Through the surveys, farmers' irrigation needs and the applicability of the tool are evaluated. Despite low smartphone usage for farming advisory, the results show the tool allows coffee farmers to continually achieve water-use efficiency and adapt to climate variability. Involving farmers in the design, production and evaluation of climate services can improve the trust and uptake of agro-advisories and the way this information is communicated.
C1 [Nguyen, Kien Tri; Nguyen, Phuong Minh; Talsma, Tiffany] Int Ctr Trop Agr CIAT, Hanoi, Vietnam.
   [Craparo, Alessandro] Int Ctr Trop Agr CIAT, Cali, Colombia.
   [Turreira-Garcia, Nerea; Bosselmann, Aske Skovmand] Univ Copenhagen, Dept Food & Resource Econ, Copenhagen, Denmark.
   [Deniau, Aline; Bossolasco, Laurent] ECOM Agroind Corp Ltd, Ho Chi Minh City, Vietnam.
   [Le, Trung Dang] Real Time Analyt, Ho Chi Minh City, Vietnam.
C3 Alliance; International Center for Tropical Agriculture - CIAT;
   Alliance; International Center for Tropical Agriculture - CIAT;
   University of Copenhagen
RP Nguyen, KT (corresponding author), Int Ctr Trop Agr CIAT, Hanoi, Vietnam.
EM k.t.nguyen@cgiar.org
RI Turreira-Garcia, Nerea/E-1658-2015; Bosselmann, Aske
   Skovmand/D-8965-2015
OI Turreira-Garcia, Nerea/0000-0002-7746-3922; Bosselmann, Aske
   Skovmand/0000-0001-7764-5630
FU The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. The authors acknowledge
   support from the Nordic Climate Facility (no. NCF-C7-047) and
   collaborating partners University of Copenhagen, Re [NCF-C7-047]; Nordic
   Climate Facility; University of Copenhagen; Sustainable Management
   Services Vietnam
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. The authors acknowledge
   support from the Nordic Climate Facility (no. NCF-C7-047) and
   collaborating partners University of Copenhagen, Real-Time Analytics,
   and Sustainable Management Services Vietnam.
CR Amarasinghe UA, 2015, AGR SYST, V136, P96, DOI 10.1016/j.agsy.2015.02.008
   Baker P., 2017, Vietnam's central highlands' upland agriculture under pressure because of the looming effects of climate change-Focus on Robusta coffee
   Bell-Pasht K., 2015, Why Does Access to Good Climate Data Matter?
   Brofeldt S., 2018, Citizen Science: Theory and Practice, V3, P1, DOI DOI 10.5334/CSTP.129
   Byrareddy V, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100229
   Byrareddy V, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106350
   Cárdenas-Lailhacar B, 2012, T ASABE, V55, P581
   Christel I, 2018, CLIM SERV, V9, P111, DOI 10.1016/j.cliser.2017.06.002
   Coulier M., 2018, Actionability of climate services in southeast Asia: Findings from ACIS baseline surveys in Vietnam, Lao PDR and Cambodia
   Craparo ACW, 2021, INT J BIOMETEOROL, V65, P181, DOI 10.1007/s00484-020-02016-6
   D'haeze D, 2005, AGR WATER MANAGE, V73, P1, DOI 10.1016/j.agwat.2004.10.003
   D'haeze D, 2005, AGR ECOSYST ENVIRON, V105, P59, DOI 10.1016/j.agee.2004.05.009
   D'Haeze D., 2020, Transforming coffee and water use in the central highlands of Vietnam: Case study from Dak Lak Province
   D'Haeze D., 2019, Optimizing water use in the central highlands of Vietnam focus on the Robusta coffee sector in the Srepok Sesan river basins
   D'Haeze D., 2017, Good agricultural practices for Robusta coffee production
   DakLak Provincial People's Committee, 2015, About us
   An-Vo DA, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100234
   Tran DNL, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126603
   Evangelista AWP, 2013, ENG AGR-JABOTICABAL, V33, P269, DOI 10.1590/S0100-69162013000200006
   Fakhar M. S., 2021, J. Water Soil Resour. Conserv, V10, P49, DOI [10.30495/wsrcj.2021.18080, DOI 10.30495/WSRCJ.2021.18080]
   FAO, 2021, FAOSTAT STAT DAT
   FAO, 2017, Water for Sustainable Food and Agriculture Water for Sustainable Food and Agriculture
   Funk C, 2019, B AM METEOROL SOC, V100, pS55, DOI 10.1175/BAMS-D-18-0108.1
   Grosjean G., 2016, Increasing resilience to droughts in Viet Nam: The role of forests, agroforestry, and climate smart agriculture
   Haley MB, 2012, J IRRIG DRAIN ENG, V138, P135, DOI 10.1061/(ASCE)IR.1943-4774.0000391
   Havemann T., 2015, Steps Toward Green: Policy Responses to the Environmental Footprint of Commodity Agriculture in East and Southeast Asia, P99
   Hoang HG, 2020, CLIMATIC CHANGE, V162, P1127, DOI 10.1007/s10584-020-02827-x
   ico, 2020, International Coffee Organization-Trade Statistics Tables
   Kahsay G. A., 2022, Mobile internet use and climate adaptation: Empirical evidence from Vietnamese coffee farmers
   Kaila H, 2019, AGR ECON-BLACKWELL, V50, P675, DOI 10.1111/agec.12517
   Kam J, 2021, B AM METEOROL SOC, V102, pS45, DOI 10.1175/BAMS-D-20-0159.1
   Kath J, 2020, GLOBAL CHANGE BIOL, V26, P3677, DOI 10.1111/gcb.15097
   Keane T., 2001, Agro-meteorological modelling-Principles, data and applications, P254
   Koh I, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba471
   Lam Dong Foreign Affairs Department, 2020, About us
   Sen LTH, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100267
   Ling P., 2004, Assn. Flor. Prof. Bull, V886, P22
   MARD, 2016, Presentation on summary report on drought and SWI situation, impacts, and response plan for 2016-2020
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Milnes E., 2015, Vietnam to produce more coffee with less water-towards a reduction of the blue water footprint in coffee production-hydrogeological study of the basaltic plateau in Dak Lak province, Vietnam
   Nguyen H. T. T., 2016, VNU J. Sci. Soc. Sci. Humanit., V32
   Nguyen P. L., 2018, J. Agric. Environ. Sci, V2018, DOI [10.20944/preprints201812.0337.v1, DOI 10.15640/JAES]
   Nguyen Q., 2005, Evaluating drought situation and analysis drought events by drought indices
   Nkiaka E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4dfe
   OECD, 2017, Water and agriculture
   Oukaira A, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11091881
   Oweis T., 1999, Water harvesting and supplementary irrigation for improved water use efficiency in dry areas
   Palmer TN, 2000, REP PROG PHYS, V63, P71, DOI 10.1088/0034-4885/63/2/201
   Portner H.-O., 2022, IPCC, 2022: Climate Change 2022: Impacts, Adaptation
   Scherer T., 1996, SOIL WATER PLANT CHA
   Sharma V., 2019, Soil moisture sensors for irrigation scheduling
   Simelton E, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11100953
   Slingo J, 2011, PHILOS T R SOC A, V369, P4751, DOI 10.1098/rsta.2011.0161
   Sustainable Coffee Challenge, 2017, Coffee production in the face of climate
   Tall A., 2014, Scaling up climate services for farmers: Learning from good practice in Africa and South Asia
   Tall A., 2015, What Do We Mean by Climate Services?
   Technoserve, 2013, Vietnam: a business case for sustainable coffee production
   Theilade I, 2021, GEOGRAPHIC CITIZEN SCIENCE DESIGN, P266
   Thi T.P., 2014, World J. Agric. Res, V2, P205, DOI [10.12691/wjar-2-5-2, DOI 10.12691/WJAR-2-5-2]
   Ho TQ, 2017, ECON ANAL POLICY, V56, P114, DOI 10.1016/j.eap.2017.09.002
   Trinh T. Q., 2018, Farmer demand for climate services: Survey results from Ha Tinh province, Vietnam
   Nguyen TT, 2022, ECOL ECON, V196, DOI 10.1016/j.ecolecon.2022.107417
   Vandecasteele I, 2018, SUSTAIN DEV, V26, P122, DOI 10.1002/sd.1723
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Visscher K, 2020, CLIM SERV, V17, DOI 10.1016/j.cliser.2019.100136
   Wang W, 2019, AGR WATER MANAGE, V212, P226, DOI 10.1016/j.agwat.2018.09.007
   World Bank, 2017, Toward integrated disaster risk management in Vietnam. Recommendations based on the drought and saltwater intrusion crisis and the case for investing in longer-term resilience-overview
   World Bank Group, 2019, Individuals using the Internet (% of population) -Vietnam|Data
   Zheng YY, 2022, J INTEGR AGR, V21, P282, DOI 10.1016/S2095-3119(21)63750-4
NR 69
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 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD OCT 25
PY 2023
VL 7
AR 1267388
DI 10.3389/fsufs.2023.1267388
PG 10
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA X2OG1
UT WOS:001096894600001
OA gold
DA 2025-01-10
ER

PT J
AU Thomas, AM
   Coggeshall, MV
   O'Connor, PA
   Nelson, CD
AF Thomas, Austin M.
   Coggeshall, Mark V.
   O'Connor, Philip A.
   Nelson, C. Dana
TI Climate Adaptation in White Oak (<i>Quercus alba</i>, L.): A Forty-Year
   Study of Growth and Phenology
SO FORESTS
LA English
DT Article
DE white oak; Quercus alba; provenance test; common garden; phenology;
   assisted migration; climate change; tree growth
ID EASTERN NORTH-AMERICA; FORESTS
AB Climate change poses a significant threat to the resilience and sustainability of forest ecosystems. This study examines the performance of white oak (Quercus alba, L.) across a range of provenances in a common garden planting, focusing on the species' response to climatic variables and the potential role of assisted migration in forest management. We evaluated the survival and growth rates of white oak provenances originating from various points along a latitudinal gradient over a period of 40 years. These provenances were planted in a common garden situated near the midpoint of this latitudinal gradient, where we also monitored their phenological traits, such as budburst and leaf senescence. The results revealed substantial variation in phenological responses and growth patterns among the provenances, with southern provenances demonstrating faster growth and later senescence relative to local sources, with limited impact on survival. In contrast, the northern provenances demonstrated slower growth, resulting in later-aged competition-induced mortality. The findings highlight the necessity of incorporating genetic diversity into white oak reforestation and conservation strategies, as the local provenance may no longer be the most suitable option for current and future conditions. We advocate for a nuanced approach to forest management that leverages genetic insights to optimize seed source selection for reforestation, fostering resilient forest landscapes in the face of ongoing climate shifts.
C1 [Thomas, Austin M.] USDA Forest Serv, Oak Ridge Inst Sci & Educ ORISE, Forest Hlth Res & Educ Ctr, Southern Res Stn, Lexington, KY 40546 USA.
   [Coggeshall, Mark V.] Univ Missouri, Sch Nat Resources, Columbia, MO 65211 USA.
   [Coggeshall, Mark V.] USDA Forest Serv, Hardwood Tree Improvement & Regenerat Ctr, Northern Res Stn, W Lafayette, IN 47907 USA.
   [O'Connor, Philip A.] Indiana Div Forestry, Vallonia Tree Seedling Nursery, Vallonia, IN 47281 USA.
   [Nelson, C. Dana] USDA Forest Serv, Forest Hlth Res & Educ Ctr, Southern Res Stn, Lexington, KY 40546 USA.
   [Nelson, C. Dana] USDA Forest Serv, Southern Res Stn, Southern Inst Forest Genet, Saucier, MS 39574 USA.
C3 Oak Ridge Associated Universities; United States Department of Energy
   (DOE); Oak Ridge Institute for Science & Education; United States
   Department of Agriculture (USDA); United States Forest Service;
   University of Missouri System; University of Missouri Columbia; United
   States Department of Agriculture (USDA); United States Forest Service;
   United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service
RP Thomas, AM (corresponding author), USDA Forest Serv, Oak Ridge Inst Sci & Educ ORISE, Forest Hlth Res & Educ Ctr, Southern Res Stn, Lexington, KY 40546 USA.; Nelson, CD (corresponding author), USDA Forest Serv, Forest Hlth Res & Educ Ctr, Southern Res Stn, Lexington, KY 40546 USA.; Nelson, CD (corresponding author), USDA Forest Serv, Southern Res Stn, Southern Inst Forest Genet, Saucier, MS 39574 USA.
EM austin.thomas@uky.edu; coggeshallm@missouri.edu; poconnor@dnr.in.gov;
   charles.d.nelson@usda.gov
OI Thomas, Austin/0000-0002-1485-7676; Nelson, Charles
   Dana/0000-0003-0871-4019
FU United States Forest Service (USFS); Lee Grace, Maeve Draper; University
   of Kentucky Wood Utilization Center
FX We thank Carolyn Pike, Jim Warren, Lee Grace, Maeve Draper, and Michael
   Rich for their help with fieldwork as well as Michael Rich and John
   Lhotka for their help with dendrochronology measurements. We also thank
   the Indiana Division of Forestry for providing access to the study
   planting and historical data related to the project, and the University
   of Kentucky Wood Utilization Center (Quicksand, KY) for producing the
   increment core mounting blocks.
CR Abrams MD, 2003, BIOSCIENCE, V53, P927, DOI 10.1641/0006-3568(2003)053[0927:WHATWO]2.0.CO;2
   Abrams MD, 1996, ANN SCI FOREST, V53, P487, DOI 10.1051/forest:19960230
   ABRAMS MD, 1992, BIOSCIENCE, V42, P346, DOI 10.2307/1311781
   [Anonymous], Climate Data Online Search. Climate Data Online (CDO) | National Climatic Data Center (NCDC)
   [Anonymous], 2017, Climate Science Special Report, P1, DOI DOI 10.7930/J0J964J6
   Canetti A, 2021, ANN FOREST SCI, V78, DOI 10.1007/s13595-021-01079-8
   Cavender-Bares J, 2019, NEW PHYTOL, V221, P669, DOI 10.1111/nph.15450
   Clair B.S., 2009, West. For, V54, P9
   Cole EF, 2017, ECOL EVOL, V7, P1135, DOI 10.1002/ece3.2718
   DeWald L.E., 2021, P P 36 SO FOREST TRE
   Dey DC, 2014, FOREST SCI, V60, P926, DOI 10.5849/forsci.13-114
   Dhungel G, 2024, J FOREST, V122, P79, DOI 10.1093/jofore/fvad041
   Dhungel G, 2023, J FOREST, V121, P224, DOI 10.1093/jofore/fvad005
   Fralish J. S., 2004, General Technical Report - Southern Research Station, USDA Forest Service, P78
   FRITTS HC, 1959, ECOLOGY, V40, P261, DOI 10.2307/1930037
   Global Modeling and Assimilation Office (GMAO), 2015, MERRA-2: 2d,1-inst1_2d_asm_Nx, Hourly, Instantaneous, Single-Level, Assimilation, Single-Level Diagnostics
   Gustafson EJ, 2023, FOREST ECOL MANAG, V529, DOI 10.1016/j.foreco.2022.120723
   Hanberry B.B., 2023, Current and Future Plant Hardiness Zones for the Conterminous United States
   Jordi G, 2022, OENO ONE, V56, P243, DOI 10.20870/oeno-one.2022.56.3.5551
   Knapp BO, 2018, FORESTS, V9, DOI 10.3390/f9100633
   Lawrimore J., 2016, Global Summary of the Month
   Leites LP, 2012, NAT RESOUR MODEL, V25, P409, DOI 10.1111/j.1939-7445.2012.00129.x
   Little E.L., 1971, Atlas of United States Trees, Volume 1, Conifers and Important Hardwoods, V1
   Liu Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02690-y
   Manos PS, 2021, FORESTS, V12, DOI 10.3390/f12060786
   Martínez-Gil A, 2018, BEVERAGES, V4, DOI 10.3390/beverages4040094
   Matthews S. N., 2018, ASSESSING POTENTIAL, DOI [10.2737/NRS-RMAP-9, DOI 10.2737/NRS-RMAP-9]
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Miller KM, 2018, GLOBAL ECOL BIOGEOGR, V27, P57, DOI 10.1111/geb.12671
   Nordt B, 2021, FUNCT ECOL, V35, P821, DOI 10.1111/1365-2435.13747
   Pinheiro J., 2023, The R Core Team nlme: Linear and Nonlinear Mixed Effects Models
   Poupon V, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.758221
   Saleh D, 2022, EVOL LETT, V6, P4, DOI 10.1002/evl3.269
   Schumacher F. X., 1939, Journal of Forestry, V37, P819
   Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture, Web Soil Survey
   Team RC, 2021, R LANGUAGE ENV STAT
   White Oak Initiative, Assessment & Conservation Plan
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
NR 40
TC 0
Z9 0
U1 3
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAR
PY 2024
VL 15
IS 3
AR 520
DI 10.3390/f15030520
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA ME6E4
UT WOS:001191981500001
OA gold
DA 2025-01-10
ER

PT J
AU Peng, B
AF Peng, Bin
TI Development of New Spray Dust Suppression Materials in Metal Mines and
   Prediction of Algorithm Simulation Effect
SO EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS
LA English
DT Article
DE Spray Dust Suppression; Computational Fluid Dynamics; Metal Mining;
   Algorithm Simulation
AB PROBLEM: Dust contamination in metal mining poses substantial dangers to environmental quality and human health. Modern mining operations cannot use traditional spray dust suppression methods because they are poorly adapted to changing climate conditions, low efficient, and detrimental to the environment. INTRODUCTION: Dust pollution seriously impacts the environment and human health in metal mine operations. Traditional spray dust suppression technology has many problems, such as limited effect, environmental impact, and poor climate adaptability. OBJECTIVES: The purpose of this article is to develop a new type of spray dust suppression material and predict its dust suppression effect through algorithm simulation. Firstly, efficient and environmentally friendly dust-reducing materials were screened, and after evaluating the dust-reducing effect under laboratory conditions, the optimal material combination was determined. METHODS: Using computational fluid dynamics (CFD), a numerical model of the spray process was constructed to simulate the dust suppression effect of different materials under different climatic conditions. RESULTS: The results show that the highest dust reduction efficiency of the new spray dust reduction material is more than 4.3% higher than that of the traditional material, and it shows good stability. CONCLUSION: The new spray dust control material and its effect prediction method studied in this article provide an effective solution for dust control in metal mines, which has important theoretical value and practical application prospects.
C1 [Peng, Bin] Hunan Inst Technol, Sch Safety & Management Engn, Hengyang 421002, Peoples R China.
C3 Hunan Institute of Technology
RP Peng, B (corresponding author), Hunan Inst Technol, Sch Safety & Management Engn, Hengyang 421002, Peoples R China.
EM bin_peng90@outlook.com
FU Provincial Natural Science Regional Joint Foundation of Hunan,Mechanism
   of Enhanced Spray Dust Suppression by Surfactant-Magnetized Water for
   Heading Face of Nonferrous Metal Mine [,2023JJ50112]
FX Funding: 1. Provincial Natural Science Regional Joint Foundation of
   Hunan,Mechanism of Enhanced Spray Dust Suppression by
   Surfactant-Magnetized Water for Heading Face of Nonferrous Metal
   Mine,2023JJ50112;
CR Bennati L, 2023, CARDIOVASC ENG TECHN, V14, P457, DOI 10.1007/s13239-023-00665-3
   Chen S, 2001, METALL MATER TRANS B, V32, P11, DOI 10.1007/s11663-001-0002-1
   GARFIELD E, 1972, CURR CONTENTS, V15, P5
   Hou J, 2023, PROCESS SAF ENVIRON, V176, P131, DOI 10.1016/j.psep.2023.06.009
   Jaksch D, 2023, AIAA J, V61, P1885, DOI 10.2514/1.J062426
   Li XX, 2022, J AIR WASTE MANAGE, V72, P1442, DOI 10.1080/10962247.2022.2120564
   Mani M, 2023, ANNU REV FLUID MECH, V55, P431, DOI 10.1146/annurev-fluid-120720-124800
   Marcato A, 2022, IND ENG CHEM RES, V61, P8530, DOI 10.1021/acs.iecr.1c04760
   Nandiyanto ABD, 2023, CFD Lett, V15, P92
   Qi AA, 2023, ECOTOX ENVIRON SAFE, V265, DOI 10.1016/j.ecoenv.2023.115494
   Raj K G., 2024, 2024 2 INT C DAT SCI
   Sidik NAC, 2024, J Adv Res Micro Nano Eng., V21, P16
   Soodmand AM, 2023, J THERM ANAL CALORIM, V148, P10595, DOI 10.1007/s10973-023-12438-0
   Szpicer A, 2023, EUR FOOD RES TECHNOL, V249, P1411, DOI 10.1007/s00217-023-04231-y
   Van Hoecke L, 2023, CAN J CHEM ENG, V101, P545, DOI 10.1002/cjce.24571
   Vinuesa R, 2022, NAT COMPUT SCI, V2, P358, DOI 10.1038/s43588-022-00264-7
   Yu ZQ, 2019, INT J DISTRIB SYST T, V10, P1, DOI 10.4018/IJDST.2019010101
   Zhang SX, 2013, PROCEEDINGS OF 2013 IEEE INTERNATIONAL CONFERENCE ON MEDICAL IMAGING PHYSICS AND ENGINEERING (ICMIPE), P1, DOI 10.1109/ICMIPE.2013.6864491
   Zhao GY, 2009, MATER SCI FORUM, V620-622, P5, DOI 10.4028/www.scientific.net/MSF.620-622.5
NR 19
TC 0
Z9 0
U1 0
U2 0
PU INST COMPUTER SCIENCES, SOCIAL INFORMATICS & TELECOMMUNICATIONS ENG-ICST
PI GHENT
PA BEGIJNHOFLAAN 93, GHENT, 90000, BELGIUM
SN 2032-9407
J9 EAI ENDORSED TRANS S
JI EAI Endorsed Trans. Scalable Inform. Syst.
PY 2024
VL 12
IS 1
AR 6990
DI 10.4108/eetsis.6990
PG 10
WC Computer Science, Information Systems
WE Emerging Sources Citation Index (ESCI)
SC Computer Science
GA Q0Y8T
UT WOS:001382058100005
OA gold
DA 2025-01-10
ER

PT J
AU Danielescu, S
   Adamescu, MC
   Cheval, S
   Dumitrescu, A
   Cazacu, C
   Borcan, M
   Postolache, C
AF Danielescu, Serban
   Adamescu, Mihai Cristian
   Cheval, Sorin
   Dumitrescu, Alexandru
   Cazacu, Constantin
   Borcan, Mihaela
   Postolache, Carmen
TI Climate Change Impacts on Hydrological Processes in a South-Eastern
   European Catchment
SO WATER
LA English
DT Article
DE catchment; climate change; hydrological modeling; LTSER; southeastern
   Europe; SWAT
ID WATER-QUALITY MODEL; SWAT; CALIBRATION; RESOURCES; ECOSYSTEM; CYCLE
AB The output extracted from CNRM, MPR, and ICHEC Global Circulation Models for RCP 4.5 and RCP 8.5 Representative Concentration Pathways has been used in conjunction with the SWAT model for evaluating the impacts of future climate changes on hydrological processes in a Romanian catchment (Neajlov, 3720 km(2) area) in the short (2021-2050) and long term (2071-2100). During the growing season, precipitation will decrease by up to 7.5% and temperature will increase by up to 4.2 degrees C by 2100. For the long term (2071-2100), the decrease in soil water content (i.e., 14% under RCP 4.5 and 21.5% under RCP 8.5) and streamflow (i.e., 4.2% under RCP 4.5 and 9.7% under RCP 8.5) during the growing season will accentuate the water stress in an already water-deficient area. The snow amount will be reduced under RCP 8.5 by more than 40% for the long term, consequently impacting the streamflow temporal dynamics. In addition, our results suggest that hydrological processes in the lower portions of the catchment are more sensitive to climate change. This study is the first Romanian catchment-scale study of this nature, and its findings support the development of tailored climate adaptation strategies at local and regional scales in Romania or elsewhere.
C1 [Danielescu, Serban] Environm & Climate Change Canada, Fredericton Res & Dev Ctr, 95 Innovat Rd, Fredericton, NB E3B 4Z7, Canada.
   [Danielescu, Serban] Agr & Agri Food Canada, 95 Innovat Rd, Fredericton, NB E3B 4Z7, Canada.
   [Danielescu, Serban] Environm & Climate Change Canada, Canada Ctr Inland Waters, 867 Lakeshore Rd, Burlington, ON L7S 1A1, Canada.
   [Adamescu, Mihai Cristian; Cazacu, Constantin; Postolache, Carmen] Univ Bucharest, Res Ctr Syst Ecol & Sustainabil, Splaiul Independentei 91-95, Bucharest 050107, Romania.
   [Cheval, Sorin; Dumitrescu, Alexandru] Natl Meteorol Adm, Dept Climatol, 97 Bucuresti Ploiesti Rd, Bucharest 013686, Romania.
   [Cheval, Sorin] Babes Bolyai Univ, Fac Geog, Doctoral Sch Geog, 5-7 Clin St, Cluj Napoca 400006, Romania.
   [Borcan, Mihaela] Natl Inst Hydrol & Water Management, Dept Hydrol Surface Water Studies, 97 Bucuresti Ploiesti Rd, Bucharest 013686, Romania.
C3 Environment & Climate Change Canada; Agriculture & Agri Food Canada;
   Environment & Climate Change Canada; Canada Centre for Inland Waters
   (CCIW); University of Bucharest; Babes Bolyai University from Cluj
RP Adamescu, MC (corresponding author), Univ Bucharest, Res Ctr Syst Ecol & Sustainabil, Splaiul Independentei 91-95, Bucharest 050107, Romania.
EM serban.danielescu@ec.gc.ca; mihaicristian.adamescu@g.unibuc.ro;
   sorin.cheval@meteoromania.ro; dumitrescu@meteoromania.ro;
   constantin.cazacu@g.unibuc.ro; mihaela.borcan@hidro.ro;
   carmen.postolache@bio.unibuc.ro
RI Cazacu, Constantin/AAD-7419-2019; Adamescu, Cristian
   Mihai/AFX-5768-2022; Postolache, Carmen/A-4057-2010; Dumitrescu,
   Alexandru/B-4192-2011; Adamescu, Cristian Mihai/C-9310-2015; Cheval,
   Sorin/B-4506-2011
OI Postolache, Carmen/0000-0002-1646-9765; Dumitrescu,
   Alexandru/0000-0002-3361-483X; Danielescu, Serban/0000-0001-8555-9708;
   Adamescu, Cristian Mihai/0000-0002-3056-8444; Cheval,
   Sorin/0000-0001-6412-1918
FU eLTER Plus (Advanced Community Project for the eLTER (Integrated
   European Long-Term Ecosystem, critical zone and socio-ecological
   Research)) [871128]
FX This research was funded by eLTER Plus (Advanced Community Project for
   the eLTER (Integrated European Long-Term Ecosystem, critical zone and
   socio-ecological Research)) grant number 871128.
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2018, WATER-SUI, V10, DOI 10.3390/w10010006
   Administratia Nationala Apele Romane (ANAR), PROIECT PLAN MAN ACT, P411
   Ahl RS, 2008, J AM WATER RESOUR AS, V44, P1411, DOI 10.1111/j.1752-1688.2008.00233.x
   Alley R.B., 2007, Climate Change 2007: The Physical Science Basis
   [Anonymous], 2013, SWAT-CUP 2012. SWAT Calibration and Uncertainty Program-A User Manual
   [Anonymous], 2020, DAIL MEAS DISCH MOAR
   [Anonymous], 2014, RAPP JUD PRIV STAR M
   [Anonymous], 2020, DAIL MET DAT VID STA
   [Anonymous], 1978, FAO UN SOIL TNAP WOR
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold J.G., 2012, Soil and water assessment tool input/output documentation, P1
   Bär R, 2015, ENVIRON SCI POLICY, V46, P57, DOI 10.1016/j.envsci.2014.04.008
   Beek T.A., 2012, PROBLEMS PERSPECTIVE, P427
   Blaschke A., 2003, DANUBS REPORT WATER, P155
   Boorman DB, 2003, SCI TOTAL ENVIRON, V314, P411, DOI 10.1016/S0048-9697(03)00066-4
   Busuioc A., 2010, ROM J METEOROL, V10, P19
   cerkasova N, 2018, ECOL ENG, V124, P99, DOI 10.1016/j.ecoleng.2018.09.025
   Cuculeanu V., 2002, GeoJournal, V57, P203, DOI 10.1023/B:GEJO.0000003613.15101.d9
   Dayon G, 2018, CR GEOSCI, V350, P141, DOI 10.1016/j.crte.2018.03.001
   Didovets I, 2017, WATER-SUI, V9, DOI 10.3390/w9030204
   Donnelly C, 2017, CLIMATIC CHANGE, V143, P13, DOI 10.1007/s10584-017-1971-7
   Dosio A., 2018, **DATA OBJECT**
   European Environment Agency (EEA), 2012, COP LAND SERV CLC PA
   Fadeyi O, 2020, CLIMATE, V8, DOI 10.3390/cli8060066
   Fetting C., 2020, ESDN Report
   Freund ER, 2017, WATER-SUI, V9, DOI 10.3390/w9080598
   Grecu F., 2011, International Journal of Physical Sciences, V6, P7055
   Greuell W., 2015, Hydrology and Earth System Sciences Discussions, V12, P10289, DOI 10.5194/hessd-12-10289-2015
   Gudmundsson L, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010911
   Guteascu M., 2018, ANNEX 7 APPL BOTTOM, P70
   Heino R, 1999, CLIMATIC CHANGE, V42, P151, DOI 10.1023/A:1005420400462
   Howarth C, 2016, PALGR COMMUN, V2, DOI 10.1057/palcomms.2016.58
   Karabulut A, 2016, ECOSYST SERV, V17, P278, DOI 10.1016/j.ecoser.2015.08.002
   Kiesel J, 2019, ECOL ENG, V127, P404, DOI 10.1016/j.ecoleng.2018.12.019
   Kovats RS, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1267
   Krysanova V., 2000, SWIM (Soil and Water Integrated Model) User's Manual
   Lehmann A, 2015, ENVIRON SCI POLICY, V46, P1, DOI 10.1016/j.envsci.2014.02.005
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mirtl M., 2013, Long term socio-ecological research: studies in society-nature interactions across spatial and temporal scales, P409, DOI 10.1007/978-94-007-1177-8_17
   Mitrica B, 2017, NORSK GEOGR TIDSSKR, V71, P12, DOI 10.1080/00291951.2017.1289977
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Pisota I., 2003, COMUNIC RI GEOGRAFIE, V7, P183
   Remesan R, 2014, HYDROL PROCESS, V28, P3241, DOI 10.1002/hyp.9872
   Singh VP, 2018, GEOSCI LETT, V5, DOI 10.1186/s40562-018-0113-z
   Sood A, 2015, HYDROLOG SCI J, V60, P549, DOI 10.1080/02626667.2014.950580
   Spruill CA, 2000, T ASAE, V43, P1431, DOI 10.13031/2013.3041
   Stefanidis SP, 2021, J ENVIRON PROT ECOL, V22, P1488
   United Nations Climate Change (UNCC), ANN REP 2020
   Verzano K., 2009, THESIS U KASSEL KASS
   Winchell M., 2013, ArcSWAT Interface for SWAT2012: Users guide, P464
   Yang DW, 2021, GEOGR SUSTAIN, V2, P115, DOI 10.1016/j.geosus.2021.05.003
   ,, 2017, EEA Report
NR 53
TC 2
Z9 2
U1 1
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2022
VL 14
IS 15
AR 2325
DI 10.3390/w14152325
PG 19
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 3R6KN
UT WOS:000839019200001
OA gold
DA 2025-01-10
ER

PT J
AU Jonkman, A
   Meijer, R
   Hartmann, T
AF Jonkman, Arend
   Meijer, Rick
   Hartmann, Thomas
TI Land for housing: Quantitative targets and qualitative ambitions in
   Dutch housing development
SO LAND USE POLICY
LA English
DT Article
DE Housing development; Land policy; Value conflicts; Policy analysis;
   Policy performance
ID CITIES; SUSTAINABILITY; DENSIFICATION; NETHERLANDS; PERFORMANCE;
   CHALLENGES; STRATEGIES; VALUES; POLICY
AB The struggle of cities to achieve quantitative housing objectives can partly be explained by the struggle to cope with increasing value conflicts with other (qualitative) policy objectives, including the realization of affordable housing, climate adaptive areas, inclusive neighborhoods, and high-quality public spaces. In public debate in the Netherlands, too high ambitions and a 'piling-up' of policy objectives are often mentioned as causes of non-conformance of quantitative housing objectives. However, despite such non-conformance, a plan or policy may still function well by informing the decision-making process and invoking scrutiny of conflicting objectives. This paper aims to understand how municipalities cope with the implementation of housing developments with pluralistic policy objectives. Therefore, the performance of the policy objective to accelerate the production of housing is studied by exploring how value conflicts between this quantitative and qualitative objectives are addressed. A survey among Dutch municipalities and two additional in-depth case studies reveal that the non-conformance of the acceleration of the housing production not only results from exogenous processes, but is also a result of accumulating policy decisions favouring qualitative ambitions. The case studies reveal that municipalities especially struggle with trade-offs between qualitative and quantitative objectives. This result shows the relevance of additional research that focus on value conflicts in public policy implementation processes.
C1 [Jonkman, Arend] Delft Univ Technol, Dept Management Built Environm, Delft, Netherlands.
   [Meijer, Rick] Univ Utrecht, Human Geog & Spatial Planning, Utrecht, Netherlands.
   [Hartmann, Thomas] TU Dortmund Univ, Sch Spatial Planning, Dortmund, Germany.
   [Hartmann, Thomas] Univ JE Purkyne, Fac Social & Econ Studies, Usti Nad Labem, Czech Republic.
C3 Delft University of Technology; Utrecht University; Dortmund University
   of Technology; University of Jan Evangelista Purkyne
RP Jonkman, A (corresponding author), Delft Univ Technol, Dept Management Built Environm, Delft, Netherlands.
EM a.r.jonkman@tudelft.nl; rick@stadkwadraat.nl;
   thomas.hartmann@tu-dortmund.de
RI Meijer, Rick/AAV-3098-2021; Hartmann, Thomas/I-2479-2017
FU Dutch National Science Foundation NWO [438.17.158]
FX The research is based on the Grond voor Wonen [Land for housing]
   research project at Wageningen University and Research, funded by the
   Dutch National Science Foundation NWO (438.17.158).
CR ABF Research, 2019, PRIM 2019 PROGN BEV
   Amundsen H, 2018, CURR OPIN ENV SUST, V31, P23, DOI 10.1016/j.cosust.2017.12.004
   [Anonymous], 2013, HOUSING BOMB
   Blessing A, 2012, HOUSING STUD, V27, P189, DOI 10.1080/02673037.2012.649469
   Broitman D, 2015, COMPUT ENVIRON URBAN, V54, P32, DOI 10.1016/j.compenvurbsys.2015.05.006
   Buitelaar E, 2016, EUR PLAN STUD, V24, P1281, DOI 10.1080/09654313.2016.1168785
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   Campbell SD, 2016, J AM PLANN ASSOC, V82, P388, DOI 10.1080/01944363.2016.1214080
   CBS Statistics Netherlands, 2021, VOORR WON STAND MUT
   Claassens J, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0240738
   Claassens Jip, 2017, ROM MAANDBLAD RUIMTE, V35, P18
   Debrunner G, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104993
   Dierwechter Y, 2014, URBAN GEOGR, V35, P691, DOI 10.1080/02723638.2014.916905
   Dignum M, 2016, SCI ENG ETHICS, V22, P1171, DOI 10.1007/s11948-015-9685-6
   Drie Partijen Overleg 's -Hertogenbosch, 2016, SOC WOON S HERT, P44
   Elsinga M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051920
   Ferrari E, 2012, INT J HOUS POLICY, V12, P263, DOI 10.1080/14616718.2012.709668
   Gerber JD, 2017, ENVIRON PLANN A, V49, P1684, DOI 10.1177/0308518X17701916
   Godschalk DR, 2004, J AM PLANN ASSOC, V70, P5, DOI 10.1080/01944360408976334
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Hartmann T, 2015, LAND USE POLICY, V42, P729, DOI 10.1016/j.landusepol.2014.10.004
   Janssen-Jansen L., 2016, Administration, V64, P23, DOI DOI 10.1515/ADMIN-2016-0023
   Jonkman A, 2018, HOUS THEORY SOC, V35, P353, DOI 10.1080/14036096.2017.1348392
   Kip H.P., 2020, TROUW
   Knoepfel P., 2011, PUBLIC POLICY ANAL
   Langford JW, 2004, CAN PUBLIC ADMIN, V47, P429, DOI 10.1111/j.1754-7121.2004.tb01187.x
   Lin Zhaoyan, 2021, INT J ENV RES PUB HE, V9, P595, DOI [10.3390/plants9020192, DOI 10.3390/IJERPH17145190, 10.3390/microorganisms9030595]
   Marquard E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12198269
   Mastop H, 1997, ENVIRON PLANN B, V24, P815, DOI 10.1068/b240815
   Municipality of 's -Hertogenbosch, 2017, WOON 2017 2018
   Municipality of 's -Hertogenbosch, 2017, PREST 2017 S HERT
   Needham B, 1997, ENVIRON PLANN B, V24, P871, DOI 10.1068/b240871
   Needham B., 2018, PLANNING LAW EC RULE
   Nicol LA, 2014, BUILD RES INF, V42, P229, DOI 10.1080/09613218.2014.862162
   Nieland E., 2019, ROOILIJN, V52, P26
   Ozogul S, 2020, J PLAN LIT, V35, P475, DOI 10.1177/0885412220944919
   Roodbol-Mekkes PH, 2015, ENVIRON PLANN C, V33, P184, DOI 10.1068/c12134
   Roodbol-Mekkes PH, 2012, ENVIRON PLANN A, V44, P377, DOI 10.1068/a44162
   Scharpf FritzW., 1999, GOVERNING EUROPE EFF
   Shahab S, 2021, EUR PLAN STUD, V29, P1132, DOI 10.1080/09654313.2020.1817867
   Shahab S, 2019, ENVIRON PLAN B-URBAN, V46, P534, DOI 10.1177/2399808317720446
   Tasan-Kok T, 2013, REG STUD, V47, P628, DOI 10.1080/00343404.2011.581654
   Van der Cammen H., 2012, The Selfmade Land, Culture and Evolution of Urban and Regional Planning in the Netherlands
   Van der Molen F., 2019, LANGE WEG NAAR CIRCU
   van Oosten T, 2018, LAND USE POLICY, V77, P829, DOI 10.1016/j.landusepol.2017.10.029
   Vining A.R., 2015, INT ENCY SOCIAL BEHA, V2nd, P273
   Webb J, 2016, CITIES, V54, P28, DOI 10.1016/j.cities.2015.10.014
   Woestenburg AK, 2018, LAND USE POLICY, V77, P801, DOI 10.1016/j.landusepol.2017.02.020
NR 48
TC 5
Z9 5
U1 2
U2 10
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 2022
VL 114
AR 105957
DI 10.1016/j.landusepol.2021.105957
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6D8EO
UT WOS:000882918000009
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Zhang, S
   Ma, YX
   Li, D
   Liu, CY
   Yang, RT
AF Zhang, Shu
   Ma, Yuxin
   Li, Dong
   Liu, Changyu
   Yang, Ruitong
TI Thermal performance of a reversible multiple-glazing roof filled with
   two PCM
SO RENEWABLE ENERGY
LA English
DT Article
DE Thermal performance; Energy saving; Multiple-glazing roof; PCM; Low-e
   glass
ID PHASE-CHANGE MATERIALS; ENERGY PERFORMANCE; WALL; WINDOW; GLASS;
   BUILDINGS; TECHNOLOGIES; SIMULATION; BEHAVIOR
AB Glazed roofs are increasingly used in modern buildings. Integrating multiple-glazing envelope with PCM as a passive solar utilization system can reduce energy consumption of building by latent heat storage. However, the traditional PCM-filled glazed envelope still has a poor thermal performance and thermal regulation as well as climate adaptability. In this work, an innovative reversible multiple-glazing roof integrated with two PCM, silica aerogel and low-e glass was proposed and a numerical study was performed to explore its thermal performance across the season in cold climate (Daqing, China). The new roof with and without low-e glass were investigated, and compared with the traditional air-filled multiple-glazing roof. The influence of melting temperature and thickness proportion of two PCM on thermal performance of the roof was analyzed. And an energy-economy comparison between the new roof and the traditional roof in full life was performed. The results indicate that the new glazed roof can provide excellent thermal performance in both summer and winter, and has the economic feasibility. Taking the traditional roof as a reference, the energy saving rate can achieve 14.08% in summer and 33.74% in winter, respectively, and the total cost is saved 217 Yuan/m(2) in full life. (C) 2021 Elsevier Ltd. All rights reserved.
C1 [Zhang, Shu] Guilin Univ Elect Technol, Sch Architecture & Transportat Engn, Guilin 541200, Peoples R China.
   [Zhang, Shu; Ma, Yuxin; Li, Dong; Liu, Changyu; Yang, Ruitong] Northeast Petr Univ, Sch Architecture & Civil Engn, Fazhan Lu St, Daqing 163318, Peoples R China.
C3 Guilin University of Electronic Technology; Northeast Petroleum
   University
RP Li, D (corresponding author), Northeast Petr Univ, Sch Architecture & Civil Engn, Fazhan Lu St, Daqing 163318, Peoples R China.
EM lidonglvyan@126.com
RI Ma, Yuxin/JWQ-0624-2024; Yang, Ruitong/KEI-2178-2024
OI Li, Dong/0000-0002-2692-9091; Yang, Ruitong/0000-0002-8442-0445
FU National Science Foundation of China, China [52078110]; Natural Science
   Foundation of Heilongjiang Province, China [LH2021E022]; Scientific
   Project of Ministry of Housing and Urban-Rural Development of China,
   China [2020-K-184, 2021-K-160]
FX This investigation was financially supported by the National Science
   Foundation of China, China (52078110), the Natural Science Foundation of
   Heilongjiang Province, China (LH2021E022), and the Scientific Project of
   Ministry of Housing and Urban-Rural Development of China, China
   (2020-K-184, 2021-K-160).
CR Abdallah ASH, 2021, AIN SHAMS ENG J, V12, P3241, DOI 10.1016/j.asej.2021.03.003
   Alam M, 2014, ENERG BUILDINGS, V78, P192, DOI 10.1016/j.enbuild.2014.04.027
   Barzin R, 2016, APPL ENERG, V163, P9, DOI 10.1016/j.apenergy.2015.11.016
   Berthou Y, 2015, SOL ENERGY, V115, P733, DOI 10.1016/j.solener.2015.03.038
   Cao XD, 2016, ENERG BUILDINGS, V128, P198, DOI 10.1016/j.enbuild.2016.06.089
   China Nonferrous Metals Industry Association, 2015, 500192015 GB
   Durakovic B, 2019, SUSTAIN CITIES SOC, V45, P422, DOI 10.1016/j.scs.2018.12.003
   El-Abd W, 2018, SOL ENERGY, V170, P358, DOI 10.1016/j.solener.2018.05.052
   Goia F, 2014, ENRGY PROCED, V48, P1272, DOI 10.1016/j.egypro.2014.02.144
   Goia F, 2015, ENERG BUILDINGS, V87, P302, DOI 10.1016/j.enbuild.2014.11.019
   Goia F, 2014, SOL ENERGY, V100, P217, DOI 10.1016/j.solener.2013.12.002
   Goia F, 2013, ENERG BUILDINGS, V60, P442, DOI 10.1016/j.enbuild.2013.01.029
   Goia F, 2012, ENERG BUILDINGS, V54, P141, DOI 10.1016/j.enbuild.2012.07.036
   Gowreesunker BL, 2013, ENERG BUILDINGS, V61, P239, DOI 10.1016/j.enbuild.2013.02.032
   Hichem N, 2013, ENRGY PROCED, V36, P766, DOI 10.1016/j.egypro.2013.07.089
   Ismail KAR, 2008, ENERG BUILDINGS, V40, P710, DOI 10.1016/j.enbuild.2007.05.005
   Ismail KAR, 2002, ENERG CONVERS MANAGE, V43, P973, DOI 10.1016/S0196-8904(01)00083-8
   Kara YA, 2012, SOL ENERGY, V86, P2432, DOI 10.1016/j.solener.2012.05.012
   Kolácek M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071222
   Kong XF, 2014, ENERG BUILDINGS, V81, P404, DOI 10.1016/j.enbuild.2014.06.044
   Li D, 2020, CONSTR BUILD MATER, V233, DOI 10.1016/j.conbuildmat.2019.117327
   Li D, 2020, APPL THERM ENG, V165, DOI 10.1016/j.applthermaleng.2019.114547
   Li D, 2018, ENERG CONVERS MANAGE, V172, P119, DOI 10.1016/j.enconman.2018.07.015
   Li D, 2016, SOL ENERGY, V133, P207, DOI 10.1016/j.solener.2016.03.039
   Li D, 2015, ENERG BUILDINGS, V108, P381, DOI 10.1016/j.enbuild.2015.09.039
   Li SH, 2018, SUSTAIN CITIES SOC, V40, P266, DOI 10.1016/j.scs.2018.01.020
   Li SH, 2016, SUSTAIN CITIES SOC, V27, P15, DOI 10.1016/j.scs.2016.08.014
   Li SH, 2014, ENERG BUILDINGS, V85, P483, DOI 10.1016/j.enbuild.2014.09.054
   Li Z, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115853
   Liu CY, 2018, APPL THERM ENG, V134, P615, DOI 10.1016/j.applthermaleng.2018.01.117
   Liu CY, 2016, ENERG BUILDINGS, V125, P267, DOI 10.1016/j.enbuild.2016.05.002
   Liu ZB, 2019, APPL THERM ENG, V148, P544, DOI 10.1016/j.applthermaleng.2018.11.085
   Mangkuto RA, 2016, APPL ENERG, V164, P211, DOI 10.1016/j.apenergy.2015.11.046
   Ming XS, 2017, PLASMONICS, V12, P117, DOI 10.1007/s11468-016-0236-z
   Ministry of Housing and Urban-Rural Development of the People Republic of China, 2012, GB507362012
   Pichatwatana K, 2017, ENERG BUILDINGS, V148, P37, DOI 10.1016/j.enbuild.2017.05.007
   Silva T, 2016, RENEW SUST ENERG REV, V53, P515, DOI 10.1016/j.rser.2015.07.201
   Souayfane F, 2019, ENERGY, V169, P1274, DOI 10.1016/j.energy.2018.12.116
   Souayfane F, 2018, APPL ENERG, V217, P390, DOI 10.1016/j.apenergy.2018.02.119
   Souayfane F, 2016, ENERG BUILDINGS, V129, P396, DOI 10.1016/j.enbuild.2016.04.006
   Xamán J, 2017, APPL THERM ENG, V110, P805, DOI 10.1016/j.applthermaleng.2016.08.156
   Xamán J, 2016, RENEW ENERG, V94, P237, DOI 10.1016/j.renene.2016.03.055
   Zhang S, 2021, ENERGY, V222, DOI 10.1016/j.energy.2021.119916
   Zhao Y, 2013, BUILD ENVIRON, V63, P56, DOI 10.1016/j.buildenv.2012.12.015
   Zheng CD, 2017, PROCEDIA ENGINEER, V205, P2903, DOI 10.1016/j.proeng.2017.10.089
   Zhong KC, 2015, ENERG BUILDINGS, V106, P87, DOI 10.1016/j.enbuild.2015.05.014
NR 46
TC 45
Z9 45
U1 9
U2 52
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0960-1481
EI 1879-0682
J9 RENEW ENERG
JI Renew. Energy
PD JAN
PY 2022
VL 182
BP 1080
EP 1093
DI 10.1016/j.renene.2021.11.008
PG 14
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA ZO9FI
UT WOS:000766032500013
DA 2025-01-10
ER

PT J
AU Li, L
   Collins, AM
   Cheshmehzangi, A
   Chan, FKS
AF Li, Lei
   Collins, Alexandra M.
   Cheshmehzangi, Ali
   Chan, Faith Ka Shun
TI Identifying enablers and barriers to the implementation of the Green
   Infrastructure for urban flood management: A comparative analysis of the
   UK and China
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Green Infrastructure; Stormwater management; Sponge city; Sustainable
   drainage systems
ID SPONGE CITY; STORMWATER MANAGEMENT; GOVERNANCE; BENEFITS; RISK; ENGLAND;
   POLICY; SPACE; LAND
AB Climate change and urbanization are increasing the urban flood risk, which can cause adverse on socio-economic and environmental impacts. Green Infrastructure (GI) can reduce stormwater runoff and offer multiple benefits that have been initiated in the United Kingdom (UK) and China, namely Sustainable Urban Drainage Systems (SUDS) and Sponge Cities Program (SCP) respectively. Currently, the implementation of GI is restricted to small spatial (site specific) scale and facing several constraints such as financial investment and governance, that limited its fuller functions and potential. This study aims to identify the barriers and enablers for the adoption of GI by investigating SUDS and SCP in the UK and China, through twelve in-depth semi-structured interviews with stakeholders. Our results found that multiple benefits of the SUDS and SCP were identified, as the main enablers in both countries with reducing the stormwater runoff and alleviating peak discharge in the drainage system, also contributing to social well-being and climate adaptations. Some barriers found the current practices are facing challenges from financial, biophysical and socio-political circumstances in both cases. We conclude that it is beneficial to learn the comparative findings and experiences from both countries, which contributes to stakeholders for improving current GI practices, in prior to achieve more sustainable long-term deliverables.
C1 [Li, Lei; Chan, Faith Ka Shun] Univ Nottingham Ningbo China, Fac Sci & Engn, Sch Geog Sci, Ningbo 315000, Peoples R China.
   [Li, Lei; Collins, Alexandra M.] Imperial Coll London, Ctr Environm Policy, 109 Weeks Bldg,16-18 Princes Gardens, London SW7 1NE, England.
   [Cheshmehzangi, Ali] Univ Nottingham Ningbo China, Fac Sci & Engn, Dept Architecture & Built Environm, Ningbo 315100, Peoples R China.
   [Chan, Faith Ka Shun] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.
   [Chan, Faith Ka Shun] Univ Leeds, Water Leeds Res Inst, Leeds LS2 9JT, W Yorkshire, England.
C3 University of Nottingham Ningbo China; Imperial College London;
   University of Nottingham Ningbo China; University of Leeds; University
   of Leeds
RP Li, L (corresponding author), Univ Nottingham Ningbo China, Fac Sci & Engn, Sch Geog Sci, Ningbo 315000, Peoples R China.
EM lei.li@nottingham.edu.cn; Alexandra.collins@imperial.ac.uk;
   ali.cheshmehzangi@nottingham.edu.cn; faith.chan@nottingham.edu.cn
RI Cheshmehzangi, Ali/AEY-0328-2022; Chan, Faith/AAV-4088-2020; Chan, Faith
   Ka Shun/H-1541-2017
OI Chan, Faith Ka Shun/0000-0001-6091-6596; Li, Lei/0000-0002-8743-9993;
   Cheshmehzangi, Ali/0000-0003-2657-4865; Collins,
   Alexandra/0000-0003-4703-4921
FU National Natural Science Foundation of China (NSFC) [41850410497,
   71950410760]; National Key R&D Program of China [2019YFC1510400];
   British Academy; British Academy [IC3\100093]; Faculty of Science and
   Engineering (FoSE) Postgraduate Research Scholarship of University of
   Nottingham Ningbo China
FX We appreciate the review and comments from the editor and two anonymous
   reviewers. This manuscript builds on the research project that
   collaborate with the Imperial College London and University of
   Nottingham Ningbo China. We would like to send our gratitude for the
   support from the National Natural Science Foundation of China (NSFC)
   (Grant numbers: 41850410497; 71950410760); the National Key R&D Program
   of China (Grant Number:.2019YFC1510400); the British Academy Project
   `Developing new Blue-Green futures: multifunctional infrastructure to
   address water challenges', part of the British Academy Programme on
   Tackling the UK's International Challenges (Grant reference IC3\100093);
   and the Faculty of Science and Engineering (FoSE) Postgraduate Research
   Scholarship of University of Nottingham Ningbo China. The authors would
   also like to thank all experts who contributed to the interviews both in
   the UK and China.
CR Andrew RF, 2017, WATER-SUI, V9, DOI 10.3390/w9120953
   [Anonymous], 2010, Dissertation/Thesis
   Arup, 2014, CIT AL RETH GREEN IN
   Ashley R.M., 2017, P 14 INT C URB DRAIN
   Ashley RM, 2018, P I CIVIL ENG-WAT M, V171, P57, DOI 10.1680/jwama.16.00118
   BARRIBALL KL, 1994, J ADV NURS, V19, P328
   Bazeley P., 2013, Qualitative Data Analysis with NVivo
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Biswas A.K., 2016, POLICY FORUM
   Brown RR, 2009, WATER SCI TECHNOL, V59, P839, DOI 10.2166/wst.2009.028
   CABE, 2005, DOES MON GROW TREES
   Carter JG, 2018, J ENVIRON PLANN MAN, V61, P1535, DOI 10.1080/09640568.2017.1355777
   Center for Neighborhood Technology, 2007, GREEN VAL STORMW TOO
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   CIRIA, 2015, BST BEN EST TOOL SUS
   Cloke P., 2004, PRACTISING HUMAN GEO
   Clune W., 2006, P INT WORKSH HELD JU
   Collinge G., 2010, ROYAL TOWN PLANNING
   Copeland C., 2014, Green Infrastructure and Issues in Managing Urban Stormwater. Congressional Research Service Report
   Dhakal KP, 2017, J ENVIRON MANAGE, V203, P171, DOI 10.1016/j.jenvman.2017.07.065
   DiGiovanni G., 2017, TECHNICAL REPORT
   Dramstad WencheE., 1996, LANDSCAPE ECOLOGY PR
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   ECOTEC, 2006, CIT REG GREEN INFR S
   Environment Agency, 2005, PLANN SUST COMM GREE
   Environment Agency, 2015, MAN FLOOD COAST ER R
   European Commission, 2010, COMM COMM EUR PARL C
   European Commission, 2013, BUILD GREEN INFR EUR
   Everett G, 2018, J FLOOD RISK MANAG, V11, pS973, DOI 10.1111/jfr3.12225
   FABOS JG, 1995, LANDSCAPE URBAN PLAN, V33, P1, DOI 10.1016/0169-2046(95)02035-R
   Feng L., 2014, INVENTORY URBAN WATE
   Finewood MH, 2019, ANN AM ASSOC GEOGR, V109, P909, DOI 10.1080/24694452.2018.1507813
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Huron River Watershed Council, 2014, BARR PREV IMPL GREEN
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Keeley M, 2013, ENVIRON MANAGE, V51, P1093, DOI 10.1007/s00267-013-0032-x
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   LaBadie K., 2011, THESIS
   Lashford C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010213
   Leitao AB, 2002, LANDSCAPE URBAN PLAN, V59, P65, DOI 10.1016/S0169-2046(02)00005-1
   Liang X, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030669
   Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011
   Llausàs A, 2012, EUR PLAN STUD, V20, P641, DOI 10.1080/09654313.2012.665032
   Lo AY, 2017, NAT HAZARDS, V88, P367, DOI 10.1007/s11069-017-2870-y
   Luker S., 2014, EMPIRICAL LOOK BARRI
   Mathiesen K., 2015, How and where did UK lose city-sized area of green space in just six years?
   McMahon E., 2009, PARKCITY GREEN INFR, P24
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Ministry of Finance of China, 2015, NOT LAUNCH PIL WORK
   Mouritz M., 1996, THESIS MURDOCH U
   Natural England, 2009, GREEN INFR GUID
   Natural England and the Campaign to Protect Rural England, 2010, GREEN BELTS GREEN FU
   Neo H, 2015, INTERNATIONAL HANDBOOK OF POLITICAL ECOLOGY, P401
   Nicholls S, 2005, J LEISURE RES, V37, P321, DOI 10.1080/00222216.2005.11950056
   Northwest Regional Development Agency, 2008, EC VAL GREEN INFR
   Olorunkiya Joshua., 2012, J SUSTAINABLE DEV, P27, DOI DOI 10.5539/JSD.V5N9P27
   Ossa-Moreno J, 2017, SUSTAIN CITIES SOC, V28, P411, DOI 10.1016/j.scs.2016.10.002
   Otter. ai, 2019, OTT IS CONV LIV
   Penning-Rowsell EC, 2015, T I BRIT GEOGR, V40, P44, DOI 10.1111/tran.12053
   Porse EC, 2013, WATER-SUI, V5, P29, DOI 10.3390/w5010029
   Qiao XJ, 2018, J CLEAN PROD, V196, P943, DOI 10.1016/j.jclepro.2018.06.049
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Richard D., 2016, UN 1995 2015 FLOOD D
   Schueler T., 1987, CONTROLLING URBAN RU, P275
   Scott A., 2017, MAKING PLANS GREEN I
   Sussams L., 2012, THESIS
   Tang YT, 2018, J FLOOD RISK MANAG, V11, DOI 10.1111/jfr3.12451
   The Environment Partnership (TEP), 2005, ADV DEL GREEN INFR T
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Thurston H.W., 2011, Economic Incentives for Stormwater Control
   Tian Shaojing., 2011, Managing Stormwater Runoff with Green Infrastructure: Exploring Practical Strategies to Overcome Barriers in Citywide Implementation
   Trogrlic RS, 2018, WATER-SUI, V10, DOI 10.3390/w10050553
   Tryhorn L, 2010, WEATHER CLIM SOC, V2, P113, DOI 10.1175/2009WCAS1015.1
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   UK Green Building Council, 2015, 1135153 UK GREEN BUI
   UK National Ecosystem Assessment, 2011, UK NAT EC ASS UND NA
   UNDP NDRCC, 2017, RES REP URB FLOOD RI
   United States Environmental Protection Agency, 2000, EPA841B00005 US EPA, P3
   US EPA, 2012, WHAT IS GREEN INFR
   US EPA, 2014, 800R141006 US EPA
   van de Meene SJ, 2011, GLOBAL ENVIRON CHANG, V21, P1117, DOI 10.1016/j.gloenvcha.2011.04.003
   van Zoest J, 2014, URBAN CLIM, V7, P107, DOI 10.1016/j.uclim.2014.01.005
   Wang YT, 2017, RESOUR CONSERV RECY, V122, P11, DOI 10.1016/j.resconrec.2017.02.002
   WHEATER HS, 1982, J HYDROL, V55, P321, DOI 10.1016/0022-1694(82)90137-8
   Whelans C., 1994, Planning and management guidelines for water sensitive urban (residential) design
   Wong THF, 2006, AUSTRALAS J WAT RESO, V10, P213, DOI 10.1080/13241583.2006.11465296
   Woodhouse R., 2017, P ICE WAT MAN
   Wright H, 2011, LOCAL ENVIRON, V16, P1003, DOI 10.1080/13549839.2011.631993
   Zevenbergen C, 2018, WATER-SUI, V10, DOI 10.3390/w10091230
   Zhang L, 2019, J CLEAN PROD, V226, P949, DOI 10.1016/j.jclepro.2019.04.067
   Zhang SY, 2018, WATER-SUI, V10, DOI 10.3390/w10060766
   Zhang ZX, 2016, SCI CHINA EARTH SCI, V59, P1930, DOI 10.1007/s11430-015-0160-2
   Zhao JJ, 2013, SCI TOTAL ENVIRON, V442, P455, DOI 10.1016/j.scitotenv.2012.10.014
   Zhou Y, 2015, GEOFORUM, V61, P1, DOI 10.1016/j.geoforum.2015.02.002
NR 94
TC 51
Z9 55
U1 7
U2 140
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 OCT
PY 2020
VL 54
AR 126770
DI 10.1016/j.ufug.2020.126770
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 NO3YG
UT WOS:000569421500007
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Peng, G
   Matthews, JL
   Wang, MY
   Vose, R
   Sun, LQ
AF Peng, Ge
   Matthews, Jessica L.
   Wang, Muyin
   Vose, Russell
   Sun, Liqiang
TI What Do Global Climate Models Tell Us about Future Arctic Sea Ice
   Coverage Changes?
SO CLIMATE
LA English
DT Article
DE arctic; first ice-free Arctic summer year; climate models; Climate Data
   Record; sea ice extent; Coupled Model Intercomparison Project
AB The prospect of an ice-free Arctic in our near future due to the rapid and accelerated Arctic sea ice decline has brought about the urgent need for reliable projections of the first ice-free Arctic summer year (FIASY). Together with up-to-date observations and characterizations of Arctic ice state, they are essential to business strategic planning, climate adaptation, and risk mitigation. In this study, the monthly Arctic sea ice extents from 12 global climate models are utilized to obtain projected FIASYs and their dependency on different emission scenarios, as well as to examine the nature of the ice retreat projections. The average value of model-projected FIASYs is 2054/2042, with a spread of 74/42 years for the medium/high emission scenarios, respectively. The earliest FIASY is projected to occur in year 2023, which may not be realistic, for both scenarios. The sensitivity of individual climate models to scenarios in projecting FIASYs is very model-dependent. The nature of model-projected Arctic sea ice coverage changes is shown to be primarily linear. FIASY values predicted by six commonly used statistical models that were curve-fitted with the first 30 years of climate projections (2006-2035), on other hand, show a preferred range of 2030-2040, with a distinct peak at 2034 for both scenarios, which is more comparable with those from previous studies.
C1 [Peng, Ge; Matthews, Jessica L.; Sun, Liqiang] North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA.
   [Wang, Muyin] NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA.
   [Wang, Muyin] Univ Washington, Seattle, WA 98115 USA.
   [Vose, Russell] NOAA, Natl Ctr Environm Informat, Asheville, NC 28801 USA.
C3 North Carolina State University; National Oceanic Atmospheric Admin
   (NOAA) - USA; University of Washington; University of Washington
   Seattle; National Oceanic Atmospheric Admin (NOAA) - USA
RP Peng, G (corresponding author), North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC 28801 USA.
EM jlmatthe@ncsu.edu; lsun4@ncsu.edu; muyin.wang@noaa.gov;
   russell.vose@noaa.gov; lsun4@ncsu.edu
RI Wang, Muyin/K-4006-2014; Vose, Russell/GSI-5687-2022; Matthews,
   Jessica/D-5478-2014; Peng, Ge/D-8003-2014
OI Wang, Muyin/0000-0001-5233-4588; Peng, Ge/0000-0002-1986-9115; Matthews,
   Jessica L./0000-0002-6968-3474
FU NOAA's National Centers for Environmental Information (NCEI) through the
   Cooperative Institute for Climate and Satellites-North Carolina
   (CICS-NC) [NA14NES432003]; Cooperative Institute for Satellite Earth
   System Studies (CISESS) [NA19NES4320002]; Arctic Research Project of the
   NOAA Climate Program Office; Joint Institute for the Study of the
   Atmosphere and Ocean (JISAO) under NOAA [NA15OAR4320063, 2019-1037]
FX Ge Peng, Jessica L. Matthews, and Liqiang Sun were supported by NOAA's
   National Centers for Environmental Information (NCEI) through the
   Cooperative Institute for Climate and Satellites-North Carolina
   (CICS-NC) under Cooperative Agreement NA14NES432003 and the Cooperative
   Institute for Satellite Earth System Studies (CISESS) under Cooperative
   Agreement NA19NES4320002. Muyin Wang was jointly supported by the Arctic
   Research Project of the NOAA Climate Program Office, and by the Joint
   Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA
   Cooperative Agreement NA15OAR4320063, Contribution No 2019-1037. This is
   Pacific Marine Environmental Laboratory contribution #5043. We thank Tom
   Maycock, Carrie Morrill, and three anonymous reviewers of the MDPI
   Climate journal for reviewing the manuscript and providing beneficial
   suggestions that have increased its clarity and readability and helped
   to improve the quality of the paper. Suggestions from Tom Maycock and
   Laura Stevens were beneficial in selecting the color-blind-friendly
   palette used in Figures 1-3. We acknowledge the World Climate Research
   Programme's Working Group on Coupled Modelling, which is responsible for
   CMIP, and we thank the climate modeling groups (listed in Table 1 of
   this paper) for producing and making available their model output. For
   CMIP, the U.S. Department of Energy's Program for Climate Model
   Diagnosis and Intercomparison provides coordinating support and led the
   development of software infrastructure in partnership with the Global
   Organization for Earth System Science Portals.
CR AMAP, 2017, SNOW WATER ICE PERMA, P288
   [Anonymous], 2004, Impacts of a Warming Arctic: Arctic Climate Impact Assessment, P140
   Bi DH, 2013, AUST METEOROL OCEAN, V63, P41, DOI 10.22499/2.6301.004
   Collier M., 2012, 059 CAWCR, P32
   Collins WJ, 2011, GEOSCI MODEL DEV, V4, P1051, DOI 10.5194/gmd-4-1051-2011
   Comiso JC, 2012, J CLIMATE, V25, P1176, DOI 10.1175/JCLI-D-11-00113.1
   Gent PR, 2011, J CLIMATE, V24, P4973, DOI 10.1175/2011JCLI4083.1
   Giorgetta MA, 2013, J ADV MODEL EARTH SY, V5, P572, DOI 10.1002/jame.20038
   Hazeleger W, 2012, CLIM DYNAM, V39, P2611, DOI 10.1007/s00382-011-1228-5
   Hunke EC., 2010, CICE ALAMOS SEA ICE, P675
   Jahn A, 2016, GEOPHYS RES LETT, V43, P9113, DOI 10.1002/2016GL070067
   Meier W.N., 2017, NOAA/ NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 3. Oct 2017 to Mar 2019, DOI [10.7265/N59P2ZTG, DOI 10.7265/N59P2ZTG]
   Meier WN, 2014, POLAR RES, V33, DOI 10.3402/polar.v33.21004
   Meredith M., 2019, Polar Regions. Chapter 3
   Neale R.B., 2012, NCARTN4861STR, P268
   NSIDC, ARCT SEA IC MIN EXT
   Overland JE, 2011, J CLIMATE, V24, P1583, DOI 10.1175/2010JCLI3462.1
   Peng G, 2013, EARTH SYST SCI DATA, V5, P311, DOI 10.5194/essd-5-311-2013
   Peng G, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020230
   Stroeve JC, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052676
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Wang L, 2013, GEOPHYS RES LETT, V40, P522, DOI 10.1002/grl.50098
   Wang MY, 2015, PROG OCEANOGR, V136, P50, DOI 10.1016/j.pocean.2015.01.001
   Wang MY, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052868
   Wang MY, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037820
   Watanabe S, 2011, GEOSCI MODEL DEV, V4, P845, DOI 10.5194/gmd-4-845-2011
   Willmott CJ, 2015, ENVIRON MODELL SOFTW, V73, P167, DOI 10.1016/j.envsoft.2015.08.012
NR 27
TC 27
Z9 31
U1 2
U2 45
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 15
DI 10.3390/cli8010015
PG 24
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA KL6CT
UT WOS:000513510000015
OA gold
DA 2025-01-10
ER

PT J
AU Attia, S
   Eleftheriou, P
   Xeni, F
   Morlot, R
   Ménézo, C
   Kostopoulos, V
   Betsi, M
   Kalaitzoglou, I
   Pagliano, L
   Cellura, M
   Almeida, M
   Ferreira, M
   Baracu, T
   Badescu, V
   Crutescu, R
   Hidalgo-Betanzos, JM
AF Attia, Shady
   Eleftheriou, Polyvios
   Xeni, Flouris
   Morlot, Rodolphe
   Menezo, Christophe
   Kostopoulos, Vasilis
   Betsi, Maria
   Kalaitzoglou, Iakovos
   Pagliano, Lorenzo
   Cellura, Maurizio
   Almeida, Manuela
   Ferreira, Marco
   Baracu, Tudor
   Badescu, Viorel
   Crutescu, Ruxandra
   Maria Hidalgo-Betanzos, Juan
TI Overview and future challenges of nearly zero energy buildings (nZEB)
   design in Southern Europe
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Renovation; Nearly zero energy building (nZEB); Net zero energy building
   (NZEB); Fuel poverty; Thermal comfort; EPBD; Warm climate; Construction
   quality
ID THERMAL COMFORT; OPTIMIZATION; PERFORMANCE; MODELS; HEAT
AB In times of great transition of the European construction sector to energy efficient and nearly zero energy buildings (nZEB), a market observation containing qualitative and quantitative indications should help to fill out some of the current gaps concerning the EU 2020 carbon targets. Next to the economic challenges, there are equally important factors that hinder renovating the existing residential building stock and adding newly constructed high performance buildings. Under these circumstances this paper summarises the findings of a cross-comparative study of the societal and technical barriers of nZEB implementation in 7 Southern European countries. The study analyses the present situation and provides an overview on future prospects for nZEB in Southern Europe. The result presents an overview of challenges and provides recommendations based on available empirical evidence to further lower those barriers in the European construction sector. The paper finds that the most Southern European countries are poorly prepared for nZEB implementation and especially to the challenge opportunity of retrofitting existing buildings. Creating a common approach to further develop nZEB targets, concepts and definitions in synergy with the climatic, societal and technical state of progress in Southern Europe is essential. The paper provides recommendations for actions to shift the identified gaps into opportunities for future development of climate adaptive high performance buildings. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Attia, Shady] Univ Liege, Fac Appl Sci, Dept UEE, Sustainable Bldg Design Lab, Liege, Belgium.
   [Eleftheriou, Polyvios; Xeni, Flouris] Cyprus Univ Technol, Fac Engn, Dept Mech Engn & Mat Sci & Engn, Limassol, Cyprus.
   [Morlot, Rodolphe] French Environm & Energy Management Natl Agcy ADE, Grids & Renewable Energy Dept, Valbonne, France.
   [Menezo, Christophe] Univ Savoie Mont Blanc, LUCIE UMR CNRS 5271, Natl Inst Solar Energy INES, Le Bourget Du Lac, France.
   [Kostopoulos, Vasilis; Betsi, Maria; Kalaitzoglou, Iakovos] Univ Patras, Dept Mech Engn & Aeronaut, Appl Mech Lab, GR-26500 Patras, Greece.
   [Pagliano, Lorenzo] Politecnico Milano, Dipartimento Energia, End Use Efficiency Res Grp, Via Lambruschini 4, I-20156 Milan, Italy.
   [Cellura, Maurizio] Univ Palermo, Ingn Informazione Modelli Matemat, Dipartimento Energia, Palermo, Italy.
   [Almeida, Manuela] Univ Minho, Sch Engn, Dept Civil Engn, Campus Azurem, P-4800058 Guimaraes, Portugal.
   [Ferreira, Marco; Baracu, Tudor; Badescu, Viorel] Univ Politehn Bucuresti, Candida Oancea Inst, SpL Independentei 313, Bucharest 060042, Romania.
   [Crutescu, Ruxandra] Spiru Haret Univ, Fac Architecture, Ion Ghica St 13, Bucharest 030045, Romania.
   [Maria Hidalgo-Betanzos, Juan] Univ Basque Country, UPV EHU, Dept Thermal Engn, ENEDI RG, Europa 1, Donostia San Sebastian 20018, Spain.
C3 University of Liege; Cyprus University of Technology; Universite Savoie
   Mont Blanc; University of Patras; Polytechnic University of Milan;
   University of Palermo; Universidade do Minho; National University of
   Science & Technology POLITEHNICA Bucharest; Spiru Haret University;
   University of Basque Country
RP Attia, S (corresponding author), Univ Liege, Sustainable Bldg Design Lab, Off 0-542,Quartier Polytech 1,Allee Decouverte 13, B-4000 Liege, Belgium.
EM shady.attia@ulg.ac.be
RI Badescu, Viorel/B-9819-2011; Kostopoulos, Vassilis/ABI-6071-2020;
   Hidalgo-Betanzos, Juan/ACG-3284-2022; Attia, Shady/M-4942-2013; Almeida,
   Manuela/A-8400-2013
OI Badescu, Viorel/0000-0002-7708-5108; Attia, Shady/0000-0002-9477-5098;
   Eleftheriou, Polyvios/0000-0002-7542-9237; Almeida,
   Manuela/0000-0003-2713-6322; Hidalgo-Betanzos, Juan
   Maria/0000-0002-7030-8460
CR Aelenei L, 2015, ENRGY PROCED, V78, P2016, DOI 10.1016/j.egypro.2015.11.195
   [Anonymous], ENERGY
   [Anonymous], MEDITERRANEAN GREEN
   [Anonymous], 2007, Indoor environmental input parameters for design and assessment of energy performance of buildings-addressing indoor air quality, thermal environment, lighting and acoustics
   [Anonymous], 2015, VENTILATIVE COOLING
   [Anonymous], FUEL POVERTY MITIGAT
   [Anonymous], ANAL 3 DECADES TEMPE
   [Anonymous], 2016, INT J VENTILAT
   [Anonymous], INV EN EFF EUR BUILD
   [Anonymous], PASSIVHAUS PER SUD E
   [Anonymous], 2010, OFF J EUR UNION
   [Anonymous], MON DAT MON DAT INN
   [Anonymous], 2013, NEARLY ZERO ENERGY B
   [Anonymous], 2017, NET ZERO ENERGY BUIL
   [Anonymous], 2016, TECHNICAL REPORT
   [Anonymous], COBRA RES C U CAP TO
   [Anonymous], 2015, OV EX SURV EN PERF R
   [Anonymous], PASS PROJ PASS HOUS
   [Anonymous], 2013, COMPUTATIONAL OPTIMI
   [Anonymous], 2016, THESIS
   [Anonymous], 2015, IMPROVED QUALITY WOR
   [Anonymous], 77302006 SR EN ISO
   [Anonymous], 2011, INT BUILDING PERFORM
   [Anonymous], 2016, BRUSSELS TIMES 0201
   [Anonymous], FIN EN CONS HOUS
   [Anonymous], 2015, EPBD CONS REV POSS R
   [Anonymous], NAT METH ASS EN PERF
   [Anonymous], 2015, LATIN AM EUROPEAN EN
   [Anonymous], 2010, THERM ENV COND HUM O
   [Anonymous], THERM INS GUID
   [Anonymous], RETROFITTING NZEB CY
   [Anonymous], P 3 C ED EN CAS NUL
   [Anonymous], SMART ENERGY CONTROL
   [Anonymous], BPIE DAT HUB EN PERF
   [Anonymous], ENERGY BUILD
   [Anonymous], 18 PASS C AACH
   [Anonymous], P 3 C ED EN CAS NUL
   [Anonymous], 2010, 2020 CLIM EN PACK
   [Anonymous], 2015, MODELING DESIGN OPTI, DOI DOI 10.1002/9783433604625.CH03
   [Anonymous], 2007, PASSIVHAUS STANDARD
   [Anonymous], MAIS IT FAIT PAS FRO
   [Anonymous], EVALUACION ESTANDAR
   [Anonymous], 2015, REGL TECHN APPL BAT
   Ascione F, 2016, APPL ENERG, V183, P938, DOI 10.1016/j.apenergy.2016.09.027
   Atanasiu B., 2011, PRINCIPLES FOR NEARLY ZERO-ENERGY BUILDINGS: Paving the way for effective implementation of policy requirements
   Attia S, 2015, ENERG BUILDINGS, V102, P117, DOI 10.1016/j.enbuild.2015.05.017
   Azofra D, 2016, RENEW ENERG, V95, P98, DOI 10.1016/j.renene.2016.04.005
   Baccini M, 2008, EPIDEMIOLOGY, V19, P711, DOI 10.1097/EDE.0b013e318176bfcd
   Badescu V, 2015, ENERG EFFIC, V8, P919, DOI 10.1007/s12053-015-9332-8
   Boardman Brenda., 2013, FIXING FUEL POVERTY
   Carlucci S, 2014, BUILD ENVIRON, V75, P114, DOI 10.1016/j.buildenv.2013.12.017
   Carlucci S, 2013, ADV MATER RES-SWITZ, V689, P44, DOI 10.4028/www.scientific.net/AMR.689.44
   Causone F, 2014, ENRGY PROCED, V62, P280, DOI 10.1016/j.egypro.2014.12.389
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   Crawley D, 2009, ASHRAE J, V51, P18
   Fernandes J, 2015, BUILDINGS, V5, P1242, DOI 10.3390/buildings5041242
   Figueiredo A, 2016, ENERG BUILDINGS, V118, P181, DOI 10.1016/j.enbuild.2016.02.034
   Givoni Baruch., 1998, CLIMATE CONSIDERATIO
   Hauge ÅL, 2013, ENERG EFFIC, V6, P315, DOI 10.1007/s12053-012-9175-5
   Healy JD, 2003, J EPIDEMIOL COMMUN H, V57, P784, DOI 10.1136/jech.57.10.784
   Ionac N, 2014, PRESENT ENV SUST DEV, V8, P5, DOI 10.2478/pesd-2014-0001
   Manea A, 2016, ATMOS RES, V169, P357, DOI 10.1016/j.atmosres.2015.10.020
   Matias L., 2010, TPI65-Desenvolvimento de um modelo adaptativo para definicao das condicoes de conforto termico em Portugal
   Matias L., 2009, PLEA2009 26 C PASSIV, P22
   McLeod RS, 2013, BUILD ENVIRON, V70, P189, DOI 10.1016/j.buildenv.2013.08.024
   Miranda P., 2002, SIAMproject, P23
   Mlakar J, 2011, ENERG BUILDINGS, V43, P1443, DOI 10.1016/j.enbuild.2011.02.008
   Mlecnik E, 2010, ENERG POLICY, V38, P4592, DOI 10.1016/j.enpol.2010.04.015
   Muresan AA, 2017, RENEW SUST ENERG REV, V74, P349, DOI 10.1016/j.rser.2017.02.022
   Pagliano L, 2016, ENERG BUILDINGS, V127, P1117, DOI 10.1016/j.enbuild.2016.05.092
   Pagliano L, 2010, ADV BUILD ENERGY RES, V4, P167, DOI 10.3763/aber.2009.0406
   Peacock AD, 2010, ENERG POLICY, V38, P3277, DOI 10.1016/j.enpol.2010.01.021
   Pindar A., 2007, P PAL C 28 AIVC C BU
   Ridley I, 2013, ENERG BUILDINGS, V63, P67, DOI 10.1016/j.enbuild.2013.03.052
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Sakka A, 2012, ENERG BUILDINGS, V49, P69, DOI 10.1016/j.enbuild.2012.01.023
   Sameni SMT, 2015, BUILD ENVIRON, V92, P222, DOI 10.1016/j.buildenv.2015.03.030
   Santamouris M, 2016, ENERG BUILDINGS, V128, P617, DOI 10.1016/j.enbuild.2016.07.034
   Santamouris M, 2016, SOL ENERGY, V128, P61, DOI 10.1016/j.solener.2016.01.021
   Santarnouris M, 2015, ENERG BUILDINGS, V98, P125, DOI 10.1016/j.enbuild.2014.08.050
   Schnieders J., 2009, PASSIVE HOUSES S W E
   Schnieders J, 2015, ENERG BUILDINGS, V105, P71, DOI 10.1016/j.enbuild.2015.07.032
   Silva S M., 2015, Latin-American and European Encounter on Sustainable Building and Communities-Connecting People and Ideas, V3, P2469
NR 83
TC 220
Z9 228
U1 9
U2 141
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD NOV 15
PY 2017
VL 155
BP 439
EP 458
DI 10.1016/j.enbuild.2017.09.043
PG 20
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA FL3FB
UT WOS:000414107200038
OA Green Published
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Grecequet, M
   DeWaard, J
   Hellmann, JJ
   Abel, GJ
AF Grecequet, Martina
   DeWaard, Jack
   Hellmann, Jessica J.
   Abel, Guy J.
TI Climate Vulnerability and Human Migration in Global Perspective
SO SUSTAINABILITY
LA English
DT Article
DE climate change; climate vulnerability; international migration;
   migration flows; life-supporting sectors; ecosystem services
AB The relationship between climate change and human migration is not homogenous and depends critically on the differential vulnerability of population and places. If places and populations are not vulnerable, or susceptible, to climate change, then the climate-migration relationship may not materialize. The key to understanding and, from a policy perspective, planning for whether and how climate change will impact future migration patterns is therefore knowledge of the link between climate vulnerability and migration. However, beyond specific case studies, little is known about this association in global perspective. We therefore provide a descriptive, country-level portrait of this relationship. We show that the negative association between climate vulnerability and international migration holds only for countries least vulnerable to climate change, which suggests the potential for trapped populations in more vulnerable countries. However, when analyzed separately by life supporting sector (food, water, health, ecosystem services, human habitat, and infrastructure) and vulnerability dimension (exposure, sensitivity, and adaptive capacity), we detect evidence of a relationship among more, but not the most, vulnerable countries. The bilateral (i.e., country-to-country) migration show that, on average, people move from countries of higher vulnerability to lower vulnerability, reducing global risk by 15%. This finding is consistent with the idea that migration is a climate adaptation strategy. Still, similar to 6% of bilateral migration is maladaptive with respect to climate change, with some movement toward countries with greater climate change vulnerability.
C1 [Grecequet, Martina; DeWaard, Jack; Hellmann, Jessica J.] Univ Minnesota, Inst Environm, St Paul, MN 55108 USA.
   [DeWaard, Jack] Univ Minnesota, Dept Sociol, Minneapolis, MN 55455 USA.
   [DeWaard, Jack] Univ Minnesota, Minnesota Populat Ctr, Minneapolis, MN 55455 USA.
   [Hellmann, Jessica J.] Univ Minnesota, Coll Biol Sci, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA.
   [Abel, Guy J.] Shanghai Univ, Sch Sociol & Polit Sci, Asian Demog Res Inst, Shanghai 200444, Peoples R China.
   [Abel, Guy J.] Austrian Acad Sci, Vienna Inst Demog, Wittgenstein Ctr Demog & Global Human Capital, IIASA,OAW,WU, A-1020 Vienna, Austria.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   Shanghai University; International Institute for Applied Systems
   Analysis (IIASA); Austrian Academy of Sciences
RP Grecequet, M (corresponding author), Univ Minnesota, Inst Environm, St Paul, MN 55108 USA.
EM mgrecequ@umn.edu; jdewaard@umn.edu; hellmann@umn.edu;
   guy.abel@oeaw.ac.at
RI Abel, Guy/D-8106-2013
OI Abel, Guy/0000-0002-4893-5687; Hellmann, Jessica/0000-0002-4961-0841
FU Eunice Kennedy Shriver National Institute of Child Health and Human
   Development [R24 HD041023]
FX Grant #R24 HD041023 awarded to the Minnesota Population Center at the
   University of Minnesota by the Eunice Kennedy Shriver National Institute
   of Child Health and Human Development.
CR Abel GJ, 2013, DEMOGR RES, V28, P505, DOI 10.4054/DemRes.2013.28.18
   Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   [Anonymous], MANAGING RISKS EXTRE
   [Anonymous], 2 VIENN I DEM
   [Anonymous], 2015, Staff Discussion Notes, DOI DOI 10.5089/9781513555188.006
   [Anonymous], COUNTRY INDEX TECHNI
   [Anonymous], 2007, CLIMATE INJUSTICE
   [Anonymous], ESAPWP241 UN
   [Anonymous], STATE ENV MIGRATION
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Chen C., 2016, MITIG ADAPT STRAT GL, P1
   Foresight, 2011, Future challenges and opportunities Final Project Report
   Hunter LM, 2015, ANNU REV SOCIOL, V41, P377, DOI 10.1146/annurev-soc-073014-112223
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McLeman RA, 2014, CLIMATE AND HUMAN MIGRATION: PAST EXPERIENCES, FUTURE CHALLENGES, P1
   Nawrotzkil RJ, 2016, POPUL ENVIRON, V38, P72, DOI 10.1007/s11111-016-0255-x
   Raudsepp-Hearne C, 2010, BIOSCIENCE, V60, P576, DOI 10.1525/bio.2010.60.8.4
   ROGERS A, 1990, GEOGR ANAL, V22, P283, DOI 10.1111/j.1538-4632.1990.tb00212.x
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
NR 20
TC 36
Z9 39
U1 6
U2 88
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2017
VL 9
IS 5
AR 720
DI 10.3390/su9050720
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 EY6XN
UT WOS:000404127800045
PM 29707262
OA gold, Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Treuer, G
   Koebele, E
   Deslatte, A
   Ernst, K
   Garcia, M
   Manago, K
AF Treuer, Galen
   Koebele, Elizabeth
   Deslatte, Aaron
   Ernst, Kathleen
   Garcia, Margaret
   Manago, Kim
TI A narrative method for analyzing transitions in urban water management:
   The case of the Miami-Dade Water and Sewer Department
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE water management; transitions; methods; utilities
ID INSTITUTIONS; INNOVATIONS; FRAMEWORK; HISTORY; SCIENCE; CITIES
AB Although the water management sector is often characterized as resistant to risk and change, urban areas across the United States are increasingly interested in creating opportunities to transition toward more sustainable water management practices. These transitions are complex and difficult to predict - the product of water managers acting in response to numerous biophysical, regulatory, political, and financial factors within institutional constraints. Gaining a better understanding of how these transitions occur is crucial for continuing to improve water management. This paper presents a replicable methodology for analyzing how urban water utilities transition toward sustainability. The method combines standardized quantitative measures of variables that influence transitions with contextual qualitative information about a utility's unique decision making context to produce structured, data-driven narratives. Data-narratives document the broader context, the utility's pretransition history, key events during an accelerated period of change, and the consequences of transition. Eventually, these narratives should be compared across cases to develop empirically-testable hypotheses about the drivers of and barriers to utility-level urban water management transition. The methodology is illustrated through the case of the Miami-Dade Water and Sewer Department (WASD) in Miami-Dade County, Florida, and its transition toward more sustainable water management in the 2000s, during which per capita water use declined, conservation measures were enacted, water rates increased, and climate adaptive planning became the new norm.
C1 [Treuer, Galen] Univ Miami, Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA.
   [Koebele, Elizabeth] Univ Colorado, Environm Studies Program, Boulder, CO 80309 USA.
   [Deslatte, Aaron] Northern Illinois Univ, Dept Publ Adm, De Kalb, IL USA.
   [Ernst, Kathleen] Univ Tennessee, Bredesen Ctr Interdisciplinary Grad Educ, Knoxville, TN USA.
   [Garcia, Margaret] Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA.
   [Manago, Kim] Colorado Sch Mines, Dept Civil & Environm Engn, Golden, CO 80401 USA.
C3 University of Miami; University of Colorado System; University of
   Colorado Boulder; Northern Illinois University; University of Tennessee
   System; University of Tennessee Knoxville; Tufts University; Colorado
   School of Mines
RP Treuer, G (corresponding author), Univ Miami, Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA.
EM g.treuer@umiami.edu
OI Garcia, Margaret/0000-0002-2864-2377; Koebele,
   Elizabeth/0000-0001-9133-2710; Ernst, Kathleen/0000-0002-4726-0331
FU National Socio-Environmental Synthesis Center (SESYNC) - National
   Science Foundation [DBI-1052875]; National Science Foundation
   [EAR-1204762, EAR-12040235, DG1E-0951782, IGERT-0966093, EEC-1444926];
   United States Department of Agriculture's National Institute of Food and
   Agriculture (NIFA ) [2012-67003-19862]; National Science Foundation
   Engineering Research Center for Reinventing the Nation's Urban Water
   Infrastructure [EEC-1028968]; Direct For Biological Sciences; Div Of
   Biological Infrastructure [1052875] Funding Source: National Science
   Foundation; Directorate For Engineering; Div Of Engineering Education
   and Centers [1444926] Funding Source: National Science Foundation; Div
   Of Biological Infrastructure; Direct For Biological Sciences [1639145]
   Funding Source: National Science Foundation
FX Thank you to Sara Hughes, Jessica Bolson and Deserai Anderson Crow for
   their invaluable help reviewing this manuscript and for their advice
   throughout this process. Also, thank you to Bertha Goldenberg of the
   Miami-Dade Water and Sewer Department for her continued assistance and
   insights throughout this project. This work is supported by the National
   Socio-Environmental Synthesis Center (SESYNC) under funding received
   from the National Science Foundation (DBI-1052875). The South Florida
   Water, Sustainability, and Climate Project is supported by the National
   Science Foundation's Water, Sustainability, and Climate (WSC) Program
   (EAR-1204762 and EAR-12040235) with joint support from the United States
   Department of Agriculture's National Institute of Food and Agriculture
   (NIFA Award 2012-67003-19862). This material is also based upon work
   supported by the National Science Foundation Graduate Research
   Fellowship (DG1E-0951782), Water Diplomacy Traineeship (IGERT-0966093),
   STEM Leaders Fellowship (EEC-1444926), and Engineering Research Center
   for Reinventing the Nation's Urban Water Infrastructure (EEC-1028968).
   To the best of our knowledge there are no conflicts of interest for any
   of this paper's authors. Data supporting the conclusions in this paper
   are publically available at the Miami-Dade Water and Sewer Department
   http://www.miamidade.gov/water/publications-reports.asp; the South
   Florida Water Management District
   http://www.sfwmd.gov/portal/page/portal/sfwmdmain/home%20-page; the
   National Oceanic and Atmospheric Administration National Centers for
   Environmental Information Historic Palmer Drought Indices
   http://www.ncdc.noaa.gov/temp-and-precip/drought/historical-palmers/;
   and the Miami-Herald http://www.miamiherald.com/site-services/archives/.
CR [Anonymous], COMPR ANN FIN REP
   [Anonymous], SUST CRIT WAT RES SY
   [Anonymous], 1999, SUSTAINABILITY GROUN
   [Anonymous], MOV SUST SUST EFF PR
   [Anonymous], MAND YEAR ROUND LAND
   [Anonymous], MIAM DAD CONS US PER
   [Anonymous], NEWS CONS SURV
   [Anonymous], COMPR ANN FIN REP
   [Anonymous], ECOL SOC J INTEGR SC
   [Anonymous], SUST CRIT WAT RES SY
   [Anonymous], ANAL GUIDE GOVT FINA
   [Anonymous], COMPR ANN FIN REP
   [Anonymous], NATL CITY WATER SURV
   [Anonymous], COMPR ANN FIN REP
   [Anonymous], P WAT ENV FED WEFTEC
   [Anonymous], 2010, AM SPEND MOR TIM FOL
   [Anonymous], MIAM DAD CONS US PER
   BARTHES R, 1975, NEW LITERARY HIST, V6, P237, DOI 10.2307/468419
   Basurto X, 2010, POLIT RES QUART, V63, P523, DOI 10.1177/1065912909334430
   Baumgartner F. R., 2001, Policy Dynamics Introduction: Positive and Negative Feedback in Politics
   BERRY FS, 1990, AM POLIT SCI REV, V84, P395, DOI 10.2307/1963526
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Caldas MM, 2015, P NATL ACAD SCI USA, V112, P8157, DOI 10.1073/pnas.1510010112
   CRAWFORD SES, 1995, AM POLIT SCI REV, V89, P582, DOI 10.2307/2082975
   Dahlstrom MF, 2014, P NATL ACAD SCI USA, V111, P13614, DOI 10.1073/pnas.1320645111
   de Haan FJ, 2015, ENVIRON INNOV SOC TR, V15, P1, DOI 10.1016/j.eist.2014.11.005
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557
   Feiock RC, 2016, URBAN AFF REV, V52, P129, DOI 10.1177/1078087414555999
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Geels FW, 2005, TECHNOL FORECAST SOC, V72, P681, DOI 10.1016/j.techfore.2004.08.014
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hornberger GM, 2015, WATER RESOUR RES, V51, P4635, DOI 10.1002/2015WR016943
   Hughes S, 2013, CITIES, V32, P51, DOI 10.1016/j.cities.2013.02.007
   Jones MD, 2010, POLICY STUD J, V38, P329, DOI 10.1111/j.1541-0072.2010.00364.x
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Kiser L., 1982, STRATEGIES POLITICAL, P179
   Loucks DP, 1997, HYDROLOG SCI J, V42, P513, DOI 10.1080/02626669709492051
   Loucks DP, 2000, WATER INT, V25, P3, DOI 10.1080/02508060008686793
   Lubell M, 2009, AM J POLIT SCI, V53, P649, DOI 10.1111/j.1540-5907.2009.00392.x
   Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046
   McBeth MarkK., 2014, THEORIES POLICY PROC, P225
   McCombs Maxwell., 2004, Setting the Agenda: The Mass Media and Public Opinion
   MCCOMBS ME, 1972, PUBLIC OPIN QUART, V36, P176, DOI 10.1086/267990
   McNulty S.G., 2007, Wetland and water resource modeling and assessment: A watershed perspective, P43, DOI DOI 10.1146/annurev.environ.030308.090351
   Mollinga PP, 2014, WATER ALTERN, V7, P178
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Ostrom E., 2005, Terracotta Reader: A market approach to the environment, P131
   Padowski JC, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012335
   Pierson Paul., 1993, WORLD POLIT, V45, DOI DOI 10.2307/2950710
   Ragin C.C., 2000, Fuzzy set social science
   Rogers PeterP., 2002, WATER POLICY, V4, P1, DOI DOI 10.1016/S1366-7017(02)00004-1
   Rotmans JR., 2001, FORESIGHT J FUTURE S, V3, P15, DOI [DOI 10.1108/14636680110803003, 10.1108/14636680110803003]
   Sabatier PA, 1998, J EUR PUBLIC POLICY, V5, P98, DOI 10.1080/13501768880000051
   Srinivasan V, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011087
   Treuer G, 2017, WATER RESOUR RES, V53, P891, DOI 10.1002/2016WR019658
   Waymire TR, 2015, J PUBLIC AFF EDUC, V21, P281, DOI 10.1080/15236803.2015.12001833
NR 58
TC 44
Z9 48
U1 4
U2 39
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0043-1397
EI 1944-7973
J9 WATER RESOUR RES
JI Water Resour. Res.
PD JAN
PY 2017
VL 53
IS 1
BP 891
EP 908
DI 10.1002/2016WR019658
PG 18
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA EL9AJ
UT WOS:000394911200052
DA 2025-01-10
ER

PT J
AU Sesarini, C
   Remis, MI
AF Sesarini, Carla
   Remis, Maria I.
TI Molecular and morphometric variation in chromosomally differentiated
   populations of the grasshopper <i>Sinipta dalmani</i> (Orthopthera:
   Acrididae)
SO GENETICA
LA English
DT Article
DE morphometric traits; orthoptera; population structure; RAPD
ID MALE MATING SUCCESS; GENETIC-STRUCTURE; EVOLUTIONARY HISTORY;
   DROSOPHILA-BUZZATII; GEOGRAPHIC-VARIATION; PHENOTYPIC COVARIANCE;
   CLIMATIC ADAPTATION; NATURAL-POPULATION; ARBITRARY PRIMERS;
   MITOCHONDRIAL-DNA
AB Sinipta dalmani is an Argentine grasshopper whose chromosome polymorphisms have been widely studied through cytogenetic, morphometric, and fitness component analyses. The present work analysed molecular and morphometric variation in seven chromosomally differentiated populations from Entre Rios and Buenos Aires provinces to analyse population structure. Molecular studies were performed studying RAPD loci and morphometric analyses were carried out measuring five morphometric traits. Genetic variability was high in all studied populations and was characterized by a decrease in H as a function of latitude and temperature. Both conventional F-ST analysis and Bayesian approach for dominant marker showed that there were significant genetic differences among all populations, between provinces, and among populations within provinces. Entre Rios populations showed higher mean numbers of migrants per generation as well as low genetic differentiation and high gene flow with almost all populations whereas Buenos Aires populations may be considered as a result of a more recently colonization. There is considerable morphometric variation between populations and this variation correlates with latitude and temperature. Our results suggest that selection contributes to phenotypic differentiation among populations by moulding the differences in trait means whereas genetic drift is responsible for differences in the matrix of variance-covariance. The gene flow detected is insufficient to prevent phenotypic and chromosome divergences.
C1 [Sesarini, Carla; Remis, Maria I.] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, Buenos Aires, DF, Argentina.
C3 University of Buenos Aires
RP Sesarini, C (corresponding author), Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, C1428EHA, Buenos Aires, DF, Argentina.
EM mariar@ege.fcen.uba.ar
CR [Anonymous], 1993, PHYLIP (Phylogeny Inference Package)
   [Anonymous], 2004, MOL MARKERS NATURAL
   BLACK IVW, 1995, FORTRAN PROGRAMS ANA
   Black W.C. IV, 1993, Insect Molecular Biology, V2, P1, DOI 10.1111/j.1365-2583.1993.tb00118.x
   Blanckenhorn WU, 2004, INTEGR COMP BIOL, V44, P413, DOI 10.1093/icb/44.6.413
   BUTLIN RK, 1982, HEREDITY, V49, P51, DOI 10.1038/hdy.1982.64
   CHAPCO W, 1992, GENOME, V35, P569, DOI 10.1139/g92-085
   Clemente M, 2002, GENOME, V45, P1125, DOI 10.1139/G02-086
   Colombo PC, 2004, GENETICA, V121, P25, DOI 10.1023/B:GENE.0000019924.96257.97
   Colombo PC, 2001, HEREDITY, V87, P480, DOI 10.1046/j.1365-2540.2001.00932.x
   Gillespie RG, 1998, EVOLUTION, V52, P775, DOI [10.1111/j.1558-5646.1998.tb03701.x, 10.2307/2411271]
   HASSON E, 1993, GENETICA, V92, P61, DOI 10.1007/BF00057508
   HASSON E, 1992, HEREDITY, V68, P557, DOI 10.1038/hdy.1992.78
   Holsinger KE, 2004, MOL ECOL, V13, P887, DOI 10.1111/j.1365-294X.2004.02052.x
   Holsinger KE, 2002, MOL ECOL, V11, P1157, DOI 10.1046/j.1365-294X.2002.01512.x
   Kim KS, 2004, INSECT MOL BIOL, V13, P293, DOI 10.1111/j.0962-1075.2004.00487.x
   LOBO JA, 1995, HEREDITY, V75, P133, DOI 10.1038/hdy.1995.116
   LYNCH M, 1994, MOL ECOL, V3, P91, DOI 10.1111/j.1365-294X.1994.tb00109.x
   MANTEL N, 1967, CANCER RES, V27, P209
   MARCHANT AD, 1988, HEREDITY, V60, P39, DOI 10.1038/hdy.1988.7
   MARCHANT AD, 1993, MOL BIOL EVOL, V10, P855
   MASAKI S, 1972, EVOLUTION, V26, P587, DOI 10.1111/j.1558-5646.1972.tb01966.x
   MASAKI S, 1967, EVOLUTION, V21, P725, DOI 10.1111/j.1558-5646.1967.tb03430.x
   McGuigan K, 2006, MOL ECOL, V15, P883, DOI 10.1111/j.1365-294X.2006.02809.x
   MOUSSEAU TA, 1989, EVOLUTION, V43, P1483, DOI 10.1111/j.1558-5646.1989.tb02598.x
   NEI M, 1972, AM NAT, V106, P283, DOI 10.1086/282771
   NEI M, 1974, GENETICS, V76, P379
   NGORAN JAK, 1994, HEREDITY, V73, P589, DOI 10.1038/hdy.1994.166
   Ogden R, 2002, MOL ECOL, V11, P437, DOI 10.1046/j.0962-1083.2001.01442.x
   Pearson CVM, 2002, MOL ECOL, V11, P2285, DOI 10.1046/j.1365-294X.2002.01621.x
   Pensel SM, 2007, ANN ENTOMOL SOC AM, V100, P283, DOI 10.1603/0013-8746(2007)100[283:VIAFBS]2.0.CO;2
   Pensel SM, 2005, GENOME, V48, P971, DOI 10.1139/G05-076
   Perfectti F, 2000, CHROMOSOME RES, V8, P425, DOI 10.1023/A:1009214904031
   Rajput SG, 2006, AFR J BIOTECHNOL, V5, P108
   Raymond M, 1995, EVOLUTION, V49, P1280, DOI 10.1111/j.1558-5646.1995.tb04456.x
   REMIS M, 1990, GENET SEL EVOL, V22, P263, DOI 10.1051/gse:19900301
   Remis Maria Isabel, 1997, Journal of Genetics, V76, P25
   REMIS MI, 1989, CARYOLOGIA, V42, P285, DOI 10.1080/00087114.1989.10796976
   Remis MI, 2002, HEREDITAS, V136, P155, DOI 10.1034/j.1601-5223.2002.1360211.x
   Remis MI, 2000, HEREDITY, V84, P548, DOI 10.1046/j.1365-2540.2000.00697.x
   REMIS MI, 1991, THESIS U BUENOS AIRE
   Roff DA, 2005, J EVOLUTION BIOL, V18, P1104, DOI 10.1111/j.1420-9101.2005.00862.x
   SANTOS M, 1988, HEREDITY, V61, P255, DOI 10.1038/hdy.1988.113
   SANTOS M, 1992, J EVOLUTION BIOL, V5, P403, DOI 10.1046/j.1420-9101.1992.5030403.x
   SLATKIN M, 1993, EVOLUTION, V47, P264, DOI 10.1111/j.1558-5646.1993.tb01215.x
   *STAT STATSOFT INC, 1996, STAT 5 WIND COMP PRO
   SWOFFORD DL, 1981, J HERED, V72, P281, DOI 10.1093/oxfordjournals.jhered.a109497
   TAYLOR CE, 1988, EVOLUTION, V42, P197, DOI 10.1111/j.1558-5646.1988.tb04120.x
   Telfer MG, 1999, OECOLOGIA, V121, P245, DOI 10.1007/s004420050926
   Vandewoestijne S, 2002, HEREDITY, V89, P439, DOI 10.1038/sj.hdy.6800161
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   WELSH J, 1990, NUCLEIC ACIDS RES, V18, P7213, DOI 10.1093/nar/18.24.7213
   Werle SF, 2004, CAN J ZOOL, V82, P118, DOI [10.1139/z03-227, 10.1139/Z03-227]
   WHITE MJ, 1963, EVOLUTION, V17, P147, DOI 10.2307/2406460
   WHITE MJD, 1960, EVOLUTION, V14, P284, DOI 10.2307/2405971
   WILLIAMS JGK, 1990, NUCLEIC ACIDS RES, V18, P6531, DOI 10.1093/nar/18.22.6531
   Willott SJ, 1998, FUNCT ECOL, V12, P232, DOI 10.1046/j.1365-2435.1998.00180.x
   Wright S, 1931, GENETICS, V16, P0097
   WRIGHT S, 1951, ANN EUGENIC, V15, P323
   Zhou XF, 2000, HEREDITY, V85, P251, DOI 10.1046/j.1365-2540.2000.00738.x
NR 60
TC 12
Z9 13
U1 0
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0016-6707
EI 1573-6857
J9 GENETICA
JI Genetica
PD JUL
PY 2008
VL 133
IS 3
BP 295
EP 306
DI 10.1007/s10709-007-9213-y
PG 12
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 317MG
UT WOS:000257023700007
PM 17926131
DA 2025-01-10
ER

PT J
AU Magnan, AK
   Viriamu, T
   Moatty, A
   Duvat, VKE
   Le Cozannet, G
   Stahl, L
   Anisimov, A
AF Magnan, Alexandre K.
   Viriamu, Toanui
   Moatty, Annabelle
   Duvat, Virginie K. E.
   Le Cozannet, Goneri
   Stahl, Lucile
   Anisimov, Ariadna
TI The climate change policy integration challenge in French Polynesia,
   Central Pacific Ocean
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Coastal risks; Climate adaptation; Policy documents; Small islands
ID SEA-LEVEL RISE; CHANGE ADAPTATION; REEF ISLANDS; COASTAL RISKS;
   PATHWAYS; IMPACTS; INUNDATION; XYNTHIA; TUAMOTU; EXAMPLE
AB This paper discusses whether existing coastal risk reduction policies in French Polynesia-a French Overseas Territory with a high degree of political autonomy-(i) consider current and future coastal risks from climate variability and change, and (ii) are designed to evolve as new knowledge on climate change emerges. The analysis relies on the study of risk-relevant policy documents and considers Coastal risk integration (i.e. extent to which coastal hazards and associated impacts are considered) and Adjustability (i.e. potential for the policy documents to be adjusted over time) as proxy outcomes for climate change policy integration more broadly. The results show that there are still important gaps relating to an insufficient incorporation of climate-related coastal hazards into the existing policy documents, and to difficulties in both implementing these documents and making them more climate change-compatible. While recent examples on the ground provide encouraging early signs towards more adjustable local policies, they are to date too time- and/or space-bounded to represent any real shift at the territory level.
C1 [Magnan, Alexandre K.; Anisimov, Ariadna] Sci Po, Inst Sustainable Dev & Int Relat, 27 Rue St Guillaume, F-75007 Paris, France.
   [Magnan, Alexandre K.; Viriamu, Toanui; Moatty, Annabelle; Duvat, Virginie K. E.; Stahl, Lucile] Univ La Rochelle, CNRS, UMR7266, LIENSs Lab, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
   [Magnan, Alexandre K.; Viriamu, Toanui; Moatty, Annabelle; Duvat, Virginie K. E.; Stahl, Lucile] Univ La Rochelle, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
   [Viriamu, Toanui] Direct Culture & Patrimoine, F-98703 Tahiti, French Polynesi, France.
   [Moatty, Annabelle] Aix Marseille Univ, UMR RECOVER, 3275 Route Cezanne, F-13100 La Tholonet, France.
   [Le Cozannet, Goneri] Bur Rech Geol & Minieres, OrleansRP, R3C, 3 Ave Claude Guillemin, F-45060 Orleans, France.
C3 Institut d'Etudes Politiques Paris (Sciences Po); La Rochelle
   Universite; Centre National de la Recherche Scientifique (CNRS); CNRS -
   Institute of Ecology & Environment (INEE); La Rochelle Universite;
   Aix-Marseille Universite; Bureau de Recherches Geologiques et Minieres
   (BRGM)
RP Magnan, AK (corresponding author), Sci Po, Inst Sustainable Dev & Int Relat, 27 Rue St Guillaume, F-75007 Paris, France.; Magnan, AK (corresponding author), Univ La Rochelle, CNRS, UMR7266, LIENSs Lab, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.; Magnan, AK (corresponding author), Univ La Rochelle, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
EM alexandre.magnan@iddri.org
RI Moatty, Annabelle/AFM-5586-2022; Duvat, Virginie/GLN-3102-2022; Le
   Cozannet, Goneri/F-2005-2011; Magnan, Alexandre/I-3377-2017
OI Moatty, Annabelle/0000-0003-0175-646X; Magnan,
   Alexandre/0000-0001-7421-5184
FU French National Research Agency; European Union [ANR-15-CE03-0003];
   Investissements d'avenir programme [ANR-10-LABX-14-01]; INSeaPTION
   [690462]
FX The authors thank the French National Research Agency and the European
   Union for their support to the following projects: STORISK (grant
   ANR-15-CE03-0003), INSeaPTION (grant 690462), and the `Investissements
   d'avenir programme' (grant ANR-10-LABX-14-01).
CR Ah-Scha J, 2015, RAPPORT PROJET LOI P
   Alter-echo & PTPU, 2020, COM SUIV 7 COMPT REN
   André K, 2012, J ENVIRON POL PLAN, V14, P243, DOI 10.1080/1523908X.2012.702562
   Andrew NL, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223249
   [Anonymous], 2014, WR201401 KNMI
   [Anonymous], 2019, PLAN PRVENT RISQ NAT
   [Anonymous], 2018, WORKSH UT POL FRAN 2
   [Anonymous], 2017, RNZ
   Archie KM, 2018, ENVIRON DEV, V28, P19, DOI 10.1016/j.envdev.2018.09.003
   Aubanel A, 1999, OCEAN COAST MANAGE, V42, P419, DOI 10.1016/S0964-5691(99)00023-X
   AUBERT B., 1985, THESIS U BORDEAUX 2
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Becker M, 2012, GLOBAL PLANET CHANGE, V80-81, P85, DOI 10.1016/j.gloplacha.2011.09.004
   Bessat F, 2006, IMPACTS RCHAUFFEMENT
   Biesbroek R, 2021, CURR OPIN ENV SUST, V52, P75, DOI 10.1016/j.cosust.2021.07.003
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   BRGM, 2010, BRGMRP58990FR
   BRGM, 2001, BRGMRP51226FR
   BRGM, 2013, BRGMRP61888FR
   CAA Paris, 2019, DEC N17PA02376 28 MA
   Canavesio R, 2019, GLOBAL PLANET CHANGE, V177, P116, DOI 10.1016/j.gloplacha.2019.03.018
   Candel JJL, 2016, POLICY SCI, V49, P211, DOI 10.1007/s11077-016-9248-y
   Chadenas C, 2014, J COAST CONSERV, V18, P529, DOI 10.1007/s11852-013-0299-3
   Chand SS, 2017, NAT CLIM CHANGE, V7, P123, DOI [10.1038/nclimate3181, 10.1038/NCLIMATE3181]
   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
   DIRMOM, 2021, RAPP DACT MAI 2019 J
   Duvat VKE, 2020, GEOMORPHOLOGY, V354, DOI 10.1016/j.geomorph.2020.107057
   Duvat VKE, 2020, SUSTAIN SCI, V15, P569, DOI 10.1007/s11625-019-00722-8
   Duvat V, 2019, GEOMORPHOLOGY, V325, P70, DOI 10.1016/j.geomorph.2018.09.029
   Duvat VKE, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.700
   Duvat VKE, 2017, GLOBAL PLANET CHANGE, V158, P134, DOI 10.1016/j.gloplacha.2017.09.016
   Duvat VKE, 2017, GEOMORPHOLOGY, V282, P96, DOI 10.1016/j.geomorph.2017.01.002
   Etienne S, 2012, GEOL SOC SPEC PUBL, V361, P21, DOI 10.1144/SP361.4
   Ewart A, 2021, GUIDE PRATIQUE AFFAI
   Federacion Internacional por los Derechos Humanos, 2017, EC MAS MIN CORD COND
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Garner AJ, 2018, EARTHS FUTURE, V6, P1603, DOI 10.1029/2018EF000991
   Gattuso JP, 2015, SCIENCE, V349, DOI 10.1126/science.aac4722
   Genovese E, 2013, J RISK RES, V16, P825, DOI 10.1080/13669877.2012.737826
   Glavovic B., 2015, Climate Change and the Coast: Building Resilient Communities, DOI [10.1201/b18053, DOI 10.1201/B18053]
   Goeldner-Gianella L, 2019, OCEAN COAST MANAGE, V172, P14, DOI 10.1016/j.ocecoaman.2019.01.018
   Green M, 2014, CLIM RISK MANAG, V1, P63, DOI 10.1016/j.crm.2013.11.001
   Gussmann G, 2021, ENVIRON SCI POLICY, V115, P35, DOI 10.1016/j.envsci.2020.09.028
   Haasnoot M, 2021, SCIENCE, V372, P1287, DOI 10.1126/science.abi6594
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Handmer J, 2019, CLIM RISK MANAGE POL, P365, DOI 10.1007/978-3-319-72026-5_15
   Hoeke RK, 2013, GLOBAL PLANET CHANGE, V108, P128, DOI 10.1016/j.gloplacha.2013.06.006
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   IEOM, 2020, 297 IEOM
   INSEE, 2017, REC POP
   ISPF, 2018, 1196 ISPF
   JOP F, 2016, J OFFICIEL POLYNSIE
   JOPF, 2019, J OFFICIEL POLYNSIE
   JOPF, 2010, J OFFICIEL POLYNSIE
   JOPF, 2018, J OFFICIEL POLYNSIE
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Kumar L, 2015, NAT CLIM CHANGE, V5, P992, DOI [10.1038/NCLIMATE2702, 10.1038/nclimate2702]
   Lambert E, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8336
   Laurent V, 2014, HIST CYCLONES POLYNS
   Le Cozannet G, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5040049
   Le Cozannet G, 2013, J COASTAL RES, P2137, DOI 10.2112/SI65-361.1
   Lecacheux S., 2014, NAT HAZARDS EARTH SY, V2, P725, DOI [10.5194/nhessd-2-725-2014, DOI 10.5194/NHESSD-2-725-2014]
   Lowe J. A., 2019, UKCP18 science overview report
   Lowe J.A., 2009, UK CLIMATE PROJECTIO
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Magnan A.K., 2018, VertigO-la revue electronique en sciences de l'environnement, V18, P3, DOI [10.4000/vertigo.23607, DOI 10.4000/VERTIGO.23607]
   Mallin MAF, 2018, MAR POLICY, V97, P244, DOI 10.1016/j.marpol.2018.04.021
   Martínez-Asensio A, 2019, GLOBAL PLANET CHANGE, V176, P132, DOI 10.1016/j.gloplacha.2019.03.008
   MATE/METL, 1999, PLANS PREV RISQ NAT
   MBG, 2015, PLAN AM GEST NOUV PR, P2015
   MEDDTL, 2011, MIN EC DVEL DUR TRAN
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Mentaschi L, 2017, GEOPHYS RES LETT, V44, P2416, DOI 10.1002/2016GL072488
   Moatty A, 2017, Floods, V2, P349
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   New M., 2022, Climate Change 2022: Impacts, Adaptation
   Nicholls RJ, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.706
   Olazabal M, 2019, INT J URBAN SUSTAIN, V11, P277, DOI 10.1080/19463138.2019.1583234
   Oppenheimer M., IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, DOI [10.1017/9781009157964.006, DOI 10.1017/9781009157964.006, DOI 10.1126/SCIENCE.AAM6284]
   Pasquier U, 2020, ENVIRON SCI POLICY, V103, P50, DOI 10.1016/j.envsci.2019.10.016
   Pedreros R, 2018, J COASTAL RES, P1046, DOI 10.2112/SI85-210.1
   Perry CT, 2018, NATURE, V558, P396, DOI 10.1038/s41586-018-0194-z
   Ranasinghe R., 2021, CONTRIBUTION WORKING
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   SAGE, 2019, RAPP ORG INT CONTR S
   Salmon C, 2019, ANTHROPOCENE, V25, DOI 10.1016/j.ancene.2019.100191
   SAU, 2016, PLAN PRVENT RISQ NAT
   Slangen ABA, 2012, CLIM DYNAM, V38, P1191, DOI 10.1007/s00382-011-1057-6
   Smithers SG, 2014, GEOMORPHOLOGY, V222, P106, DOI 10.1016/j.geomorph.2014.03.042
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Stahl L, 2018, TUDES CARIBENNES, V41, DOI [10.4000/etudescaribeennes.13106, DOI 10.4000/ETUDESCARIBEENNES.13106]
   Stephens SA, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5030040
   Stocker, 2014, CLIMATE CHANGE 2013
   Terorotua H, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00160
   Thiéblemont R, 2019, WATER-SUI, V11, DOI 10.3390/w11122607
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Walker BLE, 2014, GEOJOURNAL, V79, P705, DOI 10.1007/s10708-014-9548-8
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   [Weyer N.M. IPCC IPCC], 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 104
TC 4
Z9 4
U1 0
U2 4
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD JUN
PY 2022
VL 22
IS 2
AR 76
DI 10.1007/s10113-022-01933-z
PG 19
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 1T5BC
UT WOS:000804742800002
DA 2025-01-10
ER

PT J
AU Pihlainen, S
   Zandersen, M
   Hyytiäinen, K
   Andersen, HE
   Bartosova, A
   Gustafsson, B
   Jabloun, M
   McCrackin, M
   Meier, HEM
   Olesen, JE
   Saraiva, S
   Swaney, D
   Thodsen, H
AF Pihlainen, Sampo
   Zandersen, Marianne
   Hyytiainen, Kari
   Andersen, Hans Estrup
   Bartosova, Alena
   Gustafsson, Bo
   Jabloun, Mohamed
   McCrackin, Michelle
   Meier, H. E. Markus
   Olesen, Jorgen E.
   Saraiva, Sofia
   Swaney, Dennis
   Thodsen, Hans
TI Impacts of changing society and climate on nutrient loading to the
   Baltic Sea
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Agriculture; Climate adaptation; Eutrophication; Integrated modelling;
   Long-term projections; Wastewater treatment
ID SHARED SOCIOECONOMIC PATHWAYS; SCENARIOS; ADAPTATION; SANITATION; MODEL
AB This paper studies the relative importance of societal drivers and changing climate on anthropogenic nutrient inputs to the Baltic Sea. Shared Socioeconomic Pathways and Representative Concentration Pathways are extended at temporal and spatial scales relevant for the most contributing sectors. Extended socioeconomic and climate scenarios are then used as inputs for spatially and temporally detailed models for population and land use change, and their subsequent impact on nutrient loading is computed. According to the model simulations, several factors of varying influence may either increase or decrease total nutrient loads. In general, societal drivers outweigh the impacts of changing climate. Food demand is the most impactful driver, strongly affecting land use and nutrient loads from agricultural lands in the long run. In order to reach the good environmental status of the Baltic Sea, additional nutrient abatement efforts should focus on phosphorus rather than nitrogen. Agriculture is the most important sector to be addressed under the conditions of gradually increasing precipitation in the region and increasing global demand for food. (C) 2020 The Authors. Published by Elsevier B.V.
C1 [Pihlainen, Sampo; Zandersen, Marianne; Hyytiainen, Kari; Andersen, Hans Estrup; Bartosova, Alena; Gustafsson, Bo; Jabloun, Mohamed; McCrackin, Michelle; Meier, H. E. Markus; Olesen, Jorgen E.; Saraiva, Sofia; Swaney, Dennis; Thodsen, Hans] Dept Econ & Management, POB 27, FI-00014 Helsinki, Finland.
RP Hyytiäinen, K (corresponding author), Dept Econ & Management, POB 27, FI-00014 Helsinki, Finland.
EM kari.hyytiainen@helsinki.fi
RI Olesen, Jørgen/Y-2857-2019; Swaney, Dennis/AAD-7576-2020; Zandersen,
   Marianne/AAF-1323-2020; Bartosova, Alena/HSC-1368-2023; Gustafsson,
   Bo/GQH-3048-2022; Thodsen, Hans/K-5786-2013; McCrackin,
   Michelle/O-9749-2014
OI Thodsen, Hans/0000-0002-6542-4934; McCrackin,
   Michelle/0000-0002-8570-2831; Pihlainen, Sampo/0000-0002-0902-9040;
   Bartosova, Alena/0009-0006-2983-9231; Olesen, Jorgen
   E./0000-0002-6639-1273; Hyytiainen, Kari/0000-0002-4366-0186; Meier, H.
   E. Markus/0000-0001-5855-4645; Swaney, Dennis/0000-0003-1948-4087;
   Zandersen, Marianne/0000-0002-3827-3990; Andersen, Hans
   Estrup/0000-0003-2465-583X
FU BONUS, the Joint Baltic Sea Research and Development Programme (Art
   185); European Union; Innovation Fund Denmark; Swedish Environmental
   Protection Agency (Natuivadsverket); Academy of Finland; Baltic Nest
   Institute; Swedish Agency for Marine and Water Management
FX We would like to thank Erik Smedberg, Emma Terama and AnnaKaisa Kosenius
   for constructive discussions. This work is a result of a joint effort of
   the BONUS projects 'Wellbeing from the Baltic Sea-applications combining
   natural science and economics (BALTICAPP)' and 'Reducing nutrient
   loadings from agricultural soils to the Baltic Sea via groundwater and
   streams (SOILS2SEA)'. The projects received funding from BONUS, the
   Joint Baltic Sea Research and Development Programme (Art 185), funded
   jointly from the European Union's Seventh Framework Programme for
   research, technological development and demonstration and from
   Innovation Fund Denmark, The Swedish Environmental Protection Agency
   (Natuivadsverket), and the Academy of Finland. The work by Bo Gustafsson
   was co-funded through the Baltic Nest Institute, which is supported by
   the Swedish Agency for Marine and Water Management through their grant
   1: 11-Measures for marine and water environment. The research presented
   in this study is part of the Baltic Earth (Earth System Science for the
   Baltic Sea Region) program.
CR Ahlvik L, 2014, ENVIRON MODELL SOFTW, V55, P164, DOI 10.1016/j.envsoft.2014.01.027
   [Anonymous], 2015, BALT SEA ENV P
   [Anonymous], 2007, HELCOM Baltic Sea Action Plan adopted by the HELCOM Ministerial meeting, Krakow, Poland 15th November 2007
   Bartosova A., 2018, PROJECTED IMPACTS CL
   Bartosova A, 2019, AMBIO, V48, P1325, DOI 10.1007/s13280-019-01243-5
   Bauer N, 2017, GLOBAL ENVIRON CHANG, V42, P316, DOI 10.1016/j.gloenvcha.2016.07.006
   Booth EG, 2016, ENVIRON MODELL SOFTW, V85, P80, DOI 10.1016/j.envsoft.2016.08.008
   Dellink R, 2017, GLOBAL ENVIRON CHANG, V42, P200, DOI 10.1016/j.gloenvcha.2015.06.004
   Donnelly C, 2017, CLIMATIC CHANGE, V143, P13, DOI 10.1007/s10584-017-1971-7
   Donnelly C, 2016, HYDROLOG SCI J, V61, P255, DOI 10.1080/02626667.2015.1027710
   Elofsson K, 2010, MAR POLICY, V34, P1043, DOI 10.1016/j.marpol.2010.03.003
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Gustafsson BG, 2012, AMBIO, V41, P534, DOI 10.1007/s13280-012-0318-x
   Gustafsson E, 2017, BIOGEOCHEMISTRY, V134, P301, DOI 10.1007/s10533-017-0361-6
   Hasler B, 2014, WATER RESOUR ECON, V5, P1, DOI 10.10161/j.vvre.2014.05.001
   Heal G, 2014, REV ENV ECON POLICY, V8, P120, DOI 10.1093/reep/ret023
   Hofstra N, 2016, INT J HYG ENVIR HEAL, V219, P599, DOI 10.1016/j.ijheh.2016.06.005
   Huttunen I, 2015, SCI TOTAL ENVIRON, V529, P168, DOI 10.1016/j.scitotenv.2015.05.055
   Leimbach M, 2017, GLOBAL ENVIRON CHANG, V42, P215, DOI 10.1016/j.gloenvcha.2015.02.005
   Lundin M, 2000, ENVIRON SCI TECHNOL, V34, P180, DOI 10.1021/es990003f
   March H, 2012, ECOL ECON, V82, P126, DOI 10.1016/j.ecolecon.2012.07.006
   McCrackin ML, 2018, GLOBAL BIOGEOCHEM CY, V32, P1107, DOI 10.1029/2018GB005914
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Murray CJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00002
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Olesen JE, 2019, AMBIO, V48, P1252, DOI 10.1007/s13280-019-01254-2
   Österblom H, 2013, BIOSCIENCE, V63, P735, DOI 10.1093/bioscience/63.9.735
   Popp A, 2017, GLOBAL ENVIRON CHANG, V42, P331, DOI 10.1016/j.gloenvcha.2016.10.002
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Saraiva S, 2019, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00244
   Saraiva S, 2019, CLIM DYNAM, V52, P3369, DOI 10.1007/s00382-018-4330-0
   Schernewski G, 2005, J MARINE SYST, V53, P109, DOI 10.1016/j.jmarsys.2004.03.007
   Turner RK, 1999, ECOL ECON, V30, P333, DOI 10.1016/S0921-8009(99)00046-4
   van Puijenbroek PJTM, 2015, WATER SCI TECHNOL, V71, P227, DOI 10.2166/wst.2014.498
   van Ruijven BJ, 2014, CLIMATIC CHANGE, V122, P481, DOI 10.1007/s10584-013-0931-0
   Voss M, 2011, ESTUAR COAST SHELF S, V92, P307, DOI 10.1016/j.ecss.2010.12.037
   WHO/UNICEF Joint Water Supply & Sanitation Monitoring Programme, 2014, Progress on Drinking Water and Sanitation: 2014 Update
   Wiebe K, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085010
   Zandersen M, 2019, REG ENVIRON CHANGE, V19, P1073, DOI 10.1007/s10113-018-1453-0
NR 40
TC 24
Z9 25
U1 1
U2 42
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD AUG 20
PY 2020
VL 731
AR 138935
DI 10.1016/j.schnew.2001.1.138935
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LX1YH
UT WOS:000539634100002
PM 32428749
DA 2025-01-10
ER

PT J
AU Driessen, PPJ
   Hegger, DLT
   Kundzewicz, ZW
   van Rijswick, HFMW
   Crabbé, A
   Larrue, C
   Matczak, P
   Pettersson, M
   Priest, S
   Suykens, C
   Raadgever, GT
   Wiering, M
AF Driessen, Peter P. J.
   Hegger, Dries L. T.
   Kundzewicz, Zbigniew W.
   van Rijswick, Helena F. M. W.
   Crabbe, Ann
   Larrue, Corinne
   Matczak, Piotr
   Pettersson, Maria
   Priest, Sally
   Suykens, Cathy
   Raadgever, Gerrit Thomas
   Wiering, Mark
TI Governance Strategies for Improving Flood Resilience in the Face of
   Climate Change
SO WATER
LA English
DT Article
DE flood risk management; flood resilience; governance strategies; climate
   change
ID RISK-MANAGEMENT; RIVER FLOODS; CONSEQUENCES; JUSTICE; IMPLEMENTATION;
   BENEFITS; EUROPE
AB Flooding is the most common of all natural disasters and accounts for large numbers of casualties and a high amount of economic damage worldwide. To be 'flood resilient', countries should have sufficient capacity to resist, the capacity to absorb and recover, and the capacity to transform and adapt. Based on international comparative research, we conclude that six key governance strategies will enhance 'flood resilience' and will secure the necessary capacities. These strategies pertain to: (i) the diversification of flood risk management approaches; (ii) the alignment of flood risk management approaches to overcome fragmentation; (iii) the involvement, cooperation, and alignment of both public and private actors in flood risk management; (iv) the presence of adequate formal rules that balance legal certainty and flexibility; (v) the assurance of sufficient financial and other types of resources; (vi) the adoption of normative principles that adequately deal with distributional effects. These governance strategies appear to be relevant across different physical and institutional contexts. The findings may also hold valuable lessons for the governance of climate adaptation more generally.
C1 [Driessen, Peter P. J.; Hegger, Dries L. T.] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
   [Kundzewicz, Zbigniew W.] Polish Acad Sci, Inst Agr & Forest Environm, Bukowska 19, PL-60809 Poznan, Poland.
   [Kundzewicz, Zbigniew W.] Potsdam Inst Climate Impact Res, Telegrafenberg A 31, D-14473 Potsdam, Germany.
   [van Rijswick, Helena F. M. W.; Suykens, Cathy] Univ Utrecht, Sch Law, Utrecht Ctr Water Oceans & Sustainabil Law, Newtonlaan 201, NL-3584 BH Utrecht, Netherlands.
   [Crabbe, Ann] Univ Antwerp, Fac Social Sci, Sociol Dept, Res Grp Environm & Soc, Sint Jacobsstraat 2,SM 380, B-2000 Antwerp, Belgium.
   [Larrue, Corinne] Paris Est Univ, Lab Urba, Paris Sch Planning, 14-20 Bd Newton, F-77454 Marne La Vallee 2, France.
   [Matczak, Piotr] Adam Mickiewicz Univ, Inst Sociol, Ul Szamarzewskiego 89c, PL-60568 Poznan, Poland.
   [Pettersson, Maria] Lulea Univ Technol, Law Unit, SE-97187 Lulea, Sweden.
   [Priest, Sally] Middlesex Univ, Flood Hazard Res Ctr, London NW4 4BT, England.
   [Suykens, Cathy] Katholieke Univ Leuven, Inst Environm & Energy Law, Oude Markt 13 Bus 5500, B-3000 Leuven, Belgium.
   [Raadgever, Gerrit Thomas] Sweco Netherlands BV, Holle Bilt 22, NL-3743 HM De Bilt, Netherlands.
   [Wiering, Mark] Radboud Univ Nijmegen, Inst Management Res, Heyendaalseweg 141, NL-6525 AJ Nijmegen, Netherlands.
C3 Utrecht University; Polish Academy of Sciences; Potsdam Institut fur
   Klimafolgenforschung; Utrecht University; University of Antwerp;
   Universite Gustave-Eiffel; Universite Paris-Est-Creteil-Val-de-Marne
   (UPEC); Adam Mickiewicz University; Lulea University of Technology;
   Middlesex University; KU Leuven; Radboud University Nijmegen
RP Hegger, DLT (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
EM p.driessen@uu.nl; d.l.t.hegger@uu.nl; kundzewicz@yahoo.com;
   h.vanrijswick@uu.nl; ann.crabbe@uantwerpen.be; corinne.larrue@u-pec.fr;
   matczak@amu.edu.pl; maria.pettersson@ltu.se; s.priest@mdx.ac.uk;
   c.b.r.suykens@uu.nl; tom.raadgever@sweco.nl; m.wiering@fm.ru.nl
RI Matczak, Piotr/N-2059-2019; Hegger, Dries/S-8727-2016; Wiering,
   Mark/AAD-8358-2022; Driessen, Peter/M-6751-2013; Hegger,
   Dries/L-9301-2013
OI Driessen, Peter/0000-0002-0724-6666; Suykens, Cathy/0000-0002-0621-8786;
   Kundzewicz, Zbigniew/0000-0002-3579-5072; van Rijswick,
   Helena/0000-0002-0492-1718; Hegger, Dries/0000-0003-2721-3527; Crabbe,
   Ann/0000-0001-5179-2544; Matczak, Piotr/0000-0002-8638-0141
FU EUROPEAN COMMISSION within its Seventh Framework Programme [308364]
FX This research was funded by the EUROPEAN COMMISSION within its Seventh
   Framework Programme through the grant to the budget of the Integrated
   Project STAR-FLOOD, Contract 308364. The APC was covered by the
   institution of the lead author.
CR Aerts JCJH, 2008, ECOL SOC, V13
   Alexander M., 2016, Analysing and Evaluating Flood Risk Governance in England-Enhancing Societal Resilience through Comprehensive and Aligned Flood Risk Governance Arrangements
   Alexander M, 2018, REG ENVIRON CHANGE, V18, P397, DOI 10.1007/s10113-017-1195-4
   [Anonymous], 2017, J RISK RES, V20, P711, DOI [10.1080/13669877.2015.1100662, DOI 10.1080/13669877.2015.1100662]
   [Anonymous], THESIS
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08592-210401
   [Anonymous], 2014, OECD STUD WAT, DOI DOI 10.1787/9789264102637-EN
   Arthur R, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0189327
   Dai L., DEALING DISTRIBUTION
   De Risi R, 2018, INT J DISAST RISK RE, V28, P88, DOI 10.1016/j.ijdrr.2018.02.026
   Department for Environment Food and Rural Affairs (Defra), 2011, FLOOD COAST RES PART
   Dieperink C, 2016, WATER RESOUR MANAG, V30, P4467, DOI 10.1007/s11269-016-1491-7
   Ek K., 2016, ANAL EVALUATING FLOO
   Environment Agency, 2018, FLOOD COAST ER RISK
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fournier M, 2016, ECOL SOC, V21, DOI 10.5751/ES-08991-210449
   Gilissen H.K., 2015, J WATER LAW, V25, P12
   Gilissen HK, 2016, ECOL SOC, V21, DOI 10.5751/ES-08723-210427
   Goytia S, 2016, ECOL SOC, V21, DOI 10.5751/ES-08908-210423
   Gralepois M, 2016, ECOL SOC, V21, DOI 10.5751/ES-08907-210437
   Green OO, 2013, ECOL SOC, V18, DOI 10.5751/ES-05357-180210
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hegger D., 2016, A view on more resilient flood risk governance: key conclusions from the STAR -FLOOD project'
   HEGGER DLT, 2016, ECOL SOC, V21, DOI DOI 10.5751/ES-08854-210452
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Kaufmann M., 2016, DROWNING SAFETY ANAL
   Keessen AM, 2012, UTRECHT LAW REV, V8, P38
   Keessen AM, 2010, J ENVIRON LAW, V22, P197, DOI 10.1093/jel/eqq003
   Klijn F, 2008, INT J RIVER BASIN MA, V6, P307, DOI 10.1080/15715124.2008.9635358
   Kolen B, 2014, DISASTERS, V38, P610, DOI 10.1111/disa.12059
   Kundzewicz ZW, 2017, HYDROLOG SCI J, V62, P1, DOI 10.1080/02626667.2016.1241398
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Larrue Corinne., 2016, Analysing and Evaluating Flood Risk Governance in France: From State Policy to Local Strategies
   LAZARUS RJ, 1993, NORTHWEST U LAW REV, V87, P787
   Matczak P., 2016, FLOOD RISK GOVERNANC
   Mees H., 2016, ANAL EVALUATING FLOO
   Mees H, 2016, ECOL SOC, V21, DOI 10.5751/ES-08500-210307
   Messeri A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144468
   Penning-Rowsell E, 2015, ENVIRON PLANN C, V33, P1301, DOI 10.1068/c13241
   Pettersson M, 2017, WATER INT, V42, P929, DOI 10.1080/02508060.2017.1393716
   Priest SJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08913-210450
   Raadgever G.T., 2018, FLOOD RISK MANAGEMEN
   Rojas R, 2013, GLOBAL ENVIRON CHANG, V23, P1737, DOI 10.1016/j.gloenvcha.2013.08.006
   Suykens C., 2015, EUROPEAN ENERGY ENV, V24, P134
   Thaler T, 2016, NAT HAZARDS, V83, P129, DOI 10.1007/s11069-016-2305-1
   THAMPAPILLAI DJ, 1985, WATER RESOUR RES, V21, P411, DOI 10.1029/WR021i004p00411
   Thieken AH, 2016, ECOL SOC, V21, DOI 10.5751/ES-08547-210251
   Tullos D, 2018, P NATL ACAD SCI USA, V115, P3731, DOI 10.1073/pnas.1722412115
   van Buuren A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08765-210443
   van den Brink M, 2011, J WATER CLIM CHANGE, V2, P272, DOI 10.2166/wcc.2011.044
   Van Doorn-Hoekveld W., 2017, EUR ENERGY ENV LAW R, V26, P81
   Van Doorn-Hoekveld W., 2017, REV EUROPEAN ADM LAW, V10, P81, DOI [10.7590/187479817X14945955771984, DOI 10.7590/187479817X14945955771984]
   Van Doorn-Hoekveld W.J., 2018, THESIS
   van Doorn-Hoekveld WJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08648-210426
   van Rijswick H.F. M. W., 2012, European and Dutch water law
   Walker B, 2004, ECOL SOC, V9
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
NR 59
TC 71
Z9 75
U1 8
U2 51
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2018
VL 10
IS 11
AR 1595
DI 10.3390/w10111595
PG 16
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA HC3XM
UT WOS:000451736300102
OA Green Published, gold
DA 2025-01-10
ER

PT C
AU Ponzio, C
   Ricci, A
   Naboni, E
   Fabbri, K
   Gaspari, J
AF Ponzio, Caterina
   Ricci, Adele
   Naboni, Emanuele
   Fabbri, Kristian
   Gaspari, Jacopo
BE Ng, E
   Fong, S
   Ren, C
TI Development of an Adaptive Passive Facade: A Replicable Approach for
   Managing Multiple Design Solutions
SO SMART AND HEALTHY WITHIN THE TWO-DEGREE LIMIT (PLEA 2018), VOL 1
LA English
DT Proceedings Paper
CT 34th International Conference on Passive and Low Energy Architecture
   (PLEA) - Smart and Healthy Within the Two-Degree Limit
CY DEC 10-12, 2018
CL Hong Kong, HONG KONG
SP Chinese Univ Hong Kong, Inst Future Cities, Chinese Univ Hong Kong, Inst Energy Environm & Sustainabil
DE Adaptive Facade; Parametric Design; Daylight; Energy Efficiency;
   Building Shells
ID OFFICES
AB Users' well being and satisfaction are a key priority in the current architectural design trends and represent a relevant issue in a human-centred perspective. Concerning this aim, the application of climate adaptive building shells (CABS) offers relevant opportunities for tackling these challenges. This paper reports the outcomes of a study run on CABS to optimise the indoor comfort while calibrating the configuration of a dynamic facade module. Through the physical measurements of the environment and the integration of these values in the parametric process for integrating daylight and thermal performance into the design phase, a performance-based workflow evaluation supported the design of a Passive Adaptive Facade.
   The purpose of this work is to provide a replicable method that is the base of a facade system design. The system, made of simple horizontal louvres, has a controlled movement manoeuvred by an actuator that exploits the expansion of a thermo-active resin. The louvres can rotate and close passively with the increase of the external temperature. Results show the uniformity of distribution of daylight across the entire space and the substantial gain of indoor thermal comfort.
C1 [Ricci, Adele] Univ Architecture Bologna, Cesena, Italy.
   [Naboni, Emanuele] Royal Danish Acad Fine Arts, Copenhagen, Denmark.
   [Fabbri, Kristian; Gaspari, Jacopo] Univ Bologna, Dept Architecture, Cesena, Italy.
C3 University of Bologna
RI Gaspari, Jacopo/AAC-5542-2019; Fabbri, Kristian/P-5585-2015
OI Fabbri, Kristian/0000-0003-0919-7455; naboni,
   emanuele/0000-0002-6381-6491; GASPARI, JACOPO/0000-0002-8361-2963
CR AYMAN HAM, 2016, PARAMETRIC BASED DES
   Bluyssen PM, 2011, BUILD ENVIRON, V46, P280, DOI 10.1016/j.buildenv.2010.07.024
   Boerstra A, 2013, ARCHIT SCI REV, V56, P30, DOI 10.1080/00038628.2012.744298
   Cole RJ, 2009, INTELL BUILD INT, V1, P39, DOI 10.3763/inbi.2009.0007
   David M, 2011, BUILD ENVIRON, V46, P1489, DOI 10.1016/j.buildenv.2011.01.022
   Davidson S, 2009, Grasshopper-Algorithmic Modeling for Rhino
   Galasiu AD, 2006, ENERG BUILDINGS, V38, P728, DOI 10.1016/j.enbuild.2006.03.001
   Godfried A., 2011, BUILDING PERMANCE
   Keller B., 2010, PINPOINT KEY FACTS F
   Leung C., 2014, BARTLETT SCH ARCHITE
   Loonen R., THESIS
   Loonen R.C.G.M., 2010, PERFORMANCE SIMULATI
   Nielsen MV, 2011, SOL ENERGY, V85, P757, DOI 10.1016/j.solener.2011.01.010
   Paciuk M., 1989, P 21 ENV RES ASS M
   Schumacher Michael., 2010, MOVE: Architecture in Motion - Dynamic Components and Elements
   Shen H, 2012, SOL ENERGY, V86, P681, DOI 10.1016/j.solener.2011.11.016
   UNI EN ISO 7726, 2002, ERG THERM ENV INSTR
NR 17
TC 1
Z9 1
U1 0
U2 1
PU CHINESE UNIV HONG KONG, SCH ARCHITECTURE
PI SHATIN
PA LEE SHAU KEE ARCHITECTURE BUILDING, SHATIN, HONG KONG
BN 978-962-8272-36-5
PY 2018
BP 353
EP 358
PG 6
WC Architecture; Green & Sustainable Science & Technology
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Architecture; Science & Technology - Other Topics
GA BQ5ZG
UT WOS:000609754400059
DA 2025-01-10
ER

EF