﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Zuccaro, G
   Leone, MF
   Martucci, C
AF Zuccaro, G.
   Leone, M. F.
   Martucci, C.
TI Future research and innovation priorities in the field of natural
   hazards, disaster risk reduction, disaster risk management and climate
   change adaptation: a shared vision from the ESPREssO project
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Sendai framework; DRR and CCA integration; Resilience; Research and
   Innovation
AB The H2020 ESPREssO project (Enhancing Synergies for Disaster Prevention in the European Union), aimed at identifying the existing gaps and key priorities for Research and Innovation (R&I) in the domains of Natural Hazards (NH), Disaster Risk Reduction (DRR), Disaster Risk Management (DRM) and Climate Change Adaptation (CCA). Key research priorities have been framed within the Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) and the related EU Action Plan, exploring the opportunities emerging from the linkages with the Sendai priorities and the key overarching issues from the literature review and networking activities carried out by ESPREssO project. The many ongoing initiatives at European and Global levels on NH, DRR, DRM and CCA and have been taken into account, with the aim of providing a harmonised framework able to capture the complexity of these fields, in terms of research and innovation and deliver a synthesized view of the emerging priorities.
   The paper identifies five broad areas of R&I in the field of DRR and CCA where EU investment is needed, highlighting for each of them relevant key topics of investigation. These areas (Improved Risk and Impact Assessment; Better Data for Resilient Future; Risk Governance and Partnership; Overcoming the Implementation Gap in DRR and CCA; Human Behaviour and Disaster Risk) have been suggested by the ESPREssO "Vision Paper" [1] as an answer to the relevant gaps and needs as expressed by the network of stakeholders and international experts engaged during the project. The Vision Paper is available at http://www.espressoproject.eu/images/de liverables/ESPREssO_D5.5.pdf.
C1 [Zuccaro, G.; Leone, M. F.; Martucci, C.] Univ Naples Federico II, PLINIVS Study Ctr, Via Toledo 402, I-80134 Naples, Italy.
C3 University of Naples Federico II
RP Zuccaro, G (corresponding author), Univ Naples Federico II, PLINIVS Study Ctr, Via Toledo 402, I-80134 Naples, Italy.
EM zuccaro@unina.it; mattia.leone@unina.it; casimiro.martucci@unina.it
RI Leone, Mattia/L-4807-2018
OI LEONE, MATTIA FEDERICO/0000-0003-2434-509X; Zuccaro,
   Giulio/0000-0001-8572-067X; MARTUCCI, CASIMIRO/0000-0002-5409-6752
CR Abad J., 2020, INT J DISASTER RISK
   Abbott A., 2014, NATURE NEWS, V515
   Adams K.M., 2020, ADAPTING EXTREMES KE
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2017, Climate change adaptation and disaster risk reduction in Europe: enhancing coherence of the knowledge base, policies and practices
   [Anonymous], 2021, Paris climate agreement
   [Anonymous], INT J DISASTER RISK
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2014, ASS REP TRANSP CHAPT
   [Anonymous], 2015, CITIES EVOLUTION INT
   Bharwani S., 2017, PLACARD 1 VERSION DI
   Booth L, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101616
   Booth L, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101668
   Chandler David., 2016, The Routledge Handbook of International Resilience
   EC, 2020, ADAPTATION CLIMATE C
   EEA, 2017, EEA REPORT NO 122016
   European Commission (EC), 2016, WORK DOC FITN CHECK
   European Commission (EC), 2017, COMM STAFF WORK DOC
   European Union, 2017, NEW EUR CONS DEV OUR
   EUSAIR, 2017, STUD MACR STRAT THEI
   EUSALP, 2017, STUD MACR STRAT THEI
   EUSBSR, 2017, STUD MACR STRAT THEI
   EUSDR, 2017, STUD MACR STRAT THEI
   Fleming K, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101669
   Giddens A., 2013, CONSEQUENCES MODERNI
   Hemingway R, 2018, INT J DISAST RISK RE, V27, P499, DOI 10.1016/j.ijdrr.2017.11.014
   Meyer P.B., 2019, UFZ DISCUSSION PAPER
   Rosenzweig C., 2015, ARC32 SUMMARY CITY L
   Sushchenko O, 2020, EC FINANCE DISASTER
   UNDESA, 2015, SUST DEV GOALS
   UNDESA, 2015, ADD AB ACT AG 3 INT
   UNDRO, 1980, Natural Disasters and Vulnerability Analysis
   Unhabitat, 2016, NEW URB AG
   UNISDR, 2017, WORDS ACT GUID NAT A
   UNISDR, 2016, IMPL HYOG FRAM ACT E
   UNISDR (United Nations International Strategy for Disaster Reduction), 2017, BUILD BACK BETT REC
   United Nations, 2019, World Population Ageing 2019
   UNOCHA, 2016, OUTC WORLD HUM SUMM
   Zuccaro G., 2018, ESPRESSO VISION PAPE
NR 40
TC 34
Z9 34
U1 2
U2 47
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2020
VL 51
AR 101783
DI 10.1016/j.ijdrr.2020.101783
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 PG4MM
UT WOS:000599711000010
DA 2025-01-10
ER

PT S
AU Mohr, K
AF Mohr, Kerstin
BE Filho, WL
   Nagy, GJ
   Borga, M
   Munoz, PDC
   Magnuszewski, A
TI How to Govern Climate Change Without Being Able to Govern: Adaptation
   Governance in Colombia
SO CLIMATE CHANGE, HAZARDS AND ADAPTATION OPTIONS: HANDLING THE IMPACTS OF
   A CHANGING CLIMATE
SE Climate Change Management
LA English
DT Article; Book Chapter
ID SCIENTISTS; POLITICS; POLICY
AB The coordination of climate change adaptation is not merely a technical issue but, above all, requires effective governance. Solid governance structures provide the framework for adequate knowledge, funding, and planning security for practical measures. This is particularly challenging in Colombia, where a difficult topography and weak infrastructures result in high demands for technical solutions. Moreover, the country has experienced over five decades of rural violence leading to political, social and economic disparities as well as to an outspoken mistrust between civil society and political leaders. The hence stretched relations between authorities and citizens have negative impacts on the country's ability to create solid governance structures and adapt successfully-independent of how advanced technical solutions may be. This twofold analysis first elaborates the current state of the art of adaptation governance, outlining the specific challenges and depicting basic elements which have to be addressed when designing an adaptation governance framework. As one of the few papers currently addressing this issue, this analysis pays special attention to the impact of power politics. Second, against the backdrop of this theoretical outline, the wicked case of Colombia is analyzed. Through a qualitative case study design using textual analysis, this chapter focuses on hindering and enabling factors under the conditions of limited state resources. In order to create a holistic understanding, it draws on an interdisciplinary perspective. The analysis concludes with a discussion of the findings. Inferences show that climate change adaptation is highly complex and that technical and societal aspects must both be considered in order to design sustainable solutions. Besides the well-known challenges, a strong research-policy linkage and power dynamics are decisive challenges for the creation of an adaptation governance framework. The case study confirms the importance of these factors.
C1 [Mohr, Kerstin] Univ Potsdam, Fac Econ & Social Sci, August Bebel Str 89, D-14482 Potsdam, Germany.
C3 University of Potsdam
RP Mohr, K (corresponding author), Univ Potsdam, Fac Econ & Social Sci, August Bebel Str 89, D-14482 Potsdam, Germany.
EM kmohr@uni-potsdam.de
CR Abeling T, 2012, CLIMATE CHANGE SECUR
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Amiraslani F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062000
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], IDEAM POL NACL CAMB
   [Anonymous], 2012, CLIMATE CHANGE HUMAN
   [Anonymous], 2009, PLANNING CLIMATE CHA
   [Anonymous], 2015, ENV CLIMATE CHANGE M
   [Anonymous], 2007, HDB GOVERNANCE THEOR
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   [Anonymous], 2015, Adoption of the Paris Agreement
   Ardila G, 2013, DESARROLLO ECONOMICO
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Benz Arthur., 2004, Governance - Regieren in komplexen Regelsystemen
   Braun D, 2008, LEHRBUCH POLITIKFELD
   Bustos M C., 2018, Colombia Internacional, P27, DOI 10.7440/COLOMBIAINT94.2018.02
   Caesar L, 2018, NATURE, V556, P191, DOI 10.1038/s41586-018-0006-5
   Carman R., 2013, LOWEMISSION CAPACITY
   Climate Action Tracker, 2018, TALANOA DIALOGUE INP
   Comstock M, 2012, COLOMBIAS NATL CLIMA
   De Pinto A, 2018, CLIM POLICY, V18, P612, DOI 10.1080/14693062.2017.1321521
   Duit A, 2008, GOVERNANCE, V21, P311, DOI 10.1111/j.1468-0491.2008.00402.x
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Escobar H, 2018, SCIENCE, V362, P273, DOI 10.1126/science.362.6412.273
   Falkner R, 2016, INT AFF, V92, P1107, DOI 10.1111/1468-2346.12708
   Frohlich J., 2013, icinde, Climate Change Governance, P9, DOI [DOI 10.1007/978-3-642-29831-82, 10.1007/978-3-642-29831-8_2, DOI 10.1007/978-3-642-29831-8_2]
   Gonzalez Espinosa A., 2015, PARADOJA SECTOR MINE
   Grant S, 2015, CLIM RISK MANAG, V10, P27, DOI 10.1016/j.crm.2015.09.003
   Green Climate Fund, 2018, COL PRES CALLS ENH P
   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]
   Hill M., 2013, Climate change and water governance: Adaptative capacity in Chile and Switzerland
   Hoffman AJ, 2011, ORGAN ENVIRON, V24, P3, DOI 10.1177/1086026611404336
   Houghton K., 2012, CLIMATE CHANGE FRAGI, P24
   Hoyos N, 2013, APPL GEOGR, V39, P16, DOI 10.1016/j.apgeog.2012.11.018
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Jaramillo M., 2014, COORDINATION CLIMATE
   Javeline D, 2014, PERSPECT POLIT, V12, P420, DOI 10.1017/S1537592714000784
   Keohane RO, 2015, PS-POLIT SCI POLIT, V48, P19, DOI 10.1017/S1049096514001541
   Kooiman J., 2005, Governing as Governance
   Kreft S, 2011, NATL ADAPTATION PLAN
   Leal FilhoW, 2014, INT PERSPECTIVES CLI, P95
   Madzwamuse M., 2010, Climate Governance in Africa: Adaptation Strategies and Institutions
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Morton TA, 2011, GLOBAL ENVIRON CHANG, V21, P103, DOI 10.1016/j.gloenvcha.2010.09.013
   Mubaya CP, 2017, CLIM RISK MANAG, V16, P93, DOI 10.1016/j.crm.2017.03.003
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   NPD, 2014, IMP EC CAMB CLIMAT C
   O'Brien G, 2008, CLIM POLICY, V8, P194, DOI 10.3763/cpol.2007.0430
   OECD (Organization for Economic Co-operation and Development), 2014, OECD ENV PERFORMANCE
   Ostrom E, 2009, Policy Research Working Papers
   PNACC, 2012, PLAN NACL AD CAMB CL
   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]
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rojas-Laserna M, 2014, ADAPTATION CLIMATE C
   [Scheffran J. Messerschmid Messerschmid], 2012, Climate Change, Human Security and Violent Conflict, Hexagon Series on Human and Environmental Security and Peace
   Semana, 2011, CLIM CHANG COL SANT
   Steffen W, 2018, P NATL ACAD SCI USA, V115, P8252, DOI 10.1073/pnas.1810141115
   Steinberg P.F., 2003, GLOBAL ENVIRON POLIT, V3, P11, DOI [10.1162/152638003763336365, DOI 10.1162/152638003763336365]
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Strambo C, 2018, PRIVILEGED COAL POLI
   Termeer CJAM, 2017, Oxford Research Encyclopedia of Climate Science
NR 61
TC 1
Z9 1
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-030-37425-9; 978-3-030-37424-2
J9 CLIM CHANG MANAG
PY 2020
BP 1009
EP 1027
DI 10.1007/978-3-030-37425-9_52
D2 10.1007/978-3-030-37425-9
PG 19
WC Engineering, Civil; Environmental Sciences; Environmental Studies;
   Meteorology & Atmospheric Sciences; Regional & Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Engineering; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences; Public Administration
GA BR9KL
UT WOS:000677532400053
DA 2025-01-10
ER

PT S
AU Nurdin, N
   Rafliana, I
   Hidayati, S
   Oktari, RS
   Djalante, R
AF Nurdin, Nurmalahayati
   Rafliana, Irina
   Hidayati, Sri
   Oktari, Rina Suryani
   Djalante, Riyanti
BE Djalante, R
   Garschagen, M
   Thomalla, F
   Shaw, R
TI Integrating Disaster Risk Reduction and Climate Change Adaptation into
   School Curricula: From National Policy to Local Implementation
SO DISASTER RISK REDUCTION IN INDONESIA: PROGRESS, CHALLENGES, AND ISSUES
SE Disaster Risk Reduction
LA English
DT Article; Book Chapter
DE DRR; CCA; Disaster education; School curriculum; Aceh
AB Integrating Disaster Risk Reduction (DRR) into formal education and curricular has been suggested as one strategy to help increase knowledge and understanding of disaster risks. While there has been some initial progress in initiating DRR integration into the school curriculum in Indonesia, this is mostly limited to the national level. There are however, few studies which try to analyze the integration of disaster knowledge and education into school curriculum comprehensively, from the national policy level to local implementation in schools.
   This chapter aims to review the current progress, challenges and strategies in integrating DRR and Climate Change Adaption (CCA) related content into the school curricular in Indonesia. We do this through content analysis of the 2013 national standard curriculum, a case study of schools in Aceh province and focus group discussions (FGD) with 26 chemistry teachers from 15 secondary high schools in Banda Aceh. Our findings show that concern about DRR and CCA has not yet been demonstrated or consistently addressed in the school curriculum in Indonesia. Particularly, challenges include a lack of teacher training, limited financial support and a relatively disintegrated system. Furthermore, teaching DRR is very challenging, especially in areas where customs are traditionally conservative and the teacher's knowledge on environmental hazards is still limited.
   Challenges to integrating DRR and CCA into the curriculum can be addressed through improved teacher training, more financial support for DRR and CCA initiatives and the adoption of standardized and nationally approved disaster education guidelines. Improving disaster management knowledge and skills through integration of DRR and CCA into school curricular may save many more lives and equip younger generations with the ability to respond to natural disasters and significantly reduce losses of lives and property during a disaster.
C1 [Nurdin, Nurmalahayati] Univ Coll London, Inst Risk & Disaster Reduct IRDR, UK UIN Ar Raniry, Banda Aceh, Indonesia.
   [Rafliana, Irina] Indonesian Inst Sci LIPI, Int Ctr Interdisciplinary & Adv Res, Jakarta, Indonesia.
   [Rafliana, Irina; Djalante, Riyanti] United Nations Univ, Inst Environm & Human Secur UNU EHS, Bonn, Germany.
   [Hidayati, Sri] Minist Educ & Culture, Natl Curriculum & Book Ctr, Jakarta, Indonesia.
   [Oktari, Rina Suryani] Syiah Kuala Univ, Fac Med, Tsunami Disaster Mitigat & Res Ctr TDMRC, Banda Aceh, Indonesia.
   [Djalante, Riyanti] Local Govt Kendari City, Southeast Sulawesi, Indonesia.
C3 National Research & Innovation Agency of Indonesia (BRIN); Indonesian
   Institute of Sciences (LIPI); Universitas Syiah Kuala
RP Nurdin, N (corresponding author), Univ Coll London, Inst Risk & Disaster Reduct IRDR, UK UIN Ar Raniry, Banda Aceh, Indonesia.
EM athie_36@yahoo.com; irina_rafliana@hotmail.com; sri_hdyt@yahoo.com;
   okta@tdmrc.org; riyanti.djalante@gmail.com
RI Oktari, Rina Suryani/R-5539-2017; Djalante, Riyanti/X-3179-2019
CR Adiyoso W, 2013, J DISASTER RES, V8, P1009, DOI 10.20965/jdr.2013.p1009
   [Anonymous], 2008, Landslides-disaster risk reduction
   [Anonymous], 2012, SCH RECOVERY LESSONS
   BELL B, 2001, UNSW SCI ED, V85, P536
   BKPM, 2011, IND MIN MAR REP
   Campbell J., 2006, Lesson for Life, Building a Culture of Safety and Resilience to Disasters through Schools
   Consortium for Disaster Education(CDE), 2011, FRAM SCH BAS DIS PRE
   Djalante R., 2012, NAT HAZARDS, V62, P1
   Hidayati D, 2006, Kajian Kesiapsiagaan Masyarakat dalam Mengantisipasi Bencana Gempa Bumi dan Tsunami
   Hidayati S, 2015, BAHAN AJAR PENDIDIKA
   INEE, 2010, GUID NOT TEACH LEARN
   Kagawa F., 2014, Input paper for the Global Assessment Report on Disaster Risk Reduction
   Ministry of Education, 2013, BAS COMP SEK MEN AT
   Ministry of Education, 2013, BAS COMP SEK DAS SD
   Ministry of Education, 2003, ACT REP IND 20 YEAR
   Ministry of Education, 2013, BAS COMP SEK MEN PER
   Minsitry of Education, 2010, CIRC LETT MIN ED KEM
   Nurmalahayati, 2015, THESIS INDONESIA
   Oktari RS, 2015, INT J DISAST RISK RE, V12, P300, DOI 10.1016/j.ijdrr.2015.02.006
   Petal M., 2008, INT C SCH SAF ISL PA
   Rafliana I, 2009, BUKU PEMBELAJARAN DA
   Rafliana I, 2012, J DISASTER RES, V7, P83, DOI 10.20965/jdr.2012.p0083
   Rozamuri AM, 2015, AUST J BASIC APPL SC, V9, P104
   Santiago-Fandino V, 2016, TSUNAMIS EARTHQUAKES
   SCDRR, 2011, SUPP MAINSTR DRR ED, P2
   Schafer W. D, 1997, HDB ACAD LEARNING, P513
   Suharwoto G, 2014, PRACTICAL GUIDELINE
   TDMRC, 2010, INT DIS RISK RED SCH
   Triyono PRB, 2012, PANDUAN PENERAPAN SE
   UNICEF, 2012, DIS RISK RED SCH CUR
   UNISDR, 2008, DIS PREV SCH GUID ED
   USAID, 2014, IND DIS RESP RISK RE
NR 32
TC 3
Z9 3
U1 1
U2 9
PU SPRINGER-VERLAG TOKYO
PI TOKYO
PA 37-3, HONGO 3-CHOME BONKYO-KU, TOKYO, 113, JAPAN
SN 2196-4106
BN 978-3-319-54466-3; 978-3-319-54465-6
J9 DISAST RISK REDUCT
PY 2017
BP 213
EP 234
DI 10.1007/978-3-319-54466-3_8
D2 10.1007/978-3-319-54466-3
PG 22
WC Area Studies; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Area Studies; Environmental Sciences & Ecology
GA BJ8LZ
UT WOS:000428466900009
DA 2025-01-10
ER

PT S
AU Smith, JAM
   Mulligan, M
   Nadarajah, Y
AF Smith, Jodi-Anne Michelle
   Mulligan, Martin
   Nadarajah, Yaso
BE Ford, JD
   BerrangFord, L
TI Scenarios for Engaging a Rural Australian Community in Climate Change
   Adaptation Work
SO CLIMATE CHANGE ADAPTATION IN DEVELOPED NATIONS: FROM THEORY TO PRACTICE
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Scenario thinking; Community-engaged research; Climate change
   adaptation; Australia; Farming community; Agriculture; Rural community;
   Drought; Water availability; Local climate change policy
AB The Hamilton region in Victoria, Australia is a rural farming community consisting of several small towns and the regional center of Hamilton. The region is already experiencing climate change, with a steady decline in annual rainfall and available groundwater, and increased frequency of droughts. A prolonged drought has necessitated ongoing water restrictions and forced farmers to alter cropping and stocking practices. Rainfall patterns are predicted to shift further toward the dry, which will affect farm viability, as will increased transport costs due to rising oil prices. The challenges the community face have led to a high local interest in understanding and responding to climate change. When the authors organized a public meeting in April 2007, over 70 people attended. They wanted to take immediate action on climate change, not wait for new national policies.
   A scenario thinking workshop was held in February 2008. Forty-one representatives of different sectors within the community participated. They developed four different stories of the future and undertook an initial analysis to identify implications and adaptation strategies. This revealed that climate change could have far more complex impacts on the region than first imagined. Possible impacts included higher levels of financial pressures, stress, mental illness, and addictive behaviors, affecting community cohesion and quality of life, plus possible farm closures, high unemployment, and associated population losses, affecting the viability of small towns. Strategies identified to reduce the vulnerability of the region included altering farming practices, ensuring water security, building social cohesion, attracting new residents, and diversifying employment opportunities. The local shire council, regional health service, and others have used the workshop outcomes to rethink their strategic plans.
C1 [Smith, Jodi-Anne Michelle; Nadarajah, Yaso] RMIT Univ, Global Cities Inst, Melbourne, Vic 3001, Australia.
   [Mulligan, Martin; Nadarajah, Yaso] RMIT Univ, Globalism Res Ctr, Melbourne, Vic 3001, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); Royal Melbourne
   Institute of Technology (RMIT)
RP Smith, JAM (corresponding author), RMIT Univ, Global Cities Inst, GPO Box 2476, Melbourne, Vic 3001, Australia.
EM jodi-anne.smith@rmit.edu.au; martin.mulligan@rmit.edu.au;
   yaso.nadarajah@rmit.edu.au
OI Nadarajah, Yaso/0000-0003-2839-0621
CR [Anonymous], 1992, DEEP NEWS
   [Anonymous], 2004, What if? The Art of Scenario Thinking for Nonprofits
   [Anonymous], CLIM CHANG AUSTR TEC
   Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004
   Gunasekera D., 2007, Aust Commod, V14, P493
   Mulligan M, 2008, LOCAL ENVIRON, V13, P81, DOI 10.1080/13549830701581911
   Ringland G., 2002, Scenarios in Public Policy
   Rowe R, 2008, CLIMATE CHANGE ADAPT, V3
   Shell International, 2003, SCEN EXPL GUID
   [No title captured]
   [No title captured]
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NR 22
TC 3
Z9 3
U1 1
U2 10
PU SPRINGER
PI DORDRECHT
PA PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
SN 1574-0919
BN 978-94-007-0566-1
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2011
VL 42
BP 413
EP 422
DI 10.1007/978-94-007-0567-8_30
D2 10.1007/978-94-007-0567-8
PG 10
WC Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BWE55
UT WOS:000293761100030
DA 2025-01-10
ER

PT S
AU Illgen, M
   Ackermann, H
AF Illgen, Marc
   Ackermann, Holger
BE Koster, S
   Reese, M
   Zuo, J
TI Urban Flood Prevention
SO URBAN WATER MANAGEMENT FOR FUTURE CITIES: TECHNICAL AND INSTITUTIONAL
   ASPECTS FROM CHINESE AND GERMAN PERSPECTIVE
SE Future City
LA English
DT Article; Book Chapter
ID CLIMATE-CHANGE; DRAINAGE SYSTEMS; ADAPTATION
AB Today's cities face the challenge of climate change adaptation worldwide. In this context, prevention of damage caused by flash floods plays an important role. This requires a cooperative pluvial flood risk management approach, which includes planning, technical, and administrative measures and involves preliminary flood risk analyses. This article outlines the main components of this risk management approach, which has proven its effectiveness in Europe. The recommendations formulated for this purpose are applicable or adaptable to regions with other constraints, such as China, for example.
C1 [Illgen, Marc; Ackermann, Holger] Dahlem Consulting Engineers, Essen, Germany.
RP Illgen, M (corresponding author), Dahlem Consulting Engineers, Essen, Germany.
EM M.Illgen@dahlem-ingenieure.de
CR [Anonymous], 2012, EEA Report no. 12.
   [Anonymous], 2014, MIND RISK GLOBAL RAN
   [Anonymous], 2018, CLIMATE CHANGE CITIE, DOI [10.1007/978-3-319-65003-6, DOI 10.1007/978-3-319-65003-6]
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   C40, 2016, GOOD PRACT GUID CLIM
   Charlesworth SM, 2010, J WATER CLIM CHANGE, V1, P165, DOI 10.2166/wcc.2010.035
   City of Copenhagen, 2012, CLOUDB MAN PLAN 2012
   DWA, 2016, RIS KOMM UB ENTW STA
   Engberg L.A., 2018, CLIMATE CHANGE CITIE, VVolume 21, P1117
   Fritz M, 2017, THEOR PRACT URB SUST, P123, DOI 10.1007/978-3-319-56091-5_8
   Fritz M, 2017, THEOR PRACT URB SUST, P15, DOI 10.1007/978-3-319-56091-5_2
   Fuchs L, 2015, P 10 UDM MONT SAINT
   GDV, 2017, STAT YB GERM INS 201
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   Illgen M, 2017, ENERGIE UMWELT, P20
   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
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   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]
   Ramboll Studio Dreiseitl, 2018, COP STRAT FLOOD MAST
   Sörensen J, 2017, J HYDROL, V555, P51, DOI 10.1016/j.jhydrol.2017.09.039
   Susnika J, 2014, ASSESSMENT EFFECTIVE, V70, P1619
   Tol RSJ, 2002, ENVIRON RESOUR ECON, V21, P47, DOI 10.1023/A:1014500930521
   Yin J, 2016, SCI TOTAL ENVIRON, V544, P744, DOI 10.1016/j.scitotenv.2015.11.159
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
NR 26
TC 0
Z9 0
U1 0
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1876-0899
BN 978-3-030-01488-9; 978-3-030-01487-2
J9 FUTURE CITY
PY 2019
VL 12
BP 173
EP 193
DI 10.1007/978-3-030-01488-9_9
D2 10.1007/978-3-030-01488-9
PG 21
WC Engineering, Environmental; Engineering, Civil; Environmental Studies;
   Regional & Urban Planning; Urban Studies; Water Resources
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Engineering; Environmental Sciences & Ecology; Public Administration;
   Urban Studies; Water Resources
GA BQ8LB
UT WOS:000620508200010
DA 2025-01-10
ER

PT J
AU Alelaimat, A
   Yusoff, I
   Nizar, MK
   Ng, TF
   Majali, YA
AF Alelaimat, Ala
   Yusoff, Ismail
   Nizar, Mohd Khairul
   Ng, Tham Fatt
   Majali, Yahya A.
TI Groundwater management in the face of climate change: enhancing
   groundwater storage in the alluvium aquifer of Wadi Araba, Jordan,
   through GIS-based managed aquifer recharge and groundwater MODFLOW
SO WATER SUPPLY
LA English
DT Article
DE climate change effect; GIS; groundwater; groundwater MODFLOW; managed
   aquifer recharge; Wadi Araba
ID WATER-RESOURCES; STRATEGIES; IMPACT; VARIABILITY; CATCHMENT; MODEL;
   BASIN; MAR
AB Groundwater is critical in countries such as Jordan, yet demand exceeds availability due to population expansion and arid conditions. The goal of this research is to address water scarcity and adapt to reduced rainfall by investigating the soil aquifer and evaluating the efficiency of managed aquifer recharge (MAR). The Wadi Araba Basin's alluvium aquifer is particularly important and contains a groundwater divide, with water flowing towards the Red Sea to the south and the Dead Sea to the north, as determined by rigorous modelling and scenario analysis. Precipitation infiltration is an important consideration in groundwater budget modelling. This study employs 12 monitoring wells to establish an acceptable relationship between estimated and observed water levels. Furthermore, the study creates an MAR suitability map, which evaluates eight potential MAR locations in the Wadi Araba region. According to forecasted scenarios, implementing MAR in conjunction with increased precipitation recharge has the potential to ameliorate the consequences of decreased rainfall in the model region. The plan aims to raise the water table in three areas by 1.96-3.12%, providing realistic solutions to enhance water availability and adapt to climate change.
C1 [Alelaimat, Ala; Yusoff, Ismail; Ng, Tham Fatt] Univ Malaya, Fac Sci, Geol Dept, Kuala Lumpur, Malaysia.
   [Nizar, Mohd Khairul] Natl Hydraul Res Inst Malaysia, Hydrogeol Res Ctr, Seri Kembangan, Malaysia.
   [Majali, Yahya A.] Wadi Araba Dev Co, Amman, Jordan.
C3 Universiti Malaya
RP Yusoff, I (corresponding author), Univ Malaya, Fac Sci, Geol Dept, Kuala Lumpur, Malaysia.
EM ismaily70@um.edu.my
RI YUSOFF, ISMAIL/B-8674-2010
CR Abbasnia A., 2019, Human and Ecological Risk Assessment, V25, P988, DOI 10.1080/10807039.2018.1458596
   Abdulaziz AM, 2015, ARAB J GEOSCI, V8, P659, DOI 10.1007/s12517-013-1199-4
   Abu SadaA., 2015, JORD J EARTH ENVIRON, V7, P87
   Aizebeokhai A. P., 2011, African Journal of Environmental Science and Technology, V5, P760
   Al-Maktoumi A, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3858-y
   Alelaimat A., 2022, PONTE-RIV MENS POL L, V78, DOI [10.21506/j.ponte.2022.7.8, DOI 10.21506/J.PONTE.2022.7.8]
   Alkhatib J, 2019, HYDROGEOL J, V27, P1143, DOI 10.1007/s10040-019-01925-0
   and Irrigation, 2017, HKO 2017 GROUNDWATER
   [Anonymous], 2016, National Water Strategy 2016-2025: Groundwater Sustainability Policy
   Bani-Domi M., 2005, UMM AL QURA U J ED S, V17, P15
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Benfetta H, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-05765-1
   BGR MWI, 2019, Groundwater resource assessment of Jordan (2017)
   Change P.C., 2018, Global warming of 1.5 C
   DOM (Department of Meteorology), 2020, PUBL FIL DEP MET
   Ebrahim GY, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000588
   EcoWatch, 2016, DEAD SEA IS SHRINKIN
   El-Arabi N., 2012, International Journal of Environment and Sustainability, V1, P66, DOI DOI 10.24102/IJES.V1I3.91
   Energoprojekt, 1989, WADI ARABA DEV PROJE
   Energoprojekt, 1990, WADI ARABA DEV PROJE
   Ertürk A, 2014, SCI TOTAL ENVIRON, V499, P437, DOI 10.1016/j.scitotenv.2014.07.001
   Foster S., 2010, GW-Mate, Strateg Overv. Ser., V26
   Freiwan M, 2008, INT J CLIMATOL, V28, P69, DOI 10.1002/joc.1512
   Green TR, 1997, SUBSURFACE HYDROLOGICAL RESPONSES TO LAND COVER AND LAND USE CHANGES, P187
   Gurdak J.J., 2009, Effects of Climate Variability and Change on Groundwater Resources of the United States (No. 2327-6932)
   Guyennon N, 2017, WATER-SUI, V9, DOI 10.3390/w9090689
   Hadadin N, 2010, DESALINATION, V250, P197, DOI 10.1016/j.desal.2009.01.026
   Hamdi Moshrik R., 2009, American Journal of Environmental Sciences, V5, P58, DOI 10.3844/ajes.2009.58.68
   Casas JDH, 2022, WATER-SUI, V14, DOI 10.3390/w14223703
   Holländer HM, 2009, PHYS CHEM EARTH, V34, P270, DOI 10.1016/j.pce.2008.05.001
   Holman IP, 2006, HYDROGEOL J, V14, P637, DOI 10.1007/s10040-005-0467-0
   Hossain MI, 2021, APPL WATER SCI, V11, DOI 10.1007/s13201-021-01530-1
   ISRAMAR, 2022, LONG TERM CHANG DEAD
   JAEC WorleyParsons, 2011, WHITE PAPER NUCL ENE
   Khan MR, 2014, WATER RESOUR MANAG, V28, P1235, DOI 10.1007/s11269-014-0537-y
   Kirby JM, 2016, CLIMATIC CHANGE, V135, P481, DOI 10.1007/s10584-016-1597-1
   Kourakos G, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR034129
   Kumar CP., 2016, IWRA IND J, V5, P3
   Liu Sida, 2022, Journal of Hydrology, DOI 10.1016/j.jhydrol.2022.128392
   Lyra A, 2021, WATER-SUI, V13, DOI 10.3390/w13030268
   M. of Water and Irrigation, 2019, WIS MWI WATER INFORM
   Magesh NS, 2013, ARAB J GEOSCI, V6, P1883, DOI 10.1007/s12517-011-0496-z
   Margane A., 2002, CONTRIBUTIONS HYDROG
   Matouq M, 2013, J TAIBAH UNIV SCI, V7, P44, DOI 10.1016/j.jtusci.2013.04.001
   MEMER, 2017, ANN REPORT 2016
   Nassery H, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-016-2526-3
   Nkhonjera GK, 2017, GLOBAL PLANET CHANGE, V158, P72, DOI 10.1016/j.gloplacha.2017.09.011
   Ntona MM, 2022, SCI TOTAL ENVIRON, V846, DOI 10.1016/j.scitotenv.2022.157355
   Nyenje PM, 2009, HYDROLOG SCI J, V54, P713, DOI 10.1623/hysj.54.4.713
   Ouhamdouch S, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-5065-x
   Panigrahy B. P., 2015, INT RES J ENV SCI, V4, P86
   Pavlis TL, 2010, GEOSPHERE, V6, P275, DOI 10.1130/GES00503.1
   Pulido-Velazquez D, 2015, HYDROL PROCESS, V29, P828, DOI 10.1002/hyp.10191
   Radulovic MM, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-06148-2
   Ricart S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052473
   Ross A, 2018, SUST WAT RESOUR MAN, V4, P179, DOI 10.1007/s40899-017-0210-8
   Roy DK, 2020, GROUNDWATER SUST DEV, V11, DOI 10.1016/j.gsd.2020.100479
   Russo TA, 2015, GROUNDWATER, V53, P389, DOI 10.1111/gwat.12213
   Salameh E., 2021, J. Geosci. Environ. Prot, V9, P100, DOI [10.4236/gep.2021.912007, DOI 10.4236/GEP.2021.912007]
   Salameh E, 2018, WOR WATER RESOUR, V1, P1, DOI 10.1007/978-3-319-77748-1_1
   Schaible Glenn., 2012, USDA-ERS Economic Information Bulletin, V99
   Shakhatreh Y., 2011, FOOD SECURITY CLIMAT, V111
   Sherif M, 2023, WATER-SUI, V15, DOI 10.3390/w15040742
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P33
   Ta'any R., 2014, International Journal of Current Microbiology and Applied Sciences, V3, P108
   TAHBOUB A, 2015, BIOSCI BIOTECHNOL RE, V12, P2201
   Tortajada C, 2019, SUSTAIN CITIES SOC, V45, P649, DOI 10.1016/j.scs.2018.11.044
   Toure A, 2016, HYDROLOGY-BASEL, V3, DOI 10.3390/hydrology3020017
   Wang XJ, 2016, MITIG ADAPT STRAT GL, V21, P81, DOI 10.1007/s11027-014-9571-6
   Whitman E, 2019, NATURE, V573, P20, DOI 10.1038/d41586-019-02600-w
   Woldeamlak ST, 2007, HYDROGEOL J, V15, P891, DOI 10.1007/s10040-006-0145-x
   Xanke J, 2016, J HYDROL, V540, P603, DOI 10.1016/j.jhydrol.2016.06.058
   Yuan M., 1996, P 3 INT C WORKSH INT, V33
   Zhang H, 2019, WATER-SUI, V11, DOI 10.3390/w11081646
NR 74
TC 2
Z9 2
U1 2
U2 10
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1606-9749
EI 1607-0798
J9 WATER SUPPLY
JI Water Supply
PD DEC
PY 2023
VL 23
IS 12
BP 5136
EP 5153
DI 10.2166/ws.2023.316
EA DEC 2023
PG 18
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA DR7W9
UT WOS:001114545700001
OA gold
DA 2025-01-10
ER

PT J
AU Najafipour, B
   Mirlohi, A
   Majidi, MM
   Saeidi, G
   Abtahi, M
AF Najafipour, Baran
   Mirlohi, Aghafakhr
   Majidi, Mohammad Mahdi
   Saeidi, Ghodratollah
   Abtahi, Mozhgan
TI Wild barley genomic resources for drought adaptability and quality
   improvement
SO JOURNAL OF CEREAL SCIENCE
LA English
DT Article
DE Barley; Drought tolerance; Nested backcross population; Grain yield
ID SOLVENT RETENTION CAPACITY; GLUCAN CONTENT; WATER-STRESS; BETA-GLUCAN;
   BREAD; GERMPLASM; SELECTION; DOUGH; SOFT; SRC
AB Wild species of crop plants may contain genes for adaptation to environmental stresses. Wild barley, with higher yield stability and better adaptation to climate change, is a valuable novel gene source for improving drought tolerance, grain quality, and commercial applications. In this research, nested backcross populations (NBP) were developed by crossing 21 wild barley accessions to the Ryhan03 cultivar, and the F1 progenies were backcrossed to Ryhan03 once. Screening of the 443 NBP developed lines was performed based on stress tolerance score (STS) and grain yield during two BC1F3 and BC1F4 generations, then 95 drought-tolerant and susceptible lines were selected for further evaluation in the BC1F5 generation under two water conditions. Efficient NBP strategy might be valuable for developing improved barley cultivars for nutritional quality and drought tolerance. Reasonable diversity among the BC1F5 families demonstrated that strict selection for beta-glucan content, drought tolerance, and yield is feasible and successful. The considerable variation observed for quality-related traits was significant for achieving the desired advanced barley lines to meet various consumption preferences. Wild donors contributed several favorable alleles to quality traits and drought tolerance. Progeny lines T42, T5, T60, and T35 were introduced as high-yielding, drought-tolerant lines with high beta-glucan content.
C1 [Najafipour, Baran; Mirlohi, Aghafakhr; Majidi, Mohammad Mahdi; Saeidi, Ghodratollah; Abtahi, Mozhgan] Isfahan Univ Technol, Coll Agr, Dept Agron & Plant Breeding, Esfahan 8415683111, Iran.
C3 Isfahan University of Technology
RP Mirlohi, A (corresponding author), Isfahan Univ Technol, Coll Agr, Dept Agron & Plant Breeding, Esfahan 8415683111, Iran.
EM najafipur@gmail.com; mirlohi@iut.ac.ir; majidi@iut.ac.ir;
   gsaeidi@iut.ac.ir; mozhganabtahi@yahoo.com
RI Abtahi, Mozhgan/ABG-1393-2021; Majidi, Mohammad Mahdi/JVO-8131-2024
OI Majidi, Mohammad Mahdi/0000-0003-4746-9036; Mirlohi,
   Aghafakhr/0000-0002-3445-5770
CR Abdolshahi R, 2013, ARCH AGRON SOIL SCI, V59, P685, DOI 10.1080/03650340.2012.667080
   Aghagholizadeh R, 2019, J FOOD SCI TECH MYS, V56, P775, DOI 10.1007/s13197-018-3537-8
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2000, APPR METH AM ASS CER, V10th
   Capasso G, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11111102
   Duyvejonck AE, 2011, J CEREAL SCI, V53, P312, DOI 10.1016/j.jcs.2011.01.014
   Dwivedi SL, 2016, TRENDS PLANT SCI, V21, P31, DOI 10.1016/j.tplants.2015.10.012
   Garcia-Gimenez G, 2020, PLANT J, V104, P1009, DOI 10.1111/tpj.14977
   Geng L, 2022, FOOD CHEM-MOL SCI, V5, DOI 10.1016/j.fochms.2022.100136
   Guzmán C, 2015, J CEREAL SCI, V66, P59, DOI 10.1016/j.jcs.2015.10.009
   Hao ZF, 2011, BREEDING SCI, V61, P101, DOI 10.1270/jsbbs.61.101
   Hospital F, 2005, PHILOS T R SOC B, V360, P1503, DOI 10.1098/rstb.2005.1670
   Huang K, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2205783119
   Katyal M, 2017, FOOD RES INT, V100, P306, DOI 10.1016/j.foodres.2017.08.050
   Kaur A, 2014, FOOD CHEM, V158, P48, DOI 10.1016/j.foodchem.2014.02.096
   Kweon M, 2011, CEREAL CHEM, V88, P537, DOI 10.1094/CCHEM-07-11-0092
   Kweon M, 2009, CEREAL CHEM, V86, P421, DOI 10.1094/CCHEM-86-4-0421
   Lakew B, 2011, FIELD CROP RES, V120, P161, DOI 10.1016/j.fcr.2010.09.011
   Mahalingam R, 2019, PHYSIOL PLANTARUM, V165, P277, DOI 10.1111/ppl.12841
   Molina-Cano JL, 2002, J CEREAL SCI, V36, P39, DOI 10.1006/jcrs.2002.0440
   Nishantha MDLC, 2018, INT J FOOD PROP, V21, P2218, DOI 10.1080/10942912.2018.1500486
   Niu QW, 2017, INT J MOL SCI, V18, DOI 10.3390/ijms18030590
   Ogushi K, 2002, J I BREWING, V108, P303, DOI 10.1002/j.2050-0416.2002.tb00555.x
   Rakszegi M, 2014, CARBOHYD POLYM, V102, P557, DOI 10.1016/j.carbpol.2013.12.005
   Rieseberg LH, 1999, HEREDITY, V83, P363, DOI 10.1038/sj.hdy.6886170
   Sallam A., 2014, Journal of Plant Breeding and Crop Science, V6, P11
   Sharma S, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10100982
   Wu XJ, 2015, J CEREAL SCI, V65, P209, DOI 10.1016/j.jcs.2015.07.012
   Wu XJ, 2017, PLANT GROWTH REGUL, V81, P243, DOI 10.1007/s10725-016-0201-z
   Zhang KL, 2019, FOOD HYDROCOLLOID, V93, P19, DOI 10.1016/j.foodhyd.2019.02.001
NR 30
TC 1
Z9 1
U1 2
U2 5
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0733-5210
EI 1095-9963
J9 J CEREAL SCI
JI J. Cereal Sci.
PD NOV
PY 2023
VL 114
AR 103802
DI 10.1016/j.jcs.2023.103802
EA NOV 2023
PG 9
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA Z4DW4
UT WOS:001111608100001
DA 2025-01-10
ER

PT J
AU Wang, XJ
   Scott, CE
   Dallimer, M
AF Wang, Xinjun
   Scott, Catherine E.
   Dallimer, Martin
TI High summer land surface temperatures in a temperate city are mitigated
   by tree canopy cover
SO URBAN CLIMATE
LA English
DT Article
DE Surface urban heat island; Cooling effect; Greenspace; Canopy coverage;
   Land surface temperature
ID URBAN HEAT-ISLAND; GREEN SPACES; CLIMATE-CHANGE; VEGETATION; IMPACT;
   AREAS; ENVIRONMENT; RETRIEVAL; FEEDBACKS; PRIVATE
AB As climate warms, the impact of existing urban heat islands on the health of residents in towns and cities will worsen. A reduction in impervious in cities may help to reduce temperatures, but the relationship between tree canopy coverage and land surface temperature (LST) is not well characterised. Here, we quantified the summer LST of the temperate city of Leeds, UK using Landsat 8 TIRS remote sensing image and explored the spatial relationships between LST and impervious land cover, greenspace coverage, type of greenspace and canopy cover. We found a strong relationship between LST and canopy coverage across the built-up region of Leeds and use this relationship to project the impact of future canopy cover expansion. We found that of the nine main types of greenspaces in Leeds, private gardens occupied the greatest fraction of the total greenspace area and offered most potential for canopy cover expansion. Results suggest that a doubling of canopy coverage across the city, could reduce the mean LST by around 2.5 degrees C during the warmest summer months. Such a temperature reduction adds further weight to efforts by cities and countries globally to increase tree cover to both mitigate for and adapt to climate change.
C1 [Wang, Xinjun] Changzhou Inst Technol, Sch Art & Design, Dept Environm Design, Changzhou, Peoples R China.
   [Wang, Xinjun] Minist Ecol & Environm, Nanjing Inst Environm Sci, Nanjing, Peoples R China.
   [Scott, Catherine E.] Univ Leeds, Inst Climate & Atmospher Sci, Sch Earth & Environm, Leeds, England.
   [Dallimer, Martin] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, England.
   [Wang, Xinjun] Changzhou Inst Technol, Sch Art & Design, Dept Environm Design, Changzhou 213022, Peoples R China.
C3 Changzhou Institute of Technology; University of Leeds; University of
   Leeds; Changzhou Institute of Technology
RP Wang, XJ (corresponding author), Changzhou Inst Technol, Sch Art & Design, Dept Environm Design, Changzhou 213022, Peoples R China.
EM wxinjun@cit.edu.cn
RI Scott, Catherine/K-8758-2013
OI Scott, Catherine/0000-0002-0187-969X
FU Chunhui Project Foundation of the International Education Department of
   China; Natural Environment Research Council [NE/S015396/1]
FX The research was supported by Chunhui Project Foundation of the
   International Education Department of China and Natural Environment
   Research Council (grant NE/S015396/1) .
CR Ahmed S, 2018, EGYPT J REMOTE SENS, V21, P15, DOI 10.1016/j.ejrs.2017.08.001
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Anguluri R, 2017, URBAN FOR URBAN GREE, V25, P58, DOI 10.1016/j.ufug.2017.04.007
   [Anonymous], 2013, 2 INT C INF MAN SCI
   Benas N, 2017, THEOR APPL CLIMATOL, V130, P807, DOI 10.1007/s00704-016-1905-8
   Beringer J, 2005, AGR FOREST METEOROL, V131, P143, DOI 10.1016/j.agrformet.2005.05.006
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Conway T.M., 2016, CITIES ENV CATE, V9, P3
   Coolen H, 2012, J HOUS BUILT ENVIRON, V27, P49, DOI 10.1007/s10901-011-9246-5
   Dallimer M, 2011, BIOL LETTERS, V7, P763, DOI 10.1098/rsbl.2011.0025
   Deryng D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034011
   DIGIMAP, 2021, Ordnance Survey MasterMap Greenspace
   Dimoudi A, 2003, ENERG BUILDINGS, V35, P69, DOI 10.1016/S0378-7788(02)00081-6
   Dixon T, 2009, LAND USE POLICY, V26, pS43, DOI 10.1016/j.landusepol.2009.08.017
   Doick K.J., 2019, The Canopy Cover of England's Towns and Cities: baselining and setting targets to improvehuman health and well-being
   Du HY, 2017, URBAN FOR URBAN GREE, V27, P24, DOI 10.1016/j.ufug.2017.06.008
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Geletic J, 2019, BUILD ENVIRON, V156, P21, DOI 10.1016/j.buildenv.2019.04.011
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Goddard MA, 2013, ECOL ECON, V86, P258, DOI 10.1016/j.ecolecon.2012.07.016
   Godinho S, 2016, APPL GEOGR, V74, P84, DOI 10.1016/j.apgeog.2016.07.004
   Gómez-Navarro C, 2021, AGR FOREST METEOROL, V296, DOI 10.1016/j.agrformet.2020.108211
   Graham DA, 2016, URBAN FOR URBAN GREE, V20, P180, DOI 10.1016/j.ufug.2016.08.005
   Greenspace Scoland, 2018, The Third State of Scotland's Greenspace Report
   Hall JM, 2012, LANDSCAPE URBAN PLAN, V104, P410, DOI 10.1016/j.landurbplan.2011.11.015
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Holland L., 2004, Local Environment, V9, P285, DOI 10.1080/1354983042000219388
   Hua L., 2008, Proc.SPIE
   Ibsen PC, 2022, SCI TOTAL ENVIRON, V829, DOI 10.1016/j.scitotenv.2022.154589
   Ibsen PC, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdf8a
   Kim H, 2018, SUSTAIN CITIES SOC, V41, P841, DOI 10.1016/j.scs.2018.06.021
   Kumar R, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14213-2
   Landry S, 2010, LANDSCAPE URBAN PLAN, V94, P94, DOI 10.1016/j.landurbplan.2009.08.003
   Leeds City Council, 2020, White Rose Strategy for Leeds
   Leeds Observatory, 2020, Population of Leeds
   Lin B, 2015, URBAN FOR URBAN GREE, V14, P952, DOI 10.1016/j.ufug.2015.09.003
   Liu X, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7ee7
   MacDonald DH, 2010, LANDSCAPE URBAN PLAN, V95, P192, DOI 10.1016/j.landurbplan.2010.01.003
   Mahmoud SH, 2018, BUILD ENVIRON, V142, P83, DOI 10.1016/j.buildenv.2018.06.007
   Majkowska A, 2017, THEOR APPL CLIMATOL, V128, P769, DOI 10.1007/s00704-016-1737-6
   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
   Matthews TKR, 2017, P NATL ACAD SCI USA, V114, P3861, DOI 10.1073/pnas.1617526114
   Mimet A, 2020, LANDSCAPE URBAN PLAN, V193, DOI 10.1016/j.landurbplan.2019.103671
   Morabito M, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.142334
   Morini E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8100999
   Moss JL, 2019, URBAN FOR URBAN GREE, V37, P65, DOI 10.1016/j.ufug.2018.07.023
   National Centre for Atmospheric Science, 2021, MONTHLY CLIMATOLOGICAL SUMMARY
   National Tree Map, 2021, National tree map introduction
   Office for National Statistics, 2016, 2011 Rural/Urban Classification
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Petri AC, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104117
   Qin ZH., 2004, Remote Sensing for Land Resources, V16, P28
   Qiu KB, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101864
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   Ren Y, 2016, ENVIRON POLLUT, V216, P519, DOI 10.1016/j.envpol.2016.06.004
   Renmingwang, 2021, as soon as possible
   Richardson AD, 2013, AGR FOREST METEOROL, V169, P156, DOI 10.1016/j.agrformet.2012.09.012
   Robinson C., 2009, Multiple Linear Regression Viewpoints, V35, P6, DOI DOI 10.1177/0162243913504305
   Schwarz N, 2012, ECOL INDIC, V18, P693, DOI 10.1016/j.ecolind.2012.01.001
   Sekliziotis S., 1980, PHD thesis
   Shackleton S, 2015, LANDSCAPE URBAN PLAN, V136, P76, DOI 10.1016/j.landurbplan.2014.12.004
   Shashua-Bar L, 2000, ENERG BUILDINGS, V31, P221, DOI 10.1016/S0378-7788(99)00018-3
   Shi YR, 2018, URBAN CLIM, V24, P299, DOI 10.1016/j.uclim.2017.01.001
   Speak A, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103748
   Sun QH, 2019, ENVIRON INT, V128, P125, DOI 10.1016/j.envint.2019.04.025
   Wetherley EB, 2018, REMOTE SENS ENVIRON, V213, P18, DOI 10.1016/j.rse.2018.04.051
   Wu Chunxia, 2008, Urban Forestry & Urban Greening, V7, P65, DOI 10.1016/j.ufug.2008.01.002
   [薛晓娟 Xue Xiaojuan], 2012, [地球信息科学学报, Journal of Geo-Information Science], V14, P474
   Yan H, 2015, J ENVIRON HEALTH SCI, V13, DOI 10.1186/s40201-015-0195-x
   Yang GY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101932
   Yang QQ, 2019, SCI TOTAL ENVIRON, V655, P652, DOI 10.1016/j.scitotenv.2018.11.171
   Yokohari M, 2000, LANDSCAPE URBAN PLAN, V47, P159, DOI 10.1016/S0169-2046(99)00084-5
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Yu ZW, 2017, ECOL INDIC, V82, P152, DOI 10.1016/j.ecolind.2017.07.002
   Zhang Z, 2013, URBAN FOR URBAN GREE, V12, P323, DOI 10.1016/j.ufug.2013.03.010
   Zhao JC, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103927
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 79
TC 3
Z9 3
U1 12
U2 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2023
VL 51
AR 101606
DI 10.1016/j.uclim.2023.101606
EA SEP 2023
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA T9WF3
UT WOS:001081408200001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Kumar, P
   Leonardi, N
AF Kumar, Pavitra
   Leonardi, Nicoletta
TI Coastal forecast through coupling of Artificial Intelligence and
   hydro-morphodynamical modelling
SO COASTAL ENGINEERING JOURNAL
LA English
DT Article
DE Morphological changes; Sediment transport; Neural networks; Bayesian
   networks; Delft3d; >
ID NEURAL-NETWORK MODEL; BAYESIAN NETWORKS; SEDIMENT TRANSPORT; PREDICTION;
   ISLAND; ACCURACY; CURRENTS; SYSTEMS
AB As climate-driven risks for the world's coastlines increase, understanding and predicting morphological changes as well as developing efficient systems for coastal forecast has become of the foremost importance for adaptation to climate change. Artificial Intelligence is a powerful technology that has been rapidly evolving recently and can offer new means of analysis for the coastal science field. Yet, the potential of these technologies for coastal geomorphology remains relatively unexplored with respect to other scientific fields. This article investigates the use of Artificial Neural Networks and Bayesian Networks in combination with fully coupled hydrodynamics and morphological models (Delft3D) for predicting morphological changes and sediment transport along coastal systems. Two sets of Artificial Intelligence models were tested, one set relying on localized modeling outputs or localized data sources and another set having reduced dependency from modeling outputs and, once trained, solely relying on boundary conditions and coastline geometry. The first set of models provides regression values greater than 0.95 and 0.86 for training and testing, respectively. The second set of reduced dependency models provides regression values greater than 0.84 and 0.76 for training and testing, respectively. Our results highlight the potential of AI and statistical models for coastal applications.
C1 [Kumar, Pavitra; Leonardi, Nicoletta] Univ Liverpool, Sch Environm Sci, Dept Geog & Planning, Liverpool, England.
C3 University of Liverpool
RP Kumar, P (corresponding author), Univ Liverpool, Sch Environm Sci, Dept Geog & Planning, Liverpool, England.
EM pavitra.kumar@liverpool.ac.uk
RI Kumar, Pavitra/AAW-5825-2021
FU  [EP/V056042/1]; EPSRC [EP/V056042/1] Funding Source: UKRI
FX AcknowledgmentsWe acknowledge the following funding source for this
   study: Engineering with Nature: combining Artificial intelligence,
   Remote sensing and computer Models for the optimum design of coastal
   protection schemes EP/V056042/1. Data Access Statement: Bathymetry data
   have been retrieved from EDINA Marine Digimap
   (https://digimap.edina.ac.uk/roam/download/marine) and UK Environment
   Agency's LiDAR data archive
   (https://environment.data.gov.uk/DefraDataDownload/?Mode=survey) which
   are gratefully acknowledged. The plot data has been uploaded to a
   publicly accessible repository at
   https://github.com/pavitra979/CoastalForecastData. The Data drive models
   have been developed using the following which are also acknowledged:
   MATLAB libraries from the Deep Learning toolbox (e.g. feedforwardnet(),
   elmannet(), mapminmax() and train()) and Netica software (free-version)
   developed by Norsys software corp.
CR Abu Arqub O, 2014, INFORM SCIENCES, V279, P396, DOI 10.1016/j.ins.2014.03.128
   Akrami S, 2013, WATER RESOUR MANAG, V27, P3507, DOI 10.1007/s11269-013-0361-9
   Alemohammad Sina, 2020, arXiv
   Altunkaynak A, 2018, URBAN WATER J, V15, P177, DOI 10.1080/1573062X.2018.1424219
   Alvi RH, 2021, J INFORM TELECOMMUN, V5, P226, DOI 10.1080/24751839.2020.1843121
   Beuzen T, 2018, COAST ENG, V135, P16, DOI 10.1016/j.coastaleng.2018.01.005
   Booij N, 1999, J GEOPHYS RES-OCEANS, V104, P7649, DOI 10.1029/98JC02622
   Brakenhoff L, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8110892
   Buchholz K., 2020, RISING SEA LEVELS WI
   Bulteau T, 2015, GEOMORPHOLOGY, V228, P134, DOI 10.1016/j.geomorph.2014.09.002
   Cabaneros SMS, 2017, ENRGY PROCED, V142, P3524, DOI 10.1016/j.egypro.2017.12.240
   Carnacina I., 2015, 36 IAHR WORLD C
   Chen CS, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10070896
   Chen SH, 2012, ENVIRON MODELL SOFTW, V37, P134, DOI 10.1016/j.envsoft.2012.03.012
   Chen YY, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10175776
   Chopra Chahes., 2017, P 2017 INT C COMPUTA, P18, DOI 10.1145/3155077.3155081
   Ciavola P, 2011, ENVIRON SCI POLICY, V14, P912, DOI 10.1016/j.envsci.2011.05.011
   Dawson R.J., 2016, UK Climate Change Risk Assessment Evidence Report: Chapter 4 Infrastructure
   de Gennaro G, 2013, SCI TOTAL ENVIRON, V463, P875, DOI 10.1016/j.scitotenv.2013.06.093
   Deutz A., 2018, UN DEV PROGRAMME NAT
   Donatelli C, 2018, J GEOPHYS RES-EARTH, V123, P2647, DOI 10.1029/2018JF004617
   El-Shafie A, 2012, HYDROL EARTH SYST SC, V16, P1151, DOI 10.5194/hess-16-1151-2012
   El-Shafie A, 2011, HYDROL EARTH SYST SC, V15, P841, DOI 10.5194/hess-15-841-2011
   GALAPPATTI G, 1985, J HYDRAUL RES, V23, P359, DOI 10.1080/00221688509499345
   Gazzaz NM, 2012, MAR POLLUT BULL, V64, P2409, DOI 10.1016/j.marpolbul.2012.08.005
   Gutierrez BT, 2015, J GEOPHYS RES-EARTH, V120, P2452, DOI 10.1002/2015JF003671
   Gutierrez BT, 2011, J GEOPHYS RES-EARTH, V116, DOI [10.1029/2010JF001891, 10.1029/20101F001891]
   Huang FM, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-6133-0
   Huang-Lachmann JT, 2016, CITIES, V54, P36, DOI 10.1016/j.cities.2015.11.001
   Kabiri-Samani AR, 2011, APPL SOFT COMPUT, V11, P2880, DOI 10.1016/j.asoc.2010.11.021
   KAMPHUIS JW, 1986, COAST ENG, V10, P1, DOI 10.1016/0378-3839(86)90036-0
   Karri RR, 2013, OCEAN DYNAM, V63, P43, DOI 10.1007/s10236-012-0584-y
   Kennedy JJ, 2014, REV GEOPHYS, V52, P1, DOI 10.1002/2013RG000434
   Kumar P, 2021, ENG APPL COMP FLUID, V15, P1843, DOI 10.1080/19942060.2021.1990134
   Kumar P, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0239509
   Kurniawan A, 2011, OCEAN DYNAM, V61, P1121, DOI 10.1007/s10236-011-0415-6
   Leonardi N., 2022, 39 IAHR WORLD C SNOW
   Li CM, 2019, WATER-SUI, V11, DOI 10.3390/w11061113
   Li PF, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70438-8
   Liu S., 2012, COMP COMP TECHN AGR
   López I, 2018, MAR GEORESOUR GEOTEC, V36, P698, DOI 10.1080/1064119X.2017.1385666
   Loureiro C, 2013, MAR GEOL, V346, P153, DOI 10.1016/j.margeo.2013.09.005
   Lyddon C, 2019, GEOPHYS RES LETT, V46, P14576, DOI 10.1029/2019GL086123
   Mafi S, 2013, J COASTAL RES, P2149, DOI 10.2112/SI65-363.1
   Mahdaviani K, 2008, IEEE IJCNN, P3723, DOI 10.1109/IJCNN.2008.4634332
   Mason DC, 2010, ESTUAR COAST SHELF S, V87, P487, DOI 10.1016/j.ecss.2010.01.015
   Muñoz DF, 2022, J AM WATER RESOUR AS, V58, P34, DOI 10.1111/1752-1688.12952
   MURPHY AH, 1989, MON WEATHER REV, V117, P572, DOI 10.1175/1520-0493(1989)117<0572:SSACCI>2.0.CO;2
   Najah A, 2011, HYDROL EARTH SYST SC, V15, P2693, DOI 10.5194/hess-15-2693-2011
   Nardin W, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051788
   Nunez C., 2022, SEA LEVEL RISE EXPLA
   Ogasawara E, 2010, IEEE IJCNN, DOI 10.1109/IJCNN.2010.5596746
   OpenDa, OPENDA INTEGRATING M
   Palmsten ML., 2014, SHORE BEACH, V82, P35
   Pannozzo N, 2021, GEOMORPHOLOGY, V389, DOI 10.1016/j.geomorph.2021.107825
   Plant NG, 2016, EARTHS FUTURE, V4, P143, DOI 10.1002/2015EF000331
   Plant NG, 2012, J GEOPHYS RES-EARTH, V117, DOI 10.1029/2011JF002326
   Poelhekke L, 2016, COAST ENG, V118, P21, DOI 10.1016/j.coastaleng.2016.08.011
   Rabinovich S.G., 2005, MEASUREMENT ERRORS U, P115
   Rabinovich S.G., 2005, MEASUREMENT ERRORS U, P1
   RALSTON ML, 1978, TECHNOMETRICS, V20, P7, DOI 10.2307/1268154
   Ray R.D., 1999, GLOBAL OCEAN TIDE MO
   Shchepetkin AF, 2005, OCEAN MODEL, V9, P347, DOI 10.1016/j.ocemod.2004.08.002
   Sheela KG, 2013, MATH PROBL ENG, V2013, DOI 10.1155/2013/425740
   Stammer D, 2014, REV GEOPHYS, V52, P243, DOI 10.1002/2014RG000450
   Tampelini L.G., 2011, J BRAZILIAN NEURAL N, V9, P148, DOI [https://doi.org/10.21528/LNLM-vol9-no3-art1, DOI 10.21528/LNLM-VOL9-NO3-ART1]
   Tsekouras G. E., 2015, ENG APPL NEUR NETW
   UNCC, 2020, Policy brief: Technologies for averting, minimizing and addressing loss and damage in coastal zones
   USGS, 2015, COAST CHANG HAZ PORT
   Uzair M., 2020, 2020 IEEE 23 INT MUL, P1, DOI [10.1109/INMIC50486.2020.9318195, DOI 10.1109/INMIC50486.2020.9318195]
   Van Rijn L.C., 1993, Principles of Sediment Transport in Rivers, Estuaries and Coastal Seas, V1006
   van Rijn LC, 2007, J HYDRAUL ENG, V133, P668, DOI 10.1061/(ASCE)0733-9429(2007)133:6(668)
   Wang BY, 2016, PROCEDIA ENGINEER, V154, P1176, DOI 10.1016/j.proeng.2016.07.527
   Wilson KE, 2015, COAST ENG, V102, P30, DOI 10.1016/j.coastaleng.2015.04.006
   Yang S, 2004, EXPERT SYST, V21, P279, DOI 10.1111/j.1468-0394.2004.00285.x
   Yates ML, 2012, NAT HAZARD EARTH SYS, V12, P1173, DOI 10.5194/nhess-12-1173-2012
   Ying X, 2018, CHINA PERSPECT-SER, P1, DOI 10.1088/1742-6596/1168/2/022022
   Zeigler SL, 2017, WILDLIFE SOC B, V41, P666, DOI 10.1002/wsb.820
NR 78
TC 1
Z9 1
U1 1
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2166-4250
EI 1793-6292
J9 COAST ENG J
JI Coast Eng. J.
PD JUL 3
PY 2023
VL 65
IS 3
BP 450
EP 469
DI 10.1080/21664250.2023.2233724
EA JUL 2023
PG 20
WC Engineering, Civil; Engineering, Ocean
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA P0ZI9
UT WOS:001024922500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Rakhmankulova, ZF
AF Rakhmankulova, Z. F.
TI Plant Respiration and Global Climatic Changes
SO RUSSIAN JOURNAL OF PLANT PHYSIOLOGY
LA English
DT Article
DE acclimation; alternative respiration pathways; G6P shunt of oxidative
   pentose phosphate pathway; elevated concentration of CO2; drought;
   temperature stress; photorespiration; energy and metabolic balance
ID ATMOSPHERIC CO2 CONCENTRATION; ELEVATED CO2; LEAF RESPIRATION;
   MITOCHONDRIAL RESPIRATION; DROUGHT STRESS;
   GLUCOSE-6-PHOSPHATE-DEHYDROGENASE PLAYS; ALTERNATIVE OXIDASE;
   XANTHIUM-STRUMARIUM; METABOLIC PATHWAYS; DARK RESPIRATION
AB The review summarizes current notions about biochemical, physiological, and molecular mechanisms underlying the response of respiratory pathways to the elevation of atmospheric CO2 concentration (eCO(2)) and associated factors (high temperature and drought). Direct and indirect, as well as brief and long-term, effects of climatic changes on individual stages of respiration and its functional components were analyzed. It was ascertained that energy-efficient (EE) pathways of respiration (glycolysis, the Krebs cycle, and cytochrome ETC pathway) are highly variable depending on the intensity, duration, and nature of the climatic agents and on the species and age of plants. An important role in adaptation to climatic changes and the maintenance of energy balance is performed by energy inefficient (EI) components of respiration. They comprise glucose-6-phosphate shunt of oxidative pentose phosphate pathway, alternative oxidase (AOX), type II NADPH dehydrogenases, and photorespiration. It is assumed that their stimulation upon climatic changes (except for photorespiration at eCO(2)) is related to a rise in expenditures on the maintenance of antioxidant mechanisms and depends on dissipation of excess metabolites and energy necessary for protection and normal operation of the photosynthetic apparatus.
C1 [Rakhmankulova, Z. F.] Russian Acad Sci, Timiryazev Inst Plant Physiol, Moscow, Russia.
C3 Timiryazev Institute of Plant Physiology; Russian Academy of Sciences
RP Rakhmankulova, ZF (corresponding author), Russian Acad Sci, Timiryazev Inst Plant Physiol, Moscow, Russia.
EM Zulfirar@mail.ru
RI , Z.Rakhmankulova/AAN-1058-2021
FU Ministry of Science and Higher Education of the Russian Federation
   [122042700044-6]
FX This work was performed within the framework of a state assignment given
   by the Ministry of Science and Higher Education of the Russian
   Federation (theme no. 122042700044-6).
CR Abadie C, 2017, ADV PHOTOSYNTH RESP, V43, P1, DOI 10.1007/978-3-319-68703-2_1
   Abadie C, 2016, NAT PLANTS, V2, DOI [10.1038/nplants.2015.220, 10.1038/NPLANTS.2015.220]
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   Araújo WL, 2012, PLANT CELL ENVIRON, V35, P1, DOI 10.1111/j.1365-3040.2011.02332.x
   Arcus VL, 2016, BIOCHEMISTRY-US, V55, P1681, DOI 10.1021/acs.biochem.5b01094
   Armstrong AF, 2006, PLANT CELL ENVIRON, V29, P940, DOI 10.1111/j.1365-3040.2005.01475.x
   Atkin O.K., 2000, Advances in Photosynthesis and Respiration, Vfirst, DOI [10.1007/0-306-48137-5_7, DOI 10.1007/0-306-48137-5_7]
   Atkin OK, 2006, J EXP BOT, V57, P267, DOI 10.1093/jxb/erj029
   Atkin OK, 2005, FUNCT PLANT BIOL, V32, P87, DOI 10.1071/FP03176
   Atkin OK, 2003, TRENDS PLANT SCI, V8, P343, DOI 10.1016/S1360-1385(03)00136-5
   Atkin OK, 2017, ADV PHOTOSYNTH RESP, V43, P107, DOI 10.1007/978-3-319-68703-2_6
   Atkin OK, 2015, NEW PHYTOL, V206, P614, DOI 10.1111/nph.13253
   Atkin OK, 2009, ANN BOT-LONDON, V103, P581, DOI 10.1093/aob/mcn094
   Ayub G, 2014, PLANT SCI, V226, P120, DOI 10.1016/j.plantsci.2014.05.001
   BINGHAM IJ, 1988, PHYSIOL PLANTARUM, V73, P278, DOI 10.1111/j.1399-3054.1988.tb00598.x
   Bouma T., 2005, PLANT RESP CELL ECOS, DOI [10.1007/1-4020-3589-6_10, DOI 10.1007/1-4020-3589-6_10]
   Chadee A, 2020, PLANT SIGNAL BEHAV, V15, DOI 10.1080/15592324.2020.1795395
   Dahal K, 2018, PLANT PHYSIOL, V178, P82, DOI 10.1104/pp.18.00712
   Dahal K, 2017, NEW PHYTOL, V213, P560, DOI 10.1111/nph.14169
   Dinakar C, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00068
   Drake BG, 1999, PLANT CELL ENVIRON, V22, P649, DOI 10.1046/j.1365-3040.1999.00438.x
   Duan HL, 2013, TREE PHYSIOL, V33, P779, DOI 10.1093/treephys/tpt061
   Dusenge ME, 2019, NEW PHYTOL, V221, P32, DOI 10.1111/nph.15283
   Fabregas N, 2019, J EXP BOT, V70, P1077, DOI 10.1093/jxb/ery437
   Fait A, 2008, TRENDS PLANT SCI, V13, P14, DOI 10.1016/j.tplants.2007.10.005
   Gifford RM, 2003, FUNCT PLANT BIOL, V30, P171, DOI 10.1071/FP02083
   Golovko T.K., 1999, DYKHANIE RASTENII FI
   GonzalezMeler MA, 1996, PLANT PHYSIOL, V112, P1349, DOI 10.1104/pp.112.3.1349
   Gonzelez-Meller MA, 2004, ANN BOT-LONDON, V94, P647, DOI 10.1093/aob/mch189
   Griffin KL, 2013, PLANT BIOLOGY, V15, P769, DOI 10.1111/j.1438-8677.2012.00703.x
   Guo R, 2018, AOB PLANTS, V10, DOI 10.1093/aobpla/ply016
   Heskel MA, 2016, P NATL ACAD SCI USA, V113, P3832, DOI 10.1073/pnas.1520282113
   Hou LD, 2021, MICROB CELL FACT, V20, DOI 10.1186/s12934-021-01626-y
   Huntingford C, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01774-z
   JORDAN DB, 1984, PLANTA, V161, P308, DOI 10.1007/BF00398720
   Keenan TF, 2013, NATURE, V499, P324, DOI 10.1038/nature12291
   KERBEL EL, 1988, PLANT PHYSIOL, V86, P1205, DOI 10.1104/pp.86.4.1205
   Kruse J, 2011, NEW PHYTOL, V189, P659, DOI 10.1111/j.1469-8137.2010.03576.x
   KU SB, 1977, PLANT PHYSIOL, V59, P991, DOI 10.1104/pp.59.5.991
   Lambers H, 2005, ADV PHOTO RESPIRAT, V18, P1
   Landi S, 2016, PLANT PHYSIOL BIOCH, V105, P79, DOI 10.1016/j.plaphy.2016.04.013
   Leakey ADB, 2009, P NATL ACAD SCI USA, V106, P3597, DOI 10.1073/pnas.0810955106
   Lee CP, 2010, MOL CELL PROTEOMICS, V9, P2125, DOI 10.1074/mcp.M110.001214
   Leuzinger S, 2011, TRENDS ECOL EVOL, V26, P236, DOI 10.1016/j.tree.2011.02.011
   Li GY, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.678653
   Li X, 2013, SCI REP-UK, V3, DOI 10.1038/srep03433
   Li X, 2020, BIOTECHNOL BIOTEC EQ, V34, P905, DOI 10.1080/13102818.2020.1811766
   Liu J, 2013, PLANT CELL REP, V32, P415, DOI 10.1007/s00299-012-1374-1
   Maurino VG, 2010, CURR OPIN PLANT BIOL, V13, P249, DOI 10.1016/j.pbi.2010.01.006
   Mazzeo MF, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0201027
   McClung CR, 2000, PLANT PHYSIOL, V123, P381, DOI 10.1104/pp.123.1.381
   Moroney JV, 2013, PHOTOSYNTH RES, V117, P121, DOI 10.1007/s11120-013-9865-7
   O'Leary BM, 2020, PLANT CELL, V32, P666, DOI 10.1105/tpc.19.00157
   O'Leary BM, 2019, NEW PHYTOL, V222, P670, DOI 10.1111/nph.15576
   Olas JJ, 2021, MOL PLANT, V14, P1508, DOI 10.1016/j.molp.2021.05.024
   Pärnik T, 2007, PHYSIOL PLANTARUM, V129, P34, DOI 10.1111/j.1399-3054.2006.00824.x
   Peng C, 2015, PLANT PHYSIOL, V169, P1807, DOI 10.1104/pp.15.00461
   Pinelli P, 2003, J EXP BOT, V54, P1761, DOI 10.1093/jxb/erg187
   Preiser AL, 2019, BIOCHEM J, V476, P1539, DOI 10.1042/BCJ20190234
   Rakhmankulova ZF, 2019, RUSS J PLANT PHYSL+, V66, P365, DOI 10.1134/S1021443719030117
   Rakhmankulova ZF, 2018, RUSS J PLANT PHYSL+, V65, P303, DOI 10.1134/S1021443718030068
   Rakhmankulova Z.F., 2009, B BASHKIR U, V14, P1141
   Rakhmankulova Z, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10030491
   Rasmusson AG, 2007, PHYSIOL PLANTARUM, V129, P57, DOI 10.1111/j.1399-3054.2006.00797.x
   Reich PB, 2016, NATURE, V531, P633, DOI 10.1038/nature17142
   Ren SX, 2019, FORESTS, V10, DOI 10.3390/f10050383
   Saha B, 2016, PLANT SIGNAL BEHAV, V11, DOI 10.1080/15592324.2016.1256530
   Schertl P, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00163
   Semikhatova OA, 2007, RUSS J PLANT PHYSL+, V54, P582, DOI 10.1134/S1021443707050020
   Semikhatova OA, 2009, RUSS J PLANT PHYSL+, V56, P306, DOI 10.1134/S1021443709030029
   Shameer S, 2019, PLANT PHYSIOL, V180, P1947, DOI 10.1104/pp.19.00624
   Shapiro JB, 2004, NEW PHYTOL, V162, P377, DOI 10.1111/j.1469-8137.2004.01046.x
   SHARKEY TD, 1988, PHYSIOL PLANTARUM, V73, P147, DOI 10.1111/j.1399-3054.1988.tb09205.x
   Sharkey TD, 2021, CELLS-BASEL, V10, DOI 10.3390/cells10061547
   Sharkey TD, 2020, BIOCHEM J, V477, P3237, DOI 10.1042/BCJ20200480
   Sharkey TD, 2016, J EXP BOT, V67, P4067, DOI 10.1093/jxb/erv484
   Smith NG, 2017, ADV PHOTOSYNTH RESP, V43, P69, DOI 10.1007/978-3-319-68703-2_4
   Smith NG, 2017, GLOBAL CHANGE BIOL, V23, P4840, DOI 10.1111/gcb.13735
   Smith NG, 2013, GLOBAL CHANGE BIOL, V19, P45, DOI 10.1111/j.1365-2486.2012.02797.x
   Stincone A, 2015, BIOL REV, V90, P927, DOI 10.1111/brv.12140
   Svensson ÅS, 2001, PLANT J, V28, P73, DOI 10.1046/j.1365-313X.2001.01128.x
   Sweetlove LJ, 2010, TRENDS PLANT SCI, V15, P462, DOI 10.1016/j.tplants.2010.05.006
   Tcherkez G., 2017, PLANT RESP METABOLIC, DOI [10.1007/978-3-319-68703-2, DOI 10.1007/978-3-319-68703-2_14]
   Tcherkez G, 2021, NEW PHYTOL, V230, P5, DOI 10.1111/nph.17164
   Tcherkez G, 2009, PLANT PHYSIOL, V151, P620, DOI 10.1104/pp.109.142976
   The Physical Science Basis, 2021, CLIM CHANG 2021
   THOMAS RB, 1993, PLANT CELL ENVIRON, V16, P539, DOI 10.1111/j.1365-3040.1993.tb00901.x
   Todaka D, 2017, PLANT J, V90, P61, DOI 10.1111/tpj.13468
   Van Aken O, 2009, PHYSIOL PLANTARUM, V137, P354, DOI 10.1111/j.1399-3054.2009.01240.x
   van Dongen JT, 2011, J PLANT PHYSIOL, V168, P1434, DOI 10.1016/j.jplph.2010.11.004
   Vanlerberghe GC, 2020, MITOCHONDRION, V52, P197, DOI 10.1016/j.mito.2020.04.001
   Wang J, 2014, CAN J PLANT SCI, V94, P1091, DOI [10.4141/CJPS2013-176, 10.4141/cjps2013-176]
   Wang L, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-2292-y
   Wang XZ, 2004, ENVIRON EXP BOT, V51, P21, DOI 10.1016/S0098-8472(03)00057-1
   Wang XZ, 2001, P NATL ACAD SCI USA, V98, P2479, DOI 10.1073/pnas.051622998
   Wanniarachchi VR, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19030915
   Watanabe CK, 2014, PLANT CELL PHYSIOL, V55, P341, DOI 10.1093/pcp/pct185
   Wingler A, 1999, PLANT CELL ENVIRON, V22, P361, DOI 10.1046/j.1365-3040.1999.00410.x
   Wingler A, 2000, PHILOS T R SOC B, V355, P1517, DOI 10.1098/rstb.2000.0712
   Wu SC, 2019, MICROB CELL FACT, V18, DOI 10.1186/s12934-019-1214-x
   Xu ZZ, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00701
   Yu JJ, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01506
NR 102
TC 4
Z9 4
U1 2
U2 17
PU PLEIADES PUBLISHING INC
PI NEW YORK
PA PLEIADES HOUSE, 7 W 54 ST, NEW YORK,  NY, UNITED STATES
SN 1021-4437
EI 1608-3407
J9 RUSS J PLANT PHYSL+
JI Russ. J. Plant Physiol.
PD DEC
PY 2022
VL 69
IS 6
AR 109
DI 10.1134/S1021443722060218
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 6G9GF
UT WOS:000885058300018
DA 2025-01-10
ER

PT J
AU Zhang, TY
   Ning, ZH
   Chen, Y
   Wen, JH
   Jia, YX
   Wang, L
   Lv, XZ
   Yang, WF
   Qu, CQ
   Li, HY
   Wang, HE
   Qu, LJ
AF Zhang, Tongyu
   Ning, Zhonghua
   Chen, Yu
   Wen, Junhui
   Jia, Yaxiong
   Wang, Liang
   Lv, Xueze
   Yang, Weifang
   Qu, Changqing
   Li, Haiying
   Wang, Huie
   Qu, Lujiang
TI Understanding Transcriptomic and Serological Differences between Forced
   Molting and Natural Molting in Laying Hens
SO GENES
LA English
DT Article
DE forced molting; natural molting; serological indices; transcriptomic
   analysis; chickens
ID OVARIAN-FOLLICLE DEVELOPMENT; OXIDATIVE-PHOSPHORYLATION;
   GENE-EXPRESSION; CELL-ADHESION; APOPTOSIS; PATHOLOGY; QUALITY; LAYERS;
   WOMEN; AGE
AB Molting is natural adaptation to climate change in all birds, including chickens. Forced molting (FM) can rejuvenate and reactivate the reproductive potential of aged hens, but the effect of natural molting (NM) on older chickens is not clear. To explore why FM has a dramatically different effect on chickens compared with NM, the transcriptome analyses of the hypothalamus and ovary in forced molted and natural molted hens at two periods with feathers fallen and regrown were performed. Additionally, each experimental chicken was tested for serological indices. The results of serological indices showed that growth hormone, thyroid stimulating hormone, and thyroxine levels were significantly higher (p < 0.05) in forced molted hens than in natural molted hens, and calcitonin concentrations were lower in the forced molted than in the natural molted hens. Furthermore, the transcriptomic analysis revealed a large number of genes related to disease resistance and anti-aging in the two different FM and NM periods. These regulatory genes and serological indices promote reproductive function during FM. This study systematically revealed the transcriptomic and serological differences between FM and NM, which could broaden our understanding of aging, rejuvenation, egg production, and welfare issues related to FM in chickens.
C1 [Zhang, Tongyu; Ning, Zhonghua; Wen, Junhui; Qu, Lujiang] China Agr Univ, Coll Anim Sci & Technol, Natl Engn Lab Anim Breeding, State Key Lab Anim Nutr,Dept Anim Genet & Breedin, Beijing 100193, Peoples R China.
   [Chen, Yu; Wang, Liang; Lv, Xueze; Yang, Weifang] Beijing Anim Husb & Vet Stn, Beijing 100107, Peoples R China.
   [Jia, Yaxiong] Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China.
   [Qu, Changqing] Fuyang Normal Univ, Engn Technol Res Ctr Antiaging Chinese Herbal Med, Fuyang 236037, Peoples R China.
   [Li, Haiying] Xinjiang Agr Univ, Coll Anim Sci, Urumqi 830052, Peoples R China.
   [Wang, Huie] Tarim Univ, Coll Anim Sci, Alar 843300, Peoples R China.
C3 China Agricultural University; Chinese Academy of Agricultural Sciences;
   Institute of Animal Science, CAAS; Fuyang Normal University; Xinjiang
   Agricultural University; Tarim University
RP Qu, LJ (corresponding author), China Agr Univ, Coll Anim Sci & Technol, Natl Engn Lab Anim Breeding, State Key Lab Anim Nutr,Dept Anim Genet & Breedin, Beijing 100193, Peoples R China.
EM zhangty0611@126.com; ningzhh@cau.edu.cn; chenyu.cncn@163.com;
   wjh8545@cau.edu.cn; jiayaxiong@caas.cn; wangliangcau@139.com;
   lvxueze0310@163.com; carspstp@126.com; qucq518@163.com; lhy-3@163.com;
   whedky@126.com; quluj@cau.edu.cn
RI qu, changqing/HSI-4312-2023; wang, zhiwen/JDV-9990-2023; li,
   haiying/KJL-3941-2024
FU Beijing Innovation Team of the Modern Agro-industry Technology Research
   System [BAIC04-2021]; Modern Agricultural Industry Technology System
   [CARS-41]
FX We are also grateful for the financial support provided by the Beijing
   Innovation Team of the Modern Agro-industry Technology Research System
   (BAIC04-2021) and the Modern Agricultural Industry Technology System
   (CARS-41).
CR ABE E, 1982, J NUTR, V112, P436, DOI 10.1093/jn/112.3.436
   Anderson KE, 2013, POULTRY SCI, V92, P3259, DOI 10.3382/ps.2013-03377
   Andreatti RL, 2019, POULTRY SCI, V98, P4416, DOI 10.3382/ps/pez248
   Baden KN, 2007, J BIOL CHEM, V282, P34839, DOI 10.1074/jbc.M703528200
   Berridge MJ, 2016, PHYSIOL REV, V96, P1261, DOI 10.1152/physrev.00006.2016
   Boljevic I, 2020, J BUON, V25, P1911
   Briley SM, 2016, REPRODUCTION, V152, P245, DOI 10.1530/REP-16-0129
   Burkhardt NB, 2019, FRONT IMMUNOL, V10, DOI 10.3389/fimmu.2019.00124
   Cen CH, 2020, BIOL REPROD, V103, P60, DOI 10.1093/biolre/ioaa042
   Chermula B, 2019, BIOMED RES INT, V2019, DOI 10.1155/2019/6545210
   Fujita T, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-78247-9
   Gao F, 2014, HUM MOL GENET, V23, P333, DOI 10.1093/hmg/ddt423
   GARLICH J, 1984, POULTRY SCI, V63, P339, DOI 10.3382/ps.0630339
   GASCOYNE J, 1988, World's Poultry Science Journal, V44, P112
   Gök ND, 2011, TURK J PATHOL, V27, P169, DOI 10.5146/tjpath.2011.01069
   Guo LX, 2021, GENE, V766, DOI 10.1016/j.gene.2020.145077
   Han GP, 2019, ASIAN AUSTRAL J ANIM, V32, P1715, DOI 10.5713/ajas.19.0180
   Hanlon C, 2021, FRONT PHYSIOL, V12, DOI 10.3389/fphys.2021.651491
   Hilliar M, 2019, POULTRY SCI, V98, P6857, DOI 10.3382/ps/pez435
   Johnstone O, 2004, DEVELOPMENT, V131, P4167, DOI 10.1242/dev.01286
   Kiat Y, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10452-1
   Kohan K, 2010, REPRODUCTION, V140, P123, DOI 10.1530/REP-10-0056
   Kratzsch J, 2008, BEST PRACT RES CL EN, V22, P57, DOI 10.1016/j.beem.2007.08.006
   Lee J., 2014, DERMATOL ONLINE J, V20, DOI [10.5070/D32010024233, DOI 10.5070/D32010024233]
   Leeson S, 2004, WORLD POULTRY SCI J, V60, P42, DOI 10.1079/WPS20040004
   Lesnefsky EJ, 2006, AGEING RES REV, V5, P402, DOI 10.1016/j.arr.2006.04.001
   Li JZ, 2009, BIOCHEM GENET, V47, P179, DOI 10.1007/s10528-008-9215-1
   Li JJ, 2018, 3 BIOTECH, V8, DOI 10.1007/s13205-018-1504-8
   Liu XT, 2018, AGING-US, V10, P2016, DOI 10.18632/aging.101526
   Luo GF, 2019, CANCER CELL INT, V19, DOI 10.1186/s12935-019-0755-8
   Ma Z, 2021, POULTRY SCI, V100, DOI 10.1016/j.psj.2021.101110
   Madekurozwa MC, 2020, ANAT HISTOL EMBRYOL, V49, P521, DOI 10.1111/ahe.12556
   Madekurozwa MCN, 2018, ANAT HISTOL EMBRYOL, V47, P493, DOI 10.1111/ahe.12370
   Mangoni AA, 2019, AGE AGEING, V48, P776, DOI 10.1093/ageing/afz083
   McCully KS, 2020, ANN CLIN LAB SCI, V50, P567
   Mebis L, 2009, NETH J MED, V67, P332
   Ohtsuki S, 2007, BIOL PHARM BULL, V30, P1144, DOI 10.1248/bpb.30.1144
   Rux DR, 2017, DEV DYNAM, V246, P310, DOI 10.1002/dvdy.24482
   Seguin CL, 2021, J AM COLL RADIOL, V18, P10, DOI 10.1016/j.jacr.2020.09.048
   Shen L, 2019, J CELL PHYSIOL, V234, P22554, DOI 10.1002/jcp.28819
   Silva KE, 2020, J ANIM SCI, V98, DOI 10.1093/jas/skaa157
   Silva-Mendonça MCA, 2015, BRIT POULTRY SCI, V56, P598, DOI 10.1080/00071668.2015.1084412
   Socha JK, 2019, DOMEST ANIM ENDOCRIN, V69, P84, DOI 10.1016/j.domaniend.2019.05.001
   Stordal B, 2013, MOL ONCOL, V7, P567, DOI 10.1016/j.molonc.2012.12.007
   Tomic D, 2004, MOL ENDOCRINOL, V18, P2224, DOI 10.1210/me.2003-0414
   Wang GP, 2016, BIOL PHARM BULL, V39, P207, DOI 10.1248/bpb.b15-00601
   Wang J, 2019, CELL MOL BIOL, V65, P138, DOI 10.14715/cmb/2019.65.7.24
   Wang M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-38435-0
   Wang S, 2020, CELL, V180, P585, DOI 10.1016/j.cell.2020.01.009
   Whyte A, 1996, J COMP PATHOL, V115, P429, DOI 10.1016/S0021-9975(96)80076-4
   Xian L, 2012, EUR J OBSTET GYN R B, V161, P117, DOI 10.1016/j.ejogrb.2011.12.017
   Xu WD, 2018, AGING-US, V10, P4093, DOI 10.18632/aging.101699
   Xu ZX, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-018-5301-x
   Yang LB, 2020, POULTRY SCI, V99, P1199, DOI 10.1016/j.psj.2019.10.021
   Yao JW, 2020, OXID MED CELL LONGEV, V2020, DOI 10.1155/2020/3648040
   Zhang ZR, 2019, ANIM BIOTECHNOL, V30, P233, DOI 10.1080/10495398.2018.1476377
   Zhou Y, 2018, MOL MED REP, V17, P3246, DOI 10.3892/mmr.2017.8205
   Zinski J, 2018, CSH PERSPECT BIOL, V10, DOI 10.1101/cshperspect.a033274
NR 58
TC 5
Z9 5
U1 2
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4425
J9 GENES-BASEL
JI Genes
PD JAN
PY 2022
VL 13
IS 1
AR 89
DI 10.3390/genes13010089
PG 18
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA ZD7OI
UT WOS:000758385500001
PM 35052428
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Díaz-López, C
   Jódar, J
   Verichev, K
   Rodríguez, ML
   Carpio, M
   Zamorano, M
AF Diaz-Lopez, Carmen
   Jodar, Joaquin
   Verichev, Konstantin
   Rodriguez, Miguel Luis
   Carpio, Manuel
   Zamorano, Montserrat
TI Dynamics of Changes in Climate Zones and Building Energy Demand. A Case
   Study in Spain
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE climate zone; climate change; building; energy demand; building
   resilience
ID RESIDENTIAL BUILDINGS; CHANGE IMPACT; WEATHER DATA; SCENARIOS;
   CONSUMPTION; EMISSIONS
AB In the current context of the climate crisis, it is essential to design buildings that can cope with climate dynamics throughout their life cycle. It will ensure the development of sustainable and resilient building stock. Thus, this study's primary objective has been to demonstrate that the current climatic zones for buildings in peninsular Spain do not represent the current climatic reality and are not adapted to climate change and the impact on the energy demand of buildings. For this reason, the climatic zones of 7967 peninsular cities have been updated and adapted to the RCP 4.5 and RCP 8.5 scenarios by using the data measured in 77 meteorological reference stations. The results obtained have shown that in more than 80% of the cities, buildings are designed and constructed according to an obsolete climatic classification that does not take into account the current or future climatic reality, which will significantly affect the thermal performance of a building and highlights the need to review the climatic zoning in the country. The results obtained can be extrapolated to other regions. The methodology defined in this work can be used as a reference, thus making an essential scientific contribution in reflecting on current capacities and the possibilities of improving the building stock.
C1 [Diaz-Lopez, Carmen; Zamorano, Montserrat] Univ Granada, ETS Ingn Caminos Canales & Puertos, Dept Civil Engn, Campus Fuentenueva S-N, Granada 18071, Spain.
   [Jodar, Joaquin] Univ Jaen, Dept Math, Campus Las Lagunillas, Jaen 23071, Spain.
   [Verichev, Konstantin] Univ Austral Chile, Inst Civil Engn, Gen Lagos 2050, Valdivia 5111187, Chile.
   [Rodriguez, Miguel Luis] Univ Granada, Dept Appl Math, Campus Fuentenueva, Granada 18071, Spain.
   [Carpio, Manuel] Pontificia Univ Catolica Chile, Sch Engn, Dept Construct Engn & Management, Ave Vicuna Mackenna 4860, Santiago 7820436, Chile.
C3 University of Granada; Universidad de Jaen; Universidad Austral de
   Chile; University of Granada; Pontificia Universidad Catolica de Chile
RP Zamorano, M (corresponding author), Univ Granada, ETS Ingn Caminos Canales & Puertos, Dept Civil Engn, Campus Fuentenueva S-N, Granada 18071, Spain.
EM carmendiaz@ugr.es; jjodar@ujaen.es; konstantin.verichev@uach.cl;
   miguelrg@ugr.es; manuel.carpio@ing.puc.cl; zamorano@ugr.es
RI Jódar Reyes, Joaquín/AGJ-7171-2022; Verichev, Konstantin/AAC-9438-2019;
   Zamorano, Montserrat/I-5859-2012; Diaz-Lopez, Carmen/AAF-8921-2019;
   Carpio, Manuel/F-6097-2016; Rodriguez, Miguel L./K-9452-2014
OI Diaz-Lopez, Carmen/0000-0002-6378-6624; Jodar Reyes,
   Joaquin/0000-0002-8421-019X; Verichev, Konstantin/0000-0001-6523-1238;
   Carpio, Manuel/0000-0001-9593-6669; Rodriguez, Miguel
   L./0000-0002-0743-9783; Zamorano, Montserrat/0000-0002-2030-1076
FU Junta de Andalucia [FQM191, TEP968, FQM178]; University of Jaen
   [EI_FQM8]; ANID PFCHA/DOCTORADO BECAS [CHILE/2019-21191227]; Fundacion
   Biodiversidad, del Ministerio para la Transicion Ecologica (the Ministry
   for Ecological Transition) Agencia Nacional de Investigacion y
   Desarrollo (ANID) de Chile: ANID FONDECYT [1201052]
FX This research was funded by the Junta de Andalucia (Research Groups
   FQM191, TEP968 and FQM178), the University of Jaen (Research Structure
   EI_FQM8), Fundacion Biodiversidad, del Ministerio para la Transicion
   Ecologica (the Ministry for Ecological Transition) Agencia Nacional de
   Investigacion y Desarrollo (ANID) de Chile: ANID FONDECYT 1201052; ANID
   PFCHA/DOCTORADO BECAS CHILE/2019-21191227.
CR Adloff F, 2015, CLIM DYNAM, V45, P2775, DOI 10.1007/s00382-015-2507-3
   Aiyin Jiang, 2018, International Journal of Construction Education and Research, V14, P22, DOI 10.1080/15578771.2017.1280104
   Amato AD, 2005, CLIMATIC CHANGE, V71, P175, DOI 10.1007/s10584-005-5931-2
   Andric I, 2016, ENERG BUILDINGS, V126, P77, DOI 10.1016/j.enbuild.2016.04.082
   [Anonymous], 2019, COD TECN ED, P1
   [Anonymous], 2011, TITRE IER CONSTR DES, P2007
   da Guarda ELA, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101843
   Asimakopoulos DA, 2012, ENERG BUILDINGS, V49, P488, DOI 10.1016/j.enbuild.2012.02.043
   Australian Building Codes Board, 2019, HDB ENERGY EFFICIENC, VTwo
   Avendaño-Vera C, 2020, RENEW SUST ENERG REV, V131, DOI 10.1016/j.rser.2020.110031
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Bellia L, 1998, INT J ENERG RES, V22, P1205
   Belzer DB, 1996, ENERG SOURCE, V18, P177, DOI 10.1080/00908319608908758
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Brown MA, 2016, CLIMATIC CHANGE, V134, P29, DOI 10.1007/s10584-015-1527-7
   Buhmann MD, 2001, ACT NUMERIC, V9, P1, DOI 10.1017/S0962492900000015
   Burden R. L., 2016, Numerical analysis
   Carpio M, 2015, ENERG BUILDINGS, V87, P253, DOI 10.1016/j.enbuild.2014.11.041
   Chan ALS, 2011, ENERG BUILDINGS, V43, P2860, DOI 10.1016/j.enbuild.2011.07.003
   Christenson M, 2006, ENERG CONVERS MANAGE, V47, P671, DOI 10.1016/j.enconman.2005.06.009
   Chuwah C, 2013, ATMOS ENVIRON, V79, P787, DOI 10.1016/j.atmosenv.2013.07.008
   De Rosa M, 2014, APPL ENERG, V128, P217, DOI 10.1016/j.apenergy.2014.04.067
   Dodoo A, 2014, ENRGY PROCED, V61, P1179, DOI 10.1016/j.egypro.2014.11.1048
   Dolinar M, 2010, PHYS CHEM EARTH, V35, P100, DOI 10.1016/j.pce.2010.03.003
   Ferreira Miguel., 2009, Regulamento Das Caracteristicas de Comportamento Termico de Edificios (RCCTE), P67
   Grontoft T, 2011, INT J CLIM CHANG STR, V3, P374, DOI 10.1108/17568691111175669
   Guan L, 2009, BUILD ENVIRON, V44, P793, DOI 10.1016/j.buildenv.2008.05.021
   Hekkenberg M, 2009, ENERGY, V34, P1797, DOI 10.1016/j.energy.2009.07.037
   International Code Council, 2000, INT EN CONS COD IECC
   Jylhä K, 2015, ENERG BUILDINGS, V99, P104, DOI 10.1016/j.enbuild.2015.04.001
   Lastra-Bravo XB, 2013, ENRGY PROCED, V42, P513, DOI 10.1016/j.egypro.2013.11.052
   López-Ochoa LM, 2017, ENERG BUILDINGS, V150, P567, DOI 10.1016/j.enbuild.2017.06.023
   Lorusso A, 1998, J AGR ENG RES, V71, P285, DOI 10.1006/jaer.1998.0328
   Mulvaney D., 2019, SOL POWER, P47
   Nik VM, 2015, BUILD ENVIRON, V93, P362, DOI 10.1016/j.buildenv.2015.07.012
   Olonscheck M, 2011, ENERG POLICY, V39, P4795, DOI 10.1016/j.enpol.2011.06.041
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Parker J, 2021, ENERG BUILDINGS, V235, DOI 10.1016/j.enbuild.2020.110636
   Rakoto-Joseph O, 2009, ENERG CONVERS MANAGE, V50, P1004, DOI 10.1016/j.enconman.2008.12.011
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Roux C, 2016, APPL ENERG, V184, P619, DOI 10.1016/j.apenergy.2016.10.043
   Sailor DJ, 2014, BUILD ENVIRON, V78, P81, DOI 10.1016/j.buildenv.2014.04.012
   Salmerón JM, 2013, ENERG BUILDINGS, V58, P372, DOI 10.1016/j.enbuild.2012.09.039
   Seljom P, 2011, ENERG POLICY, V39, P7310, DOI 10.1016/j.enpol.2011.08.054
   Shi Y, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abbde8
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   Troup L, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113821
   Verichev K, 2020, ENERG BUILDINGS, V215, DOI 10.1016/j.enbuild.2020.109874
   Walsh A, 2017, BUILD ENVIRON, V112, P337, DOI 10.1016/j.buildenv.2016.11.046
   Wang XM, 2010, BUILD ENVIRON, V45, P1663, DOI 10.1016/j.buildenv.2010.01.022
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Xu P, 2012, ENERGY, V44, P792, DOI 10.1016/j.energy.2012.05.013
   Zhai ZJ, 2019, SUSTAIN CITIES SOC, V44, P511, DOI 10.1016/j.scs.2018.10.043
NR 53
TC 22
Z9 22
U1 2
U2 7
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
PY 2021
VL 11
IS 9
AR 4261
DI 10.3390/app11094261
PG 22
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA SB3GD
UT WOS:000649886400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Hernandez, ALG
   Bolwig, S
AF Garcia Hernandez, Alma Lucia
   Bolwig, Simon
TI Understanding climate policy integration in the global South through the
   multiple streams framework
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate policy integration; climate mainstreaming; policy windows;
   multiple streams framework; developing countries
ID CHANGE ADAPTATION; ENERGY-POLICY; EU; GOVERNANCE; COHERENCE;
   ENVIRONMENT; CHALLENGES; MITIGATION; IDEAS
AB Actions needed to mitigate and adapt to climate change have often synergies and trade-offs with sectoral and sustainable development priorities, and the recent focus on SDGs and sustainable transitions highlights the need to integrate climate action into other policy spheres. This process is known as climate policy integration (CPI) or climate mainstreaming. Enhancing its understanding as a public policy making process can provide insights for its operationalization, which becomes relevant in the context of the implementation of Nationally Determined Contributions in the global South. This paper aims to enhance the understanding of the how windows of opportunity for CPI are formed by drawing on elements from the multiple streams framework (MSF) developed by John Kingdon. This paper analyses grey literature regarding two cases of climate mainstreaming initiatives implemented by international cooperation organizations. The results show that relevant elements from the MSF, such as, attachment to other high-profile national issues, timing the integration with routine institutional procedures, and the presence of policy entrepreneurs, have been catalysing factors for CPI in the context of such initiatives. However, we can only assess the value of this analytical framework for CPI by testing it systematically through case studies in a variety of contexts.
C1 [Garcia Hernandez, Alma Lucia; Bolwig, Simon] Tech Univ Denmark, UNEP DTU Partnership, Dept Technol Management & Econ, Copenhagen O, Denmark.
C3 Technical University of Denmark
RP Hernandez, ALG (corresponding author), Tech Univ Denmark, Dept Technol Management & Econ, Marmorvej 51,Bldg FN Byen,Room 3-7-45, DK-2100 Copenhagen O, Denmark.
EM almag@dtu.dk
RI Bolwig, Simon/IAL-9177-2023; Bolwig, Simon/O-7237-2017
OI Garcia Hernandez, Alma Lucia/0000-0001-5250-8146; Bolwig,
   Simon/0000-0003-1537-7938
CR Adelle C, 2013, ENVIRON POLICY GOV, V23, P1, DOI 10.1002/eet.1601
   Ahmad I H., 2009, Climate Policy Integration: Towards Operationalization
   [Anonymous], 2017, PAR AGR UN FRAM CONV
   [Anonymous], C PART 7 SESS HELD M
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Béland D, 2009, J EUR PUBLIC POLICY, V16, P701, DOI 10.1080/13501760902983382
   Benson E, 2014, DEV PRACT, V24, P605, DOI 10.1080/09614524.2014.911819
   Bocquillon P, 2018, ENVIRON POLICY GOV, V28, P339, DOI 10.1002/eet.1820
   Brunner S, 2008, GLOBAL ENVIRON CHANG, V18, P501, DOI 10.1016/j.gloenvcha.2008.05.003
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Cairney Paul., 2007, BRIT POLIT, P45, DOI [DOI 10.1057/palgrave.bp.4200039, 10.1057/palgrave.bp.4200039]
   Campbell JL, 1998, THEOR SOC, V27, P377, DOI 10.1023/A:1006871114987
   Carter N, 2014, PUBLIC ADMIN, V92, P125, DOI 10.1111/padm.12046
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Dalal-Clayton B., 2009, The challenges of environmental mainstreaming: experience of integrating environment into development institutions and decisions
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   Doelman JC, 2019, GLOB FOOD SECUR-AGR, V23, P93, DOI 10.1016/j.gfs.2019.04.003
   Dupont C, 2012, J CONTEMP EUR RES, V8, P228
   European Commission, 2012, GCCA GLOB LEARN EV 2
   European Commission, 2013, INT CLIM STRAT CLIM, DOI [10.2841/22430, DOI 10.2841/22430]
   European Commission, 2013, GCCA GLOB POL EV 201
   European Commission, 2012, MAINSTR CLIM CHANG
   European Commission, 2014, LOCAL ACTION CLIMATE
   Fleurbaey M, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P283
   Geels FW, 2016, NAT CLIM CHANGE, V6, P576, DOI 10.1038/NCLIMATE2980
   Greer S., 2016, Oxford Academic Journals, P417, DOI DOI 10.1093/OXFORDHB/9780199646135.013.18
   Gupta J., 2010, MAINSTREAMING CLIMAT, P67, DOI DOI 10.1017/CBO9780511712067.004
   HALL PA, 1993, COMP POLIT, V25, P275, DOI 10.2307/422246
   Hermansen EAT, 2015, ENVIRON POLIT, V24, P932, DOI 10.1080/09644016.2015.1063887
   Howlett M, 1998, CAN J POLIT SCI, V31, P495, DOI 10.1017/S0008423900009100
   Howlett M, 2016, J COMP POLICY ANAL, V18, P273, DOI 10.1080/13876988.2015.1082261
   Humalisto NH, 2015, ENVIRON POLICY GOV, V25, P412, DOI 10.1002/eet.1692
   INGC, 2009, STUD IMP CLIM CHANG
   IRENA, 2017, Untapped potential for climate action: renewable energy in nationally determined contributions
   Keskitalo ECH, 2012, ENVIRON POLICY GOV, V22, P381, DOI 10.1002/eet.1579
   Kettner C, 2015, CRIT ISS ENVIR TAX, V16, P3
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Lohr E., 2017, TRANSPORT NDCS LESSO
   Lorenzoni I, 2014, GLOBAL ENVIRON CHANG, V29, P10, DOI 10.1016/j.gloenvcha.2014.07.011
   Mickwitz P, 2009, PEER Report
   Nilsson M, 2005, CLIM POLICY, V5, P363
   Nilsson Mans., 2003, J ENVIRON POL PLAN, V5, P333, DOI [DOI 10.1080/1523908032000171648, 10.1080/1523908032000171648]
   Olhoff A., 2009, SCREENING TOOLS GUID
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Page E.C., 2006, OXFORD HDB PUBLIC PO, P207
   Persson Å, 2016, ENVIRON PLANN C, V34, P478, DOI 10.1177/0263774X15614726
   Pilato G, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010174
   Rietig K, 2018, J EUR PUBLIC POLICY, V25, P487, DOI 10.1080/13501763.2016.1270345
   Rietig K, 2013, ENVIRON POLICY GOV, V23, P297, DOI 10.1002/eet.1616
   Runhaar H, 2016, ENVIRON IMPACT ASSES, V59, P1, DOI 10.1016/j.eiar.2016.03.003
   Runhaar H, 2014, ENVIRON POLICY GOV, V24, P233, DOI 10.1002/eet.1647
   Russel DJ, 2018, ENVIRON SCI POLICY, V82, P44, DOI 10.1016/j.envsci.2017.12.009
   Saito N, 2013, MITIG ADAPT STRAT GL, V18, P825, DOI 10.1007/s11027-012-9392-4
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Schout A, 2008, INNOVATION IN ENVIRONMENTAL POLICY: INTEGRATING THE ENVIRONMENT FOR SUSTAINABILITY, P49
   Scobie M, 2016, ENVIRON SCI POLICY, V58, P16, DOI 10.1016/j.envsci.2015.12.008
   Sovacool BK, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106529
   Steurer R, 2015, POLICY SCI, V48, P85, DOI 10.1007/s11077-014-9206-5
   Storbjrk S., 2009, Eur J Spat Dev, V7, P1
   Storch S, 2013, FOREST POLICY ECON, V36, P14, DOI 10.1016/j.forpol.2013.01.009
   Strohmaier R., 2016, The agriculture sectors in the Intended Nationally Determined Contributions: Analysis
   Tosun J, 2017, POLICY STUD-UK, V38, P553, DOI 10.1080/01442872.2017.1339239
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   UNDP UNEP, 2011, MAINSTR CLIM CHANG A
   UNDP-UNEP, 2017, MAINSTR ENV CLIM POV
   UNDP-UNEP, 2009, GUID NOT MAINSTR POV
   UNDP-UNEP, 2016, PEI ANN PROGR REP 20
   UNDP-UNEP, 2015, POV ENV IN
   UNDP-UNEP, 2013, PEI ANN PROGR REP 20
   UNFCCC, 2015, PAR AGR
   United Nations Environment Program, 2019, Emissions Gap Report 2019
   Vasileiadou E, 2013, ENVIRON POLIT, V22, P475, DOI 10.1080/09644016.2012.717376
   Visseren-Hamakers IJ, 2015, CURR OPIN ENV SUST, V14, P136, DOI 10.1016/j.cosust.2015.05.008
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
NR 78
TC 15
Z9 17
U1 2
U2 34
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JAN 2
PY 2021
VL 13
IS 1
BP 68
EP 80
DI 10.1080/17565529.2020.1723471
EA FEB 2020
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA QH4XV
UT WOS:000513368000001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Chang, YW
   Zhang, XX
   Lu, MX
   Du, YZ
   Zhu-Salzman, K
AF Chang, Ya-Wen
   Zhang, Xiao-Xiang
   Lu, Ming-Xing
   Du, Yu-Zhou
   Zhu-Salzman, Keyan
TI Molecular Cloning and Characterization of Small Heat Shock Protein Genes
   in the Invasive Leaf Miner Fly, <i>Liriomyza trifolii</i>
SO GENES
LA English
DT Article
DE Liriomyza trifolii; small heat shock protein; development stage; thermal
   stress; expression pattern
ID DEVELOPMENTAL EXPRESSION; THERMAL-STRESS; COMMON CUTWORM; EVOLUTIONARY;
   DROSOPHILA; SEQUENCE; DIPTERA; HSP70; IDENTIFICATION; ADAPTATION
AB Small heat shock proteins (sHSPs) comprise numerous proteins with diverse structure and function. As molecular chaperones, they play essential roles in various biological processes, especially under thermal stresses. In this study, we identified three sHSP-encoding genes, LtHSP19.5, LtHSP20.8 and LtHSP21.7b from Liriomyza trifolii, an important insect pest of ornamental and vegetable crops worldwide. Putative proteins encoded by these genes all contain a conserved alpha-crystallin domain that is typical of the sHSP family. Their expression patterns during temperature stresses and at different insect development stages were studied by reverse-transcription quantitative PCR (RT-qPCR). In addition, the expression patterns were compared with those of LtHSP21.3 and LtHSP21.7, two previously published sHSPs. When pupae were exposed to temperatures ranging from -20 to 45 degrees C for 1 h, all LtsHSPs were strongly induced by either heat or cold stresses, but the magnitude was lower under the low temperature range than high temperatures. Developmentally regulated differential expression was also detected, with pupae and prepupae featuring the highest expression of sHSPs. Results suggest that LtsHSPs play a role in the development of the invasive leaf miner fly and may facilitate insect adaptation to climate change.
C1 [Chang, Ya-Wen; Zhang, Xiao-Xiang; Lu, Ming-Xing; Du, Yu-Zhou] Yangzhou Univ, Coll Hort & Plant Protect, Inst Appl Entomol, Yangzhou 225009, Jiangsu, Peoples R China.
   [Du, Yu-Zhou] Yangzhou Univ, Joint Int Res Lab Agr & Agriprod Safety, Minist Educ, Yangzhou 225009, Jiangsu, Peoples R China.
   [Zhu-Salzman, Keyan] Texas A&M Univ, Dept Entomol, College Stn, TX 77843 USA.
C3 Yangzhou University; Yangzhou University; Texas A&M University System;
   Texas A&M University College Station
RP Du, YZ (corresponding author), Yangzhou Univ, Coll Hort & Plant Protect, Inst Appl Entomol, Yangzhou 225009, Jiangsu, Peoples R China.; Du, YZ (corresponding author), Yangzhou Univ, Joint Int Res Lab Agr & Agriprod Safety, Minist Educ, Yangzhou 225009, Jiangsu, Peoples R China.; Zhu-Salzman, K (corresponding author), Texas A&M Univ, Dept Entomol, College Stn, TX 77843 USA.
EM changyawen@hotmail.com; zxxyzu@yahoo.com; lumx@yzu.edu.cn;
   yzdu@yzu.edu.cn; ksalzman@tamu.edu
OI Du, Yu-Zhou/0000-0002-4452-7125
FU Modern Agriculture Industrial Technology System Program of Jiangsu [SXGC
   (2017) 218]; Jiangsu Science & Technology Support Program [BE2014410];
   postgraduate Research and Practice Innovation Program of Jiangsu
   Province [KYCX18_2374]; Yangzhou University International Academic
   Exchange Fund
FX This research was funded by the Modern Agriculture Industrial Technology
   System Program of Jiangsu (SXGC (2017) 218), the Jiangsu Science &
   Technology Support Program (BE2014410), the postgraduate Research and
   Practice Innovation Program of Jiangsu Province (KYCX18_2374), and the
   Yangzhou University International Academic Exchange Fund.
CR Abe Y, 2008, BIOL INVASIONS, V10, P951, DOI 10.1007/s10530-007-9173-2
   Bai J, 2019, PEERJ, V7, DOI 10.7717/peerj.6992
   Basha E, 2012, TRENDS BIOCHEM SCI, V37, P106, DOI 10.1016/j.tibs.2011.11.005
   Chang YW, 2019, B ENTOMOL RES, V109, P150, DOI 10.1017/S0007485318000354
   Chang YW, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0181355
   Chang YW, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0181862
   Chen B, 2002, CRYOLETTERS, V23, P173
   Colgan DF, 1997, GENE DEV, V11, P2755, DOI 10.1101/gad.11.21.2755
   Dou W, 2017, COMP BIOCHEM PHYS B, V213, P8, DOI 10.1016/j.cbpb.2017.07.005
   Feder ME, 1999, ANNU REV PHYSIOL, V61, P243, DOI 10.1146/annurev.physiol.61.1.243
   Franck E, 2004, J MOL EVOL, V59, P792, DOI 10.1007/s00239-004-0013-z
   Gao YL, 2017, PEST MANAG SCI, V73, P1775, DOI 10.1002/ps.4591
   GEHRING WJ, 1995, P NATL ACAD SCI USA, V92, P2994, DOI 10.1073/pnas.92.7.2994
   Grace ML, 2004, J BIOL CHEM, V279, P8102, DOI 10.1074/jbc.M309376200
   Gu J, 2012, INSECT MOL BIOL, V21, P535, DOI 10.1111/j.1365-2583.2012.01158.x
   Gusev NB, 2002, BIOCHEMISTRY-MOSCOW+, V67, P511, DOI 10.1023/A:1015549725819
   HAASS C, 1990, J CELL SCI, V96, P413
   Haslbeck M, 2005, NAT STRUCT MOL BIOL, V12, P842, DOI 10.1038/nsmb993
   HORWITZ J, 1992, P NATL ACAD SCI USA, V89, P10449, DOI 10.1073/pnas.89.21.10449
   Hu JT, 2014, J INSECT PHYSIOL, V67, P105, DOI 10.1016/j.jinsphys.2014.06.009
   Huang LH, 2007, INSECT MOL BIOL, V16, P491, DOI 10.1111/j.1365-2583.2007.00744.x
   Huang LH, 2009, J INSECT PHYSIOL, V55, P279, DOI 10.1016/j.jinsphys.2008.12.004
   HUNT C, 1985, P NATL ACAD SCI USA, V82, P6455, DOI 10.1073/pnas.82.19.6455
   Joanisse DR, 1998, J BIOSCIENCES, V23, P369, DOI 10.1007/BF02936130
   JOHNSON MW, 1983, J ECON ENTOMOL, V76, P1061, DOI 10.1093/jee/76.5.1061
   Johnston JA, 1998, J CELL BIOL, V143, P1883, DOI 10.1083/jcb.143.7.1883
   Kang L, 2009, ANNU REV ENTOMOL, V54, P127, DOI 10.1146/annurev.ento.54.110807.090507
   King AM, 2015, ANNU REV ENTOMOL, V60, P59, DOI 10.1146/annurev-ento-011613-162107
   LINDQUIST S, 1988, ANNU REV GENET, V22, P631, DOI 10.1146/annurev.ge.22.120188.003215
   LINDQUIST S, 1990, ENZYME, V44, P147, DOI 10.1159/000468754
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Lu MX, 2016, J THERM BIOL, V57, P110, DOI 10.1016/j.jtherbio.2016.03.005
   Lu MX, 2014, CELL STRESS CHAPERON, V19, P91, DOI 10.1007/s12192-013-0437-8
   Martin-Folgar R, 2015, COMP BIOCHEM PHYS A, V188, P76, DOI 10.1016/j.cbpa.2015.06.023
   Moseley PL, 1997, J APPL PHYSIOL, V83, P1413, DOI 10.1152/jappl.1997.83.5.1413
   Pan DD, 2018, CELL STRESS CHAPERON, V23, P55, DOI 10.1007/s12192-017-0823-8
   PARRELLA MP, 1985, ANN ENTOMOL SOC AM, V78, P90, DOI 10.1093/aesa/78.1.90
   Quan GX, 2018, CELL STRESS CHAPERON, V23, P141, DOI 10.1007/s12192-017-0832-7
   Reitz SR, 1999, AGR ECOSYST ENVIRON, V73, P185, DOI 10.1016/S0167-8809(99)00016-X
   Reitz SR, 2002, ENTOMOL EXP APPL, V102, P101, DOI 10.1023/A:1015861716270
   Rinehart JP, 2007, P NATL ACAD SCI USA, V104, P11130, DOI 10.1073/pnas.0703538104
   Rubenstein RC, 2001, AM J PHYSIOL-LUNG C, V281, pL43, DOI 10.1152/ajplung.2001.281.1.L43
   Saravanakumar R, 2008, BIOLOGIA, V63, P737, DOI 10.2478/s11756-008-0124-x
   Scheffer SJ, 2006, ANN ENTOMOL SOC AM, V99, P991, DOI 10.1603/0013-8746(2006)99[991:MPOTVP]2.0.CO;2
   Shen Y, 2011, J INSECT PHYSIOL, V57, P908, DOI 10.1016/j.jinsphys.2011.03.026
   Sorensen JG, 2003, ECOL LETT, V6, P1025, DOI 10.1046/j.1461-0248.2003.00528.x
   Spencer K. A., 1973, Agromyzidae (Diptera) of Economic Importance, V9, P19
   Sun M, 2014, INT J MOL SCI, V15, P23196, DOI 10.3390/ijms151223196
   Tabaska JE, 1999, GENE, V231, P77, DOI 10.1016/S0378-1119(99)00104-3
   Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
   Tang XT, 2015, J ASIA-PAC ENTOMOL, V18, P529, DOI 10.1016/j.aspen.2015.07.005
   Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
   Wang HH, 2014, J INTEGR AGR, V13, P2196, DOI 10.1016/S2095-3119(13)60680-2
   Wang HH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098761
   Wang Z.G., 2007, PLANT QUARANTINE, V21, P19
   Wen JZ, 1998, CHINA PLANT PROT, V24, P18
   Weng Jinzeng, 1996, Entomotaxonomia, V18, P311
   Wu CH, 2001, MOL CELL BIOL, V21, P1593, DOI 10.1128/MCB.21.5.1593-1602.2001
   [相君成 Xiang Juncheng], 2012, [生态学报, Acta Ecologica Sinica], V32, P1616
   [杨飞 Yang Fei], 2010, [植物保护, Plant Protection], V36, P108
NR 60
TC 12
Z9 16
U1 4
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4425
J9 GENES-BASEL
JI Genes
PD OCT
PY 2019
VL 10
IS 10
AR 775
DI 10.3390/genes10100775
PG 12
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA JP6UA
UT WOS:000498397100046
PM 31623413
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Cookson, E
   Hill, DJ
   Lawrence, D
AF Cookson, Evangeline
   Hill, Daniel J.
   Lawrence, Dan
TI Impacts of long term climate change during the collapse of the Akkadian
   Empire
SO JOURNAL OF ARCHAEOLOGICAL SCIENCE
LA English
DT Article
DE Climate; Mesopotamia; 4.2kyr event; Societal collapse; Holocene
ID FERTILE CRESCENT; BRONZE-AGE; HOLOCENE; SETTLEMENT; ENVIRONMENT; MODEL;
   CIVILIZATION; VARIABILITY; EVOLUTION; FEEDBACK
AB Four thousand years ago what is often considered to be the world's first empire, the Akkadian Empire, collapsed. Proxy data has suggested a regional aridification event coincided with this collapse, but there is a lack of records collected from within the Mesopotamian region, where the Akkadian Empire was based. Here we analyse a suite of simulations from the HadCM3 climate model covering the last 6000 years. The results show that long-term drivers produced a shift to a more arid climate, showing minima in both precipitation and river flow at 2000 BCE, whilst temperatures were colder at 2250 BCE. These changes were sufficient to have a negative impact on the natural vegetation in Mesopotamia, suggesting that this climate change would have also impacted the agriculture sustaining local communities. We suggest that the combined effects of climate change and land mismanagement would lead to shortages of water and food, which may have contributed to social disruption and the collapse of the Akkadian Empire. We also find examples of resilience through the surviving cities such as Tell Brak and Tell Mozan. These could provide lessons for adapting to climate change in the future, as modern-day climate change threatens food and water security.
C1 [Cookson, Evangeline; Hill, Daniel J.] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England.
   [Lawrence, Dan] Univ Durham, Dept Archaeol, South Rd, Durham DH1 1LE, England.
C3 University of Leeds; Durham University
RP Cookson, E (corresponding author), Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England.
EM ee15ec@leeds.ac.uk
RI Hill, Daniel/LQJ-7543-2024
OI Hill, Daniel/0000-0001-5492-3925
FU Durham University International Engagement grant; European Research
   Council under the European Union [802424]; European Research Council
   (ERC) [802424] Funding Source: European Research Council (ERC)
FX E.C. performed these analyses for her research experience placement in
   the School of Earth and Environment and as part of her dissertation on
   BSc Environmental Science at the University of Leeds. The model
   simulations were undertaken by D.J.H. on ARC1, part of the High
   Performance Computing facilities at the University of Leeds, UK. Climate
   model results are archived at the University of Leeds and are available
   upon request through D.J.H. D.L. contributed archaeological expertise.
   All three authors wrote parts of the paper. This research was enhanced
   by a Durham University International Engagement grant. This project has
   received funding from the European Research Council under the European
   Union's Horizon 2020 research and innovation programme, grant agreement
   No 802424, award holder Dr Dan Lawrence.
CR [Anonymous], 2016, Met Office climate prediction model: HadCM3
   [Anonymous], 2001, DESCRIPTION TRIFFID
   Babu CA., 2011, Int. J. Water Resour. Arid Environ, V1, P180
   Bar-Matthews M, 2011, HOLOCENE, V21, P163, DOI 10.1177/0959683610384165
   Baudena M, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR007172
   BLUNIER T, 1995, NATURE, V374, P46, DOI 10.1038/374046a0
   Booth RK, 2005, HOLOCENE, V15, P321, DOI 10.1191/0959683605hl825ft
   Butzer KW, 2012, P NATL ACAD SCI USA, V109, P3632, DOI 10.1073/pnas.1114845109
   Carolin SA, 2019, P NATL ACAD SCI USA, V116, P67, DOI 10.1073/pnas.1808103115
   CHARNEY J, 1975, SCIENCE, V187, P434, DOI 10.1126/science.187.4175.434
   Cheng H, 2015, GEOPHYS RES LETT, V42, P8641, DOI 10.1002/2015GL065397
   de Châtel F, 2014, MIDDLE EASTERN STUD, V50, P521, DOI 10.1080/00263206.2013.850076
   Dong GH, 2013, J ARCHAEOL SCI, V40, P2538, DOI 10.1016/j.jas.2012.10.002
   Eklund L, 2017, ECOL SOC, V22, DOI [10.5751/ES-09179-220409, 10.5751/es-09179-220409]
   Eltahir EAB, 1998, WATER RESOUR RES, V34, P765, DOI 10.1029/97WR03499
   Falloon P, 2011, J HYDROMETEOROL, V12, P1157, DOI 10.1175/2011JHM1388.1
   Flohr P, 2017, GEOPHYS RES LETT, V44, P1528, DOI 10.1002/2016GL071786
   Flückiger J, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001417
   Frahm E, 2013, J ARCHAEOL SCI, V40, P1866, DOI 10.1016/j.jas.2012.11.026
   Giesche A, 2019, CLIM PAST, V15, P73, DOI 10.5194/cp-15-73-2019
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   HALFMAN J D, 1992, Journal of Paleolimnology, V7, P23
   Hill D.J., 2019, SOCIOENVIRONMENTAL D, P247
   Johns TC, 2003, CLIM DYNAM, V20, P583, DOI 10.1007/s00382-002-0296-y
   Johns TC, 1997, CLIM DYNAM, V13, P103, DOI 10.1007/s003820050155
   Kalayci T, 2016, SCI TECHNOL ARCHAEOL, V2, P217, DOI 10.1080/20548923.2016.1247512
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Krakauer NY, 2010, HYDROL EARTH SYST SC, V14, P505, DOI 10.5194/hess-14-505-2010
   Krom MD, 2002, GEOLOGY, V30, P71, DOI 10.1130/0091-7613(2002)030<0071:NRSFOT>2.0.CO;2
   Laskar J, 2004, ASTRON ASTROPHYS, V428, P261, DOI 10.1051/0004-6361:20041335
   Lawrence D., 2016, PLOS ONE, V11
   Lemcke G, 1997, NATO ASI SER SER I, V49, P653
   Li JC, 2017, QUATERN INT, V436, P129, DOI 10.1016/j.quaint.2016.11.048
   Li ZX, 2015, J GEOGR SCI, V25, P1109, DOI 10.1007/s11442-015-1222-7
   Madhura RK, 2015, CLIM DYNAM, V44, P1157, DOI 10.1007/s00382-014-2166-9
   Medina-Elizalde M, 2012, SCIENCE, V335, P956, DOI 10.1126/science.1216629
   Middleton G. D., 2019, CLIMATE CHANGES HOLO, P269
   Middleton GD, 2018, SCIENCE, V361, P1204, DOI 10.1126/science.aau8834
   Monnin E, 2004, EARTH PLANET SC LETT, V224, P45, DOI 10.1016/j.epsl.2004.05.007
   Morozova GS, 2005, GEOARCHAEOLOGY, V20, P401, DOI 10.1002/gea.20057
   Murray-Tortarolo G, 2016, GEOPHYS RES LETT, V43, P2632, DOI 10.1002/2016GL068240
   Nicoll K, 2010, INT GEOL REV, V52, P404, DOI 10.1080/00206810902951072
   Petrie CA, 2017, CURR ANTHROPOL, V58, P1, DOI 10.1086/690112
   Pope VD, 2000, CLIM DYNAM, V16, P123, DOI 10.1007/s003820050009
   Prasad S, 2014, EARTH PLANET SC LETT, V391, P171, DOI 10.1016/j.epsl.2014.01.043
   Riehl S, 2012, J ARID ENVIRON, V86, P113, DOI 10.1016/j.jaridenv.2011.09.014
   Riehl S, 2012, GEOPHYS MONOGR SER, V198, P115, DOI 10.1029/2012GM001221
   Riehl S, 2009, QUATERN INT, V209, P154, DOI 10.1016/j.quaint.2008.06.012
   Riehl S, 2008, VEG HIST ARCHAEOBOT, V17, pS43, DOI 10.1007/s00334-008-0156-8
   Riehl Simone., 2007, Societes Humaines et Changement Climatique a la fin du troisieme millenaire: une crise a-t-elle eu lieu en Haute Mesopotamie?, P523
   Roxburgh SH, 2005, FUNCT ECOL, V19, P378, DOI 10.1111/j.1365-2435.2005.00983.x
   Schneider U, 2016, P INT ASS HYDROL SCI, V374, P29, DOI 10.5194/piahs-374-29-2016
   Schwartz G.M., 2017, LATE 3 MILLENNIUM AN, P87
   Schwartz G.M., 2007, SOCI T S HUMAINES CH, P45
   Shao XH, 2006, CHINESE SCI BULL, V51, P221, DOI 10.1007/s11434-005-0882-6
   Staubwasser M, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016822
   Staubwasser M, 2006, QUATERNARY RES, V66, P372, DOI 10.1016/j.yqres.2006.09.001
   Stott PA, 2000, SCIENCE, V290, P2133, DOI 10.1126/science.290.5499.2133
   Styring AK, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.76
   Szczgsny T. J., 2016, OPEN J ECOL, V6
   Underhill AP, 2008, J ANTHROPOL ARCHAEOL, V27, P1, DOI 10.1016/j.jaa.2006.11.002
   Ur JA, 2010, J ARCHAEOL RES, V18, P387, DOI 10.1007/s10814-010-9041-y
   Walker MJC, 2012, J QUATERNARY SCI, V27, P649, DOI 10.1002/jqs.2565
   Weiss H., 2017, Megadrought and Collapse: From Early Agriculture to Angkor
   Welc F, 2014, QUATERN INT, V324, P124, DOI 10.1016/j.quaint.2013.07.035
   Wilkinson TJ, 2007, AM ANTHROPOL, V109, P52, DOI 10.1525/AA.2007.109.1.52
   Wilkinson TJ, 2014, J WORLD PREHIST, V27, P43, DOI 10.1007/s10963-014-9072-2
   WILKINSON TJ, 1994, CURR ANTHROPOL, V35, P483, DOI 10.1086/204314
   WINSTANLEY D, 1973, NATURE, V244, P464
   Wossink A., 2009, CHALLENGING CLIMATE
   Xu H, 2002, CHINESE SCI BULL, V47, P1578, DOI 10.1360/02tb9347
NR 71
TC 33
Z9 35
U1 3
U2 39
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0305-4403
EI 1095-9238
J9 J ARCHAEOL SCI
JI J. Archaeol. Sci.
PD JUN
PY 2019
VL 106
BP 1
EP 9
DI 10.1016/j.jas.2019.03.009
PG 9
WC Anthropology; Archaeology; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Anthropology; Archaeology; Geology
GA HZ9EL
UT WOS:000469158500001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Li, Y
   Xie, ZX
   Qin, YC
   Xia, HM
   Zheng, ZC
   Zhang, LJ
   Pan, ZW
   Liu, ZZ
AF Li, Yang
   Xie, Zhixiang
   Qin, Yaochen
   Xia, Haoming
   Zheng, Zhicheng
   Zhang, Lijun
   Pan, Ziwu
   Liu, Zhenzhen
TI Drought Under Global Warming and Climate Change: An Empirical Study of
   the Loess Plateau
SO SUSTAINABILITY
LA English
DT Article
DE drought; standardized precipitation evapotranspiration index;
   Mann-Kendall; Hurst index; persistence; the Loess Plateau
ID YELLOW-RIVER BASIN; CHINA; DRY
AB The Loess Plateau is located at the transition zone between agriculture and livestock farming; its spatial and temporal pattern of drought is the key for an appropriate adaptation to climate change. This study investigated monthly meteorological observation data of 79 meteorological stations from 1955 to 2014 to calculate the standardized precipitation evapotranspiration index at different time scales. The spatial and temporal characteristics and persistence of drought were analyzed. The results showed the following: (i) The drought trend is most apparent in spring (0.096/10a) and lower in summer (0.036/10a) and autumn (0.009/10a). (ii) A higher drought level indicates a lower frequency of droughts occurrence and vice versa. The frequency of light drought was highest (11.36%), while that of extreme drought was lowest (0.12%). (iii) The mean drought intensity was highest in summer, followed by spring, autumn, and winter. The drought intensity was mainly light, showing a pattern of severe drought in the northwest and light drought in the southeast. (iv) The Loess Plateau will continue a trend of drought in the future, but the season of the continuous intensity will differ. Droughts in spring and summer are highly persistent, autumn drought trends continue but may slow, and winter droughts become random events.
C1 [Li, Yang; Xie, Zhixiang; Qin, Yaochen; Xia, Haoming; Zheng, Zhicheng; Zhang, Lijun; Pan, Ziwu; Liu, Zhenzhen] Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China.
   [Qin, Yaochen] Henan Collaborat Innovat Ctr Urban Rural Coordina, Zhengzhou 450046, Henan, Peoples R China.
C3 Henan University
RP Qin, YC (corresponding author), Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China.; Qin, YC (corresponding author), Henan Collaborat Innovat Ctr Urban Rural Coordina, Zhengzhou 450046, Henan, Peoples R China.
EM liyanghenu@163.com; zhixiang1108@163.com; qinyc@henu.edu.cn;
   xiahm2002@163.com; chengzheng691@gmail.com; zlj7happy@163.com;
   wugemicheal@163.com; liuzhenzhengis@foxmail.com
RI Li, Yang/R-9258-2019; chen, cheng/JVZ-5931-2024
OI Zheng, Zhicheng/0009-0008-9126-8366; Li, Yang/0000-0002-8923-6364;
   zheng, zhicheng/0000-0002-9235-9074
FU National Natural Science Foundation of China [41671536, 41501588];
   International Cooperation Laboratory of Geospatial Technology for Henan
   province [152102410024]
FX This research was supported and funded by the National Natural Science
   Foundation of China (No.41671536; No.41501588), and the International
   Cooperation Laboratory of Geospatial Technology for Henan province
   (No.152102410024).
CR [Anonymous], 2014, CLIMATE CHANGE 2013
   [Anonymous], METEOROLOGY J HENAN
   Chen HP, 2017, J HYDROL, V544, P306, DOI 10.1016/j.jhydrol.2016.11.044
   Dubrovsky M, 2009, THEOR APPL CLIMATOL, V96, P155, DOI 10.1007/s00704-008-0020-x
   Fu Congbin, 2008, Chinese Journal of Atmospheric Sciences, V32, P752
   Hu Q, 2015, APPL GEOGR, V60, P254, DOI 10.1016/j.apgeog.2014.10.009
   Huang SZ, 2015, J HYDROL, V530, P127, DOI 10.1016/j.jhydrol.2015.09.042
   Huang WanHua Huang WanHua, 2010, Transactions of the Chinese Society of Agricultural Engineering, V26, P50
   HURST HE, 1951, T AM SOC CIV ENG, V116, P770
   Kleist J, 1993, AM METEOROL SOC, P174
   [刘宇峰 Liu Yufeng], 2017, [地理研究, Geographical Research], V36, P345
   López-Moreno JI, 2013, J HYDROL, V477, P175, DOI 10.1016/j.jhydrol.2012.11.028
   [马琼 Ma Qiong], 2014, [资源科学, Resources Science], V36, P1834
   Ma ZG, 2006, CHINESE SCI BULL, V51, P2913, DOI 10.1007/s11434-006-2159-0
   Palmer W.C, 1965, METEOROLOGICAL DROUG, P45
   Peng G.H., 2011, YELLOW RIVER, V33, P3, DOI [DOI 10.3969/J.ISSN.1000-1379.2011.06.002, 10.3969/j.issn.1000-1379.2011.06.002]
   Ray R, 2016, CHAOS SOLITON FRACT, V84, P9, DOI 10.1016/j.chaos.2015.12.016
   [任婧宇 Ren Jingyu], 2018, [自然资源学报, Journal of Natural Resources], V33, P621
   She DX, 2013, STOCH ENV RES RISK A, V27, P29, DOI 10.1007/s00477-011-0553-x
   [孙智辉 Sun Zhihui], 2013, [中国沙漠, Journal of Desert Research], V33, P1560
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang F, 2018, SCI CHINA EARTH SCI, V61, P1098, DOI 10.1007/s11430-017-9198-2
   Wang LY, 2016, SCI REP-UK, V6, DOI 10.1038/srep30571
   [王麒翔 Wang Qixiang], 2011, [生态学报, Acta Ecologica Sinica], V31, P5512
   [王晓峰 Wang Xiaofeng], 2016, [生态环境学报, Ecology and Environmental Sciences], V25, P415
   Wang YiRong Wang YiRong, 2008, Arid Land Geography, V31, P38
   [徐建文 Xu Jianwen], 2014, [生态学报, Acta Ecologica Sinica], V34, P460
   Ya YB, 2013, J ARID LAND, V5, P15, DOI 10.1007/s40333-013-0137-3
   Yao G.Z., 2010, CHINA EMERG MANAG, P43
   [姚玉璧 YAO Yubi], 2015, [高原气象, Plateau Meteorology], V34, P30
   [姚玉璧 Yao Yubi], 2014, [资源科学, Resources Science], V36, P1029
   Zhang BQ, 2015, J GEOPHYS RES-ATMOS, V120, DOI 10.1002/2015JD023772
   Zhang Bin, 2014, Chinese Journal of Plant Ecology, V38, P1008, DOI 10.3724/SP.J.1258.2014.00095
   [张健 Zhang Jian], 2013, [地理研究, Geographical Research], V32, P1579
   [张强 Zhang Qiang], 2011, [地球科学进展, Advance in Earth Sciences], V26, P763
   Zhang Tiao-feng, 2012, Shengtaixue Zazhi, V31, P2066
   [张玉静 Zhang Yujing], 2015, [生态学报, Acta Ecologica Sinica], V35, P7097
   [赵安周 Zhao Anzhou], 2016, [地理研究, Geographical Research], V35, P639
   Zhao HY, 2017, PHYS CHEM EARTH, V102, P48, DOI 10.1016/j.pce.2015.10.022
NR 39
TC 19
Z9 23
U1 2
U2 58
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR 1
PY 2019
VL 11
IS 5
AR 1281
DI 10.3390/su11051281
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HQ8GA
UT WOS:000462661000065
OA Green Published, gold
DA 2025-01-10
ER

PT S
AU Milovanovic, J
   Sijacic-Nikolic, M
   Nonic, M
AF Milovanovic, Jelena
   Sijacic-Nikolic, Mirjana
   Nonic, Marina
BE SijacicNikolic, M
   Milovanovic, J
   Nonic, M
TI Climate Change Aspects in Forest Genetic Resources Conservation in
   Serbia
SO FORESTS OF SOUTHEAST EUROPE UNDER A CHANGING CLIMATE: CONSERVATION OF
   GENETIC RESOURCES
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Adaptation; Mitigation; Conservation challenges; National priorities
ID PLASTICITY
AB Serbia's current adaptive capacity to climate change is fairly modest. However, with the beginning of the process of Serbia's accession to the European Union, the capacities for strategic consideration of climate change issues began to strengthen. Activities are focused primarily on the processes necessary to reduce the causes of climate change (mitigation), and the consideration of adaptation is still neglected. Forest ecosystems play an important role in the global carbon cycle since they have a large potential for carbon sequestration within forest biomass and forest soils. However, conservation of forest genetic resources has not been recognized as a separate significant mechanism for adaptation to climate change within the national policy framework. Conservationists will face numerous challenges in their attempts to adapt conservation activities to climate change trends. According to the estimated speed of climate change, spontaneous natural selection will play a less important role than phenotypic plasticity. Plasticity will be the most desirable feature in the conservation of natural populations and artificial regeneration. An interesting example of the "carryover effect" from the territory of Serbia is the hypothesis of the phenotype groups formation of Serbian spruce and the high degree of intra-specific variability of this relict and endemic species. National conservation priorities, based on elaborated challenges and adaptive mechanisms of trees, are defined and elaborated through concrete measures and activities.
C1 [Milovanovic, Jelena] Singidunum Univ, Fac Appl Ecol FUTURA, Belgrade, Serbia.
   [Sijacic-Nikolic, Mirjana; Nonic, Marina] Univ Belgrade, Fac Forestry, Belgrade, Serbia.
C3 University of Belgrade
RP Milovanovic, J (corresponding author), Singidunum Univ, Fac Appl Ecol FUTURA, Belgrade, Serbia.
EM jelena.milovanovic@futura.edu.rs; mirjana.sijacic-nikolic@sfb.bg.ac.rs;
   marina.nonic@sfb.bg.ac.rs
RI Šijačić-Nikolić, Mirjana/IWD-7454-2023; Milovanović,
   Jelena/ABC-9772-2020; Nonic, Marina/AAN-2383-2021
OI Milovanovic, Jelena/0000-0001-5310-5779; Nonic,
   Marina/0000-0003-4894-1371
FU Ministry of Education, Science and Technological Development of the
   Republic of Serbia [TR31078, TR31041]
FX Authors acknowledge the Ministry of Education, Science and Technological
   Development of the Republic of Serbia for support through following
   projects: TR31078 and TR31041.
CR Ahuja MR, 2011, PLANT GENET RESOUR-C, V9, P411, DOI 10.1017/S1479262111000153
   [Anonymous], 2005, CONSERVATION MANAGEM
   Chiras D., 1991, Environmental Science - Action for a Sustainable Future
   Eriksson G., 2005, Conservation and Management of Forest Genetic Resources in Europe, P199
   Gilmour J. S. L., 1939, NATURE, P144
   Isajev V., 1987, THESIS FACULTY FORES
   Jablonka E, 1995, PHILOS T R SOC B, V350, P133, DOI 10.1098/rstb.1995.0147
   Koskela J., 2007, Information Report - Atlantic Forestry Centre, Canadian Forest Service, P23
   LEDIG FT, 1988, BIOSCIENCE, V38, P471, DOI 10.2307/1310951
   Loo J., 2011, COMMISSION GENETIC R
   MAEP (Ministry of Agriculture and Environmental Protection), 2016, 1 BIENN UPD REP FBUR, P93
   Matyas C., 2006, FOREST GENETICS ITS, P1
   Milovanovic J., 2015, CONSERVATION ENHANCE, P322
   Milovanovic J., 2008, III International Symposium of Ecological of the Republic of Montenegro, Bijela-Herceg Novi, P81
   MILOVANOVIC J, 2012, SUMARSTVO, P111
   Milovanovic J., 2007, THESIS FACULTY FORES
   Milovanovic J., 2009, 5 BALK BOT C 7 11 SE, P62
   Milovanovic J., 2006, INT SCI C OCC 60 YEA, P142
   Milovanovic J., 2007, B FACULTY FORESTRY, V95, P119
   Milovanovic J, 2017, SUST PLANT CROP PRO, P265, DOI 10.1007/978-3-319-63336-7_16
   NAMKOONG G, 1984, AAAS SELECTED S, V87, P79
   Orlovic S., 2014, DRAFT 2 REPORT REPUB
   Sijacic-Nikolic M., 2010, CONSERVATION SUSTAIN
   Sijacic-Nikolic M., 2014, Biotechnology and Biodiversity, P103, DOI [DOI 10.1007/978-3-319-09381-97, 10.1007/ 978-3-319-09381-9_7]
   Sijacic-Nikolic M., 2009, INT J BIODIVERSITY C, V1
   St Clair JB, 2011, TURK J BOT, V35, P403, DOI 10.3906/bot-1012-98
   Stojanovic D., 2015, SUMARSTVO, V3, P89
   Stojanovic D., 2014, DRAFT 2 REPORT REPUB
   Stojanovic DB, 2015, EUR J FOREST RES, V134, P555, DOI 10.1007/s10342-015-0871-5
   Stojanovic DB, 2014, SEEFOR-SOUTH-EAST EU, V5, P117, DOI 10.15177/seefor.14-16
   Stojanovic DB, 2013, AGR FOREST METEOROL, V176, P94, DOI 10.1016/j.agrformet.2013.03.009
   Stojnic S, 2015, EUR J FOREST RES, V134, P1109, DOI 10.1007/s10342-015-0914-y
   Stojnic S, 2015, DENDROBIOLOGY, V73, P163, DOI 10.12657/denbio.073.017
   Stojnic S, 2013, IAWA J, V34, P475, DOI 10.1163/22941932-00000038
   Tucovic A., 1988, ESTABLISHMENT PROJEC
NR 35
TC 0
Z9 0
U1 0
U2 1
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1574-0919
BN 978-3-319-95267-3; 978-3-319-95266-6
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2019
VL 65
BP 319
EP 332
DI 10.1007/978-3-319-95267-3_28
D2 10.1007/978-3-319-95267-3
PG 14
WC Biodiversity Conservation; Forestry; Genetics & Heredity
WE Book Citation Index – Science (BKCI-S)
SC Biodiversity & Conservation; Forestry; Genetics & Heredity
GA BQ0QY
UT WOS:000573456400030
DA 2025-01-10
ER

PT J
AU Boonstra, WJ
   Hanh, TTH
AF Boonstra, Wiebren J.
   Tong Thi Hai Hanh
TI Adaptation to climate change as social-ecological trap: a case study of
   fishing and aquaculture in the Tam Giang Lagoon, Vietnam
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
ID EVOLUTIONARY; SPANDRELS; LIMITS; TERM
AB The ways in which people respond to climate change are frequently analyzed and explained with the term "adaptation." Conventionally, adaptation is understood as adjustments in behavior either to mitigate harm or to exploit opportunities emerging from climate change. The idea features prominently in scientific analyses as well as in policy programs. Despite its growing popularity over the years, the concept has also received critique. Social scientists in particular take issue with the implicit assumptions about human behavior and "fitness advantages" (or optimal behavior) that come with the term. Clearly, not all human and animal behavioral responses are "optimal" or display "fitness advantages." To the contrary, sub-optimal and maladaptive behavior is rather widespread. Explaining the possibility of maladaptive or sub-optimal behavior led scholars to introduce the idea of "traps." Trap situations refer to a mismatch between behavior and the social and/or ecological conditions in which this behavior takes place. This paper reviews the analytical value of traps for the study of human responses to climate change. It first lays out the theoretical assumptions underpinning the concept. A case study of the Tam Giang Lagoon, in central Vietnam, is used to evaluate how well the trap concept captures the sub-optimality and variety of human responses to climate change.
C1 [Boonstra, Wiebren J.] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
   [Tong Thi Hai Hanh] Uppsala Univ, Dept Earth Sci, Program Air Water & Landscape Sci, Uppsala, Sweden.
C3 Stockholm University; Uppsala University
RP Boonstra, WJ (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, POB 1096, S-10691 Stockholm, Sweden.
EM wiebrenboonstra@su.se
RI Boonstra, Wiebren Johannes/H-9447-2019
OI Boonstra, Wiebren Johannes/0000-0002-1191-0574
FU Swedish Development Agency (SIDA); Swedish Research Council FORMAS
   [2013-1293, 2009-252]; Mistra (the Swedish Foundation for Strategic
   Environmental Research)
FX We would like to thank Sofie Joosse, Andrew Merrie, and Marc Metian for
   their valuable comments on earlier versions of this paper. Thanks also
   to Hoang The Nhiem for the permission to use his photograph, and to
   Derek Armitage and co-authors for allowing a reprint of the map of the
   lagoon. This paper is using empirical material from Tong Thi Hai Hanh's
   MSc thesis that she completed within the RDViet MSc program. This study
   program was jointly organized by the Swedish University for Agricultural
   Sciences and the Hue University of Agriculture and Forestry, and
   financially sponsored by the Swedish Development Agency (SIDA). Wiebren
   Boonstra is supported by the Swedish Research Council FORMAS through a
   Young Research Leaders Grant 2013-1293 and project grant 2009-252. This
   research is also supported by Mistra (the Swedish Foundation for
   Strategic Environmental Research), through a core grant to the Stockholm
   Resilience Centre at Stockholm University.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   An V. L., 2007, CLIMATE CHANGE EFFEC
   [Anonymous], 530 FAO
   [Anonymous], 1976, Agricultural involution: the process of ecological change in Indonesia
   Armitage D, 2013, ENVIRON SCI POLICY, V27, P184, DOI 10.1016/j.envsci.2012.12.015
   Armitage D, 2011, MAR POLICY, V35, P703, DOI 10.1016/j.marpol.2011.02.011
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beckman M, 2011, CLIM DEV, V3, P32, DOI 10.3763/cdev.2010.0065
   Belton B, 2011, DEV POLICY REV, V29, P459, DOI 10.1111/j.1467-7679.2011.00542.x
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Boonstra W. J., 2012, Journal of Natural Resources Policy Research, V4, P1, DOI 10.1080/19390459.2012.642634
   Boonstra WJ, 2014, MARIT STUD, V13, DOI 10.1186/s40152-014-0015-4
   Boonstra WJ, 2014, AMBIO, V43, P260, DOI 10.1007/s13280-013-0419-1
   Bostock J, 2010, PHILOS T R SOC B, V365, P2897, DOI 10.1098/rstb.2010.0170
   Bush Simon R., 2009, Aquaculture Economics and Management, V13, P271, DOI 10.1080/13657300903351594
   Carpenter SR, 2008, ECOL SOC, V13
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Foster JB, 2012, AM J SOCIOL, V117, P1625, DOI 10.1086/664617
   GOULD SJ, 1979, PROC R SOC SER B-BIO, V205, P581, DOI 10.1098/rspb.1979.0086
   GOULD SJ, 1982, PALEOBIOLOGY, V8, P4, DOI 10.1017/S0094837300004310
   Gould SJ, 1997, P NATL ACAD SCI USA, V94, P10750, DOI 10.1073/pnas.94.20.10750
   Ha T. T. P., 2013, MAR POLICY, V38, P417, DOI [DOI 10.1016/J.MARP0L.2012.06.021, DOI 10.3133/OFR20071133]
   Hodgson G.M., 2010, Darwin's Conjecture: The Search for General Principles of Social and Economic Evolution
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kafka Franz., 1946, The Great Wall of China
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Lebel L, 2011, REG ENVIRON CHANGE, V11, P45, DOI 10.1007/s10113-010-0118-4
   Mace R, 2011, PHILOS T R SOC B, V366, P402, DOI 10.1098/rstb.2010.0238
   MARD, 2008, IMP CLIM CHANG AGR R
   Mullainathan S, 2013, SCARCITY WHY HAVING
   Nhung Cao Thi Hong, 2008, THESIS HUE U AGR FOR
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Odling-Smee J., 2003, Niche construction: the neglected process in evolution
   Orlove B, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P131
   Phap Ton That, 2002, SUSTAINABLE DEV AQUA
   PLATT J, 1973, AM PSYCHOL, V28, P641, DOI 10.1037/h0035723
   Roth G., 1978, MAX WEBER EC SOC OUT
   Rothstein Bo., 2005, Social traps and the problem of trust
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Scheffer M., 2007, ECOLOGY SOC, V12, P6
   Schlaepfer MA, 2002, TRENDS ECOL EVOL, V17, P474, DOI 10.1016/S0169-5347(02)02580-6
   Sekercioglu CH, 2007, CONSERV BIOL, V21, P482, DOI 10.1111/j.1523-1739.2007.00655.x
   Sovacool BK, 2013, NAT CLIM CHANGE, V3, P959, DOI 10.1038/nclimate2037
   Thomsen DC, 2012, ECOL SOC, V17, DOI 10.5751/ES-04953-170320
   Truong VT, 2010, OCEAN COAST MANAGE, V53, P327, DOI 10.1016/j.ocecoaman.2010.04.001
   Truyen Nguyen Ngoc, 2004, AGR METEOROLOGY SYLL
NR 49
TC 24
Z9 28
U1 0
U2 32
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD DEC
PY 2015
VL 17
IS 6
BP 1527
EP 1544
DI 10.1007/s10668-014-9612-z
PG 18
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 CU1FB
UT WOS:000363264300016
DA 2025-01-10
ER

PT J
AU Kietäväinen, A
   Tuulentie, S
AF Kietavainen, Asta
   Tuulentie, Seija
TI Tourism strategies and climate change: rhetoric at both strategic and
   grassroots levels about growth and sustainable development in Finland
SO JOURNAL OF SUSTAINABLE TOURISM
LA English
DT Article
DE climate change; tourism; tourism strategies; tourism actors; rhetorical
   analysis; worlds of justification
AB This paper explores how global issues such as climate change are taken into account in tourism strategy texts and contrasts these findings with how the issue is seen at the grassroots level by local businesses. We analyse how both levels approach adaptation to climate change. Using Boltanski and Thevenot's six common "worlds" of justification model for debates on public issues, we analyse the rhetoric of national, regional, and local tourism strategies in Finland and then explore how the rhetoric is employed by interviewing 42 local tourism actors. The strategy analysis shows that strategic documents do not simply describe situations but are active in creating and shaping future development, and how different kinds of "orders of worth" are used, to establish acceptable "universal truths" to shape through consensus how tourism actors think about the sector's future. Results show that at a strategic level, climate change issues are dealt with in an abstract manner, concentrating on the viewpoints of markets and industry, while ecological justification is lacking, and lacks urgency. Operational instructions are not provided for the entrepreneurs. The actors' interviews show that structural changes in the sector are demanded but both tourism growth and nature's survival are taken for granted.
C1 [Kietavainen, Asta] Univ Lapland, Fac Social Sci, Rovaniemi, Finland.
   [Tuulentie, Seija] Finnish Forest Res Inst, Northern Reg Unit, Rovaniemi, Finland.
C3 University of Lapland; Natural Resources Institute Finland (Luke)
RP Kietäväinen, A (corresponding author), Univ Lapland, Fac Social Sci, Rovaniemi, Finland.
EM asta.kietavainen@ulapland.fi
RI Tuulentie, Seija/H-8901-2018
CR Adejuwon J, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P75
   Agnew M.D., 2001, TOUR HOSP RES, V3, P37, DOI DOI 10.1177/146735840100300104
   [Anonymous], TOURISM CLIMATE CHAN
   Atkinson P., 2004, QUALITATIVE RES THEO, V2nd, P56, DOI DOI 10.4135/9781446282243.N25
   Becken S, 2007, CLIM CHANG ECON SOC, P1
   Boltanski L., 1999, European Journal of Social Theory, V2, P359, DOI [10.1177/136843199002003010, DOI 10.1177/136843199002003010]
   Boltanski L, 2006, On Justification: Economies of Worth
   Boltanski Luc., 1991, JUSTIFICATION
   Carter TimothyR., 2007, Assessing the Adaptive Capacity of the Finnish Environment and Society under a Changing Climate
   Dwyer L, 2010, J SUSTAIN TOUR, V18, P355, DOI 10.1080/09669580903513061
   Elsasser H, 2002, CLIMATE RES, V20, P253, DOI 10.3354/cr020253
   Finland's Tourism Strategy (FTS), 2006, KTM JULK, V21/2006
   Gill A, 2000, ENVIRON PLANN A, V32, P1083, DOI 10.1068/a32160
   Hakkarainen M., 2005, YLLAKSEN JA LEVIN KO
   Jarviluoma J., 2009, ILMASTONMUUTOKSEN EN, V52, P5
   Kietavainen A., 2011, WORKING PAPERS FINNI
   King B., 2009, SAGE HDB TOURISM STU, P416, DOI [http://doi.org/10.4135/9780857021076.n23, DOI 10.4135/9780857021076.N23]
   LAFAYE C, 1993, REV FR SOCIOL, V34, P495, DOI 10.2307/3321928
   Lapland Tourism Strategy (LTS).: Regional Council of Lapland, 2011, LAPP EL MATK 2011 20
   Lappi, 2008, LAPP EL LAP MATK 200
   Lappi Elakoon, 2005, LAPIN MAAKUNTASUUNNI
   Levi, 2010, LEV LAPL FINL BIGG S
   Levi 3 Tourist Resort Strategy (LTRS), 2004, LEV 3 KEH KEH LOPP
   Luhtakallio E., 2011, SOSIOL, V48, P34
   Maria H, 2008, FENNIA, V186, P3
   Page S.J., 2007, Tourism management: Managing for change
   Park M, 2009, TOURISM MANAGE, V30, P905, DOI 10.1016/j.tourman.2008.11.015
   Perelman C., 1982, The Realm of Rhetoric, Patent No. [1806.0005, 18060005]
   Regional Council of Lapland, 2007, TYOP AL TYOSS LAP 19
   Regional Council of Lapland, 2011, TOUR FACTS LAPL STAT
   Regional Council of Lapland, 2011, LAPL FIG 2010 2011
   Regional Council of Lapland, 2007, ABSTR LAPL TOUR STRA
   Rovaniemi Tourism Strategy (RTS), 2006, ROV LAP SYKK SYD MAT
   Scott D, 2003, CLIM RES, V23, P171, DOI 10.3354/cr023171
   Scott D, 2010, J SUSTAIN TOUR, V19, P17, DOI 10.1080/09669582.2010.539694
   Scott N, 2009, J HOSP MARKET MANAG, V18, P99, DOI 10.1080/19368620802590126
   Seitola S., 2009, ARVIOITA SUOMEN MUUT, V4, P102
   [Solomon S. IPCC. IPCC.], 2007, Intergovernmental Panel on Climate Change, V4, P213
   Sorsa V., 2010, HANKEN SCH EC RES RE
   Suopajärvi L, 2007, U LAP A C R, V50, P100
   Tekes, 2010, LEV JA YLL MATK VAIK
   Tervo K, 2008, SCAND J HOSP TOUR, V8, P317, DOI 10.1080/15022250802553696
   Thevenot L., 2002, INTERSUBJECTIVITY EC, P181
   Thevenot L., 2011, Sosiologia, V48, P7
   Tuulentie Seija., 2003, INDIGENOUS PEOPLES R, P275
   Tuulentie S, 2007, U LAP A C R, V50, P75
   Varley P, 2011, TOURISM MANAGE, V32, P902, DOI 10.1016/j.tourman.2010.08.005
   Visit Rovaniemi, 2010, ROV OFF HOM SANT CLA
   Weaver D, 2010, J SUSTAIN TOUR, V19, P5, DOI 10.1080/09669582.2010.536242
   Whittington R, 2003, J MANAGE INQUIRY, V12, P396, DOI 10.1177/1056492603258968
   Yllas, 2010, YLL INF WWW PAG YLL
   Yllas II Tourist Resort Strategy (YTRS), 2007, KEH VUOT 2020 LUONN
   ,, 2008, Climate change adaptation and mitigation in the tourism sector: frameworks, tools and practices
NR 53
TC 16
Z9 18
U1 0
U2 13
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0966-9582
EI 1747-7646
J9 J SUSTAIN TOUR
JI J. Sustain. Tour.
PY 2013
VL 21
IS 6
BP 845
EP 861
DI 10.1080/09669582.2012.750326
PG 17
WC Green & Sustainable Science & Technology; Hospitality, Leisure, Sport &
   Tourism
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Social Sciences - Other Topics
GA 187ZS
UT WOS:000322161400004
DA 2025-01-10
ER

PT J
AU Elrick-Barr, CE
   Thomsen, DC
   Preston, BL
   Smith, TF
AF Elrick-Barr, Carmen E.
   Thomsen, Dana C.
   Preston, Benjamin L.
   Smith, Timothy F.
TI Perceptions matter: household adaptive capacity and capability in two
   Australian coastal communities
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change adaptation; Risk perception; Self-efficacy; Environmental
   hazard; Management; Resilience
ID CLIMATE-CHANGE; RISK; ADAPTATION; RESILIENCE; PROTECTION; BEHAVIOR;
   VIEWS
AB This paper presents empirical data on household perceptions of capability to adapt to climate hazards and associated capacity needs. Households play an important role in responding to the impact of a changing climate by creating a functional link between individual and community responses to change. However, household perspectives on their capacity needs are rarely sought in programs seeking to provide incentives for household action-despite the influence of normative values and perceptions on household action. Rather, interventions are often informed by quantitative measures of adaptive capacity, such as access to financial or social capital. An alternative approach involves analysis of social narratives of capability that reflect normative perceptions of climate risk and capacity needs. Implementation of this approach reveals that a significant number of households in vulnerable locations consider existing capacities sufficient to manage familiar climate hazards, regardless of socio-economic circumstance. Our comparative study of two Australian coastal communities also suggests that a dominant narrative of capability to manage climate hazards reduces the likelihood of household investments in adaptive actions. While socio-political influences on narratives are often deeply embedded and difficult to change in the short term, identifying perceived risk and response capacity is pivotal in determining the likely utility of adaptive capacity stocks as measured through quantitative means.
C1 [Elrick-Barr, Carmen E.; Thomsen, Dana C.; Smith, Timothy F.] Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4556, Australia.
   [Preston, Benjamin L.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA.
C3 University of the Sunshine Coast; United States Department of Energy
   (DOE); Oak Ridge National Laboratory
RP Elrick-Barr, CE (corresponding author), Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4556, Australia.
EM celrick@usc.edu.au; dthomsen@usc.edu.au; prestonbl@ornl.gov;
   Tsmith5@usc.edu.au
RI Elrick-Barr, Carmen/Q-9861-2019; Preston, Benjamin/B-9001-2012
OI Thomsen, Dana C/0000-0002-5913-3225; Preston,
   Benjamin/0000-0002-7966-2386; Smith, Timothy/0000-0002-3991-5211;
   Elrick-Barr, Carmen/0000-0001-6868-1373
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Allen M., 2013, Senshu Social Capital Review, V4, P45
   [Anonymous], 2015, APPL STUDIES CLIMATE
   [Anonymous], 2013, PUBLIC UNDERSTANDING
   [Anonymous], AD CLIM CHANG AUSTR
   [Anonymous], 2006, INTERPRETIVE RES DES
   [Anonymous], 2013, WHAT ME FACTORS AFFE
   [Anonymous], REG ENVIRON CHANGE
   [Anonymous], CLIM CHANG RISKS AUS
   Arthurson K, 2015, LOCAL ENVIRON, V20, P1, DOI 10.1080/13549839.2013.818951
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   Baum S., 2008, Suburban scars: Australian cities and socio-economic deprivation
   Bickerstaff K, 2008, ENVIRON PLANN A, V40, P1312, DOI 10.1068/a39150
   Commonwealth of Australia, 2015, NAT CLIM RES AD STRA
   Council of Australian Governments, 2011, NAT STRAT DIS RES BU
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin H, 2016, REG ENVIRON CHANGE, V16, P801, DOI 10.1007/s10113-015-0789-y
   Elrick-Barr CE, 2015, GEOGR RES-AUST, V53, P145, DOI 10.1111/1745-5871.12106
   Elrick-Barr CE, 2014, ECOL SOC, V19, DOI 10.5751/ES-06745-190412
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Grove K, 2014, ENVIRON PLANN D, V32, P240, DOI 10.1068/d4813
   Gurran N, 2005, M SEA CHANGE CHALLEN
   Homburg A, 2006, J ENVIRON PSYCHOL, V26, P1, DOI 10.1016/j.jenvp.2006.03.003
   Kent J, 2009, COSMOP CIV SOC, V1, P132, DOI 10.5130/ccs.v1i3.1081
   Koerth J, 2013, REG ENVIRON CHANGE, V13, P897, DOI 10.1007/s10113-012-0399-x
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Lam SP, 2015, CLIM POLICY, V15, P321, DOI 10.1080/14693062.2014.916599
   Le Dang H, 2013, VIETNAM NATURAL HAZA, V71, P385, DOI [10.1007/s11069-013-0931-4, DOI 10.1007/S11069-013-0931-4]
   Leiserowitz A., 2010, CLIMATE CHANGE SCI P
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Neuwirth K, 2000, RISK ANAL, V20, P721, DOI 10.1111/0272-4332.205065
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Shaw D, 2014, GLOBAL ENVIRON CHANG, V25, P194, DOI 10.1016/j.gloenvcha.2014.01.006
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   van Zorneren M, 2010, J ENVIRON PSYCHOL, V30, P339, DOI 10.1016/j.jenvp.2010.02.006
   WILK R, 1993, RES ECON AN, V14, P191
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
NR 45
TC 22
Z9 24
U1 0
U2 26
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD APR
PY 2017
VL 17
IS 4
SI SI
BP 1141
EP 1151
DI 10.1007/s10113-016-1016-1
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ES6ZO
UT WOS:000399699500016
DA 2025-01-10
ER

PT J
AU Stollberg, M
   von Birgelen, A
AF Stollberg, Maren
   von Birgelen, Alexander
TI Living Wall Plants Are Affected by and Affect Temperature: How to (not)
   Measure Plants' Temperature in a Living Wall Experiment
SO SUSTAINABILITY
LA English
DT Article
DE plants; living wall; cooling effect; temperature; microclimate; vertical
   greenery systems; urban green infrastructure; climate change adaption;
   temperature sensor; thermal imaging
ID GREEN FACADES; THERMAL PERFORMANCE; ENERGY PERFORMANCE; HEAT LOAD;
   SYSTEMS; BEHAVIOR; ROOFS
AB Living walls (LWs) are a climate change adaptation strategy for cities, as they have a cooling effect. Previous studies of the cooling effect of LWs were carried out in different climatic zones. These studies differed in their experimental design, or simulated data via models. Plants' cooling capacity is explained by shading and transpiration, and depends on physical plant parameters, environmental factors, and system-related influences. A three-year-long trial was carried out between 2017 and 2019 at an experimental garden in Geisenheim, Germany. We chose a textile-based LW system with high water demand and plants from a wet/fresh habitat. We assumed that this would achieve high evaporative cooling. The experimental setup included four experimental walls, which were exposed to the north, south, east, and west, respectively. The plant choice was divided into three plant mix variants (Cascade, Ground cover, and Meadow) and a Control with no vegetation. We measured the temperature with sensors and a thermal imaging (IR) camera in different setups. The main results were that the measured vegetation temperature (TV) depends on air temperature (TA), measurement position, plant mix variant, and plant species. We could detect the cooling effect only at a small distance from the LW (microclimatic). Our methodological approaches should be continued in further studies.
C1 [Stollberg, Maren; von Birgelen, Alexander] Hsch Geisenheim Univ, Dept Urban Hort & Plant Use, D-65366 Geisenheim, Germany.
RP Stollberg, M (corresponding author), Hsch Geisenheim Univ, Dept Urban Hort & Plant Use, D-65366 Geisenheim, Germany.
EM maren.stollberg@hs-gm.de; alexander.birgelen@hs-gm.de
RI Stollberg, Maren/GQQ-9999-2022
OI Stollberg, Maren/0000-0001-5338-419X
CR Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   Besir AB, 2018, RENEW SUST ENERG REV, V82, P915, DOI 10.1016/j.rser.2017.09.106
   Bianco L, 2017, ENERG EFFIC, V10, P625, DOI 10.1007/s12053-016-9473-4
   Bolton C, 2014, BUILD ENVIRON, V80, P32, DOI 10.1016/j.buildenv.2014.05.020
   Brune M., 2017, GEBAUDEBEGRUNUNG KLI
   Cameron RWF, 2015, BUILD ENVIRON, V92, P111, DOI 10.1016/j.buildenv.2015.04.011
   Cameron RWF, 2014, BUILD ENVIRON, V73, P198, DOI 10.1016/j.buildenv.2013.12.005
   Chen QY, 2013, ENERG BUILDINGS, V61, P298, DOI 10.1016/j.enbuild.2013.02.030
   Cheng CY, 2010, BUILD ENVIRON, V45, P1779, DOI 10.1016/j.buildenv.2010.02.005
   Duthweiler S., 2022, STADT GR N, P25
   Edelmann H.G., 2018, BIODIVERSITAT KLIMA, P26
   Eumorfopoulo EA, 2009, BUILD ENVIRON, V44, P1024, DOI 10.1016/j.buildenv.2008.07.004
   Goel M, 2022, ENVIRON SCI POLLUT R, V29, P38715, DOI 10.1007/s11356-022-19501-7
   Gräf M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073910
   Haggag M, 2014, ENERG BUILDINGS, V82, P668, DOI 10.1016/j.enbuild.2014.07.087
   Hietel E., 2022, STADT GR N
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Koch K, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126843
   Manso M, 2015, RENEW SUST ENERG REV, V41, P863, DOI 10.1016/j.rser.2014.07.203
   Mårtensson LM, 2014, ECOL ENG, V71, P610, DOI 10.1016/j.ecoleng.2014.07.027
   Mazzali U, 2013, BUILD ENVIRON, V64, P57, DOI 10.1016/j.buildenv.2013.03.005
   Nicole P., GEBAUDE BEGRUNUNG EN
   Pérez G, 2014, RENEW SUST ENERG REV, V39, P139, DOI 10.1016/j.rser.2014.07.055
   Perini K., 2011, Open Journal of Ecology, V1, P1
   Radic M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174579
   Riley B, 2017, BUILD ENVIRON, V114, P219, DOI 10.1016/j.buildenv.2016.12.016
   Stollberg M, 2022, ACTA HORTIC, V1345, P189, DOI 10.17660/ActaHortic.2022.1345.25
   Stollberg M., 2021, STADT GR N
   Stollberg M, 2022, ECOL ENG, V185, DOI 10.1016/j.ecoleng.2022.106817
   von Birgelen A., 2023, FRONT HORTIC, V2, P1091026, DOI DOI 10.3389/FHORT.2023.1091026
   Wong NH, 2010, BUILD ENVIRON, V45, P663, DOI 10.1016/j.buildenv.2009.08.005
   Zuvela-Aloise M, 2016, CLIMATIC CHANGE, V135, P425, DOI 10.1007/s10584-016-1596-2
NR 32
TC 1
Z9 1
U1 1
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2023
VL 15
IS 15
AR 11672
DI 10.3390/su151511672
PG 39
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 O7VM9
UT WOS:001045845200001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Mwinkom, FXK
   Damnyag, L
   Abugre, S
   Alhassan, SI
AF Mwinkom, Francis X. K.
   Damnyag, Lawrence
   Abugre, Simon
   Alhassan, Suhiyini I.
TI Factors influencing climate change adaptation strategies in
   North-Western Ghana: evidence of farmers in the Black Volta Basin in
   Upper West region
SO SN APPLIED SCIENCES
LA English
DT Article
DE Adaptation strategies; Black Volta Basin; Logistic regression; Crop
   farmers; Climate change
ID CONSERVATION MEASURES; SUBSISTENCE FARMERS; ADOPTION; VULNERABILITY;
   DECISION; IMPACTS; SOIL; DIVERSIFICATION; INFORMATION; MANAGEMENT
AB The erratic rainfall patterns and decline in crop production are due to the threat of climate change. The responses of farm households to climate change play a very essential role in addressing the risk of climate change. This study investigated factors influencing adaptation strategies to climate change in the Black Volta Basin of Ghana. Survey questions were administered to 450 households sampled from eight districts using a multistage sampling technique. Out of the six adaptation strategies, four major identified adaptation strategies were subsequently used as the dependent variable in the multivariate (MV) probit and binary logit models. The results revealed that factors such as gender, age, household size, farmer-based-organizations membership, farm income, years of education, districts of location of respondents, farm size and climate change awareness-statistically and significantly-influenced households' adaptation to the changing climate. However, the positive correlation matrix from the MV probit model showed complementarities among all the adaptation strategies adopted by household heads. Priority should be given to improving household heads' adaptive capacity. Also, governmental and non-governmental organizations should invest in climate-resilient programmes. Finally, programmes aimed at sensitizing household heads on climate change adaptation strategies such as changing planting time, changing farming methods, and planting early maturing and drought-resistant varieties through pieces of trainings and workshops may be duly supported by the Government; particularly, for household heads in the Black Volta Basin.
C1 [Damnyag, Lawrence] Forestry Res Inst Ghana, CSIR, Kumasi, Ghana.
   [Mwinkom, Francis X. K.; Abugre, Simon] Univ Energy & Nat Resources, Dept Forest Sci, Sunyani, Ghana.
   [Alhassan, Suhiyini I.] Univ Dev Studies, Tamale, Ghana.
C3 University for Development Studies
RP Damnyag, L (corresponding author), Forestry Res Inst Ghana, CSIR, Kumasi, Ghana.
EM ldamnyag@yahoo.com
OI Abugre, Simon/0000-0002-5954-4374; Damnyag, Lawrence/0000-0003-0518-8113
CR Abdul-Razak M, 2017, CLIM RISK MANAG, V17, P104, DOI 10.1016/j.crm.2017.06.001
   Abungba JA, 2020, EARTH SYST ENVIRON, V4, P739, DOI 10.1007/s41748-020-00171-9
   Acquah S., 2017, Russian Journal of Agricultural and Socio-Economic Sciences, V2, P195, DOI 10.18551/rjoas.2017-02.23
   Adeola AO, 2009, CONTR PAP PREP PRES
   Adu-Boahen K., 2019, Ghana J Geograph, V11, P103
   Ahmed A, 2016, ENVIRON DEV, V20, P45, DOI 10.1016/j.envdev.2016.08.002
   Ali A, 2016, WATER PRACT TECHNOL, V11, P610, DOI 10.2166/wpt.2016.058
   Amadu IS, 2013, RES APPL EC, V5
   Anderson A., 2012, Journal of Education for Sustainable Development, V6, P191, DOI [10.1177/0973408212475199, DOI 10.1177/0973408212475199]
   Anderson S, 2010, NEW FRONT SOC POLICY, P199
   Anley Y, 2007, LAND DEGRAD DEV, V18, P289, DOI 10.1002/ldr.775
   Annor FO, 2012, DIAGNOSTIC STUDY BLA
   [Anonymous], 2014, Research in Applied Economics, DOI DOI 10.5296/RAE.V6I4.6121
   [Anonymous], 2011, J EC SUSTAIN DEV
   Antwi-Agyei P, 2012, APPL GEOGR, V32, P324, DOI 10.1016/j.apgeog.2011.06.010
   Aryal JP., 2014, GENDER DIMENSIONS CL
   Asafu-Adjaye J, 2008, J AGR RESOUR ECON, V33, P99
   Ashby Jacqueline., 2012, CCAFS GENDER STRATEG
   Assan E, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5080086
   Aynsau A, 2007, ECOL ECON, V61, P294, DOI 10.1016/j.ecolecon.2006.01.014
   Babbie E., 1992, The practice of social research, V10th
   Baethgen WE, 2003, CLIM AD NET C INS TO
   Barry S, 2005, ADAPTATION ADAPTIVE
   Bayard B, 2007, J ENVIRON MANAGE, V84, P62, DOI 10.1016/j.jenvman.2006.05.001
   Bekele W, 2003, ECOL ECON, V46, P437, DOI 10.1016/S0921-8009(03)00166-6
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Belderbos R, 2004, INT J IND ORGAN, V22, P1237, DOI 10.1016/j.ijindorg.2004.08.001
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Beyene T, 2012, **DROPPED REF**, V3
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Boyd E, 2013, NAT CLIM CHANGE, V3, P631, DOI 10.1038/NCLIMATE1856
   Brick KI, 2015, J ECON BEHAV ORGAN, V118, P383, DOI 10.1016/j.jebo.2015.02.010
   Caviglia-Harris JL, 2004, ENVIRON DEV ECON, V9, P181, DOI 10.1017/S1355770X03001165
   Dasgupta A, 2010, J INT DEV, V22, P803, DOI 10.1002/jid.1666
   Denkyirah EK, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2779-z
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dittoh S, 2015, GENDER POLICIES IMPL, V3
   Dolisca F, 2006, FOREST ECOL MANAG, V236, P324, DOI 10.1016/j.foreco.2006.09.017
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Dumenu WK., 2014, 1 NAT FOR C, P16
   Fagariba CJ, 2018, J ENV SCI MANAGE, V21
   Few R, 2010, GLOBAL ENVIRON CHANG, V20, P529, DOI 10.1016/j.gloenvcha.2010.02.004
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fisher-Vanden K, 2011, MODELING CLIMATE CHA
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gender FAO, 2017, LAND RIGHTS DAT
   Ghana Statistical Service (GSS), 2012, 2010 POP HOUS CENS 2
   Glendinning A, 2001, HUM ECOL, V29, P283, DOI 10.1023/A:1010954631611
   Gyapong AY, 2021, THIRD WORLD Q, V42, P1233, DOI 10.1080/01436597.2021.1880889
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hazell P.B.R., 1986, Mathematical Programming for Economic Analysis in Agriculture, P47
   Juana J. S., 2013, Journal of Agricultural Science (Toronto), V5, P121
   Kabeer N, 2002, IDS BULL-I DEV STUD, V33, P12
   Kabeer N., 2002, CITIZENSHIP BOUNDARI
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Korir JC., 2019, LEVEL AWARENESS CLIM
   Kurukulasuriya P., 2006, Crop selection: adapting to climate change in Africa
   Li ZY, 2020, WATER-SUI, V12, DOI 10.3390/w12123557
   Lin CTJ, 2005, FOOD QUAL PREFER, V16, P401, DOI 10.1016/j.foodqual.2004.07.001
   Liu BH, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2004JD004511
   Liu ZM, 2019, NAT CLIM CHANGE, V9, P494, DOI 10.1038/s41558-019-0519-4
   Mabe F. N., 2012, Russian Journal of Agricultural and Socio-Economic Sciences, V11, P9
   Mabe FN, 2014, DETERMINANTS CHOICE
   Maddison D, 2006, 10 CEEPA U PRET
   Milazzo A, 2017, DEMOGRAPHY, V54, P1119, DOI 10.1007/s13524-017-0561-7
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   Ndamani F., 2014, INT J AGR SCI, V5, P367
   Nhemachena C, 2007, INT FOOD POLICY RES
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nyadzi E, 2016, SUSTAIN AGR RES, V5
   Nyadzi E, 2021, CLIM DEV, V13, P551, DOI 10.1080/17565529.2020.1831429
   Nyadzi E, 2019, WEATHER CLIM SOC, V11, P127, DOI 10.1175/WCAS-D-17-0137.1
   Nyantakyi-Frimpong H, 2017, GEOFORUM, V86, P63, DOI 10.1016/j.geoforum.2017.09.003
   Nyantakyi-Frimpong H, 2015, GLOBAL ENVIRON CHANG, V32, P40, DOI 10.1016/j.gloenvcha.2015.03.003
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Offat M.I., 2015, Greener J. Educ. Res., V5, P27, DOI [DOI 10.15580/GJER.2015.2, DOI 10.15580/GJER.2015.2.012715022]
   Ojo T., 2018, DETERMINANTS ADAPTAT
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Oruonye E.D., 2011, J GEOGRAPHY REGIONAL, V4, P513
   Partey ST, 2020, CLIMATIC CHANGE, V158, P61, DOI 10.1007/s10584-018-2239-6
   Peng CYJ, 2002, J EDUC RES, V96, P3, DOI 10.1080/00220670209598786
   Ringler C, 2008, 00806138 INT FOOD PO
   Salvini G, 2016, J ENVIRON MANAGE, V172, P58, DOI 10.1016/j.jenvman.2015.11.060
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Shiferaw B, 1998, AGR ECON-BLACKWELL, V18, P233, DOI 10.1016/S0169-5150(98)00036-X
   Simtowe Franklin., 2006, The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure
   Sissoko K, 2011, REG ENVIRON CHANGE, V11, pS119, DOI 10.1007/s10113-010-0164-y
   Solomon E., 2018, CURRENT INVESTIGATIO, V5, DOI [10.32474/CIACR.2018.05.000213, DOI 10.32474/CIACR.2018.05.000213, https://doi.org/10.32474/CIACR.2018.05.000213]
   Stanturf J.A., 2011, Ghana Climate Change Vulnerability and Adaptation Assessment
   Sundström A, 2014, ENVIRON POLIT, V23, P1082, DOI 10.1080/09644016.2014.921462
   Tangonyire D.F., 2020, ECOFEMINISM CLIM CHA, V2, P50, DOI [10.1108/EFCC-04-2020-0009, DOI 10.1108/EFCC-04-2020-0009]
   Teklewold H, 2013, ECOL ECON, V93, P85, DOI 10.1016/j.ecolecon.2013.05.002
   Thinda KT., 2020, DETERMINANTS RELEVAN
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   TIWARI KT, 2014, INT J MULTIDISCIPLIN, V2, P2321
   Tizale C.Y., 2007, The dynamics of soil degradation and incentives for optimal management in the Central Highlands of Ethiopia
   Trenberth KE, 2015, NAT CLIM CHANGE, V5, P725, DOI 10.1038/NCLIMATE2657
   UNFCCC, 2007, FCCCSBSTA20077 UN
   UNFCCC, 2007, FCCCSBI20072 UN
   Velandia M., 2009, Journal of Agricultural and Applied Economics, V41, P107
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P1
   Wooldridge M, 2003, REASONING RATIONAL A, DOI [10.7551/mitpress/5804.001.0001, DOI 10.7551/MITPRESS/5804.001.0001]
   World Bank, 2010, EC AD CLIM CHANG GHA
   Young G, 2009, INSUR MATH ECON, V44, P214, DOI 10.1016/j.insmatheco.2008.11.004
   Yu L., 2008, 08026 IOW STAT U DEP
NR 110
TC 28
Z9 29
U1 2
U2 19
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2523-3963
EI 2523-3971
J9 SN APPL SCI
JI SN Appl. Sci.
PD MAY
PY 2021
VL 3
IS 5
AR 548
DI 10.1007/s42452-021-04503-w
PG 20
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA RM4DG
UT WOS:000639612200004
OA gold
DA 2025-01-10
ER

PT J
AU Kalame, FB
   Kudejira, D
   Nkem, J
AF Kalame, Fobissie Blese
   Kudejira, Denboy
   Nkem, Johnson
TI Assessing the process and options for implementing National Adaptation
   Programmes of Action (NAPA): a case study from Burkina Faso
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Burkina Faso; Climate change adaptation; Ecosystem-based adaptation;
   NAPA; Participation; Vulnerable groups
ID CLIMATE-CHANGE ADAPTATION; PARTICIPATION; IMPACT; VULNERABILITY;
   MANAGEMENT; WATER; RIVER
AB This paper discusses the challenges and opportunities associated with developing and implementing National Adaptation Programmes of Action (NAPAs) in Least Developed Countries. It uses a multiple scale approach in linking local priorities for adaptation and national priorities listed as NAPA interventions to examine the outcome of the NAPA process in Burkina Faso. The study also examines how the NAPA process considers ecosystem services and reflects the views of different social groups. The results show that participatory processes were not effectively integrated at the local level, but that broader and active participation of local communities, although important, is not always necessary. The proposed priority projects were limited to the institutional and specialized fields of the experts who conducted the NAPA process. However, these priority projects do generally reflect the priorities of the study area communities. These priorities include water resources, agricultural and livestock productivity, and forestry, and all depend directly or indirectly on ecosystem services. Factors determining the success of a NAPA are the level of funding, effectiveness of the coordination and implementation of the NAPA, and the importance decision makers give to adaptation. It is also important to focus on vulnerable groups, conduct regular reviews and improvements, and strengthen institutional collaboration. The study offers recommendations and concludes that ecosystem-based approaches to adaptation can be used to enhance the resilience of communities and ecosystems.
C1 [Kalame, Fobissie Blese] Univ Helsinki, Dept Forest Sci, Viikki Trop Resources Inst VITRI, FIN-00014 Helsinki, Finland.
   [Kudejira, Denboy] Brandeis Univ, Heller Sch Social Policy & Management, Waltham, MA 02454 USA.
   [Nkem, Johnson] United Nations Off Nairobi Gigiri, United Nations Dev Programme, Nairobi, Kenya.
C3 University of Helsinki; Brandeis University
RP Kalame, FB (corresponding author), Univ Helsinki, Dept Forest Sci, Viikki Trop Resources Inst VITRI, POB 27,Latokartanonkaari 7, FIN-00014 Helsinki, Finland.
EM fobissie.kalame@helsinki.fi; d_kudejira@hotmail.com;
   johnson.nkem@undp.org
FU European Union
FX Research for this article was supported by the Tropical Forest and
   Climate Change Adaptation project (TroFCCA) of the Center for
   International Forest Research (CIFOR) funded by the European Union. The
   content of this document is the sole responsibility of the authors and
   can under no circumstances be regarded as reflecting the position of the
   European Union or CIFOR. The authors thank all those who participated in
   the research and the anonymous reviewers for commenting on earlier
   drafts.
CR *3 WORLD NETW, 2008, DEV COUNTR DIS LDC F
   [Anonymous], 1992, UNFCCC/INFORMAL/84 GE.05-62220 (E) 200705
   [Anonymous], 2007, Adaptation to climate change in agriculture, forestry and fisheries: Perspective, framework and priorities
   [Anonymous], ECOSYSTEM APPROACH C
   Brown K., 2002, MAKING WAVES INTEGRA
   BROWN K, 2005, INTEGRATED RESPONSE
   Brown O., 2008, Assessing the security implications of climate change for West Africa? country case studies of Ghana and Burkina Faso IISD: Winnipeg
   Brown TC, 2007, NAT RESOUR J, V47, P329
   Carlos RM, 2009, RENEW ENERG, V34, P1195, DOI 10.1016/j.renene.2008.10.014
   Carpenter S.R., 2005, Ecosystems and Human Well-Being: Synthesis, P137
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   *CIFOR, 2008, TROFCCA TROP FOR CLI
   *CNEDD, 2006, NIG NAT AD PROGR ACT
   Coulibaly-Lingani P, 2009, FOREST POLICY ECON, V11, P516, DOI 10.1016/j.forpol.2009.06.002
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   Dejardin Amelita., 1996, Public Works Programmes, A Strategy for Poverty Alleviation: The Gender Dimension, Development and Technical Cooperation Depertmant
   Delire C, 2008, GLOBAL PLANET CHANGE, V64, P3, DOI 10.1016/j.gloplacha.2008.01.008
   DENTON F, 2001, CLIMATE CHANGE SUSTA
   *EM DAT, 2008, INT DIS DAT BURK FAS
   *FAO, 2008, FAO FOR COUNTR PROF
   FEW R, 2003, GLOBAL ENVIRON CHANG, V17, P281
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Freitag H, 2008, GLOBAL PLANET CHANGE, V61, P3, DOI 10.1016/j.gloplacha.2007.08.003
   Frost P, 2006, ECOL SOC, V11
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gaventa J., 2004, National Civic Review, V3, P16, DOI DOI 10.1002/NCR.67
   Genat B, 2009, ACTION RES-LONDON, V7, P101, DOI 10.1177/1476750308099600
   Giles J, 2009, NEW SCI, V201, P7, DOI 10.1016/S0262-4079(09)60124-X
   Guissou KML, 2008, ECON BOT, V62, P530, DOI 10.1007/s12231-008-9028-5
   Gupte M, 2004, HUM ECOL, V32, P365, DOI 10.1023/B:HUEC.0000028086.63366.3d
   Hardee K, 2010, MITIG ADAPT STRAT GL, V15, P113, DOI 10.1007/s11027-009-9208-3
   Harvey LDD, 2007, CLIMATIC CHANGE, V82, P1, DOI 10.1007/s10584-006-9183-6
   Hill M.J., 2002, Implementing public policy: governance in theory and practice, DOI DOI 10.5588/ijtld.12.0033
   Huq S, 2004, CLIM POLICY, V4, P25
   IIED, 2008, AD CLIM CHANG AFR ST
   Lamien N, 2006, ENVIRON EXP BOT, V55, P142, DOI 10.1016/j.envexpbot.2004.10.010
   LANGE GM, 2003, C EC SERV TROP INT S
   Larson KL, 2009, ENVIRON SCI POLICY, V12, P1012, DOI 10.1016/j.envsci.2009.07.012
   Leary N, 2009, CLIM RES, V40, P121, DOI 10.3354/cr00832
   Mace M.J., 2005, REV EUROPEAN COMMUNI, V14, P225, DOI [DOI 10.1111/J.1467-9388.2005.00445.X, 10.1111/j.1467-9388.2005.00445.x]
   Mahe G, 2005, J HYDROL, V300, P33, DOI 10.1016/j.jhydrol.2004.04.028
   Moghadam VM, 2005, INT SOC SCI J, V57, P389, DOI 10.1111/j.1468-2451.2005.00557.x
   NKEM JN, 2007, SAT EJOURNAL, V4, P1
   Osman-Elasha B., 2007, Lessons learned in preparing national adaptation programmes of action in Eastern and Southern Africa
   Ouedraogo B, 2006, ENERG POLICY, V34, P3787, DOI 10.1016/j.enpol.2005.09.006
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   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]
   RABEN K, 2008, CLIMATE MAPPING STUD
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Resnick D, 2010, DEV POLICY REV, V28, P97, DOI 10.1111/j.1467-7679.2010.00476.x
   Sawadogo L., 2006, Adapter les approches de l'amenagement durable des forets seches aux aptitudes sociales, economiques et technologiques en Afrique: Le cas du Burkina Faso
   Simonsson L., 2005, Vulnerability profile of Burkina Faso
   SP/CONEDD, 2007, PROGR ACT NAT AD VAR
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Tapsoba H, 2006, J ETHNOPHARMACOL, V104, P68, DOI 10.1016/j.jep.2005.08.047
   Teyssou R, 2007, VACCINE, V25, pA3, DOI 10.1016/j.vaccine.2007.04.032
   Thabrew L, 2009, J CLEAN PROD, V17, P67, DOI 10.1016/j.jclepro.2008.03.008
   *UNDP, 2009, STRENGTH AD CAP RED
   UNFCCC, 2008, NAT AD PROGR ACT NAP
   *UNFCCC SECR, 2007, CLIM CHANG IMP VULN
   *UNITAR, 2006, COMM REC REP PROGR A
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   WITTIG R, 2001, EFTFRN NEWS, V32
   World Bank, 2010, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8126-7
   Yamego J, 2008, BIOTECHNOL AGRON SOC, V12, P47
   ,, 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
   2003, WEEKLY EPIDEMIOLOGIC, V78, P33
NR 68
TC 17
Z9 18
U1 0
U2 40
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD JUN
PY 2011
VL 16
IS 5
BP 535
EP 553
DI 10.1007/s11027-010-9278-2
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 763TA
UT WOS:000290581400003
DA 2025-01-10
ER

PT J
AU Sultana, SN
   Jo, H
   Song, JT
   Kim, K
   Lee, JD
AF Sultana, Syada Nizer
   Jo, Hyun
   Song, Jong Tae
   Kim, Kihwan
   Lee, Jeong-Dong
TI Stomatal Density Variation Within and Among Different Soybean Cultivars
   Across Various Growth Stages
SO AGRICULTURE-BASEL
LA English
DT Article
DE growth stages; leaflet; soybean cultivars; stomatal density; stomatal
   variation
ID NATURAL VARIATION; FREQUENCY; SIZE; CONDUCTANCE; TRAITS; LEAVES
AB Stomata regulate CO2 and water vapor exchange between leaves and the atmosphere, serving as a vital indicator of climate change resilience. Therefore, understanding the difference in stomatal numbers and patterns among different soybean cultivars across growth stages is essential to comprehending the complex mechanisms underlying soybean adaptation to climate change. The accurate measurements of stomatal density in soybean leaves are essential to understanding the complexity of stomatal density by environmental conditions. We demonstrated that the five epidermal sections and five microscopic images taken from both sides of each epidermal section at each leaf position (tip, middle, and bottom) were sufficient for stomatal measurements. Furthermore, we investigated variations in stomatal density among leaflet locations (left, right, and central) and leaf position across different growth stages. Notably, while there was no significant variation between the two leaves of the vegetative cotyledon (VC) stage and among the three leaflets of the V1 (first trifoliate) to V4 (fourth trifoliate) growth stages, leaves of the VC stage exhibited the lowest stomatal density, whereas those of the V4 stage exhibited the highest stomatal density. These findings could serve as a valuable tool for evaluating stomatal density, analyzing physiological differences under adverse climatic conditions, and phenotyping a large-scale population to identify the genetic factors responsible for stomatal density variations in soybean genotypes.
C1 [Sultana, Syada Nizer; Jo, Hyun; Song, Jong Tae; Kim, Kihwan; Lee, Jeong-Dong] Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea.
   [Sultana, Syada Nizer] IUBAT Int Univ Business Agr & Technol, Coll Agr Sci, Dhaka 1230, Bangladesh.
   [Jo, Hyun; Kim, Kihwan] Kyungpook Natl Univ, Upland Field Machinery Res Ctr, Daegu 41566, South Korea.
   [Lee, Jeong-Dong] Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea.
C3 Kyungpook National University (KNU); International University of
   Business Agriculture & Technology (IUBAT); Kyungpook National University
   (KNU); Kyungpook National University (KNU)
RP Lee, JD (corresponding author), Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea.; Lee, JD (corresponding author), Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea.
EM nizer.sultana@gmail.com; johyun@knu.ac.kr; jtsong68@knu.ac.kr;
   skiiry@knu.ac.kr; jdlee@knu.ac.kr
FU Cooperative Research Program for Agriculture Science and Technology
   Development [PJ01416803]; Rural Development Administration, Jeonju,
   Korea
FX This work was carried out with the support of "Cooperative Research
   Program for Agriculture Science and Technology Development (Project No.
   PJ01416803)" Rural Development Administration, Jeonju, Korea.
CR Amaliah N., 2019, IOP Conference Series: Earth and Environmental Science, V276, DOI 10.1088/1755-1315/276/1/012025
   Baillie AL, 2020, NEW PHYTOL, V225, P1120, DOI 10.1111/nph.16341
   Bergmann DC, 2007, ANNU REV PLANT BIOL, V58, P163, DOI 10.1146/annurev.arplant.58.032806.104023
   Bernard R., 1988, CROP SCI, V28, P1027, DOI DOI 10.2135/CROPSCI1988.0011183X002800060049X
   Bhaiswar N., 2007, Int. J. innov, V5, P6
   Bresson CC, 2011, TREE PHYSIOL, V31, P1164, DOI 10.1093/treephys/tpr084
   Brodribb TJ, 2017, PLANT CELL ENVIRON, V40, P872, DOI 10.1111/pce.12817
   Caine RS, 2019, NEW PHYTOL, V221, P371, DOI 10.1111/nph.15344
   Carpenter KJ, 2005, AM J BOT, V92, P1595, DOI 10.3732/ajb.92.10.1595
   Casson S, 2008, NEW PHYTOL, V178, P9, DOI 10.1111/j.1469-8137.2007.02351.x
   Casson SA, 2010, CURR OPIN PLANT BIOL, V13, P90, DOI 10.1016/j.pbi.2009.08.005
   Casson SA, 2009, CURR BIOL, V19, P229, DOI 10.1016/j.cub.2008.12.046
   Chen LQ, 2001, AM J BOT, V88, P1309, DOI 10.2307/3558342
   COLE DF, 1970, CROP SCI, V10, P61, DOI 10.2135/cropsci1970.0011183X001000010024x
   Crawford AJ, 2012, CURR BIOL, V22, pR396, DOI 10.1016/j.cub.2012.03.044
   Delgado D, 2011, ANN BOT-LONDON, V107, P1247, DOI 10.1093/aob/mcr060
   Dubberstein D, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11061126
   Engineer CB, 2014, NATURE, V513, P246, DOI 10.1038/nature13452
   Faralli M, 2019, CURR OPIN PLANT BIOL, V49, P1, DOI 10.1016/j.pbi.2019.01.003
   FEHR WR, 1971, CROP SCI, V11, P929, DOI 10.2135/cropsci1971.0011183X001100060051x
   Franks PJ, 2014, NEW PHYTOL, V201, P1079, DOI 10.1111/nph.12673
   Geisler M, 2002, NEW PHYTOL, V153, P469, DOI 10.1046/j.0028-646X.2001.00332.x
   Hamanishi ET, 2012, J EXP BOT, V63, P4959, DOI 10.1093/jxb/ers177
   Hetherington AM, 2003, NATURE, V424, P901, DOI 10.1038/nature01843
   Hultine KR, 2001, J EXP BOT, V52, P369, DOI 10.1093/jexbot/52.355.369
   Kardiman R, 2018, TREE PHYSIOL, V38, P696, DOI 10.1093/treephys/tpx149
   Kawamitsu Y, 1996, JPN J CROP SCI, V65, P626, DOI 10.1626/jcs.65.626
   Kim HyunTae Kim HyunTae, 2017, Korean Journal of Breeding Science, V49, P96, DOI [10.9787/KJBS.2017.49.2.96, 10.9787/kjbs.2017.49.2.96]
   Kouwenberg LLR, 2004, ANN BOT-LONDON, V94, P561, DOI 10.1093/aob/mch175
   Lawson T, 2014, PLANT PHYSIOL, V164, P1556, DOI 10.1104/pp.114.237107
   Laza MRC, 2010, EUPHYTICA, V172, P149, DOI 10.1007/s10681-009-0011-8
   Lee ChaeYoung Lee ChaeYoung, 2015, Plant Breeding and Biotechnology, V3, P179, DOI 10.9787/PBB.2015.3.3.179
   Lee JeongDong Lee JeongDong, 2018, Plant Breeding and Biotechnology, V6, P44, DOI 10.9787/PBB.2018.6.1.44
   Lehmann P, 2015, NEW PHYTOL, V207, P1015, DOI 10.1111/nph.13442
   Liu CC, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.655255
   Liu CC, 2018, FUNCT ECOL, V32, P20, DOI 10.1111/1365-2435.12973
   Lu Z. M., 1988, Acta Phytophysiologica Sinica, V14, P223
   Miyazawa SI, 2006, J EXP BOT, V57, P373, DOI 10.1093/jxb/eri278
   Park KeumYong Park KeumYong, 2005, Korean Journal of Breeding, V37, P111
   Pitaloka M.K., 2021, Front. Plant Sci, V13
   Poole I, 1996, PLANT CELL ENVIRON, V19, P705, DOI 10.1111/j.1365-3040.1996.tb00405.x
   Sakoda K, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.589603
   Sakoda K, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44127-0
   Smith HB, 1941, AM J BOT, V28, P722, DOI 10.2307/2436972
   Sultana SN, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10122714
   Sun JG, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107857
   Tanaka Y, 2010, CROP SCI, V50, P2525, DOI 10.2135/cropsci2010.02.0058
   TANZARELLA OA, 1984, CROP SCI, V24, P1070, DOI 10.2135/cropsci1984.0011183X002400060015x
   Wall S, 2022, NEW PHYTOL, V235, P1743, DOI 10.1111/nph.18257
   Wang RL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115395
   Wang XQ, 1998, PLANT PHYSIOL, V118, P1421, DOI 10.1104/pp.118.4.1421
   Willmer C., 2022, Stomata, P12
   young Lee bo, 2021, [Food Engineering Progress, 산업식품공학], V25, P61, DOI 10.13050/foodengprog.2021.25.1.61
   Zhong MY, 2020, PLANT CELL ENVIRON, V43, P2301, DOI 10.1111/pce.13826
   Zhu JY, 2018, FORESTS, V9, DOI 10.3390/f9100616
NR 55
TC 0
Z9 0
U1 5
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD NOV
PY 2024
VL 14
IS 11
AR 2028
DI 10.3390/agriculture14112028
PG 14
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA N3S0D
UT WOS:001363564000001
OA gold
DA 2025-01-10
ER

PT J
AU Sun, SJ
   Batista, SFA
   Menéndez, M
   Wang, YQ
   Zhang, S
AF Sun, Sijia
   Batista, S. F. A.
   Menendez, Monica
   Wang, Yuanqing
   Zhang, Shuang
TI Powering up urban mobility: A comparative study of energy efficiency in
   electric and diesel buses across various lane configurations
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Electric mobility; Transit operations; Bus lane configuration; Energy
   consumption; Adaption to climate change
ID MODEL MODEL DEVELOPMENT; FUEL CONSUMPTION MODEL; OPTIMIZATION;
   SIMULATION; STRATEGIES; EMISSIONS; PRIORITY
AB This paper undertakes a comprehensive quantitative and qualitative analysis of the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different lane configurations (including regular, dedicated, and shared-use bus lanes) and different operational conditions. We resort to both data and simulation-based approaches to investigate this topic. For this, we use GPS trajectory data from four transit corridors in Xi'an, China, which is complemented by a simulation-based analysis using a microscopic traffic simulator to mimic traffic dynamics on a 1-kilometer ring road. We show that EBs effectively consume less energy in suburban areas when utilizing regular lanes, while a dedicated bus lane layout offers minimal to no energy consumption benefits for DBs. Conversely, substantial energy savings are anticipated for both EBs and DBs when operating on dedicated bus lanes in downtown areas. Our simulation-based analysis showcases that the energy consumption of both bus types increases by over 25% on regular lanes compared to dedicated bus lanes under congested traffic conditions. Notably, shared-use bus lanes consistently exhibit the highest energy consumption in most scenarios, therefore being the less environmentally friendly lanes for deploying EBs and DBs.
C1 [Sun, Sijia; Wang, Yuanqing] Changan Univ, Coll Transportat Engn, Key Lab Transport Ind Management, Xian 710064, Peoples R China.
   [Sun, Sijia; Batista, S. F. A.; Menendez, Monica] New York Univ Abu Dhabi, Div Engn, POB 129188, Abu Dhabi, U Arab Emirates.
   [Batista, S. F. A.] Imperial Coll London, Dept Civil & Environm Engn, London, England.
   [Zhang, Shuang] Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China.
C3 Chang'an University; New York University; New York University Abu Dhabi;
   Imperial College London; Chang'an University
RP Wang, YQ (corresponding author), Changan Univ, Coll Transportat Engn, Key Lab Transport Ind Management, Xian 710064, Peoples R China.
EM sijia.sun@chd.edu.cn; S.batista@ic.ac.uk; monica.menendez@nyu.edu;
   wyqing@chd.edu.cn; zshuang.chd@chd.edu.cn
RI Batista, Sérgio/AAS-2196-2020; Sun, Si-Jia/ABF-9561-2020
OI Batista, Sergio/0000-0002-5388-7253; Menendez,
   Monica/0000-0001-5701-0523
FU National Natural Science Foundation of China [51178055]; Fundamental
   Research Funds for the Central Universities of the Ministry of Education
   of China [300102341302, 300102341303]; Natural Science Foundation of
   Shaanxi Province [2021JQ-293]; NYUAD Center for Interacting Urban
   Networks (CITIES); NYUAD Arabian Center for Climate and Environmental
   Sciences (AC-CESS) - Tamkeen under the NYUAD Research Institute [CG001,
   CG009]
FX Sijia Sun and Yuanqing Wang acknowledge support from the National
   Natural Science Foundation of China (NO. 51178055) , the Fundamental
   Research Funds for the Central Universities of the Ministry of Education
   of China (Grant No. 300102341302 and No. 300102341303) , and the Natural
   Science Foundation of Shaanxi Province (NO. 2021JQ-293) . S. F. A.
   Batista and M. Menendez acknowledge support by the NYUAD Center for
   Interacting Urban Networks (CITIES) and the NYUAD Arabian Center for
   Climate and Environmental Sciences (AC-CESS) , funded by Tamkeen under
   the NYUAD Research Institute Awards CG001 and CG009, respectively.
CR Abdelaty H, 2021, TRANSPORT RES D-TR E, V96, DOI 10.1016/j.trd.2021.102868
   Abdelaty H, 2021, ENERGIES, V14, DOI 10.3390/en14102824
   Alam A, 2014, TRANSPORT RES D-TR E, V31, P189, DOI 10.1016/j.trd.2014.06.010
   Basso R, 2019, TRANSPORT RES D-TR E, V69, P141, DOI 10.1016/j.trd.2019.01.006
   Chen XM, 2012, TRANSPORT RES REC, P11, DOI 10.3141/2277-02
   Christofa E, 2016, TRANSPORT RES C-EMER, V66, P27, DOI 10.1016/j.trc.2015.11.009
   Fiori C, 2019, TRANSPORT RES D-TR E, V67, P275, DOI 10.1016/j.trd.2018.11.018
   Fiori C, 2016, APPL ENERG, V168, P257, DOI 10.1016/j.apenergy.2016.01.097
   Gallet M, 2018, APPL ENERG, V230, P344, DOI 10.1016/j.apenergy.2018.08.086
   Gao YJ, 2018, ENERGIES, V11, DOI 10.3390/en11082060
   Gao Y, 2018, URBAN PLAN, V3, P82, DOI 10.17645/up.v3i2.1246
   Gao ZM, 2017, ENERGY, V122, P588, DOI 10.1016/j.energy.2017.01.101
   Guler SI, 2016, TRANSPORT RES C-EMER, V63, P51, DOI 10.1016/j.trc.2015.12.005
   He HT, 2018, TRANSPORT RES A-POL, V114, P364, DOI 10.1016/j.tra.2018.01.038
   He HT, 2016, TRANSPORT RES C-EMER, V64, P28, DOI 10.1016/j.trc.2016.01.009
   Hu Y. C., 2012, Sustainable transportation systems, P168, DOI [10.1061/9780784412299.0021, DOI 10.1061/9780784412299.0021]
   Jia WJ, 2018, TRANSPORT RES REC, V2672, P150, DOI 10.1177/0361198118793244
   Kim D, 2019, TRANSPORT RES REC, V2673, P663, DOI 10.1177/0361198119836982
   Kivekäs K, 2017, IEEE VEHICLE POWER
   Kunith A, 2017, INT J SUSTAIN TRANSP, V11, P707, DOI 10.1080/15568318.2017.1310962
   Lajunen A., 2019, Electric commercial vehicles (ECV), P104
   Lajunen A, 2016, ENERGY, V106, P329, DOI 10.1016/j.energy.2016.03.075
   Li PS, 2021, APPL ENERG, V298, DOI 10.1016/j.apenergy.2021.117204
   Ma XL, 2021, ENERGY, V216, DOI 10.1016/j.energy.2020.119196
   MarketWatch, 2021, China electric bus market report 2019: By key players, end-user, type, market share, forecast to 2025
   Othman B, 2019, ANNU REV CONTROL, V48, P292, DOI 10.1016/j.arcontrol.2019.09.003
   Pamula T, 2020, ENERGIES, V13, DOI 10.3390/en13092340
   Rakha H, 2001, J TRANSP ENG-ASCE, V127, P418, DOI 10.1061/(ASCE)0733-947X(2001)127:5(418)
   Rakha HA, 2011, TRANSPORT RES D-TR E, V16, P492, DOI 10.1016/j.trd.2011.05.008
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Vepsäläinen J, 2018, ENERGIES, V11, DOI 10.3390/en11123267
   Wang JH, 2016, APPL ENERG, V170, P394, DOI 10.1016/j.apenergy.2016.02.124
   Wang YH, 2016, TRANSPORT RES REC, P69, DOI 10.3141/2570-08
   Wirasinghe SC, 2013, INT J URBAN SCI, V17, P1
   Wu XK, 2015, TRANSPORT RES D-TR E, V34, P52, DOI 10.1016/j.trd.2014.10.007
   Yang KD, 2019, TRANSPORTMETRICA B, V7, P423, DOI 10.1080/21680566.2018.1434019
   Younes Z, 2013, 2013 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), P247
   Yu Q, 2016, APPL ENERG, V161, P101, DOI 10.1016/j.apenergy.2015.09.096
   Zart N., 2021, 100% Electric bus fleet for Shenzhen (population 11.9 million) by end of 2017
   Zhou M, 2016, TRANSPORT RES D-TR E, V49, P203, DOI 10.1016/j.trd.2016.09.008
NR 40
TC 5
Z9 5
U1 7
U2 14
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 105086
DI 10.1016/j.scs.2023.105086
EA NOV 2023
PG 16
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 CT4W0
UT WOS:001127487400001
DA 2025-01-10
ER

PT J
AU Islam, MS
   Deb, BK
   Alam, SR
   Nishat, A
AF Islam, Md. Sirajul
   Deb, Biplob Kumer
   Alam, Shoeb Reaz
   Nishat, Ainun
TI Technology for adaptation: a case study of developing a detailed
   inventory of drinking water supply technologies along the
   salinity-affected coastal region of Bangladesh
SO AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY
LA English
DT Article
DE adaptation; climate change; drinking water supply technologies;
   freshwater crisis; inventory and comparative analysis
ID COMMUNITY PERCEPTION
AB The south-western coastal zone of Bangladesh is suffering from an acute crisis of freshwater due to salinity intrusion. The extent of the problem and its causes in detail were investigated in the first place. Climate change along with a few other anthropogenic impacts are the main causes. Exploring technologies for adaptation to climate change has been emphasized nowadays to overcome the problem of climate change impact. The coastal community was found to be already adopting technological measures as an adaptation means. This study developed a detailed inventory of all the available indigenous water supply technology options along the region and categorized them. An analysis of the suitability of the technologies was done focusing on the factors like state of the technology, convenience in operation, quantity and quality of the supplied water, as well as financial viability or management practice. Both qualitative and quantitative approaches to the study were adopted to collect and analyze the data through extensive field visits, laboratory testing, and secondary data analysis. It is found that in most cases, solutions are on an ad hoc basis, having a lifetime of less than 5 years. In some places, people are gradually moving towards community-based and long-term hi-tech solutions.
C1 [Islam, Md. Sirajul] North South Univ, Civil & Environm Engn, Dhaka 1229, Bangladesh.
   [Deb, Biplob Kumer] Notre Dame Coll, Dhaka, Bangladesh.
   [Alam, Shoeb Reaz] North South Univ, Dhaka, Bangladesh.
   [Nishat, Ainun] Brac Univ, Dhaka, Bangladesh.
C3 North South University (NSU); North South University (NSU); Bangladesh
   Rural Advancement Committee BRAC; BRAC University
RP Islam, MS (corresponding author), North South Univ, Civil & Environm Engn, Dhaka 1229, Bangladesh.
EM sirajul.islam@northsouth.edu
RI Islam, Sirajul/AAW-4126-2020
OI Md. Sirajul, Islam/0000-0003-3000-4371
CR Abedin MA, 2014, INT J DISAST RISK SC, V5, P110, DOI 10.1007/s13753-014-0021-6
   ADB, 2010, TA7197 ADB BAN
   Ahmed A U., 2006, Bangladesh Climate Change Impacts and Vulnerability: A Synthesis
   [Anonymous], 2011, BANGLADESH POPULATIO, V2
   [Anonymous], 2011, DPHE OFF REC
   [Anonymous], 2009, BANGLADESH CLIMATE C
   [Anonymous], 2005, COAST ZON POL
   [Anonymous], 2006, COASTAL DEV STRATEGY
   [Anonymous], 2004, LAND MEETS SEA PROFI
   Bangladesh Meteorological Department (BMD), 2014, GOV PEOPL REP BANGL
   Baten M A., 2015, American Journal of Climate Change, V04, P248, DOI DOI 10.4236/AJCC.2015.43020
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   BWDB, 2022, CEIP 1 COAST EMB IMP
   Conrads P., DEV COASTAL SALINITY
   FAO, 2009, INT COAST AR MAN AGR
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Germanwatch, 2020, ENVIRON SCI POLLUT R
   Haque A., 2021, BUSINESS STANDA 0108
   ICZMP, 2004, US
   IPCC, 2001, US
   Islam KZ., 2014, American Journal of Water Resources, V2, P141, DOI [10.12691/ajwr-2-6-2, DOI 10.12691/AJWR-2-6-2]
   Islam M.R., 2004, Where Land Meets the Sea: A Profile of the Coastal Zone of Bangladesh
   Islam M. S., 2013, P 3 CLIM CHANG TECHN, P18
   Islam MS, 2004, REV FISH BIOL FISHER, V14, P153, DOI 10.1007/s11160-004-3769-8
   Islam S. N., 2011, C P ICWFM
   IWM, 2020, US
   Kabir R, 2016, J ENVIRON PUBLIC HEA, V2016, DOI 10.1155/2016/9654753
   Khanom S., 2012, J SCI RES, V25, P33, DOI [10.3329/bjsr.v25i1.13048, DOI 10.3329/BJSR.V25I1.13048]
   Mahalder B., 2018, INT SEM WAT CRIS IND
   Minar M. H., 2013, Middle East Journal of Scientific Research, V13, P114
   Mirza MMQ, 1998, ENVIRON MANAGE, V22, P711, DOI 10.1007/s002679900141
   Miyan M. A., 2009, MONSONN BANGLADESH C
   NAPA, 2005, US
   Palash W., 2015, SALINITY S W REGION
   Rahman A., COASTAL ZONE MANAGEM
   Rahman MTU, 2017, OCEAN COAST MANAGE, V137, P68, DOI 10.1016/j.ocecoaman.2016.12.005
   Rahman M. Z., 2015, THESIS BUET
   Sarker M. H., 2015, CLIMATE CHANGE VULNE, pvi + 66
   Sarwar G. M., 2005, THESIS LUND U
   SMRC, 2005, US
   SRDI, 2011, SOIL RES DEV I
   UNFCC, 2010, TEC BRIEF 5
   UNFCC, 2007, US
   UNFCC, 2006, US
   World Bank, 2015, SAL INTR CHANG CLIM
NR 45
TC 1
Z9 1
U1 0
U2 2
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2709-8028
EI 2709-8036
J9 AQUA-UK
JI AQUA
PD MAY
PY 2023
VL 72
IS 5
BP 673
EP 689
DI 10.2166/aqua.2023.184
EA APR 2023
PG 17
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA I0WQ9
UT WOS:000971130800001
OA gold
DA 2025-01-10
ER

PT J
AU Konbr, U
   Bayoumi, W
   Ali, MN
   Shiba, ASE
AF Konbr, Usama
   Bayoumi, Walid
   Ali, Mohamed N.
   Shiba, Ahmed Salah Eldin
TI Sustainability of Egyptian Cities through Utilizing Sewage and Sludge in
   Softscaping and Biogas Production
SO SUSTAINABILITY
LA English
DT Article
DE sustainable cities; softscaping; sewage and sludge; membrane bioreactors
   (MBRs); biogas production; anaerobic digester; heating systems; national
   egyptian agenda 2030
ID WASTE-WATER TREATMENT; MEMBRANE BIOREACTORS; ENERGY; PERFORMANCE; CELL
AB The National Egyptian Agenda 2030 recently adopted the concepts of sustainable cities, mitigating and adapting to climate change. This study responded to these concepts by treating sewage to reuse it in softscaping and recycling sludge to reduce energy consumption and support heating systems by producing biogas. Of the limitations of this study, it focuses on a compound to propose a model to increase the sustainability of Egyptian cities. This study used many technologies, such as biological treatment processes, activated sludge, trickling filters, and fixed bioreactors. However, Membrane bioreactors (MBRs) have seemed to be the most suitable technology because of their low cost and footprint. Additionally, a pilot laboratory was established to simulate the sewage treatment plant. It consisted of a primary sedimentation tank followed by an MBR tank and a chlorine disinfection tank, where the sludge was fed into a cylindrical anaerobic digester. The amount of sludge collected generated 41.5 mL/day of biogas. The application of this large-scale batch reactor will produce around 38 m3/day of biogas. Applying the findings of this study to the treatment and reuse of domestic sewage and sludge can provide up to 50% of the water needed for the green area of the compound.
C1 [Konbr, Usama] Tanta Univ, Dept Architecture, Fac Engn, Tanta 31733, Egypt.
   [Bayoumi, Walid] Cairo Univ, Fac Urban & Reg Planning FURP, Dept Reg Planning, Giza 12613, Egypt.
   [Ali, Mohamed N.] Beni Suef Univ, Dept Environm & Sanit Engn, Fac Engn, Bani Suwayf 62511, Egypt.
   [Shiba, Ahmed Salah Eldin] Beni Suef Univ, Dept Architecture, Fac Engn, Bani Suwayf 62511, Egypt.
C3 Egyptian Knowledge Bank (EKB); Tanta University; Egyptian Knowledge Bank
   (EKB); Cairo University; Egyptian Knowledge Bank (EKB); Beni Suef
   University; Egyptian Knowledge Bank (EKB); Beni Suef University
RP Konbr, U (corresponding author), Tanta Univ, Dept Architecture, Fac Engn, Tanta 31733, Egypt.
EM drusamakonbr@f-eng.tanta.edu.eg; walid.bayoumi@cu.edu.eg;
   mohamednabil@eng.bsu.edu.eg; ahmed.salah@eng.bsu.edu.eg
RI Konbr, Usama/AAB-8935-2021
OI Konbr, Usama/0000-0002-7188-5374
CR Ali M., 2020, Xian Jianzhu Keji Daxue Xuebao/Journal of Xian University of Architecture Technology, VXII, P983, DOI DOI 10.37896/JXAT12.07/2408
   [Anonymous], 2005, EG COD PRACT REUS TR
   Ben Aim RM, 2003, WATER SCI TECHNOL, V47, P1
   Bohl DK., 2018, Sustainable Development Goals Report: Egypt 2030, 42
   Bornare JB, 2015, WATER SCI TECHNOL, V71, P1654, DOI 10.2166/wst.2015.135
   Caposciutti G, 2020, ENERGIES, V13, DOI 10.3390/en13030743
   Cosenza A, 2013, BIOPROC BIOSYST ENG, V36, P499, DOI 10.1007/s00449-012-0806-1
   Delanka-Pedige HMK, 2021, INT J SUST DEV WORLD, V28, P203, DOI 10.1080/13504509.2020.1795006
   El-Gohary F.A., 2002, ENVIRONMENTALIST, V22, P59, DOI [10.1023/A:1014524125854, DOI 10.1023/A:1014524125854]
   Eldardiry D., 2022, International Journal of Sustainable Development and Planning, V17, P559, DOI [10.18280/ijsdp.170221, DOI 10.18280/IJSDP.170221]
   Elghonaimy I.H., 2016, IJRDO J SOC SCI HUM, V1, P82, DOI [10.53555/sshr.v1i10.401, DOI 10.53555/SSHR.V1I10.401]
   Elghonaimy I.H., 2021, BAU J CREAT SUSTAIN, V3, P12
   Fenu A, 2011, COMPREHENSIVE BIOTECHNOLOGY, VOL 6: ENVIRONMENTAL BIOTECHNOLOGY AND SAFETY, 2ND EDITION, P305
   Hakizimana A., 2019, THESIS CLEMSON U ANN
   Harper WF, 2006, WATER SA, V32, P193
   Hrudka J., 2017, POLLACK PERIOD, V12, P79, DOI [10.1556/606.2017.12.2.7, DOI 10.1556/606.2017.12.2.7]
   Huang YF, 2018, ENRGY PROCED, V152, P910, DOI 10.1016/j.egypro.2018.09.092
   iea, SUST DEV STRAT EG VI
   Iglinski B, 2021, CLEAN TECHNOL ENVIR, V23, P2061, DOI 10.1007/s10098-021-02103-1
   IRENA, Global Energy Transformation: A Roadmap to 2050
   Joshi Aditya, 2021, IOP Conference Series: Earth and Environmental Science, V795, DOI 10.1088/1755-1315/795/1/012028
   Jover-Smet M, 2017, WATER-SUI, V9, DOI 10.3390/w9060448
   Karagiannidis A, 2011, DESALIN WATER TREAT, V33, P185, DOI 10.5004/dwt.2011.2613
   Kiddle GL, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212660
   Konbr U., 2005, THESIS AL AZHAR U CA, DOI [10.13140/RG.2.1.2190.1202, DOI 10.13140/RG.2.1.2190.1202]
   Konbr U., 2019, J ENG RES-KUWAIT, V3, P48, DOI [10.21608/erjeng.2019.125753, DOI 10.21608/ERJENG.2019.125753]
   Konbr U., 2019, RESOURCEEDINGS, V2, P101, DOI DOI 10.21625/RESOURCEEDINGS.V2I1.455
   Kumar Arvind, 2022, Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2021. Smart Innovation, Systems and Technologies (265), P115, DOI 10.1007/978-981-16-6482-3_12
   Kurt U, 2008, ENVIRON ENG SCI, V25, P153, DOI 10.1089/ees.2006.0132
   Leyzerova A, 2016, PROCEDIA ENGINEER, V150, P2055, DOI 10.1016/j.proeng.2016.07.299
   Lu M, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103349
   Maged J., 2022, CIVIL ENG ARCHITECTU, V10, P12, DOI [10.13189/cea.2022.100102, DOI 10.13189/CEA.2022.100102]
   Makisha N, 2018, MATEC WEB CONF, V144, DOI 10.1051/matecconf/201814404016
   Maragkaki AE, 2017, WASTE MANAGE, V59, P362, DOI 10.1016/j.wasman.2016.10.043
   MOIC, 2015, EG NAT REV REP INP 2
   Naghizadeh A, 2011, ARAB J SCI ENG, V36, P3, DOI 10.1007/s13369-010-0007-7
   Naidoo D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179978
   Nawy, NAWY
   Picardo A, 2019, ENERGY, V180, P649, DOI 10.1016/j.energy.2019.05.123
   Plevri A, 2021, CHEMOSPHERE, V275, DOI 10.1016/j.chemosphere.2021.129961
   Rose G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095198
   Shiba A.S.E., 2020, INT J ADV SCI TECHNO, V29, P8174
   Shiba A.S.E., 2020, INT J ADV SCI TECHNO, V29, P1819
   Shin H, 2004, WA SCI TECHNOL, V4, P135, DOI 10.2166/ws.2004.0016
   Wagner J, 2000, WATER SCI TECHNOL, V41, P251, DOI 10.2166/wst.2000.0655
   Wei Z, 2021, ADV CONCR CONSTR, V11, P455, DOI 10.12989/acc.2021.11.6.455
   Yang YF, 2015, FRESEN ENVIRON BULL, V24, P3616
   Zenginis D., 2022, Environ. Sci. Proc, V15, P37
NR 48
TC 7
Z9 7
U1 2
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2022
VL 14
IS 11
AR 6675
DI 10.3390/su14116675
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 1Z7XW
UT WOS:000809033400001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Carmona, R
AF Carmona, Rosario
TI Resilience Requires Change: Assessing Pehuenche Responses to Climate
   Change Impacts in Southern Chile
SO ENVIRONMENTAL JUSTICE
LA English
DT Article
DE climate change; resilience; indigenous people; adaptation; policy; Chile
ID INDIGENOUS PEOPLES; VULNERABILITY; ADAPTATION; COMMUNITIES; CHALLENGES
AB Indigenous peoples are one of the most vulnerable groups to climate change. Although many communities are already responding to these impacts, inequitable structures impose barriers to their capacity to recover and adapt. Through the case of the Pehuenche people of Southern Chile, this article addresses the question of what is the relationship between resilience and adaptation to climate change. From an ethnographic approach, the article characterizes the construction process of the contextual vulnerability of Pehuenche communities and evaluates their responses to cope with climate change impacts. Fieldwork was conducted in two stages between 2017 and 2019. Results show that current Pehuenche vulnerability to climate change is an ongoing process influenced by the state rather than a consequence of this phenomenon. Although Pehuenche communities are responding to climate change impacts, their resilience is constrained by the incidence of state policy. Identifying themselves as herders, Pehuenche responses aim to restore the conditions for livestock instead of changing the factors that make them vulnerable. Most of their responses can be considered maladaptation because they reinforce vulnerability by reproducing practices that damage their social capital and cause more pressure on the territory. A critical review and reformulation of the policy implemented at the local level are mandatory to strengthen community resilience.
C1 [Carmona, Rosario] Univ Bonn, Dept Anthropol Amer, Bonn, Germany.
   [Carmona, Rosario] Ctr Intercultural & Indigenous Estudies, Santiago, Chile.
C3 University of Bonn
RP Carmona, R (corresponding author), Univ Bonn, Dept Anthropol Amer, Bonn, Germany.; Carmona, R (corresponding author), Ctr Intercultural & Indigenous Estudies, Santiago, Chile.
EM s5rocarm@uni-bonn.de
RI Carmona, Rosario/HHZ-6006-2022
OI Carmona, Rosario/0000-0003-2563-9591
FU Center for Intercultural and Indigenous Research (ANID/FONDAP)
   [15110006]; ERC Consolidator Grant [FP7-771056-LICCI]; Academy of
   Christian Humanism University [FIIC 2019-02-01]
FX This research was funded by the Center for Intercultural and Indigenous
   Research (ANID/FONDAP 15110006); the ERC Consolidator Grant to
   Reyes-Garcia (FP7-771056-LICCI); and the Academy of Christian Humanism
   University (FIIC 2019-02-01).
CR Adapt-Chile, 2014, URBAN ADAPTATI UNPUB
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   Aninat S. I., 2019, ESTUDIOS PUBLICOS, V153, P7, DOI [10.38178/cep.vi153.32, DOI 10.38178/CEP.VI153.32]
   [Anonymous], 2011, GOVERNANCE CLIMATE C
   [Anonymous], 2017, Censo
   Antileo Enrique, 2013, NEW FORMS COLONIALIS
   ARClim, 2020, CLIMATE RISK ATLAS C
   Barrios RE, 2016, ANN ANTHROPL PRACT, V40, P28, DOI 10.1111/napa.12085
   Bebbington, 2010, UMBRALES REV POSTGRA, V20, P127
   Belfer E, 2017, CLIMATIC CHANGE, V145, P57, DOI 10.1007/s10584-017-2076-z
   Bengoa Jose, 1992, QUINQUEN 100 YEARS P
   Bernards N, 2021, GEOFORUM, V126, P441, DOI 10.1016/j.geoforum.2019.10.007
   Brears Robert, 2020, PALGRAVE HDB CLIMATE
   Callison C., 2017, OXF RES ENCY CLIM SC, DOI [10.1093/acrefore/9780190228620.013.411, DOI 10.1093/ACREFORE/9780190228620.013.411]
   Camus Pablo, 2014, REV HIST IBEROAMERIC, V7, P10
   Carmona Rosario, 2020, FRAMEWORL LAW CLIMAT
   Gallardo MC, 2016, ENVIRON JUSTICE, V9, P9, DOI 10.1089/env.2015.0023
   CAYUL O, 2019, Revista Austral de Ciencias Sociales, V37, P123, DOI [10.4206/rev.austral.cienc.soc.2019.n37-07, DOI 10.4206/REV.AUSTRAL.CIENC.SOC.2019.N37-07]
   Colburn LL, 2016, MAR POLICY, V74, P323, DOI 10.1016/j.marpol.2016.04.030
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de la Maza F., 2012, RURIS - Revista do Centro de Estudos Rurais - UNICAMP, V6, P239
   Delgado D., 2019, Documentos de Trabajo, V22
   Delgado Gian Carlo, 2013, POLITICAL ECOLOGY EX, P19
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fernández-Llamazares A, 2015, GLOBAL ENVIRON CHANG, V31, P272, DOI 10.1016/j.gloenvcha.2015.02.001
   Gajjar SP, 2019, CLIM DEV, V11, P223, DOI 10.1080/17565529.2018.1442793
   Gayan, 2006, ENV FORESTS FOREST M
   Granberg M, 2014, J ENVIRON POL PLAN, V16, P147, DOI 10.1080/1523908X.2013.823857
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Gyampoh B. A., 2009, Unasylva (English ed.), V60, P70
   Hector Hector, 2011, NATURALEZA COLONIZAD, P21
   Ives Jack, 1997, MOUNTAINS WORLD GLOB
   IWGIA, 2008, C IND PEOPL CLIM CHA
   Kpadonou R. A. B., 2012, African Crop Science Journal, V20, P181
   Marchant Carla, 2011, REV HIST GEOGRAFIA, P55
   MIDESO, 2015, ENCUESTA CARACTERIZA
   MIDESO, 2017, Encuesta de Caracterizacion Socioeconomica Nacional CASEN
   Ministry of Environment, 2020, CLIM RISK ATL CHIL
   MMA, 2014, NATL CLIMATE CHANGE
   MMA, 2013, CLIMATE CHANGE ADAPT
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Nakashima DJ., 2012, WEARING UNCERTAIN
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   O'Brien K., 2013, P TRANSFORMATION CHA, P16
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Otero Luis, 2006, FOOTPRINT FIRE HIST
   Parraguez-Vergara E, 2016, J DEV SOC, V32, P454, DOI 10.1177/0169796X16667874
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Ramos-Castillo A, 2017, CLIMATIC CHANGE, V140, P1, DOI 10.1007/s10584-016-1873-0
   RIMISP CORFO Fundacion superacion de la pobreza CNID FACSO USACH and BID, 2017, FUNCTIONAL TERRITORY
   Hernández JR, 2016, LAT AM PERSPECT, V43, P29, DOI 10.1177/0094582X16641264
   SACK RD, 1983, ANN ASSOC AM GEOGR, V73, P55, DOI 10.1111/j.1467-8306.1983.tb01396.x
   Sanchez Jose, 2013, MAPUCHE PEOPLE FORES
   Schlosberg D, 2010, GLOBAL ENVIRON POLIT, V10, P12, DOI 10.1162/GLEP_a_00029
   Schultz L, 2015, P NATL ACAD SCI USA, V112, P7369, DOI 10.1073/pnas.1406493112
   Sen A. etal, 1999, Commodities and Capabilities
   Sherpa Pasang Dolma, 2019, HIST JOURN IND PEOP
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Soares D, 2011, CIENC ERGO-SUM, V18, P249
   TORRES-SALINAS ROBINSON, 2016, Ambient. soc., V19, P121
   Townsend J, 2020, FACETS, V5, P551, DOI 10.1139/facets-2019-0058
   Tsosie Rebecca., 2007, U COLORADO LAW REV, V78, P1625, DOI DOI 10.3868/S050-004-015-0003-8
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   UNFCCC, 2018, LOC COMM IND PEOP PL
   UNFCCC, 2006, STAT INT DAY WORLD I
NR 67
TC 8
Z9 8
U1 0
U2 13
PU MARY ANN LIEBERT, INC
PI NEW ROCHELLE
PA 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA
SN 1939-4071
EI 1937-5174
J9 ENVIRON JUSTICE
JI Environ. Justice
PD JUN 1
PY 2022
VL 15
IS 3
BP 185
EP 195
DI 10.1089/env.2021.0044
EA SEP 2021
PG 11
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 1X8MW
UT WOS:000696020100001
PM 35686287
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Wang, YJ
   Song, LC
   Hewitt, C
   Golding, N
   Huang, ZL
AF Wang, Yujie
   Song, Lianchun
   Hewitt, Chris
   Golding, Nicola
   Huang, Zili
TI Improving China's Resilience to Climate-Related Risks: The China
   Framework for Climate Services
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
ID SUSTAINABLE DEVELOPMENT; INFORMATION; SCIENCE; COPRODUCTION;
   CONSTRUCTION; ADAPTATION; EVENTS
AB The primary needs for climate services in China, in the form of climate information for decision-making, are to better prepare for and manage meteorological-related disasters, adaptation to climate change, and sustainable development. In this paper, the vision, structure, content, and governance of the China Framework for Climate Services, which is designed to respond to these primary needs, is described. This paper reflects on practice, lessons, and experience developing and delivering climate services in China for disaster risk reduction, agriculture, water, energy, urbanization, and major engineering projects. Four key aspects of successful climate services are highlighted: the transition of climate research to operational climate services; delivering relevant, tailored, and usable climate information; effective engagement between users and providers of climate services; and building interdisciplinary professional teams. Key challenges and opportunities for climate services are recognized in this paper: a growing gap between climate science and services capability and societal need, a lack of awareness in user communities of the climate service value for their activities, and the important need for closer and more meaningful interactions between users and providers of climate services. The delivery and uptake of high-quality, relevant, usable, and effective climate services will facilitate climate-smart decisions that will reduce climate risks and improve Chinese societal resilience.
C1 [Wang, Yujie] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Int Joint Res Lab Climate & Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing, Peoples R China.
   [Wang, Yujie] Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing, Peoples R China.
   [Song, Lianchun; Huang, Zili] China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China.
   [Hewitt, Chris; Golding, Nicola] Met Off, Exeter, Devon, England.
   [Hewitt, Chris] Univ Southern Queensland, Toowoomba, Qld, Australia.
C3 Nanjing University of Information Science & Technology; Nanjing
   University of Information Science & Technology; China Meteorological
   Administration; Met Office - UK; University of Southern Queensland
RP Song, LC (corresponding author), China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China.
EM songlc@cma.gov.cn
RI Huang, Zili/X-1816-2019
OI Hewitt, Chris/0000-0002-4718-4009
FU National Key R&D Program of China [2018YFA0606302]; U.K.-China Research
   and Innovation Partnership Fund through the Met Office CSSP China as
   part of the Newton Fund
FX This work was jointly supported by the National Key R&D Program of China
   (Grant 2018YFA0606302) and the U.K.-China Research and Innovation
   Partnership Fund through the Met Office CSSP China as part of the Newton
   Fund. We thank the editor and three anonymous reviewers who all made
   very valuable suggestions for improvement of this paper.
CR Asrar GR, 2012, CURR OPIN ENV SUST, V4, P88, DOI 10.1016/j.cosust.2012.01.003
   Belcher S, 2018, ADV ATMOS SCI, V35, P897, DOI 10.1007/s00376-018-8002-0
   Bett PE, 2018, ADV ATMOS SCI, V35, P918, DOI 10.1007/s00376-018-7210-y
   Bisbal GA, 2019, SCI PUBL POLICY, V46, P148, DOI 10.1093/scipol/scy070
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Burke C, 2017, J CLIMATE, V30, P5205, DOI [10.1175/JCLI-D-16-0892.1, 10.1175/jcli-d-16-0892.1]
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chen Y, 2019, B AM METEOROL SOC, V100, pS91, DOI 10.1175/BAMS-D-18-0087.1
   [成金华 CHENG JinhuaL], 2006, [中国人口·资源与环境, China Population·Resources and Environment], V16, P162
   Christel I, 2018, CLIM SERV, V9, P111, DOI 10.1016/j.cliser.2017.06.002
   CMA, 2015, CHIN CLIM B
   CMA, 2017, CHIN LIGHTN MON REP
   Daly M, 2018, WEATHER CLIM SOC, V10, P693, DOI 10.1175/WCAS-D-18-0015.1
   Dong BW, 2016, ADV ATMOS SCI, V33, P1005, DOI 10.1007/s00376-016-5247-3
   [方精云 Fang Jingyun], 2018, [科学通报, Chinese Science Bulletin], V63, P136
   [房小怡 Fang Xiaoyi], 2015, [地球科学进展, Advance in Earth Sciences], V30, P445
   Golding Nicola, 2017, Climate Services, V8, P72, DOI 10.1016/j.cliser.2017.11.002
   Golding Nicola, 2017, Climate Services, V5, P39, DOI 10.1016/j.cliser.2017.03.004
   Golding N, 2019, CLIM RISK MANAG, V23, P43, DOI 10.1016/j.crm.2019.01.002
   Haigh T, 2018, B AM METEOROL SOC, V99, P1781, DOI 10.1175/BAMS-D-17-0253.1
   Han ZY, 2019, J APPL METEOROL CLIM, V58, P2387, DOI 10.1175/JAMC-D-19-0050.1
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hewitt C, 2018, ADV ATMOS SCI, V35, P905, DOI 10.1007/s00376-018-7255-y
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   Jiao M.Y., 2015, WORLD METEOROL ORGAN, V64, P1
   Jiao MeiYan Jiao MeiYan, 2013, Bulletin - World Meteorological Organization, V62, P49
   Jie HY, 2019, IEEE IND ELEC, P318, DOI 10.1109/IECON.2019.8927537
   Kent C, 2019, J APPL METEOROL CLIM, V58, P2247, DOI 10.1175/JAMC-D-19-0096.1
   Kent C, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6cb9
   Kirchhoff CJ, 2013, CLIMATIC CHANGE, V119, P495, DOI 10.1007/s10584-013-0703-x
   Kruk MC, 2017, WEATHER CLIM SOC, V9, P839, DOI 10.1175/WCAS-D-16-0127.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Li CX, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9691
   Li Y, 2014, ECOL ECON, V10, P66
   Lourenço TC, 2016, NAT CLIM CHANGE, V6, P13, DOI 10.1038/nclimate2836
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Moser SC, 2016, WIRES CLIM CHANGE, V7, P345, DOI 10.1002/wcc.403
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Qin D., 2015, China national assessment report on risk management and adaptation of climate extremes and disasters
   Qiu B, 2015, URBAN RURAL DEV, V2, P8
   [宋连春 Song Lianchun], 2013, [应用气象学报, Journal of Applied Meteorolgical Science], V24, P513
   Sun Y, 2016, B AM METEOROL SOC, V97, pS102, DOI 10.1175/BAMS-D-16-0158.1
   Sutton RT, 2019, B AM METEOROL SOC, V100, P1637, DOI 10.1175/BAMS-D-18-0280.1
   Vaughan C, 2018, WEATHER CLIM SOC, V10, P373, DOI 10.1175/WCAS-D-17-0030.1
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   Wang J, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9404
   Wang YJ, 2018, J METEOROL RES-PRC, V32, P937, DOI 10.1007/s13351-019-8106-1
   [王玉洁 Wang Yujie], 2016, [应用气象学报, Journal of Applied Meteorolgical Science], V27, P750
   Weichselgartner J, 2019, WEATHER CLIM SOC, V11, P385, DOI 10.1175/WCAS-D-18-0087.1
   Wu QB, 2013, CHINESE SCI BULL, V58, P1079, DOI 10.1007/s11434-012-5587-z
   Xiao F-J, 2006, J NATURAL DISASTERS, V15, P327
   Xie XL, 2017, CHIN J URBAN ENV STU, V5, DOI 10.1142/S2345748117500075
   [姚秀萍 YAO Xiuping], 2011, [气象, Meteorological Monthly], V37, P749
   Zhai J, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/5194091
   Zhai PM, 2019, CHIN SCI B-CHIN, V64, P1995, DOI 10.1360/N972018-00911
   [张钛仁 ZHANG Tairen], 2011, [气象科学, Scientia Meteorologlca Sinica], V31, P194
   Zhang W, 2011, ENRGY PROCED, V5, P839, DOI 10.1016/j.egypro.2011.03.148
   Zhang X., 2019, ADV METEOROL SCI TEC, V9, P41, DOI [10.3969/j.issn.2095-1973.2019.01.007, DOI 10.3969/J.ISSN.2095-1973.2019.01.007]
   Zhang Z, 2017, CHINA ENERGY NEWS
   Zhou F., 2016, HUNAN NONGYE DAXUE X, V17, P100, DOI [10.13331/j.cnki.jhau(ss).2016.01.017, DOI 10.13331/J.CNKI.JHAU(SS).2016.01.017]
NR 62
TC 7
Z9 7
U1 0
U2 22
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 2020
VL 12
IS 4
BP 729
EP 744
DI 10.1175/WCAS-D-19-0121.1
PG 16
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 OS0DB
UT WOS:000589833500008
OA Bronze
DA 2025-01-10
ER

PT J
AU Carlos, SD
   da Cunha, DA
   Pires, MV
   do Couto-Santos, FR
AF Carlos, Sabrina de Matos
   da Cunha, Denis Antonio
   Pires, Marcel Viana
   do Couto-Santos, Fabiana Rita
TI Understanding farmers' perceptions and adaptation to climate change: the
   case of Rio das Contas basin, Brazil
SO GEOJOURNAL
LA English
DT Article
DE Agriculture; Adaptive behavior; Mediation model
ID RISK PERCEPTIONS; CHANGE BELIEFS; SOCIAL VULNERABILITY; AGRICULTURE;
   MITIGATION; CAPACITY; IMPACTS; POLICY
AB The vulnerability of the agriculture sector to climate change in developing countries and it's risks to Brazilian Northeast farmers are very discussed issues on environmental agenda. In this sense, this paper put forward an understanding of the factors that drive individuals to adopt adaptive strategies to cope changing environments as a fundamental issue for the direction and effective formulation of well-targeted public policies. Mediation models were estimated considering two distinct specifications, based in two different groups of variables: (1) adoption of adaptive practices by farmers based only on the impact of climate perception, mediated by belief in the occurrence of climate change; (2) the socioeconomic conditions of the farmers and their properties were additionally included. The main results demonstrated that the Rio das Contas basin farmers' perceptions about the negative effects of climate change, despite being the main driver, will only affect adaptation behavior when the farmers have believe in the occurrence of climate change. Socioeconomic conditions are overshadowed in predictive power of adaptation by belief on climate change. This outcome may be directly related to the farmers' cultural aspects, nevertheless, the importance of technical assistance or rural extension services should be also emphasized as an impressive part of farmers is no longer adapted due to lack of knowledge of suitable techniques.
C1 [Carlos, Sabrina de Matos; da Cunha, Denis Antonio; Pires, Marcel Viana; do Couto-Santos, Fabiana Rita] Univ Fed Vicosa, Dept Econ Rural, Programa Posgrad Econ Aplicada, Ave Peter Henry Rolfs S-N,Campus Univ, BR-36570900 Vicosa, MG, Brazil.
C3 Universidade Federal de Vicosa
RP da Cunha, DA (corresponding author), Univ Fed Vicosa, Dept Econ Rural, Programa Posgrad Econ Aplicada, Ave Peter Henry Rolfs S-N,Campus Univ, BR-36570900 Vicosa, MG, Brazil.
EM denis.cunha@ufv.br
RI Pires, Marcel/K-5161-2012; Da Cunha, Dênis/L-6029-2013
OI de Matos Carlos, Sabrina/0000-0002-3083-3922; Da Cunha, Denis
   Antonio/0000-0003-4838-3795; Couto, Fabiana/0000-0002-6967-1078
FU Conselho Nacional de Desenvolvimento Cienti'fico e Tecnologico-CNPq
   [408382/2013-9, 306647/2015-0, 421791/2016-0, 305807/2018-8]; Fundacao
   de Amparo a` Pesquisa do Estado de Minas Gerais-FAPEMIG
   [CSA-PPM-00022-14]; CNPq; Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior-CAPES [001]
FX This research was funded by Conselho Nacional de Desenvolvimento Cienti
   ' fico e Tecnologico-CNPq (Grant Nos. 408382/2013-9; 306647/2015-0,
   421791/2016-0 and 305807/2018-8) and by Fundacao de Amparo a` Pesquisa
   do Estado de Minas Gerais-FAPEMIG (CSA-PPM-00022-14) Granted for DAC.
   Scholarships was provided by CNPq to SMC and by Coordenacao de
   Aperfeicoamento de Pessoal de Ni ' vel Superior-CAPES (Finance Code 001)
   to FRCS and MVP. Therefore, the funding sources had no such involvement
   in study design; neither in the collection, analysis and interpretation
   of data; nor in the writing of the report; and in the decision to submit
   the article for publication.
CR Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], 2016, PUBLIC PERCEPTION CL
   [Anonymous], GEOLOGIA BAHIA
   [Anonymous], MUDANCA CLIMA BRASIL
   [Anonymous], 14 WORLD WAT C PORT
   [Anonymous], REV EC SOCIOLOGIA RU
   [Anonymous], RELATORIO DANOS MAT
   [Anonymous], 2015, Human Development Report
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Bursztyn Marcel, 2015, Soc. estado., V30, P471, DOI 10.1590/S0102-699220150002000010
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Da Cunha DA, 2015, ENVIRON DEV ECON, V20, P57, DOI 10.1017/S1355770X14000102
   de Paula FCF, 2010, QUIM NOVA, V33, P70, DOI 10.1590/S0100-40422010000100014
   DENZAU AT, 1994, KYKLOS, V47, P3, DOI 10.1111/j.1467-6435.1994.tb02246.x
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hartter J., 2009, Human Dimensions of Wildlife, V14, P433, DOI 10.1080/10871200902911834
   Hayes A. F., 2018, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
   Higginbotham N, 2014, REG ENVIRON CHANGE, V14, P699, DOI 10.1007/s10113-013-0529-0
   Hosmer D. W., 2000, APPL LOGISTIC REGRES
   Houghton J.T., 2001, CONTRIBUTION WORKING, P1
   Howe PD, 2013, NAT CLIM CHANGE, V3, P352, DOI [10.1038/nclimate1768, 10.1038/NCLIMATE1768]
   IBGE-Instituto Brasileiro de Geografia e Estatistica, 2006, CENS AGR 2006 BRAS G
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Lane D, 2018, RENEW AGR FOOD SYST, V33, P197, DOI 10.1017/S1742170517000710
   Leiserowitz A., 2012, Extreme Weather and Climate Change in the American Mind
   MacKinnon DP, 2007, ANNU REV PSYCHOL, V58, P593, DOI 10.1146/annurev.psych.58.110405.085542
   Maddison D., 2006, The perception of and adaptation to climate change in Africa
   Marengo JA, 2017, THEOR APPL CLIMATOL, V129, P1189, DOI 10.1007/s00704-016-1840-8
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Nelson Gerald C, 2014, Proc Natl Acad Sci U S A, V111, P3274, DOI 10.1073/pnas.1222465110
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Oppenheimer M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1039
   Otto IM, 2017, REG ENVIRON CHANGE, V17, P1651, DOI 10.1007/s10113-017-1105-9
   Persson J, 2015, ENVIRON SCI POLICY, V52, P1, DOI 10.1016/j.envsci.2015.05.001
   Selvaraju R., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P71
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sudmeyer R., 2016, Climate in the Pilbara
   Tol RSJ, 2018, REV ENV ECON POLICY, V12, P4, DOI 10.1093/reep/rex027
   Xavier AC, 2016, INT J CLIMATOL, V36, P2644, DOI 10.1002/joc.4518
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 51
TC 15
Z9 16
U1 3
U2 11
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0343-2521
EI 1572-9893
J9 GEOJOURNAL
JI GeoJournal
PD JUN
PY 2020
VL 85
IS 3
BP 805
EP 821
DI 10.1007/s10708-019-09993-1
PG 17
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA LN5MK
UT WOS:000532981200012
DA 2025-01-10
ER

PT J
AU Liu, BX
   Lund, JR
   Liu, LJ
   Liao, SL
   Cheng, CT
AF Liu, Benxi
   Lund, Jay R.
   Liu, Lingjun
   Liao, Shengli
   Cheng, Chuntian
TI Climate Change Impacts on Hydropower in Yunnan, China
SO WATER
LA English
DT Article
DE climate change; GCMs; hydropower; Lancang River; Jinsha River
ID LANCANG RIVER; ENERGY; RUNOFF; MODELS; HYDROELECTRICITY; ELECTRICITY;
   ALGORITHM; REGIME; BASIN
AB Climate change could have dire effects on hydropower systems, especially in southwest China, where hydropower dominates the regional power system. This study examines two large cascade hydropower systems in Yunnan province in southwest China for 10 climate change projections made with 5 global climate models (GCMs) and 2 representative concentration pathways (RCPs) under Coupled Model Intercomparison Project Phase 5 (CMIP5). First, a back propagation neural network rain-runoff model is built for each hydropower station to estimate inflows with climate change. Then, a progressive optimality algorithm maximizes hydropower generation for each projection. The results show generation increasing in each GCM projection, but increasing more in GCMs under scenario RCP8.5. However, yearly generation fluctuates more: generation decreases dramatically with potential for electricity shortages in dry years and more electricity as well as spill during wet years. Average annual spill, average annual inflow and average storage have similar trends. The analysis indicates that a planned large dam on the upper Jinsha River would increase seasonal regulation ability, increase hydropower generation, and decrease spill. Increased turbine capacity increases generation slightly and decreases spill for the Lancang River. Results from this study demonstrate effects of climate change on hydropower systems and identify which watersheds might be more vulnerable, along with some actions that could help adapt to climate change.
C1 [Liu, Benxi; Liu, Lingjun; Liao, Shengli; Cheng, Chuntian] Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Peoples R China.
   [Liu, Benxi; Liu, Lingjun; Liao, Shengli; Cheng, Chuntian] Dalian Univ Technol, Key Lab Ocean Energy Utilizat & Energy Conservat, Minist Educ, Dalian 116024, Peoples R China.
   [Lund, Jay R.] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA.
C3 Dalian University of Technology; Dalian University of Technology;
   University of California System; University of California Davis
RP Liu, BX (corresponding author), Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Peoples R China.; Liu, BX (corresponding author), Dalian Univ Technol, Key Lab Ocean Energy Utilizat & Energy Conservat, Minist Educ, Dalian 116024, Peoples R China.
EM benxiliu@dlut.edu.cn; jrlund@ucdavis.edu; liulingjun233@163.com;
   shengliliao@dlut.edu.cn; ctcheng@dlut.edu.cn
OI Liu, Benxi/0000-0003-0466-566X
FU China Scholarship Council [201806065023]; National Natural Science
   Foundation of China [51709035, 51979023]; Fundamental Research Funds for
   the Central Universities [DUT19TD32]
FX This research was funded by the China Scholarship Council (Grant No.
   201806065023), the National Natural Science Foundation of China (Grant
   No. 51709035 and 51979023), and the Fundamental Research Funds for the
   Central Universities (Grant No. DUT19TD32).
CR [Anonymous], 2018, NAT EL POW IND STAT
   [Anonymous], 2017, J WATER RES PLAN MAN
   [Anonymous], 2018, WATER SUI, DOI DOI 10.3390/w10020235
   Chen L, 2014, STOCH ENV RES RISK A, V28, P1755, DOI 10.1007/s00477-013-0838-3
   Cheng CT, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000723
   Chilkoti V, 2017, RENEW ENERG, V109, P510, DOI 10.1016/j.renene.2017.02.041
   Conway D, 2017, NAT ENERGY, V2, P946, DOI 10.1038/s41560-017-0037-4
   Dogan M, 2019, THESIS
   Feng ZK, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(ASCE)WR.1943-5452.0000882, 10.1061/(asce)wr.1943-5452.0000882]
   Fernando TMKG, 2009, J HYDROL, V367, P165, DOI 10.1016/j.jhydrol.2008.10.019
   Goharian E, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000579
   Han PF, 2019, REMOTE SENS ENVIRON, V224, P44, DOI 10.1016/j.rse.2019.01.041
   Han ZY, 2019, J HYDROL, V570, P96, DOI 10.1016/j.jhydrol.2018.12.048
   Hecht JS, 2019, J HYDROL, V568, P285, DOI 10.1016/j.jhydrol.2018.10.045
   Henck AC, 2011, EARTH PLANET SC LETT, V303, P71, DOI 10.1016/j.epsl.2010.12.038
   Hennig T, 2016, WATER-SUI, V8, DOI 10.3390/w8100476
   HOWSON HR, 1975, MATH PROGRAM, V8, P104, DOI 10.1007/BF01580431
   Hu YA, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14590
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   International hydropower association (IHA), 2018 HYDR STAT REP
   Jiang ZQ, 2018, ENERGY, V148, P309, DOI 10.1016/j.energy.2018.01.176
   Li FP, 2013, J HYDROL, V505, P188, DOI 10.1016/j.jhydrol.2013.09.052
   Li XZ, 2018, RENEW SUST ENERG REV, V82, P232, DOI 10.1016/j.rser.2017.08.090
   Liu BX, 2018, RENEW ENERG, V121, P700, DOI 10.1016/j.renene.2018.01.090
   Liu N, 2019, J HYDROL, V572, P761, DOI 10.1016/j.jhydrol.2019.03.005
   Liu XC, 2016, HYDROL EARTH SYST SC, V20, P3343, DOI 10.5194/hess-20-3343-2016
   Madani K, 2014, J HYDROL, V510, P153, DOI 10.1016/j.jhydrol.2013.12.001
   Madani K, 2011, ADV WATER RESOUR, V34, P607, DOI 10.1016/j.advwatres.2011.02.009
   Mousavi RS, 2018, WATER-SUI, V10, DOI 10.3390/w10101458
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P67, DOI 10.1007/s10584-013-0890-5
   Prado FA, 2016, RENEW SUST ENERG REV, V53, P1132, DOI 10.1016/j.rser.2015.09.050
   Sample JE, 2015, RENEW SUST ENERG REV, V52, P111, DOI 10.1016/j.rser.2015.07.071
   Shi HY, 2018, INT J CLIMATOL, V38, P2520, DOI 10.1002/joc.5404
   Sridharan V, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08275-7
   STEDINGER JR, 1984, WATER RESOUR RES, V20, P1499, DOI 10.1029/WR020i011p01499
   Thompson JR, 2013, J HYDROL, V486, P1, DOI 10.1016/j.jhydrol.2013.01.029
   TURGEON A, 1981, WATER RESOUR RES, V17, P481, DOI 10.1029/WR017i003p00481
   van Vliet MTH, 2016, NAT CLIM CHANGE, V6, P375, DOI [10.1038/nclimate2903, 10.1038/NCLIMATE2903]
   Wang ZL, 2018, AGR FOREST METEOROL, V249, P149, DOI 10.1016/j.agrformet.2017.12.077
   Wu XY, 2018, J HYDROL, V564, P712, DOI 10.1016/j.jhydrol.2018.07.026
   Xu JW, 2017, INT J CLIMATOL, V37, P657, DOI 10.1002/joc.4731
   Yang SL, 2014, ADV ATMOS SCI, V31, P1209, DOI 10.1007/s00376-014-3119-2
   Yang WJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05060-4
   YIN J, 2018, WATER-SUI, V10, DOI DOI 10.3390/w10070910
   Zhang LL, 2013, J GEOPHYS RES-ATMOS, V118, P8500, DOI 10.1002/jgrd.50665
   Zhang XL, 2016, J CLIMATE, V29, P5355, DOI 10.1175/JCLI-D-15-0603.1
   Zhang X, 2018, RENEW ENERG, V116, P827, DOI 10.1016/j.renene.2017.10.030
   Zhong RD, 2019, ENERGY, V179, P685, DOI 10.1016/j.energy.2019.05.059
NR 48
TC 11
Z9 11
U1 13
U2 86
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JAN
PY 2020
VL 12
IS 1
AR 197
DI 10.3390/w12010197
PG 20
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA KU6TM
UT WOS:000519847200197
OA gold
DA 2025-01-10
ER

PT J
AU Farnworth, CR
   Baudron, F
   Andersson, JA
   Misiko, M
   Badstue, L
   Stirling, CM
AF Farnworth, Cathy Rozel
   Baudron, Frederic
   Andersson, Jens A.
   Misiko, Michael
   Badstue, Lone
   Stirling, Clare M.
TI Gender and conservation agriculture in East and Southern Africa: towards
   a research agenda
SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
LA English
DT Article
DE conservation agriculture; gender; Sub-Saharan Africa; climate change
ID SUB-SAHARAN AFRICA; SMALLHOLDER FARMERS; CROP PRODUCTIVITY; WOMENS
   LABOR; SYSTEMS; TILLAGE; MANAGEMENT; ADOPTION; INTENSIFICATION;
   NUTRITION
AB It is remarkable that despite wide-ranging, in-depth studies over many years, almost no conservation agriculture (CA) studies consider gender and gender relations as a potential explanatory factor for (low) adoption rates. This is important because CA demands new ways of working with the farm system. Implementation will inevitably involve a reallocation of men's and women's resources as well as having an impact upon their ability to realize their gender interests. With respect to intra-household decision-making and the distribution of benefits, CA interventions have implications for labour requirements and labour allocation, investment decisions with respect to mechanization and herbicide use, crop choice, and residue management. CA practice may impact upon the ability of households to source a wide variety of crops, wild plants, and insects and small animals for household nutrition. Gender biases in extension service design can sideline women. This paper examines the limited research to date on the interactions between CA interventions and gender in East and Southern Africa, and, based on the gaps observed, sets out a research agenda. It argues that attention to gender in CA is particularly timely given the increasing interest in CA as a means of adapting to climate change.
C1 [Farnworth, Cathy Rozel] Pandia Consulting, Teigelkamp 64, D-48145 Munster, Germany.
   [Baudron, Frederic; Misiko, Michael] CIMMYT Ethiopia, ILRI, Shola Campus,POB 5689, Addis Ababa, Ethiopia.
   [Andersson, Jens A.] CIMMYT Southern Africa, Royal Trop Inst, Mauritskade 63, NL-1092 AD Amsterdam, Netherlands.
   [Badstue, Lone; Stirling, Clare M.] CIMMYT, Apdo Postal 6-641, Mexico City 06600, DF, Mexico.
C3 CGIAR; International Livestock Research Institute (ILRI); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT)
RP Farnworth, CR (corresponding author), Pandia Consulting, Teigelkamp 64, D-48145 Munster, Germany.
EM cathyfarnworth@hotmail.com
RI Andersson, Jens/G-7984-2011
OI Farnworth, Cathy Rozel/0000-0002-2263-865X; Andersson,
   Jens/0000-0002-8124-3447; Baudron, Frederic/0000-0002-5648-2083; Misiko,
   Michael/0000-0002-5298-4393
FU CGIAR Research Programs (CRPs) on Climate Change, Agriculture and Food
   Security (CCAFS); International Maize and Wheat Improvement Centre
   (CIMMYT)
FX We acknowledge the financial support from CGIAR Research Programs (CRPs)
   on Climate Change, Agriculture and Food Security (CCAFS) and
   International Maize and Wheat Improvement Centre (CIMMYT) for synthesis
   of this work.
CR Aklilu N., 2014, AFRI J AGR EC RURAL, V2, P138
   AMIN S, 1972, J PEACE RES, V9, P105, DOI 10.1177/002234337200900201
   Andersson J., 2012, CONTESTED AGRONOMY A
   Andersson JA, 2006, AFR AFFAIRS, V105, P375, DOI 10.1093/afraf/adi128
   Andersson JA, 2014, AGR ECOSYST ENVIRON, V187, P116, DOI 10.1016/j.agee.2013.08.008
   [Anonymous], 2013, MEAS DISCUSSION PAPE
   [Anonymous], 1988, DAIRYING SETTLED FUL
   [Anonymous], 2011, The State of Food and Agriculture
   [Anonymous], ISS GEND IN MDGS WHA
   [Anonymous], 2012, WHAT IS CONS AGR
   [Anonymous], YOUNG PEOPL FARM FOO
   [Anonymous], 2008, Gender in Agriculture Sourcebook
   [Anonymous], 2012, WOMENS RIGHTS RIGHT
   [Anonymous], 2012, CHALL CHAINS CHANG G
   [Anonymous], 2015, WORLDS WOMEN 2015 TR
   Anriquez G., 2010, 1003 ESA FAO
   Araya T, 2012, FIELD CROP RES, V132, P53, DOI 10.1016/j.fcr.2011.12.009
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Ashworth A, 1998, EUR J CLIN NUTR, V52, pS34
   Ayieko M, 1997, 7 UNDP
   Barnett Tony, 2005, Afr J AIDS Res, V4, P139, DOI 10.2989/16085900509490353
   Baudron F., 2007, Conservation agriculture in Zambia: a case study of Southern Province. Nairobi
   Baudron F., 2011, THESIS WAGENINGEN U
   Baudron F., 2014, P AGR AFR INT C 3 7
   Baudron F, 2015, FOOD SECUR, V7, P889, DOI 10.1007/s12571-015-0476-3
   Baudron F, 2012, J DEV STUD, V48, P393, DOI 10.1080/00220388.2011.587509
   Baudron F, 2012, FIELD CROP RES, V132, P117, DOI 10.1016/j.fcr.2011.09.008
   Berti PR, 2004, PUBLIC HEALTH NUTR, V7, P599, DOI 10.1079/PHN2003595
   Beuchelt TD, 2013, FOOD SECUR, V5, P709, DOI 10.1007/s12571-013-0290-8
   Bharucha Z, 2010, PHILOS T R SOC B, V365, P2913, DOI 10.1098/rstb.2010.0123
   Bishop-Sambrook C., 2004, Conservation agriculture as a labor saving practice for vulnerable households
   Boahen P, 2007, Conservation agriculture as practised in Ghana
   Brems S., 1989, EATING PREGNANCY NUT
   Chauhan BS, 2012, CROP PROT, V38, P57, DOI 10.1016/j.cropro.2012.03.010
   CHAUNCEY G, 1981, J S AFR STUD, V7, P135, DOI 10.1080/03057078108708024
   Chiwona-Karltun L, 1998, ECOL FOOD NUTR, V37, P219, DOI 10.1080/03670244.1998.9991546
   Christiansen Catrine, 2005, Afr J AIDS Res, V4, P173, DOI 10.2989/16085900509490356
   Concern Universal, 2011, CONS AGR RES STUD 20
   Concern Worldwide, 2013, EMP WOM CONS AGR RHE
   Cooper E, 2012, DEV POLICY REV, V30, P641, DOI 10.1111/j.1467-7679.2012.00592.x
   Crush J., 2000, Canadian Journal of African Studies, V34, P1, DOI 10.2307/486103
   Crush J.S., 1991, S AFRICAS LABOR EMPI, DOI DOI 10.1186/1471-2148-7-214
   Dendooven L, 2012, AGR ECOSYST ENVIRON, V152, P50, DOI 10.1016/j.agee.2012.02.010
   Dixon JA, 2001, FARMING SYSTEMS POVE
   Dodson B., MIGRATION POLICY SER, V49
   Dolan C., 2003, GENDER EMPLOYMENT HI
   Doss C. R., 1999, CIMMYT Economics Program Paper No. 99-02
   Doss C.R., 2012, Women's Economic Empowerment in Agriculture: Supporting women farmers
   Doss CherylR., 2013, Gender Inequalities in Ownership and Control of Land in Africa: Myths versus Reality
   Ekbom A., 2010, WORKING PAPERS EC DE, V143
   Erenstein O, 2003, AGR ECOSYST ENVIRON, V100, P17, DOI 10.1016/S0167-8809(03)00150-6
   FAO, 2004, HIV AIDS GEND IN RUR
   FAO/WFP, 2009, STAT FOOD INS WORLD
   Farnworth C.R., 2015, Journal of Gender. Agriculture and Food Security, V1, P20
   Farnworth C. R., 2012, KENYA GENDER ANAL AC
   Flinton F., 2007, GENDER PASTORALISM, V2
   Fontana M., 2009, FAO IFAD ILO WORKSH
   Gabrielsson S., 2012, J CLEAN PROD, V60, P34
   Gebregziabher S, 2006, SOIL TILL RES, V89, P129, DOI 10.1016/j.still.2005.08.010
   Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017
   Govaerts B, 2009, CRIT REV PLANT SCI, V28, P97, DOI 10.1080/07352680902776358
   Gyasi EdwinA., 1997, Environment, Biodiversity and Agricultural Change in West Africa
   Haddad L., 2003, Economic Development and Cultural Change, V51, P573
   Haggblade S., 2003, 108 EPTD
   Hellin J, 2013, FIELD CROP RES, V153, P12, DOI 10.1016/j.fcr.2013.05.014
   Herrera JM, 2013, CROP SCI, V53, P1845, DOI 10.2135/cropsci2013.01.0071
   Hindin MJ, 2006, PUBLIC HEALTH NUTR, V9, P485, DOI 10.1079/PHN2005865
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Hoogmoed W. B., 2003, INT P 16 INT SOIL TI
   Howson ChristopherP., 1996, In Her Lifetime: Female Morbidity and Mortality in Sub-Saharan Africa
   Jaleta M., 2012, INT ASS AGR EC 2012
   Johansen C, 2012, FIELD CROP RES, V132, P18, DOI 10.1016/j.fcr.2011.11.026
   JONES C, 1983, AM J AGR ECON, V65, P1049, DOI 10.2307/1240417
   Kaumbutho P., 2007, CONSERVATION AGR PRA
   Kristjanson P., 2010, 20 ILRI, DOI 10.1023/A:1006447915074.
   Kruger M., 2014, ENV ANALYTICAL TOXIC, V4, P1000210, DOI DOI 10.4172/2161-0525.1000210
   Lai C, 2012, INT FOOD AGRIBUS MAN, V15, P73
   Lastarria-Cornhiel S., 2006, Feminization of agriculture: Trends and driving forces Background Paper
   Leavy J., 2014, 439 IDS
   Luke N, 2011, J DEV ECON, V94, P1, DOI 10.1016/j.jdeveco.2010.01.002
   Maal B., 2011, REPORT FACT FINDING
   Marongwe LS, 2011, INT J AGR SUSTAIN, V9, P153, DOI 10.3763/ijas.2010.0556
   Mashingaidze N., 2012, African Journal of Agricultural Research, V7, P5069
   Mashingaidze N., 2009, Journal of SAT Agricultural Research, V7, P1
   McDonald D., 2000, On borders: Perspectives on international migration in Southern Africa
   Milder J. C., 2011, 6 EC
   Momsen Janet., 2010, Gender and Development, V2nd
   MPI, 2014, RIGHTING ILLS BUDGET
   Mrema G.C., 2008, AGR MECH SUBSAHARAN
   Mtshali S.M., 2002, Household Livelihood Security in Rural KwaZulu-Natal, South Africa
   Munachonga M., 2010, DRAFT ZAMBIA C UNPUB
   Muoni T, 2014, CROP PROT, V66, P1, DOI 10.1016/j.cropro.2014.08.008
   Ngoma H., 2013, 4 INT C AFR ASS AGR
   Ngwira A, 2014, J SOIL WATER CONSERV, V69, P107, DOI 10.2489/jswc.69.2.107
   Niang I., 2014, CLIMATECHANGE 2014 B
   Njuki J. M., 2004, International Journal of Agricultural Resources, Governance and Ecology, V3, P154, DOI 10.1504/IJARGE.2004.004650
   Nyanga P. H., 2012, Journal of Food Research, V1, P120
   Nyanga P. H., 2012, Sustainable Agriculture Research, V1, P27
   Nyanga P.H., 2012, International Journal of Technology and Development Studies, V3, P1
   O'Laughlin B, 1998, J PEASANT STUD, V25, P1, DOI 10.1080/03066159808438665
   Oleke C, 2005, SOC SCI MED, V61, P2628, DOI 10.1016/j.socscimed.2005.04.048
   Oyugi W., 2000, DPMF OSSREA C AFR CO
   Pittelkow CM, 2015, NATURE, V517, P365, DOI 10.1038/nature13809
   Powlson DS, 2014, NAT CLIM CHANGE, V4, P678, DOI 10.1038/NCLIMATE2292
   Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583
   Quisumbing A. R., 2014, 01321 IFPRI
   Ragasa C, 2013, J AGRIC EDUC EXT, V19, P437, DOI 10.1080/1389224X.2013.817343
   Rao A., 2014, Levelling the field: Improving opportunities for women farmers in Africa, V1
   Richard S, 2005, ENVIRON HEALTH PERSP, V113, P716, DOI 10.1289/ehp.7728
   Rubalcava L, 2009, ECON DEV CULT CHANGE, V57, P507, DOI 10.1086/596617
   Rush D, 2000, AM J CLIN NUTR, V72, p212S, DOI 10.1093/ajcn/72.1.212S
   Rusinamhodzi L, 2015, FIELD CROP RES, V170, P66, DOI 10.1016/j.fcr.2014.10.006
   Rusinamhodzi L, 2011, AGRON SUSTAIN DEV, V31, P657, DOI 10.1007/s13593-011-0040-2
   Shiundu K.M., 2007, Afr J Food Agric Nutr Dev, V7, P1, DOI [10.18697/ajfand.15.IPGRI2-8, DOI 10.18697/AJFAND.15.IPGRI2-8]
   Sikana P., 1991, IMPACT COMMERCIALISA
   Slingo JM, 2005, PHILOS T R SOC B, V360, P1983, DOI 10.1098/rstb.2005.1755
   Tegebu FN, 2012, TROP ANIM HEALTH PRO, V44, P133, DOI 10.1007/s11250-011-9900-7
   Temesgen M, 2009, SOIL TILL RES, V104, P185, DOI 10.1016/j.still.2008.10.026
   Thierfelder C, 2010, J CROP IMPROV, V24, P113, DOI 10.1080/15427520903558484
   Thierfelder C, 2015, SOIL TILL RES, V146, P230, DOI 10.1016/j.still.2014.10.015
   Thierfelder C, 2012, FIELD CROP RES, V137, P237, DOI 10.1016/j.fcr.2012.08.017
   Torell E., 2007, Guidelines for Mitigating the Impacts of HIV/AIDS on Coastal Biodiversity and Natural Resource Management
   Torkelsson A., 2008, Eur. J. Dev. Res., V20, P462, DOI 10.1080/09578810802237623
   Tshuma N., 2012, Journal of Sustainable Development in Africa, V14, P107
   Turmel MS, 2015, AGR SYST, V134, P6, DOI 10.1016/j.agsy.2014.05.009
   Udry C, 1996, J POLIT ECON, V104, P1010, DOI 10.1086/262050
   Umar BB, 2012, J SUSTAIN AGR, V36, P908, DOI 10.1080/10440046.2012.661700
   UNEP, 2013, EM GAP REP 2013 UN E
   USAID Kenya, 2013, YES YOUTH CAN MWAMK
   Valbuena D, 2012, FIELD CROP RES, V132, P175, DOI 10.1016/j.fcr.2012.02.022
   Verhulst N, 2012, CLIMATE CHANGE MITIGATION AND AGRICULTURE, P287
   Wall PC, 2007, J CROP IMPROV, V19, P137, DOI 10.1300/J411v19n01_07
   WOLPE H, 1972, ECON SOC, V1, P425, DOI 10.1080/03085147200000023
   Word Bank, 2008, WORLD DEV REP AGR DE
   Yisehak K., 2008, Livestock Research for Rural Development, V20, P20011
NR 135
TC 60
Z9 65
U1 2
U2 37
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1473-5903
EI 1747-762X
J9 INT J AGR SUSTAIN
JI Int. J. Agric. Sustain.
PY 2016
VL 14
IS 2
BP 142
EP 165
DI 10.1080/14735903.2015.1065602
PG 24
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA DL8TV
UT WOS:000375915500002
DA 2025-01-10
ER

PT J
AU Krakauer, NY
AF Krakauer, Nir Y.
TI Economic Growth Assumptions in Climate and Energy Policy
SO SUSTAINABILITY
LA English
DT Article
DE climate policy; energy policy; global warming; optimization; economic
   growth
ID TECHNOLOGICAL-CHANGE; FUTURE; STABILIZATION; RISK; RESOURCES; SCENARIOS;
   PATHWAY
AB The assumption that the economic growth seen in recent decades will continue has dominated the discussion of future greenhouse gas emissions and the mitigation of and adaptation to climate change. Given that long-term economic growth is uncertain, the impacts of a wide range of growth trajectories should be considered. In particular, slower economic growth would imply that future generations will be relatively less able to invest in emissions controls or adapt to the detrimental impacts of climate change. Taking into consideration the possibility of economic slowdown therefore heightens the urgency of reducing greenhouse gas emissions now by moving to renewable energy sources, even if this incurs short-term economic cost. I quantify this counterintuitive impact of economic growth assumptions on present-day policy decisions in a simple global economy-climate model (Dynamic Integrated model of Climate and the Economy (DICE)). In DICE, slow future growth increases the economically optimal present-day carbon tax rate and the utility of taxing carbon emissions, although the magnitude of the increase is sensitive to model parameters, including the rate of social time preference and the elasticity of the marginal utility of consumption. Future scenario development should specifically include low-growth scenarios, and the possibility of low-growth economic trajectories should be taken into account in climate policy analyses.
C1 [Krakauer, Nir Y.] CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA.
   [Krakauer, Nir Y.] CUNY City Coll, NOAA CREST, New York, NY 10031 USA.
C3 City University of New York (CUNY) System; City College of New York
   (CUNY); City University of New York (CUNY) System; City College of New
   York (CUNY); National Oceanic Atmospheric Admin (NOAA) - USA
RP Krakauer, NY (corresponding author), CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA.
EM nkrakauer@ccny.cuny.edu
RI Krakauer, Nir/AAB-3199-2022
FU National Oceanic and Atmospheric Administration (NOAA) Climate and
   Global Change postdoctoral fellowship; NOAA [NA11SEC4810004,
   NA12OAR4310084]; Divn Of Social and Economic Sciences; Direct For
   Social, Behav & Economic Scie [0931402] Funding Source: National Science
   Foundation; Divn Of Social and Economic Sciences; Direct For Social,
   Behav & Economic Scie [0932916] Funding Source: National Science
   Foundation
FX I am grateful to Steven Schneider and participants in the Dissertations
   Initiative for the Advancement of Climate Change Research (DISCCRS) III
   symposium and the 2009 Santa Fe Institute Global Sustainability Summer
   School for inspiration and valuable discussions; and to Maximillian
   Auffhammer, Inez Fung, Boris Fain, Zachary Subin, Alexander Stine and
   Margaret Torn for critical reviews and suggestions. This work was
   supported by a National Oceanic and Atmospheric Administration (NOAA)
   Climate and Global Change postdoctoral fellowship and by NOAA grants
   NA11SEC4810004 and NA12OAR4310084. All statements made are the views of
   the author and not the opinions of the funders or the U.S. government.
CR Acemoglu D., 2009, Introduction to modern economic growth
   Ackerman F, 2006, CLIM POLICY, V6, P509
   Ambrosi P, 2010, INT SER OPER RES MAN, V138, P177, DOI 10.1007/978-1-4419-1129-2_6
   Azar C, 1996, ECOL ECON, V19, P169, DOI 10.1016/0921-8009(96)00065-1
   Barro RJ, 2008, AM ECON REV, V98, P58, DOI 10.1257/aer.98.2.58
   BECKERMAN W, 1992, WORLD DEV, V20, P481, DOI 10.1016/0305-750X(92)90038-W
   Chakravorty U, 1997, J POLIT ECON, V105, P1201, DOI 10.1086/516390
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Cohen A, 2007, AM ECON REV, V97, P745, DOI 10.1257/aer.97.3.745
   Cole MA., 1997, ENVIRON DEV ECON, V2, P401, DOI DOI 10.1017/S1355770X97000211
   Duval R, 2010, J POLICY MODEL, V32, P64, DOI 10.1016/j.jpolmod.2009.10.001
   Ebi KL, 2014, CLIMATIC CHANGE, V122, P363, DOI 10.1007/s10584-013-0912-3
   Edenhofer O, 2006, ENERG J, P57
   Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747
   Farrell AE, 2006, ENVIRON RES LETT, V1, DOI 10.1088/1748-9326/1/1/014004
   Fiddaman TS, 2002, SYST DYNAM REV, V18, P243, DOI 10.1002/sdr.241
   Grübler A, 1999, ENERG POLICY, V27, P247, DOI 10.1016/s0301-4215(98)00067-6
   Hall RE, 2007, Q J ECON, V122, P39, DOI 10.1162/qjec.122.1.39
   Harbaugh WT, 2002, REV ECON STAT, V84, P541, DOI 10.1162/003465302320259538
   HOLTZEAKIN D, 1995, J PUBLIC ECON, V57, P85, DOI 10.1016/0047-2727(94)01449-X
   IIASA, SSP DAT VERS 0 93
   Jones CI, 2010, AM ECON J-MACROECON, V2, P224, DOI 10.1257/mac.2.1.224
   Keller K, 2004, J ENVIRON ECON MANAG, V48, P723, DOI 10.1016/j.jeem.2003.10.003
   Koh LP, 2007, NATURE, V448, P993, DOI 10.1038/448993a
   Leggett J., 1992, CLIMATE CHANGE 1992, P69
   LUCAS DJ, 1994, J MONETARY ECON, V34, P325, DOI 10.1016/0304-3932(94)90022-1
   Maddison A., 2006, WORLD ECON
   Malanima P, 2011, EUR REV ECON HIST, V15, P169, DOI 10.1017/S136149161000016X
   Masui T, 2011, CLIMATIC CHANGE, V109, P59, DOI 10.1007/s10584-011-0150-5
   Nakicenovic N., 2000, Special report on emissions scenarios. a 149 special report of working group III of the intergovernmental panel on climate change, P599
   Newell RG, 2004, ENERG POLICY, V32, P519, DOI 10.1016/S0301-4215(03)00153-8
   Nordhaus W., 2007, ACCOMPANYING NOTES D
   Nordhaus W., NOTES RUN DICE MODEL
   NORDHAUS WD, 1992, SCIENCE, V258, P1315, DOI 10.1126/science.258.5086.1315
   Nordhaus WD, 2001, SCIENCE, V294, P1283, DOI 10.1126/science.1065007
   Nordhaus WD, 2007, J ECON LIT, V45, P686, DOI 10.1257/jel.45.3.686
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   OBSTFELD M, 1994, EUR ECON REV, V38, P1471, DOI 10.1016/0014-2921(94)90020-5
   Pielke R, 2008, NATURE, V452, P531, DOI 10.1038/452531a
   Popp D, 2004, J ENVIRON ECON MANAG, V48, P742, DOI 10.1016/j.jeem.2003.09.002
   Rabl A, 1996, ECOL ECON, V17, P137
   Raupach MR, 2007, P NATL ACAD SCI USA, V104, P10288, DOI 10.1073/pnas.0700609104
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   SCHELLING TC, 1992, AM ECON REV, V82, P1
   Schneider SH, 2004, GLOBAL ENVIRON CHANG, V14, P245, DOI 10.1016/j.gloenvcha.2004.04.008
   SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031
   Shen YJ, 2008, HYDROLOG SCI J, V53, P11, DOI 10.1623/hysj.53.1.11
   SOLOW RM, 1956, Q J ECON, V70, P65, DOI 10.2307/1884513
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   Tokimatsu Koji, 2012, Environment Development and Sustainability, V14, P915, DOI 10.1007/s10668-012-9360-x
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Warren R, 2013, CLIMATIC CHANGE, V120, P55, DOI 10.1007/s10584-013-0814-4
   Weitzman ML, 2007, J ECON LIT, V45, P703, DOI 10.1257/jel.45.3.703
   Weitzman ML, 1998, J ENVIRON ECON MANAG, V36, P201, DOI 10.1006/jeem.1998.1052
   WHAPLES R, 1995, J ECON HIST, V55, P139, DOI 10.1017/S0022050700040602
NR 57
TC 4
Z9 4
U1 2
U2 44
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2014
VL 6
IS 3
BP 1448
EP 1461
DI 10.3390/su6031448
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA AE0SC
UT WOS:000333675500018
OA gold
DA 2025-01-10
ER

PT J
AU Swain, DK
   Yadav, A
AF Swain, D. K.
   Yadav, A.
TI Simulating the Impact of Climate Change on Rice Yield Using CERES-Rice
   Model
SO JOURNAL OF ENVIRONMENTAL INFORMATICS
LA English
DT Article
DE adaptation; CERES-rice model; climate change; rice yield; simulation
ID ELEVATED CO2; TEMPERATURE; KERALA
AB Rice (Oryza sativa L.) is the second most important food grain after wheat in World. A decline in productivity of rice in recent years has been ascribed to decrease in soil organic carbon and reserve of nutrients, non-uniform distribution of rainfall, and increase in temperature because of climate change. To assess the impact of climate change on rice yield, crop simulation model CERES-rice was calibrated and well evaluated for medium and long duration varieties through field experimental data at Kharagpur, India. Using past 27 years (1974-2000) weather data, the CERES-Rice model predicted higher yield variability of the long duration (140 days) variety 'Swama' as compared to the medium duration (120 days) verities (IR 36 and Lalat) under rainfed condition of Kharagpur, India. However the highest mean yield was simulated for the variety Swama. With increase in atmospheric CO2 level by 100 ppm, the grain yield of rice was increased up to 6% under optimum supply of water and nutrients. Increase in average air temperature by 20 degrees C resulted a decline in yield of both the medium duration varieties but an increase in yield of the long duration variety. The long duration variety showed better adaptability to climate change than the medium duration varieties under optimum input management condition.
C1 [Swain, D. K.; Yadav, A.] Indian Inst Technol, Agr & Food Engn Dept, Kharagpur 721302, W Bengal, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur
RP Swain, DK (corresponding author), Indian Inst Technol, Agr & Food Engn Dept, Kharagpur 721302, W Bengal, India.
EM swain@agfe.iitkgp.ernet.in
RI Swain, Dillip/V-7909-2019
OI Swain, Dillip/0000-0001-9883-3307
CR Aggarwal P., 2003, Journal of Plant Biology, V30, P189
   [Anonymous], 1984, Statistical Procedures for Agricultural Research with Emphasis on Rice
   [Anonymous], 1995, NITROGEN MANAGEMENT
   [Anonymous], 2003, American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America,
   [Anonymous], 2006, REV EC CLIMATE CHANG
   BAKER JT, 1992, J EXP BOT, V43, P959, DOI 10.1093/jxb/43.7.959
   Baker JT, 2000, GLOBAL CHANGE BIOL, V6, P275, DOI 10.1046/j.1365-2486.2000.00306.x
   *HADL CTR, 2006, EFF CLIM CHANG DEV C
   Hunt LA, 1998, SYST APPR S, V7, P9
   Jackson M.L., 1964, SOIL CHEM ANAL
   Jackson ML., 1973, Soil chemical analysis: advanced course, DOI DOI 10.1002/JPLN.19590850311
   Jansen DM, 1989, SIMULATION ECOPHYSIO, P271
   Kim HY, 2003, GLOBAL CHANGE BIOL, V9, P826, DOI 10.1046/j.1365-2486.2003.00641.x
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   Krishnan P, 2007, AGR ECOSYST ENVIRON, V122, P233, DOI 10.1016/j.agee.2007.01.019
   MACROBERT JF, 1998, UNDERSTANDING OPTION
   Muchow R.C., 1991, CLIMATIC RISK CROP P
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Pathak H, 2003, FIELD CROP RES, V80, P223, DOI 10.1016/S0378-4290(02)00194-6
   Patil SK, 2001, FIELD CROP RES, V70, P185, DOI 10.1016/S0378-4290(01)00135-6
   Ritchie JT, 1998, SYST APPR S, V7, P79
   ROTTY RM, 1986, CHANGING CARBON CYCL, P474
   Saseendran SA, 1998, AGRON J, V90, P185, DOI 10.2134/agronj1998.00021962009000020011x
   Saseendran SA, 2000, CLIMATIC CHANGE, V44, P495, DOI 10.1023/A:1005542414134
   SINGH U, 1995, ASA SPEC P, P99
   Singh U., 1993, J AGRIC METEOROL, V48, P819, DOI [10.2480/agrmet.48.819, DOI 10.2480/AGRMET.48.819]
   SUBBIAH B. V., 1956, CURRENT SCI, V25, P259
   SWAIN DK, 2005, J MT SCI-ENGL, V2, P329, DOI DOI 10.1007/BF02918406
   TSUJI GY, 1994, DSSAT V3 DECISION SU, V1
   WILKINSON CE, 2000, RICE PRODUCTION HDB, P51
   Yoshida S., 1976, Laboratory Manual for Plant Physiological Studies of Rice, Ed, V3
NR 31
TC 10
Z9 10
U1 7
U2 59
PU INT SOC ENVIRON INFORM SCI
PI REGINA
PA 4246 ALBERT ST, REGINA, SASKATCHEWAN S4S 3R9, CANADA
SN 1726-2135
EI 1684-8799
J9 J ENVIRON INFORM
JI J. Environ. Inform.
PD JUN
PY 2009
VL 13
IS 2
BP 104
EP 110
DI 10.3808/jei.200900145
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 545LW
UT WOS:000273734700004
OA Bronze
DA 2025-01-10
ER

PT J
AU Droogers, P
AF Droogers, P
TI Adaptation to climate change to enhance food security and preserve
   environmental quality: example for southern Sri Lanka
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE food security; climate change; modeling; spatial scales
ID MODEL; SIMULATION; MANAGEMENT
AB Adaptation strategies to climate change have been explored using a linked field-scale basin-scale modeling framework for Walawe basin, Sri Lanka. An integrated approach was followed concentrating on enhancement of food security and preservation of environmental quality. Climate change projections were extracted from the Hadley Climate Center (HadCM3) coupled global circulation model (GCM). Impact and adaptation strategies were evaluated with a coupled modeling framework based on the soil-water-atmosphere-plant (SWAP) field scale model and the water and salinity basin model (WSBM) basin scale model. Three time periods were considered where the 1961-1990 period was used to adjust climate change projections to local conditions and to provide a reference to compare expected changes in the near future (2010-2039) and distant future (2070-2099). The overall impact of climate change on food security and environmental quality appears to be positive as a result of enhanced crop growth due to higher CO2 levels and a small increase in precipitation. However, extremes will be more profound in the future, making adaptation strategies necessary. Results from the modeling framework have been presented in a format accessible to water resources managers and policy makers to enable them to make sound decisions on the required adaptation strategies. (C) 2003 Elsevier B.V. All rights reserved.
C1 FutureWater, NL-6823 DH Arnhem, Netherlands.
RP FutureWater, Eksterstr 7, NL-6823 DH Arnhem, Netherlands.
EM p.droogers@futurewater.nl
RI Droogers, Peter/A-6370-2013
CR ALCARNO J, 1997, A9701 U KASS CTR ENV
   [Anonymous], 2003, UN WORLD SUMMARY WOR, P36
   Bouwer H, 2000, AGR WATER MANAGE, V45, P217, DOI 10.1016/S0378-3774(00)00092-5
   Doorenbos J., 1979, FAO Irrigat. Drainage Paper 33
   Droogers P., 1999, Irrigation and Drainage Systems, V13, P275, DOI 10.1023/A:1006345724659
   Droogers P, 2001, IRRIG DRAIN, V50, P335, DOI 10.1002/ird.25
   DROOGERS P, 2003, WATER FOOD CLIMATE I
   DROOGERS P, 2001, 20 IWMI INT WAT MAN
   DROOGERS P, 2003, IN PRESS CLIMATE CHA
   DROOGERS P, 2003, FIELD SCALE ADAPTATI
   FAO, 2002, FOOD INS PEOPL LIV H
   Feddes R. A., 1978, SIMULATION FIELD WAT
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   IMBULANA KAU, 2002, WORLD WAT ASS PROGR, P285
   *IPCC, 1997, IPCC SPEC REP REG IM
   IPCC, 2003, INT PAN CLIM CHANG
   *IPCC WG I, 2001, CLIM CHANG SCI BAS C
   KABAT P, 2002, CLIM CHANG WAT RUL
   Pereira LS, 2002, AGR WATER MANAGE, V57, P175, DOI 10.1016/S0378-3774(02)00075-6
   SHIKLOMANOV IA, 2003, IN PRESS WORLD WAT R
   STEWART JL, 1997, PRWG151 UT STAT U UT
   Van Dam J.C., 1997, 45 WAG AGR U DLO WIN
   VANDIEPEN CA, 1989, SOIL USE MANAGE, V5, P16, DOI 10.1111/j.1475-2743.1989.tb00755.x
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   *WEAP, 2002, WAT EV PLANN SYST
   WOLDEGEORGIS T, 1997, INTERNET J AFRICAN S, V1
NR 26
TC 48
Z9 56
U1 0
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD APR 1
PY 2004
VL 66
IS 1
BP 15
EP 33
DI 10.1016/j.agwat.2003.09.005
PG 19
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA 802LU
UT WOS:000220165800002
DA 2025-01-10
ER

PT J
AU Fabri, C
   Vermeulen, S
   Van Passel, S
   Schaub, S
AF Fabri, Charlotte
   Vermeulen, Sam
   Van Passel, Steven
   Schaub, Sergei
TI Crop diversification and the effect of weather shocks on Italian
   farmers' income and income risk
SO JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE climate change adaptation; crop diversification; income risk; Italian
   agriculture; risk mitigation
ID CLIMATE-CHANGE; VARIETY DIVERSITY; GENETIC DIVERSITY; AGRICULTURE;
   MANAGEMENT; VARIABILITY; ADAPTATION; RESILIENCE; BIODIVERSITY; IMPACT
AB Agriculture is vulnerable to extreme weather shocks. Climate change increases both the frequency and the intensity of such shocks. To safeguard farmers' income and food production, climate adaptation measures are required. This article aims to examine the effectiveness of crop diversification as an adaptation measure, using Italy as a case study. We apply a control function approach to a panel dataset of 20,790 Italian farms, which considers (i) the crop diversification decision and (ii) the influence of crop diversification on farmers' levels of crop income and income risk. We find that, while specialisation can increase income, crop diversification reduces income risk most effectively when growing four different crops. At this level of diversification, income risk is approximately 29% lower as opposed to monoculture farming. Although the Common Agricultural Policy's greening payments for crop diversification make sense from an ecological and risk-reducing point of view, we find that they are potentially insufficient to cover the loss of expected crop income from diversification. While crop diversification reduces income risk in general, we find no specific benefit in terms of weather shock-induced risks. This may be because a price increase following a weather shock buffers its adverse effect. However, identifying the reasons requires further research.
C1 [Fabri, Charlotte; Vermeulen, Sam; Van Passel, Steven] Univ Antwerp, Dept Engn Management, Prinsstr 13, B-2000 Antwerp, Belgium.
   [Schaub, Sergei] Agroscope, Managerial Econ, Ettenhausen, Switzerland.
C3 University of Antwerp; Swiss Federal Research Station Agroscope
RP Fabri, C (corresponding author), Univ Antwerp, Dept Engn Management, Prinsstr 13, B-2000 Antwerp, Belgium.
EM charlotte.fabri@uantwerpen.be
RI schaub, sergei/ABH-6867-2020; Fabri, Charlotte/ITW-0506-2023
OI Fabri, Charlotte/0000-0001-8927-4339; Vermeulen,
   Sam/0000-0002-8837-6701; Van Passel, Steven/0000-0002-6971-9246
CR Abson D.J., 2013, AGR FOOD SECURITY, V2, P1, DOI DOI 10.1186/2048-7010-2-2
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   [Anonymous], 2004, Risk Analysis in Theory and Practice
   [Anonymous], 2013, Regulation (EU) No 603/2013 of the European Parliament and of the Council of
   [Anonymous], 1964, The Mathematical Theory of Communication
   Antle J.M., 1983, Journal of Business Economic Statistics, V1, P192, DOI DOI 10.1080/07350015.1983.10509339
   Antle JM, 2010, AM J AGR ECON, V92, P1294, DOI 10.1093/ajae/aaq077
   Arulampalam W, 2009, J DEV ECON, V88, P103, DOI 10.1016/j.jdeveco.2008.01.001
   Asfaw S, 2018, WORLD DEV, V101, P219, DOI 10.1016/j.worlddev.2017.09.004
   Auci S, 2021, EUR REV AGRIC ECON, V48, P1074, DOI 10.1093/erae/jbab039
   Auci S, 2020, ECON POLIT-ITALY, V37, P381, DOI 10.1007/s40888-020-00172-x
   Baumgärtner S, 2007, NAT RESOUR MODEL, V20, P87, DOI 10.1111/j.1939-7445.2007.tb00202.x
   Beillouin D, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4449
   Billor N, 2000, COMPUT STAT DATA AN, V34, P279, DOI 10.1016/S0167-9473(99)00101-2
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   Bozzola M, 2021, EUR REV AGRIC ECON, V48, P477, DOI 10.1093/erae/jbaa021
   Bozzola M, 2020, WORLD DEV, V135, DOI 10.1016/j.worlddev.2020.105065
   Bozzola M, 2018, EUR REV AGRIC ECON, V45, P57, DOI 10.1093/erae/jbx023
   Bozzola M, 2014, ENVIRON SCI POLICY, V43, P26, DOI 10.1016/j.envsci.2013.12.002
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bradshaw B, 2004, J RURAL STUD, V20, P35, DOI 10.1016/S0743-0167(03)00033-0
   Brunetti M, 2004, GLOBAL PLANET CHANGE, V40, P141, DOI 10.1016/S0921-8181(03)00104-8
   Cameron AC, 2011, J BUS ECON STAT, V29, P238, DOI 10.1198/jbes.2010.07136
   Caswell M., 2001, ADOPTION AGR PRODUCT
   Chamberlin J, 2016, AM J AGR ECON, V98, P1507, DOI 10.1093/ajae/aaw021
   Dalhaus T, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64806-7
   de Roest K, 2018, J RURAL STUD, V59, P222, DOI 10.1016/j.jrurstud.2017.04.013
   DG AGRI, 2009, RICC 1500 REV3
   Di Falco S, 2005, ECOL ECON, V55, P459, DOI 10.1016/j.ecolecon.2004.12.005
   Di Falco S, 2003, SCOT J POLIT ECON, V50, P207, DOI 10.1111/1467-9485.5002006
   Di Falco S, 2008, LAND ECON, V84, P83, DOI 10.3368/le.84.1.83
   Di Falco S, 2007, AGR ECON-BLACKWELL, V36, P147, DOI 10.1111/j.1574-0862.2007.00194.x
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Di Falco S, 2010, LAND USE POLICY, V27, P763, DOI 10.1016/j.landusepol.2009.10.007
   Diotallevi F., 2015, AGR FOOD ECON, V3, P17, DOI [10.1186/s40100-015-0036-3, DOI 10.1186/S40100-015-0036-3]
   El Benni N, 2013, J DAIRY SCI, V96, P936, DOI 10.3168/jds.2012-5695
   Estrada J., 2007, INT REV ECON FINANC, V16, P169, DOI [10.1016/j.iref.2005.03.003, DOI 10.1016/J.IREF.2005.03.003]
   European Commission, 2023, SUSTAINABLE LAND USE
   Feliciano D, 2019, SUSTAIN DEV, V27, P795, DOI 10.1002/sd.1923
   Finger R, 2018, EUR REV AGRIC ECON, V45, P641, DOI 10.1093/erae/jby012
   Food and Agriculture Organization of the United Nations (FAO), 2017, The world programme for the census of agriculture 2020 food & agriculture organization, rome
   Frison E.A., 2016, UNIFORMITY DIVERSITY
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   Giller KE, 2021, FOOD SECUR, V13, P1073, DOI 10.1007/s12571-021-01184-6
   Hufnagel J, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00617-4
   Iyer P, 2020, J AGR ECON, V71, P3, DOI 10.1111/1477-9552.12325
   Jarvis DI, 2008, P NATL ACAD SCI USA, V105, P5326, DOI 10.1073/pnas.0800607105
   Joshi P. K., 2004, Economic and Political Weekly, V39, P2457
   Just R. E., 1978, Journal of Econometrics, P67, DOI 10.1016/0304-4076(78)90006-4
   Knapp L, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100315
   LaFevor MC, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111835
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Louhichi K, 2017, LAND USE POLICY, V66, P250, DOI 10.1016/j.landusepol.2017.04.010
   Maggio G, 2021, J DEV STUD, V57, P264, DOI 10.1080/00220388.2020.1769072
   Makate C, 2022, WORLD DEV, V159, DOI 10.1016/j.worlddev.2022.106054
   Marini L, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abc651
   Mason NM, 2013, AGR ECON-BLACKWELL, V44, P659, DOI 10.1111/agec.12080
   Massetti E, 2011, CLIM CHANG ECON, V2, P301, DOI 10.1142/S2010007811000322
   Menapace L, 2013, AM J AGR ECON, V95, P384, DOI 10.1093/ajae/aas107
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   Moschini G, 2001, HANDB ECON, V18, P87
   MUNDLAK Y, 1978, ECONOMETRICA, V46, P69, DOI 10.2307/1913646
   Musolino DA, 2018, SCI TOTAL ENVIRON, V633, P1560, DOI 10.1016/j.scitotenv.2018.02.308
   Nilsson P, 2022, ECOL ECON, V198, DOI 10.1016/j.ecolecon.2022.107465
   Prtner H. O., 2022, IPCC, 2022: Summary for Policymakers
   Quddoos A, 2023, J AGR ECON, V74, P75, DOI 10.1111/1477-9552.12490
   Rahman S, 2009, FOOD POLICY, V34, P340, DOI 10.1016/j.foodpol.2009.02.004
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Reidsma P, 2008, ECOL SOC, V13
   Schaub S, 2020, ECOL ECON, V168, DOI 10.1016/j.ecolecon.2019.106488
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Slijper T, 2022, EUR REV AGRIC ECON, V49, P121, DOI 10.1093/erae/jbab042
   Smale M, 1998, AM J AGR ECON, V80, P482, DOI 10.2307/1244551
   Solazzo R, 2016, AGR SYST, V149, P88, DOI 10.1016/j.agsy.2016.07.013
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tacconi F, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-021-00736-6
   Tamburini G, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba1715
   Tesfay MG, 2021, IRRIG DRAIN, V70, P306, DOI 10.1002/ird.2545
   Van Passel S, 2017, ENVIRON RESOUR ECON, V67, P725, DOI 10.1007/s10640-016-0001-y
   Wang RX, 2022, AM J AGR ECON, V104, P318, DOI 10.1111/ajae.12210
   Weigel R, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207454
   Widawsky D, 1998, NAT RES MAN, V16, P159
   Wimmer S, 2024, AM J AGR ECON, V106, P1241, DOI 10.1111/ajae.12421
   Wooldridge JM, 2015, J HUM RESOUR, V50, P420, DOI 10.3368/jhr.50.2.420
   Wooldridge JM, 2014, J ECONOMETRICS, V182, P226, DOI 10.1016/j.jeconom.2014.04.020
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   Yachi S, 1999, P NATL ACAD SCI USA, V96, P1463, DOI 10.1073/pnas.96.4.1463
   Zhu YY, 2000, NATURE, V406, P718, DOI 10.1038/35021046
NR 90
TC 1
Z9 1
U1 20
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-857X
EI 1477-9552
J9 J AGR ECON
JI J. Agric. Econ.
PD SEP
PY 2024
VL 75
IS 3
BP 955
EP 980
DI 10.1111/1477-9552.12610
EA JUN 2024
PG 26
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA C3J1C
UT WOS:001250056800001
DA 2025-01-10
ER

PT J
AU Ziervogel, G
AF Ziervogel, Gina
TI Building transformative capacity for adaptation planning and
   implementation that works for the urban poor: Insights from South Africa
SO AMBIO
LA English
DT Article
DE Adaptation planning; Inclusive governance; Local government; South
   Africa; Transformative capacity; Urban risk
ID CLIMATE-CHANGE ADAPTATION; GOVERNANCE; CITIES; BARRIERS; STATE;
   COPRODUCTION; RESILIENCE; FRAMEWORK; RESPONSES; POLITICS
AB The intersecting challenges of urbanization, growing inequality, climate and environmental risk and economic sustainability require new modes of urban governance. Although the urban poor are increasingly recognized as needing to be part of climate adaptation planning and implementation, many governance arrangements fail to explicitly include them. In order to make climate governance more inclusive, transformative capacity is needed. Drawing on two case studies from different urban contexts in South Africa, this paper explores the nature of inclusive governance between local government and the urban poor and the extent to which this has contributed to transformative development trajectories. The findings suggest that inclusive governance will be strengthened when local government (1) recognizes the everyday reality of the urban poor and works with them to identify priorities for transformative change, (2) supports sustained intermediaries who are urban poor themselves and (3) draws on diverse modes of governance to find new ways to engage diverse actors and experiment with inclusive adaptation planning and practice. These practices will help to build transformative capacity that can envisage and enable new ways of governing urban risk and implementing adaptation that puts the poor, frequently most impacted by climate and disaster risk, at the centre.
C1 [Ziervogel, Gina] Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Cape Town, South Africa.
   [Ziervogel, Gina] Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Cape Town, South Africa.
C3 University of Cape Town; University of Cape Town
RP Ziervogel, G (corresponding author), Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Cape Town, South Africa.; Ziervogel, G (corresponding author), Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Cape Town, South Africa.
EM gina.ziervogel@uct.ac.za
RI Ziervogel, Gina/AAG-2945-2019
OI Ziervogel, Gina/0000-0003-4219-6809
FU South African-Norway Cooperation Program (SANCOOP) of the Research
   Council of Norway - Norwegian Ministry of Foreign Affairs [234206];
   South African National Treasury through the Flemish Government
FX Some of the work drawn on in this paper was supported by the South
   African-Norway Cooperation Program (SANCOOP) of the Research Council of
   Norway and funded by the Norwegian Ministry of Foreign Affairs (Grant
   Number 234206). Other work drew on the FLOW programme, funded by South
   African National Treasury through the Flemish Government. The author is
   grateful for the thorough engagement by the special issue editors, two
   anonymous reviewers and some of my colleagues, who commented on the
   original versions of the paper.
CR Adelekan I, 2015, INT DEV PLANN REV, V37, P33, DOI 10.3828/idpr.2015.4
   Amundsen H, 2018, CURR OPIN ENV SUST, V31, P23, DOI 10.1016/j.cosust.2017.12.004
   [Anonymous], 2016, NONF CENS MUN YEAR E
   [Anonymous], 2014, EXPL COMPL COMM CURR
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Avelino F, 2016, J ENVIRON POL PLAN, V18, P557, DOI 10.1080/1523908X.2016.1216782
   Aylett A, 2013, ENVIRON PLANN C, V31, P858, DOI 10.1068/c11304
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Barnett C, 2018, COMPANION PLANNING G
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Bousquet F, 2016, ECOL SOC, V21, DOI 10.5751/ES-08754-210340
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Brown D, 2016, HABITAT INT, V53, P97, DOI 10.1016/j.habitatint.2015.11.002
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Carpenter SR, 2008, ECOL SOC, V13
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   de Coninck H., 2018, SUMMARY URBAN POLICY
   Dhote K.K., 2014, INCLUSIVE URBANIZATI
   Dodman D., 2011, Tomorrow is too late: Respoinding to social and climate vulnerability in dar es salaam
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fazey I, 2018, CURR OPIN ENV SUST, V31, P30, DOI 10.1016/j.cosust.2017.12.006
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Flyvbjerg B., 2011, The Sage Handbook of Qualitative Research, V4th, P301, DOI [10.1016/B978-1-85617-726-9.00005-4, DOI 10.1016/B978-1-85617-726-9.00005-4]
   Fraser A, 2017, ENVIRON PLANN A, V49, P2835, DOI 10.1177/0308518X17732341
   Frohlich J., 2013, icinde, Climate Change Governance, P9, DOI [DOI 10.1007/978-3-642-29831-82, 10.1007/978-3-642-29831-8_2, DOI 10.1007/978-3-642-29831-8_2]
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hamann R, 2013, J CLEAN PROD, V50, P12, DOI 10.1016/j.jclepro.2012.11.017
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hordijk M, 2014, ENVIRON URBAN, V26, P1
   Innes J.E., 2003, IMPACT COLLABORATIVE
   Jordhus-Lier D, 2018, GEOFORUM
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Leck H, 2013, URBAN STUD, V50, P1221, DOI 10.1177/0042098012461675
   Mapfumo P, 2017, CLIM DEV, V9, P439, DOI 10.1080/17565529.2015.1040365
   McGranahan G, 2016, ENVIRON URBAN, V28, P13, DOI 10.1177/0956247815627522
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Menkhaus K, 2006, INT SECURITY, V31, P74, DOI 10.1162/isec.2007.31.3.74
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   Moser Caroline., 2010, Pro-Poor Adaptation to Climate Change in Urban Centers: Case Studies of Vulnerability and Resilience in Kenya and Nicaragua
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Newton P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101718
   Noorbuckus Z, 2018, CLIMATE CHANGE URBAN
   O'Brien K, 2018, CURR OPIN ENV SUST, V31, P153, DOI 10.1016/j.cosust.2018.04.010
   Olsson P, 2010, SPRINGER SER ENV MAN, P263, DOI 10.1007/978-3-642-12194-4_13
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Parnell S, 2007, AREA, V39, P357, DOI 10.1111/j.1475-4762.2007.00760.x
   Parnell S, 2016, WORLD DEV, V78, P529, DOI 10.1016/j.worlddev.2015.10.028
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pieterse E., 2017, A Research Agenda for Cities, P218, DOI DOI 10.4337/9781785363429
   Pieterse E., 2015, Towards an African Urban Agenda
   Pieterse Edgar., 2010, URBAN FORUM, V21, P205, DOI DOI 10.1007/S12132-010-9092-7
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Satterthwaite D, 2011, WIRES CLIM CHANGE, V2, P767, DOI 10.1002/wcc.136
   Seeliger L, 2013, ENVIRON URBAN, V26, P184
   Solecki W, 2018, NAT CLIM CHANGE, V8, P177, DOI 10.1038/s41558-018-0101-5
   Termeer CJAM, 2016, LANDSCAPE URBAN PLAN, V154, P11, DOI 10.1016/j.landurbplan.2016.01.007
   van Buuren A., 2015, ACTION RES CLIMATE A, P1
   Wamsler C, 2016, ENVIRON POLICY GOV, V26, P184, DOI 10.1002/eet.1707
   Wilson S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05100-180122
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Wolfram M, 2016, CITIES, V51, P121, DOI 10.1016/j.cities.2015.11.011
   Ziervogel G, 2016, SUSTAINABILITY, V8, P1
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 75
TC 67
Z9 68
U1 4
U2 36
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD MAY
PY 2019
VL 48
IS 5
SI SI
BP 494
EP 506
DI 10.1007/s13280-018-1141-9
PG 13
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA HT6ZI
UT WOS:000464713200005
PM 30737639
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Woodruff, SC
AF Woodruff, Sierra C.
TI Planning for an unknowable future: uncertainty in climate change
   adaptation planning
SO CLIMATIC CHANGE
LA English
DT Article
ID DECISION-MAKING; FLOOD-RISK; WATER; SUSTAINABILITY; MANAGEMENT; STATES;
   PLANS
AB Uncertainty in climate projections poses a serious challenge to adaptation planning. Ignoring this uncertainty can cause adaptation plans and strategies to be ineffective and even maladaptive. As such, there is growing awareness that adaptation planning must adopt approaches that enable discovering, assessing, and addressing uncertainty. In this paper, I examine how uncertainty is managed in adaptation planning. Content analysis of 44 local climate adaptation plans in the U.S. indicates that most plans recognize uncertainty, however, very few employ approaches to address uncertainty. To better understand how uncertainty influences the planning process, I conducted informant interviews in three communities: Boulder, CO; Denver, CO and Salem, MA. These communities capture the variation across plans in content analysis scores, climate threats, and plan author. Interview results suggest that adaptation plans do not fully reflect how uncertainty is managed in the planning process. Rather than focusing on climate projections in the vulnerability assessment, which may reinforce planning for one future, communities in which interviews were conducted emphasized sensitivity and adaptive capacity. Interviewees also emphasized the importance of no-regrets strategies and an iterative adaptation process. Institutional barriers were viewed as a major challenge for adopting uncertainty approaches. For approaches, such as robust strategies and flexible strategies, to be more widely used, we must first breakdown the deeply embedded practice of planning for one future.
C1 [Woodruff, Sierra C.] UNC CH CEE, Campus Box 3275, Chapel Hill, NC 27599 USA.
RP Woodruff, SC (corresponding author), UNC CH CEE, Campus Box 3275, Chapel Hill, NC 27599 USA.
EM sscheleg@email.unc.edu
CR Abunnasr Y, 2015, J ENVIRON PLANN MAN, V58, P135, DOI 10.1080/09640568.2013.849233
   [Anonymous], J POLICY DEV RES
   [Anonymous], 2000, EM SCEN SUMM POL SPE
   [Anonymous], 2012, MANAGING RISKS EXTRE
   Baltimore, 2013, DIS PREP PLANN PROJ
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Berke P, 2014, J AM PLANN ASSOC, V80, P310, DOI 10.1080/01944363.2014.976585
   Berkhout F, 2013, REG ENV CHANGE
   Capela Lourenco T., 2014, ADAPTING UNCERTAIN C
   Denver, 2014, CIT COUNT DENV CLIM
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   Frazier TG, 2014, APPL GEOGR, V51, P158, DOI 10.1016/j.apgeog.2014.04.004
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hopkins L.D., 2007, Engaging the future: Forecasts, scenarios, plans, and projects
   Kirshen P, 2012, CLIMATIC CHANGE, V113, P919, DOI 10.1007/s10584-011-0379-z
   Kwakkel JH, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000626
   Larson KL, 2015, SUSTAINABILITY-BASEL, V7, P14761, DOI 10.3390/su71114761
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   Lempert RJ, 1996, CLIMATIC CHANGE, V33, P235, DOI 10.1007/BF00140248
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Lyles W, 2014, J PLAN EDUC RES, V34, P433, DOI 10.1177/0739456X14549752
   Moser SC, 2005, GLOBAL ENVIRON CHANG, V15, P353, DOI 10.1016/j.gloenvcha.2005.08.002
   Occhipinti N., 2013, Grand Rapids Climate Resiliency Report: An Initial Report on Grand Rapids Climate Resiliency and Preparedness
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Reeder T., 2010, LESSONS THAMES ESTUA
   Rietveld P, 2013, JEEPL, V10, P29
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Walsh J., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P735
   Werners SE, 2013, CURR OPIN ENV SUST, V5, P334, DOI 10.1016/j.cosust.2013.06.005
   Woodruff S.C., 2016, Nat. Clim. Change
NR 36
TC 36
Z9 40
U1 0
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 DEC
PY 2016
VL 139
IS 3-4
BP 445
EP 459
DI 10.1007/s10584-016-1822-y
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA ED6JQ
UT WOS:000388962300008
DA 2025-01-10
ER

PT J
AU Ortolá, MD
   Pageo, S
   García-Mares, FJ
   Juan-Borrás, M
   Castelló, ML
AF Ortola, M. D.
   Pageo, S.
   Garcia-Mares, F. J.
   Juan-Borras, M.
   Castello, M. L.
TI Characterization of partially defatted moringa seed flour obtained at
   different temperatures
SO LWT-FOOD SCIENCE AND TECHNOLOGY
LA English
DT Article
DE Defatted moringa seeds (DMS); Protein; Color; Phenolic profile;
   antioxidant capacity
ID OLEIFERA; ANTIOXIDANT; OIL; EXTRACTION
AB Moringa oleifera is a plant well-adapted to climate change due to its low irrigation requirements and resistance to high temperatures. The moringa seeds are very rich in proteins, oil and carbohydrates. For that reason, the aim of this study was the assessment of defatted moringa seeds (DMS), obtained after extracting oil from moringa seeds at different temperatures (from 70 to 220 degrees C), by analyzing the composition, a w , CIEL*a*b* coordinates, water holding capacity, antioxidant capacity and phenolic profile. The results showed that DMS had n50 % proteins, n10 % fats and n29 % carbohydrates, the rest being water (n4 %) and ashes (7 %). The highest temperature applied caused a significant reduction in the b* coordinate (from 17.4 to 9.5) and luminosity (from 55 to 45), giving rise to DMS that were darker brown in color. DMS were rich in polyphenols, which were enhanced at the highest temperature (220 degrees C) such as in the case of gallic acid (from 4.4 to 43 mg/100 g DMS) and rutin (from n4.4 to 53 mg/100 g DMS), as also happened with the total antioxidant capacity. In conclusion, DMS obtained at 70-190 degrees C have similar properties and their rich protein and antioxidant profile may offer up new possible uses in different food matrices for prospective future uses.
C1 [Ortola, M. D.; Pageo, S.; Juan-Borras, M.; Castello, M. L.] Univ Politecn Valencia, Food Engn Res Inst FoodUPV, Camino Vera S-N, Valencia 46022, Spain.
   [Garcia-Mares, F. J.] Univ Politecn Valencia, Dept Hydraul Engn & Environm, Camino Vera S-N, Valencia 46022, Spain.
C3 Universitat Politecnica de Valencia; Universitat Politecnica de Valencia
RP Castelló, ML (corresponding author), Univ Politecn Valencia, Food Engn Res Inst FoodUPV, Camino Vera S-N, Valencia 46022, Spain.
RI Castelló, María/L-1845-2019; MD, Ortola/I-1957-2015
OI ORTOLA ORTOLA, MARIA DOLORES/0000-0001-9961-0375
FU Generalitat Valenciana (Spain) [EDGJID/2021/287]; CRUE-Universitat
   Polite ` cnica de Vale ` ncia; Ibero-American Programme of Science and
   Technology for Development (CYTED) [119RT0567]
FX This research was funded by the project " Mejora de la produccion y
   calidad de hojas de moringa en Paraguay para contribuir al aporte
   nutri-cional de grupos desfavorecidos (MORNUPAY) " (ADSIDEO Ref.
   AD2115-Centre for Development Cooperation (CCD) -Universitat Politecnica
   de Vale ncia) . Furthermore, author S. Pageo has an employment contract
   within the framework of the National Youth Guarantee System-Generalitat
   Valenciana (Spain) (EDGJID/2021/287) and the open access charge was
   funded by CRUE-Universitat Politecnica de Valencia. The authors also
   thank the support provided by La ValSe-Food with the Ibero-American
   Programme of Science and Technology for Development (CYTED) (119RT0567)
   .r Generalitat Valenciana (Spain) (EDGJID/2021/287) and the open ac-cess
   charge was funded by CRUE-Universitat Polite ` cnica de Vale ` ncia. The
   authors also thank the support provided by La ValSe-Food with the
   Ibero-American Programme of Science and Technology for Development
   (CYTED) (119RT0567) .
CR Acosta-Estrada BA, 2014, FOOD CHEM, V152, P46, DOI 10.1016/j.foodchem.2013.11.093
   [Anonymous], 1995, OFFICIAL METHODS ANA, V16th
   Anudeep S., 2018, INT J RES ANAL REV, V5, P103
   Anwar F, 2003, J AGR FOOD CHEM, V51, P6558, DOI 10.1021/jf0209894
   AOAC, 2006, Official methods of analysis, V18
   Aoac, 2000, Official methods internationoal
   Badhani B, 2015, RSC ADV, V5, P27540, DOI 10.1039/c5ra01911g
   Bhutada PR, 2016, IND CROP PROD, V82, P74, DOI 10.1016/j.indcrop.2015.12.004
   Biljwan M., 2019, The Pharma Innovation Journal, V8, P654
   Bridgemohan P., 2014, African Journal of Food Science and Technology, V5, P125, DOI [10.14303/ajfst.2014.041, DOI 10.14303/AJFST.2014.041]
   Calvo-Lerma J, 2020, FOODS, V9, DOI 10.3390/foods9030290
   Cattan Y, 2022, INNOV FOOD SCI EMERG, V75, DOI 10.1016/j.ifset.2021.102903
   Chan EWC, 2009, FOOD CHEM, V113, P166, DOI 10.1016/j.foodchem.2008.07.090
   Chang SKC, 2010, FOOD ANALYSIS, FOURTH EDITION, P133, DOI 10.1007/978-1-4419-1478-1_9
   Deli S., 2011, International Food Research Journal, V18, P1367
   Di Sapio O., 2008, Agromensajes de La facultad, V11-13
   Duarte AM, 2018, J THERM ANAL CALORIM, V134, P1943, DOI 10.1007/s10973-018-7651-7
   Fernandes DM, 2015, FUEL, V146, P75, DOI 10.1016/j.fuel.2014.12.081
   Ferreira DM, 2023, MOLECULES, V28, DOI 10.3390/molecules28020723
   Fu XN, 2021, ADV COMPOS HYBRID MA, V4, P685, DOI 10.1007/s42114-021-00302-4
   Getachew M, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2120009
   Gharsallah K, 2021, S AFR J BOT, V137, P475, DOI 10.1016/j.sajb.2020.11.014
   Godswill C., 2019, International Journal of Advanced Academic Research | Sciences, V5, P2488
   Govardhan R., 2011, IFE Journal of Science, V13, P121
   Harris G.K., 2017, Food Analysis, P287, DOI DOI 10.1007/978-3-319-45776-5_16
   Hosseinkhani M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-38385-2
   Ibrahim SMA., 2017, INT J MECH MECHATRON, V17, P47
   Joshi AU, 2015, LWT-FOOD SCI TECHNOL, V60, P325, DOI 10.1016/j.lwt.2014.08.038
   Kawo A. H., 2009, Bayero Journal of Pure and Applied Sciences, V2, P96
   Krulj J, 2021, J FOOD NUTR RES-SLOV, V60, P217
   Kumar M, 2022, FOOD HYDROCOLLOID, V131, DOI 10.1016/j.foodhyd.2022.107791
   Labuckas D, 2014, LWT-FOOD SCI TECHNOL, V59, P794, DOI 10.1016/j.lwt.2014.06.038
   Lokeswari N., 2010, Drug Invention Today, V2, P268
   Maiyo FC, 2016, ANTI-CANCER AGENT ME, V16, P648, DOI 10.2174/1871520615666151002110424
   Martínez ML, 2008, J FOOD ENG, V88, P399, DOI 10.1016/j.jfoodeng.2008.02.026
   Martinez-Las Heras R., 2017, Influence of drying process and particle size of persimmon fibre on its physicochemical, antioxidant, hydration and emulsifying properties, P1
   Melo D, 2021, FOODS, V10, DOI 10.3390/foods10092108
   Meral R, 2019, QUAL ASSUR SAF CROP, V11, P171, DOI 10.3920/QAS2018.1350
   Nassef S., 2023, Egyptian Journal of Agricultural Sciences, P55, DOI [10.21608/ejarc.2023.174785.1008, DOI 10.21608/EJARC.2023.174785.1008]
   Olagbemide P. T., 2014, Advances in Life Science and Technology, V24, P1
   Olatunde A, 2022, EUR J MED CHEM REP, V5, DOI 10.1016/j.ejmcr.2022.100055
   Olson ME, 2016, REV MEX BIODIVERS, V87, P1089, DOI 10.1016/j.rmb.2016.07.007
   Prakash K, 2018, J FOOD PROCESS PRES, V42, DOI 10.1111/jfpp.13751
   Prakash M, 2019, J FUNCT FOODS, V52, P14, DOI 10.1016/j.jff.2018.10.021
   Prasad R., 2019, ASIAN J PHARM PHARM, V5, P1, DOI [10.31024/ajpp.2019.5.s1.1, DOI 10.31024/AJPP.2019.5.S1.1]
   Ross CF, 2011, J FOOD SCI, V76, pC884, DOI 10.1111/j.1750-3841.2011.02280.x
   Saa RW, 2019, FOOD SCI NUTR, V7, P1911, DOI 10.1002/fsn3.1057
   Saleem M, 2020, MATER TODAY-PROC, V31, P207, DOI 10.1016/j.matpr.2020.03.700
   Santos-Zea L., 2019, Bioactive Molecules in Food, P973, DOI 10.1007/978-3-319-78030-6_13
   Jaimes MIS, 2018, SCI AGROPEC, V9, P247, DOI 10.17268/sci.agropecu.2018.02.10
   Singh RSG, 2013, J FUNCT FOODS, V5, P1883, DOI 10.1016/j.jff.2013.09.009
   Swetha MP, 2018, J FOOD MEAS CHARACT, V12, P1917, DOI 10.1007/s11694-018-9806-4
   Tang SQ, 2021, ULTRASON SONOCHEM, V71, DOI 10.1016/j.ultsonch.2020.105357
   Tanleque-Alberto F, 2020, J FOOD COMPOS ANAL, V86, DOI 10.1016/j.jfca.2019.103377
   Tenagashaw M. W., 2016, Fifth African Higher Education Week and RUFORUM Biennial Conference 2016, "Linking agricultural universities with civil society, the private sector, governments and other stakeholders in support of agricultural development in Africa, Cape Town", South Africa, 17-21 October 2016, P953
   Villafuerte L. R., 2009, Malunggay phillippines, P1
   Worlstad R.E., 2017, Food analysis, V5th, P545, DOI [DOI 10.1007/978-3-319-45776-531, DOI 10.1007/978-3-319-45776-5_31]
   Xing QH, 2018, INNOV FOOD SCI EMERG, V50, P42, DOI 10.1016/j.ifset.2018.08.014
   Zaku S. G., 2015, African Journal of Food Science, V9, P456
NR 59
TC 0
Z9 0
U1 3
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0023-6438
EI 1096-1127
J9 LWT-FOOD SCI TECHNOL
JI LWT-Food Sci. Technol.
PD APR 15
PY 2024
VL 198
AR 115901
DI 10.1016/j.lwt.2024.115901
EA MAR 2024
PG 8
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA QF2P2
UT WOS:001219400900001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Bridhikitti, A
   Ketuthong, A
   Prabamroong, T
   Li, RZ
   Li, J
   Liu, GH
AF Bridhikitti, Arika
   Ketuthong, Arocha
   Prabamroong, Thayukorn
   Li, Renzhi
   Li, Jing
   Liu, Gaohuan
TI How Do Sustainable Development-Induced Land Use Change and Climate
   Change Affect Water Balance? A Case Study of the Mun River Basin, NE
   Thailand
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE SWAT model; CLUE model; Climate Change; Water Balance; Mun River Basin;
   Sustainable Development; Bioethanol
ID MEKONG; PROJECTIONS; UNCERTAINTY; HYDROLOGY; MODEL; CLUE
AB Thailand has set the 20-year National Strategy (2018-2037) towards sustainable development and building adaptability to climate change. The strategy promotes forestation and higher bioethanol energy demand. This study aims to investigate the effects of the climate and land-use changes on water balance in 2037, the end of the National Strategy, for the Mun River Basin, NE Thailand. The simulated climate dataset used in this study was ensemble means from IPCC AR5 Global Circulation Models for representative concentration pathway (RCP) 4.5 and 8.5 climate scenarios. The land-use change was simulated using the Dyna-CLUE (Conversion of Land Use and its Effects) model. The Soil and Water Assessment Tool (SWAT) was used to assess the water balance (considering evapotranspiration-ET, percolation-PERC, surface runoff-SURQ, and groundwater lateral flow-LATQ). The combined effects could increase monthly ET, whereas the climate change effect could outrun the land-use changes, resulting in increasing PERC. The sustainable development under the National Strategy (2018-2037) could be insignificantly affecting the water balance, whereas the "Bioethanol-Oriented" land-use scenario could increase SURQ and decline LATQ, which could intensify flooding. Soil-water conservation measures are recommended to mitigate the adverse effects of bioenergy.
C1 [Bridhikitti, Arika] Mahidol Univ, Earth Sci Res Cluster, Kanchanaburi Campus,199 Moo 9, Kanchanaburi 71150, Thailand.
   [Bridhikitti, Arika; Ketuthong, Arocha] Mahidol Univ, Sch Interdisciplinary Studies, Environm Engn & Disaster Management Program, Kanchanaburi Campus,199 Moo 9, Kanchanaburi 71150, Thailand.
   [Prabamroong, Thayukorn] Mahasarakham Univ, Fac Environm & Resource Studies, Maha Sarakham 44150, Thailand.
   [Li, Renzhi; Li, Jing; Liu, Gaohuan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
C3 Mahidol University; Mahidol University; Mahasarakham University; Chinese
   Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Bridhikitti, A (corresponding author), Mahidol Univ, Earth Sci Res Cluster, Kanchanaburi Campus,199 Moo 9, Kanchanaburi 71150, Thailand.; Bridhikitti, A (corresponding author), Mahidol Univ, Sch Interdisciplinary Studies, Environm Engn & Disaster Management Program, Kanchanaburi Campus,199 Moo 9, Kanchanaburi 71150, Thailand.
EM arika.bri@mahidol.edu
RI Li, Jingbo/G-6657-2018; RENZHI, LI/HRA-0771-2023; Bridhikitti,
   Arika/ABD-9605-2021
OI Prabamroong, Thayukorn/0000-0002-4218-3461
FU National Research Council of Thailand, NRCT; National Natural Science
   Foundation of China under the ThailandChina Future Earth Project
   [41661144030]
FX This research was financially supported by the National Research Council
   of Thailand, NRCT fiscal year 2018 to 2020, and co-funded by the
   National Natural Science Foundation of China under the ThailandChina
   Future Earth Project (41661144030).
CR Anand J, 2018, SCI TOTAL ENVIRON, V644, P503, DOI 10.1016/j.scitotenv.2018.07.017
   Artlert K, 2013, J HYDRO-ENVIRON RES, V7, P2, DOI 10.1016/j.jher.2013.01.001
   Bridhikitti A, 2021, SOIL WATER RES, V16, P121, DOI 10.17221/101/2020-SWR
   Deb P, 2018, MODEL EARTH SYST ENV, V4, P825, DOI 10.1007/s40808-018-0428-y
   Department of Alternative Energy Development and Efficiency Ministry of Energy, 2020, REN ALT EN DEV PLAN
   Department of International Trade Promotion Ministry of Commerce T, 2020, DRIV 20 YEAR STRAT P
   Department of International Trade Promotion Ministry of Commerce Thailand, 2016, PROM CASS STRAT DOUB
   Eastham J., 2008, Mekong River Basin Water Resources Assessment: Impacts of Climate Change
   Hapuarachchi HAP, 2008, HYDROL PROCESS, V22, P1246, DOI 10.1002/hyp.6934
   Haputta P, 2020, J CLEAN PROD, V251, DOI 10.1016/j.jclepro.2019.119756
   Hijioka Y, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1327
   Kiguchi M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abce80
   Kingston DG, 2011, HYDROL EARTH SYST SC, V15, P1459, DOI 10.5194/hess-15-1459-2011
   Li CY, 2021, CATENA, V201, DOI 10.1016/j.catena.2021.105199
   Lopes TR, 2021, J S AM EARTH SCI, V108, DOI 10.1016/j.jsames.2021.103224
   Ly S, 2013, BIOTECHNOL AGRON SOC, V17, P392
   Mekong River Commission, 2021, Social Impact Monitoring and Vulnerability Assessment (SIMVA) 2018: Report on 2018 baseline survey of the Lower Mekong mainstream and floodplain areas, DOI [10.52107/mrc.qx5ynt, DOI 10.52107/MRC.QX5YNT]
   Ministry of Agriculture and Cooperatives, 2019, 20 YEAR STRAT PLAN P
   Office of the Cane and Sugar Board, 2020, SUG SUG STRAT 2015 2
   Office of the National Economic and Social Development Council, 2021, NAT STRAT 2018 2037
   Office of the National Economic and Social Development Council, 2020, NAT EC SOC DEV PLAN
   Rice Department, 2015, FIN REP STRAT RIC DE
   Royal Forest Department, 2020, 20 YEAR ROYAL FOR DE
   Thompson JR, 2013, J HYDROL, V486, P1, DOI 10.1016/j.jhydrol.2013.01.029
   Veldkamp A, 1996, ECOL MODEL, V85, P253, DOI 10.1016/0304-3800(94)00151-0
   Verburg PH, 2009, LANDSCAPE ECOL, V24, P1167, DOI 10.1007/s10980-009-9355-7
   Wu CS, 2021, LAND-BASEL, V10, DOI 10.3390/land10010061
   Zhou F, 2013, J HYDROL, V485, P113, DOI 10.1016/j.jhydrol.2012.12.040
NR 28
TC 7
Z9 8
U1 1
U2 16
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 MAY
PY 2023
VL 37
IS 6-7
SI SI
BP 2737
EP 2756
DI 10.1007/s11269-022-03298-8
EA OCT 2022
PG 20
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA G9UJ8
UT WOS:000866331400002
DA 2025-01-10
ER

PT J
AU Veloza, MAM
   Dadati, MC
   Giordano, R
   Savio, L
AF Munoz Veloza, Monica Alexandra
   Dadati, Maria Caterina
   Giordano, Roberto
   Savio, Lorenzo
TI Water security: the "new normality" of informal settlements.
   Nature-Based Solutions as sustainable mitigation and adaptation
   strategies
SO VITRUVIO-INTERNATIONAL JOURNAL OF ARCHITECTURAL TECHNOLOGY AND
   SUSTAINABILITY
LA English
DT Article
DE Nature-Based Solutions; informal settlements; self-building; water
   collection; adaptation; mitigation
AB The COVID-19 pandemic showed us how fragile cities are when dealing with this phenomenon. The lack of green areas, high pollution levels, and human overpopulation contributed to the increase of the urban heat island effect and proved to be the perfect ingredients for the spread of the virus that changed, perhaps forever, our ways of living inhabiting. The consequences were even more dramatic for the inhabitants of informal neighbourhoods, as these exacerbated existing problems related to economic instability and low food and water security. This paper proposes using Nature-Based Solutions to mitigate and adapt to climate change and increase access to water in informal settlements. The research study focused on analysing two technologies, the Blue-Green roof and Rain Garden, developing a prototype for each one. Considering that the practice of self-building characterises spontaneous settlements, the modules were conceived to be built by the inhabitants using recycled materials. These low-tech strategies improve indoor thermal comfort, facilitate the storage of filtered rainwater for domestic use and provide access to affordable food through domestic scale cultivation. Implementing these solutions in marginalised neighbourhoods could also empower residents to face challenges related to Global Warming, such as runoffs generated by heavy precipitations, and improve hygienic conditions to prevent the spread of diseases.
C1 [Munoz Veloza, Monica Alexandra; Dadati, Maria Caterina; Giordano, Roberto; Savio, Lorenzo] Politecn Torino, Dept Architecture & Design, Turin, Italy.
C3 Polytechnic University of Turin
RP Veloza, MAM (corresponding author), Politecn Torino, Dept Architecture & Design, Turin, Italy.
EM monica.munozveloza@polito.it
RI SAVIO, LORENZO/AAL-1973-2021
OI SAVIO, LORENZO/0000-0001-7139-9256; GIORDANO,
   Roberto/0000-0001-6640-548X; MUNOZ VELOZA, MONICA
   ALEXANDRA/0000-0002-1865-565X
CR Acevedo I., INFORMALIDAD TIEMPOS
   [Anonymous], 2015, The Paris Agreement
   Ayala Garcia J., 2017, REV BANCO REPUBLICA, P9
   Cobos A., 2003, BITACORA URBANO TERR, V1, P101
   Corburn J, 2020, J URBAN HEALTH, V97, P348, DOI 10.1007/s11524-020-00438-6
   Dadati C., 2020, THESIS POLITECNICO T
   De Graaf, 2012, ADAPTIVE URBAN DEV S
   El Tiempo, 2020, TIEMPO
   International Energy Agency, 2020, GREEN STIM 2008 CRIS
   International Labour Organization, 2020, IMP LOCKD MEAS INF E
   Sánchez-Torres RM, 2017, CUAD ECON-BOGOTA, V36, P139, DOI 10.15446/cuad.econ.v36n72.65880
   Organisation for Economic Co-operation and Development, 2020, CONT REC ENV RESP CO
   Semper Gottfried., 1989, RES MONOGRAPHS ANTHR
   Tovar C.A. Torres., 2009, Ciudad informal colombiana: barrios construidos por la gente [The informal Colombian city: Barrios built by the people]
   U.S. Environmental Protection Agency, 2008, GREEN ROOFS RED URB
   UN Habitat, 2018, PROP CLIM ACT INF SE
   UNDRR, 2020, The Human Cost of Disasters: an Overview of the Last 20 Years-2000-2019
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
NR 18
TC 3
Z9 3
U1 2
U2 19
PU UNIV POLITECNICA VALENCIA, EDITORIAL UPV
PI VALENCIA
PA CAMINO VERA S-N, VALENCIA, 46022, SPAIN
SN 2444-9091
J9 VITRUVIO
JI Vitruvio
PD JUN
PY 2022
VL 7
IS 1
BP 62
EP 77
DI 10.4995/vitruvio-ijats.2022.17437
PG 16
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA 2X6DH
UT WOS:000825291600006
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Quddoos, A
   Salhofer, K
   Morawetz, UB
AF Quddoos, Abdul
   Salhofer, Klaus
   Morawetz, Ulrich B.
TI Utilising farm-level panel data to estimate climate change impacts and
   adaptation potentials
SO JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE adaptation; agriculture; climate change impacts; panel data model
ID ECONOMIC-IMPACTS; AGRICULTURAL OUTPUT; RANDOM FLUCTUATIONS; RICARDIAN
   MODELS; VARIABLES; TEMPERATURE; GENERATION; SCENARIOS; INCOME
AB We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
C1 [Quddoos, Abdul] Govt Coll Univ, Dept Econ, Faisalabad, Pakistan.
   [Salhofer, Klaus; Morawetz, Ulrich B.] Univ Nat Resources & Life Sci, Inst Sustainable Econ Dev, Vienna, Austria.
C3 Government College University Faisalabad; BOKU University
RP Quddoos, A (corresponding author), Govt Coll Univ, Dept Econ, Faisalabad, Pakistan.
EM malik.abdulquddoos@gmail.com
RI Salhofer, Klaus/ACN-4362-2022; Morawetz, Ulrich/U-8875-2017
OI Morawetz, Ulrich/0000-0002-5481-8292; Quddoos, Malik
   Abdul/0000-0002-1805-2859; Salhofer, Klaus/0000-0002-4119-648X
FU Higher Education Commission of Pakistan
FX Higher Education Commission of Pakistan
CR Acemoglu D, 2008, AM ECON REV, V98, P808, DOI 10.1257/aer.98.3.808
   Auffhammer M, 2014, ENERG ECON, V46, P555, DOI 10.1016/j.eneco.2014.09.010
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   Binder J., 1988, NEUES KLASSIFIZIERUN, P25
   Blanc E, 2017, REV ENV ECON POLICY, V11, P258, DOI 10.1093/reep/rex016
   Bozzola M, 2018, EUR REV AGRIC ECON, V45, P57, DOI 10.1093/erae/jbx023
   Briant A, 2010, J URBAN ECON, V67, P287, DOI 10.1016/j.jue.2009.09.014
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Büthe T, 2008, AM J POLIT SCI, V52, P741, DOI 10.1111/j.1540-5907.2008.00340.x
   Carter C, 2018, ANNU REV RESOUR ECON, V10, P361, DOI 10.1146/annurev-resource-100517-022938
   Nguyen CT, 2022, AGR ECON-BLACKWELL, V53, P37, DOI 10.1111/agec.12677
   Chimani B., 2016, ENDBERICHT OKS15 KLI
   Conley TG, 1999, J ECONOMETRICS, V92, P1, DOI 10.1016/S0304-4076(98)00084-0
   Croissant Y, 2008, J STAT SOFTW, V27, P1
   De Salvo M, 2013, AGR SYST, V118, P23, DOI 10.1016/j.agsy.2013.02.005
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Esarey J, 2019, POLIT SCI RES METH, V7, P541, DOI 10.1017/psrm.2017.42
   European Commission, 2019, FARM ACC DAT NETW FA
   Fezzi C, 2015, J ASSOC ENVIRON RESO, V2, P57, DOI 10.1086/680257
   Fisher AC, 2012, AM ECON REV, V102, P3749, DOI 10.1257/aer.102.7.3749
   Greene W., 2011, ONE STAGE RANDOM EFF
   Hiebl J, 2018, THEOR APPL CLIMATOL, V132, P327, DOI 10.1007/s00704-017-2093-x
   Hiebl J, 2016, THEOR APPL CLIMATOL, V124, P161, DOI 10.1007/s00704-015-1411-4
   Hsiao C., 2007, Analysis of Panel Data, V2nd
   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
   Kirchner M, 2015, ECOL ECON, V109, P161, DOI 10.1016/j.ecolecon.2014.11.005
   Kolstad CD, 2020, REV ENV ECON POLICY, V14, P1, DOI 10.1093/reep/rez024
   KrompKolb H., 2014, SYNTHESIS
   Lang G, 2007, CLIMATIC CHANGE, V84, P423, DOI 10.1007/s10584-007-9277-9
   Lippert C, 2009, CLIMATIC CHANGE, V97, P593, DOI 10.1007/s10584-009-9652-9
   Massetti E, 2020, CLIMATIC CHANGE, V161, P601, DOI 10.1007/s10584-020-02694-6
   Massetti E, 2018, REV ENV ECON POLICY, V12, P324, DOI 10.1093/reep/rey007
   Massetti E, 2016, ENERG ECON, V60, P144, DOI 10.1016/j.eneco.2016.09.004
   Massetti E, 2011, CLIM CHANG ECON, V2, P301, DOI 10.1142/S2010007811000322
   Massetti E, 2011, HANDBOOK ON CLIMATE CHANGE AND AGRICULTURE, P141
   McIntosh CraigT. Wolfram Schlenker., 2006, Identifying Non-Linearities in Fixed Effects Models
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn RO, 2017, REV ENV ECON POLICY, V11, P280, DOI 10.1093/reep/rex017
   Mérel P, 2021, AM J AGR ECON, V103, P1207, DOI 10.1111/ajae.12200
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   MUNDLAK Y, 1978, ECONOMETRICA, V46, P69, DOI 10.2307/1913646
   Olefs M., 2013, ENDBERICHT PROJECT A
   OrtizBobea A., 2021, HDB AGR EC, V1
   Plümper T, 2007, POLIT ANAL, V15, P124, DOI 10.1093/pan/mpm002
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rao ND, 2013, ENERG POLICY, V57, P532, DOI 10.1016/j.enpol.2013.02.025
   Reidsma P, 2007, CLIMATIC CHANGE, V84, P403, DOI [10.1007/s10584-007-9242-7, 10.1007/S10584-007-9242-7]
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schönhart M, 2018, LAND USE POLICY, V76, P500, DOI 10.1016/j.landusepol.2018.02.031
   Schönhart M, 2014, GER J AGR ECON, V63, P156
   Smith MG, 2014, ENVIRON RESOUR ECON, V57, P367, DOI 10.1007/s10640-013-9684-5
   Trinh TA, 2018, ENVIRON RESOUR ECON, V71, P897, DOI 10.1007/s10640-017-0189-5
   Van Passel S, 2017, ENVIRON RESOUR ECON, V67, P725, DOI 10.1007/s10640-016-0001-y
   Wineman A, 2017, FOOD SECUR, V9, P281, DOI 10.1007/s12571-016-0645-z
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P1
   Wooldridge J. M., 2015, Cengage learning
   Wooldridge JM, 2019, J ECONOMETRICS, V211, P137, DOI 10.1016/j.jeconom.2018.12.010
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
NR 62
TC 8
Z9 8
U1 3
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-857X
EI 1477-9552
J9 J AGR ECON
JI J. Agric. Econ.
PD FEB
PY 2023
VL 74
IS 1
BP 75
EP 99
DI 10.1111/1477-9552.12490
EA APR 2022
PG 25
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA 7Z2HM
UT WOS:000789542600001
DA 2025-01-10
ER

PT J
AU Di Giustino, G
   Pozzer, G
   Lucertini, G
AF Di Giustino, Gianmarco
   Pozzer, Gianfranco
   Lucertini, Giulia
TI Nature-based Solution for an integrated and resilient management of the
   urban water system: the case study of the municipality of Salt
SO TRIA-TERRITORIO DELLA RICERCA SU INSEDIAMENTI E AMBIENTE
LA Italian
DT Article
DE nature based solutions; NbS; ecosystem service; urban drainage system;
   urban water system
ID CLIMATE-CHANGE; IMPACT; AREAS
AB This paper shows research based on the application of an experimental investigation model, oriented to the systemic evaluation of scientific contents relating to the management of urban rainwater by Nature-based Solutions (NbS). The model recognizes, also according to the case study on which it is developed (Barri del Mass Maso, Girona), the definition of a unitary and multi-systemic vision of the domains of adaptation to climate change and prevention of urban flooding. These occur about the morpho-functional contexts of the city fabric and the areas belonging to the settlement system. In urban planning, this information is useful at different scales of representation and can be spatialized according to the management and sustainable use of rainwater. The main goal is to facilitate the recognition of environmental and physical-morphological correlations between exogenous and endogenous factors, characterizing the effectiveness of NbS in the mitigation of hydraulic risk, namely: climate change, planning processes and urban governance models. The experiment supports planning systems with an analysis model capable of recognizing risks by processing UWS replicable logical models. The research also makes it possible to evaluate different hydraulic performances of the urban context and to relate them to the capacity and flows of the ecosystem services present.
C1 [Di Giustino, Gianmarco; Pozzer, Gianfranco; Lucertini, Giulia] Univ Iuav Venezia, Planning & Climate Change Lab, Dept Architecture, S Croce 1957, I-30135 Venice, Italy.
   [Di Giustino, Gianmarco; Pozzer, Gianfranco; Lucertini, Giulia] Univ Iuav Venezia, Planning & Climate Change Lab, Dept Arts, S Croce 1957, I-30135 Venice, Italy.
   [Lucertini, Giulia] EPIC, Verona, Italy.
C3 IUAV University Venice; IUAV University Venice
RP Di Giustino, G (corresponding author), Univ Iuav Venezia, Planning & Climate Change Lab, Dept Architecture, S Croce 1957, I-30135 Venice, Italy.; Di Giustino, G (corresponding author), Univ Iuav Venezia, Planning & Climate Change Lab, Dept Arts, S Croce 1957, I-30135 Venice, Italy.
EM gdigiustino@iuav.it; gpozzer@iuav.it; glucertini@iuav.it
RI lucertini, giulia/ABB-4250-2020
CR Abdellatif M, 2015, NAT HAZARDS, V79, P1059, DOI 10.1007/s11069-015-1892-6
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   [Anonymous], 2001, ING AMBI
   Bayulken B, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125569
   Beceiro P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310040
   Beceiro P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062537
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Ferreiro C, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11020322
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fussel H. M., 2010, DEV CLIMATE CHANGE R
   Hughes J, 2021, CLIM RISK MANAG, V31, DOI 10.1016/j.crm.2020.100262
   IPCC, 2013, SPEC REP CLIM CHANG
   Jiang AZ, 2021, WATER-SUI, V13, DOI 10.3390/w13050583
   Kapetas L, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0204
   Li Y, 2017, J HYDROL, V550, P42, DOI 10.1016/j.jhydrol.2017.04.042
   Liu XL, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040580
   Magni F., 2019, Climate proof planning
   Maragno D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031334
   Maragno D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135319
   Masi E, 2018, J ENVIRON MANAGE, V216, P275, DOI 10.1016/j.jenvman.2017.11.086
   Mok S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052657
   Musco F., 2016, Counteracting Urban Heat Island Effects in a Global Climate Change Scenario
   Musco F., 2014, Il Clima Cambia La citta. Strategie di Adattamento e Mitigazione Nella Pianificazione Urbanistica
   Pautasso M, 2013, PLOS COMPUT BIOL, V9, DOI 10.1371/journal.pcbi.1003149
   Pistocchi A, 2017, ROU ST URBAN ECOLOGY, P157
   Pozzer G., 2015, RECUPER TERRENO ANAL, P165
   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]
   Pullin AS, 2006, CONSERV BIOL, V20, P1647, DOI 10.1111/j.1523-1739.2006.00485.x
   Rodrigues M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052983
   Snep RPH, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.599060
   Solecki W, 2015, URBAN CLIM, V14, P116, DOI 10.1016/j.uclim.2015.07.001
   Ungaro F, 2014, J HYDROL HYDROMECH, V62, P33, DOI 10.2478/johh-2014-0005
   Venkataramanan V, 2019, J ENVIRON MANAGE, V246, P868, DOI 10.1016/j.jenvman.2019.05.028
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   Xu CQ, 2019, RESOUR CONSERV RECY, V151, DOI 10.1016/j.resconrec.2019.104478
   Xu HS, 2020, J HYDROL, V587, DOI 10.1016/j.jhydrol.2020.124959
NR 38
TC 0
Z9 0
U1 2
U2 25
PU EDIZIONI SCIENTIFICHE ITALIANE SPA
PI NAPLES
PA VIA CHIATAMONE 7, NAPLES, NA 80121, ITALY
SN 1974-6849
EI 2281-4574
J9 TRIA
JI TRIA
PD JUN
PY 2021
VL 14
IS 1
BP 33
EP 46
DI 10.6092/2281-4574/8264
PG 14
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA WV0QZ
UT WOS:000716943400003
DA 2025-01-10
ER

PT J
AU Perera, KTN
   Wijayaratna, TMN
   Jayatillake, HM
   Manatunge, JMA
   Priyadarshana, T
AF Perera, K. T. N.
   Wijayaratna, T. M. N.
   Jayatillake, H. M.
   Manatunge, J. M. A.
   Priyadarshana, Tilak
TI Framework for the sustainable development of village tanks in cascades
   as an adaptation to climate change and for improved water security, Sri
   Lanka
SO WATER POLICY
LA English
DT Article
DE Adaptation strategies; Cascade approach; Hydrological principle;
   Multidimensional approach; NDCs; SDGs; Social-ecological systems; Tank
   restoration; Transdisciplinary approach
AB The 2030 Agenda for Sustainable Development, adopted by all UN member states, provides a policy framework for achieving sustainable development goals. The 13th SDG: Climate Action is fully dedicated to 'taking urgent action to combat climate change and its impacts'. Increasing storage is a key adaptation strategy in the water sector, and restoration and rehabilitation of ancient village tanks have been identified as one of the Nationally Determined Contributions in Sri Lanka. Though the country has engaged in the restoration of village tanks for nearly 170 years, only around 50% of the ancient tanks amounting to around 16,000 are restored and in working condition. Hence, this study aims to identify a strategy for restoring the abandoned tanks in the country towards achieving Sustainable Development Goals. The study reviewed the evolution of policies and approaches adopted in developing village tanks and identified conceptual and technical drawbacks in the existing normative assessment approach. New conceptual and decision-making frameworks were developed, incorporating design-level strategic considerations identified while following a multidimensional and transdisciplinary approach. The approach presented would be a viable strategy to develop village tanks in cascades as sustainable social-ecological systems.
C1 [Perera, K. T. N.] Irrigat Dept, Res Support & Proc Improvement Branch, 230 Bauddhaloka Mawatha, Colombo 7, Sri Lanka.
   [Wijayaratna, T. M. N.; Manatunge, J. M. A.] Univ Moratuwa, Dept Civil Engn, Katubedda, Sri Lanka.
   [Jayatillake, H. M.] Minist Irrigat, ADB Transact Tech Assistance Integrated Water Pro, Colombo 10, Sri Lanka.
   [Priyadarshana, Tilak] Univ Ruhuna, Fac Fisheries & Marine Sci & Technol, Dept Limnol & Water Technol, Matara 81000, Sri Lanka.
C3 University Moratuwa; University Ruhuna
RP Perera, KTN (corresponding author), Irrigat Dept, Res Support & Proc Improvement Branch, 230 Bauddhaloka Mawatha, Colombo 7, Sri Lanka.
EM ktnimali@gmail.com
FU National Research Council of Sri Lanka [12-104]
FX The material presented in this paper forms a part of PhD research degree
   funded by the National Research Council of Sri Lanka under Grant No.
   12-104 and titled restoration of ancient Ruhunu Rata tank systems to
   meet the future water demand and livelihood developments as an adaptable
   strategy to overcome the impacts of climate change.
CR Abbay R., 1877, NATURE, V16, P509, DOI [DOI 10.1038/016509A0, 10.1038/016509a0]
   ADB, 2006, SRI LANK N CENTR PRO
   [Anonymous], 2010, Assessing resilience in social-ecological systems: workbook for practitioners
   [Anonymous], 2005, 96 INT WAT MAN I
   ARTI, 1991, OCCASIONAL PUBLICATI, V40
   Arumugam S., 1957, DEV VILLAGE IRRIGATI
   Bandara C.M., 1985, Strategies for River Basin Management, P99, DOI [10.1007/978-94-009-5458-8_11, DOI 10.1007/978-94-009-5458-8_11]
   Begum S., 1987, OCCASIONAL PUBLICATI
   Council of Europe, 2015, UN CHRONICLE
   Dharmasena P.B., 1992, TROP AGR DEP AGR PER, V148, P97
   Dharmasena P.B, 1994, IRMU NEWSLETTER IRRI, V1
   ID, 2020, REH GUID MIN IRR HEA
   Ievers R. W., 1899, MANUAL N CENTRAL PRO
   IUCN, 2015, PROJ IMPL PLAN IUCN
   Jayatillake HM., 2017, LABYRINTH PIANO KEY, P275, DOI [10.1201/9781315169064-38, DOI 10.1201/9781315169064-38]
   Jinapala P.G, 2005, 92 INT WAT MAN I
   Kennedy J. S., 1933, T ENG ASS CEYLON, P229
   Madar Samad Madar Samad, 2005, Water Policy, V7, P125
   Mendis D., 2002, WATER HERITAGE SRI L
   Ministry of Environment and Natural Resources, 2018, ACT PLAN CLIM CHANG, VFirst
   MoI, 2020, WAR SAUB 5000 VILL I
   MoMD&E, 2019, CONC NOT REH CASC TA
   MoMD&E, 2016, READ PLAN IMPL INT N
   Nianthi KWGR, 2010, COMM ENV DISAST RISK, V2, P109, DOI 10.1108/S2040-7262(2010)0000002010
   Perera K. T. N., 2016, P 4TH INT S ADV CIVI, P181
   Perera K.T.N., EFFECT LANDSCA UNPUB
   Perera K.T.N., 2020, WATER PRACTICE TECHN
   Perera K.T.N., 2020, J WATER CLIM CHANGE
   Ponrajah A. J. P., 1984, Design of Irrigation Headworks for Small Catchments', Department of Irrigation
   Priyadarshana T., P 6 INT MULT ENG RES
   Somasiri S., 2000, FOOD SECURITY SMALL, P48
   Tennakoon M.U.A., 2005, ELLANGAWA THE TANK C
   UDAWATTAGE UDS, 1985, J HYDROL, V80, P351, DOI 10.1016/0022-1694(85)90127-1
   United Nations, 2015, No.A/RES/70/1.
   United Nations, 2020, UN DOC DEV UN DOC RE
   World Bank, 2015, 30251646 WORLD BANK
   World Bank, 1991, 9425CE WORLD BANK CO
   World Bank, 1981, REPORT RECOMMENDATIO
NR 38
TC 3
Z9 4
U1 3
U2 9
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 JUN
PY 2021
VL 23
IS 3
BP 537
EP 555
DI 10.2166/wp.2021.262
EA MAY 2021
PG 19
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA SW1BX
UT WOS:000652548100001
OA gold
DA 2025-01-10
ER

PT J
AU McNeely, JA
AF McNeely, Jeffrey A.
TI Nature and COVID-19: The pandemic, the environment, and the way ahead
SO AMBIO
LA English
DT Article
DE Biodefense; Biodiversity; Climate change; Health; Wildlife trade;
   Zoonotic diseases
AB The COVID-19 pandemic has brought profound social, political, economic, and environmental challenges to the world. The virus may have emerged from wildlife reservoirs linked to environmental disruption, was transmitted to humans via the wildlife trade, and its spread was facilitated by economic globalization. The pandemic arrived at a time when wildfires, high temperatures, floods, and storms amplified human suffering. These challenges call for a powerful response to COVID-19 that addresses social and economic development, climate change, and biodiversity together, offering an opportunity to bring transformational change to the structure and functioning of the global economy. This biodefense can include a "One Health" approach in all relevant sectors; a greener approach to agriculture that minimizes greenhouse gas emissions and leads to healthier diets; sustainable forms of energy; more effective international environmental agreements; post-COVID development that is equitable and sustainable; and nature-compatible international trade. Restoring and enhancing protected areas as part of devoting 50% of the planet's land to environmentally sound management that conserves biodiversity would also support adaptation to climate change and limit human contact with zoonotic pathogens. The essential links between human health and well-being, biodiversity, and climate change could inspire a new generation of innovators to provide green solutions to enable humans to live in a healthy balance with nature leading to a long-term resilient future.
C1 [McNeely, Jeffrey A.] 1445-29 Petchkasem Rd, Saitai Cha Am 76120, Petchburi, Thailand.
RP McNeely, JA (corresponding author), 1445-29 Petchkasem Rd, Saitai Cha Am 76120, Petchburi, Thailand.
EM jeffmcneely2@gmail.com
CR ABTA, 2020, GLOB WELF AN TOUR
   Aizawa Motoko, 2019, Journal of Mega Infrastructure & Sustainable Development, V1, P171, DOI 10.1080/24724718.2019.1706922
   Almond R., 2020, Living Planet Report 2020-Bending the Curve of Biodiversity Loss (No. LPR2020)
   [Anonymous], 2018, CBD Dec 14/8,
   [Anonymous], 2017, GUID INT BIOD CONS O
   [Anonymous], 2001, GLOBAL FOREST RESOUR
   [Anonymous], 2020, SUSTAINABLE RECOVERY
   [Anonymous], 2005, Friends for life: new partners in support of protected areas
   [Anonymous], 2018, The 10 Elements of Agroecology - Guiding the transition to sustainable food and agricultural systems
   [Anonymous], 2013, GUIDELINES APPL PROT
   [Anonymous], 1992, Convention on Biological Diversity
   [Anonymous], 2020, Global Biodiversity Outlook 5
   [Anonymous], 2019, Taking a Multisectoral One Health Approach: A Tripartite Guide to Addressing Zoonotic Diseases in Countries
   Asner, 2020, CONVERSATION    0908
   Badola S, 2020, Indian wildlife amidst the COVID-19 crisis: an analysis of status of poaching and illegal wildlife trade
   Beasley, 2020, FOREIGN AFF
   Bolam FC, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12762
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brown, 2020, FOREIGN AFF
   Campbell BruceM. S., 2016, GREAT TRANSITION CLI, DOI DOI 10.1017/CBO9781139031110
   Ceballos G, 2020, P NATL ACAD SCI USA, V117, P13596, DOI 10.1073/pnas.1922686117
   Cheng YQ, 2018, INT J REMOTE SENS, V39, P432, DOI 10.1080/01431161.2017.1387309
   Ciavarella A., 2020, Prolonged Siberian heat of 2020
   Coady D., 2019, Global Fossil Fuel Subsidies Remain Large: An Update Based on Country-Level Estimates
   Convention on Biological Diversity, 2010, Strategic Plan for Biodiversity 2011-2020, Including Aichi Biodiversity Targets
   Cook R.A., 2004, One World One Health Build. Interdiscip. Bridg. Health Glob. World
   Corlett RT, 2020, BIOL CONSERV, V246, DOI 10.1016/j.biocon.2020.108571
   DeRidder, 2020, COVID 19 VS CLIMATE
   Derryberry EP, 2020, SCIENCE, V370, P575, DOI 10.1126/science.abd5777
   Di Minin E, 2018, NAT ECOL EVOL, V2, P406, DOI 10.1038/s41559-018-0466-x
   Díaz S, 2019, SCIENCE, V366, P1327, DOI 10.1126/science.aax3100
   Dinerstein E, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb2824
   Dobson AP, 2020, SCIENCE, V369, P379, DOI 10.1126/science.abc3189
   Dou E., 2020, WASH POST
   Dudley N, 2018, GLOB ECOL CONSERV, V15, DOI 10.1016/j.gecco.2018.e00424
   Escobar H, 2020, SCIENCE, V369, P613, DOI 10.1126/science.369.6504.613
   ETC, 2020, Making mission possible: Delivering a net-zero economy
   Everard M, 2020, ENVIRON SCI POLICY, V111, P7, DOI 10.1016/j.envsci.2020.05.017
   Fahrig L, 2017, ANNU REV ECOL EVOL S, V48, P1, DOI 10.1146/annurev-ecolsys-110316-022612
   FAO, 2022, The state of World Fisheries and Aquaculture 2022. Towards Blue Transformation, DOI [10.4060/ca9229en, 10.4060/cc0461en, DOI 10.4060/CC0461EN, DOI 10.4060/CA9229EN]
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Forster PM, 2020, NAT CLIM CHANGE, V10, P971, DOI 10.1038/s41558-020-0904-z
   Frank EG, 2019, SCIENCE, V363, P686, DOI 10.1126/science.aav4013
   Fukuyama F, 2020, FOREIGN AFF, V99, P26
   Gardner C., 2020, NATURES COMEBACK NO
   Garnett ST, 2018, NAT SUSTAIN, V1, P369, DOI 10.1038/s41893-018-0100-6
   Giakoumi, 2017, ICES J MAR SCI, DOI [10.1093/icesjms/fxs059, DOI 10.1093/ICESJMS/FXS059]
   Gibb R, 2020, NATURE, V584, P398, DOI 10.1038/s41586-020-2562-8
   Gibson L, 2011, NATURE, V478, P378, DOI 10.1038/nature10425
   Goldthau A, 2020, NATURE, V585, P28, DOI 10.1038/d41586-020-02499-8
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Haass R., 2020, Foreign Affairs
   Haddad NM, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500052
   Haines A, 2017, LANCET PLANET HEALTH, V1, pE4, DOI 10.1016/S2542-5196(17)30003-7
   Hanski I, 2011, AMBIO, V40, P248, DOI 10.1007/s13280-011-0147-3
   Hayes TanyaM., 2005, INDIANA LAW R, V38, P595
   Henderson SB, 2020, AM J PUBLIC HEALTH, V110, P1140, DOI 10.2105/AJPH.2020.305744
   Herlihy D., 1997, BLACK DEATH TRANSFOR, DOI [10.2307/j.ctvjghwgp, DOI 10.2307/J.CTVJGHWGP]
   Hoban S, 2020, BIOL CONSERV, V248, DOI 10.1016/j.biocon.2020.108654
   Hockings M., 2020, PARKS, V26, DOI [DOI 10.2305/IUCN.CH.2020.PARKS-261MH.EN, 10.2305/IUCN.CH.2020.PARKS-26-1MH.enURL, DOI 10.2305/IUCN.CH.2020, DOI 10.2305/IUCN.CH.2020.PARKS-26-1MH.EN]
   Hoegh-Guldberg O, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00158
   Hsiang S, 2020, NATURE, V584, P262, DOI 10.1038/s41586-020-2404-8
   Hugelius G, 2020, P NATL ACAD SCI USA, V117, P20438, DOI 10.1073/pnas.1916387117
   IEA, 2020, GLOB EN REV 2020
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IUCN, 2020, The IUCN Red List of Endangered Species
   Jacobson MZ, 2019, ONE EARTH, V1, P449, DOI 10.1016/j.oneear.2019.12.003
   Jansen E, 2020, NAT CLIM CHANGE, V10, P714, DOI 10.1038/s41558-020-0860-7
   Jones KE, 2008, NATURE, V451, P990, DOI 10.1038/nature06536
   Karesh WB, 2009, CLIN MED, V9, P259, DOI 10.7861/clinmedicine.9-3-259
   Kausrud KL, 2010, BMC BIOL, V8, DOI 10.1186/1741-7007-8-112
   Kohn G. C., 2007, Encyclopedia of plague and pestilence: from ancient times to the present
   Kumar P., 2010, The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations (1. publ)
   Laborde D, 2020, SCIENCE, V369, P500, DOI 10.1126/science.abc4765
   Landrum L, 2020, NAT CLIM CHANGE, V10, P1108, DOI 10.1038/s41558-020-0892-z
   Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145
   Loken B., 2020, DIETS BETTER FUTURE
   Louv R., 2008, Last child in the woods: saving our children from nature-deficit disorder
   MacMillan M, 2020, FOREIGN AFF, V99, P12
   Maller C., 2002, Healthy parks healthy people: The health benefits of contact with nature in a park context: A review of current literature
   McCormick, 2020, NATION
   McNeely J.A., 2009, Conserving and valuing ecosystem services and biodiversity: economic, institutional and social challenges
   Meyerson LA, 2007, FRONT ECOL ENVIRON, V5, P199, DOI 10.1890/1540-9295(2007)5[199:IASIAE]2.0.CO;2
   Morens DM, 2020, CELL, V182, P1077, DOI 10.1016/j.cell.2020.08.021
   Morton, 2020, GUARDIAN        0728
   Murray K., 2020, SCIENCE, V369, P621, DOI DOI 10.1126/SCIENCE.ABC1507
   Naidoo R, 2020, NATURE, V583, P198, DOI 10.1038/d41586-020-01999-x
   NIH, 2020, PREV DIAB PROBL
   Nilsson M, 2016, NATURE, V534, P320, DOI 10.1038/534320a
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   O'Mara FP, 2011, ANIM FEED SCI TECH, V166-67, P7, DOI 10.1016/j.anifeedsci.2011.04.074
   O'Meara S, 2020, NATURE, V584, pS1, DOI 10.1038/d41586-020-02464-5
   OECD, 2020, OECD NEWS RELEASE
   Olivero J, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14727-9
   Petroni M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abaf86
   Quammen D., 2012, Spillover: Animal Infections and the Next Human Pandemic
   Reinhart C, 2020, FOREIGN AFF, V99, P84
   Rohr JR, 2020, NAT ECOL EVOL, V4, P24, DOI 10.1038/s41559-019-1060-6
   Rohr JR, 2019, NAT SUSTAIN, V2, P445, DOI 10.1038/s41893-019-0293-3
   Rounsevell MDA, 2020, SCIENCE, V368, P1193, DOI 10.1126/science.aba6592
   Sachs JD, 2019, NAT SUSTAIN, V2, P805, DOI 10.1038/s41893-019-0352-9
   Scheffers BR, 2019, SCIENCE, V366, P71, DOI 10.1126/science.aav5327
   Smith P J., 2020, The Song-Yuan-Ming Transition in Chinese History
   Soliveres S, 2016, NATURE, V536, P456, DOI 10.1038/nature19092
   Somerville K, 2020, GLOBAL GENEVA
   Strassburg BBN, 2020, NATURE, V586, P724, DOI 10.1038/s41586-020-2784-9
   Strauch Y, 2020, B ATOM SCI, V76, P238, DOI 10.1080/00963402.2020.1806577
   Swanson, 2017, FALL MONGOL EMPIRE D
   Tan PY, 2017, ADV 21ST CENT HUMAN, P1, DOI 10.1007/978-981-10-4113-6
   Thomas-Walters L, 2020, PEOPLE NAT, V2, P964, DOI 10.1002/pan3.10127
   Tienhaara K, 2010, ENVIRON POLICY GOV, V20, P197, DOI 10.1002/eet.537
   Trzyna T., 2014, Urban Protected Areas: Profiles and Best Practice Guidelines. Best Practice Protected Area Guidelines Series No. 22
   UNEP-WCMC IUCN and NGS, PROTECTED PLANET REP
   Waldron A., 2020, PROTECTING 30 PLANET
   Walsh P.J., 2008, Oceans and Human Health: Risks and Remedies from the Seas
   Warne K., 2020, NATL GEOGRAPHIC  SEP
   WCS (Wildlife Conservation Society), 2019, BERL PRINC
   WHO, 2003, CLIMATE CHANGE HUMAN
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Wilson E.O., 1984, P1
   Wilson E.O., 2016, Half-Earth: Our Planet's Fight for Life
   Wittenberg R., 2001, Invasive alien species: a toolkit of best prevention and management practices, DOI DOI 10.1079/9780851995694.0000
   Wolfe ND, 2007, NATURE, V447, P279, DOI 10.1038/nature05775
   World Economic Forum, 2020, New nature economy report series: The future of nature and business
   World Health Organization Secretariat of the Convention on Biological Diversity, 2015, CONNECTING GLOBAL PR
   Xu WH, 2017, P NATL ACAD SCI USA, V114, P1601, DOI 10.1073/pnas.1620503114
   Zeng YW, 2020, NAT SUSTAIN, V3, P795, DOI 10.1038/s41893-020-0555-0
NR 127
TC 75
Z9 79
U1 3
U2 100
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD APR
PY 2021
VL 50
IS 4
SI SI
BP 767
EP 781
DI 10.1007/s13280-020-01447-0
EA JAN 2021
PG 15
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA QZ9BV
UT WOS:000608089800003
PM 33454883
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Lenzholzer, S
   Carsjens, GJ
   Brown, RD
   Tavares, S
   Vanos, J
   Kim, Y
   Lee, K
AF Lenzholzer, Sanda
   Carsjens, Gerrit-Jan
   Brown, Robert D.
   Tavares, Silvia
   Vanos, Jennifer
   Kim, YouJoung
   Lee, Kanghyun
TI Urban climate awareness and urgency to adapt: An international overview
SO URBAN CLIMATE
LA English
DT Article
DE Urban heat island; Urban wind; Awareness; Societal actors;
   International; Climate change
ID EXTREME WEATHER; RISK PERCEPTION; FLOOD RISK; MITIGATION; CITIES;
   GOVERNANCE; SUPPORT; POPULATION; DISASTER; POLICY
AB Urban climate manifests itself through thermal and wind environments specific to cities and can cause wind danger or overheating. Cities can benefit from preventing these effects through adaptation measures. However, before any action can be taken in improving these urban climate conditions, an awareness of the problems is needed. Numerous studies show that there is awareness of urban climate extremes as a problem, yet that knowledge lacks amongst different actors in society, and may further differ between countries. Therefore, we conducted an international study on the awareness levels regarding urban climate phenomena and the sense of urgency to act within four groups: citizens, local politicians, urban planners and designers, and urban climate experts. Semi-structured interviews with experts in ten countries worldwide were conducted. Results indicate that the urgency to adapt to climate change was acknowledged rather equally for the four groups of actors. In contrast, awareness of urban climate phenomena (urban heat islands and urban wind patterns) amongst citizens and politicians is rather low in most countries. Amongst urban planners and designers and the urban climate experts we observed a generally high awareness regarding urban climate phenomena. Raising awareness requires tailor-made strategies for specific needs of the different actor groups.
C1 [Lenzholzer, Sanda; Carsjens, Gerrit-Jan] Wageningen Univ, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Brown, Robert D.; Kim, YouJoung; Lee, Kanghyun] Texas A&M Univ, Landscape Architecture & Urban Planning, College Stn, TX USA.
   [Tavares, Silvia] Univ Sunshine Coast, Sch Social Sci, Urban Design & Town Planning, 90 Sippy Downs Dr, Sippy Downs, Qld 4556, Australia.
   [Vanos, Jennifer] Arizona State Univ, Tempe, AZ 85281 USA.
C3 Wageningen University & Research; Texas A&M University System; Texas A&M
   University College Station; University of the Sunshine Coast; Arizona
   State University; Arizona State University-Tempe
RP Lenzholzer, S (corresponding author), Wageningen Univ, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM sanda.lenzholzer@wur.nl; gerrit-jan.carsjens@wur.nl;
   rbrown@arch.tamu.edu; stavares@usc.edu.au; jvanos@asu.edu;
   kyj0244k@tamu.edu; leeman233@tamu.edu
RI Vanos, Jennifer/AAO-3146-2020; Brown, Robert/B-9747-2008; Carsjens,
   Gerrit/B-8048-2015; Tavares, Silvia/E-6337-2017; Vanos,
   Jennifer/S-1552-2017
OI Carsjens, Gerrit/0000-0001-8001-4645; Tavares,
   Silvia/0000-0002-8405-9717; Kim, YouJoung/0000-0001-6281-4884; Brown,
   Robert/0000-0001-6955-910X; Vanos, Jennifer/0000-0003-1854-9096
FU Microclimate Design Research Group of Texas AM University; Landscape
   Architecture and Spatial Planning Group of Wageningen University
FX This project was partly supported by the Microclimate Design Research
   Group of Texas A&M University and by the Landscape Architecture and
   Spatial Planning Group of Wageningen University. We would like to thank
   the Wageningen University students Joram van der Schans, Liyang Qiu,
   Yesol Park, Gabriela Arabadhzieva, Merel Scheltema, Kathrin Merkelbach
   and Nanda Ratna Astuti, Myrthe Pel, Ineke Weppelman, Joanne de Bruin,
   Marlies Doesburg and Marcel Buchholz for conducting the interviews.
CR [Anonymous], 2012, URBAN ADAPTATION CLI
   Archie KM, 2018, ENVIRON DEV, V28, P19, DOI 10.1016/j.envdev.2018.09.003
   Ardaya AB, 2017, INT J DISAST RISK RE, V25, P227, DOI 10.1016/j.ijdrr.2017.09.006
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Blocken B., 2004, J THERM ENVEL BUILD, V28, P107
   Boezeman D., 2015, EVOLUTIONARY GOVERNA, P185
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Carmin J., 2009, ACHIEVING URBAN CLIM
   Carmin J., 2012, PROGR CHALLENGES URB
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Corburn J, 2009, URBAN STUD, V46, P413, DOI 10.1177/0042098008099361
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Ding D, 2011, NAT CLIM CHANGE, V1, P462, DOI 10.1038/NCLIMATE1295
   Fatti CE, 2013, APPL GEOGR, V36, P13, DOI 10.1016/j.apgeog.2012.06.011
   Georgi B., 2012, URBAN ADAPTATION CLI
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Hagen B, 2016, ENVIRON POLICY GOV, V26, P170, DOI 10.1002/eet.1701
   Hebbert M., 2012, LIVEABLE CITIES URBA, P132
   Hebbert M, 2014, URBAN CLIM, V10, P204, DOI 10.1016/j.uclim.2014.07.001
   Hebbert M, 2013, INT J URBAN REGIONAL, V37, P1542, DOI 10.1111/1468-2427.12046
   Hebbert M, 2013, URBAN STUD, V50, P1332, DOI 10.1177/0042098013480970
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Hornsey MJ, 2016, NAT CLIM CHANGE, V6, P622, DOI [10.1038/NCLIMATE2943, 10.1038/nclimate2943]
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Knight K. W., 2016, ENV SOCIOL, V2, P101, DOI 10.1080/23251042.2015.1128055
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lee T, 2017, MITIG ADAPT STRAT GL, V22, P761, DOI 10.1007/s11027-015-9697-1
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lenzholzer S., 2015, WEATHER CITY DESIGN
   Madsen HM, 2019, ENVIRON SCI POLICY, V98, P30, DOI 10.1016/j.envsci.2019.04.004
   McCright AM, 2014, WEATHER CLIM SOC, V6, P194, DOI 10.1175/WCAS-D-13-00058.1
   McKenzie L., 2015, ROUTLEDGE HDB PLANNI
   McPhearson T, 2016, NATURE, V538, P165, DOI 10.1038/538165a
   Mees H, 2017, J ENVIRON POL PLAN, V19, P374, DOI 10.1080/1523908X.2016.1223540
   Moser SC, 2016, WIRES CLIM CHANGE, V7, P345, DOI 10.1002/wcc.403
   Ng E., 2015, URBAN CLIMATIC MAP M
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Martínez CIP, 2018, J CLEAN PROD, V178, P314, DOI 10.1016/j.jclepro.2017.12.246
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Rambonilaza T, 2016, J ENVIRON MANAGE, V180, P272, DOI 10.1016/j.jenvman.2016.05.037
   Ren C, 2018, J WIND ENG IND AEROD, V182, P170, DOI 10.1016/j.jweia.2018.09.023
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Sheppard SRJ, 2015, LANDSCAPE URBAN PLAN, V142, P95, DOI 10.1016/j.landurbplan.2015.07.006
   Smargiassi A, 2009, J EPIDEMIOL COMMUN H, V63, P659, DOI 10.1136/jech.2008.078147
   Smith C, 2008, ENERG POLICY, V36, P4558, DOI 10.1016/j.enpol.2008.09.011
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Tanner A, 2018, RISK ANAL, V38, P548, DOI 10.1111/risa.12851
   Vachon G., 2013, Enq. ARCC J. Archit. Res, V10, P15, DOI [10.17831/enq:arcc.v10i1.162, DOI 10.17831/ENQ:ARCC.V10I1.162]
   Webb B, 2017, INT PLAN STUD, V22, P68, DOI 10.1080/13563475.2016.1169916
   Wirth V, 2014, GAIA, V23, P30, DOI 10.14512/gaia.23.1.9
   Zajenkowski M, 2013, PERS INDIV DIFFER, V55, P391, DOI 10.1016/j.paid.2013.03.013
NR 61
TC 23
Z9 24
U1 10
U2 87
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2020
VL 33
AR 100667
DI 10.1016/j.uclim.2020.100667
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA ND4TN
UT WOS:000561894700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kasdan, M
   Kuhl, L
   Kurukulasuriya, P
AF Kasdan, Marli
   Kuhl, Laura
   Kurukulasuriya, Pradeep
TI The evolution of transformational change in multilateral funds dedicated
   to financing adaptation to climate change
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate change; climate finance; adaptation; transformational change;
   innovation; Green Climate Fund
ID GLOBAL ENVIRONMENTAL-CHANGE; FOOD SECURITY; RESILIENCE; PERSPECTIVE;
   INNOVATION; SUSTAINABILITY; MANAGEMENT; SYSTEMS
AB Transformational adaptation is increasingly viewed as necessary to prevent the worst offsets in development gains due to severe climate impacts. However, clarity regarding how to produce transformational adaptation in practice is lacking, creating problems for project design and implementation. This paper examines (1) how transformational adaptation has been defined by major funders of adaptation; (2) how the concept has influenced funding priorities and the financing of projects. The study is based on a comparative analysis of the investment criteria, board meeting minutes, documents, and reports of the primary financial mechanisms under the United Nations Framework Convention on Climate Change: the Least Developed Country Fund, the Special Climate Change Fund, the Adaptation Fund and the Green Climate Fund. Our study demonstrates an increasing emphasis on transformational adaptation across funds over time, particularly in the Green Climate Fund. Transformative potential does guide funding decisions, but a clear understanding of whether transformational change is achievable, feasible, and desirable under all conditions has not yet emerged, an issue acknowledged by the funds and regularly discussed. Our analysis suggests that acknowledging tensions which arise with transformation in adaptation finance is critical because investment criteria and definitions of transformation impact the approaches to adaptation countries take.
C1 [Kasdan, Marli] United Nations Dev Programme, Bur Policy & Programme Support, New York, NY USA.
   [Kuhl, Laura] Northeastern Univ, Sch Publ Policy & Urban Affairs, 360 Huntington Ave, Boston, MA 02115 USA.
   [Kuhl, Laura] Northeastern Univ, Int Affairs Program, 360 Huntington Ave, Boston, MA 02115 USA.
   [Kurukulasuriya, Pradeep] United Nations Dev Programme, Nat Climate & Energy & Environm Finance, Bur Policy & Programme Support, New York, NY USA.
C3 Northeastern University; Northeastern University
RP Kuhl, L (corresponding author), Northeastern Univ, Sch Publ Policy & Urban Affairs, 360 Huntington Ave, Boston, MA 02115 USA.; Kuhl, L (corresponding author), Northeastern Univ, Int Affairs Program, 360 Huntington Ave, Boston, MA 02115 USA.
EM l.kuhl@northeastern.edu
OI Kuhl, Laura/0000-0002-1379-9435
CR Adaptation Fund, 2018, MED TERM STRAT AD FU
   Adaptation Fund Board, 2018, 2 PHAS OV EV FUND
   Adaptation Fund Board, 2015, AN CLIM CHANG AD REA
   [Anonymous], 2018, The Adaptation Gap Report 2018
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bell M., 2012, Low-Carbon Technology Transfer: From Rhetoric to Reality, P45
   Béné C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061697
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Blackburn S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072317
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Brooks H., 1995, MARSHALLING TECHNOLO, P83
   Brown K., 2015, Resilience, development and global change, DOI [10.4324/9780203498095, DOI 10.4324/9780203498095]
   Carr ER, 2019, WORLD DEV, V122, P70, DOI 10.1016/j.worlddev.2019.05.011
   Climate Justice Resilience Fund, 2019, RAD CLUBS HELP CLIM
   COHEN WM, 1990, ADMIN SCI QUART, V35, P128, DOI 10.2307/2393553
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Edquist C., 2005, OXFORD HDB INNOVATIO, DOI DOI 10.1093/OXFORDHB/9780199286805.003.0007
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Field CB., 2012, IPCC 2012. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX.) A special report of working groups I and II of the intergovernmental panel on climate change
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2010, ECOL SOC, V15
   Foxon Timothy J., 2009, European Environment, V19, P3, DOI 10.1002/eet.496
   Gallagher KS, 2012, ANNU REV ENV RESOUR, V37, P137, DOI 10.1146/annurev-environ-060311-133915
   GCF, 2019, GCF DRIV TRANSF CLIM
   GCF, 2019, RAIS AMB EMP ACT REP
   GCF, 2019, 1 GCF
   GCF Board, 2018, REP ACT SECR
   GCF Board, 2015, STRAT PLAN GREEN CLI
   GCF Board, 2018, GCF HDB DEC POL FRAM
   GCF Board, 2017, STRUCT STAFF SECR
   GCF Board, 2019, SYNTH BOARD SUBM REV
   GCF Board, 2019, STRAT PROGR GREEN CL
   GCF Board, 2019, READ PREP SUPP PROGR
   GCF Board, 2018, 19 M BOARD 26 FEB 1
   GCF Board, 2015, ANN 3 IN INV FRAM AC
   GCF Board, 2013, BUS MOD FRAM OBJ RES
   Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   GEF Independent Evaluation Office, 2009, JOINT EXT EV OP LEAS
   GEF Secretariat, 2019, NUMB ACT GEF PARTN S
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Global Environment Facility (GEF), 2017, REV GEF SUPP TRANSF
   Global Environment Facility (GEF), 2013, DRAFT GEF PROGR STRA
   Green Climate Fund Independent Evaluation Unit, 2019, IND EV GREEN CLIM FR
   Hoegh-Guldberg O., 2018, Global warming of 1.5C
   IEU, 2019, FORW LOOK PERF REV G
   ITAD, 2019, FIN EV REP EV TRANSF
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   Kemp R., 1997, ENV POLICY TECHNICAL
   LDCF/SCCF Council, 2011, JOINT WORK PROGR LEA
   LDCF/SCCF Council, 2018, FY 17 ANN MON REV LE
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Markard J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9468
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   O'Brien K., 2015, The Adaptive Challenge of Climate Change
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Connor D, 2017, GLOB SOC POLICY, V17, P3, DOI 10.1177/1468018116658776
   Olhoff A., 2015, The Adaptation Finance Gap Update-with insights from the INDCs
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Raven R, 2007, ENERG POLICY, V35, P2390, DOI 10.1016/j.enpol.2006.09.003
   Rip A., 1998, HUMAN CHOICE CLIMATE, P327, DOI DOI 10.1016/B978-008044910-4.00230-3
   Rogers E.M., 1995, DIFFUSION INNOVATION
   Ruttan V.W., 2001, TECHNOLOGY GROWTH DE
   Schot J, 2008, TECHNOL ANAL STRATEG, V20, P537, DOI 10.1080/09537320802292651
   UNDP Regional Technical Advisors, 2018, GCF TECHN EXP EXP WO
   Walker B., 2004, Ecology and Society, V9, P5
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Wilson C, 2011, NAT RESOUR FORUM, V35, P165, DOI 10.1111/j.1477-8947.2011.01386.x
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   World Bank and Potsdam Institute for Climate Impact Research & Climate Analytics, 2013, TURN DOWN HEAT CLIM
NR 78
TC 23
Z9 24
U1 5
U2 28
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAY 28
PY 2021
VL 13
IS 5
BP 427
EP 442
DI 10.1080/17565529.2020.1790333
EA JUL 2020
PG 16
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA SE8UO
UT WOS:000549012100001
DA 2025-01-10
ER

PT J
AU Cross, EL
   Murray, CS
   Baumann, H
AF Cross, Emma L.
   Murray, Christopher S.
   Baumann, Hannes
TI Diel and tidal <i>p</i>CO<sub>2</sub> x O<sub>2</sub> fluctuations
   provide physiological refuge to early life stages of a coastal forage
   fish
SO SCIENTIFIC REPORTS
LA English
DT Article
ID OCEAN ACIDIFICATION; ATLANTIC SILVERSIDE; CYCLING HYPOXIA;
   CARBONIC-ACID; CO2; RESPONSES; IMPACTS; PH; PATTERNS; GROWTH
AB Coastal ecosystems experience substantial natural fluctuations in pCO(2) and dissolved oxygen (DO) conditions on diel, tidal, seasonal and interannual timescales. Rising carbon dioxide emissions and anthropogenic nutrient input are expected to increase these pCO(2) and DO cycles in severity and duration of acidification and hypoxia. How coastal marine organisms respond to natural pCO(2) x DO variability and future climate change remains largely unknown. Here, we assess the impact of static and cycling pCO(2) x DO conditions of various magnitudes and frequencies on early life survival and growth of an important coastal forage fish, Menidia menidia. Static low DO conditions severely decreased embryo survival, larval survival, time to 50% hatch, size at hatch and post-larval growth rates. Static elevated pCO(2) did not affect most response traits, however, a synergistic negative effect did occur on embryo survival under hypoxic conditions (3.0 mg L-1). Cycling pCO(2) x DO, however, reduced these negative effects of static conditions on all response traits with the magnitude of fluctuations influencing the extent of this reduction. This indicates that fluctuations in pCO(2) and DO may benefit coastal organisms by providing periodic physiological refuge from stressful conditions, which could promote species adaptability to climate change.
C1 [Cross, Emma L.; Murray, Christopher S.; Baumann, Hannes] Univ Connecticut, Dept Marine Sci, 1080 Shennecossett Rd, Groton, CT 06340 USA.
C3 University of Connecticut
RP Cross, EL (corresponding author), Univ Connecticut, Dept Marine Sci, 1080 Shennecossett Rd, Groton, CT 06340 USA.
EM e.l.cross@cantab.net
RI Baumann, Hannes/D-1435-2010
OI Murray, Christopher/0000-0001-8504-9054; Cross, Emma/0000-0002-5855-2145
FU National Science Foundation [NSF-OCE 1536165]
FX We are thankful to C. Woods, J. Pringle, J. Snyder, J. Harrington, C.
   Dyke, I. Mayo, C. Concannon and S. Stark for laboratory assistance and
   to L. Jones for conducting larval measurements of experiments one and
   two. We are also grateful to C. Matassa and W. Huffman for statistical
   analysis support. This research was funded through a National Science
   Foundation grant to H.B. (NSF-OCE 1536165).
CR [Anonymous], GLOBAL CHANGE BIOL
   [Anonymous], WORKING GROUP 1 CONT
   Bates D, 2013, J STAT SOFTW, V52, P1, DOI 10.18637/jss.v052.i05
   Baumann H, 2019, CAN J ZOOL, V97, P399, DOI 10.1139/cjz-2018-0198
   Baumann H, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0408
   Baumann H, 2018, ESTUAR COAST, V41, P1102, DOI 10.1007/s12237-017-0321-3
   Baumann H, 2015, ESTUAR COAST, V38, P220, DOI 10.1007/s12237-014-9800-y
   Breitburg D, 2002, ESTUARIES, V25, P767, DOI 10.1007/BF02804904
   Burnett LE, 1997, AM ZOOL, V37, P633
   Caldeira K, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002671
   Cattano C, 2018, ECOL MONOGR, V88, P320, DOI 10.1002/ecm.1297
   Cloern JE, 2016, GLOBAL CHANGE BIOL, V22, P513, DOI 10.1111/gcb.13059
   CONOVER DO, 1982, ESTUARIES, V5, P275, DOI 10.2307/1351750
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Dahlke FT, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aas8821
   Davidson MI, 2016, MAR ECOL PROG SER, V556, P223, DOI 10.3354/meps11817
   DePasquale E, 2015, MAR ECOL PROG SER, V523, P145, DOI 10.3354/meps11142
   DICKSON AG, 1990, J CHEM THERMODYN, V22, P113, DOI 10.1016/0021-9614(90)90074-Z
   DICKSON AG, 1987, DEEP-SEA RES, V34, P1733, DOI 10.1016/0198-0149(87)90021-5
   Dixon RL, 2017, J EXP MAR BIOL ECOL, V493, P20, DOI 10.1016/j.jembe.2017.04.001
   Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Esbaugh AJ, 2018, J COMP PHYSIOL B, V188, P1, DOI 10.1007/s00360-017-1105-6
   Fabry VJ, 2008, ICES J MAR SCI, V65, P414, DOI 10.1093/icesjms/fsn048
   Farrell AP, 2009, FISH PHYSIOL, V27, P487, DOI 10.1016/S1546-5098(08)00011-3
   Feely RA, 2008, SCIENCE, V320, P1490, DOI 10.1126/science.1155676
   Feely RA, 2010, ESTUAR COAST SHELF S, V88, P442, DOI 10.1016/j.ecss.2010.05.004
   Frieder CA, 2014, GLOBAL CHANGE BIOL, V20, P754, DOI 10.1111/gcb.12485
   FRITSCHE R, 1990, FISH PHYSIOL BIOCHEM, V8, P85, DOI 10.1007/BF00004435
   Gobler CJ, 2016, BIOL LETTERS, V12, DOI 10.1098/rsbl.2015.0976
   Heuer RM, 2014, AM J PHYSIOL-REG I, V307, pR1061, DOI 10.1152/ajpregu.00064.2014
   Hofmann GE, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028983
   Jarrold MD, 2019, BIOL LETTERS, V15, DOI 10.1098/rsbl.2018.0724
   Jarrold MD, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00458
   Jarrold MD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10378-y
   Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
   Kwan GT, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.170283
   Lenth R. V., 2018, EMMEANS ESTIMATED MA
   Lifavi DM, 2017, MAR ECOL PROG SER, V564, P163, DOI 10.3354/meps11966
   Lucon-Xiccato T, 2014, J EXP BIOL, V217, P4115, DOI 10.1242/jeb.111229
   Malvezzi AJ, 2015, EVOL APPL, V8, P352, DOI 10.1111/eva.12248
   McNeil BI, 2016, NATURE, V529, P383, DOI 10.1038/nature16156
   MEHRBACH C, 1973, LIMNOL OCEANOGR, V18, P897, DOI 10.4319/lo.1973.18.6.0897
   Melzner F, 2013, MAR BIOL, V160, P1875, DOI 10.1007/s00227-012-1954-1
   Middaugh D.P., 1987, Methods for Spawning, Culturing and Conducting Toxicity-Tests with Early Life Stages of Four Atherinid Fishes: The inland silverside, Menidia beryllina, Atlantic silverside, M. Menidia, tidewater silverside, M. peninsulae and California grunion
   Miller SH, 2016, MAR ECOL PROG SER, V549, P1, DOI 10.3354/meps11695
   Munday PL, 2009, MAR ECOL PROG SER, V388, P235, DOI 10.3354/meps08137
   Murray CS, 2018, DIVERSITY-BASEL, V10, DOI 10.3390/d10030069
   Murray CS, 2014, MAR ECOL PROG SER, V504, P1, DOI 10.3354/meps10791
   Ou M, 2015, NAT CLIM CHANGE, V5, P950, DOI 10.1038/NCLIMATE2694
   Pacella SR, 2018, P NATL ACAD SCI USA, V115, P3870, DOI 10.1073/pnas.1703445115
   Perry SF, 2006, RESP PHYSIOL NEUROBI, V154, P199, DOI 10.1016/j.resp.2006.04.010
   Pörtner HO, 2012, MAR ECOL PROG SER, V470, P273, DOI 10.3354/meps10123
   Pörtner HO, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002561
   R Core Team, 2017, R LANG ENV STAT COMP
   Riebesell U, 2015, NAT CLIM CHANGE, V5, P12
   Snyder JT, 2018, J EXP MAR BIOL ECOL, V499, P1, DOI 10.1016/j.jembe.2017.11.002
   Waldbusser GG, 2014, ANNU REV MAR SCI, V6, P221, DOI 10.1146/annurev-marine-121211-172238
   Wallace RB, 2014, ESTUAR COAST SHELF S, V148, P1, DOI 10.1016/j.ecss.2014.05.027
   Wittmann AC, 2013, NAT CLIM CHANGE, V3, P995, DOI 10.1038/NCLIMATE1982
   Wootton JT, 2008, P NATL ACAD SCI USA, V105, P18848, DOI 10.1073/pnas.0810079105
NR 61
TC 14
Z9 18
U1 0
U2 15
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD DEC 3
PY 2019
VL 9
AR 18146
DI 10.1038/s41598-019-53930-8
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA JT2DZ
UT WOS:000500807700001
PM 31796762
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Younus, MAF
AF Younus, Md Aboul Fazal
TI Adapting to climate change in the coastal regions of Bangladesh:
   proposal for the formation of community-based adaptation committees
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Community-based adaptation committee (CBAC); governance; coastal
   vulnerability; Bangladesh; adaptation policy; PRAs; key informants;
   corruption
ID STORM-SURGE; SEA-LEVEL; EXTREME FLOODS; CYCLONE; BAY; IMPACTS; BENGAL
AB The paper outlines a concept and proposal for the formation of community based adaptation committees' (CBACs) at the micro-level, and it explains how such local committees would act with respect to the existing organisation of disaster management in Bangladesh. It examines how the CBACs would be sustained locally without colliding with the present system of government. The main objective of this is to identify how the CBACs could act independently as per local demands, without any conflict with the existing system, in order to ensure sustainable adaptation in future. To achieve these objectives the author conducted interviews with key informants at both local and national levels, and also conducted eight participatory rapid appraisal sessions at eight coastal communities. The author finds that severe corruption is impeding the existing system of relief and rehabilitation at community levels. The paper emphasises that the government of Bangladesh urgently needs to formulate a national adaptation policy, and that within that policy the concept of CBACs at community level should be prioritised. This would provide the government with guidelines for the use, at community level, of adaptation funds from developed countries in order to reduce future vulnerability in Bangladesh.
C1 [Younus, Md Aboul Fazal] Univ Adelaide, Sch Social Sci, Fac Arts, Geog Environm & Populat, Adelaide, SA 5005, Australia.
C3 University of Adelaide
RP Younus, MAF (corresponding author), Univ Adelaide, Sch Social Sci, Fac Arts, Geog Environm & Populat, Adelaide, SA 5005, Australia.
EM md.younus@adelaide.edu.au
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Ahmad Q., 2004, Asia Pacific Journal on Environment and Development, V11, P1
   Ahmed A., 2004, Food aid distribution in Bangladesh: Leakage and operational performance
   Ahmed A., 2015, Reviewers: Review of REE-CALL project . In quest of promoting a community resilience framework
   Alam K, 2011, IDS BULL-I DEV STUD, V42, P52, DOI 10.1111/j.1759-5436.2011.00222.x
   Ali A, 1999, CLIMATE RES, V12, P109, DOI 10.3354/cr012109
   [Anonymous], 1995, Environment, Land Use, and Natural Hazards in Bangladesh
   [Anonymous], 1997, Natural Hazards, DOI DOI 10.54302/MAUSAM.V48I2.4012
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   Broadus J. M., 1993, Climate and sea level change: Observations, projections and implications, P263
   Brooks N., 2013, Working Paper No. 5
   Burton Ian., 1993, The Environment as Hazard
   BWDB/ADB, 1992, Second Bhola irrigation project feasibility study
   Chambers R., 2002, NOTES PRACTICAL APPR
   Choudhury G.A., 2012, Alterra Report 2300, Wageningen
   CHOWDHURY AMR, 1993, DISASTERS, V17, P291, DOI 10.1111/j.1467-7717.1993.tb00503.x
   Dasgupta S., 2009, Working Paper No 182
   Dube SK, 2009, NAT HAZARDS, V51, P3, DOI 10.1007/s11069-009-9397-9
   EMANUEL KA, 1987, NATURE, V326, P483, DOI 10.1038/326483a0
   ESCAP, 1987, Main report, VII
   Fenton A., 2014, Nature Climate Change
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   HAQUE CE, 1992, DISASTERS, V16, P217, DOI 10.1111/j.1467-7717.1992.tb00400.x
   Harvey N, 2006, COAST SYST CONT MARG, V10, P1, DOI 10.1007/1-4020-3628-0
   IPCC, 2014, IPCC 5 ASS REP AR5
   Jakobsen F, 2006, COAST ENG J, V48, P295, DOI 10.1142/S057856340600143X
   Kapoor I, 2002, THIRD WORLD Q, V23, P101, DOI 10.1080/01436590220108199
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Kauser A., 1993, Briefing Document No. 6
   Khalil G. M., 1992, Natural Hazards, V6, P11, DOI 10.1007/BF00162096
   Khan MR, 2007, NAT HAZARDS, V41, P359, DOI 10.1007/s11069-006-9040-y
   Kremer H. H., 2005, LOICZ II: Science plan and implementation strategy
   Madsen H, 2004, COAST ENG, V51, P277, DOI 10.1016/j.coastaleng.2004.03.001
   Mallick Bishawjit., 2015, Environment, Migration, and Adaptation: Evidence and of Climate Change in Bangladesh, DOI DOI 10.1007/s11111-014-0210-7
   MILLIMAN JD, 1989, AMBIO, V18, P340
   Morgan D.L., 2008, SAGE ENCY QUALITATIV, P816, DOI DOI 10.4135/9781412963909.N425
   Munyua H., 2009, QUALITATIVE QUANTITA
   MURTY TS, 1986, PROG OCEANOGR, V16, P195, DOI 10.1016/0079-6611(86)90039-X
   Parry M., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel On Climate Change
   Paul A, 2006, COAST MANAGE, V34, P199, DOI 10.1080/08920750500531371
   Paul BK, 2009, NAT HAZARDS, V50, P289, DOI 10.1007/s11069-008-9340-5
   Paul S., 1994, Development Debate (Unnyan Bitarka), Troyodosh Barsha, P19
   Paul SK, 2011, NAT HAZARDS, V57, P477, DOI 10.1007/s11069-010-9631-5
   Schipper E.L., 2009, The Earthscan Reader on Adaptation to Climate Change
   Shah AlamKhan., 2008, DISASTER PREV MANAG, V17, P662, DOI DOI 10.1108/09653560810918667
   Small ML, 2009, ETHNOGRAPHY, V10, P5, DOI 10.1177/1466138108099586
   Theis J., 1991, Participatory Rapid Appraisal for Community Development: A Training Manual Based on Experiences in the Middle East and North Africa
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Warrick R., 1993, Briefing Document No. 2
   Warrick R.A., 1996, The Implications of Climate and Sea-Level Change for Bangladesh, P97, DOI [10.1007/978-94-009-0241-1_3, DOI 10.1007/978-94-009-0241-1_3]
   White G.F., 1975, ASSESSMENT RES NATUR
   Woodroffe CD, 2006, COAST SYST CONT MARG, V10, P277
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Younus M., 2008, Oriental Geographer, V52, P1
   Younus M., 2012, C P WATER CLIMATE PO
   Younus M., 2014, AUSTR NZ SOC ECOLOGI
   Younus M. D. Aboul Fazal, 2014, Journal of Environmental Assessment Policy and Management, V16, P1450036, DOI 10.1142/S1464333214500367
   Younus MAF, 2014, SPRINGER THESES-RECO, P1, DOI 10.1007/978-94-007-5494-2
   Younus MAF, 2014, LOCAL ECON, V29, P22, DOI 10.1177/0269094213515175
   Younus MAF, 2015, ENVIRON HAZARDS-UK, V14, P36, DOI 10.1080/17477891.2014.986041
   Younus Md Aboul Fazal, 2013, Journal of Environmental Assessment Policy and Management, V15, P1350010, DOI 10.1142/S1464333213500105
   Younus Younus M.A. F. M.A. F., 2010, Community-based autonomous adaptation and vulnerability to extreme floods in Bangladesh: processes, assessment and failure effects
   ZAMAN MQ, 1991, DISASTERS, V15, P117, DOI 10.1111/j.1467-7717.1991.tb00440.x
NR 64
TC 11
Z9 13
U1 0
U2 32
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-7891
EI 1878-0059
J9 ENVIRON HAZARDS-UK
JI Environ. Hazards
PY 2017
VL 16
IS 1
BP 21
EP 49
DI 10.1080/17477891.2016.1211984
PG 29
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EI1DV
UT WOS:000392217200002
DA 2025-01-10
ER

PT J
AU Potts, M
   Henderson, C
   Campbell, M
AF Potts, Malcolm
   Henderson, Courtney
   Campbell, Martha
TI The Sahel: A Malthusian Challenge?
SO ENVIRONMENTAL & RESOURCE ECONOMICS
LA English
DT Article
ID FERTILITY; COUNTRIES; IMPACT
AB The population of the least developed countries of the Sahel will more than triple from 100 million to 340 million by 2050, and new research projects that today's extreme temperatures will become the norm by mid-century. The region is characterized by poverty, illiteracy, weak infrastructure, failed states, widespread conflict, and an abysmal status of women. Scenarios beyond 2050 demonstrate that, without urgent and significant action today, the Sahel could become the first part of planet earth that suffers large-scale starvation and escalating conflict as a growing human population outruns diminishing natural resources. National governments and the international community can do a great deal to ameliorate this unfolding disaster if they put in place immediate policies and investments to help communities adapt to climate change, make family planning realistically available, and improve the status of girls and women. Implementing evidence-based action now will be an order of magnitude more humane and cost-effective than confronting disaster later. However, action will challenge some long held development paradigms of economists, demographers, and humanitarian organizations. If the crisis unfolding in the Sahel can help bridge the current intellectual chasm between the economic commitment to seemingly endless growth and the threat seen by some biologists and ecologists that human activity is bringing about irreversible damage to the biosphere, then it may be possible also to begin to solve this same formidable problem at a global level.
C1 [Potts, Malcolm; Henderson, Courtney; Campbell, Martha] Univ Calif Berkeley, Bixby Ctr Populat Hlth & Sustainabil, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Potts, M (corresponding author), Univ Calif Berkeley, Bixby Ctr Populat Hlth & Sustainabil, Berkeley, CA 94720 USA.
EM potts@berkeley.edu
CR [Anonymous], 2012, World Population Prospects: The 2012 Revision
   [Anonymous], 2005, International Journal (Toronto
   [Anonymous], 2005, EC HUM WELL BEING BI
   [Anonymous], 2012, DOING BUSINESS MORE
   Bongaarts J., 2000, 6 BILLION
   Campbell M, 2007, POPUL ENVIRON, V28, P237, DOI 10.1007/s11111-007-0054-5
   Campbell M, 2006, STUD FAMILY PLANN, V37, P87, DOI 10.1111/j.1728-4465.2006.00088.x
   Campbell MM, 2013, J FAM PLAN REPROD H, V39, P44, DOI 10.1136/jfprhc-2012-100405
   DAVIS K, 1967, SCIENCE, V158, P730, DOI 10.1126/science.158.3802.730
   Diamond-Smith N, 2011, INT PERSPECT SEX R H, V37, P155, DOI 10.1363/3715511
   Dyson T., 2010, POPULATION DEV DEMOG
   Ehrlich PR, 2013, P ROY SOC B, V280, P1
   Engels Friedrich., 1964, The Economic and Philosophic Manuscripts of 1844, P197
   Ezeh AC, 2009, PHILOS T R SOC B, V364, P2991, DOI 10.1098/rstb.2009.0166
   Guengant Jean-Pierre., 2012, POPULATION DEV DIVID
   International Planned Parenthood Federation, 2012, ANN PERF REP 2011 20
   Lam D, 2011, DEMOGRAPHY, V48, P1231, DOI 10.1007/s13524-011-0070-z
   Lutz W, 2001, NATURE, V412, P543, DOI 10.1038/35087589
   Malthus T. R., 1798, ESSAY PRINCIPLE POPU
   Meadows D. H., 1972, The Limits to Growth
   Neff RA, 2011, AM J PUBLIC HEALTH, V101, P1587, DOI 10.2105/AJPH.2011.300123
   Oumar J, 2013, ANSAR AL DIN THREAT
   OXFAM, 2012, FOOD CRIS SAH 5 STEP
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pearce Fred., 2010, The Coming Population Crash: And Our Planet's Surprising Future
   Phillips JF, 2012, STUD FAMILY PLANN, V43, P175, DOI 10.1111/j.1728-4465.2012.00316.x
   Potts M, 2013, OASIS ORG ADV SOLUTI
   Potts M, 2011, INT PERSPECT SEX R H, V37, P95, DOI 10.1363/3709511
   Potts M, 2009, PHILOS T R SOC B, V364, P3115, DOI 10.1098/rstb.2009.0181
   Prata N, 2011, B WORLD HEALTH ORGAN, V89, P556, DOI 10.2471/BLT.11.086710
   Romaniuk A, 2012, CAN STUD POPUL, V39, P125, DOI 10.25336/P62G73
   Running SW, 2012, SCIENCE, V337, P1458, DOI 10.1126/science.1227620
   Rutstein SO, 2005, INT J GYNECOL OBSTET, V89, pS7, DOI 10.1016/j.ijgo.2004.11.012
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Speidel JJ, 2009, PHILOS T R SOC B, V364, P3049, DOI 10.1098/rstb.2009.0162
   Stein H, 1999, WHAT I THINK ESSAYS
   SZRETER S, 1993, POPUL DEV REV, V19, P659, DOI 10.2307/2938410
   The Royal Society, 2012, 0112 POL CTR ROYAL S
   Turner A, 2009, PHILOS T R SOC B, V364, P2977, DOI 10.1098/rstb.2009.0183
   Ward MN, 1998, J CLIMATE, V11, P3167, DOI 10.1175/1520-0442(1998)011<3167:DASLTP>2.0.CO;2
   World Bank, 2013, The pirates of Somalia, ending the threat, rebuilding a nation
   World Bank. Independent Evaluation Group, 2009, IMPR EFF OUTC POOR H
   World Business Council for Sustainable Development, VIS 2050
   Zulu E, 2012, NEW SCI
NR 44
TC 11
Z9 12
U1 1
U2 34
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0924-6460
EI 1573-1502
J9 ENVIRON RESOUR ECON
JI Environ. Resour. Econ.
PD AUG
PY 2013
VL 55
IS 4
BP 501
EP 512
DI 10.1007/s10640-013-9679-2
PG 12
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA 206DV
UT WOS:000323498700003
DA 2025-01-10
ER

PT J
AU Pearce, R
   Dessai, S
   Barr, S
AF Pearce, Rebecca
   Dessai, Suraje
   Barr, Stewart
TI Re-Framing Environmental Social Science Research for Sustainable Water
   Management in a Changing Climate
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Behaviour change; Water customer; Environmental social science research;
   Water management; Climate change
ID RESOURCES MANAGEMENT; CONSUMPTION; PERCEPTION; BEHAVIOR; DROUGHT; POLICY
AB This paper considers aspects of environmental social science research in the UK and explores an obvious bias towards the development of instruments to manage demand as an adaptation to climate change, and consequently the predominance of interest in the customer from a demand-side perspective. In the case of water, this has resulted in an inappropriate mixing of individualist research methods designed to measure public perceptions of risk and water-based practices, with mass consumption data that cannot be specifically linked to the individual. This mixing has a tendency to reinforce a long-standing blame culture that drives interest in the development of behaviour change initiatives while the relatively unchallenged hydraulic mission to provide safe drinking water and sanitation progresses. With this in mind this paper reviews examples of water use research from California, Australia, and the UK and highlights the more effective routes to understanding water customers and developing behaviour change initiatives that utilise stages of change models and grounded techniques incorporating qualitative and quantitative data from individual sources. A secondary aim is to argue for re-framing the relations between various actors in a changing climate to allow the development of new policy approaches, learning, and openness, from industry, regulators, and customers, based on new theories from the field.
C1 [Pearce, Rebecca; Barr, Stewart] Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England.
   [Dessai, Suraje] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds LS2 9JT, W Yorkshire, England.
   [Dessai, Suraje] Univ Leeds, Sch Earth & Environm, ESRC Ctr Climate Change Econ & Policy, Leeds LS2 9JT, W Yorkshire, England.
C3 University of Exeter; University of Leeds; UK Research & Innovation
   (UKRI); Economic & Social Research Council (ESRC); University of Leeds
RP Pearce, R (corresponding author), Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England.
EM rp292@exeter.ac.uk
RI Dessai, Suraje/D-4219-2009
OI Dessai, Suraje/0000-0002-7879-9364
FU Economic and Social Research Council (ESRC) [EP/G061181/1]; Environment
   Agency [ES/G041040/1]; ARCC-Water project; Engineering and Physical
   Sciences Research Council; EPSRC [EP/G061181/2, EP/G061181/1,
   EP/G061157/1] Funding Source: UKRI
FX Rebecca Pearce was supported by an Economic and Social Research Council
   (ESRC) CASE studentship with the Environment Agency (ES/G041040/1).
   Suraje Dessai was supported by the ARCC-Water project funded by the
   Engineering and Physical Sciences Research Council and ESRC
   (EP/G061181/1). Dr. Julian Wright is thanked for useful discussions. We
   would also like to thank the anonymous reviewers for their most helpful
   and insightful comments. Any errors remain our own.
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Allon F, 2006, DAMS PLANTS PIPES FL
   [Anonymous], 2012, The UK Climate Change Risk Assessment 2012 Evidence Report
   [Anonymous], 2005, Brokerage and closure: An introduction to social capital
   [Anonymous], 2008, Med Gen Integr
   [Anonymous], 1984, LEARNING FIELD GUIDE
   [Anonymous], WAT LIF
   [Anonymous], 2007, SUSTAINABLE DEV PARA
   [Anonymous], 2005, SUSTAIN DEV RES NETW
   [Anonymous], 2009, WAT PEOPL ENV WAT RE
   [Anonymous], 2007, 07CU022 UKWIR
   Ansoff IH, 1986, USE ABUSE SOCIAL SCI
   Bakker KJ, 2003, WATER UNCOOPERATIVE
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   Barr S, 2006, GEOFORUM, V37, P906, DOI 10.1016/j.geoforum.2006.05.002
   Barr S, 2011, GLOBAL ENVIRON CHANG, V21, P1224, DOI 10.1016/j.gloenvcha.2011.07.009
   Barr S, 2011, APPL GEOGR, V31, P712, DOI 10.1016/j.apgeog.2010.12.003
   BUNTING TE, 1979, ANN ASSOC AM GEOGR, V69, P448, DOI 10.1111/j.1467-8306.1979.tb01268.x
   Charlton MB, 2011, GLOBAL ENVIRON CHANG, V21, P238, DOI 10.1016/j.gloenvcha.2010.07.012
   CIEB, 2011, DEV US FRAM SUST LIF
   Creative Research Ltd, 2011, ATT WAT SERV CHANG C, V1
   Creative Research Ltd, 2011, ATT WAT SERV CHANG C, V2
   Darnton A., 2011, Habits, Routines and Sustainable Lifestyles: A Summary Report to the Department for Environment, Food and Rural Affairs
   Defra, 2012, RES COMP TEST HIGH L
   Delli PriscoliJ., 2000, Water Policy, V6, P623, DOI [10.1016/s1366-7017(99)00019-7, 10.1016/S1366-7017(99)00019-7, DOI 10.1016/S1366-7017(99)00019-7]
   Denscombe M., 2007, GOOD RES GUIDE
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Dessai S, 2010, ENVIRON HAZARDS-UK, V9, P340, DOI 10.3763/ehaz.2010.0037
   Freestone OM, 2008, J BUS ETHICS, V79, P445, DOI 10.1007/s10551-007-9409-1
   Gilg A, 2006, ECOL ECON, V57, P400, DOI 10.1016/j.ecolecon.2005.04.010
   Glaser, 2011, COMMUNICATION
   Glaser B., 1967, The Discovery of Grounded Theory
   Glaser BG., 1998, Doing Grounded Theory: Issues and Discussions
   Gleick PH, 1998, ECOL APPL, V8, P571, DOI 10.1890/1051-0761(1998)008[0571:WICPTS]2.0.CO;2
   Holton J, 2010, SAGE HDB GROUNDED TH
   Hurlimann A, 2009, J ENVIRON MANAGE, V91, P47, DOI 10.1016/j.jenvman.2009.07.014
   JAMES O., 2007, Affluenza
   Jensen JO, 2008, ECOL ECON, V68, P353, DOI 10.1016/j.ecolecon.2008.03.016
   Johnson C., 2002, WATER POLICY, V4, P345
   Kallis G, 2008, ANNU REV ENV RESOUR, V33, P85, DOI 10.1146/annurev.environ.33.081307.123117
   Kallis G, 2010, ECOL ECON, V69, P796, DOI 10.1016/j.ecolecon.2008.07.025
   Krantz H, 2006, APPL GEOGR, V26, P227, DOI 10.1016/j.apgeog.2006.09.005
   Lam SP, 1999, J APPL SOC PSYCHOL, V29, P1058, DOI 10.1111/j.1559-1816.1999.tb00140.x
   LEVYLEBOYER C, 1988, AM PSYCHOL, V43, P779, DOI 10.1037/0003-066X.43.10.779
   McDonnell A, 2011, GROUNDED THEORY REV, V10, P17
   Medd W., 2008, Drought and demand in 2006: Consumers, Water companies and Regulators
   MOORE S, 1994, POPUL ENVIRON, V16, P175, DOI 10.1007/BF02208782
   Nevarez L, 1996, ANTIPODE, V28, P246, DOI 10.1111/j.1467-8330.1996.tb00462.x
   NTA, 2010, NTA BUS PLAN 2010 11
   O'Riordan T, 2004, T I BRIT GEOGR, V29, P234, DOI 10.1111/j.0020-2754.2004.00127.x
   Ofwat, 2010, SEC SUPPL 2006 07 RE
   Ofwat, 2011, PUSH PULL NUDG CAN W
   Opinion Leader Research, 2006, US WAT WIS DEL CONS
   Owen L., 2009, Public Understanding of Sustainable Water Use in the Home: A Report to the Department for Environment, Food and Rural Affairs
   Rance J, 2012, CLIMATE CHANGE RISK
   Reiss PC, 2008, RAND J ECON, V39, P636, DOI 10.1111/j.1756-2171.2008.00032.x
   Roy J, 2009, CURR OPIN ENV SUST, V1, P192, DOI 10.1016/j.cosust.2009.10.009
   Shove E., 1998, INCONSPICUOUS CONSUM
   Shove E., 2002, CONVERGING CONVENTIO
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Sofoulis Z., 2011, WATERLINES REPORT SE, V60
   Sofoulis Zoe., 2005, CONTINUUM-J MEDIA CU, V19, P445, DOI [10.1080/10304310500322685, DOI 10.1080/10304310500322685]
   Spaargaren G, 2011, GLOBAL ENVIRON CHANG, V21, P813, DOI 10.1016/j.gloenvcha.2011.03.010
   Swyngedouw E, 2010, PRIVATISING H2O TURN
   SYME GJ, 1991, J ENVIRON SYST, V20, P157
   Technology Strategy Board, 2012, WAT SEC COMP FEAS CO
   Trentmann Frank., 2006, The Making of the Consumer: Knowledge, Power, and Identity in the Modern World, P53
   Turton A.R., 2002, HYDROPOLITICS DEV WO
   Velicer W.F., 1998, Homeostasis, V38, P216
NR 70
TC 9
Z9 9
U1 0
U2 78
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 2013
VL 27
IS 4
SI SI
BP 959
EP 979
DI 10.1007/s11269-012-0184-0
PG 21
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA 094LL
UT WOS:000315264300005
OA hybrid
DA 2025-01-10
ER

PT J
AU Johnson, CA
   Krishnamurthy, K
AF Johnson, Craig A.
   Krishnamurthy, Krishna
TI Dealing with displacement: Can "social protection" facilitate long-term
   adaptation to climate change?
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Displacement; Migration; Adaptation; Livelihoods; Social
   protection
ID CONDITIONAL CASH TRANSFERS; REFUGEES; RISKS; MIGRATION; LESSONS; POLICY
AB This article explores the possibilities of using social protection to manage and reduce the risks of forced displacement resulting from climate change. It reviews the relevant literature on migration, disasters and climate change, and constructs a model through which international policies may be used to encourage resettlement options that support the capabilities and entitlements of poor and vulnerable populations. By distinguishing between rapid-onset disasters and long-term environmental change, it explores the ways in which cash transfers, asset transfers and conditional cash transfers may be used to break the cycle of vulnerability, destitution and distress migration that can occur during times of severe environmental stress. An important distinction is made between "economic migration," which implies that households have at their disposal an opportunity to engage in forward-looking analysis about the ways in which they will invest household resources and "distress migration," which implies that household decisions about investment and migration are largely ad hoc responses to external environmental processes and events. The article reviews recent discussions about the prospects of revising the international refugee regime, and identifies the opportunities and challenges of using social protection to support household decisions that can facilitate economic migration over the long-term. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Johnson, Craig A.] Univ Guelph, Dept Polit Sci, Guelph, ON N1G 2W9, Canada.
   [Krishnamurthy, Krishna] World Food Program, Rome, Italy.
C3 University of Guelph
RP Johnson, CA (corresponding author), Univ Guelph, Dept Polit Sci, Guelph, ON N1G 2W9, Canada.
EM cjohns06@uoguelph.ca
RI Johnson, Craig/HLG-6356-2023; Krishnamurthy, Krishna/GLQ-8614-2022
OI Krishnamurthy, Krishna/0000-0002-0320-8523
FU ESRC-SSRC
FX The research for this paper was supported with a grant from the
   ESRC-SSRC Visiting Fellowship Programme, which was carried out at the
   Tyndall Centre for Climate Change Research and the Environmental Change
   Institute at the University of Oxford. The authors would like to thank
   Polly Ericksen, Kamal Kapadia, James Morrissey, Petra Tschakert, Andy
   Newsham, Deb Ley, Alex Guerra Noriega, Nadia Manasfi and three anonymous
   reviewers for helpful comments on earlier drafts of this paper. They
   would also like to thank Alex Parisien for helpful research assistance.
   The authors bear full responsibility for the text that follows.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   [Anonymous], 2007, CLIMATIC CHANGE 2007, DOI 10.2134/jeq2008.0015br
   [Anonymous], MOZAMBIQUE CASE STUD
   [Anonymous], 2011, MIGRATION CLIMATE CH
   [Anonymous], BORDERS NEED STRATEG
   [Anonymous], 1989, HUNGER PUBLIC ACTION
   [Anonymous], 2001, Development as freedom
   [Anonymous], 315 IDS
   [Anonymous], 2008, WORLD BANK SEMINAR E
   [Anonymous], 2009, HUMAN DEV REPORT
   [Anonymous], 1983, Rural Development, DOI DOI 10.4324/9781849771665
   [Anonymous], 2008, CLIM CHANG SEC RISK
   [Anonymous], 1981, Poverty and Famines
   [Anonymous], 2010, World Development Report 2010: Development and Climate Change
   [Anonymous], 70 U OXF REF STUD CT
   Anthes RA, 2006, B AM METEOROL SOC, V87, P623, DOI 10.1175/BAMS-87-5-617
   *AWG LCA, 2010, REP AD HOC WORK GROU
   Bakewell Olivier, 2007, IMI Working Paper, 8
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Biermann F., 2007, Global Governance Working Paper No 33
   Biermann F, 2008, ENVIRONMENT, V50, P8
   Black R., 2001, ENV REFUGEES MYTH RE
   Bogardi J., 2009, NAT CLIM CHANGE, V1, P9, DOI DOI 10.1038/CLIMATE.2008.138
   Brown Oli., 2008, Migration and Climate Change, V31
   Burton I., 2009, Earthscan Reader on Adaptation to Climate Change, eds, P89
   Byravan S, 2006, CLIM POLICY, V6, P247
   Cernea M, 1997, WORLD DEV, V25, P1569, DOI 10.1016/S0305-750X(97)00054-5
   Cernea MM, 2006, WORLD DEV, V34, P1808, DOI 10.1016/j.worlddev.2006.02.008
   Davies M., 2008, Climate Change Adaptation, Disaster Risk Reduction and Social Protection
   Davies S., 2009, The Earthscan Reader on Adaptation to Climate Change, P99
   de Haan A, 1999, J DEV STUD, V36, P1, DOI 10.1080/00220389908422619
   de Sherbinin A, 2008, GLOBAL ENVIRON CHANG, V18, P38, DOI 10.1016/j.gloenvcha.2007.05.005
   Deshingkar P, 2005, WORLD DEV, V33, P575, DOI 10.1016/j.worlddev.2005.01.003
   Deshingkar P., 2005, MAXIMIZING BENEFITS
   Doocy S, 2006, DISASTERS, V30, P277, DOI 10.1111/j.0361-3666.2005.00321.x
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002
   Farrington J, 2006, DEV POLICY REV, V24, P499, DOI 10.1111/j.1467-7679.2006.00344.x
   Hulme M, 2008, ENVIRONMENT, V50, P50
   Huq S., 2009, EARTHSCAN READER ADA, P313
   Johnson C., 2001, Development Policy Review, V19, P521, DOI 10.1111/1467-7679.00149
   Kolmannskog VikramOdedra., 2008, Future Floods of Refugees: A Comment on Climate Change, Conflict and Forced Migration
   Laczko F., 2009, MIGRATION ENV CLIMAT
   Maluccio JA, 2010, J DEV STUD, V46, P14, DOI 10.1080/00220380903197952
   MATIN I, 2008, 109 CHRON POV RES CT
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   MYERS N, 1993, BIOSCIENCE, V43, P752, DOI 10.2307/1312319
   Nordås R, 2007, POLIT GEOGR, V26, P627, DOI 10.1016/j.polgeo.2007.06.003
   OBRIEN K, 2008, 20083 GECHS NORW MIN
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   [Parry ML. IPCC IPCC], 2007, Climate change 2007: Impacts, adaptation and vulnerability, P7, DOI DOI 10.2134/JEQ2008.0015BR
   Perch-Nielsen S, 2008, CLIMATIC CHANGE, V91, P375, DOI 10.1007/s10584-008-9416-y
   PESKETT L, 2009, 3 EDC TRAIN I EUR AS
   Prowse M., 2008, PROPOOR ADAPTATION R
   Reuveny R, 2007, POLIT GEOGR, V26, P656, DOI 10.1016/j.polgeo.2007.05.001
   Scoones I., 1998, 72 IDS
   Scott James C., 1998, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   SWIFT J, 1993, IDS BULL-I DEV STUD, V24, P1, DOI 10.1111/j.1759-5436.1993.mp24004001.x
   Teichman J, 2008, WORLD DEV, V36, P446, DOI 10.1016/j.worlddev.2007.04.010
   Todd JE, 2010, J DEV STUD, V46, P39, DOI 10.1080/00220380903197945
   Warner K., 2009, In search of shelter. Mapping the Effects of Climate Change on Human Migration and Displacement
   Wisner B., 2004, AT RISK, V2nd
   Zetter R., 2008, ENV DISPLACED PEOPLE
NR 65
TC 41
Z9 43
U1 0
U2 59
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD OCT
PY 2010
VL 20
IS 4
SI SI
BP 648
EP 655
DI 10.1016/j.gloenvcha.2010.06.002
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 682XR
UT WOS:000284436800012
DA 2025-01-10
ER

PT C
AU Lee, SJ
   Longcore, T
   Wilson, JP
AF Lee, S. J.
   Longcore, T.
   Wilson, J. P.
BE Guilbert, E
   Lees, B
   Leung, Y
TI IDENTIFICATION OF MUNICIPAL POLICIES THAT INFLUENCE THE DISTRIBUTION OF
   GREEN COVER ACROSS METROPOLITAN REGIONS
SO JOINT INTERNATIONAL CONFERENCE ON THEORY, DATA HANDLING AND MODELLING IN
   GEOSPATIAL INFORMATION SCIENCE
SE International Archives of the Photogrammetry, Remote Sensing and Spatial
   Information Sciences
LA English
DT Proceedings Paper
CT Joint International Conference on Theory, Data Handling and Modelling in
   GeoSpatial Information Science
CY MAY 26-28, 2010
CL Hong Kong, PEOPLES R CHINA
SP Int Soc Photogrammetry & Remote Sensing
DE Green Cover; Policy; Aerial Photography; Feature Analyst
ID SHADE TREES; URBAN FORM; LOS-ANGELES; ENERGY USE; VEGETATION;
   NEIGHBORHOODS; BENEFITS; IMPACT; SPACE; AREAS
AB Nature's services provided by green cover are important to environmental conditions in cities and their ability to adapt to climate change. Researchers using geospatial technologies have dramatically increased the spatial and temporal resolution of knowledge about the distribution of tree and shrub cover in cities. Much of the current research on tree cover in cities has concentrated on individual preferences and associations between socioeconomic characteristics and environmental conditions. To complement existing research and provide planners with the practical tools they need to maintain the benefits of urban nature, this study focuses on the public policy factors that influence tree and other green cover at the lot and neighbourhood scales, concentrating on single family neighbourhoods. Green cover is classified using an object-oriented method with high spatial-resolution aerial imagery and GIS techniques. Landscape and property information were extracted from Los Angeles County Assessor Office files at a parcel scale for 20 cities in Los Angeles County. The extracted variables included lot size, floor-area ratio, residential landscape standards, tree protection ordinances, and street tree programs and were used along with average temperature and rainfall information in multiple regression models to explain the distribution and character of green cover across different neighbourhoods.
C1 [Lee, S. J.; Longcore, T.; Wilson, J. P.] Univ So Calif, Dept Geog, Los Angeles, CA 90089 USA.
C3 University of Southern California
RP Lee, SJ (corresponding author), Univ So Calif, Dept Geog, 3620 S Vermont Ave,KAP 444, Los Angeles, CA 90089 USA.
EM sujinlee@usc.edu; longcore@usc.edu; jpwilson@usc.edu
RI Longcore, Travis/A-4978-2008
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Akbari H, 2002, ENVIRON POLLUT, V116, pS119, DOI 10.1016/S0269-7491(01)00264-0
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   [Anonymous], 1999, CARBON DIOXIDE REDUC
   [Anonymous], 2000, Urban Ecosystems
   Arbor Day Foundation, 2009, TREE CIT US PROGR
   Barbosa O, 2007, LANDSCAPE URBAN PLAN, V83, P187, DOI 10.1016/j.landurbplan.2007.04.004
   Bengston DN, 2004, LANDSCAPE URBAN PLAN, V69, P271, DOI 10.1016/j.landurbplan.2003.08.007
   Carver AD, 2004, ENVIRON MANAGE, V34, P650, DOI 10.1007/s00267-002-7003-y
   Chawla L., 1999, Journal of Environmental Education, V31, P15, DOI [10.1080/00958969909598628, DOI 10.1080/00958969909598628]
   Conway D, 2010, J REAL ESTATE FINANC, V41, P150, DOI 10.1007/s11146-008-9159-6
   Donovan GH, 2009, ENERG BUILDINGS, V41, P662, DOI 10.1016/j.enbuild.2009.01.002
   ESRI, 2009, ARCG 9 3 DESKT HELP
   Ewing R, 2008, HOUS POLICY DEBATE, V19, P1, DOI 10.1080/10511482.2008.9521624
   Grove JM, 2006, SOC NATUR RESOUR, V19, P117, DOI 10.1080/08941920500394501
   Heynen N, 2006, ENVIRON PLANN A, V38, P499, DOI 10.1068/a37365
   Hill E, 2010, LAND USE POLICY, V27, P407, DOI 10.1016/j.landusepol.2009.05.007
   Landry S, 2010, LANDSCAPE URBAN PLAN, V94, P94, DOI 10.1016/j.landurbplan.2009.08.003
   LOUKAITOUSIDERIS A, 1995, J PLAN EDUC RES, V14, P89, DOI 10.1177/0739456X9501400202
   Martin CA, 2004, LANDSCAPE URBAN PLAN, V69, P355, DOI 10.1016/j.landurbplan.2003.10.034
   McPherson E. Gregory, 1993, Journal of Arboriculture, V19, P321
   McPherson G, 2005, J FOREST, V103, P411
   Miller JE, 2009, PROF GEOGR, V61, P250, DOI 10.1080/00330120902742920
   Nasar JL, 2007, J URBAN DES, V12, P339, DOI 10.1080/13574800701602478
   NOWAK DJ, 1993, J ENVIRON MANAGE, V37, P207, DOI 10.1006/jema.1993.1017
   Simpson J. R., 1996, Journal of Arboriculture, V22, P10
   Szold TS, 2005, J AM PLANN ASSOC, V71, P189, DOI 10.1080/01944360508976692
   Tanner T., 1980, Journal of Environmental Education, V11, P399
   Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003
   Troy AR, 2007, ENVIRON MANAGE, V40, P394, DOI 10.1007/s00267-006-0112-2
   Wolch J, 2005, URBAN GEOGR, V26, P4, DOI 10.2747/0272-3638.26.1.4
   Wu Chunxia, 2008, Urban Forestry & Urban Greening, V7, P65, DOI 10.1016/j.ufug.2008.01.002
   Xiao Qingfu, 2002, Urban Ecosystems, V6, P291, DOI 10.1023/B:UECO.0000004828.05143.67
   Yuan F, 2008, INT J REMOTE SENS, V29, P1169, DOI 10.1080/01431160701294703
   Zhou Y, 2007, NORTHEAST NAT, V14, P643, DOI 10.1656/1092-6194(2007)14[643:AAOISA]2.0.CO;2
NR 35
TC 2
Z9 2
U1 0
U2 5
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLE 1E, GOTTINGEN, 37081, GERMANY
SN 1682-1750
EI 2194-9034
J9 INT ARCH PHOTOGRAMM
PY 2010
VL 38
BP 513
EP 518
PN 2
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 BD1PD
UT WOS:000358220500094
DA 2025-01-10
ER

PT C
AU Potluri, S
   Satpathy, S
   Mahapatra, S
   Nanjundan, P
   Mohanty, SN
AF Potluri, Sirisha
   Satpathy, Suneeta
   Mahapatra, Saswati
   Nanjundan, Preethi
   Mohanty, Sachi Nandan
BE Swarnkar, T
   Patnaik, S
   Mitra, P
   Misra, S
   Mishra, M
TI A Systematic Review of AI Privileges to Combat Widen Threat of
   Flavivirus
SO AMBIENT INTELLIGENCE IN HEALTH CARE, ICAIHC 2022
SE Smart Innovation Systems and Technologies
LA English
DT Proceedings Paper
CT 1st international conference Ambient Intelligence in Health Care
   (ICAIHC)
CY APR 15-16, 2022
CL Bhubaneswar, INDIA
ID WEST NILE; CIRCULATION; DENGUE
AB In order to prevent the extraordinary spread of sickness caused by Flavivirus, the healthcare business as well as public health are working tirelessly. Individual lives have been affected, but mosquito-infested public locations have made a considerable influence on the general public's health. Site adaptability, climate change, and inadequate healthcare services and surveillance all contribute to the spread of the virus. The potential dangers of this virus, on the other hand, have been uncovered through extensive and ongoing research in the healthcare business. Modern healthcare facilities may benefit from the reasoning capabilities and ever-evolving analysis techniques provided by artificial intelligence. More conclusive findings have been demonstrated in the realm of AI applications in healthcare domains such as cancer, neurology, and cardiology. A number of research works have justified the use of AI-oriented algorithms for intelligently handling unstructured and huge healthcare data. When it comes to using artificial intelligence (AI) to identify, forecast, diagnose, and treat disease using data from public health and biological databases, the current effort aims to undertake an extensive examination. There may be issues in integrating assistive technology into the current healthcare system, as well. Because of this review, we hope that by merging AI research with clinical and public health specialists, critical knowledge may be extracted from data in order to unchain the relevant information of Flavivirus disease from its chains.
C1 [Potluri, Sirisha] ICFAI Fdn Higher Educ, Fac Sci & Technol, Dept CSE, IcfaiTech, Shankarpalli Rd, Hyderabad 501203, Telangana, India.
   [Satpathy, Suneeta] Sri Sri Univ, Fac Emerging Technol, Cuttack 751002, Odisha, India.
   [Mahapatra, Saswati] Siksha O Anusandhan Deemed Be Univ, Inst Tech Educ & Res, Dept Comp Applicat, Bhubaneswar 751030, India.
   [Nanjundan, Preethi] CHRIST Univ, Dept Data Sci, Pune, Maharashtra, India.
   [Mohanty, Sachi Nandan] Vardhaman Coll Engn Autonomous, Hyderabad 501218, Telangana, India.
C3 The ICFAI Foundation for Higher Education (IFHE); ICFAI Tech (Faculty of
   Science & Technology); Siksha 'O' Anusandhan University; Vardhaman
   College of Engineering
RP Potluri, S (corresponding author), ICFAI Fdn Higher Educ, Fac Sci & Technol, Dept CSE, IcfaiTech, Shankarpalli Rd, Hyderabad 501203, Telangana, India.
EM sirisha.vegunta@gmail.com; saswatimohapatra@soa.ac.in;
   preethi.n@christuniversity.in
RI Nanjundan, Preethi/AFW-7548-2022; Satpathy, Suneeta/AAY-7083-2020;
   mohanty, Sachi Nandan/ABV-5364-2022; potluri, sirisha/ADZ-9019-2022
OI Nandan Mohanty, Dr.Sachi/0000-0002-4939-0797; satpathy,
   suneeta/0000-0002-6943-171X; Nanjundan, Preethi/0000-0001-6782-8644;
   potluri, sirisha/0000-0001-9106-9780
CR Ahmad F, 2021, CMC-COMPUT MATER CON, V66, P2265, DOI 10.32604/cmc.2021.013067
   Aishwarya T, 2021, SN Comput Sci, V2, P226, DOI 10.1007/s42979-021-00605-9
   Albahri AS, 2020, J MED SYST, V44, DOI 10.1007/s10916-020-01582-x
   Aljameel SS, 2021, SCI PROGRAMMING-NETH, V2021, DOI [10.1155/2021/5587188, 10.1155/2021/6494889]
   Arpaci I, 2021, MULTIMED TOOLS APPL, V80, P11943, DOI 10.1007/s11042-020-10340-7
   Beck C, 2013, INT J ENV RES PUB HE, V10, P6049, DOI 10.3390/ijerph10116049
   Chowdhury A.A., 2021, COGN COMPUT, V12, P1, DOI [10.1007/s12559-021-09S59-0, DOI 10.1007/S12559-021-09S59-0]
   Daep CA, 2014, J NEUROVIROL, V20, P539, DOI 10.1007/s13365-014-0285-z
   Davenport Thomas, 2019, Future Healthc J, V6, P94, DOI 10.7861/futurehosp.6-2-94
   Domingo C, 2009, DIAGN MICR INFEC DIS, V65, P42, DOI 10.1016/j.diagmicrobio.2009.05.004
   Fang Y, 2011, J VIROL METHODS, V173, P251, DOI 10.1016/j.jviromet.2011.02.013
   Geerling E, 2020, VACCINES-BASEL, V8, DOI 10.3390/vaccines8030477
   Holbrook MR, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9050097
   Khan AH, 2020, SMART INNOV SYST TEC, V169, P1, DOI [10.1007/s41870-020-00495-9, 10.1007/978-981-15-1616-0_1]
   Konkolova E, 2020, ANTIVIR RES, V182, DOI 10.1016/j.antiviral.2020.104899
   Kumar K, 2019, TROP ANIM HEALTH PRO, V51, P495, DOI 10.1007/s11250-018-01786-x
   Martinez Viedma Maria Del Pilar, 2019, F1000Res, V8, P1875, DOI 10.12688/f1000research.20981.1
   Mohapatra S., 2021, Handbook of Deep Learning in Biomedical Engineering', P25, DOI 10.1016/B978-0-12-823014-5.00006-5
   Muhammad L J, 2021, SN Comput Sci, V2, P11, DOI 10.1007/s42979-020-00394-7
   Mukhopadhyay S, 2005, NAT REV MICROBIOL, V3, P13, DOI 10.1038/nrmicro1067
   Murali N., 2018, ARTIF INTELL, DOI [10.13140/RG.2.2.27265.92003, DOI 10.13140/RG.2.2.27265.92003]
   Musso D, 2020, DIAGNOSTICS, V10, DOI 10.3390/diagnostics10050302
   Perumal V, 2021, APPL INTELL, V51, P341, DOI 10.1007/s10489-020-01831-z
   Petersen LR, 2005, J TRAVEL MED, V12, pS3
   Pierson TC, 2020, NAT MICROBIOL, V5, P796, DOI 10.1038/s41564-020-0714-0
   Reusken C, 2019, J CLIN VIROL, V120, P78, DOI 10.1016/j.jcv.2019.09.009
   Rong G, 2020, ENGINEERING-PRC, V6, P291, DOI 10.1016/j.eng.2019.08.015
   Roundy CM, 2017, ADV VIRUS RES, V98, P119, DOI 10.1016/bs.aivir.2016.10.001
   Ryu WS, 2017, MOLECULAR VIROLOGY OF HUMAN PATHOGENIC VIRUSES, P165, DOI 10.1016/B978-0-12-800838-6.00012-6
   Satpathy S., 2021, APPL ARTIF INTELL, DOI [10.1007/978-981-15-7317-0_1, DOI 10.1007/978-981-15-7317-0_1]
   Savini G, 2012, VET MICROBIOL, V158, P267, DOI 10.1016/j.vetmic.2012.02.018
   Secinaro S, 2021, BMC MED INFORM DECIS, V21, DOI 10.1186/s12911-021-01488-9
   Singh AK, 2024, COGN COMPUT, V16, P1765, DOI 10.1007/s12559-021-09848-3
   Sujath R, 2020, STOCH ENV RES RISK A, V34, P959, DOI [10.1007/s00477-020-01827-8, 10.1007/s00477-020-01843-8]
   Talavera S, 2018, PARASITE VECTOR, V11, DOI 10.1186/s13071-018-2887-4
NR 35
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2190-3018
EI 2190-3026
BN 978-981-19-6070-3; 978-981-19-6068-0; 978-981-19-6067-3
J9 SMART INNOV SYST TEC
PY 2023
VL 317
BP 189
EP 199
DI 10.1007/978-981-19-6068-0_18
PG 11
WC Computer Science, Artificial Intelligence; Public, Environmental &
   Occupational Health; Medical Informatics
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Public, Environmental & Occupational Health; Medical
   Informatics
GA BU6BY
UT WOS:000921933300018
DA 2025-01-10
ER

PT J
AU Ferranti, EJS
   Oberling, DF
   Quinn, AD
AF Ferranti, Emma Jayne Sakamoto
   Oberling, Daniel Fontana
   Quinn, Andrew David
TI Transport resilience to weather and climate: an interdisciplinary view
   from Rio de Janeiro
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND
   PLANNING
LA English
DT Article
DE town & city planning; transport planning
ID URBAN RESILIENCE; CITIES; EVENTS; VULNERABILITY; MOBILITY; SYSTEM;
   IMPACT; RISK; SUSTAINABILITY; INNOVATIONS
AB Weather causes damage and disruption to public transport, especially in developing megacities where transport demand is high, trip-lengths can be long, and poor socio-economic conditions exacerbate impacts. Here, an analytical framework overviews urban transport resilience to current weather and future climate in Rio de Janeiro. It describes how heavy rainfall and high temperatures impact on rail, metro and Bus Rapid Transit networks, and characterises the triggers, actors and linkages that combine to create barriers or pathways to transport resilience. There are three improvements to weather and climate resilience, namely, (a) the creation of Centre of Operations Rio (Centro de Operacoes Rio; COR) to co-ordinate daily operations and disaster response, (b) a series of innovations in operational integration enabled by co-locating services within COR and (c) infrastructure investment prior to the Olympic Games, which increased transport provision. The results highlight the need for integration and leadership across the private transport sector and demonstrate how resilience to current weather and future climate is intrinsically linked to sustainable urban mobility and should be considered in state and municipal planning strategies for housing, public services, and commercial and industrial development. Without adaptation, climate change will exacerbate existing systemic problems identified by the framework.
C1 [Ferranti, Emma Jayne Sakamoto] Univ Birmingham, Sch Engn, Civil Engn, Birmingham, W Midlands, England.
   [Oberling, Daniel Fontana] Minist Publ Estado Rio de Janeiro, Rio De Janeiro, Brazil.
   [Quinn, Andrew David] Univ Birmingham, Sch Engn, Atmospher Sci & Engn, Birmingham, W Midlands, England.
C3 University of Birmingham; University of Birmingham
RP Ferranti, EJS (corresponding author), Univ Birmingham, Sch Engn, Civil Engn, Birmingham, W Midlands, England.
EM e.ferranti@bham.ac.uk
RI Quinn, Andrew/B-7793-2008
OI Ferranti, Emma/0000-0002-0494-5349
FU EPSRC [EP/R007365/1] Funding Source: UKRI
CR [Anonymous], 2014, TRANSP RES REV REV R
   [Anonymous], 2015, TOM RAILW CLIM CHANG
   [Anonymous], 2016, INV EM FONT VEIC REG
   [Anonymous], 2016, ST/ESA/SER.A/392
   [Anonymous], 2019, J, V41, P117
   Bai XM, 2010, ENVIRON SCI POLICY, V13, P312, DOI 10.1016/j.envsci.2010.03.011
   Banister D, 2011, J TRANSP GEOGR, V19, P1538, DOI 10.1016/j.jtrangeo.2011.03.009
   BBC (British Broadcasting Corporation), 2019, BRAZ FLOODS DEADL TO
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Canitez F, 2019, TECHNOL FORECAST SOC, V141, P319, DOI 10.1016/j.techfore.2019.01.008
   CCAS, 2016, CLIMATE CHANGE ADAPT
   Cervero R, 2013, J TRANSP LAND USE, V6, P7, DOI 10.5198/jtlu.v6i1.425
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Cimellaro GP, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101191
   Cleary M, 2014, J ADV NURS, V70, P473, DOI 10.1111/jan.12163
   Climate Adapt, 2022, EUR CLIM AD PLATF CL
   Costa JV., 2020, ENQUANTO RICOS FESTE
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   D'Lima M, 2015, TRANSPORT RES A-POL, V81, P35, DOI 10.1016/j.tra.2015.05.017
   Dawson R.J., 2016, UK Climate Change Risk Assessment Evidence Report: Chapter 4 Infrastructure
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Deng TT, 2013, J URBAN PLAN D, V139, P226, DOI 10.1061/(ASCE)UP.1943-5444.0000150
   Dereczynski CP., 2013, AM J CLIM CHANGE, V2, P25, DOI [10.4236/ajcc.2013.21003, DOI 10.4236/AJCC.2013.21003]
   Ferranti EJS., RAIL INFRASTRUCTURE
   Ferranti E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041609
   Ferranti E, 2018, METEOROL APPL, V25, P195, DOI 10.1002/met.1681
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Gakenheimer R, 1999, TRANSPORT RES A-POL, V33, P671, DOI 10.1016/S0965-8564(99)00005-1
   Galderisi A., 2020, City Territ. Archit, V7, P16, DOI DOI 10.1186/S40410-020-00123-W
   Geels FW, 2005, TECHNOL FORECAST SOC, V72, P681, DOI 10.1016/j.techfore.2004.08.014
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grix J, 2017, INT J SPORT POLICY P, V9, P203, DOI 10.1080/19406940.2017.1316761
   Hearn G, 2016, P I CIVIL ENG-MUNIC, V169, P146, DOI 10.1680/muen.15.00009
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   ITF, 2016, ITF RES REPORTS, DOI 10.1787/9789282108079-en
   Iturriza M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113054
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jacobs J.M., 2018, Impacts, Risks, and Adaptation in the United States: The Fourth National Climate Assessment, VII, P479, DOI DOI 10.7930/NCA4.2018.CH12
   Jaroszweski D, 2015, METEOROL APPL, V22, P470, DOI 10.1002/met.1477
   Jaroszweski D, 2014, PROG PHYS GEOG, V38, P448, DOI 10.1177/0309133314538741
   Jaroszweski D, 2010, J TRANSP GEOGR, V18, P331, DOI 10.1016/j.jtrangeo.2009.07.005
   Kassens-Noor E, 2018, J PLAN EDUC RES, V38, P13, DOI 10.1177/0739456X16683228
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Leviäkangas P, 2014, NAT HAZARDS, V72, P263, DOI 10.1007/s11069-013-0970-x
   Lomba-Fernández C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174727
   Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Molarius R, 2014, NAT HAZARDS, V72, P189, DOI 10.1007/s11069-013-0650-x
   Morichi S., 2005, J E ASIA SOC TRANSPO, V6, P1, DOI [10.11175/easts.6.1, DOI 10.11175/EASTS.6.1]
   Motte B, 2016, J TRANSP GEOGR, V51, P59, DOI 10.1016/j.jtrangeo.2015.10.019
   Murdock HJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103470
   Neiva HD, 2017, CLIMATE, V5, DOI 10.3390/cli5030052
   Network Rail, 2019, S E 2019 2024 ROUT C
   Noble Helen, 2015, Evid Based Nurs, V18, P34, DOI 10.1136/eb-2015-102054
   Palin EJ, 2013, CLIMATIC CHANGE, V120, P71, DOI 10.1007/s10584-013-0810-8
   PDTU, 2015, PLAN DIR TRANSP URB
   Pereira RHM, 2019, J TRANSP LAND USE, V12, P741, DOI 10.5198/jtlu.2019.1523
   PIARC, 2020, 178 PIARC WORLD ASS
   Quinn AD, 2018, INFRASTRUCTURES-BASE, V3, DOI 10.3390/infrastructures3020010
   Quinn F. H., 2003, POTENTIAL IMPACTS CL
   Rahmstorf S, 2011, P NATL ACAD SCI USA, V108, P17905, DOI 10.1073/pnas.1101766108
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Reiner M, 2017, SUSTAIN RESIL INFRAS, V2, P1, DOI 10.1080/23789689.2017.1278994
   Rio Resiliente, 2016, RES STRAT CIT RIO JA
   Roberts D, 2020, ENVIRON URBAN, V32, P547, DOI 10.1177/0956247820946555
   Rogers CDF, 2019, PROC INST CIV ENG-U, V172, P125, DOI 10.1680/jurdp.18.00010
   Schweikert A, 2014, PROCEDIA ENGINEER, V78, P306, DOI 10.1016/j.proeng.2014.07.072
   Scorcia H, 2019, CASE STUD TRANSP POL, V7, P395, DOI 10.1016/j.cstp.2019.01.010
   Shamout Sameh., 2021, Advanced Studies in Efficient Environmental Design and City Planning, P267
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Silva W.L., 2014, AM J CLIMATE CHANGE, V3, P353, DOI [10.4236/ajcc.2014.34031, DOI 10.4236/AJCC.2014.34031]
   Sistema Nacional de Informacoes Sobre Saneamento (SNIS), 2023, Diagnostico Tematico-Servicos de Agua e Esgoto
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   The Rockefeller Foundation, 2014, CIT RES FRAM
   Toplis C., 2015, International Climate Change Adaptation Framework for Road
   Turok I, 2016, AREA DEV POLICY, V1, P30, DOI 10.1080/23792949.2016.1166444
   UN United Nations, 2016, 1 GLOB SUST TRANSP O
   Urban Institute, 2018, I URB RES MIDT MON E
   Valarini E, 2019, INT J LAW CRIME JUST, V59, DOI 10.1016/j.ijlcj.2019.100340
   Wang JYT, 2015, CIV ENG ENVIRON SYST, V32, P180, DOI 10.1080/10286608.2015.1014810
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 91
TC 7
Z9 6
U1 8
U2 34
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 1755-0793
EI 1755-0807
J9 PROC INST CIV ENG-U
JI Proc. Inst. Civ. Eng.-Urban Des. Plan.
PD AUG
PY 2022
VL 175
IS 3
BP 103
EP 121
AR 2100006a
DI 10.1680/jurdp.21.00006a
EA JUL 2022
PG 19
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA 4O3QM
UT WOS:000825961000001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Mbegalo, T
   Theodory, TF
   Lyakurwa, F
AF Mbegalo, Tukae
   Theodory, Theobald Frank
   Lyakurwa, Felichesmi
TI The impact of smallholder farmers' knowledge on climate change
   adaptation on food security in Tanzania
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE Adaptation strategy; climate change; food security; local knowledge;
   smallholder farmers
ID INDIGENOUS KNOWLEDGE; PRODUCTIVITY; AGRICULTURE; STRATEGIES; POVERTY;
   SYSTEMS; SCIENCE; INCOME
AB Climate change poses a substantial threats to agriculture and food security in Sub-Saharan Africa, particularly in Tanzania. While research has proposed farm-level strategies to mitigate these impacts, empirical evidence on the effectiveness of local knowledge adaptation strategies and their influence on food security outcomes remains scarce. This study addresses this gap by examining the adaptation strategies employed by smallholder farmers in Kongwa District, Dodoma Region, Tanzania. Data were collected from a sample of 299 smallholder farmers using questionnaires, Focus Group Discussions, and interviews. Both qualitative and quantitative methods were applied, including the Generalised Linear Model to assess the effects of climate change on food security. Additionally, the Inverse Probability Weighted (IPW) and Nearest Neighbour Matching (NNM) techniques were used to estimate the average treatment effect of local knowledge on food security outcomes. The findings reveal significant adverse impacts of climate change on food security, with farmers increasingly relying on indigenous farming practices to enhance resilience. However, the study found no conclusive evidence linking drought and heavy rainfall to reductions in household dietary diversity or meal frequency. These insights are crucial for policymakers in Tanzania to formulate robust climate change adaptation strategies. The research underscores the importance of integrating local knowledge with scientific research and institutional support to optimize adaptation efforts in the region.
C1 [Mbegalo, Tukae] Mzumbe Univ, Dept Math & Stat Studies, Morogoro, Tanzania.
   [Theodory, Theobald Frank] Mzumbe Univ, Dept Environm & Sustainable Dev, Mzumbe, Tanzania.
   [Lyakurwa, Felichesmi] Mzumbe Univ, Dept Engn Management Studies, Mzumbe, Tanzania.
RP Mbegalo, T (corresponding author), Mzumbe Univ, Dept Math & Stat Studies, Morogoro, Tanzania.
EM tambegalo@mzumbe.ac.tz
FU Research on Poverty Alleviation (REPOA); Organisation for Research on
   Poverty Alleviation (REPOA)
FX This research was informed by funding received from the Organisation for
   Research on Poverty Alleviation (REPOA) in Dar es salaam, Tanzania, who
   had no role other than that of sponsor. We truly appreciate their trust
   to commit funds to our team to facilitate this research in the Dodoma
   Region.
CR Abass AB, 2014, J STORED PROD RES, V57, P49, DOI 10.1016/j.jspr.2013.12.004
   Abdul-Razak M, 2017, CLIM RISK MANAG, V17, P104, DOI 10.1016/j.crm.2017.06.001
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Adeyeye SAO, 2023, CRIT REV FOOD SCI, V63, P641, DOI 10.1080/10408398.2021.1952160
   Adhikari U, 2015, FOOD ENERGY SECUR, V4, P110, DOI 10.1002/fes3.61
   Agrawal A, 2002, INT SOC SCI J, V54, P287, DOI 10.1111/1468-2451.00382
   Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   Akpan AI, 2023, ENVIRONMENTS, V10, DOI 10.3390/environments10040057
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Altieri MA, 2012, AGRON SUSTAIN DEV, V32, P1, DOI 10.1007/s13593-011-0065-6
   Alves R. R. N., 2018, Ethnozoology: animals in our lives, P383
   Ampaire E., 2016, Barriers to successful climate change policy implementation in Tanzania Findings from a desk review and exploratory studies in Lushoto, Kilolo and Bagamoyo Districts, Tanzania
   Anderson W, 2021, NAT FOOD, V2, P603, DOI 10.1038/s43016-021-00327-4
   [Anonymous], 2015, Regional overview of food insecurity: African food insecurity prospects brighter than ever
   Atuoye KN, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105154
   Audefroy J.F., 2017, International Journal of Sustainable Built Environment, V6, P228, DOI [10.1016/j.ijsbe.2017.03.007, DOI 10.1016/J.IJSBE.2017.03.007]
   Awazi N. P., 2021, African handbook of climate change adaptation, P87, DOI [10.1007/978-3-030-45106-69, DOI 10.1007/978-3-030-45106-69, https://doi.org/10.1007/978-3-030-45106-69]
   Rahut DB, 2017, INT J DISAST RISK RE, V24, P515, DOI 10.1016/j.ijdrr.2017.05.006
   Basdew M., 2017, Change and Adaptation in Socio-Ecological Systems, V3, DOI DOI 10.1515/CASS-2017-0006
   Bedeke S, 2019, NJAS-WAGEN J LIFE SC, V88, P96, DOI 10.1016/j.njas.2018.09.001
   Boamah F, 2014, GEOFORUM, V54, P324, DOI 10.1016/j.geoforum.2013.10.009
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Carpena F, 2019, WORLD DEV, V122, P349, DOI 10.1016/j.worlddev.2019.06.005
   Clarke B, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7d
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   De Guchteneire P., 1999, Best practices on indigenous knowledge
   Derbile E. K., 2014, Information and Knowledge Management, V4, P24
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Elliott B, 2012, J ENVIRON PUBLIC HEA, V2012, DOI 10.1155/2012/130945
   File DJMB, 2023, COGENT SOC SCI, V9, DOI 10.1080/23311886.2023.2228064
   Geest K. v d., 2004, Were managing!: climate change and livelihood vulnerability in Northwest Ghana
   Golo BWK, 2013, NAT CULT, V8, P282, DOI 10.3167/nc.2013.080304
   Gomez-Zavaglia A, 2020, FOOD RES INT, V134, DOI 10.1016/j.foodres.2020.109256
   Gunaratne MS, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-00917-4
   Hanjra M.A., 2020, ROLE SMALLHOLDER FAR, P99
   Hansa Lakhran Hansa Lakhran, 2017, Trends in Biosciences, V10, P516
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   Imai K, 2014, J R STAT SOC B, V76, P243, DOI 10.1111/rssb.12027
   Jha S, 2019, GLOBAL PLANET CHANGE, V176, P23, DOI 10.1016/j.gloplacha.2019.01.014
   Kahimba F. C., 2015, Tanzania Journal of Agricultural Sciences, V14(1), 21-33.
   Kom Z, 2024, AGR RES, V13, P599, DOI 10.1007/s40003-024-00716-8
   Filho WL, 2022, ENVIRON SCI POLICY, V136, P250, DOI 10.1016/j.envsci.2022.06.004
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mangenya E., 2021, Journal of the Geographical Association of Tanzania, V39, P173, DOI [https://doi.org/10.56279/jgat.v39i1.39, DOI 10.56279/JGAT.V39I1.39]
   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]
   Mbanasor JA, 2024, SMART AGR TECHNOL, V8, DOI 10.1016/j.atech.2024.100494
   Mburu B. K., 2015, African Journal of Environmental Science and Technology, V9, P712
   Mkonda M. Y., 2018, Agriculture and Food Security, V7, DOI 10.1186/s40066-018-0228-7
   Mkonda MY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081490
   Mlengule D., 2019, Tanzania Journal for Population Studies and Development, V26, P53, DOI [https://doi.org/10.56279/tjpsd.v26i2.100, DOI 10.56279/TJPSD.V26I2.100]
   Mohammed AS., 2013, Journal of Environmental Science and Engineering B, V2, P350
   Morrison KT, 2011, APPL GEOGR, V31, P1262, DOI 10.1016/j.apgeog.2010.11.020
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Mugambiwa SS, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.388
   Myeya Helena Elias, 2021, Tanzania Journal of Science, V47, P1424, DOI 10.4314/tjs.v47i4.8
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Nelson G. C., 2009, Food policy reports
   Niang I., 2014, IPCC, 2014; climate change 2014: Impacts, adaptation, and vulnerability. Part B: Regional aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Nnko HJ, 2021, J ARID ENVIRON, V185, DOI 10.1016/j.jaridenv.2020.104337
   Nyang'au JO, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06789
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   OCHA, 2015, Botswana: Vulnerability assessment committee results 2015
   Oguge N., 2021, African Handbook of Climate Change Adaptation
   Oreggioni GD, 2021, GLOBAL ENVIRON CHANG, V70, DOI 10.1016/j.gloenvcha.2021.102350
   Ponge A., 2013, NTERN C ENH FOOD SEC
   Saddique Q, 2020, MITIG ADAPT STRAT GL, V25, P1523, DOI 10.1007/s11027-020-09935-0
   Said M, 2019, REG ENVIRON CHANGE, V19, P2521, DOI 10.1007/s10113-019-01568-7
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   See J, 2024, WORLD DEV, V176, DOI 10.1016/j.worlddev.2023.106503
   Senanayake S.G.J.N., 2006, The Journal of Agricultural Sciences, V2, DOI [10.4038/jas.v2i1.8117, DOI 10.4038/JAS.V2I1.8117]
   Shemsanga C., 2010, J AM SCI, V6, P182, DOI [https://doi.org/10.7537/marsjas060310.24, DOI 10.7537/MARSJAS060310.24]
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Temba A. N., 2023, Ghana Journal of Geography, V15, P184, DOI [https://doi.org/10.4314/gjg.v15i2.10, DOI 10.4314/GJG.V15I2.10]
   Tenzing JD, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.626
   Theodory T. F., 2014, Indigenous knowledge as a base of climate change adaptation: Perspectives from communities living along Ngono River Basin, Tanzania
   Theodory T. F., 2016, Dealing with change
   Theodory TF, 2021, AFR J SCI TECHNOL IN, V13, P51, DOI 10.1080/20421338.2020.1816615
   Thompson J, 2009, ENVIRON SCI POLICY, V12, P386, DOI 10.1016/j.envsci.2009.03.001
   Tirado MC, 2015, J HUNGER ENVIRON NUT, V10, P22, DOI 10.1080/19320248.2014.908447
   UNDP, 2022, Tanzania-UNDP climate change adaptation
   Yamane T., 1967, ELEMENTARY SAMPLING
   Yaro J.A., 2016, ADAPTATION CLIMATE C, P59, DOI DOI 10.1007/978-3-319-31499-0_5
   Yaro J. A., 2004, Combating food insecurity in Northern Ghana: Rural livelihood strategies in Kajelo, Chiana and Korania
   Yaro JA, 2006, J MOD AFR STUD, V44, P125, DOI 10.1017/S0022278X05001448
   Yaro JA., 2016, Adaptation to climate change and variability in Rural West Africa, DOI [10.1007/978-3-319-31499-0, DOI 10.1007/978-3-319-31499-0]
   Yegbemey RN, 2021, CLIM DEV, V13, P593, DOI 10.1080/17565529.2020.1844129
   Yeleliere E, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e19656
   ,, 2021, The state of food security and nutrition in the world 2021: transforming food systems for food security, improved nutrition and affordable healthy diets for all, DOI 10.4060/cb4474en
NR 90
TC 0
Z9 0
U1 3
U2 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2417815
DI 10.1080/23311886.2024.2417815
PG 23
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA K8S7F
UT WOS:001346545800001
OA gold
DA 2025-01-10
ER

PT J
AU Skinner, W
   Bardsley, DK
   Drew, G
AF Skinner, William
   Bardsley, Dougles K.
   Drew, Georgina
TI Post-crisis risk management: water, community, and adaptation in a South
   Australian irrigation district
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE basin management; climate change adaptation; community; crisis;
   governance; hydrosocial; irrigation; Murray-Darling Basin; resilience;
   risk; South Australia
ID MURRAY-DARLING BASIN; CLIMATE-CHANGE ADAPTATION; FUTURE; AGRICULTURE;
   CRISIS; POLICY; ENGAGEMENT; DISTRESS; SECURITY; DROUGHT
AB Farmers in the Langhorne Creek-Angas Bremer basin irrigation district of South Australia have faced a series of hydrosocial crises relating to drought and groundwater depletion and degradation. The crises have been negotiated through concerted community engagement and cooperation. Adaptation responses have included a combination of infrastructural development and changes to the licensing, regulation, and oversight of irrigation governance, easing extraction pressures on the local groundwater catchment. However, new risks have emerged in the wake of, and as a result of, these solutions. One aspect of the solution has been to connect the Angas Bremer basin district more intimately to the much larger continental riverine system, the Murray-Darling basin, which stretches across multiple regional and state jurisdictions. The very success of that scalar response to hydrological risk generates broader systemic risks: to water supply and quality from climate change and upstream extraction; to basin governance; and to community cohesion, engagement, flexibility, and resilience. In a post-crisis period, there is a need to understand the emergent risks from transformational adaptation and guard against complacency to ensure that the hydrosocial qualities of flexibility and resilience that enabled positive responses to the initial crises endure to respond to future crises in water supply and its management.
C1 [Skinner, William; Bardsley, Dougles K.; Drew, Georgina] Univ Adelaide, Adelaide, Australia.
C3 University of Adelaide
RP Skinner, W (corresponding author), Univ Adelaide, Adelaide, Australia.
OI Drew, Georgina/0000-0002-5087-7551
CR Abel N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08422-210223
   Alexandra J, 2021, WATER ALTERN, V14, P773
   Anderson K., 2015, Growth and cycles in Australias wine industry: a statistical compendium, 1843 to 2013., DOI [10.20851/austwine, DOI 10.20851/AUSTWINE]
   Angas Bremer Water Management Committee, 2022, Angas Bremer irrigation management zone 20212022 annual report
   Bardsley DK, 2020, J RURAL STUD, V80, P503, DOI 10.1016/j.jrurstud.2020.10.034
   Bardsley DK, 2018, J RURAL STUD, V63, P24, DOI 10.1016/j.jrurstud.2018.08.015
   Bardsley DK, 2011, SOC NATUR RESOUR, V24, P1, DOI 10.1080/08941920802287163
   Beck U, 2005, BRIT J SOCIOL, V56, P525, DOI 10.1111/j.1468-4446.2005.00082.x
   Beck U, 2003, THEOR CULT SOC, V20, P1, DOI 10.1177/0263276403020002001
   Beck U., 1992, Risk society: Towards a new modernity, V17
   Beck Ulrich., 2016, METAMORPHOSIS WORLD
   Bjrnlund H., 1995, PROP MANAG, V13, P14, DOI [10.1108/02637479510083771, DOI 10.1108/02637479510083771]
   Boelens R, 2016, WATER INT, V41, P1, DOI 10.1080/02508060.2016.1134898
   Boin A., 2018, Handbook of Disaster Research, P23, DOI DOI 10.1007/978-3-319-63254-4_2
   Bozzola M, 2014, ENVIRON SCI POLICY, V43, P26, DOI 10.1016/j.envsci.2013.12.002
   Bryant L, 2014, J RURAL STUD, V34, P304, DOI 10.1016/j.jrurstud.2014.03.006
   Bryant L, 2013, J RURAL STUD, V32, P1, DOI 10.1016/j.jrurstud.2013.03.002
   Cai WJ, 2014, J CLIMATE, V27, P3145, DOI 10.1175/JCLI-D-13-00322.1
   Connor J, 2009, AUST J AGR RESOUR EC, V53, P437, DOI 10.1111/j.1467-8489.2009.00460.x
   Cuadrado-Quesada G, 2022, Governing groundwater: between law and practice, DOI [10.1007/978-3-030-92778-3_3, DOI 10.1007/978-3-030-92778-3_3]
   Cuadrado-Quesada G, 2019, WATER POLICY, V21, P1050, DOI 10.2166/wp.2019.209
   Drew G, 2022, ANTHROPOL TODAY, V38, P5, DOI 10.1111/1467-8322.12725
   Dunham JB, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1291
   Eaton WM, 2021, SOC NATUR RESOUR, V34, P1111, DOI 10.1080/08941920.2021.1936717
   Enqvist JP, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1354
   Fragaszy S, 2021, J POLIT ECOL, V28, P286
   Giddens Anthony., 1999, The Modern Law Review, V62, P1, DOI DOI 10.1111/1468-2230.00188
   Goldman M, 2019, WATER INT, V44, P95, DOI 10.1080/02508060.2019.1578078
   Götz JM, 2020, POLIT GEOGR, V78, DOI 10.1016/j.polgeo.2019.102115
   Haeffner M, 2020, NAT HAZARDS, V103, P3303, DOI 10.1007/s11069-020-04131-4
   Hamilton S., 2021, Sold down the river: how robber barons and wall street traders cornered Australia's water market
   Harris Bryan, 1993, AGSO Journal of Australian Geology and Geophysics, V14, P167
   Hemming S, 2017, ECOL SOC, V22, DOI 10.5751/ES-08982-220213
   Hindmarsh R, 2012, LOCAL ENVIRON, V17, P1121, DOI 10.1080/13549839.2012.729564
   Hurlbert M, 2016, ENVIRON SCI POLICY, V58, P83, DOI 10.1016/j.envsci.2016.01.004
   Ioris A. A. R., 2017, AGRIBUSINESS NEOLIBE
   Jackson S, 2020, GEOFORUM, V109, P44, DOI 10.1016/j.geoforum.2019.12.020
   Johnson H., 2013, The World Atlas of Wine, V7th
   Kaplan S., RISK ANAL, V1, P11
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1615, DOI 10.1016/j.gloenvcha.2013.09.006
   Kinzig AP, 2006, ECOL SOC, V11
   Kirby M, 2014, AGR WATER MANAGE, V145, P154, DOI 10.1016/j.agwat.2014.02.013
   Kumar S, 2022, GEOFORUM, V129, P107, DOI 10.1016/j.geoforum.2022.01.009
   Lankford B., 2010, Water Alternatives, V3, P82
   Lawrence G, 2013, J RURAL STUD, V29, P30, DOI 10.1016/j.jrurstud.2011.12.005
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2014.08.003, 10.1016/j.geoforum.2013.10.008]
   Linton J, 2014, WIRES WATER, V1, P111, DOI 10.1002/wat2.1009
   Mark BG, 2017, GLOBAL PLANET CHANGE, V159, P61, DOI 10.1016/j.gloplacha.2017.10.003
   McCulligh C, 2020, LOCAL ENVIRON, V25, P576, DOI 10.1080/13549839.2020.1805598
   Mercer D, 2007, FUTURES, V39, P272, DOI 10.1016/j.futures.2006.01.009
   Ostrom E., 2003, WATER RESOURCES IMPA, V5, P9
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P708, DOI 10.1016/j.cosust.2013.10.012
   Pearson R, 2022, ENVIRON INNOV SOC TR, V42, P74, DOI 10.1016/j.eist.2021.11.006
   Ray P, 2020, CLIMATIC CHANGE, V161, P177, DOI 10.1007/s10584-020-02655-z
   Ross A, 2020, HYDROLOG SCI J, V65, P1443, DOI 10.1080/02626667.2020.1761023
   Seidl C, 2021, J RURAL STUD, V83, P187, DOI 10.1016/j.jrurstud.2020.10.048
   Seidl C, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124399
   Sendziuk Paul., 2018, HIST S AUSTR
   Shalsi S, 2022, J HYDROL, V608, DOI 10.1016/j.jhydrol.2022.127658
   Shalsi S, 2019, HYDROGEOL J, V27, P2471, DOI 10.1007/s10040-019-01986-1
   Shaluf I.M., 2003, Disaster Prev. Manag. Int. J, V12, P24, DOI [10.1108/09653560310463829, DOI 10.1108/09653560310463829]
   Sim T., 2004, Angas Bremer regional history
   Sim T., 2004, FRESH HIST LAKES WEL
   Skinner W, 2023, AGR HUM VALUES, V40, P549, DOI 10.1007/s10460-022-10355-w
   Smith W. B., 1986, Bleasdale 1850-1986: incorporating the Bleasdale family history and a continuation of the Bleasdale story from 1950
   Sojamo S, 2012, WATER INT, V37, P169, DOI 10.1080/02508060.2012.662734
   Stone D., 2016, Coorong, Lower Lakes, and Murray Mouth water quality monitoring program 2009-2016: summary report
   Taing LN, 2019, URBAN WATER J, V16, P530, DOI 10.1080/1573062X.2019.1669190
   Tierney K., 2014, The Social Roots of Risk, P125, DOI [10.1515/9780804791403, DOI 10.1515/9780804791403]
   Trezona R., 2005, Australian and New Zealand Grapegrower and Winemaker, V495, P56
   Trimble M, 2022, ECOL SOC, V27, DOI 10.5751/ES-13356-270242
   United Nations Office for Disaster Risk Reduction, 2009, 2009 UNISDR terminology on disaster risk reduction
   van der Linden S, 2015, PERSPECT PSYCHOL SCI, V10, P758, DOI 10.1177/1745691615598516
   Verrier P. D., 1977, brief history of Langhorne Creek and its school
   Waterhouse J. D., 1978, The hydrogeology of the Angas-Bremer irrigation area
   Wesselink A, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1196
   Wheeler S, 2014, J HYDROL, V518, P28, DOI 10.1016/j.jhydrol.2013.09.019
   Wheeler SA, 2022, AUST J AGR RESOUR EC, V66, P797, DOI 10.1111/1467-8489.12490
   Wheeler SA, 2018, J RURAL STUD, V62, P183, DOI 10.1016/j.jrurstud.2018.08.006
   Williams M., 1992, The changing rural landscape of South Australia, VSecond
NR 82
TC 2
Z9 2
U1 1
U2 9
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD JAN
PY 2024
VL 29
IS 1
AR 10
DI 10.5751/ES-14789-290110
PG 12
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HB6M8
UT WOS:001157068800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kaewunruen, S
   AbdelHadi, M
   Kongpuang, M
   Pansuk, W
   Remennikov, AM
AF Kaewunruen, Sakdirat
   AbdelHadi, Mohannad
   Kongpuang, Manwika
   Pansuk, Withit
   Remennikov, Alex M.
TI Digital Twins for Managing Railway Bridge Maintenance, Resilience, and
   Climate Change Adaptation
SO SENSORS
LA English
DT Article
DE digital twin; railway maintenance; asset management; sustainability;
   BIM; life cycle; circular economy; materials stock flow; resilience;
   climate change adaptation
ID LIFE-CYCLE MANAGEMENT; STEEL; INFRASTRUCTURE; CARBONATION; EMISSIONS;
   CORROSION; SELECTION; IMPACT; BIM
AB Innovative digital twins (DTs) that allow engineers to visualise, share information, and monitor the condition during operation is necessary to optimise railway construction and maintenance. Building Information Modelling (BIM) is an approach for creating and managing an inventive 3D model simulating digital information that is useful to project management, monitoring and operation of a specific asset during the whole life cycle assessment (LCA). BIM application can help to provide an efficient cost management and time schedule and reduce the project delivery time throughout the whole life cycle of the project. In this study, an innovative DT has been developed using BIM integration through a life cycle analysis. Minnamurra Railway Bridge (MRB), Australia, has been chosen as a real-world use case to demonstrate the extended application of BIM (i.e., the DT) to enhance the operation, maintenance and asset management to improve the sustainability and resilience of the railway bridge. Moreover, the DT has been exploited to determine GHG emissions and cost consumption through the integration of BIM. This study demonstrates the feasibility of DT technology for railway maintenance and resilience optimisation. It also generates a virtual collaboration for co-simulations and co-creation of values across stakeholders participating in construction, operation and maintenance, and enhancing a reduction in costs and GHG emission.
C1 [Kaewunruen, Sakdirat; AbdelHadi, Mohannad] Univ Birmingham, Sch Engn, Dept Civil Engn, Birmingham B15 2TT, England.
   [Kongpuang, Manwika] Prince Songkla Univ, Dept Min & Mat Engn, Hat Yai 90110, Thailand.
   [Pansuk, Withit] Chulalongkorn Univ, Fac Engn, Ctr Excellence Innovat Construct Mat, Dept Civil Engn, Bangkok 10330, Thailand.
   [Remennikov, Alex M.] Univ Wollongong, Sch Civil Min & Environm Engn, Wollongong, NSW 2522, Australia.
C3 University of Birmingham; Prince of Songkla University; Chulalongkorn
   University; University of Wollongong
RP Kaewunruen, S (corresponding author), Univ Birmingham, Sch Engn, Dept Civil Engn, Birmingham B15 2TT, England.
EM s.kaewunruen@bham.ac.uk
RI Kongpuang, Manwika/GQR-2480-2022; Remennikov, Alex/GMW-4559-2022;
   Kaewunruen, Sakdirat/A-6793-2008
OI Remennikov, Alex/0000-0002-1532-5719; Pansuk,
   Withit/0000-0001-8910-2043; Kongpuang, Manwika/0000-0001-5113-0903;
   Kaewunruen, Sakdirat/0000-0003-2153-3538
FU European Commission; H2020-RISE Project [691135]; Japan Society for the
   Promotion of Sciences [JSPS-L15701]; MDPI's Invited Paper Initiative
FX The research was funded by the European Commission for the financial
   sponsorship of the H2020-RISE Project No. 691135; and by Japan Society
   for the Promotion of Sciences for Invitation Research Fellowship
   (Long-term), Grant No. JSPS-L15701. The APC is sponsored by the MDPI's
   Invited Paper Initiative.
CR Aguiar JB, 2013, CONSTR BUILD MATER, V49, P478, DOI 10.1016/j.conbuildmat.2013.08.058
   Åkerman J, 2011, TRANSPORT RES D-TR E, V16, P208, DOI 10.1016/j.trd.2010.12.004
   [Anonymous], 2018, 196501 BS ISO
   [Anonymous], 2019, 1406412019 ISO
   [Anonymous], 1406412019 ISO
   ANSYS, 2022, ANS GRANT ED PACK
   Atkinson Lucy, 2014, 2014 International Conference on Computing in Civil and Building Engineering. Proceedings, P520
   Autodesk.co.uk, 2022, REV VS AUTOCAD COMP
   Autodesk.co.uk, 2022, NAV GET PRIC BUY NAV
   Ayinla KO, 2018, ENG CONSTR ARCHIT MA, V25, P1398, DOI 10.1108/ECAM-05-2017-0091
   Azhar S., 2011, LEADERSH MANAG ENG, V11, P241, DOI [10.1061/(ASCE)LM.1943-5630.0000127, DOI 10.1061/(ASCE)LM.1943-5630.0000127]
   Beach T, 2017, J COMPUT CIVIL ENG, V31, DOI 10.1061/(ASCE)CP.1943-5487.0000657
   Besinovic N, 2020, TRANSPORT REV, V40, P457, DOI 10.1080/01441647.2020.1728419
   BIMTalk, 2016, LEVEL BIM MAT
   Boukezzi L, 2021, EUR J ENVIRON CIV EN, V25, P117, DOI 10.1080/19648189.2018.1518792
   Bryde D, 2013, INT J PROJ MANAG, V31, P971, DOI 10.1016/j.ijproman.2012.12.001
   Calcada R., 2022, RAIL INFRASTRUCTURE, V1st, DOI [10.1016/c2019-0-01267-8, DOI 10.1016/C2019-0-01267-8]
   Chinowsky P, 2019, TRANSPORT POLICY, V75, P183, DOI 10.1016/j.tranpol.2017.05.007
   Consilvio A, 2019, EURO J TRANSP LOGIST, V8, P435, DOI 10.1007/s13676-018-0117-z
   Costin A, 2018, AUTOMAT CONSTR, V94, P257, DOI 10.1016/j.autcon.2018.07.001
   DAVIDSON IN, 1995, J COMPUT CIVIL ENG, V9, P9, DOI 10.1061/(ASCE)0887-3801(1995)9:1(9)
   Dimitrova E., 2021, P 2021 13 ELECT ENG, P1
   Dinmohammadi F, 2019, J QUAL MAINT ENG, V25, P272, DOI 10.1108/JQME-11-2016-0070
   Doumbouya L., 2016, Am. J. Civ. Eng. Archit, V4, P74
   Du GL, 2014, STRUCT INFRASTRUCT E, V10, P277, DOI 10.1080/15732479.2012.749289
   Eadie R, 2013, AUTOMAT CONSTR, V36, P145, DOI 10.1016/j.autcon.2013.09.001
   Ekolu SO, 2016, CONSTR BUILD MATER, V127, P306, DOI 10.1016/j.conbuildmat.2016.09.056
   Esveld C., 2001, MODERN RAILWAY TRACK, VSecond
   Eynon J., 2016, CONSTRUCTION MANAGER
   Famurewa SM, 2015, STRUCT INFRASTRUCT E, V11, P957, DOI 10.1080/15732479.2014.921929
   Fan ZY, 2021, JOULE, V5, P829, DOI 10.1016/j.joule.2021.02.018
   Garmabaki AHS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413856
   González MJ, 2006, BUILD ENVIRON, V41, P902, DOI 10.1016/j.buildenv.2005.04.006
   Griffin Dane W. P., 2014, IES Journal Part A: Civil & Structural Engineering, V7, P243, DOI 10.1080/19373260.2014.947909
   Han X, 2021, ENG STRUCT, V243, DOI 10.1016/j.engstruct.2021.112633
   Hardin B, 2015, BIM and Construction Management: Proven Tools, Methods, and Workflows
   Holmgren M, 2005, J QUAL MAINT ENG, V11, P5, DOI 10.1108/13552510510589343
   Hong L, 2015, RELIAB ENG SYST SAFE, V137, P58, DOI 10.1016/j.ress.2014.12.013
   Jena T, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313000
   Jing R, 2019, ENVIRON PROG SUSTAIN, V38, P47, DOI 10.1002/ep.13125
   Kaewunruen S., 2016, FRONT BUIL ENV, V3, P6, DOI [DOI 10.3389/FBUIL.2016.00004, 10.3389/fbuil.2016.00004]
   Kaewunruen Sakdirat, 2021, Open Res Eur, V1, P91, DOI 10.12688/openreseurope.13806.2
   Kaewunruen S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042051
   Kaewunruen S, 2021, J CLEAN PROD, V285, DOI 10.1016/j.jclepro.2020.124890
   Kaewunruen S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197873
   Kaewunruen S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062436
   Kaewunruen S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010206
   Kaewunruen S, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00077
   Kaewunruen S, 2019, J CLEAN PROD, V228, P1537, DOI 10.1016/j.jclepro.2019.04.156
   Kaewunruen S, 2015, FRONT ENV SCI-SWITZ, V3, DOI 10.3389/fenvs.2015.00006
   KAYSER JR, 1989, J STRUCT ENG-ASCE, V115, P1525, DOI 10.1061/(ASCE)0733-9445(1989)115:6(1525)
   Kostianaia EA, 2021, TRANSP TELECOMMUN J, V22, P183, DOI 10.2478/ttj-2021-0014
   Kumar B., 2015, PRACTICAL GUIDE ADOP
   Le Maout E., 2016, ASIAN TRANSP STUD, V4, P245
   Lee YJ, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17040936
   Lewis SR, 2015, WEAR, V330, P581, DOI 10.1016/j.wear.2015.02.027
   Macedo R., 2017, ELECT NOTES DISCRETE, V58, P215, DOI 10.1016/j.endm.2017.03.028
   Martínez-Muñoz D, 2020, ADV CIV ENG, V2020, DOI 10.1155/2020/8823370
   Mirza O, 2016, ENG FAIL ANAL, V60, P280, DOI 10.1016/j.engfailanal.2015.11.054
   Mojtahedi M, 2017, INT J PROJ MANAG, V35, P841, DOI 10.1016/j.ijproman.2017.02.006
   Nadeem A, 2015, ARAB J SCI ENG, V40, P2465, DOI 10.1007/s13369-015-1657-2
   Nguyen MN, 2012, P I MECH ENG F-J RAI, V226, P513, DOI 10.1177/0954409712441743
   Nielsen D, 2013, P I MECH ENG F-J RAI, V227, P570, DOI 10.1177/0954409713501297
   Ozkurtoglu B.H, 2022, SDGS EUROPEAN REGION
   Sa'adin SLB, 2016, P I CIVIL ENG-TRANSP, V169, P308, DOI 10.1680/jtran.16.00031
   Safa M, 2014, AUTOMAT CONSTR, V48, P64, DOI 10.1016/j.autcon.2014.08.008
   Sasidharan M, 2020, RES TRANSP ECON, V80, DOI 10.1016/j.retrec.2020.100815
   Sathiyanarayanan S, 2005, PROG ORG COAT, V53, P297, DOI 10.1016/j.porgcoat.2005.03.007
   Seo S, 2021, ADV STRUCT ENG, V24, P1415, DOI 10.1177/1369433220980524
   Setsobhonkul S., 2017, FRONT BUILT ENVIRON, V3, P35, DOI [10.3389/fbuil.2017.00035, DOI 10.3389/FBUIL.2017.00035]
   Setunge S, 2014, AFAC BUSHF NAT HAZ C
   Shi J., 2010, CCS, V38, P1753
   Silva EA, 2017, AUST J STRUCT ENG, V18, P160, DOI 10.1080/13287982.2017.1382045
   Stenström C, 2016, STRUCT INFRASTRUCT E, V12, P603, DOI 10.1080/15732479.2015.1032983
   Succar B, 2009, AUTOMAT CONSTR, V18, P357, DOI 10.1016/j.autcon.2008.10.003
   Tsiropoulos I., 2020, NET ZERO EMISSIONS E, DOI [10.2760/062347, DOI 10.2760/062347]
   Ummenhofer CC, 2013, J CLIMATE, V26, P8476, DOI 10.1175/JCLI-D-12-00860.1
   Vögele S, 2020, CLIMATIC CHANGE, V162, P1763, DOI 10.1007/s10584-019-02366-0
   Zou Y, 2017, SAFETY SCI, V97, P88, DOI 10.1016/j.ssci.2015.12.027
NR 79
TC 40
Z9 41
U1 38
U2 225
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
J9 SENSORS-BASEL
JI Sensors
PD JAN
PY 2023
VL 23
IS 1
AR 252
DI 10.3390/s23010252
PG 22
WC Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments
   & Instrumentation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Instruments & Instrumentation
GA 7Q8YP
UT WOS:000909670200001
PM 36616851
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Abad, J
   Booth, L
   Baills, A
   Fleming, K
   Leone, M
   Schueller, L
   Petrovic, B
AF Abad, Jaime
   Booth, Laura
   Baills, Audrey
   Fleming, Kevin
   Leone, Mattia
   Schueller, Lynn
   Petrovic, Bojana
TI Assessing policy preferences amongst climate change adaptation and
   disaster risk reduction stakeholders using serious gaming
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
ID GAMES
AB The ESPREssO Project set out to propose ways to inform more coherent national and European approaches on Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA). A critical step in this process is the identification of existing barriers to effective collaboration, finding new areas of common ground, and ways to enhance co-operation with regards to CCA and DRR policymaking in Europe. This is particularly important considering the potential relationships between CCA and DRR activities at the regional, national, European and global levels.
   Serious games have emerged as a valuable tool to communicate information and catalyse discussion in many policy arenas. The games have the power to inform, mainly by exposing strengths and weaknesses of a system but not necessarily create policy choices. This paper presents the development process and rationale behind creation of RAMSETE I, a serious game developed by and for the ESPREssO Project to elicit information from its stakeholders in aiming to inform synergies between CCA and DRR sectors. The results assess its application as a device to frame discussions during an international Think Tank workshop. The serious game focused on three particular aspects of CCA and DRR policy interactions: (1) separation of administrative responsibilities and the use of different terminology, (2) the ongoing competition for funding and political will as well as (3) difficulties regarding the top-down implementation of policies.
   The rules and design process are presented briefly, before going in-depth into the information gleaned during its application in the workshop.
C1 [Abad, Jaime] Bur Rech Geol & Minieres, Direct Reg Hauts France, Arteparc Batiment A,2 Rue Peupliers, F-59810 Lesquin, France.
   [Booth, Laura] Swiss Fed Inst Technol, Swiss Fed Inst Technol, Univ Str 22,CHN J71, CH-8092 Zurich, Switzerland.
   [Baills, Audrey] Bur Rech Geol & Minieres, 3 Ave Claude Guillemin, F-45060 Orleans, France.
   [Fleming, Kevin; Petrovic, Bojana] GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany.
   [Leone, Mattia] Univ Napoli Federico II, PLINIVS Study Ctr, Via Toledo 402, I-80134 Naples, Italy.
   [Schueller, Lynn] DKKV German Comm Disaster Reduct, Kaiser Friedrichstr 13, D-53113 Bonn, Germany.
   [Petrovic, Bojana] OGS Natl Inst Oceanog & Expt Geophys, Borgo Grotta Gigante 42-C, I-34010 Sgonico, TS, Italy.
C3 Bureau de Recherches Geologiques et Minieres (BRGM); Swiss Federal
   Institutes of Technology Domain; ETH Zurich; Bureau de Recherches
   Geologiques et Minieres (BRGM); Helmholtz Association; Helmholtz-Center
   Potsdam GFZ German Research Center for Geosciences; University of Naples
   Federico II; Istituto Nazionale di Oceanografia e di Geofisica
   Sperimentale
RP Baills, A (corresponding author), Bur Rech Geol & Minieres, 3 Ave Claude Guillemin, F-45060 Orleans, France.
EM a.baills@brgm.fr
RI Leone, Mattia/L-4807-2018; Fleming, Kevin/AAY-2253-2020; Baills,
   Audrey/KBB-0420-2024
OI Fleming, Kevin Michael/0000-0001-8449-3081; Booth,
   Laura/0000-0001-7954-1392; Petrovic, Bojana/0000-0003-3985-2959; LEONE,
   MATTIA FEDERICO/0000-0003-2434-509X; Baills, Audrey/0000-0002-5958-6582
FU European Union's Horizon 2020 research and innovation programme [700342,
   DRS-10-2015]
FX The work presented in this paper was undertaken as part of the ESPREssO
   project (Grant agreement 700342) supported by the European Union's
   Horizon 2020 research and innovation programme under the topic
   DRS-10-2015: Disaster Resilience and Climate Change topic 2: Natural
   Hazards: Towards risk reduction science and innovation plans at national
   and European level. ESPREssO partners would like to thank all
   stakeholders for their input to the project.
CR Abt ClarkC., 1970, SERIOUS GAMES
   Ampatzidou C, 2018, URBAN PLAN, V3, P34, DOI 10.17645/up.v3i1.1261
   [Anonymous], 2011, SERIOUS GAMES EDUTAI, DOI DOI 10.1007/978-1-4471-2161-9_3
   [Anonymous], 2006, HDB PUBLIC POLICY AN
   Aubert AH, 2018, ENVIRON MODELL SOFTW, V105, P64, DOI 10.1016/j.envsoft.2018.03.023
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Booth L, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101668
   Danni, 2009, DO STOCK MARKETS PRI
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   EEA, 2005, POL EFF EV EFF URB W
   ESPREssO, 2017, OV OBST DIS PREV CHA, P41
   ESPREssO, 2017, D 2 1 SYNTH REP LEG, P355
   ESPREssO, 2017, D5 6 REP SOC IMP CON, P42
   Fleming K, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101669
   Goetz KH, 2009, J EUR PUBLIC POLICY, V16, P180, DOI 10.1080/13501760802589198
   Hunicke R., 2004, AAAI WORKSH
   Lauta K.C., 2018, ESPRESSO ENHANCING R
   Michael D., 2006, SERIOUS GAMES ELECT, P287
   Mitchell Tom., 2008, Convergence of Disaster Risk Reduction and Climate Change Adaptation
   Moats JB, 2008, ADV DEV HUM RESOUR, V10, P397, DOI 10.1177/1523422308316456
   Platt S., 2014, 2 EUR C EARTHQ ENG S, P25
   Schueller L, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101802
   Shaw R, 2010, COMM ENV DISAST RISK, V4, P1, DOI 10.1108/S2040-7262(2010)0000004007
   Solinska-Nowak A, 2018, INT J DISAST RISK RE, V31, P1013, DOI 10.1016/j.ijdrr.2018.09.001
   Taillandier F, 2018, SIMULAT GAMING, V49, P441, DOI 10.1177/1046878118770217
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Zuccaro G., 2018, ESPRESSO VISION PAPE
NR 27
TC 11
Z9 11
U1 4
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD DEC
PY 2020
VL 51
AR 101782
DI 10.1016/j.ijdrr.2020.101782
PG 9
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA PG4MM
UT WOS:000599711000005
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Cuevas, SC
AF Cuevas, Sining C.
TI The interconnected nature of the challenges in mainstreaming climate
   change adaptation: evidence from local land use planning
SO CLIMATIC CHANGE
LA English
DT Article
ID OVERCOMING BARRIERS; RESILIENCE
AB Mainstreaming climate change adaptation (CCA) links adaptation and sustainable development goals by integrating climate change information, concerns, and considerations into existing development planning, policy- and decision-making processes. It is gaining popularity in developing countries, but its operationalization has been slow because of the challenges that hinder its on-ground application. To understand the nature of these challenges, this paper developed a four-stage mixed methodology that examined mainstreaming of CCA into local land use planning in Albay, Philippines. The methodology includes a modified Institutional Analysis and Development framework for the qualitative analysis, and 20 mainstreaming indicators for the quantitative assessment. The data used in the analysis were collected from a survey and the interviews conducted among the key players in local land use planning in Albay. The correlation analysis showed that the challenges related to knowledge and awareness, local government prioritization, institutional incentives, availability of funds, access to funds, and stability of funds had the highest frequency of interconnections with the other challenges. Also, a strong tripartite relationship among local leadership, local government prioritization, and local government's commitment to CCA was observed. The paper suggests that mainstreaming challenges are interconnected at varying degrees. It presents analytical tools and quantifiable measures that can be used to develop a reliable basis for the qualitative assessments of adaptation needs and effectiveness. These sets of information can help analyst and practitioners make informed decisions regarding the operationalization of mainstreaming CCA.
C1 [Cuevas, Sining C.] Univ Queensland, Brisbane, Qld, Australia.
C3 University of Queensland
RP Cuevas, SC (corresponding author), Univ Queensland, Brisbane, Qld, Australia.
EM sining.cuevas@uq.net.au
CR Agrawala S, 2006, BRIDGE TROUBLED WATE, P23
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2010, REV CLIMATE CHANGE A, DOI DOI 10.1016/j.agrformet.2008.01.011
   [Anonymous], 4 CSIRO
   [Anonymous], 2012, Making cities resilient report 2012
   [Anonymous], STAT STRATEGIES SMAL
   [Anonymous], 2010, PHIL SALC UN SEN GLO
   Arnold M, 2006, Disaster Risk Management No. 6
   Asuero AG, 2006, CRIT REV ANAL CHEM, V36, P41, DOI 10.1080/10408340500526766
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Biesbroek G.R., 2011, CLIM LAW, V2, P181
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Claudio CP, 2012, CLIMATE CHANGE ADAPT
   Corpuz A, 2012, HDN DISCUSSION PAPER
   Cuevas S.C., 2016, INT J CLIM IN PRESS, V8, P3
   Cuevas S C., 2015, International Journal of Climate Change: impacts and responses, V7, P45, DOI DOI 10.18848/1835-7156/CGP/V07I03/37246
   Cuevas SC, 2016, REG ENVIRON CHANGE, V16, P2045, DOI 10.1007/s10113-015-0909-8
   David CPC, 2013, SCI DILIMAN, V25, P78
   de Winter JCF., 2013, PRACTICAL ASSESSMENT, V18, DOI [DOI 10.7275/E4R6-DJ05, 10.7275/e4r6-dj05]
   Dick L, 2011, BIENN C INT ASS STUD
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ekstrom J.A., 2011, BARRIERS CLIMATE ADA
   Gliem J.A., 2003, MIDWEST RES TO PRACT
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hill K., 2010, MONITORING GUIDELINE
   HLURB, 2006, CLUP GUID GUID COMPR, V1
   Jones R, 2013, NCCARF PUBLICATION, V56
   Lasco RD, LOCAL GOVT INITIATIV
   Lasco RD., 2008, ROLE LOCAL GOVT UNIT
   Lebel Louis., 2012, Mainstreaming Climate Change Adaptation into Development Planning
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meijer PC, 2002, QUAL QUANT, V36, P145, DOI 10.1023/A:1014984232147
   Moutinho L, 2011, SAGE DICT QUANTITATI, P57, DOI SAGE Publications Ltd
   NDRRMC, 2014, NDRRMC UPD UPD RE EF
   Oberlack C, 2014, GLOBAL ENVIRON CHANG, V24, P349, DOI 10.1016/j.gloenvcha.2013.08.016
   Observatory M, 2005, CLIMATE WEATHER RELA
   Olhoff A., 2010, Screening Tools and Guidelines to Support the Mainstreaming of Climate Change Adaptation into Development Assistance - A Stocktaking Report
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E., 2007, THEORIES POLICY PROC
   Persson A, 2008, MAINSTREAMING ADAPTA
   Petersen NJ., 2008, Best practices in quantitative methods
   PGA CIRCA, 2010, PROV ALB RESP CHALL
   PSA, 2014, TABL 1 PROJ POP AG G
   Ratner BD, 2013, INT J COMMONS, V7, P183, DOI 10.18352/ijc.276
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Rudd MA, 2004, ECOL ECON, V48, P109, DOI 10.1016/j.ecolecon.2003.10.002
   Tavakol M, 2011, INT J MED EDUC, V2, P1, DOI 10.5116/ijme.4dfb.8dfd
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   UNDP/GEF, 2003, UNDP GEF RES KIT SER
   UNDP UNEP, 2011, MAINSTR CLIM CHANG A
   UNISDR, 2012, CHAMP PROF JOS CLEM
   Uy N, 2011, ENVIRON HAZARDS-UK, V10, P139, DOI 10.1080/17477891.2011.579338
   Waters E, 2014, CLIMATIC CHANGE, V124, P691, DOI 10.1007/s10584-014-1138-8
   World Bank, 2014, WORLD DEV REPORT 201, DOI DOI 10.1596/978-0-8213-9903-3
   World Bank, 2013, GETT GRIP CLIM CHANG
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 60
TC 13
Z9 17
U1 1
U2 36
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2016
VL 136
IS 3-4
BP 661
EP 676
DI 10.1007/s10584-016-1625-1
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DM5TR
UT WOS:000376413600020
DA 2025-01-10
ER

PT J
AU Barooah, P
   Alvi, M
   Ringler, C
   Pathak, V
AF Barooah, Prapti
   Alvi, Muzna
   Ringler, Claudia
   Pathak, Vishal
TI Gender, agriculture policies, and climate-smart agriculture in India*
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate-smart agriculture; Women farmers; Extension; Agricultural
   policy; Resilience; Self-help groups
AB CONTEXT: India's agricultural systems are increasingly affected by climate change's adverse effects. The Government of India has an impressive set of programs to address this issue, but they have substantial shortcomings, especially in reaching women farmers. OBJECTIVE: We aim to understand policy and implementation gaps in reaching women farmers with climatesmart agriculture (CSA) practices and study how women and men farmer's different roles in agriculture shape their needs and access to complementary services needed to adapt to climate change. METHODS: An extensive review of India's agriculture and climate policies and program and a series of focus group discussions with farmers in Gujarat, India to discuss constraints and potential entry points for better reaching women farmers with CSA practices. RESULTS AND CONCLUSION: Women's increased vulnerability to climate change and reduced access to CSA practices can be attributed to limited land ownership, poor access to credit, reduced access to information and formal extension, and multiple pressures on their time. Village cooperatives and self-help groups can be leveraged to support women's access to agricultural information and adoption of CSA practices. SIGNIFICANCE: This paper highlights constraints to information and extension access by Indian women farmers that could impede the widespread adoption of CSA practices. It fills an important knowledge gap in designing gender-responsive policies and inclusive agricultural extension systems to promote adoption of CSA practices among smallholder farmers.
C1 [Ringler, Claudia] Int Food Policy Res Inst IFPRI, Nat Resources & Resilience, New Delhi, India.
   [Pathak, Vishal] Int Food Policy Res Inst IFPRI, Nat Resources & Resilience, Washington, DC USA.
   [Pathak, Vishal] All India Disaster Mitigat Inst AIDMI, Ahmadabad, India.
   [Alvi, Muzna] IFPRI New Delhi, NAS Complex, New Delhi 110012, India.
C3 CGIAR; International Food Policy Research Institute (IFPRI); CGIAR;
   International Food Policy Research Institute (IFPRI)
RP Alvi, M (corresponding author), IFPRI New Delhi, NAS Complex, New Delhi 110012, India.
EM m.alvi@cgiar.org
RI Pathak, Vivek J./GWZ-1337-2022; Barooah, Prapti/LFV-4910-2024
OI Pandey, Alok Kumar/0000-0001-5604-3243; Ringler,
   Claudia/0000-0002-8266-0488
CR Alkire S, 2013, WORLD DEV, V52, P71, DOI 10.1016/j.worlddev.2013.06.007
   Alvi M, 2021, AGR SYST, V188, DOI 10.1016/j.agsy.2020.103035
   Anderson S, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00084
   [Anonymous], 2013, India: Climate change impacts
   [Anonymous], 2011, The State of Food and Agriculture
   [Anonymous], 2022, Climate Action Tracker
   Aryal J.P., 2014, C INN IND AGR WAYS F
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Aryal JP, 2018, INT J CLIM CHANG STR, V10, P407, DOI [10.1108/IJCCSM-02-2017-0025, 10.1108/ijccsm-02-2017-0025]
   Babu S. C., 2013, Agricultural Economics Research Review, V26, P159
   Beevi CNA, 2018, CURR SCI INDIA, V115, P1035, DOI 10.18520/cs/v115/i6/1035-1036
   Bhatta GD, 2015, J RURAL COMMUNITY D, V10, P1
   Birthal P.S., 2020, Working Paper no. 18
   Bryan E., 2017, GCAN policy note 7, international food policy research institute (IFPRI)
   Bryan E., 2023, CGIAR GENDER Impact Platform Working Paper #013
   Byravan S., 2012, An evaluation of India's National Action Plan on Climate Change Report
   CCAFS & FAO, 2013, Gender and Climate Change Research in Agriculture and Food Security for Rural Development Training Guide
   Chanana-Nag N, 2020, CLIMATIC CHANGE, V158, P13, DOI 10.1007/s10584-018-2233-z
   Chatterjee S, 2021, ADV ENERGY MATER, V11, DOI 10.1002/aenm.202101438
   Chaturvedi A., 2019, DownToEarthSeptember 18
   Chauhan V., 2022, Climate Smart Agriculture: A Key to Sustainability
   Chavan P., 2012, Rev. Agrar. Stud, V2
   Collins A, 2018, J PEASANT STUD, V45, P175, DOI 10.1080/03066150.2017.1377187
   Crumpler K., 2021, FAO Office of Climate Change, Biodiversity and Environment
   Das S., 2014, 40 Years Ago ... and Now: Utterly Self-Sufficient ...
   Datta P., 2022, Environ. Chall., V8
   Dave H., 2017, International Journal of Applied Environmental Sciences, V12, P977
   Deepika S.B., 2018, MANAGE Discussion Paper 5
   Deshpande R.S., 2022, NABARD Research and Policy Series, V2/2022
   Dhenge S.A., 2016, Adv. Life Sci., V5
   Dubash N.K., 2014, Centre for Policy Research (CPR), Climate Initiative, Research Report
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Ghosh M., 2014, IOSR J. Human. Soc. Sci., V19
   Ginoya N., 2019, As India Revises State Climate Plans, Who Should Have a Voice?
   GoI, 2018, Growing Migration by Men Is Causing 'Feminisation' of Agriculture Sector, Says Economic Survey
   Goswami S., 2017, DownToEarthMay 17
   Government of Gujarat, 2023, About Gujarat
   Grassi F., 2015, Running out of time. The reduction of womens work burden in agricultural production
   Gulati A., 2018, AGR EXTENSION SYSTEM
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Hemathilake D.M. K. S., 2022, Future Foods, P539, DOI DOI 10.1016/B978-0-323-91001-9.00016-5
   IFPRI International Food Policy Research Institute, 2022, Global food policy report: Climate change and food systems, DOI [10.2499/9780896294257, DOI 10.2499/9780896294257]
   Jat ML, 2020, COMPENDIUM KEY CLIMA
   Joshi P.K., 2015, Indian J. Agric. Econ., V70
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Karthick V., 2018, Journal of Social Inclusion Studies, V4, P169, DOI [10.1177/2394481118814064, DOI 10.1177/2394481118814064]
   Khan T., 2016, Gender Dimensions on farmers' Preferences for Direct-Seeded Rice with Drum Seeder in India
   Khatri-Chhetri A, 2020, CLIMATIC CHANGE, V158, P29, DOI 10.1007/s10584-018-2350-8
   Kim C.G., 2012, The Impact of Climate Change on the Agricultural Sector: Implications of the Agro-industry for Low Carbon, Green Growth Strategy and Roadmap for the East Asian Region
   Kishore A., 2018, Agric Econ Res Rev, V31, P123, DOI DOI 10.5958/0974-0279.2018.00028.9
   Kristjanson P, 2017, INT J AGR SUSTAIN, V15, P482, DOI 10.1080/14735903.2017.1336411
   Kumar SM, 2019, J DEV STUD, V55, P1816, DOI 10.1080/00220388.2018.1425397
   Kundu P., 2015, Int. J. Novel Res. Human. Soc. Sci, V2, P56
   Likhi A., 2019, OutlookApril 1
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Mallappa V.K.H., 2023, Frontiers in Sustainable Food Systems, P7
   Manch Mahila Kisan Adhikar, 2017, Policy Brief
   Mehar M, 2016, J RURAL STUD, V44, P123, DOI 10.1016/j.jrurstud.2016.01.001
   Mehrabi Z, 2021, NAT SUSTAIN, V4, P154, DOI 10.1038/s41893-020-00631-0
   Ministry of Agriculture and Farmers Welfare, 2023, National Mission on Natural Farming [Press Release]
   MoEFCC, 2018, India: Second Biennial Update Report to the United Nations Framework Convention on Climate Change
   National Dairy Development Board, 2013, Dairying in Gujarat: A Statistical Profile 2013
   Nedumaran S., 2019, RES J AGRIC SCI, V10, P473
   Neufeldt H., 2013, AGR FOOD SECURITY, V2, P12, DOI DOI 10.1186/2048-7010-2-12
   Nyasimi M., 2017, Agriculture for Development, V30
   OXFAM, 2018, Move over 'Sons of the Soil': Why you Need to Know the Female Farmers that Are Revolutionizing Agriculture in India
   Paul P., 2016, IMPACT: Int. J. Res. Appl. Nat. Soc. Sci., V4, P25
   Picciariello A, 2021, ODI LIT REV
   Quisumbing AR, 2010, WORLD DEV, V38, P581, DOI 10.1016/j.worlddev.2009.10.006
   Rattani Vijeta, 2018, Down To Earth31 October
   Richards M., 2016, How countries plan to address agricultural adaptation and mitigation: An analysis of Intended Nationally Determined Contributions
   Ringler C., 2014, Enhancing women's assets to manage risk under climate change: Potential for group-based approaches
   Sah U., 2015, Indian J. Ext. Educ., V51, P1
   Sandstrom S., 2017, Journal of Gender, Agriculture and Food Security, V2, P66
   Selvaraju R., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P71
   Shagun, 2023, DownToEarthJuly 10
   Shah D., 2018, Climate change and Indian agricultural sector: Adaptation, mitigation and impact assessment, DOI [10.2139/ssrn.3155071, DOI 10.2139/SSRN.3155071]
   Sharma A, 2023, J WATER CLIM CHANGE, V14, P2085, DOI 10.2166/wcc.2023.230
   Sharma N., 2016, Research Report, 68
   Shrivastava A., 2016, International Policy Digest
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor M, 2018, J PEASANT STUD, V45, P89, DOI 10.1080/03066150.2017.1312355
   Timperley Jocelyn, 2019, CARBON BRIEF PROFILE
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   UN Women, 2017, Gender responsive budgeting: A focus on agriculture sector
   Vark C.V., 2013, The Guardian
   Venkatasubramanian K., 2014, CCAFS Working Paper No. 54
   Wagstaff L., 2017, A look at climate change through a gendered lens
   World Bank Group FAO IFAD, 2015, GEND CLIM SMART AGR
   Xie H, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8148
NR 91
TC 4
Z9 5
U1 8
U2 28
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD DEC
PY 2023
VL 212
AR 103751
DI 10.1016/j.agsy.2023.103751
EA SEP 2023
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA T0KS1
UT WOS:001074968100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Pan, Y
   Yin, YH
AF Pan, Yao
   Yin, Yunhe
TI Spatial and Temporal Evolution Characteristics of Water Conservation in
   the Three-Rivers Headwater Region and the Driving Factors over the Past
   30 Years
SO ATMOSPHERE
LA English
DT Article
DE water conservation; climate change; vegetation variation; InVEST model;
   Tibetan Plateau
ID RIVER-BASIN; ECOSYSTEM SERVICES; TIBETAN PLATEAU; VEGETATION; SOIL;
   CHINA; ASSESSMENTS; SIMULATION; DYNAMICS
AB The Three-Rivers Headwater Region (TRHR), located in the hinterland of the Tibetan Plateau, serves as the "Water Tower of China", providing vital water conservation (WC) services. Understanding the variations in WC is crucial for locally tailored efforts to adapt to climate change. This study improves the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) water yield model by integrating long-term time series of vegetation data, emphasizing the role of interannual vegetation variation. This study also analyzes the influences of various factors on WC variations. The results show a significant increase in WC from 1991 to 2020 (1.4 mm/yr, p < 0.05), with 78.17% of the TRHR showing improvement. Precipitation is the primary factor driving the interannual variations in WC. Moreover, distinct interactions play dominant roles in WC across different eco-geographical regions. In the north-central and western areas, the interaction between annual precipitation and potential evapotranspiration has the highest influence. Conversely, the interaction between annual precipitation and vegetation has the greatest impact in the eastern and central-southern areas. This study provides valuable insights into the complex interactions between the land and atmosphere of the TRHR, which are crucial for enhancing the stability of the ecosystem.
C1 [Pan, Yao; Yin, Yunhe] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Pan, Yao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Yin, YH (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM pany.17s@igsnrr.ac.cn; yinyh@igsnrr.ac.cn
RI , yunhe/A-9275-2010
OI , yunhe/0000-0002-7120-5690
FU Second Tibetan Plateau Scientific Expedition Program [2019QZKK0403]
FX This research was funded by the Second Tibetan Plateau Scientific
   Expedition Program (2019QZKK0403)
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Bai YF, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140574
   Biskaborn BK, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08240-4
   Chen R, 2022, ATMOS RES, V277, DOI 10.1016/j.atmosres.2022.106306
   Chen SZ, 2023, J HYDROL, V616, DOI 10.1016/j.jhydrol.2022.128817
   COSBY BJ, 1984, WATER RESOUR RES, V20, P682, DOI 10.1029/WR020i006p00682
   Cui JP, 2022, NAT GEOSCI, V15, P982, DOI 10.1038/s41561-022-01061-7
   de Figueiredo T, 2021, WATER-SUI, V13, DOI 10.3390/w13010037
   Dennedy-Frank PJ, 2016, J ENVIRON MANAGE, V177, P331, DOI 10.1016/j.jenvman.2016.03.012
   [底阳平 Di Yangping], 2019, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V34, P1322
   Donohue RJ, 2012, J HYDROL, V436, P35, DOI 10.1016/j.jhydrol.2012.02.033
   Gao J, 2017, J CLEAN PROD, V163, pS148, DOI 10.1016/j.jclepro.2016.01.049
   Gao QZ, 2016, SCI TOTAL ENVIRON, V554, P34, DOI 10.1016/j.scitotenv.2016.02.131
   Guo BY, 2022, ENVIRON SCI POLLUT R, V29, P16436, DOI 10.1007/s11356-021-16927-3
   Han DL, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002890
   Hou LL, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24942-8
   Hu WM, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139423
   Huang K, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8100876
   Huntington TG, 2006, J HYDROL, V319, P83, DOI 10.1016/j.jhydrol.2005.07.003
   Jia GY, 2022, SCI TOTAL ENVIRON, V828, DOI 10.1016/j.scitotenv.2022.154483
   Jiang C, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5368-2
   Jiang C, 2016, ECOL INDIC, V66, P199, DOI 10.1016/j.ecolind.2016.01.051
   Khorchani M, 2022, ENVIRON RES, V207, DOI 10.1016/j.envres.2021.112203
   Kurzweil JR, 2021, FOREST ECOL MANAG, V496, DOI 10.1016/j.foreco.2021.119387
   Li P, 2018, SCI TOTAL ENVIRON, V637, P855, DOI 10.1016/j.scitotenv.2018.05.031
   Li SH, 2022, J CLEAN PROD, V359, DOI 10.1016/j.jclepro.2022.132082
   Li XY, 2022, NAT CLIM CHANGE, V12, P801, DOI 10.1038/s41558-022-01443-0
   Lian JJ, 2018, HYDROL PROCESS, V32, P1801, DOI 10.1002/hyp.11621
   Liu GB, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020523
   Liu GB, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215349
   Liu H, 2023, J CLEAN PROD, V396, DOI 10.1016/j.jclepro.2023.136448
   Liu Y, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2012JG002084
   Liu YL, 2020, NAT CLIM CHANGE, V10, P691, DOI 10.1038/s41558-020-0781-5
   Lu F, 2018, P NATL ACAD SCI USA, V115, P4039, DOI 10.1073/pnas.1700294115
   Luan JK, 2022, J HYDROL, V611, DOI 10.1016/j.jhydrol.2022.128018
   Ma N, 2022, AGR FOREST METEOROL, V317, DOI 10.1016/j.agrformet.2022.108887
   Maurya S, 2016, WATER RESOUR MANAG, V30, P5385, DOI 10.1007/s11269-016-1494-4
   Ning XG, 2022, GEOGR SUSTAIN, V3, P164, DOI 10.1016/j.geosus.2022.05.003
   Pan T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123793
   Peng H, 2015, J HYDRO-ENVIRON RES, V9, P452, DOI 10.1016/j.jher.2014.09.003
   Peng SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Rawat KS, 2019, AGR WATER MANAGE, V213, P922, DOI 10.1016/j.agwat.2018.12.002
   Redhead JW, 2016, SCI TOTAL ENVIRON, V569, P1418, DOI 10.1016/j.scitotenv.2016.06.227
   Satalová B, 2017, SCI TOTAL ENVIRON, V599, P1082, DOI 10.1016/j.scitotenv.2017.04.227
   [邵全琴 Shao Quanqin], 2022, [地理学报, Acta Geographica Sinica], V77, P2133
   Shao QQ, 2017, J GEOGR SCI, V27, P183, DOI 10.1007/s11442-017-1371-y
   Sharp R., 2015, INVEST VERSION 3 2 0
   Shen MG, 2022, NAT REV EARTH ENV, V3, P633, DOI 10.1038/s43017-022-00317-5
   Sun ML, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14246306
   Teng HF, 2018, SCI TOTAL ENVIRON, V635, P673, DOI 10.1016/j.scitotenv.2018.04.146
   Trautmann T, 2022, HYDROL EARTH SYST SC, V26, P1089, DOI 10.5194/hess-26-1089-2022
   Wang J, 2022, GLOBAL CHANGE BIOL, V28, P1569, DOI 10.1111/gcb.16011
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   Wang SZ, 2019, AGR ECOSYST ENVIRON, V286, DOI 10.1016/j.agee.2019.106662
   Wang YF, 2022, NAT REV EARTH ENV, V3, P668, DOI 10.1038/s43017-022-00330-8
   Wang YW, 2023, INT J CLIMATOL, V43, P3768, DOI 10.1002/joc.8057
   Wang YC, 2019, ECOL INDIC, V104, P659, DOI 10.1016/j.ecolind.2019.05.045
   Wang YF, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101064
   Wen X, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15123175
   Wu HF, 2023, CATENA, V222, DOI 10.1016/j.catena.2022.106838
   Wu X, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106152
   Xiao Y, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1819
   Xu WH, 2017, P NATL ACAD SCI USA, V114, P1601, DOI 10.1073/pnas.1620503114
   Xue J, 2022, J HYDROL-REG STUD, V42, DOI 10.1016/j.ejrh.2022.101164
   Yang MY, 2021, AGR ECOSYST ENVIRON, V313, DOI 10.1016/j.agee.2021.107377
   [姚檀栋 Yao Tandong], 2019, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V34, P1203
   Yao Y, 2022, AGR FOREST METEOROL, V314, DOI 10.1016/j.agrformet.2022.108809
   Yu SQ, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129473
   Zhang BA, 2010, ECOL ECON, V69, P1416, DOI 10.1016/j.ecolecon.2008.09.004
   Zhang JL, 2019, CATENA, V182, DOI 10.1016/j.catena.2019.104172
   Zhang K, 2016, WIRES WATER, V3, P834, DOI 10.1002/wat2.1168
   Zhang L, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002710
   Zhang Q, 2019, SCI TOTAL ENVIRON, V658, P374, DOI 10.1016/j.scitotenv.2018.12.209
   [赵军 Zhao Jun], 2011, [资源科学, Resources Science], V33, P341
   Zheng D., 1999, P FAO FRA2000 GLOB E
NR 75
TC 2
Z9 2
U1 10
U2 33
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD SEP
PY 2023
VL 14
IS 9
AR 1453
DI 10.3390/atmos14091453
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA T1PY7
UT WOS:001075786900001
OA gold
DA 2025-01-10
ER

PT J
AU Yue, YJ
   Yang, WQ
   Wang, L
AF Yue, Yaojie
   Yang, Wuqiong
   Wang, Lin
TI Assessment of drought risk for winter wheat on the Huanghuaihai Plain
   under climate change using an EPIC model-based approach
SO INTERNATIONAL JOURNAL OF DIGITAL EARTH
LA English
DT Article
DE Climate change; winter wheat drought risk; representative concentration
   pathways (RCPs); EPIC model; HuangHuaiHai Plain
ID WATER-USE EFFICIENCY; GLOBAL PATTERNS; IMPACTS; CHINA; YIELD;
   VULNERABILITY; HAZARD; SENSITIVITY; FRAMEWORK; STRESS
AB Climate change-induced drought poses a serious negative impact on global crop production and food security. The Huang Huai Hai (HHH) Plain, one of the most important grain production areas in China, is heavenly stricken by drought. Motivated by formulating drought risk prevention strategies that adapt to climate change on the HHH Plain, therefore, the present study aims to quantitatively evaluate the winter wheat drought risk under multiple climate scenarios using the Environmental Policy Impact Climate (EPIC) model. Based on the well-validated EPIC model, the drought hazard intensity (dHI), physical vulnerability (pV), and drought risk (dR) of the HHH Plain from 2010 to 2099 are assessed. Temporally, the dR showed an increasing trend in the long term, the high dR areas increased by 0.63% and 1.18% under the RCP4.5 and RCP8.5 scenarios, respectively. Spatially, dR showed a pattern of high in the south and low in the north whether under RCP4.5 or RCP8.5 scenario. Comparatively, the dR was 0.211 under the RCP4.5 scenario which was slightly higher than that under the RCP8.5 scenario, i.e. 0.207. The Huanghuai Plain agricultural subregion will be a high dHI-pV-dR region. The temperature increase might be the main factor affecting the wheat drought risk.
C1 [Yue, Yaojie; Yang, Wuqiong] Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change & Nat Disaster, Minist Educ, 19 XinjieKouwai St, Beijing 100875, Peoples R China.
   [Wang, Lin] Univ Nebraska, Dept Biol Syst Engn, Lincoln, NE USA.
C3 Beijing Normal University; University of Nebraska System; University of
   Nebraska Lincoln
RP Yue, YJ (corresponding author), Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change & Nat Disaster, Minist Educ, 19 XinjieKouwai St, Beijing 100875, Peoples R China.
EM yjyue@bnu.edu.cn
RI Wang, Lin/HJP-0545-2023; Yue, Yaojie/AAF-2489-2019
OI YUE, Yaojie/0000-0001-5198-1281
FU National Natural Science Foundation of China [41877521, 41271515];
   National Key Research and Development Program of China [2016YFA0602402]
FX This research is financially supported by the National Natural Science
   Foundation of China [grant numbers 41877521, 41271515] and the National
   Key Research and Development Program of China [grant number
   2016YFA0602402].
CR [Anonymous], 2010, J HYDROL, DOI [10.1016/j.jhydrol.2010.07.012, DOI 10.1016/J.JHYDROL.2010.07.012]
   Carrao H, 2016, GLOBAL ENVIRON CHANG, V39, P108, DOI 10.1016/j.gloenvcha.2016.04.012
   Chang NJ, 2020, SOIL TILL RES, V196, DOI 10.1016/j.still.2019.104441
   Chen C, 2010, CLIMATIC CHANGE, V100, P559, DOI 10.1007/s10584-009-9690-3
   Chen Y, 2018, EARTH SYST DYNAM, V9, P543, DOI 10.5194/esd-9-543-2018
   [范兰 Fan Lan], 2014, [麦类作物学报, Journal of Triticeae Crops], V34, P1677
   Fischer G., 2012, Global Agro-ecological Zones (GAEZ v3.0): Model Documentation"
   Guo H, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141481
   Harrison MT, 2014, GLOBAL CHANGE BIOL, V20, P867, DOI 10.1111/gcb.12381
   Hu S., 2015, CHIN J APPL ECOL, P1153
   Hu ZH, 2021, THEOR APPL CLIMATOL, V143, P1393, DOI 10.1007/s00704-020-03506-8
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   Huang JL, 2018, CLIM DYNAM, V50, P507, DOI 10.1007/s00382-017-3623-z
   IPCC, 2015, Climate Change 2014: Synthesis Report. Contribution of Working Groups I
   Jiang QH, 2019, GEOMAT NAT HAZ RISK, V10, P2346, DOI 10.1080/19475705.2019.1693435
   Kim W, 2019, J APPL METEOROL CLIM, V58, P1233, DOI 10.1175/JAMC-D-18-0174.1
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li T, 2015, CLIMATIC CHANGE, V133, P709, DOI 10.1007/s10584-015-1487-y
   Li YC, 2015, AGR ECOSYST ENVIRON, V209, P125, DOI 10.1016/j.agee.2015.03.033
   Liu B, 2016, NAT CLIM CHANGE, V6, P1130, DOI 10.1038/NCLIMATE3115
   Liu XF, 2018, J HYDROL, V564, P984, DOI 10.1016/j.jhydrol.2018.07.077
   Liu Yang, 2009, Telecommunications Science, V25, P6
   Liu YN, 2021, J CANCER EDUC, V36, P1014, DOI 10.1007/s13187-019-01682-4
   Liu YJ, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101948
   Lv ZF, 2013, AGR FOREST METEOROL, V171, P234, DOI 10.1016/j.agrformet.2012.12.008
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   Pandey S, 2012, NAT HAZARDS, V63, P279, DOI 10.1007/s11069-012-0093-9
   Papathoma-Köhle M, 2011, NAT HAZARDS, V58, P645, DOI 10.1007/s11069-010-9632-4
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435
   Qu CH, 2019, J INTEGR AGR, V18, P1379, DOI [10.1016/S2095-3119(19)62585-2, 10.1016/s2095-3119(19)62585-2]
   Rashid MA, 2019, AGR WATER MANAGE, V222, P193, DOI 10.1016/j.agwat.2019.06.004
   Richter GM, 2005, AGR SYST, V84, P77, DOI 10.1016/j.agsy.2004.06.011
   Rötter RP, 2011, EUR J AGRON, V35, P205, DOI 10.1016/j.eja.2011.06.003
   Shiferaw B, 2013, FOOD SECUR, V5, P291, DOI 10.1007/s12571-013-0263-y
   Sun Fang Sun Fang, 2005, Agricultural Sciences in China, V4, P175
   Ti JS, 2018, WATER-SUI, V10, DOI 10.3390/w10060789
   Uzielli M, 2008, ENG GEOL, V102, P251, DOI 10.1016/j.enggeo.2008.03.011
   Vazquez-Cruz MA, 2014, COMPUT ELECTRON AGR, V100, P1, DOI 10.1016/j.compag.2013.10.006
   Wang J, 2013, ENVIRON MODELL SOFTW, V48, P171, DOI 10.1016/j.envsoft.2013.06.007
   Wang SS, 2018, ECOL INDIC, V87, P107, DOI 10.1016/j.ecolind.2017.12.047
   Wang X, 2005, T ASAE, V48, P1041, DOI 10.13031/2013.18515
   WILLIAMS JR, 1989, T ASAE, V32, P497
   Wu DR, 2006, EUR J AGRON, V24, P226, DOI 10.1016/j.eja.2005.06.001
   Xiao DP, 2020, AGR WATER MANAGE, V238, DOI 10.1016/j.agwat.2020.106238
   Xu XC, 2013, NAT HAZARDS, V66, P1257, DOI 10.1007/s11069-012-0549-y
   Yao N, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135245
   Yue YJ, 2019, SCI TOTAL ENVIRON, V688, P1308, DOI 10.1016/j.scitotenv.2019.06.153
   Yue YJ, 2018, CLIMATIC CHANGE, V147, P539, DOI 10.1007/s10584-018-2150-1
   Yue YJ, 2015, NAT HAZARDS, V78, P1629, DOI 10.1007/s11069-015-1793-8
   Zampieri M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa723b
   Zarei AR, 2021, ENVIRON PROCESS, V8, P163, DOI 10.1007/s40710-021-00496-1
   Zarei AR, 2021, PADDY WATER ENVIRON, V19, P199, DOI 10.1007/s10333-020-00832-5
   Zarei AR, 2021, PADDY WATER ENVIRON, V19, P137, DOI 10.1007/s10333-020-00825-4
   Zhang F, 2019, J CLEAN PROD, V233, P100, DOI 10.1016/j.jclepro.2019.06.051
   Zhang X., 2015, WORLD ATLAS NATURAL
   [张兴明 Zhang Xingming], 2015, [灾害学, Journal of Catastrophology], V30, P228
   Zhang XY, 2008, IRRIGATION SCI, V27, P1, DOI 10.1007/s00271-008-0131-2
   Zhao X.Y., 1999, SCI GEOGRAPHICA SINI, V19, P181
NR 59
TC 16
Z9 16
U1 11
U2 102
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1753-8947
EI 1753-8955
J9 INT J DIGIT EARTH
JI Int. J. Digit. Earth
PD DEC 31
PY 2022
VL 15
IS 1
BP 690
EP 711
DI 10.1080/17538947.2022.2055174
PG 22
WC Geography, Physical; Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Remote Sensing
GA 0F6SB
UT WOS:000777486000001
OA gold
DA 2025-01-10
ER

PT J
AU Lucas, CH
   Williamson, GJ
   Bowman, DMJS
AF Lucas, Chloe H.
   Williamson, Grant J.
   Bowman, David M. J. S.
TI Neighbourhood bushfire hazard, community risk perception and
   preparedness in peri-urban Hobart, Australia
SO INTERNATIONAL JOURNAL OF WILDLAND FIRE
LA English
DT Article
DE bushfire; community bushfire preparedness; Hobart; pyrogeography; risk
   communication; risk perception; social adaptation to climate change;
   Tasmania; wildfire
ID WILDFIRE RISK; MITIGATION; RESPONSIBILITY; NARRATIVES; VICTORIA; HOME;
   ENGAGEMENT; MANAGEMENT; FATALITIES; PROPERTY
AB Background. Information campaigns about bushfire preparedness are often based on the assumption that residents of bushfire-prone neighbourhoods underestimate their risk. However, there are complex relationships between bushfire hazard, perceived risk and adaptive action. Aims. We investigate how residents' understanding of bushfire risk relates to biophysical risk in the City of Hobart, Tasmania, Australia's most fire-prone state capital. Methods. A transdisciplinary case study using a survey of 406 residents living close to the wildland-urban interface, focus groups in four bushfire-prone neighbourhoods, and geospatial fire risk assessment. Key results. Neighbourhood concern about bushfire is statistically associated with biophysical measurement of local bushfire risk. This awareness does not necessarily translate into adaptive action, in part because residents underestimate the risk to their homes from fuels on their own property and overestimate the risk from bushland and neighbouring properties, leading to a common response that preparing for bushfire is futile if your neighbours do not also prepare. Neighbourhoods with high levels of positive community interaction, however, are more likely to access preparedness information, and develop fire-adaptive behaviours. Conclusions/Implications. Our findings highlight the need for social adaptation pathways using local communication interventions to build the neighbourhood knowledge, networks and capacities that enable community-led bushfire preparedness.
C1 [Lucas, Chloe H.] Univ Tasmania, Sch Geog Planning & Spatial Sci, Private Bag 78, Sandy Bay, Tas 7001, Australia.
   [Lucas, Chloe H.; Williamson, Grant J.; Bowman, David M. J. S.] Univ Tasmania, Sch Nat Sci, Private Bag 55, Sandy Bay, Tas 7001, Australia.
C3 University of Tasmania; University of Tasmania
RP Lucas, CH (corresponding author), Univ Tasmania, Sch Geog Planning & Spatial Sci, Private Bag 78, Sandy Bay, Tas 7001, Australia.
EM chloe.lucas@utas.edu.au
RI Williamson, Grant/J-7514-2014; Lucas, Chloe/E-7835-2019; Bowman,
   David/A-2930-2011
OI Lucas, Chloe/0000-0002-0834-1622; Williamson, Grant/0000-0002-3469-7550;
   Bowman, David/0000-0001-8075-124X
CR Akama Y., 2014, INT J DISASTER RESIL, V5, P277, DOI [DOI 10.1108/IJDRBE-01-2014-0010, 10.1108/ijdrbe-01-2014-0010]
   Akama Y., 2010, ACM International Conference Proceeding Series, P11, DOI DOI 10.1145/1900441.1900444
   Australian Institute for Disaster Resilience, 1967, BLACK TUESD BUSHF
   Australian Institute for Disaster Resilience, 2014, AUSTR DIS RES HDB AU, V9
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Blanchi R, 2014, ENVIRON SCI POLICY, V37, P192, DOI 10.1016/j.envsci.2013.09.013
   Bodas M, 2019, DISASTER MED PUBLIC, V13, P593, DOI 10.1017/dmp.2018.70
   Bowman DMJS, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-016-0058
   Bowman DMJS, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00590
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brenkert-Smith H, 2012, ENVIRON MANAGE, V50, P1139, DOI 10.1007/s00267-012-9949-8
   Brown A., 2018, The Canberra TimesApril 24
   Calkin DE, 2014, P NATL ACAD SCI USA, V111, P746, DOI 10.1073/pnas.1315088111
   Carroll M, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0344
   Champ PA, 2016, RISK ANAL, V36, P816, DOI 10.1111/risa.12465
   Cohen JD, 2000, J FOREST, V98, P15
   Collins TW, 2009, ENVIRON MANAGE, V44, P441, DOI 10.1007/s00267-009-9333-5
   Cook BR, 2019, GLOBAL ENVIRON CHANG, V56, P56, DOI 10.1016/j.gloenvcha.2019.03.001
   Cooper V, 2020, J RURAL STUD, V80, P259, DOI 10.1016/j.jrurstud.2020.09.015
   Council of Australian Governments, 2011, National strategy for disaster resilience
   Crompton RP, 2010, WEATHER CLIM SOC, V2, P300, DOI 10.1175/2010WCAS1063.1
   Dickinson K, 2015, SOC NATUR RESOUR, V28, P807, DOI 10.1080/08941920.2015.1037034
   Elliott D, 2021, MEDIA RELEASE   1025
   Ellis S., 2004, NATL INQUIRY BUSHFIR
   Ellis TM, 2022, GLOBAL CHANGE BIOL, V28, P1544, DOI 10.1111/gcb.16006
   Eriksen C, 2010, GEOFORUM, V41, P814, DOI 10.1016/j.geoforum.2010.05.004
   Every D, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101203
   Fischer AP, 2014, INT J WILDLAND FIRE, V23, P143, DOI 10.1071/WF12164
   Frandsen M, 2011, AUST J EMERG MANAG, V26, P25
   Furlaud JM, 2018, INT J WILDLAND FIRE, V27, P15, DOI 10.1071/WF17061
   Gibbons P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029212
   Gibbs L, 2015, INT J DISAST RISK RE, V13, P375, DOI 10.1016/j.ijdrr.2015.07.016
   Haghani M, 2022, SAFETY SCI, V153, DOI 10.1016/j.ssci.2022.105797
   Head L, 2020, NAT CLIM CHANGE, V10, P173, DOI 10.1038/s41558-020-0712-5
   Hendra R, 2019, EVALUATION REV, V43, P307, DOI 10.1177/0193841X18807719
   Landgraf AJ, 2015, Arxiv, DOI arXiv:1510.06112
   Jakes PJ, 2012, INT J WILDLAND FIRE, V21, P764, DOI 10.1071/WF11086
   Johnston K, 2019, 515 CRC BUSHF NAT HA
   Koksal K, 2019, INT J DISAST RISK RE, V33, P142, DOI 10.1016/j.ijdrr.2018.09.017
   Kyle GT, 2010, SOC NATUR RESOUR, V23, P1075, DOI 10.1080/08941920902724974
   Leonard J, 2016, WYE RIVERSEPARATION, DOI [10.4225/08/58518bbd2af7b, DOI 10.4225/08/58518BBD2AF7B]
   Lukasiewicz A, 2017, ENVIRON HAZARDS-UK, V16, P291, DOI 10.1080/17477891.2017.1298510
   MacDougall C, 2014, DISASTERS, V38, P249, DOI 10.1111/disa.12049
   Mariani M, 2022, FRONT ECOL ENVIRON, V20, P292, DOI 10.1002/fee.2395
   Martin WE, 2009, J ENVIRON MANAGE, V91, P489, DOI 10.1016/j.jenvman.2009.09.007
   McAneney J, 2009, J ENVIRON MANAGE, V90, P2819, DOI 10.1016/j.jenvman.2009.03.013
   McCaffrey S, 2013, INT J WILDLAND FIRE, V22, P15, DOI 10.1071/WF11115
   McDonald J, 2022, CLIM LAW, V12, P128, DOI 10.1163/18786561-20210003
   McFarlane BL, 2011, INT J WILDLAND FIRE, V20, P921, DOI 10.1071/WF10096
   McGee TK, 2011, J ENVIRON MANAGE, V92, P2524, DOI 10.1016/j.jenvman.2011.05.017
   McLennan B, 2015, INT J WILDLAND FIRE, V24, P162, DOI 10.1071/WF12201
   McLennan BJ, 2020, VOLUNTAS, V31, P316, DOI 10.1007/s11266-018-9957-2
   McLennan J, 2015, INT J DISAST RISK RE, V12, P319, DOI 10.1016/j.ijdrr.2015.02.007
   Meldrum JR, 2021, NAT HAZARDS, V106, P2139, DOI 10.1007/s11069-021-04534-x
   Muir C, 2017, DISASTER PREV MANAG, V26, P241, DOI 10.1108/DPM-06-2016-0126
   Olsen CS, 2017, ECOL SOC, V22, DOI 10.5751/ES-09054-220121
   Paton D., 2003, Disaster Prevention and Management, V12, P210, DOI DOI 10.1108/09653560310480686
   Paton D, 2008, AUST J EMERG MANAG, V23, P41
   Paveglio TB, 2016, SOC NATUR RESOUR, V29, P1246, DOI 10.1080/08941920.2015.1132351
   Penman SH, 2014, SOCIAL CONSTRUCT FUE
   Penman TD, 2013, INT J DISAST RISK RE, V6, P67, DOI 10.1016/j.ijdrr.2013.09.001
   Price O, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0073421
   Prior T., 2012, Wildfire and community: Facilitating preparedness and resilience, P190
   Prior T, 2013, GLOBAL ENVIRON CHANG, V23, P1575, DOI 10.1016/j.gloenvcha.2013.09.016
   Productivity Commission, 2014, NAT DIS FUND ARR PRO
   Reid K, 2020, GEOFORUM, V109, P35, DOI 10.1016/j.geoforum.2019.12.015
   Reid K, 2015, GEOFORUM, V58, P95, DOI 10.1016/j.geoforum.2014.10.005
   Ryan B, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101655
   Shepherd B., 2020, ABC NEWS
   Smith AMS, 2016, BIOSCIENCE, V66, P130, DOI 10.1093/biosci/biv182
   Standards Australia, 2021, 39592021 AS
   Sturtevant V., 2006, General Technical Report - USDA Forest Service, P125
   Syphard AD, 2014, INT J WILDLAND FIRE, V23, P1165, DOI 10.1071/WF13158
NR 73
TC 5
Z9 5
U1 4
U2 18
PU CSIRO PUBLISHING
PI CLAYTON SOUTH
PA Private Bag 10, CLAYTON SOUTH, VIC 3169, AUSTRALIA
SN 1049-8001
EI 1448-5516
J9 INT J WILDLAND FIRE
JI Int. J. Wildland Fire
PY 2022
VL 31
IS 12
BP 1129
EP 1143
DI 10.1071/WF22099
EA NOV 2022
PG 15
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 7I5TJ
UT WOS:000879354000001
DA 2025-01-10
ER

PT J
AU Archer, LC
   Hutton, SA
   Harman, L
   Poole, WR
   Gargan, P
   McGinnity, P
   Reed, TE
AF Archer, Louise C.
   Hutton, Stephen A.
   Harman, Luke
   Poole, W. Russell
   Gargan, Patrick
   McGinnity, Philip
   Reed, Thomas E.
TI Associations between metabolic traits and growth rate in brown trout
   (<i>Salmo trutta</i>) depend on thermal regime
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE climate change; partial migration; brown trout; acclimation; Salmo
   trutta; metabolism
ID JUVENILE ATLANTIC SALMON; OVER-WINTER SURVIVAL; LIFE-HISTORY; PHENOTYPIC
   PLASTICITY; INDIVIDUAL VARIATION; CLIMATE-CHANGE; AEROBIC SCOPE;
   BODY-MASS; TEMPERATURE; PERFORMANCE
AB Metabolism defines the energetic cost of life, yet we still know relatively little about why intraspecific variation in metabolic rate arises and persists. Spatio-temporal variation in selection potentially maintains differences, but relationships between metabolic traits (standard metabolic rate (SMR), maximum metabolic rate (MMR), and aerobic scope) and fitness across contexts are unresolved. We show that associations between SMR, MMR, and growth rate (a key fitness-related trait) vary depending on the thermal regime (a potential selective agent) in offspring of wild-sampled brown trout from two populations reared for approximately 15 months in either a cool or warm (+1.8 degrees C) regime. SMR was positively related to growth in the cool, but negatively related in the warm regime. The opposite patterns were found for MMR and growth associations (positive in warm, negative in the cool regime). Mean SMR, but not MMR, was lower in warm regimes within both populations (i.e. basal metabolic costs were reduced at higher temperatures), consistent with an adaptive acclimation response that optimizes growth. Metabolic phenotypes thus exhibited a thermally sensitive metabolic 'floor' and a less flexible metabolic 'ceiling'. Our findings suggest a role for growth-related fluctuating selection in shaping patterns of metabolic variation that is likely important in adapting to climate change.
C1 [Archer, Louise C.; Hutton, Stephen A.; Harman, Luke; McGinnity, Philip; Reed, Thomas E.] Univ Coll Cork, Sch Biol Earth & Environm Sci, Cork, Ireland.
   [Archer, Louise C.; Hutton, Stephen A.; Harman, Luke; Reed, Thomas E.] Univ Coll Cork, Environm Res Inst, Lee Rd, Cork, Ireland.
   [Poole, W. Russell; McGinnity, Philip] Marine Inst, Newport, Co Mayo, Ireland.
   [Gargan, Patrick] Inland Fisheries Ireland, 3044 Lake Dr,Citywest Business Campus, Dublin D24 Y265, Ireland.
C3 University College Cork; University College Cork; Marine Institute
   Ireland
RP Archer, LC (corresponding author), Univ Coll Cork, Sch Biol Earth & Environm Sci, Cork, Ireland.; Archer, LC (corresponding author), Univ Coll Cork, Environm Res Inst, Lee Rd, Cork, Ireland.
EM l.archer@umail.ucc.ie
RI Archer, Louise/AAT-6679-2021; Reed, Thomas/A-5788-2012
OI Archer, Louise/0000-0002-1983-3825; Reed, Thomas/0000-0002-2993-0477
FU ERC Starting Grant [639192-ALH]; SFI ERC Support Award; Science
   Foundation Ireland [15/IA/3028, 16/BBSRC/3316]; Marine Institute
   (Ireland), Marine Research Programme by the Irish Government
   [RESPI/FS/16/01]; Science Foundation Ireland (SFI) [16/BBSRC/3316,
   15/IA/3028] Funding Source: Science Foundation Ireland (SFI); European
   Research Council (ERC) [639192] Funding Source: European Research
   Council (ERC)
FX This research was supported by an ERC Starting Grant (grant no.
   639192-ALH) and an SFI ERC Support Award awarded to T.E.R. P.M.c.G. was
   supported in part by grants from Science Foundation Ireland (grant nos.
   15/IA/3028 and 16/BBSRC/3316) and by grant-in-aid (grant no.
   RESPI/FS/16/01) from the Marine Institute (Ireland) as part of the
   Marine Research Programme by the Irish Government.
CR Allen D, 2016, CAN J FISH AQUAT SCI, V73, P1493, DOI 10.1139/cjfas-2015-0429
   Alvarez D, 2005, CAN J FISH AQUAT SCI, V62, P643, DOI 10.1139/F04-223
   [Anonymous], 2014, Climate change 2014: synthesis report
   Archer LC., 2020, CONSERV PHYSIOL, V8, pCOAA096, DOI [10.1093/conphys/coaa096, DOI 10.1093/CONPHYS/COAA096]
   Archer LC, 2020, GLOBAL CHANGE BIOL, V26, P2878, DOI 10.1111/gcb.14990
   Archer LC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00222
   Arendt JD, 1997, Q REV BIOL, V72, P149, DOI 10.1086/419764
   Arnold PA, 2021, J COMP PHYSIOL B, V191, P1097, DOI 10.1007/s00360-021-01358-w
   Auer SK, 2020, AM NAT, V196, P132, DOI 10.1086/709479
   Auer SK, 2018, ECOL LETT, V21, P287, DOI 10.1111/ele.12894
   Auer SK, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02514-z
   Auer SK, 2017, FUNCT ECOL, V31, P1728, DOI 10.1111/1365-2435.12879
   Auer SK, 2015, BIOL LETTERS, V11, DOI 10.1098/rsbl.2015.0793
   Auer SK, 2015, J ANIM ECOL, V84, P1405, DOI 10.1111/1365-2656.12384
   Auer SK, 2015, FUNCT ECOL, V29, P479, DOI 10.1111/1365-2435.12396
   Barton Kamil, 2023, CRAN
   Biro PA, 2010, TRENDS ECOL EVOL, V25, P653, DOI 10.1016/j.tree.2010.08.003
   Blackmer AL, 2005, BEHAV ECOL, V16, P906, DOI 10.1093/beheco/ari069
   Bochdansky AB, 2005, MAR BIOL, V147, P1413, DOI 10.1007/s00227-005-0036-z
   Boratynski Z, 2009, FUNCT ECOL, V23, P330, DOI 10.1111/j.1365-2435.2008.01505.x
   Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
   Burton T, 2011, P ROY SOC B-BIOL SCI, V278, P3465, DOI 10.1098/rspb.2011.1778
   Chabot D, 2016, J FISH BIOL, V88, P81, DOI 10.1111/jfb.12845
   Clark TD, 2013, J EXP BIOL, V216, P2771, DOI 10.1242/jeb.084251
   Donelson JM, 2011, GLOBAL CHANGE BIOL, V17, P1712, DOI 10.1111/j.1365-2486.2010.02339.x
   Dubois K, 2016, J COMP PHYSIOL B, V186, P919, DOI 10.1007/s00360-016-1001-5
   Elliott JM, 2010, J FISH BIOL, V77, P1793, DOI 10.1111/j.1095-8649.2010.02762.x
   Elliott JM, 2000, FRESHWATER BIOL, V44, P237, DOI 10.1046/j.1365-2427.2000.00560.x
   ELLIOTT JM, 1995, FUNCT ECOL, V9, P290, DOI 10.2307/2390576
   Finstad AG, 2004, J ANIM ECOL, V73, P959, DOI 10.1111/j.0021-8790.2004.00871.x
   FRY FEJ, 1948, BIOL BULL-US, V94, P66, DOI 10.2307/1538211
   Gargan PG, 2016, AQUACULT ENV INTERAC, V8, P675, DOI 10.3354/aei00211
   Hayes JP, 1999, EVOLUTION, V53, P1280, DOI 10.1111/j.1558-5646.1999.tb04540.x
   Hoogenboom MO, 2013, BEHAV ECOL, V24, P253, DOI 10.1093/beheco/ars161
   Hopkins Kevin D., 1992, Journal of the World Aquaculture Society, V23, P173, DOI 10.1111/j.1749-7345.1992.tb00766.x
   Jackson DM, 2001, J ANIM ECOL, V70, P633, DOI 10.1046/j.1365-2656.2001.00518.x
   Jonsson B, 2009, J FISH BIOL, V75, P2381, DOI 10.1111/j.1095-8649.2009.02380.x
   Killen SS, 2013, TRENDS ECOL EVOL, V28, P651, DOI 10.1016/j.tree.2013.05.005
   Larivée ML, 2010, FUNCT ECOL, V24, P597, DOI 10.1111/j.1365-2435.2009.01680.x
   Lefevre S, 2016, CONSERV PHYSIOL, V4, DOI 10.1093/conphys/cow009
   Limburg KE, 2009, BIOSCIENCE, V59, P955, DOI 10.1525/bio.2009.59.11.7
   McCarthy ID, 2000, J FISH BIOL, V57, P224, DOI 10.1006/jfbi.2000.1313
   Metcalfe NB, 2016, J FISH BIOL, V88, P298, DOI 10.1111/jfb.12699
   METCALFE NB, 1995, ANIM BEHAV, V49, P431, DOI 10.1006/anbe.1995.0056
   Murchie KJ, 2011, J EXP MAR BIOL ECOL, V396, P147, DOI 10.1016/j.jembe.2010.10.019
   Nespolo RF, 2001, PHYSIOL BIOCHEM ZOOL, V74, P325, DOI 10.1086/320420
   Nicieza A, 2009, OECOLOGIA, V159, P27, DOI 10.1007/s00442-008-1194-8
   Norin T, 2016, J FISH BIOL, V88, P122, DOI 10.1111/jfb.12796
   Norin T, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0180
   Norin T, 2016, FUNCT ECOL, V30, P369, DOI 10.1111/1365-2435.12503
   Norin T, 2011, J EXP BIOL, V214, P1668, DOI 10.1242/jeb.054205
   O'Connor KI, 2000, J FISH BIOL, V57, P41, DOI 10.1111/j.1095-8649.2000.tb00774.x
   Pettersen AK, 2018, J EXP BIOL, V221, DOI 10.1242/jeb.166876
   Pilakouta N, 2020, FUNCT ECOL, V34, P1205, DOI 10.1111/1365-2435.13538
   Poole WR., 2007, Sea trout: Biology, Conservation and Management, P279
   R Core Team, 2023, CRAN
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Reed TE, 2010, P ROY SOC B-BIOL SCI, V277, P3391, DOI 10.1098/rspb.2010.0771
   Reid D, 2012, J ANIM ECOL, V81, P868, DOI 10.1111/j.1365-2656.2012.01969.x
   Reid D, 2011, FUNCT ECOL, V25, P1360, DOI 10.1111/j.1365-2435.2011.01894.x
   Robertsen G, 2019, ECOL EVOL, V9, P212, DOI 10.1002/ece3.4716
   Robertsen G, 2014, J ANIM ECOL, V83, P791, DOI 10.1111/1365-2656.12182
   Sadowska J, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2576
   Sandblom E, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11447
   Sandblom E, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1490
   Schindler DE, 2015, FRONT ECOL ENVIRON, V13, P257, DOI 10.1890/140275
   Schulte PM, 2015, J EXP BIOL, V218, P1856, DOI 10.1242/jeb.118851
   Schulte PM, 2011, INTEGR COMP BIOL, V51, P691, DOI 10.1093/icb/icr097
   Seebacher F, 2015, NAT CLIM CHANGE, V5, P61, DOI 10.1038/NCLIMATE2457
   Seneviratne SI, 2014, NAT CLIM CHANGE, V4, P161, DOI 10.1038/nclimate2145
   Seppänen E, 2010, COMP BIOCHEM PHYS A, V156, P278, DOI 10.1016/j.cbpa.2010.02.014
   Sigourney DB, 2013, ECOL FRESHW FISH, V22, P495, DOI 10.1111/eff.12042
   Svendsen MBS, 2016, J FISH BIOL, V88, P26, DOI 10.1111/jfb.12797
   Thomas DW, 2001, SCIENCE, V291, P2598, DOI 10.1126/science.1057487
   van de Ven TMFN, 2013, COMP BIOCHEM PHYS A, V165, P319, DOI 10.1016/j.cbpa.2013.04.001
   Versteegh MA, 2012, J EXP BIOL, V215, P3459, DOI 10.1242/jeb.073445
   Warton DI, 2012, METHODS ECOL EVOL, V3, P257, DOI 10.1111/j.2041-210X.2011.00153.x
   Wone BWM, 2015, HEREDITY, V114, P419, DOI 10.1038/hdy.2014.122
   Yamamoto T, 1998, J FISH BIOL, V52, P281, DOI 10.1111/j.1095-8649.1998.tb00799.x
   Zeng LQ, 2018, COMP BIOCHEM PHYS A, V217, P26, DOI 10.1016/j.cbpa.2017.12.011
   Zub K, 2014, BIOL J LINN SOC, V113, P297, DOI 10.1111/bij.12306
NR 81
TC 8
Z9 8
U1 1
U2 18
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8452
EI 1471-2954
J9 P ROY SOC B-BIOL SCI
JI Proc. R. Soc. B-Biol. Sci.
PD SEP 8
PY 2021
VL 288
IS 1958
AR 20211509
DI 10.1098/rspb.2021.1509
PG 10
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA UQ1DS
UT WOS:000695812400001
PM 34521251
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Hassan, ST
   Zhu, BZ
   Lee, CC
   Ahmad, P
   Sadiq, M
AF Hassan, Syed Tauseef
   Zhu, Bangzhu
   Lee, Chien-Chiang
   Ahmad, Paiman
   Sadiq, Muhammad
TI Asymmetric impacts of public service "transportation" on the
   environmental pollution in China
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Public transport; CO2 emission; Asymmetric effect; NARDL; China
ID CO2 EMISSIONS; ROAD; EFFICIENCY; AIRLINE; LEVEL
AB The quality of public service transportation highly depends on the country's context, including investment, infrastructure development, and technology-based innovation in the transport sector. The core innovation of the present study is the asymmetric impacts of the airline, railway, waterway, and road on environmental pollution in China. This research analyzed and highlighted the most susceptible transportation system in China, using the newly developed Non-linear Autoregressive Distributed Lag (NARDL) model from 1985 to 2018. The results of the NARDL are positive shock and negative shock between CO2 emission and four mode-specific transportation development that led to an increase in environmental cost in the short run. The study findings divulged that airline, road, and waterway operational mileage per capita of both positive and negative transportation shocks had worsened the environmental pollution in China. On the other hand, the railway is successfully improving environmental quality in China. In order to enforce policies, local authorities should be supportive of urban public services (e.g., buses and metro) and improve public transportation services. Simultaneously, policymakers may also introduce new creative ideas for a sharing economy, such as shared bicycles and automobiles to reduce the use of private vehicles. These insights of the study could assist policymakers to improve policies for the four specific modes of transportation to better adapt to climate change and associated environmental stressors in China.
C1 [Hassan, Syed Tauseef; Zhu, Bangzhu] Nanjing Univ Informat Sci & Technol, Sch Business, Nanjing 210044, Peoples R China.
   [Lee, Chien-Chiang] Nanchang Univ, Res Ctr Cent China Econ & Social Dev, Nanchang, Jiangxi, Peoples R China.
   [Lee, Chien-Chiang] Nanchang Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China.
   [Ahmad, Paiman] Univ Raparin, Coll Humanity Sci, Dept Law, Sulaymaniyah, Iraq.
   [Ahmad, Paiman] Tishk Int, Fac Adm Sci & Econ, Int Relat & Diplomacy Dept, Erbil, Iraq.
   [Sadiq, Muhammad] Cent South Univ, Sch Business, Changsha 410083, Peoples R China.
C3 Nanjing University of Information Science & Technology; Nanchang
   University; Nanchang University; Central South University
RP Lee, CC (corresponding author), Nanchang Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China.
EM sthassan_bit@yahoo.com; wpzbz@126.com; cclee6101@gmail.com;
   Paiman@uor.edu.krd
RI Lee, Chi-Chuan/AAD-2211-2020; ahmad, paiman/AAE-9880-2019; Zhu,
   Bangzhu/AFN-2307-2022; Sadiq, Muhammad/GPT-0025-2022
OI Sadiq, Muhammad/0000-0001-6100-9058; Hassan, Syed
   Tasueef/0000-0001-8843-6519; ahmad, Paiman/0000-0002-5887-3782
FU Jiangxi Humanities and Social Sciences Project of University [JJ20125];
   Natural Science Foundation of Jiangxi Province of China
   [20202BAB201006]; National Natural Science Foundation of China
   [72074120]
FX We acknowledge the financial support from the Jiangxi Humanities and
   Social Sciences Project of University (NO. JJ20125); Natural Science
   Foundation of Jiangxi Province of China for financial support through
   Grant No: (20202BAB201006); and National Natural Science Foundation of
   China (72074120).
CR [Anonymous], 2019, TITLE YB CHINA TRANS
   [Anonymous], 2007, EUR C MIN TRANSP, DOI [10.1787/9789282104118-en, DOI 10.1787/9789282104118-EN]
   [Anonymous], 2019, NUCL POWER CLEAN ENE
   [Anonymous], 2019, TITLE BP STAT YEAR 2
   Anupriya, 2020, TRANSPORT RES A-POL, V141, P16, DOI 10.1016/j.tra.2020.08.011
   Azarova V, 2020, TRANSPORT RES D-TR E, V88, DOI 10.1016/j.trd.2020.102541
   Bai CQ, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109765
   Bastida-Molina P, 2020, TRANSPORT RES D-TR E, V88, DOI 10.1016/j.trd.2020.102560
   Beaudoin J, 2015, RES TRANSP ECON, V52, P15, DOI 10.1016/j.retrec.2015.10.004
   Chen Y, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121550
   Chen Z, 2020, TRANSPORT RES A-POL, V142, P1, DOI 10.1016/j.tra.2020.10.002
   Chen ZF, 2017, ENERG ECON, V68, P89, DOI 10.1016/j.eneco.2017.09.015
   Cui Q, 2017, TRANSPORT RES D-TR E, V57, P141, DOI 10.1016/j.trd.2017.09.012
   Dällenbach N, 2020, TRANSPORT RES D-TR E, V86, DOI 10.1016/j.trd.2020.102378
   Danish, 2018, ENVIRON SCI POLLUT R, V25, P9461, DOI 10.1007/s11356-018-1230-0
   Danish,, 2018, ENVIRON SCI POLLUT R, V25, P7541, DOI 10.1007/s11356-017-1072-1
   de Ona J, 2021, TRANSPORT POLICY, V100, P129, DOI 10.1016/j.tranpol.2020.09.011
   Ehigiamusoe KU, 2019, EMPIR ECON, V57, P399, DOI 10.1007/s00181-018-1442-7
   Emberger G, 2020, TRANSPORT POLICY, V98, P55, DOI 10.1016/j.tranpol.2020.08.005
   Godil DI, 2020, ENVIRON SCI POLLUT R, V27, P24190, DOI 10.1007/s11356-020-08619-1
   Goodall N, 2020, TRANSPORT RES A-POL, V142, P14, DOI 10.1016/j.tra.2020.09.024
   Gozbasi O, 2014, ECON MODEL, V38, P381, DOI 10.1016/j.econmod.2014.01.021
   Harvey DI, 2008, STUD NONLINEAR DYN E, V12
   Hassan ST, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101901
   Hassan ST, 2019, ENVIRON SCI POLLUT R, V26, P2929, DOI 10.1007/s11356-018-3803-3
   Hou HM, 2021, ENVIRON IMPACT ASSES, V89, DOI 10.1016/j.eiar.2021.106599
   Huang BN, 2021, EMPIR ECON, V61, P719, DOI 10.1007/s00181-020-01874-8
   Huang F, 2020, J AIR TRANSP MANAG, V84, DOI 10.1016/j.jairtraman.2020.101770
   Huo TF, 2021, ENVIRON IMPACT ASSES, V86, DOI 10.1016/j.eiar.2020.106487
   Jiang XC, 2021, PAC-BASIN FINANC J, V65, DOI 10.1016/j.pacfin.2020.101482
   Lee CC, 2021, PAC-BASIN FINANC J, V65, DOI 10.1016/j.pacfin.2020.101480
   Lee CC, 2021, ENERG ECON, V97, DOI 10.1016/j.eneco.2020.105021
   Lee CC, 2021, INT REV ECON FINANC, V71, P830, DOI 10.1016/j.iref.2020.10.015
   Lee CC, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123671
   Li X, 2017, TRANSPORT RES D-TR E, V57, P130, DOI 10.1016/j.trd.2017.09.008
   Liu HW, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123677
   Liu L., 2020, ENERGY RES LETT, V1, P13154, DOI [DOI 10.46557/001C.13154, 10.46557/001c.13154]
   Lu QY, 2020, J CLEAN PROD, V245, DOI 10.1016/j.jclepro.2019.118892
   Narayan PK, 2010, J APPL STAT, V37, P1425, DOI 10.1080/02664760903039883
   Paudel J, 2021, TRANSPORT POLICY, V100, P98, DOI 10.1016/j.tranpol.2020.10.010
   Pesaran MH, 2001, J APPL ECONOMET, V16, P289, DOI 10.1002/jae.616
   Rungskunroch P, 2021, ENVIRON IMPACT ASSES, V90, DOI 10.1016/j.eiar.2021.106608
   Shahbaz M, 2018, ENVIRON MODEL ASSESS, V23, P141, DOI 10.1007/s10666-017-9574-2
   Shin Y., 2014, Festschrift in honor of Peter Schmidt: Econometric methods and applications, P281, DOI [10.1007/978-1-4899-8008-3_9, DOI 10.1007/978-1-4899-8008-39, DOI 10.1007/978-1-4899-8008-3_9]
   Tao H, 2021, ENVIRON IMPACT ASSES, V87, DOI 10.1016/j.eiar.2020.106542
   Hassan ST, 2021, ENERG ENVIRON-UK, V32, P338, DOI 10.1177/0958305X20932550
   Tong TT, 2018, J TRANSP GEOGR, V73, P120, DOI 10.1016/j.jtrangeo.2018.10.016
   Wang C, 2020, J CLEAN PROD, V266, DOI 10.1016/j.jclepro.2020.122000
   Wang ZH, 2019, ENVIRON SCI POLLUT R, V26, P34884, DOI 10.1007/s11356-019-06542-8
   Wanke P, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110163
   Wen HW, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120201
   Xie R, 2019, EMERG MARK FINANC TR, V55, P1294, DOI 10.1080/1540496X.2018.1526076
   Yang WY, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.133900
   Zahedi S, 2019, SCI TOTAL ENVIRON, V646, P850, DOI 10.1016/j.scitotenv.2018.07.361
   Zhang KY, 2019, ENVIRON SCI POLLUT R, V26, P17383, DOI 10.1007/s11356-019-05076-3
   Zhang LK, 2021, APPL MATH MODEL, V89, P1860, DOI 10.1016/j.apm.2020.09.009
NR 56
TC 27
Z9 27
U1 3
U2 23
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 2021
VL 91
AR 106660
DI 10.1016/j.eiar.2021.106660
EA JUL 2021
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WB9BQ
UT WOS:000703861100014
DA 2025-01-10
ER

PT J
AU Djoundourian, SS
AF Djoundourian, Salpie S.
TI Response of the Arab world to climate change challenges and the Paris
   agreement
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article
DE Climate change; Arab world; UNFCCC; NDC; Environmental performance index
   (EPI); Sustainable development goals (SDGs)
ID ECONOMIC-GROWTH; KUZNETS CURVE
AB This paper reviews the national environmental agenda of Arab countries in the Middle East and Africa in an attempt to determine coherence of local efforts with the international environmental commitments these countries have made by signing and ratifying the Paris Agreement under the United Nations Framework and Convention on Climate Change. The paper succinctly summarizes the impacts of climate change on the countries of the region and the responses of individual countries to the eminent environmental threats. Using country specific data, the paper identifies the mitigation and adaptation measures that individual governments communicated in their initial Nationally Determined Contributions to combat climate change and support concomitantly the realization of the United Nations Sustainable Development Goals pertinent to climate impacts. Furthermore, this paper evaluates the overall environmental commitment and performance of the Arab countries and compares them to the average global performance. The findings indicate that most of the Arab countries are heading toward severe water shortages due to deteriorating water supply and growing water demand. The paper concludes that the Arab countries, individually and collectively embrace the Paris Agreement and engage in necessary measures to combat and/or adapt to climate change. Furthermore, the paper presents supporting evidence to show that the Arab countries are at par with the rest of the world when dealing with climate change issues.
C1 [Djoundourian, Salpie S.] Lebanese Amer Univ, Dept Econ, Adnan Kassar Sch Business, Beirut, Lebanon.
C3 Lebanese American University
RP Djoundourian, SS (corresponding author), Lebanese Amer Univ, Dept Econ, Adnan Kassar Sch Business, Beirut, Lebanon.
EM sdjndran@lau.edu.lb
RI Djoundourian, Salpie/AAG-8107-2020
CR Al-Awad TK, 2018, INT ENVIRON AGREEM-P, V18, P391, DOI 10.1007/s10784-018-9393-1
   Al-Sarihi A., 2019, EDA Insight: Research & Analysis
   [Anonymous], 2020, SDG INDEX DASHBOARDS
   [Anonymous], 2014, Aquaculture Department, The State of World Fisheries and Aquaculture
   Baalbaki R, 2020, ECON BULL, V40, P1049
   BECKERMAN W, 1992, WORLD DEV, V20, P481, DOI 10.1016/0305-750X(92)90038-W
   Cheung W., 2019, CLIMATE IMPACTS OCEA, P2019
   CONKER A, INT ENVIRON AGREEM-P, V20, P103
   Djoundourian Salpie, 2011, Environment Development and Sustainability, V13, P743, DOI 10.1007/s10668-011-9287-7
   Djoundourian Salpie, 2009, Environment Development and Sustainability, V11, P427, DOI 10.1007/s10668-007-9122-3
   Duroy Q.M., 2005, Rensselaer Working Papers in Economics
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443
   IFAD, 2009, FIGHTING WATER SCARC
   Lincke, 2018, MENDELEY DATA V1, DOI 10.17632/76w6bj5md5.1#file-888eed48-a88e-4de6-af9d-f80aa31e0a92
   Nejdawi Reem, ARAB SUSTAINABLE DEV
   Saab, 2017, 2017 ANN REP AR FOR
   Saab N., 2009, IMP CLIM CHANG AR CO
   Sadik AK, 2018, 2018 ANN REP AR FOR
   Schalatek L., 2020, CLIMATE FINANCE FUND, V9
   SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031
   Stern DI, 1996, WORLD DEV, V24, P1151, DOI 10.1016/0305-750X(96)00032-0
   Weinthal E, 2015, INT ENVIRON AGREEM-P, V15, P293, DOI 10.1007/s10784-015-9279-4
   Wendling Z.A., 2018, 2018 ENV PERFORMANCE
   World Resources Institute, 2020, CLIMATE WATCH DATA
   Zhu YJ, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138704
NR 26
TC 19
Z9 19
U1 1
U2 14
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1567-9764
EI 1573-1553
J9 INT ENVIRON AGREEM-P
JI Int. Environ. Agreem.-Polit. Law Econom.
PD SEP
PY 2021
VL 21
IS 3
BP 469
EP 491
DI 10.1007/s10784-021-09524-9
EA FEB 2021
PG 23
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA UC6RV
UT WOS:000613166100001
DA 2025-01-10
ER

PT J
AU Westengen, OT
   Lusty, C
   Yazbek, M
   Amri, A
   Asdal, Å
AF Westengen, Ola T.
   Lusty, Charlotte
   Yazbek, Mariana
   Amri, Ahmed
   Asdal, Asmund
TI Safeguarding a global seed heritage from Syria to Svalbard
SO NATURE PLANTS
LA English
DT Article
ID PLANT GENETIC-RESOURCES; CLIMATE-CHANGE; FOOD SECURITY; FARMERS
AB Crop diversity underpins food security and adaptation to climate change. Concerted conservation efforts are needed to maintain and make this diversity available to plant scientists, breeders and farmers. Here we present the story of the rescue and reconstitution of the unique seed collection held in the international genebank of International Center for Agricultural Research in the Dry Areas (ICARDA) in Syria. Being among the first depositors to the Svalbard Global Seed Vault, ICARDA managed to safety duplicate more than 80% of its collection before the last staff had to leave the genebank in 2014 because of the war. Based on the safety duplicates, ICARDA since 2015 have rebuilt their collections and resumed distribution of seeds to users internationally from their new premises in Morocco and Lebanon. We describe the multifaceted and layered structure of the global system for the conservation and use of crop diversity that enabled this successful outcome. Genebanks do not work alone but in an increasingly strengthened and experienced multilateral system of governance, science, financial support and collaboration. This system underpins efforts to build sustainable and socially equitable agri-food systems.
   Genebanks are repositories of genetic diversity, and getting the seeds to the facilities depends on committed researchers going, if necessary, into war-torn areas in order to save and transport their resources. This narrative recounts one such journey and the system that underpins these facilities and individuals.
C1 [Westengen, Ola T.] Norwegian Univ Life Sci, Dept Int Environm & Dev Studies, As, Norway.
   [Lusty, Charlotte] Global Crop Div Trust, Bonn, Germany.
   [Yazbek, Mariana] ICARDA, Beirut, Lebanon.
   [Amri, Ahmed] ICARDA, Rabat, Morocco.
   [Asdal, Asmund] NordGen, Alnarp, Sweden.
C3 Norwegian University of Life Sciences; CGIAR; International Center for
   Agricultural Research in the Dry Areas (ICARDA)
RP Westengen, OT (corresponding author), Norwegian Univ Life Sci, Dept Int Environm & Dev Studies, As, Norway.
EM ola.westengen@nmbu.no
CR Alexanyan S. M., 1991, Diversity, V7, P10
   Amri A., 2015, ICARDAS GENEBANK RES
   Andersen R, 2017, ROUTL HANDBK, P449
   [Anonymous], 2014, Genebank Standards For Plant Genetic Resources For Food And Agriculture
   [Anonymous], 2020, STAND AGR DEP NORW M
   [Anonymous], 2010, 2 FAO
   [Anonymous], 2004, ECOLOGICAL IMPERIALI
   [Anonymous], 2019, STATE WORLDS BIODIVE
   [Anonymous], 2020, TRACK PROGR FOOD AGR
   Bari A, 2012, GENET RESOUR CROP EV, V59, P1465, DOI 10.1007/s10722-011-9775-5
   Brück T, 2019, WORLD DEV, V117, P167, DOI 10.1016/j.worlddev.2019.01.007
   CGIAR Genebank Platform, 2018, ANN REPORT
   Cumming-Bruce Nick., 2017, The New York Times
   de Châtel F, 2014, MIDDLE EASTERN STUD, V50, P521, DOI 10.1080/00263206.2013.850076
   Diamond J, 2003, SCIENCE, V300, P597, DOI 10.1126/science.1078208
   Esquinas-Alcazar J. T., 2012, PLANT GENETIC RESOUR, P35
   Fowler C, 2004, ANNU REV ENV RESOUR, V29, P143, DOI 10.1146/annurev.energy.29.062403.102203
   Frankel OH., 1970, GENETIC RESOURCES PL
   Gilmore EA, 2018, CURR CLIM CHANGE REP, V4, P313, DOI 10.1007/s40641-018-0119-9
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Harlan J., 1975, Crops and man
   HARLAN JR, 1975, SCIENCE, V188, P618, DOI 10.1126/science.188.4188.617
   Hufford MB, 2019, ANNU REV PLANT BIOL, V70, P727, DOI 10.1146/annurev-arplant-042817-040240
   Kanfash M., 2019, The Guardian
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Khoury CK, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.0792
   Lagi M, 2011, SSRN ELECT J, DOI DOI 10.2139/SSRN.1910031
   Larson G, 2014, P NATL ACAD SCI USA, V111, P6139, DOI 10.1073/pnas.1323964111
   Mbow C, 2019, CLIMATE CHANGE LAND
   Noriega IL, 2019, CROP SCI, V59, P819, DOI 10.2135/cropsci2018.08.0526
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Qvenild M, 2008, DEV PRACT, V18, P110, DOI 10.1080/09614520701778934
   Toledo a., 2012, ROLE INT TREATY PLAN
   van Hintum T, 2011, PLANT GENET RESOUR-C, V9, P478, DOI 10.1017/S1479262111000682
   Werrell C., 2015, SAIS REV INT AFFAIRS, V35, P29, DOI [DOI 10.1353/SAIS.2015, DOI 10.1353/SAIS.2015.0002.PR0JECT, 10.1353/sais.2015.0002]
   Westengen OT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064146
   WHO, 2017, COPTIC MARTYRDOM AGE
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Zohary D, 2000, DOMESTICATION PLANTS, DOI DOI 10.1006/ANBO.2001.1505
NR 39
TC 10
Z9 11
U1 2
U2 20
PU NATURE RESEARCH
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2055-026X
EI 2055-0278
J9 NAT PLANTS
JI Nat. Plants
PD NOV
PY 2020
VL 6
IS 11
BP 1311
EP 1317
DI 10.1038/s41477-020-00802-z
PG 7
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA OP5UE
UT WOS:000588150800004
PM 33168982
DA 2025-01-10
ER

PT J
AU Xu, WP
   Xiang, LL
   Proverbs, D
AF Xu, Wenping
   Xiang, Lingli
   Proverbs, David
TI Assessing Community Resilience to Urban Flooding in Multiple Types of
   the Transient Population in China
SO WATER
LA English
DT Article
DE community resilience; transient communities; AHP-BP model; urban floods
ID INDICATORS; FRAMEWORK
AB While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process-back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.
C1 [Xu, Wenping; Xiang, Lingli] Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
   [Proverbs, David] Birmingham City Univ, Fac Comp Engn & Built Environm, Birmingham B4 7BD, W Midlands, England.
C3 Wuhan University of Science & Technology; Birmingham City University
RP Xu, WP (corresponding author), Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
EM xuwenping@wust.edu.cn; xianglingli1017@163.com; David.Proverbs@bcu.ac.uk
RI Proverbs, David/AAL-1178-2020
OI Proverbs, David/0000-0002-3297-2205; xu, wenping/0000-0003-4474-1583
FU National Natural Science Foundation of China [71503194]; Youth
   Foundation of Education Department of Hubei Province [17Q043]; Centre
   for Service Science and Engineering Foundation of WUST [CSSE2017GA02]
FX The research was funded by the National Natural Science Foundation of
   China [grant number, 71503194]; the Youth Foundation of Education
   Department of Hubei Province [grant number, 17Q043]; and the Centre for
   Service Science and Engineering Foundation of WUST [grant number,
   CSSE2017GA02].
CR Adedeji T, 2019, WATER-SUI, V11, DOI 10.3390/w11081699
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Alliance R., 2010, ASSESSING RESILIENCE, P1
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Basheer IA, 2000, J MICROBIOL METH, V43, P3, DOI 10.1016/S0167-7012(00)00201-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cundill G, 2017, ECOSYST SERV, V28, P140, DOI 10.1016/j.ecoser.2017.03.011
   Cutter S L., 2008, Geography, V1, P2301
   Cutter S.L., 2016, Journal of Extreme Events, V3, P1671005, DOI [DOI 10.1142/S2345737616710056, 10.1142/S2345737616710056]
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   Florin M.-V., 2018, IRGC RESOURCE GUIDE
   Hagenlocher M, 2014, IEEE J-STARS, V7, P229, DOI 10.1109/JSTARS.2013.2259579
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holz E., 2017, TRENDS URBAN RESILIE
   Hou JD, 2016, NAT HAZARDS, V84, pS97, DOI 10.1007/s11069-015-1931-3
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Khalil N, 2016, ECOL INDIC, V71, P567, DOI 10.1016/j.ecolind.2016.07.032
   Khalili S, 2015, INT J DISAST RISK RE, V13, P248, DOI 10.1016/j.ijdrr.2015.06.009
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Li D.Z., 2018, CONSTR EC, V39, P92
   Liang J., 2020, ECOL ENV, V2, P6, DOI [10.1016/j.wsee.2020.06.001, DOI 10.1016/J.WSEE.2020.06.001]
   Linkov I., 2017, Resilience and risk: Methods and application in environment, cyber and social domains
   Liu M., 2006, SOFT SCI, P136
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Macharia D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104102
   Mahtani US, 2018, TRANSPORT RES A-POL, V117, P87, DOI 10.1016/j.tra.2018.08.016
   Malhi GS, 2019, TRANSL PSYCHIAT, V9, DOI 10.1038/s41398-019-0651-y
   Mberego S, 2017, INT REV SPAT PLAN SU, V5, P116, DOI 10.14246/irspsd.5.3_116
   McGill R, 2020, J URBAN MANAG, V9, P372, DOI 10.1016/j.jum.2020.04.004
   Meng L.J., 2016, P 2016 CHIN URB PLAN
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Connell D., 2015, RESILIENCE ADAPTATIO
   Peng J.D., 2017, P CHIN URB PLANN ANN
   QIN YY, 2016, J MANAG SCI CHINA, V11, DOI DOI 10.1186/S11671-016-1248-5
   Rossano L., 2011, HYOGO FRAMEWORK ACTI
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Schaefer M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020635
   Shen J.K., 2017, LANDSCAPE ARCHIT, V98, P106
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Sritart H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187355
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   Tai HS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187472
   Tepper F., 2015, INT J DISASTER RISK, P210
   United Nations, 2015, No.A/RES/70/1.
   Walker BH, 2009, ECOL SOC, V14
   Wang Y., 2019, POPUL EC, V42, P56
   Xia J.G., 2007, ECON GEOGR, P1015
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yang J.G., 2012, MACH DES MANUF, P272
   Yang M.X., 2016, URBAN PLAN FORUM, V48, P55
   [于景元 Yu Jingyuan], 2002, [系统工程理论与实践, Systems Engineering-Theory & Practice], V22, P26
   Zhang H., 2020, EC ISSUES, P114, DOI [10.16011/j.cnki.jjwt.2020.04.014, DOI 10.16011/J.CNKI.JJWT.2020.04.014]
   ZHANG Q, 2015, ARCHIT CULT, P94
   ZHAO J, 2018, URBAN ARCHIT, P30
   Zhou L.M., 2017, COMP EC SOC SYST, V22, P33
NR 62
TC 16
Z9 17
U1 14
U2 94
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD OCT
PY 2020
VL 12
IS 10
AR 2784
DI 10.3390/w12102784
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA ON8YV
UT WOS:000586979800001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Baeza, A
   Bojorquez-Tapia, LA
   Janssen, MA
   Eakin, H
AF Baeza, Andres
   Bojorquez-Tapia, Luis A.
   Janssen, Marco A.
   Eakin, Hallie
TI Operationalizing the feedback between institutional decision-making,
   socio-political infrastructure, and environmental risk in urban
   vulnerability analysis
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Governance; Multi-criteria; Agent-based model; Climate change; Water
   scarcity; Flooding; Protests; Multi-scale; Adaptation
ID POLICY-MAKING; MEXICO-CITY; WATER; RESILIENCE; INVESTMENT; POLITICS;
   SYSTEMS
AB Urban adaptation to climate change is likely to emerge from the responses of residents, authorities, and infrastructure providers to the impact of flooding, water scarcity, and other climate-related hazards. These responses are, in part, modulated by political relationships under cultural norms that dominate the institutional and collective decisions of public and private actors. The legacy of these decisions, which are often associated with investment in hard and soft infrastructure, has lasting consequences that influence current and future vulnerabilities. Making those decisions visible, and tractable is, therefore, an urgent research and political challenge in vulnerability assessments. In this work, we present a modeling framework to explore scenarios of institutional decision-making and socio-political processes and the resultant effects on spatial patterns of vulnerability. The approach entails using multi-criteria decision analysis, agent-based models, and geographic information simulation. The approach allows for the exploration of uncertainties, spatial patterns, thresholds, and the sensitivities of vulnerability outcomes to different policy scenarios. Here, we present the operationalization of the framework through an intentionally simplified model example of the governance of water in Mexico City. We discuss results from this example as part of a larger effort to empirically implement the framework to explore sociohydrological risk patterns and trade-offs of vulnerability in real urban landscapes.
C1 [Baeza, Andres; Janssen, Marco A.; Eakin, Hallie] Arizona State Univ, Sch Sustainabil, Tempe, AZ USA.
   [Bojorquez-Tapia, Luis A.] Univ Nacl Autonoma Mexico, Inst Ecol, Lab Nacl Ciencias Sostenibilidad LANCIS, Mexico City 04510, DF, Mexico.
   [Baeza, Andres] Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ 85287 USA.
C3 Arizona State University; Arizona State University-Tempe; Universidad
   Nacional Autonoma de Mexico; Arizona State University; Arizona State
   University-Tempe
RP Baeza, A (corresponding author), Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, Tempe, AZ 85287 USA.
EM abaezaca@asu.edu
OI Eakin, Hallie/0000-0001-8253-1320; Janssen, Marco/0000-0002-1240-9052
FU National Science Foundation [1414052]; Inter-American Institute for
   Global Change Research [CRN3108]
FX This work was supported by the National Science Foundation under Grant
   #1414052, CNH: The Dynamics of Multi -Scalar Adaptation in Megacities
   (PI: Hallie Eakin.). Inter-American Institute for Global Change Research
   under grant CRN3108, Coping with hydrological risk in megacities:
   Collaborative planning framework for the Mexico City Metropolitan Area
   (PI Luis A. Bojorquez-Tapia). Any results, errors, or interpretations
   presented in the manuscript are the responsibilities of the authors and
   not of the funding agency.
CR Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Akhbari M, 2013, WATER RESOUR MANAG, V27, P4039, DOI 10.1007/s11269-013-0394-0
   An L, 2012, ECOL MODEL, V229, P25, DOI 10.1016/j.ecolmodel.2011.07.010
   Anderies JM, 2016, INT J COMMONS, V10, P495, DOI 10.18352/ijc.651
   [Anonymous], J SOCIOL ENV SYST MO
   [Anonymous], 2017, Complexity in Society: From Indicators Construction to their Synthesis
   [Anonymous], REV DIREITO CID
   [Anonymous], INTEGR ASSESS
   [Anonymous], PHILOS T R SOC LON A
   Barthel R, 2010, WATER RESOUR MANAG, V24, P239, DOI 10.1007/s11269-009-9445-y
   Beinat E., 1997, Value Functions for Environmental Management
   Biggs R., 2015, Principles for building resilience: Sustaining ecosystem services in socialecological systems, P105, DOI DOI 10.1017/CBO9781316014240.006
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Bojórquez-Tapia LA, 2005, ENVIRON MANAGE, V36, P469, DOI 10.1007/s00267-004-0127-5
   Bojórquez-Tapia LA, 2001, INT J GEOGR INF SCI, V15, P129, DOI 10.1080/13658810010005534
   Bojórquez-Tapia LA, 2011, ENVIRON PLANN B, V38, P539, DOI 10.1068/b36129
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2015, P NATL ACAD SCI USA, V112, P14384, DOI 10.1073/pnas.1511804112
   Castro JE, 2004, ENVIRON PLANN A, V36, P327, DOI 10.1068/a35159
   Checkland P, 2006, Learning for Action: A Short Definitive Account of Soft Systems Methodology and its use for Practitioners, Teachers and Students
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Cova T. J., 2000, Computers, Environment and Urban Systems, V24, P401, DOI 10.1016/S0198-9715(00)00015-6
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Eakin H, 2016, ENVIRON SCI POLICY, V66, P324, DOI 10.1016/j.envsci.2016.06.006
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Elsawah S, 2015, J ENVIRON MANAGE, V151, P500, DOI 10.1016/j.jenvman.2014.11.028
   Epstein JM, 2002, P NATL ACAD SCI USA, V99, P7243, DOI 10.1073/pnas.092080199
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fowler JH, 2005, AM J SOCIOL, V110, P1070, DOI 10.1086/426554
   Galán JM, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006536
   GRAMLICH EM, 1994, J ECON LIT, V32, P1176
   Aguilar AG, 2009, J LAT AM GEOGR, V8, P97, DOI 10.1353/lag.0.0056
   Henderson JV, 2016, SCIENCE, V352, P946, DOI 10.1126/science.aaf7150
   Hunt JCR, 2018, P I CIVIL ENG-ENG SU, V171, P314, DOI 10.1680/jensu.16.00068
   Jacobs AM, 2008, BRIT J POLIT SCI, V38, P193, DOI 10.1017/S0007123408000112
   Janssen M., 2007, International Journal of the Commons, V1, P43
   Janssen MA, 2006, ECOL SOC, V11
   Jones NA, 2011, ECOL SOC, V16
   Kabir G, 2014, STRUCT INFRASTRUCT E, V10, P1176, DOI 10.1080/15732479.2013.795978
   Kloster Karina, 2007, Perf. latinoam., V14, P137
   Leitch A.M., 2015, Principles for Building Resilience, P201, DOI DOI 10.1017/CBO9781316014240.009
   LEMOS C., 2013, P 11 EUR WORKSH MULT, P124
   Manson S, 2006, COMPUT ENVIRON URBAN, V30, P230, DOI 10.1016/j.compenvurbsys.2005.01.009
   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
   Mendoza GA, 2006, FOREST ECOL MANAG, V230, P1, DOI 10.1016/j.foreco.2006.03.023
   Morgan M. G., 2002, RISK COMMUNICATION M
   NORDHAUS WD, 1975, REV ECON STUD, V42, P169, DOI 10.2307/2296528
   Pahl-Wostl C, 2007, ENVIRON MODELL SOFTW, V22, P561, DOI 10.1016/j.envsoft.2005.12.024
   Pahl-Wostl C, 2003, MODSIM 2003: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, VOLS 1-4, P465
   Pahl-Wostl C., 2008, Environmental futures: The practice of environmental scenario analysis, P105
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Railsback SF., 2019, Agent-Based and Individual-Based Modeling: A Practical Introduction, V2nd edn
   Saaty T. L., 2004, Journal of Systems Science and Systems Engineering, V13, P1, DOI 10.1007/s11518-006-0151-5
   Scheffran J, 2011, REG ENVIRON CHANGE, V11, pS27, DOI 10.1007/s10113-010-0175-8
   Seto KC, 2017, P NATL ACAD SCI USA, V114, P8935, DOI 10.1073/pnas.1606037114
   Shelton RE, 2018, J ENVIRON MANAGE, V227, P200, DOI 10.1016/j.jenvman.2018.08.094
   Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426
   Torrens PM, 2013, ANN ASSOC AM GEOGR, V103, P20, DOI 10.1080/00045608.2012.685047
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   World Bank, 2015, World Development Report 2015: Mind, Society, and Behavior
   Zeigler B. P., 2019, THEORY MODELING SIMU
NR 62
TC 17
Z9 19
U1 1
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 JUL 1
PY 2019
VL 241
BP 407
EP 417
DI 10.1016/j.jenvman.2019.03.138
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IA9SE
UT WOS:000469896300041
PM 31030122
DA 2025-01-10
ER

PT J
AU Marti, AFI
   Dodd, RS
AF Fernandez i Marti, Angel
   Dodd, Richard S.
TI Using CRISPR as a Gene Editing Too for Validating Adaptive Gene Function
   in Tree Landscape Genomics
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE CRISPR/Cas9; ecological genomics; genome editing; forest trees; climate
   change; adaptation
ID AGROBACTERIUM-MEDIATED TRANSFORMATION; TARGETED MUTAGENESIS;
   POPULUS-TRICHOCARPA; STRESS TOLERANCE; SYSTEM; RNA; ADAPTATION;
   MULTIPLEX; PROTOCOL; POPLAR
AB Anthropogenic activities have substantially modified natural forested ecosystems around the world through species exploitation, land-use changes, soil degradation, pollution and introduction of exotic species. The impacts of these activities are being exacerbated today by climate change that is expected to become more severe over the coming decades. Modern landscape genomics has made advances in identifying genes that are associated with phenotypic expression, but they have been unable to prove that the associations are more than correlative. The threats to biological diversity raised by climate change, underscore the need to have an improved understanding of the genetic basis of phenotypic traits. In sedentary, long-lived tree species this becomes of utmost importance, as the success of populations is likely to depend, in large part, on existing standing genetic variation. The most recent technologies of gene editing (CRISPR/Cas9) promise to be an elegant approach that will move forest tree genomics to the next level, by allowing the rigorous testing of gene function and its role in the adaptation of trees to their environment. This perspectives paper looks at how genome editing technologies can be used to advance our understanding of the role genes play in adaptation to climate change in woody plants. We discuss the different CRISPR modes than can be used in studies of adaptive traits in perennial species.
C1 [Fernandez i Marti, Angel; Dodd, Richard S.] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
   [Fernandez i Marti, Angel; Dodd, Richard S.] IGI, Berkeley, CA USA.
C3 University of California System; University of California Berkeley
RP Dodd, RS (corresponding author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.; Dodd, RS (corresponding author), IGI, Berkeley, CA USA.
EM dodd@berkeley.edu
FU Innovative Genomics Institute (IGI)
FX This work was supported by the Innovative Genomics Institute (IGI)
   grants.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Alvarez R, 2007, PLANT CELL TISS ORG, V91, P45, DOI 10.1007/s11240-007-9276-6
   Andrade GM, 2009, PLANT CELL REP, V28, P1385, DOI 10.1007/s00299-009-0738-7
   Barrett RDH, 2011, NAT REV GENET, V12, P767, DOI 10.1038/nrg3015
   Benedict C, 2006, PLANT CELL ENVIRON, V29, P1259, DOI 10.1111/j.1365-3040.2006.01505.x
   Busov VB, 2003, PLANT PHYSIOL, V132, P1283, DOI 10.1104/pp.103.020354
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Castellanos-Hernández OA, 2009, PLANT CELL TISS ORG, V99, P175, DOI 10.1007/s11240-009-9590-2
   Chuine I, 2006, CAN J FOREST RES, V36, P1059, DOI 10.1139/X06-005
   Cong L, 2013, SCIENCE, V339, P819, DOI 10.1126/science.1231143
   Cook BI, 2012, P NATL ACAD SCI USA, V109, P9000, DOI 10.1073/pnas.1118364109
   Dutt M, 2010, PLANT CELL REP, V29, P1251, DOI 10.1007/s00299-010-0910-0
   Fan D, 2015, SCI REP-UK, V5, DOI 10.1038/srep12217
   FILLATTI JJ, 1987, MOL GEN GENET, V206, P192, DOI 10.1007/BF00333574
   Gonzalez P, 2010, GLOBAL ECOL BIOGEOGR, V19, P755, DOI 10.1111/j.1466-8238.2010.00558.x
   Häggman H, 2013, PLANT BIOTECHNOL J, V11, P785, DOI 10.1111/pbi.12100
   Hartung F, 2014, PLANT J, V78, P742, DOI 10.1111/tpj.12413
   ISHINO Y, 1987, J BACTERIOL, V169, P5429, DOI 10.1128/jb.169.12.5429-5433.1987
   Jacobs JZ, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6344
   Jia HG, 2016, PLANT BIOTECHNOL J, V14, P1291, DOI 10.1111/pbi.12495
   Jinek M, 2012, SCIENCE, V337, P816, DOI 10.1126/science.1225829
   Kikuchi A., 2006, BREED RES, V8, P17
   Li YL, 2009, TREE PHYSIOL, V29, P273, DOI 10.1093/treephys/tpn025
   LOOPSTRA CA, 1990, PLANT MOL BIOL, V15, P1, DOI 10.1007/BF00017719
   Mao YF, 2013, MOL PLANT, V6, P2008, DOI 10.1093/mp/sst121
   Mauro MC, 1995, PLANT SCI, V112, P97, DOI 10.1016/0168-9452(95)04246-Q
   Mizoi J, 2012, BBA-GENE REGUL MECH, V1819, P86, DOI 10.1016/j.bbagrm.2011.08.004
   Mojica FJM, 2009, MICROBIOL-SGM, V155, P733, DOI 10.1099/mic.0.023960-0
   Mussolino C, 2013, NAT BIOTECHNOL, V31, P208, DOI 10.1038/nbt.2527
   Neale DB, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-3-r59
   Neale DB, 2011, NAT REV GENET, V12, P111, DOI 10.1038/nrg2931
   Nekrasov V, 2013, NAT BIOTECHNOL, V31, P691, DOI 10.1038/nbt.2655
   Nellemann C., 2009, The Environmental Food Crisis - The environment's role in averting future food crises
   Nishitani C, 2016, SCI REP-UK, V6, DOI 10.1038/srep31481
   Noman A, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01740
   Ossola A., 2016, Popular Science
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Pereira HM, 2010, SCIENCE, V330, P1496, DOI 10.1126/science.1196624
   Peterson BA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162169
   Petri C, 2012, METHODS MOL BIOL, V847, P191, DOI 10.1007/978-1-61779-558-9_16
   Plomion C, 2016, MOL ECOL RESOUR, V16, P254, DOI 10.1111/1755-0998.12425
   Potter C. S., 2016, Journal of Earth Science & Climatic Change, V7, P342
   Rodríguez-Leal D, 2017, CELL, V171, P470, DOI 10.1016/j.cell.2017.08.030
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   Stout AT, 2014, BIOMASS BIOENERG, V68, P228, DOI 10.1016/j.biombioe.2014.06.008
   Svitashev S, 2015, PLANT PHYSIOL, V169, P931, DOI 10.1104/pp.15.00793
   Tang W, 2005, PLANT MOL BIOL, V59, P603, DOI 10.1007/s11103-005-0451-z
   Tang W, 2007, PLANT CELL REP, V26, P115, DOI 10.1007/s00299-006-0228-0
   Tsutsui H, 2017, PLANT CELL PHYSIOL, V58, P46, DOI 10.1093/pcp/pcw191
   Tuskan GA, 2006, SCIENCE, V313, P1596, DOI 10.1126/science.1128691
   Ueta R, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-00501-4
   Vidal N, 2010, PLANT CELL REP, V29, P1411, DOI 10.1007/s00299-010-0931-8
   Wadenbäck J, 2008, TRANSGENIC RES, V17, P379, DOI 10.1007/s11248-007-9113-z
   Waltz E, 2016, NAT BIOTECHNOL, V34, P582, DOI 10.1038/nbt0616-582
   Wang FH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160611
   Wang SL, 2015, PLANT CELL REP, V34, P1459, DOI 10.1007/s00299-015-1800-2
   Watanabe K, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10715-1
   Wu JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090528
   Yao JL, 2013, PLANT CELL REP, V32, P703, DOI 10.1007/s00299-013-1404-7
NR 59
TC 18
Z9 18
U1 2
U2 17
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD JUN 4
PY 2018
VL 6
AR 76
DI 10.3389/fevo.2018.00076
PG 7
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HC2WC
UT WOS:000451661600001
OA Green Published, gold
DA 2025-01-10
ER

PT S
AU Letson, D
AF Letson, David
BE Schmitz, A
   Kennedy, PL
   Schmitz, TG
TI Climate Change and Food Security: Florida's Agriculture in the Coming
   Decades
SO WORLD AGRICULTURAL RESOURCES AND FOOD SECURITY: INTERNATIONAL FOOD
   SECURITY
SE Frontiers of Economics and Globalization
LA English
DT Article; Book Chapter
DE Agriculture; climate change; Florida; food security
ID STATE
AB Will Florida's agriculture adapt to climate change? Climate disruptions to agriculture and natural resources in Florida are projected to increase in the future. These impacts will be increasingly negative because critical thresholds are being exceeded. This chapter discusses how Florida's agriculture and natural resources may be affected by climate change in the coming decades.
   Agriculture will be affected by invasive alien species, sea-level-rise flooding, and storm surges. A warmer, drier climate will place agriculture in competition with other users for limited water resources. A serious concern for agriculture is that rising sea level will cause coastal groundwater to become more saline and groundwater levels to rise. The loss of coastal wetlands increases the risk of catastrophic damage due to extreme weather events. Degradation of soil and water assets due to increasing extremes in precipitation will challenge both rainfed and irrigated agriculture without the implementation of innovative conservation methods. High night-time temperatures can reduce grain yields and animal-sourced production. Climate change also increases the vulnerability of forests to ecosystem changes due to decreased soil moisture and increased evapotranspiration. The practical implications are that increased innovation will be needed to ensure the adaptation of agriculture and the associated socioeconomic system can keep pace with climate change. Given the difficulties in predicting our future climate, we must develop new risk-transfer innovations that will facilitate damage recovery. Changes in agricultural yields and food prices could have important implications for food security.
C1 [Letson, David] Univ Miami, RSMAS, Dept Marine Ecosyst & Soc, Miami, FL 33149 USA.
C3 University of Miami
RP Letson, D (corresponding author), Univ Miami, RSMAS, Dept Marine Ecosyst & Soc, Miami, FL 33149 USA.
EM dletson@rsmas.miami.edu
OI Letson, David/0000-0002-9674-6186
CR AgroClimate. org, 2010, STRAWB ADV SYST
   Allen G., 2006, NATL PUBLIC RAD 0510
   ANDERSON SA, 1990, J NUTR, V120, P1559, DOI 10.1093/jn/120.suppl_11.1555
   [Anonymous], 2014, 5 ASS REP
   [Anonymous], 2015, United Nations Climate Change Conference
   [Anonymous], 2003, TRAD REF FOOD SEC CO
   Brown M. E., 2015, CLIMATE CHANGE GLOBA, P146, DOI [10.7930/j0862dc7, DOI 10.7930/J0862DC7]
   Census of Agriculture, 2012, FLOR CENS
   Coleman-Jensen A., 2016, ERR215 USDA ERS
   Fraisse C., 2015, AE516 EDIS
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Kirtman B., 2016, CLIMATE CHANGE SPECI
   Kunkel KE, 2013, B AM METEOROL SOC, V94, P499, DOI 10.1175/BAMS-D-11-00262.1
   Misra Vasubandhu., 2011, CLIMATE SCENARIOS FL
   Mitchum GaryT., 2011, Sea level changes in the southeastern United States, past, present, and future
   National Climate Assessment [NCA], 2009, US GLOB CHANG RES PR
   National Oceanic and Atmospheric Administration [NOAA], 2015, DEP GLOB SURF TEMP A
   National Oceanic and Atmospheric Administration [NOAA], CLIM PROGR OFF WEBS
   NCA, 2014, NAT CLIM ASS
   RiskyBusiness. org, 2014, RISK BUS EC RISKS CL
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Walthall C. L., 2012, TECHNICAL B, V1935
   Weiskel T., 1989, ECOLOGIST, V19, P98
NR 23
TC 5
Z9 5
U1 3
U2 39
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY, W YORKSHIRE BD16 1WA, ENGLAND
SN 1574-8715
BN 978-1-78714-515-3; 978-1-78714-516-0
J9 FRONT ECON GLOBAL
PY 2017
VL 17
BP 85
EP 102
DI 10.1108/S1574-871520170000017007
D2 10.1108/S1574-8715201717
PG 18
WC Agricultural Economics & Policy; Development Studies; Green &
   Sustainable Science & Technology; Economics
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Agriculture; Development Studies; Science & Technology - Other Topics;
   Business & Economics
GA BM6DL
UT WOS:000466470900006
DA 2025-01-10
ER

PT J
AU Case, MJ
   Lawler, JJ
AF Case, Michael J.
   Lawler, Joshua J.
TI Relative vulnerability to climate change of trees in western North
   America
SO CLIMATIC CHANGE
LA English
DT Article
ID WASHINGTON-STATE; CONSERVATION; FOREST; DISTRIBUTIONS; KNOWLEDGE
AB Many recent changes in tree species distributions, mortality, and growth rates have been linked to changes in climate. Managing forests in the face of climate change will require a basic understanding of which tree species will be most vulnerable to climate change and in what ways they will be vulnerable. We assessed the relative vulnerability to climate change of 11 tree species in western North America using a multivariate approach to quantify elements of sensitivity to climate change, exposure to climate change, and the capacity to adapt to climate change. Our assessment was based on a combination of expert knowledge, published studies, and projected changes in climate. Of the 11 species, Garry oak (Quercus garryana) was determined to be the most vulnerable, largely because of its relatively high sensitivity. Garry oak occupies some of the driest low woodland and savanna sites from British Columbia to California and is highly dependent on disturbances, such as periodic, low intensity fire. Big leaf maple (Acer macrophyllum) was determined to be the least vulnerable, largely because of its adaptive capacity. Big leaf maple can reproduce quickly after disturbances and its seeds can disperse long distances potentially allowing it to move in response to a changing climate. Our analyses provide a framework for assessing vulnerability and for determining why some species will likely be more vulnerable than others. Such information will be critical as natural resource managers and conservation practitioners strive to address the impacts of climate change with limited funds.
C1 [Case, Michael J.; Lawler, Joshua J.] Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
C3 University of Washington; University of Washington Seattle
RP Case, MJ (corresponding author), Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
EM mcase@uw.edu
OI Case, Michael/0000-0003-4111-2298
FU US Geological Survey; US Park Service; US Department of the Interior
   Northwest Climate Science Center
FX This publication was partially supported by grants from US Geological
   Survey, the US Park Service, and the US Department of the Interior
   Northwest Climate Science Center. Thomas Hinckley, Don McKenzie, and
   three anonymous referees provided helpful comments on an early draft of
   the manuscript. We are grateful to the many experts and groups of
   experts who participated in our series of climate-change workshops,
   especially David Giblin, Warren Devine, Joe Rocchio, and Regina
   Rochefort. We are also grateful to Carole Guizzetti who assisted with
   figures.
CR [Anonymous], 2012, Genetic Resource Management and Climate Change: Genetic Options for Adapting National Forests to Climate Change
   [Anonymous], 2007, Climate Change 2007: The Physical Science Basis
   [Anonymous], 1997, RES JUDGMENT DECISIO
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 2011, GEN TECHNICAL REPORT
   [Anonymous], HDB ENV RISK DECISIO
   [Anonymous], 1995, Macroecology
   [Anonymous], 1650 USGS
   [Anonymous], 2011, SCANNING CONSERVATIO
   [Anonymous], GTRSRS44 USDA FOR SE
   Booth TH, 2015, FOREST ECOL MANAG, V347, P18, DOI 10.1016/j.foreco.2015.03.002
   Booth TH, 2013, FOREST ECOL MANAG, V301, P28, DOI 10.1016/j.foreco.2012.04.004
   Campbell LM, 2002, ECOL APPL, V12, P1229, DOI 10.2307/3061048
   Case MJ, 2015, BIOL CONSERV, V187, P127, DOI 10.1016/j.biocon.2015.04.013
   Coops NC, 2011, ECOL MODEL, V222, P2119, DOI 10.1016/j.ecolmodel.2011.03.033
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Devine W., 2012, CLIMATE CHANGE FORES
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Hutchinson M.F., 1989, A new objective method for spatial interpolation of meteorological variables from irregular networks applied to the estimation of monthly mean solar radiation, temperature, precipitation, and windrun
   LANDE R, 1988, SCIENCE, V241, P1455, DOI 10.1126/science.3420403
   Lawler JJ, 2011, FRONT ECOL ENVIRON, V9, P569, DOI 10.1890/100106
   Littell JS, 2010, CLIMATIC CHANGE, V102, P129, DOI 10.1007/s10584-010-9858-x
   Ludwig D, 2001, ANNU REV ECOL SYST, V32, P481, DOI 10.1146/annurev.ecolsys.32.081501.114116
   Marris E, 2009, NATURE, V459, P906, DOI 10.1038/459906a
   Martin TG, 2012, CONSERV BIOL, V26, P29, DOI 10.1111/j.1523-1739.2011.01806.x
   McKenzie D, 2003, J BIOGEOGR, V30, P1093, DOI 10.1046/j.1365-2699.2003.00921.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   PIANKA ER, 1970, ECOLOGY, V51, P703, DOI 10.2307/1934053
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Smith E.R., 2003, EPA600R03082
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Stephens SL, 2012, BIOSCIENCE, V62, P549, DOI 10.1525/bio.2012.62.6.6
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   U.S. Geological Survey, 1999, DIG REPR ATL US TREE
   Vieilledent G, 2013, BIOL CONSERV, V166, P11, DOI 10.1016/j.biocon.2013.06.007
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Westerling AL, 2011, P NATL ACAD SCI USA, V108, P13165, DOI 10.1073/pnas.1110199108
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
NR 44
TC 13
Z9 18
U1 1
U2 63
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAY
PY 2016
VL 136
IS 2
BP 367
EP 379
DI 10.1007/s10584-016-1608-2
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DL5NG
UT WOS:000375683200015
DA 2025-01-10
ER

PT J
AU Dienst, C
   Schneider, C
   Xia, C
   Saurat, M
   Fischer, T
   Vallentin, D
AF Dienst, Carmen
   Schneider, Clemens
   Xia, Chun
   Saurat, Mathieu
   Fischer, Thomas
   Vallentin, Daniel
TI On Track to Become a Low Carbon Future City? First Findings of the
   Integrated Status Quo and Trends Assessment of the Pilot City of Wuxi in
   China
SO SUSTAINABILITY
LA English
DT Article
DE Low Carbon Future Cities; low carbon city strategies; China; Wuxi; low
   carbon scenario; circular economy; adaptation; mitigation
AB The Low Carbon Future Cities (LCFC) project aims at facing a three dimensional challenge by developing an integrated city roadmap balancing: low carbon development, gains in resource efficiency and adaptation to climate change. The paper gives an overview of the first outcomes of the analysis of the status quo and assessment of the most likely developments regarding GHG emissions, climate impacts and resource use in Wuxi-the Chinese pilot city for the LCFC project. As a first step, a detailed emission inventory following the IPCC guidelines for Wuxi has been carried out. In a second step, the future development of energy demand and related CO2 emissions in 2050 were simulated in a current policy scenario (CPS). In parallel, selected aspects of material and water flows for the energy and the building sector were analyzed and modeled. In addition, recent and future climate impacts and vulnerability were investigated. Based on these findings, nine key sectors with high relevance to the three dimensions could be identified. Although Wuxi's government has started a path to implement a low carbon plan, the first results show that, for the shift towards a sustainable low carbon development, more ambitious steps need to be taken in order to overcome the challenges faced.
C1 [Dienst, Carmen; Schneider, Clemens; Xia, Chun; Saurat, Mathieu; Vallentin, Daniel] Wuppertal Inst Climate Environm & Energy, D-42109 Wuppertal, Germany.
   [Fischer, Thomas] CMA, NCC, Beijing 100081, Peoples R China.
C3 China Meteorological Administration
RP Dienst, C (corresponding author), Wuppertal Inst Climate Environm & Energy, Doeppersberg 19, D-42109 Wuppertal, Germany.
EM carmen.dienst@wupperinst.org; clemens.schneide@wupperinst.org;
   chun.xia@wupperinst.org; mathieu.saurat@wupperinst.org;
   tom.fischer8@gmx.de; daniel.vallentin@wupperinst.org
RI Fischer, Thomas/G-1906-2010
OI Fischer, Thomas/0000-0002-3067-8619; Vallentin,
   Daniel/0000-0001-7132-2822
FU LCFC project by Stiftung Mercator
FX We also would like to acknowledge the financial support of the LCFC
   project by Stiftung Mercator.
CR [Anonymous], 2003, ATMOSPHERIC GEN CIRC
   [Anonymous], 2011, CIT CLIM CHANG GLOB
   Collier MA, 2007, MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P582
   Dienst C., WP2 REPORT INTEGRATE, V20
   Environment Canada, GREENH GAS EM QUANT
   Gemmer M., 2012, CHANGES CLIMATE PARA
   (IPCC) International Panel on Climate Change, 2006, IPCC GUIDELINES NATL, V1
   Jiang K.J., 2008, ADV CLIM CHANG RES, V4, P296
   Marland G, 2012, NAT CLIM CHANGE, V2, P645, DOI 10.1038/nclimate1670
   Olivier J.G., 2012, TRENDS GLOBAL CO2 EM
   Reuters, CHIN EM STUD SUGG CL
   Ritthoff M., 2002, Calculating MIPS: Resource Productivity of Products and Services
   Schmidt-Bleek F., 1993, Fresenius Environmental Bulletin, V2, P407
   WMBS (Wuxi Municipal Bureau of Statistics, 2001, WUX YB 2001 WUX YB 2
   Wu K.C., ANAL FEATURES TREND
NR 15
TC 14
Z9 15
U1 0
U2 70
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2013
VL 5
IS 8
BP 3224
EP 3243
DI 10.3390/su5083224
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 213IR
UT WOS:000324050300001
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Osano, PM
   Said, MY
   de Leeuw, J
   Moiko, SS
   Kaelo, DO
   Schomers, S
   Birner, R
   Ogutu, JO
AF Osano, Philip M.
   Said, Mohammed Y.
   de Leeuw, Jan
   Moiko, Stephen S.
   Kaelo, Dickson Ole
   Schomers, Sarah
   Birner, Regina
   Ogutu, Joseph O.
TI Pastoralism and ecosystem-based adaptation in Kenyan Masailand
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Pastoralism; Conservancies; Ecosystem-based adaptation; Payments for
   ecosystem services; Maasai; Kenya; Ecosystems
ID CLIMATE-CHANGE; PAYMENTS; DROUGHT; IMPACT
AB Purpose The purpose of this paper is to assess the potential for pastoral communities inhabiting Kenyan Masailand to adapt to climate change using conservancies and payments for ecosystem services.
   Design/methodology/approach - Multiple methods and data sources were used, comprising: a socio-economic survey of 295 households; informal interviews with pastoralists, conservancy managers, and tourism investors; focus group discussions; a stakeholder workshop. Monthly rainfall data was used to analyse drought frequency and intensity. A framework of the interactions between pastoralists' drought coping and risk mitigation strategies and the conservancy effects was developed, and used to qualitatively assess some interactions across the three study sites. Changes in household livestock holdings and sources of cash income are calculated in relation to the 2008-09 drought.
   Findings - The frequency and intensity of droughts are increasing but are localised across the three study sites. The proportion of households with per capita livestock holdings below the 4.5 TLU poverty vulnerability threshold increased by 34 per cent in Kitengela and 5 per cent in the Mara site, mainly due to the drought in 2008-2009. Payment for ecosystem services was found to buffer households from fluctuating livestock income, but also generates synergies and/or trade-offs depending on land use restrictions.
   Originality/value - The contribution of conservancies to drought coping and risk mitigation strategies of pastoralists is analyzed as a basis for evaluating the potential for ecosystem-based adaptation.
C1 [Osano, Philip M.] McGill Univ, Dept Geog, Montreal, PQ H3A 2T5, Canada.
   [Said, Mohammed Y.] Int Livestock Res Inst, PLE, Nairobi, Kenya.
   [de Leeuw, Jan] World Agroforestry Ctr ICRAF, East Africa Subreg Off, Nairobi, Kenya.
   [Moiko, Stephen S.] McGill Univ, Dept Anthropol, Montreal, PQ H3A 2T5, Canada.
   [Kaelo, Dickson Ole] Univ Nairobi, Ctr Sustainable Dryland Ecosystems & Soc, Nairobi, Kenya.
   [Schomers, Sarah] Leibniz Ctr Agr Landscape Res ZALF, Muencheberg, Germany.
   [Birner, Regina] Univ Hohenheim, Stuttgart, Germany.
   [Ogutu, Joseph O.] Univ Hohenheim, Inst Crop Sci, Bioinformat Unit, Stuttgart, Germany.
C3 McGill University; CGIAR; International Livestock Research Institute
   (ILRI); CGIAR; World Agroforestry (ICRAF); McGill University; University
   of Nairobi; Leibniz Association; Leibniz Zentrum fur
   Agrarlandschaftsforschung (ZALF); University Hohenheim; University
   Hohenheim
RP Osano, PM (corresponding author), McGill Univ, Dept Geog, Montreal, PQ H3A 2T5, Canada.
EM philip.osano@mail.mcgill.ca
OI de Leeuw, Jan/0000-0001-7020-2503; Osano, Philip/0000-0002-6065-5151;
   Ogutu, Joseph O/0000-0002-7379-0387
CR [Anonymous], 2006, MAPPING CLIMATE VULN
   Birch I., 2007, 200745 UNDP HUM DEV
   Campbell DJ, 1999, HUM ECOL, V27, P377, DOI 10.1023/A:1018789623581
   Coast E, 2002, HUM ECOL, V30, P79, DOI 10.1023/A:1014567029853
   Ericksen P, 2013, PATHWAY SUSTAIN, P71
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Ferraro PJ, 2002, SCIENCE, V298, P1718, DOI 10.1126/science.1078104
   Fratkin E, 1997, ANNU REV ANTHROPOL, V26, P235, DOI 10.1146/annurev.anthro.26.1.235
   Galvin Kathleen A., 2004, African Journal of Range & Forage Science, V21, P183, DOI 10.2989/10220110409485850
   Homewood K, 2009, STUD HUM ECOL ADAPT, V5, P1, DOI 10.1007/978-0-387-87492-0
   Lybbert TJ, 2004, ECON J, V114, P750, DOI 10.1111/j.1468-0297.2004.00242.x
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Nassef Magda., 2009, Pastoralism and Climate Change: Enabling Adaptive Capacity
   Niamir-Fuller M, 1999, PROPERTY RIGHTS, RISK, AND LIVESTOCK DEVELOPMENT IN AFRICA, P102
   Nkedianye D, 2011, PASTORALISM, V1, DOI 10.1186/2041-7136-1-17
   Nori M., 2007, CHANGE WIND WIND CHA
   Ogutu JO, 2008, AFR J ECOL, V46, P132, DOI 10.1111/j.1365-2028.2007.00821.x
   Osano P., 2011, Life at the crossroads: How climate change threatens the existence of the Maasai
   Osano P., 2013, AFRICA RISING CONTIN
   Republic of Kenya, 2011, WILDLIFE BILL
   SCBD, 2009, TECHN SER SECR CONV, V41
   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
   van de Sand I, 2012, ECOL SOC, V17, DOI 10.5751/ES-04561-170111
   Wertz-Kanounnikoff S, 2011, CLIM DEV, V3, P143, DOI 10.1080/17565529.2011.582277
   Western D., 2010, WORST DROUGHT TIPPIN
   Western D., 2003, AFRICA ENV OUTLOOK P
   Wunder S, 2007, CONSERV BIOL, V21, P48, DOI 10.1111/j.1523-1739.2006.00559.x
NR 29
TC 18
Z9 21
U1 0
U2 79
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 2013
VL 5
IS 2
SI SI
BP 198
EP 214
DI 10.1108/17568691311327596
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 151UM
UT WOS:000319485700006
OA Green Submitted
DA 2025-01-10
ER

PT C
AU Sappa, G
   Ferranti, F
   Luciani, G
AF Sappa, G.
   Ferranti, F.
   Luciani, G.
BE Zheng, D
TI Effects of Precipitations on Groundwater Salinization in Dar Es Salaam
   Coastal Plain (Tanzania)
SO INTERNATIONAL CONFERENCE ON FRONTIERS OF ENVIRONMENT, ENERGY AND
   BIOSCIENCE (ICFEEB 2013)
LA English
DT Proceedings Paper
CT International Conference on Frontiers of Environment, Energy and
   Bioscience (ICFEEB)
CY OCT 24-25, 2013
CL Beijing, PEOPLES R CHINA
AB This paper deals with part of the first results of three years investigation activities, carried on in the Dar Es Salaam coastal plain (Tanzania) by the ACC-DAR project, a cofoundend research project, granted by the European Union, leaded by the Sapienza, University of Rome, in cooperation with Ardhi University of Dar Es Salaam, Here they are presented the effects of precipitations of groundwater salinization. As a matter of fact, in the last fifteen years the Dar Es Salaam coastal plan has been involved in a hard increasing of groundwater exploitation, due to population growing up, and, as a consequence of it, it has been registered a sensitive increasing in seawater intrusion, partly due also to climate change effect. The project, mentioned above, faced many aspects related to the adaptation to climate change by Dar Es Salaam people. In the framework of the project they were carried on 5 groundwater monitoring campaigns, involving about 80 boreholes spread all over Dar Es Salaam municipality. In the following they are presented the results of the elaboration of chemical analysis data, coming from two different monitoring campaigns, driven in June 2012 and in November 2012. The interpretation of these elaborations, carried on by the application of Stuyfzand classification method (6), let us to evidence that seawater intrusion on groundwater quality is affected by the precipitation rate of the area, which is strictly related to climatic conditions and their modifications
C1 [Sappa, G.] Univ Roma La Sapienza, DICEA Dept Civil Bldg & Environm Engn, Piazzale Aldo Moro 5, I-00185 Rome, Italy.
C3 Sapienza University Rome
RP Sappa, G (corresponding author), Univ Roma La Sapienza, DICEA Dept Civil Bldg & Environm Engn, Piazzale Aldo Moro 5, I-00185 Rome, Italy.
CR [Anonymous], THESIS
   [Anonymous], THESIS
   [Anonymous], 1989, IAHS PUBL
   Sappa G., 2013, J APPL WATE IN PRESS
   Sappa G., 2013, IAH INT ASS IN PRESS
   Stuyfzand P. J., 1992, P 12 SALTW INTR M BA
   Van Camp M., 2012, HYDROGEOLOGY J, V21
NR 7
TC 0
Z9 0
U1 0
U2 0
PU DESTECH PUBLICATIONS, INC
PI LANCASTER
PA 439 DUKE STREET, LANCASTER, PA 17602-4967 USA
BN 978-1-60595-133-1
PY 2013
BP 149
EP 155
PG 7
WC Energy & Fuels; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Energy & Fuels; Environmental Sciences & Ecology
GA BA7LT
UT WOS:000337630200024
DA 2025-01-10
ER

PT J
AU Khan, S
AF Khan, Shabana
TI Vulnerability assessments and their planning implications: a case study
   of the Hutt Valley, New Zealand
SO NATURAL HAZARDS
LA English
DT Article
DE Hazards; Vulnerability; Assessment methods; Planning implications;
   Vulnerability reduction; Response; Adaptation
ID SOCIAL VULNERABILITY; ADAPTIVE CAPACITY; CLIMATE-CHANGE; ADAPTATION;
   INDICATORS; LEVEL
AB An understanding of vulnerability is not only crucial for the survival of the exposed communities to extreme events, but also for their adaptation to climate change. Vulnerability affects community participation in hazard mitigation, influences emergency response and governs adaptive capacity for the changing environmental and hazards characteristics. However, despite increased awareness, assessments and understanding of the processes that produce vulnerability, disaster risks prevail. This raises questions on the effectiveness of vulnerability assessments and their applications for hazard mitigation and adaptation. The literature includes a range of vulnerability assessment methods, wherein frequently the selection of any particular method is governed by the research objectives. On the other hand, hazard mitigation plans and policies even though mention vulnerability, their implementation pays less attention to the variations in its nature and underlying causes. This paper explores possible reasons for such gaps by exploring a case study of the Hutt Valley, New Zealand. It brings out the limitations of different vulnerability assessment methods in representing the local vulnerability and challenges they bring in planning for the vulnerability reduction. It argues that vulnerability assessment based on any particular method, such as deprivation index, principle component analysis, composite vulnerability index with or without weight, may not reveal the actual vulnerability of a place, and therefore, a comprehensive vulnerability assessment is needed.
C1 [Khan, Shabana] Victoria Univ Wellington, Wellington, New Zealand.
C3 Victoria University Wellington
RP Khan, S (corresponding author), Univ Delhi, Delhi Sch Econ, Dept Geog, New Delhi, India.
EM Shabana.Khan@hotmail.co.nz
RI Khan, Shabana/ABZ-0817-2022
OI Khan, Shabana/0000-0002-4863-6417
FU New Zealand Foundation for Research, Science and Technology [VICX0805];
   New Zealand Ministry of Business, Innovation & Employment (MBIE)
   [VICX0805] Funding Source: New Zealand Ministry of Business, Innovation
   & Employment (MBIE)
FX This research was in part funded by the New Zealand Foundation for
   Research, Science and Technology under contract VICX0805 "Community
   Vulnerability and Resilience". It is based on work for the PhD thesis by
   Shabana Khan through the School of Geography, Environment and Earth
   Sciences, Victoria University of Wellington. The author thanks Dr Andy
   Reisinger and Judy Lawrence from the NZ Climate Change Research
   Institute, Victoria University of Wellington for their helpful comments
   on the initial drafts of this paper. The author is also grateful to the
   two anonymous reviewers for their detailed comments and suggestions.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2003, SOCIAL POLICY J NZ
   [Anonymous], 2009, Assessing vulnerability to global environmental change: making research useful for adaptation decision making and policy
   [Anonymous], 2002, NZDep2001 Index of Deprivation
   [Anonymous], 2010, TOOLS EST EFF CLIM C
   [Anonymous], 2004, Quantifying social vulnerability: a methodology for identifying those at risk to natural hazards
   [Anonymous], MAPPING CLIMATE CHAN
   [Anonymous], 2007, C PART ITS 13 SESS H
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Briguglio L, 2008, MEASURING VULNERABIL
   Briguglio Lino., 2003, VULNERABILITY INDEX
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brooks N., 2003, VULNERABILITY RISK A
   Buckle P., 2000, AUST J EMERG MANAG, V15, P8
   Butler H, 2010, WELLINGTONIAN   1021, P1
   Cardona O.D., 2005, Indicators of disaster risk and risk management: Summary Report
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   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]
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   [DEFRA EA], 2005, APPR HUM REL INT IMP
   Easther J, 1991, HUTT RIVER TE AWA KA
   Enarson E, 2000, AUST J EMERG MANAG, V15, P43
   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]
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Fothergill A, 1999, DISASTERS, V23, P156, DOI 10.1111/1467-7717.00111
   Grant H, 2005, NATURAL HAZARDS BACK
   Guillaumont P, 2003, EC VULNERABILITY RES
   GWRC, 2006, DIG DAT WELL REG COU
   GWRC, 1998, OT FLOODPL MAN PLAN
   GWRC, 2001, WRCFPSAG0132 GWRC, P256
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Housing New Zealand, 2011, HIST STAT HOUS HOUS
   Hufschmidt G., 2008, The evolution of risk from landslides: Concepts and applications for communities in New Zealand
   Kapoor A, 2006, THESIS U DELHI DELHI
   KAPUR A, 2010, VULNERABLE INDIA GEO
   Khan S, 2005, DROUGHT BARAN DISTRI
   Khan S, 2010, GEOGRAPHICAL ASSESSM
   Kleinosky LR, 2007, NAT HAZARDS, V40, P43, DOI 10.1007/s11069-006-0004-z
   Lawrence J, 2011, PERSPECTIVES FLOOD R
   Lawrence J, 2011, VULNERABILITY ADAPTA
   Maaskant B, 2009, ENVIRON SCI POLICY, V12, P157, DOI 10.1016/j.envsci.2008.11.004
   McConchie JA, 2000, DYNAMIC WELLINGTON
   McEntire DA., 2000, Aust J Emerg Manag, V15, P58
   McGill D, 1991, LOWER HUTT 1 GARDEN
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Moser SC, 2010, APPL GEOGR, V30, P464, DOI 10.1016/j.apgeog.2009.09.003
   Moss R., 2001, Vulnerability to climate change: a quantitative approach
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Pachauri R. K., 2007, CLIMATE CHANGE 2007, P104, DOI DOI 10.1017/CBO9780511546013
   Paton D, 2006, PLANN Q          MAR, P6
   Ramsay D., 2008, ME892 MFE, P139
   Ribot JesseC., 1995, GEOJOURNAL, V35, P119, DOI DOI 10.1007/BF00814058
   Rodriguez H.A., 2006, HDB DISASTER RES
   Rygel L., 2006, MITIG ADAPT STRAT GL, V11, P741, DOI [10.1007/s11027-006-0265-6, DOI 10.1007/S11027-006-0265-6]
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI DOI 10.1016/S1464-2867(01)00021-3
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Zahran S, 2008, DISASTERS, V32, P537, DOI 10.1111/j.1467-7717.2008.01054.x
NR 70
TC 74
Z9 79
U1 0
U2 52
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 2012
VL 64
IS 2
BP 1587
EP 1607
DI 10.1007/s11069-012-0327-x
PG 21
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 014EK
UT WOS:000309357700034
DA 2025-01-10
ER

PT J
AU Hoar, BM
   Eberhardt, AG
   Kutz, SJ
AF Hoar, Bryanne M.
   Eberhardt, Alexander G.
   Kutz, Susan J.
TI Obligate larval inhibition of <i>Ostertagia gruehneri</i> in <i>Rangifer
   tarandus</i>? Causes and consequences in an Arctic system
SO PARASITOLOGY
LA English
DT Article
DE Ostertagia gruehneri; larval inhibition; parasite; Rangifer tarandus;
   Arctic
ID GASTROINTESTINAL NEMATODES; ARRESTED DEVELOPMENT; ABOMASAL NEMATODES;
   POPULATION-DYNAMICS; FOOD-INTAKE; HAEMONCHUS-CONTORTUS; EGG-PRODUCTION;
   REINDEER; PARASITES; TRICHOSTRONGYLIDS
AB Larval inhibition is a common strategy of Trichostrongylidae nematodes that may increase survival of larvae during unfavourable periods and concentrate egg production when conditions are favourable for development and transmission. We investigated the propensity for larval inhibition in a population of Ostertagia gruehneri, the most common gastrointestinal Trichostrongylidae nematode of Rangifer tarandus. Initial experimental infections of 4 reindeer with O. gruehneri sourced from the Bathurst caribou herd in Arctic Canada suggested that the propensity for larval inhibition was 100%. In the summer of 2009 we infected 12 additional reindeer with the F-1 and F-2 generations of O. gruehneri sourced from the previously infected reindeer to further investigate the propensity of larval inhibition. The reindeer were divided into 2 groups and half were infected before the summer solstice (17 June) and half were infected after the solstice (16 July). Reindeer did not shed eggs until March 2010, i.e. 8 and 9 months post-infection. These results suggest obligate larval inhibition for at least 1 population of O. gruehneri, a phenomenon that has not been conclusively shown for any other trichostrongylid species. Obligate inhibition is likely to be an adaptation to both the Arctic environment and to a migratory host and may influence the ability of O. gruehneri to adapt to climate change.
C1 [Hoar, Bryanne M.] Univ Calgary, Dept Biol Sci, Calgary, AB T2N 1N4, Canada.
   [Hoar, Bryanne M.; Eberhardt, Alexander G.; Kutz, Susan J.] Univ Calgary, Fac Vet Med, Calgary, AB, Canada.
   [Eberhardt, Alexander G.] Landeskriminalamt Baden Wurttemberg, Kriminaltech Inst, Wurttemberg, Germany.
C3 University of Calgary; University of Calgary
RP Hoar, BM (corresponding author), 3350 Hosp Dr NW, Calgary, AB T2N 4N1, Canada.
EM bmhoar@ucalgary.ca
OI kutz, susan/0000-0003-2352-8687
FU Alberta Innovates [200800734]; NSERC [312178-2007]; International Polar
   Year Canada
FX This work was financially supported by Alberta Innovates (B. H.,
   200800734), NSERC (S. K., 312178-2007), and International Polar Year
   Canada.
CR Almeria S, 1996, VET PARASITOL, V67, P225, DOI 10.1016/S0304-4017(96)01037-0
   ARMOUR J, 1987, PARASITOL TODAY, V3, P171, DOI 10.1016/0169-4758(87)90173-6
   Arneberg P, 1996, PARASITOLOGY, V112, P213, DOI 10.1017/S003118200008478X
   Arneberg P, 1999, J PARASITOL, V85, P367, DOI 10.2307/3285648
   BELEM AMG, 1993, J WILDLIFE DIS, V29, P261, DOI 10.7589/0090-3558-29.2.261
   BORGSTEEDE FHM, 1987, VET PARASITOL, V24, P93, DOI 10.1016/0304-4017(87)90134-8
   BYE K, 1983, J WILDLIFE DIS, V19, P101, DOI 10.7589/0090-3558-19.2.101
   CAPITINI LA, 1990, VET PARASITOL, V35, P281, DOI 10.1016/0304-4017(90)90134-W
   Cattadori IM, 2005, P ROY SOC B-BIOL SCI, V272, P1163, DOI 10.1098/rspb.2004.3050
   CHIEJINA SN, 1988, VET PARASITOL, V28, P103, DOI 10.1016/0304-4017(88)90022-2
   CONNAN RM, 1971, RES VET SCI, V12, P272
   Dallas JF, 2000, INT J PARASITOL, V30, P863, DOI 10.1016/S0020-7519(00)00063-1
   Dallas JF, 2000, INT J PARASITOL, V30, P655, DOI 10.1016/S0020-7519(00)00028-X
   De Bruyn N. P., 2010, THESIS
   Delahay RJ, 1996, CONDOR, V98, P501, DOI 10.2307/1369564
   DOBSON A, 1994, PARASITOLOGY, V109, pS97, DOI 10.1017/S0031182000085115
   Eberhardt AG, 2007, INT J PARASITOL, V37, P989, DOI 10.1016/j.ijpara.2007.01.010
   EGWANG TG, 1982, CAN J COMP MED, V46, P133
   EYSKER M, 1993, VET PARASITOL, V46, P259, DOI 10.1016/0304-4017(93)90063-S
   Eysker M, 1997, VET PARASITOL, V72, P265, DOI 10.1016/S0304-4017(97)00101-5
   Fenton A, 2002, OIKOS, V96, P92, DOI 10.1034/j.1600-0706.2002.960110.x
   GIANGASPERO M, 1992, PARASITOL RES, V78, P594, DOI 10.1007/BF00936458
   Hoar Bryanne, 2009, Rangifer, V29, P25
   Hrabok JT, 2006, VET PARASITOL, V142, P301, DOI 10.1016/j.vetpar.2006.07.024
   Hrabok Jackie T., 2007, Rangifer, V27, P133
   Hrabok JT, 2006, VET PARASITOL, V136, P297, DOI 10.1016/j.vetpar.2005.11.020
   HUBERT J, 1984, CAN J COMP MED, V48, P63
   Hudson PJ, 2006, J HELMINTHOL, V80, P175, DOI 10.1079/JOH2006357
   Irvine RJ, 2000, PARASITOLOGY, V120, P297, DOI 10.1017/S0031182099005430
   Kutz SJ, 2012, ADV PARASIT, V79, P99, DOI 10.1016/B978-0-12-398457-9.00002-0
   LEADERWILLIAMS N, 1980, VET REC, V107, P393, DOI 10.1136/vr.107.17.393
   MILLER HRP, 1984, VET IMMUNOL IMMUNOP, V6, P167, DOI 10.1016/0165-2427(84)90051-5
   O'Connor LJ, 2006, VET PARASITOL, V142, P1, DOI 10.1016/j.vetpar.2006.08.035
   OGUNSUSI RA, 1979, RES VET SCI, V26, P108
   SHAW JL, 1988, RES VET SCI, V45, P256, DOI 10.1016/S0034-5288(18)30943-3
   Sim KA, 2010, J VET DIAGN INVEST, V22, P433, DOI 10.1177/104063871002200316
   Sommerville RI, 2002, CAN J ZOOL, V80, P1817, DOI [10.1139/z02-163, 10.1139/Z02-163]
   Stien A, 2002, J ANIM ECOL, V71, P937, DOI 10.1046/j.1365-2656.2002.00659.x
   Stromberg BE, 1997, VET PARASITOL, V72, P247, DOI 10.1016/S0304-4017(97)00100-3
   Waller PJ, 2004, VET PARASITOL, V122, P207, DOI 10.1016/j.vetpar.2004.04.007
   WALLER PJ, 1975, PARASITOLOGY, V71, P285, DOI 10.1017/S0031182000046722
NR 41
TC 17
Z9 20
U1 0
U2 33
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0031-1820
EI 1469-8161
J9 PARASITOLOGY
JI Parasitology
PD SEP
PY 2012
VL 139
IS 10
BP 1339
EP 1345
DI 10.1017/S0031182012000601
PG 7
WC Parasitology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Parasitology
GA 004CN
UT WOS:000308657800011
PM 22953998
DA 2025-01-10
ER

PT J
AU Munro, A
AF Munro, Alistair
TI Using experimental manipulation of questionnaire design and a Kenyan
   panel to test for the reliability of reported perceptions of climate
   change and adaptation
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change adaptation; Framing effects; Recall bias; Kenya
ID FARMER PERCEPTIONS; RAINFALL; PRODUCTIVITY; AGRICULTURE; VARIABILITY;
   STRATEGIES; MIGRATION; RISK
AB While the use of surveys to understand perception of climate change and adaptation is common in research on agriculture, the reliability of some aspects of the methodology is largely untested. In particular, there is limited evidence on (i) the degree to which measures of perception are sensitive to questionnaire design, (ii) the accuracy of recall methods for climate change, and (iii) the degree to which measures of adaptation based on recall from one-time surveys match the historical record. Using an established panel of farmers from across Kenya and a split sample method, I test both the sensitivity of stated perceptions of climate change to question format and the accuracy of recalled adaptations. In one treatment, farmers face open-ended questions about temperature and rainfall changes while in the other treatment, farmers are offered closed-end questions. Both approaches are common in the voluminous literature on climate change adaptation. Responses are highly sensitive to question format, both in the degree of perceived change and in the types of changes. Stated adaptations are not so sensitive to question format, but still diverge. Stated adaptations do not correspond well to the historical record of farming practices over the 15 years of the panel. Overall, the evidence suggests that researchers and policy-makers should be highly cautious in their use of subjective perceptions of climate change and the use of adaptation measures based on recall data.
C1 [Munro, Alistair] Natl Grad Inst Policy Studies GRIPS, Minato Ku, Roppongi 7-22-1, Tokyo 1068677, Japan.
C3 National Graduate Institute for Policy Studies
RP Munro, A (corresponding author), Natl Grad Inst Policy Studies GRIPS, Minato Ku, Roppongi 7-22-1, Tokyo 1068677, Japan.
EM alistair-munro@grips.ac.jp
RI Munro, Alistair/A-3714-2009
OI Munro, Alistair/0000-0003-3918-8701
FU National Graduate Institute for Policy Studies; JSPS Kakenhi [25101002];
   Grants-in-Aid for Scientific Research [25101002] Funding Source: KAKEN
FX Thanks are due to Yoko Kijima, Tomoya Matsumoto, Chikako Yamauchi, and
   the REPEAT survey team led by Bbosa Davis for data collection and
   assistance on task design. Thu Trang Vu provided capable research
   assistance. I gratefully acknowledge the useful feedback from EAERE
   conference attendees and funding from the National Graduate Institute
   for Policy Studies for piloting work and from JSPS Kakenhi Grant Number
   25101002 for the main field work.
CR [Anonymous], 2009, INT FOOD POLICY RES
   [Anonymous], 2005, PREVENTING CHRONIC D
   Assaad R., 2018, IZA J DEV MIGRATION, V8, P1, DOI [10.1186/s40176-018-0125-7, DOI 10.1186/S40176-018-0125-7]
   Battaglini A, 2009, REG ENVIRON CHANGE, V9, P61, DOI 10.1007/s10113-008-0053-9
   Beegle K, 2012, J DEV ECON, V98, P34, DOI 10.1016/j.jdeveco.2011.09.005
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Budhalakoti N., 2019, CURRENT J APPL SCI T, P1
   Conley TG, 2010, AM ECON REV, V100, P35, DOI 10.1257/aer.100.1.35
   Deininger K, 2012, J DEV ECON, V98, P42, DOI 10.1016/j.jdeveco.2011.05.007
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Desiere S, 2018, J DEV ECON, V130, P84, DOI 10.1016/j.jdeveco.2017.10.002
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   de Jalón SG, 2015, REG ENVIRON CHANGE, V15, P851, DOI 10.1007/s10113-014-0676-y
   GEER JG, 1991, PUBLIC OPIN QUART, V55, P360, DOI 10.1086/269268
   Gray CL, 2011, GLOBAL ENVIRON CHANG, V21, P421, DOI 10.1016/j.gloenvcha.2011.02.004
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Habtemariam LT, 2016, ENVIRON MANAGE, V58, P343, DOI 10.1007/s00267-016-0708-0
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hosmer DW, 1997, STAT MED, V16, P965
   Kahneman D, 2003, AM PSYCHOL, V58, P697, DOI 10.1037/0003-066X.58.9.697
   Kaplowitz MD, 2001, ECOL ECON, V36, P237, DOI 10.1016/S0921-8009(00)00226-3
   Krosnick JA, 1999, ANNU REV PSYCHOL, V50, P537, DOI 10.1146/annurev.psych.50.1.537
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Li XL, 2014, RANGELAND J, V36, P557, DOI 10.1071/RJ14048
   Lobell D.B., 2018, Eyes in the sky, boots on the ground: assessing satellite-and ground-based approaches to crop yield measurement and analysis in Uganda
   Maddison D, 2007, PERCEPTION ADAPTATIO, V4308
   Marlon JR, 2019, J RISK RES, V22, P936, DOI 10.1080/13669877.2018.1430051
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Munro A, 2020, CLIMATIC CHANGE, V162, P1081, DOI 10.1007/s10584-020-02709-2
   Muto M, 2009, WORLD DEV, V37, P1887, DOI 10.1016/j.worlddev.2009.05.004
   Mwesigye F, 2016, WORLD DEV, V79, P25, DOI 10.1016/j.worlddev.2015.10.042
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Rao KPC, 2011, EXP AGR, V47, P267, DOI 10.1017/S0014479710000918
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Salerno J, 2019, CLIMATIC CHANGE, V153, P123, DOI 10.1007/s10584-019-02370-4
   Schuman Howard, 1996, QUESTIONS ANSWERS AT
   Schwarz N, 1999, AM PSYCHOL, V54, P93, DOI 10.1037/0003-066X.54.2.93
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Singh NP, 2018, NAT HAZARDS, V92, P1287, DOI 10.1007/s11069-018-3250-y
   Tanaka Y, 2014, J AFR ECON, V23, P151, DOI 10.1093/jae/ejt020
   Waha K, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.20
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Yamano T, 2004, 2003 REPEAT SURVEY U
   Yamauchi C, 2019, EC DEV CULTURAL CHAN
   Zampaligré N, 2014, REG ENVIRON CHANGE, V14, P769, DOI 10.1007/s10113-013-0532-5
   Zaval L, 2014, NAT CLIM CHANGE, V4, P143, DOI 10.1038/NCLIMATE2093
NR 49
TC 4
Z9 4
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 OCT
PY 2020
VL 162
IS 3
BP 1081
EP 1105
DI 10.1007/s10584-020-02709-2
EA APR 2020
PG 25
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 OF2RW
UT WOS:000558440600001
DA 2025-01-10
ER

PT J
AU Zischg, A
   Schober, S
   Sereinig, N
   Rauter, M
   Seymann, C
   Goldschmidt, F
   Bäk, R
   Schleicher, E
AF Zischg, A.
   Schober, S.
   Sereinig, N.
   Rauter, M.
   Seymann, C.
   Goldschmidt, F.
   Baek, R.
   Schleicher, E.
TI Monitoring the temporal development of natural hazard risks as a basis
   indicator for climate change adaptation
SO NATURAL HAZARDS
LA English
DT Article
DE Integral natural hazards and risk management; Climate change adaptation;
   Risk analysis
ID AVALANCHE RISK; DEBRIS FLOWS; VARIABILITY
AB The potential effects of climatic changes on natural risks are widely discussed. But the formulation of strategies for adapting risk management practice to climate changes requires knowledge of the related risks for people and economic values. The main goals of this work were (1) the development of a method for analysing and comparing risks induced by different natural hazard types, (2) highlighting the most relevant natural hazard processes and related damages, (3) the development of an information system for the monitoring of the temporal development of natural hazard risk and (4) the visualisation of the resulting information for the wider public. A comparative exposure analysis provides the basis for pointing out the hot spots of natural hazard risks in the province of Carinthia, Austria. An analysis of flood risks in all municipalities provides the basis for setting the priorities in the planning of flood protection measures. The methods form the basis for a monitoring system that periodically observes the temporal development of natural hazard risks. This makes it possible firstly to identify situations in which natural hazard risks are rising and secondly to differentiate between the most relevant factors responsible for the increasing risks. The factors that most influence the natural risks could be made evident and eventual climate signals could be pointed out. Only with this information can the discussion about potential increases in natural risks due to climate change be separated from other influencing factors and be made at an objective level.
C1 [Zischg, A.] Abenis AG, Chur, Switzerland.
   [Schober, S.; Sereinig, N.] Prov Govt Carinthia, Dept Water Resources Management, Klagenfurt, Austria.
   [Rauter, M.] Carinthia Univ Appl Sci, Sch Geoinformat, Klagenfurt, Austria.
   [Seymann, C.] Torrent & Avalanche Control Serv, Klagenfurt, Austria.
   [Goldschmidt, F.; Baek, R.] Prov Govt Carinthia, Dept Geol & Soil Protect, Klagenfurt, Austria.
   [Schleicher, E.] Prov Govt Carinthia, Dept Land Use Planning, Klagenfurt, Austria.
C3 Carinthia University of Applied Sciences
RP Zischg, A (corresponding author), Abenis AG, Chur, Switzerland.
EM a.zischg@abenis.ch
RI Zischg, Andreas Paul/G-3382-2014
OI Zischg, Andreas Paul/0000-0002-4749-7670
FU project "AdaptAlp-Adaptation to Climate Change in the Alps"; European
   Regional Development Fund (ERDF)
FX The work this article describes was partially financed by the project
   "AdaptAlp-Adaptation to Climate Change in the Alps". The AdaptAlp
   project is part of the European Territorial Cooperation and co-funded by
   the European Regional Development Fund (ERDF) in the scope of the Alpine
   Space Programme www.alpine-space.eu.
CR BMLFUW, 2011, WILDB RICHTL GEF BMF
   BMLFUW, 2006, RICHTL WIRTSCH PRIOR
   BMLFUW, 2008, KOST NUTZ SCHUTZW
   BMLFUW, 2006, RICHTL GEF BUND
   Caspary H.J., 2004, Klimaveranderung und Konsequenzen fur die Wasserwirtschaft-Fachvortrage beim KLIWA-Symposium am 3. und 4.5.2004 in, P135
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   Fuchs S, 2007, NAT HAZARD EARTH SYS, V7, P495, DOI 10.5194/nhess-7-495-2007
   Fuchs S, 2005, NAT HAZARD EARTH SYS, V5, P893, DOI 10.5194/nhess-5-893-2005
   Fuchs S, 2009, NAT HAZARD EARTH SYS, V9, P337, DOI 10.5194/nhess-9-337-2009
   Jomelli V, 2007, CLIMATIC CHANGE, V85, P119, DOI 10.1007/s10584-006-9209-0
   Jomelli V, 2004, CLIMATIC CHANGE, V64, P77, DOI 10.1023/B:CLIM.0000024700.35154.44
   Keiler M, 2006, NAT HAZARD EARTH SYS, V6, P637, DOI 10.5194/nhess-6-637-2006
   Keiler M, 2005, NAT HAZARD EARTH SYS, V5, P49, DOI 10.5194/nhess-5-49-2005
   Keiler M, 2004, NAT HAZARD EARTH SYS, V4, P249, DOI 10.5194/nhess-4-249-2004
   Keiler M, 2010, PHILOS T R SOC A, V368, P2461, DOI 10.1098/rsta.2010.0047
   PLANALP, 2010, INT NAT HAZ RISK MAN
   Staffler H, 2008, NAT HAZARD EARTH SYS, V8, P539, DOI 10.5194/nhess-8-539-2008
   Zischg A, 2011, RISK MANAGEMENT RISK
   Zischg Andreas Paul, 2010, Advances in Risk Management, P255
NR 19
TC 21
Z9 21
U1 3
U2 56
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 JUL
PY 2013
VL 67
IS 3
BP 1045
EP 1058
DI 10.1007/s11069-011-9927-0
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 168AB
UT WOS:000320675700006
DA 2025-01-10
ER

PT J
AU Campbell, D
   Lester, S
AF Campbell, Donovan
   Lester, Shaneica
TI Building Resilience in Jamaica's Farming Communities: <i>Insights From a
   Climate-Smart Intervention</i>
SO CASE STUDIES IN THE ENVIRONMENT
LA English
DT Article
DE agriculture; Jamaica; resilience; climate change adaptation
ID DROUGHT
AB Rural farmers, especially those with limited resources, are on the frontline of the climate crisis. In the Caribbean, vulnerability of agri-food systems to climatic disturbances is recognized, but empirical evidence detailing effective adaptation strategies remains patchy. In Jamaica, a combination of challenges-ranging from diminishing availability of arable land and stagnant agricultural innovation to the marginalization of small-scale farming and recurrent climatic shocks-h as led to significant agricultural setbacks and socioeconomic distress for local farmers. This case study is based on a synthesis of quantitative and qualitative data derived from a climate adaptation initiative in Peckham, Clarendon, a pivotal agricultural hub in Jamaica. The data acquisition methodologies encompassed livelihood baseline assessments, community engagement surveys, training workshops, and focus group discussions. Synthesis of data from 31 agricultural training sessions and 16 climate-smart agriculture workshops, involving 458 farmers, offers cogent evidence of the initiative's tangible impacts on the Peckham farming community. The initiative was guided by two core objectives: (1) enhancing food security and rural livelihoods through the implementation of a renewable energy-powered aquaponics framework, and (2) improving land and water resource management practices. To achieve these goals, the Farmer-Field School approach was employed to promote climate-smart agricultural practices and strengthen the institutional capabilities of farming groups. The insights from the assessment underscore the potential of integrated climate-resilient agricultural practices in addressing both economic and environmental challenges faced by rural farmers.
C1 [Campbell, Donovan; Lester, Shaneica] Univ West Indies, Dept Geog & Geol, Kingston, Jamaica.
C3 University West Indies Mona Jamaica
RP Campbell, D (corresponding author), Univ West Indies, Dept Geog & Geol, Kingston, Jamaica.
EM donovan.campbell@uwimona.edu.jm
CR [Anonymous], 2019, Study on the state of agriculture in the Caribbean
   Beckford C, 2007, SINGAPORE J TROP GEO, V28, P273, DOI 10.1111/j.1467-9493.2007.00301.x
   Buckland S, 2022, SINGAPORE J TROP GEO, V43, P43, DOI 10.1111/sjtg.12414
   Campbell D, 2011, APPL GEOGR, V31, P146, DOI 10.1016/j.apgeog.2010.03.007
   Climate Studies Group Mona, 2022, STAT JAM CLIM
   Eitzinger A., 2022, CIAT Publication, V525, P76
   Environmental Health Foundation, 2018, Building resilience and adaptation to climate change while reducing disaster risk in Peckham, Clarendon and surrounding communities
   Ewing-Chow D, 2020, Five overlooked facts about Caribbean food security
   Gamble DW, 2018, CLIM RES, V74, P109, DOI 10.3354/cr01490
   Gamble DW, 2010, ANN ASSOC AM GEOGR, V100, P880, DOI 10.1080/00045608.2010.497122
   Herrera D, 2017, J CLIMATE, V30, P7801, DOI 10.1175/JCLI-D-16-0838.1
   Inter-American Institute for Cooperation on Agriculture, 2017, Assessment of the vulnerability of Jamaica's agricultural sector to the adverse consequences of severe weather events
   Planning Institute of Jamaica and the Statistical Institute of Jamaica, 2019, Mapping poverty indicators, consumption based poverty in Jamaica
   Selvaraju R., 2013, Climate change and agriculture in Jamaica: Agricultural sector support analysis, P14
   Taylor MA, 2018, J CLIMATE, V31, P2907, DOI [10.1175/JCLI-D-17-0074.1, 10.1175/jcli-d-17-0074.1]
   The Planning Institute of Jamaica, 2018, Economic and social survey of Jamaica
   The World Bank Group, 2022, Jamaica: Boosting recovery and sustainable economic growth systematic country diagnostic
NR 17
TC 0
Z9 0
U1 5
U2 6
PU UNIV CALIFORNIA PRESS
PI OAKLAND
PA 155 GRAND AVE, SUITE 400, OAKLAND, CA 94612-3758 USA
SN 2473-9510
J9 CASE STUD ENVIRON
JI Case Stud. Environ.
PY 2023
VL 7
IS 1
AR 1233811
DI 10.1525/cse.2023.1233811
PG 9
WC Education & Educational Research; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Education & Educational Research; Environmental Sciences & Ecology
GA X8WP3
UT WOS:001101192300001
DA 2025-01-10
ER

PT J
AU Yuen, E
   Jovicich, SS
   Preston, BL
AF Yuen, Emma
   Jovicich, Samantha Stone
   Preston, Benjamin L.
TI Climate change vulnerability assessments as catalysts for social
   learning: four case studies in south-eastern Australia
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Risk assessment; Social learning;
   Vulnerability assessment
ID MANAGEMENT; POLICY; SCIENCE
AB Technical assessments of vulnerability and/or risk are increasingly being undertaken to assess the impacts of climate change. Underlying this is the belief that they will bring clarity to questions regarding the scale of institutional investments required, plausible adaptation policies and measures, and the timing of their implementation. Despite the perceived importance of technical assessments in 'evidence-based' decision environments, assessments cannot be undertaken independent of values and politics, nor are they capable of eliminating the uncertainty that clouds decision-making on climate adaptation As such, assessments can trigger as many questions as they answer, leaving practitioners and stakeholders to question their value. This paper explores the value of vulnerability/risk assessments in climate change adaptation planning processes as a catalyst for learning in four case studies in Southeastern Australia. Data were collected using qualitative interviews with stakeholders involved in the assessments and analysed using a social learning framework. This analysis revealed that detailed and tangible strategies or actions often do not emerge directly from technical assessments. However, it also revealed that the assessments became important platforms for social learning. In providing these platforms, assessments present opportunities to question initial assumptions, explore multiple framings of an issue, generate new information, and galvanise support for collective actions. This study highlights the need for more explicit recognition and understanding of the important role social learning plays in climate change vulnerability assessments and adaptation planning more broadly.
C1 [Yuen, Emma] CSIRO Marine & Atmospher, Aspendale, Vic 3195, Australia.
   [Jovicich, Samantha Stone] James Cook Univ, CSIRO Ecosyst Sci & Climate Adaptat Flagship, ATSIP, Townsville, Qld 4811, Australia.
   [Preston, Benjamin L.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   James Cook University; United States Department of Energy (DOE); Oak
   Ridge National Laboratory
RP Yuen, E (corresponding author), CSIRO Marine & Atmospher, 107-121 Stn St, Aspendale, Vic 3195, Australia.
EM emma.j.yuen@csiro.au; samantha.stone-jovicich@csiro.au;
   prestonbl@ornl.gov
RI Yuen, Emma/G-5110-2012; Preston, Benjamin/B-9001-2012; Stone-Jovicich,
   Samantha/G-3689-2011
OI Preston, Benjamin/0000-0002-7966-2386; Stone-Jovicich,
   Samantha/0000-0003-0839-0333
FU CSIRO Climate Change Adaptation Flagship
FX The authors would like to acknowledge the project managers of the four
   case studies for their support, all the interviewees who gave up their
   time to be interviewed, the reviewers for their valuable comments and
   the CSIRO Climate Change Adaptation Flagship who funded the research.
CR [Anonymous], ACT CLIMATE CHANGE W
   [Anonymous], MAN CLIM CHANG PAP G
   [Anonymous], GATEKEEPER SERIES
   [Anonymous], CLIMATE ADLAPTATION
   [Anonymous], IPWEA NAT C CLIM CHA
   [Anonymous], 1994, 1 SESS C PART UN FRA
   [Anonymous], 1957, MODELS MAN SOCIAL RA
   [Anonymous], 2008, CLIMATE CHANGE WATER
   [Anonymous], 1996, Understanding Risk: Informing Decisions in a Democratic Society, DOI 10.5860/choice.34-5653
   [Anonymous], SUSTAINABILITY SCI
   [Anonymous], SOCIAL LEARNING FIEL
   [Anonymous], GREENH 2009 C CSIRO
   [Anonymous], J CORPORATE CITIZENS
   [Anonymous], SOME THOUGHTS TURNIN
   [Anonymous], CONFLICT POSTITIVE O
   [Anonymous], SCI DECISIONMAKING
   [Anonymous], DISASTER STUDIES
   [Anonymous], AD POL FRAM US GUID
   [Anonymous], SOCIAL LEARNING ADAP
   Argyris ChrisSchon., 1974, Theory in practice: Increasing professional effectiveness
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Babbie E., 1992, The practice of social research, V10th
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P493, DOI 10.1016/j.envsci.2007.04.003
   Braun K, 2010, SCI TECHNOL HUM VAL, V35, P771, DOI 10.1177/0162243909357916
   Brunner RD, 1996, CLIMATIC CHANGE, V32, P121, DOI 10.1007/BF00143705
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Cundill G, 2009, J ENVIRON MANAGE, V90, P3205, DOI 10.1016/j.jenvman.2009.05.012
   Dyball R, 2005, SOCIAL LEARNING ENV
   Eakin HC, 2011, WIRES CLIM CHANGE, V2, P141, DOI 10.1002/wcc.100
   Engelhardt HugoTristram., 1987, Scientific Controversies: Case Studies In The Resolution And Closure Of Disputes In Science And Technology
   Flood R.L., 1996, DIVERSITY MANAGEMENT
   Funfgeld H., 2011, Framing Climate Change Adaptation in Policy and Practice
   Gidley J. M., 2009, Environmental Policy and Governance, V19, P427, DOI 10.1002/eet.524
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Lim B., 2004, ADAPTATION POLICY FR
   Lowe T., 2006, Vicarious experience vs. scientific information in climate change risk perception and behavior: A case study of undergraduate students in Norwich
   Maarleveld M., 1999, Agriculture and Human Values, V16, P267, DOI 10.1023/A:1007559903438
   Martin Brian., 1995, HDB SCI TECHNOLOGY S
   Muro M, 2008, J ENVIRON PLANN MAN, V51, P325, DOI 10.1080/09640560801977190
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   Pahl-Wostl C, 2004, J COMMUNITY APPL SOC, V14, P193, DOI 10.1002/casp.774
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Roling N, 2002, WHEELBARROWS FULL FR
   Sarewitz D, 1999, TECHNOL SOC, V21, P121, DOI 10.1016/S0160-791X(99)00002-0
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   WALTERS CJ, 1990, ECOLOGY, V71, P2060, DOI 10.2307/1938620
   Wilder M, 2010, ANN ASSOC AM GEOGR, V100, P917, DOI 10.1080/00045608.2010.500235
NR 50
TC 39
Z9 43
U1 1
U2 63
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD JUN
PY 2013
VL 18
IS 5
BP 567
EP 590
DI 10.1007/s11027-012-9376-4
PG 24
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 137DY
UT WOS:000318416600004
DA 2025-01-10
ER

PT J
AU Carroll, C
   Parks, SA
   Dobrowski, SZ
   Roberts, DR
AF Carroll, Carlos
   Parks, Sean A.
   Dobrowski, Solomon Z.
   Roberts, David R.
TI Climatic, topographic, and anthropogenic factors determine connectivity
   between current and future climate analogs in North America
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change adaptation; connectivity; conservation planning; graph
   theory; protected areas; refugia
ID DISPERSAL CORRIDORS; PROTECTED AREAS; CONSERVATION; LANDSCAPE; VELOCITY;
   MANAGEMENT; POPULATIONS; DIVERSITY; MIGRATION; MOVEMENT
AB As climatic conditions shift in coming decades, persistence of many populations will depend on their ability to colonize habitat newly suitable for their climatic requirements. Opportunities for such range shifts may be limited unless areas that facilitate dispersal under climate change are identified and protected from land uses that impede movement. While many climate adaptation strategies focus on identifying refugia, this study is the first to characterize areas which merit protection for their role in promoting climate connectivity at a continental extent. We identified climate connectivity areas across North America by delineating paths between current climate types and their future analogs that avoided nonanalogous climates, and used centrality metrics to rank the contribution of each location to facilitating dispersal across the landscape. The distribution of connectivity areas was influenced by climatic and topographic factors at multiple spatial scales. Results were robust to uncertainty in the magnitude of future climate change arising from differing emissions scenarios and general circulation models, but sensitive to analysis extent and assumptions concerning dispersal behavior and maximum dispersal distance. Paths were funneled along north-south trending passes and valley systems and away from areas of novel and disappearing climates. Climate connectivity areas, where many potential dispersal paths overlapped, were distinct from refugia and thus poorly captured by many existing conservation strategies. Existing protected areas with high connectivity values were found in southern Mexico, the southwestern US, and western and arctic Canada and Alaska. Ecoregions within the Isthmus of Tehuantepec, Great Plains, eastern temperate forests, high Arctic, and western Canadian Cordillera hold important climate connectivity areas which merit increased conservation focus due to anthropogenic pressures or current low levels of protection. Our coarse-filter climate-type-based results complement and contextualize species-specific analyses and add a missing dimension to climate adaptation planning by identifying landscape features which promote connectivity among refugia.
C1 [Carroll, Carlos] Klamath Ctr Conservat Res, Orleans, CA 95556 USA.
   [Parks, Sean A.] US Forest Serv, Aldo Leopold Wilderness Res Inst, Rocky Mt Res Stn, Missoula, MT USA.
   [Dobrowski, Solomon Z.] Univ Montana, Dept Forest Management, Coll Forestry & Conservat, Missoula, MT 59812 USA.
   [Roberts, David R.] Univ Calgary, Dept Geog, Calgary, AB, Canada.
   [Roberts, David R.] Univ Calgary, Arctic Inst North Amer, Calgary, AB, Canada.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; University of Montana System; University of Montana; University
   of Calgary; University of Calgary
RP Carroll, C (corresponding author), Klamath Ctr Conservat Res, Orleans, CA 95556 USA.
EM carlos@klamathconservation.org
RI ; Dobrowski, Solomon/Q-7132-2019
OI Roberts, David/0000-0002-3437-2422; Parks, Sean/0000-0002-2982-5255;
   Dobrowski, Solomon/0000-0003-2561-3850
FU Wilburforce Foundation
FX Wilburforce Foundation
CR Adriaensen F, 2003, LANDSCAPE URBAN PLAN, V64, P233, DOI 10.1016/S0169-2046(02)00242-6
   Ahuja R. K., 1993, Network Flows: Theory, Algorithms, and Applications
   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
   Alvarez-Romero JG, 2018, GLOBAL CHANGE BIOL, V24, pE671, DOI 10.1111/gcb.13989
   [Anonymous], 1990, Generalized additive models
   [Anonymous], 2009, ASTER Global DEM Validation Summary Report
   [Anonymous], 1997, Ecological Regions of North America: Toward a Common Perspective
   Batllori E, 2017, GLOBAL CHANGE BIOL, V23, P3219, DOI 10.1111/gcb.13663
   Beier P, 2015, CONSERV BIOL, V29, P613, DOI 10.1111/cobi.12511
   Brito-Morales I, 2018, TRENDS ECOL EVOL, V33, P441, DOI 10.1016/j.tree.2018.03.009
   C. E. C, 2010, TERR PROT AR N AM 20
   Carroll C, 2017, GLOBAL CHANGE BIOL, V23, P4508, DOI 10.1111/gcb.13679
   Carroll C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140486
   Carroll C, 2014, CONSERV BIOL, V28, P76, DOI 10.1111/cobi.12156
   Carroll C, 2012, CONSERV BIOL, V26, P78, DOI 10.1111/j.1523-1739.2011.01753.x
   Ceballos G, 2002, SCIENCE, V296, P904, DOI 10.1126/science.1069349
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Dobrowski SZ, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12349
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Graham CH, 2010, ECOGRAPHY, V33, P1062, DOI 10.1111/j.1600-0587.2010.06430.x
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Huang JB, 2017, NAT CLIM CHANGE, V7, P875, DOI 10.1038/s41558-017-0009-5
   Keppel G, 2012, GLOBAL CHANGE BIOL, V18, P2389, DOI 10.1111/j.1365-2486.2012.02729.x
   Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256
   Lawler JJ, 2013, ECOL LETT, V16, P1014, DOI 10.1111/ele.12132
   Littlefield CE, 2017, CONSERV BIOL, V31, P1397, DOI 10.1111/cobi.12938
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Mahony CR, 2017, GLOBAL CHANGE BIOL, V23, P3934, DOI 10.1111/gcb.13645
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   McRae B., 2016, CONSERVING NATURES S
   Mcrae BH, 2007, P NATL ACAD SCI USA, V104, P19885, DOI 10.1073/pnas.0706568104
   Miller KM, 2018, GLOBAL ECOL BIOGEOGR, V27, P57, DOI 10.1111/geb.12671
   Molinos JG, 2017, GLOBAL CHANGE BIOL, V23, P4440, DOI 10.1111/gcb.13665
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Newman M.E.J., 2010, NETWORKS INTRO, DOI DOI 10.1093/ACPROF:OSO/9780199206650.001.0001
   Noss ReedF., 1994, SAVING NATURES LEGAC
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Ordonez A, 2013, ECOL LETT, V16, P773, DOI 10.1111/ele.12110
   Phillips SJ, 2008, ECOL APPL, V18, P1200, DOI 10.1890/07-0507.1
   RAO CR, 1982, THEOR POPUL BIOL, V21, P24, DOI 10.1016/0040-5809(82)90004-1
   Rudnick D. A., 2012, Issues in Ecology, V16, P1, DOI [10.1095/biolreprod46.1.155, DOI 10.1095/BIOLREPROD46.1.155]
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   Stralberg D, 2018, GLOBAL ECOL BIOGEOGR, V27, P690, DOI 10.1111/geb.12731
   Tingley MW, 2014, ANN NY ACAD SCI, V1322, P92, DOI 10.1111/nyas.12484
   van Etten J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012060
   Venter O, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.67
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wilson MFJ, 2007, MAR GEOD, V30, P3, DOI 10.1080/01490410701295962
NR 52
TC 77
Z9 87
U1 11
U2 94
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 2018
VL 24
IS 11
BP 5318
EP 5331
DI 10.1111/gcb.14373
PG 14
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA GX5CX
UT WOS:000447760300026
PM 29963741
OA hybrid
DA 2025-01-10
ER

PT J
AU Tonmoy, FN
   Rissik, D
   Palutikof, JP
AF Tonmoy, Fahim Nawroz
   Rissik, David
   Palutikof, J. P.
TI A three-tier risk assessment process for climate change adaptation at a
   local scale
SO CLIMATIC CHANGE
LA English
DT Article
ID VULNERABILITY; PATHWAYS; BARRIERS; INDICATORS; IMPACTS; MAP
AB Formal structures for evaluating climate change risk are important components of adaptation decision-making. In this paper, we present an accessible, cost-effective and user-tested climate change risk assessment framework which allows organisations to systematically apply a risk management process aligned with international standards to identify and manage their climate change risks. It is delivered through CoastAdapt', a resource supporting climate change adaptation in Australia. This three-tier framework offers four benefits to the adaptation process. First, it allows organisations to identify climate change risks and integrate them with their mainstream risk management process. Second, it makes optimal use of an organisation's limited adaptation resources by taking a tiered approach, so allowing an organisation to start from a low knowledge base using minimal resources and, only if required, then move to more complex and resource-intensive risk assessment processes. Third, it introduces a time-dependent vulnerability rating which recognises the particular characteristics of climate change risksthat they are long term and associated with a considerable degree of uncertainty. Finally, it takes into account business inter-dependencies that can exacerbate impacts but be overlooked in a sector-based impacts evaluation. In this paper, we highlight the appropriate context in which to use each risk assessment tier, explore key technical differences among the three tiers, describe performance testing and present one case study of application. We discuss the benefits of this tiered risk assessment approach in the context of broader adaptation planning.
C1 [Tonmoy, Fahim Nawroz; Rissik, David; Palutikof, J. P.] Griffith Univ, Natl Climate Change Adaptat Res Facil, Gold Coast, Qld 4222, Australia.
   [Tonmoy, Fahim Nawroz] Griffith Univ, Sch Engn & Built Environm, Gold Coast, Qld 4222, Australia.
   [Tonmoy, Fahim Nawroz] Univ Sydney, Sch Civil Engn, Darlington, NSW 2008, England.
   [Rissik, David] BMT Eastern Australia, 200 Creek St, Brisbane, Qld 4000, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University - Gold Coast Campus; University of
   Sydney
RP Tonmoy, FN (corresponding author), Griffith Univ, Natl Climate Change Adaptat Res Facil, Gold Coast, Qld 4222, Australia.; Tonmoy, FN (corresponding author), Griffith Univ, Sch Engn & Built Environm, Gold Coast, Qld 4222, Australia.; Tonmoy, FN (corresponding author), Univ Sydney, Sch Civil Engn, Darlington, NSW 2008, England.
EM fahim.tonmoy@hotmail.com
RI ; Tonmoy, Fahim/A-1502-2012
OI Palutikof, Jean/0000-0002-5248-6925; Tonmoy, Fahim/0000-0002-0963-112X
FU Australian Government through the Department of the Environment and
   Energy
FX CoastAdapt and its risk assessment framework were funded by the
   Australian Government through the Department of the Environment and
   Energy.
CR [Anonymous], CLIMATE RISK ASSESSM
   [Anonymous], CLIMATE CHANGE 201 A
   [Anonymous], 2018, RISK MANAGEMENT ISO
   [Anonymous], CLIMATIC CHANG UNPUB
   [Anonymous], 2009, Informing Decisions in a Changing Climate, DOI [DOI 10.17226/12626, 10.17226/12626]
   [Anonymous], LOCAL SOLUTIONS REPO
   [Anonymous], CLIM ADAPT PROF
   [Anonymous], US CLIMATE RESILIENC
   [Anonymous], LOC GOV CLIM CHANG A
   [Anonymous], 2013, PROC 22 C EUROPEAN S
   [Anonymous], 2012, PARTICIPATORY MONITO
   [Anonymous], MAINSTR CLIM CHANG A
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Blackburn S, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.549
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Carter MR, 2018, ENVIRON DEV ECON, V23, P369, DOI 10.1017/S1355770X17000407
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   Chen C, 2018, MITIG ADAPT STRAT GL, V23, P101, DOI 10.1007/s11027-016-9731-y
   Dawson RJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0298
   Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004
   El-Zein A, 2015, ECOL INDIC, V48, P207, DOI 10.1016/j.ecolind.2014.08.012
   Gardiner EP, 2019, CLIMATIC CHANGE, V153, P477, DOI 10.1007/s10584-018-2216-0
   Gilroy K, 2018, CLIM SERV, V11, P62, DOI 10.1016/j.cliser.2018.04.002
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hasse C, 2019, CLIMATIC CHANGE, V153, P559, DOI 10.1007/s10584-018-2166-6
   Heazle M, 2013, ENVIRON SCI POLICY, V33, P162, DOI 10.1016/j.envsci.2013.05.009
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Howard-Grenville J, 2014, ACAD MANAGE J, V57, P615, DOI 10.5465/amj.2014.4003
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Lin BB, 2017, COAST MANAGE, V45, P384, DOI 10.1080/08920753.2017.1349564
   Abadie LM, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5254
   McClure L, 2018, LANDSCAPE URBAN PLAN, V173, P81, DOI 10.1016/j.landurbplan.2018.01.012
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P491, DOI 10.1007/s10584-018-2200-8
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P607, DOI 10.1007/s10584-018-2177-3
   Parry M., 1998, Climate impact and adaptation assessment
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Pini B, 2007, AUST GEOGR, V38, P161, DOI 10.1080/00049180701399985
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Snover A.K., 2007, PREPARING CLIMATE CH
   Stern N, 2013, J ECON LIT, V51, P838, DOI 10.1257/jel.51.3.838
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Street RB, 2019, CLIMATIC CHANGE, V153, P523, DOI 10.1007/s10584-018-2263-6
   Surminski S, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0307
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Tonmoy FN, 2018, ENVIRON SCI POLICY, V80, P9, DOI 10.1016/j.envsci.2017.11.003
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P1, DOI 10.1007/s10584-011-0157-y
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Webb R, 2019, CLIMATIC CHANGE, V153, P569, DOI 10.1007/s10584-018-2165-7
   Willows R., 2003, UKCIP TECHNICAL REPO
NR 56
TC 18
Z9 19
U1 0
U2 5
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD APR
PY 2019
VL 153
IS 4
SI SI
BP 539
EP 557
DI 10.1007/s10584-019-02367-z
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA HY1US
UT WOS:000467903200006
OA hybrid
DA 2025-01-10
ER

PT J
AU Acosta, M
   Riley, S
   Bonilla-Findji, O
   Martínez-Barón, D
   Howland, F
   Huyer, S
   Castellanos, A
   Martínez, JD
   Chanana, N
AF Acosta, Mariola
   Riley, Simon
   Bonilla-Findji, Osana
   Martinez-Baron, Deissy
   Howland, Fanny
   Huyer, Sophia
   Castellanos, Andrea
   Martinez, Jesus David
   Chanana, Nitya
TI Exploring Women's Differentiated Access to Climate-Smart Agricultural
   Interventions in Selected Climate-Smart Villages of Latin America
SO SUSTAINABILITY
LA English
DT Article
DE gender; intersectionality; climate-smart agriculture; Climate-Smart
   Village; Latin America
ID DECISION-MAKING; GENDER; VULNERABILITY; HOUSEHOLDS; RESILIENT; SERVICES
AB Much of the literature examining the role of gender in processes of climate change adaptation in the agricultural sector has focused primarily on differences between male and female farmers, implicitly treating men and women as homogenous groups. Where heterogeneity exists within these groups which impacts climate change adaptation efforts and outcomes, an understanding of such intersectionalities is vital to the design of effective and equitable policy. The objective of this study is to investigate whether interaction effects among socio-economic factors are meaningful drivers of observed differences among female farmers in their adoption of climate-smart agricultural (CSA) practices, as well as their use of climate information and financial services. This study employs data from farmer surveys in three Climate-Smart Villages in Latin America, analyzed using ordinal logistic regression and canonical correspondence analysis. The results indicate that important interaction effects are present: the relationship between higher educational attainment and increased adoption of CSA practices, for example, is conditional on the degree of livelihood diversification. The relationship between greater educational attainment and increased use of climate forecasts is likewise conditional on age. These results suggest the need for researchers and policymakers to anticipate potential intersectionalities when designing research efforts and development interventions.
C1 [Acosta, Mariola; Bonilla-Findji, Osana; Martinez-Baron, Deissy; Howland, Fanny; Castellanos, Andrea; Martinez, Jesus David; Chanana, Nitya] Int Ctr Trop Agr CIAT, Apartado Aereo, Cali 6713, Colombia.
   [Riley, Simon] Univ Florida, Agron Dept, Gainesville, FL 32611 USA.
   [Riley, Simon] Univ Florida, IFAS Stat Consulting Unit, Gainesville, FL 32611 USA.
   [Bonilla-Findji, Osana; Martinez-Baron, Deissy; Huyer, Sophia; Castellanos, Andrea; Martinez, Jesus David; Chanana, Nitya] CGIAR Res Program Climate Change Agr & Food Secur, NL-6708 PB Wageningen, Netherlands.
   [Huyer, Sophia] Int Livestock Res Inst ILRI, Nairobi 00100, Kenya.
C3 Alliance; International Center for Tropical Agriculture - CIAT; State
   University System of Florida; University of Florida; State University
   System of Florida; University of Florida; CGIAR; CGIAR; International
   Livestock Research Institute (ILRI)
RP Acosta, M (corresponding author), Int Ctr Trop Agr CIAT, Apartado Aereo, Cali 6713, Colombia.
EM acfra.mariola@gmail.com; simon.riley@ufl.edu; o.bonilla@cgiar.org;
   d.m.baron@cgiar.org; f.c.howland@cgiar.org; s.huyer@cgiar.org;
   a.e.castellanos@cgiar.org; j.d.martinez@cgiar.org; n.chanana@cgiar.org
RI Riley, Simon/LBI-6181-2024; Huyer, Sophia/IAN-7280-2023
OI Riley, Simon/0000-0002-4833-2026; Acosta, Mariola/0000-0003-4456-1283;
   Howland, Fanny/0000-0002-0778-2741; Castellanos Quintero, Andrea
   Estefania/0000-0002-2701-3632; Bonilla-Findji, Osana/0000-0002-6098-000X
FU International Development Research Centre (IDRC), Ottawa, Canada (IDRC)
   [108809-001]; CGIAR Research Program on Climate Change, Agriculture and
   Food Security (CCAFS); CGIAR Fund Donors
FX This research was funded by the International Development Research
   Centre (IDRC), Ottawa, Canada (IDRC Project Number: 108809-001) and the
   CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS). The APC was funded by the CGIAR Research Program on Climate
   Change, Agriculture and Food Security (CCAFS), which is carried out with
   support from CGIAR Fund Donors and through bilateral funding agreements.
CR Aberman NL, 2018, DEV POLICY REV, V36, P389, DOI 10.1111/dpr.12257
   Acosta M., 2019, Examining gender differences in the access to and implementation of climate-smart agricultural practices in Central America
   Acosta M, 2020, J DEV STUD, V56, P1210, DOI 10.1080/00220388.2019.1650169
   Aggarwal P., 2013, Climate-Smart Villages: a community approach to sustainable agricultural development
   Aggarwal PK, 2018, ECOL SOC, V23, DOI 10.5751/ES-09844-230114
   Ahmed MM, 2002, ENVIRON DEV ECON, V7, P507, DOI 10.1017/S1355770X0200030X
   Andersen LE, 2017, J INT DEV, V29, P857, DOI 10.1002/jid.3259
   [Anonymous], 2013, PRIMER ECOLOGICAL ST
   Arora-Jonsson S, 2014, WOMEN STUD INT FORUM, V47, P295, DOI 10.1016/j.wsif.2014.02.009
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Ayales I, 2019, CLIMATE MIGRATION DR
   Balikoowa K, 2019, CLIM DEV, V11, P839, DOI 10.1080/17565529.2019.1580555
   Bastakoti GB, 2020, CLIM DEV, V12, P547, DOI 10.1080/17565529.2019.1660604
   Beuchelt TD, 2013, FOOD SECUR, V5, P709, DOI 10.1007/s12571-013-0290-8
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bonilla-Findji O., 2020, STANDARD INDICATORS
   Bonilla-Findji O, 2019, STANDARD INDICATORS
   Bonilla-Findji O., 2020, STANDARD INDICATORS
   Bonilla-Findji O., 2021, IMPLEMENTATION MANUA, P35
   Bonilla-Findji Osana, 2020, HarvardDataverse, V2, DOI 10.7910/DVN/OSNTKT
   Bonilla-Findji Osana, 2020, HarvardDataverse, V3, DOI 10.7910/DVN/ZHEDWC
   Bonilla-Findji Osana, 2020, HarvardDataverse, V2, DOI 10.7910/DVN/VTPO4U
   Campbell BM, 2016, GLOB FOOD SECUR-AGR, V11, P34, DOI 10.1016/j.gfs.2016.06.002
   Chanana-Nag N, 2020, CLIMATIC CHANGE, V158, P13, DOI 10.1007/s10584-018-2233-z
   Chaves P, 2020, ENFOQUE GENERO ESTRA
   Cholo TC, 2020, CLIM DEV, V12, P323, DOI 10.1080/17565529.2019.1618234
   Christensen Rune Haubo Bojesen, 2023, CRAN
   Cochran W.G, 1991, SAMPLING TECHNIQUES, V3rd ed.
   Deere CD, 2012, REV RADICAL POL ECON, V44, P313, DOI 10.1177/0486613412446043
   Djido A, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100309
   ECLAC, GUAT COUNTR PROF
   ECLAC, HOND COUNTR PROF
   EIGE, 2016, GEND ENV CLIM CHANG
   Eitzinger A, 2019, COMPUT ELECTRON AGR, V158, P109, DOI 10.1016/j.compag.2019.01.049
   Evertsen KF, 2020, CLIM DEV, V12, P12, DOI 10.1080/17565529.2019.1596059
   FAO, 2018, GEND ICTS MAINSTR GE
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Hariharan VK, 2020, CLIMATIC CHANGE, V158, P77, DOI 10.1007/s10584-018-2321-0
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   Howland F, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.664253
   Huyer S, 2020, CLIMATIC CHANGE, V158, P1, DOI 10.1007/s10584-019-02612-5
   Huyer Sophia., 2020, Gender & Development, V28, DOI DOI 10.1080/13552074.2020.1836817
   ILO, 2019, EMPL AGR FEM FEM EMP
   Imbach P, 2017, CLIMATIC CHANGE, V141, P1, DOI 10.1007/s10584-017-1920-5
   Katz E., 2020, GENDER AGR, P19
   Khatri-Chhetri A, 2020, CLIMATIC CHANGE, V158, P29, DOI 10.1007/s10584-018-2350-8
   Leder S, 2019, EARTHSCAN FOOD AGRIC, P75
   Lenth Russell V, 2024, CRAN
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   McGarigal K., 2013, Multivariate statistics for wildlife and ecology research
   Mwungu C. M., 2020, HDB CLIMATE CHANGE R, P1647, DOI [10.1007/978-3-319-93336-8_78, DOI 10.1007/978-3-319-93336-8_78]
   Mwungu CM, 2017, DATA BRIEF, V14, P302, DOI 10.1016/j.dib.2017.07.040
   Nyasimi M., 2017, Agriculture for Development, P37
   Oksanen Jari, 2022, CRAN
   Opiyo F, 2016, CLIM DEV, V8, P179, DOI 10.1080/17565529.2015.1034231
   Parks MH, 2015, GEOJOURNAL, V80, P61, DOI 10.1007/s10708-014-9523-4
   Paz L.P, 2014, CCAFS INFORM LINEA B, P56
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Prager S, 2020, VULNERABILITY CLIMAT
   R Core Team, 2019, R LANG ENV STAT COMP
   Ragasa C, 2013, J AGRIC EDUC EXT, V19, P437, DOI 10.1080/1389224X.2013.817343
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Sarruf R, 2021, WOMENS ACTIVE ROLE C
   Tsige M, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2019.e00250
   Wang XF, 2020, CHEST, V158, pS12, DOI 10.1016/j.chest.2020.03.010
   Wasserstein RL, 2019, AM STAT, V73, P1, DOI 10.1080/00031305.2019.1583913
   Wasserstein RL, 2016, AM STAT, V70, P129
   Wichern J, 2019, DISENTANGLING DIVERS
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   World Bank, 2017, INT GEND ISS CLIM SM
   Yokying P, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105012
NR 72
TC 5
Z9 5
U1 4
U2 37
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 19
AR 10951
DI 10.3390/su131910951
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 WF8YT
UT WOS:000706588200001
OA gold
DA 2025-01-10
ER

PT J
AU Mubaya, CP
   Mafongoya, PL
   Obert, J
AF Mubaya, C. P.
   Mafongoya, Paramu L.
   Obert, Jiri
TI Contextualizing gender in climate change adaptation in semi-arid
   Zimbabwe
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Gender considerations; Gender
   contextualization
AB Purpose - Climate change impacts tend to coalesce with everyday vulnerability and affect different socioeconomic groups in different ways. In this regard, this study aims to contribute to studies that make gender critical to understanding the way that climate change is experienced. Socially constructed gender differences have a bearing on the extent of exposure to climatic shocks, leading to various patterns of vulnerability to these shocks.
   Design/methodology/approach - This study uses both qualitative and quantitative methodologies to collect data.
   Findings - The study finds that there is an inherent potential within the study area for equal opportunities for both men and women to address levels of vulnerability to climatic shocks and, by implication, potential to challenge patriarchal structures that tend to characterize these study areas. The contextualization of gender analysis remains elusive in the face of increasingly shifting gender roles that traditionally defined women as victims to everyday vulnerability and more recently in conjunction with climatic shocks.
   Originality/value - In this regard, this research contributes to emerging perspectives on the potential role of 'woman as heroine' and challenges the perception of 'woman as victim' in environmental management. Considerations for mainstreaming adaptation responses to climate change do not necessarily have to consider women as a special social group in isolation but, rather, implications for both men and women and caution that embeddedness remains key for gender considerations in any rural context.
C1 [Mubaya, C. P.] Chinhoyi Univ Technol, Int Collaborat Off, Chinhoyi, Zimbabwe.
   [Mafongoya, Paramu L.] Univ KwaZulu Natal, Rural Agron & Dev, Pietermaritzburg, South Africa.
   [Obert, Jiri] Univ Zimbabwe, Fac Agr, Harare, Zimbabwe.
C3 University of Kwazulu Natal; University of Zimbabwe
RP Mubaya, CP (corresponding author), Chinhoyi Univ Technol, Int Collaborat Off, Chinhoyi, Zimbabwe.
EM mubayacp@yahoo.com
FU National Research Foundation, South Africa
FX The authors acknowledge funding from the National Research Foundation,
   South Africa.
CR Acosta M., 2016, CLIMATE CHANGE ADAPT
   Agrawal A., 2008, Local institutions and climate change adaptation
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Aguilar L., 2010, Gender and Climate Change: An Introduction, P173
   [Anonymous], 2008, IDS BULL I DEV STUD
   [Anonymous], 2001, ECON POLIT WEEKLY, DOI DOI 10.1007/s12524-013-0346-4
   Araújo ER, 2008, GENDER WORK ORGAN, V15, P477, DOI 10.1111/j.1468-0432.2008.00414.x
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Beraki Y., 2009, DO HOUSEHOLD COPING
   Bernstein L, 2008, Synthesis report
   Bord RJ, 1997, SOC SCI QUART, V78, P830
   Boserup E., 1970, WOMENS ROLE EC DEV
   Bowerbank Sylvia., 2004, Speaking for Nature: Women and Ecologies of Early Modern England
   Cannon Terry., 2002, GENDER DEV, V10, P45, DOI [DOI 10.1080/13552070215906, https://doi.org/10.1080/13552070215906]
   Carr ER, 2008, WORLD DEV, V36, P900, DOI 10.1016/j.worlddev.2007.05.009
   Changnon S.A., 2006, RAILROADS WEATHER, P1
   Chant S., 2010, INT HDB GENDER POVER, P65
   Chiappori P. A., 1993, INTRO GENDER WORK PO
   Dankelman I., 2008, GENDER CLIMATE CAHNG
   Dankelman I., 1992, GENDER DEV, V10, P21
   Davidson DJ, 1996, ENVIRON BEHAV, V28, P302, DOI 10.1177/0013916596283003
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Denton F., 2000, Energia News, V3, P13
   Flegel T., 2009, GENDER CLIMATE POLIC
   Gustafson PE, 1998, RISK ANAL, V18, P805, DOI 10.1023/B:RIAN.0000005926.03250.c0
   Guyer J., 1986, PERSPECTIVES FORM AN
   Harriss-White B., 1998, FEMINIST VISIONS DEV, P189
   Hart G, 1997, IDS BULL-I DEV STUD, V28, P14, DOI 10.1111/j.1759-5436.1997.mp28003002.x
   Hill C., 2003, GLANCE LINKS PROJECT
   Idrisa Y. L., 2008, Agro-Science, V7, P199
   Insights, 2012, IDS I DEV STUD KNOWL
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jackson MO, 1996, J ECON THEORY, V71, P44, DOI 10.1006/jeth.1996.0108
   Jaquette J. S., 2008, AETTING CONTEXT APPR
   Kabeer N., 2000, POWER CHOOSE BANGLAD
   Kabeer Naila., 2008, Paid work, women's empowerment and gender justice: critical pathways of social change
   Kleiber D, 2015, FISH FISH, V16, P547, DOI 10.1111/faf.12075
   Lewis Desiree., 2002, GENDER WOMENS STUDIE
   Locke C, 1999, Dev Pract, V9, P274, DOI 10.1080/09614529953016
   Low Alaine., 2001, Women as Sacred Custodians of the Earth?
   Mama A., 1996, WOMENS STUDIES STUDI
   Mama Amina., 1995, Africa Development, VXX, P37
   Manuh T., 2001, C AFR GEND U CAL SAN
   March C., 1999, A Guide to Gender-Analysis Frameworks
   Marcoux A, 1998, POPUL DEV REV, V24, P131, DOI 10.2307/2808125
   Mohammed A. B., 2010, GENDER ISSUE CLIMATE
   Moock J., 1986, Understanding Africa's rural households and farming systems
   Mubaya C. P., 2009, PROPRIETORSHIP MURPH, P136
   Murombedzi J. C., 1993, DECENTRALIZATION REC
   Neogy, 2012, CHALLENGING CULTURAL
   Nitya R., 2008, GOOD WOMEN DO NOT IN
   Nzomo M., 1998, INT S SOC SCI CHALL
   Okali C., 2013, MAKING SENSE GENDER
   Okali C., 2011, SEARCHING NEW PATHWA
   Okali C., 2012, Gender analysis: engaging with rural development and agricultural policy processes
   Orewa S. I., 2010, WORLD J GEN AGR, V2
   Pereira C., 2002, 10 GEN ASS CODESRIA
   Quisumbing AR, 1996, WORLD DEV, V24, P1579, DOI 10.1016/0305-750X(96)00059-9
   Reed M.G., 2000, Gender, Place and Culture, V7, P363, DOI DOI 10.1080/713668882
   Ruether R. R., 2004, WILEY BLACKWELL ENCY
   Sen G, 2008, Glob Public Health, V3 Suppl 1, P1, DOI 10.1080/17441690801900795
   SPC, 2014, PAC GEND CLIM CHANG
   Sprengler K., 2001, J INT POLICY, V303
   UN Women, 2012, RUR PAC ISL WOM AGR
   UN Women Watch, 2009, WOM GEND EQUAL CLIM
   Webb J., 2012, GENDER DYNAMICS CHAN
   Whitehead Ann., 2000, EUR J DEV RES, V12, P23
   ZIMVAC, 2014, ZIMVAC
NR 68
TC 2
Z9 2
U1 1
U2 20
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2017
VL 9
IS 4
BP 488
EP 500
DI 10.1108/IJCCSM-07-2016-0095
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FD6IY
UT WOS:000407633400005
DA 2025-01-10
ER

PT J
AU Purnomo, AH
   Kurniawan, T
   Farandy, AR
   Apriliani, T
   Nurlaili
   Imron, M
   Sajise, AJ
AF Purnomo, Agus Heri
   Kurniawan, Tikkyrino
   Farandy, Alan Ray
   Apriliani, Tenny
   Nurlaili
   Imron, Masyhuri
   Sajise, Asa Jose
TI Revisiting the climate change adaptation strategy of Jakarta's coastal
   communities
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE CEA analysis; Climate change; Future options; Impacts; Resilience;
   Vulnerability
AB Jakarta's coastal communities are facing significant risks from climate change, influenced by both geographical and socioeconomic factors. Our study aimed to assess the current state of climate change adaptation efforts and propose strategies for reducing risks. Using a combination of a surveys and focused group discussions (FGDs) in six urban villages, we evaluated existing strategies, identified the remaining vulnerabilities, estimated costeffectiveness, and provided recommendations. Our cost-effectiveness analysis (CEA) identified dredging, embankments, and floodgate constructions as the most cost-effective options. Communities have also implemented water supply infrastructure using the reverse osmosis technique and have initiated training programs to support local businesses, with a focus on green mussel processing and brick manufacturing. Our findings, supported by previous policies and projects, underscore the importance of CEA recommendations. Inadequate dredging was identified as a primary factor contributing to the low effectiveness of flood canal projects. FGDs highlighted the critical role of freshwater facilities and local business promotion in enhancing community resilience to climate change. Leveraging local potential and social capital is crucial for the effective implementation of our recommendations. These findings emphasize the need for extensive community engagement, challenges associated with securing funding, and the importance of integrating technical and social aspects in adaptation programs. By prioritizing evidence-based decision-making through CEA, our study contributes to the development of effective governance models for coastal and ocean management. Our findings offer valuable insights for policymakers and practitioners worldwide, highlighting the importance of holistic community-driven strategies that integrate technical solutions with local knowledge and active community participation.
C1 [Purnomo, Agus Heri; Kurniawan, Tikkyrino; Nurlaili; Imron, Masyhuri] Natl Agcy Res & Innovat, Res Ctr Soc & Culture, Gedung Widya Graha 6th Floor, Jakarta 12710, Indonesia.
   [Farandy, Alan Ray; Apriliani, Tenny] Natl Agcy Res & Innovat, Res Ctr Behav & Circular Econ, Gedung Widya Graha 4th Floor, Jakarta 12710, Indonesia.
   [Sajise, Asa Jose] Univ Philippines Los Banos, Dept Econ CEM, Laguna 4031, Philippines.
C3 University of the Philippines System; University of the Philippines Los
   Banos
RP Kurniawan, T (corresponding author), Natl Agcy Res & Innovat, Res Ctr Soc & Culture, Gedung Widya Graha 6th Floor, Jakarta 12710, Indonesia.
EM tikk001@brin.go.id
OI Purnomo, Agus Heri/0000-0002-9948-7386; Farandy, Alan
   Ray/0000-0002-8474-0967
FU National Agency for Research and Innovation of the Republic of Indonesia
FX <BOLD>Funding</BOLD> This study was funded by the National Agency for
   Research and Innovation of the Republic of Indonesia.
CR Abidin H.Z., 2012, EGU GEN ASSEMBLY 201, P393
   Alains A.M., 2009, Jurnal Ekonomi Pembangunan, V10, P172
   Alsaedi R.N.R.M, 2017, 2017 Int. J. Sci. Basic Appl. Res., V36, P26
   [Anonymous], 2012, Jurnal Masyarakat dan Budaya, V14, P599
   [Anonymous], 2001, Cost-effectiveness analysis: methods and applications
   Avia L. Q., 2019, IOP Conference Series: Earth and Environmental Science, V374, DOI 10.1088/1755-1315/374/1/012037
   Batubara B, 2023, GEOFORUM, V139, DOI 10.1016/j.geoforum.2023.103689
   Bhula Radhika., 2022, Conducting cost-effectiveness analysis (CEA)
   Biswas RR, 2023, J ENVIRON MANAGE, V336, DOI 10.1016/j.jenvman.2023.117666
   Bott LM, 2021, OCEAN COAST MANAGE, V211, DOI 10.1016/j.ocecoaman.2021.105775
   BPS DKI Jakarta, 2022, Development of DKI Jakarta Provincial Social Indicators 2022
   Chen J, 2023, ENVIRON SCI POLICY, V150, DOI 10.1016/j.envsci.2023.103589
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Coordinating Ministry for Economic Affairs, 2014, Pengembangan Terpadu Pesisir Ibukota Negara Cetakan Pertama
   das Neves L, 2023, OCEAN COAST MANAGE, V239, DOI 10.1016/j.ocecoaman.2023.106576
   Edelman D.J., 2020, Current Urban Studies, DOI [10.4236/cus.2020.81003, DOI 10.4236/CUS.2020.81003]
   Esteban M, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2019.104852
   FAO, 2018, IMPACTS CLIMATE CHAN
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Azcona HF, 2022, OCEAN COAST MANAGE, V220, DOI 10.1016/j.ocecoaman.2022.106080
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Gaines SD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao1378
   Garschagen M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082934
   Habibie M.N., 2018, J. Segara, V14, P159, DOI [10.15578/segara.v14i3.6650, DOI 10.15578/SEGARA.V14I3.6650]
   Imron M., 2003, Jurnal Masyarakat dan Budaya, V5, P63, DOI [10.14203/jmb.v5i1.259, DOI 10.14203/JMB.V5I1.259]
   Kalther J, 2021, Jurnal Segara, V17, P43
   Lehmann M, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105784
   Major DC, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105789
   Marfai M.A., 2009, IOP Conference Series. Earth and Environmental Science 2009, V6, DOI [10.1088/1755-1307/6/35/352009,35, DOI 10.1088/1755-1307/6/35/352009,35]
   Mingle J, 2020, NEW YORK REV BOOKS, V67, P49
   Moe I.R., 2016, J JAPAN SOC CIVIL G, V72, P283
   Mohan D, 2023, CLIM DEV, V15, P808, DOI 10.1080/17565529.2022.2163845
   Mursyid H, 2021, FOREST POLICY ECON, V133, DOI 10.1016/j.forpol.2021.102622
   Nasution M., 2022, Pusat Kajian Anggaran - Badan Keahlian Sekretariat Jenderal DPR
   Noriko N, 2020, Water Conservation in Dense Settlements of Urban Areas, P96
   Nurhidayah L, 2019, OCEAN COAST MANAGE, V171, P11, DOI 10.1016/j.ocecoaman.2019.01.011
   Nurlaili N, 2017, J Sosek KP, V12, P203
   OECD, 2019, Implementing Adaptation Policies: towards Sustainable Development
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Padawangi R., 2012, Climate change and the north coast of Jakarta. Environmental justice and the social construction of space in urban poor communities
   Perez, 2013, EC ANAL CLIMATE CHAN
   Permanasari E, 2019, GEOGR TECH, V14, P56, DOI 10.21163/GT_2019.141.19
   Purnomo A.H, 2015, Climate Change in Coastal Areas: Conception and Application of Adaptation Strategies
   Purnomo A.H, 2010, PROS SEM INT COR REE, P1
   Putri A, 2014, ICSBE 2014 INT C SUS
   Ramadan A, 2017, INT C P
   Regmi Morcette., 2010, Participatory tools and techniques for assessing climate change impacts and exploring adaptation options
   Reid H., 2009, Participatory Learning and Action, V60, P11
   Rekittke J, 2017, Out There: Landscape Architecture on Global Terrain, P86
   Roriris E.T, 2020, MASTER ENV MANAGEMEN
   Roscher MB, 2022, FISH FISH, V23, P910, DOI 10.1111/faf.12662
   Roy A, 2024, ENVIRON DEV, V49, DOI 10.1016/j.envdev.2023.100937
   Ryan EJ, 2022, ENVIRON SCI POLICY, V127, P1, DOI 10.1016/j.envsci.2021.10.012
   Saavedra C, 2009, HABITAT INT, V33, P246, DOI 10.1016/j.habitatint.2008.10.004
   Costa MJS, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192214645
   Schneider P, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100244
   Setiadi R, 2019, URBAN POLICY RES, V37, P111, DOI 10.1080/08111146.2017.1377607
   Setiawan B.I, 2021, Earth and Environmental Science, V622, DOI [10.1088/1755-1315/622/1/012047,012047, DOI 10.1088/1755-1315/622/1/012047,012047]
   Sidhu Gretchen., 2007, United Nations Development Programme Annual Report 2007
   Simanjuntak I, 2012, WATER POLICY, V14, P561, DOI 10.2166/wp.2012.119
   Sultana N, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.823296
   Supriyadi Indarto, 2019, Adaptasi Terhadap Dampak Perubahan Iklim Masyarakat Pesisir: Studi Kasus Kabupaten Probolinggo, Jawa Timur Dan Pulau Bintan, Kepulauan Riau/Adaptation to the Impacts of Climate Change in Coastal Communities: A Case Study of Probolinggo Regency, East Java and Bintan Island, Riau Islands, P75
   Surya MY, 2019, WATER-SUI, V11, DOI 10.3390/w11071384
   Susilowati I., 2013, Jurnal Ekonomi Pembangunan, V14, P16
   Takagi H, 2016, URBAN CLIM, V17, P135, DOI 10.1016/j.uclim.2016.05.003
   Thapa PK., 2013, J Agric Environ, V14, P1, DOI [10.3126/aej.v14i0.19781, DOI 10.3126/AEJ.V14I0.19781]
   Vasseur L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095250
   Wasson Robert, 2020, Ecology, Economy and Society-the INSEE Journal, V3, P83, DOI 10.37773/ees.v3i2.150
   Weimer D.L, 2017, Policy Analysis Concepts and Practice, P502
   Wijaya A., 2019, Jurnal Teknik Hidraulik, V10, P15, DOI [10.32679/jth.v10i1.583, DOI 10.32679/JTH.V10I1.583]
   Zikra Muhammad, 2015, Procedia Earth and Planetary Science, V14, P57, DOI 10.1016/j.proeps.2015.07.085
   Zuhdi S, 2018, Penelusuran sejarah peradaban Jakarta
NR 72
TC 0
Z9 0
U1 9
U2 10
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD JUL 1
PY 2024
VL 253
AR 107112
DI 10.1016/j.ocecoaman.2024.107112
EA APR 2024
PG 10
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA RE3Y4
UT WOS:001225965600001
DA 2025-01-10
ER

PT J
AU Kong, TM
   de Villiers, AC
   Ntloana, MB
   Pollard, S
   Vogel, C
AF Kong, Taryn M.
   de Villiers, Ancois Carien
   Ntloana, Maowane Bernard
   Pollard, Sharon
   Vogel, Coleen
TI Implementing capacity development for disaster risk reduction as a
   social learning system
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Disaster management; Community of practice; Climate change adaptation;
   Vulnerability assessment; Local knowledge; Participatory research
ID LOCAL KNOWLEDGE; CLIMATE-CHANGE; RESILIENCE; MANAGEMENT; COMMUNITY;
   ADAPTATION; INSIGHTS; CONTEXT
AB Climate change can lead to changes in the frequency, intensity, spatial extent, duration and timing of weather extremes, which pose disaster risks to exposed and vulnerable communities. Capacity development is a common disaster risk reduction (DRR) action and a climate change adaptation. There is a knowledge gap on what is involved in and what works in practice of bottom-up approaches to develop DRR capacity that incorporates local ownership, local knowledge and learning. The participatory research described in this paper applied Wenger's conceptual framework for social learning systems to establish a community of practice (CoP) for DRR between 2016 and 2017 in Maruleng Local Municipality, South Africa. Planning documents, event and reflection notes, office reports and artefacts were initially coded based on key concepts of the framework and further coded based on emerging sub-themes. The results showed that the framework provided a useful structure for designing capacity development that emphasises learning and organically integrates local knowledge. Structuring capacity development as a social learning system has the potential to make the CoP's learning effort self-sustaining and shift the focus of capacity development from a specific task to a long-term common interest shared by CoP members. The framework, however, did not provide adequate consideration for institutional challenges such as high leadership turnover and limited political power of the CoP, which impacted alignment, mutuality and membership - all of which are important to sustaining the CoP for capacity development.
C1 [Kong, Taryn M.; de Villiers, Ancois Carien; Pollard, Sharon] Assoc Water & Rural Dev, POB 1919, ZA-1380 Hoedspruit, South Africa.
   [Ntloana, Maowane Bernard] Maruleng Local Municipal, 64 Springbok St, ZA-1380 Hoedspruit, Limpopo, South Africa.
   [Vogel, Coleen] Univ Witwatersrand, Global Change Inst, 1 Jan Smuts Ave, ZA-2000 Johannesburg, South Africa.
C3 University of Witwatersrand
RP Kong, TM (corresponding author), Univ Arizona, Sch Nat Resources & Environm, 1064 E Lowell St, Tucson, AZ 85721 USA.
EM tarynmkong@gmail.com
RI De Villiers, Ancois/ABF-8765-2021
OI De Villiers, Ancois Carien/0000-0001-5905-8651
FU United States Agency for International Development (USAID)
   [AID-674-A-1300008]; Maruleng Local Municipality; Mopani Disaster
   Management Centre; Kruger to Canyons Biosphere Region (K2C)
FX This participatory research was funded by the United States Agency for
   International Development (USAID) as a project activity under the
   Resilience in the Limpopo Basin Program Olifants River Catchment
   (RESILIM-O) program under the Cooperative Agreement, AID-674-A-1300008.
   We want to acknowledge the Association for Water and Rural Development
   the implementing agent for RESILIM-O for its support in establishing
   this research. The research analysis was done independent of the funder
   and AWARD. Views expressed in this case study are that of the
   researchers and do not necessarily reflect the views of the USAID or the
   United States Government. We want to thank the generous collaboration
   and support from key partners at Maruleng Local Municipality, Mopani
   Disaster Management Centre and Kruger to Canyons Biosphere Region (K2C).
   Special thanks to Hannes Steyn and his staff for their contribution to
   the learning projects. We also express appreciation for sharing of
   knowledge and practices on DRR by the following institutions: Research
   Alliance for Disaster Risk Reduction (RADAR) at University of
   Stellenbosch, Institute of Semi -Arid Environment and Disaster
   Management at the University of Venda, African Centre for Disaster
   Studies (ACDS) at North-West University and Victor Khanye Disaster
   Management Centre. We are very grateful to Harry Biggs and Jai
   Clifford-Holmes for their valuable review comments, and to the
   peer-reviewers for their valuable time and feedback.
CR AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Akmalah E, 2011, WATER INT, V36, P733, DOI 10.1080/02508060.2011.610729
   Galarza-Villamar JA, 2018, INT J DISAST RISK RE, V31, P1107, DOI 10.1016/j.ijdrr.2018.08.009
   [Anonymous], 1990, Basics of qualitative research
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Argyris C., 1976, INCREASING LEADERSHI
   Baudoin MA, 2017, INT J DISAST RISK RE, V23, P128, DOI 10.1016/j.ijdrr.2017.05.005
   Bethke Lynne, 2009, CAPACITY DEV ED PLAN
   Cho A, 2014, DISASTERS, V38, ps157, DOI 10.1111/disa.12068
   Danielsen F, 2009, CONSERV BIOL, V23, P31, DOI 10.1111/j.1523-1739.2008.01063.x
   Department of Enviromnental Affairs (DEA), 2016, LONG TERM AD SCEN FL
   Easterly W, 2008, AM ECON REV, V98, P95, DOI 10.1257/aer.98.2.95
   Fernandez-Gimenez ME, 2008, ECOL SOC, V13
   Fitchett J. M., 2016, Transactions of the Royal Society of South Africa, V71, P187, DOI 10.1080/0035919X.2016.1167788
   Flood S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac1c6
   Fukuda-Parr S., 2002, CAPACITY DEV NEW SOL
   Gray SRJ, 2014, OCEAN COAST MANAGE, V94, P74, DOI 10.1016/j.ocecoaman.2013.11.008
   Hagelsteen M, 2016, INT J DISAST RISK RE, V16, P43, DOI 10.1016/j.ijdrr.2016.01.010
   Hagelsteen M, 2013, INT J DISAST RISK RE, V3, P4, DOI 10.1016/j.ijdrr.2012.11.001
   Haque CE, 2019, NAT HAZARDS, V98, P137, DOI 10.1007/s11069-018-3485-7
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   IPCC, 2018, An IPCC Special Report on the Impacts of Global Warming of 1.5 C above Pre-industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts
   Islam MR, 2018, INT J DISAST RISK RE, V28, P531, DOI 10.1016/j.ijdrr.2017.12.017
   Johansson M, 2013, DISASTER PREV MANAG, V22, P17, DOI 10.1108/09653561311301943
   Kemmis S., 2005, Participatory action research: Communicative action and the public sphere, V3rd
   Kong TM, 2015, J ARID ENVIRON, V113, P77, DOI 10.1016/j.jaridenv.2014.10.003
   Kuper M, 2009, ECOL SOC, V14
   LAVELL A, 1994, DISASTERS DEV ENV, P49
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Maruleng Local Municipality (MLM), 2015, 2015 16 INT DEV PLAN
   McDonnell S, 2019, AM REV PUBLIC ADM, V49, P309, DOI 10.1177/0275074018804663
   McEwen L, 2018, INT J DISAST RISK RE, V27, P329, DOI 10.1016/j.ijdrr.2017.10.018
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Mostert E, 2007, ECOL SOC, V12
   Murti R, 2020, SYST PRACT ACT RES, V33, P409, DOI 10.1007/s11213-019-09495-8
   Ngwese NM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030825
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Pelling M., 2003, Natural Disasters and development in a globalizing world, DOI [DOI 10.4324/9780203402375, 10.4324/9780203402375]
   Poplin A, 2011, LECT NOTES COMPUT SC, V6783, P1
   Pritchett L., 2010, Fragile states: Stuck in a capability trap?
   Reckien D, 2013, SIMULAT GAMING, V44, P253, DOI 10.1177/1046878113480867
   Reddy SD, 2000, ENVIRON MANAGE, V25, P129, DOI 10.1007/s002679910010
   Reed MS, 2010, ECOL SOC, V15
   Reed MG, 2014, J ENVIRON MANAGE, V145, P230, DOI 10.1016/j.jenvman.2014.06.030
   Republic of South Africa: Department of Cooperative Governance, 2015, DIS MAN AM ACT
   Samaddar S, 2015, NAT HAZARDS, V75, P1531, DOI 10.1007/s11069-014-1380-4
   Scott Z, 2016, INT J DISAST RISK RE, V20, P145, DOI 10.1016/j.ijdrr.2016.04.010
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Sharpe J, 2016, INT J DISAST RISK RE, V17, P213, DOI 10.1016/j.ijdrr.2016.04.014
   Steins N. A., 1999, Agriculture and Human Values, V16, P241, DOI 10.1023/A:1007591401621
   Tiepolo M, 2017, GREEN ENERGY TECHNOL, P227, DOI 10.1007/978-3-319-59096-7_11
   Tiwari A, 2015, ENVIR HAZARD, P1, DOI 10.1007/978-3-319-09405-2
   Tran P, 2009, DISASTERS, V33, P152, DOI 10.1111/j.1467-7717.2008.01067.x
   Trogrlic RS, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061681
   United Nations Office for Disaster Risk Reduction (UNDRR), 2019, STRAT APPR CAP DEV I
   Van Vlaenderen H., 2004, COMMUNITY DEV J, V39, P135
   Vogel C, 2016, CLIMATE CHANGE ADAPT
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wenger E., 2009, COMMUNITIES PRACTICE
   Wenger-Trayner E., 2002, Cultivating communities of practice: a guide to managing knowledge
   Woodhill J., 1998, FACILITATING SUSTAIN
NR 63
TC 3
Z9 3
U1 2
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD NOV
PY 2020
VL 50
AR 101740
DI 10.1016/j.ijdrr.2020.101740
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA PG3PW
UT WOS:000599651800004
OA Bronze
DA 2025-01-10
ER

PT J
AU Kubo, T
   Tsuge, T
   Abe, H
   Yamano, H
AF Kubo, Takahiro
   Tsuge, Takahiro
   Abe, Hiroya
   Yamano, Hiroya
TI Understanding island residents' anxiety about impacts caused by climate
   change using Best-Worst Scaling: a case study of Amami islands, Japan
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Amami islands; Best-Worst Scaling; Climate change adaptation; Climate
   change communication; Island resident
ID GREENHOUSE-GAS MITIGATION; RISK PERCEPTION; GAMBIERDISCUS; COMMUNITIES;
   ADAPTATION; PRIORITIES; POLICY; SEA
AB Climate change poses significant risk to island communities; however, there has been limited quantitative investigation into local people's perception toward the risk. This study applied Best-Worst Scaling (BWS) to understand residents' anxieties about potential incidents caused by climate change in Amami islands, Japan. Through an interview with stakeholders, we selected five potential incidents for our BWS attributes: damage caused by typhoon and heavy rain (typhoon), damage caused by flood and a landslide (flood), damage from a drought (drought), damage from ciguatera fish poisoning (ciguatera), and incident caused by jellyfish (jellyfish). Changes in frequencies of the abovementioned incidents have already been observed in Japan. In 2016, we conducted a questionnaire survey of residents in Amami islands and received over 700 valid responses to BWS questions. Results showed that the average respondent was most anxious about the risk of typhoon, followed by flood, drought, ciguatera, and jellyfish. Furthermore, a comparative analysis did not find large variations among the islands in the residents' anxiety ranking concerning the incidents, but the degrees of their anxieties were different. The Amami-Oshima residents, for example, had relatively higher anxieties about flood, whereas the Okinoerabujima residents showed higher anxiety about drought. These findings support that their risk perceptions are determined by their experience and surrounding environments. Understanding the sensitivity of residents to climate change risk will encourage stakeholders to communicate and enhance climate change adaptation in local communities.
C1 [Kubo, Takahiro; Abe, Hiroya; Yamano, Hiroya] NIES, Ctr Environm Biol & Ecosyst Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058502, Japan.
   [Tsuge, Takahiro] Konan Univ, Fac Econ, Higashinada Ku, 8-9-1 Okamoto, Kobe, Hyogo 6588501, Japan.
C3 National Institute for Environmental Studies - Japan; Konan University
RP Kubo, T (corresponding author), NIES, Ctr Environm Biol & Ecosyst Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058502, Japan.
EM kubo.takahiro@nies.go.jp
RI Abe, Hiroya/AAM-8143-2021; Kubo, Takahiro/E-1243-2012
OI Yamano, Hiroya/0000-0002-1549-2429; Kubo, Takahiro/0000-0002-4832-5539;
   Abe, Hiroya/0000-0003-2777-5570
FU Japan Society for the Promotion of Science [16K00697]; Ministry of the
   Environmental, Japan [Economics and Policy Study; ERTDF (S-15:
   Predicting and Assessing Natural Capital and Ecosystem Services
   (PANCES)]; Grants-in-Aid for Scientific Research [16K00697] Funding
   Source: KAKEN
FX We acknowledge financial support from the Japan Society for the
   Promotion of Science (no. 16K00697), and the Ministry of the
   Environmental, Japan [Economics and Policy Study; ERTDF (S-15:
   Predicting and Assessing Natural Capital and Ecosystem Services
   (PANCES)]. We appreciate the Ministry of the Environment, the local
   governments and all respondents to the survey in the Amami Islands for
   their kind cooperation. We also thank Miyamoto, R., Mitsui, S., Mameno,
   K., and Uryu, S. for their support conducting the research.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Albert S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054011
   [Anonymous], 2018, R LANG ENV STAT COMP
   Brulle RJ, 2012, CLIMATIC CHANGE, V114, P169, DOI 10.1007/s10584-012-0403-y
   Buckley PJ, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00206
   Chateau-Degat ML, 2005, HARMFUL ALGAE, V4, P1053, DOI 10.1016/j.hal.2005.03.003
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Dai J, 2015, ECOL ECON, V116, P310, DOI 10.1016/j.ecolecon.2015.05.001
   FINN A, 1992, J PUBLIC POLICY MARK, V11, P12, DOI 10.1177/074391569201100202
   FISCHHOFF B, 1995, RISK ANAL, V15, P137, DOI 10.1111/j.1539-6924.1995.tb00308.x
   Frondel M, 2017, ECOL ECON, V137, P173, DOI 10.1016/j.ecolecon.2017.02.019
   FUKUYO Y, 1981, B JPN SOC SCI FISH, V47, P967
   Glenk K, 2014, ECOL ECON, V108, P49, DOI 10.1016/j.ecolecon.2014.09.027
   Hatayama Y, 2011, NIPPON SUISAN GAKK, V77, P685, DOI 10.2331/suisan.77.685
   Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
   IUCN, 2018, IUCN WORLD HER EV 20
   Jiang CS, 2015, ENVIRON INT, V83, P58, DOI 10.1016/j.envint.2015.06.006
   Jones AK, 2013, ENVIRON SCI POLICY, V29, P46, DOI 10.1016/j.envsci.2013.02.003
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   KOIKE K, 1991, NIPPON SUISAN GAKK, V57, P2261
   Lazrus H, 2012, ANNU REV ANTHROPOL, V41, P285, DOI 10.1146/annurev-anthro-092611-145730
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Lewis C, 2009, CLARIFYING IDENTITY
   Louviere J.J., 2015, Best-worst scaling: Theory, methods and applications
   Louviere J, 2013, INT J RES MARK, V30, P292, DOI 10.1016/j.ijresmar.2012.10.002
   Marley AAJ, 2005, J MATH PSYCHOL, V49, P464, DOI 10.1016/j.jmp.2005.05.003
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Ministry of the Environment Ministry of Education C.  Sports Science and Technology Ministry of Agriculture F. a. F.  Ministry of Land I. a. T.  the Japan Meteorological Agency, 2018, INT REP OBS PRED IMP, P138
   Mizuta R, 2011, J CLIMATE, V24, P6456, DOI 10.1175/2011JCLI3969.1
   Mori T, 2017, SSM-POPUL HLTH, V3, P624, DOI 10.1016/j.ssmph.2017.07.011
   Nerem R.S., 2018, P NATL ACAD SCI
   Nishimura T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060882
   Rachman SJ, 1990, FEAR AND COURAGE
   Rudd MA, 2014, FRONTIERS MARINE SCI
   Rudd MA, 2014, INTEGR ENVIRON ASSES, V10, P576, DOI 10.1002/ieam.1551
   Rudd MA, 2014, BIOSCIENCE, V64, P219, DOI 10.1093/biosci/bit035
   Rudd MA, 2013, MAR POLICY, V39, P101, DOI 10.1016/j.marpol.2012.09.004
   Sjoberg L., 2000, J RISK RES, V3, P353, DOI DOI 10.1080/13669870050132568
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smith JB, 2009, P NATL ACAD SCI USA, V106, P4133, DOI 10.1073/pnas.0812355106
   Stevanovic M, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501452
   Thieken AH, 2007, HYDROLOG SCI J, V52, P1016, DOI 10.1623/hysj.52.5.1016
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Yoshida K, 2017, GEOPHYS RES LETT, V44, P9910, DOI 10.1002/2017GL075058
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
NR 50
TC 12
Z9 12
U1 3
U2 39
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD JAN
PY 2019
VL 14
IS 1
BP 131
EP 138
DI 10.1007/s11625-018-0640-8
PG 8
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA HJ2ED
UT WOS:000456977800010
DA 2025-01-10
ER

PT J
AU Davison, JE
   Coe, S
   Finch, D
   Rowland, E
   Friggens, M
   Graumlich, LJ
AF Davison, Jennifer E.
   Coe, Sharon
   Finch, Deborah
   Rowland, Erika
   Friggens, Megan
   Graumlich, Lisa J.
TI Bringing indices of species vulnerability to climate change into
   geographic space: an assessment across the Coronado national forest
SO BIODIVERSITY AND CONSERVATION
LA English
DT Article
DE Biodiversity; Climate change adaptation; GIS; Land use planning; Species
   vulnerability assessments
ID REGRESSION-ANALYSIS; FRAMEWORK
AB Indices that rate the vulnerability of species to climate change in a given area are increasingly used to inform conservation and climate change adaptation strategies. These species vulnerability indices (SVI) are not commonly associated with landscape features that may affect local-scale vulnerability. To do so would increase their utility by allowing managers to examine how the distributions of vulnerable species coincide with environmental features such as topography and land use, and to detect landscape-scale patterns of vulnerability across species. In this study we evaluated 15 animal species that had been scored with the USDA-Forest Service Rocky Mountain Research Station's system for assessing vulnerability of species to climate change. We applied the vulnerability scores to each species' respective habitat models in order to visualize the spatial patterns of cross-species vulnerability across the biologically diverse Coronado national forest, and to identify the considerations of spatially referencing such indices. Across the study extent, cross-species vulnerability was higher in higher-elevation woodlands and lower in desert scrub. The results of spatially referencing SVI scores may vary according to the species examined, the area of interest, the selection of habitat models, and the method by which cross-species vulnerability indices are created. We show that it is simple and constructive to bring species vulnerability indices into geographic space: landscape-scale patterns of vulnerability can be detected, and relevant ecological and socioeconomic contexts can be taken into account, allowing for more robust conservation and management strategies.
C1 [Davison, Jennifer E.; Coe, Sharon; Rowland, Erika; Graumlich, Lisa J.] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85721 USA.
   [Coe, Sharon; Finch, Deborah; Friggens, Megan] US Forest Serv, USDA, Rocky Mt Res Stn, Albuquerque, NM 87102 USA.
C3 University of Arizona; United States Department of Agriculture (USDA);
   United States Forest Service
RP Davison, JE (corresponding author), Univ Washington, Coll Environm, Seattle, WA 98195 USA.
EM jnfrdvsn@u.washington.edu
RI Graumlich, Lisa/A-1421-2012; Finch, Deborah/H-2876-2015
OI Friggens, Megan/0000-0002-7462-4743; Finch, Deborah/0000-0001-9118-7381
CR [Anonymous], RMRSGTR30 USDA FOR S
   [Anonymous], 2010, MATLAB. version 2010a
   [Anonymous], GUIDELINES USING NAT
   [Anonymous], ARCGIS WORKSTATION V
   [Anonymous], JMP VERSION 9 0 SOFT
   [Anonymous], SWREGAP AN HAB MOD L
   [Anonymous], 2006, National Elevation Dataset
   [Anonymous], SOUTWEST REGIONAL GA
   [Anonymous], AR NAT HER PROGR SPE
   [Anonymous], COR NAT FOR GIS DAT
   [Anonymous], NAT MAP LANDFIRE LAN
   [Anonymous], PAC COAST AVIFAUNA
   Bagne K.E., 2011, General Technical Report RMRS-GTR-257
   Beale CM, 2010, ECOL LETT, V13, P246, DOI 10.1111/j.1461-0248.2009.01422.x
   Boykin K.G., 2007, Southwest Regional Gap Analysis Final Report
   Davison JE, 2011, GLOBAL ECOL BIOGEOGR, V20, P101, DOI 10.1111/j.1466-8238.2010.00571.x
   FARRAR DE, 1967, REV ECON STAT, V49, P92, DOI 10.2307/1937887
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Lowry J, 2007, REMOTE SENS ENVIRON, V108, P59, DOI 10.1016/j.rse.2006.11.008
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   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]
   Rowland EL, 2011, ENVIRON MANAGE, V47, P322, DOI 10.1007/s00267-010-9608-x
   Salazar Ken., 2009, Addressing the impacts of climate change on America's land, water, and other natural and cultural resources
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   Thuiller W, 2008, PERSPECT PLANT ECOL, V9, P137, DOI 10.1016/j.ppees.2007.09.004
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
NR 30
TC 18
Z9 21
U1 1
U2 45
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0960-3115
EI 1572-9710
J9 BIODIVERS CONSERV
JI Biodivers. Conserv.
PD JAN
PY 2012
VL 21
IS 1
BP 189
EP 204
DI 10.1007/s10531-011-0175-0
PG 16
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 863TD
UT WOS:000298190000013
DA 2025-01-10
ER

PT C
AU Adebayo, AA
AF Adebayo, Adedayo Abimbola
BE Brandeis, A
TI Main Title: Environment, Ecosystem and Climate Change Title: Urban
   Transformation of Coastal Cities-Case Study of the Eko Atlantic
   Shoreline Protection and Reclamation Project
SO PROCEEDINGS OF THE 50TH ISOCARP CONGRESS: URBAN TRANSFORMATIONS: CITIES
   AND WATER
LA English
DT Proceedings Paper
CT 50th ISOCARP Congress
CY SEP 23-26, 2014
CL Gdynia, POLAND
SP ISOCARP
AB This paper examines how the land reclamation and development of the Eko Atlantic Shoreline Protection and Reclamation Project affect communities on the Lagos coastline. It suggests mitigating tools as a re-vitalization planning strategy to preserve, manage and protect the Lagos coastline beaches that have become endangered. The controversial Eko Atlantic project which is portrayed by Lagos State Government (LASG) and developers as a model of sustainability, climate change adaptation and economic growth, is an example for the difficult process of reconciling the three conflicting interests of protecting the environment, promoting economic development and striving for social justice for all.
C1 Fed Polytech, Ado Ekiti, Nigeria.
RP Adebayo, AA (corresponding author), Fed Polytech, Ado Ekiti, Nigeria.
RI ADEBAYO, ADEYINKA/T-7130-2017
CR Adelakun Ibidun O., 2009, 5 URB RES S MARS FRA
   Amadi Ako, 2013, OPINION PAPERS
   Asangwe C.K, 2006, CAMEROON ENV ISSUES
   Atlantic Eko, 2013, INV EKO ATL
   French Gregory T., 2011, J COASTAL RES, V14, P224
   Hoyng M., 2012, JUBILEE C P
   Ilesanmi A.O., 2010, Journal of Geography and Regional Planning, V3, P240
   Natenzon C.E., 2009, 5 URB RES S CIT CLIM, P80
   National Population Commission of Nigeria, 2006, POP LOC GOV AR LGAS
   Okorodudu-Fubara M, 2013, OPINION PAPERS
   Okude A.S., 2006, American-Eurasian Journal of Scientific Research, V1, P31
   Royal Haskoning, ENV SOC IMP ASS EK A
   Tolu Ogunlesi, 2012, MAMM NEW DEV COAST L
   United Nations (UN)-Habitat, 2010, EXPERT WORKSHOP
   Zhang Q., 2008, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, VXXXVII
NR 15
TC 0
Z9 0
U1 0
U2 7
PU ISOCARP
PI HAGUE
PA PO BOX 983, HAGUE, 2501 CZ, NETHERLANDS
BN 978-94-90354-30-5
PY 2014
BP 1010
EP 1021
PG 12
WC Environmental Studies; Urban Studies
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology; Urban Studies
GA BD3RI
UT WOS:000360101000083
DA 2025-01-10
ER

PT J
AU Fitton, JM
   Lehmann, M
   Major, DC
AF Fitton, James M.
   Lehmann, Martin
   Major, David C.
TI Identifying coastal towns and small cities in Denmark using global
   population data to support climate change adaptation
SO INTERNATIONAL JOURNAL OF DIGITAL EARTH
LA English
DT Article
DE Climate change adaptation; global data; coastal hazards; Denmark; small
   urban areas
AB Coastal settlements face many hazards from climate change. Consequently, there has been extensive focus on developing and implementing adaptation. However, these efforts have prodominantly centred on larger cities. Coastal towns and small cities (urban areas between 1000 and 100,000 people) have received little attention, despite experiencing a number of barriers to adaptation. The absence of information on the global scale of the adaptation challenge within coastal towns and small cities may have contributed to these settlements being overlooked. This paper develops a method that can be used to estimate the numbers, sizes, and locations of coastal towns and small cities worldwide from global population data (Global Human Settlement data). Denmark is used as a pilot for this method with settlements over 1000 people classified with relatively high accuracy. The method developed here represents a potentially fruitful approach to supporting coastal adaptation, as coastal towns and small cities are identifiable globally, they can be classified into types. This will support an assessment of their risk to coastal hazards, and could facilitate knowledge and practice sharing between similar coastal towns and small cities.
C1 [Fitton, James M.; Lehmann, Martin] Aalborg Univ, Dept Planning, Rendsburggade 14, DK-9000 Aalborg, Denmark.
   [Major, David C.] Columbia Univ, Earth Inst, New York, NY USA.
C3 Aalborg University; Columbia University
RP Fitton, JM (corresponding author), Aalborg Univ, Dept Planning, Rendsburggade 14, DK-9000 Aalborg, Denmark.
EM james@plan.aau.dk
RI Fitton, James/H-7514-2019
OI Fitton, James/0000-0002-9367-2038; Lehmann, Martin/0000-0003-2089-4550
CR [Anonymous], 2000, Eos Trans. Am. Geophysical Union, DOI [DOI 10.1029/00EO00034, 10.1029/00EO00034]
   [Anonymous], 2017, ArcGIS Desktop: Release 10
   [Anonymous], GRIDD POP WORLD GPW
   Boak EH, 2005, J COASTAL RES, V21, P688, DOI 10.2112/03-0071.1
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Center for International Earth Science Information Network (CIESIN) Columbia University International Food Policy Research Institute (IFPRI) The World Bank Centro Internacional de Agricultura Tropical (CIAT), 2004, GLOB RUR URB MAPP PR
   City of Copenhagen, 2011, COP CLIM AD PLAN
   City of NewYork, 2013, STRONG MOR RES NEW Y, P445
   Danmark Statistik, 2015, BYOPG
   Eea, 2019, EEA COASTL AN
   ESRI, 2017, REG GROUP
   ESRI, 2017, EXTR VAL POINTS
   ESRI, 2017, EL
   ESRI, 2017, EUCL DIST
   Freire S, 2015, INT GEOSCI REMOTE SE, P2541, DOI 10.1109/IGARSS.2015.7326329
   Goldewijk KK, 2010, HOLOCENE, V20, P565, DOI 10.1177/0959683609356587
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Grinsted A, 2015, REG CLIM STUD, P253, DOI 10.1007/978-3-319-16006-1_14
   Kappel V., 2010, DANMARKS KYSTER
   Kummu M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034010
   Major DC, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000356
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   MiljOministeriet Kort & Matrikelstyrelsen, 2014, DANM HOJD 2007
   Mondal P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048191
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Olesen M., 2014, FREMTIDIGE KLIMAFORA
   OpenStreetMap Contributors, 2018, OPENSTREETMAP DENM
   Oppenheimer M., 2014, CLIMATE CHANGE 201 A, DOI DOI 10.1017/CB09781107415379
   Russell P., 2013, MCCIP SCI REV, V1
   Small C, 2003, J COASTAL RES, V19, P584
   Sorensen P., 2013, COASTAL EROSION PROT, P96
   Statistics Denmark, 2017, POP DENM 2017Q4
   Tatem AJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.4
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Werner AD, 2012, GROUND WATER, V50, P48, DOI 10.1111/j.1745-6584.2011.00817.x
   Zhang KQ, 2004, CLIMATIC CHANGE, V64, P41, DOI 10.1023/B:CLIM.0000024690.32682.48
NR 36
TC 5
Z9 5
U1 1
U2 15
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1753-8947
EI 1753-8955
J9 INT J DIGIT EARTH
JI Int. J. Digit. Earth
PD SEP 1
PY 2020
VL 13
IS 9
BP 1040
EP 1054
DI 10.1080/17538947.2019.1642403
EA JUL 2019
PG 15
WC Geography, Physical; Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Remote Sensing
GA MX7XG
UT WOS:000477203300001
OA Green Submitted
DA 2025-01-10
ER

PT S
AU Pulliat, G
AF Pulliat, Gwenn
BE Daniere, AG
   Garschagen, M
TI The Implementation Gap: Environmental Rhetoric Versus Reality in Lao
   Cai, Vietnam
SO URBAN CLIMATE RESILIENCE IN SOUTHEAST ASIA
SE Urban Book Series
LA English
DT Article; Book Chapter
DE Climate change adaptation policies; Environmental governance; Land use
   management; Urban planning; Population displacement; Vietnam
ID CLIMATE-CHANGE; CHINA; LIVELIHOODS; ADAPTATION; GUANGZHOU; CITIES; HMONG
AB This study draws upon a case study of Lao Cai, a province recognized as one of the most important ecological regions in Vietnam, but also one of the most vulnerable to climate hazards. The province has recently adopted an action plan for climate change adaptation. However, the national authorities intend to promote Lao Cai as a major secondary city on the main route from China to Hanoi. In a context of rapid, strategic, state-driven urban development, I identify three main obstacles to effective implementation of environmental and climate change policies: (1) the pre-eminence of economic growth over any environmental goal, (2) the underenforcement of existing regulations, and (3) a failure of environmental governance. Environmental risk management is mainly based on the reinforcement of defensive infrastructures (such as the river embankment) and the displacement of exposed people. These actions are likely inefficient in a context of increased major hazards that might put great pressure on displaced residents' livelihoods. In other words, there is a wide gap between discourse and implementation.
C1 [Pulliat, Gwenn] Univ Montpellier 3, UMR Art Dev, French Natl Ctr Sci Res, CNRS, Route Mende, F-34199 Montpellier 5, France.
   [Pulliat, Gwenn] Univ Toronto, Munk Sch Global Affairs, Asian Inst, Urban Climate Resilience Southeast Asia Partnersh, 1 Devonshire Pl, Toronto, ON M5S 3K7, Canada.
C3 CIRAD; Centre National de la Recherche Scientifique (CNRS); Universite
   Paul-Valery; Universite Perpignan Via Domitia; Universite de
   Montpellier; University of Toronto
RP Pulliat, G (corresponding author), Univ Montpellier 3, UMR Art Dev, French Natl Ctr Sci Res, CNRS, Route Mende, F-34199 Montpellier 5, France.
EM gwenn.pulliat@cnrs.fr
RI Pulliat, Gwenn/HMP-5282-2023
OI Pulliat, Gwenn/0000-0003-2649-5614
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Amin A, 1997, T I BRIT GEOGR, V22, P411, DOI 10.1111/j.0020-2754.1997.00411.x
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 2009, EEPSEA Special and Technical Paper tp200901-1
   Asif F, 2017, J RENEW SUSTAIN ENER, V9, DOI 10.1063/1.4978495
   Belanger, 2012, REINVENTION DISTINCT, DOI [10.1007/978-94-007-2306-1, DOI 10.1007/978-94-007-2306-1]
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   CHAN HS, 1995, PUBLIC ADMIN REV, V55, P333, DOI 10.2307/977124
   Danielsen F, 2010, J APPL ECOL, V47, P1166, DOI 10.1111/j.1365-2664.2010.01874.x
   de Oliveira JAP, 2013, J CLEAN PROD, V58, P7, DOI 10.1016/j.jclepro.2013.08.009
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Evers Hans-Dieter., 2000, SE ASIAN URBANISM ME
   Government of Vietnam, 2011, NAT STRAT CLIM CHANG
   Hansen K., 2013, LAND LAW LAND RIGHTS
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Hutt D, 2017, THE DIPLOMAT 0322
   ICLEI, 2017, RES CIT REP 2017 TRA
   Jones G.W., 1982, Population Resettlement Programmes in Southeast Asia, P113
   Kervliet BenedictJ. Tria., 2003, POSTWAR VIETNAM DYNA, P27
   Labbé D, 2016, CITIES, V53, P150, DOI 10.1016/j.cities.2015.11.003
   Labbé D, 2014, URBAN STUD, V51, P1146, DOI 10.1177/0042098013495574
   Lao Cai core working group of M-BRACE project, 2014, CLIM ACT PLAN LAO CA
   Leaf M, 2011, PAC AFF, V84, P525, DOI 10.5509/2011843525
   Lo CWH, 2000, CHINA QUART, P677
   Mitchell CL, 2019, CLIM DEV, V11, P60, DOI 10.1080/17565529.2017.1411243
   Mol APJ, 2009, SINGAPORE J TROP GEO, V30, P114, DOI 10.1111/j.1467-9493.2008.00358.x
   Moser S, 2010, CITIES, V27, P285, DOI 10.1016/j.cities.2009.11.002
   Phuc NQ, 2014, HABITAT INT, V41, P1, DOI 10.1016/j.habitatint.2013.06.004
   Nhan D, 2017, TROPICAL LOW DEPRESS
   Ortmann Stephan., 2017, Environmental Governance in Vietnam: Institutional Reforms and Failures, DOI 10.1007/978-3-319-49760-0
   Rimmer PJ., 2009, The City in Southeast Asia: Patterns, Processes and Policy
   Roberts B, 2014, CIVIS SERIES
   Robinson Jennifer., 2006, Ordinary Cities: Between Modernity and Development
   Roche Y., 2002, VERTIGO, V3, DOI [10.4000/vertigo.4113, DOI 10.4000/VERTIGO.4113]
   Ryan D, 2015, CLIMATIC CHANGE, V131, P519, DOI 10.1007/s10584-015-1402-6
   Saavedra C, 2009, HABITAT INT, V33, P246, DOI 10.1016/j.habitatint.2008.10.004
   Schneider A, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/2/024008
   Thayer C.A., 2009, CONTEMP SE ASIA, V31, P1, DOI [10.1355/CS31-1A., DOI 10.1355/CS31-1A]
   Tong YQ, 2007, CHINA QUART, P100, DOI 10.1017/S0305741006000828
   Trincsi K, 2014, LAND USE POLICY, V41, P484, DOI 10.1016/j.landusepol.2014.06.022
   Turner S, 2012, PROF GEOGR, V64, P540, DOI 10.1080/00330124.2011.611438
   Turner S, 2012, ANN ASSOC AM GEOGR, V102, P403, DOI 10.1080/00045608.2011.596392
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Viet Nam News, 2017, VIETNAMNEWS 1230
   Viet Nam News, 2016, VIET NAM NEWS
   Viet NamNews, 2017, VIET NAM NEWS 0928
   Womack B, 2006, CHINA AND VIETNAM: THE POLITICS OF ASYMMETRY, P1, DOI 10.2277/ 0521618347
   Wong J, 2003, ASIAN SURV, V43, P507, DOI 10.1525/as.2003.43.3.507
NR 50
TC 2
Z9 2
U1 0
U2 4
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2365-757X
EI 2365-7588
BN 978-3-319-98968-6; 978-3-319-98967-9
J9 URBAN BOOK SERIES
PY 2019
BP 201
EP 222
DI 10.1007/978-3-319-98968-6_10
D2 10.1007/978-3-319-98968-6
PG 22
WC Environmental Studies; Geography; Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Geography; Urban Studies
GA BQ9GS
UT WOS:000624512100011
DA 2025-01-10
ER

PT J
AU Costa, JP
   de Sousa, JF
   Silva, MM
   Nouri, AS
AF Costa, Joao Pedro
   de Sousa, Joao Figueira
   Matos Silva, Maria
   Nouri, Andre Santos
TI Climate change adaptation and urbanism: A developing agenda for Lisbon
   within the twenty-first century
SO URBAN DESIGN INTERNATIONAL
LA English
DT Article
DE urbanism; climate change adaptation; flooding; 'what if?' scenarios;
   tipping points; waterfronts
AB Divided by interdisciplinary realms of application, both climate change and urbanism are ultimately bound together by cause-and-effect in our ever mutable cities. Although suggested that cities are changing faster than Mankind have been able to adjust out thinking, the yearly dissemination scientific data on climatic change is continually improving the efficiency of urbanism to tackle new looming paradigms. Respectively, it is considered that urbanism encounters its greatest opportunities in this uncertain 'third modernity', where flexible approaches such as 'what if?' scenarios allow urbanism to continuously uphold the ever evolving identity and continuum within eventful horizons. This collaboration between these two interrelating realms of contemporary practice is currently being applied upon the case of Lisbon, where regional and local climate change scenarios are assessed in terms of their potential territorial impacts. This originated the opportunity to evaluate how the city components and functioning within its waterfronts shall be affected by climate change. Resultantly, and embedded within its niche, urbanism presents a new creative laboratory where flexible and innovative urban adaptation strategies can be developed to counter-act the impending impacts upon Lisbon within the XXI century.
C1 [Costa, Joao Pedro; Nouri, Andre Santos] Univ Lisbon, Polo Univ, P-1349055 Lisbon, Portugal.
   [de Sousa, Joao Figueira] Univ Nova Lisboa, P-1069061 Lisbon, Portugal.
   [Matos Silva, Maria] Univ Barcelona, E-08028 Barcelona, Spain.
C3 Universidade de Lisboa; Universidade Nova de Lisboa; University of
   Barcelona
RP Costa, JP (corresponding author), Univ Lisbon, Polo Univ, Rua Sa Nogueira, P-1349055 Lisbon, Portugal.
RI Santos Nouri, A/AFK-0632-2022; Costa, João Pedro/HTM-1538-2023; Matos
   Silva, Maria/J-8217-2016
OI Costa, Joao Pedro/0000-0002-6069-7052; Matos Silva,
   Maria/0000-0003-4608-3975; Santos Nouri, A/0000-0001-8084-3339
CR Alcoforado Maria Joao., 2009, Alteracoes Climaticas e Desenvolvimento Urbano, Serie Politica de Cidades 4, Direccao-Geral do ordenamento do Territorio e Desenvolvimento Urbano
   ANDRADE C., 2006, Alteracoes climaticas em Portugal. Cenarios, P169
   [Anonymous], GOT00093OFI2009 ARH
   [Anonymous], CHANGE MAGAZINE
   [Anonymous], TE2100 PLAN CONS DOC
   [Anonymous], PALCOS ARQUITECTURA
   [Anonymous], 2009, CLIM RISK INF
   [Anonymous], CIDADE ENTRE DESENHO
   [Anonymous], GOT00005OFI2009 ARH
   [Anonymous], NASA AL QUE SUB NIV
   [Anonymous], FACING RISING SEA LE
   [Anonymous], ESPACO LIMITE PRODUC
   [Anonymous], PLANO ESTRATEGICO CA
   [Anonymous], 7 C NAC CART GEOD PO
   [Anonymous], CLIM ACT TEAM BIENN
   [Anonymous], PLAN DIR MUN LISB RE
   [Anonymous], 2008, Wilfried Ten Brinke, P138
   [Anonymous], 2007, The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
   [Anonymous], NEW URBAN C IN PRESS
   [Anonymous], 2022, Climate change 2022: Impacts, Adaptation and Vulnerability
   [Anonymous], TAB MAR
   [Anonymous], FINISTERRA
   [Anonymous], 8 C AG FIG FOZ APRH
   [Anonymous], N CAR SEA LEV RIS AS
   [Anonymous], POLITICAS URBANA TEN
   ASCHER Francois., 2010, Novos Principios do Urbanismo seguido de Novos Compromissos Urbanos, V2a
   Bourdin A., 2010, O Urbanismo depois da crise"
   Choay Francoise., 1972, Le Sens de la ville
   Couzin J, 2008, SCIENCE, V319, P748, DOI 10.1126/science.319.5864.748
   Defra, 2006, FLOOD COAST DEF APPR, P9
   Hansen JE, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/2/024002
   Hansen J.E., 2012, Paleoclimate Implications for Human-Made Climate Change, P21, DOI DOI 10.1007/978-3-7091-0973-1_2
   Kjellström E, 2011, TELLUS A, V63, P24, DOI 10.1111/j.1600-0870.2010.00475.x
   MERLIN Pierre., 2002, L'Amenagement du Territoire
   Meyer Han., 2010, DELTA URBANISM NETHE
   Nordenson G., 2010, On the Water: Palisade Bay
   Olshansky R.B., 2010, Clear as mud: Planning for the rebuilding of New Orleans
   Olthuis Koen., 2010, FLOAT BUILDING WATER
   Pascual iEsteve., 1999, ESTRATEGIA CIUDADES
   Pfeffer WT, 2008, SCIENCE, V321, P1340, DOI 10.1126/science.1159099
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Russell JamesS., 2011, The Agile City, Building Well-being and Wealth in an era of Climate Change
   Santos F.D., 2006, Alteracoes Climaticas em Portugal Cenarios, Impactos e Medidas de Adaptacao - Proiecto SIAM II
   Santos F.D., 2002, CLIMATE CHANGE PORTU
   [Santos F.D. PECAC PECAC], 2010, Plano Estrategico de Cascais face as Alteracoes Climaticas
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Vellinga P., 2009, Exploring high-end climate change scenarios for flood protection of the Netherlands
   Wang C.M., 2008, VERY LARGE FLOATING, Vfirst
NR 49
TC 12
Z9 15
U1 0
U2 33
PU PALGRAVE MACMILLAN LTD
PI BASINGSTOKE
PA BRUNEL RD BLDG, HOUNDMILLS, BASINGSTOKE RG21 6XS, HANTS, ENGLAND
SN 1357-5317
EI 1468-4519
J9 URBAN DES INT
JI Urban Des. Int.
PD SPR
PY 2014
VL 19
IS 1
BP 77
EP 91
DI 10.1057/udi.2013.15
PG 15
WC Architecture; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Public Administration; Urban Studies
GA 298ZI
UT WOS:000330363300006
OA Green Published, hybrid
DA 2025-01-10
ER

PT C
AU Koomen, E
   Loonen, W
   Hilferink, M
AF Koomen, Eric
   Loonen, Willem
   Hilferink, Maarten
BE Bernard, L
   FiisChristensen, A
   Pundt, H
TI Climate-Change Adaptations in Land-Use Planning; A Scenario-Based
   Approach
SO EUROPEAN INFORMATION SOCIETY: TAKING GEOINFORMATION SCIENCE ONE STEP
   FURTHER
SE Lecture Notes in Geoinformation and Cartography
LA English
DT Proceedings Paper
CT 11th Annual Conference of the
   Association-of-Geographic-Information-Laboratories-for-Europe
CY 2008
CL Girona, SPAIN
SP Assoc Geograph Informat Lab Europe
DE climate change; land use modelling; spatial patterns; spatial planning
AB Socio-economic and climatic changes are expected to alter the current land-use patterns in the Netherlands. In order to study these uncertain developments and propose adaptation and mitigation strategies to cope with the possible changes in the physical and societal environment a set of future scenarios is developed. These scenarios integrate possible socio-economic and climatic changes and are used in the Land Use Scanner model to simulate future land-use patterns. Based on these simulations sector-specific adaptation and mitigation measures are developed in related research projects as will be described in this paper.
C1 [Koomen, Eric] Vrije Univ Amsterdam, Fac Econ & Business Adm, Boelelaan 1105, NL-1081 HV Amsterdam, Netherlands.
   [Koomen, Eric] Geodan next, NL-1079 MB Amsterdam, Netherlands.
   [Loonen, Willem] Netherlands Environm Assessment Agcy, NL-3720 BA Bilthoven, Netherlands.
   [Hilferink, Maarten] Vrije Univ Amsterdam, CIMO, Object Vision BV, NL-1081 HV Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam; Netherlands National Institute for Public
   Health & the Environment; Vrije Universiteit Amsterdam
RP Koomen, E (corresponding author), Vrije Univ Amsterdam, Fac Econ & Business Adm, Boelelaan 1105, NL-1081 HV Amsterdam, Netherlands.
EM ekoomen@feweb.vu.nl; willem.loonen@mnp.nl; mhilferink@objectvision.nl
RI Hilferink, Maarten/A-8933-2014
OI Koomen, Eric/0000-0002-0676-1252
CR *ABF RES, 2006, ACHT BEV
   [Anonymous], 200601 WR KNMI
   Beinat Euro., 1998, MULTICRITERIA ANAL L, V9
   BORSBOOMVANBEUR.JA, 2007, SIMULATING LAND USE
   BORSBOOMVANBEUR.JA, 2005, 550016003 RIVM
   *COMM WAT 21E EEUW, 2000, WAT 21STE EEUW GEEF
   *CPB, 2002, BLM OPZ REC AANP
   CPB MNP RPB, 2006, WELV LEEF ACHT
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   DEKKERS, 2006, DE ROL SEE TORALE IN
   Dekkers J, 2007, GEOJOURNAL LIB, V90, P355
   Engelen G, 2007, GEOJOURNAL LIB, V90, P297
   Helming J.F.M., 2005, THESIS WAGENINGEN U
   Hilferink M., 1999, J. Geogr. Syst, V1, P155, DOI [DOI 10.1007/S101090050010, 10.1007/s101090050010]
   Koomen E, 2005, TIJDSCHR ECON SOC GE, V96, P218, DOI 10.1111/j.1467-9663.2005.00452.x
   PARRY, 2000, ASSESSMENT POTENTIAL
   PARRY, 2000, GLOBAL ENVIRONMENTAL, V12, P149
   Schrijver Alexander, 2004, Combinatorial Optimization
   TOKUYAMA T, 1995, SIAM J COMPUT, V24, P563, DOI 10.1137/S0097539792236729
   VERBURG, 2007, MODELLING LANDUSE CH, P321
   Volgenant A, 1996, COMPUT OPER RES, V23, P917, DOI 10.1016/0305-0548(96)00010-X
   WATSON RT, 2006, LAND USE LAND USE CH
NR 22
TC 9
Z9 9
U1 0
U2 2
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1863-2246
EI 1863-2351
BN 978-3-540-78945-1
J9 LECT NOTES GEOINF CA
PY 2009
BP 261
EP +
PG 4
WC Computer Science, Interdisciplinary Applications; Geosciences,
   Multidisciplinary; Remote Sensing
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Geology; Remote Sensing
GA BLJ44
UT WOS:000270302500014
DA 2025-01-10
ER

PT B
AU Rubio, CI
AF Ignacio Rubio, C.
BE Klepp, S
   ChavezRodriguez, L
TI Tourism, environmental damage, and climate policy at the coast of
   Oaxaca, Mexico
SO CRITICAL APPROACH TO CLIMATE CHANGE ADAPTATION: DISCOURSES, POLICIES,
   AND PRACTICES
SE Routledge Advances in Climate Change Research
LA English
DT Article; Book Chapter
ID VULNERABILITY
AB Tourism is a human activity sensitive to climate. This chapter provides a brief description of some of the problems that underlie tourism development in one particular town - Zipolite - a small town on the coast of Oaxaca, Mexico. Discussion focuses on how climate change adaptation policies portray and evaluate the environmental risks that jeopardise tourism development and create environmental fragility and damage. The chapter provides insight into these critical issues and shows that the expansion of political economies based on massive investment in infrastructure can involve marginalisation of local communities from development.
C1 [Ignacio Rubio, C.] Univ Nacl Autonoma Mexico, Sch Social & Polit Sci, Mexico City, DF, Mexico.
   [Ignacio Rubio, C.] Mexican Natl Researchers Syst, Mexico City, DF, Mexico.
   [Ignacio Rubio, C.] Int Sociol Assoc Themat Grp 04, Mexico City, DF, Mexico.
C3 Universidad Nacional Autonoma de Mexico
RP Rubio, CI (corresponding author), Univ Nacl Autonoma Mexico, Sch Social & Polit Sci, Mexico City, DF, Mexico.; Rubio, CI (corresponding author), Mexican Natl Researchers Syst, Mexico City, DF, Mexico.; Rubio, CI (corresponding author), Int Sociol Assoc Themat Grp 04, Mexico City, DF, Mexico.
CR Anid, 2014, ESTUDIO VULNERABILID
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Blaikie P., 2003, RISK NATURAL HAZARDS
   Colucci AR, 2016, ROUTL STUD POLIT ECO, P149
   Ferguson J., 1994, Ecologist, V24, P176
   Fernandez A, 2012, ATLAS CLIMATICO CAMB
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   INEGI, 2010, CENS NAC POBL DAT LO
   Lash S., 1996, RISK ENV MODERNITY T
   Mansilla E, 2008, UN GLOBAL ASSESSMENT
   Mansilla E., 2013, SISTEMA INVENTARIO E
   Mostafanezhad M., 2016, Political Ecology of Tourism: Community, power and the environment, P1
   Painter M., 1995, The social causes of environmental destruction in Latin America
   PEET R, 1993, ECON GEOGR, V69, P227, DOI 10.2307/143449
   Peet R., 2004, LIBERATION ECOLOGIES, V2nd
   PELUSO NL, 1993, GLOBAL ENVIRON CHANG, V3, P199, DOI 10.1016/0959-3780(93)90006-7
   Puga T, 2017, EL UNIVERSAL ME 0620
   Ramos V., 2006, GUIA BASICA ELABORAR, P339
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Rubio I, 2014, IND TURISTICAS ESCEN
   Sectur, 2014, GUIA LOC ACC ALT IMP
   Stonich SC, 1998, ANN TOURISM RES, V25, P25, DOI 10.1016/S0160-7383(97)00037-6
   Talledos Sánchez Edgar, 2012, Rev. mex. cienc. polít. soc, V57, P119
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 25
TC 0
Z9 0
U1 0
U2 1
PU ROUTLEDGE
PI ABINGDON
PA 2 PARK SQ, MILTON PARK, ABINGDON OX14 4RN, OXFORD, ENGLAND
BN 978-1-315-16544-8; 978-1-138-05629-9
J9 ROUT ADV CLIMATE
PY 2018
BP 97
EP +
PG 17
WC Green & Sustainable Science & Technology; Environmental Studies; Social
   Sciences, Interdisciplinary
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Social Sciences - Other Topics
GA BL6RW
UT WOS:000454655200005
DA 2025-01-10
ER

PT B
AU Ulloa, A
AF Ulloa, Astrid
BE Klepp, S
   ChavezRodriguez, L
TI Reconfiguring climate change adaptation policy Indigenous peoples'
   strategies and policies for managing environmental transformations in
   Colombia
SO CRITICAL APPROACH TO CLIMATE CHANGE ADAPTATION: DISCOURSES, POLICIES,
   AND PRACTICES
SE Routledge Advances in Climate Change Research
LA English
DT Article; Book Chapter
AB This chapter analyses conceptual discussions about 'adaptation' as a strategy for responding to climate change. The analysis indicates a wide range of interpretations on its meaning and scope. It highlights the political dimension of adaptation strategies, due to the inequalities that are generated, both in access and in their implementation in diverse cultural contexts. It starts from the idea that the culturally given causes and answers respond to conceptions about the non-human. The analysis is based on the results of work carried out in indigenous contexts in Colombia.
C1 [Ulloa, Astrid] Univ Nacl Colombia, Dept Geog, Bogota, Colombia.
C3 Universidad Nacional de Colombia
RP Ulloa, A (corresponding author), Univ Nacl Colombia, Dept Geog, Bogota, Colombia.
CR [Anonymous], 2003, FIT POSTFORDISMUS TH
   Dietz K., 2013, CULTURAS CONOCIMIENT, P19
   DNP, 2012, PLAN NAC AD CAMB CLI
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Escobar A, 2015, DESENVOLV MEIO AMBIE, V35, P89
   Gorg C., 2004, KRITISCHE THEORIE GE, P199
   Gorg Christoph., 1998, Konfliktfeld Natur, P39
   Head L, 2010, PROG HUM GEOG, V34, P234, DOI 10.1177/0309132509338978
   Henao Clara Ines, 2013, CULTURAS CONOCIMIENT, P317
   Liverman D., 2015, The Routledge Handbook of Political Ecology, P303, DOI DOI 10.4324/9781315759289-29
   Mignolo Walter., 2003, HISTORIAS LOCALESDIS
   Puenayan Z., 2013, CULTURAS CONOCIMIENT, P273
   RUDNEV V, 1997, ANTROPOLOGA CLIMA MU, P27
   Santos B.d., 2010, Descolonizar el saber, reinventar el poder
   Santos Boaventura de Sousa., 2006, Renovar la Teoria Critica y reinventar la emancipacion social (encuentros en Buenos Aires), P13
   Ulloa A., 2011, MULTICULTURALISME CO, P361
   Ulloa A., 2011, PERSPECTIVAS CULTURA, P477
   Ulloa A., 2011, Latin American and Caribbean Ethnic Studies, V6, P79, DOI [https://doi.org/10.1080/17442222.2011.543874, DOI 10.1080/17442222.2011.543874]
   Ulloa A, 2017, S ATL Q, V116, P111, DOI 10.1215/00382876-3749359
   Watts M.J., 2015, ROUTLEDGE HDB POLITI, P19
NR 20
TC 5
Z9 5
U1 0
U2 2
PU ROUTLEDGE
PI ABINGDON
PA 2 PARK SQ, MILTON PARK, ABINGDON OX14 4RN, OXFORD, ENGLAND
BN 978-1-315-16544-8; 978-1-138-05629-9
J9 ROUT ADV CLIMATE
PY 2018
BP 222
EP +
PG 17
WC Green & Sustainable Science & Technology; Environmental Studies; Social
   Sciences, Interdisciplinary
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Social Sciences - Other Topics
GA BL6RW
UT WOS:000454655200012
DA 2025-01-10
ER

PT C
AU Zenchanka, S
AF Zenchanka, Siarhei
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI Programmes of the Republic of Belarus on Climate Change Adaptation:
   Goals and Results
SO IMPLEMENTING CLIMATE CHANGE ADAPTATION IN CITIES AND COMMUNITIES:
   INTEGRATING STRATEGIES AND EDUCATIONAL APPROACHES
SE Climate Change Management
LA English
DT Proceedings Paper
CT World Symposium on Climate Change Adaptation
CY SEP 02-04, 2015
CL Manchester, ENGLAND
DE Climate change; Adaptation; State program; Strategy
AB Having joined to the UNFCCC and the Kyoto Protocol the Republic of Belarus has developed its own programs of Climate Change Adaptation.
   The first one, that is, "National program of measures to mitigate the effects of climate change", was adopted for the period of 2008-2012 years. As a result some environmental laws were adopted, different environmental projects were realized. During this period the Republic of Belarus fulfilled its obligations under the Kyoto Protocol, that is, GHG emission was reduced by a third with the increase in GDP by a factor of 2 as compared to 1990. At the same time in the process of discussion on prolongation of the Kyoto Protocol the Republic of Belarus together with Russia refused to take part in the second commitment period.
   A new "State program of measures to mitigate the effects of climate change (2013-2020)" adopted in 2013 is also analyzed in this article. The goals of this program are the fulfillment of international obligations of the Republic of Belarus on the UNFCCC and the Kyoto Protocol, the implementation of measures aimed at mitigating the effects of climate change for ensuring the sustainable development of the economy, reducing greenhouse gases (GHG) emissions in order to decrease the rate and magnitude of climate change.
   As a result GHG emission should be decreased by 8 % to the level of 1990, energy intensity of GDP should be decreased by 50 % in 2015 and by 60 % in 2020 to the level of 2005.
C1 [Zenchanka, Siarhei] Moscow State Univ Econ Stat & Informat, Minsk Branch, Mayakovskogo Str 127,Build 2, Minsk 220028, BELARUS.
C3 Plekhanov Russian University of Economics
RP Zenchanka, S (corresponding author), Moscow State Univ Econ Stat & Informat, Minsk Branch, Mayakovskogo Str 127,Build 2, Minsk 220028, BELARUS.
EM szenchenko@mesi.ru
CR [Anonymous], 1987, Our common future: the report of the World Commission on Environment and Development
   [Anonymous], 2012, Doha Climate Gateway
   Climate Change Performance Index (CCPI), 2015, CLIM CHANG PERF IND
   Climate Change Performance Index (CCPI), 2014, CLIM CHANG PERF IND
   Communication, 2015, 6 NAT COMM REP BEL
   Ecoproject, 2005, CLIM CHANG ITS CONS
   Minenergo, 2015, BEL EN MIN WOULD CUT
   Plan, 2006, NAT ACT PLAN RAT US
   Program, 2013, STATE PROGRAM MEASUR
   Program, 2005, STATE PROGRAM RURAL
   Program, 2011, NATL PROGRAM DEV LOC
   Program, 2010, STATE PROGRAM DEV FO
   Report, 2009, STRATEGIC ESTIMATION
   Report, 2012, SUST DEV REP BEL BAS
   STONE Scott J., 2006, Sustainable Development Law Policy, V6, issue, P45
NR 15
TC 0
Z9 0
U1 0
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 179
EP 189
DI 10.1007/978-3-319-28591-7_9
PG 11
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:000390838100009
DA 2025-01-10
ER

PT J
AU Butnor, JR
   Wilson, CP
   Bakir, M
   D'Amato, AW
   Flower, CE
   Hansen, CF
   Keller, SR
   Knight, KS
   Murakami, PF
AF Butnor, John R.
   Wilson, Cornelia Pinchot
   Bakir, Melike
   D'Amato, Anthony W.
   Flower, Charles E.
   Hansen, Christopher F.
   Keller, Stephen R.
   Knight, Kathleen S.
   Murakami, Paula F.
TI Cold Tolerance Assay Reveals Evidence of Climate Adaptation Among
   American Elm (<i>Ulmus americana</i> L.) Genotypes
SO FORESTS
LA English
DT Article
DE relative electrolyte leakage; cold hardiness; cold tolerance; American
   elm; Dutch elm disease; winter injury; freezing injury; acclimation;
   de-acclimation; mid-winter
ID RESTORATION; CHESTNUT; GROWTH
AB The American elm (Ulmus americana L.), once a dominant species in North American floodplain forests, has suffered significant population declines due to Dutch elm disease (DED). Despite this, some elms persist, potentially exhibiting disease resistance and climate-adaptive traits that could facilitate restoration. Understanding these traits is crucial for selecting genotypes suited to current and future climatic conditions, particularly in colder regions. This study evaluated the mid-winter cold tolerance of American elm genotypes across a climatic gradient to ascertain evidence of local climate adaptation. We used relative electrolyte leakage (REL) to assess mid-winter cold tolerance of current-year shoots on eleven survivor genotypes from New England and one susceptible, control genotype from Ohio. The lethal temperature, at which 50% of cellular leakage occurs (LT50), was determined and compared with 30-year climate data to identify potential climate adaptation. Genotypes from colder regions exhibited greater cold hardiness, indicating local adaptation to climate. Observed mid-winter LT50 values (-42.8 degrees C to -37.7 degrees C) were in excess of the 30-year minimum air temperature, even at the coldest source location. This calls into question whether mid-winter cold tolerance is the critical period for injury to American elm and more attention should be given to environmental conditions that cause de-acclimation to cold. By understanding the adaptive capacity of American elm, managers can better select mother trees for regional seed orchards, ensuring the long-term success of restoration initiatives.
C1 [Butnor, John R.; Murakami, Paula F.] USDA Forest Serv, Northern Res Stn, 81 Carrigan Dr, Burlington, VT 05405 USA.
   [Wilson, Cornelia Pinchot; Flower, Charles E.; Knight, Kathleen S.] USDA Forest Serv, Northern Res Stn, 359 Main Rd, Delaware, OH 43015 USA.
   [Bakir, Melike] Erciyes Univ, Fac Agr, Dept Agr Biotechnol, TR-38030 Kayseri, Turkiye.
   [D'Amato, Anthony W.; Hansen, Christopher F.] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT 05405 USA.
   [Keller, Stephen R.] UNIV VERMONT, COLL AGR & LIFE SCI, Dept Plant Biol, BURLINGTON, VT 05405 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service; Erciyes University; University of Vermont; University of
   Vermont
RP Butnor, JR (corresponding author), USDA Forest Serv, Northern Res Stn, 81 Carrigan Dr, Burlington, VT 05405 USA.
EM john.butnor@usda.gov; cornelia.wilson@usda.gov; melikecu@gmail.com;
   awdamato@uvm.edu; charles.e.flower@usda.gov; christopher.hansen@uvm.edu;
   stephen.keller@uvm.edu; kathleen.s.knight@usda.gov;
   paula.murakami@usda.gov
RI D'Amato, Anthony/AAV-3245-2021; Bakir, Melike/HGD-5506-2022; Keller,
   Stephen/J-6652-2013
OI Keller, Stephen/0000-0001-8887-9213
FU USDA Forest Service, Northern Research Station; Nature Conservancy;
   Manton Foundation
FX This research was supported by the USDA Forest Service, Northern
   Research Station with additional material and financial support from The
   Nature Conservancy and the Manton Foundation.
CR Bey C.F., 1990, SILVICS N AM VOL2 HA, V654, P801
   BRADSHAW A. D., 1965, ADVANCE GENET, V13, P115, DOI 10.1016/S0065-2660(08)60048-6
   BRASIER CM, 1991, MYCOPATHOLOGIA, V115, P151, DOI 10.1007/BF00462219
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Bucharova A, 2019, CONSERV GENET, V20, P7, DOI 10.1007/s10592-018-1067-6
   Butnor J., 2024, Zenodo, DOI [10.5281/zenodo.13774821, DOI 10.5281/ZENODO.13774821]
   Butnor JR, 2019, FOREST SCI, V65, P59, DOI 10.1093/forsci/fxy030
   Cheng ZM, 1997, J FOREST, V95, P24
   Green P.S., 1964, Arnoldia, V24, P41, DOI [10.5962/p.249479, DOI 10.5962/P.249479]
   Griffin Jason J., 2017, Arboriculture & Urban Forestry, V43, P107
   Guo XL, 2020, TREE PHYSIOL, V40, P1639, DOI 10.1093/treephys/tpaa096
   Gurney KM, 2011, RESTOR ECOL, V19, P55, DOI 10.1111/j.1526-100X.2009.00544.x
   Haugen L.M., 2017, Proceedings of the American Elm Restoration Workshop 2016, P109
   Havens K, 2015, NAT AREA J, V35, P122, DOI 10.3375/043.035.0116
   Humphrey C., 1913, J. Phytopathol, V3, P62
   Knight K.S., 2017, Proceedings of the American elm restoration workshop 2016; 2016 October 25-27; Lewis Center, P133
   Kovaleski A, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2112250119
   Kovaleski AP, 2021, PLANT METHODS, V17, DOI 10.1186/s13007-021-00755-0
   Lortie CJ, 2022, J ECOL, V110, P1015, DOI 10.1111/1365-2745.13664
   MARKS CO, 2017, US FOR SERV GEN TECH, V174, P74
   Mills LJ, 2006, AM J ENOL VITICULT, V57, P194
   Novokreshchenova M., 2019, Lesne Prace Badawcze, V80, P277
   Pinchot C., 2024, P MCMANUS KATH COMP
   Pooler Margaret R., 2005, Journal of Environmental Horticulture, V23, P113
   R Core Team. R, 2024, A language and environment for statistical computing.
   Ritz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0146021
   Saielli TM, 2014, FOREST SCI, V60, P1068, DOI 10.5849/forsci.13-054
   Schaberg PG, 2021, CAN J FOREST RES, V51, P1386, DOI 10.1139/cjfr-2021-0010
   SHERALD JL, 1994, CAN J FOREST RES, V24, P647, DOI 10.1139/x94-087
   Sherif SM, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07779-4
   Tossi VE, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.869423
   Townsend A., 2000, ELMS, P271
   Townsend A. M., 2005, Journal of Environmental Horticulture, V23, P21
   Vitasse Y, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00541
   Wall J., 2000, Penn State Ag Science Magazine, P29
   WAMPLE RL, 1990, HORTSCIENCE, V25, P973, DOI 10.21273/HORTSCI.25.8.973
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Whittemore AT, 2011, AM J BOT, V98, P754, DOI 10.3732/ajb.1000372
NR 38
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD NOV
PY 2024
VL 15
IS 11
AR 1843
DI 10.3390/f15111843
PG 18
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA N8I2R
UT WOS:001366698900001
OA gold
DA 2025-01-10
ER

PT J
AU Meierova, T
   Chvatalova, V
AF Meierova, Tamara
   Chvatalova, Veronika
TI Frustrated or fulfilled? Motivation of Czech farmers to implement
   climate change adaptation measures on the landscape level
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Farmer; Climate change adaptation; Drought; Motivations; Green and blue
   infrastructure; Landscape
ID SELF-DETERMINATION THEORY; DECISION-MAKING; CONSERVATION; BEHAVIOR;
   OBJECTIVES; BIODIVERSITY; AGRICULTURE; MANAGEMENT; ATTITUDES; POLICIES
AB Farmers around the world struggle with impacts of climate change such as drought. However, their motivations to implement green and blue infrastructure (GBI) as adaptation measures have gained little attention. In-depth interviews with 21 farmers from areas both inside and outside areas of natural constraints in the Czech Republic were carried out and analysed according to the grounded theory approach of Strauss and Corbin. The aim of this qualitative, exploratory study was to understand the unique motivation dynamics, that is, how the motivation of the farmers to create GBI and other measures on agricultural land starts, develops, changes over time, and is maintained or diminishes. We have categorised farmers on the basis of the degree of implemented GBI, their motivation to implement GBI, and other characteristics into three types: fulfilled farmers, farmers struggling with barriers, and frustrated farmers. The components that affect the motivation are presented in a qualitative model. The data suggests that a combination of the vision of the farm, financial security of a business, the farmer's personality traits, and the fulfilment of his or her basic psychological needs is a prerequisite for the motivation to implement GBI, as is sufficient knowledge about the benefits of GBI. Future policies may benefit from acknowledging differences in motivation dynamics among farmers, the level of their frustration, and their needs.
C1 [Meierova, Tamara; Chvatalova, Veronika] EKOTOXA sro, Fisova 403-7, Brno 602 00, Czech Republic.
   [Meierova, Tamara] Masaryk Univ, Fac Social Studies, Dept Environm Studies, Zerotinovo nam 617-9, Brno 602 00, Czech Republic.
C3 Masaryk University Brno
RP Chvatalova, V (corresponding author), EKOTOXA sro, Fisova 403-7, Brno 602 00, Czech Republic.
EM veronika.chvatalova@ekotoxa.cz
RI Meierová, Tamara/GVS-6627-2022; Chvatalova, Veronika/Z-4109-2019
OI Faberova, Tamara/0000-0002-9681-9234; Chvatalova,
   Veronika/0000-0002-9601-492X
FU Technology Agency of the Czech Republic [TL02000431]
FX We would like to appreciate the willingness of farmers and in-formants
   to participate in this study. This article was created with the state
   support of the Technology Agency of the Czech Republic within the
   project No. TL02000431 "Cooperation in Adaptation to Climate Change in
   Key Forestry and Agricultural Areas" in the "ETA Programme. The funding
   source had no role in the preparation and conduct of the research or in
   the writing of the report and the decision to submit the article for
   publication.
CR Ahnström J, 2009, RENEW AGR FOOD SYST, V24, P38, DOI 10.1017/S1742170508002391
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ashby A.W., 1926, WELSH J AGR, V2, P5
   Baur I, 2016, J RURAL STUD, V46, P93, DOI 10.1016/j.jrurstud.2016.06.001
   Beedell J, 2000, J RURAL STUD, V16, P117, DOI 10.1016/S0743-0167(99)00043-1
   Beedell JDC, 1999, J ENVIRON MANAGE, V57, P165, DOI 10.1006/jema.1999.0296
   Bukchin S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051615
   Carver C. S., 1998, On the self-regulation of behavior
   Cermakova K., 2016, ZASINA KORPUS SYN VE
   Cesk statistick rad stav zemedelske ekonomiky a informac, 2016, STRUKT ZEM PODN VYJ
   Cesk statistick rad stav zemedelske ekonomiky a informac, 2016, PRMERN ZEM SUBJ
   Cesk statistick rad stav zemedelske ekonomiky a informac, 2016, MET VYM KLAS SYST
   Charmaz K., 2006, CONSTRUCTING GROUNDE
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Costa FP, 1999, AGR SYST, V61, P135, DOI 10.1016/S0308-521X(99)00043-8
   Cudlínová E, 1999, LANDSCAPE URBAN PLAN, V46, P71, DOI 10.1016/S0169-2046(99)00048-1
   DWYER J., 2007, Understanding and influencing positive behaviour change in farmers and land managersa project for Defra
   Dytrtova K., 2010, Aspects of Applied Biology, P437
   European Commission, GOOD AGR ENV COND GA
   eurostat, 2020, Agriculture, forestry and fishery statistics
   Eurostat, 2018, ARCH SMALL LARG FARM
   FAIRWEATHER JR, 1994, AGR SYST, V44, P181, DOI 10.1016/0308-521X(94)90160-H
   Foguesatto CR, 2020, ENVIRON DEV SUSTAIN, V22, P1, DOI 10.1007/s10668-018-0193-0
   Frantál B, 2016, BIOMASS BIOENERG, V87, P26, DOI 10.1016/j.biombioe.2016.02.007
   Garforth Chris., 2006, Research to understand and model the behaviour and motivations of farmers in responding to policy changes (England)
   Garini CS, 2017, LAND USE POLICY, V68, P200, DOI 10.1016/j.landusepol.2017.07.048
   GASSON R, 1988, J AGR ECON, V39, P340, DOI 10.1111/j.1477-9552.1988.tb00593.x
   Herzon I, 2007, J NAT CONSERV, V15, P10, DOI 10.1016/j.jnc.2006.08.001
   HOAG DL, 1991, AM J AGR ECON, V73, P184, DOI 10.2307/1242894
   Honig M, 2015, LAND USE POLICY, V48, P389, DOI 10.1016/j.landusepol.2015.06.016
   Hristov J., 2020, Publications Office of the European Union, DOI [10.2760/121115, DOI 10.2760/121115]
   Hyland JJ, 2016, AGR HUM VALUES, V33, P323, DOI 10.1007/s10460-015-9608-9
   Jambo IJ, 2019, NJAS-WAGEN J LIFE SC, V89, DOI 10.1016/j.njas.2019.100306
   Kaiser FG, 2003, J APPL SOC PSYCHOL, V33, P586, DOI 10.1111/j.1559-1816.2003.tb01914.x
   Lapka M, 2011, AGR ECON-CZECH, V57, P259, DOI 10.17221/4/2011-AGRICECON
   Lokoc R., 2009, THESIS MASARYKOVA U, P1
   Matzdorf B, 2010, LAND USE POLICY, V27, P535, DOI 10.1016/j.landusepol.2009.07.011
   Meijer SS, 2015, J ENVIRON PSYCHOL, V43, P1, DOI 10.1016/j.jenvp.2015.05.008
   Menozzi D, 2015, BIO-BASED APPL ECON, V4, P125, DOI 10.13128/BAE-14776
   Moldan, 1990, ZIVOTNI PROSTEDI ESK, V281
   Moller AC, 2006, J PUBLIC POLICY MARK, V25, P104, DOI 10.1509/jppm.25.1.104
   Moros L, 2019, ECOL ECON, V156, P468, DOI 10.1016/j.ecolecon.2017.11.032
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Pardo A, 2020, ENVIRON SCI POLICY, V114, P595, DOI 10.1016/j.envsci.2020.09.023
   Payne SM, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00062
   Pelletier LG, 1999, J APPL SOC PSYCHOL, V29, P2481, DOI 10.1111/j.1559-1816.1999.tb00122.x
   Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143
   Prazan J, 2011, LAND DEGRAD DEV, V22, P124, DOI 10.1002/ldr.1066
   Prazan J, 2014, INT J COMMONS, V8, P1
   Rexa, 2019, MLAD ZEMEDELCI CESKE
   Ryan RM, 2017, SELF-DETERMINATION THEORY: BASIC PSYCHOLOGICAL NEEDS IN MOTIVATION, DEVELOPMENT, AND WELLNESS, P1, DOI 10.1521/978.14625/28806
   Ryan RM, 2000, AM PSYCHOL, V55, P68, DOI 10.1037/0003-066X.55.1.68
   Sedlackova, 2019, AGROLESNICTVI JAKO O
   Sereke F, 2016, AGROFOREST SYST, V90, P385, DOI 10.1007/s10457-015-9861-3
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Sklenicka P, 2015, LAND USE POLICY, V47, P253, DOI 10.1016/j.landusepol.2015.04.017
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stobbelaar DJ, 2009, J ENVIRON MANAGE, V90, pS175, DOI 10.1016/j.jenvman.2008.11.019
   Strauss, 1999, ZAKLADY KVALITATIVNI
   Triste L, 2018, INT J AGR SUSTAIN, V16, P106, DOI 10.1080/14735903.2018.1424305
   Ustav zemedelske ekonomiky a informaci, 2020, ZPRAV STAV ZEM ISTV
   van Duinen R, 2015, RISK ANAL, V35, P741, DOI 10.1111/risa.12299
   Vansteenkiste M, 2013, J PSYCHOTHER INTEGR, V23, P263, DOI 10.1037/a0032359
   Vávra J, 2019, LAND USE POLICY, V84, P127, DOI 10.1016/j.landusepol.2019.03.005
   Willock J, 1999, J VOCAT BEHAV, V54, P5, DOI 10.1006/jvbe.1998.1642
   Willock J, 1999, J AGR ECON, V50, P286, DOI 10.1111/j.1477-9552.1999.tb00814.x
   Yazd SD, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16234849
   Zalud, 2020, ZEMEDELSKE SUCHO CES
   Zavadil T., 2021, ZEMEDELCI FORMUJICI, V3, P319
   Zhu YuRong Zhu YuRong, 2012, Journal of Agricultural Science (Toronto), V4, P68
NR 70
TC 7
Z9 7
U1 2
U2 26
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 MAY
PY 2022
VL 92
BP 354
EP 370
DI 10.1016/j.jrurstud.2022.04.013
EA MAY 2022
PG 17
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA 1P7JO
UT WOS:000802181300004
DA 2025-01-10
ER

PT J
AU Hochachka, G
AF Hochachka, Gail
TI Integrating the four faces of climate change adaptation: Towards
   transformative change in Guatemalan coffee communities
SO WORLD DEVELOPMENT
LA English
DT Article
DE Human dimensions; Climate change adaptation; Interiority; Subjectivity;
   Transformative change; Guatemala; Central America
ID ENVIRONMENTAL-CHANGE; PERCEPTIONS; ENGAGEMENT; WORLDVIEWS; IDENTITY;
   RISK; TOOL
AB Despite the complexity of climate change, the dominant definition and practice of adaptation remains reactive, incremental, and focused primarily on biophysical and techno-managerial changes. Researchers suggest this is necessary but insufficient, noting the importance of integrating subjectivity in a more comprehensive approach to adaptation and in moving toward deliberate transformation in a climate change context. Here, I consider how to expand the scope and depth of 'adaptation' as it is currently defined and practiced, presenting an Integral conceptual framework that integrates the 'interior' forms of adaptation and thus can account for the diverse ways that local people are responding to entangled changes at the local level. Drawing on case study research in Guatemala, I explore how a more balanced integration of subjective and objective adaptive capacities, in individuals and collectives, leads to four types of adaptation-personal, practical, critical-structural, and co-generative. Findings describe: 1) how critical-structural adaptations were helpful in disrupting structural arrangements in ways that practical adaptations alone were not; and 2) that the interior adaptations (personal and co-generative) were less emphasized overall but can be effectively integrated, either implicitly or explicitly, with dominant forms of adaptation practice. This study demonstrates how a more comprehensive approach to adaptation may better position communities to engage in transformative change. (C) 2020 The Author(s). Published by Elsevier Ltd.
C1 [Hochachka, Gail] Univ Oslo, Fac Social Sci, Dept Sociol & Human Geog, Postbloks 1096, N-0317 Oslo, Norway.
C3 University of Oslo
RP Hochachka, G (corresponding author), Univ Oslo, Fac Social Sci, Dept Sociol & Human Geog, Postbloks 1096, N-0317 Oslo, Norway.
EM gail.hochachka@sosgeo.uio.no
FU Norwegian Research Council project as part of the Adaptation CONNECTS
   research project at the University of Oslo [250434]
FX This work was funded by the Norwegian Research Council project as part
   of the Adaptation CONNECTS research project (number 250434) at the
   University of Oslo. The author wishes to express gratitude to the
   research participants in Mataquescuintla and San Pedro Necta for their
   collaboration and insights, to Karen O'Brien, Andy Bennett, and Ken
   Wilber their mentorship, to Julia Bentz and Roland Stanich for editing,
   to Saul Vasquez and Monica Flores for their assistance in fieldwork, and
   to my daughter Anya for her inspiration.
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   [Anonymous], 2010, ENACTIONTOWARD NEW P, DOI DOI 10.1007/s11538-006-9130-8
   Becke G., 2014, Mindful change in times of permanent reorganization
   Becke G., 2012, 183 ART U BREM
   Bennett A, 2015, STRAT SOC INQ, P1
   Berger W., 2014, A more beautiful question: The power of inquiry to spark breakthrough ideas
   Birt L, 2016, QUAL HEALTH RES, V26, P1802, DOI 10.1177/1049732316654870
   Bourdieu Pierre., 1992, LOGIC PRACTICE
   Breakwell GM, 2010, WIRES CLIM CHANGE, V1, P857, DOI 10.1002/wcc.74
   Brink E, 2019, J CLEAN PROD, V209, P1342, DOI 10.1016/j.jclepro.2018.10.164
   Brown B.C., 2006, The four worlds of sustainability: Drawing upon four universal perspectives to support sustainability initiatives
   Burke A, 2017, BMC COMPLEM ALTERN M, V17, DOI 10.1186/s12906-017-1827-8
   Castillo RAH, 1998, AM ANTHROPOL, V100, P136, DOI 10.1525/aa.1998.100.1.136
   Charli-Joseph L, 2018, ECOL SOC, V23, DOI 10.5751/ES-10214-230246
   Cobos Garcia R. A, 2006, DIAGNOSTICO PRONOSTI
   Cox, 2009, 43920GT WORLD BANK, P137
   Davis AP, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047981
   De Witt A, 2016, ENVIRON SCI POLICY, V63, P101, DOI 10.1016/j.envsci.2016.05.012
   Dubois A, 2002, J BUS RES, V55, P553, DOI 10.1016/S0148-2963(00)00195-8
   Ensor JE, 2019, ENVIRON SCI POLICY, V94, P227, DOI 10.1016/j.envsci.2019.01.013
   Esbjorn-Hargens S., 2009, INTEGRAL ECOLOGY
   Esbjorn-Hargens Sean., 2010, J INTEGRAL THEORY PR, V5
   Escobar Arturo., 2020, Pluriversal Politics: The Real and the Possible
   Fairfield T., 2020, IN PRESS
   Fairfield T, 2013, WORLD DEV, V47, P42, DOI 10.1016/j.worlddev.2013.02.011
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Fresque-Baxter JA, 2012, WIRES CLIM CHANGE, V3, P251, DOI 10.1002/wcc.164
   George AL., 2005, Case studies and theory development in the social sciences
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Gosnell H, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101965
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Head L, 2016, ROUTL RES ANTHROPO, P1, DOI 10.4324/9781315739335
   Hochachka G, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.001
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Instituto Nacional de Estadistica Guatemala, 2018, PORT RES CENS 2018
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jonas Susan., 1991, The Battle for Guatemala: Rebels, Death Squads
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lang RE, 1998, HOUS POLICY DEBATE, V9, P1
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Leichenko R., 2019, CLIMATE SOC TRANSFOR
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Manuel-Navarrete D, 2019, ANTHROPOCENE, V26, DOI 10.1016/j.ancene.2019.100209
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Manuel-Navarrete D, 2015, ECOL SOC, V20, DOI 10.5751/ES-07720-200326
   Markowitz EM, 2013, JUDGM DECIS MAK, V8, P397
   Maxwell J.A., 2013, QUALITATIVE RES DESI, V3rd, P121
   Meadows D., 1997, WHOLE EARTH REV, V91, P78
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Morgan D., 2012, APPL LIVELIHOOD METH, P46
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P64, DOI 10.1017/CBO9780511535871.006
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nightingale AJ, 2016, AREA, V48, P41, DOI 10.1111/area.12195
   Nome M. A, 2007, ANN M AM POL SCI ASS
   O'Brien K., 2015, ADAPTIVE CHALLENGE C, P1, DOI [10.1017/CBO9781139149389.002, DOI 10.1017/CBO9781139149389.002]
   O'Brien K., 2013, P TRANSFORMATION CHA, P16
   O'Brien K., 2010, J INTEGRAL THEORY PR, V5, P89, DOI DOI 10.5751/ES-07943-200416
   O'Brien K, 2018, CURR OPIN ENV SUST, V31, P153, DOI 10.1016/j.cosust.2018.04.010
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien KL, 2016, WIRES CLIM CHANGE, V7, P618, DOI 10.1002/wcc.413
   Overland I, 2020, ENERGY RES SOC SCI, V62, DOI 10.1016/j.erss.2019.101349
   Paerregaard K, 2013, RELIGIONS, V4, P290, DOI 10.3390/rel4020290
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Putnam R.D., 1995, Journal of Democracy, V6, P65, DOI [10.1353/jod.1995.0002, DOI 10.1353/JOD.1995.0002]
   Pyhälä A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08482-210325
   Riddell D, 2013, J INTEGRAL THEORY PR, V8, P126
   Riedy C., 2008, Deliberative ecological economics, P167
   SALOMAA A, 2020, GLOB SUSTAIN
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Scoville-Simonds M, 2018, WORLD DEV, V110, P345, DOI 10.1016/j.worlddev.2018.06.012
   Seawright J, 2008, POLIT RES QUART, V61, P294, DOI 10.1177/1065912907313077
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Swim J., PSYCHOL GLOBAL CLIMA
   Taleb N.N., 2014, Antifragile: Things That Gain from Disorder
   Thomas JE, 2018, INFRASTRUCTURES-BASE, V3, DOI 10.3390/infrastructures3030030
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Vervaeke J, 2019, MODERN STOICISM
   WAMSLER C, 2018, ECOL ECON, V151, P55, DOI DOI 10.1016/J.ECOLECON.2018.04.029
   Wamsler C, 2018, SUSTAIN SCI, V13, P1121, DOI 10.1007/s11625-017-0524-3
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Weller N, 2016, SOCIOL METHOD RES, V45, P424, DOI 10.1177/0049124114544420
   Wescoat JL, 2006, GEOGR REV, V96, P700, DOI 10.1111/j.1931-0846.2006.tb00524.x
   White G. F., 1945, THESIS
   Wilber K, 2006, EXCERPT B MANY WAYS, P49
   Wilber K., 1996, BRIEF HIST EVERYTHIN
   Woiwode C, 2016, FUTURES, V84, P82, DOI 10.1016/j.futures.2016.10.002
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   World Bank, 2004, GUAT DRIV SUST RUR G, VII
NR 92
TC 14
Z9 15
U1 4
U2 20
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD APR
PY 2021
VL 140
AR 105361
DI 10.1016/j.worlddev.2020.105361
EA JAN 2021
PG 15
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA QK8SM
UT WOS:000620649900017
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Marcus, H
   Hanna, L
AF Marcus, Hannah
   Hanna, Liz
TI Understanding national barriers to climate change adaptation for public
   health: a mixed-methods survey of national public health representatives
SO INTERNATIONAL JOURNAL OF HEALTH GOVERNANCE
LA English
DT Article
DE Risk management; Knowledge management; Climate change; Governance
   structures; Determinants of health; Public health regulations; Outbreak
   response
ID IMPACTS; GOVERNANCE
AB Purpose To uncover the major government constraints to enactment and implementation of public health-targeted climate change adaptation (CCA) strategies in order to equip public health stakeholders and health advocates with the knowledge resources necessary to more effectively mobilize and support CCA for public health responses at the national level. Design/methodology/approach A mixed-methods online survey was distributed to the representatives of national public health associations and societies of 82 countries. The survey comprised 15 questions assessing national progress on CCA for public health and the effects of various institutional, economic/financial, technical and sociopolitical barriers on national adaptive capacity. Findings Survey responses from 11 countries indicated that national commitments to CCA for public health have increased markedly since prior assessments but significant shortcomings remain. The largest apparent barriers to progress in this domain were poor government coordination, lack of political will and inadequate adaptation finances. Originality/value This study is unique in relation to the prior literature on the topic in that it effectively captures an array of country-specific yet cross-cutting adaptation constraints across diverse national contexts. With a deepened understanding of the major determinants of national adaptive capacity, international actors can devise more effective, evidence-informed strategies to support national governments in responding to the health impacts of climate change.
C1 [Marcus, Hannah] Univ Alberta, Sch Publ Hlth, Edmonton, AB, Canada.
   [Hanna, Liz] World Federat Publ Hlth Assoc, Geneva, Switzerland.
C3 University of Alberta
RP Marcus, H (corresponding author), Univ Alberta, Sch Publ Hlth, Edmonton, AB, Canada.
EM hatmahmarcus6@hotmail.com
OI Hanna, Elizabeth/0000-0001-5910-6676
CR [Anonymous], 2019, Nairobi, DOI [10.1017/9781108627146, DOI 10.1017/9781108627146]
   [Anonymous], 2015, CLIM CHANG HLTH POL
   [Anonymous], Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Arriagada NB, 2020, EXTREME WEATHER EVENTS AND HUMAN HEALTH: INTERNATIONAL CASE STUDIES, P99, DOI 10.1007/978-3-030-23773-8_8
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Bloom D.E., 2008, 24 WORLD BANK COMM G, P36
   Boyce T., 2019, EC SOCIAL IMPACTS BE, P56
   Carducci A, 2020, J PUBLIC HEALTH POL, V41, P548, DOI 10.1057/s41271-020-00240-3
   Chauvin J, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2935-y
   Ciplet D, 2013, GLOBAL ENVIRON POLIT, V13, P49, DOI 10.1162/GLEP_a_00153
   Eekhout JPC, 2018, HYDROL EARTH SYST SC, V22, P5935, DOI 10.5194/hess-22-5935-2018
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Fredriksson PG, 2016, ENVIRON RESOUR ECON, V63, P451, DOI 10.1007/s10640-014-9869-6
   Gilfillan D, 2017, ECOL SOC, V22, DOI 10.5751/ES-09235-220314
   Haikerwal A, 2020, WATER-ASSOCIATED INFECTIOUS DISEASES, P53, DOI 10.1007/978-981-13-9197-2_6
   Hales S, 2019, REV ENVIRON HEALTH, V34, P1, DOI 10.1515/reveh-2019-2001
   Hanna EG, 2015, INT J ENV RES PUB HE, V12, P8034, DOI 10.3390/ijerph120708034
   Hanna L, 2020, J PUBLIC HEALTH POL, V41, P390, DOI 10.1057/s41271-020-00233-2
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kabir R, 2016, Int J Perceptions Public Health, V1, P6
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Lesnikowski AC, 2013, GLOBAL ENVIRON CHANG, V23, P1153, DOI 10.1016/j.gloenvcha.2013.04.008
   McClure L, 2018, LANDSCAPE URBAN PLAN, V173, P81, DOI 10.1016/j.landurbplan.2018.01.012
   McDaid D., 2015, EUROPEAN OBSERVATORY, P370
   Menne B, 2020, EUR J PUBLIC HEALTH, V30, P3, DOI 10.1093/eurpub/ckaa026
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Miao Q, 2019, RISK ANAL, V39, P1298, DOI 10.1111/risa.13245
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Mukamuhirwa A, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16061043
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Niles MT, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16282-9
   Orru H, 2017, Curr Environ Health Rep, V4, P504, DOI 10.1007/s40572-017-0168-6
   Pacific Islands Development Forum, 2019, NAD BAY DECL CLIM CH
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Paull SH, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2078
   Paz S, 2019, EMERG TOP LIFE SCI, V3, P143, DOI 10.1042/ETLS20180124
   Poole JA, 2019, J ALLERGY CLIN IMMUN, V143, P1702, DOI 10.1016/j.jaci.2019.02.018
   Smith JB, 2011, CLIM POLICY, V11, P987, DOI 10.1080/14693062.2011.582385
   Spires M, 2018, CLIM DEV, V10, P432, DOI 10.1080/17565529.2017.1410088
   Tait PW, 2014, AUST NZ J PUBL HEAL, V38, P104, DOI 10.1111/1753-6405.12212
   UN Development Programme, 2019, UN FRAM CONV CLIM CH
   UN Framework Convention on Climate Change, 2019, WHAT DO AD CLIM CHAN
   United Nations Framework Convention on Climate Change, 2019, CLIM GET BIG PICT
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   WHO, 2019, Environmental Health, and Exposomics
   World Bank, 2015, IMP CLIM CHANG POV 2
   World Health Organization, 2015, STRENGTH HLTH RES CL
   Wright LD, 2019, COAST RES LIBR, V27, P151, DOI 10.1007/978-3-319-75453-6_10
NR 51
TC 7
Z9 7
U1 0
U2 5
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 2059-4631
J9 INT J HEALTH GOV
JI Int. J. Health Gov.
PD DEC 7
PY 2020
VL 25
IS 4
BP 287
EP 306
DI 10.1108/IJHG-06-2020-0061
EA OCT 2020
PG 20
WC Health Policy & Services
WE Emerging Sources Citation Index (ESCI)
SC Health Care Sciences & Services
GA PC9GH
UT WOS:000576308300001
DA 2025-01-10
ER

PT J
AU Heath, LC
   Tiwari, P
   Sadhukhan, B
   Tiwari, S
   Chapagain, P
   Xu, TB
   Li, G
   Ailikun
   Joshi, B
   Yan, JZ
AF Heath, Lance C.
   Tiwari, Prakash
   Sadhukhan, Bedoshruti
   Tiwari, Sunandan
   Chapagain, Prem
   Xu, Tingbao
   Li, Geraldine
   Ailikun
   Joshi, Bhagwati
   Yan, Jianzhong
TI Building climate change resilience by using a versatile toolkit for
   local governments and communities in rural Himalaya
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Climate change adaptation; Toolkit; Resilience; Adaptive capacity
ID WATER-RESOURCES; SECURITY; FOOD
AB With the impacts of climate disruption becoming more evident there has been an increase in the uptake of climate change adaptation "toolkits" to assist local governments build community resilience and adapt to the impacts of climate change. There is increasing attention and call for practitioners to adopt proactive and participatory approaches to help in the adaptive response planning process. One such toolkit is the International Council for Local Environmental Initiatives (ICLEI) Asian Cities Climate Change Resilience Network (ACCRN) Process (IAP). This is a simple but rigorous toolkit developed to help local governments in Asian cities build resilience to the impacts of climate change. This paper outlines the application of the toolkit to determine its versatility in the rural context and was trialled in the Himalayan rural enclave of Ramgad in the Indian state of Uttarakhand. Given the differences between urban and rural environments, the outcomes highlighted the need for further investigation and analysis into the process to ensure that the methodology truly reflects the nature of rural systems and their level of vulnerability and adaptive capacity. Overall, the toolkit proved to be a simple but versatile toolkit to assess the vulnerability and adaptive capacity of communities in rural Himalaya. Over 40 resilience intervention strategies were developed for the Ramgad enclave and these were prioritized according to their technical, political, social and economic feasibility.
C1 [Heath, Lance C.; Xu, Tingbao; Li, Geraldine] Australian Natl Univ, Fenner Sch Soc & Environm, Bldg 141,Linnaeus Way, Canberra, ACT 0200, Australia.
   [Heath, Lance C.] Sustineo Pty Ltd, 1b-32 Thesiger Court, Canberra, ACT 2612, Australia.
   [Heath, Lance C.] Freelance Solut, 37 Loftus St, Canberra, ACT 2600, Australia.
   [Tiwari, Prakash] Kumaon Univ, Naini Tal 263001, India.
   [Sadhukhan, Bedoshruti] Local Govt Sustainabil South Asia, ICLEI, C-3 Green Pk Extens, New Delhi, India.
   [Tiwari, Sunandan] ICLEI, World Secretariat, Kaiser Friedrich Str 7, D-53113 Bonn, Germany.
   [Chapagain, Prem] Tribhuvan Univ, Kirtipur, Nepal.
   [Ailikun] Chinese Acad Sci, 16 Lincui Rd, Beijing 100101, Peoples R China.
   [Joshi, Bhagwati] Govt Postgrad Coll, Rudrapur 263153, India.
   [Yan, Jianzhong] Southwest Univ, Chongqing, Peoples R China.
C3 Australian National University; Kumaun University; Tribhuvan University;
   Chinese Academy of Sciences; Southwest University - China
RP Heath, LC (corresponding author), Australian Natl Univ, Sustineo Pty Ltd, Freelance Solut, Lance Heath, Canberra, ACT, Australia.
EM lheath@grapevine.com.au; pctiwari@yahoo.com; shruti.sadhukhan@iclei.org;
   sunandan.tiwari@iclei.org; ps.chapagain@gmail.com;
   Tingbao.Xu@anu.edu.au; gli@fronteirsi.com.au; aili@mairs-essp.org;
   bhawanatiwari@yahoo.com; yanjzswu@126.com
RI Chapagain, Prem Sagar/AAI-5748-2020
OI Chapagain, Prem Sagar/0000-0001-7316-8769
FU Asia-Pacific Network for Global Change Research (APN)
FX This study has been conducted from the project 'Development of an
   Evidence-Based Climate Change Adaptation Toolkit to Help Improve
   Community Resilience to Climate Change Impacts in Uttarakhand, India'
   funded by the Asia-Pacific Network for Global Change Research (APN) with
   the project reference number: ARCP2015-09CMY-Heath. The project summary
   is available from the APN website at:
   http://www.apn-gcr.org/resources/items/show/1991.
CR Aase TH, 2013, MT RES DEV, V33, P4, DOI 10.1659/MRD-JOURNAL-D-12-00025.1
   [Anonymous], 1991, Data assimilation systems
   [Anonymous], I POLICY ANAL DISAST
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Hay J.E., 2012, DISCUSSION PAPER PAC
   Heath L, 2014, ADV GLOB CHANGE RES, V56, P129, DOI 10.1007/978-94-007-7338-7_4
   HUTCHINSON MF, 1995, INT J GEOGR INF SYST, V9, P385, DOI 10.1080/02693799508902045
   Hutchinson MF., 2013, Anusplin Version 4.4 User Guide
   ICLEI, 2014, ICLEI S AS 1 ED DEC
   IFRCS, 2007, PREP CHANG CLIM CAS
   Intergovernmental Panel on Climate Change, 2018, SPEC REP GLOB WARM 1
   IPCC, 2014, REPORTCLIMATE CHANG
   IPCC, 2001, CLIM CHANG 2001 INT
   Kragt ME, 2011, ENVIRON MODELL SOFTW, V26, P92, DOI 10.1016/j.envsoft.2010.04.002
   Liu YQ, 2008, ENVIRON MODELL SOFTW, V23, P846, DOI 10.1016/j.envsoft.2007.10.007
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Tiwari P.C., 2015, CHANGE ADAPTATION SO, V2, DOI DOI 10.1515/CASS-2015-0002
   Tiwari PC, 2012, FOOD SECUR, V4, P195, DOI 10.1007/s12571-012-0178-z
   Tiwari PC, 2012, WATER RESOUR MANAG, V26, P883, DOI 10.1007/s11269-011-9825-y
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Xu TB, 2013, ENVIRON MODELL SOFTW, V40, P267, DOI 10.1016/j.envsoft.2012.10.003
NR 22
TC 10
Z9 10
U1 4
U2 47
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 SEP
PY 2020
VL 188
AR 109636
DI 10.1016/j.envres.2020.109636
PG 11
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA NH4SR
UT WOS:000564662200020
PM 32599389
DA 2025-01-10
ER

PT J
AU Prasad, RS
   Sud, R
AF Prasad, Ravi S.
   Sud, Ridhima
TI Implementing climate change adaptation: lessons from India's national
   adaptation fund on climate change (NAFCC)
SO CLIMATE POLICY
LA English
DT Article
DE Climate change; adaptation finance; public policy; mainstreaming
ID FINANCE; POLICY; VULNERABILITY; GOVERNANCE; MITIGATION; JUSTICE; MONEY
AB With poverty alleviation and sustainable development as key imperatives for a developing economy like India, what drives the resource-constrained state governments to prioritize actions that address climate change impacts? We examine this question and argue that without access to additional earmarked financial resources, climate action would get overshadowed by developmental priorities and effective mainstreaming might not be possible. A systematic literature review was carried out to draw insights from the current state of implementation of adaptation projects, programmes and schemes at the subnational levels, along with barriers to mainstreaming climate change adaptation. The findings from a literature review were supplemented with lessons emerging from the implementation of India's National Adaptation Fund on Climate Change (NAFCC). The results of this study underscore the scheme's relevance. Key policy insights Experience with NAFCC implementation reveals that states require sustained 'handholding' in terms of financial, technical and capacity support until climate change issues are fully understood and embedded in the policy landscape. Domestic sources of finance are critically important in the absence of predictable and adequate adaptation finance from international sources. The dedicated window for climate finance fosters a spirit of competitive federalism among states and encourages enhanced climate action. Enhanced budgetary allocation to NAFCC to strengthen the state-level adaptation response and create capacity to mainstream climate change concerns in state planning frames, is urgently needed.
C1 [Prasad, Ravi S.; Sud, Ridhima] Govt India, Minist Environm Forest & Climate Change, New Delhi, India.
RP Sud, R (corresponding author), Govt India, Minist Environm Forest & Climate Change, New Delhi, India.
EM ridhima.sud@gmail.com
CR [Anonymous], GOV HAS EST NAT AD F
   [Anonymous], IMPL GUID NAT AD FUN
   [Anonymous], 2015, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-013-9505-8
   [Anonymous], 2015, RAIS AGR PROD MAK FA
   [Anonymous], 2010, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-009-9208-3
   Atteridge A, 2012, AMBIO, V41, P68, DOI 10.1007/s13280-011-0242-5
   Barrett S, 2015, GLOBAL ENVIRON POLIT, V15, P118, DOI 10.1162/GLEP_a_00314
   Barrett S, 2013, GLOBAL ENVIRON CHANG, V23, P1819, DOI 10.1016/j.gloenvcha.2013.07.015
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Denton F, 2010, CLIM POLICY, V10, P655, DOI 10.3763/cpol.2010.0149
   Dubash N., 2013, EC POLITICAL WKLY, V48, P47
   Dubash NavrozK., 2012, Handbook of Climate Change and India: Development, Politics, and Governance, P197
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Fankhauser S, 2011, CLIM POLICY, V11, P1037, DOI 10.1080/14693062.2011.582389
   Fenton A, 2014, CLIM DEV, V6, P388, DOI 10.1080/17565529.2014.953902
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flåm KH, 2009, CLIM POLICY, V9, P109, DOI 10.3763/cpol.2008.0568
   Gersonius B, 2016, NAT HAZARDS, V82, pS201, DOI 10.1007/s11069-015-2015-0
   GoI (Government of India), 2008, NAT ACT PLAN CLIM CH
   Gupta J., 2007, Environmental Sciences, V4, P131, DOI DOI 10.1080/15693430701742669
   Hasse JU, 2016, WATER SCI TECHNOL, V73, P2251, DOI 10.2166/wst.2016.065
   Hochrainer-Stigler S, 2014, GLOBAL ENVIRON CHANG, V25, P87, DOI 10.1016/j.gloenvcha.2014.01.011
   Hoffmaister JP, 2012, CLIM DEV, V4, P234, DOI 10.1080/17565529.2012.698591
   Jörgensen K, 2015, J INTEGR ENVIRON SCI, V12, P267, DOI 10.1080/1943815X.2015.1093507
   Jogesh A, 2015, J INTEGR ENVIRON SCI, V12, P247, DOI 10.1080/1943815X.2015.1077869
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kim Y, 2017, CLIM DEV, V9, P141, DOI 10.1080/17565529.2015.1124037
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Mathew S, 2012, GLOBAL ENVIRON CHANG, V22, P308, DOI 10.1016/j.gloenvcha.2011.11.005
   Mathur V, 2016, INDIA Q, V72, P330, DOI 10.1177/0974928416672021
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mostafa M, 2016, B ATOM SCI, V72, P396, DOI 10.1080/00963402.2016.1240480
   Nelson DR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094011
   Nhamo G, 2016, INT J AFR RENAISS ST, V11, P118, DOI 10.1080/18186874.2016.1212479
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Pauw WP, 2016, CLIMATIC CHANGE, V134, P489, DOI 10.1007/s10584-015-1539-3
   Persson A, 2014, CLIM POLICY, V14, P488, DOI 10.1080/14693062.2013.879514
   Thuy PT, 2014, FORESTS, V5, P2016, DOI 10.3390/f5082016
   Remling E, 2015, CLIM DEV, V7, P16, DOI 10.1080/17565529.2014.886992
   Schulz A, 2017, MITIG ADAPT STRAT GL, V22, P175, DOI 10.1007/s11027-015-9672-x
   Scobie M, 2016, ENVIRON SCI POLICY, V58, P16, DOI 10.1016/j.envsci.2015.12.008
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Smith JB, 2011, CLIM POLICY, V11, P987, DOI 10.1080/14693062.2011.582385
   Stiller S, 2016, REG ENVIRON CHANGE, V16, P1543, DOI 10.1007/s10113-015-0886-y
   Stock R, 2019, CLIM DEV, V11, P138, DOI 10.1080/17565529.2017.1410089
   Vij S, 2017, ENVIRON SCI POLICY, V78, P58, DOI 10.1016/j.envsci.2017.09.007
   Wood BT, 2016, J ENVIRON DEV, V25, P363, DOI 10.1177/1070496516664179
NR 51
TC 22
Z9 23
U1 8
U2 83
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD MAR 16
PY 2019
VL 19
IS 3
BP 354
EP 366
DI 10.1080/14693062.2018.1515061
PG 13
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA HH7ZB
UT WOS:000455949300007
DA 2025-01-10
ER

PT J
AU Ernst, KM
   Swartling, ÅG
   André, K
   Preston, BL
   Klein, RJT
AF Ernst, Kathleen M.
   Swartling, Asa Gerger
   Andre, Karin
   Preston, Benjamin L.
   Klein, Richard J. T.
TI Identifying climate service production constraints to adaptation
   decision-making in Sweden
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate services; Climate change adaptation; Knowledge co-production;
   Stakeholder engagement; Adaptation decision-making
ID OVERCOMING BARRIERS; SCIENCE; KNOWLEDGE; VULNERABILITY; USABILITY;
   INSIGHTS; SUSTAINABILITY; METAANALYSIS; RESILIENCE; GOVERNANCE
AB Climate change adaptation efforts continue to increase as the impacts of climate change increase, intensify, and become more apparent. However, many adaptation efforts fail to result in adaptation actions. This inaction has been linked to several constraining factors including a lack of actionable information for adaptation decision-making processes. We wonder if climate service producers face constraints as they try to create and deliver actionable information for adaptation decision-making efforts? This paper draws on semi-structured interviews and participant-observations across climate service production environments in Sweden to answer our research question and fords that climate service producers engage in research, coordination, and communication to varying degrees and experience constraints related to the production and dissemination of actionable information and stakeholder engagement, as well as funding, professional, and institutional constraints. Some constraints are experienced differently by climate service producers depending on their specific role, institutional affiliation, agency, and experience. Additionally, some climate service production constraints create or exacerbate additional constraints for adaptation decision-making stakeholders. Therefore, climate service production constraints limit the effectiveness of climate services, and overcoming them would help make progress towards more adaptation implementation in specific contexts. However, for adaptation actions to be widespread, the production and dissemination of climate services must be met with additional support and guidance for adaptation efforts beyond the provision of actionable information.
C1 [Ernst, Kathleen M.] Univ Tennessee, Bredesen Ctr Interdisciplinary Grad Educ, Knoxville, TN 37996 USA.
   [Swartling, Asa Gerger; Andre, Karin; Klein, Richard J. T.] Stockholm Environm Inst, Stockholm, Sweden.
   [Preston, Benjamin L.] RAND Corp, Community Hlth & Environm Policy Program, Santa Monica, CA USA.
   [Klein, Richard J. T.] Global Ctr Adaptat, Rotterdam, Netherlands.
   [Klein, Richard J. T.] Global Ctr Adaptat, Groningen, Netherlands.
   [Klein, Richard J. T.] Linkoping Univ, Linkoping, Sweden.
   [Ernst, Kathleen M.] NOAA, RESTORE Sci Program, NCEI, 1021 Balch Blvd,Suite 1003, Stennis Space Ctr, MS 39529 USA.
C3 University of Tennessee System; University of Tennessee Knoxville;
   Stockholm Environment Institute; RAND Corporation; Linkoping University;
   National Oceanic Atmospheric Admin (NOAA) - USA
RP Ernst, KM (corresponding author), Univ Tennessee, Bredesen Ctr Interdisciplinary Grad Educ, Knoxville, TN 37996 USA.; Ernst, KM (corresponding author), NOAA, RESTORE Sci Program, NCEI, 1021 Balch Blvd,Suite 1003, Stennis Space Ctr, MS 39529 USA.
EM kassie@vols.utk.edu
RI Preston, Benjamin/B-9001-2012; Gerger Swartling, Asa/J-1420-2018; Klein,
   Richard J.T./B-1148-2009
OI Gerger Swartling, Asa/0000-0003-3616-7323; Ernst,
   Kathleen/0000-0002-4726-0331; Klein, Richard J.T./0000-0002-9458-0944;
   Andre, Karin/0000-0002-0373-0143
FU Fulbright foundation; Swedish Civil Contingencies Agency (MSB); Swedish
   International Development Agency (Sida); United States Department of
   Energy, Office of Science, Biological and Environment Research,
   Integrated Assessment Program; United States Department of Energy,
   Office of Science, Biological and Environment Research, Biological and
   Environmental Research Program
FX We would like to thank the climate service producers and users who
   participated in this study; the Swedish Meteorological and Hydrological
   Institute for their accessibility throughout this study; and Sandra
   Tenggren who helped with data collection for this study. Additionally,
   we would also like to acknowledge the Fulbright foundation for Kathleen
   Ernst's fellowship to study in Sweden, the Swedish Civil Contingencies
   Agency (MSB) who funds HazardSupport: Risk -based decision support for
   adaptation to future natural hazards, and the Swedish International
   Development Agency (Sida) who funds the Stockholm Environment Institute
   Climate Services Iniitiative. Also, this work was supported by the
   United States Department of Energy, Office of Science, Biological and
   Environment Research, Integrated Assessment Program and Biological and
   Environmental Research Program. Many thanks to two anonymous reviewers
   for their valuable suggestions that contributed to the final manuscript.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2012, RUBIN
   [Anonymous], 2013, Eos., DOI DOI 10.1002/2013EO110002
   Arnott JC, 2016, ENVIRON SCI POLICY, V66, P383, DOI 10.1016/j.envsci.2016.06.017
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Biesbroek G.R., 2011, CLIM LAW, V2, P181
   Bremer S, 2013, COAST MANAGE, V41, P39, DOI 10.1080/08920753.2012.749751
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   de Bremond A, 2014, ENVIRON SCI POLICY, V42, P45, DOI 10.1016/j.envsci.2014.05.004
   DeWalt K.M., 2010, PARTICIPANT OBSERVAT
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Ford JD, 2013, GLOBAL ENVIRON CHANG, V23, P1317, DOI 10.1016/j.gloenvcha.2013.06.001
   Friedlingstein P, 2010, NAT GEOSCI, V3, P811, DOI 10.1038/ngeo1022
   Geertz Clifford, 1973, The Interpretation of Cultures: Selected Essays
   Hay I., 2000, QUALITATIVE RES METH
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Jantarasami LC, 2010, ECOL SOC, V15
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Jönsson AM, 2014, SOC NATUR RESOUR, V27, P1130, DOI 10.1080/08941920.2014.906013
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kitchin R., 2013, Conducting research in human geography: theory, methodology, and practice
   Klein RJT, 2014, ENVIRON SCI POLICY, V40, P101, DOI 10.1016/j.envsci.2014.01.011
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lesnikowski AC, 2013, GLOBAL ENVIRON CHANG, V23, P1153, DOI 10.1016/j.gloenvcha.2013.04.008
   Lesnikowski AC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044009
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Liu YQ, 2008, ENVIRON MODELL SOFTW, V23, P846, DOI 10.1016/j.envsoft.2007.10.007
   Magnan AK, 2016, SCIENCE, V352, P1280, DOI 10.1126/science.aaf5002
   Massey E, 2015, J WATER CLIM CHANGE, V6, P9, DOI 10.2166/wcc.2014.110
   McNamara K. E, 2012, LIMITS CLIMATE CHANG
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Melillo JM., 2014, Third National Climate Assessment
   Miller C, 2010, REPORT ADV CONSERVAT
   Miller TR, 2018, ISSUES SCI TECHNOL, V34, P46
   Mimura N, 2014, CLIMATE CHANGE 201 A
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moss RH, 2016, CLIMATIC CHANGE, V135, P143, DOI 10.1007/s10584-015-1549-1
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   O'Brien K, 2013, PROG HUM GEOG, V37, P587, DOI 10.1177/0309132512469589
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   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, CURR OPIN ENV SUST, V14, P239, DOI 10.1016/j.cosust.2015.05.010
   Preston BL, 2015, CURR OPIN ENV SUST, V14, P127, DOI 10.1016/j.cosust.2015.05.002
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   Preston BL, 2013, SUSTAINABILITY-BASEL, V5, P1011, DOI 10.3390/su5031011
   Preston BL, 2013, GLOBAL ENVIRON CHANG, V23, P719, DOI 10.1016/j.gloenvcha.2013.02.009
   Safford HD, 2017, FRONT ECOL ENVIRON, V15, P560, DOI 10.1002/fee.1731
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   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
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Swartling ÅG, 2019, ENVIRON POLICY GOV, V29, P97, DOI 10.1002/eet.1833
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Tonn BE., 2000, ENV PRACT, V2, P188
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vincent K, 2017, CLIM POLICY, V17, P189, DOI 10.1080/14693062.2015.1075374
   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 74
TC 15
Z9 17
U1 1
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 MAR
PY 2019
VL 93
BP 83
EP 91
DI 10.1016/j.envsci.2018.11.023
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HJ9GX
UT WOS:000457508000009
OA Bronze
DA 2025-01-10
ER

PT J
AU Bachner, G
AF Bachner, Gabriel
TI Assessing the economy-wide effects of climate change adaptation options
   of land transport systems in Austria
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Transport; Impacts; Adaptation; Macroeconomic;
   Computable general; equilibrium
ID CHANGE IMPACTS; RISK
AB Due to climate change, transport systems are expected to become increasingly stressed by extreme weather and gradual climatic changes, resulting in direct costs within the affected sectors as well as indirect costs from sectoral interlinkages. To reduce these costs, sector-specific climate change adaptation measures are needed, raising the question of the net benefits of adaptation at a macroeconomic level. However, despite their importance such assessments of impacts and adaptation at the macrolevel are scarce and coarse in their implementation. This paper contributes to fill this research gap by analyzing specific adaptation measures for the road and rail sectors in Austria using a computable general equilibrium model. The findings are as follows: First, direct impact costs more than double due to macroeconomic linkages. Hence, the indirect costs are found to be larger than the direct costs. Second, when analyzing adaptation measures for the road and rail sectors, without capturing any indirect effects, benefit-cost ratios imply a clear benefit only for the rail sector. However, when indirect effects via sectoral interlinkages are also captured, adaptation measures in both sectors, road and rail, clearly pay off. Climate change-induced GDP and welfare losses are reduced by 55 and 34% and lead to positive employment effects. Third, even at rather low damage reduction potentials, adaptation leads to a net benefit at the macroeconomic level.
C1 [Bachner, Gabriel] Graz Univ, Wegener Ctr Climate & Global Change, Graz, Austria.
C3 University of Graz
RP Bachner, G (corresponding author), Graz Univ, Wegener Ctr Climate & Global Change, Graz, Austria.
EM gabriel.bachner@uni-graz.at
RI Bachner, Gabriel/N-7536-2019; Bachner, Gabriel/F-3240-2016
OI Bachner, Gabriel/0000-0003-2025-0747
FU University of Graz; Austrian Climate and Energy Fund (Austrian Climate
   Research Program) [adapt2to4]
FX Open access funding provided by University of Graz. Funding for this
   research was Granted by the Austrian Climate and Energy Fund (Austrian
   Climate Research Program, Project adapt2to4). I thank Birgit
   Bednar-Friedl for discussions and her helpful advice. All remaining
   errors are mine.
CR Aaheim A, 2012, GLOBAL ENVIRON CHANG, V22, P959, DOI 10.1016/j.gloenvcha.2012.06.005
   Aaheim A, 2011, MITIG ADAPT STRAT GL, V16, P229, DOI 10.1007/s11027-010-9266-6
   Altvater S., 2012, Adaptation Measures in the EU: Policies, Costs, and Economic Assessment ('Climate Proofing'of Key EU Policies)
   [Anonymous], PRISK CHANGE VERANDE
   [Anonymous], CLIMATE IMPACTS EURO
   [Anonymous], 2015, The Economic Consequences of Climate Change
   [Anonymous], OECD ENV WORKING PAP
   [Anonymous], 2013, Global land transport infrastructure requirements
   Arent DJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P659
   Arkell BP, 2006, P I CIVIL ENG-MUNIC, V159, P231, DOI 10.1680/muen.2006.159.4.231
   ARMINGTON PS, 1969, INT MONET FUND S PAP, V16, P159
   Bachner G, 2015, SPRINGER CLIMATE, P101, DOI 10.1007/978-3-319-12457-5_7
   BB, 2014, OBB INFR AG DAT FAKT
   Bednar-Friedl B, 2015, SPRINGER CLIMATE, P279, DOI 10.1007/978-3-319-12457-5_15
   Berrittella M, 2006, TOURISM MANAGE, V27, P913, DOI 10.1016/j.tourman.2005.05.002
   Beuthe M, 2014, TRANSPORT RES D-TR E, V27, P6, DOI 10.1016/j.trd.2013.11.002
   Bigano A, 2008, MITIG ADAPT STRAT GL, V13, P765, DOI 10.1007/s11027-007-9139-9
   Bosello F, 2012, CLIMATIC CHANGE, V112, P63, DOI 10.1007/s10584-011-0340-1
   Chinowsky P, 2012, REV DEV ECON, V16, P448, DOI 10.1111/j.1467-9361.2012.00673.x
   Chinowsky PS, 2010, J INFRASTRUCT SYST, V16, P173, DOI 10.1061/(ASCE)IS.1943-555X.0000021
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Darwin RF, 2001, ENVIRON RESOUR ECON, V19, P113, DOI 10.1023/A:1011136417375
   de Bruin KC, 2009, CLIMATIC CHANGE, V95, P63, DOI 10.1007/s10584-008-9535-5
   Deke O, 2001, 1065 KIEL I WORLD EC
   Doll C, 2010, VULNERABILITY ASSESS
   European Union, 2012, EU TRANSP FIG STAT P
   EUROSTAT, 2014, STRUCT BUS STAT ANN
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Hallegatte S, 2007, ECOL ECON, V62, P330, DOI 10.1016/j.ecolecon.2006.06.006
   Halsnaes K, 2007, CLIMATIC CHANGE, V81, P145, DOI 10.1007/s10584-006-9221-4
   Hawkes P, 2010, P I CIVIL ENG-CIV EN, V163, P55, DOI 10.1680/cien.2010.163.5.55
   Hope CW, 2006, CLIM POLICY, V6, P537
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jongman B, 2014, NAT CLIM CHANGE, V4, P264, DOI [10.1038/NCLIMATE2124, 10.1038/nclimate2124]
   Kirshen P., 2006, Regional Climate Change and Variability: Impacts and Responses, P190
   Kirshen P, 2008, CLIMATIC CHANGE, V90, P453, DOI 10.1007/s10584-008-9398-9
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   KrompKolb H, 2014, OSTERREICHISCHER SACHSTANDSBERICHT KLIMAWANDEL 2014, BD 1-3, P1
   Larsen PH, 2008, GLOBAL ENVIRON CHANG, V18, P442, DOI 10.1016/j.gloenvcha.2008.03.005
   *LCCP, 2005, CLIM CHANG LOND TRAN
   Lofgren H, 2002, STANDARD COMPUTABLE
   Nemry F., 2012, JRC Scientific and Policy Reports
   NORDHAUS WD, 1992, SCIENCE, V258, P1315, DOI 10.1126/science.258.5086.1315
   *OCA, 2005, CLIM CHANG WILL IMP
   Paltsev Sergey., 2004, Moving from Static to Dynamic General Equilibrium Economic Models
   Pindyck RS, 2013, J ECON LIT, V51, P860, DOI 10.1257/jel.51.3.860
   Regmi MB, 2011, ENVIRON ECON POLICY, V13, P21, DOI 10.1007/s10018-010-0002-y
   RUTHERFORD TF, 1995, J ECON DYN CONTROL, V19, P1299, DOI 10.1016/0165-1889(94)00831-2
   Schweighofer J, 2014, NAT HAZARDS, V72, P23, DOI 10.1007/s11069-012-0541-6
   Shoven J.B.J. Whalley., 1992, Applying General Equilibrium
   Sims R, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P599
   Steininger K.W., 2015, Economic Evaluation of Climate Change Impacts
   Tol RichardS.J., 1997, Environmental Modelling and Assessment, V2, P151, DOI [DOI 10.1023/A:1019017529030, 10.1023/A:1019017529030]
   Watkiss P., 2011, The ClimateCost Project, Final Report" Volume, V1
NR 55
TC 16
Z9 18
U1 2
U2 18
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD MAR
PY 2017
VL 17
IS 3
BP 929
EP 940
DI 10.1007/s10113-016-1089-x
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EM0EG
UT WOS:000394991000025
OA hybrid
DA 2025-01-10
ER

PT C
AU Dindar, S
   Kaewunruen, S
   Sussman, JM
AF Dindar, Serdar
   Kaewunruen, Sakdirat
   Sussman, Joseph M.
BE Petriaev, A
   Konon, A
TI Climate Change Adaptation for GeoRisks Mitigation of Railway Turnout
   Systems
SO PROCEEDINGS OF THE INTERNATIONAL SCIENTIFIC CONFERENCE TRANSPORTATION
   GEOTECHNICS AND GEOECOLOGY (TGG-2017)
SE Procedia Engineering
LA English
DT Proceedings Paper
CT International Scientific Conference on Transportation Geotechnics and
   Geoecology (TGG)
CY MAY 17-19, 2017
CL Saint Petersburg, RUSSIA
SP Emperor Alexander I St Petersburg State Transport Univ, Russian Soc Soil Mech Geotechn & Fdn
DE natural hazards; bayesian network; railway turnout; switch and crossing;
   trackbed failures
AB To enhance rail operational flexibility, railway turnouts are special track systems, which are designed to divert or change a train from a particular direction or a particular track onto other directions or other tracks. In reality, the railway turnout is commonly built on complex track geometry and graded terrain, which makes it one of the most unique and critical railway infrastructures. The physical constraints and complexity of turnout systems cause various risks and uncertainty in rail operations. This study critically analyses emerging geotechnical risks on turnout systems considering all aspects that can potentially result in impaired reliability, availability, maintainability and safety (RAMS) of the turnout systems. The annual derailment incidents have been evaluated to identify emerging risk factors. Not only do these incidents yield operational downtime and financial losses, but they also give rise to the casualties and sometimes the loss of lives across the world. In particular, the climate change risks on geotechnical aspects of the turnout systems have been highlighted. This paper thus presents how turnout components work as a system, the diversity of emerging risks considering natural hazards and global warming potential to the system. In addition, it highlights the climate change adaptation strategies for georisk mitigation of the railway turnout systems in order to improve RAMS of the railway turnouts and crossings, focusing on trackbed failures on the systems. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Dindar, Serdar; Kaewunruen, Sakdirat] Univ Birmingham, Sch Civil Engn, Birmingham, W Midlands, England.
   [Sussman, Joseph M.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
C3 University of Birmingham; Massachusetts Institute of Technology (MIT)
RP Kaewunruen, S (corresponding author), Univ Birmingham, Sch Civil Engn, Birmingham, W Midlands, England.
EM s.kaewunruen@bham.ac.uk
RI DINDAR, SERDAR/GYV-4420-2022; Kaewunruen, Sakdirat/A-6793-2008
OI DINDAR, SERDAR/0000-0002-0368-2014; Kaewunruen,
   Sakdirat/0000-0003-2153-3538
FU British Department for Transport (DfT) for Transport - Technology
   Research Innovations Grant Scheme [RCS15/0233]; University of
   Birmingham; Japan Society for the Promotion of Science (JSPS) [L15701];
   European Commission [691135]; University of Illinois at Urbana Champaign
FX The authors would also like to thank British Department for Transport
   (DfT) for Transport - Technology Research Innovations Grant Scheme,
   Project No. RCS15/0233; and the BRIDGE Grant (provided by University of
   Birmingham and the University of Illinois at Urbana Champaign). The
   second author gratefully acknowledges the Japan Society for the
   Promotion of Science (JSPS) for his JSPS Invitation Research Fellowship
   (Long-term), Grant No L15701, at Track Dynamics Laboratory, Railway
   Technical Research Institute and at Concrete Laboratory, the University
   of Tokyo, Tokyo, Japan. The authors are sincerely grateful to the
   European Commission for the financial sponsorship of the H2020-RISE
   Project No. 691135 "RISEN: Rail Infrastructure Systems Engineering
   Network", which enables a global research network that tackles the grand
   challenge of railway infrastructure resilience and advanced sensing in
   extreme environments (www.risen2rail.eu) [10].
CR Dindar S., 2018, Journal of Risk Research, V21, P974, DOI [10.1080/13669877.2016.1264452, DOI 10.1080/13669877.2016.1264452]
   Dindar S, 2016, PROCEDIA ENGINEER, V161, P1254, DOI 10.1016/j.proeng.2016.08.561
   Fitri M. I., SONGKHL THAILAND P 2
   Halcrow Group Limited, 2008, IND REP REP MAND COA
   O'Brien A., 2007, P 14 INT C SOIL MECH
   Rushton KR, 2016, P I CIVIL ENG-TRANSP, V169, P118, DOI 10.1680/jtran.15.00061
   Selig E T., 1994, Track technology and substructure management
   Usman K, 2015, PROCEDIA ENGINEER, V125, P547, DOI 10.1016/j.proeng.2015.11.060
   Wang P., 2023, Design Theory and Practice of High-Speed Railway Turnouts, V3th
NR 9
TC 9
Z9 9
U1 1
U2 16
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1877-7058
J9 PROCEDIA ENGINEER
PY 2017
VL 189
BP 199
EP 206
DI 10.1016/j.proeng.2017.05.032
PG 8
WC Engineering, Civil; Engineering, Geological; Transportation Science &
   Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Transportation
GA BI0JB
UT WOS:000404872700031
OA gold
DA 2025-01-10
ER

PT J
AU Dey, MM
   Gosh, K
   Valmonte-Santos, R
   Rosegrant, MW
   Chen, OL
AF Dey, Madan Mohan
   Gosh, Kamal
   Valmonte-Santos, Rowena
   Rosegrant, Mark W.
   Chen, Oai Li
TI Economic impact of climate change and climate change adaptation
   strategies for fisheries sector in Fiji
SO MARINE POLICY
LA English
DT Article
DE Economic modeling; Aquaculture; Natural resource management; Fish
   aggregating devices; Fiji
ID CORAL TRIANGLE COUNTRIES; REEF; POPULATIONS; MODEL; FISH
AB Capture fisheries and aquaculture sectors have played major roles in the national economy and food security of Fiji. But climate change may place substantial stress on these sectors within this archipelago. This paper assesses the potential economic impact of two important climate change adaptation strategies in Fiji, natural resource management (NRM) and aquaculture, using a market fish supply-demand model. The model undertakes a comparative analysis of alternative fisheries development scenarios for 2035 and 2050, while taking account of the impact of climate change on the fisheries sector. The modeling and scenario analyses show that promoting aquaculture can help raise aggregate fish production, consumption, and trade. However, the required increases in aquaculture could be massive. While aqua culture development alone is unlikely to meet the growing excess demand for fish in Fiji, it will be an important component in adapting to the negative effects of climate change on capture fisheries. Various NRM strategies, such as marine protected areas (MPAs) and locally managed marine areas (LMMA5), are projected to have positive impacts in Fiji, expanding the stock and catch of fish. But current efforts on various NRM strategies are too small to have any meaningful impact to reverse the declining trends of coastal fisheries catch. Efforts would need to be greatly scaled-up to achieve significant production gains. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Dey, Madan Mohan; Chen, Oai Li] Univ Arkansas Pine Bluff, Aquaculture Fisheries Ctr Excellence, Mail Slot 4912,1200 N Univ Dr, Pine Bluff, AR 71601 USA.
   [Gosh, Kamal] Auburn Univ, Sch Fisheries Aquaculture & Aquat Sci, Auburn, AL 36849 USA.
   [Valmonte-Santos, Rowena; Rosegrant, Mark W.] Int Food Policy Res Inst, Environm & Prod Technol Div, Washington, DC USA.
C3 University of Arkansas System; University Arkansas Pine Bluff; Auburn
   University System; Auburn University; CGIAR; International Food Policy
   Research Institute (IFPRI)
RP Dey, MM (corresponding author), Univ Arkansas Pine Bluff, Aquaculture Fisheries Ctr Excellence, Mail Slot 4912,1200 N Univ Dr, Pine Bluff, AR 71601 USA.
EM deym@uapb.edu
OI Dey, Madan/0000-0001-5273-2789; Gosh, Kamal/0000-0003-2979-2526
FU Asian Development Bank (ADB) Technical Assistance on "Strengthening
   Coastal and Marine Resources Management in the Coral Triangle of the
   Pacific (Phase 2)" [7753]; United States Agency for International
   Development (USAID)
FX This work was funded by the Asian Development Bank (ADB) Technical
   Assistance 7753 on "Strengthening Coastal and Marine Resources
   Management in the Coral Triangle of the Pacific (Phase 2)" and by the
   United States Agency for International Development (USAID). Advice from
   Dr. Carole Engle and Dr. Robert Pomeroy are gratefully acknowledged.
CR Ahmed M., 2011, PACIFIC STUDIES SERI
   [Anonymous], 2013, AFR DEV IND 2012 201
   [Anonymous], 2011, VULNERABILITY TROPIC
   [Anonymous], 2009, Review of economic and livelihood impact assessments of, and adaptation to, climate change in Melanesia
   Bell JD, 2011, VULNERABILITY TROPIC, P925
   Bell JD, 2013, NAT CLIM CHANGE, V3, P591, DOI 10.1038/NCLIMATE1838
   Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002
   Clements C, 2012, MAR ECOL PROG SER, V449, P233, DOI 10.3354/meps09554
   Davetanivalu J., 2013, FIN REG WORKSH CLIM
   Dey MM, 2016, MAR POLICY, V67, P156, DOI 10.1016/j.marpol.2015.12.011
   Dey MM, 2008, WORLDFISH CTR STUDIE, P180
   FAO (Food and Agricultural Organization), 2012, FISHSTATJ FISH STAT
   FAO (Food and Agricultural Organization), REP FIJ COUNTR PROF
   Gehrke P.C., 2011, VULNERABILITY TROPIC, P925
   Gillett R., 2016, Fisheries in the Economies of Pacific Island Countries and Territories
   Goetze JS, 2011, CORAL REEFS, V30, P507, DOI 10.1007/s00338-011-0732-8
   GOF-NCCAS, 2012, REP FIJ NAT CLIM CHA
   GOK, 2016, CATCH ASS SURV MAR C
   Govan H., 2009, Status and potential of locally-managed marine areas in the South Pacific: Meeting nature conservation and sustainable livelihood targets through wide-spread implementation of LMMAs, P95
   Hand T., 2005, FISHERIES SECTOR REV
   Hunt C, 1999, MAR POLICY, V23, P571, DOI 10.1016/S0308-597X(98)00044-X
   Jupiter SD, 2012, CORAL REEFS, V31, P321, DOI 10.1007/s00338-012-0888-x
   Jupiter Stacy D., 2011, J MAR BIOL
   Lehodey P., 2011, VULNERABILITY TROPIC, P925
   Lehodey P, 2008, PROG OCEANOGR, V78, P304, DOI 10.1016/j.pocean.2008.06.004
   Pascal N., 2012, ANAL EC BENEFITS MAR
   Pickering T. D., 2011, VULNERABILITY TROPIC, P925
   Pratchett M. S., 2011, VULNERABILITY TROPIC, P925
   Ram-Bidesi V., 2011, EC COASTAL ZONE MANA, P113
   Rasher DB, 2012, OECOLOGIA, V169, P187, DOI 10.1007/s00442-011-2174-y
   Rasher DB, 2011, P NATL ACAD SCI USA, V108, P17726, DOI 10.1073/pnas.1108628108
   Rasher DB, 2010, P NATL ACAD SCI USA, V107, P9683, DOI 10.1073/pnas.0912095107
   SPC (Secretariat of the Pacific Commission), 2012, REP FIJ NAT CLIM CHA
   Tawake A., 2001, Conservation Biology in Practice, V2, P32, DOI [DOI 10.1111/J.1526-4629.2001.TB00020.X, 10.1111/j.15264629.2001.tb00020.x, DOI 10.1111/J.15264629.2001.TB00020.X]
   Valmonte-Santos R, 2016, MAR POLICY, V67, P148, DOI 10.1016/j.marpol.2015.12.022
   Waqairagata F., 2011, P 2 FIJ CONS SCI FOR, P56
NR 36
TC 22
Z9 26
U1 2
U2 62
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD MAY
PY 2016
VL 67
BP 164
EP 170
DI 10.1016/j.marpol.2015.12.023
PG 7
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA DI7BX
UT WOS:000373655200017
OA hybrid
DA 2025-01-10
ER

PT J
AU Lafond, V
   Lagarrigues, G
   Cordonnier, T
   Courbaud, B
AF Lafond, Valentine
   Lagarrigues, Guillaume
   Cordonnier, Thomas
   Courbaud, Benoit
TI Uneven-aged management options to promote forest resilience for climate
   change adaptation: effects of group selection and harvesting intensity
SO ANNALS OF FOREST SCIENCE
LA English
DT Article
DE Forest resilience; Climate change adaptation; Uneven-aged selection
   forest; Thinning and harvesting algorithm; Forest dynamics modeling
ID NORWAY SPRUCE FOREST; SIMULATION-MODELS; GROWTH-MODEL; DYNAMICS; STAND;
   SYSTEM; CAPSIS; REGENERATION; RECRUITMENT; DIVERSITY
AB Climate change is expected to increase forest vulnerability through disturbances such as windstorms and droughts. Forest managers are therefore investigating strategies to increase forest resistance and resilience, especially by promoting uneven-aged and mixed forests through group selection, and by reducing stand stocking and large trees proportion. However, there is little information on the long-term impacts of these two practices.
   The objectives of this study were (1) to develop an original silviculture algorithm designed for uneven-aged management and (2) to use it to assess the effects of the above-mentioned management methods in long-term simulations.
   We simulated individual and group selection techniques in order to study the effects of group size, harvesting intensity and their interactions on wood production, stand heterogeneity, and regeneration in mountain spruce-fir forests. We used the spatially explicit individual-based forest model Samsara2 to simulate forest dynamics.
   Our simulation results confirmed the positive effect of group selection practices on structure diversity and regeneration but not on spruce maintenance. Increasing harvesting intensity enabled forest destocking but decreased structure diversity and led to non-sustained yields for the most intensive scenarios.
   As adaptation measure, we thus recommend moderate group selection harvesting creating 500 m(2) gaps.
C1 [Lafond, Valentine; Lagarrigues, Guillaume; Cordonnier, Thomas; Courbaud, Benoit] Irstea EMGR, F-38402 St Martin Dheres, France.
C3 INRAE
RP Lafond, V (corresponding author), Irstea EMGR, 2 Rue Papeterie,BP 76, F-38402 St Martin Dheres, France.
EM valentine.lafond@irstea.fr
RI Cordonnier, Thomas/I-2586-2019
OI Lafond, Valentine/0000-0002-1160-7129; Lagarrigues,
   Guillaume/0000-0002-6551-9175; Cordonnier, Thomas/0000-0003-3684-4662
FU GeForHet project from the French research program "Biodiversity, Forest
   Management and Public Policy" (BGF) [E23/2010]; European Research
   project "Advanced multifunctional forest management in European mountain
   ranges" (ARANGE) [289437]
FX This work was financially supported by both the GeForHet project (no
   E23/2010), from the French research program "Biodiversity, Forest
   Management and Public Policy" (BGF), and by the European Research
   project "Advanced multifunctional forest management in European mountain
   ranges" (ARANGE, no 289437).
CR Andersson M, 2005, COMPUT ELECTRON AGR, V49, P114, DOI 10.1016/j.compag.2005.02.006
   [Anonymous], 2006, GUIDE SYLVICULTURES
   Arii K, 2008, ECOL MODEL, V211, P251, DOI 10.1016/j.ecolmodel.2007.09.007
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bohn KK, 2011, CAN J FOREST RES, V41, P963, DOI [10.1139/x11-027, 10.1139/X11-027]
   Bolton NW, 2011, FOREST ECOL MANAG, V262, P1215, DOI 10.1016/j.foreco.2011.06.019
   BURSCHEL P, 1992, FOR SCI, V40, P183
   CLARK PJ, 1954, ECOLOGY, V35, P445, DOI 10.2307/1931034
   Coates KD, 2002, FOREST ECOL MANAG, V155, P387, DOI 10.1016/S0378-1127(01)00574-6
   Cordonnier T, 2008, FOREST ECOL MANAG, V256, P347, DOI 10.1016/j.foreco.2008.04.028
   Courbaud B, 2003, AGR FOREST METEOROL, V116, P1, DOI 10.1016/S0168-1923(02)00254-X
   Courbaud B, 2001, FOREST ECOL MANAG, V145, P15, DOI 10.1016/S0378-1127(00)00571-5
   DeClerck FAJ, 2006, ECOLOGY, V87, P2787, DOI 10.1890/0012-9658(2006)87[2787:SRASSI]2.0.CO;2
   Diaci J, 2011, FOREST ECOL MANAG, V262, P931, DOI 10.1016/j.foreco.2011.05.024
   Dreyfus P, 2012, ANN FOREST SCI, V69, P283, DOI 10.1007/s13595-011-0163-2
   Duduman G, 2011, FORESTRY, V84, P301, DOI 10.1093/forestry/cpr014
   Dufour-Kowalski S, 2012, ANN FOREST SCI, V69, P221, DOI 10.1007/s13595-011-0140-9
   Fuhr M, 2012, LARGE GAPS DYNAMIC M
   Ganio L. M., 2008, Journal of Sustainable Forestry, V26, P1, DOI 10.1300/J091v26n01_01
   Goreaud F, 2006, SIMUL-T SOC MOD SIM, V82, P475, DOI 10.1177/0037549706070397
   Grassi G, 2004, CAN J FOREST RES, V34, P141, DOI 10.1139/X03-197
   Jactel H, 2007, ECOL LETT, V10, P835, DOI 10.1111/j.1461-0248.2007.01073.x
   Jactel H, 2009, ANN FOREST SCI, V66, DOI 10.1051/forest/2009054
   Lafond V, 2012, ANN FOREST SCI, V69, P235, DOI 10.1007/s13595-011-0155-2
   Legay M., 2007, RenDez-Vous Techniques, P95
   Loisel P, 2011, J FOREST ECON, V17, P235, DOI 10.1016/j.jfe.2011.02.001
   Motta R, 2000, MT RES DEV, V20, P180, DOI 10.1659/0276-4741(2000)020[0180:PFASS]2.0.CO;2
   O'Hara Kevin L., 2006, Forest Snow and Landscape Research, V80, P45
   O'Hara KL, 2007, FORESTRY, V80, P163, DOI 10.1093/forestry/cpl051
   Peng CH, 2000, ENVIRON IMPACT ASSES, V20, P481, DOI 10.1016/S0195-9255(99)00044-X
   Pretzsch H, 2008, ANN BOT-LONDON, V101, P1065, DOI 10.1093/aob/mcm246
   Puettmann KJ, 2011, J FOREST, V109, P321
   Schutz JP, 1997, SILVICULTURE 2 MANAG
   Seidl R, 2011, GLOBAL CHANGE BIOL, V17, P2842, DOI 10.1111/j.1365-2486.2011.02452.x
   Seidl R, 2011, CAN J FOREST RES, V41, P694, DOI [10.1139/X10-235, 10.1139/x10-235]
   Seidl R, 2011, CLIMATIC CHANGE, V106, P225, DOI 10.1007/s10584-010-9899-1
   Söderbergh I, 2003, COMPUT ELECTRON AGR, V39, P115, DOI 10.1016/S0168-1699(03)00022-X
   Sohn JA, 2012, TREE PHYSIOL, V32, P1199, DOI 10.1093/treephys/tps077
   Valbuena R, 2012, FOREST ECOL MANAG, V276, P185, DOI 10.1016/j.foreco.2012.03.036
   Vieilledent G, 2010, OECOLOGIA, V163, P759, DOI 10.1007/s00442-010-1581-9
   Webster CR, 2005, ECOL APPL, V15, P1245, DOI 10.1890/04-0763
NR 41
TC 67
Z9 73
U1 1
U2 92
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1286-4560
EI 1297-966X
J9 ANN FOREST SCI
JI Ann. For. Sci.
PD MAR
PY 2014
VL 71
IS 2
SI SI
BP 173
EP 186
DI 10.1007/s13595-013-0291-y
PG 14
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA AB3RC
UT WOS:000331706900008
DA 2025-01-10
ER

PT J
AU Aykal, G
AF Aykal, Guzin
TI Green transformation in the health sector and medical laboratories,
   adaptation to climate change in Türkiye
SO TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI
LA English
DT Article
DE carbon footprint; climate change; developing country; green laboratory;
   sustainability
AB Societal habits' continuation is expected to result in severe consequences for climate change, causing significant environmental damage and humanitarian crises. Sustainability, defined as meeting present needs without compromising future generations, balances environment, equity, and economy. Turkiye, a middle-income developing country, has committed to achieving net-zero emissions by 2053 under the United Nations' framework. The construction sector is increasingly adopting eco-friendly practices, emphasizing green buildings and structures. Several green hospital certification systems, including BREEAM, LEED, and Australian Green Star, are now in use, with around 20 certified "green hospitals" in Turkiye. The "Zero Waste Project" initiated in Turkiye aims to reduce waste generation and resource usage efficiently. Recent efforts have focused on sustainability in high-carbon footprint medical laboratories, however, an international standard has not been established yet. Clinical chemistry and laboratory medicine federations have established working groups on the subject. Universities and nonprofits worldwide offer green laboratory certificate programs covering energy conservation, green chemistry, waste management, and water conservation. Laboratories' sustainability efforts encompass inventory management, green purchasing, test request reduction, greenhouse gas management, efficient building design, transportation choices, carbon footprint calculations, and education. The guides published in Turkiye are "Health Institutions Wastewater/Liquid Waste Management Handbook" and "Guide for Laboratory and Dialysis Wastes". Turkiye's Ministry of Health introduced the "Rational Test Request Procedure" to enhance diagnostic accuracy and cost-effectiveness by reducing unnecessary tests. Collective efforts are essential to raise awareness and implement precautions, particularly in high-carbon footprint medical laboratories, addressing climate change and sustainability challenges in the healthcare sector.
C1 [Aykal, Guzin] Univ Hlth Sci, Hamidiye Med Fac, Istanbul, Turkiye.
   [Aykal, Guzin] Antalya Training & Res Hosp, Dept Biochem, Antalya, Turkiye.
C3 University of Health Sciences Turkey; Antalya Training & Research
   Hospital
RP Aykal, G (corresponding author), Univ Hlth Sci, Hamidiye Med Fac, Istanbul, Turkiye.; Aykal, G (corresponding author), Antalya Training & Res Hosp, Dept Biochem, Antalya, Turkiye.
EM guzinaykal@yahoo.com
RI Aykal, Güzin/AED-4990-2022
OI Aykal, Guzin/0000-0002-2413-2695
CR [Anonymous], 2002, GUID CLIM CHANG CONV
   antalya bel tr, SUSTAINABLE ENERGY C
   Badrick T, 2022, AM J CLIN PATHOL, V158, P322, DOI 10.1093/ajcp/aqac056
   Cilhoroz Y, 2019, SAGLIK BILIMLERI MES, V6, P161
   EFLM Green Labs, US
   Laboratory Efficiency Assessment Frameworkle, US
   Republic of Turkiye Ministry of Environment, URB CLIM CHANG DIR C
   shgmtetkikdb saglik gov tr, AKILCI LABORATUVAR K
   Turkish Biochemical Society, US
   Zero waste, ABOUT US
NR 10
TC 0
Z9 0
U1 7
U2 14
PU WALTER DE GRUYTER GMBH
PI BERLIN
PA GENTHINER STRASSE 13, D-10785 BERLIN, GERMANY
SN 0250-4685
EI 1303-829X
J9 TURK J BIOCHEM
JI Turk. J. Biochem.
PD FEB 29
PY 2024
VL 49
IS 1
BP 15
EP 19
DI 10.1515/tjb-2023-0207
EA DEC 2023
PG 5
WC Biochemistry & Molecular Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology
GA KJ4J5
UT WOS:001126309400001
OA gold
DA 2025-01-10
ER

PT J
AU Lorenzo, CD
   Debray, K
   Herwegh, D
   Develtere, W
   Impens, L
   Schaumont, D
   Vandeputte, W
   Aesaert, S
   Coussens, G
   De Boe, Y
   Demuynck, K
   Van Hautegem, T
   Pauwels, L
   Jacobs, TB
   Ruttink, T
   Nelissen, H
   Inzé, D
AF Lorenzo, Christian Damian
   Debray, Kevin
   Herwegh, Denia
   Develtere, Ward
   Impens, Lennert
   Schaumont, Dries
   Vandeputte, Wout
   Aesaert, Stijn
   Coussens, Griet
   De Boe, Yara
   Demuynck, Kirin
   Van Hautegem, Tom
   Pauwels, Laurens
   Jacobs, Thomas B.
   Ruttink, Tom
   Nelissen, Hilde
   Inze, Dirk
TI BREEDIT: a multiplex genome editing strategy to improve complex
   quantitative traits in maize
SO PLANT CELL
LA English
DT Article
ID TRANSCRIPTION FACTORS; GIBBERELLIC-ACID; CELL-DIVISION; SIZE CONTROL;
   LEAF GROWTH; OVEREXPRESSION; FUTURE; YIELD; IMPACTS; PROTEIN
AB Ensuring food security for an ever-growing global population while adapting to climate change is the main challenge for agriculture in the 21st century. Although new technologies are being applied to tackle this problem, we are approaching a plateau in crop improvement using conventional breeding. Recent advances in CRISPR/Cas9-mediated gene engineering have paved the way to accelerate plant breeding to meet this increasing demand. However, many traits are governed by multiple small-effect genes operating in complex interactive networks. Here, we present the gene discovery pipeline BREEDIT, which combines multiplex genome editing of whole gene families with crossing schemes to improve complex traits such as yield and drought tolerance. We induced gene knockouts in 48 growth-related genes into maize (Zea mays) using CRISPR/Cas9 and generated a collection of over 1,000 gene-edited plants. The edited populations displayed (on average) 5%-10% increases in leaf length and up to 20% increases in leaf width compared with the controls. For each gene family, edits in subsets of genes could be associated with enhanced traits, allowing us to reduce the gene space to be considered for trait improvement. BREEDIT could be rapidly applied to generate a diverse collection of mutants to identify promising gene modifications for later use in breeding programs.
   BREEDIT is a gene discovery pipeline that combines multiplex CRISPR/Cas9 genome editing of whole gene families with crossing schemes to improve complex quantitative traits.
C1 [Lorenzo, Christian Damian; Debray, Kevin; Herwegh, Denia; Develtere, Ward; Impens, Lennert; Vandeputte, Wout; Aesaert, Stijn; Coussens, Griet; De Boe, Yara; Demuynck, Kirin; Van Hautegem, Tom; Pauwels, Laurens; Jacobs, Thomas B.; Nelissen, Hilde; Inze, Dirk] VIB, Ctr Plant Syst Biol, B-9052 Ghent, Belgium.
   [Lorenzo, Christian Damian; Debray, Kevin; Herwegh, Denia; Develtere, Ward; Impens, Lennert; Vandeputte, Wout; Aesaert, Stijn; Coussens, Griet; De Boe, Yara; Demuynck, Kirin; Van Hautegem, Tom; Pauwels, Laurens; Jacobs, Thomas B.; Nelissen, Hilde; Inze, Dirk] Univ Ghent, Dept Plant Biotechnol & Bioinformat, B-9052 Ghent, Belgium.
   [Schaumont, Dries; Ruttink, Tom] Flanders Res Inst Agr Fisheries & Food ILVO, B-9820 Merelbeke, Belgium.
C3 Flanders Institute for Biotechnology (VIB); Ghent University; Institute
   For Agricultural & Fisheries Research
RP Inzé, D (corresponding author), VIB, Ctr Plant Syst Biol, B-9052 Ghent, Belgium.; Inzé, D (corresponding author), Univ Ghent, Dept Plant Biotechnol & Bioinformat, B-9052 Ghent, Belgium.
RI Pauwels, Laurens/Y-4080-2019; Lorenzo, Christian/IWD-6483-2023; Jacobs,
   Thomas B./AAW-6427-2021; Develtere, Ward/JWA-5273-2024; Inzé,
   Dirk/AAW-6381-2021; Nelissen, Hilde/F-4155-2018
OI Lorenzo, Christian Damian/0000-0003-3954-0234; Pauwels,
   Laurens/0000-0002-0221-9052; Develtere, Ward/0000-0002-7171-8031;
   Herwegh, Denia/0000-0001-7744-6375; Debray, Kevin/0000-0003-2898-9415;
   Nelissen, Hilde/0000-0001-7494-1290; Schaumont,
   Dries/0000-0002-4389-0440; impens, lennert/0000-0002-6330-4744; Inze,
   Dirk/0000-0002-3217-8407; Jacobs, Thomas B./0000-0002-5408-492X;
   Vandeputte, Wout/0000-0001-7813-3645
FU European Research Council (ERC) under the European Union
   [833866-BREEDIT]
FX This work was supported by the European Research Council (ERC) under the
   European Union's Horizon 2020 Research and Innovation Programme
   (H2020/2019-2025) under grant agreement No. 833866-BREEDIT.
CR Aesaert S, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.883847
   Anzalone AV, 2020, NAT BIOTECHNOL, V38, P824, DOI 10.1038/s41587-020-0561-9
   Ashikari M, 2005, SCIENCE, V309, P741, DOI 10.1126/science.1113373
   Bai MY, 2020, PLANT BIOTECHNOL J, V18, P721, DOI 10.1111/pbi.13239
   Bartrina I, 2011, PLANT CELL, V23, P69, DOI 10.1105/tpc.110.079079
   Baute J, 2016, PLANT PHYSIOL, V170, P1848, DOI 10.1104/pp.15.01883
   Baute J, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0735-9
   Berendzen K, 2005, PLANT METHODS, V1, DOI 10.1186/1746-4811-1-4
   Bessoltane N, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-13034-2
   Bhat JA, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02782-y
   Bloch D, 2019, DEVELOPMENT, V146, DOI 10.1242/dev.177097
   Borg M, 2015, PLANT J, V83, P177, DOI 10.1111/tpj.12856
   Brás TA, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abf004
   Cao L, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007230
   Chaikam V, 2019, THEOR APPL GENET, V132, P3227, DOI [10.1007/s00122-019-03433-x, 10.1007]
   Cheng Y, 2013, PLANT J, V75, P642, DOI 10.1111/tpj.12228
   Colombo N, 1996, EUPHYTICA, V91, P297, DOI 10.1007/BF00033091
   Coussens G, 2012, J EXP BOT, V63, P4263, DOI 10.1093/jxb/ers113
   Czesnick H, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a019190
   Decaestecker W, 2019, PLANT CELL, V31, P2868, DOI 10.1105/tpc.19.00454
   Dima O, 2021, CURR BIOL, V31, pR218, DOI 10.1016/j.cub.2021.01.090
   Doll NM, 2019, PLANT CELL REP, V38, P487, DOI 10.1007/s00299-019-02378-1
   Firew Elias Firew Elias, 2016, Journal of Agricultural Science (Toronto), V8, P204, DOI 10.5539/jas.v8n10p204
   Gaillochet C, 2021, PLANT CELL, V33, P794, DOI 10.1093/plcell/koab099
   Gong P, 2022, PLANT PHYSIOL, V188, P411, DOI 10.1093/plphys/kiab514
   Gong R, 2018, PLANT J, V94, P32, DOI 10.1111/tpj.13837
   Gonzalez N, 2012, TRENDS PLANT SCI, V17, P332, DOI 10.1016/j.tplants.2012.02.003
   He ZH, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20143573
   Houbaert A, 2018, NATURE, V563, P574, DOI 10.1038/s41586-018-0714-x
   Huang Y, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0490-2
   Hwang BG, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00941
   Ikeda A, 2001, PLANT CELL, V13, P999, DOI 10.1105/tpc.13.5.999
   Impens L, 2022, FRONT GENOME EDIT, V4, DOI 10.3389/fgeed.2022.825042
   Itoh H, 2005, PLANT J, V44, P669, DOI 10.1111/j.1365-313X.2005.02562.x
   Jacobs TB, 2017, PLANT PHYSIOL, V174, P2023, DOI 10.1104/pp.17.00489
   Jacquier NMA, 2020, NAT PLANTS, V6, P610, DOI 10.1038/s41477-020-0664-9
   Jiao YP, 2017, NATURE, V546, P524, DOI 10.1038/nature22971
   Karimi M, 2013, TRENDS PLANT SCI, V18, P1, DOI 10.1016/j.tplants.2012.10.001
   Knott GJ, 2018, SCIENCE, V361, P866, DOI 10.1126/science.aat5011
   Koyama T, 2017, PLANT PHYSIOL, V175, P874, DOI 10.1104/pp.17.00732
   Lampropoulos A, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083043
   Lan JQ, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21124498
   Lawit SJ, 2010, PLANT CELL PHYSIOL, V51, P1854, DOI 10.1093/pcp/pcq153
   Lee K, 2019, PLANT BIOTECHNOL J, V17, P362, DOI 10.1111/pbi.12982
   Li C, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00442
   Li J, 2020, J GENET GENOMICS, V47, P263, DOI 10.1016/j.jgg.2020.05.004
   Li N, 2016, CURR OPIN PLANT BIOL, V33, P23, DOI 10.1016/j.pbi.2016.05.008
   Li WQ, 2016, TRENDS PLANT SCI, V21, P548, DOI 10.1016/j.tplants.2016.05.006
   Li YD, 2021, PLANT PHYSIOL BIOCH, V166, P621, DOI 10.1016/j.plaphy.2021.06.043
   Liebsch D, 2020, CURR OPIN PLANT BIOL, V53, P31, DOI 10.1016/j.pbi.2019.09.008
   Liu HJ, 2020, PLANT CELL, V32, P1397, DOI 10.1105/tpc.19.00934
   Liu L, 2021, NAT PLANTS, V7, P287, DOI 10.1038/s41477-021-00858-5
   Long SP, 2015, CELL, V161, P56, DOI 10.1016/j.cell.2015.03.019
   Lu YM, 2017, MOL PLANT, V10, P1242, DOI 10.1016/j.molp.2017.06.007
   McConnell JR, 2001, NATURE, V411, P709, DOI 10.1038/35079635
   Meng XB, 2017, MOL PLANT, V10, P1238, DOI 10.1016/j.molp.2017.06.006
   Mickelbart MV, 2015, NAT REV GENET, V16, P237, DOI 10.1038/nrg3901
   Miculan M, 2021, PLANT J, V107, P1056, DOI 10.1111/tpj.15364
   Mills A., 2020, BIO-PROTOCOL, V101, DOI DOI 10.21769/BIOPROTOC.3553
   Nelissen H, 2020, PLANT BIOTECHNOL J, V18, P1112, DOI 10.1111/pbi.13269
   Nelissen H, 2015, PLANT CELL, V27, P1605, DOI 10.1105/tpc.15.00269
   Nelissen H, 2012, CURR BIOL, V22, P1183, DOI 10.1016/j.cub.2012.04.065
   Hai NN, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9040422
   Nuccio ML, 2018, PLANT SCI, V273, P110, DOI 10.1016/j.plantsci.2018.01.020
   Paul BK, 2018, AGR SYST, V163, P16, DOI 10.1016/j.agsy.2017.02.007
   Poland J, 2016, ANNU REV PHYTOPATHOL, V54, P79, DOI 10.1146/annurev-phyto-080615-100056
   Qin F, 2011, PLANT PHYSIOL, V157, P1900, DOI 10.1104/pp.111.187302
   Ramadan M, 2021, PLANT METHODS, V17, DOI 10.1186/s13007-021-00712-x
   Rasheed A, 2017, MOL PLANT, V10, P1047, DOI 10.1016/j.molp.2017.06.008
   Rida S, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10091786
   Rodríguez-Leal D, 2017, CELL, V171, P470, DOI 10.1016/j.cell.2017.08.030
   Sarvepalli K, 2018, IUBMB LIFE, V70, P718, DOI 10.1002/iub.1874
   Schaumont D., 2022, BIORXIV, V2022, P03, DOI 10.483555
   Simmons CR, 2021, PLANT SCI, V307, DOI 10.1016/j.plantsci.2021.110899
   Snowdon R, 2021, THEOR APPL GENET, V134, P1613, DOI 10.1007/s00122-020-03729-3
   Sun XH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14752
   Teixeira FF., 2021, WILD GERMPLASM GENET, P81, DOI DOI 10.1016/B978-0-12-822137-2.00005-9
   Torella JP, 2014, NAT PROTOC, V9, P2075, DOI 10.1038/nprot.2014.145
   VANBEL M, 2022, NUCLEIC ACIDS RES, V50
   Vanhaeren H, 2017, PLANT PHYSIOL, V173, P1269, DOI 10.1104/pp.16.01410
   Vanhaeren H, 2014, ELIFE, V3, DOI 10.7554/eLife.02252
   Vats S, 2019, CELLS-BASEL, V8, DOI 10.3390/cells8111386
   Verbraeken L, 2021, PLANT PHYSIOL, V186, P1336, DOI 10.1093/plphys/kiab155
   Vercruysse J, 2020, J EXP BOT, V71, P2365, DOI 10.1093/jxb/erz522
   Voorend W, 2016, PLANT BIOTECHNOL J, V14, P997, DOI 10.1111/pbi.12458
   Voss-Fels K, 2016, PLANT BIOTECHNOL J, V14, P1086, DOI 10.1111/pbi.12456
   Wang BK, 2021, PEERJ, V9, DOI 10.7717/peerj.12478
   Wang HW, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01110
   Wang HQ, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.533046
   WINKLER RG, 1994, PLANTA, V193, P341, DOI 10.1007/BF00201811
   Wu L, 2014, J INTEGR PLANT BIOL, V56, P1053, DOI 10.1111/jipb.12220
   Xiao YJ, 2016, NEW PHYTOL, V210, P1095, DOI 10.1111/nph.13814
   Xing HL, 2014, BMC PLANT BIOL, V14, DOI 10.1186/s12870-014-0327-y
   Zhang XA, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/1/014014
   Zhang YX, 2019, NAT PLANTS, V5, P778, DOI 10.1038/s41477-019-0461-5
NR 95
TC 39
Z9 40
U1 8
U2 59
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 1040-4651
EI 1532-298X
J9 PLANT CELL
JI Plant Cell
PD JAN 2
PY 2023
VL 35
IS 1
BP 218
EP 238
DI 10.1093/plcell/koac243
EA SEP 2022
PG 21
WC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
GA 7W7TA
UT WOS:000850267400001
PM 36066192
OA Green Published, Bronze
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Buchir, LMST
   Detzel, DHM
AF Samussone Tomas Buchir, Luis Miguel
   Marco Detzel, Daniel Henrique
TI The role of the governance on the climate vulnerability index definition
   in Mozambique
SO GEOJOURNAL
LA English
DT Article
DE Climate vulnerability; Adaptive capacity; Governance; Decision-makers
ID ADAPTIVE CAPACITY; NATIONAL-LEVEL; FRAMEWORK; ADAPTATION; IMPACTS
AB According to reports from international institutions such as Intergovernmental Panel on Climate Change, United Nations Development Programme, and the World Bank, the impacts of climate change will continue affecting the Least Developed Countries (LDC) for the coming years and the less resilient countries, defined by the climate vulnerability index (CVI), will be the most vulnerable. The CVI relates the Exposure and Adaptive Capacity for a specific Hazard, offering feasible supports for decision-makers in identifying country-specific needs to adapt to climate change. However, even with this scenario, the LDCs are still unable to cope with the impact of extreme events. Therefore, the main question is, which part of Adaptive Capacity needs more effort to deal with extreme weather events? To address this issue, this paper discusses the governance role in the CVI definition, suggesting an alternative approach to assess climate vulnerability. Overall, we propose a tool, taking into account four main components: Exposure, Sensitivity, Adaptive Capacity, and Governance. In this case, the Governance component represents organizations, policies, and qualified human resources that could improve the planning and management of a specific system. More specifically, we explicitly considered the Governance component in the climate vulnerability function by adding specific indicators. As a study case, we consider Mozambique, a highly vulnerable country to the adverse impact of climate change. The results have shown that by adding the Governance component to assess climate vulnerability, the function becomes more sensitive. In conclusion, Governance is accepted as a powerful component in the CVI definition.
C1 [Samussone Tomas Buchir, Luis Miguel] Natl Directorate Climate Change, Minist Land & Environm, Maputo, Mozambique.
   [Marco Detzel, Daniel Henrique] Univ Fed Parana, Polytech Ctr, Dept Hydraul & Sanitat, Block V, Curitiba, Parana, Brazil.
C3 Universidade Federal do Parana
RP Buchir, LMST (corresponding author), Natl Directorate Climate Change, Minist Land & Environm, Maputo, Mozambique.
EM buchirmz@yahoo.com.br
RI Detzel, Daniel/U-1658-2019
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Anandhi A, 2018, J HYDROL, V557, P460, DOI 10.1016/j.jhydrol.2017.11.032
   [Anonymous], 2004, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/J.GLOENVCHA.2011.09.018
   [Anonymous], 2017, SSRN Electron. J., DOI DOI 10.2139/SSRN.2894763
   Binita KC, 2015, APPL GEOGR, V62, P62, DOI 10.1016/j.apgeog.2015.04.007
   BR, 2021, B REP MOC BR
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Chen C., 2015, Country Index Technical Report
   Dasgupta S, 2006, WORLD DEV, V34, P1597, DOI 10.1016/j.worlddev.2005.12.008
   Di Giulio GM, 2018, CITIES, V72, P237, DOI 10.1016/j.cities.2017.09.001
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   IYENGAR NS, 1982, ECON POLIT WEEKLY, V17, P2047
   Jubeh G, 2012, WATER RESOUR MANAG, V26, P4147, DOI 10.1007/s11269-012-0137-7
   Jury M.R., 2004, South African Geographical Journal, V86, P141, DOI DOI 10.1080/03736245.2004.9713818
   Krishnamurthy PK, 2014, GLOBAL ENVIRON CHANG, V25, P121, DOI 10.1016/j.gloenvcha.2013.11.004
   Luers AL, 2003, GLOBAL ENVIRON CHANG, V13, P255, DOI 10.1016/S0959-3780(03)00054-2
   Maiti S, 2017, ECOL INDIC, V77, P105, DOI 10.1016/j.ecolind.2017.02.006
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mavume AF, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050588
   Meadowcroft J., 2010, Climate Change Governance
   Mendoza MET, 2014, J ENVIRON SCI MANAG, V17, P78
   NDC, 2021, NAT DET CONTR NDC MO
   Oculi N, 2018, ENVIRON SCI POLICY, V85, P72, DOI 10.1016/j.envsci.2018.03.025
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Pareto A., 2013, Rivista Italiana Di Economia Demografia e Statistica, V67, P67
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Schellnhuber H.J., 2006, Avoiding dangerous climate change
   Uele Dionísio Inocêncio, 2017, Rev. bras. meteorol., V32, P473
   United Nations, 2007, IND SUST DEV GUID ME
   Vincent K, 2018, CLIM RISK MANAG, V21, P26, DOI 10.1016/j.crm.2018.04.005
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Worker J, 2016, NATL CLIMATE CHANGE
   World Bank, 2018, Poverty and shared prosperity 2018: Piecing together the poverty puzzle, DOI 10.1596/978-1-4648-1330-6
NR 37
TC 1
Z9 1
U1 0
U2 4
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0343-2521
EI 1572-9893
J9 GEOJOURNAL
JI GeoJournal
PD APR
PY 2023
VL 88
IS 2
BP 1687
EP 1702
DI 10.1007/s10708-022-10711-7
EA JUL 2022
PG 16
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA F8YR1
UT WOS:000826117500001
DA 2025-01-10
ER

PT J
AU Xiang, Q
   Yu, H
   Xu, XY
   Huang, H
AF Xiang, Qing
   Yu, Huan
   Xu, Xiaoyu
   Huang, Hong
TI Temporal and Spatial Differentiation of Cultivated Land and Its Response
   to Climatic Factors in Complex Geomorphic Areas-A Case Study of Sichuan
   Province of China
SO LAND
LA English
DT Article
DE cultivated land differentiation; spatiotemporal evolution; climatic
   factors; geographic detector
ID DRIVING FORCES; PATTERNS; DRIVERS
AB Analyzing the distribution characteristics and influencing factors of cultivated land in complex geomorphic areas is significant in evaluating the agricultural farming environment and formulating cultivated land protection measures. This study extracted cultivated land information based on multi-source remote sensing data, and analyzed the geomorphic differentiation of cultivated land distribution and climate response from 2000 to 2020 using the Gini coefficient, spatial autocorrelation analysis and geographic detector. The results show that cultivated land is mainly distributed in low-altitude hills and low-altitude small undulating mountains, and secondarily in low-altitude alluvial and proluvial plains and platforms. Moreover, from 2000 to 2020, the cultivated land in the high-altitude and high-altitude undulating mountains and medium and high-altitude undulating mountains in the Northwest Plateau of Sichuan showed an upward trend, while the cultivated land in the Sichuan Basin mainly increased from the north and south to the middle of the basin. In addition, the highest temperature has the strongest ability to explain the spatial heterogeneity of cultivated land. From the calculation results of the influence coefficient of a single climatic factor and the combined effect of multiple climatic factors, the main factors that affect the distribution of cultivated land are different in different geomorphological regions. Finally, it is proposed to formulate a long-term strategy for agricultural production to adapt to climate change in complex geomorphic areas in order to reduce the negative impact of environmental change on agricultural production.
C1 [Xiang, Qing; Yu, Huan] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
   [Xu, Xiaoyu] Southern Illinois Univ Carbondale, Dept Geog & Environm Resources & Environm Resourc, Carbondale, IL 62901 USA.
   [Huang, Hong] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Southern Illinois University System;
   Southern Illinois University; Chengdu University of Technology
RP Yu, H (corresponding author), Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
EM xiangqing950211@163.com; yuhuan10@cdut.edu.cn; xiaoyu.xu@siu.edu;
   huanghong940325@163.com
RI yu, huan/ITT-7452-2023
OI Xiang, Qing/0000-0002-2002-2421; Xu, Xiaoyu/0000-0001-5451-470X
CR Alexander P, 2015, GLOBAL ENVIRON CHANG, V35, P138, DOI 10.1016/j.gloenvcha.2015.08.011
   Arowolo AO, 2018, REG ENVIRON CHANGE, V18, P247, DOI 10.1007/s10113-017-1186-5
   Bennetzen EH, 2016, GLOBAL CHANGE BIOL, V22, P763, DOI 10.1111/gcb.13120
   Briner S, 2012, AGR ECOSYST ENVIRON, V149, P50, DOI 10.1016/j.agee.2011.12.011
   Dias LCP, 2016, GLOBAL CHANGE BIOL, V22, P2887, DOI 10.1111/gcb.13314
   Guo LJ, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146474
   Han JJ, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2021.107404
   Hazell P, 2008, PHILOS T R SOC B, V363, P495, DOI 10.1098/rstb.2007.2166
   Hyandye C., 2015, American Journal of Remote Sensing, V3, P6, DOI [DOI 10.11648/J.AJRRS.20150301.12, 10.11648/j.ajrs.20150301.12]
   Iqbal MA, 2016, ATMOS RES, V168, P234, DOI 10.1016/j.atmosres.2015.09.016
   Li L, 2015, J LESHAN NORM U, V30, P70, DOI [10.16069/j.cnki.51-1610/g4.2015.08.017, DOI 10.16069/J.CNKI.51-1610/G4.2015.08.017]
   [李维维 Li Weiwei], 2020, [地理科学, Scientia Geographica Sinica], V40, P437
   Liang LW, 2021, J CLEAN PROD, V310, DOI 10.1016/j.jclepro.2021.127379
   Liu CL, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193139
   Liu JY, 2010, J GEOGR SCI, V20, P483, DOI 10.1007/s11442-010-0483-4
   Meneses BM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030351
   Najmuddin O, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020423
   Pérez-Hoyos A, 2012, ISPRS J PHOTOGRAMM, V74, P185, DOI 10.1016/j.isprsjprs.2012.09.006
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Ren J, 2016, AGR SYST, V148, P149, DOI 10.1016/j.agsy.2016.07.007
   Shoyama K, 2018, ENVIRON MANAGE, V62, P892, DOI 10.1007/s00267-018-1085-7
   Song YZ, 2020, GISCI REMOTE SENS, V57, P593, DOI 10.1080/15481603.2020.1760434
   Temme AJAM, 2011, AGR ECOSYST ENVIRON, V140, P46, DOI 10.1016/j.agee.2010.11.010
   Wang H, 2019, J GEOGR SCI, V29, P271, DOI 10.1007/s11442-019-1596-z
   Wang X., 2021, CHIN AGR SCI B, V37, P110, DOI DOI 10.11924/J.ISSN.1000-6850.CASB2021-0473
   Yao ZY, 2017, J GEOGR SCI, V27, P771, DOI 10.1007/s11442-017-1405-5
   Yu HM, 2021, BMC HEALTH SERV RES, V21, DOI [10.1186/s12913-021-06348-w, 10.1186/s12890-021-01450-5]
   Yue H, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18136832
   [Zhao Yuluan 赵宇鸾], 2020, [Journal of Resources and Ecology, 资源与生态学报], V11, P59
NR 29
TC 6
Z9 8
U1 6
U2 34
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD FEB
PY 2022
VL 11
IS 2
AR 271
DI 10.3390/land11020271
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ZM7YF
UT WOS:000764567100001
OA gold
DA 2025-01-10
ER

PT B
AU D'Amico, G
   Giannetti, F
   Vangi, E
   Borghi, C
   Francini, S
   Travaglini, D
   Chirici, G
AF D'Amico, G.
   Giannetti, F.
   Vangi, E.
   Borghi, C.
   Francini, S.
   Travaglini, D.
   Chirici, G.
BE Dessena, MA
   Melis, MT
   Rossi, P
TI Multitemporal LiDAR data for forest carbon monitoring in Mediterranean
   Forest
SO PLANET CARE FROM SPACE
SE AIT Series: Trends in Earth Observation
LA English
DT Article; Book Chapter
DE LiDAR; growing stock volume; small-scale forest management; carbon
   sequestration
ID INVENTORIES; METRICS
AB Forests are widely recognized as essential ecosystems for sequestering carbon and to mitigate the increase of atmospheric carbon dioxide, though could lose, or reduce this function under future climatic change. To maintain or improve carbon mitigation and to assess species adaptation to climate change small-scale forest monitoring is crucial, especially in Mediterranean forests where warmer and drier seasons are expected. Airborne Laser Scanner (ALS) data are efficiently used for defined carbon mapping, but few studies have used multi-temporal lidar surveys to evaluate carbon sequestration in Mediterranean forests.
   This study focuses on the forested area of Monte Morello (Florence, Central Italy) which was surveyed by ALS in 2008 and 2015 with scan densities of 1.5 and 4.4 pulse/m2, respectively. Herein, we compare the multitemporal ALS data with field forest inventory plots to estimate growing stock volume (GSV) and carbon sequestration in Mediterranean mixed broadleaved and coniferous forests. Independently of laser sampling rate we estimate, using an area-based approach, the forest GSVs and carbon sequestrations for 2008 and 2015 using random forests and a multiple linear regression model (R-2 = 0.9; RMSE% = 17%). Based on the multitemporal maps, we derived information related to (i) forest growth, (ii) forest species carbon sequestration, (iii) small-scale forest management. The entire study area increased sequestered carbon by 58%, mainly for coniferous mixed forests. Overall, our study describes a well-suited technique for multitemporal ALS analysis and highlighting the potential of the use of multitemporal ALS data to map forest resources for forest management activities.
C1 [D'Amico, G.; Giannetti, F.; Vangi, E.; Borghi, C.; Francini, S.; Travaglini, D.; Chirici, G.] Univ Firenze, Dipartimento Sci & Tecnol Agr Alimentari Ambienta, Florence, Italy.
   [Vangi, E.; Francini, S.] Univ Molise, Dipartimento Biosci & Terr, Campobasso, Italy.
   [Francini, S.] Univ Tuscia, Dipartimento Innovaz Sistemi Biol Agr & Forestali, Viterbo, Italy.
C3 University of Florence; University of Molise; Tuscia University
RP D'Amico, G (corresponding author), Univ Firenze, Dipartimento Sci & Tecnol Agr Alimentari Ambienta, Florence, Italy.
EM giovanni.damico@unifi.it; francesca.giannetti@unifi.it;
   elia.vangi@unifi.it; costanza.borghi@unifi.it;
   saverio.francini@unifi.it; davide.travaglini@unifi.it;
   gherardo.chirici@unifi.it
RI Giannetti, Francesca/AAD-3258-2019; D'Amico, Giovanni/HGD-3376-2022;
   Chirici, Gherardo/AAC-6587-2020; Vangi, Elia/GXM-6611-2022
OI Francini, Saverio/0000-0001-6991-0289
CR [Anonymous], 2000, International Archives of Photogrammetry and Remote Sensing, V33, P110, DOI DOI 10.1016/J.ISPRSJPRS.2005.10.005
   Babcock C, 2015, REMOTE SENS ENVIRON, V169, P113, DOI 10.1016/j.rse.2015.07.028
   Barabesi L, 2011, ENVIRONMETRICS, V22, P271, DOI 10.1002/env.1046
   Bottalico F, 2017, INT J APPL EARTH OBS, V57, P145, DOI 10.1016/j.jag.2016.12.013
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Cao L, 2016, REMOTE SENS ENVIRON, V178, P158, DOI 10.1016/j.rse.2016.03.012
   Chirici G, 2020, INT J APPL EARTH OBS, V84, DOI 10.1016/j.jag.2019.101959
   D'Amico G, 2021, IFOREST, V14, P144, DOI 10.3832/ifor3648-014
   Dassot M, 2011, ANN FOREST SCI, V68, P959, DOI 10.1007/s13595-011-0102-2
   Dubayah RO, 2000, J FOREST, V98, P44
   Eggleston H.S., 2006, 2006 IPCC GUIDELINES
   Federici S, 2008, IFOREST, V1, P86, DOI 10.3832/ifor0457-0010086
   Hawrylo P, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203331
   Isenburg Martin., 2017, LAStools-efficient LiDAR processing software (version 2.1)
   Kangas A, 2018, SCAND J FOREST RES, V33, P397, DOI 10.1080/02827581.2017.1416666
   McRoberts RE, 2015, REMOTE SENS ENVIRON, V163, P13, DOI 10.1016/j.rse.2015.02.026
   Naesset E, 2005, REMOTE SENS ENVIRON, V94, P541, DOI 10.1016/j.rse.2004.11.010
   Naesset E, 2009, REMOTE SENS ENVIRON, V113, P148, DOI 10.1016/j.rse.2008.09.001
   Nelson R, 2013, CAN J REMOTE SENS, V39, pS6, DOI 10.5589/m13-011
   Ogaya R, 2021, FORESTS, V12, DOI 10.3390/f12030306
   Roussel JR, 2017, REMOTE SENS ENVIRON, V198, P1, DOI 10.1016/j.rse.2017.05.032
   Tabacchi G., 2011, Stima del Volume e Della Fitomassa Delle Principali Specie Forestali Italiane Equazioni di previsione, tavole del volume e tavole della fitomassa arborea epigea
   Vizzarri M, 2015, FORESTS, V6, P1810, DOI 10.3390/f6061810
   Zhao KG, 2018, REMOTE SENS ENVIRON, V204, P883, DOI 10.1016/j.rse.2017.09.007
   Zhao KG, 2011, REMOTE SENS ENVIRON, V115, P1978, DOI 10.1016/j.rse.2011.04.001
   Zolkos SG, 2013, REMOTE SENS ENVIRON, V128, P289, DOI 10.1016/j.rse.2012.10.017
NR 26
TC 0
Z9 0
U1 0
U2 1
PU ITALIAN SOC REMOTE SENSING
PI TORINO
PA POLITECNICO TORINO DEPT ARCHITECTURE & DESIGN VIALE MATTIOLI, 39,
   TORINO, 10125, ITALY
BN 978-88-944687-0-0
J9 AIT Series Trends Ea
PY 2021
VL 2
BP 116
EP 119
D2 10.978.88944687/00
PG 4
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Geology; Remote Sensing
GA BU6IR
UT WOS:000925317600019
DA 2025-01-10
ER

PT J
AU Bauer, S
AF Bauer, Sonja
TI Identification of Water-Reuse Potentials to Strengthen Rural Areas in
   Water-Scarce Regions-The Case Study of Wuwei
SO LAND
LA English
DT Article
DE rural areas; water scarcity; water-reuse; agricultural irrigation
ID MINQIN OASIS; AGRICULTURE; ENVIRONMENT; MANAGEMENT; RESOURCES; COUNTY
AB Due to water scarcity, which is worsening due to climate change, rural areas often face the challenge of rural exoduses. Limited water resources restrict local farmers as the opportunities for cultivation in the fields are reduced. This makes rural areas increasingly unattractive. To strengthen rural areas, sustainable water management with a focus on water-reuse is required. Since treated wastewater is a daily resource with calculable quantities available, reused water can contribute to the sustainable strengthening of a region. Therefore, an analysis of water-reuse potentials must be conducted to develop a water-reuse concept and thus increase the application of reused water. For this purpose, a case study of Wuwei as a rural and water-scarce region in China was chosen. By using a geoinformation system, the unfulfilled water-reuse potential can be identified by intersecting the results of the analysis regarding the current water supply and disposal situation with spatial and regional information, such as population data. Hence, the study presents the potential to increase wastewater treatment and water-reuse for, e.g., agricultural irrigation. It is shown that, in the best case, reused water can be increased from 5479 m(3) per day to 207,461 m(3) per day. Resource efficiency can be further increased by combining water-reuse concepts with land-use strategies adapted to climate change. This will ensure a more sustainable water supply in the future.
C1 [Bauer, Sonja] Hsch Tech Stuttgart, Fac Geomat Comp Sci & Math, Schellingstr 24, D-70174 Stuttgart, Germany.
RP Bauer, S (corresponding author), Hsch Tech Stuttgart, Fac Geomat Comp Sci & Math, Schellingstr 24, D-70174 Stuttgart, Germany.
EM sonja.bauer@hft-stuttgart.de
OI Bauer, Sonja/0000-0001-5549-6830
CR AGHALOO K, 2020, WATER-SUI, V12, DOI DOI 10.3390/w12071913
   Alamanos A, 2019, J HYDROINFORM, V21, P1118, DOI 10.2166/hydro.2019.079
   [Anonymous], SEMIZENTRAL INT SUPP
   [Anonymous], 2019, WATER SUI, DOI DOI 10.3390/w11030577
   [Anonymous], 2008, Hole-filled seamless SRTM data V4
   [Anonymous], 2020, Global Times Online
   Bauer S, 2020, WATER SCI TECHNOL, V81, P1927, DOI 10.2166/wst.2020.257
   Bauer S, 2020, WATER SUPPLY, V20, P296, DOI 10.2166/ws.2019.162
   Bauer S, 2020, WATER ENVIRON RES, V92, P1027, DOI 10.1002/wer.1298
   Brouziyne Y, 2018, AGR SYST, V162, P154, DOI 10.1016/j.agsy.2018.01.024
   Chen QiBing Chen QiBing, 2013, China Vegetables, P92
   Citypopulation, WUW SHI PREF LEV CIT
   Dong HY, 2012, J ENVIRON MONITOR, V14, P1906, DOI 10.1039/c2em10976j
   Feng SY, 2011, ENVIRON EARTH SCI, V62, P961, DOI 10.1007/s12665-010-0581-8
   Jaramillo MF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101734
   Gansu Provincial Water Resources Department, 2015 WAT RES B GANS
   Herzfeld T., 2017, GFFA PAN CHIN HAMB G
   Hilbig J, 2020, J WATER REUSE DESAL, V10, P419, DOI 10.2166/wrd.2020.032
   Huo ZL, 2007, ARID LAND RES MANAG, V21, P21, DOI 10.1080/15324980601087448
   Ji XB, 2006, ENVIRON GEOL, V50, P793, DOI 10.1007/s00254-006-0251-z
   Jimenez B, 2008, SCI TECH REP SER, P1
   Kiros G., 2015, Hydrol.: Curr. Res., V6, P7, DOI [10.4172/2157-7587.1000216, DOI 10.4172/2157-7587.1000216]
   Lazarova V., 2012, Water21, V14, P12
   Li C, 2013, J INTEGR AGR, V12, P1330, DOI 10.1016/S2095-3119(13)60542-0
   Li FaMing Li FaMing, 2013, Agricultural Sciences, V4, P72
   Li MM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103598
   Liu X, 2007, ARCT ANTARCT ALP RES, V39, P651, DOI 10.1657/1523-0430(07-506)[LIU-X]2.0.CO;2
   Lyu SD, 2016, J ENVIRON SCI, V39, P86, DOI 10.1016/j.jes.2015.11.012
   Ministry of Ecology and Environment of the People's Republic of China, 2020, ANN PUBL NAT LIST CE
   Neissi L, 2019, WATER RESOUR MANAG, V33, P4955, DOI 10.1007/s11269-019-02434-1
   Nikolaou G, 2019, HORTICULTURAE, V5, DOI 10.3390/horticulturae5010007
   O'Connor N, 2016, PROCEDIA ENGINEER, V159, P259, DOI 10.1016/j.proeng.2016.08.172
   Sun DF, 2005, ENVIRON MONIT ASSESS, V108, P169, DOI 10.1007/s10661-005-4221-9
   Tolksdorf J., 2019, GWF WASSER ABWASSER, V03, P73
   Udimal Thomas Bilaliib, 2017, International Journal of Sustainable Built Environment, V6, P491, DOI 10.1016/j.ijsbe.2017.10.001
   Wang J., 2010, Climate Change and China's Agricultural Sector: An Overview of Impacts, Adaptation, and Mitigation
   Wu HX, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8362-5
   Yue Q, 2018, WATER-SUI, V10, DOI 10.3390/w10091125
   Zhang YL, 2012, ENVIRON EARTH SCI, V65, P1831, DOI 10.1007/s12665-011-1165-y
   Zhu XF, 2013, J SOIL WATER CONSERV, V68, p147A, DOI 10.2489/jswc.68.6.147A
NR 40
TC 6
Z9 6
U1 1
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2020
VL 9
IS 12
AR 492
DI 10.3390/land9120492
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PK0JD
UT WOS:000602140900001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lavorel, S
   Locatelli, B
   Colloff, MJ
   Bruley, E
AF Lavorel, Sandra
   Locatelli, Bruno
   Colloff, Matthew J.
   Bruley, Enora
TI Co-producing ecosystem services for adapting to climate change
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE ecosystem-based adaptation; ecosystem service trade-offs; adaptation
   pathway; transformation; socio-ecological dynamics;
   values-rules-knowledge
ID CONCEPTUAL-FRAMEWORK; ADAPTATION SERVICES; MONTANE FORESTS; TRADE-OFFS;
   BIODIVERSITY; PATHWAYS; MULTIFUNCTIONALITY; RESILIENCE; MANAGEMENT;
   RULES
AB Ecosystems can sustain social adaptation to environmental change by protecting people from climate change effects and providing options for sustaining material and non-material benefits as ecological structure and functions transform. Along adaptation pathways, people navigate the trade-offs between different ecosystem contributions to adaptation, or adaptation services (AS), and can enhance their synergies and co-benefits as environmental change unfolds. Understanding trade-offs and co-benefits of AS is therefore essential to support social adaptation and requires analysing how people co-produce AS. We analysed co-production along the three steps of the ecosystem cascade: (i) ecosystem management; (ii) mobilization; and (iii) appropriation, social access and appreciation. Using five exemplary case studies across socio-ecosystems and continents, we show how five broad mechanisms already active for current ecosystem services can enhance co-benefits and minimize trade-offs between AS: (1) traditional and multi-functional land/sea management targeting ecological resilience; (2) pro-active management for ecosystem transformation; (3) co-production of novel services in landscapes without compromising other services; (4) collective governance of all co-production steps; and (5) feedbacks from appropriation, appreciation of and social access to main AS. We conclude that knowledge and recognition of co-production mechanisms will enable pro-active management and governance for collective adaptation to ecosystem transformation. This article is part of the theme issue 'Climate change and ecosystems: threats, opportunities and solutions'.
C1 [Lavorel, Sandra; Bruley, Enora] Univ Savoie Mt Blanc, Univ Grenoble Alpes, Lab Ecol Alpine, CNRS, F-38000 Grenoble, France.
   [Locatelli, Bruno] Univ Montpellier, Cirad, F-34098 Montpellier, France.
   [Locatelli, Bruno] Cifor, Lima 15024, Peru.
   [Colloff, Matthew J.] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2601, Australia.
C3 Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA);
   Centre National de la Recherche Scientifique (CNRS); Universite Savoie
   Mont Blanc; CIRAD; Universite de Montpellier; CGIAR; Center for
   International Forestry Research (CIFOR); Australian National University
RP Lavorel, S (corresponding author), Univ Savoie Mt Blanc, Univ Grenoble Alpes, Lab Ecol Alpine, CNRS, F-38000 Grenoble, France.
EM sandra.lavorel@univ-grenoble-alpes.fr
RI Lavorel, Sandra/AGM-2903-2022; Colloff, Matthew/B-7398-2009; Locatelli,
   Bruno/C-9957-2009
OI Colloff, Matthew/0000-0002-3765-0627; Locatelli,
   Bruno/0000-0003-2983-1644; Bruley, Enora/0000-0003-3416-1868
FU French Agence Nationale pour la Recherche MtnPaths
   [ANR-16-CE93-0008-01]; Investissements d'Avenir CDP Trajectories
   [ANR-15-IDEX-02]; European Union's H2020 research and innovation
   programme (SINCERE Project); CGIAR Research Program on Forests, Trees
   and Agroforestry (CRP-FTA); CGIAR fund; Agence Nationale de la Recherche
   (ANR) [ANR-16-CE93-0008] Funding Source: Agence Nationale de la
   Recherche (ANR)
FX S.L. acknowledges French Agence Nationale pour la Recherche MtnPaths
   (ANR-16-CE93-0008-01) and Investissements d'Avenir CDP Trajectories
   (ANR-15-IDEX-02). B.L. was supported by the European Union's H2020
   research and innovation programme (SINCERE Project) and the CGIAR
   Research Program on Forests, Trees and Agroforestry (CRP-FTA) with
   financial support from the CGIAR fund.
CR Allan E, 2015, ECOL LETT, V18, P834, DOI 10.1111/ele.12469
   [Anonymous], 2007, Working Group II
   Barot S, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0418-x
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brink E, 2018, ENVIRON POLICY GOV, V28, P82, DOI 10.1002/eet.1795
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Carpenter SR, 2006, TRENDS ECOL EVOL, V21, P309, DOI 10.1016/j.tree.2006.02.007
   Cinner JE, 2016, NATURE, V535, P416, DOI 10.1038/nature18607
   Cohen-Shacham E., 2016, Nature-based Solutions to address global societal challenges, V97, P2016, DOI [DOI 10.2305/IUCN.CH.2016.13.EN, DOI 10.2305/IUCN.CH.2016.13.ENB.P001/REF]
   Collier MJ, 2015, LANDSCAPE ECOL, V30, P1363, DOI 10.1007/s10980-015-0243-z
   Colloff M.J., 2018, VALUES RULES KNOWLED, DOI 10.13140/RG.2.2.13783.11688/2
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Colloff MJ, 2016, CLIMATIC CHANGE, V138, P267, DOI 10.1007/s10584-016-1724-z
   Colloff MJ, 2016, ECOL APPL, V26, P1003, DOI 10.1890/15-0848
   Colloff MJ, ECOSYST PEOPLE
   Darnhofer I, 2017, LAND USE POLICY, V68, P306, DOI 10.1016/j.landusepol.2017.08.005
   Díaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002
   Djoudi H, 2013, REG ENVIRON CHANGE, V13, P493, DOI 10.1007/s10113-011-0262-5
   Doherty MD, 2017, AUSTRAL ECOL, V42, P309, DOI 10.1111/aec.12437
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Dryzek JohnS., 2019, The Politics of the Anthropocene
   Duru M, 2015, AGRON SUSTAIN DEV, V35, P1237, DOI 10.1007/s13593-015-0318-x
   Fedele G, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195895
   Fedele G, 2017, ECOSYST SERV, V28, P43, DOI 10.1016/j.ecoser.2017.09.011
   Felipe-Lucia MR, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07082-4
   Felipe-Lucia MR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132232
   Fontana V, 2014, AGR ECOSYST ENVIRON, V186, P44, DOI 10.1016/j.agee.2014.01.006
   Fontana V, 2013, ECOL ECON, V93, P128, DOI 10.1016/j.ecolecon.2013.05.007
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Hardy J, 2006, FARMER DRIVEN INNOVA
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jantz P, 2014, NAT CLIM CHANGE, V4, P138, DOI 10.1038/NCLIMATE2105
   Jones L, 2016, LAND USE POLICY, V52, P151, DOI 10.1016/j.landusepol.2015.12.014
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Kermagoret C, 2019, OCEAN COAST MANAGE, V174, P144, DOI 10.1016/j.ocecoaman.2019.03.028
   Kohler M, 2017, ECOL INDIC, V73, P118, DOI 10.1016/j.ecolind.2016.09.024
   Kremen C, 2007, ECOL LETT, V10, P299, DOI 10.1111/j.1461-0248.2007.01018.x
   Lavorel S, 2019, ECOL REV, P131
   Lavorel S, 2019, ENVIRON SCI POLICY, V92, P87, DOI 10.1016/j.envsci.2018.11.010
   Lavorel S, 2017, REG ENVIRON CHANGE, V17, P2251, DOI 10.1007/s10113-017-1207-4
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Lavorel S, 2012, J ECOL, V100, P128, DOI 10.1111/j.1365-2745.2011.01914.x
   Lee H, 2016, ECOL INDIC, V66, P340, DOI 10.1016/j.ecolind.2016.02.004
   Marshall GR, 2010, RANGELAND J, V32, P267, DOI 10.1071/RJ10020
   Martín-López B, 2019, J ENVIRON MANAGE, V241, P251, DOI 10.1016/j.jenvman.2019.04.029
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   Mastrangelo ME, 2014, LANDSCAPE ECOL, V29, P345, DOI 10.1007/s10980-013-9959-9
   Mattalia G, 2018, HUM ECOL, V46, P747, DOI 10.1007/s10745-018-0024-9
   Mitchell MGE, 2015, TRENDS ECOL EVOL, V30, P190, DOI 10.1016/j.tree.2015.01.011
   Nettier B, 2017, ECOL SOC, V22, DOI [10.5751/ES-09625-220425, 10.5751/es-09625-220425]
   Oakes LE, 2016, ECOL SOC, V21, DOI 10.5751/ES-08464-210240
   Opdam P., 2014, Scale-sensitive Governance of the Environment, P17, DOI [DOI 10.1002/9781118567135, 10.1002/9781118567135]
   Ostrom E, 1996, WORLD DEV, V24, P1073, DOI 10.1016/0305-750X(96)00023-X
   Oteros-Rozas E, 2013, RANGELAND J, V35, P251, DOI 10.1071/RJ12092
   Outeiro Luis, 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P35, DOI 10.1080/21513732.2017.1415973
   Palomo Ignacio, 2016, Advances in Ecological Research, V54, P245
   Pearce KL, 2010, SMALL RUMINANT RES, V91, P29, DOI 10.1016/j.smallrumres.2009.10.018
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Prober SM, 2017, AGR ECOSYST ENVIRON, V241, P39, DOI 10.1016/j.agee.2017.02.021
   Rademacher A, 2019, URBAN ECOSYST, V22, P65, DOI 10.1007/s11252-018-0751-0
   Rathwell KJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08369-210221
   Rogers A, 2015, GLOBAL CHANGE BIOL, V21, P504, DOI 10.1111/gcb.12725
   Sarkki S, 2016, REG ENVIRON CHANGE, V16, P2019, DOI 10.1007/s10113-015-0812-3
   Sasaki T, 2019, J ECOL, V107, P1862, DOI 10.1111/1365-2745.13151
   Schmidt-Thome P, 2017, OXFORD RES ENCY
   Seddon N, 2019, NAT CLIM CHANGE, V9, P84, DOI 10.1038/s41558-019-0405-0
   Shackleton RT, 2014, AOB PLANTS, V6, DOI 10.1093/aobpla/plu027
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Snorek J, 2014, GLOBAL ENVIRON CHANG, V29, P371, DOI 10.1016/j.gloenvcha.2014.06.014
   Soliveres S, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0269
   Stensrud AB, 2016, ETHNOS, V81, P75, DOI 10.1080/00141844.2014.929597
   Swart R, 2014, CLIMATE CHANGE ADAPTATION MANUAL: LESSONS LEARNED FROM EUROPEAN AND OTHER INDUSTRIALISED COUNTRIES, P224
   Tengö M, 2014, AMBIO, V43, P579, DOI 10.1007/s13280-014-0501-3
   Tschakert P, 2010, ECOL SOC, V15
   Vallet A, 2019, ECOL SOC, V24, DOI 10.5751/ES-10904-240214
   van der Plas F, 2019, J APPL ECOL, V56, P168, DOI 10.1111/1365-2664.13260
   van Kerkhoff L, 2019, AMBIO, V48, P699, DOI 10.1007/s13280-018-1121-0
   Verhagen W, 2016, LANDSCAPE ECOL, V31, P1457, DOI 10.1007/s10980-016-0345-2
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Vos CC, 2018, REG ENVIRON CHANGE, V18, P2033, DOI 10.1007/s10113-018-1306-x
   WAGG M, 2007, LAND WATER WOOL PROG
   Walker B., 2004, Ecology and Society, V9, P5
   Wertz-Kanounnikoff S, 2011, CLIM DEV, V3, P143, DOI 10.1080/17565529.2011.582277
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 90
TC 62
Z9 69
U1 1
U2 75
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8436
EI 1471-2970
J9 PHILOS T R SOC B
JI Philos. Trans. R. Soc. B-Biol. Sci.
PD MAR 16
PY 2020
VL 375
IS 1794
SI SI
AR 20190119
DI 10.1098/rstb.2019.0119
PG 13
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Life Sciences & Biomedicine - Other Topics
GA KF9BO
UT WOS:000509531700004
PM 31983325
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU van der Zaag, P
   Gupta, J
   Darvis, LP
AF van der Zaag, P.
   Gupta, J.
   Darvis, L. P.
TI <i>HESS Opinions</i> "Urgent water challenges are not sufficiently
   researched"
SO HYDROLOGY AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID BIOFUEL
AB In this opinion paper we submit that water experts conduct comparatively little research on the more urgent challenges facing the global community. Five specific biases are identified. First, research in the field of water and sanitation is heavily biased against sanitation. Second, research on food security is biased in favour of conventional irrigation and fails to address the problems and opportunities of rainfed agriculture. Third, insufficient water research is dedicated to developmental compared to environmental issues. Fourth, too little research is conducted on adaptation to climate change by developing countries. And finally, research on water governance has a fascination for conflict but too little eye for cooperation and meeting basic needs. This paper illustrates these biases with bibliometric indicators extracted from the ISI Web of Science. There is a stark mismatch between the global demand for knowledge and the supply of it. This mismatch is identified here as a problem that we water scientists must confront and resolve. We still lack a full understanding why this divergence between demand and supply occurs and persists; an understanding that is required to guide us towards aligning our research priorities to societal demands. The paper, however, makes some inferences. On the one hand, we should promote the global South to create its own research biases and allow it to develop alternative solutions. Simultaneously we would benefit from critical examination of our own research practice. Although this paper addresses a critical challenge it does not aim to be exhaustive or definitive. We merely identify the persistence of intransigent water problems as a valid research object in itself.
C1 [van der Zaag, P.; Gupta, J.; Darvis, L. P.] UNESCO IHE Inst Water Educ, Delft, Netherlands.
   [van der Zaag, P.] Delft Univ Technol, Water Resources Sect, Delft, Netherlands.
   [Gupta, J.] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
C3 IHE Delft Institute for Water Education; Delft University of Technology;
   Vrije Universiteit Amsterdam
RP van der Zaag, P (corresponding author), UNESCO IHE Inst Water Educ, Delft, Netherlands.
EM p.vanderzaag@unesco-ihe.org
RI Darvis, LP/F-8816-2010; Gupta, Joyeeta/L-8672-2013; van der Zaag,
   Pieter/B-8247-2008
OI van der Zaag, Pieter/0000-0002-1215-2656; Gupta,
   Joyeeta/0000-0003-1424-2660
FU NWO; Netherlands Organisation for Scientific Research [452-02-031]
FX We acknowledge the valuable and stimulating comments and suggestions by
   the following four referees: Erik Mostert, Larry Swatuk, Franc, ois
   Molle and Murugesu Sivapalan. An earlier version of this paper, based on
   data derived from a different source (Scopus), was presented at the
   European Geophysical Union General Assembly in Vienna, 18 April 2008.
   Joyeeta Gupta wishes to acknowledge that her contribution to this paper
   was undertaken in the context of the " Inter-governmental and private
   environmental regimes and compatibility with good governance, rule of
   law and sustainable development" project, which is financially supported
   by NWO, the Netherlands Organisation for Scientific Research (Contract:
   452-02-031).
CR Annan K, 2003, SCIENCE, V299, P1485, DOI 10.1126/science.299.5612.1485
   [Anonymous], 2007, COMPREHENSIVE ASSESS
   [Anonymous], 2008, STAT FOOD AGR 2008 B
   [Anonymous], 2006, HUMAN DEV REPORT 200
   [Anonymous], 2008, STAT FOOD INS WORLD
   [Anonymous], 2007, HUMAN DEV REPORT 200
   [Anonymous], 2012, The United Nations world water development report, P909
   [Anonymous], 2005, EC HUM WELLB WETL WA
   [Anonymous], 2008, World Resources 2008: Roots of Resilience - Growing the Wealth of the Poor
   [Anonymous], 2005, The millennium development goals report 2005
   Bates B.C., 2008, LINKING CLIMATE CHAN
   BUYTAERT W, 2009, HYDROL EARTH SYST SC, V6, pC258
   Falkenmark M., 2004, Earthscan
   Gleick P., 2008, The World's Water 2008-2009: The Biennial Report on Freshwater Resources
   GUNAWARDENA ERN, 2008, SESS CLIM EN ENV C K
   Gupta J, 2009, GLOBAL ENVIRON POLIT, V9, P14, DOI 10.1162/glep.2009.9.2.14
   Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102
   Karlsson S, 2007, ENVIRON SCI POLICY, V10, P668, DOI 10.1016/j.envsci.2007.04.001
   Keyzer M, 2008, ECONOMIST-NETHERLAND, V156, P507, DOI 10.1007/s10645-008-9098-x
   Merrey D. J., 2009, Water Alternatives, V2, P183
   Nyabeze WR, 2007, PHYS CHEM EARTH, V32, P967, DOI 10.1016/j.pce.2007.07.048
   RAP E, 2008, SESS CLIM EN ENV C K
   Uhlenbrook S, 2007, HYDROL PROCESS, V21, P3647, DOI 10.1002/hyp.6901
   *UN MILL PROJ, 2005, INV DEV PRACT PLAN A
   UNESCO Institute for Statistics, 2005, UIS B SCI TECHN STAT
   van der Zaag P, 2009, WATER FOR A CHANGING WORLD - DEVELOPING LOCAL KNOWLEDGE AND CAPACITY, P163
   van der Zaag P, 2007, PHYS CHEM EARTH, V32, P971, DOI 10.1016/j.pce.2007.07.035
   Winsemius H, 2009, HYDROL EARTH SYST SC, V6, pC342
NR 28
TC 11
Z9 11
U1 0
U2 17
PU COPERNICUS PUBLICATIONS
PI KATHLENBURG-LINDAU
PA MAX-PLANCK-STR 13, KATHLENBURG-LINDAU, 37191, GERMANY
SN 1027-5606
J9 HYDROL EARTH SYST SC
JI Hydrol. Earth Syst. Sci.
PY 2009
VL 13
IS 6
BP 905
EP 912
DI 10.5194/hess-13-905-2009
PG 8
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA 464XO
UT WOS:000267543200015
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Kansiime, MK
AF Kansiime, Monica K.
TI Community-based adaptation for improved rural livelihoods: a case in
   eastern Uganda
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE community-based adaptation; climate variability; participatory
   vulnerability and capacity assessment; eastern Uganda
ID CLIMATE-CHANGE; ADOPTION; RISK
AB Climate change adaptation is a priority and is fundamentally about sound and resilient development tailored to local conditions and needs. Several researchers have underscored the importance of community-based adaptation in achieving this. This article examines community-based approaches in order to build an understanding of community vulnerability to current and future climate risks in eastern Uganda. Primary data were collected at the community and household level applying participatory vulnerability and capacity assessment, in-depth household, and key informant interviews. Major climate risks in eastern Uganda that exacerbate community and household vulnerability are heavy and erratic rainfall leading to landslides in hilly areas and floods in low-lying areas, and droughts within the year and mid-season, affecting crop and livestock yields. Communities and households have innovative coping mechanisms based on past experiences, local knowledge and expertise albeit in an ad hoc manner. Household labour endowment, farm size, livestock ownership, access to weather information and credit positively and significantly affect the adoption of adaptation technologies by households. At community level, inherent knowledge and skills, and social and financial capital, play a critical role in shaping adaptation to climate risks. This study therefore strongly suggests that analyses of climate change impacts and design of adaptation projects should take into account community perspectives, knowledge and resources. Government and other stakeholders should identify and evaluate potential, location-specific adaptation measures, and incorporate them into the country's development policy and management practices particularly national development plan.
C1 Oxfam GB Uganda, Kampala, Uganda.
RP Kansiime, MK (corresponding author), Oxfam GB Uganda, POB 6228, Kampala, Uganda.
EM monkansiime@yahoo.co.uk
CR [Anonymous], 01013 IFPRI
   [Anonymous], 2010, CLIMATE CHANGE IMPLI
   [Anonymous], AFRICAN FOOD CRISIS
   [Anonymous], 2003, CLIMATE CHANGE SERIE
   [Anonymous], EM DAT OFDA CRED INT
   [Anonymous], 2007, AR4 CLIM CHANG 2007
   [Anonymous], BUILDING RESIL UNPUB
   [Anonymous], 2007, Adaptation to climate change in agriculture, forestry and fisheries: Perspective, framework and priorities
   [Anonymous], 2023, Holistic assessment of the potential of native and exotic earthworm species for vermicomposting process and improving soil and plant health in Ethiopia
   [Anonymous], STAT UG POP REP 2009
   [Anonymous], CLIM VULN CAP AN HDB
   [Anonymous], PART VULN AN S UNPUB
   [Anonymous], UG NAT HOUS CENS REP
   [Anonymous], 00724 IFPRI
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], FARM LEVEL COTTON PR
   [Anonymous], ENV NAT RES MAN SER
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL
   [Anonymous], GOV UG NAT DEV PLAN
   [Anonymous], 2008, TURN HEAT CLIM CHANG
   [Anonymous], SOCIOECONOMIC UNPUB
   [Anonymous], UG NAT WAT DEV REP
   [Anonymous], UG CLIM CHANG FACT S
   [Anonymous], GEIC WORKING PAPER S
   [Anonymous], 67E MIN PLANN DEV RE
   [Anonymous], UGANDA LONG DROUGHTS
   [Anonymous], COMMUNITY BASED ADAP
   Asfaw A, 2004, AGR ECON-BLACKWELL, V30, P215, DOI [10.1016/j.agecon.2002.12.002, 10.1111/j.1574-0862.2004.tb00190.x]
   [Baede A.P.M. IPCC IPCC], 2007, Climate Change 2007: The Physical Science Basis
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Bryman A., 2008, Social research method, V3rd
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Dixon J., 2001, FARMING SYSTEMS POVE
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   FAO, 2009, The State of Food Insecurity in the World 2009
   Franzel S, 1999, AGROFOREST SYST, V47, P305, DOI 10.1023/A:1006292119954
   *GOU, 2007, CLIM CHANG UG NAT AD
   Haile M, 2005, PHILOS T R SOC B, V360, P2169, DOI 10.1098/rstb.2005.1746
   Hassen RM, 1998, MAIZE TECHNOLOGY DEVELOPMENT AND TRANSFER, P137
   Hepworth N., 2008, Climate change in Uganda: Understanding the implications and appraising the response
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   Kassie M., 2009, Environment for Development Discussion Paper - Resources for the Future (RFF)
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Leedy P.D., 1997, PRACTICAL RES PLANNI, V6th
   Maddison D, 2006, 10 CEEPA U PRET
   Mendelsohn R., 2006, 26 CEEPA U PRET
   Mubiru D., 2010, Climate Change and Adaption Options in Karamoja
   Mugisha J., 2012, Journal of Agriculture and Social Sciences, V8, P1
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Nkonya E., 1998, Adoption of maize production technologies in Northern Tanzania
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   PITTOCK B., 2003, CLIMATE CHANGE AUSTR
   Poulton C, 2006, DEV POLICY REV, V24, P243, DOI 10.1111/j.1467-7679.2006.00324.x
   ROSENZWEIG MR, 1993, ECON J, V103, P56, DOI 10.2307/2234337
   World Bank, 2009, AFR DEV CHANG CLIM
   Wortmann C.S., 1999, Ugandas Agroecological Zones: A Guide for Planners and Policy Markers
   Zimmerman FJ, 2003, J DEV ECON, V71, P233, DOI 10.1016/S0304-3878(03)00028-2
NR 58
TC 13
Z9 16
U1 0
U2 67
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD OCT 1
PY 2012
VL 4
IS 4
BP 275
EP 287
DI 10.1080/17565529.2012.730035
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 093RA
UT WOS:000315208000003
DA 2025-01-10
ER

PT J
AU Vousdoukas, MI
   Athanasiou, P
   Giardino, A
   Mentaschi, L
   Stocchino, A
   Kopp, RE
   Menendez, P
   Beck, MW
   Ranasinghe, R
   Feyen, L
AF Vousdoukas, Michalis I.
   Athanasiou, Panagiotis
   Giardino, Alessio
   Mentaschi, Lorenzo
   Stocchino, Alessandro
   Kopp, Robert E.
   Menendez, Pelayo
   Beck, Michael W.
   Ranasinghe, Roshanka
   Feyen, Luc
TI Small Island Developing States under threat by rising seas even in a 1.5
   °C warming world
SO NATURE SUSTAINABILITY
LA English
DT Article
ID LEVEL RISE; WAVE; ADAPTATION; BEACH; PROTECTION; DYNAMICS; DEFENSE;
   STORMS
AB Small Island Developing States (SIDS) have long been recognized as some of the planet's most vulnerable areas to climate change, notably to rising sea levels and coastal extremes. They have been crucial in raising ambitions to keep global warming below 1.5 degrees C and in advancing the difficult debate on loss and damage. Still, quantitative estimates of loss and damage for SIDS under different mitigation targets are lacking. Here we carry out an assessment of future flood risk from slow-onset sea-level rise and episodic sea-level extremes along the coastlines of SIDS worldwide. We show that by the end of this century, without adaptation, climate change would amplify present direct economic damages from coastal flooding by more than 14 times under high-emissions scenarios. Keeping global warming below 1.5 degrees C could avoid almost half of unmitigated damage, depending on the region. Achieving this climate target, however, would still not prevent several SIDS from suffering economic losses that correspond to considerable shares of their GDP, probably leading to forced migration from low-lying coastal zones. Our results underline that investments in adaptation and sustainable development in SIDS are urgently needed, as well as dedicated support to assisting developing countries in responding to loss and damage due to climate change.
   Climate change-induced sea-level rise and coastal extremes pose serious threats to Small Island Developing States (SIDS). This study provides a coastal flood risk assessment for SIDS globally and reveals the need for timely adaptation.
C1 [Vousdoukas, Michalis I.] Univ Aegean, Dept Marine Sci, Mitilene, Greece.
   [Vousdoukas, Michalis I.] MV Coastal & Climate Res Ltd, Limassol, Cyprus.
   [Athanasiou, Panagiotis; Ranasinghe, Roshanka] Deltares, Delft, Netherlands.
   [Giardino, Alessio] Asian Dev Bank, Climate Change & Sustainable Dev Dept, Manila, Philippines.
   [Mentaschi, Lorenzo] Univ Bologna, Dept Phys & Astron Augusto Righi DIFA, Bologna, Italy.
   [Stocchino, Alessandro] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China.
   [Stocchino, Alessandro] City Univ Hong Kong, State Key Lab Marine Pollut, Hong Kong, Peoples R China.
   [Kopp, Robert E.] Rutgers State Univ, Dept Earth & Planetary Sci, New Brunswick, NJ USA.
   [Kopp, Robert E.] Rutgers State Univ, Inst Earth Ocean & Atmospher Sci, New Brunswick, NJ USA.
   [Menendez, Pelayo; Beck, Michael W.] Univ Calif Santa Cruz, Inst Marine Sci, Santa Cruz, CA 95064 USA.
   [Ranasinghe, Roshanka] IHE Delft Inst Water Educ, Dept Coastal & Urban Risk & Resilience, Delft, Netherlands.
   [Ranasinghe, Roshanka] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia.
   [Feyen, Luc] Joint Res Ctr JRC, European Commiss, Ispra, Italy.
C3 University of Aegean; Deltares; Asian Development Bank; University of
   Bologna; Hong Kong Polytechnic University; City University of Hong Kong;
   Rutgers University System; Rutgers University New Brunswick; Rutgers
   University System; Rutgers University New Brunswick; University of
   California System; University of California Santa Cruz; IHE Delft
   Institute for Water Education; University of Melbourne; European
   Commission Joint Research Centre; EC JRC ISPRA Site
RP Vousdoukas, MI (corresponding author), Univ Aegean, Dept Marine Sci, Mitilene, Greece.; Vousdoukas, MI (corresponding author), MV Coastal & Climate Res Ltd, Limassol, Cyprus.; Feyen, L (corresponding author), Joint Res Ctr JRC, European Commiss, Ispra, Italy.
EM vousdoukas@gmail.com; luc.feyen@ec.europa.eu
RI Kopp, Robert/B-8822-2008; Feyen, Luc/ABD-6195-2021; Ranasinghe,
   Roshanka/C-6711-2009; Stocchino, Alessandro/AAX-2603-2020;
   /ABD-2814-2020; Athanasiou, Panagiotis/AAY-6116-2020; Vousdoukas,
   Michalis/C-6743-2012
OI Vousdoukas, Michalis/0000-0003-2655-6181
FU R.E.K. was supported by US National Science Foundation award
   ICER-2103754 as part of the Megalopolitan Coastal Transformation Hub and
   by the US National Aeronautics and Space Administration (award
   80NSSC20K1724 and JPL task 105393.509496.02.08.13.31). M.W.
   [ICER-2103754]; US National Science Foundation [80NSSC20K1724,
   105393.509496.02.08.13.31]; US National Aeronautics and Space
   Administration; AXA Research Fund; Center for Coastal Climate Resilience
FX R.E.K. was supported by US National Science Foundation award
   ICER-2103754 as part of the Megalopolitan Coastal Transformation Hub and
   by the US National Aeronautics and Space Administration (award
   80NSSC20K1724 and JPL task 105393.509496.02.08.13.31). M.W.B. received
   support from NSF 2209284-Strong Coasts, AXA Research Fund and the Center
   for Coastal Climate Resilience (M.W.B., P.M.). R.R. was partly supported
   by the AXA Research Fund. We thank the sea-level projection authors for
   developing and making the sea-level rise projections available, multiple
   funding agencies for supporting the development of the projections, and
   the NASA Sea-Level Change Team for developing and hosting the IPCC AR6
   Sea-Level Projection Tool. The views expressed in the article do not
   reflect the views of ADB.
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Albert S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054011
   Amores A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-05329-1
   [Anonymous], 2002, COAST ENG MAN
   [Anonymous], 2017, POSTDISASTER NEEDS A
   [Anonymous], 2010, CCI LAND COV TIM SER
   Arns A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15752-5
   Athanasiou P., 2023, ZENODO, DOI [10.5281/zenodo.8200200, DOI 10.5281/ZENODO.8200200]
   Athanasiou P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68576-0
   Bates PD, 2010, J HYDROL, V387, P33, DOI 10.1016/j.jhydrol.2010.03.027
   Beck MW, 2022, ECOSYST SERV, V56, DOI 10.1016/j.ecoser.2022.101440
   Beck MW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04568-z
   Beetham E, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06550-1
   Bertin X, 2015, CONT SHELF RES, V96, P1, DOI 10.1016/j.csr.2015.01.005
   Bisaro A, 2020, CLIMATIC CHANGE, V160, P671, DOI 10.1007/s10584-019-02507-5
   Boettle M, 2016, NAT HAZARD EARTH SYS, V16, P559, DOI 10.5194/nhess-16-559-2016
   Bouwer LM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa98a3
   Bove G, 2020, SCI TOTAL ENVIRON, V710, DOI 10.1016/j.scitotenv.2019.136162
   Carlot J, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28945-x
   Carrere L., 2016, Proceedings of the ESA living planet symposium, P9
   Copernicus Digital Elevation Model, 2020, PROD HDB
   Dellink R, 2017, GLOBAL ENVIRON CHANG, V42, P200, DOI 10.1016/j.gloenvcha.2015.06.004
   Deopersad C., 2020, Assessment of the effects and impacts of Hurricane Dorian in the Bahamas
   Dodet G, 2013, J GEOPHYS RES-OCEANS, V118, P1587, DOI 10.1002/jgrc.20146
   Du JB, 2018, GEOPHYS RES LETT, V45, P227, DOI 10.1002/2017GL075963
   Formetta G, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.004
   Gallop SL, 2011, MAR GEOL, V290, P29, DOI 10.1016/j.margeo.2011.10.002
   Garner G.G., 2021, IPCC AR6 Sea-Level Rise Projections. Version 20210809
   Giardino A, 2018, REG ENVIRON CHANGE, V18, P2237, DOI 10.1007/s10113-018-1353-3
   Gussmann G, 2020, CLIMATIC CHANGE, V163, P931, DOI 10.1007/s10584-020-02919-8
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hughes TP, 2017, NATURE, V546, P82, DOI 10.1038/nature22901
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Intergovt Panel Climate Change, 1990, CLIMATE CHANGE: THE IPCC SCIENTIFIC ASSESSMENT, P1
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Knapp KR, 2010, B AM METEOROL SOC, V91, P363, DOI 10.1175/2009BAMS2755.1
   Kummu M, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.4
   Leal W, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9060602
   Lincke D, 2018, GLOBAL ENVIRON CHANG, V51, P67, DOI 10.1016/j.gloenvcha.2018.05.003
   Magnan AK, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-14303-w
   Matias A, 2008, GEOMORPHOLOGY, V97, P655, DOI 10.1016/j.geomorph.2007.09.010
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Menéndez P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61136-6
   Mentaschi L., 2016, Hydrol. Earth Syst. Sci. Discuss., P1, DOI [10.5194/hess-2016-65, DOI 10.5194/HESS-2016-65]
   Mentaschi L, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1233679
   Mentaschi L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30904-w
   Monioudi IN, 2018, REG ENVIRON CHANGE, V18, P2211, DOI 10.1007/s10113-018-1360-4
   Morim J, 2018, GLOBAL PLANET CHANGE, V167, P160, DOI 10.1016/j.gloplacha.2018.05.005
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Mycoo M., 2022, Climate Change 2022: Impacts, P2043, DOI DOI 10.1017/9781009325844.017
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   OUMERACI H, 1994, COAST ENG, V22, P3, DOI 10.1016/0378-3839(94)90046-9
   Ourbak T, 2018, REG ENVIRON CHANGE, V18, P2201, DOI 10.1007/s10113-017-1247-9
   Powell EJ, 2019, J COAST CONSERV, V23, P1, DOI 10.1007/s11852-018-0632-y
   Pronk M., 2023, DELTADEM GLOBAL COAS, DOI [10.4121/21997565, DOI 10.4121/21997565]
   Qi HS, 2010, MAR GEOL, V275, P244, DOI 10.1016/j.margeo.2010.06.005
   Ranasinghe R, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58376-x
   Reyer CPO, 2017, REG ENVIRON CHANGE, V17, P1601, DOI 10.1007/s10113-015-0854-6
   Robinson SA, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.653
   Roland A., 2012, Journal of Geophysical Research: Oceans, V117, DOI [DOI 10.1029/2012JC007952, 10.1029/2012JC007952]
   Saintilan N, 2023, NATURE, V621, P112, DOI 10.1038/s41586-023-06448-z
   Sasmito SD, 2016, WETL ECOL MANAG, V24, P263, DOI 10.1007/s11273-015-9466-7
   Schinko T, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab6368
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   Scussolini P, 2016, NAT HAZARD EARTH SYS, V16, P1049, DOI 10.5194/nhess-16-1049-2016
   Seddon N, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.8
   SotPRE, 2022, PAC CAT RISK ASS FIN
   Stockdon HF, 2006, COAST ENG, V53, P573, DOI 10.1016/j.coastaleng.2005.12.005
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Stovall A, 2022, Coral reef restoration for risk reduction (CR4): a guide to project design and proposal development
   Talia M, 2021, INT J PUBLIC THEOL, V15, P595, DOI 10.1163/15697320-01
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Thomas A, 2020, NAT CLIM CHANGE, V10, P700, DOI 10.1038/s41558-020-0807-z
   Tiggeloven T, 2020, NAT HAZARD EARTH SYS, V20, P1025, DOI 10.5194/nhess-20-1025-2020
   Vousdoukas MI, 2012, CONT SHELF RES, V48, P100, DOI 10.1016/j.csr.2012.08.015
   Vousdoukas MI, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15665-3
   Vousdoukas MI, 2018, NAT CLIM CHANGE, V8, P776, DOI 10.1038/s41558-018-0260-4
   Vousdoukas MI, 2018, NAT HAZARD EARTH SYS, V18, P2127, DOI 10.5194/nhess-18-2127-2018
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   Vousdoukas MI, 2016, CLIM DYNAM, V47, P3171, DOI 10.1007/s00382-016-3019-5
   Vousdoukas MI, 2017, EARTHS FUTURE, V5, P304, DOI 10.1002/2016EF000505
   Vousdoukas MI, 2016, NAT HAZARD EARTH SYS, V16, P1841, DOI 10.5194/nhess-16-1841-2016
   Vousdoukas MI, 2012, EARTH SURF PROC LAND, V37, P583, DOI 10.1002/esp.2264
   Wang P., 2017, GLOBAL HUMAN BUILT U, DOI DOI 10.14311/ASFE.2015.006
   Zhang YLJ, 2016, OCEAN MODEL, V102, P64, DOI 10.1016/j.ocemod.2016.05.002
NR 87
TC 21
Z9 21
U1 7
U2 36
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2398-9629
J9 NAT SUSTAIN
JI Nat. Sustain.
PD DEC
PY 2023
VL 6
IS 12
BP 1552
EP 1564
DI 10.1038/s41893-023-01230-5
EA OCT 2023
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CR2V7
UT WOS:001078040800002
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Thomas, A
   Leichenko, R
AF Thomas, Adelle
   Leichenko, Robin
TI Adaptation through insurance: lessons from the NFIP
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Adaptation; Insurance; Floods
ID FLOOD INSURANCE; CLIMATE-CHANGE; RISK
AB Purpose - Insurance is widely regarded as a key adaptation option for climate change. Yet, the experience of the insurance sector in dealing with climatic hazards, particularly flooding, has been highly varied. Drawing from the experience of the US National Flood Insurance Program (NFEP), the purpose of this paper is to identify opportunities and challenges associated with using insurance as an adaptation strategy for climate change.
   Design/methodology/approach - This article critically reviews the history and recent performance of the NFIP and considers lessons for climate change adaptation through insurance.
   Findings - The US NFIP offers government-subsidized flood insurance for firms and residences. Over its 40-year history, the NFIP has struggled with financial instability and low levels of public participation in the program. The experience of the NFIP offers several lessons regarding the viability of insurance as an adaptation strategy: increasing insurance premiums to account for new climatic risks may mean that a growing segment of the population is unable or unwilling to purchase insurance, absent some other form of subsidization; educating the public on levels of risk and promoting appropriate risk mitigation are highly effective means for reducing damages from current and emerging weather-related risks; and close public-private cooperation is likely to be needed to prevent withdrawal of private insurers from high-risk areas and to ensure that insurance coverage continues to be widely available.
   Originality/value - Examination of past experience with insurance as a mechanism for climate adaptation offers lessons and insights that can inform development of effective strategies to address climate change.
C1 [Thomas, Adelle; Leichenko, Robin] Rutgers State Univ, Dept Geog, Piscataway, NJ 08855 USA.
C3 Rutgers University System; Rutgers University New Brunswick
RP Thomas, A (corresponding author), Rutgers State Univ, Dept Geog, Piscataway, NJ 08855 USA.
EM adelle@eden.rutgers.edu
RI Leichenko, Robin/C-6047-2013
OI Thomas, Adelle/0000-0002-0407-2891
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   ANDERSON DR, 1974, J RISK INSUR, V41, P579, DOI 10.2307/251956
   [Anonymous], 2006, NATL FLOOD INSURANCE, DOI DOI 10.7249/TR300
   Bingham K., 2006, ROLE ACTUARIAL SOUND
   Botzen WJW, 2008, RISK ANAL, V28, P413, DOI 10.1111/j.1539-6924.2008.01035.x
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Browne MJ, 2000, J RISK UNCERTAINTY, V20, P291, DOI 10.1023/A:1007823631497
   Burby R. J., 2001, Environmental Hazards, V3, P111
   Chivers J, 2002, LAND ECON, V78, P515, DOI 10.2307/3146850
   Climate Change Science Program (CCSP), 2009, A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research
   Daniels RJ, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P1
   Dlugolecki A, 2007, COST EXTREME EVENTS
   Dlugolecki A., 2009, GENEVA PAPERS RISK I, V34
   FEMA, 2006, FLOOD MAP MOD MIDC A
   *FEMA, 2005, CHRON MAJ EV AFF NAT
   *GAO, 2003, GAO03606T
   *GAO, 1990, RCED90141FS GAO
   *GAO, 2004, GAO04401T
   *GAO, 2008, GAO08437
   Geneva Association, 2009, GEN REP RISK INS RES
   Hartwig R.P., 2005, NATL FLOOD INSURANCE
   Huber M., 2004, 18 ESRC CTR AN RISK
   Jaffee DM, 2006, FED RESERVE BANK ST, V88, P381
   Kunreuther H.C., 1994, WATER RESOURCES UPDA, V95, P31
   LeBlanc A, 2010, ANN NY ACAD SCI, V1196, P113, DOI 10.1111/j.1749-6632.2009.05320.x
   Litan RE, 2006, SHARING REDUCING FIN
   McLeman R, 2006, CAN GEOGR-GEOGR CAN, V50, P217, DOI 10.1111/j.0008-3658.2006.00136.x
   Michel-Kerjan E., 2006, ASIA PACIFIC J RISK, V1, P21
   Mills E., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P809, DOI 10.1007/s11027-007-9101-x
   Mills E, 2005, SCIENCE, V309, P1040, DOI 10.1126/science.1112121
   Mills E, 2009, GENEVA PAP R I-ISS P, V34, P323, DOI 10.1057/gpp.2009.14
   *NFIP, 2010, STAT MAP CHANG REQ
   O'Brien K, 2008, 20083 GECHS U OSL
   Parry ML., 2007, REPORT INTERGOVERNME
   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)]
   Pielke R.A., 2002, Flood Damage in the United States, 1926-2000: A Reanalysis of National Weather Service Estimates
   Posey J, 2009, GLOBAL ENVIRON CHANG, V19, P482, DOI 10.1016/j.gloenvcha.2009.06.003
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   *SOC LLOYDS, 2006, AD BUST
   TOBIN S, 2005, NATL FLOOD INSURANCE
   Young M., 2009, ANAL EFFECTS MY SAFE
   1999, FED REG, V64, P41305
NR 42
TC 39
Z9 51
U1 2
U2 40
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 2011
VL 3
IS 3
BP 250
EP 263
DI 10.1108/17568691111153401
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 817TD
UT WOS:000294698600004
DA 2025-01-10
ER

PT J
AU Chesney, M
   Lasserre, P
   Troja, B
AF Chesney, Marc
   Lasserre, Pierre
   Troja, Bruno
TI Mitigating global warming: a real options approach
SO ANNALS OF OPERATIONS RESEARCH
LA English
DT Article
DE Adaptation; Mitigation; Real options; Delay; Tipping point; Climate
   change; CO2; Gross domestic product
ID CLIMATE-CHANGE; DAMAGE COSTS; FOSSIL-FUEL; PRESERVATION; THRESHOLDS;
   UNCERTAIN; IMPACT
AB Mitigation and adaptation represent two solutions to the issue of global warming. While mitigation aims at reducing emissions and preventing climate change, adaptation encompasses a broad scope of techniques used to reduce the impacts of climate change once they have occurred. Both have direct costs on a country's gross domestic product, but costs also arise from temperature increases due to inaction. This paper introduces a tipping point in a real options model and analyzes optimal investment choices in mitigation and their timing.
C1 [Chesney, Marc; Troja, Bruno] Univ Zurich, IBF, Plattenstr 32, CH-8032 Zurich, Switzerland.
   [Lasserre, Pierre] Univ Quebec Montreal, Dept Sci Econ, ESG, CP 8888,Succursale A, Montreal, PQ H3C 3P8, Canada.
C3 University of Zurich; University of Quebec; University of Quebec
   Montreal
RP Lasserre, P (corresponding author), Univ Quebec Montreal, Dept Sci Econ, ESG, CP 8888,Succursale A, Montreal, PQ H3C 3P8, Canada.
EM lasserre.pierre@uqam.ca
CR Amigues JP, 2013, RESOUR ENERGY ECON, V35, P618, DOI 10.1016/j.reseneeco.2013.05.008
   [Anonymous], 2012, WORLD FACTBOOK
   [Anonymous], 2014, 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/CBO978110741532, DOI 10.1017/CBO978110741532]
   [Anonymous], 2006, OPTIMAL STOPPING FRE
   [Anonymous], 2012, World Development Indicators
   [Anonymous], ASSESSING COST ADAPT
   Archer D, 2009, ANNU REV EARTH PL SC, V37, P117, DOI 10.1146/annurev.earth.031208.100206
   ARROW KJ, 1974, Q J ECON, V88, P312, DOI 10.2307/1883074
   Bahn O, 2012, ENVIRON SCI POLICY, V18, P9, DOI 10.1016/j.envsci.2011.10.010
   Bahn O, 2011, ENERG POLICY, V39, P334, DOI 10.1016/j.enpol.2010.10.002
   Baranzini A, 2003, ENERG POLICY, V31, P691, DOI 10.1016/S0301-4215(02)00101-5
   Barrett S, 2013, J ENVIRON ECON MANAG, V66, P235, DOI 10.1016/j.jeem.2012.12.004
   Barrett Scott., 2005, ENV STATECRAFT STRAT
   Battaglini M, 2014, AM ECON REV, V104, P2858, DOI 10.1257/aer.104.9.2858
   Bretschger L., 2014, CEEES PAPER SERIES, VCE3S-02/14, DOI Growth and mitigation policies with uncertain climate damage
   BROCK WA, 1972, J ECON THEORY, V4, P479, DOI 10.1016/0022-0531(72)90135-4
   Brozovic N, 2011, ECOL ECON, V70, P627, DOI 10.1016/j.ecolecon.2010.10.001
   Carr P., 1992, MATH FINANC, V2, P87, DOI DOI 10.1111/J.1467-9965.1992.TB00040.X
   Chen Y. F., 2011, DUNDEE DISCUSSION PA, V258
   Chesney M, 1997, ADV APPL PROBAB, V29, P165, DOI 10.2307/1427865
   Chesney M, 2006, FINANC STOCH, V10, P475, DOI 10.1007/s00780-006-0015-3
   Chesney Marc., 2004, APPL MATH FINANCE, V11, P207
   Dakos V, 2008, P NATL ACAD SCI USA, V105, P14308, DOI 10.1073/pnas.0802430105
   de Bruin KC, 2011, GLOBAL ENVIRON CHANG, V21, P34, DOI 10.1016/j.gloenvcha.2010.09.008
   Eby M, 2009, J CLIMATE, V22, P2501, DOI 10.1175/2008JCLI2554.1
   Eby M., 2012, CLIMATE DISCUSSIONS, V8, P4121, DOI [10.5194/cpd-8-4121-2012, DOI 10.5194/CPD-8-4121-2012]
   Fankhauser S., 1997, VALUING CLIMATE CHAN
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   FISHER AC, 1975, Q J ECON, V89, P358, DOI 10.2307/1885257
   Friedlingstein P, 2011, NAT CLIM CHANGE, V1, P457, DOI 10.1038/NCLIMATE1302
   Fundacion DARA Internacional and Climate Vulnerable Forum, 2012, CLIM VULN MON
   Golosov M, 2014, ECONOMETRICA, V82, P41, DOI 10.3982/ECTA10217
   Hansen J, 2010, REV GEOPHYS, V48, DOI 10.1029/2010RG000345
   Hansen J., 2008, Open Atmosphere Science Journal, V2, P217, DOI 10.2174/1874282300802010217
   HASSELMANN K, 1976, TELLUS, V28, P473, DOI 10.1111/j.2153-3490.1976.tb00696.x
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Henry C., 1974, REV ECON STUD, P89
   Huber M, 2012, NAT GEOSCI, V5, P31, DOI [10.1038/ngeo1327, 10.1038/NGEO1327]
   Insley M, 2002, J ENVIRON ECON MANAG, V44, P471, DOI 10.1006/jeem.2001.1209
   International Energy Agency (IEA), 2006, World energy outlook 2006
   IPCC, 2014, IPCC Fifth Assessment Report: Climate Change
   Karner O, 1996, J CLIMATE, V9, P656, DOI 10.1175/1520-0442(1996)009<0656:GTDAAR>2.0.CO;2
   Kassar I, 2004, J ENVIRON ECON MANAG, V48, P857, DOI 10.1016/j.jeem.2003.11.005
   Keller K, 2004, J ENVIRON ECON MANAG, V48, P723, DOI 10.1016/j.jeem.2003.10.003
   Lawrence JK, 1998, GEOPHYS RES LETT, V25, P159, DOI 10.1029/97GL03568
   Lemoine D, 2014, AM ECON J-ECON POLIC, V6, P137, DOI 10.1257/pol.6.1.137
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   MERTON RC, 1973, BELL J ECON, V4, P141, DOI 10.2307/3003143
   Nævdal E, 2007, RESOUR ENERGY ECON, V29, P262, DOI 10.1016/j.reseneeco.2007.01.003
   Nordhaus WD, 2003, WARMING WORLD EC MOD
   Nordhaus WILLIAMD., 1992, The DICE Model. Background Structure of a Dynamic Integrated Climate Economy
   Nævdal E, 2006, J ECON DYN CONTROL, V30, P1131, DOI 10.1016/j.jedc.2005.04.004
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Pindyck R.S, 2015, 21097 NAT BUR EC RES
   Pindyck RS, 2000, RESOUR ENERGY ECON, V22, P233, DOI 10.1016/S0928-7655(00)00033-6
   Prieur F., 2011, CESIFO WORKING PAPER, V3512
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   SCHWARTZ ES, 1994, J FINANC, V49, P1924, DOI 10.2307/2329279
   Stavins RN, 2011, AM ECON REV, V101, P81, DOI 10.1257/aer.101.1.81
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   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
   Tsur Y, 2008, ENVIRON RESOUR ECON, V39, P297, DOI 10.1007/s10640-007-9127-2
   Weitzman M. L., 2007, ROLE UNCERTAINTY EC
   Weyant JP, 2008, REV ENV ECON POLICY, V2, P77, DOI 10.1093/reep/rem022
NR 65
TC 12
Z9 14
U1 6
U2 41
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0254-5330
EI 1572-9338
J9 ANN OPER RES
JI Ann. Oper. Res.
PD AUG
PY 2017
VL 255
IS 1-2
BP 465
EP 506
DI 10.1007/s10479-016-2258-5
PG 42
WC Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Operations Research & Management Science
GA FB8PO
UT WOS:000406401200023
DA 2025-01-10
ER

PT J
AU Tanner, T
   Lewis, D
   Wrathall, D
   Bronen, R
   Cradock-Henry, N
   Huq, S
   Lawless, C
   Nawrotzki, R
   Prasad, V
   Rahman, MA
   Alaniz, R
   King, K
   McNamara, K
   Nadiruzzaman, M
   Henly-Shepard, S
   Thomalla, F
AF Tanner, Thomas
   Lewis, David
   Wrathall, David
   Bronen, Robin
   Cradock-Henry, Nick
   Huq, Saleemul
   Lawless, Chris
   Nawrotzki, Raphael
   Prasad, Vivek
   Rahman, Md Ashiqur
   Alaniz, Ryan
   King, Katherine
   McNamara, Karen
   Nadiruzzaman, Md
   Henly-Shepard, Sarah
   Thomalla, Frank
TI Livelihood resilience in the face of climate change
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID ENVIRONMENTAL-CHANGE; ADAPTATION; VULNERABILITY; RESPONSES; CAPACITY
AB The resilience concept requires greater attention to human livelihoods if it is to address the limits to adaptation strategies and the development needs of the planet's poorest and most vulnerable people. Although the concept of resilience is increasingly informing research and policy, its transfer from ecological theory to social systems leads to weak engagement with normative, social and political dimensions of climate change adaptation. A livelihood perspective helps to strengthen resilience thinking by placing greater emphasis on human needs and their agency, empowerment and human rights, and considering adaptive livelihood systems in the context of wider transformational changes.
C1 [Tanner, Thomas] ODI, Climate & Environm Programme, London SE1 8NJ, England.
   [Lewis, David] Univ London London Sch Econ & Polit Sci, Dept Social Policy, London WC2A 2AE, England.
   [Wrathall, David] United Nations Univ, Inst Environm & Human Secur UNU EHS, D-53113 Bonn, Germany.
   [Bronen, Robin] Alaska Inst Justice, Anchorage, AK USA.
   [Cradock-Henry, Nick] Landcare Res, Lincoln 7640, New Zealand.
   [Huq, Saleemul] Independent Univ, Int Ctr Climate Change & Dev, Dhaka, Bangladesh.
   [Lawless, Chris] Univ Durham, Sch Appl Social Sci, Durham DH1 3HN, England.
   [Nawrotzki, Raphael] Inst Behav Sci, Boulder, CO 80302 USA.
   [Prasad, Vivek] George Mason Univ, Dept Environm Sci & Publ Policy, Fairfax, VA 22030 USA.
   [Rahman, Md Ashiqur] Univ Arizona, Sch Anthropol, Tucson, AZ 85721 USA.
   [Alaniz, Ryan] Cal Poly State Univ, Dept Social Sci, San Luis Obispo, CA 93407 USA.
   [King, Katherine] Duke Univ, Durham, NC 27710 USA.
   [McNamara, Karen] Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld 4072, Australia.
   [Nadiruzzaman, Md] Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England.
   [Henly-Shepard, Sarah] Disaster Resilience LLC, Honolulu, HI 96825 USA.
   [Thomalla, Frank] Chulalongkorn Univ, Stockholm Environm Inst Asia, Bangkok 10330, Thailand.
C3 University of London; London School Economics & Political Science;
   Landcare Research - New Zealand; Independent University Bangladesh
   (IUB); Durham University; George Mason University; University of
   Arizona; California State University System; California Polytechnic
   State University San Luis Obispo; Duke University; University of
   Queensland; University of Exeter; Chulalongkorn University
RP Tanner, T (corresponding author), ODI, Climate & Environm Programme, 203 Blackfriars Rd, London SE1 8NJ, England.
EM t.tanner@odi.org.uk
RI Nadiruzzaman/AAF-4528-2019; Lewis, David/O-7695-2018; Nadiruzzaman,
   Md/AAD-2520-2021; McNamara, Karen/D-7322-2013
OI Lewis, David/0000-0003-0732-9020; Nadiruzzaman, Md/0000-0002-4829-5114;
   McNamara, Karen/0000-0002-4511-8403; Nawrotzki,
   Raphael/0000-0002-1671-3676; Tanner, Thomas/0000-0001-7975-4267;
   Cradock-Henry, Nicholas/0000-0002-4409-9976
FU Munich Re Foundation
FX The authors acknowledge support of the Munich Re Foundation and other
   participants of the 2013 Resilience Academy meeting, which led to the
   development of this paper.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1
   [Anonymous], 2013, WORLD SOC SCI REP 20
   [Anonymous], 2006, ECOL SOC
   [Anonymous], 2014, HUM DEV REP 2014 VUL
   [Anonymous], 1991, SUSTAINABLE RURAL LI
   Ashley C., 1999, SUSTAINABLE LIVELIHO
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Bene C., 2012, IDS working papers, V405, DOI [10.1111/1.2040-0209.2012.00405.x, DOI 10.1111/1.2040-0209.2012.00405.X]
   Beymer-Farris B.A., 2012, RESILIENCE CULTURAL, P283, DOI [DOI 10.1017/CBO9781139107778.020, 10.1017/CBO9781139107778.020]
   Brand FS, 2007, ECOL SOC, V12
   Bronen R., 2014, Humanitarian Crises and Migration: Causes, Consequences and Responses, P221
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Davidson DJ, 2013, SOC NATUR RESOUR, V26, P21, DOI 10.1080/08941920.2012.749758
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Hayward BM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05947-180437
   Holling C. S., 1996, ENG ECOLOGICAL CONST
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Leach M., 2008, Reframing resilience: Transdisciplinarity, reflexivity, and progressive sustainability
   Lebel L, 2006, ECOL SOC, V11
   Lewis D, 2014, NON-GOVERNMENTAL ORGANIZATIONS, MANAGEMENT AND DEVELOPMENT, 3RD EDITION, P1
   Miller F, 2010, ECOL SOC, V15
   Molyneux M., 2003, Doing the rights thing: rights-based development and Latin American NGOs
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien K, 2011, PROG HUM GEOG, V35, P542, DOI 10.1177/0309132510377573
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Palmer PI, 2014, NATURE, V512, P365, DOI 10.1038/512365a
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Satterthwaite D., 2014, REDUCING URBAN POVER
   Sen A, 2004, PHILOS PUBLIC AFF, V32, P315, DOI 10.1111/j.1088-4963.2004.00017.x
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Tanner T, 2014, ROUTL PERSPECT DEV, P1
   Tanner T.M., 2011, IDS Bull, V43, P1
   Walker B, 2004, ECOL SOC, V9
   Weichselgartner Juergen., 2014, Progress in Human Geography, P1
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Wrathall DJ, 2014, ANN ASSOC AM GEOGR, V104, P292, DOI 10.1080/00045608.2013.873326
NR 46
TC 309
Z9 360
U1 18
U2 269
PU NATURE PUBLISHING GROUP
PI LONDON
PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD JAN
PY 2015
VL 5
IS 1
BP 23
EP 26
DI 10.1038/NCLIMATE2431
PG 4
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 AW8LQ
UT WOS:000346513900012
DA 2025-01-10
ER

PT J
AU McDowell, C
AF McDowell, Christopher
TI Climate-Change Adaptation and Mitigation: Implications for Land
   Acquisition and Population Relocation
SO DEVELOPMENT POLICY REVIEW
LA English
DT Article
DE Climate change; adaptation; displacement; involuntary resettlement
ID RESETTLEMENT
AB In response to the challenge of climate change developing-country governments are evolving adaptation and mitigation programmes for which they are seeking international financing. This article presents the findings of a review of national action programmes and other interventions to assess their likely societal impacts with an emphasis on land-use change, future land acquisitions, population displacement and resettlement. It considers the policy and development challenges involuntary resettlement in particular will pose, and assesses the robustness of current governance arrangements to manage them and cautions that at present the financing arrangements do not prioritise the legal protection of affected populations.
C1 City Univ London, Dept Int Polit, London EC1V 0HB, England.
C3 City St Georges, University of London; City, University of London
RP McDowell, C (corresponding author), City Univ London, Dept Int Polit, Northampton Sq, London EC1V 0HB, England.
EM christopher.mcdowell@city.ac.uk
CR Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Amnesty International, 2012, 170012012 ASA AMN IN
   [Anonymous], 2012, WHAT WILL HAPP HUNG
   [Anonymous], FINANCING CLIMATE CH
   [Anonymous], 2003, 2 LDCS INT I ENV DEV
   [Anonymous], 2008, CAN COMPENSATION PRE
   [Anonymous], 2009, ASSESSING COSTS ADAP
   [Anonymous], 2000, RISKS RECONSTRUCTION
   *AS DEV BANK, 2007, CAP BUILD RES RISK M
   Balasundaram Rema, 2006, JOINT EVALUATION GEF
   Barnett J, 2012, NAT CLIM CHANGE, V2, P8, DOI 10.1038/nclimate1334
   Bennett O, 2012, PALGR STUD ORAL HIST, P1, DOI 10.1057/9781137074232
   Betts Alexander., 2009, Protection by Persuasion: International Cooperation in the Refugee Regime, V1st
   Cernea M. M., 1996, UNDERSTANDING PREVEN
   Colson Elizabeth., 1971, SOCIAL CONSEQUENCES
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Douglas R., 2017, BUILDING INCLUSIVE C
   Downing T., 1996, Mitigating Social Impoverishment when People are Involuntarily Displaced. Understanding Impoverishment Providence
   Ferris E., 2008, NATURAL DISASTER CON
   Ferris Elizabeth, 2012, Legal and Protection Policy Research Series
   Fransen T., 2009, WORKING PAPER
   Geisler C., 2000, 3 U WISC LAND TEN CT
   Internal Displacement Monitoring Centre (IDMC), 2011, 2011 GLOB REP
   International Committee of the Red Cross (ICRC), 2011, WORLD DIS REP 2011
   Kalin Walter., 2005, Protection of Internally Displaced Persons in Situations of Natural Disaster
   Martin Susan., 2010, Global Responsibility to Protect, V2, P38, DOI DOI 10.1163/187598410X12602515137338
   Martin Susan., 2004, J REFUG STUD, V17, P301
   McDowell C, 2010, NONCONFLICT DISPLACE
   McDowell C., 1996, Understanding impoverishment: The consequences of development-induced displacement
   Nakhooda S., 2011, Climate Finance Fundamentals, P1
   PEARCE D, 1999, EC INVOLUNTARY RESET
   Scudder T., 1993, Journal of Refugee Studies, V6, P123
   Scudder T., 1991, Putting People First: Sociological Variables in Rural Development, VSecond
   Scudder Thayer., 2006, The Future of Large Dams: Dealing with Social, Environmental, Institutional and Political Costs
   UN-REDD, 2010, DES REDD COMPL BEN D
   UNDP, 2009, UN REDD PROGR OP GUI
   UNESCO-UNEP, 2009, POLICY BRIEF, V9
   United Nations Office for the Coordination of Humanitarian Affairs (UN OCHA), 1998, GUID PRINC INT DISPL
   Warner K., 2009, In search of shelter. Mapping the Effects of Climate Change on Human Migration and Displacement
   Weiss TG, 2006, GLOB INST, P1
   World Bank, 2009, MON REP FIN FLOWS RE
   World Bank, 2010, DEV REP 2010 CHANG C
   Xi J, 2013, SOC MENT HEALTH, V3, P59, DOI 10.1177/2156869312458291
NR 43
TC 27
Z9 33
U1 0
U2 48
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 NOV
PY 2013
VL 31
IS 6
BP 677
EP 695
DI 10.1111/dpr.12030
PG 19
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA 232BQ
UT WOS:000325464000002
OA Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Faaij, APC
AF Faaij, Andre P. C.
TI Repairing What Policy Is Missing Out on: A Constructive View on
   Prospects and Preconditions for Sustainable Biobased Economy Options to
   Mitigate and Adapt to Climate Change
SO ENERGIES
LA English
DT Article
DE biobased economy; sustainability; synergies; mitigation; adaptation
ID LAND-USE CHANGE; LOW-ILUC-RISK; BIOENERGY PRODUCTION; PALM OIL;
   PRODUCTIVITY DEVELOPMENTS; PRODUCTION POTENTIALS; BIOFUEL PRODUCTION;
   BIOMASS PRODUCTION; EAST KALIMANTAN; GHG EMISSIONS
AB Biomass use for energy and materials is, on the one hand, one of the key mitigation options to reach the 1.5 degrees C GMT target set in the Paris Agreement, as highlighted by the IPCC and many other key analyses. On the other hand, particularly in parts of the EU, a strong negative connotation has emerged in public debate and EC policy, with a particular emphasis on the (presumed) displacement effect in markets and land use. This is a remarkable contrast because the reasons to use sustainable biomass, on the one hand, and the possibilities and synergies for supplying sustainable biomass, on the other, are underpinned with strong evidence, also providing insights on how displacement issues can be avoided. Sustainable biomass supplies can contribute 20-30% of the future global and European energy supply, leading to reduced overall mitigation costs, including realizing the net CO2 removal from the atmosphere using BECCS concepts. This paper highlights which options, pathways and preconditions are key to achieving such a substantial contribution of sustainable biomass in future (2050) energy and material supply (with a focus on the European setting). By pinpointing how "biomass can be done right" and how important synergies can be achieved via better agricultural methods, the restoration of marginal and degraded lands and the adaptation of climate change, a different policy agenda emerges in sharp contrast to how a biobased economy has been framed in recent years. It is recommended that future policy priorities, particularly at the EU level, take a more integral view on the synergy between the role of biomass in the energy transition, climate adaptation and mitigation, better agriculture and the better use of land in general. Strategies to achieve such positive results typically require an alignment between renewable energy, and agricultural, environmental, mitigation and adaptation policies, which is a largely missing nexus in different policy arenas. Resolving this lack of alignment offers a major opportunity, globally, to contribute to the European Green deal and improve energy security.
C1 [Faaij, Andre P. C.] Univ Groningen, Energy & Sustainabil Res Inst Gronigen, Nijenborgh 6, NL-9747 AG Groningen, Netherlands.
   [Faaij, Andre P. C.] TNO, Energy Transit, Princetonlaan 6, NL-3584 CB Utrecht, Netherlands.
   [Faaij, Andre P. C.] Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8A, NL-3584 CB Utrecht, Netherlands.
C3 University of Groningen; Netherlands Organization Applied Science
   Research; Utrecht University
RP Faaij, APC (corresponding author), Univ Groningen, Energy & Sustainabil Res Inst Gronigen, Nijenborgh 6, NL-9747 AG Groningen, Netherlands.; Faaij, APC (corresponding author), TNO, Energy Transit, Princetonlaan 6, NL-3584 CB Utrecht, Netherlands.; Faaij, APC (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Princetonlaan 8A, NL-3584 CB Utrecht, Netherlands.
EM a.p.c.faaij@rug.nl
RI Faaij, André/AAE-7253-2019
OI Faaij, Andre/0000-0002-1224-5940
CR [Anonymous], 2016, THESIS UTRECHT U UTR
   [Anonymous], 2019, Moving forward on food loss and waste reduction food and agriculture (First Edit)
   Batidzirai B, 2016, BIOMASS BIOENERG, V92, P106, DOI 10.1016/j.biombioe.2016.06.010
   Batidzirai B, 2012, RENEW SUST ENERG REV, V16, P6598, DOI 10.1016/j.rser.2012.09.002
   Blanco H, 2018, APPL ENERG, V232, P323, DOI 10.1016/j.apenergy.2018.08.027
   Blanco H, 2018, APPL ENERG, V232, P617, DOI 10.1016/j.apenergy.2018.09.216
   Brinkman M, 2020, BIOMASS BIOENERG, V141, DOI 10.1016/j.biombioe.2020.105695
   Brinkman MLJ, 2021, BIOFUELS-UK, V12, P171, DOI 10.1080/17597269.2018.1464873
   Brinkman MLJ, 2017, BIOMASS BIOENERG, V99, P57, DOI 10.1016/j.biombioe.2017.02.006
   Creutzig F, 2015, GCB BIOENERGY, V7, P916, DOI 10.1111/gcbb.12205
   Daioglou V, 2019, GLOBAL ENVIRON CHANG, V54, P88, DOI 10.1016/j.gloenvcha.2018.11.012
   Daioglou V, 2016, GCB BIOENERGY, V8, P456, DOI 10.1111/gcbb.12285
   de Wit M, 2011, RENEW SUST ENERG REV, V15, P2397, DOI 10.1016/j.rser.2011.02.022
   de Wit M, 2010, BIOMASS BIOENERG, V34, P188, DOI 10.1016/j.biombioe.2009.07.011
   de Wit MP, 2014, BIOFUEL BIOPROD BIOR, V8, P374, DOI 10.1002/bbb.1470
   Desirée JI, 2014, GCB BIOENERGY, V6, P183, DOI 10.1111/gcbb.12067
   Dornburg V, 2010, ENERG ENVIRON SCI, V3, P258, DOI 10.1039/b922422j
   Duden AS, 2017, BIOFUEL BIOPROD BIOR, V11, P1007, DOI 10.1002/bbb.1803
   Edenhofer O, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, pIX
   Ramirez-Contreras NE, 2022, J ENVIRON MANAGE, V303, DOI 10.1016/j.jenvman.2021.114137
   Ramírez-Contreras NE, 2021, LAND-BASEL, V10, DOI 10.3390/land10030289
   Ramirez-Contreras NE, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120757
   Ramirez-Contreras NE, 2018, RENEW SUST ENERG REV, V96, P460, DOI 10.1016/j.rser.2018.08.001
   Energy Transitions Commission, 2022, MIND GAP CARB DIOX R
   European Commission, 2018, OFF J EUR UNION, V128
   European Commission, 2012, COM2012510 EUR COMM
   Faaij A., 2015, LAND BIOENERGY SCI C
   FAO UNEP UNIDO, 2013, BIOFUELS SCREENING T
   Fischer G, 2010, BIOMASS BIOENERG, V34, P173, DOI 10.1016/j.biombioe.2009.07.009
   Fritsche U., 2017, LINKAGES SUSTAINABLE
   GBEP, 2011, GLOB BIOEN PARTN SUS, V1st
   Gerssen-Gondelach SJ, 2014, RENEW SUST ENERG REV, V40, P964, DOI 10.1016/j.rser.2014.07.197
   Gerssen-Gondelach S, 2015, FOOD ENERGY SECUR, V4, P36, DOI 10.1002/fes3.53
   Gerssen-Gondelach SJ, 2017, GCB BIOENERGY, V9, P725, DOI 10.1111/gcbb.12394
   Gerssen-Gondelach SJ, 2016, GCB BIOENERGY, V8, P909, DOI 10.1111/gcbb.12306
   google, GREEN BELT MOVEMENT
   Hänninen R, 2018, CURR FOR REP, V4, P13, DOI 10.1007/s40725-018-0070-y
   Hansen JH, 2020, GCB BIOENERGY, V12, P1002, DOI 10.1111/gcbb.12733
   Hoefnagels R, 2010, RENEW SUST ENERG REV, V14, P1661, DOI 10.1016/j.rser.2010.02.014
   IEA, 2018, IEA bioenergy countries' report-update 2018
   International Renewable Energy Agency (IRENA), 2020, Global Renewables Outlook: Energy transformation 2050
   IPCC, 2014, CLIM CHANG 2022 MIT
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IRENA IEA Bioenergy FAO, 2017, BIOENERGY SUSTAINABL
   Jonker JGG, 2018, BIOMASS BIOENERG, V117, P44, DOI 10.1016/j.biombioe.2018.06.017
   Jonker JGG, 2016, APPL ENERG, V173, P494, DOI 10.1016/j.apenergy.2016.04.069
   Jonker JGG, 2019, BIOFUEL BIOPROD BIOR, V13, P950, DOI 10.1002/bbb.1986
   justdiggit, COOL PLAN
   Kline KL, 2017, GCB BIOENERGY, V9, P557, DOI 10.1111/gcbb.12366
   Kluts I, 2017, RENEW SUST ENERG REV, V69, P719, DOI 10.1016/j.rser.2016.11.036
   Lap T, 2022, GCB BIOENERGY, V14, P110, DOI 10.1111/gcbb.12901
   Lap T, 2020, ENERGY, V195, DOI 10.1016/j.energy.2020.116948
   Lap T, 2019, BIOFUEL BIOPROD BIOR, V13, P673, DOI 10.1002/bbb.1978
   Lewandowski I, 2006, AGR SYST, V89, P68, DOI 10.1016/j.agsy.2005.08.004
   Liu YM, 2021, GCB BIOENERGY, V13, P1388, DOI 10.1111/gcbb.12865
   Machado PG, 2020, BIOFUEL BIOPROD BIOR, V14, P265, DOI 10.1002/bbb.2064
   Mantau U., 2010, Real potential for changes in growth and use of EU forests, EUwood Final report
   Nijsen M, 2012, GCB BIOENERGY, V4, P130, DOI 10.1111/j.1757-1707.2011.01121.x
   Panoutsou C, 2021, Sustainable Biomass Availability in the EU to 2050
   Pelkmans L, 2014, LECT N ENERG, V17, P125, DOI 10.1007/978-94-007-6982-3_6
   Ruiz P., 2015, Bioenergy potentials for EU and neighbouring countries, DOI DOI 10.2790/39014
   Santhakumar S., 2022, FUTURE COSTS KEY EME
   Schubert R., 2009, Future bioenergy and sustainable land use
   Smeets EMW, 2007, CLIMATIC CHANGE, V81, P353, DOI 10.1007/s10584-006-9163-x
   Souza G.M., 2015, BIOENERGY SUSTAINABI
   Strengers B., 2020, Availability and application possibilities of sustainable biomass: Report of a search for shared facts and opinions
   Tsiropoulos I, 2018, BIOFUEL BIOPROD BIOR, V12, P665, DOI 10.1002/bbb.1881
   van Dam J, 2009, RENEW SUST ENERG REV, V13, P1679, DOI 10.1016/j.rser.2009.03.012
   Van der Hilst F., 2013, IMPACTS SCALE BIOFUE
   van der Hilst F, 2018, GCB BIOENERGY, V10, P804, DOI 10.1111/gcbb.12534
   van der Hilst F, 2014, BIOFUEL BIOPROD BIOR, V8, P391, DOI 10.1002/bbb.1471
   Van der Laan C, 2017, GCB BIOENERGY, V9, P429, DOI 10.1111/gcbb.12353
   van Eijck J, 2014, RENEW SUST ENERG REV, V32, P869, DOI 10.1016/j.rser.2014.01.028
   Vera I, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112409
   Vera I, 2021, GCB BIOENERGY, V13, P1425, DOI 10.1111/gcbb.12867
   Verstegen JA, 2019, ECOL INDIC, V103, P563, DOI 10.1016/j.ecolind.2019.04.053
   Wicke B, 2008, BIOMASS BIOENERG, V32, P1322, DOI 10.1016/j.biombioe.2008.04.001
   Wicke B, 2013, J ENVIRON MANAGE, V127, P324, DOI 10.1016/j.jenvman.2013.05.060
   Wicke B, 2012, BIOFUELS-UK, V3, P87, DOI 10.4155/BFS.11.154
   Wicke B, 2011, ENERG ENVIRON SCI, V4, P2669, DOI 10.1039/c1ee01029h
   Wicke B, 2011, LAND USE POLICY, V28, P193, DOI 10.1016/j.landusepol.2010.06.001
   Yáñez É, 2021, BIOFUEL BIOPROD BIOR, V15, P305, DOI 10.1002/bbb.2163
   Yang F, 2021, RENEW SUST ENERG REV, V144, DOI 10.1016/j.rser.2021.111028
   Younis A, 2021, BIOFUEL BIOPROD BIOR, V15, P481, DOI 10.1002/bbb.2167
   Zhang BQ, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110614
   Zhang BQ, 2020, GCB BIOENERGY, V12, P328, DOI 10.1111/gcbb.12673
NR 86
TC 5
Z9 6
U1 1
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD AUG
PY 2022
VL 15
IS 16
AR 5955
DI 10.3390/en15165955
PG 25
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA 4B7WX
UT WOS:000845983600001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lauer, H
   Chaves, CMC
   Lorenzo, E
   Islam, S
   Birkmann, J
AF Lauer, Hannes
   Chaves, Carmeli Marie C.
   Lorenzo, Evelyn
   Islam, Sonia
   Birkmann, Joern
TI Risk reduction through managed retreat? Investigating enabling
   conditions and assessing resettlement effects on community resilience in
   Metro Manila
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID SEA-LEVEL RISE; LAND SUBSIDENCE; ADAPTATION; PATHWAYS
AB Managed retreat, a key strategy in climate change adaptation for areas with high hazard exposure, raises concerns due to its disruptive nature, vulnerability issues and overall risk in the new location. On-site upgrading or near-site resettlement is seen as more appropriate and effective compared to a relocation far from the former place of living. However, these conclusions often refer to only a very limited set of empirical case studies or do not sufficiently consider different context conditions and phases in resettlement. Against this background, this paper examines the conditions and factors contributing to community resilience of different resettlement projects in Metro Manila. In this urban agglomeration reside an estimated 500 000 informal households, with more than 100 000 occupying high-risk areas. In light of the already realized and anticipated climate change effects, this precarious living situation exposes families, already socio-economically vulnerable, to an increased risk of flooding. The response of the Philippine government to the vexing problem of informal dwellers has been large-scale resettlement from coasts, rivers and creeks to state-owned sites at urban fringes. However, only very few resettlement projects could be realized as in-city projects close to the original living space. The study employs a sequential mixed-method approach, integrating a large-scale quantitative household survey and focus group discussions (FGDs) for a robust comparison of resettlement types. Further, it reveals community-defined enabling factors for managed retreat as climate change adaptation strategy.Results indicate minor variations in well-being conditions between in-city and off-city resettlement, challenging the expected impact of a more urban setting on resilience. Instead, essential prerequisites for resettlement involve reduced hazard exposure, secure tenure and safety from crime. Beyond these essential conditions, social cohesion and institutional support systems emerge as significant influencers for the successful establishment of well-functioning new settlements. With this findings, the study contributes to the expanding body of literature on managed retreat, offering a comprehensive evaluation based on extensive datasets and providing entry points for the improvement of retreat as a climate change adaptation strategy.
C1 [Lauer, Hannes; Birkmann, Joern] Univ Stuttgart, Inst Spatial & Reg Planning IREUS, D-70569 Stuttgart, Germany.
   [Chaves, Carmeli Marie C.; Lorenzo, Evelyn; Islam, Sonia] Univ Philippines, Sch Urban & Reg Planning SURP, Quezon City 1101, Philippines.
C3 University of Stuttgart; University of the Philippines System;
   University of the Philippines Diliman
RP Lauer, H (corresponding author), Univ Stuttgart, Inst Spatial & Reg Planning IREUS, D-70569 Stuttgart, Germany.
EM hannes.lauer@ireus.uni-stuttgart.de
OI Islam, Sonia/0009-0003-4668-3337; Lauer, Hannes/0000-0001-7596-9471
FU Bundesministerium fur Bildung und Forschung [01LE1906C1]
FX This research has been supported by the Bundesministerium fur Bildung
   und Forschung (grant no. 01LE1906C1).
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Ajibade I, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102576
   Ajibade I, 2019, CLIMATIC CHANGE, V157, P299, DOI 10.1007/s10584-019-02535-1
   Alvarez M., 2019, Radical Housing Journal, V1, P49
   Cao A, 2021, CURR OPIN ENV SUST, V50, P87, DOI 10.1016/j.cosust.2021.02.010
   Arnall A, 2019, CLIM DEV, V11, P253, DOI 10.1080/17565529.2018.1442799
   Ballesteros M. M., 2017, Evaluation for Agenda 2030: Providing Evidence on Progress and Sustainability, P257
   Ballesteros M. M., 2013, PIDS Discussion Paper Series
   Ballesteros M. M., 2002, PIDS Discussion Paper Series
   Birkmann J., 2022, Routledge handbook of environmental hazards and society, DOI [10.4324/9780367854584-13, DOI 10.4324/9780367854584-13]
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Carey J, 2020, P NATL ACAD SCI USA, V117, P13182, DOI 10.1073/pnas.2008198117
   Cernea M, 1997, WORLD DEV, V25, P1569, DOI 10.1016/S0305-750X(97)00054-5
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   de Guzman J. S., 2023, INQUIRER.net
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   de Wet Chris., 2006, DEV INDUCED DISPLACE, P1, DOI [10.3167/9781845450953, DOI 10.3167/9781845450953]
   Delos Reyes M. R., 2015, Public Policy, 2014-2015, P173
   Doberstein B, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109753
   Du J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410600
   Ellao J. A. J., 2013, From danger zones to a death zone
   Ferris E., 2020, J Migr Hum Secur, V8, P134
   Galuszka J., 2018, Policy Notes
   Galuszka J., 2020, Int. Dev. Plann. Rev., P1, DOI [10.14279/DEPOSITONCE-10072, DOI 10.14279/DEPOSITONCE-10072]
   Galuszka J, 2019, PLAN THEORY PRACT, V20, P395, DOI 10.1080/14649357.2019.1624811
   Glavovic BC., 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability, P2163, DOI DOI 10.1017/9781009325844.019
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Haasnoot M, 2021, SCIENCE, V372, P1287, DOI 10.1126/science.abi6594
   Hauer ME, 2020, NAT REV EARTH ENV, V1, P28, DOI 10.1038/s43017-019-0002-9
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Hoang T, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101589
   Horton RM, 2021, SCIENCE, V372, P1279, DOI 10.1126/science.abi8603
   IPCC, 2014, Climate Change 2014-Impacts, Adaptation, and Vulnerability: Part A: Global and Sectoral Aspects: Working Group II Contribution to the IPCC Fifth Assessment Report: Global and Sectoral Aspects, V1
   Jensen S., Reconfiguring Manila: Displacement, Resettlement, and the Productivity of Urban Divides, DOI [10.1007/s12132-020-09399-0#citeas, DOI 10.1007/S12132-020-09399-0#CITEAS]
   Jensen S, 2020, URBAN FORUM, V31, P389, DOI 10.1007/s12132-020-09399-0
   Jevrejeva S, 2016, P NATL ACAD SCI USA, V113, P13342, DOI 10.1073/pnas.1605312113
   Katigbak T. K., 2023, Manila Bulletin
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Lapidez J. P., Nat. Hazards Earth Syst. Sci., V15
   Lauer H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020829
   Lee H., 2023, IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I
   Lorenzo Perez M. A., 2022, Understanding the Impacts of Managed Retreat and Resettlement on Informal Communities
   Mach KJ, 2021, SCIENCE, V372, P1294, DOI 10.1126/science.abh1894
   Maldonado JK, 2013, CLIMATIC CHANGE, V120, P601, DOI 10.1007/s10584-013-0746-z
   Mateo J., 2022, In city housing eyed for informal settlers
   McLeman R, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03056-6
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   Nicolas G. M., 2021, Do not forget Kasiglahan Village
   Rahman HMT, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00002
   Republic of the Philippines, 2017, Performance Audit Report on In-City Resettlement Housing Program (PAO Report No. 2017-02)
   Republic of the Philippines, 2022, National Resettlement Policy Framework
   Republic of the Philippines, Operations Manual: Requirements, processes, and guidelines for the implementation of the 4PH Program
   Republic of the Philippines, Executive Order No.34. 20230717-EO-34-FRM, President of the Philippines
   Rodolfo KS, 2006, DISASTERS, V30, P118, DOI 10.1111/j.1467-9523.2006.00310.x
   Rogers S, 2020, PROG HUM GEOG, V44, P256, DOI 10.1177/0309132518824659
   Saguin KK, 2022, J URBAN TECHNOL, V29, P145, DOI 10.1080/10630732.2021.2009288
   Sakdapolrak P, 2024, CLIM DEV, V16, P87, DOI 10.1080/17565529.2023.2180318
   Scott M, 2020, PLAN THEORY PRACT, V21, P125, DOI 10.1080/14649357.2020.1704130
   Scudder T., 1993, Journal of Refugee Studies, V6, P123
   Szaboova L, 2023, ONE EARTH, V6, P620, DOI 10.1016/j.oneear.2023.05.009
   Tablazon J, 2015, NAT HAZARD EARTH SYS, V15, P557, DOI 10.5194/nhess-15-557-2015
   Tadgell A, 2017, INT J DISAST RISK RE, V22, P447, DOI 10.1016/j.ijdrr.2017.01.005
   UN-Habitat, 2023, UN Habitat Philippines Country Report 2023
   World Bank, 2017, Full Report
NR 64
TC 0
Z9 0
U1 1
U2 1
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PD JUL 3
PY 2024
VL 24
IS 7
BP 2243
EP 2261
DI 10.5194/nhess-24-2243-2024
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA XG4C1
UT WOS:001260506700001
OA gold
DA 2025-01-10
ER

PT J
AU Belle, J
   Mapingure, T
   Owolabi, ST
AF Belle, Johanes
   Mapingure, Tendai
   Owolabi, Solomon Temidayo
TI Factors Influencing Rural Women's Adoption of Climate Change Adaptation
   Strategies: Evidence from the Chivi District of Zimbabwe
SO CLIMATE
LA English
DT Article
DE climate change; adaptation strategies; female-headed household; logit
   model; Sub-Saharan Africa
ID AGRICULTURAL TECHNOLOGIES; VULNERABILITY; VARIABILITY; RESILIENCE; KENYA
AB The socio-cultural leadership system in rural communities of developing countries is generally gender-biased, thus rendering female-headed households (FHHs) vulnerable to climate change risk. This study explored the factors influencing FHHs' adoption of a climate change adaptation strategy (CCAS) in Chivi District, Zimbabwe. We used a multistage sampling technique and logistic regression to evaluate 107 women household heads' livelihood and their decision to adopt the CCAS in Ward 25 of the Chivi District. The results show that the age of the female head significantly influenced the CCAS decision (R2 = -0.073), along with marital status (R2 = 0.110), agricultural training (R2 = 0.133), club membership (R2 = 0.084), and farm size (R2 = 0.014). Access to formal agricultural training plays a prominent role. At the same time, the institutional framework showed variations and laxity on the part of the local government, as access to extension services varies significantly. In addition, education level was reported to have an insignificant (p = 0.098) influence on CCAS adoption. Overall, multiple institutional and socio-economic factors are essential in influencing CCAS decisions. Hence, central and local governments are encouraged to improve outreach strategies on deploying supporting tools, extension agents, and vital stakeholders for strategic information dissemination to sensitize rural dwellers and community leaders on women's and FHHs' crucial role in food security and their resilience to climate change risk. Moreover, the educational syllabus can be enhanced at all rural education levels to reshape the norms of future generations against the customary impact of old age on farming approaches and to encourage women's participation in decision making and interventions, particularly those sensitive to their societal contributions.
C1 [Belle, Johanes; Mapingure, Tendai; Owolabi, Solomon Temidayo] Univ Free State, Fac Nat & Agr Sci, Disaster Management Training & Educ Ctr Africa, POB 339, ZA-9300 Bloemfontein, South Africa.
C3 University of the Free State
RP Owolabi, ST (corresponding author), Univ Free State, Fac Nat & Agr Sci, Disaster Management Training & Educ Ctr Africa, POB 339, ZA-9300 Bloemfontein, South Africa.
EM belleja@ufs.ac.za; tendaimapingure@gmail.com; solomonowolabi11@gmail.com
RI Owolabi, Solomon/KSM-2773-2024; Belle, Johanes Amate/LIG-2349-2024
OI Belle, Johanes Amate/0000-0003-0770-8995; Owolabi, Solomon
   Temidayo/0000-0001-5423-3975
CR Abegunde VO, 2019, CLIMATE, V7, DOI 10.3390/cli7110132
   Adebisi-Adelani O., 2013, Journal of Agricultural and Biological Science, V8, P344
   Adego T, 2022, CLIM DEV, V14, P487, DOI 10.1080/17565529.2021.1943296
   Adeola O., 2023, Gender Equality, Climate Action, and Technological Innovation for Sustainable Development in Africa, P59
   Adetuyi Ayodele M., 2022, WSEAS Transactions on Environment and Development, P737, DOI 10.37394/232015.2022.18.69
   Afuye GA, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-05221-0
   Alston M, 2014, WOMEN STUD INT FORUM, V47, P287, DOI 10.1016/j.wsif.2013.01.016
   Andrijevic M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19856-w
   Asfaw S, 2012, FOOD POLICY, V37, P283, DOI 10.1016/j.foodpol.2012.02.013
   Batliwala S, 2007, DEV PRACT, V17, P557, DOI 10.1080/09614520701469559
   Birkmann J., 2008, Assessing vulnerability before, during and after a natural disaster in fragile regions: case study of the 2004 Indian Ocean tsunami in Sri Lanka and Indonesia
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Burke WJ, 2015, AM J AGR ECON, V97, P1227, DOI 10.1093/ajae/aav009
   Chikodzi D., 2014, Scenar. Soc. Opportunities. Am. J. Clim. Chang, V8, P21
   Chikova H., 2013, Institutional Framework and Climate Change Adaptation: The case of Sustainable Land Management in Chivi District, Zimbabwe
   Chumky T, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032756
   Creswell JW, 2000, THEOR PRACT, V39, P124, DOI 10.1207/s15430421tip3903_2
   Datta P, 2022, ENVIRON MANAGE, V70, P911, DOI 10.1007/s00267-022-01724-6
   Dube N, 2023, DEV SO AFR, V40, P1308, DOI 10.1080/0376835X.2023.2229874
   Fahad S, 2023, ENVIRON DEV SUSTAIN, V25, P5561, DOI 10.1007/s10668-022-02280-z
   Ferrant G., 2015, Annals of Economics and Statistics, V117, P313, DOI [DOI 10.15609/ANNAECONSTAT2009.117-118, 10.15609/annaeconstat2009.117-118.313, DOI 10.15609/ANNAECONSTAT2009.117-118.313]
   Figueiredo P, 2013, J CLEAN PROD, V60, P188, DOI 10.1016/j.jclepro.2012.02.025
   Flato M, 2017, WORLD DEV, V90, P41, DOI 10.1016/j.worlddev.2016.08.015
   Flora C.B., 2015, Sustainable Intensification to Advance Food Security and Enhance Climate Resilience in Africa, P515, DOI [10.1007/978-3-319-09360-4_27, DOI 10.1007/978-3-319-09360-4_27]
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gachathi F.N., 2012, Sustainable Adaptation to Climate Change, P59
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gikandi JW, 2010, ELECTRON COMMER R A, V9, P277, DOI 10.1016/j.elerap.2009.12.003
   Global Gender and Climate Alliance, 2016, Gender and Climate Change: A Closer Look at Existing Evidence
   Handayani W, 2018, IOP C SER EARTH ENV, V129, DOI 10.1088/1755-1315/129/1/012025
   Hanigan IC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19137855
   HOFFMAN SD, 1988, DEMOGRAPHY, V25, P415, DOI 10.2307/2061541
   Intergovernmental Panel on Climate Change (IPCC), 2018, Special Reports on Climate Change and un Framework Convention on Climate Change
   Jaiyeola EO., 2020, Journal of Research on Women and Gender, V10, P3
   Jaka Hilda, 2018, Jamba, V10, P524, DOI 10.4102/jamba.v10i1.524
   Jiri O, 2017, INT J CLIM CHANG STR, V9, P151, DOI 10.1108/IJCCSM-07-2016-0092
   Kabubo-Mariara J, 2008, NAT RESOUR FORUM, V32, P131, DOI 10.1111/j.1477-8947.2008.00178.x
   Khraim H.S., 2011, International Journal of Business and Social Science, V2, P96
   Kibue GW, 2016, ENVIRON MANAGE, V57, P976, DOI 10.1007/s00267-016-0661-y
   Langyintuo AS, 2008, AFR J AGRIC RESOUR E, V2, P151
   Lebni JY, 2020, BMC WOMENS HEALTH, V20, DOI 10.1186/s12905-020-01046-x
   Liverman D, 2022, NATURE, V602, P30, DOI 10.1038/d41586-022-00208-1
   Magwegwe E, 2024, CLIMATE, V12, DOI 10.3390/cli12080126
   Mahaarcha W., 2019, Humanit. Arts Soc. Sci. Stud, V19, P70
   Msuya NH, 2019, J ASIAN AFR STUD, V54, P1145, DOI 10.1177/0021909619863085
   Mudzonga E., 2012, P TRAPCA TRAD POL RE
   Musumba M, 2022, AGR ECON-BLACKWELL, V53, P246, DOI 10.1111/agec.12694
   Muzamhindo N., 2015, J. Econ. Sustain. Dev, V6, P1
   Muzari W., 2016, International Journal of Science and Research, V5, P1762, DOI DOI 10.21275/V5I1.23011602
   Mwadzingeni L, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273648
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   Nciizah E, 2021, Routledge Cont Afric, P50
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nnadi OI, 2023, ENVIRON MANAGE, V71, P201, DOI 10.1007/s00267-022-01748-y
   Nyathi D., 2024, Climate Crisis, Social Responses and Sustainability: Socio-Ecological Study on Global Perspectives, P541
   Okoye CU, 1998, SOIL TILL RES, V45, P251, DOI 10.1016/S0933-3630(96)00137-7
   Onyinyechi IN, 2019, J AGRIC EXT, V23, P122, DOI 10.4314/jae.v23i2.13
   Osman-Elasha B., 2012, UN Chron, V46, P54, DOI [10.18356/5d941c92-en, DOI 10.18356/5D941C92-EN]
   Pello K, 2021, LAND-BASEL, V10, DOI 10.3390/land10040371
   Phiri K., 2013, Mediterr. J. Soc. Sci, V5, P1, DOI [10.5901/mjss.2014.v5n23p2545, DOI 10.5901/MJSS.2014.V5N23P2545]
   Pike F, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102584
   Pinho-Gomes AC, 2024, BMC PUBLIC HEALTH, V24, DOI 10.1186/s12889-024-18880-5
   Poonyth D., 2000, Agrekon, V39, P607
   Rodgers Y., 2019, UN Women, V11, P1, DOI [10.7282/00000259, DOI 10.7282/00000259]
   Saad GE, 2022, J GLOB HEALTH, V12, DOI 10.7189/jogh.12.04038
   Salingre A., 2014, Risks and Conflicts: Local Responses to Natural Disasters, VVolume 14, P251
   Sammie B, 2021, J ENVIRON STUD SCI, V11, P65, DOI 10.1007/s13412-020-00641-6
   Schneider L., 2009, Are There Gender-Specific Preferences for Location Factors? A Grouped Conditional Logit-Model of Interregional Migration Flows in Germany
   Shiferaw B, 2014, WEATHER CLIM EXTREME, V3, P67, DOI 10.1016/j.wace.2014.04.004
   Shongwe P., 2014, Journal of Agricultural Studies, V2, P86, DOI DOI 10.5296/JAS.V2I1.4890
   Southard EML, 2022, RURAL SOCIOL, V87, P873, DOI 10.1111/ruso.12439
   Sultan B, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014040
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Tanner T., 2014, IDS Working Paper - Institute for Development Studies
   Tantoh H.B., 2022, Signs of Water: Community Perspectives on Water, Responsibility, and Hope, P185
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   World Bank, 2022, WOM BUS LAW 2022, DOI [10.1596/978-1-4648-1817-2, DOI 10.1596/978-1-4648-1817-2]
   Zimbabwe National Statistics Agency (ZIMSTAT), 2022, 2022 Population and Housing Census. Preliminary Report on Population Figures
   zimstat.co, 2017, ZimStats Facts and Figures
NR 80
TC 1
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U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD NOV
PY 2024
VL 12
IS 11
AR 191
DI 10.3390/cli12110191
PG 16
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA N4O7O
UT WOS:001364157600001
OA gold
DA 2025-01-10
ER

PT J
AU Hillemann, F
   Beheim, BA
   Ready, E
AF Hillemann, Friederike
   Beheim, Bret A.
   Ready, Elspeth
TI Socio-economic predictors of Inuit hunting choices and their
   implications for climate change adaptation
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE Arctic Canada; food security; hunting; Inuit; risk-sensitive foraging;
   socio-ecological systems
ID HUMAN BEHAVIORAL ECOLOGY; FOOD SHARING NETWORKS; RISK-SENSITIVITY;
   CLYDE-RIVER; SUBSISTENCE; INTEGRATION; STRATEGIES; NUTRIENTS; COMMUNITY;
   MODELS
AB In the Arctic, seasonal variation in the accessibility of the land, sea ice and open waters influences which resources can be harvested safely and efficiently. Climate stressors are also increasingly affecting access to subsistence resources. Within Inuit communities, people differ in their involvement with subsistence activities, but little is known about how engagement in the cash economy (time and money available) and other socio-economic factors shape the food production choices of Inuit harvesters, and their ability to adapt to rapid ecological change. We analyse 281 foraging trips involving 23 Inuit harvesters from Kangiqsujuaq, Nunavik, Canada using a Bayesian approach modelling both patch choice and within-patch success. Gender and income predict Inuit harvest strategies: while men, especially men from low-income households, often visit patches with a relatively low success probability, women and high-income hunters generally have a higher propensity to choose low-risk patches. Inland hunting, marine hunting and fishing differ in the required equipment and effort, and hunters may have to shift their subsistence activities if certain patches become less profitable or less safe owing to high costs of transportation or climate change (e.g. navigate larger areas inland instead of targeting seals on the sea ice). Our finding that household income predicts patch choice suggests that the capacity to maintain access to country foods depends on engagement with the cash economy. This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
C1 [Hillemann, Friederike; Beheim, Bret A.; Ready, Elspeth] Max Planck Inst Evolutionary Anthropol, Dept Human Behav Ecol & Culture, Deutsch Pl 6, D-04103 Leipzig, Germany.
C3 Max Planck Society
RP Hillemann, F; Ready, E (corresponding author), Max Planck Inst Evolutionary Anthropol, Dept Human Behav Ecol & Culture, Deutsch Pl 6, D-04103 Leipzig, Germany.
EM f.hillemann@web.de; elspeth_ready@eva.mpg.de
RI Hillemann, Friederike/J-1370-2019
OI Hillemann, Friederike/0000-0002-8992-0676; Beheim,
   Bret/0000-0003-4653-3155
FU National Science Foundation [PLR-1303874]
FX Data collection was funded by National Science Foundation (grant no.
   PLR-1303874).
CR Barber M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07244-200160
   Beaumier MC, 2015, POLAR REC, V51, P550, DOI 10.1017/S0032247414000618
   Bird RB, 2008, CURR ANTHROPOL, V49, P655, DOI 10.1086/587700
   Bird RB, 2018, NAT HUM BEHAV, V2, P452, DOI 10.1038/s41562-018-0298-3
   Blanchet C., 2002, Sustainable food security in the Arctic, P47
   Bradley Michael, 2005, Int J Circumpolar Health, V64, P468
   Buffa DC, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0391
   Burek KA, 2008, ECOL APPL, V18, pS126, DOI 10.1890/06-0553.1
   BurnSilver S, 2016, AM ANTHROPOL, V118, P121, DOI 10.1111/aman.12447
   Chabot M., 2008, Occasional Publication, V58, P139
   Collings P, 1998, ARCTIC, V51, P301
   Collings P, 2014, MCG QUEENS NATIVE, V73, P1
   Collings P, 2016, ECOL FOOD NUTR, V55, P30, DOI 10.1080/03670244.2015.1072812
   Collings P, 2011, ARCTIC, V64, P207
   CONDON RG, 1995, ARCTIC, V48, P31
   E. Ready, 2021, Impacts of Carbon Pricing on the Hunting, Fishing and Trapping Economy in the Inuvialuit Settlement Region
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Fox S., 2002, EARTH IS FASTER NOW, P12
   Green KM, 2021, ECOL SOC, V26, DOI 10.5751/ES-12783-260415
   Gurven M, 2000, EVOL HUM BEHAV, V21, P263, DOI 10.1016/S1090-5138(00)00032-5
   Gurven M, 2015, HUM ECOL, V43, P515, DOI 10.1007/s10745-015-9764-y
   Harder MT, 2012, ARCTIC, V65, P305
   HAWKES K, 1993, CURR ANTHROPOL, V34, P341, DOI 10.1086/204182
   HAWKES K, 1991, ETHOL SOCIOBIOL, V12, P29, DOI 10.1016/0162-3095(91)90011-E
   Hawkes K, 2001, EVOL HUM BEHAV, V22, P113, DOI 10.1016/S1090-5138(00)00066-0
   Hillemann F., 2023, Data for: Socio-economic predictors of Inuit hunting choices and their implications for climate change adaptation
   Hillemann Friederike, 2023, Dryad, DOI 10.5061/DRYAD.K3J9KD5DV
   Hoover C, 2016, SOLUTIONS, V7, P40
   Huntington HP, 2016, BIOL LETTERS, V12, DOI 10.1098/rsbl.2016.0198
   Huntington HP, 2013, DEEP-SEA RES PT II, V94, P312, DOI 10.1016/j.dsr2.2013.03.016
   Jessen Williamson K., 2011, Arctic, V66, P500
   Jones JH, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23539
   Jones JH, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1210
   Jones JH., 2022, Subsistence risk-management networks, DOI [10.31235/osf.io/9det8, DOI 10.31235/OSF.IO/9DET8]
   Kacelnik A, 1997, TRENDS COGN SCI, V1, P304, DOI 10.1016/S1364-6613(97)01093-0
   Kenny TA., 2018, Global Change Biol, V27, P590
   Kenny TA, 2018, FOOD POLICY, V80, P39, DOI 10.1016/j.foodpol.2018.08.006
   Kenny TA, 2018, PUBLIC HEALTH NUTR, V21, P1319, DOI 10.1017/S1368980017003810
   Kishigami Nobuhiro., 2005, INDIGENOUS USE MANAG, P121
   Koster J, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aax9070
   Koster JM, 2014, SOC NETWORKS, V38, P100, DOI 10.1016/j.socnet.2014.02.002
   Krupnik I, 2010, SIKU: KNOWING OUR ICE: DOCUMENTING INUIT SEA-ICE KNOWLEDGE AND USE, P1, DOI 10.1007/978-90-481-8587-0
   Kuhnlein HV, 2007, J NUTR, V137, P1110, DOI 10.1093/jn/137.4.1110
   Kuznar LA, 2001, CURR ANTHROPOL, V42, P432, DOI 10.1086/320483
   Latai-Niusulu A, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0392
   Lawn J., 2004, NUTR FOOD SECURITY K
   Lyle HF, 2014, P NATL ACAD SCI USA, V111, P4820, DOI 10.1073/pnas.1318372111
   Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x
   Mc CarthyJames J., 2005, Arctic Climate Impact Assessment, P945
   Moerlein KJ, 2012, ECOL SOC, V17, DOI 10.5751/ES-04543-170110
   Naylor AW, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.688350
   Nettle D, 2013, BEHAV ECOL, V24, P1031, DOI 10.1093/beheco/ars222
   Pilfold NW, 2021, GLOBAL CHANGE BIOL, V27, P4481, DOI 10.1111/gcb.15537
   Pisor A, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0390
   Pisor Anne C, 2023, Dryad, DOI 10.5061/DRYAD.BNZS7H4H4
   Pisor AC, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23530
   Pretelli I, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn9889
   Ready E., 2015, Arctic and International Relations Series. Quebec policy on the Arctic: challenges and perspectives, P50
   Ready E, 2021, EVOL ANTHROPOL, V30, P71, DOI 10.1002/evan.21885
   Ready E, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23516
   Ready E, 2018, HUM ORGAN, V77, P122, DOI 10.17730/0018-7259-77.2.122
   Ready E, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193759
   Ready E, 2018, CURR ANTHROPOL, V59, P74, DOI 10.1086/696018
   Ready E, 2016, ARCTIC, V69, P266, DOI 10.14430/arctic4579
   Rubenstein D.I., 1982, P91
   Saladin dAnglure B., 1986, Etudes/Inuit/Studies, V10, P25
   Scaggs SA, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23573
   Searles E., 2002, FOOD FOODWAYS, V10, P55, DOI [DOI 10.1080/07409710212485, DOI 10.1080/07409710190032232]
   SIMON HA, 1959, AM ECON REV, V49, P253
   Smith E.A., 1992, Evolutionary Ecology and Human Behavior
   SMITH EA, 1985, ETHOL SOCIOBIOL, V6, P27, DOI 10.1016/0162-3095(85)90039-1
   Smith EricAlden., 1991, INUJJUAMIUT FORAGING
   Stan Development Team, 2022, Stan modeling language users guide and reference manual
   Stephens D.W., 1986, pi
   Trudeau N., 2002, SUSTAINABLE FOOD SEC, P103
   Tucker B, 2007, HUM NATURE-INT BIOS, V18, P162, DOI 10.1007/s12110-007-9007-z
   Tucker B, 2010, HUM ORGAN, V69, P375, DOI 10.17730/humo.69.4.m1n76k5272632873
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   Wenzel G. W., 1981, Clyde Inuit Adaptation and Ecology: The Organization of Subsistence
   Wenzel GW, 2009, POLAR RES, V28, P89, DOI 10.1111/j.1751-8369.2009.00098.x
   WENZEL GW, 1995, ARCTIC ANTHROPOL, V32, P43
   Wheeler P., 2005, ALASKA J ANTHR, V3, P69
   Winterhalder B, 1997, J ARCHAEOL RES, V5, P121, DOI 10.1007/BF02229109
   Winterhalder B., 1990, Open field, common pot: harvest variability and risk avoidance in agricultural and foraging societies, P67
NR 84
TC 2
Z9 2
U1 2
U2 5
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 SEP 18
PY 2023
VL 378
IS 1889
AR 20220395
DI 10.1098/rstb.2022.0395
PG 9
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA LA8L3
UT WOS:001184146600002
PM 37718596
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU He, R
   Jin, JJ
   Qiu, X
   Zhang, CY
   Yan, JB
AF He, Rui
   Jin, Jianjun
   Qiu, Xin
   Zhang, Chenyang
   Yan, Jubo
TI Rural residents' climate change perceptions, personal experiences, and
   purchase intention-behavior gap in energy-saving refrigeration
   appliances in Southwest China
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Energy-saving refrigeration appliances; Purchase intention; Purchase
   behavior; Intention-behavior gap; Climate change perception; Personal
   experience
ID PRO-ENVIRONMENTAL BEHAVIOR; DETERMINANTS; HOUSEHOLDS; COGNITION;
   ADOPTION; WASTE
AB In the context of climate change, energy-saving refrigeration appliances play an essential role in lowering carbon emissions. Based on survey data from interviews with rural residents in Chongqing, China, this study investigated residents' purchase intention, behavior, and intention-behavior gap with respect to energy-saving refrigeration appliances, including air conditioners and refrigerators. Econometric models were employed to identify the gap and explore its influencing factors from the aspects of rural residents' climate change perceptions and personal experiences. The results demonstrate that there is an intention-behavior gap. Among the rural residents inter-viewed, approximately 84.19% had intention, but only 20.99% exhibited consistent behavior. The findings indicate that the influencing factors on rural residents' purchase intention and actual behavior are different. One's perception of the possibility of climate change and the self-efficacy and family efficacy of climate change adaptation positively promote his or her intention, behavior, and intention-behavior conversion. However, one's perception of inefficacy and affective impression hinder intention, behavior, and intention-behavior conversion. Cost perception impedes behavior and intention-behavior consistency, while a broad and direct perception of relationships between climate change and energy use behavior can facilitate them, although this perception fails to influence intention. Climate hazards suffered and experiences of climate change adaptation can promote intention but hinder actual behavior, resulting in negative intention-behavior consistency. Based on these findings, some effective policy implications were put forward to enhance intention-behavior transformation and sustainable household carbon reduction in relation to energy-saving refrigeration appliances.
C1 [He, Rui; Jin, Jianjun; Qiu, Xin; Zhang, Chenyang] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol E, Beijing 100875, Peoples R China.
   [He, Rui; Jin, Jianjun; Qiu, Xin; Zhang, Chenyang] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China.
   [Yan, Jubo] Nanyang Technol Univ, Sch Social Sci, 48 Nanyang Ave, Singapore 639818, Singapore.
C3 Beijing Normal University; Beijing Normal University; Nanyang
   Technological University
RP Jin, JJ (corresponding author), Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol E, Beijing 100875, Peoples R China.
EM 201621190023@mail.bnu.edu.cn; jjjin@bnu.edu.cn
RI Yan, Jubo/AHB-4482-2022
OI Yan, Jubo/0000-0002-5333-8465
FU Second Tibetan Plateau Scientific Expedition and Research Program;
   National Natural Science Foundation of China;  [2019QZKK0608]; 
   [41671170]
FX This work was financially supported by the Second Tibetan Plateau
   Scientific Expedition and Research Program (No. 2019QZKK0608) and the
   National Natural Science Foundation of China (No. 41671170) .
CR Abbas Q, 2022, LAND USE POLICY, V119, DOI 10.1016/j.landusepol.2022.106184
   Aini MS, 2013, ENERG POLICY, V61, P1055, DOI 10.1016/j.enpol.2013.06.002
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Bain PG, 2016, NAT CLIM CHANGE, V6, P154, DOI [10.1038/NCLIMATE2814, 10.1038/nclimate2814]
   Bockarjova M, 2014, GLOBAL ENVIRON CHANG, V28, P276, DOI 10.1016/j.gloenvcha.2014.06.010
   Bojo J., 2019, POVERTY REDUCTION ST
   Boto-García D, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106530
   Bradley GL, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101410
   Breakwell G. M., 2003, The Social Amplification of Risk. The Social Amplification of Risk, P80, DOI [DOI 10.1017/CBO9780511550461, 10.1017/CBO9780511550461]
   Bu Y, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2022.106744
   Cao H, 2022, J ENVIRON MANAGE, V315, DOI 10.1016/j.jenvman.2022.115179
   Chen CF, 2017, ENERGY RES SOC SCI, V26, P61, DOI 10.1016/j.erss.2017.01.009
   Chen WD, 2019, SCI TOTAL ENVIRON, V683, P729, DOI 10.1016/j.scitotenv.2019.05.307
   China Electricity Council, 2021, CHIN STAT YB EL POW
   Choi S, 2021, J ENVIRON PSYCHOL, V75, DOI 10.1016/j.jenvp.2021.101618
   Chongqing Statistics Bureau, 2021, 7 NAT CENS B CHONGQ
   Chongqing Statistics Bureau, 2021, SURV YB CHONGQ 2021
   Cui XJ, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103905
   Detenber B. H., 2020, Research handbook on communicating climate change, P214, DOI [10.4337/9781789900408.00033, DOI 10.4337/9781789900408.00033]
   Ek K, 2010, ECOL ECON, V69, P2356, DOI 10.1016/j.ecolecon.2010.07.002
   Fang XM, 2021, ENERG POLICY, V148, DOI 10.1016/j.enpol.2020.111945
   Farrukh M, 2022, TECHNOL FORECAST SOC, V179, DOI 10.1016/j.techfore.2022.121643
   Fu WZ, 2021, SUSTAIN PROD CONSUMP, V28, P116, DOI 10.1016/j.spc.2021.03.035
   Goeschl T, 2019, ENERG ECON, V84, DOI 10.1016/j.eneco.2019.08.001
   Greaves M, 2013, J ENVIRON PSYCHOL, V34, P109, DOI 10.1016/j.jenvp.2013.02.003
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo YZ, 2022, J RURAL STUD, V93, P430, DOI 10.1016/j.jrurstud.2019.01.007
   Hamann KRS, 2020, J SOC ISSUES, V76, P35, DOI 10.1111/josi.12369
   He K, 2022, ENERG ECON, V108, DOI 10.1016/j.eneco.2022.105885
   He R, 2019, J CLEAN PROD, V215, P305, DOI 10.1016/j.jclepro.2019.01.076
   Homburg A, 2006, J ENVIRON PSYCHOL, V26, P1, DOI 10.1016/j.jenvp.2006.03.003
   Hornsey MJ, 2021, J EXP SOC PSYCHOL, V97, DOI 10.1016/j.jesp.2021.104217
   Hueppe C, 2021, ENERG POLICY, V155, DOI 10.1016/j.enpol.2021.112275
   Karki ST, 2015, ECOL ECON, V117, P129, DOI 10.1016/j.ecolecon.2015.06.022
   Li LY, 2022, J CLEAN PROD, V347, DOI 10.1016/j.jclepro.2022.131296
   Li X, 2019, RESOUR CONSERV RECY, V149, P577, DOI 10.1016/j.resconrec.2019.06.027
   Lin BQ, 2022, SUSTAIN PROD CONSUMP, V31, P432, DOI 10.1016/j.spc.2022.03.015
   Maltby KM, 2021, CLIM RISK MANAG, V31, DOI 10.1016/j.crm.2020.100267
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Meyer EL, 2021, ENERGY REP, V7, P1728, DOI 10.1016/j.egyr.2021.03.013
   National Bureau of Statistics of Chongqing, 2018, CHONGQING STAT YB
   National Bureau of Statistics of Chongqing, 2021, CHONGQING STAT YB
   Ohler AM, 2020, ENERG POLICY, V144, DOI 10.1016/j.enpol.2020.111607
   Pagliuca MM, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2021.106722
   Reser JP, 2014, WIRES CLIM CHANGE, V5, P521, DOI 10.1002/wcc.286
   Rosenthal S, 2022, J ENVIRON PSYCHOL, V81, DOI 10.1016/j.jenvp.2022.101796
   Rostamzadeh H., 2018, APPL THERM ENG, V173, DOI [10.1016/j.applthermaleng.2020.115113, DOI 10.1016/J.APPLTHERMALENG.2020.115113]
   Saari UA, 2021, ECOL ECON, V189, DOI 10.1016/j.ecolecon.2021.107155
   Sarmah H.K., 2012, B GAUHATI U MATH ASS, V12, P55
   Sjöberg L, 2006, J RISK RES, V9, P101, DOI 10.1080/13669870500446068
   Slovic P, 2007, EUR J OPER RES, V177, P1333, DOI 10.1016/j.ejor.2005.04.006
   Smiley KT, 2022, CITIES, V122, DOI 10.1016/j.cities.2021.103538
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Suárez-Perales I, 2021, J CLEAN PROD, V321, DOI 10.1016/j.jclepro.2021.128972
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Tam KP, 2022, J ENVIRON PSYCHOL, V79, DOI 10.1016/j.jenvp.2021.101754
   Tranter B, 2013, AUST J POLIT HIST, V59, P397, DOI 10.1111/ajph.12023
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   van Holsteijn F, 2018, RESOUR CONSERV RECY, V128, P25, DOI 10.1016/j.resconrec.2017.09.012
   van Zorneren M, 2010, J ENVIRON PSYCHOL, V30, P339, DOI 10.1016/j.jenvp.2010.02.006
   Wang CC, 2021, J CLEAN PROD, V321, DOI 10.1016/j.jclepro.2021.128952
   Wang YT, 2022, TOURISM MANAGE, V91, DOI 10.1016/j.tourman.2022.104527
   Wyss AM, 2022, J ENVIRON PSYCHOL, V79, DOI 10.1016/j.jenvp.2021.101748
   Xue MT, 2021, ENVIRON IMPACT ASSES, V91, DOI 10.1016/j.eiar.2021.106672
   Yoon A, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2020.144782
   Yu JL, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102734
   Zhang SL, 2021, J ENVIRON MANAGE, V290, DOI 10.1016/j.jenvman.2021.112591
   Zhang XB, 2020, ENERGY RES SOC SCI, V68, DOI 10.1016/j.erss.2020.101605
   Zhang XL, 2017, ENERG POLICY, V102, P116, DOI 10.1016/j.enpol.2016.12.010
NR 70
TC 21
Z9 22
U1 17
U2 104
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 JAN
PY 2023
VL 98
AR 106967
DI 10.1016/j.eiar.2022.106967
EA NOV 2022
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6E9UE
UT WOS:000883716500007
DA 2025-01-10
ER

PT J
AU Locatelli, B
   Laurenceau, M
   Chumpisuca, YRC
   Pramova, E
   Vallet, A
   Conde, YQ
   Zavala, RC
   Djoudi, H
   Lavorel, S
   Colloff, MJ
AF Locatelli, Bruno
   Laurenceau, Martin
   Chumpisuca, Yaneth Roxana Calla
   Pramova, Emilia
   Vallet, Ameline
   Conde, Yesica Quispe
   Zavala, Ronal Cervantes
   Djoudi, Houria
   Lavorel, Sandra
   Colloff, Matthew J.
TI In people's minds and on the ground: Values and power in climate change
   adaptation
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Belief; Attitude; Water; Nature -based solution; Ecosystem service;
   Andes
ID ECOSYSTEM SERVICES PES; POLITICAL ECOLOGIES; SOCIAL-CHANGE; WATER;
   KNOWLEDGE; PAYMENTS; ANDES; BELIEFS; CONSERVATION; SYSTEMS
AB As decisions on climate change adaptation involve stakeholders with different values, beliefs and attitudes (VBA), decision outcomes depend on how stakeholders interact and how power is distributed. In this paper, we explore the VBA of stakeholders involved in three water management projects focusing on dams, micro -reservoirs, or wetlands in a Peruvian watershed facing droughts. We apply a framework with the core ideas of the hydrosocial cycle, the decision context perspective, and the VBA hierarchy to show how stakeholders' per-spectives and power influence practices on the ground. The analysis of VBA reveals three different perspectives on water management held by different stakeholder groups. First, a community-based perspective, frequent among local communities, favors micro-reservoirs managed by communities. Second, an infrastructure-based perspective, frequent among public sector stakeholders, shows a preference for dams managed by the private sector. Third, a nature-based perspective, with a preference for wetlands managed by the public sector, is found across stakeholder groups. In the three water management projects, different power distributions determine which VBA dominate and influence practices on the ground. Dams on the ground represent power from the public and private sectors, while micro-reservoirs represent local grassroot control. In the wetland project, the outcomes of the evolving hydrosocial cycle are still unclear and will depend on how multiple perspectives are considered. Examining and questioning the decision context in which adaptation occurs can help excluded stakeholders achieve more power and agency and tackle the fundamental question of 'adaptation of what and for whom'.
C1 [Locatelli, Bruno] Univ Montpellier, Forests & Soc, CIRAD, Montpellier, France.
   [Locatelli, Bruno; Laurenceau, Martin; Pramova, Emilia] CIFOR, Lima, Peru.
   [Laurenceau, Martin] AgroParisTech, Paris, France.
   [Laurenceau, Martin] Inst Res Dev, Water Resource Management Actors & Uses G EAU, Marseille, France.
   [Chumpisuca, Yaneth Roxana Calla] Univ Nacl Micaela Bastidas Apurimac, UNAMBA, Abancay, Peru.
   [Vallet, Ameline] Univ Paris Saclay, Univ Paris Sud, AgroParisTech, CNRS,Ecol Systemat Evolut, Orsay, France.
   [Vallet, Ameline] Univ Paris Saclay, Ecole Ponts ParisTech, AgroParisTech, CNRS,Cirad EHESS,CIRED, Nogent-sur-marne, Marne, France.
   [Conde, Yesica Quispe; Zavala, Ronal Cervantes] Univ Nacl Agr Molina, Lima, Peru.
   [Conde, Yesica Quispe; Zavala, Ronal Cervantes] SUNASS, Abancay, Peru.
   [Djoudi, Houria] CIFOR, Bogor, Indonesia.
   [Lavorel, Sandra] Univ Savoie Mt Blanc, Univ Grenoble Alpes, CNRS, Lab Ecol Alpine, Grenoble, France.
   [Colloff, Matthew J.] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, Australia.
C3 CIRAD; Universite de Montpellier; CGIAR; Center for International
   Forestry Research (CIFOR); AgroParisTech; Institut de Recherche pour le
   Developpement (IRD); Universidad Nacional Micaela Bastidas De Apurimac;
   Universite Paris Saclay; Centre National de la Recherche Scientifique
   (CNRS); AgroParisTech; Institut Polytechnique de Paris; Ecole des Ponts
   ParisTech; Centre National de la Recherche Scientifique (CNRS);
   AgroParisTech; Universite Paris Saclay; Universidad Nacional Agraria La
   Molina; CGIAR; Center for International Forestry Research (CIFOR);
   Universite Savoie Mont Blanc; Communaute Universite Grenoble Alpes;
   Universite Grenoble Alpes (UGA); Centre National de la Recherche
   Scientifique (CNRS); Australian National University
RP Locatelli, B (corresponding author), Univ Montpellier, Forests & Soc, CIRAD, Montpellier, France.
EM bruno.locatelli@cirad.fr
RI Cervantes, Ronal/HSF-1750-2023; Lavorel, Sandra/AGM-2903-2022; Vallet,
   Améline/F-4037-2018; Locatelli, Bruno/C-9957-2009; Colloff,
   Matthew/B-7398-2009
OI Locatelli, Bruno/0000-0003-2983-1644; Cervantes,
   Ronal/0000-0002-5503-5900; Vallet, Ameline/0000-0002-2731-0098; Colloff,
   Matthew/0000-0002-3765-0627; Calla Chumpisuca, Yaneth
   Roxana/0000-0002-6238-9053
FU German Federal Ministry for the Environment, Nature Conservation,
   Building and Nuclear Safety (BMUB) [15_III_075]; Norwegian Agency for
   Development Cooperation [QZA-016/0110]; French Funding Agency for
   research [17-CE32-0012]; European Union's H2020 research and innovation
   program (SINCERE Project); CGIAR Research Program on Forests, Trees and
   Agroforestry (CRP FTA); CGIAR Fund; French Ministry for the Ecological
   and Inclusive Transition
FX This paper is a contribution from the Transformative Adaptation Research
   Alliance (TARA, https//research.csiro.au/tara/) , an international
   network of researchers and practitioners dedicated to the development
   and implementation of novel approaches to transformative adaptation to
   global change. The funding partners that have supported this research
   include the International Climate Initiative (IKI, project 15_III_075)
   of the German Federal Ministry for the Environment, Nature Conservation,
   Building and Nuclear Safety (BMUB) , the Norwegian Agency for
   Development Cooperation (agreement QZA-016/0110) , the French Funding
   Agency for research (project TRASSE ANR-CONACYT- 17-CE32-0012) , the
   European Union's H2020 research and innovation program (SINCERE Project)
   , the French Ministry for the Ecological and Inclusive Transition, and
   the CGIAR Research Program on Forests, Trees and Agroforestry (CRP FTA)
   with financial support from the CGIAR Fund. The authors are grateful to
   Helvetas, the Andean Forest Program, CEDES, and IDMA for their support
   in organizing the field work. The authors thank all interviewees for
   their time and rich information, and anonymous reviewers for their
   useful comments.
CR Adams EA, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104068
   Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Ajzen I., 2000, European Review of Social Psychology, V11, P1, DOI [10.1080/14792779943000116, DOI 10.1080/14792779943000116]
   Andolina R, 2012, LAT AM RES REV, V47, P3
   Bakker K, 2012, SOC STUD SCI, V42, P616, DOI 10.1177/0306312712441396
   Bianco Benavides G, 2014, TERRITORIALIZATION S
   Bleeker S, 2019, WATER INT, V44, P224, DOI 10.1080/02508060.2019.1558809
   Boelens R, 2014, GEOFORUM, V57, P234, DOI 10.1016/j.geoforum.2013.02.008
   Boldrin A, 2009, INSTR SCI, V37, P107, DOI [10.1007/s11251-007-9038-1, 10.1007/s11251-008-9089-y]
   Bonnesoeur V, 2019, FOREST ECOL MANAG, V433, P569, DOI 10.1016/j.foreco.2018.11.033
   Borras SM, 2012, J PEASANT STUD, V39, P845, DOI 10.1080/03066150.2012.679931
   Borrini-Feyerabend G., 2013, Sharing power: a global guide to collaborative management of natural resources, DOI DOI 10.4324/9781849772525
   Budds J., 2012, Water Alternatives, V5, P119
   Budds J, 2014, GEOFORUM, V57, P167, DOI 10.1016/j.geoforum.2014.08.003
   Budds J, 2013, ENVIRON PLANN D, V31, P275, DOI 10.1068/d3102
   Carey M, 2012, J HIST GEOGR, V38, P181, DOI 10.1016/j.jhg.2011.12.002
   CBC, 2012, PACC SERIE INVESTIGA, V6
   Roa-García MC, 2015, GEOFORUM, V64, P270, DOI 10.1016/j.geoforum.2013.12.002
   Roa-García MC, 2014, WATER ALTERN, V7, P298
   Charli-Joseph L., 2018, PROMOTING AGENCY SOC
   Colloff M.J., 2018, VALUES RULES KNOWLED, DOI 10.13140/RG.2.2.13783.11688/2
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   CONDESAN, 2014, INF DIAGN HIDR RAP M
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Coudrain A, 2005, HYDROLOG SCI J, V50, P925, DOI 10.1623/hysj.2005.50.6.925
   Csardi G., 2018, IGRAPH ROUTINES SIMP
   D'Souza R., 2006, Drowned and damned: Colonial capitalism and flood control in Eastern India
   Drenkhan F, 2015, WIRES WATER, V2, P715, DOI 10.1002/wat2.1105
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   ENNIS CD, 1994, QUEST, V46, P164, DOI 10.1080/00336297.1994.10484118
   Erickson CL, 2019, ANDEAN WORLD, P29
   Fulton DavidC., 1996, Human Dimensions of Wildlife, V1, P24, DOI [10.1080/10871209609359060, DOI 10.1080/10871209609359060]
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Glenk K, 2010, ECOL ECON, V69, P2279, DOI 10.1016/j.ecolecon.2010.06.022
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Harvey P, 2018, J ROY ANTHROPOL INST, V24, P120, DOI 10.1111/1467-9655.12803
   Hicks CC, 2015, CONSERV BIOL, V29, P1471, DOI 10.1111/cobi.12550
   Hogue E. J., 2008, Urban Anthropology, V37, P283
   HOMER PM, 1988, J PERS SOC PSYCHOL, V54, P638, DOI 10.1037/0022-3514.54.4.638
   Hudson Alan., 1998, Geopolitics, V3, P89
   IPBES. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, 2022, SUMMARY POLICYMAKERS, DOI [10.5281/zenodo.6832427, DOI 10.5281/ZENODO.6832427]
   Ishihara H, 2017, ECOL ECON, V139, P45, DOI 10.1016/j.ecolecon.2017.04.007
   Jacobs MH, 2011, WATER RESOUR RES, V47, DOI 10.1029/2009WR008366
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Kahan D.M., 2007, J EMPIR LEGAL STUD, V4, P465, DOI [https://doi.org/10.1111/j.1740-1461.2007.00097.x, DOI 10.1111/J.1740-1461.2007.00097.X, DOI 10.4324/9781849776677]
   Khagram Sanjeev., 2004, DAMS DEV TRANSNATION, DOI DOI 10.7591/9781501727399
   Kolinjivadi V, 2019, LAND USE POLICY, V81, P324, DOI 10.1016/j.landusepol.2018.11.012
   Kolinjivadi V, 2015, ECOL ECON, V118, P99, DOI 10.1016/j.ecolecon.2015.07.008
   Kull CA, 2015, GEOFORUM, V61, P122, DOI 10.1016/j.geoforum.2015.03.004
   Leach M, 2012, J PEASANT STUD, V39, P285, DOI 10.1080/03066150.2012.658042
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2014.08.003, 10.1016/j.geoforum.2013.10.008]
   Lliso B, 2021, ECOL ECON, V182, DOI 10.1016/j.ecolecon.2020.106928
   Locatelli B, 2017, FRONT ECOL ENVIRON, V15, P150, DOI 10.1002/fee.1470
   Loftus A, 2009, THIRD WORLD Q, V30, P953, DOI 10.1080/01436590902959198
   Lovera-Bilderbeek S, 2021, GLOB POLICY, V12, P57, DOI 10.1111/1758-5899.12882
   Lynch BD, 2019, ANDEAN WORLD, P44
   Maggioni L, 2006, LEARN INSTR, V16, P467, DOI 10.1016/j.learninstruc.2006.09.006
   Fonkén MSM, 2014, MIRES PEAT, V15
   Mathez-Stiefel SL, 2017, MT RES DEV, V37, P323, DOI 10.1659/MRD-JOURNAL-D-16-00093.1
   Mills-Novoa M, 2020, GEOFORUM, V115, P90, DOI 10.1016/j.geoforum.2020.06.024
   Morrison TH, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101934
   Murti R, 2014, SAFE HAVENS PROTECTE
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nunn PD, 2016, CLIMATIC CHANGE, V136, P477, DOI 10.1007/s10584-016-1646-9
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Ochoa-Tocachi BF, 2019, NAT SUSTAIN, V2, P584, DOI 10.1038/s41893-019-0307-1
   Pabón-Caicedo JD, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00061
   PACC, 2013, AD MEJ CAMB CLIM AND
   PACC SENAMHI, 2012, SERIE IMPRESA INVEST, V1
   Paerregaard K, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1270
   Partzsch L, 2017, ENVIRON POLIT, V26, P193, DOI 10.1080/09644016.2016.1256961
   Peters E, 1996, J APPL SOC PSYCHOL, V26, P1427, DOI 10.1111/j.1559-1816.1996.tb00079.x
   Petzold J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb330
   Postigo JC, 2021, CLIM DEV, V13, P780, DOI 10.1080/17565529.2020.1850409
   Price JC, 2014, J ENVIRON PSYCHOL, V37, P8, DOI 10.1016/j.jenvp.2013.10.001
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Rathwell KJ, 2015, INT J COMMONS, V9, P851, DOI 10.18352/ijc.584
   Rodriguez de Francisco J.C., 2014, WHY POWER MATTERS PA
   Schultz PW, 2005, J CROSS CULT PSYCHOL, V36, P457, DOI 10.1177/0022022105275962
   SCHWARTZ SH, 1994, J SOC ISSUES, V50, P19, DOI 10.1111/j.1540-4560.1994.tb01196.x
   Segura H, 2020, CLIM DYNAM, V54, P2613, DOI 10.1007/s00382-020-05132-6
   Sen Amartya., 2009, The Idea of Justice
   Serrano Chuima M.R., 2018, THESIS C VALLEJO U L
   Sethamo OA, 2020, CLIM DEV, V12, P448, DOI 10.1080/17565529.2019.1639488
   Seward J.E, 2014, INTERSECTIONAL APPRO
   Shepherd CJ, 2010, CURR ANTHROPOL, V51, P629, DOI 10.1086/656424
   Stensrud AB, 2019, CRIT ANTHROPOL, V39, P420, DOI 10.1177/0308275X18821164
   Stensrud AB, 2016, ETHNOS, V81, P75, DOI 10.1080/00141844.2014.929597
   Tengö M, 2014, AMBIO, V43, P579, DOI 10.1007/s13280-014-0501-3
   Trawick Paul., 2003, STRUGGLE WATER PERU
   Upton C, 2020, DEV CHANGE, V51, P224, DOI 10.1111/dech.12549
   Urteaga-Crovetto P, 2016, ANTIPODE, V48, P1059, DOI 10.1111/anti.12234
   Usón TJ, 2017, GEOFORUM, V85, P247, DOI 10.1016/j.geoforum.2017.07.029
   Vallet A, 2020, ENVIRON SCI POLICY, V114, P329, DOI 10.1016/j.envsci.2020.08.020
   Vallet A, 2019, ECOL SOC, V24, DOI 10.5751/ES-10904-240214
   Van Hecken G, 2018, ECOL ECON, V144, P314, DOI 10.1016/j.ecolecon.2017.10.023
   Van Hecken G, 2015, ECOL ECON, V120, P117, DOI 10.1016/j.ecolecon.2015.10.012
   Vaske JJ, 1999, SOC NATUR RESOUR, V12, P523, DOI 10.1080/089419299279425
   Whittaker D, 2006, SOC NATUR RESOUR, V19, P515, DOI 10.1080/08941920600663912
   Wilson NJ, 2018, ENVIRON PLAN E-NAT, V1, P516, DOI 10.1177/2514848618789378
NR 100
TC 2
Z9 2
U1 1
U2 20
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 NOV
PY 2022
VL 137
BP 75
EP 86
DI 10.1016/j.envsci.2022.08.002
EA AUG 2022
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 5A9TF
UT WOS:000863220700009
OA Green Accepted, Bronze
DA 2025-01-10
ER

PT J
AU Rehman, S
   Jahangir, S
   Azhoni, A
AF Rehman, Sufia
   Jahangir, Selim
   Azhoni, A.
TI GIS based coastal vulnerability assessment and adaptation barriers to
   coastal regulations in Dakshina Kannada district, India
SO REGIONAL STUDIES IN MARINE SCIENCE
LA English
DT Article
DE Coastal vulnerability; Shannon's Entropy; Qualitative method; Adaptation
   barriers
ID CLIMATE-CHANGE ADAPTATION; SHORELINE CHANGE ANALYSIS; SEA-LEVEL RISE;
   MANGALORE COAST; ZONE MANAGEMENT; FLOOD RISK; WEST-COAST; KARNATAKA;
   INDEX; STAKEHOLDER
AB Coastal areas represent fragile and complex ecosystems. Changes in climate, increasing urbanization and industrialization are creating immense pressure on the coastal environment. Coastal erosion, sea level rise, changing morphology of the coastal areas and extreme weather events are some of the threats that coastal regions are experiencing globally. While various studies have assessed the vulnerability of coastal regions quantitatively and spatially, there is a need to supplement these findings with qualitative insights based on human experiences. Thus, the present study carried out a coastal vulnerability assessment along the coastline of Dakshina Kannada district in Karnataka, India using Shannon's Entropy by including eight parameters i.e., slope, elevation, geomorphology, bathymetry, sea level rise, mean tidal range, mean significant wave height and shoreline change. The study also explored the experiences and perceptions of stakeholders regarding adaptation barriers to climate change vulnerabilities for understanding the ground complexities. Coastal vulnerability index (CVI) revealed that nearly 39.7 km of the coastline is vulnerable including areas along Sasihtlu beach, Munda, New Mangalore Port Batapady beach, Uchilla, Kotekar, Ullal beach, Netravati River Area and Mukka beach. Rainfall induced coastal erosion, lack of coordination among the various stakeholders, policy makers and practitioners regarding a common framework for climate change adaptation strategies were identified adaptation barriers. The findings of CVI and adaptation barriers may be used by practitioners and policy makers for framing the adaptation measures for mitigating the implications of the coastal region. (c) 2022 Elsevier B.V. All rights reserved.
C1 [Rehman, Sufia; Azhoni, A.] Natl Inst Technol Karnataka, Dept Civil Engn, Mangalore, Karnataka, India.
   [Jahangir, Selim] Manipal Acad Higher Educ, Prasanna Sch Publ Hlth, Transdisciplinary Ctr Qualitat Methods, Manipal, Karnataka, India.
C3 National Institute of Technology (NIT System); National Institute of
   Technology Karnataka; Manipal Academy of Higher Education (MAHE)
RP Azhoni, A (corresponding author), Natl Inst Technol Karnataka, Dept Civil Engn, Mangalore, Karnataka, India.
EM srfpinky@gmail.com; selim.jahangir@learner.manipal.edu;
   azhoni@nitk.edu.in
RI ; Azhoni, Adani/S-6803-2017
OI Jahangir, Selim/0000-0002-6290-9207; Azhoni, Adani/0000-0001-9198-3273
FU Department of Biotechnology, Govt. of India [BT/IN/TaSE/69/AA/2018-19]
FX We are thankful to the anonymous reviewers for their constructive
   comments and assistance which helped us in improving the quality of the
   manuscript. The authors are grateful to Indian National Centre for Ocean
   Information Services (INCOIS) for providing the necessary data for
   execution of the present research work. The first author and the
   corresponding author gratefully acknowledges the funding provided by the
   Department of Biotechnology, Govt. of India, under the Towards a
   Sustainable Earth theme (Grant No. BT/IN/TaSE/69/AA/2018-19) that made
   this research possible.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adiga S., 2013, G M J INDIAN, V4, P1
   AGRAWAL A, 2022, NEW FRONT SOC POLICY
   Anfuso G, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9010072
   [Anonymous], 2012, Coastal vulnerability Atlas of India
   Armenio E, 2021, OCEAN COAST MANAGE, V211, DOI 10.1016/j.ocecoaman.2021.105731
   Azhoni A, 2018, J HYDROL, V559, P736, DOI 10.1016/j.jhydrol.2018.02.047
   Bagdanaviciute I, 2019, J COAST CONSERV, V23, P785, DOI 10.1007/s11852-018-0638-5
   Bukvic A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072822
   Butler JRA, 2015, COAST MANAGE, V43, P346, DOI 10.1080/08920753.2015.1046802
   Caviedes V, 2020, OCEAN COAST MANAGE, V186, DOI 10.1016/j.ocecoaman.2020.105114
   Chandrashekar VD, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3700-6
   ChenthamilSelvan S., 2014, ASSESSMENT SHORELINE
   Clar C, 2019, J ENVIRON PLANN MAN, V62, P2166, DOI 10.1080/09640568.2018.1536604
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Creswell J.W., 2007, CHOOSING 5 APPROACHE, V2, DOI [10.1016/j.aenj.2008.02.005, DOI 10.1016/J.AENJ.2008.02.005]
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Dale A, 2011, MAR POLICY, V35, P440, DOI 10.1016/j.marpol.2010.10.019
   De Serio F, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8110415
   Department of Ecology and Environment, 2003, STAT ENV REP 2003
   Dwarakish GS, 2008, J APPL REMOTE SENS, V2, DOI 10.1117/1.2919101
   Dwarakish G.S., 2009, GEOGRAPH INF SYST GL
   Fereday J., 2006, International journal of qualitative methods, V5, P80, DOI [DOI 10.1177/160940690600500107, 10.1177/160940690600500107]
   Friese S., 2019, Qualitative Data Analysis with ATLAS.Ti
   Perez BEG, 2019, REMOTE SENS APPL, V16, DOI 10.1016/j.rsase.2019.100263
   Gesch DB, 2018, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00230
   Gornitz V.M., 1990, J COASTAL RES, VSI 9, P201, DOI DOI 10.1007/S10661-017-6282-Y
   Gussmann G, 2021, ENVIRON SCI POLICY, V115, P35, DOI 10.1016/j.envsci.2020.09.028
   Hasan MSU, 2020, J CLEAN PROD, V274, DOI 10.1016/j.jclepro.2020.123077
   Hegde AV, 2007, J COASTAL RES, V23, P1106, DOI 10.2112/04-0259.1
   Himmelstoss E.A., 2018, DIGITAL SHORELINE AN
   Honnanagoudar S.S., 2012, TERRAIN ANAL HYDROGE
   Hoque MA, 2019, OCEAN COAST MANAGE, V181, DOI 10.1016/j.ocecoaman.2019.104898
   Iqbal V., 2012, INT J SCI RES PUBL, V2
   Kantamaneni K, 2018, OCEAN COAST MANAGE, V158, P164, DOI 10.1016/j.ocecoaman.2018.03.039
   Karymbalis E, 2014, J COASTAL RES, P378, DOI 10.2112/SI70-064.1
   Karymbalis E, 2012, CENT EUR J GEOSCI, V4, P561, DOI 10.2478/s13533-012-0101-3
   Konwar M, 2014, J GEOPHYS RES-ATMOS, V119, P6140, DOI 10.1002/2014JD021606
   Koroglu A, 2019, OCEAN COAST MANAGE, V178, DOI 10.1016/j.ocecoaman.2019.05.001
   Krishnan P, 2019, AMBIO, V48, P192, DOI 10.1007/s13280-018-1061-8
   Kulp S, 2016, FRONT EARTH SC-SWITZ, V4, DOI 10.3389/feart.2016.00036
   Kumar A, 2016, ADV GEOGR EVIRON SCI, P249, DOI 10.1007/978-4-431-55741-8_15
   Kumar A, 2010, GEOMORPHOLOGY, V120, P133, DOI 10.1016/j.geomorph.2010.02.023
   Kumar HMV, 2017, CLIMATIC CHANGE, V142, P143, DOI 10.1007/s10584-017-1928-x
   Kumar P, 2021, REG STUD MAR SCI, V47, DOI 10.1016/j.rsma.2021.101992
   Kumar V.S., 2012, Int. J. Oceans Oceanogr, P71, DOI [10.1260/1759-3131.3.1.71, DOI 10.1260/1759-3131.3.1.71, 10.1260/1759-3131.3.1, DOI 10.1260/1759-3131.3.1]
   Kunte PD, 2014, OCEAN COAST MANAGE, V95, P264, DOI 10.1016/j.ocecoaman.2014.04.024
   Manjunatha B.R., 1999, DEPOSITIONAL HIST LA
   Marzouk M, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125723
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   Melet A, 2020, SURV GEOPHYS, V41, P1489, DOI 10.1007/s10712-020-09594-5
   Moffitt DL, 2018, J COASTAL RES, V34, P122, DOI 10.2112/JCOASTRES-D-16-00143.1
   Mohd FA, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104948
   Moschella P., 2007, ENV DESIGN GUIDELINE, P335, DOI [10.1016/B978-008044951-7/50034, DOI 10.1016/B978-008044951-7/50034]
   Murali RM, 2013, NAT HAZARD EARTH SYS, V13, P3291, DOI 10.5194/nhess-13-3291-2013
   Muskananfola MR, 2020, REG STUD MAR SCI, V34, DOI 10.1016/j.rsma.2020.101060
   Nagaraj G., 2013, THESIS NATL I TECHNO
   Nayak S, 2017, GEO-SPAT INF SCI, V20, P174, DOI 10.1080/10095020.2017.1333715
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Phong NT, 2022, OCEAN COAST MANAGE, V218, DOI 10.1016/j.ocecoaman.2022.106037
   Nicholls R.J., 2007, MANAGING COASTAL VUL, P223
   Nicholls RJ, 2021, NAT CLIM CHANGE, V11, P338, DOI 10.1038/s41558-021-00993-z
   Nicu IC, 2021, CATENA, V203, DOI 10.1016/j.catena.2021.105307
   Oktari RS, 2020, WATER-SUI, V12, DOI 10.3390/w12102823
   Pasquier U, 2020, ENVIRON SCI POLICY, V103, P50, DOI 10.1016/j.envsci.2019.10.016
   Paul A., 2020, J COAST SCI, V7, P1
   Pendleton EA., 2004, US Geological Survey Open-File Report 2004-1020
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Post J.C., 1996, Guidelines for integrated coastal zone management
   Pradeep GS, 2015, ARAB J GEOSCI, V8, P3697, DOI 10.1007/s12517-014-1460-5
   Proag V, 2014, PROC ECON FINANC, V18, P369, DOI 10.1016/S2212-5671(14)00952-6
   Qiao G, 2018, INT J APPL EARTH OBS, V68, P238, DOI 10.1016/j.jag.2018.02.009
   Rajaram R, 2019, COASTAL ZONE MANAGEMENT: GLOBAL PERSPECTIVES, REGIONAL PROCESSES, LOCAL ISSUES, P381, DOI 10.1016/B978-0-12-814350-6.00016-1
   Rajasree BR, 2020, J WATERW PORT COAST, V146, DOI 10.1061/(ASCE)WW.1943-5460.0000552
   Ramesh D.A., 2011, J. Environ. Prot., V2, P750
   Ramieri E., 2011, ETC CCA Tech. Pap, V1, P1, DOI DOI 10.13140/RG.2.1.1906.9840
   Rangel-Buitrago N, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2020.105134
   Rao K. Nageswara, 2008, Journal of Coastal Conservation, V12, P195, DOI 10.1007/s11852-009-0042-2
   Rehman S, 2022, RISK ANAL, V42, P2765, DOI 10.1111/risa.13887
   Rehman S, 2021, GEOJOURNAL, V86, P2245, DOI 10.1007/s10708-020-10187-3
   Revadekar JV, 2011, ADV METEOROL, V2011, DOI 10.1155/2011/138425
   Rocha C, 2020, WATER-SUI, V12, DOI 10.3390/w12020360
   Sahin M, 2021, INT J ENVIRON SCI TE, V18, P1591, DOI 10.1007/s13762-020-02922-7
   Sahin O., 2013, STRUCT SURV
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Sekovski I, 2020, OCEAN COAST MANAGE, V183, DOI 10.1016/j.ocecoaman.2019.104982
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI DOI 10.1002/J.1538-7305.1948.TB01338.X
   Shaw J., 1998, Sensitivity of the coasts of Canada to sea-level rise p, P114
   Shetty A, 2020, J EARTH SYST SCI, V129, DOI 10.1007/s12040-020-01504-y
   Shetty A, 2019, J INDIAN SOC REMOTE, V47, P1223, DOI 10.1007/s12524-019-00980-0
   Shetty A, 2015, AQUAT PR, V4, P182, DOI 10.1016/j.aqpro.2015.02.025
   Silva SF, 2017, OCEAN COAST MANAGE, V144, P90, DOI 10.1016/j.ocecoaman.2017.04.010
   Singh A.K., 2017, REGIONAL DEV THEORY, V4, P1
   Singh R.K., 2019, MERA GAON MERA GAURA
   Snoussi M, 2007, ENVIRON MANAGE, V39, P587, DOI 10.1007/s00267-004-0369-2
   Sowmya K, 2019, INT J SEDIMENT RES, V34, P335, DOI 10.1016/j.ijsrc.2018.12.007
   Suhura S, 2018, WATER SCI TECHNOL LI, V78, P269, DOI 10.1007/978-981-10-5711-3_19
   TELAVE AB, 2021, ECOL ENVIRON CONSE S, V27, pS162
   THIAENG C, 1993, OCEAN COAST MANAGE, V21, P81, DOI 10.1016/0964-5691(93)90021-P
   Thinh N., 2017, VIETNAM J EARTH SCI, V39, P87, DOI [10.15625/0866-7187/39/1/9231, DOI 10.15625/0866-7187/39/1/9231]
   Thomas J, 2018, INT SOIL WATER CONSE, V6, P111, DOI 10.1016/j.iswcr.2017.12.001
   Thomas J, 2018, GEOSCI FRONT, V9, P893, DOI 10.1016/j.gsf.2017.05.011
   Thompson D.M., 2015, ANAL BATHYMETRIC SUR
   Tokunaga K, 2021, Ocean risk and resilience action alliance (ORRAA) report
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Tragaki A, 2018, LAND-BASEL, V7, DOI 10.3390/land7020056
   UNDRR, 2021, 2020 NONC YEAR DIS
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   WMO, 2021, WMO atlas of mortality and economic losses from weather, climate and weather extremes (1970-2019)
   Yin J, 2012, J COAST CONSERV, V16, P123, DOI 10.1007/s11852-012-0180-9
   Yoon D.K., 2017, INT J MASS EMERGEN D, V35
   Zhongming Z., 2021, MAJOR NEW REPORT SHO
NR 112
TC 3
Z9 3
U1 1
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-4855
J9 REG STUD MAR SCI
JI Reg. Stud. Mar. Sci.
PD SEP
PY 2022
VL 55
AR 102509
DI 10.1016/j.rsma.2022.102509
EA JUL 2022
PG 14
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 6F0QR
UT WOS:000883775500007
DA 2025-01-10
ER

PT J
AU Frommer, B
AF Frommer, Birte
TI Climate change and the resilient society: utopia or realistic option for
   German regions?
SO NATURAL HAZARDS
LA English
DT Article
DE Resilience; Climate change; Regional adaptation strategies; Regional
   development; Bottom-up approach; Participation; Stakeholder networks
ID SOCIAL-ECOLOGICAL SYSTEMS; ADAPTIVE CAPACITY; VULNERABILITY;
   UNCERTAINTY; ADAPTATION
AB For the last five years, climate change has been increasingly perceived as a challenge for regional development. Compared to other nations, Germany is relatively 'safe', but the German regions are prone to different impacts of climate change; some of them might be positive but most will be negative in the long run. Strategic concepts are therefore needed to reduce the negative impacts and use the potential positive effects. Due to enforced research funding, several German regions are currently developing adaptation strategies within transdisciplinary research projects. Based on a comparative case study analysis of three of these projects, this paper looks for the benefits of resilience thinking in the context of climate change adaptation. The analysis shows that the case study regions try to increase their resilience to climate change by strengthening the properties of (1) resistance, (2) recovery and (3) creativity. But the discussion also reveals that only parts, certain sectors or subjects, of the region can increase their distinct resilience. Regional stakeholder networks as established within the case study regions can make a significant contribution to linking different sectors and levels of action. Therefore, this approach seems to be applicable for integrating the need for adaptation within the whole region. It is believed that the regionalized communication of potential climate change impacts raises awareness for climate change adaptation, helps to develop appropriate adaptation measures and encourages action. Hence, different approaches can indeed lead to more resilient structures. But the resilient society at regional level remains utopia.
C1 INFRASTRUKTUR & UMWELT Prof Bohm & Partner, Darmstadt, Germany.
RP Frommer, B (corresponding author), INFRASTRUKTUR & UMWELT Prof Bohm & Partner, Darmstadt, Germany.
EM birte.frommer@iu-info.de
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2006, 356 U DEL DIS RES CT
   [Anonymous], 2004, LIV RISK GLOB REV DI
   [Anonymous], 2008, 13 YAL SCH FOR ENV S
   [Anonymous], 2009, P 89 AM MET SOC ANN
   [Anonymous], 2007, UMWELTWIRTSCHAFTSFOR
   [Anonymous], 2005, WORKSH POL THEOR POL
   [Anonymous], 2006, SMART GROWTH CLIMATE
   [Anonymous], KLIMAWANDEL RESILIEN
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   ARL-Academy for Spatial Research and Planning, 2007, 73 ARL AC SPAT RES P
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   BIRKMANN J, 2009, DKKV PUBLIKATION SER, V38
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   COMFORT LK., 2001, Journal of contingencies and crisis management, V9, P144, DOI DOI 10.1111/1468-5973.00164
   Dalziell E., 2004, 1 INT FORUM ENG DECI
   DOVERS SR, 1992, GLOBAL ENVIRON CHANG, V2, P262, DOI 10.1016/0959-3780(92)90044-8
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Federal Government, 2008, GERM CLIM CHANG AD S
   FOLKE C, 2002, 20021 SWED ENV ADV C
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frommer B, 2010, THESIS TU DARMSTADT
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Handmer J., 1996, Organization Environment, V9, P482, DOI DOI 10.1177/108602669600900403
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Inderberg TH, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P433
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lofstedt Ragnar E., 2009, Risk Management in Post-Trust Societies
   Maguire B, 2007, AUST J EMERG MANAG, V22, P16
   O'Brien K, 2004, CLIMATIC CHANGE, V64, P193, DOI 10.1023/B:CLIM.0000024668.70143.80
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   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]
   Ruth M., 2006, REGIONAL CLIMATE CHA
   Schilling E.G., 2009, Acceptance sampling in quality control (2009), V2nd, P1
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 2007, NEW HORIZ ENVIRON EC, P1
   Stern N., 2006, Stern Review: The economics of climate change
   Timmerman Peter., 1981, Environmental Monograph, V1, DOI [10.1002/joc.3370010412, DOI 10.1002/JOC.3370010412]
   von Storch H, 2008, GKSS SCH ENVIRONM, P1
   Walker B, 2002, CONSERV ECOL, V6
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Weick K., 2007, Managing the unexpected: Assuring high performance in an age of complexity, V2nd
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI DOI 10.1016/S1464-2867(01)00021-3
NR 52
TC 10
Z9 11
U1 0
U2 25
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD MAY
PY 2013
VL 67
IS 1
BP 99
EP 115
DI 10.1007/s11069-012-0421-0
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 138DB
UT WOS:000318487700007
DA 2025-01-10
ER

PT J
AU Frommer, B
AF Frommer, Birte
TI Climate change and the resilient society: utopia or realistic option for
   German regions?
SO NATURAL HAZARDS
LA English
DT Article
DE Resilience; Climate change; Regional adaptation strategies; Regional
   development; Bottom-up approach; Participation; Stakeholder networks
ID SOCIAL-ECOLOGICAL SYSTEMS; ADAPTIVE CAPACITY; VULNERABILITY;
   UNCERTAINTY; ADAPTATION
AB For the last five years, climate change has been increasingly perceived as a challenge for regional development. Compared to other nations, Germany is relatively 'safe', but the German regions are prone to different impacts of climate change; some of them might be positive but most will be negative in the long run. Strategic concepts are therefore needed to reduce the negative impacts and use the potential positive effects. Due to enforced research funding, several German regions are currently developing adaptation strategies within transdisciplinary research projects. Based on a comparative case study analysis of three of these projects, this paper looks for the benefits of resilience thinking in the context of climate change adaptation. The analysis shows that the case study regions try to increase their resilience to climate change by strengthening the properties of (1) resistance, (2) recovery and (3) creativity. But the discussion also reveals that only parts, certain sectors or subjects, of the region can increase their distinct resilience. Regional stakeholder networks as established within the case study regions can make a significant contribution to linking different sectors and levels of action. Therefore, this approach seems to be applicable for integrating the need for adaptation within the whole region. It is believed that the regionalized communication of potential climate change impacts raises awareness for climate change adaptation, helps to develop appropriate adaptation measures and encourages action. Hence, different approaches can indeed lead to more resilient structures. But the resilient society at regional level remains utopia.
C1 [Frommer, Birte] INFRASTRUKTUR & UMWELT, Darmstadt, Germany.
RP Frommer, B (corresponding author), INFRASTRUKTUR & UMWELT, Darmstadt, Germany.
EM birte.frommer@iu-info.de
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2006, 356 U DEL DIS RES CT
   [Anonymous], 2004, LIV RISK GLOB REV DI
   [Anonymous], 20021 MIN ENV SWED E
   [Anonymous], 2008, 13 YAL SCH FOR ENV S
   [Anonymous], ENV MONOGRAPH U TORO
   [Anonymous], 2009, P 89 AM MET SOC ANN
   [Anonymous], 2007, UMWELTWIRTSCHAFTSFOR
   [Anonymous], 2005, WORKSH POL THEOR POL
   [Anonymous], 2006, SMART GROWTH CLIMATE
   [Anonymous], KLIMAWANDEL RESILIEN
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   *ARL, 2007, 73 ARL
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   BIRKMANN J, 2009, DKKV PUBLIKATION SER, V38
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   COMFORT LK., 2001, Journal of contingencies and crisis management, V9, P144, DOI DOI 10.1111/1468-5973.00164
   Dalziell E.P., 2004, Resilience, vulnerability, and adaptive capacity: implications for system performance
   DOVERS SR, 1992, GLOBAL ENVIRON CHANG, V2, P262, DOI 10.1016/0959-3780(92)90044-8
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Federal Government, 2008, GERM CLIM CHANG AD S
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   FROMMER B, 2010, THESIS TECHNISCHE U
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   HANDMER JW, 1996, IND ENV CRISIS Q, V9, P482, DOI DOI 10.1177/108602669600900403
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Inderberg TH, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P433
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lofstedt Ragnar E., 2009, Risk Management in Post-Trust Societies
   Maguire B, 2007, AUST J EMERG MANAG, V22, P16
   O'Brien K, 2004, CLIMATIC CHANGE, V64, P193, DOI 10.1023/B:CLIM.0000024668.70143.80
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   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]
   Ruth M., 2006, REGIONAL CLIMATE CHA
   Schipper L, 2009, TRANSP RES RECORD, P1, DOI 10.3141/2139-01
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 2007, NEW HORIZ ENVIRON EC, P1
   Stern N., 2006, Stern Review: The economics of climate change
   von Storch H, 2008, NAT GEOSCI, V1, P78, DOI 10.1038/ngeo111
   Walker B, 2002, CONSERV ECOL, V6
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Weick K., 2007, Managing the unexpected: Assuring high performance in an age of complexity, V2nd
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI DOI 10.1016/S1464-2867(01)00021-3
NR 52
TC 12
Z9 14
U1 0
U2 15
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 JUL
PY 2011
VL 58
IS 1
BP 85
EP 101
DI 10.1007/s11069-010-9644-0
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 778IC
UT WOS:000291696300006
DA 2025-01-10
ER

PT J
AU Klenk, NL
   Adams, BW
   Bull, GQ
   Innes, JL
   Cohen, SJ
   Larson, BC
AF Klenk, Nicole L.
   Adams, Bruce W.
   Bull, Gary Q.
   Innes, John L.
   Cohen, Stewart J.
   Larson, Bruce C.
TI Climate change adaptation and sustainable forest management: A proposed
   reflexive research agenda
SO FORESTRY CHRONICLE
LA English
DT Article
DE adaptation; forestry; reflexivity; knowledge production; governance;
   climate change; modelling
ID POLICY ANALYTICAL CAPACITY
AB This article is a synthesis of the salient topics discussed in the Climate Change Adaptation and Sustainable Forest Management (SFM) Workshop, held at the University of British Columbia, February 14-16, 2011, and lays out a research agenda based on the recommendations for future research that emerged in the workshop. The proposed research agenda is framed using the theory of reflexive modernization to enable the forest research community to consider how different modes of knowledge production can support adaptation within SFM. The workshop discussions highlighted the importance of considering extreme events and high uncertainty in planning for adaptation within SFM. Participants discussed the utility of climate change modeling and risk assessment for local decision-making. In addition, there was general agreement that adaptive collaborative management could facilitate adaptation within SFM, despite difficulties in implementation. The recommendations for future research that emerged from the workshop focused on climate change-related assessments, modeling techniques, and governance and institutional enablers/barriers to adaptation. This broad research agenda, however, can be approached using different modes of knowledge production, illustrating different orders of reflexivity. Apart from a call for more traditional academic research to improve SFM under climate change, workshop participants referred to the need for participatory research, in which researchers would be embedded in communities and other contexts of application, engaging in a "client-focused" partnership model to produce knowledge that is robust, compelling, legitimate and, above all, locally relevant. It is hoped that this alternative mode of knowledge production would result in a social license and greater political will to accelerate adaptation within SFM.
C1 [Klenk, Nicole L.; Bull, Gary Q.; Innes, John L.; Larson, Bruce C.] Univ British Columbia, Fac Forestry, Forest Sci Ctr, Vancouver, BC V6T 1Z4, Canada.
   [Cohen, Stewart J.] Univ British Columbia, AIRS, Environm Canada, Located Dept Forest Resources Management,Fac Fore, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia; University of British Columbia;
   Environment & Climate Change Canada
RP Klenk, NL (corresponding author), Univ British Columbia, Fac Forestry, Forest Sci Ctr, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM nklenk@forestry.ubc.ca
RI Klenk, Nicole/ABF-8239-2020; Innes, John/E-4355-2013
OI Innes, John/0000-0002-7076-1222; Klenk, Nicole Lisa/0000-0001-8224-6992
FU Faculty of Forestry at the University of British Columbia; Adaptation
   and Impacts Research Section at Environment Canada
FX Thank you to James Ian MacLellan for providing comments on an earlier
   version of this manuscript. Thanks also to the participants of the
   workshop, and the Faculty of Forestry at the University of British
   Columbia and the Adaptation and Impacts Research Section at Environment
   Canada for their financial and in kind support.
CR Aaheim A, 2011, MITIG ADAPT STRAT GL, V16, P247, DOI 10.1007/s11027-010-9254-x
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Beck U, 2003, THEOR CULT SOC, V20, P1, DOI 10.1177/0263276403020002001
   Beck U, 1992, RISK SOC NEW MODERNI
   Bernier P., 2009, Unasylva (English ed.), V60, P5
   Bevir M, 2010, DEMOCRATIC GOVERNANCE, P1
   BROWN HCP, 2009, MITIGATION ADAPTATIO, V14, P514
   Gibbons M., 1994, The New Production of Knowledge
   Hendriks C.M., 2007, J. Environ. Pol. Plann., V9, P333, DOI DOI 10.1080/15239080701622790
   Howlett M, 2011, GLOBAL ENVIRON CHANG, V21, P85, DOI 10.1016/j.gloenvcha.2010.10.002
   Howlett M, 2009, CAN PUBLIC ADMIN, V52, P153, DOI 10.1111/j.1754-7121.2009.00070_1.x
   INNES J, 2009, IUFRO WORLD SERIES, V22
   Johnston M., 2010, CLIMATE CHANGE FORES, P54
   Johnston M, 2007, FOREST CHRON, V83, P358, DOI 10.5558/tfc83358-3
   JORDAN A, 1995, 9520 GEC CTR SOC EC
   Klenk NL, 2011, FOREST POLICY ECON, V13, P37, DOI 10.1016/j.forpol.2010.08.005
   KLENK NL, 2009, SPECIALIZATION COLLA
   MACLELLAN JI, 2007, LINKING CLIMATE IMPA
   Nowotny H., 2003, Science and Public Policy, V30, P151, DOI DOI 10.3152/147154303781780461
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Scott D, 2007, FOREST CHRON, V83, P347, DOI 10.5558/tfc83347-3
   Scott James, 1998, Seeing Like A State-How Certain Schemes to Improve the Human Condition Have Failed
   Spittlehouse DL, 2005, FOREST CHRON, V81, P691, DOI 10.5558/tfc81691-5
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Voss JP, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P3
   Wellstead A. M., 2006, BC Journal of Ecosystems and Management, V7, P1
   Wellstead AM, 2007, CLIM POLICY, V7, P29, DOI 10.1080/14693062.2007.9685636
   Williamson T.B., 2009, CLIMATE CHANGE CANAD
   ,, 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 31
TC 21
Z9 21
U1 0
U2 49
PU CANADIAN INST FORESTRY
PI MATTAWA
PA C/O CANADIAN ECOLOGY CENTRE, PO BOX 430, 6905 HWY 17 W, MATTAWA, ONTARIO
   P0H 1V0, CANADA
SN 0015-7546
EI 1499-9315
J9 FOREST CHRON
JI For. Chron.
PD MAY-JUN
PY 2011
VL 87
IS 3
BP 351
EP 357
DI 10.5558/tfc2011-025
PG 7
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Forestry
GA 783ZK
UT WOS:000292123200014
OA Bronze
DA 2025-01-10
ER

PT J
AU Granco, G
   He, H
   Lentz, B
   Voong, J
   Reeve, A
   Vega, E
AF Granco, Gabriel
   He, Haoji
   Lentz, Brandon
   Voong, Jully
   Reeve, Alan
   Vega, Exal
TI Mid- and End-of-the-Century Estimation of Agricultural Suitability of
   California's Specialty Crops
SO LAND
LA English
DT Article
DE climate change; agriculture; specialty crops; California; MaxEnt;
   species distribution model; almonds; citrus; pistachios; walnuts
ID CLIMATE-CHANGE; THERMAL NICHE; IMPACTS; TEMPERATURE; ALMOND
AB Specialty crops with long economic life cycles have lower adaptability and flexibility to climate change, making long-term planning crucial. This study examines the impact of climate change on almond, citrus, pistachio, and walnut production in California, using a machine learning approach to estimate crop suitability under current and future environmental conditions. We used recent satellite-observed cropland data to generate an occurrence dataset for these crops. Ecological data including bioclimatic variables derived from global circulation models developed under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and surface variables were used to model suitability. The bioclimatic variables relating to temperature and precipitation had the largest effect on each crop's suitability estimation. The results indicate that suitable areas for almonds, citrus, and walnuts will change significantly within 20 years due to climatic change, and the change will be even greater by the end of the century, indicating a potential loss of 94% of the current suitable area. The results for pistachios indicate change in the spatial distribution of suitable area but the total area is predicted to remain near the current suitable area. Policymakers, researchers, and farmers must work together to develop proactive adaptation strategies to mitigate the negative effects of climate change on specialty crop production. The application of a species distribution model for agriculture suitability provides critical information for future work on adaptation to climate change, identifying areas to target for further analysis.
C1 [Granco, Gabriel; He, Haoji; Lentz, Brandon; Voong, Jully; Reeve, Alan; Vega, Exal] Calif State Polytech Univ Pomona, Dept Geog & Anthropol, Pomona, CA 91768 USA.
C3 California State University System; California State Polytechnic
   University Pomona
RP Granco, G (corresponding author), Calif State Polytech Univ Pomona, Dept Geog & Anthropol, Pomona, CA 91768 USA.
EM ggranco@cpp.edu
RI Granco, Gabriel/L-7817-2019
OI Granco, Gabriel/0000-0003-4348-6349; Lentz, Cherry/0009-0009-8074-3309
FU We acknowledge the comments of reviewers and editors. We also
   acknowledge the support of Dylan Russell, Dani Savinon, Susana Rosales,
   Bianca Misa, Esteban Cisneros, and Jinka Kawasaki.
FX We acknowledge the comments of reviewers and editors. We also
   acknowledge the support of Dylan Russell, Dani Savinon, Susana Rosales,
   Bianca Misa, Esteban Cisneros, and Jinka Kawasaki.
CR Ahmadi H, 2019, CLIMATIC CHANGE, V153, P91, DOI 10.1007/s10584-018-2316-x
   Akpoti K, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136165
   Akpoti K, 2019, AGR SYST, V173, P172, DOI 10.1016/j.agsy.2019.02.013
   [Anonymous], 2018, California Agricultural Statistics Review, 2017-2018
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Bakhtavoryan R, 2022, AGRIC RESOUR ECON RE, V51, P283, DOI 10.1017/age.2022.11
   Barney JN, 2010, BIOMASS BIOENERG, V34, P124, DOI 10.1016/j.biombioe.2009.10.009
   Brown JL, 2017, PEERJ, V5, DOI 10.7717/peerj.4095
   Cabot MI, 2022, SUSTAIN PROD CONSUMP, V33, P567, DOI 10.1016/j.spc.2022.07.024
   Caetano JM, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191273
   California Department of Food and Agriculture, 2021, CALIF AGR PROD STAT
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Dewitz Jon, 2021, USGS
   Elias E., 2015, Southwest Regional Climate Hub and California Subsidiary Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies, P1
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Faleiro FV, 2015, NAT CONSERVACAO, V13, P24, DOI 10.1016/j.ncon.2015.04.004
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fitzgibbon A, 2022, LAND-BASEL, V11, DOI 10.3390/land11091382
   Fulton J, 2019, ECOL INDIC, V96, P711, DOI 10.1016/j.ecolind.2017.12.063
   Gomes LC, 2020, AGR ECOSYST ENVIRON, V294, DOI 10.1016/j.agee.2020.106858
   Granco G, 2019, RESOUR CONSERV RECY, V144, P158, DOI 10.1016/j.resconrec.2019.01.033
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   He KS, 2015, REMOTE SENS ECOL CON, V1, P4, DOI 10.1002/rse2.7
   Hirabayashi K, 2022, SCI TOTAL ENVIRON, V845, DOI 10.1016/j.scitotenv.2022.157341
   Hong CP, 2020, NAT FOOD, V1, DOI 10.1038/s43016-020-0043-8
   Kerr A, 2018, CLIMATIC CHANGE, V148, P419, DOI 10.1007/s10584-017-2011-3
   Lobell DB, 2007, CLIMATIC CHANGE, V81, P187, DOI 10.1007/s10584-006-9141-3
   Lobell DB, 2011, CLIMATIC CHANGE, V109, P317, DOI 10.1007/s10584-011-0303-6
   Luedeling E, 2012, AGR FOREST METEOROL, V158, P43, DOI 10.1016/j.agrformet.2011.10.020
   Luedeling E, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006166
   Moon M, 2021, REMOTE SENS ENVIRON, V266, DOI 10.1016/j.rse.2021.112716
   Parker L, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143971
   Parker LE, 2020, PLANT SCI, V295, DOI 10.1016/j.plantsci.2019.110397
   Parker LE, 2019, CLIMATE, V7, DOI 10.3390/cli7080094
   Parker LE, 2018, CLIMATIC CHANGE, V147, P211, DOI 10.1007/s10584-017-2118-6
   Parker LE, 2017, INT J BIOMETEOROL, V61, P1593, DOI 10.1007/s00484-017-1338-9
   Pathak TB, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8030025
   Paz-Dyderska S, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-020-01745-z
   Peter BG, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-72384-x
   Reisman E, 2019, GEOFORUM, V104, P137, DOI 10.1016/j.geoforum.2019.04.021
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Santos JA, 2017, CLIMATIC CHANGE, V140, P273, DOI 10.1007/s10584-016-1835-6
   Schauer M, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11151782
   Sharma R, 2018, COMPUT ELECTRON AGR, V155, P103, DOI 10.1016/j.compag.2018.10.001
   Silva DP, 2016, ORG DIVERS EVOL, V16, P259, DOI 10.1007/s13127-015-0250-6
   United States Department of Agriculture-National Agricultural Statistics Service Cropland Data Layer (USDA-NASS CDL), 2022, USDA National Agricultural Statistics Service Cropland Data Layer. Publ. Crop-Specif. Data Layer
   Varela S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091763
   Wilson TS, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054018
   Zeng YW, 2016, ECOL MODEL, V341, P5, DOI 10.1016/j.ecolmodel.2016.09.019
   Zhang CL, 2021, PRECIS AGRIC, V22, P2007, DOI 10.1007/s11119-021-09813-y
   Zhang N, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148025
NR 51
TC 0
Z9 0
U1 2
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD OCT
PY 2023
VL 12
IS 10
AR 1907
DI 10.3390/land12101907
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA W1RK8
UT WOS:001089473700001
OA gold
DA 2025-01-10
ER

PT J
AU Ojo, TO
   Kassem, HS
   Ismail, H
   Adebayo, DS
AF Ojo, T. O.
   Kassem, H. S.
   Ismail, H.
   Adebayo, D. S.
TI Level of adoption of climate smart agriculture among smallholder rice
   farmers in Osun State: does financing matter?
SO SCIENTIFIC AFRICAN
LA English
DT Article
DE Climate change; Climate financing; CSA adoption; Poisson regression
   model
ID VARIABILITY; ADAPTATION; DETERMINANTS; TECHNOLOGY; IMPACT; PERCEPTIONS;
   HOUSEHOLDS
AB Application of climate smart agriculture (CSA) technologies being context-specific is premised on integrating agroclimatic and socioeconomic conditions, institutional structures, and most importantly, financing mechanisms vis-`a-vis the adoption capacities of the farmers. This study examined financing adoption intensity of CSA technologies among sampled smallholder rice farmers in Osun State, Nigeria. The results of this study point to the fact that gender of household head, marital status, access to climate information, access to off-farm income, access to cooperative and access to credit were the determinants of level of adoption of CSA technology amongst the smallholder rice farmers in the study area. In view of the nexus between CSA adoption level and access to credit as revealed in this study, increasing awareness about how the credit market works and information on the provision of climate change can help farmers to better adapt to climate change. This significant impact of the credit accessibility on level of CSA adoption confirms the critical role that credit availability has in climate financing. Thus, agricultural policies to improve institutional support, such as involvement in farm-based cooperative, credit facility, and off-farm income activities, are crucial to upscale CSA adoption in the study area. The income from non-farm activities can be reinvested into farm operations to improve farmers' adaptive capacity and subsequently increase productivity. It could also be recommended that policies enhancing and strengthening institutional support may also be valuable in augmenting the adaptation strategies of smallholder farmers.
C1 [Ojo, T. O.] Obafemi Awolowo Univ, Dept Agr Engn, Ife, Nigeria.
   [Ojo, T. O.] Univ Free State, Disaster Management Training & Educ Ctr Africa, POB 339, ZA-9300 Bloemfontein, South Africa.
   [Kassem, H. S.] King Saud Univ, Coll Food & Agr Sci, Dept Agr Extens & Rural Soc, Riyadh 11451, Saudi Arabia.
   [Ismail, H.] Univ Guelph, Ontario Agr Coll, Dept Food Sci, Guelph, ON N1G 2W1, Canada.
   [Adebayo, D. S.] Louisiana State Univ, Dept Agr Econ & Agribusiness, Baton Rouge, LA USA.
C3 Obafemi Awolowo University; University of the Free State; King Saud
   University; University of Guelph; Louisiana State University System;
   Louisiana State University
RP Ojo, TO (corresponding author), Obafemi Awolowo Univ, Dept Agr Engn, Ife, Nigeria.; Ojo, TO (corresponding author), Univ Free State, Disaster Management Training & Educ Ctr Africa, POB 339, ZA-9300 Bloemfontein, South Africa.
EM ojotemitope70@yahoo.com
RI Kassem, Hazem/AAG-9089-2020; Adebayo, David/AGT-0622-2022; Ojo,
   Temitope/AAV-8577-2021
OI Ojo, Temitope/0000-0002-3517-0435; Adebayo, Damilola/0009-0008-2630-1414
FU King Saud University, Riyadh, Saudi Arabia [RSP2023R403]
FX The authors would like to thank Researchers Supporting Project Number
   (RSP2023R403) , King Saud University, Riyadh, Saudi Arabia.
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Adeagbo OA, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06231
   ADESINA AA, 1995, AGR ECON, V13, P1, DOI 10.1016/0169-5150(95)01142-8
   Ajayi M.T., 2018, Forum Agricult. Res. Afr. (FARA)
   Amadou M., 2015, Ghana Journal of Geography, V7, P47
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Cameron AC., 2013, REGRESSION ANAL COUN, Vvol. 53
   Channa H, 2019, FOOD POLICY, V85, P64, DOI 10.1016/j.foodpol.2019.03.005
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Fusco G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125168
   Girei A. A., 2018, Agrosearch, V18, P90, DOI 10.4314/agrosh.v18i1.8
   Greene W, 2008, ECON LETT, V99, P585, DOI 10.1016/j.econlet.2007.10.015
   Holden NM, 2003, AGR FOREST METEOROL, V116, P181, DOI 10.1016/S0168-1923(03)00002-9
   Hunter-Adams J, 2019, APPETITE, V137, P244, DOI 10.1016/j.appet.2019.03.012
   Hussain M, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-7956-4
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Khanal U, 2019, ENVIRON SCI POLICY, V101, P156, DOI 10.1016/j.envsci.2019.08.006
   Kibue GW, 2016, ENVIRON MANAGE, V57, P976, DOI 10.1007/s00267-016-0661-y
   Kifle T, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100290
   Kirui O.K., 2010, Awareness and use of m-banking services in agriculture: the case of smallholder farmers in Kenya
   Madu IA, 2021, GEOJOURNAL, V86, P2691, DOI 10.1007/s10708-020-10223-2
   Mango N, 2018, LAND-BASEL, V7, DOI 10.3390/land7020049
   Mthethwa KN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142416926
   Mugi-Ngenga EW, 2016, J RURAL STUD, V43, P49, DOI 10.1016/j.jrurstud.2015.11.004
   Mulaudzi V S., 2015, Environmental Economics, V6, P104
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndiritu SW, 2014, FOOD POLICY, V49, P117, DOI 10.1016/j.foodpol.2014.06.010
   Ndlovu PN, 2022, SCI AFR, V16, DOI 10.1016/j.sciaf.2022.e01168
   Ndlovu PN, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105611
   Ojo TO, 2022, LAND-BASEL, V11, DOI 10.3390/land11111875
   Oluwatayo I.B., 2016, The Journal of Developing Areas, V50, P97, DOI DOI 10.1353/JDA.2016.0078
   Omodara Olabisi Damilola, 2021, Agriculturae Conspectus Scientificus, V86, P361
   Partey ST, 2018, J CLEAN PROD, V187, P285, DOI 10.1016/j.jclepro.2018.03.199
   Shahzad MF, 2021, APPL ECON, V53, P1013, DOI 10.1080/00036846.2020.1820445
   Shiferaw B, 2001, ENVIRON DEV ECON, V6, P335, DOI 10.1017/S1355770X01000195
   Siegfried S, 2020, METHODS ECOL EVOL, V11, P818, DOI 10.1111/2041-210X.13383
   Tanti P C., 2022, Environmental Challenges, V7, P100498, DOI DOI 10.1016/J.ENVC.2022.100498
   Tazeze A., 2012, Journal of Economics and Sustainable Development, V3, P1
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Thinda KT, 2021, J ASIAN AFR STUD, V56, P610, DOI 10.1177/0021909620934836
   Ubisi N.R., 2017, Change Adapt. Socio-Ecol. Syst, V3, P27, DOI [10.1515/cass-2017-0003, DOI 10.1515/CASS-2017-0003]
   Venkataramanan V, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1477
   Wooldridge JeffreyMarc., 2002, Portuguese Economic Journal, V1, P117, DOI [10.1007/s10258-002-0008-x, DOI 10.1007/S10258-002-0008-X]
   World Bank, 2001, World Development 2000/2001: Attacking Poverty
   Zeng YM, 2019, ENVIRON SCI POLLUT R, V26, P12522, DOI 10.1007/s11356-019-04609-0
NR 46
TC 8
Z9 8
U1 1
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2468-2276
J9 SCI AFR
JI Sci. Afr.
PD SEP
PY 2023
VL 21
AR e01859
DI 10.1016/j.sciaf.2023.e01859
EA SEP 2023
PG 8
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA T0WW0
UT WOS:001075288400001
OA gold
DA 2025-01-10
ER

PT J
AU Wang, YY
   Liu, SN
   Shi, HY
AF Wang, Yuying
   Liu, Suning
   Shi, Haiyun
TI Comparison of climate change impacts on the growth of C3 and C4 crops in
   China
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE WOFOST model; Climate change; C3 and C4 crops; CO 2 concentration; China
ID WINTER-WHEAT; YIELD; PHOTOSYNTHESIS; REQUIREMENTS; RESPONSES; MODEL
AB Global agricultural production has been significantly affected by climate change. As a large but also weak agricultural country, China must take corresponding adaptation measures in regard to climate change. As C3 and C4 crops have different carbon sequestration pathways, the responses of their growth to climate change are different. This study comprehensively compared the impacts of climate change on the growth of C3 and C4 crops in China by considering several key variables, such as solar radiation, temperature, precipitation, CO2 concen-tration, and agro-climatic constraints. The WOFOST (WOrld FOod STudies) model was used to quantitatively simulate and analyze the impacts of these variables on crop yield under four different scenarios. The results show that 1) during the growth period, solar radiation had the most significant change, followed by temperature difference between day and night, daily minimum temperature, daily maximum temperature, and precipitation; 2) the growth indicators of both C3 and C4 crops were more strongly correlated with solar radiation and tem-perature; and 3) under the four scenarios, changes in temperature and solar radiation had negative effects on both C3 and C4 crops in most regions, and changes in CO2 concentration had greater impacts on crop yields than other factors. This study revealed the temporal and spatial patterns of crop growth indicators under different climate change scenarios in the past 30 years, which provides a scientific basis for exploring how to adapt to climate change and provide higher levels of crop productivity in China.
C1 [Wang, Yuying; Shi, Haiyun] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen, Guangdong, Peoples R China.
   [Liu, Suning] Inst Basic Sci, Ctr Climate Phys, Pusan, South Korea.
C3 Southern University of Science & Technology; Institute for Basic Science
   - Korea (IBS)
RP Shi, HY (corresponding author), Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen, Guangdong, Peoples R China.
EM shihy@sustech.edu.cn
RI SHI, Haiyun/B-2744-2014
FU Shenzhen Key Laboratory of Precision Measurement and Early Warning
   Technology for Urban Environmental Health Risks, Natural Science
   Foundation of Shenzhen [JCYJ20210324105014039]; Guangdong Provincial Key
   Laboratory of Soil and Groundwater Pollution Control [2017B030301012];
   State Environmental Protection Key Laboratory of Integrated Surface
   Water-Groundwater Pollution Control
FX This study was supported by Shenzhen Key Laboratory of Precision
   Measurement and Early Warning Technology for Urban Environmental Health
   Risks, Natural Science Foundation of Shenzhen (JCYJ20210324105014039) ,
   Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution
   Control (2017B030301012) , and State Environmental Protection Key
   Laboratory of Integrated Surface Water-Groundwater Pollution Control.
CR AbdElgawad H, 2021, J HAZARD MATER, V414, DOI 10.1016/j.jhazmat.2021.125331
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Anapalli SS, 2019, SCI TOTAL ENVIRON, V663, P338, DOI 10.1016/j.scitotenv.2018.12.471
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   Bian JL, 2018, J INTEGR AGR, V17, P2624, DOI 10.1016/S2095-3119(18)62141-0
   Boogaard HL, 1998, NUTR CYCL AGROECOSYS, V50, P321, DOI 10.1023/A:1009773202654
   Ceglar A, 2019, AGR SYST, V168, P168, DOI 10.1016/j.agsy.2018.05.002
   Chandio AA, 2020, ENVIRON SCI POLLUT R, V27, P11944, DOI 10.1007/s11356-020-07739-y
   Chen SuYing Chen SuYing, 2009, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V17, P681, DOI 10.3724/SP.J.1011.2009.00681
   Chen XG, 2019, WEATHER CLIM SOC, V11, P777, DOI 10.1175/WCAS-D-19-0026.1
   China's Comprehensive Agricultural Division, 1981, COMPREHENSIVE AGR DI
   Crane-Droesch A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae159
   Cui HC, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.715391
   de Wit A, 2019, AGR SYST, V168, P154, DOI 10.1016/j.agsy.2018.06.018
   Gao JQ, 2019, AGR FOREST METEOROL, V268, P146, DOI 10.1016/j.agrformet.2019.01.009
   Gao YK, 2022, AGR WATER MANAGE, V270, DOI 10.1016/j.agwat.2022.107714
   Gatimbu KK, 2020, ENVIRON DEV SUSTAIN, V22, P3333, DOI 10.1007/s10668-019-00348-x
   Gilardelli C, 2018, ECOL MODEL, V368, P1, DOI 10.1016/j.ecolmodel.2017.11.003
   He D, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abc71a
   Hou Weiye, 2021, GCdataPR, DOI 10.3974/geodb.2021.11.01.V1
   Huang CF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249241
   Huang NE, 1998, P ROY SOC A-MATH PHY, V454, P903, DOI 10.1098/rspa.1998.0193
   HUDGINS L, 1993, PHYS REV LETT, V71, P3279, DOI 10.1103/PhysRevLett.71.3279
   Iizumi T, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0433-7
   Jiang ZP, 2021, HYDROLOG SCI J, V66, P1552, DOI 10.1080/02626667.2021.1957105
   Keerberg O, 2014, J EXP BOT, V65, P3649, DOI 10.1093/jxb/eru239
   Kern A, 2018, AGR FOREST METEOROL, V260, P300, DOI 10.1016/j.agrformet.2018.06.009
   Kong XiangNa Kong XiangNa, 2019, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V27, P994
   Langdale JA, 2011, PLANT CELL, V23, P3879, DOI 10.1105/tpc.111.092098
   Leung F, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7246
   Li N, 2020, FIELD CROP RES, V247, DOI 10.1016/j.fcr.2019.107590
   Li P, 2020, APPL ECOL ENV RES, V18, P3251, DOI 10.15666/aeer/1802_32513275
   Li X, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac4b1
   Liu F, 2022, SCI BULL, V67, P328, DOI 10.1016/j.scib.2021.10.013
   Liu Hang, 2021, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V29, P1417, DOI 10.13930/j.cnki.cjea.201009
   Liu Y, 2015, OUTLOOK AGR, V44, P243, DOI 10.5367/oa.2015.0213
   Liu YJ, 2021, J SCI FOOD AGR, V101, P3644, DOI 10.1002/jsfa.10993
   Lobell DB, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa518a
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Ma GN, 2013, MATH COMPUT MODEL, V58, P634, DOI 10.1016/j.mcm.2011.10.038
   Makowski D, 2015, AGR FOREST METEOROL, V214, P483, DOI 10.1016/j.agrformet.2015.09.013
   Makowski D., 2020, QUANTITATIVE SYNTHES, P115
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Prokoph A, 2008, MATH GEOSCI, V40, P575, DOI 10.1007/s11004-008-9170-8
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Roberts MJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7f33
   Saadi S, 2015, AGR WATER MANAGE, V147, P103, DOI 10.1016/j.agwat.2014.05.008
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shayanmehr S, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17145264
   Shi HY, 2017, J HYDROL, V548, P322, DOI 10.1016/j.jhydrol.2017.03.017
   Shi J., 2016, Conceptual Model Report: Minor Aquifers in Llano Uplift Region of Texas, P1, DOI DOI 10.11922/CSDATA.170.2015.0033
   Shi WJ, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141147
   Singer S., 1999, P 7 INT C OPERATIONA
   Srinivasarao C, 2016, AGR ECOSYST ENVIRON, V218, P73, DOI 10.1016/j.agee.2015.11.016
   Wang GY, 2021, J PROTEOMICS, V245, DOI 10.1016/j.jprot.2021.104292
   Wang HS, 2016, FRONT EARTH SCI-PRC, V10, P292, DOI 10.1007/s11707-016-0552-9
   Wu J., 2021, J INTEGR AGR, V20
   Wu JZ, 2021, J INTEGR AGR, V20, P289, DOI 10.1016/S2095-3119(20)63244-0
   Xiao DP, 2020, AGR WATER MANAGE, V238, DOI 10.1016/j.agwat.2020.106238
   Xu R, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac3cee
   Yahaya MA, 2022, J AGRON CROP SCI, V208, P127, DOI 10.1111/jac.12573
   Yuan LD, 2020, MEDICINE, V99, DOI 10.1097/MD.0000000000021550
   Zhang YJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107588
   Zhao C, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2016.202
   Zhou ZQ, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033959
   Zhuo L, 2016, ENVIRON INT, V94, P211, DOI 10.1016/j.envint.2016.05.019
NR 69
TC 11
Z9 11
U1 14
U2 81
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD MAY
PY 2023
VL 74
AR 101968
DI 10.1016/j.ecoinf.2022.101968
EA JAN 2023
PG 18
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 8E3TA
UT WOS:000918898800001
DA 2025-01-10
ER

PT J
AU Ma, ZY
   Zhao, ZJ
   Liu, CY
   Yang, F
   Wang, M
AF Ma Zhiyuan
   Zhao Zijian
   Liu Changyi
   Yang Fang
   Wang Mou
TI The Impacts and Adaptation of Climate Extremes on the Power System:
   Insights from the Texas Power Outage Caused by Extreme Cold Wave
SO CHINESE JOURNAL OF URBAN AND ENVIRONMENTAL STUDIES
LA English
DT Article
DE Weather and climate extremes; climate change; power system; mitigation;
   adaptation
AB Along with the aggravation of climate change, various weather and climate extreme events (abbreviated as climate extremes) are becoming more frequent. During the transition to the use of clean energy, the power system will show increasingly prominent features such as high ratio of clean energy, high ratio of electrification, and a high proportion of electric and electronic equipment, coupled with summer and winter load peaks. Against this backdrop, this paper studies the impacts of climate extremes on the power system using the Texas power outage as an example, and proposes general adaptation measures to cope with climate extremes. For a start, this paper reviews the power outage in Texas caused by an extreme cold wave across the North America in 2021, and conducts an in-depth analysis of its causes. Then, based on the theoretical framework of disaster risk management. this paper analyzes the weather and climate disaster risks, extreme events, exposure, and vulnerability faced by the power system in the context of climate change and extreme events. Finally, in order to build a new power system. this paper establishes an overall framework for the power system to mitigate and adapt to climate change, and summarizes the key techniques involved in power generation, transmission, distribution, and consumption, as well as key technologies in the fields of power supply, power grid, power load, and energy storage, and the strategies and measures for addressing climate change.
C1 [Ma Zhiyuan; Zhao Zijian; Liu Changyi; Yang Fang] Global Energy Interconnect Dev & Cooperat Org GEI, 8 Xuanwumennei St, Beijing 100031, Peoples R China.
   [Wang Mou] Chinese Acad Social Sci, Res Ctr Sustainable Dev, 27 Wangfujing St, Beijing 100010, Peoples R China.
   [Wang Mou] Chinese Acad Social Sci, Res Inst Ecocivilizat, 27 Wangfujing St, Beijing 100010, Peoples R China.
   [Wang Mou] Univ Chinese Acad Social Sci, 11 Changyu St, Beijing 102488, Peoples R China.
C3 Chinese Academy of Social Sciences; Chinese Academy of Social Sciences;
   Chinese Academy of Social Sciences; University of Chinese Academy of
   Social Sciences
RP Yang, F (corresponding author), Global Energy Interconnect Dev & Cooperat Org GEI, 8 Xuanwumennei St, Beijing 100031, Peoples R China.
EM zhiyuan-ma@geidco.org; zijian-zhao@geidco.org; changyi-liu@geidco.org;
   fang-yang1@geidco.org; wangnwu@vip.163.com
RI Ma, ZhiYuan/GWN-1061-2022; Zhao, Zijian/AGD-3257-2022
FU Study on Greenhouse Gas Emissions and Emission Reduction in the Energy
   Production Sector [GEIDCO-E[2020]-044]; National Natural Science
   Foundation of China [42175171]
FX This paper is funded by the "Study on Greenhouse Gas Emissions and
   Emission Reduction in the Energy Production Sector" (GEIDCO-E[2020]-044)
   and by the National Natural Science Foundation of China (No. 42175171).
CR [Anonymous], 2012, GLOSSARY METEOROLOGY
   [Anonymous], Energy Technology Perspectives 2008-Analysis-IEA
   [Anonymous], 2007, SYNTHESIS REPORT CON
   Cohen J, 2020, NAT CLIM CHANGE, V10, P20, DOI 10.1038/s41558-019-0662-y
   Cohen J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-02992-9
   Cong R.G., 2013, J XIHUA U NAT SCI, V32, P105
   CPC Central Committee State Council., 2021, OPPORTUNITIES CHALLE
   Diffenbaugh NS, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay2368
   Gerland S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab09b3
   Global CCS Institute, 2019, Global Status of CCS 2019-Targeting Climate Change
   Huang Shisong, 1995, SCI METEOROL SIN, V15, P46
   IEA, 2020, COAL CAP TYP SUST DE
   IEA, 2019, World Energy Outlook 2019
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IRENA, 2019, RENEWABLE POWER GENE
   IRENA, 2020, 10 YEARS PROGR ACT
   Jia Shanjie, 2017, 2017 SEMINAR DEV APP
   Kang Chongqing., 2019, THEORETICAL RES APPL
   [梁涵卿 Liang Hanqing], 2013, [高电压技术, High Voltage Engineering], V39, P630
   Liang Xu-ming, 2009, Power System Technology, V33, P79
   Liu JP, 2012, P NATL ACAD SCI USA, V109, P4074, DOI 10.1073/pnas.1114910109
   Lu G., 2020, MECH ELECT ENG TECHN, V49, P30
   [罗亚丽 Luo Yali], 2012, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V8, P90
   Meier WN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf52c
   Natl Acad Sci Engn Med, 2016, ATTRIBUTION OF EXTREME WEATHER EVENTS IN THE CONTEXT OF CLIMATE CHANGE, P1, DOI 10.17226/21852
   Qin D.H, 2015, NATL ASSESSMENT REPO
   Qu Gaoqiang, 2018, CHANGJIANG INFORM CO, V2018, P272
   Rogelj J., 2018, IPCC SPECIAL REPORT, DOI [DOI 10.1017/9781009157940.004, 10.1017/9781009157940, DOI 10.1017/9781009157940]
   Smith DM, 2020, NATURE, V583, P796, DOI 10.1038/s41586-020-2525-0
   UNDRR, 2009, TERM DIS RISK RED
   Wang Haohao, 2010, Automation of Electric Power Systems, V34, P5
   Wang Yaohui, 2016, MECH ENG AUTOMATION, V2016, P107
   Weather Forecast Office Fort Worth Texas, 2022, FEBR 2021 HIST WINT
   World Coal Association (WCA), 2016, POW HIGH EFF COAL
   [武丰民 Wu Fengmin], 2014, [地球科学进展, Advance in Earth Sciences], V29, P913
   [肖莺 Xiao Ying], 2018, [极地研究, Chinese Journal of Polar Research], V30, P14
   Zahn M, 2010, NATURE, V467, P309, DOI 10.1038/nature09388
   赵宗慈, 2014, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V10, P388
NR 38
TC 4
Z9 4
U1 5
U2 26
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2345-7481
EI 2345-752X
J9 CHIN J URBAN ENV STU
JI Chin. J. Urban Env. Stud.
PD MAR
PY 2022
VL 10
IS 01
AR 2250004
DI 10.1142/S234574812250004X
PG 16
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA 3X1OC
UT WOS:000842812200001
OA gold
DA 2025-01-10
ER

PT J
AU Laible, G
   Cole, SA
   Brophy, B
   Wei, J
   Leath, S
   Jivanji, S
   Littlejohn, MD
   Wells, DN
AF Laible, G.
   Cole, S-A
   Brophy, B.
   Wei, J.
   Leath, S.
   Jivanji, S.
   Littlejohn, M. D.
   Wells, D. N.
TI Holstein Friesian dairy cattle edited for diluted coat color as a
   potential adaptation to climate change
SO BMC GENOMICS
LA English
DT Article
DE Cas9; Genome editing; Homology-directed repair; PMEL; P; Leu18del; Coat
   color; Cattle; Somatic cell nuclear transfer; White spotting; Signal
   peptide
ID TRANSGENIC CATTLE; NUCLEAR TRANSFER; GENOME; INSERTION; LIVESTOCK;
   EXTREMES; MUTATION; CLONING; CASEIN; COWS
AB Background High-producing Holstein Friesian dairy cattle have a characteristic black and white coat, often with large proportions of black. Compared to a light coat color, black absorbs more solar radiation which is a contributing factor to heat stress in cattle. To better adapt dairy cattle to rapidly warming climates, we aimed to lighten their coat color by genome editing. Results Using gRNA/Cas9-mediated editing, we introduced a three bp deletion in the pre-melanosomal protein 17 gene (PMEL) proposed as causative variant for the semi-dominant color dilution phenotype observed in Galloway and Highland cattle. Calves generated from cells with homozygous edits revealed a strong color dilution effect. Instead of the characteristic black and white markings of control calves generated from unedited cells, the edited calves displayed a novel grey and white coat pattern. Conclusion This, for the first time, verified the causative nature of the PMEL mutation for diluting the black coat color in cattle. Although only one of the calves was healthy at birth and later succumbed to a naval infection, the study showed the feasibility of generating such edited animals with the possibility to dissect the effects of the introgressed edit and other interfering allelic variants that might exist in individual cattle and accurately determine the impact of only the three bp change.
C1 [Laible, G.; Cole, S-A; Brophy, B.; Wei, J.; Leath, S.; Wells, D. N.] Ruakura Res Ctr, AgRes, Hamilton 3240, New Zealand.
   [Laible, G.] Univ Auckland, Sch Med Sci, Auckland, New Zealand.
   [Laible, G.] Maurice Wilkins Ctr Mol Biodiscovery, Auckland, New Zealand.
   [Jivanji, S.; Littlejohn, M. D.] Massey Univ Manawatu, Palmerston North, New Zealand.
   [Littlejohn, M. D.] Livestock Improvement Corp, Hamilton, New Zealand.
C3 AgResearch - New Zealand; University of Auckland; University of
   Auckland; Massey University; Livestock Improvement Corporation
RP Laible, G (corresponding author), Ruakura Res Ctr, AgRes, Hamilton 3240, New Zealand.; Laible, G (corresponding author), Univ Auckland, Sch Med Sci, Auckland, New Zealand.; Laible, G (corresponding author), Maurice Wilkins Ctr Mol Biodiscovery, Auckland, New Zealand.
EM goetz.laible@agresearch.co.nz
RI jivanji, swati/HLW-7602-2023
OI Wells, David/0000-0002-8729-4958; Littlejohn, Mathew/0000-0001-9044-047X
FU Ministry of Business, Innovation and Employment Endeavour Funds
   [CONT-62639-ENDRP-AGR, CONT-57639-ENDRP-LIC]
FX This work was funded through the Ministry of Business, Innovation and
   Employment (https://www.mbie.govt.nz/) Endeavour Funds
   CONT-62639-ENDRP-AGR and CONT-57639-ENDRP-LIC. The funders had no role
   in study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Akcakaya P, 2018, NATURE, V561, P416, DOI 10.1038/s41586-018-0500-9
   Armenteros JJA, 2019, NAT BIOTECHNOL, V37, P420, DOI 10.1038/s41587-019-0036-z
   Brinkman EK, 2014, NUCLEIC ACIDS RES, V42, DOI 10.1093/nar/gku936
   Brophy B, 2003, NAT BIOTECHNOL, V21, P157, DOI 10.1038/nbt783
   Brunberg E, 2006, BMC GENET, V7, DOI 10.1186/1471-2156-7-46
   Bryant JR, 2007, NEW ZEAL J AGR RES, V50, P327, DOI 10.1080/00288230709510301
   Carlson DF, 2016, NAT BIOTECHNOL, V34, P479, DOI 10.1038/nbt.3560
   Carvalho BP, 2019, J ANIM SCI TECHNOL, V61, P61, DOI 10.5187/jast.2019.61.2.61
   CBS, 2019, SIGNALP 5 0
   Chambers LE, 2008, AUST METEOROL MAG, V57, P13
   Clark LA, 2006, P NATL ACAD SCI USA, V103, P1376, DOI 10.1073/pnas.0506940103
   Cong L, 2013, SCIENCE, V339, P819, DOI 10.1126/science.1231143
   D'Mello SAN, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17071144
   Davis SR, 2017, J ANIM SCI, V95, P1788, DOI 10.2527/jas.2016.0956
   Du JY, 2003, AM J PATHOL, V163, P333, DOI 10.1016/S0002-9440(10)63657-7
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Fu YF, 2013, NAT BIOTECHNOL, V31, P822, DOI 10.1038/nbt.2623
   Gao YP, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-016-1144-4
   Graham Catriona, 2009, Biotechnology Journal, V4, P108, DOI 10.1002/biot.200800200
   Haeussler M, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-1012-2
   HANSEN PJ, 1990, VET REC, V127, P333
   Hauser M, 2020, SCHWEIZ ARCH TIERH, V162, P551, DOI 10.17236/sat00272
   Hennig SL, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-78264-8
   Hunter R.S., 1987, MEASUREMENT APPEARAN, Vsecond, P411
   Jabed A, 2012, P NATL ACAD SCI USA, V109, P16811, DOI 10.1073/pnas.1210057109
   Jivanji S, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-021-07804-x
   Jivanji S, 2019, GENET SEL EVOL, V51, DOI 10.1186/s12711-019-0506-2
   Kadzere CT, 2002, LIVEST PROD SCI, V77, P59, DOI 10.1016/S0301-6226(01)00330-X
   Kerje S, 2004, GENETICS, V168, P1507, DOI 10.1534/genetics.104.027995
   Kim S, 2014, GENOME RES, V24, P1012, DOI 10.1101/gr.171322.113
   KING VL, 1988, J DAIRY SCI, V71, P1093, DOI 10.3168/jds.S0022-0302(88)79657-5
   Knaust J, 2020, GENES-BASEL, V11, DOI 10.3390/genes11070788
   Knaust J, 2016, GENET SEL EVOL, V48, DOI 10.1186/s12711-016-0199-8
   Kühn C, 2007, ANIM GENET, V38, P109, DOI 10.1111/j.1365-2052.2007.01569.x
   KWON BS, 1995, NUCLEIC ACIDS RES, V23, P154, DOI 10.1093/nar/23.1.154
   Laible G, 2015, BIOTECHNOL J, V10, P109, DOI 10.1002/biot.201400193
   Martínez-Esparza MM, 1999, MAMM GENOME, V10, P1168, DOI 10.1007/s003359901184
   Mclean Z, 2020, FRONT AGRIC SCI ENG, V7, P148, DOI 10.15302/J-FASE-2019305
   Mitchell SM, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87259-y
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   Oback B, 2008, REPROD DOMEST ANIM, V43, P407, DOI 10.1111/j.1439-0531.2008.01192.x
   Owen JR, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-021-07418-3
   Park KE, 2020, CRISPR J, V3, P523, DOI 10.1089/crispr.2020.0047
   Perota A, 2019, XENOTRANSPLANTATION, V26, DOI 10.1111/xen.12524
   Proudfoot C, 2015, TRANSGENIC RES, V24, P147, DOI 10.1007/s11248-014-9832-x
   Schmutz SM, 2013, ANIM GENET, V44, P9, DOI 10.1111/j.1365-2052.2012.02361.x
   Schonthaler HB, 2005, DEV BIOL, V284, P421, DOI 10.1016/j.ydbio.2005.06.001
   Seneviratne SI, 2014, NAT CLIM CHANGE, V4, P161, DOI 10.1038/nclimate2145
   Stewart R. E., 1953, Agric. Engng., V34, P235
   Su X., 2018, CAS528DC 2BC1CXHSVAG, V119, p282 288 1
   Theos AC, 2005, PIGM CELL RES, V18, P322, DOI 10.1111/j.1600-0749.2005.00269.x
   Wei JW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25654-8
   Wei JW, 2015, SCI REP-UK, V5, DOI 10.1038/srep11735
   Wells DN, 2005, REV SCI TECH OIE, V24, P251, DOI 10.20506/rst.24.1.1566
   Wells DN, 1999, BIOL REPROD, V60, P996, DOI 10.1095/biolreprod60.4.996
   Wheelock JB, 2010, J DAIRY SCI, V93, P644, DOI 10.3168/jds.2009-2295
   Wu HB, 2015, P NATL ACAD SCI USA, V112, pE1530, DOI 10.1073/pnas.1421587112
   Würtele H, 2003, GENE THER, V10, P1791, DOI 10.1038/sj.gt.3302074
   Young AE, 2020, NAT BIOTECHNOL, V38, P225, DOI 10.1038/s41587-019-0266-0
   ZhangLab, TARG SEQ CLON PROT 2
NR 61
TC 17
Z9 18
U1 3
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 NOV 26
PY 2021
VL 22
IS 1
AR 856
DI 10.1186/s12864-021-08175-z
PG 12
WC Biotechnology & Applied Microbiology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Genetics & Heredity
GA XD6ZX
UT WOS:000722855400002
PM 34836496
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Di Filippo, A
   Baliva, M
   Brunetti, M
   Di Fiore, L
AF Di Filippo, Alfredo
   Baliva, Michele
   Brunetti, Michele
   Di Fiore, Luca
TI Long-Term Tree-Ring Response to Drought and Frost in Two <i>Pinus
   halepensis</i> Populations Growing under Contrasting Environmental
   Conditions in Peninsular Italy
SO FORESTS
LA English
DT Article
DE Aleppo pine; forest; BAI; tree-rings; lifespan; phenotypic traits;
   intra-annual density fluctuations; climate-change
ID INTRAANNUAL DENSITY-FLUCTUATIONS; FAGUS-SYLVATICA L.; LIFE-SPAN; GROWTH;
   CLIMATE; PHENOLOGY; PERFORMANCE; FORESTS; EVENTS; MODEL
AB Pinus halepensis dominates coastal to mountain areas throughout the Mediterranean Basin. Its growth plasticity, based on polycyclic shoot formation and dynamic cambial activity, and tolerance to extreme drought and exceptional frosts, allows it to colonize a vast array of environments. We used tree-rings from codominant pines to compare lifespan, growth rates, age and size distribution in a typical coastal (i.e., prolonged drought, occasional low-intensity fires) vs. inland hilly (i.e., moister conditions, recurrent frosts) population. BAI trends, growth-limiting climate factors and tree-ring anatomical anomalies were analyzed considering the differences in climate and phenology obtained from multispectral satellite images. The species maximum lifespan was 100-125 years. Mortality was mainly due to fire on the coast, or heart-rot in the inland site. Populations differed in productivity, which was maintained over time despite recent warming. Site conditions affected the growing season dynamics, the control over ring formation by summer drought vs. winter cold and the frequency of anatomical anomalies. Recurrent frost rings, associated with temperatures below -10 degrees C, occurred only at the inland site. Pinus halepensis confirmed its remarkable growth plasticity to diverse and variable environmental conditions. Its ability to survive extreme events and sustain productivity confirmed its adaptability to climate change in coastal areas as well as on Mediterranean mountains.
C1 [Di Filippo, Alfredo; Baliva, Michele; Di Fiore, Luca] Univ Tuscia, Dept Agr & Forest Sci DAFNE, DendroLab, I-01100 Viterbo, VT, Italy.
   [Brunetti, Michele] CNR ISAC, I-40129 Bologna, BO, Italy.
C3 Tuscia University; Consiglio Nazionale delle Ricerche (CNR); Istituto di
   Scienze dell'Atmosfera e del Clima (ISAC-CNR)
RP Di Filippo, A (corresponding author), Univ Tuscia, Dept Agr & Forest Sci DAFNE, DendroLab, I-01100 Viterbo, VT, Italy.
EM difilippo@unitus.it; m.baliva@unitus.it; m.brunetti@isac.cnr.it;
   difiore@unitus.it
RI ; Di Filippo, Alfredo/G-1794-2010
OI Baliva, Michele/0000-0001-9707-8688; Di Filippo,
   Alfredo/0000-0001-5863-8339; Di Fiore, Luca/0000-0002-5698-4235
FU Parco Nazionale del Gargano
FX The research on Monte Barone was conducted with funding by Parco
   Nazionale del Gargano.
CR [Anonymous], 1998, BOSCHI ITALIA SINECO
   [Anonymous], P LIVING PLANET S
   Aragones D, 2019, INT J APPL EARTH OBS, V78, P281, DOI 10.1016/j.jag.2018.11.003
   Aybar C., 2020, Journal of Open Source Software, V5, P2272, DOI [10.21105/joss.02272, DOI 10.21105/JOSS.02272]
   Baquedano FJ, 2008, EUR J FOREST RES, V127, P495, DOI 10.1007/s10342-008-0232-8
   Barinov VV, 2015, CONTEMP PROBL ECOL+, V8, P414, DOI 10.1134/S1995425515040046
   Borghetti M, 1998, TREES-STRUCT FUNCT, V12, P187, DOI 10.1007/s004680050139
   Brienen RJW, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17966-z
   Brunetti M, 2014, INT J CLIMATOL, V34, P1278, DOI 10.1002/joc.3764
   Bunn A., 2015, Dendrochronology Program LIbrary in R. R package version 1.6.3
   Cai ZZ, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9121271
   Calamassi R, 2001, ISRAEL J PLANT SCI, V49, P179, DOI 10.1092/MDDV-V5M4-0833-CC5G
   Campelo F, 2007, ANN FOREST SCI, V64, P229, DOI 10.1051/forest:2006107
   Linares JC, 2011, CLIMATIC CHANGE, V105, P67, DOI 10.1007/s10584-010-9878-6
   Caudullo G, 2017, DATA BRIEF, V12, P662, DOI 10.1016/j.dib.2017.05.007
   Chambel M.R., 2013, FOREST TREE BREEDING
   Chen R, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12142290
   Cuttelod A., 2008, Wildlife in a Changing WorldAn Analysis of the 2008 IUCN Red List of Threatened Species
   de Luis M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083550
   Di Filippo A, 2007, J BIOGEOGR, V34, P1873, DOI 10.1111/j.1365-2699.2007.01747.x
   Di Filippo A, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00046
   Di Filippo A, 2012, GLOBAL CHANGE BIOL, V18, P960, DOI 10.1111/j.1365-2486.2011.02617.x
   Enzi S., 2017, MEDITERRANEE REV GEO
   FRITTS HC, 1989, ADV ECOL RES, V19, P111
   GALLI M, 1992, THEOR APPL CLIMATOL, V45, P217, DOI 10.1007/BF00866195
   GOLUB GH, 1979, TECHNOMETRICS, V21, P215, DOI 10.1080/00401706.1979.10489751
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Hadad M, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100264
   Hoerling M, 2012, J CLIMATE, V25, P2146, DOI 10.1175/JCLI-D-11-00296.1
   Hover A, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0637-y
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Huete AR, 1997, REMOTE SENS ENVIRON, V59, P440, DOI 10.1016/S0034-4257(96)00112-5
   Camarero JJ, 2015, J ECOL, V103, P44, DOI 10.1111/1365-2745.12295
   Camarero JJ, 2010, NEW PHYTOL, V185, P471, DOI 10.1111/j.1469-8137.2009.03073.x
   Karamihalaki M., 2016, EUR SP AGENCY SPEC P, V740, P603
   Klein T., 2012, THESIS SCI COUNCIL W
   Lionello P, 2018, REG ENVIRON CHANGE, V18, P1481, DOI 10.1007/s10113-018-1290-1
   Maselli F, 2004, REMOTE SENS ENVIRON, V89, P423, DOI 10.1016/j.rse.2003.10.020
   Mensing S, 2016, ANTHROPOCENE, V15, P49, DOI 10.1016/j.ancene.2016.01.003
   Montwé D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04039-5
   Novak K, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00727
   Novak K, 2013, IAWA J, V34, P459, DOI 10.1163/22941932-00000037
   Pardos M, 2003, TREES-STRUCT FUNCT, V17, P442, DOI 10.1007/s00468-003-0259-x
   Pedrotti F., 1967, MITT OSTALP PFLANZ A, V7, P142
   Piermattei A, 2015, TREES-STRUCT FUNCT, V29, P613, DOI 10.1007/s00468-014-1107-x
   Piovesan G, 2008, GLOBAL CHANGE BIOL, V14, P1265, DOI 10.1111/j.1365-2486.2008.01570.x
   Piovesan G, 2019, ANTHROPOCENE, V26, DOI 10.1016/j.ancene.2019.100199
   Prislan P, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01923
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rathgeber CBK, 2005, TREES-STRUCT FUNCT, V19, P162, DOI 10.1007/s00468-004-0378-z
   Rowland L, 2015, NATURE, V528, P119, DOI 10.1038/nature15539
   Sánchez E, 2004, GLOBAL PLANET CHANGE, V44, P163, DOI 10.1016/j.gloplacha.2004.06.010
   Stephenson NL, 2014, NATURE, V507, P90, DOI 10.1038/nature12914
   Trenberth KE, 2013, EARTHS FUTURE, V1, P19, DOI 10.1002/2013EF000165
   Zalloni E, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00579
   Zeng LL, 2020, REMOTE SENS ENVIRON, V237, DOI 10.1016/j.rse.2019.111511
NR 56
TC 13
Z9 13
U1 2
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAR
PY 2021
VL 12
IS 3
AR 305
DI 10.3390/f12030305
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA RD7SG
UT WOS:000633672100001
OA gold
DA 2025-01-10
ER

PT J
AU Hunt, JD
   Nascimento, A
   Diuana, FA
   Weber, NDB
   Castro, GM
   Chaves, AC
   Mesquita, ALA
   Colling, AV
   Schneider, PS
AF Hunt, Julian David
   Nascimento, Andreas
   Diuana, Fabio A.
   Brasil Weber, Natalia de Assis
   Castro, Gabriel Malta
   Chaves, Ana Carolina
   Amarante Mesquita, Andre Luiz
   Colling, Angeli Viviani
   Schneider, Paulo Smith
TI Cooling down the world oceans and the earth by enhancing the North
   Atlantic Ocean current
SO SN APPLIED SCIENCES
LA English
DT Article
DE Adaptation to climate change; Arctic ice cover; North Atlantic
   overturning circulation; Geoengineering
ID ARCTIC SEA-ICE; WATER TRANSFER; IMPACTS
AB The world is going through intensive changes due to global warming. It is well known that the reduction in ice cover in the Arctic Ocean further contributes to increasing the atmospheric Arctic temperature due to the reduction of the albedo effect and increase in heat absorbed by the ocean's surface. The Arctic ice cover also works like an insulation sheet, keeping the heat in the ocean from dissipating into the cold Arctic atmosphere. Increasing the salinity of the Arctic Ocean surface would allow the warmer and less salty North Atlantic Ocean current to flow on the surface of the Arctic Ocean considerably increasing the temperature of the Arctic atmosphere and release the ocean heat trapped under the ice. This paper argues that if the North Atlantic Ocean current could maintain the Arctic Ocean ice-free during the winter, the longwave radiation heat loss into space would be larger than the increase in heat absorption due to the albedo effect. This paper presents details of the fundamentals of the Arctic Ocean circulation and presents three possible approaches for increasing the salinity of the surface water of the Arctic Ocean. It then discusses that increasing the salinity of the Arctic Ocean would warm the atmosphere of the Arctic region, but cool down the oceans and possibly the Earth. However, it might take thousands of years for the effects of cooling the oceans to cool the global average atmospheric temperature.
C1 [Hunt, Julian David; Nascimento, Andreas] IIASA, Laxenburg, Austria.
   [Nascimento, Andreas] Univ Fed Espirito Santo, Sao Mateus, Brazil.
   [Nascimento, Andreas] Univ Leoben, Leoben, Austria.
   [Diuana, Fabio A.; Castro, Gabriel Malta] Univ Fed Rio de Janeiro, Energy Planning Program, Rio De Janeiro, Brazil.
   [Brasil Weber, Natalia de Assis; Schneider, Paulo Smith] Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil.
   [Chaves, Ana Carolina] Brazilian Sch Stat Sci, Rio De Janeiro, Brazil.
   [Amarante Mesquita, Andre Luiz] Fed Univ Para, Tucurui, Brazil.
   [Colling, Angeli Viviani] State Univ Rio Grande, Rio Grande, Brazil.
C3 International Institute for Applied Systems Analysis (IIASA);
   Universidade Federal do Espirito Santo; University of Leoben;
   Universidade Federal do Rio de Janeiro; Universidade Federal do Rio
   Grande do Sul; Universidade Federal do Para
RP Hunt, JD (corresponding author), IIASA, Laxenburg, Austria.
EM hunt@iiasa.ac.at
RI Schneider, Paulo/J-3981-2019; Mesquita, André/F-5227-2017; Nascimento,
   Andreas/AAI-5605-2021; Hunt, Julian/E-4028-2018
OI Catolico, Ana Carolina/0000-0001-8521-1402; Hunt,
   Julian/0000-0002-1840-7277
FU International Institute for Applied Systems Analysis (IIASA);
   Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES
   Brazil); Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior-Brasil (CAPES) [001]
FX Open access funding provided by International Institute for Applied
   Systems Analysis (IIASA). We would like to thank the Coordenacao de
   Aperfeicoamento de Pessoal de Nivel Superior (CAPES Brazil) and the
   International Institute for Applied Systems Analysis (IIASA) for the
   research grant and postdoctoral research fellowship. This study was
   financed in part by the Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior-Brasil (CAPES)-Finance Code 001.
CR [Anonymous], Special Report
   [Anonymous], 2008, Hole-filled seamless SRTM data V4
   [Anonymous], 1956, POP MECH, V105, P135
   Anthony KW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05738-9
   Bevis M, 2019, P NATL ACAD SCI USA, V116, P1934, DOI 10.1073/pnas.1806562116
   Buck HJ, 2018, GEOFORUM, V91, P78, DOI 10.1016/j.geoforum.2018.02.020
   Burke EJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa138
   Busby Joshua W., 2017, COUNCIL FOREIGN RELA
   CATTLE H, 1985, POLAR REC, V22, P485
   Chen YT, 2019, SCI TOTAL ENVIRON, V658, P1064, DOI 10.1016/j.scitotenv.2018.12.299
   de Richter R, 2019, MANAGING GLOBAL WARMING: AN INTERFACE OF TECHNOLOGY AND HUMAN ISSUES, P581, DOI 10.1016/B978-0-12-814104-5.00020-X
   Desch SJ, 2017, EARTHS FUTURE, V5, P107, DOI 10.1002/2016EF000410
   Deser C, 2015, J CLIMATE, V28, P2168, DOI 10.1175/JCLI-D-14-00325.1
   Forest B, 2012, POLIT GEOGR, V31, P167, DOI 10.1016/j.polgeo.2011.11.005
   Frajka-Williams E, 2016, OCEANOGRAPHY, V29, P22, DOI 10.5670/oceanog.2016.96
   Gaillard F, 2016, J CLIMATE, V29, P1305, DOI 10.1175/JCLI-D-15-0028.1
   Gerasimov I., 1982, IZV AKAD NAUK SERIYA, V6, P24
   Goldner A, 2014, NATURE, V511, P574, DOI 10.1038/nature13597
   Goldner A, 2013, CLIM PAST, V9, P173, DOI 10.5194/cp-9-173-2013
   Haqq-Misra J, 2015, FUTURES, V72, P80, DOI 10.1016/j.futures.2015.07.002
   HOLT T, 1984, ANN GLACIOL, V5, P61, DOI 10.3189/1984AoG5-1-61-68
   HOWE CW, 1971, INTERBASIN TRANSFERS
   Hunt JD, 2019, MITIG ADAPT STRAT GL, V24, P779, DOI 10.1007/s11027-018-9831-y
   Institute of Atmospheric Physics CA of S, 2016, EARTH SYST GRID FED
   Irvine P, 2019, NAT CLIM CHANGE, V9, P295, DOI 10.1038/s41558-019-0398-8
   Kolodziejczyk N, 2017, ISAS 15 TEMPERATURE
   Kosugi T, 2013, MITIG ADAPT STRAT GL, V18, P1141, DOI 10.1007/s11027-012-9414-2
   Lenton TM, 2009, ATMOS CHEM PHYS, V9, P5539, DOI 10.5194/acp-9-5539-2009
   Ley W, 1961, GALAXY SCI FICT, V19, P37
   Liu W, 2019, GEOPHYS RES LETT, V46, P944, DOI 10.1029/2018GL080602
   Liu W, 2019, J CLIMATE, V32, P977, DOI 10.1175/JCLI-D-18-0231.1
   LUTEN DB, 1965, SCIENCE, V149, P133, DOI 10.1126/science.149.3680.133
   MEADOR MR, 1992, FISHERIES, V17, P17, DOI 10.1577/1548-8446(1992)017<0017:IWTEC>2.0.CO;2
   Met Office, 2013, CLIM MOD VAR EV MONT
   Met Office, 2013, CLIM MOD VAR PREC MO
   Met Office, 2016, CLIM MOD VAR NEAR SU
   Met Office, 2013, CLIM MOD VAR TOA INC
   Micklin P, 2011, SIBERIAN WATER TRANS, P1515
   Micklin P. P., 1981, EOS Transactions of the American Geophysical Union, V62, P489, DOI 10.1029/EO062i019p00489-01
   MICKLIN PP, 1986, SOV GEOGR, V27, P287, DOI 10.1080/00385417.1986.10640648
   Moore JC, 2018, NATURE, V555, P303, DOI 10.1038/d41586-018-03036-4
   Moriyama R, 2017, MITIG ADAPT STRAT GL, V22, P1207, DOI 10.1007/s11027-016-9723-y
   Ranjan R, 2014, MITIG ADAPT STRAT GL, V19, P479, DOI 10.1007/s11027-012-9444-9
   Screen JA, 2018, NAT GEOSCI, V11, P155, DOI 10.1038/s41561-018-0059-y
   Serreze MC, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008230
   Sévellec F, 2017, NAT CLIM CHANGE, V7, P604, DOI [10.1038/nclimate3353, 10.1038/NCLIMATE3353]
   Skyllingstad ED, 2018, GEOPHYS RES LETT, V45, P11789, DOI 10.1029/2018GL080349
   Sledd A, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10010012
   Wada Y, 2016, J ADV MODEL EARTH SY, V8, P735, DOI 10.1002/2015MS000618
   Wang K, 2018, GEOPHYS RES LETT, V45, P4264, DOI 10.1029/2018GL077325
   Wei LR, 2018, ATMOS CHEM PHYS, V18, P16033, DOI 10.5194/acp-18-16033-2018
   Wolovick MJ, 2018, CRYOSPHERE, V12, P2955, DOI 10.5194/tc-12-2955-2018
   Zhou S, 2005, CLIMATIC CHANGE, V71, P203, DOI 10.1007/s10584-005-5933-0
NR 53
TC 3
Z9 3
U1 1
U2 17
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2523-3963
EI 2523-3971
J9 SN APPL SCI
JI SN Appl. Sci.
PD JAN
PY 2020
VL 2
IS 1
AR 15
DI 10.1007/s42452-019-1755-y
PG 15
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA KN9MR
UT WOS:000515172300003
OA hybrid
DA 2025-01-10
ER

PT C
AU Röhle, H
AF Roehle, Heinz
BE Raupeliene, A
TI GROWTH PERFORMANCE AND MANAGEMENT IN MIXED FOREST STANDS
SO 8TH INTERNATIONAL SCIENTIFIC CONFERENCE RURAL DEVELOPMENT 2017:
   BIOECONOMY CHALLENGES
SE Rural Development
LA English
DT Proceedings Paper
CT 8th International Scientific Conference on Rural Development -
   Bioeconomy Challenges
CY NOV 23-24, 2017
CL Aleksandras Stulginskis Univ, Akademija, LITHUANIA
SP Lithuanian Minist Agr, Res Council Lithuania
HO Aleksandras Stulginskis Univ
DE Forest conversion; mixed stands; single tree simulators
AB In 2017, the global population stands at about 7.6 billion. Due to the medium variant of the population projections, developed by the UN, the world population will grow to nearly 10 billion by the middle of this century. As a consequence, the worldwide demand for wood will increase. Therefore, the forest sector has to develop concepts in order to cope with the increasing demand for wood, the altering environmental conditions and the challenge of climate change.
   Modified silvicultural treatment programs may contribute to solving these questions. Appropriate measures are the conversion of pure stands into mixed stands, the promotion of natural regeneration instead of artificial regeneration and the creation of structured forests consisting of indigenous or foreign tree species, which are better adapted to climate change and/or are growing faster. Mixed stands often exceed the volume as well as the biomass productivity of pure stands and increase the biodiversity of forest landscapes.
   orest simulation models are a prerequisite for the management of mixed stands. They provide enhanced opportunities of planning for forest conversion and facilitate the decision support in forest practice. These model approaches support the development of goal oriented thinning programs and make it possible to test and optimize alternative silvicultural concepts without the establishment of experimental plots. The Bavarian State Forest Enterprise (Bayerische Staatsforsten) is managing 808731 ha of forest area in the southern part of Germany. Since 2005 this enterprise is converting pure, coniferous stands (> 200000 ha of forest area) into mixed, uneven-aged forests. A simulation program (single tree simulator) is used in order to achieve this goal.
C1 [Roehle, Heinz] Tech Univ Dresden, Inst Forest Growth & Comp Sci Forestry, Fac Environm Sci, Dept Forestry, Dresden, Germany.
C3 Technische Universitat Dresden
RP Röhle, H (corresponding author), Tech Univ Dresden, Inst Forest Growth & Comp Sci Forestry, Fac Environm Sci, Dept Forestry, Dresden, Germany.
EM heinz..roehle@tu-dresden.de
CR [Anonymous], 1963, VORLAUFIGE FICHTEN E
   Bayerische Staatsforsten, 2017, STATISTIK
   Horn H., 2018, THESIS
   Mantau U., 2012, Holzrohstoffbilanz Deutschland: entwicklungen und Szenarien des Holzaufkommens und der Holzverwendung von 1987 bis 2015
   Pretzsch H, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5967
   Pretzsch H, 2013, EUR J FOREST RES, V132, P263, DOI 10.1007/s10342-012-0673-y
   Rohle H, 1997, ALLG FORST JAGDZTG, V168, P110
   Schroder J., 2005, Forst und Holz, V60, P411
   Schröder J, 2007, EUR J FOREST RES, V126, P459, DOI 10.1007/s10342-006-0167-x
   Spiecker H., 1996, GROWTH TRENDS EUROPE, DOI [10.1007/978-3-642-61178-0, DOI 10.1007/978-3-642-61178-0]
   THOMASIUS H, 1991, FORSTWISS CENTRALBL, V110, P305, DOI 10.1007/BF02741264
   United Nations Population Fund, 2017, WORLD POP RENDS
   Wagner S, 2011, EUR J FOREST RES, V130, P17, DOI 10.1007/s10342-010-0378-z
NR 13
TC 1
Z9 1
U1 0
U2 0
PU ALEKSANDRAS STULGINSKIS UNIVERSITY
PI AKADEMIJA
PA CENTRE RURAL SOCIAL RESEARCH, FAC ECONOMICS & MANAGEMENT, UNIVERSITETO
   STR 10-406, AKADEMIJA, KAUNAS DISTR 53361, LITHUANIA
SN 1822-3230
BN 978-609-449-128-3
J9 RURAL DEVELOPMENT
PY 2017
BP 781
EP 785
DI 10.15544/RD.2017.122
PG 5
WC Green & Sustainable Science & Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics
GA BO8KU
UT WOS:000527792100141
OA Bronze
DA 2025-01-10
ER

PT J
AU Roco, L
   Engler, A
   Bravo-Ureta, BE
   Jara-Rojas, R
AF Roco, Lisandro
   Engler, Alejandra
   Bravo-Ureta, Boris E.
   Jara-Rojas, Roberto
TI Farmers' perception of climate change in mediterranean Chile
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Climate perception; Probit models; Agriculture; Chile
ID LOCAL PERCEPTIONS; ADAPTATION; RISK; VARIABILITY; AGRICULTURE;
   TEMPERATURE; TRANSITION; MITIGATION; SUPPORT; BELIEF
AB Meteorologists predict that climate change will have an increasing impact on ecosystems and agricultural production; however, many farmers do not have a clear perception of climate change or how it may affect their crop yields and overall farming operation in the near future. This study examines climate change perceptions in four rural municipalities in Central Chile, and the effect that exposure to meteorological information has on such perceptions, using a survey conducted in 2011. It uses a probit model to identify the socioeconomic and productive factors associated with what we define as a "clear perception" of climate change. Most farmers in this survey recognize that there have been changes in temperature and precipitation patterns during the last 24 years: About 62 % perceive that the average temperatures have increased; 93 % that precipitation has decreased; and 87 % that droughts are more frequent. The econometric model shows the significance of education and access to meteorological information for climate change perception. The results reveal that younger, more educated producers and those who own their land tend to have a clearer perception of climate change than older, less educated, or tenant farmers. From a policy point of view, it is important to give all farmers information that will help them to adapt to climate change using appropriate farming technologies and practices. Projects and programs designed to enhance understanding of the consequences of climate change will help farmers to develop the management ability to cope with climate risk.
C1 [Roco, Lisandro] Univ Catolica Maule, Fac Agr & Forestry, Dept Forestry, Talca, Chile.
   [Engler, Alejandra; Bravo-Ureta, Boris E.; Jara-Rojas, Roberto] Univ Talca, Dept Agr Econ, Talca, Chile.
   [Bravo-Ureta, Boris E.] Univ Connecticut, Dept Agr & Resource Econ, Storrs, CT 06269 USA.
   [Bravo-Ureta, Boris E.] Univ Connecticut, Dept Econ, Storrs, CT 06269 USA.
C3 Universidad Catolica del Maule; Universidad de Talca; University of
   Connecticut; University of Connecticut
RP Roco, L (corresponding author), Univ Catolica Maule, Fac Agr & Forestry, Dept Forestry, POB 617,Ave San Miguel 3605, Talca, Chile.
EM lroco@ucm.cl
RI Roco, Lisandro/ABE-7011-2020; Jara-Rojas, Roberto/AAY-3810-2021
OI Jara-Rojas, Roberto/0000-0001-5693-0037; Roco,
   Lisandro/0000-0002-6267-8461; Engler, Alejandra/0000-0002-8154-5971
FU Latin American and Caribbean Environmental Economics Program (LACEEP);
   Chilean National Comission for Scientific and Technological Research
   (CONICYT)
FX This work was partially supported by a research grant from the Latin
   American and Caribbean Environmental Economics Program (LACEEP) and a
   doctoral scholarship from Chilean National Comission for Scientific and
   Technological Research (CONICYT). The authors thank the Excellence
   Program of Interdisciplinary Research: Adaptation of Agriculture to
   Climate Change (A2C2) of Universidad de Talca and also the farmers who
   courteously answered our survey.
CR AGU, 2013, REV POS STAT AM GEOP
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P2164, DOI 10.3390/ijerph10062164
   Allison I., 2009, COPENHAGEN DIAGNOSIS
   Amponsah W. A., 1995, Journal of Agricultural and Applied Economics, V27, P565
   Andersen LE, 2010, 5170 WORLD BANK SUST
   [Anonymous], IMP PROD SECT SILV C
   [Anonymous], 2009, 849 IFPRI
   [Anonymous], CAMB CLIM SECT SILV
   [Anonymous], 2004, 0401 IRI
   [Anonymous], PLAN AD CAMB CLIM SE
   [Anonymous], 2011, ECUAD DEBATE
   [Anonymous], CIFR CENS 2007
   [Anonymous], DES HUM CHIL RUR SEI
   Barnes AP, 2012, CLIMATIC CHANGE, V112, P507, DOI 10.1007/s10584-011-0226-2
   Batte MT, 2005, COMPUT ELECTRON AGR, V47, P1, DOI 10.1016/j.compag.2004.08.002
   Browning-Aiken A, 2007, CLIMATIC CHANGE, V85, P323, DOI 10.1007/s10584-007-9302-z
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Chaudhary P, 2011, CURR SCI INDIA, V101, P504
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Christie DA, 2011, CLIM DYNAM, V36, P1505, DOI 10.1007/s00382-009-0723-4
   Clarke CL, 2012, AFR J RANGE FOR SCI, V29, P13, DOI 10.2989/10220119.2012.687041
   Clements R., 2011, TECHNOLOGIES CLIMATE
   Comer S, 1999, J SUSTAIN AGR, V15, P29, DOI 10.1300/J064v15n01_04
   CONAMA, 2006, ESTR NAC CAMB CLIM
   Deressa T., 2008, ANAL DETERMINANTS FA
   ECLAC, 2009, EC CAMB CLIM CHIL SY
   Falvey M, 2007, J HYDROMETEOROL, V8, P171, DOI 10.1175/JHM562.1
   Falvey M, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010519
   FIA, 2010, MOD COOP ACC INT SEC
   de Jalón SG, 2013, ENVIRON SCI POLICY, V29, P1, DOI 10.1016/j.envsci.2013.01.010
   Gloy B.A., 2000, International Food and Agribusiness Management Review, V3, P323, DOI [10.1016/S1096-7508(01)00051-9, DOI 10.1016/S1096-7508(01)00051-9]
   Gonzalez P, 2004, NINO LA NINA 1997 20, P231
   González J, 2008, CHIL J AGR RES, V68, P56, DOI 10.4067/S0718-58392008000100006
   Greene A.M., 2011, Eos, Transactions American Geophysical Union, V92, P397, DOI DOI 10.1029/2011EO450001
   Greene W., 2008, Econometric analysis
   Hageback J, 2005, CLIMATIC CHANGE, V72, P189, DOI 10.1007/s10584-005-5384-7
   Halder P, 2012, REG ENVIRON CHANGE, V12, P665, DOI 10.1007/s10113-012-0281-x
   Hamilton LC, 2009, INT J CLIMATOL, V29, P2348, DOI 10.1002/joc.1930
   Hansen JE, 2012, NASA GISS SURFACE TE
   Jara-Rojas R, 2013, LAND USE POLICY, V32, P292, DOI 10.1016/j.landusepol.2012.11.001
   Lata S, 2012, CLIMATIC CHANGE, V110, P169, DOI 10.1007/s10584-011-0062-4
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Li Y, 2011, PSYCHOL SCI, V22, P454, DOI 10.1177/0956797611400913
   Maddala G.S., 1987, Econometric Society Monographs
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Marcott SA, 2013, SCIENCE, V339, P1198, DOI 10.1126/science.1228026
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mertz O, 2012, AMBIO, V41, P380, DOI 10.1007/s13280-011-0231-8
   Moelesti ME, 2012, J AGRIC EDUC EXT, V2012, P1
   NOAA-NCDC, 2011, STAT CLIM GLOB AN AN
   ODEPA, 2011, CHIL AGR OV
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Otto-Banaszak I, 2011, REG ENVIRON CHANGE, V11, P217, DOI 10.1007/s10113-010-0144-2
   Paeth H, 2009, ADV SCI LETT, V2, P310, DOI 10.1166/asl.2009.1038
   Parry M, 2001, GLOBAL ENVIRON CHANG, V11, P257, DOI 10.1016/S0959-3780(01)00012-7
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   PytlikZillig LM, 2010, J APPL METEOROL CLIM, V49, P1333, DOI 10.1175/2010JAMC2270.1
   Rao KPC, 2011, EXP AGR, V47, P267, DOI 10.1017/S0014479710000918
   Rebetez M, 1996, CLIMATIC CHANGE, V32, P495, DOI 10.1007/BF00140358
   Retamal M. Rafaela, 2011, Ambient. soc., V14, P175
   Rolfe J., 2003, Electronic Commerce Research and Applications, V2, P27
   Salinger MJ, 2005, CLIMATIC CHANGE, V70, P341, DOI 10.1007/s10584-005-5954-8
   Sayadi S, 2008, SPAN J AGRIC RES, V6, P453, DOI 10.5424/sjar/2008063-338
   Shisanya CA, 2007, CLIMATIC CHANGE, V85, P271, DOI 10.1007/s10584-007-9321-9
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Sánchez-Cortés MS, 2011, CLIMATIC CHANGE, V107, P363, DOI 10.1007/s10584-010-9972-9
   Sofoluwe NA, 2011, AFR J AGR RES, V6, P4789
   Solomon A, 2011, B AM METEOROL SOC, V92, P141, DOI 10.1175/2010BAMS2962.1
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Taragola NM, 2010, COMPUT ELECTRON AGR, V70, P369, DOI 10.1016/j.compag.2009.09.004
   Thurow AP, 2001, ECOL ECON, V37, P139, DOI 10.1016/S0921-8009(00)00271-8
   USDA, 2013, USDA TECHN B, V1935
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   Vera-Toscano E, 2007, SPAN J AGRIC RES, V5, P271
   Vignola R, 2013, MITIG ADAPT STRAT GL, V18, P303, DOI 10.1007/s11027-012-9364-8
   Warren M., 2004, J SMALL BUS ENTERP D, V11, P371, DOI [DOI 10.1108/14626000410551627, 10.1108/14626000410551627]
   Weber E.U., 1997, Psychological Perspectives to Environmental and Ethical Issues in Management, P314
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
NR 81
TC 121
Z9 133
U1 10
U2 139
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 2015
VL 15
IS 5
SI SI
BP 867
EP 879
DI 10.1007/s10113-014-0669-x
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CI0CY
UT WOS:000354404600010
DA 2025-01-10
ER

PT J
AU Alauddin, M
   Sarker, MAR
AF Alauddin, Mohammad
   Sarker, Md Abdur Rashid
TI Climate change and farm-level adaptation decisions and strategies in
   drought-prone and groundwater-depleted areas of Bangladesh: an empirical
   investigation
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Climate change; Drought severity; Groundwater depletion; Adaptation
   barriers; Resource-depleting adaptation; Science-driven adaptation;
   Enabling environment
ID DETERMINANTS; DISTRICT; IMPACT
AB Despite recognizing the vulnerability of Bangladesh's agriculture to climate change, the existing literature pays limited attention to a rigorous, quantitative analysis of farm-level data to investigate rice farmers' preferred adaptation strategies, perceived barriers, and policy implications. By employing data from 1800 Bangladeshi farm-households in eight drought-prone and groundwater-depleted districts of three climatic zones and logit models, this study breaks new ground in investigating farm-level adaptation to climate change.
   Results showed that farmers' perceptions of climatic variability supported macro-level evidence. Science-driven (e.g., drought tolerant rice), environmental resource-depleting (e.g., groundwater), and crop-switching (e.g., non-rice crops) typified preferred farm-level adaptation strategies to alleviate adverse effects of climate change. Drought severity, extent of groundwater depletion, education level, farm-size, access to climate information, and electricity for irrigation, and agricultural subsidies were significant factors underpinning farmers' decision to adapt. Inadequate access to climate information and scientific research outcomes, limited irrigation facility and resource-base represented major adaptation barriers.
   Strengthening agricultural research and support services including information accessibility, community-focussed farming education and training for improved crop culture practices, and expanded and efficient surface-water irrigation infrastructure are critically important for creating an effective adaptation process to climate change. Scientific research-driven adaptation measures with stronger support systems appear more sustainable. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Alauddin, Mohammad] Univ Queensland, Sch Econ, Brisbane, Qld 4072, Australia.
   [Sarker, Md Abdur Rashid] Rajshahi Univ, Dept Econ, Rajshahi 6205, Bangladesh.
C3 University of Queensland; University of Rajshahi
RP Alauddin, M (corresponding author), Univ Queensland, Sch Econ, Brisbane, Qld 4072, Australia.
EM m.alauddin@uq.edu.au; rashid_econ@ru.ac.bd
OI Alauddin, Mohammad/0000-0003-2510-882X
FU Australian Centre International Agricultural Research grant [ASEM
   2011/005]
FX An Australian Centre International Agricultural Research grant (ASEM
   2011/005) funded this research. The authors would like to thank two
   anonymous referees for useful comments; Dr M.A Quayyum, Mr M.A. Sa lam
   and Mr Jahangir Kabir for the field survey, Professor Md. Elias
   Hossain.Mr Kazi Julfikar Ali, Mr Rezaul Hasan and Mr Sajjad Hossain for
   useful assistance at various stages of this research. However, the
   authors' greatest debt is to the participating farmers for their
   selfless cooperation. The usual caveats apply.
CR Adham MI, 2010, J GEOL SOC INDIA, V75, P432, DOI 10.1007/s12594-010-0039-3
   Alauddin M, 2008, ECOL ECON, V65, P111, DOI 10.1016/j.ecolecon.2007.06.004
   Alauddin M, 2013, ECOL ECON, V93, P210, DOI 10.1016/j.ecolecon.2013.05.015
   Alchian AA, 1950, J POLIT ECON, V58, P211, DOI 10.1086/256940
   AMEMIYA T, 1981, J ECON LIT, V19, P1483
   [Anonymous], 2009, UNDERSTANDING FARMER
   [Anonymous], 2013, A Report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics
   [Anonymous], 2005, NAT AD PROGR ACT NAP
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], 2011, PROTOCOL MONITORING
   [Anonymous], STUDY LIVELIHOOD SYS
   [Anonymous], J AGR SCI 1
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Cameron A.C., 2009, MICROECONOMETRICS US, V5
   CHAMBERS R, 1989, WORLD DEV, V17, P329, DOI 10.1016/0305-750X(89)90206-4
   FAO, 2006, LIV AD CLIM CHANG VA
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   GoB,, 2011, BANGL EC REV
   Habiba U., 2013, Climate change adaptation actions in Bangladesh, P227, DOI DOI 10.1007/978-4-431-54249-0_13
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Kropko Jonathan., 2007, Choosing between Multinomial Logit and Multinomial Probit Models for Analysis of Unordered Choice Data
   Kurukulasuriya P, 2007, CLIMATIC CHANGE, V81, P39, DOI 10.1007/s10584-005-9021-2
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P105
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P1
   Long J., 1997, SCOTT REGRESSION MOD
   Maddison D., 2006, The perception of and adaptation to climate change in Africa
   MoA, 2013, BANGL AGR GLANC
   Molua EL, 2009, GLOBAL PLANET CHANGE, V67, P205, DOI 10.1016/j.gloplacha.2009.02.006
   Myrdal G., 1970, The Challenge of World Poverty
   Nishat A., 2013, Climate Change Adaptation Actions in Bangladesh, P15, DOI DOI 10.1007/978-4-431-54249-0_2
   Nyangena Wilfred, 2008, Environment Development and Sustainability, V10, P745, DOI 10.1007/s10668-007-9083-6
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Roumasset J.A., 1976, Rice and Risk. Decision Making Among Low-Income Farmers
   Sarker MAR, 2013, INT J CLIM CHANG STR, V5, P382, DOI 10.1108/IJCCSM-06-2012-0033
   Shah T., 2010, TAMING ANARCHY GROUN, DOI DOI 10.4324/9781936331598
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Shamsudduha M, 2011, HYDROGEOL J, V19, P901, DOI 10.1007/s10040-011-0723-4
   Shaw R, 2013, CLIMATE CHANGE ADAPT, P3
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Yu W., 2010, CLIMATE CHANGE RISK
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
NR 50
TC 162
Z9 171
U1 2
U2 126
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD OCT
PY 2014
VL 106
BP 204
EP 213
DI 10.1016/j.ecolecon.2014.07.025
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 AP7RO
UT WOS:000342274600019
DA 2025-01-10
ER

PT J
AU Lötter, D
   le Maitre, D
AF Loetter, Daleen
   le Maitre, David
TI Modelling the distribution of <i>Aspalathus linearis</i> (Rooibos tea):
   implications of climate change for livelihoods dependent on both
   cultivation and harvesting from the wild
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE Bush tea; climate change scenarios; endemic medicinal plants; local
   communities; MaxEnt; range shifts; rooibos
ID SPECIES DISTRIBUTION MODELS; CHANGE IMPACTS; PLANT PHENOLOGY; RANGE
   SHIFTS; POPULATIONS; CAPE; VULNERABILITY; BIODIVERSITY
AB Aspalathus linearis (Burm. f.) R. Dahlgren (rooibos) is endemic to the Fynbos Biome of South Africa, which is an internationally recognized biodiversity hot spot. Rooibos is both an invaluable wild resource and commercially cultivated crop in suitable areas. Climate change predictions for the region indicate a significant warming scenario coupled with a decline in winter rainfall. First estimates of possible consequences for biodiversity point to species extinctions of 23% in the long term in the Fynbos Biome. Bioclimatic modelling using the maximum entropy method was used to develop an estimate of the realized niche of wild rooibos and the current geographic distribution of areas suitable for commercially production. The distribution modelling provided a good match to the known distribution and production area of A.linearis. An ensemble of global climate models that assume the A2 emissions scenario of high energy requirements was applied to develop possible scenarios of range/suitability shift under future climate conditions. When these were extrapolated to a future climate (2041-2070) both wild and cultivated tea exhibited substantial range contraction with some range shifts southeastwards and upslope. Most of the areas where range expansion was indicated are located in existing conservation areas or include conservation worthy vegetation. These findings will be critical in directing conservation efforts as well as developing strategies for farmers to cope with and adapt to climate change.
C1 [Loetter, Daleen; le Maitre, David] CSIR, ZA-7602 Stellenbosch, South Africa.
RP Lötter, D (corresponding author), CSIR, POB 320, ZA-7602 Stellenbosch, South Africa.
EM dlotter@csir.co.za
RI Le Maitre, David/M-8791-2015
OI Le Maitre, David/0000-0003-1037-6637
FU Volkswagen Foundation
FX This study was funded by the Volkswagen Foundation.
CR [Anonymous], 2007, SPECIESDISTRIBUTION
   [Anonymous], 2008, HOLE FILLED SRTM GLO
   Araújo MB, 2006, SCIENCE, V313, P1396, DOI 10.1126/science.1131758
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Barnard A., 1992, HUNTERS HERDERS SO A
   Bertin RI, 2008, J TORREY BOT SOC, V135, P126, DOI 10.3159/07-RP-035R.1
   Bertrand R, 2011, NATURE, V479, P517, DOI 10.1038/nature10548
   BOND WJ, 1983, S AFR J SCI, V79, P231
   Bradley BA, 2012, DIVERS DISTRIB, V18, P425, DOI 10.1111/j.1472-4642.2011.00875.x
   Broennimann O, 2006, GLOBAL CHANGE BIOL, V12, P1079, DOI 10.1111/j.1365-2486.2006.01157.x
   CAVALIERE C., 2009, Herbal Gram, V81, P44
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Clark CJ, 2007, AM NAT, V170, P128, DOI 10.1086/518565
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Colwell RK, 2008, SCIENCE, V322, P258, DOI 10.1126/science.1162547
   DAHLGREN R, 1968, BOT NOTISER, V121, P165
   Department of Agriculture Forestry and Fisheries, 2010, PROF S AFR ROOIB TEA
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Elith J, 2009, ECOGRAPHY, V32, P66, DOI 10.1111/j.1600-0587.2008.05505.x
   Engelbrecht F., 2005, Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation, P57
   Engelbrecht FA, 2011, WATER SA, V37, P647, DOI 10.4314/wsa.v37i5.2
   Falk W, 2011, J VEG SCI, V22, P621, DOI 10.1111/j.1654-1103.2011.01294.x
   Gaikwad J, 2011, ECOL MODEL, V222, P3437, DOI 10.1016/j.ecolmodel.2011.07.005
   Gairola S, 2010, J MED PLANTS RES, V4, P1825
   Gerard A, 2010, THESIS U HAMBURG
   GERMISHUIZEN G, 2003, PLANTS SO AFRICA ANN
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Guisan A, 2006, J APPL ECOL, V43, P386, DOI 10.1111/j.1365-2664.2006.01164.x
   Harper J. L., 1974, Annual Review of Ecology and Systematics, V5, P419, DOI 10.1146/annurev.es.05.110174.002223
   HARPER JL, 1967, J ANIM ECOL, V36, P495, DOI 10.2307/2808
   Hastie T, 2013, ECOGRAPHY, V36, P864, DOI 10.1111/j.1600-0587.2013.00321.x
   Hawkins HJ, 2011, S AFR J BOT, V77, P360, DOI 10.1016/j.sajb.2010.09.014
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Hewitson B., 2003, EOS Transactions, American Geophysical Union, V84, P337
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hulme PE, 2011, NEW PHYTOL, V189, P272, DOI 10.1111/j.1469-8137.2010.03446.x
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Loarie SR, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002502
   Malgas RR, 2010, S AFR J BOT, V76, P72, DOI 10.1016/j.sajb.2009.07.004
   Merow X, 2013, ECOGRAPHY, V36, P1, DOI DOI 10.1111/j.1600-0587.2013.07872.x
   Midgley GF, 2003, BIOL CONSERV, V112, P87, DOI 10.1016/S0006-3207(02)00414-7
   Midgley GF, 2002, GLOBAL ECOL BIOGEOGR, V11, P445, DOI 10.1046/j.1466-822X.2002.00307.x
   Miller J, 2010, GEOGR COMPASS, V4, P490, DOI 10.1111/j.1749-8198.2010.00351.x
   MORTON JF, 1983, ECON BOT, V37, P164, DOI 10.1007/BF02858780
   Muofhe ML, 2000, AUST J PLANT PHYSIOL, V27, P1169, DOI 10.1071/PP99198
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pretorius G., 2009, BIODIVERSITY BEST PR
   Prieto P, 2009, GLOBAL ECOL BIOGEOGR, V18, P473, DOI 10.1111/j.1466-8238.2009.00460.x
   Ray R, 2011, J ENVIRON BIOL, V32, P725
   Renner IW, 2013, BIOMETRICS, V69, P274, DOI 10.1111/j.1541-0420.2012.01824.x
   Rodríguez-Castañeda G, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044402
   Royle JA, 2012, METHODS ECOL EVOL, V3, P545, DOI 10.1111/j.2041-210X.2011.00182.x
   Ruiz-Labourdette D, 2013, ECOL INDIC, V24, P310, DOI 10.1016/j.ecolind.2012.06.021
   SIRI, 1987, LAND TYP SER MEM AGR
   Soberón J, 2009, P NATL ACAD SCI USA, V106, P19644, DOI 10.1073/pnas.0901637106
   Thuiller W, 2005, P NATL ACAD SCI USA, V102, P8245, DOI 10.1073/pnas.0409902102
   van Heerden FR, 2003, BIOCHEM SYST ECOL, V31, P885, DOI 10.1016/S0305-1978(03)00084-X
   VANDERBANK M, 1995, BIOCHEM SYST ECOL, V23, P257, DOI 10.1016/0305-1978(95)00016-N
   von Staden L., 2009, V25, P1
   Yackulic CB, 2013, METHODS ECOL EVOL, V4, P236, DOI 10.1111/2041-210x.12004
   Yates CJ, 2010, AUSTRAL ECOL, V35, P374, DOI 10.1111/j.1442-9993.2009.02044.x
NR 64
TC 39
Z9 41
U1 1
U2 54
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD APR
PY 2014
VL 4
IS 8
BP 1209
EP 1221
DI 10.1002/ece3.985
PG 13
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA AF3GZ
UT WOS:000334601100001
PM 24834320
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Barrera-Escoda, A
   Gonçalves, M
   Guerreiro, D
   Cunillera, J
   Baldasano, JM
AF Barrera-Escoda, A.
   Goncalves, M.
   Guerreiro, D.
   Cunillera, J.
   Baldasano, J. M.
TI Projections of temperature and precipitation extremes in the North
   Western Mediterranean Basin by dynamical downscaling of climate
   scenarios at high resolution (1971-2050)
SO CLIMATIC CHANGE
LA English
DT Article
ID EUROPEAN CLIMATE; MODEL; SPAIN; SIMULATIONS; CIRCULATION; TRENDS;
   PARAMETERIZATION; VARIABILITY; 2ND-HALF; EVENTS
AB The North Western Mediterranean basin (NWMB) is characterised by a highly complex topography and an important variability of temperature and precipitation patterns. Downscaling techniques are required to capture these features, identify the most vulnerable areas to extreme changes and help decision makers to design strategies of mitigation and adaptation to climate change. A Regional Climate Model, WRF-ARW, is used to downscale the IPCC-AR4 ECHAM5/MPI-OM General Circulation Model results with high resolution (10 km), considering three different emissions scenarios (B1, A1B and A2) for 2001-2050. Model skills to reproduce observed extremes are assessed for a control period, 1971-2000, using the ERA40 reanalysis to drive the WRF-ARW simulations. A representative set of indices for temperature and precipitation extremes is projected. The modelling system correctly reproduces amplitude and frequency of extremes and provides a high degree of detail on variability over neighbouring areas. However, it tends to overestimate the persistence of wet events and consequently slightly underestimate the length of dry periods. Drier and hotter conditions are generally projected for the NWMB, with significant increases in the duration of droughts and the occurrence of heavy precipitation events. The projected increase in the number of tropical nights and extreme temperatures could have a negative effect on human health and comfort conditions. Simulations allow defining specifically vulnerable areas, such as the Ebro Valley or the Pyrenees, and foreseeing impacts on socio-economic activities in the region.
C1 [Barrera-Escoda, A.; Cunillera, J.] Meteorol Serv Catalonia, Climate Change Unit, Barcelona, Spain.
   [Goncalves, M.; Guerreiro, D.; Baldasano, J. M.] Barcelona Supercomp Center, Ctr Nacl Supercomput, Dept Earth Sci, Barcelona, Spain.
   [Goncalves, M.; Baldasano, J. M.] Tech Univ Catalonia, Projects Dept, Barcelona, Spain.
C3 Universitat Politecnica de Catalunya; Barcelona Supercomputer Center
   (BSC-CNS); Universitat Politecnica de Catalunya
RP Gonçalves, M (corresponding author), Barcelona Supercomp Center, Ctr Nacl Supercomput, Dept Earth Sci, Barcelona, Spain.
EM maria.goncalves@upc.edu
RI Baldasano, Jose/A-3852-2016; Casanova, Daniela/B-6611-2014; Goncalves
   Ageitos, Maria/H-2130-2015; Barrera-Escoda, Antoni/K-4337-2017
OI Goncalves Ageitos, Maria/0000-0003-3857-6403; Barrera-Escoda,
   Antoni/0000-0001-7248-4030; Cunillera, Jordi/0000-0002-5334-2018
CR Alpert P, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013554
   Altava-Ortiz V., 2010, PhD Thesis
   [Anonymous], 2003, REPORT MAX PLANCK IN
   [Anonymous], CLIMATE SPAIN PRESEN
   [Anonymous], 2007, Climate Change 2007: The Physical Science Basis
   [Anonymous], 2000, SPECIAL REPORT EMISS
   [Anonymous], ANN REV NAT CAT 2005
   [Anonymous], THESIS U BARCELONA
   [Anonymous], 2012, Standardized Precipitation Index User Guide
   [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], IPCC MPI ECHAM5 T63L
   [Anonymous], IPCC AR4 MPI ECHAM5
   Argueso D, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017399
   Argueso D, 2012, J CLIMATE, V25, P4883, DOI 10.1175/JCLI-D-11-00276.1
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Boberg F, 2010, CLIM DYNAM, V35, P1509, DOI 10.1007/s00382-009-0683-8
   Brunet M, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008249
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P7, DOI 10.1007/s10584-006-9210-7
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Dankers R, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD011523
   del Río S, 2012, THEOR APPL CLIMATOL, V109, P605, DOI 10.1007/s00704-012-0593-2
   DUDHIA J, 1989, J ATMOS SCI, V46, P3077, DOI 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
   Gao XJ, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024954
   Gao XJ, 2008, GLOBAL PLANET CHANGE, V62, P195, DOI 10.1016/j.gloplacha.2008.02.002
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   GIORGI F, 1991, REV GEOPHYS, V29, P191, DOI 10.1029/90RG02636
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gómez-Navarro JJ, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL054206
   Goodess CM, 2002, INT J CLIMATOL, V22, P1593, DOI 10.1002/joc.810
   Heinrich G, 2012, INT J CLIMATOL, V32, P1951, DOI 10.1002/joc.2421
   Herrera S, 2012, INT J CLIMATOL, V32, P74, DOI 10.1002/joc.2256
   Herrera S, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD013936
   Hong SY, 2006, MON WEATHER REV, V134, P2318, DOI 10.1175/MWR3199.1
   Hong SY, 2004, MON WEATHER REV, V132, P103, DOI 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
   Iacono MJ, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD009944
   Jerez S, 2013, CLIM DYNAM, V40, P3023, DOI 10.1007/s00382-012-1539-1
   Jiménez-Guerrero P, 2013, CLIM RES, V57, P201, DOI 10.3354/cr01165
   Kain JS, 2004, J APPL METEOROL, V43, P170, DOI 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
   Kjellström E, 2007, CLIMATIC CHANGE, V81, P249, DOI 10.1007/s10584-006-9220-5
   Lehner B, 2006, CLIMATIC CHANGE, V75, P273, DOI 10.1007/s10584-006-6338-4
   Llasat MC, 2009, NAT HAZARD EARTH SYS, V9, P2049, DOI 10.5194/nhess-9-2049-2009
   Marsland SJ, 2003, OCEAN MODEL, V5, P91, DOI 10.1016/S1463-5003(02)00015-X
   Nieto S, 2006, J CLIMATE, V19, P4254, DOI 10.1175/JCLI3859.1
   Nikulin G, 2011, TELLUS A, V63, P41, DOI 10.1111/j.1600-0870.2010.00466.x
   Niu GY, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015139
   Orlowsky B, 2012, CLIMATIC CHANGE, V110, P669, DOI 10.1007/s10584-011-0122-9
   Radu R, 2008, TELLUS A, V60, P898, DOI 10.1111/j.1600-0870.2008.00341.x
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   Sánchez E, 2004, GLOBAL PLANET CHANGE, V44, P163, DOI 10.1016/j.gloplacha.2004.06.010
   Serra C, 2006, THEOR APPL CLIMATOL, V85, P165, DOI 10.1007/s00704-005-0184-6
   Skamarock WC, 2008, J COMPUT PHYS, V227, P3465, DOI 10.1016/j.jcp.2007.01.037
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tebaldi C, 2006, CLIMATIC CHANGE, V79, P185, DOI 10.1007/s10584-006-9051-4
   Uppala SM, 2005, Q J ROY METEOR SOC, V131, P2961, DOI 10.1256/qj.04.176
   van Ulden AP, 2006, ATMOS CHEM PHYS, V6, P863, DOI 10.5194/acp-6-863-2006
   Vicente-Serrano SM, 2007, THEOR APPL CLIMATOL, V88, P247, DOI 10.1007/s00704-006-0236-6
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   von Storch H, 2000, MON WEATHER REV, V128, P3664, DOI 10.1175/1520-0493(2000)128<3664:ASNTFD>2.0.CO;2
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
NR 59
TC 40
Z9 41
U1 0
U2 46
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD FEB
PY 2014
VL 122
IS 4
BP 567
EP 582
DI 10.1007/s10584-013-1027-6
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AB7MB
UT WOS:000331973200004
DA 2025-01-10
ER

PT J
AU Macintosh, A
AF Macintosh, Andrew
TI Coastal climate hazards and urban planning: how planning responses can
   lead to maladaptation
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Coastal climate hazards; Urban planning; Adaptation; Spatial adaptation
   planning
ID SEA-LEVEL RISE; SAFE MINIMUM STANDARD; ADAPTATION; UNCERTAINTY;
   MANAGEMENT; IMPACT; POLICY; CONSERVATION; GOVERNMENT; ECONOMICS
AB Urban planning has the potential to be a powerful tool for facilitating efficient and equitable adaptation to climate change-related coastal hazards ('coastal climate hazards'). However, if urban planning measures are poorly designed or implemented, it can increase costs and vulnerability, and unfairly affect the interests of particular groups. Through a case study on the coastal climate hazard planning framework in Victoria, Australia, this paper aims to illustrate how urban planning measures can lead to maladaptation and draw lessons for the future design and implementation of planning responses. Five main policy lessons are drawn from the case study. First, planning frameworks should encourage the adoption of robust approaches that are as insensitive to the uncertainties associated with coastal climate hazards as possible. Secondly, policy makers need to be mindful of the opportunity costs and equity implications of planning responses. Thirdly, to be sustainable, planning responses must be robust to social and political factors, something that can be achieved through the use of flexible approaches that allow continued use and development of land but on conditions that protect the interests of governments and communities. Fourthly, policy makers need to be mindful of transaction costs. Finally, when devolving planning responsibilities to lower levels of government, policy makers need to ensure that the objectives of planning frameworks are clear, there is minimal ambiguity in decision guidelines, and that the resourcing and capacity constraints of planning bodies are appropriately considered.
C1 Australian Natl Univ, Ctr Climate Law & Policy, Canberra, ACT, Australia.
C3 Australian National University
RP Macintosh, A (corresponding author), Australian Natl Univ, Ctr Climate Law & Policy, Canberra, ACT, Australia.
EM andrew.macintosh@anu.edu.au
OI Macintosh, Andrew/0000-0001-5700-7105
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Allen Doug., 1991, RES. L. ECON, V14, P1
   [Anonymous], PLANNING SEA LEVEL R
   [Anonymous], 1772 VCAT VICT GOV
   [Anonymous], 1919 VCAT VICT GOV
   [Anonymous], 133 NSWLEC N S WAL G
   [Anonymous], C PART ITS 16 SESS H
   [Anonymous], ASSESSMENT MANAGEMEN
   [Anonymous], 1778 VCAT VICT GOV
   [Anonymous], 1348 VCAT VICT GOV
   [Anonymous], RCP GREENHOUSE GAS C
   [Anonymous], MAK ROOM CLIM IN STE
   [Anonymous], NEWCASTLE HERAL 0225
   [Anonymous], 1272 VCAT VICT GOV
   [Anonymous], COAST CLIM CHANG ADV
   [Anonymous], 2010, FCA 230 BELLINGEN SH
   [Anonymous], MAN COAST HAZ COAST
   [Anonymous], CLIMATIC CHANGE
   [Anonymous], CLAUSE 13 01 1 STATE
   [Anonymous], GREATER GEELONG PLAN
   [Anonymous], AUSTR NAT ACC STAT A
   [Anonymous], 1965, Principles of political economy
   [Anonymous], 1359 VCAT VICT GOV
   [Anonymous], WELLINGTON PLANNING
   [Anonymous], ENCY LAW EC
   [Anonymous], 1997, Applying the Precautionary Principle
   [Anonymous], 1320 VCAT VICT GOV
   [Anonymous], GUID COAST IN PRESS
   [Anonymous], WARN DEV CIT GREAT G
   [Anonymous], CSI013 EEA
   [Anonymous], 2011, J. LAND USE
   [Anonymous], GREATER GEELONG PLAN
   [Anonymous], 2011, COASTAL CLIMATE CHAN
   [Anonymous], GLEN PLANN SCHEM INC
   [Anonymous], EC AD CLIM CHANG SYN
   [Anonymous], COAST SPAC IN ER COA
   [Anonymous], COASTAL CLIMATE CHAN
   [Anonymous], AUSTR BUR STAT ABS Y
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], GREENHOUSE COPING CL
   [Anonymous], 2011, Statutory Planning in Victoria
   [Anonymous], 860 VCAT VICT GOV
   [Anonymous], MANAGING COASTAL HAZ
   [Anonymous], 2010, ALJ
   [Anonymous], AM J AGR EC
   [Anonymous], BASS COAST PLANNING
   [Anonymous], 2011, J LAND USE ENV LAW
   [Anonymous], BASS COAST PLANNING
   [Anonymous], AUSTR BUR STAT ABS Y
   [Anonymous], WILL STRAND ROCK REV
   [Anonymous], WELLINGTON PLANNING
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 1990, STRAT AD SEA LEV RIS
   [Anonymous], E GIPPSLAND PLANNING
   [Anonymous], ED DIM
   [Anonymous], VICT COAST STRAT 200
   [Anonymous], ADAPTATION CLIMATE C
   [Anonymous], CLIMATE CHANGE COAST
   [Anonymous], BARR EFF CL IN PRESS
   [Anonymous], CLIMATE CHANGE COAST
   [Anonymous], SATURDAY AGE    0526
   [Anonymous], AGE             1109
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bartlett RV, 1999, POLICY POLIT, V27, P415, DOI 10.1332/030557399782218371
   Ben-Haim Y., 2001, INFORM GAP DECISION
   Benoit J., 2007, MITIGATING SHORE ERO
   Berrens RP, 2001, ENVIRON CONSERV, V28, P104, DOI 10.1017/S037689290100011X
   Bray M, 1997, T I BRIT GEOGR, V22, P13
   Bryce James., 1888, The American commonwealth, VFirst
   BURBY RJ, 1991, J URBAN PLAN D-ASCE, V117, P140, DOI 10.1061/(ASCE)0733-9488(1991)117:4(140)
   Ciriacy-Wantrup S.V., 1952, RESOURCE CONSERVATIO
   Cooney R., 2005, BIODIVERSITY PRECAUT
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   de la Vega-Leinert AC, 2008, J COASTAL RES, V24, P342, DOI 10.2112/07A-0008.1
   de Sadeleer N., 2005, ENV PRINCIPLES POLIT
   De Vries J, 2006, PLAN THEORY PRACT, V7, P223, DOI 10.1080/14649350600673245
   Dobes L, 2008, AGENDA, V15, P55
   Easterling W.E., 2004, COPING GLOBAL CLIMAT
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Hanak E, 2012, CLIMATIC CHANGE, V111, P45, DOI 10.1007/s10584-011-0295-2
   Hansen HS, 2010, LANDSCAPE URBAN PLAN, V98, P141, DOI 10.1016/j.landurbplan.2010.08.018
   Holling C.S., 1978, ADAPTIVE ENV MANAGEM
   Hunter J, 2010, CLIMATIC CHANGE, V99, P331, DOI 10.1007/s10584-009-9671-6
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Mastrandrea MD, 2012, CLIMATIC CHANGE, V111, P5, DOI 10.1007/s10584-011-0240-4
   McDonald J, 2011, WIRES CLIM CHANGE, V2, P283, DOI 10.1002/wcc.96
   McLain RJ, 1996, ENVIRON MANAGE, V20, P437, DOI 10.1007/BF01474647
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Mendelsohn R, 2000, CLIMATIC CHANGE, V45, P583, DOI 10.1023/A:1005507810350
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Oates Wallace., 1972, Fiscal Federalism
   Oates WE, 1999, J ECON LIT, V37, P1120, DOI 10.1257/jel.37.3.1120
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Pace N.L., 2011, Journal of Land Use Environmental Law, V26, P327
   Palmini D, 1999, ECOL ECON, V29, P463, DOI 10.1016/S0921-8009(98)00093-7
   Perrings C., 1994, Environmental and Resource Economics, V4, P13, DOI 10.1007/BF00691930
   Pethick J, 2002, RESTOR ECOL, V10, P431, DOI 10.1046/j.1526-100X.2002.01033.x
   Regan HM, 2005, ECOL APPL, V15, P1471, DOI 10.1890/03-5419
   Smith JB, 1997, GLOBAL ENVIRON CHANG, V7, P251, DOI 10.1016/S0959-3780(97)00001-0
   Swart R, 2009, CLIMATIC CHANGE, V92, P1, DOI 10.1007/s10584-008-9444-7
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   Tisdell C. A., 1990, Ecological Economics, V2, P77, DOI 10.1016/0921-8009(90)90014-L
   Titus J., 1998, Maryland Land Review, V27, P1279
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Turbott C., 2006, MANAGED RETREAT COAS
   Walsh KJE, 2004, J COASTAL RES, V20, P586, DOI 10.2112/1551-5036(2004)020[0586:USLRPF]2.0.CO;2
   Walters C., 1986, ADAPTIVE MANAGEMENT
   Weitzman ML, 2007, J ECON LIT, V45, P703, DOI 10.1257/jel.45.3.703
   Wilson E., 2010, SPATIAL PLANNING CLI
   WYNNE B, 1992, GLOBAL ENVIRON CHANG, V2, P111, DOI 10.1016/0959-3780(92)90017-2
   Yohe G, 1997, CLIMATIC CHANGE, V37, P243, DOI 10.1023/A:1005366617640
   Yohe G, 1996, CLIMATIC CHANGE, V32, P387, DOI 10.1007/BF00140353
NR 117
TC 82
Z9 94
U1 5
U2 85
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 2013
VL 18
IS 7
BP 1035
EP 1055
DI 10.1007/s11027-012-9406-2
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 214EI
UT WOS:000324113400010
DA 2025-01-10
ER

PT C
AU Hendrickx, C
   Breemersch, T
AF Hendrickx, Christophe
   Breemersch, Tim
BE Papaioannou, P
TI The effect of climate change on inland waterway transport
SO TRANSPORT RESEARCH ARENA 2012
SE Procedia Social and Behavioral Sciences
LA English
DT Proceedings Paper
CT Conference on Transport Research Arena
CY APR 23-26, 2012
CL Athens, GREECE
DE climate change; inland waterway transport; adaptation
AB Generally, inland waterway transport (IWT) is characterised by a high degree of reliability and safety compared to other transport modes. Against the background of the climate change debate however, new concerns are starting to raise attention. IWT is expected to be more sensitive to climate change aspects than other transport modes, e.g. in terms of water level fluctuations and resulting effects on costs and reliability.
   The present paper specifically addresses the topic of adaptation to climate change, taking IWT as a case-study. The results figuring in the paper are based on the results of the EC funded ECCONET project, which is an interdisciplinary project combining the expertise gained from climatology, hydrology, transport-economics, ship building and inland waterway management. A quantitative approach is applied, using the results of existing climate ensembles, hydrological results from KLIWAS and the transport network models TRANSTOOLS and NODUS. The paper starts first with an overview of expected effects of climate change on the Rhine and Danube. Adaptation measures are evaluated in function of their cost-effectiveness, given the expected impact of climate change on the navigation conditions.
   The main concern for adaptation is coping with periods of low water levels, as these were empirically established as the most influential for the sector. We consider four focal points for adaptation: fleet- and transport related strategies, operational concepts, improvement of forecasting tools and adaptation of production procedures and storekeeping. (C) 2012 Published by Elsevier Ltd. Selection and/or peer review under responsibility of the Programme Committee of the Transport Research Arena 2012
C1 [Hendrickx, Christophe; Breemersch, Tim] Transport & Mobil Leuven, B-3010 Louvain, Belgium.
C3 KU Leuven
EM christophe@tmleuven.be
CR [Anonymous], TRANS TOOLS MODEL
   [Anonymous], 2008, CLIMATE CHANGE 2007
   Chen M., 2011, ECCONET DELIVE UNPUB
   Ickert L., 2006, ABSCHUTZUNG LANGFRIS
   JONKEREN OE, 2009, TINBERGEN I RES SERI, V460
   JOURQUIN B, 2008, MODAL SPLIT EFFECTS
   Klein B., 2010, ECCONET DELIVERABLE
   Lingemann I, 2010, EVALUATION TRE UNPUB
   Quispel M, 2011, MEDIUM LONG TERM PER
   Schweighofer J, 2010, ECCONET DELIVE UNPUB
   Urbain N, 2011, ECCONET DELIVERABLIE
   Zigic B., 2011, ECCONET DELIVE UNPUB
NR 12
TC 11
Z9 11
U1 1
U2 25
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1877-0428
J9 PROCD SOC BEHV
PY 2012
VL 48
BP 1837
EP 1847
DI 10.1016/j.sbspro.2012.06.1158
PG 11
WC Transportation; Transportation Science & Technology
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Transportation
GA BDO55
UT WOS:000314227501086
OA gold
DA 2025-01-10
ER

PT J
AU West, JM
   Julius, SH
   Kareiva, P
   Enquist, C
   Lawler, JJ
   Petersen, B
   Johnson, AE
   Shaw, MR
AF West, Jordan M.
   Julius, Susan H.
   Kareiva, Peter
   Enquist, Carolyn
   Lawler, Joshua J.
   Petersen, Brian
   Johnson, Ayana E.
   Shaw, M. Rebecca
TI US Natural Resources and Climate Change: Concepts and Approaches for
   Management Adaptation
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Adaptation; Resource management; Ecosystems; Resilience;
   Uncertainty; Triage; Thresholds
ID ADAPTIVE MANAGEMENT; BIODIVERSITY; RESILIENCE; FRAMEWORK; CONSERVATION;
   ECOSYSTEMS; SCENARIOS; SHIFTS; WATER; FACE
AB Public lands and waters in the United States traditionally have been managed using frameworks and objectives that were established under an implicit assumption of stable climatic conditions. However, projected climatic changes render this assumption invalid. Here, we summarize general principles for management adaptations that have emerged from a major literature review. These general principles cover many topics including: (1) how to assess climate impacts to ecosystem processes that are key to management goals; (2) using management practices to support ecosystem resilience; (3) converting barriers that may inhibit management responses into opportunities for successful implementation; and (4) promoting flexible decision making that takes into account challenges of scale and thresholds. To date, the literature on management adaptations to climate change has mostly focused on strategies for bolstering the resilience of ecosystems to persist in their current states. Yet in the longer term, it is anticipated that climate change will push certain ecosystems and species beyond their capacity to recover. When managing to support resilience becomes infeasible, adaptation may require more than simply changing management practices-it may require changing management goals and managing transitions to new ecosystem states. After transitions have occurred, management will again support resilience-this time for a new ecosystem state. Thus, successful management of natural resources in the context of climate change will require recognition on the part of managers and decisions makers of the need to cycle between "managing for resilience" and "managing for change.".
C1 [West, Jordan M.; Julius, Susan H.] US EPA, Natl Ctr Environm Assessment, Washington, DC 20460 USA.
   [Kareiva, Peter] Nature Conservancy, Seattle, WA 98105 USA.
   [Enquist, Carolyn] Nat Conservancy New Mexico, Santa Fe, NM 87501 USA.
   [Lawler, Joshua J.] Univ Washington, Coll Forest Resources, Seattle, WA 98195 USA.
   [Petersen, Brian] Univ Calif Santa Cruz, Dept Environm Studies, Santa Cruz, CA 95064 USA.
   [Johnson, Ayana E.] Univ Calif San Diego, Scripps Inst Oceanog, Ctr Marine Biodivers & Conservat, La Jolla, CA 92093 USA.
   [Shaw, M. Rebecca] Nature Conservancy, San Francisco, CA 94105 USA.
C3 United States Environmental Protection Agency; Nature Conservancy;
   Nature Conservancy; University of Washington; University of Washington
   Seattle; University of California System; University of California Santa
   Cruz; University of California System; University of California San
   Diego; Scripps Institution of Oceanography; Nature Conservancy
RP West, JM (corresponding author), US EPA, Natl Ctr Environm Assessment, 1200 Penn Ave NW 8601P, Washington, DC 20460 USA.
EM west.jordan@epa.gov
OI Petersen, Brian/0000-0003-4208-441X
FU EPA's National Center for Environmental Assessment
FX We thank all of our fellow authors of the Climate Change Science Program
   publication, Preliminary Review of Adaptation Options for
   Climate-Sensitive Ecosystems and Resources (CCSP 2008), whose ideas and
   insights contributed greatly to this article. We thank especially the
   lead authors of the management system chapters: J. Baron, B. Griffith,
   L. Joyce, B. Keller, M. Palmer, C. Peterson, and M. Scott. We would also
   like to acknowledge the support of EPA's National Center for
   Environmental Assessment in the Office of Research and Development, and
   especially our colleagues in EPA's Global Change Assessment Staff for
   many helpful discussions and comments during the conceptual development
   of this article. Special thanks go to G. Blate and A. Babson for their
   contributions. Finally, we thank two anonymous reviewers for their many
   useful comments and suggestions.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   [Anonymous], PRELIMINARY REV ADAP
   [Anonymous], 1993, FOREST ECOSYSTEM MAN
   [Anonymous], DOWNSTR AD MAN GLEN
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], GAO07863
   Arvai J, 2006, CLIMATIC CHANGE, V78, P217, DOI 10.1007/s10584-006-9094-6
   Baron J.S., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research
   Bennett EM, 2005, ECOSYSTEMS, V8, P945, DOI 10.1007/s10021-005-0141-3
   Burkett VR, 2005, ECOL COMPLEX, V2, P357, DOI 10.1016/j.ecocom.2005.04.010
   Burton I., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures
   Carpenter SR, 1999, ECOL APPL, V9, P751, DOI 10.1890/1051-0761(1999)009[0751:MOEFLS]2.0.CO;2
   Carpenter SR, 2006, ECOL SOC, V11
   Carter T.R., 2007, Task Group on Data and Scenario Support for Impact and Climate Assessment (TGICA) IPCC Report
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   CARTER TR, 1994, PREPARED WORKING GRO
   Cumming GS, 2007, LANDSCAPE ECOL, V22, P671, DOI 10.1007/s10980-006-9057-3
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dixon GaryE., 2003, ESSENTIAL FVS USERS
   Gregory R, 2002, J POLICY ANAL MANAG, V21, P492, DOI 10.1002/pam.10059
   Gregory R, 2006, ECOL APPL, V16, P2411, DOI 10.1890/1051-0761(2006)016[2411:DAMCFA]2.0.CO;2
   Grime JP, 2000, SCIENCE, V289, P762, DOI 10.1126/science.289.5480.762
   GRIMSDITCH GD, 2006, IUCN RESILIENCE SCI, V1
   Groffman PM, 2006, ECOSYSTEMS, V9, P1289, DOI 10.1007/s10021-006-0177-z
   Groom MarthaJ., 2006, Principles of Conservation Biology, V3rd
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hall MHP, 2003, BIOSCIENCE, V53, P131, DOI 10.1641/0006-3568(2003)053[0131:MCIGCI]2.0.CO;2
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Hansen LJ., 2003, Buying time. A user's manual for building resistance and resilience to climate change in natural systems
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1978, Adaptive environmental assessment and management
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.1059199
   Johnson T, 2009, ENVIRON MANAGE, V43, P118, DOI 10.1007/s00267-008-9205-4
   Joyce L.A., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources: Final report, p3
   JULIUS SH, 2008, REPORT US CLIMATE CH
   Kareiva P., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources. Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research
   Kerr RA, 2005, SCIENCE, V309, P100, DOI 10.1126/science.309.5731.100
   Kerr RA, 2004, SCIENCE, V305, P932, DOI 10.1126/science.305.5686.932
   Kokko H, 2006, SCIENCE, V313, P789, DOI 10.1126/science.1128566
   LEEWORTHY VR, 2003, PROFILES EC CONTRIBU
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014
   Lovejoy T.E., 2005, Climate Change and Biodiversity
   MAUCRIMMINS T, 2005, SONORAN DESERT NETWO
   Metzger MJ, 2005, INT J APPL EARTH OBS, V7, P253, DOI 10.1016/j.jag.2005.06.011
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moir WH, 2001, ENVIRON MANAGE, V28, P141, DOI 10.1007/s002670010213
   Myers N., 1979, The sinking arc
   PALMER MA, 2008, PRELIMINARY REV ADAP
   PAULY D, 1995, TRENDS ECOL EVOL, V10, P430, DOI 10.1016/S0169-5347(00)89171-5
   Peterson C.H., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources, p7
   Peterson CH, 2001, MARINE COMMUNITY ECOLOGY, P469
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   PIANKA ER, 1970, AM NAT, V104, P592, DOI 10.1086/282697
   Porter M.E., 1985, CREATING SUSTAINING
   Rayfuse Rosemary, 2008, RECIEL., V17, P3
   Root TL, 2002, WILDLIFE RESPONSES TO CLIMATE CHANGE: NORTH AMERICAN CASE STUDIES, P1
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Schwartz P, 1996, ART LONG VIEW PLANNI, P1
   Scott J.M., 2008, Preliminary review of adaptation options for climate-sensitive resources, p5
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Stankey GH, 2003, J FOREST, V101, P40
   Tompkins EL, 2004, ECOL SOC, V9
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Walker B, 2004, ECOL SOC, V9
   Walters C., 1986, ADAPTIVE MANAGEMENT
   WALTERS CJ, 1978, ANNU REV ECOL SYST, V9, P157, DOI 10.1146/annurev.es.09.110178.001105
   Willis KJ, 2006, SCIENCE, V314, P1261, DOI 10.1126/science.1122667
   Willows R., 2003, UKCIP TECHNICAL REPO
   Woodley C., 2008, PRELIMINARY REV ADAP
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young OR, 2007, ENVIRONMENT, V49, P20, DOI 10.3200/ENVT.49.4.20-33
NR 79
TC 130
Z9 159
U1 3
U2 73
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD DEC
PY 2009
VL 44
IS 6
BP 1001
EP 1021
DI 10.1007/s00267-009-9345-1
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 530TN
UT WOS:000272615300001
PM 19636606
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Wang, XM
   Liu, SW
   Zhang, JL
AF Wang Xiaoming
   Liu Shi-Wei
   Zhang Jing-Lin
TI A new look at roles of the cryosphere in sustainable development
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Cryosphere; Cryospheric science; Cryosphere service; Cryosphere change;
   Climate change impact; Climate change adaptation; Risk management;
   Sustainable development
ID CLIMATE-CHANGE; SNOW DEPTH; TEMPERATURE; VARIABILITY; VEGETATION;
   IMPACTS
AB While the cryosphere may bring in adverse impacts on natural and built environment, it may also provide benefits resulting from cryosphere services. By looking into the effect of the cryosphere on human-being, the study develops a unified approach in the analysis of cryospheric risks and services, with one focusing on the adverse impacts by cryospheric hazards and another emphasizing on the benefits that people can obtain from the natural capitals in the cryosphere. Meanwhile, climate change could further alter and complicate the roles of the cryosphere, not only by the changes in risks to cryospheric hazards, but also the changes in services that could potentially add more risks. The study further proposed a risk-based approach for the development of climate adaptation in the cryosphere. The approach essentially takes options to reduce exposure and vulnerability of societies to cryospheric hazards, and to better manage natural capitals and demands together with enhancing utility of the cryosphere, so as to maintain the benefit of cryosphere services in a sustainable way. The study further addresses the role of cryosphere services in strengthening sustainable development in terms of its relation with the sustainable development goals (SDGs), and provides a preliminary results on how the services contributes to SDGs. Overall, the approach developed in this study creates a new way to comprehensively assess the effect of cryosphere changes on our society and identify measures to maximize the benefit while minimizing the risk in relation to the cryosphere.
C1 [Wang Xiaoming; Liu Shi-Wei; Zhang Jing-Lin] Chinese Acad Sci Lanzhou, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China.
   [Liu Shi-Wei; Zhang Jing-Lin] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Wang, XM (corresponding author), Chinese Acad Sci Lanzhou, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China.
EM xiaonungwang@lzb.ac.cn
RI Wang, Xiaoming/A-3804-2008
OI Wang, Xiaoming/0000-0002-6648-0057
FU Natural Science Foundation of China [41690141]; Project of Chinese
   Academy of Sciences [XDA20100305]; CAS Pioneer Hundred Talents Program
FX Authors are supported by Natural Science Foundation of China (41690141),
   Project of Chinese Academy of Sciences (XDA20100305), and CAS Pioneer
   Hundred Talents Program. We would also like to thank Dr ZHANG Yu-Lan for
   her assisting in the completion of Fig. 8.
CR [Anonymous], 2001, J GLACIOLOGY CRYOLOG
   Beniston M, 2003, CLIMATIC CHANGE, V59, P5, DOI 10.1023/A:1024458411589
   Brown RD, 2000, J CLIMATE, V13, P2339, DOI 10.1175/1520-0442(2000)013<2339:NHSCVA>2.0.CO;2
   Deline P, 2012, GEOGR ANN A, V94A, P265, DOI 10.1111/j.1468-0459.2012.00467.x
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Gilaberte-Búrdalo M, 2014, ENVIRON SCI POLICY, V44, P51, DOI 10.1016/j.envsci.2014.07.003
   Haeberli W, 2017, GEOMORPHOLOGY, V293, P405, DOI 10.1016/j.geomorph.2016.02.009
   Huss M, 2008, HYDROL PROCESS, V22, P3888, DOI 10.1002/hyp.7055
   Huss M, 2018, NAT CLIM CHANGE, V8, P135, DOI 10.1038/s41558-017-0049-x
   Huss M, 2015, FRONT EARTH SC-SWITZ, V3, DOI 10.3389/feart.2075.00054
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Knight J, 2014, GEOGR ANN A, V96, P245, DOI 10.1111/geoa.12051
   Koven CD, 2013, J CLIMATE, V26, P1877, DOI 10.1175/JCLI-D-12-00228.1
   Koven CD, 2011, P NATL ACAD SCI USA, V108, P14769, DOI 10.1073/pnas.1103910108
   Kraaijenbrink PDA, 2017, NATURE, V549, P257, DOI 10.1038/nature23878
   Krajick K, 2004, SCIENCE, V303, P1600, DOI 10.1126/science.303.5664.1600
   Kunkel KE, 2016, CURR CLIM CHANGE REP, V2, P65, DOI 10.1007/s40641-016-0036-8
   Milner AM, 2017, P NATL ACAD SCI USA, V114, P9770, DOI 10.1073/pnas.1619807114
   Mudryk LR, 2017, GEOPHYS RES LETT, V44, P919, DOI 10.1002/2016GL071789
   Peng SS, 2010, GLOBAL CHANGE BIOL, V16, P3004, DOI 10.1111/j.1365-2486.2010.02210.x
   Pons-Pons M, 2012, CLIM RES, V54, P197, DOI 10.3354/cr01117
   Qin DH, 2006, J CLIMATE, V19, P1820, DOI 10.1175/JCLI3694.1
   Qin DH, 2018, NATL SCI REV, V5, P255, DOI 10.1093/nsr/nwx108
   Schaefer K, 2011, TELLUS B, V63, P165, DOI 10.1111/j.1600-0889.2011.00527.x
   Steiger R, 2013, TOUR PLAN DEV, V10, P480, DOI 10.1080/21568316.2013.804431
   Sturm M, 2017, WATER RESOUR RES, V53, P3534, DOI 10.1002/2017WR020840
   UNWCED (United Nations World Commission on Environment and Development), 1987, BRUNDTL REP OUR COMM
   Walker DA, 2003, PERMAFROST PERIGLAC, V14, P103, DOI 10.1002/ppp.452
   Wang GX, 2011, CLIMATIC CHANGE, V106, P463, DOI 10.1007/s10584-010-9952-0
   Wipf S, 2009, CLIMATIC CHANGE, V94, P105, DOI [10.1007/s10584-009-9546-x, 10.1007/s10584-009-9546-X]
   WRI (World Resources Institute), 2003, EC HUM WELL BEING FR
NR 31
TC 30
Z9 41
U1 5
U2 46
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING, 100717, PEOPLES R CHINA
SN 1674-9278
J9 ADV CLIM CHANG RES
JI Adv. Clim. Chang. Res.
PD JUN
PY 2019
VL 10
IS 2
SI SI
BP 124
EP 131
DI 10.1016/j.accre.2019.06.005
PG 8
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA IR8GL
UT WOS:000481679700008
OA gold
DA 2025-01-10
ER

PT J
AU Ziervogel, G
   Enqvist, J
   Metelerkamp, L
   van Breda, J
AF Ziervogel, Gina
   Enqvist, Johan
   Metelerkamp, Luke
   van Breda, John
TI Supporting transformative climate adaptation: community-level capacity
   building and knowledge co-creation in South Africa
SO CLIMATE POLICY
LA English
DT Article
DE Capacity building; transformative adaptation; transdisciplinary methods;
   adaptation policy; learning; community-level adaptation
AB Calls for transformative adaptation to climate change require attention to the type of capacity building that can support it. Community-level capacity building can help to ensure ownership and legitimacy of longer-term interventions. Given that marginalized communities are highly vulnerable to climate risk, it is important to build their capacity to adapt locally and to integrate their perspectives into higher-level adaptation measures. Current adaptation policy does not pay sufficient attention to this. Using a Cape Town-based project on water governance in low-income urban settlements, this paper explores how a transdisciplinary research project supported capacity building. Our findings suggest that knowledge co-creation at the community level is central to the capacity building that is needed in order to inform transformative adaptation. The collaborative methodology used is also important; we illustrate how a transdisciplinary approach can contribute to transformative adaptation where knowledge is co-produced to empower community-level actors and organizations to assert their perspectives with greater confidence and legitimacy. We argue that if capacity building processes shift from the top-down transferal of existing knowledge to the co-creation of contextual understandings, they have the potential to deliver more transformative adaptation. By considering diverse sources of knowledge and knowledge systems, capacity building can start to confront inequalities and shift dominant power dynamics. Adaptation policy could provide more guidance and support for community-level transdisciplinary processes that can enable this type of transformative adaptation.
   Key policy insights
   To address equity and justice issues as well as climate risk, adaptation policy needs to better support transformative adaptation.
   Community-level capacity building, called for by developing countries, will benefit from more attention to bottom-up approaches as a complement to top-down ones.
   Community-led research that draws on a diversity of knowledge systems can effectively inform the development of transformative adaptation interventions.
   Transdisciplinary research methods present a promising pedagogical approach to building transformative adaptation capacity.
   Adaptation policy for capacity building would benefit from a broader understanding of governance that includes local participation and values bottom-up contributions.
   A priority for capacity building is getting previously excluded actors a spot at the negotiating table as well as skills to substantiate their arguments.
C1 [Ziervogel, Gina; Enqvist, Johan] Univ Cape Town, African Climate & Dev Initiat, Rondebosch, South Africa.
   [Ziervogel, Gina] Univ Cape Town, Dept Environm & Geog Sci, Cape Town, South Africa.
   [Enqvist, Johan] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Metelerkamp, Luke] Rhodes Univ, Environm Learning Res Ctr, Grahamstown, South Africa.
   [van Breda, John] Stellenbosch Univ, Ctr Complex Syst Transit, Stellenbosch, South Africa.
C3 University of Cape Town; University of Cape Town; Stockholm University;
   Rhodes University; Stellenbosch University
RP Ziervogel, G (corresponding author), Univ Cape Town, African Climate & Dev Initiat, Rondebosch, South Africa.; Ziervogel, G (corresponding author), Univ Cape Town, Dept Environm & Geog Sci, Cape Town, South Africa.
EM gina@csag.uct.ac.za
RI Ziervogel, Gina/AAG-2945-2019; Enqvist, Johan/ABG-4962-2021
OI Ziervogel, Gina/0000-0003-4219-6809; Meteleramp,
   Luke/0000-0003-1407-7693; Enqvist, Johan/0000-0002-6300-0572
FU AXA Research Fund
FX This work was supported by AXA Research Fund.
CR Adhikari B, 2012, CLIM DEV, V4, P54, DOI 10.1080/17565529.2012.664958
   Ahmed F, 2018, LAND USE POLICY, V79, P496, DOI 10.1016/j.landusepol.2018.05.051
   Alpízar F, 2019, NAT CLIM CHANGE, V9, P587, DOI 10.1038/s41558-019-0536-3
   [Anonymous], 2015, Roar Magazine
   [Anonymous], ROAR MAGAZINE
   Archer D, 2015, URBAN CLIM, V14, P68, DOI 10.1016/j.uclim.2015.06.007
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Avelino F, 2017, ENVIRON POLICY GOV, V27, P505, DOI 10.1002/eet.1777
   Balazs CL, 2014, WATER POLICY, V16, P97, DOI 10.2166/wp.2014.101
   Bawany B., 2017, SHARING HIGHER ED S
   Beck T., 2016, I POLICY MAPPING WAT
   Bengtsson S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123430
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Borie M, 2019, ENVIRON SCI POLICY, V99, P1, DOI 10.1016/j.envsci.2019.05.014
   City of Cape Town, 2019, CAPE TOWN WATER STRA
   Collins K., 2009, ENVIRON POLICY GOV, V19, DOI 10.1002/eet.523
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Craig G, 2007, CRIT SOC POLICY, V27, P335, DOI 10.1177/0261018307078846
   Department of Water and Sanitation City of Cape Town, 2018, WATER OUTLOOK 2018 R
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Enqvist J, 2022, INT J WATER RESOUR D, V38, P108, DOI 10.1080/07900627.2020.1841605
   ENQVIST JP, 2019, WILEY INTERDISCIPLIN, V6
   ENSOR J, 2015, WIRES CLIMATE CHANGE, V6
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   FINEWOOD MH, 2015, WILEY INTERDISCIPLIN, V2
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   GAVENTA J, 2006, IDS BULL-I DEV STUD, V37
   Grabowski ZJ, 2019, ENVIRON SCI POLICY, V96, P70, DOI 10.1016/j.envsci.2019.03.007
   Hodgson A., 2018, SOCIAL ECOSYSTEM MOD
   Ison RL, 2015, ENVIRON SCI POLICY, V53, P105, DOI 10.1016/j.envsci.2014.11.002
   Jahn T., 2008, TRANSDISZIPLIN RE FO
   Khan M, 2020, CLIM POLICY, V20, P499, DOI 10.1080/14693062.2019.1675577
   Khan MR, 2018, ROUT ADV CLIMATE, P1
   KIM D, 2020, SUSTAINABILITY SWITZ, V12
   Kristjanson P, 2014, NAT CLIM CHANGE, V4, P5, DOI 10.1038/nclimate2080
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Losch B., 2016, STRUCTURAL TRANSFORM
   Lubell M, 2019, NAT CLIM CHANGE, V9, P578, DOI 10.1038/s41558-019-0541-6
   Lynam T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07410-200165
   Mahlanza L., 2016, URBAN FORUM, V27, DOI 10.1007/s12132-016-9296-6
   Mataya DC, 2020, CLIM DEV, V12, P781, DOI 10.1080/17565529.2019.1694480
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   McGarry, 2015, TRANSFORMATIVE TRANS
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Metelerkamp, 2019, LEARNING CHANGE YOUT
   Metelerkamp L, 2019, AGREKON, V58, P154, DOI 10.1080/03031853.2018.1564680
   Miller V., 2003, POWER EMPOWERMENT PA
   Millington N, 2021, INT J URBAN REGIONAL, V45, P116, DOI 10.1111/1468-2427.12899
   MINDE I, 2015, J AGRIBUS DEV EMERG, V5
   Moore M.-L., 2015, J CORPORATE CITIZENS, V2015, DOI 10.9774/GLEAF.4700.2015.ju.00009
   Otto FEL, 2018, LIKELIHOOD CAPE TOWN
   Pauw WP, 2020, CLIM POLICY, V20, P468, DOI 10.1080/14693062.2019.1635874
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Plummer R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05383-180121
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Ramos-Mejía M, 2018, ENVIRON SCI POLICY, V84, P217, DOI 10.1016/j.envsci.2017.03.010
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Rodina L, 2016, WATER ALTERN, V9, P336
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Roux DJ, 2017, SUSTAIN SCI, V12, P711, DOI 10.1007/s11625-017-0446-0
   Schneider F, 2019, ENVIRON SCI POLICY, V102, P26, DOI 10.1016/j.envsci.2019.08.017
   Scott D, 2018, WATER-SUI, V10, DOI 10.3390/w10101366
   SHI L, 2016, NAT CLIM CHANGE, V6
   SIMPSON NP, 2019, GEOFORUM J PHYS HUMA, V102
   Tengö M, 2014, AMBIO, V43, P579, DOI 10.1007/s13280-014-0501-3
   Tschakert P, 2010, ECOL SOC, V15
   UNFCCC, 2020, BUILDING CAPACITY UN
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Wolski P., 2018, FACTS ARE FEW OPINIO, P1
   Ziervogel G., 2019, UNPACKING CAPE TOWN
   Ziervogel G, 2019, AMBIO, V48, P494, DOI 10.1007/s13280-018-1141-9
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 75
TC 59
Z9 59
U1 7
U2 53
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 2022
VL 22
IS 5
SI SI
BP 607
EP 622
DI 10.1080/14693062.2020.1863180
EA JAN 2021
PG 16
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA 1Q7JM
UT WOS:000610168200001
OA hybrid
DA 2025-01-10
ER

PT S
AU Bouzid, M
AF Bouzid, Maha
BA Bouzid, M
BF Bouzid, M
TI Waterborne Diseases and Climate Change: Impact and Implications
SO EXAMINING THE ROLE OF ENVIRONMENTAL CHANGE ON EMERGING INFECTIOUS
   DISEASES AND PANDEMICS
SE Advances in Human Services and Public Health
LA English
DT Article; Book Chapter
ID DRINKING-WATER; UNITED-STATES; INFECTIOUS-DISEASE; GLOBAL CLIMATE;
   OUTBREAKS; CRYPTOSPORIDIUM; HEALTH; RISK; RAINFALL; ENGLAND
AB Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.
C1 [Bouzid, Maha] Univ East Anglia, Norwich Med Sch, Norwich, Norfolk, England.
C3 University of East Anglia
RP Bouzid, M (corresponding author), Univ East Anglia, Norwich Med Sch, Norwich, Norfolk, England.
CR Andersson T, 2014, EPIDEMIOL INFECT, V142, P303, DOI 10.1017/S0950268813001088
   [Anonymous], 1895, Br Med J, V2, P1175
   [Anonymous], 1890, Science, V16, P312
   [Anonymous], 2014, Microbiology of waterborne diseases, DOI DOI 10.1016/B978-0-12-415846-7.00036-6
   [Anonymous], 2015, SYNTH REP CONTR WORK
   [Anonymous], 2003, ASS MICR SAF DRINK W
   [Anonymous], 2014, ENCY FOOD MICROBIOLO, DOI [10.1016/B978-0-12-384730-0.00355-4, DOI 10.1016/B978-0-12-384730-0.00355-4]
   [Anonymous], 1998, S SERIES SOC APPL MI, DOI DOI 10.1046/J.13652672.1998.0840S135S.X
   [Anonymous], 2015, Progress on Sanitation and Drinking Water: 2015 Update and MDG Assessment
   [Anonymous], 2017, Diarrhoeal Disease
   Ashbolt NJ, 2004, TOXICOLOGY, V198, P229, DOI 10.1016/j.tox.2004.01.030
   Auld H, 2004, J TOXICOL ENV HEAL A, V67, P1879, DOI 10.1080/15287390490493475
   Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/NCLIMATE1628, 10.1038/nclimate1628]
   Baldursson S, 2011, WATER RES, V45, P6603, DOI 10.1016/j.watres.2011.10.013
   Beer KD, 2015, MMWR-MORBID MORTAL W, V64, P849, DOI 10.15585/mmwr.mm6431a3
   Bouzid M, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-781
   Bouzid M, 2013, CLIN MICROBIOL REV, V26, P115, DOI 10.1128/CMR.00076-12
   Cabral JPS, 2010, INT J ENV RES PUB HE, V7, P3657, DOI 10.3390/ijerph7103657
   Cann KF, 2013, EPIDEMIOL INFECT, V141, P671, DOI 10.1017/S0950268812001653
   Chalmers RM, 2012, ANN I SUPER SANITA, V48, P429, DOI 10.4415/ANN_12_04_10
   Confalonieri UEC, 2015, VIRULENCE, V6, P550, DOI 10.1080/21505594.2015.1023985
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   European Parliament, 2006, OFFICIAL J EUROPEAN, V2006, P64
   Funari E, 2012, ANN I SUPER SANITA, V48, P473, DOI 10.4415/ANN_12_04_13
   Gage KL, 2008, AM J PREV MED, V35, P436, DOI 10.1016/j.amepre.2008.08.030
   Gall AM, 2015, PLOS PATHOG, V11, DOI 10.1371/journal.ppat.1004867
   Goldstein ST, 1996, ANN INTERN MED, V124, P459, DOI 10.7326/0003-4819-124-5-199603010-00001
   GORCHEV HG, 1984, WHO CHRON, V38, P104
   Herrador BRG, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0014-y
   Hofstra N, 2011, CURR OPIN ENV SUST, V3, P471, DOI 10.1016/j.cosust.2011.10.006
   Hunter P.R., 2003, Drinking Water and Infectious Disease: Establishing the Links
   Kim KH, 2014, J ENVIRON SCI HEAL C, V32, P299, DOI 10.1080/10590501.2014.941279
   Kothavade RJ, 2012, J MED MICROBIOL, V61, P1039, DOI 10.1099/jmm.0.043158-0
   Kotloff KL, 2013, LANCET, V382, P209, DOI 10.1016/S0140-6736(13)60844-2
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Leclerc H, 2002, CRIT REV MICROBIOL, V28, P371, DOI 10.1080/1040-840291046768
   Lipp EK, 2002, CLIN MICROBIOL REV, V15, P757, DOI 10.1128/CMR.15.4.757-770.2002
   MACKENZIE WR, 1994, NEW ENGL J MED, V331, P161, DOI 10.1056/NEJM199407213310304
   Manganelli M, 2012, ANN I SUPER SANITA, V48, P415
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael T, 2012, BMJ-BRIT MED J, V344, DOI 10.1136/bmj.e1359
   Moors E, 2013, SCI TOTAL ENVIRON, V468, pS139, DOI 10.1016/j.scitotenv.2013.07.021
   Naumova EN, 2007, EPIDEMIOL INFECT, V135, P281, DOI 10.1017/S0950268806006698
   Nichols G, 2009, J WATER HEALTH, V7, P1, DOI 10.2166/wh.2009.143
   O'Neil JM, 2012, HARMFUL ALGAE, V14, P313, DOI 10.1016/j.hal.2011.10.027
   ODONOGHUE PJ, 1995, INT J PARASITOL, V25, P139, DOI 10.1016/0020-7519(94)E0059-V
   Onda K, 2012, INT J ENV RES PUB HE, V9, P880, DOI 10.3390/ijerph9030880
   Patz JA, 2008, AM J PREV MED, V35, P451, DOI 10.1016/j.amepre.2008.08.026
   Patz JA, 2014, ANN GLOB HEALTH, V80, P332, DOI 10.1016/j.aogh.2014.09.007
   Peperzak L, 2005, WATER SCI TECHNOL, V51, P31, DOI 10.2166/wst.2005.0102
   Robson BJ, 2003, MAR FRESHWATER RES, V54, P139, DOI 10.1071/MF02090
   Rose JB, 2001, ENVIRON HEALTH PERSP, V109, P211, DOI 10.2307/3435011
   Schuster CJ, 2005, CAN J PUBLIC HEALTH, V96, P254, DOI 10.1007/BF03405157
   Semenza JC, 2009, LANCET INFECT DIS, V9, P365, DOI 10.1016/S1473-3099(09)70104-5
   Smith A, 2006, EPIDEMIOL INFECT, V134, P1141, DOI 10.1017/S0950268806006406
   Snow J., 1855, BRIT METEOROLOGICAL, V2nd
   Stanke Carla, 2013, PLoS Curr, V5, DOI 10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004
   Sterk A, 2013, ENVIRON SCI TECHNOL, V47, P12648, DOI 10.1021/es403549s
   UNICEF, 2012, PNEUM DIARRH TACKL
   World Health Organization and UNICEF, 2014, PROGR DRINK WWAT SAN
   Wu XX, 2016, ENVIRON INT, V86, P14, DOI 10.1016/j.envint.2015.09.007
   ,, 2008, Weekly Epidemiological Record, V83, P421
NR 64
TC 2
Z9 2
U1 0
U2 8
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
SN 2475-6571
EI 2475-658X
BN 978-1-5225-0554-9; 978-1-5225-0553-2
J9 ADV HUM SERV PUB H
PY 2017
BP 89
EP 108
DI 10.4018/978-1-5225-0553-2.ch004
D2 10.4018/978-1-5225-0553-2
PG 20
WC Environmental Sciences; Environmental Studies; Public, Environmental &
   Occupational Health; Infectious Diseases
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Infectious Diseases
GA BM9MF
UT WOS:000471127800005
DA 2025-01-10
ER

PT J
AU Mills-Novoa, M
AF Mills-Novoa, Megan
TI Making agro-export entrepreneurs out of<i>Campesinos</i>: the role of
   water policy reform, agricultural development initiatives, and the
   specter of climate change in reshaping agricultural systems in Piura,
   Peru
SO AGRICULTURE AND HUMAN VALUES
LA English
DT Article
DE Climate change adaptation; Agricultural development; Water governance;
   Peru
ID RESOURCES MANAGEMENT; POLITICS; ADAPTATION; GOVERNANCE; BASIN; LAW
AB To increase agricultural exports across the Global South, countries are seeking to transform agrarian landscapes and the nature of campesino or smallholder agriculture. These agricultural reforms, however, do not exist in isolation. They work in conjunction with water policy reform to reshape agricultural systems and the people who manage these landscapes. While there has been significant research on agrarian change under neoliberal reform, few scholars have conducted empirical studies that examine how agricultural policy leverages water policy reform to generate changes across agricultural landscapes. Drawing on the case study of the Piura River basin in Northern Peru, this paper first explores how the IWRM inspired 2009 Water Resources Law furthers the state's agricultural development priorities by shifting water toward agro-export production. Secondly, this study demonstrates how climate change is being discursively mobilized as an emerging driver of water scarcity to legitimize these water reallocations. Thirdly, this case highlights how these water reallocations work in concert with the reinstatement of targeted agricultural support programs that seek to transform smallholder farmers into "agro-export entrepreneurs" but with meaningful exclusions. This study contributes to the limited scholarship on the 2009 Water Resources Law in Peru and also raises broader questions regarding how IWRM water management, climate change adaptation discourse, and agricultural development policy collectively promote the globalization of smallholder agriculture.
C1 [Mills-Novoa, Megan] Univ Arizona, Sch Geog & Dev, POB 210137, Tucson, AZ 85721 USA.
C3 University of Arizona
RP Mills-Novoa, M (corresponding author), Univ Arizona, Sch Geog & Dev, POB 210137, Tucson, AZ 85721 USA.
EM mmillsnovoa@email.arizona.edu
OI Mills-Novoa, Megan/0000-0002-1780-9266
FU U.S. Agency for International Development U.S. National Academies of
   Sciences Project [PEER II 2-359]; NSF [DEB-101049]; Tinker Foundation;
   University of Arizona's Social and Behavioral Sciences Research
   Institute
FX The author appreciates the mentorship of Drs. Chris Scott, Diana
   Liverman, Carl Bauer, and Tracey Osborne. The author would also like to
   thank Rossi Taboada, Sophia Borgias, Noah Silber-Coats, Arica Crootof,
   Richard Johnson, Niki von Hedeman, Laurel Bellante, Tamee Albrecht, and
   Surabhi Karambelker for their invaluable feedback on this project and
   manuscript. Thanks also go to the many Piuranos who graciously shared
   their time and experiences. The author would also like to thank the two
   anonymous reviewers whose comments greatly improved the manuscript. This
   research was made possible with the support of the U.S. Agency for
   International Development U.S. National Academies of Sciences Project
   PEER II 2-359 (linked to the NSF Grant DEB-101049), Tinker Foundation,
   and University of Arizona's Social and Behavioral Sciences Research
   Institute.
CR AidData, 2016, AIDDATACORE RES REL
   Akram-Lodhi A.H., 2009, Peasants and Globalization: Political Economy, Rural Transformation and the Agrarian Question, P214
   [Anonymous], 2014, NVIVO QUAL DAT AN SO
   [Anonymous], 1995, PER US BAS APPR WAT
   [Anonymous], 2014, SUP COS PRINC CULT 1
   [Anonymous], 2016, PLAN APR DISP HIDR C
   [Anonymous], 2012, GUIA PRACT MAN BAN O
   [Anonymous], 2010, PER EM EXP FRUITS VE
   [Anonymous], 2014, EV PLAN CULT RIEG UL
   [Anonymous], 2014, PLAN APR DISP HIDR C
   [Anonymous], 2009, ICH HARMON TRIPART G, V8, P1
   [Anonymous], 2015, PLAN APR DISP HIDR C
   [Anonymous], 2008, PLAN ESTR SECT MULT
   [Anonymous], 2011, Expediente tecnico de establecimiento del Area de Conservacion Regional Bosques Secos de Salitral - Huarmaca, P1
   [Anonymous], 2011, EV PLAN CULT RIEG UL
   [Anonymous], 2000, INT WAT RES MAN
   Autoridad Nacional de Agua (ANA), 2012, DIAGN GEST REC HIDR, P1
   Autoridad Nacional de Agua (ANA), 2015, FORM DER US AG POBL
   Bakker K, 2007, ANTIPODE, V39, P430, DOI 10.1111/j.1467-8330.2007.00534.x
   Bauer CJ, 2015, WATER ALTERN, V8, P147
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Biswas AK, 2004, WATER INT, V29, P248, DOI 10.1080/02508060408691775
   Blomquist W, 2005, SOC NATUR RESOUR, V18, P101, DOI 10.1080/08941920590894435
   Boelens R, 2005, DEV CHANGE, V36, P735, DOI 10.1111/j.0012-155X.2005.00432.x
   Boelens R, 2012, AGR WATER MANAGE, V108, P16, DOI 10.1016/j.agwat.2011.06.013
   Boelens R, 2009, DEV CHANGE, V40, P307, DOI 10.1111/j.1467-7660.2009.01516.x
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Camargo A, 2017, POLIT GEOGR, V60, P57, DOI 10.1016/j.polgeo.2017.04.003
   CapNet: UNDP, 2009, IWRM TOOL AD CLIM CH, P1
   Roa-García MC, 2015, GEOFORUM, V64, P270, DOI 10.1016/j.geoforum.2013.12.002
   Cheng G., 2015, La Revista Agraria, V171, P13
   Conca Ken., 2006, GOVERNING WATER CONT
   Crabtree J, 2002, J PEASANT STUD, V29, P131, DOI 10.1080/03066150412331311049
   Cruzado Silveri E, 2001, COMUNIDAD CAMPESINA
   De Vos H, 2006, INT J WATER RESOUR D, V22, P37, DOI 10.1080/07900620500405049
   e-Comercio Agrario (ADEX), 2016, PER AGR EXP GROW 8 2
   Eakin H, 2006, GLOBAL ENVIRON CHANG, V16, P7, DOI 10.1016/j.gloenvcha.2005.10.004
   Edwards G, 2015, POLIT SCI ENVIRON, P1
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Friedman M., 1963, CAPITALISM FREEDOM
   Giordano M, 2014, INT J WATER RESOUR D, V30, P364, DOI 10.1080/07900627.2013.851521
   Govers G., 2008, Geophysical Research Abstracts, V10
   Guevara-Gil A, 2010, OUT OF THE MAINSTREAM: WATER RIGHTS, POLITICS AND IDENTITY, P183
   Jeffrey P, 2006, WATER SCI TECHNOL, V53, P1, DOI 10.2166/wst.2006.001
   Jensen KM, 2013, WATER ALTERN, V6, P276
   Jonas AEG, 2003, SOC SCI QUART, V84, P958, DOI 10.1046/j.0038-4941.2003.08404010.x
   Julien H., 2008, SAGE ENCY QUALITATIV, VVI, P120, DOI DOI 10.4135/9781412963909
   Kay C, 2008, DEV CHANGE, V39, P915, DOI 10.1111/j.1467-7660.2008.00518.x
   La Gestion, 2016, CUATR AN 200000 HECT
   Lautze J, 2011, NAT RESOUR FORUM, V35, P1, DOI 10.1111/j.1477-8947.2010.01339.x
   Liverman DM, 2006, ANNU REV ENV RESOUR, V31, P327, DOI 10.1146/annurev.energy.29.102403.140729
   Lynch BD, 2019, WATER-SUI, V11, DOI 10.3390/w11030415
   Lynch BD, 2012, GLOBAL ENVIRON CHANG, V22, P364, DOI 10.1016/j.gloenvcha.2012.02.002
   Lynch BD, 2013, GEORGIA J INT COMP L, V42, P780
   McMichael P, 2006, NEW POLIT ECON, V11, P407, DOI 10.1080/13563460600841041
   Medema W, 2008, ECOL SOC, V13
   Mehta L., 2013, The limits to scarcity: Contesting the politics of allocation
   Mehta L, 2019, GEOFORUM, V101, P222, DOI 10.1016/j.geoforum.2018.10.027
   Ministerio de Agricultura (MINAGRI), N9 MINAGRI
   Ministerio de Agricultura (MINAGRI, N10 MINAGRI
   Mitchell A., 2014, Apropriarse del Desierto: Agricultura Globalizada y Dinamicas Socioambientales en la Costa Peruana
   Molle F., 2008, Water Alternatives, V1, P131
   Molle F, 2009, GEOFORUM, V40, P484, DOI 10.1016/j.geoforum.2009.03.004
   Mollinga Peter., 2004, The politics of irrigation reform
   Ore M.T., 2005, Agua: Bien Comun y Uso Privado
   Paprocki K, 2019, ANTIPODE, V51, P295, DOI 10.1111/anti.12421
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Peck J, 2007, PROG HUM GEOG, V31, P731, DOI 10.1177/0309132507083505
   Revesz B., 2012, Piura: Transformacion del territorio regional, in: Peru: El Problema Agrario en Debate, P718
   Robbins P., 2004, POLITICAL ECOLOGY CR
   Rubio B., 2003, Explotados y Excluidos: Los Campesinos Latinoamericanos en la Fase Agroexportadora Neolibral
   Saravanan VS, 2009, NAT RESOUR FORUM, V33, P76, DOI 10.1111/j.1477-8947.2009.01210.x
   Snyder R.O., 2001, POLITICS NEOLIBERALI
   Swyngedouw E, 2006, POWER WATER MONEY HU
   Oré MT, 2009, DEBATES SOCIOL, P32
   Urteaga P., 2011, AGUA RIEGO REV I PRO, V23, P8
   Usón TJ, 2017, GEOFORUM, V85, P247, DOI 10.1016/j.geoforum.2017.07.029
   VERZIJL Andres., 2007, Derechos de agua y autonomia local: analisis comparativo de los Andes peruanos y los Alpes suizos
   Ward L, 2013, GEOFORUM, V46, P91, DOI 10.1016/j.geoforum.2012.12.004
   Warner J, 2008, WATER POLICY, V10, P121, DOI 10.2166/wp.2008.210
   Watts M.J., 2000, A Companion to economic geography, P257, DOI 10.1002/9781405166430.ch16
   Weisser F, 2014, GEOGR J, V180, P111, DOI 10.1111/geoj.12037
NR 82
TC 5
Z9 7
U1 4
U2 29
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0889-048X
EI 1572-8366
J9 AGR HUM VALUES
JI Agric. Human Values
PD SEP
PY 2020
VL 37
IS 3
BP 667
EP 682
DI 10.1007/s10460-019-10008-5
EA DEC 2019
PG 16
WC Agriculture, Multidisciplinary; History & Philosophy Of Science;
   Sociology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; History & Philosophy of Science; Sociology
GA NR0AJ
UT WOS:000541918600001
DA 2025-01-10
ER

PT J
AU Rickards, L
   Howden, SM
AF Rickards, L.
   Howden, S. M.
TI Transformational adaptation: agriculture and climate change
SO CROP & PASTURE SCIENCE
LA English
DT Article
DE adaptation; agriculture; climate change; transformation
ID RESILIENCE; RETHINKING; TRANSITION; POLICY; MULTIFUNCTIONALITY;
   VULNERABILITY; CONSERVATION; GOVERNANCE; CHALLENGES; MIGRATION
AB Climate change presents the need and opportunity for what the Stern report called 'major, non-marginal change'. Such transformational adaptation is rapidly emerging as a serious topic in agriculture. This paper provides an overview of the topic as it applies to agriculture, focusing on the Australian situation. It does so by first defining transformational adaptation, distinguishing it from other more incremental but overlapping modes of climate change adaptation and positing its emergence in agriculture as a response to both drivers and opportunities. The multiple dimensions of transformational adaptation are highlighted before two types or cases are focussed upon in order to tease out issues and highlight two major examples of transformation in agriculture in the past. Four key issues about climate change adaptation in agriculture particularly pertinent for transformational adaptation are then reviewed: the identification, level, distribution and management of the costs of adaptation; the definition, potential for and need to avoid maladaptation; the capacity demands that this level of adaptation presents; and the role of government in adaptation. Overall, transformational adaptation poses potential great gains but also great risks. It reinforces the realisation that agricultural research can no longer remain insulated from off-farm, non-science or non-agricultural knowledge or processes. Support and guidance of transformational adaptation requires that we understand how Australian agriculture is currently, and could be, positioned within the landscape, rural communities, and broader social, political and cultural environment.
C1 [Rickards, L.] Univ Melbourne, Melbourne Sch Land & Environm, Carlton, Vic 2010, Australia.
   [Howden, S. M.] CSIRO, Adapt Primary Ind Enterprises & Communities, Climate Adaptat Natl Res Flagship, Canberra, ACT 2911, Australia.
C3 University of Melbourne; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Rickards, L (corresponding author), Univ Melbourne, Melbourne Sch Land & Environm, Level 1,221 Bouverie St, Carlton, Vic 2010, Australia.
EM lauren.rickards@unimelb.edu.au
RI Howden, Stuart/C-1138-2008
OI Howden, Stuart/0000-0002-0386-9671; Rickards, Lauren/0000-0001-6088-3448
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alexandra J, 2007, FUTURES, V39, P324, DOI 10.1016/j.futures.2006.04.002
   Allison HE, 2004, ECOL SOC, V9
   Anderies JM, 2006, ECOSYSTEMS, V9, P865, DOI 10.1007/s10021-006-0017-1
   Anderson K, 2003, T I BRIT GEOGR, V28, P422, DOI 10.1111/j.0020-2754.2003.00102.x
   [Anonymous], PADDOCK PLATE FOOD F
   [Anonymous], 2007, EC CLIMATE
   [Anonymous], 2010, Australia and Food security in a changing world: Can we feed ourselves and help feed the world in the future?
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2012, CRITICAL BREAKING PO
   [Anonymous], 1969, AUSTR NATURAL HIST
   [Anonymous], NATURE
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Bailey I, 2009, ENVIRON PLANN A, V41, P2324, DOI 10.1068/a40342
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barr Neil., 2009, The House on the Hill: The Transformation of Australias Farming Communities
   Bebbington J, 2011, ACHIEVING FOOD SECUR
   Beck U, 2006, ECON SOC, V35, P329, DOI 10.1080/03085140600844902
   Black R, 2011, ENVIRON PLANN A, V43, P431, DOI 10.1068/a43154
   Botterill LC, 2003, AUST J POLIT HIST, V49, P61, DOI 10.1111/1467-8497.00281
   Brussaard L, 2010, CURR OPIN ENV SUST, V2, P34, DOI 10.1016/j.cosust.2010.03.007
   Burton RJF, 2011, J RURAL STUD, V27, P95, DOI 10.1016/j.jrurstud.2010.11.001
   Cocklin C, 2006, GEOGR J, V172, P197, DOI 10.1111/j.1475-4959.2006.00206.x
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Cork S, 2010, RESILIENCE AND TRANSFORMATION: PREPARING AUSTRALIA FOR UNCERTAIN FUTURES, P1
   Cork S, 2010, RAPID SURPRISING CHA
   Cork S, 2010, RESILIENCE AND TRANSFORMATION: PREPARING AUSTRALIA FOR UNCERTAIN FUTURES, P131
   Costanza R, 2001, BIOSCIENCE, V51, P459, DOI 10.1641/0006-3568(2001)051[0459:VVVATN]2.0.CO;2
   Cribb J, 2010, COMING FAMINE: THE GLOBAL FOOD CRISIS AND WHAT WE CAN DO TO AVOID IT, P1
   Davies S., 2009, The Earthscan Reader on Adaptation to Climate Change, P99
   Dolata U, 2009, RES POLICY, V38, P1066, DOI 10.1016/j.respol.2009.03.006
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Fankhauser S, 2010, WIRES CLIM CHANGE, V1, P23, DOI 10.1002/wcc.14
   Fedoroff NV, 2010, SCIENCE, V327, P833, DOI 10.1126/science.1186834
   Ferrell AK, 2012, AGR HUM VALUES, V29, P137, DOI 10.1007/s10460-011-9330-1
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P19
   Fresco LO, 2009, ENVIRON SCI POLICY, V12, P378, DOI 10.1016/j.envsci.2008.11.001
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Gelcich S, 2010, P NATL ACAD SCI USA, V107, P16794, DOI 10.1073/pnas.1012021107
   Gibson K, 2010, T I BRIT GEOGR, V35, P237, DOI 10.1111/j.1475-5661.2009.00378.x
   Gooch M, 2010, AUST GEOGR, V41, P507, DOI 10.1080/00049182.2010.519698
   Green K., 2003, Journal of Environmental Policy and Planning, V5, P145, DOI 10.1080/1523908032000121175
   Greenhill J, 2009, RURAL SOC, V19, P318, DOI 10.5172/rsj.351.19.4.318
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   HANDMER JW, 1996, IND ENV CRISIS Q, V9, P482, DOI DOI 10.1177/108602669600900403
   Horlings LG, 2011, GLOBAL ENVIRON CHANG, V21, P441, DOI 10.1016/j.gloenvcha.2011.01.004
   Howden M., 2010, Managing climate change: papers from the GREENHOUSE 2009 Conference, P101
   Howden SM, 2008, AUST J EXP AGR, V48, P780, DOI 10.1071/EA08033
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Howden SM, 2009, ADAPTING AGR CLIMATE, P1
   Inayatullah S, 2008, FORESIGHT, V10, P4, DOI 10.1108/14636680810855991
   Inderberg TH, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P433
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Jones R. H, 2010, USE SCENARIOS ADAPTA
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   King D., 2009, The resilience and mental health and wellbeing of farm families experiencing climate variation in South Australia (Final Report). Retrieved fro the National Institute of Labour Studies Incorporated, Adelaide
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Leggewie C, 2010, J RENEW SUSTAIN ENER, V2, DOI 10.1063/1.3384314
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Lobao L, 2001, ANNU REV SOCIOL, V27, P103, DOI 10.1146/annurev.soc.27.1.103
   Marshall NA, 2010, GLOBAL ENVIRON CHANG, V20, P36, DOI 10.1016/j.gloenvcha.2009.10.003
   Martin P, 2011, DEFENDING THE SOCIAL LICENCE OF FARMING: ISSUES, CHALLENGES AND NEW DIRECTIONS FOR AGRICULTURE, P195
   McKeon G., 2004, PASTURE DEGRADATION
   McKeon G. M., 1993, Grasslands for our world., P426
   McLeman RA, 2010, WIRES CLIM CHANGE, V1, P450, DOI 10.1002/wcc.51
   McNeall D, 2011, WIRES CLIM CHANGE, V2, P663, DOI 10.1002/wcc.130
   Meert H, 2005, J RURAL STUD, V21, P81, DOI 10.1016/j.jrurstud.2004.08.007
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nelson G.C., 2009, Agriculture and Climate Change: An Agenda for Negotiation in Copenhagen
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nelson R, 2011, AUSTR EC SOC ANN C 1
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   New M, 2011, PHILOS T R SOC A, V369, P6, DOI 10.1098/rsta.2010.0303
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Brien K, 2009, ECOL SOC, V14
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Orlove B, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P131
   Pannell DJ, 2006, AUST J EXP AGR, V46, P1407, DOI 10.1071/EA05037
   Pannell D.J., 2010, Policy for Climate Change Adaptation in Agriculture
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Parry ML, 2007, 4 INT PAN CLIM CHANG
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   PHAA (Public Health Association Australia), 2009, FUT FOOD ADDR PUBL H
   Pittock J, 2009, CLIM DEV, V1, P194, DOI 10.3763/cdev.2009.0021
   Potter C, 2005, PROG HUM GEOG, V29, P581, DOI 10.1191/0309132505ph569oa
   Rahmstorf S, 2007, SCIENCE, V316, P709, DOI 10.1126/science.1136843
   Rickards L., 2006, THESIS U OXFORD UK
   Robinson GM, 2009, GEOGR COMPASS, V3, P1757, DOI 10.1111/j.1749-8198.2009.00268.x
   Russill C, 2009, GLOBAL ENVIRON CHANG, V19, P336, DOI 10.1016/j.gloenvcha.2009.04.001
   Schipper E. L. F., 2009, EARTHSCAN READER ADA, P229
   Simpson S, 2010, AUSTRALAS AGRIBUS RE, V18, P30
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Sounness C, 2011, CLIM CHANG RES STRAT
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Tarnoczi T, 2011, MITIG ADAPT STRAT GL, V16, P387, DOI 10.1007/s11027-010-9265-7
   Walker BH, 2009, ECOL SOC, V14
   WGBU German Advisory Council on Global Change, 2011, WORLD TRANS SOC CONT
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Wilson GA, 2007, MULTIFUNCTIONAL AGRICULTURE: A TRANSITION THEORY PERSPECTIVE, P1, DOI 10.1079/9781845932565.0000
   Wilson GA, 2008, J RURAL STUD, V24, P367, DOI 10.1016/j.jrurstud.2007.12.010
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
NR 106
TC 283
Z9 317
U1 12
U2 325
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 240
EP 250
DI 10.1071/CP11172
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA 948FT
UT WOS:000304489700007
OA hybrid
DA 2025-01-10
ER

PT J
AU Liu, YN
   Chen, YL
   Zhang, ZJ
   Wu, FY
   Wang, HJ
   Wang, XL
   Liu, GQ
AF Liu, Yong-Nan
   Chen, Yu-Lin
   Zhang, Zi-Juan
   Wu, Feng-Yuan
   Wang, Hao-Jin
   Wang, Xiao-Ling
   Liu, Gao-Qiang
TI Phosphatidic acid directly activates mTOR and then regulates SREBP to
   promote ganoderic acid biosynthesis under heat stress in <i>Ganoderma
   lingzhi</i>
SO COMMUNICATIONS BIOLOGY
LA English
DT Article
ID LANOSTANE-TYPE TRITERPENOIDS; PHOSPHOLIPASE-D; SMALL-MOLECULE; LUCIDUM;
   TRANSCRIPTION; CHOLESTEROL; DOMAIN; IDENTIFICATION; LOCALIZATION;
   TRANSPORT
AB Ganoderic acids (GAs), a class of secondary metabolites produced by the traditional medicinal mushroom Ganoderma, are a group of triterpenoids with superior biological activities. Heat stress (HS) is one of the most important environmental abiotic stresses. Understanding how organisms sense temperature and integrate this information into their metabolism is important for determining how organisms adapt to climate change and for applying this knowledge to breeding. We previously reported that HS induced GA biosynthesis, and phospholipase D (PLD)-mediated phosphatidic acid (PA) was involved in HS-induced GA biosynthesis. We screened a proteome to identify the PA-binding proteins in G. lingzhi. We reported that PA directly interacted with mTOR and positively correlated with the ability of mTOR to promote GA biosynthesis under HS. The PA-activated mTOR pathway promoted the processing of the transcription factor sterol regulatory element-binding protein (SREBP) under HS, which directly activated GA biosynthesis. Our results suggest that SREBP is an intermediate of the PLD-mediated PA-interacting protein mTOR in HS-induced GA biosynthesis. Our report established the link between PLD-mediated PA production and the activation of mTOR and SREBP in the HS response and HS-induced secondary metabolism in filamentous fungi.
   A study on how organisms sense temperature and integrate this into their metabolism suggests that PLD-mediated PA directly activates mTOR and regulates SREBP to promote the transcription of target genes and GA biosynthesis under heat in G. lingzhi.
C1 [Liu, Yong-Nan; Chen, Yu-Lin; Zhang, Zi-Juan; Wu, Feng-Yuan; Wang, Hao-Jin; Wang, Xiao-Ling; Liu, Gao-Qiang] Cent South Univ Forestry & Technol, Hunan Prov Key Lab Forestry Biotechnol & Int Coope, Changsha, Peoples R China.
   [Liu, Yong-Nan; Chen, Yu-Lin; Zhang, Zi-Juan; Wu, Feng-Yuan; Wang, Hao-Jin; Wang, Xiao-Ling; Liu, Gao-Qiang] Lab Yuelushan Seed Ind, Changsha, Peoples R China.
C3 Central South University of Forestry & Technology
RP Liu, YN; Liu, GQ (corresponding author), Cent South Univ Forestry & Technol, Hunan Prov Key Lab Forestry Biotechnol & Int Coope, Changsha, Peoples R China.; Liu, YN; Liu, GQ (corresponding author), Lab Yuelushan Seed Ind, Changsha, Peoples R China.
EM ynliu@csuft.edu.cn; gaoliuedu@csuft.edu.cn
OI Liu, Gao-Qiang/0000-0001-9620-1752; Liu, Yong-Nan/0000-0002-4005-0868
FU National Natural Science Foundation of China (31900027, 32071673 and
   32471816), the China Postdoctoral Science Foundation (2020M682601), the
   Science and Technology Innovation Program of Hunan Province (2023RC3157
   and 2021RC4063), the Natural Science Founda [31900027, 32071673,
   32471816]; National Natural Science Foundation of China [2020M682601];
   China Postdoctoral Science Foundation [2023RC3157, 2021RC4063]; Science
   and Technology Innovation Program of Hunan Province [2024JJ5629];
   Natural Science Foundation of Hunan Province [22A0188, 23A0229];
   Scientific Research Fund of Hunan Provincial Education Department, China
   [kq2402252]; Natural Science Foundation of Changsha (Science and
   Technology Plan Project of Changsha) [CX20240688]; Hunan Provincial
   Innovation Foundation for Postgraduates
FX This work was supported by grants from National Natural Science
   Foundation of China (31900027, 32071673 and 32471816), the China
   Postdoctoral Science Foundation (2020M682601), the Science and
   Technology Innovation Program of Hunan Province (2023RC3157 and
   2021RC4063), the Natural Science Foundation of Hunan Province
   (2024JJ5629), the Scientific Research Fund of Hunan Provincial Education
   Department, China (No. 22A0188 and 23A0229), the Natural Science
   Foundation of Changsha (Science and Technology Plan Project of Changsha,
   kq2402252), and the Hunan Provincial Innovation Foundation for
   Postgraduates(CX20240688).
CR Calviño E, 2010, J ETHNOPHARMACOL, V128, P71, DOI 10.1016/j.jep.2009.12.027
   Camargo DCR, 2012, BIOCHEMISTRY-US, V51, P4909, DOI 10.1021/bi3002133
   Chen YH, 2003, ONCOGENE, V22, P3937, DOI 10.1038/sj.onc.1206565
   Cui J, 2023, BIOMED ENVIRON SCI, V36, P103, DOI 10.3967/bes2023.011
   DeBose-Boyd RA, 1999, CELL, V99, P703, DOI 10.1016/S0092-8674(00)81668-2
   Dogliotti G, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15747
   Espenshade PJ, 2006, J CELL SCI, V119, P973, DOI 10.1242/jcs02866
   Fang YM, 2001, SCIENCE, V294, P1942, DOI 10.1126/science.1066015
   Foster DA, 2013, TRENDS ENDOCRIN MET, V24, P272, DOI 10.1016/j.tem.2013.02.003
   Frias MA, 2020, J BIOL CHEM, V295, P263, DOI 10.1074/jbc.RA119.010892
   Jang JH, 2012, PROG LIPID RES, V51, P71, DOI 10.1016/j.plipres.2011.12.003
   Jiang LY, 2023, GENE, V862, DOI 10.1016/j.gene.2023.147252
   Jungmichel S, 2014, CELL REP, V6, P578, DOI 10.1016/j.celrep.2013.12.038
   Kamisuki S, 2009, CHEM BIOL, V16, P882, DOI 10.1016/j.chembiol.2009.07.007
   Kan Y, 2023, MOL PLANT, V16, P1612, DOI 10.1016/j.molp.2023.09.013
   Kerbler SM, 2023, ANNU REV PLANT BIOL, V74, P341, DOI 10.1146/annurev-arplant-102820-102235
   Kim SC, 2019, PLANT CELL, V31, P399, DOI 10.1105/tpc.18.00675
   Kober DL, 2020, P NATL ACAD SCI USA, V117, P28080, DOI 10.1073/pnas.2018578117
   Li Y, 2024, EUR J MED CHEM, V270, DOI 10.1016/j.ejmech.2024.116367
   Liang CY, 2019, EUR J MED CHEM, V174, P130, DOI 10.1016/j.ejmech.2019.04.039
   Liu R, 2018, REDOX BIOL, V16, P388, DOI 10.1016/j.redox.2018.03.018
   Liu YN, 2023, COMMUN BIOL, V6, DOI 10.1038/s42003-022-04154-6
   Liu YN, 2018, ENVIRON MICROBIOL, V20, P2456, DOI 10.1111/1462-2920.14254
   Liu YN, 2017, ENVIRON MICROBIOL, V19, P4657, DOI 10.1111/1462-2920.13928
   Lv XC, 2022, FOOD FUNCT, V13, P5820, DOI [10.1039/d1fo03219d, 10.1039/D1FO03219D]
   Mishkind M, 2009, PLANT J, V60, P10, DOI 10.1111/j.1365-313X.2009.03933.x
   Owen JL, 2012, P NATL ACAD SCI USA, V109, P16184, DOI 10.1073/pnas.1213343109
   Peterson TR, 2011, CELL, V146, P408, DOI 10.1016/j.cell.2011.06.034
   Pokotylo I, 2018, PROG LIPID RES, V71, P43, DOI 10.1016/j.plipres.2018.05.003
   Quan YZ, 2024, ATHEROSCLEROSIS, V391, DOI 10.1016/j.atherosclerosis.2024.117478
   Quinn WJ, 2012, P NATL ACAD SCI USA, V109, P15974, DOI 10.1073/pnas.1214113109
   Radhakrishnan A, 2008, CELL METAB, V8, P512, DOI 10.1016/j.cmet.2008.10.008
   Rawson RB, 2003, NAT REV MOL CELL BIO, V4, P631, DOI 10.1038/nrm1174
   Ren A, 2019, FUNGAL GENET BIOL, V128, P43, DOI 10.1016/j.fgb.2019.03.009
   Ren A, 2014, BIOTECHNOL LETT, V36, P2529, DOI 10.1007/s10529-014-1636-9
   Ren A, 2010, BIORESOURCE TECHNOL, V101, P6785, DOI 10.1016/j.biortech.2010.03.118
   Robichon C, 2007, BIOCHIMIE, V89, P260, DOI 10.1016/j.biochi.2006.09.015
   SABATINI DM, 1994, CELL, V78, P35, DOI 10.1016/0092-8674(94)90570-3
   Sato N, 2009, CHEM PHARM BULL, V57, P1076, DOI 10.1248/cpb.57.1076
   Shiao MS, 2003, CHEM REC, V3, P172, DOI 10.1002/tcr.10058
   Stewart EV, 2011, MOL CELL, V42, P160, DOI 10.1016/j.molcel.2011.02.035
   Takahara T, 2012, MOL CELL, V47, P242, DOI 10.1016/j.molcel.2012.05.019
   Tanguy E, 2019, FRONT CELL NEUROSCI, V13, DOI 10.3389/fncel.2019.00002
   Testerink C, 2007, J EXP BOT, V58, P3905, DOI 10.1093/jxb/erm243
   Toschi A, 2009, MOL CELL BIOL, V29, P1411, DOI 10.1128/MCB.00782-08
   Veverka V, 2008, ONCOGENE, V27, P585, DOI 10.1038/sj.onc.1210693
   Willger SD, 2012, EUKARYOT CELL, V11, P1557, DOI 10.1128/EC.00252-12
   Xie LJ, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005143
   Xu JW, 2010, APPL MICROBIOL BIOT, V85, P941, DOI 10.1007/s00253-009-2106-5
   Yao HY, 2013, PLANT CELL, V25, P5030, DOI 10.1105/tpc.113.120162
   Yecies JL, 2011, CELL METAB, V14, P21, DOI 10.1016/j.cmet.2011.06.002
   Yi JM, 2020, P NATL ACAD SCI USA, V117, P31189, DOI 10.1073/pnas.2017152117
   Yip CK, 2010, MOL CELL, V38, P768, DOI 10.1016/j.molcel.2010.05.017
   Yoshihara T, 2013, ACTA PHYSIOL, V207, P416, DOI 10.1111/apha.12040
   You BJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-00281-x
   Yu ZR, 2020, ACTA PHARMACOL SIN, V41, P516, DOI 10.1038/s41401-020-0356-z
   Yuan W, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35500-1
   Zhang DH, 2017, J AGR FOOD CHEM, V65, P4683, DOI 10.1021/acs.jafc.7b00629
   Zhang GM, 2018, CELL, V174, P1492, DOI 10.1016/j.cell.2018.08.006
   Zhang JM, 2014, PROCESS BIOCHEM, V49, P1580, DOI 10.1016/j.procbio.2014.06.018
   Zhang X, 2016, APPL ENVIRON MICROB, V82, P4112, DOI 10.1128/AEM.01036-16
   Zhang YY, 2009, PLANT CELL, V21, P2357, DOI 10.1105/tpc.108.062992
   Zhao XR, 2016, PHYTOCHEM LETT, V16, P87, DOI 10.1016/j.phytol.2016.03.007
NR 63
TC 0
Z9 0
U1 5
U2 5
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2399-3642
J9 COMMUN BIOL
JI Commun. Biol.
PD NOV 13
PY 2024
VL 7
IS 1
AR 1503
DI 10.1038/s42003-024-07225-y
PG 13
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA M0H2S
UT WOS:001354435700003
PM 39537975
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Abdoussalami, A
   Hu, ZH
   Islam, AMT
   Djae, BA
AF Abdoussalami, Andlia
   Hu, Zhenghua
   Islam, Abu Reza Md. Towfiqul
   Djae, Bouhari Ahamada
TI Role of social network on banana farmer's adaptation to climate change
   and land productivity in Ngazidja island, Comoros archipelago
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Climate change; Ngazidja Island; Adaptation strategy; Comoros
   archipelago; Land productivity
ID STRATEGIES; INFORMATION; MITIGATION; KNOWLEDGE
AB Climate change in developing nations has become a severe obstacle to extensive land productivity. Farmer's resilience to climate change impact can be boosted via adaptation measures. Smallholder farmers' expertise, however, can be fragmented and inconsistent, especially in times of climatic stress. It is worth mentioning that social networks play a part in how farmers decide how to adapt. Formal and informal social ties are the categories we use to categorize social networks. Using primary data obtained from banana growers on the island of Ngazidja in the Comoros archipelago, this study need to analyze the variable effects of social ties on farmers' adaptation decisions and further assess the impact of adaptation strategies on land productivity under climate change. According to the findings, less than 32% of banana growers used adaptation measures to lessen the effects of climate change on agricultural practices. Banana producers favored replanting trees, boosting sucker reduction, improving irrigation, and mixing crops. Farmers applied adaptation tactics at a higher rate when they were members of agricultural cooperatives and connected to sellers of agricultural inputs. The connection to local farmers, on the other hand, prevented farmers from taking proactive measures to counteract climate change. We also revealed that banana producers' land production increased dramatically due to adaptation measures. These results illustrate the significance of smallholder farmers' various social connections when formulating a policy package to improve land productivity and increase their responses to climate change.
C1 [Abdoussalami, Andlia; Hu, Zhenghua] Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Nanjing, Peoples R China.
   [Hu, Zhenghua] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Appl Meteorol, Nanjing, Peoples R China.
   [Islam, Abu Reza Md. Towfiqul] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
   [Djae, Bouhari Ahamada] Comoros Univ, Dept Earth & Environm Sci, Moroni, Comoros.
C3 Nanjing University of Information Science & Technology; Nanjing
   University of Information Science & Technology
RP Hu, ZH (corresponding author), Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Nanjing, Peoples R China.; Hu, ZH (corresponding author), Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Appl Meteorol, Nanjing, Peoples R China.; Islam, AMT (corresponding author), Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
EM zhhu@nuist.edu.cn; towfiq_dm@brur.ac.bd
RI Islam, Abu Reza Md. Towfiqul/O-8554-2019
CR ABDOUSSALAMI A, 2023, ENVIRON DEV SUSTAIN, P1
   Abid M, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100200
   Andlia A., 2022, ASIAN J PLANT SOIL S
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Campbell, 2021, UN COM EST 4 WEATH S
   Chakraborty U., 2017, Journal of Promotion Management, V24, P57, DOI DOI 10.1080/10496491.2017.1346541
   Doran EMB, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111304
   Dube K., 2021, Cyclones in Southern Africa: Volume 2: Foundational and Fundamental Topics, P19, DOI [DOI 10.1007/978-3-030-74262-1_2, 10.1007/978-3-030-74262-1_2]
   Esfandiari M, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104628
   Faisal M, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100358
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Housseni H., 2021, J XIAN SHIYOU U
   IFRC, 2020, COM TROP CYCL KENN E
   Ingold K, 2017, ECOL ECON, V131, P414, DOI 10.1016/j.ecolecon.2016.08.033
   International Monetary Fund, 2013, IMF STAFF COUNTR REP
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Macrotrends, 2023, COM POP 1950 2023
   Moniruzzaman S, 2015, ECOL ECON, V118, P90, DOI 10.1016/j.ecolecon.2015.07.012
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   Nthambi M, 2021, ECOL ECON, V179, DOI 10.1016/j.ecolecon.2020.106831
   Ojo TO, 2021, J CLEAN PROD, V310, DOI 10.1016/j.jclepro.2021.127373
   Pradeepkiran JA, 2019, TRANSL ANIM SCI, V3, P903, DOI 10.1093/tas/txz012
   Quiroga S, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104733
   Rahman S, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104507
   Sahu NC, 2013, APCBEE PROC, V5, P123, DOI 10.1016/j.apcbee.2013.05.022
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Shikuku KM, 2019, WORLD DEV, V115, P94, DOI 10.1016/j.worlddev.2018.11.012
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Stricevic R, 2020, ECOL INDIC, V116
   Swami D, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110487
   Takakura J, 2019, NAT CLIM CHANGE, V9, P894, DOI 10.1038/s41558-019-0617-3
   Tejada J., 2012, The Philippine Statistician Journal, V61, P129
   The World Bank, 2020, WORLD BANK GROUP ANN
   Nguyen TPL, 2019, J RURAL STUD, V67, P46, DOI 10.1016/j.jrurstud.2019.02.005
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tran TA, 2019, AGR WATER MANAGE, V216, P89, DOI 10.1016/j.agwat.2019.01.020
   Union of Comoros, 2019, IMF STAFF COUNTR REP
   Vose James M., 2012, EFF CLIM VAR CHANG F
   Worldometer, 2023, POP COM
   Zhang HL, 2018, LAND USE POLICY, V79, P424, DOI 10.1016/j.landusepol.2018.07.030
   Zhang MY, 2022, ECOL INDIC, V137, DOI 10.1016/j.ecolind.2022.108730
NR 43
TC 1
Z9 2
U1 0
U2 7
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 2024
VL 26
IS 9
BP 23867
EP 23888
DI 10.1007/s10668-023-03626-x
EA JUL 2023
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA D4Y2L
UT WOS:001033723400008
DA 2025-01-10
ER

PT J
AU Ramyar, R
   Zarghami, E
   Bryant, M
AF Ramyar, Reza
   Zarghami, Esmaeil
   Bryant, Margaret
TI Spatio-temporal planning of urban neighborhoods in the context of global
   climate change: Lessons for urban form design in Tehran, Iran
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban form; Climate change; Numerical model; Tehran; Microclimate
ID OUTDOOR THERMAL COMFORT; HEAT-ISLAND; STREET CANYON; GREEN
   INFRASTRUCTURE; ASPECT RATIO; LAND-USE; MITIGATION; MICROCLIMATE;
   SPACES; WATER
AB There is a growing concern in recent years about temperature rise resulting from climate change, especially in high-density urban areas, where it is exacerbated in urban heat islands (UHI). In hot and dry climates, this concern makes it necessary to find a practical solution to adapt to climate change. Rapidly developed cities with large populations, due to ignoring the creation of UHI in planning, mostly have fallen into severe trouble. So, finding the influence of decisions' impacts on urban climate before implementing them would inform planners about the consequences of their decisions. Advanced 3D-4D numerical models like ENVI-met are becoming a frequent way of investigating climatic impacts of decisions and regulations. However, full-scale modeling of a neighborhood or a city cannot be widely possible at present. Therefore, a practical solution is simplification of small-scale models to calculate the consequences of decisions in developments. In this study, we systematically propose some solutions for cooling urban neighborhoods, and then, after analyzing them, possible scenarios for UHI mitigation are presented. The goal is to find the most effective urban form and design strategies across a typical range of Tehran urban development at a high-density urban fabric. Our results provide insight into the impact of urban form and design on microclimate in hotter and drier future cities by considering water shortage and utilizing mitigation strategies.
C1 [Ramyar, Reza; Bryant, Margaret] SUNY Coll Environm Sci & Forestry, Syracuse, NY 13210 USA.
   [Ramyar, Reza; Zarghami, Esmaeil] Shahid Rajaee Teacher Training Univ, Tehran, Iran.
C3 State University of New York (SUNY) System; State University of New York
   (SUNY) College of Environmental Science & Forestry; Shahid Rajaee
   Teacher Training University (SRTTU)
RP Ramyar, R (corresponding author), SUNY Coll Environm Sci & Forestry, Syracuse, NY 13210 USA.
EM rramyar@esf.edu
RI ramyar, reza/AAF-4864-2019
OI Ramyar, Reza/0000-0003-1847-5891; Zarghami, Esmaeil/0000-0002-2398-3041
CR Ahmed KS, 2003, ENERG BUILDINGS, V35, P103, DOI 10.1016/S0378-7788(02)00085-3
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   Ali-Toudert F, 2007, SOL ENERGY, V81, P742, DOI 10.1016/j.solener.2006.10.007
   [Anonymous], HELP SYSTEM
   [Anonymous], P 33 EUR ASS REM SEN
   [Anonymous], J ISLAMIC ARCHITECTU
   [Anonymous], 1996, Geo-Space Urban Design
   [Anonymous], GEOGR RES Q J
   [Anonymous], 2013, J CLEAN ENERGY TECHN
   [Anonymous], 2013, CLIMATE CHANGE 2013
   [Anonymous], POLISH J ENV STUD
   [Anonymous], 2013, THESIS
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Barghjelveh S, 2012, INT J ARCHITECTURE U, V1, P5
   Bokaie M, 2016, SUSTAIN CITIES SOC, V23, P94, DOI 10.1016/j.scs.2016.03.009
   Cai Z, 2018, SUSTAIN CITIES SOC, V39, P487, DOI 10.1016/j.scs.2018.02.033
   CElik C. E. A. E, 2011, EFFECT URBAN GEOMETR
   Change IPOC, 2001, Climate change 2007: impacts, adaptation and vulnerability
   Chatzidimitriou A, 2017, SUSTAIN CITIES SOC, V33, P85, DOI 10.1016/j.scs.2017.05.019
   Coutts AM, 2016, THEOR APPL CLIMATOL, V124, P55, DOI 10.1007/s00704-015-1409-y
   Emmanuel R, 2007, CLIM RES, V34, P241, DOI 10.3354/cr00694
   Eskandari H, 2016, SOLID EARTH, V7, P905, DOI 10.5194/se-7-905-2016
   Farhadi H, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101448
   Georgescu M, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD016720
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Givoni Baruch., 1998, CLIMATE CONSIDERATIO
   Guhathakurta S, 2007, J AM PLANN ASSOC, V73, P317, DOI 10.1080/01944360708977980
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Jato-Espino D, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101427
   Kirn J. C, 2018, NATURAL RESOURCES EN, V32, P40
   Madanipour Ali., 1998, Tehran: The Making of a Metropolis
   Malakooti H., 2010, Meteorology and air-quality in a mega-city: application to Tehran, Iran
   Memon RA, 2011, ENVIRON FLUID MECH, V11, P465, DOI 10.1007/s10652-010-9202-z
   Mills G, 2006, THEOR APPL CLIMATOL, V84, P69, DOI 10.1007/s00704-005-0145-0
   Oke TR, 2006, THEOR APPL CLIMATOL, V84, P179, DOI [10.1007/s00704-005-0153-0, 10.1007/S00704-005-0153-0]
   OKE TR, 1984, ENERG BUILDINGS, V7, P1, DOI 10.1016/0378-7788(84)90040-9
   Oliveira S, 2011, BUILD ENVIRON, V46, P2186, DOI 10.1016/j.buildenv.2011.04.034
   Rad H. R, 2017, J REGIONAL PLANNING, V7
   Ramyar R, 2017, APPL ECOL ENV RES, V15, P1193, DOI 10.15666/aeer/1503_11931209
   Rapoport Amos., 2016, Human Aspects of Urban Form: Towards a Man-Environment Approach to Urban Form and Design
   Salata F, 2015, SUSTAINABILITY-BASEL, V7, P9012, DOI 10.3390/su7079012
   Samaali M, 2007, ATMOS RES, V85, P183, DOI 10.1016/j.atmosres.2006.12.005
   Santamouris M, 2011, SOL ENERGY, V85, P3085, DOI 10.1016/j.solener.2010.12.023
   Shahmohamadi P., 2010, WSEAS Transactions on Environment and Development, V6, P754
   Shashua-Bar L, 2012, BUILD ENVIRON, V57, P110, DOI 10.1016/j.buildenv.2012.04.019
   Shashua-Bar L, 2011, INT J CLIMATOL, V31, P1498, DOI 10.1002/joc.2177
   Shirzadi M, 2019, SUSTAIN CITIES SOC, V44, P27, DOI 10.1016/j.scs.2018.09.016
   Spronken-Smith RA, 1999, BOUND-LAY METEOROL, V93, P287, DOI 10.1023/A:1002001408973
   Srivanit M, 2013, INTEGRATED URBAN THE
   Stone B, 2006, ATMOS ENVIRON, V40, P3561, DOI 10.1016/j.atmosenv.2006.01.015
   Syrios K, 2008, INT J HEAT FLUID FL, V29, P364, DOI 10.1016/j.ijheatfluidflow.2007.05.008
   Takebayashi H, 2012, SOL ENERGY, V86, P2255, DOI 10.1016/j.solener.2012.04.019
   Tan Z, 2016, ENERG BUILDINGS, V114, P265, DOI 10.1016/j.enbuild.2015.06.031
   TERJUNG WH, 1980, BOUND-LAY METEOROL, V19, P93, DOI 10.1007/BF00120313
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   Wania A, 2012, J ENVIRON MANAGE, V94, P91, DOI 10.1016/j.jenvman.2011.06.036
   Yuan C., 2018, URBAN WIND ENV INTEG
   Zölch T, 2016, URBAN FOR URBAN GREE, V20, P305, DOI 10.1016/j.ufug.2016.09.011
NR 59
TC 35
Z9 35
U1 4
U2 67
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD NOV
PY 2019
VL 51
AR 101554
DI 10.1016/j.scs.2019.101554
PG 14
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA JI8WT
UT WOS:000493744700001
DA 2025-01-10
ER

PT J
AU Rakotoarison, N
   Raholijao, N
   Razafindramavo, LM
   Rakotomavo, ZAPH
   Rakotoarisoa, A
   Guillemot, JS
   Randriamialisoa, ZJ
   Mafilaza, V
   Ramiandrisoa, VAMP
   Rajaonarivony, R
   Andrianjafinirina, S
   Tata, V
   Vololoniaina, MC
   Rakotomanana, F
   Raminosoa, VM
AF Rakotoarison, Norohasina
   Raholijao, Nirivololona
   Razafindramavo, Lalao Madeleine
   Rakotomavo, Zo Andrianina Patrick Herintiana
   Rakotoarisoa, Alain
   Guillemot, Joy Shumake
   Randriamialisoa, Zazaravaka Jacques
   Mafilaza, Victor
   Ramiandrisoa, Voahanginirina Anne Marie Pierrette
   Rajaonarivony, Rhino
   Andrianjafinirina, Solonomenjanahary
   Tata, Venance
   Vololoniaina, Manuela Christophere
   Rakotomanana, Fanjasoa
   Raminosoa, Volahanta Malala
TI Assessment of Risk, Vulnerability and Adaptation to Climate Change by
   the Health Sector in Madagascar
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE Madagascar; assessment; health; climate trends; climate projections;
   climate-sensitive diseases; vulnerability; adaptation
AB Madagascar is cited as one of the most vulnerable countries to the effects of climate change, with significant impacts to the health of its population. In this study, the vulnerability of Madagascar's health sector to climate change was assessed and appropriate adaptation measures were identified. In order to assess climate risks, vulnerability and identify adaptation options, the Madagascar Ministry of Public Health as well as the National Meteorological and Hydrological Service worked in close collaboration with a team of local experts to conduct a literature review, field surveys, and analyses of current and future climate and health trends. Four climate-sensitive diseases of primary concern are described in the study: acute respiratory infections (ARI), diarrhea, malnutrition, and malaria. Baseline conditions of these four diseases from 2000 to 2014 show acute respiratory infections and diarrheal diseases are increasing in incidence; while incidence of malnutrition and malaria decreased over this period. To assess future impacts in Madagascar, this baseline information was used with climate projections for the two scenariosRCP 4.5 and RCP 8.5for the periods 2016-2035, 2036-2070 and 2071-2100. Future climate conditions are shown to exacerbate and increase the incidence of all four climate sensitive diseases. Further analysis of the exposure, sensitivity and adaptive capacity to the climate hazards suggests that the health sector in four regions of Madagascar is particularly vulnerable. The study recommends adaptation measures to improve the monitoring and early warning systems for climate sensitive diseases, as well as to reduce population vulnerability.
C1 [Rakotoarison, Norohasina; Razafindramavo, Lalao Madeleine; Mafilaza, Victor; Tata, Venance] Minist Publ Hlth Hlth & Environm Serv, Antananarivo 101, Madagascar.
   [Raholijao, Nirivololona; Rakotomavo, Zo Andrianina Patrick Herintiana; Ramiandrisoa, Voahanginirina Anne Marie Pierrette; Rajaonarivony, Rhino; Andrianjafinirina, Solonomenjanahary] Madagascar Natl Meteorol & Hydrol Serv, Antananarivo 101, Madagascar.
   [Rakotoarisoa, Alain] Minist Publ Hlth, Direct Hlth Surveillance & Epidemiol Surveillance, Antananarivo 101, Madagascar.
   [Guillemot, Joy Shumake] World Meteorol Joint Off, WHO, CH-2300 Geneva, Switzerland.
   [Vololoniaina, Manuela Christophere] Minist Publ Hlth, Emergency, Epidem & Disaster Response Serv, Antananarivo 101, Madagascar.
   [Rakotomanana, Fanjasoa] Pasteur Inst Madagascar, Antananarivo 101, Madagascar.
   [Raminosoa, Volahanta Malala] WHO, Madagascar Off, Antananarivo 101, Madagascar.
C3 World Health Organization; Pasteur Network; Institut Pasteur Madagascar;
   World Health Organization
RP Raholijao, N (corresponding author), Madagascar Natl Meteorol & Hydrol Serv, Antananarivo 101, Madagascar.
EM norohasinarakotoarison@gmail.com; niriraholijao@gmail.com;
   razafindramavolalaomadeleine@gmail.com; yandrianina@yahoo.fr;
   arissoa@gmail.com; jshumake-guillemot@wmo.int;
   zjrandriamialisoa@yahoo.fr; mafilaza57@gmail.com;
   voahangy_ramiandrisoa@yahoo.com; rajaonarivony@gmail.com;
   njafys@yahoo.fr; tata_ssenv@yahoo.fr; manuelachristophere@gmail.com;
   fanja@pasteur.mg; raminosoav@who.int
OI RAKOTOMANANA, Fanjasoa/0000-0002-3373-1075
FU GIZ (Deutsche Gesellschaft fur Internationale Zusammenarbeit)
FX This article is part of the report of the study entitled "Evaluation de
   la Vulnerabilite et de l'Adaptation du Secteur Sante au Changement
   Climatique a Madagascar (2016)". The study was funded by GIZ (Deutsche
   Gesellschaft fur Internationale Zusammenarbeit).
CR [Barros V.R. IPCC. IPCC.], 2014, CONTRIBUTION WORKING
   Bouley T., MADAGASCAR CLIMATE C
   Donque G., 1975, THESIS
   Githeko AK, 2000, B WORLD HEALTH ORGAN, V78, P1136
   Government of Madagascar, 2015, EV VULN AD SECT SANT
   GRIFFITHS JF, 1972, WORLD SURVEY CLIMATO, V10, P461
   Institut National de la Statistique (INSTAT), ICF MACR ENQ DEM SAN
   McMichael A.J., CLIMATE CHANGE HUMAN
   Ministry of Public Helath; World Health Organization, 2014, NAT HLTH AD PL UNPUB
   National Bureau of Catastrophic Risk Management and United Nations Development Programme (BNGRC et PNUD), PLAN REL RES DISTR P
   National Bureau of Catastrophic Risk Management (BNGRC), PLAN CONT NAT 2010 2
   Rakotomavo Z.A.P.H., 2015, TEND OBS FUT C UNPUB
   Ratsimamanga A., GESTION RISQUES NATU
   WHO, Protecting health from climate change: global research priorities
   Williams J.B., 1990, 144 ODNRI
   World Bank, OPP CHALL INCL RES G
NR 16
TC 13
Z9 14
U1 2
U2 30
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD DEC
PY 2018
VL 15
IS 12
AR 2643
DI 10.3390/ijerph15122643
PG 14
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 HI5XH
UT WOS:000456527000034
PM 30486244
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Sathyan, AR
   Funk, C
   Aenis, T
   Breuer, L
AF Sathyan, Archana Raghavan
   Funk, Christoph
   Aenis, Thomas
   Breuer, Lutz
TI Climate Vulnerability in Rainfed Farming: Analysis from Indian
   Watersheds
SO SUSTAINABILITY
LA English
DT Article
DE adaptive capacity; climate vulnerability; exposure; rainfed farming;
   sensitivity; watershed development programme
ID ADAPTIVE CAPACITY; CHANGE IMPACTS; ADAPTATION; FARMERS; VARIABILITY;
   RESILIENCE; SYSTEMS; POLICY; PERCEPTION; INDICATORS
AB India ranks first among the rainfed agricultural countries in the world. The impact of changing climate threatens rainfed food production as well as the food security of millions of people in the tropics and subtropics. The Government of India initiated Watershed Development Programmes (WDPs) for the overall development of these areas. We, therefore, established a comprehensive, location-specific, bottom-up tool to analyse and compare the climate vulnerability of watershed areas. For this, we deducted a new Climate Vulnerability Index for Rainfed Tropics (CVIRFT) to evaluate the potential effectiveness of programmes to adapt to climate change impacts. The CVIRFT comprises of three dimensions of vulnerability, i.e., adaptive capacity, exposure and sensitivity. These dimensions consist of ten major components and 59 indicators with emphasis on rainfed farming and WDP interventions. To test the tool, we collected primary data through household surveys (n = 215, split among three watershed communities) in Kerala. We show that there were strong variations in the exposure dimension, moderate in sensitivity and negligible in adaptive capacity across the watersheds. After analysing the major components under the dimensions, we suggest focusing on policy orientation towards redesigning of the WDPs with emphasis to economic diversification, livelihood strategies, social networking coupled with stakeholder participation, natural resource management and risk spread through credit and insurance flexibility. The CVIRFT is replicable to similar physio-geographic areas of rainfed farming, with the refinement of indicators suited to the locality.
C1 [Sathyan, Archana Raghavan; Breuer, Lutz] Justus Liebig Univ Giessen, Res Ctr Bio Syst Land Use & Nutr iFZ, Inst Landscape Ecol & Resources Management ILR, Heinrich Buff Ring 26-32, D-35392 Giessen, Germany.
   [Funk, Christoph] Justus Liebig Univ Giessen, Dept Stat & Econometr, Licherstr 64, D-35394 Giessen, Germany.
   [Aenis, Thomas] Humboldt Univ, Extens & Commun Grp, Luisenstr 53, D-10099 Berlin, Germany.
   [Breuer, Lutz] Justus Liebig Univ Giessen, Ctr Int Dev & Environm Res, Senckenbergstr 3, D-35390 Giessen, Germany.
C3 Justus Liebig University Giessen; Justus Liebig University Giessen;
   Humboldt University of Berlin; Justus Liebig University Giessen
RP Sathyan, AR (corresponding author), Justus Liebig Univ Giessen, Res Ctr Bio Syst Land Use & Nutr iFZ, Inst Landscape Ecol & Resources Management ILR, Heinrich Buff Ring 26-32, D-35392 Giessen, Germany.
EM Raghavan.S.Archana@agrar.uni-giessen.de;
   Christoph.Funk@wirtschaft.uni-giessen.de;
   thomas.aenis@agrar.hu-berlin.de; lutz.breuer@umwelt.uni-giessen.de
RI Raghavan Sathyan, Archana/AAY-1991-2021; Breuer, Lutz/C-6652-2013
OI Aenis, Thomas/0000-0002-1403-5779; Breuer, Lutz/0000-0001-9720-1076;
   Raghavan Sathyan, Archana/0000-0002-7526-4452; Funk,
   Christoph/0000-0001-7388-4415
FU Deutscher Akademischer Austauschdienst, Bonn, Germany [PKZ: 91538032,
   ST42]; Deutscher Akademischer Austauschdienst, Bonn, Germany
FX This research was funded by Deutscher Akademischer Austauschdienst,
   Bonn, Germany, grant number [ST42-for Development-Related Post Graduate
   Courses, 50,077,057 and PKZ: 91538032] and the APC was funded by
   [Deutscher Akademischer Austauschdienst, Bonn, Germany].
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Aggarwal PK, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P253, DOI 10.1007/978-90-481-9516-9_16
   Alemaw B.F., 2015, Am. J. Clim. Change, V4, P313, DOI [DOI 10.4236/AJCC.2015.44025, 10.4236/ajcc.2015.44025]
   [Anonymous], DET PROJ REP ESW WAT
   [Anonymous], 2016, AN STUD AGR KER
   [Anonymous], NAT INT COUNC IND IM
   [Anonymous], J ENV SCI DEV
   [Anonymous], 1999, DFID SUSTAINABLE LIV
   [Anonymous], KER STAT ACT PLAN CL
   [Anonymous], HUMAN DEV INDEX EXER
   [Anonymous], IMPACTS CLIMATE VARI
   [Anonymous], DET PROJ REP AKK WAT
   [Anonymous], ASSESSMENT ASPEN ECO
   [Anonymous], SEASONALITY RURAL LI
   [Anonymous], 2009, RAINFED AGR UNLOCKIN, DOI DOI 10.1079/9781845933890.0000
   [Anonymous], SURV LIV COND UTT PR
   [Anonymous], CLIMATE CHANGE AGR I
   [Anonymous], 2012, FIN REP MIN IRR WAT
   [Anonymous], 2016, REG ENVIRON CHANGE, DOI DOI 10.1007/s10113-015-0833-y
   [Anonymous], PENSION REFORM INDIA
   [Anonymous], P 2012 C 56 FREEM AU
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], P 16 ASA C ARM AUSTR
   [Anonymous], NAT ACT PLAN CLIM CH
   [Anonymous], ASSESSING VULNERABIL
   [Anonymous], IND HUM DEV SUR 2 IH
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], WRI ISSUE BRIEF
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Ashalatha K. V., 2012, International Journal of Environmental Science and Development, V3, P368
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Berger T, 2017, AGR ECON-BLACKWELL, V48, P693, DOI 10.1111/agec.12367
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Chaliha S, 2012, INT J CLIM CHANG STR, V4, P179, DOI 10.1108/17568691211223150
   CHAMBERS R, 1989, IDS BULL-I DEV STUD, V20, P1, DOI 10.1111/j.1759-5436.1989.mp20002001.x
   Chambers R., 1989, FARMER 1 FARMER INNO
   Chishakwe N., 2012, Building climate change adaptation on community experiences
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Eastin J, 2018, WORLD DEV, V107, P289, DOI 10.1016/j.worlddev.2018.02.021
   Eriksen S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P495, DOI [10.1007/s11027-006-3460-6, DOI 10.1007/S11027-006-3460-6]
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Frank J., 2012, Small-scale farmers and climate change. How can farmer organisations and Fairtrade build the adaptive capacity of smallholders?, P32
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hammond A. L., 1995, Environmental indicators: a systematic approach to measuring and reporting on environmental policy performance in the context of sustainable development, V36
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hochman Z, 2017, AGR SYST, V150, P54, DOI 10.1016/j.agsy.2016.10.001
   Idrisa Y. L., 2012, African Journal of Agricultural Research, V7, P3632
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Jose AM, 1996, WATER AIR SOIL POLL, V92, P191
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kerr J., 2007, INTERNAT J COMMONS, V1, P89, DOI [10.18352/ijc.8, DOI 10.18352/IJC.8]
   Krishnakumar KN, 2009, ATMOS ENVIRON, V43, P1940, DOI 10.1016/j.atmosenv.2008.12.053
   Krishnamurthy P., 2012, Climate impacts on food security and nutrition; A review of existing knowledge
   Phuong LTH, 2018, CLIM DEV, V10, P701, DOI 10.1080/17565529.2017.1411240
   Lebel L, 2013, MITIG ADAPT STRAT GL, V18, P1057, DOI 10.1007/s11027-012-9407-1
   Lobo C., 2017, Economic and Political Weekly, LII, V52, P53
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Moench M., 2004, Adaptive capacity and livelihood resilience-Adaptive strategies for responding to floods and droughts in South Asia
   Mongi H., 2010, African Journal of Environmental Science and Technology, V4, P371
   Morrison MC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0139196
   Murphy C, 2016, CLIMATIC CHANGE, V134, P101, DOI 10.1007/s10584-015-1498-8
   Nair A, 2014, ATMOS ENVIRON, V88, P123, DOI 10.1016/j.atmosenv.2014.01.061
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nidumolu UB, 2015, J AGR SCI-CAMBRIDGE, V153, P1380, DOI 10.1017/S0021859615000283
   Ogalleh SA, 2012, SUSTAINABILITY-BASEL, V4, P3302, DOI 10.3390/su4123302
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Pandey R, 2015, MITIG ADAPT STRAT GL, V20, P1471, DOI 10.1007/s11027-014-9556-5
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P20
   Piya L., 2012, P INT ASS AGR ECONOM, P18, DOI [10.22004/ag.econ.126191, DOI 10.22004/AG.ECON.126191]
   Poulton PL, 2016, FIELD CROP RES, V198, P160, DOI 10.1016/j.fcr.2016.09.008
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Raghavan Sathyan A., 2018, CLIM CHANGE RESPONSE, V5, P1, DOI DOI 10.1186/S40665-018-0037-Z
   Raj PPN, 2012, INT J CLIMATOL, V32, P533, DOI 10.1002/joc.2283
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Richardson KJ, 2018, CLIMATIC CHANGE, V147, P327, DOI 10.1007/s10584-018-2137-y
   Samuel A., 2015, WATERSHED DEV RESILI
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith N, 2013, GLOBAL ENVIRON CHANG, V23, P1009, DOI 10.1016/j.gloenvcha.2013.04.001
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Sullivan C, 2005, WATER SCI TECHNOL, V51, P69, DOI 10.2166/wst.2005.0111
   Tiburan C, 2013, PROCEDIA ENVIRON SCI, V17, P263, DOI 10.1016/j.proenv.2013.02.037
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Touch V, 2017, ENVIRON DEV SUSTAIN, V19, P1631, DOI 10.1007/s10668-016-9818-3
   Upgupta S, 2015, CLIM RISK MANAG, V10, P63, DOI 10.1016/j.crm.2015.08.002
   Venkateswarlu B., 2015, Climate Change Modelling, Planning and Policy for Agriculture, DOI [10.1007/978-81-322-2157-9_1, DOI 10.1007/978-81-322-2157-9_1]
   Vincent K., 2010, PEGNET C 2010 POLICI
   Walker J., 2001, Impact Assessment and Project Appraisal, V19, P297, DOI 10.3152/147154601781766925
   Wiréhn L, 2015, J ENVIRON MANAGE, V156, P70, DOI 10.1016/j.jenvman.2015.03.020
NR 98
TC 18
Z9 19
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2018
VL 10
IS 9
AR 3357
DI 10.3390/su10093357
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA GW3DA
UT WOS:000446770200400
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Tack, J
   Barkley, A
   Rife, TW
   Poland, JA
   Nalley, LL
AF Tack, Jesse
   Barkley, Andrew
   Rife, Trevor W.
   Poland, Jesse A.
   Nalley, Lawton Lanier
TI Quantifying variety-specific heat resistance and the potential for
   adaptation to climate change
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE adaptation; agriculture; climate change; genetics; global warming;
   wheat; yield
ID GENOMIC SELECTION; US AGRICULTURE; WEATHER; YIELDS; TEMPERATURE;
   IMPACTS; DROUGHT; OUTPUT
AB The impact of climate change on crop yields has become widely measured; however, the linkages for winter wheat are less studied due to dramatic weather changes during the long growing season that are difficult to model. Recent research suggests significant reductions under warming. A potential adaptation strategy involves the development of heat resistant varieties by breeders, combined with alternative variety selection by producers. However, the impact of heat on specific wheat varieties remains relatively unstudied due to limited data and the complex genetic basis of heat tolerance. Here, we provide a novel econometric approach that combines field-trial data with a genetic cluster mapping to group wheat varieties and estimate a separate extreme heat impact (temperatures over 34 degrees C) across 24 clusters spanning 197 varieties. We find a wide range of heterogeneous heat resistance and a trade-off between average yield and resistance. Results suggest that recently released varieties are less heat resistant than older varieties, a pattern that also holds for on-farm varieties. Currently released - but not yet adopted - varieties do not offer improved resistance relative to varieties currently grown on farm. Our findings suggest that warming impacts could be significantly reduced through advances in wheat breeding and/or adoption decisions by producers. However, current adaptation-through-adoption potential is limited under a 1 degrees C warming scenario as increased heat resistance cannot be achieved without a reduction in average yields.
C1 [Tack, Jesse] Mississippi State Univ, Dept Agr Econ, Mississippi State, MS 39762 USA.
   [Barkley, Andrew] Kansas State Univ, Dept Agr Econ, Manhattan, KS 66506 USA.
   [Rife, Trevor W.] Kansas State Univ, Interdept Genet, Manhattan, KS 66506 USA.
   [Rife, Trevor W.; Poland, Jesse A.] Kansas State Univ, Dept Plant Pathol, Wheat Genet Resource Ctr, 4024 Throckmorton Hall, Manhattan, KS 66506 USA.
   [Poland, Jesse A.] Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA.
   [Nalley, Lawton Lanier] Univ Arkansas, Dept Agr Econ & Agribusiness, Fayetteville, AR 72701 USA.
C3 Mississippi State University; Kansas State University; Kansas State
   University; Kansas State University; Kansas State University; University
   of Arkansas System; University of Arkansas Fayetteville
RP Tack, J (corresponding author), POB 5187, Mississippi State, MS 39762 USA.
EM j.tack@msstate.edu
RI Nalley, Lawton/AAN-7643-2021; Poland, Jesse/HKO-1284-2023
OI Poland, Jesse/0000-0002-7856-1399; Barkley, Andrew/0000-0002-6469-8300;
   Rife, Trevor/0000-0002-5974-6523; Nalley, Lawton/0000-0002-6718-8189
FU USDA National Institute of Food and Agriculture [2011-68002-30029]; US
   Agency for International Development (USAID) [AID-OAA-A-13-0005];
   National Science Foundation Plant Genome Research Program [IOS-1339389];
   Wheat Genetics Resource Center (WGRC) Industry/University Collaborative
   Research Center (I/UCRC) by NSF [IIP-1338897]; National Institute of
   Food and Agriculture, U.S. Department of Agriculture, Hatch/Multi-State
   [MIS-159020]
FX We would like to recognize the contribution of Allan Fritz, who provided
   useful information and analysis of the genetic clusters, the wheat
   varieties that define them, and their heat resistance. Support for
   genetic analysis is through the Kansas Wheat Commission, National
   Research Initiative Competitive Grants CAP project 2011-68002-30029 from
   the USDA National Institute of Food and Agriculture, the US Agency for
   International Development (USAID Cooperative Agreement No.
   AID-OAA-A-13-0005) and the National Science Foundation Plant Genome
   Research Program (IOS-1339389). This work was completed under the
   auspices of the Wheat Genetics Resource Center (WGRC)
   Industry/University Collaborative Research Center (I/UCRC) supported by
   NSF grant contract (IIP-1338897) and industry partners. This work
   represents contribution number 16-028-J from the Kansas Agricultural
   Experiment Station. This material is based upon work that is supported
   by the National Institute of Food and Agriculture, U.S. Department of
   Agriculture, Hatch/Multi-State under MIS-159020 Accn# 1002387.
CR [Anonymous], PLANT BREEDING
   [Anonymous], GLOBAL CHANGE BIOL
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   Barkley A, 2014, AGRON J, V106, P227, DOI 10.2134/agronj2013.0388
   Bernardo R., 2010, Quantitative Traits in Plant Breeding
   Cameron AC, 2011, J BUS ECON STAT, V29, P238, DOI 10.1198/jbes.2010.07136
   Cook BI, 2012, P NATL ACAD SCI USA, V109, P9000, DOI 10.1073/pnas.1118364109
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Endelman JB, 2011, PLANT GENOME-US, V4, P250, DOI 10.3835/plantgenome2011.08.0024
   Fisher AC, 2012, AM ECON REV, V102, P3749, DOI 10.1257/aer.102.7.3749
   Glaubitz JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090346
   Gourdji SM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2190
   Gupta P. K., 2012, Plant Breeding Reviews, V36, P85
   Licker R, 2013, AGR FOREST METEOROL, V176, P25, DOI 10.1016/j.agrformet.2013.02.010
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2007, AGR FOREST METEOROL, V145, P229, DOI 10.1016/j.agrformet.2007.05.002
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028726
   Poland J, 2012, PLANT GENOME-US, V5, P103, DOI 10.3835/plantgenome2012.06.0006
   Poland JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032253
   Salazar-Gutierrez MR, 2013, INT J PLANT PROD, V7, P741
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Schlenker W, 2005, AM ECON REV, V95, P395, DOI 10.1257/0002828053828455
   Schlenker W, 2013, NAT CLIM CHANGE, V3, P690
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Tack J, 2015, AM J AGR ECON, V97, P1464, DOI 10.1093/ajae/aau157
   Tack J, 2015, P NATL ACAD SCI USA, V112, P6931, DOI 10.1073/pnas.1415181112
   Tack J, 2014, CLIMATIC CHANGE, V125, P489, DOI 10.1007/s10584-014-1185-1
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Technow F, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130855
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
NR 34
TC 19
Z9 21
U1 0
U2 84
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD AUG
PY 2016
VL 22
IS 8
BP 2904
EP 2912
DI 10.1111/gcb.13163
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DR6MU
UT WOS:000380016800021
PM 26577840
DA 2025-01-10
ER

PT J
AU Tao, FL
   Zhang, Z
   Zhang, S
   Rötter, RP
   Shi, WJ
   Xiao, DP
   Liu, YJ
   Wang, M
   Liu, FS
   Zhang, H
AF Tao, Fulu
   Zhang, Zhao
   Zhang, Shuai
   Rotter, Reimund P.
   Shi, Wenjiao
   Xiao, Dengpan
   Liu, Yujie
   Wang, Meng
   Liu, Fengshan
   Zhang, He
TI Historical data provide new insights into response and adaptation of
   maize production systems to climate change/variability in China
SO FIELD CROPS RESEARCH
LA English
DT Article
DE China; Climate variability; Grain yield; Impact; Maize
ID WHEAT YIELDS; CROP YIELDS; TEMPERATURE; HEAT; IMPACTS; TRENDS
AB Extensive studies had been conducted to investigate the impacts of climate change on maize growth and yield in recent decades; however, the dynamics of crop husbandry in response and adaptation to climate change were not taken into account. Based on field observations spanning from 1981 to 2009 at 167 agricultural meteorological stations across China, we found that solar radiation and temperature over the observed maize growth period had decreasing trends during 1981-2009, and maize yields were positively correlated with these climate variables in major production regions. The decreasing trends in solar radiation and temperature during maize growth period were mainly ascribed to the adoption of late maturity cultivars with longer reproductive growth period (RGP). The adoption of late maturing cultivars with longer RGP contributed substantially to grain yield increase during the last three decades. The climate trends during maize growth period varied among different production areas. During 1981-2009, decreases in mean temperature, precipitation and solar radiation over maize growth period jointly reduced yield most by 13.2-17.3% in southwestern China, by contrast in northwestern China increases in mean temperature, precipitation and solar radiation jointly increased yield most by 12.9-14.4%. Our findings highlight that the adaptations of maize production system to climate change through shifts of sowing date and genotypes are underway and should be taken into accounted when evaluating climate change impacts. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Tao, Fulu; Zhang, Shuai; Shi, Wenjiao; Xiao, Dengpan; Liu, Yujie; Wang, Meng; Liu, Fengshan; Zhang, He] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Zhang, Zhao] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Rotter, Reimund P.] Nat Resources Inst Finland Luke, FI-01301 Vantaa, Finland.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Beijing Normal University; Natural Resources
   Institute Finland (Luke)
RP Tao, FL (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM taofl@igsnrr.ac.cn
RI Liu, Yu-Jie/JTS-3401-2023; 张|Zhang, 朝|Zhao/AAF-8815-2019; zhang,
   shuai/IVU-7877-2023; Xiao, Dengpan/V-9035-2019; Rotter, Reimund
   P./Y-9579-2019
OI Xiao, Dengpan/0000-0001-6900-1237; Tao, F/0000-0001-8574-0080; Rotter,
   Reimund P./0000-0002-3804-9964; , FL/0000-0002-8576-4012
FU National Science Foundation of China [41571088, 41571493, 31561143003];
   FACCE MACSUR project through the Finnish Ministry of Agriculture and
   Forestry; Luke through the strategic MODAGS project
FX This study was supported by the National Science Foundation of China
   (Nos. 41571088, 41571493 and 31561143003). Funding support by FACCE
   MACSUR project through the Finnish Ministry of Agriculture and Forestry
   and by Luke through the strategic MODAGS project is also gratefully
   acknowledged. We are grateful to the two anonymous reviewers and editor
   for their insightful comments on an earlier version of this manuscript.
CR Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   BOLANOS J, 1993, FIELD CROP RES, V31, P233, DOI [10.1016/0378-4290(93)90064-T, 10.1016/0378-4290(96)00036-6]
   Butler EE, 2013, NAT CLIM CHANGE, V3, P68, DOI [10.1038/NCLIMATE1585, 10.1038/nclimate1585]
   Cairns JE, 2012, ADV AGRON, V114, P1, DOI 10.1016/B978-0-12-394275-3.00006-7
   Cassman KG, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/011002
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Chen XC, 2013, GLOBAL CHANGE BIOL, V19, P923, DOI 10.1111/gcb.12093
   Ci XK, 2011, CROP SCI, V51, P13, DOI 10.2135/cropsci2010.04.0207
   Crafts-Brandner SJ, 2002, PLANT PHYSIOL, V129, P1773, DOI 10.1104/pp.002170
   Elsgaard L, 2012, FOOD ADDIT CONTAM A, V29, P1514, DOI 10.1080/19440049.2012.700953
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Hu X.A., 1993, SW CHINA J AGR SCI, V6, P36
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Li H, 2008, B AGR SCI TECHNOLOGY, V6, P80
   Licker R, 2013, AGR FOREST METEOROL, V176, P25, DOI 10.1016/j.agrformet.2013.02.010
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   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]
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Lu HaiJun Lu HaiJun, 2011, Journal of Maize Sciences, V19, P101
   Montesino-San Martín M, 2014, AGR FOREST METEOROL, V187, P1, DOI 10.1016/j.agrformet.2013.11.009
   MUCHOW RC, 1990, AGRON J, V82, P338, DOI 10.2134/agronj1990.00021962008200020033x
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Prescott J.A., 1940, T FROYAL SOC, V64, P114, DOI DOI 10.1155/2013/168048
   Edreira JIR, 2011, FIELD CROP RES, V123, P62, DOI 10.1016/j.fcr.2011.04.015
   Rötter RP, 2015, J EXP BOT, V66, P3463, DOI 10.1093/jxb/erv098
   Rötter RP, 2011, NAT CLIM CHANGE, V1, P175
   Ruane AC, 2013, AGR FOREST METEOROL, V170, P132, DOI 10.1016/j.agrformet.2011.10.015
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   Siebert S, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/4/041001
   Tao FL, 2004, CLIM RES, V28, P23, DOI 10.3354/cr028023
   Tao FL, 2014, GLOBAL CHANGE BIOL, V20, P3686, DOI 10.1111/gcb.12684
   Tao FL, 2014, AGR FOREST METEOROL, V189, P91, DOI 10.1016/j.agrformet.2014.01.013
   Tao FL, 2012, CLIM RES, V54, P233, DOI 10.3354/cr01131
   Tao FL, 2011, CLIMATIC CHANGE, V105, P409, DOI 10.1007/s10584-010-9883-9
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Tao FL, 2009, AGR FOREST METEOROL, V149, P1266, DOI 10.1016/j.agrformet.2009.02.015
   Tong P.Y., 1992, MAIZE CULTIVATION ZO
   Wang XH, 2014, AGR ECOSYST ENVIRON, V196, P51, DOI 10.1016/j.agee.2014.06.009
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Xiao D., 2015, THEOR APPL CLIMATOL
   Zhang Z., 2015, THEOR APPL CLIMATOL
   Zhang Z, 2014, NAT HAZARDS, V71, P2087, DOI 10.1007/s11069-013-0998-y
NR 48
TC 48
Z9 54
U1 4
U2 117
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 JAN
PY 2016
VL 185
BP 1
EP 11
DI 10.1016/j.fcr.2015.10.013
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CY2FV
UT WOS:000366225100001
OA Green Published
DA 2025-01-10
ER

PT J
AU Svejcar, T
   Boyd, C
   Davies, K
   Madsen, M
   Bates, J
   Sheley, R
   Marlow, C
   Bohnert, D
   Borman, M
   Mata-Gonzàlez, R
   Buckhouse, J
   Stringham, T
   Perryman, B
   Swanson, S
   Tate, K
   George, M
   Ruyle, G
   Roundy, B
   Call, C
   Jensen, K
   Launchbaugh, K
   Gearhart, A
   Vermeire, L
   Tanaka, J
   Derner, J
   Frasier, G
   Havstad, K
AF Svejcar, Tony
   Boyd, Chad
   Davies, Kirk
   Madsen, Matthew
   Bates, Jon
   Sheley, Roger
   Marlow, Clayton
   Bohnert, David
   Borman, Mike
   Mata-Gonzalez, Ricardo
   Buckhouse, John
   Stringham, Tamzen
   Perryman, Barry
   Swanson, Sherman
   Tate, Kenneth
   George, Mel
   Ruyle, George
   Roundy, Bruce
   Call, Chris
   Jensen, Kevin
   Launchbaugh, Karen
   Gearhart, Amanda
   Vermeire, Lance
   Tanaka, John
   Derner, Justin
   Frasier, Gary
   Havstad, Kris
TI Western Land Managers will Need all Available Tools for Adapting to
   Climate Change, Including Grazing: A Critique of Beschta et al.
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Grazing; Public lands; Climate change; Riparian areas
AB In a previous article, Beschta et al. (Environ Manag 51(2):474-491, 2013) argue that grazing by large ungulates (both native and domestic) should be eliminated or greatly reduced on western public lands to reduce potential climate change impacts. The authors did not present a balanced synthesis of the scientific literature, and their publication is more of an opinion article. Their conclusions do not reflect the complexities associated with herbivore grazing. Because grazing is a complex ecological process, synthesis of the scientific literature can be a challenge. Legacy effects of uncontrolled grazing during the homestead era further complicate analysis of current grazing impacts. Interactions of climate change and grazing will depend on the specific situation. For example, increasing atmospheric CO2 and temperatures may increase accumulation of fine fuels (primarily grasses) and thus increase wildfire risk. Prescribed grazing by livestock is one of the few management tools available for reducing fine fuel accumulation. While there are certainly points on the landscape where herbivore impacts can be identified, there are also vast grazed areas where impacts are minimal. Broad scale reduction of domestic and wild herbivores to help native plant communities cope with climate change will be unnecessary because over the past 20-50 years land managers have actively sought to bring populations of native and domestic herbivores in balance with the potential of vegetation and soils. To cope with a changing climate, land managers will need access to all available vegetation management tools, including grazing.
C1 [Svejcar, Tony; Boyd, Chad; Davies, Kirk; Madsen, Matthew; Bates, Jon; Sheley, Roger] ARS, USDA, Burns, OR 97720 USA.
   [Marlow, Clayton] Montana State Univ, Bozeman, MT 59717 USA.
   [Bohnert, David] Oregon State Univ, Burns, OR 97720 USA.
   [Borman, Mike; Mata-Gonzalez, Ricardo; Buckhouse, John] Oregon State Univ, Corvallis, OR 97331 USA.
   [Stringham, Tamzen; Perryman, Barry; Swanson, Sherman] Univ Nevada, Reno, NV 89557 USA.
   [Tate, Kenneth; George, Mel] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Ruyle, George] Univ Arizona, Tucson, AZ 85721 USA.
   [Roundy, Bruce] Brigham Young Univ, Provo, UT 84602 USA.
   [Call, Chris] Utah State Univ, Logan, UT 84322 USA.
   [Jensen, Kevin] Utah State Univ, ARS, USDA, Logan, UT 84322 USA.
   [Launchbaugh, Karen] Univ Idaho, Moscow, ID 83844 USA.
   [Gearhart, Amanda] Univ Idaho, Twin Falls, ID 83303 USA.
   [Vermeire, Lance] ARS, USDA, Miles City, MT 59301 USA.
   [Tanaka, John] Univ Wyoming, Laramie, WY 82071 USA.
   [Derner, Justin] ARS, USDA, Cheyenne, WY 82009 USA.
   [Frasier, Gary] ARS, USDA, Ft Collins, CO 80526 USA.
   [Havstad, Kris] ARS, USDA, Las Cruces, NM 88003 USA.
C3 United States Department of Agriculture (USDA); Montana State University
   System; Montana State University Bozeman; Oregon State University;
   Oregon State University; Nevada System of Higher Education (NSHE);
   University of Nevada Reno; University of California System; University
   of California Davis; University of Arizona; Brigham Young University;
   Utah System of Higher Education; Utah State University; United States
   Department of Agriculture (USDA); Utah System of Higher Education; Utah
   State University; University of Idaho; University of Idaho; United
   States Department of Agriculture (USDA); University of Wyoming; United
   States Department of Agriculture (USDA); United States Department of
   Agriculture (USDA); United States Department of Agriculture (USDA)
RP Svejcar, T (corresponding author), ARS, USDA, 67826-A Hwy 205, Burns, OR 97720 USA.
EM tony.svejcar@oregonstate.edu; cmarlow@montana.edu
RI Madsen, Matthew/AAV-7493-2020
OI Derner, Justin/0000-0001-8076-0736; Vermeire, Lance/0000-0001-9147-0099
FU ARS [ARS-0422620, 813252] Funding Source: Federal RePORTER
CR [Anonymous], P AM FORESTERS
   ARMOUR CL, 1991, FISHERIES, V16, P7
   AUSTIN DD, 1994, J RANGE MANAGE, V47, P8, DOI 10.2307/4002832
   Beschta RL, 2013, ENVIRON MANAGE, V51, P474, DOI 10.1007/s00267-012-9964-9
   Blackburn W. H., 1984, Developing strategies for rangeland management., P927
   Boyd CS, 2009, RANGELAND ECOL MANAG, V62, P491, DOI 10.2111/08-194.1
   Chaney E, 1993, Managing change: livestock grazing on western riparian areas
   Clark PE, 2000, J RANGE MANAGE, V53, P97, DOI 10.2307/4003399
   Davies KW, 2009, ECOL APPL, V19, P1536, DOI 10.1890/09-0111.1
   Follett R F, 2001, POTENTIAL US GRAZING, P442
   Fuhlendorf SD, 2006, ECOL APPL, V16, P1706, DOI 10.1890/1051-0761(2006)016[1706:SHBTBF]2.0.CO;2
   George MR, 2011, CONSERVATION BENEFIT, P429
   Heitschmidt RK, 1991, GRAZING MANAGEMENT E, P264
   Lal R., 2001, The potential of U.S. grazing lands to sequester carbon and mitigate the greenhouse effect
   Rimbey N.R., 2003, Ranch Level Economic Impacts of Public Land Grazing Policy Alternatives in the Bruneau Resource Area of Owyhee County, Idaho
   Tanaka J.A., 2007, Rangelands, V29, P38, DOI [10.2111/1551-501X(2007)2938:GDTQFT2.0.CO;2, DOI 10.2111/1551-501X(2007)2938:GDTQFT2.0.CO;2]
   Torell L.A., 2002, SG0102 POL AN CTR W
   Wagner F., 1978, Wildlife and America, P121
   Wildlife Society, 2010, FIN POS STAT LIV GRA
   Wyman S., 2006, Technical Reference No. 1730-20 ., P105
   Ziska LH, 2005, GLOBAL CHANGE BIOL, V11, P1325, DOI 10.1111/j.1365-2486.2005.00992.x
NR 21
TC 19
Z9 28
U1 0
U2 44
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JUN
PY 2014
VL 53
IS 6
BP 1035
EP 1038
DI 10.1007/s00267-013-0218-2
PG 4
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AG8JC
UT WOS:000335663600001
PM 24399203
DA 2025-01-10
ER

PT J
AU Meason, DF
   Mason, WL
AF Meason, Dean F.
   Mason, W. L.
TI Evaluating the deployment of alternative species in planted conifer
   forests as a means of adaptation to climate change-case studies in New
   Zealand and Scotland
SO ANNALS OF FOREST SCIENCE
LA English
DT Article
DE Climate change; Planted forests; Hazards; Profitability; Species
   diversification
ID GEOGRAPHIC RANGE; CHANGE IMPACTS; SCOTS PINE; PRODUCTIVITY; SENSITIVITY;
   3-PG; CO2; VULNERABILITY; UNCERTAINTY; ECOSYSTEMS
AB A strategy widely proposed for increasing the resilience of forests against the impacts of projected climate change is to increase the number of species planted to spread and reduce the risks from a range of biotic and abiotic hazards.
   We tested this strategy in two case study areas in planted conifer forests in New Zealand and Scotland.
   The performance of the major tree species and an alternative was compared: radiata pine and Eucalyptus fastigata in New Zealand and Sitka spruce and Scots pine in Scotland. The process-based model 3-PG2S was used to simulate the effects of projected climate change at the end of this century, with and without CO2 fertilisation, upon productivity and financial returns. The effects of an abiotic hazard and two biotic hazards were considered.
   Under the current climate, the major species outperform alternatives in nearly all circumstances. However, with climate change, their relative performance alters. In New Zealand, planting of E. fastigata becomes more attractive particularly when various hazards and elevated CO2 concentrations are considered. In Scotland, Scots pine becomes more attractive than Sitka spruce at lower interest rates.
   The major plantation species in both countries are well suited to the current climate, but deployment of alternative species and/or breeds can help to adapt these planted forests to the impacts of climate change.
C1 [Meason, Dean F.] Scion, Rotorua 3010, New Zealand.
   [Mason, W. L.] Forestry Commiss Roslin, No Res Stn, Roslin EH25 9SY, Midlothian, Scotland.
C3 Scion
RP Mason, WL (corresponding author), Forestry Commiss Roslin, No Res Stn, Roslin EH25 9SY, Midlothian, Scotland.
EM dean.meason@scionresearch.com; bill.mason@forestry.gsi.gov.uk
RI Meason, Dean/E-7865-2019
OI Meason, Dean/0000-0002-7592-0827
FU EU IRSES project Tranzfor; EU Interreg 4C project 'ForestClim'
FX We acknowledge funding from the EU IRSES project Tranzfor for funding
   travel costs to support this collaboration. Work at Craik Forest was
   also supported by the EU Interreg 4C project 'ForestClim'. Climate data
   and future projections for Craik were sourced by Phil Taylor, while John
   Fonweban provided information from permanent sample plots in Scotland.
   Special thanks to Future Forests Research Limited (N.Z.) for access to
   data for Ashley Forest. The collation of the relevant New Zealand
   permanent sample data was provided by Carolyn Andersen and Christine
   Dodunski. Climate data and future projections for Ashley were supplied
   by National Institute of Water and Atmospheric Research and formatted
   for 3-PG by Duncan Harrison. We are grateful to the journal editors and
   an anonymous reviewer for helpful comments and suggestions which have
   improved this manuscript.
CR Abrams MD, 2011, TREE PHYSIOL, V31, P258, DOI 10.1093/treephys/tpr010
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Almeida A., 2009, 18 WORLD IMACS MODSI
   Almeida AC, 2010, FOREST ECOL MANAG, V259, P1730, DOI 10.1016/j.foreco.2009.10.008
   [Anonymous], 2007, STAT EUR FOR 2007 MC, P247
   [Anonymous], 2012, IMPACTS CLIMATE CHAN, DOI DOI 10.1515/9783110289039.734
   [Anonymous], 2010, GUIDE INCREASING TRE, P41
   Battaglia M, 2009, CONNECTED LEARNING S, P124
   Battisti A, 2005, ECOL APPL, V15, P2084, DOI 10.1890/04-1903
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Booth TH, 2013, FOREST ECOL MANAG, V301, P28, DOI 10.1016/j.foreco.2012.04.004
   Brown A, 2008, 2 FOR COMM
   Burdon Rowland D., 2001, New Zealand Journal of Forestry, V45, P20
   Clark A, 2012, IMPACTS CLIMATE CHAN, P33
   Coops NC, 2011, ECOL MODEL, V222, P2119, DOI 10.1016/j.ecolmodel.2011.03.033
   Coops NC, 2011, CLIMATIC CHANGE, V105, P313, DOI 10.1007/s10584-010-9861-2
   Davis-Colley R, 2008, NZ FARM FORESTRY ASS, P17
   Dick Margaret, 1998, New Zealand Forestry, V42, P30
   Edwards P. N., 1981, Booklet, Forestry Commission, UK, ptables
   Esprey LJ, 2004, FOREST ECOL MANAG, V193, P235, DOI 10.1016/j.foreco.2004.01.032
   Forestry Commission, 2012, STAND TIMB VOL CON F
   Ganley RJ, 2009, CAN J FOREST RES, V39, P2246, DOI 10.1139/X09-131
   Gardiner B., 2010, Destructive storms in European forests: past and forthcoming impacts
   Gonthier P, 2010, FOREST CHRON, V86, P110, DOI 10.5558/tfc86110-1
   Hay A.E., 2005, HANDBOOK, P83
   Hildebrandt P, 2011, FOREST POLICY ECON, V13, P1, DOI 10.1016/j.forpol.2010.09.001
   Hoogstra M, 2009, EUR J FOREST RES, V128, P1, DOI 10.1007/s10342-008-0234-6
   Ivkovic M, 2010, AUST FORESTRY, V73, P265, DOI 10.1080/00049158.2010.10676338
   Jarvis P. G., 2009, Combating climate change: a role for UK forests. An assessment of the potential of the UK's trees and woodlands to mitigate and adapt to climate change, P21
   Jones Trevor G., 2010, New Zealand Journal of Forestry Science, V40, P19
   Karnosky DF, 2003, ENVIRON INT, V29, P161, DOI 10.1016/S0160-4120(02)00159-9
   Kennedy F., 2002, The identification of soils for forest management: field guide
   Kolström M, 2011, FORESTS, V2, P961, DOI 10.3390/f2040961
   Kurz WA, 2008, NATURE, V452, P987, DOI 10.1038/nature06777
   Landmann G, 2006, ANN FOREST SCI, V63, P567, DOI 10.1051/forest:2006062
   Landsberg JJ, 1997, FOREST ECOL MANAG, V95, P209, DOI 10.1016/S0378-1127(97)00026-1
   Lawrence A, 2011, HUMAN DIMENSIONS ADA, P44
   Lee SJ, 2004, 58 FOR COMM
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Macdonald E, 2002, FORESTRY, V75, P107, DOI 10.1093/forestry/75.2.107
   Macdonald Elspeth, 2008, Scottish Forestry, V62, P12
   Macdonald E, 2010, FORESTRY, V83, P1, DOI 10.1093/forestry/cpp023
   Magnani F, 2007, NATURE, V447, P848, DOI 10.1038/nature05847
   Manley Bruce, 2012, New Zealand Journal of Forestry, V56, P21
   Mason W. L., 2012, Journal of Forest Science (Prague), V58, P265, DOI 10.17221/105/2011-JFS
   Mason WL, 2011, J FOREST PLANNING, V16, P1, DOI DOI 10.20659/JFP.16.SPECIAL_ISSUE_67
   Meason DF, 2011, PRELIMINARY PA UNPUB
   Ministry of Agriculture and Forestry (MAF), 2011, NAT EX FOR DESCR 201
   Minunno F, 2010, CAN J FOREST RES, V40, P2411, DOI 10.1139/X10-181
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Newsome P.F.J., 2008, LAND RESOURCE INFORM
   Nicholas I., 2011, New Zealand Journal of Forestry, V56, P15
   Nicoll BC, 2006, CAN J FOREST RES, V36, P1871, DOI 10.1139/X06-072
   Norby RJ, 2010, P NATL ACAD SCI USA, V107, P19368, DOI 10.1073/pnas.1006463107
   Pinkard L, 2010, ADAPTATION CLIMATE C, P78
   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]
   Pussinen A, 2009, FOREST ECOL MANAG, V258, P1806, DOI 10.1016/j.foreco.2009.04.007
   Ray D, 2008, 101 FOR COMM
   Richards E.G., 2003, British Forestry in the 20th Century: Policy and Achievements
   Sands P.J., 2010, 3PG PJS User Manual, P27
   Schelhaas MJ, 2003, GLOBAL CHANGE BIOL, V9, P1620, DOI 10.1046/j.1365-2486.2003.00684.x
   Scinocca JF, 2008, ATMOS CHEM PHYS, V8, P7055, DOI 10.5194/acp-8-7055-2008
   Seidl R, 2005, TREE PHYSIOL, V25, P939, DOI 10.1093/treephys/25.7.939
   Song XD, 2012, ECOL MODEL, V247, P135, DOI 10.1016/j.ecolmodel.2012.08.005
   Stone C, 2012, FOREST ECOL MANAG, V265, P94, DOI 10.1016/j.foreco.2011.10.008
   Straw N, 2011, FOREST ECOL MANAG, V262, P1223, DOI 10.1016/j.foreco.2011.06.020
   Waring RH, 2002, TREE PHYSIOL, V22, P179, DOI 10.1093/treephys/22.2-3.179
   Watt M.S., 2008, The effect of climate change on New Zealand's planted forests: Impacts, risks, and opportunities
   Watt MS, 2009, FOREST ECOL MANAG, V257, P1505, DOI 10.1016/j.foreco.2008.12.026
   Watt MS, 2011, 20114 MAF
   Webb TH, 1995, LANDCARE RES SCI SER, V10
   Weiskittel AR, 2011, CAN J FOREST RES, V41, P1710, DOI [10.1139/x11-086, 10.1139/X11-086]
   Woods A, 2005, BIOSCIENCE, V55, P761, DOI 10.1641/0006-3568(2005)055[0761:IAUDNB]2.0.CO;2
   Xenakis G, 2008, ECOL MODEL, V219, P1, DOI 10.1016/j.ecolmodel.2008.07.020
   Yousefpour R, 2012, ANN FOREST SCI, V69, P1, DOI 10.1007/s13595-011-0153-4
NR 76
TC 33
Z9 33
U1 1
U2 58
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1286-4560
EI 1297-966X
J9 ANN FOREST SCI
JI Ann. For. Sci.
PD MAR
PY 2014
VL 71
IS 2
SI SI
BP 239
EP 253
DI 10.1007/s13595-013-0300-1
PG 15
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA AB3RC
UT WOS:000331706900013
DA 2025-01-10
ER

PT J
AU Lei, YD
   Wang, JA
   Yue, YJ
   Yin, YY
   Sheng, ZY
AF Lei, Yongdeng
   Wang, Jing'ai
   Yue, Yaojie
   Yin, Yuanyuan
   Sheng, Zhongyao
TI How adjustments in land use patterns contribute to drought risk
   adaptation in a changing climate-A case study in China
SO LAND USE POLICY
LA English
DT Article
DE Climate change; Agricultural drought; Land use change; Farmer;
   Adaptation; Sustainability
ID SUSTAINABILITY SCIENCE; ADAPTIVE CAPACITY; VULNERABILITY; RESILIENCE
AB In the context of climate change, adaptation to climatic extremes, such as drought, has attracted worldwide attention, yet many practical adaptation strategies need to be examined at the local level. Based on a case study of the village of Beidian, located in a drought-prone region in northern China, this study demonstrates that when faced with multiple pressures of regional climate change, drought risk and rural poverty, reasonable adjustments in land use patterns can serve as an effective adaptation strategy in the agricultural sector. We used household questionnaires, in-depth interviews with village managers, and land use surveys at the farming plot level to quantify the relationship between land use change and drought mitigation effects. Our findings indicate that in the past decade, the farming practices in Beidian have transformed from a complete reliance on the winter wheat-summer corn rotation to a new diversified mode of apple as the main crop and corn and coarse cereals as the subsidiary crops. The current farming mode is proven to possess a stronger adaptive capacity to drought due to its higher water-saving efficiency and economic benefit, which facilitates rural poverty reduction and socio-economic development. This study presents a feasible approach to address adaptation strategies at the local level, which provides policymakers with information on how to best support farm-level adaptation and to reduce farmers' vulnerability to climatic extremes within the broader context of climate change. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Lei, Yongdeng; Wang, Jing'ai; Yue, Yaojie] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Lei, Yongdeng; Wang, Jing'ai; Yue, Yaojie; Yin, Yuanyuan; Sheng, Zhongyao] Beijing Normal Univ, Key Lab Reg Geog, Beijing 100875, Peoples R China.
   [Lei, Yongdeng; Wang, Jing'ai; Yue, Yaojie; Yin, Yuanyuan; Sheng, Zhongyao] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University; Beijing Normal
   University
RP Wang, JA (corresponding author), 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
EM jwang@bnu.edu.cn
RI Yue, Yaojie/AAF-2489-2019
OI YUE, Yaojie/0000-0001-5198-1281
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alam MM, 2012, MITIG ADAPT STRAT GL, V17, P173, DOI 10.1007/s11027-011-9319-5
   [Anonymous], 2007, 4 ASS REP AR4
   [Anonymous], 2004, Reducing Disaster Risk: A Challenge for Development
   [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], CRS REP C
   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
   Butzer KW, 2012, P NATL ACAD SCI USA, V109, P3628, DOI 10.1073/pnas.1114772109
   Cao SX, 2009, LAND USE POLICY, V26, P1182, DOI 10.1016/j.landusepol.2009.02.006
   Chen XQ, 2009, LANDSCAPE ECOL, V24, P1015, DOI 10.1007/s10980-009-9350-z
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1978, Adaptive environmental assessment and management
   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
   Lei YD, 2011, INT J DISAST RISK SC, V2, P32, DOI 10.1007/s13753-011-0009-4
   Liu C, 2013, LAND USE POLICY, V31, P237, DOI 10.1016/j.landusepol.2012.07.004
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   Siwar C., 2009, Int Rev Bus Res Papers, V5, P309
   Tang Z., 2008, Natural Hazards Review, V9, P91, DOI DOI 10.1061/(ASCE)1527-6988(2008)9:2(91)
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Uchida E, 2005, LAND ECON, V81, P247, DOI 10.3368/le.81.2.247
   White G., 1945, 29 U CHIC
   Zhou HJ, 2009, LAND USE POLICY, V26, P954, DOI 10.1016/j.landusepol.2008.11.006
   [No title captured]
NR 31
TC 19
Z9 23
U1 1
U2 77
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 JAN
PY 2014
VL 36
BP 577
EP 584
DI 10.1016/j.landusepol.2013.10.004
PG 8
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 292DC
UT WOS:000329881400056
DA 2025-01-10
ER

PT J
AU Raj, R
   Sofi, AA
AF Raj, Renjith
   Sofi, Arfat Ahmad
TI An enquiry into rehabilitation as a climate change adaptation policy:
   the case of the Western Ghats of Kerala, India
SO GEOJOURNAL
LA English
DT Article
DE Climate change; Climatic hazards; Rehabilitation policy; The western
   ghats
ID VULNERABILITY; IMPACTS; FLOODS
AB The Western Ghats have been declared as a World Heritage Site by UNESCO. Besides, it is classified as one of the world's 36 biodiversity hotspots by Conservation International. The Western Ghats of Kerala have experienced devastating landslides and floods in recent years, which are triggered by climate change. This alarming situation calls for policymakers to develop a comprehensive climate adaptation policy at the local level. However, no study has yet thoroughly investigated this critical issue. Therefore, this study explores the prospects and trade-offs of climate rehabilitation policies for families living in the highly landslide- and flood-prone areas of the Western Ghats in Kerala, India. We have undertaken a mixed methodology comprising four focus group discussions followed by empirical analyses. Towards this, a semi-structured questionnaire is framed to gather relevant information based on the outcomes. The data are analyzed using robust logistic regression models. The findings indicate that most agricultural worker families support the rehabilitation policy, given their lower opportunity costs due to the absence of farmland ownership. On the other hand, agricultural families face considerable trade-offs regarding rehabilitation. Most agricultural families prefer to rehabilitate within a short distance from the current residence or construct a retaining wall as they fear rehabilitation to distant places will gravely affect their livelihood. This research highlights the potential for implementing a rehabilitation policy for marginalized communities heavily exposed to climate risks. Additionally, constructing retaining walls should also be a primary focus of the Government.
C1 [Raj, Renjith] JAIN, Sch Humanities & Social Sci, Dept Econ, Bengaluru, India.
   [Sofi, Arfat Ahmad] Birla Inst Technol & Sci, Dept Econ & Finance, Pilani KK Birla Goa Campus, Sancoale, India.
RP Raj, R (corresponding author), JAIN, Sch Humanities & Social Sci, Dept Econ, Bengaluru, India.
EM renjithrajappu@gmail.com
RI Sofi, Arfat/AAR-9842-2020; Raj, Renjith/IQR-8636-2023
FX The authors would like to express their gratitude to the following
   persons for their wholehearted cooperation and suggestions, without
   which this study would not have been realized: Sheeba George IAS-Idukki
   District Collector, Dr. Sekhar Lukose Kuriakose-Member Secretary, Kerala
   State Disaster Management Authority, Pradeep G.S-Hazard and Risk
   Analyst, Kerala State Disaster Management Authority, Rajeev T.R-Hazard
   and Risk Analyst, Idukki District, Government officials of Idukki taluk
   revenue office, Government officials and representatives of concerned
   village panchayats, and the residents of the concerned villages.
CR Achu AL, 2024, GEOMORPHOLOGY, V448, DOI 10.1016/j.geomorph.2023.109033
   Assam state disaster management authority, 2022, Assam flood report 2022
   Bahinipati CS, 2020, WATER POLICY, V22, P748, DOI 10.2166/wp.2020.059
   Barua P, 2017, INT J CLIM CHANG STR, V9, P790, DOI 10.1108/IJCCSM-02-2017-0026
   Eckstein D., 2020, GLOBAL CLIMATE RISK
   Gadgil M., 2011, Report of the Western Ghats Ecology Experts Panel
   Gopinath G, 2023, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-023-27377-4
   Gorman C. E., 2023, Science of the total environment, V857
   Government of Kerala, 2020, MEM KER FLOODS 2019
   Gupta V, 2020, J HYDROL ENG, V25, DOI 10.1061/(ASCE)HE.1943-5584.0001872
   Haque U, 2019, SCI TOTAL ENVIRON, V682, P673, DOI 10.1016/j.scitotenv.2019.03.415
   Hunt KMR, 2020, CLIM DYNAM, V54, P2433, DOI 10.1007/s00382-020-05123-7
   IPCC, 2022, Climate Change 2022-Impacts, Adaptation and Vulnerability, V1st
   IPCC, 2023, Assessment round 6 synthesis report: climate change 2023
   Irshad SM., 2022, In Sociological Bulletin, V71, P437, DOI [10.1177/00380229221094785, DOI 10.1177/00380229221094785]
   Kerala Forest Department, 2021, Kerala forests statistics 2021
   Krishnan R., 2020, Assessment of Climate Change Over the Indian region: a Report of the Ministry of Earth Sciences (MOES), P226, DOI DOI 10.1007/978-981-15-4327-2
   Kumar P, 2022, J INTEGR ENVIRON SCI, V19, P39, DOI 10.1080/1943815X.2022.2033792
   Kumar PV, 2020, PURE APPL GEOPHYS, V177, P4423, DOI 10.1007/s00024-020-02471-7
   Li BBV, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113416118
   Mishra AK, 2019, WEATHER, V74, P218, DOI 10.1002/wea.3259
   Mittermeier R. A., 1999, Hotspots: Earth's biologically richest and most endangered terrestrial ecoregions
   Oeba VO, 2017, CLIM CHANG MANAG, P153, DOI 10.1007/978-3-319-49520-0_10
   Oomen V. O., 2014, Understanding report of the western ghats ecologically expert panel, Kerala perspective
   Panagos P, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127865
   Paramesh V, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811629
   Pramanik M, 2021, ENVIRONMENT, V63, P20, DOI 10.1080/00139157.2021.1924575
   Pramanik M, 2022, CLIM DEV, V14, P99, DOI 10.1080/17565529.2021.1889948
   Pramanik M, 2022, INT J ENVIRON HEAL R, V32, P1095, DOI 10.1080/09603123.2020.1831446
   Pramanik M, 2021, ENVIRON DEV SUSTAIN, V23, P5345, DOI 10.1007/s10668-020-00819-6
   Pramanik M, 2018, CLIM RISK MANAG, V19, P94, DOI 10.1016/j.crm.2017.11.002
   Qasim M, 2023, REMOTE SENS APPL, V29, DOI 10.1016/j.rsase.2022.100902
   Raj R, 2023, LAND USE POLICY, V130, DOI 10.1016/j.landusepol.2023.106655
   Reddy KV, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12051023
   Roxy MK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00744-9
   Samui S, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102907
   Sharma J, 2017, MITIG ADAPT STRAT GL, V22, P29, DOI 10.1007/s11027-015-9659-7
   Sreenath AV, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00258-2
   Sultana N, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102402
   Tiwari P, 2022, ENVIRON URBAN ASIA, V13, P323, DOI 10.1177/09754253221130405
   Upadhyaya A, 2023, THEOR APPL CLIMATOL, V151, P253, DOI 10.1007/s00704-022-04280-5
   Vijaykumar P, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100339
   Wang YB, 2022, J HYDROL, V615, DOI 10.1016/j.jhydrol.2022.128710
   Yaduvanshi A, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2020.100291
   Younus MAF, 2017, ENVIRON HAZARDS-UK, V16, P21, DOI 10.1080/17477891.2016.1211984
NR 45
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0343-2521
EI 1572-9893
J9 GEOJOURNAL
JI GeoJournal
PD AUG 29
PY 2024
VL 89
IS 5
AR 201
DI 10.1007/s10708-024-11198-0
PG 20
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA E4G4W
UT WOS:001302602800001
DA 2025-01-10
ER

PT J
AU Pacchetti, MB
   Dessai, S
   Stainforth, DA
   Bradley, S
AF Pacchetti, Marina Baldissera
   Dessai, Suraje
   Stainforth, David A.
   Bradley, Seamus
TI Assessing the quality of state-of-the-art regional climate information:
   the case of the UK Climate Projections 2018
SO CLIMATIC CHANGE
LA English
DT Article
DE Knowledge quality assessment; Regional climate information; Climate
   models; Uncertainty; Adaptation
ID UNCERTAINTY; MODELS; WEATHER; CONFIDENCE; ENSEMBLES; KNOWLEDGE; SYSTEMS
AB In this paper, we assess the quality of state-of-the-art regional climate information intended to support climate adaptation decision-making. We use the UK Climate Projections 2018 as an example of such information. Their probabilistic, global, and regional land projections exemplify some of the key methodologies that are at the forefront of constructing regional climate information for decision support in adapting to a changing climate. We assess the quality of the evidence and the methodology used to support their statements about future regional climate along six quality dimensions: transparency; theory; independence, number, and comprehensiveness of evidence; and historical empirical adequacy. The assessment produced two major insights. First, a major issue that taints the quality of UKCP18 is the lack of transparency, which is particularly problematic since the information is directed towards non-expert users who would need to develop technical skills to evaluate the quality and epistemic reliability of this information. Second, the probabilistic projections are of lower quality than the global projections because the former lack both transparency and a theory underpinning the method used to produce quantified uncertainty estimates about future climate. The assessment also shows how different dimensions are satisfied depending on the evidence used, the methodology chosen to analyze the evidence, and the type of statements that are constructed in the different strands of UKCP18. This research highlights the importance of knowledge quality assessment of regional climate information that intends to support climate change adaptation decisions.
C1 [Pacchetti, Marina Baldissera; Dessai, Suraje] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.
   [Pacchetti, Marina Baldissera; Dessai, Suraje; Bradley, Seamus] Univ Leeds, ESRC Ctr Climate Change Econ & Policy, Leeds, W Yorkshire, England.
   [Stainforth, David A.] London Sch Econ, Grantham Res Inst Climate Change & Environm, London, England.
   [Stainforth, David A.] London Sch Econ, ESRC Ctr Climate Change Econ & Policy, London, England.
   [Stainforth, David A.] Univ Warwick, Dept Phys, Coventry, W Midlands, England.
   [Bradley, Seamus] Univ Leeds, Sch Philosophy Relig & Hist Sci, Leeds, W Yorkshire, England.
C3 University of Leeds; University of Leeds; UK Research & Innovation
   (UKRI); Economic & Social Research Council (ESRC); University of London;
   London School Economics & Political Science; University of London;
   London School Economics & Political Science; UK Research & Innovation
   (UKRI); Economic & Social Research Council (ESRC); University of
   Warwick; University of Leeds
RP Pacchetti, MB (corresponding author), Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.; Pacchetti, MB (corresponding author), Univ Leeds, ESRC Ctr Climate Change Econ & Policy, Leeds, W Yorkshire, England.
EM m.baldisserapacchetti@leeds.ac.uk; s.dessai@leeds.ac.uk;
   d.a.stainforth@lse.ac.uk; s.c.bradley@leeds.ac.uk
RI ; Dessai, Suraje/D-4219-2009
OI Baldissera Pacchetti, Marina/0000-0002-5867-6893; Stainforth,
   David/0000-0001-6476-733X; Dessai, Suraje/0000-0002-7879-9364
FU U.K. Economic and Social Research Council Centre for Climate Change,
   Economics and Policy (CCCEP) [ES/R009708/1]; Research England QR-SPF at
   the University of Leeds; ESRC [ES/R009708/1] Funding Source: UKRI
FX This research was supported by the U.K. Economic and Social Research
   Council (ES/R009708/1) Centre for Climate Change, Economics and Policy
   (CCCEP) and Research England QR-SPF at the University of Leeds.
CR [Anonymous], 2018, IMPACTS RISKS ADAPTA
   [Anonymous], 2018, SUMM POL IPCC SPEC R
   Bhave AG, 2018, WATER RESOUR RES, V54, P708, DOI 10.1002/2017WR020970
   Brohan P, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006548
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Clifford KR, 2020, CLIM SERV, V18, DOI 10.1016/j.cliser.2020.100155
   Daron J, 2019, INT J CLIMATOL, V39, P4784, DOI 10.1002/joc.6106
   Dessai S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabcdd
   Ekström M, 2015, WIRES CLIM CHANGE, V6, P301, DOI 10.1002/wcc.339
   Fiedler T, 2021, NAT CLIM CHANGE, V11, P87, DOI 10.1038/s41558-020-00984-6
   Frigg R, 2015, SYNTHESE, V192, P3979, DOI 10.1007/s11229-015-0739-8
   Fung F, 2018, UKCP18 GUIDANCE DATA
   Fung F, 2018, UKCP18 GUIDANCE CAVE
   Giorgi F, 2020, EUR PHYS J PLUS, V135, DOI 10.1140/epjp/s13360-020-00453-1
   Goldstein M, 2004, SIAM J SCI COMPUT, V26, P467, DOI 10.1137/S106482750342670X
   Helgeson C, 2018, CLIMATIC CHANGE, V149, P517, DOI 10.1007/s10584-018-2247-6
   Jack C.D., 2021, Climate Risk in Africa: Adaptation and Resilience, P17, DOI [10.1007/978-3-030-61160-62, DOI 10.1007/978-3-030-61160-62]
   Jebeile J, 2020, STUD HIST PHILOS SCI, V83, P44, DOI 10.1016/j.shpsa.2020.03.001
   Kandlikar M, 2005, CR GEOSCI, V337, P443, DOI 10.1016/j.crte.2004.10.010
   Kennedy-Asser AT, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abc4ad
   Knutti R, 2019, ONE EARTH, V1, P21, DOI 10.1016/j.oneear.2019.09.001
   Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256
   Lloyd EA, 2020, ANN NY ACAD SCI, V1469, P105, DOI 10.1111/nyas.14308
   Lowe J. A., 2019, UKCP18 science overview report
   Mahony M, 2016, MINERVA, V54, P445, DOI 10.1007/s11024-016-9302-0
   Masson D, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL046864
   Mastrandrea MD, 2011, CLIMATIC CHANGE, V108, P675, DOI 10.1007/s10584-011-0178-6
   Millner A, 2013, CLIMATIC CHANGE, V116, P427, DOI 10.1007/s10584-012-0620-4
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   Murphy JM, 2018, ASP C SER VOL 517
   Nissan H, 2020, CLIM RISK MANAG, V28, DOI 10.1016/j.crm.2020.100213
   Oakley JE., 2010, SHELF SHEFFIELD ELIC
   Otto J., 2016, Bull Am Meteorol Soc, V97, pES265, DOI [DOI 10.1175/BAMS-D-16-0173.1, 10.1175/BAMS-D-16-0173.1]
   Pacchetti MB, 2021, B AM METEOROL SOC, V102, pE476, DOI 10.1175/BAMS-D-20-0008.1
   Pacchetti MB, 2021, SYNTHESE, V198, P10377, DOI 10.1007/s11229-020-02727-8
   Parker WS, 2020, PHILOS SCI, V87, P457, DOI 10.1086/708691
   Parker WS, 2016, B AM METEOROL SOC, V97, P1565, DOI 10.1175/BAMS-D-14-00226.1
   Parker WS, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0453
   Parker WS, 2011, PHILOS SCI, V78, P579, DOI 10.1086/661566
   Pirtle Z, 2010, ENVIRON SCI POLICY, V13, P351, DOI 10.1016/j.envsci.2010.04.004
   Porter JJ, 2017, ENVIRON SCI POLICY, V77, P9, DOI 10.1016/j.envsci.2017.07.004
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Risbey JS, 2007, CLIMATIC CHANGE, V85, P19, DOI 10.1007/s10584-007-9315-7
   Risbey JS, 2011, CLIMATIC CHANGE, V108, P755, DOI 10.1007/s10584-011-0186-6
   Rummukainen M, 2016, WIRES CLIM CHANGE, V7, P145, DOI 10.1002/wcc.378
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   Sexton DMH, 2019, CLIM DYNAM, V53, P989, DOI 10.1007/s00382-019-04625-3
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Sillmann J, 2017, WEATHER CLIM EXTREME, V18, P65, DOI 10.1016/j.wace.2017.10.003
   Singh R, 2020, CLIMATIC CHANGE, V160, P385, DOI 10.1007/s10584-019-02643-y
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Stainforth DA, 2005, NATURE, V433, P403, DOI 10.1038/nature03301
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2163, DOI 10.1098/rsta.2007.2073
   Thompson E, 2016, PHILOS SCI, V83, P1110, DOI 10.1086/687942
   Thompson EL, 2019, ECONOMICS-KIEL, V13, DOI 10.5018/economics-ejournal.ja.2019-40
   Titchner HA, 2014, J GEOPHYS RES-ATMOS, V119, P2864, DOI 10.1002/2013JD020316
   Voosen P, 2020, SCIENCE, V367, P1062, DOI 10.1126/science.367.6482.1062
   Watterson IG, 2014, B AM METEOROL SOC, V95, P689, DOI 10.1175/BAMS-D-12-00136.1
   Williams KD, 2013, J CLIMATE, V26, P3258, DOI 10.1175/JCLI-D-12-00429.1
   Winsberg E, 2006, SYNTHESE, V152, P1, DOI 10.1007/s11229-004-5404-6
   Zappa G, 2017, J CLIMATE, V30, P6561, DOI 10.1175/JCLI-D-16-0807.1
NR 61
TC 3
Z9 3
U1 2
U2 14
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD SEP
PY 2021
VL 168
IS 1-2
AR 1
DI 10.1007/s10584-021-03187-w
PG 25
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 UM2GF
UT WOS:000693154200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Traore, S
   Zhang, L
   Guven, A
   Fipps, G
AF Traore, Seydou
   Zhang, Lei
   Guven, Aytac
   Fipps, Guy
TI Rice yield response forecasting tool (YIELDCAST) for supporting climate
   change adaptation decision in Sahel
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE YIELDCAST; Upland rice; Climate change; Adaptation decision support;
   Sahel; Gene-expression programming
ID CROP YIELD; REFERENCE EVAPOTRANSPIRATION; MODEL; VARIABILITY; IMPACTS;
   AFRICA; FOOD
AB Rice yield responses forecast (YIELDCAST) is a very useful decision support tool in climate adaptation in Sahel, where crops are purely rainfed climate-stressors sensitive. This study aims to construct upland rice yield responses forecasting algebraic formulation code referred as YIELDCAST by using gene-expression programming (GEP) based on observed rainfall and temperatures data (1979-2011), and forcing with global climate model (GCM) downscaled outputs under CO2 emission scenarios SR-A1B, A2 and B1 (2012-2100) over Bobo-Dioulasso, a Sahelian region. Statistically, GEP is a capable tool to downscale climate variables in the region (R = 0.746-0.949), and construct reliable rice YIELDCAST tool (R = 0.930; MSE = 0.037 ton/ha; MAE = 0.155 ton/ha, RSE = 0.137 ton/ha). Yields forecasted (2012-2100) showed a noticeable statistically significant difference between scenarios; however, fluctuating with no substantial increase (average below 1.60 ton/ha); suggesting that the increase observed in temperatures and decrease in rains will either reduced or hindered yield to largely increase in Sahel. With no such YIELDCAST tool to support adaptation decision, Sahel will still be under the trap of the broad array of adaptation strategy, which is a trial and error, less specific and costly. The model can help anticipate adaptation decision support on-farm water management, shift to suitable planting periods, and use of improved drought resistant and short duration varieties adapted to a local weather pattern.
C1 [Traore, Seydou; Fipps, Guy] Texas A&M Univ, Dept Biol & Agr Engn, Scoates Hall,Room 322, College Stn, TX 77843 USA.
   [Zhang, Lei] North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Henan, Peoples R China.
   [Traore, Seydou] Global Dev & Innovat Serv, Largo, FL 33774 USA.
   [Guven, Aytac] Gaziantep Univ, Civil Engn Dept, Hydraul Div, TR-27310 Gaziantep, Turkey.
   [Traore, Seydou] Metropolitan Solar Inc, Washington, DC 20032 USA.
C3 Texas A&M University System; Texas A&M University College Station; North
   China University of Water Resources & Electric Power; Gaziantep
   University
RP Traore, S (corresponding author), Texas A&M Univ, Dept Biol & Agr Engn, Scoates Hall,Room 322, College Stn, TX 77843 USA.; Zhang, L (corresponding author), North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Henan, Peoples R China.
EM straore@metropolitansolarinc.com; zhanglei@ncwu.edu.cn
RI Zhang, Lei/ACJ-3355-2022; Guven, Aytac/AAI-4750-2020
OI , LEI/0000-0001-5803-8667
FU National Natural Science Foundation of China [NSFC 51909092]
FX This work was financially supported by the National Natural Science
   Foundation of China (NSFC 51909092). The authors are thankful to the
   Ministry of Agriculture and Food Security of Burkina Faso and also to
   the National Research Institute for Environment and Agriculture (INERA)
   for making available the crop yields data. We also acknowledge the
   General Direction of the Meteorology under the Ministry of Transport of
   Burkina Faso for providing the meteorology data used in the study. The
   authors acknowledge Texas A&M University for providing an expertise and
   the computing environment during the study.
CR AGRAWAL R, 1982, INDIAN J AGR SCI, V52, P177
   Agrawal R., 2007, J. Ind. Soc. Agril. Statist, V61, P255
   [Anonymous], 2004, GUIDELINES USE CLIMA
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2007, 4 ASSESSMENT REPORT, DOI DOI 10.1038/446727A
   Aurbacher J, 2013, AGR SYST, V119, P44, DOI 10.1016/j.agsy.2013.04.005
   BIASUTTI M, 2019, ADV REV, V10, DOI DOI 10.1002/WCC.591
   Bocchiola D, 2013, AGR WATER MANAGE, V116, P50, DOI 10.1016/j.agwat.2012.10.009
   Monteiroto JEBD, 2013, PESQUI AGROPECU BRAS, V48, P123, DOI 10.1590/S0100-204X2013000200001
   Brands S, 2011, CLIM RES, V48, P163, DOI 10.3354/cr00906
   Cantelaube P, 2005, TELLUS A, V57, P476, DOI 10.1111/j.1600-0870.2005.00125.x
   Confalonieri R, 2009, AGRON SUSTAIN DEV, V29, P463, DOI 10.1051/agro/2009005
   Dai A, 2004, INT J CLIMATOL, V24, P1323, DOI 10.1002/joc.1083
   Dembele Y., 1994, BILAN HYDRIQUE AGRIC, P253
   Doorenbos J, 1979, 33 FAO, P201
   Droogers P., 2001, 20 INT WAT MAN I
   Felkner J, 2009, AM ECON REV, V99, P205, DOI 10.1257/aer.99.2.205
   Feng Y, 2017, AGR WATER MANAGE, V181, P1, DOI 10.1016/j.agwat.2016.11.010
   Ferreira C., 2001, Complex Systems, V13, P87
   Guven A, 2008, CLEAN-SOIL AIR WATER, V36, P905, DOI 10.1002/clen.200800009
   Guven A, 2011, IRRIGATION SCI, V29, P135, DOI 10.1007/s00271-010-0225-5
   HEINZOW T, 2003, FNU34 HAMB U CTR MAR
   HENDREY GR, 1994, AGR FOREST METEOROL, V70, P3, DOI 10.1016/0168-1923(94)90044-2
   Hulme M., 1997, ENV MANAGEMENT READI, P448
   Islam A, 2012, AGR WATER MANAGE, V110, P94, DOI 10.1016/j.agwat.2012.04.004
   Kima AS, 2014, AGR WATER MANAGE, V146, P149, DOI 10.1016/j.agwat.2014.08.007
   Kisi O, 2010, J IRRIG DRAIN ENG, V136, P715, DOI 10.1061/(ASCE)IR.1943-4774.0000244
   Laxmi RR, 2011, STAT APPL, V9, P55
   Lin ED, 2005, PHILOS T R SOC B, V360, P2149, DOI 10.1098/rstb.2005.1743
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Mi CX, 2019, ENVIRON SCI EUR, V31, DOI 10.1186/s12302-019-0202-4
   Nhamo N, 2014, AGR SYST, V131, P45, DOI 10.1016/j.agsy.2014.08.003
   Nicholls N, 1997, NATURE, V387, P484, DOI 10.1038/387484a0
   NICHOLSON SE, 1993, INT J CLIMATOL, V13, P371, DOI 10.1002/joc.3370130403
   Niu XZ, 2009, AGR ECOSYST ENVIRON, V129, P268, DOI 10.1016/j.agee.2008.09.012
   Nkomozepi T, 2012, AGR WATER MANAGE, V111, P60, DOI 10.1016/j.agwat.2012.05.004
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Prasad AK, 2006, INT J APPL EARTH OBS, V8, P26, DOI 10.1016/j.jag.2005.06.002
   SEMENOV MA, 1995, AGR FOREST METEOROL, V73, P265, DOI 10.1016/0168-1923(94)05078-K
   Shin DW, 2010, J APPL METEOROL CLIM, V49, P592, DOI 10.1175/2009JAMC2293.1
   Snehal S.S., 2014, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, V2, P683, DOI DOI 10.1016/J.INDCROP.2018.09.055.
   Soares B, 2013, ENVIRON MODELL SOFTW, V43, P80, DOI 10.1016/j.envsoft.2013.01.010
   Traore S., 2011, IRRIGATION SCI, V31, P1
   Traore S, 2013, INT J GLOBAL WARM, V5, P498, DOI 10.1504/IJGW.2013.057288
   Traore S, 2012, WATER RESOUR MANAG, V26, P4367, DOI 10.1007/s11269-012-0149-3
   Tung CP, 2009, ENVIRON MODELL SOFTW, V24, P1062, DOI 10.1016/j.envsoft.2009.02.012
   van Oort PAJ, 2018, GLOBAL CHANGE BIOL, V24, P1029, DOI 10.1111/gcb.13967
   Wang WG, 2014, AGR WATER MANAGE, V146, P249, DOI 10.1016/j.agwat.2014.08.019
   Zhang L, 2019, COMPUT ELECTRON AGR, V166, DOI 10.1016/j.compag.2019.105031
   Zhang L, 2019, AGR WATER MANAGE, V213, P499, DOI 10.1016/j.agwat.2018.09.037
   Zhang L, 2018, ARCH AGRON SOIL SCI, V64, P903, DOI 10.1080/03650340.2017.1387778
NR 52
TC 12
Z9 13
U1 1
U2 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD SEP 1
PY 2020
VL 239
AR 106242
DI 10.1016/j.agwat.2020.106242
PG 14
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA LW4CR
UT WOS:000539092600018
DA 2025-01-10
ER

PT C
AU Jung, D
   Schönberger, F
   Moraga, F
AF Jung, David
   Schonberger, Frederik
   Moraga, Francisco
BE Jung, JH
TI Agrivoltaics Over Berries in Chile: Potential for Clean Energy
   Generation and Climate Change Adaption
SO AGRIVOLTAICS WORLD CONFERENCE 2023
SE AgriVoltaics Conference Proceedings
LA English
DT Proceedings Paper
CT 4th AgriVoltaics World Conference
CY APR 12-14, 2023
CL Daegu, SOUTH KOREA
DE Agrivoltaics Potential; Evapotranspiration; Decentralization
ID WATER
AB Agrivoltaics (AV), the concept of installing photovoltaic (PV) panels on agricultural land, enabling a dual use of the surface, has the potential to foster renewable energy expansion without land use conflict and to protect water from evapotranspiration. Although there is growing interest in AV, there has been no structured analysis of its potential for clean energy generation and climate change adaptation in Chile. In this paper, we provide the first national-level estimate of the AV potential over blueberries, using a combination of filtered geo-datasets and meteorological data to quantify PV yields and impact on evapotranspiration. We find a theoretical potential of 13.4 GWp for AV over blueberries, predominantly in the central and southern regions. The derived potential for AV could provide 22% of the current national electricity generation while lowering irrigation demand by nearly 18 million m(3) per year. Finally, we identify about 8,000 GWh of current annual conventional electricity generation that could be regionally replaced by AV, showing the potential to contribute significantly to the decentralization and decarbonization of the Chilean electricity mix. Further research on the agronomic and economic aspects of AV implementation should be carried out to enable synergetic development.
C1 [Jung, David; Schonberger, Frederik; Moraga, Francisco] Fraunhofer Chile Res, Ctr Solar Energy Technol, Santiago, Chile.
RP Jung, D (corresponding author), Fraunhofer Chile Res, Ctr Solar Energy Technol, Santiago, Chile.
OI Jung, David/0000-0003-2540-6157
FU National Agency for Investigation and Development (ANID) [13CEI2-21803]
FX The authors acknowledge the generous financial support provided by the
   National Agency for Investigation and Development (ANID) under project
   13CEI2-21803.
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Banco Central Chile, 2023, PIB por clase de actividad economica, trimestral, precios corrientes
   Barron-Gafford GA, 2019, NAT SUSTAIN, V2, P848, DOI 10.1038/s41893-019-0364-5
   Beuth, 2021, DIN SPEC 91434:2021-05 Agri-photovoltaic systems-Requirements for primary agricultural use, DOI [10.31030/3257526, DOI 10.31030/3257526]
   Bryla D.R., 2011, EVAPOTRANSPIRATION F, P167, DOI [10.5772/18311, DOI 10.5772/18311]
   CEN, 2023, Reportes, Estadisticas y Plataformas de Uso Frecuente
   CR2, 2019, La megasequia 2010-2019: Una leccion para el futuro
   Dobos A. P., 2014, PVWATTS VERSION 5 MA
   EH, 2019, Transicion Hidrica: El futuro del agua en Chile. Fundacion Chile
   EH, 2018, Radiografia del Agua Brecha y Riesgo Hidrico en Chile
   Faiman D, 2008, PROG PHOTOVOLTAICS, V16, P307, DOI 10.1002/pip.813
   Haas J, 2018, ENERG POLICY, V112, P399, DOI 10.1016/j.enpol.2017.10.001
   Holmgren WF., 2018, J OPEN SOURCE SOFTW, V3, P884, DOI DOI 10.21105/JOSS.00884
   Huld T, 2012, SOL ENERGY, V86, P1803, DOI 10.1016/j.solener.2012.03.006
   meso- star, 2020, Solstice
   Ministerio de Energia, 2022, Agenda de Energia 2022-2026
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   ODEPA, 2023, Catastros fruticolas
   Odepa (Oficina de Estudios y Politicas Agrarias), 2023, ICET | Sistema de Consulta Estadistico Territorial
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Review Energy, 2022, Chile necesita agregar otros 30 GW de capacidad de fuentes de energia renovable: Diego Pardow
   Schonberger F., 2022, Assessment of Economic Synergies of Agrivoltaics in the Distributed Generation Segment in Chile -Techno-Economic Analysis and Policy Recommendation
   SEN, 2023, Energia Abierta
   SOUKA AF, 1966, SOL ENERGY, V10, P170, DOI 10.1016/0038-092X(66)90004-1
   Vremec M., 2021, pyet-a Python package to estimate potential and reference evapotranspiration, DOI [10.5194/egusphere-egu21-15008, DOI 10.5194/EGUSPHERE-EGU21-15008]
NR 25
TC 0
Z9 0
U1 1
U2 1
PU TIB Open Publishing
PI Hannover
PA Welfengarten 1 B, Hannover, GERMANY
J9 AgriVoltaics Conf Pr
PY 2023
VL 2
DI 10.52825/agripv.v2i.1032
PG 8
WC Agriculture, Multidisciplinary; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Science & Technology - Other Topics; Energy & Fuels
GA BX6JW
UT WOS:001310231600026
OA gold
DA 2025-01-10
ER

PT J
AU Gallardo-López, F
   Castellanos-Potenciano, BP
   Díaz-Padilla, G
   Pérez-Vázquez, A
   Landeros-Sánchez, C
   Sol-Sánchez, A
AF Gallardo-Lopez, Felipe
   Patricia Castellanos-Potenciano, Blanca
   Diaz-Padilla, Gabriel
   Perez-Vazquez, Arturo
   Landeros-Sanchez, Cesareo
   Sol-Sanchez, Angel
TI Cognitive dissonance in the face of climate change in beekeepers: A case
   study in Mexico
SO REVISTA MEXICANA DE CIENCIAS PECUARIAS
LA English
DT Article
DE Adaptation; Perception; Attitude; Beekeepers; Apis mellifera
ID PERCEPTIONS; FARMERS
AB Climate change in beekeeping is perceived as a relational phenomenon, and it is necessary to adopt adaptation strategies to maintain economic activity. Festinger's theory of Cognitive Dissonance helps understand the constraints to the adoption of climate change adaptation strategies. For this purpose, a survey was applied to explore the relationship between the perception, attitude, and behavior of beekeepers in the face of climate change in Mexican territory. It was noted that: 1) Beekeepers identified climate change as the main problem for beekeeping; 2) They exhibit dissonance between their attitude and their behavior regarding adaptation strategies, and 3) Cognitive dissonance is reduced through justifications for their behavior. Thus, the present state of dissonance is a limitation for adopting climate change adaptation actions, evidencing the need to modify the behavior of beekeepers, through training to inform and explain the nature of climate change and its impacts; to place the beekeepers within this context, where they can contribute technical elements that may allow them to reorient their work, promoting an objective and constructive perception, which will generate a positive attitude in the face of the challenges that climate change represents, so that they may modify their behavior as much as necessary in order to keep the activity profitable in Mexico.
C1 [Gallardo-Lopez, Felipe; Perez-Vazquez, Arturo; Landeros-Sanchez, Cesareo] Colegio Postgrad, Campus Veracruz, Manlio Fabio Altamirano, Veracruz, Mexico.
   [Patricia Castellanos-Potenciano, Blanca] Inst Nacl Invest Forestales Agr & Pecuarias, Ctr Invest Reg Pacifico Sur, Valles Centrales De Oaxa, Mexico.
   [Diaz-Padilla, Gabriel] Inst Nacl Invest Forestales Agr & Pecuarias, Ctr Invest Reg Golfo Ctr, Teocelo, Veracruz, Mexico.
   [Sol-Sanchez, Angel] Colegio Postgrad, Campus Tabasco, Cardenas, Tabasco, Mexico.
C3 Colegio de Postgraduados - Mexico; Colegio de Postgraduados - Mexico
RP Castellanos-Potenciano, BP (corresponding author), Inst Nacl Invest Forestales Agr & Pecuarias, Ctr Invest Reg Pacifico Sur, Valles Centrales De Oaxa, Mexico.
EM castellanos.blanca@inifap.gob.mx
RI ; Sol Sanchez, Angel/AAT-5173-2020
OI CASTELLANOS-POTENCIANO, BLANCA PATRICIA/0000-0002-7605-4991; Sol
   Sanchez, Angel/0000-0001-9138-641X
CR [Anonymous], 2015, FORUM QUALITATIVE SO
   Ayal DY, 2017, J ARID ENVIRON, V140, P20, DOI 10.1016/j.jaridenv.2017.01.007
   Castellanos-Potenciano B, 2017, APPL ECOL ENV RES, V15, P163, DOI 10.15666/aeer/1504_163175
   Castellanos-Potenciano B.P., 2015, GLOB SCI RES J, V3, P321
   Cisneros SP, 2015, PERCEPCION ACTITUD C
   CONAGUA, 2010, RESUMEN HURACAN KARL
   De Araujo C., 2011, BIOAGROCIENCIAS, V4, P28
   Delgado DI, 2012, FORECASTING INFLUENC, P1
   FAOSTAT, 2019, DATOS ALIMENTACION A
   Festinger L, 2017, THEORY COGNITIVE DIS
   González Gaudiano Édgar J., 2012, RMIE, V17, P1035
   Hegland SJ, 2009, ECOL LETT, V12, P184, DOI 10.1111/j.1461-0248.2008.01269.x
   Huerta G, 2008, APICULTURA DESARROLL, P25
   Lehébel-Péron A, 2016, J RURAL STUD, V44, P132, DOI 10.1016/j.jrurstud.2016.01.005
   Mabel UD, 2018, J AGRIC EXT, V22, P180, DOI 10.4314/jae.v22i2.16
   Magrin G, 2015, ADAPTACION CAMBIO CL, P80
   Mase AS, 2015, J ENVIRON PSYCHOL, V41, P166, DOI 10.1016/j.jenvp.2014.12.004
   McClelland JC, 2015, RECONSTRUCTING STUDE
   Ocampo Olga, 2011, rev.ing., P115
   Oltra C., 2009, Prisma Social: Revista de Investigacion Social, V2, P1
   Ovejero A, 1993, PSICOTHEMA, V5, P201
   Paraiso A. A., 2012, African Crop Science Journal, V20, P523
   Pelaez GM, 2015, REV ARAN AMB, V30
   Ramoa-Meza J, 2018, Rev Mun FESC, V7, P31
   Scheaffer R.L, 2006, Elementos de muestreo, Vsixth
   SIAP, 2017, AN EST
   Smith WJ, 2014, ENVIRON SCI POLICY, V42, P101, DOI 10.1016/j.envsci.2014.03.007
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   van der Linden S., 2017, The Oxford Encyclopedia of Climate Change Communication, DOI [10.1093/acrefore/9780190228620.013.318, DOI 10.1093/ACREFORE/9780190228620.013.318, 10.2139/ssrn.2953631]
   Vergara W, 2014, AGRICULTURA CLIMA FU, P24
NR 30
TC 5
Z9 5
U1 4
U2 20
PU INIFAP-CENID PARASITOLOGIA VETERINARIA
PI JIUTEPEC C P
PA CARRETERA FEDERAL CUERNAVACA-CUAUTIA NO 8534, COL PROGRESSO, JIUTEPEC C
   P, 06300 D F, MEXICO
SN 2007-1124
EI 2448-6698
J9 REV MEX CIENC PECU
JI Rev. Mex. Cienc. Pecu.
PD JAN-MAR
PY 2021
VL 12
IS 1
BP 238
EP 255
DI 10.22319/rmcp.v12i1.5213
PG 18
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA SS6MM
UT WOS:000661868900016
OA gold
DA 2025-01-10
ER

PT J
AU Ma, YG
   Thornton, TF
   Mangalagiu, D
   Lan, J
   Hestad, D
   Cappello, EA
   Van der Leeuw, S
AF Ma, Yuge
   Thornton, Thomas F.
   Mangalagiu, Diana
   Lan, Jing
   Hestad, Dina
   Cappello, Elena Apostoli
   Van der Leeuw, Sander
TI Co-creation, co-evolution and co-governance: understanding green
   businesses and urban transformations
SO CLIMATIC CHANGE
LA English
DT Article
DE Green business; Urban transformations; Social innovation; Collaborative
   governance; Value co-creation; Co-evolution; Cities
ID CLIMATE-CHANGE; SHARING ECONOMY; SOCIAL ACTORS; SUSTAINABILITY;
   GOVERNANCE; INNOVATION; ADAPTATION; FRAMEWORK; CITIES; ENERGY
AB Green businesses based on economic, social and technological innovations are engines of green growth and climate change adaptation across the world. However, without proper interactive mechanisms with the city, green businesses are particularly vulnerable in today's fast-changing socio-economic and political urban contexts. Existing research on climate change adaptation and low-carbon transitions have not explained the crucial components and mechanisms involved in realising sustainable transformations through green businesses in cities. Synthesizing the latest green innovation and urban transformation literature, the paper analyses four distinctive urban green business cases: free-floating bike sharing in Shanghai (Mobike), a renewable energy cooperative in Girona (Som Energia), urban agriculture in Venice and green building start-ups in Istanbul. Based on a comparative analysis, we theorize a 3-Co model to explain the city-green-business transformation process consisting of: first, co-creation of sustainable values between green business and the respective society; second, co-evolution between the business ecosystem and the city's visions and policies; and third, co-governance of sustainable trade-offs during the business development and implementation process.
C1 [Ma, Yuge; Thornton, Thomas F.; Hestad, Dina] Univ Oxford, Environm Change Inst, Oxford OX1 3QR, England.
   [Thornton, Thomas F.] Univ Alaska, Sch Arts & Sci, Juneau, AK USA.
   [Mangalagiu, Diana] NEOMA Business Sch, F-76130 Mont St Aignan, France.
   [Lan, Jing] Henan Univ Econ & Law, Sch Econ, Zhengzhou, Henan, Peoples R China.
   [Cappello, Elena Apostoli; Van der Leeuw, Sander] Univ Ca Foscari Venezia, European Ctr Living Technol, Venice, VE, Italy.
C3 University of Oxford; NEOMA Business School; Henan University of
   Economics & Law; Universita Ca Foscari Venezia
RP Lan, J (corresponding author), Henan Univ Econ & Law, Sch Econ, Zhengzhou, Henan, Peoples R China.
EM jing_lan@126.com
RI Hestad, Dina/AAG-5985-2019; Thornton, Tom/AAJ-5105-2020; apostoli
   cappello, elena/ABD-1531-2021; van der Leeuw, Sander/AAF-7850-2019
OI Mangalagiu, Diana/0000-0002-0640-1871; Hestad, Dina/0000-0002-4284-7459;
   apostoli cappello, elena/0000-0003-3395-8437
FU EU [642018]
FX This research is part of the EU-funded H2020 project GREEN-WIN-Green
   Growth and Win-Win Strategies for Sustainable Climate Action (Grant
   Agreement No 642018; www.green-win-project.eu).
CR Akenji L, 2014, J CLEAN PROD, V63, P13, DOI 10.1016/j.jclepro.2013.05.022
   [Anonymous], 2016, EPRG WORKING PAPER 1
   [Anonymous], 2014, 5 ASS REP
   [Anonymous], 2004, ECOL SOC
   [Anonymous], 2017, SHARING LANDSCAPES D
   Ballard D., 2005, ACTION RES-LONDON, V3, P135, DOI [DOI 10.1177/1476750305052138, 10.1177/1476750305052138]
   Becker S, 2017, J CLEAN PROD, V147, P25, DOI 10.1016/j.jclepro.2017.01.048
   Bisaro A, 2016, NAT CLIM CHANGE, V6, P354, DOI 10.1038/NCLIMATE2936
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Cohen B, 2016, CALIF MANAGE REV, V59, P5, DOI 10.1177/0008125616683951
   Cohen B, 2014, ORGAN ENVIRON, V27, P279, DOI 10.1177/1086026614546199
   d'Angelo MJ, 2014, INT J SUST DEV WORLD, V21, P273, DOI 10.1080/13504509.2014.902868
   Dyllick T, 2016, ORGAN ENVIRON, V29, P156, DOI 10.1177/1086026615575176
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Farla J, 2012, TECHNOL FORECAST SOC, V79, P991, DOI 10.1016/j.techfore.2012.02.001
   Foster Sheila., 2015, SSRN ELECT J, DOI [10.2139/ssrn.2653084, DOI 10.2139/SSRN.2653084]
   Geels FW, 2018, ENERGY RES SOC SCI, V37, P224, DOI 10.1016/j.erss.2017.10.010
   Geels FW, 2014, RES POLICY, V43, P261, DOI 10.1016/j.respol.2013.10.006
   Geels FW, 2010, RES POLICY, V39, P495, DOI 10.1016/j.respol.2010.01.022
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Grabs J, 2016, J CLEAN PROD, V134, P98, DOI 10.1016/j.jclepro.2015.10.061
   Griffin L, 2010, ENVIRON POLICY GOV, V20, P365, DOI 10.1002/eet.555
   Hendriks F, 2014, URBAN AFF REV, V50, P553, DOI 10.1177/1078087413511782
   Hodson M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020299
   Holden E, 2014, GLOBAL ENVIRON CHANG, V26, P130, DOI 10.1016/j.gloenvcha.2014.04.006
   Iaione C, 2017, ITAL J PUBLIC LAW, V80
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kummitha RKR, 2017, CITIES, V67, P43, DOI 10.1016/j.cities.2017.04.010
   Lan J, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091504
   Lillo P, 2014, QUEENS POLIT REV, V2, P25
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Ma Y, 2018, J CLEAN PROD, V197, P356, DOI 10.1016/j.jclepro.2018.06.213
   Ma YG, 2018, J CLEAN PROD, V188, P942, DOI 10.1016/j.jclepro.2018.03.323
   Martin CJ, 2016, J CLEAN PROD, V134, P204, DOI 10.1016/j.jclepro.2015.04.062
   Martin CJ, 2016, ECOL ECON, V121, P149, DOI 10.1016/j.ecolecon.2015.11.027
   Maxwell J. A., 1996, QUALITATIVE RES DESI
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Patterson J., 2015, TRANSFORMATIONS SUST
   Pellicer-Sifres V, 2018, ENERGY RES SOC SCI, V42, P100, DOI 10.1016/j.erss.2018.03.001
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Prahalad CK, 2004, J INTERACT MARK, V18, P5, DOI 10.1002/dir.20015
   Ritzer G, 2015, SOCIOL FORUM, V30, P1, DOI 10.1111/socf.12142
   Rohracher H, 2014, URBAN STUD, V51, P1415, DOI 10.1177/0042098013500360
   Rong K., 2015, Business Ecosystems - Constructs, Configurations, and the Nurturing Process
   Truffer B, 2012, REG STUD, V46, P1, DOI 10.1080/00343404.2012.646164
   Vargo S., 2010, Journal of Business Market Management, V4, P169, DOI [10.1007/s12087-010-0046-0, DOI 10.1007/S12087-010-0046-0]
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Westman L, 2019, BUS STRATEG ENVIRON, V28, P388, DOI 10.1002/bse.2256
   Wiek A, 2012, SUSTAIN SCI, V7, P5, DOI 10.1007/s11625-011-0148-y
   Wolfram M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020144
NR 51
TC 25
Z9 25
U1 6
U2 135
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 2020
VL 160
IS 4
SI SI
BP 621
EP 636
DI 10.1007/s10584-019-02541-3
EA OCT 2019
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA MJ2BP
UT WOS:000491402200002
OA Bronze
DA 2025-01-10
ER

PT J
AU Ofoegbu, C
   Chirwa, PW
   Francis, J
   Babalola, FD
AF Ofoegbu, Chidiebere
   Chirwa, P. W.
   Francis, J.
   Babalola, F. D.
TI Assessing local-level forest use and management capacity as a
   climate-change adaptation strategy in Vhembe district of South Africa
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE participatory forest management; rural community; forest resources;
   climate change; capacity; coping strategy
ID NATURAL-RESOURCES; RESILIENCE; DECENTRALIZATION; LAND
AB Community-based forest management is a key climate change adaptation initiative in South Africa. It is aimed at enhancing the sustainability of rural household livelihoods and livelihood resilience against climate variability and change. However, lack of capacity at local household level could negate the intended benefits of community-based participatory forest management initiatives. This paper examines the local-level forest use and management capacity of rural households in Vhembe district of South Africa with respect to their adaptation strategy to climate change using the concept of livelihood resilience. A stratified proportionate random sampling technique was used to select 366 households from the study area, which were then sampled through a household questionnaire survey. The results showed that households' capacity to participate in, and community leadership ability to mobilize people for participatory forest management was low. Nevertheless, the results revealed a widespread aspiration in the study communities to take part in forest management and development initiatives. This calls for the need for significant technical support for households and community leaders towards promoting participatory forest management as a way of ensuring efficiency and effectiveness of forest-based adaptation interventions.
C1 [Ofoegbu, Chidiebere; Chirwa, P. W.; Babalola, F. D.] Univ Pretoria, Forest Sci Postgrad Programme, 5-15 Plant Sci Complex, Pretoria, South Africa.
   [Francis, J.] Univ Venda, Inst Rural Dev, ZA-0950 Thohoyandou, South Africa.
   [Babalola, F. D.] Univ Ilorin, Dept Forest Resources Management, Ilorin, Nigeria.
   [Ofoegbu, Chidiebere] Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Rondebosch, South Africa.
C3 University of Pretoria; University of Venda; University of Ilorin;
   University of Cape Town
RP Ofoegbu, C (corresponding author), Univ Pretoria, Forest Sci Postgrad Programme, 5-15 Plant Sci Complex, Pretoria, South Africa.; Ofoegbu, C (corresponding author), Univ Cape Town, African Climate & Dev Initiat, ZA-7700 Rondebosch, South Africa.
EM ofoegbu.c@gmail.com
RI Francis, Joseph/AAK-3951-2021; Ofoegbu, Chidiebere/Q-8372-2019;
   Babalola, Folaranmi/AAD-9791-2020
OI Ofoegbu, Chidiebere/0000-0002-8920-9411; Chirwa,
   Paxie/0000-0002-7544-973X; Babalola, Folaranmi D./0000-0002-8837-0991
FU South Africa National Research Foundation [UID: 82942]
FX This work was supported by the South Africa National Research Foundation
   [grant number UID: 82942].
CR [Anonymous], 2005, DRAFT KEY ISS PAP FO
   [Anonymous], THESIS
   [Anonymous], 2012, Government Gazette (Gazette No. 34695, Notice No. 757
   [Anonymous], 2010, 08011 CEE
   [Anonymous], 253 DWAF
   [Anonymous], 2003, CLASSIFICATION SYSTE
   Benkenstein A., 2014, Community forests in Namibia: Ensuring sustainable local-level forest management
   Berliner D.D., 2005, Systematic Conservation Planning for the Forest Biome of South Africa. Approach, Methods and Results of the Selection of the Priority Forests for Conservation Action
   Bethlehem J., 2015, Applied survey methods: A statistical perspective
   Chamberlain D, 2005, CONTRIBUTION COSTS 1
   Chirwa PW, 2015, LAND USE POLICY, V46, P65, DOI 10.1016/j.landusepol.2015.01.021
   Clewer A.G., 2001, Practical statistics and experimental design for plant and crop science, P1
   CoGTA (Department of Cooperative Governance and Traditional Affairs), 2012, VHEMB DISTR MUN PROF
   Connelly Elizabeth B., 2017, Environment Systems & Decisions, V37, P46, DOI 10.1007/s10669-017-9634-9
   DEAT (Department of Environmental Affairs and Tourism), 2004, NAT CLIM CHANG RESP
   DEPARTMENT OF AGRICULTURE FISHERIES AND FORESTRY (DAFF), 2010, POL PRINC GUID CONTR
   Dlamini C.S., 2014, AFRICAN FOREST FORUM, V2, P39
   Fabricius C., 2004, Rights, Resources and Rural Development, P3
   Fearnside PM, 2000, CLIMATIC CHANGE, V46, P115, DOI 10.1023/A:1005569915357
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Hajost S., 2013, Lessons learned from community forestry and their relevance for REDD+
   Holmes-Watts T, 2008, FOREST POLICY ECON, V10, P435, DOI 10.1016/j.forpol.2008.02.005
   Isaacs M., 2000, 8 BIENN C INT ASS ST
   Isager L., 2002, PEOPLE S PARTICIPATI, P1
   Larson AM, 2003, PUBLIC ADMIN DEVELOP, V23, P211, DOI 10.1002/pad.271
   Leipold S, 2014, FOREST POLICY ECON, V40, P12, DOI 10.1016/j.forpol.2013.12.005
   Levesque R., 2007, SPSS PROGRAMMING DAT, V4th
   Lewis F., 2003, A review of poverty in South Africa in relation to forest-based opportunities
   Linkd, 2013, CLIM CHANG AD SECT S
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Locatelli B., 2010, IUFRO World Series, V25, P21
   Mpandeli S., 2014, Journal of Sustainable Development, V7, P68
   Munyanduki P., 2014, THESIS
   Muoghalu J I., 2012, Climate vulnerability of biophysical and socio-economic systems and a description of some permanent sample plots in moist tropical forests in West and Central Africa: A platform for stakeholders in African forestry
   Musyoki A., 2012, The emerging policy for green economy and social development in Limpopo, South Africa
   Naidoo S., 2013, Forests, rangelands and climate change in southern Africa
   Natasha Holmes Tania, 2007, THESIS
   Nelson F, 2008, DEV CHANGE, V39, P557, DOI 10.1111/j.1467-7660.2008.00496.x
   Nkem J., 2007, Journal of SAT Agricultural Research, V4, P1
   Ole-Meiludie R. E., 2006, 49876134SUA DEP FOR
   Patosaari P, 2007, 60 ANN DPI NGO C CLI
   Paumgarten F, 2011, POPUL ENVIRON, V33, P108, DOI 10.1007/s11111-011-0137-1
   Perlis A., 2009, INT J FORESTRY FORES, V60, P5
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Quinn CH, 2011, ECOL SOC, V16, DOI 10.5751/ES-04216-160302
   Ribot JC, 2003, PUBLIC ADMIN DEVELOP, V23, P53, DOI 10.1002/pad.259
   Rosmarin J., 2013, VHEMBE BIOSPEHERE RE
   Sallu SM, 2010, ECOL SOC, V15
   Sen A, 2004, PHILOS PUBLIC AFF, V32, P315, DOI 10.1111/j.1088-4963.2004.00017.x
   Shackleton C M., 2004, Assessment of the livelihoods importance of forestry, forests and forest products in South Africa
   Shackleton CM, 2007, FOREST POLICY ECON, V9, P558, DOI 10.1016/j.forpol.2006.03.004
   Shackleton S., 2002, ODI Natural Resource Perspectives
   Shackleton S, 2001, DEVOLUTION NATURAL R
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Smith J., 2002, 37 CIFOR, DOI [10.17528/cifor/001086, DOI 10.17528/CIFOR/001086]
   Somorin O. A., 2010, African Journal of Environmental Science and Technology, V4, P903
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Sunderlin WD, 2005, WORLD DEV, V33, P1383, DOI 10.1016/j.worlddev.2004.10.004
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Tompkins E. L., 2004, Ecology and Society, V9, P10
   Tschakert P, 2010, ECOL SOC, V15
   Turpie J., 2013, Financial and Fiscal Commission. Submission for the 2013/14 Division of Revenue, P100
   Turyahabwe N., 2006, Southern African Forestry Journal, P63
   Underwood M., 1999, 24D RDFN
   United Nations Development Programme, 2013, COMM BAS SUST LAND M
   Vedeld P., 2004, ENV EC SERIES
   Wiersum KF, 1997, AGR ECOSYST ENVIRON, V63, P1, DOI 10.1016/S0167-8809(96)01124-3
   Wongbusarakum S., 2011, First draft for public circulation and field testing
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 69
TC 9
Z9 9
U1 0
U2 15
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 3
PY 2019
VL 11
IS 6
BP 501
EP 512
DI 10.1080/17565529.2018.1447904
PG 12
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA IE8QV
UT WOS:000472639200004
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Matthews, T
   Potts, R
AF Matthews, Tony
   Potts, Ruth
TI Planning for climigration: a framework for effective action
SO CLIMATIC CHANGE
LA English
DT Article
ID CLIMATE-CHANGE; ADAPTATION; RELOCATION; BENEFITS; REVIEWS; COSTS
AB The phenomenon of 'climigration' is an emerging and increasing challenge to human settlements. Climigration refers to community relocation undertaken in response to climate change impacts. This paper adds to early but critical scholarly discussions by providing a land-use planning framework for organising and responding to the governance, policy, institutional and cultural implications of climigration. This paper argues that land-use planning will be increasingly required to manage climigration events over the coming decades and will rely on input and guidance from other disciplines to do so effectively. Climigration is conceptualised as an end-point of climate change adaptation in this paper. Empirical content derives from a multidisciplinary systematic quantitative literature review of international case studies of community relocations. Planning factors with critical, moderate or negligible influences on relocation success are synthesised. These are linked to the roles and functions of land-use planning systems to provide a framework for approaching climigration. The paper provides three interlinked conclusions. The first is that spatial planning systems have potential and capacity to respond to climigration as an extreme form of climate change adaptation. The second is that anticipatory policy frameworks offer the greatest advantages for successful climigration planning. The third conclusion is that maladaptation is a potential but avoidable threat connected to climigration planning.
C1 [Matthews, Tony] Griffith Univ, Sch Environm & Sci, Nathan, Qld 4111, Australia.
   [Potts, Ruth] Cardiff Univ, Sch Geog & Planning Sci & Engn, Cardiff CF10 3WA, S Glam, Wales.
C3 Griffith University; Cardiff University
RP Matthews, T (corresponding author), Griffith Univ, Sch Environm & Sci, Nathan, Qld 4111, Australia.
EM t.matthews@griffith.edu.au; pottsr1@cardiff.ac.uk
RI Potts, Ruth/O-5613-2017
OI Matthews, Tony/0000-0003-0838-5462
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2011, Migration Law
   Badri SA, 2006, DISASTERS, V30, P451, DOI 10.1111/j.0361-3666.2006.00332.x
   Bronen R., 2011, NYU Review of Law and Social Change, V35, P357
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Cheong SM, 2011, CLIMATIC CHANGE, V106, P57, DOI 10.1007/s10584-010-9996-1
   Coppola D.P., 2006, INTRO INT DISASTER M, DOI DOI 10.1016/B978-0-12-407849-9.00055-5
   Daveport C, 2016, NY TIMES
   DAVID E, 1984, J AM PLANN ASSOC, V50, P22, DOI 10.1080/01944368408976579
   FEMA (Federal Emergency Management Agency) and APA (American Planning Association), 2005, POL GUID PLANN POST
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Friedmann J, 2008, J PLAN EDUC RES, V28, P247, DOI 10.1177/0739456X08325220
   Gleeson B, 2008, URBAN STUD, V45, P2653, DOI 10.1177/0042098008098198
   Guitart D, 2012, URBAN FOR URBAN GREE, V11, P364, DOI 10.1016/j.ufug.2012.06.007
   Guston DH, 2000, REP WORKSH BOUND ORG
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Healey P., 1997, Collaborative planning: Shaping places in a fragmented society
   IFC (International Finance Corporation), 2002, HDB PREP RES ACT PLA
   Imura M., 2009, Asian Journal of Environment and Disaster Management (AJEDM) - Focusing on Pro-active Risk Reduction in Asia, V01, P197, DOI DOI 10.3850/S1793924009000029
   Klein J, 2016, REG ENVIRON CHANGE, V16, P815, DOI 10.1007/s10113-015-0797-y
   Leckie S, 2014, R ST DEVEL DISPLACE, P1
   Leckie S, 2014, R ST DEVEL DISPLACE, P341
   Levy J.M., 2017, Contemporary urban planning
   Mahony M, 2013, GEOFORUM, V49, P29, DOI 10.1016/j.geoforum.2013.05.005
   Maldonado JK, 2013, CLIMATIC CHANGE, V120, P601, DOI 10.1007/s10584-013-0746-z
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P374, DOI 10.1016/j.gloenvcha.2011.09.016
   Matthews T, 2011, P WORLD PLANN SCH C
   Matthews T, 2013, PLAN THEORY PRACT, V14, P198, DOI 10.1080/14649357.2013.781208
   Measham T. G., 2011, MITIGATION ADAPTATIO, V14, P251
   Nilsson B, 2010, EUR URBAN REG STUD, V17, P433, DOI 10.1177/0969776410369045
   Niven RJ, 2013, REG ENVIRON CHANGE, V13, P193, DOI 10.1007/s10113-012-0315-4
   OLIVERSMITH A, 1991, DISASTERS, V15, P12, DOI 10.1111/j.1467-7717.1991.tb00423.x
   Perry R.W., 1997, J CONTING CRISIS MAN, V5, P49, DOI DOI 10.1111/1468-5973.00036
   Petticrew M, 2001, BMJ-BRIT MED J, V322, P98, DOI 10.1136/bmj.322.7278.98
   Pickering C, 2014, HIGH EDUC RES DEV, V33, P534, DOI 10.1080/07294360.2013.841651
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Rupprecht CDD, 2014, URBAN FOR URBAN GREE, V13, P597, DOI 10.1016/j.ufug.2014.09.002
   Shipley R, 2012, J PLAN LIT, V27, P22, DOI 10.1177/0885412211413133
   Shriver TE, 2005, RURAL SOCIOL, V70, P491, DOI 10.1526/003601105775012679
   Sipe N, 2014, J AM PLANN ASSOC, V80, P400, DOI 10.1080/01944363.2014.976586
   Sovacool BK, 2012, CLIMATIC CHANGE, V114, P295, DOI 10.1007/s10584-011-0392-2
   Stal M, 2011, INT MIGR, V49, pe125, DOI 10.1111/j.1468-2435.2010.00667.x
NR 44
TC 16
Z9 17
U1 1
U2 17
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2018
VL 148
IS 4
BP 607
EP 621
DI 10.1007/s10584-018-2205-3
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GI6DH
UT WOS:000434459200012
DA 2025-01-10
ER

PT J
AU Lund, DH
AF Lund, Dorthe Hedensted
TI Governance innovations for climate change adaptation in urban Denmark
SO JOURNAL OF ENVIRONMENTAL POLICY & PLANNING
LA English
DT Article
DE Climate change adaptation; collaborative governance; innovation;
   institutional challenges
ID BARRIERS; POLICY; ACTORS; DILEMMAS; SYSTEM; SCOPE
AB Urban areas worldwide are challenged by climate change and urban flooding. Within the academic literature, adaptive measures that can be integrated into other issues such as recreation, nature reserves, and social issues are considered the way forward. Adaptation has recently become a mandatory planning theme for Danish municipalities, which in the absence of established practices are struggling to find the best institutional set-up to address adaptation as an integrated issue. Based on a case study of an integrated project organised as a partnership, this article identifies and discusses governance challenges that must be addressed if municipalities are to benefit from synergies through integrated projects. The municipality in question has established a partnership with housing organisations, foundations, and a utility company as well as facilitated a dialogue with citizens and institutions to address flooding threats and social issues at the neighbourhood scale. Because of strong political and leadership support, funding from partners, and good project facilitation both partners and politicians are enthusiastic about the project and its potential. Several challenges, however, needed to be addressed, particularly in relation to clashing norms from different governance paradigms. This is an issue requiring more attention both in research and practice.
C1 [Lund, Dorthe Hedensted] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
C3 University of Copenhagen
RP Lund, DH (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
EM dhlund@gmail.com
RI Lund, Dorthe Hedensted/C-9317-2015
OI Lund, Dorthe Hedensted/0000-0002-5505-1353
FU Realdania
FX This work was supported by Realdania.
CR Alvesson M., 2000, REFLEXIVE METHODOLOG
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2016, Scientific report from DCE-Danish Centre for Environment and Energy, Issue)
   Biermann F, 2012, SCIENCE, V335, P1306, DOI 10.1126/science.1217255
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Blomqvist K., 2006, International Journal of Management Concepts and Philosophy, V2, P31
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Brown RR, 2005, ENVIRON MANAGE, V36, P455, DOI 10.1007/s00267-004-0217-4
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grin, 2010, TRANSITIONS SUSTAINA, P221, DOI DOI 10.4324/9780203856598
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Haug C, 2010, CLIMATIC CHANGE, V101, P427, DOI 10.1007/s10584-009-9682-3
   Hovik S, 2015, ENVIRON PLANN C, V33, P104, DOI 10.1068/c1230h
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jensen JS, 2016, J ENVIRON POL PLAN, V18, P234, DOI 10.1080/1523908X.2015.1074062
   Kiib, 1996, STRUKTURANALYSE
   Klein J, 2017, ENVIRON PLAN C-POLIT, V35, P1055, DOI 10.1177/0263774X16680819
   Klijn EH, 2016, GOVERNANCE NETWORKS IN THE PUBLIC SECTOR, P1
   Klijn E.H., 2007, Theories of democratic network governance, P199
   Klijn E.-H., 2010, The new public governance? Emerging perspectives on the theory and practice of public governance, P303
   Kokkedal K., 2012, DEMOGRAFISK BLIK KOK
   Lund D. H., 2013, TI KLIMATILPASNINGSP
   Lund D. H., 2016, IMPLEMENTERING TI KL
   Lund DH, 2012, LOCAL ENVIRON, V17, P613, DOI 10.1080/13549839.2012.678318
   Mees H, 2017, J ENVIRON POL PLAN, V19, P374, DOI 10.1080/1523908X.2016.1223540
   Mees HLP, 2012, J ENVIRON POL PLAN, V14, P305, DOI 10.1080/1523908X.2012.707407
   Moore M, 2008, PUBLIC MANAG REV, V10, P3, DOI 10.1080/14719030701763161
   Neuman W. L., 2006, Social research methods: qualitative and quantitative approaches, V6th
   Nordsjaellands politi, 2014, LOK TRUSS SUB VURD
   Osborne S.P., 2010, NEW PUBLIC GOVERNANC, P1, DOI DOI 10.4324/9780203861684-7/INTRODUCTION-NEW-PUBLIC-GOVERNANCE-SUITABLE-CASE-TREATMENT-STEPHEN-OSBORNE
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   SCHARPF FW, 1994, J THEOR POLIT, V6, P27, DOI 10.1177/0951692894006001002
   Sehested K., 2002, International Journal of Public Administration, V25, P1513, DOI DOI 10.1081/PAD-120014259
   Sehested K, 2009, PLAN THEORY PRACT, V10, P245, DOI 10.1080/14649350902884516
   Sorensen E., 2012, Innovation Journal, V17, P2
   Sorensen E., 2007, Theories of democratic network governance
   Sorensen E, 2011, ADMIN SOC, V43, P842, DOI 10.1177/0095399711418768
   Stake Robert., 2005, The Sage handbook o f qualitative research, V3ra, P443, DOI DOI 10.1108/09504120610655394
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Swart R, 2014, J ENVIRON POL PLAN, V16, P55, DOI 10.1080/1523908X.2013.817947
   Taylor A, 2012, J ENVIRON MANAGE, V98, P84, DOI 10.1016/j.jenvman.2011.12.001
   Tennekes J, 2014, J ENVIRON POL PLAN, V16, P241, DOI 10.1080/1523908X.2013.836961
   Uittenbroek CJ, 2016, J ENVIRON POL PLAN, V18, P161, DOI 10.1080/1523908X.2015.1065717
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Vaaben N., 2013, OKONOMI POLITIK, V2, P67
   Wejs A, 2014, ENVIRON PLANN C, V32, P1017, DOI 10.1068/c1215
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Zolner M, 2006, METHODS IN DEMOCRATIC NETWORK GOVERNANCE, P125
NR 55
TC 10
Z9 12
U1 3
U2 25
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1523-908X
EI 1522-7200
J9 J ENVIRON POL PLAN
JI J. Environ. Pol. Plan.
PY 2018
VL 20
IS 5
BP 632
EP 644
DI 10.1080/1523908X.2018.1480361
PG 13
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA GO4KD
UT WOS:000439975000006
DA 2025-01-10
ER

PT S
AU Leal, KLR
   Carreño, JN
AF Leal, K. Lorena Romero
   Neira Carreno, Julian
BE Segal, MT
   Demos, V
TI INDIGENOUS WOMEN AND CLIMATE CHANGE IN THE COLOMBIAN AMAZON
SO PEOPLE, SPACES AND PLACES IN GENDERED ENVIRONMENTS
SE Advances in Gender Research
LA English
DT Article; Book Chapter
DE Indigenous organizations; chagra; conservation; care work; ecological
   native; Amazonia
AB Women's indigenous organizations have existed for years in the Colombian Amazon. Yet, information about their members' motivations and the opportunities and barriers those organizations face is missing in the literature on the indigenous movement, ecofeminist struggles, and efforts for a good life in Colombia. This chapter analyzes the connection between women's indigenous organizations and the territory's efforts to contain climate change. Two sources inform our understanding of the relationship: the systematization of the main program in Colombian institutional history supporting indigenous women's led associations linked to conservation efforts, "Women Caregivers of the Amazon" and the mapping of indigenous women's organizations in the region. This chapter offers a critical impact evaluation of the program "Women Caregivers of the Amazon," analyzing the way in which the ecological native discourse, particularly on environmental practices of indigenous women, has permeated conservation initiatives in the Colombian Amazon. The impact this has had on women's participation in self-governance and environmental governance remains to be analyzed. However, mapping indigenous women's organizations in 2021 offered relevant information on those organizations and their care and conservation practices in the Amazon Forest. In turn, the systematization of "Caregivers of the Amazon" results offers an updated analysis of the scope, limitations, best practices, and lessons learned in developing the projects. A longitudinal and comparative analysis of these two sources of information will lead to an understanding of the incidence of intergovernmental and civil society actions for mitigation and adaptation to climate change carried out by indigenous women's organizations.
C1 [Leal, K. Lorena Romero] Univ Florida, Anthropol, Gainesville, FL 32611 USA.
   [Neira Carreno, Julian] Fdn Tropenbos Colombia, Bogota, Colombia.
C3 State University System of Florida; University of Florida
RP Leal, KLR (corresponding author), Univ Florida, Anthropol, Gainesville, FL 32611 USA.
CR Aviles M., 2008, Master's thesis
   Bravo A, 2019, Rita, V1, P1
   Cabnal L., 2015, Women defending territory, experiences of participation in Latin America, P41
   COICA, 2021, Mandato de la I Cumbre Cumbre de Mujeres Originarias de la Cuenca Amazonica.
   Cruz HernandezD., 2020, Cuerpos, territorios y feminismos: Compilacion latinoamericana de teorias, methologias y practicas politicas [Bodies, territories, and feminisms: A Latin American compilation of political theories, methodologies, and practices], VFirst
   Elias M., 2016, CAB Reviews, V11, P1, DOI 10.1079/PAVSNNR201611040
   Fundacion Ideas para la Paz FIP & Adelphi, 2021, UN CLIMA PELIGROSO: Deforestacion, cambio climatico y violencia contra los defensores ambientales en la Amazonia colombiana
   Instituto de Hidrologia Metereologia y Estudios Ambientales IDEAM, 2022, Boletin, V33
   Kuiru F., 2019, Master's thesis,, DOI [10.48713/1033619447, DOI 10.48713/1033619447]
   Mujeres Cuidadoras de la Amazonia, 2022, Declaratoria nacional de las mujeres indigenas para salvaguardar toda la diversidad biologica, etnica, cultural en la region amazonica
   Nightingale A, 2006, ENVIRON PLANN D, V24, P165, DOI 10.1068/d01k
   Organizacion Nacional de los pueblos indigenas de Colombia OPIAC, 2023, Miembros de la OPIAC.
   Pineda RobertoCamacho., 2000, HOLOCAUSTO AMAZONAS
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Romero K., 2022, Feminismo y ambiente. Un campo emergente en los estudios feministas de America Latina y el Caribe, P13
   Scientific Panel for the Amazon, 2023, The role of Amazonian indigenous peoples in fighting the climate crisis Policy brief
   Ulloa Astrid, 2016, Nómadas, P123
   Ulloa Astrid., 2010, ECOLOGICAL NATIVE IN
   van der Hammen M., 1992, El manejo del mundo. Naturaleza y sociedad entre los Yukuna de la Amazonia colombiana. Estudios en la Amazonia Colombiana
   Vision Amazonia, 2023, Vision Amazonia y sus proyectos.
   Viveros Vigoya M., 2016, Debate Feminista, V52, P1, DOI [10.1016/j.df.2016.09.005, DOI 10.1016/J.DF.2016.09.005, 10.1016/J.DF.2016.09.005]
   Zuluaga G., 2020, Las luchas por los comunes y las alternativas al desarrollo frente al extractivismo, P299
NR 22
TC 0
Z9 0
U1 0
U2 0
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY, W YORKSHIRE BD16 1WA, ENGLAND
SN 1529-2126
BN 978-1-83797-893-9; 978-1-83797-894-6
J9 ADV GEND RES
PY 2024
VL 34
BP 123
EP 143
DI 10.1108/S1529-212620240000034008
PG 21
WC Environmental Studies; Geography; Women's Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Geography; Women's Studies
GA BX3AL
UT WOS:001274126900008
DA 2025-01-10
ER

PT J
AU Boussetta, A
   Niculescu, S
   Bengoufa, S
   Zagrarni, MF
AF Boussetta, Amina
   Niculescu, Simona
   Bengoufa, Soumia
   Zagrarni, Mohamed Faouzi
TI Deep and machine learning methods for the (semi-)automatic extraction of
   sandy shoreline and erosion risk assessment basing on remote sensing
   data (case of Jerba island -Tunisia)
SO REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
LA English
DT Article
DE Machine learning; Deep learning; Erosion; Landsat-TM; Sentinel-2
ID LAND-COVER; CLASSIFICATION; SEGMENTATION; MULTIRESOLUTION; COAST
AB Against the backdrop of the environmental crisis, the socio-economic, ecological and cultural importance of the coastal zone calls for greater awareness of how coastal resources function, evolve, are managed and enhanced. This study aims to develop a high-performance (semi-) automatic coastal monitoring method based on Landsat-5 and Sentinel-2 multispectral satellite images for spatiotemporal analysis of shoreline changes and erosion risk assessment along Jerba Island (Tunisia) using remote sensing data and geospatial tools. A comparative study between the band ratioing (BR) method and the pixel-based image analysis (PBIA) and object-based image analysis (OBIA) methods has led to the development of machine learning (ML), random forest (RF), deep learning (DL) and convolutional neural network (CNN) algorithms. Using these classification methods, 15 different shorelines were successively detected in 1989, 2015 and 2023 and then compared with a digitized reference shoreline from the Landsat-5 and Sentinel-2 images. Following a quantitative evaluation, the accuracy of the classification model shows that the combined CNN-OBIA approach provided the least accurate results, with an overall accuracy (OA) index of 67%, while the OBIA-RF classification method provided the most accurate results (OA of 95%). This comparative study identified an accurate and improved extraction method for quantifying changes in the position of the shoreline on the east coast of Jerba Island, enabling managers to make better decisions on coastal protection and adaptation to climate change.
C1 [Boussetta, Amina; Zagrarni, Mohamed Faouzi] Univ Gabes, Inst Super Sci & Tech Eaux Gabes ISSTEG, UR Appl Hydrosci UR13ES81, Gabes, Tunisia.
   [Niculescu, Simona; Bengoufa, Soumia] Univ Brest, Nantes Univ, Univ Rennes, CNRS,LETG,UMR 6554, F-29280 Plouzane, France.
   [Niculescu, Simona] Inst Univ France IUF, Paris, France.
C3 Universite de Gabes; Nantes Universite; Universite de Bretagne
   Occidentale; Centre National de la Recherche Scientifique (CNRS); CNRS -
   Institute of Ecology & Environment (INEE); Institut Universitaire de
   France
RP Boussetta, A (corresponding author), Univ Gabes, Inst Super Sci & Tech Eaux Gabes ISSTEG, UR Appl Hydrosci UR13ES81, Gabes, Tunisia.
EM aminaboussetta434@gmail.com
OI Niculescu, Simona/0000-0003-1141-3233
FU CNES/TOSCA project [7618]
FX The authors are very grateful to the CNES/TOSCA project ID 7618.
CR Abdelhady HU, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030557
   Aedla R, 2015, AQUAT PR, V4, P563, DOI 10.1016/j.aqpro.2015.02.073
   Alesheikh AA, 2007, INT J ENVIRON SCI TE, V4, P61, DOI 10.1007/BF03325962
   Almonacid-Caballer J, 2016, MAR GEOL, V372, P79, DOI 10.1016/j.margeo.2015.12.015
   Belgiu M, 2014, ISPRS J PHOTOGRAMM, V96, P67, DOI 10.1016/j.isprsjprs.2014.07.002
   Belgiu M, 2014, ISPRS J PHOTOGRAMM, V87, P205, DOI 10.1016/j.isprsjprs.2013.11.007
   Bengoufa S, 2023, EUROPEAN SPATIAL DATA FOR COASTAL AND MARINE REMOTE SENSING, EUCOMARE 2022, P191, DOI 10.1007/978-3-031-16213-8_11
   Bengoufa S, 2021, J APPL REMOTE SENS, V15, DOI 10.1117/1.JRS.15.026509
   Benz UC, 2004, ISPRS J PHOTOGRAMM, V58, P239, DOI 10.1016/j.isprsjprs.2003.10.002
   Boak EH, 2005, J COASTAL RES, V21, P688, DOI 10.2112/03-0071.1
   Boussetta A, 2023, EUROPEAN SPATIAL DATA FOR COASTAL AND MARINE REMOTE SENSING, EUCOMARE 2022, P113, DOI 10.1007/978-3-031-16213-8_7
   Boussetta A, 2022, REG STUD MAR SCI, V55, DOI 10.1016/j.rsma.2022.102564
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   Cui BL, 2011, GEOMORPHOLOGY, V127, P32, DOI 10.1016/j.geomorph.2010.12.001
   Dang KB, 2022, J ENVIRON MANAGE, V320, DOI 10.1016/j.jenvman.2022.115732
   Cham DD, 2020, CIV ENG J-TEHRAN, V6, P1, DOI 10.28991/cej-2020-03091448
   Deliry SI, 2021, ENVIRON SCI POLLUT R, V28, P6572, DOI 10.1007/s11356-020-11007-4
   Demir N., 2017, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, VIV-2/W4, P445, DOI [10.5194/isprs-annals-IV-2-W4-445, 10.5194/isprs-annals-IV-2-W4-445-2017, DOI 10.5194/ISPRS-ANNALS-IV-2-W4-445-2017]
   Erdem F, 2021, ADV SPACE RES, V67, P964, DOI 10.1016/j.asr.2020.10.043
   FUKUSHIMA K, 1988, NEURAL NETWORKS, V1, P119, DOI 10.1016/0893-6080(88)90014-7
   Gomez-de la Pena E., 2023, On the use of Convolutional Deep Learning to predict shoreline change, P1, DOI [10.5194/egusphere-2023-958, DOI 10.5194/EGUSPHERE-2023-958]
   Gonçalves G, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162599
   Görmüs T, 2021, ESTUAR COAST SHELF S, V252, DOI 10.1016/j.ecss.2021.107247
   Guariglia A, 2006, ANN GEOPHYS-ITALY, V49, P295
   Guo SC, 2021, ISPRS J PHOTOGRAMM, V177, P21, DOI 10.1016/j.isprsjprs.2021.04.018
   Hegde AV, 2015, AQUAT PR, V4, P151, DOI 10.1016/j.aqpro.2015.02.021
   Himmelstoss E., 2018, USGS OPEN-FILE REP, P110, DOI DOI 10.3133/ofr20181179
   Hossain MD, 2019, ISPRS J PHOTOGRAMM, V150, P115, DOI 10.1016/j.isprsjprs.2019.02.009
   Incekara AH, 2018, IEEE J-STARS, V11, P5053, DOI 10.1109/JSTARS.2018.2875792
   Islam MS, 2021, REG STUD MAR SCI, V41, DOI 10.1016/j.rsma.2020.101578
   Jhonnerie R, 2015, PROCEDIA ENVIRON SCI, V24, P215, DOI 10.1016/j.proenv.2015.03.028
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Matin N, 2021, CATENA, V201, DOI 10.1016/j.catena.2021.105185
   McAllister E, 2022, COAST ENG, V174, DOI 10.1016/j.coastaleng.2022.104102
   Merchant MA, 2020, REMOTE SENS LETT, V11, P1127, DOI 10.1080/2150704X.2020.1825869
   Millard K, 2015, REMOTE SENS-BASEL, V7, P8489, DOI 10.3390/rs70708489
   Mollick T, 2023, REMOTE SENS APPL, V29, DOI 10.1016/j.rsase.2022.100859
   Niculescu S., 2021, REMOTE SENS SPAT INF, V43, P23, DOI [10.5194/isprs-archives-XLIII-B3-2021-23-2021, DOI 10.5194/ISPRS-ARCHIVES-XLIII-B3-2021-23-2021]
   Niculescu S, 2018, PROC SPIE, V10783, DOI 10.1117/12.2325546
   Paskoff R., 1984, Rapport III. 7 Erosion et protection des plages: une nouvelle approche, P1
   Puissant A, 2014, INT J APPL EARTH OBS, V26, P235, DOI 10.1016/j.jag.2013.07.002
   Ramesh V., 2020, Monitoring Shorelines via High-Resolution Satellite Imagery and Deep Learning
   Rodriguez-Galiano VF, 2012, ISPRS J PHOTOGRAMM, V67, P93, DOI 10.1016/j.isprsjprs.2011.11.002
   Roy S, 2018, SPAT INF RES, V26, P563, DOI 10.1007/s41324-018-0199-6
   Sabat-Tomala A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030516
   Sanlaville P., 2001, Le mythe et la realite, V3
   Seale C, 2022, REMOTE SENS ENVIRON, V278, DOI 10.1016/j.rse.2022.113044
   Serbaji MM, 2023, LAND-BASEL, V12, DOI 10.3390/land12030548
   Sertel E, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14184558
   Shayeganpour S, 2021, FRONT EARTH SCI-PRC, V15, P38, DOI 10.1007/s11707-020-0848-7
   Siljeg A, 2022, Comparative Assessment of Pixel and Object-Based Approaches for Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery
   Souto-Ceccon P, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15082117
   Sreekesh S., 2020, Remote Sens Earth Syst Sci, V3, P24, DOI [DOI 10.1007/S41976-020-00032-Z, 10.1007/s41976-020-00032-z]
   Sunder S, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-5996-1
   Toure S, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8020075
   Tsiakos CAD, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13053268
   Valderrama-Landeros L, 2019, OCEAN COAST MANAGE, V169, P58, DOI 10.1016/j.ocecoaman.2018.12.006
   Varo-Martínez MA, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13030436
   Wang JB, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15010253
   Wang ZF, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101643
   Wicaksono A., 2019, Geoplanning, V6, P55, DOI [10.14710/geoplanning.6.1.55-72, DOI 10.14710/GEOPLANNING.6.1.55-72]
   Yan DD, 2021, WETLANDS, V41, DOI 10.1007/s13157-021-01444-3
   Yan Y, 2023, Inversion et assimilation de donnees de teledetection: Estimation des parametres geophysiques
   Yang MZ, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14040896
   Yang XC, 2020, REMOTE SENS ENVIRON, V244, DOI 10.1016/j.rse.2020.111803
   Zaabar N, 2022, IEEE J-STARS, V15, P5177, DOI 10.1109/JSTARS.2022.3185185
   Zagórski P, 2020, MAR GEOD, V43, P433, DOI 10.1080/01490419.2020.1715516
   Zhang LP, 2016, IEEE GEOSC REM SEN M, V4, P22, DOI 10.1109/MGRS.2016.2540798
   Zhao BX, 2022, ESTUAR COAST SHELF S, V264, DOI 10.1016/j.ecss.2021.107697
   Zhu XX, 2017, IEEE GEOSC REM SEN M, V5, P8, DOI 10.1109/MGRS.2017.2762307
NR 70
TC 2
Z9 2
U1 3
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-9385
J9 REMOTE SENS APPL
JI Remote Sens. Appl.-Soc. Environ.
PD NOV
PY 2023
VL 32
AR 101084
DI 10.1016/j.rsase.2023.101084
EA NOV 2023
PG 20
WC Environmental Sciences; Remote Sensing
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Remote Sensing
GA Z4BM8
UT WOS:001111546500001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Potisek, M
   Jez Krebelj, A
   Suklje, K
   Skvarc, A
   Cus, F
AF Potisek, Mateja
   Jez Krebelj, Anastazija
   Suklje, Katja
   Skvarc, Andreja
   Cus, Franc
TI Viticultural and oenological characterization of Muscat a Petits Grains
   Blancs and Muscat giallo clones
SO JOURNAL OF CENTRAL EUROPEAN AGRICULTURE
LA English
DT Article
DE climatic changes; clonal selection; monoterpenes; Muscat wine; wine
   quality
ID CLIMATE-CHANGE; WINE; IMPACT; ODORANTS; AROMA
AB In the present study, viticultural and oenological parameters of six clones of Muscat a Petits Grains Blancs (MPG) and five clones of Muscat giallo were investigated. Differences were found between varieties and clones in the occurrence of the phenological phases: bud break, veraison, and maturity. In the MPG clones (B41-5, FR 94, MPG 154, MPG 454, and MPG 455), all three phenological phases started earlier, resulting in earlier grape maturity and higher total soluble solids content (TSS) in grapes at harvest compared to the M. giallo clones (R1, VCR100, VCR 102, and VCR 5, BEMK 33). The MPG clones also resulted in higher cluster weight, higher yield per vine, and lower must pH compared to the M. giallo clones. The only exception was the MPG clone R2, which showed more similarities with the M. giallo clones. The wines of the MPG clones showed a tendency toward higher values for alcohol, citronellol, total acids, and total dry matter. In contrast, the wines of the M. giallo clones and the R2 clone of MPG showed higher pH and higher levels of linalool, & alpha;-terpineol, geraniol, and nerol. Although R2 is classified as a clone of MPG, our results indicate a strong similarity with the M. giallo clones studied. This study has highlighted the differences in phenological development and grape and wine quality characteristics between MPG and M. giallo clones. Therefore, clone selection can be an important tool for winemakers to develop the desired wine style and adapt to climatic changes.
C1 [Potisek, Mateja; Jez Krebelj, Anastazija; Suklje, Katja; Cus, Franc] Agr Inst Slovenia, Hacquetova ul 17, Ljubljana 1000, Slovenia.
   [Skvarc, Andreja] Slovene Chamber Agr & Forestry Inst Agr & Forestry, STS Vrhpolje, Nova Gorica, Slovenia.
C3 Agricultural Institute Slovenia
RP Cus, F (corresponding author), Agr Inst Slovenia, Hacquetova ul 17, Ljubljana 1000, Slovenia.
EM franc.cus@kis.si
RI Cus, Franc/E-1791-2013
OI Cus, Franc/0000-0001-8009-8391
FU Slovenian Research Agency [P4-0133]; Ministry of Agriculture and
   Forestry under the Public Service for Viticulture [2330-15-000204,
   2330-16-000109, 2330-17-000111]
FX This study was funded by the Slovenian Research Agency (Research Program
   No. P4-0133) and the Ministry of Agriculture and Forestry under the
   Public Service for Viticulture (Contracts No. 2330-15-000204,
   2330-16-000109, 2330-17-000111) .
CR Bavcar D., 2011, Acta Agriculturae Slovenica, V97, P285
   Bavcar D., 2011, THESIS U LJUBLJANA S, P183
   Bavcar D, 2011, INT J FOOD SCI TECH, V46, P1801, DOI 10.1111/j.1365-2621.2011.02679.x
   Crespan M, 2001, VITIS, V40, P23
   Cus F., 2009, VIN DAN WIN DAY 2009, P5
   De Rosa V, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.644528
   Duchêne E, 2010, CLIM RES, V41, P193, DOI 10.3354/cr00850
   Ferreira V, 2000, J SCI FOOD AGR, V80, P1659, DOI 10.1002/1097-0010(20000901)80:11<1659::AID-JSFA693>3.0.CO;2-6
   Flamini R., 2001, Rivista di Viticoltura e di Enologia, V54, P35
   Guth H, 1997, J AGR FOOD CHEM, V45, P3027, DOI 10.1021/jf970280a
   Jaquerod A., 2016, Revue Suisse de Viticulture, Arboriculture et Horticulture, V48, P166
   Jones GV, 2010, AM J ENOL VITICULT, V61, P313
   Lanaridis P, 2002, J INT SCI VIGNE VIN, V36, P39
   Landsteiermark, 2022, MUSK
   Lorenz D. H., 1995, Australian Journal of Grape and Wine Research, V1, P100, DOI 10.1111/j.1755-0238.1995.tb00085.x
   Marais J., 1983, S. Afr. J. Enol. Vitic, V4, P49, DOI [10.21548/4-2-2370, DOI 10.21548/4-2-2370]
   Maul E., 2022, VITIS INT VARIETY CA
   Meier M, 2018, INT J BIOMETEOROL, V62, P991, DOI 10.1007/s00484-018-1501-y
   OIV, 2017, 564A2017 OIV VITI
   podatki.gov, MIN KMET GOZD PREHR
   Ramos MC, 2022, INT J BIOMETEOROL, V66, P1067, DOI 10.1007/s00484-022-02258-6
   Rapp A, 1998, NAHRUNG, V42, P351, DOI 10.1002/(SICI)1521-3803(199812)42:06<351::AID-FOOD351>3.0.CO;2-2
   Regner F, 2015, VITIS, V54, P181
   Regner F, 2021, MITT KLOSTERNEUBURG, V71, P37
   RIBEREAUGAYON P, 1975, J AGR FOOD CHEM, V23, P1042, DOI 10.1021/jf60202a050
   Suklje K, 2019, J AGR FOOD CHEM, V67, P10273, DOI 10.1021/acs.jafc.9b03563
   UMT Geno-Vigne INRA IFV AND Montpellier SupAgro, 2021, CAT GRAP CULT FRANC
   UVHVVR, AGR PORT SLOV
   van Leeuwen C, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090514
   van Leeuwen C, 2016, J WINE ECON, V11, P150, DOI 10.1017/jwe.2015.21
   van Leeuwen C, 2013, J AGR FOOD CHEM, V61, P19, DOI 10.1021/jf304687c
   VCR, 2020, QUAD TECN VCR, V13, P1
   Vrsic S, 2014, CLIM RES, V58, P257, DOI 10.3354/cr01197
   Vujovic D, 2017, J SCI FOOD AGR, V97, P587, DOI 10.1002/jsfa.7769
NR 34
TC 2
Z9 2
U1 0
U2 3
PU UNIV ZAGREB, FAC AGRICULTURE
PI ZAGREB
PA SVETOSIMUNSKA 25, ZAGREB, HR-10000, CROATIA
SN 1332-9049
J9 J CENT EUR AGRIC
JI J. Cent. Eur. Agric.
PY 2023
VL 24
IS 2
BP 422
EP 433
DI 10.5513/JCEA01/24.2.3840
PG 12
WC Agriculture, Dairy & Animal Science; Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA L8EC4
UT WOS:001025527100011
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU England, J
   Hayes, C
   White, J
   Johns, T
AF England, Judy
   Hayes, Chloe
   White, James
   Johns, Tim
TI Evidence of Taxonomic and Functional Recovery of Macroinvertebrate
   Communities Following River Restoration
SO WATER
LA English
DT Article
DE groundwater fed river; diversity; BACI; connectivity; hydromorphology
ID BENTHIC INVERTEBRATE COMMUNITIES; STREAM RESTORATION; SPECIES TRAITS;
   BIODIVERSITY; RESPONSES; IMPACTS; ECOLOGY; HETEROGENEITY; PRINCIPLES;
   FRAMEWORK
AB River ecosystems have been heavily degraded globally due to channel hydromorphological modifications or alterations to catchment-wide processes. Restoration actions aimed at addressing these changes and restoring ecological integrity are increasing, but evidence of the effectiveness of these actions is variable. Using a rare 7-year before-after-control-impact (BACI) study of restoration of a lowland groundwater-fed river in England, UK, we explore changes in the macroinvertebrate community following the removal of impoundments and channel narrowing to aid restoration of physical processes. Restoration activity prompted significant taxonomic and functional responses of benthic invertebrate communities in the 4 years post-restoration. Specifically, significant gains in taxonomic and functional richness were evident following restoration, although corresponding evenness and diversity measures did not mirror these trends. Restoration activities prompted a shift to more rheophilic taxa and associated traits matching the physical changes to the channel and habitat composition. Temporal changes were clearer for taxonomic compositions compared to the functional properties of macroinvertebrate communities, indicating a functional redundancy effect of new colonists inhabiting restored reaches following restoration. The results highlight the value of long-term BACI studies in river restoration assessments, as well as project appraisals incorporating both taxonomic and functional observations. We highlight the urgent need of such studies to provide evidence to inform effective river restoration strategies to address future changes such as adaption to climate change and the biodiversity crisis.
C1 [England, Judy; Johns, Tim] Environm Agcy, Howbery Pk, Wallingford OX10 8BD, Oxon, England.
   [Hayes, Chloe] Nottingham Trent Univ, Sch Sci & Technol, Nottingham NG11 8NS, England.
   [White, James] Cranfield Univ, River Restorat Ctr, Cranfield MK43 0AL, Beds, England.
C3 Nottingham Trent University; Cranfield University
RP England, J (corresponding author), Environm Agcy, Howbery Pk, Wallingford OX10 8BD, Oxon, England.
EM judy.england@environment-agency.gov.uk; chloe.hayes2017@my.ntu.ac.uk;
   J.C.White@cranfield.ac.uk; tim.johns@environment-agency.gov.uk
RI White, James/HRB-4115-2023
OI White, James/0000-0003-2280-1442; England, Judy/0000-0001-5247-4812
CR Al-Zankana AFA, 2021, RIVER RES APPL, V37, P408, DOI 10.1002/rra.3762
   Anderson D.H., 1998, 63 N AM WILDL NAT RE
   Angelopoulos NV, 2017, ENVIRON SCI POLICY, V76, P12, DOI 10.1016/j.envsci.2017.06.005
   [Anonymous], 2011, ENV AGENCY WHOLE RIV
   Aspin TWH, 2018, ECOGRAPHY, V41, P1992, DOI 10.1111/ecog.03711
   Baselga A., 2021, PARTITIONING BETA DI, P1
   Beechie T, 1999, FISHERIES, V24, P6, DOI 10.1577/1548-8446(1999)024<0006:AATRSH>2.0.CO;2
   Beechie TJ, 2010, BIOSCIENCE, V60, P209, DOI 10.1525/bio.2010.60.3.7
   Bellmore JR, 2019, BIOSCIENCE, V69, P26, DOI 10.1093/biosci/biy152
   BERRIE AD, 1992, HYDROBIOLOGIA, V248, P3, DOI 10.1007/BF00008881
   Birnie-Gauvin K, 2018, RIVER RES APPL, V34, P548, DOI 10.1002/rra.3271
   Bradshaw A.D., 1988, REHABILITATING DAMAG, V2nd ed., P69
   Brierley G, 2010, SCI TOTAL ENVIRON, V408, P2025, DOI 10.1016/j.scitotenv.2010.01.038
   Burnham KP, 2011, BEHAV ECOL SOCIOBIOL, V65, P23, DOI 10.1007/s00265-010-1029-6
   Davy-Bowker J., 2008, 609 SNIFFER, P268
   De Caceres M., RELATIONSHIP SPECIES, P1
   Demars BOL, 2012, ECOL INDIC, V23, P301, DOI 10.1016/j.ecolind.2012.04.011
   Donoghue J.F., 2016, Encyclopedia of Estuaries, P483, DOI DOI 10.1007/978-94-017-8801-4_277
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   England J, 2020, WATER ENVIRON J, V34, P1003, DOI 10.1111/wej.12517
   England J, 2018, SCI TOTAL ENVIRON, V618, P961, DOI 10.1016/j.scitotenv.2017.09.014
   Extence CA, 2013, RIVER RES APPL, V29, P17, DOI 10.1002/rra.1569
   Extence CA, 1999, REGUL RIVER, V15, P543, DOI 10.1002/(SICI)1099-1646(199911/12)15:6<545::AID-RRR561>3.0.CO;2-W
   Feld CK, 2014, FRESHWATER BIOL, V59, P233, DOI 10.1111/fwb.12260
   Feld CK, 2011, ADV ECOL RES, V44, P119, DOI 10.1016/B978-0-12-374794-5.00003-1
   Fox J., 2021, VISUALIZING HYPOTHES, P1
   Fox JC, 2017, CLINICAL EMERGENCY RADIOLOGY, 2ND EDITION, P1
   Frame JL, 2016, HYDROBIOLOGIA, V777, P161, DOI 10.1007/s10750-016-2772-0
   Friberg N, 2010, FRESHWATER BIOL, V55, P1367, DOI 10.1111/j.1365-2427.2010.02442.x
   Garcia-Moreno J., 2014, The Global Water System in the Anthropocene: Challenges for Science and Governance, P247, DOI [DOI 10.1007/978-3-319-07548-817, 10.1007/978-3-319-07548-8_17]
   Gardeström J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05609-180308
   Göthe E, 2015, BIODIVERS CONSERV, V24, P1423, DOI 10.1007/s10531-015-0865-0
   Graham SE, 2020, NEW ZEAL J MAR FRESH, V54, P467, DOI 10.1080/00288330.2020.1764595
   Griffith MB, 2020, RIVER RES APPL, V36, P1398, DOI 10.1002/rra.3694
   Haase P, 2013, HYDROBIOLOGIA, V704, P475, DOI 10.1007/s10750-012-1255-1
   Hill MJ, 2019, BIOL CONSERV, V237, P348, DOI 10.1016/j.biocon.2019.07.015
   IEEE, 2012, IEEE Std, DOI [10.1109/IEEESTD.2012.6204026, DOI 10.1109/IEEESTD.2012.6209381, 10.1109/IEEESTD.2012.6209381]
   Johnson MF, 2020, RIVER RES APPL, V36, P3, DOI 10.1002/rra.3529
   Jones HP, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005653
   Kail J, 2015, ECOL INDIC, V58, P311, DOI 10.1016/j.ecolind.2015.06.011
   Laliberte E., 2015, Measuring functional diversity (FD) from multiple traits, and other tools for functional ecology, P1
   Lemm JU, 2017, SCI TOTAL ENVIRON, V603, P148, DOI 10.1016/j.scitotenv.2017.06.092
   Leps M, 2015, SCI TOTAL ENVIRON, V536, P546, DOI 10.1016/j.scitotenv.2015.07.083
   Lorenz AW, 2021, RIVER RES APPL, V37, P270, DOI 10.1002/rra.3729
   Louhi P, 2011, ECOL APPL, V21, P1950, DOI 10.1890/10-0591.1
   Miller SW, 2010, RESTOR ECOL, V18, P8, DOI 10.1111/j.1526-100X.2009.00605.x
   Milner AM, 2018, ECOL EVOL, V8, P8354, DOI 10.1002/ece3.4300
   Muotka T, 2002, BIOL CONSERV, V105, P243, DOI 10.1016/S0006-3207(01)00202-6
   Murray-Bligh J.A.D., 1997, PROCEDURE COLLECTING, P162
   Naiman RJ, 2000, ECOL APPL, V10, P958, DOI 10.1890/1051-0761(2000)010[0958:AFPONA]2.0.CO;2
   Naman SM, 2017, FRESHWATER BIOL, V62, P340, DOI 10.1111/fwb.12871
   O'Hanley JR, 2011, J ENVIRON MANAGE, V92, P3112, DOI 10.1016/j.jenvman.2011.07.027
   Oksanen J., 2020, COMMUNITY ECOLOGY PA, V2, P1
   Palmer MA, 2005, J APPL ECOL, V42, P208, DOI 10.1111/j.1365-2664.2005.01004.x
   Palmer MA, 1997, RESTOR ECOL, V5, P291, DOI 10.1046/j.1526-100X.1997.00543.x
   Palmer MA, 2010, FRESHWATER BIOL, V55, P205, DOI 10.1111/j.1365-2427.2009.02372.x
   Poff NL, 1997, J N AM BENTHOL SOC, V16, P391, DOI 10.2307/1468026
   R Development Core Team, 2014, R: A language and environment for statistical computing
   Roni P., 2013, Stream and watershed restoration, a guide to restoring riverine processes and habitats, P1
   Roni P, 2008, N AM J FISH MANAGE, V28, P856, DOI 10.1577/M06-169.1
   Rubin Z, 2017, WATER-SUI, V9, DOI 10.3390/w9030174
   Saito VS, 2021, FRESHWATER BIOL, V66, P1560, DOI 10.1111/fwb.13738
   Schmera D, 2015, FRESHW SCI, V34, P823, DOI 10.1086/681623
   Schmera D, 2014, FRESHWATER BIOL, V59, P1551, DOI 10.1111/fwb.12369
   Sear DA, 1999, HYDROL PROCESS, V13, P255, DOI 10.1002/(SICI)1099-1085(19990228)13:3<255::AID-HYP737>3.0.CO;2-Y
   Stoll S, 2016, SCI TOTAL ENVIRON, V553, P495, DOI 10.1016/j.scitotenv.2016.02.126
   Sundermann A, 2011, ECOL APPL, V21, P1962, DOI 10.1890/10-0607.1
   Tachet H., 2010, INVERTEBRES EAU DOUC
   Thornley C, 2010, GLOBALIZATION AND PRECARIOUS FORMS OF PRODUCTION AND EMPLOYMENT: CHALLENGES FOR WORKERS AND UNIONS, P1
   Vaudor L, 2015, FRESHWATER BIOL, V60, P1192, DOI 10.1111/fwb.12513
   Verdonschot RCM, 2016, HYDROBIOLOGIA, V769, P55, DOI 10.1007/s10750-015-2575-8
   Weisburg S., 2020, COMPANION APPL REGRE, P1
   White JC, 2017, ENVIRON MANAGE, V60, P513, DOI 10.1007/s00267-017-0889-1
   Wilby RL, 2006, J HYDROL, V330, P204, DOI 10.1016/j.jhydrol.2006.04.033
   Winking C, 2014, FRESHWATER BIOL, V59, P1932, DOI 10.1111/fwb.12397
NR 75
TC 3
Z9 3
U1 4
U2 61
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2021
VL 13
IS 16
AR 2239
DI 10.3390/w13162239
PG 20
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA UH6XR
UT WOS:000690071500001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Diwakar, KC
   Jamarkattel, D
   Maraseni, T
   Nandwani, D
   Karki, P
AF Diwakar, K. C.
   Jamarkattel, Dinesh
   Maraseni, Tek
   Nandwani, Dilip
   Karki, Pratibha
TI The Effects of Tunnel Technology on Crop Productivity and Livelihood of
   Smallholder Farmers in Nepal
SO SUSTAINABILITY
LA English
DT Article
DE livelihood; smallholder farmers; tunnel technology; sustainable
   development; agricultural growth
ID ADOPTION; HOUSEHOLD; IMPACT; INCOME; AGRICULTURE; MANAGEMENT; VARIETIES;
   YIELD
AB Technologies-based production practices are critical for agricultural growth and sustainable development in low-income countries like Nepal. In the last few years, tunnel house has been increasingly promoted as tools to enhance smallholder farmers' livelihood and tackle climate adversaries. However, little is known about what factor determines its adoption and whether it helps smallholders adapt to climate change and experience better livelihood. We address these gaps using the cross-sectional survey data collected from 62 adopters and 92 non-adopters in three municipalities of Bagmati Province. We employed descriptive analysis and probit model and found out that age, farm size, and ethnicity strongly influence the technology adoption amongst smallholder farmers. Additionally, treatment model and ordinary least square (OLS) regression were utilized to examine tunnel technology's effect. Our study shows that tunnel significantly increases production by 32 tons/year/hectare and protects crops from climate change effects such as heavy rainfall and temperature change. Likewise, tunnel technology increases the net crop income by $1700/year/hectare. However, the economic benefit is not substantial compared to technology's adoption cost as adopters incur enormous costs of $12,000/year/hectare on equipment, labor and resources. These results suggest policymakers should concentrate on reducing the technology's cost, which could be achieved through subsidies, financial support, or price control mechanisms. Ensuring technology's affordability can contribute to smallholder farmers' sustainable livelihood in Nepal and countries with similar contexts.
C1 [Diwakar, K. C.] Griffith Univ, Dept Mkt, 226 Grey St, Brisbane, Qld 4101, Australia.
   [Jamarkattel, Dinesh] Prov Govt, Agr Knowledge Ctr, Lalitpur 44700, Bagmati Provinc, Nepal.
   [Maraseni, Tek] Univ Southern Queensland, Ctr Sustainable Agr Syst, West St, Toowoomba, Qld 4350, Australia.
   [Nandwani, Dilip] Tennessee State Univ, Dept Agr & Environm Sci, John A Merritt Blvd, Nashville, TN 37209 USA.
   [Karki, Pratibha] Tribhuvan Univ, Inst Agr & Anim Sci IAAS, Dept Agr Extens, Kathmandu 44600, Nepal.
C3 Griffith University; University of Southern Queensland; Tennessee State
   University; Tribhuvan University; Institute of Agriculture & Animal
   Science (IAAS) - Nepal
RP Nandwani, D (corresponding author), Tennessee State Univ, Dept Agr & Environm Sci, John A Merritt Blvd, Nashville, TN 37209 USA.
EM diwakarkc.88@gmail.com; jamarkattel.dinesh@gmail.com;
   Tek.Maraseni@usq.edu.au; dnandwan@tnstate.edu;
   karki.pratibha029@gmail.com
RI KC, Diwakar/GON-5681-2022; Jamarkattel, Dinesh/HLQ-0984-2023
OI Jamarkattel, Dinesh/0000-0002-0276-1781; KC,
   Diwakar/0000-0002-2194-2019; Karki, Pratibha/0000-0003-2596-0262;
   Maraseni, Tek/0000-0001-9361-1983
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Ali A, 2010, J AGR ECON, V61, P175, DOI 10.1111/j.1477-9552.2009.00227.x
   [Anonymous], FAO Tunnel Farming for Off-Season Vegetable Cultivation in Nepal
   [Anonymous], MOALD KRISHI DIARY 2
   [Anonymous], 2016, REPORT INTERAGENCY E
   [Anonymous], 2015, MOAD AGR DEV STRATEG
   Atreya P.N., 2019, P 10 NAT HORT SEM NE P 10 NAT HORT SEM NE
   Awotide B.A., 2016, AGR FOOD EC, V4, P3, DOI [DOI 10.1186/S40100-016-0047-8, 10.1186/s40100-016-0047-8]
   Bajracharya D., 2006, KATHMANDU SERIES MON, V10
   Baral P., 2020, Agricultural Socio-Economics Journal, V20, P299, DOI [10.21776/ub.agrise.2020.20.4.5, DOI 10.21776/UB.AGRISE.2020.20.4.5]
   Budhathoki N, 2016, AGR RES, V5, P420, DOI 10.1007/s40003-016-0220-z
   Diwakar KC, 2020, TRANSPORTATION, V47, P1393, DOI 10.1007/s11116-018-9970-8
   FAO, 2017, The Future of Food and Agriculture: Trends and Challenges
   Gebbers R, 2010, SCIENCE, V327, P828, DOI 10.1126/science.1183899
   Gentle P, 2018, CLIMATIC CHANGE, V147, P267, DOI 10.1007/s10584-017-2124-8
   Ghimire N.P., 2018, J AGR ENV, V18, P83, DOI [10.3126/aej.v18i0.19893, DOI 10.3126/AEJ.V18I0.19893]
   Greene H.W., 2008, ECONOMETRIC ANAL, V6th
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Kabunga NS, 2014, FOOD POLICY, V45, P25, DOI 10.1016/j.foodpol.2013.12.009
   Kabunga NS, 2012, J AGR ECON, V63, P444, DOI 10.1111/j.1477-9552.2012.00337.x
   Kafle A., 2017, IJAEB, V2, P10
   Kassie M, 2011, WORLD DEV, V39, P1784, DOI 10.1016/j.worlddev.2011.04.023
   Khan A, 2011, AFR J BIOTECHNOL, V10, P15538, DOI 10.5897/AJB10.2194
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   Krishnan P, 2014, AM J AGR ECON, V96, P308, DOI 10.1093/ajae/aat017
   Kumar A, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104621
   Kumar S., 2018, CHEM SCI REV LETT, V7, P900
   Kunwar B., 2019, Journal of Agriculture and Environment, V20, P67, DOI 10.3126/aej.v20i0.25012
   Latif M.T., 2018, INNOV AGRIC, V1, P24, DOI [10.25081/ia.2018.v1.i2.1028, DOI 10.25081/IA.2018.V1.I2.1028]
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Markelova H, 2009, FOOD POLICY, V34, P1, DOI 10.1016/j.foodpol.2008.10.001
   Michelson HC, 2017, AM J AGR ECON, V99, P952, DOI 10.1093/ajae/aaw097
   Miyata S, 2009, WORLD DEV, V37, P1781, DOI 10.1016/j.worlddev.2008.08.025
   Mukul SA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135326
   Munshi K, 2004, J DEV ECON, V73, P185, DOI 10.1016/j.jdeveco.2003.03.003
   Panthi J, 2016, REG ENVIRON CHANGE, V16, P1121, DOI 10.1007/s10113-015-0833-y
   Parveen Kumar Parveen Kumar, 2017, Journal of Applied and Natural Science, V9, P402
   Paudel GP, 2020, TECHNOL SOC, V61, DOI 10.1016/j.techsoc.2020.101250
   Pilarova T, 2018, INT J AGR SUSTAIN, V16, P367, DOI 10.1080/14735903.2018.1499244
   Poudel R.R., PMAMP PROGR REPORT 2
   Schreinemachers P, 2016, FOOD POLICY, V61, P132, DOI 10.1016/j.foodpol.2016.03.002
   Shahzad MF, 2020, AGR SYST, V180, DOI 10.1016/j.agsy.2019.102772
   Singh M, 2018, FIELD CROP RES, V224, P182, DOI 10.1016/j.fcr.2018.03.002
   Stefanides Z, 1999, AM J AGR ECON, V81, P95, DOI 10.2307/1244453
   Takeshima H, 2020, AGR SYST, V184, DOI 10.1016/j.agsy.2020.102914
   Tufa AH, 2019, WORLD DEV, V124, DOI 10.1016/j.worlddev.2019.104631
NR 46
TC 4
Z9 5
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 JUL
PY 2021
VL 13
IS 14
AR 7935
DI 10.3390/su13147935
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TO7YM
UT WOS:000677121900001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Qin, LG
   Malik, MY
   Latif, K
   Khan, Z
   Siddiqui, AW
   Ali, S
AF Qin, Lingui
   Malik, Muhammad Yousaf
   Latif, Kashmala
   Khan, Zeeshan
   Siddiqui, Asif Waheed
   Ali, Shahid
TI The salience of carbon leakage for climate action planning: Evidence
   from the next eleven countries
SO SUSTAINABLE PRODUCTION AND CONSUMPTION
LA English
DT Article
DE Consumption-based carbon emissions; Territorial-based carbon emissions;
   Next eleven countries; Imports; Exports; Oil price
ID ENVIRONMENTAL KUZNETS CURVE; RESEARCH-AND-DEVELOPMENT; OIL-EXPORTING
   COUNTRIES; ECONOMIC-GROWTH; CO2 EMISSIONS; ENERGY-CONSUMPTION; RENEWABLE
   ENERGY; TRADE OPENNESS; ELECTRICITY CONSUMPTION; INTERNATIONAL-TRADE
AB Territorial-based carbon emissions (TBEs) have been studied extensively. However, investigations of consumption-based carbon emissions (CBEs), adjusted for international trade, have been mainly centered on theoretical arguments. This research is an attempt to address the gap by using CBEs in the case of Next Eleven (N-11) countries. Given that the N-11 are tracking to overtake the G-7 by 2050, successful action to mitigate and adapt to climate change will increasingly need to consider the impact of this fast-emerging group of countries. For empirical analysis, this study employs the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) methodology to examine the long- and short-run impact of imports and exports separately, along with economic growth, industry value addition (IVA), and oil price as control variables using data from 1990 to 2017. The empirical findings reveal that imports enhance, while exports reduce CBEs both in the long- and short-run. Whereas economic growth and IVA intensify CBEs, rising oil prices decrease CBEs both in the long and short-run. The main finding of this study provide evidence of carbon leakage and N-11 countries should diversify their energy mix toward renewable energy and adopt policies related to CBEs that recognize the transfer of emissions (carbon leakage) in trade. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
C1 [Qin, Lingui] Shenyang Agr Univ, Coll Econ & Management, Shenyang, Liaoning, Peoples R China.
   [Malik, Muhammad Yousaf] Peking Univ, Inst South South Cooperat & Dev, Beijing, Peoples R China.
   [Latif, Kashmala] Univ Sci & Technol China, Sch Management, Dept Business Adm, Hefei, Anhui, Peoples R China.
   [Khan, Zeeshan] Tsinghua Univ, Sch Econ & Management SEM, Beijing, Peoples R China.
   [Siddiqui, Asif Waheed] Univ Nevada, Dept Polit Sci, Coll Liberal Arts & Journalism, Reno, NV 89557 USA.
   [Ali, Shahid] Univ Swat, Dept Econ & Dev Studies, Saidu Sharif, Khyber Pakhtunk, Pakistan.
C3 Shenyang Agricultural University; Peking University; Chinese Academy of
   Sciences; University of Science & Technology of China, CAS; Tsinghua
   University; Nevada System of Higher Education (NSHE); University of
   Nevada Reno
RP Malik, MY (corresponding author), Peking Univ, Inst South South Cooperat & Dev, Beijing, Peoples R China.; Khan, Z (corresponding author), Tsinghua Univ, Sch Econ & Management SEM, Beijing, Peoples R China.
EM qinlingui@syau.edu.cn; yousafmalik@pku.edu.cn;
   kashmala@mail.ustc.edu.cn; zeeshan.17@sem.tsinghua.edu.cn;
   asifs@nevada.unr.edu; shahid_aerc@yahoo.com
RI Ali, Shahid/IWU-3894-2023; Malik, Dr. Muhammad Yousaf/AAZ-3938-2020;
   Khan, Zeeshan/HCH-2655-2022
OI Khan, Zeeshan/0000-0003-1374-0836; Latif, Kashmala/0000-0002-7802-5203;
   Malik, Muhammad Yousaf/0000-0003-2155-4013
CR Afionis S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.438
   Agras J, 1999, ECOL ECON, V28, P267, DOI 10.1016/S0921-8009(98)00040-8
   Ahmad M, 2021, SUSTAIN PROD CONSUMP, V27, P679, DOI 10.1016/j.spc.2021.01.038
   Al Mamun M, 2014, RENEW SUST ENERG REV, V38, P1, DOI 10.1016/j.rser.2014.05.091
   Al-Mulali U, 2016, RENEW SUST ENERG REV, V54, P1622, DOI 10.1016/j.rser.2015.10.131
   Aldy JE, 2007, LAND ECON, V83, P353, DOI 10.3368/le.83.3.353
   Ali S., 2020, ENVIRON SCI POLLUT R
   Ali S, 2021, SUSTAIN DEV, V29, P378, DOI 10.1002/sd.2153
   Ali W, 2017, RENEW SUST ENERG REV, V77, P990, DOI 10.1016/j.rser.2016.11.236
   [Anonymous], 2012, J. Glob. Ethics, DOI DOI 10.1080/17449620903110300
   Antweiler W, 2001, AM ECON REV, V91, P877, DOI 10.1257/aer.91.4.877
   Asici AA, 2016, ECOL INDIC, V61, P707, DOI 10.1016/j.ecolind.2015.10.022
   Asiedu E, 2004, WORLD DEV, V32, P479, DOI 10.1016/j.worlddev.2003.06.016
   Badeeb RA, 2017, RESOUR POLICY, V51, P123, DOI 10.1016/j.resourpol.2016.10.015
   Baek J, 2016, ECOL INDIC, V66, P352, DOI 10.1016/j.ecolind.2016.01.059
   Bandyopadhyay S., 1992, Economic Growth and Environmental Quality
   Bölük G, 2015, RENEW SUST ENERG REV, V52, P587, DOI 10.1016/j.rser.2015.07.138
   Bosupeng M, 2016, INT J MANAG ECON, V51, P20, DOI 10.1515/ijme-2016-0017
   Brännlund R, 2015, ENERG ECON, V51, P227, DOI 10.1016/j.eneco.2015.07.004
   Chang CP, 2018, ENERG POLICY, V113, P386, DOI 10.1016/j.enpol.2017.11.021
   Chekouri SM, 2017, MIDDLE EAST DEV J, V9, P233, DOI 10.1080/17938120.2017.1366772
   Chudik A, 2017, REV ECON STAT, V99, P135, DOI 10.1162/REST_a_00593
   Churchill SA, 2019, ENERG ECON, V80, P30, DOI 10.1016/j.eneco.2018.12.020
   Dong BM, 2016, INT REV ECON FINANC, V43, P210, DOI 10.1016/j.iref.2016.02.010
   Eberhardt M, 2012, STATA J, V12, P61, DOI 10.1177/1536867X1201200105
   Eckstein D., 2021, Who Suffers Most from Extreme Weather Events, 2000-2019
   Erdogan S, 2020, RESOUR POLICY, V65, DOI 10.1016/j.resourpol.2019.101559
   European Comission, 2020, CARB LEAK CARB LEAK
   Fernández-Amador O, 2017, ECOL ECON, V135, P269, DOI 10.1016/j.ecolecon.2017.01.004
   Frankel JA, 1999, AM ECON REV, V89, P379, DOI 10.1257/aer.89.3.379
   Grossman G., 1996, ENVIRON DEV ECON, V1, P119, DOI DOI 10.1017/S1355770X00000450
   GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443
   Hasanov FJ, 2018, ENERG ECON, V74, P343, DOI 10.1016/j.eneco.2018.06.004
   Haug AA, 2019, ENERG ECON, V81, P297, DOI 10.1016/j.eneco.2019.04.006
   IEA, 2018, DAT STAT
   IEA, 2018, FOSS FUEL CONS SUBS FOSS FUEL CONS SUBS
   Im KS, 2003, J ECONOMETRICS, V115, P53, DOI 10.1016/S0304-4076(03)00092-7
   Itkonen JVA, 2012, ENERGY, V39, P274, DOI 10.1016/j.energy.2012.01.018
   Jaforullah M, 2017, ENERG ECON, V63, P84, DOI 10.1016/j.eneco.2017.01.025
   Jewell J, 2018, NATURE, V554, P229, DOI 10.1038/nature25467
   Jiao JL, 2018, NAT HAZARDS, V91, P913, DOI 10.1007/s11069-017-3161-3
   Kahuthu A., 2006, Environment Development and Sustainability, V8, P55, DOI 10.1007/s10668-005-0785-3
   Kallis G, 2017, ECOL ECON, V131, P561, DOI 10.1016/j.ecolecon.2016.08.011
   Karakaya E, 2019, ENVIRON SCI POLLUT R, V26, P16682, DOI 10.1007/s11356-019-05007-2
   Khan MA, 2019, EMPIR ECON, V57, P1319, DOI 10.1007/s00181-018-1487-7
   Khan Z, 2021, ENERG ECON, V94, DOI 10.1016/j.eneco.2020.105060
   Khan Z, 2020, ENERGY, V209, DOI 10.1016/j.energy.2020.118405
   Khan Z, 2020, ENERG ECON, V89, DOI 10.1016/j.eneco.2020.104806
   Khan Z, 2020, SUSTAIN DEV, V28, P1317, DOI 10.1002/sd.2086
   Khan Z, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.138945
   Kilian L, 2009, AM ECON REV, V99, P1053, DOI 10.1257/aer.99.3.1053
   Kirikkaleli D, 2020, ENVIRON SCI POLLUT R, V27, P40777, DOI 10.1007/s11356-020-10090-x
   Knight KW, 2014, SUSTAINABILITY-BASEL, V6, P3722, DOI 10.3390/su6063722
   Koh WC, 2017, REV DEV ECON, V21, P567, DOI 10.1111/rode.12293
   Lamb WF, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/1/014011
   Lee S, 2015, CHINA ECON REV, V36, P73, DOI 10.1016/j.chieco.2015.08.009
   Levin A, 2002, J ECONOMETRICS, V108, P1, DOI 10.1016/S0304-4076(01)00098-7
   Li KM, 2020, SCI TOTAL ENVIRON, V706, DOI 10.1016/j.scitotenv.2019.135942
   Li KM, 2019, ENERG POLICY, V129, P386, DOI 10.1016/j.enpol.2019.02.020
   Liddle B, 2018, ENERG ECON, V69, P71, DOI 10.1016/j.eneco.2017.11.004
   Lin BQ, 2015, RENEW SUST ENERG REV, V52, P1228, DOI 10.1016/j.rser.2015.07.164
   Liu JY, 2021, SUSTAIN PROD CONSUMP, V26, P943, DOI 10.1016/j.spc.2021.01.006
   Liu JX, 2019, J CLEAN PROD, V234, P787, DOI 10.1016/j.jclepro.2019.06.234
   LOPEZ R, 1994, J ENVIRON ECON MANAG, V27, P163, DOI 10.1006/jeem.1994.1032
   Malik MY, 2021, ANN TOURISM RES, V91, DOI 10.1016/j.annals.2021.103140
   Malik MY, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138421
   Mensah IA, 2019, J CLEAN PROD, V228, P161, DOI 10.1016/j.jclepro.2019.04.281
   Mi ZF, 2017, J CLEAN PROD, V142, P2227, DOI 10.1016/j.jclepro.2016.11.055
   Mir G.-U.-R., 2017, I NEW EC THINKING WO, P34
   Moe E, 2010, ENERGY, V35, P1730, DOI 10.1016/j.energy.2009.12.026
   Muller S, 2020, SUSTAIN PROD CONSUMP, V22, P24, DOI 10.1016/j.spc.2020.02.002
   Munksgaard J, 2001, ENERG POLICY, V29, P327, DOI 10.1016/S0301-4215(00)00120-8
   Murshed M, 2021, ENERGY REP, V7, P808, DOI 10.1016/j.egyr.2021.01.038
   Nasir MA, 2018, ENERG ECON, V76, P76, DOI 10.1016/j.eneco.2018.09.023
   Nwani C, 2017, OPEC ENERGY REV, V41, P201, DOI 10.1111/opec.12102
   O'Neill J., 2005, How solid are the BRICs?
   Ohler AM, 2014, ECOL ECON, V107, P1, DOI 10.1016/j.ecolecon.2014.07.031
   Oxfam, 2020, Climate Change: Vital Signs of the Planet
   Pablo-Romero MD, 2015, ENERG ECON, V49, P420, DOI 10.1016/j.eneco.2015.03.010
   Padhan H, 2019, ENVIRON SCI POLLUT R, V26, P23129, DOI 10.1007/s11356-019-05568-2
   Pandey S, 2020, SUSTAIN PROD CONSUMP, V23, P274, DOI 10.1016/j.spc.2020.06.006
   Pesaran M., 2004, CAMBRIDGE WORKING PA, DOI [DOI 10.1007/s00181-020-01875-7, DOI 10.1007/S00181-020-01875-7]
   Pesaran MH, 2008, ECONOMET J, V11, P105, DOI 10.1111/j.1368-423X.2007.00227.x
   Pesaran MH, 2007, J APPL ECONOMET, V22, P265, DOI 10.1002/jae.951
   Pesaran MH, 2006, ECONOMETRICA, V74, P967, DOI 10.1111/j.1468-0262.2006.00692.x
   Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014
   Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108
   Popp D, 2002, AM ECON REV, V92, P160, DOI 10.1257/000282802760015658
   Sadorsky P, 2012, ENERG ECON, V34, P476, DOI 10.1016/j.eneco.2011.12.008
   Salahuddin M, 2016, INT J ELEC POWER, V76, P185, DOI 10.1016/j.ijepes.2015.11.005
   SalaiMartin XX, 1996, ECON J, V106, P1019, DOI 10.2307/2235375
   Salam A., 2018, USA TODAY
   Salman M, 2019, SCI TOTAL ENVIRON, V686, P1019, DOI 10.1016/j.scitotenv.2019.06.019
   Sato M, 2014, J ECON SURV, V28, P831, DOI 10.1111/joes.12027
   Sbia R, 2014, ECON MODEL, V36, P191, DOI 10.1016/j.econmod.2013.09.047
   Schmalensee R, 1998, REV ECON STAT, V80, P15, DOI 10.1162/003465398557294
   SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031
   SHAFIK N, 1994, OXFORD ECON PAP, V46, P757, DOI 10.1093/oep/46.Supplement_1.757
   Shahbaz M, 2017, ENERG ECON, V61, P221, DOI 10.1016/j.eneco.2016.11.008
   Shahbaz M, 2016, ENERG POLICY, V98, P33, DOI 10.1016/j.enpol.2016.08.011
   Shahbaz M, 2014, RENEW SUST ENERG REV, V31, P575, DOI 10.1016/j.rser.2013.12.028
   Shahzad SJH, 2017, RENEW SUST ENERG REV, V70, P185, DOI 10.1016/j.rser.2016.11.042
   Shahzad U, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124146
   Shahzad U, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123806
   Shigeto S, 2012, APPL ENERG, V90, P201, DOI 10.1016/j.apenergy.2011.03.049
   Steininger K, 2014, GLOBAL ENVIRON CHANG, V24, P75, DOI 10.1016/j.gloenvcha.2013.10.005
   Sun DY, 2021, ENVIRON SCI POLLUT R, V28, P21212, DOI 10.1007/s11356-020-12256-z
   Suri V, 1998, ECOL ECON, V25, P195, DOI 10.1016/S0921-8009(97)00180-8
   Tian X, 2014, APPL ENERG, V123, P19, DOI 10.1016/j.apenergy.2014.02.016
   Tian YX, 2020, ENVIRON SCI POLLUT R, V27, P42133, DOI 10.1007/s11356-020-10204-5
   Troster V, 2018, ENERG ECON, V70, P440, DOI 10.1016/j.eneco.2018.01.029
   UN Environment Programme, 2019, EM GAP REP 2019 EM GAP REP 2019
   UNCTAD, 2017, DAT STAT
   UNFCCC, 2016, interviewed by Steven King
   Usman O, 2019, ENVIRON SCI POLLUT R, V26, P13390, DOI 10.1007/s11356-019-04696-z
   van der Ploeg F, 2009, OXFORD ECON PAP, V61, P727, DOI 10.1093/oep/gpp027
   Vancauteren M, 2018, J TECHNOL TRANSFER, V43, P901, DOI 10.1007/s10961-016-9523-2
   Wang CX, 2015, J CLEAN PROD, V108, P464, DOI 10.1016/j.jclepro.2015.05.127
   Westerlund J, 2007, OXFORD B ECON STAT, V69, P709, DOI 10.1111/j.1468-0084.2007.00477.x
   Wiebe K.S., 2016, ESTIMATING CO2 EMISS, DOI DOI 10.1787/5JLRCM216XKL-EN
   Wilson D., 2003, DREAMINGWITH BRICS P
   Wong SL, 2013, ENERG POLICY, V62, P1581, DOI 10.1016/j.enpol.2013.07.025
   World Bank, 2020, World Bank Development Indicators
   Wu YL, 2018, J CLEAN PROD, V199, P518, DOI 10.1016/j.jclepro.2018.07.139
   Xia XF, 2019, IOP C SER EARTH ENV, V237, DOI 10.1088/1755-1315/237/5/052078
   Xu B, 2017, ENVIRON IMPACT ASSES, V63, P44, DOI 10.1016/j.eiar.2016.11.006
   Yang JW, 2004, WORLD ECON, V27, P1047, DOI 10.1111/j.1467-9701.2004.00640.x
   Yang L, 2017, ENERG POLICY, V101, P150, DOI 10.1016/j.enpol.2016.11.020
   Yang ZY, 2016, J CLEAN PROD, V133, P368, DOI 10.1016/j.jclepro.2016.05.134
   Yuan R, 2018, J CLEAN PROD, V192, P582, DOI 10.1016/j.jclepro.2018.04.255
   Zhang B, 2016, APPL ENERG, V184, P1093, DOI 10.1016/j.apenergy.2015.09.076
   Zhao LT, 2018, J CLEAN PROD, V171, P1429, DOI 10.1016/j.jclepro.2017.10.117
NR 132
TC 25
Z9 25
U1 1
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-5509
J9 SUSTAIN PROD CONSUMP
JI Sustain. Prod. Consump.
PD JUL
PY 2021
VL 27
BP 1064
EP 1076
DI 10.1016/j.spc.2021.02.019
EA MAR 2021
PG 13
WC Green & Sustainable Science & Technology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TK5JW
UT WOS:000674195700016
DA 2025-01-10
ER

PT J
AU Song, YL
   Wang, CY
   Linderholm, HW
   Tian, JF
   Shi, Y
   Xu, JX
   Liu, YJ
AF Song, Yanling
   Wang, Chunyi
   Linderholm, Hans W.
   Tian, Jinfeng
   Shi, Ying
   Xu, Jinxia
   Liu, Yanju
TI Agricultural Adaptation to Global Warming in the Tibetan Plateau
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE global warming; agricultural adaptation; Tibetan plateau
ID CLIMATE MODEL REGCM2; CHINA; TEMPERATURE; VARIABILITY; EXTREMES;
   IMPACTS; GROWTH; YIELD
AB The Tibetan plateau is one of the most sensitive areas in China and has been significantly affected by global warming. From 1961 to 2017, the annual air temperature increased by 0.32 degrees C/decade over the Tibetan Plateau, which is the highest in the whole of China. Furthermore, this is a trend that is projected to continue by 0.30 degrees C/decade from 2018 to 2050 due to global warming using the Regional Climate Model version 4 (RegCM4). The increased temperature trend in recent decades has been highest in winter, which has been positive for the safe dormancy of winter wheat. In order to investigate agricultural adaptation to climate change in the Tibetan plateau, we used the World Food Studies (WOFOST) cropping systems model and weather data from the regional climate model RegCM4, to simulate winter wheat production in Guide county between 2018 and 2050. The simulated winter wheat potential yields amounted to 6698.3 kg/ha from 2018 to 2050, which showed the wheat yields would increase by 81%, if winter wheat was planted instead of spring wheat in the Tibetan Plateau with the correct amount of irrigation water. These results indicate that there are not only risks to crop yields from climate change, but also potential benefits. Global warming introduced the possibility to plant winter wheat instead of spring wheat over the Tibetan Plateau. These findings are very important for farmers and government agencies dealing with agricultural adaptation in a warmer climate.
C1 [Song, Yanling; Wang, Chunyi] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China.
   [Linderholm, Hans W.] Univ Gothenburg, Dept Earth Sci, S-40530 Gothenburg, Sweden.
   [Linderholm, Hans W.] Univ Cambridge, Dept Geog, Cambridge CB2 3EN, England.
   [Tian, Jinfeng] Univ Kiel, Fac Agr & Nutr Sci, D-24118 Kiel, Germany.
   [Shi, Ying; Liu, Yanju] China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China.
   [Xu, Jinxia] China Meteorol Adm, Climate Ctr Sichuan Prov, Chengdu 610072, Sichuan, Peoples R China.
C3 China Meteorological Administration; Chinese Academy of Meteorological
   Sciences (CAMS); University of Gothenburg; University of Cambridge;
   University of Kiel; China Meteorological Administration; China
   Meteorological Administration
RP Wang, CY (corresponding author), Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China.
EM songyl@cma.gov.cn; wangcy@cma.gov.cn; hansl@gvc.gu.se;
   stu115178@mail.uni-kiel.de; shiying@cma.gov.cn; xuransige@sina.cn;
   liuyanj@cma.gov.cn
RI Linderholm, Hans/N-1020-2013
OI Linderholm, Hans/0000-0002-1522-8919
FU National Key R&D Program of China [2018YFC1505605, 2017YFC1502402];
   China Special Fund for Meteorological Research in the Public Interest
   [GYHY201506019]
FX This work is supported by the National Key R&D Program of China
   (2018YFC1505605, 2017YFC1502402) and the China Special Fund for
   Meteorological Research in the Public Interest (GYHY201506019).
CR [Anonymous], 2014, CLIMATE CHANGE 2014
   [Anonymous], 2017, CHIN STAT YB
   Cheng JH, 2015, TRENDS MATH, P3, DOI 10.1007/978-3-319-21284-5_1
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   GIORGI F, 1993, MON WEATHER REV, V121, P2794, DOI 10.1175/1520-0493(1993)121<2794:DOASGR>2.0.CO;2
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   GIORGI F, 1993, MON WEATHER REV, V121, P2814, DOI 10.1175/1520-0493(1993)121<2814:DOASGR>2.0.CO;2
   Hulme M, 1999, NATURE, V397, P688, DOI 10.1038/17789
   Jin SB, 1996, CHINESE WHEAT SCI
   Lal M, 1999, AGR FOREST METEOROL, V93, P53, DOI 10.1016/S0168-1923(98)00105-1
   Lin E., 1997, MODELING IMPACTS GLO, P142
   NCC (National Climate Center), 2016, MON B CLIM CHANG CHI, P16
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Peñuelas J, 2002, GLOBAL CHANGE BIOL, V8, P531, DOI 10.1046/j.1365-2486.2002.00489.x
   Riha SJ, 1996, CLIMATIC CHANGE, V32, P293, DOI 10.1007/BF00142466
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Song Y.L., 2005, ACTA METEOROL SIN, V19, P501
   Song YL, 2006, CLIM RES, V32, P219, DOI 10.3354/cr032219
   Song YL, 2012, ACTA METEOROL SIN, V26, P516, DOI 10.1007/s13351-012-0410-4
   Song YL, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034025
   Song YL, 2010, INT J CLIMATOL, V30, P33, DOI 10.1002/joc.1868
   Song Y, 2017, PROC ASME DES ENG TE
   Su BD, 2018, P NATL ACAD SCI USA, V115, P10600, DOI 10.1073/pnas.1802129115
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   VANDIEPEN CA, 1989, SOIL USE MANAGE, V5, P16, DOI 10.1111/j.1475-2743.1989.tb00755.x
   VANLANEN HAJ, 1992, AGR SYST, V39, P307, DOI 10.1016/0308-521X(92)90102-T
   [邬定荣 Wu Dingrong], 2003, [植物生态学报, Acta Phytoecologica Sinica], V27, P594
   Xu Y, 2018, ADV ATMOS SCI, V35, P376, DOI 10.1007/s00376-017-6269-1
NR 29
TC 15
Z9 16
U1 4
U2 77
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD OCT
PY 2019
VL 16
IS 19
AR 3686
DI 10.3390/ijerph16193686
PG 11
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 JK3MF
UT WOS:000494748600182
PM 31575015
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Yousuf, F
   Carnegie, AJ
   Bedding, RA
   Bashford, R
   Nicol, HI
   Gurr, GM
AF Yousuf, Fazila
   Carnegie, Angus J.
   Bedding, Robin A.
   Bashford, Richard
   Nicol, Helen I.
   Gurr, Geoff M.
TI Effect of temperature on woodwasp (<i>Sirex noctilio</i> F.) development
   and parasitism by the entomopathogenic nematode, <i>Deladenus
   siricidicola</i>
SO BIOLOGICAL CONTROL
LA English
DT Article
DE Beddingia siricidicola; Biological control; Parasitism; Pinus radiata;
   Trap trees; Climate change
ID INVASIVE WOODWASP; SIZE; HYMENOPTERA; DROUGHT; SCALE; PEST;
   NEOTYLENCHIDAE; EXPANSION; OUTBREAKS; FITNESS
AB The woodwasp, Sirex noctilio, is a significant global pest of exotic pine plantations in the Southern Hemisphere and now threatens native pine forests in North America. Management in Australia relies on biocontrol using the nematode, Deladenus (= Beddingia) siricidicola (Bedding), which infects and sterilises females who then further disperse the nematode. This pest is spreading into warmer regions in Australia and South America and coupled with the threat of global climate change, there is uncertainty as to how increasing temperatures will affect the biocontrol program. S. noctilio within nematode-inoculated wood were reared at four temperatures (24, 25.3, 26.6 and 28 degrees C) to investigate the effects of elevated temperatures on wasp development (emergence time, sex ratio and size), development of eggs (number, size, and maturation) and infection by the nematode. At 24 degrees C, which reflects current field temperature, S. noctilio were bigger in size and all the eggs were normal and all were infected with nematodes. Modest rises in temperature reflecting climate change scenarios resulted in smaller sized S. noctilio, disrupted egg development and maturation, and lowered the nematode sterilisation rate in females. Reduced S. noctilio female body size and egg infection will likely compromise biocontrol by D. siricidicola in its current distribution, but disrupted egg development may act directly on the pest, limiting dispersal of S. noctilio into subtropical pine plantations and adaptation to climate change. (C) 2014 Elsevier Inc. All rights reserved.
C1 [Yousuf, Fazila; Gurr, Geoff M.] Graham Ctr Agr Innovat, NSW Dept Primary Ind, Orange, NSW 2800, Australia.
   [Yousuf, Fazila; Gurr, Geoff M.] Charles Sturt Univ, Orange, NSW 2800, Australia.
   [Carnegie, Angus J.] NSW Dept Primary Ind, Biosecur NSW, Parramatta, NSW 2119, Australia.
   [Bedding, Robin A.] CSIRO Ecosyst Sci, Canberra, ACT 2601, Australia.
   [Bashford, Richard] Forestry Tasmania, Hobart, Tas 7000, Australia.
   [Nicol, Helen I.] Dalyup Stat Consulting, Orange, NSW 2800, Australia.
   [Gurr, Geoff M.] Charles Sturt Univ, Sch Agr & Wine Sci, Orange, NSW 2800, Australia.
   [Nicol, Helen I.] Fujian Agr & Forestry Univ, Inst Appl Ecol, Fuzhou 350002, Fujian, Peoples R China.
C3 Department of Primary Industries & Regional Development NSW; Charles
   Sturt University; Department of Primary Industries & Regional
   Development NSW; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Ecosystem Sciences; Charles Sturt University;
   Fujian Agriculture & Forestry University
RP Gurr, GM (corresponding author), NSW & Charles Sturt Univ, Graham Ctr Agr Innovat, Primary Ind, POB 883, Orange, NSW 2800, Australia.
EM ggurr@csu.edu.au
RI GURR, GEOFFREY/F-3519-2011; Carnegie, Angus/H-6153-2015
OI Yousuf, Fazila/0000-0003-3678-8437; Gurr, Geoff/0000-0001-5008-7966;
   Carnegie, Angus/0000-0002-6854-4974
FU Australian Research Council (ARC); National Sirex Coordination Committee
   (NSCC), Australia
FX Funding for this work was provided by the Australian Research Council
   (ARC) and the National Sirex Coordination Committee (NSCC), Australia.
   The authors acknowledge the support from the following people who helped
   in organizing and cutting billets from the trap tree plots: Mr. David
   Wright, Mrs. Joe Anderson, Mr. David Anderson, Mr. Dan Kirby and Mr. Rod
   Baker (Forestry Corporation of NSW), Dr. Charlma Phillips, Mr. Andy
   Berzins (Forestry South Australia) and Mr. Syed Rizvi (Charles Sturt
   University). The authors also acknowledged the initial input from Dr.
   Catherine Gitau in experimental design.
CR AKHURST RJ, 1975, NEMATOLOGICA, V21, P267, DOI 10.1163/187529275X00013
   [Anonymous], VICTORIA B
   [Anonymous], 1993, HOT BLOODED INSECTS
   [Anonymous], BIOL ASPECTS SIREX N
   [Anonymous], TRAINING CONTROL SIR
   ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/S0065-2504(08)60212-3
   Bale JS, 2002, GLOBAL CHANGE BIOL, V8, P1, DOI 10.1046/j.1365-2486.2002.00451.x
   Battisti A, 2006, GLOBAL CHANGE BIOL, V12, P662, DOI 10.1111/j.1365-2486.2006.01124.x
   Battisti A, 2005, ECOL APPL, V15, P2084, DOI 10.1890/04-1903
   Bedding RA, 2005, NEMATODES AS BIOCONTROL AGENTS, P385, DOI 10.1079/9780851990170.0385
   Bedding R.A., 1984, P755
   BEDDING R A, 1974, Journal of the Australian Entomological Society, V13, P129
   BEDDING RA, 1967, NATURE, V214, P174, DOI 10.1038/214174a0
   BEDDING RA, 1972, NEMATOLOGICA, V18, P482, DOI 10.1163/187529272X00098
   Bedding Robin A., 2009, V6, P213
   Blanckenhorn WU, 2000, EVOL ECOL, V14, P627, DOI 10.1023/A:1010911017700
   Bruzzone OA, 2009, J EXP BIOL, V212, P731, DOI 10.1242/jeb.022517
   Caldeira MD, 2002, ANN FOREST SCI, V59, P99, DOI 10.1051/forest:2001009
   Carnegie AJ, 2006, ANN FOREST SCI, V63, P119, DOI 10.1051/forest:2005104
   Carnegie Angus J., 2005, New Zealand Journal of Forestry Science, V35, P223
   Carnegie AJ, 2012, SIREX WOODWASP AND ITS FUNGAL SYMBIONT: RESEARCH AND MANAGEMENT OF A WORLDWIDE INVASIVE PEST, P175, DOI 10.1007/978-94-007-1960-6_14
   Christoff P., 2013, Four Degrees of Global Warming: Australia in a Hot World
   Clarke A, 2004, FUNCT ECOL, V18, P243, DOI 10.1111/j.0269-8463.2004.00841.x
   Collett NG, 2009, AGR FOREST ENTOMOL, V11, P283, DOI 10.1111/j.1461-9563.2008.00422.x
   Corley JC, 2012, SIREX WOODWASP AND ITS FUNGAL SYMBIONT: RESEARCH AND MANAGEMENT OF A WORLDWIDE INVASIVE PEST, P51, DOI 10.1007/978-94-007-1960-6_4
   de Groot Peter, 2006, Great Lakes Entomologist, V39, P49
   Gan JB, 2004, FOREST ECOL MANAG, V191, P61, DOI 10.1016/j.foreco.2003.11.001
   Gillooly JF, 2001, SCIENCE, V293, P2248, DOI 10.1126/science.1061967
   Hoebeke E. R., 2005, Newsletter of the Michigan Entomological Society, V50, P24
   HONEK A, 1993, OIKOS, V66, P483, DOI 10.2307/3544943
   Hou R.F., 1985, Chinese Journal of Entomology, V4, P107
   Hurley BP, 2008, BIOL CONTROL, V45, P450, DOI 10.1016/j.biocontrol.2008.02.010
   Hurley BP, 2007, AGR FOREST ENTOMOL, V9, P159, DOI 10.1111/j.1461-9563.2007.00340.x
   ISENHOUR DJ, 1981, ANN ENTOMOL SOC AM, V74, P114, DOI 10.1093/aesa/74.1.114
   Kant R, 2012, BIOCONTROL, V57, P759, DOI 10.1007/s10526-012-9452-4
   Kingsolver JG, 2008, EVOL ECOL RES, V10, P251
   Kroll SA, 2013, BIOL CONTROL, V67, P203, DOI 10.1016/j.biocontrol.2013.08.005
   LAWRENCE PO, 1986, J INSECT PHYSIOL, V32, P295, DOI 10.1016/0022-1910(86)90042-9
   Lexer MJ, 2002, FOREST ECOL MANAG, V162, P53, DOI 10.1016/S0378-1127(02)00050-6
   Madden J.L., 1988, P407
   MADDEN JL, 1981, AUST J ZOOL, V29, P493, DOI 10.1071/ZO9810493
   MATTSON WJ, 1987, BIOSCIENCE, V37, P110, DOI 10.2307/1310365
   MORGAN FD, 1966, T ROY SOC NZ ZOOL, V7, P195
   Neumann F. G., 1981, Australian Forestry, V44, P46
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   PERRIN N, 1995, OIKOS, V73, P137, DOI 10.2307/3545737
   Raffa KF, 2008, BIOSCIENCE, V58, P501, DOI 10.1641/B580607
   Rawlings G. B., 1948, New Zealand Journal of Forestry, V5, P411
   Riddiford L.M., 1975, P339
   Rouault G, 2006, ANN FOREST SCI, V63, P613, DOI 10.1051/forest:2006044
   Ryan K, 2012, SIREX WOODWASP AND ITS FUNGAL SYMBIONT: RESEARCH AND MANAGEMENT OF A WORLDWIDE INVASIVE PEST, P15, DOI 10.1007/978-94-007-1960-6_2
   Shi Sheng-Wei, 2007, Journal of Zhejiang University-Science B, V8, P33, DOI 10.1631/jzus.2007.B0033
   Slippers B, 2012, SIREX WOODWASP AND ITS FUNGAL SYMBIONT: RESEARCH AND MANAGEMENT OF A WORLDWIDE INVASIVE PEST, P1, DOI 10.1007/978-94-007-1960-6
   Slippers B, 2012, SIREX WOODWASP AND ITS FUNGAL SYMBIONT: RESEARCH AND MANAGEMENT OF A WORLDWIDE INVASIVE PEST, P119, DOI 10.1007/978-94-007-1960-6_9
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Speight M.R., 2008, Ecology of insects: concepts and applications
   Stelgenga MJ, 2007, J THERM BIOL, V32, P396, DOI 10.1016/j.jtherbio.2007.06.001
   TAYLOR K L, 1976, Entomophaga, V21, P429, DOI 10.1007/BF02371642
   Tribe GD, 1995, AFR ENTOMOL, V3, P215
   vanderHave TM, 1996, J THEOR BIOL, V183, P329, DOI 10.1006/jtbi.1996.0224
   Lantschner MV, 2014, BIOL INVASIONS, V16, P329, DOI 10.1007/s10530-013-0521-0
   Villacide JM, 2008, AGR FOREST ENTOMOL, V10, P341, DOI 10.1111/j.1461-9563.2008.00395.x
   Villacide JM, 2012, INT J PEST MANAGE, V58, P249, DOI 10.1080/09670874.2012.701022
   von Bertalanffy L., 1960, FUNDAMENTAL ASPECTS, P137
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wermelinger B, 1999, ECOL ENTOMOL, V24, P103, DOI 10.1046/j.1365-2311.1999.00175.x
   Zondag R., 1977, SIREX NOCTILIO FABRI
NR 67
TC 16
Z9 20
U1 0
U2 56
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 2014
VL 79
BP 67
EP 74
DI 10.1016/j.biocontrol.2014.08.007
PG 8
WC Biotechnology & Applied Microbiology; Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Entomology
GA AT1TP
UT WOS:000344717100009
DA 2025-01-10
ER

PT J
AU Fernando, N
   Panozzo, J
   Tausz, M
   Norton, RM
   Fitzgerald, GJ
   Myers, S
   Nicolas, ME
   Seneweera, S
AF Fernando, Nimesha
   Panozzo, Joe
   Tausz, Michael
   Norton, Robert M.
   Fitzgerald, Glenn J.
   Myers, Samuel
   Nicolas, Marc E.
   Seneweera, Saman
TI Intra-specific variation of wheat grain quality in response to elevated
   [CO<sub>2</sub>] at two sowing times under rain-fed and irrigation
   treatments
SO JOURNAL OF CEREAL SCIENCE
LA English
DT Article
DE Free-air carbon dioxide enrichment (FACE); Intra-specific variation;
   Grain quality; Wheat
ID STAPLE FOOD CROPS; ATMOSPHERIC CO2; CARBON-DIOXIDE; YIELD; VARIETIES;
   HEAT; DROUGHT; DENSITY
AB In order to investigate the intra-specific variation of wheat grain quality response to elevated atmospheric CO2 concentration (e[CO2]), eight wheat (Triticum aestivum L.)cultivars were grown at two CO2 concentrations ([CO2]) (current atmospheric, 389 CO2 mu mol mol(-1) vs. e[CO2], FACE (Free-Air CO2 Enrichment), 550 +/- 10% CO2 mu mol mol(-1)), at two water levels (rain-fed vs. irrigated) and at two times of sowing (TOS1, vs. TOS2). The TOS treatment was mainly imposed to understand whether e[CO2] could modify the effects of timing of higher grain filling temperatures on grain quality. When plants were grown at TOS1, TKW (thousand kernel weight), grain test weight, hardness index, P, Ca, Na and phytate were not significantly changed under e[CO2]. On the other hand, e[CO2] increased TKW (16%), hardness index (9%), kernel diameter (6%), test weight (2%) but decreased grain protein (10%) and grain phytate (11%) at TOS2. In regard to grain Zn, Mn and Cu concentrations and some flour rheological properties, cultivar specific responses to e[CO2] were observed at both sowing times. Observed genetic variability in response to e[CO2] in terms of grain minerals and flour rheological properties could be easily incorporated into future wheat breeding programs to enable adaptation to climate change. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Fernando, Nimesha; Seneweera, Saman] Univ Melbourne, Melbourne Sch Land & Environm, Dept Agr & Food Syst, Creswick, Vic 3363, Australia.
   [Panozzo, Joe; Fitzgerald, Glenn J.] Dept Environm & Primary Ind, Horsham, Vic 3401, Australia.
   [Tausz, Michael] Univ Melbourne, Melbourne Sch Land & Environm, Dept Forest & Ecosyst Sci, Creswick, Vic 3363, Australia.
   [Norton, Robert M.] Int Plant Nutr Inst, Horsham, Vic 3400, Australia.
   [Myers, Samuel] Harvard Univ, Sch Med, Sch Publ Hlth, Landmark Ctr,Dept Environm Hlth, Boston, MA 02215 USA.
   [Nicolas, Marc E.] Univ Melbourne, Melbourne Sch Land & Environm, Dept Agr & Food Syst, Parkville, Vic 3010, Australia.
C3 University of Melbourne; University of Melbourne; Harvard University;
   Harvard T.H. Chan School of Public Health; Harvard Medical School;
   University of Melbourne
RP Seneweera, S (corresponding author), Univ Melbourne, Melbourne Sch Land & Environm, Dept Agr & Food Syst, Water St, Creswick, Vic 3363, Australia.
EM samans@unimelb.edu.au
RI Seneweera, Saman/H-3770-2012; Tausz, Michael/C-1990-2013
OI /0000-0003-3011-9953; Tausz, Michael/0000-0001-8205-8561
FU Grains Research and Development Corporation; Australian Commonwealth
   Department of Agriculture, Fisheries and Forestry
FX Research at the AGFACE facility is jointly run by the Victorian State
   Government Department of Environment and Primary Industries and the
   University of Melbourne, with funding by the Grains Research and
   Development Corporation and the Australian Commonwealth Department of
   Agriculture, Fisheries and Forestry. We also thank Victor Raboy, United
   States Department of Agriculture for assistance with the phytate
   measurements.
CR Balla K, 2011, CZECH J FOOD SCI, V29, P117, DOI 10.17221/227/2010-CJFS
   BEHL R, 1987, PLANTA, V172, P531, DOI 10.1007/BF00393871
   Brinch-Pedersen H, 2007, J CEREAL SCI, V46, P308, DOI 10.1016/j.jcs.2007.02.004
   Cakmak I., 2004, Proceedings - International Fertiliser Society, P1
   Cakmak I, 2004, SOIL SCI PLANT NUTR, V50, P1047, DOI 10.1080/00380768.2004.10408573
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   Erekul O, 2012, TURK J FIELD CROPS, V17, P78
   Fan MS, 2008, J TRACE ELEM MED BIO, V22, P315, DOI 10.1016/j.jtemb.2008.07.002
   Fernando N, 2012, J CEREAL SCI, V56, P684, DOI 10.1016/j.jcs.2012.07.010
   Gouache D, 2012, EUR J AGRON, V39, P62, DOI 10.1016/j.eja.2012.01.009
   Graham R, 1999, FIELD CROP RES, V60, P57, DOI 10.1016/S0378-4290(98)00133-6
   HAUG W, 1983, J SCI FOOD AGR, V34, P1423, DOI 10.1002/jsfa.2740341217
   Henderson L., 2003, NATL DIET NUTR SURVE
   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
   Hutchinson MF, 2005, GLOBAL ECOL BIOGEOGR, V14, P197, DOI 10.1111/j.1466-822x.2005.00154.x
   Isbell R., 2016, The Australian soil classification
   Keeling R. F., 2009, TRENDS COMPENDIUM DA
   Kimball BA, 2001, NEW PHYTOL, V150, P295, DOI 10.1046/j.1469-8137.2001.00107.x
   Loewus FA, 2000, PLANT SCI, V150, P1, DOI 10.1016/S0168-9452(99)00150-8
   Malik AH, 2013, J CEREAL SCI, V57, P170, DOI 10.1016/j.jcs.2012.09.017
   Mollah M, 2009, CROP PASTURE SCI, V60, P697, DOI 10.1071/CP08354
   Paull JG, 1998, THEOR APPL GENET, V96, P435, DOI 10.1007/s001220050760
   STONE PJ, 1994, AUST J PLANT PHYSIOL, V21, P887, DOI 10.1071/PP9940887
   Tausz M, 2013, ENVIRON EXP BOT, V88, P71, DOI 10.1016/j.envexpbot.2011.12.005
   van Herwaarden AF, 1998, AUST J AGR RES, V49, P1067, DOI 10.1071/A97039
   Van Oijen M, 1999, GLOB CHANGE BIOL, V5, P411, DOI 10.1046/j.1365-2486.1999.00233.x
   Wang L, 2013, J EXP BOT, V64, P2713, DOI 10.1093/jxb/ert117
   Wardlaw I.F., 1990, NEW PHYTOL, V341
   Welch RM, 2004, J EXP BOT, V55, P353, DOI 10.1093/jxb/erh064
   ZARCINAS BA, 1987, COMMUN SOIL SCI PLAN, V18, P131, DOI 10.1080/00103628709367806
   Zhang Y, 2010, EUPHYTICA, V174, P303, DOI 10.1007/s10681-009-0082-6
   Ziska LH, 2004, GLOBAL CHANGE BIOL, V10, P1810, DOI 10.1111/j.1365-2486.2004.00840.x
NR 33
TC 39
Z9 42
U1 3
U2 86
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0733-5210
EI 1095-9963
J9 J CEREAL SCI
JI J. Cereal Sci.
PD MAR
PY 2014
VL 59
IS 2
BP 137
EP 144
DI 10.1016/j.jcs.2013.12.002
PG 8
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA AE2DF
UT WOS:000333782800006
DA 2025-01-10
ER

PT J
AU Khoury, CK
   Greene, S
   Wiersema, J
   Maxted, N
   Jarvis, A
   Struik, PC
AF Khoury, Colin K.
   Greene, Stephanie
   Wiersema, John
   Maxted, Nigel
   Jarvis, Andy
   Struik, Paul C.
TI An Inventory of Crop Wild Relatives of the United States
SO CROP SCIENCE
LA English
DT Article
ID IN-SITU CONSERVATION; GERMPLASM LINES; INTERSPECIFIC HYBRIDIZATION;
   TRITICUM-TAUSCHII; GENETIC-RESOURCES; HORDEUM-BULBOSUM; WHEAT GERMPLASM;
   CLIMATE-CHANGE; T-TAUSCHII; REGISTRATION
AB The use of crop wild relatives (CWRs) in breeding is likely to continue to intensify as utilization techniques improve and crop adaptation to climate change becomes more pressing. Significant gaps remain in the conservation of these genetic resources. As a first step toward a national strategy for the conservation of CWRs, we present an inventory of taxa occurring in the United States, with suggested prioritization of species based on potential value in crop improvement. We listed 4600 taxa from 985 genera and 194 plant families, including CWRs of potential value via breeding as well as wild species of direct use for food, forage, medicine, herb, ornamental, and/or environmental restoration purposes. United States CWRs are related to a broad range of important food, forage and feed, medicinal, ornamental, and industrial crops. Some potentially valuable species are threatened in the wild, including relatives of sunflower (Helianthus annuus L.), walnut (Juglans regia L.), pepo squash (Cucurbita pepo L.), wild rice (Zizania L.), raspberry (Rubus idaeus L.), and plum (Prunus salicina Lindl.), and few accessions of such taxa are currently conserved ex situ. We prioritize 821 taxa from 69 genera primarily related to major food crops, particularly the approximately 285 native taxa from 30 genera that are most closely related to such crops. Both the urgent collection for ex situ conservation and the management of such taxa in protected areas are warranted, necessitating partnerships between concerned organizations, aligned with regional and global initiatives to conserve and provide access to CWR diversity.
C1 [Khoury, Colin K.; Jarvis, Andy] Int Ctr Trop Agr CIAT, Cali, Colombia.
   [Khoury, Colin K.; Struik, Paul C.] Wageningen Univ, Ctr Crop Syst Anal, NL-6708 PB Wageningen, Netherlands.
   [Greene, Stephanie] ARS, USDA, Prosser, WA 99350 USA.
   [Wiersema, John] ARS, USDA, Natl Germplasm Res Lab, Beltsville, MD 20705 USA.
   [Maxted, Nigel] Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England.
   [Jarvis, Andy] CGIAR Res Program Climate Change Agr & Food Secur, Cali, Colombia.
C3 Alliance; International Center for Tropical Agriculture - CIAT;
   Wageningen University & Research; United States Department of
   Agriculture (USDA); United States Department of Agriculture (USDA);
   University of Birmingham; CGIAR
RP Khoury, CK (corresponding author), Int Ctr Trop Agr CIAT, Km 17,Apartado Aereo 6713, Cali, Colombia.
EM c.khoury@cgiar.org
RI Khoury, Colin/AAA-1864-2020; Jarvis, Andy/K-5516-2013
OI Wiersema, John/0000-0001-9383-2807; Jarvis, Andy/0000-0001-6543-0798;
   Greene, Stephanie/0000-0002-3624-5021; Khoury, Colin
   K./0000-0001-7893-5744
FU Global Crop Diversity Trust, Rome, Italy
FX Research by the corresponding author was funded by the Global Crop
   Diversity Trust, Rome, Italy. We thank the NPGS curators, members of the
   NPGS Crop Germplasm Committees, and ARS crop experts for their inputs on
   the Inventory and Gary Kinard, Edward Garvey, Karen Williams, and Larry
   Stritch for helpful comments on the manuscript.
CR Abberton MT, 2007, PLANT BREEDING, V126, P337, DOI 10.1111/j.1439-0523.2007.01374.x
   Amsellem L, 2000, MOL ECOL, V9, P443, DOI 10.1046/j.1365-294x.2000.00876.x
   Andersson M.S., 2010, GENE FLOW CROPS THER
   [Anonymous], 2011, World Economic Plants: A Standard Reference
   [Anonymous], 2012, The IUCN Programme 20132016
   [Anonymous], 2002, INT TREAT PLANT GEN
   [Anonymous], 2012, GRIN GERMPL RES INF
   [Anonymous], ANN REV ENV RESOUR
   [Anonymous], 2010, PLANTS DAT
   [Anonymous], 1 IUCN NAT HIST MUS
   Ballington JR, 2001, HORTSCIENCE, V36, P213, DOI 10.21273/HORTSCI.36.2.213
   Barnes D. K., 1977, Technical Bulletin, United States Department of Agriculture
   Barney D.L., 2005, Currants, Gooseberries, and Jostaberries: A Guide for Growers, Marketers, and Researchers in North America
   Bilz M., 2011, EUROPEAN RED LIST VA
   Bossdorf O, 2005, OECOLOGIA, V144, P1, DOI 10.1007/s00442-005-0070-z
   Boyle B, 2013, BMC BIOINFORMATICS, V14, DOI 10.1186/1471-2105-14-16
   Bradshaw J.E., 2006, Potato Res, V49, P49, DOI DOI 10.1007/S11540-006-9002-5
   Brehm JM, 2008, GENET RESOUR CROP EV, V55, P779, DOI 10.1007/s10722-007-9283-9
   Brennan R. M., 2008, P177, DOI 10.1007/978-1-4020-6907-9_6
   Bretting P.K., 1986, Journal of California and Great Basin Anthropology, V8, P226
   Bureau of Land Management, 2012, SEEDS SUCC
   Center for Plant Conservation (CPC), 2012, CTR PLANT CONS CONS
   Chuda A, 2009, ACTA PHYSIOL PLANT, V31, P223, DOI 10.1007/s11738-008-0236-5
   COX TS, 1995, CROP SCI, V35, P913, DOI 10.2135/cropsci1995.0011183X003500030047x
   EENINK AH, 1982, EUPHYTICA, V31, P291, DOI 10.1007/BF00021643
   El-Khlifi O. K., 2004, Plant Genetic Resources Newsletter, P43
   FAO, 2010, 2 FAO
   FAROOQ S, 1995, CEREAL RES COMMUN, V23, P275
   Finn C, 2001, HORTSCIENCE, V36, P236, DOI 10.21273/HORTSCI.36.2.236
   Flack J.R., 1970, SPREAD DOMESTICATION, P482
   Flora of North America Association (FNA), 2008, FLO N AM INTR
   Flora of North America Association (FNA), 2008, FLORA N AM
   Ford-Lloyd BV, 2011, BIOSCIENCE, V61, P559, DOI 10.1525/bio.2011.61.7.10
   Frese L., 2000, Broadening the genetic base of crop production, P295, DOI 10.1079/9780851994116.0295
   Gale G., 2003, Wine: A Scientific Exploration
   Global Biodiversity Information Facility (GBIF), 2012, GBIF DAT PORT
   Global Strategy for Plant Conservation (GSPC), 2002, CONV BIOL DIV
   GOODMAN RM, 1987, SCIENCE, V236, P48, DOI 10.1126/science.236.4797.48
   Gororo NN, 2002, EUPHYTICA, V123, P241, DOI 10.1023/A:1014910000128
   Groombridge B., 2002, World atlas of biodiversity: earth's living resources in the 21st century
   Guarino L, 2011, NAT CLIM CHANGE, V1, P374, DOI 10.1038/nclimate1272
   Guo Q., 2009, Proceedings 20th U.S. Department of Agriculture Interagency Research Forum on Invasive Species 2009, Gen. Tech. Rep. NRS-P-51, P73
   Gur A, 2004, PLOS BIOL, V2, P1610, DOI 10.1371/journal.pbio.0020245
   Hajjar R, 2007, EUPHYTICA, V156, P1, DOI 10.1007/s10681-007-9363-0
   Hanna WW, 1997, CROP SCI, V37, P614, DOI 10.2135/cropsci1997.0011183X003700020050x
   HARLAN J R, 1971, Taxon, V20, P509, DOI 10.2307/1218252
   HARLAN JR, 1976, CROP SCI, V16, P329, DOI 10.2135/cropsci1976.0011183X001600030004x
   Heywood Vernon Hilton, 2008, Turkish Journal of Botany, V32, P421
   Hijmans RJ, 2001, AM J BOT, V88, P2101, DOI 10.2307/3558435
   HOES JA, 1973, PHYTOPATHOLOGY, V63, P1517, DOI 10.1094/Phyto-63-1517
   Hoffman DL, 2006, CROP SCI, V46, P2630, DOI 10.2135/cropsci2006.01.0014
   Hooftman DAP, 2007, J APPL ECOL, V44, P1035, DOI 10.1111/j.1365-2664.2007.01341.x
   Hulke BS, 2010, J PLANT REGIST, V4, P93, DOI 10.3198/jpr2009.08.0426crgs
   Hummer KE, 2011, WILD CROP RELATIVES: GENOMIC AND BREEDING RESOURCES: TEMPERATE FRUITS, P17, DOI 10.1007/978-3-642-16057-8_2
   Iltis H.H., 1988, Biodiversity, P98
   Jan CC, 2006, CROP SCI, V46, P1835, DOI 10.2135/cropsci2005.12-0507
   JAN CC, 1988, CROP SCI, V28, P1040, DOI 10.2135/cropsci1988.0011183X002800060072x
   Jan CC, 2002, CROP SCI, V42, P2217, DOI 10.2135/cropsci2002.2217
   Jan CC, 2004, CROP SCI, V44, P1887, DOI 10.2135/cropsci2004.1887
   JAN CC, 1992, CROP SCI, V32, P1513, DOI 10.2135/cropsci1992.0011183X003200060051x
   Jarvis A, 2005, GENET RESOUR CROP EV, V52, P671, DOI 10.1007/s10722-003-6020-x
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Kell S. P., 2008, P69
   Khrustaleva LI, 1998, THEOR APPL GENET, V96, P8, DOI 10.1007/s001220050702
   Kraft KH, 2013, GENET RESOUR CROP EV, V60, P225, DOI 10.1007/s10722-012-9827-5
   Lexer C, 2004, NEW PHYTOL, V161, P225, DOI 10.1046/j.1469-8137.2003.00925.x
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   MA H, 1995, EUPHYTICA, V82, P117, DOI 10.1007/BF00027057
   Mallikarjuna N, 2006, EUPHYTICA, V149, P161, DOI 10.1007/s10681-005-9063-6
   Maxted N, 2012, AGROBIODIVERSITY CONSERVATION: SECURING THE DIVERSITY OF CROP WILD RELATIVES AND LANDRACES, P333, DOI 10.1079/9781845938512.0333
   Maxted N., 1997, Plant genetic conservation: the in situ approach., P15
   Maxted N., 2009, Establishment of a Global Network for the, P266
   Maxted N, 2008, DIVERS DISTRIB, V14, P1018, DOI 10.1111/j.1472-4642.2008.00512.x
   Maxted N, 2006, BIODIVERS CONSERV, V15, P2673, DOI 10.1007/s10531-005-5409-6
   Maxted N, 2012, CROP SCI, V52, P774, DOI 10.2135/cropsci2011.08.0415
   McCouch SR, 2007, EUPHYTICA, V154, P317, DOI 10.1007/s10681-006-9210-8
   McGranahan Gale, 2009, P249, DOI 10.1007/978-0-387-71203-1_8
   McGuffin M., 2000, HERBS OF COMMERCE, V2nd, P421
   Meilleur BA, 2004, BIODIVERS CONSERV, V13, P663, DOI 10.1023/B:BIOC.0000011719.03230.17
   Mii M, 2009, ACTA HORTIC, V836, P63, DOI 10.17660/ActaHortic.2009.836.8
   MILLER JF, 1988, CROP SCI, V28, P1040, DOI 10.2135/cropsci1988.0011183X002800060073x
   Miller JF, 1999, CROP SCI, V39, P301, DOI 10.2135/cropsci1999.0011183X003900010075x
   Nabhan G. P., 1990, Diversity, V6, P47
   NABHAN GP, 1985, ECON BOT, V39, P387, DOI 10.1007/BF02858746
   NatureServe, 2009, NatureServe Explorer: An online encyclopedia of life
   Ortiz R, 2008, AGR ECOSYST ENVIRON, V126, P46, DOI 10.1016/j.agee.2008.01.019
   Parra-Quijano M, 2012, BIODIVERS CONSERV, V21, P79, DOI 10.1007/s10531-011-0167-0
   Pavek DS, 2001, HORTSCIENCE, V36, P232, DOI 10.21273/HORTSCI.36.2.232
   Peel MD, 2009, J PLANT REGIST, V3, P115, DOI 10.3198/jpr2008.10.0597crc
   PENA RJ, 1995, J CEREAL SCI, V21, P15, DOI 10.1016/S0733-5210(95)80004-2
   Peredo EL, 2010, GENET RESOUR CROP EV, V57, P575, DOI 10.1007/s10722-009-9495-2
   Pestsova EG, 2006, THEOR APPL GENET, V112, P634, DOI 10.1007/s00122-005-0166-1
   Phillips OL, 1998, ECON BOT, V52, P57, DOI 10.1007/BF02861295
   Pickering R, 2005, CYTOGENET GENOME RES, V109, P344, DOI 10.1159/000082418
   Plant Germplasm Operations Committee, 1999, AM WILD REL CROPS SI
   Prescott-Allen R.C. Prescott Allen., 1986, The first resource: wild species in the North American economy
   PRESCOTTALLEN R, 1990, CONSERV BIOL, V4, P365, DOI 10.1111/j.1523-1739.1990.tb00310.x
   Putt E.D., 1978, Sunflower science and technology, P1
   Ramírez-Villegas J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013497
   RAWAL KM, 1975, EUPHYTICA, V24, P699, DOI 10.1007/BF00132908
   Reisch B., 1996, FRUIT BREEDING VOLUM, P297
   ROGERS CE, 1984, CROP SCI, V24, P212, DOI 10.2135/cropsci1984.0011183X002400010058x
   Ross H., 1979, Proceedings of the Conference Broadening Genetic Base Crops, P237
   Ruge-Wehling B, 2006, THEOR APPL GENET, V113, P867, DOI 10.1007/s00122-006-0345-8
   Rygulla W, 2007, PHYTOPATHOLOGY, V97, P1391, DOI 10.1094/PHYTO-97-11-1391
   SAKAMOTO S, 1976, JARQ, V10, P183
   Seiler G.J., 2004, Proceedings of the 16th International Sunflower Conference, P43
   Seiler GJ, 2000, CROP SCI, V40, P587, DOI 10.2135/cropsci2000.0019rgp
   SEILER GJ, 1991, CROP SCI, V31, P1714
   Smith BD, 2006, P NATL ACAD SCI USA, V103, P12223, DOI 10.1073/pnas.0604335103
   Stein B.A., 2000, Precious Heritage, The Status of Biodiversity in the United States
   Suszkiw J., 2005, Hessian fly-resistant wheat germplasm available. Agricultural Research Service
   TAKEDA K, 1976, CROP SCI, V16, P817, DOI 10.2135/cropsci1976.0011183X001600060020x
   Tanksley SD, 1997, SCIENCE, V277, P1063, DOI 10.1126/science.277.5329.1063
   Thompson M. M., 1996, Fruit Breeding, VIII, P125, DOI DOI 10.1093/0XF0RDJ0URNALS.JHERED.A110035
   Toubia-Rahme H, 2003, PLANT BREEDING, V122, P405, DOI 10.1046/j.1439-0523.2003.00850.x
   U.S. Forest Service (USFS), 2010, CEL WILDFL ETHN WILD
   Ureta C, 2012, GLOBAL CHANGE BIOL, V18, P1073, DOI 10.1111/j.1365-2486.2011.02607.x
   VAVILOV N.I., 1926, B APPL BOT GENET PL, V16, P139, DOI DOI 10.1038/118392A0
   Villareal RL, 1996, CROP SCI, V36, P218, DOI 10.2135/cropsci1996.0011183X003600010056x
   Villareal RL, 2001, CROP SCI, V41, P274, DOI 10.2135/cropsci2001.411274x
   Vincent H.A., 2012, PRIORITISED CROP WIL
   Volk GM, 2011, HORTSCIENCE, V46, P1446, DOI 10.21273/HORTSCI.46.11.1446
   Wang WX, 2003, PLANTA, V218, P1, DOI 10.1007/s00425-003-1105-5
   WHELAN EDP, 1980, CROP SCI, V20, P832, DOI 10.2135/cropsci1980.0011183X002000060066x
   Wiersema JH, 2012, ACTA HORTIC, V948, P285, DOI 10.17660/ActaHortic.2012.948.33
   Wiersema J.H., 1999, World Economic Plants: A Standard Reference
   Wilkes G, 2007, MAYDICA, V52, P49
   Xiao JH, 1996, NATURE, V384, P223, DOI 10.1038/384223a0
   Xiu-Jin Lan, 1997, Euphytica, V95, P321, DOI 10.1023/A:1003078801358
   Zamir D, 2001, NAT REV GENET, V2, P983, DOI 10.1038/35103590
   Zhang LT, 2001, NEW ZEAL J CROP HORT, V29, P239, DOI 10.1080/01140671.2001.9514185
   Zizumbo-Villarreal D, 2005, CROP SCI, V45, P1073, DOI 10.2135/cropsci2004.0340
   Zizumbo-Villarreal D, 2010, GENET RESOUR CROP EV, V57, P813, DOI 10.1007/s10722-009-9521-4
NR 134
TC 61
Z9 68
U1 1
U2 62
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0011-183X
EI 1435-0653
J9 CROP SCI
JI Crop Sci.
PD JUL-AUG
PY 2013
VL 53
IS 4
BP 1496
EP 1508
DI 10.2135/cropsci2012.10.0585
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 157SB
UT WOS:000319918300030
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Beaulieu, J
   Rainville, A
AF Beaulieu, J
   Rainville, A
TI Adaptation to climate change: Genetic variation is both a short- and a
   long-term solution
SO FORESTRY CHRONICLE
LA English
DT Article
DE climate change; white spruce; provenance test; transfer model; site
   index; adaptation; plantation; GIS
ID PROVENANCE TESTS; POPULATIONS; GROWTH; RESPONSES; PATTERNS
AB We propose a methodology combining a biophysical site index model and a seed source transfer model based on both temperature and precipitation to estimate white spruce plantation yield under present and future global warming conditions. The biophysical site index model predicts dominant height at 25 years, which is further used to estimate plantation yield using yield tables. The transfer model shows that, on average, seed sources are best adapted to the temperature conditions where they presently grow, and give maximum yield under these conditions. However, this model also shows that transfer of seed sources to drier sites could improve plantation yield. To predict site index values under climate change conditions, values obtained from the biophysical site index model are corrected by a factor estimated using the seed source transfer model. Our simulation results predict that global warming should favour a slight increase in white spruce plantation yield in southern Quebec. However, one cannot expect to obtain similar yields from a seed source rapidly exposed to warmer conditions compared with a seed source that is presently growing under climatic conditions to which it has become adapted. It would take several generations (adaptation lag) for a seed source to adapt to warmer conditions. We believe that the method we propose will be helpful in identifying the most productive seed source to be used at any given location in the province, and in revising seed source transfer rules.
C1 Canadian Forestry Serv, Nat Resources Canada, Laurentian Forestry Ctr, Ste Foy, PQ G1V 4C7, Canada.
   Minist Ressources Nat & Faune Quebec, Direct Rech Forestiere, Ste Foy, PQ G1P 3W8, Canada.
C3 Natural Resources Canada; Canadian Forest Service
RP Beaulieu, J (corresponding author), Canadian Forestry Serv, Nat Resources Canada, Laurentian Forestry Ctr, 1055 PEPS,POB 3800, Ste Foy, PQ G1V 4C7, Canada.
EM JBeaulieu@cfl.forestry.ca
CR Andalo C, 2005, FOREST ECOL MANAG, V205, P169, DOI 10.1016/j.foreco.2004.10.045
   [Anonymous], 1998, Genetics and Analysis of Quantitative Traits (Sinauer)
   Bawa KS, 1998, CLIMATIC CHANGE, V39, P473, DOI 10.1023/A:1005360223639
   BAZZAZ FA, 1995, P NATL ACAD SCI USA, V92, P8161, DOI 10.1073/pnas.92.18.8161
   Beaulieu J, 2004, CAN J FOREST RES, V34, P531, DOI 10.1139/X03-224
   Beaulieu J., 2001, NAT CAN, V125, P193
   BOLGHARI HA, 1984, MEMOIRE RECHERCHE FO, V79
   Carter KK, 1996, CAN J FOREST RES, V26, P1089, DOI 10.1139/x26-120
   Hamrick J. L., 1992, New Forests, V6, P95, DOI 10.1007/BF00120641
   Li P, 1997, CAN J FOREST RES, V27, P189, DOI 10.1139/cjfr-27-2-189
   Mäkinen H, 2000, CAN J FOREST RES, V30, P769, DOI 10.1139/cjfr-30-5-769
   MASSE L, 1999, PRODUCTION MAT AMELI, P117
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   Nanson A, 2004, GENETIQUE AMELIORATI
   Regniere J, 1996, ENVIRON ENTOMOL, V25, P869, DOI 10.1093/ee/25.5.869
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Tuhkanen S., 1980, Acta Phytogeogr. Suec.
   Ung CH, 2001, FOREST SCI, V47, P83
NR 19
TC 27
Z9 30
U1 0
U2 10
PU CANADIAN INST FORESTRY
PI OTTAWA
PA 151 SLATER ST, STE 606, OTTAWA, ONTARIO K1P 5H3, CANADA
SN 0015-7546
J9 FOREST CHRON
JI For. Chron.
PD SEP-OCT
PY 2005
VL 81
IS 5
BP 704
EP 709
DI 10.5558/tfc81704-5
PG 6
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 979VW
UT WOS:000232974100031
OA Bronze
DA 2025-01-10
ER

PT J
AU Dodman, D
   Mitlin, D
   Co, JR
AF Dodman, David
   Mitlin, Diana
   Co, Jason Rayos
TI Victims to victors, disasters to opportunities
   <i>Community</i>-<i>driven responses to climate change in the
   Philippines</i>
SO INTERNATIONAL DEVELOPMENT PLANNING REVIEW
LA English
DT Article
ID VULNERABILITY; ADAPTATION; CAPACITY; CITY
AB Advocates of community-based adaptation claim that it heaps to identify, assist, and implement community-based development activities, research and policy in response to climate change. However, there has been little systematic examination of the ways in which existing experiences of dealing with hazard events con inform communily-based adaptation. This article analyses the experience of the Homeless People's Federation of the Philippines in respect of community-led disaster responses, with the aim of informing future discussions on the role of planning for climate change adaptation in low- and middle-income countries.
C1 [Dodman, David; Mitlin, Diana] Int Inst Environm & Dev, Human Settlements & Climate Change Grp, London WC1H 0DD, England.
   [Mitlin, Diana] Univ Manchester, Inst Dev Policy & Management, Manchester M13 9PL, Lancs, England.
   [Mitlin, Diana] Univ Manchester, Brooks World Poverty Inst, Manchester M13 9PL, Lancs, England.
   [Co, Jason Rayos] Philippine Act Community Led Shelter Initiat Inc, Manila, Philippines.
C3 University of Manchester; University of Manchester
RP Dodman, D (corresponding author), Int Inst Environm & Dev, Human Settlements & Climate Change Grp, 3 Endsleigh St, London WC1H 0DD, England.
EM david.dodman@iied.org; diana.miltin@manchester.ac.uk;
   kulitjulian@yahoo.co.uk
OI Mitlin, Diana/0000-0002-8811-6440; Dodman, David/0000-0002-1304-3283
CR Appadurai A, 2001, ENVIRON URBAN, V13, P23, DOI 10.1177/095624780101300203
   Appadurai Arjun., 2004, Culture and Public Action, P59
   AYERS J, 2008, DSA ANN C NOV 2008
   AYERS J, PROGR DEV S IN PRESS
   AYERS J, 2008, ENV MANAGEMENT   OCT
   DCRUZ C, 2005, 16 IIED
   DEAN M., 2010, GOVT POWER RULE MODE
   Dodman D., 2009, WORLDWATCH I STATE W, P75
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Dossou KMR, 2007, ENVIRON URBAN, V19, P65, DOI 10.1177/0956247807077149
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   HOUNSOME R, 2006, CLIMATIC FUTURE DURB
   KHAN F, 2006, VOICES PROTEST SOCIA
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   *NDCC, 2008, 33 NAT DIS COORD COU
   Patel S, 2002, ENVIRON URBAN, V14, P159, DOI 10.1177/095624780201400113
   PATEL S, 2002, COMMUNITY DEV J, V37, P125
   Satterthwaite D., 2007, HUMAN SETTLEMENTS DI
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   SWILLING M, 2008, CONSOLIDATING DEV LO, P501
   SWILLING M, 2007, BOWLING MAYOR UNPUB
   TEARFUND, 2008, COMMUNICATION   0602
   Weru J, 2004, ENVIRON URBAN, V16, P47, DOI 10.1177/095624780401600105
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   *WORLD BANK, 2009, NAT DIS RISK MAN PHI
   Yahya S., 2001, DOUBLE STANDARDS SIN
   YU S, 2002, DOCUMENTATION EXPERI
NR 29
TC 34
Z9 35
U1 0
U2 17
PU LIVERPOOL UNIV PRESS
PI LIVERPOOL
PA 4 CAMBRIDGE ST, LIVERPOOL L69 7ZU, ENGLAND
SN 1474-6743
EI 1478-3401
J9 INT DEV PLANN REV
JI Int. Dev. Plan. Rev.
PY 2010
VL 32
IS 1
BP 1
EP 26
DI 10.3828/idpr.2009.10
PG 26
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA 554PO
UT WOS:000274447100002
DA 2025-01-10
ER

PT J
AU Brown, K
   Schirmer, J
   Upton, P
AF Brown, Kimberly
   Schirmer, Jacki
   Upton, Penney
TI Can regenerative agriculture support successful adaptation to climate
   change and improved landscape health through building farmer
   self-efficacy and wellbeing?
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Regenerative agriculture; Land degradation; Self-efficacy; Subjective
   well-being; Farming; Adaption
ID MENTAL-HEALTH; LAND; DROUGHT; SUSTAINABILITY; RESILIENCE; DIMENSIONS;
   MANAGEMENT; ATTITUDES; HAPPINESS; CAPACITY
AB The growing movement of 'regenerative agriculture' (RA) claims to provide a way to adapt to a changing climate by regenerating landscapes while meeting the social and economic needs of farmers and their communities. Current research suggests that through the application of socio-ecological (SES) principles, RA can build a farmer's sense of their ability to successfully manage land for a range of outcomes and adapt to changes, also known as farming self-efficacy. Further, it is argued that by increasing farming self-efficacy, farmers experience improved wellbeing. Up until now, the role of farming self-efficacy as a potential wellbeing pathway has only been examined in the qualitative literature. We address this gap through a two-part exploratory study of Australian graziers. Firstly, we undertake an exploratory factor analysis (EFA) to identify a measure of RA principles. We then use this measure to examine whether farming self-efficacy mediates the effect engaging in RA has on three different measures of subjective wellbeing (hedonic wellbeing, eudaimonic wellbeing and evaluative wellbeing). Results of the EFA identified a two-factor structure of RA principles. These were labelled "holistic planning and monitoring" and "prioritising landscape regeneration". Only the latter was strongly associated with farming selfefficacy and wellbeing. Mediation was tested through three separate SEM analyses. Findings showed that the positive relationship between "prioritising landscape regeneration" and all subjective wellbeing measures were significantly mediated by farming self-efficacy. Our results are consistent with the hypothesis that regenerative agriculture may support long-term adaptation to climatic variability through building farming selfefficacy and wellbeing.
C1 [Brown, Kimberly; Upton, Penney] Univ Canberra, Univ Drive, Hlth Res Inst, Canberra, ACT 2601, Australia.
   [Schirmer, Jacki] Univ Canberra, Inst Governance & Policy Anal, Ctr Change Governance, Canberra, ACT 2601, Australia.
C3 University of Canberra; University of Canberra
RP Brown, K (corresponding author), Univ Canberra, Univ Drive, Hlth Res Inst, Canberra, ACT 2601, Australia.
EM kimberly.brown@canberra.edu.au; jacki.schirmer@canberra.edu.au;
   penney.upton@canberra.edu.au
RI Upton, Penney/M-1651-2015
OI Upton, Penney/0000-0002-6453-9510
FU University of Canberra; Victorian Department of Economic Development,
   Jobs, Training and Resources; New South Wales Department of Planning,
   Industry and Environment; Murray-Darling Basin Authority; Australian
   Department of Agriculture and Water Resources; Forest and Wood Products
   of Australia
FX This publication uses data from the Regional Wellbeing Survey (RWS),
   collected in 2016. The RWS was initiated and is managed by the
   University of Canberra and is funded by a number of organisations. These
   include (i) the University of Canberra, (ii) the Victorian Department of
   Economic Development, Jobs, Training and Resources, (iii) the New South
   Wales Department of Planning, Industry and Environment, (iv) the
   Murray-Darling Basin Authority, (v) the Australian Department of
   Agriculture and Water Resources, and (vi) Forest and Wood Products of
   Australia. The funders had no involvement in the study design; the
   collection, analysis and interpretation of data; writing of the report;
   or in the decision to submit an article for publication. The RWS was
   approved by the University of Canberra Human Research Ethics Committee,
   protocol number 12186
CR Abdel-Khalek AM, 2006, SOC BEHAV PERSONAL, V34, P139, DOI 10.2224/sbp.2006.34.2.139
   [Anonymous], 2013, Hows Life? 2013: Measuring Well-Being, DOI [10.1787/9789264201392-en, DOI 10.1787/9789264201392-EN]
   [Anonymous], 2008, Journal of Positive Psychology, DOI [DOI 10.1080/17439760802303044, 10.1080/17439760802303044]
   Arbuckle J., 2016, Amos 24 users guide
   Australian Bureau of Statistics, 2012, AUSTR SOC TRENDS
   Avey JB, 2011, HUM RESOUR DEV Q, V22, P127, DOI 10.1002/hrdq.20070
   Bandura A, 2001, ANNU REV PSYCHOL, V52, P1, DOI 10.1146/annurev.psych.52.1.1
   Bandura A., 2006, Self-efficacy beliefs of adolescents, P307
   Bandura A, 2012, J MANAGE, V38, P9, DOI 10.1177/0149206311410606
   Bandura A, 2011, REV PSICOL SOC, V26, P7, DOI 10.1174/021347411794078444
   Barr N., 2020, TRENDS AUSTR AGR WOR, DOI [10.25814/F8QC-DY41, DOI 10.25814/F8QC-DY41]
   Bartels AL, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0215957
   Baude M, 2019, SCI TOTAL ENVIRON, V659, P1526, DOI 10.1016/j.scitotenv.2018.12.455
   Bondy M, 2019, J RURAL COMMUNITY D, V14, P114
   Briske DD, 2011, RANGELAND ECOL MANAG, V64, P325, DOI 10.2111/REM-D-10-00084.1
   Brown G., 2018, Dirt to soil: one family's journey into regenerative agriculture
   Brown K, 2022, SOC NATUR RESOUR, V35, P1083, DOI 10.1080/08941920.2022.2058133
   Brown K, 2021, ENVIRON SUSTAIN IND, V11, DOI 10.1016/j.indic.2021.100132
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Burton RJF, 2004, SOCIOL RURALIS, V44, P195, DOI 10.1111/j.1467-9523.2004.00270.x
   Busseri MA, 2011, PERS SOC PSYCHOL REV, V15, P290, DOI 10.1177/1088868310391271
   Charatsari C, 2018, J AGRIC FOOD INF, V19, P66, DOI 10.1080/10496505.2017.1325742
   Chen FF, 2013, J HAPPINESS STUD, V14, P1033, DOI 10.1007/s10902-012-9367-x
   Collier J. E., 2020, Applied structural equation modeling using AMOS: Basic to advanced techniques, DOI 10.4324/9781003018414
   Cross R, 2017, SOC NATUR RESOUR, V30, P585, DOI 10.1080/08941920.2016.1230915
   Cummins RA, 2003, SOC INDIC RES, V64, P159, DOI 10.1023/A:1024704320683
   Das KV, 2020, PUBLIC HEALTH REV, V41, DOI 10.1186/s40985-020-00142-5
   De los Santos-Montero LA, 2020, ECOL ECON, V171, DOI 10.1016/j.ecolecon.2020.106605
   de Villiers AC, 2014, J ENVIRON MANAGE, V146, P276, DOI 10.1016/j.jenvman.2014.08.005
   Diener E, 2018, COLLABRA-PSYCHOL, V4, DOI 10.1525/collabra.115
   Diener E, 2009, S AFR J PSYCHOL, V39, P391, DOI 10.1177/008124630903900402
   Dolan P., 2011, MEASURING SUBJECTIVE
   Dong YR, 2013, SPRINGERPLUS, V2, DOI 10.1186/2193-1801-2-222
   Drysdale D, 2017, RURAL EXT INNOV SYST, V13, P86
   Dubey PK, 2021, CURR RES ENVIRON SUS, V3, DOI 10.1016/j.crsust.2021.100041
   Ellis NR, 2017, SOC SCI MED, V175, P161, DOI 10.1016/j.socscimed.2017.01.009
   Emtage N., 2006, Australasian Journal of Environmental Management, V13, P79
   Fan Yi, 2016, Ecological Processes, V5, P19
   Fenster Tommy L D, 2021, F1000Res, V10, P115, DOI 10.12688/f1000research.28450.1
   Field A., 2013, DISCOVERING STAT USI, V4th ed.
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Gaskin CJ, 2014, INT J NURS STUD, V51, P511, DOI 10.1016/j.ijnurstu.2013.10.005
   Gebrehiwot T, 2015, ENVIRON MANAGE, V55, P588, DOI 10.1007/s00267-014-0415-7
   Giller KE, 2021, OUTLOOK AGR, V50, P13, DOI 10.1177/0030727021998063
   Gordon E, 2022, AGR HUM VALUES, V39, P809, DOI 10.1007/s10460-021-10276-0
   Gosnell H, 2022, SUSTAIN SCI, V17, P603, DOI 10.1007/s11625-021-00993-0
   Gosnell H, 2020, AGR HUM VALUES, V37, P849, DOI 10.1007/s10460-020-10016-w
   Gosnell H, 2020, INTERFACE FOCUS, V10, DOI 10.1098/rsfs.2020.0027
   Gosnell H, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101965
   Hanigan IC, 2018, ECOHEALTH, V15, P642, DOI 10.1007/s10393-018-1339-0
   Harpe SE, 2015, CURR PHARM TEACH LEA, V7, P836, DOI 10.1016/j.cptl.2015.08.001
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Hobfoll S. E., 2000, HDB ORG BEHAV, P57, DOI [10.1002/9781118785317.weom060033, DOI 10.1002/9781118785317.WEOM060033]
   Hobfoll SE, 2002, REV GEN PSYCHOL, V6, P307, DOI 10.1037//1089-2680.6.4.307
   Hodbod J, 2016, J ENVIRON MANAGE, V183, P379, DOI 10.1016/j.jenvman.2016.05.064
   Hounsome B, 2006, AGR SYST, V91, P229, DOI 10.1016/j.agsy.2006.09.001
   Hruska T, 2017, SPRINGER SER ENV MAN, P263, DOI 10.1007/978-3-319-46709-2_8
   Hunt W, 2011, RURAL SOC, V20, P112, DOI 10.5172/rsj.20.2.112
   Ikerd J, 2021, J AGRIC FOOD SYST CO, V10, P7, DOI 10.5304/jafscd.2021.102.001
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   Jones C., 2003, Recognise relate innovate
   Kahneman D, 2004, SCIENCE, V306, P1776, DOI 10.1126/science.1103572
   Kaiser T, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238992
   Kapteyn A, 2015, SOC INDIC RES, V123, P625, DOI 10.1007/s11205-014-0753-0
   Keshavarz M, 2016, J ARID ENVIRON, V127, P128, DOI 10.1016/j.jaridenv.2015.11.010
   Keyes CLM, 2006, SOC INDIC RES, V77, P1, DOI 10.1007/s11205-005-5550-3
   Kolstrup CL, 2013, J AGROMEDICINE, V18, P244, DOI 10.1080/1059924X.2013.796903
   LaCanne CE, 2018, PEERJ, V6, DOI 10.7717/peerj.4428
   Lamb WF, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.485
   LaMontagne AD, 2014, BMC PSYCHIATRY, V14, DOI 10.1186/1471-244X-14-131
   Ländesmäki M, 2019, J RURAL STUD, V65, P152, DOI 10.1016/j.jrurstud.2018.10.008
   Lazarus R., 1984, Stress, appraisal, and coping
   Luszczynska A, 2005, J PSYCHOL, V139, P439, DOI 10.3200/JRLP.139.5.439-457
   Maddux J.E., 1995, SELF EFFICACY ADAPTA, P37, DOI DOI 10.1007/978-1-4419-6868-5_2
   Maia AG, 2018, ECOL ECON, V152, P27, DOI 10.1016/j.ecolecon.2018.05.013
   Mann C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061848
   Massy C., 2013, TRANSFORMING EARTH S
   Massy C., 2017, Call of the reed warbler: A new agriculture-A new earth
   Massy C., 2022, 2022 FENN C MAK AUST
   Massy C, 2020, AGR HUM VALUES, V37, P551, DOI 10.1007/s10460-020-10080-2
   McCarthy M., 2020, GROWING OUR FUTURE S
   McGinty MM, 2008, AGROFOREST SYST, V73, P99, DOI 10.1007/s10457-008-9114-9
   McLachlan SM, 2009, MITIG ADAPT STRAT GL, V14, P299, DOI 10.1007/s11027-008-9165-2
   McShane CJ, 2016, AUST J RURAL HEALTH, V24, P238, DOI 10.1111/ajr.12261
   Nathan L.S., 2016, WILEY BLACKWELL HDB, P527
   Newton P, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.577723
   Ngamaba KH, 2017, EUR J PUBLIC HEALTH, V27, P879, DOI 10.1093/eurpub/ckx081
   Norman G, 2010, ADV HEALTH SCI EDUC, V15, P625, DOI 10.1007/s10459-010-9222-y
   O'Brien RM, 2007, QUAL QUANT, V41, P673, DOI 10.1007/s11135-006-9018-6
   Oates J, 2017, INT J MENT HEALTH NU, V26, P391, DOI 10.1111/inm.12263
   OBrien LV, 2014, ENVIRON RES, V131, P181, DOI 10.1016/j.envres.2014.03.014
   OBrien LV, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-976
   Osborne J. W., 2014, Best Practices in Exploratory Factor Analysis
   Patz J., 2012, HUMAN HLTH RIO CONVE, DOI [10.1177/095624789200400107, DOI 10.1177/095624789200400107]
   Peel D, 2019, RURAL SOC, V28, P108, DOI 10.1080/10371656.2019.1645426
   Peng L, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101895
   Perry V, 2020, J SOIL WATER CONSERV, V75, P198, DOI 10.2489/jswc.75.2.198
   Preacher K.J., 2003, Understanding Statistics, V2, P13, DOI DOI 10.1207/S15328031US020102
   Pretty Jules., 1995, REGENERATING AGR POL
   Price JC, 2014, J RURAL STUD, V34, P65, DOI 10.1016/j.jrurstud.2013.10.001
   Rice S P. M., 2020, Journal of Well-Being Assessment, V1, DOI DOI 10.1007/S41543-020-00025-1
   Richardson M., 2021, International Journal of Wellbeing, V11, P8, DOI DOI 10.5502/IJW.V11I1.1267
   Rodale Institute, 2014, REG ORG AGR CLIM CHA
   RODALE R, 1983, FUTURIST, V17, P15
   Ryan RM, 2001, ANNU REV PSYCHOL, V52, P141, DOI 10.1146/annurev.psych.52.1.141
   Ryff CD, 2014, PSYCHOTHER PSYCHOSOM, V83, P10, DOI 10.1159/000353263
   Salanova M, 2011, APPL PSYCHOL-INT REV, V60, P255, DOI 10.1111/j.1464-0597.2010.00435.x
   Saxby H, 2018, SOCIOL RURALIS, V58, P392, DOI 10.1111/soru.12180
   Schirmer J., 2016, WELLBEING RESILIENCE
   Schirmer J, 2013, HEALTH PLACE, V24, P97, DOI 10.1016/j.healthplace.2013.08.007
   Schreefel L, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100404
   Sherren K, 2012, AGR SYST, V106, P72, DOI 10.1016/j.agsy.2011.11.001
   Smith P, 2013, GLOB FOOD SECUR-AGR, V2, P18, DOI 10.1016/j.gfs.2012.11.008
   Soloviev E.R., 2016, Levels of regenerative agriculture
   Soysa CK, 2015, MINDFULNESS, V6, P217, DOI 10.1007/s12671-013-0247-1
   Speldewinde PC, 2009, HEALTH PLACE, V15, P880, DOI 10.1016/j.healthplace.2009.02.011
   Stain HJ, 2011, SOC SCI MED, V73, P1593, DOI 10.1016/j.socscimed.2011.09.016
   Strong G, 2008, BIODIVERSITY: INTEGRATING CONSERVATION AND PRODUCTION, P75
   Thackway R, 2018, LAND USE IN AUSTRALIA: PAST, PRESENT AND FUTURE, P263
   The International Well Being Group, 2013, PERS WELLB IND, V5th
   Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014
   Tourangeau R, 2006, PSYCHOL SURVEY RESPO, V6th
   Tourangeau W, 2020, J RURAL STUD, V74, P22, DOI 10.1016/j.jrurstud.2019.11.008
   Truchot D, 2018, SOC PSYCH PSYCH EPID, V53, P859, DOI 10.1007/s00127-018-1528-8
   van den Berg L, 2018, J RURAL STUD, V61, P314, DOI 10.1016/j.jrurstud.2018.01.008
   VanderWeele TJ, 2020, PREV MED, V133, DOI 10.1016/j.ypmed.2020.106004
   VanderWeele TJ, 2017, P NATL ACAD SCI USA, V114, P8148, DOI 10.1073/pnas.1702996114
   Wall E, 2005, J SUSTAIN AGR, V27, P113, DOI 10.1300/J064v27n01_07
   Wheeler SA, 2018, J RURAL STUD, V62, P183, DOI 10.1016/j.jrurstud.2018.08.006
   White C, 2020, AM J ECON SOCIOL, V79, P799, DOI 10.1111/ajes.12334
   Yasué M, 2020, CONSERV SOC, V18, P268, DOI 10.4103/cs.cs_19_81
   Yazd SD, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16234849
   Zeweld W, 2017, J ENVIRON MANAGE, V187, P71, DOI 10.1016/j.jenvman.2016.11.014
NR 133
TC 7
Z9 8
U1 7
U2 33
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-0490
J9 CURR RES ENVIRON SUS
JI Curr. Res. Environmental Sustainability
PY 2022
VL 4
AR 100170
DI 10.1016/j.crsust.2022.100170
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA M5JR1
UT WOS:001030582800005
OA gold
DA 2025-01-10
ER

PT J
AU Li, YZ
   Sun, M
   Yang, XY
   Yang, ML
   Kleisner, KM
   Mills, KE
   Tang, Y
   Du, FY
   Qiu, YS
   Ren, YP
   Chen, Y
AF Li, Yunzhou
   Sun, Ming
   Yang, Xiangyan
   Yang, Molin
   Kleisner, Kristin M.
   Mills, Katherine E.
   Tang, Yi
   Du, Feiyan
   Qiu, Yongsong
   Ren, Yiping
   Chen, Yong
TI Social-ecological vulnerability and risk of China's marine capture
   fisheries to climate change
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE climate change; Chinese fisheries; fisheries adaptation; resilience;
   social-ecological systems
ID LARGE YELLOW CROAKER; LARIMICHTHYS-CROCEA; STOCK ENHANCEMENT; SAND
   LANCE; IMPACTS; SEAS; VARIABILITY; ECOSYSTEMS; MANAGEMENT; RESPONSES
AB Climate change is a new disrupter to global fisheries systems and their governance frameworks. It poses a pressing management challenge, particularly in China, which is renowned as the world's largest fishing country and seafood producer. As climate change continues to intensify in the region and climate awareness grows within the country's national policy, the need to understand China's fisheries' resilience to the escalating climate crisis becomes paramount. In this study, we conduct an interdisciplinary analysis to assess the vulnerability and risk of China's marine capture fisheries in response to climate change. This study employs a spatially explicit, indicator -based approach with a coupled social-ecological framework, focusing on 67 species and 11 coastal regions. By integrating diverse sets of climatic, ecological, economic, societal, and governance indicators and information, we elucidate the factors that could hinder climate adaptation, including a limited understanding of fish early life stages, uncertainty in seafood production, unequal allocation and accessibility of resources, and inadequate consideration of inclusive governance and adaptive management. Our results show that species, which have managed to survive the stress of overfishing, demonstrate a remarkable ability to adapt to climate change. However, collapsing stocks such as large yellow croaker face a high risk due to the synergistic effects of inherent biological traits and external management interventions. We emphasize the imperative to build institutional, scientific, and social capacity to support fisheries adaptation. The scientific insights provided by this study can inform fisheries management decisions and promote the operationalization of climate- resilient fisheries in China and other regions. Significance Climate change is a mounting threat to China's marine fisheries, which account for nearly one -sixth of the world's catch but face declines in fish stock abundance and complex management issues. In this interdisciplinary assessment of climate risk, we find intense fishing and other pressures over decades have selected for more climate resilient fishery species. However, less adaptive species- critical both socially and ecologically within China and beyond-are at risk. By linking ecological vulnerabilities to anthropogenic pressures, we reveal regional disparities in social vulnerability and common adaptation challenges across the country. Our study demonstrates the key ecological, social, and governance factors driving climate vulnerability and offers lessons that can help other regions identify targeted adaptation solutions to enhance fisheries resilience.
C1 [Li, Yunzhou; Sun, Ming; Yang, Xiangyan; Yang, Molin; Chen, Yong] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.
   [Li, Yunzhou; Sun, Ming; Yang, Xiangyan; Chen, Yong] SUNY Stony Brook, Inst Adv Computat Sci, Stony Brook, NY 11794 USA.
   [Kleisner, Kristin M.] Environm Def Fund, Boston, MA 02108 USA.
   [Mills, Katherine E.] Gulf Maine Res Inst, Portland, ME 04101 USA.
   [Tang, Yi] Shanghai Ocean Univ, Coll Marine Culture & Law, Shanghai 201306, Peoples R China.
   [Du, Feiyan; Qiu, Yongsong] Chinese Acad Fisheries Sci, South China Sea Fisheries Res Inst, Guangzhou 510301, Peoples R China.
   [Ren, Yiping] Ocean Univ China, Coll Fisheries, Qingdao 266003, Peoples R China.
C3 State University of New York (SUNY) System; Stony Brook University;
   State University of New York (SUNY) System; Stony Brook University;
   Environmental Defense Fund; Gulf of Maine Research Institute; Shanghai
   Ocean University; Chinese Academy of Fishery Sciences; South China Sea
   Fisheries Research Institute, CAFS; Ocean University of China
RP Li, YZ (corresponding author), SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.; Li, YZ (corresponding author), SUNY Stony Brook, Inst Adv Computat Sci, Stony Brook, NY 11794 USA.
EM yunzhou.li@stonybrook.edu
RI Li, Yunzhou/HDM-3957-2022; Hertwig, Ralph/B-3468-2015; Siew,
   Cynthia/J-9954-2019; chen, yuying/JNS-9778-2023; Sun,
   Ming/AAX-2178-2020; Li, Ying/ABS-0239-2022
OI Hertwig, Ralph/0000-0002-9908-9556; Yang, Xiangyan/0009-0001-1245-6051;
   Hills, Thomas/0000-0003-3842-2076; Sun, Ming/0000-0001-5775-5904; Li,
   Ying/0000-0003-0678-9535; Lin, Ziyong/0000-0003-4607-8172; Qiu,
   Yongsong/0000-0001-6789-2240; Li, Yunzhou/0000-0002-0976-5582
FU Lenfest Ocean Program; Society of Entrepreneurs and Ecology Foundation
FX We greatly appreciate the funding and support of the Lenfest Ocean
   Program. We would like to thank Dr. Jason Link (National Oceanic and
   Atmospheric Administration Fisheries) for providing valuable feedback on
   the project. Many thanks to the Society of Entrepreneurs and Ecology
   Foundation and Xiaoshu Lin (Yale University) for sharing information and
   reports for the analysis. We also thank three anonymous reviewers for
   their expertise and thoughtful insights that greatly improved the
   manuscript.
CR Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Baker MR, 2019, MAR ECOL PROG SER, V617, P221, DOI 10.3354/meps12897
   Bartley DM, 2008, REV FISH SCI, V16, P357, DOI 10.1080/10641260701678058
   Blomeyer R., 2012, Policy Department B: Structural and Cohesion Policies
   Bohorquez JJ, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abj1569
   Bueno-Pardo J, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82595-5
   Cai RS, 2016, INT J CLIMATOL, V36, P3770, DOI 10.1002/joc.4591
   Cao L, 2017, P NATL ACAD SCI USA, V114, P435, DOI 10.1073/pnas.1616583114
   Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149
   Chen Chang-hai, 2004, Journal of Fisheries of China, V28, P603
   Cline TJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14042
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Crona B, 2020, ONE EARTH, V3, P32, DOI 10.1016/j.oneear.2020.06.013
   Deutsch C, 2015, SCIENCE, V348, P1132, DOI 10.1126/science.aaa1605
   Dineshbabu AP, 2019, CLIM RES, V79, P175, DOI 10.3354/cr01586
   Ding Q, 2023, MAR POLICY, V147, DOI 10.1016/j.marpol.2022.105390
   Fabinyi M, 2014, OCEAN COAST MANAGE, V96, P198, DOI 10.1016/j.ocecoaman.2014.03.022
   FAO, 2022, The State of World Fisheries and Aquaculture 2022. Towards Blue Transformation, P26
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Gianelli I, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02049-8
   Goldstein LJ, 2013, MAR POLICY, V40, P187, DOI 10.1016/j.marpol.2012.12.007
   Grant WS, 2017, REV FISH BIOL FISHER, V27, P615, DOI 10.1007/s11160-017-9489-7
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Holsman KK, 2019, ICES J MAR SCI, V76, P1368, DOI 10.1093/icesjms/fsz031
   Hu WJ, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108489
   Hughes S, 2012, ENVIRON SCI POLICY, V23, P95, DOI 10.1016/j.envsci.2012.07.012
   Hughes TP, 2013, CONSERV BIOL, V27, P261, DOI 10.1111/j.1523-1739.2012.01957.x
   Jiao NZ, 2015, ADV CLIM CHANG RES, V6, P118, DOI 10.1016/j.accre.2015.09.010
   Jin XS, 2013, SCI CHINA EARTH SCI, V56, P366, DOI 10.1007/s11430-012-4528-7
   Kang B, 2021, REV FISH BIOL FISHER, V31, P599, DOI 10.1007/s11160-021-09668-6
   Kaschner K., 2016, AQUAMAPS PREDICTED R
   Kim JK, 2015, BIOCHEM SYST ECOL, V61, P319, DOI 10.1016/j.bse.2015.06.038
   Kritzer Jacob P., 2023, Aquaculture and Fisheries, V8, P351, DOI 10.1016/j.aaf.2021.11.004
   Li YZ, 2023, GLOBAL CHANGE BIOL, V29, P3545, DOI 10.1111/gcb.16733
   Li YZ, 2019, AQUAT CONSERV, V29, P952, DOI 10.1002/aqc.3076
   Liang C, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173296
   Lin C, 2005, J MARINE SYST, V55, P223, DOI 10.1016/j.jmarsys.2004.08.001
   Lindegren M, 2018, REV FISH SCI AQUAC, V26, P400, DOI 10.1080/23308249.2018.1445980
   Link J. S., 2015, NOAA Tech. Memo. NMFSF/ SPO- 155 70
   Liu M, 2008, FISH FISH, V9, P219, DOI 10.1111/j.1467-2979.2008.00278.x
   Lucey S. M., 2023, State of the Ecosystem New England, DOI [10.25923/9sb9-nj66, DOI 10.25923/9SB9-NJ66]
   Ma SY, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159325
   Ma SY, 2019, DEEP-SEA RES PT II, V159, P112, DOI 10.1016/j.dsr2.2018.10.005
   MARA (Ministry of Agriculture and Rural Affairs), 2021, Notice on Implementing Fishing Industry Development Support Policies to Promote HighQuality Development of the Fishing Industry
   MARA (Ministry of Agriculture and Rural Affairs), 2021, Notice from the Ministry of Agriculture and Rural Affairs on the issuance of the "14th FiveYear Plan"for the National Fisheries Development
   Marshall KN, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12367
   Marshall N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   Mason JG, 2022, FISH FISH, V23, P522, DOI 10.1111/faf.12630
   Maxwell SM, 2020, SCIENCE, V367, P252, DOI 10.1126/science.aaz9327
   Mendenhall E, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2020.103954
   Metcalf SJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07509-200235
   Mohsin M, 2022, PAK J ZOOL, V54, P1269, DOI 10.17582/journal.pjz/20210819040806
   Morrison W. E., 2015, US DEP COMMERCE NOAA, P48, DOI [10.7289/V54X55TC, DOI 10.7289/V54X55TC]
   NRDC (Natural Resources Defense Council) EDF (Environmental Defense Fund) QMCS (Qingdao Marine Conservation Society), 2021, Progress of China's TAC system: Evaluation report for Zhejiang and Fujian pilots
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Pang YM, 2018, FISH RES, V208, P22, DOI 10.1016/j.fishres.2018.07.004
   Pankhurst NW, 2011, MAR FRESHWATER RES, V62, P1015, DOI 10.1071/MF10269
   Parry M., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel On Climate Change
   Payne MR, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018086118
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Pörtner HO, 2023, SCIENCE, V380, DOI 10.1126/science.abl4881
   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]
   Reisinger A., 2020, The Concept of Risk in the IPCC Sixth Assessment Report: A Summary of Cross-Working Group Discussions
   Ricard D, 2012, FISH FISH, V13, P380, DOI 10.1111/j.1467-2979.2011.00435.x
   Shen GM, 2014, MAR POLICY, V44, P265, DOI 10.1016/j.marpol.2013.09.012
   Spalding MD, 2007, BIOSCIENCE, V57, P573, DOI 10.1641/B570707
   Su S, 2020, FISH FISH, V21, P435, DOI 10.1111/faf.12439
   Sun M, 2023, FISH FISH, V24, P142, DOI 10.1111/faf.12715
   Sun Y, 2010, DEEP-SEA RES PT II, V57, P1001, DOI 10.1016/j.dsr2.2010.02.011
   Szuwalski CS, 2017, P NATL ACAD SCI USA, V114, P717, DOI 10.1073/pnas.1612722114
   Tang Q., 2009, Sustaining the World's Large Marine Ecosystems
   Tigchelaar M, 2021, NAT FOOD, V2, P673, DOI 10.1038/s43016-021-00368-9
   Wang L, 2012, INT J MOL SCI, V13, P5584, DOI 10.3390/ijms13055584
   Watson R, 2001, NATURE, V414, P534, DOI 10.1038/35107050
   Wu XW, 2011, AFR J BIOTECHNOL, V10, P5773
   Yuan JG, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.743836
   Zhang H, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-54861-0
   Zhu WB, 2021, MAR POLICY, V129, DOI 10.1016/j.marpol.2021.104503
NR 79
TC 4
Z9 4
U1 21
U2 49
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 2
PY 2024
VL 121
IS 1
AR e2313773120
DI 10.1073/pnas.2313773120
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA NL6L7
UT WOS:001200648000006
PM 38150495
OA Green Published
DA 2025-01-10
ER

PT J
AU Mallen, C
   Dingle, G
AF Mallen, Cheryl
   Dingle, Greg
TI Organizing Sport for Climate Related Adaptations: Lessons from the Water
   and Forestry Industries
SO SUSTAINABILITY
LA English
DT Article
DE sport; climatic adaptations; insights for adapting to climatic impacts
ID FIFA WORLD CUP; CHANGE IMPACTS; MANAGEMENT
AB Sporting societies around the world are being impacted by a variety of contemporary climatic challenges. The sport management literature indicates that these impacts have disrupted sport. Some adaptations have been implemented, but a comprehensive planning framework is absent from the literature. Learning from other industries, thus, was considered, and an examination of the literature from the water and forestry industries was conducted. The examination resulted in the discovery of six key themes offering insights or practical lessons to guide sport organizations in their efforts to organize for adapting to climatic impacts.
C1 [Mallen, Cheryl] Brock Univ, Dept Sport Management, St Catharines, ON L2S 3A1, Canada.
   [Dingle, Greg] La Trobe Univ, Dept Management Sport & Tourism, Melbourne, Vic 3086, Australia.
C3 Brock University; La Trobe University
RP Mallen, C (corresponding author), Brock Univ, Dept Sport Management, St Catharines, ON L2S 3A1, Canada.
EM cmallen@brocku.ca; g.dingle@latrobe.edu.au
RI Dingle, Greg/L-2186-2013
OI Mallen, Cheryl/0000-0002-5330-5858; Dingle, Greg/0000-0003-0931-6303
CR Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Brown C., 2012, EOS T AM GEOPHYS UN, V93, P401, DOI DOI 10.1029/2012EO410001
   Brunette M, 2018, FORESTS, V9, DOI 10.3390/f9010020
   Carr G, 2018, RES POLICY, V47, P35, DOI 10.1016/j.respol.2017.09.010
   Chalmers S, 2018, J SCI MED SPORT, V21, P544, DOI 10.1016/j.jsams.2018.01.003
   Christensen J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094723
   Dawson J, 2013, TOURISM MANAGE, V35, P244, DOI 10.1016/j.tourman.2012.07.009
   De Zoysa M., 2014, Open J., V04, P439, DOI [10.4236/ojf.2014.45049, DOI 10.4236/OJF.2014.45049]
   Dedeurwaerdere T., 2009, Small-scale Forestry, V8, P193, DOI 10.1007/s11842-009-9075-5
   Dingle G, 2021, MANAG SPORT LEIS, V26, P301, DOI 10.1080/23750472.2020.1766375
   Dingle GW, 2018, MANAG SPORT LEIS, V23, P293, DOI 10.1080/23750472.2018.1527715
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Fairley S, 2015, SPORT MANAG REV, V18, P618, DOI 10.1016/j.smr.2015.03.001
   Falk M, 2017, CLIMATIC CHANGE, V143, P59, DOI 10.1007/s10584-017-1992-2
   Feldman D. L., 2013, Journal of Water Resource and Protection, V5, P1
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Gibbs GR, 2007, Analyzing qualitative data, V703, P38, DOI DOI 10.4135/9781849208574
   Glesne C., 2014, BECOMING QUALITATIVE, V5th
   Guyennon N, 2017, WATER-SUI, V9, DOI 10.3390/w9090689
   Honjo T, 2018, INT J BIOMETEOROL, V62, P1407, DOI 10.1007/s00484-018-1539-x
   Kale G. D., 2013, Journal of Water Resource and Protection, V5, P1210
   Kaushal SS, 2017, WATER-SUI, V9, DOI 10.3390/w9100815
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Landauer M, 2009, FENNIA, V187, P99
   Liu CY, 2017, WATER-SUI, V9, DOI 10.3390/w9120988
   Maiolo M, 2017, WATER-SUI, V9, DOI 10.3390/w9100803
   Mallen C., 2017, International Journal of Sustainable Built Environment, V13, P45, DOI [DOI 10.18848/2325-1077/CGP/V13I02/45-59, https://doi.org/10.18848/2325-1077/CGP/v13i02/45-59]
   Masson-Delmotte V., 2021, PHYS SCI BASIS CONTR
   Matzarakis A, 2015, INT J BIOMETEOROL, V59, P481, DOI 10.1007/s00484-014-0886-5
   McFadgen B, 2017, WATER-SUI, V9, DOI 10.3390/w9090648
   McInnes K., 2010, P INT S COAST ZON CL
   Medema W, 2017, WATER-SUI, V9, DOI 10.3390/w9010060
   Miles M. B., 2014, Qualitative Data Analysis: A Methods Sourcebook, V4th
   Murthy I. K., 2019, Open Journal of Forestry, V9, P226
   Nybo L, 2021, BRIT J SPORT MED, V55, DOI 10.1136/bjsports-2020-102193
   Ontl TA, 2020, J FOREST, V118, P86, DOI 10.1093/jofore/fvz062
   Orr M, 2019, SPORT MANAG REV, V22, P452, DOI 10.1016/j.smr.2018.09.007
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Sandelowski M., 1992, Qualitative Methods in Family Research, P301
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Scott D, 2015, CURR ISSUES TOUR, V18, P913, DOI 10.1080/13683500.2014.887664
   Scott D., 2015, CURR ISSUES TOUR, V276, P52, DOI DOI 10.1080/13683500.2014.887664
   Scott D, 2007, CAN GEOGR-GEOGR CAN, V51, P219, DOI 10.1111/j.1541-0064.2007.00175.x
   Scott D, 2006, J LEISURE RES, V38, P363, DOI 10.1080/00222216.2006.11950083
   Sofotasiou P, 2015, SUSTAIN CITIES SOC, V14, P16, DOI 10.1016/j.scs.2014.07.007
   Stosch KC, 2017, WATER-SUI, V9, DOI 10.3390/w9090677
   Tójar-Hurtado JC, 2017, WATER-SUI, V9, DOI 10.3390/w9120964
   Vanos JK, 2019, SCI TOTAL ENVIRON, V657, P904, DOI 10.1016/j.scitotenv.2018.11.447
   Visser H, 2009, CLIMATIC CHANGE, V93, P39, DOI 10.1007/s10584-008-9498-6
   Vulturius G, 2020, J ENVIRON PLANN MAN, V63, P1177, DOI 10.1080/09640568.2019.1646228
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Yapiyev V, 2017, WATER-SUI, V9, DOI 10.3390/w9100798
NR 52
TC 2
Z9 3
U1 3
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2021
VL 13
IS 18
AR 10462
DI 10.3390/su131810462
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UZ2VX
UT WOS:000702069100001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ramírez-Builes, VH
   Kusters, J
AF Ramirez-Builes, Victor Hugo
   Kusters, Jurgen
TI Calcium and Potassium Nutrition Increases the Water Use Efficiency in
   Coffee: A Promising Strategy to Adapt to Climate Change
SO HYDROLOGY
LA English
DT Article
DE climate variability; climate change; WUE; calcium; potassium
ID ARABICA; YIELD
AB Coffee (Coffea spp.) represents one of the most important sources of income and goods for the agricultural sector in Central America, Colombia, and the Caribbean region. The sustainability of coffee production at the global and regional scale is under threat by climate change, with a major risk of losing near to 50% of today's suitable area for coffee by 2050. Rain-fed coffee production dominates in the region, and under increasing climate variability and climate change impacts, these production areas are under threat due to air temperature increase and changes in rainfall patterns and volumes. Identification, evaluation, and implementation of adaptation strategies for growers to cope with climate variability and change impacts are relevant and high priority. Incremental adaptation strategies, including proper soil and water management, contribute to improved water use efficiency (WUE) and should be the first line of action to adapt the coffee crop to the changing growing conditions. This research's objective was to evaluate at field level over five years the influence of fertilization with calcium (Ca+2) and potassium (K+) on WUE in two coffee arabica varieties: cv. Castillo and cv. Caturra. Castillo has resistance against coffee leaf rust (CLR) (Hemileia vastatrix Verkeley and Brome), while Caturra is not CLR-resistant. WUE was influenced by yield changes during the years by climate variability due to El Nino-ENSO conditions and CLR incidence. Application of Ca+2 and K+ improved the WUE under such variable conditions. The highest WUE values were obtained with an application of 100 kg CaO ha(-1) year(-1) and between 180 to 230 kg K2O ha(-1) year(-1). The results indicate that adequate nutrition with Ca+2 and K+ can improve WUE in the long-term, even underwater deficit conditions and after the substantial incidence. Hence, an optimum application of Ca+2 and K+ in rain-fed coffee plantations can be regarded as an effective strategy to adapt to climate variability and climate change.
C1 [Ramirez-Builes, Victor Hugo; Kusters, Jurgen] Ctr Plant Nutr & Environm Res Hanninghof, D-48249 Yara Int, Dulmen, Germany.
RP Ramírez-Builes, VH (corresponding author), Ctr Plant Nutr & Environm Res Hanninghof, D-48249 Yara Int, Dulmen, Germany.
EM victor.ramirez@yara.com; juergen.kuesters@yara.com
RI Ramirez Builes, Victor Hugo/HKE-7910-2023
OI RAMIREZ BUILES, VICTOR HUGO/0000-0003-2080-5386
FU Yara International
FX The authors declare that this research received funding from Yara
   International. The funder was not involved in the study design,
   collection, analysis, interpretation of the data, the writing of this
   article or the decision to submit it for publication.
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Alvarado-Alvarado G., 2005, Av Tec Cenicafe, V337, P1
   Arcila P.J., 2003, AV TEC CENICAFE, V397, P1
   Arcila-Pulgarín J, 2002, ANN APPL BIOL, V141, P19, DOI 10.1111/j.1744-7348.2002.tb00191.x
   Bergmann W., 1992, Colour atlas nutritional disorders of plants: visual and analytical diagnosis
   Bunn C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140490
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Cerda R, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169133
   CRISOSTO CH, 1992, TREE PHYSIOL, V10, P127, DOI 10.1093/treephys/10.2.127
   Mancuso MAC, 2014, REV BRAS CIENC SOLO, V38, P1448, DOI 10.1590/S0100-06832014000500010
   da Silva A.L., 2005, THESIS U SAO PABLO E
   DaMatta Fábio M., 2007, Braz. J. Plant Physiol., V19, P485, DOI 10.1590/S1677-04202007000400014
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   Gonzalez O.H., 2008, Representative Soil Units of the Colombian Coffee Zone
   Grzebisz W, 2013, J PLANT NUTR SOIL SC, V176, P355, DOI 10.1002/jpln.201200287
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Howell TA, 2001, AGRON J, V93, P281, DOI 10.2134/agronj2001.932281x
   Ramírez Víctor Hugo, 2011, Agron. colomb., V29, P107
   Jaramillo R.A., 2018, CLIMATE COFFEE REGIO
   Jaramillo-Robledo A., 1999, Cenicafe, V50, P97
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Läderach P, 2017, CLIMATIC CHANGE, V141, P47, DOI 10.1007/s10584-016-1788-9
   Laviola BG, 2007, REV BRAS CIENC SOLO, V31, P319, DOI 10.1590/S0100-06832007000200014
   Liu JG, 2007, AGR SYST, V94, P478, DOI 10.1016/j.agsy.2006.11.019
   National Oceanic and Atmospheric Administration-NOAA/National Weather Service/Climate Prediction Center, ONI Data Base
   Ovalle-Rivera O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124155
   Pagotto R.C., 2020, REV CAATINGA, V33, P195, DOI [10.1590/1983-21252020v33n121rc, DOI 10.1590/1983-21252020V33N121RC]
   Pena Q.A.J., 2012, AV TEC CENICAFE, V415, P1
   Pham Y, 2019, CLIMATIC CHANGE, V156, P609, DOI 10.1007/s10584-019-02538-y
   Ramirez B.V.H., 2014, TEC CENICAFE, V449
   Ramirez B.V.H., 2013, MANUAL CAFETERO COLO, V205, P237
   Ramirez B.V.H., 2007, INVES UNISARC B, V5, P19
   Ramirez B.V.H., 2012, CENICAFE, V63, P90
   Ramirez B.V.H., 2010, Cenicaf, V61, P251
   Ramirez Builes V., 2009, Cenicafe, V60, P161
   Ramirez F., 2002, Agronomia Costarricense, V26, P33
   Ramírez-Builes VH, 2020, FRONT AGRON, V2, DOI 10.3389/fagro.2020.590892
   Ritchie JT, 2008, EUR J AGRON, V28, P273, DOI 10.1016/j.eja.2007.08.003
   Ruane AC, 2018, AGR FOREST METEOROL, V259, P329, DOI 10.1016/j.agrformet.2018.05.013
   Sadeghian K.S., 2020, CENICAF, V71, P21, DOI [10.38141/10778/1117, DOI 10.38141/10778/1117]
   Salamanca-Jimenez A, 2017, J PLANT NUTR SOIL SC, V180, P614, DOI 10.1002/jpln.201600601
   Sousa JS, 2018, REV BRAS CIENC SOLO, V42, DOI 10.1590/18069657rbcs20170109
   Tol RSJ, 2021, ANN NY ACAD SCI, V1504, P63, DOI 10.1111/nyas.14497
   Trenberth KE, 1997, B AM METEOROL SOC, V78, P2771, DOI 10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2
   Verburg R, 2019, ENVIRON SCI POLICY, V97, P16, DOI 10.1016/j.envsci.2019.03.017
   VIETS FRANK G., 1962, ADVANCES AGRON, V14, P223, DOI 10.1016/S0065-2113(08)60439-3
   Waraich EA, 2011, ACTA AGR SCAND B-S P, V61, P291, DOI 10.1080/09064710.2010.491954
   White PJ, 2003, ANN BOT-LONDON, V92, P487, DOI 10.1093/aob/mcg164
   Wood S., 2000, Pilot analysis of global ecosystems: agroecosystems, P45
NR 49
TC 6
Z9 6
U1 0
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2306-5338
J9 HYDROLOGY-BASEL
JI Hydrology
PD JUN
PY 2021
VL 8
IS 2
AR 75
DI 10.3390/hydrology8020075
PG 11
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA SX3SL
UT WOS:000665128300001
OA gold
DA 2025-01-10
ER

PT J
AU Sethamo, OA
   Karlsson-Vinkhuyzen, S
   Harder, MK
AF Sethamo, Obakeng A.
   Karlsson-Vinkhuyzen, Sylvia
   Harder, Marie K.
TI Role clarification for local institutions: a missing link in multi-level
   adaptation planning? Insights from a multiple case study in Botswana
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Shared values; WeValue InSitu; local adaptation plan; village
   development committee; vulnerability risk assessment; multilevel
   adaptation
ID CLIMATE-CHANGE ADAPTATION; POLICY; PARTICIPATION; VULNERABILITY;
   GOVERNANCE; PROJECTS
AB The meaningful engagement of community-based actors in climate change adaptation planning is crucial for effective plans, but achieving it is an ongoing challenge, even with participatory methods. In this paper we explore very different approach, using shared-values crystallization as a pre-process to standard vulnerability risk assessments (VRAs), which recently reported significant impacts on plans produced. We posit this could be due to learning via changed local perceptions of roles, and we use multiple-case study work with five Village Development Committees (VDCs) in North East District, Botswana, and examine VRA outputs, and pre- and post-VRA interview transcripts, for evidence. Findings indicate that VDC members who took part in the shared-values pre-process significantly clarified and prioritized their general roles, and subsequently engaged more deeply in the planning process, taking more responsibility and ownership for the final adaptation plans. They related climate risks to their local lived-realities better, producing quality action plans, funding innovations and mainstreaming of adaptation into wider local plans, alongside an eagerness to present ideas to higher-governance levels. These findings suggest the shared-values pre-process could be immediately valuable for multilevel adaptation planning practices, and that the concept of role clarification deserves more specific consideration in academic studies on participation.
C1 [Sethamo, Obakeng A.; Harder, Marie K.] Fudan Univ, Dept Environm Sci & Engn, Shanghai, Peoples R China.
   [Sethamo, Obakeng A.] SADC, Southern African Sci Serv Ctr Climate Change & Ad, Windhoek, Namibia.
   [Karlsson-Vinkhuyzen, Sylvia] Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
   [Harder, Marie K.] Univ Brighton, Sch Comp Engn & Math, Cockcroft Bldg,Lewes Rd, Brighton BN2 4GJ, E Sussex, England.
C3 Fudan University; Wageningen University & Research; University of
   Brighton
RP Harder, MK (corresponding author), Univ Brighton, Sch Comp Engn & Math, Cockcroft Bldg,Lewes Rd, Brighton BN2 4GJ, E Sussex, England.
EM m.k.harder@brighton.ac.uk
RI Karlsson-Vinkhuyzen, Sylvia/C-4889-2009; Harder, Marie
   Kieran/D-3157-2013
OI Harder, Marie Kieran/0000-0002-1811-4597; Karlsson-Vinkhuyzen, Sylvia
   I/0000-0001-7632-8545
FU China National Thousand Talents Program; European Union [212237]
FX This work was funded indirectly through the China National Thousand
   Talents Program funding the post of MKH, and builds directly on work
   funded by the European Union's Seventh Framework Programme (grant number
   212237) under the 'Research for the Benefit of Specific Groups: Civil
   Society Organizations', ESDinds.
CR Adhikari B, 2012, CLIM DEV, V4, P54, DOI 10.1080/17565529.2012.664958
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], 2010, Journal of Education for Sustainable Development
   [Anonymous], 1989, The Sub-Saharan Africa: From Crisis to Sustainable Growth
   [Anonymous], 2014, COMPR ENV CLIM CHANG
   Berger R, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P22
   Boyd H, 2006, OCEAN COAST MANAGE, V49, P237, DOI 10.1016/j.ocecoaman.2006.03.006
   Brigstocke J., 2017, IMPLICIT VALUES UNCO
   Castro AlfonsoPeter., 2012, Climate Change and Threatened Communities: Vulnerability, Capacity, and Action
   CHAMBERS R, 1994, WORLD DEV, V22, P1253, DOI 10.1016/0305-750X(94)90003-5
   Chambers R., 2008, SAGE HDB ACTION RES, P297, DOI DOI 10.4135/9781848607934.N28
   Cheema G.S., 1983, DECENTRALISATION DEV
   Daze A, 2016, Vertical Integration in National Adaptation Plan (NAP) Processes: A guidance note for linking national and sub-national adaptation processes
   Dhungana N., 2017, J POLY GLOB, V62, P20
   Dube O.P., 2008, CLIMATE CHANGE ADAPT, P19
   Elwell H., 2009, DEFINING CAPACITY CO
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Government of Botswana Gaborone Republic of Botswana, 2009, Vision 2036: Achieving prosperity for all
   Government of Botswana (GoB), 2017, NAT DEV PLAN 11 APR
   Haque MM, 2017, CLIM RISK MANAG, V16, P43, DOI 10.1016/j.crm.2016.12.002
   Harder M., 2018, MEASURING INTANGIBLE
   Harder MK, 2021, J CLEAN PROD, V285, DOI 10.1016/j.jclepro.2020.125343
   Harder MK, 2014, J ENVIRON MANAGE, V139, P120, DOI 10.1016/j.jenvman.2014.02.022
   Harder MK, 2013, DES ISSUES, V29, P41, DOI 10.1162/DESI_a_00229
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Khatri D. B., 2013, Journal of Forest and Livelihood, V11, P14
   KING S, 2014, COMMUNITY BASED ADAP
   Kok K, 2007, ECOL SOC, V12
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Lynch AH, 2010, WEATHER CLIM SOC, V2, P311, DOI 10.1175/2010WCAS1049.1
   Maphosa F., 2019, BOTSW NOTES REC, V51, P78
   Masundire H., 2015, VULNERABILITY RISK A
   Matthews T, 2013, PLAN THEORY PRACT, V14, P198, DOI 10.1080/14649357.2013.781208
   MEZIROW J, 1994, ADULT EDUC QUART, V44, P222, DOI 10.1177/074171369404400403
   Ministry of Environment Natural Resources Conservation and Tourism (MENRCT), 2016, BOTSW CLIM CHANG RES
   Ministry of Environment Natural Resources Conservation and Tourism (MENRCT), 2018, BOTSW CLIM CHANG STR
   Ministry of Environment Natural Resources Conservation and Tourism (MENRCT), 2019, BOSTW 3 NAT COMM UN
   Ministry of Environment Natural Resources Conservation and Tourism (MENRCT), 2020, NAT AD PLAN FRAM BOT
   Ministry of Environment Wildlife and Tourism (MEWT), 2012, 2 NAT COMM UN FRAM C
   Ministry of Local Government (MLG), 2008, REV DISTR PLANN HDB
   Ministry of Works Transport and Communications (MWTC), 2001, BOTSW IN NAT COMM UN
   Moreno JM, 2020, SYST PRACT ACT RES, V33, P501, DOI 10.1007/s11213-019-09496-7
   Morgan E., 2018, ENVIRON SCI POLICY, V93, P435
   Mullan M., 2013, OECD Environment Working Papers, DOI [DOI 10.1787/5K483JPFPSQ1-EN, 10.1787/5k483jpfpsq1-en]
   O'Neill SJ, 2009, GLOBAL ENVIRON CHANG, V19, P402, DOI 10.1016/j.gloenvcha.2009.07.004
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Ouma GO, 2018, CLIM DEV, V10, P590, DOI 10.1080/17565529.2017.1372261
   Polanyi M., 1958, Personal knowledge
   Pradhan N., 2014, COMMUNITY BASED ADAP, P95
   Raihan M Sajid., 2010, Understanding Climate Change from below, Addressing Barriers from Above Practical Experience and Learning from a Community-based Adaptation Project in Bangladesh
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Regmi BR, 2014, CLIM DEV, V6, P306, DOI 10.1080/17565529.2014.977760
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   SETHAMO OA, J ENVIRON PLANN MAN
   Sethamo OA, 2020, CLIM DEV, V12, P448, DOI 10.1080/17565529.2019.1639488
   Sharma K.C., 2012, ROLE TRADITIONAL STR
   Sharma KC, 2010, COMMONW J LOCAL GOV, P135
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Smith B.C., 1985, POLIT SCI, V38, P194, DOI DOI 10.1177/003231878603800212
   Termeer CJAM, 2016, LANDSCAPE URBAN PLAN, V154, P11, DOI 10.1016/j.landurbplan.2016.01.007
   Uddin M. N., 2013, International Journal of Agricultural Research, Innovation and Technology, V3, P72
   UNFCCC, 2011, IN GUID FORM NAT AD
   United Nations Framework Convention on Climate Change (UNFCCC), 2002, UNFCCC RES GUID PREP
   van der Wal M, 2014, ENVIRON POLICY GOV, V24, P1, DOI 10.1002/eet.1627
   Yin R. K., 2009, CASE STUDY RES DESIG
NR 65
TC 3
Z9 3
U1 2
U2 8
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD APR 21
PY 2022
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DI 10.1080/17565529.2021.1924109
EA JUN 2021
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 2A7BO
UT WOS:000658207600001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Anisimov, A
   Magnan, AK
   Duvat, VKE
AF Anisimov, Ariadna
   Magnan, Alexandre K.
   Duvat, Virginie K. E.
TI Learning from risk reduction pilot projects for enhancing long-term
   adaptation governance: The case of Mauritius Island (Indian Ocean)
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change adaptation; Governance; Coastal risks; Small islands
ID CLIMATE-CHANGE ADAPTATION; MANAGEMENT; MITIGATION; QUESTION
AB In Mauritius island in the Indian Ocean, as in most low-lying coastal areas and Small Island Developing States in particular, coastal risks affect community livelihood, economic prosperity and the degradation of natural ecosystems. Risks of coastal erosion and marine flooding result both from climate-related ocean changes and anthropogenic drivers such as inappropriate coastal development and structural protection measures. Poor development planning and lack of coordination between public and private actors have increased the exposure of human assets along the Mauritius coastline. To reduce these risks, the government leads risk reduction activities in coastal zones, functioning on a centralized top-down governance approach. In recent years, this governance framework has been evolving by opening up participatory channels and exploring a long-term adaptation perspective. Progress is driven by international engagements and demonstration projects to embrace soft measures, nature-based options and integrated solutions. We review a selection of pilot projects undertaken by the government that illustrate flexibility in a 'learning by doing' model. However, we find that certain governance arrangements do not allow to draw the most from ad hoc projects because they do not feed into a long-term comprehensive plan. We consider the role of evidence and risk assessments, learning processes and coordination mechanisms as key governance mechanisms required for a robust and evolving national coastal risk reduction and adaptation policy framework.
C1 [Anisimov, Ariadna; Magnan, Alexandre K.] Sci Po, Inst Sustainable Dev & Int Relat, 27 Rue St Guillaume, Paris 75007, France.
   [Magnan, Alexandre K.; Duvat, Virginie K. E.] Univ Rochelle, UMR LIENSs 7266, CNRS, Rue Olympe Gouges, La Rochelle 17000, France.
   [Anisimov, Ariadna] Ecole Polytech, Batiment ENSTA,828 Blvd Marechaux, Palaiseau 91762, France.
C3 Institut d'Etudes Politiques Paris (Sciences Po); Centre National de la
   Recherche Scientifique (CNRS); Institut Polytechnique de Paris; Ecole
   Polytechnique
RP Anisimov, A (corresponding author), Sci Po, Inst Sustainable Dev & Int Relat, 27 Rue St Guillaume, Paris 75007, France.
EM ariadna.anisimov@iddri.org
RI Magnan, Alexandre/I-3377-2017; Duvat, Virginie/GLN-3102-2022
FU French National Research Agency under the STORISK research project
   [ANR-15-CE03-0003]; "Investissement d'avenir" programme
   [ANR-10-LABX-14-01]; Ministry of Land and Housing
FX This work was supported by the French National Research Agency under the
   STORISK research project (No. ANR-15-CE03-0003) and the "Investissement
   d'avenir" programme (No. ANR-10-LABX-14-01). The authors warmly thank
   the local stakeholders from diverse institutions who helped
   understanding coastal risk management and adaptation in Mauritius, as
   well as coastal residents and professionals who provided highly valuable
   information on coastal management. They acknowledge support from the
   Ministry of Land and Housing for providing historical aerial photographs
   of study sites, and from the French development Agency (AFD) for
   providing useful contacts.
CR Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2015, OECD Principles on Water Governance, P24
   [Anonymous], MEM 2018 2019 NAT BU
   [Anonymous], REV NAT PHYS DEV PLA
   [Anonymous], 2004, LITTORAUX MASCAREIGN
   [Anonymous], INC REP CLIM CHANG A
   [Anonymous], ENV PROT ACT
   [Anonymous], COAST SETB GUID
   [Anonymous], ADAPTING SEA LEVEL R
   [Anonymous], STUD COAST ER MAUR
   [Anonymous], 2015, PROJ CAP DEV COAST P
   [Anonymous], FISH MAR RES ACT
   [Anonymous], TROPICAL CYCLONES CO
   [Anonymous], 2013, J GEOGR NATL DISASTE, DOI DOI 10.4172/2167-0587.S1-003
   [Anonymous], TROPICAL EXTREMES NA
   [Anonymous], CLIM CHANG AD PROGR
   [Anonymous], W INDIAN OCEAN J MAR
   [Anonymous], SYNOPSIS CRITICAL CO
   [Anonymous], LOW LYING ISLANDS CO
   [Anonymous], NAT ENV POL
   [Anonymous], LIST PUBL BEACH MAUR
   [Anonymous], 20000 MANGROVES STRO
   Barquet K, 2018, COAST ENG, V134, P93, DOI 10.1016/j.coastaleng.2017.08.006
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Bheeroo RA, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5311-4
   Bindoff N. L., 2019, Changing Ocean, Marine Ecosystems, and Dependent Communities
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Duvat V, 2009, WIT TRANS ECOL ENVIR, V126, P149, DOI 10.2495/CP090141
   Gattuso JP, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00337
   Gordon M, 2009, NY TIMES BK REV, P10
   Granberg M, 2007, LOCAL ENVIRON, V12, P537, DOI 10.1080/13549830701656911
   Hammond DS, 2015, ENVIRON CONSERV, V42, P256, DOI 10.1017/S0376892914000411
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Hoegh-Guldberg O., 2018, IMPACTS 15 C GLOBAL
   Huitema D, 2009, ECOL SOC, V14
   Janssen M, 2016, GOV INFORM Q, V33, P1, DOI 10.1016/j.giq.2016.02.003
   Jonkman SN, 2003, J HAZARD MATER, V99, P1, DOI 10.1016/S0304-3894(02)00283-2
   Loorbach D, 2016, THEOR PRACT URB SUST, P1, DOI 10.1007/978-4-431-55426-4
   Losada IJ, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104983
   Magnan A., 2018, THEORY ADAPTATION CL
   Magnan A., 2007, CAHIERS DOUTRE MER, V60, P341, DOI 10.4000/com.2528
   McClanahan TR, 2019, NAT CLIM CHANGE, V9, P845, DOI 10.1038/s41558-019-0576-8
   McNamara KE, 2015, INT J DISAST RISK SC, V6, P315, DOI 10.1007/s13753-015-0065-2
   Meriwether A, 2018, MAR POLICY, V93, P284, DOI 10.1016/j.marpol.2018.01.018
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Onaka S., 2015, Handbook of Coastal Disaster Mitigation for Engineers and Planners, DOI [10.1016/B978-0-12-801060-0.00026-5, DOI 10.1016/B978-0-12-801060-0.00026-5]
   Oppenheimer M., IPCC SPECIAL REPORT
   Ourbak T, 2018, REG ENVIRON CHANGE, V18, P2201, DOI 10.1007/s10113-017-1247-9
   Penning-Rowsell EC, 2014, COAST ENG, V87, P210, DOI 10.1016/j.coastaleng.2013.12.005
   Ramessur RT, 2002, REG ENVIRON CHANGE, V3, P99, DOI 10.1007/s10113-002-0045-0
   Renn O., 2009, Environ. Policy Gov, V19, P174, DOI [10.1002/eet.507, DOI 10.1002/EET.507]
   Robinson SA, 2017, REG ENVIRON CHANGE, V17, P1103, DOI 10.1007/s10113-016-1085-1
   Schneider M, 2017, SPRINGER HANDBOOK OF ELECTROCHEMICAL ENERGY, P941
   Shreve CM, 2014, INT J DISAST RISK RE, V10, P213, DOI 10.1016/j.ijdrr.2014.08.004
   Siders AR, 2019, ONE EARTH, V1, P216, DOI 10.1016/j.oneear.2019.09.008
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Spencer B, 2017, J ENVIRON PLANN MAN, V60, P647, DOI 10.1080/09640568.2016.1168287
   Thaler T, 2016, ENVIRON SCI POLICY, V55, P292, DOI 10.1016/j.envsci.2015.04.007
   UN-OHRLLS, 2015, SMALL ISL DEV STAT N
   van Slobbe E, 2013, NAT HAZARDS, V66, P1461, DOI 10.1007/s11069-013-0612-3
   Vreugdenhil H, 2010, ECOL SOC, V15
   Wehn U, 2015, ENVIRON SCI POLICY, V48, P225, DOI 10.1016/j.envsci.2014.12.017
   Yu KP, 2018, FUDAN J HUM SOC SCI, V11, P1, DOI 10.1007/s40647-017-0197-4
NR 65
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PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
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JI Environ. Sci. Policy
PD JUN
PY 2020
VL 108
BP 93
EP 103
DI 10.1016/j.envsci.2020.03.016
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WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LK2PF
UT WOS:000530702500010
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Ojwang, L
   Rosendo, S
   Celliers, L
   Obura, D
   Muiti, A
   Kamula, J
   Mwangi, M
AF Ojwang, Lenice
   Rosendo, Sergio
   Celliers, Louis
   Obura, David
   Muiti, Anastasia
   Kamula, James
   Mwangi, Maina
TI Assessment of Coastal Governance for Climate Change Adaptation in Kenya
SO EARTHS FUTURE
LA English
DT Article
ID LOCAL-GOVERNMENT; BARRIERS; FRAMEWORK; SUSTAINABILITY; CHALLENGES;
   MANAGEMENT; IMPACTS; LESSONS; AFRICA; AREAS
AB The coastline of Kenya already experiences effects of climate change, adding to existing pressures such as urbanization. Integrated coastal management (ICM) is increasingly recognized as a key policy response to deal with the multiple challenges facing coastal zones, including climate change. It can create an enabling governance environment for effective local action on climate change by facilitating a structured approach to dealing with coastal issues. It encompasses the actions of a wide range of actors, including local governments close to people and their activities affected by climate change. Functioning ICM also offers opportunities for reducing risks and building resilience. This article applied a modified capitals approach framework (CAF), consisting of five "capitals," to assess the status of county government capacity to respond to climate change within the context of coastal governance in three county governments in Kenya. The baseline was defined in terms of governance relating to the implementation of the interrelated policy systems of ICM and coastal climate change adaptation (CCA). The CAF framework provided a systematic approach to building a governance baseline against which to assess the progress of county governments in responding to climate change. It identified gaps in human capacity, financial resource allocation to adaptation and access to climate change information. Furthermore, it showed that having well-developed institutions, including regulatory frameworks at the national level can facilitate but does not automatically enable adaptation at the county level.
C1 [Ojwang, Lenice; Obura, David] CORDIO, Mombasa, Kenya.
   [Rosendo, Sergio] Univ Nova Lisboa, FCSH, Lisbon, Portugal.
   [Celliers, Louis] CSIR, Nat Resources & Environm, Congella, South Africa.
   [Muiti, Anastasia; Kamula, James; Mwangi, Maina] NEMA, Mombasa, Kenya.
C3 Universidade Nova de Lisboa; Council for Scientific & Industrial
   Research (CSIR) - South Africa
RP Ojwang, L (corresponding author), CORDIO, Mombasa, Kenya.
EM lojwang@cordioea.net
RI Rosendo, Sergio/J-3904-2013; Celliers, Louis/GRO-6282-2022
OI Obura, David/0000-0003-2256-6649; Celliers, Louis/0000-0001-5096-1713;
   Ojwang, Lenice/0000-0002-2863-2283; Rosendo, Sergio/0000-0002-3095-9824
FU Western Indian Ocean Marine Science Association through its Marine
   Science for Management (MASMA) Programme [MASMA/OP/2013/01]; Seventh
   Framework Programme of the European Union [308438,
   PIRSES-GA-2013-612615]
FX This article is an output of a regional research project titled
   "Emerging Knowledge for Local adaptation." The project is being funded
   by the Western Indian Ocean Marine Science Association through its
   Marine Science for Management (MASMA) Programme (Grant No.
   MASMA/OP/2013/01). We are grateful for the immense contribution made by
   staff members of the County Governments of Kwale, Kilifi and Mombasa. We
   would also like to acknowledge the participation of all the other actors
   in coastal and disaster management in Kenya who participated in the
   research. The authors acknowledge the intellectual support of the
   European Union projects "Enhancing Risk Management Partnerships for
   Catastrophic Natural Hazards in Europe" (ENHANCE), and "Knowledge
   Production, Communication and Negotiation for Coastal Governance under
   Climate Change" (KNOWHOW). ENHANCE and KNOWHOW colleagues received
   funding under the Seventh Framework Programme of the European Union
   under grant agreements No. 308438 and PIRSES-GA-2013-612615,
   respectively. All the data used in the article are available in the
   references provided and supporting file.
CR Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289
   Agardy T., 2017, REVIVING W INDIAN OC
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2015, New Directions in Evaluation, DOI DOI 10.1002/EV.20127
   [Anonymous], 2009, Project Report-2009
   [Anonymous], 2013, SUMM POL
   [Anonymous], NAT CLIM CHANG RESP
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bauer A, 2015, REG ENVIRON CHANGE, V15, P341, DOI 10.1007/s10113-014-0655-3
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Bryner G, 2006, GOVERNANCE, V19, P673, DOI 10.1111/j.1468-0491.2006.00333_1.x
   Celliers L, 2013, MAR POLICY, V39, P72, DOI 10.1016/j.marpol.2012.10.005
   Celliers L., 2017, CTR INT EARTH SCI IN
   Church J.A., 2013, CLIMATE CHANGE 2013, DOI [10.1017/CBO9781107415324.026, DOI 10.1017/CBO9781107415324.026]
   Comte JC, 2016, J HYDROL-REG STUD, V5, P179, DOI 10.1016/j.ejrh.2015.12.065
   Dany V, 2016, CLIM POLICY, V16, P237, DOI 10.1080/14693062.2014.1003523
   Dovers S. R., 2010, WILEY INTERDISCIPLIN
   Eales K., 2010, WATER SERVICES S AFR, P33
   Falaleeva M, 2011, MAR POLICY, V35, P784, DOI 10.1016/j.marpol.2011.01.005
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Gero A., 2012, Cross-scale barriers to climate change adaptation in local government
   Goodwin N.R., 2003, Five Kinds of Capital: Useful Concepts for Sustainable Development
   Government of Kenya, 2010, CONST KEN KEN
   Government of Kenya, 2017, NAT MANGR EC PLAN
   Gupta J, 2010, WIRES CLIM CHANGE, V1, P636, DOI 10.1002/wcc.67
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hurlimann A, 2014, LANDSCAPE URBAN PLAN, V126, P84, DOI 10.1016/j.landurbplan.2013.12.013
   Jones N, 2013, OCEAN COAST MANAGE, V80, P12, DOI 10.1016/j.ocecoaman.2013.03.009
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Locatelli B., 2016, Routledge Handbook of Ecosystem Services, P481, DOI 10.4324/9781315775302-42
   Manez M., 2014, Assessing governance performance
   Marshall A, 2016, 2016 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON EMOTION AWARENESS IN SOFTWARE ENGINEERING (SEMOTION), P6, DOI [10.1109/SEmotion.2016.011, 10.1145/2897000.2897003]
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meijerink S, 2013, ENVIRON PLANN C, V31, P240, DOI 10.1068/c11129
   Merkens JL, 2016, GLOBAL PLANET CHANGE, V145, P57, DOI 10.1016/j.gloplacha.2016.08.009
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Mwakumanya A. M., 2003, RECENT ADV COASTAL E, P133
   Mwakumanya A. M., 2009, J GEOGRAPHY REGIONAL, V2, P229
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   O'Mahony C., 2015, MARINE POLICY
   Obura D., 2017, FUTURE, P64
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Pasquini L, 2014, J ENVIRON DEV, V23, P271, DOI 10.1177/1070496514525406
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Sales RFM, 2009, OCEAN COAST MANAGE, V52, P395, DOI 10.1016/j.ocecoaman.2009.04.007
   Schernewski G, 2014, OCEAN COAST MANAGE, V101, P2, DOI 10.1016/j.ocecoaman.2014.03.028
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   Tobey J, 2010, COAST MANAGE, V38, P317, DOI 10.1080/08920753.2010.483169
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Tychsen J, 2008, GEOL SURV DEN GREENL, P85
   United Nations Environmental Program (UNEP), 2006, MARINE COASTAL ECOSY
   Wellstead A., 2015, Michigan Journal of Sustainability, V3
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 64
TC 24
Z9 25
U1 5
U2 19
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 NOV
PY 2017
VL 5
IS 11
BP 1119
EP 1132
DI 10.1002/2017EF000595
PG 14
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 FQ1QS
UT WOS:000418133300004
OA Green Published, gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Glaas, E
   Ballantyne, AG
   Neset, TS
   Linnér, BO
AF Glaas, Erik
   Ballantyne, Anne Gammelgaard
   Neset, Tina-Simone
   Linner, Bjorn-Ola
TI Visualization for supporting individual climate change adaptation
   planning: Assessment of a web-based tool
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Adaptation constraints; Climate change communication; Homeowners;
   Individual adaptive capacity; Planning; Visualization
ID ADAPTIVE CAPACITY; HOUSEHOLD ADAPTATION; RISK; ENGAGEMENT; BARRIERS;
   PERCEPTIONS; INSIGHTS; OPTIONS; POLICY
AB Homeowners are important actors in implementing climate change adaptation. However, individual socio-cognitive constraints related to risk perceptions and perceived capacity may hamper their action. Climate change visualization could help planning and management overcome such constraints by offering accessible information to increase individual adaptive capacity. Such visualization would require that information be perceived as legitimate and credible by emphasizing the diversity of impacts and alternative options, and simultaneously as salient by highlighting context -specific risks and measures. Based on focus group interviews and test sessions, we analysed how homeowners made sense of and discussed a specific interactive planning support tool - VisAdapt (TM) - integrating climate scenarios, local risk maps, and adaptation measures for various house types. The tool combines precise and general depictions in visualizing climate change to support adaptation among Nordic homeowners. Results reveal that the tool spurred reflection on concrete local risks and various adaptation actions. The tool was less successful in providing a framework for assessing the magnitude of anticipated changes, making these appear as generally small. Visualization aspects that are important for spurring reflection on adaptive action are specifying various climate parameters, relating climate impacts to established practices for managing weather risks, and emphasizing diverse concrete short- and long-term measures. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Glaas, Erik; Ballantyne, Anne Gammelgaard; Neset, Tina-Simone; Linner, Bjorn-Ola] Linkoping Univ, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
   [Glaas, Erik; Ballantyne, Anne Gammelgaard; Neset, Tina-Simone; Linner, Bjorn-Ola] Linkoping Univ, Ctr Climate Sci & Policy Res, S-58183 Linkoping, Sweden.
   [Ballantyne, Anne Gammelgaard] Aarhus Univ, Dept Business Dev & Technol, DK-8000 Aarhus C, Denmark.
C3 Linkoping University; Linkoping University; Aarhus University
RP Glaas, E (corresponding author), Linkoping Univ, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.; Glaas, E (corresponding author), Linkoping Univ, Ctr Climate Sci & Policy Res, S-58183 Linkoping, Sweden.
EM Erik.glaas@liu.se
RI Linnér, Björn-Ola/AAL-2040-2020
OI Glaas, Erik/0000-0002-5126-3973; Neset, Tina-Simone/0000-0003-1151-9943;
   Ballantyne, Anne Gammelgaard/0000-0003-4291-2801
FU Top-level Research Initiative/Nordforsk
FX The authors wish to thank Mattias Hjerpe, Grete Hovelsrud, Tomasz Opach
   and Laura Sommer for constructive comments on an earlier version of this
   article, as well as the stakeholders who participated in the focus group
   interviews. The research was financed by The Top-level Research
   Initiative/Nordforsk through the contributions to the Nordic Center of
   Excellence for Strategic Adaptation Research (NORD-STAR). The study
   design, empirical analysis and writing have been the task of the
   authors.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2014, CONTRIBUTION WORKING
   Bartiaux F, 2014, BUILD RES INF, V42, P525, DOI 10.1080/09613218.2014.900253
   Bishop ID, 2015, LANDSCAPE URBAN PLAN, V142, P120, DOI 10.1016/j.landurbplan.2014.06.001
   Bishop ID, 2013, ENVIRON PLANN B, V40, P213, DOI 10.1068/b38159
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Bohman A, 2015, J ENVIRON PLANN MAN, V58, P2193, DOI 10.1080/09640568.2014.973937
   Dockerty T., 2005, Computers, Environment and Urban Systems, V29, P297, DOI 10.1016/j.compenvurbsys.2004.05.004
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Elrick-Barr CE, 2014, ECOL SOC, V19, DOI 10.5751/ES-06745-190412
   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
   Fiske J., 2011, Introduction to Communication Studies, VThird
   Fleming A, 2015, RURAL SOC, V24, P24, DOI 10.1080/10371656.2014.1001481
   Foo K, 2015, LANDSCAPE URBAN PLAN, V142, P80, DOI 10.1016/j.landurbplan.2015.07.014
   Glaas E, 2015, URBAN CLIM, V14, P41, DOI 10.1016/j.uclim.2015.07.003
   Glaas E, 2015, ENERGY RES SOC SCI, V10, P57, DOI 10.1016/j.erss.2015.06.012
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hjerpe M, 2012, MITIG ADAPT STRAT GL, V17, P471, DOI 10.1007/s11027-011-9337-3
   Johansson J., 2016, IEEE COMPUTER GRAPHI
   Keskitalo ECH, 2011, REG ENVIRON CHANGE, V11, P579, DOI 10.1007/s10113-010-0182-9
   Kettle NP, 2016, ENVIRON BEHAV, V48, P579, DOI 10.1177/0013916514551049
   KITZINGER J, 1995, BRIT MED J, V311, P299, DOI 10.1136/bmj.311.7000.299
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Koerth J, 2013, OCEAN COAST MANAGE, V82, P43, DOI 10.1016/j.ocecoaman.2013.05.008
   Kreibich H, 2011, REG ENVIRON CHANGE, V11, P59, DOI 10.1007/s10113-010-0119-3
   Krueger RichardA., 1998, ANAL REPORTING FOCUS
   Kvale S., 2009, Interviews: Learning the Craft of Qualitative Research Interviewing
   Lieske DJ, 2014, ESTUAR COAST SHELF S, V140, P83, DOI 10.1016/j.ecss.2013.04.017
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Lovett A, 2015, LANDSCAPE URBAN PLAN, V142, P85, DOI 10.1016/j.landurbplan.2015.02.021
   Lujala P, 2015, LOCAL ENVIRON, V20, P489, DOI 10.1080/13549839.2014.887666
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nassauer JI, 2015, LANDSCAPE URBAN PLAN, V142, P170, DOI 10.1016/j.landurbplan.2015.07.013
   NESET TS, 2016, THE PROFESSIONAL GEO, V68, P103
   Nicholson-Cole S. A., 2005, Computers, Environment and Urban Systems, V29, P255, DOI 10.1016/j.compenvurbsys.2004.05.002
   Niepold F, 2008, PHYS GEOGR, V29, P529, DOI 10.2747/0272-3646.29.6.529
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   O'Neill SJ, 2014, WIRES CLIM CHANGE, V5, P73, DOI 10.1002/wcc.249
   Porter JJ, 2014, CLIMATIC CHANGE, V127, P371, DOI 10.1007/s10584-014-1252-7
   Raymond CM, 2011, CLIMATIC CHANGE, V104, P653, DOI 10.1007/s10584-010-9806-9
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Sheppard SRJ, 2015, LANDSCAPE URBAN PLAN, V142, P95, DOI 10.1016/j.landurbplan.2015.07.006
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith Ian, 2013, Structural Survey, V31, P301, DOI 10.1108/SS-01-2013-0008
   Sovacool BenjaminK., 2015, The Political Economy of Climate Change Adaptation
   Storbjörk S, 2011, OCEAN COAST MANAGE, V54, P265, DOI 10.1016/j.ocecoaman.2010.12.007
   Uggla Y, 2008, J RISK RES, V11, P719, DOI 10.1080/13669870701746316
   Veloz S, 2012, CLIMATIC CHANGE, V112, P1037, DOI 10.1007/s10584-011-0261-z
   Vulturius G, 2015, SCAND J FOREST RES, V30, P217, DOI 10.1080/02827581.2014.1002218
   Wamsler C., 2015, International Journal of Disaster Resilience in the Built Environment, V6, P6, DOI DOI 10.1108/IJDRBE-09-2014-0070
   Wibeck V, 2013, SUSTAINABILITY-BASEL, V5, P4760, DOI 10.3390/su5114760
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
NR 56
TC 33
Z9 37
U1 1
U2 54
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 FEB
PY 2017
VL 158
BP 1
EP 11
DI 10.1016/j.landurbplan.2016.09.018
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 EF1HO
UT WOS:000390076100001
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Nwobodo, CE
   Nwokolo, B
   Iwuchukwu, JC
   Ohagwu, VA
   Ozioko, RI
AF Nwobodo, Cynthia Ebere
   Nwokolo, Blessing
   Iwuchukwu, Juliana Chinasa
   Ohagwu, Violet Amarachukwu
   Ozioko, Remigius Ikechukwu
TI Determinants of Ruminant Farmers' Use of Sustainable Production
   Practices for Climate Change Adaptation and Mitigation in Enugu State,
   Nigeria
SO FRONTIERS IN VETERINARY SCIENCE
LA English
DT Article
DE animal welfare; ruminant production; climate change; sustainable
   agriculture; adaptation and mitigation
ID CONSERVATION PRACTICES; MANAGEMENT PRACTICE; ADOPTION; AGRICULTURE;
   BEHAVIOR
AB A sustainable ruminant production system ensures economically viable livestock systems that meet the current and future demands of animal products as well as the environmental safety of current and future generations. The study analyzed the determinants of ruminant farmers' use of sustainable production practices for climate change adaptation and mitigation in Enugu State, Nigeria. Multistage sampling procedure was used to select ninety six (96) ruminant farmers that constituted the sample for the study. Semi-structured interview schedule with open ended questions was used in data collection. Data were analyzed using multiple regression and Pearson Moment Correlation statistics. Access to veterinary services (t = 2.056, p = 0.044), monthly household income (t = 3.582, p = 0.001) and annual income from ruminant production (t = -2.635, p = 0.011) were socio-economic factors that significantly influenced use of sustainable practices. The adjusted R- square implies that the three factors were able to explain 24% of variance in use of sustainable practices. There is a significant positive correlation (r = 0.426, p = 0.000) between knowledge level of farmers and their use of sustainable production practices. Schemes for financial inclusion such as payment for ecosystem services can spur farmers to adopt mitigation strategies. Improved climate change knowledge can enhance ruminant farmer's resilience to the increasing impacts of climate change.
C1 [Nwobodo, Cynthia Ebere; Nwokolo, Blessing; Iwuchukwu, Juliana Chinasa; Ohagwu, Violet Amarachukwu; Ozioko, Remigius Ikechukwu] Univ Nigeria, Dept Agr Extens, Nsukka, Nigeria.
C3 University of Nigeria
RP Nwobodo, CE (corresponding author), Univ Nigeria, Dept Agr Extens, Nsukka, Nigeria.
EM cynthia.nwobodo@unn.edu.ng
OI Violet Dhayabaran, V/0000-0001-7719-4702
CR Abraham T, 2018, FINANC INNOV, V4, DOI 10.1186/s40854-018-0094-0
   Ajzen I, 2011, BASIC APPL SOC PSYCH, V33, P101, DOI 10.1080/01973533.2011.568834
   [Anonymous], 2012, HELPING SMALLHOLDER
   [Anonymous], 2013, GREENHOUSE GAS EMISS
   [Anonymous], 1980, Indigenous knowledge systems and development
   Anyanwu N. J., 2020, Nigerian Journal of Animal Production, V47, P237
   Ashraf Ashaq, 2017, Journal of Entomology and Zoology Studies, V5, P1470
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Behnke GD, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8050062
   Benchaar C, 2011, ANIM FEED SCI TECH, V166-67, P338, DOI 10.1016/j.anifeedsci.2011.04.024
   Berhe M, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0084-2
   Biobaku K. T., 2018, Bangladesh Journal of Veterinary Medicine, V16, P87, DOI 10.3329/bjvm.v16i1.37381
   Bwambale N., 2015, Masters Thesis
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Delia G., 2015, CLIMATE LIVESTOCK DI
   Ezike JO., 1998, B MINISTRY WORKS LAN
   Fishbein M., 1975, Belief, attitudes, intention, DOI DOI 10.1080/00336297.1994.10484118.FAO/RAP/FIPL
   Food and Agriculture Organization of the United Nations, DESERTIFICATION
   Greiner R, 2009, AGR SYST, V99, P86, DOI 10.1016/j.agsy.2008.10.003
   Haque MN, 2018, J ANIM SCI TECHNOL, V60, DOI 10.1186/s40781-018-0175-7
   Henry B, 2012, CROP PASTURE SCI, V63, P191, DOI 10.1071/CP11169
   Hoving I., 2014, ADAPTATION LIVESTOCK
   Humane Society International, 2011, HSI REP IMP AN AGR G
   Ifeanyi-Obi C.C., 2014, J Environ Sci Toxicol Food Technol, V8, P1
   International Fund for Agricultural Development, 2009, LIVESTOCK CLIMATE CH
   Jokela B., 2019, MANURE APPL METHODS
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Lambrecht I, 2014, WORLD DEV, V59, P132, DOI 10.1016/j.worlddev.2014.01.024
   Lamorte W.W., 2019, THEORY PLANNED BEHAV
   Latruffe L, 2016, STUD AGRIC ECON, V118, P123, DOI 10.7896/j.1624
   Li D, 2019, RESOUR CONSERV RECY, V146, P28, DOI 10.1016/j.resconrec.2019.03.024
   Lin B. B., 2011, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V6, P1, DOI 10.1079/PAVSNNR20116020
   Malami BS., 2017, USMANU DANFODIYO U S, V1, P16
   Nwobodo C. E., 2015, African Journal of Agricultural Research, V10, P2875
   Offor E. I., 2018, Agro-Science, V17, P7, DOI 10.4314/as.v17i3.2
   Orheruata A. M., 2008, Journal of Applied Sciences and Environmental Management, V12, P129
   Pannell DJ, 2006, AUST J EXP AGR, V46, P1407, DOI 10.1071/EA05037
   Pretty J, 2014, ANN BOT-LONDON, V114, P1571, DOI 10.1093/aob/mcu205
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   Pulina G, 2017, ITAL J ANIM SCI, V16, P140, DOI 10.1080/1828051X.2016.1260500
   Rivera-Ferre MG, 2016, WIRES CLIM CHANGE, V7, P869, DOI 10.1002/wcc.421
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Ryan S., 2010, RHEUMATOLOGY INT ENC
   Sejian V., 2013, Indian Journal of Small Ruminants, V19, P1
   Shinde AK, 2013, INDIAN J ANIM SCI, V83, P998
   Si HY, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16152788
   Tessema WK, 2014, AGRON SUSTAIN DEV, V34, P75, DOI 10.1007/s13593-013-0167-4
   Varijakshapanicker P, 2019, ANIM FRONT, V9, P39, DOI 10.1093/af/vfz041
   Velten S, 2015, SUSTAINABILITY-BASEL, V7, P7833, DOI 10.3390/su7067833
   Webb J, 2013, ADV AGRON, V119, P371, DOI 10.1016/B978-0-12-407247-3.00007-X
   Yatoo MA, 2018, ASIAN AUSTRAL J ANIM, V31, P672, DOI 10.5713/ajas.16.0508
   Zhang YQW, 2017, CLIMATE, V5, DOI 10.3390/cli5040095
NR 52
TC 4
Z9 4
U1 1
U2 8
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2297-1769
J9 FRONT VET SCI
JI Front. Vet. Sci.
PD FEB 7
PY 2022
VL 9
AR 735139
DI 10.3389/fvets.2022.735139
PG 10
WC Veterinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Veterinary Sciences
GA ZH0NP
UT WOS:000760645900001
PM 35198622
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bhatti, MT
   Ahmad, W
   Shah, MA
   Khattak, MS
AF Bhatti, Muhammad Tousif
   Ahmad, Waqas
   Shah, Muhammad Azeem
   Khattak, Muhammad Shahzad
TI Climate change evidence and community level autonomous adaptation
   measures in a canal irrigated agriculture system of Pakistan
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE agricultural adaptation; General Circulation Model; canal irrigation;
   climate change; irrigated agriculture
ID BIAS CORRECTION
AB This paper predicts climate change pattern and outlines suitable adaptation strategies related to irrigated agricultural practices in Hakra Branch Canal Command (HBCC) of Pakistan. Climate change predictions were simulated using models perturbed with climatic data and A2 emission scenario. A biased correction method was applied to the simulated future climatic data. The study site reveals different nature of vulnerabilities to the changing climate based on climate change scenario downscaling. The variation in rainfall patterns, especially the seasonal shifts, would have likely impact on water availability for irrigation and subsequently on the crop growth. A detailed survey was conducted to investigate how farmers in HBCC perceive variations in weather patterns and the proposed adaptation measures. The statistical significance of farmers' perceptions and decisions about adaptation measures are reported with regard to their location along the secondary canals. The literature offers a range of potential climate change adaptation measures to the farming community that sometimes are not coherent with the national policy and the local practice. Farmers generally feel it difficult to pick a suitable adaptation option that suits their particular conditions. This research proposes a simple yet robust criterion to prioritize the potential climate change adaptation measures. This criterion (colloquially known as 3P) is based on three subjective factors - i.e. policy, prevalence and practicability - and it could be scaled out to other areas where results of climate change studies are available.
C1 [Bhatti, Muhammad Tousif; Ahmad, Waqas; Shah, Muhammad Azeem] Int Water Management Inst, Lahore, Pakistan.
   [Ahmad, Waqas] Hongik Univ, Hydrol Innovat Lab, Dept Civil Engn, Seoul, South Korea.
   [Khattak, Muhammad Shahzad] Univ Engn & Technol, Dept Agr Engn, Peshawar, Pakistan.
C3 PCSIR Laboratories Complex; CGIAR; International Water Management
   Institute (IWMI); Hongik University; University of Engineering &
   Technology Peshawar
RP Ahmad, W (corresponding author), Int Water Management Inst, Lahore, Pakistan.; Ahmad, W (corresponding author), Hongik Univ, Hydrol Innovat Lab, Dept Civil Engn, Seoul, South Korea.
EM waqas@alumni.ait.asia
RI Ahmad, Waqas/T-3207-2019
OI Ahmad, Dr. Waqas/0000-0002-9607-1254; Bhatti, Muhammad
   Tousif/0000-0001-7834-6114
FU Abu Dhabi DialogueSmall Grants Programme Project under the South Asia
   Water Initiative (SAWI)
FX Part of this research was supported by the Abu Dhabi DialogueSmall
   Grants Programme Project under the South Asia Water Initiative (SAWI)
   and co-ordinated by the International Center for Integrated Mountain
   Development (ICIMOD), Nepal.
CR [Anonymous], 2007, WORLD BANK POLICY RE
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2009, UNDERSTANDING FARMER
   [Anonymous], 2003, SUSTAIN DEV
   Bhatti MT, 2018, EXP AGR, V54, P201, DOI [10.1017/S0014479716000156, 10.1017/s0014479716000156]
   Ficklin DL, 2009, J HYDROL, V374, P16, DOI 10.1016/j.jhydrol.2009.05.016
   Ines AVM, 2006, AGR FOREST METEOROL, V138, P44, DOI 10.1016/j.agrformet.2006.03.009
   Law A.M., 1982, Simulation Modeling and Analysis
   Maraun D, 2013, J CLIMATE, V26, P2137, DOI 10.1175/JCLI-D-12-00821.1
   Panofsky H., 1968, SOME APPL STAT METEO
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Smiths J., 1997, Agricultural restructuring and sustainability: a geographical perspective., P167
   Wheaton E., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P215, DOI DOI 10.1023/A:1009660700150
NR 15
TC 8
Z9 8
U1 0
U2 17
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAR 16
PY 2019
VL 11
IS 3
BP 203
EP 211
DI 10.1080/17565529.2018.1442803
PG 9
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA HV7LR
UT WOS:000466163000002
DA 2025-01-10
ER

PT J
AU Lunt, ID
   Byrne, M
   Hellmann, JJ
   Mitchell, NJ
   Garnett, ST
   Hayward, MW
   Martin, TG
   McDonald-Maddden, E
   Williams, SE
   Zander, KK
AF Lunt, Ian D.
   Byrne, Margaret
   Hellmann, Jessica J.
   Mitchell, Nicola J.
   Garnett, Stephen T.
   Hayward, Matt W.
   Martin, Tara G.
   McDonald-Maddden, Eve
   Williams, Stephen E.
   Zander, Kerstin K.
TI Using assisted colonisation to conserve biodiversity and restore
   ecosystem function under climate change
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Ecological replacement; Managed relocation; Climate change adaptation;
   Ecosystem management; Restoration; Translocation
ID MANAGED RELOCATION; STRATEGIES; MIGRATION; RISK; AUSTRALIA; FRAMEWORK;
   ECOLOGY; FUTURE; FACE; UK
AB Assisted colonisation has received considerable attention recently, and the risks and benefits of introducing taxa to sites beyond their historical range have been vigorously debated. The debate has primarily focused on using assisted colonization to enhance the persistence of taxa that would otherwise be stranded in unsuitable habitat as a consequence of anthropogenic climate change and habitat fragmentation. However, a complementary motivation for assisted colonisation could be to relocate taxa to restore declining ecosystem processes that support biodiversity in recipient sites. We compare the benefits and risks of species introductions motivated by either goal, which we respectively term 'push' versus 'pull' strategies for introductions to preserve single species or for restoration of ecological processes. We highlight that, by focusing on push and neglecting pull options, ecologists have greatly under-estimated potential benefits and risks that may result from assisted colonisation. Assisted colonisation may receive higher priority in climate change adaptation strategies if relocated taxa perform valuable ecological functions (pull) rather than have little collateral benefit (push). Potential roles include enhancing resistance to invasion by undesired species, supporting co-dependent species, performing keystone functions, providing temporally critical resources, replacing taxa of low ecological redundancy, and avoiding time lags in the provisioning of desired functions. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.
C1 [Lunt, Ian D.] Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW, Australia.
   [Byrne, Margaret] Dept Environm & Conservat, Bentley, WA, Australia.
   [Hellmann, Jessica J.] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 USA.
   [Mitchell, Nicola J.] Univ Western Australia, Sch Anim Biol, Ctr Evolutionary Biol, Crawley, WA, Australia.
   [Garnett, Stephen T.; Zander, Kerstin K.] Charles Darwin Univ, Res Inst Environm & Livelihoods, Casuarina, NT, Australia.
   [Hayward, Matt W.] Australian Wildlife Conservancy, Nichols Point, Vic, Australia.
   [Martin, Tara G.; McDonald-Maddden, Eve] CSIRO Ecosyst Sci, Climate Adaptat Flagship, Dutton Pk, Qld, Australia.
   [McDonald-Maddden, Eve] Univ Queensland, ARC Ctr Excellence Environm Decis, St Lucia, Qld, Australia.
   [Williams, Stephen E.] James Cook Univ, Ctr Trop Biodivers & Climate Change, Townsville, Qld 4811, Australia.
C3 Charles Sturt University; University of Notre Dame; University of
   Western Australia; Charles Darwin University; Australian Wildlife
   Conservancy; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); University of Queensland; James Cook University
RP Byrne, M (corresponding author), Dept Environm & Conservat, Div Sci, Locked Bag 104,Bentley Delivery Ctr, Bentley, WA 6983, Australia.
EM margaret.byrne@dec.wa.gov.au
RI Martin, Tara/M-1897-2016; Mitchell, Nicola/K-5277-2012; Martin,
   Tara/B-8620-2009; Garnett, Stephen/M-3877-2013; Zander,
   Kerstin/M-2888-2013; mcdonald-madden, eve/A-5186-2012; Williams,
   Stephen/A-7250-2008; Hayward, Matt W./F-3569-2010; Byrne,
   Margaret/H-8198-2015
OI Mitchell, Nicola/0000-0003-0744-984X; Martin, Tara/0000-0001-7165-9812;
   Garnett, Stephen/0000-0002-0724-7060; Zander,
   Kerstin/0000-0002-2237-1801; mcdonald-madden, eve/0000-0001-7755-2338;
   Williams, Stephen/0000-0002-2510-7408; Hayward, Matt
   W./0000-0002-5574-1653; Byrne, Margaret/0000-0002-7197-5409; Lunt,
   Ian/0000-0002-2059-899X
CR [Anonymous], 2009, A Report to the Natural Resource Management Ministerial Council Commissioned By the Australian Government
   Beale CM, 2008, P NATL ACAD SCI USA, V105, P14908, DOI 10.1073/pnas.0803506105
   Bennett Andrew F., 2009, Ecological Management & Restoration, V10, P192, DOI 10.1111/j.1442-8903.2009.00489.x
   Brereton TM, 2008, J INSECT CONSERV, V12, P629, DOI 10.1007/s10841-007-9099-0
   Burbidge Andrew A., 2011, Pacific Conservation Biology, V17, P259
   Buse J, 2008, CONSERV BIOL, V22, P329, DOI 10.1111/j.1523-1739.2007.00880.x
   Cochrane MA, 2003, NATURE, V421, P913, DOI 10.1038/nature01437
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Diaz S, 1997, J VEG SCI, V8, P463, DOI 10.2307/3237198
   Fischer J, 2006, FRONT ECOL ENVIRON, V4, P80, DOI 10.1890/1540-9295(2006)004[0080:BEFART]2.0.CO;2
   Foley JA, 2007, FRONT ECOL ENVIRON, V5, P25, DOI 10.1890/1540-9295(2007)5[25:ARFDAL]2.0.CO;2
   Gibbons P., 2002, TREE HOOLLOWS WILDLI
   Gilman SE, 2010, TRENDS ECOL EVOL, V25, P325, DOI 10.1016/j.tree.2010.03.002
   Hellmann JJ, 2002, J ANIM ECOL, V71, P925, DOI 10.1046/j.1365-2656.2002.00658.x
   Hewitt N, 2011, BIOL CONSERV, V144, P2560, DOI 10.1016/j.biocon.2011.04.031
   Hobbs RJ, 2008, ANNU REV ENV RESOUR, V33, P39, DOI 10.1146/annurev.environ.33.020107.113631
   Hobbs RJ, 2001, RESTOR ECOL, V9, P239, DOI 10.1046/j.1526-100x.2001.009002239.x
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hoogland J.L., 2006, CONSERVATION BLACK T
   Lindenmayer D, 2008, ECOL LETT, V11, P78, DOI 10.1111/j.1461-0248.2007.01114.x
   Lindenmayer DB, 2010, BIOL CONSERV, V143, P1587, DOI 10.1016/j.biocon.2010.04.014
   Manning AD, 2006, BIOL CONSERV, V132, P311, DOI 10.1016/j.biocon.2006.04.023
   Manning AD, 2009, J BIOGEOGR, V36, P193, DOI 10.1111/j.1365-2699.2008.02026.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McDonald-Madden E, 2011, NAT CLIM CHANGE, V1, P261, DOI 10.1038/NCLIMATE1170
   McIntyre S, 2011, BIOL CONSERV, V144, P1781, DOI 10.1016/j.biocon.2011.03.023
   McKenney D, 2009, FOREST CHRON, V85, P258, DOI 10.5558/tfc85258-2
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Mead JI, 2010, QUATERN INT, V217, P138, DOI 10.1016/j.quaint.2009.10.011
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mueller JM, 2008, CONSERV BIOL, V22, P562, DOI 10.1111/j.1523-1739.2008.00952.x
   NOSS RF, 1990, CONSERV BIOL, V4, P355, DOI 10.1111/j.1523-1739.1990.tb00309.x
   Parker I.M., 1999, Biological Invasions, V1, P3, DOI 10.1023/A:1010034312781
   Pemberton RW, 2010, BOT REV, V76, P275, DOI 10.1007/s12229-010-9047-7
   Petchey OL, 1999, NATURE, V402, P69, DOI 10.1038/47023
   Purvis A, 2000, P ROY SOC B-BIOL SCI, V267, P1947, DOI 10.1098/rspb.2000.1234
   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
   [Rischkowsky B. FAO FAO], 2007, The State of the World's Animal Genetic Resources for Food and Agriculture
   Sandler R, 2010, CONSERV BIOL, V24, P424, DOI 10.1111/j.1523-1739.2009.01351.x
   Schops K, 1996, B ENTOMOL RES, V86, P591, DOI 10.1017/S0007485300039390
   Schwartz MW, 2009, TRENDS ECOL EVOL, V24, P474, DOI 10.1016/j.tree.2009.05.006
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   Simberloff D, 1998, BIOL CONSERV, V83, P247, DOI 10.1016/S0006-3207(97)00081-5
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Vitt P, 2009, TRENDS ECOL EVOL, V24, P473, DOI 10.1016/j.tree.2009.05.007
   Waterman RJ, 2011, AM NAT, V177, pE54, DOI 10.1086/657955
   Willis SG, 2009, CONSERV LETT, V2, P45, DOI 10.1111/j.1755-263X.2008.00043.x
   Yates CJ, 2007, AUST J BOT, V55, P194, DOI 10.1071/BT06032
   Yates CJ, 2010, DIVERS DISTRIB, V16, P187, DOI 10.1111/j.1472-4642.2009.00623.x
NR 51
TC 106
Z9 118
U1 3
U2 247
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD JAN
PY 2013
VL 157
BP 172
EP 177
DI 10.1016/j.biocon.2012.08.034
PG 6
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 113FF
UT WOS:000316651200020
DA 2025-01-10
ER

PT J
AU Pearce, T
   Ford, JD
   Caron, A
   Kudlak, BP
AF Pearce, Tristan
   Ford, James D.
   Caron, Amanda
   Kudlak, Bill Patrick
TI Climate change adaptation planning in remote, resource-dependent
   communities: an Arctic example
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Inuvialuit; Adaptation; Adaptation planning; Arctic;
   Remote communities; Participatory research; Climate policy; Inuit
ID FOOD INSECURITY; VULNERABILITY; NUNAVUT; HEALTH; PHOTOVOICE; CAPACITY;
   IGLOOLIK; ALASKA; RIVER
AB This paper develops a methodology for climate change adaptation planning in remote, resource-dependent communities. The methods are structured using a vulnerability framework, and community members, local stakeholders and researchers are engaged in an iterative planning process to identify, describe, prioritize and pilot adaptation actions. The methods include: (1) analysis of secondary sources of information, (2) community collaboration and partnership building, (3) adaptation planning workshops, (4) adaptation plan development, (5) key informant and community review and (6) pilot adaptation actions. Vulnerability to climate change is assessed in the context of other nonclimatic factors-social, political, economic and environmental, already being experienced in communities and which influence how climate change is experienced and responded to. Key exposure-sensitivities and related adaptation options are identified in five sectors of a community: business and economy, culture and learning, health and wellbeing, subsistence harvesting, and transportation and infrastructure. This organization allows for focused discussions and the involvement of relevant stakeholders and experts from each sector. The methodology is applied in Paulatuk, an Inuit community located in the Inuvialuit Settlement Region (ISR), Northwest Territories (NWT), Canada, and key findings are highlighted. The methods developed have important lessons for adaptation planning in remote, resource-dependent communities generally and contributes to a small but growing scholarship on methodology in the human dimensions of climate change.
C1 [Pearce, Tristan] Univ Guelph, Dept Geog, Guelph, ON N1G 2W1, Canada.
   [Ford, James D.; Caron, Amanda] McGill Univ, Dept Geog, Montreal, PQ H3A 2K6, Canada.
   [Kudlak, Bill Patrick] Community Paulatuk, Paulatuk, NT, Canada.
C3 University of Guelph; McGill University
RP Pearce, T (corresponding author), Univ Guelph, Dept Geog, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada.
EM tpearce@uoguelph.ca; james.ford@mcgill.ca
RI Pearce, Tristan/L-9139-2019; Ford, James/A-4284-2013
OI Ford, James/0000-0002-2066-3456
FU Aboriginal Affairs and Northern Development Canada's Climate Change
   Adaptation Program
FX The authors wish to thank and acknowledge Albert Ruben, Ray Ruben, Herb
   Nakimayak, Debbie Gordon-Ruben, Mary Latifa Ruben, and Tony and Mary
   Green of Paulatuk, NWT for their constructive feedback; Yves Theriault,
   Michael Westlake and Martin Tremblay of Aboriginal Affairs and Northern
   Development Canada for their ongoing support; Dr. Barry Smit and Frank
   Duerden for intellectual input; and KC Bolton for reviewing early
   drafts. Special thanks to Tanya Smith for her research and fieldwork
   contribution, Jason Prno, Trailhead Consulting, for researching the
   programmes and organizations to support adaptation actions, Melanie
   Irvine for technical expertise on landscape hazards, and Arianwen
   Goronwy-Roberts and Will Vanderbilt for design work. This project was
   funded by Aboriginal Affairs and Northern Development Canada's Climate
   Change Adaptation Program.
CR AANDC, 2012, AD PROJ
   Alessa L, 2008, GLOBAL ENVIRON CHANG, V18, P153, DOI 10.1016/j.gloenvcha.2007.05.007
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   [Anonymous], 2008, THESIS U GUELPH
   [Anonymous], 2005, ARCTIC CLIMATE IMPAC
   [Anonymous], PREP CLIM CHANG GUID
   [Anonymous], UKCIP AD WIZ V 2 0
   [Anonymous], MANAGING RISKS CLIMA
   Beaumier MC, 2010, CAN J PUBLIC HEALTH, V101, P196, DOI 10.1007/BF03404373
   Berkes F, 2002, CONSERV ECOL, V5
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bolton K., 2011, WHAT WE KNOW DONT KN
   Borsy E, 2006, THESIS RYERSON U
   Bruce JP, 2006, ADAPTING CLIMA UNPUB
   Budreau D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1305, DOI 10.1007/s11027-006-9053-6
   CARMA, 2010, BLUEN W STAT TRENDS
   Centre for Public Management Inc, 2009, SUMM EV NEW DEAL NWT
   Chambers R., 1996, WHOSE REALITY COUNTS, DOI DOI 10.3362/9781780440453
   CIER, 2006, CLIM CHANG PLANN TOO
   CIP, 2010, CLIM CHANG RES LIB
   City of Homer AK, 2007, CIT HOM CLIM ACT PLA
   City of Keene NH, 2009, CLIM DAT ACT PLAN SU
   Comer N, 2009, ADAPTATION IMPACTS R
   Couture NJ, 2007, CLIMATIC CHANGE, V85, P407, DOI 10.1007/s10584-007-9309-5
   Couture R, 2002, GEOL SURV CAN OPEN F, V3867, P83
   DUERDEN F, 2006, CLIMATE CHANGE LINKI, P81
   Ecology North Community of Tsiigehtchic NWT, 2010, GWICHY GWICH CLIM CH
   Ford JD, 2009, CLIM RES, V38, P137, DOI 10.3354/cr00777
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Ford JD, 2011, ADV GLOB CHANGE RES, V42, P3, DOI 10.1007/978-94-007-0567-8_1
   Ford JD, 2011, AM J PUBLIC HEALTH, V101, P814, DOI 10.2105/AJPH.2010.300105
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Ford JD, 2011, GEOGR J, V177, P44, DOI 10.1111/j.1475-4959.2010.00374.x
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024006
   Ford JD, 2009, REG ENVIRON CHANGE, V9, P83, DOI 10.1007/s10113-008-0060-x
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Ford JD, 2012, CLIMATE CHANGE VULNE
   Ford JD, 2012, LIT REV GAP ANAL HUM
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Furgal C., 2008, IMACTS ADAPTATION CA, P57
   Gearheard S, 2006, AMBIO, V35, P203, DOI 10.1579/0044-7447(2006)35[203:INTSAC]2.0.CO;2
   Goldhar C, 2010, INT J CIRCUMPOL HEAL, V69, P285, DOI 10.3402/ijch.v69i3.17616
   Healey GK, 2011, ARCTIC, V64, P89, DOI 10.14430/arctic4082
   Houghton JTY, 2001, WORKING GROUP 2 CONT
   Huntington HP, 2007, REG ENVIRON CHANGE, V7, P173, DOI 10.1007/s10113-007-0038-0
   ICLEI Canada, 2008, CHANG CLIM CHANG COM
   INAC, 2008, REV NO FOOD BASK HIG
   Irvine M, 2011, LANDSCAPE RISKS CLIM
   Laidler GJ, 2009, CLIMATIC CHANGE, V94, P363, DOI 10.1007/s10584-008-9512-z
   Lardeau MP, 2011, RURAL REMOTE HEALTH, V11
   Larsen PH, 2008, GLOBAL ENVIRON CHANG, V18, P442, DOI 10.1016/j.gloenvcha.2008.03.005
   Manson GK, 2005, GEO-MAR LETT, V25, P138, DOI 10.1007/s00367-004-0195-9
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Newton J., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P541, DOI 10.1007/s11027-005-0060-9
   Nickels S., 2005, UNIKKAAQATIGIIT PUTT
   Nickels S., 2006, Unikkaaqatigiit - Putting the Human Face on Climate Change: Perspectives from Inuit in Canada
   Nickels S, 2007, INUIT TAPIRIIT KANAT
   Nickels S., 2002, The Earth Is Faster Now: Indigenous Observations of Arctic Environmental Change
   NRTEE, 2009, AD INFR CLIM CHANG N
   NWT Bureau of Statistics, 2010, PAUL STAT PROF
   NWT ENR, 2008, NWT CLIM CHANG IMP A
   Oceania ICLEI, 2008, LOC GOV CLIM CHANG A
   PARC, 2010, SASKADAPT
   Parks Canada, 2009, PAUL OR HIST PROJ IN
   [Parry Martin. IPCC. Intergovernmental Panel on Climate Change IPCC. Intergovernmental Panel on Climate Change], 2007, WORKING GROUP 2 CONT
   PCIC, 2010, PLAN2ADAPT
   Pearce T, 2010, MERIDIAN         SPR, P6
   Pearce T, 2011, REG ENVIRON CHANGE, V11, P1, DOI 10.1007/s10113-010-0126-4
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Prno J, 2011, POLAR RES, V30, DOI 10.3402/polar.v30i0.7363
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Shaw Rajib., 2006, Multiple Dimension of Global Environmental Changes
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Suarez P, 2008, IDS BULL-I DEV STUD, V39, P96
   Todd ZSC, 2010, THESIS U ALBERTA
   Tryhorn L, 2011, B AM METEOROL SOC, V92, P1137, DOI 10.1175/2010BAMS3104.1
   Wang CC, 1998, HEALTH PROMOT INT, V13, P75, DOI 10.1093/heapro/13.1.75
   Wenzel GW, 2009, POLAR RES, V28, P89, DOI 10.1111/j.1751-8369.2009.00098.x
   Wolfe BB, 2007, ARCTIC, V60, P75
   Zhou FQ, 2009, COLD REG SCI TECHNOL, V56, P141, DOI 10.1016/j.coldregions.2008.12.004
NR 86
TC 43
Z9 51
U1 7
U2 140
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2012
VL 12
IS 4
BP 825
EP 837
DI 10.1007/s10113-012-0297-2
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 081ER
UT WOS:000314300400014
DA 2025-01-10
ER

PT J
AU Lee, MA
   Mondal, S
   Teng, SY
   Nguyen, ML
   Lin, PTASK
   Wu, JH
   Mondal, BK
AF Lee, Ming An
   Mondal, Sandipan
   Teng, Sheng-Yuan
   Nguyen, Manh-Linh
   Lin, Platinasoka
   Wu, Jun-Hong
   Mondal, Biraj Kanti
TI Fishery-based adaption to climate change: the case of migratory species
   flathead grey mullet<i> (Mugil</i><i> cephalus</i> L.) in Taiwan Strait,
   Northwestern Pacific
SO PEERJ
LA English
DT Article
DE Flathead grey mullet; Mugil cephalus; Fisheries sustainability; Taiwan
   strait; Climate indexes
ID SUSTAINABLE DEVELOPMENT GOALS; SDG 14; SALINITY; VARIABILITY; RESPONSES;
   IMPACTS; OCEAN
AB The flathead gray mullet (Mugil cephalus L.) is a cosmopolitan fish that lives in warm and temperate zones over 42 & DEG;N-42 & DEG;S. It is a key fish species for industrial fishing off coastal Taiwan. Gray mullets enter the coastal waters of the southeastern Taiwan Strait (22 & DEG;N-25 & DEG;N) to spawn in winter and feed in the coastal and tidal waters of China (25 & DEG;N-30 & DEG;N). From 1986 to 2010, the annual catch of gray mullet decreased substantially and remained low. Although the Pacific Decadal Oscillation and El Nino-Southern Oscillation are recognized to affect gray mullet migration, the increase in sea surface temperature may be the main cause of the aforementioned decrease. We explored how weather changes affect fishing conditions and patterns at the gray mullet fishing grounds in Taiwan's coastal areas. Because of the decrease in gray mullet catches, the most common method for catching gray mullet in Taiwan's coastal areas between 1990 and 2010 was the use of drift or trawl nets instead of two-boat purse-seiner fleets. Since 2012, purse-seiner fleets have become the most common method for catching gray mullet. This trend indicates that the local fishing industry is adapting to changing environmental conditions.
C1 [Lee, Ming An; Mondal, Sandipan] Natl Taiwan Ocean Univ, Ctr Excellence Oceans, Keelung, Zhongzheng Dist, Taiwan.
   [Lee, Ming An; Mondal, Sandipan; Teng, Sheng-Yuan; Nguyen, Manh-Linh; Wu, Jun-Hong] Natl Taiwan Ocean Univ, Environm Biol & Fishery Sci, Keelung, Zhongzheng Dist, Taiwan.
   [Nguyen, Manh-Linh] Natl Taiwan Univ, Inst Ecol & Evolutionary Biol, Taipei, Taiwan.
   [Lin, Platinasoka] Taiwan Ocean Conservat & Fishery Sustainabil Fdn, Taipei, Taiwan.
   [Mondal, Biraj Kanti] Netaji Subhas Open Univ, Dept Geog, Kolkata 700064, W Bengal, India.
C3 National Taiwan Ocean University; National Taiwan Ocean University;
   National Taiwan University
RP Mondal, S (corresponding author), Natl Taiwan Ocean Univ, Ctr Excellence Oceans, Keelung, Zhongzheng Dist, Taiwan.; Mondal, S (corresponding author), Natl Taiwan Ocean Univ, Environm Biol & Fishery Sci, Keelung, Zhongzheng Dist, Taiwan.
EM sandipan@mail.ntou.edu.tw
RI Mondal, Sandipan/ACX-2334-2022; Mondal, Biraj Kanti/AFQ-3041-2022
OI Nguyen, Manh-Linh/0000-0001-9437-924X; Mondal, Biraj
   Kanti/0000-0002-5010-0224
FU Fisheries Agency, Council of Agriculture (Taiwan)
   [106AS-10.1.5-FA-F1(4), 107AS-9.1.5-FA-F1(4)]; National Science and
   Technology Council of Taiwan [MOST 111-2923-M-019-001-MY2, MOST
   109-2621-M-019-003-MY2]
FX This research wasfinanced by the Fisheries Agency, Council of
   Agriculture (Taiwan) (106AS-10.1.5-FA-F1(4); 107AS-9.1.5-FA-F1(4)) and
   the National Science and Technology Council of Taiwan (MOST
   111-2923-M-019-001-MY2 and MOST 109-2621-M-019-003-MY2). The Fisheries
   Agency, Council of Agriculture (Taiwan) helped in datacollection
   andfinance to run the project. No other contributions were made by these
   twofunding agencies for the research. The funders had no role in study
   design, data collectionand analysis, decision to publish, or preparation
   of the manuscript.
CR Barclay K., 2020, Economic analysis social and economic monitoring following the NSW commercial fisheries business adjustment program
   Ben Khemis I, 2019, AQUAT LIVING RESOUR, V32, DOI 10.1051/alr/2018026
   Boeuf G, 2001, COMP BIOCHEM PHYS C, V130, P411, DOI 10.1016/S1532-0456(01)00268-X
   Brusle J., 1981, International Biological Programme, V26, P185
   Carton JA, 2008, MON WEATHER REV, V136, P2999, DOI 10.1175/2007MWR1978.1
   Chen JL, 2006, STUDY PLANNING MANAG
   Chen W, 1986, Study on the Resource of Grey Mullet in Taiwan, 1983-1985, P73
   Cheng Z, 2016, ENVIRON SCI POLLUT R, V23, P7195, DOI 10.1007/s11356-016-6484-9
   Chien A, 2016, AQUAC RES, V47, P2455, DOI 10.1111/are.12693
   Chung S.W., 2001, Journal of Oceanography, V57, P47, DOI DOI 10.1023/A:1011122703552
   Cormier R, 2017, MAR POLLUT BULL, V123, P28, DOI 10.1016/j.marpolbul.2017.07.060
   Crosetti D., 2015, Biology, Ecology and Culture of Grey Mullets (Mugilidae), P398
   Friess DA, 2020, SUSTAINABLE DEVELOPMENT GOALS: THEIR IMPACTS ON FORESTS AND PEOPLE, P445
   Genner MJ, 2010, GLOBAL CHANGE BIOL, V16, P517, DOI 10.1111/j.1365-2486.2009.02027.x
   Gittings JA, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20560-5
   González-Castro M, 2011, ITAL J ZOOL, V78, P343, DOI 10.1080/11250003.2010.549154
   Griggs D., 2017, A guide to SDG interactions: From science to implementation, DOI 10.24948/2017.01
   Grinsted A, 2004, NONLINEAR PROC GEOPH, V11, P561, DOI 10.5194/npg-11-561-2004
   Ho CH, 2022, FISHES-BASEL, V7, DOI 10.3390/fishes7030116
   Hotos GN, 1998, AQUACULTURE, V167, P329, DOI 10.1016/S0044-8486(98)00314-7
   Hsu PC, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214340
   HUANG C-S, 1989, Journal of the Fisheries Society of Taiwan, V16, P47
   Huang CS, 1986, Study on the Resource of Grey Mullet in Taiwan, P1963
   Huang CS, 2005, Fisheries Research Institute Newsletter, V9, P1
   Huang SY, 1989, TFRI (Taiwan Fisheries Research Institute) Newsletter, V7, P1
   Hung C.M. e., 2006, Marine Resource Economics, V21, P285, DOI [10.1086/mre.21.3.42629512, DOI 10.1086/MRE.21.3.42629512]
   Ibáñez AL, 2012, CIENC MAR, V38, P73, DOI 10.7773/cm.v38i1A.1905
   Jan S, 2002, J MARINE SYST, V35, P249, DOI 10.1016/S0924-7963(02)00130-6
   Ju PL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00618
   Kenny AJ, 2018, MAR POLICY, V93, P232, DOI 10.1016/j.marpol.2017.05.018
   Kim YS, 2015, FISHERIES SCI, V81, P891, DOI 10.1007/s12562-015-0901-8
   Koga S., 1958, Bulletin Faculty of Fisheries, Nagasaki University, V6, P85
   Kumaran R., 2012, ADV APPL SCI RES, V3, P2015
   Kuo CL., 1986, Study on the resource of grey mullet in Taiwan, 1983-1985, P27
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Lan KW, 2017, MAR COAST FISH, V9, P271, DOI 10.1080/19425120.2017.1317680
   Lan KW, 2014, CLIMATIC CHANGE, V126, P189, DOI 10.1007/s10584-014-1208-y
   Liang ZL, 2014, J OCEAN U CHINA, V13, P467, DOI 10.1007/s11802-014-2167-7
   Lin JS, 1979, Bull. Taiwan Fish. Res. Ins, V31, P283
   Liu CH, 1986, STUDY RESOURCE GREY
   Lupatsch I, 2003, AQUAC RES, V34, P1367, DOI 10.1111/j.1365-2109.2003.00954.x
   Matsuno T, 2009, OCEAN SCI, V5, P303, DOI 10.5194/os-5-303-2009
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   Ménard F, 2007, FISH OCEANOGR, V16, P95, DOI 10.1111/j.1365-2419.2006.00415.x
   MEYERS SD, 1993, MON WEATHER REV, V121, P2858, DOI 10.1175/1520-0493(1993)121<2858:AITWAI>2.0.CO;2
   Mugagga F, 2016, INT SOIL WATER CONSE, V4, P215, DOI 10.1016/j.iswcr.2016.05.004
   Naimullah M, 2020, DISTRIBUTION HABITAT
   Naimullah M, 2022, FISH RES, V250, DOI 10.1016/j.fishres.2022.106258
   Naimullah M, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12142231
   Neumann B, 2017, SUSTAIN SCI, V12, P1019, DOI 10.1007/s11625-017-0472-y
   Ntona M, 2018, MAR POLICY, V93, P214, DOI 10.1016/j.marpol.2017.06.020
   Oshima M, 1922, A review of the fishes of the family Mugilidae found in the waters of Formosa
   Palkovacs EP, 2011, TRENDS ECOL EVOL, V26, P616, DOI 10.1016/j.tree.2011.08.004
   Pauly D, 2005, PHILOS T R SOC B, V360, P5, DOI 10.1098/rstb.2004.1574
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Rueda Mario, 2011, FAO Fisheries and Aquaculture Technical Paper, V544, P117
   Rushall BS, 2007, Swimming Science Bulletin, V36, P15
   Shao KT, 2011, INVESTIGATION PLANNI
   Shen KN, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-83
   Shiah FK, 2000, CONT SHELF RES, V20, P2029, DOI 10.1016/S0278-4343(00)00055-8
   Shyu CZ, 1986, Study on the Resource of Grey Mullet in Taiwan, 1983-198S, P1
   Sturesson A., 2018, SDG 14 LIFE WATER RE
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Thomson J.M., 1963, SYNOPSIS BIOL DATA G
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   TUNG I-H, 1981, Report of the Institute of Fishery Biology of Ministry of Economic Affairs and National Taiwan University, V3, P38
   Tzeng MT, 2012, J MAR SCI TECH-TAIW, V20, P707, DOI 10.6119/JMST-012-0913-1
   Urbina MA, 2015, J EXP MAR BIOL ECOL, V473, P7, DOI 10.1016/j.jembe.2015.07.014
   Virto LR, 2018, MAR POLICY, V98, P47, DOI 10.1016/j.marpol.2018.08.036
   Zhong YP, 2019, ICES J MAR SCI, V76, P2374, DOI 10.1093/icesjms/fsz142
NR 70
TC 3
Z9 3
U1 4
U2 22
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD AUG 30
PY 2023
VL 11
AR e15788
DI 10.7717/peerj.15788
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Q9PH4
UT WOS:001060758900001
PM 37663299
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lops, C
   Di Loreto, S
   Pierantozzi, M
   Montelpare, S
AF Lops, Camilla
   Di Loreto, Samantha
   Pierantozzi, Mariano
   Montelpare, Sergio
TI Double-Skin Facades for Building Retrofitting and Climate Change: A Case
   Study in Central Italy
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE building energy retrofitting; Double-Skin Facades; climate change;
   regional climate model; dynamic energy modelling; MM5; CORDEX
ID ENERGY PERFORMANCE; NATURAL VENTILATION; MODEL ALADIN; SIMULATION;
   DEVICES; DEMAND; SYSTEM
AB Featured Application Forecast procedures for building energy renovation and design. In recent years, the need to make the built environment more resilient and adaptable to climate change has become essential. In Europe, this aspect concerns most existing buildings with several deficiencies from the energy efficiency point of view, considering they were designed before the introduction of modern codes. Among the various strategies for building energy retrofitting, Double-Skin Facades (DSFs) have gained attention due to their potential to improve the building performance and inhabitants' comfort. This research aims to evaluate the use of adequately designed DSFs for the energy restoration of buildings. In detail, various DSF configurations are applied to a residential building located in Central Italy and investigated under present and future climate conditions, estimated through regional climate models. The installation of multi-layered facades, particularly the Multi-Storey typology, greatly reduces energy consumption and increases the expected comfort rates. When the selected configuration was considered, the results underline a decrease in the annual building energy requirement of about 37-56% up to 42-59%, respectively, for 2030 and 2070. Moreover, using multi-layer facades can increase indoor minimum operative temperatures up to 3.8% during the coldest months and reduce the maximum summer ones by 1.9-3.8%, raising comfort levels.
C1 [Lops, Camilla; Di Loreto, Samantha; Pierantozzi, Mariano; Montelpare, Sergio] Univ G dAnnunzio, Dept Engn & Geol, I-65122 Pescara, Italy.
C3 G d'Annunzio University of Chieti-Pescara
RP Lops, C (corresponding author), Univ G dAnnunzio, Dept Engn & Geol, I-65122 Pescara, Italy.
EM camilla.lops@unich.it; samantha.diloreto@unich.it;
   mariano.pierantozzi@unich.it; s.montelpare@unich.it
RI Pierantozzi, Mariano/I-2980-2019; Montelpare, Sergio/AAK-9101-2021
OI Lops, Camilla/0000-0002-7613-9194; Di Loreto,
   Samantha/0000-0002-1901-4280; Pierantozzi, Mariano/0000-0001-7296-9898;
   Montelpare, Sergio/0000-0003-0151-1219
FU Italian Ministry for the Economic Development-CUP [D92F16000360003]
FX This research was developed within the framework of the Italian Research
   Project "Soluzioni integrate energetiche e antisismiche per costruzioni
   edili", under the PON action "Dottorati Innovativi con caratterizzazione
   Industriale", funded by the Italian Ministry for the Economic
   Development-CUP: D92F16000360003.
CR Abraharn SB, 2018, IOP CONF SER-MAT SCI, V453, DOI 10.1088/1757-899X/453/1/012030
   [Anonymous], 2010, OFF J EUR UNION
   [Anonymous], 2003, OFF J EUR COMMUNITIE
   [Anonymous], 1996, IDOJ R S
   [Anonymous], 2013, Off. J. Eur. Union, P1
   [Anonymous], 2005, 1592742005 EN ISO
   [Anonymous], 2019, Energy Performance of BuildingsVentilation for Buildings, Part 1: Indoor Environmental Input Parameters for Design and Assessment of Energy Performance of Buildings Addressing Indoor Air Quality, Thermal Environment, Lighting and Acoustic
   [Anonymous], FONDAZIONE OSSERVATO
   Ascione F, 2021, SOL ENERGY, V224, P703, DOI 10.1016/j.solener.2021.06.035
   Athienitis A.K., 2017, P 1 INT C BUILDING I
   Ballestini G, 2005, BUILD ENVIRON, V40, P983, DOI 10.1016/j.buildenv.2004.09.015
   BUBNOVA R, 1995, MON WEATHER REV, V123, P515, DOI 10.1175/1520-0493(1995)123<0515:IOTFEE>2.0.CO;2
   Bugenings LA, 2022, J BUILD ENG, V49, DOI 10.1016/j.jobe.2022.104026
   Buildings Performance Institute Europe (BPIE), 2012, STAT BUILD STOCK BRI, P1
   Buildings Performance Institute Europe (BPIE), 2011, EUR BUILD MICR COUNT, P1
   Cebecauer T, 2015, ENRGY PROCED, V69, P1958, DOI 10.1016/j.egypro.2015.03.195
   Chan ALS, 2009, ENERG BUILDINGS, V41, P1135, DOI 10.1016/j.enbuild.2009.05.012
   de Gracia A, 2015, ENERG BUILDINGS, V91, P37, DOI 10.1016/j.enbuild.2015.01.011
   Ding WT, 2005, ENERG BUILDINGS, V37, P411, DOI 10.1016/j.enbuild.2004.08.002
   Eurostat-OECD, 2019, European green deal, P1, DOI [10.2797/958988, DOI 10.2797/958988]
   Farda A, 2010, STUD GEOPHYS GEOD, V54, P313, DOI 10.1007/s11200-010-0017-7
   Gaillard L, 2014, SOL ENERGY, V103, P223, DOI 10.1016/j.solener.2014.02.018
   Germano N., 2020, MATH MODEL ENG PROBL, V7, P515, DOI [10.18280/mmep.070402, DOI 10.18280/MMEP.070402]
   Giorgi F., 2019, WORLD METEOROL ORGAN, V58, P175
   Gontikaki M., 2010, P 10 INT C ENH BUILD
   Gratia E, 2007, ENERG BUILDINGS, V39, P364, DOI 10.1016/j.enbuild.2006.09.001
   Heimrath R., 2005, BESTFACADE BEST PRAC, V1, P151
   Huth R, 2003, STUD GEOPHYS GEOD, V47, P863, DOI 10.1023/A:1026351004242
   Jankovic A, 2022, ENERG BUILDINGS, V263, DOI 10.1016/j.enbuild.2022.112024
   Jayathissa P, 2017, APPL ENERG, V202, P726, DOI 10.1016/j.apenergy.2017.05.083
   Joe J.W., 2011, P BUILDING SIMULATIO
   Johny A.E., 2018, International Journal of Environment and Sustainability, V7, P88, DOI [10.24102/ijes.v7i2.915, DOI 10.24102/IJES.V7I2.915]
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Khabir S, 2023, ARCHIT ENG DES MANAG, V19, P642, DOI 10.1080/17452007.2022.2147898
   Kim D, 2018, J BUILD ENG, V20, P411, DOI 10.1016/j.jobe.2018.08.012
   Labo S., 2019, THESIS U BERGAMO BER
   Lops C., 2021, MATH MODEL ENG PROBL, V8, P837, DOI [10.18280/mmep.080601, DOI 10.18280/MMEP.080601]
   Lucchino EC, 2022, BUILD ENVIRON, V226, DOI 10.1016/j.buildenv.2022.109704
   Lucchino EC, 2021, BUILD ENVIRON, V199, DOI 10.1016/j.buildenv.2021.107906
   Luo YQ, 2017, APPL ENERG, V199, P281, DOI 10.1016/j.apenergy.2017.05.026
   Matour S, 2022, J BUILD ENG, V62, DOI 10.1016/j.jobe.2022.105323
   Mazzarella L, 2015, ENERG BUILDINGS, V95, P23, DOI 10.1016/j.enbuild.2014.10.073
   Montelpare S, 2019, J PHYS CONF SER, V1224, DOI 10.1088/1742-6596/1224/1/012022
   Moon KS, 2011, PROCEDIA ENGINEER, V14, P1351, DOI 10.1016/j.proeng.2011.07.170
   Moreno A, 2019, ENERGIES, V12, DOI 10.3390/en12101870
   Oh M, 2019, ENERGIES, V12, DOI 10.3390/en12193679
   Passoni C., 2017, P 16 WORLD C EARTHQ
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Poirazis H., 2006, DOUBLE SKIN FACADES, P1
   Ricci R, 2015, INT J LOW-CARBON TEC, V10, P420, DOI 10.1093/ijlct/ctu016
   Sarihi S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102525
   Scuderi G., 2016, THESIS UNIV TRENTO
   Sethi M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab99ff
   Stec WJ, 2005, ENERG BUILDINGS, V37, P419, DOI 10.1016/j.enbuild.2004.08.008
   Takeuchi T., 2006, IABSE S REP, V92, P33, DOI [10.2749/222137806796185526, DOI 10.2749/222137806796185526]
   UN Environment and International Energy Agency, 2017, ZERO EMISSION EFFICI, P1
   Uuttu S., 2001, Study of Current Structures in Double-Skin Facades
   Zhai ZQ, 2002, BUILD ENVIRON, V37, P857, DOI 10.1016/S0360-1323(02)00054-9
   Zhang R., 2017, THESIS UNIV NEW HAMP
NR 59
TC 2
Z9 2
U1 5
U2 7
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 JUL
PY 2023
VL 13
IS 13
AR 7629
DI 10.3390/app13137629
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 M5VN4
UT WOS:001030894100001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Ogura, S
   Forwell, SJ
AF Ogura, Saori
   Forwell, Susan J.
TI Responsibility as humans: meaning of traditional small grains
   cultivation in Japan
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE biodiversity; Japan; meaning; millet; occupational science; reciprocal
   relationship; shifting cultivation; traditional ecological knowledge
ID OCCUPATION; EXPERIENCE; RICE
AB Small grains are a group of ancient grains that have been cultivated in different parts of the world for thousands of years, have high nutritional value, are resistant to drought, play a key role in agricultural resilience, and are adaptive to climate change. Of emerging concern globally, however, is that several varieties of small grains and related agricultural knowledge and practices are disappearing owing to the promotion and efficiency of industrial farming methods, agricultural intensification, and marked shifts in generational commitment to small grains cultivation and changing relationships with the land. This case study presents the findings of an in-depth ethnography of a farmer in Shiiba Village, Japan, who grows local varieties of small grains using traditional shifting cultivation methods. Explored in this study is the meaning of small grains cultivation and benefits and significance of this practice for a farmer and the implications for society and the environment. Four themes related to meaning emerged from this case study: (a) small grains cultivation is a source of life across generations; (b) harmony: restoring the forest and co-existing with wild animals; (c) collaboration and revitalization of the local community; (d) a way of life. As a result of the meaning of the practice and his commitment to ensure the survival of small grains cultivation, a potential pathway is introduced involving collective responsibility and the contribution to the health of humans and the ecosystems.
C1 [Ogura, Saori; Forwell, Susan J.] Univ British Columbia, Dept Occupat Sci & Occupat Therapy, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia
RP Ogura, S (corresponding author), Univ British Columbia, Dept Occupat Sci & Occupat Therapy, Vancouver, BC V6T 1Z4, Canada.
RI Ogura, Saori/HPE-8095-2023
CR [Anonymous], CONSERV BIOL, V18, P621, DOI [10.1111/j.1523-1739.2004.00077.x, DOI 10.1111/J.1523-1739.2004.00077.X]
   Berkes F., 1995, Biodi-versity Conservation, P269, DOI [10.1007/978-94-011, DOI 10.1007/978-94-011, 10.1007/978-94-011-0277-3_15]
   Bobowski B, 2023, ECOL SOC, V28, DOI 10.5751/ES-13788-280125
   Borona G. K., 2017, DISSERTATION
   Brockington Dan., 2002, FORTRESS CONSERVATIO
   Cajete G, 2018, NEW DIRECTION SUSTAI, P15
   Center for Ecological Education, 2020, REP BIOD SHIFT CULT
   Comberti C, 2015, GLOBAL ENVIRON CHANG, V34, P247, DOI 10.1016/j.gloenvcha.2015.07.007
   da Costa ALB, 2016, J OCCUP SCI, V23, P196, DOI 10.1080/14427591.2016.1162191
   Dang K, 2021, LANDSLIDES, V18, P3485, DOI 10.1007/s10346-021-01729-y
   Dickie V, 2006, J OCCUP SCI, V13, P83, DOI 10.1080/14427591.2006.9686573
   Diver S, 2019, INT J COMMONS, V13, P400, DOI 10.18352/ijc.881
   FAO, 2022, GLOBALLY IMPORTANT A
   Hannam D., 1997, Journal of Occupational Science, V4, P69, DOI DOI 10.1080/14427591.1997.9686423
   Harrison A. K, 2018, Ethnography, DOI [10.1093/oso/9780199371785.001.0001, DOI 10.1093/OSO/9780199371785.001.0001]
   Hinterthuer A., 2017, CSA NEWS, V62, P4, DOI [10.2134/csa2017.62.0412, DOI 10.2134/CSA2017.62.0412]
   Hocking C., 2000, J OCCUP SCI, V7, P58, DOI 10.1080/14427591.2000.9686466
   Hocking C, 2009, J OCCUP SCI, V16, P140, DOI 10.1080/14427591.2009.9686655
   Huntington HP, 2000, ECOL APPL, V10, P1270, DOI 10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2
   Ito J., 2012, MOTION PICTURE
   Kamada M., 2017, LANDSCAPE ECOLOGY SU, P87, DOI [10.1007/978-3-319-74328-8_6, DOI 10.1007/978-3-319-74328-8_6, 10.1007/978-3-319-74328-86]
   Kimmerer RW, 2018, NEW DIRECTION SUSTAI, P27
   KLEINMAN PJA, 1995, AGR ECOSYST ENVIRON, V52, P235, DOI 10.1016/0167-8809(94)00531-I
   Knecht P, 2007, ASIAN FOLKLORE STUD, V66, P5
   Masuda S, 2001, SOCIAL HIST GRAINS
   Nasu H, 2016, QUATERN INT, V397, P504, DOI 10.1016/j.quaint.2015.06.043
   Nelson MK, 2018, NEW DIRECTION SUSTAI, P250
   Norgrove L, 2016, CURR FOR REP, V2, P62, DOI 10.1007/s40725-016-0032-1
   Ogura S., 2017, Langscape Magazine, V6, P37
   Ogura S., 2015, THESIS
   Ortiz S, 2018, NEW DIRECTION SUSTAI, P85
   Otani H, 2016, SATOYAMA COME BACK L
   Reyes SRC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145656
   Sasaki K, 1972, Swidden agriculture in Japan: The regional comparative study [In Japanese]
   Shiiba Village, 2022, OVERVIEW SHIIBA VILL
   Shiiba Y., 2010, Bulletin of the Kyushu University Forest, V91
   Shoda S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-35227-4
   Simaan J, 2017, J OCCUP SCI, V24, P510, DOI 10.1080/14427591.2017.1378119
   Stevens S., 2014, Indigenous Peoples, National Parks, and Protected Areas: A New Paradigm Linking Conservation, Culture, and Rights
   Sun W., 2019, ADZUKI BEAN SOYBEAN
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tanaka M., 2004, J WEED SCI TECHNOL, V49
   Tsuji K., 2020, PEOPLE CULTURE OCEAN, V36, P27
   Whyte K, 2018, NEW DIRECTION SUSTAI, P57
   Wilcock A.A., 1998, OCCUPATIONAL PERSPEC
   Yerxa E J, 1990, Occup Ther Health Care, V6, P1, DOI 10.1080/J003v06n04_04
NR 46
TC 3
Z9 3
U1 0
U2 5
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD FEB
PY 2023
VL 28
IS 1
AR 27
DI 10.5751/ES-13798-280127
PG 10
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 9D3YT
UT WOS:000936037000002
OA gold
DA 2025-01-10
ER

PT J
AU Konnov, A
   Khmelnitskaya, Y
   Dugina, M
   Borzenko, T
   Tysiachniouk, MS
AF Konnov, Arsenii
   Khmelnitskaya, Yana
   Dugina, Maria
   Borzenko, Tatiana
   Tysiachniouk, Maria S.
TI Traditional Livelihood, Unstable Environment: Adaptation of Traditional
   Fishing and Reindeer Herding to Environmental Change in the Russian
   Arctic
SO SUSTAINABILITY
LA English
DT Article
DE reindeer herding; fishermen; Russian Arctic; resilience; actor-network
   theory; climate change; Indigenous peoples
ID CLIMATE-CHANGE; INDIGENOUS PEOPLES; RESILIENCE; COMMUNITIES; KNOWLEDGE;
   LIFE
AB The effects of climate change are much more pronounced in the Arctic region than in other places around the world. This paper highlights the practices of adaptation to climate change by Indigenous reindeer herders, e.g., Saami and Komi-Izhemtsy, and Pomor fishermen, in the Russian Arctic. Our major research question is: How does the interplay of social and environmental factors determine traditional reindeer herding and fishing in the Russian North in the context of climate change, including seasonal changes? A qualitative methodology was used in both reindeer herding and fishing communities using the same interview guide. As an analytical lens, we chose resilience theory combined with the actor-network theory. Resilience theory allows us to situate the adaptive capacity of reindeer herders and fisherman within a constantly changing context. The actor-network theory offers a non-human-centered framework which allows the reconstruction of the networks that emerge in the context of adaptation and link humans, material objects, and the living environment. We found that the traditional economic activity of reindeer herders and fishermen is significantly affected by socio-economic and environmental factors. Both reindeer herders and fishermen manage to adapt to the changing environment using local knowledge and different kinds of technical tools. However, socio-economic conditions and accelerating climate change put the resilience of Indigenous communities at risk.
C1 [Tysiachniouk, Maria S.] Univ Eastern Finland, Dept Geog & Hist Studies, Yliopistokatu 7, Joensuu 80100, Finland.
C3 University of Eastern Finland
EM konnov.arsene@gmail.com
RI Tysiachniouk, Maria/Y-8418-2019
OI Tysiachniouk, Maria/0000-0002-0754-6829
FU European Union [ENI/2018/404144]; Kone Foundation [202005986]
FX Research for this article was sponsored by the European Union (grant no.
   ENI/2018/404144) and by the Kone Foundation project ("Diversities of the
   environmental movement in Russia", No. 202005986).
CR Afanasyev A. Yu, 2018, BIBLIOTEKA KRIMINALI, V3, P28
   [Anonymous], 2021, COMMUNICATION 0421
   [Anonymous], 2021, COMMUNICATION   0413
   [Anonymous], 2021, Van Riper to ZweibelsonSeptember 20
   [Anonymous], 2021, COMMUNICATION   0420
   [Anonymous], 2021, COMMUNICATION   0929
   [Anonymous], 2021, COMMUNICATION   0414
   [Anonymous], 2021, COMMUNICATION 0419
   [Anonymous], 2021, Letter from Am. Econ. Liberties Project to Lina Khan, Chair, FTC
   Berteaux D, 2004, INTEGR COMP BIOL, V44, P140, DOI 10.1093/icb/44.2.140
   Bogdanova E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052561
   Bulgakova T, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P83, DOI 10.1007/978-90-481-9174-1_4
   Callaghan TV, 2020, AMBIO, V49, P1161, DOI 10.1007/s13280-019-01277-9
   CALLON M, 1986, SOCIOL RE MONOGR, P196, DOI 10.1111/j.1467-954X.1984.tb00113.x
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Crépin AS, 2017, AMBIO, V46, P341, DOI 10.1007/s13280-017-0953-3
   Cressman D., 2009, BRIEF OVERVIEW ACTOR
   Davidson SC, 2020, SCIENCE, V370, P712, DOI 10.1126/science.abb7080
   Dwiartama A, 2014, ECOL SOC, V19, DOI 10.5751/ES-06805-190328
   Filant K.G., 2021, REV INT GEOGR ED ONL, V11, P2879, DOI 10.48047/rigeo.11.09.255
   Forbes BC, 2013, ECOL SOC, V18, DOI 10.5751/ES-05791-180436
   Forbes BC, 2009, P NATL ACAD SCI USA, V106, P22041, DOI 10.1073/pnas.0908286106
   Ford JD, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.735
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Fossheim M, 2015, NAT CLIM CHANGE, V5, P673, DOI 10.1038/NCLIMATE2647
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Henry LA, 2016, EUROPE-ASIA STUD, V68, P1340, DOI 10.1080/09668136.2016.1233523
   Honneland G, 2010, PALGR STUD INT RELAT, P20
   Johansen H, 2013, POLAR GEOGR, V36, P271, DOI 10.1080/1088937X.2013.788577
   Kalitin R. R., 2021, Rossiiskaia Arktika, V15, P28, DOI [10.24412/2658-4255-2021-4-28-39, DOI 10.24412/2658-4255-2021-4-28-39]
   Konstantinov Y., 2005, ACTA BOREAL, V22, P170, DOI [10.1080/08003830500370168, DOI 10.1080/08003830500370168]
   Konstantinov Y, 2010, ACTA BOREAL, V27, P44, DOI 10.1080/08003831.2010.486925
   Konstantinov Y, 2006, NOMAD PEOPLES, V10, P166, DOI 10.3167/nP.2006.100210
   Konstantinov Yulian, 2015, Conversations with power: Soviet and post-soviet developments in the reindeer husbandry part of the Kola Peninsula, DOI DOI 10.1080/08003839608580453
   Kvale S., 2008, International Review of Qualitative Research, V1, P5, DOI DOI 10.1525/IRQR.2008.1.1.5
   Latour B., 1994, Science in Action: How to Follow Scientists and Engineers through Society, V3, P29
   Latour Bruno, 2007, REASSEMBLING SOCIAL, DOI DOI 10.1017/CBO9781107415324.004
   Law J, 2013, QUAL SOCIOL, V36, P485, DOI 10.1007/s11133-013-9263-7
   Lichtman M., 2013, QUALITATIVE RES SOCI
   Lyons C, 2016, MAR POLICY, V74, P288, DOI 10.1016/j.marpol.2016.05.006
   Maksimov A.A., 2019, IZVESTIYA KOMI NAUCH, V4, P110
   Martello ML, 2008, SOC STUD SCI, V38, P351, DOI 10.1177/0306312707083665
   Mohajan Haradhan Kumar, 2018, Journal of Economic Development. Environment and People, V1, P23, DOI [10.26458/jedep.v7i1.571, 10.26458/jedepx/1.571, DOI 10.26458/JEDEPX/1.571, DOI 10.26458/JEDEP.V7I1.571]
   Mukhachev A.D., 1982, OSNOVY OLENEVODSTVA
   Mustonen T, 2021, POLAR BIOL, V44, P173, DOI 10.1007/s00300-020-02790-4
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nuttall M., 2005, Protecting the Arctic: Indigenous peoples and cultural survival
   Nuttall M., 2007, ARCTIC ALPINE ECOSYS, P19, DOI [DOI 10.1007/978-3-540-48514-8_2, 10.1007/978-3-540-48514-8_2]
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Preiser R, 2018, ECOL SOC, V23, DOI 10.5751/ES-10558-230446
   Pristupa AO, 2019, SOC NATUR RESOUR, V32, P338, DOI 10.1080/08941920.2018.1505012
   Pyzhova A., 2011, THESIS U TROMSO TROM
   Ronson A, 2011, NORTH REV, P95
   Shabaev YP, 2016, SIBIRICA, V15, P73, DOI 10.3167/sib.2016.150203
   Sillitoe P, 2006, ANTHROPOL ACTION, V13, P1, DOI 10.3167/aia.2006.130302
   Stone-Jovicich S, 2015, ECOL SOC, V20, DOI 10.5751/ES-07347-200225
   Storozhenko O.M., 2021, TECHNOL TRENDS KNOWL, P614
   Stroeve J, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029703
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tsosie Rebecca., 2007, U COLORADO LAW REV, V78, P1625, DOI DOI 10.3868/S050-004-015-0003-8
   Tysiachniouk M.S., 2014, REINDEER OIL CLIMATE, P337
   Vasiliev A.M., FISHING IND MURMANSK
   Vincent WF, 2020, PALGRAVE HANDBOOK OF ARCTIC POLICY AND POLITICS, P507, DOI 10.1007/978-3-030-20557-7_31
   Vladimirovich Z.V., 2021, REG EC MANAG ELECT S, V4, P6812
   Yin R. K., 2009, CASE STUDY RES DESIG
   YIN RK, 1994, EVAL PRACT, V15, P283, DOI 10.1016/0886-1633(94)90023-X
   Zimmerman ErikaM., 2005, NYU ENV LJ, V13, P803
NR 68
TC 3
Z9 3
U1 4
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2022
VL 14
IS 19
AR 12640
DI 10.3390/su141912640
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 5H0FH
UT WOS:000867363000001
OA gold
DA 2025-01-10
ER

PT J
AU Leakey, RRB
AF Leakey, Roger R. B.
TI A re-boot of tropical agriculture benefits food production, rural
   economies, health, social justice and the environment
SO NATURE FOOD
LA English
DT Article
ID SUSTAINABLE AGRICULTURE; TREES
AB Environmental degradation, loss of biodiversity and climate change threaten the stability of our planet. Inappropriate approaches to food production interact with hunger, malnutrition and extreme poverty, especially in the tropics and sub-tropics. These approaches, in turn, enhance social deprivation and limit rural development, both of which are drivers of economic migration and civil conflict. Exacerbated by population growth, food systems lie at the heart of these global issues. Here, a planet-proofing approach developed in Africa is presented that illustrates that it is possible to diversify and rehabilitate degraded farmland with species producing highly nutritious and marketable traditional foods in ways that improve food production by conventional staple food crops. Furthermore, it rebuilds agroecological functions and creates new local business opportunities to kick-start rural economies and enhance social well-being. Together, these benefits promote livelihoods and social justice, the mitigation of and/or adaptation to climate change, and the provision of wildlife habitat. This approach offers a highly adaptable model that enhances past investments in the Green Revolution in ways that address both the environmental and social constraints limiting both mainstream agriculture in Africa - and the achievement of the Sustainable Development Goals globally.
   Rehabilitation of degraded farmlands can have diverse benefits for sustainability, supporting rural livelihoods, economies, society and culture, as well as contributing to food security. A long-established agroforestry programme in Cameroon illustrates these benefits.
C1 [Leakey, Roger R. B.] Int Tree Fdn, Oxford, England.
RP Leakey, RRB (corresponding author), Int Tree Fdn, Oxford, England.
EM rogerleakey@btinternet.com
CR [Anonymous], WAKE IT IS TOO LATE
   [Anonymous], 1994, FEEDING GREENING WOR
   [Anonymous], 2019, IPBES
   [Anonymous], 2017, AGRI FOOD SECUR, V6, P20, DOI [10.1186/s40066-017-0097-5, DOI 10.1186/S40066-017-0097-5]
   [Anonymous], 2009, Agriculture at a Crossroads: Global Report
   [Anonymous], 1970, COMMUNICATION
   [Anonymous], 2014, ENCY AGR FOOD SYSTEM, DOI DOI 10.1016/B978-0-444-52512-3.00019-X
   [Anonymous], 2018, GLOBAL REPORT FOOD C
   Asaah EK, 2011, INT J AGR SUSTAIN, V9, P110, DOI 10.3763/ijas.2010.0553
   Avila-Bello CH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103496
   Beckmann M, 2019, GLOBAL CHANGE BIOL, V25, P1941, DOI 10.1111/gcb.14606
   Benedikter R., 2018, Challenge, V61, P465, DOI [10.1080/05775132.2018.1545437, DOI 10.1080/05775132.2018.1545437]
   Bennett EM, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-016-0018
   Blaikie P.M., 2015, LAND DEGRADATION SOC, DOI DOI 10.4324/9781315685366
   Coelli TJ, 2005, AGR ECON-BLACKWELL, V32, P115, DOI 10.1111/j.0169-5150.2004.00018.x
   Degrande A., 2014, Forests, Trees and Livelihoods, V23, P102
   Degrande A, 2015, GFRAS Good Practice Notes for Extension and Advisory Services Note 10
   Franzel S., 1996, ISNAR Research Report 8
   Godfray HCJ, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0273
   Leakey R., 2009, IMPACTS AKST DEV SUS
   Leakey R. R. B., 2019, Agroforestry for sustainable agriculture, P275
   Leakey RRB, 2017, MULTIFUNCTIONAL AGRICULTURE: ACHIEVING SUSTAINABLE DEVELOPMENT IN AFRICA
   Leakey R.R. B., 2017, The Scientific Pages of Crop Science, V1, P20
   LEAKEY R.R.B., 2014, PERENNIAL CROPS FOOD, P282
   Leakey R. R. B, 2014, ENCY AGR FOOD SYSTEM, V1
   Leakey RRB, 2019, PLANTA, V250, P949, DOI 10.1007/s00425-019-03128-z
   Leakey RRB, 2018, FOOD SECUR, V10, P505, DOI 10.1007/s12571-018-0796-1
   Leakey RRB, 2014, ANNU REV PHYTOPATHOL, V52, P113, DOI 10.1146/annurev-phyto-102313-045838
   Paul M, 2018, J PEASANT STUD, V45, P757, DOI 10.1080/03066150.2016.1278365
   Peduzzi P, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11040957
   Rockström J, 2020, NAT FOOD, V1, P3, DOI 10.1038/s43016-019-0010-4
   Rose DC, 2019, LAND USE POLICY, V81, P834, DOI 10.1016/j.landusepol.2018.11.001
   Sadiddin A, 2019, FOOD SECUR, V11, P515, DOI 10.1007/s12571-019-00927-w
   Sanchez PA, 2002, SCIENCE, V295, P2019, DOI 10.1126/science.1065256
   Sánchez-Bayo F, 2019, BIOL CONSERV, V232, P8, DOI 10.1016/j.biocon.2019.01.020
   Sebastian K., 2014, Atlas of African Agriculture Research Development: Revealing Agriculture's Place in Africa
   Sileshi G.W., 2014, Encyclopedia of Agriculture and Food Systems, P222, DOI [DOI 10.1016/B978-0-444-52512-3.00022-X, 10.1016/B978-0-444-52512-3.00022-X]
   Tchoundjeu Z., 2006, Forests, Trees and Livelihoods, V16, P53
   Tchoundjeu Z., 2010, Forests, Trees and Livelihoods, V19, P219, DOI DOI 10.1080/14728028.2010.9752668
   The Royal Society, 2009, REAP BEN SCI SUST IN
   Tiffin R, 2006, AGR ECON-BLACKWELL, V35, P79, DOI 10.1111/j.1574-0862.2006.00141.x
   Zakaria H., 2018, J Agric Extension, V2, P165
   Zimmerer KS, 2019, ANTHROPOCENE, V25, DOI 10.1016/j.ancene.2019.100192
NR 43
TC 48
Z9 50
U1 5
U2 35
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2662-1355
J9 NAT FOOD
JI Nat. Food
PD MAY
PY 2020
VL 1
IS 5
BP 260
EP 265
DI 10.1038/s43016-020-0076-z
PG 6
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA PF2FW
UT WOS:000598877400013
DA 2025-01-10
ER

PT J
AU Welling, J
   Abegg, B
AF Welling, Johannes
   Abegg, Bruno
TI Following the ice: adaptation processes of glacier tour operators in
   Southeast Iceland
SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
LA English
DT Article
DE Adaptation; Climate change; Glacier tourism; Iceland; Tour operators;
   Adaptation; Decision-making
ID CLIMATE-CHANGE; PROTECTED AREAS; FRAMEWORK; SUSTAINABILITY;
   VULNERABILITY; PERCEPTIONS; RESILIENCE; MANAGEMENT; SERVICES; BARRIERS
AB The growing recognition that global climatic change is a pressing reality and that its impacts on humans and ecological systems are inevitable makes adaptation a core topic in climate change research and policymaking. The glacier tourism sector that is highly sensitive towards changing climatic conditions is among the most relevant in this respect. This study aims to examine empirically how adaptation to climate change impacts is practiced by small- and middle-scale glacier tour operators. Data was collected by means of a set of semi-structured interviews with the managers or owners of nine small- or middle-scale tour companies operating in the Vatnajokull National Park in Southeast Iceland and observations of glacier sites where the respondents' companies are operating. The results indicate that all entrepreneurs consider climate change to be a real phenomenon that affects their present daily operations, but they perceive these implications not as significant threats to their business. The interaction of operator's attributes of agency such as firsthand experiences, risk perceptions, and abilities to self-organize, with structural elements of the glacier destination system such as economic rationales and hazard reduction institutions, has shaped and consolidated operators' adaptation processes in the form of a wait-and-see strategy combined with ad hoc reactive adaptation measures and postponed or prevented proactive long-term adaptation strategies.
C1 [Welling, Johannes] Haskoli Isl, Reykjavik, Iceland.
   [Abegg, Bruno] Univ St Gallen, Res Ctr Tourism & Transport, Inst Syst Management & Publ Governance, Dufourstr 40a, CH-9000 St Gallen, Switzerland.
C3 University of Iceland; University of St Gallen
RP Welling, J (corresponding author), Haskoli Isl, Reykjavik, Iceland.
EM h_welling@hi.is
OI Welling, Johannes/0000-0002-2541-5574
FU Icelandic Tourism Research Centre; Friends of Vatnajokull
FX This research received financial support from the Icelandic Tourism
   Research Centre, the Friends of Vatnajokull, and the Hornafjorour
   Research Centre.
CR Abegg B, 2017, TOURISM AND RESILIENCE, P105, DOI 10.1079/9781780648330.0105
   [Anonymous], NUMB FOR VIS
   Aoalgeirsdóttir G, 2011, CRYOSPHERE, V5, P961, DOI 10.5194/tc-5-961-2011
   ARNASON T, 2019, WINTER TOURISM
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Bazerman MH, 2006, CLIMATIC CHANGE, V77, P179, DOI 10.1007/s10584-006-9058-x
   Becken Susanne., 2012, Climate Change and Tourism: From Policy to Practice
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Brandolini P, 2010, Mapping Geoheritage, V35, P31
   Chapin FS, 2006, P NATL ACAD SCI USA, V103, P16637, DOI 10.1073/pnas.0606955103
   Daft RL., 2014, Organization Theory Design, V3
   Einarsson B, 2017, JOKULL, V67, P65
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   Espiner S, 2014, J SUSTAIN TOUR, V22, P646, DOI 10.1080/09669582.2013.855222
   Evans LS, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150575
   Furunes T, 2012, SCAND J HOSP TOUR, V12, P324, DOI 10.1080/15022250.2012.748507
   Gasbarro F, 2016, CORP SOC RESP ENV MA, V23, P179, DOI 10.1002/csr.1374
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Groulx M, 2017, J ENVIRON PLANN MAN, V60, P1016, DOI 10.1080/09640568.2016.1192024
   Haanpää S, 2015, CURR ISSUES TOUR, V18, P966, DOI 10.1080/13683500.2014.892917
   Hannesdottir H, 2017, HORFANDI JOKLAR MELT
   Hoffmann VH, 2009, GLOBAL ENVIRON CHANG, V19, P256, DOI 10.1016/j.gloenvcha.2008.12.002
   Hogarth JR, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030228
   Huijbens E., 2014, Scandinavian Journal of Public Administration, V18, P63, DOI DOI 10.58235/SJPA.V18I1.15703
   *IC TOUR BOARD, 2016, LIST IC TOUR OP TRAV
   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
   Job H, 2017, J SUSTAIN TOUR, V25, P1697, DOI 10.1080/09669582.2017.1377432
   Jopp R, 2010, CURR ISSUES TOUR, V13, P591, DOI 10.1080/13683501003653379
   Kaján E, 2013, CURR ISSUES TOUR, V16, P167, DOI 10.1080/13683500.2013.774323
   Landauer M, 2018, SCAND J HOSP TOUR, V18, pS75, DOI 10.1080/15022250.2017.1340540
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Marx S.M., 2012, CLIMATE CHANGE GREAT, P13
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nelson R. R., 1985, EVOL THEOR
   Palomo I, 2017, MT RES DEV, V37, P179, DOI 10.1659/MRD-JOURNAL-D-16-00110.1
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   PETURSSON JG, 2016, DEV ICELANDS PROTECT, V22
   PORHALLSDOTTIR G, 2018, FJOLDI GESTA VATNAJO
   Purdie H, 2015, NEW ZEAL GEOGR, V71, P189, DOI 10.1111/nzg.12091
   Purdie H, 2013, MT RES DEV, V33, P463, DOI 10.1659/MRD-JOURNAL-D-12-00073.1
   Reed MS, 2013, J ENVIRON MANAGE, V128, P345, DOI 10.1016/j.jenvman.2013.05.016
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Ritter F, 2012, MT RES DEV, V32, P4, DOI 10.1659/MRD-JOURNAL-D-11-00036.1
   Saarinen J, 2006, INT J INNOV SUSTAIN, V1, P214, DOI 10.1504/IJISD.2006.012423
   Scott D, 2007, TOURISM MANAGE, V28, P570, DOI 10.1016/j.tourman.2006.04.020
   Scott D, 2012, WIRES CLIM CHANGE, V3, P213, DOI 10.1002/wcc.165
   Selten R, 2001, DAHL WS ENV, P13
   Slocum SL, 2017, J SUSTAIN TOUR, V25, P1848, DOI 10.1080/09669582.2016.1260574
   Smiraglia C., 2008, DARKENING PEAKS GLAC
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Steiger R, 2019, CURR ISSUES TOUR, V22, P1343, DOI 10.1080/13683500.2017.1410110
   Stewart EJ, 2016, TOURISM GEOGR, V18, P377, DOI 10.1080/14616688.2016.1198416
   Teece DJ, 1997, STRATEGIC MANAGE J, V18, P509, DOI 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Tervo-Kankare K, 2019, CURR ISSUES TOUR, V22, P1380, DOI 10.1080/13683500.2018.1439457
   Tervo-Kankare K, 2011, TOUR PLAN DEV, V8, P399, DOI 10.1080/21568316.2011.598180
   Trawöger L, 2014, TOURISM MANAGE, V40, P338, DOI 10.1016/j.tourman.2013.07.010
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   Van Well L, 2018, INT J DISAST RISK RE, V31, P1283, DOI 10.1016/j.ijdrr.2018.01.005
   *VATN NAT PARK, 2013, STJORN VERND TLUN VA
   Vaughan DG, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P317
   WEINSTEIN ND, 1980, J PERS SOC PSYCHOL, V39, P806, DOI 10.1037/0022-3514.39.5.806
   Welling J., 2016, Mountain tourism: experiences, communities, environments and sustainable futures, P174, DOI 10.1079/9781780644608.0174
   Welling JT, 2015, TOURISM GEOGR, V17, P635, DOI 10.1080/14616688.2015.1084529
   WILSON J, 2012, IMPACT CLIMATE VARIA
   Wilson Jude., 2014, Last Chance Tourism at the Franz Josef and Fox Glaciers, Westland Tai Poutini National Park: A Survey of Visitor Experience
   Winn MI, 2011, BUS STRATEG ENVIRON, V20, P157, DOI 10.1002/bse.679
   Wyss R, 2013, Journal of Alpine Research, P101, DOI [10.4000/rga.1880, DOI 10.4000/RGA.1880]
NR 73
TC 20
Z9 22
U1 0
U2 28
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0020-7128
EI 1432-1254
J9 INT J BIOMETEOROL
JI Int. J. Biometeorol.
PD MAY
PY 2021
VL 65
IS 5
SI SI
BP 703
EP 715
DI 10.1007/s00484-019-01779-x
EA NOV 2019
PG 13
WC Biophysics; Environmental Sciences; Meteorology & Atmospheric Sciences;
   Physiology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biophysics; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences; Physiology
GA SB0WZ
UT WOS:000495940200002
PM 31720854
DA 2025-01-10
ER

PT J
AU Souissi, I
   Boisson, JM
   Mekki, I
   Therond, O
   Flichman, G
   Wery, J
   Belhouchette, H
AF Souissi, Imen
   Boisson, Jean Marie
   Mekki, Insaf
   Therond, Olivier
   Flichman, Guillermo
   Wery, Jacques
   Belhouchette, Hatem
TI Impact assessment of climate change on farming systems in the South
   Mediterranean area: a Tunisian case study
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Resilience; Farming system; Quantitative indicator assessment; Modelling
   chain
ID INTEGRATED ASSESSMENT; AGRICULTURAL SYSTEMS; CROP YIELD; RESILIENCE;
   MODEL; SUSTAINABILITY; AGROECOSYSTEMS; MANAGEMENT; SIMULATION; POLICY
AB This study considers a quantitative approach for assessing the performance of Tunisian farming systems to face climate change. It is based on the resilience concept and the calculation, with a modelling chain, of three indicators: land stock, labour stock, and income flux. Two system states, "base" and "climate change", and a time horizon of 2010-2025, are developed and compared for representative farming systems. The study shows that 55% of the farming systems were identified as being resilient to climate change. They are diversified and mostly grow cereals, vegetables, and forage crops combined with livestock, increasing their capability to mitigate climate change by reorganizing crop activities. 35% of the farms identified as being non-resilient are dominated by orchards, or cereals and orchards. They showed an important drop in farm income (-45%), mainly due to their inability to adapt their cropping systems to water stress and soil salinity. Finally, only 10% were identified as being poorly resilient farming systems. Those farms have mainly intensified cereal cropping systems based on a strategy of purchasing land to increase the surface area of profitable activities (forage and livestock). Overall, the methodology can be adapted for other dry land areas in the Mediterranean region and help experts and policy-makers to propose and test strategies for adapting to climate change.
C1 [Souissi, Imen; Flichman, Guillermo; Belhouchette, Hatem] IAMM, CIHEAM, 3191 Route Mende, F-34093 Montpellier, France.
   [Souissi, Imen] INSTM, Ctr Goulette, Port De Peche 2060, La Goulette, Tunisia.
   [Boisson, Jean Marie] Univ Montpellier I, LAMETA, UMR5474, F-34000 Montpellier, France.
   [Mekki, Insaf] INRGREF, BP 10, Ariana 2080, Tunisia.
   [Therond, Olivier] Univ Lorraine, INRA, UMR LAE, F-68021 Colmar, France.
   [Therond, Olivier] INP Toulouse, UMR 1248, AGIR, BP 52627, F-31326 Castanet Tolosan, France.
   [Wery, Jacques] SupAgro Montpellier, UMR Syst, Bat 27,2 Pl Viala, F-34060 Montpellier 2, France.
   [Belhouchette, Hatem] IAMM, CIHEAM, UMR Syst, Bat 27,2 Pl Viala, F-34060 Montpellier 2, France.
C3 Universite de Montpellier; CIHEAM; CIHEAM IAM Montpellier; Institut
   National des Sciences et Technologies de la Mer; Institut Agro;
   Montpellier SupAgro; Centre National de la Recherche Scientifique
   (CNRS); Universite de Montpellier; CNRS - Institute for Humanities &
   Social Sciences (INSHS); Universite de Carthage; INRAE; Universite de
   Lorraine; Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite
   de Toulouse; Institut National Polytechnique de Toulouse; Institut Agro;
   Montpellier SupAgro
RP Souissi, I (corresponding author), IAMM, CIHEAM, 3191 Route Mende, F-34093 Montpellier, France.; Souissi, I (corresponding author), INSTM, Ctr Goulette, Port De Peche 2060, La Goulette, Tunisia.
EM souissimen@yahoo.fr
RI ; Belhouchette, Hatem/W-9549-2018
OI Mekki, Insaf/0000-0001-8140-1268; Belhouchette,
   Hatem/0000-0002-4498-0392; Imen, SOUISSI/0000-0003-4514-166X
CR Abbes K, 2005, THESIS
   Alexandrov VA, 2000, AGR FOREST METEOROL, V104, P315, DOI 10.1016/S0168-1923(00)00166-0
   Allen R.G., 1998, FAO Irrig. Drain. Pap., V56, P300, DOI DOI 10.1016/S0141-1187(05)80058-6
   Anderies JM, 2006, ECOSYSTEMS, V9, P865, DOI 10.1007/s10021-006-0017-1
   Bachta MS, 2011, CIHEAM NOTES ANAL CI
   Barbier B, 1999, AGR SYST, V60, P1, DOI 10.1016/S0308-521X(99)00015-3
   Belhouchette H, 2012, COMPUT ELECTRON AGR, V86, P100, DOI 10.1016/j.compag.2012.02.016
   Belhouchette H, 2004, THESIS
   Boussard JM, 1997, EC RURAL, DOI [10.3406/ecoru.1997.4865, DOI 10.3406/ECORU.1997.4865]
   Brisson N, 2003, EUR J AGRON, V18, P309, DOI 10.1016/S1161-0301(02)00110-7
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Clarke D., 1998, CROPWAT WINDOWS USER
   Dahan R., 2012, 2 ICARDA USAID
   Darnhofer I, 2008, 8 EUR IFSA S EMP RUR
   Donatelli M, 2010, ENVIRONMENTAL AND AGRICULTURAL MODELLING: INTEGRATED APPROACHES FOR POLICY IMPACT ASSESSMENT, P63, DOI 10.1007/978-90-481-3619-3_4
   Enfors EI, 2007, LAND DEGRAD DEV, V18, P680, DOI 10.1002/ldr.807
   Ewert F, 2005, 1 SEAMLESS
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Giller KE, 2011, AGR SYST, V104, P191, DOI 10.1016/j.agsy.2010.07.002
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Havet A, 2014, AGR ECOSYST ENVIRON, V190, P120, DOI 10.1016/j.agee.2014.01.009
   Hazell P.B.R., 1986, Mathematical Programming for Economic Analysis in Agriculture
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jacquet F, 1997, AGR SYST, V53, P387, DOI 10.1016/0308-521X(95)00076-H
   Janssen S, 2007, AGR SYST, V94, P622, DOI 10.1016/j.agsy.2007.03.001
   Kaine GW, 2005, AGR SYST, V83, P27, DOI 10.1016/j.agsy.2004.03.001
   Kandulu JM, 2012, ECOL ECON, V79, P105, DOI 10.1016/j.ecolecon.2012.04.025
   Kassam A, 2014, INT SOIL WATER CONSE, V2, P5, DOI 10.1016/S2095-6339(15)30009-5
   Ksib Z, 2013, MEMOIRE
   Lallau B., 2009, Revue d'Etudes en Agriculture et Environnement, P79
   Landais E, 1998, AGR SYST, V58, P505, DOI 10.1016/S0308-521X(98)00065-1
   Louhichi K, 2008, 109 EAAE SEM CAP FIS
   Luers AL, 2003, GLOBAL ENVIRON CHANG, V13, P255, DOI 10.1016/S0959-3780(03)00054-2
   Mansour Mohsen., 2014, Emerging Technologies and Management of Crop Stress Tolerance, V2, P485, DOI DOI 10.1016/B978-0-12-800875-1.00021-1
   MARH Ministere Tunisien de l'Agriculture et des Ressources Hydrauliques GTZ, 2007, MARH CAHIER
   McCown RL, 1996, AGR SYST, V50, P255, DOI 10.1016/0308-521X(94)00055-V
   Ministere tunisien de l'environnement et GIZ, 2012, STRAT NAT CHANG CLIM
   Muradian R, 2001, ECOL ECON, V38, P7, DOI 10.1016/S0921-8009(01)00146-X
   Parsonson-Ensor C, 2011, NZ AGR RES EC SOC C
   Perrings C, 2000, ENVIRON RESOUR ECON, V16, P185, DOI 10.1023/A:1008374222463
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Reidsma P, 2009, AGR SYST, V100, P51, DOI 10.1016/j.agsy.2008.12.009
   Rivington M, 2007, ENVIRON MODELL SOFTW, V22, P202, DOI 10.1016/j.envsoft.2005.07.018
   Roozitalab MH, 2013, ELEMENTS RES STRATEG
   Ross AM, 2008, SYST ENG, V11, P246, DOI 10.1002/sys.20098
   Souissi I., 2013, Clim. Vulnerability, V2, P89, DOI [10.1016/B978-0-12-384703-4.00221-5, DOI 10.1016/B978-0-12-384703-4.00221-5]
   Stöckle CO, 2003, EUR J AGRON, V18, P289, DOI 10.1016/S1161-0301(02)00109-0
   van Ittersum MK, 2008, AGR SYST, V96, P150, DOI 10.1016/j.agsy.2007.07.009
   Waithaka MM, 2006, AGR SYST, V90, P243, DOI 10.1016/j.agsy.2005.12.007
   Walker B., 2004, Ecology and Society, V9, P5
   Walker BH, 2007, ECOL ECON, V61, P708, DOI 10.1016/j.ecolecon.2006.04.010
   Walker B, 2006, ECOL SOC, V11
   Wam HK, 2005, FOREST ECOL MANAG, V206, P207, DOI 10.1016/j.foreco.2004.10.062
   Wright, 1984, WGEN MODEL GENERATIN
   Zhou JB, 2011, FIELD CROP RES, V122, P157, DOI 10.1016/j.fcr.2011.03.009
NR 56
TC 14
Z9 14
U1 0
U2 14
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD MAR
PY 2018
VL 18
IS 3
BP 637
EP 650
DI 10.1007/s10113-017-1130-8
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GA5OA
UT WOS:000428382200003
DA 2025-01-10
ER

PT J
AU Toimil, A
   Losada, IJ
   Díaz-Simal, P
   Izaguirre, C
   Camus, P
AF Toimil, Alexandra
   Losada, Inigo J.
   Diaz-Simal, Pedro
   Izaguirre, Cristina
   Camus, Paula
TI Multi-sectoral, high-resolution assessment of climate change
   consequences of coastal flooding
SO CLIMATIC CHANGE
LA English
DT Article
ID RISK; REANALYSIS; SCENARIOS
AB In the context of growing concern about the threat of flooding posed by climate change in coastal areas, the Spanish plan for coastal adaptation to climate change gave rise to stringent requirements on risk consequence estimates at the regional scale O (100 km). Within this framework, we propose a methodology that combines high space-time resolution climate information (reanalysis databases and projections), local data on exposure that accounts for the most relevant sectors, site-specific vulnerability functions, and flood risk consequence valuation, gridded at 5 m. This approach involves efficient multiple-forcing flood modeling, in which the connection between climate change and potential inundation is primarily established through the definition of a total water level index. This research tackles challenging issues, including the importance of incorporating the effects of existing coastal defenses and local wave effects in port areas, dealing with data at different spatial scales and sectors in an integrated way, and the impact of discounting. The results provide insights into the possible consequences of inaction for a range of future scenarios based on changes in climate and socio-economics over the most relevant sectors. With the goal of prioritizing adaptive action and the efficient assignment of funds, we propose a weight-based integration of the sectoral value-at-risk through the application of Bayesian techniques and expert judgment. The methodology described here was applied to a pilot case study on the coast of Asturias in northern Spain.
C1 [Toimil, Alexandra; Losada, Inigo J.; Diaz-Simal, Pedro; Izaguirre, Cristina; Camus, Paula] Univ Cantabria, Environm Hydraul Inst IH Cantabria, Parque Cient & Tecnol Cantabria, Santander 39011, Cantabria, Spain.
C3 Universidad de Cantabria; IHCantabria - Instituto de Hidraulica
   Ambiental de la Universidad de Cantabria
RP Losada, IJ (corresponding author), Univ Cantabria, Environm Hydraul Inst IH Cantabria, Parque Cient & Tecnol Cantabria, Santander 39011, Cantabria, Spain.
EM losadai@unican.es
RI Losada, Iñigo/F-9001-2012; Izaguirre, Cristina/K-9038-2014; Toimil,
   Alexandra/AAS-9897-2020; Diaz-Simal, Pedro/P-5873-2015; Camus,
   Paula/K-9153-2014
OI Diaz-Simal, Pedro/0000-0002-8645-952X; Toimil Silva,
   Alexandra/0000-0002-2067-872X; Izaguirre, Cristina/0000-0002-1730-0400;
   Camus, Paula/0000-0002-8957-307X
FU Spanish Ministry of Agriculture and Fishery, Food and Environment
   (MAPAMA)
FX This work has been supported by the Spanish Ministry of Agriculture and
   Fishery, Food and Environment (MAPAMA). The authors would like to
   acknowledge the technical assistance and data provided by the Government
   of Asturias. The authors are also grateful to the climate modeling
   groups for producing and making their model outputs from CMIP5
   available.
CR [Anonymous], MULT LOSS EST METH F
   [Anonymous], DOC PROGR MSP ESP
   [Anonymous], 2013, SEA LEVEL CHANGE
   [Anonymous], NAT COMMUN
   Camus P, 2014, J GEOPHYS RES-OCEANS, V119, P7389, DOI 10.1002/2014JC010141
   Camus P, 2013, COAST ENG, V72, P56, DOI 10.1016/j.coastaleng.2012.09.002
   Chang FL, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012304
   Cid A, 2014, CLIM DYNAM, V43, P2167, DOI 10.1007/s00382-013-2041-0
   Dawson RJ, 2009, CLIMATIC CHANGE, V95, P249, DOI 10.1007/s10584-008-9532-8
   EGBERT GD, 1994, J GEOPHYS RES-OCEANS, V99, P24821, DOI 10.1029/94JC01894
   Gallina V, 2016, J ENVIRON MANAGE, V168, P123, DOI 10.1016/j.jenvman.2015.11.011
   Gouldby B, 2008, P I CIVIL ENG-WAT M, V161, P169, DOI 10.1680/wama.2008.161.3.169
   Hall JW, 2005, NAT HAZARDS, V36, P147, DOI 10.1007/s11069-004-4546-7
   Harley MD, 2013, COAST ENG, V77, P77, DOI 10.1016/j.coastaleng.2013.02.006
   Heberger M, 2011, CLIMATIC CHANGE, V109, P229, DOI 10.1007/s10584-011-0308-1
   Jamieson SR, 2012, P I CIVIL ENG-WAT M, V165, P581, DOI 10.1680/wama.12.00021
   Menéndez M, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005997
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Mokrech M, 2008, CLIMATIC CHANGE, V90, P31, DOI 10.1007/s10584-008-9449-2
   Muis S, 2015, SCI TOTAL ENVIRON, V538, P445, DOI 10.1016/j.scitotenv.2015.08.068
   Portney P., 1999, DISCOUNTING INTERGEN
   Reguero BG, 2012, COAST ENG, V65, P38, DOI 10.1016/j.coastaleng.2012.03.003
   Reguero BG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133409
   Slangen ABA, 2014, CLIMATIC CHANGE, V124, P317, DOI 10.1007/s10584-014-1080-9
   Stern N, 2007, SCIENCE, V317, P203, DOI 10.1126/science.1142920
   Stockdon HF, 2006, COAST ENG, V53, P573, DOI 10.1016/j.coastaleng.2005.12.005
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Ward PJ, 2015, NAT CLIM CHANGE, V5, P712, DOI 10.1038/nclimate2742
   Wind HG, 1999, WATER RESOUR RES, V35, P3459, DOI 10.1029/1999WR900192
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 30
TC 23
Z9 25
U1 3
U2 20
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2017
VL 145
IS 3-4
BP 431
EP 444
DI 10.1007/s10584-017-2104-z
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FO7MP
UT WOS:000417060100012
DA 2025-01-10
ER

PT J
AU Junker, LV
   Kleiber, A
   Jansen, K
   Wildhagen, H
   Hess, M
   Kayler, Z
   Kammerer, B
   Schnitzler, JP
   Kreuzwieser, J
   Gessler, A
   Ensminger, I
AF Junker, Laura Verena
   Kleiber, Anita
   Jansen, Kirstin
   Wildhagen, Henning
   Hess, Moritz
   Kayler, Zachary
   Kammerer, Bernd
   Schnitzler, Joerg-Peter
   Kreuzwieser, Juergen
   Gessler, Arthur
   Ensminger, Ingo
TI Variation in short-term and long-term responses of photosynthesis and
   isoprenoid-mediated photoprotection to soil water availability in four
   Douglas-fir provenances
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CARBON-ISOTOPE DISCRIMINATION; VOLATILE ORGANIC-COMPOUNDS;
   PSEUDOTSUGA-MENZIESII; DROUGHT STRESS; CHLOROPHYLL FLUORESCENCE;
   CAROTENOID OXIDATION; SOLAR-RADIATION; USE EFFICIENCY; GAS-EXCHANGE;
   HIGH-LIGHT
AB For long-lived forest tree species, the understanding of intraspecific variation among populations and their response to water availability can reveal their ability to cope with and adapt to climate change. Dissipation of excess excitation energy, mediated by photoprotective isoprenoids, is an important defense mechanism against drought and high light when photosynthesis is hampered. We used 50-year-old Douglas-fir trees of four provenances at two common garden experiments to characterize provenance-specific variation in photosynthesis and photoprotective mechanisms mediated by essential and non-essential isoprenoids in response to soil water availability and solar radiation. All provenances revealed uniform photoprotective responses to high solar radiation, including increased de-epoxidation of photoprotective xanthophyll cycle pigments and enhanced emission of volatile monoterpenes. In contrast, we observed differences between provenances in response to drought, where provenances sustaining higher CO2 assimilation rates also revealed increased water-use efficiency, carotenoid-chlorophyll ratios, pools of xanthophyll cycle pigments, beta-carotene and stored monoterpenes. Our results demonstrate that local adaptation to contrasting habitats affected chlorophyll-carotenoid ratios, pool sizes of photoprotective xanthophylls, beta-carotene, and stored volatile isoprenoids. We conclude that intraspecific variation in isoprenoid-mediated photoprotective mechanisms contributes to the adaptive potential of Douglas-fir provenances to climate change.
C1 [Junker, Laura Verena; Hess, Moritz; Ensminger, Ingo] Univ Toronto, Dept Biol, Grad Program Cell & Syst Biol, 3359 Mississauga Rd, Mississauga, ON, Canada.
   [Junker, Laura Verena; Hess, Moritz; Ensminger, Ingo] Univ Toronto, Dept Biol, Grad Program Ecol & Evolutionary Biol, 3359 Mississauga Rd, Mississauga, ON, Canada.
   [Junker, Laura Verena; Wildhagen, Henning; Hess, Moritz; Ensminger, Ingo] Forstliche Versuchs & Forsch Anstalt Baden Wurtt, Wonnhaldestr 4, D-79100 Freiburg, Germany.
   [Junker, Laura Verena] Forschungszentrum Julich, Plant Sci, Inst Bio & Geosci IBG 2, Julich, Germany.
   [Kleiber, Anita; Kreuzwieser, Juergen] Albert Ludwigs Univ Freiburg, Inst Forest Sci, Chair Tree Physiol, Georges Kohler Allee 53, D-79110 Freiburg, Germany.
   [Jansen, Kirstin; Kayler, Zachary; Gessler, Arthur] Leibniz Ctr Agr Landscape Res ZALF, Inst Landscape Biogeochem, Eberswalderstr 84, D-15374 Muncheberg, Germany.
   [Jansen, Kirstin] Leuphana Univ Luneburg, Inst Ecol, Scharnhorststr 1, D-21335 Luneburg, Germany.
   [Wildhagen, Henning] HAWK Univ Appl Sci & Arts Hildesheim Holzminden G, Fac Resource Management, Busgenweg 1A, D-37077 Gottingen, Germany.
   [Hess, Moritz] Albert Ludwigs Univ Freiburg, Fac Biol, Inst Biol 3, Schanzlestr 1, D-79104 Freiburg, Germany.
   [Kayler, Zachary] US Forest Serv, USDA, Northern Res Stn, Lawrence Livermore Natl Lab, Livermore, CA 94550 USA.
   [Kammerer, Bernd] Albert Ludwigs Univ Freiburg, Ctr Biosyst Anal ZBSA, Habsburgerstr 49, D-79104 Freiburg, Germany.
   [Schnitzler, Joerg-Peter] Helmholtz Zentrum Munchen, Inst Biochem Plant Pathol, Res Unit Environm Simulat, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany.
   [Gessler, Arthur] Berlin Brandenburg Inst Adv Biodivers Res BBIB, D-14195 Berlin, Germany.
   [Gessler, Arthur] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
C3 University of Toronto; University Toronto Mississauga; University of
   Toronto; University Toronto Mississauga; Helmholtz Association; Research
   Center Julich; University of Freiburg; Leibniz Association; Leibniz
   Zentrum fur Agrarlandschaftsforschung (ZALF); Leuphana University
   Luneburg; HAWK University of Applied Sciences & Arts Hildesheim
   Holzminden Gottingen; University of Freiburg; United States Department
   of Energy (DOE); Lawrence Livermore National Laboratory; United States
   Department of Agriculture (USDA); United States Forest Service;
   University of Freiburg; Helmholtz Association; Helmholtz-Center Munich -
   German Research Center for Environmental Health; Swiss Federal
   Institutes of Technology Domain; Swiss Federal Institute for Forest,
   Snow & Landscape Research
RP Ensminger, I (corresponding author), Univ Toronto, Dept Biol, Grad Program Cell & Syst Biol, 3359 Mississauga Rd, Mississauga, ON, Canada.; Ensminger, I (corresponding author), Univ Toronto, Dept Biol, Grad Program Ecol & Evolutionary Biol, 3359 Mississauga Rd, Mississauga, ON, Canada.; Ensminger, I (corresponding author), Forstliche Versuchs & Forsch Anstalt Baden Wurtt, Wonnhaldestr 4, D-79100 Freiburg, Germany.
EM ingo.ensminger@utoronto.ca
RI Gessler, Arthur/C-7121-2008; Wildhagen, Henning/I-1276-2019; Kammerer,
   Bernd/E-7646-2013; Ensminger, Ingo/D-8566-2012; Schnitzler,
   Joerg-Peter/C-5268-2011
OI Jansen, Kirstin/0000-0003-0832-9225; Kayler,
   Zachary/0000-0003-0090-7537; Wildhagen, Henning/0000-0003-4970-8539;
   Ensminger, Ingo/0000-0001-9014-2499; Schnitzler,
   Joerg-Peter/0000-0002-9825-867X
FU German Science Foundation (DFG) [EN829/5-1, KR 2010/4-1, GE1090/7-1];
   Forest Research Institute of the German State Baden-Wurttemberg (FVA);
   National Science and Engineering Research Council of Canada (NSERC)
FX The study was financially supported by the German Science Foundation
   (DFG, grants EN829/5-1, KR 2010/4-1, GE1090/7-1), the Forest Research
   Institute of the German State Baden-Wurttemberg (FVA), and the National
   Science and Engineering Research Council of Canada (NSERC).
CR Adams WW, 2013, PHOTOSYNTH RES, V117, P31, DOI 10.1007/s11120-013-9849-7
   Aitken S. N., 1995, Forest Genetics, V2, P199
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2013, BIOL CONTROLS MODELS
   [Anonymous], 2014, R package version 1.1-12
   Bailey JD, 2006, TREE PHYSIOL, V26, P421, DOI 10.1093/treephys/26.4.421
   Bakirci K, 2009, RENEW SUST ENERG REV, V13, P2580, DOI 10.1016/j.rser.2009.07.011
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P947, DOI 10.1111/gcb.12719
   Baquedano FJ, 2006, TREES-STRUCT FUNCT, V20, P689, DOI 10.1007/s00468-006-0084-0
   Baroli I, 2000, PHILOS T R SOC B, V355, P1385, DOI 10.1098/rstb.2000.0700
   Beisel KG, 2010, PLANT PHYSIOL, V152, P2188, DOI 10.1104/pp.109.151647
   Bögelein R, 2012, PLANT CELL ENVIRON, V35, P1245, DOI 10.1111/j.1365-3040.2012.02486.x
   Brandes E, 2006, GLOBAL CHANGE BIOL, V12, P1922, DOI 10.1111/j.1365-2486.2006.01205.x
   Brodribb TJ, 2014, P NATL ACAD SCI USA, V111, P14489, DOI 10.1073/pnas.1407930111
   Chaves MM, 2002, ANN BOT-LONDON, V89, P907, DOI 10.1093/aob/mcf105
   Constable JVH, 1999, GLOB CHANGE BIOL, V5, P255
   Croce R, 2014, NAT CHEM BIOL, V10, P492, DOI [10.1038/NCHEMBIO.1555, 10.1038/nchembio.1555]
   Demmig-Adams B, 2006, NEW PHYTOL, V172, P11, DOI 10.1111/j.1469-8137.2006.01835.x
   Duan BL, 2005, PHYSIOL PLANTARUM, V124, P476, DOI 10.1111/j.1399-3054.2005.00535.x
   Eilmann B, 2013, FOREST ECOL MANAG, V302, P133, DOI 10.1016/j.foreco.2013.03.031
   Ensminger I, 2004, GLOBAL CHANGE BIOL, V10, P995, DOI 10.1111/j.1365-2486.2004.00781.x
   Esteban R, 2015, NEW PHYTOL, V206, P268, DOI 10.1111/nph.13186
   Faria T, 1998, PHYSIOL PLANTARUM, V102, P419, DOI 10.1034/j.1399-3054.1998.1020310.x
   FARQUHAR GD, 1989, ANNU REV PLANT PHYS, V40, P503, DOI 10.1146/annurev.pp.40.060189.002443
   FARQUHAR GD, 1982, AUST J PLANT PHYSIOL, V9, P121, DOI 10.1071/PP9820121
   Fréchette E, 2015, J EXP BOT, V66, P7309, DOI 10.1093/jxb/erv427
   Gallé A, 2007, NEW PHYTOL, V174, P799, DOI 10.1111/j.1469-8137.2007.02047.x
   Gessler A, 2009, NEW PHYTOL, V181, P374, DOI 10.1111/j.1469-8137.2008.02672.x
   Ghirardo A, 2010, PLANT CELL ENVIRON, V33, P781, DOI 10.1111/j.1365-3040.2009.02104.x
   Havaux M, 2014, PLANT J, V79, P597, DOI 10.1111/tpj.12386
   Jansen K, 2013, TREES-STRUCT FUNCT, V27, P37, DOI 10.1007/s00468-012-0765-9
   Peguero-Pina JJ, 2009, FUNCT PLANT BIOL, V36, P453, DOI 10.1071/FP08297
   Joó É, 2011, ATMOS ENVIRON, V45, P3655, DOI 10.1016/j.atmosenv.2011.04.048
   Junker LV, 2016, TREE PHYSIOL, V36, P694, DOI 10.1093/treephys/tpv148
   Kavanagh KL, 1999, TREE PHYSIOL, V19, P31
   Keitel C, 2003, PLANT CELL ENVIRON, V26, P1157, DOI 10.1046/j.1365-3040.2003.01040.x
   Keitel C, 2006, PLANT CELL ENVIRON, V29, P1492, DOI 10.1111/j.1365-3040.2006.01520.x
   KENK G, 1984, ALLG FORST JAGDZTG, V155, P165
   Kenk G., 2004, Berichte Freiburger Forstliche Forschung, V54, P79
   Kesselmeier J, 1999, J ATMOS CHEM, V33, P23, DOI 10.1023/A:1006127516791
   Kleinschmit J., 1973, Forst- und Holzwirt, V28, P209
   KORNER C, 1991, OECOLOGIA, V88, P30, DOI 10.1007/BF00328400
   Krutovsky KV, 2005, GENETICS, V171, P2029, DOI 10.1534/genetics.105.044420
   Lenth R.V., 2014, lsmeans: Least-squares means
   Levin I, 1997, RADIOCARBON, V39, P205, DOI 10.1017/S0033822200052012
   Litvak ME, 1998, OECOLOGIA, V114, P531, DOI 10.1007/s004420050477
   Loreto F, 2010, TRENDS PLANT SCI, V15, P154, DOI 10.1016/j.tplants.2009.12.006
   Loreto F, 2009, TRENDS PLANT SCI, V14, P416, DOI 10.1016/j.tplants.2009.06.003
   Maxwell K, 2000, J EXP BOT, V51, P659, DOI 10.1093/jexbot/51.345.659
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   Menzel A, 2003, INT J CLIMATOL, V23, P793, DOI 10.1002/joc.915
   Monclus R, 2006, NEW PHYTOL, V169, P765, DOI 10.1111/j.1469-8137.2005.01630.x
   Neophytou C, 2016, EUR J FOREST RES, V135, P465, DOI 10.1007/s10342-016-0946-y
   Niyogi KK, 2000, CURR OPIN PLANT BIOL, V3, P455, DOI 10.1016/S1369-5266(00)00113-8
   OSORIO J, 1994, TREE PHYSIOL, V14, P871, DOI 10.1093/treephys/14.7-8-9.871
   Owen SM, 2005, TRENDS PLANT SCI, V10, P420, DOI 10.1016/j.tplants.2005.07.010
   Owen SM, 2013, ACTA PHYSIOL PLANT, V35, P3109, DOI 10.1007/s11738-013-1344-4
   Peñuelas J, 2005, TRENDS PLANT SCI, V10, P166, DOI 10.1016/j.tplants.2005.02.005
   Pogson BJ, 1998, P NATL ACAD SCI USA, V95, P13324, DOI 10.1073/pnas.95.22.13324
   Poulson ME, 2002, TREE PHYSIOL, V22, P829, DOI 10.1093/treephys/22.12.829
   Quero JL, 2006, NEW PHYTOL, V170, P819, DOI 10.1111/j.1469-8137.2006.01713.x
   R Development Core Team, 2010, R 2. 12. 1
   Ramel F, 2013, J EXP BOT, V64, P799, DOI 10.1093/jxb/ers223
   Ripullone F, 2009, TREES-STRUCT FUNCT, V23, P823, DOI 10.1007/s00468-009-0323-2
   Ruehr NK, 2009, NEW PHYTOL, V184, P950, DOI 10.1111/j.1469-8137.2009.03044.x
   Ryan AC, 2014, NEW PHYTOL, V201, P205, DOI 10.1111/nph.12477
   Sade N, 2012, PLANT SIGNAL BEHAV, V7, P767, DOI 10.4161/psb.20505
   SCHOLANDER PF, 1965, SCIENCE, V148, P339, DOI 10.1126/science.148.3668.339
   Sergent AS, 2014, ANN FOREST SCI, V71, P709, DOI 10.1007/s13595-014-0393-1
   Simpraga M, 2011, ATMOS ENVIRON, V45, P5254, DOI 10.1016/j.atmosenv.2011.06.075
   Snow MD, 2003, PHYSIOL PLANTARUM, V117, P352, DOI 10.1034/j.1399-3054.2003.00035.x
   Telfer A, 2005, PHOTOCH PHOTOBIO SCI, V4, P950, DOI 10.1039/b507888c
   Trnka M, 2005, AGR FOREST METEOROL, V131, P54, DOI 10.1016/j.agrformet.2005.05.002
   Vickers CE, 2009, NAT CHEM BIOL, V5, P283, DOI 10.1038/nchembio.158
   Welter S, 2012, TREE PHYSIOL, V32, P1082, DOI 10.1093/treephys/tps069
   WMO, 2008, GUID MET INSTR METH
   ZHANG JW, 1995, FUNCT ECOL, V9, P402, DOI 10.2307/2390003
NR 77
TC 15
Z9 20
U1 0
U2 45
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JAN 10
PY 2017
VL 7
AR 40145
DI 10.1038/srep40145
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EI1IV
UT WOS:000392231300001
PM 28071755
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kim, SH
   Hejazi, M
   Liu, L
   Calvin, K
   Clarke, L
   Edmonds, J
   Kyle, P
   Patel, P
   Wise, M
   Davies, E
AF Kim, Son H.
   Hejazi, Mohamad
   Liu, Lu
   Calvin, Katherine
   Clarke, Leon
   Edmonds, Jae
   Kyle, Page
   Patel, Pralit
   Wise, Marshall
   Davies, Evan
TI Balancing global water availability and use at basin scale in an
   integrated assessment model
SO CLIMATIC CHANGE
LA English
DT Article
ID SHARED SOCIOECONOMIC PATHWAYS; SCARCITY; PATTERNS
AB Water is essential for the world's food supply, for energy production, including bioenergy and hydroelectric power, and for power system cooling. Water is already scarce in many regions of the world and could present a critical constraint as society attempts simultaneously to mitigate climate forcing and adapt to climate change, and to provide for a larger and more prosperous human population. Numerous studies have pointed to growing pressures on the world's scarce fresh water resources from population and economic growth, and climate change. This study goes further. We use the Global Change Assessment Model to analyze interactions between population, economic growth, energy, land, and water resources simultaneously in a dynamically evolving system where competing claims on water resources from all claimants-energy, land, and economy-are reconciled with water resource availability-from renewable water, non-renewable groundwater and desalinated water sources-across 14 geopolitical regions, 151 agriculture-ecological zones, and 235 major river basins. We find that previous estimates of global water withdrawal projections are overestimated. Model simulations show that it is more economical in some basins to alter agricultural and energy activities rather than utilize non-renewable groundwater or desalinated water. This study highlights the importance of accounting for water as a binding factor in agriculture, energy and land use decisions in integrated assessment models and implications for global responses to water scarcity, particularly in the trade of agricultural commodities and land-use decisions.
C1 [Kim, Son H.; Hejazi, Mohamad; Liu, Lu; Calvin, Katherine; Clarke, Leon; Edmonds, Jae; Kyle, Page; Patel, Pralit; Wise, Marshall] Joint Global Res Inst, Pacific NW Natl Lab, 5825 Univ Res Court,Suite 3500, College Pk, MD 20740 USA.
   [Davies, Evan] Univ Alberta, Edmonton, AB T6G 1H9, Canada.
C3 United States Department of Energy (DOE); Pacific Northwest National
   Laboratory; University of Alberta
RP Kim, SH (corresponding author), Joint Global Res Inst, Pacific NW Natl Lab, 5825 Univ Res Court,Suite 3500, College Pk, MD 20740 USA.
EM skim@pnnl.gov
RI Kim, Son/AAA-2728-2020; Calvin, Katherine/ADF-2443-2022; Clarke,
   Leon/R-5307-2016; Kyle, Page/AFP-3602-2022; Davies, Evan/A-3379-2008;
   Liu, Lu/J-4551-2015
OI Davies, Evan/0000-0003-0536-333X; Kyle, Page/0000-0002-1257-8358; Liu,
   Lu/0000-0002-4939-5432
FU Office of Science of the U.S. Department of Energy through the
   Integrated Assessment Research Program; DOE [DE-AC05-76RL01830]
FX This research was supported by the Office of Science of the U.S.
   Department of Energy through the Integrated Assessment Research Program.
   PNNL is operated for DOE by Battelle Memorial Institute under contract
   DE-AC05-76RL01830.
CR [Anonymous], 2000, GLOBAL COMPOSITE RUN
   [Anonymous], 2015, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-013-9497-4
   [Anonymous], 55 U E ANGL TYND CTR
   Beck HE, 2013, WATER RESOUR RES, V49, P7843, DOI 10.1002/2013WR013918
   Berndes G, 2002, GLOBAL ENVIRON CHANG, V12, P253, DOI 10.1016/S0959-3780(02)00040-7
   Blanc E, 2014, EARTHS FUTURE, V2
   Bonsch M, 2016, GCB BIOENERGY, V8, P11, DOI 10.1111/gcbb.12226
   Calvin K, 2015, GCAM WIKI DOCUMENTAT
   CLARKE JF, 1993, ENERG ECON, V15, P123, DOI 10.1016/0140-9883(93)90031-L
   Damerau K, 2015, CLIMATIC CHANGE, V130, P171, DOI 10.1007/s10584-015-1345-y
   Davies EGR, 2013, ADV WATER RESOUR, V52, P296, DOI 10.1016/j.advwatres.2012.11.020
   DEFFEYES KS, 1980, SCI AM, V242, P66, DOI 10.1038/scientificamerican0180-66
   Dennehy KF, 2002, GEOL SOC SPEC PUBL, V193, P99, DOI 10.1144/GSL.SP.2002.193.01.09
   Fan Y, 2013, SCIENCE, V339, P940, DOI 10.1126/science.1229881
   Gerten D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034032
   Goodess CM., 2003, Integrated Assessment, V4, P145
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2393, DOI 10.5194/hess-17-2393-2013
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2375, DOI 10.5194/hess-17-2375-2013
   Hejazi MI, 2014, HYDROL EARTH SYST SC, V18, P2859, DOI 10.5194/hess-18-2859-2014
   Hejazi M, 2014, TECHNOL FORECAST SOC, V81, P205, DOI 10.1016/j.techfore.2013.05.006
   Hejazi M, 2013, HYDROLOG SCI J, V58, P519, DOI 10.1080/02626667.2013.772301
   Konikow LF, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048604
   Konikow LF, 2005, HYDROGEOL J, V13, P317, DOI 10.1007/s10040-004-0411-8
   Kyle P, 2013, INT J GREENH GAS CON, V13, P112, DOI 10.1016/j.ijggc.2012.12.006
   Lehner B, 2011, FRONT ECOL ENV
   Popp A, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034017
   Postel SL, 1996, SCIENCE, V271, P785, DOI 10.1126/science.271.5250.785
   Raskin P., 1997, COMPREHENSIVE ASSESS, DOI DOI 10.5194/hess-19-4581-2015
   Rost S, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006331
   Saglam Y, 2013, WATER RESOUR RES, V49, P7864, DOI 10.1002/2013WR013921
   Shah T., 2000, GLOBAL GROUNDWATER S
   Stehfest E., 2014, Integrated Assessment of Global Environmental Change with Image 3.0. Model Description and Policy Applications
   Strzepek K, 2013, J ADV MODEL EARTH SY, V5, P638, DOI 10.1002/jame.20044
   Tobler Waldo., 1995, The global demography project
   van Vuuren DP, 2012, GLOBAL ENVIRON CHANG, V22, P21, DOI 10.1016/j.gloenvcha.2011.08.002
   Voisin N, 2013, HYDROL EARTH SYST SC, V17, P4555, DOI 10.5194/hess-17-4555-2013
   Voisin N, 2013, HYDROL EARTH SYST SC, V17, P3605, DOI 10.5194/hess-17-3605-2013
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009792
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Wang JX, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014035
   [Wangnick GWI], 2005, WORLDW DES PLANTS IN
   Wise M, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500031
   Wise M, 2009, SCIENCE, V324, P1183, DOI 10.1126/science.1168475
   Zhou Y, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003749
NR 45
TC 72
Z9 79
U1 4
U2 49
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAY
PY 2016
VL 136
IS 2
BP 217
EP 231
DI 10.1007/s10584-016-1604-6
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DL5NG
UT WOS:000375683200005
DA 2025-01-10
ER

PT S
AU Nelson, DR
   de Souza, FD
   Finan, TJ
   Ferreira, S
AF Nelson, Donald R.
   de Souza Filho, Francisco de Assis
   Finan, Timothy J.
   Ferreira, Susana
BE Sakai, S
   Umetsu, C
TI Trajectories of Adaptation: A Retrospectus for Future Dynamics
SO SOCIAL-ECOLOGICAL SYSTEMS IN TRANSITION
SE Global Environmental Studies
LA English
DT Article; Book Chapter
DE Adaptive capacity; Drought index; Dryland farming; Governance; Rainfall
   variability; Scenarios
ID CLIMATE-CHANGE; RESILIENCE; SCENARIO
AB Sustainable adaptation to climate change needs to be assessed beyond the present time and location to include the way that current forms of adaptation might influence future response options. An analysis of past dynamics of adaptation, what we call "trajectories," might hold the key to understanding how the adaptive outcomes of past responses to climate stress constrain or open avenues to future adaptation. Adaptation research often focuses on particular actions, technologies, or institutions which may positively influence these relationships in order to build resilience and reduce vulnerability. However, relationships are complex and often behave in unexpected ways. There is no simple cause and effect, but rather actions are modified and transmitted through a web of linkages and feedbacks that are both physical and social. This complexity challenges our ability to predict the outcome of particular actions and there remain gaps in the understanding of system interactions that would permit a more accurate assessment of future development trajectories. The work presented here is an analysis of change in the climate vulnerability of dryland farmers in Northeast Brazil over four decades. The analytical framework, which links biophysical characteristics with a socio-economic context and indicators, permits an analysis that captures the dynamic relationship of adaptive capacities and consequent changes in vulnerability. The analysis of trajectories provides a foundation for future assumptions about human behavior and the relationship with the environment.
C1 [Nelson, Donald R.] Univ Georgia, Dept Anthropol, Athens, GA 30602 USA.
   [de Souza Filho, Francisco de Assis] Univ Fed Ceara, Dept Hydrol & Environm Engn, Fortaleza, Ceara, Brazil.
   [Finan, Timothy J.] Univ Arizona, Bur Appl Res Anthropol, Tucson, AZ USA.
   [Ferreira, Susana] Univ Georgia, Dept Agr & Appl Econ, Athens, GA 30602 USA.
C3 University System of Georgia; University of Georgia; Universidade
   Federal do Ceara; University of Arizona; University System of Georgia;
   University of Georgia
RP Nelson, DR (corresponding author), Univ Georgia, Dept Anthropol, Athens, GA 30602 USA.
EM dnelson@uga.edu
RI Nelson, Donald/C-3225-2014; de Assis Souza Filho,
   Francisco/AAV-8783-2020
OI Souza Filho, Francisco de Assis/0000-0001-5989-1731
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Colombi BJ, 2012, ECOL SOC, V17, DOI 10.5751/ES-05242-170413
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Doorenbos J., 1979, YIELD RESPONSE WATER
   Enfors EI, 2008, ECOL SOC, V13
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Finan TJ, 2001, CLIMATE RES, V19, P97, DOI 10.3354/cr019097
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frota GPd, 1985, DOCUMENTACAO ORAL TE
   Gotham KF, 2011, ECOL SOC, V16, DOI 10.5751/ES-04292-160312
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Rostow W.W, 1990, The stages of economic growth: a non-communist manifesto, Vthird
   Scheffer M., 2009, Critical Transitions in Nature and Society
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Thompson JR, 2012, BIOSCIENCE, V62, P367, DOI 10.1525/bio.2012.62.4.8
   Walker B., 2004, Ecology and Society, V9, P5
   World Bank, 2005, STRATEGY STIMULATE B
NR 21
TC 6
Z9 6
U1 1
U2 9
PU SPRINGER-VERLAG TOKYO
PI TOKYO
PA 37-3, HONGO 3-CHOME BONKYO-KU, TOKYO, 113, JAPAN
SN 2192-6336
BN 978-4-431-54910-9; 978-4-431-54909-3
J9 GLOB ENVIRON STUD
PY 2014
BP 121
EP 136
DI 10.1007/978-4-431-54910-9_7
D2 10.1007/978-4-431-54910-9
PG 16
WC Ecology; Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BC2GY
UT WOS:000350900300008
DA 2025-01-10
ER

PT C
AU Zoran, MA
   Savastru, RS
   Savastru, DM
   Tautan, MN
   Baschir, LA
AF Zoran, Maria A.
   Savastru, Roxana S.
   Savastru, Dan M.
   Tautan, Marina N.
   Baschir, Laurentiu A.
BE Michel, U
   Schulz, K
   Ehlers, M
   Nikolakopoulos, KG
   Civco, DL
TI Analysis of urbanization and climate change impacts on the urban thermal
   environment based on MODIS satellite data
SO EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS V
SE Proceedings of SPIE
LA English
DT Proceedings Paper
CT Conference on Earth Resources and Environmental Remote Sensing/GIS
   Applications V
CY SEP 23-25, 2014
CL Amsterdam, NETHERLANDS
SP SPIE
DE satellite remote sensing; Land Surface Temperature; urban thermal
   environment; Urban Heat Island; urbanization and climate impacts;
   Bucharest; Romania
ID VALIDATION
AB Cities are exposed more and more to climate change from greenhouse gas induced radiative forcing, and localized effects from urbanization such as the urban heat island. Urban land covers as the biophysical state of the earth's surface and immediate subsurface are sources and sinks for most of the material and energy movements and interactions between the geosphere and biosphere. Climate change is considered to be the biggest environmental threat in the future in the South-Eastern part of Europe. The aim of this paper is to investigate the influences of urban growth on urban thermal environment as well as the relationships of thermal characteristics to other biophysical parameters in Bucharest metropolitan area of Romania based on time series MODIS Terra/Aqua and IKONOS data acquired during 2000-2014 periods. Land Surface Temperature (LST) is a key variable for studying urban land surface processes and surface atmosphere interactions, being a crucial component in the study of the surface energy and water budgets. Urbanization created an evolved inverse relationship between impervious and vegetation coverage, and brought about new LST patterns because of LST's correlations with both impervious and vegetation coverage. City thermal environment risk management strategies for mitigating and adapting to climate change must propose efficient plans to reduce greenhouse gas (GHG) emissions and cool the city through changes in the built environment, land use, and transportation.
C1 [Zoran, Maria A.; Savastru, Roxana S.; Savastru, Dan M.; Tautan, Marina N.; Baschir, Laurentiu A.] Natl Inst R&D Optoelect, MG5, Bucharest 077125, Romania.
C3 National Research & Development Institute Optoelectronics INOE 2000
RP Zoran, MA (corresponding author), Natl Inst R&D Optoelect, MG5, Bucharest 077125, Romania.
EM maria@dnt.ro
RI Savastru, Dan/Z-5817-2019; ZORAN, MARIA/AAT-2223-2021; Baschir,
   Laurentiu/I-3868-2014
OI Savastru, Roxana/0000-0003-0997-0938; Baschir,
   Laurentiu/0000-0001-8402-113X; SAVASTRU, DAN/0000-0002-1939-4973
CR Bloom DE, 2008, SCIENCE, V319, P772, DOI 10.1126/science.1153057
   Chen XL, 2006, REMOTE SENS ENVIRON, V104, P133, DOI 10.1016/j.rse.2005.11.016
   Hook S.J., 2013, Thermal Infrared Remote Sensing, P93, DOI [10.1007/978-94-007-6639-6, DOI 10.1007/978-94-007-6639-6]
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Kaufmann RK, 2007, J CLIMATE, V20, P2299, DOI 10.1175/JCLI4109.1
   Kuenzer C., 2013, THERMAL INFRARED REM, P544
   Ogashawara I, 2012, REMOTE SENS-BASEL, V4, P3596, DOI 10.3390/rs4113596
   Small C, 2006, REMOTE SENS ENVIRON, V100, P441, DOI 10.1016/j.rse.2005.10.023
   Stathopoulou M, 2009, REMOTE SENS ENVIRON, V113, P2592, DOI 10.1016/j.rse.2009.07.017
   Wan ZM, 2002, REMOTE SENS ENVIRON, V83, P163, DOI 10.1016/S0034-4257(02)00093-7
   Weng QH, 2009, ISPRS J PHOTOGRAMM, V64, P335, DOI 10.1016/j.isprsjprs.2009.03.007
   Xian G, 2008, ADV SPACE RES, V41, P1861, DOI 10.1016/j.asr.2007.11.004
   Yang LM, 2003, PHOTOGRAMM ENG REM S, V69, P1003, DOI 10.14358/PERS.69.9.1003
   Zoran M, 2008, J OPTOELECTRON ADV M, V10, P701
   Zoran MA, 2013, PROC SPIE, V8887, DOI 10.1117/12.2028718
   Zoran MA, 2013, PROC SPIE, V8887, DOI 10.1117/12.2028710
NR 16
TC 1
Z9 1
U1 1
U2 27
PU SPIE-INT SOC OPTICAL ENGINEERING
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
SN 0277-786X
EI 1996-756X
BN 978-1-62841-308-3
J9 PROC SPIE
PY 2014
VL 9245
AR 92451H
DI 10.1117/12.2067164
PG 9
WC Geosciences, Multidisciplinary; Remote Sensing; Optics
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Geology; Remote Sensing; Optics
GA BB9HM
UT WOS:000348318200036
DA 2025-01-10
ER

PT J
AU Haden, V
   Niles, MT
   Lubell, M
   Perlman, J
   Jackson, LE
AF Haden, Van R.
   Niles, Meredith T.
   Lubell, Mark
   Perlman, Joshua
   Jackson, Louise E.
TI Global and Local Concerns: What Attitudes and Beliefs Motivate Farmers
   to Mitigate and Adapt to Climate Change?
SO PLOS ONE
LA English
DT Article
ID MEDIATION ANALYSIS; RISK PERCEPTION; POLICY; STRATEGIES; PSYCHOLOGY;
   EXPERIENCE; RESPONSES; OPTIONS; BARON
AB In response to agriculture's vulnerability and contribution to climate change, many governments are developing initiatives that promote the adoption of mitigation and adaptation practices among farmers. Since most climate policies affecting agriculture rely on voluntary efforts by individual farmers, success requires a sound understanding of the factors that motivate farmers to change practices. Recent evidence suggests that past experience with the effects of climate change and the psychological distance associated with people's concern for global and local impacts can influence environmental behavior. Here we surveyed farmers in a representative rural county in California's Central Valley to examine how their intention to adopt mitigation and adaptation practices is influenced by previous climate experiences and their global and local concerns about climate change. Perceived changes in water availability had significant effects on farmers' intention to adopt mitigation and adaptation strategies, which were mediated through global and local concerns respectively. This suggests that mitigation is largely motivated by psychologically distant concerns and beliefs about climate change, while adaptation is driven by psychologically proximate concerns for local impacts. This match between attitudes and behaviors according to the psychological distance at which they are cognitively construed indicates that policy and outreach initiatives may benefit by framing climate impacts and behavioral goals concordantly; either in a global context for mitigation or a local context for adaptation.
C1 [Haden, Van R.] Univ Calif Davis, Agr Sustainabil Inst, Davis, CA 95616 USA.
   [Niles, Meredith T.; Lubell, Mark; Perlman, Joshua] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
   [Jackson, Louise E.] Univ Calif Davis, Dept Land Air & Water Resources, 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 Davis
RP Haden, V (corresponding author), Univ Calif Davis, Agr Sustainabil Inst, Davis, CA 95616 USA.
EM vrhaden@ucdavis.edu; mtniles@ucdavis.edu
RI Lubell, Mark/H-5018-2012
OI Niles, Meredith/0000-0002-8323-1351; Lubell, Mark/0000-0001-5757-7116
FU California Energy Commission [CEC-500-2012-032]
FX The source of funding for this study was the California Energy
   Commission (grant # CEC-500-2012-032). The funders had no role in study
   design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR [Anonymous], 2016, STAND DEF FIN DISP C, V9th
   [Anonymous], 2008, CLIMATE CHANGE SCOPI
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Dillman D.A., 2009, Internet, Mail, and Mix-Mode Surveys: The Taylored Design Method
   Fujita K, 2008, J EXP SOC PSYCHOL, V44, P562, DOI 10.1016/j.jesp.2007.10.005
   Haden VR, 2012, J ENVIRON PLANNING M
   Hayes AF, 2009, COMMUN MONOGR, V76, P408, DOI 10.1080/03637750903310360
   Jackson LE, 2011, CLIMATIC CHANGE, V109, P407, DOI 10.1007/s10584-011-0306-3
   Kerr S., 2008, Farm Policy Journal, V5, P19
   Krosnick JA, 2006, CLIMATIC CHANGE, V77, P7, DOI 10.1007/s10584-006-9068-8
   Leary N., 2006, International START Secretariat AIACC Working Paper No. 30, P1
   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
   Loewenstein George., 1992, CHOICE TIME
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Lubell M, 2007, POLIT BEHAV, V29, P391, DOI 10.1007/s11109-006-9025-2
   Matthews HD, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032388
   Metz B., 2007, Climate change
   Niemeier D, 2009, CALIF AGR, V63, P96, DOI 10.3733/ca.v063n02p96
   Niles MT, 2012, POLICY STUD J, V40, P41, DOI 10.1111/j.1541-0072.2012.00445.x
   Ostrom E, 2010, ENVIRON CONSERV, V37, P451, DOI 10.1017/S0376892910000834
   Preacher KJ, 2008, BEHAV RES METHODS, V40, P879, DOI 10.3758/BRM.40.3.879
   Preacher KJ, 2011, PSYCHOL METHODS, V16, P93, DOI 10.1037/a0022658
   Rabinovich A, 2009, J ENVIRON PSYCHOL, V29, P391, DOI 10.1016/j.jenvp.2009.09.004
   Reganold JP, 2011, SCIENCE, V332, P670, DOI 10.1126/science.1202462
   Rucker DD, 2011, SOC PERSONAL PSYCHOL, V5, P359, DOI 10.1111/j.1751-9004.2011.00355.x
   Sanna LJ, 2010, J EXP SOC PSYCHOL, V46, P1126, DOI 10.1016/j.jesp.2010.05.018
   Sanna LJ, 2009, PSYCHOL SCI, V20, P1319, DOI 10.1111/j.1467-9280.2009.02458.x
   Smith P, 2007, AGR ECOSYST ENVIRON, V118, P6, DOI 10.1016/j.agee.2006.06.006
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   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
   Valdivia C, 2010, ANN ASSOC AM GEOGR, V100, P818, DOI 10.1080/00045608.2010.500198
   Victor DG, 2005, SCIENCE, V309, P1820, DOI 10.1126/science.1113180
   Weber E.U., 1997, Psychological Perspectives to Environmental and Ethical Issues in Management, P314
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Zhao XS, 2010, J CONSUM RES, V37, P197, DOI 10.1086/651257
NR 40
TC 193
Z9 228
U1 2
U2 179
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 26
PY 2012
VL 7
IS 12
AR e52882
DI 10.1371/journal.pone.0052882
PG 7
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA 071TV
UT WOS:000313618800158
PM 23300805
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ghosh, S
   Head, L
AF Ghosh, Sumita
   Head, Lesley
TI Retrofitting the Suburban Garden: morphologies and some elements of
   sustainability potential of two Australian residential suburbs compared
SO AUSTRALIAN GEOGRAPHER
LA English
DT Article
DE Residential gardens; suburbs; suburban morphologies; rainwater
   harvesting; food production; carbon storage; New South Wales
ID DOMESTIC GARDENS; URBAN AREAS; MERSEYSIDE; FORM
AB Residential gardens will continue to dominate as important elements of Australian suburbs in the timeframe available for adapting to climate change. In this paper, we analyse and compare the morphologies and sustainability potential of residential suburbs and their gardens in two case studies: Traditional-suburban and Modern-suburban in the Illawarra region of New South Wales. Spatial distributions of land-cover patterns were estimated using Geographic Information Systems (ArcGIS). The four sustainability parameters measured were: roof rain water collection; local food (vegetable) production; energy and CO2 emission savings from clothes lines; and carbon benefits of onsite tree canopy cover. Outcomes suggest that land cover such as tree canopy cover and other permeable and impermeable surfaces in garden spaces can significantly impact on sustainability. Impermeable surface cover is higher in the Modern-suburban compared to the Traditional-suburban development. Traditional-suburban is more capable of supporting environmental and ecological functions through better connectivity of green spaces and availability of onsite land areas for local food production. Modern-suburban has more capacity for roof rainwater collection due to larger building roof sizes, provided there is planning for sufficient tank spaces in the design phases. These results identify specific characteristics of two suburban forms which could make positive contributions to suburban sustainability. However, changes in behaviour would be essential to utilise these capabilities of suburban environments.
C1 [Ghosh, Sumita] Univ Western Sydney, Urban Res Ctr, Parramatta, NSW 2150, Australia.
   Univ Wollongong, Wollongong, NSW 2522, Australia.
C3 Western Sydney University; University of Wollongong
RP Ghosh, S (corresponding author), Univ Western Sydney, Urban Res Ctr, Level 6,34 Charles St, Parramatta, NSW 2150, Australia.
EM s.ghosh@uws.edu.au
OI Ghosh, Sumita/0000-0001-6488-9329; Head, Lesley/0000-0002-5114-7614
CR *ABS, 2006, 46211 ABS
   *ABS, 2008, 1209055002 ABS
   *AM FOR, 2004, CITYGREEN CALC VAL N
   *AM FOR, 2008, URB FOR
   [Anonymous], 2006, Australia's quarter acre: The story of the ordinary suburban garden
   [Anonymous], HARVEST SUBURBS
   [Anonymous], 285 LINC U AGR EC RE
   [Anonymous], URB DRAIN MOD WAT SE
   Askew LE, 2004, AUST GEOGR, V35, P17, DOI 10.1080/0004918024000193702
   Australian Bureau of Statistics (ABS), 1992, HOM PROD SEL FOODST, P1
   BLAKERS A, 2008, DEEP CUTS HOUSEHOLD
   *CSIR, 2008, FRUIT VEG TOT WELLB
   Daniels GD, 2006, LANDSCAPE URBAN PLAN, V78, P344, DOI 10.1016/j.landurbplan.2005.11.004
   *EN EFF STRAT, 2006, GREEN WHIT GOODS REP, P1
   *EWATER CRC, 2008, MUS OV CATCH MOD TOO
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Gaston KJ, 2005, BIODIVERS CONSERV, V14, P3327, DOI 10.1007/s10531-004-9513-9
   GHOSH S, 2007, LOCAL ENVIRON, V12, P1
   Ghosh S., 2004, THESIS U AUCKLAND NZ
   Gleeson B., 2006, AUSTR HEARTLANDS MAK
   Haase D, 2007, LANDSCAPE URBAN PLAN, V80, P1, DOI 10.1016/j.landurbplan.2006.03.011
   Haug A, 2007, MED J AUSTRALIA, V187, P674, DOI 10.5694/j.1326-5377.2007.tb01471.x
   HEAD L.M., 2007, Backyard: Nature and culture in suburban Australia, DOI DOI 10.1080/1464936032000049333
   Head L, 2007, SOC CULT GEOGR, V8, P889, DOI 10.1080/14649360701712651
   Head L, 2006, T I BRIT GEOGR, V31, P505, DOI 10.1111/j.1475-5661.2006.00228.x
   Ho S., 2001, THESIS U AUCKLAND NZ
   Industry Submission to United States Environmental Protection Agency (EPA), 2004, RES WAT US SYDN BLUE, P1
   Jenks Mike, 2005, FUTURE FORMS DESIGN, P287
   Loram A, 2008, ENVIRON MANAGE, V42, P361, DOI 10.1007/s00267-008-9097-3
   Mathieu R, 2007, LANDSCAPE URBAN PLAN, V81, P179, DOI 10.1016/j.landurbplan.2006.11.009
   New South Wales Government (NSW), 2006, 2006 METR WAT PLAN C, P51
   Newman PG., 1989, Cities and Automobile Dependence: a Sourcebook
   NEWMAN PWG, 1989, J AM PLANN ASSOC, V55, P24, DOI 10.1080/01944368908975398
   Nowak DJ, 2002, ENVIRON POLLUT, V116, P381, DOI 10.1016/S0269-7491(01)00214-7
   Pauleit S, 2005, LANDSCAPE URBAN PLAN, V71, P295, DOI 10.1016/j.landurbplan.2004.03.009
   Peffy T, 2008, LANDSCAPE URBAN PLAN, V86, P1, DOI 10.1016/j.landurbplan.2007.12.004
   Power ER, 2005, AUST GEOGR, V36, P39, DOI 10.1080/00049180500050847
   *RAIN WAT HARV PTY, 2008, RAINW HARV COMPL RAI
   Smith RM, 2005, LANDSCAPE ECOL, V20, P235, DOI 10.1007/s10980-004-3160-0
   Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003
   Troy P., 1996, PERILS URBAN CONSOLI
   U.S. Environmental Protection Agency, 2006, PROT WAT RES HIGH DE
   *USDA FOR SERV, 2006, URB FOR EFF UFORE MO
   Whitehand JWR, 1999, ENVIRON PLANN B, V26, P503, DOI 10.1068/b260503
   Whitford V, 2001, LANDSCAPE URBAN PLAN, V57, P91, DOI 10.1016/S0169-2046(01)00192-X
   Williamson K, 2000, TR AFR LING, V4, P1
   WinklerPrins A.M. G. A., 2002, Urban Ecosystems, V6, P43, DOI DOI 10.1023/A:1025914629492
   2005, MASTER PLUMBER   FEB, P31
NR 48
TC 29
Z9 30
U1 3
U2 47
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0004-9182
EI 1465-3311
J9 AUST GEOGR
JI Aust. Geogr.
PY 2009
VL 40
IS 3
BP 319
EP 346
AR PII 914504299
DI 10.1080/00049180903127754
PG 28
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 491UJ
UT WOS:000269604900004
DA 2025-01-10
ER

PT J
AU Yang, HZ
   Zhai, DL
   Ranjitkar, S
   Zhong, MC
   Guo, CA
   Zhang, X
   Yang, JW
   Yang, WK
   Xu, JC
   Wang, YH
AF Yang, Huizhao
   Zhai, Deli
   Ranjitkar, Sailesh
   Zhong, Micai
   Guo, Chang'an
   Zhang, Xiong
   Yang, Jianwei
   Yang, Weikang
   Xu, Jianchu
   Wang, Yuhua
TI Traditional ecological knowledge-based calendar system for sustainable
   seasonal grazing in the Pamir Mountains
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Sustainable management; Indigenous seasonal grazing; Ecological
   calendar; Climate adaptation; Mountain ecosystem
ID CLIMATE-CHANGE ADAPTATION; SPRING PHENOLOGY; ASSESSMENTS; XINJIANG;
   INCREASE; SCIENCE
AB Indigenous mountain communities are on the cutting edge of environmental threats, their responses, and the preservation of traditional knowledge that ensures the harmony between the environment and sustainable resource use. In the context of seasonal grazing, a key livelihood activity in the eastern Pamir Mountains, this study aimed to document a traditional ecological calendar-like management system and scientifically validate its effectiveness. Through an ethno-ecological survey comprising focus group discussions and semi-structured in-terviews, we examined the variations in seasonal grazing practices based on ecological calendars. The study quantified and evaluated the indicators' efficacy in guiding these seasonal activities by analyzing time series satellite data of Normalized Difference Vegetation Index (NDVI). Additionally, the research assessed the potential alterations required in the future under anticipated climatic scenarios (SSP126 and SSP585) using the random forest algorithm. The findings underscored the alignment between seasonal migration patterns, grazing as the primary seasonal activity, and spatiotemporal variations in vegetation phenology. Our analysis revealed that in the future local herders may need to spend more or shorter time in pastures at different elevation compared to present because of possible change in the phenology. Our findings demonstrate the high validity of this calendar system in local resource management, and with modification it would be equally important in the future under new climatic scenarios.
C1 [Yang, Huizhao; Guo, Chang'an; Zhang, Xiong; Xu, Jianchu; Wang, Yuhua] Chinese Acad Sci, Kunming Inst Bot, Yunnan Key Lab Wild Plant Resources, Kunming 650201, Peoples R China.
   [Zhai, Deli] Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Mengla 666303, Yunnan, Peoples R China.
   [Ranjitkar, Sailesh] N Gene Solut Nat Innovat, Kathmandu 44614, GPO, Nepal.
   [Ranjitkar, Sailesh] Lumbini Buddhist Univ, Sch Dev Studies, Agroforestry Program, Devdaha, Lumbini, Nepal.
   [Ranjitkar, Sailesh] Midwestern Univ, Fac Humanities & Social Sci, Lalitpur, Nepal.
   [Zhong, Micai] Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming 650201, Yunnan, Peoples R China.
   [Guo, Chang'an; Zhang, Xiong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Zhang, Xiong] Shaanxi Normal Univ, Coll Life Sci, Xian 710119, Peoples R China.
   [Yang, Jianwei] Taxkorgan Wildlife Nat Reserve Adm, Kashi 844000, Xinjiang, Peoples R China.
   [Yang, Weikang] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
   [Xu, Jianchu] Kunming Inst Bot, Honghe Ctr Mt Futures, Honghe County 654400, Yunnan, Peoples R China.
   [Xu, Jianchu] World Agroforestry ICRAF, East & Cent Asia Reg Off, Kunming 650201, Yunnan, Peoples R China.
C3 Chinese Academy of Sciences; Kunming Institute of Botany, CAS; Chinese
   Academy of Sciences; Xishuangbanna Tropical Botanical Garden, CAS;
   Chinese Academy of Sciences; Kunming Institute of Botany, CAS; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS;
   Shaanxi Normal University; Chinese Academy of Sciences; Xinjiang
   Institute of Ecology & Geography, CAS; Chinese Academy of Sciences;
   Kunming Institute of Botany, CAS
RP Xu, JC; Wang, YH (corresponding author), Chinese Acad Sci, Kunming Inst Bot, Yunnan Key Lab Wild Plant Resources, Kunming 650201, Peoples R China.; Ranjitkar, S (corresponding author), N Gene Solut Nat Innovat, Kathmandu 44614, GPO, Nepal.; Ranjitkar, S (corresponding author), Lumbini Buddhist Univ, Sch Dev Studies, Agroforestry Program, Devdaha, Lumbini, Nepal.
EM sailesh.ranjitkar@gmail.com; jxu@mail.kib.ac.cn;
   wangyuhua@mail.kib.ac.cn
RI zhong, micai/LLM-6119-2024; Xu, Jianchu/Y-2890-2019; Ranjitkar,
   Sailesh/I-9307-2014
OI yang, wei kang/0000-0002-6436-1433; Zhai, Deli/0000-0001-5957-2482;
   Ranjitkar, Sailesh/0000-0002-4741-3975
FU "the Second Tibetan Plateau Scientific Expedition and Research" Project
   of China [2019QZKK0502]; Postdoctoral Directional Training Fundations of
   Yunnan, China; National Natural Science Foundation of China (NSFC)
   [41661144001]
FX This study was funded by "the Second Tibetan Plateau Scientific
   Expedition and Research" Project of China, grant number 2019QZKK0502,
   the Postdoctoral Directional Training Fundations of Yunnan, China, and
   the National Natural Science Foundation of China (NSFC) , grant number
   41661144001.
CR Abouali M., 2020, MATLAB IMPLEMENTATIO
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   Barrow E., 2007, PASTORALISTS SPECIE, V3
   Bendixen M, 2022, NAT SUSTAIN, V5, P991, DOI 10.1038/s41893-022-00922-8
   Bureau X.S., 2018, XINJ STAT YB 2018
   Cámara-Leret R, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaz1455
   Cámara-Leret R, 2019, NAT SUSTAIN, V2, P736, DOI 10.1038/s41893-019-0324-0
   Castro B, 2022, GLOBAL ENVIRON CHANG, V75, DOI 10.1016/j.gloenvcha.2022.102555
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Didan K., 2015, MOD13A2 MODISTERRA V, DOI [DOI 10.5067/MODIS/MOD13Q1.006, 10.5067/MODIS/MOD13Q1.006, 10.5067/M0DIS/M0D13Q1.006]
   Everingham Y, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0364-z
   Falardeau M, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102469
   ( FAO) F.a.A.O.o.t.U.N, 2022, UN NAM 2026 INT YEAR
   Farrell J, 2021, SCIENCE, V374, DOI 10.1126/science.abe4943
   Fernández-Giménez ME, 2012, HUM ECOL, V40, P287, DOI 10.1007/s10745-012-9463-x
   Fu Y, 2012, ENVIRON MANAGE, V50, P607, DOI 10.1007/s00267-012-9918-2
   Gagnon CA, 2023, NAT SUSTAIN, V6, P769, DOI 10.1038/s41893-023-01085-w
   Gillson L, 2007, SCIENCE, V315, P53, DOI 10.1126/science.1136577
   Godde CM, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2020.100488
   Godde CM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7395
   Guo L, 2015, AGR FOREST METEOROL, V201, P1, DOI 10.1016/j.agrformet.2014.10.016
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Herrero M, 2013, P NATL ACAD SCI USA, V110, P20888, DOI 10.1073/pnas.1308149110
   Pizango CGH, 2022, NAT SUSTAIN, V5, P479, DOI 10.1038/s41893-022-00858-z
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hu J, 2010, GLOBAL CHANGE BIOL, V16, P771, DOI 10.1111/j.1365-2486.2009.01967.x
   Hufkens K, 2019, AGR FOREST METEOROL, V265, P327, DOI 10.1016/j.agrformet.2018.11.002
   Huntington H, 2004, AMBIO, P18
   Jansky L, 2002, GLOBAL ENVIRON CHANG, V12, P231, DOI 10.1016/S0959-3780(02)00015-8
   Kassam KA, 2011, J PERSIANATE STUD, V4, P146, DOI 10.1163/187471611X600369
   Kassam KAS, 2022, GEOHEALTH, V6, DOI 10.1029/2022GH000614
   Kassam KAS, 2018, HUM ECOL, V46, P249, DOI 10.1007/s10745-018-9970-5
   Klenk N., 2017, WILEY INTERDISCIPLIN, V8, P475
   Knight CA, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2116264119
   Körner C, 2004, AMBIO, P11
   Kreutzmann H, 2016, ADV ASIAN HUM-ENV RE, P17, DOI 10.1007/978-3-319-23198-3_2
   Levy JK, 2000, ECOL MODEL, V130, P79, DOI 10.1016/S0304-3800(00)00226-X
   Liao C, 2014, APPL GEOGR, V46, P61, DOI 10.1016/j.apgeog.2013.10.010
   Lindner T, 2022, J INT BUS STUD, V53, P1307, DOI 10.1057/s41267-022-00549-z
   Liu HY, 2018, P NATL ACAD SCI USA, V115, P4051, DOI 10.1073/pnas.1700299114
   Lu JY, 2022, NAT SUSTAIN, V5, P254, DOI 10.1038/s41893-021-00825-0
   Mistry J, 2016, SCIENCE, V352, P1274, DOI 10.1126/science.aaf1160
   Mondragón C, 2004, OCEANIA, V74, P289, DOI 10.1002/j.1834-4461.2004.tb02856.x
   Morisette JT, 2009, FRONT ECOL ENVIRON, V7, P253, DOI 10.1890/070217
   Mu JP, 2016, AGR ECOSYST ENVIRON, V233, P336, DOI 10.1016/j.agee.2016.09.030
   Nerini FF, 2019, NAT SUSTAIN, V2, P674, DOI 10.1038/s41893-019-0334-y
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Piao SL, 2006, GLOBAL ENVIRON CHANG, V16, P340, DOI 10.1016/j.gloenvcha.2006.02.002
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Piao SL, 2006, GLOBAL CHANGE BIOL, V12, P672, DOI 10.1111/j.1365-2486.2006.01123.x
   Plagányi ÉE, 2013, P NATL ACAD SCI USA, V110, P3639, DOI 10.1073/pnas.1217822110
   Ranjitkar S, 2020, CLIMATIC CHANGE, V161, P637, DOI 10.1007/s10584-020-02688-4
   SCHALLER GB, 1987, BIOL CONSERV, V42, P53, DOI 10.1016/0006-3207(87)90052-8
   Selemani IS, 2020, BIODIVERS CONSERV, V29, P3863, DOI 10.1007/s10531-020-02060-z
   Shouzhang P., 2020, 1 KM MONTHLY MAXIMUM
   Shouzhang P., 2020, 1 KM MONTHLY MINIMUM
   Smith T, 2018, SCI ADV, V4, DOI 10.1126/sciadv.1701550
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   Turner NJ, 2000, ECOL APPL, V10, P1275, DOI 10.2307/2641283
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Vitasse Y, 2018, P NATL ACAD SCI USA, V115, P1004, DOI 10.1073/pnas.1717342115
   Wan M., 1935, J METEOROL, P24
   Wan M., 1962, J PUBLIC SCI, V3
   Wang J, 2018, NAT HAZARDS, V90, P461, DOI 10.1007/s11069-017-3055-4
   Wang S, 2019, REMOTE SENS ENVIRON, V222, P303, DOI 10.1016/j.rse.2018.12.026
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wu JQ, 2023, J CLEAN PROD, V402, DOI 10.1016/j.jclepro.2023.136751
   Xinjiang Comprehensive Investigation Team C.A.o.S. C.A.o.S. Institute of Botany, 1978, VEGETATION ITS UTILI, P378
   Yang H., 2021, CLIMATIC CHANGE, V167
   Yang H., 2019, SUSTAINABILITY-BASEL, V11
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
NR 71
TC 0
Z9 0
U1 6
U2 25
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD AUG 15
PY 2023
VL 414
AR 137756
DI 10.1016/j.jclepro.2023.137756
EA JUN 2023
PG 12
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA L5OS8
UT WOS:001023764500001
DA 2025-01-10
ER

PT J
AU Jenewein, O
   Hummel, MA
AF Jenewein, Oswald
   Hummel, Michelle A. A.
TI Co-Creating Climate Adaptation Pathways in Coastal Cities: A Practical
   Guide for Engaged Scholars and Urban Designers
SO SUSTAINABILITY
LA English
DT Article
DE participatory engagement; community-based research; flood hazards;
   sustainable city; resilient waterfront; interdisciplinary studies; urban
   design
ID DEEP UNCERTAINTY; COMMUNITY; CAPACITY
AB As the repercussions of climate change materialize, coastal cities are often at the forefront of experiencing environmental impacts like flooding and storm events. In addition, anthropogenic vulnerability drivers, like industrial activity in the near-shore environment, may accelerate shoreline erosion or nuisance flooding through the loss of natural shoreline buffers and increased ship traffic. This interdisciplinary study applied a participatory mixed-methods approach, co-creating climate change adaptation pathways with community and stakeholder input as a bottom-up task. The aims were to engage in a community dialogue (1) identifying assets and challenges within the natural and built environment based on community input, (2) utilizing a participatory mixed-methods approach to model and quantify selected hazards, and (3) transforming them into adaptation pathways visualized in a comprehensive master plan. The small-town of Ingleside on the Bay, Texas, served as a case study for this project, highlighting how sea-level rise and industrial activity challenge the community, its natural and cultural environment, and the infrastructure within. The outcomes identify anthropogenic vulnerability drivers and propose a concrete list of seven adaptation pathways based on community input. This study helps engaged scholars and decision-makers to activate community members and their knowledge as an integral component of their work, from identifying a problem to developing tangible solutions.
C1 [Jenewein, Oswald] Univ Texas Arlington, Sch Architecture, Arlington, TX 76019 USA.
   [Hummel, Michelle A. A.] Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA.
C3 University of Texas System; University of Texas Arlington; University of
   Texas System; University of Texas Arlington
RP Jenewein, O (corresponding author), Univ Texas Arlington, Sch Architecture, Arlington, TX 76019 USA.
EM oswald.jenewein@uta.edu
OI Hummel, Michelle/0000-0002-5524-2547; Jenewein,
   Oswald/0000-0001-8860-3647
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   [Anonymous], Robert McNeel & Associates Rhinoceros 3D
   [Anonymous], ACT 3D LUMION
   [Anonymous], NOAA Sea Level Trends
   [Anonymous], Adobe Creative Cloud Adoption Grows to 9 Million Paid Members
   [Anonymous], USACE GALVESTON DIST
   [Anonymous], 2014, HOMEOWN GUID RETROFI, V3, P87
   [Anonymous], QGIS 3 16 HANNOVER
   [Anonymous], US CENSUS DATA
   [Anonymous], 2004, GeoJournal, DOI DOI 10.1007/S10708-005-0877-5
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Baum F, 2006, J EPIDEMIOL COMMUN H, V60, P854, DOI 10.1136/jech.2004.028662
   Berke PR, 2021, RISK ANAL, V41, P1248, DOI 10.1111/risa.13202
   Boylston S., 2019, Designing With Society: A Capabilities Approach to Design, Systems Thinking and Social Innovation
   Buurman J, 2016, POLICY SOC, V35, P137, DOI 10.1016/j.polsoc.2016.05.002
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   City of Ingleside,, TEXAS HIST INGLESIDE
   DeJonckheere M, 2019, J MIX METHOD RES, V13, P481, DOI 10.1177/1558689818778469
   Egerer M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   EIA U.S. Energy Information Administration, EXP PETR OTH LIQ
   EIA U.S. Energy Information Administration, CRUD OIL IMP EXP POR
   Haasnoot M, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab1871
   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
   Hamilton P, 2018, USACE ENG RES DEV CE, V18, P1
   Hummel MA, 2018, REG ENVIRON CHANGE, V18, P1343, DOI 10.1007/s10113-017-1267-5
   Intergovt Panel Climate Change, 1990, CLIMATE CHANGE: THE IPCC SCIENTIFIC ASSESSMENT, P1
   IOBCWA,, INGL BAY COAST WATCH
   Israel BA., 2017, COMMUNITY BASED PART, V3, P32
   Jenewein O, SHORT FILM INGLESIDE
   Jenewein O, 2021, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2021: PLANNING A RESILIENT FUTURE ALONG AMERICA'S FRESHWATERS, P888
   Kimberlain T.B, 2015, HURRICANE PATRICIA, V1, P32
   Leviston Z, 2014, EUR J SOC PSYCHOL, V44, P441, DOI 10.1002/ejsp.2050
   Lin BB, 2017, COAST MANAGE, V45, P384, DOI 10.1080/08920753.2017.1349564
   Mapbox Openstreetmap, MAPB
   McIntyre A., 2007, SAGE, DOI [10.1002/cc.20387, DOI 10.1002/CC.20387]
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Moser SC, 2015, URBAN CLIM, V14, P111, DOI 10.1016/j.uclim.2015.06.006
   Newell R, 2021, FACETS, V6, P287, DOI 10.1139/facets-2020-0045
   NOAA. U.S.N.O. A.A, TID STAT 8775296
   NOAA. U.S.N.O. A.A,, TID CURR
   NOAA. U.S.N.O. A.A,, TID STAT 8774770
   PACIONE M, 1990, URBAN GEOGR, V11, P1, DOI 10.2747/0272-3638.11.1.1
   Pacione M., 2014, Urban Problems (Routledge Revivals): An Applied Urban Analysis
   Port of Corpus Christi Authority Projects and Development, AUTH PROJ DEV PORT C
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Reason P., 2001, HDB ACTION RES PARTI
   Sandifer PA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.631986
   Schroder K, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1052373
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Strauss BH, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014033
   Sullivan J, 2003, MUTAT RES-REV MUTAT, V544, P331, DOI 10.1016/j.mrrev.2003.06.015
   Sweet W., 2014, SEA LEVEL RISE NUISA, P58
   Tashakkori A, 2007, J MIX METHOD RES, V1, P3, DOI 10.1177/2345678906293042
   US Census Ingleside on the Bay TX, INGL BAY TX
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
NR 57
TC 5
Z9 5
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2022
VL 14
IS 23
AR 16046
DI 10.3390/su142316046
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 6X3CR
UT WOS:000896295700001
OA gold
DA 2025-01-10
ER

PT J
AU Mu, L
   Liu, YH
   Wang, CC
   Qu, XJ
   Yu, YC
AF Mu, Lan
   Liu, Yuhong
   Wang, Chencheng
   Qu, Xiaojuan
   Yu, Yaochuang
TI Enhancing capacity building to climate adaptation and water conservation
   among Chinese young people
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Climate change adaptation; Capacity development; Water vulnerability;
   Water footprint; Sustainability
ID WILLINGNESS-TO-PAY; AGRICULTURAL WATER; CONSUMPTION; FOOTPRINT;
   STRATEGIES; POLLUTION; BEHAVIOR; IMPACT; GREEN
AB Capacity development has been regarded as one of many measures to empower the abilities of nations to adapt to a changing climate. Promoting public engagement in water conservation, especially among young people since they will be leading decision making in the near future, is one effective strategy for adapting to the changing climate. This research presented a water footprint adaptation (WF) approach which attempted to link climate adaptation and capacity development with saving water strategy. The approach was tested in cooperation with two universities in Shaanxi province aiming to develop a starting point for WF evaluation and develop an improvement response. The results showed that the college students in our samples reduced their direct and indirect water footprints by 27.39% and 6.50%, respectively, in the post-intervention phase. The evaluation of the improvements proved that the WF approach to be efficient, the awareness of the college students on the matter could be increased. Additionally, the findings of the research indicated that the college students became change agent, expressing the desire to act as multipliers and to help the movement and spread of important knowledge about methods for alleviating water stress and about vulnerability to the changing climate. As expected, the awareness of water scarcity and perceptions of climate change had statistically significant effects on the water footprints, which was consistent with our hypothesis. Our approach helped participants develop capacity by revealing the linkage between their local level actions and the various aspects of adaptation to changing climate at the global level. This strategy will provide a comparative basis for water policy makers to adopt appropriate strategies to address matters related to water shortages and finally enhance sustainable adaptation to changing context.
C1 [Mu, Lan; Liu, Yuhong; Wang, Chencheng] Shaanxi Normal Univ, Northwest Inst Hist Environm & Socioecon Dev, 620,West Changan Ave, Xian 710119, Shaanxi, Peoples R China.
   [Qu, Xiaojuan] Shaanxi Radio & TV Univ, Xian 710062, Shaanxi, Peoples R China.
   [Yu, Yaochuang] Baoji Univ Arts & Sci, Key Lab Disaster Monitoring & Mech Simulating Sha, Coll Geog & Environm, Baoji 721013, Shaanxi, Peoples R China.
C3 Shaanxi Normal University; Baoji University of Arts & Sciences
RP Mu, L (corresponding author), Shaanxi Normal Univ, Northwest Inst Hist Environm & Socioecon Dev, 620,West Changan Ave, Xian 710119, Shaanxi, Peoples R China.
EM mulan820706@snnu.edu.cn
FU National Natural Science Foundation of China [42001221]; funded Projects
   for the Academic Leaders and Academic Backbones, Shaanxi Normal
   University, China [18QNGG011]; National Key R&D Program of China
   [2019YFD1100901]; Shaanxi Social Science Fund [2019E007, 2018D29]
FX This work was financially supported by the National Natural Science
   Foundation of China (42001221); the funded Projects for the Academic
   Leaders and Academic Backbones, Shaanxi Normal University, China
   (18QNGG011); the National Key R&D Program of China (2019YFD1100901);
   Shaanxi Social Science Fund (2018D29); and Shaanxi Social Science Fund
   (2019E007).
CR Ahmad D., 2020, ENVIRON SCI POLLUT R, P1
   [Anonymous], 2011, The Water Footprint Assessment Manual: Setting the Global Standard
   [Anonymous], 2008, Capacity Development Practice Note
   [Anonymous], 2013, PLYMOUTH STUD SCI
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Aulong S, 2012, REG ENVIRON CHANGE, V12, P423, DOI 10.1007/s10113-011-0258-1
   Beatty A., 2012, CLIMATE CHANGE ED
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bollen J, 2014, ENERG ECON, V46, P202, DOI 10.1016/j.eneco.2014.08.028
   Chang IC, 2020, ENVIRON SCI POLLUT R, V27, P12725, DOI 10.1007/s11356-020-07656-0
   Chao Chen, 2019, Global Energy Interconnection, V2, P98, DOI 10.1016/j.gloei.2019.07.009
   Chapagain AK, 2007, ECOL ECON, V64, P109, DOI 10.1016/j.ecolecon.2007.02.022
   Chen YN, 2016, J GEOGR SCI, V26, P939, DOI 10.1007/s11442-016-1308-x
   China National Bureau of Statistics, 2019, CHINA STAT YB
   Corner A, 2015, WIRES CLIM CHANGE, V6, P523, DOI 10.1002/wcc.353
   Eastwood M, 2009, PRINCIPLES HUMAN NUT, P689
   Elmadfa I., 2012, OSTERREICHISCHER ERN, P412
   Fernández M, 2016, J CLEAN PROD, V122, P154, DOI 10.1016/j.jclepro.2016.02.026
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Funatsu BM, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.007
   Gómez-Llanos E, 2018, J CLEAN PROD, V198, P463, DOI 10.1016/j.jclepro.2018.07.062
   Haida C, 2019, LAND USE POLICY, V80, P456, DOI 10.1016/j.landusepol.2018.02.043
   Hoekstra AY, 2007, INTEGRATED ASSESSMENT OF WATER RESOURCES AND GLOBAL CHANGE, P35, DOI 10.1007/s11269-006-9039-x
   Hoekstra AY, 2014, WIRES WATER, V1, P31, DOI 10.1002/wat2.1000
   Holmatov B, 2019, RENEW SUST ENERG REV, V111, P224, DOI 10.1016/j.rser.2019.04.085
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jalava M, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074016
   Lee YJ, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111112
   Link, 2017, J SUSTAIN ED, V12, P1
   Lucio M, 2018, WATER RESOUR MANAG, V32, P4123, DOI 10.1007/s11269-018-2049-7
   Lyle G, 2015, J RURAL STUD, V37, P38, DOI 10.1016/j.jrurstud.2014.10.004
   Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011
   Miglietta PP, 2017, WATER ENVIRON J, V31, P20, DOI 10.1111/wej.12211
   Ministry of Water Resources of the People's Republic of China, 2012, CHINA WATER RESOURCE
   Moss RH, 2019, WEATHER CLIM SOC, V11, P465, DOI 10.1175/WCAS-D-18-0134.1
   Mu L, 2019, J CLEAN PROD, V234, P1072, DOI 10.1016/j.jclepro.2019.06.269
   Neunteufel R., 2012, Wasserverbrauch und Wasserbedarf
   Oel, 2019, DIRECTORY OPEN ACCES
   Orlowsky B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074007
   Palutikof JP, 2019, ENVIRON SCI POLICY, V101, P126, DOI 10.1016/j.envsci.2019.07.018
   Rayner S, 2019, WEATHER CLIM SOC, V11, P277, DOI 10.1175/WCAS-D-18-0103.1
   Ru XJ, 2019, RESOUR CONSERV RECY, V141, P99, DOI 10.1016/j.resconrec.2018.10.019
   Saurí D, 2013, ANNU REV ENV RESOUR, V38, P227, DOI [10.1146/annurev-environ-013113442651, 10.1146/annurev-environ-013113-142651]
   Seelen LMS, 2019, J ENVIRON MANAGE, V242, P246, DOI 10.1016/j.jenvman.2019.04.047
   Seyranian V, 2015, J ENVIRON PSYCHOL, V41, P81, DOI 10.1016/j.jenvp.2014.11.009
   Statistik Austria, 2011, KONSUMERHEBUNG 2009
   UNESCO, 2017, UNESCO CLIM CHANG IN
   United Nations General Assembly, 2015, RESOLUTION ADOPTED G
   Vanham D, 2013, ECOL INDIC, V32, P1, DOI 10.1016/j.ecolind.2013.02.020
   Vulturius G., 2016, BUILDING BRIDGES CHA
   Wang KY, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00086
   Wang YX, 2019, J HYDROL, V575, P794, DOI 10.1016/j.jhydrol.2019.05.076
   Xu GH, 2016, ENVIRON SCI POLICY, V61, P33, DOI 10.1016/j.envsci.2016.03.021
   Zeitoun M, 2010, GLOBAL ENVIRON CHANG, V20, P229, DOI 10.1016/j.gloenvcha.2009.11.003
   Zhang M, 2019, J CLEAN PROD, V219, P11, DOI 10.1016/j.jclepro.2019.02.077
NR 56
TC 0
Z9 0
U1 3
U2 31
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD JUN
PY 2021
VL 28
IS 22
BP 27614
EP 27628
DI 10.1007/s11356-021-12427-6
EA JAN 2021
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SK1JR
UT WOS:000612905900012
PM 33512680
DA 2025-01-10
ER

PT J
AU Halsnæs, K
   Kaspersen, PS
AF Halsnaes, Kirsten
   Kaspersen, Per Skougaard
TI Decomposing the cascade of uncertainty in risk assessments for urban
   flooding reflecting critical decision-making issues
SO CLIMATIC CHANGE
LA English
DT Article
ID CLIMATE; PRECIPITATION; PROJECTIONS
AB Climate change risk assessments traditionally follow an analytical structure in which climate information is linked to impact models, and subsequently to damage models and decision-making tools. This structure generates a wide cascade of uncertainties that accumulate with each analytical step, consequently resulting in a wide range of risk estimates. This cascade of uncertainties can suggest that climate change risk assessments are not very useful in the context of decision-making regarding climate adaptation. However, many of the uncertainties revealed in traditionally structured climate risk assessments are not equally relevant to specific decisions, and presenting wide cascades of uncertainties can mask key decision-making parameters. In this paper, we show how the cascade of uncertainty relevant to decision-making can be reduced by applying an uncertainty decomposition approach, which, in study design, initially identifies the uncertainty cascade elements of particular relevance to the focal decision-making context. We compare the full cascade of uncertainties that emerge in a traditional risk assessment based on linked climate scenarios, impact modeling, and damage cost assessment with the uncertainty cascade generated by a detailed assessment of urban flooding risks where the focus is on key uncertainties in decision-making on climate change adaptation. A case study on flooding from extreme precipitation in the Danish city of Odense is used to decompose major sources of uncertainties in the climate modeling, the hydrological modeling, and the damage cost assessment. The decomposition approach reduces the focal range of damage cost estimates by 7-9 M EUR, which corresponds to a 20-24% reduction in the full uncertainty range without the application of the decomposition approach. Assuming that damage cost assessments can provide an indication of how much society should be willing to spend on climate adaptation, a decomposition approach as presented here could assist decision-makers in increasing the economic effectiveness when investing in protective measures.
C1 [Halsnaes, Kirsten; Kaspersen, Per Skougaard] Tech Univ Denmark, Dept Management Engn, Climate Change & Sustainable Dev CCSD Res Grp, DK-2800 Lyngby, Denmark.
C3 Technical University of Denmark
RP Kaspersen, PS (corresponding author), Tech Univ Denmark, Dept Management Engn, Climate Change & Sustainable Dev CCSD Res Grp, DK-2800 Lyngby, Denmark.
EM pskk@dtu.dk
RI Kaspersen, Per/T-1677-2017; Halsnaes, Kirsten/E-8722-2017
OI Halsnaes, Kirsten/0000-0001-9106-9190
CR [Anonymous], 2013, DIG EL MOD EUR EU DE
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Chambwera M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P945
   Climate policy Initiative, 2017, GLOB LANDSC CLIM FIN
   Cubasch U., 2013, Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415324.007
   Danish Tax Authority, 2017, EJ
   DHI, 2017, MIKE 21 POW DHI
   ESGF, 2016, WCRP CORDEX
   EUROSTAT, 2017, STAT EUR CIT
   Fereday D, 2018, J CLIMATE, V31, P963, DOI 10.1175/JCLI-D-17-0048.1
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Halsnæs K, 2015, CLIM RES, V64, P85, DOI 10.3354/cr01308
   Hawkins E, 2011, CLIM DYNAM, V37, P407, DOI 10.1007/s00382-010-0810-6
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Intergovernmental Panel on Climate Change, 2014, WORKING GROUP 1 CONT
   Jongman B, 2012, NAT HAZARD EARTH SYS, V12, P3733, DOI 10.5194/nhess-12-3733-2012
   Kaspersen Per Skougaard, 2017, Climate Services, V6, P55, DOI 10.1016/j.cliser.2017.06.012
   Kaspersen PS, 2015, REMOTE SENS-BASEL, V7, P8224, DOI 10.3390/rs70608224
   Kent C, 2015, J CLIMATE, V28, P4390, DOI 10.1175/JCLI-D-14-00613.1
   Klimatilpasning. dk, 2017, VAERD
   Kortforsyningen. dk, 2017, NEDB HYDR LEDN
   Kortforsyningen. dk, 2017, VAERD BYGN
   Madsen MS, 2017, GEOPHYS RES LETT, V44, P11606, DOI 10.1002/2017GL075627
   Maraun D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014004
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Moss R.H., 2000, GUIDANCE PAPERS CROS, P33
   Munich RE., 2017, TOPICS GEO NATURAL C
   Sanford T, 2014, NAT CLIM CHANGE, V4, P164, DOI 10.1038/nclimate2148
   Santos JA, 2016, J GEOPHYS RES-ATMOS, V121, P1170, DOI 10.1002/2015JD024399
   Schneider SH, 1983, CO2 CLIMATE SOC BRIE
   Skougaard Kaspersen P, 2017, COMP IMPACTS URBAN D
   Stocker, 2014, CLIMATE CHANGE 2013
   Sunyer MA, 2015, HYDROL EARTH SYST SC, V19, P1827, DOI 10.5194/hess-19-1827-2015
   van den Hoek RE, 2014, GLOBAL ENVIRON CHANG, V24, P373, DOI 10.1016/j.gloenvcha.2013.11.008
   Weitzman ML, 2011, REV ENV ECON POLICY, V5, P275, DOI 10.1093/reep/rer006
   Weng QH, 2001, ENVIRON MANAGE, V28, P737, DOI 10.1007/s002670010258
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Willems P, 2012, IMPACTS OF CLIMATE CHANGE ON RAINFALL EXTREMES AND URBAN DRAINAGE SYSTEMS, P1
   Yang JL, 2011, J SOIL SEDIMENT, V11, P751, DOI 10.1007/s11368-011-0356-1
   Zhang XB, 2017, NAT GEOSCI, V10, P255, DOI 10.1038/NGEO2911
   ,, 2017, EEA Report
NR 41
TC 10
Z9 11
U1 3
U2 40
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2018
VL 151
IS 3-4
BP 491
EP 506
DI 10.1007/s10584-018-2323-y
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA HD4ES
UT WOS:000452480700009
OA Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Zhang, M
   Suren, H
   Holliday, JA
AF Zhang, Man
   Suren, Haktan
   Holliday, Jason A.
TI Phenotypic and Genomic Local Adaptation across Latitude and Altitude in
   <i>Populus trichocarpa</i>
SO GENOME BIOLOGY AND EVOLUTION
LA English
DT Article
DE local adaptation; parallel evolution; population genomics; forest
   genetics
ID BUD SET; EXTENSIVE PARALLELISM; ADAPTIVE EVOLUTION; SELF-ORGANIZATION;
   GROWTH CESSATION; FROST HARDINESS; TRAIT VARIATION; GENE; DIVERGENCE;
   SIGNATURES
AB Local adaptation to climate allows plants to cope with temporally and spatially heterogeneous environments, and parallel phenotypic clines provide a natural experiment to uncover the genomic architecture of adaptation. Though extensive effort has been made to investigate the genomic basis of local adaptation to climate across the latitudinal range of tree species, less is known for altitudinal clines. We used exome capture to genotype 451 Populus trichocarpa genotypes across altitudinal and latitudinal gradients spanning the natural species range, and phenotyped these trees for a variety of adaptive traits in two common gardens. We observed clinal variation in phenotypic traits across the two transects, which indicates climate-driven selection, and coupled gene-based genotype-phenotype and genotype-environment association scans to identify imprints of climatic adaptation on the genome. Although many of the phenotype- and climate-associatedgeneswere unique to one transect, we found evidence of parallelism between latitude and altitude, aswell as significant convergence when we compared our outlier genes with those putatively involved in climatic adaptation in two gymnosperm species. These results suggest that not only genomic constraint during adaptation to similar environmental gradients in poplar but also different environmental contexts, spatial scale, and perhaps redundant function among potentially adaptive genes and polymorphisms lead to divergent adaptive architectures.
C1 [Zhang, Man; Suren, Haktan; Holliday, Jason A.] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
   [Zhang, Man] Beijing Forestry Univ, Sch Landscape Architecture, Natl Engn Res Ctr Floriculture, Beijing, Peoples R China.
C3 Virginia Polytechnic Institute & State University; Beijing Forestry
   University
RP Holliday, JA (corresponding author), Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
EM jah1@vt.edu
FU NSF Plant Genome Research Program [IOS:1054444]; National Institute of
   Food and Agriculture (McIntire Stennis Project) [1005394]
FX We thank Kyle Peer, Clay Sawyers, and Deborah Bird for assistance with
   installation and maintenance of the common garden; Advanced Research
   Computing at Virginia Tech for computational resources; Dr Cees van
   Oosten for assistance phenotyping the British Columbia common garden;
   and Dr Sam Yeaman for assistance with the spruce/pine analysis. We also
   thank two anonymous reviewers and the Associate Editor, whose comments
   improved a previous version of this manuscript. This work was supported
   by the NSF Plant Genome Research Program (IOS:1054444) and the National
   Institute of Food and Agriculture (McIntire Stennis Project 1005394).
CR Altshuler DL, 2006, INTEGR COMP BIOL, V46, P3, DOI 10.1093/icb/icj002
   [Anonymous], 2018, BIORXIV201178
   Basler D, 2014, TREE PHYSIOL, V34, P377, DOI 10.1093/treephys/tpu021
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Böhlenius H, 2006, SCIENCE, V312, P1040, DOI 10.1126/science.1126038
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Browning BL, 2016, AM J HUM GENET, V98, P116, DOI 10.1016/j.ajhg.2015.11.020
   CAMPBELL RK, 1975, BOT GAZ, V136, P290, DOI 10.1086/336817
   DePristo MA, 2011, NAT GENET, V43, P491, DOI 10.1038/ng.806
   Evans LM, 2014, NAT GENET, V46, P1089, DOI 10.1038/ng.3075
   Faria R, 2014, MOL ECOL, V23, P513, DOI 10.1111/mec.12616
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Frewen BE, 2000, GENETICS, V154, P837
   Gailing O, 2009, PHYSIOL PLANTARUM, V137, P509, DOI 10.1111/j.1399-3054.2009.01263.x
   Gornall JL, 2007, CAN J BOT, V85, P1202, DOI 10.1139/B07-079
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Gyllenstrand N, 2007, PLANT PHYSIOL, V144, P248, DOI 10.1104/pp.107.095802
   Halbritter AH, 2015, J EVOLUTION BIOL, V28, P1849, DOI 10.1111/jeb.12701
   Hannerz M, 1999, CAN J FOREST RES, V29, P509, DOI 10.1139/cjfr-29-4-509
   Holliday JA, 2016, NEW PHYTOL, V209, P1240, DOI 10.1111/nph.13643
   Hsu CY, 2011, P NATL ACAD SCI USA, V108, P10756, DOI 10.1073/pnas.1104713108
   HUNTER AF, 1992, J APPL ECOL, V29, P597, DOI 10.2307/2404467
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   Ikeuchi M, 2016, DEVELOPMENT, V143, P1442, DOI 10.1242/dev.134668
   Ji HT, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005471
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Kang GL, 2013, CURR GENOMICS, V14, P250, DOI 10.2174/13892029113149990001
   Kess T, 2018, ECOL EVOL, V8, P8311, DOI 10.1002/ece3.4304
   Kim JY, 2003, EMBO J, V22, P935, DOI 10.1093/emboj/cdg075
   Klepsatel P, 2014, EVOLUTION, V68, P1385, DOI 10.1111/evo.12351
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Li HT, 2010, CAN J FOREST RES, V40, P2082, DOI 10.1139/X10-153
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li P, 2017, PHYSIOL PLANTARUM, V159, P416, DOI 10.1111/ppl.12520
   Liu JZ, 2010, AM J HUM GENET, V87, P139, DOI 10.1016/j.ajhg.2010.06.009
   Manceau M, 2010, PHILOS T R SOC B, V365, P2439, DOI 10.1098/rstb.2010.0104
   Martínková J, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00002
   McGlothlin JW, 2016, CURR BIOL, V26, P1616, DOI 10.1016/j.cub.2016.04.056
   McKown AD, 2014, NEW PHYTOL, V203, P535, DOI 10.1111/nph.12815
   McKown AD, 2014, NEW PHYTOL, V201, P1263, DOI 10.1111/nph.12601
   Ord TJ, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0424-z
   Oubida RW, 2015, FRONT PLANT SCI, V6, DOI [10.3389/fpls2015.00181, 10.3389/fpls.2015.00181]
   Paul LK, 2014, CURR OPIN PLANT BIOL, V17, P86, DOI 10.1016/j.pbi.2013.11.009
   R Core Team, 2015, R LANG ENV STAT COMP
   Ralph P, 2010, GENETICS, V186, P647, DOI 10.1534/genetics.110.119594
   Renaut S, 2014, MOL ECOL, V23, P311, DOI 10.1111/mec.12600
   Rohde A, 2002, PLANT CELL, V14, P1885, DOI 10.1105/tpc.003186
   Rohde A, 2011, TREE PHYSIOL, V31, P472, DOI 10.1093/treephys/tpr038
   Souer E, 1996, CELL, V85, P159, DOI 10.1016/S0092-8674(00)81093-4
   Thomas SC, 2011, TREE PHYSIOL, V31, P1161, DOI 10.1093/treephys/tpr105
   van der Schoot C, 2011, PLANT SCI, V180, P120, DOI 10.1016/j.plantsci.2010.08.009
   Wang B, 2012, NEW PHYTOL, V194, P666, DOI 10.1111/j.1469-8137.2012.04107.x
   Wang J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1444-y
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Westram AM, 2014, MOL ECOL, V23, P4603, DOI 10.1111/mec.12883
   Whitlock M.C., 2009, ANAL BIOL DATA
   Yang J, 2011, EUR J HUM GENET, V19, P807, DOI 10.1038/ejhg.2011.39
   Yeaman S, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007717
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Zhang M, 2016, MOL BIOL EVOL, V33, P2899, DOI 10.1093/molbev/msw169
   Zhang SX, 2018, PLANT PHYSIOL, V177, P1142, DOI 10.1104/pp.18.00354
   Zhou L, 2014, MOL ECOL, V23, P2486, DOI 10.1111/mec.12752
   Zhou LC, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-703
NR 64
TC 35
Z9 40
U1 4
U2 47
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1759-6653
J9 GENOME BIOL EVOL
JI Genome Biol. Evol.
PD AUG
PY 2019
VL 11
IS 8
BP 2256
EP 2272
DI 10.1093/gbe/evz151
PG 17
WC Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology; Genetics & Heredity
GA IV4TV
UT WOS:000484266300018
PM 31298685
OA Green Submitted, gold, Green Published
DA 2025-01-10
ER

PT J
AU Couch, VT
   Salata, S
   Saygin, N
   Frary, A
   Arslan, B
AF Couch, Virginia Thompson
   Salata, Stefano
   Saygin, Nicel
   Frary, Anne
   Arslan, Bertan
TI De-Sealing Reverses Habitat Decay More Than Increasing Groundcover
   Vegetation
SO CLIMATE
LA English
DT Article
DE sustainability; predictive modeling; nature-based solutions; GIS-based
   ecological analysis; habitat quality; habitat decay; anthropogenic
   footprint; de-sealing
ID GREEN INFRASTRUCTURE; URBAN; RESILIENCE; CLIMATE; AREAS; IZMIR; LAND;
   CITY; MITIGATION; KARABURUN
AB Modeling ecosystem services is a growing trend in scientific research, and Nature-based Solutions (NbSs) are increasingly used by land-use planners and environmental designers to achieve improved adaptation to climate change and mitigation of the negative effects of climate change. Predictions of ecological benefits of NbSs are needed early in design to support decision making. In this study, we used ecological analysis to predict the benefits of two NbSs applied to a university masterplan and adjusted our preliminary design strategy according to the first modeling results. Our Area of Interest was the IZTECH campus, which is located in a rural area of the eastern Mediterranean region (Izmir/Turkey). A primary design goal was to improve habitat quality by revitalizing soil. Customized analysis of the Baseline Condition and two NbSs scenarios was achieved by using local values obtained from a high-resolution photogrammetric scan of the catchment to produce flow accumulation and habitat quality indexes. Results indicate that anthropogenic features are the primary cause of habitat decay and that decreasing imperviousness reduces habitat decay significantly more than adding vegetation. This study creates a method of supporting sustainability goals by quickly testing alternative NbSs. The main innovation is demonstrating that early approximation of the ecological benefits of NbSs can inform preliminary design strategy. The proposed model may be calibrated to address specific environmental challenges of a given location and test other forms of NbSs.
C1 [Couch, Virginia Thompson] Izmir Inst Technol, Fac Architecture, Dept Architecture, TR-35430 Izmir, Turkiye.
   [Salata, Stefano] Politecn Milan, Dept Architecture & Urban Studies DAStU, Lab PPTE, I-20133 Milan, Italy.
   [Saygin, Nicel; Arslan, Bertan] Izmir Inst Technol, Fac Architecture, Dept City & Reg Planning, TR-35430 Izmir, Turkiye.
   [Frary, Anne] Izmir Inst Technol, Fac Sci, Dept Mol Biol & Genet, TR-35430 Izmir, Turkiye.
C3 Izmir Institute of Technology; Polytechnic University of Milan; Izmir
   Institute of Technology; Izmir Institute of Technology
RP Couch, VT (corresponding author), Izmir Inst Technol, Fac Architecture, Dept Architecture, TR-35430 Izmir, Turkiye.
EM virginiacouch@iyte.edu.tr; stefano.salata@polimi.it;
   nicelsaygin@iyte.edu.tr; annefrary@iyte.edu.tr; bertanaslan@iyte.edu.tr
RI Frary, Anne/A-5417-2015; Arslan, Bertan/IAN-7033-2023; Salata,
   Stefano/B-9186-2018
OI ARSLAN, BERTAN/0000-0001-8749-7096; Salata, Stefano/0000-0001-9342-9241
FU IZTECH Science Research Project (Bilism Arastirma Projesi)
   [mimfak-bap-0088]; IYTE Living Laboratory and Ecological Park
FX This research was funded by an IZTECH 2021 Science Research Project
   (Bilism Arastirma Projesi) grant, no. mimfak-bap-0088, project name
   "IYTE Living Laboratory and Ecological Park".
CR Abadie LM, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00265
   Adobati F., 2020, City Territ Architect, V7, P9, DOI [10.1186/s40410-020-00117-8, DOI 10.1186/S40410-020-00117-8]
   Akbari H, 2016, J CIV ENG MANAG, V22, P1, DOI 10.3846/13923730.2015.1111934
   Alshuwaikhat HM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030439
   [Anonymous], 2019, DAILY SABAH ONLINE J
   [Anonymous], IMPACT2C PROJ
   Arcidiacono A, 2015, LECT NOTES COMPUT SC, V9158, P35, DOI 10.1007/978-3-319-21410-8_3
   Baykal T.M., 2022, Artvin Coruh Universitesi Uluslararasi Sosyal Bilimler Dergisi, V8, P82
   Chatzidimitriou A, 2016, SUSTAIN CITIES SOC, V26, P27, DOI 10.1016/j.scs.2016.05.004
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Chew SC, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010078
   Childers DL, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.385
   Cive Y.O., 2019, AESOP ANN C 2019 U L, P2964
   Costa J. M., 2018, Water scarcity and sustainable agriculture in semiarid environment: tools, strategies, and challenges for woody crops, P219
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Erdogan Nurdan., 2011, A| Z ITU Journal of the Faculty of Architecture, V8, P91
   European Environment Agency - EEA, 2014, SPAT AN GREEN INFR E, DOI DOI 10.2800/11170
   Fattore E, 2011, ENVIRON RES, V111, P1321, DOI 10.1016/j.envres.2011.06.012
   Fletcher DH, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127079
   Gely C, 2020, BIOL REV, V95, P434, DOI 10.1111/brv.12571
   Gemici Ü, 2003, SCI TOTAL ENVIRON, V312, P155, DOI 10.1016/S0048-9697(03)00008-1
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Government of Turkiye, 2020, DEN FAAL GOST BAL CI
   Gulcin D., 2020, INT J GEOGR GEOGR ED, V42, P689
   Hamstead Z A., 2018, Journal of Extreme Events, V5, P1850018
   Hazar Kalonya D., 2021, ONLINE J ART DES, V9, P294
   Hepcan CC, 2013, ENVIRON MONIT ASSESS, V185, P143, DOI 10.1007/s10661-012-2539-7
   him izmir bel, IZMIR BUYUK SEHIR
   Holt EW, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030424
   Ihobe Environmental Management Agency, 2017, NATURE BASED SOLUTIO
   Izmir Municipality, 2021, IZM PROV DIS RISK RE
   Izmir Municipality Buyuksehir'in, CESM
   IZSU, 2017, IZM DRINK WAT MAST P
   Jiang YF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122224
   Krauss R, 2018, QUATERN INT, V496, P24, DOI 10.1016/j.quaint.2017.01.019
   Kurucu Y., 2010, ANADOLU TARIM BILIM, V25, P20
   Larsen L, 2015, FRONT ECOL ENVIRON, V13, P486, DOI 10.1890/150103
   Lopes Carlos M., 2018, E3S Web of Conferences, V50, DOI 10.1051/e3sconf/20185001004
   Lourdes KT, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104500
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Madrigano J, 2015, ENVIRON HEALTH PERSP, V123, P672, DOI 10.1289/ehp.1408178
   Maienza A, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030190
   Marchioni M., 2015, International Journal of Sustainable Development and Planning, V10, P806
   Marraccini E, 2015, APPL GEOGR, V62, P347, DOI 10.1016/j.apgeog.2015.05.004
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Morabito M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10010026
   Münch Z, 2019, LAND-BASEL, V8, DOI 10.3390/land8020033
   Pazi I., 2015, AEGEAN SEA MARINE BI
   Pouya S., 2018, TURK J FOR SCI, V2, P98, DOI DOI 10.32328/TURKJFORSCI.381899
   Pravalie R, 2017, CATENA, V158, P309, DOI 10.1016/j.catena.2017.07.006
   Ronchi S., 2021, P 3 WORLD C SOC URBA, P164
   ROSENFELD AH, 1995, ENERG BUILDINGS, V22, P255, DOI 10.1016/0378-7788(95)00927-P
   Rouse DavidC., 2013, Green Infrastructure: A Landscape Approach
   Ruiz MC, 2012, AUTOMAT CONSTR, V22, P320, DOI 10.1016/j.autcon.2011.09.009
   Salata S., 2017, ONE ECOSYST, V2, P11402, DOI [DOI 10.3897/ONEECO.2.E11402, 10.3897/oneeco.2.e11402]
   Salata S., 2021, POLICIES PRACTICES E, P205
   Salata S, 2022, ENG BASEL, V3, P325, DOI 10.3390/eng3030024
   Salata S, 2022, LAND-BASEL, V11, DOI 10.3390/land11030416
   Salata S, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6010019
   Salata S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187751
   Sallustio L, 2017, J ENVIRON MANAGE, V201, P129, DOI 10.1016/j.jenvman.2017.06.031
   Sanesi G, 2017, LANDSCAPE RES, V42, P164, DOI 10.1080/01426397.2016.1173658
   Saraiva A, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090934
   Sariçam SY, 2010, EKOLOJI, V19, P42, DOI 10.5053/ekoloji.2010.777
   Sharp R., 2022, InVEST 3.13.0.post11+ug.Gfa34215 User's Guide
   Sharps K, 2017, SCI TOTAL ENVIRON, V584, P118, DOI 10.1016/j.scitotenv.2016.12.160
   Silvennoinen S, 2017, ECOSYST SERV, V28, P17, DOI 10.1016/j.ecoser.2017.09.013
   Song CR, 2015, INT J ENV RES PUB HE, V12, P14216, DOI 10.3390/ijerph121114216
   surdurulebilir iyte, WEBSITE OFFICIAL SU
   Tatar O., 2021, TURK J EARTH SCI, V30, P5, DOI [10.3906/yer-2101-9, DOI 10.3906/YER-2101-9]
   Thompson CW, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123317
   Toparlar Y, 2018, INT J CLIMATOL, V38, pE303, DOI 10.1002/joc.5371
   Treglia ML, 2022, ECOL SOC, V27, P13, DOI 10.5751/ES-13303-270320
   TURKSTAT Turkish Statistical Institute, 2022, ADDR BAS POP REG SYS
   Uzelli T, 2017, GEOTHERMICS, V68, P67, DOI 10.1016/j.geothermics.2017.03.003
   Velibeyoglu K., 2014, 'Urla-Cesme-Karaburun' Peninsula Sustainable Development Strategy 2014-2023
   Venter ZS, 2021, ECOSYST SERV, V50, DOI 10.1016/j.ecoser.2021.101314
   Watkin LJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236788
   Wong LP, 2017, SUSTAIN CITIES SOC, V35, P660, DOI 10.1016/j.scs.2017.09.026
   Zagaria C, 2023, AGR SYST, V205, DOI 10.1016/j.agsy.2022.103586
NR 81
TC 3
Z9 3
U1 13
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD JUN
PY 2023
VL 11
IS 6
AR 116
DI 10.3390/cli11060116
PG 22
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA K5RL5
UT WOS:001017011500001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Guo, XA
   Cheng, J
   Yin, CL
   Li, Q
   Chen, RS
   Fang, JY
AF Guo, Xiaona
   Cheng, Jie
   Yin, Chenglong
   Li, Qiang
   Chen, Ruishan
   Fang, Jiayi
TI The extraordinary Zhengzhou flood of 7/20, 2021: How extreme weather and
   human response compounding to the disaster
SO CITIES
LA English
DT Article
DE Extraordinary Zhengzhou flood; Extreme weather; Human response; Compound
ID CLIMATE-CHANGE; RISK; ATTRIBUTION; DYNAMICS; EVENTS
AB Extreme flooding brought by climate change is becoming the new normal globally, creating numerous threats to life and economic losses. In particular, the lack of preparedness for flooding events in inland regions will compound the losses. However, the causes, impacts, and responses to these disasters in inland areas remain poorly understood. Here, using the recent 7 center dot 20 flood disaster in 2021 in the inland province of Henan, China, as an example, we examine the extreme flood, the impacts, and how the climate extremeness and inappropriate human responses caused the great damage. Results showed that the average cumulative precipitation in Zhengzhou was above 250 mm when the flood happened. 10.29 % of the total area and 7.55 % of the total population in Zhengzhou were flooded. Cropland, urban built-up, industrial, and residential areas were hit hardest in terms of land cover type and urban function zone. The Zhengzhou flood was a compound effect of multiple natural hazards reaching the region simultaneously and, on top of this, the region's extreme lack of preparation. Our paper not only took the human response into the current flood risk and flood control system but also put forward transformative measures to improve cities' adaptability to climate change in China and beyond. This paper will be a wake-up call for addressing the human factors exacerbating climate change-related disasters and will provide a reference for transformative disaster governance in inland areas worldwide.
C1 [Guo, Xiaona; Li, Qiang; Chen, Ruishan] Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
   [Cheng, Jie; Yin, Chenglong] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China.
   [Li, Qiang] Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200240, Peoples R China.
   [Fang, Jiayi] Hangzhou Normal Univ, Inst Remote Sensing & Earth Sci, Hangzhou 311121, Peoples R China.
   [Chen, Ruishan] Shanghai Jiao Tong Univ, Sch Design, Dongchuan Rd 800, Shanghai 200240, Peoples R China.
C3 Shanghai Jiao Tong University; East China Normal University; Shanghai
   Jiao Tong University; Hangzhou Normal University; Shanghai Jiao Tong
   University
RP Chen, RS (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.; Chen, RS (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Dongchuan Rd 800, Shanghai 200240, Peoples R China.
EM 51213901009@stu.ecnu.edu.cn; rschen@sjtu.edu.cn; jyfang@geo.ecnu.edu.cn
RI Fang, Jiayi/LKL-2195-2024
FU National Key R&D Program of China [2017YFC1503001]; National Social
   Science Fund of China [20ZDA085]
FX Acknowledgements This study has been conducted with the support of the
   National Key R&D Program of China (2017YFC1503001) and the National
   Social Science Fund of China (20ZDA085) .
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   [Anonymous], 2021, HENAN HELD ITS 10 NE
   Cai T, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101077
   Cao T., 2021, ZHENGZHOU DAILY
   Chen J., 2021, EXAMINATION ADVICE Z
   [陈素景 Chen Sujing], 2017, [地球信息科学学报, Journal of Geo-Information Science], V19, P365
   Chen Y, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL092549
   Commission E., 2021, POLICY TOPICS NATURE
   Deng PX, 2022, ATMOS RES, V276, DOI 10.1016/j.atmosres.2022.106258
   Dewan TH, 2015, WEATHER CLIM EXTREME, V7, P36, DOI 10.1016/j.wace.2014.11.001
   [丁一汇 Ding Yihui], 2015, [气象学报, Acta Meteorologica Sinica], V73, P411
   DITSC, 2022, INVESTIGATION REPORT
   Doan QV, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002563
   Du S., 2019, NATURAL HAZARDS EART, P1
   Feng S., 2021, 2021 CHINA BUSINESS
   Feyen L, 2012, CLIMATIC CHANGE, V112, P47, DOI 10.1007/s10584-011-0339-7
   Flavelle C., 2020, The New York Times
   Forrest SA, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102843
   [高志强 GAO Zhiqiang], 2006, [地理学报, Acta Geographica Sinica], V61, P865
   Gong P, 2020, SCI BULL, V65, P182, DOI 10.1016/j.scib.2019.12.007
   GPA G. P. A., 2021, DAILY SABAH
   Gu P., 2008, HENAN WATER RESOURCE, P15
   Guo XN, 2021, SCIENCE, V374, P831, DOI 10.1126/science.abm7149
   Hulme M, 2014, PROG PHYS GEOG, V38, P499, DOI 10.1177/0309133314538644
   Ingleton J., 1999, Natural disaster management: A presentation to commemorate the international decade for natural disaster reduction IDNDR 1990-2000
   Jentsch A, 2007, FRONT ECOL ENVIRON, V5, P365, DOI 10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
   Jia S., 2019, YANGTZE RIVER, V50, P213, DOI [10.16232/j.cnki.1001-4179.2019.02.038, DOI 10.16232/J.CNKI.1001-4179.2019.02.038]
   Jun C, 2014, NATURE, V514, P434, DOI 10.1038/514434c
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Koks E., 2021, Natural Hazards and Earth System Sciences Discussions, P1, DOI [DOI 10.5194/NHESS-2021-394, 10.5194/nhess-2021-394]
   Li L., 2015, Handbook of Epoxy Blends, P1, DOI 10.1109/ICSENS
   [林丹淳 Lin Danchun], 2020, [热带地理, Tropical Geography], V40, P346
   Liu S., 2021, 2021 XINHUANET
   Masson-Delmotte V., 2021, CLIMATE CHANGE 2014, DOI [10.1016/S0925-7721(01)00003-7, DOI 10.1016/S0925-7721(01)00003-7]
   Mathiesen Karl, 2021, Politico
   Meng M, 2022, CITIES, V126, DOI 10.1016/j.cities.2022.103702
   Merz B, 2014, NAT HAZARD EARTH SYS, V14, P1921, DOI 10.5194/nhess-14-1921-2014
   Messori G, 2021, B AM METEOROL SOC, V102, pE774, DOI 10.1175/BAMS-D-20-0289.1
   Mitchell A., 2005, The ESRI guide to GIS analysis
   Mohr S., 2022, NATURAL HAZARDS EART, P1
   NOHG, 2021, HEN HELD ITS 10 NEWS
   Oates L., 2020, BUILDING CLIMATE RES
   Otto FEL, 2017, ANNU REV ENV RESOUR, V42, P627, DOI 10.1146/annurev-environ-102016-060847
   PGHP, 2022, DIR EC LOSS RAINST A
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Rahman M, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2021.101224
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Samuels PG, 2006, NATO SCI S SS IV EAR, V67, P21
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Singh J, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00161-2
   Stott PA, 2016, WIRES CLIM CHANGE, V7, P23, DOI 10.1002/wcc.380
   Tanoue M, 2016, SCI REP-UK, V6, DOI 10.1038/srep36021
   Tao ZR, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010488
   Wang Y., 2005, CHINA WATER RESOURCE, V16, P42
   Wu SJ, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.636777
   Xu J., 2001, SCI GEOGRAPHICA SINI, V21, P385
   YSHJ Y., 2021, URBAN FLOOD RISK MAN
NR 58
TC 50
Z9 55
U1 72
U2 167
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD MAR
PY 2023
VL 134
AR 104168
DI 10.1016/j.cities.2022.104168
EA DEC 2022
PG 13
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 8E2BV
UT WOS:000918786100001
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Endres, T
   Lovell, O
   Morkunas, D
   Riess, W
   Renkl, A
AF Endres, Tino
   Lovell, Oliver
   Morkunas, David
   Riess, Werner
   Renkl, Alexander
TI Can prior knowledge increase task complexity? - Cases in which higher
   prior knowledge leads to higher intrinsic cognitive load
SO BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY
LA English
DT Article
DE cognitive load theory; intrinsic load; prior knowledge; problem
   representations; problem-solving
ID INSTRUCTIONAL-DESIGN
AB Background & AimsCognitive load theory assumes that the higher the learner's prior knowledge (i.e., the more expert the learner), the lower the intrinsic cognitive load (complexity) experienced for a given problem. While this is the case in many scenarios, there can be cases in which the converse is also true, resulting in more expert learners reporting higher intrinsic cognitive load than novices for the same problem. This can occur in relation to problems involving complex systems (e.g., ecological systems), for which novices' problem representations may underestimate problem complexity and therefore report lower intrinsic load than experts. This finding is borne out in the current paper. Samples, Methods & ResultsIn Study 1 with 118 participants from the Black Forest area in Germany, participants with higher levels of forestry and ecological expertise evaluated a problem relating to the restructuring of the Black Forest to adapt to climate change as more complex than did novices. In Study 2 (within-subjects design, n = 66 primary-school students), we conceptually replicated this finding in a domain more typical of cognitive load theory studies, mathematics. We found that higher prior knowledge also reduced the underestimation of the complexity of 'tricky', but frequently used, mathematics word problems. ConclusionOur findings suggest that cognitive load theory's assumptions about intrinsic load and prior knowledge should be refined, as there seems to exist a sub-set of problem-solving tasks for which the traditional relationship between prior knowledge and reported ICL is reversed.
C1 [Endres, Tino; Lovell, Oliver; Renkl, Alexander] Albert Ludwig Univ Freiburg, Freiburg, Germany.
   [Lovell, Oliver] Brighton Grammar Sch, Crowther Ctr, Melbourne, Vic, Australia.
   [Morkunas, David] Bentleigh West Primary Sch, Melbourne, Vic, Australia.
   [Riess, Werner] Univ Educ Freiburg, Freiburg, Germany.
   [Endres, Tino] Univ Freiburg, Dept Psychol Educ & Dev Psychol, Engelbergerstr 41, D-79085 Freiburg, Germany.
C3 University of Freiburg; Freiburg University of Education; University of
   Freiburg; University of Freiburg
RP Endres, T (corresponding author), Univ Freiburg, Dept Psychol Educ & Dev Psychol, Engelbergerstr 41, D-79085 Freiburg, Germany.
EM tino.endres@psychologie.uni-freiburg.de
RI Renkl, Alexander/K-6130-2012; Endres, Tino/HKF-0950-2023; Riess,
   Werner/K-9737-2018
OI Endres, Tino/0000-0003-3334-4064; Riess, Werner/0000-0002-3657-3359
CR Ayres P, 2006, LEARN INSTR, V16, P389, DOI 10.1016/j.learninstruc.2006.09.001
   Bannert M, 2002, LEARN INSTR, V12, P139, DOI 10.1016/S0959-4752(01)00021-4
   Clarke T, 2005, ETR&D-EDUC TECH RES, V53, P15, DOI 10.1007/BF02504794
   de Bruin ABH, 2020, EDUC PSYCHOL REV, V32, P903, DOI 10.1007/s10648-020-09576-4
   Eitel A, 2020, EDUC PSYCHOL REV, V32, P1073, DOI 10.1007/s10648-020-09559-5
   Fanta D, 2020, J BIOL EDUC, V54, P226, DOI 10.1080/00219266.2019.1569083
   Kalyuga S, 2010, INSTR SCI, V38, P209, DOI 10.1007/s11251-009-9102-0
   Kapur M, 2010, INSTR SCI, V38, P523, DOI 10.1007/s11251-009-9093-x
   KINTSCH W, 1988, PSYCHOL REV, V95, P163, DOI 10.1037/0033-295X.95.2.163
   Klepsch M, 2021, FRONT EDUC, V6, DOI 10.3389/feduc.2021.645284
   Klepsch M, 2020, INSTR SCI, V48, DOI 10.1007/s11251-020-09502-9
   Klepsch M, 2017, FRONT PSYCHOL, V8, DOI 10.3389/fpsyg.2017.01997
   Krieglstein F, 2022, EDUC PSYCHOL REV, V34, P2485, DOI 10.1007/s10648-022-09683-4
   Lovell O., 2020, Sweller's cognitive load theory in action
   Martin L, 2012, TECHNOL KNOWL LEARN, V17, P87, DOI 10.1007/s10758-012-9193-6
   McNamara DS, 1996, DISCOURSE PROCESS, V22, P247, DOI 10.1080/01638539609544975
   Paas F, 2003, EDUC PSYCHOL, V38, P1, DOI 10.1207/S15326985EP3801_1
   Renkl A., 2022, THEIR OWN WORDS WHAT
   Rotgans JI, 2014, LEARN INSTR, V32, P37, DOI 10.1016/j.learninstruc.2014.01.002
   Sweeneya LB, 2007, SYST DYNAM REV, V23, P285, DOI 10.1002/sdr.366
   SWELLER J, 1994, COGNITION INSTRUCT, V12, P185, DOI 10.1207/s1532690xci1203_1
   Sweller J., 1985, Cognition and Instruction, V2, P59, DOI [10.1207/s1532690xci02013, DOI 10.1207/S1532690XCI02013, 10.1207/s1532690xci0201_3, DOI 10.1207/S1532690XCI0201_3, 10.1007/978-1-4419-8126-4]
   Sweller J, 2019, EDUC PSYCHOL REV, V31, P261, DOI 10.1007/s10648-019-09465-5
   Sweller J, 2011, PSYCHOL LEARN MOTIV, V55, P37
   Sweller J, 2010, EDUC PSYCHOL REV, V22, P123, DOI 10.1007/s10648-010-9128-5
   van Gog T, 2015, EDUC PSYCHOL REV, V27, P247, DOI 10.1007/s10648-015-9310-x
   Verschaffel L., 1994, Learning Instruction, V4, P273, DOI [10.1016/0959-4752(94)90002, DOI 10.1016/0959-4752(94)90002]
NR 27
TC 16
Z9 17
U1 18
U2 55
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0007-0998
EI 2044-8279
J9 BRIT J EDUC PSYCHOL
JI Br. J. Educ. Psychol.
PD AUG
PY 2023
VL 93
SU 2
SI SI
BP 305
EP 317
DI 10.1111/bjep.12563
EA NOV 2022
PG 13
WC Psychology, Educational
WE Social Science Citation Index (SSCI)
SC Psychology
GA O0KX3
UT WOS:000890374400001
PM 36437516
OA hybrid
DA 2025-01-10
ER

PT J
AU Hewitt, CD
   Guglielmo, F
   Joussaume, S
   Bessembinder, J
   Christel, I
   Doblas-Reyes, FJ
   Djurdjevic, V
   Garrett, N
   Kjellström, E
   Krzic, A
   Costa, MM
   St Clair, AL
AF Hewitt, C. D.
   Guglielmo, F.
   Joussaume, S.
   Bessembinder, J.
   Christel, I
   Doblas-Reyes, F. J.
   Djurdjevic, V
   Garrett, N.
   Kjellstrom, E.
   Krzic, A.
   Costa, M. Manez
   St Clair, A. L.
TI Recommendations for Future Research Priorities for Climate Modeling and
   Climate Services
SO BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
LA English
DT Article
DE Climate change; Climate prediction; Climate variability; Climate
   prediction; Climate models
ID EARTH SYSTEM; PROSPECTS
AB Climate observations, research, and models are used extensively to help understand key processes underlying changes to the climate on a range of time scales from months to decades, and to investigate and describe possible longer-term future climates. The knowledge generated serves as a scientific basis for climate services that are provided with the aim of tailoring information for decision-makers and policy-makers. Climate models and climate services are crucial elements for supporting policy and other societal actions to mitigate and adapt to climate change, and for making society better prepared and more resilient to climate-related risks. We present recommendations for future research topics for climate modeling and for climate services. These recommendations were produced by a group of experts in climate modeling and climate services, selected based on their individual leadership roles or participation in international activities. The recommendations were reached through extensive analysis, consideration and discussion of current and desired research capabilities, and wider engagement and refinement of the recommendations was achieved through a targeted workshop of initial recommendations and an open meeting at the European Geosciences Union General Assembly. The findings emphasize how research and innovation activities in the fields of climate modeling and climate services can contribute to improving climate knowledge and information with saliency for users in order to enhance capacity to transition to a sustainable and resilient society. The findings are relevant worldwide but are deliberately intended to influence the European Commission's next major multi-annual framework program of research and innovation over the period 2021-27.
C1 [Hewitt, C. D.; Garrett, N.] Met Off, Exeter, Devon, England.
   [Hewitt, C. D.] Univ Southern Queensland, Toowoomba, Qld, Australia.
   [Guglielmo, F.] European Ctr Medium Range Weather Forecasts, Reading, Berks, England.
   [Joussaume, S.] Lab Sci Climat & Environm, Gif Sur Yvette, France.
   [Bessembinder, J.] Royal Dutch Meteorol Inst KNMI, De Bilt, Netherlands.
   [Christel, I; Doblas-Reyes, F. J.; St Clair, A. L.] Barcelona Supercomp Ctr, Barcelona, Spain.
   [Doblas-Reyes, F. J.] ICREA, Barcelona, Spain.
   [Djurdjevic, V] Univ Belgrade, Fac Phys, Belgrade, Serbia.
   [Djurdjevic, V; Krzic, A.] Republ Hydrometeorol Serv Serbia, Belgrade, Serbia.
   [Kjellstrom, E.] Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden.
   [Costa, M. Manez] Helmholtz Zentrum, Climate Serv Ctr Germany, Geesthacht, Germany.
C3 Met Office - UK; University of Southern Queensland; European Centre for
   Medium-Range Weather Forecasts (ECMWF); Universite Paris Saclay; Royal
   Netherlands Meteorological Institute; Universitat Politecnica de
   Catalunya; Barcelona Supercomputer Center (BSC-CNS); ICREA; University
   of Belgrade; Swedish Meteorological & Hydrological Institute; Helmholtz
   Association; Helmholtz-Zentrum Hereon
RP Hewitt, CD (corresponding author), Met Off, Exeter, Devon, England.; Hewitt, CD (corresponding author), Univ Southern Queensland, Toowoomba, Qld, Australia.
EM chris.hewitt@metoffice.gov.uk
RI Costa, Maria/P-1225-2017; Garrett, Natalie/AFL-1803-2022
OI Hewitt, Chris/0000-0002-4718-4009; Djurdjevic,
   Vladimir/0000-0001-9882-1189; Jimenez, Isadora
   Christel/0000-0002-2046-2400; Krzic, Aleksandra/0000-0002-5871-4300
FU European Commission through the Horizon 2020 Programme for Research and
   Innovation [689029]; H2020 Societal Challenges Programme [689029]
   Funding Source: H2020 Societal Challenges Programme
FX This work was conducted under the Climateurope project funded by the
   European Commission through the Horizon 2020 Programme for Research and
   Innovation: Grant Agreement 689029. We would like to acknowledge the
   European Commission for wanting to have the recommendations, and the
   following experts who contributed their time and ideas through workshops
   and discussions: Mario Acosta, Dragana Bojovic, Laurent Bopp, Olivier
   Boucher, Pascale Braconnot, Carlo Buontempo, Markus Donat, Eric Hoa,
   Bart van den Hurk, Daniela Jacob, Colin Jones, Filip Lefebre, Jaroslav
   Mysiak, Slobodan Nickovic, Steffen M. Olsen, Mark Payne, Adriaan
   Perrels, Joeri Rogelj, Doug Smith, Roger Street, Jean-Noel Thepaut,
   Alberto Troccoli, Pier Luigi Vidale, and Ilaria Vigo. We also would like
   to thank the two anonymous reviewers.
CR Boer GJ, 2016, GEOSCI MODEL DEV, V9, P3751, DOI 10.5194/gmd-9-3751-2016
   Brooks MS, 2013, B AM METEOROL SOC, V94, P807, DOI 10.1175/BAMS-D-12-00087.1
   Brugnach M, 2012, ENVIRON SCI POLICY, V15, P60, DOI 10.1016/j.envsci.2011.10.005
   Buontempo C, 2018, CLIM SERV, V9, P21, DOI 10.1016/j.cliser.2017.06.003
   Coppola E, 2020, CLIM DYNAM, V55, P3, DOI 10.1007/s00382-018-4521-8
   Costa MM, 2017, EARTHS FUTURE, V5, P1027, DOI 10.1002/2017EF000597
   Cubasch U, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P119
   Deser C, 2020, NAT CLIM CHANGE, V10, P277, DOI 10.1038/s41558-020-0731-2
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Goodess CM, 2019, CLIM SERV, V16, DOI 10.1016/j.cliser.2019.100139
   Hallegatte S., 2012, 6058 WORLD BANK
   Hansen J., 2019, BACKGROUND PAPER GLO
   Heder M., 2017, INNOVATION J PUBLIC, V22, DOI DOI 10.3389/FPLS.2017.01058
   Heinze C, 2019, EARTH SYST DYNAM, V10, P379, DOI 10.5194/esd-10-379-2019
   Hewitt C., 2017, CLIM SERV, V6, P77, DOI [10.1016/j.cliser.2017.07.004, DOI 10.1016/J.CLISER.2017.07.004]
   Hewitt CD, 2020, B AM METEOROL SOC, V101, pE237, DOI 10.1175/BAMS-D-18-0211.1
   Hewitt CD, 2020, J METEOROL RES-PRC, V34, P893, DOI 10.1007/s13351-020-0042-6
   Hoa E, 2018, CLIM SERV, V11, P86, DOI 10.1016/j.cliser.2018.08.001
   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
   Kendon EJ, 2017, B AM METEOROL SOC, V98, P79, DOI 10.1175/BAMS-D-15-0004.1
   Kushnir Y, 2019, NAT CLIM CHANGE, V9, P94, DOI 10.1038/s41558-018-0359-7
   MassonDelmotte V., 2018, GLOB WARM 15 C IPCC, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   National Research Council ,, 2000, FROM RES OP WEATH SA, P96, DOI [10.17226/9948, DOI 10.17226/9948]
   Palmer T, 2019, P NATL ACAD SCI USA, V116, P24390, DOI 10.1073/pnas.1906691116
   Perrels A, 2020, CLIM SERV, V17, DOI 10.1016/j.cliser.2020.100153
   Rölfer L, 2020, CLIM SERV, V18, DOI 10.1016/j.cliser.2020.100168
   Schär C, 2020, B AM METEOROL SOC, V101, pE567, DOI 10.1175/BAMS-D-18-0167.1
   Seneviratne SI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001474
   Smith DM, 2019, NPJ CLIM ATMOS SCI, V2, DOI 10.1038/s41612-019-0071-y
   Solaraju-Murali B, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab5043
   van den Hurk B, 2018, CLIM SERV, V12, P59, DOI 10.1016/j.cliser.2018.11.002
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   WCRP Joint Scientific Committee, 2019, WCRP PUBLICATION
   WMO, 2015, VAL WEATH CLIM EC AS, V1153, P286
   WMO, 2018, GUID QUAL MAN CLIM S, V1221, P42
   Zeng YJ, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11101186
NR 36
TC 28
Z9 30
U1 0
U2 20
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 0003-0007
EI 1520-0477
J9 B AM METEOROL SOC
JI Bull. Amer. Meteorol. Soc.
PD MAR
PY 2021
VL 102
IS 3
BP E578
EP E588
DI 10.1175/BAMS-D-20-0103.1
PG 11
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA RW9GC
UT WOS:000646826300008
OA Bronze, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Bodmer, R
   Mayor, P
   Antunez, M
   Fang, T
   Chota, K
   Yuyarima, TA
   Flores, S
   Cosgrove, B
   López, N
   Pizuri, O
   Puertas, P
AF Bodmer, Richard
   Mayor, Pedro
   Antunez, Miguel
   Fang, Tula
   Chota, Kimberlyn
   Yuyarima, Tulio Ahuanari
   Flores, Samuel
   Cosgrove, Benjamin
   Lopez, Nathaly
   Pizuri, Osnar
   Puertas, Pablo
TI Wild Meat Species, Climate Change, and Indigenous Amazonians
SO JOURNAL OF ETHNOBIOLOGY
LA English
DT Article
DE resource use; sustainable hunting; Indigenous people; wild meat; Amazon
ID TAYASSU-PECARI; SUSTAINABILITY; FORESTS; BASIN; DEFORESTATION;
   COMMUNITIES; DENSITIES; DYNAMICS; TAJACU; PREY
AB People throughout the world are adapting to alternative livelihoods as climate change transforms the earth. The western Amazon basin has recently gone through extreme flood levels that resulted in population declines of species used for wild meat, principally white-lipped peccary (Tayassu pecari), collared peccary (Pecari tajacu), red brocket deer (Mazama americana), lowland paca (Cuniculus paca), and black agouti (Dasyprocta fuliginosa). The Cocama (Kukama) people of the Samiria River have adapted to the declining wild meat populations by greatly reducing hunting and increasing their fishing activity. We evaluated the sustainability of subsistence hunting of peccaries, deer, lowland tapir (Tapirus terrestris), large rodents, and primates in flooded forests of the Pacaya-Samiria National Reserve using camera trap capture rates, density from distance transects, and participatory interviews with Cocama villagers from 2009 to 2018. Peccaries, deer, and large rodents are recovering from population declines that occurred during extreme floods, which suggests that hunting levels are allowing these populations to grow. The primates and lowland tapir have healthy population sizes and stable numbers, which suggests people are hunting these species at sustainable levels. Our results indicate that changes in hunting patterns by the Cocama have permitted peccary, deer, and large rodent populations to recover to varying degrees during years of normal flood levels. The Cocama people are adapting to climate change in a way that agrees with conservation goals and reinforces the importance of community-based approaches to conservation in the Amazon.
C1 [Bodmer, Richard; Mayor, Pedro; Antunez, Miguel; Fang, Tula; Chota, Kimberlyn; Yuyarima, Tulio Ahuanari; Flores, Samuel; Lopez, Nathaly; Pizuri, Osnar] Fundamazonia, Museum Indigenous Amazonian Cultures, 332 Malecon Tarapaca, Iquitos, Loreto, Peru.
   [Bodmer, Richard; Cosgrove, Benjamin] Univ Kent, Sch Anthropol & Conservat, Durrell Inst Conservat & Ecol, Canterbury, Kent, England.
   [Mayor, Pedro] Univ Autonoma Barcelona, Dept Sanitat & Anat Anim, Bellaterra, Spain.
   [Puertas, Pablo] Inst Invest Amazonia Peruana, Iquitos, Loreto, Peru.
C3 University of Kent; Autonomous University of Barcelona
RP Bodmer, R (corresponding author), Fundamazonia, Museum Indigenous Amazonian Cultures, 332 Malecon Tarapaca, Iquitos, Loreto, Peru.; Bodmer, R (corresponding author), Univ Kent, Sch Anthropol & Conservat, Durrell Inst Conservat & Ecol, Canterbury, Kent, England.
EM r.bodmer@kent.ac.uk
RI Mayor, Pedro/AAC-2871-2021; Mayor, Pedro/D-6359-2015
OI Antunez Correa, Miguel/0000-0002-5612-2563; Mayor,
   Pedro/0000-0001-5297-792X
FU FundAmazonia; CIFOR; WCS; Earthwatch Institute; Operation Wallacea;
   Operation Earth; AmazonEco
FX We thank the Peruvian Ministry of the Environment and the Peruvian
   Protected Area Authority (SERNANP) for permits and collaborations.
   Special thanks are given to the personnel of the Pacaya-Samiria National
   Reserve, the Cocama communities of the Samiria River, P. Gamboa, A.
   Neyra, L. F. Vela, M. Arenas, T. Coles, A. Tozer, C. Dunn, S. Rullman,
   L. Chen, M. Pinedo, R. Nasi, and O. Fang for their collaboration and
   support of the study. Funding for this study was provided by
   FundAmazonia, CIFOR, WCS, Earthwatch Institute, Operation Wallacea,
   Operation Earth, and AmazonEco.
CR [Anonymous], 2001, Mamiferos de la Cuenca del Rio Samiria: ecologia, poblacional y sustentabilidad de la caza
   Antunes AP, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1600936
   Asner G., 2014, HIGH RESOLUTION CARB
   Ayres M., 1998, BIOESTAT
   Blackman A, 2017, P NATL ACAD SCI USA, V114, P4123, DOI 10.1073/pnas.1603290114
   Bodmer R., 2017, CBD Technical Series, P81
   BODMER RE, 1990, J TROP ECOL, V6, P191, DOI 10.1017/S0266467400004314
   Bodmer RE, 2001, CONSERV BIOL, V15, P1163, DOI 10.1046/j.1523-1739.2001.0150041163.x
   Bodmer RE, 1997, CONSERV BIOL, V11, P460, DOI 10.1046/j.1523-1739.1997.96022.x
   Bodmer R, 2018, CONSERV BIOL, V32, P333, DOI 10.1111/cobi.12993
   Brooks D.M., 1997, Tapirs: Status Survey and Conservation Action Plan
   Buckland S.T., 2001, pi
   Carbone C, 2001, ANIM CONSERV, V4, P75, DOI 10.1017/S1367943001001081
   Espinoza JC, 2013, J HYDROMETEOROL, V14, P1000, DOI 10.1175/JHM-D-12-0100.1
   Cartro-Sabaté M, 2019, NAT SUSTAIN, V2, P702, DOI 10.1038/s41893-019-0338-7
   Constantino PAL, 2015, APPL GEOGR, V56, P222, DOI 10.1016/j.apgeog.2014.11.015
   Davidson EA, 2012, NATURE, V481, P321, DOI 10.1038/nature10717
   El Bizri HR, 2018, J MAMMAL, V99, P1101, DOI 10.1093/jmammal/gyy102
   EMMONS LH, 1987, BEHAV ECOL SOCIOBIOL, V20, P271, DOI 10.1007/BF00292180
   Endo W, 2016, BIOL CONSERV, V201, P129, DOI 10.1016/j.biocon.2016.07.006
   Fang T., 2008, CERTIFICACION PIELES
   Fragoso J., 2006, BIOTROPICA, V30, P458
   Gow Peter., 2007, Time and memory in indigenous Amazonia, P194
   Kalliola R., 1998, Geoecologia y Desarrollo Amazonico
   Keuroghlian A, 2004, BIOL CONSERV, V120, P411, DOI 10.1016/j.biocon.2004.03.016
   Kirkland M, 2020, ORYX, V54, P260, DOI 10.1017/S0030605317001922
   Kvist LP, 2001, FOREST ECOL MANAG, V150, P175, DOI 10.1016/S0378-1127(00)00689-7
   Levi T, 2011, ECOL APPL, V21, P1802, DOI 10.1890/10-0375.1
   Mayor P, 2017, CONSERV BIOL, V31, P912, DOI 10.1111/cobi.12870
   Medinaceli A, 2018, ETHNOBIOL LETT, V9, P230, DOI 10.14237/ebl.9.2.2018.1154
   Nepstad D, 2006, CONSERV BIOL, V20, P65, DOI 10.1111/j.1523-1739.2006.00351.x
   Nolte C, 2013, P NATL ACAD SCI USA, V110, P4956, DOI 10.1073/pnas.1214786110
   Padoch C., 1988, People of the Tropical Rain Forest, P127
   Peres CA, 2000, OECOLOGIA, V122, P175, DOI 10.1007/PL00008845
   Peres CA, 2007, BIOTROPICA, V39, P304, DOI 10.1111/j.1744-7429.2007.00272.x
   Perez-Pena Pedro, 2017, Folia Amazonica, V26, P103
   Puertas P, 2017, PHYLOGENY MOL POPULA, P551
   Qin D., 2013, IPCC CLIMATE CHANGE
   Robinson JG, 2000, BIOL RESOURCE MANAGE, P13
   Rowcliffe JM, 2005, TRENDS ECOL EVOL, V20, P274, DOI 10.1016/j.tree.2005.03.007
   SERNANP (Servicio Nacional de Areas Naturales Protegidas por el Estado), 2017, PLAN MAESTR RES NAC
   Servicio de Hidrografia, 2018, B AV NAV FLUV PUBL S
   Silveira L, 2003, BIOL CONSERV, V114, P351, DOI 10.1016/S0006-3207(03)00063-6
   Townsend WR, 2000, BIOL RESOURCE MANAGE, P267
   van Vliet N, 2015, ECOL SOC, V20, DOI 10.5751/ES-07669-200307
   Weinbaum KZ, 2013, ECOL LETT, V16, P99, DOI 10.1111/ele.12008
   Zulkafli Z, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014013
NR 47
TC 13
Z9 15
U1 2
U2 34
PU SOC ETHNOBIOLOGY
PI DENTON
PA UNIV NORTH TEXAS, DEPT GEOGRAPHY, 1155 UNION CIRCLE 305279, DENTON, TX
   76203-5017 USA
SN 0278-0771
EI 2162-4496
J9 J ETHNOBIOL
JI J. Ethnobiol.
PD JUL
PY 2020
VL 40
IS 2
BP 218
EP 233
DI 10.2993/0278-0771-40.2.218
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 MR4KX
UT WOS:000553559000007
DA 2025-01-10
ER

PT J
AU Grêt-Regamey, A
   Brunner, SH
AF Gret-Regamey, Adrienne
   Brunner, Sibyl H.
TI Adaptation to climate change through backcasting - a methodological
   framework for spatial planners
SO DISP
LA German
DT Article
ID RISK-ASSESSMENT; FUTURE; VULNERABILITY; EXPLICIT
AB Climate change and its complex, heterogenous and long-term impacts challenge the traditional spatially and temporally restricted instruments of spatial planning. This paper suggests a methodological framework for backcasting to support spatial adaptation to predicted climate changes. Starting from a vision of the future, backcasting infers information about the constituents of a system using knowledge about the behavior of the system and its structure. In popular terms, backcasting plans from a single future vision of a desirable outcome, followed by the question "what shall we do today I get to the desired future situation?", thus freeing constraints caused by the current situation and Opening the mind for future options. It provides a broad and flexible enough platform for a set of strategies to address future uncertainties and insure the realization of the vision. Strategic backcasting involves various stakeholders in the discussion of alternative visions and in the development and implementation of flexible measures; and is thus useful for coordinating spatial planning instruments. For addressing quantitative spatial problems, inverse modeling has shown to be a valuable expansion of strategic backcasting. Yet, for a successful implementation of such approaches, current planning systems have to evolve: (I) participation, bottom-up processes and informal instruments need to be further developed, (2) a regional perspective and responsibility has to be taken by planners, and (3) sectoral measures should be combined strongly and implemented integratively in system-oriented strategies to secure the multifunctionality of landscapes and reduce the vulnerability of our environment to climate changes.
C1 [Gret-Regamey, Adrienne; Brunner, Sibyl H.] Inst Raum & Landschaftsentwicklung, CH-8093 Zurich, Switzerland.
RP Grêt-Regamey, A (corresponding author), Inst Raum & Landschaftsentwicklung, Wolfgang Pauli Str 15, CH-8093 Zurich, Switzerland.
EM gret@nsl.ethz.ch; brunner@nsl.ethz.ch
RI Grêt-Regamey, Adrienne/AAZ-7546-2021; Gret-Regamey,
   Adrienne/HPE-6858-2023
OI Gret-Regamey, Adrienne/0000-0001-8156-9503
CR AKADEMIE FUR RAUMFORSCHUNG UND LANDESPLANUNG (ARL), 2009, 81 ARL
   Banister D., 2000, INNOVATION, V13-1, P27, DOI DOI 10.1080/135116100111649
   BIERHALS E., 1986, GUTACHTEN ERARBEITUN
   BIRKAMNN R., 2009, RAUMFORSCH RAUMORDN, V2, P114
   BUTTERLING M., 2009, KLIMA RAUM WANDEL GL, P11
   Carlsson-Kanyama A, 2008, FUTURES, V40, P34, DOI 10.1016/j.futures.2007.06.001
   Cohen SJ., 1997, ENVIRON MODEL ASSESS, V2, P281
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   De Lange HJ, 2010, SCI TOTAL ENVIRON, V408, P3871, DOI 10.1016/j.scitotenv.2009.11.009
   Dockerty T, 2006, AGR ECOSYST ENVIRON, V114, P103, DOI 10.1016/j.agee.2005.11.008
   Dreborg KH, 1996, FUTURES, V28, P813, DOI 10.1016/S0016-3287(96)00044-4
   Einstein H. H., 1988, Landslides  Proceedings of the Fifth International Symposium on Landslides, Volume 2., P1075
   Frederick KD, 1997, CLIMATIC CHANGE, V37, P291, DOI 10.1023/A:1005364302618
   FROMMER B., 2009, RAUMFORSCH RAUMORDN, V2, P128
   GILGEN K., 2002, IRAP HEFT IRAP HSR
   GREIVING S, 2008, RAUMPLANUNG, V137, P61
   Greiving S, 2004, DISP PLAN REV, V40, P11, DOI DOI 10.1080/02513625.2004.10556880
   Grêt-Regamey A, 2006, NAT HAZARD EARTH SYS, V6, P911, DOI 10.5194/nhess-6-911-2006
   GRET-REGAMEY A., 2011, ENV PLANN B IN PRESS
   GRUEHN D., 2008, BBR ONLINE PUBLIKATI
   HOFSTETTER P., 2006, BEWERTUNG KLIMACHUTZ
   Holmberg J, 2000, INT J SUST DEV WORLD, V7, P291, DOI 10.1080/13504500009470049
   Holmberg J., 1998, Greener Management International, P30
   Knieling J, 2006, RAUMFORSCH RAUMORDN, V64, P473, DOI 10.1007/BF03183113
   LOVINS AB, 1976, FOREIGN AFF, V55, P65, DOI 10.2307/20039628
   Marks R., 1989, Anleitung zur Bewertung des Leistungsvermogens des Landschaftshaushaltes. Forschungen zur deutschen Landeskunde
   Metzger MJ, 2006, REG ENVIRON CHANGE, V6, P201, DOI 10.1007/s10113-006-0020-2
   MEYER K., 2009, RAUMFORSCH RAUMORDN, V2, P182
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quist J, 2006, FUTURES, V38, P1027, DOI 10.1016/j.futures.2006.02.010
   Rabino GA, 2002, LECT NOTES COMPUT SC, V2493, P349
   Ritter EH, 2007, RAUMFORSCH RAUMORDN, V65, P531, DOI 10.1007/BF03183905
   ROBINSON JB, 1982, ENERG POLICY, V10, P337, DOI 10.1016/0301-4215(82)90048-9
   SARTORIO FrancescaS., 2005, disPThe Planning Review, v, V41, n, P26, DOI DOI 10.1080/02513625.2005.10556930
   SCHLIPF S., 2008, RAUMPLANUNG, V127, P77
   Sheppard SRJ, 2005, ENVIRON SCI POLICY, V8, P637, DOI 10.1016/j.envsci.2005.08.002
   Termorshuizen JW, 2009, LANDSCAPE ECOL, V24, P1037, DOI 10.1007/s10980-008-9314-8
   UNEP, 2004, IMP SUMM 2003 HEAT W
   WISSEN U., 2009, VIRTUELLE LANDSCHAFT
NR 40
TC 6
Z9 6
U1 1
U2 19
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0251-3625
EI 2166-8604
J9 DISP
JI disP
PY 2011
VL 47
IS 1
BP 43
EP 51
DI 10.1080/02513625.2011.10557123
PG 9
WC Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Public Administration
GA 949JC
UT WOS:000304571500006
DA 2025-01-10
ER

PT J
AU Williams, CG
AF Williams, Claire G.
TI LONG-DISTANCE PINE POLLEN STILL GERMINATES AFTER MESO-SCALE DISPERSAL
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE aerosols; climate change; conifer reproductive biology; genetically
   modified (GM) forest trees; heterospory; long-distance dispersal; male
   gametophyte; North Carolina; Pinaceae; Pinus taeda; US Forest Health
   Initiative
ID SEED DISPERSAL; FOREST TREES; POPULATION-DYNAMICS; GENE FLOW; TRANSPORT;
   MODELS; COLONIZATION; POLLINATION; MIGRATION; PATERNITY
AB Viability of long-distance pollen links ecological models to the genetic structure of forest tree populations, determining how forests will adapt to climate change and how far genes flow from genetically modified (GM) pine plantations. Addressing this landscape-scale inquiry is feasible when the pollen source, the delivery system, and the receiver field can be made explicit. To this end, I measured long-distance pollen germination along a 160-km transect along the North Carolina coastline, including 45 000 ha of mature Pinus taeda plantations and barrier islands. Using this system, I tested three hypotheses: (1) pine pollen germinates after dispersal on meso-scale distances, (2) sodium chloride exposure reduces germination of pollen captured over open saltwater, and (3) viable pine pollen is present at high altitudes before local peak pollen shed. The experimental findings are as follows: pine pollen had germination rates of 2 to 57% after dispersal at distances from 3 to 41 km, sodium chloride solutions mildly reduced P. taeda pollen germination, and viable pine pollen grains were captured at an altitude of 610 m. GM pine plantings thus have a potential to disperse viable pollen at least 41 km from the source. Wind and rainfall, as integral parts of regional atmospheric systems, together exert a powerful influence on the genetic structure of forest tree populations.
C1 Forest Hist Soc & NESCent, Durham, NC 27701 USA.
RP Williams, CG (corresponding author), Forest Hist Soc & NESCent, William Vickers Ave, Durham, NC 27701 USA.
EM claire-williams@fulbrightmail.org
FU USDA [2005-03804]; National Science Foundation [NSF EF-0905606]; U.S.
   Department of Energy's Office of Science (BER) [DE-FC02-03ER63613]
FX Partial award sponsorship was provided to C.G.W. from USDA Biotechnology
   Risk Assessment Grants Program 2005-03804. The National Science
   Foundation and J. Ustach, Duke Marine Laboratory at Beaufort NC provided
   access to the R/V Cape Hatteras. The author appreciates the helicopter
   sampling by F. Bridgwater and Roni Avissar as well as the constructive
   comments provided by the associate editor, anonymous reviewers, M.
   Greenwood and T. Blush. The author also received support from National
   Science Foundation's National Evolutionary Synthesis Center NESCent
   under NSF #EF-0905606 and U.S. Department of Energy's Office of Science
   (BER) under DE-FC02-03ER63613.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Al-Rabab'ah MA, 2002, FOREST ECOL MANAG, V163, P263, DOI 10.1016/S0378-1127(01)00584-9
   Austerlitz F, 2003, HEREDITY, V90, P282, DOI 10.1038/sj.hdy.6800243
   AYLOR DE, 1982, AGR METEOROL, V27, P217, DOI 10.1016/0002-1571(82)90007-3
   Blush T., 1986, IURFO P WILL VA
   Bohne G, 2005, ANN BOT-LONDON, V96, P201, DOI 10.1093/aob/mci169
   Bonfils AC, 2006, MANAG FOR ECOSYST, V9, P229
   BOYER WD, 1978, J FOREST, V76, P20
   Bramlett DL, 1989, P 20 SO FOR TREE IMP, P116
   BRATTON SP, 1987, CASTANEA, V52, P166
   BROWN SD, 1987, CAN J FOREST RES, V17, P299, DOI 10.1139/x87-050
   Cain SA, 1940, AM J BOT, V27, P301, DOI 10.2307/2436700
   Campbell ID, 1999, NATURE, V399, P29, DOI 10.1038/19891
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   DIGIOVANNI F, 1991, CAN J FOREST RES, V21, P1155, DOI 10.1139/x91-163
   DiGiovanni F, 1996, FOREST ECOL MANAG, V83, P87, DOI 10.1016/0378-1127(95)03691-1
   DOYLE JOSEPH, 1935, SCI PROC ROY DUBLIN SOC, V21, P181
   Edwards M. A., 1995, Forest Genetics, V2, P21
   ENNOS RA, 1994, HEREDITY, V72, P250, DOI 10.1038/hdy.1994.35
   Gage SH, 1999, AGR FOREST METEOROL, V97, P249, DOI 10.1016/S0168-1923(99)00070-2
   GISLEN T, 1948, BIOL REV, V23, P109, DOI 10.1111/j.1469-185X.1948.tb00459.x
   GODDARD R, 1981, AGR HDB USDA, V40, P587
   GREENWOOD MS, 1986, AM J BOT, V73, P1443, DOI 10.2307/2443849
   GREGORY PH, 1978, PURE APPL GEOPHYS, V116, P309, DOI 10.1007/BF01636888
   Hamrick JL, 2004, FOREST ECOL MANAG, V197, P323, DOI 10.1016/j.foreco.2004.05.023
   Horn H. S., 2005, Nature, V436, DOI 10.1038/436179a
   Jackson ST, 1999, BOT REV, V65, P39, DOI 10.1007/BF02856557
   Jaenicke R, 2005, SCIENCE, V308, P73, DOI 10.1126/science.1106335
   Jones AM, 2004, SCI TOTAL ENVIRON, V326, P151, DOI 10.1016/j.scitotenv.2003.11.021
   Katul G, 2006, MANAG FOR ECOSYST, V9, P121
   Katul GG, 2005, AM NAT, V166, P368, DOI 10.1086/432589
   KEARNEY TH, 1901, PLANT COVERING OCRAC
   KOSKI V, 1970, COMMUN I FOREST FENN, V70, P1
   Kuparinen A, 2007, ECOL MODEL, V202, P476, DOI 10.1016/j.ecolmodel.2006.11.015
   Kuparinen A, 2006, TRENDS PLANT SCI, V11, P296, DOI 10.1016/j.tplants.2006.04.006
   Kuparinen A, 2009, P ROY SOC B-BIOL SCI, V276, P3081, DOI 10.1098/rspb.2009.0693
   LaDeau SL, 2001, SCIENCE, V292, P95, DOI 10.1126/science.1057547
   Langdon O. G., 1990, AGR HDB, V654, P497
   LANNER RONALD M., 1966, SILVAE GENET, V15, P50
   LeCorre V, 1997, GENET RES, V69, P117, DOI 10.1017/S0016672397002668
   LINDGREN D, 1995, GRANA, V34, P64, DOI 10.1080/00173139509429035
   MCDONALD JE, 1962, SCIENCE, V135, P435, DOI 10.1126/science.135.3502.435
   Nathan R, 2006, SCIENCE, V313, P786, DOI [10.1126/science.1124975, 10.1016/j.tree.2008.08.003]
   NIKLAS KJ, 1984, AM J BOT, V71, P356, DOI 10.2307/2443495
   OSWALT SN, 2002, SO EXPT STATION PUBL
   Parker S., 1996, QUANTIFYING POLLEN P
   PIELKE RA, 1987, THEOR APPL CLIMATOL, V38, P57, DOI 10.1007/BF00868418
   PULKKINEN P, 1995, TREE PHYSIOL, V15, P515, DOI 10.1093/treephys/15.7-8.515
   PULKKINEN P, 1994, THESIS U TURKU TURKU
   Robledo-Arnuncio JJ, 2005, HEREDITY, V94, P13, DOI 10.1038/sj.hdy.6800542
   Rogers CA, 1998, INT J BIOMETEOROL, V42, P65, DOI 10.1007/s004840050086
   Rousseau DD, 2006, REV PALAEOBOT PALYNO, V141, P277, DOI 10.1016/j.revpalbo.2006.05.001
   SAYLOR L C, 1973, Journal of the Elisha Mitchell Scientific Society, V89, P101
   Schuster WSF, 2000, HEREDITY, V84, P348, DOI 10.1046/j.1365-2540.2000.00684.x
   Smouse PE, 2007, TREE GENET GENOMES, V3, P141, DOI 10.1007/s11295-006-0075-8
   Strauss SH, 2009, NAT BIOTECHNOL, V27, P519, DOI 10.1038/nbt0609-519
   van Frankenhuyzen K, 2004, CAN J FOREST RES, V34, P1163, DOI [10.1139/x04-024, 10.1139/X04-024]
   Varis S, 2008, CAN J FOREST RES, V38, P2976, DOI 10.1139/X08-138
   Watrud LS, 2004, P NATL ACAD SCI USA, V101, P14533, DOI 10.1073/pnas.0405154101
   Westbrook JK, 1999, AGR FOREST METEOROL, V97, P263, DOI 10.1016/S0168-1923(99)00071-4
   Westfall RD, 2004, FOREST ECOL MANAG, V197, P159, DOI 10.1016/j.foreco.2004.05.011
   Williams CG, 2005, FOREST ECOL MANAG, V217, P95, DOI 10.1016/j.foreco.2005.05.052
   Williams CG, 2005, NAT BIOTECHNOL, V23, P530, DOI 10.1038/nbt0505-530
   Williams CG, 2008, CAN J FOREST RES, V38, P2177, DOI 10.1139/X08-062
   Williams CG, 2009, CONIFER REPRODUCTIVE BIOLOGY, P3
NR 65
TC 68
Z9 82
U1 3
U2 41
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 MAY
PY 2010
VL 97
IS 5
BP 846
EP 855
DI 10.3732/ajb.0900255
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 589UO
UT WOS:000277179900014
PM 21622450
DA 2025-01-10
ER

PT J
AU Jiricka-Pürrer, A
   Brandenburg, C
   Pröbstl-Haider, U
AF Jiricka-Puerrer, Alexandra
   Brandenburg, Christiane
   Proebstl-Haider, Ulrike
TI Reprint of: City tourism pre- and post-covid-19 pandemic - Messages to
   take home for climate change adaptation and mitigation?
SO JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND
   MANAGEMENT
LA English
DT Article
DE City tourism; Climate change adaptation Covid-19 pandemic
AB The paper presents the status quo on climate change impacts on city tourism in Austria describing the impacts by air travel and a short stay on the greenhouse gas emissions and the changing conditions in the city. For Austrian cities, depending on location and topography, heavy rainfall events, storms and heat waves in particular could become increasingly relevant in the tourism context. For medium-sized and large cities, heat is the most frequently discussed topic in connection with possible adaptation potentials. The analysis of challenges shows a strong overlap of adaptation targets in city tourism with adaptation challenges for city planning including connection to the sub-urban surrounding areas to confront climate change impacts. Covid-19 pandemic, additionally, offered the opportunity to discuss a new re-start of the city-tourism against the experience during the shutdown period in spring 2020. The paper argues that we can learn from the current health crisis for coping with climate change related extreme events and to increase achievements in climate change mitigation. Firstly, the pandemic provides a strong ability to discuss the impact of city tourism due to short-term air travel and options to enhance more climate-friendly options on the other hand. Secondly, Covid-19 emphasized the need to reconsider the role of free spaces in metropolitan areas as well as their accessibility. Herewith synergies with climate change adaptation are likely when questioning the availability and accessibility of green and blue infrastructure as well as their capacities. Challenges including crowding and impacts by over tourism on public free spaces will require joint strategies involving all public and private institutions (including local communities and businesses) responsible for the maintenance of green and blue free spaces. Thirdly, the strong interactions between urban and suburban areas became evident once more, which will also be very relevant for city tourism in the future (e.g. in times of heat waves). Reflection on the transferability of coping with such crowding effects, related to the adaptive behaviour of residents and tourists in times of severe heat waves, might be relevant for both city tourism and summer tourism destinations near metropolitan areas. Finally, the Covid-19 crisis encourages discussions on over-tourism in metropolitan destinations in favour of a more balanced approach, in particular in inner city areas and around major sightseeing attractions.
C1 [Jiricka-Puerrer, Alexandra; Brandenburg, Christiane; Proebstl-Haider, Ulrike] Univ Nat Resources & Life Sci, Peter Jordanstr 82, A-1190 Vienna, Austria.
C3 BOKU University
RP Jiricka-Pürrer, A (corresponding author), Univ Nat Resources & Life Sci, Peter Jordanstr 82, A-1190 Vienna, Austria.
EM alexandra.jiricka@boku.ac.at
FU Austrian Climate Research Programme (ACRP) pertaining to the Austrian
   Climate and Energy Fund
FX This discussion note results from a special report on climate change and
   tourism funded by the Austrian Climate Research Programme (ACRP)
   pertaining to the Austrian Climate and Energy Fund.
CR Allex B., 2011, F STARTCLIM2010 ANPA
   Allex B., 2013, P 18 INT C URB PLANN, P393
   Allex B., 2011, HOT TOWN SUMMER CITY, V17
   [Anonymous], TRAVEL USNEWS
   Gómez-Martín MB, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8120255
   BMLFUW, 2017, OST STR STRAT ANP KL
   BMWFJ, 2010, NEUE OST TOUR
   BMWFW W. K. O. & OHV., 2015, ENERGIEMANAGEMENT HO, V3
   Brandenburg C, 2015, FINANZIERT WIENER UM, V22, P112
   Bundesamt fur Umwelt (BAFU), 2018, HITZE STADTEN
   Die Zeit, 2020, REGIERUNG SOLL MUND, V4, P17
   Dubois G, 2016, CLIMATIC CHANGE, V136, P339, DOI 10.1007/s10584-016-1620-6
   EC European Commission, 2013, SUPP IMPL GREEN INFR
   EURAC Research, 2018, KLIM SUDT
   Fleischhacker V., 2019, ITR TOURISMUSREPORT
   Fleischhacker V., 2009, FORSCHUNGSBERICHT AU, V4179
   Fleischhacker V., 2007, SENSITIVITAT OSTERRE
   FUR (Forschungsgemeinschaft Urlaub und Reisen), 2017, REIS 2017 ERST AUS
   Goodwin H., 2017, Responsible Tourism Partnership, V4, P1
   Gössling S, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7010010
   Gotz A., 2012, ANPASSUNG KLIMAWANDE
   Jorgensen MT, 2017, J TRAVEL TOUR MARK, V34, P880, DOI 10.1080/10548408.2016.1220889
   Juschten M, 2019, TOURISM MANAGE, V75, P293, DOI 10.1016/j.tourman.2019.05.014
   Juschten M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010214
   Krajasits C., 2008, ALSO WIKI ALPINER SO
   Kromp-Kolb H., 2007, AUSWIRKUNGEN KLIMAWA
   Kurier, 2020, SOMM NIMMT ETW FAHRT, V14
   Land Salzburg, 2019, TOUR ZAHL FAKT DAT B
   MA 23 Dezernat Statistik Wien, 2018, GAST WIEN NACH HERK
   MA 23 Dezernat Statistik Wien, 2018, NACHT WIEN TOP 10 1
   Maiwald Stefan, 2019, ADAC REISEFUHRER VEN
   Probstl-Haider U., 2019, APCC SPECIAL REPORT
   Serquet G, 2011, CLIMATIC CHANGE, V108, P291, DOI 10.1007/s10584-010-0012-6
   Stadt Innsbruck, 2019, STAT ZAHL TOUR UB GE
   Stadt Wien, 2016, KLIM KENNT WIEN 1954
   Statistik Austria, 2016, STAT JB 2016, P420
   Statistik Austria, 2017, PRESS PRESSEMITTEILUNG, V11, P565
   Steininger Karl W., 2016, Climate Services, V1, P39, DOI 10.1016/j.cliser.2016.02.003
   Trimble S. J, 2020, COVID 19 PANDEMIC IM
   Wien Tourismus, 2018, ANK WIEN 2003 17
   Wien Tourismus, 2019, WIEN URL PRIV URL PR
   Wirtschaftskammer Tirol, 2018, TOUR SOMM WIED WIRTS
   WKO, 2018, TOUR FREIZ ZAHL OST
   Zellmann P., 2017, FORSCHUNGSTELEGR MAI
   Zellmann P, 2015, URLAUBSREPUBLIK ZUKU
NR 45
TC 2
Z9 2
U1 0
U2 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2213-0780
EI 2213-0799
J9 J OUTDOOR REC TOUR
JI J. Outdo. Recreat. Tour. Res. Plan.
PD JUN
PY 2021
VL 34
AR 100435
DI 10.1016/j.jort.2021.100435
EA SEP 2021
PG 7
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA US0YV
UT WOS:000697164700010
PM 37519452
OA Green Published
DA 2025-01-10
ER

PT J
AU Nilgen, M
   Burger, MN
   Steimanis, I
   Vollan, B
AF Nilgen, Marco
   Burger, Maximilian Nicolaus
   Steimanis, Ivo
   Vollan, Bjorn
TI Pitfalls of monetizing relational values in the context of climate
   change adaptation
SO ECOSYSTEMS AND PEOPLE
LA English
DT Article
DE Paula Novo; Contingent valuation; relational values; monetary valuation;
   experiment; atoll ecosystems
ID SEA-LEVEL RISE; ECOSYSTEM SERVICES; HYPOTHETICAL BIAS; PLACE ATTACHMENT;
   CONSERVATION; PREFERENCE; VALUATION; RESETTLEMENT; STRATEGIES; MIGRATION
AB Relational values emphasize the desirable characteristics of nature-society relationships. Unlike instrumental values, relational values have not yet been subjected to monetary quantification, although they may be relevant to environmental policymaking or climate change adaptation decisions which often rely on cost-benefit approximations. This paper explores the quantification of relational values within a contingent valuation scenario both in monetary (one-time donation) and non-monetary terms (Likert-scale, ranking) as well as using a measure that elicits the desired allocation of government budget for adaptation. We conduct two surveys within the context of adaptation projects, aiming to protect the traditional lifestyles of atoll islanders on the Solomon Islands and coastal communities in Bangladesh. In these surveys, we employ two valuation scenarios - one with explicit mention of relational value losses, and one without. Information on relational losses led to no increases in monetary or non-monetary valuation but to a slightly higher allocation of government budget in Bangladesh. We further assess and discuss the validity of our measures, also accounting for respondents' financial situation. Our findings suggest that emphasizing relational losses could significantly increase disaster management funding in Bangladesh, with a potential 55% budget increase based on our treatment effect. We further discuss the difficulties in quantifying relational values in a context with limited ability to pay and the importance of considering deliberative approaches for ensuring that all dimensions of human-nature relationships are adequately considered in adaptation policy decision-making.
C1 [Nilgen, Marco; Burger, Maximilian Nicolaus; Steimanis, Ivo; Vollan, Bjorn] Philipps Univ Marburg, Res Grp Sustainable Use Nat Resources, Marburg, Germany.
C3 Philipps University Marburg
RP Vollan, B (corresponding author), Philipps Univ Marburg, Res Grp Sustainable Use Nat Resources, Marburg, Germany.
EM bjoern.vollan@wiwi.uni-marburg.de
RI Burger, Max/HSG-0906-2023; Vollan, Bjorn/AAN-9265-2020
OI Steimanis, Ivo/0000-0002-8550-4675; Burger,
   Maximilian/0000-0003-2334-3885; Vollan, Bjorn/0000-0002-5592-4185
FU German federal Ministry of Education and Research (BMBF) [01DR20003]
FX Data collection was supported by the German federal Ministry of
   Education and Research (BMBF). The grant was received by BV [award
   number: 01DR20003]. The funders had no role in study design, data
   collection and analysis, decision to publish, or preparation of the
   manuscript.
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Adger WN, 2020, ONE EARTH, V3, P396, DOI 10.1016/j.oneear.2020.09.016
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Bateman IJ., 2002, EC VALUATION STATED
   Bell AR, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdc5b
   Benjamin DJ, 2016, REV ECON STAT, V98, P617, DOI 10.1162/REST_a_00586
   Bhuiyan MJAN, 2012, NAT HAZARDS, V61, P729, DOI 10.1007/s11069-011-0059-3
   Birk T, 2014, NAT RESOUR FORUM, V38, P1, DOI 10.1111/1477-8947.12038
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Bora I, 2021, J RURAL STUD, V86, P578, DOI 10.1016/j.jrurstud.2021.07.008
   Brink E, 2023, GLOBAL ENVIRON CHANG, V80, DOI 10.1016/j.gloenvcha.2023.102656
   Burger MN, 2023, CURR OPIN ENV SUST, V62, DOI 10.1016/j.cosust.2023.101295
   Cabannes Y, 2021, ENVIRON URBAN, V33, P356, DOI 10.1177/09562478211021710
   Carson RT, 2005, HANDB ECON, V20, P821
   Chan KMA, 2018, CURR OPIN ENV SUST, V35, pA1, DOI 10.1016/j.cosust.2018.11.003
   Chan KMA, 2016, P NATL ACAD SCI USA, V113, P1462, DOI 10.1073/pnas.1525002113
   Christensen AE, 2012, GEOGR TIDSSKR-DEN, V112, P52, DOI 10.1080/00167223.2012.707803
   Courchamp F, 2014, TRENDS ECOL EVOL, V29, P127, DOI 10.1016/j.tree.2014.01.001
   Dehnhardt A, 2022, ENVIRON SCI POLICY, V137, P53, DOI 10.1016/j.envsci.2022.08.005
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Hausman J, 2012, J ECON PERSPECT, V26, P43, DOI 10.1257/jep.26.4.43
   Huynh LTM, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn8042
   Ibbett H, 2023, PEOPLE NAT, V5, P1245, DOI 10.1002/pan3.10501
   IPBES (Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services), 2022, Zenodo, DOI [10.5281/zenodo.7687931, DOI 10.5281/ZENODO.7687931]
   Jacobs S, 2018, ECOSYST SERV, V29, P515, DOI 10.1016/j.ecoser.2017.07.011
   Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008
   KAHNEMAN D, 1992, J ENVIRON ECON MANAG, V22, P57, DOI 10.1016/0095-0696(92)90019-S
   Kenter JO, 2016, ECOSYST SERV, V21, P270, DOI 10.1016/j.ecoser.2016.06.006
   Kenter JO, 2015, ECOL ECON, V111, P86, DOI 10.1016/j.ecolecon.2015.01.006
   Klain SC, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183962
   Li LL, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1180
   Loomis JB, 2014, J AGR RESOUR ECON, V39, P34
   Maechler S, 2024, GLOBAL ENVIRON POLIT, V24, P10, DOI 10.1162/glep_a_00734
   Manero A, 2022, ECOSYST SERV, V54, DOI 10.1016/j.ecoser.2022.101417
   McMichael C, 2021, POPUL ENVIRON, V43, P82, DOI 10.1007/s11111-021-00378-6
   Meinard Y, 2017, ECOL ECON, V132, P45, DOI 10.1016/j.ecolecon.2016.10.007
   Morrison M, 2009, ENVIRON RESOUR ECON, V44, P307, DOI 10.1007/s10640-009-9287-3
   Murphy JJ, 2005, ENVIRON RESOUR ECON, V30, P313, DOI 10.1007/s10640-004-3332-z
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Nunn PD, 2016, CLIMATIC CHANGE, V136, P477, DOI 10.1007/s10584-016-1646-9
   Olmsted P, 2020, J SUSTAIN TOUR, V28, P497, DOI 10.1080/09669582.2019.1683184
   Ott K, 2021, Transitioning Sustai, V15, P43
   Ravenscroft N, 2019, SUSTAIN SCI, V14, P1297, DOI 10.1007/s11625-018-0652-4
   Reynolds MH, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136773
   Riethmuller ML, 2021, J ENVIRON PSYCHOL, V73, DOI 10.1016/j.jenvp.2020.101542
   Robinson J, 2008, ENVIRON CONSERV, V35, P351, DOI 10.1017/S0376892908005213
   Rode J, 2015, ECOL ECON, V117, P270, DOI 10.1016/j.ecolecon.2014.11.019
   Rogers AA, 2019, NAT HAZARDS, V99, P1131, DOI 10.1007/s11069-019-03761-7
   Schläpfer F, 2016, ECOL ECON, V122, P36, DOI 10.1016/j.ecolecon.2015.11.022
   Schulz C, 2018, CURR OPIN ENV SUST, V35, P15, DOI 10.1016/j.cosust.2018.10.015
   Seneviratne S. I., 2021, Climate Change 2021-The Physical Science Basis, P1513, DOI [DOI 10.1017/9781009157896.013, 10.1017/9781009157896.013]
   Sintomer Y, 2008, INT J URBAN REGIONAL, V32, P164, DOI 10.1111/j.1468-2427.2008.00777.x
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Smessaert J, 2020, ECOL ECON, V172, DOI 10.1016/j.ecolecon.2020.106624
   Spash CL, 2015, J ENVIRON MANAGE, V159, P245, DOI 10.1016/j.jenvman.2015.04.049
   Stålhammar S, 2019, SUSTAIN SCI, V14, P1201, DOI 10.1007/s11625-019-00718-4
   Steimanis I, 2022, GLOB SUSTAIN, V5, DOI 10.1017/sus.2022.9
   Steimanis I, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100377
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Tadaki M, 2017, ECOL SOC, V22, DOI 10.5751/ES-08999-220107
   Terry JP, 2012, GLOBAL PLANET CHANGE, V88-89, P76, DOI 10.1016/j.gloplacha.2012.03.008
   Tschakert P, 2019, GLOBAL ENVIRON CHANG, V55, P58, DOI 10.1016/j.gloenvcha.2018.11.006
   Uehara T, 2020, ENVIRON DEV SUSTAIN, V22, P1599, DOI 10.1007/s10668-018-0226-8
   van Noordwijk M, 2023, CURR OPIN ENV SUST, V65, DOI 10.1016/j.cosust.2023.101374
   Wakeford T., 2015, The SAGE handbook of action research, DOI [10.4135/9781473921290, DOI 10.4135/9781473921290]
   Wetzel FT, 2012, GLOBAL CHANGE BIOL, V18, P2707, DOI 10.1111/j.1365-2486.2012.02736.x
   Witter R, 2014, CONSERV BIOL, V28, P1394, DOI 10.1111/cobi.12283
   Xu GL, 2021, LAND USE POLICY, V107, DOI 10.1016/j.landusepol.2021.105476
   Yeboah AS, 2022, AFR GEOGR REV, V41, P71, DOI 10.1080/19376812.2020.1850299
NR 70
TC 0
Z9 0
U1 2
U2 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
EI 2639-5916
J9 ECOSYST PEOPLE
JI Ecosyst. People
PD DEC 31
PY 2024
VL 20
IS 1
AR 2427809
DI 10.1080/26395916.2024.2427809
PG 19
WC Biodiversity Conservation; Ecology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA N5C3E
UT WOS:001364513300001
OA gold
DA 2025-01-10
ER

PT J
AU Tikita, BY
   Lee, SH
AF Tikita, Blessings Youngster
   Lee, Sang-Ho
TI Factors Influencing the Double-Up Adoption of Climate Change Adaptation
   Strategies among Smallholder Maize Farmers in Malawi
SO SUSTAINABILITY
LA English
DT Article
DE maize-legume diversification; organic fertilizer use; agroforestry;
   sustainable intensification
ID FOOD SECURITY; CHOICE; DETERMINANTS; MODELS; IMPACT
AB Maize remains the staple grain in Malawi; hence, the cropping system of most smallholder farmers is dominated by the crop, often mono-cropped for food security. Consequently, Malawi's agriculture sector is made vulnerable to the adverse impacts of climate change. For instance, crop failure results in food insecurity and the low income of farm households. In response, there are coping mechanisms, which can be adopted by farmers to mitigate these negative climate change effects, namely maize-legume diversification, organic manure use, and the practice of agroforestry. Therefore, the underlying objective of this study was to assess the factors influencing smallholder maize farmers' decision to engage in the double-up adoption of climate change adaptation strategies in Malawi. Both descriptive statistics and the logistic regression model were employed to statistically analyze these factors, and the results of the analysis revealed that landholding size, inorganic fertilizer use, access to credit, seed access, adherence to extension services, and input coupon access were significant in influencing dual adoption. Furthermore, this study recommends policies, which underscore land access and safeguard the land rights of smallholder maize farmers, and also private sector engagement in complementing government efforts in ensuring increased access to seeds. Additionally, improving farmers' adherence to agricultural extension services is recommended. Thus, addressing the constraints of small-scale farmers observed in this study will act as an incentive for farmers to consider dual adoption, which is perceived to be a feasible method to combat climate change effects.
C1 [Tikita, Blessings Youngster] Yeungnam Univ, Pk Chung Hee Sch Policy & Saemaul, Dept Publ Policy & Leadership, 280 Daehak Ro, Gyongsan 38541, Gyeongbuk, South Korea.
   [Lee, Sang-Ho] Yeungnam Univ, Dept Food Econ & Serv, 280 Daehak Ro, Gyongsan 38541, Gyeongbuk, South Korea.
C3 Yeungnam University; Yeungnam University
RP Lee, SH (corresponding author), Yeungnam Univ, Dept Food Econ & Serv, 280 Daehak Ro, Gyongsan 38541, Gyeongbuk, South Korea.
EM blessingstikita@gmail.com; ecolee@yu.ac.kr
RI Youngster Tikita, Blessings/LKL-9500-2024
OI Youngster Tikita, Blessings/0009-0007-8324-2687
CR Adesina FA, 1999, GLOBAL ECOL BIOGEOGR, V8, P163, DOI 10.1046/j.1365-2699.1999.00122.x
   Akinnagbe O. M., 2014, Bangladesh Journal of Agricultural Research, V39, P407
   Akpo E., 2021, Enhancing Smallholder Farmers Acess to Seed of Improved Legume Varieties through Multi-Stakeholder Platforms, DOI [10.1007/978-981-15-8014-7_1, DOI 10.1007/978-981-15-8014-7_1]
   Best H, 2009, RATION SOC, V21, P197, DOI 10.1177/1043463109103899
   Bezner KerrR., 2004, EcoHealth, V1, P109, DOI [DOI 10.1007/S10393-004-0038-1, 10.1007/s10393-004-0038-1]
   Currie-Alder B, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00294-5
   Cutforth B.L., 2015, Am. J. Altern. Agric, V3, P12951, DOI [10.1017/S0889189300009164, DOI 10.1017/S0889189300009164]
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Droppelmann KJ, 2017, FOOD SECUR, V9, P133, DOI 10.1007/s12571-016-0636-0
   Ekepu D., 2016, S Afr. Jnl. Agric. Ext., V44, P195, DOI 10.17159/2413-3221/2016/v44n2a421
   Food and Agriculture Organization, 2014, Malawi Countrys Sheet on Food and Agriculture and Policy Trends
   Food and Agriculture Organization, 2016, Sustainable Crop Production Intensification
   Graham PH, 2003, PLANT PHYSIOL, V131, P872, DOI 10.1104/pp.017004
   Gujarati DN, 2009, The McGraw-Hill Series
   Hoyos D, 2010, ECOL ECON, V69, P1595, DOI 10.1016/j.ecolecon.2010.04.011
   Jafino B. A., 2020, Revised Estimates of the Impact of Climate Change on Extreme Poverty by 2030
   Kankwamba H., 2012, Determinants and spatiotemporal dimensions of crop diversification in Malawi
   Kanyamuka J.S., 2017, Res. Agric. Appl. Econ, DOI [10.22004/ag.econ.265581, DOI 10.22004/AG.ECON.265581]
   Katengeza SP, 2019, ECOL ECON, V156, P134, DOI 10.1016/j.ecolecon.2018.09.018
   Kerr RB, 2007, EXP AGR, V43, P437, DOI 10.1017/S0014479707005339
   Kinuthia K. J., 2018, Journal of Natural Resources and Development, V8, P69
   Lambrecht I., 2014, Integrated Soil Fertility Management: From Concept to Practice in Eastern DR Congo
   Maggio G., 2018, Cropping System Diversification in Eastern and Southern Africa: Identifying Policy Options to Enhance Productivity and Build Resilience
   Mango N., 2018, Agriculture & Food Security, V7, P7, DOI 10.1186/s40066-018-0160-x
   MANSKI CF, 1977, THEOR DECIS, V8, P229, DOI 10.1007/BF00133443
   Marenya PP, 2007, FOOD POLICY, V32, P515, DOI 10.1016/j.foodpol.2006.10.002
   MCFADDEN D, 1980, J BUS, V53, pS13, DOI 10.1086/296093
   Mhango WG, 2013, RENEW AGR FOOD SYST, V28, P234, DOI 10.1017/S1742170512000178
   Minot N., 2006, Research Report No.145 IFPRI, P1
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndhlovu D., 2010, Determinants of farm households' cropland allocation and crop diversification decisions: The role of fertilizer subsidies in Malawi
   NSO, 2017, Fourth Integrated Household Survey 20162017
   Ojo T., 2018, Int. Assoc. Agric. Econ, DOI [10.22004/ag.econ.277011, DOI 10.22004/AG.ECON.277011]
   Omotoso AB, 2023, J CLEAN PROD, V414, DOI 10.1016/j.jclepro.2023.137487
   Ozor N., 2011, Journal of Agricultural Extension and Rural Development, V3, P42, DOI [DOI 10.5897/JAERD.9000074, 10.5897/JAERD.9000074]
   Pangapanga PI, 2012, INT J DISAST RISK RE, V2, P57, DOI 10.1016/j.ijdrr.2012.08.002
   Phanga-phanga, 2002, Determinants of Poverty in Malawi: A household Level Analysis
   Pratt OJ, 2016, AGROECOL SUST FOOD, V40, P1043, DOI 10.1080/21683565.2016.1230568
   Rehima M., 2013, International Journal of Agricultural Sciences, V3, P558
   Sichoongwe K., 2014, Journal of Agricultural Science (Toronto), V6, P150
   Sisay A., 2019, Agric. Res. Tech, V22, P556192
   Smelser N., 2003, New Institutionalism, Economic and Sociology
   Snapp S., 2018, Pulse Crop for Sustainable Farms in Sub-Saharan Africa
   TILMAN D, 1994, NATURE, V367, P363, DOI 10.1038/367363a0
   Webber H, 2014, AGR SYST, V127, P161, DOI 10.1016/j.agsy.2013.12.006
   White S., 2016, Research on Multipurpose Legumes in Malawi: Synthesis Report, Global Center for Food Systems Innovation
   World Bank, 2023, Malawi Overview: Development News, Research and Data
   Yirga C., 2008, Res. Gate, V7, P83
   Zakari S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052847
NR 51
TC 1
Z9 1
U1 3
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2024
VL 16
IS 2
AR 602
DI 10.3390/su16020602
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 GF0R4
UT WOS:001151138300001
OA gold
DA 2025-01-10
ER

PT J
AU Escriva-Bou, A
   Pulido-Velazquez, M
   Pulido-Velazquez, D
AF Escriva-Bou, Alvar
   Pulido-Velazquez, Manuel
   Pulido-Velazquez, David
TI Economic Value of Climate Change Adaptation Strategies for Water
   Management in Spain's Jucar Basin
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
ID RIVER-BASIN; CHANGE SCENARIOS; CONJUNCTIVE-USE; CHANGE IMPACTS;
   RESOURCES; GROUNDWATER; SYSTEM; SCARCITY; MODELS; PERFORMANCE
AB Although many recent studies have quantified the potential effects of climate change on water resource systems, the scientific community faces now the challenge of developing methods for assessing and selecting climate change adaptation options. This paper presents a method for assessing impacts and adaptation strategies to global change in a river basin system at different temporal horizons using a hydro-economic model. First, a multiobjective analysis selects climate change projections based on the fitting of the climate models to the historical conditions for the historical period. Inflows for climate change scenarios are generated using calibrated rainfall-runoff models, perturbing observed meteorological time series according to the projected anomalies in mean and standard deviation. Demands are projected for the different scenarios and characterized using economic demand curves. With the new water resource and demand scenarios, the impact of global change on system performance is assessed using a hydro-economic model with reliability and economic indices. A new economic loss index is defined to assess the economic equity of the system. Selected adaptation strategies are simulated to compare performance with the business-as-usual scenario. The approach is applied to the Jucar River water resource system, in eastern Spain, using climate projections from the European Union (EU) ENSEMBLES project. Results show that the system is vulnerable to global change, especially over the long term, and that adaptation actions can save Euro3-65million/year. (C) 2017 American Society of Civil Engineers.
C1 [Escriva-Bou, Alvar] Publ Policy Inst Calif, Water Policy Ctr, San Francisco, CA 94111 USA.
   [Pulido-Velazquez, Manuel] Univ Politecn Valencia, IIAMA, Res Inst Water & Environm Engn, Valencia, Spain.
   [Pulido-Velazquez, David] Inst Geol & Minero Espana, Granada, Spain.
   [Pulido-Velazquez, David] Univ Catolica San Antonio Murcia, Escuela Univ Politecn, Dept Ciencias Politecn, Murcia, Spain.
C3 Universitat Politecnica de Valencia; Universidad Catolica de Murcia
RP Escriva-Bou, A (corresponding author), Publ Policy Inst Calif, Water Policy Ctr, San Francisco, CA 94111 USA.
EM alesbou@gmail.com
RI Escriva-Bou, Alvar/JHT-9883-2023; PULIDO-VELAZQUEZ, MANUEL/N-1619-2014;
   Pulido-Velazquez, David/D-7412-2013
OI PULIDO-VELAZQUEZ, MANUEL/0000-0001-7009-6130; Pulido-Velazquez,
   David/0000-0001-7985-0769
FU IMPADAPT project of the National Research Plan [CGL2013-48424-C2-1-R,
   CGL2013-48424-C2-2-R]; Spanish Ministry MINECO (Ministerio de Economia y
   Competitividad); European Federation funds; Erasmus Mundus Programme of
   the European Commission under the Transatlantic Partnership for
   Excellence in Engineering-TEE Project; EU FP6 Integrated Project
   ENSEMBLES [505539];  [PMAFI06/14]
FX This research was partially supported by the IMPADAPT project
   (CGL2013-48424-C2-1-R and CGL2013-48424-C2-2-R) of the National Research
   Plan (Plan Estatal I+D+I 2013-2016), funded by the Spanish Ministry
   MINECO (Ministerio de Economia y Competitividad) and European Federation
   funds. It was also partially funded by the PMAFI06/14 project (UCAM).
   The work was also partially supported by a stay grant from the Erasmus
   Mundus Programme of the European Commission under the Transatlantic
   Partnership for Excellence in Engineering-TEE Project. The authors would
   like to thank Professor Jay R. Lund (University of California, Davis)
   for his insights. The ENSEMBLES data used in this work was funded by the
   EU FP6 Integrated Project ENSEMBLES (Contract Number 505539) whose
   support is gratefully acknowledged. The data can be downloaded from
   http://ensembles-eu.metoffice.com/.
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Andreu J, 1996, J HYDROL, V177, P269, DOI 10.1016/0022-1694(95)02963-X
   [Anonymous], 2011, World Population Prospects: The 2010 Revision
   [Anonymous], 2012, BLUEPR SAF EUR WAT R
   Asefa T, 2014, J HYDROL, V508, P53, DOI 10.1016/j.jhydrol.2013.10.043
   Ashofteh PS, 2013, J IRRIG DRAIN ENG, V139, P85, DOI 10.1061/(ASCE)IR.1943-4774.0000496
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Chirivella Osma V., 2010, CARACTERIZACION FUTU
   CHJ (Confederacion Hidrografica del Jucar), 2009, DOC TECN REF MET RES
   Confederacion Hidrografica del Jucar (CHJ), 2014, MEM PROYECT PLAN HID
   Connell-Buck CR, 2011, CLIMATIC CHANGE, V109, P133, DOI 10.1007/s10584-011-0302-7
   Diaz-Nieto J, 2005, CLIMATIC CHANGE, V69, P245, DOI 10.1007/s10584-005-1157-6
   Ekström M, 2013, GLOBAL ENVIRON CHANG, V23, P115, DOI 10.1016/j.gloenvcha.2012.11.003
   El-Baroudy I, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002828
   Erfani T, 2014, WATER RESOUR RES, V50, P4726, DOI 10.1002/2013WR014493
   Estrela T, 2012, HYDROLOG SCI J, V57, P1154, DOI 10.1080/02626667.2012.702213
   Estrela T, 1996, RIVERTECH '96 - 1ST INTERNATIONAL CONFERENCE ON NEW/EMERGING CONCEPTS FOR RIVERS, PROCEEDINGS, VOLS 1 AND 2, P861
   Ferrer J, 2012, SCI TOTAL ENVIRON, V440, P42, DOI 10.1016/j.scitotenv.2012.08.032
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Fowler KJA, 2016, WATER RESOUR RES, V52, P1820, DOI 10.1002/2015WR018068
   Garcia Valinas M. A., 2004, 3 C IB GEST PLAN AG, P232
   Girard C, 2015, GLOBAL ENVIRON CHANG, V34, P132, DOI 10.1016/j.gloenvcha.2015.07.002
   Girard C, 2015, WATER RESOUR MANAG, V29, P4129, DOI 10.1007/s11269-015-1049-0
   Girard C, 2015, ENVIRON MODELL SOFTW, V69, P42, DOI 10.1016/j.envsoft.2015.02.023
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P21, DOI 10.1029/WR018i001p00021
   Heinz I, 2007, WATER RESOUR MANAG, V21, P1103, DOI 10.1007/s11269-006-9101-8
   Herrera S, 2012, INT J CLIMATOL, V32, P74, DOI 10.1002/joc.2256
   Hurd BH, 2012, CLIM RES, V53, P103, DOI 10.3354/cr01092
   INE (Instituto Nacional de Estadistica), 2016, EST SUM SAN AG
   IVE (Instituto Valenciano de Estadidtica), 2012, PROYECC POBL LARG PL
   JCRMO (Junta Central de Regantes de la Mancha Oriental), 2012, MEM JUNT CENTR REG L
   Jenkins MW, 2003, J AM WATER WORKS ASS, V95, P58
   Kragt ME, 2013, ENVIRON MODELL SOFTW, V39, P322, DOI 10.1016/j.envsoft.2012.06.015
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Lopez-Gunn E, 2003, WATER INT, V28, P367, DOI 10.1080/02508060308691711
   Macian-Sorribes H, 2015, HYDROL EARTH SYST SC, V19, P3925, DOI 10.5194/hess-19-3925-2015
   MAGRAMA, 2000, PLAN HIDR NAC
   MAIDMENT DR, 1985, WATER RESOUR RES, V21, P425, DOI 10.1029/WR021i004p00425
   Martin-Carrasco F, 2013, WATER RESOUR MANAG, V27, P1693, DOI 10.1007/s11269-012-0081-6
   Martin-Carrasco FJ, 2007, NATO SCI S SS IV EAR, V78, P301
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   MMA, 2004, CAR EC US AG SECT EN
   Molina JL, 2013, J HYDROL, V479, P113, DOI 10.1016/j.jhydrol.2012.11.038
   Pulido-Velazquez D, 2015, HYDROL PROCESS, V29, P828, DOI 10.1002/hyp.10191
   Pulido-Velazquez D, 2011, J HYDROL, V405, P110, DOI 10.1016/j.jhydrol.2011.05.014
   Pulido-Velazquez M, 2015, HYDROL EARTH SYST SC, V19, P1677, DOI 10.5194/hess-19-1677-2015
   Pulido-Velazquez M, 2013, J WATER RES PLAN MAN, V139, P583, DOI 10.1061/(ASCE)WR.1943-5452.0000262
   Pulido-Velazquez M, 2008, ECOL ECON, V66, P51, DOI 10.1016/j.ecolecon.2007.12.016
   Pulido-Velázquez M, 2006, J WATER RES PLAN MAN, V132, P454, DOI 10.1061/(ASCE)0733-9496(2006)132:6(454)
   Quevauviller P, 2012, SCI TOTAL ENVIRON, V440, P167, DOI 10.1016/j.scitotenv.2012.07.055
   Riegels N, 2013, J WATER RES PLAN MAN, V139, P574, DOI 10.1061/(ASCE)WR.1943-5452.0000284
   Sanz D, 2011, HYDROGEOL J, V19, P475, DOI 10.1007/s10040-010-0694-x
   Seiller G, 2014, HYDROL EARTH SYST SC, V18, P2033, DOI 10.5194/hess-18-2033-2014
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Sumpsi J.M., 1998, EC POLITICA GESTION
   Tanaka SK, 2006, CLIMATIC CHANGE, V76, P361, DOI 10.1007/s10584-006-9079-5
   Temez J.R., 1977, Modelo Matematico de Trasformacion 'Precipitacion- Escorrentia.'
   Thirel G, 2015, HYDROLOG SCI J, V60, P1165, DOI 10.1080/02626667.2015.1050027
   van der Linden P., 2009, ENSEMBLES CLIMATE CH
   Vicuna S, 2007, CLIMATIC CHANGE, V82, P327, DOI [10.1007/s10584-006-9207-2, 10.1007/s 10584-006-9207-2]
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Yang YCE, 2013, WATER INT, V38, P632, DOI 10.1080/02508060.2013.830691
NR 64
TC 54
Z9 54
U1 2
U2 36
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9496
EI 1943-5452
J9 J WATER RES PLAN MAN
JI J. Water Resour. Plan. Manage.-ASCE
PD MAY
PY 2017
VL 143
IS 5
AR 04017005
DI 10.1061/(ASCE)WR.1943-5452.0000735
PG 13
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA ER1YN
UT WOS:000398591200002
OA Green Published
DA 2025-01-10
ER

PT J
AU Sadler, A
   Ranger, N
   Fankhauser, S
   Marotta, F
   O'Callaghan, B
AF Sadler, Alexandra
   Ranger, Nicola
   Fankhauser, Sam
   Marotta, Fulvia
   O'Callaghan, Brian
TI The impact of COVID-19 fiscal spending on climate change adaptation and
   resilience
SO NATURE SUSTAINABILITY
LA English
DT Article
ID RISK
AB Government expenditure and taxation have a significant influence on the long-term adaptation and resilience of societies to climate and other environmental shocks. Unprecedented fiscal spending in the COVID-19 recovery offered an opportunity to systematically enhance adaptation and resilience to future shocks. But did the 'build back better' rhetoric manifest in more resilient policy? We develop a dedicated fiscal policy taxonomy for climate change adaptation and resilience (A&R)-the Climate Resilience and Adaptation Financing Taxonomy (CRAFT)-and apply this to analyse similar to 8,000 government policies across 88 countries. We find that US$279-334 billion (9.7-11.1%) of economic recovery spending potentially had direct A&R benefits. This positive spending is substantial in absolute terms but falls well below adaptation needs. Moreover, a notable portion (27.6-28%) of recovery spending may have had negative impacts on A&R, acting to lock in non-resilient infrastructure. We add a deep learning algorithm to consider A&R themes in associated COVID-19 policy documents. Compared with climate mitigation, A&R received only one-third of the spending and was mentioned only one-seventh as frequently in policy documents. These results suggest that the COVID-19 fiscal response missed many opportunities to advance climate A&R. We draw conclusions for how to better align fiscal policy with A&R.
C1 [Sadler, Alexandra; Fankhauser, Sam; Marotta, Fulvia; O'Callaghan, Brian] Univ Oxford, Smith Sch Enterprise & Environm, Sch Geog & Environm, Oxford, England.
   [Sadler, Alexandra] Univ Edinburgh, Global Acad Agr & Food Syst, Edinburgh, Scotland.
   [Ranger, Nicola] Univ Oxford, Environm Change Inst, Oxford, England.
   [Ranger, Nicola; O'Callaghan, Brian] Univ Oxford, Inst New Econ Thinking, Oxford Martin Sch, Oxford, England.
C3 University of Oxford; University of Edinburgh; University of Oxford;
   University of Oxford
RP Sadler, A (corresponding author), Univ Oxford, Smith Sch Enterprise & Environm, Sch Geog & Environm, Oxford, England.; Sadler, A (corresponding author), Univ Edinburgh, Global Acad Agr & Food Syst, Edinburgh, Scotland.
EM a.g.sadler@sms.ed.ac.uk
OI Sadler, Alexandra/0000-0001-9000-7692; Fankhauser,
   Samuel/0000-0003-2100-7888; Marotta, Fulvia/0009-0000-2935-9891; Ranger,
   Nicola/0000-0003-4677-7782
FU Green Fiscal Policy Network; Children's Investment Fund Foundation;
   ClimateWorks Foundation; United Nations Environment Programme (UNEP);
   Climate Compatible Growth Programme of the United Kingdom's Foreign,
   Commonwealth and Development Office (FCDO)
FX We thank C. Hepburn for counsel in developing GRO and considering its
   useful applications; B. Boileau and N. Yau for assistance with
   literature review for A&R scoring; the 35 research assistants who
   provided tracked national spending profiles over 2020-2021 for the
   Global Recovery Observatory, namely: Z. Angell, R. Bagwan, O. Bater, E.
   Beal, K. Bentley, F. Bialek, A. Blackwood, B. Boileau, H. Bulut, K.
   Chowdhry, Z. Didarali, O. Erder, H. Flodell, Ge. Grey, S. Gupta, A.
   Hangchi, T. Hazell, L. Heeney, D. Hristov, A. Janz, T. Lee, M. Karlubik,
   A. Kitsberg, H. Kope, E. Murdock, N. Ostrovsky, K. Polkinghorne, L. M.
   Purroy Sanchez, N. Rosenbaum, L. Tillmann-Morris, D. Tritsch, M. Wang,
   E. Wen and N. Yau; E. Murdoch, E. Beal, L. Heeney, N. Yau and Z.
   Didarali for coordinating various aspects of GRO tracking. We gratefully
   acknowledge funding from the following organizations: Green Fiscal
   Policy Network; Children's Investment Fund Foundation; ClimateWorks
   Foundation; United Nations Environment Programme (UNEP); Climate
   Compatible Growth Programme of the United Kingdom's Foreign,
   Commonwealth and Development Office (FCDO). The Global Recovery
   Observatory is a partnership between the Smith School of Enterprise and
   Environment at Oxford University, UNEP, the United Nations Development
   Programme (UNDP), the Partnership for Action on Green Economy (PAGE) and
   partners of the Green Fiscal Policy Network (the International Monetary
   Fund, UNEP and the Deutsche Gesellschaft fur Internationale
   Zusammenarbeit).
CR Allen CR, 2019, NAT SUSTAIN, V2, P898, DOI 10.1038/s41893-019-0401-4
   [Anonymous], 2021, BUILD BACK BETT OUR
   [Anonymous], 2021, Adaptation gap report 2021: the gathering storm-adapting to climate change in a post-pandemic world
   [Anonymous], 2020, BUILDING BACK BETTER
   [Anonymous], 2021, JOINT MDB ASS FRAM P
   [Anonymous], 2021, AR WE BUILD BACK BET
   [Anonymous], 2022, SHARM EL SHEIKH AD A
   [Anonymous], 2021, GREENN STIM IND ASS
   [Anonymous], 2021, BUILDING BACK BETTER
   [Anonymous], 2022, OECD tourism trends and policies 2022
   [Anonymous], 2020, EU TAX SUST ACT
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Bingler JA, 2022, FINANC RES LETT, V47, DOI 10.1016/j.frl.2022.102776
   Birkmann J, 2015, INT J GLOBAL WARM, V8, P191, DOI 10.1504/IJGW.2015.071963
   Chaigneau T, 2022, NAT SUSTAIN, V5, P287, DOI 10.1038/s41893-021-00790-8
   Chapagain D, 2020, CLIM DEV, V12, P934, DOI 10.1080/17565529.2020.1711698
   Chen C., 2015, Country Index Technical Report
   Climate Policy Initiative, 2022, Global Landscape of Climate Finance: A Decade of Data
   Colenbrander S, 2018, CLIM POLICY, V18, P902, DOI 10.1080/14693062.2017.1388212
   Davis SJ, 2022, NAT CLIM CHANGE, V12, P412, DOI 10.1038/s41558-022-01332-6
   de Boer J, 2010, GLOBAL ENVIRON CHANG, V20, P502, DOI 10.1016/j.gloenvcha.2010.03.003
   Department of Energy, 2020, DEP EN ANN 33 MILL N
   Devlin J, 2019, 2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1, P4171
   Dicker S., 2021, Saving lives and livelihoods: The benefits of investments in climate change adaptation and resilience
   Einecker R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176935
   Fisch-Romito V, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/aba660
   Giannetti BF, 2015, J CLEAN PROD, V87, P11, DOI 10.1016/j.jclepro.2014.10.051
   Giglio S., 2023, Biodiversity risk
   GNI per Capita, 2022, ATL METH CURR US
   Goel RK, 2020, J POLICY MODEL, V43, P298, DOI 10.1016/j.jpolmod.2021.01.003
   Ha S, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2020.100195
   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]
   Hayes S, 2019, TRANSPORT REV, V39, P677, DOI 10.1080/01441647.2019.1612480
   Hepburn C, 2020, OXFORD REV ECON POL, V36, pS359, DOI 10.1093/oxrep/graa015
   IEA-International Energy Agency, 2021, World Energy Outlook
   King G, 2017, AM J POLIT SCI, V61, P971, DOI 10.1111/ajps.12291
   Kirshen P, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000443
   Klenert D, 2020, ENVIRON RESOUR ECON, V76, P751, DOI 10.1007/s10640-020-00453-w
   Li HM, 2021, ADV CLIM CHANG RES, V12, P384, DOI 10.1016/j.accre.2021.05.006
   MANCA A, 2017, JRC SCI POLICY REPOR
   Manzanedo RD, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140563
   Marshall IJ, 2019, SYST REV-LONDON, V8, DOI 10.1186/s13643-019-1074-9
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Muttarak R, 2014, ECOL SOC, V19, DOI 10.5751/ES-06476-190142
   Noble I., 2014, CLIMATE CHANGE 2014, P613
   Nojun, 2021, PREPRINT
   O'Callaghan B., 2022, THESIS U OXFORD
   O'Callaghan B, 2022, ANNU REV ENV RESOUR, V47, P697, DOI 10.1146/annurev-environ-112420-020640
   OCallaghan B., 2021, ARE WE BUILDING BACK
   OCallaghan B., 2023, GLOBAL RECOVERY OBSE
   Pigato M.A., 2021, COVID 19 CRISIS ROAD
   Portner H.-O., 2022, CLIMATE CHANGE 2022, P12
   Rockström J, 2023, NAT SUSTAIN, V6, P897, DOI 10.1038/s41893-023-01105-9
   Ryan-Collins J., 2023, MONETARY FISCAL POLI
   Saboori B, 2022, PROG DISASTER SCI, V16, DOI 10.1016/j.pdisas.2022.100252
   Sautner Z, 2023, J FINANC, DOI 10.1111/jofi.13219
   Scott C.A., 2015, GOVERNING NEXUS WATE, P15, DOI [10.1007/978-3-319-05747-7.pdf, DOI 10.1007/978-3-319-05747-7.PDF]
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Songwe, 2022, FINANCE CLIMATE ACTI
   Stiglitz E., 2010, READHOWYOUWANT
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   UNDRR, 2023, DES CLIM RES CLASS F
   United Nations Climate Change, 2021, COP26 OUTC FIN CLIM
   Urban F., 2011, Climate change, disasters and electricity generation
   Vaswani A., 2017, NIPS, V30, P1
   Wamsler C, 2012, ECOL SOC, V17, DOI 10.5751/ES-04645-170202
   Westerhoff L, 2011, CLIM POLICY, V11, P1071, DOI 10.1080/14693062.2011.579258
   Zhang N, 2022, ANNU REV PSYCHOL, V73, P575, DOI 10.1146/annurev-psych-030221-031857
   Zhao WW, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01283-5
NR 72
TC 2
Z9 2
U1 11
U2 23
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2398-9629
J9 NAT SUSTAIN
JI Nat. Sustain.
PD MAR
PY 2024
VL 7
IS 3
DI 10.1038/s41893-024-01269-y
EA FEB 2024
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 LU7R2
UT WOS:001155824900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Király, G
   Giuseppina, R
   Tóth, J
AF Kiraly, Gabor
   Giuseppina, Rizzo
   Toth, Jozsef
TI Transition to Organic Farming: A Case from Hungary
SO AGRONOMY-BASEL
LA English
DT Article
DE organic farming; climate change adaptation; Hungary; FADN
ID CLIMATE-CHANGE BELIEFS; RISK PERCEPTIONS; ENVIRONMENTAL IMPACTS;
   INDIVIDUAL ADAPTATION; HOMO-ECONOMICUS; LAND-USE; AGRICULTURE; ADOPTION;
   FARMERS; FOOD
AB Sustainable agricultural solutions have emerged as feasible options for mitigating the negative environmental impacts created by agricultural production or adapting to inevitable climate change. Organic food production has become one of the most popular sustainable solutions among these. There is also a clear scientific consensus that transformative changes in agricultural systems and practice are needed as a response to the effects of climate change. A great variety of factors that influence the transition to organic farming have been found and identified over time. To understand the dynamics that lead farmers to move to organic farming, it is necessary to examine the relationship between these factors. In this study, we investigated the impacts of certain factors on the possibility of Hungarian farmers' conversion to organic production in the context of climate change adaptation. This dynamic was studied using descriptive and exploratory techniques on a cross-sectional sample. While the study supported certain well-established facts, it also yielded some surprising findings. One of our findings is that the transition to organic farming does not seem to be motivated by the perception of bad weather events, which is somewhat surprising. This outcome contradicts the frequently claimed idea that organic farming may be a successful adaptation strategy.
C1 [Kiraly, Gabor] Inst Agr Econ, Social Res Dept, Sustainabil Res Directorate, H-1093 Budapest, Hungary.
   [Giuseppina, Rizzo] Univ Palermo, Dept Agr Food & Forest Sci, I-90128 Palermo, Italy.
   [Toth, Jozsef] Corvinus Univ Budapest, Inst Dev Enterprises, H-1093 Budapest, Hungary.
   [Toth, Jozsef] Sapientia Hungarian Univ Transylvania, Fac Econ Sociohuman Sci & Engn, Miercurea Ciuc 530104, Romania.
C3 University of Palermo; Corvinus University Budapest; Sapientia Hungarian
   University of Transylvania
RP Király, G (corresponding author), Inst Agr Econ, Social Res Dept, Sustainabil Res Directorate, H-1093 Budapest, Hungary.
EM kiraly.gabor@aki.gov.hu
RI Toth, Jozsef/ABI-6303-2020; Rizzo, Giuseppina/AGP-2399-2022; Király,
   Gábor/ABD-5089-2020
OI RIZZO, Giuseppina/0000-0002-8103-7512; Kiraly,
   Gabor/0000-0001-7728-6367; Toth, Jozsef/0000-0001-6833-0426
FU Hungarian National Research, Development and Innovation Office [120563]
FX Research was supported by the Hungarian National Research, Development
   and Innovation Office, Grant No. 120563, "Innovation resilience in food
   production and consumption".
CR Adesope OM., 2012, Crop Production Technologies, P210, DOI [10.5772/30712, DOI 10.5772/30712]
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Angus A, 2009, LAND USE POLICY, V26, pS230, DOI 10.1016/j.landusepol.2009.09.020
   [Anonymous], 2007, J AGR RES TROP SUBTR
   [Anonymous], 2018, CAP explained: direct payments for farmers 2015-2020, DOI DOI 10.2762/572019
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Asian S, 2019, INT J PROD ECON, V218, P322, DOI 10.1016/j.ijpe.2019.06.010
   Azam S, 2015, Int J Adv Res, V3, P713
   Aznar-Sánchez JA, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10040506
   Babai D, 2015, BIODIVERS CONSERV, V24, P3305, DOI 10.1007/s10531-015-0971-z
   Bais-Moleman AL, 2019, GEODERMA, V338, P555, DOI 10.1016/j.geoderma.2018.11.042
   Barabanova Y, 2015, TRANSFORMING FOOD FA
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Bengtsson J, 2005, J APPL ECOL, V42, P261, DOI 10.1111/j.1365-2664.2005.01005.x
   Bertoni D, 2021, ENVIRON SCI POLICY, V119, P44, DOI 10.1016/j.envsci.2021.01.008
   Bertoni D, 2018, LAND USE POLICY, V79, P789, DOI 10.1016/j.landusepol.2018.09.012
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Borron S, 2006, BUILDING RESILIENCE, P1
   Brenes-Muñoz T, 2016, GER J AGR ECON, V65, P1
   Brown C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.448
   Brügger A, 2015, NAT CLIM CHANGE, V5, P1031, DOI 10.1038/NCLIMATE2760
   Bui HTM, 2021, ORG AGR, V11, P51, DOI 10.1007/s13165-020-00322-2
   Church SP, 2018, AGR HUM VALUES, V35, P349, DOI 10.1007/s10460-017-9827-3
   Clark S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177012
   Clayton S, 2015, NAT CLIM CHANGE, V5, P640, DOI [10.1038/nclimate2622, 10.1038/NCLIMATE2622]
   Crowder DW, 2015, P NATL ACAD SCI USA, V112, P7611, DOI 10.1073/pnas.1423674112
   D'Amato A, 2021, J CLEAN PROD, V309, DOI 10.1016/j.jclepro.2021.127060
   Davidson D, 2016, NAT CLIM CHANGE, V6, P433, DOI 10.1038/nclimate3007
   de Ponti T, 2012, AGR SYST, V108, P1, DOI 10.1016/j.agsy.2011.12.004
   Dessart FJ, 2019, EUR REV AGRIC ECON, V46, P417, DOI 10.1093/erae/jbz019
   Drabarczyk K., 2015, ZESZ NAUK SGGW EKON, V111, P19, DOI [10.22630/EIOGZ.2015.111.31, DOI 10.22630/EIOGZ.2015.111.31]
   Erb KH, 2008, J IND ECOL, V12, P686, DOI 10.1111/j.1530-9290.2008.00076.x
   Erjavec K, 2015, FOOD POLICY, V51, P53, DOI 10.1016/j.foodpol.2014.12.006
   Etikan I., 2016, American Journal of Theoretical and Applied Statistics, V5, P1, DOI [10.11648/j.ajtas.20160501.11, DOI 10.11648/J.AJTAS.20160501.11]
   EU SCAR, 2015, Agricultural Knowledge and Innovation Systems towards the FutureA Foresight Paper
   Eurostat, 2019, GREENHOUSE GAS EMISS
   Eyhorn F, 2019, NAT SUSTAIN, V2, P253, DOI 10.1038/s41893-019-0266-6
   FAO, 2020, Faostat analytical brief series
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Fess TL, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010272
   Foguesatto CR, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138831
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Gan C., 2014, CONSUMER ATTITUDES P, V15
   Gargano G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042215
   Gattinger A, 2012, P NATL ACAD SCI USA, V109, P18226, DOI 10.1073/pnas.1209429109
   Godde CM, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2020.100488
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haney W.G., 2019, AGRIC NAT RESOUR, DOI [10.4324/9780429042294, DOI 10.4324/9780429042294]
   Hart K., 2012, Politica Agricola Internazionale/ International Agricultural Policy, V1, P19
   Ikerd J., 1993, SMALL FARM TODAY, V10, P30
   Jager W, 2000, ECOL ECON, V35, P357, DOI 10.1016/S0921-8009(00)00220-2
   Jägermeyr J, 2021, NAT FOOD, V2, P875, DOI 10.1038/s43016-021-00400-y
   Janssen M, 2012, FOOD QUAL PREFER, V25, P9, DOI 10.1016/j.foodqual.2011.12.004
   Jones P., 2004, British Food Journal, V106, P328, DOI 10.1108/00070700410529582
   Kahan DM, 2015, POLIT PSYCHOL, V36, P1, DOI 10.1111/pops.12244
   Kamala IM, 2021, SUSTAINABLE INTENSIF, DOI [10.1007/978-981-16-3207-5_21, DOI 10.1007/978-981-16-3207-5_21]
   Kerdsriserm C., 2016, INT J AGR TECHNOL, V12, P1227
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kleijn D, 2009, P R SOC B, V276, P903, DOI 10.1098/rspb.2008.1509
   Klein R.J.T., 2014, Assess. Rep. 5-Clim. Chang. 2014 Impacts, P899
   Klerkx L, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.100315
   Kotschi J., 2004, ROLE ORG AGR MITIGAT
   Kughur PG., 2015, IOSR J. Agric. Vet. Sci. Vet. I, V8, P2319, DOI DOI 10.9790/2380-08810711
   Läpple D, 2011, ECOL ECON, V70, P1406, DOI 10.1016/j.ecolecon.2011.03.002
   Lane D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133599
   Lane D, 2018, RENEW AGR FOOD SYST, V33, P197, DOI 10.1017/S1742170517000710
   Levine J, 2015, ECOL ECON, V114, P22, DOI 10.1016/j.ecolecon.2015.03.010
   Liu Xuan-li, 2019, Agricultural Sciences, V10, P1566, DOI 10.4236/as.2019.1012115
   Luttik R, 2000, ZICHT GEZONDE TEELT
   Ma WL, 2017, CHINA AGR ECON REV, V9, P211, DOI [10.1108/caer-05-2016-0070, 10.1108/CAER-05-2016-0070]
   Mader P, 2014, P 4 ISOFAR SCI C BUI
   Malá Z, 2013, AGR ECON-CZECH, V59, P19, DOI 10.17221/10/2012-AGRICECON
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Matthews A, 2013, GREENING CAP PAYMENT, P1
   Mazur N, 2013, SOC NATUR RESOUR, V26, P75, DOI 10.1080/08941920.2012.686650
   Mazurek-Kusiak A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148005
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   McMichael AJ, 2007, LANCET, V370, P1253, DOI 10.1016/S0140-6736(07)61256-2
   Méda YJM, 2018, INT J AGR SUSTAIN, V16, P40, DOI 10.1080/14735903.2018.1429523
   Meemken EM, 2018, ANNU REV RESOUR ECON, V10, P39, DOI 10.1146/annurev-resource-100517-023252
   Meier MS, 2015, J ENVIRON MANAGE, V149, P193, DOI 10.1016/j.jenvman.2014.10.006
   Meredith S., 2014, ORGANIC EUROPE PROSP, DOI 978-3-03736-261-7
   Mili S, 2017, NEW MEDIT, V16, P2
   Mills J., 2016, Agriculture and Human Values, V34, P283, DOI DOI 10.1007/S10460-016-9705-4
   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
   Mrinila Singh Mrinila Singh, 2015, Asian Journal of Agriculture and Rural Development, V5, P1
   Muller A, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01410-w
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Pathak HS, 2019, PRECIS AGRIC, V20, P1292, DOI 10.1007/s11119-019-09653-x
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Ponisio LC, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.1396
   Pradhan M., 2017, INT J ADV SCI RES DE, V4, P1
   Pretty J, 2018, NAT SUSTAIN, V1, P441, DOI 10.1038/s41893-018-0114-0
   Rana S., 2012, C INT RES FOOD SECUR
   Reganold JP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2015.221, 10.1038/nplants.2015.221]
   Sapbamrer R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073842
   Schattman RE, 2021, SOC NATUR RESOUR, V34, P763, DOI 10.1080/08941920.2021.1894283
   Schattman RE, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000131
   Scialabba NEH, 2010, RENEW AGR FOOD SYST, V25, P158, DOI 10.1017/S1742170510000116
   Seufert V, 2017, FOOD POLICY, V68, P10, DOI 10.1016/j.foodpol.2016.12.009
   Seufert V, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602638
   Shaban A. A., 2015, British Journal of Economics, Management and Trade, V5, P78, DOI 10.9734/BJEMT/2015/11708
   Shukla PR, 2019, 2019: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems
   Siegrist S, 1998, AGR ECOSYST ENVIRON, V69, P253, DOI 10.1016/S0167-8809(98)00113-3
   Singh M, 2014, SCI TOTAL ENVIRON, V472, P437, DOI 10.1016/j.scitotenv.2013.11.078
   Sriwichailamphan T., 2014, INT J EC MANAG SCI, V3, P2, DOI [10.4172/2162-6359.1000179, DOI 10.4172/2162-6359.1000179]
   Stolze M., 2016, CAP 2014 2020 ORG FA
   Thaler Richard H., 2018, Rev.econ.inst., V20, P9
   Thorsoe MH, 2019, LAND USE POLICY, V86, P427, DOI 10.1016/j.landusepol.2019.05.017
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   Vulturius G, 2018, REG ENVIRON CHANGE, V18, P511, DOI 10.1007/s10113-017-1218-1
   Wang XF, 2020, CHEST, V158, pS65, DOI 10.1016/j.chest.2020.03.012
   Westhoek HJ, 2013, ENVIRON SCI POLICY, V32, P5, DOI 10.1016/j.envsci.2012.06.015
   Willer H., 2016, WORLD ORGANIC AGR ST
   Wolfe DW, 2008, MITIG ADAPT STRAT GL, V13, P555, DOI 10.1007/s11027-007-9125-2
   Wollni M, 2014, ECOL ECON, V97, P120, DOI 10.1016/j.ecolecon.2013.11.010
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   Xie Y., 2015, Journal of Agribusiness and Rural Development, V2, P353, DOI [10.17306/JARD.2015.38, DOI 10.17306/JARD.2015.38]
   Yanakittkul P, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2019.e03039
   Zakari S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052847
   Zeraatpisheh M, 2020, GEODERMA, V363, DOI 10.1016/j.geoderma.2019.114139
   Zundel C., 2007, ORG AGR FOOD AVAILAB
NR 124
TC 4
Z9 4
U1 4
U2 21
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 2022
VL 12
IS 10
AR 2435
DI 10.3390/agronomy12102435
PG 16
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA 5N9PA
UT WOS:000872116700001
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Singh, PK
   Papageorgiou, K
   Chudasama, H
   Papageorgiou, EI
AF Singh, Pramod K.
   Papageorgiou, Konstantinos
   Chudasama, Harpalsinh
   Papageorgiou, Elpiniki I.
TI Evaluating the Effectiveness of Climate Change Adaptations in the
   World's Largest Mangrove Ecosystem
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; transformative adaptation; limits to
   adaptation; adaptation barrier; fuzzy cognitive maps; resilience;
   sustainability; vulnerability; Sundarbans
ID FUZZY COGNITIVE MAPS; SEA-LEVEL; LIVELIHOODS; KNOWLEDGE; SERVICES;
   IMPACTS; ISLAND; LAND
AB The Sundarbans is the world's largest coastal river delta and the largest uninterrupted mangrove ecosystem. A complex socio-ecological setting, coupled with disproportionately high climate-change exposure and severe ecological and social vulnerabilities, has turned it into a climate hotspot requiring well-designed adaptation interventions. We have used the fuzzy cognitive maps (FCM)-based approach to elicit and integrate stakeholders' perceptions regarding current climate forcing, consequent impacts, and efficacy of the existing adaptation measures. We have also undertaken climate modelling to ascertain long-term future trends of climate forcing. FCM-based simulations reveal that while existing adaptation practices provide resilience to an extent, they are grossly inadequate in the context of providing future resilience. Even well-planned adaptations may not be entirely transformative in such a fragile ecosystem. It was through FCM-based simulations that we realised that a coastal river delta in a developing nation merits special attention for climate-resilient adaptation planning and execution. Measures that are likely to enhance adaptive capabilities of the local communities include those involving gender-responsive and adaptive governance, human resource capacity building, commitments of global communities for adaptation financing, education and awareness programmes, and embedding indigenous and local knowledge into decision making.
C1 [Singh, Pramod K.; Chudasama, Harpalsinh] IRMA, Anand 388001, Gujarat, India.
   [Papageorgiou, Konstantinos] Univ Thessaly, Comp Sci Dept, Lamia 35100, Greece.
   [Papageorgiou, Elpiniki I.] Univ Thessaly, Fac Technol, Larisa 41500, Greece.
C3 Institute of Rural Management Anand; University of Thessaly
RP Singh, PK (corresponding author), IRMA, Anand 388001, Gujarat, India.
EM pramod@irma.ac.in; konpapageorgiou@uth.gr; harpalsinh@irma.ac.in;
   elpinikipapageorgiou@uth.gr
RI Singh, Pramod/AAS-1648-2021; PAPAGEORGIOU, ELPINIKI/AAG-7122-2020
OI Papageorgiou, Konstantinos/0000-0002-6117-1220; Singh, Pramod
   K/0000-0003-2212-0583; PAPAGEORGIOU, ELPINIKI/0000-0003-2498-9661;
   Chudasama, Harpalsinh/0000-0002-1742-6812
FU Department of Science and Technology, Government of India
FX This research was funded by the Department of Science and Technology,
   Government of India.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Antwi-Agyei P, 2015, CLIM DEV, V7, P297, DOI 10.1080/17565529.2014.951013
   Antwi-Agyei P, 2018, CLIM RISK MANAG, V19, P83, DOI 10.1016/j.crm.2017.11.003
   Asfaw S, 2018, WORLD DEV, V101, P219, DOI 10.1016/j.worlddev.2017.09.004
   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
   Behera R, 2019, NAT HAZARDS, V96, P731, DOI 10.1007/s11069-018-03566-0
   DECONINCK H, 2018, GLOBAL WARMING 1 5 C, DOI DOI 10.5281/ZENODO.1289889
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Government of India, CENS 2011
   Hempel S, 2013, EARTH SYST DYNAM, V4, P219, DOI 10.5194/esd-4-219-2013
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hossain MS, 2016, REG ENVIRON CHANGE, V16, P429, DOI 10.1007/s10113-014-0748-z
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jetter AJ, 2014, FUTURES, V61, P45, DOI 10.1016/j.futures.2014.05.002
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kay JE, 2015, B AM METEOROL SOC, V96, P1333, DOI 10.1175/BAMS-D-13-00255.1
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   KOSKO B, 1986, INT J MAN MACH STUD, V24, P65, DOI 10.1016/S0020-7373(86)80040-2
   Lara RJ, 2011, WETL ECOL MANAG, V19, P109, DOI 10.1007/s11273-010-9204-0
   Lentz EE, 2016, NAT CLIM CHANGE, V6, P696, DOI [10.1038/NCLIMATE2957, 10.1038/nclimate2957]
   Lim B., 2004, ADAPTATION POLICY FR, P248
   Little CM, 2015, NAT CLIM CHANGE, V5, P1114, DOI [10.1038/nclimate2801, 10.1038/NCLIMATE2801]
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Nalau J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103545
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Nápoles G, 2016, INFORM SCIENCES, V349, P154, DOI 10.1016/j.ins.2016.02.040
   Neogi SB., 2017, ASIAN J MED BIOL RES, V2, P488, DOI [10.3329/ajmbr.v2i4.30988, DOI 10.3329/AJMBR.V2I4.30988]
   Neset TS, 2019, CLIMATIC CHANGE, V153, P107, DOI 10.1007/s10584-019-02391-z
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Özesmi U, 2004, ECOL MODEL, V176, P43, DOI 10.1016/j.ecolmodel.2003.10.027
   Papageorgiou E., 2014, INTELLIGENT SYSTEMS, P54
   Papageorgiou E., 2012, INT PERSPECTIVES GLO, P427
   Papageorgiou E., 2018, P 9 INT C ENV MOD SO
   Parsons M, 2018, CLIM DEV, V10, P644, DOI 10.1080/17565529.2017.1410082
   Petzold J, 2019, CLIMATIC CHANGE, V152, P145, DOI 10.1007/s10584-018-2363-3
   Petzold J, 2015, OCEAN COAST MANAGE, V112, P36, DOI 10.1016/j.ocecoaman.2015.05.003
   Phillips JD, 2018, CATENA, V169, P107, DOI 10.1016/j.catena.2018.05.036
   Remling E, 2016, INT J CLIM CHANG STR, V8, P375, DOI 10.1108/IJCCSM-07-2015-0101
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Shackleton S, 2015, WIRES CLIM CHANGE, V6, P321, DOI 10.1002/wcc.335
   Singh PK, 2017, CLIMATIC CHANGE, V143, P337, DOI 10.1007/s10584-017-2007-z
   Singh PK, 2017, CLIMATIC CHANGE, V140, P179, DOI 10.1007/s10584-016-1817-8
   Singh PK, 2014, CLIMATIC CHANGE, V127, P475, DOI 10.1007/s10584-014-1275-0
   Solana-Gutiérrez J, 2017, ECOL MODEL, V360, P260, DOI 10.1016/j.ecolmodel.2017.07.010
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Temmerman S, 2015, SCIENCE, V349, P588, DOI 10.1126/science.aac8312
   Uddin Md. Shams, 2013, Asian Journal of Conservation Biology, V2, P152
   Van de Lageweg WI, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5020024
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   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]
   Wasko C, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08481-1
   Ziv G, 2018, APPL ENERG, V210, P487, DOI 10.1016/j.apenergy.2017.08.033
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 60
TC 26
Z9 26
U1 1
U2 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2019
VL 11
IS 23
AR 6655
DI 10.3390/su11236655
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 KD9MV
UT WOS:000508186400127
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Rocle, N
   Salles, D
AF Rocle, Nicolas
   Salles, Denis
TI "Pioneers but not guinea pigs": experimenting with climate change
   adaptation in French coastal areas
SO POLICY SCIENCES
LA English
DT Article
DE Climate change adaptation; Policy experimentation; Discursive
   institutionalism; Policy entrepreneur; Boundary work
ID ADAPTIVE GOVERNANCE; POLICY; MANAGEMENT; TRANSITIONS; POWER
AB Uncertainty surrounding climate change has encouraged policy makers to engage in flexible and exploratory policies and forms of policy making. The article examines the potential of experimentation in devising coastal adaptation policies, taking into account its political dimensions. We analysed a multi-level experiment, funded by the French Ministry for the Environment from 2012 to 2015, where coastal municipalities volunteered to simulate the implementation of planned retreat as an adaptation strategy. Using insights from discursive institutionalism, we tracked developments throughout the experiment period. We highlight a combined process of governance experiment, allowing social innovation at local and regional scales, and a more strategic tool for the state, governing and steering local coastal policy with new instruments. We shed light on a particular policy entrepreneur (a public organization dealing with coastal management) playing at the intersection of these two forms, and in the interplay of policy scales. Although the experiment contributed to the innovation of legal and economic instruments and produced policy feedbacks in local planning and governance, learning capacities of the multi-scale architecture are still moderate to make planned retreat a reality in the near future. The conclusion considers performative and interpretive effects of policy experiments as further research questions to explore.
C1 [Rocle, Nicolas; Salles, Denis] Irstea, UR ETBX, 50 Ave Verdun, F-33612 Cestas 2, France.
C3 INRAE
RP Rocle, N (corresponding author), Irstea, UR ETBX, 50 Ave Verdun, F-33612 Cestas 2, France.
EM nicolas.rocle@irstea.fr
OI ROCLE, Nicolas/0000-0003-0377-7520
FU Cluster of Excellence COTE (Programme of the French National Research
   Agency) [ANR-10-LABX-45]; Aquitaine Regional Council (PERMALA project)
   [201212004004]
FX For their helpful comments on earlier versions of this paper, the
   authors would like to thank the anonymous reviewers as well as the
   participants of the INOGOV workshop held in March 2015 at the Finnish
   Environment Institute in Helsinki, Finland. The study has been carried
   out as part of the Cluster of Excellence COTE (Programme of the French
   National Research Agency, ANR-10-LABX-45) and funded by the Aquitaine
   Regional Council (PERMALA project, Grant no 201212004004).
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   [Anonymous], 2010, From climate change to social change: Perspectives on science-policy interaction
   [Anonymous], 2011, Climate Governance at the Crossroads: Experimenting with a Global Response
   Armitage D., 2007, Adaptive co-management: collaboration, learning and multi-level governance
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Béal V, 2015, J ENVIRON POL PLAN, V17, P402, DOI 10.1080/1523908X.2014.965807
   Berard Y., 2011, CAHIERS CTR E DURKHE, V10, P1
   Bergeron H, 2013, REV FR SOCIOL, V54, P263, DOI 10.3917/rfs.542.0263
   Brunner Ronald., 2005, ADAPTIVE GOVERNANCE
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Cash DW, 2006, ECOL SOC, V11
   Celliers L, 2013, MAR POLICY, V39, P72, DOI 10.1016/j.marpol.2012.10.005
   Cloutier G, 2015, CLIM POLICY, V15, P458, DOI 10.1080/14693062.2014.937388
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Curato N, 2016, POLICY SCI, V49, P173, DOI 10.1007/s11077-015-9238-5
   DATAR, 2010, RAPP COMPL MIS OEUVR
   Epstein R., 2013, La renovation urbaine. Demolition-reconstruction de l'Etat
   European Union, 2004, LIV COAST ER EUR SED
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   GIP Littoral Aquitain, 2009, PLAN DEV DUR LITT AQ
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   Huitema D, 2010, ECOL SOC, V15
   Huitema D, 2009, ECOL SOC, V14
   Jordan A, 2014, GLOBAL ENVIRON CHANG, V29, P387, DOI 10.1016/j.gloenvcha.2014.09.005
   Jordan A, 2014, POLICY SCI, V47, P227, DOI 10.1007/s11077-014-9201-x
   Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725
   Keskitalo C., 2010, DEV ADAPTATION POLIC
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Laurent B, 2011, SCI ENG ETHICS, V17, P649, DOI 10.1007/s11948-011-9303-1
   MATE-UNEP, 2013, STRAT NAT GEST INT Z
   MEDDE, 2013, EV MI PARC PLAN NAT
   MEDDTL, 2011, PLAN NAT AD CHANG CL
   Mermet L., 2015, Environnement: la concertation apprivoisee, contestee, depassee ?
   Nair S, 2016, FUTURES, V76, P67, DOI 10.1016/j.futures.2015.02.008
   Nicholson-Cole S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P368
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Parker KellyA., 1996, ENV PRAGMATISM, P21
   Rocle N., 2015, NATURES SCI SOC, V3, P244, DOI [https://doi.org/10.1051/nss/2015046, DOI 10.1051/NSS/2015046]
   Sabel C., 2012, OXFORD HDB GOVERNANC
   Salles D., 2011, SAPIENS, V4, P1
   Sanderson I, 2002, PUBLIC ADMIN, V80, P1, DOI 10.1111/1467-9299.00292
   Schmidt VA, 2008, ANNU REV POLIT SCI, V11, P303, DOI 10.1146/annurev.polisci.11.060606.135342
   Schmidt VA, 2013, POLIT STUD-LONDON, V61, P2, DOI 10.1111/j.1467-9248.2012.00962.x
   Schmidt VA, 2010, EUR POLIT SCI REV, V2, P1, DOI 10.1017/S175577390999021X
   Shackley S, 1996, SCI TECHNOL HUM VAL, V21, P275, DOI 10.1177/016224399602100302
   SOGREAH, 2011, 1711979R1 SOGREAH GI
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/CL-2011-032, DOI 10.1163/CL-2011-032]
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Voss JP, 2011, ECOL SOC, V16
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 50
TC 19
Z9 19
U1 1
U2 37
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0032-2687
EI 1573-0891
J9 POLICY SCI
JI Policy Sci.
PD JUN
PY 2018
VL 51
IS 2
SI SI
BP 231
EP 247
DI 10.1007/s11077-017-9279-z
PG 17
WC Public Administration; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Public Administration; Social Sciences - Other Topics
GA GI5BY
UT WOS:000434387100005
DA 2025-01-10
ER

PT J
AU Carter, L
AF Carter, Lyn
TI He korowai o Matainaka / The cloak of Matainaka: Traditional ecological
   knowledge in climate change adaptation - Te Wai Pounamu, New Zealand
SO NEW ZEALAND JOURNAL OF ECOLOGY
LA English
DT Article
DE climate change adaptation; co-production of knowledge; freshwater
   fisheries; Matauraka Maori
AB In the New Zealand landscape, the mahika kai sites (resource gathering areas) are marked through place names, which act as central reference points (whai take) for a wider ecosystem catchment area and indicate changes over time. The traditional ecological knowledge, awakened through place names, informs and influences the way Maori realise cultural, social, environmental, and economic aspirations and practices (past and present). This paper will draw from a research project in Te Wai Pounamu (South Island), New Zealand that utilises traditional ecological knowledge (TEK) surrounding the place name, Matainaka, which indicate places where Kai Tahu (South Island Maori tribal group) gathered whitebait (inaka, Galaxias maculatus): an important fresh water species. A major focus of the research project is the knowledge around socio-cultural tipping points that will impact directly on the future cultural, social and economic sustainability within a specific catchment location, the Waikouaiti River. The river has spawning and fishing sites for the inaka mahika kai and comes under the mana whenua (recognised traditional authority) of the Maori tribal group, Kati Huirapa Runaka ki Puketeraki. Traditional ecological knowledge korero (speech) explains the importance of Matainaka and its contribution to the surrounding catchment area, and - in contemporary times - works alongside that of scientific knowledge. The project merged TEK and science to find ways to improve future planning and adaptation for habitat restoration and modification, and to lessen impacts on inaka spawning sites from the expected impacts of climate change.
C1 [Carter, Lyn] Kati Huirapa, Karitane, New Zealand.
   [Carter, Lyn] Univ Otago, Sch Maori Pacific & Indigenous Studies, Dunedin, New Zealand.
C3 University of Otago
RP Carter, L (corresponding author), Kati Huirapa, Karitane, New Zealand.; Carter, L (corresponding author), Univ Otago, Sch Maori Pacific & Indigenous Studies, Dunedin, New Zealand.
EM lynette.carter@otago.ac.nz
OI Carter, Lynette/0000-0002-2554-6312
CR [Anonymous], 2012, SACRED ECOLOGY
   Boillat S, 2013, ENVIRON MANAGE, V51, P663, DOI 10.1007/s00267-012-9969-4
   Carter L, 2018, INDIGENOUS PACIFIC A
   Carter L., 2004, ALTERNATIVE INT J IN, P7
   Davidson-Hunt IJ, 2013, ECOL SOC, V18, DOI 10.5751/ES-06001-180444
   Dunn N. R., 2017, CONSERVATION STATUS
   Eos Ecology, 2019, PROV TEMP IN SPAWN H
   Helander E., 1999, ACTA BOREAL, V16, P7, DOI DOI 10.1080/08003839908580495
   Hickford MJH, 2013, RESTOR ECOL, V21, P686, DOI 10.1111/rec.12008
   Hickford MJH, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024318
   Hickford MJH, 2011, OECOLOGIA, V166, P131, DOI 10.1007/s00442-010-1834-7
   Kahui V, 2019, NEW ZEAL J ECOL, V43, DOI 10.20417/nzjecol.43.28
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   McDOWALL R. M., 1965, NEW ZEAL J SCI, V8, P285
   McNamara KE, 2011, LOCAL ENVIRON, V16, P887, DOI 10.1080/13549839.2011.615304
   NIWA, 2016, CLIM VAR CHANG NGAI
   ORC, 2010, OT EST STAT ENV REP
   Prebble M., 2004, TO HIKOIA MAI HIKARO
   Ratana K, 2019, NEW ZEAL J ECOL, V43, DOI 10.20417/nzjecol.43.38
   Reihana K, 2019, NEW ZEAL J ECOL, V43, DOI 10.20417/nzjecol.43.31
   Riseth JÅ, 2011, POLAR REC, V47, P202, DOI 10.1017/S0032247410000434
   Ware F, 2018, ALTERNATIVE, V14, P45, DOI 10.1177/1177180117744810
   Williams JM, 2004, THESIS
NR 23
TC 3
Z9 3
U1 0
U2 24
PU NEW ZEALAND ECOL SOC
PI CHRISTCHURCH
PA PO BOX 25178, CHRISTCHURCH, NEW ZEALAND
SN 0110-6465
EI 1177-7788
J9 NEW ZEAL J ECOL
JI N. Z. J. Ecol.
PY 2019
VL 43
IS 3
SI SI
AR 3386
DI 10.20417/nzjecol.43.27
PG 8
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA JU5PC
UT WOS:000501726600008
OA gold
DA 2025-01-10
ER

PT J
AU Mesquita, PS
   Bursztyn, M
AF Mesquita, Patricia S.
   Bursztyn, Marcel
TI Integration of social protection and climate change adaptation in Brazil
SO BRITISH FOOD JOURNAL
LA English
DT Article
DE Climate change; Brazil; Food security; Semi-arid areas; Social
   protection
ID CHANGE IMPACTS; DROUGHT
AB Purpose - Social protection (SP) and climate change adaptation (CCA) are two subjects highly debated when discussing social vulnerabilities and food insecurity in rural areas of developing countries. Both fields address matters related to socioeconomic vulnerabilities and thus present opportunities for integration. However, many studies have stated the lack of interaction within the study areas. When dealing with CCA and SP in Brazil, the two offer an opportunity for integration since some SP programmes (such as food-based safety nets) can both affect adaptation and be impacted by expected changes in climate. Impacts from CC are projected to be extreme in the Brazilian semi-arid Northeast, a region where social programmes of assistance and aid are historically crucial during periods of drought. Thus, the purpose of this paper is to address the interaction of CCA and SP in a conceptual level on policies and programmes in Brazil.
   Design/methodology/approach - A desk review of government documents (policies, plans, decrees) related to food security, food-based programmes and CC.
   Findings - Based on the results the authors highlight the limited integration between CC and SP in Brazil and the potential for interaction in many of the programmes already in place.
   Originality/value - The authors attribute findings to the segmented governmental structure and the weak interaction between sectors, and the only recent discussion of linkages between CC and poverty, development and food insecurity. Discussion on the challenges and benefits of this interaction are provided in a context of CC in Brazil, still not very debated in the academic literature.
C1 [Mesquita, Patricia S.; Bursztyn, Marcel] Univ Brasilia, Ctr Sustainable Dev, Brasilia, DF, Brazil.
C3 Universidade de Brasilia
RP Mesquita, PS (corresponding author), Univ Brasilia, Ctr Sustainable Dev, Brasilia, DF, Brazil.
EM patriciasmesquita@gmail.com
RI Bursztyn, Marcel/F-9921-2012
FU Banco do Nordeste do Brasil (BNB); Rede CLIMA; CNPq scholarship; CAPES
   scholarship; Science Without Borders scholarship
FX Research supported by Banco do Nordeste do Brasil (BNB), Rede CLIMA, and
   CNPq, CAPES, and Science Without Borders scholarships. Field assistance
   provided by researchers of the Rede CLIMA-Regional Development team at
   the Center for Sustainable Development (UnB), and researchers of Leaders
   at the Federal University of Cariri.
CR [Anonymous], STERN REV
   [Anonymous], INT C SOC PROT SOC J
   [Anonymous], 2016, Paris Agreement, P1, DOI DOI 10.4314/JSDLP.V9I1.2
   [Anonymous], REC DEV ROL DES SOC
   [Anonymous], 2008, FAO Newsroom, P1
   [Anonymous], C SOC PROT POOR AFR
   [Anonymous], GEOGRAFIA FOME DILEM
   [Anonymous], STRUCTURED DEMAND SM
   [Anonymous], SOCIAL PROTECTION AN
   [Anonymous], ESTUDOS AVANCADOS
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], IFPRI POLICY BRIEF
   [Anonymous], RELATORIO 3 CENARIOS
   [Anonymous], IDS INT C SOC PROT S
   [Anonymous], CAN FOOD SECURITY FO
   [Anonymous], ADDRESSING UNDERNUTR
   [Anonymous], 1996, ROME DECLARATION WOR
   [Anonymous], 2015, SUSTAIN DEV GOALS
   [Anonymous], PROGRAMA BOLSA FAMIL
   [Anonymous], 2011, UNDP HUM RES SUST MD
   [Anonymous], WYE CIT GROUP STAT R
   Bates B.C., 2008, INTERGOVERNMENTAL PA
   CONAF, 2013, PROYECT ERR CON ISL, P1
   Davies M., 2009, IDS Working Papers, V2009, P01, DOI [10.1111/j.2040-0209.2009.003202.x, DOI 10.1111/J.2040-0209.2009.003202.X]
   Davies M, 2013, DEV POLICY REV, V31, P27, DOI 10.1111/j.1467-7679.2013.00600.x
   Devereux S, 2012, SEASONALITY, RURAL LIVELIHOODS AND DEVELOPMENT, P1
   Dulal HB, 2014, ENVIRON DEV, V10, P16, DOI 10.1016/j.envdev.2014.01.003
   Finan TJ, 2001, CLIMATE RES, V19, P97, DOI 10.3354/cr019097
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   HLPE, 2012, FOOD SEC CLIM CHANG, P1
   Kenny MaryLorena., 2002, Ethics, Place and Environment, V15, P123, DOI DOI 10.1080/1366879022000020194
   Krol MS, 2007, ENVIRON MODELL SOFTW, V22, P259, DOI 10.1016/j.envsoft.2005.07.022
   LIVINGSTONE I, 1989, DEV CHANGE, V20, P461, DOI 10.1111/j.1467-7660.1989.tb00355.x
   Marengo J.A., 2011, Recursos hidricos em regioes aridas e semiaridas, P1
   Parry M., 2009, CLIMATE CHANGE HUNGE, P1
   Paucar-Menacho LM, 2010, FOOD RES INT, V43, P1856, DOI 10.1016/j.foodres.2009.09.016
   Sumberg J, 2011, FOOD POLICY, V36, P341, DOI 10.1016/j.foodpol.2011.03.001
   Vermeulen S. J., 2010, 3 CCAFS
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   WHO, 2011, WHO TECH REP SER, V961, P1
NR 40
TC 10
Z9 10
U1 2
U2 22
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0007-070X
EI 1758-4108
J9 BRIT FOOD J
JI Br. Food J.
PY 2016
VL 118
IS 12
BP 3030
EP 3043
DI 10.1108/BFJ-02-2016-0082
PG 14
WC Agricultural Economics & Policy; Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Food Science & Technology
GA EG0AF
UT WOS:000390692100012
DA 2025-01-10
ER

PT J
AU Derbile, EK
   Kasei, RA
AF Derbile, Emmanuel Kanchebe
   Kasei, Raymond Abudu
TI Vulnerability of crop production to heavy precipitation in north-eastern
   Ghana
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Ghana; Agriculture; Food crops; Precipitation; Vulnerability;
   Productivity; Policy; Adaptation
ID SUB-SAHARAN AFRICA; CLIMATE
AB Purpose - The purpose of this paper is to analyze vulnerability of food crop production to heavy precipitation in north-eastern Ghana, specifically, the upper east region (UER) and the policy implications for adaptation. Heavy precipitation events are a common part of climatic variability; but little attention is given to its impact on livelihoods as compared to droughts in research and policy domains.
   Design/methodology/approach - This paper draws on both quantitative and qualitative research methods and data. Rainfall data are analyzed using the Standardized Precipitation Index (SPI). This is compared with quantitative analysis of crop yields and complemented by narratives of farmers from in-depth interviews and focus group discussions.
   Findings - The results show that heavy precipitation events often lead to low food crop productivity and this suggests that the latter is vulnerable to the former.
   Originality/value - Although some adaptation is occurring through a wide range of local measures, these are inadequate for eliminating vulnerability. Thus, additional policy measures are recommended for enhancing farmer adaptation, including: incorporating climate change adaptation policies, including adaptation to heavy precipitation into District Development Planning; building human resource capacity for effective implementation of climate change adaptation policies at district levels; improving market access to seed through improved market infrastructure and rural transportation; establishing Community Seed Banks (CSBs) as back up sources of seed; promoting "nursing and transplant" as an alternative planting method for millet and guinea corn; promoting low costs solar drying technologies for drying food crops; and supporting livelihood diversification through credit and business development services.
C1 [Derbile, Emmanuel Kanchebe] Univ Dev Studies, Planning & Management Dept, Fac Planning & Land Management, Navrongo, Ghana.
   [Kasei, Raymond Abudu] Univ Dev Studies, Dept Earth & Environm Sci, Fac Sci Appl, Navrongo, Ghana.
C3 University for Development Studies; University for Development Studies
RP Derbile, EK (corresponding author), Univ Dev Studies, Planning & Management Dept, Fac Planning & Land Management, Navrongo, Ghana.
EM uds@hotmail.com
CR Agyare W.A., 2008, INCREASING PRODUCTIV, P259
   [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 2008, Climate Change and Agriculture in Africa: Impact Assessment and Adaptation Strategies
   [Anonymous], 2006, HUMAN DEV REPORT 200
   [Anonymous], INTRO FRENCH NOBILIT
   [Anonymous], 2004, LIV RISK GLOB REV DI
   Barrett CB, 2002, NATURAL RESOURCES MANAGEMENT IN AFRICAN AGRICULTURE: UNDERSTANDING AND IMPROVING CURRENT PRACTICES, P287, DOI 10.1079/9780851995847.0287
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Beuchelt T., 2006, MAKING RURAL HOUSEHO, P45
   Bhole H.-G, 2002, ENV HUMAN SECURITY C, p3/1
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Blench R., 2006, WORKING PAPER BACKGR
   Buchenrieder G, 2006, MAKING RURAL HOUSEHO, P3
   Chambers R, 2006, IDS BULL-I DEV STUD, V37, P33, DOI 10.1111/j.1759-5436.2006.tb00284.x
   Collier P, 1999, J ECON PERSPECT, V13, P3, DOI 10.1257/jep.13.3.3
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Coulombe H., 2007, GHAN CEM M CHALL ACC
   Derbile E.K, 2010, THESIS RHEINISCHE FR
   Dixon J., 2001, FARMING SYSTEMS POVE
   Evenson R. E., 2003, P1, DOI 10.1079/9780851995496.0001
   Friesen J.C, 2008, THESIS RHEINISCHE FR
   Ghana Statistical Service, 2005, 2000 POP HOUS CENS
   GSS (Ghana Statistical Service), 2000, 2000 POP HOUS CENS
   Ingram KT, 2002, AGR SYST, V74, P331, DOI 10.1016/S0308-521X(02)00044-6
   Jones RN, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P145
   Kasei R, 2010, SUSTAIN SCI, V5, P89, DOI 10.1007/s11625-009-0101-5
   Kunstmann H, 2005, IAHS-AISH P, V295, P75
   Liu JG, 2008, GLOBAL PLANET CHANGE, V64, P222, DOI 10.1016/j.gloplacha.2008.09.007
   [McCarthy J.J. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 2001, Impacts, Adaptation and Vulnerability, A Contribution of the Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change
   Milly PCD, 2002, NATURE, V415, P514, DOI 10.1038/415514a
   Niasse M., 2004, REDUCING W AFRICAS V
   Paeth H, 2007, CLIMATIC CHANGE, V83, P401, DOI 10.1007/s10584-006-9235-y
   Page C.M., 2001, P MODSIM C CANB
   Parry M.L., 2007, TECHNICAL SUMMARY CL, P23
   Platt C, 2007, COMMUNICATION   1130
   RCC, 2008, REG DEV REV 2005 200
   Rockström J, 2000, CRIT REV PLANT SCI, V19, P319, DOI 10.1016/S0735-2689(00)80007-6
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Saaka Y, 2001, REGIONALISM PUBLIC P, P139
   Sankat C.K, 2006, SOLAR ASSISTED DRYIN, P229
   Songsore Jacob, 2001, REGIONALISM PUBLIC P, P207
   Twomlow S, 2008, PHYS CHEM EARTH, V33, P780, DOI 10.1016/j.pce.2008.06.048
   UNEP, 2010, IMPR WELF INCR INC G
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
NR 44
TC 13
Z9 15
U1 0
U2 38
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 2012
VL 4
IS 1
BP 36
EP 53
DI 10.1108/17568691211200209
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 916NY
UT WOS:000302111700003
DA 2025-01-10
ER

PT J
AU Sahli, A
   Mansouri, S
   Haouala, F
   Ltifi, A
AF Sahli, Anissa
   Mansouri, Sonia
   Haouala, Faouzi
   Ltifi, Ali
TI Use of nurse endosperm for the culture of haploid embryos produced by
   durum wheat x maize crosses
SO EMIRATES JOURNAL OF FOOD AND AGRICULTURE
LA English
DT Article
DE Durum wheat; Haploid embryo; Maize; Nurse Endosperm Technique;
   Polyembryony
ID TRITICUM-TURGIDUM L.; DOUBLED HAPLOIDS; ANTHER CULTURE; INDUCTION;
   HYBRIDIZATION; EMBRYOGENESIS; GENOTYPES
AB The use of doubled-haploids in plant breeding programs enables accelerating the release of new varieties adapted to climate change. The durum wheat x maize crosses technique is a method of choice for producing durum wheat haploid plants. The haploid embryos produced by this method develop without albumen and their survival is ensured by post-pollination hormonal treatments. In this study, nine post-pollination treatments with 2,4-Dichlorophenoxyacetic acid (2,4-D), Picloram and Dicamba at the concentrations of 10, 50 and 100 mg.L-1 were applied to 7 durum wheat genotypes. The effects of genotype and post-pollination treatment on durum wheat haploid embryos produced by durum wheat x maize crosses and the use of the endosperm nursing technique for haploid plantlets regeneration were investigated. The haploid induction parameters varied with the durum wheat genotypes as well as the post-pollination treatments. The phenomenon of polyembryony resulting from durum wheat x maize crosses is reported for the first time in this article. The durum wheat genotypes showed different abilities to produce monoembryo and polyembryos. The post-pollination treatments with 2,4-D (10 mg.L-1) and Picloram (10 and 100 mg.L-1) gave a higher embryo formation frequency than the treatments with Dicamba. The embryo conversion to plantlet was greatly improved, especially in recalcitrant genotypes using the durum wheat endosperm as supplemental nourishment in combination with the Gamborg B5 regeneration medium.
C1 [Sahli, Anissa; Ltifi, Ali] Univ Carthage, Natl Inst Agr Res Tunisia, Lab Biotechnol Appl Agr, Tunis 1004, Tunisia.
   [Mansouri, Sonia] Univ Carthage, Natl Inst Agr Res Tunisia, Field Crop Lab, Tunis 1004, Tunisia.
   [Haouala, Faouzi] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Sci, Dept Biol, Riyadh 11623, Saudi Arabia.
C3 Universite de Carthage; Universite de Carthage; Imam Mohammad Ibn Saud
   Islamic University (IMSIU)
RP Haouala, F (corresponding author), Imam Mohammad Ibn Saud Islamic Univ IMSIU, Coll Sci, Dept Biol, Riyadh 11623, Saudi Arabia.
EM fmhaouala@imamu.edu.sa
RI Haouala, Faouzi/HPE-4526-2023
CR Almouslem AB, 1998, CROP SCI, V38, P1080, DOI 10.2135/cropsci1998.0011183X003800040033x
   Aydin M, 2016, BIOTECHNOL BIOTEC EQ, V30, P1082, DOI 10.1080/13102818.2016.1224980
   BAINS NS, 1995, CURR SCI INDIA, V69, P621
   Bokore FE, 2017, CAN J PLANT SCI, V97, P65, DOI 10.1139/cjps-2016-0066
   Bouatrous Y., 2010, American-Eurasian Journal of Agricultural and Environmental Science, V7, P512
   Campbell AW, 2000, NEW ZEAL J CROP HORT, V28, P185, DOI 10.1080/01140671.2000.9514138
   Chaudhary HK, 2015, CZECH J GENET PLANT, V51, P142, DOI 10.17221/218/2014-CJGPB
   Cherkaoui S, 2000, PLANT BREEDING, V119, P31, DOI 10.1046/j.1439-0523.2000.00433.x
   Chlyah Omar, 1999, Cahiers Agricultures, V8, P330
   Cistué L, 2009, PLANT CELL REP, V28, P727, DOI 10.1007/s00299-009-0690-6
   Cornish GB, 2001, AUST J AGR RES, V52, P1339, DOI 10.1071/AR01060
   Devaux P, 2021, METHODS MOL BIOL, V2287, P267, DOI 10.1007/978-1-0716-1315-3_14
   Falak I, 1999, EUPHYTICA, V107, P185, DOI 10.1023/A:1003696330951
   GAMBORG OL, 1968, EXP CELL RES, V50, P151, DOI 10.1016/0014-4827(68)90403-5
   García-llamas C, 2004, PLANT CELL REP, V23, P46, DOI 10.1007/s00299-004-0786-y
   He Y, 2010, J EXP BOT, V61, P1567, DOI 10.1093/jxb/erq035
   Holme IB, 1999, PLANT BREEDING, V118, P111, DOI 10.1046/j.1439-0523.1999.118002111.x
   Jauhar P. P., 2003, DOUBLED HAPLOID PROD, P161
   Jauhar PP, 2009, CROP SCI, V49, P737, DOI 10.2135/cropsci2008.08.0462
   Khan M. S. H., 2004, Bangladesh J. Plant Breed. Genet., V17, P1
   KISANA NS, 1993, PLANT BREEDING, V110, P96, DOI 10.1111/j.1439-0523.1993.tb01219.x
   Knox RE, 2000, PLANT BREEDING, V119, P289, DOI 10.1046/j.1439-0523.2000.00498.x
   Kruse A., 1974, Hereditas, V73, P157
   Lazaridou T, 2016, ACTA BIOL CRACOV BOT, V58, P95, DOI 10.1515/abcsb-2016-0006
   Linacero R, 1996, EUPHYTICA, V89, P345
   Ltifi A, 2018, INT J AGRIC BIOL, V20, P1833, DOI 10.17957/IJAB/15.0710
   Mahato A, 2015, PLANT BREEDING, V134, P379, DOI 10.1111/pbr.12288
   Martins-Lopes PF, 2001, EUPHYTICA, V121, P265, DOI 10.1023/A:1012091610195
   MSTAT-C, 1990, A Microcomputer Program for the Design Management and Analysis of Agronomic Research Experiments
   Niroula R. K., 2009, Am. Eurasian J. Agron., V2, P156
   Niroula R.K., 2007, Himal. J. Sci, V4, P65, DOI [10.3126/hjs.v4i6.984, DOI 10.3126/HJS.V4I6.984]
   Sadasivaiah RS, 1999, CEREAL RES COMMUN, V27, P33
   Savaskan C, 1997, PLANT BREEDING, V116, P299, DOI 10.1111/j.1439-0523.1997.tb01002.x
   SCHAEFFER GW, 1979, CROP SCI, V19, P697, DOI 10.2135/cropsci1979.0011183X001900050038x
   Slama-Ayed O., 2010, Journal of Plant Breeding and Crop Science, V2, P30
   Tuvesson S, 2000, PLANT BREEDING, V119, P455, DOI 10.1046/j.1439-0523.2000.00536.x
   Ushiyama T, 2007, PLANT PROD SCI, V10, P36, DOI 10.1626/pps.10.36
   Verma V, 1999, CROP SCI, V39, P1722, DOI 10.2135/cropsci1999.3961722x
   Wedzony M, 1998, PLANT BREEDING, V117, P211, DOI 10.1111/j.1439-0523.1998.tb01928.x
   WILLIAMS EG, 1980, NEW ZEAL J BOT, V18, P215, DOI 10.1080/0028825X.1980.10426920
   Williams W. M., 1983, P 14 INT CRASSLAND C, P15
   Yan GJ, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01786
   Zhang J, 1996, EUPHYTICA, V90, P315, DOI 10.1007/BF00027482
   Zimny J, 2019, ACTA BIOL CRACOV BOT, V61, P41, DOI 10.24425/abcsb.2019.127735
NR 44
TC 0
Z9 0
U1 2
U2 5
PU UNITED ARAB EMIRATES UNIV
PI AL AIN
PA P. O. BOX 17551, AL AIN, U ARAB EMIRATES
SN 2079-052X
EI 2079-0538
J9 EMIR J FOOD AGR
JI Emir. J. Food Agric.
PD NOV
PY 2023
VL 35
IS 11
BP 1004
EP 1010
DI 10.9755/ejfa.2023.v35.i11.3151
PG 7
WC Agronomy; Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Food Science & Technology
GA CK9E1
UT WOS:001125255400003
DA 2025-01-10
ER

PT J
AU Quandt, A
   Grafton, D
   Gorman, K
   Dawson, PM
   Ibarra, C
   Mayes, E
   Monteverde, C
   Piel, D
   Paderes, P
AF Quandt, Amy
   Grafton, Daniel
   Gorman, Kayla
   Dawson, Paige M.
   Ibarra, Celina
   Mayes, Elizabeth
   Monteverde, Corrie
   Piel, Daniel
   Paderes, Phevee
TI Mitigation and adaptation to climate change in San Diego County,
   California
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Mitigation; San Diego; California; Climate
   policy
ID PLANS
AB The latest IPCC report states that it is unequivocally clear that human actions are the most prominent cause of present day global warming and climate change. While alarming, this news has mobilized nations, cities, and communities across the world to engage in an array of mitigation and adaptation activities. Our research focuses on San Diego County, CA, USA, to answer two major questions regarding mitigation and adaptation measures being taken in the region: (1) What climate change mitigation and adaptation activities have taken place, are underway, and are planned for the future in San Diego County? (2) How successful and effective have these activities been at meeting their objectives to mitigate climate change or adapt to the impacts of climate change? Through a mixed-methods online survey, we gathered responses from 28 climate change experts throughout San Diego County to ensure a cross-sectoral perspective of the actions being taken. Results document 39 different mitigation and/or adaptation activities taking place in San Diego County. Notably, the majority of activities were reported to be effective at meeting their mitigation and/or adaptation objectives and to be of high priority. However, the effectiveness of projects was not uniform across sectors, and respondents also highlighted challenges and areas for improvement. Based on our results, we provide three key recommendations: (1) improve communication and coordination across sectors, (2) ensure that adaptation activities are also a priority alongside mitigation, and (3) include environmental and climate justice issues in mitigation and adaptation activities.
C1 [Quandt, Amy; Grafton, Daniel; Gorman, Kayla; Ibarra, Celina; Mayes, Elizabeth; Monteverde, Corrie; Paderes, Phevee] San Diego State Univ, Dept Geog, 5500 Campanile Dr, San Diego, CA 92182 USA.
   [Dawson, Paige M.; Piel, Daniel] San Diego State Univ, Dept Anthropol, 5500 Campanile Dr, San Diego, CA 92181 USA.
C3 California State University System; San Diego State University;
   California State University System; San Diego State University
RP Quandt, A (corresponding author), San Diego State Univ, Dept Geog, 5500 Campanile Dr, San Diego, CA 92182 USA.
EM aquandt@sdsu.edu; dgrafton6130@sdsu.edu; kgorman9027@sdsu.edu;
   pdawson0259@sdsu.edu; cibarra8319@sdsu.edu; emayes3946@sdsu.edu;
   cmonteverde@sdsu.edu; dpiel@sdsu.edu; ppaderes1421@sdsu.edu
RI Dawson, Paige/LLM-6425-2024; Quandt, Amy/AAP-1716-2021
OI Grafton, Daniel/0000-0002-1152-8025; Quandt, Amy/0000-0001-7434-1500
FU Department of Geography, Department of Anthropology; Geography 770:
   Human Dimensions of Climate Change course at San Diego State University
FX We would like to thank all of our research participants, whose insights,
   experiences, and perspectives made this study possible. We would also
   like to thank the Department of Geography, Department of Anthropology,
   and the Geography 770: Human Dimensions of Climate Change course at San
   Diego State University for supporting this collaborative research
   project.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2015, CLIMATE ACTION PLAN
   [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], 2015, 2050 SD
   Bandura A, 2020, AM PSYCHOL, V75, P945, DOI 10.1037/amp0000512
   Bernard HR., 2002, Research Methods in Anthropology: Qualitative and Quantitative Approaches, V3rd
   Binns D, 2021, COMPREHENSIVE CONSER
   Cho R., 2020, State of the Planet
   City of San Diego, 2019, CLIMATE RESILIENT SA
   City of San Diego, 2020, CLIMATE ACTION PLAN
   City of San Diego, 2011, ENV EC SUSTAINABILIT
   City of San Diego, 2015, FOOD LAND USE CLIMAT
   County of San Diego, 2021, 2020 CROP STAT ANN R
   Damso T, 2016, ENERG POLICY, V89, P74, DOI 10.1016/j.enpol.2015.11.013
   Dialesandro J, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18030941
   Gloria T, 2020, SD SUSTAINABILITY
   Hoppe T, 2014, ENERGY SUSTAIN SOC, V4, DOI 10.1186/2192-0567-4-8
   ICLEI, 2017, SAN DIEG REG COAST R
   ICLEI, 2012, SEA LEV RIS AD STRAT
   James V, 2020, POLICY Q, V16, P62
   Jennings S, 1996, BIOL CONSERV, V75, P201, DOI 10.1016/0006-3207(95)00081-X
   Kaenel C, 2021, JAC SOL PROJ WINS SA
   Kalansky Julie, 2018, PUBLICATION
   Lindseth G., 2004, Local Environ, V9, P325, DOI DOI 10.1080/1354983042000246252
   Masson-Delmotte Y, 2021, CLIMATE CHANGE 2021
   Master Gardener Association of San Diego, 2021, COMM GARD
   Mesa College Associated Students, 2021, RES DIV FOSS FUELS
   Monteverde C, 2020, ADV CLIM CHANG RES, V11, P279, DOI 10.1016/j.accre.2020.08.002
   Myers MR, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104921
   Nargi L, 2018, CIVIL EATS 1024
   Nikolewski R, 2020, SAN DIEGO UNION TRIB
   Port of San Diego, 2021, NATIVE OYSTER LIVING
   Rao P, 2017, INT J EDUC MANAG, V31, P1000, DOI 10.1108/IJEM-01-2016-0001
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Rife AN, 2013, CONSERV LETT, V6, P200, DOI 10.1111/j.1755-263X.2012.00303.x
   Robinson M, 2018, NAT CLIM CHANGE, V8, P564, DOI 10.1038/s41558-018-0189-7
   Salvia M, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110253
   San Diego Community College District (SDCCA), 2021, DISTR
   San Diego Community College District (SDCCD), 2017, 2017 2021 STRAT PLAN
   San Diego Community College District (SDCCD) Board of Trustees, 2019, ADDR CLIM LIT ED IN
   San Diego Community Garden Network, 2021, SAN DIEG COMM GARD N
   San Diego County, 2021, SAN DIEGO COUNTY CAL
   San Diego County, 2018, CLIMATE ACTION PLAN
   San Diego County, 2021, NAT CONSERV
   San Diego Parks and Recreation, 2021, ENV ED
   Sandag, 2011, 2050 REG TRANSP PLAN
   Sandag, 2021, TRANSP PROGR PROJ
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   SDG&E (San Diego Gas and Electric), 2016, ADD EN STOR EN EFF P
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Shi L, 2019, ENVIRON SCI POLICY, V92, P262, DOI 10.1016/j.envsci.2018.11.002
   Street R.B., 2016, Climate Services, V1, P2, DOI [DOI 10.1016/J.CLISER.2015.12.001, 10.1016/j.cliser.2015.12, DOI 10.1016/J.CLISER.2015.12]
   Stults M, 2017, MITIG ADAPT STRAT GL, V22, P1249, DOI 10.1007/s11027-016-9725-9
   Sullivan-Brennan D, 2021, SAN DIEGO UNION TRIB
   True North Research, 2018, PARK RID COMM SURV S
   UCSD Water Economics, 2017, SAN DIEG WAT CRIS CA
   United Nations, 2018, WORLD URB PROSP 11 R
   Williams J, 2018, START HERE START NOW
NR 58
TC 2
Z9 2
U1 4
U2 53
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD JAN
PY 2023
VL 28
IS 1
AR 7
DI 10.1007/s11027-022-10041-6
PG 28
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 7B9ZK
UT WOS:000899482700002
DA 2025-01-10
ER

PT J
AU Tian, ZY
   Ma, C
   Zhao, CC
   Zhang, Y
   Gao, XY
   Tian, ZQ
   Chen, HS
   Guo, JY
   Zhou, ZS
AF Tian, Zhenya
   Ma, Chao
   Zhao, Chenchen
   Zhang, Yan
   Gao, Xuyuan
   Tian, Zhenqi
   Chen, Hongsong
   Guo, Jianying
   Zhou, Zhongshi
TI Heat wave event facilitates defensive responses in invasive C3 plant
   <i>Ambrosia artemisiifolia</i> L. under elevated CO<sub>2</sub>
   concentration to the detriment of <i>Ophraella communa</i>
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE common ragweed; invasive plant; biological invasions; climate change;
   secondary metabolite; herbivore; Ophraella communa
ID INSECT HERBIVORE INTERACTIONS; CARBON-DIOXIDE; SECONDARY METABOLITES;
   CO2-MEDIATED CHANGES; AIR-TEMPERATURE; ATMOSPHERIC CO2; EXTREME EVENTS;
   RISING CO2; RESISTANCE; GROWTH
AB To predict and mitigate the effects of climate change on communities and ecosystems, the joint effects of extreme climatic events on species interactions need to be understood. Using the common ragweed (Ambrosia artemisiifolia L.)-leaf beetle (Ophraella communa) system, we investigated the effects of heat wave and elevated CO2 on common ragweed growth, secondary metabolism, and the consequent impacts on the beetle. The results showed that elevated CO2 and heat wave facilitated A. artemisiifolia growth; further, A. artemisiifolia accumulated large amounts of defensive secondary metabolites. Being fed on A. artemisiifolia grown under elevated CO2 and heat wave conditions resulted in the poor performance of O. communa (high mortality, long development period, and low reproduction). Overall, under elevated CO2, heat wave improved the defensive ability of A. artemisiifolia against herbivores. On the other hand, enhanced adaptability to climatic changes may aggravate invasive plant distribution, posing a challenge to the control of invasive plants in the future.
   Key message Being fed on A. artemisiifolia grown under elevated CO2 and heat wave conditions resulted in the poor performance of O. communa (high mortality, long development period, and low reproduction). Elevated CO2 and heat waves resulted in the accumulation of secondary metabolites in A. artemisiifolia. After feeding on the secondary metabolites accumulated by A. artemisiifolia, the mortality of O. communa increased.
C1 [Tian, Zhenya; Ma, Chao; Zhao, Chenchen; Zhang, Yan; Gao, Xuyuan; Tian, Zhenqi; Chen, Hongsong; Guo, Jianying; Zhou, Zhongshi] Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing, Peoples R China.
   [Tian, Zhenya; Ma, Chao; Zhao, Chenchen; Zhang, Yan; Gao, Xuyuan; Tian, Zhenqi; Chen, Hongsong; Zhou, Zhongshi] Chinese Acad Agr Sci, Natl Nanfan Res Inst, Sanya, Peoples R China.
   [Zhao, Chenchen] Henan Agr Univ, Coll Plant Protect, Zhengzhou, Peoples R China.
   [Gao, Xuyuan; Chen, Hongsong] Guangxi Acad Agr Sci, Inst Plant Protect, Guangxi Key Lab Biol Crop Dis & Insect Pests, Nanning, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Plant Protection,
   CAAS; Chinese Academy of Agricultural Sciences; Henan Agricultural
   University; Guangxi Academy of Agricultural Sciences
RP Zhou, ZS (corresponding author), Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing, Peoples R China.; Zhou, ZS (corresponding author), Chinese Acad Agr Sci, Natl Nanfan Res Inst, Sanya, Peoples R China.
EM zhouzhongshi@caas.cn
RI Zhenya, Tian/IXX-1991-2023
OI Zhenya, Tian/0000-0001-8346-2857
FU National Natural Science Foundation of China;  [32172494];  [31672089]
FX Funding This work was supported by the National Natural Science
   Foundation of China (32172494 and 31672089).
CR Aebi H, 1984, Methods Enzymol, V105, P121
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   [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
   Bauweraerts I, 2014, AGR FOREST METEOROL, V189, P19, DOI 10.1016/j.agrformet.2014.01.001
   BRYANT JP, 1983, OIKOS, V40, P357, DOI 10.2307/3544308
   Buse A, 1998, FUNCT ECOL, V12, P742, DOI 10.1046/j.1365-2435.1998.00243.x
   Canals D, 2005, FEBS J, V272, P4817, DOI 10.1111/j.1742-4658.2005.04897.x
   Chen FJ, 2005, ENVIRON ENTOMOL, V34, P37, DOI 10.1603/0046-225X-34.1.37
   Chen W, 2013, MOL PLANT, V6, P1769, DOI 10.1093/mp/sst080
   CHI H, 1988, ENVIRON ENTOMOL, V17, P26, DOI 10.1093/ee/17.1.26
   Chi H, 2014, Age-stage, two-sex life table: Theory, data analysis, and application
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   Combes C, 2008, CR GEOSCI, V340, P591, DOI 10.1016/j.crte.2008.01.003
   Cowbrough MJ, 2003, WEED SCI, V51, P947, DOI 10.1614/02-036
   Curtis PS, 1998, OECOLOGIA, V113, P299, DOI 10.1007/s004420050381
   Diez JM, 2012, FRONT ECOL ENVIRON, V10, P249, DOI 10.1890/110137
   Drake BL, 2017, GLOBAL CHANGE BIOL, V23, P782, DOI 10.1111/gcb.13449
   El Kelish A, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-176
   ELLMAN GL, 1961, BIOCHEM PHARMACOL, V7, P88, DOI 10.1016/0006-2952(61)90145-9
   FAJER ED, 1989, OECOLOGIA, V81, P514, DOI 10.1007/BF00378962
   García-Herrera R, 2010, CRIT REV ENV SCI TEC, V40, P267, DOI 10.1080/10643380802238137
   Gutschick VP, 2003, NEW PHYTOL, V160, P21, DOI 10.1046/j.1469-8137.2003.00866.x
   HERMS DA, 1992, Q REV BIOL, V67, P283, DOI 10.1086/417659
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Ibrahim MH, 2012, MOLECULES, V17, P5195, DOI 10.3390/molecules17055195
   Inderjit, 1996, BOT REV, V62, P186, DOI 10.1007/BF02857921
   Jamieson MA, 2015, GLOBAL CHANGE BIOL, V21, P2698, DOI 10.1111/gcb.12842
   Jeong Heon-Mo, 2018, Journal of Ecology and Environment, V42, P1, DOI 10.1186/s41610-017-0061-0
   Jia X, 2014, ENVIRON EXP BOT, V107, P134, DOI 10.1016/j.envexpbot.2014.06.005
   Johns CV, 2003, ENTOMOL EXP APPL, V108, P169, DOI 10.1046/j.1570-7458.2003.00076.x
   Johns CV, 2002, GLOBAL CHANGE BIOL, V8, P142, DOI 10.1046/j.1365-2486.2002.00462.x
   Kandil MA, 2017, CROP PROT, V94, P173, DOI 10.1016/j.cropro.2016.12.020
   Kanerva S, 2008, EUR J SOIL BIOL, V44, P1, DOI 10.1016/j.ejsobi.2007.08.001
   Karowe DN, 2007, GLOBAL CHANGE BIOL, V13, P2045, DOI 10.1111/j.1365-2486.2007.01422.x
   Körner C, 2000, ECOL APPL, V10, P1590, DOI 10.2307/2641226
   Lee YH, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0241081
   LINCOLN DE, 1993, TRENDS ECOL EVOL, V8, P64, DOI 10.1016/0169-5347(93)90161-H
   Lindroth RL, 1997, GLOBAL CHANGE BIOL, V3, P279, DOI 10.1046/j.1365-2486.1997.00077.x
   MARKLUND S, 1974, European Journal of Biochemistry, V47, P469, DOI 10.1111/j.1432-1033.1974.tb03714.x
   Masson-Delmotte V., 2021, Climate change 2021: The physical science basis, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896.002, DOI 10.1017/9781009157896.002]
   Mikkelsen BL, 2015, PHYTOCHEMISTRY, V118, P162, DOI 10.1016/j.phytochem.2015.07.007
   Obermeier WA, 2017, NAT CLIM CHANGE, V7, P137, DOI [10.1038/nclimate3191, 10.1038/NCLIMATE3191]
   Poorter H, 1997, PLANT CELL ENVIRON, V20, P472, DOI 10.1046/j.1365-3040.1997.d01-84.x
   Rausher MD, 2001, NATURE, V411, P857, DOI 10.1038/35081193
   Rogers CA, 2006, ENVIRON HEALTH PERSP, V114, P865, DOI 10.1289/ehp.8549
   ROGERS HH, 1983, SCIENCE, V220, P428, DOI 10.1126/science.220.4595.428
   Rouault G, 2006, ANN FOREST SCI, V63, P613, DOI 10.1051/forest:2006044
   Schädler M, 2007, GLOBAL CHANGE BIOL, V13, P1005, DOI 10.1111/j.1365-2486.2007.01319.x
   Schaffner U, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15586-1
   SCHOONHOVEN LM, 1978, ENTOMOL EXP APPL, V24, P689, DOI 10.1007/BF02385125
   Seo E, 2019, CLIM DYNAM, V52, P1695, DOI 10.1007/s00382-018-4221-4
   Skinner CB, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03472-w
   Specht JE, 2014, CSSA SPEC PUBL, V33, P311, DOI 10.2135/cssaspecpub33.c12
   Stiling P, 2007, GLOBAL CHANGE BIOL, V13, P1823, DOI 10.1111/j.1365-2486.2007.01392.x
   Stinson KA, 2006, OECOLOGIA, V147, P155, DOI 10.1007/s00442-005-0250-x
   Stinson KA, 2006, GLOBAL CHANGE BIOL, V12, P1680, DOI 10.1111/j.1365-2486.2006.01229.x
   Stipanovic RD, 2006, J CHEM ECOL, V32, P959, DOI 10.1007/s10886-006-9052-9
   Sun Y, 2020, GLOBAL CHANGE BIOL, V26, P6511, DOI 10.1111/gcb.15291
   Sun YC, 2018, NEW PHYTOL, V217, P1696, DOI 10.1111/nph.14892
   Tong HY, 2017, SCI REP-UK, V7, DOI 10.1038/srep40118
   Traw MB, 1996, OECOLOGIA, V108, P113, DOI 10.1007/BF00333222
   Tripathee R., 2008, THESIS U TOLEDO
   Veteli TO, 2007, J CHEM ECOL, V33, P287, DOI 10.1007/s10886-006-9235-4
   Veteli TO, 2003, OECOLOGIA, V137, P312, DOI 10.1007/s00442-003-1298-0
   Veteli TO, 2002, GLOBAL CHANGE BIOL, V8, P1240, DOI 10.1046/j.1365-2486.2002.00553.x
   Vinagre C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192700
   Visweshwar R, 2015, APPL BIOCHEM BIOTECH, V177, P1621, DOI 10.1007/s12010-015-1841-6
   Walther GR, 2009, TRENDS ECOL EVOL, V24, P686, DOI 10.1016/j.tree.2009.06.008
   Wayne P, 2002, ANN ALLERG ASTHMA IM, V88, P279, DOI 10.1016/S1081-1206(10)62009-1
   Williams RS, 2000, GLOBAL CHANGE BIOL, V6, P685, DOI 10.1046/j.1365-2486.2000.00343.x
   WMO, 2018, WMO GREENH GAS B STA
   WONG SC, 1979, OECOLOGIA, V44, P68, DOI 10.1007/BF00346400
   Zhao YH, 2016, SCI TOTAL ENVIRON, V565, P586, DOI 10.1016/j.scitotenv.2016.05.058
   Zhou ZS, 2010, ENVIRON ENTOMOL, V39, P1021, DOI 10.1603/EN09176
   Ziska LH, 2000, AUST J PLANT PHYSIOL, V27, P893
   Zvereva EL, 2006, GLOBAL CHANGE BIOL, V12, P27, DOI 10.1111/j.1365-2486.2005.01086.x
NR 76
TC 5
Z9 5
U1 1
U2 36
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 27
PY 2022
VL 13
AR 907764
DI 10.3389/fpls.2022.907764
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 3R0UL
UT WOS:000838635700001
PM 35968104
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Hunter, NB
   Roberts, DC
   Sutherland, C
   Slotow, R
AF Hunter, N. B.
   Roberts, D. C.
   Sutherland, C.
   Slotow, R.
TI Co-creation between cities and climate change science achieves research
   and action agenda
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE IPCC; Participatory research; Policymakers; Practitioners;
   Sustainability science; Transdisciplinary
ID TRANSDISCIPLINARY RESEARCH; PRACTITIONERS; FRAMEWORK; IPCC; GOAL
AB Cities amplify the risks from climate change and advance opportunities to address them. Scientific research offers an evidence-based approach to understanding challenges, and possible responses available to local decision makers as they manage the interface between climate change and urban environments. In March 2018, academics, practitioners and policymakers convened at the Cities and Climate Change Science Conference in Edmonton, Canada to develop an understanding of the science needed to support cities as they mitigate and adapt to climate change. This paper evaluates the process and central output of the conference, to determine how effective the transdisciplinary stakeholders were in using the conference as a platform to explore knowledge on the relationship between cities and climate change science. The paper deploys a sustainability scientific framework centred around the theme of transdisciplinarity to analyse conference documentation and interviews with academic/research, practitioner and policymaker conference organisers. Structural arrangements, power differentials, and assumptions about the prioritisation of scientific knowledge, meant that transdisciplinarity was not always achieved. Yet while the academic voice was dominant, diverse conversations were still held, as seen in the inclusion of and recognition given to the Global South issue of urban informality in the main conference output - a Global Research and Action Agenda for Cities and Climate Change Science. Through applying a framework to evaluate participatory research for sustainability, recounting some of the learnings from this methodological approach, and suggesting how the framework could be amended for future application this paper contributes towards the knowledge on evaluation of sustainability research.
C1 [Hunter, N. B.; Roberts, D. C.; Slotow, R.] Univ KwaZulu Natal, Sch Life Sci, Durban, South Africa.
   [Roberts, D. C.] EThekwini Municipal, Sustainable & Resilient City Initiat Unit, Durban, South Africa.
   [Sutherland, C.] Univ KwaZulu Natal, Sch Built Environm & Dev Studies, Durban, South Africa.
   [Slotow, R.] UCL, Dept Genet Evolut & Environm, London, England.
   [Hunter, N. B.] Private Bag X54001, ZA-4000 Durban, South Africa.
C3 University of Kwazulu Natal; University of Kwazulu Natal; University of
   London; University College London
RP Hunter, NB (corresponding author), Private Bag X54001, ZA-4000 Durban, South Africa.
EM HunterN@ukzn.ac.za; debra.roberts@durban.gov.za; Sutherlandc@ukzn.ac.za;
   Slotow@ukzn.ac.za
RI Slotow, Rob/AAM-9053-2020
OI Hunter, Nina B/0000-0001-6361-7110
FU UKZN
FX We would like to thank Marlies Craig, Michelle North, and Andrew Okem
   for their contribution in reviewing the ethics proposal and interview
   schedule, and Michelle North for ideas for graphics. We also thank
   Belinda Reyers, Brenna Walsh, Julie Greenwalt and anonymous reviewers
   for their comments and suggestions. We are grateful to the interviewees
   for taking the time to answer our questions, as well as to the
   University of KwaZulu-Natal (UKZN) Humanities and Social Sciences
   Research Ethics Committee for their input on, and approval of, the
   proposal. NH was supported by a post-doctoral scholarship from UKZN.
CR [Anonymous], 2009, INT ENCY CIVIL SOC
   [Anonymous], CONTRIBUTION WORKING
   [Anonymous], Climate Action
   Bartunek JM, 2014, J MANAGE, V40, P1181, DOI 10.1177/0149206314529160
   Beck S, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.547
   Blackstock KL, 2007, ECOL ECON, V60, P726, DOI 10.1016/j.ecolecon.2006.05.014
   Börner K, 2010, SCI TRANSL MED, V2, DOI 10.1126/scitranslmed.3001399
   Bouman T., 2022, Urbanisation, V7, pS26, DOI [10.1177/2455747120965197, DOI 10.1177/2455747120965197]
   C40 Cities, 2017, EDM HOST 2018 CIT CL
   Callaghan MW, 2020, NAT CLIM CHANGE, V10, P118, DOI 10.1038/s41558-019-0684-5
   Campbell S, 2020, J RES NURS, V25, P652, DOI 10.1177/1744987120927206
   Cartwright A., 2012, MITIGATION ADAPTATIO, V1, DOI [10.4324/9780203112656, DOI 10.4324/9780203112656]
   Cities IPCC, 2017, 2018 CIT CLIM CHANG
   Co-Chairs of the Scientific Steering Committee, 2018, INT C CLIMATE CHANGE
   Cockburn J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08109-210128
   Colgan JD, 2021, INT ORGAN, V75, P586, DOI 10.1017/S0020818320000296
   Davids R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212427
   Devès MH, 2017, ENVIRON SCI POLICY, V78, P142, DOI 10.1016/j.envsci.2017.10.001
   Doberneck D.M., 2017, Journal of Higher Education Outreach and Engagement, V21, P78
   Future Earth, 2019, GLOB RES ACT AG CIT
   Gordon IJ, 2014, ANIM CONSERV, V17, P1, DOI 10.1111/acv.12097
   Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002
   Harris F, 2013, ENVIRON SCI POLICY, V31, P109, DOI 10.1016/j.envsci.2013.02.006
   Howarth Candice, 2017, Climate Services, V5, P3, DOI 10.1016/j.cliser.2017.04.003
   Hughes H, 2015, GLOBAL ENVIRON POLIT, V15, P85, DOI 10.1162/GLEP_a_00323
   Hughes HR, 2017, REV POLICY RES, V34, P744, DOI 10.1111/ropr.12255
   *IPCC, 2016, 44 SESS IPCC 17 20 O
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jones S, 2019, REG STUD, V53, P146, DOI 10.1080/00343404.2018.1463517
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kelly G. J., 2007, Australasian Journal of Environmental Management, V14, P231
   Klein JT, 2008, AM J PREV MED, V35, pS116, DOI 10.1016/j.amepre.2008.05.010
   Klopp JM, 2017, CITIES, V63, P92, DOI 10.1016/j.cities.2016.12.019
   Knapp CN, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11184899
   Kurian P., 2019, GLOBAL RES ACTION AG
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Li PeterPing., 2012, Journal of Trust Research. vol, V2, P71, DOI [https://doi.org/10.1080/21515581.2012.659937, DOI 10.1080/21515581.2012.659937]
   Lwasa S., 2022, Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Marion R, 2016, LEADERSHIP QUART, V27, P242, DOI 10.1016/j.leaqua.2016.01.003
   Masson-Delmotte V., 2018, Global warming of 1.5C, P1
   Morrison-Smith S, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-2801-5
   O'Grady C, 2021, SCIENCE, V374, P920, DOI 10.1126/science.acx9654
   Paterson M, 2022, GLOBAL ENVIRON POLIT, V22, P1, DOI 10.1162/glep_a_00647
   Plummer R, 2022, SUSTAIN SCI, V17, P955, DOI 10.1007/s11625-021-01074-y
   Pohl C., 2008, Natures Sciences Societes, V16, P111, DOI DOI 10.1051/NSS:2008035
   Pohl C, 2019, STRATEGIES FOR TEAM SCIENCE SUCCESS: HANDBOOK OF EVIDENCE-BASED PRINCIPLES FOR CROSS-DISCIPLINARY SCIENCE AND PRACTICAL LESSONS LEARNED FROM HEALTH RESEARCHERS, P115, DOI 10.1007/978-3-030-20992-6_8
   Polk M, 2015, FUTURES, V65, P110, DOI 10.1016/j.futures.2014.11.001
   Posner PL, 2009, PUBLIC BUDG FINANC, V29, P12, DOI 10.1111/j.1540-5850.2009.00921.x
   Revi A., 2014, Urban Areas
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Schipper E.L.F., 2022, CONTRIBUTION WORKING
   Siemens L., 2011, Digital Studies/Le champ numerique, V2
   Solecki W, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00015-z
   Stokols Daniel, 2003, Nicotine Tob Res, V5 Suppl 1, pS21
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor Chantal, 2016, Bothalia (Online), V46, P1
   Tengö M, 2022, AMBIO, V51, P25, DOI 10.1007/s13280-020-01492-9
   UN -Habitat, 2018, INT C CLIM CHANG CIT
   UN -Habitat, 2018, P DOCUMENT CITIES CL
   United Nations, 2015, Paris Agreement
   Viner D, 2014, NAT CLIM CHANGE, V4, P848, DOI 10.1038/nclimate2362
   Voogt J., 2018, INT ASS URBAN CLIM, V67, P34
   Walker D, 2006, QUAL HEALTH RES, V16, P547, DOI 10.1177/1049732305285972
   Walter AI, 2007, EVAL PROGRAM PLANN, V30, P325, DOI 10.1016/j.evalprogplan.2007.08.002
NR 64
TC 2
Z9 2
U1 0
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-0490
J9 CURR RES ENVIRON SUS
JI Curr. Res. Environmental Sustainability
PY 2022
VL 4
AR 100189
DI 10.1016/j.crsust.2022.100189
PG 14
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 7I1RU
UT WOS:000903672900008
OA gold
DA 2025-01-10
ER

PT J
AU Miszuk, B
   Adynkiewicz-Piragas, M
   Kolanek, A
   Lejcus, I
   Zdralewicz, I
   Stronska, M
AF Miszuk, Bartlomiej
   Adynkiewicz-Piragas, Mariusz
   Kolanek, Agnieszka
   Lejcus, Iwona
   Zdralewicz, Iwona
   Stronska, Marzenna
TI Climate changes and their impact on selected sectors of the Polish-Saxon
   border region under RCP8.5 scenario conditions
SO METEOROLOGISCHE ZEITSCHRIFT
LA English
DT Article
DE climate changes; sensitivity; risk assessment; Lower Silesia; Saxony
ID HOMOGENEITY TEST; MANAGEMENT
AB Climate changes are one of the most important factors affecting various spectra of the human activity and natural environment. They can significa tly impact technical infrastructure, modify structures of cultivation, and have an inf uence on species structure. Furthermore, some of the changes may also negatively affect the human organism which consequently inf uence health and tourism issues. The region of Polish-Saxon border is characterized by a high variability in terms of land use and natural environment. Thus, the problem of climate changes is one of the most important issues in this area. The goal of this paper is to assess the impact of climate changes on the sectors of biodiversity, forestry, agriculture, transport, tourism, and public health, considering the aspects of sensitivity and risk assessment. The results of climate changes indicated observed or projected signif cant changes in thermal, precipitation, snow and storm conditions. The analysis on sensitivity and risk showed a high spatial variability depending on sector. The northern part of the region is usually endangered in the context of biodiversity and forestry, while the highest risk and sensitivity for tourism are noticed in the mountains. In the case of transport and public health, climate changes can usually affect them in densely populated areas, whereas the central part of the region is most at risk for the sector of agriculture. The results of this research can be a basis for further analysis related to adaptation to climate changes.
C1 [Miszuk, Bartlomiej; Adynkiewicz-Piragas, Mariusz; Kolanek, Agnieszka; Lejcus, Iwona; Zdralewicz, Iwona; Stronska, Marzenna] Natl Res Inst, Inst Meteorol & Water Management, Ul Parkowa 30, PL-51616 Wroclaw, Poland.
C3 Institute of Meteorology & Water Management
RP Miszuk, B (corresponding author), Natl Res Inst, Inst Meteorol & Water Management, Ul Parkowa 30, PL-51616 Wroclaw, Poland.
EM Bartlomiej.Miszuk@imgw.pl
RI ; Adynkiewicz-Piragas, Mariusz/L-7932-2018
OI Miszuk, Bartlomiej/0000-0003-0030-7267; Adynkiewicz-Piragas,
   Mariusz/0000-0003-3237-8916; Zdralewicz, Iwona/0000-0002-5999-7066
CR Adynkiewicz-Piragas M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125060
   ALEXANDERSSON H, 1986, J CLIMATOL, V6, P661, DOI 10.1002/joc.3370060607
   Alexandersson H, 1997, INT J CLIMATOL, V17, P25, DOI 10.1002/(SICI)1097-0088(199701)17:1<25::AID-JOC103>3.0.CO;2-J
   Amelung B.e., 2007, Climate Change and Tourism - Assessment and Coping Strategies, P41
   [Anonymous], 2014, HUMAN HLTH IMPACTS C
   [Anonymous], 1996, CLIMATE CHANGE 1995
   [Anonymous], OPR WDRO ZEN STRAT P, P297
   [Anonymous], 2014, Climate change 2014: synthesis report
   Belli A., 2012, ADV GEOSCI, V32, P93, DOI [10.5194/adgeo-32-93-2012, DOI 10.5194/ADGEO-32-93-2012]
   Berry P, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122626
   Brecht BM, 2020, METEOROL Z, V29, P97, DOI 10.1127/metz/2020/1010
   Buth M., 2015, GERMANYS VULNERABILI, P1
   Chmielewski FM, 2005, INT J BIOMETEOROL, V50, P96, DOI 10.1007/s00484-005-0275-1
   Christodoulou A, 2018, IMPACTS CLIMAT UNPUB
   Colin M, 2016, TRANSP RES PROC, V14, P86, DOI 10.1016/j.trpro.2016.05.044
   Di Napoli C, 2018, INT J BIOMETEOROL, V62, P1155, DOI 10.1007/s00484-018-1518-2
   Duijm NJ, 2015, SAFETY SCI, V76, P21, DOI 10.1016/j.ssci.2015.02.014
   Durlo G. B., 2012, OBSZ WIEJ, V12, P107
   DWD, 2020, NAT KLIM KLIM GEST H
   EC, 2021 FORG CLIM RES E
   Einchhorst U., 2009, ADAPTING URBAN TRANS
   Fronzek S, 2019, REG ENVIRON CHANGE, V19, P679, DOI 10.1007/s10113-018-1421-8
   German Strategy for Adaptation to Climate Change, 2008, GERM STRAT AD CLIM C
   Graczyk D., CLIMATE CHANGE POLAN, P545, DOI [10.1007/978-3-030-70328-8_23, DOI 10.1007/978-3-030-70328-8_23]
   Hänsel S, 2019, ADV WATER RESOUR, V127, P53, DOI 10.1016/j.advwatres.2019.03.005
   Hänsel S, 2009, SUSTAINABLE DEVELOPMENT AND BIOCLIMATE: REVIEWED CONFERENCE PROCEEDINGS, P18
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Hansel S., 2006, C BIOCL WAT LAND STR
   Hoy A, 2011, REG ENVIRON CHANGE, V11, P459, DOI 10.1007/s10113-010-0155-z
   Imbery F., 2021, KLIMATOLOGISCHER RUC
   IMGWPIB, 2021, KLIM POLSK 2020
   IPCC,, 2021 CLIM CHANG 2021
   *IPCC, 2002, CLIM CHANG BIOD, P85
   Jacobs Claire, 2019, EEA Report
   Jagiello P., 2019, WSP CZESNE PROBLEMY, P121
   Kahlenborn W., 2021 KLIMAWIRKUNGSUN
   Kaspar F., 2021, ABTEILUNG KLIMAUBERW, V6
   Kirschenstein M., 2018, P 18 INT MULT SCI GE, P719, DOI [10.5593/sgem2018/4.2/S19.092, DOI 10.5593/SGEM2018/4.2/S19.092]
   Kowalczak P., 2009, MINISTERSTWO SRODOWI, P118
   kowska Bielec-Ba., 2021, CLIMATE CHANGE POLAN, P421, DOI [10.1007/ 978-3-030-70328-8_16, DOI 10.1007/978-3-030-70328-8_16]
   Kreienkamp F., 2013, SACHSISCHES LANDESAM, V3, P38
   Kreyling J, 2011, CLIM RES, V46, P269, DOI 10.3354/cr00996
   Kundzewicz Z.W., 2013, CIEPLEJSZY SWIAT RZE
   Kundzewicz ZW, 2018, ACTA GEOPHYS, V66, P1509, DOI 10.1007/s11600-018-0220-4
   Kundzewicz ZW, 2007, GEOGR POL, V80, P9
   Kundzewicz ZW, 2012, WIRES CLIM CHANGE, V3, P297, DOI 10.1002/wcc.175
   Lasy Pa nstwowe, 2015, PROGR AD LAS LESN ZM
   Lunich K., 2014, LAUSITZER NEISSE CHA
   Lupikasza E., 2021, Climate Change in Poland. Past, Present, P349, DOI [10.1007/978-3-030-70328-813, DOI 10.1007/978-3-030-70328-8_13]
   Lupikasza EB, 2011, INT J CLIMATOL, V31, P2249, DOI 10.1002/joc.2229
   Marosz M., 2011, Prace i Studia Geograficzne, V47, P51
   Mehler S., 2014, KLIMA POLNISCH SACHS
   Ministerstwo S, 2015, PODRECZNIK ADAPTACJI
   Ministerstwo Srodowiska, 2013, STRATEGICZNY PLAN AD
   Miszuk B, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12020163
   Miszuk B, 2016, METEOROL Z, V25, P421, DOI 10.1127/metz/2016/0700
   Mücke HG, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17217862
   Nemry F, 2012, IMPACTS CLIMATE CHAN, DOI [10.2791/15504, DOI 10.2791/15504]
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Pinskwar I, 2019, THEOR APPL CLIMATOL, V135, P773, DOI 10.1007/s00704-018-2372-1
   Piskwar I., 2021, Climate Change in Poland: Past, Present, Future, P529, DOI 10.1007/978-3-030-70328-8_22
   Pluntke T, 2016, METEOROL HYDROL WATE, V4, P3, DOI 10.26491/mhwm/61735
   REGKLAM, 2013, MAN RISKS SEIZ OPP D
   Reid H., 2006, CONSERV SOC, V4, P84
   S, 2018, CLIM CHANG AD PLANS
   Sadowski M, 2013, Opracowanie i wdrozenie Strategicznego Planu Adaptacji dla sektorow i obszarow wrazliwych na zmiany klimatu. Adaptacja wrazliwych sektorow i obszarow Polski do zmian klimatu do roku, 2070
   Schliep R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10113959
   Schroter D., 2006, DTSCH WETTERDIENST K, P44
   Schwarzak S., 2014, KLIMAPROJEKTIONEN LU
   Schwarzak S, 2015, INT J CLIMATOL, V35, P2724, DOI 10.1002/joc.4166
   Scott D, 2019, ANN TOURISM RES, V77, P49, DOI 10.1016/j.annals.2019.05.007
   Settele Josef, 2010, BioRisk, V5, P3
   Siddi M., 2020, The European Green Deal: Assess Ingits Current State and Future Implementation
   Smolarkiewicz M, 2011, ROCZ OCHR SR, V13, P241
   SMUL, 2014, WALDSTR 2050 FREIST
   Somorowska U, 2016, ACTA GEOPHYS, V64, P2530, DOI 10.1515/acgeo-2016-0110
   Spathelf P, 2014, ANN FOREST SCI, V71, P131, DOI 10.1007/s13595-013-0280-1
   Szwed M, 2010, NAT HAZARD EARTH SYS, V10, P1725, DOI 10.5194/nhess-10-1725-2010
   Szwed M., 2021, Climate Change in Poland, P513, DOI [10.1007/978-3-030-70328-8_21, DOI 10.1007/978-3-030-70328-8_21]
   Tomczyk AM, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12010068
   Umweltbundesamt, 2007, WETTREG STAT REG MOD
   Umweltbundesamt, 2019, MON DTSCH ANP KLIM
   UNECE, 2020, CLIMATE CHANGE IMPAC
   Urban G., 2015, PRZEGL GEOGR, V87, P497, DOI [10.7163/PrzG.2015.3.5, DOI 10.7163/PRZG.2015.3.5]
   Ustrnul Z., 2021, CLIMATE CHANGE POLAN, P275, DOI DOI 10.1007/978-3-030-70328-8_11
   Zebisch M., 2005, Climate change in Germany: vulnerability and adaptation of climate-sensitive sectors
NR 86
TC 2
Z9 2
U1 0
U2 3
PU E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
PI STUTTGART
PA NAEGELE U OBERMILLER, SCIENCE PUBLISHERS, JOHANNESSTRASSE 3A, D 70176
   STUTTGART, GERMANY
SN 0941-2948
EI 1610-1227
J9 METEOROL Z
JI Meteorol. Z.
PY 2022
VL 31
IS 1
BP 53
EP 68
DI 10.1127/metz/2021/1101
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA YO5QA
UT WOS:000747994700001
OA gold
DA 2025-01-10
ER

PT J
AU Doust, K
   Wejs, A
   Zhang, TT
   Swan, A
   Sultana, N
   Braneon, C
   Luetz, J
   Casset, L
   Fatoric, S
AF Doust, Ken
   Wejs, Anja
   Zhang, Ting-Ting
   Swan, Andrew
   Sultana, Nahid
   Braneon, Christian
   Luetz, Johannes
   Casset, Laura
   Fatoric, Sandra
TI Adaptation to climate change in coastal towns of between 10,000 and
   50,000 inhabitants
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Coastal hazards; Coastal towns; Climate change; Engaging communities;
   Bottom up adaptation
ID CITIES
AB This chapter focuses on mainland coastal towns that have populations of between 10,000 and 50,000 inhabitants. Through six case studies, the chapter develops an understanding of the characteristics that shape each of the communities. By exploring the climate change hazards each of the case studies are experiencing now and forecast into the future, the physical and ecological profile and the human development condition, a view of the climate impacts for each is shaped. The six case study areas include towns that are large enough to be a regional centre, down to much less organised and resourced communities that are at a more subsistence level of development. The case studies include communities that range from tropical storm areas to more temperate climatic areas. Adaptation strategies for each case study are observed, drawing out the similarities and the differences. Insights and lessons learnt show that the bottom-up inclusion of all communities in shaping the adaptation approach is crucial, together with alignment of policy between governments from national to local. Also crucial is the resourcing of local councils which sit on the front line of many adaptation initiatives. The role of universities and other research organisations to provide data, skills training and a toolbox of methodologies to those in the front line leadership roles. An important insight is the collaborative opportunity for universities, communities and agencies to draw out the innovative adaptation strategies that can inform other coastal communities from the smallest village to the largest city.
C1 [Doust, Ken; Swan, Andrew] Southern Cross Univ, Fac Sci & Engn, Lismore, NSW, Australia.
   [Zhang, Ting-Ting] Aalborg Univ, Dept Planning, Aalborg, Denmark.
   [Sultana, Nahid] Univ New South Wales, Sydney, NSW, Australia.
   [Braneon, Christian] Goddard Inst Space Studies, New York, NY USA.
   [Luetz, Johannes] Christian Heritage Coll, Carindale, Qld, Australia.
   [Casset, Laura] Andrews & Newnam Inc LAN, Lockwood, Austin, TX USA.
   [Fatoric, Sandra] Delft Univ Technol, Delft, Netherlands.
   [Swan, Andrew] AJSwan Consulting Australia, Ballina, Australia.
   [Braneon, Christian] SciSpace LLC, Bethesda, MD USA.
   [Doust, Ken] Windana Res Pty Ltd, Sydney, NSW, Australia.
   [Wejs, Anja] Regionshuset Viborg, Viborg, Denmark.
C3 Southern Cross University; Aalborg University; University of New South
   Wales Sydney; National Aeronautics & Space Administration (NASA); NASA
   Goddard Space Flight Center; Goddard Institute for Space Studies;
   Christian Heritage College Queensland; Delft University of Technology
RP Doust, K (corresponding author), Southern Cross Univ, Fac Sci & Engn, Lismore, NSW, Australia.
EM ken.doust@scu.edu.au
RI Doust, Ken/AAQ-7404-2021; Zhang, Tingting/GXF-5248-2022; /AAC-3657-2020;
   Luetz, Johannes/AAH-5131-2019
OI Luetz, Johannes/0000-0002-9017-4471; Fatoric,
   Sandra/0000-0002-3712-0749; Sultana, Nahid/0000-0001-5011-7213; Doust,
   Ken/0000-0002-0686-1659; Wejs, Anja/0000-0002-6723-646X
CR Aransas County, 2017, MULTIJURISDICTIONAL
   Bell D, 2009, INT J URBAN REGIONAL, V33, P683, DOI 10.1111/j.1468-2427.2009.00886.x
   Birchall SJ, 2019, J ENVIRON PLANN MAN, V62, P2238, DOI 10.1080/09640568.2018.1537975
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Cra, 2010, CRIT RISK ASS CRA FI
   Fatoric S, 2012, OCEAN COAST MANAGE, V60, P1, DOI 10.1016/j.ocecoaman.2011.12.015
   Genua-Olmedo A, 2016, SCI TOTAL ENVIRON, V571, P1200, DOI 10.1016/j.scitotenv.2016.07.136
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Huq SaleemulJessica Ayers., 2008, Climate change impacts and responses in Bangladesh (PE 400.990) International Institute for Envrionment and Development
   Lehmann M., TYPOLOGY COASTAL TOW
   Luetz J., 2018, Limits to Climate Change Adaptation, P59, DOI [10.1007/978-3-319-64599-5_5, DOI 10.1007/978-3-319-64599-5_5]
   Luetz JM, 2019, CLIM CHANG MANAG, P617, DOI 10.1007/978-3-319-98294-6_37
   Major DC, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000356
   Masselink G., 2013, MCCIP Sci. Rev, V2013, P71, DOI DOI 10.14465/2013.ARC09.071-086
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Pauleit I., 2015, URBAN VULNERABILITY, DOI [10.1007/978-3-319-03982-4, DOI 10.1007/978-3-319-03982-4]
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Rosenzweig C., 2018, Climate change and cities: Second assessment report of the urban climate change research network
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Werner AD, 2012, GROUND WATER, V50, P48, DOI 10.1111/j.1745-6584.2011.00817.x
NR 21
TC 8
Z9 8
U1 2
U2 12
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD OCT 15
PY 2021
VL 212
AR 105790
DI 10.1016/j.ocecoaman.2021.105790
EA JUL 2021
PG 8
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA WB5JF
UT WOS:000703607300012
OA Green Published
DA 2025-01-10
ER

PT J
AU Cai, ZP
   Page, J
   Cvetkovic, V
AF Cai, Zipan
   Page, Jessica
   Cvetkovic, Vladimir
TI Urban Ecosystem Vulnerability Assessment of Support Climate-Resilient
   City Development
SO URBAN PLANNING
LA English
DT Article
DE climate change; climate-resilient city; ecosystem vulnerability;
   Geo-ICT; socio-ecological model
ID ADAPTATION; MANAGEMENT; AREAS; LAND; GIS
AB Climate change poses a threat to cities. Geospatial information and communication technology (Geo-ICT) assisted planning is increasingly being utilised to foster urban sustainability and adaptability to climate change. To fill the theoretical and practical gaps of urban adaptive planning and Geo-ICT implementation, this article presents an urban ecosystem vulnerability assessment approach using integrated socio-ecological modelling. The application of the Geo-ICT method is demonstrated in a specific case study of climate-resilient city development in Nanjing (China), aiming at helping city decision-makers understand the general geographic data processing and policy revision processes in response to hypothetical future disruptions and pressures on urban social, economic, and environmental systems. Ideally, the conceptual framework of the climate-resilient city transition proposed in this study effectively integrates the geographic data analysis, policy modification, and participatory planning. In the process of model building, we put forward the index system of urban ecosystem vulnerability assessment and use the assessment result as input data for the socio-ecological model. As a result, the model reveals the interaction processes of local land use, economy, and environment, further generating an evolving state of future land use in the studied city. The findings of this study demonstrate that socio-ecological modelling can provide guidance in adjusting the human-land interaction and climate-resilient city development from the perspective of macro policy. The decision support using urban ecosystem vulnerability assessment and quantitative system modelling can be useful for urban development under a variety of environmental change scenarios.
C1 [Cai, Zipan; Cvetkovic, Vladimir] KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, Stockholm, Sweden.
   [Page, Jessica] Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
C3 Royal Institute of Technology; Stockholm University
RP Page, J (corresponding author), Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
EM zipan@kth.se; jessica.page@natgeo.su.se; vdc@kth.se
RI Cai, Zipan/ADH-2013-2022
OI Cai, Zipan/0000-0001-7219-2222
CR Abiodun BJ, 2017, CLIMATIC CHANGE, V143, P399, DOI 10.1007/s10584-017-2001-5
   Aina YA, 2017, CITIES, V71, P49, DOI 10.1016/j.cities.2017.07.007
   Cai ZP, 2020, ENVIRON PLAN B-URBAN, V47, P1380, DOI 10.1177/2399808320934818
   Carmin J., 2009, P WORLD BANK 5 URB R, P5
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen JL, 2016, HABITAT INT, V53, P274, DOI 10.1016/j.habitatint.2015.11.040
   Deal B., 2008, PLANNING SUPPORT SYS, P61
   Deal Brian., 2013, Employment Location in Cities and Regions, P107, DOI [DOI 10.1007/978-3-642-31779-86, 10.1007/978-3-642-31779-8_6, DOI 10.1007/978-3-642-31779-8_6]
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Dolman N., 2021, CLIMATE RESILIENT UR, P21, DOI DOI 10.1007/978-3-030-57537-3_2
   Fu XY, 2017, J ENVIRON PLANN MAN, V60, P249, DOI 10.1080/09640568.2016.1151771
   Gu C., 2011, HUMAN GEOGRAPHY, V26, P54
   Gu CL, 2011, HABITAT INT, V35, P544, DOI 10.1016/j.habitatint.2011.03.002
   [韩刚 Han Gang], 2016, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V30, P70
   HAY GJ, 2010, GIM INT, V24, P1
   Hofstad H, 2017, GREEN ENERGY TECHNOL, P221, DOI 10.1007/978-3-319-54984-2_10
   Hong WY, 2016, ECOL INDIC, V69, P540, DOI 10.1016/j.ecolind.2016.05.028
   Jabareen Y.R., 2009, INT J QUAL METH, V8, P49, DOI DOI 10.1177/160940690900800406
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jafari S., 2010, International Journal of Environmental Science and Development, V1, P441
   Kong, 2007, J MODERN URBAN RES, V2007, P38
   Li GH, 2018, ENRGY PROCED, V152, P756, DOI 10.1016/j.egypro.2018.09.241
   Lomba-Fernández C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174727
   Meera SN, 2012, CROP STRESS AND ITS MANAGEMENT: PERSPECTIVES AND STRATEGIES, P585, DOI 10.1007/978-94-007-2220-0_19
   Mejri O, 2017, INT J DISAST RISK RE, V22, P46, DOI 10.1016/j.ijdrr.2017.02.007
   National Bureau of Statistics of China, 2020, ZHONGG ZHUYAO CHENGS
   National Earth System Science Data Infrastructure & National Science and Technology Infrastructure of China, 2020, NANJ 1 25 WAN ZIYUAN
   Navarra D, 2013, LECT NOTES COMPUT SC, V8074, P14, DOI 10.1007/978-3-642-40358-3_2
   Pan HZ, 2020, AMBIO, V49, P1313, DOI 10.1007/s13280-019-01290-y
   Pan HZ, 2019, J CLEAN PROD, V232, P30, DOI 10.1016/j.jclepro.2019.05.274
   Pan HZ, 2018, LAND DEGRAD DEV, V29, P3639, DOI 10.1002/ldr.3106
   Qiao Qing Qiao Qing, 2008, Research of Environmental Sciences, V21, P117
   Rahman MR, 2015, EARTH SCI INFORM, V8, P853, DOI 10.1007/s12145-015-0219-1
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Song GB, 2010, PROCEDIA ENVIRON SCI, V2, P465, DOI 10.1016/j.proenv.2010.10.051
   Verweij P, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.550799
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wan Zhongcheng, 2006, Shengtaixue Zazhi, V25, P677
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Yangtze River Delta Science Data Centre, 2019, NANJ SHI TUD LIYONG
   Zhang L, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.125050
   Zhang XQ, 2017, J CLEAN PROD, V167, P1106, DOI 10.1016/j.jclepro.2017.04.106
NR 43
TC 9
Z9 9
U1 10
U2 53
PU COGITATIO PRESS
PI LISBON
PA RUA FIALHO ALMEIDA 14, 2 ESQ, LISBON, 1070-129, PORTUGAL
SN 2183-7635
J9 URBAN PLAN
JI Urban Plan.
PY 2021
VL 6
IS 3
BP 227
EP 239
DI 10.17645/up.v6i3.4208
PG 13
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA WI7BD
UT WOS:000708511600002
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Li, Z
   Huang, GH
   Huang, W
   Lin, QG
   Liao, RF
   Fan, YR
AF Li, Zhong
   Huang, Guohe
   Huang, Wendy
   Lin, Qianguo
   Liao, Renfei
   Fan, Yurui
TI Future changes of temperature and heat waves in Ontario, Canada
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID CLIMATE-CHANGE; PRECIPITATION; SIMULATIONS; PROJECTIONS; URBANIZATION;
   MORTALITY; IMPACTS; TRENDS; CITIES; REGION
AB Apparent changes in the temperature patterns in recent years brought many challenges to the province of Ontario, Canada. As the need for adapting to climate change challenges increases, the development of reliable climate projections becomes a crucial task. In this study, a regional climate modeling system, Providing Regional Climates for Impacts Studies (PRECIS), is used to simulate the temperature patterns in Ontario. Three PRECIS runs with a resolution of 25 km x 25 km are carried out to simulate the present (1961-1990) temperature variations. There is a good match between the simulated and observed data, which validates the performance of PRECIS in reproducing temperature changes in Ontario. Future changes of daily maximum, mean, and minimum temperatures during the period 2071-2100 are then projected under the IPCC SRES A2 and B2 emission scenarios using PRECIS. Spatial variations of annual mean temperature, mean diurnal range, and temperature seasonality are generated. Furthermore, heat waves defined based on the exceedance of local climatology and their temporal and spatial characteristics are analyzed. The results indicate that the highest temperature and the most intensive heat waves are most likely to occur at the Toronto-Windsor corridor in Southern Ontario. The Northern Ontario, in spite of the relatively low projected temperature, would be under the risk of long-lasting heat waves, and thus needs effective measures to enhance its climate resilience in the future. This study can assist the decision makers in better understanding the future temperature changes in Ontario and provide decision support for mitigating heat-related loss.
C1 [Li, Zhong; Huang, Wendy] McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L8, Canada.
   [Huang, Guohe; Liao, Renfei; Fan, Yurui] Univ Regina, Inst Energy Environm & Sustainabil Res, UR NCEPU, Regina, SK S4S 0A2, Canada.
   [Huang, Guohe; Lin, Qianguo] North China Elect Power Univ, Inst Energy Environm & Sustainabil Res, UR NCEPU, Beijing 102206, Peoples R China.
C3 McMaster University; University of Regina; North China Electric Power
   University
RP Huang, GH (corresponding author), Univ Regina, Inst Energy Environm & Sustainabil Res, UR NCEPU, Regina, SK S4S 0A2, Canada.; Huang, GH (corresponding author), North China Elect Power Univ, Inst Energy Environm & Sustainabil Res, UR NCEPU, Beijing 102206, Peoples R China.
EM huang@iseis.org
RI FAN, YURUI/F-5949-2012; Huang, Guohe (Gordon)/H-5306-2011
OI FAN, YURUI/0000-0002-0532-4026; Huang, Guohe
   (Gordon)/0000-0003-4974-3019; Li, Zhong/0000-0001-9869-006X
FU Ontario Ministry of the Environment and Climate Change; Natural Science
   and Engineering Research Council of Canada
FX This research was supported by the Ontario Ministry of the Environment
   and Climate Change and the Natural Science and Engineering Research
   Council of Canada.
CR Anandhi A, 2015, THEOR APPL CLIMATOL, V119, P551, DOI 10.1007/s00704-013-1043-5
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], ONT AD STRAT ACT PLA
   Baldwin DJ., 2011, Ecology of a managed terrestrial landscape: patterns and processes of forest landscapes in Ontario, P12
   Bukovsky MS, 2009, J APPL METEOROL CLIM, V48, P2152, DOI 10.1175/2009JAMC2186.1
   Casati B, 2013, J APPL METEOROL CLIM, V52, P2669, DOI 10.1175/JAMC-D-12-0341.1
   Chen Y, 2013, J ENVIRON INFORM, V22, P13, DOI 10.3808/jei.201300242
   Chenoweth J, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010269
   Cunderlik JM, 2009, J HYDROL, V375, P471, DOI 10.1016/j.jhydrol.2009.06.050
   Easterling DR, 1997, SCIENCE, V277, P364, DOI 10.1126/science.277.5324.364
   Forster PMD, 2003, P NATL ACAD SCI USA, V100, P11225, DOI 10.1073/pnas.2034034100
   Fortune MK, 2013, CAN J PUBLIC HEALTH, V104, pE420, DOI 10.17269/cjph.104.3984
   Gershunov A, 2009, J CLIMATE, V22, P6181, DOI 10.1175/2009JCLI2465.1
   Göncü S, 2016, THEOR APPL CLIMATOL, V126, P191, DOI 10.1007/s00704-015-1563-2
   Han JC, 2014, HYDROLOG SCI J, V59, P108, DOI 10.1080/02626667.2013.854368
   [Houghton J.T. IPCC. IPCC.], 2001, CLIMATE CHANGE
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jones R.G., 2004, Generating high resolution climate change scenarios using PRECIS, V40
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Kysely J, 2002, INT J CLIMATOL, V22, P33, DOI 10.1002/joc.720
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Lofgren BM, 1997, J CLIMATE, V10, P2847, DOI 10.1175/1520-0442(1997)010<2847:SEOILG>2.0.CO;2
   Lu GH, 2013, J HYDROL ENG, V18, P1077, DOI 10.1061/(ASCE)HE.1943-5584.0000632
   Mahiny AS, 2013, J ENVIRON INFORM, V22, P27, DOI 10.3808/jei.201300243
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Radinovic D, 2012, THEOR APPL CLIMATOL, V107, P505, DOI 10.1007/s00704-011-0495-8
   Ren DD, 2007, J APPL METEOROL CLIM, V46, P890, DOI 10.1175/JAM2499.1
   Shevchenko O, 2014, INT J CLIMATOL, V34, P1642, DOI 10.1002/joc.3792
   Smoyer KE, 2000, INT J BIOMETEOROL, V44, P190, DOI 10.1007/s004840000070
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Teichmann C, 2013, ATMOSPHERE-BASEL, V4, P214, DOI 10.3390/atmos4020214
   Ul Islam S, 2009, CLIMATIC CHANGE, V94, P35, DOI 10.1007/s10584-009-9557-7
   Vecchi GA, 2007, J CLIMATE, V20, P4316, DOI 10.1175/JCLI4258.1
   Wang S, 2014, INT J CLIMATOL, V34, P3745, DOI 10.1002/joc.3941
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Wang XQ, 2014, J CLIMATE, V27, P5259, DOI 10.1175/JCLI-D-13-00717.1
   Wang XQ, 2013, ENVIRON MODELL SOFTW, V49, P141, DOI 10.1016/j.envsoft.2013.08.006
   Xu L, 2013, NAT CLIM CHANGE, V3, P581, DOI [10.1038/NCLIMATE1836, 10.1038/nclimate1836]
   Zhou LM, 2004, P NATL ACAD SCI USA, V101, P9540, DOI 10.1073/pnas.0400357101
NR 41
TC 14
Z9 15
U1 1
U2 45
PU SPRINGER WIEN
PI WIEN
PA SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD MAY
PY 2018
VL 132
IS 3-4
BP 1029
EP 1038
DI 10.1007/s00704-017-2123-8
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA GD5HW
UT WOS:000430539000027
DA 2025-01-10
ER

PT J
AU Peras, RJJ
   Pulhin, JM
   Inoue, M
AF Peras, Rose Jane J.
   Pulhin, Juan M.
   Inoue, Makoto
TI Vulnerability of Community-Based Forest Management to Climate
   Variability and Extremes: Emerging Insights on the Contribution of REDD
SO SMALL-SCALE FORESTRY
LA English
DT Article
DE Livelihood vulnerability index; Community-based forest management;
   Southern Leyte; Climate variability and extremes; Sustainable
   livelihoods; REDD
ID LIVELIHOOD VULNERABILITY
AB Climate change spurs havoc on social-ecological system. People and places vulnerable to climate change have been the focus of many discussions. However, in the forestry sector, limited studies have been conducted that link human vulnerability to recent initiatives, such as reducing emissions from deforestation and forest degradation or REDD+, especially in highly vulnerable countries. Using case studies from the Philippines, this paper focuses on the vulnerability of two community-based forest management (CBFM) organizations, with and without REDD+ readiness intervention, to show the impacts of climate variability and extremes. Two balance-weighted approaches, the livelihood vulnerability index and the IPCC-framework, were used in the vulnerability assessments. Results revealed high vulnerability of both CBFM organizations, although Malitbog Upland Developers for Sustainable Association (MUDSA) livelihood vulnerability is largely aggravated by its exposure to disaster, climate variability and extremes, accessibility to health facilities and water supply. The long history of CBFM implementation in both organizations have minimal contribution in enhancing the adaptive capacity of members to cope with and adapt to climate change impacts. REDD+ (readiness), does not insure reduced vulnerability to climate change, unless sustainable livelihood is achieved. As the State controls forest resources, the rights of CBFM-organizations to commercially benefit from these resources are limited, a disincentive to the development of new and viable development programs in CBFM areas, such as REDD+. This also constrains the achievement of climate resiliency.
C1 [Peras, Rose Jane J.; Pulhin, Juan M.] Univ Philippines Los Banos, Los Banos, Laguna, Philippines.
   [Peras, Rose Jane J.; Pulhin, Juan M.; Inoue, Makoto] Univ Tokyo, Tokyo, Japan.
C3 University of the Philippines System; University of the Philippines Los
   Banos; University of Tokyo
RP Peras, RJJ (corresponding author), Univ Philippines Los Banos, Los Banos, Laguna, Philippines.; Peras, RJJ (corresponding author), Univ Tokyo, Tokyo, Japan.
EM rjperas@up.edu.ph
RI Pulhin, Juan/AAV-6489-2021
OI Inoue, Makoto/0000-0002-6625-7293
FU Japan Society for the Promotion of Science (JSPS) Ronpaku
FX The authors would like to give special thanks to the Japan Society for
   the Promotion of Science (JSPS) Ronpaku (PhD Dissertation) Program
   Scholarship for providing funding support for the dissertation of the
   main author from which this paper is taken. This is also a result of a
   collaborative research between the University of the Philippines Los
   Banos - College of Forestry and Natural Resources, Laguna, Philippines
   and the University of Tokyo, Japan.
CR Amos E, 2015, ENVIRON DEV SUSTAIN, V17, P887, DOI 10.1007/s10668-014-9580-3
   Ancog R, 2015, INT J CLIM IN PRESS
   [Anonymous], 2007, Climate Change 2007-The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the IPCC
   Ballesteros M. M, 2012, PHILIPPINE I DEV STU
   Carandang A.P., 2013, Analysis of key drivers of deforestation and forest degradation in the Philippines
   Chambers R., 1992, SUSTAINABLE RURAL LI
   Dahal G.R., 2008, Journal of Forest and Livelihood, V7, P19
   DENR (Department of Environment and Natural Resources) Region 8, REG UND BROCH UNPUB
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   El-Zein A, 2015, ECOL INDIC, V48, P207, DOI 10.1016/j.ecolind.2014.08.012
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   GIZ, 2012, SOC BAS REDD PROJ SI, P134
   Grefalda LB, 2014, THESIS, P131
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   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]
   Inoue M, 2013, INT J ENVIRON SUSTAI, V12, P244, DOI 10.1504/IJESD.2013.054951
   Islam Nazrul AKM, 2013, VULNERABILITY CLIMAT, P36
   Jakobsen K, 2013, REG ENVIRON CHANGE, V13, P219, DOI 10.1007/s10113-012-0320-7
   Kreft S, 2015, BRIEFING PAPER GLOBA
   Lasco R., 2011, Annals of Tropical Research, V33, P31
   Lasco R.D., 2013, INT J FORESTRY RES, P1, DOI [10.1155/2013/769575, DOI 10.1155/2013/769575]
   Lasco RD, 2010, SMALL-SCALE FOR, V9, P429, DOI 10.1007/s11842-010-9132-0
   MGB-DENR (Mines and Geo-Sciences Bureau) and JICA (Japan International Cooperation Agency), 2006, LANDSL SUSC MAP MAAS
   MUDSA (Malitbog Upland Developers for Sustainable Association), COMM RES MAN F UNPUB
   Pabuayon IM, 2008, EC ENV PHILIPPINE UP
   Peras RJJ, 2015, ASIA LIFE SCI, V24, P349
   Peras RJJ, 2008, J ENVIRON SCI MANAG, V11, P14
   PNRPS (The Philippines REDD-plus Strategy) Team, 2010, PHIL NAT REDD PLUS S, P97
   Pomeroy RS, 1997, OCEAN COAST MANAGE, V36, P97, DOI 10.1016/S0964-5691(97)00016-1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Pulhin JM, 2008, TENURE REFORM PHILIP, P111
   Pulhin JM, 2012, ENABLING FOREST USER
   Rajesh S, 2014, ASSESSMENT INHERENT
   REDD+SES, 2012, REDD SOC ENV STAND V
   Sasaki N, 2012, ENVIRON SCI POLICY, V23, P35, DOI 10.1016/j.envsci.2012.06.009
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Singh PK, 2014, CLIMATIC CHANGE, V127, P475, DOI 10.1007/s10584-014-1275-0
   Tapia, 2015, MULTILEVEL FOREST GO, P227
   Tapia MA, 2014, PHILIPP ASIA LIFE SC, V23, P481
   Yoo G, 2014, OCEAN COAST MANAGE, V102, P169, DOI 10.1016/j.ocecoaman.2014.09.018
NR 40
TC 2
Z9 3
U1 0
U2 16
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1873-7617
EI 1873-7854
J9 SMALL-SCALE FOR
JI Small-Scale For.
PD JUN
PY 2017
VL 16
IS 2
BP 249
EP 274
DI 10.1007/s11842-016-9354-x
PG 26
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA EU8AJ
UT WOS:000401258600007
DA 2025-01-10
ER

PT J
AU Ofoegbu, C
   Chirwa, PW
   Francis, J
   Babalola, FD
AF Ofoegbu, C.
   Chirwa, P. W.
   Francis, J.
   Babalola, F. D.
TI Conceptualising climate change in forest-based rural areas of South
   Africa: community perceptions and attitudes
SO INTERNATIONAL FORESTRY REVIEW
LA English
DT Article
DE climate change; climate variability; perceptions; forest, rural
   community
ID FARMERS PERCEPTIONS; ADAPTATION; ENGAGEMENT
AB The perceptions of forest-based communities in Vhembe District, South Africa, were examined. Special attention in this study was paid to the aspects linked to climate change, namely socio-cultural issues, views and awareness, beliefs about causes, concerns, and lifestyle adjustments that people are prepared to make. Vegetation type was considered as the major criterion when selecting Makhado, Mutale and Thulamela municipalities, which together with Musina, constitute Vhembe District in Limpopo Province. Seven rural communities in each municipality were selected. Using stratified proportionate random sampling in combination with weighted enumeration area (EA) for these communities, 366 households were chosen and interviewed. It was found that although awareness of 'climate change' was poor, most respondents understood what it meant and its associated challenges. Increasing occurrence of erratic rainfall and forest fires were regarded as visible manifestations of climate change. There was also strong concern about the effects of climate change on forests and forest-related products. The respondents expressed a desire to adopt responsible behaviour towards the use and management of forests as a climate-change intervention strategy. However, most community members were sceptical about the causes of climate change. Taking all these issues into account, it was clear that activities that would enlighten the people on the causes and consequences of climate change regarding their livelihoods should be carried out. This would help promote awareness of climate change and encourage people's participation in crafting measures that might help mitigate and adapt to climate change.
C1 [Ofoegbu, C.; Chirwa, P. W.; Babalola, F. D.] Univ Pretoria, Forest Sci Postgrad Programme, 5-15 Plant Sci Complex, Pretoria, South Africa.
   [Francis, J.] Univ Venda, Inst Rural Dev, ZA-0950 Thohoyandou, South Africa.
   [Babalola, F. D.] Univ Ilorin, Dept Forest Resources Management, Ilorin, Nigeria.
C3 University of Pretoria; University of Venda; University of Ilorin
RP Ofoegbu, C (corresponding author), Univ Pretoria, Forest Sci Postgrad Programme, 5-15 Plant Sci Complex, Pretoria, South Africa.
EM ofoegbu.c@gmail.com
RI Babalola, Folaranmi/AAD-9791-2020; Ofoegbu, Chidiebere/Q-8372-2019;
   Francis, Joseph/AAK-3951-2021
OI Babalola, Folaranmi D./0000-0002-8837-0991; Ofoegbu,
   Chidiebere/0000-0002-8920-9411
FU National Research Foundation of South Africa through the Innovation
   Doctoral Scholarship Program at the University of Pretoria [UID: 82942]
FX The National Research Foundation of South Africa (Grant UID: 82942)
   funded this research through the Innovation Doctoral Scholarship Program
   at the University of Pretoria. The financial support enabled the first
   author to undertake this research as part of his Ph.D. in Forestry
   studies. Special gratitude goes to the members and leaders of the
   communities in Mutale, Makhado and Thulamela municipalities where this
   study was conducted. The valuable inputs of Andries Masange, Frans
   Kanfer, and two anonymous referees to this work are gratefully
   acknowledged. The authors would also like to indicate that the opinions
   expressed and conclusions arrived at, are those of the authors and are
   not of the sponsors.
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   [Anonymous], 2011, NATL DEV PLAN 2030 O
   [Anonymous], THESIS
   [Anonymous], 2011, CENS 2011 STAT REL P
   [Anonymous], 2009, UNDERSTANDING FARMER
   [Anonymous], 2013, LONG TERM AD SCEN FL
   [Anonymous], P INT ASS AGR EC BEI
   [Anonymous], 2011, INDIGENOUS WORLD 201
   [Anonymous], THESIS
   Ben Mansoura A, 2001, LAND USE POLICY, V18, P153, DOI 10.1016/S0264-8377(01)00004-7
   Berg R.G., 2014, 4 1 1 SPSS BINOMIAL
   Bethlehem J., 2015, Applied survey methods: A statistical perspective
   BLESS C., 1995, FUNDAMENTALS SOCIAL, P50
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Buys L, 2012, REG ENVIRON CHANGE, V12, P237, DOI 10.1007/s10113-011-0253-6
   Chamberlain D, 2005, CONTRIBUTION COSTS D
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Clewer A.G., 2001, Practical statistics and experimental design for plant and crop science, P1
   Corner A, 2014, WIRES CLIM CHANGE, V5, P411, DOI 10.1002/wcc.269
   DEAT (Department of Environmental Affairs and Tourism), 2004, NAT CLIM CHANG RESP
   Duan HX, 2014, J CLEAN PROD, V64, P545, DOI 10.1016/j.jclepro.2013.08.036
   Dube T., 2013, American International Journal of Contemporary Research, V3, P11
   Egbe CA., 2014, J Sustain Dev, V7, P25, DOI [10.5539/jsd.v7n2p25, DOI 10.5539/JSD.V7N2P25]
   Engelbrecht F, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085004
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Ham C., 2001, Southern African Forestry Journal, P65
   HARRELL F.E., 2001, INTERGOVERNMENTAL PA
   Ishaya S., 2008, Journal of Geography and Regional Planning, V1, P138, DOI DOI 10.5897/JGRP.9000080
   Kadir T., 2013, Indicators of climate change in California
   Lorenzoni I., 2001, 0105 CSERGE ECM
   MACHARIA P.N., 2011, AFRICA CROP SCI J, V20, P287
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   MARREWIJK L., 2011, THESIS
   Marsden G., 2009, BETTER INFORM BETTER
   Mengistu D. K., 2011, Agricultural Sciences, V2, P138, DOI 10.4236/as.2011.22020
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Nesha K., 2014, Journal of Environment and Human, V1, P23
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   NZEADIBE T.C., 2013, AFRICAN TECHNOLOGY P, V57
   Ofoegbu C, 2014, INT FOREST REV, V16, P172, DOI 10.1505/146554814811724838
   Piya L., 2012, Journal of Indian studies, V2, P35, DOI DOI 10.15027/33600
   Quinn CH, 2011, ECOL SOC, V16, DOI 10.5751/ES-04216-160302
   RIK T., 2008, 48 CHARLES STURT U I, P1
   Roderick MR, 2012, FARMER PERCEPTIONS B
   Rosmarin J., 2013, Vhembe biosphere reserve
   SWANEPOEL H., 2006, COMMUNITY DEV BREAKI, P350
   Turpie J., 2013, Financial and Fiscal Commission. Submission for the 2013/14 Division of Revenue, P100
   Turpie J H., 2002, Economic Impacts of Climate Change in South Africa: A Preliminary Analysis of Unmitigated Damage Costs
   VBR (Vhembe Biosphere Reserve), 2012, VHEMB BIOSPH RES EC
   Vhembe D., 2013, VHEMBE DISTRICT MUNI
   Weingart P, 2000, PUBLIC UNDERST SCI, V9, P261, DOI 10.1088/0963-6625/9/3/304
   Wiid N, 2012, S AFR GEOGR J, V94, P152, DOI 10.1080/03736245.2012.742783
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Wolfsegger C., 2005, Perception and Adaptation to Climate Change in Low Altitude Ski Resorts in Austria
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 56
TC 4
Z9 4
U1 0
U2 14
PU COMMONWEALTH FORESTRY ASSOC
PI CRAVEN ARRMS
PA CRIB, DINCHOPE, CRAVEN ARRMS SY7 9JJ, SHROPSHIRE, ENGLAND
SN 1465-5489
EI 2053-7778
J9 INT FOREST REV
JI Int. For. Rev.
PD SEP
PY 2016
VL 18
IS 3
BP 319
EP 333
DI 10.1505/146554816819501709
PG 15
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA DU6JE
UT WOS:000382319900005
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Meli, P
   Landa, R
   López-Medellín, X
   Carabias, J
AF Meli, Paula
   Landa, Rosalva
   Lopez-Medellin, Xavier
   Carabias, Julia
TI Social Perceptions of Rainforest and Climatic Change from Rural
   Communities in Southern Mexico
SO ECOSYSTEMS
LA English
DT Article
DE Adaptation; Deforestation; Ecosystem management; Human ecosystems;
   Qualitative research; Socio-ecological systems
ID LANDSCAPE
AB Understanding social perceptions of rural communities is essential to construct public policy and management alternatives, not only to maintain natural ecosystems but also to deal with a changing environment due to climatic change. Because climate variability in Mexico has important socio-economic and environmental impacts, it is necessary to build capacities for adaptation. We describe social perceptions of three main local stakeholders (that is, farmers, elders, and local authorities), regarding their relationships with rainforest and local adaptation to climate change in eleven rural communities in Marqu,s de Comillas municipality, Chiapas, Southern Mexico. We based in a qualitative approach and used participant observation and semi-structured interviews. Even certain subtly variation among stakeholders, we recognized some underlying ideas behind perceptions. Rainforest is considered crucial to maintain human livelihoods and to mitigate climatic changes. They perceived changes in climate occurring in the region, such as raising temperature, unpredictable rainfall, and streams becoming dry. Local organization and government involved in managing rainforest or dealing with climatic changes are practically absent. This emphasizes the needs bring proper and reliable information to make decisions regarding rainforest use and management, but also to adapt to a changing climate. The loss of the collective character of the communities and, certain conflicts in public policies that mirrored in the coexistence of initiatives with contrasting objectives are proposed as particularly important for understanding the emergence of these perceptions. We proposed some recommendations to bolster regional capacities addressing climate change. Involving stakeholders such as governmental and non-governmental institutions is also imperative.
C1 [Meli, Paula] Nat & Ecosistemas Mexicanos AC, Mexico City 01000, DF, Mexico.
   [Landa, Rosalva] Ctr Interdisciplinario Biodiversidad & Ambiente A, Mexico City, DF, Mexico.
   [Lopez-Medellin, Xavier] Univ Autnoma Estado Morelos, Dept Manejo Recursos Nat & Educ Ambiental, CIByC, Cuernavaca 62209, Morelos, Mexico.
   [Carabias, Julia] Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 45210, DF, Mexico.
C3 Universidad Autonoma del Estado de Morelos; Universidad Nacional
   Autonoma de Mexico
RP Meli, P (corresponding author), Nat & Ecosistemas Mexicanos AC, Plaza San Jacinto 23-D, Mexico City 01000, DF, Mexico.
EM paula@naturamexicana.org.mx
RI , 0000-0001-5390-7552/G-1872-2018; Medellín, Xavier/AAF-8469-2020
OI Lopez-Medellin, Xavier/0000-0002-5383-1559
FU Pemex; WWS-FCS Alliance; Facultadde Ciencias-UNAM [INE/A1-042/08]
FX WethankM. Hernandez, J. Gonzalez-Zurita, K. Soto, and A. Gutierrez for
   field assistance. PM thanks funding by Pemex and the WWS-FCS Alliance to
   Natura y Ecosistemas Mexicanos AC. JC thanks project INE/A1-042/08, by
   Facultadde Ciencias-UNAM and the Instituto Nacional de Ecologia.
CR [Anonymous], 2012, INVESTIG AMBIENT
   [Anonymous], 2008, AGUA CLIMA ELEMENTOS
   [Anonymous], 1993, CULTURA CAMBIO GLOBA
   [Anonymous], INTRO METODOS CUALIT
   [Anonymous], 2005, EC WELL BEING
   [Anonymous], 1998, CE
   Brechin SR, 2002, SOC NATUR RESOUR, V15, P41, DOI 10.1080/089419202317174011
   Castillo A, 2005, ECOSYSTEMS, V8, P630, DOI 10.1007/s10021-005-0127-1
   CATHALAC-PNUD-GEF, 2008, FOM CAP ET AD CAMB C
   Ceiba, 2009, AN SIST DIF LECC APR
   Challenger A., 2009, Capital natural de Mexico, Vol. II: Estado de Conservacion y Tendencias de Cambio, VII, P37
   Clardy A., 2013, Modern Management Science Engineering, V1, P100
   CONABIO, 2006, Capital natural y bienestar social
   De Jong BHJ, 2000, AMBIO, V29, P504, DOI 10.1639/0044-7447(2000)029[0504:CFAPOL]2.0.CO;2
   De Vos J., 2002, TIERRA SEMBRAR SUEN
   De Vos J., 1996, ORO VERDE COPNQUISTA
   Dirzo R, 1991, LACANDONIA ULTIMO RE, P52
   Durand L, 2011, LAND USE POLICY, V28, P76, DOI 10.1016/j.landusepol.2010.04.009
   Endter-Wada J, 1998, ECOL APPL, V8, P891, DOI 10.1890/1051-0761(1998)008[0891:AFFUSS]2.0.CO;2
   Gachanja MK., 2003, UNASYLVA, V55, P59
   Glaister KW, 1999, LONG RANGE PLANN, V32, P107, DOI 10.1016/S0024-6301(98)00131-9
   Gonzalez-Ponciano J., 1996, CHIAPAS RUMBOS OTRA, P425
   Harvey N., 2002, REMUNICIPILIZACION 7
   Helms MM, 2010, J STRATEGY MANAG, V3, P215, DOI 10.1108/17554251011064837
   Hoffenberg PH, 2001, J CONTEMP HIST, V36, P111, DOI 10.1177/002200940103600105
   Hunziker M, 2008, MT RES DEV, V28, P140, DOI 10.1659/mrd.0952
   INE-UNAM, 2006, FOM CAP ET 2 AD CA7B
   INEGI, 2010, PARTICIPANT OBSERVAT
   Jorgensen DL., 1989, PARTICIPANT OBSERVAT, P75
   Landa R., 2011, BASES GOBERNANZA HID
   Landa R, 2007, DIAGNOSTICO AMBIENTA
   Lazos E, 2000, MIRADAS INDIGENOS NA
   Lewis-Beck M., 2004, The Sage Encyclopedia of Social Science Research Methods, DOI 10.4135/9781412950589
   López-Medellín X, 2011, OCEAN COAST MANAGE, V54, P318, DOI 10.1016/j.ocecoaman.2010.12.012
   López-Medellín X, 2011, J VEG SCI, V22, P143, DOI 10.1111/j.1654-1103.2010.01232.x
   Mendoza E, 1999, BIODIVERS CONSERV, V8, P1621, DOI 10.1023/A:1008916304504
   Musante K., 2010, Participant observation: A guide for fieldworkers
   Nygren A, 2004, SOC NATUR RESOUR, V17, P189, DOI 10.1080/08941920490270221
   O' Neill RV, 2001, ECOLOGY, V82, P3275
   Peon FortinoVela., 2001, OBSERVAR, P63
   Schama Simon., 1995, LANDSCAPE MEMORY, V1st
   Semarnat, 2009, LIBR BLANC SELV
   Silverman D., 2000, DOING QUALITATIVE RE
   Toledo V., 1997, ENV SUSTAINABILITY P, P233
   UNAM-INE, 2006, ESTR REST AMB PREV I
   UNAM-INE, 2009, AN SOC DET PERC PROB
   UNAM-INE, 2013, EV IMP PROYECT DES S
   UNAM-INE, 2008, AN COMP DEF EJ MARQ
   WEIHRICH H, 1982, LONG RANGE PLANN, V15, P54, DOI 10.1016/0024-6301(82)90120-0
   WHYTE AVT, 1985, CLIMATE IMPACT ASSES, P403
   Wilshusen P., 2003, Contested nature: Promoting international biodiversity with social justice in the twenty-first century, P195
NR 51
TC 16
Z9 18
U1 0
U2 27
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1432-9840
EI 1435-0629
J9 ECOSYSTEMS
JI Ecosystems
PD DEC
PY 2015
VL 18
IS 8
BP 1343
EP 1355
DI 10.1007/s10021-015-9903-8
PG 13
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CW6GS
UT WOS:000365096400004
DA 2025-01-10
ER

PT C
AU Stakhiv, E
   Stewart, B
AF Stakhiv, Eugene
   Stewart, Bruce
BE Sivakumar, MVK
   Nyenzi, BS
   Tyagi, A
TI Needs for Climate Information in Support of Decision-Making in the Water
   Sector
SO WORLD CLIMATE CONFERENCE - 3
SE Procedia Environmental Sciences
LA English
DT Proceedings Paper
CT 3rd World Climate Conference (WCC) on Climate Prediction and Information
   for Decision-Making
CY AUG 31-SEP 04, 2009
CL Geneva, SWITZERLAND
DE Surveillance; monitoring and assessment; Decision support system tools;
   potential adaptation strategies; climate products and services
AB As the fundamental drivers of the hydrological cycle are affected by increasing climate variability and climate change, the need for climate information for effective decision making in the water sector is crucial. Water resources management is essentially bounded by how the extremes - floods and droughts - are defined and characterized, along with methods and standards for reducing the risks to society. The ways in which water managers can adapt to contemporary climate variability, and which ultimately will serve as the foundation to adapting to climate change are described. Water managers use various surveillance, monitoring and assessment systems. Numerous variations of Decision Support System (DSS) tools have been developed by the water sector to assist in policy formulation, design, planning and operation of water infrastructure and some examples are given. The socio-economic factors that affect decision making, the mechanisms for interacting with stakeholders and water governance are described. Adaptation to current climate variability and potential climate change is a prerequisite for sustainable development and poverty reduction and needs to be integrated into the broader water resources development and management processes. Potential adaptation strategies in the water sector are described with examples. The needs for tailored climate products and services for the water sector are described. The major gaps in observations of climate change related to freshwater and hydrological cycles and the requirements for research and technology as well as for infrastructure, education, training and capacity-building are highlighted.
EM Eugene.z.stakhiv@iwr01.usace.army.mil
CR [Anonymous], 1992, UN C ENV DEV RIO JAN
   [Anonymous], AD MAN WAT RES PROJ
   [Anonymous], 2008, IPCC TECHNICAL PAPER
   Army U.S. Corps of Engineers, 1996, RISK BAS AN FLOOD DA
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   National Research Council (NRC), 1985, SAF DAMS FLOODS EART
   Olsen J.R., 2002, UNCERTAINTY FLOOD FR
   Stakhiv E.Z., 2006, OPTIONS MANAGING LAK
   United Nations Economic Commission for Europe (UNECE), 2009, GUID WAT AD IN PRESS
NR 9
TC 22
Z9 24
U1 0
U2 2
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1878-0296
J9 PROCEDIA ENVIRON SCI
PY 2010
VL 1
BP 102
EP 119
DI 10.1016/j.proenv.2010.09.008
PG 18
WC Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA BDO59
UT WOS:000314234800005
OA gold
DA 2025-01-10
ER

PT J
AU Zurovec, O
   Vedeld, PO
AF Zurovec, Ognjen
   Vedeld, Pal Olav
TI Rural Livelihoods and Climate Change Adaptation in Laggard Transitional
   Economies: A Case from Bosnia and Herzegovina
SO SUSTAINABILITY
LA English
DT Article
DE rural livelihoods; climate change; adaptation; perceptions; agriculture;
   Bosnia and Herzegovina; transitional economies; sustainable livelihoods
   approach
ID ADAPTIVE CAPACITY; FOOD SECURITY; VARIABILITY; IMPACTS
AB This study analyzes farm households' adaptation in a broad livelihood context, showing how both household internal dynamics and broader external factors, such as agro-ecological, climatic, and institutional economic and political frame conditions, influence both the perception of and adaptation to climate variations and change. Nearly a third of the households in Bosnia and Herzegovina (BH) are engaged in agriculture as one livelihood strategy to cope with the multiple shocks experienced over the past three decades, resulting in economic decline and loss of income opportunities. Based on a household survey, we analyzed the livelihoods of households in three agricultural regions in BH: how they are affected by climate change, their perceptions of climatic change, as well as various household adaptation strategies. The results were discussed in the context of the sustainable livelihoods approach. Our results indicate that rural households are relatively asset poor and highly dependent on agriculture, irrespective of geographical location or wealth. Their access to assets is further constrained by the ongoing changes in economic and political structures and processes. Negative effects of climate change were reported in terms of yield decline and reduced quality of products. On a positive note, the level of adoption of different agricultural practices and technologies indicates signs of an overall intensification strategy of agricultural production in BH, as well as adaptation to the perceived changes in climate and climate variability using the available asset base.
C1 [Zurovec, Ognjen; Vedeld, Pal Olav] Norwegian Univ Life Sci, Fac Land & Soc, Dept Int Environm & Dev Studies Noragr, N-1432 As, Norway.
C3 Norwegian University of Life Sciences
RP Zurovec, O (corresponding author), Norwegian Univ Life Sci, Fac Land & Soc, Dept Int Environm & Dev Studies Noragr, N-1432 As, Norway.
EM ognjen.zurovec@teagasc.ie; pal.vedeld@nmbu.no
RI Žurovec, Ognjen/I-3082-2019
OI Zurovec, Ognjen/0000-0002-5155-6274
FU project "Agricultural Adaptation to Climate Change-Networking,
   Education, Research, and Extension in theWest Balkans" - HERD, the
   Programme for Higher Education, Research and Development 2010-2014
FX This study was supported by the project "Agricultural Adaptation to
   Climate Change-Networking, Education, Research, and Extension in theWest
   Balkans", funded by HERD, the Programme for Higher Education, Research
   and Development 2010-2014.
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Adger N., 2003, CLIMATE CHANGE ADAPT, P29, DOI DOI 10.1142/9781860945816_0003
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], 2 NAT COMM BOSN HERZ
   [Anonymous], RES 2013 CENS
   [Anonymous], STRAT PLAN RUR DEV B
   [Anonymous], MED TERM STRAT AGR S
   [Anonymous], CHANGES
   [Anonymous], 2013, GLOBAL CLIMATE RISK
   [Anonymous], AGROZNANJE
   [Anonymous], HOUS BUDG SURV 2015
   [Anonymous], P INT RES WORKSH GLO
   [Anonymous], AR SOWN PLANT END SP
   [Anonymous], AGR SECT POL NOT BOS
   [Anonymous], ANN REP AGR FOOD RUR
   [Anonymous], AGR REP BOSN HERZ 20
   [Anonymous], P 4 DAES C AGR W BAL
   [Anonymous], AUTONOMOUS ADAPTATIO
   [Anonymous], LAB FORC SURV 2017 P
   [Anonymous], AN FOR TRAD BOSN HER
   [Anonymous], UN TOT TOT LAB FORC
   [Anonymous], P 11 EUR ASS AGR EC
   [Anonymous], ORCH ZON FED BOSN HE
   [Anonymous], CLIMATE ATLAS BOSNIA
   [Anonymous], FARMER ORG MARK ACC
   Bajramovic S, 2014, Agricultural policy and European integration in Southeastern Europe, P73
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Berjan S., 2014, Agriculture and Forestry, V60, P119
   Berjan S., 2014, International Journal of Environmental and Rural Development, V5, P17
   Bernstein H., 2010, Class Dynamics of Agrarian Change
   Borensztein E, 1998, J INT ECON, V45, P115, DOI 10.1016/S0022-1996(97)00033-0
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Burgess T.F., 2001, GUIDE DESIGN QUESTIO, P1
   Cadro S., 2017, Radovi Poljoprivrednog Fakulteta Univerziteta u Sarajevu\Works of the Faculty of Agriculture University of Sarajevo, V62, P101
   Cadro S., 2017, Agriculture and Forestry, V63, P199, DOI 10.17707/agricultforest.63.3.20
   Cadro S, 2017, INT SOIL WATER CONSE, V5, P309, DOI 10.1016/j.iswcr.2017.07.002
   Chambers R., 1992, IDS DISCUSSION PAPER
   Clay J., 2013, WORLD AGR ENV COMMOD
   Davis J., 2006, eJADE - Electronic Journal of Agricultural and Development Economics, V3, P180
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DFID, 1999, Sustainable livelihood guidance sheets
   Dzihic V, 2012, SOUTHEAST EUR, V36, P328, DOI 10.1163/18763332-03603003
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Gómez-Baggethun E, 2012, GLOBAL ENVIRON CHANG, V22, P640, DOI 10.1016/j.gloenvcha.2012.02.005
   GREENWOOD JA, 1950, J AM STAT ASSOC, V45, P257, DOI 10.2307/2280683
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haggblade S., 2007, TRANSFORMING RURAL N
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hertel TW, 2010, APPL ECON PERSPECT P, V32, P355, DOI 10.1093/aepp/ppq016
   Jamshed Shazia, 2014, J Basic Clin Pharm, V5, P87, DOI 10.4103/0976-0105.141942
   Khatiwada SP, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9040612
   Klein RJT, 2003, FEEM SER ECON ENVIR, P32
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Nhemachena C., 2014, Journal of Development and Agricultural Economics, V6, P232
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Rahman HMT, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00002
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Ross R, 2017, THESE OPPRESSIONS WON'T CEASE: AN ANTHOLOGY OF THE POLITICAL THOUGHT OF THE CAPE KHOESAN, 1777-1879, P21
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smithers J, 1997, GLOBAL ENVIRON CHANG, V7, P129, DOI 10.1016/S0959-3780(97)00003-4
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Svejnar J, 2002, J ECON PERSPECT, V16, P3, DOI 10.1257/0895330027058
   Thomas J., 2006, eJADE - Electronic Journal of Agricultural and Development Economics, V3, P225
   UNDP (United Nations Development Programme), 2013, Rural Development in Bosnia and Herzegovina: Myth and Reality: National Human Development Report 2013
   Uvalic M, 2012, STUD DEV ECON POLICY, P364
   Vermeulen SJ, 2012, ENVIRON SCI POLICY, V15, P136, DOI 10.1016/j.envsci.2011.09.003
   Wamsler C, 2012, ECOL SOC, V17, DOI 10.5751/ES-04645-170202
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zurovec O, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071208
   Zurovec O, 2015, AGRICULTURE-BASEL, V5, P245, DOI 10.3390/agriculture5020245
NR 81
TC 18
Z9 19
U1 0
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2019
VL 11
IS 21
AR 6079
DI 10.3390/su11216079
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA JT7ZZ
UT WOS:000501205200206
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Sussman, F
   Krishnan, N
   Maher, K
   Miller, R
   Mack, C
   Stewart, P
   Shouse, K
   Perkins, B
AF Sussman, Fran
   Krishnan, Nisha
   Maher, Kathryn
   Miller, Rawlings
   Mack, Charlotte
   Stewart, Paul
   Shouse, Kate
   Perkins, Bill
TI Climate change adaptation cost in the US: what do we know?
SO CLIMATE POLICY
LA English
DT Article
DE adaptation; climate change; cost estimates; economic cost; United States
ID SEA-LEVEL RISE; ECONOMIC COST; BENEFITS; IMPACTS; FUTURE
AB Researchers and policy makers increasingly recognize the need to adapt to future changes in climate, given that past emissions of greenhouse gases have already committed the world to some level of climate change. However, the current understanding of the costs and benefits of adaptation measures is still fairly rudimentary, and far from comprehensive. An assessment is presented of the current state of knowledge on the magnitude of adaptation costs in the United States. While incomplete, the studies suggest that adaptation cost could be as high as tens or hundreds of billions of dollars per year by the middle of this century. Key studies are identified in each sector, and the cost estimates and approaches to cost estimation are surveyed. Methodological issues are highlighted in interpreting, comparing, and aggregating adaptation cost estimates. Policy recommendations are made along with appropriate steps to make future adaptation cost studies more comparable within and across sectors and more accessible and relevant to policy and decision makers.Policy relevanceDesigning and implementing climate change adaptation policy requires good information about the effectiveness and cost of available adaptive options. The current state of knowledge on adaptation costs in the United States is assessed and significant gaps in the literature are highlighted - particularly in terms of sectoral and geographic coverage - as well as inconsistencies in methodologies and assumptions that hamper comparison across studies. Critical steps are identified that can be taken to make adaptation cost studies more accessible and useful to decision makers. The findings and recommendations are relevant to adaptation cost studies globally, not just in the United States.
C1 [Sussman, Fran; Krishnan, Nisha; Maher, Kathryn; Miller, Rawlings; Mack, Charlotte; Stewart, Paul] ICF Int, Climate Change Sustainabil Div, Washington, DC 20006 USA.
   [Shouse, Kate; Perkins, Bill] US EPA, Climate Change Div, Off Air & Radiat, Washington, DC 20008 USA.
C3 United States Environmental Protection Agency
RP Sussman, F (corresponding author), ICF Int, Climate Change Sustainabil Div, 1725 Eye St NW,Suite 1000, Washington, DC 20006 USA.
EM fsussman@icfi.com
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   Agrawala S, 2011, INT REV ENVIRON RESO, V5, P245, DOI 10.1561/101.00000043
   [Anonymous], OYSTER RIVER CULVERT
   [Anonymous], COSTS IMPACTS POSSIB
   [Anonymous], EX ER ISS COMM BETH
   [Anonymous], CAP LAK ALT AN LOW L
   [Anonymous], POTENTIAL EFFECTS GL
   [Anonymous], 2010, AM CLIM CHOIC PAN AD
   [Anonymous], EARTHSCAN READER ADA
   [Anonymous], 2000, HIDD COSTS COAST HAZ
   [Anonymous], 2008, Magicc/Scengen 5.3: User manual (version 2)
   [Anonymous], 2000, The MAGICC/SCENGEN Climate Scenario Generator: Version 2.4.
   [Anonymous], 2010, COST DEV COUNTR AD C
   [Anonymous], 2009, Shaping climate-resilient development: a framework for decision-making
   [Anonymous], 2009, ASSESSING COSTS ADAP
   [Anonymous], IMPACTS CLIMATE CHAN
   [Anonymous], IMPACT CLIMATE CHANG
   [Anonymous], 2010, Economics of Adaptation to Climate Change - Synthesis Report
   [Anonymous], POTENTIAL EFFECTS GL
   [Anonymous], 2009, Global climate change impacts in the Unites States
   [Anonymous], PREP CHANG CLIM POT
   [Anonymous], PUBL SPEND TRANSP WA
   [Anonymous], IMP CLIM CHANG WASH
   [Anonymous], STAT EXP REP FISC YE
   [Anonymous], GLOBAL WARMING AM EC
   [Anonymous], REGIONAL CLIMATE CHA
   [Anonymous], IMPACT CLIMATE CHANG
   Bark RH, 2010, CLIMATIC CHANGE, V102, P467, DOI 10.1007/s10584-009-9708-x
   Barth M.C., 1984, GREENHOUSE EFFECT SE
   Bin O., 2007, Measuring the Impacts of Climate Change on North Carolina Coastal Resources
   Boicourt K., 2010, Comprehensive Strategy for Reducing Maryland's Vulnerability to Climate Change, Phase II: Building Societal, Economic, and Ecological Resilience
   CHANGNON SA, 1993, CLIMATIC CHANGE, V23, P213, DOI 10.1007/BF01091616
   Ciscar JC, 2012, CLIMATIC CHANGE, V112, P1, DOI 10.1007/s10584-011-0336-x
   Deschenes O., 2007, CLIMATE CHANGE MORTA
   Ebi KL, 2004, B AM METEOROL SOC, V85, P1067, DOI 10.1175/BAMS-85-8-1067
   Ebi KL, 2008, GLOBALIZATION HEALTH, V4, DOI 10.1186/1744-8603-4-9
   Epstein PaulR., 2005, Climate Change Futures: Health, Ecological and Economic Dimensions
   Fankhauser S, 2010, WIRES CLIM CHANGE, V1, P23, DOI 10.1002/wcc.14
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Gaddis EB, 2007, ECOL ECON, V63, P307, DOI 10.1016/j.ecolecon.2007.01.015
   Griggs G.B., 2005, SHORE BEACH, V73, P13
   Hadley SW, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026652
   Hall JW, 2012, NAT CLIM CHANGE, V2, P833, DOI 10.1038/nclimate1749
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Hughes G, 2010, UTIL POLICY, V18, P142, DOI 10.1016/j.jup.2010.03.002
   IPCC, 2000, SPEC REP IPCC WORK G
   Jorgenson D., 2004, U.S. Market Consequences of Global Climate Change
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Kunkel KE, 2006, J CLIMATE, V19, P4137, DOI 10.1175/JCLI3848.1
   Larsen PH, 2008, GLOBAL ENVIRON CHANG, V18, P442, DOI 10.1016/j.gloenvcha.2008.03.005
   Leggett J., 1992, CLIMATE CHANGE 1992, P69
   Liao KJ, 2010, J AIR WASTE MANAGE, V60, P195, DOI 10.3155/1047-3289.60.2.195
   Lund JR, 2007, NEW HORIZ ENVIRON EC, P165
   Mansur ET, 2008, J ENVIRON ECON MANAG, V55, P175, DOI 10.1016/j.jeem.2007.10.001
   Martin AB, 2012, HEALTH AFFAIR, V31, P208, DOI 10.1377/hlthaff.2011.1135
   Maurer E. P., 1990, ASSESSING COSTS ADAP
   Mearns LO., 2003, Integr Assess, V4, P225
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Mendelsohn R., 1999, The Impact of Climate Change on the United State Economy
   Mills E, 2003, BUILD RES INF, V31, P257, DOI 10.1080/0961321032000097674
   Neumann J, 2011, WIRES CLIM CHANGE, V2, P89, DOI 10.1002/wcc.90
   Niemi E., 2009, OVERVIEW POTENTIAL E
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Reilly J, 2003, CLIMATIC CHANGE, V57, P43, DOI 10.1023/A:1022103315424
   Reilly J.M., 2001, Agriculture: The Potential Consequences of Climate Variability and Change for the United States. US National Assessment of the Potential Consequences of Climate Variability and Change
   ROSENTHAL DH, 1995, ENERGY J, V16, P77
   Ruth M., 2007, The US economic impacts of climate change and the costs of inaction
   Scott D., 2006, Journal of Sustainable Tourism, V14, P376, DOI 10.2167/jost550.0
   Smith J.B., 1989, The potential effects of global climate change on the United States: Report to Congress
   Stanton E.A., 2007, Florida and climate change: The costs of inaction
   Stoner AMK, 2009, J CLIMATE, V22, P4348, DOI 10.1175/2009JCLI2577.1
   Titus J., 1998, Maryland Land Review, V27, P1279
   TITUS JG, 1990, COAST MANAGE, V18, P65, DOI 10.1080/08920759009362101
   TITUS JG, 1987, J WATER RES PL-ASCE, V113, P216, DOI 10.1061/(ASCE)0733-9496(1987)113:2(216)
   TITUS JG, 1991, COAST MANAGE, V19, P171, DOI 10.1080/08920759109362138
   Yohe G, 1996, CLIMATIC CHANGE, V32, P387, DOI 10.1007/BF00140353
   Yohe G., 1999, The Impact of Climate Change on the United States Economy, P178
   Yohe GW, 1998, CLIMATIC CHANGE, V38, P447, DOI 10.1023/A:1005338413531
NR 79
TC 18
Z9 20
U1 0
U2 71
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD MAR 4
PY 2014
VL 14
IS 2
BP 242
EP 282
DI 10.1080/14693062.2013.777604
PG 41
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA 275IS
UT WOS:000328670100006
DA 2025-01-10
ER

PT J
AU Reckien, D
   Flacke, J
   Dawson, RJ
   Heidrich, O
   Olazabal, M
   Foley, A
   Hamann, JJP
   Orru, H
   Salvia, M
   Hurtado, SD
   Geneletti, D
   Pietrapertosa, F
AF Reckien, D.
   Flacke, J.
   Dawson, R. J.
   Heidrich, O.
   Olazabal, M.
   Foley, A.
   Hamann, J. J. -P.
   Orru, H.
   Salvia, M.
   Hurtado, S. De Gregorio
   Geneletti, D.
   Pietrapertosa, F.
TI Climate change response in Europe: what's the reality? Analysis of
   adaptation and mitigation plans from 200 urban areas in 11 countries
SO CLIMATIC CHANGE
LA English
DT Article
ID CITIES; IMPACTS; POLICY; CARBON
AB Urban areas are pivotal to global adaptation and mitigation efforts. But how do cities actually perform in terms of climate change response? This study sheds light on the state of urban climate change adaptation and mitigation planning across Europe. Europe is an excellent test case given its advanced environmental policies and high urbanization. We performed a detailed analysis of 200 large and medium-sized cities across 11 European countries and analysed the cities' climate change adaptation and mitigation plans. We investigate the regional distribution of plans, adaptation and mitigation foci and the extent to which planned greenhouse gas (GHG) reductions contribute to national and international climate objectives. To our knowledge, it is the first study of its kind as it does not rely on self-assessment (questionnaires or social surveys). Our results show that 35 % of European cities studied have no dedicated mitigation plan and 72 % have no adaptation plan. No city has an adaptation plan without a mitigation plan. One quarter of the cities have both an adaptation and a mitigation plan and set quantitative GHG reduction targets, but those vary extensively in scope and ambition. Furthermore, we show that if the planned actions within cities are nationally representative the 11 countries investigated would achieve a 37 % reduction in GHG emissions by 2050, translating into a 27 % reduction in GHG emissions for the EU as a whole. However, the actions would often be insufficient to reach national targets and fall short of the 80 % reduction in GHG emissions recommended to avoid global mean temperature rising by 2 A degrees C above pre-industrial levels.
C1 [Reckien, D.] Columbia Univ, Ctr Res Environm Decis, New York, NY 10027 USA.
   [Flacke, J.] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands.
   [Dawson, R. J.; Heidrich, O.] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Olazabal, M.] BC3, Bilbao 48008, Spain.
   [Olazabal, M.] Univ Cambridge, Dept Land Econ, Cambridge CB3 9EP, England.
   [Foley, A.] Queens Univ Belfast, Sch Mech & Aerosp Engn, Belfast BT9 5AH, Antrim, North Ireland.
   [Foley, A.] Natl Univ Ireland Univ Coll Cork, Sch Engn, Cork, Ireland.
   [Hamann, J. J. -P.] CIRED, F-94736 Nogent Sur Marne, France.
   [Orru, H.] Univ Tartu, Dept Publ Hlth, EE-50411 Tartu, Estonia.
   [Orru, H.] Umea Univ, Dept Publ Hlth & Clin Med, S-90185 Umea, Sweden.
   [Salvia, M.; Pietrapertosa, F.] Natl Res Council Italy CNR IMAA, Inst Methodol Environm Anal, Tito, PZ, Italy.
   [Hurtado, S. De Gregorio] Minist Fomento, Ctr Estudios & Experimentac Obras Publ CEDEX, Madrid 28014, Spain.
   [Geneletti, D.] Univ Trento, Dept Civil Environm & Mech Engn, I-38123 Trento, Italy.
C3 Columbia University; University of Twente; Newcastle University - UK;
   Basque Centre for Climate Change (BC3); University of Cambridge; Queens
   University Belfast; University College Cork; Institut Polytechnique de
   Paris; Ecole des Ponts ParisTech; AgroParisTech; Universite Paris
   Saclay; University of Tartu; Umea University; Consiglio Nazionale delle
   Ricerche (CNR); Istituto di Metodologie per l'Analisi Ambientale
   (IMAA-CNR); University of Trento
RP Reckien, D (corresponding author), Columbia Univ, Ctr Res Environm Decis, 406 Schermerhorn Hall MC5501,1190 Amsterdam Ave, New York, NY 10027 USA.
EM dianareckien@columbia.edu
RI Olazabal, Marta/AFT-6957-2022; Orru, Hans/B-1324-2019; Dawson,
   Richard/D-6933-2011; De+Gregorio+Hurtado, Sonia/AAT-3769-2020; Foley,
   Aoife/N-4404-2017; Olazabal, Marta/C-3027-2008; salvia,
   monica/B-7549-2015; Geneletti, Davide/D-5266-2014; Pietrapertosa,
   Filomena/B-7555-2015; Reckien, Diana/P-7348-2015; Flacke,
   Johannes/C-9941-2013
OI Foley, Aoife/0000-0001-6491-2592; Olazabal, Marta/0000-0002-3381-0654;
   salvia, monica/0000-0001-8989-0377; Geneletti,
   Davide/0000-0002-5528-3365; Heidrich, Oliver/0000-0002-6581-5572;
   Pietrapertosa, Filomena/0000-0001-6519-7105; Dawson,
   Richard/0000-0003-3158-5868; Reckien, Diana/0000-0002-1145-9509; Flacke,
   Johannes/0000-0001-8906-7719
FU European Science Foundation [TU0902]; German Research Foundation [RE
   2927/2-1]; Engineering & Physical Sciences Research Council Fellowship
   [EP/H003630/1]; Estonia's Ministry of Education [SF0180060s09]; EPSRC
   [EP/G013403/1, EP/K012398/1, EP/H003630/1] Funding Source: UKRI
FX Research undertaken for this paper was conducted as part of the European
   Science Foundation funded COST Action network Integrated assessment
   technologies to support the sustainable development of urban areas
   (TU0902). D.R. is funded by the German Research Foundation (RE
   2927/2-1). R.D. is funded by an Engineering & Physical Sciences Research
   Council Fellowship (EP/H003630/1). H.O. would like to acknowledge
   Estonia's Ministry of Education for providing resources with the grant
   SF0180060s09. We thank S. Scharf, K. Oinonen, S. Reiter, V. D'Alonzo and
   E. Feliu for their contributions to data gathering.
CR [Anonymous], 2010, Nature, V467, P900, DOI 10.1038/467900a
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   [Anonymous], 2010, Methodologies and Working papers iotasigmatau
   [Anonymous], 2011, Technical report
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Betsill M, 2007, LOCAL ENVIRON, V12, P447, DOI 10.1080/13549830701659683
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Carbon Disclosure Project, 2012, MEAS MAN CDP CIT 201, V2012
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Dawson R, 2007, PHILOS T R SOC A, V365, P3085, DOI 10.1098/rsta.2007.0008
   Dawson RJ, 2011, CARBON MANAG, V2, P175, DOI 10.4155/CMT.11.8
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Duren RM, 2012, NAT CLIM CHANGE, V2, P560, DOI 10.1038/nclimate1629
   Eurostat, 2013, WHAT IS URB AUD
   Glaser B., 1967, The Discovery of Grounded Theory
   Heidrich O, 2013, CLIMATIC CHANGE, V120, P771, DOI 10.1007/s10584-013-0846-9
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Johnson CA, 2013, NAT CLIM CHANGE, V3, P537, DOI 10.1038/nclimate1912
   Kabat P, 2005, NATURE, V438, P283, DOI 10.1038/438283a
   Kousky C, 2003, CLIM POLICY, V3, P359, DOI 10.1016/j.clipol.2003.08.002
   Millard-Ball A, 2012, J URBAN ECON, V71, P289, DOI 10.1016/j.jue.2011.12.004
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Romero-Lankao P, 2012, EUR PLAN STUD, V20, P7, DOI 10.1080/09654313.2011.638496
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Satterthwaite D, 2008, ENVIRON URBAN, V20, P539, DOI 10.1177/0956247808096127
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
NR 28
TC 232
Z9 250
U1 3
U2 141
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JAN
PY 2014
VL 122
IS 1-2
BP 331
EP 340
DI 10.1007/s10584-013-0989-8
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 274RD
UT WOS:000328622900026
DA 2025-01-10
ER

PT J
AU Donatti, CI
   Nicholas, K
   Fedele, G
   Delforge, D
   Speybroeck, N
   Moraga, P
   Blatter, J
   Below, R
   Zvoleff, A
AF Donatti, Camila I.
   Nicholas, Kristina
   Fedele, Giacomo
   Delforge, Damien
   Speybroeck, Niko
   Moraga, Paula
   Blatter, Jamie
   Below, Regina
   Zvoleff, Alex
TI Global hotspots of climate-related disasters
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
ID COMMUNITY; ECOSYSTEM; DATABASE; IMPACTS; LOSSES; PEOPLE
AB Climate change mitigation is crucial to prevent excessive temperature rise, a primary contributor to climate-related impacts. However, even if net zero emissions were achieved immediately, the carbon locked in the atmosphere will continue to impact ecosystems, people, settlements and infrastructure, as observed in the past several decades. Despite the urgent need to minimize climate change impacts, climate adaptation has not kept pace with escalating risks. Data on disaster occurrences and impacts can guide action to where it is most needed. We used data on climate-related disasters recorded between 2000 and 2020 in the Emergency Events Database (EM-DAT) to 1) discern disparities in climate-related disaster impacts across countries and continents, and 2) pinpoint administrative areas where people have been highly impacted from those types of disasters. During this period, over 4,600 occurrences of climate-related disasters were documented, directly impacting over 3.3 billion people. Highly developed countries experienced fewer impacts despite not having a lower number of climate-related events. African countries showed an increase in the number of people impacted through time, despite a decrease in the number of climate-related events. Areas in Central America and the Caribbean, Eastern North America, Eastern Africa and Madagascar, and Southern and Eastern China, India and Southeast Asia had the highest numbers of people impacted per km2. 2 . Identifying locations with disproportionally high numbers of impacted people can lead to action and policy shifts, from local to international levels. Some of the approaches to adapt to climate change impacts that can be cost-effective and readily available are those based on nature and the benefits that nature provides to people. Therefore, nature conservation, restoration and management could be important interventions to help people adapt to the impacts of climate change, especially in areas of low human development and where people have experienced high and very high climate impacts. In the policy sphere, synthesizing information on historical occurrences of climate-related disasters could guide efforts to address losses and damages and to promote climate justice.
C1 [Donatti, Camila I.; Zvoleff, Alex] Betty & Gordon Moore Ctr Sci, Conservat Int, Arlington, VA 94304 USA.
   [Donatti, Camila I.] No Arizona Univ, Dept Biol Sci, Flagstaff, AZ USA.
   [Nicholas, Kristina] Amer Univ Washington, Washington, DC USA.
   [Fedele, Giacomo] Ctr Nat Climate Solut, Conservat Int, Arlington, VA USA.
   [Delforge, Damien; Speybroeck, Niko; Below, Regina] Catholic Univ Louvain, Inst Hlth & Soc IRSS, Brussels, Belgium.
   [Moraga, Paula] King Abdullah Univ Sci & Technol KAUST, Thuwal, Saudi Arabia.
   [Blatter, Jamie] Marine Protected Area Collaborat Network, San Juan Capistrano, CA USA.
C3 Conservation International; Northern Arizona University; American
   University; Conservation International; Universite Catholique Louvain;
   King Abdullah University of Science & Technology
RP Donatti, CI (corresponding author), Betty & Gordon Moore Ctr Sci, Conservat Int, Arlington, VA 94304 USA.
EM cdonatti@conservation.org
RI Donatti, Camila/AAV-2324-2020; Zvoleff, Alexander/P-4813-2019; Delforge,
   Damien/LJM-5282-2024; Fedele, Giacomo/AAP-4308-2020
OI Delforge, Damien/0000-0002-3552-9444; /0000-0001-5266-0201
FX Acknowledgements Camila I. Donatti was supported by a gift provided by
   Betty and Gordon Moore. We would like to thank Patrick Roehrdanz and
   Gabriel Daldegan for their assistance with data analysis and mapping and
   2 anonymous reviewers for their suggestions that helped improve the
   manuscript.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adhikari S, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5030042
   Alice C., 2021, Nature, V595, P9
   [Anonymous], 2013, A Report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics
   [Anonymous], 2019, Adapt Now: A Global Call for Leadership on Climate Resilience
   [Anonymous], 2018, Global Warming of 1.5C. An IPCC Special Report on the impacts of
   Badola R, 2005, ENVIRON CONSERV, V32, P85, DOI 10.1017/S0376892905001967
   Binskin M., 2020, Report, P549
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chazdon R, 2019, SCIENCE, V365, P24, DOI 10.1126/science.aax9539
   Delforge D., 2023, Res. Square, DOI [10.21203/rs.3.rs-3807553/v1, DOI 10.21203/RS.3.RS-3807553/V1]
   Fedele G, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102368
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gall M, 2015, INT J GLOBAL WARM, V8, P170, DOI 10.1504/IJGW.2015.071966
   Gall M, 2009, B AM METEOROL SOC, V90, P799, DOI 10.1175/2008BAMS2721.1
   Green HK, 2019, INT J DISAST RISK SC, V10, P449, DOI 10.1007/s13753-019-00237-x
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Harrington LJ, 2020, NAT CLIM CHANGE, V10, P796, DOI 10.1038/s41558-020-0851-8
   Hua FY, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12717
   Integrated Research on Disaster Risk, 2014, IRDR DATA Publication, V1
   IOM, 2023, East and Horn of Africa Drought Response Overview
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jay A.K., 2023, Fifth National Climate Assessment, DOI [DOI 10.7930/NCA5.2023.CH1, https://doi.org/10.7930/NCA5.2023.CH1]
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jones RL, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01667-x
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kron W, 2012, NAT HAZARD EARTH SYS, V12, P535, DOI 10.5194/nhess-12-535-2012
   Kupika OL, 2019, SCIENTIFICA, V2019, DOI 10.1155/2019/3069254
   Mazhin SA, 2021, J EDUC HEALTH PROMOT, V10, DOI 10.4103/jehp.jehp_1525_20
   McElwee P, 2017, FORESTS, V8, DOI 10.3390/f8010011
   Mendoza E, 2017, J COASTAL RES, P19, DOI 10.2112/SI77-003.1
   Mora-Garcia C, 2020, INT J CONSERV SCI, V11, P199
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Osano PM, 2013, INT J CLIM CHANG STR, V5, P198, DOI 10.1108/17568691311327596
   Osuteye E, 2017, INT J DISAST RISK RE, V26, P24, DOI 10.1016/j.ijdrr.2017.09.026
   Panwar V., 2020, Economics of Disasters and Climate Change, V4, P295, DOI [DOI 10.1007/S41885-019-00052-0, https://doi.org/10.1007/s41885-019-00052-0]
   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]
   Reguero BG, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192132
   Roser M, 2014, Our World in Data
   Seddon N, 2021, GLOBAL CHANGE BIOL, V27, P1518, DOI 10.1111/gcb.15513
   Smith P, 2019, ANNU REV ENV RESOUR, V44, P255, DOI 10.1146/annurev-environ-101718-033129
   UNDP, 2022, Human Development Report 2021/2022: Technical notes
   UNDP, 2019, Human Development Report 2019
   UNDP (United Nations Development Programme), 2020, Human Development Report 2020: The Next Frontier: Human Development and the Anthropocene
   UNDRR, 2020, The Human Cost of Disasters: an Overview of the Last 20 Years-2000-2019
   UNEA, 2022, 5 SESS UN ENV ASS
   UNEP, 2023, The Adaptation Gap Report: Underfinanced. Underprepared-Inadequate investment and planning on climate adaptation leaves the world exposed
   United Nations, 2015, No.A/RES/70/1.
   Walton MEM, 2006, ENVIRON CONSERV, V33, P335, DOI 10.1017/S0376892906003341
   Watson JEM, 2018, NAT ECOL EVOL, V2, P599, DOI 10.1038/s41559-018-0490-x
   Wirtz A, 2014, NAT HAZARDS, V70, P135, DOI 10.1007/s11069-012-0312-4
   Woldie BA, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-018-0157-1
   World meteorological organization, Atlas of mortality and economic losses from weather, Climate and Water Extremes (2021) 1970-2019
NR 55
TC 8
Z9 8
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD JUN 15
PY 2024
VL 108
AR 104488
DI 10.1016/j.ijdrr.2024.104488
EA MAY 2024
PG 18
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA C5T9G
UT WOS:001290000500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Rezaie, AM
   Haque, A
AF Rezaie, Ali Mohammad
   Haque, Anisul
TI Development of Storm Surge Inundation Model and Database for Enhanced
   Climate Services in Bangladesh
SO FRONTIERS IN WATER
LA English
DT Article
DE storm surge; coastal modeling; inundation database; Bangladesh; climate
   services; Delft3D
ID SEA-LEVEL RISE; NORTHERN BAY; DRAG COEFFICIENT; NUMERICAL-SIMULATION;
   PREDICTION MODEL; WIND; CYCLONES; BENGAL; IMPACTS; SURFACE
AB Bangladesh's vulnerability to storm surge and success in reducing their impacts on the coastal communities are well-known. However, global warming is expected to increase both the frequency and the intensity of tropical cyclones. Also, the country still lacks in good quality data and information that can offer enhanced services to effectively design coastal defense systems and adapt to climate changes. This study developed a storm surge inundation model and database using the available tropical cyclones' database and simulated inundation for the past 31 cyclones in the Bay of Bengal, near the coastal regions of Bangladesh. The model uses a suite of Delft3D hydrodynamic and Delft Dashboard cyclone models. The model was calibrated and validated for two major cyclones, namely Sidr and Aila, using the available data for different bed roughness, track sources, and wind drag coefficient conditions. The results suggested that spatially varying bed roughness and wind varying drag conditions provide a more reliable prediction of inundation over the coast. The results also show that historical track data from Indian Meteorological Department optimize the model performances. The inundation database indicates that depending on the intensity and location, tropical cyclones can cause the maximum inundation of 1-5 m in the coastal lands of Bangladesh. More than 70% of the storms lead to the maximum inundation of more than 2 m, and about 25 and 7% of the storms can cause the maximum inundation of more than 3 and 4 m, respectively. The study also discusses the potential applications and shares insights on the implications of the inundation database that can offer improved information for enhanced climate services in Bangladesh. The database can be advanced with information about sectoral loss and damage as well as citizen science that will not only provide necessary information to design coastal protection structures and emergency measurements but also contribute to build long-term climate adaptation plans in the data-scarce region.
C1 [Rezaie, Ali Mohammad] Univ Asia Pacific, Dept Civil Engn, Dhaka, Bangladesh.
   [Haque, Anisul] Bangladesh Univ Engn & Technol, Inst Water & Flood Management, Dhaka, Bangladesh.
C3 University of Asia Pacific (UAP); Bangladesh University of Engineering &
   Technology (BUET)
RP Rezaie, AM (corresponding author), Univ Asia Pacific, Dept Civil Engn, Dhaka, Bangladesh.
EM rezaie06buet@gmail.com
OI Rezaie, Ali/0000-0001-5583-6268; Haque, Bazle/0000-0002-0836-3864
FU ESPA Deltas project [NEJ0027551]
FX The authors acknowledge the research support from the ESPA Deltas
   project (Grant reference code: NEJ0027551). In addition, the authors
   express their sincere gratitude to the members of Delta modeling
   research team for their kind support in data collection and model
   development.
CR Ahsan MN, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2020.100065
   Al Azad ASMA, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6040110
   Ali A, 1996, WATER AIR SOIL POLL, V92, P171
   Ali A, 1999, CLIMATE RES, V12, P109, DOI 10.3354/cr012109
   Anisul Haque Anisul Haque, 2016, International Journal of Environmental Science and Development, V7, P22, DOI 10.7763/IJESD.2016.V7.735
   [Anonymous], 2014, Bangladesh Bureau of Statistics, V2, P163
   [Anonymous], 2009, BANGLADESH CLIMATE C
   BISR, 2009, TSUN STROM SURG INUN
   Biswas NK, 2020, J HYDROINFORM, V22, P1672, DOI 10.2166/hydro.2020.202
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   Brecht H, 2012, J ENVIRON DEV, V21, P120, DOI 10.1177/1070496511433601
   Chang TY, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.749185
   Chowdhury J.U., 2004, TEACHERBUETACBD 3398
   Clifford KR, 2020, CLIM SERV, V18, DOI 10.1016/j.cliser.2020.100155
   Condon Andrew., 2012, Oceans 2012, P1, DOI [10.1109/OCEANS.2012.6404834, DOI 10.1109/OCEANS.2012.6404834]
   Cullmann J., 2020, State of Climate Services: Risk Information and Early Warning Systems
   DAS PK, 1972, NATURE, V239, P211, DOI 10.1038/239211a0
   Dasgupta S., 2010, 5280 WPS
   Dasgupta S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0214079
   Dasgupta S, 2014, CLIM DEV, V6, P96, DOI 10.1080/17565529.2013.868335
   Deb M, 2018, J FLOOD RISK MANAG, V11, pS750, DOI 10.1111/jfr3.12254
   Debsarma S.K., 2002, MAR GEOD
   Debsarma S.K., 2014, MONITORING PREDICTIO, DOI [10.1007/978-94-007-7720-0_23, DOI 10.1007/978-94-007-7720-0_23]
   Deltares, 2014, DELFT3D FLOW US MAN
   Deltares, 2014, WIND ENH SCHEM CYCL
   DUBE SK, 1985, DYNAM ATMOS OCEANS, V9, P121, DOI 10.1016/0377-0265(85)90002-8
   ESPA, 2012, ASS HLTH LIV EC SERV
   FLATHER RA, 1994, J PHYS OCEANOGR, V24, P172, DOI 10.1175/1520-0485(1994)024<0172:ASSPMF>2.0.CO;2
   GARRATT JR, 1977, MON WEATHER REV, V105, P915, DOI 10.1175/1520-0493(1977)105<0915:RODCOO>2.0.CO;2
   Hadi T, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100179
   Haque A, 2016, INT J DISAST RISK SC, V7, P312, DOI 10.1007/s13753-016-0100-y
   Haque U, 2012, B WORLD HEALTH ORGAN, V90, P150, DOI 10.2471/BLT.11.088302
   Hewitt CD, 2021, B AM METEOROL SOC, V102, pE578, DOI 10.1175/BAMS-D-20-0103.1
   HOLLAND GJ, 1980, MON WEATHER REV, V108, P1212, DOI 10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
   Holland G, 2008, MON WEATHER REV, V136, P3432, DOI 10.1175/2008MWR2395.1
   Hsiao SC, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8030217
   Iftekhar M. S., 2004, Journal of Coastal Conservation, V10, P139, DOI 10.1007/BF02818950
   Jisan MA, 2018, NAT HAZARD EARTH SYS, V18, P351, DOI 10.5194/nhess-18-351-2018
   JOHNS B, 1980, Q J ROY METEOR SOC, V106, P1, DOI 10.1002/qj.49710644702
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Khan J.U., 2021, NAT HAZARD EARTH SYS, DOI [10.5194/nhess-2021-329, DOI 10.5194/NHESS-2021-320]
   Khan MJU, 2021, NAT HAZARD EARTH SYS, V21, P2523, DOI 10.5194/nhess-21-2523-2021
   Kim KO, 2008, OCEAN MODEL, V25, P132, DOI 10.1016/j.ocemod.2008.07.001
   Kurian NP, 2009, NAT HAZARDS, V48, P259, DOI 10.1007/s11069-008-9260-4
   Lewis M, 2013, Q J ROY METEOR SOC, V139, P358, DOI 10.1002/qj.2040
   Madsen H, 2004, COAST ENG, V51, P277, DOI 10.1016/j.coastaleng.2004.03.001
   Mamnun N, 2020, TROP CYCLONE RES REV, V9, P117, DOI 10.1016/j.tcrr.2020.04.002
   Mashriqui HS, 2006, WIT TRANS ECOL ENVIR, V88, P397, DOI 10.2495/CENV060381
   Matin Naila, 2020, IOP Conference Series: Earth and Environmental Science, V527, DOI 10.1088/1755-1315/527/1/012013
   Matsumoto K., 2000, J Oceanogr, V56, P567, DOI DOI 10.1023/A:1011157212596
   MoEFCC, 2018, 3 NAT COMM BANGL UN
   MURTY TS, 1986, PROG OCEANOGR, V16, P195, DOI 10.1016/0079-6611(86)90039-X
   Needham H., 2011, Storm Surge: Physical Processes and an Impact Scale, Recent Hurricane Research - Climate, Dynamics, and Societal
   Paszkowski A, 2021, NAT REV EARTH ENV, V2, P763, DOI 10.1038/s43017-021-00213-4
   Paul S., 2021, SAF EXTREM ENV, V3, P219, DOI [10.1007/s42797-021-00044-y, DOI 10.1007/S42797-021-00044-Y]
   Peng SQ, 2015, SCI REP-UK, V5, DOI 10.1038/srep15496
   Peng SQ, 2013, J ATMOS OCEAN TECH, V30, P590, DOI 10.1175/JTECH-D-12-00034.1
   Rahman MM., 2011, INT J MATH MODEL COM, V1, P77
   Rao Y R., 1997, Mausam, V48, P555, DOI [DOI 10.54302/MAUSAM.V48I4.4322, 10.54302/mausam.v48i4.4322]
   Rezaie A.M., 2014, P 2 INT C CIVIL ENG, P14
   Rezaie AM, 2019, EXTREME HYDROCLIMATIC EVENTS AND MULTIVARIATE HAZARDS IN A CHANGING ENVIRONMENT: A REMOTE SENSING APPROACH, P317, DOI 10.1016/B978-0-12-814899-0.00013-4
   Rezaie AM., 2013, Advances in River Sediment Research, P2173
   Sakib M., 2015, WORLD J ENG TECHNOLO, V3, P59, DOI DOI 10.4236/WJET.2015.33C009
   Sao N.T., 2008, Journal of Water Resources and Environmental Engineering, V23, P39
   Sarkar N.C., 2012, GANIT J. Bangladesh Math. Soc, V32, P43, DOI DOI 10.3329/GANIT.V32I0.13645
   SMITH SD, 1975, Q J ROY METEOR SOC, V101, P665, DOI 10.1002/qj.49710142920
   Srinivasan G, 2019, MAUSAM, V70, P725
   Tanim AH, 2021, J HYDROL, V595, DOI 10.1016/j.jhydrol.2020.125670
   Tanim AH, 2019, P I CIVIL ENG-MAR EN, V172, P73, DOI 10.1680/jmaen.2019.1
   The Government of Bangladesh The Government of Bangladesh The Government of Bangladesh The Government of Bangladesh, CYCL SIDR BANGL DAM
   Uddin A.M.K., 2003, Delineation of The Coastal Zone
   van Ormondt M, 2020, J HYDROINFORM, V22, P510, DOI 10.2166/hydro.2020.092
   Vatvani D, 2012, NAT HAZARD EARTH SYS, V12, P2399, DOI 10.5194/nhess-12-2399-2012
   Weatherall P, 2015, EARTH SPACE SCI, V2, P331, DOI 10.1002/2015EA000107
   WMO, 2022, WORLDS DEADL TROP CY
   WU J, 1982, J GEOPHYS RES-OCEANS, V87, P9704, DOI 10.1029/JC087iC12p09704
   Yu YC, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10060346
   Zaman S., 2020, PROG DISASTER SCI, V8, P100131, DOI [10.1016/j.pdisas.2020.100131, DOI 10.1016/J.PDISAS.2020.100131]
   Zeng ZH, 2010, ADV ATMOS SCI, V27, P337, DOI 10.1007/s00376-009-8209-1
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JI Front. Water
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AR 887631
DI 10.3389/frwa.2022.887631
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GA 3C0XU
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OA gold
DA 2025-01-10
ER

PT J
AU Tirivangasi, HM
   Kontinen, T
AF Tirivangasi, Happy Mathew
   Kontinen, Tiina
TI An Afrocentric approach to climate change adaptation: indigenous
   seasonal predictors among Ndau people in Chimanimani in Zimbabwe
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article; Early Access
DE Indigenous knowledge; Climate information; Weather foresting; Seasonal
   predictors; Afrocentricity; Climate change adaptation; Africa
ID SOUTH-AFRICA; KNOWLEDGE; FARMERS
AB PurposeThe effectiveness of scientific seasonal weather forecasts as a tool to help rural communities in Zimbabwe make decisions is under continuous debate. This persists due to rural communities' ongoing difficulty accessing scientific weather forecasts, early warning systems and remote sensing technologies. As a result, rural people continue to rely on the repository of their indigenous knowledge systems for decision-making, seasonal prediction tools and weather change measurement. This study employs Afrocentric lenses to explore the indigenous seasonal predictors used in rural Zimbabwe to forecast seasonal changes and weather patterns, as well as the climatic variations that these predictors can explain.Design/methodology/approachThe study employed Afrocentric data generation tools such as transect walks and talking cycles. Thematic content analysis was used to analyze data.FindingsThe study identifies indigenous practices of naming months, typologizing rainfalls and weather forecasting based on fauna and flora, and discusses how climate change has been perceived by drawing on these practices. Moreover, the seasonal predictors were closely intertwined with food production and overall resilience in the face of changing climate. The paper concludes that both research and practical support for climate resilience should start with indigenous ideas and practices related to responding to changing climate conditions, along with scientific meteorological knowledge.Originality/valueThis study underscores the importance of Indigenous knowledge in addressing climate risks. It emphasizes the value of indigenous weather predictions, which predate modern weather stations and have long benefited rural communities. Integrating this knowledge into adaptation policies and practices can lead to more effective and resilient responses to climate change.
C1 [Tirivangasi, Happy Mathew; Kontinen, Tiina] Univ Jyvaskyla, Fac Humanities & Social Sci, Dept Social Sci & Philosophy, Jyvaskyla, Finland.
C3 University of Jyvaskyla
RP Tirivangasi, HM (corresponding author), Univ Jyvaskyla, Fac Humanities & Social Sci, Dept Social Sci & Philosophy, Jyvaskyla, Finland.
EM happy.m.tirivangasi@jyu.fi; tiina.t.kontinen@jyu.fi
RI Kontinen, Tiina/L-8235-2019
CR Adeleke Tunde., 2015, Advances in Historical Studies, V4, DOI [10.4236/ahs.2015.43016, DOI 10.4236/AHS.2015.43016]
   Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   Ankrah DA, 2022, AFR J SCI TECHNOL IN, V14, P1007, DOI 10.1080/20421338.2021.1923394
   Apraku A, 2021, SCI AFR, V12, DOI 10.1016/j.sciaf.2021.e00821
   Asante M.K., 2003, Afrocentricity: The theory of social change
   Asante M.K., 1980, Afrocentricity
   Asante MolefiKete., 1998, AFROCENTRIC IDEA
   Ayugi B, 2022, PURE APPL GEOPHYS, V179, P1365, DOI 10.1007/s00024-022-02988-z
   BERKES F., 2017, Sacred ecology, V4th, DOI DOI 10.4324/9781315114644
   Braun V., 2012, SAGE HDB QUALITATIVE, P57, DOI [https://doi.org/10.1037/13620-004, DOI 10.1037/13620-004, 10.1007/978-981-10-5251-4_103, DOI 10.4135/9781526405555, 10.1037/13620-004]
   Braun V, 2021, COUNS PSYCHOTHER RES, V21, P37, DOI 10.1002/capr.12360
   Chanza N., 2017, Limits to Climate Change Adaptation, P109
   Chingombe W, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073773
   Conyers JL, 2004, J BLACK STUD, V34, P640, DOI 10.1177/0021934703259257
   Department of Civil Protection, 2013, Disaster Risk Management
   Gautam Y, 2017, MT RES DEV, V37, P436, DOI 10.1659/MRD-JOURNAL-D-17-00035.1
   Government of Zimbabwe, 2016, Zimbabwe's National Climate Change Response Strategy
   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
   Kaya H.O., 2016, Journal of Social Sciences, V46, P130, DOI [10.1080/09718923.2016.11893520, DOI 10.1080/09718923.2016.11893520]
   Filho WL, 2022, ENVIRON SCI POLICY, V136, P250, DOI 10.1016/j.envsci.2022.06.004
   Mafongoya O., 2021, The Oriental Anthropologist, V21, P195, DOI [10.1177/0972558x21997662, DOI 10.1177/0972558X21997662]
   Makuvaro V, 2023, WEATHER CLIM SOC, V15, P109, DOI 10.1175/WCAS-D-22-0016.1
   Manatsa D, 2012, SCI WORLD J, DOI 10.1100/2012/926310
   Mapfumo P, 2016, CLIM DEV, V8, P72, DOI 10.1080/17565529.2014.998604
   Matarira D, 2021, S AFR GEOGR J, V103, P183, DOI 10.1080/03736245.2020.1717588
   Mthembu N., 2021, Ethical Research Approaches to Indigenous Knowledge Education, P127
   Mugambiwa S.S., 2023, International Journal of Development and Sustainability, V12, P238
   Musakwa W, 2020, LAND-BASEL, V9, DOI 10.3390/land9110399
   Mushimbei M, 2023, INT J BIOMETEOROL, V67, P253, DOI 10.1007/s00484-022-02402-2
   Mutandwa E, 2019, INT J SOC ECON, V46, P850, DOI 10.1108/IJSE-12-2018-0654
   Nakashima D, 2018, INDIGENOUS KNOWLEDGE FOR CLIMATE CHANGE ASSESSMENT AND ADAPTATION, P1, DOI 10.1017/9781316481066
   Ndlovu E, 2020, JAMBA-J DISASTER RIS, V12, DOI 10.4102/jamba.v12i1.742
   Nyahunda L., 2017, African Journal for Physical Activity and Health Sciences, V23, P431
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Paparrizos S, 2023, SCI TOTAL ENVIRON, V899, DOI 10.1016/j.scitotenv.2023.165539
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Pellerin M., 2012, J PAN AFRICAN STUDIE, V5, P149
   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-Castillo A, 2017, CLIMATIC CHANGE, V140, P1, DOI 10.1007/s10584-016-1873-0
   Scholes R., 2021, Climate Impacts in Southern Africa during the 21st Century
   Shukla PR, 2019, 2019: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems
   Siders AR, 2021, CURR OPIN ENV SUST, V52, P1, DOI 10.1016/j.cosust.2021.03.017
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Tirivangasi H. M., 2017, Journal of Human Ecology, V57, P118, DOI 10.1080/09709274.2017.1305637
   Tirivangasi HM, 2024, SUSTAIN DEV, DOI 10.1002/sd.3231
   Wily LA, 2018, J AFR LAW, V62, P77, DOI 10.1017/S0021855318000050
   Zuma-Netshiukhwi G, 2013, ATMOSPHERE-BASEL, V4, P383, DOI 10.3390/atmos4040383
   Zvobgo L., 2023, Indigenous and local knowledge in the vulnerability of smallholder farmers to climate variability and change in Chiredzi, Zimbabwe, DOI [10.2139/ssrn.4525625, DOI 10.2139/SSRN.4525625]
   Zvobgo L, 2022, SUSTAIN SCI, V17, P2077, DOI 10.1007/s11625-022-01118-x
NR 50
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PU EMERALD GROUP PUBLISHING LTD
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PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
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SN 0965-3562
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J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PD 2024 DEC 24
PY 2024
DI 10.1108/DPM-05-2024-0130
EA DEC 2024
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WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
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DA 2025-01-10
ER

PT J
AU Hirschfeld, D
   Archie, KM
   Mateo, E
   Arnott, JC
   Vano, JA
AF Hirschfeld, D.
   Archie, K. M.
   Mateo, E.
   Arnott, J. C.
   Vano, J. A.
TI Practitioners' Needs for Addressing the Challenges of Sea-Level Rise-A
   Qualitative Assessment
SO EARTHS FUTURE
LA English
DT Article
DE sea-level rise; climate change adaptation; usable science; decision
   support; resilience; science-policy interface
ID CLIMATE-CHANGE ADAPTATION; OVERCOMING BARRIERS; DECISION-ANALYSIS;
   INFORMATION; INFRASTRUCTURE; VULNERABILITY; PERSPECTIVES; COMMUNITIES;
   RESILIENCE
AB Practitioners at the local and regional scale are under increased pressure to reduce risks to people and property posed by the threats of sea-level rise (SLR) and associated impacts. To achieve this, a dialog between practitioners and scientists is imperative. Current research documents impacts of SLR, evaluates local SLR adaptation activities, identifies barriers to action, and works to assess local adaptive capacity. Despite this work, there has been little qualitative assessment of practitioners' needs when it comes to translating SLR science into local changes. To fill this gap, we used a combination of semi-structured interviews and surveys. The interviews revealed practitioners' needs, the tools they use, the challenges they face, and the contexts in which they make decisions. The survey allowed practitioners to rank potential interventions according to the level of impact they believed it would have on coastal adaptation planning. In total our study includes the perspectives of 142 practitioners from 24 states, Puerto Rico, the Mariana Islands, and Barbados. Corroborating earlier work, we find that resources broadly and funding specifically is the largest barrier faced by practitioners. We find that practitioners need more localized information and models supported by on the ground monitoring, decision support resources that allow for comparison of different scenarios, and communication tools that will enable them to engage with key audiences. These needs suggest a critical shift toward building trusted relationship between scientists and local practitioners and the need to bolster organizations that can support a bridge between these two contexts.
C1 [Hirschfeld, D.] Utah State Univ, Landscape Architecture & Environm Planning, Logan, UT 84322 USA.
   [Archie, K. M.; Mateo, E.; Arnott, J. C.; Vano, J. A.] Aspen Global Change Inst, Basalt, CO USA.
   [Archie, K. M.] Victoria Univ Wellington, Climate Change Res Inst, Wellington, New Zealand.
   [Mateo, E.] Pacific Inst, Oakland, CA USA.
   [Arnott, J. C.] Univ Michigan, Water Ctr, Ann Arbor, MI USA.
C3 Utah System of Higher Education; Utah State University; Victoria
   University Wellington; University of Michigan System; University of
   Michigan
RP Hirschfeld, D (corresponding author), Utah State Univ, Landscape Architecture & Environm Planning, Logan, UT 84322 USA.
EM daniella.hirschfeld@usu.edu
FU NASA;  [80NSSC22K0201]
FX Many practitioners in the United States and territories engaged deeply
   with us in phase 1, the semi-structured interviews. We would like to
   thank them for taking time out of their busy schedules to support this
   project. This work was supported by NASA under award No 80NSSC22K0201.
CR Adams-Schoen SarahJ, 2018, Beyond localism: Harnessing state adaptation lawmaking to facilitate local climate resilience, V8, P61
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2009, INFORMING DECISIONS
   Archie KM, 2018, ENVIRON DEV, V28, P19, DOI 10.1016/j.envdev.2018.09.003
   Archie KM, 2014, J ENVIRON MANAGE, V133, P397, DOI 10.1016/j.jenvman.2013.12.015
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Arnott JC, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.101979
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Bell T, 2010, INT J SCI EDUC, V32, P349, DOI 10.1080/09500690802582241
   Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Bindoff N.L., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changingn Climate, P142
   Bronen R., 2013, Climateinduced displacement of native communities
   Buchanan MK, 2019, WEATHER CLIM SOC, V11, P809, DOI 10.1175/WCAS-D-18-0082.1
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Carter JG, 2011, CURR OPIN ENV SUST, V3, P193, DOI 10.1016/j.cosust.2010.12.015
   Chen Xinyue, 2023, Proceedings of the ACM on Human-Computer Interaction, DOI 10.1145/3610196
   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
   Debele SE, 2023, SCI TOTAL ENVIRON, V902, DOI 10.1016/j.scitotenv.2023.165824
   Dokka RK, 2011, J GEOPHYS RES-SOL EA, V116, DOI 10.1029/2010JB008008
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   ESRI, 2023, ArcGIS Pro Software
   Esteban M, 2020, MARIT POLICY MANAG, V47, P937, DOI 10.1080/03088839.2019.1634845
   Evans E., 2004, Foresight. Future Flooding. Executive Summary
   Evans E., 2004, Foresight. Future Flooding. Scientific Summary: Volume 2- Managing future risks, V2
   Feagin RA, 2021, ONE EARTH, V4, P1361, DOI 10.1016/j.oneear.2021.10.003
   Findlater K, 2021, NAT CLIM CHANGE, V11, P731, DOI 10.1038/s41558-021-01125-3
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Fu XY, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102717
   Fu XY, 2019, CLIMATIC CHANGE, V155, P393, DOI 10.1007/s10584-019-02488-5
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Garner AJ, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF003187
   Geraldini S, 2021, WATER-SUI, V13, DOI 10.3390/w13010092
   Goodman LA, 2011, SOCIOL METHODOL, V41, P347, DOI 10.1111/j.1467-9531.2011.01242.x
   Griggs G, 2017, COASTS IN CRISIS: A GLOBAL CHALLENGE, P1
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hewitt CD, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100240
   Hill K, 2023, EARTHS FUTURE, V11, DOI 10.1029/2023EF003825
   Hinkel J, 2019, EARTHS FUTURE, V7, P320, DOI 10.1029/2018EF001071
   Hirschfeld D., 2024, SLR practitioner needs Dataset, DOI [10.26078/r8z2-rp48, DOI 10.26078/R8Z2-RP48]
   Hirschfeld D, 2024, CLIM SERV, V34, DOI 10.1016/j.cliser.2024.100452
   Hirschfeld D, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00703-x
   Hirschfeld D, 2022, CLIM SERV, V28, DOI 10.1016/j.cliser.2022.100332
   Hirschfeld D, 2021, COAST MANAGE, V49, P636, DOI 10.1080/08920753.2021.1967563
   Hirschfeld D, 2020, ENVIRON SCI POLICY, V112, P36, DOI 10.1016/j.envsci.2020.05.019
   Horton R, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032486
   Jacobs KL, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100199
   Jones RN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P195
   Kemp AC, 2011, P NATL ACAD SCI USA, V108, P11017, DOI 10.1073/pnas.1015619108
   Khojasteh D, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00920-4
   Kiger ME, 2020, MED TEACH, V42, P846, DOI 10.1080/0142159X.2020.1755030
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kleindorfer P.R., 1993, Decision Sciences: An Integrative Perspective
   Kopp RE, 2019, EARTHS FUTURE, V7, P1235, DOI 10.1029/2018EF001145
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   La Peyre MK, 2022, ECOL ENG, V178, DOI 10.1016/j.ecoleng.2022.106603
   Le Cozannet G, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5040049
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Madsen KS, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00081
   Marchau V.A. W. J., 2019, Decision making under deep uncertainty: From theory to practice, P1, DOI [DOI 10.1007/978-3-030-05252-2_1, DOI 10.1007/978-3-030-05252-2]
   Marino E, 2018, GLOBAL ENVIRON CHANG, V49, P10, DOI 10.1016/j.gloenvcha.2018.01.002
   Martinich J, 2013, MITIG ADAPT STRAT GL, V18, P169, DOI 10.1007/s11027-011-9356-0
   May C. L., 2023, Fifth national climate assessment, DOI [10.7930/NCA5.2023.CH9, DOI 10.7930/NCA5.2023.CH9]
   McEvoy S, 2021, OCEAN COAST MANAGE, V203, DOI 10.1016/j.ocecoaman.2020.105512
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Microsoft, 2024, Microsoft excel Software
   NASA, 2023, Interagency sea level rise scenario tool
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Ng AKY, 2018, COAST MANAGE, V46, P148, DOI 10.1080/08920753.2018.1451731
   Nicholls RJ, 2011, OCEANOGRAPHY, V24, P144, DOI 10.5670/oceanog.2011.34
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   NOAA, 2002, 2022 sea level rise technical report: Data
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   Nursey-Bray M, 2016, REG ENVIRON CHANGE, V16, P733, DOI 10.1007/s10113-015-0779-0
   NurseyBray M., 2013, Global challenges in integrated coastal zone management, DOI [10.1002/9781118496480.ch17, DOI 10.1002/9781118496480.CH17]
   Orlove B, 2020, ANNU REV ENV RESOUR, V45, P271, DOI 10.1146/annurev-environ-012320-085130
   Otter.AI automated technology, 2023, Otter.AI automated technology
   PenningRowsell E., 2023, Codesign of climate services: Decision mapping
   ReillyMoman D. J., 2023, Understanding the effectiveness of coastal naturebased solutions: Practitionerbased learning
   Ruckelshaus M, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101795
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Sheng YZ, 2021, SCI TOTAL ENVIRON, V761, DOI 10.1016/j.scitotenv.2020.143303
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shi LD, 2015, J AM PLANN ASSOC, V81, P191, DOI 10.1080/01944363.2015.1074526
   Simpson M, 2016, ANNU REV ENV RESOUR, V41, P489, DOI 10.1146/annurev-environ-110615-090011
   Smith CS, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00434
   Stammer D, 2019, EARTHS FUTURE, V7, P923, DOI 10.1029/2019EF001163
   Stults M, 2017, MITIG ADAPT STRAT GL, V22, P1249, DOI 10.1007/s11027-016-9725-9
   Sutton-Grier AE, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020523
   Sutton-Grier AE, 2015, ENVIRON SCI POLICY, V51, P137, DOI 10.1016/j.envsci.2015.04.006
   [Anonymous], 2010, SAGE HDB MIXED METHO, V2nd
   Tashakkori A., 2021, FDN MIXED METHODS RE
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Tongco M. D. C., 2007, Ethnobotany Research and Applications, V5, P147
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   US EPA, 2018, EPA regions Dataset. Data and Tools
   Valle-Levinson A, 2017, GEOPHYS RES LETT, V44, P7876, DOI 10.1002/2017GL073926
   van de Wal RSW, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002751
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   Wahl T, 2015, NAT CLIM CHANGE, V5, P1093, DOI [10.1038/nclimate2736, 10.1038/NCLIMATE2736]
   Warner SD, 2023, REMEDIATION, V33, P187, DOI 10.1002/rem.21753
   Wenger-Trayner E., 2002, Cultivating communities of practice: a guide to managing knowledge
   Wong-Parodi G, 2017, WEATHER CLIM SOC, V9, P183, DOI 10.1175/WCAS-D-16-0042.1
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
   Woodruff SC, 2018, ENVIRON SCI POLICY, V84, P60, DOI 10.1016/j.envsci.2018.03.002
NR 108
TC 0
Z9 0
U1 1
U2 1
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 NOV
PY 2024
VL 12
IS 11
AR e2024EF004717
DI 10.1029/2024EF004717
PG 17
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA O3A6G
UT WOS:001369902000001
PM 39582956
OA gold
DA 2025-01-10
ER

PT J
AU Pedersen, JST
   Dias, LF
   Kok, K
   van Vuuren, D
   Soares, PMM
   Santos, FD
   Azevedo, JC
AF Pedersen, Jiesper Strandsbjerg Tristan
   Dias, Luis Filipe
   Kok, Kasper
   van Vuuren, Detlef
   Soares, Pedro M. M.
   Santos, Filipe Duarte
   Azevedo, Joao C.
TI Increased policy ambition is needed to avoid the effects of climate
   change and reach carbon removal targets in Portugal
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change targets; Forest policy; Climate-induced fires; Carbon
   sequestration; National scenario extensions; RCP-SPA-SSP scenario
   framework
ID SCENARIOS; SYSTEMS; STELLA
AB The Paris Agreement's goal of limiting global warming hinges on forest carbon sequestration as a key in several national strategies. However, Portugal's rising forest fire occurrences threaten its ability to meet ambitious 2030 and 2050 carbon sequestration targets. Considering fire and forest trends, this study aims to quantify whether Portugal can reach its carbon sequestration ambitions as stated in its 2030 and 2050 targets. We tested three national forest scenario extensions of the global Shared Socioeconomic Pathways (SSPs) and Shared Policy Assumptions (SPAs) based on a dynamic model, simulating forest area and carbon sequestration related to future fire risk and policies of fire management, forest management, restoration of burnt areas, and climate change adaptation. The model projects a rapidly decreasing forest area under existing Portuguese policies (PT-SSP3), a slow decline under moderate policy improvements (PT-SSP2), and an almost stable forest area under long-term sustainable policy developments (PT-SSP1). In PT-SSP3, carbon sequestration will be reduced to 60% by 2050 compared to 2015, while it declines to about 85% and 90% under PT-SSP2 and PT-SSP1, respectively. It is still plausible to reach Portugal's 2030 sequestration obligations under the EU's Paris Agreement target under all three scenarios, while the Portuguese GHG neutrality target is not reached in the presented scenarios. Our four introduced policy areas (increasing focus on fire and forest management, forest restoration, and climate change adaptation of forest stands) must be supplemented by other policy strategies, such as reforestation.
C1 [Pedersen, Jiesper Strandsbjerg Tristan; Dias, Luis Filipe; Santos, Filipe Duarte] Univ Lisbon, Fac Sci, cE3c Ctr Ecol Evolut & Environm Changes, Bldg C1, Room 38, P-1749016 Lisbon, Portugal.
   [Pedersen, Jiesper Strandsbjerg Tristan; Dias, Luis Filipe; Santos, Filipe Duarte] Univ Lisbon, Change Global Change & Sustainabil Inst, Fac Sci, Bldg C1, Room 38, P-1749016 Lisbon, Portugal.
   [Pedersen, Jiesper Strandsbjerg Tristan; van Vuuren, Detlef] Univ Utrecht, Copernicus Inst Sustainable Dev, Geosci, Environm Sci, Utrecht, Netherlands.
   [Kok, Kasper] Wageningen Univ, Earth Syst & Global Change Grp, Wageningen, Netherlands.
   [van Vuuren, Detlef] PBL Netherlands Environm Assessment Agcy, Den Hague, Netherlands.
   [Soares, Pedro M. M.] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Lisbon, Portugal.
   [Azevedo, Joao C.] Inst Politecn Braganca, Ctr Invest Montanha CIMO, Campus Santa Apolonia, P-5300253 Braganca, Portugal.
   [Azevedo, Joao C.] Inst Politecn Braganca, Lab Associado Sustentabilidade & Tecnol Regioes Mo, Campus Santa Apolonia, P-5300253 Braganca, Portugal.
C3 Universidade de Lisboa; Universidade de Lisboa; Utrecht University;
   Wageningen University & Research; Universidade de Lisboa; Instituto
   Politecnico de Braganca; Instituto Politecnico de Braganca
RP Pedersen, JST (corresponding author), Univ Lisbon, Fac Sci, cE3c Ctr Ecol Evolut & Environm Changes, Bldg C1, Room 38, P-1749016 Lisbon, Portugal.; Pedersen, JST (corresponding author), Univ Lisbon, Change Global Change & Sustainabil Inst, Fac Sci, Bldg C1, Room 38, P-1749016 Lisbon, Portugal.; Pedersen, JST (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Geosci, Environm Sci, Utrecht, Netherlands.
EM jiespertristan@gmail.com; lfdias@fc.ul.pt
RI Santos, Filipe/M-7709-2013; van Vuuren, Detlef/A-4764-2009; Azevedo,
   Joao/M-4801-2013; Kok, Kenneth/F-3264-2013; Dias, Luís/AAU-5137-2020;
   Pedersen, Jens Olaf Pepke/AAY-7823-2021
OI Pedersen, Jiesper Strandsbjerg Tristan/0000-0002-5217-6433; Antunes
   Dias, Luis Filipe/0000-0001-7899-8075
FU Portuguese Environment Agency; Portuguese Fundacao para a Ciencia e a
   Tecnologia (FCT) I.P./MCTES through national funds (PIDDAC)
   [UIDP/50019/2020, LA/P/0068/2020, UIDB/50019/2020]; EEA Financial
   Mechanism 2014-2021
FX Pedro M.M. Soares would like to acknowledge the financial support
   provided by: the EEA Financial Mechanism 2014-2021 and the Portuguese
   Environment Agency through Predefined Project-2 National Roadmap for
   Adaptation XXI (PDP-2), by the Portuguese Fundacao para a Ciencia e a
   Tecnologia (FCT) I.P./MCTES through national funds (PIDDAC) -
   UIDB/50019/2020 (https://doi.org/10.54499/UIDB/50019/2020),
   UIDP/50019/2020 (https://doi.org/10.54499/UIDP/50019/2020) and
   LA/P/0068/2020 (https://doi.org/10.54499/LA/P/0068/2020).
CR AdR, 2021, Diario da Republica n. o 253/2021, Serie I de 2021-12-31
   AGIF, 2020, National Plan for Integrated Wildfire Management 20202030
   Ameray A, 2018, Climate change mitigation: annual carbon balance accounting and mapping in the national forest ecosystems (continental Portugal)
   [Anonymous], 2022, EUR 31269 EN
   [Anonymous], 2019, Roadmap for Carbon neutrality 2050 (RNC2050) - Long term strategy for carbon neutrality of the Portuguese economy by 2050
   [Anonymous], 2023, UNEP Emissions Gap Report 2023, DOI [10.59117/20.500.11822/43922, DOI 10.59117/20.500.11822/43922]
   [Anonymous], 2015, 6˚Inventario Florestal Nacional (IFN6)
   [Anonymous], 2022, SPREADING WILDFIRE R
   APA, 2020, National Forestry Accounting Plan Portugal 2021-2025
   APA/UNFCCC, 2022, PORTUGUESE NATL INVE
   Arce J.J.C., 2019, 14 SESSION UN FORUM
   Carvalho S, 2020, GLOBAL PLANET CHANGE, V195, DOI 10.1016/j.gloplacha.2020.103328
   CAT, 2022, Countries
   Chen M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00669-x
   Cloke H, 2021, The Conversation
   Costanza R, 2001, ECOL MODEL, V143, P1, DOI 10.1016/S0304-3800(01)00358-1
   Cunha J, 2021, Carbon sequestration scenarios in Portugal: which way to go forward?, DOI [10.1007/s10661-021-09336-z, DOI 10.1007/S10661-021-09336-Z]
   Dhakal S., 2022, IPCC, 2022: climate change 2022: mitigation ofclimate change, contribution ofworkinggroupIIIto thesixthassessmentreport ofthe intergovernmental panelon climate change, DOI DOI 10.1017/9781009157926.004
   Dias LF, 2020, Narrativas E Trajetorias Socioeconomicas (RNA2100)
   EC, 2018, Regulation (EU) 2018/842 of the European Parliament and of the Council of 30 May 2018 on binding annual greenhouse gas emission reductions by Member States from 2021 to 2030 contributing to climate action to meet commitments under the Paris Agreement and
   Eedara BB, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55164-0
   EFFIS, 2023, EFFIS Estimates for European Union
   EFFIS, 2022, Burnt area in European countries [WWW Document]. EFFIS European Fire Database - Total burnt areas
   ESABCC, 2024, Towards EU climate neutrality: progress, policy gaps and opportunities
   ESABCC, 2023, Scientific advice for the determination of an EU-wide 2040 climate target, DOI [10.2800/609405, DOI 10.2800/609405]
   EU, 2020, Submission to the UNFCCC on behalf of the European Union and its Member States on the update of the nationally determined contribution of the European Union and its Member States
   FAO, 2020, Global Forest Resources Assessment 2020: Main Report
   Friedlingstein P, 2023, EARTH SYST SCI DATA, V15, P5301, DOI 10.5194/essd-15-5301-2023
   Fujimori S, 2017, GLOBAL ENVIRON CHANG, V42, P268, DOI 10.1016/j.gloenvcha.2016.06.009
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Gomes Da Costa H., 2020, EUROPEAN WILDFIRE DA, DOI [10.2760/46951, DOI 10.2760/46951]
   GoP, 2020, Resolution of the Council of Ministers No. 49/2020 creating the Landscape Transformation Programme
   GoP, 2014, Council of Ministries Resolution No.6-B/2015
   Grant W.E., 2008, Ecological modeling: a common-sense approach to theory and practice
   IIASA, 2022, IPCC's Sixth Assessment Report (AR6)
   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]
   Jathar G, 2011, Ecology of the Forest Owlet
   Kok K, 2019, REG ENVIRON CHANGE, V19, P643, DOI 10.1007/s10113-018-1400-0
   Kriegler E, 2014, CLIMATIC CHANGE, V122, P401, DOI 10.1007/s10584-013-0971-5
   Marques M, 2020, FOREST POLICY ECON, V111, DOI 10.1016/j.forpol.2019.102049
   Moomaw WR, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00027
   Moreira F, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab541e
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Norris C, 2012, J APPL ECOL, V49, P562, DOI 10.1111/j.1365-2664.2011.02084.x
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   OECD, 2023, Portugal has been the EU country with the highest share of burnt area in the last decades, DOI [10.1787/fb0f682b-en, DOI 10.1787/FB0F682B-EN]
   Oni SK, 2012, CAN WATER RESOUR J, V37, P125, DOI 10.4296/cwrj3702831
   Ouyang Y, 2021, FORESTS, V12, DOI 10.3390/f12050515
   PdR, 2015, Decreto do Presidente da Republica n. o 147 (81-86/2015)
   Pedersen JST, 2021, GLOBAL ENVIRON CHANG, V66, DOI 10.1016/j.gloenvcha.2020.102199
   Pedersen JST., 2023, History of the futures: the evolution, credibility, and policy relevance of the emission scenarios informing the Intergovernmental Panel on Climate Change (IPCC) 19902022
   Pereira H.M., 2009, Ecossistemas e bem-estar humano. Avaliacao para Portugal do Millennium Ecosystem Assessment
   Ramos AM, 2023, ISCIENCE, V26, DOI 10.1016/j.isci.2023.106141
   Reboredo F, 2014, J FORESTRY RES, V25, P249, DOI 10.1007/s11676-014-0456-z
   Rego F, 2021, Analise critica do Sistema de Gestao Integrada de Fogos Rurais e do seu Programa Nacional de Acao, DOI [10.13140/RG.2.2.18220.18563, DOI 10.13140/RG.2.2.18220.18563]
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   RICHMOND B, 1994, SYST DYNAM REV, V10, P135, DOI 10.1002/sdr.4260100204
   Schelhaas M.J., 2020, DATABASE FOREST DIST
   Schleussner CF, 2020, NAT CLIM CHANGE, V10, P272, DOI 10.1038/s41558-020-0729-9
   Smith FP, 2005, AGR SYST, V83, P135, DOI 10.1016/j.agsy.2004.03.004
   Soares PMM, 2022, J HYDROL, V615, DOI 10.1016/j.jhydrol.2022.128731
   The world bank Data, 2020, Forest area (% of land area)-Japan WWW Document
   Timmons DS, 2016, GCB BIOENERGY, V8, P631, DOI 10.1111/gcbb.12276
   Turco M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50281-2
   UNFCCC, 2021, NAT DET CONTR PAR AG
   van Beek L, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102191
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   van Vuuren DP, 2018, NAT CLIM CHANGE, V8, P391, DOI 10.1038/s41558-018-0119-8
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P415, DOI 10.1007/s10584-013-0974-2
   van Vuuren DP, 2010, CLIMATIC CHANGE, V103, P635, DOI 10.1007/s10584-010-9940-4
   Vizzarri M., 2022, CLIMATE SMART FOREST, P507, DOI [10.1007/978-3-030, DOI 10.1007/978-3-030-80767-2_15]
   WB, 2023, Forest area (sq. km) [WWW Document]
   Zurek MB, 2007, TECHNOL FORECAST SOC, V74, P1282, DOI 10.1016/j.techfore.2006.11.005
NR 74
TC 1
Z9 1
U1 2
U2 9
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 2024
VL 24
IS 2
AR 62
DI 10.1007/s10113-024-02217-4
PG 17
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA NM0Y8
UT WOS:001200765300003
OA hybrid
DA 2025-01-10
ER

PT J
AU Castagneri, D
   Vacchiano, G
   Hacket-Pain, A
   DeRose, RJ
   Klein, T
   Bottero, A
AF Castagneri, Daniele
   Vacchiano, Giorgio
   Hacket-Pain, Andrew
   DeRose, R. Justin
   Klein, Tamir
   Bottero, Alessandra
TI Meta-analysis Reveals Different Competition Effects on Tree Growth
   Resistance and Resilience to Drought
SO ECOSYSTEMS
LA English
DT Article
DE climate change adaptation; drought response; forest management;
   meta-analysis; resilience components; review; stand density; tree radial
   growth; tree rings
ID CLIMATE-CHANGE IMPACTS; WATER-USE EFFICIENCY; FOREST MANAGEMENT;
   EUROPEAN BEECH; STAND DENSITY; SENSITIVITY; SITE; TERM; OAK;
   VULNERABILITY
AB Drought will increasingly threaten forest ecosystems worldwide. Understanding how competition influences tree growth response to drought is essential for forest management aiming at climate change adaptation. However, published results from individual case studies are heterogeneous and sometimes contradictory. We reviewed 166 cases from the peer-reviewed literature to assess the influence of stand-level competition on tree growth response to drought. We monitored five indicators of tree growth response: mean sensitivity (inter-annual tree ring width variability); association between inter-annual growth variability and water availability; resistance; recovery; and resilience to drought. Vote counting did not indicate a consistent effect of competition on mean sensitivity. Conversely, higher competition for resources strengthened the association between water availability and inter-annual growth rates. Meta-analysis showed that higher competition reduced resistance (p < 0.001) and improved recovery (p < 0.05), but did not consistently affect resilience. Species, site and stand characteristics, and drought intensity were insignificant or poor predictors for the large variability among the investigated cases. Our review and meta-analysis show that competition does not affect the response of tree growth to drought in a unidirectional and universal way. Although density reduction (thinning) can alleviate growth declines during drought, the effects on growth after stress are uncertain. The large variability among investigated cases suggests that local-scale processes play a crucial role in determining such responses and should be explicitly evaluated and integrated into specific strategies for adaptation of forests to climate change.
C1 [Castagneri, Daniele] Univ Padua, Dept TESAF, I-35020 Legnaro, Italy.
   [Castagneri, Daniele; Bottero, Alessandra] Swiss Fed Inst Forest Snow & Landscape Res WSL, CH-8903 Birmensdorf, Switzerland.
   [Vacchiano, Giorgio] Univ Milan, Dept DISAA, I-20133 Milan, Italy.
   [Hacket-Pain, Andrew] Univ Liverpool, Sch Environm Sci, Dept Geog & Planning, Liverpool L697ZT, Merseyside, England.
   [DeRose, R. Justin] Utah State Univ, Dept Wildland Resources, Logan, UT 84322 USA.
   [DeRose, R. Justin] Utah State Univ, Ctr Ecol, Logan, UT 84322 USA.
   [Klein, Tamir] Weizmann Inst Sci WIS, Dept Plant & Environm Sci, IL-7610001 Rehovot, Israel.
   [Bottero, Alessandra] SwissForestLab, CH-8903 Birmensdorf, Switzerland.
C3 University of Padua; Swiss Federal Institutes of Technology Domain;
   Swiss Federal Institute for Forest, Snow & Landscape Research;
   University of Milan; University of Liverpool; Utah System of Higher
   Education; Utah State University; Utah System of Higher Education; Utah
   State University
RP Castagneri, D (corresponding author), Univ Padua, Dept TESAF, I-35020 Legnaro, Italy.; Castagneri, D (corresponding author), Swiss Fed Inst Forest Snow & Landscape Res WSL, CH-8903 Birmensdorf, Switzerland.
EM daniele.castagneri@unipd.it
RI DeRose, Robert/AAH-1900-2020; Castagneri, Daniele/ABA-7526-2020;
   Vacchiano, Giorgio/H-3645-2019; Bottero, Alessandra/AAR-8459-2021;
   Vacchiano, Giorgio/C-4494-2008; Hacket-Pain, Andrew/E-2846-2015
OI Vacchiano, Giorgio/0000-0001-8100-0659; Hacket-Pain,
   Andrew/0000-0003-3676-1568; Castagneri, Daniele/0000-0002-2092-7415;
   Bottero, Alessandra/0000-0002-0410-2675; DeRose, R.
   Justin/0000-0002-4849-7744; Klein, Tamir/0000-0002-3882-8845
FU Universitadegli Studi di Padova within the CRUI-CARE Agreement
FX Open access funding provided by Universitadegli Studi di Padova within
   the CRUI-CARE Agreement.. Open access funding provided by
   Universitadegli Studi di Padova within the CRUI-CARE Agreement.
CR Albrich K, 2020, GLOBAL ECOL BIOGEOGR, V29, P2082, DOI 10.1111/geb.13197
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Ammer C., 2016, PROGR BOT, V78, P345
   Anderegg WRL, 2015, SCIENCE, V349, P528, DOI 10.1126/science.aab1833
   Anderegg WRL, 2016, P NATL ACAD SCI USA, V113, P5024, DOI 10.1073/pnas.1525678113
   Andrews CM, 2020, J APPL ECOL, V57, P1089, DOI 10.1111/1365-2664.13615
   Annighöfer P, 2018, FOREST ECOL MANAG, V415, P139, DOI 10.1016/j.foreco.2018.02.027
   [Anonymous], 2009, HDB RES SYNTHESIS ME
   [Anonymous], R LANG ENV STAT COMP
   Aussenac G, 2000, ANN FOR SCI, V57, P287
   Bogdziewicz M, 2020, NAT PLANTS, V6, P88, DOI 10.1038/s41477-020-0592-8
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Borenstein M., 2009, INTRO METAANALYSIS, DOI [10.1002/9780470743386, DOI 10.1002/9780470743386]
   Bottero A, 2017, J APPL ECOL, V54, P1605, DOI 10.1111/1365-2664.12847
   Brang P, 2014, FORESTRY, V87, P492, DOI 10.1093/forestry/cpu018
   BREDA N, 1995, TREE PHYSIOL, V15, P295, DOI 10.1093/treephys/15.5.295
   Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010
   Bunn AG, 2013, DENDROCHRONOLOGIA, V31, P250, DOI 10.1016/j.dendro.2013.01.004
   Cabon A, 2018, FOREST ECOL MANAG, V409, P333, DOI 10.1016/j.foreco.2017.11.030
   Casper BB, 1997, ANNU REV ECOL SYST, V28, P545, DOI 10.1146/annurev.ecolsys.28.1.545
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   del Río M, 2017, FOREST SYST, V26, DOI 10.5424/fs/2017262-11325
   DeSoto L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14300-5
   Etzold S, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00307
   Fernández-de-Uña L, 2016, J ECOL, V104, P678, DOI 10.1111/1365-2745.12544
   Field JP, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.502669
   Forrester DI, 2019, FOREST ECOL MANAG, V447, P139, DOI 10.1016/j.foreco.2019.05.053
   Fritts H.C., 1976, Tree rings and climate, P1
   Gazol A, 2018, GLOBAL CHANGE BIOL, V24, P2143, DOI 10.1111/gcb.14082
   Gazol A, 2016, J ECOL, V104, P1063, DOI 10.1111/1365-2745.12575
   Gebhardt T, 2014, AGR FOREST METEOROL, V197, P235, DOI 10.1016/j.agrformet.2014.05.013
   Gessler A, 2020, NEW PHYTOL, V228, P1704, DOI 10.1111/nph.16703
   Gillerot L, 2021, ECOSYSTEMS, V24, P20, DOI 10.1007/s10021-020-00501-y
   Giuggiola A, 2016, NEW PHYTOL, V210, P108, DOI 10.1111/nph.13748
   Guiot J., 1991, Tree-Ring Bulletin, V51, P39
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Hoffmann N, 2018, AGR FOREST METEOROL, V256, P431, DOI 10.1016/j.agrformet.2018.03.008
   Hunter J. E., 2004, METHODS META ANAL CO
   Kannenberg SA, 2019, ECOL LETT, V22, P119, DOI 10.1111/ele.13173
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Klein T, 2014, FUNCT ECOL, V28, P1313, DOI 10.1111/1365-2435.12289
   Klein T, 2013, FOREST ECOL MANAG, V302, P34, DOI 10.1016/j.foreco.2013.03.044
   Koricheva J, 2014, J ECOL, V102, P828, DOI 10.1111/1365-2745.12224
   KRAJICEK JOHN E., 1961, FOREST SCI, V7, P35
   Levesque M, 2014, AGR FOREST METEOROL, V197, P1, DOI 10.1016/j.agrformet.2014.06.001
   Lloret F, 2011, OIKOS, V120, P1909, DOI 10.1111/j.1600-0706.2011.19372.x
   López BC, 2003, TREE PHYSIOL, V23, P1217, DOI 10.1093/treephys/23.17.1217
   Magnani F, 1998, PLANT CELL ENVIRON, V21, P867, DOI 10.1046/j.1365-3040.1998.00328.x
   Mausolf K, 2018, SCI TOTAL ENVIRON, V642, P1201, DOI 10.1016/j.scitotenv.2018.06.065
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   Merlin M, 2015, FOREST ECOL MANAG, V339, P22, DOI 10.1016/j.foreco.2014.11.032
   Molina AJ, 2012, FOREST ECOL MANAG, V269, P206, DOI 10.1016/j.foreco.2011.12.037
   Moreno G, 2008, FOREST ECOL MANAG, V254, P74, DOI 10.1016/j.foreco.2007.07.029
   Moreno-Gutiérrez C, 2012, PLANT CELL ENVIRON, V35, P1026, DOI 10.1111/j.1365-3040.2011.02469.x
   Niinemets Ü, 2006, ECOL MONOGR, V76, P521, DOI 10.1890/0012-9615(2006)076[0521:TTSDAW]2.0.CO;2
   Nikinmaa L, 2020, CURR FOR REP, V6, P61, DOI 10.1007/s40725-020-00110-x
   Pretzsch H, 2013, PLANT BIOLOGY, V15, P483, DOI 10.1111/j.1438-8677.2012.00670.x
   Pretzsch H, 2020, FOREST ECOL MANAG, V460, DOI 10.1016/j.foreco.2020.117879
   Raz-Yaseef N, 2010, AGR FOREST METEOROL, V150, P454, DOI 10.1016/j.agrformet.2010.01.010
   Reyer CPO, 2015, J ECOL, V103, P5, DOI 10.1111/1365-2745.12337
   Rita A, 2020, GLOBAL CHANGE BIOL, V26, P851, DOI 10.1111/gcb.14825
   Rohatgi A., 2011, WebPlotDigitizer User Manual
   Rothstein HR, 2005, PUBLICATION BIAS IN META-ANALYSIS: PREVENTION, ASSESSMENT AND ADJUSTMENTS, P1, DOI 10.1002/0470870168
   Schwarz J, 2020, CURR FOR REP, V6, P185, DOI 10.1007/s40725-020-00119-2
   Schweingruber FH., 1990, Methods of Dendrochronology: Applications in the Environmental Sciences, P23, DOI DOI 10.1007/978-94-015-7879-0
   Serra-Maluquer X, 2018, OECOLOGIA, V187, P343, DOI 10.1007/s00442-018-4118-2
   Simonin K, 2007, AGR FOREST METEOROL, V143, P266, DOI 10.1016/j.agrformet.2007.01.003
   Sohn JA, 2016, FOREST ECOL MANAG, V380, P261, DOI 10.1016/j.foreco.2016.07.046
   Sohn JA, 2013, FOREST ECOL MANAG, V308, P188, DOI 10.1016/j.foreco.2013.07.048
   Stednick JD, 1996, J HYDROL, V176, P79, DOI 10.1016/0022-1694(95)02780-7
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Thabane L, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-92
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Tsamir M, 2019, FOREST ECOL MANAG, V453, DOI 10.1016/j.foreco.2019.117573
   van Mantgem PJ, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.00041
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Viechtbauer W, 2010, RES SYNTH METHODS, V1, P112, DOI 10.1002/jrsm.11
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   Vilà-Cabrera A, 2018, FOREST ECOL MANAG, V407, P16, DOI 10.1016/j.foreco.2017.10.021
   Vitasse Y, 2019, GLOBAL CHANGE BIOL, V25, P3781, DOI 10.1111/gcb.14803
   von Arx G, 2013, J ECOL, V101, P1201, DOI 10.1111/1365-2745.12121
   Weber P, 2013, TREES-STRUCT FUNCT, V27, P171, DOI 10.1007/s00468-012-0786-4
   Weigelt A, 2003, J ECOL, V91, P707, DOI 10.1046/j.1365-2745.2003.00805.x
   Woodall CW, 2005, FOREST ECOL MANAG, V216, P367, DOI 10.1016/j.foreco.2005.05.050
   Young DJN, 2017, ECOL LETT, V20, P78, DOI 10.1111/ele.12711
   Zhao SD, 2019, J BIOGEOGR, V46, P355, DOI 10.1111/jbi.13488
NR 87
TC 71
Z9 79
U1 19
U2 160
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 JAN
PY 2022
VL 25
IS 1
BP 30
EP 43
DI 10.1007/s10021-021-00638-4
EA MAY 2021
PG 14
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA YT5EN
UT WOS:000647928000002
OA hybrid
DA 2025-01-10
ER

PT J
AU Wamsler, C
   Johannessen, A
AF Wamsler, Christine
   Johannessen, Ase
TI Meeting at the crossroads? Developing national strategies for disaster
   risk reduction and resilience: Relevance, scope for, and challenges to,
   integration
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Sendai Framework; Agenda 2030; Disaster risk reduction; Risk reduction;
   Disaster management; Climate change; Climate change adaptation; National
   strategies; Local strategies; Sustainable Development Goals (SDGs);
   Sustainable development; Resilience building; Paris agreement; Climate
   policy integration; Mainstreaming
ID CLIMATE-CHANGE; ADAPTATION
AB Increasing impacts from disasters and climate hazards have prompted international efforts to promote the development of national disaster risk reduction and resilience (DRRR) strategies intended to reduce mortality and other losses. The development of such strategies is the subject of target E of the Sendai Framework for Disaster Risk Reduction (2015-2030). Furthermore, an increasing understanding of the need to address the root causes of risk has led to calls for greater coherence between strategies that focus on DRRR, and those dedicated to climate change adaptation and sustainable development goals. The purpose of this paper is to increase knowledge on associated decision-making in general, and in Sweden in particular. We analyze the relevance and scope of a Swedish DRRR strategy, and identify drivers and barriers to integrated development and implementation. Based on document reviews, and interviews and group discussions with representatives in Sweden and six European countries, the results highlight a growing awareness that much remains to be learnt and shared between domains in order to progress towards integrated DRRR and more climate-proof sustainable development. In practice, most strategies are developed independently and related actors work in silos, leading to power struggles with negative impacts on national and local capacity. At the same time, windows of opportunity are appearing for the development of national DRRR strategies and increased policy coherence. We discuss these, and present some policy recommendations.
C1 [Wamsler, Christine] Lund Univ Ctr Sustainabil Studies LUCSUS, Box 170, SE-22100 Lund, Sweden.
   [Wamsler, Christine] Uppsala Univ, Ctr Nat Hazards & Disaster Sci CNDS, Uppsala, Sweden.
   [Johannessen, Ase] Lund Univ, Div Risk Management & Societal Safety, Lund, Sweden.
   [Johannessen, Ase] Delft Univ Technol, Water Resources Grp, Delft, Netherlands.
C3 Lund University; Centre of Natural Hazards & Disaster Science (CNDS);
   Uppsala University; Lund University; Delft University of Technology
RP Wamsler, C (corresponding author), Lund Univ Ctr Sustainabil Studies LUCSUS, Box 170, SE-22100 Lund, Sweden.
EM christine.wamsler@lucsus.lu.se
OI Johannessen, Ase/0000-0002-8752-5496
FU Swedish Research Council FORMAS [2011-901]; Swedish Research Council VR
   [2017-06214]; Swedish Civil Contingency Agency MSB [2018-04514]; Vinnova
   [2018-04514] Funding Source: Vinnova; Swedish Research Council
   [2017-06214] Funding Source: Swedish Research Council
FX This study was financed by the Swedish Research Council FORMAS (grant
   number 2011-901), the Swedish Research Council VR (International postdoc
   grant number 2017-06214) and supported by the Swedish Civil Contingency
   Agency MSB (2018-04514). Thanks go also to Peter Mansson who has
   contributed to preceding studies.
CR Aitsi-Selmi A, 2016, INT J DISAST RISK SC, V7, P1, DOI 10.1007/s13753-016-0081-x
   Andersson L., 2015, UNDERLAG KONTROLLSTA
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change, P582
   [Anonymous], 1987, OUR COMMON FUTURE
   [Anonymous], 2017, REG ENVIRON CHANGE
   [Anonymous], 2018, Policy Coherence for Sustainable Development 2018, DOI DOI 10.1787/9789264301061-EN
   [Anonymous], 2013, Grounded theory for qualitative research: A practical guide
   [Anonymous], THESIS
   [Anonymous], HANDL AG 2030 2018 2
   Cochrane A, 2012, ENVIRON PLANN A, V44, P5, DOI 10.1068/a44176
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   Dunn W., 2004, Public Policy Analysis: An Introduction, V3rd
   European Commission (EC), 2011, AD STRAT EUR CIT FIN
   Fisher R., 1991, GETTING YES NEGOTIAT, V2nd
   Glaser B. G., 1978, [No title captured]
   Government of Sweden, 2016, POL FRAM SWED DEV CO, P60
   Gray B., 1989, Collaborating: Finding common ground for multiparty problems
   Handmer J., 2007, HDB DISASTER EMERGEN
   IPCC, 2014, 5 ASS REP INT PAN CL
   Jörgens H, 2004, GOVERNANCE FOR SUSTAINABLE DEVELOPMENT: THE CHALLENGE OF ADAPTING FORM TO FUNCTION, P246
   Johannessen Å, 2015, INT J WATER GOV, V3, P5, DOI 10.7564/13-IJWG30
   Kok M, 2008, CLIM POLICY, V8, P103, DOI 10.3763/cpol.2007.0436
   Krick T., 2005, PRACTITIONERS HDB ST, V2
   Patton M.Q., 2015, Qualitative research evaluation methods: Integrating theory and practice, V4th, DOI [10.1177/1098214016689486, DOI 10.1177/1098214016689486]
   Perks J., 2011, ADAPTATION STRATEGIE
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   SOU, 2001, 200141 SOU
   Torfing J, 2009, CRIT POLICY STUD, V3, P70, DOI 10.1080/19460170903158149
   UNISDR, 2015, SENDAI FRAMEWORK DIS
   Wagenaar Hendrik., 2011, MEANING ACTION INTER
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wamsler C, 2014, URBAN CLIM, V7, P64, DOI 10.1016/j.uclim.2013.10.009
   Wamsler C, 2014, SUSTAINABILITY-BASEL, V6, P1359, DOI 10.3390/su6031359
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
NR 45
TC 24
Z9 25
U1 4
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAY
PY 2020
VL 45
AR 101452
DI 10.1016/j.ijdrr.2019.101452
PG 8
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 MH8OG
UT WOS:000546981000022
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Lucash, MS
   Scheller, RM
   Gustafson, EJ
   Sturtevant, BR
AF Lucash, Melissa S.
   Scheller, Robert M.
   Gustafson, Eric J.
   Sturtevant, Brian R.
TI Spatial resilience of forested landscapes under climate change and
   management
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Carbon cycle; Century; Climate change adaptation; Forest simulation
   model; Forest management; Wind disturbance
ID ECOSYSTEM; DYNAMICS; DISTURBANCE; BIOMASS; BOREAL; PRODUCTIVITY;
   BIODIVERSITY; SIMULATION; LANDIS; WIND
AB Context Resilience, the ability to recover from disturbance, has risen to the forefront of scientific policy, but is difficult to quantify, particularly in large, forested landscapes subject to disturbances, management, and climate change.
   Objectives Our objective was to determine which spatial drivers will control landscape resilience over the next century, given a range of plausible climate projections across north-central Minnesota.
   Methods Using a simulation modelling approach, we simulated wind disturbance in a 4.3 million ha forested landscape in north-central Minnesota for 100 years under historic climate and five climate change scenarios, combined with four management scenarios: business as usual (BAU), maximizing economic returns ('EcoGoods'), maximizing carbon storage ('EcoServices'), and climate change adaption ('CCAdapt'). To estimate resilience, we examined sites where simulated windstorms removed > 70% of the biomass and measured the difference in biomass and species composition after 50 years.
   Results Climate change lowered resilience, though there was wide variation among climate change scenarios. Resilience was explained more by spatial variation in soils than climate. We found that BAU, EcoGoods and EcoServices harvest scenarios were very similar; CCAdapt was the only scenario that demonstrated consistently higher resilience under climate change. Although we expected spatial patterns of resilience to follow ownership patterns, it was contingent upon whether lands were actively managed.
   Conclusions Our results demonstrate that resilience may be lower under climate change and that the effects of climate change could overwhelm current management practices. Only a substantial shift in simulated forest practices was successful in promoting resilience.
C1 [Lucash, Melissa S.; Scheller, Robert M.] Portland State Univ, Dept Environm Sci & Management, POB 721, Portland, OR 97201 USA.
   [Gustafson, Eric J.; Sturtevant, Brian R.] US Forest Serv, Inst Appl Ecosyst Studies, Northern Res Stn, USDA, Rhinelander, WI 54501 USA.
C3 Portland State University; United States Department of Agriculture
   (USDA); United States Forest Service
RP Lucash, MS (corresponding author), Portland State Univ, Dept Environm Sci & Management, POB 721, Portland, OR 97201 USA.
EM lucash@pdx.edu
RI Sturtevant, Brian/KHV-0383-2024; Lucash, Melissa/AAL-2849-2021;
   Scheller, Robert/B-3135-2009
OI Lucash, Melissa/0000-0003-1509-3273; Scheller,
   Robert/0000-0002-7507-4499
FU USDA AFRI [2012-68002-19896]; USDA Forest Service Northern Research
   Station
FX Funding was provided by USDA AFRI (2012-68002-19896) and USDA Forest
   Service Northern Research Station. We acknowledge substantial
   contributions by the Staff of the Chippewa National Forest, particularly
   Kelly Barrett, Jim Gries, Audrey Gustafson, Gary Swanson, Sharon
   Klinkhammer, Barb Knight, Rose Johnson and John Rickers. We thank Brian
   Miranda for coding the Linear Wind Extension. Drs. Louis Iverson, Matt
   Hurteau and Matthew Duveneck provided comments that helped us
   substantively improve the manuscript. We greatly benefited from Matthew
   Duveneck's expertise in R and LANDIS-II parameterization. Thanks also
   for GIS assistance by Sue Lietz and John Richardson.
CR Allen CR, 2016, J APPL ECOL, V53, P625, DOI 10.1111/1365-2664.12634
   Anderson KJ, 2006, ECOL LETT, V9, P673, DOI 10.1111/j.1461-0248.2006.00914.x
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   Anderson-Teixeira KJ, 2013, GLOBAL CHANGE BIOL, V19, P2001, DOI 10.1111/gcb.12194
   [Anonymous], LANDIS 2 LINEAR WIND
   [Anonymous], 1996, Engineering Within Ecological Constraints, DOI DOI 10.17226/4919
   [Anonymous], LANDIS 2 LEAF BIOMAS
   [Anonymous], CHIPP NAT FOR NAT FO
   [Anonymous], R S LANG ENV STAT CO
   Brand FS, 2007, ECOL SOC, V12
   Buma B, 2013, FOREST ECOL MANAG, V306, P216, DOI 10.1016/j.foreco.2013.06.044
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   D'Amato A, 2008, CURRENT STATUS LONG, P58
   Duveneck MJ, 2016, LANDSCAPE ECOL, V31, P669, DOI 10.1007/s10980-015-0273-6
   Duveneck MJ, 2015, ECOL APPL, V25, P1653, DOI 10.1890/14-0738.1
   EPA, 2012, US EPA CLIM CHANG AD
   Fisichelli NA, 2014, ECOGRAPHY, V37, P152, DOI 10.1111/j.1600-0587.2013.00197.x
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Frelich L.E., 2002, FOREST DYNAMICS DIST
   Frelich LE, 2010, FRONT ECOL ENVIRON, V8, P371, DOI 10.1890/080191
   Garner G, 2016, CLIMATIC CHANGE, V134, P713, DOI 10.1007/s10584-016-1607-3
   Grimm V, 2011, UNDERST COMPLEX SYST, P3, DOI 10.1007/978-3-642-20423-4_1
   Gustafson E J., 2006, Forest Landscape Ecology: Transferring Knowledge to Practice, P43
   Gustafson EJ, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1253
   Haeussler S, 2003, TOWARDS SUSTAINABLE MANAGEMENT OF THE BOREAL FOREST, P307
   Handler S., 2014, Minnesota Forest Ecosystem Vulnerability Assessment and Synthesis: a Report from the Northwoods Climate Change Response Framework Project
   He HS, 2008, FOREST ECOL MANAG, V254, P484, DOI 10.1016/j.foreco.2007.08.022
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kimmins JP, 2004, EMULATING NATURAL FOREST LANDSCAPED DISTURBANCES: CONCEPTS AND APPLICATIONS, P8
   Kolbert E., 2014, The Sixth Extinction: An Unnatural History
   Krishnan P, 2006, AGR FOREST METEOROL, V139, P208, DOI 10.1016/j.agrformet.2006.07.002
   Lenihan JM, 2008, CLIMATIC CHANGE, V87, pS215, DOI 10.1007/s10584-007-9362-0
   Levine NM, 2016, P NATL ACAD SCI USA, V113, P793, DOI 10.1073/pnas.1511344112
   Lucash MS, 2014, CAN J FOREST RES, V44, P404, DOI 10.1139/cjfr-2013-0383
   Lucash MS, 2015, LANDIS 2 CLIMATE LIB
   Martin PA, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.2236
   Miles PD, 2011, RESOURCE B USDA
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Minckley TA, 2012, ECOL MONOGR, V82, P49, DOI 10.1890/11-0283.1
   Mladenoff DJ, 2004, ECOL MODEL, V180, P7, DOI 10.1016/j.ecolmodel.2004.03.016
   Newton AC, 2015, NEW FOREST, V46, P645, DOI 10.1007/s11056-015-9489-1
   Oksanen J., 2013, Vegan: Community Ecology Package
   Oliver TH, 2015, TRENDS ECOL EVOL, V30, P673, DOI 10.1016/j.tree.2015.08.009
   Park A, 2014, CRIT REV PLANT SCI, V33, P251, DOI 10.1080/07352689.2014.858956
   Parton W.J., 1983, Nutrient Cycling in Agricultural Ecosystems
   PASTOR J, 1988, NATURE, V334, P55, DOI 10.1038/334055a0
   Roberts DW, 1996, ECOL MODEL, V90, P161, DOI 10.1016/0304-3800(95)00163-8
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   Scheller RM, 2005, GLOBAL CHANGE BIOL, V11, P307, DOI 10.1111/j.1365-2486.2005.00906.x
   Scheller RM, 2003, LANDIS 2 BAS WIND V2
   Scheller RM, 2015, LANDIS 2 CENTURY EXT
   Scheller RM, 2015, LANDIS 2 BAS HARV V3
   Scheller RM, 2007, ECOL MODEL, V201, P409, DOI 10.1016/j.ecolmodel.2006.10.009
   Scheller RM, 2012, ECOSPHERE, V3, DOI 10.1890/ES12-00241.1
   Scheller RM, 2011, ECOL MODEL, V222, P144, DOI 10.1016/j.ecolmodel.2010.09.009
   Seidl R, 2016, J APPL ECOL, V53, P120, DOI 10.1111/1365-2664.12511
   Shinneman DJ, 2010, FOREST ECOL MANAG, V259, P446, DOI 10.1016/j.foreco.2009.10.042
   Thompson JR, 2011, ECOL APPL, V21, P2425, DOI 10.1890/10-2383.1
   Turner MG, 2003, BIOSCIENCE, V53, P46, DOI 10.1641/0006-3568(2003)053[0046:DDAERT]2.0.CO;2
   Vano JA, 2015, WATER RESOUR RES, V51, P1959, DOI 10.1002/2014WR015909
   White MA, 2008, CAN J FOREST RES, V38, P2212, DOI 10.1139/X08-065
NR 62
TC 41
Z9 52
U1 6
U2 100
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0921-2973
EI 1572-9761
J9 LANDSCAPE ECOL
JI Landsc. Ecol.
PD MAY
PY 2017
VL 32
IS 5
BP 953
EP 969
DI 10.1007/s10980-017-0501-3
PG 17
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA ET4FD
UT WOS:000400233800003
DA 2025-01-10
ER

PT S
AU Aune, JB
AF Aune, Jens B.
BE Lichtfouse, E
TI Conventional, Organic and Conservation Agriculture: Production and
   Environmental Impact
SO AGROECOLOGY AND STRATEGIES FOR CLIMATE CHANGE
SE Sustainable Agriculture Reviews
LA English
DT Article; Book Chapter
DE Conventional agriculture; Organic agriculture; Conservation agriculture;
   Productivity; Greenhouse gas emissions; Environmental impacts;
   Adaptation to climate change
ID CROPPING SYSTEMS; SOIL; NITROGEN; GLYPHOSATE; QUALITY; TILLAGE; AFRICA;
   GROWTH; MATTER
AB Agriculture production has to increase by 70% within 2050 in order to keep pace with population growth and changing diets. However, this production increase will have to be achieved in a way that preserves the environment and reduces the vulnerability of agriculture to climate change. Agriculture will furthermore need to minimize the emissions of greenhouse gases, pesticides and plant nutrients like nitrogen and phosphorous to the environment. Organic agriculture, conventional agriculture and conservation agriculture can be considered as different approaches for dealing with these production and environmental challenges. This chapter discusses the production and environmental implications of these three different approaches for agricultural development. Conventional agriculture is characterised by ploughing and limited recycling of organic materials. Organic agriculture uses no pesticides and mineral fertiliser whereas conservation agriculture is characterized by zero tillage, use of mulch and crop rotations.
   The studies reviewed show that conventional agriculture and conservation agriculture have similar yield levels, but the yield levels in organic agriculture is in the order of 30-50% lower than in these two systems. One important reason for lower productivity in organic agriculture is limited supply of plant nutrients as organic sources of plant nutrients only supply 30-35% of the nitrogen taken up by crops. Conservation agriculture is furthermore more efficient in building soil organic matter than organic agriculture and conventional agriculture. Conservation agriculture has been found to sequester between 0.1 and 1 t C ha(-1) year(-1). Building soil organic matter content can be considered as a cornerstone in adaption to climate as this will increase soil water holding capacity. and reduce soil temperature. System studies have shown that nitrogen and greenhouse gas emission are less in conservation agriculture as compared to conventional and organic agriculture. The non-use of pesticides is the major environmental advantages of organic agriculture.
   It appears from this review that conservation agriculture is the approach that can best deliver on the production and environmental objectives of agriculture.
C1 Norwegian Univ Life Sci, Noragric, Dept Int Environm & Dev Studies, N-1432 As, Norway.
C3 Norwegian University of Life Sciences
RP Aune, JB (corresponding author), Norwegian Univ Life Sci, Noragric, Dept Int Environm & Dev Studies, N-1432 As, Norway.
EM jens.aune@umb.no
CR [Anonymous], IS0205 DEFRA CARNF U
   [Anonymous], 1997, REPLENISHING SOIL FE
   [Anonymous], 2009, FEED WORLD 2050
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Aune JB, 2008, AGR SYST, V98, P119, DOI 10.1016/j.agsy.2008.05.002
   Badgley C, 2007, RENEW AGR FOOD SYST, V22, P86, DOI 10.1017/S1742170507001640
   Baker BP, 2002, FOOD ADDIT CONTAM, V19, P427, DOI 10.1080/02652030110113799
   Barker T., 2007, Climate Change 2007, P26
   Bellarby J., 2008, COOL FARMING CLIMATE
   Borggaard OK, 2008, PEST MANAG SCI, V64, P441, DOI 10.1002/ps.1512
   Brentrup F, 2009, P INT PLANT NUTR C
   Buerkert A, 2000, SOIL SCI SOC AM J, V64, P346, DOI 10.2136/sssaj2000.641346x
   Connor DJ, 2008, FIELD CROP RES, V106, P187, DOI 10.1016/j.fcr.2007.11.010
   Cordell D, 2009, GLOBAL ENVIRON CHANG, V19, P292, DOI 10.1016/j.gloenvcha.2008.10.009
   Crews TE, 2004, AGR ECOSYST ENVIRON, V102, P279, DOI 10.1016/j.agee.2003.09.018
   Derpch R, 2005, P 3 WORLD C CONS AGR
   Derpsch R, 2009, 4 WORLD C CONS AGR I
   Edmeades DC, 2003, NUTR CYCL AGROECOSYS, V66, P165, DOI 10.1023/A:1023999816690
   Erenstem O, 2008, FIELD CROP RES, V105, P240, DOI 10.1016/j.fcr.2007.10.010
   Fan S, 2010, HALVING HUNGER M FIR
   Fresco LO, 2003, FERTILISER FUTURE FA
   Gilbert N, 2009, NATURE, V461, P716, DOI 10.1038/461716a
   Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017
   Gowing JW, 2008, SOIL USE MANAGE, V24, P92, DOI 10.1111/j.1475-2743.2007.00137.x
   Graves A, 2004, ADV AGRON, V82, P473, DOI 10.1016/S0065-2113(03)82007-2
   Hobbs PR, 2000, PHIL T R SOC B, V363, P543
   IPCC, 2007, 4 IPCC, P987
   Kirchmann Holger, 2008, P89, DOI 10.1007/978-1-4020-9316-6_5
   Kirchmann Holger, 2008, P39, DOI 10.1007/978-1-4020-9316-6_3
   Knudsen MT, 2006, J AGR SCI-CAMBRIDGE, V144, P135, DOI 10.1017/S0021859605005812
   Korsaeth A, 2008, AGR ECOSYST ENVIRON, V127, P177, DOI 10.1016/j.agee.2008.03.014
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Mäder P, 2002, SCIENCE, V296, P1694, DOI 10.1126/science.1071148
   Mazvimavi K, 2009, AGR SYST, V101, P20, DOI 10.1016/j.agsy.2009.02.002
   Morris M, 2007, DIR DEV, P1, DOI 10.1596/978-0-8213-6880-0
   Powles SB, 2008, PEST MANAG SCI, V64, P360, DOI 10.1002/ps.1525
   Riley H, 2008, AGR ECOSYST ENVIRON, V124, P275, DOI 10.1016/j.agee.2007.11.002
   Robertson GP, 2000, SCIENCE, V289, P1922, DOI 10.1126/science.289.5486.1922
   Singh RB, 2000, AGR ECOSYST ENVIRON, V82, P97, DOI 10.1016/S0167-8809(00)00219-X
   Smaling E. M. A., 1997, Replenishing soil fertility in Africa. Proceedings of an international symposium, Indianapolis, USA, 6 November 1996., P47
   Smil V, 2002, AMBIO, V31, P126, DOI 10.1639/0044-7447(2002)031[0126:NAFPPF]2.0.CO;2
   Smil V., 2001, ENRICHING THE EARTH
   Stopes C, 2002, SOIL USE MANAGE, V18, P256, DOI 10.1079/SUM2002128
   Tabo R., 2005, FERTILIZER MICRODOSI
   Thierfelder C, 2010, EXP AGR, V46, P309, DOI 10.1017/S001447971000030X
   US Geological Survey, 2009, PHOSPH ROCK
   VANDENBELDT RJ, 1992, AGR FOREST METEOROL, V60, P93, DOI 10.1016/0168-1923(92)90076-G
   Vlek P.L.G., 2009, LEAD PAPERS, P10
   Waggoner PE, 1997, TECHNOLOGICAL TRAJEC, P56
   Wall PC, 2009, C P 4 WORLD C CA NEW, P65
   Yara, 2007, CAS 2007 YAR ANN N2O
   Zingore S, 2005, EUR J SOIL SCI, V56, P727, DOI 10.1111/j.1365-2389.2005.00707.x
NR 52
TC 18
Z9 21
U1 7
U2 156
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 2210-4410
EI 2210-4429
BN 978-94-007-1904-0
J9 SUSTAIN AGR REV
JI Sustain. Agric. Rev.
PY 2012
VL 8
BP 149
EP 165
DI 10.1007/978-94-007-1905-7_7
D2 10.1007/978-94-007-1905-7
PG 17
WC Agriculture, Multidisciplinary; Ecology
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Environmental Sciences & Ecology
GA BFM68
UT WOS:000320563200007
DA 2025-01-10
ER

PT J
AU Ogunpaimo, OR
   Oyetunde-Usman, Z
   Surajudeen, J
AF Ogunpaimo, Oyinlola Rafiat
   Oyetunde-Usman, Zainab
   Surajudeen, Jolaosho
TI Impact of Climate Change Adaptation on Household Food Security in
   Nigeria-A Difference-in-Difference Approach
SO SUSTAINABILITY
LA English
DT Article
DE developing countries; welfare; panel probit model; adoption; propensity
   score matching
ID PROPENSITY SCORE; FARMERS ADAPTATION; RURAL HOUSEHOLDS; STRATEGIES;
   ADOPTION; DETERMINANTS; LEVEL; INCOME; PRODUCTIVITY; VARIABILITY
AB Studies have shown that climate change adaptation options (CCA) are implemented to buffer the unfavorable climatic changes in Nigeria causing a decline in food security. Against the background of measuring the impact of CCA options using cross-sectional data, this study assessed how CCA had affected food security using panel data on farming households from 2010-2016 obtained from Nigerian General Household Survey (GHS). Data were analyzed using the Panel probit model (PPM), Propensity Score Matching (PSM), and Difference-in-Difference (DID) regression. PPM showed that the probability of adopting CCA options increased with farm size (p < 0.01), extension contact (p < 0.01), and marital status (p < 0.01), but decreased with the age of the household head (p < 0.01). Credit facilities (p < 0.05), ownership of farmland (p < 0.01), household size (p < 0.01), years of schooling (p < 0.01), household asset (p < 0.01), and location (p < 0.05) also had a significant but mixed effect on CCA choices. PSM revealed that farming households that adopted CCA strategies had 9% higher food security levels than non-adopters. Furthermore, the result of the DID model revealed a significant positive effect of CCA on household food security (beta = 5.93, p < 0.01). It was recommended that education and provision of quality advisory services to farmers is crucial to foster the implementation of CCA options.
C1 [Ogunpaimo, Oyinlola Rafiat] TEAGASC, Rural Econ & Dev Programme, Mellows Campus, Athenry H65 R718, Galway, Ireland.
   [Ogunpaimo, Oyinlola Rafiat; Surajudeen, Jolaosho] Fed Univ Agr, Dept Agr Econ & Farm Management, Abeokuta 112251, Nigeria.
   [Oyetunde-Usman, Zainab] Univ Greenwich, Natl Resources Inst, Chatham ME4 4TB, England.
C3 Teagasc; University of Agriculture, Abeokuta; University of Greenwich
RP Ogunpaimo, OR (corresponding author), TEAGASC, Rural Econ & Dev Programme, Mellows Campus, Athenry H65 R718, Galway, Ireland.; Ogunpaimo, OR (corresponding author), Fed Univ Agr, Dept Agr Econ & Farm Management, Abeokuta 112251, Nigeria.
EM oyinlolaadams@gmail.com; zainabus23@gmail.com;
   surajudeenjolaosho@yahoo.com
RI Ogunpaimo, Oyinlola/ABE-4266-2020
OI Oyetunde-Usman, Zainab/0000-0003-1602-4819; OGUNPAIMO,
   OYINLOLA/0000-0002-1877-2020
CR Abaje I.B., 2013, Global Journal of Human Social Science (B): Geography, Geo-Sciences Environmental, V13, P1
   Abdulkadir T, 2017, Journal of Research in Forestry, Wildlife and Environment, V9, P12
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Adams O.R., 2015, CLIMATE VARIABILITY
   Adebayo O., 2016, INT J EC FINANC ISSU, P6, DOI [10.3934/agrfood.2018.2.154, DOI 10.3934/AGRFOOD.2018.2.154]
   Adebayo O, 2018, AIMS AGRIC FOOD, V3, P154, DOI 10.3934/agrfood.2018.2.154
   Adeniyi Daniel Adeoluwa, 2019, Journal of Reviews on Global Economics, V8, P291, DOI 10.6000/1929-7092.2019.08.25
   Ajayi J.A., 2020, Nigeria
   Akerele D, 2017, ECOL FOOD NUTR, V56, P187, DOI 10.1080/03670244.2017.1281127
   Aku P., 1995, J SOC MANAG STUD, V2, P99
   Alam GMM, 2016, ECOL ECON, V130, P243, DOI 10.1016/j.ecolecon.2016.07.012
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], 2016, ADAPTATION CLIMATE C
   [Anonymous], 2008, Climate change and food security
   [Anonymous], 2018, SUSTAINABLE DEV GOAL, P36
   [Anonymous], 2011, BETTER EC SUPPORTING
   Arshad M, 2016, CLIM DEV, V8, P234, DOI 10.1080/17565529.2015.1034232
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Becerril J, 2010, WORLD DEV, V38, P1024, DOI 10.1016/j.worlddev.2009.11.017
   Becker SO, 2002, STATA J, V2, P358, DOI 10.1177/1536867X0200200403
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Birungi P.B., 2008, LINKAGES LAND DEGRAD
   Boansi D, 2017, WEATHER CLIM EXTREME, V16, P1, DOI 10.1016/j.wace.2017.03.001
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Caliendo M, 2008, J ECON SURV, V22, P31, DOI 10.1111/j.1467-6419.2007.00527.x
   Cameron A.C., 2009, MICROECONOMETRICS US, V5
   Chilot Yirga Tizale B, 2007, DYNAMICS SOIL DEGRAD
   Dehejia RH, 2002, REV ECON STAT, V84, P151, DOI 10.1162/003465302317331982
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dolisca F, 2006, FOREST ECOL MANAG, V236, P324, DOI 10.1016/j.foreco.2006.09.017
   Ebele Nebedum., 2016, Journal of Scientific Research Reports, V10, P1, DOI [10.9734/Jsrr/2016/25162, DOI 10.9734/JSRR/2016/25162]
   Echendu AJ, 2020, ECOSYST HEALTH SUST, V6, DOI 10.1080/20964129.2020.1791735
   Edame G.E., 2011, INT J HUMANITIES SOC, V1, P205
   El-ladan I., 2014, P INT C POSS IMP CHA, P16
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   FAO, CLIMATE CHANGE AGR F
   FAO, 2017, Building resilience for food and food security
   FAO IFAD UNICEF WFP & WHO (Food and Agriculture Organization of the United Nations the International Fund for Agricultural Development the United Nations Children's Fund the World Food Programme and the World Health Organization), 2018, The state of food security and nutrition in the world 2018: Building climate resilience for food security and nutrition
   Field C.B, 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415379
   Firdaus RBR, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1707607
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   GADM, COUNTRY PROFILE
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Iheke OR, 2016, SCI PAP-SER MANAG EC, V16, P213
   Ijaiya M. A., 2017, Ethiopian Journal of Environmental Studies and Management, V10, P208, DOI 10.4314/ejesm.v10i2.7
   Ikudayisi A, 2019, OUTLOOK AGR, V48, P336, DOI 10.1177/0030727019866462
   Javed SA., 2015, PERCEPTIONS ADAPTATI
   Kabunga NS, 2014, FOOD POLICY, V45, P25, DOI 10.1016/j.foodpol.2013.12.009
   Kangmennaang J, 2017, FOOD SECUR, V9, P561, DOI 10.1007/s12571-017-0669-z
   Khandker S.R., 2009, HDB IMPACT EVALUATIO, DOI [DOI 10.1596/978-0-8213-8028-4, 10.1596/978-0-8213-8028-4]
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   Kokoye SEH, 2013, AGR SYST, V122, P53, DOI 10.1016/j.agsy.2013.08.002
   Mausch K., 2014, CAN WE MAKE SMALLHOL, P28
   Medugu IN, 2008, MANAG ENVIRON QUAL, V19, P690, DOI 10.1108/14777830810904911
   Mekuyie M., 2021, ENV SYST RES, V10, P1, DOI [10.1186/s40068-020-00212-2, DOI 10.1186/S40068-020-00212-2]
   Morland A., CLIMATE CHANGE
   Mugi-Ngenga EW, 2016, J RURAL STUD, V43, P49, DOI 10.1016/j.jrurstud.2015.11.004
   Mustafa G., 2015, CLIM CHANG WORK PAP, V5, P17
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   National Bureau of Statistics Federal Republic of Nigeria, 2015, GEN HOUSEHOLD SURVEY
   National Bureau of Statistics Federal Republic of Nigeria, 2012, NIGERIA GEN HOUSEHOL
   National Bureau of Statistics Federal Republic of Nigeria, 2010, NIGERIA GEN HOUSEHOL
   Nguyen C.D., 2021, ASIA PAC J REG SCI, P1, DOI [10.1007/s41685-020-00181-5, DOI 10.1007/S41685-020-00181-5]
   Noltze M, 2013, ECOL ECON, V85, P59, DOI 10.1016/j.ecolecon.2012.10.009
   Ogunpaimo O.R., 2020, FUTO J SERIES, V6, P25
   Ogunpaimo O.R., 2019, NIG P 6 AFR C AGR EC, P17
   Ojo TO., 2020, J. Econ. Struct, DOI [10.1186/s40008-020-00204-6, DOI 10.1186/S40008-020-00204-6]
   Oyetunde-Usman Z, 2021, INT SOIL WATER CONSE, V9, P241, DOI 10.1016/j.iswcr.2020.10.007
   Quan J., 2006, LAND ACCESS EARLY 21
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   Ruto E., 2018, P AGR EC SOC 92 ANN
   Shiferaw B, 2014, FOOD POLICY, V44, P272, DOI 10.1016/j.foodpol.2013.09.012
   Steynor A, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100112
   Subandoro A., 2007, FOOD SECURITY PRACTI, P146
   Tambo JA, 2016, INT J DISAST RISK RE, V17, P85, DOI 10.1016/j.ijdrr.2016.04.005
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   Temesgen D., 2008, ANAL DETERMINANTS FA
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tiwari KR, 2008, ENVIRON MANAGE, V42, P210, DOI 10.1007/s00267-008-9137-z
   Tiwari VM, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039401
   Troubat N., 2014, ASSESSMENT RELIABILI, P69
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Von Grebmer K., 2020, 2020 GLOBAL HUNGER I
   Wanjala BM, 2013, WORLD DEV, V45, P147, DOI 10.1016/j.worlddev.2012.12.014
   Weldegebriel ZB, 2013, DEV POLICY REV, V31, P35, DOI 10.1111/dpr.12038
NR 93
TC 11
Z9 11
U1 1
U2 12
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 1444
DI 10.3390/su13031444
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QD6FX
UT WOS:000615612600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Rogers, BC
   Bertram, N
   Gersonius, B
   Gunn, A
   Löwe, R
   Murphy, C
   Pasman, R
   Radhakrishnan, M
   Urich, C
   Wong, THF
   Arnbjerg-Nielsen, K
AF Rogers, B. C.
   Bertram, N.
   Gersonius, B.
   Gunn, A.
   Loewe, R.
   Murphy, C.
   Pasman, R.
   Radhakrishnan, M.
   Urich, C.
   Wong, T. H. F.
   Arnbjerg-Nielsen, K.
TI An interdisciplinary and catchment approach to enhancing urban flood
   resilience: a Melbourne case
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE climate change adaptation; community visioning; flood resilience;
   interdisciplinary research; strategy testing; urban intensification
ID CLIMATE-CHANGE ADAPTATION; RISK-MANAGEMENT; WATER; PARTICIPATION;
   SCIENCE; POLICY; CITY; GOVERNANCE; KNOWLEDGE; PATHWAYS
AB This paper presents a novel interdisciplinary and catchment-based approach for exploring urban flood resilience. Our research identified and developed a diverse set of adaptation measures for Elwood, a suburb in Melbourne, Australia, that is vulnerable to pluvial and coastal flooding. We drew on methods from social science, urban design and environmental engineering to gain integrated insights into the opportunities for Elwood to increase its flood resilience and urban liveability. Results showed that an appropriate balance of social, infrastructural and urban design responses would be required to retreat from, accommodate and protect against flood risk. These would also deliver broader benefits such as securing water supplies through harvested stormwater and mitigating extreme heat through greener landscapes. Our interdisciplinary approach demonstrated the value of (i) engaging with the community to understand their concerns, aspirations and adaptation ideas, (ii) exploring design measures that densify and use urban forms in ways that implement adaptation measures while responding to local context, (iii) adopting modelling techniques to test the performance, robustness and economic viability of possible adaptation solutions, and (iv) innovating governance arrangements and principles needed to improve flood resilience in the Elster Creek catchment. Our research also provided valuable insight on how to operationalize interdisciplinary work in practice, highlighting the importance of sharing an impact agenda, taking a place-based approach, developing a common conceptual framework, and fostering a constructive team culture.
   This article is part of the theme issue 'Urban flood resilience'.
C1 [Rogers, B. C.; Bertram, N.; Gersonius, B.; Gunn, A.; Loewe, R.; Murphy, C.; Pasman, R.; Radhakrishnan, M.; Urich, C.; Wong, T. H. F.; Arnbjerg-Nielsen, K.] Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.
   [Rogers, B. C.; Gunn, A.] Monash Univ, Sch Social Sci, Room 5418,Menzies Bldg,20 Chancellors Walk, Melbourne, Vic, Australia.
   [Urich, C.] Monash Univ, Dept Civil Engn, Melbourne, Vic, Australia.
   [Bertram, N.; Murphy, C.; Pasman, R.] Monash Univ, MADA, Melbourne, Vic, Australia.
   [Gersonius, B.; Radhakrishnan, M.] UNESCO IHE Inst Water Educ, Delft, Netherlands.
   [Loewe, R.; Arnbjerg-Nielsen, K.] Tech Univ Denmark DTU, Dept Environm Engn, Lyngby, Denmark.
C3 Cooperative Research Centre for Water Sensitive Cities (CRCWSC); Monash
   University; Monash University; Monash University; IHE Delft Institute
   for Water Education; Technical University of Denmark
RP Rogers, BC (corresponding author), Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.; Rogers, BC (corresponding author), Monash Univ, Sch Social Sci, Room 5418,Menzies Bldg,20 Chancellors Walk, Melbourne, Vic, Australia.
EM briony.rogers@monash.edu
RI Loewe, Roland/AAQ-2793-2020; Gersonius, Berry/C-7724-2009;
   Arnbjerg-Nielsen, Karsten/J-7792-2012
OI Lowe, Roland/0000-0002-5549-5456; Arnbjerg-Nielsen,
   Karsten/0000-0002-6221-9505; Rogers, Briony/0000-0003-1780-127X
FU Cooperative Research Centre for Water Sensitive Cities; Commonwealth of
   Australia through the Cooperative Research Centre program
FX The research was funded by the Cooperative Research Centre for Water
   Sensitive Cities. The support of the Commonwealth of Australia through
   the Cooperative Research Centre program is gratefully acknowledged.
CR 100 Resilient Cities, 100 RES CIT
   Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2015, TECH REP
   [Anonymous], 2017, Flood damage assessmentLiterature review and recommended procedure
   [Anonymous], 2007, AR4 CLIMATE CHANGE 2
   [Anonymous], 2017, 2016 CENS QUICKSTATS
   Australian Bureau of Statistics, 2017, EST PERS INC SMALL A
   Bergdoll Barry., 2011, RISING CURRENTS PROJ
   Bertram N., 2019, In time with water: Design studies of 3 Australian cities
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P512, DOI 10.1016/j.envsci.2007.02.007
   Bloemen P, 2018, MITIG ADAPT STRAT GL, V23, P1083, DOI 10.1007/s11027-017-9773-9
   BOER Florian., 2010, De Urbanisten and the Wondrous Water Square
   Brown RR, 2015, NATURE, V525, P315, DOI 10.1038/525315a
   Collins HM, 2002, SOC STUD SCI, V32, P235, DOI 10.1177/0306312702032002003
   Cook BR, 2013, SOC STUD SCI, V43, P754, DOI 10.1177/0306312713478670
   Cundill G, 2012, J ENVIRON MANAGE, V113, P7, DOI 10.1016/j.jenvman.2012.08.021
   Davidsen S, 2017, J HYDROINFORM, V19, P686, DOI 10.2166/hydro.2017.152
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   Di Baldassarre G, 2018, HYDROL EARTH SYST SC, V22, P5629, DOI 10.5194/hess-22-5629-2018
   Dunn G, 2017, URBAN WATER J, V14, P758, DOI 10.1080/1573062X.2016.1241284
   EEA, 2016, URB SPRAWL EUR JOINT
   Ferguson BC, 2013, WATER RES, V47, P7300, DOI 10.1016/j.watres.2013.09.045
   Ferguson BC, 2013, LANDSCAPE URBAN PLAN, V117, P32, DOI 10.1016/j.landurbplan.2013.04.016
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fraser M., 2013, DESIGN RES ARCHITECT
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gilbert J, 1990, CLIMATE CHANGE: THE IPCC RESPONSE STRATEGIES, P129
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunawardena A, 2017, REV NONMARKET VALUES
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hallegatte Stephane., 2006, COST BENEFIT ANAL NE
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Ison R, 2011, WATER RESOUR MANAG, V25, P3977, DOI 10.1007/s11269-011-9880-4
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   JOrgensen HK, 2015, SUSTAINABLE URBAN DR
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Kleinert S, 2016, LANCET, V388, P2848, DOI 10.1016/S0140-6736(16)31578-1
   Klijn F, 2015, MITIG ADAPT STRAT GL, V20, P845, DOI 10.1007/s11027-015-9638-z
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   Kundzewicz ZW, 2002, WATER INT, V27, P3, DOI 10.1080/02508060208686972
   Lebel L., 2009, Contested waterscapes in the Mekong Region: hydropower, livelihoods and governance, P283
   Lebel L, 2006, ECOL SOC, V11
   Lochhead H, 2016, INT HIGH PERF BUILT
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Löwe R, 2018, ENVIRON MODELL SOFTW, V102, P155, DOI 10.1016/j.envsoft.2018.01.008
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   Mathur Anuradha., 2014, DESIGN TERRAIN WATER
   McEwen L, 2012, HYDROL RES, V43, P675, DOI 10.2166/nh.2012.022
   Nakao H, 2016, MONASH STEPS STAWELL
   Nelson M, 2007, CITYSCAPE, V9, P23
   Newman R, 2011, P I CIVIL ENG-ENG SU, V164, P95, DOI 10.1680/ensu.1000032
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   OECD, 2016, OECD REP SER, P15
   Olsen AS, 2015, WATER-SUI, V7, P255, DOI 10.3390/w7010255
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Perrings C, 2011, SCIENCE, V331, P1139, DOI 10.1126/science.1202400
   Quist J, 2011, TECHNOL FORECAST SOC, V78, P883, DOI 10.1016/j.techfore.2011.01.011
   Radhakrishnan M, 2019, P I CIVIL ENG-ENG SU, V172, P393, DOI 10.1680/jensu.17.00033
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Rip A, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P82
   Rogers BC, 2015, WATER SENSITIVE ELWO
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Sallis JF, 2016, LANCET, V388, P2936, DOI 10.1016/S0140-6736(16)30068-X
   Sayers PB, 2018, NATL ANAL TOOLSET SU
   Scott M, 2013, PLAN THEORY PRACT, V14, P103, DOI 10.1080/14649357.2012.761904
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P537, DOI 10.1016/j.envsci.2007.01.012
   The Economist Intelligence Unit, GLOB LIV IND
   UNDRR, 2015, SEND FRAM DIS RISK R
   Urich C, 2014, WATER SCI TECHNOL, V70, P1857, DOI 10.2166/wst.2014.363
   van de Kerkhof M, 2005, TECHNOL FORECAST SOC, V72, P733, DOI 10.1016/j.techfore.2004.10.002
   Wehn U, 2015, ENVIRON SCI POLICY, V48, P225, DOI 10.1016/j.envsci.2014.12.017
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
   Zischg J, 2019, SCI TOTAL ENVIRON, V651, P1709, DOI 10.1016/j.scitotenv.2018.10.061
NR 79
TC 25
Z9 27
U1 4
U2 48
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD APR 3
PY 2020
VL 378
IS 2168
SI SI
AR 20190201
DI 10.1098/rsta.2019.0201
PG 25
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA KO6JB
UT WOS:000515653700005
PM 32063172
OA Green Published, hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Jiricka-Pürrer, A
   Brandenburg, C
   Pröbstl-Haider, U
AF Jiricka-Puerrer, Alexandra
   Brandenburg, Christiane
   Proebstl-Haider, Ulrike
TI City tourism pre- and post-covid-19 pandemic - Messages to take home for
   climate change adaptation and mitigation?
SO JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND
   MANAGEMENT
LA English
DT Article
DE City tourism; Climate change adaptation Covid-19 pandemic
AB The paper presents the status quo on climate change impacts on city tourism in Austria describing the impacts by air travel and a short stay on the greenhouse gas emissions and the changing conditions in the city. For Austrian cities, depending on location and topography, heavy rainfall events, storms and heat waves in particular could become increasingly relevant in the tourism context. For medium-sized and large cities, heat is the most frequently discussed topic in connection with possible adaptation potentials. The analysis of challenges shows a strong overlap of adaptation targets in city tourism with adaptation challenges for city planning including connection to the sub-urban surrounding areas to confront climate change impacts. Covid-19 pandemic, additionally, offered the opportunity to discuss a new re-start of the city-tourism against the experience during the shutdown period in spring 2020. The paper argues that we can learn from the current health crisis for coping with climate change related extreme events and to increase achievements in climate change mitigation. Firstly, the pandemic provides a strong ability to discuss the impact of city tourism due to short-term air travel and options to enhance more climate-friendly options on the other hand. Secondly, Covid-19 emphasized the need to reconsider the role of free spaces in metropolitan areas as well as their accessibility. Herewith synergies with climate change adaptation are likely when questioning the availability and accessibility of green and blue infrastructure as well as their capacities. Challenges including crowding and impacts by over tourism on public free spaces will require joint strategies involving all public and private institutions (including local communities and businesses) responsible for the maintenance of green and blue free spaces. Thirdly, the strong interactions between urban and suburban areas became evident once more, which will also be very relevant for city tourism in the future (e.g. in times of heat waves). Reflection on the transferability of coping with such crowding effects, related to the adaptive behaviour of residents and tourists in times of severe heat waves, might be relevant for both city tourism and summer tourism destinations near metropolitan areas. Finally, the Covid-19 crisis encourages discussions on over-tourism in metropolitan destinations in favour of a more balanced approach, in particular in inner city areas and around major sightseeing attractions.
C1 [Jiricka-Puerrer, Alexandra; Brandenburg, Christiane; Proebstl-Haider, Ulrike] Univ Nat Resources & Life Sci, Peter Jordanstr 82, A-1190 Vienna, Austria.
C3 BOKU University
RP Jiricka-Pürrer, A (corresponding author), Univ Nat Resources & Life Sci, Peter Jordanstr 82, A-1190 Vienna, Austria.
EM alexandra.jiricka@boku.ac.at
OI Brandenburg, Christiane/0000-0002-7221-1451
FU Austrian Climate Research Programme (ACRP)
FX This discussion note results from a special report on climate change and
   tourism funded by the Austrian Climate Research Programme (ACRP)
   pertaining to the Austrian Climate and Energy Fund.
CR Allex B, 2011, F STARTCLIM2010 ANPA
   Allex B, 2011, HOT TOWN SUMMER CITY, V17
   Allex B., 2013, P 18 INT C URB PLANN, P393
   [Anonymous], 2017, OST STRAT ANP KLIM
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2017, RESPONSIBLE TOURISM
   Babcicky P., 2016, PATCHES PRIVATE ADAP
   Gómez-Martín MB, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8120255
   BMWFJ, 2010, NEUE OSTERREICHISCHE
   BMWFW W. K. O., 2015, ENERGIEMANAGEMENT HO
   Brandenburg C, 2015, FINANZIERT WIENER UM, V22, P112
   Bundesamt fur Umwelt (BAFU), 2018, HITZ STAADT HITZ STAADT
   Dezernat Statistik Wien, 2018, GAST WIEN NACH HERK GAST WIEN NACH HERK
   Die Zeit, 2020, ZEIT JUN ZEIT JUN, V4, P17
   Dubois G, 2016, CLIMATIC CHANGE, V136, P339, DOI 10.1007/s10584-016-1620-6
   EC-European Commission, 2013, SUPP IMPL GREEN INFR SUPP IMPL GREEN INFR
   EURAC Research, 2018, KLIM SUDT KLIM SUDT
   Fleischhacker V, 2009, KLIMAWANDEL REISEVER
   Fleischhacker V  ..., 2007, Die Sensitivitat des Sommertourismus in Osterreich auf den Klimawandel
   Fleischhacker V, 2019, ITR TOURISMUSREPORT ITR TOURISMUSREPORT
   FUR (Forschungsgemeinschaft Urlaub und Reisen), 2017, REISEANALYSE 2017 1
   Gössling S, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7010010
   Jorgensen MT, 2017, J TRAVEL TOUR MARK, V34, P880, DOI 10.1080/10548408.2016.1220889
   Juschten M, 2019, TOURISM MANAGE, V75, P293, DOI 10.1016/j.tourman.2019.05.014
   Juschten M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010214
   Krajasits C., 2008, ALSO WIKI ALPINER SO
   Kromp-Kolb H., 2007, AUSWIRKUNGEN KLIMAWA
   Kurier, 2020, KURIER AUG KURIER AUG, V14
   Land Salzburg, 2019, TOURISMUSSTATISTIK Z
   MA 23 Dezernat Statistik Wien, 2018, NACHT WIEN TOP 10 1
   obstl-Haider U, 2019, DESTINATIONSENTWICKL
   obstl-Haider U, 2019, APCC SPECIAL REPORT
   otz A, 2012, ANPASSUNG KLIMAWANDE, V2
   Serquet G, 2011, CLIMATIC CHANGE, V108, P291, DOI 10.1007/s10584-010-0012-6
   Stadt Innsbruck, 2019, STAT ZAHL TOUR ANK U STAT ZAHL TOUR ANK U
   Stadt Wien, 2016, KLIM KENNT WIEN 1954
   Statistik Austria, 2016, STAT JB 2016, P420
   Statistik Austria, 2017, PRESS PRESSEMITTEILUNG, V11, P565
   Trimble S. J, 2020, COVID 19 PANDEMIC IM
   Wien Tourismus, 2018, ANK WIEN 2003 17
   Wien Tourismus, 2019, WIEN URL PRIV URL EN WIEN URL PRIV URL EN
   Wirtschaftskammer Tirol, 2018, TOUR SOMM I WIED WIR TOUR SOMM I WIED WIR
   WKO, 2018, TOUR FREIZ ZAHL OST TOUR FREIZ ZAHL OST
   Zellmann P., 2017, FORSCHUNGSTELEGRAMM
   Zellmann P, 2015, URLAUBSREPUBLIK ZUKU
NR 45
TC 45
Z9 47
U1 2
U2 40
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2213-0780
EI 2213-0799
J9 J OUTDOOR REC TOUR
JI J. Outdo. Recreat. Tour. Res. Plan.
PD SEP
PY 2020
VL 31
AR 100329
DI 10.1016/j.jort.2020.100329
PG 6
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA TQ1EY
UT WOS:000678032000010
PM 38620337
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Wieliczko, B
   Florianczyk, Z
AF Wieliczko, Barbara
   Florianczyk, Zbigniew
TI Priorities for Research on Sustainable Agriculture: The Case of Poland
SO ENERGIES
LA English
DT Article
DE sustainable agriculture; research agenda; action research; backcasting;
   prioritization; living lab
ID BACKCASTING APPROACH; DECISION-MAKING; FRAMEWORK; FUTURE; POLICY; FOOD;
   TRANSITION; KNOWLEDGE; SECTOR
AB The need for sustainable agricultural sector is growing rapidly due to climate changes. As there are still knowledge gaps and the need for innovations that support farmers in the sustainability transition, there is a need for determining priority research areas that are vital for the sustainable development of agriculture. The aim of our study was to derive a long-term vision of the desirable agricultural sector in Poland and prioritize research areas required to make Polish agriculture sustainable. We applied the living lab approach and, by conducting a backcasting exercise with the lab members, we identified a desirable vision of agriculture in Poland and the research areas needed to realize this vision. Using Analytic Hierarchy Process (AHP) and Cumulative Voting (CV), we prioritized these research areas. Our results show that adaptation to climate changes is the most important area of research, having 38.6% of the total possible number of points using AHP and 29.7% in the case of CV. The analysis of the Polish strategic documents related to agriculture and agricultural research shows that, to some extent, these key research areas are already part of the national policy, but there is not sufficient funding and coordination to tackle all aspects of sustainability in agriculture.
C1 [Wieliczko, Barbara] Polish Acad Sci, Inst Rural & Agr Dev, Nowy Swiat 72, PL-00330 Warsaw, Poland.
   [Wieliczko, Barbara; Florianczyk, Zbigniew] European Rural Dev Network, Owocowa 8, PL-05822 Milanowek, Poland.
   [Florianczyk, Zbigniew] Natl Res Inst, Inst Agr & Food Econ, Swietokrzyska 20, PL-00002 Warsaw, Poland.
C3 Polish Academy of Sciences; Institute of Rural & Agricultural
   Development PAS; Institute of Agricultural & Food Economy
RP Wieliczko, B (corresponding author), Polish Acad Sci, Inst Rural & Agr Dev, Nowy Swiat 72, PL-00330 Warsaw, Poland.; Wieliczko, B (corresponding author), European Rural Dev Network, Owocowa 8, PL-05822 Milanowek, Poland.
EM bwieliczko@irwirpan.waw.pl; florianczyk@ierigz.waw.pl
RI Wieliczko, Barbara/AAG-7525-2021
OI Wieliczko, Barbara/0000-0003-3770-0409
FU Bill & Melinda Gates Foundation [OPP1193397]; Bill and Melinda Gates
   Foundation [OPP1193397] Funding Source: Bill and Melinda Gates
   Foundation
FX This research was funded by the Bill & Melinda Gates Foundation, grant
   number OPP1193397.
CR Adelaja A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112129
   Aitken R, 2019, YOUNG CONSUM, V20, P299, DOI 10.1108/YC-12-2018-0905
   [Anonymous], 2009, OR. Insight, DOI DOI 10.1057/ORI.2009.10
   Bendor R, 2021, FUTURES, V125, DOI 10.1016/j.futures.2020.102666
   Binz C, 2017, RES POLICY, V46, P1284, DOI 10.1016/j.respol.2017.05.012
   Brunner SH, 2016, ENVIRON MODELL SOFTW, V75, P439, DOI 10.1016/j.envsoft.2015.10.018
   Cagliero R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073997
   Chiabai A, 2020, ECOL ECON, V167, DOI 10.1016/j.ecolecon.2019.106401
   Collatto DC, 2018, SYST PRACT ACT RES, V31, P239, DOI 10.1007/s11213-017-9424-9
   Czyzewski B, 2018, AGR ECON-CZECH, V64, P101, DOI [10.17221/286/2016-AGRICECON, 10.17221/286/2016-agricecon]
   Davis KF, 2016, GLOBAL ENVIRON CHANG, V39, P125, DOI 10.1016/j.gloenvcha.2016.05.004
   de Sa G., 2020, INT J ADV ENG RES SC, V7, P209
   Dekker R, 2020, INT J PUBLIC ADMIN, V43, P1207, DOI 10.1080/01900692.2019.1668410
   Englund JS, 2020, ENERGIES, V13, DOI 10.3390/en13092325
   Ergu D, 2011, EUR J OPER RES, V213, P246, DOI 10.1016/j.ejor.2011.03.014
   European Commission, AGR FOR HOR 2020 PRO
   Florianczyk Z, 2012, GEOGR POL, V85, P45, DOI 10.7163/GPol.2012.1.4
   Gargano G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042215
   Guarnaccia P, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10101546
   Haslauer E, 2016, J ENVIRON PLANN MAN, V59, P866, DOI 10.1080/09640568.2015.1044652
   Hessels LK, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124760
   Holmberg J, 2000, INT J SUST DEV WORLD, V7, P291, DOI 10.1080/13504500009470049
   Höltl A, 2018, ENERGIES, V11, DOI 10.3390/en11010020
   Hossain M, 2019, J CLEAN PROD, V213, P976, DOI 10.1016/j.jclepro.2018.12.257
   Hudaib A., 2018, Modern Applied Science, V12, P62, DOI DOI 10.5539/MAS.V12N2P62
   IEEP, IS GREEN AMB LEFT EC
   Kalinauskaite I, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020614
   Korhonen J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104138
   Mandujano GG, 2021, J CLEAN PROD, V302, DOI 10.1016/j.jclepro.2021.126609
   Manners R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051962
   Masson JE, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-020-00693-7
   Mathiesen K., EU AGREES CLIMATE NE
   Nikolakis W, 2020, FUTURES, V122, DOI 10.1016/j.futures.2020.102603
   Nikulina V, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041007
   Nogués S, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104652
   Olson P, 2021, FUTURES, V128, DOI 10.1016/j.futures.2021.102703
   Poponi S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094718
   Purnhagen KP, 2021, TRENDS PLANT SCI, V26, P600, DOI 10.1016/j.tplants.2021.03.012
   Quba'a R, 2018, WIT TRANS ECOL ENVIR, V220, P3, DOI 10.2495/WRM170011
   Quist J, 2006, FUTURES, V38, P1027, DOI 10.1016/j.futures.2006.02.010
   Robinson J, 2003, FUTURES, V35, P839, DOI 10.1016/S0016-3287(03)00039-9
   Roggema R, 2021, LAND-BASEL, V10, DOI 10.3390/land10020158
   Rosa AB, 2021, EUR J FUTURES RES, V9, DOI 10.1186/s40309-021-00171-6
   Ryan-Fogarty Y, 2017, WASTE MANAGE, V61, P405, DOI 10.1016/j.wasman.2016.12.029
   SAATY RW, 1987, MATH MODELLING, V9, P161, DOI 10.1016/0270-0255(87)90473-8
   Saaty TL, 2008, RACSAM REV R ACAD A, V102, P251, DOI 10.1007/BF03191825
   Sabaei D, 2015, PROC CIRP, V37, P30, DOI 10.1016/j.procir.2015.08.086
   Sisto R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104288
   Slatmo E., SHERPA D5 1 METHODS
   Soria-Lara JA, 2018, TRANSPORT RES A-POL, V110, P26, DOI 10.1016/j.tra.2018.02.004
   Tsujimoto H, 2021, BMC MED EDUC, V21, DOI 10.1186/s12909-021-02538-6
   Tuominen A, 2014, FUTURES, V60, P41, DOI 10.1016/j.futures.2014.04.014
   Vallenga D, 2009, ACTA NEUROL BELG, V109, P81
   Van De Kerkhof M., 2002, Greener Manage. Int., V2002, P85, DOI 10.9774/GLEAF.3062.2002.sp.00008
   Vestola M., 2010, A Comparison of Nine Basic Techniques for Requirements Prioritization
   Viergever RF, 2010, HEALTH RES POLICY SY, V8, DOI 10.1186/1478-4505-8-36
   Vizeshfar F, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-10878-7
   Votruba N, 2021, HEALTH RES POLICY SY, V19, DOI 10.1186/s12961-020-00651-4
   Wächter P, 2012, SUSTAINABILITY-BASEL, V4, P193, DOI 10.3390/su4020193
   Wälitalo L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177046
   Wieliczko B, 2021, ENERGIES, V14, DOI 10.3390/en14165050
   Zhao AW, 2011, MANAG FINANC, V37, P465, DOI 10.1108/03074351111126942
NR 62
TC 8
Z9 8
U1 3
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD JAN
PY 2022
VL 15
IS 1
AR 257
DI 10.3390/en15010257
PG 21
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA YT3VH
UT WOS:000751290900001
OA gold
DA 2025-01-10
ER

PT J
AU Mishra, A
   Siderius, C
   Aberson, K
   van der Ploeg, M
   Froebrich, J
AF Mishra, Ashok
   Siderius, Christian
   Aberson, Kenny
   van der Ploeg, Martine
   Froebrich, Jochen
TI Short-term rainfall forecasts as a soft adaptation to climate change in
   irrigation management in North-East India
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Soft adaptation; Climate change; Weather forecast; Rice crop; North-East
   India; Irrigation
ID SEASONAL RAINFALL; WATER MANAGEMENT; SIMULATION; IMPACT; MODEL;
   PRODUCTIVITY; RESOURCES; WHEAT
AB We explored the potential of using short-term weather forecasts to increase irrigation efficiency in rice cultivation, as a potential adaptation option to future climate change. We used 5-day hypothetically perfect rainfall forecasts and 4-day real rainfall forecasts for 2007-2008 issued by the India Meteorological Department (IMD). The rainfall forecasts were incorporated into the agro-hydrological model SWAP (Soil Water Plant Atmosphere), to produce alternative irrigation schedules. The SWAP model was calibrated with data from field experiments at Kharagpur, North-East India. Rice yield simulations were performed for observed weather (1989-2009) and for a future climate with more dry spells and more intense rainfall events. The model revealed that basing the decision to irrigate rice on short-term weather forecasts could reduce average water application by 27% when 5-day perfect rainfall forecasts were used. Even though the real 4-day rainfall forecasts were not very accurate, their use also resulted in a reduction in irrigation water application. Using 5-day hypothetically perfect forecasts under future climate conditions led to a saving of 32% of irrigation water compared to water use under the current climate. (C) 2013 Elsevier B.V. All rights reserved.
C1 [Mishra, Ashok] IIT Kharagpur, Agr & Food Engn Dept, Kharagpur 721302, W Bengal, India.
   [Siderius, Christian; Froebrich, Jochen] Wageningen UR, ALTERRA, NL-6708 PB Wageningen, Netherlands.
   [Aberson, Kenny] Wageningen UR, Soil Phys Ecohydrol & Groundwater Management Grp, NL-6708 PB Wageningen, Netherlands.
   [van der Ploeg, Martine] Wageningen UR, Ctr Water & Climate Soil Phys Ecohydrol & Groundw, NL-6708 PB Wageningen, Netherlands.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur; Wageningen University & Research;
   Wageningen University & Research; Wageningen University & Research
RP Mishra, A (corresponding author), IIT Kharagpur, Agr & Food Engn Dept, Kharagpur 721302, W Bengal, India.
EM amishra@agfe.iitkgp.ernet.in; Christian.Siderius@wur.nl;
   k.aberson@gmail.com; Martine.vanderPloeg@wur.nl; jochen.froebrich@wur.nl
RI Mishra, Ashok/D-6478-2014; van der Ploeg, Martine/B-6121-2014
OI van der Ploeg, Martine/0000-0002-3172-7339; Siderius,
   christian/0000-0002-2201-9728
FU HighNoon project; European Commission [227087]
FX This work has been supported by the HighNoon project funded by the
   European Commission Framework Programme 7 under Grant Nr. 227087.
   Authors' would like to thank J. Burrough who advised and edited the
   English of this manuscript.
CR Abrol IP, 1999, AGR WATER MANAGE, V40, P31, DOI 10.1016/S0378-3774(98)00100-0
   Aggarwal P.K., 2009, GLOBAL CLIMATE CHANG, VVolume 118, P5
   Aggarwal PK, 2006, AGR SYST, V89, P47, DOI 10.1016/j.agsy.2005.08.003
   Agrawal MK, 2004, J IRRIG DRAIN ENG, V130, P129, DOI 10.1061/(ASCE)0733-9437(2004)130:2(129)
   Ainsworth EA, 2010, PLANT PHYSIOL, V154, P526, DOI 10.1104/pp.110.161349
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2008, World Population Prospects: The 2008 Revision
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   Attri SD, 2003, INT J CLIMATOL, V23, P693, DOI 10.1002/joc.896
   Bhandari P. M., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P919, DOI 10.1007/s11027-007-9106-5
   Bhowmik SKR, 2010, METEOROL ATMOS PHYS, V106, P19, DOI 10.1007/s00703-009-0047-2
   Bouman BAM, 2001, AGR WATER MANAGE, V49, P11, DOI 10.1016/S0378-3774(00)00128-1
   Chandrasekharam D., 2007, FOOD WATER SECURITY, P315
   Dam J. C. van, 2000, Field-scale water flow and solute transport: SWAP model concepts, parameter estimation and case studies
   Gowing JW, 2001, AGR WATER MANAGE, V47, P137, DOI 10.1016/S0378-3774(00)00101-3
   Hansen JW, 2006, CLIM RES, V33, P27, DOI 10.3354/cr033027
   Hansen JW, 2009, AGR SYST, V101, P80, DOI 10.1016/j.agsy.2009.03.005
   Hargreaves G. H., 1985, Applied Engineering in Agriculture, V1, P96
   Kumar P, 2013, SCI TOTAL ENVIRON, V468, pS18, DOI 10.1016/j.scitotenv.2013.01.051
   Mall RK, 2006, CLIMATIC CHANGE, V78, P445, DOI 10.1007/s10584-005-9042-x
   Milesi C, 2010, REMOTE SENS-BASEL, V2, P758, DOI 10.3390/rs2030758
   Mishra A, 2008, AGR FOREST METEOROL, V148, P1798, DOI 10.1016/j.agrformet.2008.06.007
   Moors EJ, 2011, ENVIRON SCI POLICY, V14, P758, DOI 10.1016/j.envsci.2011.03.005
   Mujumdar PP, 2008, PHYS CHEM EARTH, V33, P354, DOI 10.1016/j.pce.2008.02.014
   MURPHY AH, 1977, MON WEATHER REV, V105, P803, DOI 10.1175/1520-0493(1977)105<0803:TVOCCA>2.0.CO;2
   Rochester E., 1972, JAWRA J AM WATER RES, V8, P608, DOI [10.1111/j.1752-1688.1972.tb05183.x, DOI 10.1111/J.1752-1688.1972.TB05183.X]
   ROGERS DH, 1989, T ASAE, V32, P1669
   Roy Bhowmik S.K., 2009, IMD MET MONOGRAPH
   Roy D, 2009, COMPUT ELECTRON AGR, V65, P114, DOI 10.1016/j.compag.2008.08.005
   Sahoo S., 2004, THESIS INDIAN I TECH
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shah T, 2009, WORLD DEV, V37, P422, DOI 10.1016/j.worlddev.2008.05.008
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Supit I., 1994, Theory and Algorithms, V1, P146
   Swain DK, 2009, J ENVIRON INFORM, V13, P104, DOI 10.3808/jei.200900145
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Varshneya MC, 2010, J AGROMETEOROL, V12, P202
   Wang DB, 2009, J WATER RES PLAN MAN, V135, P364, DOI 10.1061/(ASCE)0733-9496(2009)135:5(364)
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   Wilks DS, 1998, AGR FOREST METEOROL, V89, P115, DOI 10.1016/S0168-1923(97)00066-X
   WorldBank, 2010, CLIM CHANG AD GUID N
   Wösten JHM, 1999, GEODERMA, V90, P169, DOI 10.1016/S0016-7061(98)00132-3
NR 42
TC 46
Z9 51
U1 1
U2 62
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD SEP
PY 2013
VL 127
BP 97
EP 106
DI 10.1016/j.agwat.2013.06.001
PG 10
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA 198PH
UT WOS:000322934300011
DA 2025-01-10
ER

PT J
AU Munaretto, S
   Vellinga, P
   Tobi, H
AF Munaretto, Stefania
   Vellinga, Pier
   Tobi, Hilde
TI Flood Protection in Venice under Conditions of Sea-Level Rise: An
   Analysis of Institutional and Technical Measures
SO COASTAL MANAGEMENT
LA English
DT Article
DE coastal management; climate change; institutions; storm surge barriers;
   water governance
ID LAGOON-OF-VENICE; COASTAL MANAGEMENT; CLIMATE-CHANGE; LAND; ADAPTATION;
   EVOLUTION; INSIGHTS; WATER
AB It is widely acknowledged that in times of climate change loss of coastal resources and risk for human life can be minimized by implementing adaptation strategies. Such strategies need to encompass a balanced mix of non-structural (institutional) and structural (technical) measures based on sound scientific knowledge. This article discusses measures carried out to protect the city of Venice, Italy from flooding (locally known as "high water"), and reflects on their ability to anticipate a possible acceleration of sea-level rise as induced by climate change. It is based on scientific literature, legislative and policy documents of key institutions, reports and documents of organizations working on Venice issues, newspaper articles, and interviews. Our analysis shows that the synergic action of the hydraulic defense infrastructure under construction is in principle adequate to withstand a broad range of sea-level rise scenarios for the next 100 years. However, when the goal is to use these investments effectively major changes in the existing institutional arrangements will be required in the years to come. The Venice findings point out the difficulties and yet the importance of identifying and implementing both non-structural and structural measures to adapt to climate change.
C1 [Munaretto, Stefania] Vrije Univ Amsterdam, Inst Environm Studies IVM, NL-1081 Amsterdam, Netherlands.
   [Munaretto, Stefania] Univ IUAV Venice, Fac Urban & Reg Planning, Venice, Italy.
   [Vellinga, Pier] Wageningen Univ, Alterra Res Inst, Wageningen, Netherlands.
   [Tobi, Hilde] Wageningen Univ, Res Methodol Grp, Wageningen, Netherlands.
C3 Vrije Universiteit Amsterdam; IUAV University Venice; Wageningen
   University & Research; Wageningen University & Research
RP Munaretto, S (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, De Boelelaan 1087, NL-1081 Amsterdam, Netherlands.
EM stefania.munaretto@vu.nl
RI Tobi, Hilde/A-1512-2013
CR Amorosino S., 2002, GOVERNO ACQUE SALVAG
   Amorosino S., 1996, SALVAGUARDIA VENEZIA
   [Anonymous], 1997, Hydropower Dams
   [Anonymous], VENEZIA ACQUE
   [Anonymous], 2004, ECOLOGICAL MANAGEMEN, DOI DOI 10.1111/J.1442-8903.2004.00206.X
   [Anonymous], 2009, GOVERNO ACQUA AMBIEN
   Bolin B, 1995, CLIMATE CHANGE 1995: THE SCIENCE OF CLIMATE CHANGE, pXI
   Bourdeau P., 1998, REPORT MOBILE GATES
   Brambati A, 2003, EPISODES, V26, P264, DOI 10.18814/epiiugs/2003/v26i3/020
   Camuffo D, 2004, GLOBAL PLANET CHANGE, V40, P93, DOI 10.1016/S0921-8181(03)00100-0
   Canestrelli P., 2001, ORAL HLTH STATUS ORA
   Carbognin L, 1995, LAND SUBSIDENCE, P129
   Carbognin L, 2004, J MARINE SYST, V51, P345, DOI 10.1016/j.jmarsys.2004.05.021
   Carbognin L, 2010, CLIM DYNAM, V35, P1055, DOI 10.1007/s00382-009-0617-5
   Castelletto N, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006177
   Cecconi G., 1997, QUADERNI TRIMESTRALI, VV, P23
   Co.Ri. La, 1999, ORAL HLTH STATUS ORA
   Comerlati A, 2004, J GEOPHYS RES-EARTH, V109, DOI 10.1029/2004JF000119
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   CVN, 2010, SAF LAG VEN HIGH WAT
   Da Mosto J., 2005, Flooding and environmental challenges for Venice and its lagoon: State of knowledge, P643
   Dente B, 2001, ECON ENERGY ENVIRONM, V16, P227
   EC, 2009, COMM STAFF WORK DOC
   EC, 1999, EC DEM PROGR ICZM RE
   *EC, 2009, AD CLIM CHANG EUR FR
   EUCC, 1999, 3 M GEN
   European Commission (EC), 1999, EUR INT COAST ZON MA
   Ferla M, 2007, ESTUAR COAST SHELF S, V75, P214, DOI 10.1016/j.ecss.2007.03.037
   FERRONATO M, 2008, EOS T AGU, V89, P152, DOI DOI 10.1029/2008EO160005
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Fletcher Caroline., 2004, The Science of Saving Venice
   Gacic M., 2002, EOS Trans. A.G.U, V83, P217
   Gambolati G, 2009, TERRA NOVA, V21, P467, DOI 10.1111/j.1365-3121.2009.00903.x
   GATTO P, 1981, HYDROL SCI B, V26, P379, DOI 10.1080/02626668109490902
   Gilbert J., 1990, CLIMATE CHANGE IPCC
   Holling C.S., 1978, Adaptive environmental assessment and management
   Italia Nostra, 2009, IT NOSTR SEZ VEN
   Kabat P, 2005, NATURE, V438, P283, DOI 10.1038/438283a
   Kundzewicz ZW, 2002, WATER INT, V27, P3, DOI 10.1080/02508060208686972
   LEWIN J, 1990, J INST WATER ENV MAN, V4, P70
   Mag.Acque-CVN, 1992, ORAL HLTH STATUS ORA
   Mag.Acque-CVN, 1997, ORAL HLTH STATUS ORA
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Ministero dell'Ambiente, 1998, GIUD COMP AMB PROG O
   Munaretto S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04772-170219
   Munaretto Stefania., 2011, Climate Law, V2, P219
   Musu I, 2001, ECON ENERGY ENVIRONM, V16, P1
   Obici G., 1967, VENEZIA FINO QUANDO
   OECD, 2010, TERR REV
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pirazzoli P. A., 2003, ORAL HLTH STATUS ORA, P256
   Pirazzoli P.A., 2006, Journal of Marine Environmental Engineering, V8, P247
   Pirazzoli PA, 2002, J COASTAL RES, V18, P537
   Pirazzoli PA, 1999, INT J CLIMATOL, V19, P1205, DOI 10.1002/(SICI)1097-0088(199909)19:11<1205::AID-JOC405>3.0.CO;2-D
   Plag H. P., 2008, WORKSH CLIM VEN N AD
   Ramieri E., 2000, 2200 FOND ENR MAT
   Ravera Oscar., 2000, Journal of Limnology, V59, P19, DOI DOI 10.4081/JLIMNOL.2000.19
   Rinaldo A, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR007195
   ROSATTI G, 2002, 28 CONV IDR COSTR ID
   Schrefler BA, 2009, TERRA NOVA, V21, P144, DOI 10.1111/j.1365-3121.2009.00867.x
   Scotti A., 2010, INT C DELT TIM CLIM
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Suman D, 2005, HYDROBIOLOGIA, V550, P251, DOI 10.1007/s10750-005-4393-x
   Teatini P, 2012, PHYS CHEM EARTH, V40-41, P72, DOI 10.1016/j.pce.2010.01.002
   Tosi L, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013211
   Tosi L, 2009, TECTONOPHYSICS, V474, P271, DOI 10.1016/j.tecto.2009.02.026
   Tosi L, 2010, REND LINCEI-SCI FIS, V21, P115, DOI 10.1007/s12210-010-0084-2
   Ufficio di Piano, 2007, PAR MON AMB LAG VEN
   Ufficio di Piano, 2008, ORAL HLTH STATUS ORA
   Ufficio di Piano, 2010, LEG SPEC VEN ATT SAL
   Umgiesser G., 2004, ATTI I VENETO SS LL, V162, P335
   Vellinga P., 2010, SEA LEVEL SCENARIOS
   Walters C., 1986, ADAPTIVE MANAGEMENT
   Wheaton E., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P215, DOI DOI 10.1023/A:1009660700150
   Zanchettin D, 2006, GLOBAL PLANET CHANGE, V50, P226, DOI 10.1016/j.gloplacha.2006.01.001
NR 78
TC 14
Z9 15
U1 1
U2 79
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0892-0753
EI 1521-0421
J9 COAST MANAGE
JI Coast. Manage.
PY 2012
VL 40
IS 4
BP 355
EP 380
DI 10.1080/08920753.2012.692311
PG 26
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 010WD
UT WOS:000309124300002
OA Green Submitted
DA 2025-01-10
ER

PT C
AU Veldhuizen, LJL
   Tapsuwan, S
   Burton, M
AF Veldhuizen, L. J. L.
   Tapsuwan, S.
   Burton, M.
BE Chan, F
   Marinova, D
   Anderssen, RS
TI Adapting to climate change: Are people willing to pay or change?
SO 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011)
LA English
DT Proceedings Paper
CT 19th International Congress on Modelling and Simulation (MODSIM)
CY DEC 12-16, 2011
CL Perth, AUSTRALIA
SP CSIRO, Australian Govt, Bur Meteorol, Per Convent & Exhibit Ctr, Perth Convent Bur, Curtin Univ, Australian Math Soc (Aust MS), Australian & New Zealand Ind & Appl Math (ANZIAM), Australian Math Sci Inst (AMSI), Maralte Publishers, Econ Soc Australian (ESA), HEMA Consulting, Simulat Australia, Stat Soc Australia Inc (SSAI), Modelling & Simulat Soc Australia & New Zealand Inc (MSSANZ), Int Assoc Math & Comp Simulat (IMACS)
DE choice experiment; WTP; climate policy; carbon tax; climate change
ID TO-PAY
AB Most urban and suburban households in Australia are not particularly vulnerable to climate change (as long as they are not in flood prone areas or are by the beach). When households do not perceive that they are vulnerable, they have less incentive to take any mitigation or adaptation actions against climate change. In reality, everyone will be affected by climate change because pricing of externalities (ie. carbon tax) will make everything more expensive. In light of this, what would households prefer to do? Would they choose to change their behaviours (e. g. drive less, turn off lights) to reduce carbon emissions in order to help the country reach its emission target, or would they prefer to pay the government (e. g. in the form of an income tax) so that they do not have to change their daily behaviours. How do these preferences vary with political preferences? A choice experiment survey was conducted to elicit households' willingness to pay for a number of climate change related policies. Results from a pilot survey of 100 households in Australia suggest that political party preference has a significant impact on household preference for climate change policy. Liberal party voters are averse to the carbon tax while non-Liberal party voters show support for carbon tax over a general income tax.
C1 [Veldhuizen, L. J. L.] Wageningen Univ, NL-6700 AP Wageningen, Netherlands.
C3 Wageningen University & Research
RP Veldhuizen, LJL (corresponding author), Wageningen Univ, NL-6700 AP Wageningen, Netherlands.
RI burton, michael/A-9541-2009; Tapsuwan, Sorada/G-5869-2010
OI burton, michael/0000-0003-4213-4093
CR [Anonymous], 2001, The choice modelling approach to environmental valuation
   Bennett J., 1999, CHOICE MODELLING RES
   Berk RA, 1999, CLIMATIC CHANGE, V41, P413, DOI 10.1023/A:1005489221644
   Brouwer R, 2008, CLIMATIC CHANGE, V90, P299, DOI 10.1007/s10584-008-9414-0
   Cai BL, 2010, ENVIRON RESOUR ECON, V46, P429, DOI 10.1007/s10640-010-9348-7
   Carlsson F., 2010, ENV DEV, P1
   Carson RT, 2010, ENERG POLICY, V38, P902, DOI 10.1016/j.enpol.2009.10.041
   Dunlop I., 2007, ECOS, V138, P9
   Hanley N, 2001, J ECON SURV, V15, P435, DOI 10.1111/1467-6419.00145
   Hess S, 2010, TRANSPORT RES B-METH, V44, P781, DOI 10.1016/j.trb.2009.12.001
   Kanninen B.J., 2006, Valuing Environmental Amenities Using Stated Choice Studies: A Common Sense Approach to Theory and Practice, volume 8 of The Economics of Non-Market Goods and Resources
   Lee JJ, 2008, ENVIRON RESOUR ECON, V41, P223, DOI 10.1007/s10640-007-9189-1
   MacKerron GJ, 2009, ENERG POLICY, V37, P1372, DOI 10.1016/j.enpol.2008.11.023
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Pearce D., 2002, EC VALUATION STATED, DOI DOI 10.4337/9781781009727
NR 15
TC 1
Z9 1
U1 0
U2 11
PU MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
PI CHRISTCHURCH
PA MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND
BN 978-0-9872143-1-7
PY 2011
BP 3003
EP 3009
PG 7
WC Computer Science, Interdisciplinary Applications; Operations Research &
   Management Science; Mathematics, Applied
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Operations Research & Management Science; Mathematics
GA BDU79
UT WOS:000314989302140
DA 2025-01-10
ER

PT J
AU Parsons, M
   Brown, C
   Nalau, J
   Fisher, K
AF Parsons, Meg
   Brown, Cilla
   Nalau, Johanna
   Fisher, Karen
TI Assessing adaptive capacity and adaptation: insights from Samoan tourism
   operators
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; small Islands; Pacific; adaptive capacity; cultural values
ID CLIMATE-CHANGE ADAPTATION; OF-THORNS STARFISH; GREAT-BARRIER-REEF;
   ACANTHASTER-PLANCI; POLICY ENVIRONMENT; SOUTH-PACIFIC; VULNERABILITY;
   PERCEPTIONS; COMMUNITY; ISLANDS
AB Many of the Small Island Developing States (SIDS) are known to be very vulnerable to climate change impacts. This is particularly so where national economies are highly dependent on tourism-related revenue. Yet, little is known of the adaptive capacities of tourism providers in SIDS and how they respond to climate variability and change. This research uses a case study of Samoa, a Pacific island nation, that is highly dependent on beach tourism and already vulnerable to a variety of natural hazards. The research examines the adaptive capacity of tourism operators in Samoa and the ways in which Faasamoa (the Samoan way of life) is a fundamental part of how tourism operators plan for and respond to climate variability and extremes. The findings indicate that key components of adaptive capacity for Samoan tourism operators include their past experiences of extreme events, access to resources, social networks, and worldviews. In many cases, Samoan cultural values and socio-cultural governance systems play a critical role in how adaptation takes place. In the Samoan context, this means that an indigenous Samoan tourism operator is rarely one individual, but a part of a wider social network, which influences how a business can or cannot adapt to climate variability and change and hazards.
C1 [Parsons, Meg; Brown, Cilla; Fisher, Karen] Univ Auckland, Sch Environm, Auckland, New Zealand.
   [Nalau, Johanna] Griffith Univ, Griffith Inst Tourism GIFT, Griffith Business Sch, GCCRP, Nathan, Qld, Australia.
C3 University of Auckland; Griffith University
RP Parsons, M (corresponding author), Univ Auckland, Sch Environm, Auckland, New Zealand.
EM meg.parsons@auckland.ac.nz
RI Fisher, Karen/HJH-3615-2023; Nalau, Johanna/V-5692-2018; Parsons,
   Meg/C-2405-2019
OI Nalau, Johanna/0000-0001-6581-3967; Parsons, Meg/0000-0001-8721-659X;
   Fisher, Karen T/0000-0002-1774-4431
CR Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Amosa DU, 2010, COMMONW J LOCAL GOV, P7
   Anae M., 2016, Knowledge Cultures, V4, P117
   [Anonymous], TAFESILAFAI EXPLORIN
   [Anonymous], MIGRATION REMITTANCE
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Barnett J., 2016, The Palgrave handbook of international development, P731, DOI DOI 10.1057/978-1-137-42724-3-40
   Barnett J, 2008, POLIT SCI, V60, P31, DOI 10.1177/003231870806000104
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Baxter J., 2010, Qualitative Research Methods in Human Geography, P81
   Becken S, 2005, GLOBAL ENVIRON CHANG, V15, P381, DOI 10.1016/j.gloenvcha.2005.08.001
   Becken S, 2007, CLIM CHANG ECON SOC, P1
   Becken S, 2013, TOURISM GEOGR, V15, P620, DOI 10.1080/14616688.2012.762541
   Belle N., 2005, Journal of Travel Research, V44, P32, DOI 10.1177/0047287505276589
   Brodie J, 2005, MAR POLLUT BULL, V51, P266, DOI 10.1016/j.marpolbul.2004.10.035
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brouder P, 2011, J SUSTAIN TOUR, V19, P919, DOI 10.1080/09669582.2011.573073
   Buggy L, 2016, CLIM DEV, V8, P270, DOI 10.1080/17565529.2015.1041445
   Cameron E, 2015, ANN ASSOC AM GEOGR, V105, P274, DOI 10.1080/00045608.2014.973006
   Campbell J., 1997, Proceedings of the VIII Pacific Science Inter-Congress, United Nations Department for Humanitarian Affairs, Suva, P53
   Colding J., 2003, NAVIGATING SOCIAL EC, P163, DOI [10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957]
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   De'ath G, 1998, J EXP MAR BIOL ECOL, V220, P107, DOI 10.1016/S0022-0981(97)00100-7
   Dumaru P, 2010, WIRES CLIM CHANGE, V1, P751, DOI 10.1002/wcc.65
   Elrick-Barr CE, 2017, REG ENVIRON CHANGE, V17, P1141, DOI 10.1007/s10113-016-1016-1
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Fairbairn T.O.J., 1997, EC IMPACT NATURAL DI
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Gero A., 2013, 206 NCCARF
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   HAUOFA E, 1994, CONTEMP PACIFIC, V6, P147
   Huffer E, 2005, CONTEMP PACIFIC, V17, P311, DOI 10.1353/cp.2005.0054
   Huffer Elise., 2000, Governance in Samoa = pulega i Samoa
   Hughey KFD, 2014, GLOBAL ENVIRON CHANG, V27, P168, DOI 10.1016/j.gloenvcha.2014.03.004
   Hunter D., 1998, Journal of South Pacific Agriculture, V5, P44
   Jiang M, 2015, CONTEMP GEOGR LEIS T, V48, P239
   Jolly M, 2007, CONTEMP PACIFIC, V19, P508, DOI 10.1353/cp.2007.0054
   Jopp R, 2013, ASIA PAC J TOUR RES, V18, P144, DOI 10.1080/10941665.2012.688515
   Kallen Evelyn., 1982, The Western Samoan Kinship Bridge: A Study in Migration, Social Change and the New Ethnicity
   Kamya PZ, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0778
   Keskitalo ECH, 2011, REG ENVIRON CHANGE, V11, P579, DOI 10.1007/s10113-010-0182-9
   Klint LM, 2012, CURR ISSUES TOUR, V15, P247, DOI 10.1080/13683500.2011.608841
   Kuruppu N, 2016, LANCET, V387, P430, DOI 10.1016/S0140-6736(16)00170-7
   Kuruppu N, 2015, WEATHER CLIM EXTREME, V7, P72, DOI [10.1016/j.wace.2014.06.001, 10.1010/j.wace.2014.06.001]
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Lata S, 2012, CLIMATIC CHANGE, V110, P169, DOI 10.1007/s10584-011-0062-4
   Le De L., 2016, Migration and Development, V5, P130, DOI DOI 10.1080/21632324.2015.1017971
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Lilomaiava-Niko S., 1993, ANAL APPROACHES MIGR
   Macpherson Cluny., 1994, PACIFIC VIEWPOINT, V17, P83
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McLean R, 2015, WIRES CLIM CHANGE, V6, P445, DOI 10.1002/wcc.350
   Meleisea Malama., 2005, Culture and Sustainable Development in the Pacific, Antony Hooper, P76
   Meleisea P.S., 1987, Lagaga: A short history of Western Samoa (editorips@ usp. ac. fj)
   MORAN PJ, 1988, CORAL REEFS, V7, P125, DOI 10.1007/BF00300972
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   MULIAINA T, 2006, REMITTANCES MICROFIN, V1, P26
   Nalau J, 2017, WEATHER CLIM SOC, V9, P377, DOI 10.1175/WCAS-D-16-0078.1
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   O'Neill SJ, 2016, GEO-GEOGR ENVIRON, V3, DOI 10.1002/geo2.v3.2
   Parsons M, 2015, APPLIED STUDIES IN CLIMATE ADAPTATION, P283
   Preston B., 2009, FRAMING VULNERABILIT
   Samoan Tourism Authority, 2012, NAT TOUR CLIM CHANG
   Sauni S.L., 2011, PACIFIC ASIAN ED, V23, P53
   Scheyvens R., 2005, Nature-based tourism in peripheral areas: development or disaster?, P188
   Scheyvens R, 2006, TOUR RECREAT RES, V31, P75, DOI 10.1080/02508281.2006.11081507
   Scheyvens R, 2008, CONTEMP GEOGR LEIS T, P131
   Schott C, 2010, BRIDG TOUR THEOR PRA, V3, P1
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Scott D., 2006, Journal of Sustainable Tourism, V14, P376, DOI 10.2167/jost550.0
   Shakeela A, 2015, J SUSTAIN TOUR, V23, P65, DOI 10.1080/09669582.2014.918135
   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
   Smith L.T., 2002, DECOLONIZING METHODO
   Suaalii-Sauni T, 2014, ASIA PAC VIEWP, V55, P331, DOI 10.1111/apv.12061
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   Thornton A, 2010, ASIA PAC VIEWP, V51, P1, DOI 10.1111/j.1467-8373.2010.01410.x
   United Nations Development Program, 2014, SAM COUNTR PROF
   Va'a L.F., 2001, Saili Matagi: Samoan migrants in Australia
   Vaai Saleimoa., 1999, Samoa Faamatai and the Rule of Law. Le Papa-I-
   Vaioleti T., 2016, Waikato J. Educ, V12, P21, DOI [10.15663/wje.v12i1.296, DOI 10.15663/WJE.V12I1.296]
   Warrick O., 2010, CLIMATE CHANGE SOCIA
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Wong E, 2013, ASIA PAC J TOUR RES, V18, P52, DOI 10.1080/10941665.2012.688511
   Wong EPY, 2012, TOUR MANAG PERSPECT, V4, P136, DOI 10.1016/j.tmp.2012.08.001
NR 92
TC 47
Z9 52
U1 4
U2 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PY 2018
VL 10
IS 7
BP 644
EP 663
DI 10.1080/17565529.2017.1410082
PG 20
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA GS7AN
UT WOS:000443851700006
DA 2025-01-10
ER

PT J
AU San-Juan-Heras, R
   Gabriel, JL
   Delgado, MM
   Alvarez, S
   Martinez, S
AF San-Juan-Heras, Raul
   Gabriel, Jose L.
   Delgado, Maria M.
   Alvarez, Sergio
   Martinez, Sara
TI Scientometric analysis of cover crop management: Trends, networks, and
   future directions
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Science mapping; Bibliometric analysis; Crops; Agriculture; VOSviewer
ID SOIL; TILLAGE
AB This research paper presents a comprehensive scientometric analysis of English articles from the Scopus database regarding the topic of cover crop management from 1956 to March 2024. Through the analysis of the annual production trend, total production, a co-occurrence network of keywords, co-authorship networks, and co- citation networks, the data was mapped and visualized using VOSviewer and Bibliometrix software. There was an exponential increase in publications from 1991 onwards. The predominant subject was Agricultural and Biological Sciences and the most relevant journals, authors, and documents were related to this topic. Additionally, the most productive country was the United States, but in terms of article production per surface area, other countries, such as Switzerland and The Netherlands, evidence the great weight of cover crop management in these countries. The identified research topics were related to the application of different crops as cover crops and the effects on different cultivars, also soil quality improvement, and fertilization and nutrient efficiency. An emerging research topic was found to be the usefulness of cover crops as effective tools for climate change adaptation and mitigation strategies in agriculture. Future research in the field of cover crop management could be directed towards climate-adaptive cover crop species and varieties, the use of technological innovations for cover crop monitoring, and management and analysis of the economic and social impacts of cover crop adoption.
C1 [San-Juan-Heras, Raul; Gabriel, Jose L.; Delgado, Maria M.] Inst Nacl Invest n & Tecnol Agr & Alimentaria INIA, CSIC, Environm & Agron Dept, Ctra Coruna Km 7,5, Madrid 28040, Spain.
   [San-Juan-Heras, Raul] Univ Politecn Madrid, Escuela Tecnicacn Suerior Ingn Agron Alimentaria &, Ave Puerta Hierro 2, Madrid 28040, Spain.
   [Gabriel, Jose L.] UPM, Ctr Estudios & Invest Gest Riesgos Agr & Medioambi, Madrid 28040, Spain.
   [Alvarez, Sergio; Martinez, Sara] Univ Politecn Madrid, Dept Ingn & Morfol Terreno, Escuela Tecnicacn Super Ingn Caminos Canales & Pue, Calle Prof Aranguren 3, Madrid 28040, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); Universidad
   Politecnica de Madrid; Universidad Politecnica de Madrid; Universidad
   Politecnica de Madrid
RP Gabriel, JL (corresponding author), INIA CSIC, Dept Medio Ambiente Agron, Ctra Coruna Km 7-5, Madrid 28040, Spain.
EM gabriel.jose@inia.csic.es
RI San-Juan-Heras, Raúl/HCI-7358-2022; Gabriel, Jose Luis/B-9605-2013
OI Gabriel, Jose Luis/0000-0002-5508-4120
FU MCIN/AEI; PTI AGRIAMBIO (MAPA-CSIC agreement);  [PID2021-124041OB-C21]
FX This study was supported by the project PID2021-124041OB-C21.
   RESUENA-Legumes, funded by MCIN/AEI/10.13039/501100011033/, and by PTI
   AGRIAMBIO (MAPA-CSIC agreement) . The authors would like to thank
   Adriann Garcia.
CR Abdin OA, 2000, EUR J AGRON, V12, P93, DOI 10.1016/S1161-0301(99)00049-0
   Adetunji AT, 2020, SOIL TILL RES, V204, DOI 10.1016/j.still.2020.104717
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Baas J, 2020, QUANT SCI STUD, V1, P377, DOI 10.1162/qss_a_00019
   Baca D., 2023, Environ. Adv, V13, DOI [10.1016/j.envadv.2023.100439, DOI 10.1016/J.ENVADV.2023.100439, 10.1016/J.ENVADV.2023.100439]
   Blanco-Canqui H, 2020, SOIL SCI SOC AM J, V84, P1527, DOI 10.1002/saj2.20129
   Blanco-Canqui H, 2015, AGRON J, V107, P2449, DOI 10.2134/agronj15.0086
   Braos LB, 2023, NITROGEN-BASEL, V4, P85, DOI 10.3390/nitrogen4010007
   Cai KY, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e17075
   Chami B, 2023, AGR ENV LETT, V8, DOI 10.1002/ael2.20114
   Chen L, 2022, J ENVIRON MANAGE, V324, DOI 10.1016/j.jenvman.2022.116168
   Confederation Suisse, 2023, Agriculture
   Crookston BS, 2023, J SOIL WATER CONSERV, V78, P272, DOI [10.2489/jswc.2023.00015, 10.2489/jSWC.2023.00015]
   Dabney SM, 2001, COMMUN SOIL SCI PLAN, V32, P1221, DOI 10.1081/CSS-100104110
   De Notaris C, 2021, AGR ECOSYST ENVIRON, V309, DOI 10.1016/j.agee.2020.107287
   Decker HL, 2022, SOIL SCI SOC AM J, V86, P1312, DOI 10.1002/saj2.20454
   Dzvene AR, 2023, AIR SOIL WATER RES, V16, DOI 10.1177/11786221231180079
   EIT FOOD, Danish agriculture accounts for up to one fifth of Denmark's total export
   Government of the Netherlands, 2023, Agric. Hortic
   Groff S, 2015, J SOIL WATER CONSERV, V70, p130A, DOI 10.2489/jswc.70.6.130A
   Haghani M, 2023, TRANSP RES INTERDISC, V22, DOI 10.1016/j.trip.2023.100956
   Haruna SI, 2020, AGROSYS GEOSCI ENV, V3, DOI 10.1002/agg2.20105
   Huang QL, 2023, J CLEAN PROD, V419, DOI 10.1016/j.jclepro.2023.138247
   Jacobs AA, 2022, SOIL TILL RES, V218, DOI 10.1016/j.still.2021.105310
   Joshi DR, 2023, AGRON J, V115, P1543, DOI 10.1002/agj2.21340
   Kamali M, 2020, CHEM ENG J, V395, DOI 10.1016/j.cej.2020.125128
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Li YZ, 2022, ENVIRON MODELL SOFTW, V149, DOI 10.1016/j.envsoft.2022.105329
   Liebert J, 2023, AGRON J, V115, P1938, DOI 10.1002/agj2.21390
   Liu Y, 2022, ENVIRONMENTS, V9, DOI 10.3390/enyironments9090120
   Martínez-López FJ, 2020, IND MARKET MANAG, V84, P19, DOI 10.1016/j.indmarman.2019.07.014
   McKenzie-Gopsill A, 2023, WEED BIOL MANAG, V23, P48, DOI 10.1111/wbm.12267
   McKenzie-Gopsill A, 2022, WEED SCI, V70, P436, DOI 10.1017/wsc.2022.28
   Mirsky SB, 2023, AGRON J, V115, P1746, DOI 10.1002/agj2.21369
   Mirsky SB, 2017, AGRON J, V109, P1520, DOI 10.2134/agronj2016.09.0557
   Mirsky SB, 2015, AGRON J, V107, P2391, DOI 10.2134/agronj14.0523
   Mirsky SB, 2012, RENEW AGR FOOD SYST, V27, P31, DOI 10.1017/S1742170511000457
   Mirsky SB, 2009, AGRON J, V101, P1589, DOI 10.2134/agronj2009.0130
   Nordblom T, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13030688
   Peterson CA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.604099
   Plaza-Bonilla D, 2017, EUR J AGRON, V82, P331, DOI 10.1016/j.eja.2016.05.010
   Quintarelli V, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12122076
   Salinas-Ros K., 2022, Journal of Basic and Applied Psychology Research, V3, P9, DOI [10.29057/jbapr.v3i6.6829, DOI 10.29057/JBAPR.V3I6.6829]
   Teasdale JR, 2000, WEED SCI, V48, P385, DOI 10.1614/0043-1745(2000)048[0385:TQRBWE]2.0.CO;2
   Thorup-Kristensen K, 2003, ADV AGRON, V79, P227, DOI 10.1016/S0065-2113(02)79005-6
   Van Eck N.J., 2014, Measuring Scholarly Impact, P285, DOI [10.1007/978-3-319-10377-8_13(InEng.), 10.1007/978-3-319-10377-8_13, DOI 10.1007/978-3-319-10377-8_13, DOI 10.1007/978-3-319-10377-813]
   Vann RA, 2019, AGRON J, V111, P805, DOI 10.2134/agronj2018.03.0202
   Villanueva EM, 2022, AUTOMATION-BASEL, V3, P439, DOI 10.3390/automation3030023
   Wallace JM, 2017, AGRICULTURE-BASEL, V7, DOI 10.3390/agriculture7040034
   Zhang HL, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0286748
   Zhou Q, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100249
NR 51
TC 0
Z9 0
U1 6
U2 6
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1161-0301
EI 1873-7331
J9 EUR J AGRON
JI Eur. J. Agron.
PD NOV
PY 2024
VL 161
AR 127355
DI 10.1016/j.eja.2024.127355
EA SEP 2024
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA H0D2E
UT WOS:001320231200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Satyal, P
   Byskov, MF
   Hyams, K
AF Satyal, Poshendra
   Byskov, Morten Fibieger
   Hyams, Keith
TI Addressing multi-dimensional injustice in indigenous adaptation: the
   case of Uganda's Batwa community
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate adaptation; indigenous peoples; multi-dimensional injustice;
   distributive justice; recognition; participation; procedural justice;
   Batwa; Uganda
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL JUSTICE; ADAPTIVE CAPACITY;
   VULNERABILITY; IMPACTS; HEALTH; CAPABILITIES; LEVEL
AB Indigenous peoples, who depend on their environment for livelihoods and are often subject to poverty and socio-economic marginalization, are some of the most vulnerable to climate change. While the rights of Indigenous peoples are recognized internationally, these are not translated into adaptation responses. Using insights from theories of environmental justice in the case of Uganda's Batwa community, we assess how justice-related factors impact their adaptive capacities and whether these are incorporated in the design and implementation of adaptation responses. Our findings reveal a multi-dimensional range of systemic injustices experienced by Batwa, resulting from their continued social-economic, cultural and political marginalization. Additionally, a variety of projects are happening locally in relation to 'adaptation' but not labelled as such, suggesting how Batwa's vulnerability is rooted in wider aspects of livelihoods and development. Most projects tend to focus on distribution of material benefits, while less attention is paid to the more intricate issues of compensation, political discrimination and uneven participation. This depoliticized and compartmentalized approach suggests a slow and incomplete way of operationalizing justice. Hence, we call for sincere efforts to address recognition, rights, and disproportionate levels of disadvantage for Indigenous communities, including their constitutional recognition, financial redress and participation in decision-making.
C1 [Satyal, Poshendra; Byskov, Morten Fibieger; Hyams, Keith] Univ Warwick, Dept Polit & Int Studies, Coventry, W Midlands, England.
   [Satyal, Poshendra] BirdLife Int, Policy Team, Cambridge, England.
C3 University of Warwick; BirdLife International
RP Satyal, P (corresponding author), Univ Warwick, Dept Polit & Int Studies, Coventry, W Midlands, England.; Satyal, P (corresponding author), BirdLife Int, Policy Team, Cambridge, England.
EM poshendrasatyal@gmail.com
OI Hyams, Keith/0000-0003-3755-646X; Satyal, Poshendra/0000-0003-3503-5011
FU British Academy's Tackling UK's International Challenges Programme
   [IC2_100139]
FX This study was part of the Remedying Injustice in Indigenous Climate
   Adaptation Planning project in the Department of Politics and
   International Studies at the University of Warwick. The project was
   funded by a grant from the British Academy's Tackling UK's International
   Challenges Programme 2018 [grant number IC2_100139].
CR Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Alfano M., 2018, EXTENDED KNOWLEDGE, P239
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2007, UN DECL RIGHTS IND P
   [Anonymous], 2018, Glossary
   [Anonymous], 2003, LAND POLICIES GROWTH
   [Anonymous], 2013, ENV JUSTICE CONCEPTS
   Barrett S, 2013, PROG HUM GEOG, V37, P215, DOI 10.1177/0309132512448270
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berrang-Ford L, 2012, SOC SCI MED, V75, P1067, DOI 10.1016/j.socscimed.2012.04.016
   Blomley T, 2003, NATURAL RESOURCE CON
   Blomley Tom., 2010, Development and gorillas?: Assessing fifteen years of integrated conservation and development in south-western Uganda: IIED
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bwindi Mgahinga Conservation Trust, 2016, BATW POP CENS REP 20
   Byskov MF, 2021, CLIM DEV, V13, P1, DOI 10.1080/17565529.2019.1700774
   Byskov MF, 2018, ROU RES APP ETH
   Dawson NM, 2018, ENVIRON SCI POLICY, V88, P1, DOI 10.1016/j.envsci.2018.06.009
   Dunk RM, 2016, CLIM CHANG MANAG, P75, DOI 10.1007/978-3-319-28591-7_5
   Few Roger., 2015, Vulnerability and Adaptation to Climate Change in the Semi-Arid Regions of East Africa
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ford J, 2016, CLIMATIC CHANGE, V139, P429, DOI 10.1007/s10584-016-1820-0
   Ford JD, 2018, GLOBAL ENVIRON CHANG, V49, P129, DOI 10.1016/j.gloenvcha.2018.02.006
   Fraser N, 2000, NEW LEFT REV, P107
   Fricker M, 2008, THEORIA-SPAIN, V23, P69
   Gusinde M., 1955, ANTHROPOL QUART, V28, P3, DOI DOI 10.2307/3316712
   Hamilton A, 2000, CONSERV BIOL, V14, P1722, DOI 10.1111/j.1523-1739.2000.99452.x
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Honneth Axel., 1995, STRUGGLE RECOGNITION
   Hove H., 2011, Review of Current and Planned Adaptation Action: East Africa
   ILO, 1989, IND TRIB PEOPL CONV
   Kansiime MK, 2012, CLIM DEV, V4, P275, DOI 10.1080/17565529.2012.730035
   Kronik Jakob., 2010, INDIGENOUS PEOPLES C, DOI 10.1596/978-0-8213-8237-0
   Labbé J, 2016, MITIG ADAPT STRAT GL, V21, P931, DOI 10.1007/s11027-015-9635-2
   Lindley S., 2011, Climate change, justice and vulnerability
   Lyster R, 2017, ENVIRON POLIT, V26, P438, DOI 10.1080/09644016.2017.1287626
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Martin A, 2015, CONSERV SOC, V13, P166, DOI 10.4103/0972-4923.164200
   Martin T, 2013, JUSTICES INJUSTICES, P69
   Mathur VN, 2014, CLIM POLICY, V14, P42, DOI 10.1080/14693062.2013.861728
   McGahey, 2018, DEV ADAPTATION SPECT
   Meybeck A., 2019, Climate Change Vulnerability Assessment of Forests and Forest-Dependent People: A Framework Methodology (FAO Forestry Paper-183)
   Nussbaum MC., 2011, Creating capabilities: the human development approach
   Oviedo G., 2009, Indigenous Peoples and Climate Change
   Oxfam, 2017, Uprooted by Climate Change, Responding to the Growing Risk of Displacement
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola J., 2002, Tyndall Centre Working Pap, V23, P37
   Page EA, 2006, CLIMATE CHANGE, JUSTICE AND FUTURE GENERATIONS, P1
   Pellow DN, 2016, DU BOIS REV, V13, P221, DOI 10.1017/S1742058X1600014X
   Pulido L, 2018, ENVIRON PLAN E-NAT, V1, P76, DOI 10.1177/2514848618770363
   Robeyns I., 2017, WELLBEING FREEDOM SO
   Robeyns I., 2016, The Stanford encyclopedia of philosophy
   Salick Jan., 2007, INDIGENOUS PEOPLES C
   Schlosberg D., 2003, MORAL POLITICAL REAS
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Scoville-Simonds R., 2015, ADAPTATION AS DEV SO
   Sikor T., 2014, JUSTICES INJUSTICE E
   Sikor T, 2014, GEOFORUM, V54, P151, DOI 10.1016/j.geoforum.2014.04.009
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sovacool BK, 2018, WORLD DEV, V102, P183, DOI 10.1016/j.worlddev.2017.10.014
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tadie K., 2010, BATWA UGANDA FORGOTT
   Tan Y, 2015, POPUL ENVIRON, V36, P400, DOI 10.1007/s11111-014-0223-2
   Thew H, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102036
   United Nations, 2009, The State of the Worlds Indigenous Peoples
   Verburg R., 2010, CLIMATE CHANGE E AFR
   Walker G, 2006, GEOFORUM, V37, P655, DOI 10.1016/j.geoforum.2005.12.002
   Whyte K., 2017, INT J INDIG LIT ARTS, V19, P1
   Wood BT, 2018, RESOURCES-BASEL, V7, DOI 10.3390/resources7020036
   World Bank, 2013, COUNTR PROF UG
NR 71
TC 7
Z9 8
U1 3
U2 26
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 3
PY 2021
VL 13
IS 6
BP 529
EP 542
DI 10.1080/17565529.2020.1824888
EA OCT 2020
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA SJ1YK
UT WOS:000577691100001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Harish, S
   Singh, N
   Tongia, R
AF Harish, Santosh
   Singh, Nishmeet
   Tongia, Rahul
TI Impact of temperature on electricity demand: Evidence from Delhi and
   Indian states
SO ENERGY POLICY
LA English
DT Article
DE Temperature response of electricity demand; Cooling demand; India;
   Climate adaptation
ID CLIMATE-CHANGE; ENERGY USE; CONSUMPTION; FLUCTUATIONS; MORTALITY;
   WEATHER
AB Electricity for cooling improves health and quality of life and is an important mode of adapting to extreme weather conditions and to climate change. This study measures the change in electricity demand in response to weather shocks at the household level in Delhi, and at various aggregate levels in India. Our econometric analysis uses a semi-parametric model to capture the nonlinearity of short-run temperature response. On average, aggregate electricity demand in India increases by 11% or more at temperatures above 30 degrees C from demand at temperatures of 21-24 degrees C, with substantial heterogeneity across states. Aggregate demand in Delhi increases by 30% or more at temperatures above 30 degrees C. Using rich micro-data on electricity demand in Delhi, we do a first-of-its-kind estimation of household-level temperature response. We find evidence that low-income consumers, especially those living in slums, show limited incremental response to high temperatures, likely due to an absence of cooling options. These findings underscore the need to improve our understanding of the constraints posed by poverty on climate change adaptation, and for interventions to mitigate risks of heat stress among the poor. This also suggests rising affluence will lead to sharp increases in electricity demand for cooling.
C1 [Harish, Santosh] Ctr Policy Res, New Delhi, India.
   [Singh, Nishmeet] Int Food Policy Res Inst, New Delhi, India.
   [Tongia, Rahul] Brookings India, New Delhi, India.
C3 CGIAR; International Food Policy Research Institute (IFPRI)
RP Harish, S (corresponding author), Ctr Policy Res, New Delhi, India.
EM santosh@cprindia.org
RI Singh, Nishmeet/HNJ-3940-2023
OI Singh, Nishmeet/0000-0003-0358-4964
FU Shakti Sustainable Energy Foundation
FX The authors would like to thank Tata Power Delhi Distribution Ltd.
   (TPDDL) and the Power Operation System Corporation Ltd. (POSOCO) for
   sharing data and important inputs for this analysis. Harish and Singh
   were affiliated with the Energy Policy Institute at the University of
   Chicago-India center when substantive work for this paper was done, and
   would like to acknowledge the support they were provided there. Portions
   of this work fit within studies at Brookings India supported by the
   Shakti Sustainable Energy Foundation. We would also like to thank the
   two anonymous referees for their comments that have substantially
   strengthened the paper.
CR [Anonymous], EL DEM PATT AN
   [Anonymous], 2016, RESIDENTIAL ELECTRIC
   [Anonymous], URB SLUMS DELH REP B
   [Anonymous], 2016, IND POV PROF SNAPSH
   [Anonymous], DERC SUPPL COD PERF
   [Anonymous], RETHINKING ACCESS EL
   [Anonymous], IND COOL ACT PLAN
   Apadula F, 2012, APPL ENERG, V98, P346, DOI 10.1016/j.apenergy.2012.03.053
   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]
   Barreca A, 2016, J POLIT ECON, V124, P105, DOI 10.1086/684582
   Bessec M, 2008, ENERG ECON, V30, P2705, DOI 10.1016/j.eneco.2008.02.003
   Chang Y, 2016, ENERG ECON, V60, P206, DOI 10.1016/j.eneco.2016.09.016
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Deschênes O, 2011, AM ECON J-APPL ECON, V3, P152, DOI 10.1257/app.3.4.152
   Donat MG, 2013, J GEOPHYS RES-ATMOS, V118, P2098, DOI 10.1002/jgrd.50150
   Gupta E, 2016, CLIM CHANG ECON, V7, DOI 10.1142/S2010007816500032
   Gupta E, 2012, ENERG ECON, V34, P1407, DOI 10.1016/j.eneco.2012.04.014
   Heller Patrick., 2015, Exclusion, Informality, and Predation in the Cities of Delhi: An Overview of the Cities of Delhi Project
   International Energy Agency, 2018, The Future of Cooling: Opportunities for Energy-Efficient Air-Conditioning
   Khosla R, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3760
   Knowlton K, 2014, INT J ENV RES PUB HE, V11, P3473, DOI 10.3390/ijerph110403473
   NSSO, 2012, HOUS CONS VAR GOODS
   Pardo A, 2002, ENERG ECON, V24, P55, DOI 10.1016/S0140-9883(01)00082-2
   Pilli-Sihvola K, 2010, ENERG POLICY, V38, P2409, DOI 10.1016/j.enpol.2009.12.033
   Planning Commission, 2014, ANN REP WORK STAT PO
   Planning Department, 2019, Economic survey of Delhi 2018-19
   Rai V, 2017, ENERGY RES SOC SCI, V25, P105, DOI 10.1016/j.erss.2017.01.002
   ROSENTHAL DH, 1995, ENERGY J, V16, P77
   Sailor DJ, 2003, ENERGY, V28, P941, DOI 10.1016/S0360-5442(03)00033-1
   Sailor DJ, 2001, ENERGY, V26, P645, DOI 10.1016/S0360-5442(01)00023-8
   Sreenivas A, 2015, EC POLIT WKLY, V50, P13
   Stocker, 2014, CLIMATE CHANGE 2013
   Véliz KD, 2017, ENERG POLICY, V106, P1, DOI 10.1016/j.enpol.2017.03.016
   Wangpattarapong K, 2008, ENERG BUILDINGS, V40, P1419, DOI 10.1016/j.enbuild.2008.01.006
NR 37
TC 19
Z9 19
U1 2
U2 35
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0301-4215
EI 1873-6777
J9 ENERG POLICY
JI Energy Policy
PD MAY
PY 2020
VL 140
AR 111445
DI 10.1016/j.enpol.2020.111445
PG 14
WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology
GA LI9KP
UT WOS:000529795600037
DA 2025-01-10
ER

PT J
AU McCarthy, AC
   Griffin, TS
   Srinivasan, S
   Peters, CJ
AF McCarthy, Ashley C.
   Griffin, Timothy S.
   Srinivasan, Sumeeta
   Peters, Christian J.
TI Capacity for national and regional self-reliance in fruit and vegetable
   production in the United States
SO AGRONOMY JOURNAL
LA English
DT Article
AB Increased fruit and vegetable (F&V) consumption would have important health benefits but would also have significant impacts on the U.S. agricultural system. The United States is currently a net importer of these foods but global agricultural systems face growing pressure to feed more people with fewer resources while also adapting to climate change. Thus, increasing self-reliance may become a key strategy to ensuring a stable supply of nutrient-dense foods in the United States. However, the capacity to increase the production of specific foods to accommodate shifts towards healthier dietary patterns or increase self-reliance is not well documented. We estimated the extent to which the United States could meet current and recommended F&V consumption through domestic production based on biophysical capacity at the national and regional levels. Land suitability maps from a previous study were combined with state-level yield data to estimate biophysical capacity and food availability data were used to estimate F&V consumption. A net-balance analysis was conducted to compare production capacity to food consumption under both diet scenarios. Our results indicate that the United States could meet current and recommended F&V needs of Americans through domestic production and that each region could meet regional F&V consumption. However, while self-reliance is biophysically possible, it would require substantial changes in dietary patterns and land use. These findings provide insight into the feasibility and agricultural implications of self-reliance at the national and regional levels.
C1 [McCarthy, Ashley C.; Griffin, Timothy S.; Peters, Christian J.] Tufts Univ, Friedman Sch Nutr Sci & Policy, Boston, MA USA.
   [McCarthy, Ashley C.] Univ Vermont, Dept Nutr & Food Sci, Burlington, VT USA.
   [Srinivasan, Sumeeta] Tufts Univ, Dept Urban & Environm Policy & Planning, Medford, MA USA.
   [Peters, Christian J.] USDA ARS, Food Syst Res Unit, Burlington, VT USA.
   [McCarthy, Ashley C.] Univ Vermont, Dept Nutr & Food Sci, 109 Carrigan Dr, Burlington, VT 05405 USA.
C3 Tufts University; University of Vermont; Tufts University; United States
   Department of Agriculture (USDA); University of Vermont
RP McCarthy, AC (corresponding author), Univ Vermont, Dept Nutr & Food Sci, 109 Carrigan Dr, Burlington, VT 05405 USA.
EM ashley.mccarthy@uvm.edu
RI McCarthy, Ashley/GWC-8180-2022
OI McCarthy, Ashley/0000-0001-9697-4077
FU USDA National Institute of Food and Agriculture AFRI Pre-Doctoral
   Fellowship [2018-67011-28069]
FX USDA National Institute of Food and Agriculture AFRI Pre-Doctoral
   Fellowship,Grant/Award Number: #2018-67011-28069
CR [Anonymous], 2014, 2012 CENS AGR
   [Anonymous], 2009, 2007 CENS AGR
   [Anonymous], 2016, National population projections
   [Anonymous], 2013, FTS35601 USDA EC RES
   [Anonymous], 2006, ERR31 USDA EC RES SE
   Aune D, 2017, INT J EPIDEMIOL, V46, P1029, DOI 10.1093/ije/dyw319
   Calvin L., 2022, Adjusting to Higher Labor Costs in Selected U.S. Fresh Fruit and Vegetable Industries
   Department of Health and Human Services (DHHS) USDA, 2015, 2015 2020 DIET GUID
   Duxbury JM, 1999, FOOD POLICY, V24, P197, DOI 10.1016/S0306-9192(99)00021-4
   Freedgood J.M. Hunter., 2020, FARMS THREAT STATE S
   Griffin T, 2015, RENEW AGR FOOD SYST, V30, P349, DOI 10.1017/S1742170514000027
   Johnson, 2014, SPECIALTY CROP PROVI, V43632
   Johnson, 2016, ROLE LOCAL REGIONAL, V44390
   Krebs-Smith SM, 2010, AM J PREV MED, V38, P472, DOI 10.1016/j.amepre.2010.01.016
   Low S.A., 2015, TRENDS US LOCAL REGI, V68
   Martinez SW, 2016, AGRICULTURE-BASEL, V6, DOI 10.3390/agriculture6030043
   McCarthy AC, 2022, AGRON J, V114, P2845, DOI 10.1002/agj2.21138
   McNamara PE, 1999, FOOD POLICY, V24, P117, DOI 10.1016/S0306-9192(99)00020-2
   Miller PE, 2015, J ACAD NUTR DIET, V115, P95, DOI 10.1016/j.jand.2014.08.030
   Minor T., 2017, Newly Updated ERS Data Show 2016 Production, Trade Volume, and Per Capita Availability of Vegetables and Pulses
   Mulik K, 2015, J HUNGER ENVIRON NUT, V10, P115, DOI 10.1080/19320248.2015.1004216
   OBRIEN P, 1995, AM J CLIN NUTR, V61, p1390S, DOI 10.1093/ajcn/61.6.1390S
   Peters CJ, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000116
   Ribera L.A., 2012, CHOICES MAGAZINE, V27, P8
   U.S. Census Bureau, 2017, POP DIV ANN EST RES
   USDA Economic Research Service (USDA-ERS), 2017, FOOD AV DAT SYST LOS
   USDA Food and Nutrition Service (USDA-FNS), MYPLATE CHOOS
   USDA National Agricultural Statistics Service (USDA-NASS), 2010, FLOR ANN STAT B 2002
   USDA National Agricultural Statistics Service (USDA-NASS), 2014, STAT B, V1043
   USDA National Agricultural Statistics Service (USDA-NASS), 2004, CITR FRUITS FIN EST, V997
   USDA National Agricultural Statistics Service (USDA-NASS), 2012, MAR AGR STAT ANN B 2
   USDA National Agricultural Statistics Service (USDA-NASS), 2002, MICH ROT SURV VET IN
   USDA National Agricultural Statistics Service (USDA-NASS), 2006, MICH ROT SURV VEG IN
   USDA National Agricultural Statistics Service (USDA-NASS), 2018, NEW JERS ANN STAT B
   USDA National Agricultural Statistics Service (USDA-NASS), 2008, STAT B, V1009
   USDA National Agricultural Statistics Service (USDA-NASS), 2014, NEW YORK AGR STAT AN
   USDA National Agricultural Statistics Service (USDA-NASS), 2004, 2002 CENS AGR
   USDA National Agricultural Statistics Service (USDA-NASS), 2018, DEL AGR STAT B 2003
   USDA National Agricultural Statistics Service (USDA-NASS), 2008, AR ANN STAT B 2007
   USDA National Agricultural Statistics Service (USDA-NASS), 2018, NEW ENGL AGR STAT 20
   USDA National Agricultural Statistics Service (USDA-NASS), 2018, OR ANN STAT B 2017
   USDA National Agricultural Statistics Service (USDA-NASS), 2014, STAT B, V1032
   USDA National Agricultural Statistics Service (USDA-NASS), 2016, DEL VET 2008 2016
   USDA National Agricultural Statistics Service (USDA-NASS), 2018, CAL COUNT AGR COMM R
   USDA National Agricultural Statistics Service (USDA-NASS), 2008, STAT B, V1011
   USDA National Agricultural Statistics Service (USDA-NASS), 2020, QUICK STATS AGR SURV
   USDA-NASS (USDA National Agricultural Statistics Service), 2019, 2017 CENS AGR
   Wells H. F., 2006, DIETARY ASSESSMENT M, V33, P27
   Young C. E., 1999, MOVING FOOD GUIDE PY, V779
NR 49
TC 2
Z9 3
U1 0
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-1962
EI 1435-0645
J9 AGRON J
JI Agron. J.
PD MAR
PY 2023
VL 115
IS 2
BP 647
EP 657
DI 10.1002/agj2.21305
EA MAR 2023
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA L1ZR0
UT WOS:000950309600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Wunsch, A
   Meyerhoff, J
   Rehdanz, K
AF Wunsch, Andrea
   Meyerhoff, Joergen
   Rehdanz, Katrin
TI A test-retest analysis of stated preferences in uncertain times
SO ECONOMIC ANALYSIS AND POLICY
LA English
DT Article
DE Adaptation; Choice experiment; Climate change; Coastal protection;
   Covid-19 pandemic; Test re-test
ID WILLINGNESS-TO-PAY; TEMPORAL STABILITY; CHOICE EXPERIMENTS; RELIABILITY;
   VALUATIONS
AB In environmental valuation, the issue of the temporal stability of stated preferences to changes in environmental (dis)amenities is important because their results can be employed to inform decision-making. This includes cost-benefit analysis for large infrastructure projects such as coastal protection. A couple of studies have investigated stability of stated preferences over varying time periods. However, less evidence is available for temporal stability of stated preferences for (dis)amenities in uncertain times, i.e., times that are characterized by larger degrees of uncertainty regarding the (near) future. Using a choice experiment on coastal adaptation to climate change, this paper examines the test-retest reliability of individual preferences and resulting welfare estimates over the course of the Covid-19 pandemic. We do so by surveying the same respondents at two points in time five months apart during the ongoing pandemic. Using a latent class model, we find similar preference heterogeneity patterns but different class sizes. While the welfare measure of an adaptation scenario that focuses on safety increases across survey waves, scenarios that centre on recreation or nature have decreasing welfare effects. This suggests that individuals set other priorities in uncertain times.(c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc- nd/4.0/).
C1 [Meyerhoff, Joergen] Univ Kiel, Inst Environm Resource & Spatial Econ, Olshausenstrasse 40-60, D-24098 Kiel, Germany.
   [Wunsch, Andrea] Kiel Inst World Econ, Kiellinie 66, D-24105 Kiel, Germany.
   [Meyerhoff, Joergen] Tech Univ Berlin, Inst Landscape Architecture & Environm Planning, EB 4-2, Str 17 Juni 145, D-10623 Berlin, Germany.
   [Wunsch, Andrea] Inst World Econ, Kiellinie 66, D-24105 Kiel, Germany.
C3 University of Kiel; Leibniz Association; Institut fur Weltwirtschaft an
   der Universitat Kiel (IFW); Technical University of Berlin; Leibniz
   Association; Institut fur Weltwirtschaft an der Universitat Kiel (IFW)
RP Wunsch, A (corresponding author), Inst World Econ, Kiellinie 66, D-24105 Kiel, Germany.
EM andrea.wunsch@ifw-kiel.de
RI Meyerhoff, Juergen/M-5640-2019; Juergen, Meyerhoff/E-9458-2014
OI Juergen, Meyerhoff/0000-0003-4333-8514; Wunsch,
   Andrea/0000-0002-2508-8462; Rehdanz, Katrin/0000-0002-5336-0582
FU Umwelt und Verbraucherschutz Mecklenburg-Vorpommern - Federal Ministry
   of Education and Research (BMBF) , Germany [1LA1812A/C]
FX We would like to thank K. Sommermeier and L. Tiepolt from Staatliches
   Amt fuer Umwelt und Natur-Abteilung Kueste-Ministerium fuer
   Landwirtschaft, Umwelt und Verbraucherschutz Mecklenburg-Vorpommern
   (StALU) for providing information about the coastal defence system in
   MWP and valuable feedback on the survey. Finally, we would like to thank
   the GoCoase project group for contributions, in particular J. Tiede, J.
   Visscher and T. Schlurmann, Ludwig-Franzius-Institute, Leibniz
   Universitaet Hannover (LUH) ; A. Dehnhardt (IOEW, Berlin) and N. Stybel
   (EUCC Deutschland, Rostock) . This work stems from the joint research
   project GoCoase, funded by the Federal Ministry of Education and
   Research (BMBF) , Germany, grant number 1LA1812A/C.
CR Bliem M, 2012, J ENVIRON MANAGE, V103, P65, DOI 10.1016/j.jenvman.2012.02.029
   BMEL, 2020, RAHM GEM VERB AGR KU
   Brouwer R, 2006, ECOL ECON, V60, P399, DOI 10.1016/j.ecolecon.2006.04.001
   Czajkowski M, 2016, FOREST POLICY ECON, V71, P11, DOI 10.1016/j.forpol.2016.06.027
   Gamper EM, 2018, VALUE HEALTH, V21, P958, DOI 10.1016/j.jval.2017.11.012
   HANEMANN WM, 1984, AM J AGR ECON, V66, P332, DOI 10.2307/1240800
   Hess S., 2014, Handbook of Choice Modelling, P311, DOI DOI 10.4337/9781781003152.00021
   Hynes S, 2021, ECOL ECON, V189, DOI 10.1016/j.ecolecon.2021.107142
   Lew DK, 2017, ECOL ECON, V131, P87, DOI 10.1016/j.ecolecon.2016.08.009
   Liebe U, 2012, ENVIRON RESOUR ECON, V53, P389, DOI 10.1007/s10640-012-9567-1
   Loureiro ML, 2017, ECOL ECON, V140, P235, DOI 10.1016/j.ecolecon.2017.05.008
   Mariel P., 2021, ENV VALUATION DISCRE
   Matthews Y, 2017, ECOL ECON, V138, P64, DOI 10.1016/j.ecolecon.2017.03.031
   McConnell KE, 1998, ENVIRON RESOUR ECON, V12, P357, DOI 10.1023/A:1008264922331
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Meyerhoff J, 2021, J ENVIRON ECON POLIC, V10, P374, DOI 10.1080/21606544.2021.1894990
   Morrison M, 2011, ECON REC, V87, P269, DOI 10.1111/j.1475-4932.2010.00706.x
   Rigby D, 2016, ENVIRON RESOUR ECON, V65, P441, DOI 10.1007/s10640-015-9913-1
   Ryan M, 2006, J HEALTH ECON, V25, P927, DOI 10.1016/j.jhealeco.2006.01.001
   Schaafsma M, 2014, RESOUR ENERGY ECON, V38, P243, DOI 10.1016/j.reseneeco.2014.09.001
   StALU, 2009, REGELWERK KUSTENSCHU
NR 21
TC 4
Z9 4
U1 4
U2 10
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 2022
VL 73
BP 725
EP 736
DI 10.1016/j.eap.2021.12.021
EA JAN 2022
PG 12
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 0W0PG
UT WOS:000788739700015
OA hybrid
DA 2025-01-10
ER

PT J
AU Epelde, L
   Mendizabal, M
   Gutiérrez, L
   Artetxe, A
   Garbisu, C
   Feliu, E
AF Epelde, Lur
   Mendizabal, Maddalen
   Gutierrez, Laura
   Artetxe, Ainara
   Garbisu, Carlos
   Feliu, Efren
TI Quantification of the environmental effectiveness of nature-based
   solutions for increasing the resilience of cities under climate change
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Adaptation; Biodiversity; Carbon capture; Flood control; Multi-benefit
   solutions; Thermal comfort
ID ECOLOGICAL NETWORKS; ECOSYSTEM SERVICES; GREEN; ADAPTATION; QUALITY;
   CONNECTIVITY; CONSERVATION; BIODIVERSITY; PERFORMANCE; PROTECTION
AB Nature-based solutions (NBSs) enhance the potential for mitigation and adaptation to climate change in cities. Among the environmental benefits offered by these measures, enhanced biodiversity, increased carbon storage, reduction of extreme temperatures, and pluvial flood control are crucial. The purpose of this study was to establish an integrated methodology for quantifying the benefits of NBSs and complementary measures and to apply it in a neighbourhood of Donostia-San Sebasti ' an (Spain), where two alternative designs that incorporated NBSs and complementary measures were designed. Then, the individual effectiveness of the four variables was measured using both in-situ measurements and modelling approaches. For the integrated effectiveness, a multicriteria decision analysis was employed. Both the 'feasible' design and the 'ideal' one led to an increase in biodiversity (46 and 108 %, respectively) and carbon storage (50 and 130 %, respectively). When considering each measure independently, putting soil provided the highest benefits for carbon capture and biodiversity; meanwhile, planting woody species and installing light-coloured permeable pavements and water fountains reduced the mean radiant temperature by 26.5 K and the air temperature by 0.5 and 2.5 K, respectively, in specific places. Finally, the importance of quantifying the multiple environmental benefits of NBSs for the selection of climate-smart options in urban planning has been highlighted.
C1 [Epelde, Lur; Artetxe, Ainara; Garbisu, Carlos] Basque Res & Technol Alliance BRTA, Dept Conservat Nat Resources, NEIKER Basque Inst Agr Res & Dev, Parque Ciennt & Tecnol Bizkaia, P812, Derio 48160, Spain.
   [Mendizabal, Maddalen; Gutierrez, Laura; Feliu, Efren] Parque Cient & Tecnol Bizkaia, Environm & Sustainabil Area, Tecnalia Res & Innovat, C Astondo Bidea, E-48160 Derio, Spain.
RP Epelde, L (corresponding author), Basque Res & Technol Alliance BRTA, Dept Conservat Nat Resources, NEIKER Basque Inst Agr Res & Dev, Parque Ciennt & Tecnol Bizkaia, P812, Derio 48160, Spain.
EM lepelde@neiker.eus
RI Epelde, Lur/AFD-8347-2022; Garbisu, Carlos/G-1908-2014; Gutiérrez,
   Laura/IYJ-6582-2023; Epelde, Lur/H-2638-2015; Garbisu,
   Carlos/D-1942-2012
OI Epelde, Lur/0000-0002-4624-4946; Garbisu, Carlos/0000-0002-5577-6151;
   Feliu Torres, Efren/0000-0003-1205-4885
FU IHOBE, the Basque Environmental Agency; Ministry for the Ecological
   Transition of Spain, through Fundacion Biodiversidad; European Union via
   the Life LIFE IP Urban Klima 2050 Project
FX We are very grateful to the city council of Donostia-San Sebastian,
   which played a crucial role in the design definition and weighing
   meetings. This study has been carried out with the economic support of
   (i) IHOBE, the Basque Environmental Agency, (ii) the Ministry for the
   Ecological Transition of Spain, through Fundacion Biodiversidad, and
   (iii) European Union via the Life LIFE IP Urban Klima 2050 Project.
CR Akbari H, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/2/024004
   Alvarado O.A., 2019, Measuring the benefits of urban nature-based solutions through quantitative assessment tools (Masters thesis). Parque Ecuador en la ciudad de Concepcion
   [Anonymous], 2016, EARTH MATTERS
   [Anonymous], 2014, HDB CLIMATE CHANGE A
   Artetxe A., 2014, SUMIDEROS CARBONO CO
   Bagyaraj DJ., 2016, Economic and ecological significance of arthropods in diversified ecosystems, P17, DOI DOI 10.1007/978-981-10-1524-3_2
   Barbour M.G., 1980, TERRESTRIAL PLANT EC
   Bardgett RD, 2014, NATURE, V515, P505, DOI 10.1038/nature13855
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Battista G, 2019, SOL ENERGY, V180, P608, DOI 10.1016/j.solener.2019.01.074
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Bruse M., 1999, IMPACT SMALL SCALE E
   Cardinale M, 2004, APPL ENVIRON MICROB, V70, P6147, DOI 10.1128/AEM.70.10.6147-6156.2004
   Caruso T, 2017, APPL SOIL ECOL, V110, P73, DOI 10.1016/j.apsoil.2016.10.012
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   CSN (Czech Technical Standard) ISO, 1995, Soil qualityDetermination of organic and total carbon after dry combustion (elementary analysis)
   de Bruin K, 2014, REG ENVIRON CHANGE, V14, P1009, DOI 10.1007/s10113-013-0447-1
   Eggleston S., 2006, 2006 IPCC GUIDELINES, V5
   Epelde L, 2020, ECOSISTEMAS, V29, DOI 10.7818/ECOS.1881
   Estevez E., 2016, Reconnaissance Study, P330
   Feliu E., 2017, PLAN ADAPTACION CAMB
   Ford JD, 2016, MITIG ADAPT STRAT GL, V21, P839, DOI 10.1007/s11027-014-9627-7
   Garbisu C, 2011, APPL SOIL ECOL, V49, P1, DOI 10.1016/j.apsoil.2011.04.018
   Glenis V, 2018, ENVIRON MODELL SOFTW, V109, P272, DOI 10.1016/j.envsoft.2018.07.018
   Grafakos S, 2015, SUSTAINABILITY-BASEL, V7, P10922, DOI 10.3390/su70810922
   Guerreiro SB, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaaad3
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Gutierrez L., 2017, SOLUCIONES NATURALES
   Haque AN, 2012, ENVIRON URBAN, V24, P197, DOI 10.1177/0956247811433538
   Iverson LR, 2001, ECOSYSTEMS, V4, P186, DOI 10.1007/s10021-001-0003-6
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kumar P, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147058
   Laban P., 2018, Soil biodiversity and soil organic carbon: keeping drylands alive
   Lal R, 2016, J SOIL WATER CONSERV, V71, p20A, DOI 10.2489/jswc.71.1.20A
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lee JY, 2013, ENVIRON POLLUT, V181, P257, DOI 10.1016/j.envpol.2013.06.039
   Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Magurran AE., 2004, African Journal of Aquatic Science, V29, P256
   Makido Y, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10050282
   Amezaga IM, 2016, SPAN J SOIL SCI, V6, P15, DOI 10.3232/SJSS.2016.V6.N1.02
   Ministry of Agriculture and Fisheries Food and Environment, 2015, GUIA EST ABS DIOX CA
   Nature4Cities, 2017, SYST INT MULT MULT P
   Nowak David J., 2008, Arboriculture & Urban Forestry, V34, P347
   Pataki DE, 2006, GLOBAL CHANGE BIOL, V12, P2092, DOI 10.1111/j.1365-2486.2006.01242.x
   Pino J, 2012, LAND USE POLICY, V29, P684, DOI 10.1016/j.landusepol.2011.11.004
   Pirnat J, 2016, LANDSCAPE URBAN PLAN, V153, P129, DOI 10.1016/j.landurbplan.2016.05.013
   Potz H., 2016, URBAN GREEN BLUE GRI
   Pouyat RV, 2006, J ENVIRON QUAL, V35, P1566, DOI 10.2134/jeq2005.0215
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Raymond C.M., 2017, EKLIPSE EXPERT WORKI
   Renforth P, 2011, PROC INST CIV ENG-U, V164, P121, DOI 10.1680/udap.2011.164.2.121
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Rumble H, 2018, APPL SOIL ECOL, V126, P11, DOI 10.1016/j.apsoil.2018.01.010
   Rumble H, 2013, ECOL ENG, V57, P197, DOI 10.1016/j.ecoleng.2013.04.012
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Sebastian Donostia-San, 2018, PLAN ACCION KLIMA 20
   Simmons Mark T., 2008, Urban Ecosystems, V11, P339, DOI 10.1007/s11252-008-0069-4
   Soares AL, 2011, URBAN FOR URBAN GREE, V10, P69, DOI 10.1016/j.ufug.2010.12.001
   Teemusk A, 2007, ECOL ENG, V30, P271, DOI 10.1016/j.ecoleng.2007.01.009
   Thom JK, 2016, URBAN FOR URBAN GREE, V20, P233, DOI 10.1016/j.ufug.2016.08.016
   Tilman D., 2001, The functional consequences of biodiversity. Empirical processes and theoretical extensions, P9
   Vasco Gobierno, 2017, ESCENARIOS CAMBIO CL
   Wallingford H., 2006, Flood risks to people
   Wijaya N, 2015, J REG CITY PLAN, V26, P28, DOI 10.5614/jpwk.2015.26.1.4
   Xing YG, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010149
NR 66
TC 15
Z9 15
U1 11
U2 82
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 JAN
PY 2022
VL 67
AR 127433
DI 10.1016/j.ufug.2021.127433
PG 12
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA 0X3OE
UT WOS:000789619300003
DA 2025-01-10
ER

PT J
AU Diop, B
   Sanz, N
   Duplan, YJ
   Guene, EM
   Blanchard, F
   Pereau, JC
   Doyen, L
AF Diop, Bassirou
   Sanz, Nicolas
   Junior Duplan, Yves Jamont
   Guene, El Hadji Mama
   Blanchard, Fabian
   Pereau, Jean-Christophe
   Doyen, Luc
TI Maximum Economic Yield Fishery Management in the Face of Global Warming
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Renewable resources; Fishery bioeconomic model; Climate change; Climate
   scenarios; Adaptation; Shrimp
ID SEA HERRING FISHERY; CLIMATE-CHANGE; VIABILITY
AB This paper deals with fishery management in the face of the ecological and economic effects of global warming. To achieve this, a dynamic bioeconomic model and model-based scenarios are considered, in which the stock's growth function depends on the sea surface temperature. The model is empirically calibrated for the French Guiana shrimp fishery using time series collected over the period 1993-2009. Three fishing effort strategies are then compared under two contrasted IPCC climate scenarios (RCP 8.5 and RCP 2.6). A first harvesting strategy maintains the Status Quo in terms of fishing effort. A more ecologically-oriented strategy based on the closure of the fishery is also considered. A third strategy, which relates to Maximum Economic Yield (MEY), is based on the optimisation of the net present value derived from fishing. The results first show that 'Status Quo' fishing intensity combined with global warming leads to the collapse of the fishery in the long run. Secondly, it turns out that the Closure strategy preserves stock viability especially under the optimistic climate scenario. Thirdly, the MEY strategy makes it possible to satisfy bioeconomic performances requirements with positive stock and profit, once again, especially under the optimistic warming scenario. Consequently, MEY emerges as a relevant bioeconomic strategy in terms of adaptation to climate change but only in connection with climate change mitigation.
C1 [Diop, Bassirou] CNRS French Natl Ctr Sci Res, LEEISA, UMRS 3456, BP 477, Cayenne 9733, French Guiana.
   [Sanz, Nicolas] Univ French Guiana, UMRS 3456, LEEISA, Campus Troubiran,BP 20792, Cayenne 97337, French Guiana.
   [Junior Duplan, Yves Jamont] Univ French Guiana, Campus Troubiran,BP 20792, Cayenne 97337, French Guiana.
   [Guene, El Hadji Mama] IPR, Rennes, France.
   [Blanchard, Fabian] Ifremer French Res Inst Exploitat Sea, LEEISA, UMRS 3456, BP 477, Cayenne 97331, French Guiana.
   [Pereau, Jean-Christophe; Doyen, Luc] Univ Bordeaux, GREThA CNRS French Natl Ctr Sci Res, Ave Leon Duguit, F-33608 Pessac, France.
C3 Ifremer; Ifremer; Universite de Rennes; Ifremer; Universite de Bordeaux
RP Diop, B (corresponding author), CNRS French Natl Ctr Sci Res, LEEISA, UMRS 3456, BP 477, Cayenne 9733, French Guiana.
EM diop.bassirou@gmail.com
RI Doyen, Luc/GXH-3424-2022; Diop, Bassirou/AAI-2760-2020
OI Doyen, Luc/0000-0001-8272-6187; Diop, Bassirou/0000-0001-5361-7336;
   pereau, jean christophe/0000-0003-0761-6994; Blanchard,
   Fabian/0000-0001-8496-877X
FU Belmont Forum [ANR-14-JPF1-0003]; VOGUE; ECOPE (PIG CNRS); OYAMAR
   (FEDER); ACROSS [ANR-14-CE03-0001]; Agence Nationale de la Recherche
   (ANR) [ANR-14-JPF1-0003] Funding Source: Agence Nationale de la
   Recherche (ANR)
FX This work was carried out with financial support from the Belmont Forum
   through its funding of the SEAVIEW network (ANR-14-JPF1-0003), as well
   as from the VOGUE, ECOPE (PIG CNRS), OYAMAR (FEDER), and ACROSS
   (ANR-14-CE03-0001) research projects.
CR [Anonymous], 2016, ASSESSMENT REPORT PO, DOI DOI 10.5281/ZENODO.3402856
   [Anonymous], 1957, I-A TROP TUNA COMM B
   [Anonymous], 2016, Contributing to food security and nutrition for all, P200, DOI DOI 10.18356/D72EB315-EN
   Béné C, 2000, ENVIRON RESOUR ECON, V15, P1, DOI 10.1023/A:1008336002697
   Bernard C., 2006, THESIS
   BJORNDAL T, 1988, J ENVIRON ECON MANAG, V15, P9, DOI 10.1016/0095-0696(88)90024-1
   BJORNDAL T, 1987, SCAND J ECON, V89, P145, DOI 10.2307/3440061
   BJORNDAL T, 1989, LAND ECON, V65, P49, DOI 10.2307/3146263
   BJORNDAL T, 1993, LAND ECON, V69, P156, DOI 10.2307/3146516
   Bjorndal T., 2006, Mar Res Eco, V21, P193, DOI DOI 10.1086/mre.21.2.42629504
   Bjorndal T., 1998, The International Yearbook of Environmental and Resource Economics 1998/1999: A Survey of Current Issues, P153
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   CHABOUD C, 2009, 18 WORLD IMACS C MOD
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Clark C.W., 1976, Mathematical Bioeconomics: The Optimal Management of Renewable Resources
   Clark C. W., 2010, MATH BIOECONOMICMA, V91
   CLARK CW, 1975, J ENVIRON ECON MANAG, V2, P92, DOI 10.1016/0095-0696(75)90002-9
   Conrad Jon M., 1999, Journal of Bioeconomics, V1, P205, DOI 10.1023/A:1010039031324
   de Lange C., 2013, NEW SCI, V220, P7, DOI DOI 10.1016/S0262-4079(13)62875-4
   Delara M., 2008, Sustainable management of natural resources: Mathematical models and methods
   Dichmont CM, 2010, P NATL ACAD SCI USA, V107, P16, DOI 10.1073/pnas.0912091107
   Dichmont CM, 2013, J APPL ECOL, V50, P1060, DOI 10.1111/1365-2664.12110
   Garza-Gil MD, 2011, REG ENVIRON CHANGE, V11, P87, DOI 10.1007/s10113-010-0121-9
   Doyen L, 2012, J ECON DYN CONTROL, V36, P1414, DOI 10.1016/j.jedc.2012.03.004
   Doyen L, 2017, FISH FISH, V18, P1056, DOI 10.1111/faf.12224
   Garandeau C., 2006, COMPTES EC GUYANE 20
   Garza-Gil MD, 1998, ENVIRON RESOUR ECON, V11, P79, DOI 10.1023/A:1008297328943
   Grafton QR, 2012, FISH FISH, V13, P303, DOI 10.1111/j.1467-2979.2011.00444.x
   Grafton RQ, 2007, SCIENCE, V318, P1601, DOI 10.1126/science.1146017
   Grafton RQ, 2010, AUST J AGR RESOUR EC, V54, P273, DOI 10.1111/j.1467-8489.2010.00492.x
   Hannesson Rognvaldur, 2006, Natural Resource Modeling, V19, P633
   Kamien MI., 1991, CALCULUS VARIATIONS
   Kaschner K., 2013, WORLD WIDE WEB ELECT
   Kompas T, 2010, AUST J AGR RESOUR EC, V54, P281, DOI 10.1111/j.1467-8489.2010.00493.x
   LARKIN PA, 1977, T AM FISH SOC, V106, P1, DOI 10.1577/1548-8659(1977)106<1:AEFTCO>2.0.CO;2
   Lehodey P, 2006, J CLIMATE, V19, P5009, DOI 10.1175/JCLI3898.1
   Levitus S, 2000, SCIENCE, V287, P2225, DOI 10.1126/science.287.5461.2225
   Link JS, 2017, NATURE, V549, P458, DOI 10.1038/549458b
   Lopes PFM, 2018, REG ENVIRON CHANGE, V18, P223, DOI 10.1007/s10113-017-1203-8
   Mace PM, 2001, FISH FISH, V2, P2, DOI 10.1046/j.1467-2979.2001.00033.x
   Moffitt CM, 2014, FISHERIES, V39, P552, DOI 10.1080/03632415.2014.966265
   Nostbakken L, 2008, MAR RESOUR ECON, V23, P65, DOI 10.1086/mre.23.1.42629602
   Ogier EM, 2016, MAR POLICY, V71, P82, DOI 10.1016/j.marpol.2016.05.014
   OPSOMER JD, 1994, J ENVIRON ECON MANAG, V27, P21, DOI 10.1006/jeem.1994.1023
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pascoe S, 2016, FISH RES, V183, P539, DOI 10.1016/j.fishres.2016.01.008
   Pikitch EK, 2004, SCIENCE, V305, P346, DOI 10.1126/science.1098222
   Sanchirico JN, 2008, ECOL ECON, V64, P586, DOI 10.1016/j.ecolecon.2007.04.006
   Sanz N, 2017, ENVIRON ECON POLICY, V19, P233, DOI 10.1007/s10018-016-0153-6
   Steinmetz F, 2008, AQUAT LIVING RESOUR, V21, P317, DOI 10.1051/alr:2008048
   Stock CA, 2011, PROG OCEANOGR, V88, P1, DOI 10.1016/j.pocean.2010.09.001
   Thébaud O, 2014, MAR POLICY, V43, P382, DOI 10.1016/j.marpol.2013.05.010
   WILEN JE, 1979, J FISH RES BOARD CAN, V36, P855, DOI 10.1139/f79-123
   Worm B, 2009, SCIENCE, V325, P578, DOI 10.1126/science.1173146
   Ye YM, 2013, FISH FISH, V14, P174, DOI 10.1111/j.1467-2979.2012.00460.x
NR 55
TC 17
Z9 17
U1 1
U2 42
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD DEC
PY 2018
VL 154
BP 52
EP 61
DI 10.1016/j.ecolecon.2018.07.027
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 GV7DR
UT WOS:000446282700006
OA Green Published
DA 2025-01-10
ER

PT J
AU Sorensen, C
   Knudsen, P
   Sorensen, P
   Damgaard, T
   Molgaard, MR
   Jensen, J
AF Sorensen, Carlo
   Knudsen, Per
   Sorensen, Per
   Damgaard, Thomas
   Molgaard, Mads R.
   Jensen, Juergen
TI Rethinking Coastal Community Approaches to Climate Change Impacts and
   Adaptation
SO JOURNAL OF COASTAL RESEARCH
LA English
DT Article; Proceedings Paper
CT 15th International Coastal Symposium (ICS)
CY MAY 13-18, 2018
CL Busan, SOUTH KOREA
SP Korea Inst Ocean Sci & Technol, Korea Soc Coastal Disaster Prevent, JCR, Coastal Educ & Res Fdn
DE Coastal flood modeling; combined impacts; process-oriented collaboration
AB Low-lying coastal communities face almost insurmountable challenges from floods and climate change. Research work on adaptation and mitigation particularly emphasizes on cities and mega-cities as a natural consequence of their agglomeration of people and assets. Less focus is put on smaller coastal communities and their challenges, one of which is a lack of local expertise and knowledge. Adaptation to climate change is often a local governance level task, however. Co-work between municipal and national authorities, the utility company, research, business, consultants and citizens has resulted in a common framework to address and deal with water-related challenges in a Danish coastal community. From an assessment of combined impacts of climate change (i.e. sea level rise and storm surges, precipitation and cloudbursts and associated groundwater level responses) and stresses from degrading sewer systems and land subsidence, impact zones are mapped. The multi-player, end-user defined work transcends sectors and builds capacity by sharing data and knowledge. It mainstreams climate change issues into business, management, planning and early warning: the overall goal is an adaptation strategy unfolded from stakeholder involvement and responsibility, cost-effective decision making, climate-related asset management processes and a holistic livable cities approach to this highly vulnerable coastal community. The collaboration and common framework enable the actors to articulate need of information and establish feedback mechanisms between local level work and e.g. sea level research and climate services.
C1 [Sorensen, Carlo; Knudsen, Per] DTU Space, Geodesy, Lyngby, Denmark.
   [Sorensen, Carlo; Sorensen, Per] Coastal Author, Coast & Climate, Lemvig, Denmark.
   [Damgaard, Thomas] Lemvig Municipal, Nat & Environm, Lemvig, Denmark.
   [Molgaard, Mads R.] Geodata & Subsurface Models Geo, Lyngby, Denmark.
   [Jensen, Juergen] Univ Siegen, Res Inst Water & Environm, Siegen, Germany.
C3 Technical University of Denmark; Universitat Siegen
RP Sorensen, C (corresponding author), DTU Space, Geodesy, Lyngby, Denmark.; Sorensen, C (corresponding author), Coastal Author, Coast & Climate, Lemvig, Denmark.
EM carlos@space.dtu.dk
OI Sorensen, Carlo Sass/0000-0001-5754-6440; Knudsen,
   Per/0000-0003-4640-6746
FU Innovation Fund Denmark [1355-00193]
FX All co-workers are acknowledged for their enthusiasm in meeting
   Thyboron's climate challenges! Thomas B. Andersen & Pernille A. Marker
   (Geo) and Marianne Skov & Charlotte S. Schow (Ramboll) are thanked for
   geo- and hydrological modeling work, and Petar Marinkovic (PPO. Labs),
   John Dehls (NGU) and Yngvar Larsen (NORUT) are acknowledged and thanked
   for processing S-1 data. Contains modified Copernicus Sentinel-1 data.
   Co-funding for the work presented was kindly provided by Innovation Fund
   Denmark (Grant no. 1355-00193).
CR Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Church J., 2010, UNDERSTANDING SEA LE, V1st
   Grinsted A, 2015, REG CLIM STUD, P253, DOI 10.1007/978-3-319-16006-1_14
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Lane D. E., 2015, COASTAL ZONES SOLUTI, P141, DOI DOI 10.1016/B978-0-12-802748-6.00009-7
   [Mach K.J. Intergovernmental Panel on Climate Change (IPCC). ( Intergovernmental Panel on Climate Change (IPCC). (], 2014, CLIMATE CHANGE 2014, P117
   Moftakhari HR, 2017, EARTHS FUTURE, V5, P214, DOI 10.1002/2016EF000494
   Nicholls R.J., 1995, GEOJOURNAL, V37, P369, DOI DOI 10.1007/BF00814018
   Sorensen C., 2016, P 25 ANN NSW COAST C
   Sorensen C., 2017, THESIS
   Sorensen C, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00069
   Watson PJ, 2017, J COASTAL RES, V33, P23, DOI 10.2112/JCOASTRES-D-16-00134.1
   Zhu X., 2010, Coastal erosion and flooding
NR 14
TC 5
Z9 6
U1 1
U2 38
PU COASTAL EDUCATION & RESEARCH FOUNDATION
PI COCONUT CREEK
PA 5130 NW 54TH STREET, COCONUT CREEK, FL 33073 USA
SN 0749-0208
EI 1551-5036
J9 J COASTAL RES
JI J. Coast. Res.
PD MAY
PY 2018
SI 85
BP 1521
EP 1525
DI 10.2112/SI85-305.1
PG 5
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA GP8PE
UT WOS:000441173100305
DA 2025-01-10
ER

PT C
AU Gadzhev, G
   Ivanov, V
   Ganev, K
   Chervenkov, H
AF Gadzhev, Georgi
   Ivanov, Vladimir
   Ganev, Kostadin
   Chervenkov, Hristo
BE Lirkov, I
   Margenov, S
TI TVRegCM Numerical Simulations - Preliminary Results
SO LARGE-SCALE SCIENTIFIC COMPUTING, LSSC 2017
SE Lecture Notes in Computer Science
LA English
DT Proceedings Paper
CT 11th International Conference on Large-Scale Scientific Computations
   (LSSC)
CY JUN 05-09, 2017
CL Sozopol, BULGARIA
SP Bulgarian Acad Sci, Inst Informat & Commun Technologies, Soc Ind & Appl Math
DE Regional climate simulation; RegCM4.4; EOBS; High performance computing
AB The oncoming climate changes at the moment are the biggest challenge the mankind is faced with. They will exert influence on the ecosystems, on the all branches of the national economy, and on the quality of life. The climate changes and their consequences have a great number of regional features, which the global models cannot predict. That is why an operation plan for adaptation to climate changes has to be based on scientifically well-grounded assessments, giving an account of regional features in the climate changes and their consequences.
   The purpose of the current research is to develop a method that permits a set of validated models, tuned to the physical geographic and climate conditions of the region will be able reliably to predict the regional climate changes for different global climate scenarios. The comprehensive and detail computer simulations will be done for the present climate. Here an evaluation of the ERA-Interim-driven regional climate model RegCM v4.4 over Southeastern Europe is presented. The study documents the performance of 20 different model configurations in representing the basic spatial and temporal patterns of the SE European climate for the period 1999-2009. Model evaluation focuses on near-surface air temperature and precipitation, and uses the EOBS data set as observational reference.
   The study reveals that no particular model configuration can be judged as the best one, nevertheless seven ones indicate better performance for the precipitation during the summer.
C1 [Gadzhev, Georgi; Ivanov, Vladimir; Ganev, Kostadin] Bulgarian Acad Sci, Natl Inst Geophys Geodesy & Geog, Acad G Bonchev Str,Bl 3, Sofia 1113, Bulgaria.
   [Chervenkov, Hristo] Bulgarian Acad Sci, Natl Inst Meteorol & Hydrol, Tsarigradsko Shose Blvd 66, Sofia 1784, Bulgaria.
C3 Bulgarian Academy of Sciences; Bulgarian Academy of Sciences
RP Gadzhev, G (corresponding author), Bulgarian Acad Sci, Natl Inst Geophys Geodesy & Geog, Acad G Bonchev Str,Bl 3, Sofia 1113, Bulgaria.
EM ggadjev@geophys.bas.bg
RI Ivanov, Vladimir/ACJ-1493-2022; Gadzhev, Georgi/P-3654-2018; Chervenkov,
   Hristo/I-3826-2019
OI Gadzhev, Georgi/0000-0002-6159-3554; Chervenkov,
   Hristo/0000-0002-7658-3041; Ivanov, Vladimir/0000-0001-9768-1049
FU Horizon 2020 project [675121]; EC-FP7 grant [PIRSES-GA-2013-612671];
   Bulgarian National Science Fund [DN-04/2/13.12.2016]
FX Deep gratitude to the organizations and institutes (ICTP, ECMWF,
   NCEP-NCAR, ECA&D, Unidata, MPI-M and all others), which provides free of
   charge software and data. Without their innovative data services and
   tools this study would be not possible. Special thanks to: VRE for
   regional Interdisciplinary communities in Southeastern Europe and the
   Eastern Mediterranean (VI-SEEM), Horizon 2020 project 675121, the EC-FP7
   grant PIRSES-GA-2013-612671 (project REQUA), the Bulgarian National
   Science Fund (grant DN-04/2/13.12.2016), and Program for career
   development of young scientists, BAS.
CR Atanassov E, 2016, AIP CONF PROC, V1773, DOI 10.1063/1.4964983
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Elguindi N., 2014, Regional climate model RegCM user manual version 4.4
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   Kotlarski S, 2014, GEOSCI MODEL DEV, V7, P1297, DOI 10.5194/gmd-7-1297-2014
   Stephenson TS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009127
   Xue YK, 2014, ATMOS RES, V147, P68, DOI 10.1016/j.atmosres.2014.05.001
NR 7
TC 4
Z9 4
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 0302-9743
EI 1611-3349
BN 978-3-319-73441-5; 978-3-319-73440-8
J9 LECT NOTES COMPUT SC
PY 2018
VL 10665
BP 266
EP 274
DI 10.1007/978-3-319-73441-5_28
PG 9
WC Computer Science, Interdisciplinary Applications; Computer Science,
   Theory & Methods
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BP4ND
UT WOS:000553251300028
DA 2025-01-10
ER

PT J
AU Chaudhury, AS
   Thornton, TF
   Helfgott, A
   Ventresca, MJ
   Sova, C
AF Chaudhury, Abrar S.
   Thornton, Thomas F.
   Helfgott, Ariella
   Ventresca, Marc J.
   Sova, Chase
TI Ties that bind: Local networks, communities and adaptive capacity in
   rural Ghana
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Adaptation; Adaptive capacity; Rural agriculture; Climate change; Rural
   community; Social network analysis; Vulnerability
ID CLIMATE-CHANGE; DECISION-MAKING; SOCIAL NETWORKS; ADAPTATION;
   VULNERABILITY; RESILIENCE; PERSPECTIVE; MANAGEMENT; POWER
AB Current models of adaptation to climate change focus on common causes of vulnerability among individuals and communities in an attempt to improve their capacity to adapt. These models tend to neglect the impact on vulnerability of local relationships that include political and economic power structures. We use social network analysis to examine the connectivity and positions of vulnerable rural households and their capacity to adapt. We collected empirical data from a community of 58 smallholders in upper west Ghana on external relations with 'local actors' that are independent, operate beyond the community yet have direct relations with the community. These connections provide important resources and knowledge to build adaptive capacity that would not be generated from within the community. Our results highlight that certain external relations expose households to knowledge and other forms of capital, which in turn strengthen their ability to access and mobilise resources to respond to environmental change. However, not all external relations offer equal opportunities, which results in a stratified community and variation in the households' capacity to adapt. The network approach also identifies points where local actors can link communities and households to remote agencies crucial for planning and implementing effective adaptation. Keywords: Adaptation; Adaptive capacity; Rural agriculture; Climate change; Rural community, Social network analysis; Vulnerability (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Chaudhury, Abrar S.; Thornton, Thomas F.; Helfgott, Ariella; Sova, Chase] Univ Oxford, Environm Change Inst, Oxford, England.
   [Chaudhury, Abrar S.; Helfgott, Ariella; Sova, Chase] CGIAR Res Program Climate Change Agr & Food Secur, Frederiksberg, Denmark.
   [Ventresca, Marc J.] Univ Oxford, Wolfson Coll, Said Business Sch, Oxford, England.
C3 University of Oxford; CGIAR; University of Oxford
RP Chaudhury, AS (corresponding author), Univ Oxford, Environm Change Inst, Oxford, England.
EM abrarchaudhury@gmail.com
RI Chaudhury, Abrar/AEV-5129-2022; Ventresca, Marc/KIB-4904-2024; Thornton,
   Tom/AAJ-5105-2020
OI Thornton, Thomas F./0000-0002-1065-5495; Ventresca, Marc
   Joseph/0009-0007-5825-4504; Chaudhury, Abrar/0000-0002-3094-7639;
   Thornton, Philip/0000-0002-1854-0182
FU CGIAR Research Program on Climate Change Agriculture and Food Security
   (CCAFS)
FX This paper would not have been possible without the project and
   financial support of CGIAR Research Program on Climate Change
   Agriculture and Food Security (CCAFS). We would like to thank the
   gracious community of Orbili for giving us unlimited access, and Michael
   Kettlewell and Dr. Durre Ahmad for their editorial assistance.
CR Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   [Anonymous], 2007, P 13 ACM SIGKDD INT
   Antwi-Agyei P, 2012, APPL GEOGR, V32, P324, DOI 10.1016/j.apgeog.2011.06.010
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Borgatti S.P., 2011, The SAGE Handbook of Social Network Analysis, V1, P417, DOI [10.4135/9781446294413.n28, DOI 10.4135/9781446294413.N28]
   Borgatti S.P., 2018, Analyzing Social Networks
   Borgatti SP, 2009, SCIENCE, V323, P892, DOI 10.1126/science.1165821
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Burt R., 2002, Structural Holes: The Social Structure of Competition
   BURT RS, 1984, SOC NETWORKS, V6, P293, DOI 10.1016/0378-8733(84)90007-8
   Cameron ES, 2012, GLOBAL ENVIRON CHANG, V22, P103, DOI 10.1016/j.gloenvcha.2011.11.004
   Cash DW, 2006, ECOL SOC, V11
   Cassidy L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04963-170411
   Chambers R, 1994, I DEV STUDIES
   Chaudhury AS, 2016, GLOBAL ENVIRON CHANG, V38, P243, DOI 10.1016/j.gloenvcha.2016.03.011
   Chaudhury AS, 2016, MITIG ADAPT STRAT GL, V21, P301, DOI 10.1007/s11027-014-9600-5
   CHIOTTI QP, 1995, J RURAL STUD, V11, P335, DOI 10.1016/0743-0167(95)00023-G
   Cleary J, 2016, J RURAL STUD, V48, P33, DOI 10.1016/j.jrurstud.2016.09.008
   Crona BI, 2006, ECOL SOC, V11
   Doreian Patrick., 1998, The Problem of Solidarity: Theories and Models
   Ferguson J., 1994, Ecologist, V24, P176
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Friedland R., 1991, NEW I ORG ANAL, V38, P232, DOI DOI 10.7208/CHICAGO/9780226185941.001.0001
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hanneman R.A., 2011, SAGE HDB SOCIAL NETW, P331, DOI DOI 10.4135/9781446294413
   Hanneman R. A., 2005, Introduction to Social Network Methods
   Hanneman RobertA., 2011, SAGE HDB SOCIAL NETW, P364, DOI DOI 10.4135/9781446294413.N24
   Haythornthwaite C., 1996, LIB INFORM SCI RES, V18, P323, DOI [DOI 10.1016/S0740-8188(96)90003-1, 10.1016/s0740-8188(96)90003-1]
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   HOLLAND PW, 1973, J MATH SOCIOL, V3, P85, DOI 10.1080/0022250X.1973.9989825
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   IBARRA H, 1993, ADMIN SCI QUART, V38, P277, DOI 10.2307/2393414
   Janssen MA, 2006, ECOL SOC, V11
   Johnson A.W., 2000, EVOLUTION HUMAN SOC
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kendall MG, 1938, BIOMETRIKA, V30, P81, DOI 10.2307/2332226
   King Gary., 1994, Designing Social Inquiry
   Laumann E. O., 1989, Research Methods in Social Network Analysis, P61, DOI DOI 10.1504/IJTM.2016.075162
   Lenski Gerald., 1966, POWER PRIVILEGE
   LINCOLN JR, 1979, ADMIN SCI QUART, V24, P181, DOI 10.2307/2392493
   Lyle G, 2015, J RURAL STUD, V37, P38, DOI 10.1016/j.jrurstud.2014.10.004
   Mach K.J., 2014, CONTRIBUTION WORKING
   Marin A, 2011, The SAGE handbook of social network analysis, V11, P25, DOI DOI 10.4135/9781446294413.N2
   MARSDEN PV, 1990, ANNU REV SOCIOL, V16, P435, DOI 10.1146/annurev.so.16.080190.002251
   MCCARTY C, 2003, SOCIAL NETWORK ANAL
   McGray H., 2007, Weathering the Storm: Options for Framing Adaptation and Development
   McKitterick L, 2016, J RURAL STUD, V48, P41, DOI 10.1016/j.jrurstud.2016.09.005
   McSweeney C., 2012, UNDP Climate Change Country Profiles: Senegal
   Mikkelsen B., 2005, Methods for Development Work and Research: A New Guide for Practitioners, V2nd
   Mosse D, 2004, DEV CHANGE, V35, P639, DOI 10.1111/j.0012-155X.2004.00374.x
   Naab J. B., 2011, CGIAR RES PROGRAM CL
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Newman L., 2005, Ecology and Society, V10, pr2, DOI [DOI 10.5751/ES-01396-1001R02, DOI 10.5751/ES-01396-1001r02]
   Notenbaert A., 2012, DERIVATION HOUSEHOLD
   Ostrom Elinor, 2010, SOLS. J., V27, P27
   Perry-Smith JE, 2003, ACAD MANAGE REV, V28, P89
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Ribot J. C., 1996, CLIMATE CHANGE SOCIA
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Sage C, 2013, J RURAL STUD, V29, P71, DOI 10.1016/j.jrurstud.2012.02.005
   Satterthwaite D, 2011, ENVIRON URBAN, V23, P339, DOI 10.1177/0956247811420009
   Scott J., 2011, The SAGE handbook of social network analysis
   Sen A., 1984, RESOURCES VALUES DEV
   Smit B., 2003, CLIMATE CHANGE ADAPT, DOI [https://doi.org/10.1142/9781860945816_0002, DOI 10.1142/9781860945816_0002]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Soya C. A., 2014, 68 CCAFS
   Sparrowe RT, 2001, ACAD MANAGE J, V44, P316, DOI 10.5465/3069458
   Stein C, 2011, PHYS CHEM EARTH, V36, P1085, DOI 10.1016/j.pce.2011.07.083
   Tang J, 2009, 2ND ACM SIGCOMM WORKSHOP ON ONLINE SOCIAL NETWORKS (WOSN 09), P31
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Tompkins E. L., 2004, Ecology and Society, V9, P10
   UN, 2012, FOOD SEC SUST FUT
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   WALKER ME, 1993, SOCIOL METHOD RES, V22, P71, DOI 10.1177/0049124193022001004
   Wasserman S, 1994, Social Network Analysis: Methods and Applications, V1, DOI [10.1017/CBO9780511815478, DOI 10.1017/CBO9780511815478]
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   WELLMAN B, 1990, AM J SOCIOL, V96, P558, DOI 10.1086/229572
   Yaro JA, 2015, CLIM DEV, V7, P235, DOI 10.1080/17565529.2014.951018
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 90
TC 35
Z9 41
U1 5
U2 42
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 JUL
PY 2017
VL 53
BP 214
EP 228
DI 10.1016/j.jrurstud.2017.05.010
PG 15
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA FA9LJ
UT WOS:000405766800019
DA 2025-01-10
ER

PT J
AU Andreopoulos, D
   Damigos, D
AF Andreopoulos, Dimitrios
   Damigos, Dimitrios
TI To transfer or not to transfer? Evidence from validity and reliability
   tests for international transfers of non-market adaptation benefits in
   river basins
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Choice experiments; International benefit transfer; River adaptation
ID WATER-QUALITY IMPROVEMENTS; OF-THE-ART; CONTINGENT VALUATION; CHOICE
   EXPERIMENT; CLIMATE-CHANGE; COSTA-RICA; MODELS; STATE; HETEROGENEITY;
   EQUIVALENCE
AB The attempt to design cost-effective adaptation policies incorporating non-market values to inhibit climate change impacts on water resources may increase the interest in applying the Benefit Transfer method. Benefit Transfer is a practical way to consider non-market values using functions and estimates acquired through primary valuation methods from other sites. Among the primary methods, Choice Experiments appear to particularly accommodate Benefit Transfer. Nevertheless, validity and reliability of international value transfers obtained from Choice Experiments have not been adequately examined. To this end, two identical Choice Experiments were conducted in Greece and Italy in the context of river services adaptation, testing validity and reliability of Benefit Transfer. The application of validity and reliability tests for different types of transfers is supportive for the use of Benefit Transfer, at least for the value transfer types. In particular the reliability of value transfer was higher when income adjustments were taken into account. Overall, Benefit Transfer can be attentively considered to evaluate cost-effective adaptation policies across countries experiencing similar climate change trends. The latter gains more importance given that an international Benefit Transfer setting as regards the non-market benefits of adaptation to climate change for river services is absent in the relevant literature. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Andreopoulos, Dimitrios] Free Univ Bozen Bolzano, Fac Sci & Technol, Piazza Univ 5, I-39100 Bolzano, Italy.
   [Damigos, Dimitrios] Natl Tech Univ Athens, Sch Min & Met Engn, Iroon Polytexneiou 9, Athens 15780, Greece.
C3 Free University of Bozen-Bolzano; National Technical University of
   Athens
RP Andreopoulos, D (corresponding author), Free Univ Bozen Bolzano, Fac Sci & Technol, Piazza Univ 5, I-39100 Bolzano, Italy.
EM dandre6@gmail.com; damigos@metal.ntua.gr
RI Damigos, Dimitris/AAH-1963-2019; Damigos, Dimitris/A-1806-2016
OI Damigos, Dimitris/0000-0003-0142-7156
FU Faculty of Science and Technology of the Free University of
   Bozen-Bolzano
FX The authors would like to thank the Faculty of Science and Technology of
   the Free University of Bozen-Bolzano (CRC call 2013 internal research
   funds) for funding data collection. The authors would also like to thank
   the anonymous referees for their valuable comments and suggestions that
   greatly contributed to improving the final version of the manuscript.
CR Abou-Ali H., 2005, DOES BENEFIT TRANSFE
   Adamowicz W, 1998, AM J AGR ECON, V80, P64, DOI 10.2307/3180269
   Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   Andreopoulos D., 2015, J ENVIRON MANAGE, V160, P1
   Andreopoulos D, 2015, ENVIRON SCI POLICY, V45, P92, DOI 10.1016/j.envsci.2014.10.003
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2006, EC CLIMATE CHANGE ST, DOI DOI 10.1378/CHEST.128.5
   Barbier E, 2015, 72015 U WARS FAC EC
   Barton DN, 2002, ECOL ECON, V42, P147, DOI 10.1016/S0921-8009(02)00044-7
   Barton DN, 2003, ENVIRON DEV ECON, V8, P351, DOI 10.1017/S1355770X0300184
   Baruffi F, 2012, SCI TOTAL ENVIRON, V440, P154, DOI 10.1016/j.scitotenv.2012.07.070
   Baskaran R, 2010, ECOL ECON, V69, P1010, DOI 10.1016/j.ecolecon.2010.01.008
   Bateman IJ, 2011, ENVIRON RESOUR ECON, V50, P365, DOI 10.1007/s10640-011-9476-8
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Berger RL, 1996, STAT SCI, V11, P283
   Bickel P., 2005, 2005 EUROPEAN COMMIS
   BOYLE KJ, 1992, WATER RESOUR RES, V28, P657, DOI 10.1029/91WR02591
   Brouwer R, 2000, ECOL ECON, V32, P137, DOI 10.1016/S0921-8009(99)00070-1
   Brouwer R, 2016, ECOL ENG, V87, P20, DOI 10.1016/j.ecoleng.2015.11.018
   Brouwer R, 2015, AUST J AGR RESOUR EC, V59, P458, DOI 10.1111/1467-8489.12099
   Christie M, 2009, J AGR ECON, V60, P154, DOI 10.1111/j.1477-9552.2008.00178.x
   Colombo S, 2008, LAND ECON, V84, P128, DOI 10.3368/le.84.1.128
   Colombo S, 2007, AM J AGR ECON, V89, P135, DOI 10.1111/j.1467-8276.2007.00968.x
   Czajkowski M, 2010, ECOL ECON, V69, P2409, DOI 10.1016/j.ecolecon.2010.07.008
   European Environmental Agency, 2013, 32013 EEA
   Eurostat, 2013, GDP PER CAP PURCH PO
   Giannakopoulos C, 2011, REG ENVIRON CHANGE, V11, P829, DOI 10.1007/s10113-011-0219-8
   HANEMANN WM, 1984, AM J AGR ECON, V66, P332, DOI 10.2307/1240800
   Hanley N, 2006, EUR REV AGRIC ECON, V33, P391, DOI 10.1093/eurrag/jbl019
   Hensher DA, 2003, TRANSPORTATION, V30, P133, DOI 10.1023/A:1022558715350
   Huntjens P, 2010, REG ENVIRON CHANGE, V10, P263, DOI 10.1007/s10113-009-0108-6
   Iglesias A, 2011, ENVIRON SCI POLICY, V14, P744, DOI 10.1016/j.envsci.2011.02.007
   Jiang Y, 2005, ENVIRON RESOUR ECON, V31, P477, DOI 10.1007/s10640-005-3366-x
   Johnston RJ, 2010, RESOUR ENERGY ECON, V32, P421, DOI 10.1016/j.reseneeco.2009.11.003
   Johnston RJ, 2010, J ECON SURV, V24, P479, DOI 10.1111/j.1467-6419.2009.00592.x
   Kerr G., 2004, 2004 NZARES C BLENH
   Kirchhoff S, 1997, J ENVIRON ECON MANAG, V33, P75, DOI 10.1006/jeem.1996.0981
   KRINSKY I, 1986, REV ECON STAT, V68, P715, DOI 10.2307/1924536
   Kristofersson D, 2005, ENVIRON RESOUR ECON, V30, P279, DOI 10.1007/s10640-004-2303-8
   Kristoffersson D., 2007, 2007 ENV VAL TRANSF
   LOOMIS JB, 1992, WATER RESOUR RES, V28, P701, DOI 10.1029/91WR02596
   Louviere J.J., 2000, Stated Choice Models, DOI [10.1017/CBO9780511753831, DOI 10.1017/CBO9780511753831]
   Martin-Ortega J, 2012, J ENVIRON MANAGE, V106, P22, DOI 10.1016/j.jenvman.2012.03.031
   *METR, 2004, COST IMP CLIM CHANG
   Morrison M, 2002, AM J AGR ECON, V84, P161, DOI 10.1111/1467-8276.00250
   Morrison M, 2006, ECOL ECON, V60, P420, DOI 10.1016/j.ecolecon.2006.06.014
   Morrison MD, 2000, ENVIRON RESOUR ECON, V16, P407, DOI 10.1023/A:1008368611972
   Muthke T, 2004, ENVIRON RESOUR ECON, V29, P323, DOI 10.1007/s10640-004-5268-8
   Navrud S, 2007, ECON NON-MARK GOOD, V9, P1, DOI 10.1007/1-4020-5405-X_1
   Nordh H, 2011, URBAN FOR URBAN GREE, V10, P95, DOI 10.1016/j.ufug.2010.12.003
   Olschewski R, 2012, FOREST POLICY ECON, V15, P108, DOI [10.1016/j.forpol.2011.10.002, 10.1016/j.forpol.2012.02.016]
   Orme B., 2010, Getting Started With Conjoint Analysis: Strategies for Product Design and Pricing Research, V2nd
   Östberg K, 2013, CAN J AGR ECON, V61, P239, DOI 10.1111/cjag.12010
   Pearce D., 1994, Project and Policy Appraisal: Integrating Economics and the Environment
   POE GL, 1994, AM J AGR ECON, V76, P904, DOI 10.2307/1243750
   Poirier J., 2010, 59 C ASS FRANC SCI E
   Ready R, 2004, ENVIRON RESOUR ECON, V29, P67, DOI 10.1023/B:EARE.0000035441.37039.8a
   Ready R, 2006, ECOL ECON, V60, P429, DOI 10.1016/j.ecolecon.2006.05.008
   Rozan A, 2004, ENVIRON RESOUR ECON, V29, P295, DOI 10.1007/s10640-004-5266-x
   Scarpa R., 2007, ENV VALUE TRANSFER I, P89
   SCHUIRMANN DJ, 1987, J PHARMACOKINET BIOP, V15, P657, DOI 10.1007/BF01068419
   SWAIT J, 1993, J MARKETING RES, V30, P305, DOI 10.2307/3172883
   Tol RSJ, 2002, ENVIRON RESOUR ECON, V21, P47, DOI 10.1023/A:1014500930521
   Train K., 2002, Discrete choice methods with simulation
   Wilson MA, 2006, ECOL ECON, V60, P335, DOI 10.1016/j.ecolecon.2006.08.015
NR 65
TC 13
Z9 14
U1 3
U2 34
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD JAN 1
PY 2017
VL 185
BP 44
EP 53
DI 10.1016/j.jenvman.2016.10.047
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ED3VZ
UT WOS:000388777900005
PM 28029479
DA 2025-01-10
ER

PT J
AU Rummer, JL
   Munday, PL
AF Rummer, Jodie L.
   Munday, Philip L.
TI Climate change and the evolution of reef fishes: past and future
SO FISH AND FISHERIES
LA English
DT Article
DE acclimation; adaptation; global warming; ocean acidification; plasticity
ID EARLY-LIFE HISTORY; OCEAN ACIDIFICATION; ELEVATED-TEMPERATURE;
   CARBON-DIOXIDE; CORAL-REEFS; THERMAL TOLERANCE; OXYGEN LIMITATION;
   HOMING ABILITY; CO2; IMPACTS
AB Predicting the impacts of ocean warming and acidification on marine ecosystems requires an evolutionary perspective because, for most marine species, these environmental changes will occur over a number of generations. Acclimation through phenotypic plasticity and adaptation through genetic selection could help populations of some species cope with future warmer and more acidic oceans. Coral reef species are predicted to be some of the most vulnerable to climate change because they live close to their thermal limits. Yet, their evolutionary history may indicate that they possess adaptations that enable them to cope with a high CO2 environment. Here, we first explore the evolutionary history of reef fishes and how their history has shaped their physiological adaptations to environmental temperatures and pCO(2). We examine current-day thermal and CO2 environments experienced by coral reef fishes and summarize experimental studies that have tested how they respond to elevated temperatures and pCO(2) levels. We then examine evidence for acclimation and adaptation to projected ocean warming and acidification. Indeed, new studies have demonstrated the potential for transgenerational plasticity and heritable genetic variation that would allow some fishes to maintain performance as the oceans warm and become more acidic. We conclude by outlining management approaches - specifically those that can help preserve genetic variation by maintaining population size - to enhance the potential for genetic adaptation to climate change.
C1 [Rummer, Jodie L.; Munday, Philip L.] James Cook Univ, ARC, Ctr Excellence Coral Reef Studies, Townsville, Qld 4814, Australia.
C3 James Cook University
RP Munday, PL (corresponding author), James Cook Univ, ARC, Ctr Excellence Coral Reef Studies, Townsville, Qld 4811, Australia.
EM philip.munday@jcu.edu.au
RI Rummer, Jodie/A-6524-2015; Munday, Philip/F-5443-2011
OI Rummer, Jodie/0000-0001-6067-5892; Munday, Philip/0000-0001-9725-2498
CR Albright R, 2013, BIOGEOSCIENCES, V10, P6747, DOI 10.5194/bg-10-6747-2013
   Allan BJM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058520
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   [Anonymous], 2004, GSA Today, DOI DOI 10.1130/1052-5173(2004)014
   [Anonymous], 2013, Ocean Acidif, DOI [10.2478/oac-2012-0001, DOI 10.2478/OAC-2012-0001]
   Baker DW, 2009, AM J PHYSIOL-REG I, V296, pR1868, DOI 10.1152/ajpregu.90767.2008
   Bellwood David R., 2002, P5, DOI 10.1016/B978-012615185-5/50003-7
   Bellwood DR, 1996, CORAL REEFS, V15, P11, DOI 10.1007/BF01626074
   Brauner CJ, 2009, CARDIO-RESPIRATORY CONTROL IN VERTEBRATES: COMPARATIVE AND EVOLUTIONARY ASPECTS, P43, DOI 10.1007/978-3-540-93985-6_3
   Burt JA, 2011, ICES J MAR SCI, V68, P1875, DOI 10.1093/icesjms/fsr129
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Choat J.H., 1991, P39
   Choat JH, 2012, BIOL J LINN SOC, V107, P529, DOI 10.1111/j.1095-8312.2012.01959.x
   Chung WS, 2014, J EXP BIOL, V217, P323, DOI 10.1242/jeb.092478
   Clack JA, 2007, INTEGR COMP BIOL, V47, P510, DOI 10.1093/icb/icm055
   Collins G.M., 2013, Conservation Physiology, V1, DOI [10.1093/conphys/cot29, DOI 10.1093/CONPHYS/COT29, DOI 10.1093/CONPHYS/COT023]
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Couturier CS, 2013, COMP BIOCHEM PHYS A, V166, P482, DOI 10.1016/j.cbpa.2013.07.025
   Cowman PF, 2011, J EVOLUTION BIOL, V24, P2543, DOI 10.1111/j.1420-9101.2011.02391.x
   Cowman PF, 2013, J BIOGEOGR, V40, P209, DOI 10.1111/jbi.12003
   Cripps IL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022736
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Devine BM, 2012, OECOLOGIA, V168, P269, DOI 10.1007/s00442-011-2081-2
   Dixson DL, 2010, ECOL LETT, V13, P68, DOI 10.1111/j.1461-0248.2009.01400.x
   Donelson JM, 2012, NAT CLIM CHANGE, V2, P30, DOI 10.1038/NCLIMATE1323
   Donelson JM, 2010, MAR ECOL PROG SER, V401, P233, DOI 10.3354/meps08366
   Donelson JM, 2015, GLOBAL CHANGE BIOL, V21, P2954, DOI 10.1111/gcb.12912
   Donelson JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097223
   Donelson JM, 2011, GLOBAL CHANGE BIOL, V17, P1712, DOI 10.1111/j.1365-2486.2010.02339.x
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Doney SC, 2010, SCIENCE, V328, P1512, DOI 10.1126/science.1185198
   Eliason EJ, 2011, SCIENCE, V332, P109, DOI 10.1126/science.1199158
   Erwin DH, 2011, SCIENCE, V334, P1091, DOI 10.1126/science.1206375
   Feary DA, 2010, J FISH BIOL, V77, P1931, DOI 10.1111/j.1095-8649.2010.02777.x
   Ferrari MCO, 2015, GLOBAL CHANGE BIOL, V21, P1848, DOI 10.1111/gcb.12818
   Ferrari MCO, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031478
   Ferrari MCO, 2011, ECOL LETT, V14, P1143, DOI 10.1111/j.1461-0248.2011.01683.x
   Ferrari MCO, 2011, GLOBAL CHANGE BIOL, V17, P2980, DOI 10.1111/j.1365-2486.2011.02439.x
   Frankham R., 1996, CONSERV BIOL, V21, P1848
   FRY FEJ, 1948, BIOL BULL-US, V94, P66, DOI 10.2307/1538211
   Gardiner NM, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013299
   Goatley CHR, 2010, PALEOBIOLOGY, V36, P415, DOI 10.1666/09035.1
   Hamilton TJ, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2509
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Heinrich DDU, 2014, CONSERV PHYSIOL, V2, DOI 10.1093/conphys/cou047
   Heuer RM, 2014, AM J PHYSIOL-REG I, V307, pR1061, DOI 10.1152/ajpregu.00064.2014
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
   Hönisch B, 2012, SCIENCE, V335, P1058, DOI 10.1126/science.1208277
   Hofmann GE, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028983
   Iftikar FI, 2014, J EXP BIOL, V217, P2348, DOI 10.1242/jeb.098798
   Ilves KL, 2007, FISH PHYSIOL, V26, P515, DOI 10.1016/S1546-5098(07)26010-8
   Ishimatsu A, 2008, MAR ECOL PROG SER, V373, P295, DOI 10.3354/meps07823
   Johansen JL, 2015, SCI REP-UK, V5, DOI 10.1038/srep13830
   Johansen JL, 2014, GLOBAL CHANGE BIOL, V20, P1067, DOI 10.1111/gcb.12452
   Johansen JL, 2011, GLOBAL CHANGE BIOL, V17, P2971, DOI 10.1111/j.1365-2486.2011.02436.x
   Johnson DW, 2010, EVOLUTION, V64, P2614, DOI 10.1111/j.1558-5646.2010.01027.x
   Johnson MS, 2016, CONSERV PHYSIOL, V4, DOI 10.1093/conphys/cow003
   Jones GP, 2004, P NATL ACAD SCI USA, V101, P8251, DOI 10.1073/pnas.0401277101
   KARDONG K.V., 2012, Vertebrates: Comparative Anatomy, Function, Evolution
   Kleypas JA, 2009, OCEANOGRAPHY, V22, P108, DOI 10.5670/oceanog.2009.101
   Kovach RP, 2012, P ROY SOC B-BIOL SCI, V279, P3870, DOI 10.1098/rspb.2012.1158
   Lüthi D, 2008, NATURE, V453, P379, DOI 10.1038/nature06949
   Malvezzi AJ, 2015, EVOL APPL, V8, P352, DOI 10.1111/eva.12248
   Manzello DP, 2010, CORAL REEFS, V29, P749, DOI 10.1007/s00338-010-0623-4
   Masson-Delmotte V, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P383
   McCormick MI, 2013, SCI REP-UK, V3, DOI 10.1038/srep03280
   McNeil BI, 2016, NATURE, V529, P383, DOI 10.1038/nature16156
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Miller GM, 2015, ECOL APPL, V25, P603, DOI 10.1890/14-0559.1
   Miller GM, 2012, NAT CLIM CHANGE, V2, P858, DOI 10.1038/NCLIMATE1599
   Mora C, 2001, MAR BIOL, V139, P765
   Munday PL, 2008, CORAL REEFS, V27, P927, DOI 10.1007/s00338-008-0393-4
   Munday PL, 2008, FISH FISH, V9, P261, DOI 10.1111/j.1467-2979.2008.00281.x
   Munday Philip L, 2014, F1000Prime Rep, V6, P99, DOI 10.12703/P6-99
   Munday PL, 2014, NAT CLIM CHANGE, V4, P487, DOI [10.1038/NCLIMATE2195, 10.1038/nclimate2195]
   Munday PL, 2013, ECOL LETT, V16, P1488, DOI 10.1111/ele.12185
   Munday PL, 2013, MAR BIOL, V160, P2137, DOI 10.1007/s00227-012-2111-6
   Munday PL, 2012, J EXP BIOL, V215, P3865, DOI 10.1242/jeb.074765
   Munday PL, 2011, MAR ECOL PROG SER, V423, P211, DOI 10.3354/meps08990
   Munday PL, 2010, P NATL ACAD SCI USA, V107, P12930, DOI 10.1073/pnas.1004519107
   Munday PL, 2009, MAR ECOL PROG SER, V388, P235, DOI 10.3354/meps08137
   Munday PL, 2009, P ROY SOC B-BIOL SCI, V276, P3275, DOI 10.1098/rspb.2009.0784
   Munday PL, 2009, P NATL ACAD SCI USA, V106, P1848, DOI 10.1073/pnas.0809996106
   Muñoz NJ, 2015, NAT CLIM CHANGE, V5, P163, DOI 10.1038/NCLIMATE2473
   Murray CS, 2014, MAR ECOL PROG SER, V504, P1, DOI 10.3354/meps10791
   Near TJ, 2012, P NATL ACAD SCI USA, V109, P13698, DOI 10.1073/pnas.1206625109
   Nguyen KDT, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029340
   Nilsson GE, 2012, NAT CLIM CHANGE, V2, P201, DOI [10.1038/NCLIMATE1352, 10.1038/nclimate1352]
   Nilsson GE, 2010, COMP BIOCHEM PHYS A, V156, P389, DOI 10.1016/j.cbpa.2010.03.009
   Nilsson GE, 2009, GLOBAL CHANGE BIOL, V15, P1405, DOI 10.1111/j.1365-2486.2008.01767.x
   Norris RD, 2013, SCIENCE, V341, P492, DOI 10.1126/science.1240543
   Pandolfi John M, 2009, F1000 Biol Rep, V1, P43, DOI 10.3410/B1-43
   Pankhurst NW, 2011, MAR FRESHWATER RES, V62, P1015, DOI 10.1071/MF10269
   Pellissier L, 2014, SCIENCE, V344, P1016, DOI 10.1126/science.1249853
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   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
   Pörtner HO, 2001, NATURWISSENSCHAFTEN, V88, P137
   Pratchett MS, 2008, OCEANOGR MAR BIOL, V46, P251, DOI 10.1201/9781420065756.ch6
   Pratchett Morgan S., 2015, P127
   PRIEDE IG, 1977, NATURE, V267, P610, DOI 10.1038/267610a0
   Randall DJ, 2014, J EXP BIOL, V217, P1205, DOI 10.1242/jeb.093526
   Rummer JL, 2014, GLOBAL CHANGE BIOL, V20, P1055, DOI 10.1111/gcb.12455
   Rummer JL, 2013, SCIENCE, V340, P1327, DOI 10.1126/science.1233692
   Salinas S., 2012, Non-Genet Inherit, V1, P38
   Salinas S, 2012, ECOL LETT, V15, P159, DOI 10.1111/j.1461-0248.2011.01721.x
   Schade FM, 2014, BMC EVOL BIOL, V14, DOI 10.1186/s12862-014-0164-5
   Shaw EC, 2013, GEOPHYS RES LETT, V40, P4685, DOI 10.1002/grl.50883
   Shaw EC, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007655
   Simpson SD, 2011, BIOL LETTERS, V7, P917, DOI 10.1098/rsbl.2011.0293
   Stillman JH, 2003, SCIENCE, V301, P65, DOI 10.1126/science.1083073
   Sunday JM, 2014, TRENDS ECOL EVOL, V29, P117, DOI 10.1016/j.tree.2013.11.001
   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
   Tewksbury JJ, 2008, SCIENCE, V320, P1296, DOI 10.1126/science.1159328
   Ward P., 2006, Out of thin air: dinosaurs, birds, and Earth's ancient atmosphere
   Welch MJ, 2014, NAT CLIM CHANGE, V4, P1086, DOI 10.1038/NCLIMATE2400
   Wood C.M., 1997, Global Warming: Implications for Freshwater and Marine Fish
NR 120
TC 43
Z9 47
U1 2
U2 81
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 JAN
PY 2017
VL 18
IS 1
BP 22
EP 39
DI 10.1111/faf.12164
PG 18
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA EO0SC
UT WOS:000396407200002
DA 2025-01-10
ER

PT J
AU Joyce, LA
   Blate, GM
   McNulty, SG
   Millar, CI
   Moser, S
   Neilson, RP
   Peterson, DL
AF Joyce, Linda A.
   Blate, Geoffrey M.
   McNulty, Steven G.
   Millar, Constance I.
   Moser, Susanne
   Neilson, Ronald P.
   Peterson, David L.
TI Managing for Multiple Resources Under Climate Change: National Forests
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Resilience; Resistance; Anticipatory management; Planning; Assessments;
   Adaptation
ID UNITED-STATES; GLOBAL-CHANGE; RESPONSES; VULNERABILITY; ADAPTATION;
   ECOSYSTEMS; FRAMEWORK; SCIENCE; FACE
AB This study explores potential adaptation approaches in planning and management that the United States Forest Service might adopt to help achieve its goals and objectives in the face of climate change. Availability of information, vulnerability of ecological and socio-economic systems, and uncertainties associated with climate change, as well as the interacting non-climatic changes, influence selection of the adaptation approach. Resource assessments are opportunities to develop strategic information that could be used to identify and link adaptation strategies across planning levels. Within a National Forest, planning must incorporate the opportunity to identify vulnerabilities to climate change as well as incorporate approaches that allow management adjustments as the effects of climate change become apparent. The nature of environmental variability, the inevitability of novelty and surprise, and the range of management objectives and situations across the National Forest System implies that no single approach will fit all situations. A toolbox of management options would include practices focused on forestalling climate change effects by building resistance and resilience into current ecosystems, and on managing for change by enabling plants, animals, and ecosystems to adapt to climate change. Better and more widespread implementation of already known practices that reduce the impact of existing stressors represents an important "no regrets" strategy. These management opportunities will require agency consideration of its adaptive capacity, and ways to overcome potential barriers to these adaptation options.
C1 [Joyce, Linda A.] USFS Rocky Mt Res Stn, Ft Collins, CO 80526 USA.
   [Blate, Geoffrey M.] Chulalongkorn Univ, WWF Greater Mekong Programme, Policy Off, Bangkok 10330, Thailand.
   [McNulty, Steven G.] USFS So Res Stn, So Global Change Program, Raleigh, NC 27606 USA.
   [Millar, Constance I.] USFS Pacific SW Res Stn, Sierra Nevada Res Ctr, Albany, CA 94710 USA.
   [Moser, Susanne] Univ Calif Santa Cruz, Inst Marine Sci, Santa Cruz, CA 95060 USA.
   [Moser, Susanne] Susanne Moser Res & Consulting, Santa Cruz, CA 95060 USA.
   [Neilson, Ronald P.] US Forest Serv, Pacific NW Res Stn, Corvallis, OR 97331 USA.
   [Peterson, David L.] USFS Pacific Wildland Fire Sci Lab, Seattle, WA 98103 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Chulalongkorn University; United States Department of
   Agriculture (USDA); United States Forest Service; United States
   Department of Agriculture (USDA); United States Forest Service;
   University of California System; University of California Santa Cruz;
   United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service
RP Joyce, LA (corresponding author), USFS Rocky Mt Res Stn, 240 W Prospect, Ft Collins, CO 80526 USA.
EM ljoyce@fs.fed.us
OI McNulty, Steven/0000-0003-4518-5646
FU US Forest Service; AAAS Science & Technology Policy; U.S. EPA
FX We thank the US Climate Change Science Program and the Lead Authors of
   Science and Assessment Product 4.4, Susan Julius and Jordan West and the
   three anonymous reviewers. Support was provided by the US Forest
   Service, and for Blate, from the AAAS Science & Technology Policy Fellow
   Program, and the U.S. EPA.
CR Adger N., 2003, CLIMATE CHANGE ADAPT, P29, DOI DOI 10.1142/9781860945816_0003
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Anderson J. L., 2003, P203
   Bachelet D, 2008, GLOBAL PLANET CHANGE, V64, P38, DOI 10.1016/j.gloplacha.2008.01.007
   Backlund P., 2008, Climate Change Science Program
   Baron J.S., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Carroll AL, 2004, PACIF FOR C, V399, P223
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Fagre D.B., 2009, Thresholds of Climate Change in Ecosystems. A report by the US Climate Change Science Program and the Subcommittee on Global Change Research
   Felzer B, 2004, TELLUS B, V56, P230, DOI 10.1111/j.1600-0889.2004.00097.x
   Government Accountability Office (GAO), 2007, GAO07863
   [于超 YU Chao], 2008, [电子显微学报, Journal of Chinese Electronic Microscopy Society], V27, P1
   Halpin PN, 1997, ECOL APPL, V7, P828
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Irland Lloyd C., 2001, Bioscience, V51, P753, DOI 10.1641/0006-3568(2001)051[0753:ASIOCC]2.0.CO;2
   Iverson LR, 2001, ECOSYSTEMS, V4, P186, DOI 10.1007/s10021-001-0003-6
   Johnston M, 2007, FOREST CHRON, V83, P358, DOI 10.5558/tfc83358-3
   Joyce L. A., 2000, General Technical Report - Rocky Mountain Research Station, USDA Forest Service
   Joyce LA, 2007, MANAG FOR ECOSYST, V14, P449
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   LEDIG FT, 1992, FOREST ECOL MANAG, V50, P153, DOI 10.1016/0378-1127(92)90321-Y
   [Lemmen DonaldS. Natural Resources Canada Natural Resources Canada], 2004, CLIMATE CHANGE IMPAC
   Lenihan JM, 2008, GLOBAL PLANET CHANGE, V64, P16, DOI 10.1016/j.gloplacha.2008.01.006
   Littell J.S., CLIMATIC CH IN PRESS
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Miao SL, 2009, AM NAT, V173, P113, DOI 10.1086/593307
   Millar C.I., 2006, Foundations of Restoration Ecology, P315
   Millar CI, 1999, ECOL APPL, V9, P1207, DOI 10.1890/1051-0761(1999)009[1207:TROCCI]2.0.CO;2
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moser SC, 2005, GLOBAL ENVIRON CHANG, V15, P353, DOI 10.1016/j.gloenvcha.2005.08.002
   Parry M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Ryan M.G., 2008, EFFECTS CLIMATE CHAN, P75
   Schneider S.H., 2002, Wildlife responses to climate change: North American case studies
   Scholze M, 2006, P NATL ACAD SCI USA, V103, P13116, DOI 10.1073/pnas.0601816103
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   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
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Suffling R, 2002, ENVIRON MONIT ASSESS, V74, P117, DOI 10.1023/A:1013810910748
   Swetnam TW, 2008, INT J WILDLAND FIRE, V17, P1, DOI 10.1071/WF08016
   Swetnam TW, 1998, J CLIMATE, V11, P3128, DOI 10.1175/1520-0442(1998)011<3128:MDAERT>2.0.CO;2
   *USDA, 1994, 27 USDA FOR SERV
   *USDA, 2007, FS880 USDA FOR SERV
   *USDA, 2000, 687 FS USDA FOR SERV
   *USDA, 2004, FS805 USDA FOR SERV
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   WEST C, 2005, COMMUNICATION   0726
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Willis KJ, 2006, SCIENCE, V314, P1261, DOI 10.1126/science.1122667
   *WRI COLL UN DEV P, 2008, WORLD RES 2008 ROOTS
   Ying CC, 2006, FOREST ECOL MANAG, V227, P1, DOI 10.1016/j.foreco.2006.02.028
NR 58
TC 79
Z9 104
U1 0
U2 42
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD DEC
PY 2009
VL 44
IS 6
BP 1022
EP 1032
DI 10.1007/s00267-009-9324-6
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 530TN
UT WOS:000272615300002
PM 19588192
DA 2025-01-10
ER

PT J
AU Pancewicz, A
AF Pancewicz, Alina
TI Urban Nature as an Active Means of Adapting Public Spaces to Climate
   Conditions: Case Studies from Copenhagen and Selected Polish Cities
SO CIVIL AND ENVIRONMENTAL ENGINEERING REPORTS
LA English
DT Article
DE climate adaptation; nature environment; urban resilience; strategic
   planning; adaptation activities
ID ADAPTATION; CHALLENGE
AB Progressive climate change brings many challenges to cities, which, in an effort to meet them, are looking for ways to create a built environment that is resilient and adapted to change. The subject of the paper is the urban nature, which, skillfully used and introduced into public space, becomes an active tool for adapting cities to future climate conditions. The aim of the paper is to identify key solutions to introduce urban nature into public spaces in the context of model strategic planning and urban design undertaken in cities. To this aim, development strategies, with a particular focus on urban nature, developed in Copenhagen over the past few years, were researched. Of those identified, the directions and actions that address public spaces and holistically link the needs of the built and natural environment with the needs of humans were selected. Research leads to a comparison of the model strategies and selected implementations used in Copenhagen, prioritizing the urban nature, with examples of strategic development policies and adaptation projects implemented in the public spaces of selected Polish cities. The result of the research is an assessment of the completeness of climate change adaptation measures undertaken in Poland, using the potential of urban nature in public spaces and recommendations for updating planning and strategic documents based on Copenhagen's model solutions.
C1 [Pancewicz, Alina] Silesian Tech Univ, Fac Architecture, Gliwice, Poland.
   [Pancewicz, Alina] Silesian Tech Univ, Fac Architecture, Akad 7, PL-44100 Gliwice, Poland.
C3 Silesian University of Technology; Silesian University of Technology
RP Pancewicz, A (corresponding author), Silesian Tech Univ, Fac Architecture, Akad 7, PL-44100 Gliwice, Poland.
EM alina.pancewicz@polsl.pl
CR 1til1landskab, SCAND 11 LANDSK
   44mpa, CLIM CHANG AD PLANS
   [Anonymous], SEM PAP 1 YEAR UNPUB
   [Anonymous], DEV URB AD PLANS CIT
   [Anonymous], 2017, Journal of Laws of 2017
   [Anonymous], 2016, COP 1 CLIM RES NEIGH
   [Anonymous], 2014, EMPOWERMENT AESTHETI
   [Anonymous], 2014, FUT SANKT ANN PLADS
   Avramidou M., 2021, IOP C SERIES EARTH E, V899, P012011, DOI [10.1088/1755-1315/899/1/012011, DOI 10.1088/1755-1315/899/1/012011]
   Bassolino E., 2019, UPLAND J URBAN PLAN, V4, P21, DOI DOI 10.6092/2531-9906/6109
   Bradecki T, 2021, PARK KIESZONKOWY GLI
   Buijs A., 2016, Innovative governance of urban green spaces
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Bynatur in Copenhagen, 2015, STRAT 2015 2025
   Cities of nature, NEW NORD MOD 2016
   Climate adaptation and Urban Nature, 2016, DEV CAT
   Copenhagen climate projects, 2014, ANN REPORT
   Cortesao J, 2016, INDOOR BUILT ENVIRON, V25, P1085, DOI 10.1177/1420326X16659326
   Crawford J., 2009, PLANNING CLIMATE CHA, DOI DOI 10.4324/9781849770156
   D'Ambrosio V, 2015, TECHNE, V10, P130
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Egerer M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   Enghaveparken-climate park, 3 NAT
   Fritz M, 2017, THEOR PRACT URB SUST, P291, DOI 10.1007/978-3-319-56091-5_17
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   Hansen R., 2017, Green Surge
   Intersectoral cooperation for greenery in the city, 2018, SUST APPL, V6
   Keenan JM, 2019, INT J URBAN SUSTAIN, V11, P297, DOI 10.1080/19463138.2019.1565413
   Kiel KA, 2021, WP21KK1 LINC I LAND
   kk, POL MUN COP
   KLIMA 100, 2018, 100 CLIM SOL DAN MUN
   Koefoed O, 2019, LOCAL ECON, V34, P525, DOI 10.1177/0269094219882670
   Kusinska E, 2012, HOUSING ENV, V10, P18
   Losasso M., 2016, UPLanD-J. Urban Plan. Landsc. Environ. Des, V1, P219
   Mariano C., 2018, UPLanD-Journal of Urban Planning, Landscape environmental Design, V3, P55
   Mariano C, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6030063
   Masik G, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103381
   Mathey J, 2011, LOCAL SUSTAIN, V1, P479, DOI 10.1007/978-94-007-0785-6_47
   Mazur K, 2022, BUILDER, V302, P28
   orestad, NAT BIOD
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pancewicz A, 2011, SRODOWISKO PRZYRODNI
   Pancewicz A, 2021, 6 WORLD MULTIDISCIPL, P145
   Pancewicz A, 2021, ARCHIT CIV ENG ENVIR, V14, P31, DOI 10.21307/ACEE-2021-029
   Rzenca A, 2021, ENV ADAPTATION CLIMA
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Sankt Annae Plads, LANDSC ARCH SCHONH
   Sankt Kjelds Square and Bryggervangen, 2020, LAND INT LANDSC AW
   Scandiagade, 2020, LAND INT LANDSC AW
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   sites.itera, 2020, COMM COP STAT 2020
   Tasinge Plads, CLIM DISTR
   The Enghaveparken Climate parken in Copenhagen now attracts both people and stormwater drainoff, 2021, CLIM CHANG AD
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Zölch T, 2019, BUILD ENVIRON, V149, P640, DOI 10.1016/j.buildenv.2018.12.051
   Zuziak Z, 2017, BUDOWNICTWO ARCHITEK, V16, P183, DOI [10.24358/Bud-Arch_17_161_16, DOI 10.24358/BUD-ARCH_17_161_16]
NR 58
TC 4
Z9 4
U1 3
U2 10
PU SCIENDO
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND
SN 2080-5187
EI 2450-8594
J9 CIV ENVIRON ENG REP
JI Civ. Environ. Eng. Rep.
PD DEC 1
PY 2022
VL 32
IS 4
BP 123
EP 146
DI 10.2478/ceer-2022-0049
PG 24
WC Engineering, Civil
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA 7T1SQ
UT WOS:000911228400009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Leith, P
   Warman, R
   Harwood, A
   Bosomworth, K
   Wallis, P
AF Leith, Peat
   Warman, Russell
   Harwood, Andrew
   Bosomworth, Karyn
   Wallis, Phillip
TI An operation on 'the neglected heart of science policy': Reconciling
   supply and demand for climate change adaptation research
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Science policy; Adaptation; Climate change; Sustainability science;
   Natural resource management
ID SUSTAINABLE DEVELOPMENT; KNOWLEDGE; ORGANIZATIONS; INFORMATION
AB We report on an initiative that sought to negotiate the intersections of science, policy and practice through reconciling supply and demand (RSD) for research. We propose a synthesised framework that can be used to either inform or analyse the practice of RSD, then examine an Australia-wide program that was designed to link research with strategic regional planning for climate change adaptation in natural resource management. Cross scale lessons from this endeavour at national (program), and regional (project) scales suggest that framing RSD in opposition to linear or deficit approaches that hinge on delivery of scientific information presents an incomplete view. RSD engages with pre-existing institutionalised practices and understandings and in doing so changes both the supply (research) and demand (policy/practice) side. In the case examined here, scientific information products were initially prioritised by funders over processes for collective knowledge generation. However a widely aclmowledged need for capacity building and co-creation ultimately informed project activities. We argue that in taking RSD seriously, programs and projects will often need to actively shift their focus from the delivery of information products towards prioritising less visible processes and outcomes. Combined process- and outcome-orientation, in turn, must pay attention to expert legitimization, and how knowledge can have a bearing on (and potentially change) established institutions and practices of decision-making.
C1 [Leith, Peat] Univ Tasmania, Tasmanian Inst Agr, Private Bag 98, Hobart, Tas 7000, Australia.
   [Warman, Russell; Harwood, Andrew] Univ Tasmania, Sch Technol Environm & Design, Hobart, Tas, Australia.
   [Bosomworth, Karyn] RMIT, Ctr Urban Res, Melbourne, Vic, Australia.
   [Wallis, Phillip] Victorian Catchment Management Council, East Melbourne, Vic, Australia.
C3 University of Tasmania; University of Tasmania; Royal Melbourne
   Institute of Technology (RMIT)
RP Leith, P (corresponding author), Univ Tasmania, Tasmanian Inst Agr, Private Bag 98, Hobart, Tas 7000, Australia.
EM peat.leith@utas.edu.au
RI Warman, Russell/AAH-7126-2020; Leith, Peat/ABB-2829-2021; Harwood,
   Andrew/C-2388-2014; Bosomworth, Karyn/A-6435-2016
OI Warman, Russell/0000-0002-9802-8604; Bosomworth,
   Karyn/0000-0001-9907-0858
CR [Anonymous], ADAPTATION CLIMATE C
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   CALLON M, 1986, SOCIOL RE MONOGR, P196, DOI 10.1111/j.1467-954X.1984.tb00113.x
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113
   Commonwealth of Australia, 2012, AUSTR GOV DEP CLIM C
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   FELDMAN MS, 1981, ADMIN SCI QUART, V26, P171, DOI 10.2307/2392467
   Ferguson I, 2014, INT FOREST REV, V16, P160, DOI 10.1505/146554814811724739
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   GIERYN TF, 1983, AM SOCIOL REV, V48, P781, DOI 10.2307/2095325
   Guston D.H., 2000, Between Politics and Science: Assuring the Integrity and Productivity of Reseach
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002
   Hajer M.A., 1996, The politics of environmental discourse
   Hoppe R., 2010, From Climate Change to Social Change: Perpectives on Science-Policy Interactions, P109
   Hoppe R, 2013, WIRES CLIM CHANGE, V4, P283, DOI 10.1002/wcc.225
   Jasanoff S., 2004, STATES KNOWLEDGE KNO
   JASANOFF SS, 1987, SOC STUD SCI, V17, P195, DOI 10.1177/030631287017002001
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Leach M., 2010, ENV SOCIAL JUSTICE
   Leith P., 2017, Enhancing science impact: Bridging research, policy and practice for sustainability
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Li TM., 2007, THE WILL TO IMPROVE
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   McNie EC, 2016, RES POLICY, V45, P884, DOI 10.1016/j.respol.2016.01.004
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Nowotny H., 2001, RE THINKING SCI KNOW
   Pielke J.R.A., 2007, HONEST BROKEN MAKING
   Sarewitz D., 1996, Frontiers Of Illusion: Science, Technology, and the Politics of Progress
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Scott James C, 2020, SEEING STATE CERTAIN
   Star SL, 2010, SCI TECHNOL HUM VAL, V35, P601, DOI 10.1177/0162243910377624
   Wallis PJ, 2017, GEOFORUM, V84, P42, DOI 10.1016/j.geoforum.2017.06.002
   Wynne B, 2014, PUBLIC UNDERST SCI, V23, P60, DOI 10.1177/0963662513505397
NR 37
TC 17
Z9 18
U1 0
U2 10
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 APR
PY 2018
VL 82
BP 117
EP 125
DI 10.1016/j.envsci.2018.01.015
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GB9LQ
UT WOS:000429395700013
DA 2025-01-10
ER

PT J
AU Nedergaard, M
   Baron, N
AF Nedergaard, Mikkel
   Baron, Nina
TI Water under the bridge: how place meanings shape second homeowners'
   engagement in flood risk management in southern Denmark
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change adaptation; Flood risk management; Citizen engagement;
   Place meanings; Narratives; Second homeowners
ID SOCIAL-PSYCHOLOGY; HOME OWNERS; ATTACHMENT; SENSE; PERCEPTIONS;
   RESIDENTS; LESSONS; POWER
AB In Europe, climate change is expected to increase the frequency of extreme precipitation events. Consequently, low-lying areas in southern Denmark may experience increased flooding. In this predominantly rural landscape, large areas of wetland were initially reclaimed for agricultural purposes, before being developed into recreational areas for second homes, many of which are now vulnerable to flooding. Local and national policy on flood risk management and climate change adaptation is based on the assumption that effective adaptation actions require citizen engagement. However, local authorities' efforts to motivate homeowners to engage in collective actions have had mixed results. We adopt a case study approach, and explore how second homeowners' place meanings shape, and are shaped by, how they experienced a climate-related hazard, and how this, in turn, informs their motivation to engage in collective flood risk management efforts. Specifically, in-depth narrative interviews were conducted with second homeowners who experienced an extreme weather event in 2011, which led to severe flooding. The findings show that place meanings can vary within the same stakeholder group, in this case, second homeowners. However, both second homeowners whose place meanings can be likened to that of a "temporary visitor", and those whose place meanings are more akin to that of the "permanent resident" are able to mobilise their place meanings to contest engagement in local authorities' flood risk reduction initiatives.
C1 [Nedergaard, Mikkel; Baron, Nina] Univ Coll Copenhagen, Fac Social Educ Social Work & Adm, Dept Management & Adm, Emergency & Risk Management, Sigurdsgade 26, DK-2200 Copenhagen, Denmark.
C3 University College Copenhagen
RP Nedergaard, M (corresponding author), Univ Coll Copenhagen, Fac Social Educ Social Work & Adm, Dept Management & Adm, Emergency & Risk Management, Sigurdsgade 26, DK-2200 Copenhagen, Denmark.
EM mine@kp.dk
OI Baron, Nina/0000-0002-1375-9740
FU NordForsk; Climate Change Resilience in Small Communities in the Nordic
   Countries (CliCNord) [97229]; NordForsk Nordic Societal Security
   Programme
FX The research reported in this paper is a part of the Climate Change
   Resilience in Small Communities in the Nordic Countries (CliCNord)
   research project that has received funding from the NordForsk Nordic
   Societal Security Programme under Grant Agreement No. 97229. The authors
   wish to thank the second homeowners and local authorities who gave their
   time and shared their thoughts with us during the research.
CR Baron N, 2020, NAT HAZARDS, V103, P967, DOI 10.1007/s11069-020-04021-9
   Baron N, 2015, REG ENVIRON CHANGE, V15, P1145, DOI 10.1007/s10113-014-0701-1
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   Begg C, 2018, LOCAL ENVIRON, V23, P383, DOI 10.1080/13549839.2017.1422119
   Beredskabsstyrelsen, 2017, Nationalt Risikobillede
   Bonaiuto M, 2016, J ENVIRON PSYCHOL, V48, P33, DOI 10.1016/j.jenvp.2016.07.007
   Brehm JM, 2013, SOC NATUR RESOUR, V26, P522, DOI 10.1080/08941920.2012.715726
   Chapin FS, 2015, ENVIRON SCI POLICY, V53, P38, DOI 10.1016/j.envsci.2015.04.012
   Clandinin J, 2020, WORLD LIBR EDUC, P228
   Coffey A., 1996, MAKING SENSE QUALITA, P54
   De Dominicis S, 2015, J ENVIRON PSYCHOL, V43, P66, DOI 10.1016/j.jenvp.2015.05.010
   de Wit CW, 2013, J CULT GEOGR, V30, P120, DOI 10.1080/08873631.2012.745979
   Devine-Wright P, 2009, J COMMUNITY APPL SOC, V19, P426, DOI 10.1002/casp.1004
   Farstad M, 2013, J RURAL STUD, V30, P41, DOI 10.1016/j.jrurstud.2012.11.007
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Guldborgsund Kommune, 2014, Klimatilpasningsplan 2013-2025
   Guldborgsund Kommune, 2011, Notat: Afvanding Guldborgsund kommune. Guldborgsund Kommune
   Hall J, 2014, HYDROL EARTH SYST SC, V18, P2735, DOI 10.5194/hess-18-2735-2014
   Hjalager A., 2022, Sommerhuse og verdensmal  beskyttelse, benyttelse og planlagning
   Johansen K, 2019, ENERG POLICY, V132, P691, DOI 10.1016/j.enpol.2019.04.027
   Knudsen LV, 2022, De forste sommerhuse
   Krabbesmark LM., 2012, Vand & Jord, V19, P53
   Krausing J, 2017, Robusthed i kommunale klimatilpasningsplaner
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Labov W., 1967, ESSAYS VERBAL VISUAL, P12
   Lewicka M, 2011, J ENVIRON PSYCHOL, V31, P207, DOI 10.1016/j.jenvp.2010.10.001
   Manzo L, 2020, The role of qualitative approaches to place attachment research, P111, DOI [10.4324/9780429274442-7, DOI 10.4324/9780429274442-7]
   Masterson V, 2017, SOC NATUR RESOUR, V30, P1442, DOI 10.1080/08941920.2017.1347975
   Masterson VA, 2017, ECOL SOC, V22, DOI 10.5751/ES-08872-220149
   Matte D, 2022, On the potentials and limitations of attributing a small-scale climate event, DOI [10.1029/2022GL099481, DOI 10.1029/2022GL099481]
   Nielsen LR, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102910
   Pitkänen K, 2014, SOCIOL RURALIS, V54, P143, DOI 10.1111/soru.12023
   Porter JJ, 2018, ENVIRON SCI POLICY, V89, P100, DOI 10.1016/j.envsci.2018.07.004
   Renn O, 2011, AMBIO, V40, P231, DOI 10.1007/s13280-010-0134-0
   Seebauer S, 2020, RISK ANAL, V40, P1967, DOI 10.1111/risa.13531
   Snel KAW, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1451
   Sorensen C, 2018, J COASTAL RES, P1521, DOI 10.2112/SI85-305.1
   Stedman RC, 2002, ENVIRON BEHAV, V34, P561, DOI 10.1177/0013916502034005001
   Stedman RC, 2006, AM BEHAV SCI, V50, P187, DOI 10.1177/0002764206290633
   Stedman RC, 2016, SUSTAIN SCI, V11, P891, DOI 10.1007/s11625-016-0388-y
   Thaler T, 2018, Bottom-up citizen initiatives in natural hazard management: why they appear and what they can do?, DOI [10.1016/j.envsci.2018.12.012, DOI 10.1016/J.ENVSCI.2018.12.012]
   Thaler T, 2019, SCI TOTAL ENVIRON, V650, P1073, DOI 10.1016/j.scitotenv.2018.08.306
   Thaler T, 2016, ENVIRON SCI POLICY, V55, P292, DOI 10.1016/j.envsci.2015.04.007
   Thorea HD, 1854, Walden - and on the duty of civil disobedience
   Tuulentie S, 2020, SOCIOL RURALIS, V60, P357, DOI 10.1111/soru.12288
   Van Patten SR, 2008, LEISURE SCI, V30, P448, DOI 10.1080/01490400802353190
   Weick KE, 2005, ORGAN SCI, V16, P409, DOI 10.1287/orsc.1050.0133
NR 47
TC 1
Z9 1
U1 1
U2 3
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2023
VL 23
IS 4
AR 162
DI 10.1007/s10113-023-02156-6
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Y8KQ3
UT WOS:001107697800001
OA hybrid
DA 2025-01-10
ER

PT J
AU St-Laurent, GP
   Oakes, LE
   Cross, M
   Hagerman, S
AF St-Laurent, Guillaume Peterson
   Oakes, Lauren E.
   Cross, Molly
   Hagerman, Shannon
TI R-R-T (resistance-resilience-transformation) typology reveals
   differential conservation approaches across ecosystems and time
SO COMMUNICATIONS BIOLOGY
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; BIODIVERSITY CONSERVATION; KNOWLEDGE
   GOVERNANCE; MANAGEMENT; FRAMEWORK; SUPPORT; FUTURE; FACE
AB Conservation practices during the first decade of the millennium predominantly focused on resisting changes and maintaining historical or current conditions, but ever-increasing impacts from climate change have highlighted the need for transformative action. However, little empirical evidence exists on what kinds of conservation actions aimed specifically at climate change adaptation are being implemented in practice, let alone how transformative these actions are. In response, we propose and trial a novel typology-the R-R-T scale, which improves on existing concepts of Resistance, Resilience, and Transformation-that enables the practical application of contested terms and the empirical assessment of whether and to what extent a shift toward transformative action is occurring. When applying the R-R-T scale to a case study of 104 adaptation projects funded since 2011, we find a trend towards transformation that varies across ecosystems. Our results reveal that perceptions about the acceptance of novel interventions in principle are beginning to be expressed in practice. Guillaume Peterson St-Laurent et al. introduce the R-R-T (Resistance-Resilience-Transformation) conservation typology that enables the empirical assessment of whether and to what extent a management shift toward transformative action is occurring. They apply the R-R-T scale to 104 adaptation projects and find a shift towards transformation over time and differential responses across ecosystems, with more transformative actions applied in forested ecosystems.
C1 [St-Laurent, Guillaume Peterson; Hagerman, Shannon] Univ British Columbia, Fac Forestry, 2900 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
   [St-Laurent, Guillaume Peterson; Oakes, Lauren E.; Cross, Molly; Hagerman, Shannon] Int Union Conservat Nat, Climate Change Specialist Grp, Species Survival Commiss, Rue Mauverney 28, CH-1196 Gland, Switzerland.
   [Oakes, Lauren E.; Cross, Molly] Wildlife Conservat Soc, 1050 East Main St,Suite 2, Bozeman, MT 59715 USA.
   [Oakes, Lauren E.] Stanford Univ, Dept Earth Syst Sci, 473 Via Ortega, Stanford, CA 59715 USA.
C3 University of British Columbia; Wildlife Conservation Society; Stanford
   University
RP St-Laurent, GP (corresponding author), Univ British Columbia, Fac Forestry, 2900 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.; St-Laurent, GP; Oakes, LE (corresponding author), Int Union Conservat Nat, Climate Change Specialist Grp, Species Survival Commiss, Rue Mauverney 28, CH-1196 Gland, Switzerland.; Oakes, LE (corresponding author), Wildlife Conservat Soc, 1050 East Main St,Suite 2, Bozeman, MT 59715 USA.; Oakes, LE (corresponding author), Stanford Univ, Dept Earth Syst Sci, 473 Via Ortega, Stanford, CA 59715 USA.
EM Peterson.guil@gmail.com; loakes@wcs.org
RI St-Laurent, Guillaume/AAU-3089-2020
OI Peterson St-Laurent, Guillaume/0000-0002-1329-0954
FU Doris Duke Charitable Foundation
FX This research was financially supported by the Doris Duke Charitable
   Foundation. The Climate Adaptation Fund is funded by a grant to the
   Wildlife Conservation Society from the Doris Duke Charitable Foundation.
   The funder was not directly involved in conceptualization, design, data
   collection, analysis, decision to publish, nor preparation of the
   manuscript. We are very grateful to Henry Locke for his valuable support
   during data collection and analysis. The IUCN Species Survival
   Commission selected this research for inclusion in its Climate Change
   Specialist Group.
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
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], 2016, TRUSTING JUDGEMENTS
   [Anonymous], 2019, ENVIRON DEV
   [Anonymous], 2019, CONSERV SCI PRACT, DOI DOI 10.1111/csp2.27
   Beechie T, 2013, RIVER RES APPL, V29, P939, DOI 10.1002/rra.2590
   Bertram M, 2018, 46 UNFCCCSBSTA GIZ I, P1
   Clifford KR, 2020, ENVIRON MANAGE, V66, P614, DOI 10.1007/s00267-020-01336-y
   Colloff MJ, 2017, CONSERV BIOL, V31, P1008, DOI 10.1111/cobi.12912
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Corlett RT, 2016, TRENDS ECOL EVOL, V31, P453, DOI 10.1016/j.tree.2016.02.017
   Cross M, 2018, EMBRACING CHANGE ADA
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Dilling L, 2019, NAT CLIM CHANGE, V9, P572, DOI 10.1038/s41558-019-0539-0
   Dittbrenner BJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192538
   Diversity S.o.t.C.o.B, 2020, GLOB BIOD OUTL
   Dudney J, 2018, TRENDS ECOL EVOL, V33, P863, DOI 10.1016/j.tree.2018.08.012
   Dumroese RK, 2015, NEW FOREST, V46, P947, DOI 10.1007/s11056-015-9504-6
   Fisichelli NA, 2016, ENVIRON MANAGE, V57, P753, DOI 10.1007/s00267-015-0650-6
   Gibson PP, 2014, AQUAT CONSERV, V24, P391, DOI 10.1002/aqc.2432
   Global Commission on Adaptation, 2019, AD NOW GLOB CALL LEA
   Hagerman S., 2010, Conservation and Society, V8, P298, DOI [DOI 10.4103/0972-4923.78146, 10.4103/0972-4923.78146]
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Hagerman SM, 2018, FRONT ECOL ENVIRON, V16, P579, DOI 10.1002/fee.1974
   Hagerman SM, 2014, ECOL APPL, V24, P548, DOI 10.1890/13-0400.1
   Hansen L.J., 2011, CLIMATE SAVVY ADAPTI
   Heller NE, 2014, CONSERV BIOL, V28, P696, DOI 10.1111/cobi.12269
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hodgson D, 2015, TRENDS ECOL EVOL, V30, P503, DOI 10.1016/j.tree.2015.06.010
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   IPCC, 2018, Global Warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of 1.5 C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways
   JONES CG, 1994, OIKOS, V69, P373, DOI 10.2307/3545850
   Kareiva P, 2016, GLOB POLICY, V7, P107, DOI 10.1111/1758-5899.12330
   Keeley ATH, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aacb85
   Krippendorff K, 2019, CONTENT ANAL INTRO I, VFourth, P451
   Martin TG, 2016, NAT CLIM CHANGE, V6, P122, DOI 10.1038/nclimate2918
   Matz G, 2016, OPT EXPRESS, V24, DOI 10.1364/OE.24.010987
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Morecroft MD, 2019, SCIENCE, V366, P1329, DOI 10.1126/science.aaw9256
   Morgan MG, 2014, P NATL ACAD SCI USA, V111, P7176, DOI 10.1073/pnas.1319946111
   Moser S., 2013, Custom Sleeve for Coffee and Tea Cups, P1
   Mueller JM, 2008, CONSERV BIOL, V22, P562, DOI 10.1111/j.1523-1739.2008.00952.x
   Múnera C, 2019, ENVIRON SCI POLICY, V94, P39, DOI 10.1016/j.envsci.2019.01.004
   Oliver TH, 2012, J APPL ECOL, V49, P1247, DOI 10.1111/1365-2664.12003
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Peterson St-Laurent G., 2020, CROSS JURISDICTIONAL
   Phelps MP, 2020, CONSERV BIOL, V34, P54, DOI 10.1111/cobi.13292
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Prober SM, 2012, CLIMATIC CHANGE, V110, P227, DOI 10.1007/s10584-011-0092-y
   Reside AE, 2018, BIODIVERS CONSERV, V27, P1, DOI 10.1007/s10531-017-1442-5
   Román-Palacios C, 2020, P NATL ACAD SCI USA, V117, P4211, DOI 10.1073/pnas.1913007117
   RStudio Team, 2015, RStudio: Integrated development for R Computer software, DOI DOI 10.1007/978-81-322-2340-5
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   St-Laurent GP, 2018, CLIMATIC CHANGE, V151, P573, DOI 10.1007/s10584-018-2310-3
   Ste-Marie C, 2011, FOREST CHRON, V87, P724, DOI 10.5558/tfc2011-089
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Stein BA., 2013, SUCCESSFUL ADAPTATIO, P50
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Thurman LL, 2020, FRONT ECOL ENVIRON, V18, P520, DOI 10.1002/fee.2253
   Tompkins EL, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.545
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Watson JEM, 2018, NAT ECOL EVOL, V2, P599, DOI 10.1038/s41559-018-0490-x
   Watson JEM, 2012, ADV CLIM CHANG RES, V3, P1, DOI 10.3724/SP.J.1248.2012.00001
   Wyborn C, 2016, BIODIVERS CONSERV, V25, P1401, DOI 10.1007/s10531-016-1130-x
NR 67
TC 51
Z9 52
U1 0
U2 8
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2399-3642
J9 COMMUN BIOL
JI Commun. Biol.
PD JAN 14
PY 2021
VL 4
IS 1
AR 39
DI 10.1038/s42003-020-01556-2
PG 9
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA PW4XM
UT WOS:000610673800001
PM 33446879
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Fekete, A
   Rhyner, J
AF Fekete, Alexander
   Rhyner, Jakob
TI Sustainable Digital Transformation of Disaster Risk-Integrating New
   Types of Digital Social Vulnerability and Interdependencies with
   Critical Infrastructure
SO SUSTAINABILITY
LA English
DT Article
DE societal resilience; uncertainty; climate change adaptation; sustainable
   development; transhumanism; brain wearables; disaster risk management;
   artificial intelligence; contingency planning; cybersecurity
ID NATURAL HAZARDS; TRANSHUMANISM; RESILIENCE; FRAMEWORK; TECHNOLOGY;
   FUTURE; SELF
AB This article explores the relationship between digital transformation and disaster risk. Vulnerability studies aim at differentiating impacts and losses by using fine-grained information from demographic, social, and personal characteristics of humans. With ongoing digital development, these characteristics will transform and result in new traits, which need to be identified and integrated. Digital transformations will produce new social groups, partly human, semi-human, or non-human-some of which already exist, and some which can be foreseen by extrapolating from recent developments in the field of brain wearables, robotics, and software engineering. Though involved in the process of digital transformation, many researchers and practitioners in the field of Disaster Risk Reduction or Climate Change Adaptation are not yet aware of the repercussions for disaster and vulnerability assessments. Emerging vulnerabilities are due to a growing dependency on digital services and tools in the case of a severe emergency or crisis. This article depicts the different implications for future theoretical frameworks when identifying novel semi-human groups and their vulnerabilities to disaster risks. Findings include assumed changes within common indicators of social vulnerability, new indicators, a typology of humans, and human interrelations with digital extensions and two different perspectives on these groups and their dependencies with critical infrastructure.
C1 [Fekete, Alexander] TH Koln Univ Appl Sci, Inst Rescue Engn & Civil Protect, D-50679 Cologne, Germany.
   [Rhyner, Jakob] Univ Bonn, ICB, Bonn Alliance Sustainabil Res, D-53113 Bonn, Germany.
C3 University of Bonn
RP Fekete, A (corresponding author), TH Koln Univ Appl Sci, Inst Rescue Engn & Civil Protect, D-50679 Cologne, Germany.
EM alexander.fekete@th-koeln.de; rhyner@uni-bonn.de
RI Rhyner, Jakob/AAH-8787-2021; Fekete, Alexander/C-4071-2017
OI Fekete, Alexander/0000-0002-8029-6774
FU German Federal Ministry for Education and Research (BMBF)
FX For Jakob Rhyner, support through the project "digitainable," funded by
   the German Federal Ministry for Education and Research (BMBF), is
   gratefully acknowledged.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ajiboye AB, 2017, LANCET, V389, P1821, DOI 10.1016/S0140-6736(17)30601-3
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Alves-Foss J., 1995, Operating Systems Review, V29, P3, DOI 10.1145/206826.206829
   [Anonymous], 2005, Risk Management and Critical Infrastructure Protection: Assesing, Integrating and Managing Threats, Vulnerabilities and Consequences
   [Anonymous], 2008, OFFICIAL J EUROPEA L, VL345, P75
   [Anonymous], 2005, SINGULARITY IS NEAR
   [Anonymous], 2018, 2018 5 INT C INF COM
   Asghar S., 2006, J HUMANITARIAN ASSIS, V1360, P1
   Asuroglu T, 2018, BIOCYBERN BIOMED ENG, V38, P760, DOI 10.1016/j.bbe.2018.06.002
   Aziz Nor Azlina Ab, 2011, Proceedings of the 2011 13th International Conference on Advanced Communication Technology (ICACT). Smart Service Innovation through Mobile Interactivity, P202
   Bankoff G, 2001, DISASTERS, V25, P19, DOI 10.1111/1467-7717.00159
   Barfield W, 2017, PHILOSOPHIES, V2, DOI 10.3390/philosophies2010004
   Beasley RA, 2012, J ROBOT, V2012, DOI 10.1155/2012/401613
   Benedikter R, 2010, FUTURES, V42, P1102, DOI 10.1016/j.futures.2010.08.010
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Boin A., 2007, Journal of Contingencies and Crisis Management, V15, P50, DOI [10.1111/j.1468-5973.2007.00504.x, DOI 10.1111/J.1468-5973.2007.00504.X]
   Bostrom N, 2003, J VALUE INQUIRY, V37, P493, DOI 10.1023/B:INQU.0000019037.67783.d5
   Bouchon S., 2006, VULNERABILITY INTERD
   Broadbent E, 2009, INT J SOC ROBOT, V1, P319, DOI 10.1007/s12369-009-0030-6
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Byrom B, 2018, CLIN PHARMACOL THER, V104, P59, DOI 10.1002/cpt.1077
   CANNON T, 1993, NATURAL DISASTERS: PROTECTING VULNERABLE COMMUNITIES, P92
   Cauvery N.K., 2012, INT J ADV ENG TECHNO, V3, P739
   Collier Stephen., 2008, The Politics of Securing the Homeland: Critical Infrastructure, Risk and Securitisation
   Cooper C., 2011, ELECT J, V24, P47, DOI DOI 10.1016/J.TEJ.2011.04.005
   Croope SV, 2011, TRANSPORT RES REC, P3, DOI 10.3141/2234-01
   CUNY FC, 1977, DISASTERS, V1, P125, DOI 10.1111/j.1467-7717.1977.tb00020.x
   Cuny Fredrick., 1983, DISASTERS DEV
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Sherbinin A., 2014, Mapping the unmeasurable? Spatial analysis of vulnerability to climate change and climate variability [University of Twente], DOI [DOI 10.3990/1.9789036538091, 10.3990/1.9789036538091]
   Dominici P, 2018, EUR J FUTURES RES, V6, DOI 10.1007/s40309-017-0126-4
   Donner W, 2008, SOC FORCES, V87, P1089
   European Commission, 2013, CYB SMART GRIDS OUTC
   Fekete A, 2011, INT J DISAST RISK SC, V2, P15, DOI 10.1007/s13753-011-0002-y
   Fernández-Caramés TM, 2018, ELECTRONICS-SWITZ, V7, DOI 10.3390/electronics7120405
   Ferrando F, 2019, REV FILOS AURORA, V31, P958, DOI 10.7213/1980-5934.31.054.TD01
   Fischer HW., 1995, DISASTER PREVENTION, V4, P30, DOI 10.1108/09653569510093414
   Folke Carl., 2003, Individual and Structural Determinants of Environmental Practice, P226, DOI [10.4324/9781315252377-9, DOI 10.4324/9781315252377-9]
   Giannopoulos G., 2013, JRC (Joint Research Center)-Scientific and Policy Report
   Gilbert DT, 2002, ORGAN BEHAV HUM DEC, V88, P430, DOI 10.1006/obhd.2001.2982
   Gilbert F, 2019, BRAIN-COMPUT INTERFA, V6, P49, DOI 10.1080/2326263X.2019.1655837
   Golan Maureen S., 2020, Environment Systems & Decisions, V40, P222, DOI 10.1007/s10669-020-09777-w
   Goss K.C., 1996, GUIDE ALL HAZARD EME
   Grunwald A., 2010, TECHNIKFOLGENABSCHAT
   Gulnerman AG, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040245
   Haworth B, 2015, GEOGR COMPASS, V9, P237, DOI 10.1111/gec3.12213
   Heath SE, 2001, AM J EPIDEMIOL, V153, P659, DOI 10.1093/aje/153.7.659
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Hewitt K., 1983, INTERPRETATIONS CALA, P304
   HUXLEY J, 1968, J HUMANIST PSYCHOL, V8, P73, DOI 10.1177/002216786800800107
   Kerle N, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9010014
   King D, 2001, NAT HAZARDS, V24, P147, DOI 10.1023/A:1011859507188
   Koh D, 2020, OCCUP MED-OXFORD, V70, P3, DOI 10.1093/occmed/kqaa036
   Labaka L, 2016, TECHNOL FORECAST SOC, V103, P21, DOI 10.1016/j.techfore.2015.11.005
   Luhmann Niklas., 1993, Risk: A Sociological Theory, R. Barnet
   Magid Evgeni, 2020, Proceedings of 14th International Conference on Electromechanics and Robotics Zavalishins Readings. ER(ZR) 2019. Smart Innovation, Systems and Technologies (SIST 154), P15, DOI 10.1007/978-981-13-9267-2_2
   Matsuno F, 2004, IEEE ROBIO 2004: Proceedings of the IEEE International Conference on Robotics and Biomimetics, P12
   McNamee MJ, 2006, J MED ETHICS, V32, P513, DOI 10.1136/jme.2005.013789
   Mirbabaie M, 2020, J INF TECHNOL-UK, V35, P195, DOI 10.1177/0268396220929258
   Moore M., 2013, TRANSHUMANIST READER
   Müller SM, 2020, BIOLOGY-BASEL, V9, DOI 10.3390/biology9090271
   Murdock HJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103470
   NOTA-Rathenau-Instituut, 1994, STROOML KWETSB SAM G, P264
   OECD, 2011, FUT PROSP IND BIOT, P137
   Omidian H, 2018, 2018 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT 2018), P293, DOI 10.1109/FPT.2018.00056
   Onencan AM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135461
   Pakpour A.H., 2020, J Concur Disord, V2, P58, DOI DOI 10.54127/WCIC8036
   Papadopoulos T, 2017, J CLEAN PROD, V142, P1108, DOI 10.1016/j.jclepro.2016.03.059
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2001, Environmental Hazards, V3, P49
   Petrie KJ, 2002, BRIT MED J, V324, P690, DOI 10.1136/bmj.324.7339.690
   Picard RW, 1997, FIRST INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS - DIGEST OF PAPERS, P90, DOI 10.1109/ISWC.1997.629924
   Pisarchik AN, 2019, J MED INTERNET RES, V21, DOI 10.2196/16356
   Prezelj N, 2019, J NEUROSURG, V130, P763, DOI 10.3171/2017.12.JNS172258
   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]
   Radanliev P., 2019, CYBER SECURITY FRAME, P2019030111, DOI 10.20944/preprints201903.0111.v1
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Robert B., 2004, International Journal of Critical Infrastructures, V1, P86, DOI 10.1504/IJCIS.2004.003798
   Robinson L., 2020, First Monday, V25, DOI DOI 10.5210/FM.V25I7.10845
   Roth F, 2019, AUST J EMERG MANAG, V34, P53
   Shahid A.R., 2016, THESIS
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Taylor A.J, 1978, ASSESSMENT VICTIM NE
   The Broadband Commission, 2018, STAT BROADB BROADB C, P90
   Tobin G., 1999, ENVIRON HAZARDS-UK, V1, P13
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Twigg J, 2017, ENVIRON URBAN, V29, P443, DOI 10.1177/0956247817721413
   UN/ISDR, 2006, DEV EARL WARN SYST C
   United Nations, 2015, No.A/RES/70/1.
   United Nations, 2015, SEND FRAM DIS RIS RE
   US Government, 1996, The President's Commission on Critical Infrastructure Protection (PCCIP), executive order 13010
   van Hoek R, 2020, INT J OPER PROD MAN, V40, P341, DOI 10.1108/IJOPM-03-2020-0165
   Waldrop M. M., 1992, Complexity: The Emerging Science at the Edge of Order and Chaos.
   Werner E.E., 2001, Journeys from childhood to midlife: Risk, resilience, and recovery
   Werner EE, 1997, ACTA PAEDIATR, V86, P103
   Yu MZ, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8050165
   Yusta JM, 2011, ENERG POLICY, V39, P6100, DOI 10.1016/j.enpol.2011.07.010
   Zhao SY, 2005, SYMB INTERACT, V28, P387, DOI 10.1525/si.2005.28.3.387
   Ziervogel G., VULNERABILITY INDICA
NR 103
TC 14
Z9 15
U1 5
U2 56
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2020
VL 12
IS 22
AR 9324
DI 10.3390/su12229324
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 OY9KH
UT WOS:000594557100001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Pauw, P
AF Pauw, Pieter
TI The role of perception in subsistence farmer adaptation in Africa
   Enriching the climate finance debate
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Perception; Drought; Ghana; Botswana; Climate
   finance
ID DROUGHT; RISK; VARIABILITY; RESPONSES; IMPACTS; IF
AB Purpose - Africa is a focus area for international climate change adaptation finance. Subsistence farmers are crucial for Africa's adaption. But it is unclear how those that qualify to receive adaptation finance actually perceive climate change, even though perceptions are reflected in adaptive behaviour. This paper aims to show how perceptions of climate-related hazards drive adaptation and provide recommendations for the climate change finance community to support subsistence farmer adaptation.
   Design/methodology/approach - A total of 227 households in rural Ghana and Botswana were surveyed and their answers statistically analysed.
   Findings - The respondents' perception of climate-related hazards is analogous to existing environmental degradation. In the complex environment in which farmers operate, high vulnerability and climate dependency do not necessarily result in autonomous adaptation. Experience, means and perceived successfulness are more important factors, but these hardly relate to individual adaptive measures.
   Practical implications - Recommendations for adaptation finance institutions: build on existing development plans and policies on climate-related environmental problems; adaptation is more than a collection of adaptive measures, so financing adaptation is more than financing adaptive measures; extremely vulnerable people do not necessarily adapt autonomously, indicating that ex post adaptation remains important too.
   Originality/value - This study shows that highly vulnerable subsistence farmers do not automatically adapt and that adaptation is more than implementing adaptive measures. The outcomes are linked to the adaptation finance institutions.
C1 German Dev Inst DIE GDI, Deutsch Inst Entwicklungspolit, Bonn, Germany.
C3 Deutsches Institut Entwicklungspolitik (DIE)
RP Pauw, P (corresponding author), German Dev Inst DIE GDI, Deutsch Inst Entwicklungspolit, Bonn, Germany.
EM pieter.pauw@die-gdi.de
OI Pauw, Pieter/0000-0002-9323-2577
CR Adedoyin J. A., 2002, MSAS C 2002
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Agyemang-Bonsu W., 2008, Ghana Climate Change Impacts, Vulnerability, and Adaptation Assessments; Under The Netherlands Climate Assistance Programme (NCAP)
   [Anonymous], 2000 POP HOUS CENS A
   [Anonymous], 2011, Improving the effectiveness of climate finance: Key lessons
   [Anonymous], 2011, FAOSTAT Online Statistical Service
   [Anonymous], 2009, COP ACC
   Bird DK, 2009, NAT HAZARD EARTH SYS, V9, P1307, DOI 10.5194/nhess-9-1307-2009
   Bogaert L., 2009, THESIS VU U
   Boko M., 2009, CLIMATE CHANGE 2007, P433
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   [CSIR Environmentek], 2003, 2003026 CSIR ENCPC
   Denton F, 2010, CLIM POLICY, V10, P655, DOI 10.3763/cpol.2010.0149
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dolan A. H., 2001, 6 U GUELPH DEP GEOGR
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Government of Botswana, 2011, ISPAAD PROGR
   Government of Botswana, 2002, BOTSW NAT DEV PLAN 1
   Government of Botswana, 2000, BOTSW NAT ATL
   Government of Botswana and United Nations, 2010, MILL DEV GOALS STAT
   Griebenow G., 2009, 119 WORLD BANK ENV D
   Grosh M., 2000, 20731 WORLD BANK
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Kreibich H, 2011, INT J CLIM CHANG STR, V3, P189, DOI 10.1108/17568691111129011
   Kurukulasuriya P., 2003, Climate change and agriculture: A review of impacts and adaptations
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Magadza JB., 2003, CLIMATE CHANGE ADAPT, P261
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Mertz O, 2010, ECOL SOC, V15
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   MoFA, 2006, NAT IRR POL STRAT RE
   MOFA, 2008, AGR SUST LAND MAN ST
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Nhemachena C., 2007, INT FOOD POLICY RES
   Nhemachena C., 2008, LOCAL ADAPTATION CLI, P1
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Pauw W.P., 2008, R0808 IVM
   Perret C., 2008, ATLAS REGIONAL INTEG
   Plapp T, 2006, PROC MONOGR ENG WATE, P101
   Roncoli C, 2001, CLIM RES, V19, P119, DOI 10.3354/cr019119
   Rozema J., 2009, THESIS VU U
   Schalatek L., 2011, ECOLOGY PAPER SERIES, V13
   Schulze RE, 2000, AMBIO, V29, P12, DOI 10.1639/0044-7447(2000)029[0012:MHRTLU]2.0.CO;2
   Sjöberg L, 2000, QUAL QUANT, V34, P407, DOI 10.1023/A:1004838806793
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Slegers MFW, 2008, AMBIO, V37, P372, DOI 10.1579/07-A-385.1
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Smit B., 2003, CLIMATE CHANGE ADAPT, P9, DOI DOI 10.1142/97818609458160002
   Stigter CJ, 2005, CLIMATIC CHANGE, V70, P255, DOI 10.1007/s10584-005-5949-5
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   UNECA, 2001, POP AGR ENV AFR SOM
   UNFCCC, 2010, FCCCCP20107ADD1 UN
   VALENTINE TR, 1993, AM J ECON SOCIOL, V52, P31, DOI 10.1111/j.1536-7150.1993.tb02738.x
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Westerhoff L, 2009, MITIG ADAPT STRAT GL, V14, P317, DOI 10.1007/s11027-008-9166-1
   Wright D., 1997, UNDERSTANDING STAT I, P228
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 66
TC 22
Z9 23
U1 2
U2 32
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 2013
VL 5
IS 3
BP 267
EP 284
DI 10.1108/IJCCSM-03-2012-0014
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 185TC
UT WOS:000321992200003
DA 2025-01-10
ER

PT J
AU Chari, MM
   Zhou, L
   Hamandawana, H
AF Chari, Martin Munashe
   Zhou, Leocadia
   Hamandawana, Hamisai
TI Linking Satellite, Land Capability, and Socio-Economic Data for
   Local-Level Climate-Change-Adaptive Capacity Assessments and Decision
   Support
SO SUSTAINABILITY
LA English
DT Article
DE adaptation; adaptive capacity; climate change; geographical information
   systems (GIS); remote sensing; satellite; vulnerability
ID CHANGE ADAPTATION; TRACKING; DRYLANDS
AB Climate change is now one of the most formidable threats to the livelihoods of resource-poor communities in low-income developing countries world-wide. Addressing this challenge continues to be undermined by the conspicuous absence of actionable adaptation strategies that are potentially capable of enhancing our capacities to realize the Millennial Sustainable Development Goals that seek to securitize access to adequate food supplies for everybody. This paper attempts to address this limitation by providing an improvised geostatistical methodology that integrates multi-source data to map the adaptive capacities of vulnerable communities in a selected South African local municipality, whose livelihoods are largely dependent on rain-fed agriculture. The development of this methodology was based on the use scripts that were compiled in Python and used to test-try its usefulness through a case-study-based assessment of the climate-change-adaptive capacities of local communities in Raymond Mhlaba Local Municipality (RMLM), Eastern Cape Province, South Africa. A Bayesian maximum entropy framework-based technique was used to overcome the lack of missing soil moisture data, which we included because of its reliable usefulness as a surrogate indicator of climate-change-driven variations in this variable on the sustainability of rain-fed agriculture. Analysis of the results from a sampling universe of 124 communities revealed that 65 and 56 of them had high and medium adaptive capacities, respectively, with the remaining 3 having low adaptive capacities. This finding indicates that more than half of the communities in the municipality's communities have limited capabilities to cope with climate change's impacts on their livelihoods. Although our proposed methodology is premised on findings from a case-study-based investigation, it is still extremely useful because it demonstratively shows that there is tremendous scope for the scientific community to provide objectively informed insights that can be used to enhance the adaptive capacities of those in need of the badly needed but difficult-to-access information. Added to this is the fact that our proposed methodology is not only applicable for use under different environmental settings but also capable of allowing us to cost-effectively tap into the rich, wide-ranging, freely accessible datasets at our disposal. The aim of this submission is to show that although we have the information, we need to address these persevering challenges by exploring innovative approaches to translate the knowledge we have into actionable climate-change-adaptation strategies.
C1 [Chari, Martin Munashe; Zhou, Leocadia] Univ Ft Hare, Risk & Vulnerabil Sci Ctr RVSC, 1 King Williams Town Rd, ZA-5700 Alice, South Africa.
   [Hamandawana, Hamisai] Univ Free State, Afromontane Res Unit ARU, Kestell Rd, ZA-9866 Phuthaditjhaba, South Africa.
   [Hamandawana, Hamisai] Univ Free State, Risk & Vulnerabil Sci Ctr RVSC, Kestell Rd, ZA-9866 Phuthaditjhaba, South Africa.
C3 University of Fort Hare; University of the Free State; University of the
   Free State
RP Chari, MM (corresponding author), Univ Ft Hare, Risk & Vulnerabil Sci Ctr RVSC, 1 King Williams Town Rd, ZA-5700 Alice, South Africa.
EM mchari@ufh.ac.za
RI Hamandawana, Hamisai/AAV-5263-2021; Chari, Martin Munashe/HPG-4453-2023
OI Hamandawana, Hamisai/0000-0002-2181-7824; Chari, Martin
   Munashe/0000-0001-5454-8141
FU The authors thank the South Africa/Flanders Climate Adaptation Research
   and Training Partnership (SAF-ADAPT) for their research, which enabled
   us to write this paper. The following organizations are also thanked:
   South African National Space Agency (SANSA); South Africa/Flanders
   Climate Adaptation Research and Training Partnership (SAF-ADAPT); South
   African National Space Agency (SANSA); South Africa's Agriculture
   Research Council
FX The authors thank the South Africa/Flanders Climate Adaptation Research
   and Training Partnership (SAF-ADAPT) for their research, which enabled
   us to write this paper. The following organizations are also thanked:
   South African National Space Agency (SANSA) for SPOT satellite imagery,
   Statistics South Africa (StatsSA) for providing census demographic data,
   and South Africa's Agriculture Research Council (ARC-SA) for providing
   land capability data. We also thank the anonymous reviewers whose
   comments helped us to improve this paper.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   ADM, 2012, AM DISTR MUN 2012 20
   ADM, 2017, AM DISTR MUN 2017 20
   ADM Amathole District Municipality, 2010, AMATHOLE COMMUNITY N, P1
   [Anonymous], 2016, LOC GOV HDB
   Babakholov S., 2022, Environ. Chall, V7, P100502, DOI [10.1016/j.envc.2022.100502, DOI 10.1016/J.ENVC.2022.100502]
   Barber M, 2012, IEEE J-STARS, V5, P942, DOI 10.1109/JSTARS.2012.2191266
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Young J. L., 1982, Nitrogen in agricultural soils, P43
   Chari M.M., 2021, AFRICAN HDB CLIMATE, P1555, DOI [10.1007/978-3-030-45106-6_122, DOI 10.1007/978-3-030-45106-6_122]
   Chari Martin Munashe, 2022, Sustainable agriculture and food security, P159, DOI 10.1007/978-3-030-98617-9_9
   Darkoh M.B.K., 2003, HUMAN IMPACT ENV SUS, P253
   Darkoh MBK, 2003, J ARID ENVIRON, V54, P261, DOI 10.1006/jare.2002.1089
   Darkoh MBK, 1998, LAND DEGRAD DEV, V9, P1, DOI 10.1002/(SICI)1099-145X(199801/02)9:1<1::AID-LDR263>3.0.CO;2-8
   Dasgupta S, 2022, J ENVIRON MANAGE, V302, DOI 10.1016/j.jenvman.2021.113946
   De Kock R., 2016, DEVASTATING E CAPE D
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   eos, About us
   Etheridge J., 2019, E CAPE DECLARE DROUG
   Ford JD, 2015, NAT CLIM CHANGE, V5, P967, DOI 10.1038/nclimate2744
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Han LR, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233916
   International Federation of Red Cross (IFRC), S AFR DROUGHT
   Islam M S., 2022, Environ. Chall, V7, P100495, DOI DOI 10.1016/J.ENVC.2022.100495
   Jian XD, 1996, COMPUT GEOSCI, V22, P387, DOI 10.1016/0098-3004(95)00095-X
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Liu Y, 2017, IOP C SER EARTH ENV, V57, DOI 10.1088/1755-1315/57/1/012025
   Masuda YJ, 2019, GLOBAL ENVIRON CHANG, V56, P29, DOI 10.1016/j.gloenvcha.2019.03.005
   Mkuhlani S, 2020, AGROECOL SUST FOOD, V44, P7, DOI 10.1080/21683565.2018.1537325
   Mouazen AM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050978
   Mpandeli N.S., 2013, Peak Journal of Agricultural Sciences, V1, P54
   Naulleau A, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.607859
   Ncube M, 2016, JAMBA-J DISASTER RIS, V8, DOI 10.4102/jamba.v8i2.182
   Nkonkobe, 2012, LOC MUN INT DEV PLAN
   Orusa T, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15092348
   Ponkina E, 2021, LAND-BASEL, V10, DOI 10.3390/land10060579
   Rusere F, 2019, AFR J SCI TECHNOL IN, V11, P543, DOI 10.1080/20421338.2018.1550936
   Statistics South Africa Census, 2011, 030171 STAT S AFR CE
   Tiefenbacher A, 2021, CATENA, V202, DOI 10.1016/j.catena.2021.105297
   Tran P.T., 2021, Environ. Challeng, V7, DOI [10.1016/j.envc.2022.100460, DOI 10.1016/J.ENVC.2022.100460]
   Wang CM, 2020, INT J REMOTE SENS, V41, P7018, DOI 10.1080/01431161.2020.1752953
   Yue H, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-8174-9
   US
NR 43
TC 0
Z9 0
U1 1
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2023
VL 15
IS 17
AR 13120
DI 10.3390/su151713120
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Q9LG0
UT WOS:001060652800001
OA gold
DA 2025-01-10
ER

PT C
AU Kragt, ME
   Mugera, A
   Kolikow, S
AF Kragt, M. E.
   Mugera, A.
   Kolikow, S.
BE Piantadosi, J
   Anderssen, RS
   Boland, J
TI An interdisciplinary framework of limits and barriers to agricultural
   climate change adaptation
SO 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013)
LA English
DT Proceedings Paper
CT 20th International Congress on Modelling and Simulation (MODSIM)
CY DEC 01-06, 2013
CL Adelaide, AUSTRALIA
SP CSIRO, Univ S Australia, Ctr Ind & Appl Math, Australian Govt, Bur Meteorol, GOYDER Inst, Govt S Australia, Australian Math Soc, Australian Math Sci Inst, Simulat Australia, Australian & New Zealand Ind & Appl Math
DE Adaptation; conceptual modelling; expert opinion; epistemology;
   interdisciplinary research
ID ADAPTIVE CAPACITY; ADOPTION; VULNERABILITY; SYSTEMS
AB Agriculture is one of the key economic sectors that are most vulnerable to the impacts of climate change (Pearson et al., 2011). Changes in (variability of) temperature, rainfall and the concentration of CO2 in the atmosphere will directly affect crop and livestock productivity. Although farmers may be particularly knowledgeable in dealing with climate variability, the magnitude of climate change impacts on farming might turn out to go beyond anything that farmers have previously experienced (Stokes and Howden, 2010). This means that adaptive actions are likely to be important to protect farmers' livelihoods from the impacts of unavoidable climate change.
   There are, however, various limits (absolute obstacles) and barriers (mutable obstacles) to climate change adaptation. The importance of understanding these barriers and limits to support a sustainable and resilient agricultural sector is increasingly acknowledged by academic researchers and government agencies (e.g., Adger et al., 2009; European Commission 2007; Stokes and Howden, 2010; US EPA, 2012). With this increased focus on limits and barriers to adaptation, has come a heightened awareness that the complex, multifaceted nature of climate change requires interdisciplinary research to improve our understanding of obstacles. Unfortunately, the success of inter-disciplinary projects is often hindered by a lack of common definition of limits and barriers to climate change adaptation. In this study, we develop a conceptual model that integrates different understandings of limits and barriers to agricultural climate change adaptation.
   Following Pearson et al. (2011), we based our conceptual model on the academic and grey literature as well as expert interviews. The model shows how 'adaptive capacity' and 'willingness to adopt' determine whether a farmer may take adaptive action. Factors that can present limits or barriers to adaptation include biophysical, technological, and socio-economic factors, as well as farmers' personal characteristics and the socio-cultural context in which the farmer operates.
   Consultations with experts from various disciplinary backgrounds informed the model development process. Several epistemological challenges were encountered during the study, with disciplinary experts defining limits and barriers to adaptation in different ways. For example, agronomists, economists and biophysical scientists explained that social barriers to adaptive capacity were related to farmers' individual business management skills. Social scientists, on the other hand, used the term social barriers also to indicate that cultural beliefs and values affect a farmers' flexibility or ability to learn new practices. Other epistemological challenges arose when discussing economic limits and barriers. While most experts agreed that adaptation should be aimed at welfare maximisation, different disciplines used variable descriptions of 'welfare'. Many scientists understand economic welfare as a concept that is solely concerned with financial (directly tangible) costs and benefits. Economists in the project, however, incorporated tangible and intangible (non-marketed) values in their definition of economic welfare. It is recommended that future interdisciplinary research between biophysical, economic and social scientists carefully discusses and defines how terms considered in the study are understood across disciplines. The integrated framework developed in the present study provides a guiding tool for such future integrated projects, to help overcome the epistemological challenges that are typically encountered in multidisciplinary research.
C1 [Kragt, M. E.; Mugera, A.; Kolikow, S.] Univ Western Australia, Sch Agr & Resource Econ, Crawley, WA 6009, Australia.
   [Kragt, M. E.] Univ Western Australia, Ctr Environm Econ & Policy, Crawley, WA 6009, Australia.
   [Kragt, M. E.] CSIRO, Ecosyst Sci, Sustainable Agr Flagship, Wembly, WA 6014, Australia.
C3 University of Western Australia; University of Western Australia;
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Kragt, ME (corresponding author), Univ Western Australia, Sch Agr & Resource Econ, Crawley, WA 6009, Australia.
EM marit.kragt@uwa.edu.au
RI Mugera, Amin/E-6749-2012; Kragt, Marit Ellen/D-3185-2011
OI Kragt, Marit Ellen/0000-0001-6847-4817; Mugera, Amin/0000-0002-5199-2201
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2001, CLIMATE CHANGE 2001, DOI DOI 10.1256/004316502320517344
   [Anonymous], AD CLIM CHANG EUR OP
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Armitage D, 2005, ENVIRON MANAGE, V35, P703, DOI 10.1007/s00267-004-0076-z
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Crimp SJ, 2010, RANGELAND J, V32, P293, DOI 10.1071/RJ10039
   D'Emden FH, 2008, AUST J AGR RESOUR EC, V52, P169, DOI 10.1111/j.1467-8489.2008.00409.x
   FEDER G, 1993, TECHNOL FORECAST SOC, V43, P215, DOI 10.1016/0040-1625(93)90053-A
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Kalaugher E, 2013, ENVIRON MODELL SOFTW, V39, P176, DOI 10.1016/j.envsoft.2012.03.018
   Kragt ME, 2013, ENVIRON MODELL SOFTW, V39, P322, DOI 10.1016/j.envsoft.2012.06.015
   Le QB, 2012, ENVIRON MODELL SOFTW, V27-28, P83, DOI 10.1016/j.envsoft.2011.09.002
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   Pannell DJ, 2006, AUST J EXP AGR, V46, P1407, DOI 10.1071/EA05037
   Pearson LJ, 2011, ENVIRON MODELL SOFTW, V26, P113, DOI 10.1016/j.envsoft.2010.07.001
   Pittock AB, 2000, ENVIRON MONIT ASSESS, V61, P9, DOI 10.1023/A:1006393415542
   Sherwood SC, 2010, P NATL ACAD SCI USA, V107, P9552, DOI 10.1073/pnas.0913352107
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   US EPA, 2012, CLIM CHANG HLTH ENV
NR 27
TC 1
Z9 1
U1 0
U2 15
PU MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
PI CHRISTCHURCH
PA MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND
BN 978-0-9872143-3-1
PY 2013
BP 593
EP 599
PG 7
WC Computer Science, Interdisciplinary Applications; Operations Research &
   Management Science; Mathematics, Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Operations Research & Management Science; Mathematics
GA BD0EH
UT WOS:000357105900087
DA 2025-01-10
ER

PT J
AU Doiron, D
   Setton, EM
   Syer, J
   Redivo, A
   McKee, A
   Noaeen, M
   Patel, P
   Booth, GL
   Brauer, M
   Fuller, D
   Kestens, Y
   Rosella, LC
   Stieb, D
   Villeneuve, PJ
   Brook, JR
AF Doiron, Dany
   Setton, Eleanor M.
   Syer, Joey
   Redivo, Andre
   McKee, Allan
   Noaeen, Mohammad
   Patel, Priya
   Booth, Gillian L.
   Brauer, Michael
   Fuller, Daniel
   Kestens, Yan
   Rosella, Laura C.
   Stieb, Dave
   Villeneuve, Paul J.
   Brook, Jeffrey R.
TI HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and
   Public Health in Canadian Communities
SO JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE
LA English
DT Article
DE Urban health; Environmental equity; Web mapping; Vulnerable populations;
   Environmental exposures; Urban planning
ID RISK
AB Urban environmental factors such as air quality, heat islands, and access to greenspaces and community amenities impact public health. Some vulnerable populations such as low-income groups, children, older adults, new immigrants, and visible minorities live in areas with fewer beneficial conditions, and therefore, face greater health risks. Planning and advocating for equitable healthy urban environments requires systematic analysis of reliable spatial data to identify where vulnerable populations intersect with positive or negative urban/environmental characteristics. To facilitate this effort in Canada, we developed HealthyPlan.City (https://healthyplan.city/), a freely available web mapping platform for users to visualize the spatial patterns of built environment indicators, vulnerable populations, and environmental inequity within over 125 Canadian cities. This tool helps users identify areas within Canadian cities where relatively higher proportions of vulnerable populations experience lower than average levels of beneficial environmental conditions, which we refer to as Equity priority areas. Using nationally standardized environmental data from satellite imagery and other large geospatial databases and demographic data from the Canadian Census, HealthyPlan.City provides a block-by-block snapshot of environmental inequities in Canadian cities. The tool aims to support urban planners, public health professionals, policy makers, and community organizers to identify neighborhoods where targeted investments and improvements to the local environment would simultaneously help communities address environmental inequities, promote public health, and adapt to climate change. In this paper, we report on the key considerations that informed our approach to developing this tool and describe the current web-based application.
C1 [Doiron, Dany] McGill Univ, Res Inst, Resp Epidemiol & Clin Res Unit, Hlth Ctr, Montreal, PQ, Canada.
   [Setton, Eleanor M.; Redivo, Andre] Univ Victoria, Geog Dept, Victoria, BC, Canada.
   [Syer, Joey; McKee, Allan; Noaeen, Mohammad; Patel, Priya; Rosella, Laura C.; Brook, Jeffrey R.] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada.
   [Booth, Gillian L.] Univ Toronto, Dept Med, Toronto, ON, Canada.
   [Brauer, Michael] Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada.
   [Fuller, Daniel] Univ Saskatchewan, Coll Med, Dept Community Hlth & Epidemiol, Saskatoon, SK, Canada.
   [Kestens, Yan] Univ Montreal, Ecole St Publ, Montreal, PQ, Canada.
   [Stieb, Dave] Environm Hlth Sci & Res Bur, Hlth Canada, Vancouver, BC, Canada.
   [Villeneuve, Paul J.] Carleton Univ, Dept Neurosci, Ottawa, ON, Canada.
C3 McGill University; University of Victoria; University of Toronto;
   University of Toronto; University of British Columbia; University of
   Saskatchewan; Universite de Montreal; Health Canada; Carleton University
RP Doiron, D (corresponding author), McGill Univ, Res Inst, Resp Epidemiol & Clin Res Unit, Hlth Ctr, Montreal, PQ, Canada.
EM dany.doiron@mail.mcgill.ca
RI Noaeen, Mohammad/Q-3583-2016; Kestens, Yan/D-1631-2012
OI Syer, Joey/0009-0009-7631-4616
FU Public Health Agency of Canada; Public Health Agency of Canada under the
   Enhanced Surveillance for Chronic Disease Program; Canadian Institutes
   for Health Research
FX We would like to thank all members of our Advisory Committee for their
   guidance throughout the development of this tool: Kristen Boulard,
   Spencer Croil, Evelyne de Leeuw, Gurneet Dhami, Helen Doyle, Charito
   Gailling, Antonio Gomez-Palacio, Laura Minet, Rachel Mitchell, Charlene
   Nielsen, Olimpia Pantelimon, Nathan Roth, Olga Shcherbyna, Mikael
   St-Pierre, Helen Pineo, Stephanie Prince Ware, Shelby Yamamoto,
   Umayangga Yogalingam, and Paul Young. We also acknowledge the work done
   by the usability testers: Roya Adeli, Lubomyra Leong, Peter Luo, Ramya
   Manikumar, Evan Rees, and Amanda Sim. Finally, we would like to thank
   all individuals who provided feedback on initial versions of this tool.
   This work was funded by the Public Health Agency of Canada under the
   Enhanced Surveillance for Chronic Disease Program. Additional funding
   for this initiative came from the Canadian Institutes for Health
   Research.
CR American Forests, 2023, TREE EQ SCOR
   Bernstien J, 2022, CBC NEWS        0713
   Bernstien J, 2022, CBC NEWS
   Booth GL, 2013, DIABETES CARE, V36, P302, DOI 10.2337/dc12-0777
   Caspi CE, 2012, HEALTH PLACE, V18, P1172, DOI 10.1016/j.healthplace.2012.05.006
   Centers for Disease Control and Prevention and Agency for Toxic Substances Disease Registry, 2023, ENV JUST IND EJI EXP
   City of Calgary, 2022, CALGARY EQUITY INDEX
   City of Toronto, 2014, TORONTO STRONG NEIGH
   Council on Environmental Quality, 2023, CLIM EC JUST SCREEN
   Doiron D, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.106003
   Evans GW, 2002, ANNU REV PUBL HEALTH, V23, P303, DOI 10.1146/annurev.publhealth.23.112001.112349
   Gamble JL., 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment, P247, DOI [10.7930/J0Q81B0T, DOI 10.7930/J0Q81B0T]
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Helen Pineo., 2018, Cities Health, V2, P27, DOI DOI 10.1080/23748834.2018.1429180
   Henderson SB, 2022, ENVIRON EPIDEMIOL, V6, DOI 10.1097/EE9.0000000000000189
   Hodgson S, 2020, INT J EPIDEMIOL, V49, pI4, DOI 10.1093/ije/dyz051
   McCormack GR, 2011, INT J BEHAV NUTR PHY, V8, DOI 10.1186/1479-5868-8-125
   Pineo H, 2018, J URBAN HEALTH, V95, P613, DOI 10.1007/s11524-018-0228-8
   Roth K., 2023, Parks and Recreation
   Rundle AG, 2016, AM J PREV MED, V50, pE65, DOI 10.1016/j.amepre.2015.07.033
   Shiab N, 2022, CBC RADIO CANAD 0713
   Social Planning Council of Ottawa, 2021, NEIGHB EQ IND PROJ R
   Stieb DM, 2023, GEOHEALTH, V7, DOI 10.1029/2023GH000816
   Thurston GD, 2017, EUR RESPIR J, V49, DOI 10.1183/13993003.00419-2016
   Ville de Montreal, 2023, IND DEQ MIL VIE 2023
   World Health Organization, 2023, URB HEART URB HLTH E, P110
   Zhang JG, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7f64
NR 27
TC 1
Z9 1
U1 1
U2 6
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1099-3460
EI 1468-2869
J9 J URBAN HEALTH
JI J. Urban Health
PD JUN
PY 2024
VL 101
IS 3
BP 497
EP 507
DI 10.1007/s11524-024-00855-x
EA APR 2024
PG 11
WC Public, Environmental & Occupational Health; Medicine, General &
   Internal
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health; General & Internal Medicine
GA UX0F5
UT WOS:001198505400002
PM 38587782
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Salamanca-Fonseca, M
   Aldana, AM
   Vargas-Martinez, V
   Acero-Gomez, S
   Fonseca-Tellez, J
   Gutierrez, S
   Hoyos, YD
   León, KM
   Márquez, C
   Molina-R, L
   Moreno-Abdelnur, A
   Pineda, S
   Pinzón, JJ
   Trespalacios, M
   Velasco, L
   Sanchez-Tello, JD
   Alvarez-Garzón, C
   Posada, JM
   Sanchez, A
AF Salamanca-Fonseca, Mauricio
   Aldana, Ana M.
   Vargas-Martinez, Valeria
   Acero-Gomez, Sam
   Fonseca-Tellez, Juliana
   Gutierrez, Stivenn
   Hoyos, Yessica D.
   Leon, Katherin M.
   Marquez, Camilo
   Molina-R, Laura
   Moreno-Abdelnur, Angelica
   Pineda, Sara
   Pinzon, Juan Jose
   Trespalacios, Mariana
   Velasco, Liz
   Sanchez-Tello, Juan David
   Alvarez-Garzon, Carolina
   Posada, Juan M.
   Sanchez, Adriana
TI Effects of urban, peri-urban and rural land covers on plant functional
   traits around Bogotá, Colombia
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Global South; Heat island; Leaf traits; Wood traits; Urbanization
ID ECOSYSTEM SERVICES; GREEN SPACES; HEAT; FORESTS; WATER; TREE;
   VULNERABILITY; HANDBOOK; IMPACTS; ISLANDS
AB The Global South has suffered an accelerated population and urban growth. This has created multiple impacts at the regional level such as erosion, soil degradation and biodiversity loss, as well as temperature increase in the cities causing urban heat islands. Bogota, the capital of Colombia, is one of the largest cities in the Global South and in the last five decades has undergone a rapid urban transition, impacting surrounding ecosystems. However, little is known about how urbanization affects the local flora. To understand how plants are responding and adapting to urbanization processes in the city of Bogota, we used a land cover gradient of urban, peri-urban and rural areas, and four plant functional traits (leaf area [LA], specific leaf area [SLA], leaf dry matter content [LDMC] and wood density [WD]). We analyzed 16 species shared in at least two land covers. Although urban and peri-urban areas had higher temperatures and higher LDMC and lower SLA values than rural areas, there were no significant differences in functional traits between land covers. Some species showed significant changes between land covers, indicating that there is a species-specific response to urbanization. Considering the need for urban areas to prioritize species that promote cooling and exhibit resistance to stress, as well as the capacity to adapt to climate change, it is essential to include plants possessing different combinations of functional traits.
C1 [Salamanca-Fonseca, Mauricio; Vargas-Martinez, Valeria; Acero-Gomez, Sam; Fonseca-Tellez, Juliana; Gutierrez, Stivenn; Hoyos, Yessica D.; Leon, Katherin M.; Marquez, Camilo; Molina-R, Laura; Moreno-Abdelnur, Angelica; Pineda, Sara; Pinzon, Juan Jose; Trespalacios, Mariana; Velasco, Liz; Sanchez-Tello, Juan David; Alvarez-Garzon, Carolina; Posada, Juan M.; Sanchez, Adriana] Univ Rosario, Fac Nat Sci, Dept Biol, Bogota, DC, Colombia.
C3 Universidad del Rosario
RP Sanchez, A (corresponding author), Univ Rosario, Fac Nat Sci, Dept Biol, Bogota, DC, Colombia.
EM adriana.sanchez@urosario.edu.co
RI Marquez, Camilo/LWI-4989-2024; Aldana, Ana/AAW-1784-2021
OI Sanchez Tello, Juan David/0009-0006-7040-300X; Marquez,
   Camilo/0009-0002-8723-4127; Alvarez-Garzon,
   Carolina/0000-0002-4505-1034; Acero, Samuel/0009-0001-2425-1619;
   Gutierrez, Stivenn Andres/0009-0008-3296-9664; Salamanca-Fonseca,
   Mauricio/0009-0005-3953-854X
FU Colombia Consortium
FX Open Access funding provided by Colombia Consortium.
CR Alotaibi MD, 2020, ENVIRON SCI POLLUT R, V27, P29156, DOI 10.1007/s11356-020-09226-w
   Angel L., 2010, REV ACAD COLOMB CIEN, V34, P174
   [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]
   [Anonymous], 2019, World urbanization prospects 2018: Highlights, DOI DOI 10.18356/6255EAD2-EN
   Barradas VL, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.732250
   Blachowski J, 2021, FORESTS, V12, DOI 10.3390/f12081136
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Chave J, 2009, ECOL LETT, V12, P351, DOI 10.1111/j.1461-0248.2009.01285.x
   Cornelissen JHC, 2003, AUST J BOT, V51, P335, DOI 10.1071/BT02124
   Cortes J, 2019, ESTIMACION CAPACIDAD
   Departamento Administrativo Nacional de Estadistica (DANE), 2018, CENS NAC POBL VIV
   Deva CR, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00019
   El-Barougy RF, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10081519
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Esperon-Rodriguez M, 2022, NAT CLIM CHANGE, V12, P950, DOI 10.1038/s41558-022-01465-8
   Ferrini F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104247
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fox J., 2019, An R Companion to Applied Regression, V3rd ed
   Gartland LM, 2008, HEAT ISLANDS UNDERST, P30
   Gartner Barbara L., 2005, P307, DOI 10.1016/B978-012088457-5/50017-4
   Gauthier S, 2014, ENVIRON REV, V22, P256, DOI 10.1139/er-2013-0064
   Gavrilov I, 2015, TESTS NORMALITY, P1
   Gomez-Baggethun Erik, 2013, P175
   Gonzalez-Trevizo ME, 2021, ENERG BUILDINGS, V246, DOI 10.1016/j.enbuild.2021.111051
   Grote R, 2016, FRONT ECOL ENVIRON, V14, P543, DOI 10.1002/fee.1426
   Huang KN, 2022, NAT CLIM CHANGE, V12, P893, DOI 10.1038/s41558-022-01481-8
   Huang KN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4b71
   Huang R, 2022, FORESTS, V13, DOI 10.3390/f13050682
   Ilyas M, 2021, SCI HORTIC-AMSTERDAM, V286, DOI 10.1016/j.scienta.2021.110248
   Kassambara A., 2020, R PACKAGE VERSION, V1, P7
   Khan T, 2020, ENVIRON MANAGE, V65, P534, DOI 10.1007/s00267-020-01270-z
   Knapp Sonja., 2010, Plant biodiversity in urbanized areas: Plant functional traits in space and time, plant rarity and phylogenetic diversity, P13, DOI [DOI 10.1007/978-3-8348-9626-1_2, 10.1007/978-3-8348-9626-1_2]
   Koch NM, 2019, SCI TOTAL ENVIRON, V654, P705, DOI 10.1016/j.scitotenv.2018.11.107
   Kowarik I, 2011, ENVIRON POLLUT, V159, P1974, DOI 10.1016/j.envpol.2011.02.022
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Litardo J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102387
   Livesley SJ, 2016, J ENVIRON QUAL, V45, P119, DOI 10.2134/jeq2015.11.0567
   Lizée MH, 2011, ECOL INDIC, V11, P353, DOI 10.1016/j.ecolind.2010.06.003
   Mahecha G., 2010, Arbolado urbano de Bogota
   Mixed Migration Centre, 2020, URB MIX MIGR BOG CAS
   Myers G., 2021, Urban Ecology in the Global South, P27, DOI [10.1007/978-3-030-67650-62, DOI 10.1007/978-3-030-67650-62, 10.1007/978-3-030-67650-6_2, DOI 10.1007/978-3-030-67650-6_2]
   Nautiyal PC, 2002, FIELD CROP RES, V74, P67, DOI 10.1016/S0378-4290(01)00199-X
   Ngao J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413656
   Nock C. A., 2016, Functional Traits, P1, DOI DOI 10.1002/9780470015902.A0026282
   Nowak DJ, 2014, ENVIRON POLLUT, V193, P119, DOI 10.1016/j.envpol.2014.05.028
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1991, BOUND-LAY METEOROL, V56, P339, DOI 10.1007/BF00119211
   Orcid, 2021, REV CIUDADES ESTADOS, V8, P131, DOI [10.15446/cep.v8n3.91754, DOI 10.15446/CEP.V8N3.91754]
   Ordóñez C, 2014, ENVIRON REV, V22, P311, DOI 10.1139/er-2013-0078
   Osnas JLD, 2013, SCIENCE, V340, P741, DOI 10.1126/science.1231574
   Palma E, 2017, ECOGRAPHY, V40, P875, DOI 10.1111/ecog.02516
   Palomeque de la Cruz MA, 2017, INVEST GEOGR-MEX, V0, P151, DOI [10.14198/INGEO2017.68.09, DOI 10.14198/INGEO2017.68.09]
   Pares-Ramos IK, 2013, LAND-BASEL, V2, P37, DOI 10.3390/land2010037
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Pérez-Harguindeguy N, 2013, AUST J BOT, V61, P167, DOI 10.1071/BT12225
   Pourkhabbaz A, 2010, B ENVIRON CONTAM TOX, V85, P251, DOI 10.1007/s00128-010-0047-4
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Raevel V, 2012, OIKOS, V121, P1761, DOI 10.1111/j.1600-0706.2012.20261.x
   Rodríguez CM, 2019, INF CONSTR, V71, DOI 10.3989/ic.61006
   Rodriguez-Alarcon Slendy Julieth, 2020, Biota Colombiana, V21, P108, DOI 10.21068/c2020.v21n02a08
   Rojas E., 2010, Revista Corpoica - Ciencia y Tecnologia Agropecuarias, V11, P173
   Salgado-Negret B., 2015, La ecologia funcional como aproximacion al estudio, manejo y conservacion de la biodiversidad: protocolos y aplicaciones
   Searle SY, 2011, FUNCT ECOL, V25, P1007, DOI 10.1111/j.1365-2435.2011.01875.x
   Secretaria Distrital de Planeacion, 2022, ORD TERR
   Smart SM, 2017, FUNCT ECOL, V31, P1336, DOI 10.1111/1365-2435.12832
   Song GM, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105558
   Su YB, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.681959
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   Toledo-Garibaldi M, 2023, FOREST ECOL MANAG, V546, DOI 10.1016/j.foreco.2023.121327
   Ulpiani G, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141727
   vanRensburg L, 1997, S AFR J BOT, V63, P25, DOI 10.1016/S0254-6299(15)30688-8
   Vargas-Gómez O, 2014, NODO, V8, P99
   Violle C, 2007, OIKOS, V116, P882, DOI 10.1111/j.2007.0030-1299.15559.x
   Wang Y, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa848
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
   Xu XL, 2017, CHINESE GEOGR SCI, V27, P818, DOI 10.1007/s11769-017-0910-x
   Zambrano J, 2019, OECOLOGIA, V191, P505, DOI 10.1007/s00442-019-04505-x
   Zhang B, 2014, BUILD ENVIRON, V76, P37, DOI 10.1016/j.buildenv.2014.03.003
   Zhou HL, 2020, ENVIRON EXP BOT, V171, DOI 10.1016/j.envexpbot.2019.103932
   Zhu JY, 2021, BMC PLANT BIOL, V21, DOI 10.1186/s12870-021-03308-8
   Zhu JY, 2021, BMC PLANT BIOL, V21, DOI 10.1186/s12870-021-03207-y
   Zhu JY, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-02359-7
NR 83
TC 4
Z9 5
U1 10
U2 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD FEB
PY 2024
VL 27
IS 1
BP 251
EP 260
DI 10.1007/s11252-023-01429-6
EA OCT 2023
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA FT3K8
UT WOS:001079113600002
OA hybrid
DA 2025-01-10
ER

PT J
AU Lamprea-Quiroga, PS
   Jaramillo-Rodríguez, O
   Ayala, WM
AF Lamprea-Quiroga, Pedro Simon
   Jaramillo-Rodriguez, Omar
   Ayala, Wladimir Mejia
TI SOIL EROSION DUE TO RAINFALL AND THE IMPACTS OF CLIMATE CHANGE IN AN
   ANDEAN HIGHLAND IN COLOMBIA
SO CUADERNOS DE INVESTIGACION GEOGRAFICA
LA English
DT Article
AB Trends and median slope of daily rainfall that can affect rainfall aggressiveness and cause erosion in the Bogota -Duitama corridor were studied. For this, the daily records of 26 stations (35 years, from 1980 to 2014) were evaluated, using the Sen's statistic and the Mann-Kendall test with confidence levels higher than 90%. The studied area covered about 8,100 km2, located between 2,100 and 3,300 m a.s.l. in the Colombian Andes. Four stations with positive trends in median annual rainfall were found (from 6.90 mm/year to 28.80 mm/year) and one station with a decrease in median rainfall of-6.86 mm/year. In order to analyze the pluvial aggressiveness as the main agent of soil erosion, the Modified Fournier Indices (MFI) were generated for periods of 10 days. With the maximum decadal Modified Fournier Indices (MFIdmax) of each year, it was possible to establish the median positive trend (Sen) of rainfall aggressiveness in five stations and three stations with negative trends. Through the correlation between the degree of erosion with the square of the decadal average maximum values of each year (MFIdmax2) and the negative annual precipitation, a coefficient of determination (R2) greater than 0.50 was found. The validation of MFIdmax2 to explain the degree of soil erosion is a new useful methodology for land use planning and monitoring. In this way, developing countries have the possibility of using a tool to face the processes of pluvial erosion, vulnerability and adaptation to climate change.
C1 [Ayala, Wladimir Mejia] Pedag & Technol Univ Colombia UPTC, Agustin Codazzi Geog Inst IGAC, Bogota 101221, Colombia.
C3 Universidad Pedagogica y Tecnologica de Colombia (UPTC)
EM pslamprea@yahoo.com
RI LampreaQ, Pedro/KZU-8716-2024
OI MEJIA AYALA, WLADIMIR/0000-0002-4091-9885; Lamprea Quiroga, Pedro
   Simon/0000-0003-4641-624X
CR Almagro A, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08298-y
   Antelo R., 2014, ESTIMACION DATOS FAL, P1
   Arias-Muñoz P, 2023, INVESTIG GEOGR-SPAIN, P207, DOI 10.14198/INGEO.22390
   Basher L., 2012, IMPACTS CLIMATE CHAN
   Borrelli P, 2020, P NATL ACAD SCI USA, V117, P21994, DOI 10.1073/pnas.2001403117
   Chow V.T., 1994, Hidrologia Aplicada
   Clarke R.T., 1984, MATH MODELS HYDROLOG
   Di Lena B, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12060657
   Eekhout JPC, 2020, PROG PHYS GEOG, V44, P212, DOI 10.1177/0309133319871937
   Fournier F., 1960, Climat et erosion": la relation entre lerosion du sol par leau et les precipitations atmospheriques, DOI DOI 10.13031/2013.33644
   Gallego M., 2003, THESIS U EXTREMADURA
   Gomez E., 1991, B CIENC TIERRA, V10, P1
   Hudson N.W, 1982, Conservacion del Suelo
   Instituto de Hidrologia M. y E.A., 2015, EST NAC DEGR SUEL ER
   Instituto Geografico Agustin Codazzi [IGAC], 2014, NOMBR GEOGR COL REG
   Kendall M. G., 1948, Rank correlation methods.
   Lal R, 2021, PHILOS T R SOC B, V376, DOI 10.1098/rstb.2021.0084
   Linsley R.K., 1977, Hidrologia para ingenieros, V2nd
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Medina R., 2008, CENICAFE, V59, P260
   National Oceanic and Atmospheric Administration [NOAA], 2021, OC NIN IND ONI
   Pal I., 2009, THESIS U CAMBRIDGE, DOI [10.17863/CAM.13976, DOI 10.17863/CAM.13976]
   QUIROGA PSL, 2020, PERSPECT GEOGR, V25, P34, DOI DOI 10.19053/01233769.9283
   RENARD KG, 1994, J HYDROL, V157, P287, DOI 10.1016/0022-1694(94)90110-4
   Rojas E., 2010, Revista Corpoica - Ciencia y Tecnologia Agropecuarias, V11, P173
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Suresh R., 2008, WATERSHED HYDROLOGY
   Universidad Nacional de Colombia, 1999, PROC ER ESTR CAR IMP
   Valdés-Pineda R, 2016, HYDROLOG SCI J, V61, P2110, DOI 10.1080/02626667.2015.1085989
   Varallyay G., 2010, AGRON RES, V8
   XIAOFEI M, 2021, CATENA, V200
NR 31
TC 0
Z9 0
U1 0
U2 1
PU UNIV RIOJA, SERV PUBLICACIONES
PI LA RIOJA
PA C/ PISCINAS S/N, LOGRONO, LA RIOJA, 26004, SPAIN
SN 0211-6820
EI 1697-9540
J9 CUAD INVESTIG GEOGR
JI Cuad. Investig. Geogr.
PY 2023
VL 49
IS 2
BP 83
EP 99
DI 10.18172/cig.5667
PG 17
WC Geography, Physical
WE Emerging Sources Citation Index (ESCI)
SC Physical Geography
GA CQ4K9
UT WOS:001126695100007
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Newport, D
   Lobell, DB
   Balwinder-Singh
   Srivastava, AK
   Rao, P
   Umashaanker, M
   Malik, RK
   Mcdonald, A
   Jain, M
AF Newport, Danielle
   Lobell, David B.
   Balwinder-Singh
   Srivastava, Amit K.
   Rao, Preeti
   Umashaanker, Maanya
   Malik, Ram K.
   Mcdonald, Andrew
   Jain, Meha
TI Factors Constraining Timely Sowing of Wheat as an Adaptation to Climate
   Change in Eastern India
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
AB Climate change is predicted to negatively impact wheat yields across northern India, primarily as a result of increased heat stress during grain filling at the end of the growing season. One way that farmers may adapt is by sowing their wheat earlier to avoid this terminal heat stress. However, many farmers in the eastern Indo-Gangetic Plains (IGP) sow their wheat later than is optimal, likely leading to yield reductions. There is limited documentation of why farmers sow their wheat late and the potential constraints to early sowing. Our study uses data from 256 farmers in Arrah, Bihar, a region in the eastern IGP with late wheat sowing, to identify the socioeconomic, biophysical, perceptional, and management factors influencing wheat-sowing-date decisions. Despite widespread awareness of climate change, we found that farmers did not adopt strategies to adapt to warming temperatures and that wheat-sowing dates were not influenced by perceptions of climate change. Instead, we found that the most important factors influencing wheat-sowing-date decisions were irrigation type and cropping decisions during the monsoon season prior to the winter wheat growing season. Specifically, we found that using canal irrigation instead of groundwater irrigation, planting rice in the monsoon season, transplanting rice, and transplanting rice later during the monsoon season were all associated with delayed wheat sowing. These results suggest that there are system constraints to sowing wheat on time, and these factors must be addressed if farmers are to adapt wheat-sowing-date decisions in the face of warming temperatures.
C1 [Newport, Danielle; Rao, Preeti; Umashaanker, Maanya; Jain, Meha] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
   [Lobell, David B.] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   [Lobell, David B.] Stanford Univ, Ctr Food Secur & Environm, Stanford, CA 94305 USA.
   [Balwinder-Singh; Srivastava, Amit K.; Malik, Ram K.] Int Maize & Wheat Improvement Ctr CIMMYT, New Delhi, India.
   [Mcdonald, Andrew] Cornell Univ, Sch Integrat Plant Sci, Soil & Crop Sci Sect, Ithaca, NY USA.
C3 University of Michigan System; University of Michigan; Stanford
   University; Stanford University; CGIAR; International Maize & Wheat
   Improvement Center (CIMMYT); Cornell University
RP Jain, M (corresponding author), Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
EM mehajain@umich.edu
RI Singh, Balwinder/R-9998-2019; , Balwinder-Singh/F-3063-2011
OI Lobell, David/0000-0002-5969-3476; , Balwinder-Singh/0000-0002-6715-2207
FU National Science Foundation SEES Fellowship [1415436]; NASA Land Cover
   and Land Use Grant [NNX16AI19G]; Direct For Social, Behav & Economic
   Scie; Divn Of Social and Economic Sciences [1415436] Funding Source:
   National Science Foundation; NASA [902366, NNX16AI19G] Funding Source:
   Federal RePORTER
FX We thank the CSISA-CIMMYT field team who helped conduct household
   surveys. We also thank our funding sources, the National Science
   Foundation SEES Fellowship (1415436) and the NASA Land Cover and Land
   Use Grant (NNX16AI19G) awarded to author Jain.
CR Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
   [Anonymous], 2002, Direct Seeding: Research Strategies and Opportunities
   Balwinder-Singh, 2019, FIELD CROP RES, V239, P92, DOI 10.1016/j.fcr.2019.05.014
   Balwinder-Singh, 2015, FIELD CROP RES, V173, P68, DOI 10.1016/j.fcr.2014.11.018
   Basu S., 2014, Oryza, V51, P241
   Brechin SR, 2011, WIRES CLIM CHANGE, V2, P871, DOI 10.1002/wcc.146
   Brief industrial profile of Raipur district, Micro-medium-small-enterprises-development institute, Raipur. Ministry of MSME
   Cabangon RJ, 2002, AGR WATER MANAGE, V57, P11, DOI 10.1016/S0378-3774(02)00048-3
   Chakraborty D, 2018, J INDIAN SOC REMOTE, V46, P59, DOI 10.1007/s12524-017-0684-8
   Chandna P., 2004, INCREASING PRODUCTIV
   Chatterjee R, 2009, CURR SCI INDIA, V96, P1581
   Chaudhary S. K., 2011, Indian Journal of Agronomy, V56, P228
   Choubey N. K., 2001, Indian Journal of Weed Science, V33, P132
   Department of Agriculture, 2019, WHEAT PACK PRACT
   Directorate of Census Operations Bihar, 2011, DISTR CENS HDB A
   Gopal R., 2010, INT MAIZE WHEAT IMPR, P28
   Hira G. S., 2000, RES B, V1
   Hobbs P. R., 2001, Journal of Crop Production, V4, P1, DOI 10.1300/J144v04n01_01
   Hobbs P, 2019, EXP AGR, V55, P339, DOI 10.1017/S0014479717000424
   Jain M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8228
   Jain M, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8100860
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Jalota SK, 2009, AGR WATER MANAGE, V96, P1096, DOI 10.1016/j.agwat.2009.02.005
   Kalra N, 2008, CURR SCI INDIA, V94, P82
   Kazmi SI, 2012, PHYS CHEM EARTH, V47-48, P86, DOI 10.1016/j.pce.2012.01.001
   Keil A, 2015, FOOD SECUR, V7, P983, DOI 10.1007/s12571-015-0492-3
   Kumar SN, 2014, CLIM RES, V59, P173, DOI 10.3354/cr01212
   Ladha JK, 2003, FIELD CROP RES, V81, P159, DOI 10.1016/S0378-4290(02)00219-8
   Lantican MA, 1999, EXP AGR, V35, P127, DOI 10.1017/S0014479799002069
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Lobell DB, 2013, AGR SYST, V115, P137, DOI 10.1016/j.agsy.2012.09.003
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Moorthy B. T. S., 2002, Indian Journal of Weed Science, V34, P197
   Mukherji A., 2013, ECON POLIT WEEKLY, V48, P115
   ORTIZ-MONASTERIO JI, 1994, FIELD CROP RES, V37, P169, DOI 10.1016/0378-4290(94)90096-5
   Pathak H., 2015, Indian Journal of Fertilisers, V11, P102
   Rafiq MH, 2017, ENVIRON SCI POLLUT R, V24, P21797, DOI 10.1007/s11356-017-9813-8
   Rao BB, 2015, AGR FOREST METEOROL, V200, P192, DOI 10.1016/j.agrformet.2014.09.023
   Reynolds M.P., 2008, International Symposium on Wheat Yield Potential: Challenges to International Wheat Breeding
   Sharma AR, 1997, J AGR SCI, V129, P409, DOI 10.1017/S0021859697004887
   Singh MK, 2000, INDIAN J AGRON, V45, P300
   Singh R.P., 2004, Bulletin of Engineering Geology and the Environment, V63, P247, DOI [10.1007/s10064-003-0219-0, DOI 10.1007/S10064-003-0219-0]
   Singh S., 2009, Integrated crop and resource management in the rice-wheat system of South Asia B, P261
   Singh S., 2018, GRAIN FEED ANN NEW D
   Singh S, 2007, CROP PROT, V26, P518, DOI 10.1016/j.cropro.2006.04.024
   Singh Y, 2011, FIELD CROP RES, V121, P64, DOI 10.1016/j.fcr.2010.11.012
   Sivapragasam C, 2009, WATER RESOUR MANAG, V23, P853, DOI 10.1007/s11269-008-9303-3
   Timsina J, 2001, FIELD CROP RES, V69, P93, DOI 10.1016/S0378-4290(00)00143-X
   Tripathi S. C., 2005, SAARC Journal of Agriculture, V3, P191
   Tuong To Phuc, 2000, Plant Production Science, V3, P164
   Umashaanker M., 2019, THESIS U MICHIGAN
   Vyas S, 2013, J INDIAN SOC REMOTE, V41, P855, DOI 10.1007/s12524-013-0266-3
NR 52
TC 19
Z9 20
U1 2
U2 8
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 1948-8327
EI 1948-8335
J9 WEATHER CLIM SOC
JI Weather Clim. Soc.
PD JUL
PY 2020
VL 12
IS 3
BP 515
EP 528
DI 10.1175/WCAS-D-19-0122.1
PG 14
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 QW7PC
UT WOS:000628840600012
OA Bronze
DA 2025-01-10
ER

PT J
AU Pérez, V
   Larrañaga, N
   Abdallah, D
   Wünsch, A
   Hormaza, JI
AF Perez, Veronica
   Larranaga, Nerea
   Abdallah, Donia
   Wunsch, Ana
   Hormaza, Jose I.
TI Genetic Diversity of Local Peach (<i>Prunus persica</i>) Accessions from
   La Palma Island (Canary Islands, Spain)
SO AGRONOMY-BASEL
LA English
DT Article
DE genetic diversity; germplasm; home gardens; microsatellites; simple
   sequence repeats (SSR)
ID MOLECULAR CHARACTERIZATION; L. BATSCH; MICROSATELLITE MARKERS; CORE
   COLLECTION; ORIGIN; VARIABILITY; CULTIVARS; REPEATS; PROGRAM; GENOME
AB Peach (Prunus persica) is an economically important temperate fruit crop due to its edible fruits. Due to the need to develop new varieties better adapted to climate change, it is of great interest to find germplasm adapted to warmer conditions, such as those found in the Canary Islands. Peach was an important crop during the last century in one of those islands (La Palma), but its cultivation has been abandoned in recent years. Currently, commercial production is relict and isolated trees are relegated to family orchards with little management. With the objective to characterize and prevent the loss of local varieties of this crop, peach trees were sampled along La Palma. A total of 89 local peach accessions were prospected and analyzed with 10 single-sequence repeat (SSR) loci, which permitted 28 different genotype profiles to be detected. These genotypes were compared to 95 Spanish peach landraces conserved in an ex situ collection, and 26 additional samples from eight different countries. Results showed that the peach genetic diversity found in La Palma was low. In addition, a relation between La Palma samples and other Spanish peaches was observed, which could indicate the arrival of genetic material from the Iberian Peninsula and subsequent intercrossing and local selection of the genotypes more adapted to the subtropical climate of the island. The population structure reflects a grouping of the samples based on fruit type and geographic origin.
C1 [Perez, Veronica; Larranaga, Nerea; Hormaza, Jose I.] UMA, CSIC, IHSM La Mayora, Subtrop Fruit Crops Dept, Malaga 29750, Spain.
   [Perez, Veronica] CSIC, IPNA, Lab Agrobiol Juan Jose Bravo Rodriguez, Cabildo Insular La Palma,Unidad Tecn, S C La Palma 38700, Canary Islands, Spain.
   [Larranaga, Nerea] Univ Guadalajara, IMAREFI, Jalisco 45110, Mexico.
   [Abdallah, Donia] Univ Tunis el Manar, Fac Sci Tunis, Dept Biol, Tunis 2092, Tunisia.
   [Wunsch, Ana] Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Unidad Hortofruticultura, Avda Montanana 930, Zaragoza 50059, Spain.
   [Wunsch, Ana] Univ Zaragoza, CITA, Inst Agroalimentario Aragon IA2, Zaragoza 50013, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); Universidad de
   Malaga; CSIC-UMA - Instituto de Hortofruticultura Subtropical y
   Mediterranea La Mayora (IHSM); Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Instituto de Productos Naturales y
   Agrobiologia (IPNA); Universidad de Guadalajara; Universite de
   Tunis-El-Manar; Faculte des Sciences de Tunis (FST); University of
   Zaragoza
RP Hormaza, JI (corresponding author), UMA, CSIC, IHSM La Mayora, Subtrop Fruit Crops Dept, Malaga 29750, Spain.
EM veronica@ipna.csic.es; nlarranaga@eelm.csic.es; abdallahdonia@yahoo.fr;
   awunsch@aragon.es; ihormaza@eelm.csic.es
RI Hormaza, Inaki/D-8066-2011; Wunsch, Ana/A-6206-2009; Larranaga,
   Nerea/H-5454-2017
OI Hormaza, Inaki/0000-0001-5449-7444; Wunsch, Ana/0000-0002-8684-8840;
   Perez Mendez, Veronica/0000-0002-2530-6394; Larranaga,
   Nerea/0000-0002-8895-134X
FU Ministerio de Economia y Competitividad-European Development Fund;
   European Union [AGL2016-77267-R]; INIA [RFP2015-00015-00-00]; Cabildo de
   La Palma-CSIC; Mexican Governement through the Mexican Agency for
   International Development Cooperation
FX This work has been funded by the Ministerio de Economia y
   Competitividad-European Development Fund, European Union
   (AGL2016-77267-R) and INIA (RFP2015-00015-00-00 'Banco de recursos
   fitogeneticos de frutales del CITA de Aragon'). V.P. was supported by a
   Cabildo de La Palma-CSIC postdoc contract. N.L. is funded by the Mexican
   Governement through the Mexican Agency for International Development
   Cooperation.
CR Adamack AT, 2014, METHODS ECOL EVOL, V5, P384, DOI 10.1111/2041-210X.12158
   Aranzana MJ, 2003, THEOR APPL GENET, V106, P1341, DOI 10.1007/s00122-002-1128-5
   Aranzana MJ, 2002, PLANT BREEDING, V121, P87, DOI 10.1046/j.1439-0523.2002.00656.x
   Baird WV, 1996, HORTSCIENCE, V31, P1099, DOI 10.21273/HORTSCI.31.7.1099
   Bouhadida M, 2007, SCI HORTIC-AMSTERDAM, V111, P140, DOI 10.1016/j.scienta.2006.10.018
   Bouhadida M, 2011, TREE GENET GENOMES, V7, P257, DOI 10.1007/s11295-010-0329-3
   Brito W.R., 1982, AGR ISLA PALMA
   Cheng ZP, 2009, SCI HORTIC-AMSTERDAM, V120, P188, DOI 10.1016/j.scienta.2008.10.008
   Cipriani G, 1999, THEOR APPL GENET, V99, P65, DOI 10.1007/s001220051209
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Faust M., 1995, Horticultural Reviews, V17, P331, DOI 10.1002/9780470650585.ch10
   Gómez-Carballa A, 2012, AM J PHYS ANTHROPOL, V147, P78, DOI 10.1002/ajpa.21629
   Gruber B, 2015, MOL ECOL RESOUR, V15, P1172, DOI 10.1111/1755-0998.12381
   Hammer K, 2003, NATURWISSENSCHAFTEN, V90, P241, DOI 10.1007/s00114-003-0433-4
   Herrero J., 1964, CARTOGRAFIA FRUTALES
   Hesse C. O., 1975, Advances in fruit breeding. Temperate fruits., P285
   Hormaza JI, 2002, THEOR APPL GENET, V104, P321, DOI 10.1007/s001220100684
   Huang HongWen Huang HongWen, 2008, The peach: botany, production and uses, P37, DOI 10.1079/9781845933869.0037
   Hubisz MJ, 2009, MOL ECOL RESOUR, V9, P1322, DOI 10.1111/j.1755-0998.2009.02591.x
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Aranzana MJ, 2010, BMC GENET, V11, DOI 10.1186/1471-2156-11-69
   Larranaga N, 2017, MOL ECOL, V26, P4116, DOI 10.1111/mec.14157
   Li TH, 2008, J INTEGR PLANT BIOL, V50, P102, DOI 10.1111/j.1744-7909.2007.00598.x
   Li XW, 2013, BMC GENET, V14, DOI 10.1186/1471-2156-14-84
   Marsal G., 2019, OENO ONE, P53
   Martín C, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023979
   Mendizabal I, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-213
   NEI M, 1979, P NATL ACAD SCI USA, V76, P5269, DOI 10.1073/pnas.76.10.5269
   Padilla G, 2014, PLANT GENET RESOUR-C, V12, P323, DOI 10.1017/S1479262114000112
   Pereira-Lorenzo S, 2008, SCI HORTIC-AMSTERDAM, V117, P160, DOI 10.1016/j.scienta.2008.03.033
   Pereira-Lorenzo S, 2018, SCI HORTIC-AMSTERDAM, V240, P49, DOI 10.1016/j.scienta.2018.05.053
   Pereira-Lorenzo S, 2011, GENOME, V54, P301, DOI [10.1139/g10-122, 10.1139/G10-122]
   QGIS Development Team, QGIS GEOGR INF SYST
   Rohlf F.J., 1993, NTSYS PC NUMERICAL T
   Rosenberg NA, 2004, MOL ECOL NOTES, V4, P137, DOI 10.1046/j.1471-8286.2003.00566.x
   santana Perez G., 2014, Tebeto: Anuario del Archivo Historico Insular de Fuerteventura, V7, P73
   Sosinski B, 2000, THEOR APPL GENET, V101, P421, DOI 10.1007/s001220051499
   Suarez-Bosa M., 2013, SECUENCIA, V87, P97
   Testolin R, 2000, GENOME, V43, P512, DOI 10.1139/gen-43-3-512
   Varshney RK, 2005, TRENDS PLANT SCI, V10, P621, DOI 10.1016/j.tplants.2005.10.004
   Verde I, 2013, NAT GENET, V45, P487, DOI 10.1038/ng.2586
   Viera y Clavijo J., 1866, Diccionario de Historia Natural de Las Islas Canarias. Tomo I
   WRIGHT S, 1951, ANN EUGENIC, V15, P323
   Wünsch A, 2006, GENET RESOUR CROP EV, V53, P925, DOI 10.1007/s10722-004-6697-5
   Xie RJ, 2010, SCI HORTIC-AMSTERDAM, V125, P622, DOI 10.1016/j.scienta.2010.05.015
   Yoon JH, 2006, J AM SOC HORTIC SCI, V131, P513, DOI 10.21273/JASHS.131.4.513
   Yu Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07744-3
   Zheng YL, 2014, PLOS ONE, V9, DOI [10.1371/journal.pone.0109765, 10.1371/journal.pone.0093624]
NR 51
TC 19
Z9 20
U1 0
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD APR
PY 2020
VL 10
IS 4
AR 457
DI 10.3390/agronomy10040457
PG 13
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA LP9EX
UT WOS:000534619900003
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lee, YJ
   Tung, CM
   Lin, SC
AF Lee, Yung-Jaan
   Tung, Chuan-Ming
   Lin, Shih-Chien
TI Attitudes to climate change, perceptions of disaster risk, and
   mitigation and adaptation behavior in Yunlin County, Taiwan
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Vulnerability; Ecological footprint; Risk perception; Place attachment;
   Structural equation model
ID PLACE ATTACHMENT; VULNERABILITY; STRATEGIES; IDENTITY; CITIES; IMPACT;
   BIAS
AB Issues that are associated with climate change have global importance. Most related studies take a national or regional perspective on the impact of climate change. Taiwan is constrained by its geographical conditions, which increase its vulnerability to climate change, especially in its western coastal areas. The county that is most affected by climate change is Yunlin. In 2013-2014, projects that were sponsored by Taiwan's government analyzed the relationship among synthesized vulnerability, ecological footprint (EF) and adaptation to climate change and proposed 15 categories of synthesized vulnerability and EF values. This study further examines the relationship between vulnerability and EF values and examines how residents of four townships-Linnei, Sihu, Mailiao, and Huwei-cope with the effects of climate change. This study investigates whether the residents of the four townships vary in their attitudes to climate change, their perceptions of disaster risk, and their behavioral intentions with respect to coping with climate change. The structural equation model (SEM) is used to examine the relationships among attitudes to climate change, perceptions of disaster risk, and the behavioral intentions of residents in townships with various vulnerabilities to climate change. The results that are obtained using the SEM reveal that climate change mitigation/adaptation behavior is affected by attitudes to climate change and perceptions of disaster risk. However, the effects of attitudes and perceptions on mitigation and adaptation that are mediated by place attachment are not statistically significant.
C1 [Lee, Yung-Jaan] Chung Hua Inst Econ Res, Taipei, Taiwan.
   [Tung, Chuan-Ming] Ming Chuan Univ, Taipei, Taiwan.
   [Lin, Shih-Chien] Chinese Culture Univ, Taipei, Taiwan.
C3 Ming Chuan University; Chinese Culture University
RP Lee, YJ (corresponding author), Chung Hua Inst Econ Res, Taipei, Taiwan.
EM yungjaanlee@gmail.com
FU Ministry of Science and Technology [MOST104-2410-H-170-003,
   MOST105-2410-H-170-001-MY2]; Ministry of Science and Technology
FX This study includes some of the results of research that was subsidized
   by the Ministry of Science and Technology under the projects, "From the
   Perspective of Vulnerability, Ecological Footprint and Risk Perception
   to the Construction of Resilient Urban and Rural Areas: a Case Study of
   Yunlin County" (Project Number: MOST104-2410-H-170-003) and "A
   Comparison Study of Urban-rural Resilience, Adaptation Strategies, Risk
   Perception and Place Attachment-Taipei and Yunlin" (Project Number:
   MOST105-2410-H-170-001-MY2). Special thanks to the Ministry of Science
   and Technology for this financial support and to Ms. Yu-Shiuan Lee for
   collecting and analyzing the data.
CR Ajzen I, 1985, ACTION CONTROL COGNI, P11, DOI [10.1007/978-3-642-69746-32, DOI 10.1007/978-3-642-69746-32, 10.1007/978-3-642-69746-3_2, DOI 10.1007/978-3-642-69746-3_2]
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   Armas I, 2006, RISK ANAL, V26, P1223, DOI 10.1111/j.1539-6924.2006.00810.x
   Bennett NJ, 2014, ECOL SOC, V19, DOI 10.5751/ES-06315-190205
   Bernardo F, 2013, ESTUD PSICOL-MADRID, V34, P323, DOI 10.1174/021093913808349253
   Bonaiuto M., 2011, P INT S UFRIM URB FL, P547
   Burck J., 2017, Climate Change Performance Index
   Casakin H, 2015, CITIES, V42, P224, DOI 10.1016/j.cities.2014.07.007
   Chang HS, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-6294-x
   Chu RL, 2013, J ENV ED RES, V9, P91
   De Dominicis S, 2015, J ENVIRON PSYCHOL, V43, P66, DOI 10.1016/j.jenvp.2015.05.010
   Devine-Wright P, 2017, GLOBAL ENVIRON CHANG, V47, P110, DOI 10.1016/j.gloenvcha.2017.08.003
   Devine-Wright P., 2013, Place Attachment: Advances in Theory, Methods, and Applications, P165
   Eckstein David., 2017, GLOBAL CLIMATE RISK
   Fishbein M., 1975, Belief, attitudes, intention, DOI DOI 10.1080/00336297.1994.10484118.FAO/RAP/FIPL
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Giuliani D, 2003, INT CONF ACOUST SPEE, P137
   Hair J. F., 2010, Multivariate data analysis
   Hatfield J, 2001, J ENVIRON PSYCHOL, V21, P17, DOI 10.1006/jevp.2000.0190
   Hong RZ, 2012, J EDUC PSYCHOL, V44, P373
   Huang F.M., 2002, STRUCTURAL EQUATION
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   Institute of Medicine, 2015, HLTH RES SUST COMM D
   IPCC, 2014, IPCC WORK GROUP 2 CO
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Khim L., 2012, ASIAN J ENV DISASTER, P447, DOI [10.3850/S1793924012100067, DOI 10.3850/S1793924012100067]
   Lee YJ, 2017, INT REV SPAT PLAN SU, V5, P35, DOI 10.14246/irspsd.5.2_35
   Lee YJ, 2017, TECNOL CIENC AGUA, V8, P5, DOI 10.24850/j-tyca-2017-02-01
   Lee YJ, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010064
   Liao KM, 2009, ANAL PUBLICS DISASTE
   Lin CC, 2014, J ENVIRON PLANN MAN, V57, P1441, DOI 10.1080/09640568.2013.811401
   National Institute of Standards and Technology (NIST), 2016, NIST SPECIAL PUBLICA, V1190
   National Safety Council, 2013, RISK PERC THEOR STRA
   Raaijmakers R, 2008, NAT HAZARDS, V46, P307, DOI 10.1007/s11069-007-9189-z
   Ruiz C, 2014, J ENVIRON PSYCHOL, V38, P279, DOI 10.1016/j.jenvp.2014.03.008
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Scannell L, 2010, J ENVIRON PSYCHOL, V30, P1, DOI 10.1016/j.jenvp.2009.09.006
   Schultz PW, 2014, ENVIRON BEHAV, V46, P267, DOI 10.1177/0013916512458579
   Schultz PW, 2005, J CROSS CULT PSYCHOL, V36, P457, DOI 10.1177/0022022105275962
   TwiggerRoss CL, 1996, J ENVIRON PSYCHOL, V16, P205, DOI 10.1006/jevp.1996.0017
   UNFCCC, 2017, 1 STEPS SAF FUT INTR
   UNISDR, 2012, RED VUL EXP DIS AS P
   Uzzell DL, 2000, J ENVIRON PSYCHOL, V20, P307, DOI 10.1006/jevp.2000.0175
   van Veelen B, 2017, SOCIOL RURALIS, V57, P533, DOI 10.1111/soru.12128
   Yang C. H, 2010, CITY PLAN, V37, P13
NR 45
TC 17
Z9 17
U1 7
U2 42
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD OCT
PY 2019
VL 26
IS 30
BP 30603
EP 30613
DI 10.1007/s11356-018-1358-y
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JJ3FW
UT WOS:000494047900008
PM 29423694
DA 2025-01-10
ER

PT J
AU Schoetter, R
   Grawe, D
   Hoffmann, P
   Kirschner, P
   Grätz, A
   Schlünzen, KH
AF Schoetter, Robert
   Grawe, David
   Hoffmann, Peter
   Kirschner, Peter
   Graetz, Angelika
   Schluenzen, K. Heinke
TI Impact of local adaptation measures and regional climate change on
   perceived temperature
SO METEOROLOGISCHE ZEITSCHRIFT
LA English
DT Article
DE perceived temperature; sensitivity; automatic differentiation;
   adaptation to climate change
ID MODEL
AB The perceived temperature (PT) is a measure for the quantification of human thermal comfort developed by the German Meteorological Service (DWD). In the present article, the sensitivity of PT on air temperature, water vapour pressure, wind speed, mean radiant temperature, street canyon width, and building heights is investigated. The mesoscale atmospheric model METRAS is integrated for a domain covering the city of Hamburg at 250 m horizontal resolution to calculate the meteorological input data for PT. The sensitivities of PT are determined by automatic differentiation of the basic DWD program. The sensitivities show how local adaptation measures and regional climate change can influence PT. The sensitivities also allow to estimate how accurate different input variables need to be known in order to achieve a desired accuracy in PT. The results are discussed in detail for 10 June 2007, a cloudless day with advection of warm air masses from south-east. A comparison with results obtained for different synoptic situations during summer is made. The sensitivities of PT on air temperature, water vapour pressure and mean radiant temperature are higher during warm and humid conditions than in situations with thermal comfort. The sensitivity of PT on wind speed is highest for low wind speeds. Around noon, increasing the building heights by 5 m can reduce PT up to 2.4 K due to shading effects in street canyons with aspect ratios above 0.5. After sunset, increasing the building heights by 5 m tends to moderately increase PT due to increased longwave radiation.
C1 [Schoetter, Robert; Grawe, David; Hoffmann, Peter; Kirschner, Peter; Schluenzen, K. Heinke] Univ Hamburg, Inst Meteorol, D-20146 Hamburg, Germany.
   [Graetz, Angelika] Zentrum Med Meteorol Forsch, Deutsch Wetterdienst Freiburg, Freiburg, Germany.
C3 University of Hamburg
RP Schoetter, R (corresponding author), Univ Hamburg, Inst Meteorol, Klima Campus,Bundesstr 55, D-20146 Hamburg, Germany.
EM robert.schoetter@zmaw.de
RI Hoffmann, Peter/KYC-1568-2024; Schoetter, Robert/JQV-8894-2023
OI Grawe, David/0000-0003-4961-2000
FU German Federal Ministry of Education and Research [01LR0805D]; Cluster
   of Excellence 'CliSAP', University of Hamburg [EXC177]; German Science
   Foundation (DFG); University of Hamburg; excellence cluster CLiSAP
FX The present work has been performed in the framework of the project
   KLIMZUG-NORD funded under grant 01LR0805D by the German Federal Ministry
   of Education and Research. The Deutscher Wetterdienst (DWD) is
   acknowledged for providing program used for calculation of PT. The
   present work is supported in parts through the Cluster of Excellence
   'CliSAP' (EXC177), University of Hamburg, funded through the German
   Science Foundation (DFG). Simon Blessing is acknowledged for advice
   concerning the usage of the Transformation of Algorithms in Fortran
   precompiler TAF. Surface cover data and information on building
   characteristics have been retrieved from the "Freie und Hansestadt
   Hamburg, Landesbetrieb Geoinformation und Vermessung (Nr. 102156)", the
   "Landesamt fur Geoinformation und Landentwicklung Niedersachsen (LGN)",
   the "Landesvermessungsamt Schleswig-Holstein", the "Amt fur
   Geoinformation", and the "Vermessungs- und Katasterwesen
   Mecklenburg-Vorpommern". Costs for these datasets have been covered by
   the University of Hamburg as well as by the excellence cluster CLiSAP.
CR [Anonymous], 2000, EMISSION SCENARIOS
   BLAZEJCZYK K., 2011, INT J BIOMETEOROL, V57, P125
   BSU, 2008, VERS HAMB 2008
   DASCHKEIT A, 2011, KLIMABERICHT METROPO, P61, DOI [10.1007/978-3-642-16035-6, DOI 10.1007/978-3-642-16035-6]
   ECMWF, 2010, IFS DOC CY36R1 OP IM
   ECMWF, 2009, IFS DOC CY33R1 OP IM
   Garratt J. R., 1992, The atmospheric boundary layer
   Giering R, 1998, ACM T MATH SOFTWARE, V24, P437, DOI 10.1145/293686.293695
   Grawe D, 2013, INT J CLIMATOL, V33, P2388, DOI 10.1002/joc.3589
   HOFFMANN P., J APPL METEOROL
   HOFFMANN P., 2012, THESIS U HAMBURG
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   JENDRITZKY G., 2000, INT WORKSH WINDCH 03
   KAMINSKI T., 2005, LECT NOTES COMPUTATI, V50, P273
   Kim JJ, 2009, ADV ATMOS SCI, V26, P45, DOI 10.1007/s00376-009-0045-9
   LGV, 2009, DIG STADTGR
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Mayer H, 2008, METEOROL Z, V17, P241, DOI 10.1127/0941-2948/2008/0285
   Schlunzen K. H., 1990, Contributions to Atmospheric Physics, V63, P243
   SCHLUNZEN K. H., 2012, 3 U HAMB MET I
   SCHLUNZEN K.H., 2012, 4 MEMI U HAMB MET I
   Schoetter R, 2012, J APPL METEOROL CLIM, V51, P1670, DOI 10.1175/JAMC-D-11-0161.1
   Schubert S, 2012, BOUND-LAY METEOROL, V145, P439, DOI 10.1007/s10546-012-9728-3
   Staiger H, 2012, INT J BIOMETEOROL, V56, P165, DOI 10.1007/s00484-011-0409-6
NR 24
TC 15
Z9 15
U1 0
U2 18
PU E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
PI STUTTGART
PA NAEGELE U OBERMILLER, SCIENCE PUBLISHERS, JOHANNESSTRASSE 3A, D 70176
   STUTTGART, GERMANY
SN 0941-2948
EI 1610-1227
J9 METEOROL Z
JI Meteorol. Z.
PD APR
PY 2013
VL 22
IS 2
BP 117
EP 130
DI 10.1127/0941-2948/2013/0381
PG 14
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 179ZJ
UT WOS:000321561600004
DA 2025-01-10
ER

PT J
AU Eskeland, GS
   Mideksa, TK
AF Eskeland, Gunnar S.
   Mideksa, Torben K.
TI Electricity demand in a changing climate
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Elasticities; Electricity demand; Europe;
   Mitigation
ID RESIDENTIAL DEMAND; WARM CLIMATES; COLD HOUSES; PARADOX
AB Our interest is in electricity demand and the temperature aspects of climate change. Electricity consumption is of interest both from the perspectives of adaptation to climate change and emission reductions. We study the relationship between European electricity consumption and outdoor temperature and other variables, using a panel data set of 31 countries. Apart from providing a rare quantitative window into adaptation, the study contributes demand system parameters with respect to price and income. The results suggest that weather has a statistically significant effect on electricity demand, with effects that are of plausible magnitude. In a simulation of climate change for the next 100 years-other factors held constant-we find that the demand for heating will decrease in Northern Europe while the demand for cooling will increase in Southern Europe. In countries like Cyprus, Greece, Italy, Malta, Spain, and Turkey the net effect of increased cooling outweighs decreased heating consumption whereas in most of Europe the opposite holds. The largest estimated partial impact is 20%, which predicted increase in adaptive consumption for Turkey and decrease in adaptive consumption for Latvia. Estimated elasticities with respect to income and price are 0.8 and minus 0.2 respectively: plausible in the light of the literature. As a discussion item, we add that electricity consumption changes due to temperature change likely will be small compared to those due to other factors, such as changes in income, demography and technology. The study does not include effects of climate change other than through electricity consumption.
C1 [Mideksa, Torben K.] Ctr Int Climate & Environm Res Oslo, Oslo, Norway.
   [Eskeland, Gunnar S.] Norwegian Sch Econ & Business Adm, N-5035 Bergen, Norway.
C3 Norwegian School of Economics (NHH)
RP Mideksa, TK (corresponding author), Ctr Int Climate & Environm Res Oslo, Oslo, Norway.
EM gunnar.eskeland@nhh.no; torben_mideksa@hks11.harvard.edu
FU Norwegian Research Council; European Union
FX This research was financed by the Norwegian Research Council under the
   Climate Change Impacts in the Electricity Sector (CELECT) project and
   the European Union under the Adaptation and Mitigation Strategies:
   Supporting European Climate Policy (ADAM) project. We benefited from the
   assistance and comments of many individuals. We are especially grateful
   to Rasmus Benestad for processing the climate data and Lynn Nygaard for
   editorial assistance. We also thank, in alphabetic order, Asbjorn
   Aahaiem, Bedru Balana, Eirik Forland, Rolf Golombek, Timo Goeschl,
   Martin Jakob, Svenn Jensen, Steffen Kallbekken, Nathan Rive, Hakon
   Saelen, Kjetil Storesletten, Asbjorn Torvanger, Hege Westskog, and
   seminar participants at the Okonomi Fagdagen of CICERO, Ragnar Frisch
   Center for Economic Research, and the 17th Annual Conference of the
   European Association of Environmental and Resource Economists in VU
   University in Amsterdam. As always, the authors are solely responsible
   for any errors or omissions.
CR ANDERSON KP, 1973, J BUS, V46, P526, DOI 10.1086/295576
   [Anonymous], 1998, 6849 NBER
   [Anonymous], 2007, ELECT CONSUMPTION EF
   Asadoorian MO, 2008, ENERG ECON, V30, P1577, DOI 10.1016/j.eneco.2007.02.003
   BENESTAD R, 2005, GEOPHYS RES LETT
   Benestad RE, 2008, Heating degree days, cooling degree days and precipitation in Europe - Analysis for the CELECT project
   BERNDT RE, 1978, 78021WP MITEL
   BIGANO A, 2006, 2006112 FOND EE MATT
   DEWEES DN, 1990, J POLIT ECON, V98, P656, DOI 10.1086/261699
   DUBIN JA, 1986, RAND J ECON, V17, P310, DOI 10.2307/2555713
   ESKELAND G, 1993, ENERGY J, V19, P85
   ESKELAND G, 1997, J DEV EC
   ESKELAND GS, 1994, WORLD BANK ECON REV, V8, P373, DOI 10.1093/wber/8.3.373
   *EUR, EL PRIC DAT
   *EUR, EL CONS DAT
   Fisher FranklinM., 1962, A Study in Econometrics: The Demand for Electricity in the United States
   FRIEDMAN D, 1987, J POLIT ECON, V95, P1089, DOI 10.1086/261503
   Fuss M.A., 1977, Journal of Econometrics, V5, P89
   Greenwood J, 2005, REV ECON STUD, V72, P109, DOI 10.1111/0034-6527.00326
   Hall RE, 1999, Q J ECON, V114, P83, DOI 10.1162/003355399555954
   HALVORSEN R, 1975, REV EC STAT, V57
   HAUSMAN JA, 1979, BELL J ECON, V10, P33, DOI 10.2307/3003318
   HAUSMAN JA, 1985, ECONOMETRICA, V53, P1255, DOI 10.2307/1913207
   Horowitz JK, 2009, ENVIRON RESOUR ECON, V44, P475, DOI 10.1007/s10640-009-9296-2
   Houthakker H.S., 1970, CONSUMER DEMAND US A, V2nd
   *IEA, 2002, EL INF 2001 DAT INT
   *IEA, 2007, EL INF 2007 2006 DAT
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   JORGENSON DW, 1991, HARVARD I EC RES WOR, V1575
   KAMERSCHEN DR, 2004, ENERGY EC ELSEVIER, V26
   LECOMTE DM, 1981, J APPL METROLOGY
   Liu G, 2004, 373 RES DEP STAT NOR
   Mansur ET, 2008, J ENVIRON ECON MANAG, V55, P175, DOI 10.1016/j.jeem.2007.10.001
   Masters WA, 2001, J ECON GROWTH, V6, P167, DOI 10.1023/A:1011398431524
   MEEHL GA, 2007, B AM METEOROLOGICAL
   PITT M, 1985, ENERGY J, V6
   Ramanathan V, 2008, P NATL ACAD SCI USA, V105, P14245, DOI 10.1073/pnas.0803838105
   REISS PC, 2005, REV EC STUD, V72
   SANDMO A, 1975, SWED J EC, V77
   Stock J. H., 2007, Introduction to Econometrics, V2nd
   TAYLOR LD, 1975, BELL J ECON, V6, P74, DOI 10.2307/3003216
   WARNER A, 2002, 091 CID HARV U
NR 42
TC 77
Z9 84
U1 1
U2 62
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 2010
VL 15
IS 8
BP 877
EP 897
DI 10.1007/s11027-010-9246-x
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 691VK
UT WOS:000285108700005
DA 2025-01-10
ER

PT J
AU Goh, K
AF Goh, Kian
TI Flows in formation: The global-urban networks of climate change
   adaptation
SO URBAN STUDIES
LA English
DT Article
DE built environment; climate change; environment; sustainability;
   infrastructure; planning; theory; urban politics
ID CITIES; POLITICS; GEOGRAPHIES; POLICY; RESILIENCE; DISASTERS; RESPONSES;
   RISKS
AB As climate change threats to urban centres become more alarming, cities are proposing ambitious plans to adapt to climate impacts. These plans are increasingly subsumed within urban development projects, and embedded in global flows of capital and networks of environmental governance and planning. And yet, scholarship on urban adaptation has tended to approach the city as an analytically bounded territory, neglecting interconnections across space and processes of globalisation, urbanisation, and geopolitics. This paper extends theories of relational geographies to explore the emerging conditions of urban adaptation in the context of climate change and globalised urban development. Focusing on the global links of Dutch water expertise, and tracing relationships within and between Rotterdam, New York, and Jakarta, it illustrates the formation of global-urban networks - the multiscalar, multilevel connections through which capital, knowledge, and influence flow. It probes the ways in which these networks emerge to mobilise ideas and influence across geographical scales and political boundaries, driven and defined by interrelated factors including economic relationships, historically defined situational relationships, and interface conditions including narratives of culture and environmental urgency. The paper introduces the concept of 'network formation' to see and understand such interconnected, relational processes. It explains the spatial and temporal interconnections within and across sites, and the relationships between urban spatial projects and broader political economies and ecologies. The paper asserts the importance of conceptualising the relationships and interfaces of increasingly mobile and interconnected urban environmental futures.
C1 [Goh, Kian] Univ Calif Los Angeles, Los Angeles, CA USA.
C3 University of California System; University of California Los Angeles
RP Goh, K (corresponding author), Univ Calif Los Angeles, Dept Urban Planning, Luskin Sch Publ Affairs, 3250 Publ Affairs Bldg, Los Angeles, CA 90095 USA.
EM kiangoh@ucla.edu
OI /0000-0003-1830-2392
CR Abidin HZ, 2011, NAT HAZARDS, V59, P1753, DOI 10.1007/s11069-011-9866-9
   Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   Amin A., 2004, GEOGR ANN B, V86, P33, DOI 10.1111/j.0435-3684.2004.00152.x
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2013, PROMOTING RESILIENCE
   [Anonymous], 2013, Contribution of working group i to the fifth assessment report of the intergovernmental panel on climate change
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   [Anonymous], NY TIMES
   [Anonymous], WORK WAT LIV LAND BU
   [Anonymous], 2011, MOBILE URBANISM CITI
   Anya Agnes, 2017, JAKARTA POST
   Asian Cities Climate Change Resilience Network, 2013, ACCCRN CIT PROJ
   Awuor CB, 2008, ENVIRON URBAN, V20, P231, DOI 10.1177/0956247808089158
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bloomberg MR, 2010, ANN NY ACAD SCI, V1196, P1, DOI [10.1111/j.1749-6632.2009.05415.x, 10.1111/j.1749-6632.2009.05415_1.x]
   Brinkman J. J., 2009, Jakarta Flood Hazard Mapping Framework
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bulkeley H, 2014, TRANSN CLIM CHANG
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Burdett Rickey., 2007, The Endless City: The Urban Age Project by the London School of Economics and Deutsche Bank's Alfred Herrhausen Society
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Castells M., 1989, INFORMATIONAL CITY I
   Castells M., 2010, The Rise of the Network Society, DOI [10.1002/9781444319514, DOI 10.1002/9781444319514]
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Chu E, 2016, ENVIRON PLANN C, V34, P281, DOI 10.1177/0263774X15614174
   City of New York, 2007, PLAN GREEN GREAT NEW
   City of New York, 2011, PLAN GREEN GREAT NEW
   Connecting Delta Cities, 2014, IND OFF MEET EXP US
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Davoudi S., 2017, RESILIENCE MACHINE
   De Vriend HJ, 2012, BUILDING NATURE THIN
   Deltares, 2012, DEKT 20 STRAT PLAN 2
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Dodman D, 2010, INT DEV PLANN REV, V32, P1, DOI 10.3828/idpr.2009.10
   Dutch Water Sector, PROJ
   Dutch Water Sector, 2015, S KOR JOINS GIANT SE
   FRIEDMANN J, 1986, DEV CHANGE, V17, P69, DOI 10.1111/j.1467-7660.1986.tb00231.x
   Gerrits L, 2012, PLAN THEORY PRACT, V13, P336, DOI 10.1080/14649357.2012.669992
   Goh K, 2019, INT J URBAN REGIONAL, V43, P250, DOI 10.1111/1468-2427.12756
   Hodson M.Marvin., 2010, World cities and climate change: Producing urban ecological security
   HSRTF (Hurricane Sandy Rebuilding Task Force), 2013, HURRICANE SANDY REBU
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Indonesia Coordinating Ministry for Economic Affairs (MENKO), 2014, NAT CAP INT COAST DE
   Indonesia Ministry of Public Works, 2014, KERJ IND BEL BID AIR
   Indonesian Ministry of Public Works, 2011, JAK COAST DEF STRAT
   Jacobs JM, 2012, PROG HUM GEOG, V36, P412, DOI 10.1177/0309132511421715
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Khan MR, 2013, WIRES CLIM CHANGE, V4, P171, DOI 10.1002/wcc.212
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Kuks SMM, 2009, ISSUES WATER RESOURC, P155
   Malesevic Dusica S., 2014, DOWNTOWN EXPRES 1029
   Marshall T, 2014, PROG PLANN, V89, P1, DOI 10.1016/j.progress.2013.03.003
   Massey D., 2011, MOBILE URBANISM CITI, P1
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   Moser C, 2010, PRO POOR ADAPTATION
   Netherlands Government of, 2014, SPEAK NOT MEL SCHULT
   Netherlands Government of, 2014, NETH DOC PUBL SPEECH
   Netherlands Ministry of Economic Affairs (EZ), ENT POL DUTCH TOP SE
   NWP (Netherlands Water Partnership), WAT IS NWP NWP MEER
   NYS 2100 Commission, 2013, REC IMPR STRENGTH RE
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Peck J.Theodore., 2015, FAST POLICY EXPT STA
   Peck J, 2011, PROG HUM GEOG, V35, P773, DOI 10.1177/0309132510394010
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Reid Hannah, 2007, SUSTAINABLE DEV OPIN
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Rosenzweig C, 2015, ANN NY ACAD SCI, V1336, P1, DOI 10.1111/nyas.12626
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Rotterdam Climate Initiative, 2013, ROTT CLIM CHANG AD S
   Rotterdam Schieland and Krimpenerwaard Water Control Board Hollandse Delta Water Authority, 2007, ROTT WAT 2 WORK WAT
   Roy A, 2011, STUD URBAN SOC CH, P1, DOI 10.1002/9781444346800
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   Sassen Saskia., 2013, GLOBAL CITY NEW YORK, DOI DOI 10.2307/J.CTT2JC93Q
   Sherwell P., 2016, GUARDIAN
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   SRL (Superstorm Research Lab), 2013, TAL 2 SAND
   Stive Marcel, 2010, DELTA URBANISM NETHE, P20
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   United States HUD and Netherlands IenM, 2013, MEM UND DEP HOUS URB
   Urban Institute, 2014, EV REB DES PHAS 1
   Webber S, 2015, GEOGR RES-AUST, V53, P26, DOI 10.1111/1745-5871.12102
NR 85
TC 53
Z9 59
U1 3
U2 119
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 2020
VL 57
IS 11
SI SI
BP 2222
EP 2240
DI 10.1177/0042098018807306
PG 19
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA MR2RL
UT WOS:000553437500002
DA 2025-01-10
ER

PT J
AU Weber, E
AF Weber, Eberhard
TI Trade agreements, labour mobility and climate change in the Pacific
   Islands
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Pacific Islands; Labour migration
ID INTERNATIONAL MIGRATION; NEW-ZEALAND; POLICY; GUESTWORKERS; ADAPTATION;
   IMMIGRANTS; AUSTRALIA; SECURITY; CONTEXT; SYSTEM
AB The risks, pressures and threats on Small Island Developing States (SIDS) of the Pacific from climate change are often perceived by outsiders as overwhelming, both what is visible already now and what is predicted for the future. Particularly low-lying atoll countries are at risk of becoming uninhabitable. People in these islands may have to prepare for a life away from their homes and migrate to places where survival is feasible and where life in dignity is possible. The removal of obstacles to the mobility of people has been seen as an important step to economic and social development. Mobility helps to balance labour shortages, transfer skills and generate remittances. Successful mobility helps also to adapt to climate risks. Moving away means much more than just finding a country and a piece of land where one can settle. Livelihood, legal and social recognition and integration relate to dignity. From the perspective of receiving countries greater acceptance depends on migrants' skills and how easy they can integrate in labour markets and society. To facilitate this institutional changes as well as bi- and multilateral agreements are needed to enable concrete measures, but also to show political will and generate trust among the weakest in this challenge-the migrants. Recent negotiations concerning labour mobility, unskilled and skilled, temporary and permanent, do not relate directly to climate change adaptation. Favourable outcomes, however, can provide opportunities to SIDS in the Pacific that strengthen adaptive capacities.
C1 [Weber, Eberhard] Univ South Pacific, Sch Geog Earth Sci & Environm, Laucala Campus, Suva, Fiji.
C3 University of the South Pacific
RP Weber, E (corresponding author), Univ South Pacific, Sch Geog Earth Sci & Environm, Laucala Campus, Suva, Fiji.
EM weber_e@usp.ac.fj
CR ADB, 2008, SKILL PAC TECHN VOC
   [Anonymous], 2006, HOM AW EXP JOB OPP P
   [Anonymous], 2011, HUMAN SETTLEMENTS WO
   [Anonymous], 22 S PAC COMM
   [Anonymous], DEV STUDIES MONOGRAP
   [Anonymous], DEV POLICY REV
   [Anonymous], COMPENDIUM LEGISLATI
   [Anonymous], MAKING CASE PREFEREN
   [Anonymous], 1998, SUSTAINABLE LIVELIHO
   [Anonymous], GLOBALISATION GOVERN
   AusAID, 2013, LAB MOB IN IND PROGR
   Australian Government, 2015, DEP EMPL INF EMPL RE
   Barker J.C., 2000, Asia Pacific Viewpoint, V41, P191, DOI DOI 10.1111/1467-8373.00115
   울리히벡, 2014, Journal of Asian Sociology, V43, P169
   Bedford R, 2000, DISCUSSION PAPERS
   Benson M, 2016, MIGR STUD, V4, P20, DOI 10.1093/migration/mnv015
   Bertram G, 1999, CONTEMP PACIFIC, V11, P105
   BERTRAM G, 1986, WORLD DEV, V14, P809, DOI 10.1016/0305-750X(86)90033-1
   Bertram I. G  ..., 1985, Pacific Viewpoint, V26, P497, DOI DOI 10.1111/APV.263002
   BHAGWATI JN, 1984, EUR ECON REV, V26, P277, DOI 10.1016/0014-2921(84)90092-8
   Bhatia M, 2015, INT J CRIME JUSTICE, V4, P97, DOI 10.5204/ijcjsd.v4i3.245
   Booth H, 2006, WORKING PAPERS DEMOG, V102
   Borovnik Maria., 2006, ASIA PAC VIEWP, V47, P151, DOI DOI 10.1111/J.1467-8373.2006.00298.X
   Brickell K, 2011, TRANSLOCAL GEOGRAPHIES: SPACES, PLACES, CONNECTIONS, P1
   Chand S, 2006, 0608 AUSTR NAT U CRA
   Clegg P, 2014, ROUND TABLE, V103, P619, DOI DOI 10.1080/00358533.2014.986939
   Connell J, 1985, 4 S PAC COMM
   CONNELL J, 1992, ENV PLANNING CLIMATE
   Connell J, 2008, J ETHN MIGR STUD, V34, P1021, DOI 10.1080/13691830802211315
   Connell John., 2006, ROUND TABLE, V95, P47, DOI DOI 10.1080/00358530500379205
   Connell John., 2015, Migration and Development: Perspectives from Small States, P60
   Constable A, 2016, CLIMATE CHANGE MIGRA
   Núñez-Madrazo MC, 2007, ANTHROPOL WORK REV, V28, P1, DOI 10.1525/awr.2007.28.3.1
   Dawson LR, 2013, INT MIGR, V51, P1, DOI 10.1111/j.1468-2435.2012.00739.x
   de Haan A., 2000, 4 UK DEP INT DEV
   DEBRES J, 1975, INT LABOUR REV, V112, P445
   DiazBonilla E, 2006, WTO NEGOTIATIONS AND AGRICULTURAL TRADE LIBERALIZATION: THE EFFECT OF DEVELOPED COUNTRIES' POLICIES ON DEVELOPING COUNTRIES, P1
   Doyle I, 2014, SINKING ATOLL NATION
   Doyle J., 2015, Australias Seasonal Worker Program: Demand-Side Constraints and Suggested Reforms
   Duncan R, 2008, INT LABOUR ORG ASIA
   El-Hinnawi Essam., 1985, Environmental Refugees
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   ELWERT G, 1983, Z SOZIOL, V12, P281
   Evergeti Venetia., 2006, ETHNIC RACIAL STUD, V29, P1025
   Faist T, 2011, MIGRAT MINOR CITIZEN, P1
   Frayne B, 2004, GEOFORUM, V35, P489, DOI 10.1016/j.geoforum.2004.01.003
   Freitag Ulrike., 2009, TRANSLOCALITY STUDY
   Garip F, 2008, DEMOGRAPHY, V45, P591, DOI 10.1353/dem.0.0016
   Gathii JT, 2011, WASH LAW REV, V86, P421
   Gemenne F, 2011, GLOBAL ENVIRON CHANG, V21, pS41, DOI 10.1016/j.gloenvcha.2011.09.005
   GOLD H, 1982, WORLD TODAY, V38, P402
   Goss J, 2000, CONTEMP PACIFIC, V12, P385, DOI 10.1353/cp.2000.0053
   Government of Kiribati, 2016, EC OUTLOOK
   Greiner C, 2013, GEOGR COMPASS, V7, P373, DOI 10.1111/gec3.12048
   Greiner C, 2011, AFRICA, V81, P606, DOI 10.1017/S0001972011000477
   Griffith David, 2006, American Guestworker: Jamaicans and Mexicans in the U.S. Labor Market
   Grynberg R, 1998, WORKING PAPERS, V98
   Gupta S., 2008, Journal of International Commercial Law and Technology, V3, P260
   Hahamovitch C, 2003, LABOR HIST, V44, P69, DOI 10.1080/0023656032000057010
   Hay DJ, 2012, 17 AUSTR NAT U COLL
   Headley B, 2015, MIGRATION DEV PERSPE, P33
   Hedberg C, 2012, GEOJOURNAL LIB, V103, P125, DOI 10.1007/978-94-007-2315-3_8
   Heron T., 2012, GLOBAL POLITICAL EC
   Hills H.L., 1984, The International Lawyer, P583
   Hirvonen K, 2014, 77 CTR MIGR RES
   Howes S, 2014, PACER PLUS LAB MOBIL
   Huber J, 2000, EUROPEAN J INT LAW, V11, P427, DOI [10.1093/ejil/11.2.427, DOI 10.1093/EJIL/11.2.427]
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   Hugo G, 2016, MOBILITY MIGRATION C, P213
   Immigration New Zealand, 2015, REC SEAS EMPL CAP RA
   International Labour Organization (ILO), 2014, DEC WORK SOC JUST PA
   Islam MM, 2013, J DEV STUD, V49, P832, DOI 10.1080/00220388.2013.766719
   Jirattikorn, 2012, LIVING INTERSECTIONS, P213, DOI [10.1007/978-94-007-2966-7_11, DOI 10.1007/978-94-007-2966-7]
   Julca A, 2010, NAT HAZARDS, V55, P717, DOI 10.1007/s11069-009-9384-1
   Jupp J, 2007, FROM WHITE AUSTRALIA TO WOOMERA: THE STORY OF AUSTRALIAN IMMIGRATION, 2ND EDITION, P1, DOI 10.1017/CBO9780511720222
   Kagan S, 2015, INT LABOUR MIGRATION
   Kaloteraki L, 2015, THESIS
   Keshari PK, 1995, FOREIGN TRADE REV, V30, P78
   Klocker N., 2003, MEDIA INT AUST, P71, DOI [10.1177/1329878X0310900109, DOI 10.1177/1329878X0310900109]
   Larking E., 2014, REFUGEES MYTH HUMAN
   Lesage JP, 2012, GROWTH CHANGE, V43, P1, DOI 10.1111/j.1468-2257.2011.00575.x
   Liavaa S., 1998, THESIS
   Maclellan N, 2015, PACNEWS         0621
   MACPHERSON C, 1977, SOCIAL CLASS NZ
   Salvador AM, 2014, J INT TRADE LAW POLI, V13, P67, DOI 10.1108/JITLP-05-2013-0015
   Manservisi S, 2006, LEAKED LETT ECS FALK
   Marino E, 2015, HUM ORGAN, V74, P341, DOI 10.17730/0018-7259-74.4.341
   MARTIN PL, 1980, IND LABOR RELAT REV, V33, P315, DOI 10.2307/2522569
   Maslin M, 2013, GEOGR J, V179, P264, DOI 10.1111/j.1475-4959.2012.00494.x
   McDowell C, 1997, IDS WORKING PAPERS, V67
   McKay FH, 2011, JOURNALISM, V12, P607, DOI 10.1177/1464884911408219
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Meert H, 2000, SOCIOL RURALIS, V40, P319, DOI 10.1111/1467-9523.00151
   Mitsilegas V., 2015, CRIMINALISATION MIGR
   Mohanty Manoranjan., 2006, Migration Happens: Reasons, Effects and Opportunities of Migration in the South Pacific, P151
   Morgan W, 2014, ASIA PAC POLICY STU, V1, P325, DOI 10.1002/app5.34
   MSG (Melanesian Spearhead Group), 2012, MSG SKILLS MOVEMENT
   Nasir S, 2014, MODERN SERVICES EXPO
   NEUBERT D, 1986, Z SOZIOL, V15, P246
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   O'Brien LK, 2013, THESIS
   ONGLEY P, 1995, INT MIGR REV, V29, P765, DOI 10.2307/2547504
   Pacific Institute of Public Policy, 2010, 16 PAC I PUBL POL
   Panizzon M, 2010, 7 U OXF CTR MIGR POL
   Rinne U, 2012, IZA J LABOR POLICY, V1, DOI 10.1186/2193-9004-1-3
   Saxton A., 2003, Media International Australia incorporating culture and policy, V109, P109, DOI [10.1177/1329878X0310900111, DOI 10.1177/1329878X0310900111]
   Schuster L, 2011, ETHNIC RACIAL STUD, V34, P1392, DOI 10.1080/01419870.2010.535550
   Scollay R., 2005, Substantially All Trade: Which Definitions Are Fulfilled in Practice? An Empirical Investigation
   Scoones I., 1998, 72 IDS
   Secretariat of the Pacific Community (SPC), 2015, POCK STAT SUMM 2015
   Siles-Brügge G, 2014, CONTEMP POLIT, V20, P49, DOI 10.1080/13569775.2014.881604
   Simon RJ, 1999, INT MIGR REV, V33, P455, DOI 10.2307/2547704
   Smith R, 2015, CLIM DEV, V7, P47, DOI 10.1080/17565529.2014.900603
   Spoonley P, 1990, LABOUR S PACIFIC, P155
   Storlazzi CD, 2015, SCI REP-UK, V5, DOI 10.1038/srep14546
   Tarte S, 2014, ASIA PAC POLICY STU, V1, P312, DOI 10.1002/app5.27
   Taylor Savitri., 2005, ASIA PACIFIC LAW POL, V6, P1
   Truong T., 2011, Transnational Migration, Development and Human Security, P1, DOI DOI 10.1007/978-3-642-12757-1
   United Nations Department of Economic and Social Affairs, 2016, INT MIGR STOCK 2015
   Upadhyay H, 2015, INT J CLIM CHANG STR, V7, P394, DOI 10.1108/IJCCSM-05-2014-0058
   Van Houte M., 2014, NEW DIVERSITIES, V16, P71
   Walsh AC, 1982, MIGRATION UBRANIZATI
   Ward M., 1971, The role of investment in the development of Fiji
   WARD RG, 1989, GEOGR J, V155, P235, DOI 10.2307/635065
   Weber E., 2015, Environment and Ecology Research, V3, P96
   Weber E, 2015, BANDUNG, V2, P1
   Weber E., 2012, J PACIFIC STUDIES, V32, P99
   Weber E, 2014, GLOB MIGRAT ISS, V3, P119, DOI 10.1007/978-94-017-9023-9_6
   Weisser F, 2014, GEOGR J, V180, P111, DOI 10.1111/geoj.12037
   Woolcock S, 2014, CONTEMP POLIT, V20, P36, DOI 10.1080/13569775.2014.881603
   Yila O, 2013, COMM ENV DISAST RISK, V14, P79, DOI 10.1108/S2040-7262(2013)0000014010
NR 131
TC 5
Z9 6
U1 2
U2 24
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD APR
PY 2017
VL 17
IS 4
SI SI
BP 1089
EP 1101
DI 10.1007/s10113-016-1047-7
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ES6ZO
UT WOS:000399699500012
DA 2025-01-10
ER

PT J
AU Hepburn, C
   Müller, B
AF Hepburn, Cameron
   Mueller, Benito
TI International Air Travel and Greenhouse Gas Emissions: A Proposal for an
   Adaptation Levy1
SO WORLD ECONOMY
LA English
DT Article
ID QUANTITIES; TAXATION; DEMAND; PRICES
AB (1287) Cameron Hepburn and Benito Muller Greenhouse gas emissions from international aviation services have been increasing rapidly and are likely to continue to do so in the absence of major policy changes. At the same time, while all countries will experience impacts from climate change, developing countries are the most vulnerable. Significant financial assistance for adaptation is therefore needed for developing countries, but current proposals are inadequate. Solutions to the challenges of both aviation greenhouse gas emissions and climate change adaptation finance are thus urgently required. This paper proposes an international air travel adaptation levy that addresses both problems.
C1 [Hepburn, Cameron; Mueller, Benito] Univ Oxford, Oxford OX1 2JD, England.
C3 University of Oxford
RP Hepburn, C (corresponding author), Univ Oxford, Oxford OX1 2JD, England.
OI Hepburn, Cameron/0000-0003-0467-7441
FU ESRC [ES/G021694/1] Funding Source: UKRI
CR AGARWAL A, 1999, GLOB ENV NEG, V1
   Air Transport Action Group, 2005, EC SOC BEN AIR TRANS
   ANDERSON JE, 1981, REV ECON STAT, V63, P533, DOI 10.2307/1935849
   [Anonymous], CLEAN EN DEV INV FRA
   [Anonymous], 2007, EC CLIMATE
   [Anonymous], AV GLOB ATM
   Chambwera Muyeye., 2008, Fairer flying: an international air travel levy for adaptation
   DIAMOND PA, 1971, AM ECON REV, V61, P8
   Diamond PeterA., 1975, Journal of Public Economics, V4, P335, DOI 10.1016/0047-2727(75)90009-2
   DIETZ S, 2010, NONMARGINAL COSTBENE
   *EUR PARL, 2006, A602012006 EUR PARL
   European Commission, 2005, RED CLIM CHANG IMP A
   Fankhauser S, 2010, ENERG POLICY, V38, P4381, DOI 10.1016/j.enpol.2010.03.066
   FRANCKI RIB, 1985, ATLAS PLANT VIRUSES, V1, P101
   *FRENCH GOV, 2006, SOL GLOB INN FIN DEV
   Gillen D., 2002, Air Travel Demand Elasticities: Concepts, Issues and Measurement
   Hepburn C, 2006, OXFORD REV ECON POL, V22, P226, DOI 10.1093/oxrep/grj014
   Hepburn C, 2006, CLIM POLICY, V6, P137
   *HM TREAS, 2009, NOT 550 AIR PASS DUT
   *HOUS LORDS EUR UN, 2006, INCL AV SECT EUR UN
   LANDAU J.P., 2004, RAPPORT MONSIEUR JAC
   MULLER B, 2009, INT AIR PASSEN UNPUB
   Pigou A. C., 1920, The economics of wel- fare
   Ramsey FP, 1927, ECON J, V37, P47, DOI 10.2307/2222721
   Sausen R, 2005, METEOROL Z, V14, P555, DOI 10.1127/0941-2948/2005/0049
   Saynor B., 2003, The Potential for Renewable Energy Sources in aviation
   TAPLIN JHE, 1980, J TRANSP ECON POLICY, V14, P19
   VERLEGER PK, 1972, BELL J ECON, V3, P437, DOI 10.2307/3003032
   WEITZMAN ML, 1974, REV ECON STUD, V41, P477, DOI 10.2307/2296698
   2006, BBC             0207
NR 30
TC 9
Z9 9
U1 2
U2 14
PU WILEY-BLACKWELL
PI MALDEN
PA COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
SN 0378-5920
J9 WORLD ECON
JI World Econ.
PD JUN
PY 2010
VL 33
IS 6
BP 830
EP 849
DI 10.1111/j.1467-9701.2010.01287.x
PG 20
WC Business, Finance; Economics; International Relations
WE Social Science Citation Index (SSCI)
SC Business & Economics; International Relations
GA 604ZL
UT WOS:000278316900004
DA 2025-01-10
ER

PT J
AU Liu, ZP
   Yan, JZ
   Dong, HW
   Zhang, QQ
   Zhang, SH
AF Liu, Zhaopu
   Yan, Jianzhong
   Dong, Hongwei
   Zhang, Qianqian
   Zhang, Shihe
TI The impact of policy measures on livelihood diversification of
   smallholders: empirical evidence from the Tibetan Plateau, China
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Livelihood diversification; Policy measures; Climate risk; Tibetan
   Plateau
ID CLIMATE-CHANGE; DETERMINANTS; STRATEGIES; ADAPTATION; FARMERS;
   AGRICULTURE; HOUSEHOLDS; CAPITALS; INSIGHTS; AFRICA
AB Livelihood diversification is a livelihood strategy commonly used by smallholders to cope with climate risk. However, despite the implementation of policy measures, there remains a research gap regarding whether smallholders will continue to adopt livelihood diversification strategies in response to climate risk. To fill this gap, this study used 1,193 smallholder questionnaires collected from the Hehuang Valley (HV) and Pumqu River Basin (PRB) on the Tibetan Plateau (TP), employing the Tobit model to examine the impact of policy measures on smallholder livelihood diversification. The results show that policy measures have had a negative impact on smallholder livelihood diversification and that government-constructed irrigation facilities and low-interest loans can effectively help smallholders cope with climate risk while reducing livelihood activity diversification, a conclusion that remains robust across different income groups. Furthermore, borrowing from relatives positively impacts smallholder livelihood diversification, whereas per capita arable land and altitude exert negative influences. In the HV, vehicles and leadership skills enhance diversification, whereas in the PRB, arable land per capita and distance to markets foster diversification, whereas distance to roads hampers diversification. The findings of this study highlight the importance of understanding the interactions between policy measures and smallholder adaptation strategies and providing valuable insights for policymakers in designing targeted interventions that promote rural development and support smallholders in adapting to climate change.
C1 [Liu, Zhaopu; Yan, Jianzhong; Dong, Hongwei; Zhang, Qianqian; Zhang, Shihe] Southwest Univ, Coll Resources & Environm, 2 Tiansheng Rd, Chongqing 400715, Peoples R China.
C3 Southwest University - China
RP Yan, JZ (corresponding author), Southwest Univ, Coll Resources & Environm, 2 Tiansheng Rd, Chongqing 400715, Peoples R China.
EM yanjzswu@126.com
RI Liu, Zhaopu/JJF-3134-2023; Dong, Hongwei/HPE-9318-2023
OI Liu, Zhaopu/0009-0006-5998-9513
FU Second Tibetan Plateau Scientific Expedition and Research Program
   [2019QZKK0603]; National Natural Science Foundation of China [42171098]
FX This work was supported by the Second Tibetan Plateau Scientific
   Expedition and Research Program (No. 2019QZKK0603) and the National
   Natural Science Foundation of China (No. 42171098).
CR Ali S, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125250
   Nguyen AT, 2020, ENVIRON DEV SUSTAIN, V22, P5387, DOI 10.1007/s10668-019-00429-x
   Anbacha AE, 2021, RANGELAND ECOL MANAG, V79, P1, DOI 10.1016/j.rama.2021.06.006
   Asfaw SE, 2015, Livelihood Diversification and Vulnerability to Poverty in Rural Malawi
   Asravor RK, 2018, J INT DEV, V30, P1318, DOI 10.1002/jid.3330
   Avila-Foucat VS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011371
   Ayana GF, 2022, GEOJOURNAL, V87, P2525, DOI 10.1007/s10708-021-10379-5
   Baird TD, 2017, LAND USE POLICY, V67, P460, DOI 10.1016/j.landusepol.2017.05.031
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Bellon MR, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104682
   Berhanu AA, 2024, CLIM SERV, V35, DOI 10.1016/j.cliser.2024.100509
   Brown C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205756
   Caulfield ME, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.724492
   Dagunga G, 2020, WORLD DEV PERSPECT, V20, DOI 10.1016/j.wdp.2020.100264
   Danso-Abbeam G, 2024, NAT HAZARDS, V120, P8931, DOI 10.1007/s11069-024-06561-w
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DFID U.K., 1999, Sustainable livelihoods guidance sheets, P445, DOI DOI 10.1016/j.socscimed.2004.01.021
   Nguyen DL, 2023, ECON CHANG RESTRUCT, V56, P3223, DOI 10.1007/s10644-022-09400-9
   Ellis F, 2000, J AGR ECON, V51, P289, DOI 10.1111/j.1477-9552.2000.tb01229.x
   Gao BY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610445
   Gautam Y, 2016, J RURAL STUD, V44, P239, DOI 10.1016/j.jrurstud.2016.02.001
   Habib N, 2023, ENVIRON SCI POLLUT R, V30, P69882, DOI 10.1007/s11356-023-27638-2
   Haggblade S, 2010, WORLD DEV, V38, P1429, DOI 10.1016/j.worlddev.2009.06.008
   Hague CE, 2015, MAR POLICY, V51, P401, DOI 10.1016/j.marpol.2014.10.002
   He XJ, 2022, J CLEAN PROD, V381, DOI 10.1016/j.jclepro.2022.135171
   He XJ, 2022, J RURAL STUD, V95, P544, DOI 10.1016/j.jrurstud.2022.10.003
   Hegazi F, 2024, J RURAL STUD, V109, DOI 10.1016/j.jrurstud.2024.103321
   Hoque MZ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224552
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hua XB, 2017, ECOL INDIC, V78, P62, DOI 10.1016/j.ecolind.2017.03.009
   Jafino BA, 2021, NAT CLIM CHANGE, V11, P394, DOI 10.1038/s41558-021-01030-9
   Khan NA, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e28003
   Kuang FY, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104228
   Li Q, 2016, CATENA, V147, P789, DOI 10.1016/j.catena.2016.09.005
   Li Z, 2022, AGRONOMY-BASEL, V12
   Liu MC, 2021, J ENVIRON MANAGE, V287, DOI 10.1016/j.jenvman.2021.112339
   Liu YS, 2017, NATURE, V548, P275, DOI 10.1038/548275a
   Liu YJ, 2022, LAND USE POLICY, V115, DOI 10.1016/j.landusepol.2022.106018
   Loison SA, 2019, J RURAL STUD, V69, P156, DOI 10.1016/j.jrurstud.2019.03.001
   Loison SA, 2015, J DEV STUD, V51, P1125, DOI 10.1080/00220388.2015.1046445
   Mahama TAK, 2021, SCI AFR, V13, DOI 10.1016/j.sciaf.2021.e00858
   Makate C, 2023, ECOL ECON, V205, DOI 10.1016/j.ecolecon.2022.107736
   Marinus W, 2023, AGRON SUSTAIN DEV, V43, DOI 10.1007/s13593-023-00893-w
   Martin SM, 2016, WORLD DEV, V83, P231, DOI 10.1016/j.worlddev.2016.01.018
   Mohammed K, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-03034-y
   Mudzielwana RVA, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111866
   Musumba M, 2022, AGR ECON-BLACKWELL, V53, P246, DOI 10.1111/agec.12694
   Núñez APB, 2023, LAND USE POLICY, V131, DOI 10.1016/j.landusepol.2023.106731
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Peng WJ, 2022, J CLEAN PROD, V380, DOI 10.1016/j.jclepro.2022.135193
   Peng WJ, 2022, ENVIRON DEV, V43, DOI 10.1016/j.envdev.2022.100736
   Peng YC, 2021, J CLEAN PROD, V328, DOI 10.1016/j.jclepro.2021.129607
   Qiu HG, 2022, J RURAL STUD, V95, P26, DOI 10.1016/j.jrurstud.2022.07.008
   Qiu J, 2008, NATURE, V454, P393, DOI 10.1038/454393a
   Rahman S, 2014, J S ASIAN DEV, V9, P287, DOI 10.1177/0973174114549101
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Shaffril HAM, 2019, J CLEAN PROD, V232, P104, DOI 10.1016/j.jclepro.2019.05.262
   Shah AA, 2021, ENVIRON SCI POLLUT R, V28, P40844, DOI 10.1007/s11356-021-13598-y
   Shrestha S, 2016, MITIG ADAPT STRAT GL, V21, P15, DOI 10.1007/s11027-014-9567-2
   Avila-Foucat VS, 2018, TOURISM MANAGE, V69, P223, DOI 10.1016/j.tourman.2018.06.021
   Tacconi F, 2023, GLOB FOOD SECUR-AGR, V38, DOI 10.1016/j.gfs.2023.100706
   vila-Foucat VS., 2021, Determinants of Livelihood diversification
   Wagale M, 2020, GEOJOURNAL, V85, P961, DOI 10.1007/s10708-019-10007-3
   Wang MY, 2021, LAND-BASEL, V10, DOI 10.3390/land10070763
   Wang P, 2019, ECOL INDIC, V101, P1055, DOI 10.1016/j.ecolind.2019.02.007
   Wang T, 2020, A Comparative Study of Two Regions of the Tibetan Plateau
   Wang YT, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111351
   Wu N, 2014, J MT SCI-ENGL, V11, P1342, DOI 10.1007/s11629-014-3038-9
   Wu ZL, 2017, LAND USE POLICY, V62, P361, DOI 10.1016/j.landusepol.2017.01.009
   Yan JZ, 2010, J GEOGR SCI, V20, P757, DOI 10.1007/s11442-010-0809-2
   Yang L, 2022, INT J AGR SUSTAIN, V20, P302, DOI 10.1080/14735903.2021.1930443
   Yang L, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105329
   Yang L, 2019, LAND USE POLICY, V86, P208, DOI 10.1016/j.landusepol.2019.04.030
   Yang L, 2018, INT J AGR SUSTAIN, V16, P455, DOI 10.1080/14735903.2018.1537669
   Yaro JA, 2006, J MOD AFR STUD, V44, P125, DOI 10.1017/S0022278X05001448
   Yeom DJ, 2011, FOR SCI TECHNOL, V7, P68, DOI 10.1080/21580103.2011.573940
   Yu Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116208
   Zhang YH, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-05093-4
   Zhang YH, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105928
   Zhou HJ, 2014, MITIG ADAPT STRAT GL, V19, P375, DOI 10.1007/s11027-012-9438-7
NR 81
TC 0
Z9 0
U1 4
U2 4
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 85
DI 10.1007/s11027-024-10182-w
PG 29
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA M9D6S
UT WOS:001360468600001
DA 2025-01-10
ER

PT J
AU Perretta, M
   Delogu, G
   Funsten, C
   Patriarca, A
   Caputi, E
   Boccia, L
AF Perretta, Miriam
   Delogu, Gabriele
   Funsten, Cassandra
   Patriarca, Alessio
   Caputi, Eros
   Boccia, Lorenzo
TI Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data: A
   Case Study Classifying Urban Trees in Naples, Italy
SO REMOTE SENSING
LA English
DT Article
DE PRISMA; hyperspectral data; pansharpening; data enhancement; spatial
   resolution; geospatial analysis; urban tree classification; biodiversity
   monitoring
ID SPATIAL-RESOLUTION ENHANCEMENT; SPECIES CLASSIFICATION; BIODIVERSITY;
   CHALLENGES; FUSION; HEALTH
AB Urban trees support vital ecological functions and help with the mitigation of and adaption to climate change. Yet, their monitoring and management require significant public resources. remote sensing could facilitate these tasks. Recent hyperspectral satellite programs such as PRISMA have enabled more advanced remote sensing applications, such as species classification. However, PRISMA data's spatial resolution (30 m) could limit its utility in urban areas. Improving hyperspectral data resolution with pansharpening using the PRISMA coregistered panchromatic band (spatial resolution of 5 m) could solve this problem. This study addresses the need to improve hyperspectral data resolution and tests the pansharpening method by classifying exemplative urban tree species in Naples (Italy) using a convolutional neural network and a ground truths dataset, with the aim of comparing results from the original 30 m data to data refined to a 5 m resolution. An evaluation of accuracy metrics shows that pansharpening improves classification quality in dense urban areas with complex topography. In fact, pansharpened data led to significantly higher accuracy for all the examined species. Specifically, the Pinus pinea and Tilia x europaea classes showed an increase of 10% to 20% in their F1 scores. Pansharpening is seen as a practical solution to enhance PRISMA data usability in urban environments.
C1 [Perretta, Miriam; Funsten, Cassandra; Boccia, Lorenzo] Univ Naples Federico II, Dept Architecture, Via Forno Vecchio 36, I-80134 Naples, Italy.
   [Perretta, Miriam; Boccia, Lorenzo] Natl Biodivers Future Ctr, NBFC, I-90133 Palermo, Italy.
   [Delogu, Gabriele; Caputi, Eros] Tuscia Univ, Dept Econ Engn Soc & Business Org DEIM, Via Paradiso 47, I-01100 Viterbo, Italy.
   [Delogu, Gabriele; Patriarca, Alessio; Caputi, Eros] Tuscia Univ, Dept Agr & Forestry Sci DAFNE, Via S Camillo de Lellis, I-01100 Viterbo, Italy.
C3 University of Naples Federico II; Tuscia University; Tuscia University
RP Boccia, L (corresponding author), Univ Naples Federico II, Dept Architecture, Via Forno Vecchio 36, I-80134 Naples, Italy.; Boccia, L (corresponding author), Natl Biodivers Future Ctr, NBFC, I-90133 Palermo, Italy.
EM miriam.perretta@unina.it; gabriele.delogu@unitus.it;
   cassandracarroll.funsten@unina.it; alessio.patriarca@unitus.it;
   eros.caputi@unitus.it; lorenzo.boccia@unina.it
RI Funsten, Cassandra/KYQ-6621-2024; Boccia, Lorenzo/A-8827-2013
OI Perretta, Miriam/0009-0009-7671-9904; Caputi, Eros/0009-0000-5995-7374;
   Funsten, Cassandra Carroll/0000-0003-4443-8322; Boccia,
   Lorenzo/0000-0001-7993-9480; Delogu, Gabriele/0009-0009-8642-9468;
   Patriarca, Alessio/0000-0003-3387-5877
FU National Recovery and Resilience Plan (NRRP); National Biodiversity
   Future Center; National Recovery and Resilience Plan (NRRP), Mission 4,
   Component 2 [3138, 3175]; European Union [CN_00000033, 1034]; University
   and Research, CUP [H43C22000530001, CUP J83C20001990005]; Ministry of
   University; DAFNE Project [2023-27, D.I.Ver.So]
FX This paper is part of the National Biodiversity Future Center (NBFC)
   project, funded under the National Recovery and Resilience Plan (NRRP).
   This project's study area includes some sampling areas that have been
   studied as part of the NBFC Spoke 5: Activity 5 "Impacts of land use and
   forestry actions on supporting regulating ecosystem services: biological
   level"; task 5.1 "Plant Reproduction in the urban environment". This
   research was funded under the National Recovery and Resilience Plan
   (NRRP), Mission 4, Component 2, Investment 1.4-Call for tender No. 3138
   of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of
   the Italian Ministry of University and Research funded by the European
   Union-NextGenerationEU. Award Number: Project code CN_00000033,
   Concession Decree No. 1034 of 17 June 2022, adopted by the Italian
   Ministry of University and Research, CUP, H43C22000530001, project title
   "National Biodiversity Future Center-NBFC" (M.P., L.B.); the research
   was also partially funded by Project PRIN 2020, Sector ERC LS9 Call 2020
   Prot. 2020 EMLWTN, CUP J83C20001990005 (G.D., E.C.); the research was
   carried out within the framework of the Ministry of University and
   Research (MUR) initiative "Departments of Excellence" (Law 232/2016),
   DIARC Project: "Habit-Inhabiting the Transition for rural constructions
   and agro-forestry territory" (C.F.) and DAFNE Project 2023-27: "Digital,
   Intelligent, Green and Sustainable (D.I.Ver.So)" (A.P.).
CR Acito N, 2022, IEEE J-STARS, V15, P62, DOI 10.1109/JSTARS.2021.3132135
   Alonzo M, 2014, REMOTE SENS ENVIRON, V148, P70, DOI 10.1016/j.rse.2014.03.018
   Alparone L., 2015, Remote Sensing Image Fusion, P178
   Alparone L, 2024, IEEE J-STARS, V17, P10956, DOI 10.1109/JSTARS.2024.3406762
   [Anonymous], 2013, GU General Series
   [Anonymous], 2017, New Urban Agenda: H III: Habitat III: Quito 17-20 October 2016
   Casalegno S, 2017, SCI REP-UK, V7, DOI 10.1038/srep45571
   Casavecchia S., 2020, The First Outstanding 50 Years of Universit Politecnica delle Marche: Research Achievements in Life Sciences, P483
   Cena H, 2024, LANCET, V403, P1985, DOI 10.1016/S0140-6736(24)00292-7
   Cogliati S, 2021, REMOTE SENS ENVIRON, V262, DOI 10.1016/j.rse.2021.112499
   Comune di Napoli, Bilancio Arboreo e Gestione del Verde Della Citta di Napoli
   Comune di Napoli, Manutenzione del Verde ed Igiene Della Citta
   Congalton RG, 2001, INT J WILDLAND FIRE, V10, P321, DOI 10.1071/WF01031
   CREA Giornata Internazionale Delle Foreste, Verso l'Inventario Nazionale 2025-Giornata Internazionale Delle Foreste: Verso l'Inventario Nazionale 2025-CREA
   Dalponte M, 2012, REMOTE SENS ENVIRON, V123, P258, DOI 10.1016/j.rse.2012.03.013
   De Luca G, 2024, ISPRS J PHOTOGRAMM, V215, P112, DOI 10.1016/j.isprsjprs.2024.07.003
   Delogu G, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813786
   Dian YY, 2016, J INDIAN SOC REMOTE, V44, P595, DOI 10.1007/s12524-015-0543-4
   Fabbrini F, 2022, J MOD ITAL STUD, V27, P658, DOI 10.1080/1354571X.2022.2124672
   Fassnacht FE, 2016, REMOTE SENS ENVIRON, V186, P64, DOI 10.1016/j.rse.2016.08.013
   Filchev L, 2014, AEROSP RES BULG, V26, P191
   Fu JW, 2022, FRONT ARCHIT RES, V11, P466, DOI 10.1016/j.foar.2021.12.005
   Galeazzi C., 2009, P 6 EARSEL IM SPECTR, P10
   Ghasemi N, 2024, Arxiv, DOI arXiv:2404.06526
   Giacomo C, 2020, INT GEOSCI REMOTE SE, P3282, DOI 10.1109/IGARSS39084.2020.9323301
   Gouldson A, 2016, CITIES, V54, P11, DOI 10.1016/j.cities.2015.10.010
   Grandini M, 2020, Arxiv, DOI arXiv:2008.05756
   Guanter L, 2015, REMOTE SENS-BASEL, V7, P8830, DOI 10.3390/rs70708830
   Hu W, 2015, J SENSORS, V2015, DOI 10.1155/2015/258619
   ISPRA Uso Del Suolo, 2021, Uso, Copertura e Consumo Di Suolo
   Jena B, 2021, COMPUT BIOL MED, V137, DOI 10.1016/j.compbiomed.2021.104803
   Laino E, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113587
   LARP Larp, Unina/PrismaTool
   Li J., 2021, Satellite Remote Sensing Technologies
   Lou C, 2024, GEO-SPAT INF SCI, DOI 10.1080/10095020.2024.2332638
   Ma L, 2019, ISPRS J PHOTOGRAMM, V152, P166, DOI 10.1016/j.isprsjprs.2019.04.015
   Malkoç E, 2024, INT J APPL EARTH OBS, V132, DOI 10.1016/j.jag.2024.103997
   Morin E, 2022, ECOL INDIC, V139, DOI 10.1016/j.ecolind.2022.108930
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Naidu Gireen, 2023, Artificial Intelligence Application in Networks and Systems: Proceedings of 12th Computer Science On-line Conference 2023. Lecture Notes in Networks and Systems (724), P15, DOI 10.1007/978-3-031-35314-7_2
   Nowak DJ, 2014, ENVIRON POLLUT, V193, P119, DOI 10.1016/j.envpol.2014.05.028
   Palsson B, 2018, IEEE ACCESS, V6, P25646, DOI 10.1109/ACCESS.2018.2818280
   Perko R., 2018, AM J REMOTE SENS, V6, P89
   Pretzsch H, 2023, TREES-STRUCT FUNCT, V37, P177, DOI 10.1007/s00468-021-02100-3
   Qian SE, 2021, IEEE J-STARS, V14, P7032, DOI 10.1109/JSTARS.2021.3090256
   Rosentreter J, 2017, IEEE J-STARS, V10, P1938, DOI 10.1109/JSTARS.2017.2652726
   Rossi L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031684
   Shaik RU, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051378
   Signoroni A, 2019, J IMAGING, V5, DOI 10.3390/jimaging5050052
   Sothe C, 2020, GISCI REMOTE SENS, V57, P369, DOI 10.1080/15481603.2020.1712102
   Storch T, 2023, REMOTE SENS ENVIRON, V294, DOI 10.1016/j.rse.2023.113632
   Tanoori G, 2024, J URBAN PLAN DEV, V150, DOI 10.1061/JUPDDM.UPENG-5010
   Thompson E., 2021, The Economic Footprint and Quality-of-Life Benefits of Urban Forestry in the United States, P1
   United Nations Economic Commission for Europe, 2021, Sustainable Urban and Peri-Urban Forestry: An Integrative and Inclusive Nature-Based Solution for Green Recovery and Sustainable, Healthy and Resilient Cities, P1
   Valeri S, 2021, LAND-BASEL, V10, DOI 10.3390/land10080807
   Vangi E, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21041182
   Verde S, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16052179
   Vihervaara P, 2017, GLOB ECOL CONSERV, V10, P43, DOI 10.1016/j.gecco.2017.01.007
NR 58
TC 1
Z9 1
U1 5
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD OCT
PY 2024
VL 16
IS 19
AR 3730
DI 10.3390/rs16193730
PG 19
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 I8Q4Q
UT WOS:001332845200001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, XJA
   Han, S
   Frey, SD
   Melillo, JM
   Zhou, JZ
   Deangelis, KM
AF Liu, Xiao Jun A.
   Han, Shun
   Frey, Serita D.
   Melillo, Jerry M.
   Zhou, Jizhong
   Deangelis, Kristen M.
TI Microbial responses to long-term warming differ across soil
   microenvironments
SO ISME COMMUNICATIONS
LA English
DT Article
DE carbon storage and sequestration; bacterial necromass; substrate
   accessibility; biogeochemical cycles; soil aggregation; microbial
   evolution; organic matter decomposition; functional genomics;
   degradation enzymes; plant soil interactions
ID ORGANIC-MATTER DECOMPOSITION; BACTERIAL COMMUNITY; CARBON FLUX; GENE;
   AVAILABILITY; TEMPERATURE; MAGNITUDE; DIVERSITY; DATABASE; REVEALS
AB Soil carbon loss is likely to increase due to climate warming, but microbiomes and microenvironments may dampen this effect. In a 30-year warming experiment, physical protection within soil aggregates affected the thermal responses of soil microbiomes and carbon dynamics. In this study, we combined metagenomic analysis with physical characterization of soil aggregates to explore mechanisms by which microbial communities respond to climate warming across different soil microenvironments. Long-term warming decreased the relative abundances of genes involved in degrading labile compounds (e.g. cellulose), but increased those genes involved in degrading recalcitrant compounds (e.g. lignin) across aggregate sizes. These changes were observed in most phyla of bacteria, especially for Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, and Planctomycetes. Microbial community composition was considerably altered by warming, leading to declined diversity for bacteria and fungi but not for archaea. Microbial functional genes, diversity, and community composition differed between macroaggregates and microaggregates, indicating the essential role of physical protection in controlling microbial community dynamics. Our findings suggest that microbes have the capacity to employ various strategies to acclimate or adapt to climate change (e.g. warming, heat stress) by shifting functional gene abundances and community structures in varying microenvironments, as regulated by soil physical protection.
C1 [Liu, Xiao Jun A.; Deangelis, Kristen M.] Univ Massachusetts, Dept Microbiol, 639 N Pleasant St, Amherst, MA 01003 USA.
   [Liu, Xiao Jun A.; Han, Shun] Univ Oklahoma, Inst Environm Genom, 101 David Boren Blvd, Norman, OK 73019 USA.
   [Liu, Xiao Jun A.; Zhou, Jizhong] Univ Oklahoma, Sch Biol Sci, Norman, OK 73019 USA.
   [Frey, Serita D.] Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA.
   [Melillo, Jerry M.] Marine Biol Lab, Ecosyst Ctr, Woods Hole, MA 02543 USA.
   [Zhou, Jizhong] Lawrence Berkeley Natl Lab, Earth & Environm Sci, Berkeley, CA 94720 USA.
   [Zhou, Jizhong] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA.
   [Zhou, Jizhong] Univ Oklahoma, Sch Comp Sci, Norman, OK 73019 USA.
C3 University of Massachusetts System; University of Massachusetts Amherst;
   University of Oklahoma System; University of Oklahoma - Norman;
   University of Oklahoma System; University of Oklahoma - Norman;
   University System Of New Hampshire; University of New Hampshire; Marine
   Biological Laboratory - Woods Hole; United States Department of Energy
   (DOE); Lawrence Berkeley National Laboratory; University of Oklahoma
   System; University of Oklahoma - Norman; University of Oklahoma System;
   University of Oklahoma - Norman
RP Liu, XJA; Deangelis, KM (corresponding author), Univ Massachusetts, Dept Microbiol, 639 N Pleasant St, Amherst, MA 01003 USA.; Liu, XJA (corresponding author), Univ Oklahoma, Inst Environm Genom, 101 David Boren Blvd, Norman, OK 73019 USA.
EM xj.allen.liu@gmail.com; deangelis@microbio.umass.edu
RI Liu, Xiao-Jun Allen/E-8825-2012; Zhou, Jizhong/ACC-8029-2022; Frey,
   Serita/Y-3397-2019; Sun, Haipeng/AAM-4474-2021; DeAngelis,
   Kristen/C-2531-2008
OI Liu, Xiao Jun Allen/0000-0002-0488-8591
FU JGI Community Science Program [JGI-CSP-503736]; DOE Terrestrial
   Ecosystem Science Program grant [DEFOA0001437]; DOE Genomic Science
   Program grant [DE-SC0022996]; NSF Long-Term Research in Environmental
   Biology grant [DEB-1456610]; NSF Long-Term Ecological Research Program
   [DEB-1832110]; U.S. Department of Energy (DOE) [DE-SC0022996] Funding
   Source: U.S. Department of Energy (DOE)
FX The research was supported by a JGI Community Science Program awarded to
   X.J.A.L. and K.M.D. (JGI-CSP-503736), by a DOE Terrestrial Ecosystem
   Science Program grant (DEFOA0001437) and a DOE Genomic Science Program
   grant (DE-SC0022996) to K.M.D., and a NSF Long-Term Research in
   Environmental Biology grant (DEB-1456610) to S.D.F., K.M.D., and J.M.M.
   The Prospect Hill Soil Warming Study at Harvard Forest is maintained
   with support from the NSF Long-Term Ecological Research Program
   (DEB-1832110).
CR Allison SD, 2010, NAT GEOSCI, V3, P336, DOI 10.1038/NGEO846
   Anthony MA, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2021.000059
   Bach EM, 2018, SOIL BIOL BIOCHEM, V118, P217, DOI 10.1016/j.soilbio.2017.12.018
   Bach EM, 2014, SOIL BIOL BIOCHEM, V69, P54, DOI 10.1016/j.soilbio.2013.10.033
   Bahram M, 2018, NATURE, V560, P233, DOI 10.1038/s41586-018-0386-6
   Bailey VL, 2013, ISME J, V7, P2044, DOI 10.1038/ismej.2013.87
   Bailey VL, 2013, SOIL BIOL BIOCHEM, V65, P60, DOI 10.1016/j.soilbio.2013.02.005
   Banerjee S, 2016, SOIL BIOL BIOCHEM, V97, P188, DOI 10.1016/j.soilbio.2016.03.017
   Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
   Berg MP, 2010, GLOBAL CHANGE BIOL, V16, P587, DOI 10.1111/j.1365-2486.2009.02014.x
   Biesgen D, 2020, GEODERMA, V376, DOI 10.1016/j.geoderma.2020.114544
   Bossuyt H, 2001, APPL SOIL ECOL, V16, P195, DOI 10.1016/S0929-1393(00)00116-5
   Butler SM, 2012, OECOLOGIA, V168, P819, DOI 10.1007/s00442-011-2133-7
   Cardenas E, 2015, ISME J, V9, P2465, DOI 10.1038/ismej.2015.57
   Castro HF, 2010, APPL ENVIRON MICROB, V76, P999, DOI 10.1128/AEM.02874-09
   Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
   Cheng L, 2017, ISME J, V11, P1825, DOI 10.1038/ismej.2017.48
   Chowdhury PR, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.666558
   Conant RT, 2011, GLOBAL CHANGE BIOL, V17, P3392, DOI 10.1111/j.1365-2486.2011.02496.x
   Cordero OX, 2016, CURR OPIN MICROBIOL, V31, P227, DOI 10.1016/j.mib.2016.03.015
   Daniel R, 2005, NAT REV MICROBIOL, V3, P470, DOI 10.1038/nrmicro1160
   DeAngelis KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00104
   Domeignoz-Horta LA, 2023, GLOBAL CHANGE BIOL, V29, P1574, DOI 10.1111/gcb.16544
   Dove NC, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22408-5
   Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
   Fierer N, 2007, ECOLOGY, V88, P1354, DOI 10.1890/05-1839
   Fierer N, 2012, ISME J, V6, P1007, DOI 10.1038/ismej.2011.159
   Fox A, 2018, APPL SOIL ECOL, V127, P19, DOI 10.1016/j.apsoil.2018.02.023
   Goldfarb KC, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00094
   Guo X, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18706-z
   Guo X, 2018, NAT CLIM CHANGE, V8, P813, DOI 10.1038/s41558-018-0254-2
   Hartmann M, 2014, ISME J, V8, P226, DOI 10.1038/ismej.2013.141
   Helfrich M, 2015, APPL SOIL ECOL, V96, P261, DOI 10.1016/j.apsoil.2015.08.023
   Jansson JK, 2020, NAT REV MICROBIOL, V18, P35, DOI 10.1038/s41579-019-0265-7
   Janzen HH, 2005, CAN J SOIL SCI, V85, P467, DOI 10.4141/S04-081
   Jastrow JD, 2007, CLIMATIC CHANGE, V80, P5, DOI 10.1007/s10584-006-9178-3
   Johnston ER, 2019, P NATL ACAD SCI USA, V116, P15096, DOI 10.1073/pnas.1901307116
   Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
   Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
   Kleber M, 2010, ENVIRON CHEM, V7, P320, DOI 10.1071/EN10006
   Koranda M, 2013, SOIL BIOL BIOCHEM, V60, P95, DOI 10.1016/j.soilbio.2013.01.025
   Kuffner M, 2012, FEMS MICROBIOL ECOL, V82, P551, DOI 10.1111/j.1574-6941.2012.01420.x
   Li JH, 2019, ISME J, V13, P2162, DOI 10.1038/s41396-019-0422-z
   Liu XJA, 2021, SOIL BIOL BIOCHEM, V159, DOI 10.1016/j.soilbio.2021.108298
   Liu XJA, 2021, SOIL BIOL BIOCHEM, V152, DOI 10.1016/j.soilbio.2020.108055
   Liu Xiaojun, 2021, EDI - LTER, DOI 10.6073/PASTA/5550A5976B38D84F640BDED41052266C
   Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
   Luo CW, 2014, APPL ENVIRON MICROB, V80, P1777, DOI 10.1128/AEM.03712-13
   Mackelprang R, 2011, NATURE, V480, P368, DOI 10.1038/nature10576
   Marchler-Bauer A, 2007, NUCLEIC ACIDS RES, V35, pD237, DOI 10.1093/nar/gkl951
   Melillo JM, 2017, SCIENCE, V358, P101, DOI 10.1126/science.aan2874
   Mitchell MF, 2022, FRONT SOIL SCI, V2, DOI 10.3389/fsoil.2022.987178
   Morris EK, 2019, ISME J, V13, P1639, DOI 10.1038/s41396-019-0369-0
   Murugan R, 2019, GEODERMA, V339, P1, DOI 10.1016/j.geoderma.2018.12.018
   Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
   O'Brien SL, 2013, SOIL BIOL BIOCHEM, V61, P1, DOI 10.1016/j.soilbio.2013.01.031
   Oliverio AM, 2017, GLOBAL CHANGE BIOL, V23, P2117, DOI 10.1111/gcb.13557
   PETERJOHN WT, 1994, ECOL APPL, V4, P617, DOI 10.2307/1941962
   Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
   Pold G, 2017, SOIL BIOL BIOCHEM, V110, P68, DOI 10.1016/j.soilbio.2017.03.002
   Pold G, 2016, APPL ENVIRON MICROB, V82, P6518, DOI 10.1128/AEM.02012-16
   Pold G, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00480
   Poll C, 2013, AGR ECOSYST ENVIRON, V165, P88, DOI 10.1016/j.agee.2012.12.012
   Pries CEH, 2017, SCIENCE, V355, P1420, DOI 10.1126/science.aal1319
   R Core Team, 2023, R LANG ENV STAT COMP
   Rahman MT, 2017, APPL SOIL ECOL, V111, P84, DOI 10.1016/j.apsoil.2016.11.018
   Ribeiro RA, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.953479
   Roncarati D, 2017, FEMS MICROBIOL REV, V41, P549, DOI 10.1093/femsre/fux015
   Schimel J, 2007, ECOLOGY, V88, P1386, DOI 10.1890/06-0219
   Schimel JP, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00348
   Schumann W, 2016, CELL STRESS CHAPERON, V21, P959, DOI 10.1007/s12192-016-0727-z
   Sheik CS, 2011, ISME J, V5, P1692, DOI 10.1038/ismej.2011.32
   Six J, 2004, SOIL TILL RES, V79, P7, DOI 10.1016/j.still.2004.03.008
   Smith AP, 2014, SOIL BIOL BIOCHEM, V77, P292, DOI 10.1016/j.soilbio.2014.05.030
   Stone BW, 2023, OECOLOGIA, V201, P771, DOI 10.1007/s00442-023-05322-z
   Stone BW, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23676-x
   Stone BWG, 2023, ISME J, V17, P611, DOI 10.1038/s41396-022-01354-0
   Strickland MS, 2010, SOIL BIOL BIOCHEM, V42, P1385, DOI 10.1016/j.soilbio.2010.05.007
   Tao XY, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-45277-0
   Waldrop MP, 2006, MICROB ECOL, V52, P716, DOI 10.1007/s00248-006-9103-3
   Wang XL, 2019, ACTA OECOL, V95, P1, DOI 10.1016/j.actao.2018.10.003
   Waring BG, 2020, GLOBAL CHANGE BIOL, V26, P6631, DOI 10.1111/gcb.15365
   Woodcroft BJ, 2018, NATURE, V560, P49, DOI 10.1038/s41586-018-0338-1
   Wu LW, 2022, NAT MICROBIOL, V7, P1054, DOI 10.1038/s41564-022-01147-3
   Xue K, 2016, NAT CLIM CHANGE, V6, P595, DOI [10.1038/nclimate2940, 10.1038/NCLIMATE2940]
   Yanni SF, 2020, SOIL BIOL BIOCHEM, V140, DOI 10.1016/j.soilbio.2019.107631
   You MY, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.811735
   Yuan A, 2024, SOIL BIOL BIOCHEM, V191, DOI 10.1016/j.soilbio.2024.109357
   Zhang B, 2014, PLOS ONE, V9, DOI [10.1371/journal.pone.0103859, 10.1371/journal.pone.0092907]
   Zheng W, 2018, SOIL BIOL BIOCHEM, V125, P54, DOI 10.1016/j.soilbio.2018.06.029
   Zhou JZ, 2012, NAT CLIM CHANGE, V2, P106, DOI 10.1038/NCLIMATE1331
   Zhou YQ, 2021, GLOBAL CHANGE BIOL, V27, P6331, DOI 10.1111/gcb.15891
NR 92
TC 1
Z9 1
U1 46
U2 60
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
EI 2730-6151
J9 ISME COMMUN
JI ISME Commun.
PD JAN 8
PY 2024
VL 4
IS 1
AR ycae051
DI 10.1093/ismeco/ycae051
EA APR 2024
PG 11
WC Ecology; Microbiology
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Microbiology
GA UW0G6
UT WOS:001250976300001
PM 38699060
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Anders, J
   Schubert, S
   Sauter, T
   Tunn, S
   Schneider, C
   Salim, M
AF Anders, Julian
   Schubert, Sebastian
   Sauter, Tobias
   Tunn, Siiri
   Schneider, Christoph
   Salim, Mohamed
TI Modelling the impact of an urban development project on microclimate and
   outdoor thermal comfort in a mid-latitude city
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Microclimate; Outdoor thermal comfort; PET; Development; Urban planning;
   PALM-4U
ID LARGE-EDDY SIMULATION; SYSTEM 6.0; BIOMETEOROLOGICAL ASSESSMENT;
   REGIONAL CLIMATE; STREET CANYON; HEAT ISLANDS; PALM; TEMPERATURE;
   ENVIRONMENT; SENSITIVITY
AB This study assesses the impacts of sustainable urban development adapted to climate change in the city of Stuttgart, Germany. We use the state-of-the-art meteorological modelling system PALM-4U to simulate the microclimate and outdoor thermal comfort of the development site Neckarpark during a heatwave. We compare the atmospheric conditions of the current urban structure before the development project (2018) and the future state, representing the new district after completion (2025). Our results indicate that the restructuring barely affects surrounding neighbourhoods, but leads to mean near-surface air temperature increases in the centre of development between and . Differences in Physiologically Equivalent Temperature (PET) show a heterogeneous pattern at daytime, with a large amplitude and temporal variability in the diurnal cycle ( ). At night, the planned buildings increase the mean PET by ￼ . The new buildings reduce the effect of adaptation measures designed to increase the cooling effects, i.e. urban trees and vegetation, amplifying the thermal stress during heatwaves. Our study confirms the complex composite impacts of urban restructuring due to the thermal and dynamic flow processes. The paper may serve as a guide for the use of meteorological models to assess microclimatic impacts of planned development projects, contributing to urban planning and adaptation strategies.
C1 [Anders, Julian; Schubert, Sebastian; Sauter, Tobias; Tunn, Siiri; Schneider, Christoph; Salim, Mohamed] Humboldt Univ, Linden 6, D-10099 Berlin, Germany.
   [Schubert, Sebastian; Salim, Mohamed] Tech Univ Berlin, Str 17 Juni 135, D-10623 Berlin, Germany.
   [Anders, Julian] Leibniz Univ Hannover, Welfengarten 1, D-30167 Hannover, Germany.
   [Salim, Mohamed] Aswan Univ, airport Rd, Sahary City 81528, Aswan, Egypt.
C3 Humboldt University of Berlin; Technical University of Berlin; Leibniz
   University Hannover; Egyptian Knowledge Bank (EKB); Aswan University
RP Anders, J (corresponding author), Humboldt Univ, Linden 6, D-10099 Berlin, Germany.; Anders, J (corresponding author), Leibniz Univ Hannover, Welfengarten 1, D-30167 Hannover, Germany.
EM anders@meteo.uni-hannover.de
RI Schubert, Sebastian/AEN-4999-2022; sauter, tobias/HSD-8208-2023;
   Schneider, Christoph/V-2150-2017; Salim, Mohamed Hefny/AAG-7208-2020
OI Schubert, Sebastian/0000-0001-5683-3894; Anders,
   Julian/0000-0002-2893-3916; Sauter, Tobias/0000-0002-2232-8096;
   Schneider, Christoph/0000-0002-9914-3217; Salim, Mohamed
   Hefny/0000-0001-7838-6124
FU Federal German Ministry of Education and Research (BMBF) [01LP1911E];
   BMBF -Programme [UC] 2: MOSAIK-2 -further development of PALM -4U
   [01LP1912]; Modul B of the BMBF-Programme; scientific application of
   PALM-4U
FX & nbsp;Julian Anders, Sebastian Schubert, Siiri Tunn, Mohamed Salim
   reports financial support was provided by Federal Ministry of Education
   Julian Anders was supported by the Federal German Ministry of Education
   and Research (BMBF) grant 01UR2021B, Sebastian Schubert was partly
   supported by BMBF grant 033W107C, Mohamed Salim was supported by Module
   A of the BMBF-Programme [UC] 2: MOSAIK-2 -further development of PALM-4U
   (grant 01LP1911E) , and Siiri Tunn was supported by BMBF grant
   01UR2021B. Additionally, we acknowl- edge the funding received from
   Modul B of the BMBF-Programme [UC] 2: 3DO + M-evaluation and scientific
   application of PALM-4U (project number: 01LP1912) to cover the
   publication fees associated with this work.
CR Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   Amt fur Stadtplanung und Stadterneuerung, 2020, STADTQ NECK
   Amt fur Stadtplanung und Wohnen, 2019, NECK URB LEB NACHH
   Battista G, 2016, ENERG BUILDINGS, V133, P446, DOI 10.1016/j.enbuild.2016.10.004
   Baumueller J., 1996, GEOWISSENSCHAFTEN, P229
   Belda M, 2021, GEOSCI MODEL DEV, V14, P4443, DOI 10.5194/gmd-14-4443-2021
   Berardi U, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080822
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   Blocken B, 2018, BUILD SIMUL-CHINA, V11, P821, DOI 10.1007/s12273-018-0459-3
   Bruse M, 1998, ENVIRON MODELL SOFTW, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   Buttner G., 2011, EARSEL PRAGUE EPROCE, V3, P336
   Büttner G, 2014, REMOTE SENS DIGIT IM, V18, P55, DOI 10.1007/978-94-007-7969-3_5
   CARLSON TN, 1978, J APPL METEOROL, V17, P998, DOI 10.1175/1520-0450(1978)017<0998:AOURCU>2.0.CO;2
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chatterjee S, 2019, SCI TOTAL ENVIRON, V663, P610, DOI 10.1016/j.scitotenv.2019.01.299
   Clough SA, 2005, J QUANT SPECTROSC RA, V91, P233, DOI 10.1016/j.jqsrt.2004.05.058
   Copernicus Land Monitoring Service, 2017, CORINE LAND COVER 20
   Cortekar J, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100193
   De Ridder K, 2015, URBAN CLIM, V12, P21, DOI 10.1016/j.uclim.2015.01.001
   Doms G., 2011, Consortium for small scale modelling
   Doms G., 2013, COSMO MODEL VERSIO 1, DOI [10.5676/DWD_PUB/NWV/COSMO-DOC_5.00_I, DOI 10.5676/DWD_PUB/NWV/COSMO-DOC_5.00_I]
   DWD, 2020, YB 2019 DTSCH WETT, P1
   Emmanuel R, 2007, CLIM RES, V34, P241, DOI 10.3354/cr00694
   Estima J, 2015, LECT NOTES GEOINF CA, P273, DOI 10.1007/978-3-319-14280-7_14
   Filho WL, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14121600
   Foken T., 2008, MICROMETEOROLOGY, P105, DOI DOI 10.1007/978-3-642-25440-6
   Fröhlich D, 2020, GEOSCI MODEL DEV, V13, P3055, DOI 10.5194/gmd-13-3055-2020
   Früh B, 2011, J APPL METEOROL CLIM, V50, P167, DOI 10.1175/2010JAMC2377.1
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gehrke KF, 2021, GEOSCI MODEL DEV, V14, P5307, DOI 10.5194/gmd-14-5307-2021
   Geletic J, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12020175
   Geletic J, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100588
   Grawe D, 2013, INT J CLIMATOL, V33, P2388, DOI 10.1002/joc.3589
   Gronemeier T, 2021, GEOSCI MODEL DEV, V14, P3317, DOI 10.5194/gmd-14-3317-2021
   Gross G, 2012, METEOROL Z, V21, P399, DOI 10.1127/0941-2948/2012/0363
   Hatvani-Kovacs G, 2018, URBAN CLIM, V25, P51, DOI 10.1016/j.uclim.2018.05.001
   Heldens W, 2020, GEOSCI MODEL DEV, V13, P5833, DOI 10.5194/gmd-13-5833-2020
   Heris MP, 2020, LANDSCAPE URBAN PLAN, V202, DOI 10.1016/j.landurbplan.2020.103870
   Herrmann J, 2012, INT J BIOMETEOROL, V56, P199, DOI 10.1007/s00484-010-0394-1
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Johansson E, 2006, INT J BIOMETEOROL, V51, P119, DOI 10.1007/s00484-006-0047-6
   Johnson DP, 2009, APPL GEOGR, V29, P419, DOI 10.1016/j.apgeog.2008.11.004
   Kadasch E, 2021, GEOSCI MODEL DEV, V14, P5435, DOI 10.5194/gmd-14-5435-2021
   Kanani F, 2014, METEOROL Z, V23, P33, DOI 10.1127/0941-2948/2014/0542
   Kántor N, 2018, LANDSCAPE URBAN PLAN, V170, P241, DOI 10.1016/j.landurbplan.2017.09.030
   Karttunen S, 2020, ATMOS ENVIRON-X, V6, DOI 10.1016/j.aeaoa.2020.100073
   Ketterer C, 2014, URBAN CLIM, V10, P573, DOI 10.1016/j.uclim.2014.01.003
   Ketterer C, 2014, LANDSCAPE URBAN PLAN, V122, P78, DOI 10.1016/j.landurbplan.2013.11.003
   Khan B, 2021, GEOSCI MODEL DEV, V14, P1171, DOI 10.5194/gmd-14-1171-2021
   Khan SM, 2001, BOUND-LAY METEOROL, V100, P487, DOI 10.1023/A:1019284332306
   Koch F, 2018, SUSTAIN CITIES SOC, V38, P31, DOI 10.1016/j.scs.2017.11.021
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Krc P, 2021, GEOSCI MODEL DEV, V14, P3095, DOI 10.5194/gmd-14-3095-2021
   Krutova M., 2022, GEOSCI MODEL DEV DIS, V2022, P1, DOI [10.5194/gmd-2022-256, DOI 10.5194/GMD-2022-256]
   Letzel MO, 2008, ATMOS ENVIRON, V42, P8770, DOI 10.1016/j.atmosenv.2008.08.001
   Maronga B, 2015, GEOSCI MODEL DEV, V8, P2515, DOI 10.5194/gmd-8-2515-2015
   Maronga B, 2019, METEOROL Z, V28, P105, DOI 10.1127/metz/2019/0909
   Maronga B, 2020, GEOSCI MODEL DEV, V13, P1335, DOI 10.5194/gmd-13-1335-2020
   Matzarakis A, 2011, THEOR APPL CLIMATOL, V105, P99, DOI 10.1007/s00704-010-0379-3
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401
   OKE TR, 1989, PHILOS T ROY SOC B, V324, P335, DOI 10.1098/rstb.1989.0051
   OKE TR, 1981, URBAN ECOL, V5, P45, DOI 10.1016/0304-4009(81)90020-6
   ORLANSKI I, 1975, B AM METEOROL SOC, V56, P527
   Paas B, 2021, METEOROL Z, V30, DOI 10.1127/metz/2020/1006
   Park SB, 2015, ENVIRON FLUID MECH, V15, P235, DOI 10.1007/s10652-013-9306-3
   Park SB, 2015, J APPL METEOROL CLIM, V54, P811, DOI 10.1175/JAMC-D-14-0044.1
   Pfafferott J, 2021, GEOSCI MODEL DEV, V14, P3511, DOI 10.5194/gmd-14-3511-2021
   Priyadarsini R, 2008, SOL ENERGY, V82, P727, DOI 10.1016/j.solener.2008.02.008
   Raasch S, 2001, METEOROL Z, V10, P363, DOI 10.1127/0941-2948/2001/0010-0363
   Resler J, 2021, GEOSCI MODEL DEV, V14, P4797, DOI 10.5194/gmd-14-4797-2021
   Resler J, 2017, GEOSCI MODEL DEV, V10, P3635, DOI 10.5194/gmd-10-3635-2017
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Ritter B., 2018, DTSCH WETTERDIENST, P115
   Rotach MW, 2005, THEOR APPL CLIMATOL, V81, P231, DOI 10.1007/s00704-004-0117-9
   Salim H.S., 2020, INT J APPL ENERGY SY, V2, P15
   Salim MH, 2022, GEOSCI MODEL DEV, V15, P145, DOI 10.5194/gmd-15-145-2022
   Salim MH, 2018, GEOSCI MODEL DEV, V11, P3427, DOI 10.5194/gmd-11-3427-2018
   Schaettler U., 2019, COSMO DOCUMENTATIO 7
   Stadtmessungsamt Stuttgart, 2019, DIG STADT STUTTGAR3D
   Steppeler J, 2003, METEOROL ATMOS PHYS, V82, P75, DOI 10.1007/s00703-001-0592-9
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Svensson MK, 2004, METEOROL APPL, V11, P201, DOI 10.1017/S1350482704001288
   Taleghani M, 2015, BUILD ENVIRON, V83, P65, DOI 10.1016/j.buildenv.2014.03.014
   Thorsson S, 2011, INT J CLIMATOL, V31, P324, DOI 10.1002/joc.2231
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   Unger J, 2004, CLIM RES, V27, P253, DOI 10.3354/cr027253
   Vautard R, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba3d4
   WILLIAMSON JH, 1980, J COMPUT PHYS, V35, P48, DOI 10.1016/0021-9991(80)90033-9
   WILMERS F, 1991, ENERG BUILDINGS, V15, P507
   Yang ZY, 2015, CHINESE J AERONAUT, V28, P11, DOI 10.1016/j.cja.2014.12.007
   ZWIERS FW, 1995, J CLIMATE, V8, P336, DOI 10.1175/1520-0442(1995)008<0336:TSCIAI>2.0.CO;2
NR 92
TC 12
Z9 12
U1 7
U2 27
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 2023
VL 296
AR 113324
DI 10.1016/j.enbuild.2023.113324
EA JUL 2023
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 P0FZ1
UT WOS:001047496100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Sidharthan, PV
   Kashyap, Y
AF Sidharthan, P. Vishnu
   Kashyap, Yashwant
TI Investigation of performance and technical assessments of hybrid source
   electric vehicles under different locations and driving conditions
SO INTERNATIONAL JOURNAL OF GREEN ENERGY
LA English
DT Article
DE Electric vehicle; energy management system; sustainable transportation;
   solar photovoltaic; supercapacitor (SC)
ID LITHIUM-ION BATTERIES; ENERGY MANAGEMENT STRATEGY; LIFE-CYCLE
   ASSESSMENT; STORAGE-SYSTEM; SUPERCAPACITOR; TRANSPORTATION;
   OPPORTUNITIES; VOLTAGE; DESIGN
AB Sustainable transportation is a significant concept followed by nations implementing Nationally Determined Contributions (NDCs) that reduce emissions and adapt to climate change impacts. Electric vehicle (EV) adoption has accelerated; however, a trade-off exists between EV adoption and EV batteries-Battery charging from the grid (conventional energy sources) and e-wastes from retired batteries deposited in landfills. Thus, EVs associated with renewable energy sources (RES) are an alternate solution. This paper proposes a hybrid source electric vehicle (HSEV) with a high energy-dense supercapacitor (SC) as the primary source and PV energy as the secondary source. An energy management algorithm (EMA) with a modified controller is implemented in a Matlab/Simulink environment. Analysis of HSEV under varying locations (Australia, India, and Scotland), driving profiles (WLTP class-1, IDC, and ECE), and driving times (daytime, nighttime) highlights the importance of the proposed EMA. Grid charging instants are reduced to 3 times per month in Australia under WLTP class-1 cycle employing PV energy. Moreover, SC degradation is least compared to the lithium-ion battery in a BEV (Battery Electric Vehicle), hence avoiding the chances of maintenance and replacements. The proposed HSEV exhibits improved performance compared to BEVs of a similar type under different locations, driving, and environmental conditions.
C1 [Sidharthan, P. Vishnu; Kashyap, Yashwant] Natl Inst Technol Karnataka Surathkal, Dept Elect & Elect Engn, Mangaluru, Karnataka, India.
   [Kashyap, Yashwant] Natl Inst Technol, Dept Elect & Elect Engn, Mangaluru 575025, Karnataka, India.
C3 National Institute of Technology (NIT System); National Institute of
   Technology Karnataka; National Institute of Technology (NIT System);
   National Institute of Technology Karnataka
RP Kashyap, Y (corresponding author), Natl Inst Technol, Dept Elect & Elect Engn, Mangaluru 575025, Karnataka, India.
EM yashwant.kashyap@nitk.edu.in
RI Kashyap, Y/IXN-2729-2023; P, Vishnu/AAO-9159-2021
OI Sidharthan P, Vishnu/0000-0002-3363-7505
CR Agrawal RC, 2008, J PHYS D APPL PHYS, V41, DOI 10.1088/0022-3727/41/22/223001
   Andwari AM, 2017, RENEW SUST ENERG REV, V78, P414, DOI 10.1016/j.rser.2017.03.138
   [Anonymous], 2022, SUPERCAPACITOR AOWEI
   [Anonymous], EL POW TRAIN VEH MEA
   [Anonymous], 2022, SOLAR PHOTOVOLTAIC N
   [Anonymous], MAH EL 3 WHEEL  SPEC
   [Anonymous], 2022, LIGHT YEAR SOL EL VE
   [Anonymous], 2020, Solar Photovoltaic Power Potential by Country'
   [Anonymous], 2022, MAXW TECHN SUP
   [Anonymous], Hybrid Electric Vehicles
   [Anonymous], 2019, GLOBAL ENERGY TRANSF
   [Anonymous], EN STOR TOT COST OWN
   Arunkumar CR, 2022, J ENERGY STORAGE, V50, DOI 10.1016/j.est.2022.104232
   Brito MC, 2021, TRANSPORT RES D-TR E, V94, DOI 10.1016/j.trd.2021.102810
   Cabrane Z, 2021, SOL ENERGY, V216, P551, DOI 10.1016/j.solener.2021.01.048
   Cabrane Z, 2020, J ENERGY STORAGE, V32, DOI 10.1016/j.est.2020.101943
   Charging stations by gemamex motion co, 2022, US
   Chen YQ, 2021, J ENERGY CHEM, V59, P83, DOI 10.1016/j.jechem.2020.10.017
   de Souza LL, 2018, J CLEAN PROD, V203, P444, DOI 10.1016/j.jclepro.2018.08.236
   Elia A, 2021, RENEW SUST ENERG REV, V138, DOI 10.1016/j.rser.2020.110488
   Erickson R. W., 2020, Fundamentals of Power Electronics, V3rd
   European Commission, PHOT GEPGR INF SYST
   Fang HQ, 2024, ENERG SOURCE PART A, V46, P5849, DOI 10.1080/15567036.2022.2033887
   IEA, AV PACK PRIC LITH IO
   IEA, 2022, 2030 EVS REPR MOR 60
   International Energy Agency, World Energy Outlook
   Jia LM, 2020, CSEE J POWER ENERGY, V6, P760, DOI 10.17775/CSEEJPES.2020.02040
   KoteswaraRao KV, 2019, INT J GREEN ENERGY, V16, P115, DOI 10.1080/15435075.2018.1549996
   Kreczanik P, 2014, IEEE T IND ELECTRON, V61, P4895, DOI 10.1109/TIE.2013.2293695
   Lahyani A, 2020, ENERG SOURCE PART A, DOI 10.1080/15567036.2020.1849456
   Lemian D, 2022, ENERGIES, V15, DOI 10.3390/en15155683
   Li H, 2019, ENERG CONVERS MANAGE, V192, P133, DOI 10.1016/j.enconman.2019.03.090
   Libich J, 2018, J ENERGY STORAGE, V17, P224, DOI 10.1016/j.est.2018.03.012
   Liu T, 2021, J POWER SOURCES, V511, DOI 10.1016/j.jpowsour.2021.230466
   Luca R, 2022, INT J HYDROGEN ENERG, V47, P24042, DOI 10.1016/j.ijhydene.2022.05.192
   Maino C, 2021, ENERGY AI, V5, DOI 10.1016/j.egyai.2021.100073
   Marques P, 2019, J CLEAN PROD, V229, P787, DOI 10.1016/j.jclepro.2019.05.026
   Masias A, 2021, ACS ENERGY LETT, V6, P621, DOI 10.1021/acsenergylett.0c02584
   Mbuwira BV, 2021, ENERGY AI, V4, DOI 10.1016/j.egyai.2021.100059
   Niu JY, 2022, ENERGY, V257, DOI 10.1016/j.energy.2022.124653
   Olabi AG, 2022, ENERGY, V248, DOI 10.1016/j.energy.2022.123617
   Ranganath N, 2021, INT J SUSTAIN ENG, V14, P1698, DOI 10.1080/19397038.2021.1986596
   Rangarajan SS, 2022, CLEAN TECHNOL-BASEL, V4, P908, DOI 10.3390/cleantechnol4040056
   Rekioua D, 2014, INT J HYDROGEN ENERG, V39, P1604, DOI 10.1016/j.ijhydene.2013.03.040
   Resources for the Future, 2020, GLOB EN OUTL 2020 EN
   Roy PKS, 2021, NORTH AMER POW SYMP, DOI 10.1109/NAPS50074.2021.9449677
   Sagaria S, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131402
   Schuster SF, 2015, J POWER SOURCES, V297, P242, DOI 10.1016/j.jpowsour.2015.08.001
   Sharma R, 2012, TRANSPORT RES C-EMER, V25, P238, DOI 10.1016/j.trc.2012.06.003
   Panaparambil VS, 2021, INT J ENERG RES, V45, P19819, DOI 10.1002/er.7107
   Sidharthan VP, 2023, ENERGIES, V16, DOI 10.3390/en16031214
   Song ZY, 2015, APPL ENERG, V159, P576, DOI 10.1016/j.apenergy.2015.08.120
   Sun L, 2017, IEEE T POWER ELECTR, V32, P9364, DOI 10.1109/TPEL.2017.2653842
   Tremblay O, 2007, 2007 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VOLS 1 AND 2, P284
   Trovao JPF, 2017, IEEE T VEH TECHNOL, V66, P5540, DOI 10.1109/TVT.2016.2636282
   Veerendra AS, 2021, INT J GREEN ENERGY, V18, P128, DOI 10.1080/15435075.2020.1831511
   Vishnu SP, 2023, ENERGY STORAGE, V5, DOI 10.1002/est2.436
   Vukajlovic N, 2020, J ENERGY STORAGE, V31, DOI 10.1016/j.est.2020.101603
   Wang J, 2011, J POWER SOURCES, V196, P3942, DOI 10.1016/j.jpowsour.2010.11.134
   Wang LM, 2019, INT J ENERG RES, V43, P2086, DOI 10.1002/er.4410
   Xie J, 2018, J POWER SOURCES, V401, P213, DOI 10.1016/j.jpowsour.2018.08.090
   Zhang J, 2020, APPL ENERG, V275, DOI 10.1016/j.apenergy.2020.115408
   Zhang Y, 2020, ACS APPL ENERG MATER, V3, P10685, DOI 10.1021/acsaem.0c01747
   Zhao C, 2015, IEEE T ENERGY CONVER, V30, P1081, DOI 10.1109/TEC.2015.2418818
   Zhu WL, 2022, INT J ELECTROCHEM SC, V17, DOI 10.20964/2022.11.30
NR 65
TC 0
Z9 0
U1 0
U2 5
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1543-5075
EI 1543-5083
J9 INT J GREEN ENERGY
JI Int. J. Green Energy
PD FEB 19
PY 2024
VL 21
IS 3
BP 535
EP 554
DI 10.1080/15435075.2023.2200545
EA APR 2023
PG 20
WC Thermodynamics; Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Science & Technology - Other Topics; Energy & Fuels
GA DX5B1
UT WOS:000971001200001
DA 2025-01-10
ER

PT J
AU Fu, GT
   Zhang, C
   Hall, JW
   Butler, D
AF Fu, Guangtao
   Zhang, Chi
   Hall, Jim W.
   Butler, David
TI Are sponge cities the solution to China's growing urban flooding
   problems?
SO WILEY INTERDISCIPLINARY REVIEWS-WATER
LA English
DT Article
DE community resilience; flood resilience; nature-based solution; sponge
   city; stormwater management
ID WATER MANAGEMENT; RESILIENCE
AB Nature-based solutions have been promoted as a sustainable solution for urban stormwater management and they are currently adopted at an unprecedented speed and scale to build sponge cities in China, with a primary aim to solving urban flood problems. However, there are limits to how much rainfall sponge cities can absorb, hence, they are unlikely to be a panacea for flooding problems in cities. We argue that bottom-up community-based measures are essential part of the intervention development framework that is required to transform sponge cities into flood resilient cities. This community-based approach can effectively build on the distinctive and unique feature of Chinese cities, that is, the prevalence of gated communities, which provides a solid foundation for implementing community-based measures for flood management. A range of such community-based measures including resilience mapping, property-based resistant and resilient measures, flood insurance, and social resilience building are discussed. Flood resilience building does not just mean investments in gray-green-blue infrastructure, it requires social transformation toward flood resilient communities. This article provides a roadmap for the next stage development of sponge cities which plays a key role in coping with extreme storm events and adapting to climate change in cities.
   This article is categorized under:
   Engineering Water > Sustainable Engineering of Water
   Engineering Water > Planning Water
   Science of Water > Water Extremes
C1 [Fu, Guangtao; Butler, David] Univ Exeter, Ctr Water Syst, Exeter, Devon, England.
   [Zhang, Chi] Dalian Univ Technol, Sch Hydraul Engn, Dalian, Peoples R China.
   [Hall, Jim W.] Univ Oxford, Environm Change Inst, Oxford, England.
C3 University of Exeter; Dalian University of Technology; University of
   Oxford
RP Fu, GT (corresponding author), Univ Exeter, Ctr Water Syst, Exeter, Devon, England.
EM g.fu@exeter.ac.uk
RI Fu, Guangtao/ABE-3874-2021; Hall, Jim/ABF-1407-2020; Butler,
   David/I-2991-2012
OI Butler, David/0000-0001-5515-3416; Hall, Jim W/0000-0002-2024-9191; Fu,
   Guangtao/0000-0003-1045-9125
FU Engineering and Physical Sciences Research Council [EP/N510129/1]; Royal
   Society [IF160108]; EPSRC [EP/N510129/1] Funding Source: UKRI
FX Engineering and Physical Sciences Research Council, Grant/Award Number:
   EP/N510129/1; Royal Society, Grant/Award Number: IF160108
CR Butler D., 2010, Urban Drainage, VThird
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Chan FKS, 2022, NAT REV EARTH ENV, V3, P99, DOI 10.1038/s43017-021-00251-y
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Erisman JW, 2015, NATURE, V519, P151, DOI 10.1038/519151a
   Fekete A, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1370
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Hamama B., 2020, Hamama and Liu City Territ Archit (2020), V7, P13, DOI DOI 10.1186/S40410-020-00122-X
   Hartmann T, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1465
   Imperiale AJ, 2021, SUSTAIN DEV, V29, P891, DOI 10.1002/sd.2182
   Jiang YQ, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8059-9
   Kapetas L, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0204
   Kelly D., 2020, CODE PRACTICE PROPER
   Li H, 2017, WATER-SUI, V9, DOI 10.3390/w9090594
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   McPhillips LE, 2021, SUSTAIN RESIL INFRAS, V6, P133, DOI 10.1080/23789689.2020.1754625
   Meng M, 2022, CITIES, V126, DOI 10.1016/j.cities.2022.103702
   Michel-Kerjan E, 2011, SCIENCE, V333, P408, DOI 10.1126/science.1202616
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   National Academies of Sciences Engineering and Medicine, 2015, COMMUNITY BASED FLOO, DOI [10.17226/21758, DOI 10.17226/21758]
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   Oral HV, 2020, BLUE-GREEN SYST, V2, P112, DOI 10.2166/bgs.2020.932
   Pescaroli G, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707003
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Webber JL, 2020, URBAN WATER J, V17, P598, DOI 10.1080/1573062X.2019.1700286
   Wishart M., 2021, GRAY GREEN BLUE CONT
   World Bank, 2020, LEARNING EXPERIENCE
   Wu XL, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000582
   Yin DK, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124963
NR 31
TC 27
Z9 29
U1 32
U2 134
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2049-1948
J9 WIRES WATER
JI Wiley Interdiscip. Rev.-Water
PD JAN
PY 2023
VL 10
IS 1
AR e1613
DI 10.1002/wat2.1613
EA OCT 2022
PG 9
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 8D5YE
UT WOS:000863814500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zhang, ZR
   Li, WY
   Dong, YY
   Liu, JX
   Lan, QY
   Yang, X
   Xin, PY
   Gao, J
AF Zheng-Ren Zhang
   Wei-Ying Li
   Yi-Yi Dong
   Jing-Xin Liu
   Qin-Ying Lan
   Yang, Xue
   Pei-Yao Xin
   Gao, Jie
TI Geographic Cline and Genetic Introgression Effects on Seed Morphology
   Variation and Germination Fitness in Two Closely Related Pine Species in
   Southeast Asia
SO FORESTS
LA English
DT Article
DE seed trait; seed germination; environmental factors; fitness; genetic
   introgression; Pinus kesiya; Pinus yunnanensis
ID HYBRID FITNESS; POPULATION-SIZE; HYBRIDIZATION; ADAPTATION;
   DIVERSIFICATION; PATTERNS; GRADIENT; DENSATA; TRAITS; FOREST
AB There is still limited information on how genetic introgression impacts morphological variation and population fitness in long-lived conifer species. Two closely related pine species, Pinus kesiya Royle ex Gordon and Pinus yunnanensis Franch. are widely distributed over Southeast Asia and Yunnan province of China, with a large spatial scale of asymmetric genetic introgression and hybridization, and form a hybrid lineage, P. kesiya var. langbianensis, where their ranges overlap in southeast Yunnan. We compared seed trait variation and germination performance between hybrids and parental species and characterized environmental gradients to investigate the genetic and ecological evolutionary consequences of genetic introgression. We found that seed width (SW) differed significantly among the three pines, and all the seed traits were significantly negatively correlated with latitude and associated with the mean temperatures of the driest and wettest quarters. A higher germination fitness of hybrids was detected at a low temperature, indicating that they had better adaptability to temperature stress than their parental species during the germination process. Our results suggest that environmental factors shape seed phenotypic variation in the pine species and that genetic introgression significantly affects seed germination fitness. Therefore, assisting gene flow in natural forest populations might facilitate their adaptation to climate change.
C1 [Zheng-Ren Zhang; Yi-Yi Dong; Jing-Xin Liu; Gao, Jie] Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China.
   [Zheng-Ren Zhang; Yi-Yi Dong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Wei-Ying Li; Pei-Yao Xin] Southwest Forestry Univ, Southwest Res Ctr Landscape Architecture Engn, State Forestry & Grassland Adm, Kunming 650224, Yunnan, Peoples R China.
   [Qin-Ying Lan] Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China.
   [Qin-Ying Lan; Gao, Jie] Chinese Acad Sci, Ctr Conservat Biol, Core Bot Gardens, Mengla 666303, Peoples R China.
   [Yang, Xue] Jilin Agr Univ, Coll Life Sci, Changchun 130118, Peoples R China.
   [Gao, Jie] Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China.
C3 Chinese Academy of Sciences; Xishuangbanna Tropical Botanical Garden,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Southwest Forestry University - China; Chinese Academy of
   Sciences; Xishuangbanna Tropical Botanical Garden, CAS; Chinese Academy
   of Sciences; Jilin Agricultural University; Chinese Academy of Forestry;
   State Key Laboratory of Tree Genetics & Breeding, CAF
RP Gao, J (corresponding author), Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China.; Xin, PY (corresponding author), Southwest Forestry Univ, Southwest Res Ctr Landscape Architecture Engn, State Forestry & Grassland Adm, Kunming 650224, Yunnan, Peoples R China.; Gao, J (corresponding author), Chinese Acad Sci, Ctr Conservat Biol, Core Bot Gardens, Mengla 666303, Peoples R China.; Gao, J (corresponding author), Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China.
EM zhangzhengren@xtbg.ac.cn; lwy0427@163.com; dongyiyi@xtbg.ac.cn;
   liujx@xtbg.org.cn; lqy@xtbg.org.cn; xueyang840316@163.com;
   xpytgyx@163.com; gaojie@xtbg.org.cn
RI Dong, Yiyi/ADW-0403-2022; Gao, Jie/KMY-7382-2024; , Jing-Xin/G-5151-2016
OI , Jing-Xin/0000-0003-4127-7252; Zhang, Zhengren/0000-0001-7984-7586
FU National Natural Science Foundation of China [NSFC 31770701]; Open Fund
   of State Key Laboratory of Tree Genetics and Breeding (Chinese Academy
   of Forestry) [TGB2021002]
FX This study was supported by grants from the National Natural Science
   Foundation of China (NSFC 31770701) and the Open Fund of State Key
   Laboratory of Tree Genetics and Breeding (Chinese Academy of Forestry)
   (Grant No. TGB2021002).
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Armitage F.B., 1980, TROPICAL FORESTRY PA
   Arnold ML, 2012, HEREDITY, V108, P159, DOI 10.1038/hdy.2011.65
   Arnold ML, 2010, TRENDS ECOL EVOL, V25, P530, DOI 10.1016/j.tree.2010.06.005
   Arnold ML, 2004, MOL ECOL, V13, P997, DOI 10.1111/j.1365-294X.2004.02145.x
   Baskin JM, 2015, SEED SCI RES, V25, P355, DOI 10.1017/S096025851500032X
   Campbell DR, 2001, EVOLUTION, V55, P669, DOI 10.1554/0014-3820(2001)055[0669:GBEIAT]2.0.CO;2
   Chen ZH, 2002, ACTA BOT SIN, V44, P1469
   DOBZHANSKY T, 1955, COLD SPRING HARB SYM, V20, P1
   Donohue K, 2010, ANNU REV ECOL EVOL S, V41, P293, DOI 10.1146/annurev-ecolsys-102209-144715
   DOUGLAS DA, 1981, J ECOL, V69, P295, DOI 10.2307/2259832
   Fan YK, 2021, FOREST ECOL MANAG, V494, DOI 10.1016/j.foreco.2021.119321
   Fitzpatrick BM, 2010, P NATL ACAD SCI USA, V107, P3606, DOI 10.1073/pnas.0911802107
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Gao J, 2024, J SYST EVOL, V62, P120, DOI 10.1111/jse.12949
   Goroshkevich S., 2007, ANN FOR RES, V51, P43
   Hämaälä T, 2017, MOL ECOL, V26, P3484, DOI 10.1111/mec.14135
   Hanusová K, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099552
   He JD, 2017, J MT SCI-ENGL, V14, P1563, DOI 10.1007/s11629-017-4424-x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Iwaizumi MG, 2021, PLANT SPEC BIOL, V36, P218, DOI 10.1111/1442-1984.12309
   Iwaizumi MG, 2019, J FOREST RES-JPN, V24, P187, DOI 10.1080/13416979.2019.1603666
   Jensen SM, 2017, SEED SCI RES, V27, P321, DOI 10.1017/S0960258517000228
   Ji MF, 2017, J PLANT ECOL, V10, P386, DOI 10.1093/jpe/rtw033
   Jiang XQ, 2014, BIOMETRICAL J, V56, P493, DOI 10.1002/bimj.201300123
   Jiménez-Alfaro B, 2016, J VEG SCI, V27, P637, DOI 10.1111/jvs.12375
   Jin WT, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022302118
   Johnston JA, 2003, J ECOL, V91, P438, DOI 10.1046/j.1365-2745.2003.00774.x
   Kobayashi N., 2000, Edinburgh Journal of Botany, V57, P209, DOI 10.1017/S0960428600000147
   Lammi A, 1999, CONSERV BIOL, V13, P1069, DOI 10.1046/j.1523-1739.1999.98278.x
   Leal-Sáenz A, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.559697
   Leimu R, 2006, J ECOL, V94, P942, DOI 10.1111/j.1365-2745.2006.01150.x
   Liu FL, 2005, AUST J AGR RES, V56, P1245, DOI 10.1071/AR05062
   Ma YZ, 2019, COMMUN BIOL, V2, DOI 10.1038/s42003-019-0445-z
   Major JE, 2003, CAN J FOREST RES, V33, P897, DOI 10.1139/X03-067
   Mao JF, 2009, EVOL ECOL, V23, P447, DOI 10.1007/s10682-008-9244-6
   Markert JA, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-205
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Mimura M, 2020, ECOL EVOL, V10, P7476, DOI 10.1002/ece3.6473
   MIROV N. T., 1967
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Moles AT, 2007, GLOBAL ECOL BIOGEOGR, V16, P109, DOI 10.1111/j.1466-8238.2006.00259.x
   Monteleone I, 2006, SILVA FENN, V40, P391, DOI 10.14214/sf.476
   Neale D, 2019, The conifers: Genomes, variation and evolution, DOI DOI 10.1007/978-3-319-46807-5
   NEALE DB, 1989, THEOR APPL GENET, V77, P212, DOI 10.1007/BF00266189
   Pfennig KS, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1329
   Pritchard VL, 2013, J EVOLUTION BIOL, V26, P416, DOI 10.1111/jeb.12060
   Prunier J, 2016, NEW PHYTOL, V209, P44, DOI 10.1111/nph.13565
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ranal Marli A., 2006, Braz. J. Bot., V29, P1, DOI 10.1590/S0100-84042006000100002
   Restaino CM, 2016, P NATL ACAD SCI USA, V113, P9557, DOI 10.1073/pnas.1602384113
   Rhymer JM, 1996, ANNU REV ECOL SYST, V27, P83, DOI 10.1146/annurev.ecolsys.27.1.83
   Ritz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0146021
   Ritz C, 2013, EUR J AGRON, V45, P1, DOI 10.1016/j.eja.2012.10.003
   Ritz C, 2010, EUR J AGRON, V32, P155, DOI 10.1016/j.eja.2009.10.002
   Roe AD, 2014, ECOL EVOL, V4, P1629, DOI 10.1002/ece3.1029
   Scotti I, 2016, ANN FOREST SCI, V73, P69, DOI 10.1007/s13595-015-0471-z
   Soriano D, 2011, ANN BOT-LONDON, V107, P939, DOI 10.1093/aob/mcr041
   Souza ML, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208512
   Tabas-Madrid D, 2018, PLANT CELL ENVIRON, V41, P1806, DOI 10.1111/pce.13189
   Tobler M, 2010, J EVOLUTION BIOL, V23, P1475, DOI 10.1111/j.1420-9101.2010.02014.x
   Todesco M, 2016, EVOL APPL, V9, P892, DOI 10.1111/eva.12367
   VANDENWOLLENBERG AL, 1977, PSYCHOMETRIKA, V42, P207, DOI 10.1007/BF02294050
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   Wang XiaoRu Wang XiaoRu, 1996, Forest Genetics, V3, P37
   Williams AP, 2010, P NATL ACAD SCI USA, V107, P21289, DOI 10.1073/pnas.0914211107
   Wright IJ, 2017, SCIENCE, V357, P917, DOI 10.1126/science.aal4760
   Wu C. L., 1956, Acta Phytotaxonomica Sinica, Peking, V5, P131
   Zhao W, 2014, EVOLUTION, V68, P3120, DOI 10.1111/evo.12496
NR 70
TC 2
Z9 3
U1 2
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAR
PY 2022
VL 13
IS 3
AR 374
DI 10.3390/f13030374
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 0C8HP
UT WOS:000775548100001
OA gold
DA 2025-01-10
ER

PT J
AU Andersen, JG
   Karekezi, C
   Ali, Z
   Yonga, G
   Kallestrup, P
   Kraef, C
AF Andersen, Johanne Greibe
   Karekezi, Catherine
   Ali, Zipporah
   Yonga, Gerald
   Kallestrup, Per
   Kraef, Christian
TI Perspectives of Local Community Leaders, Health Care Workers,
   Volunteers, Policy Makers and Academia on Climate Change Related Health
   Risks in Mukuru Informal Settlement in Nairobi, Kenya-A Qualitative
   Study
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE climate change; environmental health; informal settlements; slums;
   non-communicable diseases; communicable diseases; low- and middle-income
   countries
AB Sub-Saharan Africa has been identified as one of the most vulnerable regions to climate change. The objective of this study was to explore knowledge and perspectives on climate change and health-related issues, with a particular focus on non-communicable diseases, in the informal settlement (urban slum) of Mukuru in Nairobi, Kenya. Three focus group discussions and five in-depth interviews were conducted with total of 28 participants representing local community leaders, health care workers, volunteers, policy makers and academia. Data were collected using semi-structured interview guides and analyzed using grounded theory. Seven main themes emerged: climate change related diseases, nutrition and access to clean water, environmental risk factors, urban planning and public infrastructure, economic risk factors, vulnerable groups, and adaptation strategies. All participants were conscious of a link between climate change and health. This is the first qualitative study on climate change and health in an informal settlement in Africa. The study provides important information on perceived health risks, risk factors and adaptation strategies related to climate change. This can inform policy making, urban planning and health care, and guide future research. One important strategy to adapt to climate change-associated health risks is to provide training of local communities, thus ensuring adaptation strategies and climate change advocacy.
C1 [Andersen, Johanne Greibe; Kallestrup, Per; Kraef, Christian] Aarhus Univ, Ctr Global Hlth, Dept Publ Hlth, DK-8000 Aarhus, Denmark.
   [Andersen, Johanne Greibe; Kallestrup, Per; Kraef, Christian] Danish Noncommunicable Dis Alliance, DK-2100 Copenhagen, Denmark.
   [Karekezi, Catherine] Kenya Diabet Management & Informat Ctr, Nairobi 00100, Kenya.
   [Karekezi, Catherine; Ali, Zipporah; Yonga, Gerald] Noncommunicable Dis Alliance Kenya, Nairobi 00100, Kenya.
   [Yonga, Gerald] Univ Nairobi, Sch Med, Nairobi 00100, Kenya.
   [Kraef, Christian] Heidelberg Univ, Heidelberg Inst Global Hlth, D-69117 Heidelberg, Germany.
C3 Aarhus University; University of Nairobi; Ruprecht Karls University
   Heidelberg
RP Andersen, JG (corresponding author), Aarhus Univ, Ctr Global Hlth, Dept Publ Hlth, DK-8000 Aarhus, Denmark.; Andersen, JG (corresponding author), Danish Noncommunicable Dis Alliance, DK-2100 Copenhagen, Denmark.
EM johanne1109@hotmail.com; catherinekarekezi@yahoo.co.uk;
   zippy.ali@gmail.com; yongag@gmail.com; per.kallestrup@ph.au.dk;
   christiankraef@googlemail.com
RI Carlander, Christina/R-7265-2019; Karekezi, Catherine/HGF-2510-2022;
   Kallestrup, Per/AAA-8313-2022
OI Ali, Zipporah/0000-0003-3643-0304; Kallestrup, Per/0000-0001-6041-4510;
   Karekezi, Catherine/0000-0001-5341-4512; Kraef,
   Christian/0000-0002-5224-0335; Greibe Andersen,
   Johanne/0000-0002-3321-5185
FU CISU-Civil Society in Development; Danish Ministry of Foreign Affairs;
   Danish International Development Agency (DANIDA)
FX The study has been funded by CISU-Civil Society in Development, the
   Danish Ministry of Foreign Affairs; Danish International Development
   Agency (DANIDA).
CR [Anonymous], 2016, Slum almanac 2015-2016
   Armah FA, 2015, HUM ECOL RISK ASSESS, V21, P1936, DOI 10.1080/10807039.2014.1003203
   Asekun-Olarinmoye EO, 2014, RES REP TROP MED, V5, P1, DOI 10.2147/RRTM.S53984
   Bai L, 2013, ENVIRON HEALTH-GLOB, V12, DOI 10.1186/1476-069X-12-71
   Borg FH, 2021, GLOBAL HEALTH ACTION, V14, DOI 10.1080/16549716.2021.1908064
   Corburn J., 2018, MUKURU SPECIAL PLANN
   Corburn J., 2017, SITUATIONAL ANAL MUK
   Costello A., 2009, Lancet, V373, P1693, DOI DOI 10.1016/S0140-6736(09)60935-1
   Toan DTT, 2014, GLOBAL HEALTH ACTION, V7, P31, DOI 10.3402/gha.v7.23025
   Ezeh A, 2017, LANCET, V389, P547, DOI 10.1016/S0140-6736(16)31650-6
   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]
   Haque MA, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-1
   Hope S, 2016, JPN CARIBB CLIM CHAN, V1, P1
   Kabir MI, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2930-3
   MARTIN PY, 1986, J APPL BEHAV SCI, V22, P141, DOI 10.1177/002188638602200207
   Mayala BK, 2015, INFECT DIS POVERTY, V4, DOI 10.1186/s40249-015-0052-2
   Mishra SR, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034007
   Riley Lee W, 2007, BMC Int Health Hum Rights, V7, P2, DOI 10.1186/1472-698X-7-2
   Rocklöv J, 2014, GLOBAL HEALTH ACTION, V7, P1, DOI 10.3402/gha.v7.26552
   Springer RA, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17010198
   Sverdlik A, 2011, ENVIRON URBAN, V23, P123, DOI 10.1177/0956247811398604
   UN-Habitat, 2018, Addressing the most vulnerable first: Pro-poor climate action in informal settlements
   United Nations, 2021, GLOB ISS CLIM CHANG
   United Nations Human Settlements Programme (UN-Habitat), 2020, World cities report: the value of sustainable urbanization
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   WHO, 2020, Urgent health challenges for the next decade
   who, NONC DIS
   World Health Organisation, 2018, Health environment and climate change
NR 29
TC 5
Z9 5
U1 5
U2 11
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 NOV
PY 2021
VL 18
IS 22
AR 12241
DI 10.3390/ijerph182212241
PG 11
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 XI6RB
UT WOS:000726235000001
PM 34831995
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Whittet, R
   Cottrell, J
   Cavers, S
   Pecurul, M
   Ennos, R
AF Whittet, Richard
   Cottrell, Joan
   Cavers, Stephen
   Pecurul, Mireia
   Ennos, Richard
TI Supplying trees in an era of environmental uncertainty: Identifying
   challenges faced by the forest nursery sector in Great Britain
SO LAND USE POLICY
LA English
DT Article
DE Forest nursery; Climate change; Stakeholder survey; Great britain;
   Biosecurity; Seed sourcing
ID CONCEPTUAL ISSUES; LOCAL ADAPTATION; SCOTS PINE; POPULATIONS;
   RESILIENCE; FUTURE
AB In recent years, numerous articles have addressed management strategies aimed at assisting forests to adapt to climate change. However, these seldom take into account the practical and economic implications of implementing these strategies, notably, supply of forest plants and seed. Using semi-structured interviews with practitioners involved in the plant and seed supply chain in Great Britain, we highlight a series of practical and economic bottlenecks commonly encountered in the supply of locally sourced seed and domestically produced planting stock for native woodland and hedging markets. We find that adoption of alternative seed sourcing strategies, designed specifically to account for directional climate warming, is likely to exacerbate existing problems by adding further complexity to decisions nurseries make about tree species and seed origins to produce. The lack of long-term market predictability brought about by the current configuration of forestry grants and regulations and, in particular, the administrative systems for processing grant applications is identified as a major impediment to having a sustainable and competitive supply of home-grown and currently adapted planting stock. Finally, the time and effort it takes to supply healthy plants for native woodland creation projects deserves much wider recognition throughout the industry and will be crucial if planting objectives are to be met sustainably. Crown Copyright (C) 2016 Published by Elsevier Ltd.
C1 [Whittet, Richard; Ennos, Richard] Sch Biol Sci, Ashworth Labs, Inst Evolutionary Biol, Charlotte Auerbach Rd, Edinburgh EH9 3FL, Midlothian, Scotland.
   [Whittet, Richard; Cavers, Stephen] Ctr Ecol & Hydrol, Bush Estate, Penicuik EH26 0QB, Midlothian, Scotland.
   [Cottrell, Joan; Pecurul, Mireia] Forest Res, No Res Stn, Roslin EH25 9SY, Midlothian, Scotland.
C3 University of Edinburgh; UK Centre for Ecology & Hydrology (UKCEH)
RP Whittet, R (corresponding author), Sch Biol Sci, Ashworth Labs, Inst Evolutionary Biol, Charlotte Auerbach Rd, Edinburgh EH9 3FL, Midlothian, Scotland.
EM richardwhittet@gmail.com
RI Cavers, Stephen/B-7806-2010
OI Cavers, Stephen/0000-0003-2139-9236; Whittet,
   Richard/0000-0002-5481-227X
FU Forestry Commission Scotland; Forestry Commission GB; ClimateXChange;
   PROTREE 'Promoting resilience of UK tree species to novel pests and
   pathogens: ecological and evolutionary solutions' - BBSRC Tree Health
   and Plant Biosecurity Initiative, Phase 2, an initiative of the Living
   with Environmental Change (LWEC) partnership; BBSRC [BB/L012243/1,
   BB/L012324/1] Funding Source: UKRI; NERC [ceh020002] Funding Source:
   UKRI
FX This work was supported via a studentship funded by Forestry Commission
   Scotland; Forestry Commission GB and ClimateXChange. Further support was
   provided via PROTREE 'Promoting resilience of UK tree species to novel
   pests and pathogens: ecological and evolutionary solutions', a project
   funded by the BBSRC Tree Health and Plant Biosecurity Initiative, Phase
   2, an initiative of the Living with Environmental Change (LWEC)
   partnership.
CR Aitken S.N., 2013, ANNU REV ECOL EVOL S, V44, P367, DOI DOI 10.1146/annurev-ecolsys-110512-135747
   [Anonymous], CLASSINT CHOOSE UNIV
   [Anonymous], 2012, CONFOR WELCOMES GOVT
   [Anonymous], 1999, 8 FOR COMM
   [Anonymous], 2006, SCOTT FOR STRAT
   [Anonymous], 2010, MAN ANC NAT WOODL EN
   Boshier D, 2005, FORESTRY, V78, P135, DOI 10.1093/forestry/cpi013
   Brasier CM, 2008, PLANT PATHOL, V57, P792, DOI 10.1111/j.1365-3059.2008.01886.x
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Broadhurst L, 2015, ECOL MANAG RESTOR, V16, P29, DOI 10.1111/emr.12148
   Broadhurst LM, 2016, BIOSCIENCE, V66, P73, DOI 10.1093/biosci/biv155
   Broadmeadow MSJ, 2005, FORESTRY, V78, P145, DOI 10.1093/forestry/cpi014
   Bucharova A., 2016, J APPL ECOL
   Cavers S, 2015, FORESTRY, V88, P13, DOI 10.1093/forestry/cpu027
   De Kort H, 2014, J APPL ECOL, V51, P1218, DOI 10.1111/1365-2664.12305
   Dhubháin AN, 2009, LAND USE POLICY, V26, P695, DOI 10.1016/j.landusepol.2008.09.003
   Forestry Commission, 2007, ENGL FOR STRAT NEW F
   Forestry Commission, 2011, FOR WAT UK FOR STAND
   Forestry Commission, 2007, FOR REPR MAT REG CON
   Forestry Commission Scotland, 2006, SEED SOURC PLANT NAT
   FORREST GI, 1980, FORESTRY, V53, P101, DOI 10.1093/forestry/53.2.101
   Glaser B. G, 2009, STRATEGIE BADANIA JA
   Gordon A., 1998, TREE NEWS        AUT, P15
   Górriz-Mifsud E, 2015, EUR J FOREST RES, V134, P585, DOI 10.1007/s10342-015-0874-2
   Gosling P., 2007, Raising trees and shrubs from seed. Forestry Commission Practice Guide
   Hajjar R, 2015, FOREST POLICY ECON, V61, P59, DOI 10.1016/j.forpol.2015.08.004
   Hemery G., 2015, Awareness, action and aspiration among Britain's forestry community relating to environmental change: Report of the British Woodlands Survey 2015
   Hubert J, 2007, 86 FOR COMM
   Hubert J., 2006, 82 FOR COMM
   Jung T, 2016, FOREST PATHOL, V46, P134, DOI 10.1111/efp.12239
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KINLOCH BB, 1986, NEW PHYTOL, V104, P703, DOI 10.1111/j.1469-8137.1986.tb00671.x
   Koenig WD, 2000, AM NAT, V155, P59, DOI 10.1086/303302
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Liebhold AM, 2012, FRONT ECOL ENVIRON, V10, P135, DOI 10.1890/110198
   Macaskill M., 2016, CANT SEE WOOD BURNT
   MacLeod CJ, 2006, AGR ECOSYST ENVIRON, V115, P201, DOI 10.1016/j.agee.2006.01.003
   McKay JK, 2005, RESTOR ECOL, V13, P432, DOI 10.1111/j.1526-100X.2005.00058.x
   Morison J., 2010, CLIMATE CHANGE IMPAC
   O'Neill GA, 2014, FOREST ECOL MANAG, V328, P122, DOI 10.1016/j.foreco.2014.05.039
   Potter C, 1998, J RURAL STUD, V14, P287, DOI 10.1016/S0743-0167(97)00057-0
   Potter C., 1996, ENGLISH NATURE RES R, V196
   Prober SM, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00065
   REHFELDT GE, 1994, P C INT CED HEML WHI
   Rikala R., 2000, Tree Planters' Notes, V49, P56
   Russell K., 2003, HORTICULTURE RES INT
   Serbruyns I, 2006, FOREST POLICY ECON, V9, P285, DOI 10.1016/j.forpol.2005.06.012
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   SILVERTOWN JW, 1980, BIOL J LINN SOC, V14, P235, DOI 10.1111/j.1095-8312.1980.tb00107.x
   Vander Mijnsbrugge K, 2010, BASIC APPL ECOL, V11, P300, DOI 10.1016/j.baae.2009.09.002
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   Weir J., 2015, FOR J, V2, P16
   Welsh Assembly Government, 2009, WOODL WAL WELSH ASS
   Whittet R., FORESTRY IN PRESS
   Willoughby I, 2004, CREATING NEW BROADLE
NR 55
TC 27
Z9 28
U1 0
U2 67
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD DEC 15
PY 2016
VL 58
BP 415
EP 426
DI 10.1016/j.landusepol.2016.07.027
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DY1JJ
UT WOS:000384851000036
PM 27990041
OA Green Accepted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Plagányi, ÉE
   Skewes, TD
   Dowling, NA
   Haddon, M
AF Plaganyi, Eva E.
   Skewes, Timothy D.
   Dowling, Natalie A.
   Haddon, Malcolm
TI Risk management tools for sustainable fisheries management under
   changing climate: a sea cucumber example
SO CLIMATIC CHANGE
LA English
DT Article
ID STRATEGIES; RESPONSES; FISH
AB Sustainable fisheries management into the future will require both understanding of and adaptation to climate change. A risk management approach is appropriate due to uncertainty in climate projections and the responses of target species. Management strategy evaluation (MSE) can underpin and support effective risk management. Climate change impacts are likely to differ by species and spatially. We use a spatial MSE applied to a multi-species data-poor sea cucumber/beche-de-mer fishery to demonstrate the utility of MSE to test the performance of alternative harvest strategies in meeting fishery objectives; this includes the ability to manage through climate variability and change, and meeting management objectives pertaining to resource status and fishery economic performance. The impacts of fishing relative to the impacts of climate change are distinguished by comparing future projection distributions relative to equivalent no-fishing no-climate-change trials. The 8 modelled species exhibit different responses to environmental variability and have different economic value. Status quo management would result in half the species falling below target levels, moderate risks of overall and local depletion, and significant changes in species composition. The three simple strategies with no monitoring (spatial rotation, closed areas, multi-species composition) were all successful in reducing these risks, but with fairly substantial decreases in the average profit. Higher profits (for the same risk levels) could only be achieved with strategies that included monitoring and hence adaptive management. Spatial management approaches based on adaptive feedback performed best overall.
C1 [Plaganyi, Eva E.; Skewes, Timothy D.] CSIRO Wealth Oceans Flagship, CMAR, Brisbane, Qld 4001, Australia.
   [Dowling, Natalie A.; Haddon, Malcolm] CSIRO Wealth Oceans Flagship, CMAR, Hobart, Tas 7001, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Plagányi, ÉE (corresponding author), CSIRO Wealth Oceans Flagship, CMAR, GPO Box 2583, Brisbane, Qld 4001, Australia.
EM eva.plaganyi-lloyd@csiro.au
RI Dowling, Natalie/D-9376-2014; Plaganyi, Eva/C-5130-2011; Skewes,
   Timothy/N-9530-2015
OI Haddon, Malcolm/0000-0001-6971-7585; Plaganyi, Eva/0000-0002-4740-4200;
   Skewes, Timothy/0000-0002-8972-6734
FU CSIRO, Australia
FX EP gratefully acknowledges funding from the organisers to attend the
   International Workshop on Climate and Ocean Fisheries, Rarotonga, 3-5
   October 2011. This research was funded by CSIRO, Australia. We thank Rik
   Buckworth, Nicole Murphy and three anonymous reviewers for comments on
   an earlier version of the manuscript.
CR A'mar ZT, 2009, ICES J MAR SCI, V66, P1614, DOI 10.1093/icesjms/fsp044
   Anderson SC, 2011, FISH FISH, V12, P317, DOI 10.1111/j.1467-2979.2010.00397.x
   [Anonymous], SURVEY HOLOTHURIA SC
   [Anonymous], NCCARF PUBLICATION
   [Anonymous], STOCK SURVEY SUSTAIN
   [Anonymous], MODELLING QUANTITATI
   [Anonymous], EVALUATING MANAGEMEN
   [Anonymous], NATL EMERGENCY RISK
   [Anonymous], RECOVERY HOLOTHURIA
   Brown CJ, 2010, GLOBAL CHANGE BIOL, V16, P1194, DOI 10.1111/j.1365-2486.2009.02046.x
   Chin A, 2010, GLOBAL CHANGE BIOL, V16, P1936, DOI 10.1111/j.1365-2486.2009.02128.x
   Cooke JG, 1999, ICES J MAR SCI, V56, P797, DOI 10.1006/jmsc.1999.0552
   Dowling NA, 2008, FISH RES, V94, P380, DOI 10.1016/j.fishres.2008.09.033
   Fletcher WJ, 2005, ICES J MAR SCI, V62, P1576, DOI 10.1016/j.icesjms.2005.06.005
   Hobday AJ, 2011, FISH RES, V108, P372, DOI 10.1016/j.fishres.2011.01.013
   Hollowed AB, 2011, ICES J MAR SCI, V68, P984, DOI 10.1093/icesjms/fsr085
   Hollowed AB, 2009, ICES J MAR SCI, V66, P1584, DOI 10.1093/icesjms/fsp057
   Holt CA, 2009, FISH RES, V100, P57, DOI 10.1016/j.fishres.2009.03.002
   Ianelli JN, 2011, ICES J MAR SCI, V68, P1297, DOI 10.1093/icesjms/fsr010
   Myers RA, 1995, CAN TECH REP FISH AQ, V2024, P1
   Norman-López A, 2013, FISH RES, V148, P18, DOI 10.1016/j.fishres.2012.02.026
   Plagányi EE, 2011, MAR FRESHWATER RES, V62, P1132, DOI 10.1071/MF10279
   Plagányi ÉE, 2011, ICES J MAR SCI, V68, P1305, DOI 10.1093/icesjms/fsr049
   Rademeyer RA, 2007, ICES J MAR SCI, V64, P618, DOI 10.1093/icesjms/fsm050
   Sainsbury KJ, 2000, ICES J MAR SCI, V57, P731, DOI 10.1006/jmsc.2000.0737
   Skewes T., 2010, Torres Strait Hand Collectables, 2009 Survey: Sea Cucumber
   Smith ADM, 2007, ICES J MAR SCI, V64, P633, DOI 10.1093/icesjms/fsm041
   Steele JH, 2010, J MARINE SYST, V83, P99, DOI 10.1016/j.jmarsys.2010.06.006
   Treut H.Le., 2007, Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC)
   Uthicke S, 2004, CONSERV BIOL, V18, P1395, DOI 10.1111/j.1523-1739.2004.00309.x
   Walters C J., 1986, Adaptive management of renewable resources, P374
   Wilson D., 2010, Fishery Status Reports 2009: Status of Fish Stocks and Fisheries Managed by the Australian Government
NR 32
TC 38
Z9 40
U1 0
U2 63
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUL
PY 2013
VL 119
IS 1
SI SI
BP 181
EP 197
DI 10.1007/s10584-012-0596-0
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 185GC
UT WOS:000321953700014
DA 2025-01-10
ER

PT J
AU Bin Muzaffar, S
   Islam, MA
   Kabir, DS
   Khan, MH
   Ahmed, FU
   Chowdhury, GW
   Aziz, MA
   Chakma, S
   Jahan, I
AF Bin Muzaffar, Sabir
   Islam, M. Anwarul
   Kabir, Dihider Shahriar
   Khan, Mamunul Hoque
   Ahmed, Farid Uddin
   Chowdhury, Gawsia Wahidunnessa
   Aziz, M. Abdul
   Chakma, Suprio
   Jahan, Israt
TI The endangered forests of Bangladesh: why the process of implementation
   of the Convention on Biological Diversity is not working
SO BIODIVERSITY AND CONSERVATION
LA English
DT Article
DE Forests; Bangladesh; Ecosystem approach; Implementation; CBD; Program of
   work
AB Bangladesh has been a signatory to the Convention on Biological Diversity (CBD) although implementation of the convention has been poor. We independently assessed the extent to which the program of work (POW) of the CBD has been implemented in Bangladesh by carrying out workshops involving local communities, conservation organizations, universities, and government departments involved in forest conservation. Our analyses indicate that there is little or no understanding of the ecosystem approach that is central to the CBD; forestry practices remain primitive and largely ineffective; forest destruction continues at high rates; restoration of degraded forests are minimal; protected areas are small and ineffective; indigenous peoples' rights are nominal and are outside any legislation; threats to species have been identified, but little is being done to reduce threats; there is no work on pollution and its mitigation; some work has been done to adapt to climate change; the institutional environment does not enable effective implementation of the ecosystem approach; laws and policies are ineffective; institutional capacity is poor; government will is limited or totally lacking; and knowledge base remains poor, although reporting has improved and various strategic plans have been formulated but never implemented. Thus, the implementation of CBD in Bangladesh requires systemic changes in policy at the institutional levels as well as complementary changes in attitudes and avenues of alternate income generation.
C1 [Bin Muzaffar, Sabir] United Arab Emirates Univ, Dept Biol, Fac Sci, Al Ain, U Arab Emirates.
   [Bin Muzaffar, Sabir; Kabir, Dihider Shahriar] IUB, Sch Environm Sci & Management, Dhaka, Bangladesh.
   [Islam, M. Anwarul] Univ Dhaka, Dept Zool, Dhaka 1000, Bangladesh.
   [Islam, M. Anwarul; Chowdhury, Gawsia Wahidunnessa; Aziz, M. Abdul; Chakma, Suprio; Jahan, Israt] Wildlife Trust Bangladesh, Dhaka, Bangladesh.
   [Khan, Mamunul Hoque] UNDP, Dhaka, Bangladesh.
   [Khan, Mamunul Hoque] Curtin Univ, Curtin Univ Sustainabil Policy Inst CUSP, Perth, WA, Australia.
   [Ahmed, Farid Uddin] Arannayk Fdn, Dhaka, Bangladesh.
   [Chowdhury, Gawsia Wahidunnessa] Noakhali Sci & Technol Univ, Dept Fisheries & Marine Sci, Noakhali, Bangladesh.
   [Aziz, M. Abdul] Jahangirnagar Univ, Dept Zool, Dhaka, Bangladesh.
C3 United Arab Emirates University; Independent University Bangladesh
   (IUB); University of Dhaka; Curtin University; Noakhali Science &
   Technology University (NSTU); Jahangirnagar University
RP Bin Muzaffar, S (corresponding author), United Arab Emirates Univ, Dept Biol, Fac Sci, POB 17551, Al Ain, U Arab Emirates.
EM s_muzaffar@uaeu.ac.ae
RI Jahan, Israt/HTN-5060-2023; Muzaffar, Sabir/AAP-7176-2020; Islam, Md
   Anwarul/KHY-8252-2024
OI Muzaffar, Sabir/0000-0001-9195-1677
FU Global Forest Coalition
FX Funding for this work was provided by Global Forest Coalition. We thank
   Miguel Lovera for encouragement and facilitation of this work. We thank
   all participating institutions and their employees especially the
   Bangladesh Forest Department, Ministry of Environment and Forests.
CR Aguilar-Stoen M, 2003, ENVIRON CONSERV, V30, P131, DOI 10.1017/S0376892903000110
   Akter A., 2009, International Journal of Biodiversity and Conservation, V1, P129
   [Anonymous], 2002, BIOECOLOGICAL ZONES
   AZIZ M.A, 2008, CONNECTING COMMUNITI
   Barlow ACD, 2008, BIOL CONSERV, V141, P2032, DOI 10.1016/j.biocon.2008.05.018
   BARUA SP, 1999, P WORKSH AL INV SPEC, P1
   BERNAUER T, 1995, INT ORGAN, V49, P351, DOI 10.1017/S0020818300028423
   BFD/MoEF, 2000, 1 5 YEAR MAN PLAN LA
   *CBD, 2000, SUST LIF EARTH CONV, P20
   *CBD, 2004, EXP PROGR WORK FOR B, P22
   De Oliveira JosePuppim., 2008, Implementation of Environmental Policies in Developing Countries: A Case of Protected Areas and Tourism in Brazil
   DeCosse P.J., 2006, POL MATTERS, V14, P134
   Feeroz M.M., 1992, ECOLOGY BEHAV HOOLOC, P76
   *FOR DEP MIN ENV F, 1994, NATL FOR POL, P78
   GAIN P, 2002, BANGLADESH ENV FACIN, P341
   GEISEN W, 2000, MANAGEMENT PLAN TANG, P218
   Guruswamy LD, 1999, ENVIRON CONSERV, V26, P79, DOI 10.1017/S0376892999000120
   ISLAM M.A., 2006, Technical Report, P48
   *IUCN, 2000, RED BOOK THREAT AN B, P138
   Kabir DS, 2002, BANGLADESH ENV 2002, P389
   LOVERA M, 2008, FORESTS BIODIVERSITY, P27
   McNeely JA, 1999, ENVIRON CONSERV, V26, P250, DOI 10.1017/S0376892999000351
   *MIN ENV FOR, 1992, NATL CONS STRAT, P74
   MOEF, 2008, Bangladesh Climate Change Strategy and Action Plan G.o.t.P.s.R.o.B, P68
   Muzaffar SB, 2007, BIOTROPICA, V39, P539, DOI 10.1111/j.1744-7429.2007.00298.x
   *NBSAP, 2004, BANGL NATL BIOD STRA, P74
   *NSP, 2007, NISH BANGL PROT AR C
   Rasul G, 2007, ENVIRON CONSERV, V34, P153, DOI 10.1017/s0376892907003888
   REZA AHMA, 2004, BENGAL TIGER BANGLAD, P141
   Richerzhagen C, 2005, ECOL ECON, V53, P445, DOI 10.1016/j.ecolecon.2004.06.031
   Roy MK., 2006, Policy Matters, V14, P93
   Siebenhüner B, 2005, ECOL ECON, V53, P507, DOI 10.1016/j.ecolecon.2004.10.012
NR 32
TC 21
Z9 23
U1 0
U2 27
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0960-3115
EI 1572-9710
J9 BIODIVERS CONSERV
JI Biodivers. Conserv.
PD JUN
PY 2011
VL 20
IS 7
BP 1587
EP 1601
DI 10.1007/s10531-011-0048-6
PG 15
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 765RL
UT WOS:000290726200015
DA 2025-01-10
ER

PT J
AU Oluoko-Odingo, AA
AF Oluoko-Odingo, Alice Atieno
TI Vulnerability and Adaptation to Food Insecurity and Poverty in Kenya
SO ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS
LA English
DT Article
DE food security; livelihoods; poverty; resilience; vulnerability
ID LIVELIHOODS
AB Poor and hungry populations are less resilient to stress and disasters and rely a great deal on the natural environment, as they lack the capacity and the resources required to recover from disasters. The current projected climatic change is likely to have a great impact among food-insecure and poor populations due to the projected effects on food availability, water resources, and health, as well as accessibility to infrastructural services, which is minimal, if not lacking completely, among vulnerable and poor households. This article discusses livelihoods and ways of reducing vulnerability to climate change-related disasters to increase adaptation to future impacts of climate change in Nyando and similar medium potential areas of Kenya, where major impacts are expected. The study used both primary and secondary data; used various sampling techniques; and employed analytical techniques such as multiple correlation and regression analysis, stepwise multiple regression analysis, principal components analysis, factor analysis, and cluster analysis. The findings of this research revealed that in terms of food security, poverty was the main contributor to food insecurity, although climate complicated the issue, with the health of the farmer and her experience emerging as the most important in the fight against food insecurity among smallholder farmers. As part of the conclusion, it was recommended that to deal with food insecurity and poverty, policies must emphasize increased food production using suitable environmental conservation techniques to adapt to climate change while also encouraging sustainable livelihood systems.
C1 Univ Nairobi, Dept Geog & Environm Studies, Nairobi 00100, Kenya.
C3 University of Nairobi
RP Oluoko-Odingo, AA (corresponding author), Univ Nairobi, Dept Geog & Environm Studies, POB 30197, Nairobi 00100, Kenya.
EM aaodingo@yahoo.com
RI Oluoko-Odingo, Alice/JJF-8196-2023
CR *ACT AID, FLOODS HIT KEN
   [Anonymous], LIVESTOCK RES RURAL
   [Anonymous], 2000, RISK MANAG, DOI DOI 10.1057/PALGRAVE.RM.8240068
   [Anonymous], 1987, OUR COMMON FUTURE RE
   AWUOR VO, 1997, POTENTIAL IMPACTS CL, P3
   BROWN LB, 1968, AGR CHANGE KENYA
   Central Bureau of Statistics, 2003, GEOGR DIM WELL BEING, VI
   *CTR INT CLIM ENV, 2009, VULN COP DROUGHTS KE
   CUTTER SL, 2002, HIST ASSESSMENT SOCI
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   *DMCN UNEP, 2004, COP FLOODS KEN VULN
   ESLINGER S, 2008, COMMUNITY VULNERABIL
   FAO, 2004, 0418 FAO ESA
   *FAO, 2000, COMM WORLD FOOD SEC
   FAO, 1999, STAT FOOD INS WORLD
   Fara Katiuscia., 2001, Risk Management, V3, P47
   Francis E, 2002, J S AFR STUD, V28, P531, DOI 10.1080/0305707022000006503
   Hollander JA, 2001, GENDER SOC, V15, P83, DOI 10.1177/089124301015001005
   *IGAD DMCN, 2002, FACT WEATH CLIM INF
   *IISD IUCN SEI B, 2003, LIV CLIM CHANG COMB
   ILRI, 2006, MAPP CLIM VULN POV A
   *INT FUND AGR DEV, 2009, GEND FOOD SEC
   IPCC, 2001, CLIM CHANG 2001 IMPA
   *KEN RED CROSS SOC, 2009, KENY DROUGHTS COMM B
   KURUKULASURIYA P, 2008, 4717 SUST RUR URB DE
   Mendelsohn R., 2000, CLIMATE CHANGE IMPAC
   *MIN FIN PLANN, 2000, 2 REP POV KEN, V1
   Murray C, 2002, J S AFR STUD, V28, P489, DOI 10.1080/0305707022000006486
   *NAT CTR ATM RES, 2009, COP DROUGHT KEN NAT
   *NAT OC ATM ADM, 2008, VULN ASS TECHN APPL
   ODINGO RS, 1990, SOILS WARMER EARTH, P231
   Odingo RS., 1971, KENYA HIGHLANDS LAND
   OGALLO LA, 1993, P INDIAN AS-EARTH, V102, P203
   OGALLO LA, 1981, J SCI TECHNOL, V2, P83
   Oluoko-Odingo AA, 2009, GEOJOURNAL, V74, P311, DOI 10.1007/s10708-008-9238-5
   OLUOKOODINGO AA, 2006, THESIS U NAIROBI KEN
   OLUOKOODINGO AA, 2008, CTR TRAIN RES ASAL D
   OMOSA M, 1998, THESIS LANDBOUW U WA
   ORODHO JA, 2009, POPULATION GROWTH GE
   PARRY ML, 1991, CLIMATE CHANGE SCI I, P276
   PARRY ML, 1990, POTENTIAL EFFECTS CL
   PATRIAIK U, 1996, ECON POLIT WEEKLY, V31, P2429
   PEARCE D, 1996, CLIMATE CHANGE 1995, P177
   *REP KEN, 1974, NAT DEV PLAN PER 197
   *REP KEN, 1989, NAT DEV PLAN PER 198
   *REP KEN, 2004, STRAT REVITALIZING A
   *REP KEN, 1970, NAT DEV PLAN PER 197
   *REP KEN, 1997, NAT DEV PLAN PER 199
   *REP KEN, 1955, PLAN INT DEV AFR AGR
   *REP KEN, 1981, 4 NAT FOOD POL
   *REP KEN, 1966, NAT DEV PLAN PER 196
   Republic of Kenya, 2002, NAT DEV PLAN PER 200
   Robledo C, 2004, MT RES DEV, V24, P14, DOI 10.1659/0276-4741(2004)024[0014:ITROHC]2.0.CO;2
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Salih M. A. M, 1996, ECON POLIT WEEKLY, V31, P1934
   *SURV KEN, 1970, NAT ATL KEN
   SWAMINATHAN MS, 1991, CLIMATE CHANGE SCI I, P265
   Tol RSJ, 2002, ENVIRON RESOUR ECON, V21, P47, DOI 10.1023/A:1014500930521
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   *US DEP JUST, 2002, METH ACC VULN US CHE
   *USDHS, 2003, VULN ASS METH REP JU
   Washington R, 1999, GEOGR J, V165, P255, DOI 10.2307/3060442
   WISNER B, 2008, SOCIAL VULNERABILITY
   *WORLD BANK, 1980, WORLD BANKS WORLD RE
   [World Bank UNDP UNEP World Resources Institute], 1998, 1998 1999 WORLD RES
NR 65
TC 40
Z9 50
U1 2
U2 59
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0004-5608
EI 1467-8306
J9 ANN ASSOC AM GEOGR
JI Ann. Assoc. Am. Geogr.
PY 2011
VL 101
IS 1
BP 1
EP 20
AR PII 931175052
DI 10.1080/00045608.2010.532739
PG 20
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 714QZ
UT WOS:000286825400001
DA 2025-01-10
ER

PT J
AU Mahmuti, M
   West, JS
   Watts, J
   Gladders, P
   Fitt, BDL
AF Mahmuti, M.
   West, J. S.
   Watts, J.
   Gladders, P.
   Fitt, B. D. L.
TI Controlling crop disease contributes to both food security and climate
   change mitigation
SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
LA English
DT Article
DE adaptation to climate change; disease resistance; food security;
   fungicides; greenhouse gas emissions; oilseed rape
ID GREENHOUSE-GAS MITIGATION; PHOMA STEM CANKER; PLANT-DISEASE; OILSEED
   RAPE; LEPTOSPHAERIA-MACULANS; RESISTANCE; PATHOGENS; IMPACT
AB Global food security is threatened by crop diseases that account for average yield losses of 16 per cent, with the greatest losses experienced by subsistence farmers in the developing world. Climate change is exacerbating the threats to food security in such areas, emphasizing the need to increase food production in northern European countries such as the UK. However, the crops must be grown in such a way as to minimize greenhouse gas (GHG) emissions associated with their production. As an example, it is estimated that production of UK winter oilseed rape is associated with GHG of 3300 kg CO2 eq. ha(-1) of crop and 834 kg CO2 eq. t(-1) of seed yield, with 79 per cent of the GHG associated with the use of nitrogen fertilizer. Furthermore, it is estimated that control of diseases by use of fungicides in this UK oilseed rape is associated with a decrease in GHG of 100 kg CO2 eq. t(-1) of seed. Winter oilseed rape cultivar disease resistance is associated with a decrease in GHG of 56 kg CO2 eq. t(-1), although this figure is an underestimate. These results demonstrate how disease control in arable crops can make a contribution to both climate change mitigation and sustainable arable crop production to ensure global food security.
C1 [Mahmuti, M.; West, J. S.; Fitt, B. D. L.] Rothamsted Res, Harpenden AL5 2JQ, Herts, England.
   [Watts, J.] Agr & Hort Dev Board, HGCA, Kenilworth CV8 2TL, Warwick, England.
   [Gladders, P.] ADAS Boxworth, Boxworth CB23 4NN, Cambs, England.
C3 UK Research & Innovation (UKRI); Biotechnology and Biological Sciences
   Research Council (BBSRC); Rothamsted Research; Agriculture &
   Horticulture Development Board (AHDB)
RP Fitt, BDL (corresponding author), Rothamsted Res, Harpenden AL5 2JQ, Herts, England.
EM bruce.fitt@bbsrc.ac.uk
RI ; West, Jonathan/D-6098-2011
OI Bruce D. L., Fitt/0000-0003-3981-6456; West,
   Jonathan/0000-0002-5211-2405
FU HGCA; UK Department for Environment, Food and Rural Affairs; CORDISOR;
   CLIMDIS
FX The authors are grateful for the funding and information provided by
   HGCA and the UK Department for Environment, Food and Rural Affairs,
   including the Sustainable Arable LINK projects CORDISOR and CLIMDIS.
   Rothamsted Research is an institute of the UK Biotechnology and
   Biological Sciences Research Council. We are grateful to Gordon Dailey
   and Peter Street for advice about this work and to James Townsend for
   assistance with the paper.
CR Anderson PK, 2004, TRENDS ECOL EVOL, V19, P535, DOI 10.1016/j.tree.2004.07.021
   [Anonymous], 2000, FERT REC AGR HORT CR
   [Anonymous], 2004, 231 SHEFF HALL U
   [Anonymous], IS0205 DEFRA
   [Anonymous], 2007, BRIT SURV FERT PRACT
   Berry PM, 2008, PLANT PATHOL, V57, P1000, DOI 10.1111/j.1365-3059.2008.01899.x
   Booth E., 2005, Economic evaluation of biodiesel production from oilseed rape grown in north and east Scotland
   Boys EF, 2007, EUR J PLANT PATHOL, V118, P307, DOI 10.1007/s10658-007-9141-9
   Butterworth MH, 2010, J R SOC INTERFACE, V7, P123, DOI 10.1098/rsif.2009.0111
   Chakraborty S, 2000, ENVIRON POLLUT, V108, P317, DOI 10.1016/S0269-7491(99)00210-9
   *DEFRA, 2003, NAT NONF CROPS CTR N
   *DEFRA, 2008, CER OILS RAP PROD ES
   Edwards R., 2006, WELL TO WHEELS ANAL
   Eggleston HS., 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories, V4
   Evans N, 2008, J R SOC INTERFACE, V5, P525, DOI 10.1098/rsif.2007.1136
   FAO, 2007, Climate change and food security: a framework document
   Fitt BDL, 2008, PLANT PATHOL, V57, P652, DOI 10.1111/j.1365-3059.2008.01841.x
   Fitt BDL, 2006, EUR J PLANT PATHOL, V114, P3, DOI 10.1007/s10658-005-2233-5
   Food and Agricultural Organisation of the United Nations (FAO), 2006, FOOD SEC
   Frow E, 2009, FOOD SECUR, V1, P17, DOI 10.1007/s12571-008-0007-6
   Garrett KA, 2006, ANNU REV PHYTOPATHOL, V44, P489, DOI 10.1146/annurev.phyto.44.070505.143420
   Garthwaite D. G., 2006, PESTICIDE USAGE SURV
   Glendining MJ, 2009, AGR SYST, V99, P117, DOI 10.1016/j.agsy.2008.11.001
   Gregory PJ, 2009, J EXP BOT, V60, P2827, DOI 10.1093/jxb/erp080
   GREGORY PJ, 2003, HGCAR D C AR CROPP C, P12
   *HGCA, 2008, HGCA REC LIST PLUS
   JACKSON J, 2007, GREENHOUSE GAS INVEN
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   NIX J, 2007, J NIX FARM MANAGEMEN
   Oerke EC, 2006, J AGR SCI-CAMBRIDGE, V144, P31, DOI 10.1017/S0021859605005708
   Pinstrup-Andersen P, 2009, FOOD SECUR, V1, P5, DOI 10.1007/s12571-008-0002-y
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Smith P, 2007, AGR ECOSYST ENVIRON, V118, P6, DOI 10.1016/j.agee.2006.06.006
   SPINK J, 2003, REPORT GOVT CHIEF SC
   SPRAGUE SJ, 2006, EUROPEAN J PLANT, V115, P33, DOI DOI 10.1007/S10658-005-2108-9
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Strange RN, 2005, ANNU REV PHYTOPATHOL, V43, P83, DOI 10.1146/annurev.phyto.43.113004.133839
   Stukenbrock EH, 2008, ANNU REV PHYTOPATHOL, V46, P75, DOI 10.1146/annurev.phyto.010708.154114
   WEST JS, 2008, 446 HGCA
NR 40
TC 45
Z9 47
U1 1
U2 55
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1473-5903
EI 1747-762X
J9 INT J AGR SUSTAIN
JI Int. J. Agric. Sustain.
PY 2009
VL 7
IS 3
BP 189
EP 202
DI 10.3763/ijas.2009.0476
PG 14
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA 514YT
UT WOS:000271433500005
DA 2025-01-10
ER

PT J
AU Etkin, D
   Medalye, J
   Higuchi, K
AF Etkin, David
   Medalye, J.
   Higuchi, K.
TI Climate warming and natural disaster management: An exploration of the
   issues
SO CLIMATIC CHANGE
LA English
DT Article
ID CHANGE ADAPTATION; RISK REDUCTION; VULNERABILITY
AB This paper explores two issues that have been receiving increasing attention in recent decades, climate change adaptation and natural disaster risk reduction. An examination of the similarities and differences between them reveals important linkages but also significant differences, including the spectrum of threats, time and spatial scales, the importance of local versus global processes, how risks are perceived, and degree of uncertainty. Using a risk perspective to analyze these issues, preferential strategies emerge related to choices of being proactive, reactive, or emphasizing risk management as opposed to the precautionary principle. The policy implications of this analysis are then explored, using Canada as a case study.
C1 [Etkin, David; Medalye, J.] York Univ, Fac Liberal Arts & Profess Studies, Toronto, ON M3J 1P3, Canada.
   [Higuchi, K.] York Univ, Fac Environm Studies, Toronto, ON M3J 1P3, Canada.
C3 York University - Canada; York University - Canada
RP Etkin, D (corresponding author), York Univ, Fac Liberal Arts & Profess Studies, 4700 Keele St, Toronto, ON M3J 1P3, Canada.
EM etkin@yorku.ca
CR [Anonymous], 2007, Smoke, mirrors hot air: How exxonmobil uses big tobacco's tactics to manufacture uncertainty on climate science
   [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], LINK CLIM CHANG AD D
   [Anonymous], 2008, LINKING CLIMATE CHAN
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2007, GIFEMWG2007004 OECD
   [Anonymous], CARS CHOLERA COWS MA
   [Anonymous], HEATWAVES DEV WORLDS
   Berkes F, 2002, CONSERV ECOL, V5
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Canadian Broadcasting Corporation (CBC), 2010, CBC NEWS        0808
   Commoner B., 1971, The Closing Circle Knopf
   Davies M, 2009, 20090137 IDS, V2009, P01
   Eakin H, 2010, GLOBAL ENVIRON CHANG, V20, P1, DOI 10.1016/j.gloenvcha.2009.08.002
   Etkin D, 2009, BUILDING SAFER COMMU
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ganzel B, 2003, DUST BOWL 1930S
   Government of British Columbia, 2008, FUT FOR IN
   Government of Canada, 2009, NO STRAT
   Green KC., 2007, ENERG ENVIRON-UK, V18, P997, DOI DOI 10.1260/095830507782616887
   Hansen J, 2008, THREAT PLANET
   Henry Alfred J., 1930, American Meteorological Society. Monthly Weather Review, V58, P351, DOI [https://doi.org/10.1175/1520-0493(1930)582.0.CO;2, DOI 10.1175/1520-0493(1930)582.0.CO;2]
   Higuchi K, 2000, THEOR APPL CLIMATOL, V66, P61, DOI 10.1007/s007040070033
   Holling C.S., 1978, Adaptive environmental assessment and management
   Hovden J., 2004, 6 INT CRN EXP WORKSH, P22
   KAROLY D, 2003, GLOBAL WARMING CONTR
   Klinke A., 2001, J RISK RES, V4, P159, DOI [10.1080/136698701750128105, DOI 10.1080/136698701750128105]
   Kristensen V, 2006, RELIAB ENG SYST SAFE, V91, P421, DOI 10.1016/j.ress.2005.02.006
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Mitchell T, 2010, CONVERGENCE DISASTER
   MOHAJER AA, 1993, GEOGR PHYS QUATERN, V47, P353, DOI 10.7202/032963ar
   Moore AL, 2010, CONSERV BIOL, V24, P984, DOI 10.1111/j.1523-1739.2009.01443.x
   National Round Table on the Environment and the Economy (NRTEE), 2011, EC RISKS OPP CLIM CH
   Nunavut Impact Review Board (NIRB), 2010, COMPL SCREEN FIL 200
   Paehlke R., 2008, SOME IT COLD POLITIC
   Pielke R, 2004, GLOBAL CHANGE NEWS L
   Pielke R, 2008, NATURE, V452, P531, DOI 10.1038/452531a
   Potgieter AB, 2005, J CLIMATE, V18, P1566, DOI 10.1175/JCLI3349.1
   Rhodes V, 2008, CLIMATE SHOULD INFLU
   Risk Management Solutions Inc, 2008, 1998 IC STORM 10 YEA
   Runco M.A., 1999, Encyclopedia of Creativity
   Salafsky N, 2009, ADAPTIVE MANAGEMENT
   Shaw R, 2010, COMM ENV DISAST RISK, V5, P1, DOI 10.1108/S2040-7262(2010)0000005007
   Slovic P., 2000, RISK PERCEPTION
   Stern Sir N, 2007, EC CLIMATE CHANGE ST, P657
   Stuart-Menteth A, UK SUMMER 2007 FLOOD
   Sunstein C. R., 2005, LAWS FEAR PRECAUTION
   van der Schrier G, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006745
   Williams B.K., 2009, Adaptive Management: The U.S. Department of the Interior Technical Guide
NR 50
TC 17
Z9 22
U1 0
U2 58
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2012
VL 112
IS 3-4
BP 585
EP 599
DI 10.1007/s10584-011-0259-6
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 943FJ
UT WOS:000304105600003
DA 2025-01-10
ER

PT J
AU Sarfraz, H
AF Sarfraz, Hamid
TI Revisiting the 1960 Indus Waters Treaty
SO WATER INTERNATIONAL
LA English
DT Article
DE Indus Waters; treaty; watercourses convention; Pakistan; India;
   transboundary waters
AB This article analyzes the strengths and weaknesses of the Indus Waters Treaty (IWT) in light of the UN Watercourses Convention. The IWT is, to a large extent, still relevant but must incorporate contemporary environmental standards and the social realities that are impacting water resources. Proposals for improving the IWT include the incorporation of provisions related to joint research initiatives, optimal use of available resources through mutually negotiated trade-offs, a joint climate change adaptation strategy, consideration of environmental flow needs, and joint water development and energy generation.
C1 IUCN, Islamabad, Pakistan.
RP Sarfraz, H (corresponding author), IUCN, Islamabad, Pakistan.
EM hamid.sarfraz@iucn.org
CR Ahmad S., 2011, INDUS WATERS T UNPUB
   [Anonymous], 2001, PCA OPTIONAL RULES A
   [Anonymous], 1972, STOCKH DECL UN C HUM
   [Anonymous], 2009, TROUBLED WATERS CLIM
   [Anonymous], 2011, NATION          0821
   [Anonymous], 2009, INT FRESHW TREAT DAT
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Dyson M., 2008, Flow - The essentials of environmental flows, V2nd
   Espoo Convention, 1991, UNECE CONV ENV IMP A
   International Law Association, 1966, 52 C HELS, P447
   IWT, 1960, IND WAT TREAT GOV IN
   McIntyre O., 2010, Journal of Environmental Law, V22, P475, DOI 10.1093/jel/eqq019
   McKinney D. C., 2011, TRANSBOUNDARY WATER, P95
   Michel D., 2009, TROUBLED WATERS CLIM
   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]
   Swain Ashok., 2004, Managing Water Conflict: Asia, Africa, and the Middle East
   Tariq S. M., 2010, PAKISTAN INDIA RELAT
   UNWC, 1997, UN UN CONV LAW NONN
   Vinogradov S., 2005, TRANSFORMING POTENTI
   Vivekanandan J., 2009, TROUBLED WATERS CLIM, P1
   Wolf A.T., 2008, Case Study of Transboundary Dispute Resolution: The Environmental Program for the Danube River
   Wouters P. K., 2005, IHP 6 TECHNICAL DOCU, V74
NR 22
TC 18
Z9 21
U1 1
U2 20
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0250-8060
EI 1941-1707
J9 WATER INT
JI Water Int.
PD MAR 1
PY 2013
VL 38
IS 2
SI SI
BP 204
EP 216
DI 10.1080/02508060.2013.784494
PG 13
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA 122GS
UT WOS:000317307000009
DA 2025-01-10
ER

PT J
AU Filippi, ME
AF Filippi, Maria Evangelina
TI A role for municipal governments in leveraging transformative change for
   urban disaster risk management: The experience of Santa Fe, Argentina,
   with urban flood risk
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Disaster risk management; Transformation; Institutionalisation;
   Municipal governments; Santa Fe; Argentina
ID GLOBAL ENVIRONMENTAL-CHANGE; CLIMATE-CHANGE ADAPTATION; INSTITUTIONAL
   ENTREPRENEURSHIP; RESILIENCE; INTERVENTIONS; GOVERNANCE; POLITICS;
   SYSTEMS; CITIES; ORGANIZATIONS
AB The increasing and disproportionate impacts associated with disaster risk and climate change risk in cities and the urgency for action have sparked academic and policy debates about transformation in the context of urban disaster risk management and climate change adaptation. Yet, the vague, ambiguous and diverse understandings of the concept of transformation, combined with a lack of empirical grounding, deter the possibilities of its application in policy and practice, including a constructive engagement with municipal governments in leveraging fundamental change. Building upon the amalgamation of insights from sociological institutionalism, policy process research and complexity theories in organisation studies, the paper proposes an institutionalisation framework as a heuristic device to make sense of transformation. The framework unpacks types, mechanisms and agents of change across three phases - emergence, embeddedness and sustained change - and is applied to analyse the experience of the municipal government of Santa Fe, Argentina, with disaster risk management over a decade. The findings confirm the two productive tensions that traction transformation, namely, change/stability and leadership/networked spaces, and that the loci of fundamental change are distributed across time, space and agentic actors. The framework and case study jointly illustrate intervention points for municipal governments to catalyse transformative change when advancing urban disaster risk management.
C1 [Filippi, Maria Evangelina] Univ Bristol, Sch Sociol Polit & Int Studies, 11 Priory Rd, Bristol BS8 1TU, Avon, England.
   [Filippi, Maria Evangelina] UCL, Bartlett Dev Planning Unit, 34 Tavistock Sq, London WC1H 9EZ, England.
C3 University of Bristol; University of London; University College London
RP Filippi, ME (corresponding author), Univ Bristol, Sch Sociol Polit & Int Studies, 11 Priory Rd, Bristol BS8 1TU, Avon, England.; Filippi, ME (corresponding author), UCL, Bartlett Dev Planning Unit, 34 Tavistock Sq, London WC1H 9EZ, England.
EM evangelina.filippi@bristol.ac.uk
RI Filippi, Maria/AGN-6177-2022
OI Filippi, Maria Evangelina/0000-0001-6182-9208
FU UK Economic and Social Research Council [ES/J500185/1]; IJURR Foundation
   writing-up grant [1622598]
FX Acknowledgements This work has been part of a Ph.D. research funded by
   the UK Economic and Social Research Council [grant ES/J500185/1] and
   supported by the IJURR Foundation writing-up grant [grant 1622598] . The
   author is grateful to all research participants for sharing their
   knowledge and experiences, to Cassidy Johnson and Ryerson Christie for
   their valuable feedback on earlier drafts and to the two anonymous
   reviewers for their insightful comments that improved the quality of the
   original manuscript.
CR Aguirre Madariaga E., 2015, RIESGOS DIVERSIDAD R, P73
   Allen A., 2017, Environmental Justice and Urban Resilience in the Global South, DOI [DOI 10.1080/23340460.2020.1797521, DOI 10.1057/978-1-137-47354-7]
   Allen A., 2002, Sustainable urbanisation
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2015, Adoption of the Paris Agreement
   [Anonymous], 2008, The SAGE handbook of organizational institutionalism, DOI DOI 10.4135/9781849200387
   Aylett A, 2013, URBAN STUD, V50, P1386, DOI 10.1177/0042098013480968
   Aylett A, 2011, ROUTL STUD HUM GEOGR, V35, P142
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Bartlett S., 2016, CITIES FINITE PLANET
   Baumgartner F., 2017, Theories of the Policy Process, V4th, P55
   Biel R, 2014, THEOR CULT SOC, V31, P183, DOI 10.1177/0263276414536624
   Biesbroek R, 2015, NAT CLIM CHANGE, V5, P493, DOI 10.1038/nclimate2615
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Bulkeley H., 2011, Cities and low carbon transitions, Cities and Low Carbon Transitions, DOI [DOI 10.4324/9780203839249, 10.4324/9780203839249]
   Burnes B, 2005, INT J MANAG REV, V7, P73, DOI 10.1111/j.1468-2370.2005.00107.x
   Calvo A., 2015, RIESGOS CATASTROFES, P115
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Broto VC, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.643
   Celis A., 2009, CONSTRUCCION SOCIAL, P29
   Deubelli TM, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd42d
   Esteva Gustavo., 2013, FUTURE DEV RADICAL M
   Fazey I, 2018, CLIM DEV, V10, P197, DOI 10.1080/17565529.2017.1301864
   Feldman MS, 2000, ORGAN SCI, V11, P611, DOI 10.1287/orsc.11.6.611.12529
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Fraser, 2016, CITIES FINITE PLANET, P17
   Fraser A., 2016, J EXTREME EVENTS, DOI [10.1142/S2345737616500081, DOI 10.1142/S2345737616500081]
   Friedland R., 1991, NEW I ORG ANAL, V38, P232, DOI DOI 10.7208/CHICAGO/9780226185941.001.0001
   Garud R, 2007, ORGAN STUD, V28, P957, DOI 10.1177/0170840607078958
   Gibson T.D., 2016, Journal of Extreme Events, V3, P1671002, DOI [DOI 10.1142/S2345737616710020, 10.1142/S2345737616710020]
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Gobierno de la Ciudad de Santa Fe, 2014, LEARN DIS LOC RISK M
   Gobierno de la Ciudad de Santa Fe, 2012, DECRETO DMM 01300 MA
   Gobierno de la Ciudad de Santa Fe, 2013, DECRETO DMM 02425 MA
   Göpfert C, 2019, MITIG ADAPT STRAT GL, V24, P1, DOI 10.1007/s11027-018-9789-9
   Greenwood R, 2006, ACAD MANAGE J, V49, P27
   Guala M. del P., 2009, CONSTRUCCI ON SOCIAL, P153
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   HALL PA, 1993, COMP POLIT, V25, P275, DOI 10.2307/422246
   Hallegatte S., 2017, Unbreakable: Building the Resilience of the Poor in the Face of Natural Disasters
   Hardoy J., 2019, Words into Action guidelines: Implementation guide for local disasterrisk reduction and resilience strategies
   Hardoy JorgeE., 2001, Environmental Problems in an Urbanizing World
   Hardoy J, 2019, ENVIRON URBAN, V31, P33, DOI 10.1177/0956247819825539
   Hardoy J, 2011, ENVIRON URBAN, V23, P401, DOI 10.1177/0956247811416435
   Herzer H., 2009, CONSTRUCCION SOCIAL
   Hordijk M, 2014, ENVIRON URBAN, V26, P130, DOI 10.1177/0956247813519044
   INDEC, 2010, CENS NAC POBL HOG VI
   Integrated Research on Disaster Risk, 2011, FORENSIC INVESTIGATI, V1
   Johnson C., 2011, Creating an Enabling Environment for Reducing Disaster Risk: Recent Experience of Regulatory Frameworks for Land, Planning and Building in Low and Middle
   Kelman Ilan., 2011, Disaster Diplomacy. How disasters affect peace and conflict
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Koch F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010058
   Lavell A, 2014, ENVIRON HAZARDS-UK, V13, P267, DOI 10.1080/17477891.2014.935282
   Lavell A, 2012, ENVIRON HAZARDS-UK, V11, P242, DOI 10.1080/17477891.2012.698845
   Lavell Allan., 2003, Local Level Risk Management
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Levy C, 1996, 74 DPU
   Luque-Ayala A., 2018, Rethinking Urban Transitions. Politics in the Low Carbon City
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Nalau J, 2015, ENVIRON SCI POLICY, V54, P349, DOI 10.1016/j.envsci.2015.07.022
   O'Brien K, 2015, SCIENCE, V350, P1170, DOI 10.1126/science.aad0267
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   OKEEFE P, 1976, NATURE, V260, P566, DOI 10.1038/260566a0
   Oliver-Smith Anthony., 2016, Forensic Investigations of Disasters: A Conceptual Framework and Guide to Research
   Palmer I., 2017, BUILDING CAPABLE STA, V1
   Parnell S., 2014, Handbook on Cities in the Global South, P1
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Paton D, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142594
   Patterson J., 2015, Transformations towards sustainability Emerging approaches, critical reflections, and a research agenda
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Ramirez N., 2009, CONSTRUCCION SOCIAL, P177
   Robinson J, 2006, URBAN STUD, V43, P251, DOI 10.1080/00420980500495812
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Sabatier PaulA., 1993, POLICY CHANGE LEARNI
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Satterthwaite D, 2011, WIRES CLIM CHANGE, V2, P767, DOI 10.1002/wcc.136
   Saunders B, 2018, QUAL QUANT, V52, P1893, DOI 10.1007/s11135-017-0574-8
   Shaw P, 1997, J ORGAN CHANGE MANAG, V10, P235, DOI 10.1108/09534819710171095
   Tanner T., 2013, Proceedings of Transformation in a Changing Climate, 19-21 June, P33
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   TOLBERT PS, 1983, ADMIN SCI QUART, V28, P22, DOI 10.2307/2392383
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   UNDESA, 2019, WORLD URBANIZATION P, DOI 10.18356/b9-995fe-en
   Viand J., 2015, RIESGOS DIVERSIDAD R
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wamsler C., 2019, Sustainability and the Humanities
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Weible C, 2017, Theories of the Policy Process, V4th
   Wesely J, 2021, ROUT STUD URB CIT, P85
   Westley F, 2011, AMBIO, V40, P762, DOI 10.1007/s13280-011-0186-9
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Ziervogel G, 2016, ENVIRON URBAN, P1
NR 103
TC 6
Z9 6
U1 4
U2 20
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 100397
DI 10.1016/j.crm.2022.100397
EA JAN 2022
PG 17
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 0D6BN
UT WOS:000776078700003
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Metcalf, SJ
   van Putten, EI
   Frusher, S
   Marshall, NA
   Tull, M
   Caputi, N
   Haward, M
   Hobday, AJ
   Holbrook, NJ
   Jennings, SM
   Pecl, GT
   Shaw, J
AF Metcalf, Sarah J.
   van Putten, Elizabeth I.
   Frusher, Stewart
   Marshall, Nadine A.
   Tull, Malcolm
   Caputi, Nick
   Haward, Marcus
   Hobday, Alistair J.
   Holbrook, Neil J.
   Jennings, Sarah M.
   Pecl, Gretta T.
   Shaw, Jenny
TI Measuring the vulnerability of marine social-ecological systems: a
   prerequisite for the identification of climate change adaptations
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive capacity; coastal communities; fisheries; resource dependency;
   social-ecological
ID ADAPTIVE CAPACITY; CHANGE IMPACTS; RESILIENCE; MANAGEMENT; RISK;
   AUSTRALIA; FISHERIES; UNCERTAINTY; PERCEPTIONS; STRATEGIES
AB Reducing the vulnerability of coastal communities to marine climate change requires that communities have some intrinsic capacity to adapt. To assist adaptation planning and the implementation of adaptation strategies, identifying barriers and enablers to adaptation is important. Adaptive capacity, resource dependence, local climate change exposure and biological sensitivity were used to assess socioeconomic vulnerability to climate change in three Australian coastal communities: St Helens, Tasmania; Bowen, Queensland; and Geraldton, Western Australia. Higher adaptive capacity was associated with larger population size (i.e., Geraldton) whereas greater resource dependence, and lower human and natural capital were associated with smaller populations (St Helens and Bowen). Socioeconomic vulnerability was greatly influenced by climate exposure and sensitivity with the moderately sized Bowen having the highest socioeconomic vulnerability to climate change. Adaptation strategies that utilized available assets, improved adaptive capacity, or reduced socioeconomic vulnerability were identified in partnership with local communities, including increased and diversified employment opportunities, the re-establishment of local fish markets, and improved education and communication. The level of resources, or "capitals," available to communities can indicate where barriers and enablers to adaptation exist. Identified barriers to adaptation included a heavy reliance on one sector for employment and a lack of physical capital. We demonstrate that knowledge of intrinsic community characteristics can be beneficial for prioritizing adaptation actions to reduce socioeconomic vulnerability to marine climate change.
C1 [Metcalf, Sarah J.; Tull, Malcolm] Murdoch Univ, Sch Management & Governance, Murdoch, WA 6150, Australia.
   [van Putten, Elizabeth I.] CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
   [van Putten, Elizabeth I.; Frusher, Stewart; Haward, Marcus; Hobday, Alistair J.; Holbrook, Neil J.; Jennings, Sarah M.; Pecl, Gretta T.] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7001, Australia.
   [Frusher, Stewart; Haward, Marcus; Holbrook, Neil J.; Pecl, Gretta T.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia.
   [Marshall, Nadine A.] CSIRO Land & Water Flagship, Acton, ACT, Australia.
   [Caputi, Nick] Dept Fisheries, Perth, WA, Australia.
   [Hobday, Alistair J.] CSIRO Oceans & Atmosphere Flagship, Acton, ACT, Australia.
   [Jennings, Sarah M.] Univ Tasmania, Tasmanian Sch Business & Econ, Hobart, Tas 7001, Australia.
   [Shaw, Jenny] Curtin Univ, Sustainabil Policy Inst, Bentley, WA, Australia.
C3 Murdoch University; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); CSIRO Oceans & Atmosphere; University of Tasmania;
   University of Tasmania; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); University of Tasmania; Curtin University
RP Metcalf, SJ (corresponding author), Murdoch Univ, Sch Management & Governance, Murdoch, WA 6150, Australia.
RI Marshall, Nadine/D-9339-2011; Hobday, Alistair/A-1460-2012; Tull,
   Malcolm/IWV-4012-2023; Jennings, Sarah/J-7888-2014; Holbrook,
   Neil/M-7544-2013; Pecl, Gretta/D-7267-2011; Haward, Marcus/G-3369-2014
OI Holbrook, Neil/0000-0002-3523-6254; marshall,
   nadine/0000-0003-4463-3558; Pecl, Gretta/0000-0003-0192-4339; Haward,
   Marcus/0000-0003-4775-0864
FU Fisheries Research and Development Corporation [FRDC 2010/542]; ARC
   Future Fellowship
FX This study was funded by the Fisheries Research and Development
   Corporation (FRDC 2010/542). G. Pecl was funded by an ARC Future
   Fellowship. The role of OceanWatch and SeaNet officers was invaluable
   throughout the community visits. We would specifically like to thank
   Lowri Pryce, Anita Paulsen, Dave Schubert, Jay Shoesmith, and Cassie
   Price for all their help. We would like to thank all survey respondents
   and contacts in St Helens, Bowen, and Geraldton for their valuable
   insights and willingness to participate.
CR Abdo DA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043878
   ABS, 2003, CENS POP HOUS POP GR
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., 2001, 8 U E ANGL TYND CTR
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   AIMS, 2012, AIMS IND MAR IND
   Allison EH, 2006, MAR POLICY, V30, P757, DOI 10.1016/j.marpol.2006.02.001
   [Anonymous], GARNAUT CLIMATE CHAN
   [Anonymous], 2013, CLIM NAT 2013 AUSTR
   [Anonymous], 2007, NAT CLIM CHANG AD FR
   [Anonymous], 1998, 72 IDS U SUSS
   [Anonymous], IMPLICATIONS CLIMATE
   [Anonymous], CLIM CHANG AD ACT LO
   [Anonymous], 2007, The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1260/095830507781076194
   Armitage D, 2005, ENVIRON MANAGE, V35, P703, DOI 10.1007/s00267-004-0076-z
   Australian Bureau of Statistics (ABS), 2006, 2006 CENS DAT
   Australian Bureau of Statistics (ABS), 2011, DAT AN
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Brown PR, 2010, AGR SYST, V103, P562, DOI 10.1016/j.agsy.2010.06.004
   Burnley I., 2002, Journal of Population Research, V19, P137
   Caputi N., 2014, The marine heat wave off Western Australia during the summer of 2010/11-2 years on
   Caputi N., 2014, FRDC REPORT 2010 535
   Caputi N, 2010, CAN J FISH AQUAT SCI, V67, P85, DOI 10.1139/F09-167
   Caputi Nicolavito, 1993, Fisheries Oceanography, V2, P1, DOI 10.1111/j.1365-2419.1993.tb00007.x
   City of Greater Geraldton, 2013, GREAT GER EC DEV STR
   Clark G., 2021, AUSTR STATE ENV 2021, DOI [10.26194/AANZ-RF46, DOI 10.26194/AANZ-RF46]
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Daley J., 2011, Investing in regions: Making a difference
   Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053
   Davidson JL, 2013, ECOL SOC, V18, DOI 10.5751/ES-05607-180304
   De Haan LJ, 2012, ERDKUNDE, V66, P345, DOI 10.3112/erdkunde.2012.04.05
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Ekstrom JuliaA., 2013, SUCCESSFUL ADAPTATIO, P97, DOI 10.4324/9780203593882
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Elrick-Barr CE, 2014, ECOL SOC, V19, DOI 10.5751/ES-06745-190412
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   FAO, 2013, FAO PACFA EXP WORKSH
   Farrington J., 1999, NATURAL RESOURCE PER, V42
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Freudenburg WR, 1998, SOC NATUR RESOUR, V11, P569, DOI 10.1080/08941929809381103
   Frick J, 2004, PERS INDIV DIFFER, V37, P1597, DOI 10.1016/j.paid.2004.02.015
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Gurran N, 2007, AUST GEOGR, V38, P113, DOI 10.1080/00049180601175899
   Hodgkinson JH, 2014, REG ENVIRON CHANGE, V14, P1663, DOI 10.1007/s10113-014-0618-8
   Holbrook NJ, 2014, CLIMATIC CHANGE, V124, P703, DOI 10.1007/s10584-014-1110-7
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Kalaugher E, 2013, ENVIRON MODELL SOFTW, V39, P176, DOI 10.1016/j.envsoft.2012.03.018
   Kirby A., 2004, BBC News Online
   Lawes RA, 2012, AGR SYST, V106, P94, DOI 10.1016/j.agsy.2011.10.006
   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 N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   McAllister RRJ, 2014, REG ENVIRON CHANGE, V14, P429, DOI 10.1007/s10113-013-0505-8
   Mueller U, 2012, MAR FRESHWATER RES, V63, P1152, DOI 10.1071/MF12051
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nursey-Bray M, 2012, MAR POLICY, V36, P753, DOI 10.1016/j.marpol.2011.10.015
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   OECD, 2010, CIT CLIM CHANG, P1728, DOI [DOI 10.1787/9789264091375EN, 10.1787/9789264091375en]
   Pearce AF, 2013, J MARINE SYST, V111, P139, DOI 10.1016/j.jmarsys.2012.10.009
   Pecl GT, 2014, CLIMATIC CHANGE, V127, P505, DOI 10.1007/s10584-014-1284-z
   Pihkala T, 2007, INT J URBAN REGIONAL, V31, P836, DOI 10.1111/j.1468-2427.2007.00757.x
   Regional Australia Institute, 2013, INS AUSTR REG COMP I
   Renn O, 2011, AMBIO, V40, P231, DOI 10.1007/s13280-010-0134-0
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Ritchie JW, 2004, AUST J AGR RESOUR EC, V48, P65, DOI 10.1111/j.1467-8489.2004.t01-1-00230.x
   Roessig JM, 2004, REV FISH BIOL FISHER, V14, P251, DOI 10.1007/s11160-004-6749-0
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Spillman C. M., 2014, Clim. Risk Manage, V1, P25, DOI [10.1016/j.crm.2013.12.001, DOI 10.1016/J.CRM.2013.12.001]
   Stedman RC, 2004, RURAL SOCIOL, V69, P213, DOI 10.1526/003601104323087589
   Stenekes N., 2012, Revised Indicators of Community Vulnerability and Adaptive Capacity Across the Murray-Darling Basin: a Focus on Irrigation in Agriculture
   Taylor CR, 2003, AGR SYST, V75, P251, DOI 10.1016/S0308-521X(02)00068-9
   Tompkins EL, 2004, ECOL SOC, V9
   van Putten I, 2014, AUSTRALAS J REG STUD, V20, P286
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Wall G, 1998, CLIMATIC CHANGE, V40, P371, DOI 10.1023/A:1005493625658
   Welch D. J., 2014, 2010565 FRDC
   Wernberg T, 2013, NAT CLIM CHANGE, V3, P78, DOI [10.1038/nclimate1627, 10.1038/NCLIMATE1627]
   Wesche S, 2010, SPRINGER SER ENV MAN, P107, DOI 10.1007/978-3-642-12194-4_6
   Whitsunday Regional Council, 2013, BOW COLL ENT
   Wolf J, 2011, ADV GLOB CHANGE RES, V42, P21, DOI 10.1007/978-94-007-0567-8_2
NR 87
TC 65
Z9 72
U1 1
U2 69
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2015
VL 20
IS 2
AR 35
DI 10.5751/ES-07509-200235
PG 21
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CM3ZB
UT WOS:000357622800024
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Barrage, L
   Furst, J
AF Barrage, Lint
   Furst, Jacob
TI Housing investment, sea level rise, and climate change beliefs
SO ECONOMICS LETTERS
LA English
DT Article
DE Climate change; Housing; Sea level rise; Climate change adaptation;
   Climate change beliefs; Housing supply
ID PERCEPTIONS; MARKETS
AB We investigate the association of new housing construction with sea level rise exposure and climate change beliefs. We combine U.S. Census construction permits data, sea level rise projections, county-level climate change belief estimates (Howe et al., 2015), and standard housing controls. The results suggest that (i) sea level rise vulnerability is associated with significantly reduced construction in areas with high climate change beliefs, but that (ii) this relationship is significantly attenuated in more skeptical areas, suggesting that climate skepticism may be delaying adaptation. (C) 2019 Elsevier B.V. All rights reserved.
C1 [Barrage, Lint; Furst, Jacob] Brown, Providence, RI 02912 USA.
   [Barrage, Lint] NBER, Cambridge, MA 02138 USA.
C3 Brown University; National Bureau of Economic Research
RP Barrage, L (corresponding author), Brown, Providence, RI 02912 USA.
EM Lint_Barrage@Brown.edu; Jacob_Furst@Brown.edu
OI Barrage, Lint/0000-0002-2343-4827
FU Brown University's UTRA Award
FX Brown University's UTRA Award funded this research. We declare no
   conflicts of interest. We thank an anonymous referee, Laura Bakkensen,
   Lynn Carlson, Matthew Gibson, Matthew Kahn, Susan Wachter, and UChicago
   EPIC seminar participants for their insights.
CR Bakkensen Laura, 2018, 23854 NBER WP
   Bernstein A., 2018, J FINANC EC
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Bunten DM, 2017, J HOUS ECON, V36, P1, DOI 10.1016/j.jhe.2017.01.004
   Daniel VE, 2009, ECOL ECON, V69, P355, DOI 10.1016/j.ecolecon.2009.08.018
   Desmet Klaus, 2018, 24918 NBER WP
   Gallagher J, 2014, AM ECON J-APPL ECON, V6, P206, DOI 10.1257/app.6.3.206
   Gibson M, 2017, WORKING PAPER
   Glaeser EL, 2008, J URBAN ECON, V64, P198, DOI 10.1016/j.jue.2008.07.007
   Gundlach Justin, 2016, LOCAL LAW PROVISIONS
   Gyourko J, 2008, URBAN STUD, V45, P693, DOI 10.1177/0042098007087341
   Gyourko J, 2006, J REGIONAL SCI, V46, P661, DOI 10.1111/j.1467-9787.2006.00472.x
   Hallstrom DG, 2005, J ENVIRON ECON MANAG, V50, P541, DOI 10.1016/j.jeem.2005.05.002
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Kahn ME, 2018, RES ECON, V72, P251, DOI 10.1016/j.rie.2017.11.002
   Kahn ME, 2011, J URBAN ECON, V69, P223, DOI 10.1016/j.jue.2010.10.001
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   McCoy SJ, 2018, J ASSOC ENVIRON RESO, V5, P301, DOI 10.1086/695611
   Quigley JM, 2005, AM ECON REV, V95, P323, DOI 10.1257/000282805774670293
   Saiz A, 2010, Q J ECON, V125, P1253, DOI 10.1162/qjec.2010.125.3.1253
   Severen C, 2018, J ENVIRON ECON MANAG, V89, P235, DOI 10.1016/j.jeem.2018.03.009
   Taspinar Silleyman, 2018, J URBAN EC
NR 22
TC 13
Z9 16
U1 3
U2 43
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0165-1765
EI 1873-7374
J9 ECON LETT
JI Econ. Lett.
PD APR
PY 2019
VL 177
BP 105
EP 108
DI 10.1016/j.econlet.2019.01.023
PG 4
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA HS8AE
UT WOS:000464089600024
DA 2025-01-10
ER

PT J
AU Rahman, MS
   Toiba, H
   Huang, WC
AF Rahman, Moh Shadiqur
   Toiba, Hery
   Huang, Wen-Chi
TI The Impact of Climate Change Adaptation Strategies on Income and Food
   Security: Empirical Evidence from Small-Scale Fishers in Indonesia
SO SUSTAINABILITY
LA English
DT Article
DE capture fisheries; East Java; food consumption score; probit regression;
   propensity score matching
ID FARMERS ADAPTATION; SMALLHOLDER FARMERS; MARINE; DETERMINANTS;
   VARIABILITY; MITIGATION; DECISIONS; PROVINCE; SHIFTS
AB The impacts of climate change on marine capture fisheries have been observed in several studies. It is likely to have a substantial effect on fishers' income and food security. This study aims to estimate the impact of adaptation strategies on fishers' income and their household's food security. Data were collected from small-scale fishers' households, which own a fishing boat smaller or equal to five gross tonnages (GT). The study sites were the two coastal regions of Malang and Probolinggo in East Java, Indonesia, due to the meager socioeconomic resources caused by climate change. A probit regression model was used to determine the factors influencing the fishers' adaptation. Propensity score matching (PSM) was applied to evaluate the impact of the adaptation strategies on income and food security. Food security was measured by food consumption score (FCS). The findings indicated that participation in the fishers' group affected adaptation strategies significantly, and so did the access to credit and climate information. Also, PSM showed that the adaptation strategies had a positive and significant impact on fishers' income and food security. Those who applied the adaptation strategies had a higher income and FCS than those who did not. This finding implies that the fishery sector's adaptation strategies can have significant expansion outcome and reduce exposure to risks posed by climate change. Therefore, the arrangement of more climate change adaptation strategies should be promoted by the government for small-scale fishers in Indonesia.
C1 [Rahman, Moh Shadiqur] Natl Pingtung Univ Sci & Technol, Dept Trop Agr & Int Cooperat, Pingtung 912, Taiwan.
   [Toiba, Hery] Brawijaya Univ, Fac Agr, Agr Socioecon Dept, Malang 65145, Indonesia.
   [Huang, Wen-Chi] Natl Pingtung Univ Sci & Technol, Dept Agribusiness Management, Pingtung 912, Taiwan.
C3 National Pingtung University Science & Technology; Brawijaya University;
   National Pingtung University Science & Technology
RP Toiba, H (corresponding author), Brawijaya Univ, Fac Agr, Agr Socioecon Dept, Malang 65145, Indonesia.; Huang, WC (corresponding author), Natl Pingtung Univ Sci & Technol, Dept Agribusiness Management, Pingtung 912, Taiwan.
EM mohsodiqurrahman@gmail.com; htoiba@ub.ac.id; wenchi@mail.npust.edu.tw
RI Rahman, Moh Shadiqur/AAZ-1338-2021; Toiba, Hery/AFK-1090-2022; Huang,
   Wen-Chi/B-4136-2014
OI Huang, Wen-Chi/0000-0003-4427-9325; Toiba, Hery/0000-0003-3816-9066;
   Rahman, Moh Shadiqur/0000-0002-4275-3196
CR Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Abu Samah A, 2019, SAGE OPEN, V9, DOI 10.1177/2158244019864204
   Aldrian E, 2008, INT J CLIMATOL, V28, P435, DOI 10.1002/joc.1543
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amare A, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0124-x
   Andrade HA, 2003, FISH OCEANOGR, V12, P10, DOI 10.1046/j.1365-2419.2003.00220.x
   [Anonymous], 2016, Agriculture Food Security, DOI [10.1186/s40066-016-0075-3, DOI 10.1186/S40066-016-0075-3]
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Asante FA, 2015, CLIMATE, V3, P78, DOI 10.3390/cli3010078
   Asayehegn K., 2012, ERUD J MICROBIOL BIO, V1, P1
   Avia L.Q., 2019, P IOP C SERIES EARTH
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Bah OA., 2018, INT J AGR ENV RES, V4, P321
   Becerril J, 2010, WORLD DEV, V38, P1024, DOI 10.1016/j.worlddev.2009.11.017
   Belhabib D, 2016, MAR POLICY, V71, P15, DOI 10.1016/j.marpol.2016.05.009
   Bell JD, 2018, MAR POLICY, V88, P303, DOI 10.1016/j.marpol.2017.05.019
   Bertrand A, 2020, Food & Agriculture Org, DOI [10.4060/ca8348-n, DOI 10.4060/CA8348-N]
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Colgan C., 2008, ENERG ENVIRON-UK
   Colgan C.S., 2008, MAINE POLICY REV, V17, P66
   Comte L, 2013, FRESHWATER BIOL, V58, P625, DOI 10.1111/fwb.12081
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Daw T., 2009, Climate change and capture fisheries: potential impacts, adaptation and mitigation
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dey MM, 2016, MAR POLICY, V67, P171, DOI 10.1016/j.marpol.2016.01.004
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dulvy N, 2009, IOCCG REP, P11
   Edwards CB, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.1835
   FAO, 2016, CONTR FOOD SEC NUTR, P200
   Fiorella KJ, 2014, FOOD SECUR, V6, P851, DOI 10.1007/s12571-014-0393-x
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gc A., 2019, Scilit, V1, P1, DOI [10.3390/sci2040087, DOI 10.3390/SCI2040087]
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Gulaboski R., 2008, Handbook of Food Analysis Instruments
   Hasanah A, 2017, ECON REC, V93, P122, DOI 10.1111/1475-4932.12344
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
   Isaura ER, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081567
   Iwasaki S, 2009, MITIG ADAPT STRAT GL, V14, P339, DOI 10.1007/s11027-009-9167-8
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kleisner KM, 2017, PROG OCEANOGR, V153, P24, DOI 10.1016/j.pocean.2017.04.001
   Kusuma D., 2017, P IOP C SERIES EARTH
   Lam VWY, 2016, FISH FISH, V17, P335, DOI 10.1111/faf.12106
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
   Lowe BS, 2019, REG ENVIRON CHANGE, V19, P1765, DOI 10.1007/s10113-019-01516-5
   Mabe FN, 2020, FISH RES, V230, DOI 10.1016/j.fishres.2020.105675
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   MURAWSKI SA, 1993, T AM FISH SOC, V122, P647, DOI 10.1577/1548-8659(1993)122<0647:CCAMFD>2.3.CO;2
   Muringai RT, 2020, J ASIAN AFR STUD, V55, P298, DOI 10.1177/0021909619875769
   Muskananfola MR, 2020, REG STUD MAR SCI, V34, DOI 10.1016/j.rsma.2020.101060
   Oduniyi OS, 2019, INT J CLIM CHANG STR, V11, P716, DOI 10.1108/IJCCSM-02-2019-0009
   Ouedraogo I, 2018, CLIMATE, V6, DOI 10.3390/cli6010013
   Owusu V, 2021, CLIM DEV, V13, P616, DOI 10.1080/17565529.2020.1844612
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Poulain, 2018, IMPACTS CLIMATE CHAN
   Rizal A, 2019, WORLD NEWS NAT SCI I, V22
   Roessig JM, 2004, REV FISH BIOL FISHER, V14, P251, DOI 10.1007/s11160-004-6749-0
   Seo SN, 2011, ECOL ECON, V70, P825, DOI 10.1016/j.ecolecon.2010.12.004
   Sereenonchai S, 2019, CLIMATE, V7, DOI 10.3390/cli7020034
   Shaffril HAM, 2017, MAR POLICY, V81, P196, DOI 10.1016/j.marpol.2017.03.032
   Sriyanti M.G, 2010, INDONESIA CLIMATE CH
   Stenevik EK, 2007, MAR POLICY, V31, P19, DOI 10.1016/j.marpol.2006.05.001
   Taylor SFW, 2019, FOOD SECUR, V11, P1395, DOI 10.1007/s12571-019-00971-6
   Toiba H, 2020, COGENT ECON FINANC, V8, DOI 10.1080/23322039.2020.1854412
   Townhill BL, 2019, FISH FISH, V20, P977, DOI 10.1111/faf.12392
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Yamashita Y, 2012, FISH RES, V113, P182, DOI 10.1016/j.fishres.2011.10.011
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
NR 70
TC 22
Z9 22
U1 2
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2021
VL 13
IS 14
AR 7905
DI 10.3390/su13147905
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 TO4QY
UT WOS:000676899500001
OA gold
DA 2025-01-10
ER

PT C
AU Halil
   Budastra, K
   Sjah, T
   Tanaya, IGLP
   Fudjaja, L
AF Agribusiness
   Budastra, K.
   Sjah, T.
   Tanaya, I. G. L. Parta
   Fudjaja, L.
GP IOP
TI The impacts analysis of the technological shift in rice production to
   directly-seeded flooded rice on output supply and input demand in Lombok
   West Nusa Tenggara
SO INTERNATIONAL CONFERENCE ON ENVIRONMENTAL ECOLOGY OF FOOD SECURITY
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT 1st International Conference on Environmental Ecology of Food Security
   (ICEFS)
CY MAR 30, 2020
CL Fac Agr, Dept Agr Socio Econ, Agribusiness Study Program, Makassar,
   INDONESIA
SP Hasanuddin Univ, Publication Management Ctr
HO Fac Agr, Dept Agr Socio Econ, Agribusiness Study Program
AB The serious harvesting failure that occurred in the agricultural year 1979/1980 affected as many as 11.250 hectares. Since 1980/1981, this phenomenon inspired a technological shift in rice production to Directly-seeded flooded rice on rainfed land. Lombok, West Nusa Tenggara province achieved self-sufficiency of rice in 1984, a year before national self-sufficiency in 1985. This research aims to analyze the impact of directly-seeded flooded rice as a climate change adaptation strategy on output supply and input demand. Time series data from 2000 to 2015 was analyzed by employing Translog Profit Function and Seemingly Unrelated Regression. The results showed that Directly-seeded flooded rice as a climate change adaptation strategy has a positive impact on output supply and input demand. It indicated (1) elastic output supply subject to selfprice change of rice and labor, yet inelastic to the price of seed, Urea fertilizer, TSP, and NPK fertilizer. (2) All demand inputs were inelastic subject to self-price except casual labor and herbicide, and elastic subject to output price. Herbicide and fertilizers are complementary inputs to the directly -seeded flooded rice, while herbicide and casual labor are substitution inputs. The output and inputs price changes faced by farmers have both positive as well as negative impacts on output supply and input demand. It means that inputs such as seed, fertilizers, pesticides, and energy such as petrol for hand tractors are the main physical inputs to Directly-seeded flooded rice. Those inputs were very strategic economic goods, meanings that when the price changes occurred, it disturbed supply directly and performance of rice farming, either the production side, profits, or price risk. It also has food security impacts in Lombok.
C1 [Agribusiness; Budastra, K.; Sjah, T.; Tanaya, I. G. L. Parta] Univ Mataram, Fac Agr, Study Program Agribusiness, Jl Majapahit 62 Mataram Lombok Nusa Tenggara, Mataram, Indonesia.
   [Fudjaja, L.] Hasanuddin Univ, Fac Agr, Dept Social Econ Agr, Agribusiness Study Program, Makassar, Indonesia.
C3 Universitas Mataram; Universitas Hasanuddin
RP Halil (corresponding author), Univ Mataram, Fac Agr, Study Program Agribusiness, Jl Majapahit 62 Mataram Lombok Nusa Tenggara, Mataram, Indonesia.
EM khalilagribis@yahoo.com
RI Sjah, Taslim/AAI-7815-2021
CR Agustian A, 2012, THESIS I PERTAN BOGO THESIS I PERTAN BOGO
   Borrell A. K., 2001, Increased lowland rice production in the Mekong Region: Proceedings of an International Workshop held in Vientiane, Laos, 30 October-2 November 2000, P96
   CHRISTENSEN LR, 1973, REV ECON STAT, V55, P28, DOI 10.2307/1927992
   Galawat F., 2012, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V18, P100
   LOPEZ RE, 1984, AM J AGR ECON, V66, P358, DOI 10.2307/1240803
   Oldeman L R, 1980, CONTR RES I AGR
   PITT MM, 1983, AM J AGR ECON, V65, P502, DOI 10.2307/1240498
   Rahmah Mas, 2017, Journal of Intellectual Property Rights, V22, P90
   Rahman S, 2003, FOOD POLICY, V28, P487, DOI 10.1016/j.foodpol.2003.10.001
   WEAVER RD, 1983, AM J AGR ECON, V65, P45, DOI 10.2307/1240336
NR 10
TC 0
Z9 0
U1 0
U2 3
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PY 2021
VL 681
AR 012016
DI 10.1088/1755-1315/681/1/012016
PG 7
WC Agricultural Economics & Policy; Agronomy; Economics; Environmental
   Sciences; Regional & Urban Planning
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Agriculture; Business & Economics; Environmental Sciences & Ecology;
   Public Administration
GA BR9PU
UT WOS:000679400700016
OA gold
DA 2025-01-10
ER

PT J
AU Issoufou, AA
   Soumana, I
   Maman, G
   Konate, S
   Mahamane, A
AF Issoufou, Abdourhimou Amadou
   Soumana, Idrissa
   Maman, Garba
   Konate, Souleymane
   Mahamane, Ali
TI Dynamic relationship of traditional soil restoration practices and
   climate change adaptation in semi-arid Niger
SO HELIYON
LA English
DT Article
DE Agricultural science; Environmental science; Scholars and local
   knowledge; Southwest Niger; Climate change adaptation; Soil restoration
   strategies; AquaCrop model
ID CONSERVATION AGRICULTURE; CROP-ROTATION; CARBON SEQUESTRATION;
   MANAGEMENT-PRACTICES; YIELD STABILITY; IMPACT; TILLAGE; MITIGATION;
   SAHEL; CHALLENGES
AB Climate change increases the vulnerability of agrosystems to soil degradation and reduces the effectiveness of traditional soil restoration options. The implementation of some practices need to be readjusted due to steadily increasing temperature and lowering precipitation. For farmers, the best practice found, should have the potential to achieve maximum sustainable levels of soil productivity in the context of climate change. A study was conducted in South-West Niger to investigate the use of the suitable practice, through (i) a meta-analysis of case studies, (ii) using field survey and (iii) by using AquaCrop model. Results showed that the effects of the association zai + mulch on crop yield was up to 2 times higher than control plots depending on climate projections scenario RCP 8.5 under which carbon dioxide (CO2) concentrations are projected to reach 936 ppm by 2100. The practice appeared to be an interesting option for enhancing crop productivity in a context of climate change. Concerning its ability, it offers the best prospects to reverse soil degradation in the study area. In addition, the simulation showed that this strategy was suitable for timely sowing and therefore confirmed scholars and farmers views. Furthermore, this practice is relatively more effective compared to the others practices. These results show that association zai + mulch could be considered as the best practice that can participate to a successful adaptation to reduce risk from climate change at the same time by reducing the vulnerability of farmers in Southwest of Niger for now and even for the future.
C1 [Issoufou, Abdourhimou Amadou; Konate, Souleymane] Univ Felix Houphouet Boigny, WASCAL Grad Res Program Climate Change & Biodiver, Abidjan, Cote Ivoire.
   [Soumana, Idrissa; Maman, Garba] Inst Natl Rech Agronom Niger, Niamey, Niger.
   [Konate, Souleymane] Univ Nangui Abrogoua, Abidjan, Cote Ivoire.
   [Mahamane, Ali] Univ Diffa, BP78, Diffa, Niger.
C3 Universite Felix Houphouet-Boigny; Universite Nangui Abrogoua
RP Issoufou, AA (corresponding author), Univ Felix Houphouet Boigny, WASCAL Grad Res Program Climate Change & Biodiver, Abidjan, Cote Ivoire.
EM amadou_issoufou@ymail.com
RI Garba, Maman/I-6291-2019
OI Abdourhimou, AMADOU/0000-0002-8444-3962; Garba,
   Maman/0000-0002-3377-3064
FU WASCAL-West African Science Service Center on Climate change and Adapted
   Land use [02CCBI16]
FX This work was supported by WASCAL-West African Science Service Center on
   Climate change and Adapted Land use-02CCBI16.
CR Akpo M.A., 2016, Europ.Sci. J., ESJ, V12, P370, DOI [10.19044/esj.2016.v12n33p370, DOI 10.19044/ESJ.2016.V12N33P370]
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], J ENV PLAN MANAG
   [Anonymous], EGU
   [Anonymous], AGR DEV
   [Anonymous], WATER RESOURCES RES
   [Anonymous], IMPACT PRATIQUES GES
   [Anonymous], FIELD CROP RES
   [Anonymous], REG ENV CHANG
   [Anonymous], INT J BIOL CHEM
   [Anonymous], ENV MANAG
   [Anonymous], RES J AGR ENV MAN
   [Anonymous], EGU
   [Anonymous], EUR J AGRON
   [Anonymous], B RECHERCHE AGRONOMI
   [Anonymous], 2017, FLORESTA AMBIENTE, DOI DOI 10.1590/2179-8087.017516
   [Anonymous], CONTRIBUTION ASS ZA
   [Anonymous], SECHERESSE
   [Anonymous], 2018, SUSTAINABILITY-BASEL
   [Anonymous], CLIM CHANGE
   [Anonymous], YIELD SOIL WATER EC
   [Anonymous], CATENA
   [Anonymous], INT FOR REV
   [Anonymous], UNDERSTANDING FACTOR
   [Anonymous], RESUME NJAS
   Babbar-Sebens M, 2015, ENVIRON MODELL SOFTW, V69, P111, DOI 10.1016/j.envsoft.2015.03.011
   Bayala J, 2015, AGR ECOSYST ENVIRON, V205, P25, DOI 10.1016/j.agee.2015.02.018
   Bayen P, 2016, J FORESTRY RES, V27, P313, DOI 10.1007/s11676-015-0159-0
   Bello ZA, 2016, CROP PASTURE SCI, V67, P948, DOI 10.1071/CP15226
   Bendito A, 2015, INT J AGR SUSTAIN, V13, P222, DOI 10.1080/14735903.2014.959329
   Beshir H., 2014, The Experiment, V23, P1611
   Brankatschk G, 2015, AGR SYST, V138, P66, DOI 10.1016/j.agsy.2015.05.008
   Bright MBH, 2017, AGR ECOSYST ENVIRON, V242, P9, DOI 10.1016/j.agee.2017.03.007
   Busari MA, 2015, INT SOIL WATER CONSE, V3, P119, DOI 10.1016/j.iswcr.2015.05.002
   Canali S, 2015, ACTA HORTIC, V1103, P91, DOI 10.17660/ActaHortic.2015.1103.14
   Corbeels M, 2014, AGR ECOSYST ENVIRON, V187, P155, DOI 10.1016/j.agee.2013.10.011
   de Moura EG, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090841
   Fuhrer J, 2015, PROCEDIA ENVIRON SCI, V29, P194, DOI 10.1016/j.proenv.2015.07.257
   Garbrecht JD, 2014, J SOIL WATER CONSERV, V69, P374, DOI 10.2489/jswc.69.5.374
   Garbrecht JD, 2015, WEATHER CLIM EXTREME, V10, P32, DOI 10.1016/j.wace.2015.06.002
   Gibbs HK, 2015, APPL GEOGR, V57, P12, DOI 10.1016/j.apgeog.2014.11.024
   Jayne TS, 2014, FOOD POLICY, V48, P1, DOI 10.1016/j.foodpol.2014.05.014
   Kaiser D, 2017, AGR ECOSYST ENVIRON, V236, P198, DOI 10.1016/j.agee.2016.11.023
   Kate S., 2014, Journal of Applied Biosciences, V82, P7418, DOI 10.4314/jab.v82i1.11
   Kiboi MN, 2017, SOIL TILL RES, V170, P157, DOI 10.1016/j.still.2017.04.001
   Kpadonou RAB, 2017, LAND USE POLICY, V61, P196, DOI 10.1016/j.landusepol.2016.10.050
   Lal R, 2015, SUSTAINABILITY-BASEL, V7, P5875, DOI 10.3390/su7055875
   Lal Rattan, 2013, Ecohydrology & Hydrobiology, V13, P8, DOI 10.1016/j.ecohyd.2013.03.006
   Lalljee B, 2013, INT SOIL WATER CONSE, V1, P68, DOI 10.1016/S2095-6339(15)30032-0
   Lugato E, 2014, GLOBAL CHANGE BIOL, V20, P313, DOI 10.1111/gcb.12292
   Mahamane L., 2005, Secheresse, V16, P107
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Moussa B. M., 2016, Journal of Agricultural Science (Toronto), V8, P126, DOI 10.5539/jas.v8n4p126
   Mutsamba EF, 2016, CROP PROT, V82, P60, DOI 10.1016/j.cropro.2016.01.004
   Mwase W., 2015, Environment and Natural Resources Research, V5, P148
   Nicholson Sharon E., 2013, ISRN Meteorology, DOI 10.1155/2013/453521
   Ouattara K., 2017, African Journal of Agricultural Research, V12, P1014, DOI 10.5897/ajar2016.11976
   Pittelkow CM, 2015, FIELD CROP RES, V183, P156, DOI 10.1016/j.fcr.2015.07.020
   Powlson DS, 2016, AGR ECOSYST ENVIRON, V220, P164, DOI 10.1016/j.agee.2016.01.005
   Prusty S. R., 2016, Current World Environment, V11, P150, DOI 10.12944/CWE.11.1.19
   Rasmussen LV, 2018, WORLD DEV, V108, P274, DOI 10.1016/j.worlddev.2017.03.034
   Rogelj J, 2012, NAT CLIM CHANGE, V2, P248, DOI [10.1038/NCLIMATE1385, 10.1038/nclimate1385]
   Sale A., 2014, International Journal of Biological and Chemical Sciences, V8, P680
   Salem HM, 2015, GEODERMA, V237, P60, DOI 10.1016/j.geoderma.2014.08.014
   Sartori L, 2005, BIOSYST ENG, V91, P245, DOI 10.1016/j.biosystemseng.2005.03.010
   Shrestha BM, 2015, SOIL USE MANAGE, V31, P358, DOI 10.1111/sum.12198
   Sithole NJ, 2018, ACTA AGR SCAND B-S P, V68, P220, DOI 10.1080/09064710.2017.1381276
   Sundström J, 2014, FOOD SECUR, V6, P201, DOI 10.1007/s12571-014-0331-y
   Tao HH, 2016, AGR ECOSYST ENVIRON, V218, P133, DOI 10.1016/j.agee.2015.11.012
   Trail P, 2016, AGRON J, V108, P1742, DOI 10.2134/agronj2015.0422
   Tsozue D., 2014, Open Journal of Soil Science, V04, P6, DOI [DOI 10.4236/OJSS.2014.41002, 10.4236/ojss.2014]
   Venter ZS, 2016, PEDOBIOLOGIA, V59, P215, DOI 10.1016/j.pedobi.2016.04.001
   Waldron A, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720667
   Wang ZZ, 2016, ENVIRON MODELL SOFTW, V84, P99, DOI 10.1016/j.envsoft.2016.06.016
   Wildemeersch JCJ, 2015, LAND DEGRAD DEV, V26, P491, DOI 10.1002/ldr.2252
   Zhang HL, 2017, CLIMATE, V5, DOI 10.3390/cli5030064
   Zikeli S, 2013, SUSTAINABILITY-BASEL, V5, P3876, DOI 10.3390/su5093876
   Zongo K. F., 2016, International Journal of Biological and Chemical Sciences, V10, P290
   Zougmore R., 2014, Agriculture Food Security, V3, P16, DOI [10.1186/2048-7010-3-16, DOI 10.1186/2048-7010-3-16]
NR 79
TC 7
Z9 8
U1 3
U2 12
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
EI 2405-8440
J9 HELIYON
JI Heliyon
PD JAN
PY 2020
VL 6
IS 1
AR e03265
DI 10.1016/j.heliyon.2020.e03265
PG 7
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA KH1BC
UT WOS:000510380200216
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Sen, SM
   Kansal, A
AF Sen, Sudeshna Maya
   Kansal, Arun
TI Achieving water security in rural Indian Himalayas: A participatory
   account of challenges and potential solutions
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Problem and solution trees; Stakeholder perceptions; Climate change
   adaptation; Sikkim agriculture; Springshed management; Cultural identity
ID CLIMATE-CHANGE ADAPTATION; MANAGEMENT; SIKKIM; PERCEPTIONS; GOVERNANCE;
   HYDROPOWER; THREATS
AB The complex and diverse factors that influence water security in the Indian Himalayan Region were examined using problem and solution tree (PAST) mapping together with a field study. Five PASTs, each constructed by a different group of stakeholders, namely the state government, the local government, researchers, development agencies, and the local community, were analysed to obtain a holistic and multi-sectoral understanding of water security in the region, and the analysis was supplemented with field data. The systematic study helped in (1) identifying many factors - climatic, geographical, cultural, and socio-economic - that influence water security, (2) assessing their impacts on mountain livelihoods, and (3) documenting thirty-two potential interventions in the form of adaptations (e.g. springshed management programme) and coping strategies (e.g. buying water from informal water markets) to strengthen water security. These strategies followed three main themes namely conserving water resources, improving rural livelihood and sustainable infrastructure development and risk management. The study also helped in building a shared sense of understanding, purpose, and action between the diverse groups of stakeholders. The study suggests that ensuring water security in rural mountain areas requires holistic and multi-sectoral policies, which should be developed by including all actors in the network of stakeholders; that local conditions be given utmost importance in the policy planning cycle (e.g. focus on springs in mountains); and that cultural landscape and local identities be closely examined to reduce the inequalities in access to resources.
C1 [Sen, Sudeshna Maya; Kansal, Arun] TERI Sch Adv Studies, Coca Cola Dept Reg Water Studies, 10 Inst Area, New Delhi 110070, India.
C3 TERI University
RP Kansal, A (corresponding author), TERI Sch Adv Studies, Coca Cola Dept Reg Water Studies, 10 Inst Area, New Delhi 110070, India.
EM akansal37@gmail.com
RI Kansal, Arun/AAS-8269-2020
OI Kansal, Arun/0000-0002-2985-2480; Pandey, Alok
   Kumar/0000-0001-5604-3243; Sen, Sudeshna Maya/0000-0002-2292-033X
FU Himalayan Adaptation, Water and Resilience (HI-AWARE) Research
   Consortium
FX We thank all the respondents who participated in the workshop and field
   discussions. The study was conducted with funding support from the
   Himalayan Adaptation, Water and Resilience (HI-AWARE) Research
   Consortium. This research forms part of a doctoral thesis. The authors
   have no conflict of interest.
CR Ahlers R, 2015, EARTH SYST DYNAM, V6, P195, DOI 10.5194/esd-6-195-2015
   Al-Qubatee W, 2017, WATER INT, V42, P810, DOI 10.1080/02508060.2017.1356997
   [Anonymous], 2016, THESIS
   [Anonymous], 2009, STAT FOR REP
   [Anonymous], SIKK DISTR CENS HDB
   [Anonymous], 2012, Progress on drinking water and sanitation: 2012 update
   [Anonymous], 2015, SIKK HUM DEV REP 201
   Arora V., 2007, Indian Sociological Society, V56, P195, DOI [10.1177/0038022920070202, DOI 10.1177/0038022920070202]
   Azhoni A, 2018, SCI TOTAL ENVIRON, V626, P468, DOI 10.1016/j.scitotenv.2018.01.112
   Bakker K, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2013.0116
   Bakker K, 2012, SCIENCE, V337, P914, DOI 10.1126/science.1226337
   Basu M., 2015, Water Resources and Rural Development, V5, P47, DOI DOI 10.1016/J.WRR.2015.07.001
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Beyerl K, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00238
   Bina Srinivasan Bina Srinivasan, 2001, Economic and Political Weekly, V36, P4108
   Cassell C, 2012, PRACTICE QUALITATIVE
   Cavestro L., 2003, PRA-participatory Rural Appraisal Concepts Methodologies and Techniques
   Chakraborty S, 2016, SPACE CULT INDIA, V4, P61, DOI [10.20896/saci.v4i2.198, DOI 10.20896/SACI.V4I2.198]
   Chettri M., 2013, THESIS
   Christoplos I, 2016, FORUM DEV STUD, V43, P437, DOI 10.1080/08039410.2016.1199443
   Clement F., 2013, Water Security: Principles, Perspectives, and Practices, P148
   Drew G, 2016, ASIAN STUD REV, V40, P321, DOI 10.1080/10357823.2016.1192580
   El Ayni F, 2013, WATER ENVIRON J, V27, P348, DOI 10.1111/j.1747-6593.2012.00354.x
   Estrella M., 2000, 70 IDS, P71
   Gioli G, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P421, DOI 10.1007/978-3-319-92288-1_12
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Grumbine RE, 2013, SCIENCE, V339, P36, DOI 10.1126/science.1227211
   Gurung S. K, 2007, THESIS
   Huber A, 2015, WORLD DEV, V76, P13, DOI 10.1016/j.worlddev.2015.06.006
   ICIMOD, 2016, WORKSH P WAT AV ACC
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   IPT, 2014, IND PEOPL TRIB DAMS
   Jepson Wendy, 2017, Water Security, V1, P46, DOI 10.1016/j.wasec.2017.07.001
   Kernecker M, 2017, ECOL SOC, V22, DOI [10.5751/ES-09787-220437, 10.5751/es-09787-220437]
   Kerry L, 2008, TRANSFORMING CULTURE, V3
   Kohli K., 2011, Economic and Political Weekly, V46, P19
   Lama M. P, 2016, J ASS NEPAL HIMALAYA, V36
   Lama Mahendra P., 2001, Sikkim Human Development Report 2001
   Lankford B., 2009, Water Alternatives, V2, P476
   Mazzocchi C, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040343
   MoEF, 2010, CLIM CHANG IND 4 X 4
   Nandargi S, 2011, HYDROLOG SCI J, V56, P930, DOI 10.1080/02626667.2011.595373
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   NITI Aayog, 2017, INV REV SPRINGS HIM
   Noga J, 2013, WATER-SUI, V5, P1865, DOI 10.3390/w5041865
   Pandit A, 2016, CLIMATE CHANGE ADAPT
   PHFI, 2018, SIKK DIS BURD PROF 1
   Pomeranz Kenneth, 2013, ASIA POLICY, V16, P1
   Rahman H., 2012, Climate Change in Sikkim: Pattern, Impact and Initiatives, P19, DOI DOI 10.1007/s10584-015-1456-5
   Rangecroft S, 2018, PROG PHYS GEOG, V42, P237, DOI 10.1177/0309133318766802
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   SAPCC, 2014, SIKK ACT PLAN CLIM C
   Seetharam K, 2008, MAUSAM, V59, P361
   Sen SM, 2019, ENVIRON MANAGE, V63, P233, DOI 10.1007/s00267-018-1128-0
   Simpungwe E., 2006, Water, stakeholders and common ground: Challenges for multi-stakeholder platforms in water resource management in South Africa
   Singh VP, 2017, WATER INT, V42, P349, DOI 10.1080/02508060.2017.1327234
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Snowdon W, 2008, HEALTH PROMOT INT, V23, P345, DOI 10.1093/heapro/dan027
   Tambe S, 2013, C PAPER INDIA MOUNTA
   Tambe S, 2012, MT RES DEV, V32, P62, DOI 10.1659/MRD-JOURNAL-D-11-00079.1
   Tengö M, 2014, AMBIO, V43, P579, DOI 10.1007/s13280-014-0501-3
   Vaidya RA, 2015, INT J WATER RESOUR D, V31, P253, DOI 10.1080/07900627.2015.1020998
   Vani M.S, 2009, WATER LAWS INDIA, V435, P444
   Varma N, 2017, ENVIRON POLICY GOV, V27, P207, DOI 10.1002/eet.1745
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
   yWorks, 2017, YED GRAPH ED YED 3 1
NR 68
TC 23
Z9 23
U1 1
U2 41
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 SEP 1
PY 2019
VL 245
BP 398
EP 408
DI 10.1016/j.jenvman.2019.05.132
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IF8YX
UT WOS:000473380300044
PM 31163377
DA 2025-01-10
ER

PT J
AU Hunt, JD
   Leal, W
AF Hunt, Julian D.
   Leal Filho, Walter
TI Land, Water, and Wind Watershed Cycle: a strategic use of water, land
   and wind for climate change adaptation
SO CLIMATIC CHANGE
LA English
DT Article
ID DEFORESTATION
AB The increase in population and the improvement of life standards are stretching the boundaries between water-energy-land management, and demanding innovative and holistic solutions. This article proposes an approach for increasing the water availability of two or more water basins taking into consideration land use and wind patterns, and was named Land, Water, and Wind Watershed Cycle (L3WC). This approach can be applied to one watershed or a combination of watersheds. In the first case, if wind patterns blow mainly in the opposite direction of the main river flow, plantations with high water demand should be focused on the lowest part of the basin. The transpired moisture would then return to the basin with the wind and possibly increase the water availability of the basin. Applying this method to a series of basins, water is transposed from one basin to another, used for irrigated agriculture, returned to the atmosphere with evapotranspiration and pushed back to the basin where the water was extracted by the wind. Case studies of this methodology are presented in the So Francisco basin and between the Tocantins, Amazonas, and Parana basins and the So Francisco basin in Brazil. The So Francisco basin was selected because it is located in a dry region, its flow has considerably reduced in the past decade and because the trade winds blow constantly from the ocean into the continent all year around. L3WC is a strategy to plan the allocation of water consumption in a watershed, taking into account wind patterns to support the sustainable development of a region. It has the potential of increasing water availability and creating a climate change adaptation mechanism to control the climate and reduce vulnerability to climatic variations.
C1 [Hunt, Julian D.] IIASA, Schlosspl 1, A-2361 Laxenburg, Austria.
   [Leal Filho, Walter] Manchester Metropolitan Univ, Manchester, Lancs, England.
   [Leal Filho, Walter] Hamburg Univ Appl Sci, Res & Transfer Centres Sustainable Dev & Climate, Hamburg, Germany.
C3 International Institute for Applied Systems Analysis (IIASA); Manchester
   Metropolitan University; Hochschule Angewandte Wissenschaft Hamburg
RP Leal, W (corresponding author), Manchester Metropolitan Univ, Manchester, Lancs, England.; Leal, W (corresponding author), Hamburg Univ Appl Sci, Res & Transfer Centres Sustainable Dev & Climate, Hamburg, Germany.
EM hunt@iiasa.ac.at; w.leal@mmu.ac.uk
RI Leal, Walter/ACX-9082-2022
OI Leal Filho, Walter/0000-0002-1241-5225
CR Amarante O.A., 2001, Atlas do Potencial Eolico Brasileiro
   Barifouse R, 2014, SUDESTE PODE APRENDE
   Brazilian Confederation of Agriculture and Livestock, 2011, PLANT EUC BRAS MIT V
   Brazilian Electricity Grid Operator, 2015, OP DIAR OP SIST NAC
   Brazilian Electricity Grid Operator, 2004, EV LIQ NAS US HIDR
   Brazilian Energy Research Office, 2015, PLAN DEC EXP EN 2024
   Brazilian Ministry of the Environment, 2016, NAT AD PLAN CLIM CHA, VII
   Brazilian National Water Agency, DISP DEM REC HIDR BR
   Brazilian National Water Agency, HIDR SIST NAC INF RE
   Brazilian National Water Agency, BAL HIDR QUANT ANA
   Brazilian Reference Center for Solar and Wind Energy, 2013, ATL POT EOL EST BAH
   Chen WH, 2014, ENERGY, V71, P40, DOI 10.1016/j.energy.2014.03.117
   Costa JA, 2012, DESENVOLVIMENTO SIST
   Couto L, 2011, IEA BIOENERGY
   Couto L, 2008, BIOMASSA ENERGIA, P93
   Davidson EA, 2012, NATURE, V481, P321, DOI 10.1038/nature10717
   Dias P, 2014, ANALISE ESPACIAL APL
   HENDERSON-SELLERS A, 1984, CLIMATIC CHANGE, V6, P231, DOI 10.1007/BF00142475
   Hunt J, 2014, 9 C BRAS PLAN EN 25
   Hunt JD, 2016, ENERGY, V101, P91, DOI 10.1016/j.energy.2016.02.011
   Institute of Hydraulic Research, HIDR GRAND ESC
   Leal Filho W, 2015, HANDBOOK OF CLIMATE
   LEAN J, 1989, NATURE, V342, P411, DOI 10.1038/342411a0
   MAMEDE F., 2002, ANALISE VIABILIDADE
   Santos ME, 2006, ESTUDO EC RIO ARAGUA
   Sao Francisco River Transposition Commission, 2015, APR PLAN INT BAC EST
   Sartorio IP, 2014, AVALIACAO MODELAGEM
   Siqueira JL, 2015, CLIMATIC CHANGE, V129, P117, DOI 10.1007/s10584-015-1338-x
   Spracklen DV, 2012, NATURE, V489, P282, DOI 10.1038/nature11390
   Vasco A, 2015, INDICADORES ALTERACA
NR 30
TC 8
Z9 9
U1 0
U2 16
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 APR
PY 2018
VL 147
IS 3-4
BP 427
EP 439
DI 10.1007/s10584-018-2164-8
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GA6FA
UT WOS:000428427200005
DA 2025-01-10
ER

PT J
AU Rojas-Downing, MM
   Nejadhashemi, AP
   Harrigan, T
   Woznicki, SA
AF Rojas-Downing, M. Melissa
   Nejadhashemi, A. Pouyan
   Harrigan, Timothy
   Woznicki, Sean A.
TI Climate change and livestock: Impacts, adaptation, and mitigation
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Livestock; Climate change; Heat stress; Greenhouse gas; Adaptation;
   Mitigation
ID GREENHOUSE-GAS EMISSIONS; HEAT-STRESS; METHANE EMISSIONS; NITROUS-OXIDE;
   DAIRY-COWS; PLASMA PROGESTERONE; ENERGY-METABOLISM; DECISION-SUPPORT;
   FOOD SECURITY; MANAGEMENT
AB Global demand for livestock products is expected to double by 2050, mainly due to improvement in the worldwide standard of living. Meanwhile, climate change is a threat to livestock production because of the impact on quality of feed crop and forage, water availability, animal and milk production, livestock diseases, animal reproduction, and bio-diversity. This study reviews the global impacts of climate change on livestock production, the contribution of livestock production to climate change, and specific climate change adaptation and mitigation strategies in the livestock sector. Livestock production will be limited by climate variability as animal water consumption is expected to increase by a factor of three, demand for agricultural lands increase due to need for 70% growth in production, and food security concern since about one-third of the global cereal harvest is used for livestock feed. Meanwhile, the livestock sector contributes 14.5% of global greenhouse gas (GHG) emissions, driving further climate change. Consequently, the livestock sector will be a key player in the mitigation of GHG emissions and improving global food security. Therefore, in the transition to sustainable livestock production, there is a need for: a) assessments related to the use of adaptation and mitigation measures tailored to the location and livestock production system in use, and b) policies that support and facilitate the implementation of climate change adaptation and mitigation measures. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
C1 [Rojas-Downing, M. Melissa; Nejadhashemi, A. Pouyan; Harrigan, Timothy; Woznicki, Sean A.] Michigan State Univ, Dept Biosyst & Agr Engn, 524 S Shaw Lane,Room 225, E Lansing, MI 48824 USA.
C3 Michigan State University
RP Nejadhashemi, AP (corresponding author), Michigan State Univ, Dept Biosyst & Agr Engn, 524 S Shaw Lane,Room 225, E Lansing, MI 48824 USA.
EM pouyan@msu.edu
RI Nejadhashemi, A./AAJ-1832-2020; Woznicki, Sean/ABD-9956-2020
OI Nejadhashemi, A. Pouyan/0000-0002-2502-0193; Woznicki,
   Sean/0000-0002-0369-2298
FU US Department of Agriculture, National Institute of Food and Agriculture
   [MICL02359]
FX This work is supported by the US Department of Agriculture, National
   Institute of Food and Agriculture, Hatch project MICL02359. Authors
   would like to thank Dr. Emilio F. Moran for his inputs.
CR Alexandratos N., 2012, World Agriculture Towards 2030 / 2050 The 2012 Revision PROOF COPY, V12, P146
   [Anonymous], 2013, Climate Smart Agriculture Sourcebook
   [Anonymous], 2010, World Bank Policy Research Working Paper 5178
   [Anonymous], 2013, STATE FOOD INSECURIT
   [Anonymous], 2016, REP C PART ITS 21 SE, DOI DOI 10.1017/9781316577226.067
   [Anonymous], 2009, GLOB AGR 2050 HIGH L
   [Anonymous], 2009, INT ASSESSMENT AGR K
   [Anonymous], 35 S INT ZOOT PROD A
   [Anonymous], RAINFED AGRICULTURE
   [Anonymous], 2009, THE STATE OF FOOD AND AGRICULTURE Livestock in the Balance
   [Anonymous], 2013, Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States
   [Anonymous], [No title captured]
   [Anonymous], 2008, 8 UNFCCC
   [Anonymous], 2013, WORLD POPULATION PRO
   [Anonymous], 2007, Intergovernmental Panel on Climate Change [Core Writing Team IPCC
   Asner GP, 2004, ANNU REV ENV RESOUR, V29, P261, DOI 10.1146/annurev.energy.29.062403.102142
   Aydinalp C., 2008, AGR ENV SCI, V5, P672
   Bajzelj B, 2014, LAND-BASEL, V3, P898, DOI 10.3390/land3030898
   Barati F, 2008, THERIOGENOLOGY, V69, P767, DOI 10.1016/j.theriogenology.2007.08.038
   Barnes A., 2008, MARKET SEGMENTATION
   Barnes AP, 2013, APPL GEOGR, V41, P105, DOI 10.1016/j.apgeog.2013.03.011
   BARUCH Z, 1995, INT J PLANT SCI, V156, P514, DOI 10.1086/297274
   Batima P., 2005, ADAPTATION CLIMATE C, V90
   Beauchemin KA, 2008, AUST J EXP AGR, V48, P21, DOI 10.1071/EA07199
   Beauchemin K. A., 2009, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V4, P1, DOI 10.1079/PAVSNNR20094035
   Bellarby J, 2013, GLOBAL CHANGE BIOL, V19, P3, DOI 10.1111/j.1365-2486.2012.02786.x
   Benchaar C, 2001, CAN J ANIM SCI, V81, P563, DOI 10.4141/A00-119
   Berman A, 2005, J ANIM SCI, V83, P1377
   Bernabucci U, 2002, J DAIRY SCI, V85, P2173, DOI 10.3168/jds.S0022-0302(02)74296-3
   Bernabucci U., 2006, J. Dairy Sci, V89, P348, DOI DOI 10.3168/JDS.S0022-0302(06)72518-8
   Boadi D, 2004, CAN J ANIM SCI, V84, P319, DOI 10.4141/A03-109
   Bolin B., 1982, SCOPE 21 MAJOR BIOGE
   Bouwman AF, 1996, NUTR CYCL AGROECOSYS, V46, P53, DOI 10.1007/BF00210224
   Bruinsma J., 2017, World agriculture: towards 2015/2030: an FAO study
   Burke D.A., 2001, DAIRY WASTE ANAEROBI
   Campbell I., 2004, CANADA CHANGING CLIM, P99
   Carvalho Georgia, 2004, Environment Development and Sustainability, V6, P163, DOI 10.1023/B:ENVI.0000003635.86980.c0
   Casey K. D., 2006, Animal Agriculture and the Environment: National Center for Manure and Animal Waste Management White Papers, P1, DOI [10.13031/2013.20246, DOI 10.13031/2013.20246]
   Chapman SC, 2012, CROP PASTURE SCI, V63, P251, DOI 10.1071/CP11303
   Chase L.E., 2012, CLIMATE CHANGE IMPAC
   Chhabra A, 2013, CLIMATIC CHANGE, V117, P329, DOI 10.1007/s10584-012-0556-8
   Conant RT, 2001, ECOL APPL, V11, P343, DOI 10.1890/1051-0761(2001)011[0343:GMACIG]2.0.CO;2
   Davis MS, 2003, J ANIM SCI, V81, P649
   De Rensis F, 2003, THERIOGENOLOGY, V60, P1139, DOI 10.1016/S0093-691X(03)00126-2
   Denef K., 2011, GREENHOUSE GAS EMISS
   Dickie Amy., 2014, Strategies for Mitigating Climate Change in Agriculture: Abridged Report
   Dourmad J.Y., 2008, Proc. Livest. Glob. Clim. Change, P36
   [Eggleston H.S. IPCC. IPCC.], 2006, 2006 IPCC Guidel. 3. Natl. Greenh. Gas Invent, V4
   EPA, 2013, GLOB MIT NON CO 2 GR
   EPA (U.S. Environmental Protection Agency, 1999, LIV MAN MAN
   Esminger M.E., 1990, FEEDS NUTR FORMERLY
   FAO (Food and Agriculture Organization of the United Nations, 2017, GAEZ GLOB AGR ZON
   [Field CB. IPCC IPCC], 2014, CLIMATE CHANGE 2014, P1132
   Finocchiaro R, 2005, J DAIRY SCI, V88, P1855, DOI 10.3168/jds.S0022-0302(05)72860-5
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Food Agriculture Organization of the United Nations, 1986, FARM STRUCT TROP CLI
   Fregley MJ, 1996, HDB PHYSIOL SECT 4, P3
   Garnett T, 2009, ENVIRON SCI POLICY, V12, P491, DOI 10.1016/j.envsci.2009.01.006
   Gerber PJ, 2008, AGR SYST, V96, P37, DOI 10.1016/j.agsy.2007.05.004
   Gerber PJ, 2013, Tackling climate change through livestock-A global assessment of emissions and mitigation opportunities
   Goldewijk K., 1997, 100 YEAR 1980 1990 D
   Hahn GL, 1999, J ANIM SCI, V77, P10
   Hales KE, 2012, J ANIM SCI, V90, P3174, DOI 10.2527/jas.2011-4441
   Hansen PJ, 2007, THERIOGENOLOGY, V68, pS242, DOI 10.1016/j.theriogenology.2007.04.008
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   Hatfield J.L., 2008, EFFECTS CLIMATE CHAN
   Hatfield JL, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P27
   Havlík P, 2013, AM J AGR ECON, V95, P442, DOI 10.1093/ajae/aas085
   Henderson BB, 2015, AGR ECOSYST ENVIRON, V207, P91, DOI 10.1016/j.agee.2015.03.029
   Henry B, 2012, CROP PASTURE SCI, V63, P191, DOI 10.1071/CP11169
   Herrero M, 2008, AGR ECOSYST ENVIRON, V126, P122, DOI 10.1016/j.agee.2008.01.017
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Hess H.D., 2006, International Congress Series, V1293, P164, DOI [10.1016/j.ics.2006.01.010, DOI 10.1016/J.ICS.2006.01.010]
   HOLLAND EA, 1992, AM NAT, V140, P685, DOI 10.1086/285435
   Howden SM, 2008, AUST J EXP AGR, V48, P780, DOI 10.1071/EA08033
   Hristov AN, 2013, J ANIM SCI, V91, P5045, DOI 10.2527/jas.2013-6583
   Hurst P., 2005, AGR WORKERS THEIR CO
   IFAD (International Fund for Agricultural Development), 2010, LIV CLIM CHANG
   Iglesias A., 2007, Adaptation to climate change in the agricultural sector
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   IPCC, 2000, LAND USE LAND USE CH
   IPCC, 1997, IPCC OECD IEA PROGR
   Johnson H.D., 1980, Environmental physiology: Aging, heat and altitude, P3
   Jones AK, 2013, ENVIRON SCI POLICY, V29, P46, DOI 10.1016/j.envsci.2013.02.003
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Jungbluth T, 2001, NUTR CYCL AGROECOSYS, V60, P133, DOI 10.1023/A:1012621627268
   Kadzere CT, 2002, LIVEST PROD SCI, V77, P59, DOI 10.1016/S0301-6226(01)00330-X
   Karaca AG, 2002, POULTRY SCI, V81, P1904, DOI 10.1093/ps/81.12.1904
   Karl T. R., 2009, Global climate change impacts in the United States
   King JM, 2006, ANIM SCI, V82, P705, DOI 10.1079/ASC200689
   Kunavongkrit A, 2005, THERIOGENOLOGY, V63, P657, DOI 10.1016/j.theriogenology.2004.09.039
   Kurukulasuriya P., 2003, Climate change and agriculture: A review of impacts and adaptations
   Lacetera N, 2003, EAAP TECH, P45
   Lacetera N., 1996, Rivista di Agricoltura Subtropicale e tropicale, V90, P43
   Lake IR, 2012, ENVIRON HEALTH PERSP, V120, P1520, DOI 10.1289/ehp.1104424
   LEAD (Livestock Environment and Development), 2014, LIV ROL DEF
   Lucas EM, 2000, J AGR ENG RES, V76, P363, DOI 10.1006/jaer.2000.0550
   Mader TL, 2004, J ANIM SCI, V82, P3077
   Martin C, 2010, ANIMAL, V4, P351, DOI 10.1017/S1751731109990620
   Mashaly MM, 2004, POULTRY SCI, V83, P889, DOI 10.1093/ps/83.6.889
   Mathevon M, 1998, J DAIRY SCI, V81, P3321, DOI 10.3168/jds.S0022-0302(98)75898-9
   MCDOWELL RE, 1968, NATURE, V218, P641, DOI 10.1038/218641a0
   [McLeod A. Food and Agriculture Organization of the United Nations Food and Agriculture Organization of the United Nations], 2011, World livestock 2011: Livestock in food security
   Millenium Ecosystem Assessment (MEA), 2005, A Report of the Millennium Ecosystem Assessment
   Mitlöhner FM, 2001, J ANIM SCI, V79, P2327
   Monteny GJ, 2001, NUTR CYCL AGROECOSYS, V60, P123, DOI 10.1023/A:1012602911339
   Mosier A, 1998, NUTR CYCL AGROECOSYS, V52, P225, DOI 10.1023/A:1009740530221
   Mosier Arvin, 2004, Environment Development and Sustainability, V6, P11, DOI 10.1023/B:ENVI.0000003627.43162.ae
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   NOVERO RP, 1991, POULTRY SCI, V70, P2335, DOI 10.3382/ps.0702335
   O'Mara FP, 2012, ANN BOT-LONDON, V110, P1263, DOI 10.1093/aob/mcs209
   Oliver DM, 2012, ENVIRON MODELL SOFTW, V36, P76, DOI 10.1016/j.envsoft.2011.09.013
   Olivier J., 2012, CO2 EM FUEL COMB, P540, DOI 10.1787/co2_fuel-2012-en
   OLSSON K, 1989, Q J EXP PHYSIOL CMS, V74, P645, DOI 10.1113/expphysiol.1989.sp003317
   Patz JA, 2000, INT J PARASITOL, V30, P1395, DOI 10.1016/S0020-7519(00)00141-7
   Paustian K, 1997, SOIL USE MANAGE, V13, P230, DOI 10.1111/j.1475-2743.1997.tb00594.x
   Perry B., 2009, GLOBAL LIVESTOCK DIS
   Polley HW, 2013, RANGELAND ECOL MANAG, V66, P493, DOI 10.2111/REM-D-12-00068.1
   Randolph SE, 2008, REV SCI TECH OIE, V27, P367, DOI 10.20506/rst.27.2.1805
   Renaudeau D, 2012, ANIMAL, V6, P707, DOI 10.1017/S1751731111002448
   Reynolds C, 2010, OUTLOOK AGR, V39, P245, DOI 10.5367/oa.2010.0015
   Rischkowsky B., 2007, STATE WORLDS ANIMAL
   Ronchi B, 2001, LIVEST PROD SCI, V68, P231, DOI 10.1016/S0301-6226(00)00232-3
   Ronchi B., 1999, ZOOT NUTR ANIM, V25, P71
   Rosegrant M.W., 2002, Global Water Outlook to 2025: Averting an Impending Crisis
   Rötter R, 1999, CLIMATIC CHANGE, V43, P651, DOI 10.1023/A:1005541132734
   Rowlinson P., 2008, LIV GLOB CLIM CHANG, P56
   Rowlinson P., 2008, P LIV GLOB CLIM CHAN, P61
   Sainz R.D, 2003, FRAMEWORK CALCULATIN
   Sanz-Sáez A, 2012, J PLANT PHYSIOL, V169, P782, DOI 10.1016/j.jplph.2012.01.010
   Seerapu SR, 2015, VET WORLD, V8, P1444, DOI 10.14202/vetworld.2015.1444-1452
   Seguin B., 2008, P LIV GLOB CLIM CHAN, P9
   Seo SN, 2008, AGR ECON-BLACKWELL, V38, P151, DOI 10.1111/j.1574-0862.2008.00289.x
   Sirohi S, 2007, CLIMATIC CHANGE, V85, P285, DOI 10.1007/s10584-007-9241-8
   Smil V., 2001, Enriching the Earth, P1
   Smith J, 2013, RENEW AGR FOOD SYST, V28, P80, DOI 10.1017/S1742170511000585
   St-Pierre NR, 2003, J DAIRY SCI, V86, pE52, DOI 10.3168/jds.S0022-0302(03)74040-5
   Stehfest E, 2009, CLIMATIC CHANGE, V95, P83, DOI 10.1007/s10584-008-9534-6
   Steinfeld H., 2006, Renewable Resources Journal, V24, P15
   SUNDQUIST ET, 1993, SCIENCE, V259, P934, DOI 10.1126/science.259.5097.934
   Swingland Ian R., 2001, P377
   Tankson JD, 2001, POULTRY SCI, V80, P1384, DOI 10.1093/ps/80.9.1384
   Tennigkeit T., 2008, Carbon finance in rangelands: An assessment of potential in communal rangelands
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Thornton P.K., 2008, Vulnerability, climate change and livestock: Research opportunities and challenges for poverty alleviation
   Thornton PK, 2010, P NATL ACAD SCI USA, V107, P19667, DOI 10.1073/pnas.0912890107
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Thornton PK, 2010, MITIG ADAPT STRAT GL, V15, P169, DOI 10.1007/s11027-009-9210-9
   Thornton PK, 2015, 120 CGIAR CCAFS
   Tubiello F., 2008, Climate Change Response Strategies for Agriculture: Challenges and Opportunities for the 21st Century
   *UN FAO, 1996, AGR ZON GUID
   UNEP (United Nations Environment Programme), 2012, GLOB ENV OUTL 5 CHAP
   UNFCCC (United Nations Framework Convention on Climate Change), 2014, Global warming potentials
   USDA, 2013, USDA TECHNICAL B
   USDA-NRCS (United States Department of Agriculture- Natural Resources Conservation Service, 2006, CONS PRACT SAV EN CO
   USDA-NRCS (United States Department of Agriculture- Natural Resources Conservation Service, 2007, LEG RES CONS PROGR
   van der Spiegel M, 2012, FOOD RES INT, V46, P201, DOI 10.1016/j.foodres.2011.12.011
   Wand SJE, 1999, GLOB CHANGE BIOL, V5, P723, DOI 10.1046/j.1365-2486.1999.00265.x
   Wassenaar T, 2007, GLOBAL ENVIRON CHANG, V17, P86, DOI 10.1016/j.gloenvcha.2006.03.007
   WAYMAN O, 1962, J DAIRY SCI, V45, P1472, DOI 10.3168/jds.S0022-0302(62)89658-1
   WEBSTER AJF, 1991, EAAP PUBLIC, V55, P15
   WEC World Energy Council, 2015, 2015 WORLD EN ISS MO
   White N, 2003, CLIMATIC CHANGE, V61, P157, DOI 10.1023/A:1026354712890
   White RP, 2000, Pilot Analysis of Global Ecosystems: Grassland Ecosystems, DOI DOI 10.1038/NCLIMATE1223
   Wittman EJ, 2001, REV SCI TECH OIE, V20, P731, DOI 10.20506/rst.20.3.1306
   Wolfenson D, 2000, ANIM REPROD SCI, V60, P535, DOI 10.1016/S0378-4320(00)00102-0
   Wright IA, 2012, J SCI FOOD AGR, V92, P1010, DOI 10.1002/jsfa.4556
   Yan T, 2000, LIVEST PROD SCI, V64, P253, DOI 10.1016/S0301-6226(99)00145-1
NR 169
TC 709
Z9 790
U1 48
U2 430
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2017
VL 16
BP 145
EP 163
DI 10.1016/j.crm.2017.02.001
PG 19
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FB0RK
UT WOS:000405852000012
OA gold
HC Y
HP N
DA 2025-01-10
ER

PT S
AU Triyanti, A
   Walz, Y
   Marfai, MA
   Renaud, F
   Djalante, R
AF Triyanti, Annisa
   Walz, Yvonne
   Marfai, Muhammad Aris
   Renaud, Fabrice
   Djalante, Riyanti
BE Djalante, R
   Garschagen, M
   Thomalla, F
   Shaw, R
TI Ecosystem-Based Disaster Risk Reduction in Indonesia: Unfolding
   Challenges and Opportunities
SO DISASTER RISK REDUCTION IN INDONESIA: PROGRESS, CHALLENGES, AND ISSUES
SE Disaster Risk Reduction
LA English
DT Article; Book Chapter
DE Ecosystem; Eco-DRR; Challenges; Opportunities; Indonesia
ID CLIMATE-CHANGE ADAPTATION; COASTAL ECOSYSTEMS; NATURAL HAZARDS; 2004
   TSUNAMI; CENTRAL JAVA; BLUE CARBON; SERVICES; IMPACT; MANAGEMENT;
   RESPONSES
AB The role of ecosystems has been recently acknowledged within the current global framework for environmental management, disaster risk reduction, climate change adaptation and also sustainable development. The approach of ecosystem-based disaster risk reduction (Eco-DRR) is promoted as a compatible with community inclusiveness and participation, as well as cost efficient, socially friendly and sustainable.
   Notwithstanding its acknowledged strengths, Eco-DRR approaches face many challenges, including skepticism of its effectiveness towards different types and magnitudes of hazards and the complexity to govern such effort. In Indonesia, DRR approaches are strongly influenced by the spirit of community participation, especially after the 2004 tsunami in Aceh and the 2009 earthquake in Padang. We argue that the learning process is important to integrate structural and non-structural measures by incorporating community involvement in Indonesia, and that Eco-DRR Eco-should be promoted, particularly to identify possible opportunities to preserve ecosystems and reduce disaster risk.
   The aims of this chapter are to explore the general concept of Eco-DRR, to review examples of Eco-DRR projects and to unfold the challenges and opportunities for Eco-DRR projects in Indonesia. Data is gathered through semi-structured literature reviews and content analysis of existing research related to Eco-DRR projects in Indonesia. Demak, a coastal area in Central Java Province and the Kuwaru coastal area in Yogyakarta Special Province are selected as case studies. The outcome of this chapter is a reflection on challenges and opportunities for further advancement of Eco-DRR to achieve disaster resilient and sustainable communities in Indonesia.
C1 [Triyanti, Annisa] Univ Amsterdam, Dept Human Geog Planning & Int Dev, Amsterdam, Netherlands.
   [Triyanti, Annisa; Marfai, Muhammad Aris] Univ Gadjah Mada UGM, Fac Geog, Yogyakarta, Indonesia.
   [Walz, Yvonne; Renaud, Fabrice; Djalante, Riyanti] United Nations Univ, Inst Environm & Human Secur UNU EHS, Bonn, Germany.
   [Djalante, Riyanti] Local Govt Kendari City, Southeast Sulawesi, Indonesia.
C3 University of Amsterdam
RP Triyanti, A (corresponding author), Univ Amsterdam, Dept Human Geog Planning & Int Dev, Amsterdam, Netherlands.; Triyanti, A (corresponding author), Univ Gadjah Mada UGM, Fac Geog, Yogyakarta, Indonesia.
EM A.Triyanti@uva.nl; walz@ehs.unu.edu; arismarfai@yahoo.com;
   renaud@ehs.unu.edu; djalante@ehs.unu.edu
RI Djalante, Riyanti/X-3179-2019; Renaud, Fabrice/M-3249-2017
OI Triyanti, Annisa/0000-0001-5524-7551
CR Alcántara-Ayala I, 2002, GEOMORPHOLOGY, V47, P107, DOI 10.1016/S0169-555X(02)00083-1
   Alongi DM, 2016, WETL ECOL MANAG, V24, P3, DOI 10.1007/s11273-015-9446-y
   [Anonymous], 2007, HYOGO FRAMEWORK ACTI
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], ROLE ECOSYSTEMS DISA
   [Anonymous], 2014, At Risk: Natural Hazards, People's Vulnerability and Disasters
   [Anonymous], 2015, HDB PRACTITIONERS
   Baird AH, 2005, CURR BIOL, V15, P1926, DOI 10.1016/j.cub.2005.09.036
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bayas JCL, 2011, P NATL ACAD SCI USA, V108, P18612, DOI 10.1073/pnas.1013516108
   Beck M. W, 2016, Wealth Accounting and the Valuation of Ecosystem Services Partnership (WAVES)
   Centre of Research on the Epidemiology of Disaster (CRED), 2016, HUM COST WEATH REL D
   Check E, 2005, NATURE, V438, P910, DOI 10.1038/438910a
   Chew OM, 2003, INT J ECOL ENV SCI, V29, P79
   Cochard R, 2008, PERSPECT PLANT ECOL, V10, P3, DOI 10.1016/j.ppees.2007.11.001
   Daigneault A, 2016, ECOL ECON, V122, P25, DOI 10.1016/j.ecolecon.2015.11.023
   Dewi RS, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8030190
   Dilley M, 2005, DISAST RISK MANAGE, P1
   ESTRELLA M., 2013, The Role of Ecosystems in Disaster Risk Reduction, P437
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Foltyn D, 2014, THESIS COLOGNE U APP
   Garschagen M, 2015, WORLD RISK REPORT BU
   [Gupta A.K. National Institute of Disaster Management National Institute of Disaster Management], 2012, Ecosystem Approach to Disaster Risk Reduction
   Halim A, 2007, INVOLVING RESOURCE U
   Harwitasari D, 2011, J FLOOD RISK MANAG, V4, P216, DOI 10.1111/j.1753-318X.2011.01104.x
   Karr J R., 2000, Introduction: Sustaining living rivers, P1
   Kathiresan K, 2005, ESTUAR COAST SHELF S, V65, P601, DOI 10.1016/j.ecss.2005.06.022
   Kerr AM, 2007, BIOSCIENCE, V57, P102, DOI 10.1641/B570202
   Kerr AM, 2006, ESTUAR COAST SHELF S, V67, P539, DOI 10.1016/j.ecss.2005.12.012
   Koch EW, 2009, FRONT ECOL ENVIRON, V7, P29, DOI 10.1890/080126
   König HJ, 2013, J ENVIRON MANAGE, V127, pS56, DOI 10.1016/j.jenvman.2012.10.021
   Lamond JE, 2014, WATER RESOURCES BUIL, DOI [10.1002/9781118809167.ch28, DOI 10.1002/9781118809167.CH28]
   Lavigne F, 2006, REG ENVIRON CHANGE, V6, P86, DOI 10.1007/s10113-005-0009-2
   Marfai M.A., 2011, INT J SER GEOGRAFIE, V21, P2011
   Marfai MA, 2008, ENVIRON GEOL, V56, P335, DOI 10.1007/s00254-007-1169-9
   Marfai MA, 2014, QUAEST GEOGR, V33, P107, DOI 10.2478/quageo-2014-0008
   Marfai MA, 2015, NAT HAZARDS, V75, P1127, DOI 10.1007/s11069-014-1365-3
   Marfai MA, 2011, QUAEST GEOGR, V30, P19, DOI 10.2478/v10117-011-0024-y
   Merdeka S, 2016, ATASI ABRASI DENGAN
   Miteva DA, 2015, ECOL ECON, V119, P127, DOI 10.1016/j.ecolecon.2015.08.005
   Mukherjee N, 2010, ENVIRON MANAGE, V46, P329, DOI 10.1007/s00267-010-9523-1
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Nehren U., 2014, ECOSYSTEM BASED DISA
   Nel JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095942
   Pattanayak SK, 2001, ENVIRON DEV ECON, V6, P123, DOI 10.1017/S1355770X01000079
   ProAct Network, 2008, ROL ENV MAN EC DIS R
   Quarantelli E.L., 2005, What is a disaster?: a dozen perspectives on the question
   Rahajoe JS, 2014, IMPACTS AGRICULTURAL, DOI [10.1002/ 9781118854945.ch13, DOI 10.1002/9781118854945.CH13]
   Randall J. J., 2008, Proceedings of the 33rd WEDC International Conference - Access to sanitation and safe water: global partnerships and local actions, Accra, Ghana, 2008., P72
   [Renaud FabriceG. UNU (United Nations University) UNU (United Nations University)], 2013, The Role of Ecosystems in Disaster Risk Reduction
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Sakijege T., 2014, Journal of Environmental Protection, V5, P760
   Santi PA, 2015, THESIS U GADJAH MADA
   Shaw R, 2008, J ENVIRON MANAGE, V89, P1, DOI 10.1016/j.jenvman.2007.04.001
   Sonak S, 2008, J ENVIRON MANAGE, V89, P14, DOI 10.1016/j.jenvman.2007.01.052
   Spalding Mark., 2014, Guidelines for Coastal Managers Policy Makers
   Spalding MD, 2014, CONSERV LETT, V7, P293, DOI 10.1111/conl.12074
   Sudibyakto MS, 2004, CAPACITY BUILDING IN
   Sudmeier-Rieux K, 2013, The Role of Ecosystems in Disaster Risk Reduction, P3
   Sudmeier-Rieux K., 2006, Ecosystems, Livelihoods and Disasters: An integrated approach to disaster risk management
   Sudmeier-Rieux K., 2009, Environmental Guidance Note for Disaster Risk Reduction: Healthy Ecosystems for Human Security, Revised Edition
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Tonneijck F, 2016, BUILDING NATURE INDO
   Tonneijck F., 2015, BUILDING NATURE INDO
   Triyanti A, 2013, THESIS U GADJAH MADA
   Turner RK, 2007, GLOBAL ENVIRON CHANG, V17, P397, DOI 10.1016/j.gloenvcha.2007.05.006
   UNFCCC, 2015, PAR AGR
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   United Nations, 2015, No.A/RES/70/1.
   Uy N, 2012, COMMUN ENV DISASTER, V12, P41
   van Beukering PJH, 2003, ECOL ECON, V44, P43, DOI 10.1016/S0921-8009(02)00224-0
   Vollmer D, 2016, SUSTAIN CITIES SOC, V20, P237, DOI 10.1016/j.scs.2015.10.004
   Vollmer D, 2015, J AM WATER RESOUR AS, V51, P672, DOI 10.1111/1752-1688.12316
   Wahyudi S.I., 2012, INT J CIVIL ENV ENG, V12, P65
   Waterman R E., 2010, Integrated Coastal Policy via Building with Nature
   Wisner Ben., 2012, ROUTLEDGE HDB HAZARD, DOI DOI 10.4324/9780203844236
NR 76
TC 3
Z9 4
U1 0
U2 7
PU SPRINGER-VERLAG TOKYO
PI TOKYO
PA 37-3, HONGO 3-CHOME BONKYO-KU, TOKYO, 113, JAPAN
SN 2196-4106
BN 978-3-319-54466-3; 978-3-319-54465-6
J9 DISAST RISK REDUCT
PY 2017
BP 445
EP 467
DI 10.1007/978-3-319-54466-3_18
D2 10.1007/978-3-319-54466-3
PG 23
WC Area Studies; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Area Studies; Environmental Sciences & Ecology
GA BJ8LZ
UT WOS:000428466900019
DA 2025-01-10
ER

PT J
AU Esralew, RA
   Flint, L
   Thorne, JH
   Boynton, R
   Flint, A
AF Esralew, Rachel A.
   Flint, Lorraine
   Thorne, James H.
   Boynton, Ryan
   Flint, Alan
TI A Framework for Effective Use of Hydroclimate Models in Climate-Change
   Adaptation Planning for Managed Habitats with Limited Hydrologic
   Response Data
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Hydrologic model; Water supply; Managed wetland;
   Vulnerability assessment; Adaptation planning
AB Climate-change adaptation planning for managed wetlands is challenging under uncertain futures when the impact of historic climate variability on wetland response is unquantified. We assessed vulnerability of Modoc National Wildlife Refuge (MNWR) through use of the Basin Characterization Model (BCM) landscape hydrology model, and six global climate models, representing projected wetter and drier conditions. We further developed a conceptual model that provides greater value for water managers by incorporating the BCM outputs into a conceptual framework that links modeled parameters to refuge management outcomes. This framework was used to identify landscape hydrology parameters that reflect refuge sensitivity to changes in (1) climatic water deficit (CWD) and recharge, and (2) the magnitude, timing, and frequency of water inputs. BCM outputs were developed for 1981-2100 to assess changes and forecast the probability of experiencing wet and dry water year types that have historically resulted in challenging conditions for refuge habitat management. We used a Yule's Q skill score to estimate the probability of modeled discharge that best represents historic water year types. CWD increased in all models across 72.3-100 % of the water supply basin by 2100. Earlier timing in discharge, greater cool season discharge, and lesser irrigation season water supply were predicted by most models. Under the worst-case scenario, moderately dry years increased from 10-20 to 40-60 % by 2100. MNWR could adapt by storing additional water during the cool season for later use and prioritizing irrigation of habitats during dry years.
C1 [Esralew, Rachel A.] US Fish & Wildlife Serv, Pacific Southwest Reg Refuges Inventory & Monitor, 3020 State Univ Dr East Suite 2007, Sacramento, CA 95819 USA.
   [Flint, Lorraine; Flint, Alan] US Geol Survey, Calif Water Sci Ctr, Placer Hall,6000 J St, Sacramento, CA 95819 USA.
   [Thorne, James H.; Boynton, Ryan] Univ Calif Davis, Environm Informat Ctr, Dept Environm Sci & Policy, One Shields Ave, Davis, CA 95616 USA.
C3 United States Department of the Interior; US Fish & Wildlife Service;
   United States Department of the Interior; United States Geological
   Survey; University of California System; University of California Davis
RP Esralew, RA (corresponding author), US Fish & Wildlife Serv, Pacific Southwest Reg Refuges Inventory & Monitor, 3020 State Univ Dr East Suite 2007, Sacramento, CA 95819 USA.
EM Rachel_Esralew@fws.gov; lflint@usgs.gov; jhthorne@ucdavis.edu;
   rmboynton@ucdavis.edu; aflint@usgs.gov
OI Thorne, James/0000-0002-9130-9921; Boynton, Ryan/0000-0002-3952-2573
FU USFWS Pacific Southwest Region Refuges Inventory and Monitoring Program;
   California Landscape Conservation Cooperative
FX We thank the USFWS Pacific Southwest Region Refuges Inventory and
   Monitoring Program for funding and support for this project. We thank
   the California Landscape Conservation Cooperative for supporting funding
   for BCM development and enhancement. We thank Meghan Hughes for
   assistance with development of calculations for landscape modeling. We
   thank Steve Clay, Greg Albertson, Dominic Bachman, Sean Cross, and
   others on staff at the Modoc National Wildlife Refuge, USFWS, for
   providing key background information on refuge management,
   identification of water year types for refuge management, and for
   providing feedback on the results and development of adaptation
   strategies. We thank Grant Graves at the U.S. Geological Survey for
   pre-submission review.
CR Agresti A., 2018, An introduction to categorical data analysis
   [Anonymous], 1997, R5-EM-TP-005
   [Anonymous], RIS URG CHALL STRAT
   [Anonymous], 2011, Managing California's water: From conflict to reconciliation
   [Anonymous], 2011, SCANNING CONSERVATIO
   Baxter, 2006, STRAT HAB CONS FIN R
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS1, DOI 10.1007/s10584-007-9352-2
   Cayan DR, 2001, B AM METEOROL SOC, V82, P399, DOI 10.1175/1520-0477(2001)082<0399:CITOOS>2.3.CO;2
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Esralew RA, 2013, 15995 USFWS
   Fischman RL, 2003, NATL WILDLIFE REFUGE
   Fisher R. A., 1946, Statistical methods for research workers.
   Flint, 2012, US GEOLOGICAL SURVEY
   Flint LE, 2012, HYDROL EARTH SYST SC, V16, P3817, DOI 10.5194/hess-16-3817-2012
   Flint L.E., 2014, California basin characterization model downscaled climate and hydrology/historical California basin characterization model downscaled climate and hydrology
   Flint L.E., 2007, GROUND WATER RECHARG, P29
   Flint L.E., 2013, ECOL PROCESS, V2, P1, DOI [DOI 10.1186/2192-1709-2-25, 10.1186/2192-1709-2-25]
   Fujino J, 2006, ENERG J, P343, DOI 10.5547/issn0195-6574-ej-volsi2006-nosi3-17
   Hidalgo HG, 2008, CALIFORNIA ENERGY CO
   Maurer EP, 2008, HYDROL EARTH SYST SC, V12, P551
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Mote PW, 2005, B AM METEOROL SOC, V86, P39, DOI 10.1175/BAMS-86-1-39
   Null SE, 2013, WATER RESOUR RES, V49, P1137, DOI 10.1002/wrcr.20097
   Parry M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P1
   Pringle CM, 2000, ECOL APPL, V10, P971, DOI 10.1890/1051-0761(2000)010[0971:TTUSPL]2.0.CO;2
   Pringle CM, 2001, ECOL APPL, V11, P981, DOI 10.1890/1051-0761(2001)011[0981:HCATMO]2.0.CO;2
   Redmond KT, 2002, B AM METEOROL SOC, V83, P1143, DOI 10.1175/1520-0477-83.8.1143
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stephenson DB, 2000, WEATHER FORECAST, V15, P221, DOI 10.1175/1520-0434(2000)015<0221:UOTORF>2.0.CO;2
   Stewart IT, 2005, J CLIMATE, V18, P1136, DOI 10.1175/JCLI3321.1
   Thorne JH, 2012, CEC5002012010
   USFWS, 2014, REG 8 WAT ENT NEEDS
   USFWS, 2009, MOD NAT WILDL REF FI
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Yule GU, 1900, PHILOS T R SOC LOND, V194, P257, DOI 10.1098/rsta.1900.0019
NR 35
TC 5
Z9 5
U1 0
U2 9
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JUL
PY 2016
VL 58
IS 1
BP 60
EP 75
DI 10.1007/s00267-015-0569-y
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA DQ4FO
UT WOS:000379159600005
PM 26141222
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Carmichael, B
AF Carmichael, Bethune
TI Supporting Indigenous rangers' management of climate-change impacts on
   heritage sites: developing an effective planning tool and assessing its
   value
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 climate-change adaptation; cultural geography; environmental management;
   heritage studies; Indigenous knowledge
ID ADAPTATION
AB Australian rangelands are rich in Indigenous cultural heritage sites and Indigenous rangers increasingly manage them. It is well documented that climate-change adaptation planning on a local scale benefits from a stakeholder-led or bottom-up process. However, to date, few bottom-up, practical adaptation pathways exist for Indigenous Australians. This paper describes the development of a planning tool that supports Indigenous rangers' plan for climate-change impacts on cultural heritage sites. To date, a limited number of methodologies for managing climate-change impacts on heritage sites have been developed internationally. Importantly these are not geared to a bottom-up planning process. By contrast, many generic adaptation decision-support tools exist that support bottom-up planning. These tools commonly begin with a scoping phase. The scoping phase of a tool that supports Indigenous rangers manage climate-change impacts on heritage sites is described. A validation model, consisting of central assumptions behind each element of the scoping phase, is then set out. Future testing in the field would involve assessment of the tool through confirmation or otherwise of these assumptions. The first two assumptions in the validation model are then addressed: that Indigenous rangers perceive climate-change impacts on heritage sites and that planning for them is a priority need. Previous literature has not addressed these questions in detail. Only if positive responses are gained for these foundational assumptions can future testing of the tool be justified. Results from preliminary fieldwork undertaken in northern Australia found Indigenous rangers in two out of three case studies perceive impacts on heritage sites, and regard addressing these impacts as a priority.
C1 [Carmichael, Bethune] Australian Natl Univ, Canberra, ACT 0200, Australia.
   [Carmichael, Bethune] Charles Darwin Univ, Alice Springs, NT 0871, Australia.
C3 Australian National University; Charles Darwin University
RP Carmichael, B (corresponding author), Australian Natl Univ, Canberra, ACT 0200, Australia.
EM bethune.carmichael@cdu.edu.au
FU Australian National University; Charles Darwin University; Australian
   Research Council (ARC) Discovery Project [DP120100512]; ARC Linkage
   Project [LP110201128]; Australian Research Council [LP110201128] Funding
   Source: Australian Research Council
FX The author wishes to acknowledge the invaluable input of the Djelk
   rangers, especially Victor Rostron, Greg Wilson, Ivan Namarnyilk, Obed
   Namirriki, Alfie Galaminda, Daryl Redford and William Dennis; Djelk
   support staff, Dominic Nicholls, Alys Stevens, Alex Ernst; and
   traditional owners, especially Wayne Campion, Helen Williams and Matthew
   Ryan. The author also wishes to acknowledge the invaluable input of the
   KNP rangers, especially Jimmy Marimowa, Sean Nadji, Simon Dempsey,
   Jacqueline Cahill, Jeffrey Lee; and traditional owners, especially
   Natasha Nadji; and Kakadu support staff, Gabrielle O'Loughlin. Thanks
   are also due to Dr Sally Brockwell, ANU. This project was supported with
   funding from the Australian National University, Charles Darwin
   University and the Australian Research Council (ARC) Discovery Project
   (DP120100512) and ARC Linkage Project (LP110201128).
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Altman J., 2012, People on Country: Vital Landscapes
   Altman JK Jordan., 2008, Impact of Climate Change on Indigenous Australians: Submission to the Garnaut Climate Change Review
   [Anonymous], 2013, UKCIP ADAPTATION WIZ
   [Anonymous], CLIM CHANG RISK ASS
   Baumgartner J., 2006, Conservation Action Planning Handbook
   Bickler S., 2013, The Impact of Climate Change on The Archaeology of New Zealand's Coastline. A Case Study From the Whangarei District
   Bird D., 2013, Future Change in Ancient Worlds: Indigenous Adaptation in Northern Australia
   Burton I., 2005, UNDP (United Nations Development Programme) Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures
   Butler J., 2013, Masig Yesterday, Today and Tomorrow: Community Future Scenarios and Adaptation Strategies
   Cassar May., 2009, APT Bulletin, V40, P3, DOI DOI 10.2307/27650524
   Daire M.-Y., 2014, J ISL COAST ARCHAEOL, V7, P183
   Dawson Tom., 2015, FUTURE HERITAGE CLIM, P248
   Daze A., 2009, CARE climate vulnerability and capacity analysis handbook
   Department of Environment, 2013, WORK ON COUNTR
   Djelk Rangers, 2014, DJELK HLTH COUNTR PL
   Dupont L, 2013, LAND USE POLICY, V35, P179, DOI 10.1016/j.landusepol.2013.05.010
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Green D., 2009, Risks from Climate Change to Indigenous Communities in the Tropical North of Australia
   Green D, 2012, LOCAL ENVIRON, V17, P295, DOI 10.1080/13549839.2012.665857
   Hinkel J., 2013, UNEP - PROVIA Guidance on Assessing Vulnerability, Impacts and Adaptation to Climate Change
   Hiscock Peter., 2008, ARCHAEOLOGY ANCIENT
   Holmes J, 2010, GEOGR RES-AUST, V48, P342, DOI 10.1111/j.1745-5871.2009.00630.x
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Kakadu Board, 2014, KAK NAT PARK DRAFT M
   Keen I., 2004, Aboriginal Economy and Society
   Langton M., 2012, National Climate Change Adaptation Research Plan for Indigenous Communities
   Leonard S., 2013, Indigenous Climate Change Adaptation in the Kimberley Region of North-Western Australia. Learning from the Past
   McIntyre-Tamwoy S, 2015, ETHICAL ARCHAEOL PO, P69, DOI 10.1007/978-1-4939-1649-8_5
   McIntyre-Tamwoy S, 2013, LOCAL ENVIRON, V18, P91, DOI 10.1080/13549839.2012.716415
   McNamara K., 2012, Limits to Adaptation: Limits to Climate Change Adaptation for Two Low-Lying Communities in the Torres Strait
   Memmott P., 2013, Aboriginal Responses to Climate Change in Arid Zone Australia: Regional Understandings and Capacity Building for Adaptation
   Nursey-Bray M., 2013, Community Based Adaptation to Climate Change: the Arabana, South Australia
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Preston B., 2009, FRAMING VULNERABILIT
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Rowland MJ., 1992, Aust Archaeol, V34, P29, DOI DOI 10.1080/03122417.1992.11681449
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stringer E., 2014, ACTION RES
   Taplin D., 2013, Technical Papers: A Series of Papers to support Development of Theories of Change Based on Practice in the Field
   UNESCO, 2006, Predicting and Managing the Effects of Climate Change on World Heritage: A Joint Report from the World Heritage Centre, Its Advisory Bodies, and a Broad Group of Experts to the 30th Session of the World Heritage Committee
   Walsh F., 2002, PLANNING FOR COUNTRY
   WalterTurnbull, 2010, WORKING COUNTRY EVAL
   Webb R.J. Beh., 2013, Leading adaptation practices and support strategies for Australia: an international and Australian review of products and tools
   Weiss C., 1995, New Approaches to Evaluating Community Initiatives, Vol.1: Concepts, Methods, V1, P1
   [Whetton P. CSIRO BOM CSIRO BOM], 2015, Climate change in Australia technical report. Climate change in Australia information for Australia's natural resource management regions: technical report
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Willows R.I., 2003, CLIMATE ADAPTATION R
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Zander KK, 2013, NAT HAZARDS, V67, P591, DOI 10.1007/s11069-013-0591-4
   Zander KK, 2013, ECOL ECON, V87, P145, DOI 10.1016/j.ecolecon.2012.12.029
NR 53
TC 14
Z9 19
U1 1
U2 29
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 597
EP 607
DI 10.1071/RJ15048
PG 11
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:000367099600007
DA 2025-01-10
ER

PT J
AU Lemieux, CJ
   Gray, PA
   Douglas, AG
   Nielsen, G
   Pearson, D
AF Lemieux, Christopher J.
   Gray, Paul A.
   Douglas, Allan G.
   Nielsen, Gary
   Pearson, David
TI From science to policy: The making of a watershedscale climate change
   adaptation strategy
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Adaptation; Science; Policy; Planning; Management;
   Capacity; Watershed; Decision-support; Vulnerability; Government
ID MANAGEMENT; PERCEPTIONS; IMPACTS; ONTARIO; MODEL; WATER
AB Despite increased commitment to manage for climate change by various levels of government around the world, empirical knowledge of how adaptation processes are convened and policies developed remains scarce. In this paper, we describe the approach, methods, and results of a multi-partner pilot project that was used to assess vulnerabilities of natural and built systems to climate change and develop adaptation options for inclusion in a climate change adaptation strategy for the Lake Simcoe Watershed in Ontario, Canada. The multi-method approach, which included workshops, face-to-face meetings, and an iterative Policy Delphi survey, proved to be efficient and effective in helping identify and understand multi-sector climate change vulnerabilities in the watershed, and in bringing climate change experts and decision-makers together to work on a proactive, science-based policy outcome. Challenges experienced during the adaptation planning process included short project timelines, limited financial resources, and a lack of expertise to address regional vulnerabilities in some sectors. However, the non-linear, iterative nature of the approach provided the capacity required to respond to some of these capacity issues during the pilot project. Overall, the process demonstrated the importance of engaging appropriate expertise and adopting a flexible and stakeholder-enabling adaptation framework. Perspectives for strengthening links among the scientific and policy-making communities are highlighted, and practical lessons learned are provided to help other decision-makers begin and amplify the process of integrating climate change into public policy and planning initiatives. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Lemieux, Christopher J.] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON N2L 3C5, Canada.
   [Gray, Paul A.] Ontario Minist Nat Resources, Sci & Res Branch, Peterborough, ON K9J 8M5, Canada.
   [Douglas, Allan G.] OCCIAR, Sudbury, ON P3E 2C6, Canada.
   [Nielsen, Gary] Ontario Minist Nat Resources, Integrat Branch, Peterborough, ON K9J 8M5, Canada.
   [Pearson, David] Laurentian Univ, Dept Earth Sci, Sudbury, ON P3E 2C6, Canada.
C3 Wilfrid Laurier University; Ministry of Natural Resources & Forestry;
   Ministry of Natural Resources & Forestry; Laurentian University
RP Lemieux, CJ (corresponding author), Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON N2L 3C5, Canada.
EM clemieux@wlu.ca; paul.gray@ontario.ca; adouglas@mirarco.org;
   gary.nielsen@ontario.ca; dpearson@laurentian.ca
OI Lemieux, Christopher/0000-0002-4780-2006
FU Policy Delphi surveys; Social Sciences and Humanities Research Council
   (SSHRC); Ontario Ministry of Natural Resources; Ontario Ministry of
   Environment
FX The authors would like to thank the many scientists, public
   policy-makers, and other stakeholders that were engaged throughout the
   Lake Simcoe climate change adaptation planning process. In particular,
   we thank the many individuals who participated in the Policy Delphi
   surveys, and the Social Sciences and Humanities Research Council
   (SSHRC), Ontario Ministry of Natural Resources and Ontario Ministry of
   Environment for financial support. Finally, we thank the anonymous
   reviewers for their many insightful comments and suggestions, which
   helped us to improve the manuscript.
CR Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], CANADA CHANGING CLIM
   [Anonymous], CLIMATE MODELS ASSES
   [Anonymous], 2009, Shaping climate-resilient development: a framework for decision-making
   [Anonymous], 2011, PRACTITIONERS GUIDE
   [Anonymous], 2002, DELPHI METHOD TECHNI
   [Anonymous], 2014, PHYS SCI BAS WORK GR
   [Anonymous], CCRR05 APPL RES DEV
   [Anonymous], DEP GEOGRAPHY PUBLIC
   [Anonymous], 2011, SCANNING CONSERVATIO
   [Anonymous], 2009, LAK SIMC PROT PLAN
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   B.C. Ministry of Environment, 2011, PREP CLIM CHANG BRIT
   Beniston M., 2013, FRONT INTERDISCIP CL
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Beniston M, 2012, ENVIRON SCI POLICY, V17, P41, DOI 10.1016/j.envsci.2011.12.002
   Berkhout F, 2005, CLIM POLICY, V5, P377
   Brinker S., 2012, CCRR31 RES DEV BRANC
   Brown A., 2011, Managing adaptation: Linking theory and practice
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Cardwell FS, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-208
   Cash DW, 2006, ECOL SOC, V11
   Chu C., 2011, CCRR21 MIN NAT RES
   Clar C, 2013, NAT RESOUR FORUM, V37, P1, DOI 10.1111/1477-8947.12013
   de Loë R, 2001, APPL GEOGR, V21, P1, DOI 10.1016/S0143-6228(00)00013-8
   DeSantis RD, 2013, AGR FOREST METEOROL, V178, P120, DOI 10.1016/j.agrformet.2013.04.015
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Disch J, 2012, CAN WATER RESOUR J, V37, P105, DOI 10.4296/cwrj3702916
   Doria MD, 2009, ENVIRON SCI POLICY, V12, P810, DOI 10.1016/j.envsci.2009.04.001
   Douglas A., 2014, 37 ONT MIN NAT RES S
   Ellenwood M., 2012, ENVIRON MANAGE, V49
   Environment Canada, 2013, CAN CTR CLIM MOD AN
   Environment Canada, 2014, CLIM TRENDS VAR
   Environmental Commissioner of Ontario, 2012, READ CHANG ASS ONT C
   Environmental Commissioners Office (ECO), 2012, READ CHANG ASS ONT C
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Folke C, 2007, ECOL SOC, V12
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gillett NP, 2011, NAT GEOSCI, V4, P83, DOI 10.1038/NGEO1047
   Gouvernement du Quebec, 2012, QUEB ACT GREEN 2020
   Government of Ontario, 2007, GO GREEN ONT ACT PLA
   Gray P.A., 2012, AD SUST FOR MAN CLIM
   Gula J, 2012, J CLIMATE, V25, P7723, DOI 10.1175/JCLI-D-11-00388.1
   Halofsky J.E., 2011, J-FOR, P209
   Huang JG, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056758
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Intergovernmental Panel on Climate Change (IPCC), 2014, CLIM CHANG CLIM CHAN
   Lee KN, 1993, Compass and gyroscope
   Lemieux C.J., 2012, CCRR28 MIN NAT RES
   Lemieux CJ, 2013, J ENVIRON MANAGE, V114, P178, DOI 10.1016/j.jenvman.2012.09.014
   Lemieux CJ, 2011, ENVIRON MANAGE, V48, P675, DOI 10.1007/s00267-011-9700-x
   Lemieux CJ., 2014, J ENV PLAN MANAGE
   Lemmen D.S., 2008, IMPACTS ADAPTATION C
   Lim B., 2004, ADAPTATION POLICY FR
   Lowe A., 2009, ASKING CLIMATE QUEST
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   Moser S., 2009, GOOD MORNING AM
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Moser SC, 2008, MITIG ADAPT STRAT GL, V13, P643, DOI 10.1007/s11027-007-9132-3
   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]
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   Ogden NH, 2006, INT J PARASITOL, V36, P63, DOI 10.1016/j.ijpara.2005.08.016
   Ontario, 2011, CLIM READ ONT AD STR
   Ontario Expert Panel on Climate Change Adaptation, 2009, AD CLIM CHANG ONT DE
   Peck A.M., 2013, URBAN WATER J, P1
   Picketts IM, 2012, ENVIRON SCI POLICY, V17, P82, DOI 10.1016/j.envsci.2011.12.011
   Pinto E., 2008, COMPENDIUM METHODS T
   Roux DJ, 2006, ECOL SOC, V11
   Scott D, 2007, CAN GEOGR-GEOGR CAN, V51, P219, DOI 10.1111/j.1541-0064.2007.00175.x
   Sheppard SRJ, 2005, ENVIRON SCI POLICY, V8, P637, DOI 10.1016/j.envsci.2005.08.002
   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
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   Snover A.K., 2007, PREPARING CLIMATE CH
   Statistics Canada, 2012, CENS PROF
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Walpole A.A., 2011, CCRR22 MIN NAT RES A
   Willows R., 2003, UKCIP TECHNICAL REPO
   [No title captured]
NR 83
TC 15
Z9 17
U1 0
U2 79
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 2014
VL 42
BP 123
EP 137
DI 10.1016/j.envsci.2014.06.004
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AP2KK
UT WOS:000341900900011
DA 2025-01-10
ER

PT J
AU Narciso, JO
   Magdalita, PM
   Quilloy, RB
   Beltran, MM
   Navarro, RS
   Magpantay, MH
AF Narciso, Josefina O.
   Magdalita, Pablito M.
   Quilloy, Reynaldo B.
   Beltran, Marilyn M.
   Navarro, Rudy S.
   Magpantay, Maria H.
TI Farmers' Participatory Seed Production of IPB-bred Varieties in Relation
   to Climate Change Adaptation
SO JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT
LA English
DT Article
DE adoption; farmer participation; IPB-bred varieties; peanut; vegetables
AB The participation of farmers residing in agrarian reform communities towards the use of selected IPB-bred vegetable and peanut varieties was assessed Purposive sampling of 18 pre-selected farmers was done and were trained on seed production and cultural management practices of these varieties at the Institute of Plant Breeding. After the implementation of seed production activities in their respective places, it was found that there was a dramatic increase in the amount of vegetable and peanut seeds produced in Antique, Samar, Davao del Sur and South Cotabato. The amount of seeds produced by farmer participants from Samar was highest at 96.2 %. In contrast, the farmer participants from La Union produced the lowest amount of seeds. In relation to climate change adaptation, based from survey, the farmers will be considering a few adjustments in the future implementation of farming activities like adjustments to be made in the planting calendar of these varieties by the farmer participants due to heavy rains occurring starting September every year Also, farmers will implement utilization of the legume residues for composting to produce organic fertilizers which was considered by all (100 %) farmer participants. The peanut that can fix nitrogen from the air were also considered for crop rotation by majority (83.33%) of the farmers in order to lessen the use of inorganic fertilizers causing soil acidity. Further; the farmers indicated that peanut will be utilized for sequential cropping after rice to bring back soil fertility. All farmer participants from Antique, Samar Davao del Sur and South Cotabato indicated the further adoption of the IPB-bred varieties in future production system. There was a highly significant association of the farmer participants' selected demographic variables with the amount of seeds produced
C1 [Narciso, Josefina O.; Magdalita, Pablito M.; Quilloy, Reynaldo B.; Beltran, Marilyn M.; Navarro, Rudy S.; Magpantay, Maria H.] Univ Philippines Los Banos, Coll Agr, Crop Sci Cluster Inst Plant Breeding, College Los Banos 4031, Laguna, Philippines.
C3 University of the Philippines System; University of the Philippines Los
   Banos
RP Narciso, JO (corresponding author), Univ Philippines Los Banos, Coll Agr, Crop Sci Cluster Inst Plant Breeding, College Los Banos 4031, Laguna, Philippines.
EM jonarciso@yahoo.com; pmmagdalita@yahoo.com
FU Department of Agrarian Reform (DAR); Asian Development Bank (ADB);
   Agrarian Reform Communities Project (ARCP)
FX The authors acknowledged the following: Department of Agrarian Reform
   (DAR)-Asian Development Bank (ADB)-Agrarian Reform Communities Project
   (ARCP) for the financial support; the Crop Science Cluster-Institute of
   Plant Breeding for the facilities; Mr. Conrado M. Cervantes and Ms. Ma.
   Fe H. Cayaban, Agricultural and Laboratory Technicians, respectively,
   for the support in the conduct of different field operations, and Ms.
   Erlinda G. Bugawan, Administrative Aide for the preparation and
   processing of relevant documents used in this study.
CR [CSC] Crop Science Cluster, 2008, CSC ANN REP 2007
   [CSC] Crop Science Cluster, 2010, CSC ANN REP 2009
   Dumayaca C.A., 2011, 23 NAT RES S DEP AGR
   Fulgueras L.P., 2011, 23 NAT RES S DEP AGR
   Hagmann J., 1999, 94 AGREN
   Hess C., 2007, READER EXTENSION RES
   [IPB] Institute of Plant Breeding, 2006, IPB ANN REP 2005
   Lansigan F.P., 2008, 16 NAT FRUIT S PHIL
   Lantican R.M., 2001, SCI PRACT CROP PROD
   Lasco R.D., 2010, MOVING FORWARD SE AS, P11
   Magdalita PM, 2011, JACKFRUIT, P89
   Magdalita PM, 2009, PHILIPP J CROP SCI, V34, P119
   Magdalita PM, 2001, PHILIPP AGRIC SCI, V84, P221
   Magdalita PM, 2001, PHILIPP AGRIC SCI, V84, P432
   Magdalita PM, 2009, PHILIPP J CROP SCI, V34, P117
   Narciso JO, 2010, PHILIPP J CROP SCI, V35, P69
   Noori Margaret., 2010, Multicultural Comics, P55
   [PAGASA] Philippine Atmospheric Geophysical and Astronomical Services Administration, 2009, PAGASA WEATH
   Pokorny B., 2005, AGR HUMAN VALUES
   Raymundo AD, 2011, U PHILIPPINES LOS BA, V9, P93
   Razik T.A., 2001, FUNDAMENTAL CONCEPTS, P1
   Torres C.S., 2006, PUBL UNDERSTANDING
   Valencia L.D., 2010, PHILIPPINE J CROP SC, V33, P90
   Woodward B., 1999, AgBioForum, V2, P175
NR 24
TC 1
Z9 1
U1 0
U2 5
PU UNIV PHILIPPINES LOS BANOS, COLLEGE
PI LAGUNA
PA SCHOOL ENVIRONMENTAL SCIENCE & MANAGEMENT, LAGUNA, 4031, PHILIPPINES
SN 0119-1144
J9 J ENVIRON SCI MANAG
JI J. Environ. Sci. Manage.
PY 2013
VL 16
IS 1
BP 63
EP 71
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 278FP
UT WOS:000328874900008
DA 2025-01-10
ER

PT J
AU Khalil, AH
   Thompson, S
AF Khalil, Ali H.
   Thompson, Shirley
TI Climate Change, Food Security and Agricultural Extension in Yemen
SO JOURNAL OF RURAL AND COMMUNITY DEVELOPMENT
LA English
DT Article
DE agriculture extension; climate change; food security; Yemen;
   climate-smart agriculture; adaptation
ID ADAPTATION; IMPACTS; AWARENESS
AB Climate change is challenging the agricultural sector globally and has undermined food security in some countries. Yemen is suffering catastrophic food insecurity attributed to climate change and war. To reduce this food insecurity, agriculture extension workers must facilitate climate-smart agriculture. Of 52 agricultural extension workers who took a climate-smart survey, most (97%) extension workers had observed climatic shifts, including rising temperatures and droughts, with 81% finding climate change a major threat to agriculture. A high percentage of (77%) agricultural extension workers surveyed reported never attending training workshops s on climate change issues, receiving their information from different media, including agriculture research centers (72%), subject matter specialists (67%), and social media (60%). Major barriers to climate-smart extension programs that support sustainable food production for food security in Yemen include a lack of training of programs for extension workers concerning climate change issues, low competence regarding climate change adaptation issues, insufficient number of extension workers to serve farmers, and lack of coordination between extension services and agricultural research centers. Adaptation extension work was undertaken at a moderate level by 61% of respondents, with over half (67%) complaining about having few resources for climate change adaptation programming (67%). Further programming and resources are needed for agricultural extension workers to help farmers combat climate change, food security and malnutrition in Yemen.
C1 [Khalil, Ali H.; Thompson, Shirley] Univ Manitoba, Winnipeg, MB, Canada.
C3 University of Manitoba
RP Khalil, AH (corresponding author), Univ Manitoba, Winnipeg, MB, Canada.
EM alikhalil2@gmail.com; s.thompson@umanitoba.ca
RI Thompson, Shirley/ABI-6725-2020
CR Abah RC, 2014, J AGRIC ENVIRON INT, V108, P153, DOI 10.12895/jaeid.20142.217
   Abegaz DM, 2015, J AGRIC EDUC EXT, V21, P479, DOI 10.1080/1389224X.2014.946936
   Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Ahmad QU, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03629-7
   Aklan Musaed, 2021, SOLAR POWERED IRRIGA
   AL-wesabi I, 2022, ENVIRON SCI POLLUT R, V29, P53907, DOI 10.1007/s11356-022-21369-6
   Alkipsy E. I. H., 2020, Global Journal of Management and Business Research, V20
   [Anonymous], 2023, World Population Dashboard: Congo, the Democratic Republic of the Congo - Overview
   [Anonymous], 2021, The State of Food and Agriculture 2021: Making agrifood systems more resilient to shocks and stresses, DOI [10.4060/cb4476-n, DOI 10.4060/CB4476-N, 10.4060/cb4476en, DOI 10.4060/CB4476EN]
   Antwi-Agyei P, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100304
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Azadi H, 2021, J CLEAN PROD, V319, DOI 10.1016/j.jclepro.2021.128602
   Baig M. B., 2018, Climate change, food security and natural resource management, P19
   Boutasknit A., 2019, Handbook of research on global environmental changes and human health, P53, DOI [10.4018/978-1-5225-7775-1.ch004, DOI 10.4018/978-1-5225-7775-1.CH004]
   Breisinger C., 2020, MENA Policy Note 03, DOI [10.2499/p15738coll2.133552, DOI 10.2499/P15738COLL2.133552]
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   CEOBS (Conflict and Environment Observatory), 2021, GROUNDWATER DEPLETIO
   Christoplos I., 2010, Mobilizing the potential of rural and agricultural extension
   Davies M., 2009, Promoting Pro-Poor Growth: Social Protection (OECD Report)
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Deutsch CA, 2018, SCIENCE, V361, P916, DOI 10.1126/science.aat3466
   FAO, 2024, Agrometeorological Early Warning Bulletin: Early warning: Risk of flash floods increasing due to enhanced rain
   FAO IFAD UNICEF WFP & WHO, 2018, Climate-smart agriculture training manual - A reference manual for agricultural extension workers
   FAOSTAT, 2021, FAO food and agriculture data
   Fevari E., 2021, The 2020 food security crisis in Yemen
   Giovetti O., 2024, The crisis in Yemen, explained five things you need to know in 2024
   Habib-ur-Rahman M, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.925548
   Haigh T, 2015, WEATHER CLIM SOC, V7, P83, DOI 10.1175/WCAS-D-14-00015.1
   Homaid M., 2023, Communities bring life back to lands destroyed by the impacts of climate change
   Integrated Food Insecurity Phase Classification (IPC), 2022, Yemen: Food security & nutrition snapshot
   Integrated Food Insecurity Phase Classification (IPC), 2024, Yemen: Acute food insecurity projection update October 2023 - February 2024. IPC. Yemen: Acute Food Insecurity Projection Update October 2023 - February 2024 | IPC - Integrated Food Security Phase Classification
   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]
   International Committee of the Red Cross (ICRC), 2023, Making adaptation work: Addressing the compounding impacts of climate change, environmental degradation, and conflict in the Near and Middle East
   International Finance Corporation (IFC), 2021, In Yemen, solar power has become a lifeline
   International Labour Organization (ILO), 2016, Yemen damage and needs assessment: Crisis impact on employment and labour market
   Iwuchukwu JC, 2012, J AGRIC EXT, V16, P104, DOI 10.4314/jae.v16i2.9
   Karimi V, 2018, J INTEGR AGR, V17, P1, DOI 10.1016/S2095-3119(17)61794-5
   Khalid S. M. N., 2019, Agricultural Extension Manual
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   MAI, 2021, Annual statistics book
   Makuvaro V, 2018, J ARID ENVIRON, V152, P75, DOI 10.1016/j.jaridenv.2018.01.016
   Maponya P., 2013, J AGR EXTENSION RURA, V5, P137, DOI DOI 10.5897/JAERD12.117
   McCarthy N., 2022, IFAD Research Series, V88
   [Metz B. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Mulhern O., 2021, Mapping the shocking extent of desertification
   Mundy M., 2017, WAR YEMEN ITS AGR SE
   Mundy Martha, 2018, reliefweb
   Oakley P., 1985, Guide to extension training
   Ogunlade I., 2014, Ethiopian Journal of Environmental Studies and Management, V7, P96, DOI 10.4314/ejesm.v7i1.12
   Pearce F., 2024, Yale Environment, V360
   Philip K. A., 2024, CGD Working Paper 681
   Price R. A., 2022, K4D Helpdesk Report 1168, DOI [10.19088/K4D.2022.096, DOI 10.19088/K4D.2022.096]
   Red Cross Red Crescent Climate Centre (RCRCCC), 2024, Climate fact sheet 2024 - Yemen
   Rouabhi A, 2019, J AGRIC ENVIRON INT, V113, P79, DOI 10.12895/jaeid.20191.928
   Ruijs A., 2011, Social Development Working Paper, No. 124
   Schulman S, 2021, RUSI J, V166, P82, DOI 10.1080/03071847.2021.1922196
   Shah T., 2012, IWMI-Tata Water Policy Research Highlight
   Tamdeen Youth Foundation & Oxfam, 2022, A research study on climate changes and local preparedness in the districts of Al-Ma'afer, Taiz Governorate, Yemen
   Thiombiano B. A., 2018, African Journal of Agricultural Research, V13, P294, DOI 10.5897/ajar2017.12939
   Thomas E., 2022, Working paper 2
   Turyasingura Benson, 2023, Turkish Journal of Agriculture - Food Science and Technology, V11, P1195, DOI 10.24925/turjaf.v11i6.1195-1199.5591
   UN, 2019, UN NEWS
   United Nations Development Programme (UNDP), 2014, Prospects of solar energy in Yemen
   United Nations Development Programme (UNDP), 2023, The impact of climate change on human development in Yemen
   United Nations Development Programme (UNDP), 2024, Building resilience
   United Nations High Commissioner for Refugees (UNHCR), 2024, Yemen crisis explained
   United Nations (UN), 2022, Country programme document for Yemen (2023-2024). DP/DCP/YEM/3
   United States Agency for International Development (USAID), Climate change risk profile -Yemen
   van den Ban A.W., 1996, AGR EXTENSION
   Walthall CL., 2012, Climate change and agriculture in the united states: Effects and adaptation
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wilson K. R., 2023, Advancements in Agricultural Development, V4, P24, DOI [10.37433/aad.v4i4.377, DOI 10.37433/AAD.V4I4.377]
   World Bank, 2023, Climate risk country profile: Yemen Report
   World Bank, 2010, Report No. 54196-YE
   World Food Program (WFP), 2023, Yemen situation report #4
   World Food Program (WFP), 2023, Yemen emergency
   Xinhua, 2023, Farmers reel from drought as climate change takes toll in war-torn Yemen
   Yemen Family Care Association (YFCA), 2023, Climate change impacts on Yemen and adaptation strategies
   Yuan XN, 2024, AGRONOMY-BASEL, V14, DOI 10.3390/agronomy14071360
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 80
TC 0
Z9 0
U1 4
U2 4
PU BRANDON UNIV, RURAL DEV DEPT
PI BRANDON
PA 270 18TH ST, BRANDON, MB R7A 6A9, CANADA
SN 1712-8277
J9 J RURAL COMMUNITY D
JI J. Rural Community Dev.
PY 2024
VL 19
IS 3
BP 238
EP 264
PG 27
WC Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Development Studies
GA G7D5Z
UT WOS:001318201800001
DA 2025-01-10
ER

PT J
AU Khalil, AHO
   Thompson, S
AF Khalil, Ali Hasan Obaid
   Thompson, Shirley
TI Climate Change Views of Agricultural Extension Workers in Yemen
SO JOURNAL OF RURAL AND COMMUNITY DEVELOPMENT
LA English
DT Article
DE agriculture extension; climate change; food security; Yemen;
   climate-smart agriculture; adaptation
ID ADAPTATION; IMPACTS; AWARENESS
AB Climate change is challenging the agricultural sector globally and has undermined food security in some countries. Yemen is suffering catastrophic food insecurity attributed to climate change and war. To reduce this food insecurity, agriculture extension workers must facilitate climate-smart agriculture. Of 52 agricultural extension workers who took a climate-smart survey, most (97%) extension workers had observed climatic shifts, including rising temperatures and droughts, with 81% finding climate change a major threat to agriculture. A high percentage of (77%) agricultural extension workers surveyed reported never attending training workshops s on climate change issues, receiving their information from different media, including agriculture research centers (72%), subject matter specialists (67%), and social media (60%). Major barriers to climate-smart extension programs that support sustainable food production for food security in Yemen include a lack of training of programs for extension workers concerning climate change issues, low competence regarding climate change adaptation issues, insufficient number of extension workers to serve farmers, and lack of coordination between extension services and agricultural research centers. Adaptation extension work was undertaken at a moderate level by 61% of respondents, with over half (67%) complaining about having few resources for climate change adaptation programming (67%). Further programming and resources are needed for agricultural extension workers to help farmers combat climate change, food security and malnutrition in Yemen.
C1 [Khalil, Ali Hasan Obaid; Thompson, Shirley] Univ Manitoba, Winnipeg, MB, Canada.
C3 University of Manitoba
RP Khalil, AHO (corresponding author), Univ Manitoba, Winnipeg, MB, Canada.
EM alikhalil2@gmail.com; s.thompson@umanitoba.ca
RI Thompson, Shirley/ABI-6725-2020
CR Abah RC, 2014, J AGRIC ENVIRON INT, V108, P153, DOI 10.12895/jaeid.20142.217
   Abegaz DM, 2015, J AGRIC EDUC EXT, V21, P479, DOI 10.1080/1389224X.2014.946936
   Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Ahmad QU, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03629-7
   Aklan Musaed, 2021, SOLAR POWERED IRRIGA
   AL-wesabi I, 2022, ENVIRON SCI POLLUT R, V29, P53907, DOI 10.1007/s11356-022-21369-6
   Alkipsy E. I. H., 2020, Global Journal of Management and Business Research, V20
   [Anonymous], 2023, World Population Dashboard: Congo, the Democratic Republic of the Congo - Overview
   [Anonymous], 2021, The State of Food and Agriculture 2021: Making agrifood systems more resilient to shocks and stresses, DOI [10.4060/cb4476-n, DOI 10.4060/CB4476-N, 10.4060/cb4476en, DOI 10.4060/CB4476EN]
   Antwi-Agyei P, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100304
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Azadi H, 2021, J CLEAN PROD, V319, DOI 10.1016/j.jclepro.2021.128602
   Baig M. B., 2018, Climate change, food security and natural resource management, P19
   Boutasknit A., 2019, Handbook of research on global environmental changes and human health, P53, DOI [10.4018/978-1-5225-7775-1.ch004, DOI 10.4018/978-1-5225-7775-1.CH004]
   Breisinger C., 2020, MENA Policy Note 03, DOI [10.2499/p15738coll2.133552, DOI 10.2499/P15738COLL2.133552]
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   CEOBS (Conflict and Environment Observatory), 2021, GROUNDWATER DEPLETIO
   Christoplos I., 2010, Mobilizing the potential of rural and agricultural extension
   Davies M., 2009, Promoting Pro-Poor Growth: Social Protection (OECD Report)
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Deutsch CA, 2018, SCIENCE, V361, P916, DOI 10.1126/science.aat3466
   FAO, 2024, Agrometeorological Early Warning Bulletin: Early warning: Risk of flash floods increasing due to enhanced rain
   FAO IFAD UNICEF WFP & WHO, 2018, Climate-smart agriculture training manual - A reference manual for agricultural extension workers
   FAOSTAT, 2021, FAO food and agriculture data
   Fevari E., 2021, The 2020 food security crisis in Yemen
   Giovetti O., 2024, The crisis in Yemen, explained five things you need to know in 2024
   Habib-ur-Rahman M, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.925548
   Haigh T, 2015, WEATHER CLIM SOC, V7, P83, DOI 10.1175/WCAS-D-14-00015.1
   Homaid M., 2023, Communities bring life back to lands destroyed by the impacts of climate change
   Integrated Food Insecurity Phase Classification (IPC), 2022, Yemen: Food security & nutrition snapshot
   Integrated Food Insecurity Phase Classification (IPC), 2024, Yemen: Acute food insecurity projection update October 2023 - February 2024. IPC. Yemen: Acute Food Insecurity Projection Update October 2023 - February 2024 | IPC - Integrated Food Security Phase Classification
   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]
   International Committee of the Red Cross (ICRC), 2023, Making adaptation work: Addressing the compounding impacts of climate change, environmental degradation, and conflict in the Near and Middle East
   International Finance Corporation (IFC), 2021, In Yemen, solar power has become a lifeline
   International Labour Organization (ILO), 2016, Yemen damage and needs assessment: Crisis impact on employment and labour market
   Iwuchukwu JC, 2012, J AGRIC EXT, V16, P104, DOI 10.4314/jae.v16i2.9
   Karimi V, 2018, J INTEGR AGR, V17, P1, DOI 10.1016/S2095-3119(17)61794-5
   Khalid S. M. N., 2019, Agricultural Extension Manual
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   MAI, 2021, Annual statistics book
   Makuvaro V, 2018, J ARID ENVIRON, V152, P75, DOI 10.1016/j.jaridenv.2018.01.016
   Maponya P., 2013, J AGR EXTENSION RURA, V5, P137, DOI DOI 10.5897/JAERD12.117
   McCarthy N., 2022, IFAD Research Series, V88
   [Metz B. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Mulhern O., 2021, Mapping the shocking extent of desertification
   Mundy M., 2018, reliefweb
   Mundy M., 2017, WAR YEMEN ITS AGR SE
   Oakley P., 1985, Guide to extension training
   Ogunlade I., 2014, Ethiopian Journal of Environmental Studies and Management, V7, P96, DOI 10.4314/ejesm.v7i1.12
   Pearce F., 2024, Yale Environment, V360
   Philip K. A., 2024, CGD Working Paper 681
   Price R. A., 2022, K4D Helpdesk Report 1168, DOI [10.19088/K4D.2022.096, DOI 10.19088/K4D.2022.096]
   Red Cross Red Crescent Climate Centre (RCRCCC), 2024, Climate fact sheet 2024 - Yemen
   Rouabhi A, 2019, J AGRIC ENVIRON INT, V113, P79, DOI 10.12895/jaeid.20191.928
   Ruijs A., 2011, Social Development Working Paper, No. 124
   Schulman S, 2021, RUSI J, V166, P82, DOI 10.1080/03071847.2021.1922196
   Shah T., 2012, IWMI-Tata Water Policy Research Highlight
   Tamdeen Youth Foundation & Oxfam, 2022, A research study on climate changes and local preparedness in the districts of Al-Ma'afer, Taiz Governorate, Yemen
   Thiombiano B. A., 2018, African Journal of Agricultural Research, V13, P294, DOI 10.5897/ajar2017.12939
   Thomas E., 2022, Working paper 2
   Turyasingura Benson, 2023, Turkish Journal of Agriculture - Food Science and Technology, V11, P1195, DOI 10.24925/turjaf.v11i6.1195-1199.5591
   United Nations Development Programme (UNDP), 2014, Prospects of solar energy in Yemen
   United Nations Development Programme (UNDP), 2023, The impact of climate change on human development in Yemen
   United Nations Development Programme (UNDP), 2024, Building resilience
   United Nations High Commissioner for Refugees (UNHCR), 2024, Yemen crisis explained
   United Nations (UN), 2022, DP/DCP/YEM/3
   United Nations (UN), 2019, Humanitarian crisis in Yemen remains the worst in the world, warns UN
   United States Agency for International Development (USAID), Climate change risk profile -Yemen
   van den Ban A.W., 1996, AGR EXTENSION
   Walthall CL., 2012, Climate change and agriculture in the united states: Effects and adaptation
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wilson K. R., 2023, Advancements in Agricultural Development, V4, P24, DOI [10.37433/aad.v4i4.377, DOI 10.37433/AAD.V4I4.377]
   World Bank, 2023, Climate risk country profile: Yemen Report
   World Bank, 2010, Report No. 54196-YE
   World Food Program (WFP), 2023, Yemen situation report #4
   World Food Program (WFP), 2023, Yemen emergency
   Xinhua, 2023, Farmers reel from drought as climate change takes toll in war-torn Yemen
   Yemen Family Care Association (YFCA), 2023, Climate change impacts on Yemen and adaptation strategies
   Yuan XN, 2024, AGRONOMY-BASEL, V14, DOI 10.3390/agronomy14071360
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 80
TC 0
Z9 0
U1 1
U2 1
PU BRANDON UNIV, RURAL DEV DEPT
PI BRANDON
PA 270 18TH ST, BRANDON, MB R7A 6A9, CANADA
SN 1712-8277
J9 J RURAL COMMUNITY D
JI J. Rural Community Dev.
PY 2024
VL 19
IS 3
BP 238
EP 264
PG 27
WC Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Development Studies
GA G5Z7T
UT WOS:001317423300011
DA 2025-01-10
ER

PT J
AU Halbherr, L
   Maat, H
   Talsma, T
   Hutjes, R
AF Halbherr, Lucia
   Maat, Harro
   Talsma, Tiffany
   Hutjes, Ronald
TI Mainstreaming Climate Change Adaptation into Rural Development Plans in
   Vietnam-How to Build Resilience at the Interface of Policy and Practice
SO AGRONOMY-BASEL
LA English
DT Article
DE climate change adaptation; resilience; adaptive capacity; mainstreaming;
   climate-smart agriculture; climate-smart villages
ID AGRICULTURE
AB The interconnectedness between climate change and development has generated an increasing interest amongst development organisations to integrate adaptation into government rural development plans in a way that effectively increases resilience at a local level. However, the nature of climate change resilience is widely debated in the literature, and there is a knowledge gap regarding the best way to address adaptation at the interface with development objectives as part of mainstreaming. This paper aims to address this knowledge gap via a case study of a community-based, Climate-Smart Agriculture (CSA) project in Vietnam. A case study approach was applied with fieldwork at one project site, complemented by semi-structured interviews with government stakeholders, key experts, and project leaders of related projects. The analysis identifies five key factors that enhance rural resilience in a smallholder agricultural context: (i) engaging local governments as partners, (ii) considering broader landscape issues such as markets, (iii) providing farmers with support to facilitate adoption of CSA practices, (iv) fostering community capacity building, and (v) promoting adaptive management and scenario planning to deal with uncertainty. The paper concludes that resilience is multidimensional and not solely in line with any one of the approaches dominant in the literature.
C1 [Halbherr, Lucia; Hutjes, Ronald] Wageningen Univ, Dept Environm Sci, Water Syst & Global Change Grp, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
   [Maat, Harro] Wageningen Univ, Dept Social Sci, Knowledge Technol & Innovat Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
   [Talsma, Tiffany] Int Ctr Trop Agr CIAT, Hanoi, Vietnam.
C3 Wageningen University & Research; Wageningen University & Research;
   Alliance; International Center for Tropical Agriculture - CIAT
RP Halbherr, L (corresponding author), Wageningen Univ, Dept Environm Sci, Water Syst & Global Change Grp, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
EM lucia.halbherr@wur.nl; harro.maat@wur.nl; t.talsma@cgiar.org;
   ronald.hutjes@wur.nl
RI Maat, Harro/D-2142-2012
OI Maat, Harro/0000-0001-7338-7910
FU CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS)
FX The first author received a stipend for data collection in Vietnam from
   the CGIAR Research Program on Climate Change, Agriculture and Food
   Security (CCAFS).
CR Adelman S, 2013, J HUM RIGHTS ENVIRON, V4, P6, DOI 10.4337/jhre.2013.01.01
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Aggarwal P., 2013, Climate-Smart Villages: a community approach to sustainable agricultural development
   Aggarwal PK, 2018, ECOL SOC, V23, DOI 10.5751/ES-09844-230114
   Allen CR, 2011, J ENVIRON MANAGE, V92, P1379, DOI 10.1016/j.jenvman.2010.10.063
   [Anonymous], 2013, MODULE 7 CLIMATE SMA
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Ayers JM, 2009, DEV POLICY REV, V27, P675, DOI 10.1111/j.1467-7679.2009.00465.x
   Berkes F., 2008, NAVIGATING SOCIAL EC
   Boyd E, 2009, DEV POLICY REV, V27, P659, DOI 10.1111/j.1467-7679.2009.00464.x
   BROOKS N, 2008, POLICY FORUM INT DEV
   Cannon T., 1994, Disasters, Development and Environment
   Dasgupta P., 2014, RURAL AREAS
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Dougill AJ, 2017, J ENVIRON MANAGE, V195, P25, DOI 10.1016/j.jenvman.2016.09.076
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Heijmans A., 2009, 20 AON BENF UCL HAZ, P3
   Hiu D.T., 2014, VILLAGE BASELINE STU
   Holling C.S., 1978, Adaptive environmental assessment and management
   Hounkonnou D, 2012, AGR SYST, V108, P74, DOI 10.1016/j.agsy.2012.01.007
   Huq S, 2004, CLIM POLICY, V4, P25
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kpadonou RAB, 2017, LAND USE POLICY, V61, P196, DOI 10.1016/j.landusepol.2016.10.050
   Mbow C., 2019, Climate Change and Land: An IPCC Special Report
   Mohan G., 2002, PARTICIPATORY DEV CO, P49
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Rosenzweig C, 2020, NAT FOOD, V1, P94, DOI 10.1038/s43016-020-0031-z
   Schipper L., 2007, Working Papers - Tyndall Centre for Climate Change Research
   Scoville-Simonds M., 2017, INT DEV POLICY REV I, V7, DOI [https://doi.org/10.4000/poldev.2243, DOI 10.4000/POLDEV.2243]
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Sebastian L., 2019, 8 GUIDE STEPS SETTIN
   Shames S., 2016, Agriculture Food Security, V5, pNP, DOI DOI 10.1186/S40066-016-0060-X
   Smucker TA, 2015, GEOFORUM, V59, P39, DOI 10.1016/j.geoforum.2014.11.018
   Totin E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061990
   Tschakert P, 2010, ECOL SOC, V15
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 46
TC 2
Z9 2
U1 5
U2 20
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 2021
VL 11
IS 10
AR 1926
DI 10.3390/agronomy11101926
PG 18
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA WO8KV
UT WOS:000712697200001
OA gold
DA 2025-01-10
ER

PT J
AU Quintana, ACE
   Basurto, X
AF Quintana, Anastasia C. E.
   Basurto, Xavier
TI Community-based conservation strategies to end open access: The case of
   Fish Refuges in Mexico
SO CONSERVATION SCIENCE AND PRACTICE
LA English
DT Article
DE climate change adaptation; commons; governance; institution; marine
   protected area; marine reserve; Mexico; property rights; small-scale
   fisheries
ID NATURAL-RESOURCE MANAGEMENT; PROPERTY-RIGHTS; PROTECTED AREAS;
   FRAMEWORK; REEF; DECENTRALIZATION; SHORTCOMINGS; BIODIVERSITY;
   COOPERATION; PROGRESS
AB Secure property rights are often seen as a precondition of incentives for long-term sustainable use by communities dependent on natural resources. Securing formal property rights can be challenging in coastal small-scale fisheries, which often operate under open access conditions. We argue that insecure, informal rights can offer one pathway for property-rights regime change, and may also provide greater flexibility for developing sustainable fishing practices compatible with climate change adaptation, among other policy-relevant outcomes. The process of establishing short-term but renewable area-based conservation tools, such as the Fish Refuges of Baja California Sur, Mexico, offers the opportunity to examine how community-based strategies can generate incentives for conservation despite the lack of secure property rights. Using in-depth qualitative methods, socioeconomic surveys, and ecological data from 2009 to 2019, we studied the process of engagement among fishers, civil society, and government. We focused on understanding the emerging transition from a scenario of open access and limited withdrawal property rights, toward locals' attaining of insecuredefactomanagement and exclusion property rights and longer-term visions of resource use and conservation. Altogether, this case illustrates the potential and limitations of Fish Refuges as an area-based fisheries and conservation tool.
C1 [Quintana, Anastasia C. E.; Basurto, Xavier] Duke Univ, Marine Lab, 135 Duke Marine Lab Rd, Beaufort, NC 28512 USA.
C3 Duke University
RP Quintana, ACE (corresponding author), Duke Univ, Marine Lab, 135 Duke Marine Lab Rd, Beaufort, NC 28512 USA.
EM anastasia.quintana@duke.edu
OI Basurto, Xavier/0000-0002-5321-3654
FU Dynamics of Coupled Natural and Human Systems Program, National Science
   Foundation [1632648]; Direct For Biological Sciences; Division Of
   Environmental Biology [1632648] Funding Source: National Science
   Foundation
FX Dynamics of Coupled Natural and Human Systems Program, National Science
   Foundation, Grant/Award Number: 1632648
CR Agrawal A, 2001, POLIT SOC, V29, P485, DOI 10.1177/0032329201029004002
   [Anonymous], 2006, AGR FISH POL MEX REC
   [Anonymous], 2005, Understanding institutional diversity
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Bartlett CY, 2009, CONSERV BIOL, V23, P1475, DOI 10.1111/j.1523-1739.2009.01293.x
   Basurto X., 2020, Making commons dynamic: Understanding change through commonisation and decommonisation
   Bergseth BJ, 2015, FISH FISH, V16, P240, DOI 10.1111/faf.12051
   Berkes F, 2007, P NATL ACAD SCI USA, V104, P15188, DOI 10.1073/pnas.0702098104
   Blaikie P, 2006, WORLD DEV, V34, P1942, DOI 10.1016/j.worlddev.2005.11.023
   Charmaz K., 2014, CONSTRUCTING GROUNDE
   Charnley S, 2017, ENVIRON SCI POLICY, V73, P80, DOI 10.1016/j.envsci.2017.04.002
   Cinner J, 2006, ECOL SOC, V11
   COBI, 2020, Mexican fishing communities resilience to Covid-19 economic and social impacts
   Cohen PJ, 2013, GLOBAL ENVIRON CHANG, V23, P1702, DOI 10.1016/j.gloenvcha.2013.08.010
   Commons J.R., 1968, LEGAL FDN CAPITALISM
   CONAPESCA, 2017, CON ZON REF PESQ MEX
   Costello CJ, 2008, J ENVIRON ECON MANAG, V55, P20, DOI 10.1016/j.jeem.2007.09.001
   Cox M, 2010, ECOL SOC, V15
   Cudney-Bueno R, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006253
   Demsetz H, 1967, AM ECON REV, V57, P347
   Fleischman FD, 2014, INT J COMMONS, V8, P428, DOI 10.18352/ijc.416
   Fox HE, 2012, CONSERV LETT, V5, P1, DOI 10.1111/j.1755-263X.2011.00207.x
   Galik CS, 2015, LAND ECON, V91, P76, DOI 10.3368/le.91.1.76
   Gill DA, 2017, NATURE, V543, P665, DOI 10.1038/nature21708
   Govan H., 2009, SPC TRADITIONAL MARI
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Jupiter SD, 2012, CORAL REEFS, V31, P321, DOI 10.1007/s00338-012-0888-x
   Jupiter Stacy D., 2014, Pacific Conservation Biology, V20, P165
   Larson A.M., 2008, Tenure rights and beyond: Community access to forest resources in Latin America
   Larson AM, 2008, ANNU REV ENV RESOUR, V33, P213, DOI 10.1146/annurev.environ.33.020607.095522
   Leslie HM, 2015, P NATL ACAD SCI USA, V112, P5979, DOI 10.1073/pnas.1414640112
   Mascia MB, 2017, ANN NY ACAD SCI, V1399, P93, DOI 10.1111/nyas.13428
   Mascia MB, 2009, CONSERV BIOL, V23, P16, DOI 10.1111/j.1523-1739.2008.01050.x
   Mason KO, 1997, DEMOGRAPHY, V34, P443, DOI 10.2307/3038299
   Maxwell SM, 2020, SCIENCE, V367, P252, DOI 10.1126/science.aaz9327
   McCarthy JF, 2000, DEV CHANGE, V31, P91, DOI 10.1111/1467-7660.00148
   Meinzen-Dick R., 1999, Collective Action, Property Rights, and Devolution of Natural Resource Management: A Conceptual Framework. Collective Action, Property Rights and Devolution of Natural Resource Management: Exchange of Knowledge and Implications for Policy
   Molina-Hernández AL, 2018, OCEAN COAST MANAGE, V161, P127, DOI 10.1016/j.ocecoaman.2018.04.030
   Moritz M, 2018, P NATL ACAD SCI USA, V115, P12859, DOI 10.1073/pnas.1812028115
   Niparaja, 2017, RES BIOL EC ZON REF
   Niparaja, 2009, Conociendo el Corredor: Una descripcion de las comunidades pesqueras, su problematica y posibles soluciones
   Niparaja Corredor, 2016, CORR SAN COSM PUNT C
   Ostrom E, 2003, J THEOR POLIT, V15, P239, DOI 10.1177/0951692803015003002
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Ostrom E., 2002, The Drama of the Commons, DOI DOI 10.17226/10287
   Ostrom Elinor., 2000, SWISS POLIT SCI REV, V6, P29, DOI [DOI 10.1002/J.1662-6370.2000.TB00285.X, 10.1002/j.1662-6370.2000.tb00285.x]
   Pacheco P, 2012, SOC NATUR RESOUR, V25, P556, DOI 10.1080/08941920.2011.574314
   Pendleton LH, 2018, ICES J MAR SCI, V75, P1156, DOI 10.1093/icesjms/fsx154
   Poteete AR, 2010, WORKING TOGETHER: COLLECTIVE ACTION, THE COMMONS, AND MULTIPLE METHODS IN PRACTICE, P3
   Querou N., 2017, Spatial concessions with limited tenure
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Roberts CM, 2017, P NATL ACAD SCI USA, V114, P6167, DOI 10.1073/pnas.1701262114
   Ruttan LM, 1998, HUM ECOL, V26, P43, DOI 10.1023/A:1018744816814
   Sáenz-Arroyo A, 2005, P ROY SOC B-BIOL SCI, V272, P1957, DOI 10.1098/rspb.2005.3175
   Sala E, 2004, FISHERIES, V29, P19, DOI 10.1577/1548-8446(2004)29[19:FDCFWI]2.0.CO;2
   SCHLAGER E, 1992, LAND ECON, V68, P249, DOI 10.2307/3146375
   Schlager E, 2002, AM BEHAV SCI, V45, P801, DOI 10.1177/0002764202045005005
   Shukla P.R., 2019, Special Report on climate change and land
   Sumaila UR., 2017, Climate change, marine ecosystems and global fisheries Building a climate resilient economy and society: Challenges and opportunities
   Tittensor DP, 2014, SCIENCE, V346, P241, DOI 10.1126/science.1257484
   Villaseñor-Derbez JC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221660
   West P, 2006, ANNU REV ANTHROPOL, V35, P251, DOI 10.1146/annurev.anthro.35.081705.123308
   Williams ID, 2006, MAR ECOL PROG SER, V310, P139, DOI 10.3354/meps310139
NR 63
TC 20
Z9 20
U1 1
U2 15
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 JAN
PY 2021
VL 3
IS 1
SI SI
AR e283
DI 10.1111/csp2.283
EA SEP 2020
PG 14
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation
GA PZ4RA
UT WOS:000572440200001
OA gold
DA 2025-01-10
ER

PT J
AU Dang, KK
   Do, TH
   Le, THL
   Le, TTH
   Pham, TD
AF Kim Dang, Khoi
   Do, Thiep Huy
   Le, Thi Ha Lien
   Le, Thi Thu Hang
   Pham, Thinh Duc
TI Impacts of farmers' adaptation to drought and salinity intrusion on rice
   yield in Vietnam's Mekong Delta
SO JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES
LA English
DT Article
DE Adaptation; Climate change; Endogenous switching model; Farmer
   livelihood; Vietnamese Mekong river delta
ID CLIMATE-CHANGE ADAPTATION; TRANSFORMATIONAL ADAPTATION; DECISION-MAKING;
   AQUACULTURE; ADOPTION; SYSTEMS; DIVERSIFICATION; DETERMINANTS;
   AGRICULTURE
AB Purpose The Vietnamese Mekong River Delta (VMD) is one of the most affected deltas by climate change in the world. Several studies have investigated factors influencing farmers' climate change adaptation behaviors in the region; however, little is known about the effectiveness of such measures. This paper examines the determinants of adaptation strategies among VMD rice farmers and assesses the impacts of such practices on rice yield. Design/methodology/approach Endogenous switching regressions were employed using a survey data of 300 rice-producing households in An Giang and Tra Vinh provinces in 2016. Findings The results show that farmers receiving early disaster warnings are more likely to adopt adaptation measures to climate change. If nonadaptors had chosen to respond, their rice yield would have increased by 0.932 tons/ha/season. Research limitations/implications The data sample is small and collected from two provinces in the VMD only; therefore, the results may be specific for the study sites. However, future research can adopt the proposed method for other regions. Originality/value The study estimates the production impacts of farmers' decisions on whether or not to adapt to extreme climate events. The proposed approach allows for capturing both observed and unobserved behaviors.
C1 [Kim Dang, Khoi; Do, Thiep Huy; Pham, Thinh Duc] Vietnam Natl Univ Agr, Agr Market & Inst Res Inst, Hanoi, Vietnam.
   [Kim Dang, Khoi] Australian Inst Hlth & Welf, Canberra, ACT, Australia.
   [Le, Thi Ha Lien] Inst Policy & Strategy Agr & Rural Dev, Ctr Agr Policy, Hanoi, Vietnam.
   [Le, Thi Thu Hang] RMIT Univ, Sch Econ Finance & Mkt, Melbourne, Vic, Australia.
C3 Vietnam National University of Agriculture (VNUA); Royal Melbourne
   Institute of Technology (RMIT)
RP Dang, KK (corresponding author), Vietnam Natl Univ Agr, Agr Market & Inst Res Inst, Hanoi, Vietnam.; Dang, KK (corresponding author), Australian Inst Hlth & Welf, Canberra, ACT, Australia.
EM khoidk@gmail.com; thiepdo.ami@vnua.edu.vn; lien.le@cap.gov.vn;
   thi.thu.hang.le@rmit.edu.au; thinhpham.ami@vnua.edu.vn
RI Le, Thì Ha Lien/JXM-1025-2024; Dang, Khoi/JNS-9650-2023; Thinh,
   Pham/E-9307-2018
OI Khoi, Dang Kim/0000-0003-1668-7014; Le, Thi Thu Hang/0000-0001-9614-1198
FU Australian Centre for International Agricultural Research (ACIAR)
   [ADP/2011/039]
FX The research activities are supported by the project "ACIAR Project
   ADP/2011/039: Assessing Farmer Responses to Climate Change - Adjustment
   Policy Options," funded by the Australian Centre for International
   Agricultural Research (ACIAR).
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Bosma R, 2011, SOFT COMPUT, V15, P295, DOI 10.1007/s00500-010-0618-7
   Bosma RH, 2012, REV AQUACULT, V4, P178, DOI 10.1111/j.1753-5131.2012.01069.x
   Brown PR, 2018, INT J AGR SUSTAIN, V16, P255, DOI 10.1080/14735903.2018.1472858
   Cuong VH, 2019, HUM ECOL, V47, P681, DOI 10.1007/s10745-019-00101-y
   Day JW, 2016, ESTUAR COAST SHELF S, V183, P275, DOI 10.1016/j.ecss.2016.06.018
   Tung DT, 2017, OUTLOOK AGR, V46, P3, DOI 10.1177/0030727016689512
   Tran DD, 2018, AGR WATER MANAGE, V206, P187, DOI 10.1016/j.agwat.2018.04.039
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Tran H, 2018, LAND USE POLICY, V72, P227, DOI 10.1016/j.landusepol.2017.12.009
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Howden M., 2010, Managing climate change: papers from the GREENHOUSE 2009 Conference, P101
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Huynh V.T., 2016, SITUATION ADAPTATION
   Jackson D, 2012, CSH PERSPECT BIOL, V4, DOI 10.1101/cshperspect.a010389
   Joffre OM, 2015, OCEAN COAST MANAGE, V114, P53, DOI 10.1016/j.ocecoaman.2015.06.015
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kumar G, 2018, J WORLD AQUACULT SOC, V49, P447, DOI 10.1111/jwas.12514
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Nguyen MT, 2019, ENVIRON SCI POLICY, V92, P331, DOI 10.1016/j.envsci.2018.10.016
   Ministry of Agricultural and Rural Development, 2016, REP SIT DROUGH SEAW
   Nguyen Huu Tri Nguyen Huu Tri, 2019, Kasetsart Journal of Social Sciences, V40, P427
   Hoan NX, 2019, J ENVIRON PLANN MAN, V62, P1619, DOI 10.1080/09640568.2019.1631147
   Ngoc PTA, 2016, AQUACULTURE, V460, P90, DOI 10.1016/j.aquaculture.2016.03.055
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Ho TT, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050099
   Thanh Tam Ho Thanh Tam Ho, 2018, International Journal of Food and Agricultural Economics, V6, P11
   Luu TA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102993
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tran D.N., 2016, J EC DEV, V23, P143
   Nguyen TT, 2017, WORLD DEV, V89, P199, DOI 10.1016/j.worlddev.2016.08.010
   2019, CLIM RISK MANAGE POL, P1
NR 33
TC 10
Z9 11
U1 2
U2 18
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 27
EP 41
DI 10.1108/JADEE-08-2019-0132
EA SEP 2020
PG 15
WC Agricultural Economics & Policy; Economics
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Business & Economics
GA QK1HV
UT WOS:000570869600001
DA 2025-01-10
ER

PT J
AU Zehra, D
   Mbatha, S
   Campos, LC
   Queface, A
   Beleza, A
   Cavoli, C
   Achuthan, K
   Parikh, P
AF Zehra, Dua
   Mbatha, Sandile
   Campos, Luiza C.
   Queface, Antonio
   Beleza, Antonio
   Cavoli, Clemence
   Achuthan, Kamalasudhan
   Parikh, Priti
TI Rapid flood risk assessment of informal urban settlements in Maputo,
   Mozambique: The case of Maxaquene A
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Flooding; Risk; Drainage; Sanitation; Solid waste; Climate change;
   Informal settlement; Maputo
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY
AB Cities across the Global South are facing huge challenges associated with rapid urbanisation, lack of infrastructure services and climate change, including frequent storms and recurrent floods that inundate large areas of their urban landscape. Often, the worst affected groups are those living in low-income settlements located in floodplains of the city. Maxaquene A is an example of such a settlement in Maputo, Mozambique, a country with a strong history of storms and floods due to its geographical location. This paper describes a rapid flood risk assessment conducted by the authors, in Maxaquene A. The assessment obtained both community and external stakeholder perceptions of challenges in the neighbourhood, accompanied by a description of how floods have affected infrastructure such as drainage and sanitation, services such as pit emptying and solid waste collection, and localised infrastructure solutions developed by the community as a coping mechanism. The assessment highlighted the need for collaboration with community members to co-develop appropriate flood risk management strategies and infrastructure solutions. This work will pave the way for greater in-depth research with residents of Maxaquene A, neighbouring settlements in Maputo and other informal settlements in the Global South, to drive change in climate change adaptation across the built environment.
C1 [Zehra, Dua; Campos, Luiza C.; Cavoli, Clemence; Achuthan, Kamalasudhan; Parikh, Priti] UCL, Environm & Geomat Engn Dept, Chadwick Bldg London, London WC1E 6BT, England.
   [Mbatha, Sandile] Univ Stuttgart, Fac Architecture & Planning, Stuttgart, Germany.
   [Queface, Antonio] Eduardo Mondlane Univ, Maputo, Mozambique.
   [Beleza, Antonio] Natl Inst Disaster Management, Maputo, Mozambique.
C3 University of London; University College London; University of
   Stuttgart; Eduardo Mondlane University
RP Parikh, P (corresponding author), UCL, Environm & Geomat Engn Dept, Chadwick Bldg London, London WC1E 6BT, England.
EM dua.zehra.15@alumni.ucl.ac.uk; sandile.mbatha@gmail.com;
   luiza.campos@ucl.ac.uk; antonio.queface@gmail.com;
   antonio.beleza@gmail.com; clemence.cavoli@ucl.ac.uk;
   k.achuthan@ucl.ac.uk; priti.parikh@ucl.ac.uk
RI Campos, Luiza/M-3740-2018
OI parikh, priti/0000-0002-1086-4190; Mbatha, Sandile/0000-0002-4894-2705;
   Cavoli, Clemence/0000-0002-8313-0323
CR Ademola A, 2016, INT J DISAST RISK RE, V17, P1, DOI 10.1016/j.ijdrr.2016.03.006
   [Anonymous], 2016, SLUMS ALM 2015 16 TR
   [Anonymous], 2006, UNJ WAT
   [Anonymous], 2009, J PUBLIC HLTH EPIDEM
   [Anonymous], UNDERSTANDING PATTER
   [Anonymous], 2013, PLOS CURR
   [Anonymous], 2012, RESPONDING CLIMATE C
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Azuma K, 2014, INT J ENVIRON HEAL R, V24, P158, DOI 10.1080/09603123.2013.800964
   Bouchard B., 2007, THESIS
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Broto VC, 2013, LOCAL ENVIRON, V18, P678, DOI 10.1080/13549839.2013.801573
   Campos LC, 2015, ENVIRON URBAN, V27, P371, DOI 10.1177/0956247815595784
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Degert I, 2016, CITIES, V56, P63, DOI 10.1016/j.cities.2016.03.002
   Fairhurst L., 2011, BASELINE STUDY
   Few R., 2003, PROG DEV STUD, V3, P43, DOI [DOI 10.1191/1464993403PS049RA, 10.1191/1464993403ps049ra]
   Fitchett A., 2014, Urban Forum, DOI [DOI 10.1007/S12132-013-9215-Z, 10.1007/s12132-013-9215-z]
   Grahn T, 2017, INT J DISAST RISK RE, V21, P367, DOI 10.1016/j.ijdrr.2017.01.016
   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
   Kayaga S., 2015, International Journal of Environment and Waste Management, V16, P112, DOI 10.1504/IJEWM.2015.071287
   Kemp L., 2011, SUBSAHARAN AFRICAN C
   Kita SM, 2017, INT J DISAST RISK RE, V22, P158, DOI 10.1016/j.ijdrr.2017.03.010
   Kruks-Wisner G, 2006, THESIS
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Mulligan J, 2017, P I CIVIL ENG-ENG SU, V170, P268, DOI 10.1680/jensu.15.00060
   Nchito WS, 2007, ENVIRON URBAN, V19, P539, DOI 10.1177/0956247807082835
   Office for the Coordination of Humanitarian Affairs (OCHA), 2001, WORKSH 26 27 JUL 200
   Padawangi R, 2016, SUSTAIN CITIES SOC, V20, P147, DOI 10.1016/j.scs.2015.09.001
   Palalane J., 2010, COMP ANAL SUBSURFACE
   Parikh P., 2012, P ICE URB DES PLANN, V166, P101
   Royo MG, 2018, HABITAT INT, V79, P30, DOI 10.1016/j.habitatint.2018.07.009
   Sakijege T, 2012, JAMBA-J DISASTER RIS, V4, DOI 10.4102/jamba.v4i1.46
   UN-Habitat, 2010, CLIM CHANG ASS MAP M
   UNECA, 2015, Assessment report on mainstreaming and implementing disaster risk reduction measures in Malawi
   United Nations Development Programme (UNDP), 2010, DIS RISK ASS MOZ COM
   WIN-SA, 2012, 2 INT FAEC SLUDG MAN, P57
   Woolf S, 2016, INT J DISAST RISK RE, V19, P280, DOI 10.1016/j.ijdrr.2016.08.003
NR 38
TC 19
Z9 19
U1 1
U2 36
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD NOV
PY 2019
VL 40
AR 101270
DI 10.1016/j.ijdrr.2019.101270
PG 12
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA JA4UM
UT WOS:000487832700026
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Ojomo, E
   Bartram, J
AF Ojomo, Edema
   Bartram, Jamie
TI Adapting drinking-water systems to coastal climate change: evidence from
   Viet Nam and the Philippines
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Drinking-water; Adaptation; Barriers; Low-income
ID CHANGE ADAPTATION; BARRIERS; MANAGEMENT; IMPACTS
AB Coastal areas will increasingly experience adverse climate hazards such as coastal flooding and severe storms as a result of climate change. These hazards adversely affect drinking-water systems and thereby reduce access to safe drinking-water. Effective adaptation implementation minimizes the damaging impacts of these hazards. However, research on the enablers of and barriers to effective adaptation in low-income countries is lacking. This study maps enablers and barriers to climate change adaptation of water systems in coastal low-income countries using evidence from Viet Nam and the Philippines, countries which experience frequent extreme climate events. Interviews were carried out with staff from 29 water utilities and government agencies. A systematic framework for diagnosing barriers to climate change adaptation was used to analyze the responses. Five factors were identified as relevant to effective adaptation: partnerships; financial resources; human and technical resources; leadership and political will; and awareness of climate change. The factors identified were related to all the elements of the framework-actors, system of concern, and context-and were relevant to the three phases of the adaptation process (understanding the problem, planning the adaptation, and managing the implementation). Our findings can assist water system managers in diagnosing barriers to effective adaptation that may exist and identifying relevant partnerships and resources that will aid in overcoming these barriers.
C1 [Ojomo, Edema; Bartram, Jamie] Univ North Carolina Chapel Hill, Water Inst, Gillings Sch Global Publ Hlth, Rosenau Hall 144,135 Dauer Dr,CB 7431, Chapel Hill, NC 27599 USA.
C3 University of North Carolina School of Medicine; University of North
   Carolina; University of North Carolina Chapel Hill
RP Bartram, J (corresponding author), Univ North Carolina Chapel Hill, Water Inst, Gillings Sch Global Publ Hlth, Rosenau Hall 144,135 Dauer Dr,CB 7431, Chapel Hill, NC 27599 USA.
EM jbartram@email.unc.edu
OI Bartram, Jamie/0000-0002-6542-6315
FU Climate Change Resilient Development project, United States Agency for
   International Development (USAID) [CCRDACD0006]
FX This study was made possible through support of the Climate Change
   Resilient Development project, United States Agency for International
   Development (USAID)-Grant Number CCRDACD0006. The opinions expressed
   herein are those of the authors and do not necessarily reflect the views
   of USAID. We thank all interviewees; this project was possible because
   of their willingness to share their experience and knowledge with us. We
   also thank everyone who assisted with the fieldwork logistics.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2005, ECOL SOC, V10
   Anderson CherylL., 2012, Analysis of Integrating Disaster Risk Reduction and Climate Change Adaptation in the US Pacific Islands and Freely Associated States
   [Anonymous], 2009, COSTS DEV COUNTR AD
   [Anonymous], 2015, PROGR SANITATION DRI
   [Anonymous], 2015, Countries and Economies
   [Anonymous], 2004, Evaluation of the costs and benefits of water and sanitation improvements at the global level/Guy Hutton and Laurence Haller
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Antwi-Agyei P., 2013, 154 CTR CLIM CHANG E
   Antwi-Agyei P, 2012, APPL GEOGR, V32, P324, DOI 10.1016/j.apgeog.2011.06.010
   Archie KM, 2014, MITIG ADAPT STRAT GL, V19, P569, DOI 10.1007/s11027-013-9449-z
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bapna M, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P181
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Biesbroek G.R., 2011, CLIM LAW, V2, P181
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   EM-DAT, 2014, DIS PROF
   EPA, 2015, COAST OC WAT
   EPA, 2012, AD STRAT GUID WAT UT
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Gero A., 2012, Cross-scale barriers to climate change adaptation in local government
   Glavocic B.C., 2015, Climate change and the coast: Building resilient communities, P67
   Hamin E., 2015, Handbook of Climate Adaptation, P839
   Howard G, 2010, J WATER CLIM CHANGE, V1, P2, DOI 10.2166/wcc.2010.205
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jantarasami LC, 2010, ECOL SOC, V15
   Kahan D, 2010, NATURE, V463, P296, DOI 10.1038/463296a
   Kahan Dan., 2006, Yale Law Policy Review, V24, P147
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Lawrence J, 2015, LOCAL ENVIRON, V20, P298, DOI 10.1080/13549839.2013.839643
   Marshall NA, 2014, ECOL SOC, V19, DOI [10.5751/ES-06440-19021, 10.5751/ES-06440-190214]
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Monse B, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-256
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moser SC, 2008, MITIG ADAPT STRAT GL, V13, P643, DOI 10.1007/s11027-007-9132-3
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Prüss-Ustün A, 2014, TROP MED INT HEALTH, V19, P894, DOI 10.1111/tmi.12329
   Sorenson SB, 2011, SOC SCI MED, V72, P1522, DOI 10.1016/j.socscimed.2011.03.010
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   The Nature Conservacy, 2009, NOEL KEMPFF MERC CLI
   UNDP, 2011, CLIM CHANG AD DEV
   UNEP UN-HABITAT, 2005, COAST ZON POLL CIT N
   UNICEF, 2012, CLIM CHANG ENV ED
   United Nations Educational Scientific and Cultural Organisation (UNESCO)., 2012, ED SECT RESP CLIM CH
   USGS, 1999, AN LAND US CHANG URB
   Watts N, 2014, TECHN BRIEF WHO C HL
   WHO, 2009, RES WAT SUPPL SAN FA
NR 55
TC 4
Z9 5
U1 2
U2 25
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2016
VL 16
IS 8
SI SI
BP 2409
EP 2418
DI 10.1007/s10113-016-0965-8
PG 10
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ED6IK
UT WOS:000388959100021
DA 2025-01-10
ER

PT J
AU Ndudzo, A
   Makuvise, AS
   Moyo, S
   Bobo, ED
AF Ndudzo, Abigarl
   Makuvise, Angela Sibanda
   Moyo, Sizo
   Bobo, Enetia Disberia
TI CRISPR-Cas9 genome editing in crop breeding for climate change
   resilience: Implications for smallholder farmers in Africa
SO JOURNAL OF AGRICULTURE AND FOOD RESEARCH
LA English
DT Article
DE CRISPR-Cas9; Climate change; Climate resilient agriculture; Crop
   breeding; Smallholder farmers
ID SORGHUM-BICOLOR; STRIGOLACTONES; CRISPR/CAS9; TOOL
AB Food insecurity and malnutrition, compounded by climate change, are seriously threatening the growing African population. Unpredictable precipitation patterns and droughts are contributing to declining crop productivity. Efforts to increase agricultural productivity include adoption of crops that are resistant to climate change and engaging in climate resilient agriculture. Currently, CRISPR-Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats - associated protein) technology is being used in crop breeding practices to improve traits such as drought tolerance, nutrition and disease resistance. The aim of this review is to explore the use of CRISPR-Cas9 technology in developing climate resilient crops for mitigation of food insecurity and hunger and the attendant implications for small holder farmers in Africa. A comprehensive systematic search of peer reviewed articles in three bibliographic databases, PubMed, Web of Science and Google Scholar, was conducted to identify documents relevant to applications and implications of CRISPR-mediated genome editing in crop improvement in the African context. The literature shows that CRISPR-Cas technology has been harnessed to enhance the resilience and nutritional content of various crops, by combatting biotic and abiotic stresses. The adoption of CRISPR-assisted crop improvement in breeding strategies can help smallholder farmers in lowmiddle income countries of Africa to adapt to climate change without productivity loss. By harnessing this technology, smallholder farmers can benefit from growing climate resilient crops with improved yields and stress resistance thereby contributing to food security and sustainable agriculture on the continent.
C1 [Ndudzo, Abigarl] Lupane State Univ, Dept Crop & Soil Sci, Appl Biotechnol, Bulawayo, Zimbabwe.
   [Makuvise, Angela Sibanda] Natl Univ Sci & Technol, Dept Appl Biol & Biochem, Bulawayo, Zimbabwe.
   [Moyo, Sizo] Lupane State Univ, Dept Anim Sci & Rangeland Management, Bulawayo, Zimbabwe.
   [Bobo, Enetia Disberia] Univ Zimbabwe, Dept Biol Sci & Ecol, Harare, Zimbabwe.
   [Ndudzo, Abigarl] Jomo Kenyatta Univ Agr & Technol, Pan African Inst Basic Sci Technol & Innovat, Dept Mol Biol & Biotechnol, Juja, Kenya.
C3 National University of Science & Technology - Zimbabwe; University of
   Zimbabwe; Jomo Kenyatta University of Agriculture & Technology
RP Ndudzo, A (corresponding author), Lupane State Univ, Dept Crop & Soil Sci, Appl Biotechnol, Bulawayo, Zimbabwe.
EM andudzo@lsu.ac.zw
RI Bobo, Enetia D/KBQ-9865-2024
OI Bobo, Enetia D/0000-0002-1558-1704
CR Abdallah NA, 2022, GM CROPS FOOD, DOI 10.1080/21645698.2022.2120313
   Abudayyeh OO, 2017, NATURE, V550, P280, DOI 10.1038/nature24049
   Ahmad S, 2021, J AGR FOOD CHEM, V69, P8307, DOI 10.1021/acs.jafc.1c02653
   Ahmar S, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21072590
   Aman R, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-017-1381-1
   [Anonymous], 2021, NATURE, V597, P152, DOI 10.1038/d41586-021-02420-x
   [Anonymous], 2022, Research and development expenditure (% of GDP) - Kazakhstan
   Atukunda P, 2021, FOOD NUTR RES, V65, DOI 10.29219/fnr.v65.7686
   Ayanoglu FB, 2020, TURK J BIOL, V44, P110, DOI 10.3906/biy-1912-52
   Azizi J, 2022, ENVIRON SCI POLLUT R, V29, P40169, DOI 10.1007/s11356-022-19046-9
   Banerjee S, 2023, MOL BIOL REP, V50, P7705, DOI 10.1007/s11033-023-08660-6
   Bao AL, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1746-6
   Batungwanayo P, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02018-7
   Begna T., 2021, Int. J. Res, V7, P1, DOI [DOI 10.20431/2454-6224.0701001, 10.20431/2454-6224.0701001]
   Bellis ES, 2020, P NATL ACAD SCI USA, V117, P4243, DOI 10.1073/pnas.1908707117
   Benson T., 2020, Africas food and nutrition security situation: why are we here and how did we get here?
   Bhowmik P, 2021, GENES-BASEL, V12, DOI 10.3390/genes12091410
   Bijma Piter, 2023, Animal breeding and genetics, P99, DOI 10.1007/978-1-0716-2460-9_346
   Biswal AK, 2022, BMC PLANT BIOL, V22, DOI 10.1186/s12870-022-03932-y
   Boddupalli P, 2020, VIRUS RES, V282, DOI 10.1016/j.virusres.2020.197943
   Boluwade E., 2020, Government of Nigeria Approved National Biosafety Guideline on Gene Editing, 2021
   Bridgeland A, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0283837
   Broad Institute, 2022, Information about licensing CRISPR systems, including for clinical use
   Buchholzer M, 2023, NEW PHYTOL, V237, P12, DOI 10.1111/nph.18333
   Cai YP, 2018, PLANT BIOTECHNOL J, V16, P176, DOI 10.1111/pbi.12758
   Cai YP, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136064
   Cammarano D, 2019, EUR J AGRON, V106, P1, DOI 10.1016/j.eja.2019.03.002
   Ceasar A, 2022, MOL BIOL REP, V49, P773, DOI 10.1007/s11033-021-06975-w
   Ceasar SA, 2022, PLANTS PEOPLE PLANET, V4, P345, DOI 10.1002/ppp3.10254
   Chandra D., 2016, Food Science and Human Wellness, V5, P149
   Cheema KS, 2018, International Journal of Engineering Technology Science and Research, V5, P88
   Chele KH, 2021, METABOLITES, V11, DOI 10.3390/metabo11110724
   Cheng JY, 2023, PLANT BIOTECHNOL J, V21, P806, DOI 10.1111/pbi.13998
   Cheng JY, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms232214046
   CIMMYT (International Maize and Wheat Improvement Center), 2018, MLN Gene Editing Project
   Colley MR, 2021, J AGR SCI-CAMBRIDGE, V159, P320, DOI 10.1017/S0021859621000782
   Crispr Rowe E., 2019, Plant Breeding CRISPR in Plant Breeding
   de Wit MM, 2020, ELEMENTA-SCI ANTHROP, V8, DOI 10.1525/elementa.405
   Devi R, 2022, FRONT GENET, V13, DOI 10.3389/fgene.2022.1037091
   Dima O, 2023, TRENDS PLANT SCI, V28, P1350, DOI 10.1016/j.tplants.2023.09.014
   Dlamini PJ, 2021, PLANT STRESS, V2, DOI 10.1016/j.stress.2021.100027
   EL Sabagh A, 2021, FRONT AGRON, V3, DOI 10.3389/fagro.2021.661932
   Elkonin LA, 2023, CROP J, V11, P1411, DOI 10.1016/j.cj.2023.02.005
   Erdogan I, 2023, BIOLOGY-BASEL, V12, DOI 10.3390/biology12071037
   Gasparis S, 2019, CELLS-BASEL, V8, DOI 10.3390/cells8080782
   Giller KE, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100431
   Gobena D, 2017, P NATL ACAD SCI USA, V114, P4471, DOI 10.1073/pnas.1618965114
   Gomez MA, 2023, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1079254
   Griebel S, 2019, J CEREAL SCI, V86, P41, DOI 10.1016/j.jcs.2019.01.002
   Guarango P. M., 2022, Guidelines for determining the regulatory process of genome edited organisms and products in Kenya
   IAPPS (International Association for the Plant Protection services), 2022, Kenyan Gene Hacker Moves to Defeat Witchweed
   International Service for the Acquisition of Agri-biotech Applications (ISAAA), 2022, Striga smart sorghum for Africa project launched in Kenya and Ethiopia
   Irafasha G, 2023, PLANTS PEOPLE PLANET, DOI 10.1002/ppp3.10395
   ISAAA, 2017, Kenyan scientists Find new Striga resistance genes in wild sorghum
   Jacobs TB, 2015, BMC BIOTECHNOL, V15, DOI 10.1186/s12896-015-0131-2
   Jamil M, 2021, PLANT PHYSIOL, V185, P1339, DOI 10.1093/plphys/kiab040
   Jayaraman S, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11080718
   Ji J, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20102471
   Jiang YL, 2022, ACS AGR SCI TECHNOL, V2, P174, DOI 10.1021/acsagscitech.1c00253
   Johnmark O, 2022, VIRUSES-BASEL, V14, DOI 10.3390/v14122765
   Joseph Opoku G., 2022, Climate change: gene editing can help create resilient crops
   Juma BS, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1009860
   Kalele DN, 2021, SCI AFR, V12, DOI 10.1016/j.sciaf.2021.e00814
   Karavolias NG, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.685801
   Karembu M., 2021, GENOME EDITING AFRIC
   Keipopele O., 2023, The use of CRISPR Cas9 technology (genome editing) in food security: its protection and the benefit to sub Saharan Africa?
   Khan H, 2023, CEREAL RES COMMUN, V51, P437, DOI 10.1007/s42976-022-00293-y
   Kim D, 2018, FUNCT INTEGR GENOMIC, V18, P31, DOI 10.1007/s10142-017-0572-x
   Kimball BA, 2016, CURR OPIN PLANT BIOL, V31, P36, DOI 10.1016/j.pbi.2016.03.006
   Kumar M, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1157678
   Kumar VVS, 2020, PHYSIOL MOL BIOL PLA, V26, P1099, DOI 10.1007/s12298-020-00819-w
   Li HH, 2018, TRENDS PLANT SCI, V23, P184, DOI 10.1016/j.tplants.2018.01.007
   Li JY, 2021, PLANT BIOTECHNOL J, V19, P937, DOI 10.1111/pbi.13519
   Li YY, 2022, FRONT GENOME EDIT, V4, DOI 10.3389/fgeed.2022.987817
   Li ZS, 2015, PLANT PHYSIOL, V169, P960, DOI 10.1104/pp.15.00783
   Liu GQ, 2019, METHODS MOL BIOL, V1931, P169, DOI 10.1007/978-1-4939-9039-9_12
   Liu H, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1034215
   Liu L, 2021, NAT PLANTS, V7, P287, DOI 10.1038/s41477-021-00858-5
   Liu YH, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.848723
   Lu QSM, 2022, BMC BIOTECHNOL, V22, DOI 10.1186/s12896-022-00737-7
   Araus JL, 2018, TRENDS PLANT SCI, V23, P451, DOI 10.1016/j.tplants.2018.02.001
   Ma J, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms22083877
   Ma LL, 2021, PLANT GROWTH REGUL, V94, P115, DOI 10.1007/s10725-021-00704-w
   Mackelprang R, 2020, ANNU REV PLANT BIOL, V71, P659, DOI 10.1146/annurev-arplant-081519-035916
   Madec S., 2019, Phenotyping wheat structural traits from Millimetric Resolution RGB Imagery in field conditions
   Maina J., 2021, Kenya looks to gene editing to grow its key food crops
   Makaza W, 2023, FOOD SECUR, V15, P1127, DOI 10.1007/s12571-023-01345-9
   Maniragaba VN, 2023, BMC PUBLIC HEALTH, V23, DOI 10.1186/s12889-023-15214-9
   Mao CJ, 2020, PLANT BIOTECHNOL J, V18, P429, DOI 10.1111/pbi.13209
   Marthe F, 2018, Biotechnologies of crop improvement, cellular approaches, V1, P487
   Martínez-Fortún J, 2022, FRONT GENOME EDIT, V4, DOI 10.3389/fgeed.2022.937853
   Masehela TS, 2023, FRONT BIOENG BIOTECH, V11, DOI 10.3389/fbioe.2023.1211789
   Massel K, 2023, PLANTA, V257, DOI 10.1007/s00425-022-04038-3
   Matres JM, 2021, TRANSGENIC RES, V30, P461, DOI 10.1007/s11248-021-00259-6
   Matthews D., 2022, Access to Medicines and Vaccines
   Meeme V., 2021, Genome editing offers African researchers develop disease resistant banana varieties
   Mehta D, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1678-3
   Mekonnen TW, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11121583
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Michno JM, 2015, GM CROPS FOOD, V6, P243, DOI 10.1080/21645698.2015.1106063
   Mohajan HK., 2022, J Econ Dev Environ People, V11, P24, DOI [10.26458/jedep.v1i1.716, DOI 10.26458/JEDEP.V1I1.716]
   Mohemed N, 2018, J EXP BOT, V69, P2415, DOI 10.1093/jxb/ery041
   Mohr T, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11172259
   Mukami A, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0278717
   Nadeem MA, 2018, BIOTECHNOL BIOTEC EQ, V32, P261, DOI 10.1080/13102818.2017.1400401
   Naidoo N., 2020, The CRISPR Patent Landscape: A South African Perspective
   Nguyen HN, 2021, PLANT DIRECT, V5, DOI 10.1002/pld3.308
   Njuguna E., 2017, AFR FOCUS, V30, P66, DOI [10.21825/af.v30i2.8080, DOI 10.21825/AF.V30I2.8080]
   Ntui VO, 2020, CURR PLANT BIOL, V21, DOI 10.1016/j.cpb.2019.100128
   Odipio J, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01780
   Ogaugwu CE, 2019, TRENDS BIOTECHNOL, V37, P234, DOI 10.1016/j.tibtech.2018.07.012
   Ongu I, 2023, GM CROPS FOOD, V14, P1, DOI 10.1080/21645698.2023.2194221
   Onyango S., 2023, First-of-its-kind Course Trains African scientists to use CRISPR to adapt agriculture to climate change
   Ossowski S, 2010, SCIENCE, V327, P92, DOI 10.1126/science.1180677
   Otekunrin O.A., 2020, World Nutr., V11, P86, DOI [DOI 10.26596/WN.202011386-111, 10.26596/WN.202011386-111]
   Otun S, 2023, CRIT REV BIOTECHNOL, V43, P594, DOI 10.1080/07388551.2022.2048791
   Renzi JP, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.886162
   Pickson RB, 2022, ENVIRON DEV SUSTAIN, V24, P4387, DOI 10.1007/s10668-021-01621-8
   Qiu TY, 2018, FRONT PHARMACOL, V9, DOI 10.3389/fphar.2018.00918
   Rai GK, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12122306
   Rock JS, 2023, DEV CHANGE, V54, P117, DOI 10.1111/dech.12750
   Rozen I., 2017, Removing a major CRISPR licensing roadblock in agriculture
   Samantara K, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11020275
   Sami A, 2021, BIOENGINEERED, V12, P5814, DOI 10.1080/21655979.2021.1969831
   Samuel E., 2021, NEW STUDY USE GENOME
   Sánchez-León S, 2018, PLANT BIOTECHNOL J, V16, P902, DOI 10.1111/pbi.12837
   Satyavathi CT, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.659938
   Saud S, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.926059
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Sheng XB, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00619
   Shi JR, 2017, PLANT BIOTECHNOL J, V15, P207, DOI 10.1111/pbi.12603
   Singh BK, 2023, NAT REV MICROBIOL, V21, P640, DOI 10.1038/s41579-023-00900-7
   Sirba H., 2021, International Journal of Research Innovation and Earth Science, V8
   Sohail Q., 2016, Breeding and Genetic Enhancement of Dryland Crops BT-Innovations in Dryland Agriculture, P257, DOI [10.1007/978-3-319-47928-6_10, DOI 10.1007/978-3-319-47928-6_10]
   Sprink T., 2024, A Roadmap for Plant Genome Editing, DOI [10.1007/978-3-031-46150-7_25, DOI 10.1007/978-3-031-46150-7_25]
   Sun XJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep10342
   Tahir T, 2020, Biological and Clinical Sciences Research Journal, V2020, DOI [10.54112, 10.54112/bcsrj.v2020i1.17, DOI 10.54112/BCSRJ.V2020I1.17]
   Teklehaimanot H., 2019, GENOME EDITING: FUTURE PROSPECTS FOR ETHIOPIA
   Tripathi JN, 2021, PLANT BIOTECHNOL J, V19, P1291, DOI 10.1111/pbi.13614
   Tripathi JN, 2019, COMMUN BIOL, V2, DOI 10.1038/s42003-019-0288-7
   Tripathi L., 2021, Controlling banana Xanthomonas wilt disease in East Africa
   Tripathi L, 2022, FRONT GENOME EDIT, V4, DOI 10.3389/fgeed.2022.876697
   Tripathi L, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23073619
   Tripathi L, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43421-1
   Varshney R.K., Theor. Appl. Genet, V127
   Voigt B, 2023, FRONT GENOME EDIT, V5, DOI 10.3389/fgeed.2023.1119442
   Vu BN, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1271368
   Wachira K., 2021, Countries Spend Less Than 1% of GDP on Research University World News, African Edition
   Wadvalla B., 2022, Nat. Afr, DOI [10.1038/d44148-022-00106-8, DOI 10.1038/D44148-022-00106-8]
   Wang J, 2020, CROP J, V8, P432, DOI 10.1016/j.cj.2019.08.008
   Wang PD, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.899076
   Wang YJ, 2022, GENES-BASEL, V13, DOI 10.3390/genes13091650
   Wang YX, 2021, J INTEGR PLANT BIOL, V63, P1664, DOI 10.1111/jipb.13105
   Watson A, 2018, NAT PLANTS, V4, P23, DOI 10.1038/s41477-017-0083-8
   Wolter F, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1775-1
   Wong ACS, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.887723
   Worldometer, 2023, Africa Population (Live)
   Xie ML, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.998082
   Yao D, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1247707
   Yoda A, 2021, NEW PHYTOL, V232, P1999, DOI 10.1111/nph.17737
   Zafar K, 2020, FRONT GENOME EDIT, V2, DOI 10.3389/fgeed.2020.00005
   Zaidi SSEA, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02204-y
   Zhang YX, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.802716
   Zhao J, 2015, MOL BREEDING, V35, DOI 10.1007/s11032-015-0232-6
   Zhong XB, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.988505
NR 165
TC 8
Z9 8
U1 16
U2 16
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 JUN
PY 2024
VL 16
AR 101132
DI 10.1016/j.jafr.2024.101132
EA APR 2024
PG 13
WC Agriculture, Multidisciplinary; Food Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Food Science & Technology
GA QZ4I2
UT WOS:001224674000001
OA gold
DA 2025-01-10
ER

PT J
AU Biasi, R
   Brunori, E
   Vanino, S
   Bernardini, A
   Catalani, A
   Farina, R
   Bruno, A
   Chilosi, G
AF Biasi, Rita
   Brunori, Elena
   Vanino, Silvia
   Bernardini, Alessandra
   Catalani, Alessia
   Farina, Roberta
   Bruno, Antonio
   Chilosi, Gabriele
TI Soil-Plant Interaction Mediated by Indigenous AMF in Grafted and
   Own-Rooted Grapevines under Field Conditions
SO AGRICULTURE-BASEL
LA English
DT Article
DE abiotic stress; conservative agriculture; gas exchange; rootstock-scion
   interaction; soil biota
ID ARBUSCULAR MYCORRHIZAL FUNGI; COMMUNITY; DIVERSITY; RESPONSES; SYSTEM
AB Plant-soil biota represent a unique living system crucial for improving crops' adaptation to climate change. In vineyards, plant-soil relations are mediated by rootstock-scion interaction, with grafted vines being the main plant material employed in vineyard planting. The interaction between two deeply different biological systems such as Vitis vinifera sativa and the American Vitis species may modify vines' adaptation to abiotic stress. The aim of this study was to investigate the physiological response (chlorophyll content-CHL; stomatal conductance-gs) of grafted and ungrafted vines and assess the involvement of Arbuscular Mycorrhizal Fungi (AMF) in this response. In two vineyards located in Central Italy, the presence of AMF was assessed in the roots of grafted and ungrafted cv 'Aleatico' vines. The morphological traits of AMF and root mycorrhizal colonization differed in the grafted and ungrafted vines. Under limited climate conditions, ungrafted vines showed better leaf resilience traits (high CHL and gs values) and larger AMF storage organs (vesicles). On the other hand, the grafted ones-which are more sensitive to climate conditions (lower gs and CHL)-involved AMF colonization strategies (greater abundance of arbuscoles and mycorrhizal colonization potential) linked to the improved uptake and transport of water from the bulk soil to the vine. Taken together, these findings highlight different mycorrhizal colonization strategies and storage behaviors in grafted and ungrafted vineyards and with respect to different physical and chemical soil traits.
C1 [Biasi, Rita; Brunori, Elena; Bernardini, Alessandra; Catalani, Alessia; Chilosi, Gabriele] Univ Tuscia, Dept Innovat Biol Agrifood & Forest Syst DIBAF, I-01100 Viterbo, Italy.
   [Vanino, Silvia; Farina, Roberta; Bruno, Antonio] CREA Res Ctr Agr & Environm, I-00184 Rome, Italy.
C3 Tuscia University; Consiglio per la Ricerca in Agricoltura e L'analisi
   Dell'economia Agraria (CREA)
RP Brunori, E (corresponding author), Univ Tuscia, Dept Innovat Biol Agrifood & Forest Syst DIBAF, I-01100 Viterbo, Italy.; Vanino, S (corresponding author), CREA Res Ctr Agr & Environm, I-00184 Rome, Italy.
EM brunori@unitus.it; silvia.vanino@crea.gov.it
RI Farina, Roberta/S-6335-2018; Vanino, Silvia/AAA-4830-2020; brunori,
   elena/I-9088-2019
OI FARINA, ROBERTA/0000-0003-4378-0484; Bruno, Antonio/0000-0002-8677-2209;
   Vanino, Silvia/0000-0001-5837-509X; Catalani,
   Alessia/0000-0002-6653-2523; Brunori, Elena/0000-0002-1475-1353; BIASI,
   Rita/0000-0002-5573-4584
FU PRIMA Programme - European Union; Regione Lazio-LAZIO INNOVA-under the
   Research Groups 2020; Regione Lazio-LAZIO INNOVA-under the Research
   Groups 2020; European POR-FESR 2014-2020;  [2041-LENSE]; 
   [107948-0300-0327]
FX Research funded by the PRIMA Programme supported by the European Union,
   GA no2041-LENSES Project, and by the Regione Lazio-LAZIO INNOVA-under
   the Research Groups 2020 (co-funding European POR-FESR
   2014-2020)-project MICOVIT, Grant number 107948-0300-0327. The ACP was
   funded by CREA-AA. This paper and the content contained therein do not
   represent the opinion of the PRIMA Foundation; the PRIMA foundation is
   not responsible for any uses of its content.
CR Aguilera P, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.826571
   Bahadur A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20174199
   Banerjee S, 2023, NAT REV MICROBIOL, V21, P6, DOI 10.1038/s41579-022-00779-w
   Baslam M, 2012, MYCORRHIZA, V22, P347, DOI 10.1007/s00572-011-0408-9
   Begum N, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01068
   Belda I, 2017, MOLECULES, V22, DOI 10.3390/molecules22020189
   Berlanas C, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01142
   Biasi R, 2015, VITIS, V54, P265
   Biasi R, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8050121
   Brígido C, 2017, SOIL BIOL BIOCHEM, V112, P237, DOI 10.1016/j.soilbio.2017.05.018
   Brunori E, 2015, VITIS, V54, P261
   Brunori E, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11223026
   Carrenho Rosilaine, 2007, Acta Bot. Bras., V21, P723, DOI 10.1590/S0102-33062007000300018
   Chang Q, 2018, ENVIRON POLLUT, V241, P607, DOI 10.1016/j.envpol.2018.06.003
   Chen QL, 2020, ENVIRON INT, V140, DOI 10.1016/j.envint.2020.105766
   Ciccolini V, 2015, BIOL FERT SOILS, V51, P719, DOI 10.1007/s00374-015-1013-4
   Cirigliano P., 2007, C INT CLIM VIT ZAR, P86
   Darriaut R, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1031064
   Darriaut R, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhac019
   De Santis D, 2017, AM J ENOL VITICULT, V68, P100, DOI 10.5344/ajev.2016.15123
   Dries L, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9040822
   Garbeva P, 2008, PLANT SOIL, V302, P19, DOI 10.1007/s11104-007-9432-0
   Gobbi A, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-03202-5
   Habran A, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01134
   Hamonts K, 2018, ENVIRON MICROBIOL, V20, P124, DOI 10.1111/1462-2920.14031
   Hazard C, 2013, ISME J, V7, P498, DOI 10.1038/ismej.2012.127
   Higo M, 2014, BIOL FERT SOILS, V50, P913, DOI 10.1007/s00374-014-0912-0
   Jansa J, 2014, MOL ECOL, V23, P2118, DOI 10.1111/mec.12706
   Keller M, 2001, AUST J GRAPE WINE R, V7, P12, DOI 10.1111/j.1755-0238.2001.tb00188.x
   Kohler J, 2017, PLANT SOIL, V410, P273, DOI 10.1007/s11104-016-3001-3
   Lecourt J, 2015, AUST J GRAPE WINE R, V21, P311, DOI 10.1111/ajgw.12136
   Lenoir I, 2016, PHYTOCHEMISTRY, V123, P4, DOI 10.1016/j.phytochem.2016.01.002
   Li MY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063244
   Ling N, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28448-9
   Marasco R, 2022, ENVIRON MICROBIOL, V24, P3791, DOI 10.1111/1462-2920.16042
   Marasco R, 2018, MICROBIOME, V6, DOI 10.1186/s40168-017-0391-2
   Moukarzel R, 2021, J APPL MICROBIOL, V131, P2941, DOI 10.1111/jam.15160
   Moukarzel R, 2023, MICROB ECOL, V86, P1035, DOI 10.1007/s00248-022-02160-z
   Nikolaou N, 2003, EXP AGR, V39, P241, DOI 10.1017/S001447970300125X
   Pop-Moldovan V, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1052066
   Powell K., 2012, HOLISTIC APPROACH FU
   siarl-lazio, ABOUT US
   Singh BK, 2020, NAT REV MICROBIOL, V18, P601, DOI 10.1038/s41579-020-00446-y
   Smith SE, 2010, PLANT SOIL, V326, P3, DOI 10.1007/s11104-009-9981-5
   Srivastava AK, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.706049
   Tedesco S, 2022, SCI HORTIC-AMSTERDAM, V299, DOI 10.1016/j.scienta.2022.111019
   Tonietto J, 2004, AGR FOREST METEOROL, V124, P81, DOI 10.1016/j.agrformet.2003.06.001
   Trivedi P, 2022, NEW PHYTOL, V234, P1951, DOI 10.1111/nph.18016
   Trivedi P, 2020, NAT REV MICROBIOL, V18, P607, DOI 10.1038/s41579-020-0412-1
   Trouvelot A., 1985, PHYSIOLOGICAL GENETI, pc1986
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Vieira LC, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9010052
   Vierheilig H, 1998, APPL ENVIRON MICROB, V64, P5004
   Vink SN, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11041615
   Wang Fang, 2016, Huanjing Kexue, V37, P309
   Wang Y, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20020401
   Whiting J.R., 2004, Viticulture, V1, P167
   XLSTAT, 2007, STAT SOFTW EXC
   Ye QH, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12071563
   Zarraonaindia I, 2015, MBIO, V6, DOI 10.1128/mBio.02527-14
   Zhuang J, 2020, PEERJ, V8, DOI 10.7717/peerj.10046
NR 61
TC 1
Z9 1
U1 3
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD MAY 13
PY 2023
VL 13
IS 5
AR 1051
DI 10.3390/agriculture13051051
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA H4KD3
UT WOS:000995660700001
OA gold
DA 2025-01-10
ER

PT J
AU Pilakouta, N
   Killen, SS
   Kristjánsson, BK
   Skúlason, S
   Lindström, J
   Metcalfe, NB
   Parsons, KJ
AF Pilakouta, Natalie
   Killen, Shaun S.
   Kristjansson, Bjarni K.
   Skulason, Skuli
   Lindstrom, Jan
   Metcalfe, Neil B.
   Parsons, Kevin J.
TI Geothermal stickleback populations prefer cool water despite
   multigenerational exposure to a warm environment
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; Gasterosteus aculeatus; temperature preference; thermal
   adaptation; thermoregulatory behavior; threespine stickleback
ID TEMPERATURE PREFERENCE; THERMOREGULATORY BEHAVIOR; CLIMATE-CHANGE;
   HEAT-TRANSFER; LAKE MYVATN; FISH; GROWTH; TOLERANCE; RESPONSES;
   PHYSIOLOGY
AB Given the threat of climate change to biodiversity, a growing number of studies are investigating the potential for organisms to adapt to rising temperatures. Earlier work has predicted that physiological adaptation to climate change will be accompanied by a shift in temperature preferences, but empirical evidence for this is lacking. Here, we test whether exposure to different thermal environments has led to changes in preferred temperatures in the wild. Our study takes advantage of a "natural experiment " in Iceland, where freshwater populations of threespine sticklebacks (Gasterosteus aculeatus) are found in waters warmed by geothermal activity year-round (warm habitats), adjacent to populations in ambient-temperature lakes (cold habitats). We used a shuttle-box approach to measure temperature preferences of wild-caught sticklebacks from three warm-cold population pairs. Our prediction was that fish from warm habitats would prefer higher water temperatures than those from cold habitats. We found no support for this, as fish from both warm and cold habitats had an average preferred temperature of 13?. Thus, our results challenge the assumption that there will be a shift in ectotherm temperature preferences in response to climate change. In addition, since warm-habitat fish can persist at relatively high temperatures despite a lower-temperature preference, we suggest that preferred temperature alone may be a poor indicator of a population's adaptive potential to a novel thermal environment.
C1 [Pilakouta, Natalie; Killen, Shaun S.; Lindstrom, Jan; Metcalfe, Neil B.; Parsons, Kevin J.] Univ Glasgow, Inst Biodivers, One Hlth, Glasgow, Lanark, Scotland.
   [Pilakouta, Natalie] Univ Aberdeen, Sch Biol Sci, Aberdeen, Scotland.
   [Kristjansson, Bjarni K.; Skulason, Skuli] Holar Univ, Dept Aquaculture & Fish Biol, Sauoarkrokur, Iceland.
   [Skulason, Skuli] Iceland Museum Nat Hist, Reykjavik, Iceland.
C3 University of Glasgow; University of Aberdeen
RP Pilakouta, N (corresponding author), Zool Bldg,Tillydrone Ave, Aberdeen AB24 2TZ, Scotland.; Parsons, KJ (corresponding author), Graham Kerr Bldg,Univ Ave, Glasgow G12 8QQ, Lanark, Scotland.
EM natalie.pilakouta@abdn.ac.uk; kevin.parsons@glasgow.ac.uk
RI Kristjánsson, Bjarni/B-4349-2013; Pilakouta, Natalie/H-6851-2019;
   Metcalfe, Neil/C-5997-2009
OI Pilakouta, Natalie/0000-0001-8503-520X; Killen,
   Shaun/0000-0003-4949-3988; Kristjansson, Bjarni K./0000-0001-6984-5771
FU Natural Environment Research Council;  [NE/N016734/1]; NERC
   [NE/N016734/1, NE/T008334/1] Funding Source: UKRI
FX Natural Environment Research Council, Grant/Award Number: NE/N016734/1
CR Altizer S, 2013, SCIENCE, V341, P514, DOI 10.1126/science.1239401
   Artacho P, 2015, ECOL EVOL, V5, P3600, DOI 10.1002/ece3.1548
   Buckley LB, 2022, GLOBAL ECOL BIOGEOGR, V31, P2231, DOI 10.1111/geb.13570
   Catullo RA, 2019, CURR BIOL, V29, pR996, DOI 10.1016/j.cub.2019.08.028
   Clark TD, 2022, J EXP BIOL, V225, DOI 10.1242/jeb.244212
   CRAWSHAW LI, 1975, COMP BIOCHEM PHYS A, V52, P171, DOI 10.1016/S0300-9629(75)80148-4
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   Díaz F, 2007, AQUAC RES, V38, P1387, DOI 10.1111/j.1365-2109.2007.01817.x
   Einarsson A, 2004, AQUAT ECOL, V38, P317, DOI 10.1023/B:AECO.0000032090.72702.a9
   EINARSSON A, 1982, FRESHWATER BIOL, V12, P63, DOI 10.1111/j.1365-2427.1982.tb00603.x
   Eliason EJ, 2011, SCIENCE, V332, P109, DOI 10.1126/science.1199158
   Fangue NA, 2009, PHYSIOL BIOCHEM ZOOL, V82, P776, DOI 10.1086/606030
   Franke F, 2019, OIKOS, V128, P869, DOI 10.1111/oik.05864
   Franke F, 2017, PARASITE VECTOR, V10, DOI 10.1186/s13071-017-2192-7
   Gilbert AL, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0536
   Habary A, 2017, GLOBAL CHANGE BIOL, V23, P566, DOI 10.1111/gcb.13488
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   Hight G. A., 1965, SAGA GRETTIR STRONG
   Hovel RA, 2017, GLOBAL CHANGE BIOL, V23, P2308, DOI 10.1111/gcb.13531
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   HUEY RB, 1987, EVOLUTION, V41, P1098, DOI 10.1111/j.1558-5646.1987.tb05879.x
   Jacob S, 2018, P NATL ACAD SCI USA, V115, P11988, DOI 10.1073/pnas.1805574115
   JOBLING M, 1981, J FISH BIOL, V19, P439, DOI 10.1111/j.1095-8649.1981.tb05847.x
   Kearney M, 2009, P NATL ACAD SCI USA, V106, P3835, DOI 10.1073/pnas.0808913106
   KELLOGG RL, 1983, T AM FISH SOC, V112, P424, DOI 10.1577/1548-8659(1983)112<424:RBOTFG>2.0.CO;2
   Killen SS, 2014, J ANIM ECOL, V83, P1513, DOI 10.1111/1365-2656.12244
   Köhler A, 2011, HERPETOL J, V21, P17
   Komaki S, 2020, ECOL EVOL, V10, P9466, DOI 10.1002/ece3.6637
   Kreiling AK, 2018, J LIMNOL, V77, P145, DOI 10.4081/jlimnol.2018.1754
   Logan ML, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0697
   MacLean HJ, 2019, J THERM BIOL, V86, DOI 10.1016/j.jtherbio.2019.102428
   Macnab V, 2012, GLOBAL CHANGE BIOL, V18, P1540, DOI 10.1111/j.1365-2486.2011.02595.x
   Macnaughton CJ, 2018, CONSERV PHYSIOL, V6, DOI 10.1093/conphys/coy018
   Malmos KG, 2021, FUNCT ECOL, V35, P2728, DOI 10.1111/1365-2435.13921
   Martin TL, 2008, AM NAT, V171, pE102, DOI 10.1086/527502
   MCCAULEY RW, 1977, J FISH RES BOARD CAN, V34, P749, DOI 10.1139/f77-117
   Paranjpe DA, 2013, ECOL EVOL, V3, P1977, DOI 10.1002/ece3.614
   Pépino M, 2015, J EXP BIOL, V218, P3461, DOI 10.1242/jeb.126466
   Pérez E, 2003, J THERM BIOL, V28, P531, DOI 10.1016/S0306-4565(03)00055-X
   Pilakouta N., 2022, EVOLUTION, DOI [10.1093/evolut/qpac018, DOI 10.1093/EVOLUT/QPAC018]
   Pilakouta N, 2023, GLOBAL CHANGE BIOL, V29, P206, DOI 10.1111/gcb.16451
   Pilakouta N, 2020, FUNCT ECOL, V34, P1205, DOI 10.1111/1365-2435.13538
   Pörtner HO, 2008, SCIENCE, V322, P690, DOI 10.1126/science.1163156
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   ROED KH, 1979, SARSIA, V64, P137, DOI 10.1080/00364827.1979.10411374
   SCHURMANN H, 1992, J FISH BIOL, V41, P927, DOI 10.1111/j.1095-8649.1992.tb02720.x
   Sih A, 2011, EVOL APPL, V4, P367, DOI 10.1111/j.1752-4571.2010.00166.x
   STEVENS ED, 1974, CAN J ZOOL, V52, P1137, DOI 10.1139/z74-152
   Stodola KW, 2017, AM NAT, V189, P726, DOI 10.1086/691469
   Tabin JA, 2018, DEV BIOL, V441, P338, DOI 10.1016/j.ydbio.2018.04.017
   Tuomainen U, 2011, BIOL REV, V86, P640, DOI 10.1111/j.1469-185X.2010.00164.x
   van Jaarsveld B, 2021, J COMP PHYSIOL B, V191, P575, DOI 10.1007/s00360-021-01352-2
   Westhoff JT, 2016, REV FISH BIOL FISHER, V26, P329, DOI 10.1007/s11160-016-9430-5
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
   Zuo WY, 2012, P ROY SOC B-BIOL SCI, V279, P1840, DOI 10.1098/rspb.2011.2000
NR 55
TC 3
Z9 3
U1 1
U2 8
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD JAN
PY 2023
VL 13
IS 1
AR e9654
DI 10.1002/ece3.9654
PG 8
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA 7T8IZ
UT WOS:000911686900001
PM 36644700
OA gold, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Nissan, H
   Simmons, W
   Downs, SM
AF Nissan, Hannah
   Simmons, Will
   Downs, Shauna M.
TI Building climate-sensitive nutrition programmes
SO BULLETIN OF THE WORLD HEALTH ORGANIZATION
LA English
DT Article
ID FOOD; VARIABILITY; IMPACTS; SEASONALITY; INTERVENTIONS; CHILDREN;
   HEALTH; LINK
AB The food system and climate are closely interconnected. Although most research has focused on the need to adopt a plant-based diet to help mitigate climate change, there is also an urgent need to examine the effects of climate change on food systems to adapt to climate change. A systems approach can help identify the pathways through which climate influences food systems, thereby ensuring that programmes combating malnutrition take climate into account. Although little is known about how climate considerations are currently incorporated into nutrition programming, climate information services have the potential to help target the delivery of interventions for at-risk populations and reduce climate-related disruption during their implementation. To ensure climate services provide timely information relevant to nutrition programmes, it is important to fill gaps in our knowledge about the influence of climate variability on food supply chains. A proposed roadmap for developing climate-sensitive nutrition programmes recommends: (i) research aimed at achieving a better understanding of the pathways through which climate influences diet and nutrition, including any time lags; (ii) the identification of entry points for climate information into the decision-making process for nutrition programme delivery; and (iii) capacity-building and training programmes to better equip public health practitioners with the knowledge, confidence and motivation to incorporate climate resilience into nutrition programmes. With sustained investment in capacity-building, data collection and analysis, climate information services can be developed to provide the data, analyses and forecasts needed to ensure nutrition programmes target their interventions where and when they are most needed.
C1 [Nissan, Hannah] London Sch Econ & Polit Sci, Grantham Inst Climate Change & Environm, London, England.
   [Simmons, Will] Columbia Univ, Mailman Sch Publ Hlth, Dept Epidemiol, New York, NY USA.
   [Downs, Shauna M.] Rutgers Sch Publ Hlth, Dept Urban Global Publ Hlth, One Riverfront Plaza,Suite 1020, Newark, NJ 07102 USA.
C3 University of London; London School Economics & Political Science;
   Columbia University; Rutgers University System
RP Downs, SM (corresponding author), Rutgers Sch Publ Hlth, Dept Urban Global Publ Hlth, One Riverfront Plaza,Suite 1020, Newark, NJ 07102 USA.
EM sd1081@sph.rutgers.edu
OI Simmons, Will/0000-0003-4120-1063
FU Grantham Foundation for the Protection of the Environment; United
   Kingdom Economic and Social Research Council through the Centre for
   Climate Change Economics and Policy [ES/R009708/1]; ESRC [ES/R009708/1]
   Funding Source: UKRI
FX This work was undertaken as part of the Columbia World Project, ACToday,
   Columbia University, New York City, led by the International Research
   Institute for Climate and Society. Hannah Nissan received funding from
   the Grantham Foundation for the Protection of the Environment and the
   United Kingdom Economic and Social Research Council (ES/R009708/1)
   through the Centre for Climate Change Economics and Policy.
CR ACToday, 2020, ADAPTING AGR CLIMATE
   [Anonymous], 2020, 2021 GLOB NUTR REP S
   [Anonymous], 2017, 10 GLOB PAN AGR FOOD
   Barbier B, 2009, ENVIRON MANAGE, V43, P790, DOI 10.1007/s00267-008-9237-9
   Bauer P, 2015, NATURE, V525, P47, DOI 10.1038/nature14956
   Baye K, 2020, LANCET CHILD ADOLESC, V4, pE3, DOI 10.1016/S2352-4642(19)30343-8
   Bene C, 2015, BANGLADESH IMPACT CL
   Bhutta ZA, 2013, LANCET, V382, P452, DOI 10.1016/S0140-6736(13)60996-4
   Bloem MW, 1995, FOOD NUTR BULL, V16, P1, DOI [10.1177/156482659501600206, DOI 10.1177/156482659501600206]
   BROWN KH, 1982, AM J CLIN NUTR, V36, P303
   Chambers R., 1981, SEASONAL DIMENSIONS
   Chikhungu LC, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-1146
   Clark MA, 2019, P NATL ACAD SCI USA, V116, P23357, DOI 10.1073/pnas.1906908116
   Cotty PJ, 2007, INT J FOOD MICROBIOL, V119, P109, DOI 10.1016/j.ijfoodmicro.2007.07.060
   Crippa M, 2021, NAT FOOD, V2, P198, DOI 10.1038/s43016-021-00225-9
   Davis KF, 2021, NAT FOOD, V2, DOI 10.1038/s43016-020-00196-3
   Dinku T, 2018, CLIM DEV, V10, P664, DOI 10.1080/17565529.2017.1405784
   Dizon F., 2018, Policy Research Working Paper - World Bank
   Dobson A, 2009, ECOLOGY, V90, P920, DOI 10.1890/08-0736.1
   Dupar, 2019, CLIMATE INFORM HELP
   Fanzo J, 2018, GLOB FOOD SECUR-AGR, V18, P12, DOI 10.1016/j.gfs.2018.06.001
   Garnett T, 2009, ENVIRON SCI POLICY, V12, P491, DOI 10.1016/j.envsci.2009.01.006
   Godfray HCJ, 2018, SCIENCE, V361, DOI 10.1126/science.aam5324
   Hansen James., 2019, Scaling Climate Services to Enable Effective Adaptation Action
   Ibarra AMS, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078263
   Ingram J, 2020, NAT FOOD, V1, P9, DOI 10.1038/s43016-019-0003-3
   Jolliffe I. T., 2012, Forecast Verification: A Practitioner's Guide in Atmospheric Science, V2
   Kovats RS, 2005, INT J BIOMETEOROL, V49, P207, DOI 10.1007/s00484-004-0241-3
   Kumar P, 2017, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.02170
   Maleta K, 2003, ACTA PAEDIATR, V92, P491, DOI 10.1111/j.1651-2227.2003.tb00584.x
   Maproom, 2021, CLIM HLTH
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Muñoz AG, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0146-1
   Neff RA, 2015, HEALTH AFFAIR, V34, P1908, DOI 10.1377/hlthaff.2015.0926
   Niles MT, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd0ab
   Nissan H, 2021, MALARIA J, V20, DOI 10.1186/s12936-021-03718-x
   Phalkey RK, 2015, P NATL ACAD SCI USA, V112, pE4522, DOI 10.1073/pnas.1409769112
   Pople A., 2024, CSAE Working Paper Series 2021-07
   Singh P, 2020, 317 CCAFS
   Springmann M, 2016, P NATL ACAD SCI USA, V113, P4146, DOI 10.1073/pnas.1523119113
   Stelmach-Mardas M, 2016, EUR J CLIN NUTR, V70, P700, DOI 10.1038/ejcn.2015.224
   Thomson MC., 2019, CLIMATE INFORM PUBLI, V1
   Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959
   Vaitla B, 2009, PLOS MED, V6, DOI 10.1371/journal.pmed.1000101
   van Berkum S., 2018, Flexible Imputation of Missing Data, P29, DOI 10.18174/451505
   Villers P, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00158
   Wijesinha-Bettoni R, 2013, INT J CHILD HEALTH N, V2, P335, DOI 10.6000/1929-4247.2013.02.04.7
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Wossen T, 2018, AGR SYST, V163, P7, DOI 10.1016/j.agsy.2017.02.006
   Zhou C, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00955-x
NR 50
TC 2
Z9 2
U1 1
U2 6
PU WORLD HEALTH ORGANIZATION
PI GENEVA 27
PA MARKETING AND DISSEMINATION, CH-1211 GENEVA 27, SWITZERLAND
SN 0042-9686
EI 1564-0604
J9 B WORLD HEALTH ORGAN
JI Bull. World Health Organ.
PD JAN
PY 2022
VL 100
IS 1
BP 70
EP 77
DI 10.2471/BLT.21.285589
PG 8
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health
GA YH9GW
UT WOS:000743468800001
PM 35017759
OA gold, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Moreno, D
   Pacifici, M
   Maiorano, L
   Rondinini, C
AF Moreno, Di Marco
   Pacifici, Michela
   Maiorano, Luigi
   Rondinini, Carlo
TI Drivers of change in the realised climatic niche of terrestrial mammals
SO ECOGRAPHY
LA English
DT Article
DE climate change; extinction risk; human pressure; life-history traits;
   mammals
ID LIFE-HISTORY TRAITS; CONSERVATION; BIODIVERSITY; RESPONSES; ADAPTATION;
   EXTINCTION; WORLDS; SHIFTS; PREDICTIONS; IMPUTATION
AB The breadth of a species' climatic niche is an important ecological trait that allows adaptation to climate change, but human activities often reduce realised niche breadth by impacting species distributions. Some life-history traits, such as dispersal ability and reproductive speed, allow species to cope with both human impact and climate change. But how do these traits interact with human pressure to determine niche change? Here we investigate the patterns and drivers of change in the realised climatic niche of 258 terrestrial mammal species. Our goal is to disentangle the impacts of human land use, climate change and life history. We quantified the past and present climatic niches of each species by considering past climatic conditions (Mid Holocene) within their pre-human impact distributions, and current climatic conditions within the current distributions. Depending on the difference between past and current niche, we defined four categories of change: 'shrink', 'shift', 'stable' and 'expand'. We found over half of the species in our sample have undergone niche shrink, while only one in six retained a stable niche. Climate change and distribution change were the strongest correlates of species niche change, followed by biogeography, anthropogenic land use and life-history traits. Factors that increased the probability of niche shrink included: overall climatic instability, reduction in distribution range, historical land use, large body mass and long weaning age. Species with these characteristics might require interventions that facilitate natural dispersal or assisted colonisation to survive rapidly changing climates.
C1 [Moreno, Di Marco; Pacifici, Michela; Maiorano, Luigi; Rondinini, Carlo] Sapienza Univ Rome, Dept Biol & Biotechnol, Rome, Italy.
C3 Sapienza University Rome
RP Moreno, D (corresponding author), Sapienza Univ Rome, Dept Biol & Biotechnol, Rome, Italy.
EM moreno.dimarco@uniroma1.it
RI Rondinini, Carlo/E-9027-2011; Pacifici, Michela/ABD-7812-2020; Maiorano,
   Luigi/AFR-6582-2022; Di Marco, Moreno/J-4285-2012; Maiorano,
   Luigi/A-8637-2008
OI Di Marco, Moreno/0000-0002-8902-4193; Rondinini,
   Carlo/0000-0002-6617-018X; PACIFICI, MICHELA/0000-0002-4468-4710;
   Maiorano, Luigi/0000-0002-2957-8979
FU European Union's Horizon 2020 research and innovation programme under
   the Marie Sklodowska-Curie grant [793212]; Marie Curie Actions (MSCA)
   [793212] Funding Source: Marie Curie Actions (MSCA)
FX This project has received funding from the European Union's Horizon 2020
   research and innovation programme under the Marie Sklodowska-Curie grant
   agreement no. 793212.
CR Adrian R, 2006, GLOBAL CHANGE BIOL, V12, P652, DOI 10.1111/j.1365-2486.2006.01125.x
   Angert AL, 2011, ECOL LETT, V14, P677, DOI 10.1111/j.1461-0248.2011.01620.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Belote RT, 2020, FRONT ECOL ENVIRON, V18, P376, DOI 10.1002/fee.2192
   Bielby J, 2007, AM NAT, V169, P748, DOI 10.1086/516847
   Braconnot P, 2007, CLIM PAST, V3, P261, DOI 10.5194/cp-3-261-2007
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Broennimann O, 2012, GLOBAL ECOL BIOGEOGR, V21, P481, DOI 10.1111/j.1466-8238.2011.00698.x
   Cardillo M, 2005, SCIENCE, V309, P1239, DOI 10.1126/science.1116030
   Carroll SP, 2008, MOL ECOL, V17, P361, DOI 10.1111/j.1365-294X.2007.03484.x
   Carter NH, 2016, TRENDS ECOL EVOL, V31, P575, DOI 10.1016/j.tree.2016.05.006
   Chown SL, 2010, CLIM RES, V43, P3, DOI 10.3354/cr00879
   COLWELL RK, 1971, ECOLOGY, V52, P567, DOI 10.2307/1934144
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Di Cola V, 2017, ECOGRAPHY, V40, P774, DOI 10.1111/ecog.02671
   Di Marco M, 2019, GLOBAL CHANGE BIOL, V25, P2763, DOI 10.1111/gcb.14663
   Di Marco M, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07049-5
   Diniz JAF, 1998, EVOLUTION, V52, P1247, DOI 10.1111/j.1558-5646.1998.tb02006.x
   Diniz JAF, 2019, ECOGRAPHY, V42, P1124, DOI 10.1111/ecog.04264
   Faurby S, 2015, DIVERS DISTRIB, V21, P1155, DOI 10.1111/ddi.12369
   Faurby S, 2018, ECOLOGY, V99, P2626, DOI 10.1002/ecy.2443
   Ficetola GF, 2020, ECOGRAPHY, V43, P724, DOI 10.1111/ecog.04798
   Fragoso JMV, 2003, ECOLOGY, V84, P1998, DOI 10.1890/01-0621
   Goldewijk KK, 2017, EARTH SYST SCI DATA, V9, P927, DOI 10.5194/essd-9-927-2017
   González-Suárez M, 2013, ECOL LETT, V16, P242, DOI 10.1111/ele.12035
   Hanson JO, 2020, NATURE, V580, P232, DOI 10.1038/s41586-020-2138-7
   Hendry AP, 2008, MOL ECOL, V17, P20, DOI 10.1111/j.1365-294X.2007.03428.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hoffmann M, 2011, PHILOS T R SOC B, V366, P2598, DOI 10.1098/rstb.2011.0116
   Hoffmann M, 2010, SCIENCE, V330, P1503, DOI 10.1126/science.1194442
   IUCN-International union for conservation of nature, 2019, Takin, Budorcas taxicolor
   Jiguet F, 2007, GLOBAL CHANGE BIOL, V13, P1672, DOI 10.1111/j.1365-2486.2007.01386.x
   Johnson CN, 2017, SCIENCE, V356, P270, DOI 10.1126/science.aam9317
   Kaplan JO, 2011, HOLOCENE, V21, P775, DOI 10.1177/0959683610386983
   Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256
   Lauzeral C, 2011, GLOBAL ECOL BIOGEOGR, V20, P407, DOI 10.1111/j.1466-8238.2010.00611.x
   Lim JY, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18530-5
   Liu X, 2017, J BIOGEOGR, V44, P111, DOI 10.1111/jbi.12808
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Mahon CL, 2016, FOREST ECOL MANAG, V361, P99, DOI 10.1016/j.foreco.2015.11.007
   Maiorano L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074989
   Mantyka-Pringle CS, 2015, BIOL CONSERV, V187, P103, DOI 10.1016/j.biocon.2015.04.016
   Martínez-Freiría F, 2016, DIVERS DISTRIB, V22, P432, DOI 10.1111/ddi.12406
   Maxwell S, 2016, NATURE, V536, P143, DOI 10.1038/536143a
   NAGELKERKE NJD, 1991, BIOMETRIKA, V78, P691, DOI 10.1093/biomet/78.3.691
   Newbold T, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0792
   Newbold T, 2016, SCIENCE, V353, P288, DOI 10.1126/science.aaf2201
   Olalla-Tárraga MA, 2011, J BIOGEOGR, V38, P2237, DOI 10.1111/j.1365-2699.2011.02570.x
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Otto-Bliesner BL, 2006, SCIENCE, V311, P1751, DOI 10.1126/science.1120808
   Pacifici M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16684-w
   Pacifici M, 2017, NAT CLIM CHANGE, V7, P205, DOI 10.1038/NCLIMATE3223
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Pearman PB, 2008, TRENDS ECOL EVOL, V23, P149, DOI 10.1016/j.tree.2007.11.005
   Penone C, 2014, METHODS ECOL EVOL, V5, P961, DOI 10.1111/2041-210X.12232
   Peterson A. T., 2011, Ecological Niches and Geographic Distributions
   Petitpierre B, 2012, SCIENCE, V335, P1344, DOI 10.1126/science.1215933
   Pineda-Munoz S, 2016, PALEOBIOLOGY, V42, P659, DOI 10.1017/pab.2016.6
   Pringle RM, 2007, P NATL ACAD SCI USA, V104, P193, DOI 10.1073/pnas.0609840104
   Quintero I, 2013, ECOL LETT, V16, P1095, DOI 10.1111/ele.12144
   Santini L, 2016, GLOBAL CHANGE BIOL, V22, P2415, DOI 10.1111/gcb.13271
   Santini L, 2013, HYSTRIX, V24, P181, DOI 10.4404/hystrix-24.2-8746
   Saupe EE, 2015, GLOBAL ECOL BIOGEOGR, V24, P1159, DOI 10.1111/geb.12333
   Soria CD, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3344
   Soulé ME, 2003, CONSERV BIOL, V17, P1238, DOI 10.1046/j.1523-1739.2003.01599.x
   Stekhoven DJ, 2012, BIOINFORMATICS, V28, P112, DOI 10.1093/bioinformatics/btr597
   Swihart RK, 2003, DIVERS DISTRIB, V9, P1, DOI 10.1046/j.1472-4642.2003.00158.x
   Thuiller W, 2005, GLOBAL ECOL BIOGEOGR, V14, P347, DOI 10.1111/j.1466-822x.2005.00162.x
   Trisos CH, 2020, NATURE, V580, P496, DOI 10.1038/s41586-020-2189-9
   Urban MC, 2014, EVOL APPL, V7, P88, DOI 10.1111/eva.12114
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Visconti P, 2016, CONSERV LETT, V9, P5, DOI 10.1111/conl.12159
   Walther GR, 2005, P ROY SOC B-BIOL SCI, V272, P1427, DOI 10.1098/rspb.2005.3119
NR 75
TC 20
Z9 22
U1 4
U2 49
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0906-7590
EI 1600-0587
J9 ECOGRAPHY
JI Ecography
PD AUG
PY 2021
VL 44
IS 8
BP 1180
EP 1190
DI 10.1111/ecog.05414
EA MAY 2021
PG 11
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA TV0OG
UT WOS:000653259200001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Owley, J
   Cheever, F
   Rissman, AR
   Shaw, MR
   Thompson, BH
   Weeks, WW
AF Owley, Jessica
   Cheever, Federico
   Rissman, Adena R.
   Shaw, M. Rebecca
   Thompson, Barton H., Jr.
   Weeks, W. William
TI CLIMATE CHANGE CHALLENGES FOR LAND CONSERVATION: RETHINKING CONSERVATION
   EASEMENTS, STRATEGIES, AND TOOLS
SO DENVER LAW REVIEW
LA English
DT Article
ID PROTECTED AREAS; SPECIES VULNERABILITY; RANGE SHIFTS; BIODIVERSITY;
   MANAGEMENT; ADAPTATION; LAW; IMPACTS; FRAGMENTATION; RESTRICTIONS
AB Climate change has significant consequences for land conservation. Government agencies and nonprofit land trusts heavily rely on perpetual conservation easements. However, climate change and other dynamic landscape changes raise questions about the effectiveness and adaptability of permanent conservation instruments like conservation easements. Building upon a study of 269 conservation easements and interviews with seventy conservation-easement professionals in six different states, we examine the adaptability of conservation easements to climate change. We outline four potential approaches to enhance conservation outcomes under climate change: (1) shift land-acquisition priorities to account for potential climate change impacts; (2) consider conservation tools other than perpetual conservation easements; (3) ensure that the terms of conservation easements permit the holder to adapt to climate change successfully; and (4) provide for more active stewardship of conservation lands. There is still a good deal of uncertainty as to the legal fate of a conservation easement that no longer meets its original purposes. Many state laws provide that conservation easements can be modified or terminated in the same manner as traditional easements. Yet conservation easements are in many ways unlike other easements. The beneficiary is usually the public, not merely a neighboring landowner, and the holder is always a nonprofit conservation organization or a government agency. Thus, there is a case to be made for adaptive protection. An overly narrow focus on perpetual property rights could actually thwart efforts to meet adaptation needs over the long term. We call for careful attention to ensuring conservation outcomes in dynamic landscapes over time.
C1 [Owley, Jessica] SUNY Buffalo, Law Sch, Buffalo, NY 14260 USA.
   [Cheever, Federico] Univ Denver, Sturm Coll Law, Denver, CO 80208 USA.
   [Rissman, Adena R.] Univ Wisconsin Madison, Dept Forest & Wildlife Ecol, Madison, WI USA.
   [Shaw, M. Rebecca] World Wide Fund Nat WWF, Gland, Switzerland.
   [Thompson, Barton H., Jr.] Stanford Law Sch, Nat Resources Law, Stanford, CA USA.
   [Thompson, Barton H., Jr.] Stanford Woods Inst Environment, Stanford, CA USA.
   [Weeks, W. William] Indiana Univ, Conservat Law Clin, Maurer Sch Law, Bloomington, IN 47405 USA.
C3 State University of New York (SUNY) System; University at Buffalo, SUNY;
   University of Denver; University of Wisconsin System; University of
   Wisconsin Madison; Stanford University; Indiana University System;
   Indiana University Bloomington
RP Owley, J (corresponding author), SUNY Buffalo, Law Sch, Buffalo, NY 14260 USA.
FU Resources Legacy Fund; Woods Institute at Stanford; Baldy Center for Law
   Social Policy; land trust community
FX Professor, SUNY Buffalo Law School. We would like to thank Resources
   Legacy Fund, the Woods Institute at Stanford, and the Baldy Center for
   Law & Social Policy for financial support for this effort. This project
   would not have been possible without the support of the land trust
   community and the seventy organizations that provided conservation
   easements and agreed to interviews. We have presented portions of this
   work at the Land Trust Alliance's annual rallies and many conferences
   and workshops. While several of us have links to land-conservation
   organizations, the work here is our own and does not represent the
   opinions of any such organizations. We also want to thank the students
   who assisted in gathering and synthesizing data, along with Josh Eagle
   and Cinnamon Carlarne who coordinated the students at the University of
   South Carolina.
CR ABBOTT JR GORDON, 1993, SAVING SPECIAL PLACE, P11
   Abrams Robert, 1990, ALB L REV, V54, P391
   Abrams Robert., 1990, Albany Law Review, V54, P359
   Abrams Robert, 1990, ALB L REV, V54, P392
   Adams VM, 2013, LAND USE POLICY, V30, P114, DOI 10.1016/j.landusepol.2012.03.009
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   WATSON R., 2010, EXPANDING OPTIONS HA, pAFRICAN
   Anhalt-Depies CM, 2016, ENVIRON MANAGE, V57, P987, DOI 10.1007/s00267-016-0673-7
   Anhalt-Depies Christine M., 2016, ENV MGMT, V57, P990
   [Anonymous], CONS COV CURR PROJ S
   [Anonymous], NAT GAP AN PROJ GAP
   [Anonymous], CONS EAS NAT CONS EA
   [Anonymous], WILDL LAND TRUST
   [Anonymous], LAND PROT
   [Anonymous], 2014, COMMUNICATION
   [Anonymous], 2018, ILL COMP STAT
   [Anonymous], MANAGING RISKS EXTRE
   [Anonymous], LANDS CONS COOP
   [Anonymous], WORLD LAND TRUST
   [Anonymous], CLIM CHANG 2014 IMP
   [Anonymous], FARMS FOOD
   [Anonymous], HAB EXCH THEY WORK
   [Anonymous], 2017, New York Times1 July
   [Anonymous], CONS CHANG CLIM
   [Anonymous], 2015, CLIM CHANG MON REP 2
   [Anonymous], REDW CLIM
   [Anonymous], MEET CHALL CHANG CLI
   [Anonymous], 2014, COMMUNICATION
   [Anonymous], CLIM CHANG LAND CLIM
   [Anonymous], GEOGR STAT
   [Anonymous], CAL MIGR BIRDS
   [Anonymous], LAND TRUSTS LAND TRU
   [Anonymous], RESILIENCE THINKING
   [Anonymous], PLAC WE PROT
   [Anonymous], 2018, COMP POL PLANS RUL G
   [Anonymous], 2017, US Department of Labor, P1
   [Anonymous], PROT FOR FOR WETL PR
   [Anonymous], STAT NEV CONS CRED S
   [Anonymous], LAND CONS
   [Anonymous], COL CONS MOST IMP LA
   [Anonymous], CONS RES PROGR
   [Anonymous], 2014, COMMUNICATION
   Battin J, 2007, P NATL ACAD SCI USA, V104, P6720, DOI 10.1073/pnas.0701685104
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Bergquist Lee, 2016, MILWAUKEE WIS J SENT
   Bowles I., 1998, Duke Environmental Law and Policy Forum, V8, P209
   Boyd J, 2007, ECOL ECON, V63, P616, DOI 10.1016/j.ecolecon.2007.01.002
   Boyd James, 2007, ECOLOGICAL EC, V63, P619
   Bray Z, 2010, HARVARD ENVIRON LAW, V34, P119
   Bray Zachary, 2010, HARVARD ENVIRON LAW, V34, P128
   Brukas V, 2012, LAND USE POLICY, V29, P605, DOI 10.1016/j.landusepol.2011.10.003
   Camacho Alejandro E, 2009, EMORY LJ, V59, P10
   Camacho AlejandroE., 2009, EMORY LAW J, V59, P1
   CAMPBELL ALISON, 2008, CARBON EMISSIONS FOR, P2
   Chang-Eob Kim, 2016, 2016 19th International Conference on Electrical Machines and Systems (ICEMS)
   CHAPIN FS, 2011, ECOSPHERE, V2
   Chapin III F. Stuart, 2011, ECOSPHERE, V2, P10
   Chapman TB, 2012, ECOLOGY, V93, P2175, DOI 10.1890/11-1055.1
   Cheever F, 1996, DENVER U LAW REV, V73, P1077
   Cheever F., 2014, JL Prop. Soc., V107
   Cheever F, 2016, HARVARD ENVIRON LAW, V40, P1
   Cheever Federico, 1995, DENVER U LAW REV, V73, P1080
   Cheever Federico, 2016, HARVARD ENVIRON LAW, V40, P5
   Cheever Federico, 2015, JL PROP SOC, V1, P117
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Chiacu D, 2017, REUTERS
   COUNCIL ON ENVTL, 1970, QUAL ENV QUAL 1 ANN, P16
   COUNCIL ON ENVTL, 2016, QUAL EX OFF PRES MEM
   Craig Robin Kundis, 2010, Sustainability, V2, P1361, DOI 10.3390/su2051361
   Craig Robin Kundis, 2010, SUSTAINABILITY, V2, P1363
   CUNNINGHAM RA, 1968, DENVER LAW J, V45, P167
   Cunningham Roger A., 1968, DENV LJ, V45, P181
   DANA SAMUEL TRASK, 1980, FOREST RANGE POLICY, P59
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Dell'Amore Christine, 2014, 7 SPECIES HIT HARD C
   Doria MD, 2009, ENVIRON SCI POLICY, V12, P810, DOI 10.1016/j.envsci.2009.04.001
   Embrey S, 2012, AM J PUBLIC HEALTH, V102, P818, DOI 10.2105/AJPH.2011.300520
   FAIRFAX SALLY K, 2005, BUYING NATURE LIMITS, P1
   Feifel Kirsten, 2010, ADDING IMPACTS CLIMA
   FIELD CHRISTOPHER B, 2014, CLIMATE CHANGE 2014, P14
   Fordham DA, 2012, GLOBAL CHANGE BIOL, V18, P1357, DOI 10.1111/j.1365-2486.2011.02614.x
   Gartner Todd, 2010, HABITAT CREDIT TRADI, p[24, 24]
   GOETSCH CC, 1976, CONN LAW REV, V8, P383
   Goodman K.S., 2008, Scientific realism in studies of reading, P3
   Greene Duncan M, 2005, SEATTLE UL REV, V28, P902
   Greene Duncan M, 2005, SEATTLE U L REV, V28, P884
   GROVES CRAIG, 2003, DRAFTING CONSERVATIO, V4
   Gustanski Julie Ann, 2000, 9 PROTECTING LAND CO, P14
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Hannah L., 2005, CLIMATE CHANGE BIODI, P329
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Heller E, 2009, BIOL CONSERV, V142
   Hobbs RJ, 2011, BIOSCIENCE, V61, P442, DOI 10.1525/bio.2011.61.6.6
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hole DG, 2011, CONSERV BIOL, V25, P305, DOI 10.1111/j.1523-1739.2010.01633.x
   Holl KD, 2011, FOREST ECOL MANAG, V261, P1558, DOI 10.1016/j.foreco.2010.07.004
   Holl K. D, 2011, FOREST ECOLOGY MGMT, V261, P1561
   Howard B. C., 2016, 1 MAMMAL SPECIES GOE
   Intergovernmental Panel on Climate Change (IPCC), 2007, CLIMATE CHANGE 2007, P750
   Janowiak MK, 2014, J FOREST, V112, P424, DOI 10.5849/jof.13-094
   Jay JE, 2013, HARVARD ENVIRON LAW, V37, P247
   Jay JE, 2012, HARVARD ENVIRON LAW, V36, P1
   Jay Jessica E, 2012, HARVARD ENVIRON LAW, V36, P37
   Jay Jessica E, 2013, HARVARD ENVIRON LAW, V37, P252
   Jayachandran Seema, 2017, NY TIMES
   Johnston A, 2013, NAT CLIM CHANGE, V3, P1055, DOI 10.1038/NCLIMATE2035
   Joyce L.A., 2014, US GLOBAL CHANGE RES, P175, DOI [DOI 10.7930/J0Z60KZC, 10.7930/J0Z60KZC]
   King MA, 2006, NAT RESOUR J, V46, P65
   Klausmeyer KR, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006392
   Korngold G., 2010, Wisconsin International Law Journal, V28, P585
   Korngold Gerald, 2010, WIS INTL LJ, V28, P633
   Korngold Gerald, 2007, UTAH L REV, P1039
   KRIST JR FRANK J, 2012, US FOREST SERV 2013
   Lathrop RG, 1998, LANDSCAPE URBAN PLAN, V41, P27, DOI 10.1016/S0169-2046(98)00047-4
   LAZARUS RICHARD J, 2004, MAKING ENV LAW, P68
   Levin R. H., 2014, GUIDED TOUR CONSERVA
   Lippman JessicaOwley., 2004, Journal of Environmental Law and Litigation, V19, P293
   Lyons J, 2010, J FISH BIOL, V77, P1867, DOI 10.1111/j.1095-8649.2010.02763.x
   MARRIS EMMA, 2011, RAMBUNCTIOUS GARDEN, P14
   Mateo Blanca Soro, 2016, DERECHO AMBIENTAL EC
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McLaughlin Nancy A., 2005, J LAND RESOURCES ENV, V26, P49
   McLaughlin Nancy A, 2007, ECOLOGY L Q, V34, P708
   McLaughlin Nancy A., 2005, J LAND RESOURCES EN, V26, P50
   McLaughlin N, 2007, ECOL LAW QUART, V34, P673
   McLaughlin NancyA., 2005, Journal of Land, Resources, Environmental Law, V26, P47
   MERCER D. EVAN, 2011, TAKING STOCK PAYMENT, P1
   Milder JC, 2011, CONSERV BIOL, V25, P697, DOI 10.1111/j.1523-1739.2011.01688.x
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Miller AD, 2011, SOC NATUR RESOUR, V24, P65, DOI 10.1080/08941920802684146
   Miller Ashley D, 2010, SOCY NAT RESOURCES, V24, P69
   Morris Amy Wilson, 2009, CHANGING LANDSCAPE C, P135
   Myers Alyssa S. Navares, 2015, GREEN
   NAT'L ASS'N OF STATE FORESTERS, 2015, REC ENH ROL FOR CLIM
   Newburn D, 2005, CONSERV BIOL, V19, P1411, DOI 10.1111/j.1523-1739.2005.00199.x
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   OWLEY J, 2011, STAN ENV LJ, V30, P163
   Owley J, 2011, PACE ENV LAW REV ONL, V2, P88
   Owley J., 2011, Stanford Environmental Law Journal, V30, P121
   Owley J, 2016, LAND USE POLICY, V51, P76, DOI 10.1016/j.landusepol.2015.10.026
   Owley Jessica, 2006, NEB L REV, V84, P1046
   OWLEY Jessica, 2011, L. & CONTEMP. PROB., V74, P199
   Owley Jessica, 2011, LAW CONTEMP PROBL, V74, P209
   Owley Jessica, 2004, J ENV L LITIG, V19, P305
   Owley JessicaLippman., 2006, Nebraska Law Review, V84, P1043
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PREGMON PATRICIA L, 2013, PURCHASE OPTIONS GAI, P14
   Radeloff VC, 2015, ECOL APPL, V25, P2051, DOI 10.1890/14-1781.1
   Raymond L, 1999, NAT RESOUR J, V39, P649
   Reid CT, 2011, J ENVIRON LAW, V23, P203, DOI 10.1093/jel/eqr005
   Reid Colin T, 2011, J ENV L, V23, P206
   Reitze Arnold W., 1999, HOUSTON LAW REV, V36, P679
   Reitze Jr Arnold W, 1999, HOUS L REV, V36, P685
   Rissman A, 2013, ENVIRON MANAGE, V52, P277, DOI 10.1007/s00267-013-0091-z
   Rissman Adena, 2013, ENV MGMT, V52, P278
   Rissman AR, 2017, ECOL SOC, V22, DOI 10.5751/ES-09330-220224
   Rissman AR, 2010, RANGELAND ECOL MANAG, V63, P167, DOI 10.2111/08-251.1
   Rissman Adena R, 2015, CONSERV LETT, P68
   Rissman Adena R, 2010, RANGELAND ECOLOGY M, V63, P172
   Robbins J, 2014, NY TIMES
   Root-Bernstein M, 2013, EARTHS FUTURE, V1, P33, DOI 10.1002/2013EF000136
   Ruhl J. B., 1996, VANDERBILT LAW REV, V49, P1460
   Ruhl JB, 1996, VANDERBILT LAW REV, V49, P1407
   Runting RK, 2013, GLOBAL CHANGE BIOL, V19, P352, DOI 10.1111/gcb.12064
   Salzman J., 2001, STANFORD ENV LAW J, V20, P309
   Salzman James, 2001, STAN ENVTL L J, V20, P323
   Santer Benjamin D, 2017, SCI REP, V7, P1
   Saunders C, 1996, LAND USE POLICY, V13, P325, DOI 10.1016/0264-8377(96)84561-3
   Schneider SH, 2004, GLOBAL ENVIRON CHANG, V14, P245, DOI 10.1016/j.gloenvcha.2004.04.008
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   Sgro Carla M., 2011, EVOLUTIONARY APPL, V4, P332
   Soares B, 2010, P NATL ACAD SCI USA, V107, P10821, DOI 10.1073/pnas.0913048107
   Stanton JC, 2015, GLOBAL CHANGE BIOL, V21, P1066, DOI 10.1111/gcb.12721
   STAUDINGER MICHELLE D, 2012, IMPACTS CLIMATE CHAN, P2
   Stoneham Gary, 2002, AUCTIONS CONSERVATIO, P5
   TAKACS DAVID, 2009, CONSERVATION INT FOR, P7
   Takacs David, 2016, CONT ISSUES CLIMATE, P65
   Taylor Jason, 2008, SCENIC HUDSON
   The Elkhorn Slough Foundation, ELKH SLOUGH FOUND FL
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2015, BIOL J LINN SOC, V115, P718, DOI 10.1111/bij.12510
   Thompson B.H., 2002, IDAHO LAW R, V38, P355
   Thompson Barton H., 2011, U.C. IRVINE L. REV., V1, P1167
   Thompson BH, 2004, NAT RESOUR J, V44, P601
   THOMPSON BH, 2002, VA ENV L J, V21, P245
   THOMPSON IAN, 2009, FOREST RESILIENCE BI, P7
   Thompson Jr Barton H., 2002, VA ENV L J, V21, P270
   Thompson Jr Barton H, 2011, U C IRVINE L REV, V1, P1184
   U. S. FOREST SERV. DEP'T OF AGRIC., 2008, FOR SERV STRAT FRAM, P2
   VINCENT CAROL HARDY, 2017, C RES SERV R42346 FE, P6
   WACKERNAGEL MATHIS, 1996, OUR ECOLOGICAL FOOTP, V3
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Weber T, 2006, LANDSCAPE URBAN PLAN, V77, P94, DOI 10.1016/j.landurbplan.2005.02.002
   Weed AS, 2013, ECOL MONOGR, V83, P441, DOI 10.1890/13-0160.1
   Weeks W. William, 2011, L CONT PROBS, V74, P235
   Weeks W.William., 2011, Law and Contemporary Problems, V74, P229
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   WHYTE JR WILLIAM H, 1959, SECURING OPEN SPACE, pWhyte
   WHYTE WILLIAM H, 1968, LAST LANDSCAPE, P11
   Whyte William H, 1959, LIFE
   Wolf Michael Allan, 2013, UTAH ENV L REV, V33, P101
   Wolf Michael Allan, 2013, UTAH ENV L REV, V33, P116
NR 205
TC 8
Z9 8
U1 0
U2 15
PU UNIV DENVER, STURM COLLEGE LAW
PI DENVER
PA 2255 E EVANS AVENUE, DENVER, CO 80208 USA
SN 2469-6463
J9 DENVER LAW REV
JI Denver Law Rev.
PY 2018
VL 95
IS 3
BP 727
EP 779
PG 53
WC Law
WE Social Science Citation Index (SSCI)
SC Government & Law
GA GM8FD
UT WOS:000438454500005
DA 2025-01-10
ER

PT J
AU Sagris, V
   Sepp, M
AF Sagris, Valentina
   Sepp, Mait
TI Landsat-8 TIRS Data for Assessing Urban Heat Island Effect and Its
   Impact on Human Health
SO IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
LA English
DT Article
DE Exposure to risk; human health; Landsat-8; land surface emissivity
   (LSE); land surface temperature (LST); single-channel (SC) algorithm;
   surface urban heat island (SUHI); thermal infrared sensor (TIRS)
ID LAND-SURFACE TEMPERATURE; RETRIEVAL; ALGORITHM; DRIVERS; SENSORS
AB Heat waves are reaching our cities more frequently nowadays, leading to the urban heat island (UHI) effect. Measured by the remotely sensed land surface temperature (LST), the effect is frequently called surface UHI (SUHI). In Estonia, the SUHI has been studied little and the LST method has not being used yet in studies of Estonian cities' microclimate. The analysis clearly reveals that the effect of UHI in Estonian settlements is larger than ever assumed. Satellite images showed that Tallinn suffers from quite strong UHI effect. Landsat-8 thermal infrared sensor image from July 25, 2014 shows that for all settlements of densely populated Harju County, the temperature is higher than that in the surroundings by 3 degrees C-5 degrees C. To evaluate potential impact to the health of vulnerable groups of residents of Tallinn city, we applied an "exposure to risk-sensitivity-impact" method to evaluate the potential impact of the UHI effect on the health of vulnerable groups of residents of Tallinn city. Our analysis showed that the parts of Tallinn severely affected by heat are mostly the areas of apartment buildings with lower real estate prices. Thus, those areas have also a higher population density and more vulnerable people live there. Produced map of UHI impact can be successfully used for spatial planning measures for adaptation to climate change.
C1 [Sagris, Valentina; Sepp, Mait] Univ Tartu, Geog Dept, EE-51014 Tartu, Estonia.
C3 University of Tartu
RP Sagris, V (corresponding author), Univ Tartu, Geog Dept, EE-51014 Tartu, Estonia.
EM valentina.sagris@ut.ee; mait.sepp@ut.ee
RI Sagris, Valentina/GXV-9111-2022; Sepp, Mait/AAO-9889-2020
OI Sepp, Mait/0000-0002-6403-5427
FU Project "Assessment of Climate Change Impacts and Elaboration of
   Adaption Instruments in the Field of Planning, Land Use, Health and
   Rescue Management" (aka KATI) under Iceland, Liechtenstein; Norway EEA
   Grants; Project "Global Warming and Material Cycling in Landscapes.
   Global Warming-and Human-Induced Changes of Landscape Structure and
   Functions: Modelling and Eco-technological Regulation of Material Fluxes
   in Landscapes" [IUT2-16]
FX This work was supported in part by the Project "Assessment of Climate
   Change Impacts and Elaboration of Adaption Instruments in the Field of
   Planning, Land Use, Health and Rescue Management" (aka KATI) under
   Iceland, Liechtenstein, and Norway EEA Grants, and in part by the
   Project "Global Warming and Material Cycling in Landscapes. Global
   Warming-and Human-Induced Changes of Landscape Structure and Functions:
   Modelling and Eco-technological Regulation of Material Fluxes in
   Landscapes" under Institutional Research Funding Grant IUT2-16.
CR Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Aring;ström DO, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155045
   Barsi JA, 2014, REMOTE SENS-BASEL, V6, P11607, DOI 10.3390/rs61111607
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Huang B, 2013, IEEE GEOSCI REMOTE S, V10, P1011, DOI 10.1109/LGRS.2012.2227930
   Jiménez-Muñoz JC, 2014, IEEE GEOSCI REMOTE S, V11, P1840, DOI 10.1109/LGRS.2014.2312032
   Jiménez-Muñoz JC, 2009, IEEE T GEOSCI REMOTE, V47, P339, DOI 10.1109/TGRS.2008.2007125
   Kährik A, 2015, GEOGRAFIE-PRAGUE, V120, P275
   Ke YH, 2015, REMOTE SENS ENVIRON, V164, P298, DOI 10.1016/j.rse.2015.04.004
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Li ZL, 2013, REMOTE SENS ENVIRON, V131, P14, DOI 10.1016/j.rse.2012.12.008
   Oke T. R., 2006, 81 IOM WORLD MET ORG, P47
   Rekker K., 2013, THESIS
   Roose A., 2016, SLOOM15017 TART U
   Sagris V., 2015, PUBLICATIONES I GEOG, V112, P68
   Schwarz N, 2012, ECOL INDIC, V18, P693, DOI 10.1016/j.ecolind.2012.01.001
   Sepp M., 2015, EESTI LOODUS, V66, P8
   Sepp M., 2015, PUBLICACIONES I GEOG, V112, P20
   Skokovic D., 2014, P LAND PROD VAL EV E, P1
   Sobrino JA, 2008, IEEE T GEOSCI REMOTE, V46, P316, DOI 10.1109/TGRS.2007.904834
   Steeneveld GJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014612
   Terviseamet, 2011, ER KUUM ILMA HAD RIS
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
NR 25
TC 28
Z9 34
U1 3
U2 70
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1545-598X
EI 1558-0571
J9 IEEE GEOSCI REMOTE S
JI IEEE Geosci. Remote Sens. Lett.
PD DEC
PY 2017
VL 14
IS 12
BP 2385
EP 2389
DI 10.1109/LGRS.2017.2765703
PG 5
WC Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote
   Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science
   & Photographic Technology
GA FQ1KK
UT WOS:000418116500043
DA 2025-01-10
ER

PT J
AU Zhang, XL
   Skitmore, M
   De Jong, M
   Huisingh, D
   Gray, M
AF Zhang, Xiaoling
   Skitmore, Martin
   De Jong, Martin
   Huisingh, Donald
   Gray, Matthew
TI Regenerative sustainability for the built environment - from vision to
   reality: an introductory chapter
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Regenerative sustainability; Theory; Framework; Built environment;
   Pathways; Obstacles and enablers
AB Regenerative sustainability is emerging as an alternative discourse around the transition from a 'mechanistic' to an 'ecological' or living systems worldview. This view helps us to re-conceptualize relationships among humans' technological, ecological, economic, social and political systems. Through exploration of 'net positive' or 'regenerative' development lenses and the traditional sustainability literature, the conceptualization and approaches to achieve sustainable development and ecological modernization are expanded to articulate and to explore the evolving sustainability discourse, 'regenerative sustainability'.
   This Special Volume of Journal of Cleaner Production (SIP) is focused upon various dimensions of regenerative sustainability (e.g. regenerative design, regenerative development, and positive development) applied to the urban built environment at scales, which range from individual buildings, neighbourhoods, and urban developments to integrated regional sustainable development. The main focus is on how these approaches and developments are evolving, how they can help us to prevent or adapt to climate change and how these approaches are likely to evolve in the next two to three decades. These approaches are addressed in four themes: (1) reviewing the theoretical development of the discourse of regenerative sustainability, its emerging principles and practices, (2) explaining how it can be measured and monitored, (3) providing encouraging practical pathways and examples of its implementation in multiple cultural and climatic contexts, and (4) mapping obstacles and enablers that must be addressed to help to ensure that more rapid progress is made in implementing the transitions towards an urban built environment that supports genuinely sustainable societies. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Zhang, Xiaoling] City Univ Hong Kong, Dept Publ Policy, Hong Kong, Hong Kong, Peoples R China.
   [Skitmore, Martin; Gray, Matthew] Queensland Univ Technol, Sch Civil Engn & Built Environm, Brisbane, Qld 4001, Australia.
   [De Jong, Martin] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
   [Huisingh, Donald] Univ Tennessee, Journal Cleaner Prod, Knoxville, TN USA.
C3 City University of Hong Kong; Queensland University of Technology (QUT);
   Delft University of Technology; University of Tennessee System;
   University of Tennessee Knoxville
RP Zhang, XL (corresponding author), City Univ Hong Kong, Dept Publ Policy, Hong Kong, Hong Kong, Peoples R China.
EM xiaoling.zhang@cityu.edu.hk; rm.skitmore@qut.edu.au;
   W.M.deJong@tudelft.nl; donaldhuisingh@comcast.net; m2.gray@qut.edu.au
RI De Jong, Martin/E-8002-2013; Skitmore, Martin/I-9743-2012; Zhang,
   Xiaoling/AAT-4795-2020
OI Skitmore, Martin/0000-0001-7135-1201; Zhang,
   Xiaoling/0000-0002-6369-9424
CR Al-Saleh Y, 2015, J CLEAN PROD, V109, P260, DOI 10.1016/j.jclepro.2014.08.042
   Allouhi A, 2015, J CLEAN PROD, V109, P118, DOI 10.1016/j.jclepro.2015.05.139
   [Anonymous], 2005, POLITICS EARTH ENV D
   [Anonymous], 2009, DEVELOPMENT
   Bayulken B, 2015, J CLEAN PROD, V109, P152, DOI 10.1016/j.jclepro.2014.12.099
   Bayulken B, 2015, J CLEAN PROD, V109, P11, DOI 10.1016/j.jclepro.2014.12.100
   Benne B, 2015, J CLEAN PROD, V109, P42, DOI 10.1016/j.jclepro.2015.02.037
   Birkeland J., 2012, POSITIVE DEV VICIOUS
   Cao XY, 2015, J CLEAN PROD, V109, P131, DOI 10.1016/j.jclepro.2015.04.120
   Chao PR, 2015, J CLEAN PROD, V109, P190, DOI 10.1016/j.jclepro.2015.04.091
   Chiang YH, 2015, J CLEAN PROD, V109, P326, DOI 10.1016/j.jclepro.2014.07.069
   Christian David., 2005, MAPS TIME INTRO BIG
   Cobut A, 2015, J CLEAN PROD, V109, P247, DOI 10.1016/j.jclepro.2015.05.068
   Cole RJ, 2012, BUILD RES INF, V40, P39, DOI 10.1080/09613218.2011.610608
   de Jong M, 2015, J CLEAN PROD, V109, P25, DOI 10.1016/j.jclepro.2015.02.004
   Ding XH, 2015, J CLEAN PROD, V109, P62, DOI 10.1016/j.jclepro.2015.06.140
   Dryzek J.S., 1997, POLITICS EARTH
   Dryzek JS., 2013, POLITICS EARTH ENV D
   Du Plessis C, 2015, J CLEAN PROD, V109, P53, DOI 10.1016/j.jclepro.2014.09.098
   du Plessis C, 2012, BUILD RES INF, V40, P7, DOI 10.1080/09613218.2012.628548
   Heiskanen E, 2015, J CLEAN PROD, V109, P347, DOI 10.1016/j.jclepro.2015.04.090
   Heravi G, 2015, J CLEAN PROD, V109, P92, DOI 10.1016/j.jclepro.2015.06.133
   Hes D., 2014, DESIGNING HOPE PATHW
   Labanca N, 2015, J CLEAN PROD, V109, P284, DOI 10.1016/j.jclepro.2015.02.077
   Lam PTI, 2015, J CLEAN PROD, V109, P271, DOI 10.1016/j.jclepro.2015.05.141
   Mang P, 2012, BUILD RES INF, V40, P23, DOI 10.1080/09613218.2012.621341
   Olazabal M, 2015, J CLEAN PROD, V109, P336, DOI 10.1016/j.jclepro.2015.08.047
   Pearce BJ, 2015, J CLEAN PROD, V109, P203, DOI 10.1016/j.jclepro.2015.08.111
   Peng Y, 2015, J CLEAN PROD, V109, P76, DOI 10.1016/j.jclepro.2015.06.143
   Perales-Momparler S, 2015, J CLEAN PROD, V109, P174, DOI 10.1016/j.jclepro.2015.02.039
   Persson J, 2015, J CLEAN PROD, V109, P296, DOI 10.1016/j.jclepro.2014.09.094
   Qian QK, 2015, J CLEAN PROD, V109, P315, DOI 10.1016/j.jclepro.2015.04.066
   Reed B, 2007, BUILD RES INF, V35, P674, DOI 10.1080/09613210701475753
   Ruparathna R, 2015, J CLEAN PROD, V109, P305, DOI 10.1016/j.jclepro.2015.07.007
   Son H, 2015, J CLEAN PROD, V109, P144, DOI 10.1016/j.jclepro.2014.08.071
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Tam VWY, 2015, J CLEAN PROD, V109, P216, DOI 10.1016/j.jclepro.2014.09.045
   Wrigley E. A., 1990, CONTINUITY CHANGE CH
   Wu P, 2015, J CLEAN PROD, V109, P108, DOI 10.1016/j.jclepro.2015.07.067
   Xia B, 2015, J CLEAN PROD, V109, P84, DOI 10.1016/j.jclepro.2015.08.016
   Zhang XF, 2015, J INEQUAL APPL, DOI 10.1186/1029-242X-2015-1
NR 41
TC 25
Z9 28
U1 6
U2 74
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD DEC 16
PY 2015
VL 109
SI SI
BP 1
EP 10
DI 10.1016/j.jclepro.2015.10.001
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA CZ9HZ
UT WOS:000367410000001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Bogale, A
AF Bogale, Ayalneh
TI Weather-indexed insurance: an elusive or achievable adaptation strategy
   to climate variability and change for smallholder farmers in Ethiopia
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; bivariate probit; willingness to pay; rainfall index
   insurance
ID CONTINGENT VALUATION; DETERMINANTS; CAPACITY; CHOICE
AB Smallholder farmers in Ethiopia largely depend on rainfed agriculture and they are highly vulnerable to climate change with few options to offset them. Adaptation to climate change requires innovative measures to be shared and adopted. This paper analyses willingness to pay (WTP) for rainfall-based index insurance by farmers in Ethiopia to shield against the adverse consequences of climate change. Rainfall data for the study area were used to compute Standardized Precipitation Indices to serve as drought monitoring tool and trigger response actions. A bivariate probit model was estimated to scrutinize factors associated with WTP. The results indicate that smallholder farmers associate positive value to indexed insurance. Those farmers in agro-ecology with moisture stress, who are better educated, worried about risk associated with weather and those who have better access to credit are more likely to pay for weather-indexed insurance. However, households that have better non-farm income and remittance are less likely to pay for the indexed insurance. The mean WTP was found to be Birr 119.90 per year for a hectare of maize-cultivated land. However, a number of challenges remain to be addressed for effective index-based insurance, which includes reliable weather data, strong marketing channel and intermediary for the insurance products. Therefore, any intervention which aims at transferring weather-based risks through rainfall index-based insurance need to consider the above features to identify the early adopters of the product.
C1 Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, African Ctr Food Secur, Pietermaritzburg, South Africa.
C3 University of Kwazulu Natal
RP Bogale, A (corresponding author), Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, African Ctr Food Secur, Pietermaritzburg, South Africa.
EM bogalea@ukzn.ac.za
RI Bogale, Ayalneh/JNZ-3588-2023
OI Bogale, Ayalneh/0000-0001-9112-1454
FU SIDA; IDRC
FX This research project has benefitted from resources made available by
   CEEPA through funding from SIDA and IDRC. The invaluable suggestions and
   comments received from CEEPA Resource Persons and Research Committee
   Members have significantly enriched the research work and the write-up
   of the manuscript. All errors and omissions are the sole responsibility
   of the author.
CR Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Agnew C.T., 2000, DROUGHT NETWORK NEWS, V12
   [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 2013, Using Surveys to Value Public Goods: The Contingent Valuation Method
   [Anonymous], 09116 HARV BUS SCH
   [Anonymous], 2007, DESIGNING WEATHER IN
   [Anonymous], 2007, SCALING INDEX INSURA
   [Anonymous], 2007, Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
   [Anonymous], 2002, VALUING ENV NATURAL
   [Anonymous], 2006, MAPPING CLIMATE VULN
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Banga M, 2011, J ENVIRON DEV, V20, P428, DOI 10.1177/1070496511426779
   Basher R., 2000, IRI PUBLICATION
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Bogale A., 2011, Journal of Sustainable Forestry, V30, P518, DOI 10.1080/10549811.2011.567353
   Bonaccorso B, 2003, WATER RESOUR MANAG, V17, P273, DOI 10.1023/A:1024716530289
   Broad K, 2000, SCIENCE, V289, P1693
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   CAMERON TA, 1994, J ENVIRON ECON MANAG, V27, P218, DOI 10.1006/jeem.1994.1035
   Carson RT, 2000, ENVIRON SCI TECHNOL, V34, P1413, DOI 10.1021/es990728j
   Carson RT, 2005, HANDB ECON, V20, P821
   Clarke Daniel., 2010, A Theory of Rational Hedging
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Gine X, 2007, 4408 WORLD BANK
   HANEMANN WM, 1984, AM J AGR ECON, V66, P332, DOI 10.2307/1240800
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hazell P., 2010, The potential for scale and sustainability in weather index insurance for agriculture and rural livelihoods
   Hellmuth M., 2009, Climate and Society No. 2
   Hill R. V., 2011, 1088 IFPRI
   Lee CK, 2007, ECOL ECON, V63, P511, DOI 10.1016/j.ecolecon.2006.12.011
   Maddison D, 2006, 10 CEEPA U PRET
   MCCARTHY N, 2003, 106 INT FOOD POL RES
   McFadden D., 1973, FRONTIERS ECONOMETRI, P112
   Ministry of Water Resources of the Federal Democratic Republic of Ethiopia, 2007, CLIM CHANG AD PROGR
   Parson EA, 2003, CLIMATIC CHANGE, V57, P9, DOI 10.1023/A:1022188519982
   PATRICK GF, 1988, AUST J AGR ECON, V32, P37, DOI 10.1111/j.1467-8489.1988.tb00474.x
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Pearce D., 2001, VALUNIG ENV DEV COUN
   Skees J., 2001, Policy Research Working Paper Series 2577
   SKEES J, 2002, 2812 WORLD BANK
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Tubiello F., 2008, Climate Change Response Strategies for Agriculture: Challenges and Opportunities for the 21st Century
   Whittington D, 2002, ENVIRON RESOUR ECON, V22, P323, DOI 10.1023/A:1015575517927
   ZIERVOGEL G, 2006, 20 AIACC
NR 45
TC 21
Z9 22
U1 0
U2 53
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAY 27
PY 2015
VL 7
IS 3
BP 246
EP 256
DI 10.1080/17565529.2014.934769
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA CI1XB
UT WOS:000354537300005
DA 2025-01-10
ER

PT J
AU Markovic, D
   Carrizo, S
   Freyhof, J
   Cid, N
   Lengyel, S
   Scholz, M
   Kasperdius, H
   Darwall, W
AF Markovic, Danijela
   Carrizo, Savrina
   Freyhof, Joerg
   Cid, Nuria
   Lengyel, Szabolcs
   Scholz, Mathias
   Kasperdius, Hans
   Darwall, William
TI Europe's freshwater biodiversity under climate change: distribution
   shifts and conservation needs
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE Catchment connectivity; climate change; freshwater biodiversity; gap
   analysis; protected areas; species distribution models
ID PROTECTED AREAS; EXTINCTION RISK; CHALLENGES; NETWORKS; IMPACTS
AB Aim To assess the future climatic suitability of European catchments for freshwater species and the future utility of the current network of protected areas.
   Location Europe.
   Methods Using recently updated catchment-scale species data and climate projections from multiple climate models, we assessed the climate change threat by the 2050s for 1648 European freshwater plants, fishes, molluscs, odonates, amphibians, crayfish and turtles for two dispersal scenarios and identified hot-spots of change at three spatial scales: major river basins, countries and freshwater ecoregions. We considered both common species and the often overlooked rare species. To set our findings within the context of current and future conservation networks, we evaluated the coverage of freshwater biodiversity by Europe's protected area network.
   Results Six per cent of common and 77% of rare species are predicted to lose more than 90% of their current range. Eight fish species and nine mollusc species are predicted to experience 100% range loss under climate change. As the most species-rich group, molluscs are particularly vulnerable due to the high proportion of rare species and their relatively limited ability to disperse. Furthermore, around 50% of molluscs and fish species will have no protected area coverage given their projected distributions.
   Main conclusions We identified the species most at threat due to projected changes in both catchment suitability and representation within the European protected area network. Our findings suggest an urgent need for freshwater management plans to facilitate adaptation to climate change.
C1 [Markovic, Danijela; Freyhof, Joerg] Leibniz Inst Freshwater Ecol & Inland Fisheries, D-12587 Berlin, Germany.
   [Carrizo, Savrina; Darwall, William] IUCN Global Species Programme, Freshwater Biodivers Unit, Cambridge CB3 ODL, England.
   [Cid, Nuria] Commiss European Communities, DG Joint Res Ctr, Inst Environm & Sustainabil, I-21027 Ispra, VA, Italy.
   [Lengyel, Szabolcs] Hungarian Acad Sci, Ctr Ecol Res, Danube Res Inst, Dept Tisza River Res, H-4026 Debrecen, Hungary.
   [Scholz, Mathias; Kasperdius, Hans] UFZ Helmholtz Ctr Environm Res, Dept Conservat Biol, D-04318 Leipzig, Germany.
C3 Leibniz Association; Leibniz Institut fur Gewasserokologie und
   Binnenfischerei (IGB); European Commission Joint Research Centre; EC JRC
   ISPRA Site; Hungarian Research Network; Hungarian Academy of Sciences;
   HUN-REN Centre for Ecological Research; Helmholtz Association; Helmholtz
   Center for Environmental Research (UFZ)
RP Markovic, D (corresponding author), Leibniz Inst Freshwater Ecol & Inland Fisheries, Muggelseedamm 310, D-12587 Berlin, Germany.
EM markovic@igb-berlin.de
RI Cid, Nuria/AAH-1433-2021; Scholz, Mathias/AAC-6125-2022; Lengyel,
   Szabolcs/A-3483-2011
OI Scholz, Mathias/0000-0002-8463-9500; Cid, Nuria/0000-0002-9997-5523
FU European Commission BIOFRESH - Biodiversity of Freshwater Ecosystems:
   Status, Trends, Pressures, and Conservation Priorities [226874]
FX We thank four anonymous reviewers for helpful comments. Current research
   is funded by the European Commission BIOFRESH - Biodiversity of
   Freshwater Ecosystems: Status, Trends, Pressures, and Conservation
   Priorities (7th FWP ref. 226874) project. We thank Alize Mercier for her
   comments on a draft of this paper.
CR Abell R, 2008, BIOSCIENCE, V58, P403, DOI 10.1641/B580507
   Akçakaya HR, 2006, GLOBAL CHANGE BIOL, V12, P2037, DOI 10.1111/j.1365-2486.2006.01253.x
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   [Anonymous], 2012, IUCN Red List Categories and Criteria: Version 3.1
   [Anonymous], 2012, R LANG ENV STAT COMP
   Araújo MB, 2005, GLOBAL ECOL BIOGEOGR, V14, P529, DOI 10.1111/j.1466-822x.2005.00182.x
   Araújo MB, 2006, J BIOGEOGR, V33, P1677, DOI 10.1111/j.1365-2699.2006.01584.x
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Bagchi R, 2013, GLOBAL CHANGE BIOL, V19, P1236, DOI 10.1111/gcb.12123
   Buisson L, 2010, GLOBAL CHANGE BIOL, V16, P1145, DOI 10.1111/j.1365-2486.2009.02000.x
   Cianfrani C, 2011, BIOL CONSERV, V144, P2068, DOI 10.1016/j.biocon.2011.03.027
   Comte L, 2013, FRESHWATER BIOL, V58, P625, DOI 10.1111/fwb.12081
   Coudun C, 2007, J VEG SCI, V18, P517, DOI 10.1111/j.1654-1103.2007.tb02566.x
   D'Amen M, 2011, BIOL CONSERV, V144, P989, DOI 10.1016/j.biocon.2010.11.004
   Datry T, 2012, FRESHWATER BIOL, V57, P563, DOI 10.1111/j.1365-2427.2011.02725.x
   Davidson I, 2008, SCIENCE, V322, P1048, DOI 10.1126/science.322.5904.1048b
   Diamond SE, 2012, ECOLOGY, V93, P2305, DOI 10.1890/11-2296.1
   Domisch S, 2013, GLOBAL CHANGE BIOL, V19, P752, DOI 10.1111/gcb.12107
   Fagan WF, 2002, ECOLOGY, V83, P3243, DOI 10.2307/3072074
   Franklin J., 2009, Mapping species distributions - spatial inference and prediction
   Grewe Y, 2013, GLOBAL ECOL BIOGEOGR, V22, P403, DOI 10.1111/geb.12004
   Hein CL, 2011, DIVERS DISTRIB, V17, P641, DOI 10.1111/j.1472-4642.2011.00776.x
   Hickling R, 2005, GLOBAL CHANGE BIOL, V11, P502, DOI 10.1111/j.1365-2486.2005.00904.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Kappes H, 2012, AQUAT SCI, V74, P1, DOI 10.1007/s00027-011-0187-6
   Kishi D, 2005, FRESHWATER BIOL, V50, P1315, DOI 10.1111/j.1365-2427.2005.01404.x
   Lehner B., 2012, GLOBAL WATERSHED BOU
   Lèvêque C, 2008, HYDROBIOLOGIA, V595, P545, DOI 10.1007/s10750-007-9034-0
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Markovic D, 2013, CLIMATIC CHANGE, V119, P375, DOI 10.1007/s10584-013-0725-4
   Markovic D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040530
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Nel JL, 2011, FRESHWATER BIOL, V56, P106, DOI 10.1111/j.1365-2427.2010.02437.x
   Nel JL, 2009, AQUAT CONSERV, V19, P474, DOI 10.1002/aqc.1010
   Poff N. LeRoy, 2012, P309
   Rodrigues ASL, 2004, BIOSCIENCE, V54, P1092, DOI 10.1641/0006-3568(2004)054[1092:GGAPRF]2.0.CO;2
   Rodrigues ASL, 2004, NATURE, V428, P640, DOI 10.1038/nature02422
   Roux DJ, 2008, BIOL CONSERV, V141, P100, DOI 10.1016/j.biocon.2007.09.002
   Stuart SN, 2004, SCIENCE, V306, P1783, DOI 10.1126/science.1103538
   Thuiller W, 2003, GLOBAL CHANGE BIOL, V9, P1353, DOI 10.1046/j.1365-2486.2003.00666.x
   Warren R, 2013, NAT CLIM CHANGE, V3, P678, DOI [10.1038/nclimate1887, 10.1038/NCLIMATE1887]
   Woodward G, 2010, PHILOS T R SOC B, V365, P2093, DOI 10.1098/rstb.2010.0055
NR 45
TC 112
Z9 118
U1 12
U2 242
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1366-9516
EI 1472-4642
J9 DIVERS DISTRIB
JI Divers. Distrib.
PD SEP
PY 2014
VL 20
IS 9
BP 1097
EP 1107
DI 10.1111/ddi.12232
PG 11
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA AN2OX
UT WOS:000340426300009
OA hybrid
DA 2025-01-10
ER

PT J
AU Munroe, DM
   Klinck, JM
   Hofmann, EE
   Powell, EN
AF Munroe, Daphne M.
   Klinck, John M.
   Hofmann, Eileen E.
   Powell, Eric N.
TI The role of larval dispersal in metapopulation gene flow: Local
   population dynamics matter
SO JOURNAL OF MARINE RESEARCH
LA English
DT Article
ID CRASSOSTREA-VIRGINICA GMELIN; EASTERN OYSTER; REGIME SHIFTS; DELAWARE
   BAY; DEVELOP RESISTANCE; PACIFIC OYSTER; DERMO DISEASE; MODEL;
   TRANSPORT; PATTERNS
AB The degree of genetic connectivity among populations in a metapopulation has direct consequences for species evolution, development of disease resistance, and capacity of a metapopulation to adapt to climate change. This study used a metapopulation model that integrates population dynamics, dispersal, and genetics within an individual-based model framework to examine the mechanisms and dynamics of genetic connectivity within a metapopulation. The model was parameterized to simulate four populations of oysters (Crassostrea virginica) from Delaware Bay on the mid-Atlantic coast of the United States. Differences among the four populations include a strong spatial gradient in mortality, a spatial gradient in growth rates, and uneven population abundances. Simulations demonstrated a large difference in the magnitude of neutral allele transfer with changes in population abundance and mortality (on average between 14 and 25% depending on source population), whereas changes in larval dispersal were not effective in altering genetic connectivity (on average between 1 and 8%). Simulations also demonstrated large temporal changes in metapopulation genetic connectivity including shifts in genetic sources and sinks occurring between two regimes, the 1970s and 2000s. Although larval dispersal in a sessile marine population is the mechanism for gene transfer among populations, these simulations demonstrate the importance of local dynamics and characteristics of the adult component of the populations in the flow of neutral alleles within a metapopulation. In particular, differential adult mortality rates among populations exert a controlling influence on dispersal of alleles, an outcome of latent consequence for management of marine populations.
C1 [Munroe, Daphne M.; Powell, Eric N.] Rutgers State Univ, Inst Marine & Coastal Sci, Port Norris, NJ 08349 USA.
   [Munroe, Daphne M.; Powell, Eric N.] Haskin Shellfish Res Lab, New Jersey Agr Expt Stn, Port Norris, NJ 08349 USA.
   [Klinck, John M.; Hofmann, Eileen E.] Old Dominion Univ, Dept Earth & Atmospher Sci, Ctr Coastal Phys Oceanog, Norfolk, VA 23529 USA.
C3 Rutgers University System; Rutgers University New Brunswick; Rutgers
   University System; Rutgers University New Brunswick; Old Dominion
   University
RP Munroe, DM (corresponding author), Rutgers State Univ, Inst Marine & Coastal Sci, Port Norris, NJ 08349 USA.
EM dmunroe@hsrl.rutgers.edu
OI Munroe, Daphne/0000-0002-4388-7882; Klinck, John/0000-0003-4312-5201
FU National Science Foundation [OCE-6022642, OCE-0622672]; Army Corps of
   Engineers through the Seaboard Fisheries Institute [W912BU-11-C-0004];
   South Jersey Port Corporation, a public agency of the State of New
   Jersey
FX Sincere thanks to all Haskin Shellfish Research Laboratory staff, NJDEP
   and Delaware Bay Oystermen who work diligently and co-operatively each
   year to provide reliable annual oyster population estimates in Delaware
   Bay. K. Ashton-Alcox provided valuable historic oyster data, D. Narvaez
   provided critical insight on larval dynamics and P. Lopez-Duarte gave a
   thoughtful review of this manuscript. Funding was provided by the
   National Science Foundation (OCE-6022642 and OCE-0622672) and by the
   Army Corps of Engineers under their Section 22 funding authority,
   contract #W912BU-11-C-0004, through the Seaboard Fisheries Institute, in
   collaboration with the Sponsor, the South Jersey Port Corporation, a
   public agency of the State of New Jersey.
CR BARBER BJ, 1991, BIOL BULL-US, V181, P216, DOI 10.2307/1542092
   Bertness MD, 1996, MAR ECOL PROG SER, V137, P103, DOI 10.3354/meps137103
   Bohonak AJ, 1999, Q REV BIOL, V74, P21, DOI 10.1086/392950
   Botsford LW, 2003, ECOL APPL, V13, pS25
   Collie JS, 2004, PROG OCEANOGR, V60, P281, DOI 10.1016/j.pocean.2004.02.013
   Connolly SR, 2010, ECOLOGY, V91, P3572, DOI 10.1890/10-0143.1
   Cowen RK, 2009, ANNU REV MAR SCI, V1, P443, DOI 10.1146/annurev.marine.010908.163757
   DAVIS HC, 1956, BIOL BULL-US, V110, P117, DOI 10.2307/1538972
   DEEVEY ES, 1947, Q REV BIOL, V22, P283, DOI 10.1086/395888
   Dekshenieks MM, 1996, MAR ECOL PROG SER, V136, P97, DOI 10.3354/meps136097
   DEKSHENIEKS MM, 1993, J SHELLFISH RES, V12, P241
   DiBacco C, 2001, MAR ECOL PROG SER, V217, P191, DOI 10.3354/meps217191
   Epperson BK, 2010, MOL ECOL, V19, P3549, DOI 10.1111/j.1365-294X.2010.04678.x
   FABENS AJ, 1965, GROWTH, V29, P265
   Ford S.E., 1997, HIST PRESENT CONDITI, V1, P119
   Ford S. E., 1999, J SHELLFISH RES, V15, P135
   Ford Susan E., 1996, P581
   Frank BM, 2011, ECOL FRESHW FISH, V20, P167, DOI 10.1111/j.1600-0633.2011.00491.x
   Gaggiotti O. E., 1994, THESIS RUTGERS U NEW
   Galindo HM, 2010, MOL ECOL, V19, P3692, DOI 10.1111/j.1365-294X.2010.04694.x
   Gawarkiewicz G, 2007, OCEANOGRAPHY, V20, P40, DOI 10.5670/oceanog.2007.28
   Grantham BA, 2003, ECOL APPL, V13, pS108
   Grimm V, 2003, HELGOLAND MAR RES, V56, P222, DOI 10.1007/s10152-002-0121-3
   Guichard F, 2004, BIOSCIENCE, V54, P1003, DOI 10.1641/0006-3568(2004)054[1003:TADMAT]2.0.CO;2
   GUNTER G, 1955, ECOLOGY, V36, P601, DOI 10.2307/1931298
   Guo XM, 1998, EVOLUTION, V52, P394, DOI 10.1111/j.1558-5646.1998.tb01640.x
   Haidvogel DB, 2000, DYNAM ATMOS OCEANS, V32, P239, DOI 10.1016/S0377-0265(00)00049-X
   HASTINGS A, 1994, ANNU REV ECOL SYST, V25, P167
   HAYES PF, 1981, BIOL BULL-US, V160, P80, DOI 10.2307/1540902
   He Y, 2012, J MAR RES, V70, P357, DOI 10.1357/002224012802851977
   HEDGECOCK D, 1992, AQUACULTURE, V108, P215, DOI 10.1016/0044-8486(92)90108-W
   HEDGECOCK D, 1994, GENETICS AND EVOLUTION OF AQUATIC ORGANISMS, P122
   Hedgecock D, 2007, OCEANOGRAPHY, V20, P70, DOI 10.5670/oceanog.2007.30
   Hellberg ME, 2009, ANNU REV ECOL EVOL S, V40, P291, DOI 10.1146/annurev.ecolsys.110308.120223
   HOFMANN EE, 1994, J SHELLFISH RES, V13, P165
   Hofmann E, 2009, OCEANOGRAPHY, V22, P212, DOI 10.5670/oceanog.2009.110
   Hofmann Eileen E., 1992, Journal of Shellfish Research, V11, P399
   Jensen AL, 1997, CAN J FISH AQUAT SCI, V54, P987, DOI 10.1139/cjfas-54-5-987
   JOHNSON ML, 1990, ANNU REV ECOL SYST, V21, P449, DOI 10.1146/annurev.ecolsys.21.1.449
   Katsanevakis S, 2009, MAR BIOL, V156, P1715, DOI 10.1007/s00227-009-1206-1
   KENNEDY V S, 1982, Journal of Shellfish Research, V2, P133
   Kim Y., 2012, J MAR BIOL ASS
   Kraeuter JN, 2007, J SHELLFISH RES, V26, P479, DOI 10.2983/0730-8000(2007)26[479:OGAACO]2.0.CO;2
   Kritzer JP, 2004, FISH FISH, V5, P131, DOI 10.1111/j.1467-2979.2004.00131.x
   Lamy T, 2012, MOL ECOL, V21, P1394, DOI 10.1111/j.1365-294X.2012.05478.x
   Landguth EL, 2010, MOL ECOL RESOUR, V10, P156, DOI 10.1111/j.1755-0998.2009.02719.x
   Lester SE, 2005, P ROY SOC B-BIOL SCI, V272, P585, DOI 10.1098/rspb.2004.2985
   Levin LA, 2006, INTEGR COMP BIOL, V46, P282, DOI 10.1093/icb/icj024
   LEVINS R, 1969, Bulletin of the Entomological Society of America, V15, P237
   Levins R., 1970, Some mathematical problems in biology, P77
   Metaxas A, 2001, CAN J FISH AQUAT SCI, V58, P86, DOI 10.1139/cjfas-58-1-86
   Narváez DA, 2012, J MAR RES, V70, P381, DOI 10.1357/002224012802851940
   Palumbi SR, 2003, ECOL APPL, V13, pS146
   Pannell JR, 2000, PHILOS T R SOC B, V355, P1851, DOI 10.1098/rstb.2000.0740
   Piggott MP, 2008, MAR ECOL PROG SER, V365, P127, DOI 10.3354/meps07478
   Pineda J, 1999, LIMNOL OCEANOGR, V44, P1400, DOI 10.4319/lo.1999.44.6.1400
   Pineda J, 2007, OCEANOGRAPHY, V20, P22, DOI 10.5670/oceanog.2007.27
   Powell E. N., 2011, 2011 STOCK ASS WORKS
   POWELL EN, 1985, PALAEONTOLOGY, V28, P1
   Powell EN, 2008, J SHELLFISH RES, V27, P729, DOI 10.2983/0730-8000(2008)27[729:LTIOPD]2.0.CO;2
   Powell EN, 2012, J MAR RES, V70, P469, DOI 10.1357/002224012802851904
   Powell EN, 2012, J MAR RES, V70, P309, DOI 10.1357/002224012802851896
   Powell EN, 2011, J SHELLFISH RES, V30, P685, DOI 10.2983/035.030.0310
   Powell EN, 2011, J SHELLFISH RES, V30, P403, DOI 10.2983/035.030.0228
   Powell EN, 2011, J THEOR BIOL, V271, P27, DOI 10.1016/j.jtbi.2010.11.006
   Powell EN, 2009, FISH B-NOAA, V107, P109
   Press W H., 1992, Numerical Recipes in C: The Art of Scientific Computing, V2nd edn
   Pujolar JM, 2011, MOL PHYLOGENET EVOL, V58, P198, DOI 10.1016/j.ympev.2010.11.019
   Rothschild BJ, 2004, PROG OCEANOGR, V60, P397, DOI 10.1016/j.pocean.2004.02.010
   SCHELTEMA RS, 1971, BIOL BULL-US, V140, P284, DOI 10.2307/1540075
   Shanks AL, 2003, ECOL APPL, V13, pS159
   Shanks AL, 2005, MAR ECOL PROG SER, V302, P1, DOI 10.3354/meps302001
   Shanks AL, 2009, BIOL BULL-US, V216, P373
   Shchepetkin AF, 2005, OCEAN MODEL, V9, P347, DOI 10.1016/j.ocemod.2004.08.002
   Siegel DA, 2003, MAR ECOL PROG SER, V260, P83, DOI 10.3354/meps260083
   Soletchnik P, 2007, AQUACULTURE, V271, P384, DOI 10.1016/j.aquaculture.2007.02.049
   STAUBER LA, 1950, ECOLOGY, V31, P109, DOI 10.2307/1931365
   STRATHMANN RR, 1990, AM ZOOL, V30, P197
   Swearer SE, 2002, B MAR SCI, V70, P251
   Toonen R. J., 2011, J MAR BIOL, P1
   Underwood AJ, 2001, MARINE COMMUNITY ECOLOGY, P183
   Wang YP, 2005, MAR BIOTECHNOL, V7, P207, DOI 10.1007/s10126-004-0051-y
   Wang Z, 2012, J MAR RES, V70, P279, DOI 10.1357/002224012802851931
   Wang ZP, 1999, AQUACULTURE, V173, P347, DOI 10.1016/S0044-8486(98)00457-8
   Weersing K, 2009, MAR ECOL PROG SER, V393, P1, DOI 10.3354/meps08287
   White C, 2010, P ROY SOC B-BIOL SCI, V277, P1685, DOI 10.1098/rspb.2009.2214
   WilsonOrmond EA, 1997, MAR ECOL-P S Z N I, V18, P1, DOI 10.1111/j.1439-0485.1997.tb00424.x
   WRIGHT S, 1951, ANN EUGENIC, V15, P323
   Yoo S. K., 1972, J KOR FISH SOC, V6, P65
NR 89
TC 29
Z9 33
U1 1
U2 56
PU SEARS FOUNDATION MARINE RESEARCH
PI NEW HAVEN
PA YALE UNIV, KLINE GEOLOGY LAB, 210 WHITNEY AVENUE, NEW HAVEN, CT
   06520-8109 USA
SN 0022-2402
EI 1543-9542
J9 J MAR RES
JI J. Mar. Res.
PD MAR-MAY
PY 2012
VL 70
IS 2-3
BP 441
EP 467
DI 10.1357/002224012802851869
PG 27
WC Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography
GA 010JF
UT WOS:000309090000010
DA 2025-01-10
ER

PT J
AU Smith, DR
   Jackson, NL
   Nordstrom, KF
   Weber, RG
AF Smith, D. R.
   Jackson, N. L.
   Nordstrom, K. F.
   Weber, R. G.
TI Beach characteristics mitigate effects of onshore wind on horseshoe crab
   spawning: implications for matching with shorebird migration in Delaware
   Bay
SO ANIMAL CONSERVATION
LA English
DT Article
DE Limulus polyphemus; migratory shorebirds; red knot; match-mismatch
   hypothesis; climate change; resilience
ID LIMULUS-POLYPHEMUS EGGS; RED KNOTS; SITE SELECTION; MANAGEMENT;
   STOPOVER; DISTURBANCE; ABUNDANCE; CLIMATE; CHOICE; AVAILABILITY
AB Disruption of food availability by unfavorable physical processes at energetically demanding times can limit recruitment of migratory species as predicted by the match-mismatch hypothesis. Identification and protection of disruption-resistant habitat could contribute to system resilience. For example, horseshoe crab Limulus polyphemus spawning and shorebird stopover must match temporally in Delaware Bay for eggs to be available to shorebirds. Onshore winds that generate waves can create a mismatch by delaying horseshoe crab spawning. We examined effects of beach characteristics and onshore winds on spawning activity at five beaches when water temperatures were otherwise consistent with early spawning activity. Onshore winds resulted in reduced spawning activity during the shorebird stopover, when spawning typically peaks in late May. During the period with high onshore wind, egg density was highest on the foreshore exposed to the lowest wave heights. Onshore wind was low in early June, and spawning and egg densities were high at all sites, but shorebirds had departed. Beaches that can serve as a refuge from wind and waves can be identified by physical characteristics and orientation to prevailing winds and should receive special conservation status, especially in light of predicted increases in climate change-induced storm frequency. These results point to a potential conservation strategy that includes coastal management for adapting to climate change-induced mismatch of migrations.
C1 [Smith, D. R.] US Geol Survey, Leetown Sci Ctr, Kearneysville, WV 25430 USA.
   [Jackson, N. L.] New Jersey Inst Technol, Dept Chem & Environm Sci, Newark, NJ 07102 USA.
   [Nordstrom, K. F.] Rutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08903 USA.
   [Weber, R. G.] Delaware Natl Estuarine Res Reserve, Dover, DE USA.
C3 United States Department of the Interior; United States Geological
   Survey; New Jersey Institute of Technology; Rutgers University System;
   Rutgers University New Brunswick
RP Smith, DR (corresponding author), US Geol Survey, Leetown Sci Ctr, 11649 Leetown Rd, Kearneysville, WV 25430 USA.
EM drsmith@usgs.gov
RI Smith, David/B-3507-2009
FU Delaware Department of Natural Resources; USGS
FX This work was funded by Delaware Department of Natural Resources and
   USGS State Partnership Program. It is a pleasure to acknowledge the
   careful assistance of Susan Love, Sharon Midcap and Heather Hudson in
   collecting samples, and especially in helping to separate and quantify
   the large quantities of extracted eggs. Their attention to details,
   coupled with their pleasant humor during the rigors of this study, made
   workdays pass more quickly. We thank Tony Pratt, Penelope Pooler, Stew
   Michels and Scott Fincham for technical and field assistance. Conor
   McGowan, Mary Mandt, Nathaniel Hitt and Nigel Clark provided helpful
   comments on an earlier draft.
CR Anderson Lyall I., 2003, P189
   [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   Atkinson PW, 2007, J APPL ECOL, V44, P885, DOI 10.1111/j.1365-2664.2007.01308.x
   Baker AJ, 2004, P ROY SOC B-BIOL SCI, V271, P875, DOI 10.1098/rspb.2003.2663
   BEERS TW, 1966, J FOREST, V64, P691
   Berkson J, 1999, FISHERIES, V24, P6, DOI 10.1577/1548-8446(1999)024<0006:THCTBF>2.0.CO;2
   Botton Mark L., 2003, P5
   BOTTON ML, 1987, BIOL BULL-US, V173, P289, DOI 10.2307/1541542
   BOTTON ML, 1994, AUK, V111, P605
   BOTTON ML, 1989, MAR BIOL, V101, P143, DOI 10.1007/BF00391453
   BOTTON ML, 1988, MAR BIOL, V99, P325, DOI 10.1007/BF02112124
   Brockmann H. Jane, 2003, P33
   Burger J, 2007, J COASTAL RES, V23, P1159, DOI 10.2112/04-0393.1
   CASTRO G, 1993, AUK, V110, P927, DOI 10.2307/4088650
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   CRESSWELL W, 1994, J ANIM ECOL, V63, P589, DOI 10.2307/5225
   Durant JM, 2005, ECOL LETT, V8, P952, DOI 10.1111/j.1461-0248.2005.00798.x
   Durant JM, 2007, CLIM RES, V33, P271, DOI 10.3354/cr033271
   FitzGerald DM, 2008, ANNU REV EARTH PL SC, V36, P601, DOI 10.1146/annurev.earth.35.031306.140139
   Frumhoff PC, 2007, CONFRONTING CLIMATE
   Galofre J, 2002, BEACH NOURISHMENT AN
   Gavaris S, 2009, FISH RES, V100, P6, DOI 10.1016/j.fishres.2008.12.001
   Haramis GM, 2007, J AVIAN BIOL, V38, P367, DOI 10.1111/j.2007.0908-8857.03898.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hipfner JM, 2008, MAR ECOL PROG SER, V368, P295, DOI 10.3354/meps07603
   Jackson NL, 2007, GEOMORPHOLOGY, V89, P172, DOI 10.1016/j.geomorph.2006.07.017
   Jackson NL, 2009, BIOLOGY AND CONSERVATION OF HORSESHOE CRABS, P399, DOI 10.1007/978-0-387-89959-6_25
   Jackson NL, 2005, SEDIMENTOLOGY, V52, P1097, DOI 10.1111/j.1365-3091.2005.00725.x
   JACKSON NL, 1995, ANN ASSOC AM GEOGR, V85, P21
   JACKSON NL, 1992, J COASTAL RES, V8, P88
   James SC, 2006, J COASTAL RES, V22, P1125, DOI 10.2112/05-0479.1
   Karpanty SM, 2006, J WILDLIFE MANAGE, V70, P1704, DOI 10.2193/0022-541X(2006)70[1704:HCEDRK]2.0.CO;2
   Lin WQ, 2002, CONT SHELF RES, V22, P2673, DOI 10.1016/S0278-4343(02)00120-6
   Mathot KJ, 2009, ANIM BEHAV, V77, P1179, DOI 10.1016/j.anbehav.2009.01.024
   McGowan CP, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00106.1
   McGowan CP, 2011, NAT RESOUR MODEL, V24, P117, DOI 10.1111/j.1939-7445.2010.00085.x
   McLeod E, 2009, FRONT ECOL ENVIRON, V7, P362, DOI 10.1890/070211
   Mizrahi DS, 2009, BIOLOGY AND CONSERVATION OF HORSESHOE CRABS, P65, DOI 10.1007/978-0-387-89959-6_4
   Nordstrom K.F., 1992, Estuarine Beaches
   NORDSTROM KF, 1992, Z GEOMORPHOL, V36, P465
   PBS& J Inc, 2010, MAN PLAN DEL BAY BEA
   PENN D, 1994, BIOL BULL, V187, P373, DOI 10.2307/1542294
   Pooler P.S, 2005, THESIS VIRGINIA TECH
   Rogers DI, 2006, BIOL CONSERV, V133, P225, DOI 10.1016/j.biocon.2006.06.007
   SHUSTER CN, 1985, ESTUARIES, V8, P363, DOI 10.2307/1351874
   Smith DR, 2007, ESTUAR COAST, V30, P287, DOI 10.1007/BF02700171
   Smith DR, 2006, FISHERIES, V31, P485, DOI 10.1577/1548-8446(2006)31[485:STE]2.0.CO;2
   Smith DR, 2010, CURR ZOOL, V56, P563, DOI 10.1093/czoolo/56.5.563
   Smith DR, 2009, BIOLOGY AND CONSERVATION OF HORSESHOE CRABS, P361, DOI 10.1007/978-0-387-89959-6_23
   Smith DR, 2006, FISH B-NOAA, V104, P456
   Smith DR, 2002, J COASTAL RES, V18, P730
   Smith DR, 2002, ESTUARIES, V25, P115, DOI 10.1007/BF02696055
   Swan BL, 2005, ESTUARIES, V28, P28, DOI 10.1007/BF02732751
   Taylor CM, 2007, ISR J ECOL EVOL, V53, P245, DOI 10.1560/IJEE.53.3.245
   Tsipoura N, 1999, CONDOR, V101, P635, DOI 10.2307/1370193
   Watson WH, 2009, BIOLOGY AND CONSERVATION OF HORSESHOE CRABS, P131, DOI 10.1007/978-0-387-89959-6_8
   Weber RG, 2009, BIOLOGY AND CONSERVATION OF HORSESHOE CRABS, P249, DOI 10.1007/978-0-387-89959-6_15
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
NR 58
TC 17
Z9 23
U1 0
U2 42
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1367-9430
EI 1469-1795
J9 ANIM CONSERV
JI Anim. Conserv.
PD OCT
PY 2011
VL 14
IS 5
BP 575
EP 584
DI 10.1111/j.1469-1795.2011.00481.x
PG 10
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 846JX
UT WOS:000296894900015
DA 2025-01-10
ER

PT J
AU Kendon, EJ
   Rowell, DP
   Jones, RG
   Buonomo, E
AF Kendon, Elizabeth J.
   Rowell, David P.
   Jones, Richard G.
   Buonomo, Erasmo
TI Robustness of future changes in local precipitation extremes
SO JOURNAL OF CLIMATE
LA English
DT Article
ID REGIONAL-CLIMATE-MODEL; EUROPE; RAINFALL; QUANTIFICATION; UNCERTAINTIES;
   TEMPERATURES; INTEGRATIONS; VARIABILITY; SIMULATIONS; ENSEMBLE
AB Reliable projections of future changes in local precipitation extremes are essential for informing policy decisions regarding mitigation and adaptation to climate change. In this paper, the extent to which the natural variability of the climate affects one's ability to project the anthropogenically forced component of change in daily precipitation extremes across Europe is examined. A three-member ensemble of the Hadley Centre Regional Climate Model (HadRM3H) is used and a statistical framework is applied to estimate the uncertainty due to the full spectrum of climate variability. In particular, the results and understanding presented here suggest that annual to multidecadal natural variability may contribute significant uncertainty. For this ensemble projection, extreme precipitation changes at the grid-box level are found to be discernible above climate noise over much of northern and central Europe in winter, and parts of northern and southern Europe in summer. The ability to quantify the change to a reasonable level of accuracy is largely limited to regions in northern Europe. In general, where climate noise has a significant component varying on decadal time scales, single 30-yr climate change projections are insufficient to infer changes in the extreme tail of the underlying precipitation distribution. In this context, the need for ensembles of integrations is demonstrated and the relative effectiveness of spatial pooling and averaging for generating robust signals of extreme precipitation change is also explored. The key conclusions are expected to apply more generally to other models and forcing scenarios.
C1 [Kendon, Elizabeth J.; Rowell, David P.; Buonomo, Erasmo] Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England.
   [Jones, Richard G.] Univ Reading, Met Off Hadley Ctr, Reading Unit, Reading, Berks, England.
C3 Met Office - UK; Hadley Centre; Met Office - UK; Hadley Centre;
   University of Reading
RP Kendon, EJ (corresponding author), Met Off Hadley Ctr, Fitzroy Rd, Exeter EX1 3PB, Devon, England.
EM elizabeth.kendon@metoffice.gov.uk
RI Rowell, David/AAF-3674-2019
OI Jones, Richard/0000-0002-0904-3141
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 2001, INTRO STAT MODELING
   Baede APM, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P85
   Buonomo E, 2007, Q J ROY METEOR SOC, V133, P65, DOI 10.1002/qj.13
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Déqué M, 2007, CLIMATIC CHANGE, V81, P53, DOI 10.1007/s10584-006-9228-x
   Durman CF, 2001, Q J ROY METEOR SOC, V127, P1005, DOI 10.1002/qj.49712757316
   Ekström M, 2005, J HYDROL, V300, P234, DOI 10.1016/j.jhydrol.2004.06.019
   Ferro CAT, 2005, J CLIMATE, V18, P4344, DOI 10.1175/JCLI3518.1
   Folland C, 2002, J CLIMATE, V15, P2954, DOI 10.1175/1520-0442(2002)015<2954:ECEUER>2.0.CO;2
   Fowler HJ, 2005, J HYDROL, V300, P212, DOI 10.1016/j.jhydrol.2004.06.017
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   HASSELMANN K, 1976, TELLUS, V28, P473, DOI 10.1111/j.2153-3490.1976.tb00696.x
   Huntingford C, 2003, Q J ROY METEOR SOC, V129, P1607, DOI 10.1256/qj.02.97
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676
   Jones PD, 2001, INT J CLIMATOL, V21, P1337, DOI 10.1002/joc.677
   Jones RG, 1997, Q J ROY METEOR SOC, V123, P265, DOI 10.1002/qj.49712353802
   JONES RG, 1995, Q J ROY METEOR SOC, V121, P1413, DOI 10.1256/smsqj.52609
   Kharin VV, 2000, J CLIMATE, V13, P3760, DOI 10.1175/1520-0442(2000)013<3760:CITEIA>2.0.CO;2
   Kharin VV, 2005, J CLIMATE, V18, P1156, DOI 10.1175/JCLI3320.1
   Kjellström E, 2005, NORD HYDROL, V36, P397
   Knight JR, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026242
   Mitchell JFB, 1999, CLIMATIC CHANGE, V41, P547, DOI 10.1023/A:1005466909820
   Mitchell TD, 2003, CLIMATIC CHANGE, V60, P217, DOI 10.1023/A:1026035305597
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Räisänen J, 2001, J CLIMATE, V14, P2088, DOI 10.1175/1520-0442(2001)014<2088:CICCIC>2.0.CO;2
   Räisänen J, 2001, TELLUS A, V53, P547, DOI 10.1034/j.1600-0870.2001.00262.x
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   Rowell DP, 1999, CLIM DYNAM, V15, P751, DOI 10.1007/s003820050314
   Rowell DP, 2005, CLIM DYNAM, V25, P837, DOI 10.1007/s00382-005-0068-6
   Scaife AA, 2008, J CLIMATE, V21, P72, DOI 10.1175/2007JCLI1631.1
   Sorteberg A, 2006, TELLUS A, V58, P565, DOI 10.1111/j.1600-0870.2006.00202.x
   von Stroch H., 1999, Statistical Analysis in Climate Research
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Zwiers FW, 1998, J CLIMATE, V11, P2200, DOI 10.1175/1520-0442(1998)011<2200:CITEOT>2.0.CO;2
NR 35
TC 117
Z9 130
U1 2
U2 29
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 0894-8755
EI 1520-0442
J9 J CLIMATE
JI J. Clim.
PD SEP
PY 2008
VL 21
IS 17
BP 4280
EP 4297
DI 10.1175/2008JCLI2082.1
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 345JC
UT WOS:000258991500008
OA hybrid
DA 2025-01-10
ER

PT J
AU Donthu, N
   Kumar, S
   Pattnaik, D
   Lim, WM
AF Donthu, Naveen
   Kumar, Satish
   Pattnaik, Debidutta
   Lim, Weng M.
TI A bibliometric retrospection of marketing from the lens of psychology:
   Insights from <i>Psychology & Marketing</i>
SO PSYCHOLOGY & MARKETING
LA English
DT Article
DE bibliometric; citations analysis; marketing; P&amp; M; psychology
ID GAMBLERS HARSH GAZE; CUSTOMER SATISFACTION; SUSTAINABLE CONSUMPTION;
   INTELLECTUAL STRUCTURE; LUXURY CONSUMPTION; CONSUMER; ONLINE; LOYALTY;
   MANAGEMENT; SERVICES
AB The contribution of psychology to marketing has been significant and invaluable. No discipline has benefitted from another as much as marketing from psychology. To gain an understanding of the scientific contributions emerging from the intersection of psychology and marketing, this study conducts a bibliometric retrospection of a premier journal dedicated to the application of psychological theories and techniques to marketing: Psychology & Marketing (P&M). To do so, this study employs bibliometrics to unpack the publication trends and the intellectual structure of P&M. In doing so, this study reveals several interesting findings. First, P&M's publications grew by 71.9 times, authorships grew by 82.1 times, and citations grew by 150.8 times between 1984 and 2020, indicating a healthy growth of marketing research informed by psychology. Second, P&M's contributions manifest through eight intellectual clusters-namely, marketing environment; consumer engagement; online consumer behavior and marketing; luxury consumption and marketing; sustainable consumption and marketing; influencer and international marketing; customer relationship, satisfaction, and loyalty; and marketing futures. Finally, P&M's emerging and promising areas for future exploration include aesthetics and consumer impressions; celebrity endorsement; conspicuous consumption and hedonic adaptation; climate change; choice likelihood; consumer engagement; consumer psychology; marketing communication; sensory marketing; sharing economy; and social media marketing. As a whole, these findings should provide readers with a state-of-the-art overview of marketing from psychology through the scientific contributions from P&M.
C1 [Donthu, Naveen] Georgia State Univ, J Mack Robinson Coll Business, Atlanta, GA 30303 USA.
   [Kumar, Satish; Pattnaik, Debidutta] Malaviya Natl Inst Technol Jaipur, Dept Management Studies, Jaipur, Rajasthan, India.
   [Lim, Weng M.] Swinburne Univ Technol, Sch Business, Sarawak, Malaysia.
C3 University System of Georgia; Georgia State University; National
   Institute of Technology (NIT System); Malaviya National Institute of
   Technology Jaipur; Swinburne University of Technology Sarawak; Swinburne
   University of Technology
RP Donthu, N (corresponding author), Georgia State Univ, J Mack Robinson Coll Business, Atlanta, GA 30303 USA.
EM ndonthu@gsu.edu
RI Lim, Weng Marc/I-1723-2019; Pattnaik, Debidutta/GWU-6164-2022; Kumar,
   Satish/M-8694-2017
OI Lim, Weng Marc/0000-0001-7196-1923; Kumar, Satish/0000-0001-5200-1476;
   Donthu, Naveen/0000-0002-8525-3159; Pattnaik,
   Debidutta/0000-0001-6180-0499
CR Acedo FJ, 2006, J MANAGE STUD, V43, P957, DOI 10.1111/j.1467-6486.2006.00625.x
   Rivera-Arrubla YA, 2016, PSYCHOL MARKET, V33, P1159, DOI 10.1002/mar.20953
   Alonso-Dos-Santos M, 2019, PSYCHOL MARKET, V36, P791, DOI 10.1002/mar.21212
   Alves H, 2016, PSYCHOL MARKET, V33, P1029, DOI 10.1002/mar.20936
   Andersen N, 2021, INT J HUM RESOUR MAN, V32, P4687, DOI 10.1080/09585192.2019.1661267
   Anderson RE, 2003, PSYCHOL MARKET, V20, P123, DOI 10.1002/mar.10063
   Ashley C, 2015, PSYCHOL MARKET, V32, P15, DOI 10.1002/mar.20761
   Baker HK, 2021, J CORP FINANC, V66, DOI 10.1016/j.jcorpfin.2020.101572
   Baker HK, 2020, REV FINANC ECON, V38, P3, DOI 10.1002/rfe.1095
   Balabanis G, 2019, PSYCHOL MARKET, V36, P342, DOI 10.1002/mar.21182
   Bang HK, 2000, PSYCHOL MARKET, V17, P449, DOI 10.1002/(SICI)1520-6793(200006)17:6<449::AID-MAR2>3.0.CO;2-8
   Beatly S. E, 1986, Psychology and Marketing, V2, P181, DOI [10.1002/mar.4220020305, DOI 10.1002/MAR.4220020305]
   Bellizzi JosephA., 1992, PSYCHOL MARKET, V9, P347, DOI DOI 10.1002/MAR.4220090502
   Bleier A, 2020, INT J RES MARK, V37, P466, DOI 10.1016/j.ijresmar.2020.03.006
   Börner K, 2003, ANNU REV INFORM SCI, V37, P179, DOI 10.1002/aris.1440370106
   Byington EK, 2019, J VOCAT BEHAV, V110, P229, DOI 10.1016/j.jvb.2018.07.007
   CALLON M, 1983, SOC SCI INFORM, V22, P191, DOI 10.1177/053901883022002003
   Chan RYK, 2001, PSYCHOL MARKET, V18, P389, DOI 10.1002/mar.1013
   Chang LC, 2002, PSYCHOL MARKET, V19, P389, DOI 10.1002/mar.10016
   Chen Z, 2003, PSYCHOL MARKET, V20, P323, DOI 10.1002/mar.10076
   Christensen GL, 2002, PSYCHOL MARKET, V19, P477, DOI 10.1002/mar.10021
   Cohen RJ, 1999, PSYCHOL MARKET, V16, P351, DOI 10.1002/(SICI)1520-6793(199907)16:4<351::AID-MAR5>3.0.CO;2-S
   Cohen RJ, 2020, PSYCHOL MARKET, V37, P1143, DOI 10.1002/mar.21388
   Davenport T, 2020, J ACAD MARKET SCI, V48, P24, DOI 10.1007/s11747-019-00696-0
   Donthu N, 2021, INT J RES MARK, V38, P232, DOI 10.1016/j.ijresmar.2020.10.006
   Donthu N, 2022, J SERV RES-US, V25, P187, DOI 10.1177/1094670520977672
   Dowling G.R., 1986, PSYCHOL MARK, V3, P193, DOI DOI 10.1002/MAR.4220030307
   Eroglu SA, 2003, PSYCHOL MARKET, V20, P139, DOI 10.1002/mar.10064
   Fastoso F, 2018, PSYCHOL MARKET, V35, P522, DOI 10.1002/mar.21103
   Fiore AM, 2005, PSYCHOL MARKET, V22, P669, DOI 10.1002/mar.20079
   Fisher RJ, 1998, PSYCHOL MARKET, V15, P23, DOI 10.1002/(SICI)1520-6793(199801)15:1<23::AID-MAR3>3.3.CO;2-W
   González-Benito O, 2014, PSYCHOL MARKET, V31, P115, DOI 10.1002/mar.20680
   Guiot D, 2019, PSYCHOL MARKET, V36, P618, DOI 10.1002/mar.21200
   Hastings G, 2004, PSYCHOL MARKET, V21, P961, DOI 10.1002/mar.20043
   Hennig-Thurau T, 1997, PSYCHOL MARKET, V14, P737, DOI 10.1002/(SICI)1520-6793(199712)14:8<737::AID-MAR2>3.0.CO;2-F
   Hess David., 1997, SCI STUDIES ADV INTR
   Homburg C, 2001, PSYCHOL MARKET, V18, P43, DOI 10.1002/1520-6793(200101)18:1<43::AID-MAR3>3.0.CO;2-I
   Huang JH, 2006, PSYCHOL MARKET, V23, P413, DOI 10.1002/mar.20119
   Huber F, 2018, PSYCHOL MARKET, V35, P47, DOI 10.1002/mar.21070
   Hultman M, 2019, PSYCHOL MARKET, V36, P1226, DOI 10.1002/mar.21271
   KAMINS MA, 1994, PSYCHOL MARKET, V11, P569, DOI 10.1002/mar.4220110605
   KESSLER MM, 1963, AM DOC, V14, P10, DOI 10.1002/asi.5090140103
   Khan MA, 2020, PSYCHOL MARKET, V37, P1144, DOI 10.1002/mar.21393
   Kim D, 1998, PSYCHOL MARKET, V15, P507, DOI 10.1002/(SICI)1520-6793(199809)15:6<507::AID-MAR2>3.0.CO;2-A
   King MF, 2000, PSYCHOL MARKET, V17, P79, DOI 10.1002/(SICI)1520-6793(200002)17:2<79::AID-MAR2>3.0.CO;2-0
   Kuanr A, 2020, PSYCHOL MARKET, V37, P260, DOI 10.1002/mar.21305
   Kumar A, 2020, J BUS RES, V113, P384, DOI 10.1016/j.jbusres.2019.09.030
   Kumar S, 2021, ELECTRON COMMER RES, V21, P1, DOI 10.1007/s10660-021-09464-1
   Lackman Conway., 1993, PSYCHOL MARKETING, V10, P81, DOI DOI 10.1002/MAR.4220100203
   Lafferty BA, 2004, PSYCHOL MARKET, V21, P509, DOI 10.1002/mar.20017
   Lee BK, 2004, PSYCHOL MARKET, V21, P159, DOI 10.1002/mar.20000
   Lewnes A, 2021, J MARKETING, V85, P64, DOI 10.1177/0022242920972022
   Lim W M., 2021, Journal of Strategic Marketing, P1
   Lim WM, 2021, J BUS RES, V122, P534, DOI 10.1016/j.jbusres.2020.08.051
   Lim WM, 2020, MARK INTELL PLAN, V38, P369, DOI 10.1108/MIP-09-2018-0401
   Lim WM, 2017, J BUS RES, V78, P69, DOI 10.1016/j.jbusres.2017.05.001
   Lim WM, 2016, MARKETING THEOR, V16, P232, DOI 10.1177/1470593115609796
   Lin CH, 2007, PSYCHOL MARKET, V24, P641, DOI 10.1002/mar.20177
   Lo CJ, 2019, PSYCHOL MARKET, V36, P1215, DOI 10.1002/mar.21270
   LYNCH J, 1994, PSYCHOL MARKET, V11, P417, DOI 10.1002/mar.4220110502
   Lynn Michael., 1991, Psychology Marketing, V8, P43, DOI [DOI 10.1002/MAR.4220080105, 10.1002/mar.4220080105]
   Madrigal R, 2001, PSYCHOL MARKET, V18, P145, DOI 10.1002/1520-6793(200102)18:2<145::AID-MAR1003>3.0.CO;2-T
   Majid S, 2019, PSYCHOL MARKET, V36, P551, DOI 10.1002/mar.21196
   Martínez-López FJ, 2018, EUR J MARKETING, V52, P439, DOI 10.1108/EJM-11-2017-0853
   Cunill OM, 2019, INT J HOSP MANAG, V78, P89, DOI 10.1016/j.ijhm.2018.10.013
   Meenaghan T, 2001, PSYCHOL MARKET, V18, P95, DOI 10.1002/1520-6793(200102)18:2<95::AID-MAR1001>3.0.CO;2-H
   Meyer F, 2019, PSYCHOL MARKET, V36, P321, DOI 10.1002/mar.21181
   MITTAL B, 1995, PSYCHOL MARKET, V12, P663, DOI 10.1002/mar.4220120708
   Mittal B., 1989, Psychology and Marketing, V6, P147, DOI DOI 10.1002/MAR.4220060206
   Nerur SP, 2008, STRATEG MANAGE J, V29, P319, DOI 10.1002/smj.659
   Nevid J., 1984, PSYCHOL MARKET, V1, P5, DOI [DOI 10.1002/MAR.4220010203/ABSTRACT, DOI 10.1002/MAR.4220010203]
   Noh B, 2015, PSYCHOL MARKET, V32, P1049, DOI 10.1002/mar.20843
   Peterson RA, 2003, PSYCHOL MARKET, V20, P99, DOI 10.1002/mar.10062
   Prentice C, 2022, INT J CONSUM STUD, V46, P132, DOI 10.1111/ijcs.12649
   Prentice C, 2013, PSYCHOL MARKET, V30, P1108, DOI 10.1002/mar.20670
   Puccinelli NM, 2010, PSYCHOL MARKET, V27, P964, DOI 10.1002/mar.20368
   Rey-Moreno M, 2016, PSYCHOL MARKET, V33, P1151, DOI 10.1002/mar.20952
   Rosenthal R., 2014, 5 PSYCHOL TACTICS MA
   Schimmelpfennig C, 2020, PSYCHOL MARKET, V37, P488, DOI 10.1002/mar.21315
   Schmitt AK, 2017, PSYCHOL MARKET, V34, P323, DOI 10.1002/mar.20991
   Shaw D, 2002, PSYCHOL MARKET, V19, P167, DOI 10.1002/mar.10008
   Sheng XJ, 2019, PSYCHOL MARKET, V36, P659, DOI 10.1002/mar.21203
   Sherman E, 1997, PSYCHOL MARKET, V14, P361, DOI 10.1002/(SICI)1520-6793(199707)14:4<361::AID-MAR4>3.0.CO;2-7
   Shiu EMK, 2011, PSYCHOL MARKET, V28, P584, DOI 10.1002/mar.20402
   Smith JB, 1998, PSYCHOL MARKET, V15, P3, DOI 10.1002/(SICI)1520-6793(199801)15:1<3::AID-MAR2>3.0.CO;2-I
   Swinyard WR, 2003, PSYCHOL MARKET, V20, P567, DOI 10.1002/mar.10087
   Tanner C, 2003, PSYCHOL MARKET, V20, P883, DOI 10.1002/mar.10101
   Wakefield KL, 1999, PSYCHOL MARKET, V16, P51, DOI 10.1002/(SICI)1520-6793(199901)16:1<51::AID-MAR4>3.0.CO;2-0
   Wiedmann KP, 2009, PSYCHOL MARKET, V26, P625, DOI 10.1002/mar.20292
   Wong NY, 1998, PSYCHOL MARKET, V15, P423, DOI 10.1002/(SICI)1520-6793(199808)15:5<423::AID-MAR2>3.0.CO;2-9
   Woodside AG, 2015, PSYCHOL MARKET, V32, P65, DOI 10.1002/mar.20763
   Woodside AG, 2013, PSYCHOL MARKET, V30, P263, DOI 10.1002/mar.20603
   Yang ZL, 2004, PSYCHOL MARKET, V21, P799, DOI 10.1002/mar.20030
   Yi YJ, 2004, PSYCHOL MARKET, V21, P351, DOI 10.1002/mar.20009
   Yun JT, 2019, PSYCHOL MARKET, V36, P989, DOI 10.1002/mar.21250
   Zavestoski S, 2002, PSYCHOL MARKET, V19, P121, DOI 10.1002/mar.10005
   Zhang JZ, 2018, PSYCHOL MARKET, V35, P957, DOI 10.1002/mar.21148
NR 97
TC 135
Z9 136
U1 59
U2 402
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0742-6046
EI 1520-6793
J9 PSYCHOL MARKET
JI Psychol. Mark.
PD MAY
PY 2021
VL 38
IS 5
BP 834
EP 865
DI 10.1002/mar.21472
EA MAR 2021
PG 32
WC Business; Psychology, Applied
WE Social Science Citation Index (SSCI)
SC Business & Economics; Psychology
GA RI3YJ
UT WOS:000627012100001
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Choe, H
   Thorne, JH
AF Choe, Hyeyeong
   Thorne, James H.
TI Climate exposure of East Asian temperate forests suggests transboundary
   climate adaptation strategies are needed
SO CLIMATIC CHANGE
LA English
DT Article
ID SPECIES DISTRIBUTION MODELS; CONSERVATION; BIODIVERSITY; SHIFTS; TREES;
   VULNERABILITY; MANAGEMENT; PHENOLOGY; SCIENCE; FUTURE
AB The impacts of climate change traverse administrative borders, which calls for new strategies for forest ecosystem conservation and adaptive management. Despite relatively high biodiversity, the temperate forests in East Asia have lacked a comprehensive regional evaluation of potential climate change impacts. Here, we assess the level of climate change exposure of the Temperate Broadleaf and Mixed Forests Biome of East Asia by 2070. These temperate forests occupy 18 ecoregions, five countries, and 102 provinces. We categorize climate change exposure by classifying baseline (1960-1990) climate conditions for the current geographic distribution of five temperate forest types within each ecoregion and within the biome. We then measure the level of change under four future climates: a warmer or a hotter future climate and under reduced emissions (RCP4.5) or with emissions continuing unabated (RCP8.5). By 2070, using the RCP8.5 emission scenario, 24.5-65.7% of these forests enter non-analog or the most marginal 1% of baseline climate conditions. These results reveal the need for extensive transboundary governmental coordination, including forest preservation actions among 51 of 54 provinces that will retain some forest locations in climatically stable or low-risk conditions. Furthermore, among 96 provinces with forests that will be highly exposed, 90 will require transboundary climate change adaptation strategies because these forests span their borders, including the border areas of China, the Russian Federation, and North Korea. The analytical approach of this study could serve as a template for supporting transboundary institutional coordination to address climate change.
C1 [Choe, Hyeyeong] Kangwon Natl Univ, Dept Ecol Landscape Architecture Design, Chunchon 24341, Gangwon Do, South Korea.
   [Thorne, James H.] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
C3 Kangwon National University; University of California System; University
   of California Davis
RP Choe, H (corresponding author), Kangwon Natl Univ, Dept Ecol Landscape Architecture Design, Chunchon 24341, Gangwon Do, South Korea.
EM hychoe@kangwon.ac.kr
OI Choe, Hyeyeong/0000-0003-2130-1622
FU National Research Foundation of Korea (NRF) - Korean government (MSIT)
   [2019R1G1A1005770]
FX We appreciate the global data depositories for public use including the
   World Wildlife Fund, USGS Land Cover Institute, WorldClim, and Natural
   Earth. We thank Professor James F. Quinn for providing lab and computing
   facilities and Professor Mark W. Schwartz for comments on the
   manuscript. This work was supported by the National Research Foundation
   of Korea (NRF) grant funded by the Korean government (MSIT) (No.
   2019R1G1A1005770).
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   [Anonymous], 2015, ARCGIS REL 10 3 1
   [Anonymous], 2011, Principles of terrestrial ecosystem ecology
   [Anonymous], 1984, Bulletin of the Institute of Environmental Science and Technology, Yokohama National University
   Aubin I, 2016, ENVIRON REV, V24, P164, DOI 10.1139/er-2015-0072
   Bailey R.G., 2014, ECOREGIONS ECOSYSTEM
   Benzie Magnus, 2017, IMPLICATIONS EU CROS
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bower AD, 2014, ECOL APPL, V24, P913, DOI 10.1890/13-0285.1
   Braack Leo., 2006, SECURITY CONSIDERATI
   Broxton PD, 2014, J APPL METEOROL CLIM, V53, P1593, DOI 10.1175/JAMC-D-13-0270.1
   Choe H, 2017, APPL SCI CONVERG TEC, V26, P114, DOI 10.5757/ASCT.2017.26.5.114
   Choe H, 2019, ECOL EVOL, V9, P1353, DOI 10.1002/ece3.4851
   Choe H, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190754
   Choe H, 2017, J APPL ECOL, V54, P1742, DOI 10.1111/1365-2664.12865
   Choe H, 2017, FORESTS, V8, DOI 10.3390/f8090321
   Choe H, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149511
   Chuine I, 2001, ECOL LETT, V4, P500, DOI 10.1046/j.1461-0248.2001.00261.x
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Ellison D, 2017, GLOBAL ENVIRON CHANG, V43, P51, DOI 10.1016/j.gloenvcha.2017.01.002
   Enquist CAF, 2017, FRONT ECOL ENVIRON, V15, P541, DOI 10.1002/fee.1733
   Favero A, 2017, CLIMATIC CHANGE, V144, P195, DOI 10.1007/s10584-017-2034-9
   Fitzpatrick MC, 2018, GLOBAL CHANGE BIOL, V24, P3575, DOI 10.1111/gcb.14138
   Gavin DG, 2014, NEW PHYTOL, V204, P37, DOI 10.1111/nph.12929
   Gonzalez P, 2010, GLOBAL ECOL BIOGEOGR, V19, P755, DOI 10.1111/j.1466-8238.2010.00558.x
   Hannah L, 2010, CONSERV BIOL, V24, P70, DOI 10.1111/j.1523-1739.2009.01405.x
   HANNINEN H, 1995, CAN J BOT, V73, P183, DOI 10.1139/b95-022
   Higuchi H, 2009, BIOL CONSERV, V142, P1881, DOI 10.1016/j.biocon.2009.03.011
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Kim KC, 1997, SCIENCE, V278, P242, DOI 10.1126/science.278.5336.242
   Kucharik CJ, 2006, ECOL MODEL, V196, P1, DOI 10.1016/j.ecolmodel.2005.11.031
   Lee D, 2015, KOREAN CLIMATE CHANG
   Lenoir J, 2015, ECOGRAPHY, V38, P15, DOI 10.1111/ecog.00967
   Li TA, 2010, LANDSCAPE ECOL, V25, P839, DOI 10.1007/s10980-010-9461-6
   Liu JG, 2008, SCIENCE, V319, P37, DOI 10.1126/science.1150416
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   McDowell G, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/033001
   Mcneely JA, 2009, CONSERV BIOL, V23, P805, DOI 10.1111/j.1523-1739.2009.01284.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Mongolian National Commission for UNESCO, 2015, 13 M UNESCO MAB E AS
   Morelli TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159909
   Morita K, 2018, FOREST POLICY ECON, V87, P59, DOI 10.1016/j.forpol.2017.10.013
   Nymark A, 2002, CANADA US LAW J, V28, P27
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Park C, 2016, CLIM DYNAM, V46, P2469, DOI 10.1007/s00382-015-2713-z
   Payn T, 2015, FOREST ECOL MANAG, V352, P57, DOI 10.1016/j.foreco.2015.06.021
   Sandwith T, 2005, ENV CHANG SEC PROGR
   Scherrer D, 2017, DIVERS DISTRIB, V23, P517, DOI 10.1111/ddi.12548
   Tang LN, 2010, BIOL CONSERV, V143, P1295, DOI 10.1016/j.biocon.2010.01.024
   Tang ZY, 2006, FRONT ECOL ENVIRON, V4, P347, DOI 10.1890/1540-9295(2006)004[0347:BICM]2.0.CO;2
   The Government of Japan, 2013, JAP 6 NAT COMM UN FR
   Thom D, 2017, J APPL ECOL, V54, P28, DOI 10.1111/1365-2664.12644
   Thorne JH, 2018, CLIMATIC CHANGE, V148, P387, DOI 10.1007/s10584-017-2010-4
   Thorne JH, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.2021
   Thorne JamesH., 2016, A climate change vulnerability assessment of Californias terrestrial vegetation
   van der Linde H., 2001, Beyond Boundaries: Transboundary Natural Resource Management in Sub-Saharan Africa
   Wall TU, 2017, FRONT ECOL ENVIRON, V15, P551, DOI 10.1002/fee.1735
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Williams JN, 2018, J BIOGEOGR, V45, P2361, DOI 10.1111/jbi.13413
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Yin YH, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-017-18798-6
NR 64
TC 8
Z9 8
U1 0
U2 27
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD SEP
PY 2019
VL 156
IS 1-2
BP 51
EP 67
DI 10.1007/s10584-019-02493-8
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA JG3QB
UT WOS:000491987900004
DA 2025-01-10
ER

PT J
AU D'Aloia, CC
   Naujokaitis-Lewis, I
   Blackford, C
   Chu, C
   Curtis, JMR
   Darling, E
   Guichard, F
   Leroux, SJ
   Martensen, AC
   Rayfield, B
   Sunday, JM
   Xuereb, A
   Fortin, MJ
AF D'Aloia, Cassidy C.
   Naujokaitis-Lewis, Ilona
   Blackford, Christopher
   Chu, Cindy
   Curtis, Janelle M. R.
   Darling, Emily
   Guichard, Frederic
   Leroux, Shawn J.
   Martensen, Alexandre C.
   Rayfield, Bronwyn
   Sunday, Jennifer M.
   Xuereb, Amanda
   Fortin, Marie-Josee
TI Coupled Networks of Permanent Protected Areas and Dynamic Conservation
   Areas for Biodiversity Conservation Under Climate Change
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE dynamic management; spatial ecology; protected area; conservation
   planning; climate change adaptation; temporary conservation
ID CHANGE ADAPTATION STRATEGIES; CONNECTIVITY; MANAGEMENT; HABITAT; POLICY;
   TIME
AB The complexity of climate change impacts on ecological processes necessitates flexible and adaptive conservation strategies that cross traditional disciplines. Current strategies involving protected areas are predominantly fixed in space, and may on their own be inadequate under climate change. Here, we propose a novel approach to climate adaptation that combines permanent protected areas with temporary conservation areas to create flexible networks. Previous work has tended to consider permanent and dynamic protection as separate actions, but their integration could draw on the strengths of both approaches to improve biodiversity conservation and help manage for ecological uncertainty in the coming decades. As there are often time lags in the establishment of new permanent protected areas, the inclusion of dynamic conservation areas within permanent networks could provide critical transient protection to mitigate land-use changes and biodiversity redistributions. This integrated approach may be particularly useful in highly human-modified and fragmented landscapes where areas of conservation value are limited and long-term place-based protection is unfeasible. To determine when such an approach may be feasible, we propose the use of a decision framework. Under certain scenarios, these coupled networks have the potential to increase spatio-temporal network connectivity and help maintain biodiversity and ecological processes under climate change. Implementing these networks would require multidisciplinary scientific evidence, new policies, creative funding solutions, and broader acceptance of a dynamic approach to biodiversity conservation.
C1 [D'Aloia, Cassidy C.] Univ New Brunswick, Dept Biol Sci, St John, NB, Canada.
   [D'Aloia, Cassidy C.; Blackford, Christopher; Darling, Emily; Xuereb, Amanda; Fortin, Marie-Josee] Univ Toronto, Dept Ecol Evolutionary Biol, Toronto, ON, Canada.
   [Naujokaitis-Lewis, Ilona] Carleton Univ, Environm & Climate Change Canada, Natl Wildlife Res Ctr, Ottawa, ON, Canada.
   [Chu, Cindy] Ontario Minist Nat Resources & Forestry, Aquat Res & Monitoring Sect, Peterborough, ON, Canada.
   [Curtis, Janelle M. R.] Fisheries & Oceans Canada, Pacific Biol Stn, Nanaimo, BC, Canada.
   [Darling, Emily] Wildlife Conservat Soc, Marine Program, Bronx, NY USA.
   [Guichard, Frederic; Sunday, Jennifer M.] McGill Univ, Dept Biol, Montreal, PQ, Canada.
   [Leroux, Shawn J.] Mem Univ, Dept Biol, St John, NF, Canada.
   [Martensen, Alexandre C.] Univ Fed Sao Carlos, Ctr Ciencias Nat, Sao Carlos, SP, Brazil.
   [Rayfield, Bronwyn] Univ Quebec Outaouais, Inst Sci Foret Temperee, Dept Sci Nat, Ripon, PQ, Canada.
   [Rayfield, Bronwyn] Apex Resource Management Solut Ltd, Ottawa, ON, Canada.
C3 University of New Brunswick; University of Toronto; Carleton University;
   Environment & Climate Change Canada; Canadian Wildlife Service; National
   Wildlife Research Centre - Canada; Ministry of Natural Resources &
   Forestry; Fisheries & Oceans Canada; Wildlife Conservation Society;
   McGill University; Memorial University Newfoundland; Universidade
   Federal de Sao Carlos; University of Quebec; University Quebec Outaouais
RP D'Aloia, CC (corresponding author), Univ New Brunswick, Dept Biol Sci, St John, NB, Canada.; D'Aloia, CC (corresponding author), Univ Toronto, Dept Ecol Evolutionary Biol, Toronto, ON, Canada.
EM cdaloia@unb.ca
RI Sunday, Jennifer/ABE-7396-2020; Rayfield, Bronwyn/ABB-8306-2021; Leroux,
   Shawn/AAY-9390-2020; Chu, C/C-9091-2009; Martensen, Alexandre
   Camargo/H-3180-2012
OI Chu, Cindy/0000-0002-1914-3218; Martensen, Alexandre
   Camargo/0000-0001-9017-7480
FU Canadian Institute of Ecology and Evolution
FX This work was funded by the Canadian Institute of Ecology and Evolution
   through a working group grant to CD, IN-L, and M-JF.
CR Alagador D, 2014, J APPL ECOL, V51, P703, DOI 10.1111/1365-2664.12230
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Armstrong Ted (E.R.), 2012, Rangifer, V32, P145
   Beckage B, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00211.1
   Bengtsson J, 2003, AMBIO, V32, P389, DOI 10.1639/0044-7447(2003)032[0389:RRADL]2.0.CO;2
   Bull JW, 2013, FRONT ECOL ENVIRON, V11, P203, DOI 10.1890/120020
   Cumming SG, 1996, ECOGRAPHY, V19, P162, DOI 10.1111/j.1600-0587.1996.tb00166.x
   Daigle RM, 2018, OPERATIONALIZING ECO, DOI DOI 10.1101/
   Environment Conservation Council, 2000, MAR COAST EST INV FI
   Fischer J, 2012, CONSERV LETT, V5, P167, DOI 10.1111/j.1755-263X.2012.00227.x
   Fitzsimons JA, 2005, AUST GEOGR, V36, P75, DOI 10.1080/00049180500050904
   Fordham DA, 2013, ECOGRAPHY, V36, P956, DOI 10.1111/j.1600-0587.2013.00147.x
   Fuller RA, 2010, NATURE, V466, P365, DOI 10.1038/nature09180
   Game ET, 2009, ECOL LETT, V12, P1336, DOI 10.1111/j.1461-0248.2009.01384.x
   Gerber LR, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00336.1
   Golet GH, 2018, ECOL APPL, V28, P409, DOI 10.1002/eap.1658
   Guichard F, 2004, BIOSCIENCE, V54, P1003, DOI 10.1641/0006-3568(2004)054[1003:TADMAT]2.0.CO;2
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hansen AJ, 2007, ECOL APPL, V17, P974, DOI 10.1890/05-1098
   Hill JK, 2011, ANNU REV ENTOMOL, V56, P143, DOI 10.1146/annurev-ento-120709-144746
   Hobday AJ, 2010, FISH OCEANOGR, V19, P243, DOI 10.1111/j.1365-2419.2010.00540.x
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Hussey NE, 2015, SCIENCE, V348, DOI 10.1126/science.1255642
   Johnson C. A., 2017, KNOWLEDGE ASSESSMENT
   Jones KR, 2016, BIOL CONSERV, V194, P121, DOI 10.1016/j.biocon.2015.12.008
   Kattwinkel M, 2011, BIOL CONSERV, V144, P2335, DOI 10.1016/j.biocon.2011.06.012
   Kays R, 2015, SCIENCE, V348, DOI 10.1126/science.aaa2478
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Kininmonth S, 2010, MAR ECOL PROG SER, V417, P139, DOI 10.3354/meps08779
   Knight AT, 2006, CONSERV BIOL, V20, P408, DOI 10.1111/j.1523-1739.2006.00305.x
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Lewison RL, 2015, BIOSCIENCE, V65, P486, DOI 10.1093/biosci/biv018
   Martensen AC, 2017, METHODS ECOL EVOL, V8, P1253, DOI 10.1111/2041-210X.12799
   Mascia MB, 2011, CONSERV LETT, V4, P9, DOI 10.1111/j.1755-263X.2010.00147.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McIntosh EJ, 2017, ANNU REV ENV RESOUR, V42, P677, DOI 10.1146/annurev-environ-102016-060902
   McLeod E, 2009, FRONT ECOL ENVIRON, V7, P362, DOI 10.1890/070211
   Mills M, 2015, BIOL CONSERV, V181, P54, DOI 10.1016/j.biocon.2014.10.028
   Moilanen A, 2014, BIOL CONSERV, V170, P188, DOI 10.1016/j.biocon.2014.01.001
   Mouquet N, 2015, J APPL ECOL, V52, P1293, DOI 10.1111/1365-2664.12482
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   Rayfield B, 2008, BIOL CONSERV, V141, P438, DOI 10.1016/j.biocon.2007.10.013
   Reynolds MD, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700707
   Runge CA, 2014, FRONT ECOL ENVIRON, V12, P395, DOI 10.1890/130237
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Schindler DE, 2015, SCIENCE, V347, P953, DOI 10.1126/science.1261824
   Spiecker B, 2016, ECOL APPL, V26, P264, DOI 10.1890/15-0478
   Stapleton S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101513
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Thomas CD, 2015, BIOL J LINN SOC, V115, P718, DOI 10.1111/bij.12510
   Thompson PL, 2017, ECOGRAPHY, V40, P98, DOI 10.1111/ecog.02558
   Tingley MW, 2014, ANN NY ACAD SCI, V1322, P92, DOI 10.1111/nyas.12484
   Tommasi D, 2017, PROG OCEANOGR, V152, P15, DOI 10.1016/j.pocean.2016.12.011
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Watson JR, 2012, AM NAT, V180, P99, DOI 10.1086/665992
   Whiteley AR, 2015, TRENDS ECOL EVOL, V30, P42, DOI 10.1016/j.tree.2014.10.009
   Worboys G., 2010, Connectivity conservation management: a global guide
   Worboys G.L., 2016, ADV DRAFT AREA CONNE
NR 59
TC 63
Z9 69
U1 5
U2 64
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD FEB 14
PY 2019
VL 7
AR 27
DI 10.3389/fevo.2019.00027
PG 8
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HX4UJ
UT WOS:000467395700001
OA gold
DA 2025-01-10
ER

PT J
AU Upton, E
   Nielsen-Pincus, M
AF Upton, Erin
   Nielsen-Pincus, Max
TI Climate Change and Water Governance: Decision Making for Individual
   Vineyard Owners in Global Wine Regions
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE climate change adaptation; water governance; decision making; wine
   regions; resilience
ID CHANGE ADAPTATION; POLICY; FRAMEWORK; VULNERABILITY; SCIENCE;
   AGRICULTURE; UNCERTAINTY; VITICULTURE; CHALLENGES; INDUSTRY
AB This study investigates the institutional, social, and ecological dynamics that influence regional water governance and individual vineyard owners' decision making in global wine regions. Global wine grape production has grown steadily over the past 20 years, and climate change has emerged as a driver of transformation in wine regions resulting in a range of impacts. Changes to the climate are anticipated to accelerate in the future and present a number of challenges for wine regions; including risks to human systems, e.g., agriculture, labor, and economics, as well as ecological systems, e.g., surface and groundwater. Water is a critical resource for environmental and economic sustainability in wine regions, and vulnerability to freshwater resources in wine producing regions is expected to increase as wine regions experience climate extremes like heat and drought. We use the Institutional-Social-Ecological Dynamics (ISED) framework to help understand individual vineyard owner decision making about water management within the context of institutional, social, and ecological systems. We ask how the relationships between these systems impact outcomes for individual grape farmers adapting to climate challenges. Our empirical research uses document review and interviews with vineyard owners, planners, and natural resource managers in wine regions in Oregon, USA and Tasmania, Australia as a means to explore climate vulnerabilities and adaptation approaches. Subsequently we focus on an example vignette in each region to better understand individual decision making at the farm scale within the unique institutional, social, and ecological contexts identified in each region. Our cases highlight the finding that entrenched institutional regimes, in the context of ecological variability contribute to a social unevenness in access to water. Landowner conflict over water resources is likely to increase in the context of a hotter, drier climate in regions with wine industry growth. Individual vineyard owners have a range of attitudes and approaches to climate change planning and management; and adaptation around water is dependent on both economic resources and social values. Lessons from the individual farm scale help to inform broader implications of how institutional, social, and ecological drivers influence opportunities or barriers to the implementation of climate change adaptation practices in wine regions.
C1 [Upton, Erin; Nielsen-Pincus, Max] Portland State Univ, Dept Environm Sci & Management, Portland, OR 97201 USA.
C3 Portland State University
RP Upton, E (corresponding author), Portland State Univ, Dept Environm Sci & Management, Portland, OR 97201 USA.
EM eupton@pdx.edu
RI Nielsen-Pincus, Max/E-8278-2018
FU National Science Foundation IGERT Grant [0966376]; Oregon Sasakawa Young
   Leaders' Fellowship Fund of the Tokyo Foundation for Policy Research
FX This material was based on work supported by National Science Foundation
   IGERT Grant #0966376: Sustaining Ecosystem Services to Support Rapidly
   Urbanizing Areas, and the Oregon Sasakawa Young Leaders' Fellowship Fund
   of the Tokyo Foundation for Policy Research.
CR [Anonymous], 2010, Climate Futures for Tasmania extreme events: the summary
   [Anonymous], 2009, Willamette Basin Rivers and Streams Assessment
   Arnold C., 2004, Wyoming Law Review, V4, P1
   Arnold C.A., 2014, Idaho L. Rev, V51, P29
   Arnold CA, 2017, ECOL SOC, V22, DOI 10.5751/ES-09734-220414
   Ascough JC, 2008, ECOL MODEL, V219, P383, DOI 10.1016/j.ecolmodel.2008.07.015
   Atkinson R., 2004, ENCY SOCIAL SCI RES, P1044, DOI DOI 10.4135/9781412950589.N931
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Bennett JC., 2010, Climate Futures for Tasmania: water and catchments technical report, Antarctic Climate and Ecosystems
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Berry PM, 2006, ENVIRON SCI POLICY, V9, P189, DOI 10.1016/j.envsci.2005.11.004
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Cardell MF, 2019, REG ENVIRON CHANGE, V19, P2299, DOI 10.1007/s10113-019-01502-x
   Comandaru IM, 2012, ENVIRON ENG MANAG J, V11, P533
   Conradie A, 2014, S AFR J ENOL VITIC, V35, P10
   Deitch MJ, 2009, RIVER RES APPL, V25, P118, DOI 10.1002/rra.1100
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Denzin N. K., 2011, SAGE HDB QUALITATIVE
   DPIPWE, 2020, TASM GOV DEP PRIM IN
   Dunham JB, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1291
   Ecos, 2013, AUSTR WIN PROD LEAD
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Forbes S.L., 2013, Wine Economics and Policy, V2, P11, DOI [DOI 10.1016/J.WEP.2013.02.001, 10.1016/j.wep.2013.02.001]
   Fox-Hughes P., 2015, CLIMATE FUTURES TASM
   Fraga H, 2018, AGR WATER MANAGE, V196, P66, DOI 10.1016/j.agwat.2017.10.023
   Furer D., 2006, WHY WINE IND SHOULD
   Gosnell H, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101965
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hadarits Monica, 2010, Journal of Wine Research, V21, P167, DOI 10.1080/09571264.2010.530109
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Harris R.M. B., 2019, AUSTRALIA'S WINE FUTURE: Adapting to short-term climate variability and long-term climate change
   Holling C. S., 2002, Panarchy: understanding transformations in human and natural systems
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jaeger WK, 2013, WATER RESOUR RES, V49, P4506, DOI 10.1002/wrcr.20249
   Jenkins-Smith Hank C., 1994, J PUBLIC POLICY, V14, P175, DOI [DOI 10.1017/S0143814X00007431, https://doi.org/10.1017/S0143814X00007431]
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Jones G. V., 2010, Journal of Wine Research, V21, P103, DOI 10.1080/09571264.2010.530091
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   Kay J., 2005, San Francisco Chronicle
   Lane MB, 2003, J RURAL STUD, V19, P283, DOI 10.1016/S0743-0167(02)00084-0
   Lange B, 2014, J ENVIRON LAW, V26, P215, DOI 10.1093/jel/equ013
   Lereboullet AL, 2013, AGR ECOSYST ENVIRON, V164, P273, DOI 10.1016/j.agee.2012.10.008
   Lewis GK, 2015, INT J WINE BUS RES, V27, P203, DOI 10.1108/IJWBR-06-2014-0028
   Martín-López B, 2017, LAND USE POLICY, V66, P90, DOI 10.1016/j.landusepol.2017.04.040
   Montgomery D.R., 2017, Growing a revolution: Bringing our soil back to life
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mote P.W., 2019, Fourth Oregon Climate Assessment Report
   Mozell M. R., 2014, Wine Economics and Policy, V3, P81, DOI 10.1016/j.wep.2014.08.001
   OIV, 2019, STAT REP WORLD VIT
   Oregon State University, 2020, WILL WAT 2100 PROJ O
   Oregon Water Resources Department, 2018, WAT RIGHTS OR INTR O
   Oregon Wine Board, 2019, 2019 OR WIN VIS PROF
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Palaiologou P, 2019, LANDSCAPE URBAN PLAN, V189, P99, DOI 10.1016/j.landurbplan.2019.04.006
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Quiggin J, 2010, CAN J AGR ECON, V58, P531, DOI 10.1111/j.1744-7976.2010.01200.x
   Rasmussen LV, 2018, NAT SUSTAIN, V1, P275, DOI 10.1038/s41893-018-0070-8
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   SABATIER PA, 1988, POLICY SCI, V21, P129, DOI 10.1007/BF00136406
   salmonsafe, 2020, ABOUT US
   tasmanianirrigation, 2020, ABOUT US
   TasWater, 2020, US WHO IS TASWATER
   Tate A. B., 2001, Journal of Wine Research, V12, P95, DOI 10.1080/09571260120095012
   Upton E, 2020, SOCIAL SUSTAINABILITY IN THE GLOBAL WINE INDUSTRY: CONCEPTS AND CASES, P155, DOI 10.1007/978-3-030-30413-3_11
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   van den Hove S, 2007, FUTURES, V39, P807, DOI 10.1016/j.futures.2006.12.004
   White MA, 2009, NAT GEOSCI, V2, P82, DOI 10.1038/ngeo429
   Willamette Valley Wineries Association, 2020, VALL
   Wine Tasmania, 2020, US
   Winemakers Federation of Australia, 2013, WIN IND REP EXP REP
   Winetitles, 2010, AUSTR NZ WIN IND DIR
NR 74
TC 3
Z9 3
U1 5
U2 15
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD JUN 7
PY 2021
VL 3
AR 654953
DI 10.3389/fclim.2021.654953
PG 19
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA L4XE9
UT WOS:001023303500001
OA gold
DA 2025-01-10
ER

PT J
AU Reinwald, F
   Thiel, S
   Kainz, A
   Hahn, C
AF Reinwald, Florian
   Thiel, Sophie
   Kainz, Astrid
   Hahn, Claudia
TI Components of urban climate analyses for the development of planning
   recommendation maps
SO URBAN CLIMATE
LA English
DT Article
DE Urban climate; Urban planning; Urban climatic map; Urban climate
   analysis; Planning recommendation map
ID HEAT-ISLAND; CHANGE IMPACTS; VULNERABILITY; SYSTEM; RISK; ENVIRONMENTS;
   TEMPERATURE; RESILIENCE; MORTALITY; MODEL
AB Due to their high density and sealing, cities are vulnerable to more frequently occurring extreme weather events such as heat, heavy rainfall and storms. Urban planning needs to respond to these climate risks. Urban climate analysis maps are used to assess climate-related hazards. Subsequently, planning recommendation maps aim to inform urban planning processes and to derive effective measures for climate change adaptation planning. Taking the IPCC risk concept as a methodological framework, this paper assesses whether and how all three components of this concept - hazards, exposure and vulnerabilities - are considered in existing urban climate analyses and planning recommendation maps based on a comparison of 12 urban climate analyses from Switzerland, Germany and Austria. This comparative analysis highlights difficulties in the practical delineation of the components hazard, exposure and vulnerability in order to assess the risk of climate impacts on cities. The informativeness of planning recommendation maps depends on the depth of the analyses of the components and subsequently affects the quality of derived planning measures for urban climate adaptation and mitigation planning. The results confirm that there are basically two methodological approaches: those of climatopes and those of urban climate models. Increasingly, there are also mixed forms that combine the possibilities of both variants. Many additional analyses or components are needed to carry out a comprehensive risk analysis, to identify particularly affected areas and thus to provide spatially explicit indications for measures. We conclude from our comparison that urban climatic analyses must therefore include four components to enable spatial climate change adaptation: (1) urban climatic analysis related to the hazard component, (2) in depth social and spatial analysis related to exposure and vulnerability components, (3) adaptation options and thus (4) planning recommendations and planning recommendation maps as "guidance to reduce the risk". To improve these analyses and provide a better basis for decision making and planning a (international) standardisation is recommended. A joint analysis of climate scenarios as well as socio-demographic and spatial developments can support a better analysis of (future) risks for cities. The effectiveness and implementation could be promoted if the analyses are linked to the cities' "regular" planning instruments and the statutory planning instruments.
C1 [Reinwald, Florian; Thiel, Sophie] Univ Nat Resources & Life Sci, Inst Landscape Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 65, A-1180 Vienna, Austria.
   [Kainz, Astrid; Hahn, Claudia] GeoSphere Austria, Div Climate & Environm, Competence Unit Urban Climate, Hohe Warte 38, A-1190 Vienna, Austria.
C3 BOKU University
RP Reinwald, F (corresponding author), Univ Nat Resources & Life Sci, Inst Landscape Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 65, A-1180 Vienna, Austria.
EM florian.reinwald@boku.ac.at
OI Thiel, Sophie/0000-0003-3783-6357
FU Austrian Climate Research Program; Program "ACRP - 14th Call"
   [KR21KB0K00001]
FX The research was conducted as part of the project "GreenAdaptation -
   Adaptive capacities and resilience in urban and landscape planning",
   funded by the Austrian Climate Research Program and conducted within the
   program "ACRP - 14th Call" (KR21KB0K00001) .
CR Aboagye PD, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.113886
   Acero JA, 2013, URBAN CLIM, V4, P35, DOI 10.1016/j.uclim.2013.02.002
   Ahmed I, 2023, URBAN CLIM, V51, DOI 10.1016/j.uclim.2023.101614
   Alcoforado MJ, 2009, LANDSCAPE URBAN PLAN, V90, P56, DOI 10.1016/j.landurbplan.2008.10.006
   Alonso L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152434
   Altvater S., 2011, Assessment of the Most Significant Threats to the EU Posed by the Changing Climate in the Short, Medium and Long Term-Task 1 Report
   Amorim-Maia AT, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101053
   [Anonymous], 2006, Instruments and Observing Methods Report No. 84
   [Anonymous], 2010, Urban climatic map of Arnhem City.
   Baccini M, 2008, EPIDEMIOLOGY, V19, P711, DOI 10.1097/EDE.0b013e318176bfcd
   Baumuller J., 2015, The Urban Climatic Map for Sustainable Urban Planning., P35
   Bauund Verkehrsdepartement des Kantons Basel-Stadt, 2021, Urban climate concept for climate-adapted settlement development in the canton of Basel-Stadt
   Bechtel B, 2019, URBAN CLIM, V27, P24, DOI 10.1016/j.uclim.2018.10.001
   Birkmann J, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03005-3
   Brunner J, 2013, PLAN PRACT RES, V28, P231, DOI 10.1080/02697459.2012.733525
   Bruse M, 1998, ENVIRON MODELL SOFTW, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   Calderón-Argelich A, 2023, URBAN FOR URBAN GREE, V86, DOI 10.1016/j.ufug.2023.127984
   Chen B, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103831
   de Jong M., 2018, RESIN deliverable 5.1/2.2: standardization in urban climate adaptation
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Demuzere Matthias, 2022, Zenodo, DOI 10.5281/ZENODO.6364594
   Djedjig R, 2015, INT J LOW-CARBON TEC, V10, P34, DOI 10.1093/ijlct/ctt019
   Ergas C., 2021, Handbook of Environmental Sociology., DOI [10.1007/978-3-030-77712-82, DOI 10.1007/978-3-030-77712-82]
   Estoque RC, 2023, AMBIO, V52, P376, DOI 10.1007/s13280-022-01806-z
   Eum JH, 2013, LAND USE POLICY, V34, P223, DOI 10.1016/j.landusepol.2013.03.016
   Fallmann J, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100023
   Flett A., 2011, Business Information Review, V28, P226, DOI [10.1177/0266382111429208, DOI 10.1177/0266382111429208, DOI 10.1177/0266382111429208.BIREEY]
   Früh B, 2011, J APPL METEOROL CLIM, V50, P167, DOI 10.1175/2010JAMC2377.1
   Gross G., 1994, MESOSCALE MODELING A, P73, DOI [10.1007/978-1-935704-12-6_9, DOI 10.1007/978-1-935704-12-6_9]
   Guerra PS, 2023, BUILD ENVIRON, V242, DOI 10.1016/j.buildenv.2023.110444
   Hajat S, 2014, J EPIDEMIOL COMMUN H, V68, P641, DOI 10.1136/jech-2013-202449
   Haslinger K, 2023, NAT HAZARD EARTH SYS, V23, P2749, DOI 10.5194/nhess-23-2749-2023
   He XD, 2015, BUILD ENVIRON, V92, P668, DOI 10.1016/j.buildenv.2015.05.044
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Hidalgo J, 2019, ANN NY ACAD SCI, V1436, P5, DOI 10.1111/nyas.13986
   Ho HC, 2018, APPL GEOGR, V95, P61, DOI 10.1016/j.apgeog.2018.04.015
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Howard Luke., 1833, The Climate of London: Deduced from Meteorological Observations Made in the Metropolis and at Various Places around It, V3
   Huddleston P, 2022, ENVIRON SCI POLICY, V135, P67, DOI 10.1016/j.envsci.2022.04.015
   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]
   Jendritzky G., 1979, Ein objectives Bewertungsverfahren zur Beschreibung des thermischen Milieus in der Stadtund Landschaftsplanung "Klima-Michel-Modell
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Kluge Susann., 1999, Empirisch begrundete Typenbildung. Zur Konstruktion von Typen und Typologien in der qualitativen Sozialforschung, DOI 10.1007/978-3-322-97436-5
   KrompKolb H, 2014, OSTERREICHISCHER SACHSTANDSBERICHT KLIMAWANDEL 2014, BD 1-3, P1
   Labedens S., 2018, Urban Clim, P1, DOI [10.31223/OSF.IO/C8MZB, DOI 10.31223/OSF.IO/C8MZB]
   Laranjeira Kevin, 2021, Climatic Change, V166, DOI 10.1007/s10584-021-03103-2
   Lehnert M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10040260
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Liu SY, 2017, PROCEDIA ENGINEER, V180, P462, DOI 10.1016/j.proeng.2017.04.205
   Lohmeyer A., 1998, Description of the Drainage Flow Model KALM.
   Mandara J, 2003, CLIN CHILD FAM PSYCH, V6, P129, DOI 10.1023/A:1023734627624
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Maronga B, 2020, GEOSCI MODEL DEV, V13, P1335, DOI 10.5194/gmd-13-1335-2020
   Martinich J, 2019, NAT CLIM CHANGE, V9, P397, DOI 10.1038/s41558-019-0444-6
   Matzarakis A., 2005, IAUC Newsletter,, V11, P4
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   Matzarakis A, 2014, FINISTERRA, V49, P21
   Mayring P., 2019, Forum for Qualitative Social Research, DOI [DOI 10.17169/FQS-20.3.3343, 10.17169/fqs-20.3.3343]
   McEvoy D., 2023, The impact of the 2009 heat wave on Melbourne's critical infrastructure Online, DOI [10.1080/13549839.2012.678320?src=getftr, DOI 10.1080/13549839.2012.678320?SRC=GETFTR]
   Mookerjee D, 2023, FRONT COMMUN, V7, DOI 10.3389/fcomm.2022.969879
   Mora C, 2010, J MAPS, V6, P591, DOI 10.4113/jom.2010.1112
   Ng E., 2015, The Urban Climatic Map for Sustainable Urban Planning, P454, DOI [10.4324/9781315717616, DOI 10.4324/9781315717616]
   Ngamsiriudom T., 2023, World Dev. Sustain., V3, DOI [10.1016/j.wds.2023.100105, DOI 10.1016/J.WDS.2023.100105]
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Pachauri RK., 2015, CLIMATE CHANGE 2014, P151
   Paranunzio R, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.100983
   Parsaee M, 2019, ENVIRON TECHNOL INNO, V14, DOI 10.1016/j.eti.2019.100341
   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]
   Räsänen A, 2019, REG ENVIRON CHANGE, V19, P1481, DOI 10.1007/s10113-019-01491-x
   Rawlins BG, 2015, SOIL USE MANAGE, V31, P46, DOI 10.1111/sum.12079
   Reinwald F, 2024, URBAN FOR URBAN GREE, V94, DOI 10.1016/j.ufug.2024.128232
   Ren C., 2015, The Urban Climatic Map for Sustainable Urban Planning, P10
   Ren C, 2013, CITIES, V31, P1, DOI 10.1016/j.cities.2012.12.005
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Ren C, 2011, INT J CLIMATOL, V31, P2213, DOI 10.1002/joc.2237
   Richard Y, 2018, URBAN CLIM, V26, P258, DOI 10.1016/j.uclim.2018.10.002
   Schau-Noppel H, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100614
   Scherer D, 1999, ATMOS ENVIRON, V33, P4185, DOI 10.1016/S1352-2310(99)00161-2
   Scherer D, 1996, PROGRESS IN ENVIRONMENTAL REMOTE SENSING RESEARCH AND APPLICATIONS, P197
   Schuett A, 2022, URBAN FOR URBAN GREE, V75, DOI 10.1016/j.ufug.2022.127692
   Sheridan SC, 2017, ANTHROPOCENE, V20, P61, DOI 10.1016/j.ancene.2016.10.001
   Sievers U., 1986, Contributions to Atmospheric Physics, V59, P13
   Sievers U., 2016, Das kleinskalige Stromungsmodell MUKLIMO3. Teil 2: Thermodynamische Erweiterungen
   Sievers U., 2005, Berichte des Deutschen Wetterdienstes Nr 227, 101. Seiten.
   Stadt Zurich, 2020, Fachplanung Hitzeminderung'.
   STANHILL G, 1995, INT J CLIMATOL, V15, P933, DOI 10.1002/joc.3370150807
   Stapley E, 2022, INT J QUAL METH, V21, DOI 10.1177/16094069221100633
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart I.D., 2015, The Urban Climatic Map for Sustainable Urban Planning, P397
   Stoffel M, 2014, SCI TOTAL ENVIRON, V493, P1255, DOI 10.1016/j.scitotenv.2014.02.102
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tomlinson CJ, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-42
   Ulpiani G, 2024, ONE EARTH, V7, DOI 10.1016/j.oneear.2024.04.010
   VDI - Verein Deutscher Ingenieure, 2024, VDI-Richtlinien: Standards setzen - auf dem aktuellen Stand der Technik
   VDI - Verein Deutscher Ingenieure, 2015, ICS 07.060, 13.040.20.
   Verbeeck K, 2011, LANDSCAPE URBAN PLAN, V100, P57, DOI 10.1016/j.landurbplan.2010.09.007
   World-Bank, 2020, Analysis of Heat Waves and Urban Heat Island Effects in Central European Cities and Implications for Urban Planning
   Xu D, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101850
   YOSHINO M, 1991, ENERG BUILDINGS, V15, P1, DOI 10.1016/0378-7788(90)90109-V
   Zhang HC, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.104999
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 101
TC 0
Z9 0
U1 12
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2024
VL 57
AR 102090
DI 10.1016/j.uclim.2024.102090
EA AUG 2024
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA D0U3B
UT WOS:001293416600001
OA hybrid
DA 2025-01-10
ER

PT C
AU Gunggut, H
   Bala, P
   Lunkapis, GJ
   Harris, RW
AF Gunggut, Haijon
   Bala, Poline
   Lunkapis, Gaim James
   Harris, Roger W.
TI Climate Change Adaptation Strategies among Coastal Community
SO ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
LA English
DT Proceedings Paper
CT 8th Asia-Pacific International Conference on Quality of Life (AQoL)
CY MAY 22-24, 2024
CL Dokez Eylul Univ, Izmir, TURKEY
HO Dokez Eylul Univ
DE Climate change; Adaptability strategies; Indigenous; Bajau
ID RESILIENCE; KNOWLEDGE
AB Using seven themes of adaptability strategies drawn from existing literature, this study examines the strategies for adaptation among the Bajau community in Lok Nunuk to cope with the impacts of climate change in the area. Questionnaires were distributed to 60 household heads, and descriptive statistics were used to analyze the data. The four obvious adaptation strategies identified in this study are social-related activities, physical infrastructure, technology-assisted, and government and organization support. There needs to be more than adaptation strategies to improve income among the people; they must be integrated into broader socioeconomic development programs and environment management levels.
C1 [Gunggut, Haijon] Univ Teknol MARA, Fac Adm Sci & Policy Studies, Kota Kinabalu 88997, Malaysia.
   [Bala, Poline] Univ Malaysia Sarawak, Inst Borneo Studies, Kota Samarahan 94300, Malaysia.
   [Lunkapis, Gaim James] Univ Malaysia Sabah, Fac Humanities Arts & Heritage, Kota Kinabalu 88400, Malaysia.
   [Harris, Roger W.] Roger Harris Associates, Hong Kong, Peoples R China.
C3 University of Malaysia Sarawak; Universiti Malaysia Sabah
RP Gunggut, H (corresponding author), Univ Teknol MARA, Fac Adm Sci & Policy Studies, Kota Kinabalu 88997, Malaysia.
EM haijo553@uitm.edu.my; bpoline@unimas.my; gaim.ums@gmail.com;
   roger.harris@rogharris.org
RI Bala, Poline/ACA-7543-2022
FU Malaysia Comprehensive University Network
FX Acknowledgments We thank the Malaysia Comprehensive University Network
   for funding this research.
CR Abdul RahmanH., 2018, INT J MALAY NUSANTAR, V1, P55
   Abu Samah A, 2019, SAGE OPEN, V9, DOI 10.1177/2158244019864204
   Amin MN, 2021, LOCAL ENVIRON, V26, P967, DOI 10.1080/13549839.2021.1937970
   [Anonymous], 2018, CLIMATE RESILIENT IN
   Antwi-Agyei P, 2015, CLIM DEV, V7, P297, DOI 10.1080/17565529.2014.951013
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Herman Tiara, 2015, Pertanika Journal of Tropical Agricultural Science, V38, P321
   Hosen N, 2019, ENVIRON-BEHAV PROC J, V4, P185, DOI 10.21834/e-bpj.v4i11.1716
   Johnson D, 2021, LOCAL ENVIRON, V26, P477, DOI 10.1080/13549839.2021.1901266
   Kipp A, 2019, INT J CIRCUMPOL HEAL, V78, DOI 10.1080/22423982.2018.1517581
   Mukhopadhyay Raktima, 2015, Journal of Biodiversity, V6, P22
   Nursey-Bray M, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00565
   Osman N. F., 2022, Malaysian Journal of Social Sciences and Humanities (MJSSH), V7, DOI [10.47405/mjssh.v7i9.1774, DOI 10.47405/MJSSH.V7I9.1774]
   Payus C, 2020, WATER-SUI, V12, DOI 10.3390/w12041135
   Rijal S, 2022, CLIM POLICY, V22, P132, DOI 10.1080/14693062.2021.1977600
   Royal Society and National Academy of Sciences, 2014, Climate Change Evidence & Causes
   Setiajiati Fitta, 2019, IOP Conference Series: Earth and Environmental Science, V363, DOI 10.1088/1755-1315/363/1/012001
   Shaffril HAM, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120595
   Sia P.H, 2024, ENVIRON-BEHAV PROC J, V9, P389, DOI [10.21834/e-bpj.v9iSI20.5888, DOI 10.21834/E-BPJ.V9ISI20.5888]
   Townshend I, 2015, NAT HAZARDS, V76, P913, DOI 10.1007/s11069-014-1526-4
   Wani K. A., 2018, Environmental Claims Journal, V30, P302
   Widayati A, 2021, LAND-BASEL, V10, DOI 10.3390/land10080816
   Williams J, 2012, INT J HUM RIGHTS, V16, P648, DOI 10.1080/13642987.2011.632135
   Wiseman ND, 2013, LOCAL ENVIRON, V18, P1024, DOI 10.1080/13549839.2012.752799
   World Bank Group and Asian Development Bank, 2021, Climate risk country profile: Vietnam
   Yusof A., 2021, CNA
NR 26
TC 0
Z9 0
U1 0
U2 0
PU E-IPH LTD UK
PI SHEFFIELD
PA THE LEADMILL, 6 LEADMILL RD, PO BOX STUDIO 7, SHEFFIELD, S1 4SE, ENGLAND
SN 2398-4287
J9 ENVIRON-BEHAV PROC J
JI Environ.-Behav. Proc. J.
PD JUN
PY 2024
VL 9
IS 29
BP 171
EP 178
DI 10.21834/e-bpj.v9i29.6034
PG 8
WC Environmental Studies
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA YG1T7
UT WOS:001267249400014
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Manning, DT
   Goemans, C
   Maas, A
AF Manning, Dale T.
   Goemans, Christopher
   Maas, Alexander
TI Producer Responses to Surface Water Availability and Implications for
   Climate Change Adaptation
SO LAND ECONOMICS
LA English
DT Article
ID AGRICULTURE; IRRIGATION; IMPACTS; INFERENCE; OUTPUT; MODEL
AB Climate change is predicted to bring changes in weather and water availability. The effect on agriculture depends on the ability of producers to modify their practices in response to changing distributions. We develop a two-stage theoretical model of planting and irrigation decisions and use a unique dataset to empirically estimate how producers respond to changes in expected water availability and deviations from expectations. As water supplies decrease, producers respond by planting fewer acres and concentrating the application of water. Highlighting the importance of adaptation in this context, failure to account for this behavioral response overstates climate change impacts by 17%.
C1 [Manning, Dale T.; Goemans, Christopher] Colorado State Univ, Dept Agr & Resource Econ, Ft Collins, CO 80523 USA.
   [Maas, Alexander] Univ Idaho, Dept Agr Econ & Rural Sociol, Moscow, ID 83843 USA.
C3 Colorado State University; University of Idaho
RP Manning, DT (corresponding author), Colorado State Univ, Dept Agr & Resource Econ, Ft Collins, CO 80523 USA.
RI Maas, Alexander/K-4360-2019
OI Maas, Alexander/0000-0002-6689-3628
FU National Institute of Food and Agriculture, U.S. Department of
   Agriculture [1004960, 0230501 (W-3133)]
FX This material is based upon work that is supported by the National
   Institute of Food and Agriculture, U.S. Department of Agriculture,
   Hatch/Multi State under 1004960 and 0230501 (W-3133).
CR ADAMS RM, 1989, AM J AGR ECON, V71, P1272, DOI 10.2307/1243120
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   BASSETTI P, 1993, CROP SCI, V33, P275, DOI 10.2135/cropsci1993.0011183X003300020012x
   BERCK P, 1990, AM J AGR ECON, V72, P985, DOI 10.2307/1242630
   Burke Marshall, 2013, AM ECON J-ECON POLIC, V8, P106
   Cameron AC, 2008, REV ECON STAT, V90, P414, DOI 10.1162/rest.90.3.414
   Carey JM, 2002, AM J AGR ECON, V84, P171, DOI 10.1111/1467-8276.00251
   Colorado Department of Local Affairs, 2017, POP TOL COL COUNT
   Colorado Water Conservation Board, 2015, COL WAT PLAN 2015
   Colorado Water Conservation Board, 2007, COL WAT SUPPL FUT
   Connor J, 2009, AUST J AGR RESOUR EC, V53, P437, DOI 10.1111/j.1467-8489.2009.00460.x
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Fleischer A, 2011, TECHNOL FORECAST SOC, V78, P982, DOI 10.1016/j.techfore.2011.02.008
   Foster T, 2014, WATER RESOUR RES, V50, P6370, DOI 10.1002/2014WR015620
   Getches David., 1984, Water Law in a Nutshell
   Goodman DJ, 2000, J AGR RESOUR ECON, V25, P698
   Guiteras R., 2009, IMPACT CLIMATE CHANG
   HERRERO MP, 1980, CROP SCI, V20, P796, DOI 10.2135/cropsci1980.0011183X002000060030x
   Hornbeck R, 2015, AM ECON J-ECON POLIC, V7, P192, DOI 10.1257/pol.20130077
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Jablonski BBR, 2016, RENEW AGR FOOD SYST, V31, P139, DOI 10.1017/S1742170515000083
   Jessoe Katrina, 2017, EC J IN PRESS
   Kahil MT, 2016, WATER-SUI, V8, DOI 10.3390/w8020034
   Letey J., 1991, The economics and management of water and drainage in agriculture., P209
   Lukas J., 2014, CLIMATE CHANGE COLOR
   Massetti E, 2011, CLIM CHANG ECON, V2, P301, DOI 10.1142/S2010007811000322
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Mukherjee M, 2015, AM J AGR ECON, V97, P809, DOI 10.1093/ajae/aau101
   MURPHY KM, 1985, J BUS ECON STAT, V3, P370, DOI 10.2307/1391724
   Olen B, 2016, AM J AGR ECON, V98, P254, DOI 10.1093/ajae/aav036
   Ortiz-Bobea Ariel, 2013, AERE 3 ANN SUMM C AU
   Peck DE, 2011, HANDBOOK ON CLIMATE CHANGE AND AGRICULTURE, P89
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Schlenker W, 2005, AM ECON REV, V95, P395, DOI 10.1257/0002828053828455
   Schlenker W, 2007, CLIMATIC CHANGE, V81, P19, DOI 10.1007/s10584-005-9008-z
   Schlenker W, 2006, REV AGR ECON, V28, P391, DOI 10.1111/j.1467-9353.2006.00304.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schneekloth JP., 2009, Seasonal water needs and opportunities for limited irrigation for Colorado crops
   SNYDER RL, 1985, AGR FOREST METEOROL, V35, P353, DOI 10.1016/0168-1923(85)90095-4
   South Platte Roundtable, 2009, PART 2 S PLATTE BADI
   Stocker, 2014, CLIMATE CHANGE 2013
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   U.S. Department of Agriculture (USDA), 2017, IRR WAT US BACKGR
   U.S. Geological Survey, 2010, WAT US COL
   Urban DW, 2015, CLIMATIC CHANGE, V130, P247, DOI 10.1007/s10584-015-1362-x
   van den Dool H, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD003114
   Wilson L. T., 1983, California Agriculture, V37, P4
NR 50
TC 14
Z9 17
U1 1
U2 8
PU UNIV WISCONSIN PRESS
PI MADISON
PA JOURNAL DIVISION, 728 State Street, Suite 443, MADISON, WI, UNITED
   STATES
SN 0023-7639
EI 1543-8325
J9 LAND ECON
JI Land Econ.
PD NOV
PY 2017
VL 93
IS 4
BP 631
EP 653
DI 10.3368/le.93.4.631
PG 23
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA FK5OC
UT WOS:000413548300005
OA Green Published
DA 2025-01-10
ER

PT J
AU Chinowsky, PS
   Schweikert, AE
   Strzepek, N
   Strzepek, K
AF Chinowsky, Paul S.
   Schweikert, Amy E.
   Strzepek, Niko
   Strzepek, Kenneth
TI Road Infrastructure and Climate Change in Vietnam
SO SUSTAINABILITY
LA English
DT Article
DE climate change; road infrastructure; stressor response functions;
   Vietnam; O18; R42
ID IMPACT; COSTS
AB Climate change is a potential threat to Vietnam's development as current and future infrastructure will be vulnerable to climate change impacts. This paper focuses on the physical asset of road infrastructure in Vietnam by evaluating the potential impact of changes from stressors, including: sea level rise, precipitation, temperature and flooding. Across 56 climate scenarios, the mean additional cost of maintaining the same road network through 2050 amount to US$10.5 billion. The potential scale of these impacts establishes climate change adaptation as an important component of planning and policy in the current and near future.
C1 [Chinowsky, Paul S.; Schweikert, Amy E.; Strzepek, Niko] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA.
   [Chinowsky, Paul S.; Schweikert, Amy E.; Strzepek, Niko] Univ Colorado, Climate & Civil Syst Lab, Boulder, CO 80309 USA.
   [Strzepek, Kenneth] MIT, Joint Program Sci & Policy Global Change, Cambridge, MA 02139 USA.
C3 University of Colorado System; University of Colorado Boulder;
   University of Colorado System; University of Colorado Boulder;
   Massachusetts Institute of Technology (MIT)
RP Chinowsky, PS (corresponding author), Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA.
EM paul.chinowsky@colorado.edu; aschweikert@resilient-analytics.com;
   strzepek@colorado.edu; strzepek@colorado.edu
CR ADB Institute, 2008, P WORKSH STRENGTH PU
   [Anonymous], COSTS DEV C IN PRESS
   [Anonymous], VIETNAM
   [Anonymous], 2008, 290 TRB NAT RES COUN
   Arndt C, 2015, SUSTAINABILITY-BASEL, V7, P4131, DOI 10.3390/su7044131
   AUSTROADS, 2004, IMP CLIM CHANG ROAD
   CCSP, 2006, EFF CLIM CHANG EN PR
   Chinowsky P., 2011, ENG PROJECT ORG J, V1, P67, DOI DOI 10.1080/21573727.2010.549608
   Chinowsky P.S., 2011, ADAPTATION ADVANTAGE
   Galbraith R.M., 2005, SCOTTISH ROAD NETWOR
   Gebretsadik Y., 2015, IMPACT CLIMATE UNPUB
   Jackson N., 2006, Long-Term Pavement Performance (LTPP) Data Analysis Support: National Pooled Fund study TPF-5 (013)-Effects of Multiple Freeze Cycles and Deep Frost Penetration on Pavement Performance and Cost
   Larsen PH, 2008, GLOBAL ENVIRON CHANG, V18, P442, DOI 10.1016/j.gloenvcha.2008.03.005
   Mills B., CLIMATE CHANGE TRANS
   National Roundtable on the Environment and the Economy, 2009, TRUE N AD INFR CLIM
   Neumann J., 2000, Sea-Level Rise Global Climate Change: A Review of Impacts to U.S. Coasts
   Neumann J.E., 2015, SUSTAINABIL IN PRESS
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   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]
   Stratus Consulting, 2010, CLIM CHANG IMP TRANS
NR 20
TC 10
Z9 11
U1 5
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2015
VL 7
IS 5
BP 5452
EP 5470
DI 10.3390/su7055452
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CL4PU
UT WOS:000356936200032
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Broto, VC
   Robin, E
AF Castan Broto, Vanesa
   Robin, Enora
TI Climate urbanism as critical urban theory
SO URBAN GEOGRAPHY
LA English
DT Article
DE Climate urbanism; climate change adaptation; climate change mitigation;
   insurgent urbanism; critical theory
ID GOVERNANCE; POLITICS
AB As urban actors engage in climate action, their projects - from urban greening to changes in urban energy systems - reshape not just the urban built environment but also the organization of social life. This new climate urbanism invites to reimagine what it means to be urban in a climate-changed world. We propose the articulation of climate urbanism as a critical theory that both exposes the production of further inequalities associated with urban responses to climate change and provides new radical forms of practice for more progressive urban futures under climate change.
C1 [Castan Broto, Vanesa; Robin, Enora] Univ Sheffield, Urban Inst, ICOSS, Interdisciplinary Ctr Social Sci, Sheffield, S Yorkshire, England.
C3 University of Sheffield
RP Broto, VC (corresponding author), Univ Sheffield, Urban Inst, ICOSS, Interdisciplinary Ctr Social Sci, Sheffield, S Yorkshire, England.
EM v.castanbroto@sheffield.ac.uk
RI Broto, Vanesa/AAF-4485-2021
OI Castan Broto, Vanesa/0000-0002-3175-9859; Robin,
   Enora/0000-0002-0327-1549
FU Leverhulme Trust [Philipp Leverhulme Prize]
FX This work was supported by the Leverhulme Trust [Philipp Leverhulme
   Prize].
CR Anguelovski I, 2019, P NATL ACAD SCI USA, V116, P26139, DOI 10.1073/pnas.1920490117
   Beals RL, 1951, AM ANTHROPOL, V53, P1, DOI 10.1525/aa.1951.53.1.02a00020
   Bohl Charles, 2008, J URBANISM INT RES P, V1(1), DOI [10.1080/17549170801903421, DOI 10.1080/17549170801903421]
   Brenner N., 2009, CITY, V13, P176, DOI DOI 10.1080/13604810903020548
   Brenner N., 2009, CITY ANAL URBAN TREN, V13, P198, DOI DOI 10.1080/13604810902996466
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Castan Broto V., 2019, Urban Energy Landscapes
   Castan Broto Vanesa, CLIMATE URBANISM CRI
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Dovey K, 2012, INT DEV PLANN REV, V34, P349, DOI 10.3828/idpr.2012.23
   EEA, 2020, URB AD EUR CIT TOWNS, DOI [10.2800/324620, DOI 10.2800/324620]
   Finn Donovan., 2014, J URBANISM VOL, V7, P381, DOI [DOI 10.1080/17549175.2014, 10.1080/17549175.2014.891149, DOI 10.1080/17549175.2014.891149]
   Hodson M.Marvin., 2010, World cities and climate change: Producing urban ecological security
   Hou J, 2010, PROCEEDINGS OF THE 2ND INTERNATIONAL FORUM ON STANDARDIZATION AND TRADE: CHINA FOCUS, P136
   Jonas AEG, 2011, URBAN STUD, V48, P2537, DOI 10.1177/0042098011411951
   KOOLHAAS R, 1995, DESIGN QUART, P28, DOI 10.2307/4091351
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   McCann E, 2017, URBAN STUD, V54, P312, DOI 10.1177/0042098016670046
   Pescaroli G., 2015, Planet@Risk, V3, P58
   Rice JL, 2020, INT J URBAN REGIONAL, V44, P145, DOI 10.1111/1468-2427.12740
   Robin E, 2021, INT J URBAN REGIONAL, V45, P869, DOI 10.1111/1468-2427.12981
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Shi L, 2021, URBAN AFF REV, V57, P1442, DOI 10.1177/1078087419910827
   Talen E, 2002, HOUS POLICY DEBATE, V13, P165, DOI 10.1080/10511482.2002.9521438
   Talen E, 2015, J PLAN HIST, V14, P135, DOI 10.1177/1538513214549325
   Wirth L, 1938, AM J SOCIOL, V44, P1, DOI 10.1086/217913
NR 27
TC 35
Z9 39
U1 5
U2 49
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0272-3638
EI 1938-2847
J9 URBAN GEOGR
JI Urban Geogr.
PD JUL 3
PY 2021
VL 42
IS 6
BP 715
EP 720
DI 10.1080/02723638.2020.1850617
EA NOV 2020
PG 6
WC Geography; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Urban Studies
GA WM6IT
UT WOS:000590094600001
DA 2025-01-10
ER

PT J
AU Iskandar, I
   Anas, A
   Bahri, S
   Menne, F
   Baharuddin, T
AF Iskandar, Iskandar
   Anas, Ali
   Bahri, Syamsul
   Menne, Firman
   Baharuddin, Tawakkal
TI Social vulnerability and climate change: a bibliometric analysis
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE Social vulnerability; climate change; community resilience; gender
   inclusion; poverty
ID CHANGE ADAPTATION; COLLABORATIVE GOVERNANCE; COMMUNITIES; EASTERN; RISK
AB The urgent research on social vulnerability and climate change arises because of the complex impacts on society. Climate change increases social vulnerability and exacerbates social and economic inequalities. The main objective of this research is to identify trends, themes, and knowledge gaps from the global literature and consider policy recommendations based on the trends in the data obtained. The research method uses bibliometric analysis with the Scopus database as the primary data source, where 112 published documents were found. The findings of this study indicate that there has been increasing interest in research on social vulnerability and climate change over time. However, there are limitations in the geographic spread of research, particularly in Asia, highlighting the need for further research. On the other hand, although many research themes have received attention, the focus on disasters, poverty, livelihoods, women, and developing countries still needs to be expanded, demanding further research. These findings also initiate a policy recommendation emphasizing a holistic and sustainable approach. By strengthening community resilience, reducing social disparities, and increasing gender inclusion, this policy can potentially improve adaptation to climate change. Global solidarity and international cooperation are also essential to support developing countries in facing the impacts of climate change.
C1 [Iskandar, Iskandar; Bahri, Syamsul] Univ Bosowa, Dept Sociol, Makassar, Indonesia.
   [Anas, Ali] Univ Bosowa, Dept Publ Adm, Makassar, Indonesia.
   [Menne, Firman] Univ Bosowa, Dept Accounting, Makassar, Indonesia.
   [Baharuddin, Tawakkal] Univ Muhammadiyah Yogyakarta, Doctoral Program Polit Islam Polit Sci, Kasihan, Indonesia.
C3 Universitas Muhammadiyah Yogyakarta
RP Iskandar, I (corresponding author), Univ Bosowa, Dept Sociol, Makassar, Indonesia.
EM iskandar@universitasbosowa.ac.id
RI Iskandar, Iskandar/AAB-5783-2021; Anas, Ali/KPA-2329-2024; Menne,
   Firman/O-7664-2018
CR Abbas M, 2023, MITIG ADAPT STRAT GL, V28, DOI 10.1007/s11027-023-10082-5
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Alam GMM, 2017, ENVIRON MANAGE, V59, P777, DOI 10.1007/s00267-017-0826-3
   Benmarhnia T, 2015, INT J ENV RES PUB HE, V12, P11869, DOI 10.3390/ijerph120911869
   Bhowmick D, 2024, ENVIRON QUAL MANAG, V33, P371, DOI 10.1002/tqem.22125
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Castro JAG, 2023, INT J DISAST RISK RE, V94, DOI 10.1016/j.ijdrr.2023.103802
   Colburn LL, 2016, MAR POLICY, V74, P323, DOI 10.1016/j.marpol.2016.04.030
   Daoud M, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01785-z
   Das M, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106815
   Delfino Ariel, 2021, International Journal of Climate Change: Impacts and Responses, V13, P127, DOI 10.18848/1835-7156/CGP/v13i02/127-146
   Dikaios G, 2024, MEDIA COMMUN-LISBON, V12, DOI 10.17645/mac.7924
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Dwirahmadi F, 2023, GEOSCIENCES, V13, DOI 10.3390/geosciences13110353
   Ensor M. O., 2022, Journal of Peacebuilding Development, V17, P289, DOI [https://doi.org/10.1177/15423166221128178, DOI 10.1177/15423166221128178]
   Fazey I, 2021, SUSTAIN SCI, V16, P1731, DOI 10.1007/s11625-021-00950-x
   Fischer HW, 2016, ENVIRON PLANN A, V48, P789, DOI 10.1177/0308518X15623278
   Fonseca C, 2023, DATA BRIEF, V47, DOI 10.1016/j.dib.2023.108924
   George A, 2023, ASIA-PAC J REG SCI, V7, P1329, DOI 10.1007/s41685-023-00311-9
   Ghazali DA, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15071379
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hartinger SM, 2024, LANCET REG HEALTH-AM, V33, DOI 10.1016/j.lana.2024.100746
   Heath LC, 2020, ENVIRON RES, V188, DOI 10.1016/j.envres.2020.109636
   Huynh CM, 2024, J ASIA PAC ECON, DOI 10.1080/13547860.2024.2315700
   Ibrahim A. H. H., 2023, Jurnal Borneo Administrator, V19, P269, DOI [https://doi.org/10.24258/jba.v19i3.1303, DOI 10.24258/JBA.V19I3.1303]
   Jerin T, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103851
   Kalesnikaite V, 2019, PUBLIC PERFORM MANAG, V42, P864, DOI 10.1080/15309576.2018.1526091
   Kamiohkawa S, 2021, J ENVIRON SCI MANAG, V24, P68
   Kanyundo A., 2023, Social Sciences & Humanities Open, V8, DOI [10.1016/j.ssaho.2023.100640, DOI 10.1016/J.SSAHO.2023.100640]
   Kehler S, 2021, ENVIRON SCI POLICY, V124, P471, DOI 10.1016/j.envsci.2021.07.025
   Kuhlicke C, 2023, GLOBAL ENVIRON CHANG, V80, DOI 10.1016/j.gloenvcha.2023.102672
   Huynh LTM, 2018, CLIM RISK MANAG, V20, P165, DOI 10.1016/j.crm.2018.02.003
   Lestaluhu S., 2023, International Journal of Sustainable Development and Planning, V18, P2547, DOI [https://doi.org/10.18280/ijsdp.180826, DOI 10.18280/IJSDP.180826]
   Li A, 2023, LANCET PLANET HEALTH, V7, pE925, DOI 10.1016/S2542-5196(23)00216-4
   Lima CO, 2020, NAT HAZARDS, V102, P1589, DOI 10.1007/s11069-020-03974-1
   Linke S, 2022, LAND-BASEL, V11, DOI 10.3390/land11101818
   Mafi-Gholami D, 2021, J ENVIRON MANAGE, V299, DOI 10.1016/j.jenvman.2021.113573
   Maiti S, 2015, CLIMATIC CHANGE, V131, P287, DOI 10.1007/s10584-015-1379-1
   Malik Ihyani, 2023, Digital Technologies and Applications: Proceedings of ICDTA'23. Lecture Notes in Networks and Systems (669), P95, DOI 10.1007/978-3-031-29860-8_10
   Mason M, 2011, CLIM DEV, V3, P285, DOI 10.1080/17565529.2011.618386
   McMahon K, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102414
   Memon MH, 2023, WEATHER CLIM SOC, V15, P829, DOI 10.1175/WCAS-D-21-0113.1
   Montejo-Damian KC., 2022, COASTAL STUDIES SOC, V1, P55, DOI [10.1177/26349817221080864, DOI 10.1177/26349817221080864]
   Nagel M, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100502
   Nong HTT, 2020, INT J SOC ECON, V47, P953, DOI 10.1108/IJSE-09-2019-0534
   Nuruzzaman AKM, 2024, CLIM POLICY, DOI 10.1080/14693062.2024.2305762
   Nyahunda L, 2021, BRIT J SOC WORK, V51, P2536, DOI 10.1093/bjsw/bcaa118
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Porsadeqiyan M., 2023, Health in Emergencies Disasters Quarterly, V8, P219, DOI [https://doi.org/10.32598/hdq.8.4.406.3, DOI 10.32598/HDQ.8.4.406.3]
   Poudel S, 2020, ENVIRON DEV SUSTAIN, V22, P8159, DOI 10.1007/s10668-019-00566-3
   Rehman A, 2024, HUM SOC SCI COMMUN, V11, DOI 10.1057/s41599-024-02847-3
   Saikia Mrinal, 2023, Ecology, Economy and Society-the INSEE Journal, V6, P13, DOI 10.37773/ees.v6i1.679
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Satish NG, 2021, ANN LIBR INF STUD, V68, P349, DOI 10.56042/alis.v68i4.49432
   Schilling J, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01597-7
   Seaman JA, 2014, CLIM RISK MANAG, V4-5, P59, DOI 10.1016/j.crm.2014.10.001
   Shoreman-Ouimet E, 2024, INT J DISAST RISK RE, V101, DOI 10.1016/j.ijdrr.2024.104276
   Solangi GS, 2022, WATER PRACT TECHNOL, V17, P1666, DOI 10.2166/wpt.2022.087
   Son Ho Ngoc, 2024, International Journal of Climate Change: Impacts and Responses, V16, P21, DOI 10.18848/1835-7156/CGP/v16i01/21-44
   Stadnyk S., 2023, Slobozhanskyi;scientific and sports, V27, P81, DOI [10.15391/snsv.2023-2.004, DOI 10.15391/SNSV.2023-2.004]
   Stafford S, 2017, NAT HAZARDS, V85, P1089, DOI 10.1007/s11069-016-2622-4
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   Tweneboah-Koduah D, 2024, J ASIAN AFR STUD, DOI 10.1177/00219096241243294
   Vengadesh S., 2023, Bus. Perspect. Res, DOI [10.1177/22785337221148807, DOI 10.1177/22785337221148807]
   Wang ZB, 2020, J ENVIRON MANAGE, V272, DOI 10.1016/j.jenvman.2020.111079
   Zain A, 2024, SINGAP MED J, V65, P211, DOI 10.4103/singaporemedj.SMJ-2023-180
NR 69
TC 0
Z9 0
U1 8
U2 8
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2402849
DI 10.1080/23311886.2024.2402849
PG 15
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA H0W2B
UT WOS:001320726200001
OA gold
DA 2025-01-10
ER

PT J
AU Draghi, JA
   McGlothlin, JW
   Kindsvater, HK
AF Draghi, Jeremy A.
   McGlothlin, Joel W.
   Kindsvater, Holly K.
TI Demographic feedbacks during evolutionary rescue can slow or speed
   adaptive evolution
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE evolutionary rescue; demography; adaptation; evolutionary theory
ID CHANGING ENVIRONMENT; QUANTITATIVE TRAIT; DRUG-RESISTANCE; POPULATION;
   EXTINCTION; MORTALITY; ADAPTATION; RECRUITMENT; AGE; CONSERVATION
AB Populations declining toward extinction can persist via genetic adaptation in a process called evolutionary rescue. Predicting evolutionary rescue has applications ranging from conservation biology to medicine, but requires understanding and integrating the multiple effects of a stressful environmental change on population processes. Here we derive a simple expression for how generation time, a key determinant of the rate of evolution, varies with population size during evolutionary rescue. Change in generation time is quantitatively predicted by comparing how intraspecific competition and the source of maladaptation each affect the rates of births and deaths in the population. Depending on the difference between two parameters quantifying these effects, the model predicts that populations may experience substantial changes in their rate of adaptation in both positive and negative directions, or adapt consistently despite severe stress. These predictions were then tested by comparison to the results of individual-based simulations of evolutionary rescue, which validated that the tolerable rate of environmental change varied considerably as described by analytical results. We discuss how these results inform efforts to understand wildlife disease and adaptation to climate change, evolution in managed populations and treatment resistance in pathogens.
C1 [Draghi, Jeremy A.; McGlothlin, Joel W.] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24060 USA.
   [Kindsvater, Holly K.] Virginia Tech, Dept Fish & Wildlife Conservat, Blacksburg, VA 24060 USA.
C3 Virginia Polytechnic Institute & State University; Virginia Polytechnic
   Institute & State University
RP Draghi, JA (corresponding author), Virginia Tech, Dept Biol Sci, Blacksburg, VA 24060 USA.
EM jdraghi@vt.edu
RI Draghi, Jeremy/KVA-6748-2024; McGlothlin, Joel/B-8222-2008
OI McGlothlin, Joel/0000-0003-3645-6264; Kindsvater,
   Holly/0000-0001-7580-4095
FU Division of Environmental Biology
FX The authors acknowledge helpful discussions with Matthew Osmond, Steve
   Munch, and members of the Draghi laboratory, and thank two anonymous
   reviewers for helpful comments.
CR Abrams PA, 2019, AM NAT, V193, P814, DOI 10.1086/703155
   Alexander HK, 2014, EVOL APPL, V7, P1161, DOI 10.1111/eva.12221
   Alexander HK, 2012, EPIDEMICS-NETH, V4, P187, DOI 10.1016/j.epidem.2012.10.001
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Anciaux Y, 2018, GENETICS, V209, P265, DOI 10.1534/genetics.118.300908
   Barfield M, 2016, EVOL ECOL RES, V17, P771
   Barrett RDH, 2012, BEHAVIOURAL RESPONSES TO A CHANGING WORLD: MECHANISMS AND CONSEQUENCES, P216
   BURGER R, 1995, EVOLUTION, V49, P151, DOI 10.1111/j.1558-5646.1995.tb05967.x
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Chevin LM, 2010, EVOLUTION, V64, P1143, DOI 10.1111/j.1558-5646.2009.00875.x
   Cooley HS, 2009, ECOLOGY, V90, P2913, DOI 10.1890/08-1805.1
   Cotto O, 2019, AM NAT, V194, P558, DOI 10.1086/702716
   Cotto O, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15399
   Czuppon P, 2023, bioRxiv, DOI [10.1101/2023.02.20.529188, 10.1101/2023.02.20.529188, DOI 10.1101/2023.02.20.529188]
   Czuppon P, 2021, AM NAT, V197, P625, DOI 10.1086/714034
   Draghi JA., 2024, Figshare, DOI [10.6084/m9.figshare.c.7050016, DOI 10.6084/M9.FIGSHARE.C.7050016]
   Eikeset AM, 2016, P NATL ACAD SCI USA, V113, P15030, DOI 10.1073/pnas.1525749113
   Engen S, 2017, AM NAT, V190, P73, DOI 10.1086/692011
   Engen S, 2011, EVOLUTION, V65, P2893, DOI 10.1111/j.1558-5646.2011.01342.x
   Gandon S, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0086
   Garnier J, 2023, THEOR POPUL BIOL, V152, P1, DOI 10.1016/j.tpb.2023.04.002
   GOMULKIEWICZ R, 1995, EVOLUTION, V49, P201, DOI 10.1111/j.1558-5646.1995.tb05971.x
   Gomulkiewicz R, 2010, EVOL APPL, V3, P97, DOI 10.1111/j.1752-4571.2009.00117.x
   Gonzalez A, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0404
   Hansen TF, 2011, EVOL BIOL, V38, P258, DOI 10.1007/s11692-011-9127-6
   Hopkins WA, 2023, AM NAT, DOI 10.1086/724819
   Hutchings JA, 2004, BIOSCIENCE, V54, P297, DOI 10.1641/0006-3568(2004)054[0297:MFPCCF]2.0.CO;2
   Igler C, 2021, ELIFE, V10, DOI 10.7554/eLife.64116
   Jones AG, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-119
   Kindsvater HK, 2016, ECOL EVOL, V6, P2125, DOI 10.1002/ece3.2012
   Klausmeier CA, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0453
   Knight TM, 2008, AM NAT, V172, P375, DOI 10.1086/589898
   Kokko H, 2017, TRENDS ECOL EVOL, V32, P187, DOI 10.1016/j.tree.2016.12.005
   Komarova NL, 2005, P NATL ACAD SCI USA, V102, P9714, DOI 10.1073/pnas.0501870102
   Kopp M, 2014, EVOL APPL, V7, P169, DOI 10.1111/eva.12127
   Kramer K, 2008, ECOL MODEL, V216, P333, DOI 10.1016/j.ecolmodel.2008.05.004
   Kuparinen A, 2010, FOREST ECOL MANAG, V259, P1003, DOI 10.1016/j.foreco.2009.12.006
   Lachish S, 2009, J ANIM ECOL, V78, P427, DOI 10.1111/j.1365-2656.2008.01494.x
   Lande R, 2009, PHILOS T R SOC B, V364, P1511, DOI 10.1098/rstb.2009.0017
   LYNCH M, 1993, BIOTIC INTERACTIONS AND GLOBAL CHANGE, P234
   LYNCH M, 1991, LIMNOL OCEANOGR, V36, P1301, DOI 10.4319/lo.1991.36.7.1301
   Marshall DJ, 2016, EVOL APPL, V9, P1189, DOI 10.1111/eva.12396
   Martin G, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0088
   Matuszewski S, 2015, GENETICS, V200, P1255, DOI 10.1534/genetics.115.178574
   McDonald JL, 2016, ECOL LETT, V19, P443, DOI 10.1111/ele.12578
   Minnie L, 2016, J APPL ECOL, V53, P379, DOI 10.1111/1365-2664.12581
   Muths E, 2011, J APPL ECOL, V48, P873, DOI 10.1111/j.1365-2664.2011.02005.x
   Nielsen OK, 1999, J ANIM ECOL, V68, P1034, DOI 10.1046/j.1365-2656.1999.00351.x
   Nunney L, 2016, J HERED, V107, P15, DOI 10.1093/jhered/esv084
   Olsen E, 2005, CAN J FISH AQUAT SCI, V62, P811, DOI 10.1139/F05-065
   Orive ME, 2019, B MATH BIOL, V81, P4821, DOI 10.1007/s11538-018-0504-5
   Orive ME, 2017, AM NAT, V190, P469, DOI 10.1086/693006
   Orr HA, 2008, AM NAT, V172, P160, DOI 10.1086/589460
   Osmond MM, 2017, EVOLUTION, V71, P2930, DOI 10.1111/evo.13374
   Osmond MM, 2017, AM NAT, V190, P83, DOI 10.1086/691778
   Osmond MM, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0085
   Reed TE, 2013, SCIENCE, V340, P488, DOI 10.1126/science.1232870
   Salguero-Gómez R, 2016, P NATL ACAD SCI USA, V113, P230, DOI 10.1073/pnas.1506215112
   Sandercock BK, 2011, J ANIM ECOL, V80, P244, DOI 10.1111/j.1365-2656.2010.01769.x
   Scheele BC, 2015, BIOL CONSERV, V182, P36, DOI 10.1016/j.biocon.2014.11.032
   Schmid M, 2022, AM NAT, DOI 10.1086/719654
   Sheth SN, 2018, P NATL ACAD SCI USA, V115, P2413, DOI 10.1073/pnas.1715899115
   Skelly DK, 2001, OIKOS, V94, P198, DOI 10.1034/j.1600-0706.2001.t01-1-11105.x
   Stockwell CA, 2003, TRENDS ECOL EVOL, V18, P94, DOI 10.1016/S0169-5347(02)00044-7
   Swain DP, 2007, P ROY SOC B-BIOL SCI, V274, P1015, DOI 10.1098/rspb.2006.0275
   Valenzuela-Sánchez A, 2021, ECOL LETT, V24, P876, DOI 10.1111/ele.13681
   van Mantgem PJ, 2007, ECOL LETT, V10, P909, DOI 10.1111/j.1461-0248.2007.01080.x
   Vinton AC, 2020, ECOL EVOL, V10, P5725, DOI 10.1002/ece3.6311
   Wal EV, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0090
   Willi Y, 2006, ANNU REV ECOL EVOL S, V37, P433, DOI 10.1146/annurev.ecolsys.37.091305.110145
   Wilson AJ, 2006, PLOS BIOL, V4, P1270, DOI 10.1371/journal.pbio.0040216
   Wright J, 2020, ECOL EVOL, V10, P3068, DOI 10.1002/ece3.6122
   Zeineddine M, 2009, EVOLUTION, V63, P1498, DOI 10.1111/j.1558-5646.2009.00630.x
NR 73
TC 0
Z9 0
U1 4
U2 7
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 FEB 14
PY 2024
VL 291
IS 2016
AR 20231553
DI 10.1098/rspb.2023.1553
PG 10
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA HU1Y4
UT WOS:001161940700011
PM 38351805
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Tekin, O
   Cetin, M
   Varol, T
   Ozel, HB
   Sevik, H
   Cetin, IZ
AF Tekin, Oktay
   Cetin, Mehmet
   Varol, Tugrul
   Ozel, Halil Baris
   Sevik, Hakan
   Cetin, Ilknur Zeren
TI Attitudinal Migration of Species of Fir (<i>Abies</i> spp.) in
   Adaptation to Climate Change
SO WATER AIR AND SOIL POLLUTION
LA English
DT Article
DE Global climate change; Abies nordmanniana; Abies bornmuelleriana; Abies
   cilicica; Altitudinal shift; Shared socio-economic pathways
ID PHENOTYPIC PLASTICITY; EVOLUTION
AB Global climate change is considered an irreversible problem, which might directly or indirectly affect all the organisms and ecosystems on the earth and the world has to struggle with. Plants having no effective movement mechanism are the group that global climate change will affect the most. In order to minimize the species and population losses, it is important to estimate the changes in the available distribution areas of species and to ensure the migration mechanism, which the species will need, by the hand of humans. The present study aims to reveal how potential distribution areas of fir, which is among the significant tree species of Turkey and significant portion of global distribution of which is in Turkey, will change from an altitudinal aspect because of the climate change. The results achieved showed that, because of the effects of global climate change, the suitable distribution areas of Abies nordmanniana subsp. nordmanniana will significantly decrease especially at high altitudes and that suitable distribution areas of Abies nordmanniana subsp. equi-trojani will reduce at altitudes higher than 1400 m but increase generally at the altitudes between 200 and 600 m. Moreover, suitable distribution areas of Abies cilicica will shift towards higher altitudes.
C1 [Tekin, Oktay] Kastamonu Univ, Dept Sustainable Agr & Nat Plant Resources, Inst Sci & Engn, Kastamonu, Turkey.
   [Cetin, Mehmet] Ondokuz Mayis Univ, Fac Architecture, Dept City & Reg Planning, Samsun, Turkey.
   [Varol, Tugrul] Fac Forestry, Dept Forest Engn, Bartin, Turkey.
   [Ozel, Halil Baris] Bartin Univ, Fac Forestry, Dept Forest Engn, Bartin, Turkey.
   [Sevik, Hakan] Kastamonu Univ, Fac Engn & Architecture, Dept Environm Engn, Kuzeykent Campus, TR-37150 Kastamonu, Turkey.
   [Cetin, Ilknur Zeren] Bartin Univ, Inst Grad Sch, Dept Forest Engn, Program Sustainable Forestry,YOK 100 2000 Scholar, Bartin, Turkey.
   [Cetin, Ilknur Zeren] Ondokuz Mayis Univ, Samsun Vocat Sch, Program Landscape & Ornamental Plants Cultivat, Dept Pk & Garden Plants, Samsun, Turkey.
C3 Kastamonu University; Ondokuz Mayis University; Bartin University;
   Kastamonu University; Bartin University; Ondokuz Mayis University
RP Cetin, IZ (corresponding author), Ondokuz Mayis Univ, Samsun Vocat Sch, Program Landscape & Ornamental Plants Cultivat, Dept Pk & Garden Plants, Samsun, Turkey.
EM mehmet.cetin.landscape.architect@gmail.com; hsevik@kastamonu.edu.tr;
   ilknur.cetin@omu.edu.tr
RI VAROL, TUĞRUL/AAF-3258-2020; OZEL, Halil Baris/AGD-8207-2022; cetin,
   mehmet/O-4016-2015; zeren cetin, ilknur/AAI-5908-2020; Sevik,
   Hakan/A-4706-2018
OI cetin, mehmet/0000-0002-8992-0289; OZEL, Prof. Dr. Halil
   Baris/0000-0001-9518-3281; zeren cetin, ilknur/0000-0003-3908-0370;
   Sevik, Hakan/0000-0003-1662-4830
FU Tubitak [YOK 100/2000]
FX Tubitak YOK 100/2000 Scholarship
CR Adiguzel F, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-10172-y
   Aiken GT, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.463
   Akkemik U., 2018, Natural-exotic Trees and Shrubs of Turkey, P684
   [Anonymous], 2017, ArcGIS Desktop: Release 10
   Booth TH, 2017, CLIMATIC CHANGE, V145, P259, DOI 10.1007/s10584-017-2107-9
   Sert EB, 2021, THEOR APPL CLIMATOL, V144, P103, DOI 10.1007/s00704-021-03524-0
   Brundu G, 2016, NEOBIOTA, P5, DOI 10.3897/neobiota.30.7015
   Canturk U, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-021-09546-5
   Cetin IZ, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-8029-4
   Cetin M, 2022, WATER AIR SOIL POLL, V233, DOI 10.1007/s11270-022-05738-y
   Cetin M, 2024, BIOMASS CONVERS BIOR, V14, P3785, DOI 10.1007/s13399-022-02334-2
   Cetin Mehmet, 2020, Turkish Journal of Agriculture - Food Science and Technology, V8, P2695, DOI 10.24925/turjaf.v8i12.2695-2701.3891
   Cetin M, 2018, FRESEN ENVIRON BULL, V27, P3206
   Dalfes H N., 2007, Climate Change Turkey: Impacts, Sectoral Analyses, Socio-Economic Dimensions
   Daniel CJ, 2017, FOREST ECOL MANAG, V400, P542, DOI 10.1016/j.foreco.2017.06.039
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   Editage, 2019, Technical Report
   Ertugrul M, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-020-08800-6
   Ertugrul M, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7946-6
   Eurostat, 2018, AIR EM ACC NACE REV
   Garzón MB, 2019, NEW PHYTOL, V222, P1757, DOI 10.1111/nph.15716
   Gómez-Pineda E, 2021, NEW FOREST, V52, P995, DOI 10.1007/s11056-021-09838-1
   Gómez-Pineda E, 2020, ECOL APPL, V30, DOI 10.1002/eap.2041
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hirata A, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0182837
   Huang SZ, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124687
   Iverson L, 2016, ECOSYSTEMS, V19, P248, DOI 10.1007/s10021-015-9929-y
   Li JJ, 2020, SCI TOTAL ENVIRON, V698, DOI 10.1016/j.scitotenv.2019.134141
   López-Tirado J, 2021, NEW FOREST, V52, P363, DOI 10.1007/s11056-020-09798-y
   Mataraci T., 2018, NATURAL EXOTIC TREES, P306
   Ning H, 2021, GLOB ECOL CONSERV, V25, DOI 10.1016/j.gecco.2020.e01420
   Oberle B, 2018, ECOSYSTEMS, V21, P85, DOI 10.1007/s10021-017-0136-x
   Ouyang LN, 2022, NEW FOREST, V53, P81, DOI 10.1007/s11056-021-09845-2
   Ozel HB, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-021-09178-9
   Ozel HB, 2021, BIOL FUTURA, V72, P359, DOI 10.1007/s42977-021-00085-1
   Peñuelas J, 2018, ENVIRON EXP BOT, V152, P49, DOI 10.1016/j.envexpbot.2017.05.012
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Popp A, 2017, GLOBAL ENVIRON CHANG, V42, P331, DOI 10.1016/j.gloenvcha.2016.10.002
   Quinto L, 2021, NEW FOREST, V52, P145, DOI 10.1007/s11056-020-09788-0
   Rahman M, 2018, FORESTS, V9, DOI 10.3390/f9120761
   Reed TE, 2011, CONSERV BIOL, V25, P56, DOI 10.1111/j.1523-1739.2010.01552.x
   Reeves MC, 2014, CLIMATIC CHANGE, V126, P429, DOI 10.1007/s10584-014-1235-8
   Rogelj J, 2018, NAT CLIM CHANGE, V8, P325, DOI 10.1038/s41558-018-0091-3
   Ruiz-Labourdette D, 2013, ECOL INDIC, V24, P310, DOI 10.1016/j.ecolind.2012.06.021
   Savas DS, 2021, ENVIRON SCI POLLUT R, V28, P55446, DOI 10.1007/s11356-021-14826-1
   Sevik H., 2015, Turkish Journal of Agriculture-Food Science and Technology, V3, P294, DOI [10.24925/turjaf.v3i5.294-299.190, DOI 10.24925/turjaf.v3i5.294-299.190, DOI 10.24925/TURJAF.V3I5.294-299.190]
   Sevik H, 2021, ENVIRON DEV SUSTAIN, V23, P6395, DOI 10.1007/s10668-020-00877-w
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   Toczydlowski AJZ, 2020, APPL SOIL ECOL, V153, DOI 10.1016/j.apsoil.2020.103565
   Torres-Dowdall J, 2012, EVOLUTION, V66, P3432, DOI 10.1111/j.1558-5646.2012.01694.x
   Turan E.S., 2018, J NATURAL HAZARDS EN, V4, P63, DOI [10.21324/dacd.357384, DOI 10.21324/DACD.357384, 10.213247/dacd.357384]
   UNDP, 2019, SMALL ISL NAT FRONTL
   Varol T, 2022, WATER AIR SOIL POLL, V233, DOI 10.1007/s11270-022-05516-w
   Varol T, 2021, FOREST ECOL MANAG, V491, DOI 10.1016/j.foreco.2021.119199
   Varol T, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7299-1
   Varol T, 2015, FRESEN ENVIRON BULL, V24, P3436
   Vilà-Cabrera A, 2018, FOREST ECOL MANAG, V407, P16, DOI 10.1016/j.foreco.2017.10.021
   Walker AP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08348-1
   Webster M, 2018, NAT CLIM CHANGE, V8, P946, DOI 10.1038/s41558-018-0286-7
   Yigit N., 2016, Water stress in plants, V43, P62
   Yigit N, 2021, BIORESOURCES, V16, P5862, DOI 10.15376/biores.16.3.5862-5874
   Yu L, 2006, ECOL RES, V21, P912, DOI 10.1007/s11284-006-0042-8
   Cetin IZ, 2020, AIR QUAL ATMOS HLTH, V13, P1013, DOI 10.1007/s11869-020-00871-1
NR 64
TC 49
Z9 52
U1 3
U2 37
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 0049-6979
EI 1573-2932
J9 WATER AIR SOIL POLL
JI Water Air Soil Pollut.
PD SEP
PY 2022
VL 233
IS 9
AR 385
DI 10.1007/s11270-022-05851-y
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences; Water
   Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences;
   Water Resources
GA 4I8BW
UT WOS:000850800200001
DA 2025-01-10
ER

PT J
AU Griffin, A
   Kay, A
   Stewart, L
   Spencer, P
AF Griffin, Adam
   Kay, Alison
   Stewart, Lisa
   Spencer, Peter
TI Climate change allowances, non-stationarity and flood frequency analyses
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article; Early Access
DE climate change; extreme value statistics; risk assessment
AB When considering future adaptation to climate change in UK fluvial flood alleviation schemes, the current recommendation by the Environment Agency (England) is to increase peak design flood flows by a preselected percentage. This allowance varies depending on the period for which the estimate is being made, the vulnerability of the development being considered and its location. Recently, questions have been raised as to whether these percentage uplifts should be kept the same, or whether change has already happened within the baseline period and so uplifts should be reduced. A complicating factor is that changes in flood frequency can occur for reasons in addition to climate change, such as land-use change or natural variability. This article describes current approaches taken by different stakeholders for catchments in England and Wales to account for climate change, and discusses these allowances where there is already an observed presence of trend in flood regimes. Theil-Sen estimators of trend were used in comparing non-stationary and stationary flood frequency curves with allowances applied, leading to a recommendation of evaluating non-stationary models at 1990, the end of the reference period. Examples were explored such as the Eden catchment, which was heavily affected by Storm Desmond in December 2015.
C1 [Griffin, Adam; Kay, Alison; Stewart, Lisa] UK Ctr Ecol & Hydrol, Crowmarsh Gifford OX10 8BB, Oxon, England.
   [Spencer, Peter] Environm Agcy, Warrington, Cheshire, England.
C3 UK Centre for Ecology & Hydrology (UKCEH)
RP Griffin, A (corresponding author), UK Ctr Ecol & Hydrol, Crowmarsh Gifford OX10 8BB, Oxon, England.
EM adagri@ceh.ac.uk
RI Griffin, Adam/ABA-6151-2020; Kay, Alison/D-1981-2012
OI Kay, Alison/0000-0002-5526-1756
CR [Anonymous], 2018, UKCP18 Probabilistic Climate Projections
   [Anonymous], 1997, REGIONAL FREQUENCY A, DOI DOI 10.1017/CBO9780511529443
   Coles S.G., 1999, Extremes, V2, P5, DOI DOI 10.1023/A:1009905222644
   El Adlouni S, 2007, WATER RESOUR RES, V43, DOI 10.1029/2005WR004545
   Environment Agency, 2021, PEAK RIVER FLOW ALLO
   Environment Agency, 2020, FLOOD ESTIMATION GUI
   Environment Agency, 2016, ADAPTING CLIMATE CHA
   Environment Agency, 2020, DEV INTERIM NATL GUI
   Environment Agency, 2020, FLOOD RISK ASSESSMEN
   Environment Agency, 2021, FLOOD COASTAL RISK P
   François B, 2019, J HYDROL, V574, P557, DOI 10.1016/j.jhydrol.2019.04.068
   Griffin A, 2019, NAT HAZARD EARTH SYS, V19, P2157, DOI [10.5194/nhess-19-2157-2019,2019, 10.5194/nhess-19-2157-2019]
   Harrigan S, 2018, HYDROL RES, V49, P552, DOI 10.2166/nh.2017.058
   Institute of Hydrology, 1999, FLOOD ESTIMATION HDB
   Jones DA, 2013, HYDROL RES, V44, P571, DOI 10.2166/nh.2012.081
   Kay AL, 2021, CLIM RISK MANAG, V31, DOI 10.1016/j.crm.2020.100263
   Kay AL, 2014, REG ENVIRON CHANGE, V14, P1215, DOI 10.1007/s10113-013-0563-y
   Kay A.L., 2020, REPORT ENV AGENCYSCO
   Kay AL., 2011, FD2648 CEH DEP ENV F, P209
   Kjeldsen T.R., 2008, SCI REPORT SC050050, P137
   Macdonald N, 2014, NAT HAZARD EARTH SYS, V14, P2817, DOI 10.5194/nhess-14-2817-2014
   Macdonald N, 2017, HYDROL EARTH SYST SC, V21, P1631, DOI 10.5194/hess-21-1631-2017
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Prosdocimi I, 2015, WATER RESOUR RES, V51, P4244, DOI 10.1002/2015WR017065
   Prosdocimi I, 2019, GEOPHYS RES LETT, V46, P13054, DOI 10.1029/2019GL085142
   Reynard NS, 2017, PROG PHYS GEOG, V41, P222, DOI 10.1177/0309133317702566
   Wallingford Hydrosolutions, 2019, WINFAP 4 SOFTWARE VE
   Wasko C, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2019.0548
   Wine ML, 2019, HYDROL PROCESS, V33, P2148, DOI 10.1002/hyp.13483
   Yan L, 2017, J HYDROL, V551, P132, DOI 10.1016/j.jhydrol.2017.06.001
NR 30
TC 3
Z9 3
U1 1
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
J9 J FLOOD RISK MANAG
JI J. Flood Risk Manag.
PD 2022 JAN 11
PY 2022
AR e12783
DI 10.1111/jfr3.12783
EA JAN 2022
PG 12
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA YE7EV
UT WOS:000741285000001
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Preston, BJ
AF Preston, Brian J.
TI The Influence of the Paris Agreement on Climate Litigation: Legal
   Obligations and Norms (Part I)
SO JOURNAL OF ENVIRONMENTAL LAW
LA English
DT Article
DE Paris Agreement; Climate Litigation; Legal Obligations; Domestic
   Incorporation; Norms; Judicial Decision-making
AB The Paris Agreement is the first universal climate change agreement requiring all parties to communicate ambitious greenhouse gas (GHG) reduction targets to achieve a long-term global temperature goal. The Paris Agreement is a game-changer at the international level, but has it been at the national (and sub-national) level? What has been the influence of the Paris Agreement on litigation to improve mitigation of, and adaptation to, climate change? This question is addressed in two articles. Both articles seek to look at a familiar topic-the Paris Agreement and climate litigation-in new and fresh ways. This first article examines how the Paris Agreement is directly implemented through incorporation into the domestic laws of the signatories as well as indirectly implemented through judicial decision-making in accordance with norms under the Paris Agreement. First, the article examines the international obligations created by the Paris Agreement, noting the flexible nature of the agreement and wide margin of discretion left to parties. Secondly, it explores how the Paris Agreement is incorporated in domestic laws and policies. The potential for litigation based on these international and domestic obligations will be considered. Thirdly, it discusses the courts' application of norms under the Paris Agreement.
C1 [Preston, Brian J.] Land & Environm Court New South Wales, Sydney, NSW, Australia.
RP Preston, BJ (corresponding author), Land & Environm Court New South Wales, Sydney, NSW, Australia.
EM chiefjudgeassociate@courts.nsw.gov.au
RI Preston, Brian/HKP-2441-2023
CR [Anonymous], 2018, Global warming of 1.5C
   [Anonymous], J ENV LAW
   [Anonymous], 1994, 1867U.N.T.S.154
   [Anonymous], TELEGRAPH
   Barker Sarah, 2018, DIRECTORS LIABILITY, P7
   Bell Joanna, 2020, MODERN L REV, V83, P5
   Biniaz S, 2018, AUST LAW J, V92, P750
   Biniaz Susan, 2018, ALJ, V92, P754
   Bodansky D., 2015, WORKABLE EFFECTIVE C, P155
   Burger M., 2017, The status of climate change litigation: A global review
   Calabro A, 2018, AUST LAW J, V92, P814
   Carnwath L, 2016, J ENVIRON LAW, V28, P5, DOI 10.1093/jel/eqw009
   Charlesworth Hilary, 2005, PRECEDENT, V68, P20
   Charlesworth Hilary, 2005, PRECEDENT, V68, P21
   Climate Action Tracker, 2019, CLIM CRIS DEM MOR GO, P4
   Crawford James, 2019, BROWNLIES PRINCIPLES, V9th, P54
   Daniel S, 2017, PHYS REV LETT, V119, DOI 10.1103/PhysRevLett.119.253901
   Estrin David, 2016, CIGI PAPERS
   Gerrard Michael, 2015, LEGAL IMPLICATIONS P
   Justin GSC, 2017, PUBLIC LAW REV, V28, P25
   Heyvaert V., 2020, RES HDB TRANSNATIONA
   Heyvaert V, 2012, TRANSNATL ENVIRON LA, V1, P1, DOI 10.1017/S2047102512000027
   Hughes L, 2019, J ENERGY NAT RESO LA, V37, P341, DOI 10.1080/02646811.2019.1600272
   IPC, 2019, 7142 IPC SSD
   IPC, 2019, UN WAMB OP CUT COAL
   Jaeger C, 2010, CLIM CHANG ECON, V1, P145, DOI 10.1142/S2010007810000133
   Lovric Daniel., 2006, AUSTR YB INT LAW, V25, P75
   Malte M, 2009, NATURE, V458, P1158, DOI DOI 10.1038/NATURE08017
   McGlade C, 2015, NATURE, V517, P187, DOI 10.1038/nature14016
   McGowan M., 2019, The Guardian
   Morris David, 2019, IPC CONSIDERS LINKIN
   Nordhaus W., 1977, Strategies for the Control of Carbon Dioxide (Cowles Foundation Discussion Papers)
   Palmer Geoffrey, 2016, NZLJ, P152
   Paris AH, 2007, COGNITION INSTRUCT, V25, P1, DOI 10.1080/07370000709336701
   Peel J., 2015, CLIMATE CHANGE LITIG, P20
   Peel J, 2017, MELB UNIV LAW REV, V41, P793
   Preston Brian, 2013, ASIA PACIFIC J ENV L, V16, P4
   Preston Brian J., 2013, ASIA PAC J ENVIRON, V16, P1
   Reid Colin T, 2012, PL, p[2, 749]
   Rogelj J, 2018, GLOBAL WARMING 1 5 C, P104
   Saiger Anna Julia, 2020, TEL, V9, P1
   Saiger Anna Julia, 2020, TEL, V9, P38
   Setzer J., 2020, Global Trends in Climate Change Litigation: 2020 Snapshot
   Spier J, 2019, J ENERGY NAT RESO LA, V37, P181, DOI 10.1080/02646811.2019.1565197
   Starke J.G., 1936, British Yearbook of International Law, P66
   Starke JG, 1936, BRIT YB INT L, V17, P67
   State of NSW and Office of Environment and Heritage, 2016, Climate Change Policy Framework, P4
   Winter Gerd, 2020, TEL, V9, P1
   Winter Gerd, 2020, TEL, V9, P138
NR 49
TC 27
Z9 27
U1 32
U2 173
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0952-8873
EI 1464-374X
J9 J ENVIRON LAW
JI J. Environ. Law
PD MAR
PY 2021
VL 33
IS 1
BP 1
EP 32
DI 10.1093/jel/eqaa020
PG 32
WC Environmental Sciences; Environmental Studies; Law; Multidisciplinary
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law; Science & Technology
   - Other Topics
GA RZ9YX
UT WOS:000648957400001
DA 2025-01-10
ER

PT J
AU Hollarsmith, JA
   Buschmann, AH
   Camus, C
   Grosholz, ED
AF Hollarsmith, Jordan A.
   Buschmann, Alejandro H.
   Camus, Carolina
   Grosholz, Edwin D.
TI Varying reproductive success under ocean warming and acidification
   across giant kelp (<i>Macrocystis</i> <i>pyrifera</i>) populations
SO JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY
LA English
DT Article
DE Giant kelp; Global warming; Ocean acidification; Local adaptation;
   Reproduction; Gametophyte
ID LOCAL ADAPTATION; INCREASED TEMPERATURE; CONTINENTAL-SHELF;
   GENETIC-STRUCTURE; CLIMATE-CHANGE; CARBONIC-ACID; CALIFORNIA; GROWTH;
   PCO(2); CONSEQUENCES
AB Understanding how climate change may influence ecosystems depends substantially on its effects on foundation species, such as the ecologically important giant kelp (Macrocystis pyrifera). Despite its broad distribution along strong temperature and pH gradients and strong barriers to dispersal, the potential for local adaptation to climate change variables among kelp populations remains poorly understood. We assessed this potential by exposing giant kelp early life stages from genetically disparate populations in Chile and California to current and projected temperature and pH levels in common garden experiments. We observed high resistance at the haploid life stage to elevated temperatures with developmental failure appearing at the egg and sporophyte production stages among Chilean and high-latitude California populations, suggesting a greater vulnerability to climate- or ENSO-driven warming events. Additionally, populations that experience low pH events via strong upwelling, internal waves, or estuarine processes, produced more eggs per female under experimental low-pH conditions, which could increase fertilization success. These results enhance our ability to predict population extinctions and ecosystem range shifts under projected declines in ocean pH and increases in ocean temperature.
C1 [Hollarsmith, Jordan A.; Grosholz, Edwin D.] Univ Calif Bodega, Marine Lab, 2099 Westshore Rd, Bodega Bay, CA 94923 USA.
   [Hollarsmith, Jordan A.; Grosholz, Edwin D.] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
   [Buschmann, Alejandro H.; Camus, Carolina] Univ Los Lagos, Ctr I Mar, Camino Chinquihue Km 6, Puerto Montt, Chile.
   [Buschmann, Alejandro H.; Camus, Carolina] Univ Los Lagos, CeBiB, Camino Chinquihue Km 6, Puerto Montt, Chile.
C3 University of California System; University of California Davis;
   Universidad de Los Lagos; Universidad de Los Lagos
RP Hollarsmith, JA (corresponding author), 2099 Westshore Rd, Bodega Bay, CA 94923 USA.
EM jahollarsmith@ucdavis.edu; abuschma@ulagos.cl; carolina.camus@ulagos.cl;
   tedgrosholz@ucdavis.edu
RI Buschmann, Alejandro/B-4770-2012; Camus, Carolina/B-7231-2018
OI Buschmann, Alejandro/0000-0003-3246-681X
FU National Science Foundation Graduate Research Opportunities Worldwide
   (GROW) fellowship; Comision Nacional de Investigacion Cientifica y
   Tecnologica (CONICYT-Chile) Fund for Exploration; Point Reyes National
   Marine Sanctuary Neubacher Fund; University of California-Davis Henry A.
   Jastro Research Fellowship
FX This work was supported by National Science Foundation Graduate Research
   Opportunities Worldwide (GROW) fellowship and the Comision Nacional de
   Investigacion Cientifica y Tecnologica (CONICYT-Chile) Fund for
   Exploration, the Point Reyes National Marine Sanctuary Neubacher Fund,
   and the University of California-Davis Henry A. Jastro Research
   Fellowship.
CR [Anonymous], AER KELP SURV GIS SH
   [Anonymous], P 37 C CIENC MAR 201
   [Anonymous], QUINTAY BUOY A UNPUB
   [Anonymous], J STAT SOFTW, DOI DOI 10.18637/JSS.V067.I01
   [Anonymous], 1972, P C CONSERVATION PRO
   Bakun A, 2015, CURR CLIM CHANGE REP, V1, P85, DOI 10.1007/s40641-015-0008-4
   Brzezinski MA, 2013, OCEANOGRAPHY, V26, P114, DOI 10.5670/oceanog.2013.53
   Buckley LB, 2012, ANNU REV ECOL EVOL S, V43, P205, DOI 10.1146/annurev-ecolsys-110411-160516
   Buschmann AH, 2004, MAR BIOL, V145, P849, DOI 10.1007/s00227-004-1393-8
   Camus C, 2018, ALGAL RES, V30, P101, DOI 10.1016/j.algal.2018.01.004
   Camus C, 2018, REV AQUACULT, V10, P543, DOI 10.1111/raq.12185
   Cavanaugh KC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00413
   Chan F, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02777-y
   Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cheng LJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601545
   Császár NBM, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009751
   D'Croz L, 2004, CORAL REEFS, V23, P473, DOI 10.1007/s00338-004-0397-7
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   DEAN TA, 1986, MAR BIOL, V90, P597, DOI 10.1007/BF00409280
   Demes KW, 2009, J PHYCOL, V45, P1266, DOI 10.1111/j.1529-8817.2009.00752.x
   Di Lorenzo E, 2005, J PHYS OCEANOGR, V35, P336, DOI 10.1175/JPO-2690.1
   Di Lorenzo E, 2016, NAT CLIM CHANGE, V6, P1042, DOI [10.1038/NCLIMATE3082, 10.1038/nclimate3082]
   Dickson A.G., 2007, Guide to best practices for ocean CO2 measurements
   DICKSON AG, 1987, DEEP-SEA RES, V34, P1733, DOI 10.1016/0198-0149(87)90021-5
   Gaitán-Espitia JD, 2014, J EXP MAR BIOL ECOL, V457, P51, DOI 10.1016/j.jembe.2014.03.018
   Echevin V, 2012, CLIM DYNAM, V38, P761, DOI 10.1007/s00382-011-1085-2
   Ellison AM, 2005, FRONT ECOL ENVIRON, V3, P479, DOI 10.1890/1540-9295(2005)003[0479:LOFSCF]2.0.CO;2
   Feely RA, 2008, SCIENCE, V320, P1490, DOI 10.1126/science.1155676
   Fernández PA, 2015, PHOTOSYNTH RES, V124, P293, DOI 10.1007/s11120-015-0138-5
   Fram JP, 2008, LIMNOL OCEANOGR, V53, P1589, DOI 10.4319/lo.2008.53.4.1589
   Frieder CA, 2012, BIOGEOSCIENCES, V9, P3917, DOI 10.5194/bg-9-3917-2012
   García-Reyes M, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005576
   García-Reyes M, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00109
   Gaylord B, 2006, ECOL MONOGR, V76, P481, DOI 10.1890/0012-9615(2006)076[0481:MSDICE]2.0.CO;2
   Gentemann CL, 2017, GEOPHYS RES LETT, V44, P312, DOI 10.1002/2016GL071039
   Gonzalez A, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0404
   González CP, 2018, MAR POLLUT BULL, V135, P694, DOI 10.1016/j.marpolbul.2018.07.072
   Graham MH, 2007, OCEANOGR MAR BIOL, V45, P39
   Gruber N, 2012, SCIENCE, V337, P220, DOI 10.1126/science.1216773
   Hämmerli A, 2002, MAR ECOL PROG SER, V242, P111, DOI 10.3354/meps242111
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Herring SC, 2015, B AM METEOROL SOC, V96, pS1, DOI 10.1175/BAMS-D-15-00157.1
   HOFFMANN AJ, 1991, MAR ECOL PROG SER, V79, P185, DOI 10.3354/meps079185
   Hofmann GE, 2014, BIOGEOSCIENCES, V11, P1053, DOI 10.5194/bg-11-1053-2014
   HUGHES TP, 1994, SCIENCE, V265, P1547, DOI 10.1126/science.265.5178.1547
   Johansson ML, 2015, MOL ECOL, V24, P4866, DOI 10.1111/mec.13371
   King NG, 2019, J EXP MAR BIOL ECOL, V514, P10, DOI 10.1016/j.jembe.2019.03.004
   King NG, 2018, ECOGRAPHY, V41, P1469, DOI 10.1111/ecog.03186
   KOPCZAK CD, 1991, J PHYCOL, V27, P149, DOI 10.1111/j.0022-3646.1991.00149.x
   Kram S.L., 2016, Scripps Ocean Acidification Real-time (SOAR) Dataset
   Ladah LB, 1999, J PHYCOL, V35, P1106, DOI 10.1046/j.1529-8817.1999.3561106.x
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Ling SD, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0269
   Lucas A.J., 2011, LIMNOLOGY OCEANOGRAP, V1, P56, DOI [DOI 10.1215/21573698-1258185, 10.1215/21573698-1258185]
   Macaya EC, 2010, MAR ECOL PROG SER, V420, P103, DOI 10.3354/meps08893
   Mayol E, 2012, BIOGEOSCIENCES, V9, P1183, DOI 10.5194/bg-9-1183-2012
   MEHRBACH C, 1973, LIMNOL OCEANOGR, V18, P897, DOI 10.4319/lo.1973.18.6.0897
   Montecinos A, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017345
   MULLER DG, 1985, PHYCOLOGIA, V24, P475, DOI 10.2216/i0031-8884-24-4-475.1
   Muñoz V, 2004, REV CHIL HIST NAT, V77, P639
   Muth AF, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2594
   Narváez DA, 2004, CONT SHELF RES, V24, P279, DOI 10.1016/j.csr.2003.09.008
   Oliver ECJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms16101
   Palma S, 2004, DEEP-SEA RES PT II, V51, P513, DOI 10.1016/j.dsr2.2004.05.001
   REED DC, 1990, ECOLOGY, V71, P776, DOI 10.2307/1940329
   Riebesell U, 2011, GUIDE BEST PRACTICES
   Roleda MY, 2012, GLOBAL CHANGE BIOL, V18, P854, DOI 10.1111/j.1365-2486.2011.02594.x
   ROSENFELD LK, 1994, CONT SHELF RES, V14, P931, DOI 10.1016/0278-4343(94)90058-2
   Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
   Sanford E, 2011, ANNU REV MAR SCI, V3, P509, DOI 10.1146/annurev-marine-120709-142756
   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]
   Shukla P, 2017, PHYCOLOGIA, V56, P638, DOI 10.2216/16-120.1
   Silva N, 2014, PROG OCEANOGR, V129, P62, DOI 10.1016/j.pocean.2014.05.016
   Smale DA, 2019, NAT CLIM CHANGE, V9, P306, DOI 10.1038/s41558-019-0412-1
   Sobarzo M, 2007, PROG OCEANOGR, V75, P363, DOI 10.1016/j.pocean.2007.08.022
   Starko S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0213191
   Sunday JM, 2017, NAT CLIM CHANGE, V7, P81, DOI [10.1038/NCLIMATE3161, 10.1038/nclimate3161]
   Vargas CA, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0084
   Walter RK, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008115
NR 80
TC 45
Z9 50
U1 1
U2 91
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-0981
EI 1879-1697
J9 J EXP MAR BIOL ECOL
JI J. Exp. Mar. Biol. Ecol.
PD JAN
PY 2020
VL 522
AR 151247
DI 10.1016/j.jembe.2019.151247
PG 9
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA JS5VF
UT WOS:000500373400001
DA 2025-01-10
ER

PT J
AU Hu, J
AF Hu, Jie
TI COMPARISON OF BUILDING RESILIENCE IN THE INTERNATIONAL TYPICAL GREEN
   BUILDING EVALUATION SYSTEM BASED ON THE CONCEPT OF ECOLOGICAL AND
   ENVIRONMENTAL PROTECTION
SO FRESENIUS ENVIRONMENTAL BULLETIN
LA English
DT Article
DE Green building evaluation system; building elasticity; climate change;
   comparative analysis; evaluation index; eco-logical and environmental
   protection
ID SUSTAINABILITY
AB In the severe situation of global climate change, the concept of "building resilience" came into being, aiming to improve the ability of buildings to withstand and adapt to increasingly frequent and severe catastrophic climate events. In this article, we summarized the general principles and strategies of "building resilience", and divide the "resilience" strategy into five categories: site, energy, water resources, structure and materials, and health. The British BREEAM, the US LEED, and the Chinese green building evaluation standards were selected, and the distribution of the content, quantity, and weight of the indicators invoking "resilience" strategies in these three types of evaluation systems were compared and analyzed. The "resilience" strategy of structure and material occupies the largest proportion of content and score in the three types of evaluation systems, followed by the site category. In addition, compared to other systems, the content of "building resilience" in BREEAM has the largest proportion, and it has set a secondary index to adapt to climate change. Finally, a rationalization proposal for further improving China's existing green building evaluation system in the context of climate change is proposed.
C1 [Hu, Jie] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China.
C3 Xi'an University of Architecture & Technology
RP Hu, J (corresponding author), Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China.
EM panghong3372@163.com
CR [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Champagne CL, 2016, PROCEDIA ENGINEER, V145, P380, DOI 10.1016/j.proeng.2016.04.095
   Hewitt E, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101546
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huck A, 2020, CITIES, V98, DOI 10.1016/j.cities.2019.102573
   IPCC, 2014, FIN DRAFT UND SCI TE
   Ladipo O, 2019, J BUILD ENG, V21, P446, DOI 10.1016/j.jobe.2018.11.007
   Mosalam KM, 2018, STRUCT SAF, V74, P1, DOI 10.1016/j.strusafe.2018.03.005
   Phillips R, 2017, ENERG BUILDINGS, V146, P295, DOI 10.1016/j.enbuild.2017.04.009
   Rambhia KJ, 2011, BIOSECUR BIOTERROR, V9, P80
   Richard D., 2010, INT J CONSTRUCTION E, V6, P165
   Roostaie S, 2019, BUILD ENVIRON, V154, P132, DOI 10.1016/j.buildenv.2019.02.042
   Schweber L, 2013, BUILD RES INF, V41, P129, DOI 10.1080/09613218.2013.768495
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   Valcamonico D, 2020, RELIAB ENG SYST SAFE, V197, DOI 10.1016/j.ress.2020.106800
   Varma CRS, 2019, HABITAT INT, V89, DOI 10.1016/j.habitatint.2019.05.008
   Wu ZZ, 2016, J CLEAN PROD, V112, P895, DOI 10.1016/j.jclepro.2015.05.073
   Yueer H., 2016, HVAC, V6, P79
   [赵敬源 Zhao Jingyuan], 2017, [西安建筑科技大学学报. 自然科学版, Journal of Xi'an University of Architecture & Technology. Natural Science Edition], V49, P408
   [赵秀秀 Zhao Xiuxiu], 2016, [建筑科学, Building Science], V32, P136
   Zobel CW, 2011, DECIS SUPPORT SYST, V50, P394, DOI 10.1016/j.dss.2010.10.001
NR 22
TC 9
Z9 9
U1 0
U2 12
PU PARLAR SCIENTIFIC PUBLICATIONS (P S P)
PI FREISING
PA ANGERSTR. 12, 85354 FREISING, GERMANY
SN 1018-4619
EI 1610-2304
J9 FRESEN ENVIRON BULL
JI Fresenius Environ. Bull.
PY 2020
VL 29
IS 8
BP 7147
EP 7155
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA QX2KW
UT WOS:000629177800087
DA 2025-01-10
ER

PT J
AU Yu, XH
   Luo, HR
   Wang, HJ
   Feil, JH
AF Yu, Xiaohua
   Luo, Hengrong
   Wang, Hanjie
   Feil, Jan-Henning
TI Climate change and agricultural trade in central Asia: evidence from
   Kazakhstan
SO ECOSYSTEM HEALTH AND SUSTAINABILITY
LA English
DT Article
DE Climate change; cereal trade; adaptation; gravity model; Kazakhstan
ID GRAVITY EQUATION; ADAPTATION; IMPACT; MODEL
AB Agriculture in Central Asia faces tremendous challenges due to climate change. International agricultural trade is seen in the literature as a potential adaption to climate change. However, little attention has been paid to the effect of climate change on cereal trade in Central Asia. This study takes Kazakhstan as an example to empirically analyze the effect of climate change on cereal trade by including them as determinants in the gravity model. Our results show that climatic changes in Kazakhstan, measured by precipitation and temperature, could increase the export of wheat and rice and the import of maize, and decrease the import of wheat. Specifically, as a major crop in Kazakhstan, increasing precipitation by 1 millimeter during the major cropping season from May to August, will significantly enhance export of wheat by 0.7% and reduce the import by 1.7%; increasing temperature by 1 degrees C during the same cropping season will significantly increase export of wheat by 21.9% and reduce the import by 49.4%. As an important cereal trade country in the world, the dramatic adjustments of cereal trade patterns resulting from climate change in Kazakhstan might affect global food security.
C1 [Yu, Xiaohua; Luo, Hengrong; Wang, Hanjie; Feil, Jan-Henning] Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany.
C3 University of Gottingen
RP Wang, HJ (corresponding author), Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany.
EM hanjie.wang@agr.uni-goettingen.de
RI Yu, Xiaohua/LYO-0402-2024
OI Yu, Xiaohua/0000-0003-4257-8081; Yu, Xiaohua/0000-0002-1467-4829
CR Adams RM, 1998, CLIMATE RES, V11, P19, DOI 10.3354/cr011019
   Ahmed M, 2016, COMPUT ELECTRON AGR, V123, P384, DOI 10.1016/j.compag.2016.03.015
   An G, 2009, ECON DEV Q, V23, P167, DOI 10.1177/0891242408328604
   Anderson JE, 2003, AM ECON REV, V93, P170, DOI 10.1257/000282803321455214
   Anderson JE, 2002, REV ECON STAT, V84, P342, DOI 10.1162/003465302317411587
   [Anonymous], 1967, J ROYAL STAT SOC SER, DOI [10.2307/140051, DOI 10.2307/140051]
   Baldos ULC, 2014, AUST J AGR RESOUR EC, V58, P554, DOI 10.1111/1467-8489.12048
   Barrios S, 2008, FOOD POLICY, V33, P287, DOI 10.1016/j.foodpol.2008.01.003
   BERGSTRAND JH, 1985, REV ECON STAT, V67, P474, DOI 10.2307/1925976
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Chaney T, 2008, AM ECON REV, V98, P1707, DOI 10.1257/aer.98.4.1707
   Chen MP, 2015, CLIMATIC CHANGE, V128, P367, DOI 10.1007/s10584-014-1163-7
   Crost B, 2018, J ENVIRON ECON MANAG, V88, P379, DOI 10.1016/j.jeem.2018.01.005
   Fontagné L, 2005, CAN J ECON, V38, P1401, DOI 10.1111/j.0008-4085.2005.00330.x
   Fontagne Lionel., 1998, INTRAINDUSTRY TRADE
   Frankel J., 2000, 7857 NBER
   Gómez-Herrera E, 2013, EMPIR ECON, V44, P1087, DOI 10.1007/s00181-012-0576-2
   Hamidov A, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-015-0337-7
   Hasiner E, 2019, INT J EMERG MARK, V14, P231, DOI 10.1108/IJoEM-11-2016-0290
   Hasiner E, 2020, CHINA ECON REV, V59, DOI 10.1016/j.chieco.2016.06.008
   Haveman J, 2004, CAN J ECON, V37, P199, DOI 10.1111/j.0008-4085.2004.011_1.x
   Helpman E, 2008, Q J ECON, V123, P441, DOI 10.1162/qjec.2008.123.2.441
   Holst R, 2013, J INTEGR AGR, V12, P1279, DOI 10.1016/S2095-3119(13)60435-9
   Huang H, 2011, FOOD POLICY, V36, pS9, DOI 10.1016/j.foodpol.2010.10.008
   Isard W, 1954, Q J ECON, V68, P305, DOI 10.2307/1884452
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Konar M, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010307
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mizina S.V., 1999, MITIG ADAPT STRATEG, V4, P25, DOI [DOI 10.1023/A:1009626526883, 10.1023/A:1009626526883]
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Ouraich I, 2019, J NORTH AFR STUD, V24, P961, DOI 10.1080/13629387.2018.1463847
   Prehn S, 2016, APPL ECON LETT, V23, P761, DOI 10.1080/13504851.2015.1105916
   Rashid K., 2011, Pakistan Journal of Meteorology, V8, P63
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Schwan S, 2018, INT J CLIM CHANG STR, V10, P43, DOI 10.1108/IJCCSM-01-2017-0019
   Silva JMCS, 2006, REV ECON STAT, V88, P641, DOI 10.1162/rest.88.4.641
   Singh R, 2010, J AGROMETEOROL, V12, P121
   Tian X, 2017, EMERG MARK FINANC TR, V53, P1603, DOI 10.1080/1540496X.2016.1179627
   Walthall CL, 2013, USDA TECHNICAL B
   Wheaton E., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P215, DOI DOI 10.1023/A:1009660700150
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
NR 42
TC 12
Z9 12
U1 8
U2 59
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 2096-4129
EI 2332-8878
J9 ECOSYST HEALTH SUST
JI Ecosyst. Health Sustain.
PY 2020
VL 6
IS 1
AR 1766380
DI 10.1080/20964129.2020.1766380
PG 9
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA NU2ZW
UT WOS:000573512600001
OA gold
DA 2025-01-10
ER

PT S
AU Thomas, DSG
   Twyman, C
   Osbahr, H
   Hewitson, B
AF Thomas, David S. G.
   Twyman, Chasca
   Osbahr, Henny
   Hewitson, Bruce
BE Williams, CJR
   Kniveton, DR
TI Adaptation to Climate Change and Variability: Farmer Responses to
   Intra-seasonal Precipitation Trends in South Africa
SO AFRICAN CLIMATE AND CLIMATE CHANGE: PHYSICAL, SOCIAL AND POLITICAL
   PERSPECTIVES
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE South Africa; Climate change; Adaptation strategies; Coping mechanisms;
   Farmer responses; Perception; Self-organising mapping
ID TROPICAL-TEMPERATE LINKS; SELF-ORGANIZING MAPS; SUSTAINABLE DEVELOPMENT;
   KAJIADO DISTRICT; HUMAN-GEOGRAPHY; DAILY RAINFALL; VULNERABILITY;
   STRATEGIES; DROUGHT; SOCIETY
AB We describe the nature of recent (50 year) rainfall variability in the summer rainfall zone, South Africa, and how variability is recognised and responded to on the ground by farmers. Using daily rainfall data and self organising mapping (SOM) we identify 12 internally homogeneous rainfall regions displaying differing parameters of precipitation change. Three regions, characterised by changing onset and timing of rains, rainfall frequencies and intensities, in Limpopo, North West and KwaZulu Natal provinces, were selected to investigate farmer perceptions of, and responses to, rainfall parameter changes. Village and household level analyses demonstrate that the trends and variabilities in precipitation parameters differentiated by the SOM analysis were clearly recognised by people living in the areas in which they occurred. A range of specific coping and adaptation strategies are employed by farmers to respond to climate shifts, some generic across regions and some facilitated by specific local factors. The study has begun to understand the complexity of coping and adaptation, and the factors that influence the decisions that are taken.
C1 [Thomas, David S. G.] Univ Oxford, Sch Geog, Ctr Environm, Oxford OX1 3QY, England.
   [Hewitson, Bruce] Univ Cape Town, Dept Environm & Geog Sci, ZA-7925 Cape Town, South Africa.
   [Twyman, Chasca] Univ Sheffield, Dept Geog, Sheffield S10 2TN, S Yorkshire, England.
C3 University of Oxford; University of Cape Town; University of Sheffield
RP Thomas, DSG (corresponding author), Univ Oxford, Sch Geog, Ctr Environm, Oxford OX1 3QY, England.
EM david.thomas@ouce.ox.ac.uk; C.Twyman@sheflield.ac.uk;
   h.oshahr@reading.ac.uk; climate@csag.cict.ac.za
RI ; Hewitson, Bruce/B-3295-2014
OI Osbahr, Henny/0000-0002-0130-2313; Hewitson, Bruce/0000-0001-7546-4430
CR Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   [Anonymous], 3 INT PAN CLIM CHANG
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   BERRY S, 1989, AFRICA, V59, P41, DOI 10.2307/1160762
   Bratton M., 1987, Drought and hunger in Africa: denying famine a future, P213
   Brown JD, 2004, T I BRIT GEOGR, V29, P367, DOI 10.1111/j.0020-2754.2004.00342.x
   Bulkeley H, 2001, T I BRIT GEOGR, V26, P430, DOI 10.1111/1475-5661.00033
   CAMPBELL DJ, 1991, CENTENNIAL REV, V35, P295
   Campbell DJ, 1999, HUM ECOL, V27, P377, DOI 10.1023/A:1018789623581
   CHAMBERS R, 1995, 347 IDS SUSSEX U
   Cook C, 2004, CLIM RES, V26, P17, DOI 10.3354/cr026017
   CORBETT J, 1988, WORLD DEV, V16, P1099, DOI 10.1016/0305-750X(88)90112-X
   Crane RG, 2003, CLIMATE RES, V25, P95, DOI 10.3354/cr025095
   Demeritt D, 2002, AREA, V34, P229, DOI 10.1111/1475-4762.00077
   DESANKER P, 2001, CLIMATE CHANGE 2001, P489
   Dessai S, 2003, 34 UEA TYND CTR CLIM
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Hewitson BC, 2002, CLIMATE RES, V22, P13, DOI 10.3354/cr022013
   HUG S, 2004, IDS BULL-I DEV STUD, V35, P15
   Hulme M, 2003, PHILOS T ROY SOC A, V361, P2001, DOI 10.1098/rsta.2003.1239
   Kasperson R.E., 2001, GLOBAL ENV RISK
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Levey KM, 1996, J CLIMATE, V9, P1910, DOI 10.1175/1520-0442(1996)009<1910:CIOOCO>2.0.CO;2
   Mason SJ, 1999, CLIMATIC CHANGE, V41, P249, DOI 10.1023/A:1005450924499
   Mason SJ, 1997, PROG PHYS GEOG, V21, P23, DOI 10.1177/030913339702100103
   Metz B, 2002, CLIM POLICY, V2, P211, DOI 10.1016/S1469-3062(02)00037-2
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Nicholson SE, 2001, CLIM RES, V17, P123, DOI 10.3354/cr017123
   O'Connor TG, 2004, CLIMATIC CHANGE, V66, P49, DOI 10.1023/B:CLIM.0000043192.19088.9d
   Olson J.M., 2004, RES FRAMEWORK IDENTI
   Philip LJ, 1998, ENVIRON PLANN A, V30, P261, DOI 10.1068/a300261
   Reason CJC, 2001, GEOPHYS RES LETT, V28, P2225, DOI 10.1029/2000GL012735
   Robledo C, 2004, MT RES DEV, V24, P14, DOI 10.1659/0276-4741(2004)024[0014:ITROHC]2.0.CO;2
   Rocheleau D., 2013, Feminist political ecology: Global issues and local experience
   Roncoli C, 2001, CLIM RES, V19, P119, DOI 10.3354/cr019119
   Salinger MJ, 2005, CLIMATIC CHANGE, V70, P341, DOI 10.1007/s10584-005-5954-8
   SMIT B, 2001, IPCC CLIMATE CHANGE, P879
   Sokona Y, 2001, CLIM POLICY, V1, P117, DOI 10.3763/cpol.2001.0110
   Stirling A, 2003, NEGOTIATING ENVIRONMENTAL CHANGE, P33
   Tennant WJ, 2002, INT J CLIMATOL, V22, P1033, DOI 10.1002/joc.778
   THOMAS PK, 1995, AGR ECOSYST ENVIRON, V54, P151
   Todd M, 1998, S AFR J SCI, V94, P64
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   Turner BL, 2002, ANN ASSOC AM GEOGR, V92, P52, DOI 10.1111/1467-8306.00279
   Tyson PD, 2002, CLIMATIC CHANGE, V52, P129, DOI 10.1023/A:1013099104598
   Usman MT, 2004, CLIM RES, V26, P199, DOI 10.3354/cr026199
   Valsiner J, 2000, SOC SCI INFORM, V39, P99, DOI 10.1177/053901800039001006
   Vogel C, 2005, IDS BULL-I DEV STUD, V36, P30, DOI 10.1111/j.1759-5436.2005.tb00192.x
   Vogel C., 2000, South African Geographical Journal, V82, P107, DOI [DOI 10.1080/03736245.2000.9713700, 10.1080/03736245.2000.9713700]
   Walker PA, 2005, PROG HUM GEOG, V29, P73, DOI 10.1191/0309132505ph530pr
   Washington R, 1999, INT J CLIMATOL, V19, P1601, DOI 10.1002/(SICI)1097-0088(19991130)19:14<1601::AID-JOC407>3.0.CO;2-0
   WASHINGTON R, 2005, T232 UEA TYND CTR
   World Bank, 2000, Can Africa Claim the 21st Century?
   Ziervogel G, 2004, CLIMATIC CHANGE, V65, P73, DOI 10.1023/B:CLIM.0000037492.18679.9e
   ZIMMERER KS, 1994, ANN ASSOC AM GEOGR, V84, P108, DOI 10.1111/j.1467-8306.1994.tb01731.x
NR 58
TC 8
Z9 10
U1 0
U2 16
PU SPRINGER
PI DORDRECHT
PA PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
SN 1574-0919
BN 978-90-481-3841-8
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2011
VL 43
BP 155
EP 178
DI 10.1007/978-90-481-3842-5_7
D2 10.1007/978-90-481-3842-5
PG 24
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences; Social Sciences, Interdisciplinary
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences;
   Social Sciences - Other Topics
GA BTW02
UT WOS:000288226900007
DA 2025-01-10
ER

PT J
AU Trinh, LT
   Duong, CC
   Van der Steen, P
   Lens, PNL
AF Long Thi Trinh
   Chinh Cong Duong
   Van der Steen, Peter
   Lens, Piet N. L.
TI Exploring the potential for wastewater reuse in agriculture as a climate
   change adaptation measure for Can Tho City, Vietnam
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Irrigation; Mekong Delta; Water quantity; Water quality; Wastewater
   treatment; Rice crop
ID RISKS; PRODUCTIVITY; MANAGEMENT; BENEFITS; CHINA; NEED
AB Climate change is impacting water resources in the Mekong Delta of Vietnam. Drought is becoming more severe and water scarcer. Thus, action on adaptation to climate impacts is urgently needed. We assess the potential for wastewater reuse as an adaptation measure to cope with water scarcity in Can Tho City, within the heart of the Mekong Delta. We show that wastewater effluent can be used to irrigate at least to 22,719 ha of paddy rice (16% of the rice-cultivated area in the city) at 3 crops per year. The fertilizing properties of the water would eliminate part of the demand for synthetic fertilizers, providing a maximum of 22% of the nitrogen (N) and 14% of the phosphorus (P) requirement for the winter-spring crop. On a yearly basis, recovery of wastewater could reduce the discharge of N by 15-27% and the discharge of P by 8-17%. Such a program would contribute to a decrease in the level of pollution in the local rivers and canal systems, while also reducing the need for expensive tertiary treatment (C) 2013 Elsevier B.V. All rights reserved.
C1 [Long Thi Trinh; Van der Steen, Peter; Lens, Piet N. L.] UNESCO IHE Inst Water Educ, Core Grp Pollut Prevent & Control, Environm Resources Dept, NL-2601 DA Delft, Netherlands.
   [Long Thi Trinh; Chinh Cong Duong] Southern Inst Water Resources Res, Ho Chi Minh City, Vietnam.
C3 IHE Delft Institute for Water Education
RP Trinh, LT (corresponding author), 658 Vo Van Kiet St,Dist 5, Ho Chi Minh City, Vietnam.
EM ttlongvn@gmail.com
RI Dương, Chính/AAD-8415-2020; Lens, Piet Nicolaas Luc/B-7245-2018
OI van der Steen, Peter/0000-0003-1825-8184; Lens, Piet Nicolaas
   Luc/0000-0002-5825-878X
FU Netherlands Ministry of Development Cooperation (DGIS) through the
   UNESCO-IHE Partnership Research Fund
FX This work was undertaken as part of the research programme "PRoACC -
   Post-doctoral Research Programme on Climate Change Adaptation in the
   Mekong River Basin". The project was funded by the Netherlands Ministry
   of Development Cooperation (DGIS) through the UNESCO-IHE Partnership
   Research Fund. This Partnership is a joint initiative of UNESCO-IHE
   Institute for Water Education and many institutions in the Lower Mekong
   countries and China.
CR Angelakis AN, 1999, WATER RES, V33, P2201, DOI 10.1016/S0043-1354(98)00465-5
   [Anonymous], GUID SAF US WAST EXC
   [Anonymous], WASTEWATER IRRIGATIO
   [Anonymous], P WORKSH HELD HAN VI
   [Anonymous], 2002, 37 IWMI
   [Anonymous], UNFCCC WORKSH AD PLA
   [Anonymous], HDB FEAS STUD WAT RE
   [Anonymous], WATER SCARCITY COULD
   [Anonymous], 14 TECHN COMM GLOB W
   [Anonymous], TECHNICAL REPORT
   [Anonymous], 30 IWMI
   [Anonymous], 2006, SALINITY INTRUSION M
   [Anonymous], WAT QUAL GUID IND RE
   [Anonymous], 2021, THESIS CAN THO U CAN
   [Anonymous], 1981, RICE CROP SCI
   [Anonymous], P INT S TRANS AGR EN
   [Anonymous], WAT WAST MAN LARG ME
   [Anonymous], BASIN LEVEL USE PROD
   [Anonymous], 30 IWMI
   [Anonymous], THESIS CAN THO U VIE
   [Anonymous], 2006, IWMI (International Water Management Institute) research report 102
   [Anonymous], 2008, HUMAN DEV REPORT 200
   [Anonymous], 37 IWMI
   [Anonymous], AGR IRRIGATION MEKON
   [Anonymous], NEWSL TECHN PUBL INT
   [Anonymous], 645R04108 SUEPA
   [Anonymous], UNDP HUMAN DEV REPOR
   [Anonymous], 30 IWMI
   [Anonymous], WAT RES MAJ CHALL
   [Anonymous], DEV PLAN PROD CONS C
   [Anonymous], 2 INT WAT C AR COUNT
   [Anonymous], STAT ENV POL PERSP 1
   [Anonymous], 2002, Urban Agric Mag
   [Anonymous], STUD CATF WAST TREAT
   [Anonymous], AS PAC NETW GLOB CHA
   [Anonymous], 2001, 26 IWMI
   [Anonymous], J CROP PRODUCTION
   [Anonymous], 26 IWMI
   [Anonymous], 082008BTNMT QCVN MIN
   [Anonymous], 2007, CHALLENGES SUSTAINAB
   [Anonymous], SPEC AL 308 MILL PEO
   [Anonymous], REP SAL INTR BEG MON
   [Anonymous], WASTEWATER USE CROP
   [Anonymous], RICE PLANT CAN THO C
   [Anonymous], WORKSH 4 IMPR WAT US
   [Anonymous], REP DEV ENV QUAL CAN
   [Anonymous], 2006, IRRIGATED URBAN VEGE
   [Anonymous], 242009BTNMT QCVN MIN
   [Anonymous], 142009BTNMT QQCVN MI
   [Anonymous], 2005, Water and wastewater reuse-An Environmentally Sound Approach for Sustainable Urban Water Management
   [Anonymous], 2007, 4136 WORLD BANK
   [Anonymous], P WORKSH HELD HAN VI
   [Anonymous], TECHNICAL B TROPICAL
   Asano Takashi., 2007, Water Reuse: Issues, Technology, and Applications
   AWWA WEF, 1998, STANDARD METHODS EXA
   Bixio D, 2006, DESALINATION, V187, P89, DOI 10.1016/j.desal.2005.04.070
   Bouman BAM, 2001, AGR WATER MANAGE, V49, P11, DOI 10.1016/S0378-3774(00)00128-1
   Chew MYC, 2011, TECHNOL SOC, V33, P200, DOI 10.1016/j.techsoc.2011.06.001
   Chu JY, 2004, WATER RES, V38, P2746, DOI 10.1016/j.watres.2004.04.002
   Danso G., 2002, Urban Agric. Mag, P5
   DE DATTA S.K., 1981, PRINCIPLES PRACTICES
   Dong B., 2001, Water-saving irrigation for rice: Proceedings of an International Workshop held in Wuhan, China, 23-25 March 2001, P97
   Drechsel P, 2011, WATER INT, V36, P535, DOI 10.1080/02508060.2011.594549
   Heinz I, 2011, WATER INT, V36, P455, DOI 10.1080/02508060.2011.594984
   Irvine KN, 2011, INT J RIVER BASIN MA, V9, P151, DOI 10.1080/15715124.2011.621430
   Jimenez B., 2010, Wastewater Irrigation and Health: Assessing and Mitigating Risk in Low-Income Countries, P3
   Jiménez B, 2008, SCI TECH REP SER, P3
   Khai NM, 2007, AGR ECOSYST ENVIRON, V122, P192, DOI 10.1016/j.agee.2007.01.003
   Lazarova V., 2005, Water Reuse for Irrigation: agriculture, landscapes, and turf grass
   Mainuddin M, 2009, AGR WATER MANAGE, V96, P1567, DOI 10.1016/j.agwat.2009.06.013
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Miller GW, 2006, DESALINATION, V187, P65, DOI 10.1016/j.desal.2005.04.068
   Ministry of Natural Resources and Environment (MONRE), 2009, CLIM CHANG SEA LEV R
   Murray A, 2011, WATER INT, V36, P491, DOI 10.1080/02508060.2011.594868
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   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]
   Qadir M, 2010, AGR WATER MANAGE, V97, P561, DOI 10.1016/j.agwat.2008.11.004
   Scheierling SM, 2011, WATER INT, V36, P420, DOI 10.1080/02508060.2011.594527
   STANDER GJ, 1969, J WATER POLLUT CON F, V41, P355
   Tuong TP, 2005, PLANT PROD SCI, V8, P231, DOI 10.1626/pps.8.231
   Weldesilassie AB, 2011, WATER INT, V36, P441, DOI 10.1080/02508060.2011.595056
   Weldesilassie AB, 2009, J AGR RESOUR ECON, V34, P428
   Wichelns D, 2011, WATER INT, V36, P467, DOI 10.1080/02508060.2011.594250
NR 83
TC 47
Z9 52
U1 0
U2 117
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD OCT
PY 2013
VL 128
BP 43
EP 54
DI 10.1016/j.agwat.2013.06.003
PG 12
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA 217KD
UT WOS:000324357500005
DA 2025-01-10
ER

PT J
AU Sillanpää, M
   Eichhorn, J
   Juhola, S
AF Sillanpaa, Minja
   Eichhorn, Julia
   Juhola, Sirkku
TI Decreasing psychological distance to climate adaptation through serious
   gaming: Minions of Disruptions
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change adaptation; Serious games; Gamification; Construal level
   theory; Distancing
ID CONSTRUAL-LEVEL THEORY; CHANGE COMMUNICATION; CHANGE GAMES; ENGAGEMENT;
   UNCERTAINTIES; GAMIFICATION; MITIGATION; MOTIVATION; SCIENCE; PEOPLE
AB A gap between knowledge and adaptive action remains and psychological distancing has been proposed to explain peoples' inaction. This presents a challenge to climate change communication and particularly to the conventional ways of providing scientific information. Serious games have proliferated in the last ten years with a focus on improving the way in which climate change is communicated with different types of audiences. However, empirical evidence for whether serious games focusing on the local understanding of barriers to action offers an opportunity to reduce the psychological distancing from climate change is lacking. This paper presents a case study of Minions of Disruptions, a collaborative board game developed by the Dutch NGO Day of Adaptation, which gamifies climate action by letting the players choose their own adaptation strategy and co-create their organizational story that is based on their local knowledge. The results of this paper show that the game experience succeeds in reducing psychological distance and cultivates agency. This finding provides a pathway toward communication strategies that provide a safe and fun environment in which participants interact to identify organizational and community-based issue areas where more resilience can be built.
C1 [Sillanpaa, Minja; Eichhorn, Julia] Day Adaptat, Gortestr 14, Haarlem, Netherlands.
   [Juhola, Sirkku] Univ Helsinki, Fac Biol & Environm Sci, Helsinki, Finland.
C3 University of Helsinki
RP Juhola, S (corresponding author), Univ Helsinki, Fac Biol & Environm Sci, Helsinki, Finland.
EM sirkku.juhola@helsinki.fi
RI Juhola, Sirkku/IXW-8093-2023
OI Juhola, Sirkku/0000-0003-0095-2282
CR Anderson A, 2021, NAT ASTRON, V5, P861, DOI 10.1038/s41550-021-01481-2
   Asplund T, 2019, OPEN AGRIC, V4, P107, DOI 10.1515/opag-2019-0010
   Bakhanova E, 2020, ENVIRON MODELL SOFTW, V134, DOI 10.1016/j.envsoft.2020.104846
   Ballantyne AG, 2016, WIRES CLIM CHANGE, V7, P329, DOI 10.1002/wcc.392
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Berzonsky CL, 2017, ANTHROPOCENE, V20, P15, DOI 10.1016/j.ancene.2017.11.002
   Bontchev B, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14010007
   Boykoff M.T., 2011, Who speaks for the climate?: Making sense of media reporting on climate change, DOI [10.1017/CBO9780511978586, DOI 10.1017/CBO9780511978586]
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brinkmann S., 2014, The Oxford handbook of qualitative research, VVolume 2, P277, DOI DOI 10.1093/OXFORDHB/9780199811755.013.030
   Brügger A, 2015, NAT CLIM CHANGE, V5, P1031, DOI 10.1038/NCLIMATE2760
   Brügger A, 2016, J ENVIRON PSYCHOL, V46, P125, DOI 10.1016/j.jenvp.2016.04.004
   Christel I, 2018, CLIM SERV, V9, P111, DOI 10.1016/j.cliser.2017.06.002
   Clayton S, 2015, NAT CLIM CHANGE, V5, P640, DOI [10.1038/nclimate2622, 10.1038/NCLIMATE2622]
   Conway S, 2014, J GAMING VIRTUAL WOR, V6, P129, DOI 10.1386/jgvw.6.2.129_1
   Creutzig F, 2020, ENERGY RES SOC SCI, V70, DOI 10.1016/j.erss.2020.101779
   Davies AR, 2021, POLITICS GOV, V9, P100, DOI 10.17645/pag.v9i2.3892
   den Haan RJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124529
   Douglas BD, 2021, CURR OPIN PSYCHOL, V42, P89, DOI 10.1016/j.copsyc.2021.04.008
   Druen PB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169438
   Dryzek J.S., 2011, OXFORD HDB CLIMATE C, P3
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ereaut G., 2007, Warm Words II: How the climate story is evolving and the lessons we can learn for encouraging public action, VII
   Galeote DF, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abec05
   Flood S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac1c6
   Fox J, 2020, TELEMAT INFORM, V46, DOI 10.1016/j.tele.2019.101320
   Frias-Jamilena DM, 2022, TOURISM MANAGE, V91, DOI 10.1016/j.tourman.2022.104519
   Gerber A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041997
   Hauge Ashild Lappegard, 2017, Climate Services, V6, P23, DOI 10.1016/j.cliser.2017.06.009
   Heitz C, 2009, LAND USE POLICY, V26, P443, DOI 10.1016/j.landusepol.2008.05.008
   Howarth C, 2020, ONE EARTH, V2, P320, DOI 10.1016/j.oneear.2020.04.001
   Hügel S, 2022, URBAN PLAN, V7, P306, DOI 10.17645/up.v7i2.5113
   Johnson D, 2009, CURR SCI INDIA, V97, P1593
   Joslyn SL, 2016, TOP COGN SCI, V8, P222, DOI 10.1111/tops.12177
   Juhola S, 2013, URBAN CLIM, V4, P102, DOI 10.1016/j.uclim.2013.04.003
   Keller E, 2022, J ENVIRON PSYCHOL, V81, DOI 10.1016/j.jenvp.2022.101822
   Koens K, 2022, J SUSTAIN TOUR, V30, P2167, DOI 10.1080/09669582.2020.1819301
   Krath J, 2021, COMPUT HUM BEHAV, V125, DOI 10.1016/j.chb.2021.106963
   Krauss W, 2012, NAT CULT, V7, P213, DOI 10.3167/nc.2012.070206
   Kumpu V, 2022, ENVIRON COMMUN, V16, P304, DOI 10.1080/17524032.2022.2055601
   Leiserowitz A., 2017, Oxford Research Encyclopedia of Climate Science, DOI 10.1093/acrefore/9780190228620.013.307
   Lesnikowski AC, 2015, MITIG ADAPT STRAT GL, V20, P277, DOI 10.1007/s11027-013-9491-x
   Marome W, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084420
   McDonald RI, 2015, J ENVIRON PSYCHOL, V44, P109, DOI 10.1016/j.jenvp.2015.10.003
   McMahon R, 2015, CLIMATIC CHANGE, V133, P141, DOI 10.1007/s10584-015-1473-4
   Meyer RJ, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P153
   Moser S., 2011, OXFORD HDB CLIMATE C, P161, DOI DOI 10.1093/OXFORDHB/9780199566600.003.0011
   Moser SC, 2016, WIRES CLIM CHANGE, V7, P345, DOI 10.1002/wcc.403
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Neset TS, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100273
   Neset TS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051789
   Neset TS, 2020, SIMULAT GAMING, V51, P378, DOI 10.1177/1046878120904393
   Ockwell D, 2009, SCI COMMUN, V30, P305, DOI 10.1177/1075547008328969
   Onencan A, 2016, PROCEDIA ENGINEER, V159, P307, DOI 10.1016/j.proeng.2016.08.185
   Ouariachi T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114565
   Ouariachi T, 2019, ENVIRON EDUC RES, V25, P701, DOI 10.1080/13504622.2018.1545156
   Ouariachi T, 2017, PROCD SOC BEHV, V237, P1053, DOI 10.1016/j.sbspro.2017.02.154
   Panenko A, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100265
   Rayner T., 2015, Working Paper
   Reckien D, 2013, SIMULAT GAMING, V44, P253, DOI 10.1177/1046878113480867
   Rodela R, 2019, WATER-SUI, V11, DOI 10.3390/w11020245
   Rodríguez-Cruz LA, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244512
   Ruiter RAC, 2014, INT J PSYCHOL, V49, P63, DOI 10.1002/ijop.12042
   Sagristano MD, 2002, J EXP PSYCHOL GEN, V131, P364, DOI 10.1037//0096-3445.131.3.364
   Schuldt JP, 2018, J ENVIRON PSYCHOL, V55, P147, DOI 10.1016/j.jenvp.2018.02.001
   Staats HJ, 1996, J ENVIRON MANAGE, V46, P189, DOI 10.1006/jema.1996.0015
   Steynor A, 2019, CLIM SERV, V15, DOI 10.1016/j.cliser.2019.100112
   Suri H, 2011, QUAL RES J, V11, P63, DOI 10.3316/QRJ1102063
   Tall A, 2018, CLIM SERV, V11, P1, DOI 10.1016/j.cliser.2018.06.001
   Trautmann ST, 2012, ACTA PSYCHOL, V139, P254, DOI 10.1016/j.actpsy.2011.08.006
   Trope Y, 2007, J CONSUM PSYCHOL, V17, P83, DOI 10.1016/S1057-7408(07)70013-X
   Trope Y, 2010, PSYCHOL REV, V117, P440, DOI 10.1037/a0018963
   van Beek L, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-022-03318-x
   van Pelt SC, 2015, ENVIRON SCI POLICY, V45, P41, DOI 10.1016/j.envsci.2014.09.004
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Wolf T, 2020, GAMIFIN C 2020 LEV F
   Wu JS, 2015, NAT CLIM CHANGE, V5, P413, DOI 10.1038/NCLIMATE2566
NR 79
TC 2
Z9 2
U1 3
U2 8
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 100429
DI 10.1016/j.cliser.2023.100429
EA DEC 2023
PG 11
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA IF0D5
UT WOS:001164785900001
OA gold
DA 2025-01-10
ER

PT J
AU Rayner, S
AF Rayner, Steve
TI How to eat an elephant: a bottom-up approach to climate policy
SO CLIMATE POLICY
LA English
DT Article
DE bottom-up strategy; climate negotiations; climate policy; climate
   regimes; climate targets; COP-16; local strategy; post-Copenhagen
ID ENERGY
AB A longstanding, alternative approach is offered to the existing UNFCCC international policy regime as a viable policy option. This 'bottom-up' approach has been neglected in policy discourse until now. The alternative approach is a 'clumsy' proposal, which emphasizes the 'direction of travel' over targets and timetables. It places an immediate emphasis on adaptation and the development of effective measures to minimize global warming through a diverse range of policy actions, originating from the 'bottom up' within nations, based on their own institutional, technological, economic and political capacities. Cumulatively, this would lead to a fundamental technological shift in global patterns of energy and land use. It would also encourage practical cooperation among the large emitters to control greenhouse gases and support the formation of regional collaborations on adaptation. Climate change is framed as a strategic challenge rather than an optimizing problem for analysts and policy-makers. Hence, policy is no longer obsessed with issues of leakage and concerns about free-riders, but greater explicit recognition is given to the fact that development is inevitably uneven and that different actors have very different motivations for action and capabilities to contribute to the climate change challenge.
C1 Univ Oxford, Inst Sci Innovat & Soc, Said Business Sch, Oxford OX1 1HP, England.
C3 University of Oxford
RP Rayner, S (corresponding author), Univ Oxford, Inst Sci Innovat & Soc, Said Business Sch, Pk End St, Oxford OX1 1HP, England.
EM steve.rayner@sbs.ox.ac.uk
OI rayner, steve/0000-0001-6779-9345
CR [Anonymous], 2006, EC CLIMATE CHANGE ST, DOI DOI 10.1378/CHEST.128.5
   Benedick RE, 2001, ISSUES SCI TECHNOL, V18, P71
   Bulkeley H., 2005, Cities and climate change
   Burtraw Dallas., 2003, PAPARAZZI TAKE LOOK
   Cantor Robin., 1992, MAKING MARKETS INTER
   CORFEEMORLOT J, 2009, 14 OECD ENV WKP 2009
   Galiana I., 2009, ANAL TECHNOLOGY LED
   GERLACH L, 1988, ORNL6390
   Hoffert MI, 2002, SCIENCE, V298, P981, DOI 10.1126/science.1072357
   Hoffert MI, 1998, NATURE, V395, P881, DOI 10.1038/27638
   Laird FN, 2000, ISSUES SCI TECHNOL, V17, P45
   PARSON T, 2003, PROTECTING OZONE LAY
   Prins G., 2010, HARTWELL PAPER NEW D
   Prins G., 2007, The Wrong Trousers: radically rethinking climate policy
   Rabe B.G., 2004, Statehouse and Greenhouse: The Emerging Politics of American Climate Change Policy
   Ramanathan V, 2008, NAT GEOSCI, V1, P221, DOI 10.1038/ngeo156
   Sarewitz D., 2000, The Atlantic Monthly, P54
   SHEPHERD J, 2009, GEOENSINEERING CLIMA
   Thompson M., 1998, Human Choice and Climate Change, V1
   *UN AEGC, 2010, EN SUST FUT REP SECR
   Velders GJM, 2007, P NATL ACAD SCI USA, V104, P4814, DOI 10.1073/pnas.0610328104
   Verweij M, 2006, PUBLIC ADMIN, V84, P817, DOI 10.1111/j.1540-8159.2005.09566.x-i1
   Victor D.G., 2001, The collapse of the Kyoto Protocol and the struggle to slow global warming
   Wara M, 2007, NATURE, V445, P595, DOI 10.1038/445595a
NR 24
TC 136
Z9 148
U1 0
U2 57
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PY 2010
VL 10
IS 6
BP 615
EP 621
DI 10.3763/cpol.2010.0138
PG 7
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA 704CB
UT WOS:000286027600003
DA 2025-01-10
ER

PT B
AU Mili, B
   Barua, A
   Katyaini, S
AF Mili, Bhupen
   Barua, Anamika
   Katyaini, Suparana
GP Informat Resources Management Assoc
TI Climate Change and Adaptation through the Lens of Capability Approach: A
   Case Study from Darjeeling, Eastern Himalaya
SO NATURAL RESOURCES MANAGEMENT: CONCEPTS, METHODOLOGIES, TOOLS, AND
   APPLICATIONS
LA English
DT Article; Book Chapter
ID VULNERABILITY
AB Climate Change impacts would disproportionately have larger impacts on the developing countries. Both government and development agencies have initiated various adaptation strategies in the developing countries to enhance the adaptation of the local communities. Various policies and programmes have been designed keeping in mind the impact of climate change. This study was conducted in Darjeeling district of West Bengal, India, to see the benefits of such policies and programmes. Focus group discussion with community members were held in the study area. Based on the fieldwork it was seen that most of the intervention made in the study area focused on income, resources, and assets. It has failed to benefits the people due to variation in the capability among various section of the society. Various projects related to health, education, housing, and livelihood, have been implemented in the study region. However, due to lack of conversion factors in the form of gender inequality, discriminatory practices, transparency among others have come as a hindrance in the successful implementation of the projects. Hence, such project-based approach to enhance community's adaptation to climate risk, in the end fails to show benefits as it fails to expand community's capabilities and real freedom, due to the project's pre-defined aims. It is important to understand community's as agent of change rather than merely beneficiaries of adaptation projects. This study therefore recommends that to enhance community's adaptation to climate change, the interventions should be such that it enlarges the range of people's choices so that when climate disaster strikes them they will have a set of opportunities.
C1 [Mili, Bhupen; Barua, Anamika; Katyaini, Suparana] Indian Inst Technol Guwahati, Gauhati, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Guwahati
RP Mili, B (corresponding author), Indian Inst Technol Guwahati, Gauhati, India.
CR Adger W. N., 1999, MITIG ADAPT STRAT GL, V4, P253
   Alló M, 2014, ENERG POLICY, V73, P563, DOI 10.1016/j.enpol.2014.04.042
   Amartya Sen., 1999, DEV FREEDOM
   [Anonymous], 2004, TYNDALL CTR CLIMATE
   [Anonymous], 2011, Climate Change, Rural Livelihoods and Agriculture (Focus on Food Security) in Asia-Pacific Region
   [Anonymous], CLIM CHANG ED SUST D
   [Anonymous], 2009, CLIMATE AGR FOOD SEC
   [Anonymous], 2013, Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience
   [Anonymous], 2008, NAT ACT PLAN CLIM CH
   [Anonymous], 2003, TRAIN COURS P 3 INT
   Ariana P., 2009, INTRO HUMAN DEV CAPA, P228
   Basu K, 2013, J HUM DEV CAPABIL, V14, P323, DOI 10.1080/19452829.2013.764854
   Berman R., 2011, ENV DEV, P86
   Bouma D. J., 2009, I CAPACITY MARKET AC
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bwalya S.M., 2010, Climate Change in Zambia: Opportunities for Adaptation and Mitigation through Africa Bio-Carbon Initiative
   Byravan S., 2012, An evaluation of India's National Action Plan on Climate Change Report
   Care International, 2014, CLIMATE CHANGE VULNE
   Chaudhary P, 2011, CURR SCI INDIA, V101, P504
   Dreze J., 2002, DEV PARTICIPATION, DOI [10.1093/acprof:oso/9780199257492.001.0001, DOI 10.1093/ACPR0F:0S0/9780199257492.001.0001]
   EPA, 2011, CLIM IMP HUM HLTH
   EU, 2006, HELP DEV COUNTR COP
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Ganguly K., 2010, ADAPTATION CLIMATE C
   GAWU, 2012, CLIM CHANG ITS IMP L
   Government of India, 2010, W BENG DEV REP
   Government of India, 2011, CENS IND 2011
   Government of West Bengal, 2014, DISTR PROF
   Government of West Bengal, 2012, W BENG STAT ACT PLAN
   Habtezion S, 2011, OVERVIEW LINKAGES GE
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Castillo MRM, 2014, J HUM DEV CAPABIL, V15, P79, DOI 10.1080/19452829.2013.837034
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   OECD, 2007, CLIM CHANG POL
   Saha S, 2013, BMC MED INFORM DECIS, V13, DOI 10.1186/1472-6947-13-41
   SHARMA V, 2014, TRENDS LIFE SCI, V3, P5
   *UN REP TANZ, 2012, NAT CLIM CHANG STRAT
   UNDP India, 2011, CLIM CHANG AD
NR 39
TC 2
Z9 2
U1 0
U2 2
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
BN 978-1-5225-0804-5; 978-1-5225-0803-8
PY 2017
BP 1351
EP 1365
DI 10.4018/978-1-5225-0803-8.ch064
D2 10.4018/978-1-5225-0803-8
PG 15
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA BN2WQ
UT WOS:000477803700065
DA 2025-01-10
ER

PT J
AU Nkiaka, E
   Lovett, JC
AF Nkiaka, Elias
   Lovett, Jon C.
TI Strengthening the science-policy interface for climate adaptation:
   stakeholder perceptions in Cameroon
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Science-policy interface; Q methodology; Climate change adaptation;
   Stakeholders; Cameroon
ID LOGONE CATCHMENT; Q METHODOLOGY; COMMUNITIES; DISCOURSES; BASIN;
   VULNERABILITY; VARIABILITY; FORESTS
AB Even when they are societally relevant, scientific research results do not always contribute to policy development for solving societal problems, with science and policy often on parallel lines failing to intersect. For scientific research to be useful for decision making, it must answer questions relevant for bridging the gap to policy, and so enhance the science-policy interface (SPI). In this study, Q methodology was used to capture perspectives from multi-level stakeholders holding different viewpoints about climate change in order to strengthen the SPI for climate adaptation in Cameroon. The views expressed by stakeholders resolved into three discourses which together explained 59% of the Q-analysis variance. The first discourse explained 21% of the variance and focused on vulnerability and impacts of climate change. Under this discourse, stakeholders recognized the Sudano-Sahel and coastal zones as areas most vulnerable to climate change in Cameroon, with water resources and agriculture as the most vulnerable sectors. The second discourse explained 20% of the study variance and focused on adaptation planning. Political leadership was identified as crucially important for driving adaptation. The third discourse explained 18% of the study variance and centered on policy incentives. Key policy areas that can be put in place to raise the adaptive capacity of the population were identified. Proposed policies included integrated water resources management (IWRM) and the distribution of farm inputs to farmers to boost agricultural production. Under each discourse, stakeholders proposed a series of research areas that could be used as a starting point to strengthen the SPI initiative in Cameroon.
C1 [Nkiaka, Elias; Lovett, Jon C.] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.
C3 University of Leeds
RP Nkiaka, E (corresponding author), Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.
EM E.Nkiaka@leeds.ac.uk; J.Lovett@leeds.ac.uk
RI Nkiaka, Elias/Q-9494-2019
FU Commonwealth Scholarship Commission; GEF [GEF-5810]
FX The authors are indebted to the Commonwealth Scholarship Commission for
   a scholarship award to the first author and for funding the fieldwork.
   Writing of this paper was supported in part by GEF grant number GEF-5810
   Spatial Planning for Protected Areas under Climate Change (SPARC).
CR Abdi H., 2003, Factor Rotations in Factor Analyses, Encyclopedia for Research Methods for the Social Sciences, P792
   Albizua A, 2014, ENVIRON POLICY GOV, V24, P405, DOI 10.1002/eet.1658
   Alemagi D., 2011, African Journal of Environmental Science and Technology, V5, P65
   André K, 2012, J ENVIRON POL PLAN, V14, P243, DOI 10.1080/1523908X.2012.702562
   [Anonymous], 1980, POLITICAL SUBJECTIVITY: APPLICATIONS OF Q METHODOLOGY IN POLITICAL SCIENCE
   [Anonymous], READING IN GEOGRAPHY
   [Anonymous], 2014, EASY GUIDE FACTOR AN, DOI DOI 10.4324/9781315788135
   [Anonymous], Q METHODOLOGY SNEAK
   Atyi RE, 2013, FOREST POLICY ECON, V32, P40, DOI 10.1016/j.forpol.2012.12.006
   Awung N. S., 2016, Nature & Faune, V30, P32
   Ballejos LC, 2008, REQUIR ENG, V13, P281, DOI 10.1007/s00766-008-0069-1
   Barry J, 1999, ECOL ECON, V28, P337, DOI 10.1016/S0921-8009(98)00053-6
   Bele MY, 2011, MITIG ADAPT STRAT GL, V16, P369, DOI 10.1007/s11027-010-9264-8
   Brown HCP, 2011, INT FOREST REV, V13, P163, DOI 10.1505/146554811797406651
   Brown HCP, 2014, AMBIO, V43, P759, DOI 10.1007/s13280-014-0493-z
   Byamukama B., 2011, National Strategy on Climate Change and Low Carbon Development for Rwanda: Baseline Report
   Conway D, 2014, NAT CLIM CHANGE, V4, P339, DOI 10.1038/NCLIMATE2199
   Conway D, 2011, WIRES CLIM CHANGE, V2, P428, DOI 10.1002/wcc.115
   Crawford A., 2011, REV CURRENT PLANNED
   Cuppen E, 2010, ECOL ECON, V69, P579, DOI 10.1016/j.ecolecon.2009.09.005
   Davies W, 2016, ENVIRON POLICY GOV, V26, P482, DOI 10.1002/eet.1729
   Diboma BS, 2013, ENERG POLICY, V62, P582, DOI 10.1016/j.enpol.2013.07.014
   Dujardin S, 2017, CLIM DEV, V10, P1
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Frantzi S, 2009, J ENVIRON MANAGE, V90, P177, DOI 10.1016/j.jenvman.2007.08.013
   Gaston BW, 2012, JAMBA-J DISASTER RIS, V4, DOI 10.4102/jamba.v4i1.56
   Hendrix CS, 2017, GLOBAL ENVIRON CHANG, V43, P137, DOI 10.1016/j.gloenvcha.2017.01.009
   Howard RJ, 2016, ENVIRON SCI POLICY, V56, P100, DOI 10.1016/j.envsci.2015.11.009
   Iyalomhe F, 2013, ENVIRON POLICY GOV, V23, P368, DOI 10.1002/eet.1619
   Jones L, 2015, NAT CLIM CHANGE, V5, P812, DOI 10.1038/nclimate2701
   Koetz T, 2012, INT ENVIRON AGREEM-P, V12, P1, DOI 10.1007/s10784-011-9152-z
   Lovett JC, 2017, AFR J ECOL, V55, P257, DOI 10.1111/aje.12456
   Lovett JC, 2015, AFR J ECOL, V53, P1, DOI 10.1111/aje.12218
   Lynch AH, 2014, REG ENVIRON CHANGE, V14, P1601, DOI 10.1007/s10113-014-0602-3
   Molua E.L., 2007, 4364 WORLD BANK
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   Ndille R, 2014, INT J DISAST RISK SC, V5, P147, DOI 10.1007/s13753-014-0019-0
   Nkiaka E, 2017, INT J CLIMATOL, V37, P3553, DOI 10.1002/joc.4936
   Nkiaka E, 2018, INT J CLIMATOL, V38, P5136, DOI 10.1002/joc.5717
   Nkiaka E, 2018, ENVIRON SCI POLICY, V89, P49, DOI 10.1016/j.envsci.2018.07.012
   Nkiaka E, 2017, HYDROLOG SCI J, V62, P2720, DOI 10.1080/02626667.2017.1409427
   Pavageau C, 2018, CLIM DEV, V10, P49, DOI 10.1080/17565529.2016.1193460
   Piontek F, 2014, P NATL ACAD SCI USA, V111, P3233, DOI 10.1073/pnas.1222471110
   Sarkki S, 2014, SCI PUBL POLICY, V41, P194, DOI 10.1093/scipol/sct046
   Scoville-Simonds M., 2017, INT DEV POLICY REV I, V7, DOI [https://doi.org/10.4000/poldev.2243, DOI 10.4000/POLDEV.2243]
   Somorin OA, 2012, GLOBAL ENVIRON CHANG, V22, P288, DOI 10.1016/j.gloenvcha.2011.08.001
   Stephenson W., 1953, The study of behavior; Q-technique and its methodology
   Vincent K, 2018, CLIM RISK MANAG, V21, P26, DOI 10.1016/j.crm.2018.04.005
   Water U., 2009, 3 UNESCO WORLD WAT A
   Watson RT, 2005, PHILOS T R SOC B, V360, P471, DOI 10.1098/rstb.2004.1601
   Watts S., 2012, Doing Q methodological research
   Weaver CP, 2014, NAT CLIM CHANGE, V4, P656, DOI 10.1038/nclimate2319
   Wilsdon J., 2004, See-Through Science: Why Public Engagement Needs to Move Upstream
   World Resources Institute (WM), 2007, EARTHTRENDS ENV INF
   Yengoh GT, 2013, SUSTAINABILITY-BASEL, V5, P52, DOI 10.3390/su5010052
   Yengoh GT, 2011, GEOCARTO INT, V26, P251, DOI 10.1080/10106049.2011.556756
   Young JC, 2013, BIOL CONSERV, V158, P359, DOI 10.1016/j.biocon.2012.08.018
NR 57
TC 7
Z9 7
U1 0
U2 8
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD APR
PY 2019
VL 19
IS 4
SI SI
BP 1047
EP 1057
DI 10.1007/s10113-018-1441-4
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HZ0PT
UT WOS:000468544400013
OA hybrid, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Sell, M
   Rohula-Okunev, G
   Kupper, P
   Ostonen, I
AF Sell, Marili
   Rohula-Okunev, Gristin
   Kupper, Priit
   Ostonen, Ivika
TI Adapting to climate change: responses of fine root traits and C
   exudation in five tree species with different light-use strategy
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE growth strategy; belowground; exudation; respiration; pioneer root;
   climate change
ID POTENTIAL GROWTH-RATE; SPRUCE PICEA-ABIES; YOUNG SILVER BIRCH; FORAGING
   STRATEGIES; SUCCESSIONAL TREES; SOIL RESPIRATION; TEMPERATE FOREST;
   PLANT; PHOTOSYNTHESIS; ALLOCATION
AB Trees that are categorised by their light requirements have similarities in their growth strategies and adaptation mechanisms. We aimed to understand the complex responses of elevated air humidity on whole tree fine root carbon (C) exudation (Ex(C)) and respiration rate, morphology, and functional distribution in species with different light requirements. Three light-demanding (LD) species, Populus x wettsteinii, Betula pendula, and Pinus sylvestris, and two shade-tolerant species, Picea abies and Tilia cordata saplings were grown in growth chambers under moderate and elevated air relative humidity (eRH) at two different inorganic nitrogen sources with constant air temperature and light availability. The proportion of assimilated carbon released by Ex(C), and respiration decreased at eRH; up to about 3 and 27%, respectively. There was an indication of a trade-off between fine root released C and biomass allocation. The elevated air humidity changed the tree biomass allocation and fine root morphology, and the responses were species-specific. The specific fine root area and absorptive root proportion were positively related to canopy net photosynthesis and leaf nitrogen concentration across tree species. The variation in Ex(C) was explained by the trees' light-use strategy (p < 0.05), showing higher exudation rates in LD species. The LD species had a higher proportion of pioneer root tips, which related to the enhanced ExC. Our findings highlight the significant role of fine root functional distribution and morphological adaptation in determining rhizosphere C fluxes in changing environmental conditions such as the predicted increase of air humidity in higher latitudes.
C1 [Sell, Marili; Rohula-Okunev, Gristin; Kupper, Priit; Ostonen, Ivika] Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia.
C3 University of Tartu; Tartu University Institute of Ecology & Earth
   Sciences
RP Sell, M (corresponding author), Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia.
EM marili.sell@ut.ee
RI Ostonen, Ivika/ABB-2498-2021
OI Sell, Marili/0000-0002-3243-0107
FU Estonian Research Council [PUT1350, PRG916]; Center of Excellence of
   Sustainable Land Use -FutureScapes
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This study was funded by
   the Estonian Research Council grants (PUT1350; PRG916), and the Center
   of Excellence of Sustainable Land Use -FutureScapes.
CR Bagniewska-Zadworna A, 2012, AM J BOT, V99, P1417, DOI 10.3732/ajb.1100552
   BAZZAZ FA, 1979, ANNU REV ECOL SYST, V10, P351, DOI 10.1146/annurev.es.10.110179.002031
   Betts AK, 2014, J GEOPHYS RES-ATMOS, V119, P13305, DOI 10.1002/2014JD022511
   Bhatla S. C., 2018, Plant Physiology, Development and Metabolism, P969, DOI [10.1007/978-981-13-2023-1, DOI 10.1007/978-981-13-2023-1]
   Britto DT, 2013, ANN BOT-LONDON, V112, P957, DOI 10.1093/aob/mct157
   Brunn M, 2022, NEW PHYTOL, V235, P965, DOI 10.1111/nph.18157
   Comas LH, 2012, INT J PLANT SCI, V173, P584, DOI 10.1086/665823
   Comas LH, 2004, FUNCT ECOL, V18, P388, DOI 10.1111/j.0269-8463.2004.00835.x
   Comas LH, 2002, OECOLOGIA, V132, P34, DOI 10.1007/s00442-002-0922-8
   Cramer MD, 2009, OECOLOGIA, V161, P15, DOI 10.1007/s00442-009-1364-3
   Diffenbaugh NS, 2013, SCIENCE, V341, P486, DOI 10.1126/science.1237123
   dos Santos OD, 2019, ACTA PHYSIOL PLANT, V41, DOI 10.1007/s11738-019-2931-9
   Eaton E., 2016, European Atlas of Forest Tree Species, pe01c6df+, DOI DOI 10.2788/038466
   Ekblad A, 2001, OECOLOGIA, V127, P305, DOI 10.1007/s004420100667
   Estonian Environment Agency, 2022, Yearbook Forest 2020, V23827068, P23
   Franklin O, 2012, TREE PHYSIOL, V32, P648, DOI 10.1093/treephys/tpr138
   Freschet GT, 2021, NEW PHYTOL, V232, P973, DOI 10.1111/nph.17572
   Guo DL, 2008, NEW PHYTOL, V180, P673, DOI 10.1111/j.1469-8137.2008.02573.x
   Guyonnet JP, 2018, ECOL EVOL, V8, P8573, DOI 10.1002/ece3.4383
   Hagemeier M, 2019, FORESTS, V10, DOI 10.3390/f10100925
   Haichar FE, 2014, SOIL BIOL BIOCHEM, V77, P69, DOI 10.1016/j.soilbio.2014.06.017
   Han MG, 2021, GLOBAL CHANGE BIOL, V27, P190, DOI 10.1111/gcb.15391
   Hemery GE, 2010, FORESTRY, V83, P65, DOI 10.1093/forestry/cpp034
   Herron PM, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00323
   Hynynen J, 2010, FORESTRY, V83, P103, DOI 10.1093/forestry/cpp035
   Ingestad T., 1962, Macro Element Nutrition of Pine, Spruce, and Birch Seedlings in Nutrient Solutions
   Jaagus J, 2014, EST J EARTH SCI, V63, P166, DOI 10.3176/earth.2014.15
   Jiang Z, 2022, SOIL BIOL BIOCHEM, V171, DOI 10.1016/j.soilbio.2022.108722
   Jones DL, 2004, NEW PHYTOL, V163, P459, DOI 10.1111/j.1469-8137.2004.01130.x
   Kjellström E, 2018, EARTH SYST DYNAM, V9, P459, DOI 10.5194/esd-9-459-2018
   KUBIKOVA JARMILA, 1967, PRESLIA [PRAHA], V39, P236
   Kukumägi M, 2014, AGR FOREST METEOROL, V194, P167, DOI 10.1016/j.agrformet.2014.04.003
   Lambers H., 2002, Respiratory patterns in roots in relation to their functioning. Plant roots: The hidden half, V3rd ed., P533
   Lambers H., 2008, Plant Physiological Ecology, V2nd edn, DOI DOI 10.1007/978-0-387-78341-3
   LOHMUS K, 1989, PLANT SOIL, V119, P245, DOI 10.1007/BF02370415
   Ma ZQ, 2018, NATURE, V555, P94, DOI 10.1038/nature25783
   Mäkelä A, 2022, FOREST ECOL MANAG, V520, DOI 10.1016/j.foreco.2022.120355
   [Masson-Delmotte V. Intergovernmental Panel on Climate Change Intergovernmental Panel on Climate Change], 2021, 6 ASSESSMENT REPORT, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896]
   Meier IC, 2020, NEW PHYTOL, V226, P583, DOI 10.1111/nph.16389
   Miller AJ, 2005, PLANT SOIL, V274, P1, DOI 10.1007/s11104-004-0965-1
   Nazimova DI., 2005, ECOSYSTEMS WORLD 6 C, P23
   Oksanen E., 2019, PROGR BOT, V80, P317, DOI [10.1007/124_2017_15., DOI 10.1007/124_2017_15]
   Ostonen I, 2007, PLANT BIOSYST, V141, P426, DOI 10.1080/11263500701626069
   Ostonen I, 1999, PLANT SOIL, V208, P283, DOI 10.1023/A:1004552907597
   Ostonen I, 2017, NEW PHYTOL, V215, P977, DOI 10.1111/nph.14643
   Ostonen I, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00335
   Ostonen I, 2011, GLOBAL CHANGE BIOL, V17, P3620, DOI 10.1111/j.1365-2486.2011.02501.x
   Parts K, 2013, FOREST ECOL MANAG, V310, P720, DOI 10.1016/j.foreco.2013.09.017
   Phillips RP, 2008, FUNCT ECOL, V22, P990, DOI 10.1111/j.1365-2435.2008.01495.x
   Phillips RP, 2011, ECOL LETT, V14, P187, DOI 10.1111/j.1461-0248.2010.01570.x
   PIGOTT CD, 1991, J ECOL, V79, P1147, DOI 10.2307/2261105
   Preece C, 2018, TREE PHYSIOL, V38, P690, DOI 10.1093/treephys/tpx163
   Radoglou K., 2009, Die Bodenkultur: Journal of Land Management, Food and Environment, V60, P9
   Raich JW, 2000, BIOGEOCHEMISTRY, V48, P71, DOI 10.1023/A:1006112000616
   Reich PB, 1998, FUNCT ECOL, V12, P395, DOI 10.1046/j.1365-2435.1998.00209.x
   Rosenvald K, 2014, FOREST ECOL MANAG, V330, P252, DOI 10.1016/j.foreco.2014.07.016
   Selaya NG, 2010, ECOLOGY, V91, P1102, DOI 10.1890/08-2111.1
   Sell M, 2022, TREE PHYSIOL, V42, P557, DOI 10.1093/treephys/tpab118
   Sellin A, 2017, REG ENVIRON CHANGE, V17, P2135, DOI 10.1007/s10113-016-1042-z
   Sellin A, 2013, ECOL RES, V28, P523, DOI 10.1007/s11284-013-1041-1
   Seppä H, 2009, J ECOL, V97, P629, DOI 10.1111/j.1365-2745.2009.01505.x
   Smilauer P., 2002, CANOCO REFERENCE MAN
   STRAUSSDEBENEDETTI S, 1991, OECOLOGIA, V87, P377, DOI 10.1007/BF00634595
   Sun LJ, 2021, NEW PHYTOL, V229, P259, DOI 10.1111/nph.16865
   Sun LJ, 2017, ECOL RES, V32, P331, DOI 10.1007/s11284-017-1440-9
   Sutton R. F., 1983, Root and root system terminology
   Takashima T, 2004, PLANT CELL ENVIRON, V27, P1047, DOI 10.1111/j.1365-3040.2004.01209.x
   Tullus A, 2007, FOREST ECOL MANAG, V245, P118, DOI 10.1016/j.foreco.2007.04.006
   Tullus A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042648
   Tullus A, 2012, SCAND J FOREST RES, V27, P10, DOI 10.1080/02827581.2011.628949
   Vicente-Serrano SM, 2018, EARTH SYST DYNAM, V9, P915, DOI 10.5194/esd-9-915-2018
   von Arx G, 2012, AGR FOREST METEOROL, V166, P144, DOI 10.1016/j.agrformet.2012.07.018
   Walters MB, 1996, ECOLOGY, V77, P841, DOI 10.2307/2265505
   Wang QT, 2021, PLANT SOIL, V458, P277, DOI [10.1007/s11104-019-04156-0, 10.1145/3361242.3361254]
   Xiao MZ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9967
   Zangaro W, 2016, J TROP ECOL, V32, P300, DOI 10.1017/S0266467416000274
NR 76
TC 1
Z9 1
U1 19
U2 19
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 16
PY 2024
VL 15
AR 1389569
DI 10.3389/fpls.2024.1389569
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA A3F7L
UT WOS:001281427100001
PM 39086915
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Adimassu, Z
   Tamene, L
   Tibebe, D
   Ebrahim, M
   Abera, W
AF Adimassu, Zenebe
   Tamene, Lulseged
   Tibebe, Degefie
   Ebrahim, Mohammed
   Abera, Wuletawu
TI Identification and prioritization of context-specific climate smart
   agricultural (CSA) practices in Ethiopia: a framework approach
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE climate smart agriculture; prioritization framework; climate change;
   adaptation; mitigation; climate action; experts' knowledge
ID WATER CONSERVATION; USE EFFICIENCY; SOIL; FERTILIZER; FARMERS; YIELD;
   LIVELIHOODS; EXCLOSURES; MANAGEMENT; IMPACTS
AB Ethiopia's diverse agroecological zones showcase a variety of Climate Smart Agricultural (CSA) Practices, yet the documentation and prioritization of best-bet practices have been lacking. To address this gap, this study utilized the Climate Change, Agriculture, and Food Security (CCAFS)-CSA Prioritization framework. This approach was deployed across nine key agro-ecologies in Ethiopia to identify and prioritize CSA practices based on the three pillars of CSA and gender-equity considerations. By employing this participatory framework, this study successfully identified and prioritized over 200 Climate Smart Agricultural (CSA) practices within Ethiopia's nine major agroecological zones. These practices were segmented into four main systems: crop management (40 practices), livestock management (41 practices), soil fertility management (40 practices), erosion control and water management (41 practices), and forest and agroforestry (40 practices). Notably, the results highlighted the significance of CSA practices linked to agroforestry/forestry management, rangeland/forage enhancement, exclosure strategies, and water management in addressing the goals associated with the three pillars (productivity, adaptation, mitigation) of CSA practices simultaneously. The findings also revealed that the majority of Climate Smart Agricultural (CSA) practices focused on improving productivity and enhancing adaptation to climate change. Additionally, the results demonstrated that trade-offs exist among the three pillars of CSA, emphasizing the need for integration with other practices to enhance complementarity and achieve all pillars simultaneously. Overall, this study underscores the importance of combining CSA practices of various categories to maximize their effectiveness and impact in sustainable agriculture.
C1 [Adimassu, Zenebe; Tamene, Lulseged; Tibebe, Degefie; Ebrahim, Mohammed; Abera, Wuletawu] Int Ctr Trop Agr CIAT, Addis Ababa, Ethiopia.
C3 Alliance; International Center for Tropical Agriculture - CIAT
RP Adimassu, Z (corresponding author), Int Ctr Trop Agr CIAT, Addis Ababa, Ethiopia.
EM Zenebeteferi@yahoo.com
RI Abera, Wuletawu/JBS-3008-2023; Adimassu, Zenebe/E-1526-2016
OI Adimassu, Zenebe/0000-0002-7645-918X
FU International Development Association (IDA) of the World Bank; Private
   Sector Incentives and Investments (PSII) for Agroecology Transitions
FX The Accelerating Impact of CGIAR Climate Research for Africa (AICCRA)
   project is supported by a grant from the International Development
   Association (IDA) of the World Bank. IDA helps the world's poorest
   countries by providing grants and low to zero-interest loans for
   projects and programs that boost economic growth, reduce poverty, and
   improve poor people's lives. IDA is one of the largest sources of
   assistance for the world's 76 poorest countries, 39 of which are in
   Africa. Annual IDA commitments have averaged about $21 billion over
   circa 2017-2020, with approximately 61 percent going to Africa. Authors
   acknowledge all experts involved in identifying and prioritizing CSA
   practice. Authors also benefited from the Sustainable Intensification of
   Mixed Farming System (SIMFS) initiative of the CGIAR and the Private
   Sector Incentives and Investments (PSII) for Agroecology Transitions.
CR Abebe T, 2012, FOREST-PEOPLE INTERFACES: UNDERSTANDING COMMUNITY FORESTRY AND BIOCULTURAL DIVERSITY, P69
   Abegaz S., 2014, Acta Agraria Kaposvariensis, V18, P47
   Abegunde VO, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10030052
   Abegunde VOO, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042317
   Abera L., 2019, 2019. Workshop proceeding on Adaptation and Generation of Agricultural Technologies, V2019, P6
   Adgo E, 2013, AGR WATER MANAGE, V117, P55, DOI 10.1016/j.agwat.2012.10.026
   Adimassu A., 2021, Wageningen, the Netherlands: CGIAR Research Program on Climate Change
   Adimassu Z., 2023, AICCRA Working paper, V10
   Adimassu Z., 2023, AICCRA Working Paper, V11, P1
   Adimassu Z., 2021, Alliance Bioversity CIAT Reports, V44, P1
   Adimassu Z, 2017, ENVIRON MANAGE, V59, P87, DOI 10.1007/s00267-016-0776-1
   Akinyi DP, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09228
   Amare Aleminew Wubie Amare Aleminew Wubie, 2015, Journal of Biology, Agriculture and Healthcare, V5, P92
   Andrieu N, 2017, AGR SYST, V154, P13, DOI 10.1016/j.agsy.2017.02.008
   [Anonymous], 2016, ETI Base Code
   [Anonymous], 2012, Climate change adaptation in Senegal
   [Anonymous], 2010, CLIM SMART AGR POL P
   Araya A, 2010, AGR WATER MANAGE, V97, P841, DOI 10.1016/j.agwat.2010.01.012
   Assefa T, 2019, WATER-SUI, V11, DOI 10.3390/w11030530
   Ayele Y., 2014, J EC SUSTAINABLE DEV, V5, P72
   Balana BB, 2012, FOREST POLICY ECON, V15, P27, DOI 10.1016/j.forpol.2011.09.008
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bayu W, 2012, ARCH AGRON SOIL SCI, V58, P547, DOI 10.1080/03650340.2010.532488
   Bekana G., 2018, International Journal of Information, Business and Management, V10, P197
   Berihun T, 2017, J PLANT NUTR SOIL SC, V180, P381, DOI 10.1002/jpln.201600343
   Bricca D., 2019, 2019 IEEE INT C ENV, V1, P1, DOI DOI 10.1109/eeeic.2019.8783342
   Campbell BM, 2016, GLOB FOOD SECUR-AGR, V11, P34, DOI 10.1016/j.gfs.2016.06.002
   Corner-Dolloff C., 2014, Presentation at COP 20
   Das U, 2022, AGR SYST, V203, DOI 10.1016/j.agsy.2022.103515
   Degefie D.T., 2019, AGR DROUGHT PROJECTI, P311, DOI DOI 10.1016/B978-0-12-815998-9.00024-5
   Diro Samuel, 2019, Ethiop. J. Agric. Sci., V29, P29
   Duguma LA, 2013, AGROFOREST SYST, V87, P217, DOI 10.1007/s10457-012-9537-1
   Ejigu MT, 2021, MODEL EARTH SYST ENV, V7, P511, DOI 10.1007/s40808-020-00927-2
   FAO, 2012, DEV CLIM SMART AGR S
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Gardezi M, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.755
   Girvetz E., 2017, Agriculture for Development, P12
   Hurni H., 2016, Ministry of Agriculture (MoA), V2, P134
   Kebede Wolka Kebede Wolka, 2014, Journal of Environmental Science and Technology, V7, P185, DOI 10.3923/jest.2014.185.199
   Khatri-Chhetri A, 2019, AGR SYST, V174, P23, DOI 10.1016/j.agsy.2019.03.002
   Khatri-Chhetri A, 2017, AGR SYST, V151, P184, DOI 10.1016/j.agsy.2016.10.005
   Lemenih M, 2014, FORESTS, V5, P1896, DOI 10.3390/f5081896
   Leroy G, 2016, ANIMAL, V10, P262, DOI 10.1017/S175173111500213X
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Lizarazo M., 2021, CIAT Publication, V508, P55
   Mathewos M, 2023, ENVIRON RES COMMUN, V5, DOI 10.1088/2515-7620/ad0576
   Mcsweeney C., 2009, UNDP CLIMATE CHANGE
   Meaza H, 2016, NORSK GEOGR TIDSSKR, V70, P1, DOI 10.1080/00291951.2015.1091033
   Mekbib F, 2006, EUPHYTICA, V152, P163, DOI 10.1007/s10681-006-9191-7
   Mekonnen M, 2023, AGROFOREST SYST, V97, P305, DOI 10.1007/s10457-021-00612-y
   Mekuria W, 2013, LAND DEGRAD DEV, V24, P528, DOI 10.1002/ldr.1146
   Mekuria W, 2011, LAND DEGRAD DEV, V22, P334, DOI 10.1002/ldr.1001
   Mekuria W, 2007, J ARID ENVIRON, V69, P270, DOI 10.1016/j.jaridenv.2006.10.009
   Menghistu HT, 2021, CARBON MANAG, V12, P289, DOI 10.1080/17583004.2021.1921620
   Mengistu T, 2017, INT J RECYCLING ORG, V6, P63, DOI 10.1007/s40093-017-0153-y
   Mesfin S, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7528-x
   MoEF (Ministry of Environment and Forest), 2015, The Federal Democratic Republic of Ethiopia
   Molla A., 2018, Agriculture, Forestry and Fisheries, V7, P19, DOI [10.11648/j.aff.20180701.14, DOI 10.11648/J.AFF.20180701.14]
   Mume J., 2014, International Journal of Novel Research in Marketing Management and Economics, V1, P10
   Mutamba M., 2014, Climate-Smart Agriculture: Farmers Perspectives
   Mwongera C, 2017, AGR SYST, V151, P192, DOI 10.1016/j.agsy.2016.05.009
   Nganga K S., 2021, Heliyon, V7, P4
   Reddy M S., 1996, P 1 C AGR CROP PHYS, P5
   Schaafsma M, 2018, ENVIRON SCI POLICY, V80, P117, DOI 10.1016/j.envsci.2017.11.007
   Seyoum A., 2019, Advances in Crop Science and Technology, V7, P423
   Shikuku KM, 2017, AGR SYST, V151, P204, DOI 10.1016/j.agsy.2016.06.004
   Sida TS, 2018, AGR FOREST METEOROL, V248, P339, DOI 10.1016/j.agrformet.2017.10.013
   Subhatu A, 2018, LAND DEGRAD DEV, V29, P3584, DOI 10.1002/ldr.3109
   Tamene L., 2021, CCAFS Activity Report, P18
   Tegene S, 2021, TROP PLANT PATHOL, V46, P393, DOI 10.1007/s40858-021-00437-1
   Tesfaye A, 2016, INT SOIL WATER CONSE, V4, P20, DOI 10.1016/j.iswcr.2016.01.003
   Tesfaye W, 2021, AM J AGR ECON, V103, P878, DOI 10.1111/ajae.12161
   Teshome Akalu, 2010, Ecohydrology & Hydrobiology, V10, P315, DOI 10.2478/v10104-011-0016-5
   Thornton P., 2017, Climate Smart Agriculture: Building Resilience to Climate Change
   Thornton PK, 2018, AGR SYST, V167, P161, DOI 10.1016/j.agsy.2018.09.009
   Tovihoudji PG, 2017, FIELD CROP RES, V213, P130, DOI 10.1016/j.fcr.2017.08.003
   Xie H, 2023, ENVIRON RES COMMUN, V5, DOI 10.1088/2515-7620/acd6db
   Zegeye H., 2018, Int. J. Res. Environ. Stu, V5, P18, DOI DOI 10.33500/IJRES.2018.5.003
   Zerssa G, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030192
   Zougmoré RB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084305
NR 81
TC 1
Z9 1
U1 12
U2 12
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 JUN 1
PY 2024
VL 6
IS 6
AR 065007
DI 10.1088/2515-7620/ad54a1
PG 24
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA UT9W7
UT WOS:001250438200001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, C
   Huang, HB
   Hui, FM
   Zhang, ZQ
   Cheng, X
AF Liu, Chong
   Huang, Huabing
   Hui, Fengming
   Zhang, Ziqian
   Cheng, Xiao
TI Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on
   Dense Sentinel-2 Time Series Data
SO REMOTE SENSING
LA English
DT Article
DE arctic lake; ice-off phenology; dense time series; Sentinel-2
ID NORTHERN-HEMISPHERE; IMAGERY
AB The timing of lake ice-off regulates biotic and abiotic processes in Arctic ecosystems. Due to the coarse spatial and temporal resolution of available satellite data, previous studies mainly focused on lake-scale investigations of melting/freezing, hindering the detection of subtle patterns within heterogeneous landscapes. To fill this knowledge gap, we developed a new approach for fine-resolution mapping of Pan-Arctic lake ice-off phenology. Using the Scene Classification Layer data derived from dense Sentinel-2 time series images, we estimated the pixel-by-pixel ice break-up end date information by seeking the transition time point when the pixel is completely free of ice. Applying this approach on the Google Earth Engine platform, we mapped the spatial distribution of the break-up end date for 45,532 lakes across the entire Arctic (except for Greenland) for the year 2019. The evaluation results suggested that our estimations matched well with both in situ measurements and an existing lake ice phenology product. Based on the generated map, we estimated that the average break-up end time of Pan-Arctic lakes is 172 +/- 13.4 (measured in day of year) for the year 2019. The mapped lake ice-off phenology exhibits a latitudinal gradient, with a linear slope of 1.02 days per degree from 55 degrees N onward. We also demonstrated the importance of lake and landscape characteristics in affecting spring lake ice melting. The proposed approach offers new possibilities for monitoring the seasonal Arctic lake ice freeze-thaw cycle, benefiting the ongoing efforts of combating and adapting to climate change.
C1 [Liu, Chong; Huang, Huabing; Hui, Fengming; Zhang, Ziqian; Cheng, Xiao] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Guangzhou 510275, Peoples R China.
   [Liu, Chong; Huang, Huabing; Hui, Fengming; Cheng, Xiao] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China.
C3 Sun Yat Sen University; Southern Marine Science & Engineering Guangdong
   Laboratory; Southern Marine Science & Engineering Guangdong Laboratory
   (Zhuhai)
RP Cheng, X (corresponding author), Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Guangzhou 510275, Peoples R China.; Cheng, X (corresponding author), Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China.
EM liuc@mail.sysu.edu.cn; huanghb55@mail.sysu.edu.cn;
   huifm@mail.sysu.edu.cn; zhangzq55@mail2.sysu.edu.cn;
   chengxiao9@mail.sysu.edu.cn
RI Zhang, Ziqian/HJY-8135-2023; Huang, huabing/JHT-7278-2023; cheng,
   xiao/LBH-6974-2024
OI Zhang, Ziqian/0000-0003-3638-6294; huang, hua bing/0000-0001-6253-8437;
   Cheng, Xiao/0000-0001-6910-6565
FU National Key R&D Program of China [2019YFC1509104, 2018YFC1407103];
   Innovation Group Project of Southern Marine Science and Engineering
   Guangdong Laboratory (Zhuhai) [311021008]
FX This research was funded by the National Key R&D Program of China (No.
   2019YFC1509104, No. 2018YFC1407103) and Innovation Group Project of
   Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
   (No. 311021008).
CR Arp CD, 2013, LIMNOL OCEANOGR, V58, P2013, DOI 10.4319/lo.2013.58.6.2013
   Beltaos S, 2009, HYDROL PROCESS, V23, P122, DOI 10.1002/hyp.7165
   Brown LC, 2012, ADV METEOROL, V2012, DOI 10.1155/2012/529064
   Che T, 2009, CHINESE SCI BULL, V54, P2294, DOI 10.1007/s11434-009-0044-3
   Chen BQ, 2017, ISPRS J PHOTOGRAMM, V131, P104, DOI 10.1016/j.isprsjprs.2017.07.011
   Cooley SW, 2019, GEOPHYS RES LETT, V46, P2111, DOI 10.1029/2018GL081584
   Cooley SW, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9121306
   Cory RM, 2014, SCIENCE, V345, P925, DOI 10.1126/science.1253119
   Dauginis A., 2021, The Cryosphere Discussions, DOI DOI 10.5194/TC-2021-52
   Dong JW, 2016, REMOTE SENS ENVIRON, V185, P142, DOI 10.1016/j.rse.2016.02.016
   Du JY, 2017, CRYOSPHERE, V11, P47, DOI 10.5194/tc-11-47-2017
   Duguay CR, 2015, REMOTE SENSING OF THE CRYOSPHERE, P273
   Duguay CR, 2006, HYDROL PROCESS, V20, P781, DOI 10.1002/hyp.6131
   Engram M, 2020, NAT CLIM CHANGE, V10, P511, DOI 10.1038/s41558-020-0762-8
   Engram M, 2012, CAN J REMOTE SENS, V38, P667, DOI 10.5589/m12-054
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Kang KK, 2012, CRYOSPHERE, V6, P235, DOI 10.5194/tc-6-235-2012
   Kirillin G, 2012, AQUAT SCI, V74, P659, DOI 10.1007/s00027-012-0279-y
   Liang YL, 2012, REMOTE SENS ENVIRON, V123, P127, DOI 10.1016/j.rse.2012.03.020
   Liu C, 2020, REMOTE SENS ENVIRON, V251, DOI 10.1016/j.rse.2020.112095
   Liu C, 2019, REMOTE SENS ENVIRON, V229, P114, DOI 10.1016/j.rse.2019.04.025
   Louis J, 2019, INT GEOSCI REMOTE SE, P8522, DOI [10.1109/igarss.2019.8898540, 10.1109/IGARSS.2019.8898540]
   Magee MR, 2017, HYDROL PROCESS, V31, P308, DOI 10.1002/hyp.10996
   Messager ML, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13603
   Mishra V, 2011, GLOBAL PLANET CHANGE, V76, P166, DOI 10.1016/j.gloplacha.2011.01.004
   Murfitt J, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030382
   Muster S, 2017, EARTH SYST SCI DATA, V9, P317, DOI 10.5194/essd-9-317-2017
   Newton A.M.W., 2020, CRYOSPHERE DISCUSSIO, DOI [10.5194/tc-2020-172, DOI 10.5194/TC-2020-172]
   Nitze I, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07663-3
   Olefeldt D., 2021, Earth System Science Data Discussions, DOI [10.5194/essd-2021-140, DOI 10.5194/ESSD-2021-140]
   Paltan H, 2015, INT J REMOTE SENS, V36, P5970, DOI 10.1080/01431161.2015.1110263
   Pickens AH, 2020, REMOTE SENS ENVIRON, V243, DOI 10.1016/j.rse.2020.111792
   Raiyani K, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13020300
   Raynolds MK, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111297
   Rey DM, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf06f
   Ruan YJ, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD033082
   Scott KA, 2020, J GREAT LAKES RES, V46, P1521, DOI 10.1016/j.jglr.2020.08.018
   Sharma S, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2020JG005799
   Sharma S, 2019, NAT CLIM CHANGE, V9, P227, DOI 10.1038/s41558-018-0393-5
   Smejkalová T, 2016, SCI REP-UK, V6, DOI 10.1038/srep38449
   Smith LC, 2005, SCIENCE, V308, P1429, DOI 10.1126/science.1108142
   Surdu CM, 2016, CRYOSPHERE, V10, P941, DOI 10.5194/tc-10-941-2016
   Walker DA, 2005, J VEG SCI, V16, P267, DOI 10.1111/j.1654-1103.2005.tb02365.x
   Weber H, 2016, REMOTE SENS ENVIRON, V174, P329, DOI 10.1016/j.rse.2015.12.014
   Williams G, 2004, COLD REG SCI TECHNOL, V40, P145, DOI 10.1016/j.coldregions.2004.06.010
   Xiong C., 2020, IEEE T DEPENDABLE SE, V99, P1
   Yang Q, 2019, INT J REMOTE SENS, V40, P5388, DOI 10.1080/01431161.2019.1579939
   Yang X, 2020, NATURE, V577, P69, DOI 10.1038/s41586-019-1848-1
   Zhang S, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141718
   Zhu Z, 2020, REMOTE SENS ENVIRON, V238, DOI 10.1016/j.rse.2019.03.009
NR 50
TC 4
Z9 6
U1 1
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD JUL
PY 2021
VL 13
IS 14
AR 2742
DI 10.3390/rs13142742
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 TO6CK
UT WOS:000676996900001
OA gold
DA 2025-01-10
ER

PT J
AU Santos, AS
   Gaiotto, FA
AF Santos, Alesandro Souza
   Gaiotto, Fernanda Amato
TI Knowledge status and sampling strategies to maximize cost-benefit ratio
   of studies in landscape genomics of wild plants
SO SCIENTIFIC REPORTS
LA English
DT Article
ID LOCAL ADAPTATION; POPULATION GENOMICS; NATURAL-SELECTION;
   NEXT-GENERATION; CANDIDATE GENES; CLIMATE; DETERMINANTS; SIGNATURES;
   RESPONSES; GENETICS
AB To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome-environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
C1 [Santos, Alesandro Souza; Gaiotto, Fernanda Amato] Univ Estadual Santa Cruz, Appl Ecol & Conservat Lab, Rodovia Ilheus Itabuna,Km 16, BR-45662901 Ilheus, BA, Brazil.
C3 Universidade Estadual de Santa Cruz
RP Santos, AS (corresponding author), Univ Estadual Santa Cruz, Appl Ecol & Conservat Lab, Rodovia Ilheus Itabuna,Km 16, BR-45662901 Ilheus, BA, Brazil.
EM alesandrouesc@gmail.com
RI Santos, Alesandro/W-8329-2019; Gaiotto, Fernanda Amato/F-3382-2010
OI Souza Santos, Alesandro/0000-0001-5804-9972; Kluen,
   Edward/0000-0002-4793-7760; Loehr, John/0000-0002-6212-0273; Santangeli,
   Andrea/0000-0003-0273-1977; Gaiotto, Fernanda Amato/0000-0002-7140-565X
FU Brazilian National Council of Scientific and Technological Development
   (CNPq); Coordination for the Improvement of Higher Education Personnel
   (CAPES)
FX The authors thank the Brazilian National Council of Scientific and
   Technological Development (CNPq) for the FAG research productivity
   fellowship; and Coordination for the Improvement of Higher Education
   Personnel (CAPES) for granting a scholarship to ASS. The authors also
   thank Marina Correa Cortes, Luciana Aparecida Carlini Garcia, and
   Ricardo Dobrovolski for the corrections in the first version of the
   manuscript. The authors acknowledge Dr. Leandro L. Loguercio and Dra.
   Thamara M. Lima who also helped on the writing of the resubmitting
   letter.
CR Ahrens CW, 2018, MOL ECOL, V27, P1342, DOI 10.1111/mec.14549
   Alam Z, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-017-4396-9
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Andrews KR, 2016, NAT REV GENET, V17, P81, DOI 10.1038/nrg.2015.28
   Andrews KR, 2014, MOL ECOL, V23, P1661, DOI 10.1111/mec.12686
   Bansal V, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018353
   Bashalkhanov S, 2013, MOL ECOL, V22, P5877, DOI 10.1111/mec.12546
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Benestan LM, 2016, MOL ECOL, V25, P2967, DOI 10.1111/mec.13647
   Calic I, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-015-0960-0
   Christmas MJ, 2016, MOL ECOL, V25, P4216, DOI 10.1111/mec.13750
   Cullingham CI, 2014, NEW PHYTOL, V204, P215, DOI 10.1111/nph.12896
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   De Kort H, 2015, HEREDITY, V115, P415, DOI 10.1038/hdy.2015.41
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   Di Pierro EA, 2017, FOREST ECOL MANAG, V405, P350, DOI 10.1016/j.foreco.2017.09.045
   Di Pierro EA, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-0972-4
   Eckert AJ, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0863-0
   Eckert AJ, 2010, MOL ECOL, V19, P3789, DOI 10.1111/j.1365-294X.2010.04698.x
   Fahrenkrog AM, 2017, ECOL EVOL, V7, P9426, DOI 10.1002/ece3.3466
   Fahrig L, 2003, ANNU REV ECOL EVOL S, V34, P487, DOI 10.1146/annurev.ecolsys.34.011802.132419
   Fischer MC, 2013, MOL ECOL, V22, P5594, DOI 10.1111/mec.12521
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Frachon L, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00967
   Futschik A, 2010, GENETICS, V186, P207, DOI 10.1534/genetics.110.114397
   Gaut B, 2012, NAT GENET, V44, P732, DOI 10.1038/ng0612-732a
   Gautier M, 2013, MOL ECOL, V22, P3766, DOI 10.1111/mec.12360
   Geraldes A, 2014, EVOLUTION, V68, P3260, DOI 10.1111/evo.12497
   Gugger PF, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-0975-1
   Hansen MM, 2012, MOL ECOL, V21, P1311, DOI 10.1111/j.1365-294X.2011.05463.x
   Hirao A. S, 2017, AM J MOL BIOL, V7, P153
   Jaramillo-Correa JP, 2015, GENETICS, V199, P793, DOI 10.1534/genetics.114.173252
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keller SR, 2012, MOL BIOL EVOL, V29, P3143, DOI 10.1093/molbev/mss121
   Lai AF, 2018, ICEMT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON EDUCATION AND MULTIMEDIA TECHNOLOGY, P9, DOI 10.1145/3206129.3239420
   Lanes E.C., 2018, Frontiers in Plant Science, V9, P1, DOI [10.3389/fpls.2018, DOI 10.3389/FPLS.2018]
   Lind BM, 2017, MOL ECOL, V26, P3168, DOI 10.1111/mec.14106
   Liu BS, 2013, CONSTR MANAG ECON, V31, P731, DOI 10.1080/01446193.2013.817679
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Manel S, 2016, MOL ECOL, V25, P170, DOI 10.1111/mec.13468
   Manel S, 2010, MOL ECOL, V19, P3760, DOI 10.1111/j.1365-294X.2010.04717.x
   Mannion PD, 2014, TRENDS ECOL EVOL, V29, P42, DOI 10.1016/j.tree.2013.09.012
   Martins K, 2018, EVOL APPL, V11, P1842, DOI 10.1111/eva.12684
   Modesto IS, 2014, TREE GENET GENOMES, V10, P1645, DOI 10.1007/s11295-014-0786-1
   Mosca E, 2012, MOL ECOL, V21, P5530, DOI 10.1111/mec.12043
   Mosca E, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-015-0964-9
   Mosca E, 2014, NEW PHYTOL, V201, P180, DOI 10.1111/nph.12476
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Parisod C, 2012, MOL ECOL, V21, P3644, DOI 10.1111/j.1365-294X.2012.05675.x
   Parmesan C, 2015, ANN BOT-LONDON, V116, P849, DOI 10.1093/aob/mcv169
   Pluess AR, 2016, NEW PHYTOL, V210, P589, DOI 10.1111/nph.13809
   Prunier J, 2012, MOL ECOL, V21, P4270, DOI 10.1111/j.1365-294X.2012.05691.x
   Rajora OP, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0158691
   Rellstab C, 2017, HEREDITY, V118, P193, DOI 10.1038/hdy.2016.82
   Rellstab C, 2016, MOL ECOL, V25, P5907, DOI 10.1111/mec.13889
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Robasky K, 2014, NAT REV GENET, V15, P56, DOI 10.1038/nrg3655
   Roschanski AM, 2016, MOL ECOL, V25, P776, DOI 10.1111/mec.13516
   Daniels RR, 2018, MOL ECOL, V27, P3331, DOI 10.1111/mec.14786
   Scalfi M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115499
   Schlötterer C, 2014, NAT REV GENET, V15, P749, DOI 10.1038/nrg3803
   Schoville SD, 2012, ANNU REV ECOL EVOL S, V43, P23, DOI 10.1146/annurev-ecolsys-110411-160248
   Shafer ABA, 2015, TRENDS ECOL EVOL, V30, P78, DOI 10.1016/j.tree.2014.11.009
   Slik JWF, 2015, P NATL ACAD SCI USA, V112, P7472, DOI 10.1073/pnas.1423147112
   Sork VL, 2016, AM J BOT, V103, P33, DOI 10.3732/ajb.1500162
   Steane DA, 2014, MOL ECOL, V23, P2500, DOI 10.1111/mec.12751
   Storfer A, 2010, MOL ECOL, V19, P3496, DOI 10.1111/j.1365-294X.2010.04691.x
   Tsumura Yoshihiko, 2014, G3 (Bethesda), V4, P2389, DOI 10.1534/g3.114.013896
   Turner TL, 2010, NAT GENET, V42, P260, DOI 10.1038/ng.515
   Wickham H., 2016, GGPLOT2 ELEGANT GRAP
   Wilson MC, 2016, LANDSCAPE ECOL, V31, P219, DOI 10.1007/s10980-015-0312-3
   Zhou YF, 2014, MOL ECOL, V23, P3504, DOI 10.1111/mec.12830
NR 75
TC 13
Z9 15
U1 0
U2 14
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD FEB 28
PY 2020
VL 10
IS 1
AR 3706
DI 10.1038/s41598-020-60788-8
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA NF1IK
UT WOS:000563055600001
PM 32111897
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Bank-Nielsen, PI
   Long, MH
   Bonefeld-Jorgensen, EC
AF Bank-Nielsen, Per I.
   Long, Manhai
   Bonefeld-Jorgensen, Eva C.
TI Pregnant Inuit Women's Exposure to Metals and Association with Fetal
   Growth Outcomes: ACCEPT 2010-2015
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE Greenland; Arctic; heavy metals; perinatal risks; smoking; reproductive
   health; environmental pollutants
ID PERSISTENT ORGANIC POLLUTANTS; TRANS-FATTY-ACIDS; MATERNAL
   BLOOD-CONCENTRATIONS; PRENATAL ALCOHOL EXPOSURE; ESSENTIAL
   TRACE-ELEMENTS; ORGANOCHLORINE PESTICIDES; ENVIRONMENTAL CONTAMINANTS;
   WHOLE-BLOOD; LIFE-STYLE; MULTIELEMENT ANALYSIS
AB Environmental contaminants such as heavy metals are transported to the Arctic regions via atmospheric and ocean currents and enter the Arctic food web. Exposure is an important risk factor for health and can lead to increased risk of a variety of diseases. This study investigated the association between pregnant women's levels of heavy and essential metals and the birth outcomes of the newborn child. This cross-sectional study is part of the ACCEPT birth cohort (Adaption to Climate Change, Environmental Pollution, and dietary Transition) and included 509 pregnant Inuit women 18 years of age. Data were collected in five Greenlandic regions during 2010-2015. Population characteristics and birth outcomes were obtained from medical records and midwives, respectively, and blood samples were analyzed for 13 metals. Statistical analysis included one-way ANOVA, Spearman's rho, and multiple linear and logistic regression analyses. The proportion of current smokers was 35.8%. The levels of cadmium, chromium, and nickel were higher compared to reported normal ranges. Significant regional differences were observed for several metals, smoking, and parity. Cadmium and copper were significantly inversely related to birth outcomes. Heavy metals in maternal blood can adversely influence fetal development and growth in a dose-response relationship. Diet and lifestyle factors are important sources of toxic heavy metals and deviant levels of essential metals. The high frequency of smokers in early pregnancy is of concern, and prenatal exposure to heavy metals and other environmental contaminants in the Greenlandic Inuit needs further research.
C1 [Bank-Nielsen, Per I.; Long, Manhai; Bonefeld-Jorgensen, Eva C.] Aarhus Univ, Dept Publ Hlth, Ctr Arctic Hlth & Mol Epidemiol, DK-8000 Aarhus C, Denmark.
   [Bonefeld-Jorgensen, Eva C.] Univ Greenland, Greenland Ctr Hlth Res, Nuuk 3900, Greenland.
C3 Aarhus University
RP Bonefeld-Jorgensen, EC (corresponding author), Aarhus Univ, Dept Publ Hlth, Ctr Arctic Hlth & Mol Epidemiol, DK-8000 Aarhus C, Denmark.; Bonefeld-Jorgensen, EC (corresponding author), Univ Greenland, Greenland Ctr Hlth Res, Nuuk 3900, Greenland.
EM pbn@ph.au.dk; ml@ph.au.dk; ebj@ph.au.dk
OI Long, Manhai/0000-0002-4517-1829
FU Danish Environmental Protection Agency [MST-112-00225]; Aarhus
   University, Denmark
FX This research was funded by the Danish Environmental Protection Agency,
   grant number (MST-112-00225), and the APC was funded by Aarhus
   University, Denmark. The funders had no role in the design of the study;
   in the collection, analyses, or interpretation of data; in the writing
   of the manuscript, or in the decision to publish the results.
CR ABDULLA M, 1990, BIOL TRACE ELEM RES, V23, P25, DOI 10.1007/BF02917176
   Adal A., HEAVY METAL TOXICITY
   Adlard B, 2018, GLOBAL HEALTH ACTION, V11, DOI 10.1080/16549716.2018.1480084
   Al-Saleh I, 2014, INT J HYG ENVIR HEAL, V217, P205, DOI 10.1016/j.ijheh.2013.04.009
   AMAP, 2017, AMAP ASS 2016 CHEM E
   AMAP, 2016, AMAP assessment 2015: Human health in the Arctic, AMAP assessment report, P1, DOI [10.3402/ijch.v75.33949, DOI 10.3402/IJCH.V75.33949]
   Andersen S, 2013, INT J CIRCUMPOL HEAL, V72, P279, DOI 10.3402/ijch.v72i0.21086
   Anetor J., 2010, NIGER J PHYSL SCI, V23, P41, DOI [10.4314/njps.v23i1-2.54921, DOI 10.4314/NJPS.V23I1-2.54921]
   [Anonymous], 2010, ACT IS NEED CHEM MAJ
   [Anonymous], 2018, ISO 45001:2018: Sistema de gestao de saude e seguranca ocupacional - Requisitos com orientacao para uso, V1, P1, DOI DOI 10.1007/S13398-014-0173-7.2
   Arbuckle TE, 2016, CHEMOSPHERE, V163, P270, DOI 10.1016/j.chemosphere.2016.08.023
   Asmund G, 2004, SCI TOTAL ENVIRON, V331, P233, DOI 10.1016/j.scitotenv.2004.03.031
   Banderali G, 2015, J TRANSL MED, V13, DOI 10.1186/s12967-015-0690-y
   Barba C, 2004, LANCET, V363, P157, DOI 10.1016/s0140-6736(03)15268-3
   BARRIE LA, 1992, SCI TOTAL ENVIRON, V122, P1, DOI 10.1016/0048-9697(92)90245-N
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Benjamini Y, 2010, BIOMETRICAL J, V52, P708, DOI 10.1002/bimj.200900299
   Bjerregaard P, 2018, PUBLIC HEALTH REV, V39, DOI 10.1186/s40985-018-0085-8
   Bjerregaard P, 2013, SCI TOTAL ENVIRON, V454, P283, DOI 10.1016/j.scitotenv.2013.03.031
   Bjerregaard-Olesen C, 2017, ENVIRON SCI POLLUT R, V24, P16592, DOI 10.1007/s11356-017-8992-7
   Blencowe H, 2013, REPROD HEALTH, V10, DOI 10.1186/1742-4755-10-S1-S2
   Bonefeld-Jorgensen EC, 2010, RURAL REMOTE HEALTH, V10
   Bossi R, 2016, ENVIRON POLLUT, V217, P4, DOI 10.1016/j.envpol.2015.12.026
   Boucher O, 2014, ENVIRON HEALTH PERSP, V122, P310, DOI 10.1289/ehp.1206323
   Brocato J, 2015, J TRACE ELEM MED BIO, V31, P209, DOI 10.1016/j.jtemb.2014.04.001
   Carter RC, 2012, ALCOHOL CLIN EXP RES, V36, P1973, DOI 10.1111/j.1530-0277.2012.01810.x
   Caserta D, 2013, EUR REV MED PHARMACO, V17, P2198
   Caspersen IH, 2016, ENVIRON RES, V146, P136, DOI 10.1016/j.envres.2015.12.020
   Charania NA, 2014, ENVIRON SCI-PROC IMP, V16, P1422, DOI 10.1039/c4em00064a
   Chelchowska M, 2013, BIOL TRACE ELEM RES, V155, P169, DOI 10.1007/s12011-013-9775-8
   Chou WC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086398
   Curren MS, 2015, SCI TOTAL ENVIRON, V527, P150, DOI 10.1016/j.scitotenv.2015.04.079
   Dahl-Petersen I.K., 2014, BEFOLKNINGSUNDERSOGE
   Department of Bioscience, MIN ENV GREENL
   Evans D, 2012, BMC MED RES METHODOL, V12, DOI 10.1186/1471-2288-12-156
   Feldman HS, 2012, ALCOHOL CLIN EXP RES, V36, P670, DOI 10.1111/j.1530-0277.2011.01664.x
   Fontaine J, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-25
   Gandhi N, 2006, ENVIRON SCI TECHNOL, V40, P4714, DOI 10.1021/es052064l
   Gardner RM, 2011, REPROD TOXICOL, V31, P210, DOI 10.1016/j.reprotox.2010.11.002
   Gavidia T, 2011, LANCET, V377, P1134, DOI 10.1016/S0140-6736(10)60929-4
   Gelman A, 1996, J AM STAT ASSOC, V91, P1400, DOI 10.2307/2291566
   Gibson J, 2016, INT J CIRCUMPOL HEAL, V75, DOI 10.3402/ijch.v75.33804
   GREENLAND S, 1989, AM J PUBLIC HEALTH, V79, P340, DOI 10.2105/AJPH.79.3.340
   Hansen JC, 2000, TOXICOL LETT, V112, P119, DOI 10.1016/S0378-4274(99)00203-9
   Hansen S, 2011, J ENVIRON MONITOR, V13, P2143, DOI 10.1039/c1em10051c
   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]
   Henn BC, 2016, ENVIRON HEALTH PERSP, V124, P1308, DOI 10.1289/ehp.1510070
   Hennig B, 2012, ENVIRON HEALTH PERSP, V120, P771, DOI 10.1289/ehp.1104712
   Hung H, 2016, ENVIRON POLLUT, V217, P52, DOI 10.1016/j.envpol.2016.01.079
   Ikemoto T, 2008, CHEMOSPHERE, V72, P104, DOI 10.1016/j.chemosphere.2008.01.011
   International Agency for Research on Cancer, 2011, CADM CADM COMP
   Jaishankar Monisha, 2014, Interdiscip Toxicol, V7, P60, DOI 10.2478/intox-2014-0009
   Jan AT, 2015, INT J MOL SCI, V16, P29592, DOI 10.3390/ijms161226183
   Jennings AA, 2015, J ENVIRON MANAGE, V160, P16, DOI 10.1016/j.jenvman.2015.06.001
   Jeppesen C, 2012, SCAND J PUBLIC HEALT, V40, P475, DOI 10.1177/1403494812454467
   Jeppesen C, 2015, ENVIRON RES, V143, P192, DOI 10.1016/j.envres.2015.10.013
   JEPSON HA, 1991, BIRTH-ISS PERINAT C, V18, P83, DOI 10.1111/j.1523-536X.1991.tb00065.x
   Johansen P., 2004, 510 DMU
   Jorgensen ME, 2013, DIABETES CARE, V36, P2988, DOI 10.2337/dc12-2703
   Jurdi SR., 2015, GLOBAL PEDIATR HLTH, V2
   Kirk JL, 2012, ENVIRON RES, V119, P64, DOI 10.1016/j.envres.2012.08.012
   KNUDSEN A, 2018, HEALTH, V77
   Knudsen AKS, 2015, INT J CIRCUMPOL HEAL, V74, DOI 10.3402/ijch.v74.29469
   Lagatta J, 2012, ACTA PAEDIATR, V101, pe243, DOI 10.1111/j.1651-2227.2011.02334.x
   Laird BD, 2013, ENVIRON INT, V59, P33, DOI 10.1016/j.envint.2013.05.010
   Larsen TJ, 2018, ENVIRON RES, V164, P310, DOI 10.1016/j.envres.2018.03.003
   Li Ming, 2006, Wei Sheng Yan Jiu, V35, P453
   Long MH, 2015, SCI TOTAL ENVIRON, V529, P198, DOI 10.1016/j.scitotenv.2015.05.022
   Lundsberg LS, 2015, ANN EPIDEMIOL, V25, P46, DOI 10.1016/j.annepidem.2014.10.011
   Luo YW, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4225-8
   Ma YX, 2015, CHEMOSPHERE, V119, P953, DOI 10.1016/j.chemosphere.2014.09.012
   Maria KK, 2011, GINEKOL POL, V82, P39
   McDermott S, 2015, J TOXICOL ENV HEAL A, V78, P1348, DOI 10.1080/15287394.2015.1090939
   MENSINK RP, 1990, NEW ENGL J MED, V323, P439, DOI 10.1056/NEJM199008163230703
   Milman N, 2007, EUR J HAEMATOL, V79, P39, DOI 10.1111/j.1600-0609.2007.00873.x
   Milton AH, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14060556
   Mozaffarian D, 2006, NEW ENGL J MED, V354, P1601, DOI 10.1056/NEJMra054035
   Niclasen B, 2013, INT J CIRCUMPOL HEAL, V72, DOI 10.3402/ijch.v72i0.19928
   Nielsen T.F.D., DIAMANTBAERENDE KIMB
   Noahsen P, 2013, ETHNIC DIS, V23, P77
   Odland JO, 2012, INT J HYG ENVIR HEAL, V215, P159, DOI 10.1016/j.ijheh.2011.10.002
   Peña-Rosas JP, 2012, COCHRANE DB SYST REV, DOI [10.1002/14651858.CD004736.pub4, 10.1002/14651858.CD004736.pub5]
   Phung H, 2003, EUR J EPIDEMIOL, V18, P235, DOI 10.1023/A:1023384213536
   Richter P, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14101154
   Rodushkin I, 1999, FRESEN J ANAL CHEM, V364, P338, DOI 10.1007/s002160051346
   RODUSHKIN I, 2001, RRD PURE APPL CHEM, V5, P51
   Röllin HB, 2017, SCI TOTAL ENVIRON, V575, P338, DOI 10.1016/j.scitotenv.2016.10.044
   Rylander C, 2011, GLOBAL HEALTH ACTION, V4, DOI 10.3402/gha.v4i0.8452
   Stadnicka J, 2012, ENVIRON SCI TECHNOL, V46, P3273, DOI 10.1021/es2043728
   Tchounwou Paul., 2012, Nih, V100, P365, DOI [DOI 10.1007/978-3-7643-8338-1, 10.1007/978-3-7643-8338-1]
   Terkelsen AS, 2018, SCAND J PUBLIC HEALT, V46, P252, DOI 10.1177/1403494817714188
   U.S. EPA, 2006, APPR APPL PHYS BAS P
   University of Rochester Medical Center, 2019, NEWB MEAS HLTH ENC
   Uz E, 2003, ACTA OPHTHALMOL SCAN, V81, P161, DOI 10.1034/j.1600-0420.2003.00032.x
   Valera B, 2013, ENVIRON RES, V122, P65, DOI 10.1016/j.envres.2012.12.006
   Vejrup K, 2014, PUBLIC HEALTH NUTR, V17, P2071, DOI 10.1017/S1368980013002619
   Veyhe AS, 2015, INT J HYG ENVIR HEAL, V218, P254, DOI 10.1016/j.ijheh.2014.12.001
   Vrijheid M, 2016, INT J HYG ENVIR HEAL, V219, P331, DOI 10.1016/j.ijheh.2016.05.001
   Walker JB, 2006, ENVIRON RES, V100, P295, DOI 10.1016/j.envres.2005.05.006
   Walker JB, 2003, SCI TOTAL ENVIRON, V302, P27, DOI 10.1016/S0048-9697(02)00319-4
   Watterberg KL, 2015, PEDIATRICS, V136, P819, DOI 10.1542/peds.2015-2651
   Weihe P, 2016, INT J CIRCUMPOL HEAL, V75, DOI 10.3402/ijch.v75.33803
   WHO, Daily Iron and Folic Acid Supplementation during Pregnancy
   WILLETT WC, 1993, LANCET, V341, P581, DOI 10.1016/0140-6736(93)90350-P
   World Health Organization, 2012, WHONMHNHD145
   Zdrojewicz Zygmunt, 2016, Pol Merkur Lekarski, V41, P115
   Zhang Y, 2015, MOL MED REP, V12, P3273, DOI 10.3892/mmr.2015.3878
   Zietz BP, 2008, INT J HYG ENVIR HEAL, V211, P624, DOI 10.1016/j.ijheh.2008.04.001
NR 108
TC 29
Z9 34
U1 2
U2 25
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 APR 1
PY 2019
VL 16
IS 7
AR 1171
DI 10.3390/ijerph16071171
PG 27
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 HU9EF
UT WOS:000465595800084
PM 30939809
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Logan, SA
   Phuekvilai, P
   Sanderson, R
   Wolff, K
AF Logan, Samuel A.
   Phuekvilai, Prattana
   Sanderson, Roy
   Wolff, Kirsten
TI Reproductive and population genetic characteristics of leading-edge and
   central populations of two temperate forest tree species and
   implications for range expansion
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Assisted migration; Climate change; Clonal reproduction; Leading
   range-edge; Microsatellites; Relatedness; Range shifts; Tilia
ID TILIA-CORDATA; GENOTYPIC DIVERSITY; CLIMATE-CHANGE;
   PERIPHERAL-POPULATIONS; ASSISTED COLONIZATION; NATURAL REGENERATION;
   SEXUAL REPRODUCTION; GEOGRAPHICAL RANGE; RE-IMPLEMENTATION;
   COMPUTER-PROGRAM
AB It is still a matter of debate how reproductive and genetic characteristics of range-edge populations differ from those central to its range, yet this is important for future changes in species' ranges. Here we use microsatellite markers to assess the genetic diversity, relatedness and clonal reproduction of two lime tree species, Tilia cordata and T. platyphyllos, from leading range-edge and central locations.
   Clonal reproduction was limited in the populations studied, but leading range-edge populations contained more clones than populations sampled from lower latitudes. Although no inbreeding or lower genetic diversity was detected, leading range-edge populations have a higher average relatedness of individuals and a lower effective population size than those populations closer to the centre of the species' distribution. Trees further apart than 26 m are unlikely to be clones and those further apart than 61 m are not likely to be closely related.
   The implications for forest managers are that although leading range-edge populations have a lower effective population size, they are also likely to be better adapted to northern climes. Because locally sourced trees appear to have sufficient genetic diversity and predominantly result from sexual reproduction they are likely to adapt to climate change and be suited for natural migration and a good source for assisted migration. This is a promising prospect for the potential of future natural or managed expansion and increased species abundance.
C1 [Logan, Samuel A.; Phuekvilai, Prattana; Sanderson, Roy; Wolff, Kirsten] Newcastle Univ, Sch Nat & Environm Sci, Ridley Bldg, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Phuekvilai, Prattana] Silpakorn Univ, Dept Biol, Fac Sci, Nakhon Pathom 73000, Thailand.
C3 Newcastle University - UK; Silpakorn University
RP Wolff, K (corresponding author), Newcastle Univ, Sch Nat & Environm Sci, Ridley Bldg, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
EM Kirsten.wolff@ncl.ac.uk
RI Phuekvilai, Prattana/IYT-4201-2023; Wolff, Kirsten/E-7961-2012
FU RB Cooke Studentship; Thai government; Royal Society of Biology Travel
   Grant
FX Comment from anonymous reviewers are gratefully acknowledged as they
   helped to improve the manuscript tremendously. We are also grateful to
   everyone who contributed to sample collection: Hanne Hegre Grundt, Tor
   Myking, Arthur Leewis, Bruno Fady, Bruno Chopart, Honor Prentice, Leena
   Yrjana, Ole Hansen, Seb Mankelow, Tim Laurie, Jon Tomkinson and Jade
   Lauren Gunnell. Thanks to Heino Konrad for indicating Austrian
   populations and to Milan Chytir for providing Tilia cordata samples from
   Siberia. Thanks to Natural England, the National Trust and the private
   landowners who granted permission for us to collect leaf samples from
   their woodlands and Renata Krzysciak-Kosinska for her assistance in
   gaining permission to collect leaf samples from the Bialowieza National
   Park, Poland. Thanks to Helen Martin for laboratory support and Patrick
   Meirmans for support using GenoDive. This study was funded by a RB Cooke
   Studentship (SL), the Thai government (PP) and a Royal Society of
   Biology Travel Grant (SL collection of Polish samples).
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Aizawa M, 2017, PLANT SPEC BIOL, V32, P323, DOI 10.1111/1442-1984.12165
   [Anonymous], HOLOCENE
   [Anonymous], R FOUND STAT COMPUT
   [Anonymous], THESIS
   [Anonymous], 2014, THESIS
   [Anonymous], THESIS
   Arnaud-Haond S, 2007, MOL ECOL, V16, P5115, DOI 10.1111/j.1365-294X.2007.03535.x
   Arnaud-Haond S, 2006, MOL ECOL, V15, P3515, DOI 10.1111/j.1365-294X.2006.02997.x
   Arnaud-Haond S, 2007, MOL ECOL NOTES, V7, P15, DOI 10.1111/j.1471-8286.2006.01522.x
   Balloux F, 2003, GENETICS, V164, P1635
   Beatty GE, 2008, DIVERS DISTRIB, V14, P546, DOI 10.1111/j.1472-4642.2008.00469.x
   Bobiec A, 2007, POL J ECOL, V55, P441
   Bond WJ, 2001, TRENDS ECOL EVOL, V16, P45, DOI 10.1016/S0169-5347(00)02033-4
   Bottai M, 2010, STAT MED, V29, P309, DOI 10.1002/sim.3781
   Buckley P, 2015, EUROPE'S CHANGING WOODS AND FORESTS FROM WILDWOOD TO MANAGED LANDSCAPES, P77, DOI 10.1079/9781780643373.0077
   Chybicki IJ, 2014, TREE GENET GENOMES, V10, P1739, DOI 10.1007/s11295-014-0793-2
   Cribari-Neto F, 2010, J STAT SOFTW, V34, P1
   de Witte LC, 2010, ANN BOT-LONDON, V106, P859, DOI 10.1093/aob/mcq191
   Do C, 2014, MOL ECOL RESOUR, V14, P209, DOI 10.1111/1755-0998.12157
   Dodd RS, 2013, J HERED, V104, P105, DOI 10.1093/jhered/ess080
   Dorken ME, 2001, J ECOL, V89, P339, DOI 10.1046/j.1365-2745.2001.00558.x
   Duminil J, 2016, HEREDITY, V116, P295, DOI 10.1038/hdy.2015.101
   Eckert CG, 2008, MOL ECOL, V17, P1170, DOI 10.1111/j.1365-294X.2007.03659.x
   ELLSTRAND NC, 1987, AM J BOT, V74, P123, DOI 10.2307/2444338
   Ennos R. A., 2003, Botanical Journal of Scotland, V55, P89
   Essl F, 2015, TRENDS ECOL EVOL, V30, P375, DOI 10.1016/j.tree.2015.05.002
   Evans JP, 2016, AM J BOT, V103, P1687, DOI 10.3732/ajb.1600233
   Ferrari SLP, 2004, J APPL STAT, V31, P799, DOI 10.1080/0266476042000214501
   Fuentes-Utrilla P, 2014, HEREDITY, V113, P21, DOI 10.1038/hdy.2014.21
   Gapare WJ, 2005, MOL ECOL, V14, P2659, DOI 10.1111/j.1365-294X.2005.02633.x
   Gibson SY, 2009, CONSERV BIOL, V23, P1369, DOI 10.1111/j.1523-1739.2009.01375.x
   Halkett F, 2005, TRENDS ECOL EVOL, V20, P194, DOI 10.1016/j.tree.2005.01.001
   Hampe A, 2005, ECOL LETT, V8, P461, DOI 10.1111/j.1461-0248.2005.00739.x
   Hewitt GM, 2004, PHILOS T R SOC B, V359, P183, DOI 10.1098/rstb.2003.1388
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hommel P W., 2007, Terug naar het lindewoud: strooiselkwaliteit als basis voor ecologisch bosbeheer
   James EA, 2014, ANN BOT-LONDON, V114, P413, DOI 10.1093/aob/mcu049
   Jankowska-Wroblewska S, 2016, IFOREST, V9, P892, DOI 10.3832/ifor1885-009
   Jaworski A., 2005, Journal of Forest Science (Prague), V51, P283
   Jost L, 2008, MOL ECOL, V17, P4015, DOI 10.1111/j.1365-294X.2008.03887.x
   Kalinowski ST, 2006, MOL ECOL NOTES, V6, P576, DOI 10.1111/j.1471-8286.2006.01256.x
   Kitamura Keiko, 2003, Plant Species Biology, V18, P13, DOI 10.1046/j.1442-1984.2003.00085.x
   Kreyling J, 2014, ECOL EVOL, V4, P594, DOI 10.1002/ece3.971
   Lian CL, 2004, THEOR APPL GENET, V108, P836, DOI 10.1007/s00122-003-1500-0
   Lobo A, 2018, ECOL EVOL, V8, P5968, DOI 10.1002/ece3.4131
   Lobo A, 2018, ANN FOREST SCI, V75, DOI 10.1007/s13595-018-0740-8
   Logan SA, 2018, PERSPECT PLANT ECOL, V33, P9, DOI 10.1016/j.ppees.2018.04.005
   Logan SA, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0872-z
   Macaya-Sanz D, 2016, MOL ECOL, V25, P5330, DOI 10.1111/mec.13850
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   McLachlan JS, 2005, ECOLOGY, V86, P2088, DOI 10.1890/04-1036
   Meirmans PG, 2004, MOL ECOL NOTES, V4, P792, DOI 10.1111/j.1471-8286.2004.00770.x
   Meloni M, 2013, ECOL EVOL, V3, P1569, DOI 10.1002/ece3.571
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Miscicki S, 2012, FORESTRY, V85, P473, DOI 10.1093/forestry/cps044
   Mock KE, 2008, MOL ECOL, V17, P4827, DOI 10.1111/j.1365-294X.2008.03963.x
   Morgan-Richards M, 1999, MOL ECOL, V8, P1027, DOI 10.1046/j.1365-294x.1999.00665.x
   Morris AB, 2014, AM J BOT, V101, P381, DOI 10.3732/ajb.1300161
   MUYS B, 1992, SOIL BIOL BIOCHEM, V24, P1459, DOI 10.1016/0038-0717(92)90133-I
   Myking T, 2002, BIODIVERS CONSERV, V11, P1681, DOI 10.1023/A:1016814817208
   Nagamitsu T, 2004, PLANT ECOL, V174, P1, DOI 10.1023/B:VEGE.0000046054.87587.8b
   Nei M., 1987, MOL EVOLUTIONARY GEN, DOI DOI 10.7312/NEI-92038-010
   Nomura T, 2008, EVOL APPL, V1, P462, DOI 10.1111/j.1752-4571.2008.00015.x
   Normann C, 2016, J PLANT ECOL, V9, P498, DOI 10.1093/jpe/rtw004
   PARKS JC, 1993, AM J BOT, V80, P537, DOI 10.2307/2445369
   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, 2003, SCIENCE, V300, P1563, DOI 10.1126/science.1083264
   Phuekvilai P, 2013, APPL PLANT SCI, V1, DOI 10.3732/apps.1200386
   PIELOU E C, 1969, P286
   Pigott C. D., 2000, Watsonia, V23, P344
   Pigott C.D., 2012, Lime-Trees and Basswoods: A Biological Monograph of the Genus Tilia
   PIGOTT CD, 1981, ANN BOT FENN, V18, P255
   PIGOTT CD, 1975, PHILOS T ROY SOC B, V270, P151, DOI 10.1098/rstb.1975.0006
   PIGOTT CD, 1978, NEW PHYTOL, V81, P429, DOI 10.1111/j.1469-8137.1978.tb02648.x
   PIGOTT CD, 1981, NEW PHYTOL, V87, P817, DOI 10.1111/j.1469-8137.1981.tb01716.x
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Radoglou K., 2009, BODENKULTUR, V60, P9
   Rasmussen KK, 2008, CONSERV GENET, V9, P1533, DOI 10.1007/s10592-007-9492-y
   RAYMOND M, 1995, J HERED, V86, P248, DOI 10.1093/oxfordjournals.jhered.a111573
   Rehm EM, 2015, ECOL EVOL, V5, P4315, DOI 10.1002/ece3.1645
   Rousset F, 2008, MOL ECOL RESOUR, V8, P103, DOI 10.1111/j.1471-8286.2007.01931.x
   Santos-del-Blanco L, 2013, TREE GENET GENOMES, V9, P499, DOI 10.1007/s11295-012-0574-8
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   Siefert A, 2015, GLOBAL ECOL BIOGEOGR, V24, P581, DOI 10.1111/geb.12287
   Silvertown J, 2008, INT J PLANT SCI, V169, P157, DOI 10.1086/523357
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Sjölund MJ, 2015, FOREST ECOL MANAG, V336, P65, DOI 10.1016/j.foreco.2014.10.015
   Stoeckel S, 2006, MOL ECOL, V15, P2109, DOI 10.1111/j.1365-294X.2006.02926.x
   Thomas E, 2014, FOREST ECOL MANAG, V333, P66, DOI 10.1016/j.foreco.2014.07.015
   Van Oosterhout C, 2004, MOL ECOL NOTES, V4, P535, DOI 10.1111/j.1471-8286.2004.00684.x
   Vaughan SP, 2007, FOREST ECOL MANAG, V242, P419, DOI 10.1016/j.foreco.2007.01.059
   Vranckx G, 2014, ANN BOT-LONDON, V113, P1057, DOI 10.1093/aob/mcu025
   Vucetich JA, 2003, CONSERV GENET, V4, P639, DOI 10.1023/A:1025671831349
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Waples RS, 2008, MOL ECOL RESOUR, V8, P753, DOI 10.1111/j.1755-0998.2007.02061.x
   Waples RS, 2006, CONSERV GENET, V7, P167, DOI 10.1007/s10592-005-9100-y
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Whittet R, 2017, FORESTRY, V90, P163, DOI 10.1093/forestry/cpw037
   WIDEN B, 1994, FOLIA GEOBOT PHYTOTX, V29, P245, DOI 10.1007/BF02803799
   Wilmking M, 2017, DENDROCHRONOLOGIA, V44, P187, DOI 10.1016/j.dendro.2017.05.005
   Winder R, 2011, FOREST CHRON, V87, P731, DOI 10.5558/tfc2011-090
NR 103
TC 10
Z9 11
U1 3
U2 50
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD FEB 15
PY 2019
VL 433
BP 475
EP 486
DI 10.1016/j.foreco.2018.11.024
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA HJ1DQ
UT WOS:000456902500048
DA 2025-01-10
ER

PT J
AU Porter, JJ
   Dessai, S
AF Porter, James J.
   Dessai, Suraje
TI Mini-me: Why do climate scientists' misunderstand users and their needs?
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Adaptation; Climate change; Scientists; Users; Perceptions; Information;
   Projections; UKCP09; Decision-making
ID DECISION-MAKING; PROJECTIONS 2009; SCIENCE; KNOWLEDGE; POLICY; UK;
   ADAPTATION; FORECASTS; MODELS; COPRODUCTION
AB Increasingly climate scientists and the users of climate information are being asked to deliberately co-produce knowledge to improve decision-making about adaptation to climate change. To do this, scientists not only need to be committed and willing to interact with users but also have the capacity to listen, understand, and respond to their needs. Yet little is known about how climate scientists perceive users and respond to their needs when deliberately co-producing knowledge. Using the case study of the UK Climate Projections 2009 (UKCP09) we seek to address this gap. Drawing on interviews with climate scientists, boundary workers, and government officials involved in UKCP09, we investigate how perceptions of users and their needs are constructed as well as the difficulties in responding to them. Our research shows that climate scientists struggle to respond to users other than a small cadre of actors like themselves highly technical and highly numerate - mini-mes; as what constitutes 'credible, usable, and relevant' science is different for users and scientists. Others involved in UKCP09 considered a broader set of users, with more heterogeneous capacities, as the target audience. We find that the climate scientists' narrow perceptions of users were strongly influenced by (i) their past experiences; (ii) the level and type of scientist-user interactions; and (iii) the institutional setting in which the science took place. This research suggests that climate scientists need broader social support from other experts as well as institutional goals geared towards a broader set of users if they are to successfully co-produce climate knowledge.
C1 [Porter, James J.] Univ Sheffield, Sch Management, Inst Work Psychol, Sheffield S7 1AF, S Yorkshire, England.
   [Dessai, Suraje] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS1 9JT, W Yorkshire, England.
C3 University of Sheffield; University of Leeds
RP Porter, JJ (corresponding author), Univ Sheffield, Sch Management, Inst Work Psychol, Sheffield S7 1AF, S Yorkshire, England.
EM james.porter@sheffield.ac.uk
RI Dessai, Suraje/D-4219-2009
OI Porter, James/0000-0002-5442-5544
FU European Research Council (ERC) under the European Union's Seventh
   Framework Programme for Research, ERC [284369]; UK Economic and Social
   Research Council (ESRC) from the Centre for Climate Change Economics and
   Policy (CCCEP); ESRC [ES/K006576/1] Funding Source: UKRI
FX This research was supported by the European Research Council (ERC) under
   the European Union's Seventh Framework Programme for Research
   (FP7/2007-2013), ERC Grant agreement 284369. Suraje Dessai also
   acknowledges the support of the UK Economic and Social Research Council
   (ESRC) from the Centre for Climate Change Economics and Policy (CCCEP).
   We are grateful to Meaghan Daly, Andrea Taylor and Maurice Skelton for
   comments on an earlier draft and to everyone who participated in this
   study.
CR Agrawala S, 2001, SCI TECHNOL HUM VAL, V26, P454, DOI 10.1177/016224390102600404
   Akrich Madeleine, 1992, Shaping Technology, Building Society: Studies in Sociotechnical Change
   [Anonymous], 1999, Cultural Boundaries of Science
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Brugger J, 2016, B AM METEOROL SOC, V97, DOI 10.1175/BAMS-D-14-00289.1
   Castree N, 2014, NAT CLIM CHANGE, V4, P763, DOI 10.1038/NCLIMATE2339
   Chilvers J, 2016, REMAKING PARTICIPATION: SCIENCE, ENVIRONMENT AND EMERGENT PUBLICS, P1
   Crang M, 2003, PROG HUM GEOG, V27, P494, DOI 10.1191/0309132503ph445pr
   Dawes RM, 1996, ORGAN BEHAV HUM DEC, V65, P201, DOI 10.1006/obhd.1996.0020
   de Bruin WB, 2013, P NATL ACAD SCI USA, V110, P14062, DOI 10.1073/pnas.1212729110
   Department for Environment Food and Rural Affairs and Department of Energy and Climate Change, 2015, POL PAP 2010 2015 GO
   Department for the Environment Food and Rural Affairs, 2007, 61237 PECD DEP ENV F
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dunn, 2005, Qualitative Research Methods in Human Geography, P79
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Frigg R, 2015, SYNTHESE, V192, P3979, DOI 10.1007/s11229-015-0739-8
   Gawith M, 2009, GLOBAL ENVIRON CHANG, V19, P113, DOI 10.1016/j.gloenvcha.2008.09.005
   Glaser BG., 1999, The Discovery of Grounded Theory: Strategies for Qualitative Research
   Heaphy LJ, 2015, EUR J PHILOS SCI, V5, P233, DOI 10.1007/s13194-015-0114-0
   Hulme M, 2008, ENVIRON SCI POLICY, V11, P54, DOI 10.1016/j.envsci.2007.09.003
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Jasanoff S, 2003, MINERVA, V41, P223, DOI 10.1023/A:1025557512320
   Jenkins G., 2009, UK CLIMATE PROJECTIO
   Jude SR, 2017, SCI TOTAL ENVIRON, V574, P858, DOI 10.1016/j.scitotenv.2016.09.104
   Kelly NMS, 2014, AREA, V46, P111, DOI 10.1111/area.12067
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Klenk N, 2015, ENVIRON SCI POLICY, V54, P160, DOI 10.1016/j.envsci.2015.05.017
   Lahsen M, 2005, SOC STUD SCI, V35, P895, DOI 10.1177/0306312705053049
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lemos MC, 2010, WIRES CLIM CHANGE, V1, P670, DOI 10.1002/wcc.71
   Lowrey JL, 2009, CLIM RES, V40, P103, DOI 10.3354/cr00827
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Met Office, 2016, CLIM SERV
   Meyer M, 2010, SCI COMMUN, V32, P118, DOI 10.1177/1075547009359797
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   Nickerson RS, 1999, PSYCHOL BULL, V125, P737, DOI 10.1037/0033-2909.125.6.737
   Nielsen JO, 2014, GLOBAL ENVIRON CHANG, V24, P402, DOI 10.1016/j.gloenvcha.2013.10.006
   Oudshoorn N, 2007, HANDBOOK OF SCIENCE AND TECHNOLOGY STUDIES, THIRD EDITION, P541
   Parker WS, 2013, WIRES CLIM CHANGE, V4, P213, DOI 10.1002/wcc.220
   Porter J. J., 2016, COPRODUCING UK CLIMA
   Porter J, 2012, ENVIRON PLANN A, V44, P2359, DOI 10.1068/a44660
   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
   Sarewitz D, 2007, ENVIRON SCI POLICY, V10, P5, DOI 10.1016/j.envsci.2006.10.001
   Shackley S, 2001, POLIT SCI ENVIRONM, P107
   Shackley S, 1999, CLIMATIC CHANGE, V43, P413, DOI 10.1023/A:1005474102591
   Shanley P, 2009, BIOTROPICA, V41, P535, DOI 10.1111/j.1744-7429.2009.00561.x
   Skelton M., 2017, COMP SOCIAL SCI VALU
   Sofoulis Z, 2011, CONTINUUM-J MEDIA CU, V25, P795, DOI 10.1080/10304312.2011.617874
   Steynor Anna., 2012, Engaging Users in the Development and Delivery of Climate Projections: The UKCIP Experience of UKCP09
   Stirling A, 2010, NATURE, V468, P1029, DOI 10.1038/4681029a
   Street RB, 2009, WEATHER, V64, P227, DOI 10.1002/wea.487
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Wyatt S, 2007, HANDBOOK OF SCIENCE AND TECHNOLOGY STUDIES, THIRD EDITION, P165
NR 54
TC 91
Z9 95
U1 2
U2 20
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD NOV
PY 2017
VL 77
BP 9
EP 14
DI 10.1016/j.envsci.2017.07.004
PG 6
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FK1ZJ
UT WOS:000413281800002
OA Green Published, hybrid
DA 2025-01-10
ER

PT S
AU Kotronakis, M
   Giannakis, GV
   Nikolaidis, NP
   Rowe, EC
   Valstar, J
   Paranychianakis, NV
   Banwart, SA
AF Kotronakis, M.
   Giannakis, G. V.
   Nikolaidis, N. P.
   Rowe, E. C.
   Valstar, J.
   Paranychianakis, N. V.
   Banwart, S. A.
BE Banwart, SA
   Sparks, DL
TI Modeling the Impact of Carbon Amendments on Soil Ecosystem Functions
   Using the 1D-ICZ Model
SO QUANTIFYING AND MANAGING SOIL FUNCTIONS IN EARTH'S CRITICAL ZONE
   COMBINING EXPERIMENTATION AND MATHEMATICAL MODELLING
SE Advances in Agronomy
LA English
DT Review; Book Chapter
ID LAND-USE; AGRICULTURE
AB In the next four decades, humanity needs to double food and energy production and increase the supply of clean water by over 50% while mitigating and adapting to climate change. A central element in the strategy of addressing these major environmental challenges is to maintain the central role of Earth's essential soil functions and related ecosystem services. Many soil functions are affected by soil structure in terms of particle aggregation and porosity. The objective of this work is to model soil structure and biomass dynamics, nutrients uptake, and yields using the 1D Integrated Critical Zone (1D-ICZ) model which is a mechanistic mathematical description of soil processes and functions. The 1D-ICZ model simulates the coupled processes that underpin major soil functions including water flow and storage, biomass production, carbon and nutrient sequestration, pollutant transformation, and supporting biological processes, and thus is capable of quantifying essential soil ecosystem services. The model was validated using data derived from a field experiment where tomato plants were grown using different treatments of commercial mineral fertilizers, compost, manure, and a 30% manure-70% compost amendment. Detailed data have been collected over four growing seasons on soil and soil solution chemistry, aggregate formation, and plant production. The model has been able to capture the biomass production, the temporal dynamics of the water-stable aggregate formation and the dynamics of carbon and nutrient sequestration in the different sizes aggregates as well as the variability of water filtration and transformation efficiency in the different amendment treatments. The model results demonstrate the value of applying computational simulation tools such as the 1D-ICZ model to test options for improved land management measures and to support sustainable land care practices.
C1 [Kotronakis, M.; Giannakis, G. V.] Tech Univ Crete, Sch Environm Engn, Khania, Greece.
   [Nikolaidis, N. P.; Paranychianakis, N. V.] Tech Univ Crete, Sch Environm Engn, Univ Campus, Khania, Greece.
   [Rowe, E. C.] Ctr Ecol & Hydrol, ECW, Bangor, Gwynedd, Wales.
   [Valstar, J.] Deltares Subsurface & Groundwater Syst, Utrecht, Netherlands.
   [Banwart, S. A.] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.
C3 Technical University of Crete; UK Centre for Ecology & Hydrology
   (UKCEH); Deltares; University of Leeds
RP Nikolaidis, NP (corresponding author), Tech Univ Crete, Sch Environm Engn, Univ Campus, Khania, Greece.
EM nikolaos.nikolaidis@enveng.tuc.gr
RI NIKOLAIDIS, NIKOLAOS/B-9938-2008; Paranychianakis,
   Nikolaos/HFZ-9848-2022; Rowe, Ed/A-7641-2011; Banwart,
   Steven/B-3915-2016
OI Rowe, Ed/0000-0003-4784-7236; Banwart, Steven/0000-0001-7223-6678;
   Giannakis, Georgios/0000-0002-0196-0260; Nikolaidis,
   Nikolaos/0000-0002-6223-7519; Giannakis, Georgios V./0000-0001-8546-1903
CR Amundson R, 2003, ECOSYSTEMS, V6, P470, DOI 10.1007/s10021-002-0160-2
   Amundson R, 2015, SCIENCE, V348, DOI 10.1126/science.1261071
   BLACKBURN WJ, 1983, SOL ENERGY, V31, P233, DOI 10.1016/0038-092X(83)90087-7
   Bremner JM., 1982, Methods of Soil Analysis: Part 2 Chemical and Microbiological Properties, V9, P595, DOI [10.2134/agronmonogr9.2.2ed.c31, DOI 10.2134/AGRONMONOGR9.2.2ED.C31]
   CARSEL RF, 1988, WATER RESOUR RES, V24, P755, DOI 10.1029/WR024i005p00755
   Chapin F.S., 2012, Principles of terrestrial ecosystem ecology, V2nd
   CHUNG SO, 1987, WATER RESOUR RES, V23, P2175, DOI 10.1029/WR023i012p02175
   ELLIOTT ET, 1986, SOIL SCI SOC AM J, V50, P627, DOI 10.2136/sssaj1986.03615995005000030017x
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485
   Hargreaves JC, 2008, AGR ECOSYST ENVIRON, V123, P1, DOI 10.1016/j.agee.2007.07.004
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Lal R, 2006, LAND DEGRAD DEV, V17, P197, DOI 10.1002/ldr.696
   Luo ZK, 2010, GEODERMA, V155, P211, DOI 10.1016/j.geoderma.2009.12.012
   Martin D, 2010, AGR ECOSYST ENVIRON, V138, P64, DOI 10.1016/j.agee.2010.04.001
   Maynard D.G., 2006, SOIL SAMPLING METHOD
   Milne E, 2015, ENVIRON DEV, V13, P33, DOI 10.1016/j.envdev.2014.11.005
   Olsen SR., 1954, USDA Circular No. 939
   Rabbinge R., 1989, SIMULATION MONOGRAPH, V32, P420
   Regelink IC, 2015, GEODERMA, V247, P24, DOI 10.1016/j.geoderma.2015.01.022
   Scotti R, 2015, J SOIL SCI PLANT NUT, V15, P333
   Simunek J, 2009, HYDRUS 1D SOFTWARE P
   Stamati FE, 2013, GEODERMA, V211, P51, DOI 10.1016/j.geoderma.2013.06.014
   Stamati FE, 2013, AGR ECOSYST ENVIRON, V165, P190, DOI 10.1016/j.agee.2012.11.010
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Victoria R., 2012, UNEP YB 2012 EMERGIN, P80
   Wallman P, 2005, FOREST ECOL MANAG, V207, P19, DOI 10.1016/j.foreco.2004.10.016
NR 27
TC 11
Z9 11
U1 1
U2 23
PU ELSEVIER ACADEMIC PRESS INC
PI SAN DIEGO
PA 525 B STREET, SUITE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0065-2113
EI 2213-6789
BN 978-0-12-812222-8
J9 ADV AGRON
JI Adv. Agron.
PY 2017
VL 142
BP 315
EP 352
DI 10.1016/bs.agron.2016.10.010
PG 38
WC Agronomy
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA BJ7SA
UT WOS:000427634300012
DA 2025-01-10
ER

PT J
AU Balama, C
   Augustino, S
   Eriksen, S
   Makonda, FBS
AF Balama, Chelestino
   Augustino, Suzana
   Eriksen, Siri
   Makonda, Fortunatus B. S.
TI Forest adjacent households' voices on their perceptions and adaptation
   strategies to climate change in Kilombero District, Tanzania
SO SPRINGERPLUS
LA English
DT Article
DE Climate change; Perceptions; Forest adjacent households; Coping and
   adaptation strategies; Non-timber forest products; Tanzania
ID VULNERABILITY; POVERTY; CONSERVATION; MANAGEMENT; MOUNTAINS
AB Climate change is a global and local challenge to both sustainable livelihoods and economic development. Tanzania as other countries of the world has been affected. Several studies have been conducted on farmers' perceptions and adaptation to climate change in the country, but little attention has been devoted to forest adjacent households in humid areas. This study assessed this gap through assessing forest adjacent households' voices on perceptions and adaptation strategies to climate change in Kilombero District, Tanzania. Data collection involved key informant interviews, focus group discussions and household questionnaires. Results showed that the majority of households perceived changed climate in terms of temperature increase, unpredictable rainfall, frequent occurrence of floods, increased dry spells during rainy season coupled with decreased water sources and emergence of new pests and diseases. The perceived change in climate has impacted agriculture productivity as the main livelihood source. Different coping and adaptation strategies are employed. These are; crop diversification, changing cropping calendar, adopting modern farming technologies, and increasing reliance on non-timber forest products. These strategies were positively and significantly influenced by socio-economic factors including household size, residence period, land ownership and household income. The study concludes that, there are changes in climatic conditions; and to respond to these climatic changes, forest adjacent households have developed numerous coping and adaptation strategies, which were positively and significantly influenced by some socio-economic factors. The study calls for actual implementation of local climate change policies and strategies in order to enhance adaptive capacity at household level.
C1 [Balama, Chelestino; Augustino, Suzana; Makonda, Fortunatus B. S.] Sokoine Univ Agr, Dept Wood Utilizat, POB 3014, Morogoro, Tanzania.
   [Eriksen, Siri] Norwegian Univ Life Sci, Dept Environm & Dev Studies, Noragric, POB 5003, N-1432 As, Norway.
   [Balama, Chelestino] Tanzania Forestry Res Inst, POB 1854, Morogoro, Tanzania.
C3 Sokoine University of Agriculture; Norwegian University of Life Sciences
RP Balama, C (corresponding author), Sokoine Univ Agr, Dept Wood Utilizat, POB 3014, Morogoro, Tanzania.; Balama, C (corresponding author), Tanzania Forestry Res Inst, POB 1854, Morogoro, Tanzania.
EM balamapc@gmail.com
FU Climate Change Impacts Adaptation and Mitigation (CCIAM) Programme
   Tanzania
FX The authors thank the Climate Change Impacts Adaptation and Mitigation
   (CCIAM) Programme Tanzania for financial support. The authors are also
   grateful for the high level of cooperation and valuable contribution
   received from the forest adjacent households' and Kilombero District
   authorities.
CR ADESINA AA, 1995, AGR ECON, V13, P1, DOI 10.1016/0169-5150(95)01142-8
   Ahmed SA, 2011, GLOBAL ENVIRON CHANG, V21, P46, DOI 10.1016/j.gloenvcha.2010.10.003
   Akponikpe P.I., 2010, 2 INT C CLIM SUST DE
   Allarangaye MD, 2006, J PLANT PATHOL, V88, P309
   [Anonymous], 2013, 2012 POP HOUS CENS P
   [Anonymous], 2012, National Climate Change Strategy
   [Anonymous], 2006, INCORPORATING LIVELI
   Augustino S., 2014, Journal of Medicinal Plants Research, V8, P599
   Augustino S, 2012, P 1 CLIM CHANG IMP A, P118
   Aymone G., 2009, IFPRI DISCUSSION PAP
   Bakengesa S, 2011, CLIM CHANG MANAG, P33, DOI 10.1007/978-3-642-22315-0_3
   Barribeau P, 2015, SURVEY RES
   Chamwali A, 2000, SURVIVAL ACCUMULATIO
   Daberkow S. G., 2003, Precision Agriculture, V4, P163, DOI 10.1023/A:1024557205871
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dolisca F, 2006, FOREST ECOL MANAG, V236, P324, DOI 10.1016/j.foreco.2006.09.017
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Erlanger TE, 2004, MED VET ENTOMOL, V18, P153, DOI 10.1111/j.0269-283X.2004.00491.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Giliba Richard A., 2010, Journal of Human Ecology, V31, P73
   Greene W., 2008, Econometric analysis
   Hetzel MW, 2008, MALARIA J, V7, DOI 10.1186/1475-2875-7-7
   Kangalawe R.Y. M., 2013, NATURAL RESOURCES, V04, P266, DOI DOI 10.4236/NR.2013.43034
   Kato F., 2007, African Study Monographs, Supplement, V36, P3, DOI DOI 10.14989/68498
   Kayombo EJ, 2013, ANTHROPOLOGY, V1, P1, DOI DOI 10.4172/2332-0915.1000108
   Khandlhela M, 2006, NAT HAZARDS, V39, P275, DOI 10.1007/s11069-006-0028-4
   Kihupi ML, 2015, J ENV EARTH SCI, V5, P2224
   Kitula RA, 2007, J ETHNOBIOL ETHNOMED, V3, DOI 10.1186/1746-4269-3-7
   Laswai FF, 2011, THESIS
   Lema M. A., 2009, African Journal of Environmental Science and Technology, V3, P206
   Lovett JC., 1993, Assessment of the condition of the Catchment Forest Reserves, a botanical appraisal
   LUTZ E, 1994, WORLD BANK RES OBSER, V9, P273, DOI 10.1093/wbro/9.2.273
   Lyimo JG., 2010, ENV EC, V1, P88
   Maddison D., 2006, 10 CEEPA U PRET
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Michel Z, 2008, SCI RES ESSAYS, V3, P416
   Mombo F., 2011, J AGR EXT RURAL DEV, V3, P153
   Mongi H., 2010, African Journal of Environmental Science and Technology, V4, P371
   Moser SC, 2010, APPL GEOGR, V30, P464, DOI 10.1016/j.apgeog.2009.09.003
   Msalilwa U., 2013, Ethiopian Journal of Environmental Studies and Management, V6, P507
   Msuya TS, 2010, ECOL FOOD NUTR, V49, P208, DOI 10.1080/03670241003766048
   Naess LO, 2008, THESIS
   Nahashon M, 2013, THESIS
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   Nhemachena C., 2008, 00714 IFPRI, P714, DOI 10.1017/S1742170512000257.
   Nindi S, 2012, CLIMATE CHANGE SUSTA, P153
   Njana M. A., 2013, Forests, Trees and Livelihoods, V22, P124, DOI 10.1080/14728028.2013.803774
   Nkem J, 2010, ENVIRON SCI POLICY, V13, P498, DOI 10.1016/j.envsci.2010.06.004
   Otieno J. N., 2011, International Journal of Biodiversity and Conservation, V3, P610
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Regmi B, 2010, PARTICIPATORY TOOLS
   Reuveny R, 2007, POLIT GEOGR, V26, P656, DOI 10.1016/j.polgeo.2007.05.001
   Sanga GodyJonathan., 2013, Social Science in China, V2, P169
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Shemsanga Ceven, 2010, J AM SCI, V6, P182
   Shultz S., 1997, Agroforestry Today, V9, P16
   Sileshi GW, 2009, ECOL SOC, V14
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   Starkey M., 2002, KILOMBERO VALLEY WIL
   Swai O.W., 2012, Journal of African Studies and Development, V4, P218, DOI [DOI 10.5897/JASD12.038, 10.5897/JASD12.038]
   Tazeze A., 2012, Journal of Economics and Sustainable Development, V3, P1
   Thomson A., 1998, Implications of Economic Policy for Food Security: A Training Manual
   Traerup SLM, 2010, BC3 WORKING PAPER SE
   United Republic of Tanzania (URT), 2007, NAT AD PROGR ACT NAP
   Urama K., 2011, Agro-Science, V10, P1
   URT, 2013, TANZ FIG 2012
   URT, 2008, RES REPORT
   Van den Ban A. W., 2000, AGR EXTENSION
   Wu JJ, 1998, AM J AGR ECON, V80, P494, DOI 10.2307/1244552
NR 71
TC 12
Z9 13
U1 0
U2 46
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2193-1801
J9 SPRINGERPLUS
JI SpringerPlus
PD JUN 21
PY 2016
VL 5
AR 792
DI 10.1186/s40064-016-2484-y
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA DP4OE
UT WOS:000378474400006
PM 27390633
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ren, WX
   Xue, B
   Geng, Y
   Lu, CP
   Zhang, YS
   Zhang, LM
   Fujita, T
   Hao, H
AF Ren, Wanxia
   Xue, Bing
   Geng, Yong
   Lu, Chengpeng
   Zhang, Yunsong
   Zhang, Liming
   Fujita, Tsuyoshi
   Hao, Han
TI Inter-city passenger transport in larger urban agglomeration area:
   emissions and health impacts
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Vehicle emission; Climate change; Air pollution; Ancillary effects;
   Urban agglomeration area
ID GREENHOUSE-GAS EMISSIONS; AIR-POLLUTION; POLLUTANTS EMISSIONS; VEHICULAR
   EMISSIONS; ELECTRIC VEHICLES; CLIMATE-CHANGE; CO-BENEFITS; CHINA;
   TRENDS; MORTALITY
AB Emissions from road transport have significant impacts on climate change and air quality. However, few studies focused on long-term emission changes, long-range passenger transport of air pollutants, especially, neglecting how those cities with larger urban agglomeration area interact with each other. This article fills the gap to evaluate interacting emissions from inter-city passenger transport and related PM2.5 health impacts, also to assess possible development in passenger transport sector in long-term post fossil period. Shenyang Metropolitan Area is chosen as a case in which include eight neighboring cities, covering 23.6 million inhabitants. Results show that total air pollutants and greenhouse gases (GHGs) emissions from urban agglomeration area passenger transport reached 265 kt and 17 kt in 2012, respectively, and may result in about 170 deaths per year. Importantly, the interacting emissions are closely related with the local economic development of destination city, meaning that interactions between each city in an urban agglomeration area are mostly based on economic cooperation. In order to mitigate and adapt to such emissions, different scenarios were set up for policy making and implementing. Comparing with business-as-usual scenario, optimal scenarios with the promotion of hybrid vehicles, plug-in electric vehicles and ethanol vehicles can lead to less air pollutants and GHGs. Finally, appropriate policies for supporting the application of the optimal scenario were raised and discussed so that policy-makers can seek an innovative pathway to both mitigate and adapt to climate change and improve air quality in transport sector of an urban agglomeration area. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Ren, Wanxia; Xue, Bing; Geng, Yong; Lu, Chengpeng; Zhang, Liming] Chinese Acad Sci, Inst Appl Ecol, Key Lab Pollut Ecol & Environm Engn, Shenyang 110016, Peoples R China.
   [Geng, Yong] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, Shanghai 200240, Peoples R China.
   [Zhang, Yunsong] Dalian Univ Technol, Fac Econ & Management, Dalian 116023, Peoples R China.
   [Zhang, Liming] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Fujita, Tsuyoshi] Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
   [Hao, Han] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China.
C3 Chinese Academy of Sciences; Shenyang Institute of Applied Ecology, CAS;
   Shanghai Jiao Tong University; Dalian University of Technology; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS;
   National Institute for Environmental Studies - Japan; Tsinghua
   University
RP Ren, WX (corresponding author), Chinese Acad Sci, Inst Appl Ecol, Key Lab Pollut Ecol & Environm Engn, Shenyang 110016, Peoples R China.; Geng, Y (corresponding author), 800 Onchun Rd, Shanghai 200240, Peoples R China.
EM renwanxia@iae.ac.cn; ygeng@sjtu.edu.cn
RI Zhang, Zhentao/JQV-7389-2023; Hao, Han/M-8363-2019; Xue,
   Bing/D-1830-2009; Geng, Yong/B-6310-2018
OI Fujita, Tsuyoshi/0000-0003-0204-0332; Hao, Han/0000-0001-7542-4746;
   Geng, Yong/0000-0002-2284-1375
FU National Natural Science Foundation of China [71303230, 41101126,
   71461137008, 71325006, 71311140172]; International Cooperation Project
   "Urban Co-benefits Research"; MOST-International cooperation project
   [2011DFA91810]; China Postdoctoral Science Foundation [2014M551142]
FX The authors would like to thank the National Natural Science Foundation
   of China (71303230, 41101126, 71461137008, 71325006, and 71311140172),
   and International Cooperation Project "Urban Co-benefits Research" for
   financially supporting this project. This work was also sponsored by
   MOST-International cooperation project (2011DFA91810) and China
   Postdoctoral Science Foundation (2014M551142).
CR Aunan K, 2004, SCI TOTAL ENVIRON, V329, P3, DOI 10.1016/j.scitotenv.2004.03.008
   Bennett DH, 2002, ENVIRON SCI TECHNOL, V36, p206A, DOI 10.1021/es0222770
   Cai H, 2007, ATMOS ENVIRON, V41, P8963, DOI 10.1016/j.atmosenv.2007.08.019
   Cai Hao, 2010, Acta Scientiarum Naturalium Universitatis Pekinensis, V46, P319
   [陈胜震 Chen Shengzhen], 2008, [汽车工程, Automotive Engineering], V30, P465
   Chen Y., 2010, J TRANSPORT SYST ENG, V11, P176
   Davis S.C., 2007, TRANSPORTATION ENERG
   DOCKERY DW, 1993, NEW ENGL J MED, V329, P1753, DOI 10.1056/NEJM199312093292401
   Geng Y, 2013, J CLEAN PROD, V58, P82, DOI 10.1016/j.jclepro.2013.06.034
   Guo B, 2014, ENERG POLICY, V74, P134, DOI 10.1016/j.enpol.2014.08.005
   Hao H, 2014, ENERGY, V68, P783, DOI 10.1016/j.energy.2014.01.008
   Hao J., 2006, SCI CHINA SER D, V35, P115
   Hochadel M, 2006, ATMOS ENVIRON, V40, P542, DOI 10.1016/j.atmosenv.2005.09.067
   Hoek G, 2002, LANCET, V360, P1203, DOI 10.1016/S0140-6736(02)11280-3
   Jacob DJ, 2009, ATMOS ENVIRON, V43, P51, DOI 10.1016/j.atmosenv.2008.09.051
   Ji SG, 2012, ENVIRON SCI TECHNOL, V46, P2018, DOI 10.1021/es202347q
   Kahn RibeiroS., 2007, CLIMATE CHANGE 2007
   Kampa M, 2008, ENVIRON POLLUT, V151, P362, DOI 10.1016/j.envpol.2007.06.012
   Künzli N, 2000, LANCET, V356, P795, DOI 10.1016/S0140-6736(00)02653-2
   Lang JL, 2012, ATMOS ENVIRON, V62, P605, DOI 10.1016/j.atmosenv.2012.09.006
   Menon S, 2002, SCIENCE, V297, P2250, DOI 10.1126/science.1075159
   MEP (Ministry of Environmental Protection), 2013, ANN REP CHIN MOT VEH
   Millman A, 2008, PEDIATRICS, V122, P620, DOI 10.1542/peds.2007-3143
   Ministry of Environmental Protection of the People's Republic of China, 2013, CHIN MOT VEH POLL PR
   Muller NZ, 2007, J ENVIRON ECON MANAG, V54, P1, DOI 10.1016/j.jeem.2006.12.002
   POPE CA, 1995, AM J RESP CRIT CARE, V151, P669, DOI 10.1164/ajrccm/151.3_Pt_1.669
   Pope CA, 2002, JAMA-J AM MED ASSOC, V287, P1132, DOI 10.1001/jama.287.9.1132
   Ramanathan V., 2000, ATMOS ENVIRON, V43, P37
   Shindell D, 2011, NAT CLIM CHANGE, V1, P59, DOI [10.1038/NCLIMATE1066, 10.1038/nclimate1066]
   Takeshita T, 2012, APPL ENERG, V97, P225, DOI 10.1016/j.apenergy.2011.12.029
   Thomas CES, 2009, INT J HYDROGEN ENERG, V34, P9279, DOI 10.1016/j.ijhydene.2009.09.058
   Thurston GD, 2013, NAT CLIM CHANGE, V3, P863, DOI 10.1038/nclimate2013
   Uherek E, 2010, ATMOS ENVIRON, V44, P4772, DOI 10.1016/j.atmosenv.2010.01.002
   Velickovic MS, 2014, THERM SCI, V18, P307, DOI 10.2298/TSCI120808037V
   Waller MG, 2014, APPL ENERG, V127, P55, DOI 10.1016/j.apenergy.2014.03.088
   Wang HK, 2010, ENVIRON POLLUT, V158, P394, DOI 10.1016/j.envpol.2009.09.002
   Wang J. F., 2013, AUTO ENG, V7, P645
   West JJ, 2013, NAT CLIM CHANGE, V3, P885, DOI [10.1038/NCLIMATE2009, 10.1038/nclimate2009]
   Woodcock J, 2009, LANCET, V374, P1930, DOI 10.1016/S0140-6736(09)61714-1
   Yang GH, 2013, LANCET, V381, P1987, DOI 10.1016/S0140-6736(13)61097-1
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
   Yuan ZB, 2013, ATMOS ENVIRON, V76, P21, DOI 10.1016/j.atmosenv.2012.09.026
   Zhang SJ, 2014, ATMOS ENVIRON, V89, P216, DOI 10.1016/j.atmosenv.2013.12.002
   Zheng J, 2012, TRANSPORT POLICY, V19, P17, DOI 10.1016/j.tranpol.2011.07.006
NR 44
TC 33
Z9 35
U1 0
U2 47
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD FEB 15
PY 2016
VL 114
BP 412
EP 419
DI 10.1016/j.jclepro.2015.03.102
PG 8
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA DX8GP
UT WOS:000384626400038
DA 2025-01-10
ER

PT S
AU Nikolova, M
AF Nikolova, Mariyana
BE Filho, WL
   Musa, H
   Cavan, G
   OHare, P
   Seixas, J
TI Adaptation of the Bulgarian Water Sector to Climate Change Extremes
SO CLIMATE CHANGE ADAPTATION, RESILIENCE AND HAZARDS
SE Climate Change Management
LA English
DT Article; Book Chapter
DE Climate change; Water; Vulnerability index; Adaptation policy
AB Extreme weather events and the resulting hydro-climatic disasters have increased in frequency and intensity in recent decades, confirming trends outlined in the Fourth and Fifth IPCC reports on the increased susceptibility of Southeast Europe to drought, extreme temperatures, heat waves, and floods. Currently, climate change in the region is most apparent in the frequency and intensity of climate extremes, specifically in temperature and precipitation. These changes may significantly affect the water sector in Bulgaria by the end of this century.
   The long-term strategic objective of the water sector in Bulgaria is to ensure sustainable use of water resources and to secure the future needs for water of the population, economy and aquatic ecosystems. The water sector operates in three main business areas: plumbing (supply, drainage and sanitation), irrigation (irrigation, drainage and protection from the harmful effects of water) and hydropower systems and equipment (dams and hydropower facilities). The operation of each one of these systems depends on the availability, quantity, and quality of water.
   This paper analyzes the impact and sensitivity of the Bulgarian water sector to climate change and assesses the sector's vulnerability index.
   The results show that the water sector in Bulgaria is characterised by higher sensitivity and vulnerability toward changes in water quantity and quality and to climate-related extremes such as drought and floods. The Climate Change Vulnerability Index describes the sector as moderately vulnerable to climate change over the 2016-2035 time horizon. Some adaptation measures are proposed in respect of these results. The need of better integration between Water Framework Directive, Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) and EU Strategy for adaptation to climate change (2013) are discussed.
C1 [Nikolova, Mariyana] Bulgarian Acad Sci, Dept Geog, Natl Inst Geophys Geodesy & Geog, Acad Georgi Bonchev Str,Bl 3, Sofia 1113, Bulgaria.
C3 Bulgarian Academy of Sciences
RP Nikolova, M (corresponding author), Bulgarian Acad Sci, Dept Geog, Natl Inst Geophys Geodesy & Geog, Acad Georgi Bonchev Str,Bl 3, Sofia 1113, Bulgaria.
EM mknikolova@gmail.com
RI Nikolova, Mariyana/J-6469-2016
OI Nikolova, Mariyana/0000-0003-4878-3051
CR [Anonymous], 2013, CLIMATE CHANGE DISAS
   [Anonymous], 2007, Climate Change 2007-The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the IPCC
   [Anonymous], STRAT AD CLIM CHANG
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   BROOKS N, 2003, 38 U E ANGL TYND CTR, V38, P6
   Church J.A., 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   GARCIA J, 2012, VAST AGRO COMMUNITY
   Holman IP, 2005, CLIMATIC CHANGE, V71, P9, DOI 10.1007/s10584-005-5927-y
   KNMI, 2013, IPCC WG1 AR5 ANN I A
   LEAL W, 2012, CLIMATE CHANGE SUSTA, DOI DOI 10.1007/978-3-642-22266-5_2
   Millán MM, 2014, J HYDROL, V518, P206, DOI 10.1016/j.jhydrol.2013.12.041
   MOEW, 2014, AN ASS RISK VULN SEC, P224
   MOEW, 2012, NAT STRAT MAN DEV WA
   NIKOLOVA M, 2014, MOEW REPORT 2014 ANA, P25
   NSI, 2015, SUST DEV
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   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]
   Trenberth KE, 2012, CLIMATIC CHANGE, V115, P283, DOI 10.1007/s10584-012-0441-5
   UN, 2009, EC COMM EUR CONV PRO, P144
   UNISDR, 2015, 5000 UNISDR ICLUX EN, V1, P5
   WORKD BANK, 2013, CLIM CHANG IMP WAT R
NR 22
TC 0
Z9 0
U1 1
U2 7
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-39880-8; 978-3-319-39879-2
J9 CLIM CHANG MANAG
PY 2016
BP 241
EP 255
DI 10.1007/978-3-319-39880-8_15
D2 10.1007/978-3-319-39880-8
PG 15
WC Environmental Sciences; Environmental Studies; Public, Environmental &
   Occupational Health; Meteorology & Atmospheric Sciences; Regional &
   Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Meteorology & Atmospheric Sciences; Public Administration
GA BG3BE
UT WOS:000387844800016
DA 2025-01-10
ER

PT J
AU Schoene, DHF
   Bernier, PY
AF Schoene, Dieter H. F.
   Bernier, Pierre Y.
TI Adapting forestry and forests to climate change: A challenge to change
   the paradigm
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Climate change impacts; Forest carbon; Adaptation in forestry;
   Definition of sustainable forest management; REDD
ID PINE PROCESSIONARY MOTH; RANGE EXPANSION; CHANGE IMPACTS; GROWTH;
   DROUGHT; BIOMASS; PRODUCTIVITY; EMISSIONS; RESPONSES; INCREASE
AB Carbon in forest biomass has historically been the fulcrum for major changes in forestry and forests. Following T.S. Kuhn, these breaks with the past are seen as paradigm changes. We perceive planned adaptation of forestry and forests under climate change as a new paradigm change, precipitated once more by forest carbon. To be sustainable, forest management and conservation must embrace planned adaptation to and mitigation of mitigation of and adaptation to climate change.
   The current initiative of Reducing Emissions from Deforestation in Developing Countries (REDD) represents, beyond its original mitigation goal, a major facet of planned adaptation of forests and adjoining sectors in developing countries. The initiative is gaining a powerful momentum for enhancing sustainable forest management in developing countries. REDD may also adapt relations between developing and developed countries in another paradigm change. Worldwide observations of climate change impacts on forests and IPCC forecasts project an image of forests and forestry entering a new era. Dealing with this future by relying on autonomous adaptation is unlikely to suffice. Climate change will alter site and ecological conditions, increase risk in many forests, create new gaps in knowledge, increase the value of forest carbon and wood energy, and expand the international and human dimensions of forestry. Ending the proverbial seed dormancy of new developments in forestry, change is underway and appears expedient. We conclude that anticipatory planned adaptation of all facets of forestry to climate change imposes mitigation and adaptation as new boundary conditions for sustainable forest management and conservation, and amounts to a paradigm change. (C) 2011 Elsevier B.V. All rights reserved.
C1 [Bernier, Pierre Y.] Nat Resources Canada, Canadian Forest Serv, Ste Foy, PQ G1V 4C7, Canada.
C3 Natural Resources Canada; Canadian Forest Service
RP Schoene, DHF (corresponding author), Silvignano 58, I-06049 Spoleto, PG, Italy.
EM dieter.schoene@gmail.com; Pierre.Bernier@nrcan.gc.ca
CR Anderson J.R., 1977, AGR DECISION ANAL
   [Anonymous], NAIR WORK PROGR IMP
   [Anonymous], GREEN PAP COMM COUNC
   [Anonymous], ADAPTIVE MANAGEMENT
   [Anonymous], 1996, The Structure of Scientific Revolutions
   [Anonymous], WALD CO2
   [Anonymous], WELTFORSTWIRTSCHAFT
   [Anonymous], GLOSS CLIM CHANG ACR
   [Anonymous], AD PRACT INT
   [Anonymous], R30301 USDA FOR SERV
   [Anonymous], TROPICAL FORESTS GLO
   [Anonymous], CLIMATE CHANGE POLIC
   [Anonymous], NAIR WORK PROGR EUPD
   [Anonymous], TROPICAL FORESTS GLO
   [Anonymous], VERDRAENGEN FLAUMEIC
   [Anonymous], 2022, Climate Change
   [Anonymous], 075 FRDA FOR CAN
   [Anonymous], 2001, STUDIENUNTERLAGEN LE
   [Anonymous], ROLLE WALDES FORTWIR
   [Anonymous], WALD CO2
   [Anonymous], 2020, INNOVATIVE APPROACHE
   [Anonymous], 2006 IPCC GUID NAT G
   [Anonymous], PRINCIPLES OPERATION
   [Anonymous], 2005, TROPICAL FORESTS GLO
   [Anonymous], GLOBAL WARMING SW
   [Anonymous], TROPICAL FORESTS GLO
   [Anonymous], THESIS OREGON STATE
   [Anonymous], PNWRP567 USDA FOR SE
   [Anonymous], 2005, TROPICAL FORESTS GLO
   [Anonymous], BAL ACT PLAN DEC CP
   [Anonymous], 2022, Climate change 2022: Impacts, Adaptation and Vulnerability
   [Anonymous], KOTKA 4 EXPERT CONSU
   [Anonymous], 2006, FAO Forestry Paper 147
   [Anonymous], 1985, FORSTGESCHICHTE
   [Anonymous], GOOD PRACT GUID UNC
   Asshoff R, 2006, GLOBAL CHANGE BIOL, V12, P848, DOI 10.1111/j.1365-2486.2006.01133.x
   Baker DF, 2007, SCIENCE, V316, P1708, DOI 10.1126/science.1144863
   Baker TR, 2004, PHILOS T R SOC B, V359, P353, DOI 10.1098/rstb.2003.1422
   Battisti A, 2008, IFOREST, V1, P1, DOI 10.3832/ifor0210-0010001
   Battisti A, 2006, GLOBAL CHANGE BIOL, V12, P662, DOI 10.1111/j.1365-2486.2006.01124.x
   Biolley H., 1920, L' amenagement des Forets par la methode du controle
   Boisvenue C, 2006, GLOBAL CHANGE BIOL, V12, P862, DOI 10.1111/j.1365-2486.2006.01134.x
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bravo F., 2008, Managing Forest Ecosystems: The Challenge of Climate Change
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Buffo E, 2007, AGR FOREST ENTOMOL, V9, P65, DOI 10.1111/j.1461-9563.2006.00321.x
   BURSCHEL P, 1993, WATER AIR SOIL POLL, V70, P325, DOI 10.1007/BF01105005
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   Ciesla WM, 1995, CLIMATE CHANGE FORES
   D'Amore D.V., 2005, PNWRN549 USDA FOR SE
   de Dios VR, 2007, NEW FOREST, V33, P29, DOI 10.1007/s11056-006-9011-x
   Dessler AE., 2006, SCI POLITICS GLOBAL
   Eliasch J., 2008, Climate change: Financing global forests
   Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
   Fischlin A., 2007, ECOSYSTEMS THEIR PRO
   FreerSmith PH, 2008, FORESTRY AND CLIMATE CHANGE, P1
   Gatto P, 2009, J ENVIRON MANAGE, V90, P683, DOI 10.1016/j.jenvman.2008.01.007
   Hartley R. V., 1976, OPERATIONS RES MANAG
   Hättenschwiler S, 2000, GLOBAL CHANGE BIOL, V6, P213, DOI 10.1046/j.1365-2486.2000.00301.x
   Hennon PE, 1997, J FOREST, V95, P4
   Hillier F.S., 1974, Operations Research, V2nd
   Hódar JA, 2003, BIOL CONSERV, V110, P123, DOI 10.1016/S0006-3207(02)00183-0
   Hogg EH, 2005, CAN J FOREST RES, V35, P610, DOI [10.1139/x04-211, 10.1139/X04-211]
   Hogg EHT, 2005, FOREST CHRON, V81, P675, DOI 10.5558/tfc81675-5
   Humphreys D., 1996, FOREST POLITICS EVOL
   Hungate BA, 2003, SCIENCE, V302, P1512, DOI 10.1126/science.1091390
   Husch B., 1972, FOREST MENSURATION
   Jorgenson MT, 2001, CLIMATIC CHANGE, V48, P551, DOI 10.1023/A:1005667424292
   Jump AS, 2006, GLOBAL CHANGE BIOL, V12, P2163, DOI 10.1111/j.1365-2486.2006.01250.x
   Klein E, 2005, CAN J FOREST RES, V35, P1931, DOI 10.1139/x05-129
   Körner C, 2005, REG ENVIRON CHANGE, V5, P27, DOI 10.1007/s10113-004-0091-x
   Korner C., 2007, TERRESTRIAL ECOSYSTE, P9
   Lewis SL, 2006, PHILOS T R SOC B, V361, P195, DOI 10.1098/rstb.2005.1711
   Lorenz K, 2010, CARBON SEQUESTRATION IN FOREST ECOSYSTEMS, P1, DOI 10.1007/978-90-481-3266-9
   Malhi Y, 2006, GLOBAL CHANGE BIOL, V12, P1107, DOI 10.1111/j.1365-2486.2006.01120.x
   Margolis HA, 2006, AGR FOREST METEOROL, V140, P1, DOI 10.1016/j.agrformet.2006.08.013
   McGuire A.D., 2007, TERRESTRIAL ECOSYSTE, P297
   Mery G A., 2005, Forests in the global balance - changing paradigms, IUFRO world series 17
   Muladi S., 1996, DIPTEROCARP FOREST E, P603
   Nabuurs GJ, 2003, GLOBAL CHANGE BIOL, V9, P152, DOI 10.1046/j.1365-2486.2003.00570.x
   Nemani RR, 2003, SCIENCE, V300, P1560, DOI 10.1126/science.1082750
   Norby RJ, 2005, P NATL ACAD SCI USA, V102, P18052, DOI 10.1073/pnas.0509478102
   Norby RJ, 2004, P NATL ACAD SCI USA, V101, P9689, DOI 10.1073/pnas.0403491101
   Nyberg B., 1999, An introductory guide to adaptive management: For project leaders and participants
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Perez G., 2008, V17, P269, DOI 10.1007/978-1-4020-8343-3_15
   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]
   Rifkin Jeremy., 1989, Entropy: Into the Greenhouse World
   Robledo C., 2005, Adaptation of forest ecosystems and the forest sector to climate change
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Schoene D., 2005, Unasylva (English ed.), V56, P3
   Schone D., 1983, Forst- und Holzwirt, V38, P474
   Seppala R, 2009, ADAPTATION FORESTS P, V22
   Soja AJ, 2007, GLOBAL PLANET CHANGE, V56, P274, DOI 10.1016/j.gloplacha.2006.07.028
   Sonne E, 2006, J ENVIRON QUAL, V35, P1439, DOI 10.2134/jeq2005.0159
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Stastny M, 2006, ECOL ENTOMOL, V31, P481, DOI 10.1111/j.1365-2311.2006.00807.x
   Stephens BB, 2007, SCIENCE, V316, P1732, DOI 10.1126/science.1137004
   Streck C, 2008, CLIMATE CHANGE AND FORESTS: EMERGING POLICY AND MARKET OPPORTUNITIES, P1
   Sutherst RW., 2007, PESTS GLOBAL CHANGE
   UNFCCC, 2008, CLIM CHANG IMP VULN
   van der Werf GR, 2006, ATMOS CHEM PHYS, V6, P3423, DOI 10.5194/acp-6-3423-2006
   Vitt DH, 2000, CAN J FOREST RES, V30, P283, DOI 10.1139/cjfr-30-2-283
   Walther GR, 2005, P ROY SOC B-BIOL SCI, V272, P1427, DOI 10.1098/rspb.2005.3119
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wiedemann E., 1951, ERTRAGSKUNDLICHE WAL
   Winkler R.L., 1975, Statistics: probability, inference, and decision
   WorldBank, 2010, DEV CLIM CHANG
   Yamin F., 2004, The International Climate Change Regime: A Guide to Rules, Institutions and Procedures
NR 109
TC 56
Z9 59
U1 2
U2 114
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1389-9341
EI 1872-7050
J9 FOREST POLICY ECON
JI Forest Policy Econ.
PD NOV
PY 2012
VL 24
SI SI
BP 12
EP 19
DI 10.1016/j.forpol.2011.04.007
PG 8
WC Economics; Environmental Studies; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Business & Economics; Environmental Sciences & Ecology; Forestry
GA 036ZC
UT WOS:000311069800003
DA 2025-01-10
ER

PT S
AU Guong, VT
   Hoa, NM
AF Vo Thi Guong
   Nguyen My Hoa
BE Renaud, FG
   Kuenzer, C
TI Aquaculture and Agricultural Production in the Mekong Delta and its
   Effects on Nutrient Pollution of Soil and Water
SO MEKONG DELTA SYSTEM: INTERDISCIPLINARY ANALYSES OF A RIVER DELTA
SE Environmental Science and Engineering
BS Environmental Engineering
LA English
DT Article; Book Chapter
ID ROOT-GROWTH; COMPACTION
AB The Mekong Delta (MD) is the most important area for agriculture and aquaculture production in Vietnam, especially in terms of the production of rice, fruits, shrimp and cat fish. However, intensification of rice and shrimp production on both alluvial soils and acid sulphate soils (ASS) has resulted in degradation of soil and water environments. Results of the studies on water quality showed that surface water in two branches of the Mekong River had high biological oxygen demand, chemical oxygen demand and nitrate concentrations, which exceeded the limits of the Vietnamese standard for surface water. In ASS areas, water in the canals showed high levels of aluminium, iron and manganese, and toxic metals such as Arsenic, Cadmium, Copper, Nickel, Lead and Zinc. The concentrations of these metals were higher than that in non ASS areas. For shrimp cultivation, rice-shrimp and extensive shrimp systems were more sustainable in-terms of soil and water quality when compared to the intensive shrimp system. In ASS areas, shrimp cultivation had high risk of failure due to low pH and low alkalinity. Based on recent studies, rice rotation with upland crops and compost amendment were the best practices for maintaining soil fertility and improving rice yield in the intensive rice cultivation areas. Organic amendment also improved soil properties and fruit yields in fruit orchards. In intensive vegetable growing areas, soil available phosphate was very high due to high phosphate fertilization, therefore reducing P fertilizer application is a strategy to both save P resources and reduce production costs for farmers. Further studies on the approaches for sustainability in agriculture and aquaculture production in the MD are needed to adapt to climate change.
C1 [Vo Thi Guong; Nguyen My Hoa] Can Tho Univ, Dept Soil Sci, Can Tho City, Vietnam.
C3 Can Tho University
RP Guong, VT (corresponding author), Can Tho Univ, Dept Soil Sci, Campus 2,3-2 St, Can Tho City, Vietnam.
EM vtguong@ctu.edu.vn; nmhoa@ctu.edu.vn
CR ANDREW L, 2007, GROW OUT POND WATER
   Åström M, 2001, J GEOCHEM EXPLOR, V73, P181, DOI 10.1016/S0375-6742(01)00196-0
   Åström M, 1998, ENVIRON GEOL, V36, P219, DOI 10.1007/s002540050338
   BENGOUGH AG, 1990, J SOIL SCI, V41, P341, DOI 10.1111/j.1365-2389.1990.tb00070.x
   Bipfubusa M, 2008, SOIL SCI SOC AM J, V72, P160, DOI 10.2136/sssaj2007.0055
   Boyd C.E., 1998, WATER QUALITY POND A
   Buttery BR, 1998, CAN J PLANT SCI, V78, P571, DOI 10.4141/P97-132
   Can NguyenDuy., 2007, Challenges to Sustainable Development in the Mekong Delta: Regional and National Policy Issues and Research Needs, P69
   Chanratchakool P., 1995, Health Management in Shrimp Ponds
   Chanratchakool P., 2003, AQUACULTURE ASIA, V8, P54
   Chanratchakool P, 2002, HLTH MANAGEMENT SHRI
   Chapman D., 1997, Water Quality Assessments - A Guide to the Use of Biota, Sediments and Water in Environmental Monitoring, V2nd
   Clemente R, 2006, ENVIRON POLLUT, V143, P397, DOI 10.1016/j.envpol.2005.12.011
   Dong Nguyen Minh, 2006, THESIS CAN THO U CAN
   Dudas MJ, 1984, CAN J SOIL SCI, V67, P317
   *GEN STAT OFF, 2007, STAT YB VIETN
   *GEN STAT OFF, 2009, STAT YB VIETN
   Guong Vo Thi, 2004, VIETNAM SOIL SCI J, V20, P36
   Guong Vo Thi, 2006, VIETNAM SOIL SCI J S, P25
   Guong Vo Thi, 2010, IMPROVEMENT SOIL PRO
   Guong Vo Thi, 2010, 19 WORLD SOIL C BRIS
   Guong Vo Thi, 2008, WORKSH 12 2008 CAN T
   Guong Vo Thi, 2010, VIETNAM SOIL SCI J B, V16b, P147
   GUSTAFSSON JP, 1994, SCI TOTAL ENVIRON, V151, P153, DOI 10.1016/0048-9697(94)90171-6
   Hoa N. M., 2003, THESIS WAGENINGEN U
   Hoa Nguyen My, 2010, P AGR C MEK DELT S 2, P337
   Hoa Nguyen My, 2006, POLLUTION TOXIC META
   Hoa Nguyen My, 2010, OVERVIEW RESULTS MAN, P65
   Hoa Nguyen My, 2009, SE ASIAN WATER ENV, V3, P25
   Hoa Nguyen My, 2007, SE ASIAN WATER ENV, V2, P99
   Hoa Nguyen My, 2009, 2 INT WORKSH CLIM CH, P84
   Hossain M, 2006, COMPR ASSESS WAT MAN, V2, P30, DOI 10.1079/9781845931070.0030
   Houba V.J.G., 1995, Soil and plant analysis, a series of syllabi part 5B: soil analysis procedures, other procedures
   Khoi CM, 2008, AQUACULTURE, V274, P275, DOI 10.1016/j.aquaculture.2007.11.039
   Khoi Chau Minh, 2006, THESIS CATHOLIC U LE
   Le T., 2007, FLOOD SALINITY MANAG, P15
   McBride B.C., 1994, Environmental chemistry of soils
   Minh Vo Quang, 2006, THESIS CAN THO U CAN
   Ministry of Fisheries, 2003, FISH EXT VIETN 10 YE
   Ministry of Fisheries, 2006, GUID DECR IMPL DEV P
   NEWTON B, 1999, PROCEDURE ESTIMATE R
   Nguyen TNA, 2010, AQUAC RES, V41, pe289, DOI 10.1111/j.1365-2109.2010.02529.x
   Nhan Dang Kieu, 2007, LIT ANAL CHALLENGES
   Rosolem CA, 2002, SOIL TILL RES, V65, P109, DOI 10.1016/S0167-1987(01)00286-0
   Seroka G., 2004, RELATIONSHIP DISSOLV
   Shock C.C., 2003, P W NUTR MAN C 6 7 M, P211
   Smith DM, 2002, AQUACULTURE, V207, P125, DOI 10.1016/S0044-8486(01)00757-8
   Sundström R, 2002, ENVIRON SCI TECHNOL, V36, P4269, DOI 10.1021/es020022g
   Thu Tat Anh, 2010, SOIL WATER QUALITY N
   Tran T.B., 2007, CHALLENGES SUSTAINAB
   Tran Vo Thi Thu, 2010, PRESENT CULTIVATION
   Treece G.D., 2000, SRAC PUBLICATION, V702
   Tri Le Quang, 2005, VIETNAM SOIL SCI J, V21, P162
   Tuong To Phuc, 2005, PLANT PROD SCI, V8, P229
   UNGER PW, 1994, AGRON J, V86, P759, DOI 10.2134/agronj1994.00021962008600050004x
   Van Hoa Nguyen, 2002, THESIS GHENT U GHENT
   Wang S, 2006, SCI TOTAL ENVIRON, V366, P701, DOI 10.1016/j.scitotenv.2005.09.005
   Whetstone J M, 2002, SO REGIONAL AQUACULT, V2600
   Wurts WA, 1992, Southern Regional Aquaculture Center Publication, V464
NR 59
TC 16
Z9 19
U1 1
U2 13
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 1863-5520
EI 1863-5539
BN 978-94-007-3961-1
J9 ENVIRON SCI ENG
JI Environ. Sci. Eng.
PY 2012
BP 363
EP 393
DI 10.1007/978-94-007-3962-8_14
D2 10.1007/978-94-007-3962-8
PG 31
WC Environmental Sciences; Water Resources
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Water Resources
GA BA7YF
UT WOS:000337899800015
DA 2025-01-10
ER

PT J
AU Prno, J
   Bradshaw, B
   Wandel, J
   Pearce, T
   Smit, B
   Tozer, L
AF Prno, Jason
   Bradshaw, Ben
   Wandel, Johanna
   Pearce, Tristan
   Smit, Barry
   Tozer, Laura
TI Community vulnerability to climate change in the context of other
   exposure-sensitivities in Kugluktuk, Nunavut
SO POLAR RESEARCH
LA English
DT Article
DE Climate change; Arctic; community vulnerability; adaptation; Inuit
ID SEA-ICE; CLYDE-RIVER; ADAPTATION; IMPACTS; FRAMEWORK; CAPACITY;
   IGLOOLIK; THREATS; HEALTH; BARROW
AB Climate change in the Canadian north is, and will be, managed by communities that are already experiencing social, political, economic and other environmental changes. Hence, there is a need to understand vulnerability to climate change in the context of multiple exposure-sensitivities at the community level. This article responds to this perceived knowledge need based on a case study of the community of Kugluktuk in Nunavut, Canada. An established approach for vulnerability assessment is used to identify current climatic and non-climatic exposure-sensitivities along with their associated contemporary adaptation strategies. This assessment of current vulnerability is used as a basis to consider Kugluktuk's possible vulnerability to climatic change in the future. Current climate-related exposure-sensitivities in Kugluktuk relate primarily to subsistence harvesting and community infrastructure. Thinner and less stable ice conditions and unpredictable weather patterns are making travel and harvesting more dangerous and some community infrastructure is sensitive to permafrost melt and extreme weather events (e. g., flash floods). The ability of individuals and households to adapt to these and other climatic exposure-sensitivities is influenced by non-climatic factors that condition adaptive capacity including substance abuse, the erosion of traditional knowledge and youth suicide. These and other non-climatic factors often underpin adaptive capacity to deal with and adapt to changing conditions and must be considered in an assessment of vulnerability. This research argues that Northern communities are challenged by multiple exposure-sensitivities-beyond just those posed by climate-and effective adaptation to climate change requires consideration if not resolution of socio-economic and other issues in communities.
C1 [Bradshaw, Ben; Pearce, Tristan; Smit, Barry; Tozer, Laura] Univ Guelph, Dept Geog, Guelph, ON N1G 2W1, Canada.
   [Prno, Jason] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON N2L 3B4, Canada.
   [Wandel, Johanna] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
C3 University of Guelph; Wilfrid Laurier University; University of Waterloo
RP Bradshaw, B (corresponding author), Univ Guelph, Dept Geog, 50 Stone Rd E, Guelph, ON N1G 2W1, Canada.
EM bbradsha@uoguelph.ca
RI Bradshaw, Ben/AAD-4358-2020; Pearce, Tristan/L-9139-2019
OI Bradshaw, Ben/0000-0001-7195-3974
FU ArcticNet, International Polar Year Canada; Canada Research Chairs
   Programme; Global Environmental Change Group at the University of Guelph
FX Thank you to all interview participants in Kugluktuk and our community
   research assistants, Janet Kadlun, Angela Kuliktana, Manok Taipana,
   Beverley Anablak, Lisa Ayalik and Danielle Meyok. This research was made
   possible through financial and in-kind support from: ArcticNet,
   International Polar Year Canada, the Canada Research Chairs Programme,
   and the Global Environmental Change Group at the University of Guelph.
   Thank you to the reviewers for their thoughtful suggestions and to Marie
   Puddister at the University of Guelph for Fig. 1.
CR Adger W. N., 1999, MITIG ADAPT STRAT GL, V4, P253
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   AMAP (Arctic Monitoring and Assessment Program), 2011, SNOW WAT IC PERM ARC
   Anisimov OA, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P653
   [Anonymous], 2008, THESIS U GUELPH
   [Anonymous], 2001, Polar Rec.
   [Anonymous], ARCT CLIM IMPACT ASS
   [Anonymous], 1994, J. Coast Res.
   Aporta C, 2005, CURR ANTHROPOL, V46, P729, DOI 10.1086/432651
   Aporta C., 2002, POLAR REC, V38, P341, DOI DOI 10.1017/S0032247400018039
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Berkes F, 2002, CONSERV ECOL, V5
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Bone R.M., 2000, REGIONAL GEOGRAPHY C
   Bradshaw B., 2009, ARCTICNET SCI M DEC
   Bradshaw Michael., 2000, QUALITATIVE RES METH, P37
   Bravo MT, 2009, J HIST GEOGR, V35, P256, DOI 10.1016/j.jhg.2008.09.007
   Brklacich M., 2007, FARMING CHANGING CLI, P32
   Burek KA, 2008, ECOL APPL, V18, pS126, DOI 10.1890/06-0553.1
   Carina E., 2004, Local Environment, V9, P425, DOI DOI 10.1080/1354983042000255333
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   Catto NR, 2008, GEOL SOC SPEC PUBL, V305, P123, DOI 10.1144/SP305.12
   CBC (Canadian Broadcasting Corporation), 2007, KUGL VOT ALC COMM
   Chapin FS, 2006, AMBIO, V35, P198, DOI 10.1579/0044-7447(2006)35[198:BRAATM]2.0.CO;2
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Collings P, 1998, ARCTIC, V51, P301
   CONDON RG, 1995, ARCTIC, V48, P31
   Condon Richard., 1996, The Northern Copper Inuit: A History
   CUTTER SL, 1989, PROF GEOGR, V41, P149, DOI 10.1111/j.0033-0124.1989.00149.x
   Damas D., 2002, ARCTIC MIGRANTS ARCT, DOI DOI 10.1515/9780773570412
   Dorais L., 2002, ABORIGINAL PEOPLES C, P129
   Duerden F, 2004, ARCTIC, V57, P204, DOI 10.14430/arctic496
   Duguay CR, 2006, HYDROL PROCESS, V20, P781, DOI 10.1002/hyp.6131
   Environment Canada, 2010, CLIM DAT KUGL STAT
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Forbes BC, 2007, RES SOC PROBL PUBLIC, V15, P203, DOI 10.1016/S0196-1152(07)15006-7
   Ford J, 2007, ARCTIC, V60, P150
   Ford JD, 2008, GEOGR J, V174, P45, DOI 10.1111/j.1475-4959.2007.00249.x
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024006
   Ford JD, 2009, REG ENVIRON CHANGE, V9, P83, DOI 10.1007/s10113-008-0060-x
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Fraser EDG, 2003, GLOBAL ENVIRON CHANG, V13, P137, DOI 10.1016/S0959-3780(03)00022-0
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Furgal C., 2008, IMACTS ADAPTATION CA, P57
   Furgal C, 2006, ENVIRON HEALTH PERSP, V114, P1964, DOI 10.1289/ehp.8433
   Galbraith L., 2007, Impact Assessment and Project Appraisal, V25, P27, DOI 10.3152/146155107X190596
   Gearheard S, 2006, AMBIO, V35, P203, DOI 10.1579/0044-7447(2006)35[203:INTSAC]2.0.CO;2
   George J., 2007, NUNATSIAQ NEWS  0525
   George J., 2007, NUNATSIAQ NEWS  0524
   Government of the Northwest Territories, 2009, COMM DIAM SOC IMP CO
   Hamilton L, 2000, CLIMATIC CHANGE, V47, P193, DOI 10.1023/A:1005607426021
   Harding K., 2007, GLOBE MAIL      0703
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1
   Hovelsrud GK, 2008, ECOL APPL, V18, pS135, DOI 10.1890/06-0843.1
   Huntington H., 2005, ARCTIC CLIMATE IMPAC, P61, DOI DOI 10.7202/1012840AR
   Huntington HP, 2009, MAR POLICY, V33, P77, DOI 10.1016/j.marpol.2008.04.003
   Huntington HP, 1998, ARCTIC, V51, P237, DOI 10.14430/arctic1065
   Keskitalo E.C. H., 2008, Climate Change and Globalization in the Arctic: An Integrated Approach to Vulnerability Assessment
   Krupnik I., 2002, EARTH IS FASTER NOW, P198
   [Krupnik Igor. Jolly D. Berkes F. Castleden J. Nichols T. and the community of Sachs Harbour Jolly D. Berkes F. Castleden J. Nichols T. and the community of Sachs Harbour], 2002, The Earth is Faster Now - Indigenous Observations of Arctic Environmental Change, P92
   Laidler GJ, 2009, CLIMATIC CHANGE, V94, P363, DOI 10.1007/s10584-008-9512-z
   Lim B., 2004, ADAPTATION POLICY FR
   Liverman D., 1986, Cities, V3, P142
   Lynch AH, 2007, CLIMATIC CHANGE, V82, P93, DOI 10.1007/s10584-006-9165-8
   Mc CarthyJames J., 2005, Arctic Climate Impact Assessment, P945
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   McMillan AlanD., 1988, NATIVE PEOPLES CULTU
   Mining Association of Canada, 2009, FACTS FIG 2009
   Nichols T, 2004, ARCTIC, V57, P68
   Nickels S., 2006, Unikkaaqatigiit - Putting the Human Face on Climate Change: Perspectives from Inuit in Canada
   Nuttal M., 2005, ARCTIC CLIMATE IMPAC, P649
   Nuttall Mark., 2001, INDIGENOUS AFFAIRS, V4, P26
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Parkins JR, 2007, GLOBAL ENVIRON CHANG, V17, P460, DOI 10.1016/j.gloenvcha.2007.01.003
   Parkinson AJ, 2009, INT J CIRCUMPOL HEAL, V68, P84, DOI 10.3402/ijch.v68i1.18295
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pearce T., 2010, MERIDIAN         SPR, P6
   Pearce T, 2011, REG ENVIRON CHANGE, V11, P1, DOI 10.1007/s10113-010-0126-4
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Perovich DK, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034007
   Prowse TD, 2009, AMBIO, V38, P257, DOI 10.1579/0044-7447-38.5.257
   Royal Commission on Aboriginal Peoples (rcap), 1996, REP ROYAL COMM AB PE, V1
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Schofield M.A., 1998, THESIS U CALGARY
   Sharma S, 2009, GLOBAL CHANGE BIOL, V15, P2549, DOI 10.1111/j.1365-2486.2009.01945.x
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit Barry., 2008, CAVIAR: Community Adaptation and Vulnerability in Arctic Regions
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Statistics Canada, 2010, DEATHS SEL GROUP CAU
   Statistics Canada, 2008, AB POP PROF 2006 CEN
   Statistics Canada, 2007, AB POP PROF 2006 CEN
   Stroeve J., 2008, Eos, V89, P13, DOI DOI 10.1029/2008EO020001
   Stroeve J, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029703
   Symon C., 2005, ARCTIC CLIMATE IMPAC
   Tester FJ, 2004, SOC SCI MED, V58, P2625, DOI 10.1016/j.socscimed.2003.09.021
   Tews J, 2007, ECOL MODEL, V207, P85, DOI 10.1016/j.ecolmodel.2007.04.011
   Tremblay M., 2006, Climate Change: Linking Traditional and Scientific Knowledge, P123
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Tyler NJC, 2007, GLOBAL ENVIRON CHANG, V17, P191, DOI 10.1016/j.gloenvcha.2006.06.001
   Usher PJ, 2000, ARCTIC, V53, P183, DOI 10.14430/arctic849
   Walsh J., 2005, ARCTIC CLIMATE IMPAC, P184
   WENZEL GW, 1995, ARCTIC ANTHROPOL, V32, P43
   White DM, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/4/045018
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young G, 2010, CLIMATIC CHANGE, V98, P245, DOI 10.1007/s10584-009-9665-4
   Zhou FQ, 2009, COLD REG SCI TECHNOL, V56, P141, DOI 10.1016/j.coldregions.2008.12.004
NR 114
TC 51
Z9 58
U1 3
U2 78
PU NORWEGIAN POLAR INST
PI TROMSO
PA POLAR ENVIRONMENTAL CENTRE, HJALMAR JOHANSENSGATE 14, TROMSO,
   FRAMSENTERET, NORWAY
SN 0800-0395
EI 1751-8369
J9 POLAR RES
JI Polar Res.
PY 2011
VL 30
AR 7363
DI 10.3402/polar.v30i0.7363
PG 21
WC Ecology; Geosciences, Multidisciplinary; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Oceanography
GA 861SO
UT WOS:000298039700008
OA gold
DA 2025-01-10
ER

PT J
AU Chmura, DJ
   Howe, GT
   Anderson, PD
   St Clair, JB
AF Chmura, Daniel J.
   Howe, Glenn T.
   Anderson, Paul D.
   St Clair, J. Bradley
TI Adaptation of trees, forests and forestry to climate change
SO SYLWAN
LA Polish
DT Article
DE adaptation strategy; management; resistance; resilience; sustainable
   forestry
ID ELEVATED CO2 CONCENTRATION; ATMOSPHERIC CO2; STOMATAL CONDUCTANCE;
   DOUGLAS-FIR; RISING CO2; MANAGEMENT; RESPONSES; PHOTOSYNTHESIS;
   DISTURBANCES; RESPIRATION
AB Chmura D. J., Howe G. T., Anderson P D., St.Clair J. B. 2010. Przystosowanie drzew, lasow i lesnictwa do zmian klimatycznych. Sylwan 154 (9): 587-602.
   Ongoing climate change will likely expose trees and forests to new stresses and disturbances during this century. Trees naturally adapt to changes in climate, but their natural adaptive ability may be compromised by the rapid changes projected for this century. In the broad sense, adaptation to climate change also includes the purposeful adaptation of human systems, which includes forestry In this article, we briefly review the expected impacts of projected climate change on trees and forest ecosystems in Poland. We further provide a framework for designing adaptive strategies to sustain or enhance forest growth, health, and ecosystem services in new climates. Within this framework, we distinguish two related objectives: (1) adaptation of decision-making process in forest management and (2) adaptation of forest ecosystems. Each of these objectives may he achieved through strategies and options whose applicability is discussed in relation to major forest functions ecological and societal, commercial, and multiple-use. Knowledge gaps and research needs are also identified. We conclude that the recent emphasis on sustainable multi-functional forestry and the current ownership structure in Poland will facilitate adaptation of Polish forests to future climates. However, much remains to be learned about the impacts of climate change, especially at the ecosystem level. Cooperation between researchers and forest managers is critical for developing better management strategies for adapting forests to climate change.
C1 [Chmura, Daniel J.] Inst Dendrol PAN, PL-62035 Kornik, Poland.
   [Chmura, Daniel J.; Howe, Glenn T.] Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA.
   [Anderson, Paul D.; St Clair, J. Bradley] US Forest Serv, Pacific NW Res Stn, USDA, Corvallis, OR 97331 USA.
C3 Polish Academy of Sciences; Oregon State University; United States
   Department of Agriculture (USDA); United States Forest Service
RP Chmura, DJ (corresponding author), Inst Dendrol PAN, Ul Parkowa 5, PL-62035 Kornik, Poland.
EM djchmura@poczta.onet.pl
RI Chmura, Daniel/H-6245-2011
CR Aber J, 2001, BIOSCIENCE, V51, P735, DOI 10.1641/0006-3568(2001)051[0735:FPAGEC]2.0.CO;2
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2007, AR4 CLIM CHANG 2007
   [Anonymous], 048 MIN FOR RANG RES
   Atkin OK, 2003, TRENDS PLANT SCI, V8, P343, DOI 10.1016/S1360-1385(03)00136-5
   Badeck FW, 2004, NEW PHYTOL, V162, P295, DOI 10.1111/j.1469-8137.2004.01059.x
   Bengtsson J, 2000, FOREST ECOL MANAG, V132, P39, DOI 10.1016/S0378-1127(00)00378-9
   Bernadzki E., 1995, SYLWAN, V139, P19
   Bidart-Bouzat MG, 2008, J INTEGR PLANT BIOL, V50, P1339, DOI 10.1111/j.1744-7909.2008.00751.x
   BOWES G, 1993, ANNU REV PLANT PHYS, V44, P309, DOI 10.1146/annurev.pp.44.060193.001521
   Breshears DD, 2009, FRONT ECOL ENVIRON, V7, P185, DOI 10.1890/080016
   CANNELL MGR, 1983, J APPL ECOL, V20, P951, DOI 10.2307/2403139
   CEULEMANS R, 1994, NEW PHYTOL, V127, P425, DOI 10.1111/j.1469-8137.1994.tb03961.x
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Coakley SM, 1999, ANNU REV PHYTOPATHOL, V37, P399, DOI 10.1146/annurev.phyto.37.1.399
   Curtis PS, 1998, OECOLOGIA, V113, P299, DOI 10.1007/s004420050381
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Drake BG, 1999, PLANT CELL ENVIRON, V22, P649, DOI 10.1046/j.1365-3040.1999.00438.x
   Drake BG, 1997, ANNU REV PLANT PHYS, V48, P609, DOI 10.1146/annurev.arplant.48.1.609
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   EEA, 2008, Air Pollution from Electricity-Generating Large Combustion Plants
   Finzi AC, 2007, P NATL ACAD SCI USA, V104, P14014, DOI 10.1073/pnas.0706518104
   Franklin JF, 2002, FOREST ECOL MANAG, V155, P399, DOI 10.1016/S0378-1127(01)00575-8
   Führer E, 2000, FOREST ECOL MANAG, V132, P29, DOI 10.1016/S0378-1127(00)00377-7
   GIERTYCH M, 1991, P87
   Glaz J, 2008, SYLWAN, V152, P37
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Halpin PN, 1997, ECOL APPL, V7, P828
   Hamilton JG, 2001, PLANT CELL ENVIRON, V24, P975, DOI 10.1046/j.0016-8025.2001.00730.x
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hobbins MT, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033840
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   HUNTLEY B, 1991, ANN BOT-LONDON, V67, P15, DOI 10.1093/oxfordjournals.aob.a088205
   Hüttl RF, 2000, FOREST ECOL MANAG, V132, P83, DOI 10.1016/S0378-1127(00)00381-9
   Intergovernmental Panel on Climate Change, 2001, CLIM CHANG 2001 SYNT
   Jaworski, 1996, SYLWAN, V140, P5
   Klenk NL, 2009, FOREST CHRON, V85, P440, DOI 10.5558/tfc85440-3
   Kowalski M., 1994, Sylwan, V138, P33
   Król A, 2008, SYLWAN, V152, P58
   LEDIG FT, 1992, FOREST ECOL MANAG, V50, P153, DOI 10.1016/0378-1127(92)90321-Y
   Lewis JD, 1996, GLOBAL CHANGE BIOL, V2, P103, DOI 10.1111/j.1365-2486.1996.tb00055.x
   LONG SP, 1991, PLANT CELL ENVIRON, V14, P729, DOI 10.1111/j.1365-3040.1991.tb01439.x
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Medlyn BE, 2001, NEW PHYTOL, V149, P247, DOI 10.1046/j.1469-8137.2001.00028.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mohan JE, 2009, CAN J FOREST RES, V39, P213, DOI 10.1139/X08-185
   MURRAY MB, 1989, J APPL ECOL, V26, P693, DOI 10.2307/2404093
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Neilson RP, 2005, BIOSCIENCE, V55, P749, DOI 10.1641/0006-3568(2005)055[0749:FRTGPM]2.0.CO;2
   Nitschke CR, 2008, FOREST ECOL MANAG, V256, P313, DOI 10.1016/j.foreco.2008.04.026
   Norby RJ, 2005, P NATL ACAD SCI USA, V102, P18052, DOI 10.1073/pnas.0509478102
   Norby RJ, 2004, NEW PHYTOL, V162, P281, DOI 10.1111/j.1469-8137.2004.01047.x
   Norby RJ, 1999, PLANT CELL ENVIRON, V22, P683, DOI 10.1046/j.1365-3040.1999.00391.x
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Ohlson DW, 2005, FOREST CHRON, V81, P97, DOI 10.5558/tfc81097-1
   Oppenheimer M, 2007, SCIENCE, V317, P1505, DOI 10.1126/science.1144831
   Oreskes N, 2005, SCIENCE, V308, P953
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   PETERS RL, 1990, FOREST ECOL MANAG, V35, P13, DOI 10.1016/0378-1127(90)90229-5
   Polityka lesna panstwa, 1997, MIN OCHR SROD
   REHFELDT GE, 1988, SILVAE GENET, V37, P131
   Reich PB, 2008, ECOL LETT, V11, P588, DOI 10.1111/j.1461-0248.2008.01172.x
   Ryszkowski L., 1995, SYLWAN, V139, P19
   Sadowski M., 1996, Sylwan, V140, P83
   Saxe H, 1998, NEW PHYTOL, V139, P395, DOI 10.1046/j.1469-8137.1998.00221.x
   Saxe H, 2001, NEW PHYTOL, V149, P369, DOI 10.1046/j.1469-8137.2001.00057.x
   SKROPPA T, 1993, SILVAE GENET, V42, P111
   Snover A.K., 2007, PREPARING CLIMATE CH
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Spittlehouse DL, 2005, FOREST CHRON, V81, P691, DOI 10.5558/tfc81691-5
   St Clair JB, 2005, ANN BOT-LONDON, V96, P1199, DOI 10.1093/aob/mci278
   SZUJECKI A, 2005, STAN REAL POL LESNCJ, P23
   Tjoelker MG, 1998, TREE PHYSIOL, V18, P715
   Vanclay JK, 2009, FOREST ECOL MANAG, V257, P385, DOI 10.1016/j.foreco.2008.09.003
   Way DA, 2008, GLOBAL CHANGE BIOL, V14, P624, DOI 10.1111/j.1365-2486.2007.01513.x
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wullschleger SD, 2002, PLANT CELL ENVIRON, V25, P319, DOI 10.1046/j.1365-3040.2002.00796.x
   Wullschleger SD, 2002, NEW PHYTOL, V153, P485, DOI 10.1046/j.0028-646X.2001.00333.x
   Zaleski A, 2000, LESNA REGIONALIZACJA
   Zvereva EL, 2006, GLOBAL CHANGE BIOL, V12, P27, DOI 10.1111/j.1365-2486.2005.01086.x
NR 86
TC 11
Z9 13
U1 1
U2 29
PU POLSKIE TOWARZYSTWO LESNE
PI WARSZAWA
PA KOMITET REDAKCYJNY SYLWANA, UL BITWY WARSZAWSKIEJ 1920 R NR 3, WARSZAWA,
   PL-02 362, POLAND
SN 0039-7660
J9 SYLWAN
JI Sylwan
PD SEP
PY 2010
VL 154
IS 9
BP 587
EP 602
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 681DV
UT WOS:000284292500001
DA 2025-01-10
ER

PT J
AU van Huissteden, J
   Kasse, C
AF van Huissteden, J
   Kasse, C
TI Detection of rapid climate change in Last Glacial fluvial successions in
   The Netherlands
SO GLOBAL AND PLANETARY CHANGE
LA English
DT Article
DE palaeoclimatology; fluvial environment; Weichselian; Late Glacial;
   Pleniglacial; The Netherlands
ID POLLEN RECORD; BANKS ISLAND; SAND SHEETS; GRANDE PILE; C-14 AGES; RIVER;
   HOLOCENE; MAAS; VALLEY; ICE
AB Climate change during the Last Glacial is considered as a major forcing factor of fluvial system changes. A continuous succession of fluvial sediments, reflecting adaptations to climate change from the Weichselian Middle Pleniglacial (oxygen isotope stage 3) onwards, occurs in lowland river basins in the Netherlands.
   A comparison of the Pleniglacial and Late Glacial fluvial record in the Netherlands shows that climatic oscillations of similar magnitude did not produce changes in the fluvial sedimentary system of equal magnitude. The Late Glacial fluvial system Droves to be highly sensitive to climate change. By contrast, many of the rapid climate changes that have occurred during oxygen isotope stage 3, according to the Greenland ice core record, are not detectable in the fluvial sediments. This can be explained by differences in the impact of the climate variations on drainage basin vegetation. During the Late Glacial, the tree line repeatedly shifted through the Netherlands, whereas the area remained within the tundra zone during the Middle Pleniglacial. Precipitation variations and permafrost aggradation and degradation have played a secondary role.
   The Weichselian fluvial succession in the Netherlands demonstrates that detection of a change in the fluvial sedimentary system and relating this change to climate change is subject to methodological limitations. The climatic significance of changes in the fluvial record should be carefully evaluated, as well as their chronology. The possibility that climate did not influence the fluvial system should always be considered as a null hypothesis in studies on fluvial successions. (C) 2001 Elsevier Science B.V. All rights reserved.
C1 Vrije Univ Amsterdam, Fac Earth Sci, Dept Quaternary Geol & Geomorphol, NL-1081 HV Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam
RP Vrije Univ Amsterdam, Fac Earth Sci, Dept Quaternary Geol & Geomorphol, De Boelelaan 1085, NL-1081 HV Amsterdam, Netherlands.
EM huik@geo.vu.nl
OI van Huissteden, Jacobus/0000-0001-7730-2793; Kasse,
   Cornelis/0000-0002-1466-1016
CR ANKLIN M, 1993, NATURE, V364, P203, DOI 10.1038/364203a0
   [Anonymous], 1974, Natuurwetenschappelijk Tijdschrift
   [Anonymous], 1995, MEDEDELINGEN RIJKS G
   [Anonymous], 1995, Meded. Rijks Geol. Dienst
   [Anonymous], 1990, Mededelingen Rijks Geologische Dienst.
   [Anonymous], 1996, PERIGLACIAL ENV
   Antoine P, 1997, GEOGR PHYS QUATERN, V51, P93, DOI 10.7202/004763ar
   Antoine P, 1997, CR ACAD SCI II A, V325, P35, DOI 10.1016/S1251-8050(97)83270-3
   BARD E, 1993, RADIOCARBON, V35, P191, DOI 10.1017/S0033822200013886
   Bateman MD, 1999, J QUATERNARY SCI, V14, P277, DOI 10.1002/(SICI)1099-1417(199905)14:3<277::AID-JQS460>3.0.CO;2-W
   Beaulieu J.-L. de, 1984, GEROGR PHYS QUATERN, V38, P3
   BOHNCKE S, 1993, GEOL MIJNBOUW, V72, P193
   BOHNCKE S, 1987, BOREAS, V16, P69, DOI 10.1111/j.1502-3885.1987.tb00756.x
   Bohncke S. J. P., 1991, TEMPERATE PALAEOHYDR, P253
   BOND G, 1993, NATURE, V365, P143, DOI 10.1038/365143a0
   BRIDGE JS, 1979, SEDIMENTOLOGY, V26, P617, DOI 10.1111/j.1365-3091.1979.tb00935.x
   BRINKKEMPER O, 1987, REV PALAEOBOT PALYNO, V51, P235, DOI 10.1016/0034-6667(87)90071-6
   BURN CR, 1988, P 5 INT C PERM TROND, P700
   Church M., 1988, FLOOD GEOMORPHOLOGY, P205
   COOPE GR, 1966, PROC R SOC SER B-BIO, V165, P389, DOI 10.1098/rspb.1966.0073
   DANSGAARD W, 1993, NATURE, V364, P218, DOI 10.1038/364218a0
   DEBEAULIEU JL, 1984, BOREAS, V13, P111
   DEGANS W, 1981, THESIS FREE U AMSTER
   Fauquette S, 1999, GLOBAL PLANET CHANGE, V20, P1, DOI 10.1016/S0921-8181(98)00054-X
   Fuller IC, 1998, GEOLOGY, V26, P275, DOI 10.1130/0091-7613(1998)026<0275:RRTHFC>2.3.CO;2
   GOOD TR, 1985, GEOGR ANN A, V67, P33, DOI 10.2307/520464
   Gregory K.J., 1988, Biogemorphology, P11
   Grootes PM, 1997, J GEOPHYS RES-OCEANS, V102, P26455, DOI 10.1029/97JC00880
   GUIOT J, 1989, NATURE, V338, P309, DOI 10.1038/338309a0
   HOEK W, 1997, THESIS VRIJE U
   Huijzer B, 1998, J QUATERNARY SCI, V13, P391, DOI 10.1002/(SICI)1099-1417(1998090)13:5<391::AID-JQS397>3.0.CO;2-6
   Huisink M, 1997, J QUATERNARY SCI, V12, P209, DOI 10.1002/(SICI)1099-1417(199705/06)12:3<209::AID-JQS306>3.3.CO;2-G
   HUISINK M, 1999, THESIS VRIJE U
   HUISINK M, 2000, SEDIMENT GEOL
   Kasse C, 2000, J QUATERNARY SCI, V15, P91, DOI 10.1002/(SICI)1099-1417(200001)15:1<91::AID-JQS519>3.0.CO;2-1
   Kasse C, 1995, GEOL MIJNBOUW, V74, P251
   Kasse C, 1997, PERMAFROST PERIGLAC, V8, P295, DOI 10.1002/(SICI)1099-1530(199709)8:3<295::AID-PPP256>3.0.CO;2-0
   Kasse C., 1998, Paleohydrology and environmental change, P83
   KASSE K, 1995, PALAOKLIMAFORSCHUNG, V14, P123
   Kitagawa H, 1998, RADIOCARBON, V40, P505
   KOLSTRUP E, 1977, Geologie en Mijnbouw, V56, P85
   Kolstrup E., 1980, MEDEDELINGEN RIJKS G, V32, P181
   LEA PD, 1990, QUATERNARY RES, V34, P269, DOI 10.1016/0033-5894(90)90040-R
   Lewkowicz A.G., 1990, P 5 CANADIAN PERMAFR, P111
   Liedtke H., 1993, Z GEOMORPHOL S, V93, P69
   MARTINSON DG, 1987, QUATERNARY RES, V27, P1, DOI 10.1016/0033-5894(87)90046-9
   MIALL AD, 1988, AAPG BULL, V72, P682
   MIALL AD, 1977, EARTH-SCI REV, V13, P1, DOI 10.1016/0012-8252(77)90055-1
   MOL J, 1993, J QUATERNARY SCI, V8, P15, DOI 10.1002/jqs.3390080103
   Mol J, 1997, J QUATERNARY SCI, V12, P43, DOI 10.1002/(SICI)1099-1417(199701/02)12:1<43::AID-JQS291>3.0.CO;2-0
   PISSART A, 1977, CAN J EARTH SCI, V14, P2462, DOI 10.1139/e77-214
   Ran E.T.H., 1990, Mededelingen Rijks Geologische Dienst, V44, P141
   RAN ETH, 1990, GEOL MIJNBOUW-N J G, V69, P207
   RAN ETH, 1990, MEDEDELINGEN RIJKS G, V44, P209
   SCHWAN J, 1988, SEDIMENT GEOL, V55, P197, DOI 10.1016/0037-0738(88)90132-7
   SCHWAN J, 1986, SEDIMENT GEOL, V49, P73, DOI 10.1016/0037-0738(86)90016-3
   SCHWAN J, 1987, SEDIMENT GEOL, V52, P273, DOI 10.1016/0037-0738(87)90065-0
   TEBBENS LA, 1999, THESIS LANDBOUWUNIVE
   TORNQVIST TE, 1993, BOREAS, V22, P129, DOI 10.1111/j.1502-3885.1993.tb00172.x
   van der Hammen T, 1967, Geologie en, VMijnbouw46, P79, DOI DOI 10.1017/njg.2015.27
   Van Huissteden J., 1988, Z GEOMORPHOLOGIE S, V71, P131
   VANDENBERG MW, 1996, FLUVIAL SEQUENCES MA, P99
   VANDENBERGHE J, 1995, QUATERNARY SCI REV, V14, P631, DOI 10.1016/0277-3791(95)00043-O
   VANDENBERGHE J, 1994, TERRA NOVA, V6, P476, DOI 10.1111/j.1365-3121.1994.tb00891.x
   VANDENBERGHE J, 1985, QUATERNARY RES, V24, P23, DOI 10.1016/0033-5894(85)90081-X
   Vandenberghe J., 1988, Advances in Periglacial Geomorphology, P179
   Vandenberghe J., 1988, P 5 INT C PERM TROND, P876
   VANDENBERGHE J, 1989, QUATERNARY TYPE SECT, P93
   VANDENBERGHE J, 1987, INT GEOMORPHOLOGY 1, P731
   VANDERHAMMEN T, 1971, MEDEDELINGEN RIJKS G, V22, P81
   VANGEEL B, 1989, REV PALAEOBOT PALYNO, V60, P25, DOI 10.1016/0034-6667(89)90072-9
   VANHUISSTEDEN J, 1986, EARTH SURF PROCESSES, V11, P207, DOI 10.1002/esp.3290110210
   VANHUISSTEDEN K, 1986, EISZEITALTER GEGENWA, V36, P43
   Voelker AHL, 1998, RADIOCARBON, V40, P517
   Westerhoff W. E., 1990, EXCURSIEGIDS 30 BELG
   WOILLARD GM, 1982, SCIENCE, V215, P159, DOI 10.1126/science.215.4529.159
   WOILLARD GM, 1978, QUATERNARY RES, V9, P1, DOI 10.1016/0033-5894(78)90079-0
   WOO MK, 1992, PHYS GEOGR, V13, P287, DOI 10.1080/02723646.1992.10642459
   WOO MK, 1994, PHYS GEOGR, V15, P201, DOI 10.1080/02723646.1994.10642513
   Zagwijn W., 1974, MED RIJKS GEOL DIENS, V25, P101
   Zagwijn W.H., 1968, EISZEITALTER GEGENWA, V19, P129
NR 81
TC 64
Z9 64
U1 0
U2 7
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 FEB
PY 2001
VL 28
IS 1-4
BP 319
EP 339
DI 10.1016/S0921-8181(00)00082-5
PG 21
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA 413HQ
UT WOS:000167607300025
DA 2025-01-10
ER

PT J
AU Langendijk, GS
   Halenka, T
   Hoffmann, P
   Adinolfi, M
   Campino, AA
   Asselin, O
   Bastin, S
   Bechtel, B
   Belda, M
   Bushenkova, A
   Campanale, A
   Chun, KP
   Constantinidou, K
   Coppola, E
   Demuzere, M
   Doan, QV
   Evans, J
   Feldmann, H
   Fernandez, J
   Fita, L
   Hadjinicolaou, P
   Hamdi, R
   Hundhausen, M
   Grawe, D
   Johannsen, F
   Milovac, J
   Katragkou, E
   Kerroumi, NE
   Kotlarski, S
   Le Roy, B
   Lemonsu, A
   Lennard, C
   Lipson, M
   Mandal, S
   Pabón, LEM
   Pavlidis, V
   Pietikäinen, JP
   Raffa, M
   Raluy-López, E
   Rechid, D
   Ito, R
   Schulz, JP
   Soares, PMM
   Takane, Y
   Teichmann, C
   Thatcher, M
   Top, S
   Van Schaeybroeck, B
   Wang, FX
   Yuan, JC
AF Langendijk, Gaby S.
   Halenka, Tomas
   Hoffmann, Peter
   Adinolfi, Marianna
   Campino, Aitor Aldama
   Asselin, Olivier
   Bastin, Sophie
   Bechtel, Benjamin
   Belda, Michal
   Bushenkova, Angelina
   Campanale, Angelo
   Chun, Kwok Pan
   Constantinidou, Katiana
   Coppola, Erika
   Demuzere, Matthias
   Doan, Quang-Van
   Evans, Jason
   Feldmann, Hendrik
   Fernandez, Jesus
   Fita, Lluis
   Hadjinicolaou, Panos
   Hamdi, Rafiq
   Hundhausen, Marie
   Grawe, David
   Johannsen, Frederico
   Milovac, Josipa
   Katragkou, Eleni
   Kerroumi, Nour El Islam
   Kotlarski, Sven
   Le Roy, Benjamin
   Lemonsu, Aude
   Lennard, Christopher
   Lipson, Mathew
   Mandal, Shailendra
   Munoz Pabon, Luis E.
   Pavlidis, Vassileios
   Pietikaeinen, Joni-Pekka
   Raffa, Mario
   Raluy-Lopez, Eloisa
   Rechid, Diana
   Ito, Rui
   Schulz, Jan-Peter
   Soares, Pedro M. M.
   Takane, Yuya
   Teichmann, Claas
   Thatcher, Marcus
   Top, Sara
   Van Schaeybroeck, Bert
   Wang, Fuxing
   Yuan, Jiacan
TI Towards better understanding the urban environment and its interactions
   with regional climate change - The WCRP CORDEX Flagship Pilot Study
   URB-RCC
SO URBAN CLIMATE
LA English
DT Article
DE Urban areas; Regional climate models; Coordinated experiment; URB-RCC;
   Kilometer scale modelling
ID BALANCE TEB SCHEME; HEAT-ISLAND; LAND-SURFACE; AIR-QUALITY; IMPACT;
   MODEL; ENERGY; PARAMETERIZATION; EMISSIONS; PROSPECTS
AB High-quality climate information tailored to cities' needs assists decision makers to prepare for and adapt to climate change impacts, as well as to support the targeted transition towards climate resilient cities. During the last decades, two main modelling approaches emerged to understand and analyse the urban climate and to generate information. Firstly, meso- and microscale urban climate models commonly resolve the street to city scale climate (1 m to 1 km) through simulating short "weather" type episodes, possibly under climate change conditions. Secondly, regional climate models (RCMs) are currently approaching the kilometer scale grid resolutions (1-4 km) and becoming increasingly relevant to understand the interactions of cities with the regional climate on timescales from decades up to a century. Therefore, the WCRP CORDEX Flagship Pilot Study "URBan environments and Regional Climate Change (FPS URB-RCC)" brings together the urban climate modelling community and the RCM community and focuses on understanding the interactions between urban areas and regional climate change, with the help of coordinated experiments with an RCM ensemble having refined urban representations. This paper presents the FPS URB-RCC, its main aims, as well as the initial steps taken. The FPS URB-RCC advances urban climate projections and information to support evidence-based climate action towards climate resilient cities.
C1 [Langendijk, Gaby S.] Deltares, Climate Adaptat & Disaster Risk Dept, POB 177, NL-2600 Delft, Netherlands.
   [Halenka, Tomas; Belda, Michal] Charles Univ Prague, Dept Atmospher Phys, Fac Math & Phys, V Holesovickach 2, Prague 18000 8, Czech Republic.
   [Langendijk, Gaby S.; Hoffmann, Peter; Le Roy, Benjamin; Teichmann, Claas] Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.
   [Adinolfi, Marianna; Campanale, Angelo] CMCC Fdn, Reg Models & Geo Hydrol Impacts REMHI Div, Euro Mediterranean Ctr Climate Change, Via Thomas Alva Edison s n c, I-81100 Caserta, CE, Italy.
   [Campino, Aitor Aldama; Wang, Fuxing] Swedish Meteorol & Hydrol Inst, Folkborgsvagen 17, S-60176 Norrkoping, Sweden.
   [Asselin, Olivier; Thatcher, Marcus] Ouranos, 550 rue Sherbrooke Ouest, Montreal, PQ H3A IB9, Canada.
   [Bastin, Sophie] Sorbonne Univ, CNRS, LATMOS, UVSQ Univ Paris Saclay,IPSL,CNES, Guyancourt, France.
   [Bechtel, Benjamin] Ruhr Univ Bochum, Bochum Urban Climate Lab, Bochum, Germany.
   [Bushenkova, Angelina; Johannsen, Frederico; Soares, Pedro M. M.] Univ Lisbon, Inst Dom Luiz IDL, Fac Ciencias, Lisbon, Portugal.
   [Chun, Kwok Pan] Univ West England, Sch Architecture & Environm, Bristol BS16 1YN, England.
   [Constantinidou, Katiana; Hadjinicolaou, Panos] Cyprus Inst, Climate & Atmosphere Res Ctr CARE C, Nicosia, Cyprus.
   [Coppola, Erika] Abdus Salam Int Ctr Theoret Phys ICTP, Trieste, Italy.
   [Demuzere, Matthias] B Kode VOG, Ghent, Belgium.
   [Doan, Quang-Van] Univ Tsukuba, Ctr Computat Sci, Tsukuba, Japan.
   [Evans, Jason] Univ New South Wales, Climate Change Res Ctr, Sydney, Australia.
   [Feldmann, Hendrik; Hundhausen, Marie] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMKTRO, Karlsruhe, Germany.
   [Munoz Pabon, Luis E.] Univ Buenos Aires UBA, Ctr Invest Mar & Atmosfera CIMA, IRL 3351 IFAECI, CONICET,CNRS,IRD, C A Buenos Aires, Argentina.
   [Hamdi, Rafiq; Van Schaeybroeck, Bert] Royal Meteorol Inst Belgium, Brussels, Belgium.
   [Grawe, David] Univ Hamburg, CEN Urban Climate Lab Meteorol Inst, Bundesstr 55, D-20146 Hamburg, Germany.
   [Fernandez, Jesus; Milovac, Josipa] Univ Cantabria, Inst Fis Cantabria IFCA, CSIC, Santander, Spain.
   [Katragkou, Eleni; Pavlidis, Vassileios] Aristotle Univ Thessaloniki, Sch Geol, Dept Meteorol & Climatol, Thessaloniki, Greece.
   [Kerroumi, Nour El Islam] Off Natl Meteorol, Dar El Beida, Algeria.
   [Kotlarski, Sven] Fed Off Meteorol & Climatol MeteoSwiss, Zurich, Switzerland.
   [Lemonsu, Aude] Univ Toulouse, CNRS, CNRM, Meteo France, Toulouse, France.
   [Lennard, Christopher] Univ Cape Town, Rondebosch, South Africa.
   [Lipson, Mathew] Bur Meteorol, Melbourne, Australia.
   [Mandal, Shailendra] Natl Inst Technol Patna, Dept Architecture & Planning, Patna 800005, India.
   [Raluy-Lopez, Eloisa] Univ Murcia, Phys Earth, Reg Campus Int Excellence CEIR, Campus Mare Nostrum, Murcia, Spain.
   [Ito, Rui] Japan Agcy Marine Earth Sci & Technol, 3173-25 Showa Machi,Kanazawa Ku, Yokohama 2360001, Japan.
   [Schulz, Jan-Peter] German Meteorol Serv DWD, Frankfurter Str 135, D-63067 Offenbach, Germany.
   [Takane, Yuya] Natl Inst Adv Ind Sci & Technol, Environm Management Res Inst, Tsukuba, Japan.
   [Thatcher, Marcus] Commonwealth Sci & Ind Res Org CSIRO, Canberra, Australia.
   [Top, Sara] Univ Ghent, Ghent, Belgium.
   [Yuan, Jiacan] Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai, Peoples R China.
   [Yuan, Jiacan] Fudan Univ, Inst Atmospher Sci, Shanghai, Peoples R China.
   [Yuan, Jiacan] Fudan Univ, Shanghai Key Lab Ocean land atmosphere Boundary D, Shanghai, Peoples R China.
RP Langendijk, GS (corresponding author), Deltares, Climate Adaptat & Disaster Risk Dept, POB 177, NL-2600 Delft, Netherlands.; Langendijk, GS (corresponding author), Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.
EM langendijk.gs@gmail.com; tomas.halenka@mff.cuni.cz;
   peter.hoffmann@hereon.de; marianna.adinolfi@cmcc.it;
   aitor.aldamacampino@smhi.se; asselin.olivier@ouranos.ca;
   sophie.bastin@latmos.ipsl.fr; benjamin.bechtel@rub.de;
   michal.belda@mff.cuni.cz; avbushenkova@ciencias.ulisboa.pt;
   angelo.campanale@cmcc.it; kwok.chun@uwe.ac.uk;
   k.constantinidou@cyi.ac.cy; coppolae@ictp.it; Matthias@b-kode.be;
   doan.van.gb@u.tsukuba.ac.jp; jason.evans@unsw.edu.au;
   hendrik.feldmann@kit.edu; jesus.fernandez@unican.es;
   lluis.fita@cima.fcen.uba.ar; p.hadjinicolaou@cyi.ac.cy;
   Rafiq.hamdi@meteo.be; marie.hundhausen@kit.edu;
   david.grawe@uni-hamburg.de; jfjohannsen@ciencias.ulisboa.pt;
   josipa.milovac@unican.es; katragou@geo.auth.gr;
   sven.kotlarski@meteoswiss.ch; benjamin.le-roy@hereon.de;
   aude.lemonsu@meteo.fr; lennard@csag.uct.ac.za; mathew.lipson@bom.gov.au;
   shailendra@fulbrightmail.org; vaspavli@physics.auth.gr;
   mario.raffa@cmcc.it; diana.rechid@hereon.de; rui.ito@jamstec.go.jp;
   jan-peter.schulz@dwd.de; pmsoares@ciencias.ulisboa.pt;
   takane.yuya@aist.go.jp; claas.teichmann@hereon.de;
   marcus.thatcher@csiro.au; sara.top@ugent.be; fuxing.wang@smhi.se;
   jcyuan@fudan.edu.cn
FU CORDEX FPS URB-RCC [101081555, 101056783]; EU [101081555, 101056783];
   German Federal Ministry of Education and Research (BMBF) [01LN2204A];
   CONICET; University of the West of England; MICIU/AEI
   [PID2020-116595RB-I00]; EU Horizon Europea CARMINE project; German
   Research Foundation (DFG) [437467569]; CNRS/INSU/LEFE program; Fund for
   Scientific Research of the Flemish regional government (FWO) [1270723 N]
FX In addition, we thank the Charles University Program COOPERATIO-ENVI, of
   which T. Halenka is part. Furthermore, there are connections between the
   CORDEX FPS URB-RCC and EU Horizon Europe projects IMPETUS4CHANGE
   (101081555) and FOCI (101056783). P. Hoffmann would like to thank the
   German Federal Ministry of Education and Research (BMBF) for the BMBF
   Junior Research Group (CoSynHealth, 01LN2204A) funding support and the
   project management support from the German Aerospace Center (DLR). Luis
   E. Munoz Pabon is funded by the CONICET with a PhD grant. Kwok P. Chun
   is funded by the Vice Chancellor's Accelerator Programme from the
   University of the West of England. J.F. and J.M. acknowledge support
   from project CORDyS (PID2020-116595RB-I00), funded by
   MICIU/AEI/10.13039/501100011033. M. Demuzere acknowledges support from
   the EU Horizon Europea CARMINE project and the ENLIGHT project, project
   funded by the German Research Foundation (DFG) under grant no.
   437467569. IPSL and CIMA thank the CNRS/INSU/LEFE program for financial
   support and GENCI for granted access to HPC resources of TGCC under the
   allocation A0150106877. S. Top is funded by the Fund for Scientific
   Research of the Flemish regional government (FWO), fellowship 1270723 N.
CR Andreadis KM, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac9197
   Apreda C, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101535
   Argüeso D, 2014, CLIM DYNAM, V42, P2183, DOI 10.1007/s00382-013-1789-6
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Baidar S, 2020, EPJ WEB CONF, V237, DOI 10.1051/j.epjconf/202023706009
   Baklanov A, 2018, URBAN CLIM, V23, P330, DOI 10.1016/j.uclim.2017.05.004
   Baklanov A, 2010, ADV SCI RES, V4, P115, DOI 10.5194/asr-4-115-2010
   Bechtel B, 2019, URBAN CLIM, V27, P24, DOI 10.1016/j.uclim.2018.10.001
   Brecht BM, 2020, METEOROL Z, V29, P97, DOI 10.1127/metz/2020/1010
   Brousse O, 2016, URBAN CLIM, V17, P116, DOI 10.1016/j.uclim.2016.04.001
   Bushenkova A, 2024, URBAN CLIM, V55, DOI 10.1016/j.uclim.2024.101982
   Casanueva A, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01625-6
   Coppola E, 2020, CLIM DYNAM, V55, P3, DOI 10.1007/s00382-018-4521-8
   Daniel M, 2019, CLIM DYNAM, V52, P2745, DOI 10.1007/s00382-018-4289-x
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Demuzere M, 2022, EARTH SYST SCI DATA, V14, P3835, DOI 10.5194/essd-14-3835-2022
   Doan QV, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002563
   Doan QV, 2016, URBAN CLIM, V17, P20, DOI 10.1016/j.uclim.2016.04.003
   Doan VQ, 2018, INT J CLIMATOL, V38, P4155, DOI 10.1002/joc.5559
   Droste AM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad8ef
   Duchêne F, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101319
   Duchêne F, 2020, J APPL METEOROL CLIM, V59, P1109, DOI 10.1175/JAMC-D-19-0104.1
   Eisenack K, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102439
   Fan PY, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101034
   Garbero V, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12020237
   Giorgi F, 2018, ATMOS OCEAN SCI LETT, V11, P189, DOI 10.1080/16742834.2018.1452520
   Grell G, 2011, ATMOS ENVIRON, V45, P6845, DOI 10.1016/j.atmosenv.2011.01.017
   Grimmond CSB, 2010, J APPL METEOROL CLIM, V49, P1268, DOI 10.1175/2010JAMC2354.1
   Gu Y, 2023, FRONT EARTH SCI-PRC, V17, P527, DOI 10.1007/s11707-022-1002-5
   Hamdi R, 2008, J APPL METEOROL CLIM, V47, P2627, DOI 10.1175/2008JAMC1865.1
   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
   Heal G, 2016, REV ENV ECON POLICY, V10, P347, DOI 10.1093/reep/rew007
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hertwig D, 2021, INT J CLIMATOL, V41, P3266, DOI 10.1002/joc.7018
   Hoffmann P, 2018, METEOROL Z, V27, P89, DOI 10.1127/metz/2016/0773
   Hoffmann P, 2012, INT J CLIMATOL, V32, P1238, DOI 10.1002/joc.2348
   Hsu A, 2020, NAT CLIM CHANGE, V10, DOI 10.1038/s41558-020-0879-9
   Hundhausen M, 2023, NAT HAZARD EARTH SYS, V23, P2873, DOI 10.5194/nhess-23-2873-2023
   Huszar P, 2016, ATMOS CHEM PHYS, V16, P1331, DOI 10.5194/acp-16-1331-2016
   Huszar P, 2014, ATMOS CHEM PHYS, V14, P12393, DOI 10.5194/acp-14-12393-2014
   Huszar P, 2020, ATMOS CHEM PHYS, V20, P11655, DOI 10.5194/acp-20-11655-2020
   Huszár P, 2016, ATMOS CHEM PHYS, V16, P12993, DOI 10.5194/acp-16-12993-2016
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Jänicke B, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12101291
   Johannsen F, 2024, URBAN CLIM, V56, DOI 10.1016/j.uclim.2024.102039
   Kache PA, 2022, NAT ECOL EVOL, V6, P1601, DOI 10.1038/s41559-022-01876-y
   Katragkou E, 2024, B AM METEOROL SOC, V105, DOI 10.1175/BAMS-D-23-0131.1
   Katzfey J, 2020, Q J ROY METEOR SOC, V146, P3808, DOI 10.1002/qj.3874
   Kim SW, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146389
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Kusaka H, 2001, BOUND-LAY METEOROL, V101, P329, DOI 10.1023/A:1019207923078
   Laino E, 2023, OCEAN COAST MANAGE, V242, DOI 10.1016/j.ocecoaman.2023.106709
   Lalonde M, 2023, URBAN CLIM, V51, DOI 10.1016/j.uclim.2023.101605
   Langendijk GS, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100367
   Langendijk G.S., 2019, ATMOSPHERE-BASEL, V10, P730, DOI [10.3390/atmos10120730, DOI 10.3390/atmos10120730]
   Langendijk GSS, 2022, URBAN CLIM, V43, DOI 10.1016/j.uclim.2022.101159
   Le Roy B, 2021, CLIM DYNAM, V56, P2487, DOI 10.1007/s00382-020-05600-z
   Lindberg F., 2024, Observations and Modelling of Mosquito Prevalence within Urban Areas A Case Studyfrom Uppsala, DOI [10.1007/s11252-024-01511-7, DOI 10.1007/S11252-024-01511-7]
   Lipson MJ, 2024, Q J ROY METEOR SOC, V150, P126, DOI 10.1002/qj.4589
   Liu J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42494-2
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Masson V, 2002, J APPL METEOROL, V41, P1011
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Nicholls RJ, 2021, NAT CLIM CHANGE, V11, P338, DOI 10.1038/s41558-021-00993-z
   Nogueira M, 2022, GEOSCI MODEL DEV, V15, P5949, DOI 10.5194/gmd-15-5949-2022
   Nogueira M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100683
   Nogueira M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab465f
   Oleson KW, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2018MS001586
   Prein AF, 2015, REV GEOPHYS, V53, P323, DOI 10.1002/2014RG000475
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Rentschler J, 2023, NATURE, V622, P87, DOI 10.1038/s41586-023-06468-9
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Schär C, 2020, B AM METEOROL SOC, V101, pE567, DOI 10.1175/BAMS-D-18-0167.1
   Schar C, 1996, GEOPHYS RES LETT, V23, P669, DOI 10.1029/96GL00265
   Schlunzen K.H., 2023, Guidance on Measuring, Modelling and Monitoring the Canopy Layer Urban Heat Island (CL-UHI)
   Schwingshackl C., 2023, Nat. Hazards Earth Syst. Sci. Discuss, DOI [10.5194/nhess-2023-99, DOI 10.5194/NHESS-2023-99]
   Sokhi RS, 2022, ATMOS CHEM PHYS, V22, P4615, DOI 10.5194/acp-22-4615-2022
   Stewart ID, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100484
   T.C.V. Z. S.D. M.Z. W.G. J.Z. L.Q. Y, 2024, Nat. Commun., DOI [10.21203/rs.3.rs-3958909/v1, DOI 10.21203/RS.3.RS-3958909/V1]
   Takane Y, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab6933
   Takane Y, 2019, NPJ CLIM ATMOS SCI, V2, DOI 10.1038/s41612-019-0096-2
   Dang TN, 2018, AM J PUBLIC HEALTH, V108, pS137, DOI 10.2105/AJPH.2017.304123
   Trusilova K, 2013, J APPL METEOROL CLIM, V52, P2296, DOI 10.1175/JAMC-D-12-0209.1
   UN-HABITAT, 2022, UN-HABITAT Report
   Wang J, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2022JD038048
   Wondmagegn BY, 2019, SCI TOTAL ENVIRON, V657, P608, DOI 10.1016/j.scitotenv.2018.11.479
   Yang P, 2020, J METEOROL RES-PRC, V34, P986, DOI 10.1007/s13351-020-9135-5
   Yue CJ, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12101355
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
   Ziska LH, 2003, J ALLERGY CLIN IMMUN, V111, P290, DOI 10.1067/mai.2003.53
NR 92
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD NOV
PY 2024
VL 58
AR 102165
DI 10.1016/j.uclim.2024.102165
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA P3F2G
UT WOS:001376803100001
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Moniruzzaman
   Sadika,
   Haque, S
   Rahman, MS
   Islam, AHMS
   Salam, MA
AF Moniruzzaman
   Haque, Sadika
   Haque, A. K. Enamul
   Rahman, Md Sadique
   Islam, A. H. M. Saiful
   Salam, Md Abdus
TI Farmer's perception, observed trend and adaptation measures to climate
   change: Evidence from wheat farmers in Bangladesh
SO JOURNAL OF AGRICULTURE AND FOOD RESEARCH
LA English
DT Article
DE Adaptation; Climate change; Farmers ' perception; Multinomial logistic
   regression; Wheat farming
ID LEVEL ADAPTATION; STRATEGIES; VARIABILITY; DECISIONS
AB Wheat, the first grain crop in the world, can be negatively impacted by varying temperatures and precipitation patterns, which may pose a threat to the food security. Therefore, the objective of this study is to investigate wheat farmers perception of and adaptation to climate change. Cross-section and historical data on climate variables were used. Cross-section data was collected from 600 wheat farmers in various Agroecological Zones (AEZ) through face-to-face interviews. Descriptive statistics, time-trend regression, and the multinomial logistic regression (MNL) model were used to analyze the data. Using actual meteorological data, a climate change analysis corroborated the farmers' perceptions regarding the variability of temperature and precipitation. Changing planting dates (23 %) and cultivation of short duration wheat varieties (17 %) were identified as the major adaptation measures to climate change, while about 19 % of farmers did not undertake any adaptation measures. Access to climate information increased the likelihood of adopting short-duration wheat varieties by 8.57 % and changing planting date by 9.32 %, while credit access increases the likelihood of adopting short duration wheat varieties by 8.86 %. Increasing awareness of climate change, intensifying extension activities, increasing access to climate information, and modifying wheat production techniques can all help farmers become more resilient to climate change, thereby ensuring food security under changing climate.
C1 [Moniruzzaman] Bangladesh Agr Res Inst, Agr Econ Div, Gazipur 1701, Bangladesh.
   [Haque, Sadika; Islam, A. H. M. Saiful] Bangladesh Agr Univ, Dept Agr Econ, Mymensingh 2202, Bangladesh.
   [Haque, A. K. Enamul] East West Univ, Dept Econ, Dhaka 1212, Bangladesh.
   [Rahman, Md Sadique] Sher e Ebangla Agr Univ, Dept Management & Finance, Dhaka 1207, Bangladesh.
   [Salam, Md Abdus] Bangladesh Agr Res Council, Agr Econ & Rural Sociol Div, Dhaka 1215, Bangladesh.
C3 Bangladesh Agricultural Research Institute (BARI); Bangladesh
   Agricultural University (BAU); East West University Bangladesh;
   Bangladesh Agricultural Research Council (BARC)
RP Rahman, MS (corresponding author), Sher e Ebangla Agr Univ, Dept Management & Finance, Dhaka 1207, Bangladesh.
EM monirecon44@yahoo.com; sadikahaque@bau.edu.bd; akehaque@gmail.com;
   saadrhmn@yahoo.com; saiful_bau_econ@yahoo.com; asalam_36@yahoo.com
RI Rahman, Md. Sadique/AAP-2118-2020
OI Rahman, Md. Sadique/0000-0001-8175-2164; Haque,
   Sadika/0000-0003-3675-275X
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Ahmed Z, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105295
   Ajao A. O., 2011, AGRIS On-line Papers in Economics and Informatics, P3
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ali S, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11030600
   Aliyar Q, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102862
   Ansoglenang G., 2006, MS thesis
   Apata T.G., 2009, C PAPER INT ASS AGR
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Ayanwuyi E., 2010, Int. J. Adv. Res. Manage. Soc. Sci., V1, P273
   Bangladesh Bureau of Statistics (BBS), 2020, YB AGR STAT
   BARI, 2010, Wheat production in Bangladesh: a success story
   Belaineh L., 2013, Asian Journal of Empirical Research, V3, P251
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Chukwukere A. Okezie, 2011, Indian Journal of Agricultural Research, V45, P275
   Cobbinah PB, 2016, CLIM DEV, V8, P169, DOI 10.1080/17565529.2015.1034228
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dhaka B., 2010, LIBYAN AGR RES CTR J, V1, P388
   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]
   Eakin H., 2003, Journal of Environment & Development, V12, P414, DOI 10.1177/1070496503257733
   G.L. Team, 2021, Multinomial logistic regression. Great learning blog: free resources what matters to shape your career!
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Ghosh BC, 2015, J Econ Sustain Dev, V6, P136
   Greene W. H., 2003, Econometric Analysis
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Imran M, 2020, ENVIRON DEV SUSTAIN, V22, P2121, DOI 10.1007/s10668-018-0280-2
   Issahaku G, 2021, CLIM DEV, V13, P736, DOI 10.1080/17565529.2020.1860884
   Issahaku G, 2020, AUST J AGR RESOUR EC, V64, P396, DOI 10.1111/1467-8489.12357
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Kurukulasuriya P., 2008, CEEPA Discussion Paper No. 8
   Maddison D., 2006, The perception of and adaptation to climate change in Africa
   Obayelu OA, 2014, J AGRIC ENVIRON INT, V108, P3, DOI 10.12895/jaeid.20141.140
   Rahman MS, 2023, CLIM POLICY, V23, P1257, DOI 10.1080/14693062.2023.2212638
   Rahman MS, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09490
   Rahman MS, 2020, MAR POLICY, V120, DOI 10.1016/j.marpol.2020.104159
   Roco L, 2014, ENVIRON SCI POLICY, V44, P86, DOI 10.1016/j.envsci.2014.07.008
   Roncoli C, 2002, SOC NATUR RESOUR, V15, P409, DOI 10.1080/08941920252866774
   Sarker MAR, 2014, ECON ANAL POLICY, V44, P405, DOI 10.1016/j.eap.2014.11.004
   Sarker MAR, 2013, INT J CLIM CHANG STR, V5, P382, DOI 10.1108/IJCCSM-06-2012-0033
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Tasnim Z, 2023, ENVIRON SCI POLLUT R, V30, P32839, DOI 10.1007/s11356-022-24478-4
   Uddin M.N., 2017, American Journal of Climate Change, P151, DOI [DOI 10.4236/AJCC.2017.61009, 10.4236/ajcc.2017, DOI 10.4236/AJCC.2017]
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Wang JX, 2010, CLIM CHANG ECON, V1, P167, DOI 10.1142/S2010007810000145
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Zeleke Z., 2017, PhD Dissertation
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 53
TC 3
Z9 3
U1 1
U2 3
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 DEC
PY 2023
VL 14
AR 100873
DI 10.1016/j.jafr.2023.100873
EA NOV 2023
PG 8
WC Agriculture, Multidisciplinary; Food Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Food Science & Technology
GA AO6P1
UT WOS:001119447900001
OA gold
DA 2025-01-10
ER

PT J
AU Gesch, RW
   Berti, MT
   Eberle, CA
   Weyers, SL
AF Gesch, Russ W.
   Berti, Marisol T.
   Eberle, Carrie A.
   Weyers, Sharon L.
TI Relay cropping as an adaptive strategy to cope with climate change
SO AGRONOMY JOURNAL
LA English
DT Article
ID GREENHOUSE-GAS EMISSIONS; LAND-USE CHANGE; NORTHERN GREAT-PLAINS;
   LIFE-CYCLE ASSESSMENT; COVER CROPS; WINTER-WHEAT; WEED MANAGEMENT;
   INTERCROPPING SOYBEANS; PEST-MANAGEMENT; CORN-BELT
AB Climate change and its complex interactions with crops and cropping systems present challenges to agricultural production. Resilient systems that provide food security for a burgeoning population, built by improving crops and developing new alternative cropping systems, are needed to cope with the myriad impacts climate change has on agriculture. Relay cropping is a systems strategy to sustainably intensify crop production and provide environmental benefits. Relay cropping involves interseeding one plant species into an established crop, creating a temporary spatial-temporal overlap of the two crops. This system keeps living plant cover on the agricultural landscape most of the year, which has implications for adapting to and even mitigating climate change impacts. As global warming progresses, land area suitable for relay cropping or producing more than one crop per year will likely expand to more northerly latitudes. The following review specifically focuses on relay cropping, giving examples of how it can potentially improve agricultural system resilience and adaptability to climate change and reduce greenhouse gas emissions, while also addressing potential limitations. More research is needed to improve crop genetics, crop combinations, and management practices best suited for relay cropping to further develop systems that can adapt to changing weed and insect dynamics as well as improve nitrogen and water use under current and future predictions of climate change.
C1 [Gesch, Russ W.; Eberle, Carrie A.; Weyers, Sharon L.] USDA ARS North Cent Soil Conservat Res Lab, Morris, MN USA.
   [Berti, Marisol T.] North Dakota State Univ, Dept Plant Sci, Fargo, ND USA.
   [Gesch, Russ W.] USDA ARS North Cent Soil Conservat Res Lab, 803 Iowa Ave, Morris, MN 56267 USA.
C3 North Dakota State University Fargo
RP Gesch, RW (corresponding author), USDA ARS North Cent Soil Conservat Res Lab, 803 Iowa Ave, Morris, MN 56267 USA.
EM russ.gesch@usda.gov
RI Weyers, Sharon/ABA-6454-2020
OI Berti, Marisol/0000-0002-1910-1632; Weyers, Sharon/0000-0003-3873-7748;
   , Russ/0000-0002-9874-6518
CR Adarsh S., 2019, AGRIC REV, V40, P185, DOI [10.18805/ag.R-1888, DOI 10.18805/AG.R-1888]
   Aguilar J., 2015, PLOS One, V10, pe0136580, DOI DOI 10.1371/JOURNAL.PONE.0136580
   Amossé C, 2013, FIELD CROP RES, V145, P78, DOI 10.1016/j.fcr.2013.02.010
   Asem-Hiablie S, 2019, INT J LIFE CYCLE ASS, V24, P441, DOI 10.1007/s11367-018-1464-6
   Berti M, 2017, AGR SYST, V156, P1, DOI 10.1016/j.agsy.2017.05.012
   Berti M, 2015, IND CROP PROD, V75, P26, DOI 10.1016/j.indcrop.2015.05.012
   Birthisel SK, 2021, WEED RES, V61, P327, DOI 10.1111/wre.12497
   Blackshaw RE, 2010, CAN J PLANT SCI, V90, P479, DOI 10.4141/CJPS10006
   Blanco-Canqui H, 2015, AGRON J, V107, P2449, DOI 10.2134/agronj15.0086
   Boody G, 2005, BIOSCIENCE, V55, P27, DOI 10.1641/0006-3568(2005)055[0027:MAITUS]2.0.CO;2
   Brooker RW, 2015, NEW PHYTOL, V206, P107, DOI 10.1111/nph.13132
   Caviglia OP, 2011, AGRON J, V103, P1081, DOI 10.2134/agronj2011.0019
   Caviglia OP, 2004, FIELD CROP RES, V87, P117, DOI 10.1016/j.fcr.2003.10.002
   Cecchin A, 2021, AGR SYST, V189, DOI 10.1016/j.agsy.2021.103062
   Cecchin A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041696
   Chahal I, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70224-6
   CHAN LM, 1980, AGRON J, V72, P35, DOI 10.2134/agronj1980.00021962007200010008x
   Chen P, 2019, SCI TOTAL ENVIRON, V657, P987, DOI 10.1016/j.scitotenv.2018.11.376
   Costamagna AC, 2006, ECOL APPL, V16, P1619, DOI 10.1890/1051-0761(2006)016[1619:PETCOS]2.0.CO;2
   Costello C, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114004
   Crossley MS, 2021, GLOBAL CHANGE BIOL, V27, P151, DOI 10.1111/gcb.15396
   Cunningham MA, 2022, LAND-BASEL, V11, DOI 10.3390/land11081257
   de Jong S, 2017, BIOTECHNOL BIOFUELS, V10, DOI 10.1186/s13068-017-0739-7
   Drake BG, 1997, ANNU REV PLANT PHYS, V48, P609, DOI 10.1146/annurev.arplant.48.1.609
   Duncan SR, 1997, J PROD AGRIC, V10, P123, DOI 10.2134/jpa1997.0123
   DUNCAN SR, 1990, J PROD AGRIC, V3, P576, DOI 10.2134/jpa1990.0576
   Dunn JB, 2013, BIOTECHNOL BIOFUELS, V6, DOI 10.1186/1754-6834-6-51
   Eberle CA, 2015, IND CROP PROD, V75, P20, DOI 10.1016/j.indcrop.2015.06.026
   Emmett BD, 2022, AGR ECOSYST ENVIRON, V339, DOI 10.1016/j.agee.2022.108136
   Forcella F, 2021, J APPL ENTOMOL, V145, P286, DOI 10.1111/jen.12854
   Franzke CLE, 2020, CLIMATIC CHANGE, V158, P503, DOI 10.1007/s10584-019-02558-8
   Gaudin ACM, 2014, FIELD CROP RES, V155, P192, DOI 10.1016/j.fcr.2013.09.005
   Gesch RW, 2022, IND CROP PROD, V181, DOI 10.1016/j.indcrop.2022.114811
   Gesch RW, 2014, AGRON J, V106, P1735, DOI 10.2134/agronj14.0215
   Gesch RW, 2013, IND CROP PROD, V44, P718, DOI 10.1016/j.indcrop.2012.05.023
   Gesch RW, 2015, AGRON J, V107, P1098, DOI 10.2134/agronj14.0626
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Gregg S, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12091477
   Gurr GM, 2003, BASIC APPL ECOL, V4, P107, DOI 10.1078/1439-1791-00122
   Halsch CA, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2002543117
   Hansel DSS, 2019, AGRON J, V111, P677, DOI 10.2134/agronj2018.06.0371
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Heaton EA, 2013, BIOFUEL BIOPROD BIOR, V7, P702, DOI 10.1002/bbb.1429
   Heggenstaller AH, 2008, AGRON J, V100, P1740, DOI 10.2134/agronj2008.0087
   Hoerning C, 2020, AGRON J, V112, P2485, DOI 10.1002/agj2.20160
   Houghton RA, 2012, BIOGEOSCIENCES, V9, P5125, DOI 10.5194/bg-9-5125-2012
   Jacques S, 1997, EXP AGR, V33, P477, DOI 10.1017/S0014479797004043
   Johnson GA, 2017, AGRON J, V109, P2128, DOI 10.2134/agronj2017.02.0065
   Johnson GA, 2015, AGRON J, V107, P532, DOI 10.2134/agronj14.0292
   Johnson JMF, 2005, SOIL TILL RES, V83, P73, DOI 10.1016/j.still.2005.02.010
   Johnson WG, 2009, EUR J AGRON, V31, P162, DOI 10.1016/j.eja.2009.03.008
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Kladivko EJ, 2014, J SOIL WATER CONSERV, V69, P279, DOI 10.2489/jswc.69.4.279
   Kukal MS, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25212-2
   Lai RQ, 2019, ENTOMOL EXP APPL, V167, P969, DOI 10.1111/eea.12850
   Lal R, 2018, GLOBAL CHANGE BIOL, V24, P3285, DOI 10.1111/gcb.14054
   Lamichhane JR, 2023, FIELD CROP RES, V291, DOI 10.1016/j.fcr.2022.108795
   Landis DA, 2000, ANNU REV ENTOMOL, V45, P175, DOI 10.1146/annurev.ento.45.1.175
   Larsen RJ, 2018, CAN J PLANT SCI, V98, P267, DOI 10.1139/cjps-2017-0278
   Lawrence NC, 2021, P NATL ACAD SCI USA, V118, DOI [10.1073/pnas.2112108118j1of8, 10.1073/pnas.2112108118]
   Leoni F, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00787-3
   Letourneau DK, 2011, ECOL APPL, V21, P9, DOI 10.1890/09-2026.1
   Li X, 2014, SCI TOTAL ENVIRON, V481, P17, DOI 10.1016/j.scitotenv.2014.02.003
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Linquist B, 2012, GLOBAL CHANGE BIOL, V18, P194, DOI 10.1111/j.1365-2486.2011.02502.x
   Lokesh K, 2015, BIOMASS BIOENERG, V77, P26, DOI 10.1016/j.biombioe.2015.03.005
   Lopes T, 2016, PEST MANAG SCI, V72, P2193, DOI 10.1002/ps.4332
   Lu CQ, 2020, COMMUN EARTH ENVIRON, V1, DOI 10.1038/s43247-020-00020-7
   MCBROOM RL, 1981, CROP SCI, V21, P673, DOI 10.2135/cropsci1981.0011183X002100050010x
   Miao QF, 2016, AGR WATER MANAGE, V165, P211, DOI 10.1016/j.agwat.2015.10.024
   Mirsky SB, 2010, WEED RES, V50, P341, DOI 10.1111/j.1365-3180.2010.00792.x
   Mohammed YA, 2022, AGRON J, V114, P2375, DOI 10.1002/agj2.21142
   Mohammed YA, 2022, FOOD ENERGY SECUR, V11, DOI 10.1002/fes3.346
   Mohammed YA, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10091439
   Mohammed YA, 2020, AGRON J, V112, P719, DOI 10.1002/agj2.20062
   MOOMAW RS, 1990, J PROD AGRIC, V3, P569, DOI 10.2134/jpa1990.0569
   Morison JIL, 1999, PLANT CELL ENVIRON, V22, P659, DOI 10.1046/j.1365-3040.1999.00443.x
   Mousavi-Avval SH, 2021, APPL ENERG, V297, DOI 10.1016/j.apenergy.2021.117098
   Myers R, 2015, J SOIL WATER CONSERV, V70, p125A, DOI 10.2489/jswc.70.6.125A
   Nelson KA, 2011, AGRON J, V103, P851, DOI 10.2134/agronj2010.0384
   Nelson KA, 2010, INT J AGRON, V2010, DOI 10.1155/2010/543261
   O'Brien PL, 2022, J ENVIRON QUAL, V51, P683, DOI 10.1002/jeq2.20361
   Ott MA, 2019, AGRON J, V111, P1281, DOI 10.2134/agronj2018.04.0277
   Patel S, 2021, AGRON J, V113, P2629, DOI 10.1002/agj2.20655
   Peterson AT, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9050264
   Pickett JA, 2014, CURR OPIN BIOTECH, V26, P125, DOI 10.1016/j.copbio.2013.12.006
   Plevin RJ, 2010, ENVIRON SCI TECHNOL, V44, P8015, DOI 10.1021/es101946t
   Posen ID, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa60a7
   Raza MA, 2021, ENVIRON SCI POLLUT R, V28, P41135, DOI 10.1007/s11356-021-13541-1
   Rehman S, 2019, J PLANT GROWTH REGUL, V38, P343, DOI 10.1007/s00344-018-9798-7
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Roesch-McNally GE, 2018, GLOBAL ENVIRON CHANG, V48, P206, DOI 10.1016/j.gloenvcha.2017.12.002
   ROOT RB, 1973, ECOL MONOGR, V43, P95, DOI 10.2307/1942161
   Royo-Esnal A, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8100156
   Schepers JS, 2005, Z NATURFORSCH C, V60, P186
   Seifert CA, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024002
   Sindelar AJ, 2017, GCB BIOENERGY, V9, P508, DOI 10.1111/gcbb.12297
   Skendzic S, 2021, INSECTS, V12, DOI 10.3390/insects12050440
   Srinivasan K, 2004, FOOD REV INT, V20, P187, DOI 10.1081/FRI-120037160
   Storkey J, 2021, GLOBAL CHANGE BIOL, V27, P2416, DOI 10.1111/gcb.15585
   Su BY, 2018, CROP SCI, V58, P1729, DOI 10.2135/cropsci2017.11.0670
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taheripour F, 2022, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.790421
   TAHVANAINEN JO, 1972, OECOLOGIA, V10, P321, DOI 10.1007/BF00345736
   Tanveer M, 2017, ENVIRON SCI POLLUT R, V24, P6973, DOI 10.1007/s11356-017-8371-4
   Taylor RAJ, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8010007
   Thorup-Kristensen K., 2003, ADV AGRON, V79, P233
   Tonitto C, 2006, AGR ECOSYST ENVIRON, V112, P58, DOI 10.1016/j.agee.2005.07.003
   U.S. Environmental Protection Agency (EPA), 2022, INV US GREENH GAS EM
   Ur RehmanM., 2013, Scientia Agriculturae, V3, P46
   Vercelli M, 2021, INSECTS, V12, DOI 10.3390/insects12030228
   WALLACE SU, 1992, AGRON J, V84, P968, DOI 10.2134/agronj1992.00021962008400060012x
   Wallace SU, 1996, FIELD CROP RES, V46, P161, DOI 10.1016/0378-4290(95)00009-7
   Weyers S, 2019, J ENVIRON QUAL, V48, P660, DOI 10.2134/jeq2018.09.0350
   Weyers SL, 2021, J ENVIRON QUAL, V50, P158, DOI 10.1002/jeq2.20135
   Wilcox JR, 2001, CROP SCI, V41, P1711, DOI 10.2135/cropsci2001.1711
   Wright CK, 2013, P NATL ACAD SCI USA, V110, P4134, DOI 10.1073/pnas.1215404110
   Wuebbles D.J., 2017, CLIMATE SCI SPECIAL, P470, DOI [DOI 10.7930/J0J964J6, 10.7930/j0j964j6]
   Yang F, 2017, FIELD CROP RES, V203, P16, DOI 10.1016/j.fcr.2016.12.007
   Yang F, 2014, FIELD CROP RES, V155, P245, DOI 10.1016/j.fcr.2013.08.011
   Yong TW, 2018, J INTEGR AGR, V17, P664, DOI [10.1016/S2095-3119(17)61836-7, 10.1016/s2095-3119(17)61836-7]
   Yu Y, 2015, FIELD CROP RES, V184, P133, DOI 10.1016/j.fcr.2015.09.010
   Zanetti F, 2020, FIELD CROP RES, V252, DOI 10.1016/j.fcr.2020.107794
   Zemanek D, 2020, BIOFUEL BIOPROD BIOR, V14, P935, DOI 10.1002/bbb.2125
   Zhang L, 2008, FIELD CROP RES, V107, P29, DOI 10.1016/j.fcr.2007.12.014
   Zhang L, 2007, FIELD CROP RES, V103, P178, DOI 10.1016/j.fcr.2007.06.002
   Zhang ZG, 2022, AGR ECOSYST ENVIRON, V340, DOI 10.1016/j.agee.2022.108188
   Ziska LH, 2016, AGR ECOSYST ENVIRON, V231, P304, DOI 10.1016/j.agee.2016.07.014
   Ziska LH, 2011, CLIMATIC CHANGE, V105, P13, DOI 10.1007/s10584-010-9879-5
   Ziska LH, 2003, J EXP BOT, V54, P395, DOI 10.1093/jxb/erg027
NR 130
TC 2
Z9 3
U1 3
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-1962
EI 1435-0645
J9 AGRON J
JI Agron. J.
PD JUL
PY 2023
VL 115
IS 4
BP 1501
EP 1518
DI 10.1002/agj2.21343
EA MAY 2023
PG 18
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA M2XB9
UT WOS:000983928900001
DA 2025-01-10
ER

PT J
AU Nair, A
   Fischer, ARH
   Moscatelli, S
   Socaciu, C
   Kohl, C
   Stetkiewicz, SS
   Menary, J
   Baekelandt, A
   Nanda, AK
   Jorasch, P
   Davies, JAC
   Wilhelm, R
AF Nair, Abhishek
   Fischer, Arnout R. H.
   Moscatelli, Silvana
   Socaciu, Carmen
   Kohl, Christian
   Stetkiewicz, Stacia S.
   Menary, Jonathan
   Baekelandt, Alexandra
   Nanda, Amrit K.
   Jorasch, Petra
   Davies, Jessica A. C.
   Wilhelm, Ralf
TI European consumer and societal stakeholders' response to crop
   improvements and new plant breeding techniques
SO FOOD AND ENERGY SECURITY
LA English
DT Article
DE acceptability; biotechnology; food security; risk perception
ID CLIMATE-CHANGE; FOOD; DELIBERATION; IMPACTS; DEBATE; RISK; NEED
AB The global demand for providing nutritious, sustainable, and safe diets for a 10 billion population by 2050 while preserving affordability, reducing environmental impacts, and adapting to climate change will require accelerating the transition to sustainable agri-food systems. A plausible way to help tackle these challenges is by developing new plant varieties that have improved crop yield, plant nutritional quality, and sustainability (or resilience) traits. However, stakeholders, consumers, and citizens' concerns and appreciation of future-proofing crops and the acceptability of new plant breeding strategies are not well-established. These groups are actors in the agri-food systems, and their views, values, needs, and expectations are crucial in helping to co-design fair, ethical, acceptable, sustainable, and socially desirable policies on new plant breeding techniques (NPBTs) and the transition to sustainable agri-food systems. In this study, we engaged with consumer experts and societal stakeholders to consider their perceptions, expectations, and acceptability of improving crops and NPBTs for future-proofing the agri-food systems. Our analysis points to a need for governments to take a proactive role in regulating NPBTs, ensure openness and transparency in breeding new crop varieties, and inform consumers about the effects of these breeding programmes and the risks and benefits of the new crop varieties developed. Consumer experts and societal stakeholders considered these strategies necessary to instil confidence in society about NPBTs and accelerate the transition to sustainable agri-food systems.
C1 [Nair, Abhishek; Fischer, Arnout R. H.] Wageningen Univ, Mkt & Consumer Behav Grp, NL-8130 Wageningen, Gelderland, Netherlands.
   [Moscatelli, Silvana] CNR, Dept Biol Agr & FoodSci, Rome, Italy.
   [Socaciu, Carmen] Univ Agr Sci & Vet Med, Dept Chem & Biochem, Cluj Napoca, Romania.
   [Kohl, Christian; Wilhelm, Ralf] Julius Kuhn Inst, Fed Res Ctr Cultivated Plants, Quedlinburg, Germany.
   [Stetkiewicz, Stacia S.; Menary, Jonathan; Davies, Jessica A. C.] Univ Lancaster, Lancaster Environm Ctr, Lancaster, Lancs, England.
   [Stetkiewicz, Stacia S.] Univ Nottingham, Div Agr & Environm Sci, Sutton Bonington Campus, Loughborough, Leics, England.
   [Menary, Jonathan] Univ Oxford, Ctr Trop Med & Global Hlth, Hlth Syst Collaborat, Oxford, England.
   [Baekelandt, Alexandra] Univ Ghent, Dept Plant Biotechnol & Bioinformat, Ghent, Belgium.
   [Baekelandt, Alexandra] VIB UGENT Ctr Plant Syst Biol, Zwijnaarde, Belgium.
   [Nanda, Amrit K.] Plants Future European Technol Platform, Brussels, Belgium.
   [Jorasch, Petra] Euroseeds, Brussels, Belgium.
C3 Wageningen University & Research; Consiglio Nazionale delle Ricerche
   (CNR); University of Agricultural Sciences & Veterinary Medicine Cluj
   Napoca; Julius Kuhn-Institut; Lancaster University; University of
   Nottingham; University of Oxford; Ghent University; Flanders Institute
   for Biotechnology (VIB)
RP Nair, A (corresponding author), Wageningen Univ, Mkt & Consumer Behav Grp, NL-8130 Wageningen, Gelderland, Netherlands.
EM abhishek.nair@wur.nl
RI Fischer, Arnout/B-9589-2009; Socaciu, Carmen/AAX-2579-2020; Stetkiewicz,
   Stacia/KRP-5147-2024; Nair, Abhishek/JAX-3395-2023; Socaciu,
   Carmen/P-8358-2014
OI Stetkiewicz, Stacia/0000-0001-9182-6390; Davies,
   Jessica/0000-0001-9832-7412; Nair, Abhishek/0000-0002-1764-8212; Menary,
   Jonathan/0000-0003-0156-0619; Socaciu, Carmen/0000-0002-7352-5057;
   Wilhelm, Ralf/0000-0001-9045-8792; Fischer, Arnout
   R.H./0000-0003-0474-5336
FU European Union [817690]; H2020 Societal Challenges Programme [817690]
   Funding Source: H2020 Societal Challenges Programme
FX We like to thank Mariana Rufino, Gijs Kleter, Will Sabine, Dorthe
   Krause, and Nick Vangheluwe for their thoughts and feedback on the
   workshops' protocols. The European Union's Horizon 2020 Research and
   Innovation Programme funded this research under grant agreement no.
   817690.
CR Ahmad A., 2021, CRISPR CROPS FUTURE, P261, DOI [10.1007/978-981-15-7142-8_9, DOI 10.1007/978-981-15-7142-8_9]
   Aleksejeva I, 2014, PROCD SOC BEHV, V110, P494, DOI 10.1016/j.sbspro.2013.12.893
   [Anonymous], 2019, Special Eurobarometer - Food Safety in the EU, DOI DOI 10.2805/661752
   Baekelandt A., 2022, PAVING WAY FUT UNPUB
   Bebber DP, 2013, NAT CLIM CHANGE, V3, P985, DOI [10.1038/NCLIMATE1990, 10.1038/nclimate1990]
   Beghin JC, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011348
   Béné C, 2020, FOOD SECUR, V12, P805, DOI 10.1007/s12571-020-01076-1
   Chaloner TM, 2021, NAT CLIM CHANGE, V11, P710, DOI 10.1038/s41558-021-01104-8
   Christiano Tom., 1997, DELIBERATIVE DEMOCRA, P243
   Cornelissen M, 2021, TRENDS BIOTECHNOL, V39, P438, DOI 10.1016/j.tibtech.2020.09.006
   Datta A, 2012, IDS BULL-I DEV STUD, V43, P9, DOI 10.1111/j.1759-5436.2012.00357.x
   Delwaide AC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126060
   *EUR COMM, 2020, SPEC EUR 505
   Fischer A R. H., 2022, Innovation Strategies in the Food Industry, P307, DOI DOI 10.1016/B978-0-323-85203-6.00013-X
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Food and Agriculture Organization, 2009, GLOB AGR 2050
   Giller KE, 2021, FOOD SECUR, V13, P1073, DOI 10.1007/s12571-021-01184-6
   Gojon A, 2023, FOOD ENERGY SECUR, V12, DOI 10.1002/fes3.369
   Hilty J, 2021, NEW PHYTOL, V232, P25, DOI 10.1111/nph.17610
   Lenaerts B, 2019, PLANT SCI, V287, DOI 10.1016/j.plantsci.2019.110207
   Luck M, 2015, FEBS LETT, V589, P1067, DOI 10.1016/j.febslet.2015.03.024
   Machin A, 2020, ENVIRON POLIT, V29, P155, DOI 10.1080/09644016.2019.1684739
   Macq H, 2020, MINERVA, V58, P489, DOI 10.1007/s11024-020-09405-6
   McCouch S, 2013, NATURE, V499, P23, DOI 10.1038/499023a
   Menary J., 2021, EMERALD OPEN RES, V3, P1, DOI [DOI 10.35241/EMERALDOPENRES.14163.2, https://doi.org/10.35241/emeraldopenres.14163.2, DOI 10.35241/EMERALDOPENRES.14163.1]
   Mitter H, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102159
   Murrell EG, 2017, CURR OPIN INSECT SCI, V23, P81, DOI 10.1016/j.cois.2017.07.008
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Nielsen CP, 2001, WELTWIRTSCH ARCH, V137, P320, DOI 10.1007/BF02707268
   Owens S, 2000, ENVIRON PLANN A, V32, P1141, DOI 10.1068/a3330
   Pei L, 2019, CURR OPIN BIOTECH, V56, P43, DOI 10.1016/j.copbio.2018.08.012
   Phelps J, 2013, P NATL ACAD SCI USA, V110, P7601, DOI 10.1073/pnas.1220070110
   Popek S, 2017, INT J CONSUM STUD, V41, P325, DOI 10.1111/ijcs.12345
   Pretty J, 2018, NAT SUSTAIN, V1, P441, DOI 10.1038/s41893-018-0114-0
   Rasmussen LV, 2018, NAT SUSTAIN, V1, P275, DOI 10.1038/s41893-018-0070-8
   Ritchie J., 2014, QUALITATIVE RES PRAC, VSecond
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Scharff LB, 2022, FOOD ENERGY SECUR, V11, DOI 10.1002/fes3.327
   Schipanski ME, 2016, BIOSCIENCE, V66, P600, DOI 10.1093/biosci/biw052
   Scholderer J, 2005, J PUBLIC AFF, V5, P263, DOI 10.1002/pa.27
   Scientific Foresight Unit, 2021, REGULATING GENOME ED, DOI [10.2861/618230, DOI 10.2861/618230]
   Scrieciu S. S., 2011, Socioeconomic and environmental impacts on agriculture in the new Europe: post-communist transition and accession to the European Union
   Shew AM, 2018, GLOB FOOD SECUR-AGR, V19, P71, DOI 10.1016/j.gfs.2018.10.005
   Siipi H, 2015, J AGR ENVIRON ETHIC, V28, P807, DOI 10.1007/s10806-015-9568-5
   Solomon S, 2012, HASTINGS CENT REP, V42, P17, DOI 10.1002/hast.27
   Srivastava A, 2009, J Adm Gov, V4, P72
   Stetkiewicz S., 2022, FOOD SYSTEM AC UNPUB
   Stetkiewicz S, 2023, FOOD ENERGY SECUR, V12, DOI 10.1002/fes3.362
   Tilman D, 1999, P NATL ACAD SCI USA, V96, P5995, DOI 10.1073/pnas.96.11.5995
   TOBEY J, 1992, J AGR RESOUR ECON, V17, P195
   Turnbull C, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.630396
   van Dijk M, 2021, NAT FOOD, V2, P494, DOI 10.1038/s43016-021-00322-9
   van Meijl H., 2017, CHALLENGES GLOBAL AG, DOI [10.2760/772445, DOI 10.2760/772445]
   Varshney RK, 2021, NAT BIOTECHNOL, V39, P1179, DOI 10.1038/s41587-021-01079-z
   Vos R, 2019, SUSTAINABLE FOOD AND AGRICULTURE: AN INTEGRATED APPROACH, P11, DOI 10.1016/B978-0-12-812134-4.00002-9
   Wiebe K, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085010
NR 56
TC 6
Z9 6
U1 4
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2048-3694
J9 FOOD ENERGY SECUR
JI Food Energy Secur.
PD JAN
PY 2023
VL 12
IS 1
AR e417
DI 10.1002/fes3.417
EA SEP 2022
PG 18
WC Agronomy; Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Food Science & Technology
GA 8P4FR
UT WOS:000861808600001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kupper, P
   Rohula-Okunev, G
   Tullus, A
   Tulva, I
   Merilo, E
   Sellin, A
AF Kupper, Priit
   Rohula-Okunev, Gristin
   Tullus, Arvo
   Tulva, Ingmar
   Merilo, Ebe
   Sellin, Arne
TI Long-term effect of elevated air humidity on seasonal variability in
   diurnal leaf conductance and gas exchange in silver birch
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE abscisic acid; global climate change; leaf senescence; night-time;
   photoperiod
ID STOMATAL CONDUCTANCE; QUERCUS-RUBRA; TEMPERATURE; RESPIRATION; CO2;
   TRANSPIRATION; ACCLIMATION; SENESCENCE; FREQUENCY; RESPONSES
AB Environmental conditions and photoperiod length drive the seasonal variability of gas exchange in plants. Still, little is known about trees' adaptation to climate change, expressed as a delay in decreasing photosynthetic capacity at the end of the growing season. We investigated the effect of elevated air humidity (RH) and sampling period (from July to September) on the variability of net photosynthesis (An), dark respiration (R), daytime (gl_day) and night-time (gl_night) leaf conductance, an index of leaf chlorophyll content (SPAD), and An:SPAD ratio in cut shoots of silver birch (Betula pendula Roth). Measurements of cut shoots were conducted in a climate chamber to eliminate the direct effect of field conditions. The An, An:SPAD ratio, and gl_day were higher in the humidification treatment (H) than in the control (C) (P < 0.05) in autumn. The R was higher in the control than in the humidification treatment across the study period. The gl_night increased considerably in September in both treatments (P < 0.05) and was significantly correlated with R. Our findings suggest that autumnal leaf conductance and gas exchange in silver birch are considerably influenced by long-term exposure to elevated RH and are probably related to a complex of leaf senescence processes, including nitrogen retranslocation.
C1 [Kupper, Priit; Rohula-Okunev, Gristin; Tullus, Arvo; Sellin, Arne] Univ Tartu, Inst Ecol & Earth Sci, EE-50409 Tartu, Estonia.
   [Tulva, Ingmar; Merilo, Ebe] Univ Tartu, Inst Technol, EE-51005 Tartu, Estonia.
C3 University of Tartu; Tartu University Institute of Ecology & Earth
   Sciences; University of Tartu
RP Kupper, P (corresponding author), Univ Tartu, Inst Ecol & Earth Sci, EE-50409 Tartu, Estonia.
EM Priit.Kupper@ut.ee
RI Tullus, Arvo/A-8680-2010
OI Tullus, Arvo/0000-0002-5945-7967
FU Estonian Research Council [PUT1350, PRG1620, PRG1434]; European
   Commission [101000406]
FX This study was supported by personal research grants PUT1350 (personal
   research costs of PK and GRO), PRG1620 (personal research costs of EM),
   and PRG1434 (personal research costs of AS and AT) fromthe Estonian
   Research Council, and ONEforest project. ONEforest project receives
   funding fromthe European Commission's Horizon 2020 programme under grant
   agreement No. 101000406.
CR Atkin OK, 2000, PLANT CELL ENVIRON, V23, P15, DOI 10.1046/j.1365-3040.2000.00511.x
   Awada T, 2003, TREE PHYSIOL, V23, P33, DOI 10.1093/treephys/23.1.33
   Bauerle WL, 2012, P NATL ACAD SCI USA, V109, P8612, DOI 10.1073/pnas.1119131109
   Betts AK, 2014, J GEOPHYS RES-ATMOS, V119, P13305, DOI 10.1002/2014JD022511
   Busuioc A, 2016, INT J CLIMATOL, V36, P2015, DOI 10.1002/joc.4477
   Caird MA, 2007, PLANT PHYSIOL, V143, P4, DOI 10.1104/pp.106.092940
   COLLIER DE, 1995, TREE PHYSIOL, V15, P759, DOI 10.1093/treephys/15.11.759
   Diffenbaugh NS, 2013, SCIENCE, V341, P486, DOI 10.1126/science.1237123
   Dorokhov YL, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01623
   Fanourakis D, 2020, PLANT PHYSIOL BIOCH, V153, P92, DOI 10.1016/j.plaphy.2020.05.024
   Fricke W, 2019, TRENDS PLANT SCI, V24, P311, DOI 10.1016/j.tplants.2019.01.007
   Godbold D, 2014, ANN FOREST SCI, V71, P831, DOI 10.1007/s13595-014-0382-4
   Gonzàlez-Meler MA, 1999, TREE PHYSIOL, V19, P253
   Granda E, 2020, PLANT CELL ENVIRON, V43, P28, DOI 10.1111/pce.13665
   Guo YF, 2021, MOL HORTIC, V1, DOI 10.1186/s43897-021-00006-9
   Hassidim M, 2017, PLANT PHYSIOL, V175, P1864, DOI 10.1104/pp.17.01214
   Hoch WA, 2001, TREE PHYSIOL, V21, P1
   Horak H, 2017, PLANT PHYSIOL, V174, P672, DOI 10.1104/pp.17.00120
   Hüve K, 2007, J EXP BOT, V58, P1783, DOI 10.1093/jxb/erm038
   Kangur O, 2021, FUNCT PLANT BIOL, V48, P483, DOI 10.1071/FP20091
   Kollist T, 2007, PHYSIOL PLANTARUM, V129, P796, DOI 10.1111/j.1399-3054.2006.00851.x
   Kupper P, 2021, FUNCT PLANT BIOL, V48, P422, DOI 10.1071/FP20254
   Kupper P, 2018, ECOHYDROLOGY, V11, DOI 10.1002/eco.1927
   Kupper P, 2011, ENVIRON EXP BOT, V72, P432, DOI 10.1016/j.envexpbot.2010.09.003
   Li J, 2019, PLANT SIGNAL BEHAV, V14, DOI 10.1080/15592324.2019.1682341
   Lihavainen J, 2016, J EXP BOT, V67, P4367, DOI 10.1093/jxb/erw219
   Marks CO, 2007, TREE PHYSIOL, V27, P577, DOI 10.1093/treephys/27.4.577
   Costa JM, 2015, PLANT PHYSIOL, V167, P289, DOI 10.1104/pp.114.253369
   Mozaffar A, 2018, ATMOS ENVIRON, V176, P71, DOI 10.1016/j.atmosenv.2017.12.020
   Nejad AR, 2005, PHYSIOL PLANTARUM, V125, P324, DOI 10.1111/j.1399-3054.2005.00567.x
   Parts K, 2013, FOREST ECOL MANAG, V310, P720, DOI 10.1016/j.foreco.2013.09.017
   Pieruschka R, 2010, P NATL ACAD SCI USA, V107, P13372, DOI 10.1073/pnas.0913177107
   Possen BJHM, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3520
   R Core Team, 2020, A language and environment for statistical computing, DOI 10.1038/s41598-021-86749-3
   de Dios VR, 2016, PLANT CELL ENVIRON, V39, P3, DOI 10.1111/pce.12598
   Rosenvald K, 2020, OECOLOGIA, V193, P449, DOI 10.1007/s00442-020-04688-8
   Rosenvald K, 2014, FOREST ECOL MANAG, V330, P252, DOI 10.1016/j.foreco.2014.07.016
   Rosenvald K, 2021, SCI TOTAL ENVIRON, V796, DOI 10.1016/j.scitotenv.2021.148917
   Sakakibara H, 2006, TRENDS PLANT SCI, V11, P440, DOI 10.1016/j.tplants.2006.07.004
   Scoccimarro E, 2015, J CLIMATE, V28, P6193, DOI 10.1175/JCLI-D-14-00779.1
   Sellin A, 2017, REG ENVIRON CHANGE, V17, P2135, DOI 10.1007/s10113-016-1042-z
   Sellin A, 2013, ECOL RES, V28, P523, DOI 10.1007/s11284-013-1041-1
   Stinziano JR, 2017, PLANT CELL ENVIRON, V40, P1296, DOI 10.1111/pce.12917
   Thioune EH, 2017, TREE PHYSIOL, V37, P367, DOI 10.1093/treephys/tpw129
   Truu M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00557
   Tullus A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042648
   Tylewicz S, 2018, SCIENCE, V360, P212, DOI 10.1126/science.aan8576
   Westra S, 2014, REV GEOPHYS, V52, P522, DOI 10.1002/2014RG000464
   Xiao MZ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9967
   Xu CY, 2006, FUNCT ECOL, V20, P778, DOI 10.1111/j.1365-2435.2006.01161.x
   Zhang KW, 2012, PLANT J, V69, P667, DOI 10.1111/j.1365-313X.2011.04821.x
   Zhao HX, 2009, PLANT CELL ENVIRON, V32, P1401, DOI 10.1111/j.1365-3040.2009.02007.x
   Zhu GF, 2011, TREE PHYSIOL, V31, P178, DOI 10.1093/treephys/tpr005
NR 53
TC 3
Z9 3
U1 2
U2 13
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 MAY
PY 2022
VL 52
IS 5
BP 696
EP 703
DI 10.1139/cjfr-2021-0236
EA JAN 2022
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 2O3CG
UT WOS:000788467200001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Gao, YH
   Yang, QS
   Yan, XH
   Wu, XY
   Yang, F
   Li, JZ
   Wei, J
   Ni, JB
   Ahmad, M
   Bai, SL
   Teng, YW
AF Gao, Yuhao
   Yang, Qinsong
   Yan, Xinhui
   Wu, Xinyue
   Yang, Feng
   Li, Jianzhao
   Wei, Jia
   Ni, Junbei
   Ahmad, Mudassar
   Bai, Songling
   Teng, Yuanwen
TI High-quality genome assembly of 'Cuiguan' pear (<i>Pyrus pyrifolia</i>)
   as a reference genome for identifying regulatory genes and epigenetic
   modifications responsible for bud dormancy
SO HORTICULTURE RESEARCH
LA English
DT Article
ID MADS-BOX GENES; HISTONE MODIFICATIONS; TRANSCRIPTION FACTORS;
   ENDODORMANCY; CLASSIFICATION; ANNOTATION; EXPRESSION; RELEASE;
   IDENTIFICATION; PREDICTION
AB Dormancy-associated MADS-box (DAM) genes serve as crucial regulators of the endodormancy cycle in rosaceous plants. Although pear DAM genes have been identified previously, the lack of a high-quality reference genome and techniques to study gene function have prevented accurate genome-wide analysis and functional verification of such genes. Additionally, the contribution of other genes to the regulation of endodormancy release remains poorly understood. In this study, a high-quality genome assembly for 'Cuiguan' pear (Pyrus pyrifolia), which is a leading cultivar with a low chilling requirement cultivated in China, was constructed using PacBio and Hi-C technologies. Using this genome sequence, we revealed that pear DAM genes were tandemly clustered on Chr8 and Chr15 and were differentially expressed in the buds between 'Cuiguan' and the high-chilling-requirement cultivar 'Suli' during the dormancy cycle. Using a virus-induced gene silencing system, we determined the repressive effects of DAM genes on bud break. Several novel genes potentially involved in the regulation of endodormancy release were identified by RNA sequencing and H3K4me3 chromatin immunoprecipitation sequencing analyses of 'Suli' buds during artificial chilling using the new reference genome. Our findings enrich the knowledge of the regulatory mechanism underlying endodormancy release and chilling requirements and provide a foundation for the practical regulation of dormancy release in fruit trees as an adaptation to climate change.
C1 [Gao, Yuhao; Yang, Qinsong; Yan, Xinhui; Wu, Xinyue; Yang, Feng; Li, Jianzhao; Wei, Jia; Ni, Junbei; Ahmad, Mudassar; Bai, Songling; Teng, Yuanwen] Zhejiang Univ, Coll Agr & Biotechnol, Hangzhou 310058, Zhejiang, Peoples R China.
   [Yang, Qinsong] Beijing Forestry Univ, Key Lab Silviculture & Conservat, Minist Educ, Beijing 100083, Peoples R China.
   [Li, Jianzhao] Ludong Univ, Coll Agr, Yantai 264025, Shandong, Peoples R China.
   [Teng, Yuanwen] Zhejiang Univ, Hainan Inst, Sanya 572000, Hainan, Peoples R China.
C3 Zhejiang University; Beijing Forestry University; Ludong University;
   Zhejiang University
RP Bai, SL (corresponding author), Zhejiang Univ, Coll Agr & Biotechnol, Hangzhou 310058, Zhejiang, Peoples R China.
EM songlingbai@zju.edu.cn
RI Teng, Yuanwen/A-3515-2015; YANG, FENG/IVU-9885-2023; Bai,
   Songling/X-9850-2019; Ni, Junbei/GXN-0224-2022
OI Teng, Yuanwen/0000-0001-8656-9035; Yang, Qinsong/0000-0002-9895-1917;
   Bai, Songling/0000-0002-8103-3095; Li, Jianzhao/0000-0002-6727-2890
FU National Key Research and Developmental Program of China
   [2018YFD1000104]; Earmarked Fund for China Agriculture Research System
   [CARS-28]; Specialized Research Fund for Major Science and Technique of
   Zhejiang Province of China [2016C02052-4, 2018C02011]
FX This work was supported by the National Key Research and Developmental
   Program of China (2018YFD1000104), the Earmarked Fund for China
   Agriculture Research System (CARS-28), and the Specialized Research Fund
   for Major Science and Technique of Zhejiang Province of China
   (2016C02052-4 and 2018C02011).
CR Ahmad M, 2018, BMC PLANT BIOL, V18, DOI 10.1186/s12870-018-1427-x
   Azeez A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21449-0
   Bai SL, 2019, PLANT BIOTECHNOL J, V17, P1985, DOI 10.1111/pbi.13114
   Bao L, 2008, SCI HORTIC-AMSTERDAM, V116, P374, DOI 10.1016/j.scienta.2008.02.008
   Bielenberg DG, 2008, TREE GENET GENOMES, V4, P495, DOI 10.1007/s11295-007-0126-9
   Blanco Enrique, 2007, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0403s18
   Burge C, 1997, J MOL BIOL, V268, P78, DOI 10.1006/jmbi.1997.0951
   Burton JN, 2013, NAT BIOTECHNOL, V31, P1119, DOI 10.1038/nbt.2727
   Chang S. J., 1993, Plant Molecular Biology Reporter, V11, P113, DOI 10.1007/BF02670468
   Dong XG, 2020, PLANT BIOTECHNOL J, V18, P581, DOI 10.1111/pbi.13226
   Edgar RC, 2005, BIOINFORMATICS, V21, pI152, DOI 10.1093/bioinformatics/bti1003
   Edger PP, 2017, GIGASCIENCE, V7, DOI 10.1093/gigascience/gix124
   Santamaría ME, 2011, ANN BOT-LONDON, V108, P485, DOI 10.1093/aob/mcr185
   [封雷 Feng Lei], 2013, [中国农学通报, Chinese Agricultural Science Bulletin], V29, P94
   Ferrero LV, 2019, PLANT CELL PHYSIOL, V60, P1633, DOI 10.1093/pcp/pcz137
   Gabay G, 2019, J EXP BOT, V70, P1017, DOI 10.1093/jxb/ery405
   Haas BJ, 2003, NUCLEIC ACIDS RES, V31, P5654, DOI 10.1093/nar/gkg770
   Haas BJ, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-1-r7
   Han YJ, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq862
   Hao L, 2020, PLANT SCI, V293, DOI 10.1016/j.plantsci.2020.110419
   Haring M, 2007, PLANT METHODS, V3, DOI 10.1186/1746-4811-3-11
   Ito A, 2018, TREE PHYSIOL, V38, P825, DOI 10.1093/treephys/tpx169
   Jiang S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149192
   Jiménez S, 2010, PLANT MOL BIOL, V73, P157, DOI 10.1007/s11103-010-9608-5
   Keilwagen J, 2016, NUCLEIC ACIDS RES, V44, DOI 10.1093/nar/gkw092
   Kolonin MG, 2000, DEV BIOL, V227, P661, DOI 10.1006/dbio.2000.9916
   Koren S, 2017, GENOME RES, V27, P722, DOI 10.1101/gr.215087.116
   Korf I, 2004, BMC BIOINFORMATICS, V5, DOI 10.1186/1471-2105-5-59
   Kumar L, 2007, BIOINFORMATION, V2, P5, DOI 10.6026/97320630002005
   Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
   LANG GA, 1987, HORTSCIENCE, V22, P371
   Lee S, 2006, PLANT CELL PHYSIOL, V47, P591, DOI 10.1093/pcp/pcj026
   Legave JM, 2013, INT J BIOMETEOROL, V57, P317, DOI 10.1007/s00484-012-0551-9
   Leida C, 2012, NEW PHYTOL, V193, P67, DOI 10.1111/j.1469-8137.2011.03863.x
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li JZ, 2019, PLANT MOL BIOL, V99, P575, DOI 10.1007/s11103-019-00837-7
   Li JZ, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19010310
   Li S, 2019, PLANT CELL, V31, P663, DOI 10.1105/tpc.18.00437
   Li W, 2014, NAT PROTOC, V9, P2180, DOI 10.1038/nprot.2014.146
   Linsmith G, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giz138
   Liu GQ, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-700
   Majoros WH, 2004, BIOINFORMATICS, V20, P2878, DOI 10.1093/bioinformatics/bth315
   Niu QF, 2016, J EXP BOT, V67, P239, DOI 10.1093/jxb/erv454
   Ou CQ, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0291-3
   Ou SJ, 2018, NUCLEIC ACIDS RES, V46, DOI 10.1093/nar/gky730
   Price AL, 2005, BIOINFORMATICS, V21, pI351, DOI 10.1093/bioinformatics/bti1018
   Raymond O, 2018, NAT GENET, V50, P772, DOI 10.1038/s41588-018-0110-3
   Rinne PLH, 2011, PLANT CELL, V23, P130, DOI 10.1105/tpc.110.081307
   Saito T, 2015, TREE PHYSIOL, V35, P653, DOI 10.1093/treephys/tpv043
   Saito T, 2015, PLANT CELL ENVIRON, V38, P1157, DOI 10.1111/pce.12469
   Saito T, 2013, TREE PHYSIOL, V33, P654, DOI 10.1093/treephys/tpt037
   Sasaki R, 2011, PLANT PHYSIOL, V157, P485, DOI 10.1104/pp.111.181982
   Sato S, 2012, NATURE, V485, P635, DOI 10.1038/nature11119
   Seppey M, 2019, METHODS MOL BIOL, V1962, P227, DOI 10.1007/978-1-4939-9173-0_14
   Servant N, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0831-x
   Shao YL, 2019, PLANT CELL, V31, P1257, DOI 10.1105/tpc.19.00038
   Singh RK, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06696-y
   Stanke M, 2003, BIOINFORMATICS, V19, pII215, DOI 10.1093/bioinformatics/btg1080
   Teng Y, 2004, ACTA HORTIC, P175, DOI 10.17660/ActaHortic.2004.634.21
   Tian JX, 2016, J EXP BOT, V67, P2467, DOI 10.1093/jxb/erw057
   Tylewicz S, 2018, SCIENCE, V360, P212, DOI 10.1126/science.aan8576
   Ubi BE, 2010, J AM SOC HORTIC SCI, V135, P174, DOI 10.21273/JASHS.135.2.174
   VanBuren R, 2018, GIGASCIENCE, V7, DOI 10.1093/gigascience/giy094
   Verde I, 2013, NAT GENET, V45, P487, DOI 10.1038/ng.2586
   Vimont N, 2020, TREE GENET GENOMES, V16, DOI 10.1007/s11295-019-1395-9
   Wicker T, 2007, NAT REV GENET, V8, P973, DOI 10.1038/nrg2165
   Wu J, 2013, GENOME RES, V23, P396, DOI 10.1101/gr.144311.112
   Wu RM, 2019, PLANT SCI, V281, P242, DOI 10.1016/j.plantsci.2018.12.001
   Wu RM, 2017, FRONT PLANT SCI, V8, DOI [10.3389/fpls.2017.00477, 10.3389/fpsyg.2017.00843]
   Xu Z, 2007, NUCLEIC ACIDS RES, V35, pW265, DOI 10.1093/nar/gkm286
   Yamane H, 2014, J JPN SOC HORTIC SCI, V83, P187, DOI 10.2503/jjshs1.CH-Rev4
   Yang QS, 2020, PLANT CELL ENVIRON, V43, P1360, DOI 10.1111/pce.13744
   Yang QS, 2019, ENVIRON EXP BOT, V162, P302, DOI 10.1016/j.envexpbot.2019.03.008
   Yue XY, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00591
   Zhang LY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09518-x
   Zhu H, 2020, HORTIC RES-ENGLAND, V7, DOI 10.1038/s41438-020-0336-y
NR 76
TC 57
Z9 63
U1 5
U2 89
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2662-6810
EI 2052-7276
J9 HORTIC RES-ENGLAND
JI Hortic. Res.-England
PD DEC
PY 2021
VL 8
IS 1
AR 197
DI 10.1038/s41438-021-00632-w
PG 16
WC Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Genetics & Heredity; Agriculture
GA UM4RT
UT WOS:000693319800004
PM 34465760
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Haro, A
   Mendoza-Ponce, A
   Calderón-Bustamante, O
   Velasco, JA
   Estrada, F
AF Haro, Abi
   Mendoza-Ponce, Alma
   Calderon-Bustamante, Oscar
   Velasco, Julian A.
   Estrada, Francisco
TI Evaluating Risk and Possible Adaptations to Climate Change Under a
   Socio-Ecological System Approach
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE socio-ecological system; maize; risk assessment; Mexico; climate change
ID RAIN-FED MAIZE; FOOD SECURITY; VULNERABILITY; LANDRACES; IMPACTS;
   SUITABILITY; RESILIENCE; MANAGEMENT; POLICY; MEXICO
AB Evidence suggests that climate change could drastically reduce Mexico's agricultural productivity with severe socio-ecological consequences. Population growth and the increasing demand of resources will exacerbate these impacts. Focusing on rainfed maize production, we evaluate the socio-ecological risk that municipalities currently face and how climate change could modify it. Municipalities were classified based on their biophysical and socioeconomic traits like temperature, precipitation, population, gross domestic product, marginalization, and agricultural subsidies. The study identifies municipalities that would face higher risk under climate change conditions, and it evaluates whether increases in agricultural subsidies could be effective for reducing the farmers' future risk. Our results show that during the 2010's, 36.8% of the municipalities and 15% of the population were at very high and high risk, respectively. By 2070, under a high-warming scenario these figures increase to 56.5 and 18.5%. We find that a generalized augment in agricultural subsidies is not enough to compensate for the effects of climate change on the socio-ecological risk of rainfed maize producers. We suggest that transformative adaptation is required for managing the agricultural risk that socio-ecological systems experience under climate change conditions. Such adaptation strategies should include poverty alleviation, promotion of resistant and native varieties of crops, capacity building to improve management and water use, sustainable technification, and soil restoration.
C1 [Haro, Abi] Univ Nacl Autonoma Mexivo UNAM, Lab Nacl Ciencias Sostenibil LANCIS, Inst Ecol, Mexico City, Mexico.
   [Mendoza-Ponce, Alma; Calderon-Bustamante, Oscar; Velasco, Julian A.; Estrada, Francisco] Univ Nacl Autonoma Mexico, Ctr Ciencias Atmosfera, Mexico City, Mexico.
   [Mendoza-Ponce, Alma] Int Inst Appl Syst Anal, Agr Forestry & Ecosyst Serv Res, Laxenburg, Austria.
   [Estrada, Francisco] Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands.
   [Estrada, Francisco] Univ Nacl Autonoma Mexico, Programa Invest Cambio Climat PINCC, Mexico City, Mexico.
C3 Universidad Nacional Autonoma de Mexico; International Institute for
   Applied Systems Analysis (IIASA); Vrije Universiteit Amsterdam;
   Universidad Nacional Autonoma de Mexico
RP Estrada, F (corresponding author), Univ Nacl Autonoma Mexico, Ctr Ciencias Atmosfera, Mexico City, Mexico.; Estrada, F (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands.; Estrada, F (corresponding author), Univ Nacl Autonoma Mexico, Programa Invest Cambio Climat PINCC, Mexico City, Mexico.
EM feporrua@atmosfera.unam.mx
RI Velasco, Julian/AAG-1791-2019; Calderón-Bustamante, Oscar/AEO-0771-2022
OI Calderon-Bustamante, Oscar/0000-0002-0715-6871
FU UNAM-DGAPA [IN111221, IT200618]; PINCC-UNAM project grants 2020
FX This work was supported by UNAM-DGAPA Grant No. IN111221 and IT200618.
   JV acknowledges support from PINCC-UNAM project grants 2020. AM-P
   acknowledges support from UNAM-DGAPA.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Pontifes PA, 2018, ATMOSFERA, V31, P355, DOI [10.20937/atm.2018.31.04.04, 10.20937/ATM.2018.31.04.04]
   [Anonymous], 2002, Principal Component Analysis
   [Anonymous], 2010, SUBSIDIOS DESIGUALDA
   Appendini K, 2014, J AGRAR CHANGE, V14, P1, DOI 10.1111/joac.12013
   Bellon MR, 2011, WORLD DEV, V39, P1434, DOI 10.1016/j.worlddev.2010.12.010
   Bellon MR, 2021, FOOD SECUR, V13, P39, DOI 10.1007/s12571-020-01134-8
   Bellon MR, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.1049
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Brush SB, 2007, AGR ECOSYST ENVIRON, V121, P211, DOI 10.1016/j.agee.2006.12.018
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   Challenger A., 1998, Utilizacion y conservacion de los ecosistemas terrestres de Mexico: pasado presente y futuro
   Cohen-Shacham E., 2016, Nature-based solutions to address societal challenges, DOI 10.2305/IUCN.CH.2016.13.en
   Cohn AS, 2016, NAT CLIM CHANGE, V6, P601, DOI [10.1038/nclimate2934, 10.1038/NCLIMATE2934]
   CONABIO, 2012, ACT EC MEX MUN 2010, V1, P250000
   CONAPO, 2010, IND MARG MUN, P54
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Donatti CI, 2019, CLIM DEV, V11, P264, DOI 10.1080/17565529.2018.1442796
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin H, 2018, ANTHROPOCENE, V23, P43, DOI 10.1016/j.ancene.2018.08.002
   Eakin H, 2014, DEV CHANGE, V45, P133, DOI 10.1111/dech.12074
   Eakin H, 2014, J AGRAR CHANGE, V14, P26, DOI 10.1111/joac.12005
   Elmqvist T., 2013, A global assessment, P13, DOI [DOI 10.1007/978-94-007-7088-1, 10.1007/978-94-007-7088-1]
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Estrada F, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00025
   Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710
   Everingham Y, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0364-z
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fedele G, 2020, ECOL SOC, V25, DOI 10.5751/ES-11381-250125
   Feng Shuaizhang., 2015, Weather Anomalies, Crop Yields, and Migration in the US Corn Belt
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fox Jonathan., 2010, Subsidios para la desigualdad: las politicas publicas del maiz en Mexico a partir del libre comercio
   Fuller Anthony, 2015, Ecosystem Health and Sustainability, V1, P6, DOI 10.1890/EHS14-0007.1
   Harman H.H., 1976, Modern factor analysis
   Hastie T., 2001, The Elements of statistical learning: data mining, inference and prediction, DOI DOI 10.1007/BF02985802
   Hellin J, 2014, J CROP IMPROV, V28, P484, DOI 10.1080/15427528.2014.921800
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   INECC, 2019, CRIT MON EV MED AD C
   INEGI, 2015, PIB CUENT NAC MEX
   INEGI, 2020, Censo de Poblacion y Vivienda 2020
   Jeong JH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156571
   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
   Johnson R. A., 2007, Applied Multivariate Statistical Analysis, VSixth edition
   Jolliffe I.T., 1986, Principal component analysis, VSecond
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leichenko R, 2014, WIRES CLIM CHANGE, V5, P539, DOI 10.1002/wcc.287
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   López-Blanco J, 2018, OUTLOOK AGR, V47, P181, DOI 10.1177/0030727018794973
   Losada H., 2011, URBAN AGR METROPOLIT
   Maass M, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00048
   Ramos APM, 2020, COMPUT ELECTRON AGR, V178, DOI 10.1016/j.compag.2020.105791
   Galeana-Pizaña JM, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103091
   Mercer KL, 2012, GLOBAL ENVIRON CHANG, V22, P495, DOI 10.1016/j.gloenvcha.2012.01.003
   Rivas AIM, 2011, ATMOSFERA, V24, P53
   Moreno T. A., 2011, COPING GLOBAL ENV CH, P875, DOI [10.1007/978-3-642-17776-7_51, DOI 10.1007/978-3-642-17776-7_51]
   Murray-Tortarolo GN, 2018, AGR FOREST METEOROL, V253, P124, DOI 10.1016/j.agrformet.2018.02.011
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   NESMITH DS, 1992, FIELD CROP RES, V29, P23, DOI 10.1016/0378-4290(92)90073-I
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   OECD, 2005, ENV HARMF SUBS CHALL
   OLENIC EA, 1988, MON WEATHER REV, V116, P1682, DOI 10.1175/1520-0493(1988)116<1682:PCITUO>2.0.CO;2
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Perales H, 2003, ECON BOT, V57, P7, DOI 10.1663/0013-0001(2003)057[0007:LOMICM]2.0.CO;2
   Perales H, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0114657
   Pingali P, 2007, AGR ECON-BLACKWELL, V37, P1, DOI 10.1111/j.1574-0862.2007.00231.x
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Ray DK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217148
   Reardon T, 2007, AGR ECON-BLACKWELL, V37, P173, DOI 10.1111/j.1574-0862.2007.00243.x
   Rivera-Ferre MG, 2013, SUSTAINABILITY-BASEL, V5, P3858, DOI 10.3390/su5093858
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Corral JAR, 2008, CROP SCI, V48, P1502, DOI 10.2135/cropsci2007.09.0518
   Salvo M. de, 2013, Journal of Development and Agricultural Economics, V5, P499, DOI 10.5897/JDAE2013.0519
   Scarano FR, 2017, PERSPECT ECOL CONSER, V15, P65, DOI 10.1016/j.pecon.2017.05.003
   SIAP, 2018, SIST INF AGR CONS SI
   SNIM, 2013, BAS DAT PIB MUN 2005
   Stevens T, 2016, SCI REP-UK, V6, DOI 10.1038/srep36241
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Ureta C, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102697
   Ureta C, 2012, GLOBAL CHANGE BIOL, V18, P1073, DOI 10.1111/j.1365-2486.2011.02607.x
   Valentín-Garrido José Miguel, 2016, Rev. Mex. Cienc. Agríc, V7, P413
   Wamsler C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08266-210131
   Wilks DS., 2011, Statistical Methods in the Atmospheric Sciences, DOI [10.1016/S1572-0934(11)04009-1, DOI 10.1016/S1572-0934(11)04009-1]
   Zarazua-Escobar JA, 2011, AGRIC SOC DESARRO, V8, P89
NR 88
TC 7
Z9 7
U1 4
U2 17
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD JUN 10
PY 2021
VL 3
AR 674693
DI 10.3389/fclim.2021.674693
PG 16
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA L4WD3
UT WOS:001023275800001
OA gold
DA 2025-01-10
ER

PT J
AU Jafroudi, M
AF Jafroudi, Maryam
TI A legal obligation to adapt transboundary water agreements to climate
   change?
SO WATER POLICY
LA English
DT Article
DE Adaptation; Climate change; Flexibility; Transboundary water agreements
ID FRESH-WATER; CHANGE IMPACTS; ALLOCATION; RESOURCES; SALINITY; RULES
AB Climate change disrupts the water cycle, jeopardises the security of water, food, and energy systems, and forces states to rethink water management practices to adapt to the new hydrological realities. When states share a water resource, adaptation to climate change proves to be more burdensome, especially if the resource in question is governed by a transboundary water agreement that fails to incorporate flexibility. The focus of this paper is on transboundary water basins with more than two riparian states, where only part of the co-riparian states are party to a transboundary water agreement. The paper discusses whether the recognition of the principle of equitable and reasonable use of water as a principle of customary international law creates an obligation for the party states to such agreements to adapt the terms of their arrangement to climate change. It argues that the principle of equitable and reasonable use of water establishes an obligation of conduct for the states to respect non-parties' riparian rights to a fair share of beneficial uses of water and protect the environment. Therefore, the nature of disruptions caused by climate change may make it imperative for the party states to take all possible measures that allow them to modify their water practices under an agreement to the implications of climate change in order to comply with the principle of equitable and reasonable use of water.
C1 [Jafroudi, Maryam] Tilburg Univ, Dept Publ Law & Governance, Tilburg, Netherlands.
C3 Tilburg University
RP Jafroudi, M (corresponding author), Tilburg Univ, Dept Publ Law & Governance, Tilburg, Netherlands.
EM mjafrudi@uvt.nl
CR Aldous A, 2011, MAR FRESHWATER RES, V62, P223, DOI 10.1071/MF09285
   [Anonymous], 2001, WATER QUALITY GUIDEL
   [Anonymous], 2015, WATER CLIMATE CHANGE
   [Anonymous], 2019, ECOL APPL
   Ansink E., 2015, 15001VIII TINB I
   Ansink E, 2008, ENVIRON RESOUR ECON, V41, P249, DOI 10.1007/s10640-008-9190-3
   Ayers R.S., 1994, Water quality for agriculture, V29
   Backlund P., 2008, SYNTHESIS ASSESSMENT, P240
   Benvenisti E, 1996, AM J INT LAW, V90, P384, DOI 10.2307/2204064
   Betini GS, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160537
   Bhaduri A., 2006, BE J EC ANAL POLICY
   Cooley H, 2011, HYDROLOG SCI J, V56, P711, DOI 10.1080/02626667.2011.576651
   Cullen P., 2009, QUALITY QUANTITY WAT, VI, P203
   de Chazournes L. B., 2019, UN CONV LAW NONN US
   Dellapenna J.W., 2006, WORLD ENV WAT RES C, P1
   Döll P, 2015, HYDROLOG SCI J, V60, P4, DOI 10.1080/02626667.2014.967250
   Drieschova A., 2011, TOOLKIT MECH REDUCE
   Drieschova A, 2008, GLOBAL ENVIRON CHANG, V18, P285, DOI 10.1016/j.gloenvcha.2008.01.005
   Duda A. M., 1997, NAT RES FOR
   Feeley TJ, 2008, ENERGY, V33, P1, DOI 10.1016/j.energy.2007.08.007
   Fischhendler I., 2004, Water Policy, V6, P281
   Fischhendler I, 2008, J PEACE RES, V45, P91, DOI 10.1177/0022343307084925
   Golombek R, 2012, CLIMATIC CHANGE, V113, P357, DOI 10.1007/s10584-011-0348-6
   GORCHEV HG, 1984, WHO CHRON, V38, P104
   Hathaway OonaA., 2008, Law and Contemporary Problems, V71, P115
   ILA, 2004, REP 71 C INT LAW ASS
   Jafroudi M, 2018, WATER POLICY, V20, P203, DOI 10.2166/wp.2018.178
   Jimenez Cisneros B. E., 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P229
   Kirby A., 2009, GUIDANCE WATER ADAPT
   Koremenos B, 2001, INT ORGAN, V55, P289, DOI 10.1162/00208180151140586
   Masson-Delmotte V., 2018, IPCC Report: Global Warming of 1.5C
   Matthews JH, 2009, CLIM DEV, V1, P269, DOI 10.3763/cdev.2009.0018
   McCaffrey SC, 2003, NAT RESOUR FORUM, V27, P156, DOI 10.1111/1477-8947.00050
   Organization for Security and Cooperation in Europe, 2009, MCDEC509
   Palmer MA, 2009, ENVIRON MANAGE, V44, P1053, DOI 10.1007/s00267-009-9329-1
   Paulson RW, 1991, NATL WATER SUMMARY 1, V2375
   Petts GE, 1996, REGUL RIVER, V12, P353
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Puri S., 2009, Atlas of Transboundary Aquifers: Global Maps, Regional Cooperation and Local Inventories
   Richter BD, 2012, RIVER RES APPL, V28, P1312, DOI 10.1002/rra.1511
   Rieu-Clarke A., 2015, Transboundary Water Governance and Climate Change Adaptation: International Law, Policy Guidelines and Best Practice Application. UN World Water Assessment Programme
   Salman SAA, 2007, INT J WATER RESOUR D, V23, P625, DOI 10.1080/07900620701488562
   Sands P, 2018, Principles of International Environmental Law, V4th
   Stakhiv EZ, 2011, J AM WATER RESOUR AS, V47, P1183, DOI 10.1111/j.1752-1688.2011.00589.x
   Stinnett DM, 2009, INT NEGOT, V14, P229, DOI 10.1163/157180609X432815
   Toll Michael, 2011, U. COLO. L. REV., V82, P595
   UN-Water, 2018, TRANSB WAERS FACTS F
   Vineis P, 2011, J EPIDEMIOL GLOB HEA, V1, P5, DOI 10.1016/j.jegh.2011.09.001
   Vinogradov S., 2003, UNESCO IHP WWAP IHP, V2
   Wolf A.T., 1998, WATER POLICY, V1, P251, DOI 10.1016/S1366-7017(98)00019-1
   Yeo A, 1999, SCI HORTIC-AMSTERDAM, V78, P159
   Yoffe S, 2003, J AM WATER RESOUR AS, V39, P1109, DOI 10.1111/j.1752-1688.2003.tb03696.x
NR 52
TC 4
Z9 4
U1 2
U2 11
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 OCT
PY 2020
VL 22
IS 5
BP 717
EP 732
DI 10.2166/wp.2020.212
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA OU7RL
UT WOS:000591722200001
OA Bronze
DA 2025-01-10
ER

PT J
AU Harrod, SE
   Rolland, V
AF Harrod, Sara E.
   Rolland, Virginie
TI Demographic responses of eastern bluebirds to climatic variability in
   northeastern Arkansas
SO POPULATION ECOLOGY
LA English
DT Article
DE adult survival; climate change; hatching success; season; Sialia sialis
ID NEST PREDATION; ALTERED PRECIPITATION; PHENOTYPIC PLASTICITY; HATCHING
   FAILURE; UNIFIED APPROACH; LIFE-HISTORY; SURVIVAL; TEMPERATURE; DENSITY;
   SUCCESS
AB As climate change continues to alter temperature and precipitation patterns, numerous species have declined. However, populations of some species that show responses to climate change, such as eastern bluebirds (Sialia sialis), have increased or remained stable nationwide. To understand how species are adapting to climate change, we estimated demographic parameters and their responses to climatic variability, using nesting and banding-recapture data between 2003 and 2018 in a northeastern Arkansas eastern bluebird population. Increasing variability in precipitation in the nonbreeding season negatively affected hatchability. Hatching success was negatively affected by increasing variability in maximum temperatures and the number of hot days during the breeding season, but positively affected by increasing winter snow depth. Adult survival was positively affected by increasing snow depth and variability in the number of hot days during the breeding season, but negatively affected by increasing variability in nonbreeding season temperatures. Our results demonstrate that for this study population, annual breeding parameters, though canalized against interannual environmental variation, were affected by seasonal climatic variability. Although climate change may benefit bluebird survival due to increasing variability in winter temperatures and the number of hot days, climatic variability negatively affected breeding parameters and is expected to increase. Because breeding parameters are typically the drivers of population growth rate in short-lived species, these results raise concern for the future of this population of eastern bluebirds.
C1 [Harrod, Sara E.; Rolland, Virginie] Arkansas State Univ, Dept Biol Sci, POB 599, State Univ, AR 72467 USA.
C3 Arkansas State University
RP Harrod, SE (corresponding author), Arkansas State Univ, Dept Biol Sci, POB 599, State Univ, AR 72467 USA.
EM sara.harrod@smail.astate.edu
OI Harrod, Sara/0000-0002-1137-883X
CR ALATALO RV, 1984, J ANIM ECOL, V53, P969, DOI 10.2307/4671
   Altwegg R, 2006, OECOLOGIA, V149, P44, DOI 10.1007/s00442-006-0430-3
   Altwegg R, 2009, FUNCT ECOL, V23, P1014, DOI 10.1111/j.1365-2435.2009.01563.x
   [Anonymous], 2010, The Christmas Bird Count Historical Results
   [Anonymous], 2002, ECOLOGICAL MODELLING
   Bailey RL, 2017, WILDLIFE SOC B, V41, P434, DOI 10.1002/wsb.801
   Bates D.M, 2010, lme4: Mixed-effects modeling with R
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Boyce MS, 2006, TRENDS ECOL EVOL, V21, P141, DOI 10.1016/j.tree.2005.11.018
   Campbell RD, 2012, GLOBAL CHANGE BIOL, V18, P2730, DOI 10.1111/j.1365-2486.2012.02739.x
   Capinera J.L., 2010, Insects and wildlife: Arthropods and their relationships with wild vertebrate animals, P34
   Carleton RE, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0214266
   Chen LJ, 2015, BASIC APPL ECOL, V16, P172, DOI 10.1016/j.baae.2014.12.002
   Choquet R, 2009, ECOGRAPHY, V32, P1071, DOI 10.1111/j.1600-0587.2009.05968.x
   Clark G. T., 1977, Proceedings of the Arkansas Academy of Science, V31, P34
   COHEN AC, 1977, ANN ENTOMOL SOC AM, V70, P741, DOI 10.1093/aesa/70.5.741
   Colinet H, 2015, ANNU REV ENTOMOL, V60, P123, DOI 10.1146/annurev-ento-010814-021017
   Cooper CB, 2006, IBIS, V148, P221, DOI 10.1111/j.1474-919x.2006.00500.x
   Cox WA, 2013, AUK, V130, P784, DOI 10.1525/auk.2013.13033
   Cox WA, 2012, LANDSCAPE ECOL, V27, P659, DOI 10.1007/s10980-012-9711-x
   Coxe S, 2009, J PERS ASSESS, V91, P121, DOI 10.1080/00223890802634175
   DuRant SE, 2010, J EXP BIOL, V213, P45, DOI 10.1242/jeb.034488
   DuRant S.E., 2011, The role of incubation temperature in determining avian phenotype: implications for avian ecology, life history evolution, and conservation
   Estay SA, 2014, OIKOS, V123, P131, DOI 10.1111/j.1600-0706.2013.00607.x
   Evans H.E., 1984, Insect biology: A textbook of entomology, P324
   FOLK G E JR, 1968, Proceedings of the Iowa Academy of Science, V75, P301
   Fowler J. A., 2014, THESIS
   Frazier A., 1959, Bird-Banding, V30, P219
   Gaillard JM, 2003, ECOLOGY, V84, P3294, DOI 10.1890/02-0409
   Giannini TC, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0182274
   GLUECK TF, 1988, WILDLIFE SOC B, V16, P6
   Goszczynski J, 2009, FOLIA ZOOL, V58, P363
   Gowaty P. A., 2015, NIRDS N AM ONLINE
   Gowaty P. A., 1991, ANIM BEHAV, V41, P339
   Gowaty PA, 1997, J FIELD ORNITHOL, V68, P323
   Grosbois V, 2008, BIOL REV, V83, P357, DOI 10.1111/j.1469-185X.2008.00047.x
   Gutschick VP, 2003, NEW PHYTOL, V160, P21, DOI 10.1046/j.1469-8137.2003.00866.x
   Hamilton JA, 2015, MOL ECOL, V24, P2253, DOI 10.1111/mec.13099
   Hayhoe K., 2017, CLIMATE SCI SPECIAL, VI, P133, DOI [DOI 10.7930/J0WH2N54, 10.7930/J0WH2N54]
   Hemmings N, 2012, BIOL LETTERS, V8, P964, DOI 10.1098/rsbl.2012.0655
   Higgins RW, 2002, J CLIMATE, V15, P1555, DOI 10.1175/1520-0442(2002)015<1555:RBCVAW>2.0.CO;2
   Hongoh V, 2012, APPL GEOGR, V33, P53, DOI 10.1016/j.apgeog.2011.05.015
   Hultine KR, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.109, 10.1038/nplants.2016.109]
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jamieson MA, 2012, PLANT PHYSIOL, V160, P1719, DOI 10.1104/pp.112.206524
   Jenouvrier S, 2013, GLOBAL CHANGE BIOL, V19, P2036, DOI 10.1111/gcb.12195
   Jump AS, 2006, GLOBAL CHANGE BIOL, V12, P2163, DOI 10.1111/j.1365-2486.2006.01250.x
   Kingston R., 1990, Sialia, V13, P56
   Koenig WD, 2018, J AVIAN BIOL, V49, DOI 10.1111/jav.01784
   Kolanowska M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13088-7
   Korslund L, 2006, J ANIM ECOL, V75, P156, DOI 10.1111/j.1365-2656.2005.01031.x
   Kovats RS, 2003, LANCET, V362, P1481, DOI 10.1016/S0140-6736(03)14695-8
   Laake J. L., 2013, 201301 AFSC NOAA NAT, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CB09781107415324.004]
   Lang J. M., 2013, THESIS
   Lawrence DM, 2010, CLIM DYNAM, V34, P969, DOI 10.1007/s00382-009-0537-4
   Lebreton J.-D., 1991, BIRD POPULATION STUD, P105
   LEBRETON JD, 1992, ECOL MONOGR, V62, P67, DOI 10.2307/2937171
   Lombardo MP, 1995, AUK, V112, P973, DOI 10.2307/4089028
   Martin TE, 2000, P ROY SOC B-BIOL SCI, V267, P2287, DOI 10.1098/rspb.2000.1281
   Maziarz M, 2017, FOREST ECOL MANAG, V389, P306, DOI 10.1016/j.foreco.2017.01.001
   Mcclelland GTW, 2018, ECOL APPL, V28, P212, DOI 10.1002/eap.1642
   Moreno J, 2011, CURR ZOOL, V57, P375, DOI 10.1093/czoolo/57.3.375
   Musselman T. E., 1935, Bird-Banding Boston, V6, P117, DOI 10.2307/4509358
   Myoung B, 2015, J CLIMATE, V28, P5683, DOI 10.1175/JCLI-D-14-00521.1
   Nice CC, 2006, OECOLOGIA, V146, P541, DOI 10.1007/s00442-005-0229-7
   Nufio CR, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012977
   Oliver TH, 2015, NAT CLIM CHANGE, V5, P941, DOI [10.1038/nclimate2746, 10.1038/NCLIMATE2746]
   Partridge TF, 2018, GEOPHYS RES LETT, V45, P2055, DOI 10.1002/2017GL076463
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   PINKOWSK.BC, 1974, WILSON BULL, V86, P83
   PINKOWSKI BC, 1977, WILSON BULL, V89, P404
   Pitts T.D., 1981, Migrant, V52, P29
   PITTS TD, 1978, BIRD BANDING, V49, P77, DOI 10.2307/4512322
   Plissner JH, 1996, ANIM BEHAV, V51, P1307, DOI 10.1006/anbe.1996.0135
   R Core Team, 2015, PROGR R VERS 3 2
   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]
   Ripley B., 2010, Package "MASS."
   Robinson T.J., 2004, North American Bird Bander, V29, P116
   Samplonius JM, 2018, GLOBAL CHANGE BIOL, V24, P3780, DOI [10.1111/gcb.14160, 10.1111/gcb.141]
   Sauer J. R., 2017, N AM BREEDING BIRD S
   SAUER JR, 1990, WILSON BULL, V102, P239
   Schmidt KA, 2008, ECOLOGY, V89, P635, DOI 10.1890/07-0199.1
   Shaffer Terry L., 2004, Auk, V121, P526, DOI 10.1642/0004-8038(2004)121[0526:AUATAN]2.0.CO;2
   Slodowicz D, 2018, ECOL EVOL, V8, P4431, DOI 10.1002/ece3.4005
   Stanback Mark T., 2009, Journal of the North Carolina Academy of Science, V125, P36
   Stanback MT, 2003, AUK, V120, P1029, DOI 10.1642/0004-8038(2003)120[1029:NFIEBS]2.0.CO;2
   Stenseth NC, 2002, P NATL ACAD SCI USA, V99, P13379, DOI 10.1073/pnas.212519399
   Sæther BE, 2004, ADV ECOL RES, V35, P185, DOI 10.1016/S0065-2504(04)35009-9
   Sæther BE, 2000, ECOLOGY, V81, P642, DOI 10.2307/177366
   Stroud H. B., 2018, CROWLEYS RIDGE
   Sultaire SM, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.3104
   The Weather Company, 2019, HIST WEATH
   Torti VM, 2005, OECOLOGIA, V145, P486, DOI 10.1007/s00442-005-0175-4
   US Climate Data, 2019, CLIM JON ARK
   USGS, 2016, LONG REC N AM BIRDS
   Vázquez DP, 2017, BIOL REV, V92, P22, DOI 10.1111/brv.12216
   Verboom J, 2010, LANDSCAPE ECOL, V25, P1289, DOI 10.1007/s10980-010-9497-7
   Visser ME, 2006, OECOLOGIA, V147, P164, DOI 10.1007/s00442-005-0299-6
   Vose R. S., 2017, Climate Science Special Report: Fourth National Climate Assessment, VI, P185, DOI DOI 10.7930/J0N29V45
   WEBB DR, 1987, CONDOR, V89, P874, DOI 10.2307/1368537
   Wetzel DP, 2013, AM MIDL NAT, V169, P398
   WHITE SC, 1973, BIRD BANDING, V44, P110, DOI 10.2307/4511945
   Whiteman JP, 2018, OECOLOGIA, V186, P369, DOI 10.1007/s00442-017-4023-0
   WILDUNG D K, 1989, Acta Horticulturae (Wageningen), P232
   Wingfield JC, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0140
   Woodworth BK, 2017, ECOLOGY, V98, P2039, DOI 10.1002/ecy.1911
   Zhu H, 2014, ECOL ENTOMOL, V39, P453, DOI 10.1111/een.12120
   Zuckerberg B, 2009, GLOBAL CHANGE BIOL, V15, P1866, DOI 10.1111/j.1365-2486.2009.01878.x
NR 108
TC 6
Z9 7
U1 2
U2 13
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1438-3896
EI 1438-390X
J9 POPUL ECOL
JI Popul. Ecol.
PD JUL
PY 2020
VL 62
IS 3
BP 317
EP 331
DI 10.1002/1438-390X.12048
PG 15
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA MM1KI
UT WOS:000549917000002
DA 2025-01-10
ER

PT J
AU Fromant, A
   Schumann, N
   Dann, P
   Cherel, Y
   Arnould, JPY
AF Fromant, Aymeric
   Schumann, Nicole
   Dann, Peter
   Cherel, Yves
   Arnould, John P. Y.
TI Trophic niches of a seabird assemblage in Bass Strait, south-eastern
   Australia
SO PEERJ
LA English
DT Article
DE Seabirds; Stable isotopes; Isotopic niche; Trophic niche; Diet; Niche
   segregation; Southern Ocean; Penguin; Procellariiform
ID PENGUINS EUDYPTULA-MINOR; SHORT-TAILED SHEARWATERS; COMMON
   DIVING-PETRELS; STABLE-ISOTOPES; PELECANOIDES-URINATRIX; FEEDING
   ECOLOGY; PHILLIP-ISLAND; INTRASPECIFIC COMPETITION;
   REPRODUCTIVE-PERFORMANCE; FORAGING BEHAVIOR
AB The foraging niches of seabirds are driven by a variety of factors, including competition for prey that promotes divergence in trophic niches. Bass Strait, south-eastern Australia, is a key region for seabirds, with little penguins Eudyptula minor, short-tailed shearwaters Ardenna tenuirostris, fairy prions Pachyptila turtur and common diving-petrels Pelecanoides urinatrix being particularly abundant in the region. The trophic niches of these species were investigated using isotopic values in whole blood and by identifying prey remains in stomach contents. The four species occupied different isotopic niches that varied among years, seasons and regions. Little penguins consumed mainly fish whereas the three procellariforms primarily consumed coastal krill Nyctiphanes australis. The dietary similarities between the procellariforms suggest that food resources are segregated in other ways, with interspecific differences in isotope niches possibly reflecting differential consumption of key prey, divergent foraging locations and depth, and differences in breeding phenology. Because oceanographic changes predicted to occur due to climate change may result in reduced coastal krill availability, adversely affecting these seabird predators, further information on foraging zones and feeding behaviour of small procellariform species is needed to elucidate more fully the segregation of foraging niches, the capacity of seabirds to adapt to climate change and the potential for interspecific competition in the region.
C1 [Fromant, Aymeric; Schumann, Nicole; Arnould, John P. Y.] Deakin Univ, Sch Life & Environm Sci, Burwood, Vic, Australia.
   [Fromant, Aymeric; Cherel, Yves] La Rochelle Univ, CNRS, UMR 7372, CEBC, Villiers En Bois, France.
   [Dann, Peter] Phillip Isl Nat Pk, Res Dept, Cowes, Vic, Australia.
C3 Deakin University; Centre National de la Recherche Scientifique (CNRS);
   CNRS - Institute of Ecology & Environment (INEE)
RP Fromant, A (corresponding author), Deakin Univ, Sch Life & Environm Sci, Burwood, Vic, Australia.; Fromant, A (corresponding author), La Rochelle Univ, CNRS, UMR 7372, CEBC, Villiers En Bois, France.
EM afromant@deakin.edu.au
OI Fromant, Aymeric/0000-0002-3024-7659
FU Winifred Violet Scott Charitable Trust fund; Stuart Leslie Bird Research
   Award
FX Funding was provided by the Winifred Violet Scott Charitable Trust fund
   and Stuart Leslie Bird Research Award. The funders had no role in study
   design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Ainley DG, 2004, ECOL MONOGR, V74, P159, DOI 10.1890/02-4073
   Alderman R, 2011, WILDLIFE RES, V38, P672, DOI 10.1071/WR10199
   Amélineau F, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0157764
   Angel LP, 2016, MAR ECOL PROG SER, V556, P261, DOI 10.3354/meps11845
   [Anonymous], MARINE CLIMATE CHANG
   Arnould JPY, 2011, MAR ECOL PROG SER, V422, P291, DOI 10.3354/meps08933
   BAIRD PH, 1991, CONDOR, V93, P503, DOI 10.2307/1368182
   Barger CP, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1447
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bearhop S, 2002, PHYSIOL BIOCHEM ZOOL, V75, P451, DOI 10.1086/342800
   Berlincourt M, 2015, MOV ECOL, V3, DOI 10.1186/s40462-015-0044-7
   Berlincourt M, 2015, MAR BIOL, V162, P1485, DOI 10.1007/s00227-015-2685-x
   Blackburn M, 1980, REP DIV FISH OCEANOG, V119, P1
   Bocher P, 2000, J ZOOL, V251, P517, DOI 10.1017/S0952836900008116
   Bocher P, 2000, MAR ECOL PROG SER, V208, P249, DOI 10.3354/meps208249
   Bond Alexander L., 2009, Marine Ornithology, V37, P183
   Bowker G.M., 1980, Corella, V4, P104
   Brooke MD, 2004, P ROY SOC B-BIOL SCI, V271, pS246, DOI 10.1098/rsbl.2003.0153
   Brothers N, 2001, Tasmania's offshore islands: seabirds and other natural features
   Bunce A, 2002, MAR BIOL, V141, P263, DOI 10.1007/s00227-002-0838-1
   Bunce A, 2001, ICES J MAR SCI, V58, P904, DOI 10.1006/jmsc.2001.1083
   Cai W, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024911
   Cai W, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024701
   Camprasse ECM, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3193-y
   Cavallo C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00381
   Chambers LE, 2011, EMU, V111, P235, DOI 10.1071/MU10033
   Cherel Y, 2005, OECOLOGIA, V145, P533, DOI 10.1007/s00442-005-0156-7
   Cherel Y, 2005, PHYSIOL BIOCHEM ZOOL, V78, P106, DOI 10.1086/425202
   Cherel Y, 2002, MAR ECOL PROG SER, V228, P263, DOI 10.3354/meps228263
   Cherel Y, 2002, MAR ECOL PROG SER, V228, P283, DOI 10.3354/meps228283
   Cherel Y, 2007, MAR ECOL PROG SER, V329, P281, DOI 10.3354/meps329281
   Cherel Y, 2014, MAR BIOL, V161, P229, DOI 10.1007/s00227-013-2314-5
   Cherel Y, 2013, ECOGRAPHY, V36, P277, DOI 10.1111/j.1600-0587.2012.07466.x
   Chiaradia A, 2003, EMU, V103, P43, DOI 10.1071/MU02020
   Chiaradia A, 2012, AUSTRAL ECOL, V37, P610, DOI 10.1111/j.1442-9993.2011.02323.x
   Chiaradia A, 2010, ICES J MAR SCI, V67, P1710, DOI 10.1093/icesjms/fsq067
   Cleeland JB, 2014, J EXP MAR BIOL ECOL, V450, P109, DOI 10.1016/j.jembe.2013.10.012
   Collins M, 1999, WILDLIFE RES, V26, P705, DOI 10.1071/WR98003
   Croxall JP, 2002, SCIENCE, V297, P1510, DOI 10.1126/science.1071987
   CULLEN JM, 1992, EMU, V91, P318, DOI 10.1071/MU9910318
   Dann P, 2006, EMU, V106, P289, DOI 10.1071/MU06011
   Davies WE, 2009, MAR ECOL PROG SER, V382, P211, DOI 10.3354/meps07997
   DUFFY D C, 1986, Colonial Waterbirds, V9, P1, DOI 10.2307/1521138
   Dunphy BJ, 2015, MAR ECOL PROG SER, V523, P187, DOI 10.3354/meps11195
   Einoder LD, 2011, AUSTRAL ECOL, V36, P461, DOI 10.1111/j.1442-9993.2010.02176.x
   Espinoza P, 2009, PROG OCEANOGR, V83, P242, DOI 10.1016/j.pocean.2009.07.045
   Fullagar PJ, 1996, GABO ISLAND SHEARWAT
   Furlani D., 2007, OTOLITHS COMMON AUST
   GALES R, 1990, AUST WILDLIFE RES, V17, P231
   GALES RP, 1987, IBIS, V129, P335, DOI 10.1111/j.1474-919X.1987.tb03177.x
   GIBBS CF, 1992, EMU, V91, P395, DOI 10.1071/MU9910395
   GIBBS CF, 1986, AUST J MAR FRESH RES, V37, P451
   GIBBS CF, 1991, AUST J MAR FRESH RES, V42, P201
   Gill PC, 2011, MAR ECOL PROG SER, V421, P243, DOI 10.3354/meps08914
   González-Solís J, 2007, AQUAT CONSERV, V17, pS22, DOI 10.1002/aqc.911
   Granroth-Wilding HMV, 2019, IBIS, V161, P101, DOI 10.1111/ibi.12584
   HARPER P C, 1987, Notornis, V34, P169
   HARPER PC, 1976, NEW ZEAL J ZOOL, V3, P351, DOI 10.1080/03014223.1976.9517925
   Harris G.P., 1991, Journal of Plankton Research, V13, P109
   Harris MP, 1979, 588 NAT ENV RES COUN
   Hedd A, 2001, J ZOOL, V253, P69, DOI 10.1017/S0952836901000073
   HOBSON KA, 1993, MAR ECOL PROG SER, V95, P7, DOI 10.3354/meps095007
   HOBSON KA, 1994, J ANIM ECOL, V63, P786, DOI 10.2307/5256
   HOBSON KA, 1992, MAR ECOL PROG SER, V84, P9, DOI 10.3354/meps084009
   Jackson AL, 2011, J ANIM ECOL, V80, P595, DOI 10.1111/j.1365-2656.2011.01806.x
   Jaeger A, 2010, MAR ECOL PROG SER, V401, P269, DOI 10.3354/meps08380
   Jakubas D, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16589-7
   Kokubun N, 2016, BIOGEOSCIENCES, V13, P2579, DOI 10.5194/bg-13-2579-2016
   Layman CA, 2007, ECOLOGY, V88, P42, DOI 10.1890/0012-9658(2007)88[42:CSIRPF]2.0.CO;2
   Leitch TN, 2014, AUST J ZOOL, V62, P216, DOI 10.1071/ZO13066
   Lu CC, 2002, MUSEUM VICTORIA REPO
   Marchant S., 1990, P1
   MICKELSON MJ, 1992, EMU, V91, P355, DOI 10.1071/MU9910355
   Mills JA, 2008, J ANIM ECOL, V77, P1129, DOI 10.1111/j.1365-2656.2008.01383.x
   MONTAGUE TL, 1986, EMU, V86, P207, DOI 10.1071/MU9860207
   Mori Y, 2004, MAR ECOL PROG SER, V275, P241, DOI 10.3354/meps275241
   Navarro J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062897
   Navarro J, 2014, POLAR BIOL, V37, P897, DOI 10.1007/s00300-014-1483-0
   Neira FJ., 1998, LARVAE TEMPERATE AUS
   OBRIEN DP, 1988, MAR ECOL PROG SER, V42, P219, DOI 10.3354/meps042219
   PAYNE MR, 1979, NEW ZEAL J ZOOL, V6, P299, DOI 10.1080/03014223.1979.10428368
   Pescott T.W., 1976, Australian Bird Bander, V14, P29
   Phillips RA, 2007, AQUAT CONSERV, V17, pS6, DOI 10.1002/aqc.906
   Phillips RA, 2005, MAR ECOL PROG SER, V285, P259, DOI 10.3354/meps285259
   Phillips RA, 2004, P ROY SOC B-BIOL SCI, V271, P1283, DOI 10.1098/rspb.2004.2718
   Polito MJ, 2019, LIMNOL OCEANOGR-METH, V17, P292, DOI 10.1002/lom3.10314
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Pratte I, 2017, MAR ECOL PROG SER, V572, P243, DOI 10.3354/meps12144
   Prince JD, 2001, MAR FRESHWATER RES, V52, P431, DOI 10.1071/MF00042
   Prince PA, 1987, DIET FEEDING ECOLOGY, P135
   Quillfeldt P, 2005, MAR ECOL PROG SER, V295, P295, DOI 10.3354/meps295295
   Raymond B, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010960
   REILLY PN, 1981, EMU, V81, P1, DOI 10.1071/MU9810001
   Ridgway KR, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2003JC001921
   Ridgway KR, 1997, J GEOPHYS RES-OCEANS, V102, P22921, DOI 10.1029/97JC00227
   Ridoux Vincent, 1994, Marine Ornithology, V22, P1
   Ritz D, 2003, GUIDE ZOOPLANKTON S
   Ropert-Coudert Y, 2004, BEHAV ECOL, V15, P824, DOI 10.1093/beheco/arh086
   Ropert-Coudert Y, 2009, P ROY SOC B-BIOL SCI, V276, P4105, DOI 10.1098/rspb.2009.1399
   Ross GJB., 2001, STATE MARINE ENV REP, P167
   Sandery PA, 2005, ESTUAR COAST SHELF S, V63, P23, DOI 10.1016/j.ecss.2004.10.009
   Sandery PA, 2007, ESTUAR COAST SHELF S, V74, P684, DOI 10.1016/j.ecss.2007.05.011
   SCHOENER TW, 1974, SCIENCE, V185, P27, DOI 10.1126/science.185.4145.27
   Schumann N, 2014, EMU, V114, P234, DOI 10.1071/MU13048
   Schumann N, 2008, WATERBIRDS, V31, P620
   Surman CA, 2003, J ZOOL, V259, P219, DOI 10.1017/S0952836902003047
   Sutton GJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144297
   Taylor Andrew R., 2013, Marine Ornithology, V41, P23
   Tollit DJ, 1997, CAN J FISH AQUAT SCI, V54, P105, DOI 10.1139/cjfas-54-1-105
   Underwood MP, 2012, DOES SIZE MATTER SEX
   van der Lingen CD, 2009, CLIMATE CHANGE AND SMALL PELAGIC FISH, P112
   Vertigan C. A., 2010, LIFE HIST SHORT TAIL
   Wakefield ED, 2013, SCIENCE, V341, P68, DOI 10.1126/science.1236077
   Waugh SM, 2003, OIKOS, V103, P374, DOI 10.1034/j.1600-0706.2003.12178.x
   Weimerskirch H, 1998, MAR ECOL PROG SER, V167, P261, DOI 10.3354/meps167261
   Woehler E, 2014, MAR ECOL PROG SER, V511, P249, DOI 10.3354/meps10886
   Woehler EJ, 2006, MAR ECOL PROG SER, V324, P261, DOI 10.3354/meps324261
   YOUNG JW, 1993, MAR BIOL, V116, P9, DOI 10.1007/BF00350726
   Zhang JJ, 2019, EMU, V119, P126, DOI 10.1080/01584197.2018.1558997
NR 119
TC 13
Z9 14
U1 2
U2 28
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD MAR 11
PY 2020
VL 8
AR e8700
DI 10.7717/peerj.8700
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA KT3UK
UT WOS:000518941800003
PM 32201643
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Healey, E
   Hilal, H
   Lerche, KC
   Ng, SY
   Osberg, G
   Oye, LE
   Vijn, A
AF Healey, Evan
   Hilal, Hareem
   Lerche, Kathrine Cornali
   Ng, Shao Yan
   Osberg, Grace
   Oye, Lene Emilie
   Vijn, Audrey
TI The divergent climate change approaches of the EU and the US: an
   analysis of contributing factors
SO JOURNAL OF ENERGY & NATURAL RESOURCES LAW
LA English
DT Article
DE climate change targets; temperature goal; U; S; climate policy; EU
   climate policy; public awareness; climate science; precautionary
   principle; principle of common but differentiated responsibilities and
   capabilities
AB The European Union and the United States have significantly different approaches when addressing climate change. It is reasonable to think that the actions of the EU and the US, as powerful entities in global politics, influence the contours and effectiveness of the international climate change regime. The EU has for a long time strived to play the strongest role possible in international climate negotiations and to maximise its climate change targets, which is reflected through its climate policies and legal implementation of the international climate change regime. The situation in the US is more polarised, with the Republican Party almost uniformly denying the existence of climate change and any human impact on rising global temperatures. Instead of taking scientific reports on impacts, risks and adaptation to climate change seriously, the Trump administration is focused on increasing US production of oil, natural gas and coal. Meanwhile, Democrats are pushing to combat climate change, build a clean energy economy and secure environmental justice. This article explores and explains the legal differences in the EU and the US responses to climate change and climate change targets, and considers the possible contributing factors. The assessment takes account of policies at the highest governing level, thus not taking account of what is happening among some US states.
C1 [Healey, Evan; Osberg, Grace] Univ Denver, Denver, CO 80208 USA.
   [Hilal, Hareem; Oye, Lene Emilie; Vijn, Audrey] Univ Oslo, Oslo, Norway.
   [Lerche, Kathrine Cornali; Ng, Shao Yan] Univ Copenhagen, Copenhagen, Denmark.
C3 University of Denver; University of Oslo; University of Copenhagen
RP Oye, LE (corresponding author), Univ Oslo, Oslo, Norway.
EM ehealey20@law.du.edu; hareem.hilal@student.jus.uio.no;
   sjb307@alumni.ku.dk; zmp687@alumni.ku.dk; gosberg20@law.du.edu;
   lene.e.oye@uit.no; audreyv@student.iln.uio.no
CR [Anonymous], 2030 Climate and Energy Framework
   [Anonymous], 2018, Washington Post
   [Anonymous], 2020 climate & energy package'
   [Anonymous], 2017, COMMUNICATION
   [Anonymous], 2018, BBC NEWS
   [Anonymous], 2013, Theoretical Inquiries in Law, DOI DOI 10.1515/TIL-2013-009
   Balmes JR, 2018, ANN AM THORAC SOC, V15, pS114, DOI 10.1513/AnnalsATS.201706-476MG
   Bodansky DanielJutta Brunnee Lavanya Rajamani., 2017, INT CLIMATE CHANGE L
   Carlarne C, 2006, PENN STATE ENV LAW R, V14, P435
   CARLARNE C, 2006, PENN STATE ENV LAW R, V14, P459
   CARLARNE CP, 2010, CLIMATE CHANGE LAW P, P12
   Caswell Hal, 2001, pi
   *DAN EN AG, 2017, DENM EN CLIM OUTL 20, P10
   DESSLER AE, 2016, INTRO MODERN CLIMATE, P211
   *DIR GEN COMM, 2014, EUR UN EXPL CLIM ACT, P5
   Dryzek J.S., 2011, OXFORD HDB CLIMATE C, P3
   *EUR PARL, 2018, EU WORLD LEAD FIGHT
   European Commission, EU EM TRAD SYST EU E
   Farand C., 2019, Climate Home News
   Farber DA, 2018, REV ESTUD CONST HERM, V10, P95, DOI 10.4013/rechtd.2018.102.01
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   HAYWARD T, 2007, ETHICS INT AFF, V21, P434
   Haywood Tim., 2007, ETHICS INT AFF, V21, P431, DOI [10.1111/j.1747-7093.2007.00117.x, DOI 10.1111/J.1747-7093.2007.00117.X]
   Holden Emily, 2018, The Guardian
   IPCC, 2018, GLOB WARM 1 5C SUMM
   JACOB A, 2019, CLIMATE CHANGE SWING, P242
   KAUFMAN N, 2016, PUTTING PRICE CARBON, P11
   Keyes AT, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafe25
   KIRGIS F, 1997, ASIL INSIGHTS, V1
   KNIGGE M, 2006, CLIMATE CHANGE POLIC, P15
   KNOPF B, 2012, CLIMATE CHANGE JUSTI, P131
   KRIEBEL D, 2009, LAW CONTEMP PROBL, V72, P129
   Kriebel D., 2009, Law Contemp. Probs, V72, P121
   Milman O., 2018, The Guardian
   Oreskes N, 2004, ENVIRON SCI POLICY, V7, P369, DOI 10.1016/j.envsci.2004.06.002
   Rajamani Lavanya., 2000, REV EUROPEAN COMMUNI, V9, P120, DOI 10.1111/1467-9388.00243
   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]
   SCHUTZE R, 2018, EUROPEAN UNION LAW, P82
   Shackley S, 1996, SCI TECHNOL HUM VAL, V21, P275, DOI 10.1177/016224399602100302
   SHWOM RL, 2015, CLIMATE CHANGE SOC S, P279
   SMITH C, 2017, TULANE ENV LAW J, V31, P159
   Sohlberg J, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010039
   TAYLOR M, 2015, CONFRONTING REGULATO, P17
   TRUMP, 2017, COMMUNICATION   0629
   United Nations, 2015, No.A/RES/70/1.
   *US ENV PROT AG, COMPL PRES TRUMPS EX
   Von Der Leyen U., A Union that strives for more My agenda for Europe
   VONDERLEYEN U, NEW COMMISSION 2019
   WEISHAAR SE, 2018, WIFO WORKING PAPERS, V556, P1
   Winkler H, 2014, CLIM POLICY, V14, P102, DOI 10.1080/14693062.2013.791184
   WOERDMAN E, 2015, ESSENTIAL EU CLIMATE, P32
   Wynne B, 2010, NATURE, V466, P441, DOI 10.1038/466441a
   ZILBERBERG D, 2018, FORDHAM ENV LAW REV, V30, P104
   ,, 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
   2008, GREEN NEW DEAL
   2019, AFFORDABLE CLEAN ENE
   2014, CLEAN POWER PLAN
   2006, EU US SUMMIT DECLARA
   2018, KATOWICE TEXTS
NR 59
TC 0
Z9 0
U1 3
U2 32
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0264-6811
EI 2376-4538
J9 J ENERGY NAT RESO LA
JI J. Energy Nat. Resour. Law
PD OCT 2
PY 2019
VL 37
IS 4
BP 465
EP 481
DI 10.1080/02646811.2019.1649086
EA AUG 2019
PG 17
WC Environmental Studies; Law
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law
GA JE0SU
UT WOS:000484963100001
DA 2025-01-10
ER

PT J
AU Mapfumo, P
   Mtambanengwe, F
   Chikowo, R
AF Mapfumo, Paul
   Mtambanengwe, Florence
   Chikowo, Regis
TI Building on indigenous knowledge to strengthen the capacity of
   smallholder farming communities to adapt to climate change and
   variability in southern Africa
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE climate change; food insecurity; participatory action research; poor
   soil fertility; rain-fed agriculture; seasonal variability
ID SOIL FERTILITY; MANAGEMENT; SYSTEMS
AB A study was conducted in Makoni and Hwedza smallholder farming areas in eastern Zimbabwe to investigate local perceptions of the impacts of climate change and variability, and how indigenous knowledge may enable farmers to construct appropriate responses to these impacts and make key agricultural decisions. The study revealed evidence of increased climate variability and heightening vulnerability in farming systems. Rainfall seasons have shortened by up to four weeks, impacting on food sources and ecosystem services, and increasing pressure on women and children as traditional roles change. Communities depended primarily on indigenous knowledge and local biological and geographical indicators of seasonal forecasts in making major strategic, tactical and operational decisions on crop production, including management of food stocks and social safety nets. In providing climate and technical production information, researchers and development practitioners will therefore need to fit in with farmers' local decision-making frameworks. However, it should be recognized that some of the indicators (e.g. biological) on which this indigenous knowledge is traditionally based are also adversely affected by increased climate variability, placing limits on its scope as a basis for decision-making. Despite this, efforts to build the adaptive capacity of these farming communities should still consider the current indigenous knowledge base as an entry point.
C1 [Mapfumo, Paul; Mtambanengwe, Florence] Univ Zimbabwe, Dept Soil Sci & Agr Engn, POB MP 167, Harare, Zimbabwe.
   [Mapfumo, Paul; Mtambanengwe, Florence; Chikowo, Regis] Univ Zimbabwe, Soil Fertil Consortium Southern Africa SOFECSA, POB MP 167, Harare, Zimbabwe.
   [Chikowo, Regis] Univ Zimbabwe, Dept Crop Sci, POB MP 167, Harare, Zimbabwe.
C3 University of Zimbabwe; University of Zimbabwe; University of Zimbabwe
RP Mapfumo, P (corresponding author), Univ Zimbabwe, Dept Soil Sci & Agr Engn, POB MP 167, Harare, Zimbabwe.; Mapfumo, P (corresponding author), Univ Zimbabwe, Soil Fertil Consortium Southern Africa SOFECSA, POB MP 167, Harare, Zimbabwe.
EM pmapfumo@agric.uz.ac.zw
RI Mtambanengwe, Florence/AAX-4571-2021
CR Adjei-Nsiah S., 2010, International Journal of Climate Change: Impacts and Responses, V2, P49
   [Anonymous], 2011, Journal of Sustainable Development in Africa
   [Anonymous], 2007, SYNTHESIS REPORT INT
   Bationo A., 2012, FIGHTING POVERTY SUB
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Dutta Renee, 2009, International Information and Library Review, V41, P44, DOI 10.1016/j.iilr.2008.12.001
   Flavier J. M., 1995, The cultural dimension of development: indigenous knowledge systems., P479
   Gbetibouo G. A., 2008, UNDERSTANDING FARMER
   German L, 2007, AGR SYST, V94, P189, DOI 10.1016/j.agsy.2006.08.008
   Ingram KT, 2002, AGR SYST, V74, P331, DOI 10.1016/S0308-521X(02)00044-6
   Lawrence J, 2015, LOCAL ENVIRON, V20, P298, DOI 10.1080/13549839.2013.839643
   Mapfumo P., 2008, LEISA Magazine, V24, P30
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Odendo M, 2006, NUTR CYCL AGROECOSYS, V76, P369, DOI 10.1007/s10705-006-9060-8
   PAWLUK RR, 1992, J SOIL WATER CONSERV, V47, P298
   Roncoli C, 2011, AGR HUM VALUES, V28, P123, DOI 10.1007/s10460-010-9257-y
   Rurinda J, 2013, FIELD CROP RES, V154, P211, DOI 10.1016/j.fcr.2013.08.012
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Westerhoff L, 2009, MITIG ADAPT STRAT GL, V14, P317, DOI 10.1007/s11027-008-9166-1
   Whitlow J. R., 1984, ZIMBABWE AGR J, V81, P121
NR 21
TC 53
Z9 57
U1 2
U2 52
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JAN 1
PY 2016
VL 8
IS 1
BP 72
EP 82
DI 10.1080/17565529.2014.998604
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA DG4JI
UT WOS:000372038100006
DA 2025-01-10
ER

PT J
AU Huttunen, I
   Lehtonen, H
   Huttunen, M
   Piirainen, V
   Korppoo, M
   Veijalainen, N
   Viitasalo, M
   Vehviläinen, B
AF Huttunen, Inese
   Lehtonen, Heikki
   Huttunen, Markus
   Piirainen, Vanamo
   Korppoo, Marie
   Veijalainen, Noora
   Viitasalo, Markku
   Vehvilainen, Bertel
TI Effects of climate change and agricultural adaptation on nutrient
   loading from Finnish catchments to the Baltic Sea
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Nutrient loading; Baltic Sea; Agricultural scenarios;
   Water quality modeling; VEMALA
ID PHOSPHORUS LOSSES; CROP PRODUCTION; EROSIVITY FACTOR; NITROGEN MODEL;
   WATER-QUALITY; LAND-USE; IMPACT; TEMPERATURE; FERTILIZER; SCENARIOS
AB Climate change is expected to increase annual and especially winter runoff, shorten the snow cover period and therefore increase both nutrient leaching from agricultural areas and natural background leaching in the Baltic Sea catchment. We estimated the effects of climate change and possible future scenarios of agricultural changes on the phosphorus and nitrogen loading to the Baltic Sea from Finnish catchments. In the agricultural scenarios we assumed that the prices of agricultural products are among the primary drivers in the adaptation to climate change, as they affect the level of fertilization and the production intensity and volume and, hence, the modeled changes in gross nutrient loading from agricultural land. Optimal adaptation may increase production while supporting appropriate use of fertilization, resulting in low nutrient balance in the fields. However, a less optimal adaptation may result in higher nutrient balance and increased leaching. The changes in nutrient loading to the Baltic Sea were predicted by taking into account the agricultural scenarios in a nutrient loading model for Finnish catchments (VEMALA), which simulates runoff, nutrient processes, leaching and transport on land, in rivers and in lakes. We thus integrated the effects of climate change in the agricultural sector, nutrient loading in fields, natural background loading, hydrology and nutrient transport and retention processes. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Huttunen, Inese; Huttunen, Markus; Piirainen, Vanamo; Korppoo, Marie; Veijalainen, Noora; Viitasalo, Markku; Vehvilainen, Bertel] Finnish Environm Inst SYKE, FIN-00251 Helsinki, Finland.
   [Lehtonen, Heikki] Nat Resources Inst Finland LUKE, FIN-00790 Helsinki, Finland.
C3 Finnish Environment Institute; Natural Resources Institute Finland
   (Luke)
RP Huttunen, I (corresponding author), Finnish Environm Inst SYKE, POB 140, FIN-00251 Helsinki, Finland.
EM Inese.Huttunen@ymparisto.fi
RI Veijalainen, Noora/AAN-4826-2020
OI Korppoo, Marie/0000-0001-5016-3009; Viitasalo,
   Markku/0000-0002-9767-5084; Veijalainen, Noora/0000-0003-4665-933X
FU Academy of Finland [140871, 140840, 140833]; Academy of Finland (AKA)
   [140840, 140833, 140871] Funding Source: Academy of Finland (AKA)
FX This work was funded by the Academy of Finland by the project MARISPLAN
   - Marine spatial Planning in a changing climate (IH, VP: Decision number
   140871; HL: Decision number 140840; MV: Decision number 140833) and the
   respective institutes of the authors. We gratefully acknowledge the
   support of the funding agencies. The authors also thank anonymous
   reviewers, whose comments and suggestions helped to improve the final
   version of the manuscript.
CR Abler D, 2002, CLIMATIC CHANGE, V55, P339, DOI 10.1023/A:1020570526499
   AHLGREN I, 1994, AMBIO, V23, P367
   AHLGREN I, 1988, HYDROBIOLOGIA, V170, P285, DOI 10.1007/BF00024910
   [Anonymous], THESIS PURDUE U INDI
   [Anonymous], THESIS U HELSINKI
   [Anonymous], 9512924072 FIGARE
   [Anonymous], ENV MODELING A UNPUB
   [Anonymous], THESIS UMEA U SWEDEN
   [Anonymous], ENV PROTECTION
   [Anonymous], MAATALOUSYRITYSTEN S
   [Anonymous], PUBLICATION U GEORGI
   [Anonymous], SOIL CONS SERV NAT H
   [Anonymous], SAVIMAIDEN EROOSIO
   [Anonymous], EVALUATING ADA UNPUB
   [Anonymous], 2000, IPCC SPECIAL REPORT
   [Anonymous], THESIS HELSINKI U TE
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], PNAS
   [Anonymous], LOPPURAPORTTI
   [Anonymous], 2009, EMSEMBLES CLIMATE CH
   [Anonymous], 1980, CREAMS FIELD SCALE M
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Arheimer B, 2012, AMBIO, V41, P600, DOI 10.1007/s13280-012-0323-0
   Bärlund I, 2009, AGR FOOD SCI, V18, P402, DOI 10.23986/afsci.5949
   Baron JS, 2013, BIOGEOCHEMISTRY, V114, P71, DOI 10.1007/s10533-012-9788-y
   Delgado A, 1997, EUR J AGRON, V6, P205, DOI 10.1016/S1161-0301(96)02048-5
   Dessureault-Rompré J, 2010, GEODERMA, V157, P97, DOI 10.1016/j.geoderma.2010.04.001
   FOSTER GR, 1977, T ASAE, V20, P683
   GARNAUT R, 1992, ECONOMIC REFORM AND INTERNATIONALISATION: CHINA AND THE PACIFIC REGION, P1
   Goulding KWT, 2000, SOIL USE MANAGE, V16, P244, DOI 10.1111/j.1475-2743.2000.tb00203.x
   Hägg HE, 2014, AMBIO, V43, P337, DOI 10.1007/s13280-013-0416-4
   Hattermann F. E, 2007, Advances in Geosciences, V11, P85
   HELCOM, 2011, BALTIC SEA ENV P, V128
   HELCOM, 2013, SUMMARY REPORT DEV R
   Höglind M, 2013, AGR FOREST METEOROL, V170, P103, DOI 10.1016/j.agrformet.2012.02.010
   Hyytiäinen K, 2011, AGR SYST, V104, P634, DOI 10.1016/j.agsy.2011.06.006
   Jaakkola E, 2012, AGR FOOD SCI, V21, P292, DOI 10.23986/afsci.6773
   Lehtonen H, 2012, ACTA AGR SCAND A-AN, V62, P326, DOI 10.1080/09064702.2013.797011
   Mattsson T, 2005, BIOGEOCHEMISTRY, V76, P373, DOI 10.1007/s10533-005-6897-x
   Meier HEM, 2012, CLIM DYNAM, V39, P2421, DOI 10.1007/s00382-012-1339-7
   Monteith J. L., 1995, PRINCIPLES ENV PHYS
   Peltonen-Sainio P, 2009, AGR FOOD SCI, V18, P171, DOI 10.2137/145960609790059479
   POSCH M, 1993, AGR SCI FINLAND, V2, P271, DOI 10.23986/afsci.72650
   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]
   Puustinen M, 2010, AGR ECOSYST ENVIRON, V138, P306, DOI 10.1016/j.agee.2010.06.003
   Rankinen K, 2004, HYDROL EARTH SYST SC, V8, P695, DOI 10.5194/hess-8-695-2004
   Rankinen K, 2013, AGR FOOD SCI, V22, P342, DOI 10.23986/afsci.7500
   REKOLAINEN S, 1993, NORD HYDROL, V24, P309
   Rötter RP, 2012, ACTA AGR SCAND A-AN, V62, P166, DOI 10.1080/09064702.2013.793735
   Rötter RP, 2013, ECOL EVOL, V3, P4197, DOI 10.1002/ece3.782
   Ruosteenoja K, 2007, CLIMATIC CHANGE, V81, P193, DOI 10.1007/s10584-006-9222-3
   Ruosteenoja K, 2011, INT J CLIMATOL, V31, P1473, DOI 10.1002/joc.2171
   Salo T, 2007, AGR FOOD SCI, V16, P366, DOI 10.2137/145960607784125384
   Schoumans OF, 2014, SCI TOTAL ENVIRON, V468, P1255, DOI 10.1016/j.scitotenv.2013.08.061
   Tattari S, 2001, T ASAE, V44, P297, DOI 10.13031/2013.4691
   Turtola E, 1998, AGR FOOD SCI FINLAND, V7, P569, DOI 10.23986/afsci.5614
   van der Salm C, 2009, J ENVIRON QUAL, V38, P751, DOI 10.2134/jeq2008.0068
   Wade AJ, 2002, HYDROL EARTH SYST SC, V6, P559, DOI 10.5194/hess-6-559-2002
   Yli-Halla M, 2005, T ASAE, V48, P101, DOI 10.13031/2013.17952
NR 59
TC 67
Z9 70
U1 6
U2 123
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD OCT 1
PY 2015
VL 529
BP 168
EP 181
DI 10.1016/j.scitotenv.2015.05.055
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CK4XP
UT WOS:000356227000018
PM 26011613
DA 2025-01-10
ER

PT J
AU Frihy, OE
   El-Sayed, MK
AF Frihy, Omran E.
   El-Sayed, Mahmoud Kh.
TI Vulnerability risk assessment and adaptation to climate change induced
   sea level rise along the Mediterranean coast of Egypt
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Vulnerability ranking; Risk assessment; Adaptation measures; Subsidence;
   Topography; Neotectonics; Nile delta; Sea-level rise
ID NILE-DELTA; SUBSIDENCE; EVOLUTION
AB Consequence of the sea level rise (SLR) on the Mediterranean coastal areas in Egypt, particularly the Nile River Delta, has become an issue of major concern to Egypt's population and the government. Previous publications disregard the entire Mediterranean coast of Egypt as an integral unit subject to the impacts of the SLR. This study aims to analyzing the risks, ranking the vulnerability and suggesting adaptation measures to mitigate the impact of the SLR along the Mediterranean coast of Egypt. Although the prominent features of Egypt's Mediterranean coastal zone are the low lying coast of the Nile Delta, associated with land subsidence, tectonic activities and erosion; the contiguous coastal sectors are backed by shore-parallel carbonate ridges and Plateau (the western coast) and sand dune belts (Sinai coast). The coastal zone is ranked as high, moderate, and low vulnerable to the SLR. The social and biophysical vulnerabilities demonstrate the asymmetrical impacts of the SLR on the Mediterranean coast of Egypt. Areas at risk in the Alexandria region are Mandara and El Tarh whereas in the Nile Delta region, they are the Manzala Lagoon barrier, east and west of the Rosetta City, Gamil, and the Tineh plain. Risk associated with these impacts may be reduced provided the consideration of immediate and adequate adaptation measures.
C1 [Frihy, Omran E.] Inst Coastal Res, Alexandria 21514, Egypt.
   [El-Sayed, Mahmoud Kh.] Univ Alexandria, Fac Sci, Dept Oceanog, Alexandria, Egypt.
C3 Egyptian Knowledge Bank (EKB); Alexandria University
RP Frihy, OE (corresponding author), Inst Coastal Res, 15 El Pharaana St, Alexandria 21514, Egypt.
EM frihyomr@yahoo.com; mkhsayed@link.net
CR [Anonymous], 2007, Climate Change 2007-The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the IPCC
   [Anonymous], 26 INT C SEAP MAR TR
   [Anonymous], 2003, Mitig. Adapt. Strateg. Glob. Chang., DOI [DOI 10.1023/A:1026015824714, 10.1023/A:1026015824714]
   Badawy A, 2005, J SEISMOL, V9, P267, DOI 10.1007/s10950-005-2190-7
   Becker RH, 2009, HOLOCENE, V19, P949, DOI 10.1177/0959683609336558
   Broadus J., 1986, EFFECTS CHANGES STRA, V4, P165
   BUTZER KW, 1960, J GEOL, V68, P626, DOI 10.1086/626701
   Church JA, 2008, BRIEFING POSTIPCC AR
   COLEMAN JM, 1981, MAR GEOL, V42, P301, DOI 10.1016/0025-3227(81)90168-7
   COUTELLIER V, 1987, MAR GEOL, V77, P257, DOI 10.1016/0025-3227(87)90116-2
   Deabes EA, 2003, THESIS, P242
   DEFRA, 2012, CLIM CHANG RISK AS 2, P114
   E-Asmar HM, 2000, QUATERNARY SCI REV, V19, P1137
   *EEA, 2005, 72005 EEA, P79
   El Raey M, 1999, CLIM RES, V12, P117, DOI 10.3354/cr012117
   El-Sayed MKh, 1996, SEA LEVEL RISE COAST, P215
   FANOS AM, 1991, COASTAL SEDIMENTS 91, VOL 2, P1547
   FRIHY OE, 1993, MAR GEOL, V115, P253, DOI 10.1016/0025-3227(93)90054-Y
   Frihy OE, 2010, J ENV EARTH SCI, V61, P1866
   Gafrd, 2007, GEN AUTHORITY FISH R
   Garziglia S, 2008, MAR GEOL, V250, P180, DOI 10.1016/j.margeo.2008.01.016
   Grinsted A, 2010, CLIM DYNAM, V34, P461, DOI 10.1007/s00382-008-0507-2
   Horton R, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032486
   IDSC UNDP, 2011, EG NAT STRAT AD CLIM, P166
   Lovkvist-Andersen AL, 2004, C SRA SOC RISK AN PA, P11
   METAP Mediterranean Environmental Technical Assistance Program, 2005, STRENGHT CAP SEL MET, P84
   Misdorp R, 1975, SEM NIL DELT SED AL, P45
   Neev D., 1985, Geological Evolution of the Mediterranean Basin, P249
   Nicholls R. S., 2008, OECD ENV WORKING PAP, V1, P10
   Nicholls RJ, 1999, GLOBAL ENVIRON CHANG, V9, pS69, DOI 10.1016/S0959-3780(99)00019-9
   Nicholls RJ, 2000, ADAPTATION FRAMEWORK
   Orlova G., 1974, GEOFORUM, V18, P68, DOI [10.1016/0016-7185(74)90007-4, DOI 10.1016/0016-7185(74)90007-4]
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Said R., 1981, The geological evolution of River Nile, DOI [DOI 10.1007/978-1-4612-5841-4, 10.1007/978-1-4612-5841-4]
   Said R., 1990, The Geology of Egypt
   Sestini G., 1992, CLIMATE CHANGE MEDIT, P533
   Sestini G, 1984, GEOLOGICAL EVOLUTION, P61
   Sestini G., 1989, Deltas: sites and traps for fossil fuels, P99, DOI [10.1144/GSL.SP.1989.041.01.09, DOI 10.1144/GSL.SP.1989.041.01.09]
   STANLEY DJ, 1993, SCIENCE, V260, P628, DOI 10.1126/science.260.5108.628
   Stanley DJ, 1997, NATURE, V388, P335, DOI 10.1038/40997
   Stanley JD, 2009, J COASTAL RES, V25, P158, DOI 10.2112/08A-0013.1
   WARNE AG, 1993, J COASTAL RES, V9, P26
   Zaghloul Z.M., 2001, Deltas: modern and ancient, P285
NR 43
TC 57
Z9 59
U1 1
U2 61
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 2013
VL 18
IS 8
BP 1215
EP 1237
DI 10.1007/s11027-012-9418-y
PG 23
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 255CE
UT WOS:000327216000008
DA 2025-01-10
ER

PT J
AU Baack, F
   Halman, J
   Kruijf, J
   Özerol, G
   Kuks, S
AF Baack, Franziska
   Halman, Johannes
   Vinke-de Kruijf, Joanne
   Ozerol, Gul
   Kuks, Stefan
TI Dutch municipalities tackling climate change adaptation to heat stress
   through mainstreaming across sectors
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Local Government; Climate Change Adaptation; Heat; IAD; Action Research
ID INSTITUTIONAL ANALYSIS; POLICY; GOVERNANCE; WATER; FRAMEWORK; DILEMMAS;
   DESIGN
AB As climate change accelerates, adapting to heat stress means preventing excess deaths, increased healthcare costs, reduced productivity, and damaged infrastructure and buildings. In cities, the urban heat island effect exacerbates these impacts. Adapting to heat stress requires action by a multitude of actors in different domains, including infrastructure and building owners, health care and social workers, and vulnerable inhabitants. While there is research on heat stress adaptation by single sectors, there is a significant knowledge gap regarding heat adaptation across sectors. To contribute to bridging this knowledge gap, we answer the following research question: To what extent and how are municipalities in the Dutch Province of Overijssel mainstreaming heat stress as part of their adaptation efforts? To answer this question, we combine action-oriented research employing the Institutional Analysis and Development Framework in a Dutch municipality, with a survey conducted among 15 municipalities located in the same province. Our research identifies two major challenges. First, the implementation of heat adaptation remains limited. Second, we identified two challenges regarding mainstreaming, namely a mismatch between the responsibility of heat adaptation in the built environment vis-a`-vis the health care sector, and a lack of information on vulnerable groups that makes cross-sectoral collaboration more difficult. Thus, the extent to which heat adaptation is being mainstreamed as part of municipalities' efforts to adapt the built environment is still quite limited and heat stress management at the intersection with the health care sector remains mostly absent, leaving vulnerable groups exposed.
C1 [Halman, Johannes; Vinke-de Kruijf, Joanne] Univ Twente, Dept Civil Engn & Management, Enschede, Netherlands.
   [Baack, Franziska; Ozerol, Gul; Kuks, Stefan] Univ Twente, Dept Technol Policy & Soc, Enschede, Netherlands.
C3 University of Twente; University of Twente
RP Baack, F (corresponding author), Univ Twente, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands.
EM f.r.baack@utwente.nl; j.i.m.halman@utwente.nl; joanne.vinke@utwente.nl;
   g.ozerol@utwente.nl; s.m.m.kuks@utwente.nl
OI Baack, Franziska/0000-0003-1343-9349
FU Province of Overijssel through the CATCH + project
FX This work was supported by the Province of Overijssel through the CATCH
   + project.
CR Adgard J., 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P1757
   [Anonymous], 2015, How to study learning in European cooperation projects? An introduction of a comparative research design
   [Anonymous], 2170 ALT
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Baack F, 2024, REG ENVIRON CHANGE, V24, DOI 10.1007/s10113-024-02214-7
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Biesbroek R, 2021, CURR OPIN ENV SUST, V52, P75, DOI 10.1016/j.cosust.2021.07.003
   Bisaro A, 2016, NAT CLIM CHANGE, V6, P354, DOI 10.1038/NCLIMATE2936
   Boezeman D, 2016, FUTURES, V76, P30, DOI 10.1016/j.futures.2015.07.008
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   BRESSERS H, 1988, INT J SOC ECON, V15, P22, DOI 10.1108/eb014101
   Bressers Hans., 2016, Governance for Drought Resilience: Land and Water Drought Management in Europe, P45, DOI [DOI 10.1007/978-3-319-29671-53, 10.1007/978-3-319-29671-5_3, DOI 10.1007/978-3-319-29671-5_3]
   Brown R., 2016, MOVING WATER SENSITI
   Centraal Bureau voor de Statistiek, 2023, Inwoners per gemeente
   Centraal Bureau voor de Statistiek, 2019, More deaths during recent heat wave
   Chu E, 2018, URBAN PLAN, V3, P128, DOI 10.17645/up.v3i2.1292
   Cockburn J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08109-210128
   Coreau A, 2020, ENVIRON SCI POLICY, V113, P55, DOI 10.1016/j.envsci.2017.03.006
   Costello G.J., 2012, INT C INF SYST 2011, V1, P871
   Cox M, 2010, ECOL SOC, V15
   Crona BI, 2012, ECOL SOC, V17, DOI 10.5751/ES-04534-170132
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   Davison RM, 2021, J ASSOC INF SYST, V22, P851, DOI 10.17705/1jais.00682
   Davison RM, 2022, INFORM SYST J, V32, P573, DOI 10.1111/isj.12363
   de Visser M, 2022, BMJ OPEN, V12, DOI 10.1136/bmjopen-2021-058185
   DeCaro DA, 2013, ECOL SOC, V18, DOI 10.5751/ES-05837-180440
   Deventer Municipality, 2021, Deventer Klimaatadaptatieprogramma: Samen werken aan een prettige en gezonde leefomgeving
   Deventer Municipality, 2019, Promotie van gezondheid: een kwestie van doen! Veerkracht, verbinding en focus voor een gezonder Deventer. Gezondh. Deventer 2019-2022
   Deventer Municipality, 2019, Opgave, ambitie en aanpak Klimaatadaptatie Deventer: Concept (Bestuurlijk nog niet vastgesteld)
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Ford RM, 2021, ENVIRON SCI POLICY, V124, P656, DOI 10.1016/j.envsci.2021.08.011
   Fowler L, 2019, GOVERNANCE, V32, P403, DOI 10.1111/gove.12382
   Graaff R. de, 2018, Risicodialoog Ruimtelijke Adaptatie: Onderzoek naar ervaringen met het voeren van de risicodialoog
   Hoppe T, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090847
   Iungman T, 2023, LANCET, V401, P577, DOI 10.1016/S0140-6736(22)02585-5
   Juhola SK, 2022, ECOL SOC, V27, DOI 10.5751/ES-13664-270441
   Kamperman H, 2017, WATER RESOUR MANAG, V31, P4557, DOI 10.1007/s11269-017-1765-8
   Kawulich B.B., 2005, FORUM QUALITATIVE SO, V6, P1, DOI [https://doi.org/10.17169/fqs-6.2.466, 10.17169/fqs-6.2.466, DOI 10.17169/FQS-6.2.466]
   Kellner E, 2023, SUSTAIN SCI, V18, P135, DOI 10.1007/s11625-022-01170-7
   Keskitalo ECH, 2016, CLIMATE, V4, DOI 10.3390/cli4010007
   Klimaateffectatlas, 2023, Sociale kwetsbaarheid hitte
   Klok EJ, 2018, URBAN CLIM, V23, P342, DOI 10.1016/j.uclim.2016.10.005
   Knoppen D, 2021, ENVIRON SCI POLICY, V125, P231, DOI 10.1016/j.envsci.2021.09.002
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Kuks S., 2001, BELEIDSWETENSCHAP, V15, P76
   Kuks S.M., 2000, 2 POL SCI U FLOR CST
   Kuks S.M., 2004, Schone technologie en milieubeleid, V7
   Lauwaet D., 2018, One Ecosyst., V3, DOI [10.3897/oneeco, DOI 10.3897/ONEECO]
   Lee AS, 2007, INTEGR SER INFORM SY, V13, P43, DOI 10.1007/978-0-387-36060-7_3
   Lee T, 2015, URBAN CLIM, V14, P566, DOI 10.1016/j.uclim.2015.09.003
   Lesnikowski A, 2021, ENVIRON POLIT, V30, P753, DOI 10.1080/09644016.2020.1814045
   Lesnikowski A, 2019, CLIMATIC CHANGE, V156, P447, DOI 10.1007/s10584-019-02533-3
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   Mårtensson P, 2004, MIS QUART, V28, P507
   Massey E, 2016, REG ENVIRON CHANGE, V16, P553, DOI 10.1007/s10113-015-0771-8
   McGinnis MD, 2011, POLICY STUD J, V39, P169, DOI 10.1111/j.1541-0072.2010.00401.x
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Mees H, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.1080754
   Mees HLP, 2019, ENVIRON POLICY GOV, V29, P198, DOI 10.1002/eet.1847
   Mees HLP, 2015, REG ENVIRON CHANGE, V15, P1065, DOI 10.1007/s10113-014-0681-1
   Ministerie van 2022. Infrastructuur en Waterstaat, 2022, Evaluatie NAS. Aanbevelingen voor versnelde uitvoering van de Nationale klimaatadaptatiestrategie
   Ministerie van Infrastructuur en Waterstaat, 2023, Nationaal Uitvoeringsprogramma Klimaatadaptatie: Slimmer, intensiever, voor en door iedereen
   Ministerie van Infrastructuur en Waterstaat, 2018, Uitvoeringsprogramma 2018-2019: Nationale klimaatadaptatie strategie (NAS)
   Ministerie van Infrastructuur en Waterstaat & Ministerie van Economische Zaken en Klimaat, 2017, Delta Programme 2018: Continuing the Work on a Sustainable and Safe Delta
   Montoya MJ, 2011, QUAL HEALTH RES, V21, P1000, DOI 10.1177/1049732311403500
   National Deltaprogramma, 2024, Ronde 1 | 4 Sessie Een nieuwe DPRA-cyclus: de impuls (regeling) voorbij
   Neef R, 2023, EUR PLAN STUD, V31, P1612, DOI 10.1080/09654313.2022.2085030
   Novo P, 2014, WATER POLICY, V16, P1009, DOI 10.2166/wp.2014.188
   Ortiz-Riomalo JF, 2023, SUSTAIN SCI, V18, P79, DOI 10.1007/s11625-022-01215-x
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Özerol G, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102066
   Pot WD, 2024, J ENVIRON PLANN MAN, V67, P1104, DOI 10.1080/09640568.2022.2153331
   Reckien D, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf07a
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Ripamonti S, 2016, J MANAGE INQUIRY, V25, P55, DOI 10.1177/1056492615584972
   Roggero M, 2018, J I ECON, V14, P423, DOI 10.1017/S1744137417000376
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Rutte RJ, 2014, BULL KNOB, V113, P113
   Samen Gezond in Deventer, 2023, Speerpunten-Samen Gezond Deventer
   Samen Gezond in Deventer, 2020, Terugblik Inspiratiesessie Gezonde leefomgeving
   Schlager E., 2023, Theories of the Policy Process, P196, DOI DOI 10.4324/9781003308201-8
   Steeneveld GJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014612
   Stichting Climate Adaptation Services, 2024, Sociale kwetsbaarheid hitte-Klimaateffectatlas
   Swart R, 2014, J ENVIRON POL PLAN, V16, P55, DOI 10.1080/1523908X.2013.817947
   Tauw, 2019, Hittestress Deventer-Map
   ten Brinke N, 2022, CLIM POLICY, V22, P1155, DOI 10.1080/14693062.2022.2111293
   van Buuren M.W., 2017, Vormgeven aan uitnodigend bestuur: Pleidooi voor een ontwerpgerichte bestuurskunde
   van den Berg M.M., 2013, Policy making on an uncertain climate: Adaptation to climate change by local governments
   van den Ende MA, 2023, J ENVIRON PLANN MAN, V66, P2903, DOI 10.1080/09640568.2022.2092724
   van der Heijden J, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100005
   van der Strate E., 2018, Regenwaterambassadeurs om afkoppelen in Deventer te stimuleren: Website Klimaatadaptatie Nederland
   Villamayor-Tomas S, 2019, ENVIRON SCI POLICY, V97, P44, DOI 10.1016/j.envsci.2019.03.009
   Warbroek B, 2023, SUSTAIN SCI, V18, P97, DOI 10.1007/s11625-022-01272-2
   Waterschap Vechtstromen, 2022, CATCH Interreg VB North Sea Region Programme
   Wiering M, 2017, ENVIRON SCI POLICY, V73, P12, DOI 10.1016/j.envsci.2017.03.002
   Wittmayer JM, 2014, CRIT POLICY STUD, V8, P465, DOI 10.1080/19460171.2014.957336
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Zuurbier M, 2021, SCI TOTAL ENVIRON, V766, DOI 10.1016/j.scitotenv.2020.144376
NR 100
TC 0
Z9 0
U1 7
U2 7
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD OCT
PY 2024
VL 160
AR 103845
DI 10.1016/j.envsci.2024.103845
EA JUL 2024
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA A7T0E
UT WOS:001284511300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Forino, G
   von Meding, J
   Brewer, G
   van Niekerk, D
AF Forino, Giuseppe
   von Meding, Jason
   Brewer, Graham
   van Niekerk, Dewald
TI Climate Change Adaptation and Disaster Risk reduction integration:
   Strategies, Policies, and Plans in three Australian Local Governments
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
ID SYNERGIES
AB Climate Change Adaptation (CCA) and Disaster Risk Reduction (DRR) integration is a pressing concern for Australia. Normative instruments such as Strategies, Policies, and Plans are among the principal ways that Local Governments (LGs) use to promote CCA & DRR integration. To understand how CCA & DRR integration is promoted into Strategies, Policies, and Plans by Australian LGs, the paper performs a content analysis of documents in Singleton, Newcastle, and Lake Macquarie -three LGs located in the Hunter region, New South Wales (NSW). Findings indicate that: (i) the three selected LGs recognize that climate change exacerbates frequency and intensity for hazards; (ii) some documents include common goals for promoting CCA, showing synergies among different topics; (iii) documents recommend CCA measures for several aspects of the built environment, including land-use, building standards, and infrastructure and asset materials; and, (iv) public participation mechanisms were proposed to enact CCA measures. While these measures are important, understanding how CCA will be implemented is still necessary. Fragmentation exists between CCA goals in these LGs and future programs by the NSW government for the built environment in the Hunter region. Additionally, efforts are required to understand how public participation mechanisms can contribute to addressing vulnerabilities to climate changerelated hazards. Finally, the initial evidence shows that the Lake Macquarie LG shows greater commitment in CCA & DRR integration than Newcastle and Singleton LGs. The paper demonstrates that a focus on how LGs promote CCA & DRR integration into Strategies, Policies, and Plans can extend our understanding of climate change response by LGs.
C1 [Forino, Giuseppe; von Meding, Jason; Brewer, Graham] Univ Newcastle, Sch Architecture & Built Environm, Univ Dr, Callaghan, NSW 2308, Australia.
   [van Niekerk, Dewald] North West Univ, African Ctr Disaster Studies, Potchefstroom, South Africa.
C3 University of Newcastle; North West University - South Africa
RP Forino, G (corresponding author), Univ Newcastle, Sch Architecture & Built Environm, Univ Dr, Callaghan, NSW 2308, Australia.
EM g.forino@gmail.com
RI van Niekerk, Dewald/H-6134-2012; von Meding, Jason/D-6499-2013
OI forino, giuseppe/0000-0001-6659-0742; von Meding,
   Jason/0000-0002-2040-9298
FU University of Newcastle
FX Giuseppe Forino is supported by a PhD scholarship from the University of
   Newcastle. Thanks are due to the comments provided in the following
   meetings: the seminars by the School of Architecture and Built
   Environment, University of Newcastle; and, the ANDROID Residential
   Doctoral School, 6th International Conference on Building Resilience,
   Auckland, 7-9 September 2016. The authors thank the anonymous referees
   and the editor for their comments, which substantially improved the
   article.
CR [Anonymous], 2011, Hunter & Central Coasts New South Wales-Vulnerability to climate change impacts
   [Anonymous], 2012, CITY NEWCASTLE STRAT
   [Anonymous], 2010, CITY NEWCASTLE MEREW
   [Anonymous], 2013, CITY NEWCASTLE NEWCA
   [Anonymous], 2011, CITY NEWCASTLE NEWCA
   [Anonymous], 2007, NAT CLIM CHANG AD FR
   [Anonymous], 2015, CITY NEWCASTLE LOCAL
   [Anonymous], - Global Assessment Report On Disaster Risk Reduction
   [Anonymous], 2015, CITY NEWCASTLE OPERA
   [Anonymous], POT IMP CLIM CHANG H
   [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, CITY NEWCASTLE NEWCA
   [Anonymous], 2004, CITY NEWCASTLE SUSTA
   [Anonymous], LAK MACQ WAT FLOOD R
   Australian Government, 2015, National Climate Resilience and Adaptation Strategy
   Becker P, 2013, JAMBA-J DISASTER RIS, V5, DOI 10.4102/jamba.v5i2.68
   Begum RA, 2014, INT J DISAST RISK RE, V10, P362, DOI 10.1016/j.ijdrr.2014.10.011
   Bendito A, 2016, INT J DISAST RISK SC, V7, P430, DOI 10.1007/s13753-016-0102-9
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bosomworth K., 2014, LEARNING ANAL POLICY, P269
   CARLEY K, 1993, SOCIOL METHODOL, V23, P75, DOI 10.2307/271007
   City of Newcastle, 2022, Newcastle Heritage Policy
   City of Newcastle, 2020, Heritage Strategy 20202030
   Cleugh H., 2011, 3066 CSIRO COLL VIC
   COAG, 2008, NAT CLIM CHANG AD FR
   Commission N.P.A, 2015, NSW PLANN ASS COMM D, V4
   Commonwealth of Australia Australia's Constitution, 2010, OV NOT AUSTR GOV SOL
   Council of Australian Governments (COAG), 2011, NAT STRAT DIS RES BU
   Creswell J.W., 2013, Research design pendekatan kualitatif, kuantitatif, dan mixed
   de Leon EG, 2017, CLIM DEV, V9, P471, DOI 10.1080/17565529.2016.1174659
   Djalante R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P166, DOI [10.1108/17595901211245260, DOI 10.1108/17595901211245260]
   Evans G., 2008, ECOLOGY SOC, V13, P1, DOI DOI 10.5751/ES-02460-130139
   Fallon DSM, 2014, AUST GEOGR, V45, P221, DOI 10.1080/00049182.2014.899030
   Forino G., 2017, HDB DISASTER RISK RE
   Forino G, 2015, INT J DISAST RISK SC, V6, P372, DOI 10.1007/s13753-015-0076-z
   Future City Group, 2012, PLAC MAK TOOLK CIT N
   Gero A, 2011, CLIM DEV, V3, P310, DOI 10.1080/17565529.2011.624791
   Heazle M, 2013, ENVIRON SCI POLICY, V33, P162, DOI 10.1016/j.envsci.2013.05.009
   Howes M., 2012, CHALLENGE INTEGRATIN
   Howes M., 2013, Rethinking disaster risk management and climate change adaptation
   Howes M, 2015, J ENVIRON PLANN MAN, V58, P757, DOI 10.1080/09640568.2014.891974
   Kelman I, 2015, INT J DISAST RISK SC, V6, P117, DOI 10.1007/s13753-015-0046-5
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   King D, 2016, INT J DISASTER RESIL, V7, P158, DOI 10.1108/IJDRBE-03-2015-0009
   Krippendorff K., 2012, CONTENT ANAL
   Lake Macquarie City Council, 2011, SUST MAN AB CULT HER
   Lake Macquarie City Council, 2003, N WALL PEN MAST BUSH
   Lake Macquarie City Council, 2012, VERT PEST MAN STRAT
   Lake Macquarie City Council, 2012, CONSTR ENV MAN PLAN
   Lake Macquarie City Council, 2013, ASS MAN STRAT ASS MA
   Lake Macquarie City Council, 2013, FOOTP STRAT 2013 202
   Lake Macquarie City Council, 2013, DRAFT COMM STRAT PLA
   Lake Macquarie City Council, 2012, GREENH GAS EM RED TA
   Lake Macquarie City Council, 2014, MOR STREETSC MAST PL
   Lake Macquarie City Council, 2015, PLANN FUT FLOOD RISK, V1
   Lake Macquarie City Council, 2014, ENV SUST ACT PLAN 20
   Lake Macquarie City Council, 2015, SWANS STREETSC MAST
   Lake Macquarie City Council, 2014, DRAFT LAK MACQ ZON M
   Lake Macquarie City Council, 2016, WAT FLOOD TID IN COU
   Lake Macquarie City Council, 2014, ENV SUST POL COUNC P
   Lake Macquarie City Council, 2014, LAK MACQ DEV CONTR P
   Lake Macquarie City Council, 2015, LAK MACQ CIT COUNC D
   Lake Macquarie City Council, 2015, WARN BAY STREETSC MA
   Lake Macquarie City Council, LIF 2030 STRAT
   Lake Macquarie City Council, 2014, BETT BUILD STRAT COM
   Lake Macquarie City Council and Climate Ready Dora Creek, 2012, PRIOR ACT 2010 2012
   McManus P, 2014, URBAN CLIM, V10, P1, DOI 10.1016/j.uclim.2014.08.003
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Nalau J., 2015, CLIM DEV, P1
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Naumann D., 2015, E COAST STORM FL APR
   Newcastle Bush Fire Management Committee, 2012, BUSH FIR RISK MAN PL
   NSW, 2015, DRAFT HUNT REG PLAN
   NSW, 2014, LAK MACQ LOC ENV PLA
   NSW, 2015, DRAFT GROW HUNT CIT
   NSW Office of Environment and Heritage, 2015, NSW LOC GOV PROGR NE
   NSW Office of Environment and Heritage, 2014, HUNT CLIM CHANG SNAP
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Pilli-Sihvola K, 2016, INT J DISAST RISK RE, V19, P461, DOI 10.1016/j.ijdrr.2016.07.010
   Reisinger A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1371
   Rivera C, 2014, INT J DISAST RISK RE, V7, P78, DOI 10.1016/j.ijdrr.2013.12.008
   Roberts E, 2015, NAT CLIM CHANGE, V5, P1024, DOI 10.1038/nclimate2776
   Rogers P, 2011, AUST J EMERG MANAG, V26, P54
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Serrao-Neumann S, 2015, ENVIRON SCI POLICY, V50, P46, DOI 10.1016/j.envsci.2015.01.017
   Serrao-Neumann S, 2015, J ENVIRON PLANN MAN, V58, P1196, DOI 10.1080/09640568.2014.920306
   Sewell T, 2016, SCI REP-UK, V6, DOI 10.1038/srep36369
   Singleton Council, 2015, SINGL HOUS ACC SIGN
   Singleton Council, 2013, FLYING FOX MAN STRAT
   Singleton Council, 2008, SINGL LAND US STRAT
   Singleton Council, 2010, DROUGHT MAN EM RESP
   Singleton Council, 2012, SINGL FLOODPL RISK M
   Singleton Council, 2015, SINGL LIF PLAN OLD P
   Singleton Council, 2014, SINGL DEV CONTR PLAN
   Singleton Council, 2013, TRANSP INFR ASS MAN
   The City of Newcastle, 2003, CITY NEWCASTLE FLOOD
   The City of Newcastle, 2012, CITY NEWCASTLE NEWCA
   The City of Newcastle, 2015, CITY NEWCASTLE SOCIA
   The City of Newcastle, 2010, CITY NEWCASTLE NEWCA
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Torabi E., 2017, URBAN POLICY RES, P1
   UNDESA, 2015, SUST DEV GOALS
   UNISDR, 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   Verdon-Kidd DC, 2016, J SO HEMISPH EARTH, V66, P152
   Westra S., 2016, CLIM CHANGE
   Zurita MDM, 2015, ENVIRON POLICY GOV, V25, P386, DOI 10.1002/eet.1681
NR 107
TC 39
Z9 41
U1 2
U2 20
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD SEP
PY 2017
VL 24
BP 100
EP 108
DI 10.1016/j.ijdrr.2017.05.021
PG 9
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA FL0XM
UT WOS:000413936100012
DA 2025-01-10
ER

PT J
AU Lei, YR
   Finlayson, CM
   Thwaites, R
   Shi, GQ
   Cui, LJ
AF Lei, Yinru
   Finlayson, C. Max
   Thwaites, Rik
   Shi, Guoqing
   Cui, Lijuan
TI Using Government Resettlement Projects as a Sustainable Adaptation
   Strategy for Climate Change
SO SUSTAINABILITY
LA English
DT Article
DE climate change; government resettlement projects; sustainable;
   adaptation; maladaptation
ID MIGRATION; VULNERABILITY; POVERTY
AB Given that increasing migration has been addressed as a major consequence of climate change, a growing number of scholars suggest that the planned relocation of people or Government Resettlement Projects (GRPs) should be included in climate change adaptation. This paper reviews the status of climate change and environmentally induced migration in China, and then presents an empirical case study in Shangnan County in northwest China, where a specific GRP called the Massive Southern Shaanxi Migration Program' (MSSMP) has been initiated in response to climate change-related impacts. The results showed that the MSSMP helped local residents to adapt better climate change by reducing exposures to risk, enabling mobility, providing financial incentives, raising living standards, and improving emotional status. Furthermore, the MSSMP added additional benefits for migrants compared with traditional GRPs by respecting voluntary participation, preparing for future risks, and reducing social isolation via a short relocation distance. However, GRPs could also be seen as a maladaptation to climate change because they disproportionately increase the burden on the most vulnerable community members, such as those who are financially disadvantaged, new migrants, and people who are left behind. The paper further suggests that the GRPs should be designed by involving multiple adaptation strategies as supplements for GRPs, and broadening the political schemes to consider the special needs of vulnerable groups. This study contributes to an understanding of the roles of GRPs in sustainable climate change adaptation, thereby facilitating the design, organization, and implication of future similar programs.
C1 [Lei, Yinru; Cui, Lijuan] Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China.
   [Lei, Yinru; Cui, Lijuan] Beijing Key Lab Wetland Ecol Funct & Restorat, Beijing 100091, Peoples R China.
   [Lei, Yinru; Cui, Lijuan] Beijing Hanshiqiao Natl Wetland Ecosyst Res Stn, Beijing 101399, Peoples R China.
   [Lei, Yinru; Finlayson, C. Max; Thwaites, Rik] Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW 2640, Australia.
   [Lei, Yinru; Thwaites, Rik] Charles Sturt Univ, Sch Environm Sci, Albury, NSW 2640, Australia.
   [Shi, Guoqing] Natl Res Ctr Resettlement, Nanjing 210098, Jiangsu, Peoples R China.
C3 Chinese Academy of Forestry; Institute of Wetland Research, CAF; Charles
   Sturt University; Charles Sturt University
RP Finlayson, CM (corresponding author), Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW 2640, Australia.
EM leiyinru@126.com; mfinlayson@csu.edu.au; rthwaites@csu.edu.au;
   gshi1@126.com; lkyclj@126.com
RI Finlayson, Colin/S-5031-2019
OI Lei, Yinru/0000-0003-4728-1308; Finlayson, Colin
   Maxwell/0000-0001-9991-7289; Shi, Guoqing/0000-0003-4499-074X; Thwaites,
   Richard/0000-0001-9343-039X
FU Charles Sturt University; Institute of Wetland Research
FX This paper forms part of the primary author's PhD research. We are
   grateful for the financial sponsorship of Charles Sturt University and
   the Institute of Wetland Research. We thank the government officials who
   provided help during the survey, and all those who participated in the
   interviews in Shangnan County.
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Altman Irwin., 1992, Place Attachment
   [Anonymous], 2005, STAT COUNC UN 5 YEAR
   [Anonymous], 2014, Synthesis Report, Summary for Policymakers
   [Anonymous], POPULATION ENV, DOI DOI 10.1023/B:P0EN.0000039067.43303.66
   [Anonymous], LINKAGES FLOODING MI
   [Anonymous], 2004, INVOLUNTARY RESETTLE
   [Anonymous], J SOCIAL SCI EDITION
   [Anonymous], 1996, 8 MAIN RISKS IMPOVER
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Asian Development Bank, 2012, ADDR CLIM CHANG MOGR
   Baettig MB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031628
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Barnett J., 5270 WPS
   Barnett J, 2012, NAT CLIM CHANGE, V2, P8, DOI 10.1038/nclimate1334
   Bettini G, 2017, GLOB POLICY, V8, P33, DOI 10.1111/1758-5899.12404
   Biermann F., 2012, Climate change, human security and violent conflict, P291
   Cao Z. J., 2016, HOHAI U J PHILOS SOC, V18, P52
   Cernea M. M., 2000, ECON POLIT WEEKLY, V41, P3659, DOI DOI 10.2307/4409836
   Cernea MM, 1996, REF FOR MIG ST, V2, P13
   Chen S. J., 2012, ACADEME, V173, P60
   Chinese Academy of Sciences, 2007, CHIN NAT CLIM CHANG
   de Haan A, 1999, J DEV STUD, V36, P1, DOI 10.1080/00220389908422619
   De Haan A., 2000, LIVELIHOODS RIGHTS R
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Ding Y., 2006, Advances in Climate Change Research, V2, P1, DOI DOI 10.1016/0360-1285(76)90008-3
   Ellis F., 2003, LIVELIHOODS APPROACH
   Ezra M., 2001, International Journal of Population Geography, V7, P259, DOI 10.1002/ijpg.226
   Fan C.C., 2008, The China Quarterly, V196, P924
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Ferris E., 2011, P CLIM CHANG MIGR AS
   Ferris E., 2011, Climate change and internal displacement: a contribution to the discussion
   Ferris Elizabeth., 2015, SAIS Review of International Affairs, V35, P109, DOI DOI 10.1353/SAIS.2015.0001
   [高茂盛 Gao Maosheng], 2012, [西北农业学报, Acat Agriculturae Boreali-Occidentalis Sinica], V21, P202
   Gao MaoSheng Gao MaoSheng, 2012, Journal of China Agricultural University, V17, P149
   Gemenne F, 2011, GLOBAL ENVIRON CHANG, V21, pS41, DOI 10.1016/j.gloenvcha.2011.09.005
   Intergovernmental Panel on Climate Change, 2007, CLIM CHANG 2007 IMP, V4
   International Organization for Migration & United Nation University Climate Change, 2010, ENV MIGR FREQ ASK QU
   IPCC, 1990, POL MAK SUMM POT IMP
   Lei YR, 2016, R ST DEVEL DISPLACE, P191
   Mayer B., 2011, P IN CLIM AD RES UND
   Mayer B, 2014, REFUGE, V29, P27
   McAdam Jane, 2010, CLIMATE CHANGE DISPL, P86
   McGuire LC, 2007, DISASTERS, V31, P49, DOI 10.1111/j.1467-7717.2007.00339.x
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   National Bureau of Statistics of China, 2013, CHIN SYAT YEAR BOOK
   NBSC, 2011, Provincal Greenhouse Gas Inventory Preparation Guidelines (Trial)
   Qin D., 2011, 2 NATL ASSESSMENT RE
   Renaud Fabrice., 2007, Control, Adapt Or Flee: How to Face Environmental Migration?
   Samson J, 2011, GLOBAL ECOL BIOGEOGR, V20, P532, DOI 10.1111/j.1466-8238.2010.00632.x
   [桑京京 SANG Jingjing], 2011, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V25, P140
   Shaanxi Province People's Government Office, 2011, MEAS IMPL REL RES SO, V67
   Shangnan People's Government, 2012, PROGR REP REL RES WO
   Shi G., 2012, IMPACTS LARGE DAMS G, P219, DOI [10.1007/978-3-642-23571-9_10, DOI 10.1007/978-3-642-23571-9_10]
   SHRESTHA NR, 1987, WORLD DEV, V15, P329, DOI 10.1016/0305-750X(87)90017-9
   Skeldon R., 2004, More than remittances: other aspects of the relationship between migration and development
   Skeldon Ronald., 1997, MIGRATION DEV GLOBAL
   STAL M, 2009, FLOODING RELOCATION
   Statistical Bureau of Shangnan, 2013, SHANGN STAT YB 2013
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tan Y., POP ENV REARCH NETW
   Tan Y., 2009, P INT POP C MARR MOR
   Tashi GB, 2012, NOMAD PEOPLES, V16, P134, DOI 10.3167/np.2012.160110
   Warner K., 2012, GLOBAL POLICY REPORT
   Warner K, 2010, GLOBAL ENVIRON CHANG, V20, P402, DOI 10.1016/j.gloenvcha.2009.12.001
   Warner KT Afifi., 2013, Changing climate, moving people: framing migration, displacement and planned relocation
   Werz Michael., 2012, Climate Change, Migration, and Conflict: Addressing Complex Crisis Scenarios in the 21st Century
   Wilmsen B, 2016, R ST DEVEL DISPLACE, P59
   Wilmsen B, 2015, GEOFORUM, V58, P76, DOI 10.1016/j.geoforum.2014.10.016
   Wyett K, 2014, ASIA PAC POLICY STUD, V1, P171, DOI 10.1002/app5.7
   Xue LY, 2013, DEV CHANGE, V44, P1159, DOI 10.1111/dech.12054
   Zhang Y., 2011, SHAANXI PLANS MOVE 2
NR 75
TC 22
Z9 23
U1 1
U2 24
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2017
VL 9
IS 8
AR 1373
DI 10.3390/su9081373
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 FF3YT
UT WOS:000408861800088
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Dey, MM
   Rosegrant, MW
   Gosh, K
   Chen, OL
   Valmonte-Santos, R
AF Dey, Madan Mohan
   Rosegrant, Mark W.
   Gosh, Kamal
   Chen, Oai Li
   Valmonte-Santos, Rowena
TI Analysis of the economic impact of climate change and climate change
   adaptation strategies for fisheries sector in Pacific coral triangle
   countries: Model, estimation strategy, and baseline results
SO MARINE POLICY
LA English
DT Article
DE Supply-demand model; Fisheries; Climate change; Fiji; Solomon Islands;
   Vanuatu; Timor-Leste
ID FOOD SECURITY; GLOBAL OCEAN; FISH; LIMITATION; OXYGEN
AB This paper presents a supply-and-demand model for the fisheries sector developed to assess the effect of climate change and related adaptation strategies in four Pacific coral triangle (CT) countries Fiji, Solomon Islands, Timor-Leste, and Vanuatu. The modeling approach used in this paper represents climate change in terms of supply shocks, and works out its economic consequences using the microeconomic tools of supply and demand. The analysis has considered three time periods: current (represented by the average data of the three most recent available years 2006-2009), medium term (2035), and long term (2050). The study covers all fisheries and aquaculture species, grouped into six key subsectors: tuna, other oceanic finfish, coastal finfish, coastal invertebrates, freshwater finfish, and freshwater invertebrates. Results of the baseline model indicate that with rising per capita income and population, fish demand is expected to increase substantially up to 2050. In contrast to significant growth in fish demand, growth in domestic fish production is projected to be slow due to climate change and other constraints. There is a strong likelihood that many Pacific countries will become large net importers of fish under the baseline scenario (i.e., without implementing climate change adaptation strategies). Likewise, per capita consumption of domestically produced fish is projected to decline under the baseline scenario. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Dey, Madan Mohan; Chen, Oai Li] Univ Arkansas Pine Bluff, Aquaculture Fisheries Ctr Excellence, Mail Slot 4912,1200 N Univ Dr, Pine Bluff, AR 71601 USA.
   [Rosegrant, Mark W.; Valmonte-Santos, Rowena] Int Food Policy Res Inst, Environm & Prod Technol Div, Washington, DC USA.
   [Gosh, Kamal] Auburn Univ, Sch Fisheries Aquaculture & Aquat Sci, Auburn, AL 36849 USA.
C3 University of Arkansas System; University Arkansas Pine Bluff; CGIAR;
   International Food Policy Research Institute (IFPRI); Auburn University
   System; Auburn University
RP Dey, MM (corresponding author), Univ Arkansas Pine Bluff, Aquaculture Fisheries Ctr Excellence, Mail Slot 4912,1200 N Univ Dr, Pine Bluff, AR 71601 USA.
EM deym@uapb.edu
OI Gosh, Kamal/0000-0003-2979-2526; Dey, Madan/0000-0001-5273-2789
FU Asian Development Bank (ADB) Technical Assistance on "Strengthening
   Coastal and Marine Resources Management in the Coral Triangle of the
   Pacific (Phase 2)" [7753]; United States Agency for International
   Development (USAID)
FX This work was funded by the Asian Development Bank (ADB) Technical
   Assistance 7753 on "Strengthening Coastal and Marine Resources
   Management in the Coral Triangle of the Pacific (Phase 2)" and by the
   United States Agency for International Development (USAID). Inputs and
   guidance from with the governments, non government organizations,
   private sector, coastal communities and other stakeholders in Fiji,
   Solomon Islands, Vanuatu and Timor-Leste are respectfully appreciated.
   Comments and suggestions from Dr. Johann Bell, Dr. Carole Engle and Dr
   Robert Pomeroy are gratefully acknowledged.
CR ADB, 2011, ADB PAC STUD SER
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Alston JM., 1995, SCI SCARCITY PRINCIP
   [Anonymous], 2013, AFR DEV IND 2012 201
   [Anonymous], PNNLSA39650
   [Anonymous], 2011, VULNERABILITY TROPIC
   [Anonymous], 2013, World Bank Report Number 83177-GLB
   [Anonymous], VULNERABILITY TROPIC
   [Anonymous], 2003, FISH 2020 SUPPLY DEM
   Asche F, 2015, WORLD DEV, V67, P151, DOI 10.1016/j.worlddev.2014.10.013
   Barange M, 2014, NAT CLIM CHANGE, V4, P211, DOI [10.1038/nclimate2119, 10.1038/NCLIMATE2119]
   Barange M., 2009, CLIMATE CHANGE IMPLI, P7
   Barange M, 2010, CURR OPIN ENV SUST, V2, P326, DOI 10.1016/j.cosust.2010.10.002
   Bell JD, 2013, NAT CLIM CHANGE, V3, P591, DOI 10.1038/NCLIMATE1838
   Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   Briones R, 2006, NEW HORIZ ENVIRON EC, P215
   Briones RM, 2006, FISH FISH, V7, P303, DOI 10.1111/j.1467-2979.2006.00228.x
   Butler JRA, 2014, MAR POLICY, V46, P1, DOI 10.1016/j.marpol.2013.12.011
   Cheung WWL, 2008, MAR ECOL PROG SER, V365, P187, DOI 10.3354/meps07414
   Cheung WWL, 2013, NAT CLIM CHANGE, V3, P254, DOI 10.1038/NCLIMATE1691
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Daw T., 2009, CLIMATE CHANGE IMPLI, V530, P107
   DEATON A, 1980, AM ECON REV, V70, P312
   Dey M. M., 2015, MAR POLICY IN PRESS
   Dey Madan M., 2005, Aquaculture Economics and Management, V9, P113, DOI 10.1080/13657300590961555
   Dey MM, 2013, FOOD POLICY, V43, P306, DOI 10.1016/j.foodpol.2013.10.003
   Dulvy N., 2011, The Economics of Adapting Fisheries to Climate Change, DOI [DOI 10.1787/9789264090415-4-EN, 10.1787/9789264090415-4-en]
   Hanna S., 2010, EC ADAPTING FISHERIE, P91, DOI [10.1787/9789264090415-5-en, DOI 10.1787/9789264090415-5-EN]
   Kobayashi M, 2015, AQUACULT ECON MANAG, V19, P282, DOI 10.1080/13657305.2015.994240
   Lam VWY, 2012, AFR J MAR SCI, V34, P103, DOI 10.2989/1814232X.2012.673294
   Lehodey P., 2011, VULNERABILITY TROPIC, P925
   Lem A., 2014, FAO Fisheries and Aquaculture Circular No. 1089, P106
   LINDNER RK, 1978, AM J AGR ECON, V60, P48, DOI 10.2307/1240160
   Martin W, 1997, ECON REC, V73, P146, DOI 10.1111/j.1475-4932.1997.tb00988.x
   MARTIN WJ, 1994, AM J AGR ECON, V76, P26, DOI 10.2307/1243917
   NORTON GW, 1981, AM J AGR ECON, V63, P685, DOI 10.2307/1241211
   Perry I., 2011, J AGR SCI SS1, V49, pS63
   Perry RI, 2010, CURR OPIN ENV SUST, V2, P356, DOI 10.1016/j.cosust.2010.10.004
   Pickering T. D., 2011, VULNERABILITY TROPIC, P925
   Pörtner HO, 2010, J EXP BIOL, V213, P881, DOI 10.1242/jeb.037523
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Pörtner HO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P411
   Pratchett M. S., 2011, VULNERABILITY TROPIC, P925
   Ricel JC, 2011, ICES J MAR SCI, V68, P1343, DOI 10.1093/icesjms/fsr041
   Rosegant M., 2015, MAR POLICY IN PRESS
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
NR 47
TC 18
Z9 20
U1 1
U2 72
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 2016
VL 67
BP 156
EP 163
DI 10.1016/j.marpol.2015.12.011
PG 8
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA DI7BX
UT WOS:000373655200016
OA hybrid
DA 2025-01-10
ER

PT J
AU Reckien, D
   Petkova, EP
AF Reckien, Diana
   Petkova, Elisaveta P.
TI Who is responsible for climate change adaptation?
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change adaptation; New York City; perception and attitudes; heat
   waves and heavy rainstorms; adaptation responsibility; differential
   climate change impacts; social vulnerability
ID NEW-YORK-CITY; HEAT-RELATED MORTALITY; HURRICANE SANDY; PRIVATE
   RESPONSIBILITIES; HEALTH IMPACTS; MENTAL-HEALTH; VULNERABILITY;
   RECOVERY; MITIGATION; BARRIERS
AB The mixture of socio-economic classes, ethnicities, and cultures that characterizes many cosmopolitan urban areas can contribute to unequally perceived impacts of extreme weather events and, hence, need and responsibility for adaptation. Awareness of these differences is, as we argue, decisive for effective adaptation. This study explores the relationship between person-specific, socio-economic characteristics that are frequently associated with social vulnerability and the perception of current affectedness by extreme weather events, future impact severity as well as adaptation need and adaptation responsibility. Weuse a large online questionnaire survey from New York City studying two extreme weather events, heatwaves and heavy rainstorms. Wefind that previous harm is the most important factor across all tested models for both weather events. However, previous harm and affectedness do not well explain the perception of future impacts, whereas they correspond to views about adaptation responsibility; respondents who felt significantly more affected in the past perceive the community to be in charge of adaptation. Women (during both weather events) and the elderly (during heatwaves) state largest affectedness during past events, and see the community as being responsible for future adaptation. Hispanic and African American respondents, on the other hand, were identified to perceive adaptation to be more of an individual task-potentially related to previous experience with (a lack of) local government services in their areas. Our findings evoke equity questions, and can aid urban decision makers aiming to implement effective and just adaptation measures, targeting vulnerable socio-economic groups in New York City and potentially other cosmopolitan areas.
C1 [Reckien, Diana] Columbia Univ, Earth Inst, Ctr Res Environm Decis, 419 Schermerhorn Hall,1190 Amsterdam Ave, New York, NY 10027 USA.
   [Petkova, Elisaveta P.] Columbia Univ, Dept Earth & Environm Sci, 609 Schermerhorn Hall,1190 Amsterdam Ave, New York, NY 10027 USA.
   [Reckien, Diana] Univ Twente, Dept Urban & Reg Planning & Geoinformat Managemen, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands.
C3 Columbia University; Columbia University; University of Twente
RP Reckien, D (corresponding author), Columbia Univ, Earth Inst, Ctr Res Environm Decis, 419 Schermerhorn Hall,1190 Amsterdam Ave, New York, NY 10027 USA.; Reckien, D (corresponding author), Univ Twente, Dept Urban & Reg Planning & Geoinformat Managemen, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands.
EM d.reckien@utwente.nl; elisaveta.petkova@columbia.edu
RI Petkova, Elisaveta/V-2588-2019; Reckien, Diana/P-7348-2015
OI Petkova, Elisaveta/0000-0003-3620-3232; Reckien,
   Diana/0000-0002-1145-9509
FU German Research Foundation (DFG) [RE 2927/2-1]; Center for Research on
   Environmental Decisions (CRED), Columbia University, USA
FX DR designed and performed the research, including data gathering and
   statistical analyses. EPP provided advice on the statistical analyses.
   DR and EPP jointly wrote the paper. The authors declare no conflict of
   interest. DR acknowledges financial support of the German Research
   Foundation (DFG)(contract RE 2927/2-1) and of the Center for Research on
   Environmental Decisions (CRED), Columbia University, USA. DR would like
   to thank the directors of CRED for their intellectual support, in
   particular Dave Krantz and Sabine Marx.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   American Association for Public Opinion Research (AAPOR), 2010, AAPOR REP ONL PAN, P82
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], HDB SUSTAINABILITY T
   [Anonymous], 2014, DEATHS ATTRIBUTED HE
   Aubrecht C, 2013, ENVIRON INT, V56, P65, DOI 10.1016/j.envint.2013.03.005
   Baron J., 2009, Thinking and deciding, V4nd
   Bautista E, 2015, LOCAL ENVIRON, V20, P664, DOI 10.1080/13549839.2014.949644
   Bautista E, 2015, SOC RES, V82, P821
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Blake R, 2000, J AM WATER RESOUR AS, V36, P279, DOI 10.1111/j.1752-1688.2000.tb04267.x
   Bruce C M, 2015, ENVIRON RES LETT, V10
   Centre for Research on the Epidemiology of Disasters (CRED), 2016, CRED CRUNCH 44 POV D
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P451, DOI 10.1007/s11027-011-9336-4
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Eysenbach G, 2002, J MED INTERNET RES, V4, DOI 10.2196/jmir.4.2.e13
   Finch C, 2010, POPUL ENVIRON, V31, P179, DOI 10.1007/s11111-009-0099-8
   Fox Susannah., 2000, The Online Health Care Revolution: How the Web Helps Americans Take Better Care of Themselves
   Furman Center For Real Estate and Urban Policy and Moelis Institute For Affordable Housing Policy, 2013, SAND EFF HOUS NEW YO, P9
   Fussell E, 2015, AM BEHAV SCI, V59, P1231, DOI 10.1177/0002764215591181
   Hardman David., 2009, JUDGMENT DECISION MA
   Horton R, 2010, ANN NY ACAD SCI, V1196, P41, DOI 10.1111/j.1749-6632.2009.05314.x
   Horton RM, 2011, J APPL METEOROL CLIM, V50, P2247, DOI 10.1175/2011JAMC2521.1
   Howe PD, 2013, NAT CLIM CHANGE, V3, P352, DOI [10.1038/nclimate1768, 10.1038/NCLIMATE1768]
   Kinney PL, 2015, ANN NY ACAD SCI, V1336, P67, DOI 10.1111/nyas.12588
   Klinenberg E, 2003, HEAT WAVE SOCIAL AUT, P320
   Klinenberg E., 2002, HEAT WAVE SOCIAL AUT
   Knowlton K, 2007, AM J PUBLIC HEALTH, V97, P2028, DOI 10.2105/AJPH.2006.102947
   Lane K, 2013, J ENVIRON PUBLIC HEA, V2013, DOI 10.1155/2013/913064
   Lane K, 2014, J URBAN HEALTH, V91, P403, DOI 10.1007/s11524-013-9850-7
   Leal Filho W, 2015, HDB CLIMATE CHANGE A, V1
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Lehrer Jonah., 2009, How We Decide
   Lin S, 2012, ENVIRON HEALTH PERSP, V120, P1571, DOI 10.1289/ehp.1104728
   Lund A, 2017, LAERD STAT ULTIMATE
   Madajewicz M, 2016, VULNERABILITY COASTA, P1
   Manuel J, 2013, ENVIRON HEALTH PERSP, V121, pA152, DOI 10.1289/ehp.121-a152
   Marilyn C M, 2015, ENVIRON RES LETT, V10
   Martin SA, 2015, INT J DISAST RISK RE, V12, P53, DOI 10.1016/j.ijdrr.2014.12.001
   Mayor'sOffice of Operations, 2017, NEW YORK CIT GOV POV
   McLaughlin KA, 2009, J AM ACAD CHILD PSY, V48, P1069, DOI 10.1097/CHI.0b013e3181b76697
   Mees H, 2017, J ENVIRON POL PLAN, V19, P374, DOI 10.1080/1523908X.2016.1223540
   Mees HLP, 2015, REG ENVIRON CHANGE, V15, P1065, DOI 10.1007/s10113-014-0681-1
   Mees HLP, 2012, J ENVIRON POL PLAN, V14, P305, DOI 10.1080/1523908X.2012.707407
   Metzger KB, 2010, ENVIRON HEALTH PERSP, V118, P80, DOI 10.1289/ehp.0900906
   Meyer R., 2017, The Ostrich Paradox: Why We Underprepare for Disasters
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   National Weather Service, 2018, WEATH FAT 2017
   National Weather Service, 2017, WEATH FAT 2017
   Neria Y, 2012, JAMA-J AM MED ASSOC, V308, P2571, DOI 10.1001/jama.2012.110700
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Petkova E. P., 2018, Disaster Medicine and Public Health Preparedness, V12, P172, DOI 10.1017/dmp.2017.57
   Petkova EP, 2014, EPIDEMIOLOGY, V25, P554, DOI 10.1097/EDE.0000000000000123
   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]
   Reckien D, 2018, CLIMATE CHANGE UNPUB
   Reckien D, 2018, CLIMATE CHANGE CITIE
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Rodin Judith., 2014, RESILIENCE DIVIDEND
   Romero-Lankao P, 2012, GLOBAL ENVIRON CHANG, V22, P670, DOI 10.1016/j.gloenvcha.2012.04.002
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Scally J, 2011, AUST GEOGR, V42, P387, DOI 10.1080/00049182.2012.619954
   Semenza JC, 2008, AM J PREV MED, V35, P479, DOI 10.1016/j.amepre.2008.08.020
   Slovic P., 2000, The Perception of Risk, DOI [10.4324/9781315661773, DOI 10.4324/9781315661773]
   Solecki W, 2012, ENVIRON URBAN, V24, P557, DOI 10.1177/0956247812456472
   Subaiya S, 2014, AM J PUBLIC HEALTH, V104, P632, DOI 10.2105/AJPH.2013.301668
   UNISDR, 2009, GLOB ASS REP DIS RIS, P207
   van Kasteren Y, 2014, J ENVIRON PSYCHOL, V40, P339, DOI 10.1016/j.jenvp.2014.09.001
   Weisler RH, 2006, JAMA-J AM MED ASSOC, V296, P585, DOI 10.1001/jama.296.5.585
   Whitmarsh L, 2013, INT J MEDIA CULT POL, V9, P7, DOI 10.1386/macp.9.1.7_1
NR 72
TC 23
Z9 23
U1 2
U2 36
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD JAN
PY 2019
VL 14
IS 1
AR 014010
DI 10.1088/1748-9326/aaf07a
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 HI1KA
UT WOS:000456203000001
OA Green Published, gold
DA 2025-01-10
ER

PT B
AU Cesar, HSJ
   van Beukering, PJH
AF Cesar, Herman S. J.
   van Beukering, Pieter J. H.
BE Davin, TB
   Brannet, AP
TI ECONOMIC ANALYSIS OF LOCAL AND GLOBAL THREATS TO CARIBBEAN CORAL REEFS
SO CORAL REEFS: BIOLOGY, THREATS AND RESTORATION
SE Oceanography and Ocean Engineering
LA English
DT Article; Book Chapter
ID MARINE RESERVES; FUTURE
AB Economic valuation applied to coral reef management in selected case study sites in the Caribbean was used to analyze three types of interventions coastal management, physical planning, and environmental policy For each site, both a local threat and a global threat were analyzed and costs and benefits of interventions were estimated
   In the scenario analysis for the Negril Marine Park (Jamaica), the costs and benefits of physical planning were assessed in order to assist with hotel development, set-back rules, etc The benefits of physical planning compared to 'without planning' were estimated at US$ 15 million For Hol Chan (Belize), a scenario with and without coastal management (enforcement and tourist education) was analyzed Total benefits over time were estimated to be US$ 50 4 million in the case 'with management' and US$ 46 9 million 'without management', while the associated costs exactly matched the additional benefits In the Grand Anse area (Grenada), a change in the sewerage policy (Including investments) was assessed 'With management' benefits were estimated at US$ 17 4 million compared to US$ 11 9 million 'without management' The benefit-cost rate is 2
   Climate change adaptation was assessed for the same sites For instance, with an appropriate adaptation strategy, tourism benefits in Negril could increase from US$3 million to US$ 5 million per year on average Key constraints in the above case studies are the lack of data on ecological parameters and especially the impact of threats and of management options on these parameters, as well as the enormous Inherent uncertainty associated with such assessments This was even more evident in the climate change adaptation scenarios
C1 [Cesar, Herman S. J.; van Beukering, Pieter J. H.] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam
RP Cesar, HSJ (corresponding author), PoBox 3007, NL-6802 DA Arnhem, Netherlands.
CR [Anonymous], 2003, The Economics of Worldwide Coral Reef Degradation
   [Anonymous], PROPOSED TORTUGAS 20
   Barton D. N, 1994, 1494 SMR
   Bryant D., 1998, Reefs at risk: a map-based indicator of threats to the world's coral reefs
   *BTB, 2002, TRAV TOUR STAT 2001
   CAMBERS G, 1995, ANAL BEACH CHANGES G
   CAMBERS G, 1992, 26 WORLDB LAT AM CAR
   Cesar H., 2000, COLLECTED ESSAYS EC
   Cesar H.S.J., 2002, Economic valuation of the coral reefs of Hawaii
   *CPACC, 2001, COR FISH ASS GREN CA
   *CZMAI, 2000, STAT COAST REP 1999
   Dixon J. A., 1995, Biodiversity conservation: problems and policies. Papers from the Biodiversity Programme, Beijer International Institute of Ecological Economics, Royal Swedish Academy of Sciences., P127
   DIXON JA, 1998, CORAL REEFS CHALLENG
   Dubinsky Z, 1996, GLOBAL CHANGE BIOL, V2, P511, DOI 10.1111/j.1365-2486.1996.tb00064.x
   FINLAY J, 1999, ASSESSMENT ANAL FISH
   FRANCIS CH, 1996, COASTAL ZONE MANAGEM, P35
   FRANCIS SK, 2002, THESIS U WEST INDIES
   *GNCCC, 1999, 1 NAT COMM CLIM CHAN
   Goreau T.J, 1994, CAR WAT WAST ASS C K
   GOREAU TJ, 1992, S LONG TERM DYN COR
   GOREAU TJ, 1992, NEGR MOOR BUOY WORKS, P32
   Gustavson K., 2000, Integrated Coastal Zone Management of Coral Reefs: Decision Support Modeling
   Hoegh-Guldberg O, 1999, MAR FRESHWATER RES, V50, P839, DOI 10.1071/MF99078
   HUMPHREYS H, 1998, GRENADA WASTEWATER M
   Hunte W., 1987, SURVEY CORAL REEFS N
   ISAAC C, 1997, MANAGING BEACH RESOU
   MASON M, 2000, GRENADA SCR IN PRESS
   MCFIELD MD, 2001, THESIS U SOUTH FLORI, P156
   *NEPA, 2003, NAT BIOD STRAT ACT P, pCH1
   *NRCA, 2000, JAM COUNTR ENV PROF, pCH2
   OHMAN M, 2000, COLLECTED ESSAYS EC
   POLUNIN NVC, 1993, MAR ECOL PROG SER, V100, P167, DOI 10.3354/meps100167
   ROBERTS CM, 1994, CORAL REEFS, V13, P90, DOI 10.1007/BF00300766
   Russ G.R., 1991, P601
   SPURGEON JPG, 1992, MAR POLLUT BULL, V24, P529, DOI 10.1016/0025-326X(92)90704-A
   WESTMACOTT S, 2000, ASSESSING IMPACTS 19
   Wilkinson C, 1999, AMBIO, V28, P188
   Wilkinson C., 2002, STATUS CORAL REEFS W
   WRIGHT MG, 1994, THESIS WILLIAMS COLL
   ZUBLIN, 2000, ST GEORGE MASTERPLAN
   2004, CMC NEWS B      1001
   [No title captured]
NR 42
TC 0
Z9 0
U1 0
U2 14
PU NOVA SCIENCE PUBLISHERS, INC
PI HAUPPAUGE
PA 400 OSER AVE, STE 1600, HAUPPAUGE, NY 11788-3635 USA
BN 978-1-60692-104-3
J9 OCEANOGR OCEAN ENG
PY 2009
BP 93
EP 142
PG 50
WC Engineering, Ocean; Oceanography
WE Book Citation Index – Science (BKCI-S)
SC Engineering; Oceanography
GA BSD06
UT WOS:000284128800005
DA 2025-01-10
ER

PT J
AU Ulibarri, N
   Ajibade, I
   Galappaththi, EK
   Joe, ET
   Lesnikowski, A
   Mach, KJ
   Musah-Surugu, JI
   Alverio, GN
   Segnon, AC
   Siders, AR
   Sotnik, G
   Campbell, D
   Chalastani, V
   Jagannathan, K
   Khavhagali, V
   Reckien, D
   Shang, YY
   Singh, C
   Zommers, Z
AF Ulibarri, Nicola
   Ajibade, Idowu
   Galappaththi, Eranga K.
   Joe, Elphin Tom
   Lesnikowski, Alexandra
   Mach, Katharine J.
   Musah-Surugu, Justice Issah
   Alverio, Gabriela Nagle
   Segnon, Alcade C.
   Siders, A. R.
   Sotnik, Garry
   Campbell, Donovan
   Chalastani, Vasiliki, I
   Jagannathan, Kripa
   Khavhagali, Vhalinavho
   Reckien, Diana
   Shang, Yuanyuan
   Singh, Chandni
   Zommers, Zinta
CA Global Adaptation Mapping Initiati
TI A global assessment of policy tools to support climate adaptation
SO CLIMATE POLICY
LA English
DT Article
DE Climate change adaptation; policy instruments; systematic review; Global
   Adaptation Mapping Initiative (GAMI); transformational adaptation;
   equity
ID TRANSFORMATIONAL ADAPTATION; INSTRUMENTS; MUNICIPAL; MIXES; DROUGHT;
   IMPACT; FUTURE; INSTITUTIONS; INTEGRATION; RESILIENCE
AB Governments, businesses, and civil society organizations have diverse policy tools to incentivize adaptation. Policy tools can shape the type and extent of adaptation, and therefore, function either as barriers or enablers for reducing risk and vulnerability. Using data from a systematic review of academic literature on global adaptation responses to climate change (n = 1549 peer-reviewed articles), we categorize the types of policy tools used to shape climate adaptation. We apply qualitative and quantitative analyses to assess the contexts where particular tools are used, along with equity implications for groups targeted by the tools, and the tools' relationships with transformational adaptation indicators such as the depth, scope, and speed of adaptation. We find diverse types of tools documented across sectors and geographic regions. We also identify a mismatch between the tools that consider equity and those that yield more transformational adaptations. Direct regulations, plans, and capacity building are associated with higher depth and scope of adaptation (thus transformational adaptation), while economic instruments, information provisioning, and networks are not; the latter tools, however, are more likely to target marginalized groups in their design and implementation. We identify multiple research gaps, including a need to assess instrument mixes rather than single tools and to assess adaptations that result from policy implementation. Key policy insights Information-based approaches, networks, and economic instruments are the most frequently documented adaptation policy tools worldwide. Direct regulations, plans, and capacity building are associated with higher depth and scope of adaptation, and thus more transformational adaptation. Capacity building, economic instruments, networks, and information provisioning approaches are more likely to target specific marginalized groups and thus equity challenges. There are many regions and sectors where certain tools are not widely documented (e.g. regulations and plans in Africa and Asia), representing a key research gap.
C1 [Ulibarri, Nicola] Univ Calif Irvine, Dept Urban Planning & Publ Policy, Irvine, CA 92697 USA.
   [Ajibade, Idowu] Portland State Univ, Portland, OR 97207 USA.
   [Galappaththi, Eranga K.] Virginia Polytech Inst & State Univ, Blacksburg, VA 24061 USA.
   [Joe, Elphin Tom] World Resources Inst, New Delhi, India.
   [Lesnikowski, Alexandra] Concordia Univ, Montreal, PQ, Canada.
   [Mach, Katharine J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Dept Environm Sci & Policy, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
   [Mach, Katharine J.] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA.
   [Musah-Surugu, Justice Issah] United Nations Univ, Bonn, Germany.
   [Musah-Surugu, Justice Issah] Univ Ghana, Dept Publ Adm, Accra, Ghana.
   [Alverio, Gabriela Nagle] Duke Univ, Durham, NC USA.
   [Segnon, Alcade C.] Int Crops Res Inst Semi Arid Trop, CGIAR Res Program Climate Change Agr & Food Secur, Bamako, Mali.
   [Segnon, Alcade C.] Univ Abomey Calavi, Cotonou, Benin.
   [Siders, A. R.] Univ Delaware, Newark, DE USA.
   [Sotnik, Garry] Stanford Univ, Stanford, CA 94305 USA.
   [Campbell, Donovan] Univ West Indies, Kingston, Jamaica.
   [Chalastani, Vasiliki, I] Natl Tech Univ Athens, Sch Civil Engn, Dept Water Resources & Environm Engn, Zografos, Greece.
   [Jagannathan, Kripa] Lawrence Berkeley Natl Lab, Berkeley, CA USA.
   [Khavhagali, Vhalinavho; Reckien, Diana] Univ Twente, Enschede, Netherlands.
   [Shang, Yuanyuan] Australian Natl Univ, Canberra, ACT, Australia.
   [Singh, Chandni] Indian Inst Human Settlements, Bangalore, Karnataka, India.
   [Zommers, Zinta] United Nations Off Coordinat Humanitarian Affairs, New York, NY USA.
C3 University of California System; University of California Irvine;
   Portland State University; Virginia Polytechnic Institute & State
   University; Concordia University - Canada; University of Miami;
   University of Miami; University of Ghana; Duke University; CGIAR;
   International Crops Research Institute for the Semi-Arid-Tropics
   (ICRISAT); University of Abomey Calavi; University of Delaware; Stanford
   University; University West Indies Mona Jamaica; National Technical
   University of Athens; United States Department of Energy (DOE); Lawrence
   Berkeley National Laboratory; University of Twente; Australian National
   University; Indian Institute for Human Settlements (IIHS)
RP Ulibarri, N (corresponding author), Univ Calif Irvine, Dept Urban Planning & Publ Policy, Irvine, CA 92697 USA.
EM ulibarri@uci.edu
RI Ulibarri, Nicola/AEU-3302-2022; Jagannathan, Kripa/X-6897-2019; shang,
   yuanyuan/GXT-0962-2022; Singh, Chandni/H-8384-2019; Sotnik,
   Garry/V-6155-2019; Ford, James/A-4284-2013; Reckien, Diana/P-7348-2015;
   Simpson, Nicholas/AAC-4578-2022; New, Mark/A-7684-2008; Siders,
   A.R./R-8672-2018; Segnon, Alcade C./L-3908-2016
OI Ford, James/0000-0002-2066-3456; KHAVHAGALI, VHALINAVHO
   PATTERSON/0000-0002-9553-7710; Shang, Yuanyuan/0000-0002-8405-1352;
   Galappaththi, Eranga/0000-0002-3926-2206; Chalastani, Vasiliki
   I./0000-0002-1404-0682; Reckien, Diana/0000-0002-1145-9509; Simpson,
   Nicholas/0000-0002-9041-982X; Mach, Katharine/0000-0002-5591-8148;
   Ulibarri, Nicola/0000-0001-6238-9056; Jagannathan,
   Kripa/0000-0003-4584-8358; New, Mark/0000-0001-6082-8879; Siders,
   A.R./0000-0001-6788-8313; Musah-Surugu, Justice
   Issah/0000-0002-3058-169X; Ajibade, Idowu/0000-0002-9767-0435; Sotnik,
   Garry/0000-0002-2422-1110; Segnon, Alcade C./0000-0001-9751-120X; Nagle
   Alverio, Gabriela/0000-0001-7050-3381
FU National Science Foundation (CNH2-L-RUI-ROA award) [2010014]; Portland
   State University Vision 2025; Social Sciences and Humanities Research
   Council of Canada; Fonds de recherche de Quebec-Societe et Culture;
   China Scholarship Council; Australian National University Climate Change
   Institute Supplementary Scholarship; Direct For Social, Behav & Economic
   Scie; Division Of Behavioral and Cognitive Sci [2010014] Funding Source:
   National Science Foundation
FX This work was supported by the National Science Foundation
   (CNH2-L-RUI-ROA award 2010014) (I. A.); Portland State University Vision
   2025 (I. A.); Social Sciences and Humanities Research Council of Canada
   (A. L.); Fonds de recherche de Quebec-Societe et Culture (A. L.); China
   Scholarship Council (Y. S.); Australian National University Climate
   Change Institute Supplementary Scholarship (Y. S.).
CR Af Rosenschöld JM, 2019, RESEARCH HANDBOOK ON CLIMATE CHANGE ADAPTATION POLICY, P91
   Ajibade I, 2019, CLIM DEV, V11, P850, DOI 10.1080/17565529.2019.1580557
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   Allaire MC, 2016, WATER RESOUR RES, V52, P6078, DOI 10.1002/2015WR018258
   Araos M, 2021, ONE EARTH, V4, P1454, DOI 10.1016/j.oneear.2021.09.001
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Beaudoin M, 2016, REV PANAM SALUD PUBL, V40, P160
   Béland D, 2007, SOC SCI QUART, V88, P20, DOI 10.1111/j.1540-6237.2007.00444.x
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Bhandary RR, 2021, CLIM POLICY, V21, P529, DOI 10.1080/14693062.2020.1871313
   Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Biesbroek R, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8fd1
   Biesbroek R, 2018, REV POLICY RES, V35, P881, DOI 10.1111/ropr.12309
   Biesbroek R, 2015, NAT CLIM CHANGE, V5, P493, DOI 10.1038/nclimate2615
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bowden V, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101939
   Boyer MA, 2017, LOCAL ENVIRON, V22, P67, DOI 10.1080/13549839.2016.1160372
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Caretta MA, 2014, CLIM DEV, V6, P179, DOI 10.1080/17565529.2014.886990
   Clar C, 2018, ENVIRON POLICY GOV, V28, P172, DOI 10.1002/eet.1802
   Dapilah F, 2020, CLIM DEV, V12, P42, DOI 10.1080/17565529.2019.1596063
   Del Rio P., 2013, Lee Kuan Yew School of Public Policy Research Paper
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   Eakin H, 2016, REG ENVIRON CHANGE, V16, P801, DOI 10.1007/s10113-015-0789-y
   Eliadis Pearl., 2005, Designing Government: From Instruments to Governance
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Finkbeiner EM, 2015, GLOBAL ENVIRON CHANG, V32, P139, DOI 10.1016/j.gloenvcha.2015.03.009
   Fischer A., 2021, The Global Adaptation Mapping Initiative (GAMI): Part 1-Introduction and Overview of Methods, DOI [10.21203/rs.3.pex-1240/v1, DOI 10.21203/RS.3.PEX-1240/V1]
   Fischer AP., 2021, The global adaptation mapping initiative (GAMI): part 2- screening protocol
   Flyen C, 2018, INT J DISASTER RESIL, V9, P58, DOI 10.1108/IJDRBE-10-2016-0042
   Fook TCT, 2017, CLIM DEV, V9, P5, DOI 10.1080/17565529.2015.1086294
   Gagnon-Lebrun F, 2007, CLIM POLICY, V7, P392, DOI 10.1080/14693062.2007.9685664
   HALL PA, 1993, COMP POLIT, V25, P275, DOI 10.2307/422246
   Haworth BT, 2018, CLIMATE, V6, DOI 10.3390/cli6040097
   Hendrix CS, 2017, GLOBAL ENVIRON CHANG, V43, P137, DOI 10.1016/j.gloenvcha.2017.01.009
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Hogl K, 2016, ENVIRON PLANN C, V34, P399, DOI 10.1177/0263774X16644815
   Howlett M, 2000, CAN PUBLIC ADMIN, V43, P412, DOI 10.1111/j.1754-7121.2000.tb01152.x
   Howlett M, 2018, J ASIAN PUBLIC POLIC, V11, P245, DOI 10.1080/17516234.2017.1412284
   Howlett M, 2015, ENVIRON PLANN C, V33, P1233, DOI 10.1177/0263774X15610059
   Howlett Michael., 2018, Policy Styles and Policy-Making
   Howlett Michael., 2005, DESIGNING GOVT, P31
   Hughes S, 2020, ENVIRON SCI POLICY, V111, P35, DOI 10.1016/j.envsci.2020.05.007
   Hurlbert MA, 2019, CLIM DEV, V11, P863, DOI 10.1080/17565529.2019.1585318
   Hurlbert MA, 2019, ENVIRON SCI POLICY, V93, P221, DOI 10.1016/j.envsci.2018.09.017
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Islam MZ, 2018, J INT DEV, V30, P934, DOI 10.1002/jid.3367
   Jawid A, 2019, ECON ANAL POLICY, V64, P64, DOI 10.1016/j.eap.2019.07.010
   Johnstone P, 2017, ENERGY RES SOC SCI, V33, P147, DOI 10.1016/j.erss.2017.09.005
   Kaján E, 2014, SCAND J HOSP TOUR, V14, P60, DOI 10.1080/15022250.2014.886097
   Kalaba FK, 2014, INT ENVIRON AGREEM-P, V14, P181, DOI 10.1007/s10784-013-9236-z
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kern F, 2019, RES POLICY, V48, DOI 10.1016/j.respol.2019.103832
   Khan A, 2018, CLIM POLICY, V18, P14, DOI 10.1080/14693062.2016.1228520
   Kivimaa P, 2016, RES POLICY, V45, P205, DOI 10.1016/j.respol.2015.09.008
   KOFINAS G., 2013, Arctic resilience interim report to the Arctic council, P71
   Koski C, 2016, REV POLICY RES, V33, P270, DOI 10.1111/ropr.12173
   Lesnikowski A., 2021, PROTOC EXCH, DOI [10.21203/rs.3.pex-1242/v1., DOI 10.21203/RS.3.PEX-1242/V1]
   Lesnikowski AC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044009
   Lesnikowski A, 2021, ENVIRON POLIT, V30, P753, DOI 10.1080/09644016.2020.1814045
   Lesnikowski A, 2019, CLIMATIC CHANGE, V156, P447, DOI 10.1007/s10584-019-02533-3
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Li H, 2013, WATER POLICY, V15, P1, DOI 10.2166/wp.2012.050
   Lindberg MB, 2019, RES POLICY, V48, DOI 10.1016/j.respol.2018.09.003
   Linder S.H., 1989, J PUBLIC POLICY, V9, P35, DOI [10.1017/S0143814X00007960, DOI 10.1017/S0143814X00007960]
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mees HLP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06639-190258
   Milhorance C, 2020, CLIM POLICY, V20, P593, DOI 10.1080/14693062.2020.1753640
   Moellendorf D, 2015, PHILOS COMPASS, V10, P173, DOI 10.1111/phc3.12201
   Mubaya CP, 2017, CLIM RISK MANAG, V16, P93, DOI 10.1016/j.crm.2017.03.003
   Murtinho F, 2016, INT J COMMONS, V10, P119, DOI 10.18352/ijc.585
   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
   Noblet M, 2017, INT J CLIM CHANG STR, V9, P282, DOI 10.1108/IJCCSM-04-2016-0047
   Olazabal M, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103974
   Pasaribu SM., 2016, CLIMATE CHANGE POLIC, P305, DOI [10.1007/978-4-431-55994-8_14, DOI 10.1007/978-4-431-55994-8_14]
   Patterson JJ, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102279
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Rayner J, 2017, ENVIRON POLICY GOV, V27, P472, DOI 10.1002/eet.1773
   Richardson Jeremy., 1982, Policy Styles in Western Europe, P1
   Ripley B., 2021, PACKAGE MASS VERSION
   Rogge KS, 2016, RES POLICY, V45, P132, DOI 10.1016/j.respol.2016.04.004
   Sanderson BM, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66275-4
   Schaffrin A, 2015, POLICY STUD J, V43, P257, DOI 10.1111/psj.12095
   Scheelbeek PFD, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac092c
   Schmidt TS, 2019, RES POLICY, V48, DOI 10.1016/j.respol.2018.03.012
   Schramski S, 2013, NAT HAZARDS REV, V14, P211, DOI 10.1061/(ASCE)NH.1527-6996.0000100
   Stoilova T, 2019, PLANT GENET RESOUR-C, V17, P306, DOI 10.1017/S1479262119000017
   Taylor C, 2012, ENVIRON POLICY GOV, V22, P268, DOI 10.1002/eet.1584
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Thistlethwaite J, 2017, CAN WATER RESOUR J, V42, P349, DOI 10.1080/07011784.2017.1364144
   Thistlethwaite J, 2017, RISK ANAL, V37, P744, DOI 10.1111/risa.12659
   Tompkins EL, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.545
   UNEP UNEP DTU Partnership & World Adaptation Science Programme, 2021, AD GAP REP 2020
   UNFCCC, 2015, PAR AGR
   Villamayor-Tomas S, 2017, GLOBAL ENVIRON CHANG, V47, P153, DOI 10.1016/j.gloenvcha.2017.10.002
   Xu C, 2020, P NATL ACAD SCI USA, V117, P11350, DOI 10.1073/pnas.1910114117
   Yaffa S, 2013, INT J GLOBAL WARM, V5, P467, DOI 10.1504/IJGW.2013.057286
   Zhang LJ, 2016, CHINA AGR ECON REV, V8, P613, DOI 10.1108/CAER-12-2015-0177
NR 105
TC 33
Z9 35
U1 17
U2 89
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 JAN 14
PY 2022
VL 22
IS 1
BP 77
EP 96
DI 10.1080/14693062.2021.2002251
EA NOV 2021
PG 20
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA YH7MA
UT WOS:000720170300001
OA Green Published, hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Bhattarai, S
   Regmi, BR
   Pant, B
   Uprety, DR
   Maraseni, T
AF Bhattarai, Sushma
   Regmi, Bimal Raj
   Pant, Basant
   Uprety, Dharam Raj
   Maraseni, Tek
TI Sustaining ecosystem based adaptation: The lessons from policy and
   practices in Nepal
SO LAND USE POLICY
LA English
DT Article
DE Socio-ecological resilience; Vulnerability; Policy; Mainstreaming;
   Sustainability
ID CLIMATE-CHANGE; LIVELIHOODS; REDUCTION; CARBON
AB The ecosystem based adaption (EbA) approach mobilizes ecosystem products and services to reduce people's vulnerability and improve adaptation to climate change. The approach is being tested and promoted globally including Nepal. However, there are limited studies on why EbA faces challenges of mainstreaming and wider upscaling in developing countries' policies and practices. Based on an empirical case study from the first EbA pilot project site in Nepal "Panchase Mountain Ecological Region", expert consultation, and in-depth policy analysis, this study examines the effectiveness of interventions implemented through EbA and explores "Why" questions related to mainstreaming and upscaling of EbA in Nepal. The results showed that EbA helps to reduce climate vulnerability and enhance socio-ecosystem resilience. However, it often lacks innovativeness in addressing the risk and vulnerability associated with the changing climate. Though EbA is spelled out in most of Nepal's climate change policies, it faces sustainability issues due to low priority, lack of a proper institutional mechanism, and inadequate budget provisions. The EbA related activities are implemented on a small scale, runs for a short period, and failed to demonstrate tangible impacts. The sustainability of the EbA practices in Nepal will be ensured, only if it is mainstreamed in the government's regular planning process, receives enough budget from the government, and has robust institutional mechanisms in place for implementing and monitoring EbA activities. The study's findings are expected to be useful for policymakers, practitioners, and development agencies to shape interventions to institutionalize the EbA approach in the developing countries.
C1 [Bhattarai, Sushma] Tribhuvan Univ, Inst Forestry, Kirtipur, Nepal.
   [Regmi, Bimal Raj] Oxford Policy Management Ltd, Lalitpur, Nepal.
   [Pant, Basant] Int Ctr Integrated Mt Dev ICIMOD, Patan, Nepal.
   [Uprety, Dharam Raj] Pract Act South Asia Off, Kathmandu, Nepal.
   [Maraseni, Tek] Univ Southern Queensland, Inst Life Sci & Environm, Toowoomba, Qld, Australia.
   [Maraseni, Tek] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Beijing, Peoples R China.
C3 Tribhuvan University; Institute of Forestry (IOF) - Nepal; University of
   Southern Queensland; Chinese Academy of Sciences
RP Bhattarai, S (corresponding author), Tribhuvan Univ, Inst Forestry, Kirtipur, Nepal.
EM s.bhattarai@iofpc.edu.np
RI Bhattarai, Sushma/ABA-1314-2020
OI Bhattarai, Sushma/0000-0001-8212-9120; Maraseni, Tek/0000-0001-9361-1983
CR Adhikari S, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5030042
   Andrade A., 2011, Draft principles and guidelines for integrating ecosystem-based approaches to adaptation in project and policy design: A discussion document
   [Anonymous], 2018, ADAPTATION METRICS P
   [Anonymous], 2018, IPCC Special Report on the Impacts of Global Warming of 1.5 C - Summary for Policy Makers
   [Anonymous], 2014, NEP NAT BIOD STRAT A
   [Anonymous], 2015, Adoption of the Paris Agreement
   [Anonymous], 2019, The Global Competitiveness Report 2019
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2005, MILLENIUM ECOSYSTEM
   Bhatta Laxmi D., 2015, International Journal of Biodiversity Science Ecosystem Services & Management, V11, P145, DOI 10.1080/21513732.2015.1027793
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bürgi M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081371
   Byg A, 2016, GEOJOURNAL, V81, P169, DOI 10.1007/s10708-014-9611-5
   CBD, 2009, CBD TECHNICAL SERIES, V41
   CBD, 2024, The Biodiversity Plan
   Cuevas SC, 2016, INT J CLIM CHANG STR, V8, P418, DOI 10.1108/IJCCSM-07-2015-0091
   Dhakal A, 2012, AGROFOREST SYST, V86, P17, DOI 10.1007/s10457-012-9504-x
   Donatti CI, 2020, CLIMATIC CHANGE, V158, P413, DOI 10.1007/s10584-019-02565-9
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Emerton L., 2009, Valuing biodiversity: the economic case for biodiversity conservation in the Maldives
   Friends of Ecosystem-based Adaptation (FEBA), 2017, UNFCCCSBSTA46
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   GIZ UNEP-WCMC FEBA, 2020, GUID MON EV EC BAS A
   GON/UNDP, 2016, ECOSYSTEM BASED ADAP
   Hesse-Biber S, 2013, J MIX METHOD RES, V7, P103, DOI 10.1177/1558689813483987
   Hills T., 2015, STATE ECOSYSTEM BASE
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Klein JA, 2019, ENVIRON SCI POLICY, V94, P143, DOI 10.1016/j.envsci.2018.12.034
   Krishnaprabu S., 2020, INDIAN J PURE APPL B, V8, P282, DOI [10.18782/2582-2845.8038, DOI 10.18782/2582-2845.8038]
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Maraseni TN, 2014, ECOL INDIC, V46, P315, DOI 10.1016/j.ecolind.2014.06.038
   Maraseni Tek Narayan, 2009, International Journal of Environmental Studies, V66, P591, DOI 10.1080/00207230902916190
   Midgley G., 2012, BIODIVERSITY CLIMATE
   Mills AJ, 2020, PLANTS PEOPLE PLANET, V2, P587, DOI 10.1002/ppp3.10126
   Milman A, 2017, CLIMATIC CHANGE, V142, P113, DOI 10.1007/s10584-017-1933-0
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   MoFE, 2019, LOC AD PLAN ACT LAPA
   MoFE, 2019, NATL CLIMATE CHANGE
   MOFE, 2018, NEP NAT REDD STRAT
   Mooney H, 2009, CURR OPIN ENV SUST, V1, P46, DOI 10.1016/j.cosust.2009.07.006
   Morecroft MD, 2019, SCIENCE, V366, P1329, DOI 10.1126/science.aaw9256
   Moreno-Mateos D, 2020, NAT ECOL EVOL, V4, P676, DOI 10.1038/s41559-020-1154-1
   Mori AS, 2013, BIOL CONSERV, V165, P115, DOI 10.1016/j.biocon.2013.05.020
   Munang R, 2014, ENVIRONMENT, V56, P18, DOI 10.1080/00139157.2014.861676
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   Nerini FF, 2019, NAT SUSTAIN, V2, P674, DOI 10.1038/s41893-019-0334-y
   NMA, 2007, Climate Change National Adaptation Programme of Action (NAPA) of Ethiopia
   Oglethorpe J., 2012, ECOSYST LIVELIHOODS
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Pandey SS, 2016, FOREST ECOL MANAG, V360, P400, DOI 10.1016/j.foreco.2015.09.040
   Poudyal NC, 2021, AMBIO, V50, P505, DOI 10.1007/s13280-020-01369-x
   Regmi BR, 2014, CLIM DEV, V6, P306, DOI 10.1080/17565529.2014.977760
   Reid H, 2019, IIED RES REPORT
   Reid H, 2016, CLIM DEV, V8, P4, DOI 10.1080/17565529.2015.1034233
   Reid Hannah., 2018, Ecosystem-Based Approaches To Adaptation: Strengthening The Evidence And Informing Policy Research Results From The Governance For Ecosystem-Based Adaptation: Transforming Evidence Into Change Project, El Salvador
   Rizvi A.R., 2018, 46 FEBA UNFCCCSBSTA
   Seddon N, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.8
   Sherpa SF, 2019, NAT HAZARDS, V96, P607, DOI 10.1007/s11069-018-3560-0
   Shrestha AB, 2011, REG ENVIRON CHANGE, V11, pS65, DOI 10.1007/s10113-010-0174-9
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   *WORLD BANK, 2009, CONV SOL INC TRUTH, DOI DOI 10.1596/978-0-8213-8126-7
   Woroniecki S, 2019, ECOL SOC, V24, DOI 10.5751/ES-10854-240204
NR 64
TC 11
Z9 11
U1 2
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 MAY
PY 2021
VL 104
AR 105391
DI 10.1016/j.landusepol.2021.105391
PG 10
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA RF0NZ
UT WOS:000634546400001
DA 2025-01-10
ER

PT J
AU Kourgialas, NN
AF Kourgialas, Nektarios N.
TI Hydroclimatic impact on mediterranean tree crops area - Mapping
   hydrological extremes (drought/flood) prone parcels
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Hydroclimatic extremes; SPI; Olive, citrus and avocado trees; GIS;
   Adaptability to climate change
ID STANDARDIZED PRECIPITATION INDEX; MODELS; METHODOLOGY; RAJASTHAN; CYCLE;
   RISK
AB Hydrological extremes such as droughts and floods are recognized as environmental disasters causing several negative effects especially on the agricultural section. These phenomena and their proper management have attracted the attention of hydrologists and agricultural scientists. This paper evaluates the climate change effects on hydrological extremes based on the Standardized Precipitation Index (SPI) in the North-Western part of Crete (Greece) for the period of 1960-2019. This area is considered to be one of the most important agricultural regions in the Mediterranean, dominated by tree cultivations. The climate trend line for SPI values shows slight decrease, indicating more intense dry periods for the next decades, especially for semi-mountainous areas. A notable result of this analysis is that more frequent dry and wet spells have appeared in the last three decades. In addition, a fuzzy based GIS modeling approach for estimating both droughts and floods prone areas named "SPIsERS" is developed, incorporating the special distribution of long-term time period Standardized Precipitation Index (SPIs), Evapotranspiration, Runoff accumulation and Soil available water capacity. The proposed methodology was validated for several flood and drought affected areas that have been historically recorded in the study area. According to the results 24.67% of the total tree crops parcels in the study region is prone to hydrological extremes (droughts or floods). Finally, for adapting to the inevitable adverse effects of climate change, water-saving and flood protection measures for Mediterranean tree crops areas are proposed.
C1 [Kourgialas, Nektarios N.] Hellen Agr Org HAO DEMETER, Inst Olive Tree Subtrop Crops & Viticulture, Water Recourses Irrigat & Env Geoinforrnat Lab, Agrokipio, Chania, Greece.
RP Kourgialas, NN (corresponding author), Hellen Agr Org HAO DEMETER, Inst Olive Tree Subtrop Crops & Viticulture, Water Recourses Irrigat & Env Geoinforrnat Lab, Agrokipio, Chania, Greece.
EM kourgialas@nagref-cha.gr
OI Kourgialas, Nektarios/0000-0002-1312-6185
CR Abu Hajar HA, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4590-y
   Agnew C.T., 2000, Drought Netw. News, V12, P6
   ALEXANDERSSON H, 1986, J CLIMATOL, V6, P661, DOI 10.1002/joc.3370060607
   Ali M.G., 2011, World Applied Sciences Journal, V15, P474
   Anshuka A, 2019, NAT HAZARDS, V97, P955, DOI 10.1007/s11069-019-03665-6
   Atta-ur-Rahman,, 2017, CLIM DYNAM, V48, P783, DOI 10.1007/s00382-016-3110-y
   Batisani N., 2011, Journal of Environmental Protection, V2, P803, DOI 10.4236/jep.2011.26092
   Cancelliere A., 2009, 29 ANN AM GEOPH UN H, P14
   Champagne C, 2011, REMOTE SENS ENVIRON, V115, P2434, DOI 10.1016/j.rse.2011.04.030
   Chang JX, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-016-2638-9
   Daneshvar MRM, 2013, ARAB J GEOSCI, V6, P4463, DOI 10.1007/s12517-012-0695-2
   Douville H, 2002, CLIM DYNAM, V20, P45, DOI 10.1007/s00382-002-0259-3
   Dutta D, 2013, GEOCARTO INT, V28, P192, DOI 10.1080/10106049.2012.679975
   ESRI, 2019, FUZZ MEMB
   ESRI, 2018, ARCVIEW 10 5 US MAN
   Girons Lopez M, 2015, GEOGR ANN A, V97, P167, DOI 10.1111/geoa.12094
   Hannaford J, 2011, HYDROL PROCESS, V25, P1146, DOI 10.1002/hyp.7725
   Hayes MJ, 1999, B AM METEOROL SOC, V80, P429, DOI 10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2
   Hu MC, 2017, HYDROLOG SCI J, V62, P1255, DOI 10.1080/02626667.2017.1319063
   Huntington TG, 2006, J HYDROL, V319, P83, DOI 10.1016/j.jhydrol.2005.07.003
   Jain SK, 2010, NAT HAZARDS, V54, P643, DOI 10.1007/s11069-009-9493-x
   Karavitis CA, 2011, WATER-SUI, V3, P787, DOI 10.3390/w3030787
   KeskIn M. E., 2011, Scientific Research and Essays, V6, P4469
   Keskin ME, 2009, HYDROLOG SCI J, V54, P1114, DOI 10.1623/hysj.54.6.1114
   Keyantash J, 2002, B AM METEOROL SOC, V83, P1167, DOI 10.1175/1520-0477(2002)083<1191:TQODAE>2.3.CO;2
   Klai A, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-019-5029-1
   Koubouris GC, 2017, COMMUN SOIL SCI PLAN, V48, P2687, DOI 10.1080/00103624.2017.1416395
   Kourgialas NN, 2018, SCI TOTAL ENVIRON, V625, P1290, DOI 10.1016/j.scitotenv.2018.01.051
   Kourgialas NN, 2018, SCI TOTAL ENVIRON, V615, P381, DOI 10.1016/j.scitotenv.2017.09.308
   Kourgialas NN, 2017, SCI TOTAL ENVIRON, V601, P441, DOI 10.1016/j.scitotenv.2017.05.197
   Kourgialas NN, 2016, ENVIRON SCI POLICY, V63, P132, DOI 10.1016/j.envsci.2016.05.020
   Kourgialas NN, 2015, J ENVIRON MANAGE, V154, P86, DOI 10.1016/j.jenvman.2015.02.034
   Koutroulis AG, 2011, J HYDROMETEOROL, V12, P206, DOI 10.1175/2010JHM1252.1
   Kumar S, 2016, WATER RESOUR RES, V52, P3127, DOI 10.1002/2016WR018607
   Liu CL, 2011, NAT HAZARDS, V59, P1533, DOI 10.1007/s11069-011-9850-4
   Liu XC, 2012, HYDROL PROCESS, V26, P1, DOI 10.1002/hyp.8104
   Loukas A, 2004, NAT HAZARD EARTH SYS, V4, P719, DOI 10.5194/nhess-4-719-2004
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Martínez-Mena M, 2020, CATENA, V187, DOI 10.1016/j.catena.2019.104352
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   MCKEE TB, 1995, NINTH CONFERENCE ON APPLIED CLIMATOLOGY, P233
   Micheli E., 2008, ENV ASSESSMENT SOI A, V4, P96
   Molinari D, 2019, INT J DISAST RISK RE, V33, P441, DOI 10.1016/j.ijdrr.2018.10.022
   Ntale HK, 2003, INT J CLIMATOL, V23, P1335, DOI 10.1002/joc.931
   OPEKEPE, 2015, SOIL MAP CHAN AR DEV
   OPEKEPE, 2017, GREEK PAYM AUTH COMM
   Palese AM, 2014, SOIL TILL RES, V144, P96, DOI 10.1016/j.still.2014.07.010
   Pendergrass AG, 2020, NAT CLIM CHANGE, V10, P191, DOI 10.1038/s41558-020-0709-0
   Punitha P., 2018, GEOENVIRONMENTAL DIS, V5, P1, DOI [10.1186/s40677-018-0113-5, DOI 10.1186/S40677-018-0113-5]
   Rahman G, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3396-7
   Salazar S., 2009, FLOOD RISK MANAGEMEN
   Sbai A, 2020, LECT NOTE NETW SYST, V92, P81, DOI 10.1007/978-3-030-33103-0_9
   Sohn SJ, 2013, INT J CLIMATOL, V33, P793, DOI 10.1002/joc.3464
   Subbotin I.Y., 2014, DIDACTICS MATH PROBL, V41, P84
   Svoboda M., 2012, WMO-No. 1090
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tsakiris G., 2009, DROUGHT CHARACTERISA
   Tsakiris G, 2017, WATER RESOUR MANAG, V31, P3083, DOI 10.1007/s11269-017-1698-2
   Tsakiris G, 2016, WATER RESOUR MANAG, V30, P5723, DOI 10.1007/s11269-016-1543-z
   Turner KG, 2016, ECOL MODEL, V319, P190, DOI 10.1016/j.ecolmodel.2015.07.017
   Umran KomuscuA., 1999, Drought Network News, P49
   UNDRR, 2019, Global assessment report on disaster risk reduction (GAR)
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vicente-Serrano SM, 2006, HYDROLOG SCI J, V51, P83, DOI 10.1623/hysj.51.1.83
   Vidal JP, 2009, INT J CLIMATOL, V29, P2056, DOI 10.1002/joc.1843
   Voskoglou M.G., 2015, American Journal of Applied Mathematics and Statistics, V3, P146, DOI DOI 10.12691/AJAMS-3-1-1
   Water Resources Department of the Region of Crete, 2019, SUST MAN WAT RES CRE
   Xiloyannis C, 2016, ACTA HORTIC, V1139, P425, DOI 10.17660/ActaHortic.2016.1139.74
   Yagoub MM, 2020, NAT HAZARDS, V104, P111, DOI 10.1007/s11069-020-04161-y
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zin WZW, 2013, THEOR APPL CLIMATOL, V111, P559, DOI 10.1007/s00704-012-0682-2
NR 71
TC 20
Z9 20
U1 1
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD MAY
PY 2021
VL 596
AR 125684
DI 10.1016/j.jhydrol.2020.125684
EA APR 2021
PG 13
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA RQ3PQ
UT WOS:000642334400003
DA 2025-01-10
ER

PT J
AU Mathey, J
   Rössler, S
   Banse, J
   Lehmann, I
   Bräuer, A
AF Mathey, Juliane
   Roessler, Stefanie
   Banse, Juliane
   Lehmann, Iris
   Braeuer, Anne
TI Brownfields As an Element of Green Infrastructure for Implementing
   Ecosystem Services into Urban Areas
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
DE Green urban brownfields; Urban wasteland; Urban derelict land; Abandoned
   sites; Urban green infrastructure; Ecosystem services; Urban planning;
   Landscape architecture
ID VEGETATION STRUCTURE; COMMUNITY GARDENS; LAND-USE; CITIES; SURFACE;
   MODEL; CONSERVATION; REGENERATION; BIODIVERSITY; STRATEGIES
AB Vegetation-covered urban brownfields provide a number of ecosystem services to help tackle current urban challenges, such as preventing a loss of biodiversity, adapting to climate change, and fostering recreational and healthy urban environments. However, the potential benefits for urban areas can only be realized if such brownfields are accepted as vital elements of the urban green infrastructure. The paper addresses the potentials of different types of green urban brownfields to provide particular ecosystem services with an outstanding relevance for the urban environment and the life of local residents, and looks at how these services can be best exploited in urban areas. Based on literature reviews, climate modeling, and a survey, research findings are presented on habitat services, microclimatic regulation services, and recreational services for various types of green urban brownfields. Differences in the quantity and quality of these services can be stated according to the specific and varying vegetation inventory and structural parameters of green urban brownfields. Scenario modeling of the preservation and development or transformation of brownfields into green spaces are used to illustrate the potentials and trade-offs of land-use changes in urban environments. Additionally, the provision of ecosystem services is influenced by the different options of green spaces for reusing brownfields. The paper closes with a discussion of some approaches to implementing these findings in urban realities. (C) 2015 American Society of Civil Engineers.
C1 [Mathey, Juliane; Banse, Juliane; Lehmann, Iris; Braeuer, Anne] Leibniz Inst Ecol Urban & Reg Dev IOER, D-01217 Dresden, Germany.
   [Roessler, Stefanie] Leibniz Inst Ecol Urban & Reg Dev, D-01217 Dresden, Germany.
C3 Leibniz Institut fur okologische Raumentwicklung; Leibniz Institut fur
   okologische Raumentwicklung
RP Mathey, J (corresponding author), Leibniz Inst Ecol Urban & Reg Dev IOER, Weberpl 1, D-01217 Dresden, Germany.
EM j.mathey@ioer.de; s.roessler@ioer.de; j.banse@ioer.de;
   i.lehmann@ioer.de; a.braeuer@ioer.de
CR [Anonymous], WIEDERKEHR LANDSCHAF
   [Anonymous], 2013, Urbanization, biodiversity and ecosystem services: challenges and opportunities
   [Anonymous], STADTLANDSCHAFT VIEL
   [Anonymous], SUST BROWNF REG
   [Anonymous], 2003, Ecosystems and human well-being: A framework for assessment (Millenium Ecosystem Assessment), DOI DOI 10.1023/A:1009652531101
   Arlt G., 2003, IOR SCHRIFTEN 39
   Arndt T., 2013, STADTLANDSCHAFT VIEL, V5, P23
   Atkinson G, 2014, URBAN FOR URBAN GREE, V13, P586, DOI 10.1016/j.ufug.2013.04.002
   Baing AS, 2010, INT PLAN STUD, V15, P25, DOI 10.1080/13563471003736910
   Barthel Stephan., 2013, Urban Studies, DOI DOI 10.1177/0042098012472744
   Bastian O., 1994, Analyse und okologische Bewertung der Landschaft, DOI DOI 10.1126/science.1172460
   Bastian O., 1992, GESTUFTE BIOTOPBEWER
   Bastian O, 2012, ECOL INDIC, V21, P7, DOI 10.1016/j.ecolind.2011.03.014
   Baycan-Levent T, 2009, J URBAN PLAN DEV, V135, P1, DOI 10.1061/(ASCE)0733-9488(2009)135:1(1)
   BBSR-Bundesamt fur Bau- Stadt- und Raumforschung im Bundesamt fur Bauwesen und Raumordnung (BBR), 2013, INN SPOT DEUTSCHLAND
   Bendt P, 2013, LANDSCAPE URBAN PLAN, V109, P18, DOI 10.1016/j.landurbplan.2012.10.003
   Berghofer Augustin., 2011, The Economics of Ecosystems and Biodiversity
   Blokhuis EGJ, 2012, J URBAN PLAN DEV, V138, P195, DOI 10.1061/(ASCE)UP.1943-5444.0000122
   BMVBS (Bundesministerium fur Verkehr Bau und Stadtentwicklung) and BBSR (Bundesinstitut fur Bau- Stadt- und Raumforschung), 2009, RENATURIERUNG STRATE
   Bonthoux S, 2014, LANDSCAPE URBAN PLAN, V132, P79, DOI 10.1016/j.landurbplan.2014.08.010
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bruse M, 1998, ENVIRON MODELL SOFTW, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   Buglife, 2009, PLANN BROWNF BIOD BE
   Burkhardt I., 2008, NATURSCHUTZ BIOL VIE
   Colding J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P228
   Cowling RM, 2008, P NATL ACAD SCI USA, V105, P9483, DOI 10.1073/pnas.0706559105
   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
   De Sousa CA, 2006, LOCAL ENVIRON, V11, P577, DOI 10.1080/13549830600853510
   Dettmar J, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P263, DOI 10.1007/3-540-26859-6_16
   Dettmar J., 1995, SCHRIFTENREIHE VEGET, V27, P111
   DG Environment, 2012, MULT GREEN INFR
   DG Environment (Directorate-General Environment of the European Commission), 2012, SOIL SEAL IN DEPTH R
   EEA (European Environment Agency), 2010, LAND US
   Ergen B, 2014, J URBAN PLAN DEV, V140, DOI 10.1061/(ASCE)UP.1943-5444.0000163
   Fischer LK, 2013, BIOL CONSERV, V159, P119, DOI 10.1016/j.biocon.2012.11.028
   Fritsche M., 2007, Shrinking Cities: Effects on Urban Ecology and Challenges for Urban Development, P17
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Goldberg V, 2001, ANN GEOPHYS, V19, P581, DOI 10.5194/angeo-19-581-2001
   Gómez F, 2004, J URBAN PLAN DEV, V130, P94, DOI 10.1061/(ASCE)0733-9488(2004)130:2(94)
   Gómez F, 2011, J URBAN PLAN DEV, V137, P311, DOI 10.1061/(ASCE)UP.1943-5444.0000060
   Gomez-Baggethun Erik, 2013, P175
   Hansen R., 2012, BFN SKRIPTEN
   Harrison C, 2002, J ENVIRON MANAGE, V65, P95, DOI 10.1006/jema.2002.0539
   Heiland S., 2009, MACHBARKEITSSTUDIE V
   Henne SK, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P247, DOI 10.1007/3-540-26859-6_15
   Herbst H, 2006, LANDSCAPE URBAN PLAN, V77, P178, DOI 10.1016/j.landurbplan.2005.02.005
   Hien WN, 2010, J URBAN PLAN DEV, V136, P261, DOI 10.1061/(ASCE)UP.1943-5444.0000014
   Hofmann M, 2012, URBAN FOR URBAN GREE, V11, P303, DOI 10.1016/j.ufug.2012.04.001
   Hohn U., 2007, PERSPEKTIVEN BEDEUTU, V2, P53
   Kattwinkel M, 2011, BIOL CONSERV, V144, P2335, DOI 10.1016/j.biocon.2011.06.012
   Keil A, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P117, DOI 10.1007/3-540-26859-6_7
   Konopka T., 1995, STADT GRUN, V11, P763
   Kottmeier C, 2007, J URBAN PLAN DEV, V133, P128, DOI 10.1061/(ASCE)0733-9488(2007)133:2(128)
   Kowarik I, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P1, DOI 10.1007/3-540-26859-6_1
   Kowarik I, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P287, DOI 10.1007/3-540-26859-6_18
   Kowarik Ingo., 2013, International Journal of Wilderness, V19, P32
   Landeshauptstadt Dresden, 1999, STADTB STADT DRESD
   Lange DA, 2004, J URBAN PLAN D-ASCE, V130, P109, DOI 10.1061/(ASCE)0733-9488(2004)130:2(109)
   Lehmann I, 2014, ECOL INDIC, V42, P58, DOI 10.1016/j.ecolind.2014.02.036
   Liebmann H, 2012, EUR PLAN STUD, V20, P1155, DOI 10.1080/09654313.2012.674348
   Mathey J., 2011, NATURSCHUTZ BIOL VIE
   Mathey J., 2003, STADTNATUR BEDEUTUNG, P47
   Mathey J., 2010, Urban biodiversity and design, P406
   Mathey J., 2012, Encyclopedia of Sustainability Science and Technology, P11361, DOI [10.1007/978-1-4419-0851-3211, DOI 10.1007/978-1-4419-0851-3211]
   Muller C., 2007, DTSCH Z KOMMUNALWISS, V1, P55
   Muratet A, 2007, ECOSYSTEMS, V10, P661, DOI 10.1007/s10021-007-9047-6
   Nagengast A, 2011, J URBAN PLAN D-ASCE, V137, P298, DOI 10.1061/(ASCE)UP.1943-5444.0000072
   Nassauer JI, 2014, LANDSCAPE URBAN PLAN, V125, P245, DOI 10.1016/j.landurbplan.2013.10.008
   Naumann Sandra., 2011, Final Report to the European Commission, DG Environment
   Niemelä J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8
   NUA (Natur- und Umweltschutzakademie NRW), 1998, NUA SEMINARBERICHT, V2, P35
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P19
   Pediaditi K, 2010, LANDSCAPE URBAN PLAN, V97, P22, DOI 10.1016/j.landurbplan.2010.04.007
   Rebele F., 1996, INDUSTRIEBRACHEN OKO
   Rieniets T, 2009, NAT CULT, V4, P231, DOI 10.3167/nc.2009.040302
   Rink D, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P67, DOI 10.1007/3-540-26859-6_4
   Rosol M, 2010, INT J URBAN REGIONAL, V34, P548, DOI 10.1111/j.1468-2427.2010.00968.x
   Rossler S., 2010, IOR SCHRIFTEN
   Rossler S., 2014, GRUNDLAGEN KLIMAWAND, V6, P57
   Schadek Ute, 2009, Urban Ecosystems, V12, P115, DOI 10.1007/s11252-008-0072-9
   Schaefer M., 1992, OKOLOGIE
   Schemel H.J., 2005, NATURSCHUTZ LANDSCHA, V37, P5
   Schilling J, 2008, J AM PLANN ASSOC, V74, P451, DOI 10.1080/01944360802354956
   Schulte W., 1993, NATUR LANDSCHAFT, V68, P491
   Spang W. D., 1995, BIOL DATEN PLANUNG A, V43, P215
   Tian YH, 2012, J URBAN PLAN DEV, V138, P101, DOI 10.1061/(ASCE)UP.1943-5444.0000076
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Unt AL, 2014, URBAN FOR URBAN GREE, V13, P121, DOI 10.1016/j.ufug.2013.10.008
   Volksen G., 2005, LEINEPARK GOTTINGEN, V1, P30
   von Haaren Christina, 2011, International Journal of Biodiversity Science Ecosystem Services & Management, V7, P150, DOI 10.1080/21513732.2011.616534
   Weiss J, 2005, WILD URBAN WOODLANDS: NEW PERSPECTIVES FOR URBAN FORESTRY, P143, DOI 10.1007/3-540-26859-6_9
   Wende W, 2012, LANDSCAPE RES, V37, P483, DOI 10.1080/01426397.2011.592575
   Wilkinson Cathy, 2013, P539
   Wittig R., 1993, GEOBOTANISCHE K, V9, P79
   Wittig R., 2010, Urban biodiversity and design: S, P37
   Yu DY, 2011, J URBAN PLAN DEV, V137, P448, DOI 10.1061/(ASCE)UP.1943-5444.0000074
NR 97
TC 93
Z9 101
U1 13
U2 285
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9488
EI 1943-5444
J9 J URBAN PLAN DEV
JI J. Urban Plan. Dev
PD SEP
PY 2015
VL 141
IS 3
AR A4015001
DI 10.1061/(ASCE)UP.1943-5444.0000275
PG 13
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Public Administration; Urban Studies
GA CP5TG
UT WOS:000359946800025
DA 2025-01-10
ER

PT J
AU Nygaard, I
   Hansen, UE
AF Nygaard, Ivan
   Hansen, Ulrich Elmer
TI The conceptual and practical challenges to technology categorisation in
   the preparation of technology needs assessments
SO CLIMATIC CHANGE
LA English
DT Article
ID DEVELOPING-COUNTRIES; CLIMATE-CHANGE; BARRIERS; ENERGY; INNOVATION;
   FRAMEWORK; SYSTEMS; POLICY; CHINA
AB The strong focus in climate negotiations on the transfer and diffusion of technologies as a means to mitigate and adapt to climate change has entailed various programs to promote the transfer and diffusion of climate technologies, including the Technology Needs Assessment project (TNA). Despite the technology focus in the project, practice shows that the questions of what a technology is and how the key concepts of technology transfer and diffusion should be understood and operationalized remain diffuse. This paper explores the reasons for this by analysing the experience of the TNA project in using a framework for categorizing technologies according to the types of markets and non-markets in which they are diffused. While the framework has contributed to a higher degree of 'market literacy' among national stakeholders, four challenges in categorizing technologies have been identified: i) technologies comprising varying degrees of software, orgware and hardware; ii) technologies appearing as whole systems of production; iii) technologies covering different application markets; and iv) technologies situated on a continuum between research, development and diffusion. These challenges are proxies for the challenges in formulating plans of actions for technologies. If, due to a lack of conceptual clarity, it is not clear to countries whether the diffusion of a specific technology should be implemented by a project or by means of an enabling framework, the measures proposed in the action plans may be misleading. We therefore call for an increased focus on clarifying the technology concept in the training for the next generation of TNAs.
C1 [Nygaard, Ivan; Hansen, Ulrich Elmer] Tech Univ Denmark, Roskilde, Denmark.
C3 Technical University of Denmark
RP Nygaard, I (corresponding author), Tech Univ Denmark, Roskilde, Denmark.
EM ivny@dtu.dk
RI Nygaard, Ivan/Q-4058-2017
OI Nygaard, Ivan/0000-0002-7633-9241; Hansen, Ulrich
   Elmer/0000-0002-8997-6717
CR Albu M., 2005, MAPPING MARKET FRAME
   Ansari MF, 2013, RENEW SUST ENERG REV, V27, P163, DOI 10.1016/j.rser.2013.07.002
   Bell M., 2012, LOW CARBON TECHNOLOG, P20
   Boldt J., 2012, OVERCOMING BARRIERS
   Dhar S., 2010, ORG NATL TNA PROCESS
   ENTTRANS, 2007, PROMOTING SUSTAINABL
   Haum R, 2011, THESIS U SUSSEX
   Lundvall BÅ, 2002, RES POLICY, V31, P213, DOI 10.1016/S0048-7333(01)00137-8
   Lybbert TJ, 2012, FOOD POLICY, V37, P114, DOI 10.1016/j.foodpol.2011.11.001
   Martinot E, 2002, ANNU REV ENERG ENV, V27, P309, DOI 10.1146/annurev.energy.27.122001.083444
   Martinot E, 1997, ANNU REV ENERG ENV, V22, P357, DOI 10.1146/annurev.energy.22.1.357
   METCALFE JS, 1995, CAMBRIDGE J ECON, V19, P25
   Muller J, 2003, CULTURE TECHNOLOGICA, P27
   Nygaard I, 2009, EUR REV ENERGY MARKE, V3, P125
   Nygaard Ivan, 2012, SCREENING FEASIBLE A
   OECD, 2008, OECD INF TECHN OUTL
   Painuly JP, 2001, RENEW ENERG, V24, P73, DOI 10.1016/S0960-1481(00)00186-5
   RAMANATHAN K, 1994, TECHNOL FORECAST SOC, V46, P221, DOI 10.1016/0040-1625(94)90003-5
   Schneider M, 2008, ENERG POLICY, V36, P2930, DOI 10.1016/j.enpol.2008.04.009
   Sharif MN, 1994, TECHNOL FORECAST SOC, V45, P151
   Shove E, 1998, ENERG POLICY, V26, P1105, DOI 10.1016/S0301-4215(98)00065-2
   Sun XW, 2012, ENRGY PROCED, V17, P1401, DOI 10.1016/j.egypro.2012.02.259
   Traerup S, 2015, CLIMATE CHANGE ADAPT
   UNDP, 2010, HDB COND TECHN NEEDS
   UNFCCC, 2013, 3 SYNTH REP TECHN NE
   UNFCCC, 2014, 9 M TECHN EX COMM LA
   Valencia A, 2008, GDI BRIEFING PAPERS
NR 27
TC 11
Z9 15
U1 0
U2 11
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD AUG
PY 2015
VL 131
IS 3
BP 371
EP 385
DI 10.1007/s10584-015-1367-5
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CN1KO
UT WOS:000358179100002
DA 2025-01-10
ER

PT J
AU Lebel, L
   Xu, JC
   Bastakoti, RC
   Lamba, A
AF Lebel, Louis
   Xu, Jianchu
   Bastakoti, Ram C.
   Lamba, Amrita
TI Pursuits of adaptiveness in the shared rivers of Monsoon Asia
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article
DE Climate change; Water governance; Monsoon Asia; Transboundary rivers
ID EARTH SYSTEM GOVERNANCE; TONLE-SAP LAKE; CLIMATE-CHANGE;
   WATER-RESOURCES; HYDROLOGICAL CHANGES; INTERNATIONAL RIVER; MANAGEMENT;
   IMPACT; BASIN; ADAPTATION
AB How water should be managed in Monsoon Asia is emerging as one of the core earth system governance challenges. In this article, we explore the politics around pursuits of adaptiveness in water management, emphasizing the major transboundary river basins draining the south and eastern Himalayas. We look at two main functions: storing, diverting and sharing water for periods of scarcity; protecting people and places from destructive floods. We find that the pursuit of adaptiveness will take place partly outside the range of human experience in a context of large differences in exposure and vulnerabilities, disparate interests and unequal power. Anticipatory policies and actions to adapt and improve adaptive capacity to the transboundary impacts of changes in water-use, land-use and climate on water resources and services are still in their infancy; but several problem-framing discourses are emerging that have longer-term implications for water governance. It is not yet clear how these competing policy-frames will evolve in Asia. Much will depend on how systems of water governance develop. Public scrutiny of how governments in Asia plan to adapt to climate change in the water sector-on how risks of not enough and too much water are dealt with-will need to continue to help sort out those projects and strategies which are driven primarily by political benefits from those which actually contribute to building adaptive capacities and maintaining social-ecological resilience.
C1 [Lebel, Louis; Bastakoti, Ram C.] Chiang Mai Univ, Unit Social & Environm Res, Chiang Mai 50200, Thailand.
   [Xu, Jianchu] Kunming Inst Bot, Kunming, Yunnan, Peoples R China.
   [Xu, Jianchu] World Agroforestry Ctr, Beijing, Peoples R China.
   [Bastakoti, Ram C.] Asian Inst Technol, Bangkok 10501, Pathumthani, Thailand.
   [Lamba, Amrita] Jawaharlal Nehru Univ, Ctr Study Law & Governance, New Delhi 110067, India.
C3 Chiang Mai University; Chinese Academy of Sciences; Kunming Institute of
   Botany, CAS; Asian Institute of Technology; Jawaharlal Nehru University,
   New Delhi
RP Lebel, L (corresponding author), Chiang Mai Univ, Unit Social & Environm Res, Chiang Mai 50200, Thailand.
EM louis@sea-user.org
RI Xu, Jianchu/Y-2890-2019; Lebel, Louis/D-4130-2014
OI Lebel, Louis/0000-0001-6187-6418; Bastakoti, Ram C/0000-0003-2456-5420
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawala S., 2003, DEV CLIMATE CHANGE N
   Ahmad QK, 2003, NAT HAZARDS, V28, P181
   Ajaya Dixit Ajaya Dixit, 2009, Economic and Political Weekly, V44, P70
   Alagh Y.K., 2006, Interlinking of rivers in India: Overview and Ken-Betwa link
   Alam U, 2007, WA SCI TECHNOL, V7, P211, DOI 10.2166/ws.2007.024
   Ali SaleemH., 2008, J INT AFF, V61, P167
   AMARASINGHE U, 2008, STRATEGIC ANALYSES 1
   [Anonymous], TROUBLED WATERS CLIM
   [Anonymous], DELUGE COPING FLOODS
   [Anonymous], NAT AD PROGR ACT CLI
   [Anonymous], THAIL IN NAT COMM UN
   [Anonymous], 2009, Local Responses to Too Much and Too Little Water in the Greater Himalayan Region
   [Anonymous], 2009, WAT STOR STRAT CLIM
   Bagla P, 2009, SCIENCE, V326, P924, DOI 10.1126/science.326.5955.924
   Bakker MHN, 2009, WATER POLICY, V11, P269, DOI 10.2166/wp.2009.041
   Baran E, 2009, AQUAT ECOSYST HEALTH, V12, P227, DOI 10.1080/14634980903149902
   Baran E., 2007, Influence of built structures on Tonle Sap fisheries
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bhaduri A, 2008, ENVIRON DEV ECON, V13, P29, DOI 10.1017/S1355770X07004056
   BIAGANI B, 2007, LEG STOCKT M NAT AD
   Biermann F, 2007, GLOBAL ENVIRON CHANG, V17, P326, DOI 10.1016/j.gloenvcha.2006.11.010
   Biermann F, 2010, INT ENVIRON AGREEM-P, V10, P277, DOI 10.1007/s10784-010-9137-3
   Biermann F, 2010, GLOBAL ENVIRON POLIT, V10, P60, DOI 10.1162/glep.2010.10.1.60
   *BIPSS SFG, 2010, 2 INT WORKSH HIM SUB
   Biswas AK, 2008, INT J WATER RESOUR D, V24, P145, DOI 10.1080/07900620701760556
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Blaikie PM, 2004, ANN ASSOC AM GEOGR, V94, P520, DOI 10.1111/j.1467-8306.2004.00412.x
   Böhner J, 2006, BOREAS, V35, P279, DOI 10.1080/03009480500456073
   Browder G., 2000, INT NEGOT, V5, P237, DOI DOI 10.1163/15718060020848758
   Chatterjee A, 2010, MT RES DEV, V30, P42, DOI 10.1659/MRD-JOURNAL-D-09-00091.1
   Chinvanno Suppakorn., 2008, CLIMATE CHANGE ADAPT, P228
   Costa-Cabral MC, 2008, HYDROL PROCESS, V22, P1731, DOI 10.1002/hyp.6740
   Crow B, 2009, INDIA REV, V8, P306, DOI 10.1080/14736480903116826
   Crutzen P.J., 2000, IGBP Newsletter, V41, P17
   Dixit A, 2003, NAT HAZARDS, V28, P155, DOI 10.1023/A:1021134218121
   Dore J., 2009, Contested waterscapes in the Mekong Region: hydropower, livelihoods and governance, P357
   Dore J, 2010, ENVIRON MANAGE, V46, P60, DOI 10.1007/s00267-010-9527-x
   Draper SE, 2007, J WATER RES PL-ASCE, V133, P405, DOI 10.1061/(ASCE)0733-9496(2007)133:5(405)
   Dudgeon D, 2000, BIOSCIENCE, V50, P793, DOI 10.1641/0006-3568(2000)050[0793:LSHCIT]2.0.CO;2
   Eastham J., 2008, Mekong River Basin Water Resources Assessment: Impacts of Climate Change
   Faisal IslamM., 2002, SAIS REV, V22, P309
   FORSYTH T, 2008, FOREST GUARDIAN FORE
   Friend R., 2007, Securing sustainable livelihoods through wise use of wetland resources. Reflections on the experience of the Mekong Wetlands Biodiversity Conservation and Sustainable Use Programme (MWBP)
   Gopal B, 2006, AQUAT SCI, V68, P338, DOI 10.1007/s00027-006-0868-8
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Gupta J, 2020, INT ENVIRON AGREEM-P, V20, P393, DOI 10.1007/s10784-020-09486-4
   Gyawali D, 1999, ECON POLIT WEEKLY, V34, P553
   Gyawali D, 2001, FUTURES, V33, P689, DOI 10.1016/S0016-3287(01)00014-3
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hoa LTV, 2007, ESTUAR COAST SHELF S, V71, P110, DOI 10.1016/j.ecss.2006.08.021
   Huntjens P, 2010, REG ENVIRON CHANGE, V10, P263, DOI 10.1007/s10113-009-0108-6
   IUCN TEI IWMI:and M-POWER, 2007, EXPL WAT FUT TOG MEK
   Iyer RamaswamyR., 2003, WATER PERSPECTIVES I
   Iyer RamaswamyR., 2007, Towards Water Wisdom: Limits, Justice and Harmony
   Jacobs JW, 2002, GEOGR J, V168, P354, DOI 10.1111/j.0016-7398.2002.00061.x
   Keskinen M, 2010, J WATER CLIM CHANGE, V1, P103, DOI 10.2166/wcc.2010.009
   Kummu M, 2006, INT J WATER RESOUR D, V22, P497, DOI 10.1080/07900620500482915
   *LAO PEOPL DEM REP, 2009, NAT AD PROGR ACT CLI
   Lebel L., 2007, Democratizing water governance in the Mekong Region, P37
   Lebel L, 2005, ECOL SOC, V10
   LEBEL L, 2007, GLOBAL ASIA, V2, P15
   Lebel L., 2009, Contested waterscapes in the Mekong Region: hydropower, livelihoods and governance, P283
   Lebel L., 2009, Asian Journal of Environment and Disaster Management, V1, P23, DOI [DOI 10.3850/S179392402009000040, 10.3850/S179392402009000040]
   Lebel L, 2010, INT ENVIRON AGREEM-P, V10, P333, DOI 10.1007/s10784-010-9142-6
   Lebel L, 2009, CURR OPIN ENV SUST, V1, P61, DOI 10.1016/j.cosust.2009.07.008
   Ma X, 2009, HYDROL PROCESS, V23, P1179, DOI 10.1002/hyp.7233
   MAGEE D, 2006, CHINA QUART, V185, P23, DOI DOI 10.1017/S0305741006000038
   Miller K.A., 2008, Journal of International Affairs, V61, P35
   Mirza M.Monirul Qader., 2008, INTERLINKING RIVERS
   Moench M, 2010, TECHNOL FORECAST SOC, V77, P975, DOI 10.1016/j.techfore.2009.11.006
   Molle F., 2008, Water Alternatives, V1, P131
   Molle F., 2009, CONTESTED WATERSCAPE
   Molle F, 2008, AMBIO, V37, P199, DOI 10.1579/0044-7447(2008)37[199:MASAEC]2.0.CO;2
   Molle F, 2008, INT J WATER RESOUR D, V24, P217, DOI 10.1080/07900620701723646
   Molle F, 2007, GEOGR J, V173, P358, DOI 10.1111/j.1475-4959.2007.00255.x
   Mondal MS, 2007, J WATER RES PL-ASCE, V133, P179, DOI 10.1061/(ASCE)0733-9496(2007)133:2(179)
   *MRC, 2009, CLIM CHANG AD IN FRA
   *MWBP, 2005, VULN ASS CLIM RISKS
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Podesta J, 2007, WASH QUART, V31, P115, DOI 10.1162/wash.2007.31.1.115
   Postel S., 2008, Journal of International Affairs, V6, P75
   Rahaman MM, 2009, INT J WATER RESOUR D, V25, P159, DOI 10.1080/07900620802517574
   REES G, 2006, HYDROLOGICAL PROCESS, V20
   Resurreccion BP., 2008, Climate adaptation in Asia: Knowledge gaps and research issues in South East Asia
   Rockström J, 2010, AGR WATER MANAGE, V97, P543, DOI 10.1016/j.agwat.2009.09.009
   Sadoff CW, 2005, WATER INT, V30, P420, DOI 10.1080/02508060508691886
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   SHARMA B, 2008, IMPACT CLIMATE CHANG
   Sharma RH, 2006, J HYDROL, V327, P315, DOI 10.1016/j.jhydrol.2005.11.051
   Sidle RC, 2006, FOREST ECOL MANAG, V224, P199, DOI 10.1016/j.foreco.2005.12.019
   SINGH B, 2003, HINDUSTAN TIMES 0309
   Sinh BT, 2009, NAT DISASTER RES PR, P445
   Sneddon C, 2007, WORLD DEV, V35, P2161, DOI 10.1016/j.worlddev.2007.02.002
   Sokhem P, 2006, INT J WATER RESOUR D, V22, P399, DOI 10.1080/07900620500482642
   Subedi SP, 1999, AM J INT LAW, V93, P953, DOI 10.2307/2555362
   Tanzeema S., 2001, WATER POLICY, V3, P13, DOI [DOI 10.1016/S1366-7017, 10.1016/S1366-7017(01)00004-6]
   THAPUN A, 2009, NATION          0616
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   TKK SEA START RC, 2009, WAT CLIM CHANG LOW M
   Västilä K, 2010, J WATER CLIM CHANGE, V1, P67, DOI 10.2166/wcc.2010.008
   WIRSING R, 2008, BROWN J WORLD AFFAIR, V15, P225
   Xu J., 2005, KNOW RISK, P196
   Xu J., 2007, TROP ECOL, V48, P1
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Xu Xiangde Lu., 2008, GEOPHYS RES LETT, V35, pL20815, DOI [DOI 10.1029/2008GL035867, 10.1029/2008GL035867]
   Zawahri NA, 2009, INT NEGOT, V14, P281, DOI 10.1163/157180609X432833
   Zeitoun M, 2008, INT ENVIRON AGREEM-P, V8, P297, DOI 10.1007/s10784-008-9083-5
   Ziegler AD, 2009, SCIENCE, V324, P1024, DOI 10.1126/science.1173833
   ,, 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
   2010, EC TIMES        0422
   2009, HINDU           1011
NR 114
TC 23
Z9 23
U1 3
U2 56
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1567-9764
EI 1573-1553
J9 INT ENVIRON AGREEM-P
JI Int. Environ. Agreem.-Polit. Law Econom.
PD DEC
PY 2010
VL 10
IS 4
SI SI
BP 355
EP 375
DI 10.1007/s10784-010-9141-7
PG 21
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA 735WA
UT WOS:000288450100006
DA 2025-01-10
ER

PT J
AU Sun, YL
   Zhang, CH
   Lian, YJ
   Zhao, JM
AF Sun, Yu-Ling
   Zhang, Chun-Hua
   Lian, Ying-Jie
   Zhao, Jia-Min
TI Exploring the Global Research Trends of Cities and Climate Change Based
   on a Bibliometric Analysis
SO SUSTAINABILITY
LA English
DT Article
DE urban climate change; city; climate adaptation; climate mitigation;
   water; energy; bibliometric analysis; text mining
ID CHANGE ADAPTATION; COLLABORATIVE GOVERNANCE; CHANGE MITIGATION; URBAN
   MORPHOLOGY; RENEWABLE ENERGY; AIR-TEMPERATURE; GREENHOUSE-GAS; HEAT
   WAVES; CITY; URBANIZATION
AB Climate change is one of the great global challenges. Cities are both drivers and responders of climate change. In recent years, the literature associated with climate change and cities has grown rapidly, but few studies have used a bibliometric analysis and visualization approach to conduct deep mining and explore the current situation and development trends of this field. By using bibliometric and text mining methods, the authors conducted a knowledge map analysis of the research on cities and climate change. Moreover, this article attempts to identify the research hotspots and research gaps in this field. The following findings are distilled. First, research in this field is rapidly emerging, and the current research distribution is extremely uneven. China and the US contributed 36% of total paper output. Second, previous research focused on six topics: Impact of Climate Change and Urbanization, Urban Climate Change Adaptation, Urban Heat Island Effect, Urban Greenhouse Emission, Urban Climate Change and Water, and Urban Energy Systems. The first two topics are currently the most popular directions of research. Third, empirical research shows positive interest in big cities, while climate change research in small and medium-sized cities has been neglected. The results of this work will not only help researchers clarify the current situation in cities and climate change science but also provide guidance for future research.
C1 [Sun, Yu-Ling; Zhang, Chun-Hua; Lian, Ying-Jie; Zhao, Jia-Min] Chinese Acad Sci, Natl Sci Lib, Beijing 100190, Peoples R China.
   [Sun, Yu-Ling; Zhang, Chun-Hua; Lian, Ying-Jie] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; National Science Library, CAS; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS
RP Sun, YL (corresponding author), Chinese Acad Sci, Natl Sci Lib, Beijing 100190, Peoples R China.; Sun, YL (corresponding author), Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100049, Peoples R China.
EM sunyl@mail.las.ac.cn
RI Zhang, Chunhua/ISB-1530-2023
OI sun, yu ling/0000-0001-6836-5530
FU Chinese Academy of Sciences Strategic Research Project
   [GHJ-ZLZX-2022-13]; Chinese Academy of Sciences Literature and
   Information Capacity Building Project [E1290428]
FX This research was funded by Chinese Academy of Sciences Strategic
   Research Project (GHJ-ZLZX-2022-13); Chinese Academy of Sciences
   Literature and Information Capacity Building Project (E1290428).
CR Akbari H, 2016, J CIV ENG MANAG, V22, P1, DOI 10.3846/13923730.2015.1111934
   Akcaba S, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09813
   Arsiso BK, 2018, PHYS CHEM EARTH, V105, P212, DOI 10.1016/j.pce.2018.02.009
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Bichai F, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1276
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   c40.org, GLOBAL NETWORK MAYOR
   Castells-Quintana D, 2021, J ECON GEOGR, V21, P531, DOI 10.1093/jeg/lbaa030
   Chen FH, 2020, CLIM RES, V81, P91, DOI 10.3354/cr01611
   Churkina G, 2020, NAT SUSTAIN, V3, P269, DOI 10.1038/s41893-019-0462-4
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Creutzig F, 2015, P NATL ACAD SCI USA, V112, P6283, DOI 10.1073/pnas.1315545112
   Dayeen FR, 2020, J IND ECOL, V24, P276, DOI 10.1111/jiec.12998
   De Luca G, 2018, ENERGY, V143, P347, DOI 10.1016/j.energy.2017.07.004
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Eliakimu ES, 2022, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.755285
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Falcone PM, 2021, ENERGY RES SOC SCI, V80, DOI 10.1016/j.erss.2021.102238
   Fiack D, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103235
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Fu KS, 2015, SUSTAINABILITY-BASEL, V7, P15284, DOI 10.3390/su71115284
   Gál T, 2021, COMPUT ENVIRON URBAN, V87, DOI 10.1016/j.compenvurbsys.2021.101600
   Ghaemi Z, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119634
   Gordon DJ, 2017, ENVIRON POLIT, V26, P694, DOI 10.1080/09644016.2017.1320829
   Goyal MK, 2022, TECHNOL FORECAST SOC, V180, DOI 10.1016/j.techfore.2022.121685
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Greater London Authority (GLA), MAN RISK INCR RES MA
   He CY, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25026-3
   Hooyberghs H, 2017, CLIMATIC CHANGE, V144, P721, DOI 10.1007/s10584-017-2058-1
   Hou J, 2020, URBAN STUD, V57, P1398, DOI 10.1177/0042098018778671
   Hou YL, 2021, ENVIRON SCI POLLUT R, V28, P34187, DOI 10.1007/s11356-021-14059-2
   Hrabovszky-Horváth S, 2013, ENERG BUILDINGS, V62, P475, DOI 10.1016/j.enbuild.2013.03.011
   Hsu A, 2020, NAT CLIM CHANGE, V10, DOI 10.1038/s41558-020-0879-9
   Huang K., 2021, J GEOPHYS RES-ATMOS, V126, P1
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Hughes S, 2020, NAT CLIM CHANGE, V10, P1085, DOI 10.1038/s41558-020-00953-z
   ICLEI, Local Governments for Sustainability
   Intergovernmental Panel on Climate Change, 2014, CLIM CHANG 2014 MIT, DOI 10.1017/CBO9781107415416
   ipcc.ch, 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability
   Jamei E, 2015, SUSTAIN CITIES SOC, V14, P280, DOI 10.1016/j.scs.2014.10.001
   Kalesnikaite V, 2019, PUBLIC PERFORM MANAG, V42, P864, DOI 10.1080/15309576.2018.1526091
   Kammen DM, 2016, SCIENCE, V352, P922, DOI 10.1126/science.aad9302
   Kennedy C, 2009, ENVIRON SCI TECHNOL, V43, P7297, DOI 10.1021/es900213p
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Kim Y, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041048
   Kirby A, 2018, B ASOC GEOGR ESP, DOI 10.21138/bage.2735
   Liang ZF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042082
   Liu JH, 2020, APPL ENERG, V278, DOI 10.1016/j.apenergy.2020.115686
   Liu Y, 2019, HYDROLOG SCI J, V64, P2105, DOI 10.1080/02626667.2019.1618463
   [罗鑫玥 Luo Xinyue], 2019, [地球科学进展, Advance in Earth Sciences], V34, P984
   Maretti M, 2019, INT REV SOCIOL, V29, P142, DOI 10.1080/03906701.2019.1641270
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meng QY, 2022, ENVIRON POLLUT, V292, DOI 10.1016/j.envpol.2021.118383
   Meng QY, 2018, REMOTE SENS ENVIRON, V204, P826, DOI 10.1016/j.rse.2017.09.019
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Nair S, 2014, RESOUR CONSERV RECY, V89, P1, DOI 10.1016/j.resconrec.2014.05.007
   National Development and Reform Commission Ministry of Housing and Urban-Rural Development, ISS CLIM NOT PIL WOR
   nyc.gov, PLANYC 2030 GREEN GR
   Páez-Curtidor N, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910550
   Patterson JJ, 2019, J ENVIRON PLANN MAN, V62, P374, DOI 10.1080/09640568.2018.1510767
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Pineda-Pinto M, 2022, AMBIO, V51, P167, DOI 10.1007/s13280-021-01553-7
   Privitera R, 2018, EUR PLAN STUD, V26, P812, DOI 10.1080/09654313.2018.1426735
   Rathi SK, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010283
   Reckien D, 2014, GLOBAL ENVIRON CHANG, V26, P1, DOI 10.1016/j.gloenvcha.2014.03.005
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Barton JR, 2015, CLIM DEV, V7, P175, DOI 10.1080/17565529.2014.934773
   Rosenzweig C, 2011, CLIMATIC CHANGE, V106, P93, DOI 10.1007/s10584-010-0002-8
   Rukundo E, 2016, POL J ENVIRON STUD, V25, P2541, DOI 10.15244/pjoes/63781
   Salman AM, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000294
   Schneider P, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105722
   Shao QQ, 2011, J GEOGR SCI, V21, P994, DOI 10.1007/s11442-011-0895-9
   Shen PY, 2020, ENERGY, V193, P608, DOI 10.1016/j.energy.2019.116694
   Sugar L, 2013, INT J CLIM CHANG STR, V5, P95, DOI 10.1108/17568691311299381
   Sullivan A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050761
   Sun RH, 2017, ECOSYST SERV, V23, P38, DOI 10.1016/j.ecoser.2016.11.011
   Nguyen TT, 2019, SCI TOTAL ENVIRON, V652, P147, DOI 10.1016/j.scitotenv.2018.10.168
   Toronto Environment Office, CIT TOR AH STORM PRE
   Trimmel H, 2021, METEOROL Z, V30, DOI 10.1127/metz/2019/0966
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   un.org, 2018, WORLD URBANIZATION P
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wang TQ, 2018, ENVIRON SCI POLLUT R, V25, P19845, DOI 10.1007/s11356-018-2088-x
   Wang YN, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127291
   Wang ZH, 2018, J CLEAN PROD, V199, P1072, DOI 10.1016/j.jclepro.2018.06.183
   Welfle A, 2022, RENEW ENERG, V191, P493, DOI 10.1016/j.renene.2022.03.150
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Xu K, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109341
   Yan ZM, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150119
   Yang Q, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11120628
   Yang YJ, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL084288
   Yigzaw W, 2016, EARTHS FUTURE, V4, P603, DOI 10.1002/2016EF000393
   Yu M, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123731
   Zhang L, 2022, SCI TOTAL ENVIRON, V839, DOI 10.1016/j.scitotenv.2022.156274
   Zhang TT, 2020, IEEE ACCESS, V8, P64820, DOI 10.1109/ACCESS.2020.2984352
   Ziska LH, 2003, J ALLERGY CLIN IMMUN, V111, P290, DOI 10.1067/mai.2003.53
   Zyoud SH, 2017, SUBST ABUSE TREAT PR, V12, DOI 10.1186/s13011-017-0090-9
NR 103
TC 3
Z9 3
U1 15
U2 75
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2022
VL 14
IS 19
AR 12302
DI 10.3390/su141912302
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 5G9QQ
UT WOS:000867324900001
OA gold
DA 2025-01-10
ER

PT J
AU Fazey, I
   Wise, RM
   Lyon, C
   Câmpeanu, C
   Moug, P
   Davies, TE
AF Fazey, Ioan
   Wise, Russell M.
   Lyon, Christopher
   Campeanu, Claudia
   Moug, Peter
   Davies, Tammy E.
TI Past and future adaptation pathways
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation pathways; adaptation; trajectories of change; time; climate
   change; futures; hindsight; foresight
ID CLIMATE-CHANGE; SUSTAINABLE ADAPTATION; ADAPTIVE CAPACITY;
   VULNERABILITY; RESILIENCE; TRANSITION; UNCERTAINTY; TRANSFORMATION;
   ENVIRONMENT; INEQUALITY
AB Adaptation pathways are increasingly being used as a foresight tool to help guide the implementation of climate change adaptation and deliberate transformation. This paper applies a pathways lens as a hindsight tool to provide new understanding about past change and adaptation relevant for improving future adaptation pathways approaches. Four case studies of past adaptations to change are examined: Solomon Islands Communities, Canadian forest-dependent communities, a Transylvanian village, and responses to climate adaptation policies in Australia. The results highlight that responses to change in these diverse case studies involve complex transitions that gradually create new conditions and trajectories; manifest as multiple but inter-related pathways of change and response at different social or spatial scales (e.g. different paths for different households or communities); have legacies and continuities across time that affect future pathways of change; are affected by power in complex ways; and can create further change and need for adaptation. Analyses also highlight that when working with prospective adaptation approaches as a response to climate change there is a need to consider: (1) underlying assumptions, values and principles associated with the future; (2) the existence of inter-connected multiple pathways and their implications for reinforcing existing social inequalities; and (3) how understanding past change provides inspiration for new and transformative futures. Overall, the paper concludes that shifts towards analyses for change rather than simply about change, such as adaptation pathways, will require more careful consideration of underlying ontological assumptions about the relationships between past, present and future.
C1 [Fazey, Ioan; Lyon, Christopher; Moug, Peter] Univ Dundee, Sch Environm, Perth Rd, Dundee DD1 4HN, Scotland.
   [Wise, Russell M.] CSIRO, Black Mt Labs, Clunies Ross St, Canberra, ACT 2601, Australia.
   [Campeanu, Claudia] Univ Bucharest, Sch Sociol & Social Work, 9 Schitu Magureanu St, Bucharest 010181, Romania.
   [Davies, Tammy E.] Univ St Andrews, Sch Geog & Geosci, St Andrews KY16 9AL, Fife, Scotland.
   [Davies, Tammy E.] Univ Victoria, Sch Environm Studies, POB 3060 STN CSC, Victoria, BC V8W 3R4, Canada.
C3 University of Dundee; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); University of Bucharest; University of St Andrews;
   University of Victoria
RP Fazey, I (corresponding author), Univ Dundee, Sch Environm, Perth Rd, Dundee DD1 4HN, Scotland.
EM i.fazey@dundee.ac.uk
RI Lyon, Christopher/T-9426-2019; Campeanu, Claudia/ABG-8943-2020; Fazey,
   Ioan/ABB-3403-2021; Wise, Russell/G-5463-2010
OI Davies, Tammy/0000-0003-2535-1328; Moug, Peter/0000-0002-5156-8865;
   Lyon, Christopher/0000-0003-2319-2933
FU Social Sciences and Humanities Research Council of Canada
FX The Canadian forest communities research by Christopher Lyon was
   supported by the Social Sciences and Humanities Research Council of
   Canada [Standard Research Grant, J.R. Parkins 2008].
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   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, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Allison HE, 2004, ECOL SOC, V9
   Anderies JM, 2006, ECOSYSTEMS, V9, P865, DOI 10.1007/s10021-006-0017-1
   [Anonymous], 2012, Rupert Murdoch: An Investigation of Political Power
   [Anonymous], 1995, Realist Social Theory: A Morphogenetic Approach
   [Anonymous], TRANSFORMRI SOCIALE
   [Anonymous], REFORMA AGRAR DIN 19
   [Anonymous], DCSCRN NEWSLETTER
   Archer MS, 2010, SOCIOL THEOR, V28, P272, DOI 10.1111/j.1467-9558.2010.01375.x
   Avelino F, 2009, EUR J SOC THEORY, V12, P543, DOI 10.1177/1368431009349830
   Ballu V, 2011, P NATL ACAD SCI USA, V108, P13019, DOI 10.1073/pnas.1102842108
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Baumgärtner S, 2008, ECOL ECON, V67, P384, DOI 10.1016/j.ecolecon.2008.07.018
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   BOWLES S, 1993, J ECON PERSPECT, V7, P83, DOI 10.1257/jep.7.1.83
   Brockhurst MA, 2013, TRENDS ECOL EVOL, V28, P367, DOI 10.1016/j.tree.2013.02.009
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Bussey M, 2012, FUTURES, V44, P385, DOI 10.1016/j.futures.2011.12.002
   Câmpeanu CN, 2014, GLOBAL ENVIRON CHANG, V28, P351, DOI 10.1016/j.gloenvcha.2014.04.010
   Carlsson-Kanyama A, 2013, FUTURES, V49, P9, DOI 10.1016/j.futures.2013.02.008
   Carroll Lewis., 2007, Through the Looking Glass
   Cliggett L, 2007, HUM ECOL, V35, P19, DOI 10.1007/s10745-006-9080-7
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Cox RS, 2011, AM J COMMUN PSYCHOL, V48, P395, DOI 10.1007/s10464-011-9427-0
   Crépin AS, 2007, ENVIRON RESOUR ECON, V36, P191, DOI 10.1007/s10640-006-9029-8
   Cuomo CJ, 2011, HYPATIA, V26, P690, DOI 10.1111/j.1527-2001.2011.01220.x
   Curry A, 2008, J FUTURES STUD, V13, P1, DOI 10.1117/1.2837450
   Davidson DJ, 2013, SOC NATUR RESOUR, V26, P21, DOI 10.1080/08941920.2012.749758
   Davies TE, 2014, ENVIRON CONSERV, V41, P357, DOI 10.1017/S0376892914000058
   DAVIS DL, 1993, SEX ROLES, V29, P457, DOI 10.1007/BF00289321
   Davis E. J., 2013, SOCIAL TRANSFORMATIO, P249
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Downing TE, 2012, WIRES CLIM CHANGE, V3, P161, DOI 10.1002/wcc.157
   Dreyer B, 2012, EUR J MARKETING, V46, P1268, DOI 10.1108/03090561211248026
   Eakin H, 2009, ENVIRON SCI POLICY, V12, P398, DOI 10.1016/j.envsci.2008.09.003
   Eames M, 2011, TECHNOL FORECAST SOC, V78, P769, DOI 10.1016/j.techfore.2010.09.002
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fazey I, 2007, FRONT ECOL ENVIRON, V5, P375, DOI 10.1890/1540-9295(2007)5[375:ACALTL]2.0.CO;2
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Fazey I, 2010, FRONT ECOL ENVIRON, V8, P414, DOI 10.1890/080215
   Ford JD, 2013, ANN ASSOC AM GEOGR, V103, P1193, DOI 10.1080/00045608.2013.776880
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Fratini CF, 2012, WATER SCI TECHNOL, V66, P2393, DOI 10.2166/wst.2012.442
   Garonna I, 2009, ENVIRON CONSERV, V36, P253, DOI 10.1017/S0376892909990208
   Gaventa John., 1980, Power and Powerlessness: Quiescence and Rebellion in an Appalachian Valley
   Gaventa John., 2005, REFLECTIONS USES POW
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Gess H, 2012, ECQUID NOVI-AFR JOUR, V33, P54, DOI 10.1080/02560054.2011.636828
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hagerman SM, 2010, ECOL SOC, V15
   Hanlon P, 2011, PUBLIC HEALTH, V125, P30, DOI 10.1016/j.puhe.2010.09.004
   Hatt K, 2013, SOC NATUR RESOUR, V26, P30, DOI 10.1080/08941920.2012.695859
   Hegmon M, 2008, AM ANTHROPOL, V110, P313, DOI 10.1111/j.1548-1433.2008.00041.x
   Hodgson A, 2013, HORIZON, V21, P24, DOI 10.1108/10748121311297049
   Horton SL, 2002, J ADULT DEV, V9, P277, DOI 10.1023/A:1020239027517
   Kapoor I, 2002, THIRD WORLD Q, V23, P101, DOI 10.1080/01436590220108199
   Kenter JO, 2011, GLOBAL ENVIRON CHANG, V21, P505, DOI 10.1016/j.gloenvcha.2011.01.001
   Leach M., 2010, ENV SOCIAL JUSTICE
   Lindstrom Lamont., 1993, Cargo Cult: Strange Stories of Desire from Melanesia and Beyond
   Lukes S., 2005, POWER
   Lyon C, 2013, RURAL SOCIOL, V78, P528, DOI 10.1111/ruso.12018
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   McLaughlin P, 2008, GLOBAL ENVIRON CHANG, V18, P99, DOI 10.1016/j.gloenvcha.2007.05.003
   McLaughlin P, 2011, ORGAN ENVIRON, V24, P269, DOI 10.1177/1086026611419862
   McLeman RA, 2014, POPUL ENVIRON, V35, P417, DOI 10.1007/s11111-013-0190-z
   Meadowcroft J, 2011, ENVIRON INNOV SOC TR, V1, P70, DOI 10.1016/j.eist.2011.02.003
   Miller R., 2011, ETHOS, V10, P23
   O'Brien K, 2013, PROG HUM GEOG, V37, P587, DOI 10.1177/0309132512469589
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Offermans A, 2012, ENVIRON SCI POLICY, V15, P13, DOI 10.1016/j.envsci.2011.10.003
   Offermans A, 2011, SUSTAIN DEV, V19, P312, DOI 10.1002/sd.439
   Orlove B, 2005, ENVIRON SCI POLICY, V8, P589, DOI 10.1016/j.envsci.2005.06.009
   Parkins W, 2004, TIME SOC, V13, P363, DOI 10.1177/0961463X04045662
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Rockström J, 2009, ECOL SOC, V14
   Sherman J, 2009, SOC PROBL, V56, P599, DOI 10.1525/sp.2009.56.4.599
   Steele W, 2012, HOUS THEORY SOC, V29, P172, DOI 10.1080/14036096.2011.641260
   Steffen W., 2004, Global change and the earth system: a planet under pressure, DOI [10.1007/b137870, DOI 10.1007/B137870]
   Thomsen DC, 2012, ECOL SOC, V17, DOI 10.5751/ES-04953-170320
   Tibbs H, 2011, J FUTURES STUD, V15, P13
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Tschakert P, 2014, ENVIRON PLANN A, V46, P1049, DOI 10.1068/a46257
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Valorinta M, 2011, IND INNOV, V18, P765, DOI 10.1080/13662716.2011.621745
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   Walker BH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05063-170330
   Wangel J, 2011, TECHNOL FORECAST SOC, V78, P872, DOI 10.1016/j.techfore.2011.03.007
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Yohe G, 2010, ANN NY ACAD SCI, V1196, P29, DOI 10.1111/j.1749-6632.2009.05310.x
NR 96
TC 74
Z9 87
U1 0
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JAN 1
PY 2016
VL 8
IS 1
BP 26
EP 44
DI 10.1080/17565529.2014.989192
PG 19
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA DG4JI
UT WOS:000372038100003
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Maleki, S
   Rahdari, V
   Baghdadi, N
   Pahlevanravi, A
AF Maleki, Saeideh
   Rahdari, Vahid
   Baghdadi, Nicolas
   Pahlevanravi, Ahmad
TI Where are Greater Climate Change Adaptation Measures Needed in a
   Wetland?
SO WETLANDS
LA English
DT Article
DE Wetland degradation; Climate change; Adaptation measure; Drought;
   Multicriteria evaluation
ID PRIORITIZATION; SUITABILITY; MITIGATION; FUTURE; BIRDS; TOOL
AB Climate change in arid areas leads to intensive drought, which causes widespread degradation in wetland ecosystems. Since wetlands play an important role in the sustainability of arid regions, climate change adaptation measures are required to conserve wetlands. However, how can we determine the regions that need increased adaptation measures? This paper aims to respond to this question and determine the regions that were highly degraded after climate change to consider them as high priority for adaptation measures. To reach this goal, degradation in the main factors that affect the functions of the Hamoun wetlands was detected in two periods, including wetland a one-year inundation period and over a 40-year period. The Hamoun wetlands are dealing with intensive drought because of the climate change that dries out these wetlands in some months and some years. Landsat images were classified using a support vector machine (SVM) in both the one-year inundation period and over 40 years to determine the regions that lost water and vegetation cover. The degradation of water bird habitat was also determined over both periods. The multicriteria evaluation (MCE) method was applied to overlay the layers and prioritize the regions for adaptation measures based on the degradation criteria. The two important contributions of this paper include introducing a functional method for the implementation of adaptation measures and running this method by the main components shared between all wetlands, which makes this method applicable in all regions.
C1 [Maleki, Saeideh; Pahlevanravi, Ahmad] Univ Zabol, Dept Nat Resources, Zabol, Iran.
   [Rahdari, Vahid] Univ Zabol, Hamoun Int Wetland Res Inst, Zabol, Iran.
   [Baghdadi, Nicolas] Univ Montpellier, INRAE, TETIS, Montpellier, France.
C3 AgroParisTech; INRAE; Universite de Montpellier
RP Maleki, S (corresponding author), Univ Zabol, Dept Nat Resources, Zabol, Iran.
EM smaleki@uoz.ac.ir
RI Baghdadi, Nicolas/A-8003-2011
FU University of Zabol [PR-UOZ98-2]
FX This work was supported by the University of Zabol under project code
   PR-UOZ98-2.
CR Adhikari S, 2018, FORESTS, V9, DOI 10.3390/f9090554
   Alavi Panah S. K., 2003, APPL REMOTE SENSING
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Biancalani R., 2014, Towards climate-responsible peatlands management
   Binder CR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05551-180426
   Bousbih S, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11131520
   Brugnach M, 2008, ECOL SOC, V13
   Calizza E, 2017, ECOL EVOL, V7, P5784, DOI 10.1002/ece3.2977
   Casalegno S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107822
   Dahmardeh M., 2017, J. Hydrosc. Environ., V1, P12
   Dong ZY, 2013, ECOL ENG, V55, P94, DOI 10.1016/j.ecoleng.2013.02.006
   Dragan M, 2003, ENVIRON MODELL SOFTW, V18, P861, DOI 10.1016/S1364-8152(03)00104-X
   ElBeltagy A., 2012, Agriculture Food Security, V1, P1, DOI DOI 10.1186/2048-7010-1-3
   Finlayson C. Max, 2006, P88
   Fischlin A., 2007, Ecosystems, their properties, goods, and services. Climate Change 2007: Impacts, P211, DOI DOI 10.1007/S10113-010-0191-8
   Goes Hanson C. E, CLIMATE CHANGE 2007
   Hawkins BA, 2007, AM NAT, V170, pS16, DOI 10.1086/519009
   Holzmueller EJ, 2011, ENVIRON MANAGE, V48, P150, DOI 10.1007/s00267-011-9660-1
   Hooijer A, 2010, BIOGEOSCIENCES, V7, P1505, DOI 10.5194/bg-7-1505-2010
   Inostroza L, 2017, ECOSYST SERV, V26, P303, DOI 10.1016/j.ecoser.2017.07.004
   Julius S.H., 2008, Preliminary review of adaptation options for climate-sensitive ecosystems and resources. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research, p2
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Levin S, 2013, ENVIRON DEV ECON, V18, P111, DOI 10.1017/S1355770X12000460
   Li CH, 2019, SCI TOTAL ENVIRON, V658, P305, DOI 10.1016/j.scitotenv.2018.12.128
   Lioubimtseva E, 2004, PROG PHYS GEOG, V28, P502, DOI 10.1191/0309133304pp422oa
   Lopez-Doriga U, 2019, SCI TOTAL ENVIRON
   Lu L., 2013, CHINESE J AGR RESOUR, V1, P71
   Maleki S, 2019, WEATHER CLIM SOC, V11, P609, DOI 10.1175/WCAS-D-18-0070.1
   Maleki S, 2018, ECOL ENG, V112, P132, DOI 10.1016/j.ecoleng.2017.12.031
   Maleki S, 2016, ECOL ENG, V95, P594, DOI 10.1016/j.ecoleng.2016.06.115
   Marjokorpi A, 2006, RESTOR ECOL, V14, P662, DOI 10.1111/j.1526-100X.2006.00178.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McAllister LS, 2000, WETLANDS, V20, P70, DOI 10.1672/0277-5212(2000)020[0070:ASAFPW]2.0.CO;2
   Moilanen A., 2009, Spatial Conservation Prioritisation: Quantitative Methods and Computational Tools, P260
   Morgan C, 2011, BUILDING RESILIENCE
   Newbold SC, 2005, ENVIRON MODEL ASSESS, V10, P251, DOI 10.1007/s10666-005-9002-x
   Olivier J.G. J., 2016, TRENDS GLOBAL CO2 EM
   Önal H, 2007, ECOL ECON, V60, P763, DOI 10.1016/j.ecolecon.2006.01.011
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pal M, 2005, INT J REMOTE SENS, V26, P217, DOI 10.1080/01431160412331269698
   [潘家华 Pan Jiahua], 2010, [中国人口·资源与环境, China Population·Resources and Environment], V20, P1
   Partow H., 2003, ATLAS GLOBAL CHANGE, P144
   Pelletier C, 2016, REMOTE SENS ENVIRON, V187, P156, DOI 10.1016/j.rse.2016.10.010
   Peng LZL, 2016, STRUCT INFRASTRUCT E, V12, P499, DOI 10.1080/15732479.2013.858270
   Ramsar, 2016, LIST WETLANDS INT IM
   RCB (Ramsar Convention Bureau), 2002, 8 M C CONTR PART CON
   RCS (Ramsar Convention Secretariat), 2010, RAMS HDB WIS US WETL, V4
   Rebelo LM, 2013, ENVIRON SCI POLICY, V34, P58, DOI 10.1016/j.envsci.2012.11.002
   Riley Laura., 2005, Nature's Strongholds: The World's Great Wildlife Reserves
   Rodríguez A, 2003, BIOL CONSERV, V109, P321, DOI 10.1016/S0006-3207(02)00158-1
   Sharifi N., 2011, ENV NATURAL RESOURCE, V1, DOI [10.5539/enrr.v1n1p189, DOI 10.5539/ENRR.V1N1P189]
   Stewart M.G., 2010, Int. J. Eng. Under Uncertainty, V2, P35
   UNDP, 2005, REST SUST US SHAR SI
   UNEP, 2002, SIST OAS PARCH DROUG
   UNEP-WMO-UNCCD, 2016, GLOB ASS SAND DUST S
   United Nations Office at Nairobi (UNEP), 2014, W AS REG MAST PLAN C
   Vale CG, 2015, GLOB ECOL CONSERV, V4, P369, DOI 10.1016/j.gecco.2015.07.012
   White D, 2005, ECOL ENG, V24, P359, DOI 10.1016/j.ecoleng.2005.01.012
   Winiarski KJ, 2014, BIOL CONSERV, V169, P79, DOI 10.1016/j.biocon.2013.11.004
   Zhao CL, 2018, ECOSYST HEALTH SUST, V4, P85, DOI 10.1080/20964129.2018.1466632
NR 61
TC 2
Z9 2
U1 1
U2 22
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0277-5212
EI 1943-6246
J9 WETLANDS
JI Wetlands
PD AUG
PY 2021
VL 41
IS 6
AR 74
DI 10.1007/s13157-021-01471-0
PG 14
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA UJ9EA
UT WOS:000691579800001
DA 2025-01-10
ER

PT J
AU O'Briain, R
   Shephard, S
   Matson, R
   Gordon, P
   Kelly, FL
AF O'Briain, Rossa
   Shephard, Samuel
   Matson, Ronan
   Gordon, Paul
   Kelly, Fiona L.
TI The efficacy of riparian tree cover as a climate change adaptation tool
   is affected by hydromorphological alterations
SO HYDROLOGICAL PROCESSES
LA English
DT Article
DE channelization; climate change proofing; cold-water species;
   hydromorphology; riparian buffers; stream temperature management
ID WATER TEMPERATURE; STREAM TEMPERATURE; RIVER TEMPERATURE; ASSEMBLAGE
   STRUCTURE; HYPORHEIC EXCHANGE; THERMAL REGIMES; DAM OPERATIONS; HUMAN
   IMPACTS; SALMON; FLOW
AB Riparian tree cover has been widely proposed as a key climate change adaptation and mitigation strategy for stream temperature management. Riparian tree cover moderates stream temperature by intercepting solar radiation, a significant heat source in affected systems. However, many aspects of hydromorphological state can shape the realised temperature regime of a river and these elements may interact with riparian tree cover. This study investigated the thermal buffering effect of tree cover on rivers with varying degrees of hydromorphological alteration for example, modified channel morphology, substrate and floodplain connectivity. Results indicated that the effectiveness of tree cover as a stream temperature management tool can change across systems depending on the extent of hydromorphological alteration. Greater tree cover had a pronounced cooling effect on stream temperature in altered study sites, but temperatures were typically still lower in more natural (less disturbed) sites, irrespective of the extent of tree cover. This finding suggests a hydromorphological threshold at which the effectiveness of riparian tree cover as a temperature management tool diminishes. Climate proofing in some rivers may thus require provision of both riparian tree cover and functioning hydromorphological processes to replicate more natural stream temperature dynamics. This perspective also suggests that more pristine rivers will retain greater resistance to projected temperature disturbance associated with a warming climate because of their inherent thermal buffering capacity.
C1 [O'Briain, Rossa; Shephard, Samuel; Matson, Ronan; Gordon, Paul; Kelly, Fiona L.] Inland Fisheries Ireland, 3044 Lake Dr,Citywest Business Campus, Dublin D24 Y265, Ireland.
RP O'Briain, R (corresponding author), Inland Fisheries Ireland, 3044 Lake Dr,Citywest Business Campus, Dublin D24 Y265, Ireland.
EM rossa.obriain@fisheriesireland.ie
OI O'Briain, Rossa/0000-0003-0480-4797; Kelly, Fiona/0000-0003-3627-3871
CR Aarts BGW, 2004, RIVER RES APPL, V20, P3, DOI 10.1002/rra.720
   [Anonymous], RIVER HYDROMORPHOLOG
   [Anonymous], DELIVERABLE D5 1 3 B
   [Anonymous], ANAL METHODS DYNAMIC
   [Anonymous], STREAM TEMPERATURE A
   [Anonymous], 2019, ArcGIS Desktop: Release 10.8
   [Anonymous], 2014, BENCHMARKING AUSTR U
   [Anonymous], 1 TREE CANOPY TECHNI
   [Anonymous], 2014, CLIMATE CHANGE 2014
   [Anonymous], RIV HYDR ASS TECHN R
   Arnold TW, 2010, J WILDLIFE MANAGE, V74, P1175, DOI 10.2193/2009-367
   Arthington AH, 2006, ECOL APPL, V16, P1311, DOI 10.1890/1051-0761(2006)016[1311:TCOPEF]2.0.CO;2
   Bastola S, 2011, ADV WATER RESOUR, V34, P562, DOI 10.1016/j.advwatres.2011.01.008
   Beechie T, 2013, RIVER RES APPL, V29, P939, DOI 10.1002/rra.2590
   Belletti B, 2015, ENVIRON EARTH SCI, V73, P2079, DOI 10.1007/s12665-014-3558-1
   Benjankar R, 2018, J ENVIRON MANAGE, V213, P126, DOI 10.1016/j.jenvman.2018.02.066
   Beschta R.L., 1997, RANGELANDS, V19, P25
   Birkel C, 2016, AQUAT SCI, V78, P203, DOI 10.1007/s00027-015-0417-4
   Bowler DE, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-3
   Broadmeadow SB, 2011, RIVER RES APPL, V27, DOI 10.1002/rra.1354
   Bunn SE, 2002, ENVIRON MANAGE, V30, P492, DOI 10.1007/s00267-002-2737-0
   Caissie D, 2006, FRESHWATER BIOL, V51, P1389, DOI 10.1111/j.1365-2427.2006.01597.x
   Caissie D, 2017, WATER RESOUR RES, V53, P1595, DOI 10.1002/2016WR019813
   Cardenas MB, 2004, WATER RESOUR RES, V40, DOI 10.1029/2004WR003008
   Ciszewski D, 2015, EARTH SURF PROC LAND, V40, P783, DOI 10.1002/esp.3686
   Death RG, 2015, FRESHWATER BIOL, V60, P2477, DOI 10.1111/fwb.12639
   Donnelly C, 2017, CLIMATIC CHANGE, V143, P13, DOI 10.1007/s10584-017-1971-7
   Dugdale SJ, 2018, WATER RESOUR MANAG, V32, P4853, DOI 10.1007/s11269-018-2057-7
   Dugdale SJ, 2017, EARTH-SCI REV, V175, P97, DOI 10.1016/j.earscirev.2017.10.009
   Dugdale SJ, 2018, SCI TOTAL ENVIRON, V610, P1375, DOI 10.1016/j.scitotenv.2017.08.198
   Dugdale SJ, 2015, REMOTE SENS ENVIRON, V160, P43, DOI 10.1016/j.rse.2014.12.021
   Ebersole JL, 2003, J AM WATER RESOUR AS, V39, P355, DOI 10.1111/j.1752-1688.2003.tb04390.x
   Evans DJ, 2006, GEOMORPHOLOGY, V79, P93, DOI 10.1016/j.geomorph.2005.09.018
   Feld CK, 2018, WATER RES, V139, P381, DOI 10.1016/j.watres.2018.04.014
   Filipe AF, 2013, HYDROBIOLOGIA, V719, P331, DOI 10.1007/s10750-012-1244-4
   Fleckenstein JH, 2006, GROUND WATER, V44, P837, DOI 10.1111/j.1745-6584.2006.00190.x
   Flodmark LEW, 2004, J FISH BIOL, V65, P460, DOI 10.1111/j.0022-1112.2004.00463.x
   Frechette DM, 2018, CAN J FISH AQUAT SCI, V75, P1999, DOI 10.1139/cjfas-2017-0422
   Fullerton AH, 2018, AQUAT SCI, V80, DOI 10.1007/s00027-017-0557-9
   Garner G, 2014, HYDROL EARTH SYST SC, V18, P5361, DOI 10.5194/hess-18-5361-2014
   Garner G, 2017, J HYDROL, V553, P471, DOI 10.1016/j.jhydrol.2017.03.024
   Ghermandi A, 2009, ECOL ENG, V35, P92, DOI 10.1016/j.ecoleng.2008.09.014
   Hancock PJ, 2002, ENVIRON MANAGE, V29, P763, DOI 10.1007/s00267-001-0064-5
   Hawkins CP, 1997, J N AM BENTHOL SOC, V16, P728, DOI 10.2307/1468167
   Hershkovitz Y, 2015, ECOL INDIC, V50, P150, DOI 10.1016/j.ecolind.2014.10.023
   Hester ET, 2011, J AM WATER RESOUR AS, V47, P571, DOI 10.1111/j.1752-1688.2011.00525.x
   Hester ET, 2010, ENVIRON SCI TECHNOL, V44, P1521, DOI 10.1021/es902988n
   Hooijer A, 2004, RIVER RES APPL, V20, P343, DOI 10.1002/rra.781
   Imholt C, 2011, J FISH BIOL, V78, P436, DOI 10.1111/j.1095-8649.2010.02838.x
   Jackson FL, 2017, HYDROL PROCESS, V31, P1225, DOI 10.1002/hyp.11087
   Jackson FL, 2018, SCI TOTAL ENVIRON, V612, P1543, DOI 10.1016/j.scitotenv.2017.09.010
   Johnson SL, 2000, CAN J FISH AQUAT SCI, V57, P30, DOI 10.1139/cjfas-57-S2-30
   Jones KL, 2006, ECOL SOC, V11
   Jonsson B, 2009, J FISH BIOL, V75, P2381, DOI 10.1111/j.1095-8649.2009.02380.x
   Justice C, 2017, J ENVIRON MANAGE, V188, P212, DOI 10.1016/j.jenvman.2016.12.005
   Kalbus E, 2009, HYDROL EARTH SYST SC, V13, P69, DOI 10.5194/hess-13-69-2009
   Kedra M, 2018, SCI TOTAL ENVIRON, V626, P1474, DOI 10.1016/j.scitotenv.2017.10.044
   Knouft JH, 2017, ANNU REV ECOL EVOL S, V48, P111, DOI 10.1146/annurev-ecolsys-110316-022803
   Kovach RP, 2016, REV FISH BIOL FISHER, V26, P135, DOI 10.1007/s11160-015-9414-x
   Kurylyk BL, 2015, ECOHYDROLOGY, V8, P1095, DOI 10.1002/eco.1566
   Lefcheck JS, 2016, METHODS ECOL EVOL, V7, P573, DOI 10.1111/2041-210X.12512
   Lewandowski J, 2011, HYDROL PROCESS, V25, P3244, DOI 10.1002/hyp.8062
   Loinaz MC, 2013, J HYDROL, V495, P238, DOI 10.1016/j.jhydrol.2013.04.039
   Lowney CL, 2000, WATER RESOUR RES, V36, P2947, DOI 10.1029/2000WR900142
   Magliozzi C, 2018, HYDROL EARTH SYST SC, V22, P6163, DOI 10.5194/hess-22-6163-2018
   Malcolm IA, 2004, HYDROL EARTH SYST SC, V8, P449, DOI 10.5194/hess-8-449-2004
   Malcolm IA, 2004, HYDROL PROCESS, V18, P1543, DOI 10.1002/hyp.1405
   Mantyka-Pringle CS, 2016, BIOL CONSERV, V197, P80, DOI 10.1016/j.biocon.2016.02.033
   Santiago JM, 2017, HYDROL EARTH SYST SC, V21, DOI 10.5194/hess-21-4073-2017
   McGinnity P, 2012, FISHERIES MANAG ECOL, V19, P69, DOI 10.1111/j.1365-2400.2011.00820.x
   Munz M, 2017, WATER RESOUR RES, V53, P8900, DOI 10.1002/2017WR020667
   Naiman R.J., 1992, WATERSHED MANAGEMENT, P127, DOI DOI 10.1007/978-1-4612-4382-3_6
   Nowak DJ, 2012, URBAN FOR URBAN GREE, V11, P21, DOI 10.1016/j.ufug.2011.11.005
   Nowak DJ, 2010, ENVIRON MANAGE, V46, P378, DOI 10.1007/s00267-010-9536-9
   O'Briain R, 2018, RIVER RES APPL, V34, P207, DOI 10.1002/rra.3244
   O'Briain R, 2019, FISHERIES MANAG ECOL, V26, P512, DOI 10.1111/fme.12326
   O'Briain R, 2019, ECOHYDROLOGY, V12, DOI 10.1002/eco.2099
   O'Briain R, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1890
   Olden JD, 2016, CONSERV BIOL SER, P107
   Olden JD, 2010, FRESHWATER BIOL, V55, P86, DOI 10.1111/j.1365-2427.2009.02179.x
   Ormerod SJ, 2009, AQUAT CONSERV, V19, P609, DOI 10.1002/aqc.1062
   Pinheiro J., 2020, R Package Version, V3, P1
   Pletterbauer F, 2018, AQUAT ECOL SER, V8, P203, DOI 10.1007/978-3-319-73250-3_11
   Pletterbauer F, 2015, HYDROBIOLOGIA, V744, P235, DOI 10.1007/s10750-014-2079-y
   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
   Poole GC, 2001, ENVIRON MANAGE, V27, P787, DOI 10.1007/s002670010188
   Poole GC, 2006, J N AM BENTHOL SOC, V25, P288, DOI 10.1899/0887-3593(2006)25[288:MGDOGF]2.0.CO;2
   Prats J, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010379
   Pusey BJ, 2000, ECOL FRESHW FISH, V9, P30, DOI 10.1034/j.1600-0633.2000.90105.x
   Rempel LL, 1999, J N AM BENTHOL SOC, V18, P34, DOI 10.2307/1468007
   Rutherford JC, 2004, MAR FRESHWATER RES, V55, P737, DOI 10.1071/MF04120
   Santiago JM, 2016, ECOHYDROLOGY, V9, P514, DOI 10.1002/eco.1653
   Schinegger R, 2012, WATER ENVIRON J, V26, P261, DOI 10.1111/j.1747-6593.2011.00285.x
   Schmidt C, 2006, HYDROL EARTH SYST SC, V10, P849, DOI 10.5194/hess-10-849-2006
   SEDELL JR, 1990, ENVIRON MANAGE, V14, P711, DOI 10.1007/BF02394720
   Seebacher F, 2015, NAT CLIM CHANGE, V5, P61, DOI 10.1038/NCLIMATE2457
   SIMON A, 1989, WATER RESOUR BULL, V25, P1177
   Singh T, 2019, WATER RESOUR RES, V55, P218, DOI 10.1029/2018WR022993
   Sommer TR, 2001, CAN J FISH AQUAT SCI, V58, P325, DOI 10.1139/cjfas-58-2-325
   Steel EA, 2017, BIOSCIENCE, V67, P506, DOI 10.1093/biosci/bix047
   Steele-Dunne S, 2008, J HYDROL, V356, P28, DOI 10.1016/j.jhydrol.2008.03.025
   Story A, 2003, CAN J FOREST RES, V33, P1383, DOI [10.1139/x03-087, 10.1139/X03-087]
   Sundt-Hansen LE, 2018, SCI TOTAL ENVIRON, V631-632, P1005, DOI 10.1016/j.scitotenv.2018.03.058
   Team R Core, 2018, R LANG ENV STAT COMP
   Tedesco PA, 2013, J APPL ECOL, V50, P1105, DOI 10.1111/1365-2664.12125
   Thompson MSA, 2018, J APPL ECOL, V55, P895, DOI 10.1111/1365-2664.13013
   Timpane-Padgham BL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173812
   Trimmel H, 2018, HYDROL EARTH SYST SC, V22, P437, DOI 10.5194/hess-22-437-2018
   Vaughan IP, 2009, AQUAT CONSERV, V19, P113, DOI 10.1002/aqc.895
   Webb BW, 2008, HYDROL PROCESS, V22, P902, DOI 10.1002/hyp.6994
   Webb BW, 1999, HYDROL PROCESS, V13, P309, DOI 10.1002/(SICI)1099-1085(19990228)13:3<309::AID-HYP740>3.0.CO;2-7
   Wenger SJ, 2011, P NATL ACAD SCI USA, V108, P14175, DOI 10.1073/pnas.1103097108
   White SM, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.192
   Wilby RL, 2010, SCI TOTAL ENVIRON, V408, P4150, DOI 10.1016/j.scitotenv.2010.05.014
   Williams JE, 2015, FISHERIES, V40, P304, DOI 10.1080/03632415.2015.1049692
   Woessner WW, 2017, METHODS IN STREAM ECOLOGY, VOL 1: ECOSYSTEM STRUCTURE, 3RD EDITION, P129, DOI 10.1016/B978-0-12-416558-8.00008-1
   Wondzell SM, 2019, J AM WATER RESOUR AS, V55, P116, DOI 10.1111/1752-1688.12707
   Wood C.M., 1997, Global Warming: Implications for Freshwater and Marine Fish
   Xenopoulos MA, 2005, GLOBAL CHANGE BIOL, V11, P1557, DOI 10.1111/j.1365-2486.2005.001008.x
NR 120
TC 11
Z9 11
U1 4
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0885-6087
EI 1099-1085
J9 HYDROL PROCESS
JI Hydrol. Process.
PD MAY 30
PY 2020
VL 34
IS 11
BP 2433
EP 2449
DI 10.1002/hyp.13739
PG 17
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA LO2KL
UT WOS:000533454500010
DA 2025-01-10
ER

PT J
AU Gwimbi, P
AF Gwimbi, Patrick
TI Mainstreaming national adaptation programmes of action into national
   development plans in Lesotho Lessons and needs
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Livelihoods; Lesotho; Climate change adaptation; Mainstreaming;
   Development plans; NAPAs
ID CLIMATE-CHANGE ADAPTATION; POLICY
AB Purpose-The concept of National Adaptation Programme of Action (NAPA) is advocated at international, regional and national levels. The concept is thought to foster sustainability of livelihoods against impacts of climate change. This paper analyses the mainstreaming of NAPA into national development plans in Lesotho as accentuated by policies and programmes.
   Design/methodology/approach-The analysis is broadly qualitative and reviews policies and projects on agriculture and food security, environment, forestry, water and irrigation aimed at sustaining rural livelihoods. Data from relevant government documents, commissioned studies' reports, literature and key stakeholders are used.
   Findings-Although the mainstreaming entry point for NAPA is identified in the country's Vision 2020 and National Strategic Development Plan (NSDP) 2012/13-2016/17, financial, technical, human and other resources are inadequate to ensure its effective implementation. There is little evidence of NAPA mainstreaming into development plans by the line ministries of finance and economic development other than donor-funded projects. Absence of climate change policy influence means NAPA is not well-factored into the national development agenda, as mainstreaming is difficult without appropriate policies. Most projects with effect on climate change impact abatement originate from specific sectors and are disconnected from each other.
   Originality/value-Based on the findings, ways to leverage NAPA via mainstreaming are discussed. It is concluded that NAPA mainstreaming offers a promising avenue for initiating and promoting sustainable livelihoods in Lesotho. The study demonstrates the applicability of the presented sustainable livelihood framework.
C1 [Gwimbi, Patrick] Natl Univ Lesotho, Dept Environm Hlth, Maseru, Lesotho.
RP Gwimbi, P (corresponding author), Natl Univ Lesotho, Dept Environm Hlth, Maseru, Lesotho.
EM pgwimbi@yahoo.com
CR Africa Adaptation Programme, 2012, 3 QUART REP
   African Technology Policy Studies (ATPS), 2013, FARM RESP THEIR AD S
   Agyemang K.K., 2013, J EC SUSTAINABLE DEV, V4, P54
   [Anonymous], 2000, SUST LIV GUID SHEETS
   [Anonymous], EUROPEAN PARLIAMENT
   [Anonymous], FINAL REPORT I CAPAC
   [Anonymous], STAT FOOD SEC WORLD
   [Anonymous], 2008, CONSERVING LAND PROT
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Berrang-Ford L, 2015, REG ENVIRON CHANGE, V15, P755, DOI 10.1007/s10113-014-0708-7
   Billingsley R., 2013, NEW DIALOGUE PUTTING
   Bisangwa E, 2013, THESIS
   Central Bank of Lesotho Economic Review, 2012, NAT STRAT DEV PLAN 2
   Chishakwe N.E., 2010, SO AFRICA SUB REGION
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Elasha B.O., 2007, EUROPEAN CAPACITY BU
   Esenjor A.F., 2004, THESIS
   FAO, 2005, LES SMALLH IRR IN
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Gorddard R., 2011, MITIGATION ADAPTATIO, DOI [10.1007/s11027-011-9301-2, DOI 10.1007/S11027-011-9301-2]
   Government of Lesotho (GOL), 2007, NAT AD PROGR ACT
   Government of Lesotho (GOL), 2008, NAT FOR POL GOV LES
   Green T. J., 1989, Commonwealth Forestry Review, V68, P125
   Gwimbi P., 2013, SO AFRICAN AGR CLIMA, P71
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hove H., 2011, Review of Current and Planned Adaptation Action: East Africa
   Huq S., 2002, LESSONS LEARNED ADAP
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Lebel L., 2012, MAINSTREAMING CLIMAT, P32
   Marake M., 2008, AFR SOIL SCI SOC C P
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mekbib S. B., 2011, MACHOBANE FARMING SY
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Meybeck A., 2012, BUILDING RESILIENCE
   Mokitimi N., 1992, AGRICULTURAL MARKETI
   Mutunga C., 2010, AFRICAN J REPROD HLT, V14, P1
   Ongugo P.O., 2014, 155 CIFOR
   Palmer A., 2014, SUPPORTING COUNTRIES
   Pervin M., 2013, WORKING PAPER
   Pramova E, 2012, CLIM POLICY, V12, P393, DOI 10.1080/14693062.2011.647848
   Ranganathan C., 2010, 333 ADBI
   Silici L, 2011, INT J AGR SUSTAIN, V9, P137, DOI 10.3763/ijas.2010.0555
   United Nations Development Programme (UNDP), 2010, QUART UPD ACT ISS
   United Nations Development Programme (UNDP), 2015, UNDP SUPP IN STRENGT
   Walker F., 2014, WORLD C CONS AGR WIN
   World Bank, 2009, 46947AFR WORLD BANK
NR 47
TC 5
Z9 5
U1 3
U2 8
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2017
VL 9
IS 3
BP 299
EP 315
DI 10.1108/IJCCSM-11-2015-0164
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EZ5TE
UT WOS:000404780400002
DA 2025-01-10
ER

PT J
AU Wróbel-Jedrzejewska, M
   Przybysz, L
   Wlodarczyk, E
AF Wrobel-Jedrzejewska, Magdalena
   Przybysz, Lukasz
   Wlodarczyk, Ewelina
TI Carbon footprint analysis of sugar production in Poland
SO FOOD AND BIOPRODUCTS PROCESSING
LA English
DT Article
DE Carbon footprint; Sugar production; Greenhouse gas emission; Food
   industry; Sustainable production; Energy consumption
AB Food production is a major contributor to greenhouse gas emissions and biodiversity loss, highlighting the need for a comprehensive approach to identify and reduce emissions. Efficient energy use is critical, alongside the adoption of low-carbon technologies that help agriculture and food processing adapt to climate change. Carbon footprint (CF) analysis is a key tool for assessing the environmental impact of food production and distribution, requiring a thorough evaluation of each product's life cycle from production to consumption. This study focused on the sugar production CF in three Polish plants, examining technological processes and creating unit process diagrams of the production cycle. This analysis led to the development of a database to calculate the CF based on production volume. The determined CF was 0.14-0.27 kg CO2eq/kg, and the average CFav: for plant 1-0.18; for plant 2-0.19; for plant 3-0.19 kg CO2eq/kg. Continuous monitoring is essential, allowing production practices to adapt to changing conditions and ensuring quick responses to sustainability needs. Reducing the sugar production CF involves several strategies, including adopting sustainable cultivation practices, optimizing production processes, using renewable energy sources, improving transportation efficiency, and minimizing waste. Together, these measures promote more environmentally responsible sugar production. By prioritizing sustainability and embracing innovative solutions, the food industry can significantly reduce its environmental impact, meeting the challenges of climate change and biodiversity loss.
C1 [Wrobel-Jedrzejewska, Magdalena; Przybysz, Lukasz; Wlodarczyk, Ewelina] Prof Waclaw Dabrowski Inst Agr & Food Biotechnol, State Res Inst, Dept Technol & Refrigerat Tech Lodz, Al Marszalka J Pilsudskiego 84, PL-92202 Lodz, Poland.
C3 Waclaw Dabrowski Institute of Biotechnology of Agricultural & Food
RP Wróbel-Jedrzejewska, M (corresponding author), Prof Waclaw Dabrowski Inst Agr & Food Biotechnol, State Res Inst, Dept Technol & Refrigerat Tech Lodz, Al Marszalka J Pilsudskiego 84, PL-92202 Lodz, Poland.
EM magdalena.jedrzejewska@ibprs.pl
RI Przybysz, Łukasz/IUM-7436-2023; WrobelJedrzejewska,
   Magdalena/KHE-0895-2024
FU Ministry of Agriculture and Rural Development [DRE.prz.070.2.2023]
FX Work carried out under the 2023 dedicated grant, financed by the
   Ministry of Agriculture and Rural Development, within the framework of
   Task 4 "Analysis and methodology for measuring the carbon footprint for
   selected agri-food technologies and products produced by the domestic
   food industry" (Contract No. DRE.prz.070.2.2023) .
CR Adu DA, 2023, J ENVIRON MANAGE, V347, DOI 10.1016/j.jenvman.2023.119256
   [Anonymous], 2001, The Scientific Basis
   [Anonymous], 2019, Resolution of the Council of Ministers of October 15, 2019 on the adoption of the "Strategy for sustainable development of rural areas, agriculture and fisheries 2030
   [Anonymous], Strategy for Responsible Development until 2020 (with a perspective until 2030.), przyjeta uchwala Rady Ministrow w dniu 14 lutego 2017 r
   [Anonymous], Directive (EU) 2022/2464 of the European Parliament and of the Council
   [Anonymous], 2020, Farm to Fork Strategy. For a Fair, Healthy and EnvironmentallyFriendly Food System
   [Anonymous], 2018, About us
   Bastianoni S, 2023, SCI TOTAL ENVIRON, V897, DOI 10.1016/j.scitotenv.2023.165245
   ec.europa, US
   EMEP/EEA air pollutant emission inventory guidebook, 2013, EEA Technical report No 12/2013.
   europa.eu, EU Green Deal,
   Fisher J, 2013, INT SUGAR J, V115, P782
   García CA, 2016, J CLEAN PROD, V112, P2632, DOI 10.1016/j.jclepro.2015.09.113
   GHGenius, 2010, GHGenius model 3.17.
   gov.pl, About us
   Hryniewicz M., 2015, Probl. Agric. Eng., V4, P89
   Klenk I., 2012, Sugar Ind, V137, P4
   KOBiZE, 2022, Emission Factors CO2, SO2, NOx, CO and Total Dust for Electricity Based on Information Contained in the National Database on Emissions of Greenhouse Gases and Other Substances for 2021
   Leal W, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156438
   Mirzabaev A., 2023, SCI INNOVATIONS FOOD, P511, DOI [10.1007/978-3-031-15703-527, DOI 10.1007/978-3-031-15703-527]
   Mytko K., 2020, about us
   Samani P, 2023, SCI TOTAL ENVIRON, V903, DOI 10.1016/j.scitotenv.2023.166611
   un, COP27
   Wang C, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117806
   Wróbel-Jedrzejewska M, 2024, AGRICULTURE-BASEL, V14, DOI 10.3390/agriculture14010014
   Yuttitham M, 2011, J CLEAN PROD, V19, P2119, DOI 10.1016/j.jclepro.2011.07.017
   Zhou XX, 2024, EVALUATION REV, V48, P32, DOI 10.1177/0193841X231166741
NR 27
TC 1
Z9 1
U1 2
U2 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0960-3085
EI 1744-3571
J9 FOOD BIOPROD PROCESS
JI Food Bioprod. Process.
PD DEC
PY 2024
VL 148
BP 88
EP 94
DI 10.1016/j.fbp.2024.08.014
EA SEP 2024
PG 7
WC Biotechnology & Applied Microbiology; Engineering, Chemical; Food
   Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Engineering; Food Science &
   Technology
GA F3O1W
UT WOS:001308942100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Champion, C
   Hobday, AJ
   Zhang, XB
   Coleman, MA
AF Champion, Curtis
   Hobday, Alistair J.
   Zhang, Xuebin
   Coleman, Melinda A.
TI Climate change alters the temporal persistence of coastal-pelagic fishes
   off eastern Australia
SO ICES JOURNAL OF MARINE SCIENCE
LA English
DT Article
DE adaptation; climate change; Coryphaena hippurus; fishing opportunity;
   range shift; Sarda australis; Scomberomorus commerson; Scomberomorus
   munroi; species distribution model; temporal habitat persistence
ID DISTRIBUTION MODELS; RANGE SHIFTS; HABITAT; OCEAN; PREDICTION; ACCURACY
AB The climate-driven redistribution of fisheries species is altering their availability to fishers, necessitating projections of species redistributions that directly relate to future fishing opportunities. We propose that a valuable proxy for fishing opportunity is the proportion of the year that target species are available to fishers, which can be approximated by the temporal persistence of suitable habitat in defined regions. Here, we quantify changes in temporal habitat persistence (months/year) within five eastern Australian bioregions over the period 2010-2060 for four coastal-pelagic fishes: bonito (Sarda australis), spotted mackerel (Scomberomorus munroi), Spanish mackerel (Scomberomorus commerson) and dolphinfish (Coryphaena hippurus). When species were analysed collectively, a significant reduction in the temporal persistence of suitable environmental habitats was evident in the most equatorward (i.e. Tweed-Moreton) bioregion, while significant positive increases were found for poleward bioregions (e.g. Batemans and Twofold Shelf bioregions). The greatest increases in temporal habitat persistence were projected for bonito in the Batemans Shelf bioregion and Spanish mackerel in the Hawkesbury Shelf bioregion (+2.2 and + 1.5 months/year between 10-year averages centered on 2020 and 2050, respectively). By demonstrating temporal habitat persistence as a measure of fishing opportunity, we highlight the potential for this metric to be an effective means of communicating to fishing stakeholders the need to adapt to climate change.
C1 [Champion, Curtis; Coleman, Melinda A.] NSW Dept Primary Ind, Fisheries Res, Coffs Harbour, NSW, Australia.
   [Champion, Curtis; Coleman, Melinda A.] Southern Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW, Australia.
   [Hobday, Alistair J.; Zhang, Xuebin] CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
C3 Department of Primary Industries & Regional Development NSW; Southern
   Cross University; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); CSIRO Oceans & Atmosphere
RP Champion, C (corresponding author), NSW Dept Primary Ind, Fisheries Res, Coffs Harbour, NSW, Australia.; Champion, C (corresponding author), Southern Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW, Australia.
EM curtis.champion@dpi.nsw.gov.au
RI Champion, Curtis/AAF-9242-2020; Hobday, Alistair/A-1460-2012; Zhang,
   Xuebin/A-3405-2012; Coleman, Melinda A/R-5563-2016
OI Champion, Curtis/0000-0002-8666-5112; Hobday,
   Alistair/0000-0002-3194-8326; Zhang, Xuebin/0000-0003-1731-3524;
   Coleman, Melinda A/0000-0003-2623-633X
FU NSW Climate Change Fund
FX We are grateful to all of the citizen scientists who have contributed to
   the New South Wales (NSW) Department of Primary Industries Gamefish
   Tagging Program since its inception in 1973. This work is part of the
   NSW Primary Industries Climate Change Research Strategy, funded by the
   NSW Climate Change Fund.
CR Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Amatulli G, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.40
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   Bailey SA, 2002, BIOL CONSERV, V108, P307, DOI 10.1016/S0006-3207(02)00119-2
   Barange Manuel, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P611
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Bates AE, 2014, GLOBAL ENVIRON CHANG, V26, P27, DOI 10.1016/j.gloenvcha.2014.03.009
   Begg GA, 1998, MAR FRESHWATER RES, V49, P261, DOI 10.1071/MF97187
   Bonebrake TC, 2018, BIOL REV, V93, P284, DOI 10.1111/brv.12344
   Briscoe DK, 2017, DEEP-SEA RES PT II, V140, P182, DOI 10.1016/j.dsr2.2016.11.004
   Brodie S, 2018, ICES J MAR SCI, V75, P1573, DOI 10.1093/icesjms/fsy057
   Brodie S, 2021, ECOGRAPHY, V44, P832, DOI 10.1111/ecog.05504
   Brodie S, 2017, DEEP-SEA RES PT II, V140, P222, DOI 10.1016/j.dsr2.2017.03.004
   Brodie S, 2015, FISH OCEANOGR, V24, P463, DOI 10.1111/fog.12122
   Champion C, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.622299
   Champion C, 2019, MAR FRESHWATER RES, V70, P33, DOI 10.1071/MF17387
   Champion C, 2018, GLOBAL CHANGE BIOL, V24, P5440, DOI 10.1111/gcb.14398
   Dallimer M, 2015, TRENDS ECOL EVOL, V30, P132, DOI 10.1016/j.tree.2014.12.004
   Davis TR, 2021, MAR ENVIRON RES, V166, DOI 10.1016/j.marenvres.2021.105267
   Dell J, 2011, FISH OCEANOGR, V20, P383, DOI 10.1111/j.1365-2419.2011.00591.x
   Eveson JP, 2015, FISH RES, V170, P39, DOI 10.1016/j.fishres.2015.05.008
   Feng M, 2017, GEOPHYS RES LETT, V44, P2859, DOI 10.1002/2017GL072577
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Gervais CR, 2021, GLOBAL CHANGE BIOL, V27, P3200, DOI 10.1111/gcb.15634
   Gregr EJ, 2019, ECOGRAPHY, V42, P428, DOI 10.1111/ecog.03470
   Griffies S.M., 2009, GFDL OCEAN GROUP TEC, V6, P444
   Hazen EL, 2013, NAT CLIM CHANGE, V3, P234, DOI 10.1038/NCLIMATE1686
   Henry W.H., 2003, NATL RECREATIONAL IN
   Hill NJ, 2016, GLOBAL CHANGE BIOL, V22, P1086, DOI 10.1111/gcb.13129
   Himes-Cornell A, 2015, FISH RES, V162, P1, DOI 10.1016/j.fishres.2014.09.010
   Hobday AJ, 2016, FISH OCEANOGR, V25, P45, DOI 10.1111/fog.12083
   Hobday AJ, 2014, REV FISH BIOL FISHER, V24, P415, DOI 10.1007/s11160-013-9326-6
   Hobday AJ, 2010, PROG OCEANOGR, V86, P291, DOI 10.1016/j.pocean.2010.04.023
   Hobday AJ, 2009, FISH RES, V95, P332, DOI 10.1016/j.fishres.2008.10.004
   Interim Marine and Coastal Regionalisation for Australia Technical Group, 1998, INT MAR COAST REG AU
   Jones MC, 2015, FISH FISH, V16, P603, DOI 10.1111/faf.12081
   Kobayashi S, 2015, J METEOROL SOC JPN, V93, P5, DOI 10.2151/jmsj.2015-001
   Lenoir J, 2020, NAT ECOL EVOL, V4, P1044, DOI 10.1038/s41559-020-1198-2
   Ling SD, 2009, GLOBAL CHANGE BIOL, V15, P719, DOI 10.1111/j.1365-2486.2008.01734.x
   Ling SD, 2009, MAR ECOL PROG SER, V374, P113, DOI 10.3354/meps07729
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Manel S, 1999, ECOL MODEL, V120, P337, DOI 10.1016/S0304-3800(99)00113-1
   Martínez B, 2018, DIVERS DISTRIB, V24, P1350, DOI 10.1111/ddi.12767
   McPherson, 1993, ASIAN FISH SCI, V8, P169
   Morley JW, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196127
   NSW DPI, GAM FISH TAGG PROGR
   Oke PR, 2013, GEOSCI MODEL DEV, V6, P591, DOI 10.5194/gmd-6-591-2013
   Payne MR, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00100
   Pecl G.T., 2019, AMBIO, P1
   Pecl GT, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00349
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pecl GT, 2014, REV FISH BIOL FISHER, V24, P409, DOI 10.1007/s11160-014-9355-9
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   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]
   R Core Team, 2019, R LANG ENV STAT COMP
   Rees MJ, 2018, BIOL CONSERV, V224, P100, DOI 10.1016/j.biocon.2018.04.040
   Ridgway KR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030392
   Robinson LM, 2015, DEEP-SEA RES PT II, V113, P225, DOI 10.1016/j.dsr2.2014.04.007
   Rogers LA, 2019, NAT CLIM CHANGE, V9, P512, DOI 10.1038/s41558-019-0503-z
   Samy-Kamal M, 2015, FISH RES, V172, P303, DOI 10.1016/j.fishres.2015.07.027
   Schoeman DS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0141976
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Selden RL, 2020, ICES J MAR SCI, V77, P188, DOI 10.1093/icesjms/fsz211
   Smith JA, 2021, FISH OCEANOGR, V30, P437, DOI 10.1111/fog.12529
   Smith JA, 2016, MAR BIOL, V163, DOI 10.1007/s00227-016-2967-y
   Spillman CM, 2009, CORAL REEFS, V28, P197, DOI 10.1007/s00338-008-0438-8
   Stockwell DRB, 2002, ECOL MODEL, V148, P1, DOI 10.1016/S0304-3800(01)00388-X
   Sunday JM, 2015, ECOL LETT, V18, P944, DOI 10.1111/ele.12474
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thorson JT, 2016, METHODS ECOL EVOL, V7, P990, DOI 10.1111/2041-210X.12567
   Thorstad Eva B., 2011, P1
   Townhill BL, 2019, FISH FISH, V20, P977, DOI 10.1111/faf.12392
   Wu LX, 2012, NAT CLIM CHANGE, V2, P161, DOI 10.1038/NCLIMATE1353
   Zhang X., 2016, GEOSCI MODEL DEV DIS, P1, DOI [10.5194/gmd-2016-17, DOI 10.5194/GMD-2016-17]
   Zhang XB, 2017, GEOPHYS RES LETT, V44, P8481, DOI 10.1002/2017GL074176
   Zuur Alain F., 2009, P1
NR 76
TC 4
Z9 4
U1 3
U2 15
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1054-3139
EI 1095-9289
J9 ICES J MAR SCI
JI ICES J. Mar. Sci.
PD MAY 23
PY 2022
VL 79
IS 4
BP 1083
EP 1097
DI 10.1093/icesjms/fsac025
EA FEB 2022
PG 15
WC Fisheries; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Marine & Freshwater Biology; Oceanography
GA 1K9QH
UT WOS:000757533400001
DA 2025-01-10
ER

PT J
AU Blázquez, CS
   Borge-Diez, D
   Nieto, IM
   Maté-González, MA
   Martín, AF
   González-Aguilera, D
AF Saez Blazquez, Cristina
   Borge-Diez, David
   Martin Nieto, Ignacio
   Angel Mate-Gonzalez, Miguel
   Farfan Martin, Arturo
   Gonzalez-Aguilera, Diego
TI Investigating the potential of the slurry technology for sustainable pig
   farm heating
SO ENERGY
LA English
DT Article
DE Farms; Slurry technology; Ground source heat pump systems; Greenhouse
   gases emissions; Operational costs; Initial investment
ID SWINE
AB Sustainable energy development in the farming sector is an essential strategy to respond the combined challenge of achieving a reliable and affordable solution but including mitigation and adaptation to climate change. Intensive breeding farms require maintaining an adequate indoor thermal environment that results in high energy demands, usually covered by fossil fuels and electricity. This paper addresses the application of the combined slurry technology for a particular pig farm that currently uses a diesel boiler to supply the piglet heating energy needs. The study also considers different options based on closed ground source heat pump systems. After the design of the slurry alternative and the geothermal ones, notable advantages are detected compared to the existing diesel system. Results show that the implementation of the slurry technology implies an important reduction of the operational costs, which, in turn, involves short amortization periods for this system in relation to the diesel one. Greenhouse gases emissions are also highly reduced in the slurry alternative based on the low electricity use of the heat pump. The environmental side is reinforced by the reduction of polluting substances such as methane of ammonia derived from the descent of temperature of the slurry. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
C1 [Saez Blazquez, Cristina; Martin Nieto, Ignacio; Farfan Martin, Arturo; Gonzalez-Aguilera, Diego] Univ Salamanca, Higher Polytech Sch Avila, Dept Cartog & Land Engn, Hornos Caleros 50, Avila 05003, Spain.
   [Borge-Diez, David] Univ Leon, Dept Elect Syst & Automat Engn, Leon, Spain.
   [Angel Mate-Gonzalez, Miguel] Tech Univ Madrid, Higher Tech Sch Engineers Topog Geodesy & Cartog, Dept Topog & Cartog Engn, Mercator 2, Madrid 28031, Spain.
C3 University of Salamanca; Universidad de Leon; Universidad Politecnica de
   Madrid
RP Blázquez, CS (corresponding author), Univ Salamanca, Higher Polytech Sch Avila, Dept Cartog & Land Engn, Hornos Caleros 50, Avila 05003, Spain.
EM u107596@usal.es
RI Martín, Arturo/AAN-6312-2020; Nieto, Ignacio/AAY-1514-2020; Borge-Diez,
   David/B-1191-2018; Mate-Gonzalez, Miguel Angel/I-4466-2017; Saez
   Blazquez, Cristina/B-4643-2017
OI Borge-Diez, David/0000-0003-0529-539X; Gonzalez-Aguilera,
   Diego/0000-0002-8949-4216; Mate-Gonzalez, Miguel
   Angel/0000-0001-5721-346X; Martin Nieto, Ignacio/0000-0003-3984-7228;
   Farfan Martin, Arturo/0000-0002-1506-1207; Saez Blazquez,
   Cristina/0000-0002-5333-0076
CR ALB SISTEMAS, 2020, TAR PREC SIST GEOT
   Alberti L, 2018, AGR WATER MANAGE, V195, P187, DOI 10.1016/j.agwat.2017.10.009
   [Anonymous], 2020, FACT EM REG HUELL CA
   [Anonymous], 2007, PRONT SOL CONSTR
   [Anonymous], 2017, AGR IND EN US
   [Anonymous], 2017, 131632013A2 UNEEN
   [Anonymous], 2016, COM/2016/0860-Clean energy for all Europeans
   BARBER EM, 1989, CAN J ANIM SCI, V69, P7, DOI 10.4141/cjas89-002
   Borge-Diez D, 2015, ENERGY, V88, P821, DOI 10.1016/j.energy.2015.07.005
   Carslaw H. S., 1986, CONDUCTION HEAT SOLI
   Corre W J., 2003, Proceedings of the Open Meeting of the International Fertiliser Society, P24
   de Visser C.L.M., 2012, State of the Art on Energy Efficiency in Agriculture, Country Data on Energy Consumption in Different Agro Production Sectors in the European Countries
   European Commission, 2016, SWD2016405 EUR COMM
   European Environment Agency, 2020, NAT EM REP UNFCCC EU
   Farabi-Asl H, 2018, GEOTHERMICS, V71, P34, DOI 10.1016/j.geothermics.2017.08.005
   Grundos, 2020, 512 CM GRUND
   Guia T, 2010, GUIA TECN DIS CENTR
   Hessel E.F., 2010, P 17 WORLD C INT COM
   Huegle Th U, 2001, 014098 ASABE
   Ilsters A., 2009, ENG RURAL DEV, V28, P29
   Ilsters Andrievs, 2009, POSSIBILITIES HEA TP, V28, P29
   INE, 2021, SPAN I NAT STAT
   Instituto para la Diversificaci ~on y Ahorro de la Energia (IDAE), 2012, GUIA TECN DIS SIST I
   Islam MM, 2016, ENERG BUILDINGS, V111, P446, DOI 10.1016/j.enbuild.2015.11.057
   Kavanaugh Stephen P., 1997, GROUND SOURCE HEAT P
   Kythreotou N, 2012, ENERGY, V40, P226, DOI 10.1016/j.energy.2012.01.077
   Meyer-Aurich A, 2013, PRIORITIES ENERGY EF
   Paolo Montobbio, 2017, BEST AVAILABLE TECHN
   Pulat E, 2009, ENERGY, V34, P1284, DOI 10.1016/j.energy.2009.05.001
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Bláquez CS, 2020, GEOTHERMICS, V87, DOI 10.1016/j.geothermics.2020.101852
   Sommer SG, 2007, NUTR CYCL AGROECOSYS, V78, P27, DOI 10.1007/s10705-006-9072-4
   Vaillant Cat, 2020, CAT TAR BOMB CAL
   Wang MZ, 2012, AASRI PROC, V2, P8, DOI 10.1016/j.aasri.2012.09.004
   Yang WB, 2009, APPL ENERG, V86, P2005, DOI 10.1016/j.apenergy.2008.11.008
NR 35
TC 5
Z9 6
U1 0
U2 17
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 NOV 1
PY 2021
VL 234
AR 121258
DI 10.1016/j.energy.2021.121258
EA JUN 2021
PG 11
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA UK6ZY
UT WOS:000692117200005
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Folkers, A
AF Folkers, Andreas
TI Preventing the Unpreparable. Catastrophe Thresholds from Covid to
   Climate
SO SOCIOLOGICA-INTERNATIONAL JOURNAL FOR SOCIOLOGICAL DEBATE
LA English
DT Article
DE Social theory; sociology of risk; critical security studies; resilience;
   environ-mental security
ID EARTH SYSTEM; PREPAREDNESS; SECURITY
AB This article analyses thresholds of catastrophe guiding measures to fight the Covid-19 pan-demic and climate change. It argues that in both cases thresholds express the proposed interaction between the security technologies of prevention and preparedness. Preventive measures are supposed to slow down the infection dynamic and the rise of global tem-peratures, so that strategies of preparedness are able to cope with the remaining adversi-ties: effectively treating patients and successfully adapting to climate change. The trans-gression of the catastrophe threshold thus marks the point when crisis dynamics become uncontrollable. The goal is to prevent the unpreparable and to prepare for the unavoid-able. A moral economy of life underpins this rationality by providing a backstop against an excess of biopolitical elasticity in setting the threshold. The paper contributes to de-bates in security studies and the sociology of risk by showing how prevention and pre-paredness, which are often assumed to be opposing rationalities, come to operate in the same security assemblages. In addition, the paper criticizes the ways in which the focus on the catastrophe threshold silences death and suffering below the threshold and fails to provide guidance for situations when the threshold is already breeched. Considering the advanced state and the peculiar temporality of the climate crisis, the paper analyzes a shift from ???pre??? (preparedeness, prevention) to ???re??? (carbon removal, ecological remediation and reparation) in the contemporary politics of environmental security.
C1 [Folkers, Andreas] Justus Liebig Univ Giessen, Inst Sociol, Giessen, Germany.
C3 Justus Liebig University Giessen
RP Folkers, A (corresponding author), Justus Liebig Univ Giessen, Inst Sociol, Giessen, Germany.
EM Andreas.Folkers@sowi.uni-giessen.de
CR Amoore L., 2008, Risk and the War on Terror
   Anders Gunther., 1980, Die Antiquiertheit des Menschen, Vol. 2, V1
   Anderson B, 2020, PROG HUM GEOG, V44, P621, DOI 10.1177/0309132519849263
   Anderson B, 2010, PROG HUM GEOG, V34, P777, DOI 10.1177/0309132510362600
   [Anonymous], 2020, ARZTEBLATT 0331
   [Anonymous], 2007, Interim pre-pandemic planning guidance: Community strategy for pandemic influenza mitigation in the United States - Early, targeted, and layered use of nonpharmaceutical interventions
   Aradau Claudia., 2011, Politics of Catastrophe: Geneaologies of the unknown
   Arendt Hannah., 2018, The Human Condition
   Boehmer-Christiansen S., 1994, INTERPRETING PRECAUT
   Bond D, 2018, ENV CRITICAL REFLECT, V64
   Brockling U., 2012, SICHERHEITSKULTUR SO, P93
   Butterwegge Christoph, 2021, Wirtschaftsdienst, V101, P11, DOI 10.1007/s10273-021-2817-5
   Calhoun C, 2004, CAN REV SOC ANTHROP, V41, P373
   Carton W, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.671
   Clark N, 2010, THEOR CULT SOC, V27, P31, DOI 10.1177/0263276409356000
   Collier SJ, 2008, ECON SOC, V37, P224, DOI 10.1080/03085140801933280
   Collier SJ, 2008, ENVIRON PLANN D, V26, P7, DOI 10.1068/d446t
   Collier SJ, 2015, THEOR CULT SOC, V32, P19, DOI 10.1177/0263276413510050
   Dahan A, 2010, STUD HIST PHILOS M P, V41, P282, DOI 10.1016/j.shpsb.2010.08.002
   Durkheim Emile., 2014, The Rules of the Sociological Method
   Economist The., 2020, ECONOMIST 0229
   Edenhofer Ottmar, Leviathan, V39, P201, DOI [10.1007/S11578-011-0115-0, DOI 10.1007/S11578-011-0115-0]
   Ellebrecht Nils, 2013, AUFBRUCH INS UNVERSI, P235
   Ellebrecht Nils, 2009, SOCIOL INT, V47, P229
   Elliott R, 2021, SOCIOLOGICA, V15, P1, DOI 10.6092/issn.1971-8853/12824
   Ewald Francois., 2020, BIRTH SOLIDARITY HIS
   Ewald Francois., 2002, Embracing Risk: The Changing Culture of Insurance and Responsibility, P273
   Fassin D, 2012, HUMANITARIAN REASON: A MORAL HISTORY OF THE PRESENT, P1
   Fearnley L, 2008, ENVIRON PLANN A, V40, P1615, DOI 10.1068/a4060
   Felgentreff Carsten, 2008, NATURRISIKEN SOZIALK, P13
   Field CB, 2017, SCIENCE, V356, P706, DOI 10.1126/science.aam9726
   Folkers A., 2020, BEHEMOTH A J CIVILIS, V13, P16, DOI [10.6094/behemoth.2020.13.2.1044, DOI 10.6094/BEHEMOTH.2020.13.2.1044]
   Folkers A, 2021, TIME SOC, V30, P223, DOI 10.1177/0961463X20987965
   Folkers A, 2019, SECUR DIALOGUE, V50, P493, DOI 10.1177/0967010619868385
   Folkers A, 2017, ENVIRON PLANN D, V35, P855, DOI 10.1177/0263775817698699
   Folkers A, 2017, ECON SOC, V46, P103, DOI 10.1080/03085147.2017.1307650
   Folkers Andreas, 2018, Das Sicherheitsdispositiv der Resilienz. Katastrophische Risiken und die Biopolitik vitaler Systeme
   Foucault M., 1966, Les mots et les choses
   Foucault M., 2007, Security, territory
   Foucault Michel, 1995, Discipline and Punish: The Birth of the Prison
   Gandy M., 2004, CITY, V8, P363, DOI [https://doi.org/10.1080/1360481042000313509, DOI 10.1080/1360481042000313509]
   German Federal Government, 2008, DTSCH ANPASSUNGSSTRA
   Graefe S., 2020, LEVIATHAN, V48, P407, DOI [DOI 10.5771/0340-0425-2020-3-407, 10.]
   Gupta J, 2014, HISTORY OF GLOBAL CLIMATE GOVERNANCE, P1, DOI 10.1017/CBO9781139629072
   Hackenbach F., 2020, TAGESSPIEGEL 26 MARC
   Hacking I., 1990, The Taming of Chance
   Hansen J., 2008, Open Atmosphere Science Journal, V2, P217, DOI 10.2174/1874282300802010217
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Honneth Axel., 2011, WestEnd: Neue Zeitschrift fur Sozialforschung, V8, P67
   Horn E., 2021, Pandemics, Politics, and Society: Critical Perspectives on the Covid-19 Crisis, P123
   [Houghton J.T. Intergovernmental Panel on Climate Change Intergovernmental Panel on Climate Change], 2001, CONTRIBUTION WORKING, P881
   Juhl S., 2020, MANNHEIMER CORONA ST, P14
   Keck F., 2017, Cryopolitics: Frozen Life in a Melting World, P117
   Knopf B., 2012, CLIMATE CHANGE JUSTI, P121, DOI DOI 10.1007/978-94-007-4540-7_12
   Lakoff A., 2020, CONVERSATION    0402
   Lakoff A, 2008, CULT ANTHROPOL, V23, P399, DOI 10.1111/j.1548-1360.2008.00013.x
   Lakoff A, 2007, PUBLIC CULTURE, V19, P247, DOI 10.1215/08992363-2006-035
   Latour B, 2004, CRIT INQUIRY, V30, P225, DOI 10.1086/421123
   Latour Bruno., 1984, MICROBES GUERRE PAIX
   Leanza M, 2017, Z PR VENTION GENEALO, DOI [10.5771/9783845292496, DOI 10.5771/9783845292496]
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Luhmann N., 2003, Soziologie des Risikos
   Massumi Brian., 2007, THEORY PRACTICE, V10, P1, DOI [DOI 10.1353/TAE.2007.0066, 10.1353/tae.2007.0066]
   Merkel A., 2020, TELEFONSCHALTKONFERE
   Merkel A., 2020, PRESSEKONFERENZ NACH
   Merkel Angela., 2020, Pressekonferenz von Bundeskanzlerin Merkel zu MaSSnahmen der Bundesregierung im Zusammenhang mit dem CoronavirusRede
   Opitz S, 2017, EUR J SOC THEORY, V20, P392, DOI 10.1177/1368431016671141
   Opitz S, 2015, THEOR CULT SOC, V32, P107, DOI 10.1177/0263276414560416
   Ourbak T, 2018, REG ENVIRON CHANGE, V18, P2201, DOI 10.1007/s10113-017-1247-9
   Rabinow Paul., 1995, French Modern: Norms and Forms of the Social Environment
   Randalls S, 2010, WIRES CLIM CHANGE, V1, P598, DOI 10.1002/wcc.62
   Redfield P, 2013, LIFE IN CRISIS: THE ETHICAL JOURNEY OF DOCTORS WITHOUT BORDERS, P1
   Redfield Peter., 2008, HUMANITARIANISM QUES, P196, DOI DOI 10.7591/9780801461538-010
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Sarasin P., 2007, BAKTERIOLOGIE MODERN
   Scarselli D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22725-9
   Schellnhuber HJ, 1999, NATURE, V402, pC19, DOI 10.1038/35011515
   Serres Michel, 1995, CONVERSATIONS SCI CU
   Tol RSJ, 2007, ENERG POLICY, V35, P424, DOI 10.1016/j.enpol.2005.12.003
   UBA, 2001, SPATE LEHREN FRUHEN
   UBA, 2008, DEUTSCHLAND KLIMAWAN
   United Nations, 2015, Paris Agreement
   Wakefield S., 2020, Anthropocene Back Loop: Experimentation in Unsafe Operating Space
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Warde PaulLibby Robin Sverker Sorlin., 2018, The Environment: A History of the Idea, DOI [10.1353/book.99575, DOI 10.1353/BOOK.99575]
   Weingart P., 1988, RASSE BLUT GENE
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Young OR., 2009, Principles of ecosystem stewardship, P295
   ,, 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 90
TC 5
Z9 4
U1 1
U2 4
PU UNIV BOLOGNA, DEPT ARTS
PI Bologna
PA Via Zamboni, 33, Bologna, ITALY
EI 1971-8853
J9 SOCIOLOGICA
JI SOCIOLOGICA
PY 2021
VL 15
IS 3
BP 85
EP 106
DI 10.6092/issn.1971-8853/13564
PG 22
WC Sociology
WE Emerging Sources Citation Index (ESCI)
SC Sociology
GA 5L4CK
UT WOS:000870362100007
DA 2025-01-10
ER

PT J
AU Radeny, M
   Desalegn, A
   Mubiru, D
   Kyazze, F
   Mahoo, H
   Recha, J
   Kimeli, P
   Solomon, D
AF Radeny, Maren
   Desalegn, Ayal
   Mubiru, Drake
   Kyazze, Florence
   Mahoo, Henry
   Recha, John
   Kimeli, Philip
   Solomon, Dawit
TI Indigenous knowledge for seasonal weather and climate forecasting across
   East Africa
SO CLIMATIC CHANGE
LA English
DT Article
AB Climate information and agro-advisory services are crucial in helping smallholder farmers and pastoralists in East Africa manage climate-related risks and adapt to climate change. However, significant gaps exist in provision of climate information that effectively addresses the needs of farmers and pastoralists. Most farmers and pastoralists, therefore, rely on indigenous knowledge (IK), where local indicators and experiences are used to observe and forecast weather conditions. While IK-based forecasting is inbuilt and established in many communities in East Africa, coordinated research and systematic documentation of IK for weather forecasting, including accuracy and reliability of IK is largely lacking. This paper documents and synthesizes existing IK for weather forecasting in East Africa using case studies from Ethiopia, Tanzania, and Uganda. The results show that farmers and pastoralists use a combination of meteorological, biological, and astrological indicators to forecast local weather conditions. IK weather forecasting is, therefore, crucial in supporting efforts to improve access to climate information in East Africa, especially in resource-poor and vulnerable communities. The paper draws valuable lessons on how farmers and pastoralists in East Africa use IK weather forecasts for making crop and livestock production decisions and demonstrates that the trust and willingness to apply scientific forecasts by farmers and pastoralists is likely to increase when integrated with IK. Therefore, a systematic documentation of IK, and a framework for integrating IK and scientific weather forecasting from national meteorological agencies can improve accuracy, uptake, and use of weather forecasts.
C1 [Radeny, Maren; Recha, John] Int Livestock Res Inst, CGIAR Res Program Climate Change, Agr & Food Secur Program, Nairobi, Kenya.
   [Desalegn, Ayal] Addis Ababa Univ, Ctr Food Secur Studies, Addis Ababa, Ethiopia.
   [Mubiru, Drake] Natl Agr Res Labs, Soils Environm & Agrometeorol Unit, Kawanda, Uganda.
   [Kyazze, Florence] Makerere Univ, Coll Agr & Environm Sci, Kampala, Uganda.
   [Mahoo, Henry] Sokoine Univ Agr, Dept Agr Engn & Land Planning, Morogoro, Tanzania.
   [Kimeli, Philip] Rift Valley Water Works Dev Agcy, Nakuru, Kenya.
   [Solomon, Dawit] ILRI, CGIAR Res Program Climate Change, Agr & Food Secur Program, Addis Ababa, Ethiopia.
C3 CGIAR; International Livestock Research Institute (ILRI); Addis Ababa
   University; Makerere University; Sokoine University of Agriculture;
   CGIAR; International Livestock Research Institute (ILRI)
RP Radeny, M (corresponding author), Int Livestock Res Inst, CGIAR Res Program Climate Change, Agr & Food Secur Program, Nairobi, Kenya.
EM m.radeny@cgiar.org
RI Ayal, Desalegn/AAG-3042-2021
OI Recha, John/0000-0002-1146-7197; Ayal, Desalegn Y/0000-0001-8966-2673
FU CGIAR Trust Fund
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), which is carried
   out with support from CGIAR Trust Fund Donors and through bilateral
   funding agreements. For details, please visit
   https://ccafs.cgiar.org/donors. The views expressed in this document
   cannot be taken to reflect the official opinions of these organizations.
CR Acharya S, 2011, INDIAN J TRADIT KNOW, V10, P114
   [Anonymous], 2015, Statistical Abstract
   Ayal DY, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1416-6
   Chang'a L.B., 2010, Journal of Geography and Regional Planning, V3, P66
   Desta S, 2011, CGIAR RES PROGRAM CL
   Egeru A, 2012, INDIAN J TRADIT KNOW, V11, P217
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Galacgac ES, 2009, FOREST ECOL MANAG, V257, P2044, DOI 10.1016/j.foreco.2009.01.002
   Kadi M., 2011, CCAFS Working Paper 5
   Kalanda-Joshua M, 2011, PHYS CHEM EARTH, V36, P996, DOI 10.1016/j.pce.2011.08.001
   Kijazi A.L., 2013, Journal of Geography and Regional Planning, V6, P274, DOI [DOI 10.5897/JGRP2013.0386, 10.5897/JGRP2013.0386, https://doi.org/10.5897/JGRP2013.0386]
   Kyazze F.B., 2011, Summary of Baseline Household Survey Results: Rakai District, South Central Uganda
   Luseno WK, 2003, WORLD DEV, V31, P1477, DOI 10.1016/S0305-750X(03)00113-X
   Lyamchai C., 2011, SUMMARY BASELINE HOU
   Mbungu W., 2015, 103 CCAFS CGIAR RES
   Moran J.M., 1997, METEOROLOGY ATMOSPHE, V5th
   Mubiru DN, 2015, 121 CCAFS
   Mubiru DN., 2012, Summary of baseline household survey results: Hoima District, West Central Uganda
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Osunade M.A., 1994, MALAYS J TROP GEOGR, V1, P21
   Risiro J., 2012, J EMERGING TRENDS ED, V3, P561
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Ziervogel Gina., 2010, Climate Change Adaptation in Africa Learning Paper Series
NR 24
TC 65
Z9 68
U1 1
U2 21
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD OCT
PY 2019
VL 156
IS 4
BP 509
EP 526
DI 10.1007/s10584-019-02476-9
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA JJ3FE
UT WOS:000494045900004
DA 2025-01-10
ER

PT J
AU Jones, JL
   Jenkins, RO
   Haris, PI
AF Jones, Jonathan L.
   Jenkins, Richard O.
   Haris, Parvez I.
TI Extending the geographic reach of the water hyacinth plant in removal of
   heavy metals from a temperate Northern Hemisphere river
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CRASSIPES MART. SOLMS; PHYSIOLOGICAL-RESPONSES; IRON PLAQUE;
   PHYTOREMEDIATION; LEAD; LOCALIZATION; BIOSORPTION; BIOMASS; ZINC;
   ACCUMULATION
AB Water hyacinth (Eichhornia crassipes) has been used for environmentally sustainable phytoremediation of water, though its use has been geographically restricted. For the first time we extend its geographical reach by investigating its potential for clean-up of water from a highly polluted British river (Nant-Y-Fendrod, a tributary of the River Tawe). Investigations using the plant were conducted at three levels: a bench-scale study using polluted river water and synthetic solutions; an in-situ trial using water hyacinth within the Nant-Y-Fendrod; and a bankside trial to pump and treat river water. The removal of the largest number of heavy metals (21) from water in a single study using ICP-MS is reported, including Sb, for the first time. Results are promising, with bench-scale tests demonstrating up to 63% removal of Al, 62% Zn, 47% Cd, 22% Mn and 23% As, during just seven hours exposure to the plant. When extended to three weeks exposure, removal is evident in the order Al > Cd > Zn > Mn > Ni > As > V. Furthermore, in-situ mean removal of 6%, 11% and 15% of Mn, Zn and Cd respectively is demonstrated. As the world learns to adapt to climate change, studies of the type reported here are needed to exploit the remarkable phytoremediation potential of water hyacinth.
C1 [Jones, Jonathan L.; Jenkins, Richard O.; Haris, Parvez I.] De Montfort Univ, Fac Hlth & Life Sci, Leicester LE1 9BH, Leics, England.
   [Jones, Jonathan L.] Nat Resources Wales, Britann Way West, Llandarcy SA10 6JQ, Neath Port Talb, Wales.
C3 De Montfort University
RP Haris, PI (corresponding author), De Montfort Univ, Fac Hlth & Life Sci, Leicester LE1 9BH, Leics, England.
EM pharis@dmu.ac.uk
OI Haris, Parvez/0000-0002-4071-3553
FU De Montfort University; Natural Resources Wales
FX The authors would like to thank De Montfort University for supporting
   this research. The authors would also like to thank Natural Resources
   Wales for their continuing support in this work, particularly Chris
   Palmer for his assistance with the sampling work and the analytical
   staff at their National Laboratory Service.
CR Agunbiade FO, 2009, BIORESOURCE TECHNOL, V100, P4521, DOI 10.1016/j.biortech.2009.04.011
   Al Rmalli SW, 2005, J ENVIRON MONITOR, V7, P279, DOI 10.1039/b500932d
   Alcjin L., 2018, OTHER METALS ELEMENT
   Alloway B.J., 2013, HEAVY METALS SOILS T, V22, P11, DOI [10.1007/978-94-007-4470-7, DOI 10.1007/978-94-007-4470-7_2]
   [Anonymous], 2008, INT C ENV RES TECHNO
   Anuja Sharma Anuja Sharma, 2016, Journal of Environmental Science and Technology, V9, P26
   Arisz W. H., 1961, RECENT ADV BOT, V11, P1125
   BAKER A J M, 1989, Biorecovery, V1, P81
   BARRETT SCH, 1980, J APPL ECOL, V17, P113, DOI 10.2307/2402967
   Battacharya A. K., 2010, J ENV AGR FOOD CHEM, V9, P111
   Bhuyan M. S., 2017, ENV ENERGY EC, V2017, P12
   Bowen H., WALES ONLINE WELSH H
   Buta E, 2014, NOT BOT HORTI AGROBO, V42, P173
   Chai X., 2017, SCI REPORTS, V7
   Chaney RL, 1997, CURR OPIN BIOTECH, V8, P279, DOI 10.1016/S0958-1669(97)80004-3
   Clark J., 2003, GEN FEATURES TRANSIT
   Das S, 2016, TURK J BIOL, V40, P84, DOI 10.3906/biy-1411-86
   DAVIES BE, 1987, HYDROBIOLOGIA, V149, P213, DOI 10.1007/BF00048662
   Dou Z.X., 1988, Agro-Environ., V7, P38
   Ernst WHO, 1996, APPL GEOCHEM, V11, P163, DOI 10.1016/0883-2927(95)00040-2
   FOUREST E, 1992, APPL MICROBIOL BIOT, V37, P399, DOI 10.1007/BF00211001
   FRIIS N, 1986, BIOTECHNOL BIOENG, V28, P21, DOI 10.1002/bit.260280105
   GALUN M, 1987, WATER AIR SOIL POLL, V33, P359, DOI 10.1007/BF00294204
   Gopal B., 1987, Water hyacinth.
   Greenwood M. S., 2009, J SUSTAINABLE FOREST, V28
   Gupta A, 2015, J WATER PROCESS ENG, V7, P74, DOI 10.1016/j.jwpe.2015.05.008
   Hao LL, 2017, SCI REP-UK, V7, DOI 10.1038/srep42881
   Hasan SH, 2010, BIORESOURCES, V5, P563
   Hellmann J. J., 2008, CONSERVATION BIOL, V22
   Hill W. G. J., 1997, P INT WAT HYAC CONS
   Hilton K.J., 1967, LOWER SWANSEA VALLEY
   JAIN SK, 1990, WATER RES, V24, P177, DOI 10.1016/0043-1354(90)90100-K
   Jayaweera MW, 2008, J ENVIRON MANAGE, V87, P450, DOI 10.1016/j.jenvman.2007.01.013
   Jones J. L., 2017, WIT Transactions on Ecology and the Environment, V216, P143
   Kaur M, 2018, BIORESOURCE TECHNOL, V251, P390, DOI 10.1016/j.biortech.2017.11.082
   Kriticos DJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0120054
   Lavender S. J., 1981, NEW LAND FOR OLD
   Liao SW, 2004, J AQUAT PLANT MANAGE, V42, P60
   LIU ZY, 2018, SCI REPORTS, V8
   Losch R., 1999, Heavy Metal Stress in Plants, P139, DOI [DOI 10.1007/978-3-662-07745-0_7, 10.1007/978-3-662-07745-0_7]
   Lu Xiaomei, 2004, ScienceAsia, V30, P93, DOI 10.2306/scienceasia1513-1874.2004.30.093
   Mubarak H, 2015, TOXICOL ENVIRON CHEM, V97, P1296, DOI 10.1080/02772248.2015.1095549
   Newete SW, 2016, ENVIRON SCI POLLUT R, V23, P20805, DOI 10.1007/s11356-016-7292-y
   Ojeifo M., 2000, P INT C WAT HYAC NEW, P183
   OTTE ML, 1989, NEW PHYTOL, V111, P309, DOI 10.1111/j.1469-8137.1989.tb00694.x
   Paquin PR, 2002, COMP BIOCHEM PHYS C, V133, P3, DOI 10.1016/S1532-0456(02)00112-6
   Parmar S., 2015, J. Plant Sci. Res., V2, P139
   Prasad MNV, 2001, PLANT SCI, V161, P881, DOI 10.1016/S0168-9452(01)00478-2
   Priya ES, 2017, ARAB J CHEM, V10, pS3548, DOI 10.1016/j.arabjc.2014.03.002
   Ramesh SA, 2003, PLANT PHYSIOL, V133, P126, DOI 10.1104/pp.103.026815
   Rezania S, 2015, J ENVIRON MANAGE, V163, P125, DOI 10.1016/j.jenvman.2015.08.018
   Scibi M. C., 2017, CLEAN-SOIL AIR WATER, V45
   SHARPE V, 1976, J EXP BOT, V27, P1155, DOI 10.1093/jxb/27.6.1155
   Shi X., 2010, 4 INT C BIOINF BIOM, DOI [10.1109/ICBBE.2010.5516121, DOI 10.1109/ICBBE.2010.5516121]
   Singh J, 2015, ENVIRON ENG RES, V20, P212, DOI 10.4491/eer.2015.024
   Sinha V, 2018, J ENVIRON MANAGE, V206, P715, DOI 10.1016/j.jenvman.2017.10.033
   Skinner K, 2007, ENVIRON POLLUT, V145, P234, DOI 10.1016/j.envpol.2006.03.017
   Stratford H.K., 1984, Aquatic Toxicology, V5, P117
   Teng Y., 2006, CHINESE J GEOCHEMIST, V25, P379, DOI [10.1007/s11631-006-0378-3, DOI 10.1007/S11631-006-0378-3]
   Tipping E, 1998, AQUAT GEOCHEM, V4, P3, DOI 10.1023/A:1009627214459
   Vesk PA, 1999, PLANT CELL ENVIRON, V22, P149, DOI 10.1046/j.1365-3040.1999.00388.x
   Wei SH, 2009, J HAZARD MATER, V162, P1571, DOI 10.1016/j.jhazmat.2008.05.088
   WINTER H., 1961, ACTA BOT NEERLAND, V10, P341
   Wolverton B. C., 1975, TM107272 NASA
   Yan SH, 2017, CRIT REV BIOTECHNOL, V37, P218, DOI 10.3109/07388551.2015.1132406
   Ye ZH, 1997, NEW PHYTOL, V136, P481, DOI 10.1046/j.1469-8137.1997.00758.x
   Yixiong L., 1990, ACAD SINICA OCEANOLO, V21, P179
   Zheng JC, 2016, ENVIRON POLLUT, V219, P837, DOI 10.1016/j.envpol.2016.08.001
   Zhu YL, 1999, J ENVIRON QUAL, V28, P339, DOI 10.2134/jeq1999.00472425002800010042x
NR 69
TC 23
Z9 25
U1 0
U2 26
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUL 23
PY 2018
VL 8
AR 11071
DI 10.1038/s41598-018-29387-6
PG 15
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA GN8NP
UT WOS:000439421600039
PM 30038241
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Pearce, T
   Currenti, R
   Mateiwai, A
   Doran, B
AF Pearce, Tristan
   Currenti, Renee
   Mateiwai, Asinate
   Doran, Brendan
TI Adaptation to climate change and freshwater resources in Vusama village,
   Viti Levu, Fiji
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Water security; Indigenous; Pacific; Small islands; Vulnerability;
   Health
ID ADAPTIVE CAPACITY; VULNERABILITY; COMMUNITIES
AB Changing precipitation patterns including more intense and prolonged dry periods have become a growing concern for people living in the Pacific Island region. People in the region are particularly sensitive to these changes given their resource-based livelihoods and high dependence on rainfall for their freshwater needs. Despite this, little attention has been given to understanding the implications of climatic changes for people and their capacity to manage these changes. This paper assesses human vulnerability to climate change (as it relates to fresh water resources) in Vusama, an iTaukei village in southwest Viti Levu, Fiji in the context of recent social and ecological changes. An analysis of data collected using a vulnerability approach that included semi-structured interviews, participant observation and analysis of secondary sources reveal that climate change together with behavioural changes are negatively affecting availability and access to clean freshwater, with implications for household economies, food security and human health. In particular, prolonged drought and changing seasonal patterns, together with people's increasing reliance on a village borehole in lieu of family wells have resulted in a freshwater crisis. People are coping by using earnings from wage employment and harvesting and selling seafood to buy water and vegetables, rationing freshwater and depending on extended social networks for fresh produce. Current responses are reactive and short-term. Longer-term adaptation strategies are needed that consider expected future climate change and broader human development goals.
C1 [Pearce, Tristan; Currenti, Renee; Doran, Brendan] Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4558, Australia.
   [Mateiwai, Asinate] Univ South Pacific, Laucala Campus, Suva, Fiji.
C3 University of the Sunshine Coast; University of the South Pacific
RP Pearce, T (corresponding author), Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4558, Australia.
EM tpearce@usc.edu.au; rcurrent@usc.edu.au; s11141654@student.usp.ac.fj;
   bfdoran@gmail.com
RI Pearce, Tristan/L-9139-2019
OI Pearce, Tristan/0000-0002-5384-5870
FU University of the Sunshine Coast; New Colombo Plan scholarships
FX Vinaka vaka levu to the people of Vusama. We thank the ratu Tui Nasoni
   and the people of Vusama for welcoming us to their village and into
   their hearts. In particular, we thank the interview respondents, the
   families that hosted us during our stay and turaga-nikoro Watisoni Bete.
   Thank you to Danielle Rietberg, Roger Kitson, Zoe Arch, Ananaiasa
   (Tukai) Vunituraga and Taione Lua for research assistance. Thank you to
   Lui Manuel and Ilaitia Ikurisaru (Tulei) of the Nadroga-Navosa
   Provincial Council for guiding results verification and dissemination
   with the village. The research was supported by a Fellowship Grant from
   the University of the Sunshine Coast and New Colombo Plan scholarships.
   We thank Marie Puddister for the creation of Fig.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], DEB 2015 APPR BILL
   [Anonymous], NZ GEOGR
   [Anonymous], 2007, ATOLL RES BULL, DOI DOI 10.5479/SI.00775630.551.1
   [Anonymous], COUNTR REP AUSTR BUR
   [Anonymous], THE CLIM OF FIJ
   [Anonymous], WATER SANITATION PRO
   Bernard H.R., 2012, SOCIAL RES METHODS Q
   Cazenave A, 2014, NAT CLIM CHANGE, V4, P358, DOI [10.1038/NCLIMATE2159, 10.1038/nclimate2159]
   Church JA, 2011, SURV GEOPHYS, V32, P585, DOI 10.1007/s10712-011-9119-1
   DONNELLY TA, 1994, FIJI PACIFIC HIST GE
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Hare WL, 2011, REG ENVIRON CHANGE, V11, pS1, DOI 10.1007/s10113-010-0195-4
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters, DOI DOI 10.1007/s10666-008-9179-x
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McIver L, 2016, ENVIRON HEALTH PERSP, V124, P1707, DOI 10.1289/ehp.1509756
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stocker, 2014, CLIMATE CHANGE 2013
   Sutherland K., 2005, TIEMPO, V54, P11
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Vaioleti T., 2016, Waikato J. Educ, V12, P21, DOI [10.15663/wje.v12i1.296, DOI 10.15663/WJE.V12I1.296]
   Warrick O.C., 2011, Local voices, local choices? Vulnerability to climate change and community-based adaptation in rural Vanuatu
   White I, 2010, HYDROGEOL J, V18, P227, DOI 10.1007/s10040-009-0525-0
   Williams GJ, 2010, MAR POLLUT BULL, V60, P1467, DOI 10.1016/j.marpolbul.2010.05.009
   Zhang XC, 2005, AGR FOREST METEOROL, V131, P127, DOI 10.1016/j.agrformet.2005.05.005
NR 30
TC 29
Z9 29
U1 2
U2 34
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD FEB
PY 2018
VL 18
IS 2
SI SI
BP 501
EP 510
DI 10.1007/s10113-017-1222-5
PG 10
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FV5SS
UT WOS:000424643300017
DA 2025-01-10
ER

PT J
AU Cruz, G
   Baethgen, W
   Bartaburu, D
   Bidegain, M
   Giménez, A
   Methol, M
   Morales, H
   Picasso, V
   Podestá, G
   Taddei, R
   Terra, R
   Tiscornia, G
   Vinocur, M
AF Cruz, G.
   Baethgen, W.
   Bartaburu, D.
   Bidegain, M.
   Gimenez, A.
   Methol, M.
   Morales, H.
   Picasso, V.
   Podesta, G.
   Taddei, R.
   Terra, R.
   Tiscornia, G.
   Vinocur, M.
TI Thirty Years of Multilevel Processes for Adaptation of Livestock
   Production to Droughts in Uruguay
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
ID CHANGING CLIMATE; POLICY; SCIENCE; RISK; CHALLENGES; MANAGEMENT; SYSTEMS
AB Most countries lack effective policies to manage climate risks, despite growing concerns with climate change. The authors analyzed the policy evolution from a disaster management to a risk management approach, using as a case study four agricultural droughts that impacted Uruguay's livestock sector in the last three decades. A transdisciplinary team of researchers, extension workers, and policy makers agreed on a common conceptual framework for the interpretation of past droughts and policies. The evidence presented shows that the set of actions implemented at different levels when facing droughts were mainly reactive in the past but later evolved to a more integral risk management approach. A greater interinstitutional integration and a decreasing gap between science and policy were identified during the period of study. Social and political learning enabled a vision of proactive management and promoted effective adaptive measures. While the government of Uruguay explicitly incorporated the issue of adaptation to climate change into its agenda, research institutions also fostered the creation of interdisciplinary study groups on this topic, resulting in new stages of learning. The recent changes in public policies, institutional governance, and academic research have contributed to enhance the adaptive capacity of the agricultural sector to climate variability, and in particular to drought. This study confirms the relevance of and need to work within a transdisciplinary framework to effectively address the different social learning dimensions, particularly those concerning the adaptation to global change.
C1 [Cruz, G.; Picasso, V.] Univ Republica, Fac Agron, Dept Sistemas Ambientales, Montevideo, Uruguay.
   [Baethgen, W.] Columbia Univ, Int Res Inst Climate & Soc, Palisades, NY USA.
   [Bartaburu, D.; Morales, H.] Inst Plan Agr, Montevideo, Uruguay.
   [Bidegain, M.] Inst Uruguayo Meteorol, Montevideo, Uruguay.
   [Gimenez, A.; Tiscornia, G.] Inst Nacl Invest Agr, Unidad Agroclima & Sistemas Informac, Canelones, Uruguay.
   [Methol, M.] Minist Ganaderia Agr & Pesca, Oficina Programac & Polit Agr, Montevideo, Uruguay.
   [Picasso, V.] Univ Wisconsin Madison, Dept Agron, Madison, WI 53706 USA.
   [Podesta, G.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Div Meteorol & Phys Oceanog, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
   [Taddei, R.] Univ Fed Sao Paulo, Sao Paulo, Brazil.
   [Terra, R.] Univ Republica, Fac Ingn, Inst Mecan Fluidos & Ingn Ambiental, Montevideo, Uruguay.
   [Vinocur, M.] Agrometeorol Univ Nacl Rio Cuarto, Fac Agron & Vet, Dept Ecol Agr, Cordoba, Argentina.
C3 Universidad de la Republica, Uruguay; Columbia University; Instituto
   Nacional de Investigacion Agropecuaria Uruguay (INIA); University of
   Wisconsin System; University of Wisconsin Madison; University of Miami;
   Universidade Federal de Sao Paulo (UNIFESP); Universidad de la
   Republica, Uruguay
RP Picasso, V (corresponding author), Univ Republica, Fac Agron, Dept Sistemas Ambientales, Montevideo, Uruguay.; Picasso, V (corresponding author), Univ Wisconsin Madison, Dept Agron, Madison, WI 53706 USA.
EM picassorisso@wisc.edu
RI Baethgen, Walter/B-6610-2009; Tiscornia, Guadalupe/Z-1474-2019; PICASSO,
   VALENTIN/F-9336-2010; Taddei, Renzo/I-9090-2012; Baethgen,
   Walter/M-8084-2016; Podesta, Guillermo/L-7100-2015
OI Tiscornia, Guadalupe/0000-0002-6650-651X; Taddei,
   Renzo/0000-0002-9935-6183; Baethgen, Walter/0000-0003-2052-2052;
   Podesta, Guillermo/0000-0002-4909-0567
FU Inter-American Institute for Global Change Research (IAI) [CRN3106];
   U.S. National Science Foundation [GEO-1128040, 1211613]; Scientific
   Research Commission (CSIC) from Universidad de la Republica (UdelaR;
   Uruguay); Directorate For Geosciences [1211613] Funding Source: National
   Science Foundation
FX This work was carried out with the aid of a grant from the
   Inter-American Institute for Global Change Research (IAI) CRN3106, which
   is supported by the U.S. National Science Foundation (Grant
   GEO-1128040), and the support of the Scientific Research Commission
   (CSIC) from Universidad de la Republica (UdelaR; Uruguay). G. Podesta's
   participation was partially supported by U.S. National Science
   Foundation Grant 1211613.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2007, Revista Ciencia Animal, Facultad de Ciencias Agronomicas Universidad de Chile
   [Anonymous], 2007, HUMAN DEV OCCASIONAL
   [Anonymous], 1993, DROUGHT ASSESSMENT M
   Astigarraga L., 2002, APLICACION PRONOSTIC
   ASTIGARRAGA L., 2013, MGAP FAO REP, V3
   Astigarraga L., 2009, OBJETIVOS CTR INTERD
   Astigarraga L., 2015, CTR INTERDISCIPLINAR, P37
   Astigarraga L., 2016, AGROMETEOROS, V24, P97
   Baethgen WE, 2010, CROP SCI, V50, pS70, DOI 10.2135/cropsci2009.09.0526
   BARTABURU D, 2009, FAMILIAS CAMPO RESCA, P155
   Beratan KK, 2007, PUBLIC ADM PUBLIC PO, V130, P527
   BERTINO Magdalena, 2000, SERIE DOCUMENTOS TRA
   Bettolli María Laura, 2010, Rev. bras. meteorol., V25, P248
   Bidegain M., 2013, MGAP FAO REP, V1
   Brasesco G. C., 2014, TRANSFERRING CLIMATE
   Cáceres DM, 2016, CURR OPIN ENV SUST, V19, P57, DOI 10.1016/j.cosust.2015.12.003
   Caffera R. M., 1989, RECURRENCIA ANOMALIA
   Clark W. C., 2005, 120 CTR INT DEV
   Cruz G., 2007, SEMANA REFLEXION CAM, P146
   Cruz G., 2013, CAMBIO VARIABILIDAD, P23
   De Grossi A., 2000, REV I PLAN AGROPECU, V90, P53
   de la Mothe J, 2003, MINERVA, V41, P195, DOI 10.1023/A:1025561613229
   De Torres M. F., 2007, SEMANA REFLEXION CAM, P176
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Gabriela C, 2014, AGROCIENCIA-URUGUAY, V18, P126
   Gimenez A., 2006, 27 AIACC LA
   Gray B., 2003, MAKING SENSE INTRACT
   INAC, 2016, SER STOCK GAN
   INIA, 2016, UN AGR SIST INF
   INUMET, 2015, LEY CREAC INUMET
   Lacuesta P., 2000, CONTROL AMAMANTAMIET, P52
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lee K.N., 1999, Conservation Ecology, V3, P3, DOI DOI 10.5751/ES-00131-030203
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lindemann T., 2013, MGAP FAO REP, V2
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Meagher L, 2008, RES EVALUAT, V17, P163, DOI 10.3152/095820208X331720
   Methol M., 2015, ANUARIO OPYPA 2015, P377
   MGAP, 2015, PROYECT MAS TECN
   MGAP, 2015, PROYECT GAN FAM CAMB
   MGAP, 2013, PROYECT DES AD CAMB
   Montes E., 2009, REV I PLAN AGROPECU, V131, P58
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Nooteboom S., 2006, Adaptive networks: The governance for sustainable development
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Paolino C., 2010, ANUARIO OPYPA 2010, P277
   Perdomo L. Piedrabuena, 2011, CENSO GEN AGROPECUAR
   Pereira G., 2003, GANADERIA URUGUAY
   Picasso V., 2011, 5 WORLD C CONS AGR I, P1
   Picasso V., 2013, CAMBIO VARIABILIDAD
   Picasso VD, 2014, MEAT SCI, V98, P346, DOI 10.1016/j.meatsci.2014.07.005
   Pulwarty RS, 2014, WEATHER CLIM EXTREME, V3, P14, DOI 10.1010/j.wace.2014.03.005
   Ropelewski CF, 1989, J CLIMATE, V2, P268, DOI 10.1175/1520-0442(1989)002<0268:PPAWTH>2.0.CO;2
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P1606, DOI 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2
   Saravia A., 2011, Manejo del Rodeo de Cria Sobre Campo Natural. Plan Agropecuario
   Saravia H., 2013, INIA SERIE TECNICA, V207
   Sivakumar M.V.K, 2011, P EXP M JUL 14 15 20
   Sivakumar MVK, 2014, WEATHER CLIM EXTREME, V3, P126, DOI 10.1016/j.wace.2014.03.007
   SNRCC, 2009, DECR CREAC SIST NAC
   Soca P., 1992, INIA Rep, P54
   Soca P., 1992, EFECTO DESTETE TEMPO, P45
   Taleb N.N., 2012, Anti-Fragile: Things That Gain from Disorder, V3
   Thompson D, 2013, AGRAR FRONT, V1, P55
   Tippett J, 2005, ENVIRON SCI POLICY, V8, P287, DOI 10.1016/j.envsci.2005.03.003
   TORRES ALVAREZ M. F. D., 2014, EUTOPIA, P25
   Vicente-Serrano SM, 2015, J HYDROL, V526, P42, DOI 10.1016/j.jhydrol.2014.11.025
   Vicente-Serrano SM, 2012, APPL GEOGR, V34, P471, DOI 10.1016/j.apgeog.2012.02.001
   Vila F., 2002, ANUARIO OPYPA 2002
   Villalba C., 2015, ESTUDIO MESAS DESARR
   Wilhite DA, 2000, ROUTLEDGE HAZARDS DI, P3
   Wilhite DA, 2014, WEATHER CLIM EXTREME, V3, P4, DOI 10.1016/j.wace.2014.01.002
   Young JC, 2014, BIODIVERS CONSERV, V23, P387, DOI 10.1007/s10531-013-0607-0
NR 75
TC 13
Z9 14
U1 1
U2 10
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 JAN
PY 2018
VL 10
IS 1
BP 59
EP 74
DI 10.1175/WCAS-D-16-0133.1
PG 16
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 FU3QU
UT WOS:000423767600006
OA Green Published
DA 2025-01-10
ER

PT C
AU Sainte-Marie, J
   Henrot, A
   Barrandon, M
   Nouvellon, Y
   Roupsard, O
   Laclau, JP
   Saint-André, L
AF Sainte-Marie, J.
   Henrot, A.
   Barrandon, M.
   Nouvellon, Y.
   Roupsard, O.
   Laclau, J. -P.
   Saint-Andre, L.
BE Kang, M
   Dumont, Y
   Guo, Y
TI Modeling the Environmental and Seasonal Influence on Canopy Dynamic and
   Litterfall of Even-Aged Forest Ecosystems by a Model Coupling Growth &
   Yield and Process-Based Approaches
SO 2012 IEEE FOURTH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING,
   SIMULATION, VISUALIZATION AND APPLICATIONS (PMA)
LA English
DT Proceedings Paper
CT IEEE 4th International Symposium on Plant Growth Modeling, Simulation,
   Visualization and Applications (PMA)
CY OCT 31-NOV 03, 2012
CL Shanghai, PEOPLES R CHINA
SP IEEE, CASIA, CIRAD, China Agr Univ, LIAMA, Chinese Acad Sci, NSFC, Republique Francaise, Ministere Affaires Etrangeres & Europeennes, PICB
DE Crop Models; Forest Growth Models; Dynamic Model; Stochastic Model;
   Adaptation to Climate Change; Forest Management; Process-Based Model
   (PBM); Leaf Ecology
ID ADJACENT SAVANNA ECOSYSTEM; CLONAL STAND; RAIN-FOREST; PHOTOSYNTHETIC
   CAPACITY; CHEMICAL-COMPOSITION; LEAF AGE; EUCALYPTUS; PHENOLOGY; CONGO;
   POPULATIONS
AB The aim is to propose a dynamic model of forest growth and biomass suitable to varied ecosystems with different species, soil types, climate conditions and forest managements. This model is combining different approaches (growth & yield, process-based and biogeochemical cycles) to take into account carbon, water and nutrient cycles and to include several processes such as wood production, transpiration, Iitterfall, litter decomposition or losses of nutrients by drainage. Such a model is necessary to anticipate and adapt forest management under different environmental and management scenarii (global changes).
   Considering the whole forest ecosystem, the seasonality of canopy dynamics and Iitterfall production is involved in key processes: photosynthesis and carbon production, stand transpiration and water cycle, litter decomposition and nutrient cycling. A dynamical probabilistic model for leaves demography has been created. This model is strongly constrained by environmental factors and is able to rank their influences. Model adjustment can highlight relationships between different scales of processes involved, from cellular-scale to stand-scale.
   The aim is to provide: i) a predicting model suitable to a large range of ecosystems, ii) hierarchical analyses of the environmental processes driving canopy dynamics.
C1 [Sainte-Marie, J.; Henrot, A.; Barrandon, M.] Univ Lorraine, Inst Elie Cartan, Vandoeuvre Les Nancy, France.
   [Nouvellon, Y.; Roupsard, O.; Laclau, J. -P.] CIRAD, Eco & Sols, Montpellier, France.
   [Saint-Andre, L.] INRA, Biogeochim Ecosyst Forestier, Champenoux, France.
C3 Universite de Lorraine; Institut Agro; Montpellier SupAgro; CIRAD;
   Institut de Recherche pour le Developpement (IRD); INRAE
RP Sainte-Marie, J (corresponding author), Univ Lorraine, Inst Elie Cartan, Vandoeuvre Les Nancy, France.
EM julien.sainte-marie@univ-lorraine.fr; st-andre@nancy.inra.fr
RI roupsard, olivier/C-1219-2008; Nouvellon, Yann/C-9295-2016; Laclau,
   Jean-Paul/D-8285-2012
OI Nouvellon, Yann/0000-0003-1920-3847; Laclau,
   Jean-Paul/0000-0002-2506-214X
FU Ministere de l'enseignement superieur et de la recherche; Universite de
   Lorraine; Office National des Forets
FX The authors would like to thank: "Ministere de l'enseignement superieur
   et de la recherche", "Universite de Lorraine" and "Office National des
   Forets" for financial support
CR [Anonymous], REV FORESTIERE FRANC
   [Anonymous], 1963, The theory of branching processes
   [Anonymous], 4 WORKSH
   Battaglia M, 1998, TREE PHYSIOL, V18, P521
   CHABOT BF, 1982, ANNU REV ECOL SYST, V13, P229, DOI 10.1146/annurev.es.13.110182.001305
   Delpierre N, 2009, AGR FOREST METEOROL, V149, P938, DOI 10.1016/j.agrformet.2008.11.014
   Fracheboud Y, 2009, PLANT PHYSIOL, V149, P1982, DOI 10.1104/pp.108.133249
   Granier A, 1999, ECOL MODEL, V116, P269, DOI 10.1016/S0304-3800(98)00205-1
   Hikosaka K, 2005, ANN BOT-LONDON, V95, P521, DOI 10.1093/aob/mci050
   Huete AR, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025583
   Kikuzawa K., 2011, ECOLOGICAL RES MONOG
   Kitajima K, 2002, AM J BOT, V89, P1925, DOI 10.3732/ajb.89.12.1925
   Kitajima K, 1997, AM J BOT, V84, P702, DOI 10.2307/2445906
   Kitajima K, 1997, OECOLOGIA, V109, P490, DOI 10.1007/s004420050109
   Laclau JP, 2009, TREE PHYSIOL, V29, P111, DOI 10.1093/treephys/tpn010
   Laclau JP, 2005, FOREST ECOL MANAG, V210, P375, DOI 10.1016/j.foreco.2005.02.028
   Laclau JP, 2000, FOREST ECOL MANAG, V128, P181, DOI 10.1016/S0378-1127(99)00146-2
   Laclau JP, 2003, FOREST ECOL MANAG, V180, P527, DOI 10.1016/S0378-1127(02)00645-X
   Laclau JP, 2003, ANN BOT-LONDON, V91, P879, DOI 10.1093/aob/mcg093
   Laclau JP, 2003, FOREST ECOL MANAG, V176, P105, DOI 10.1016/S0378-1127(02)00280-3
   Liu CJ, 2004, GLOBAL ECOL BIOGEOGR, V13, P105, DOI 10.1111/j.1466-882X.2004.00072.x
   Lopes da Silva Andre Luis, 2009, Biociencias (Porto Alegre), V17, P86
   LOWMAN MD, 1992, J ECOL, V80, P433, DOI 10.2307/2260689
   Nouvellon Y, 2000, AGR FOREST METEOROL, V105, P21, DOI 10.1016/S0168-1923(00)00194-5
   Olofsson P, 1996, J APPL PROBAB, V33, P940, DOI 10.2307/3214975
   Osada N, 2001, J ECOL, V89, P774, DOI 10.1046/j.0022-0477.2001.00590.x
   Pornon A, 2011, FUNCT ECOL, V25, P796, DOI 10.1111/j.1365-2435.2011.01849.x
   Reich PB, 2004, ECOL MONOGR, V74, P3, DOI 10.1890/02-4047
   Saint-André L, 2005, FOREST ECOL MANAG, V205, P199, DOI 10.1016/j.foreco.2004.10.006
   Saint-Andre L., 2008, Site management and productivity in tropical plantation forests: Proceedings of workshops in Piracicaba (Brazil), 22-26 November 2004 and Bogor (Indonesia), 6-9 November 2006, P173
   Vincent G, 2006, ANN BOT-LONDON, V97, P245, DOI 10.1093/aob/mcj023
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   Vitasse Y, 2009, OECOLOGIA, V161, P187, DOI 10.1007/s00442-009-1363-4
   Vitasse Y, 2009, AGR FOREST METEOROL, V149, P735, DOI 10.1016/j.agrformet.2008.10.019
   WRIGHT SJ, 1994, AM NAT, V143, P192, DOI 10.1086/285600
NR 35
TC 2
Z9 3
U1 0
U2 10
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 978-1-4673-0070-4; 978-1-4673-0067-4
PY 2012
BP 324
EP 331
PG 8
WC Agriculture, Multidisciplinary; Plant Sciences; Computer Science,
   Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Plant Sciences; Computer Science
GA BGV23
UT WOS:000324265300051
DA 2025-01-10
ER

PT J
AU Müller, E
   Cooper, EJ
   Alsos, IG
AF Muller, Eike
   Cooper, Elisabeth J.
   Alsos, Inger Greve
TI Germinability of arctic plants is high in perceived optimal conditions
   but low in the field
SO BOTANY
LA English
DT Article
DE arctic; germination; seeds; Svalbard; temperature; tundra
ID DRYAS-OCTOPETALA; CAMPANULA-ROTUNDIFOLIA; VACCINIUM-ULIGINOSUM; ALPINE
   POPULATIONS; SEED PREDATION; BETULA-NANA; NY-ALESUND; REPRODUCTION;
   GERMINATION; GROWTH
AB Sexual reproduction is crucial for plant populations to track and adapt to climate change, but it is uncertain to what degree arctic vascular plants reproduce by seed. Several studies on arctic species show low germination. To re-examine seed germination and evaluate factors limiting sexual reproduction, seeds of 6-22 arctic species were germinated in five different, increasingly more realistic, conditions. Thirteen out of 15 species that were tested in an earlier study in Svalbard, Norway, germinated better in our study. Compared with perceived optimal conditions in a growth chamber, average germination per species was 6%-52% lower in five out of six species germinating at a colder temperature in soil, 36%-64% lower when germinating outdoors in soil, 49%-91% lower when germinating in a moss covered moraine, and 55%-91% lower when germinating in open soil on a moraine. Germination outdoors was below 5% in 10 out of 13 species and not correlated to germination in perceived optimal conditions. The high germination compared with earlier studies suggests that climate warming has already increased seed viability. However, caution should be taken when evaluating species-recruitment potential based on laboratory studies, as germination in the field was limited by species-specific responses to low temperatures, moisture, predation, and safe-site availability.
C1 [Muller, Eike; Alsos, Inger Greve] UNIS, NO-9171 Longyearbyen, Norway.
   [Muller, Eike; Cooper, Elisabeth J.] Univ Tromso, Fac Biosci Fisheries & Econ, Dept Arctic & Marine Biol, NO-9037 Tromso, Norway.
   [Alsos, Inger Greve] Tromso Univ Museum, NO-9037 Tromso, Norway.
C3 University Centre Svalbard (UNIS); UiT The Arctic University of Tromso;
   UiT The Arctic University of Tromso
RP Müller, E (corresponding author), UNIS, POB 156, NO-9171 Longyearbyen, Norway.
EM eikem@unis.no
RI Alsos, Inger/O-8154-2019
OI Alsos, Inger Greve/0000-0002-8610-1085
FU University Centre of Svalbard
FX We thank Karin Daniels Amby for help with seed collection, Marie-Helene
   Jacques and Christopher Ware for help during the germination tests, and
   Nigel Yoccoz for advice on statistics. The project was funded by the
   University Centre of Svalbard.
CR Alsos IG, 2002, ARCT ANTARCT ALP RES, V34, P408, DOI 10.2307/1552198
   Alsos IG, 2003, CAN J BOT, V81, P220, DOI [10.1139/B03-018, 10.1139/b03-018]
   ALSOS IG, 2010, FLORA SVALBARD
   Alsos IG, 2007, SCIENCE, V316, P1606, DOI 10.1126/science.1139178
   [Anonymous], 2007, R BOOK
   [Anonymous], NORSK POLARINSTITUTT
   [Anonymous], 2005, The ecology of seeds
   Arft AM, 1999, ECOL MONOGR, V69, P491, DOI 10.1890/0012-9615(1999)069[0491:ROTPTE]2.0.CO;2
   Baskin CC, 1998, SEEDS, P1, DOI 10.1016/B978-012080260-9/50001-4
   Bauert MR, 1996, ARCTIC ALPINE RES, V28, P190, DOI 10.2307/1551759
   BELL KL, 1980, ARCTIC ALPINE RES, V12, P1, DOI 10.2307/1550585
   BILLINGS WD, 1987, ARCTIC ALPINE RES, V19, P357, DOI 10.2307/1551400
   BILLINGS WD, 1968, BIOL REV, V43, P481, DOI 10.1111/j.1469-185X.1968.tb00968.x
   BLISS L. C., 1958, ARCTIC, V11, P180
   Bliss LC, 1999, CAN J BOT, V77, P623, DOI 10.1139/cjb-77-5-623
   Born E., 2001, ECOLOGY GREENLAND
   Brochmann C., 1999, NORSKE VIDENSKAPS MN, V38, P33
   Brochmann C, 2008, PLANT ECOL DIVERS, V1, P181, DOI 10.1080/17550870802331904
   CHAMBERS JC, 1989, J RANGE MANAGE, V42, P304, DOI 10.2307/3899499
   CHAMBERS JC, 1994, ANNU REV ECOL SYST, V25, P263, DOI 10.1146/annurev.es.25.110194.001403
   Chapin FS, 1980, ARCTIC ECOSYSTEM COA, P140
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Collett David., 2003, TEXTS STAT SCI, V2nd
   Cooper EJ, 2004, J VEG SCI, V15, P115, DOI 10.1111/j.1654-1103.2004.tb02244.x
   Cooper EJ, 2011, PLANT SCI, V180, P157, DOI 10.1016/j.plantsci.2010.09.005
   Coulson SJ, 2007, ZOOTAXA, P41, DOI 10.11646/zootaxa.1448.1.2
   DENSMORE R, 1983, CAN J BOT, V61, P3207, DOI 10.1139/b83-358
   DOLMAN PM, 1995, OECOLOGIA, V102, P511, DOI 10.1007/BF00341364
   Elvebakk A, 2005, PHYTOCOENOLOGIA, V35, P951, DOI 10.1127/0340-269X/2005/0035-0951
   EUROLA S, 1972, Annales Botanici Fennici, V9, P149
   Gabrielsen TM, 1998, MOL ECOL, V7, P1701, DOI 10.1046/j.1365-294x.1998.00503.x
   Gannon, 2007, VALIDITY DEVELOPMENT
   GREEN GH, 1975, BIRD STUDY, V22, P9, DOI 10.1080/00063657509476435
   Hadac E., 1946, STUDIA BOT CECHOSLOV, V7, P127
   Hagen D, 2002, POLAR RES, V21, P37, DOI 10.1111/j.1751-8369.2002.tb00065.x
   HARPER JL, 1966, J ECOL, V54, P151, DOI 10.2307/2257664
   Holmes RJ, 2005, AGR ECOSYST ENVIRON, V105, P23, DOI 10.1016/j.agee.2004.06.005
   Hoye TT, 2007, CURR BIOL, V17, pR449, DOI 10.1016/j.cub.2007.04.047
   KLOKK T, 1987, ARCTIC ALPINE RES, V19, P549, DOI 10.2307/1551424
   MAUN MA, 1994, VEGETATIO, V111, P59
   Milbau A, 2009, ANN BOT-LONDON, V104, P287, DOI 10.1093/aob/mcp117
   Milberg P, 2000, SEED SCI RES, V10, P99, DOI 10.1017/S0960258500000118
   MOONEY HA, 1961, ECOL MONOGR, V31, P1, DOI 10.2307/1950744
   Murray D. F., 1987, DIFFERENTIATION PATT, P239
   Newcombe RG, 1998, STAT MED, V17, P873, DOI 10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
   R Development Core Team, 2008, R 2 7 2 LANG ENV
   Sorensen Thorvald, 1941, MEDDELSER OM GRONLAND, V125, P1
   Soyrinki N., 1939, Annales Botanici Societatis Zoologicae Botanicae Fennicae 'Vanamo', Helsinki, V14, P1
   Speed JDM, 2010, J ECOL, V98, P1002, DOI 10.1111/j.1365-2745.2010.01685.x
   SVOBODA J, 1987, ARCTIC ALPINE RES, V19, P373, DOI 10.2307/1551402
   Totland O, 2002, OECOLOGIA, V133, P168, DOI 10.1007/s00442-002-1028-z
   Totland O, 1999, OECOLOGIA, V120, P242, DOI 10.1007/s004420050854
   Trudgill DL, 2000, NEW PHYTOL, V145, P107, DOI 10.1046/j.1469-8137.2000.00554.x
   Tweddle JC, 2003, J ECOL, V91, P294, DOI 10.1046/j.1365-2745.2003.00760.x
   Vander Wall SB, 2005, ECOLOGY, V86, P801, DOI 10.1890/04-0847
   Wada N, 1999, POLAR RES, V18, P261, DOI 10.1111/j.1751-8369.1999.tb00302.x
   Welker JM, 1997, GLOB CHANGE BIOL, V3, P61, DOI 10.1111/j.1365-2486.1997.gcb143.x
   Welling P, 2000, ANN BOT FENN, V37, P69
   WOOKEY PA, 1995, OECOLOGIA, V102, P478, DOI 10.1007/BF00341360
   ZHANG B, 2010, BINGROUP EVALUATION
NR 60
TC 38
Z9 42
U1 0
U2 58
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 1916-2790
EI 1916-2804
J9 BOTANY
JI Botany
PD MAY
PY 2011
VL 89
IS 5
BP 337
EP 348
DI 10.1139/B11-022
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 782ME
UT WOS:000292013000005
OA Bronze
DA 2025-01-10
ER

PT J
AU Rezaei, EE
   Gaiser, T
   Siebert, S
   Ewert, F
AF Rezaei, E. Eyshi
   Gaiser, T.
   Siebert, S.
   Ewert, F.
TI Adaptation of crop production to climate change by crop substitution
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Maize; Modeling; Pearl millet
ID PEARL-MILLET; LAND-USE; WATER-USE; POTENTIAL IMPACTS; WHEAT; MAIZE;
   TEMPERATURE; VARIABILITY; NITROGEN; PATTERNS
AB Research on the impact of climate change on agricultural production has mainly focused on the effect of climate and its variability on individual crops, while the potential for adapting to climate change through crop substitution has received less attention. This is surprising because the proportions of individual crops in the total crop area have changed considerably over periods of time much shorter than those typically investigated in climate change studies. The flexibility of farmers to adapt to changing socioeconomic and environmental conditions by changing crop type may therefore also represent an alternative option to adapt to climate change. The objective of this case study was to investigate the potential of crop substitution as an adaptation strategy to climate change. We compared biomass yield and water use efficiency (WUE) of maize (Zea mays L) and pearl millet (Pennisetum americanum L.) grown in the semi-arid northeast of Iran for fodder production under present and potential future climatic conditions. Climate change projections for the baseline period 1970-2005 and two future time periods (2011-2030 and 2080-2099) from two emission scenarios (A2 and B1) and four general circulation models were downscaled to daily time steps using the Long Ashton Research Station-Weather Generator (LARS-WG5). Above-ground biomass was simulated for seven research sites with the Decision Support System for Agrotechnology Transfer (DSSAT 4.5) model which was calibrated and tested with independent experimental data from different field experiments in the region. The analysis of observations across all study locations showed an inverse relationship between temperature and biomass yield for both pearl millet and maize. Biomass yield was most sensitive to the duration of the phenological phase from floral initiation to end of leaf growth. For this phase we also found the highest negative correlation between mean temperature and biomass yield, which was more pronounced for pearl millet than for maize. This relationship was well reproduced by the crop model, justifying its use for the assessment. Due to the higher sensitivity of pearl millet to temperature increase, simulations suggest that the maximum benefit of crop substitution for biomass yield and WUE is to be gained for present-day conditions and would decline under future warming. The simulated increase in biomass yield due to substitution of maize by pearl millet was nevertheless larger than the yield decrease from potential climate change. Therefore, substituting maize by pearl millet should be considered as a measure for increasing fodder production in the investigated region. Differences in yields of crops that may substitute for each other because of similar use have been shown for other regions under current and potential future climatic conditions as well, so that we suggest that our findings are of general importance for climate change research. More research is required to quantify the effects for other crop combinations, regions, and interactions with other adaptation measures.
C1 [Rezaei, E. Eyshi] Ferdowsi Univ Mashhad, Fac Agr, Mashhad, Iran.
   [Rezaei, E. Eyshi; Gaiser, T.; Siebert, S.; Ewert, F.] Univ Bonn, Inst Crop Sci & Resource Conservat, D-53115 Bonn, Germany.
C3 Ferdowsi University Mashhad; University of Bonn
RP Rezaei, EE (corresponding author), Univ Bonn, Inst Crop Sci & Resource Conservat, Katzenburgweg 5, D-53115 Bonn, Germany.
EM eeyshire@uni-bonn.de
RI Gaiser, Thomas/AAD-6326-2021; Rezaei, Ehsan/AAB-5250-2020; Ewert,
   Frank/AER-0007-2022; Siebert, Stefan/B-8621-2009
OI Ewert, Frank/0000-0002-4392-8154; Siebert, Stefan/0000-0002-9998-0672;
   Gaiser, Thomas/0000-0002-5820-2364; Eyshi Rezaei,
   Ehsan/0000-0003-2603-8034
CR Aghaalikhani M., 2008, PAJOUHESH SAZANDEGI, V77, P19
   [Anonymous], AGR SCI
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], ENV RES LETT
   [Anonymous], 4307 WORLD BANK
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Asseng S, 2011, GLOBAL CHANGE BIOL, V17, P997, DOI 10.1111/j.1365-2486.2010.02262.x
   Brands S, 2011, CLIM RES, V48, P145, DOI 10.3354/cr00995
   Brisson N, 2002, AGRONOMIE, V22, P69, DOI 10.1051/agro:2001005
   Cassidy ES, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034015
   Donner SD, 2005, GLOBAL CHANGE BIOL, V11, P2251, DOI 10.1111/j.1365-2486.2005.01073.x
   Elsgaard L, 2012, FOOD ADDIT CONTAM A, V29, P1514, DOI 10.1080/19440049.2012.700953
   Ewert F, 2005, AGR ECOSYST ENVIRON, V107, P101, DOI 10.1016/j.agee.2004.12.003
   Ewert F, 2012, NAT CLIM CHANGE, V2, P153, DOI 10.1038/nclimate1426
   Forouzmand M. A., 2005, Pakistan Journal of Nutrition, V4, P435
   Goldani M, 2010, IRANIAN FIELD CROPS, V7, P595
   Gourdji SM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024041
   Guo RP, 2010, AGR WATER MANAGE, V97, P1185, DOI 10.1016/j.agwat.2009.07.006
   HUNT LA, 1993, AGRON J, V85, P1090, DOI 10.2134/agronj1993.00021962008500050025x
   Iglesias A., 1997, Mitigation and Adaptation Strategies for Global Change, V1, P273
   Iran's Agricultural Ministry, 2012, ANN STAT AGR PROD
   Jackson CR, 2011, J HYDROL, V399, P12, DOI 10.1016/j.jhydrol.2010.12.028
   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
   Kamkar B., 2005, IRANIAN J FIELD CROP, V2, P196
   Kapetanaki G., 1997, Mitigation and Adaptation Strategies for Global Change, V1, P251, DOI [10.1023/B:MITI.0000018044.48957.28, DOI 10.1023/B:MITI.0000018044.48957.28]
   Kar G, 2007, AGR WATER MANAGE, V87, P73, DOI 10.1016/j.agwat.2006.06.002
   Khalesro S, 2011, IRANIAN FIELD CROPS, V8, P930
   Lashkari A, 2012, MITIG ADAPT STRAT GL, V17, P1, DOI 10.1007/s11027-011-9305-y
   Levinsky I, 2007, BIODIVERS CONSERV, V16, P3803, DOI 10.1007/s10531-007-9181-7
   Liu SX, 2010, AGR WATER MANAGE, V97, P1195, DOI 10.1016/j.agwat.2010.03.001
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Mall RK, 2004, AGR FOREST METEOROL, V121, P113, DOI 10.1016/S0168-1923(03)00157-6
   McMaster GS, 2008, ANN BOT-LONDON, V102, P561, DOI 10.1093/aob/mcn115
   MITCHELL JFB, 1995, NATURE, V376, P501, DOI 10.1038/376501a0
   MUIR JP, 2001, PROF ANIM SCI, V17, P90
   Nabati J, 2011, IRANIAN CROP SCI, V1, P179
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   ONG CK, 1985, FIELD CROP RES, V11, P141, DOI 10.1016/0378-4290(85)90098-X
   Panahi M, 2004, SOIL WATER SCI, V18, P63
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Pearson CJ, 2008, ENVIRON MODELL SOFTW, V23, P1345, DOI 10.1016/j.envsoft.2008.02.008
   Poshtdar A., 2012, International Journal of Agriculture and Crop Sciences (IJACS), V4, P713
   Prudhomme C, 2010, J HYDROL, V390, P198, DOI 10.1016/j.jhydrol.2010.06.043
   Ragab R, 2002, BIOSYST ENG, V81, P3, DOI 10.1006/bioe.2001.0013
   Rahimzadeh F, 2009, INT J CLIMATOL, V29, P329, DOI 10.1002/joc.1739
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Rostamza M, 2011, COMMUN SOIL SCI PLAN, V42, P2427, DOI 10.1080/00103624.2011.609252
   Rostamza M, 2011, AGR WATER MANAGE, V98, P1607, DOI 10.1016/j.agwat.2011.05.014
   Semenov MA, 1999, CLIMATE RES, V11, P137, DOI 10.3354/cr011137
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
   Semenov MA, 2009, J R SOC INTERFACE, V6, P343, DOI 10.1098/rsif.2008.0285
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   SINGH BR, 1995, FIELD CROP RES, V42, P57, DOI 10.1016/0378-4290(95)00025-L
   SLAFER GA, 1995, PLANT CELL ENVIRON, V18, P671, DOI 10.1111/j.1365-3040.1995.tb00568.x
   Soler CMT, 2008, J AGR SCI-CAMBRIDGE, V146, P445, DOI 10.1017/S0021859607007617
   Suehrcke H, 2000, SOL ENERGY, V68, P417, DOI 10.1016/S0038-092X(00)00004-9
   Tahmasebi R, 2005, AGR SCI RES, V11, P117
   Teixeira EI, 2013, AGR FOREST METEOROL, V170, P206, DOI 10.1016/j.agrformet.2011.09.002
   Tubiello FN, 2000, EUR J AGRON, V13, P179, DOI 10.1016/S1161-0301(00)00073-3
   Veldkamp A, 2001, AGR ECOSYST ENVIRON, V85, P1, DOI 10.1016/S0167-8809(01)00199-2
   Viglizzo EF, 1997, AGR ECOSYST ENVIRON, V66, P61, DOI 10.1016/S0167-8809(97)00079-0
   Yang YH, 2006, HYDROL PROCESS, V20, P2787, DOI 10.1002/hyp.6071
   Zalud Z, 2002, THEOR APPL CLIMATOL, V72, P85, DOI 10.1007/s007040200015
NR 68
TC 22
Z9 25
U1 2
U2 69
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 2015
VL 20
IS 7
BP 1155
EP 1174
DI 10.1007/s11027-013-9528-1
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CR6DA
UT WOS:000361432300008
DA 2025-01-10
ER

PT J
AU Tuerkay, Z
   Tezer, A
   Karrasch, L
AF Tuerkay, Zeynep
   Tezer, Azime
   Karrasch, Leena
TI Contribution of integrated ecosystem services to urban planning tools:
   Can it be more functional for the sustainability of ecosystems?
SO ONE ECOSYSTEM
LA English
DT Article
DE Integrated ecosystem services (IESs); urban planning;
   land-use/land-cover (LULC); spatial decision-making; Istanbul
ID DECISION-MAKING; KNOWLEDGE USE; LANDSCAPES; LESSONS
AB The biodiversity of ecosystems and their services (ecosystem services - ESs) are declining worldwide due to decisions regarding land-use/land-cover (LULC). As a result, global risks related to climate change are exacerbating as these areas are needed to adapt to climate change and mitigate these risks. The integration of ESs into spatial decision-making is seen as an opportunity to ensure their sustainability. Despite the scientific and practical studies on this issue, it is stated that more studies are needed to clarify how ESs will be used in spatial decision-making. The proposed approach as Integrated ESs (IESs), which builds on the LULC assessment, has the potential to develop ESs-based spatial decisionmaking by enabling comprehensive approaches to be made. This paper aims to evaluate the results of IESs assessment incorporated with scenario analysis in the context of the integration of ESs into spatial decision-making, to discuss the contributions that this integration can make to the sustainability of ESs in light of these results and to provide straightforward suggestions on how ESs can be linked to the spatial planning tools in Istanbul. The findings of the research prove that ESs in many contexts are relevant to various stages of spatial planning and a spatial decision-making approach that incorporates ES knowledge can contribute to ensuring the sustainability of ESs and achieving sustainable development.
C1 [Tuerkay, Zeynep; Tezer, Azime; Karrasch, Leena] Istanbul Tech Univ, Fac Architecture, Urban & Reg Planning Dept, Istanbul, Turkiye.
C3 Istanbul Technical University
RP Tuerkay, Z (corresponding author), Istanbul Tech Univ, Fac Architecture, Urban & Reg Planning Dept, Istanbul, Turkiye.
EM senkesenz@itu.edu.tr
OI TURKAY, ZEYNEP/0000-0003-2583-5189
FU Developing an Ecological Planning Based Participatory Planning Model for
   Spatial Risk Mitigation" titled research project of the Scientific and
   Technological Research Council of Turkiye (TUBITAK) [115K475]; National
   PhD Scholarship Program in the Priority Fields in Science and Technology
   of TUBITAK and the Council of Higher Education 100/2000 PhD Scholarship
   Program [2211/C]
FX This manuscript has been developed as part of the corresponding author's
   PhD research which was supported under 115K475- numbered and "Developing
   an Ecological Planning Based Participatory Planning Model for Spatial
   Risk Mitigation" titled research project of the Scientific and
   Technological Research Council of Turkiye (TUBITAK) . Additionally, the
   corresponding author received funding of 2211/C National PhD Scholarship
   Program in the Priority Fields in Science and Technology of TUBITAK and
   the Council of Higher Education 100/2000 PhD Scholarship Program. We
   also would like to thank the editor and the reviewers for their
   constructive comments and suggestions, which improved our manuscript.
CR Baer WC, 1997, J AM PLANN ASSOC, V63, P329, DOI 10.1080/01944369708975926
   Basak E, 2022, SCI TOTAL ENVIRON, V844, DOI 10.1016/j.scitotenv.2022.157068
   Burkhard B., 2014, Landscape Online
   Campagne CS., 2018, One Ecosystem, DOI [10.3897/oneeco.3.e24134, DOI 10.3897/ONEECO.3.E24134]
   Cowell R, 2014, ENVIRON PLANN C, V32, P263, DOI 10.1068/c12289j
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   European Environment Agency, 2020, CORINE Land Cover 2018 (vector), Europe, 6- yearly-version 202020u1, DOI [10.2909/71c95a07-e296-44fc-b22b-415f42acfdf0, DOI 10.2909/71C95A07-E296-44FC-B22B-415F42ACFDF0]
   European Environment Agency, 2020, CORINE Land Cover 1990 (vector), Europe, 6- yearly-version 202020u1, DOI [10.2909/5c1f2-03-fcba-47b1-afeb-bc05a47bada0, DOI 10.2909/5C1F2-03-FCBA-47B1-AFEB-BC05A47BADA0]
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   General Directorate of Forestry, 2017, Ekosistem Tabanli Fonksiyonel Orman Amenajman Planlarinin Duzenlenmesine Ait Usul ve Esaslar Principles and Procedures for the Preparation of Ecosystem-Based Functional Forest Management Plans
   Gray K, 2022, EUR SPAT RES POLICY, V29, P53, DOI 10.18778/1231-1952.29.1.03
   Gret-Regamey A, 2017, LANDSCAPE URBAN PLAN, V165, P206, DOI 10.1016/j.landurbplan.2016.05.003
   Grunewald K, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101273
   Gulersoy N. Z., 2014, Istanbul'un Gelecegini Etkileyecek Uc Proje (3. Kopru-3. Havalimani-Kanal Istanbul)-TEMA Vakfi Uzman Gorusleri
   Guneralp Burak, 2013, P291
   Harmácková ZV, 2016, ADV NAT TECH HAZ RES, V42, P99, DOI 10.1007/978-3-319-43633-3_5
   Hauck J, 2013, GAIA, V22, P232, DOI 10.14512/gaia.22.4.6
   IJlgen H, 2020, Forest and Biodiversity
   IPBES, 2018, IPBES ASS REP LAND D, DOI [10.5281/zenodo.3237393, DOI 10.5281/ZENODO.3237393]
   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
   Istanbul Development Agency, 2022, Istanbul Regional Plan 2024-2028
   Istanbul Development Agency, About us
   Istanbul Development Agency, 2015, TR10/14/DFD/0039
   Istanbul Metropolitan Municipality, 2009, Plan Report
   Jacobs S, 2015, ECOL MODEL, V295, P21, DOI 10.1016/j.ecolmodel.2014.08.024
   Longo A, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020483
   Malinga R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05494-180410
   McKenzie E, 2014, ENVIRON PLANN C, V32, P320, DOI 10.1068/c12292j
   Mentese EY, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.614752
   Mentese EY, 2018, Journal of Planning, DOI [10.14744/planlama.2018.65002, DOI 10.14744/PLANLAMA.2018.65002]
   Ministry of Agriculture and Forestry, 2019, Buyukgekmece Dam Lake Watershed Protection Plan, DOI [12.2022/B%C3%BCy%C3%BCk%C3%A7ekmece%20Baraj%20G%C3%B6l%C3%BC%20%C3%96zel%20H%C3%BCk%C3%BCmleri.pdf, DOI 12.2022/B%C3%BCY%C3%BCK%C3%A7EKMECEBARAJG%C3%B6L%C3%BC%C3%96ZELH%C3%BCK%C3%BCMLERI.PDF]
   Ministry of Agriculture and Forestry, Melen Dam Lake Watershed Special Provisions, DOI [12.2022/Melen%20Baraj%C4%B1%20Havzas%C4%B1%20%C3%96zel%20H%C3%BCk%C3%BCmleri.pdf, DOI 12.2022/MELENBARAJ%C4%B1HAVZAS%C4%B1%C3%96ZELH%C3%BCK%C3%BCMLERI.PDF]
   Ministry of Environment and Urbanization, 2021, Preparation of Turkey Spatial Strategy Plan Phase III 9.1. Draft Turkey Spatial Strategy Plan Strategic Framework Assessment Report
   Ministry of Environment Urbanization and Climate Change, 2020, Istanbul Province European Side Reserve Building Area 1/100.000 Scale Environmental Plan Revision
   Onur AC, 2015, HABITAT INT, V47, P267, DOI 10.1016/j.habitatint.2015.01.008
   Ozhatay N., 2005, Turkiye'nin 122 Onemli bitki alani
   Palomo I, 2011, ECOL SOC, V16
   Plieninger T, 2013, ECOL SOC, V18, DOI 10.5751/ES-05802-180339
   Portman ME, 2013, APPL GEOGR, V45, P185, DOI 10.1016/j.apgeog.2013.09.011
   Qiu LR, 2022, LAND-BASEL, V11, DOI 10.3390/land11040545
   Sharp R, 2020, InVEST 3.9.0.post0+ug.gbbfa26d.d20201215 User's Guide
   Sohel MSI, 2015, ECOSYST SERV, V12, P128, DOI 10.1016/j.ecoser.2014.11.015
   Sun H, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109236
   Terzi F, 2020, J ENVIRON PLANN MAN, V63, P433, DOI 10.1080/09640568.2019.1591355
   Tezer A, 2020, ENVIRON DEV SUSTAIN, V22, P2431, DOI 10.1007/s10668-018-00300-5
   UN-United Nations, 2019, Message on the International Day of Biological Diversity
   Wang LJ, 2022, ECOSYST SERV, V58, DOI 10.1016/j.ecoser.2022.101479
   Wei F, 2023, ENVIRON SCI POLICY, V139, P209, DOI 10.1016/j.envsci.2022.11.003
NR 48
TC 0
Z9 0
U1 4
U2 4
PU PENSOFT PUBLISHERS
PI SOFIA
PA 12 PROF GEORGI ZLATARSKI ST, SOFIA, 1700, BULGARIA
EI 2367-8194
J9 ONE ECOSYSTEM
JI One Ecosyst.
PD MAY 23
PY 2024
VL 9
AR e121553
DI 10.3897/oneeco.9.e121553
PG 25
WC Ecology; Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA SV8N4
UT WOS:001237317100001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Zhang, R
   Wang, YF
   Lyu, J
   Sun, ZX
AF Zhang, Rui
   Wang, Yanfeng
   Lyu, Jie
   Sun, Zhanxiang
TI Uncovering the Hidden Risks: A Bibliometric Investigation of Farmers'
   Vulnerability to Climate Change
SO AGRICULTURE-BASEL
LA English
DT Article
DE climate change; risk adaptation; theme evolution analysis; Bibliometrix;
   Citespace
ID DROUGHT TOLERANT MAIZE; SUB-SAHARAN AFRICA; ADAPTATION STRATEGIES;
   SOIL-TEMPERATURE; CHANGE BELIEFS; CHANGE IMPACTS; VARIABILITY;
   PERCEPTIONS; DETERMINANTS; PERSPECTIVES
AB Climate change is having a significant impact on farmers and agriculture. Rising temperatures and extreme weather events, such as droughts and floods, are causing crop failures and reducing yields. This study evaluated existing publications from 2006 to 2022, using the Web of Science database, Citespace, and the Bibliometrix package in R language for a systematic analysis. A total of 426 publications were identified, written by 1449 authors from 56 countries. The results showed that China has the highest share of publications (16.4%), followed by the United States (14.3%) and Australia (6.8%), with China and Pakistan collaborating most frequently. The keyword timeline analysis from 2006 to 2022 identified 11 clusters of research topics related to farmers' climate change risk (CCRF). Cluster #1, "water conservation measures," had the longest duration, highlighting its significance. Key areas of CCRF research include the vulnerability of land-lost farmers, farmers' use of meteorological information, sources of risk, barriers to implementing conservation agriculture, farmers' attitudes towards heavy metal pollution, and the use of protection motivation theory in agricultural adaptation. In conclusion, climate change poses significant threats to farmers, impacting crop yields, soil fertility, and water availability. Farmers adopt adaptation strategies, but effectiveness varies due to resource limitations and policy gaps. The research on farmer adaptation to climate change is growing, emphasizing the need for supportive policies, resources, and knowledge-sharing to achieve sustainable agriculture and food security.
C1 [Zhang, Rui; Wang, Yanfeng; Lyu, Jie] Shenyang Agr Univ, Coll Econ & Management, Shenyang 110866, Peoples R China.
   [Sun, Zhanxiang] Liaoning Acad Agr Sci, Tillage & Cultivat Res Inst, Shenyang 110161, Peoples R China.
C3 Shenyang Agricultural University; Liaoning Academy of Agricultural
   Sciences
RP Lyu, J (corresponding author), Shenyang Agr Univ, Coll Econ & Management, Shenyang 110866, Peoples R China.; Sun, ZX (corresponding author), Liaoning Acad Agr Sci, Tillage & Cultivat Res Inst, Shenyang 110161, Peoples R China.
EM 2019200175@stu.syau.edu.cn; wangyanfeng@stu.syau.edu.cn;
   jieluesy@syau.edu.cn; sunzx67@163.com
RI Lyu, Jie/AAP-4077-2020; yang, yang/JNT-0397-2023
FU National Key Research and Development Program of China [2016YFD0300210]
FX This research was funded by the National Key Research and Development
   Program of China, grant number 2016YFD0300210.
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Adaawen S, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050594
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Araro K, 2020, EARTH SYST ENVIRON, V4, P15, DOI 10.1007/s41748-019-00134-9
   Arbuckle JG Jr, 2014, J SOIL WATER CONSERV, V69, P505, DOI 10.2489/jswc.69.6.505
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Arunrat N, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.150741
   Bagagnan AR, 2019, CLIMATE, V7, DOI 10.3390/cli7010013
   Barbier B, 2009, ENVIRON MANAGE, V43, P790, DOI 10.1007/s00267-008-9237-9
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Brugnach M, 2008, ECOL SOC, V13
   Bubeck P, 2019, CLIMATIC CHANGE, V155, P19, DOI 10.1007/s10584-019-02434-5
   Cao TZ, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126844
   Chen YX, 2022, CHEMOSPHERE, V297, DOI 10.1016/j.chemosphere.2022.133932
   Cobo MJ, 2011, J INFORMETR, V5, P146, DOI 10.1016/j.joi.2010.10.002
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Corwin DL, 2021, EUR J SOIL SCI, V72, P842, DOI 10.1111/ejss.13010
   Datta P., 2022, Environmental Challenges, V8, P100543, DOI [DOI 10.1016/J.ENVC.2022.100543, 10.1016/j.envc.2022.100543]
   Dwarakish GS, 2009, OCEAN COAST MANAGE, V52, P467, DOI 10.1016/j.ocecoaman.2009.07.007
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Fenge J, 2021, J INF SCI, V47, P770, DOI 10.1177/0165551520930907
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fisher M, 2015, CLIMATIC CHANGE, V133, P283, DOI 10.1007/s10584-015-1459-2
   de Jalón SG, 2015, REG ENVIRON CHANGE, V15, P851, DOI 10.1007/s10113-014-0676-y
   Ghanian M, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104553
   Godde CM, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2020.100488
   Gupta R, 2017, CLIMATIC CHANGE, V140, P593, DOI 10.1007/s10584-016-1878-8
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hao Z, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107358
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   How V, 2023, INT J ENVIRON HEAL R, V33, P413, DOI 10.1080/09603123.2022.2033706
   Kalyan Mandi Kalyan Mandi, 2019, Agriculture Update, V14, P334
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Khan NA, 2021, ENVIRON SCI POLLUT R, V28, P4229, DOI 10.1007/s11356-020-10758-4
   Kiatkitroj K, 2022, IND HEALTH, V60, P447, DOI 10.2486/indhealth.2021-0161
   Knoepp JD, 2002, BIOL FERT SOILS, V36, P177, DOI 10.1007/s00374-002-0536-7
   Kumar S S, 2022, INT J ENV SCI, V7, P70
   Kumar Sanjiv, 2016, Indian J Community Med, V41, P1, DOI 10.4103/0970-0218.170955
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Leydesdorff L, 2004, P ASIST ANNU, V41, P488, DOI 10.1002/meet.1450410157
   Luginbuhl R. C., 2008, Morbidity and Mortality Weekly Report, V57, P649
   Maracchi G, 2005, CLIMATIC CHANGE, V70, P117, DOI 10.1007/s10584-005-5939-7
   Mary B, 1996, PLANT SOIL, V181, P71, DOI 10.1007/BF00011294
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Moore FC, 2015, P NATL ACAD SCI USA, V112, P2670, DOI 10.1073/pnas.1409606112
   Mourao PR, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120413
   Mulyasari Gita, 2023, ScientificWorldJournal, V2023, P8770267, DOI 10.1155/2023/8770267
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   Newton AC, 2011, EUPHYTICA, V179, P3, DOI 10.1007/s10681-011-0359-4
   Orlov A, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF002909
   Parks M, 2022, AGR HUM VALUES, V39, P1407, DOI 10.1007/s10460-022-10331-4
   Qiao L, 2022, NAT CLIM CHANGE, V12, P574, DOI 10.1038/s41558-022-01376-8
   Ranjbari M, 2021, J CLEAN PROD, V314, DOI 10.1016/j.jclepro.2021.128009
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   ROSENBERG NJ, 1992, CLIMATIC CHANGE, V21, P385, DOI 10.1007/BF00141378
   Rosenzweig C., 2001, CLIMATE CHANGE EXTRE
   Sedebo DA, 2021, AGRON J, V113, P4627, DOI 10.1002/agj2.20900
   Shaffril HAM, 2017, MAR POLICY, V81, P256, DOI 10.1016/j.marpol.2017.03.031
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Sott MK, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21237889
   Srivastav AL, 2021, ENVIRON SCI POLLUT R, V28, P41576, DOI 10.1007/s11356-021-14332-4
   Stone R. C., 2006, Meteorological Applications, V13, P7, DOI 10.1017/S1350482706002519
   Tambo JA, 2012, MITIG ADAPT STRAT GL, V17, P277, DOI 10.1007/s11027-011-9325-7
   Nguyen TPL, 2019, J RURAL STUD, V67, P46, DOI 10.1016/j.jrurstud.2019.02.005
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Titus J., 1998, Maryland Land Review, V27, P1279
   Ubisi N.R., 2017, Change Adapt. Socio-Ecol. Syst, V3, P27, DOI [10.1515/cass-2017-0003, DOI 10.1515/CASS-2017-0003]
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Van Huis A, 1997, INT J PEST MANAGE, V43, P313, DOI 10.1080/096708797228636
   Visser A, 2012, J CONTAM HYDROL, V127, P47, DOI 10.1016/j.jconhyd.2011.04.007
   Wei SC, 2014, SOIL TILL RES, V144, P119, DOI 10.1016/j.still.2014.07.012
   WILLIAMS JR, 1989, T ASAE, V32, P497
   Xia Z., 2023, Nat. Portf, V1, P11, DOI [10.21203/rs.3.rs-3130454/v1, DOI 10.21203/RS.3.RS-3130454/V1]
   Xia ZQ, 2022, ENVIRON RES COMMUN, V4, DOI 10.1088/2515-7620/ac9bd9
   Ye JQ, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0259207
   Zobeidi T, 2022, AGR WATER MANAGE, V264, DOI 10.1016/j.agwat.2022.107528
NR 79
TC 2
Z9 2
U1 5
U2 29
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 2023
VL 13
IS 9
AR 1799
DI 10.3390/agriculture13091799
PG 17
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA S6TM6
UT WOS:001072473000001
OA gold
DA 2025-01-10
ER

PT J
AU Winkel, G
   Lovric, M
   Muys, B
   Katila, P
   Lundhede, T
   Pecurul, M
   Pettenella, D
   Pipart, N
   Plieninger, T
   Prokofieva, I
   Parra, C
   Pülzl, H
   Roitsch, D
   Roux, JL
   Thorsen, BJ
   Tyrväinen, L
   Torralba, M
   Vacik, H
   Weiss, G
   Wunder, S
AF Winkel, Georg
   Lovric, Marko
   Muys, Bart
   Katila, Pia
   Lundhede, Thomas
   Pecurul, Mireia
   Pettenella, Davide
   Pipart, Nathalie
   Plieninger, Tobias
   Prokofieva, Irina
   Parra, Constanza
   Pulzl, Helga
   Roitsch, Dennis
   Roux, Jeanne-Lazya
   Thorsen, Bo Jellesmark
   Tyrvainen, Liisa
   Torralba, Mario
   Vacik, Harald
   Weiss, Gerhard
   Wunder, Sven
TI Governing Europe's forests for multiple ecosystem services:
   Opportunities, challenges, and policy options
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Forest ecosystem services; EU forest policy; PES; Policy integration
ID CLIMATE-CHANGE; ENVIRONMENTAL SERVICES; LANDSCAPE APPROACH; STATUS-QUO;
   CONSERVATION; MANAGEMENT; PAYMENTS; BIODIVERSITY; PERCEPTIONS;
   WILLINGNESS
AB Europe's forest provide multiple ecosystem services for societies, ranging from provisioning (e.g. wood) and regulating (e.g. climate mitigation and biodiversity) to cultural (e.g. recreation) services. In this paper, we assess the state and prospects of forest ecosystem services provision in Europe, introducing new data from the European collaborative research projects SINCERE, NOBEL and CLEARING HOUSE, and combining it with findings from the literature. We identify six challenges (1 an insufficient alignment of FES supply and demand, 2 lacking policy integration, 3 ambiguous and conflicting regulatory frameworks, 4 a lack of precise information on FES demand and provision, and innovations to align both, 5 an increasing pressure to adapt to climate change, and 6 a striking diversity constraining European level policy solutions) and three opportunities (1 increasingly heterogenous forest owner objectives potentially matching pluralistic societal demands, 2 diversifying forest enterprises levering innovations in regulating and cultural ecosystem services provision, and 3 the potential of forests to mitigate climate change). Subsequently, we introduce four distinct but complimentary policy pathways for European forest policy to better align forest ecosystem services provision and demand: 1 Better monitoring of FES supply and demand, 2 Enhanced policy integration, 3 Payments for ecosystem services, and 4 Bottom-up participation and learning among ecosystem services innovators. We conclude by emphasizing the momentum that the EU Green Deal unfolds for a future European forest policy to incentivise the provision of multiple forest ecosystem services.
C1 [Winkel, Georg; Roitsch, Dennis; Roux, Jeanne-Lazya] Wageningen Univ, Forest & Nat Conservat Policy Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Lovric, Marko; Pulzl, Helga] European Forest Inst, Yliopistokatu 6B, Joensuu 80100, Finland.
   [Muys, Bart; Pipart, Nathalie; Parra, Constanza] Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200 E,Box 2411, B-3001 Leuven, Belgium.
   [Katila, Pia; Tyrvainen, Liisa] Nat Resources Inst Finland, Latokartanonkaari 9, Helsinki 00790, Finland.
   [Lundhede, Thomas; Thorsen, Bo Jellesmark] Univ Copenhagen, Dept Food & Resource Econ, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
   [Pulzl, Helga; Weiss, Gerhard] Univ Nat Resources & Life Sci Vienna, Dept Econ & Social Sci, Inst Forest Environm & Nat Resource Policy, European Forest Inst Forest Policy Res Network, Feistmantelstr 4, A-1180 Vienna, Austria.
   [Roitsch, Dennis; Roux, Jeanne-Lazya] European Forest Inst, Pl Vereinten Nationen 7, D-53113 Bonn, Germany.
   [Pecurul, Mireia; Prokofieva, Irina] Forest Sci & Technol Ctr Catalonia, Carretera St Llorenc,Km 2, Solsona 25280, Spain.
   [Pettenella, Davide] Univ Padua, Dept Land Environm Agr & Forestry TESAF, Viale Univ 16, I-35020 Legnaro, Italy.
   [Plieninger, Tobias; Torralba, Mario] Univ Kassel, Fac Organ Agr Sci, Steinstr 19, D-37213 Witzenhausen, Germany.
   [Plieninger, Tobias; Torralba, Mario] Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany.
   [Wunder, Sven] European Forest Inst, Mediterranean Facil, St Antoni Maria Claret 167, Barcelona 08025, Spain.
   [Vacik, Harald] Univ Nat Resources & Life Sci Vienna, Inst Silviculture, Dept Forest & Soil Sci, Peter Jordanstr 82, A-1190 Vienna, Austria.
C3 Wageningen University & Research; KU Leuven; Natural Resources Institute
   Finland (Luke); University of Copenhagen; BOKU University; University of
   Padua; Universitat Kassel; University of Gottingen; BOKU University
RP Winkel, G (corresponding author), Wageningen Univ, Forest & Nat Conservat Policy Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM georg.winkel@wur.nl; marko.lovric@efi.int; bart.muys@kuleuven.be;
   pia.katila@luke.fi; thlu@ifro.ku.dk; mireia.pecurul@ctfc.cat;
   davide.pettenella@unipd.it; plieninger@uni-goettingen.de;
   irina.prokofieva@ctfc.cat; constanza.parra@kuleuven.be;
   helga.puelzl@efi.int; dennis.roitsch@efi.int; jeanne-lazya.roux@efi.int;
   bjt@ifro.ku.dk; liisa.tyrvainen@luke.fi; mario.torralba@uni-kassel.de;
   harald.vacik@boku.ac.at; gerhard.weiss@boku.ac.at; Sven.wunder@efi.int
RI Parra, Carolina/J-2993-2017; Torralba, Mario/AFU-9676-2022; Vacik,
   Harald/B-1185-2009; Wunder, Sven/ABE-7773-2020; Puelzl,
   Helga/AAH-3500-2019; Katila, Pia/HCI-3316-2022; Roux,
   Jeanne/IAM-8353-2023; Plieninger, Tobias/E-3861-2010; Muys,
   Bart/ABN-3906-2022; Prokofieva, Irina/G-7665-2014; Thorsen, Bo
   Jellesmark/K-8770-2014; Pettenella, Davide/B-6874-2012
OI Thorsen, Bo Jellesmark/0000-0002-3305-8343; Roux,
   Jeanne-Lazya/0000-0003-2184-5515; Torralba, Mario/0000-0001-9205-787X;
   Roitsch, Dennis/0000-0002-3803-6725; Puelzl, Helga/0000-0001-7920-5903;
   Pettenella, Davide/0000-0002-7403-9560
FU European Union [773702, 773324]; project NOBEL (Novel business models to
   sustainably supply forest ecosystem services) under the ERA-NET Co-fund
   ForestValue; European Horizon 2020 Research and Innovation programme
   [821242]; H2020 Societal Challenges Programme [773702] Funding Source:
   H2020 Societal Challenges Programme
FX The research leading to these results has received funding from the
   European Union Horizon 2020 under Grant Agreement number 773702, SINCERE
   project (Spurring INnovations for forest eCosystem sERvices in Europe).
   The research has also received funding from the project NOBEL (Novel
   business models to sustainably supply forest ecosystem services),
   supported under the umbrella of ERA-NET Co-fund ForestValue. ForestValue
   has received funding from the European Union's Horizon 2020 research and
   innovation programme under Grant YAgreement number 773324. The
   contributions by the CLEARINGHOUSE project were funded by the European
   Horizon 2020 Research and Innovation programme under the Grant Agreement
   number 821242.
CR Advisory Group on Forestry and Cork, 2003, INF DIR 2003 87 EC E
   Aggestam F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12103999
   Aggestam F, 2018, FORESTS, V9, DOI 10.3390/f9030125
   Anderson J., 2010, Ecosystem service valuation
   Angelstam P, 2019, FOREST POLICY ECON, V101, P96, DOI 10.1016/j.forpol.2019.01.005
   Bakhtiari F, 2018, ECOL ECON, V147, P11, DOI 10.1016/j.ecolecon.2017.12.019
   Barlagne C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084359
   Baumeister CF, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126561
   Becher C., 2021, Green Letters, V25, P403, DOI DOI 10.1080/14688417.2022.2029717
   Bingham LR, 2021, FORESTS, V12, DOI 10.3390/f12050578
   Boon TE, 2004, SCAND J FOREST RES, V19, P45, DOI 10.1080/14004080410034056
   Brunet-Navarro P, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.127026
   Bryce R, 2016, ECOSYST SERV, V21, P258, DOI 10.1016/j.ecoser.2016.07.015
   Buchy M., 2000, Forest Policy and Economics, V1, P15, DOI 10.1016/S1389-9341(00)00006-X
   Buttoud G, 2011, FOREST POLICY ECON, V13, P124, DOI 10.1016/j.forpol.2010.05.006
   Conrad CC, 2011, ENVIRON MONIT ASSESS, V176, P273, DOI 10.1007/s10661-010-1582-5
   Dallimer M, 2015, BIOSCIENCE, V65, P33, DOI 10.1093/biosci/biu187
   de Koning J, 2014, ENVIRON SCI POLICY, V39, P129, DOI 10.1016/j.envsci.2013.08.010
   de Vente J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08053-210224
   EC, 2011, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: Youth Opportunities Initiative
   Edwards P, 2013, FOREST POLICY ECON, V33, P87, DOI 10.1016/j.forpol.2012.06.002
   Engel S, 2008, ECOL ECON, V65, P663, DOI 10.1016/j.ecolecon.2008.03.011
   European Commission, 2019, NAT CAP ACC OV PROGR
   European Commission, 2021, Report from the Commision to the European Parliament, the Council, the European Economic and Social Cmmitee and the Committee of the Regions. Bruxels
   European Commission, 2020, COM(2020) 380 final
   European Commission, 2020, BEST PRACT CIT SCI E
   Ezzine-de-Blas D, 2019, ECOL ECON, V156, P434, DOI 10.1016/j.ecolecon.2018.07.026
   Fraccaroli C., 2021, Green 4 c-Forest-based care Market Outlook
   Geitzenauer M, 2017, FOREST POLICY ECON, V82, P3, DOI 10.1016/j.forpol.2017.03.008
   Gómez-Baggethun E, 2015, ECOL ECON, V117, P217, DOI 10.1016/j.ecolecon.2015.03.016
   Haukeland J. V., 2021, Nordic perspectives on nature-based tourism: From place-based resources to value-added experiences, P16, DOI [10.4337/9781789904031, DOI 10.4337/9781789904031]
   Hernandez-Morcillo M., 2022, SUSTAIN SCI, P1
   Hetemaki L., 2017, Leading the Way to a European Circular Bioeconomy Strategy, V5, DOI [DOI 10.36333/FS05, 10.36333/fs05]
   Huber P, 2019, FOREST POLICY ECON, V103, P103, DOI 10.1016/j.forpol.2017.07.003
   Hurmekoski E, 2019, FOREST POLICY ECON, V102, P86, DOI 10.1016/j.forpol.2019.03.008
   Idrissou L, 2013, FOREST POLICY ECON, V27, P65, DOI 10.1016/j.forpol.2012.11.005
   Jacobsen JB, 2009, ENVIRON RESOUR ECON, V43, P137, DOI 10.1007/s10640-008-9226-8
   Janssens IA, 2003, SCIENCE, V300, P1538, DOI 10.1126/science.1083592
   Knoke T, 2021, CURR FOR REP, V7, P38, DOI 10.1007/s40725-021-00138-7
   Kraxner F., 2017, SUSTAINABLE EUROPEAN, P53
   Larjavaara M, 2018, NAT CLIM CHANGE, V8, P38, DOI 10.1038/s41558-017-0015-7
   Lawrence A, 2020, FOREST POLICY ECON, V118, DOI 10.1016/j.forpol.2020.102221
   Lazdinis M, 2019, LANDSCAPE ECOL, V34, P1737, DOI 10.1007/s10980-019-00864-1
   Levers C, 2014, FOREST ECOL MANAG, V315, P160, DOI 10.1016/j.foreco.2013.12.030
   Lidestav G., 2019, ECETIMSP43 UN, P43
   Lidestav G., 2017, GLOBALISATION CHANGE, P261
   Lindner M., 2017, SUSTAINABLE EUROPEAN, V8, P77
   Linser S, 2018, FORESTS, V9, DOI 10.3390/f9090578
   Loft L, 2015, ECOSYST SERV, V16, P150, DOI 10.1016/j.ecoser.2015.11.002
   Lovric Marko, 2020, Forest Policy and Economics, V116, DOI 10.1016/j.forpol.2020.102175
   Luck GW, 2009, BIOSCIENCE, V59, P223, DOI 10.1525/bio.2009.59.3.7
   Ludvig A, 2018, FOREST POLICY ECON, V95, P18, DOI 10.1016/j.forpol.2018.07.004
   Lundhede T., 2022, 773702 EUR COMM
   Maier C, 2017, FOREST POLICY ECON, V82, P14, DOI 10.1016/j.forpol.2016.12.015
   Maier C, 2014, LAND USE POLICY, V39, P166, DOI 10.1016/j.landusepol.2014.02.018
   Mann C, 2022, ENVIRON SCI POLICY, V132, P282, DOI 10.1016/j.envsci.2022.02.032
   Mann C, 2021, ECOSYST SERV, V52, DOI 10.1016/j.ecoser.2021.101384
   Mann C, 2018, LANDSCAPE URBAN PLAN, V177, P75, DOI 10.1016/j.landurbplan.2018.04.017
   Mäntymaa E, 2021, LAND USE POLICY, V107, DOI 10.1016/j.landusepol.2019.104095
   Messier C, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12829
   Meyer MA, 2017, ECOL SOC, V22, DOI [10.5751/ES-09372-220306, 10.5751/es-09372-220306]
   Muys B., 2022, Science to Policy, V13
   Nabuurs GJ, 2013, NAT CLIM CHANGE, V3, P792, DOI [10.1038/nclimate1853, 10.1038/NCLIMATE1853]
   Navare K, 2021, RESOUR CONSERV RECY, V170, DOI 10.1016/j.resconrec.2021.105563
   Nelson G.L., 2022, COMPREHENSIVE SET IN
   Nichiforel L, 2018, LAND USE POLICY, V76, P535, DOI 10.1016/j.landusepol.2018.02.034
   Nikinmaa L, 2020, CURR FOR REP, V6, P61, DOI 10.1007/s40725-020-00110-x
   Nitoslawski SA, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002123
   Onida M., 2020, ELNI REV, P22, DOI [10.46850/elni.2020.004, DOI 10.46850/ELNI.2020.004]
   Orsi F, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104840
   Pagiola S, 2002, SELLING FOREST ENVIRONMENTAL SERVICES, P261
   Pettenella D., 2020, Non-Wood Forest Products in Europe, P125, DOI 10.36333/k2a05
   Plieninger T, 2020, SUSTAIN SCI, V15, P1255, DOI 10.1007/s11625-020-00836-4
   Primmer E, 2021, ECOSYST SERV, V47, DOI 10.1016/j.ecoser.2020.101225
   Primmer E, 2013, SOC NATUR RESOUR, V26, P1137, DOI 10.1080/08941920.2013.820814
   Pülzl H, 2018, FORESTS, V9, DOI 10.3390/f9110719
   Pulzl H., 2013, European forest governance: issues at stake and the way forward. What science can tell us 2
   Pulzl H., 2021, REIMAGINING NATURE C, DOI [10.2139/ssrn.3972031, DOI 10.2139/SSRN.3972031]
   Pulzl H., 2013, EUROPEAN FOREST GOVE, V2
   Rametsteiner E, 2006, FOREST POLICY ECON, V8, P691, DOI 10.1016/j.forpol.2005.06.009
   Ranacher L, 2017, FOREST POLICY ECON, V78, P180, DOI 10.1016/j.forpol.2017.01.016
   Ranacher L., 2020, Public Perceptions Of Forestry and the Forest-Based Bioeconomy in the European Union (Knowledge to Action) Knowledge to Action, DOI [10.36333/k2a03, DOI 10.36333/K2A03]
   Roitsch D., 2022, DELIVERABLE 1 3 SOC
   Roux J.-L., 2020, 773702 EUR COMM
   Roux J.L., 2022, ECOL SOC
   Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Sheppard JP, 2020, CURR FOR REP, V6, P26, DOI 10.1007/s40725-019-00107-1
   Sotirov M, 2021, AMBIO, V50, P2153, DOI 10.1007/s13280-021-01644-5
   Sousa-Silva R, 2018, FOREST POLICY ECON, V90, P22, DOI 10.1016/j.forpol.2018.01.004
   Stoneham G, 2003, AUST J AGR RESOUR EC, V47, P477, DOI 10.1111/j.1467-8489.2003.t01-1-00224.x
   Tiebel M, 2021, EUR J FOREST RES, V140, P1515, DOI 10.1007/s10342-021-01415-7
   Torralba M., 2020, 773702 EUR COMM
   Tóth SF, 2010, MATH COMPUT FOR NAT-, V2, P99
   Tyrvainen L., 2017, VALTIONEUVOSTON SELV, V88, P29
   Tyrvainen L., 2017, SUSTAINABLE EUROPEAN, P92
   Tyrväinen L, 2021, LAND USE POLICY, V107, DOI 10.1016/j.landusepol.2020.104478
   Vacik H., 2020, OUTCOMES COST ACTION
   Vacik H, 2014, SCAND J FOREST RES, V29, P9, DOI 10.1080/02827581.2013.830768
   Vedel SE, 2015, ECOL ECON, V113, P15, DOI 10.1016/j.ecolecon.2015.02.014
   Watson JEM, 2018, NAT ECOL EVOL, V2, P599, DOI 10.1038/s41559-018-0490-x
   Weiss G., 2000, Forest Policy and Economics, V1, P243, DOI 10.1016/S1389-9341(00)00017-4
   Weiss G., 2017, NATURA 2000 FORESTS, V7
   Weiss G., 2013, ENCY CREATIVITY INVE, P964
   Weiss G, 2019, ENCY CREATIVITY INVE
   Weiss G., 2019, NONWOOD FOREST PRODU, V10, P77
   Weiss G, 2021, FOREST POLICY ECON, V130, DOI 10.1016/j.forpol.2021.102506
   Weiss G, 2020, FORESTS, V11, DOI 10.3390/f11020165
   Weiss G, 2019, FOREST POLICY ECON, V99, P9, DOI 10.1016/j.forpol.2018.03.003
   Weiss G, 2011, INNOVATION IN FORESTRY: TERRITORIAL AND VALUE CHAIN RELATIONSHIPS, P303, DOI 10.1079/9781845936891.0303
   Whitten SM, 2017, LAND USE POLICY, V63, P552, DOI 10.1016/j.landusepol.2016.09.029
   Wiersum KF, 2018, INT FOREST REV, V20, P250, DOI 10.1505/146554818823767546
   Winkel G., 2013, EUROPEAN FOREST GOVE, V2, P52
   Winkel G., 2007, FREIBURGER SCHRIFTEN, V13
   Winkel G., 2017, Towards a Sustainable European Forest-Based Bioeconomy - Assessment and the Way Forward, What Science Can Tell us, V8
   Winkel G, 2016, ENVIRON PLANN C, V34, P496, DOI 10.1068/c1356j
   Winkel G, 2013, FOREST POLICY ECON, V36, P1, DOI 10.1016/j.forpol.2013.09.003
   Winkel G, 2011, CRIT POLICY STUD, V5, P361, DOI 10.1080/19460171.2011.628002
   Wolfslehner B., 2020, EUROPEAN GOVERNANCE
   Wolfslehner B., 2019, NONWOOD FOREST PRODU
   Wolfslehner B, 2011, ECOL INDIC, V11, P274, DOI 10.1016/j.ecolind.2010.05.004
   Wunder S, 2018, NAT SUSTAIN, V1, P145, DOI 10.1038/s41893-018-0036-x
   Wunder S, 2015, ECOL ECON, V117, P234, DOI 10.1016/j.ecolecon.2014.08.016
   Zivojinovic I, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104506
NR 124
TC 56
Z9 57
U1 56
U2 193
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1389-9341
EI 1872-7050
J9 FOREST POLICY ECON
JI Forest Policy Econ.
PD DEC
PY 2022
VL 145
AR 102849
DI 10.1016/j.forpol.2022.102849
EA OCT 2022
PG 15
WC Economics; Environmental Studies; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Forestry
GA 5H4IK
UT WOS:000867643900001
OA Green Published, hybrid, Green Submitted
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Middelanis, R
   Willner, SN
   Otto, C
   Levermann, A
AF Middelanis, Robin
   Willner, Sven N.
   Otto, Christian
   Levermann, Anders
TI Economic losses from hurricanes cannot be nationally offset under
   unabated warming
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE natural disasters; supply chains; higher-order impacts; Hurricane
   Harvey; tropical cyclones; extreme weather impacts
ID TROPICAL CYCLONE SIZE; CLIMATE-CHANGE; IMPACT; COSTS
AB Tropical cyclones range among the costliest of all meteorological events worldwide and planetary scale warming provides more energy and moisture to these storms. Modelling the national and global economic repercussions of 2017's Hurricane Harvey, we find a qualitative change in the global economic response in an increasingly warmer world. While the United States were able to balance regional production failures by the original 2017 hurricane, this option becomes less viable under future warming. In our simulations of over 7000 regional economic sectors with more than 1.8 million supply chain connections, the US are not able to offset the losses by use of national efforts with intensifying hurricanes under unabated warming. At a certain warming level other countries have to step in to supply the necessary goods for production, which gives US economic sectors a competitive disadvantage. In the highly localized mining and quarrying sector-which here also comprises the oil and gas production industry-this disadvantage emerges already with the original Hurricane Harvey and intensifies under warming. Eventually, also other regions reach their limit of what they can offset. While we chose the example of a specific hurricane impacting a specific region, the mechanism is likely applicable to other climate-related events in other regions and other sectors. It is thus likely that the regional economic sectors that are best adapted to climate change gain significant advantage over their competitors under future warming.
C1 [Middelanis, Robin; Willner, Sven N.; Otto, Christian; Levermann, Anders] Potsdam Inst Climate Impact Res, Telegrafenberg A56, D-14473 Potsdam, Germany.
   [Middelanis, Robin] Univ Potsdam, Dept Comp Sci, Bahn 2, D-14476 Potsdam, Germany.
   [Levermann, Anders] Univ Potsdam, Inst Phys & Astron, Karl Liebknecht Str 24-25, D-14476 Potsdam, Germany.
   [Levermann, Anders] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
C3 Potsdam Institut fur Klimafolgenforschung; University of Potsdam;
   University of Potsdam; Columbia University
RP Levermann, A (corresponding author), Potsdam Inst Climate Impact Res, Telegrafenberg A56, D-14473 Potsdam, Germany.; Levermann, A (corresponding author), Univ Potsdam, Inst Phys & Astron, Karl Liebknecht Str 24-25, D-14476 Potsdam, Germany.; Levermann, A (corresponding author), Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
EM anders.levermann@pik.potsdam.de
RI Middelanis, Robin/ABG-2592-2021; Levermann, Anders/G-4666-2011
OI Middelanis, Robin/0000-0001-8848-3745; Willner,
   Sven/0000-0001-6798-6247; Levermann, Anders/0000-0003-4432-4704; Otto,
   Christian/0000-0001-5500-6774
FU Horizon 2020 Framework Programme of the European Union project RECEIPT
   [820712]; German Federal Ministry of Education and Research (BMBF)
   [01LA1817C, 01LA1829A, 01LP1907A]
FX We thank Michael Wehner and three anonymous reviewers for their very
   constructive and valuable feedback to this work. This research has
   received funding from the Horizon 2020 Framework Programme of the
   European Union project RECEIPT (Grant Agreement 820712) and the German
   Federal Ministry of Education and Research (BMBF) under the research
   projects CLIC (01LA1817C), SLICE (01LA1829A), and QUIDIC (01LP1907A).
CR Acemoglu D, 2012, ECONOMETRICA, V80, P1977, DOI 10.3982/ECTA9623
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   [Anonymous], 2018, Gadm database of global administrative areas
   Bakkensen LA, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad056
   BevenII JL., 2021, NATL HURRICANE CTR T
   Blake E.S., 2018, National Hurricane Center Tropical Cyclone Report: Hurricane Harvey
   Botzen WJW, 2019, REV ENV ECON POLICY, V13, P167, DOI 10.1093/reep/rez004
   Chavas DR, 2015, J ATMOS SCI, V72, P3647, DOI 10.1175/JAS-D-15-0014.1
   Emanuel K, 2017, P NATL ACAD SCI USA, V114, P12681, DOI 10.1073/pnas.1716222114
   Emanuel K, 2011, WEATHER CLIM SOC, V3, P261, DOI 10.1175/WCAS-D-11-00007.1
   Estrada F, 2015, NAT GEOSCI, V8, P880, DOI [10.1038/NGEO2560, 10.1038/ngeo2560]
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hallegatte S, 2012, NAT CLIM CHANGE, V2, P148, DOI 10.1038/nclimate1427
   Hsiang SM, 2014, NATL BUREAU EC RES W, V20352, P1
   Knutson T, 2020, B AM METEOROL SOC, V101, pE303, DOI 10.1175/BAMS-D-18-0194.1
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Lenzen M, 2019, NAT HAZARD EARTH SYS, V19, P137, DOI 10.5194/nhess-19-137-2019
   Lenzen M, 2012, ENVIRON SCI TECHNOL, V46, P8374, DOI 10.1021/es300171x
   Levermann A, 2014, NATURE, V506, P27, DOI 10.1038/506027a
   Li L, 2020, NATURE, V587, P230, DOI 10.1038/s41586-020-2867-7
   Lin YL, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7591
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Middelanis R, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac39c0
   Narita D, 2010, J ENVIRON PLANN MAN, V53, P371, DOI 10.1080/09640561003613138
   NOAA, 2022, COSTL US TROP CYCL
   Okuyama Y, 2014, ECON SYST RES, V26, P1, DOI 10.1080/09535314.2013.871505
   Otto C, 2017, J ECON DYN CONTROL, V83, P232, DOI 10.1016/j.jedc.2017.08.001
   Patricola CM, 2018, NATURE, V563, P339, DOI 10.1038/s41586-018-0673-2
   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)]
   Reed KA, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaw9253
   Risser MD, 2017, GEOPHYS RES LETT, V44, P12457, DOI 10.1002/2017GL075888
   Robinson A, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00202-w
   Rose Adam., 2004, Modeling the Spatial Economic Impacts of Natural Hazards, P13, DOI DOI 10.1007/978-3-540-24787-6_2
   Seneviratne S.I., 2023, Climate Change 2021: The Physical Science Basis, P1513, DOI [DOI 10.1017/9781009157896.013, 10.1017/9781009157896.013]
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Sillmann J, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001783
   Smith A.B., 2020, CLIMATE.GOVJan. 8,, DOI 10.25921/stkw-7w73
   Strobl E, 2011, REV ECON STAT, V93, P575, DOI 10.1162/REST_a_00082
   Sun Y, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08533-6
   U.S. Energy Information Administration (EIA), 2021, LOUIS STAT EN PROF
   U.S. Energy Information Administration (EIA), 2021, TEX STAT EN PROF
   van den Hurk B., 2022, CLIM RISK MANAG
   van Oldenborgh GJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9ef2
   Walsh KJE, 2016, WIRES CLIM CHANGE, V7, P65, DOI 10.1002/wcc.371
   Wang SYS, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb85
   Wehner M, 2021, OCEANS-BASEL, V2, P688, DOI 10.3390/oceans2040039
   Wehner M, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03114-z
   Weinkle J, 2018, NAT SUSTAIN, V1, P808, DOI 10.1038/s41893-018-0165-2
   Wenz L, 2015, ECON SYST RES, V27, P194, DOI 10.1080/09535314.2014.987731
   Xu ZM, 2020, J METEOROL RES-PRC, V34, P163, DOI 10.1007/s13351-020-8164-4
NR 51
TC 6
Z9 6
U1 4
U2 15
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD OCT 1
PY 2022
VL 17
IS 10
AR 104013
DI 10.1088/1748-9326/ac90d8
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 5J2QF
UT WOS:000868888400001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Cortegano, M
   Dias, RC
   Vidal, DG
   Seixas, PC
AF Cortegano, Marta
   Dias, Ricardo Cunha
   Guedes Vidal, Diogo
   Seixas, Paulo Castro
TI 'Mertola, a lab for the future' as a transformational plan for the
   mediterranean semi-arid region: A learning case based on landsenses
   ecology
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE Transformational plan; learning case; sustainability governance;
   landsenses ecology; agroecological transition; mediterranean semi-arid
   region
AB Leaning cases as Transformational Plans are a tool that is still little explored and that have great potential in the framework of Landsenses Ecology as an emerging discipline. This work presents the project 'Mertola, a Lab for the Future' as a learning case of a Transformational Plan in the Mediterranean semi-arid region based on Landsenses Ecology. It is a project of agroecological transition, adaptation to climate change and desertification combat that places the local community leadership in the planning of a more sustainable and resilient future. The paper proposes Transformational Plans as a tool to promote networks for the sharing of technical-scientific, political and practical/lay knowledge enhancing a people-centred and place-based change. The learning case methodology follows an analysis showing a set of good governance practices for sustainability, through six transformation domains: access to natural ecosystems, knowledge and culture, systems of exchange, networks, equity, and discourse. Results show a strong articulation between the learning case and the UN 2030 Agenda, highlighting SDGs location and territorialization practices. This kind of projects, which strongly connects with governance and its multilevel and territorial translation, have a great potential for the Landsenses Ecology, contributing to innovate in governance approaches. The same place-based approach could be used and replicated by other territories in the Mediterranean semi-arid region to develop their Transformational Plans for accelerating transformation towards more sustainable territories.
C1 [Cortegano, Marta] Univ Lisbon FCUP, Fac Sci, Ctr Ecol Evolut & Environm Changes CE3c, Campo Grande 016, P-1749016 Lisbon, Portugal.
   [Cortegano, Marta] Coll Food, Farming & Forestry F3, Lisbon, Portugal.
   [Cortegano, Marta] Terra Sintrop Assoc, Beja, Mertola, Portugal.
   [Dias, Ricardo Cunha; Seixas, Paulo Castro] Univ Lisboa UL, Inst Social & Polit Sci ISCSP, Ctr Publ Adm & Publ Policies CAPP, Lisbon, Portugal.
   [Guedes Vidal, Diogo] Univ Fernando Pessoa UFP, UFP Energy Environm & Hlth Res Unit FP ENAS, Porto, Portugal.
C3 Universidade de Lisboa; Universidade de Lisboa
RP Cortegano, M (corresponding author), Univ Lisbon FCUP, Fac Sci, Ctr Ecol Evolut & Environm Changes CE3c, Campo Grande 016, P-1749016 Lisbon, Portugal.
EM Marta20@campus.ul.pt
RI Seixas, Paulo/AAT-9051-2021; Guedes Vidal, Diogo/U-1156-2017
OI Castro Seixas, Paulo/0000-0001-9209-8188; Dias,
   Ricardo/0000-0002-3801-1851; Guedes Vidal, Diogo/0000-0002-2777-2372
FU Leopold Bachmann Stiftung; Fundacao para a Ciencia e a Tecnologia
   [UIDB/00713/2020]; Fundação para a Ciência e a Tecnologia
   [UIDB/00713/2020] Funding Source: FCT
FX This work was supported by the Leopold Bachmann Stiftung and by the
   Fundacao para a Ciencia e a Tecnologia through the project
   UIDB/00713/2020.
CR Abegao JLR, 2019, HUM ECOL, V47, P669, DOI 10.1007/s10745-019-00099-3
   Almeida, 2016, ALENTEJO POPULACAO E
   Anderson CR, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195272
   [Anonymous], 2017, OBRA NASCE REV ARQUI
   Appadurai A., 2001, GLOBALIZATION, P21
   Baptista, 2020, DESENVOLV REG DEBATE, V10, P90, DOI [10.24302/drd.v10ied.esp.2755, DOI 10.24302/DRD.V10IED.ESP.2755]
   Benjamin B, 2006, HORIZON, V14, P159, DOI 10.1108/10748120610708069
   CATTON WR, 1978, AM SOCIOL, V13, P41
   CNADS/OBSERVA/MARE/2adapt, 2020, MUN PLATF SUST DEV G
   Costa N., 2020, STAKEHOLDER ENGAGEME
   Dotti NF, 2018, NEW HORIZ REG SCI, P1, DOI 10.4337/9781786433640
   Feng S, 2013, ATMOS CHEM PHYS, V13, P10081, DOI 10.5194/acp-13-10081-2013
   Ferreira P.M., 2020, RUMO 2030 MUNICIPIOS
   Geddes Patrick., 1915, CITIES EVOLUTION
   Cacho MMYT, 2018, AGROECOL SUST FOOD, V42, P637, DOI 10.1080/21683565.2018.1443313
   Gliessman S, 2018, AGROECOL SUST FOOD, V42, P599, DOI 10.1080/21683565.2018.1432329
   Hodgson J., 2010, Transition in action: Totnes and district 2030: an Energy Descent Action Plan
   Garcia-Corral FJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145672
   Joint Research Centre, 2019, WAD WORLD ATL DES
   Kannan A., 2012, Global Environmental Governance and Desertification: A Study of Gulf Cooperation Council Countries
   Lobner, 2018, J SUSTAIN DEV, V11, P152, DOI [10.5539/jsd.v11n6p152, DOI 10.5539/JSD.V11N6P152]
   Magrini MB, 2019, AGROECOLOGICAL TRANSITIONS, P69, DOI 10.1007/978-3-030-01953-2_5
   Medeiros E, 2019, URBAN BOOK SERIES, P1, DOI 10.1007/978-3-030-03386-6
   Ministerio dos Negocios Estrangeiros, 2017, REL NAC IMPL AG 2030, P86
   Nations U., 1992, EARTH SUMMIT AGENDA
   [Nations United. United Nations General Assembly United Nations General Assembly], 2018, Official Document System of the United Nations: United Nations p, P21
   Penha-Lopes, 2015, CASE STUDY ADAPTATIO
   Pordata, 2021, AGEING INDEX
   Roxo MJ., 1999, MANUAL KEY INDICATOR, P80
   Santos B., 2010, Epistemologias do Sul
   Seixas PC., 2020, REV PORT ESTUD REG, V55, P47
   Shao G, 2020, INT J SUST DEV WORLD, V27, P193, DOI 10.1080/13504509.2020.1731723
   Sintropica AT., 2020, MERTOLA FUTURE LAB
   Spinoni J, 2015, INT J CLIMATOL, V35, P2210, DOI 10.1002/joc.4124
   UCLG, 2019, LOC SDGS
   UN, 2015, TRANSF OUR WORLD 203
   Valente MC., 2009, ESTRATEGIA VALORIZAC
   Wezel A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041214
   Zhao J, 2020, INT J SUST DEV WORLD, V27, P196, DOI 10.1080/13504509.2020.1718795
   Zhao JZ, 2016, INT J SUST DEV WORLD, V23, P293, DOI 10.1080/13504509.2015.1119215
NR 40
TC 3
Z9 3
U1 2
U2 23
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 OCT 3
PY 2021
VL 28
IS 7
SI SI
BP 612
EP 621
DI 10.1080/13504509.2021.1920059
EA MAY 2021
PG 10
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA WE9TE
UT WOS:000646445500001
DA 2025-01-10
ER

PT J
AU Zakizadeh, HR
   Ahmadi, H
   Zehtabiyan, GR
   Moeini, A
   Moghaddamnia, A
AF Zakizadeh, Hamid Reza
   Ahmadi, Hassan
   Zehtabiyan, Gholam Reza
   Moeini, Abolfazl
   Moghaddamnia, Alireza
TI Impact of climate change on surface runoff: a case study of the Darabad
   River, northeast of Iran
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE CanESM2; climate change; RCP; SDSM; SWAT
AB Climate change is one of the major challenges affecting natural ecosystems and various aspects of human life. The effects of global warming on the hydrology and water cycle in nature are very serious, and the quantitative recognition of these effects creates more readiness to deal with its consequences. In the present study, the 2006-2100 period is predicted based on the statistical downscaling model (SDSM). Finally, the effects of climate change on the hydrological conditions in the Darabad watershed are simulated using the Soil and Water Assessment Tool (SWAT) model. The SWAT model calibration is done based on the SUFI-2 algorithm, and the effective and optimal parameter is identified. The results of the study, while confirming the efficiency of both SDSM in climate simulations and SWAT in hydrological simulation, showed that the increase in precipitation and temperature is probably in future climate conditions for the 2010-2040 period. The surface flow and runoff at the watershed area during the observation period (1970-2010) is 0.29 m(3)/s, but this value for the predicted period with regard to climate change in the RCP 2.6, RCP 4.5, and RCP 8.5 scenarios is equal to 0.43, 0.44, and 0.45 m(3)/s. The results of research, while highlighting the importance of effects of climate change, make it essential to apply them for proper management in order to adapt to climate change in the future policies of the Darabad watershed management.
C1 [Zakizadeh, Hamid Reza; Ahmadi, Hassan; Moeini, Abolfazl] Islamic Azad Univ, Sci & Res Branch, Dept Forest Range & Watershed Management, Tehran, Iran.
   [Zehtabiyan, Gholam Reza; Moghaddamnia, Alireza] Univ Tehran, Dept Reclamat Arid & Mt Regi, Karaj, Iran.
C3 Islamic Azad University; University of Tehran
RP Ahmadi, H (corresponding author), Islamic Azad Univ, Sci & Res Branch, Dept Forest Range & Watershed Management, Tehran, Iran.
EM ahmadi@ut.ac.ir
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Ahmadi M., PHYS CHEM EARTH PART, V114
   Ahmadi M, 2019, PHYS CHEM EARTH, V111, P65, DOI 10.1016/j.pce.2019.05.002
   Al-Mukhtar M, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5929-2
   Arnold JG, 2012, T ASABE, V55, P1491
   Awan UK, 2016, HYDROL RES, V47, P1025, DOI 10.2166/nh.2016.102
   da Silva RM, 2018, HYDROL RES, V49, P908, DOI 10.2166/nh.2018.222
   Dawson C. W., 2007, SDSM 42 A DECISION S
   Dehghan Z, CLIMATE CHANGE RESIL, P333
   Deng Z, ENVIRON EARTH SCI, V73
   Dhami B, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-017-7210-8
   Dinpashoh Y, 2019, THEOR APPL CLIMATOL, V138, P65, DOI 10.1007/s00704-019-02810-2
   Gagnon S., CAN WATER RESOUR J, V30, P297
   Gyamfi C., 2016, Journal of Water Resource and Protection, V8, P397, DOI 10.4236/jwarp.2016.83033
   Hassan Z, 2014, THEOR APPL CLIMATOL, V116, P243, DOI 10.1007/s00704-013-0951-8
   Huo AD, 2013, ENVIRON EARTH SCI, V69, P1931, DOI 10.1007/s12665-012-2025-0
   Iwadra M, 2019, THEOR APPL CLIMATOL, V137, P2029, DOI 10.1007/s00704-018-2726-8
   Jaiswal RK, 2017, J WATER CLIM CHANGE, V8, P755, DOI 10.2166/wcc.2017.097
   Jimeno-Sáez P, 2018, WATER-SUI, V10, DOI 10.3390/w10020192
   Klein Naomi, THIS CHANGES EVERYTH
   Mirdashtvan M, 2018, METEOROL APPL, V25, P414, DOI 10.1002/met.1709
   Narsimlu B, 2013, WATER RESOUR MANAG, V27, P3647, DOI 10.1007/s11269-013-0371-7
   Nazari-Sharabian M., 2019, WATERSHED SCALE SURF
   Noori N, 2016, J HYDROL, V533, P141, DOI 10.1016/j.jhydrol.2015.11.050
   Park JY, 2014, PADDY WATER ENVIRON, V12, pS65, DOI 10.1007/s10333-014-0424-4
   Pradhan-Salike I, J NATURAL RESOURCES, V7, P56
   Rahimi J, 2019, THEOR APPL CLIMATOL, V135, P545, DOI 10.1007/s00704-018-2395-7
   Raziei T., 2015, ICD 21 EUR REG C MAY, P1
   Rostamian R, 2008, HYDROLOG SCI J, V53, P977, DOI 10.1623/hysj.53.5.977
   Saha PP, 2014, ENVIRON EARTH SCI, V71, P5241, DOI 10.1007/s12665-013-2926-6
   Samadi S, 2013, WATER RESOUR MANAG, V27, P117, DOI 10.1007/s11269-012-0170-6
   Sanz-Pérez ES, 2016, CHEM REV, V116, P11840, DOI 10.1021/acs.chemrev.6b00173
   Sarzaeim P, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6834-z
   Shahvari N, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7266-x
   Tavakol-Davani H, 2013, INT J CLIMATOL, V33, P2561, DOI 10.1002/joc.3611
   Vaghefi SA, 2014, HYDROL PROCESS, V28, P2018, DOI 10.1002/hyp.9747
   Vera C, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025759
   Worqlul AW, 2018, CATENA, V163, P332, DOI 10.1016/j.catena.2017.12.040
   Zehtabian G. R., 2016, Desert, V21, P155
NR 39
TC 13
Z9 13
U1 2
U2 20
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD FEB
PY 2021
VL 12
IS 1
BP 82
EP 100
DI 10.2166/wcc.2020.089
PG 19
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA QM7CJ
UT WOS:000621932800006
OA hybrid
DA 2025-01-10
ER

PT C
AU Salokhiddinov, A
   Boirov, R
   Ismailov, M
   Mamatov, S
   Khakimova, P
   Rakhmatullaeva, M
AF Salokhiddinov, A.
   Boirov, R.
   Ismailov, M.
   Mamatov, S.
   Khakimova, P.
   Rakhmatullaeva, M.
GP IOP
TI Climate change effects on irrigated agriculture: perspectives from
   agricultural producers in eastern Uzbekistan
SO 6TH INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT 6th International Conference on Water Resource and Environment (WRE)
CY AUG 23-26, 2020
CL ELECTR NETWORK
DE Impact of Climate Change; Irrigated Agriculture; Awareness; Adaptation
AB Sustainability of irrigated agricultural development has been severely impacted by global climate change in recent decades, which is among the main environmental and economic problems facing the world community. The article presents the results of the research conducted in selected areas of irrigated agriculture in eastern Uzbekistan to study the impact of climate change on agricultural production and the agricultural producer's perspective and awareness. Major factors affecting agricultural producers' behavior under climate change and their current practices and skills for adapting to climate change were studied. The field study has been conducted in 9 districts located in two regions of the Ferghana valley. The respondents-representatives of agricultural producers selected from the list of Farmer's Associations members taking their location relative to irrigation water sources into account. Quantitative analysis of data carried out with the use of SPSS-22 software. As the research results show, the impact of climate change on irrigated agriculture has become incredibly tangible in the last decade. It affected the situation with losses in yields of up to 16% and decreasing the quality of agricultural products. The rural population's vulnerability factors include low income from agriculture, acute dependence on irrigation in conditions of increasing water scarcity, low level of applied technologies, adaptation measures, low yields, land degradation, etc. Analysis of the research results, and other related studies on this issue, allows us to indicate directions for improving adaptation measures in the short, medium, and long-term periods.
C1 [Salokhiddinov, A.; Boirov, R.; Ismailov, M.; Mamatov, S.; Khakimova, P.] Tashkent Inst Irrigat & Agr Mechanizat Engineers, Tashkent, Uzbekistan.
   [Rakhmatullaeva, M.] Tashkent Univ Informat Technol, Tashkent, Uzbekistan.
C3 Tashkent Institute of Irrigation & Agricultural Mechanization Engineers;
   Tashkent University of Information Technologies
RP Salokhiddinov, A (corresponding author), Tashkent Inst Irrigat & Agr Mechanizat Engineers, Tashkent, Uzbekistan.
EM pepiwm@gmail.com
RI Salokhiddinov, Abdulkhakim/AAA-8091-2021
OI Mavjuda, Rahmatullayeva/0000-0001-8074-5368
FU UNDP; Ministry of foreign economic relations, investments and trade of
   Uzbekistan "Promotion of trade" Project; USAID; Innovative Development
   Ministry of Uzbekistan [KX-A-2018-302]
FX We thank the following projects for provided support in conducting the
   study and publication of its results: UNDP funded and supported by the
   Ministry of foreign economic relations, investments and trade of
   Uzbekistan "Promotion of trade" Project, USAID funded project "Reducing
   water pollution and carbon emissions from irrigated areas by improving
   irrigation management and rural livelihoods: case studies from
   energy-intensive pump irrigated areas of Sogd Province, Tajikistan, and
   Kashkadarya Province, Uzbekistan", KX-A-2018-302 "Study the climate
   change impact on water resources potential and adaptation measures in
   Uzbekistan" project funded by Innovative Development Ministry of
   Uzbekistan.
CR Agal'tseva NA, 2011, RUSS METEOROL HYDRO+, V36, P681, DOI 10.3103/S1068373911100062
   [Anonymous], 2009, Report
   [Anonymous], 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, P43
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bobojonov I, 2014, AGR ECOSYST ENVIRON, V188, P245, DOI 10.1016/j.agee.2014.02.033
   Clare N, 2018, WMO B, V67, P1
   Concept Note-Climate Change and Conservation Of Natural Potential, 2011, INT 6 WORLD WAT FOR
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Jayaraman T, 2014, AGRARIAN STUDIES, V4, P1
   Karimov A, 2019, WEB C, V97
   Kulmatov R, 2020, J ARID LAND, V12, P90, DOI 10.1007/s40333-020-0092-8
   Mall RK, 2007, CLIMATIC CHANGE, V82, P225, DOI 10.1007/s10584-006-9236-x
   McCarl BA, 2015, MITIG ADAPT STRAT GL, V20, P1097, DOI 10.1007/s11027-013-9520-9
   McDonald RI, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065589
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Myagkov S V, 2012, CENTR AS INT SCI PRA, P163
   Salokhiddinov AT, 2015, P WORKSH IMPR NAT RE, V6, P64
   Salokhiddiov A., 2020, IOP Conference Series: Materials Science and Engineering, V883, DOI 10.1088/1757-899X/883/1/012073
   Salvo M. de, 2013, Journal of Development and Agricultural Economics, V5, P499, DOI 10.5897/JDAE2013.0519
   Spiritual V A, 2018, FUTURE AMU DARYA BAS, P328
   World Bank, 2009, ADAPTING CLIMATE CHA
NR 21
TC 4
Z9 4
U1 3
U2 15
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PY 2020
VL 612
AR 012058
DI 10.1088/1755-1315/612/1/012058
PG 10
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA BR3GE
UT WOS:000646217700058
OA gold
DA 2025-01-10
ER

PT J
AU Brown, PR
   Afroz, S
   Chialue, L
   Chiranjeevi, T
   El, S
   Grünbühel, CM
   Khan, I
   Pitkin, C
   Reddy, VR
   Roth, CH
   Sacklokham, S
   Williams, LJ
AF Brown, Peter R.
   Afroz, Sharmin
   Chialue, Lytoua
   Chiranjeevi, T.
   El, Sotheary
   Grunbuhel, Clemens M.
   Khan, Iqbal
   Pitkin, Cathy
   Reddy, V. Ratna
   Roth, Christian H.
   Sacklokham, Silinthone
   Williams, Liana J.
TI Constraints to the capacity of smallholder farming households to adapt
   to climate change in South and Southeast Asia
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Bangladesh; Cambodia; community; focus group discussions; India; Lao
   PDR; rural livelihood analysis; self-assessment; smallholder farmers
ID POLICY DEVELOPMENT; ANDHRA-PRADESH; VULNERABILITY; LEVEL; AGRICULTURE;
   RESILIENCE; FARMERS; IMPACTS
AB Rural households in developing countries face a range of pressures to secure their livelihoods. Households feel the effects of changing rainfall patterns, droughts, cyclones, floods and increased temperatures, and draw on a wide range of resources to adapt but some households are better equipped than others. We explore the extent to which smallholder rural households might be able to adapt to the processes of increased climate variability or climate change through assessing their adaptive capacity using elements of the rural livelihoods framework. We involved almost 600 participants in discussions and interviews in India, Bangladesh, Cambodia and Lao PDR to explore the factors that condition their ability to adapt. We identified 36 key indicators of adaptive capacity, half were specifically related to climate change or climate variability, with others recognized as important in terms of overall livelihoods. "Experience", "health" and "labour" (Human capital), "access to market" and "farmer networks/groups" (Social capital) were considered strongly enabling of adaptation, whereas "lack of training" (Human capital) and "soil quality/condition" (Natural capital) constrained adaptation. It takes time for households to recover from climatic events, but, households with better access to diverse resources, and a more balanced livelihood portfolio were better able to cope. Mechanisms to support adaptation involved supporting farmer groups, novel information networks, better access to markets and value chains, land ownership, improved financial and economic management, and credit options.
C1 [Brown, Peter R.] CSIRO Agr & Food, Canberra, ACT, Australia.
   [Afroz, Sharmin; Khan, Iqbal] Socio Econ Res & Dev Initiat, Dhaka, Bangladesh.
   [Chialue, Lytoua; Sacklokham, Silinthone] Natl Univ Laos, Viangchan, Laos.
   [Chiranjeevi, T.; Reddy, V. Ratna] Livelihoods & Nat Resource Management Inst, Hyderabad, India.
   [El, Sotheary] Cambodia Agr Res & Dev Inst, Phnom Penh, Cambodia.
   [Grunbuhel, Clemens M.] Asia Ctr, Stockholm Environm Inst, Pathumwan, Thailand.
   [Pitkin, Cathy; Roth, Christian H.; Williams, Liana J.] CSIRO Land & Water, Ecosci Precinct, Dutton Pk, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Agriculture & Food; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Brown, PR (corresponding author), CSIRO Agr & Food, Canberra, ACT, Australia.
EM peter.brown@csiro.au
RI Reddy, V./S-9222-2019; Grunbuhel, Clemens/D-8240-2011; Brown,
   Peter/G-2690-2010; Williams, Liana/A-7395-2011
OI Brown, Peter/0000-0001-5894-8329; Williams, Liana/0000-0002-4609-5119
FU Australian Centre for International Agricultural Research [LWR/2008/015,
   LWR/2008/019]; CSIRO Climate Adaptation Flagship
FX This work was supported by Australian Centre for International
   Agricultural Research: [Grant Number LWR/2008/015; LWR/2008/019]; CSIRO
   Climate Adaptation Flagship.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2004, SMALLHOLDERS GLOBALI
   [Anonymous], 2012, ASIAN J ENV DISASTER, DOI DOI 10.3850/S1793924012100055
   [Anonymous], 1993, SMALLHOLDERS HOUSEHO, DOI DOI 10.1515/9781503622067
   Aulong S, 2012, REG ENVIRON CHANGE, V12, P423, DOI 10.1007/s10113-011-0258-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berkes F, 2002, CONSERV ECOL, V5
   Bernstein H., 1992, RURAL LIVELIHOODS CR
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown PR, 2016, AGR SYST, V146, P129, DOI 10.1016/j.agsy.2016.05.002
   Brown PR, 2012, ENVIRON MONIT ASSESS, V184, P7207, DOI 10.1007/s10661-011-2491-y
   Brown PR, 2010, AGR SYST, V103, P562, DOI 10.1016/j.agsy.2010.06.004
   CARE International, 2010, WORK POV RED SOC JUS
   Chambers R., 1992, IDS DISCUSSION PAPER
   Chambers Robert., 2008, Revolutions in development inquiry
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Clabby C, 2010, AM SCI, V98, P291
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   Davies J, 2008, RANGELAND J, V30, P55, DOI 10.1071/RJ07038
   de Schutter O., 2013, AGRARIAN TRANSITION
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dorward A, 2009, DEV POLICY REV, V27, P131, DOI 10.1111/j.1467-7679.2009.00439.x
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Harris D, 2014, AGR SYST, V123, P84, DOI 10.1016/j.agsy.2013.09.005
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Holling C.S., 1978, Adaptive environmental assessment and management
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huq N, 2015, SUSTAINABILITY-BASEL, V7, P8437, DOI 10.3390/su7078437
   Jacobs B. C., 2014, Journal of Natural Resources Policy Research, V6, P1, DOI 10.1080/19390459.2013.869032
   Jakimow T, 2013, OXF DEV STUD, V41, P493, DOI 10.1080/13600818.2013.847078
   Jakimow T, 2012, J DEV STUD, V48, P1274, DOI 10.1080/00220388.2012.682988
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Juhola S, 2015, MITIG ADAPT STRAT GL, V20, P99, DOI 10.1007/s11027-013-9481-z
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Kofinas GaryP., 2009, Principles of ecosystem stewardship: Resilience-based natural resource management in a changing world, P55
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Leith P, 2012, SOC NATUR RESOUR, V25, P775, DOI 10.1080/08941920.2011.637548
   Marshall NA, 2010, GLOBAL ENVIRON CHANG, V20, P36, DOI 10.1016/j.gloenvcha.2009.10.003
   Moran E.F., 1982, HUMAN ADAPTABILITY
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nidumolu UB, 2015, J AGR SCI-CAMBRIDGE, V153, P1380, DOI 10.1017/S0021859615000283
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Ostrom E, 1999, ANNU REV POLIT SCI, V2, P493, DOI 10.1146/annurev.polisci.2.1.493
   Park S, 2012, ENVIRON SCI POLICY, V15, P23, DOI 10.1016/j.envsci.2011.09.004
   Prattoy Sarkar Prattoy Sarkar, 2011, Agricultural Economics Research Review, V24, P437
   Putnam R., 1999, BOWLING ALONE
   Rigg J, 2014, J DEV STUD, V50, P368, DOI 10.1080/00220388.2013.858130
   Roth C. H., 2010, INTEGRATION FRAMEWOR, P45
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Sen A.K., 1981, POVERTY FAMINES
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Venkatesh P, 2015, INDIAN J AGR SCI, V85, P671
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Walker B., 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World, P174
   WEBBER LM, 1995, AGR SYST, V47, P107, DOI 10.1016/0308-521X(94)P3278-3
   Willkomm L, 2015, METHODS MOL BIOL, P1, DOI 10.1007/978-1-4939-2703-6_1
   Yusuf A. A., 2009, CLIMATE CHANGE VULNE, P26
NR 67
TC 47
Z9 51
U1 0
U2 45
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAY 28
PY 2019
VL 11
IS 5
BP 383
EP 400
DI 10.1080/17565529.2018.1442798
PG 18
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA IE0XY
UT WOS:000472111300001
DA 2025-01-10
ER

PT J
AU van Putten, IE
   Frusher, S
   Fulton, EA
   Hobday, AJ
   Jennings, SM
   Metcalf, S
   Pecl, GT
AF van Putten, Ingrid E.
   Frusher, Stewart
   Fulton, Elizabeth A.
   Hobday, Alistair J.
   Jennings, Sarah M.
   Metcalf, Sarah
   Pecl, Gretta T.
TI Empirical evidence for different cognitive effects in explaining the
   attribution of marine range shifts to climate change
SO ICES JOURNAL OF MARINE SCIENCE
LA English
DT Article; Proceedings Paper
CT 3rd International Symposium on the Effects of Climate Change on the
   World's Oceans
CY MAR, 2015
CL PICES, Santos, BRAZIL
SP ICES, IOC, IO USP
HO PICES
DE climate change; fisheries; perceptions; range shift
ID PUBLIC PERCEPTIONS; RISK PERCEPTIONS; FISH STOCKS; ADAPTATION;
   CONSERVATION; FISHERIES; SCIENCE; INFORMATION; UNCERTAINTY; EXTENSION
AB The changing geographical distribution of species, or range shift, is one of the better documented fingerprints of climate change in the marine environment. Range shifts may also lead to dramatic changes in the distribution of economic, social, and cultural opportunities. These challenge marine resource users' capacity to adapt to a changing climate and managers' ability to implement adaptation plans. In particular, a reluctance to attribute marine range shift to climate change can undermine the effectiveness of climate change communications and pose a potential barrier to successful adaptation. Attribution is a known powerful predictor of behavioural intention. Understanding the cognitive processes that underpin the formation of marine resource users' beliefs about the cause of observed marine range shift phenomena is therefore an important topic for research. An examination of the attribution by marine resource users of three types of range shifts experienced in a marine climate change hotspot in southeast Australia to various climate and non-climate drivers indicates the existence of at least three contributing cognitions. These are: (i) engrained mental representations of environmental phenomena, (ii) scientific complexity in the attribution pathway, and (iii) dissonance from the positive or negative nature of the impact. All three play a part in explaining the complex pattern of attribution of marine climate change range shifts, and should be considered when planning for engagement with stakeholders and managers around adaptation to climate change.
C1 [van Putten, Ingrid E.; Fulton, Elizabeth A.; Hobday, Alistair J.] CSIRO Oceans & Atmosphere, GPO Box 1538, Hobart, Tas 7001, Australia.
   [van Putten, Ingrid E.; Frusher, Stewart; Pecl, Gretta T.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7000, Australia.
   [van Putten, Ingrid E.; Frusher, Stewart; Fulton, Elizabeth A.; Hobday, Alistair J.; Jennings, Sarah M.; Pecl, Gretta T.] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7000, Australia.
   [Jennings, Sarah M.] Univ Tasmania, Tasmanian Sch Business & Econ, Hobart, Tas 7000, Australia.
   [Metcalf, Sarah] Murdoch Univ, Sch Management & Governance, South St, Murdoch, WA 6150, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   CSIRO Oceans & Atmosphere; University of Tasmania; University of
   Tasmania; University of Tasmania; Murdoch University
RP van Putten, IE (corresponding author), CSIRO Oceans & Atmosphere, GPO Box 1538, Hobart, Tas 7001, Australia.; van Putten, IE (corresponding author), Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7000, Australia.; van Putten, IE (corresponding author), Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7000, Australia.
EM ingrid.vanputten@csiro.au
RI van putten, ingrid/AAV-1301-2021; Fulton, Beth/A-2871-2008; Jennings,
   Sarah/J-7888-2014; Hobday, Alistair/A-1460-2012; Frusher,
   Stewart/G-5117-2014; Pecl, Gretta/D-7267-2011
OI Fulton, Beth/0000-0002-5904-7917; Pecl, Gretta/0000-0003-0192-4339
CR ADAMS RLA, 1973, ECON GEOGR, V49, P287, DOI 10.2307/143232
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   [Anonymous], PERCEPTION EVALUATIO
   [Anonymous], 2013, The rationalizing voter
   [Anonymous], 1998, Rev. Gen. Psychol, DOI [DOI 10.1037/1089-2680.2.2.175, 10.1037/1089-2680.2.2.175]
   [Anonymous], E COAST TASMANIA ASS
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Bersoff DM, 1999, J MORAL EDUC, V28, P413, DOI 10.1080/030572499102981
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Boykoff MT, 2007, GEOFORUM, V38, P1190, DOI 10.1016/j.geoforum.2007.01.008
   Bradshaw GA, 2000, CONSERV ECOL, V4
   Bradshaw M, 2004, FISH RES, V67, P99, DOI 10.1016/j.fishres.2003.11.007
   Brander K, 2011, NAT CLIM CHANGE, V1, P70, DOI 10.1038/nclimate1092
   Broad W., 1983, Betrayers of the Truth: Fraud and Deceit in the Hall of Science
   Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288
   Cai W, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024701
   CARLTON JT, 1993, SCIENCE, V261, P78, DOI 10.1126/science.261.5117.78
   Chambers LE, 2015, REG ENVIRON CHANGE, V15, P197, DOI 10.1007/s10113-014-0634-8
   Charles A, 2012, CURR OPIN ENV SUST, V4, P351, DOI 10.1016/j.cosust.2012.05.011
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cook J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024024
   Costello C, 2008, SCIENCE, V321, P1678, DOI 10.1126/science.1159478
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Dunning D, 1999, PSYCHOL INQ, V10, P1, DOI 10.1207/s15327965pli1001_1
   Engelhard G. H., 2008, REPORT OF WP1
   FESTINGER L, 1962, SCI AM, V207, P93, DOI 10.1038/scientificamerican1062-93
   Frusher S., 2013, 2010542 FRDC
   Frusher SD, 2014, REV FISH BIOL FISHER, V24, P593, DOI 10.1007/s11160-013-9325-7
   Garrabou J, 2009, GLOBAL CHANGE BIOL, V15, P1090, DOI 10.1111/j.1365-2486.2008.01823.x
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Gledhill D. C., 2014, MARINE FRESHWATER RE, V65, P1
   Goodman L.A., 1961, Source: Ann. Math. Stat., V32, P148, DOI [DOI 10.1214/AOMS/1177705148, 10.1214/aoms/1177705148]
   Goodwin J. R., 2001, UNDERSTANDING CULTUR
   Green B. S., 2012, SPATIAL MANAGEMENT S
   Guy S, 2013, CLIMATIC CHANGE, V121, P579, DOI 10.1007/s10584-013-0949-3
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Haidt J, 2001, PSYCHOL REV, V108, P814, DOI 10.1037//0033-295X.108.4.814
   Hallegraeff GM, 2010, J PHYCOL, V46, P220, DOI 10.1111/j.1529-8817.2010.00815.x
   Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
   Hamon KG, 2009, AQUAT LIVING RESOUR, V22, P549, DOI 10.1051/alr/2009039
   Hannesson R, 2007, NAT RESOUR MODEL, V20, P301
   Hannesson Rognvaldur, 2006, Natural Resource Modeling, V19, P633
   Hobday AJ, 2014, REV FISH BIOL FISHER, V24, P415, DOI 10.1007/s11160-013-9326-6
   Hobday AJ, 2013, CLIMATIC CHANGE, V119, P49, DOI 10.1007/s10584-013-0716-5
   Hodgkinson JH, 2014, REG ENVIRON CHANGE, V14, P1663, DOI 10.1007/s10113-014-0618-8
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Huntington H., 2005, ACIA Scientific Report
   Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.1059199
   Johnson C. R., 2005, RANGE EXTENSION LONG
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Kahneman D., 2011, Thinking, fast and slow
   Keller K, 2008, CLIM DYNAM, V30, P321, DOI 10.1007/s00382-007-0290-5
   Kirby A., 2004, BBC News
   KUNDA Z, 1990, PSYCHOL BULL, V108, P480, DOI 10.1037/0033-2909.108.3.480
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
   Leviston Z, 2013, NAT CLIM CHANGE, V3, P334, DOI [10.1038/nclimate1743, 10.1038/NCLIMATE1743]
   Lewandowsky S, 2013, PSYCHOL SCI, V24, P622, DOI 10.1177/0956797612457686
   Lewandowsky S, 2012, PSYCHOL SCI PUBL INT, V13, P106, DOI 10.1177/1529100612451018
   Ling SD, 2008, OECOLOGIA, V156, P883, DOI 10.1007/s00442-008-1043-9
   Ling SD, 2009, P NATL ACAD SCI USA, V106, P22341, DOI 10.1073/pnas.0907529106
   Ling SD, 2009, GLOBAL CHANGE BIOL, V15, P719, DOI 10.1111/j.1365-2486.2008.01734.x
   Lowe T, 2006, PUBLIC UNDERST SCI, V15, P435, DOI 10.1177/0963662506063796
   Malle B.F., 2011, Theories in social psychology, P72
   Mandler G., 1990, MOVE, P13, DOI DOI 10.1901/JABA.2007.40-501
   Marzloff MP, 2011, ECOL MODEL, V222, P2651, DOI 10.1016/j.ecolmodel.2011.03.040
   McCright AM, 2011, SOCIOL QUART, V52, P155, DOI 10.1111/j.1533-8525.2011.01198.x
   McCright AM, 2011, CLIMATIC CHANGE, V104, P243, DOI 10.1007/s10584-010-9946-y
   Metcalf SJ, 2014, SUSTAIN SCI, V9, P247, DOI 10.1007/s11625-013-0239-z
   Metcalf S. J., ECOLOGY SOC IN PRESS, V9, P247
   Milne M., 2008, Climate Risk and Industry Adaptation
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Musick JA, 2000, FISHERIES, V25, P6, DOI 10.1577/1548-8446(2000)025<0006:MEADFS>2.0.CO;2
   Neuheimer AB, 2011, NAT CLIM CHANGE, V1, P110, DOI [10.1038/NCLIMATE1084, 10.1038/nclimate1084]
   NEWCOMB T, 1958, AM SOCIOL REV, V23, P742, DOI 10.2307/2089062
   Nursey-Bray M, 2012, MAR POLICY, V36, P753, DOI 10.1016/j.marpol.2011.10.015
   Palutikof Jean., 2013, Climate Adaptation Futures
   Parmesan C, 2013, ECOL LETT, V16, P58, DOI 10.1111/ele.12098
   Parmesan C, 2011, NAT CLIM CHANGE, V1, P2, DOI 10.1038/nclimate1056
   PAULY D, 1995, TRENDS ECOL EVOL, V10, P430, DOI 10.1016/S0169-5347(00)89171-5
   Pecl G. T., 2014, 2011039 FISH RES DEV, P278
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Pitt NR, 2010, MAR FRESHWATER RES, V61, P963, DOI 10.1071/MF09225
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Ramos JE, 2015, MAR FRESHWATER RES, V66, P999, DOI 10.1071/MF14126
   Ramos JE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103480
   Ridgway KR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030392
   Robinson LM, 2015, GLOBAL ENVIRON CHANG, V31, P28, DOI 10.1016/j.gloenvcha.2014.12.003
   Silvano RAM, 2012, NEOTROP ICHTHYOL, V10, P133, DOI 10.1590/S1679-62252012000100013
   Sissener EH, 2005, MAR POLICY, V29, P299, DOI 10.1016/j.marpol.2004.04.002
   Stamm KR, 2000, PUBLIC UNDERST SCI, V9, P219, DOI 10.1088/0963-6625/9/3/302
   Stenevik EK, 2007, MAR POLICY, V31, P19, DOI 10.1016/j.marpol.2006.05.001
   Sterman JD, 2007, CLIMATIC CHANGE, V80, P213, DOI 10.1007/s10584-006-9107-5
   Sunday JM, 2015, ECOL LETT, V18, P944, DOI 10.1111/ele.12474
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thresher R, 2003, MAR BIOL, V142, P867, DOI 10.1007/s00227-003-1011-1
   Tvinnereim E, 2015, NAT CLIM CHANGE, V5, P744, DOI [10.1038/nclimate2663, 10.1038/NCLIMATE2663]
   Valentine JP, 2003, J EXP MAR BIOL ECOL, V295, P63, DOI 10.1016/S0022-0981(03)00272-7
   van Putten I, 2014, INT J CLIM CHANG STR, V6, P421, DOI 10.1108/IJCCSM-01-2013-0002
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Wernberg T, 2013, NAT CLIM CHANGE, V3, P78, DOI [10.1038/nclimate1627, 10.1038/NCLIMATE1627]
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
   Wolf J, 2011, ADV GLOB CHANGE RES, V42, P21, DOI 10.1007/978-94-007-0567-8_2
   Zeidberg LD, 2007, P NATL ACAD SCI USA, V104, P12946, DOI 10.1073/pnas.0702043104
   Zhang DD, 2011, P NATL ACAD SCI USA, V108, P17296, DOI 10.1073/pnas.1104268108
NR 107
TC 23
Z9 25
U1 0
U2 44
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1054-3139
EI 1095-9289
J9 ICES J MAR SCI
JI ICES J. Mar. Sci.
PD MAY-JUN
PY 2016
VL 73
IS 5
BP 1306
EP 1318
DI 10.1093/icesjms/fsv192
PG 13
WC Fisheries; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Science (CPCI-S)
SC Fisheries; Marine & Freshwater Biology; Oceanography
GA DP6WL
UT WOS:000378640100005
OA Bronze
DA 2025-01-10
ER

PT C
AU Tutundzic, A
   Cvejic, J
   Bobic, A
   Radulovic, S
AF Tutundzic, Andreja
   Cvejic, Jasminka
   Bobic, Aleksandar
   Radulovic, Stojanka
GP SGEM
TI KUMODRAZ STREAM CATCHMENT IN BELGRADE: MONITORING THE URBANIZATION IN
   THE CONTEXT OF CITES ADAPTATION TO CLIMATE CHANGE
SO NANO, BIO AND GREEN - TECHNOLOGIES FOR A SUSTAINABLE FUTURE, VOL II
   (SGEM 2015)
SE International Multidisciplinary Scientific GeoConference-SGEM
LA English
DT Proceedings Paper
CT 15th International Multidisciplinary Scientific Geoconference (SGEM)
CY JUN 18-24, 2015
CL Albena, BULGARIA
SP Bulgarian Acad Sci, Acad Sci Czech Repub, Latvian Acad Sci, Polish Acad Sci, Russian Acad Sci, Serbian Acad Sci & Arts, Slovak Acad Sci, Natl Acad Sci Ukraine, Inst Water Problem & Hydropower NAS KR, Natl Acad Sci Armenia, Sci Council Japan, World Acad Sci, European Acad Sci Arts & Letters, Acad Sci Maldova, Montenegrin Acad Sci & Arts, Croatian Acad Sci & Arts, Georgian Natl Acad Sci, Acad Fine Arts & Design Bratislava, Turkish Acad Sci, Bulgarian Ind Assoc, Bulgarian Minist Environ & Water
DE urbanization; climate change; biotope mapping; soil permeability; small
   urban streams
ID URBAN LAND-USE
AB No matter how unstoppable as a consequence of global phenomenon of the 20th and 21' century and in many aspects positive, urbanization brings numerous negative impacts on the environment. Land alternations have broader impacts related to the overall pollution in urban and suburban environment, increased energy consumption, degradation of agricultural and forest land, changes in water regime and microclimate, and to the actual climate change.
   Particularly sensitive areas are small urban streams, which have been treated for decades more as a problems and barriers, and not as a unique value which would be able to contribute to the quality of the city life if treated in a sustainable manner. The examples of this approach could be found in many of the small streams of Belgrade, the capital of Serbia, while the present situation of the KumodraZ stream catchment is the prominent one.
   In order to present the current state of land use in the KumodraZ stream watershed, and to draw attention to the needs for monitoring of land use change, authors conducted the research on the modification trends in the basin for two sections within the 10 years period. Database of the Belgrade biotope was used as the main source of information, along with the field verification of the current situation and land use modification between 2003 and 2012. Comparing the data using GIS, dramatic change trends in the basin was observed, directing to the anticipation of possible scenarios of the watershed development, which is given in the discussion.
C1 [Tutundzic, Andreja; Cvejic, Jasminka; Bobic, Aleksandar; Radulovic, Stojanka] Univ Belgrade, Fac Forestry, Dept Landscape Architecture & Hort, Belgrade 11001, Serbia.
C3 University of Belgrade
RP Tutundzic, A (corresponding author), Univ Belgrade, Fac Forestry, Dept Landscape Architecture & Hort, Belgrade 11001, Serbia.
RI Bobic, Aleksandar/N-3719-2015
CR Antrop M, 2004, LANDSCAPE URBAN PLAN, V67, P9, DOI 10.1016/S0169-2046(03)00026-4
   Arnold CL, 1996, J AM PLANN ASSOC, V62, P243, DOI 10.1080/01944369608975688
   Cvejic J., 2000, NASELJA SRBIJI 21 VE, P53
   Despotovic J., 2009, ZBORN RAD K MED SUDJ, P118
   Elvidge CD, 2007, SENSORS-BASEL, V7, P1962, DOI 10.3390/s7091962
   Hall M. J., 1977, AHS PUBLICATION, V123
   Nelson KC, 2009, J APPL ECOL, V46, DOI 10.1111/j.1365-2664.2008.01599.x
   Nuissl H, 2009, LAND USE POLICY, V26, P414, DOI 10.1016/j.landusepol.2008.05.006
   Pauleit S, 2005, LANDSCAPE URBAN PLAN, V71, P295, DOI 10.1016/j.landurbplan.2004.03.009
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Scalenghe R, 2009, LANDSCAPE URBAN PLAN, V90, P1, DOI 10.1016/j.landurbplan.2008.10.011
   Tutundzic A., 2010, GLASNIK SUMARSKOG FA, V101, P163
NR 12
TC 0
Z9 0
U1 0
U2 3
PU STEF92 TECHNOLOGY LTD
PI SOFIA
PA 1 ANDREY LYAPCHEV BLVD, SOFIA, 1797, BULGARIA
SN 1314-2704
BN 978-619-7105-43-8
J9 INT MULTI SCI GEOCO
PY 2015
BP 471
EP 478
PG 8
WC Construction & Building Technology; Geosciences, Multidisciplinary;
   Nanoscience & Nanotechnology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Geology; Science & Technology -
   Other Topics
GA BE4DX
UT WOS:000371602600061
DA 2025-01-10
ER

PT J
AU Furusawa, T
   Naka, I
   Yamauchi, T
   Natsuhara, K
   Eddie, R
   Kimura, R
   Nakazawa, M
   Ishida, T
   Inaoka, T
   Matsumura, Y
   Ataka, Y
   Ohtsuka, R
   Ohashi, J
AF Furusawa, Takuro
   Naka, Izumi
   Yamauchi, Taro
   Natsuhara, Kazumi
   Eddie, Ricky
   Kimura, Ryosuke
   Nakazawa, Minato
   Ishida, Takafumi
   Inaoka, Tsukasa
   Matsumura, Yasuhiro
   Ataka, Yuji
   Ohtsuka, Ryutaro
   Ohashi, Jun
TI Hypertension-susceptibility gene prevalence in the Pacific Islands and
   associations with hypertension in Melanesia
SO JOURNAL OF HUMAN GENETICS
LA English
DT Article
DE blood pressure; C825T; G-217A; G-6A M235T
ID AFFECTS BASAL TRANSCRIPTION; BLOOD-PRESSURE REGULATION; ANGIOTENSINOGEN
   GENE; SOLOMON-ISLANDS; NATURAL-SELECTION; POLYMORPHISMS; RISK;
   POPULATIONS; DETERMINANTS; METAANALYSIS
AB Human essential hypertension is partly caused by genetic factors. Angiotensinogen (AGT), G-protein beta 3-subunit (GNB3) and cytochrome P450 3A5 (CYP3A5) are candidate hypertension susceptibility genes and risk alleles at these loci have been thought to arise owing to human adaptation to climatic changes following the migration out-of-Africa. This study aimed to reveal the frequencies of hypertension-susceptibility genotypes in Pacific Island populations and associations of these single-nucleotide polymorphisms (SNPs) to hypertension. Genotyping was conducted for 804 individuals from Melanesian, Micronesian and Polynesian populations at SNPs in the genes encoding AGT (rs699, rs5049 and rs5051), GNB3 (rs5443) and CYP3A5*1/*3 (rs776746). Associations between these SNPs and hypertension were tested for 383 Melanesian Solomon Islanders. We found that the A/A genotype at rs5049 was a risk factor for hypertension (P = 0.025) in the Melanesian Solomon Islanders; three SNPs for AGT were in linkage disequilibrium. The ancestral alleles of rs699, rs5051 and rs776746, and the derived allele of rs5443 were as frequent in the populations surveyed here as in other equatorial populations. Although other polymorphisms associated with hypertension and additional populations remain to be studied, these findings suggest that the Pacific Islanders' susceptibility to hypertension arose because of human migration and adaptation. Journal of Human Genetics (2013) 58, 142-149; doi:10.1038/jhg.2012.147; published online 17 January 2013
C1 [Furusawa, Takuro] Kyoto Univ, Grad Sch Asian & African Area Studies, Kyoto 6068501, Japan.
   [Naka, Izumi; Ohashi, Jun] Univ Tsukuba, Grad Sch Comprehens Human Sci, Doctoral Program Life Syst Med Sci, Ibaraki, Japan.
   [Yamauchi, Taro] Hokkaido Univ, Grad Sch Hlth Sci, Sapporo, Hokkaido 060, Japan.
   [Natsuhara, Kazumi] Japanese Red Cross Akita Coll Nursing, Akita, Japan.
   [Eddie, Ricky] Natl Gizo Hosp, Minist Hlth & Med Serv, Gizo, Solomon Islands.
   [Kimura, Ryosuke] Univ Ryukyus, TRO SIS, Nishihara, Okinawa 90301, Japan.
   [Nakazawa, Minato] Kobe Univ, Grad Sch Hlth Sci, Dept Int Hlth, Kobe, Hyogo 657, Japan.
   [Ishida, Takafumi] Univ Tokyo, Grad Sch Sci, Dept Sci Biol, Tokyo 113, Japan.
   [Inaoka, Tsukasa] Saga Univ, Fac Agr, Dept Human Ecol, Saga 840, Japan.
   [Matsumura, Yasuhiro] Bunkyo Univ, Fac Hlth & Nutr, Kanagawa, Japan.
   [Ataka, Yuji] Kwansei Gakuin Univ, Sch Policy Studies, Hyogo, Japan.
   [Ohtsuka, Ryutaro] Japan Wildlife Res Ctr, Tokyo, Japan.
C3 Kyoto University; University of Tsukuba; Hokkaido University; University
   of the Ryukyus; Kobe University; University of Tokyo; Saga University;
   Kwansei Gakuin University
RP Furusawa, T (corresponding author), Kyoto Univ, Grad Sch Asian & African Area Studies, Sakyo Ku, Room AA431,Res Bldg 2, Kyoto 6068501, Japan.
EM takuro.f@gmail.com; juno-tky@umin.ac.jp
RI OHASHI, JUN/G-5907-2015; Kimura, Ryosuke/B-3354-2015; NAKA,
   IZUMI/G-5495-2015
FU Ministry of Education, Culture, Sports, Science and Technology, Japan;
   Christian Fellowship Church of the Solomon Islands; Grants-in-Aid for
   Scientific Research [23657170, 22687023, 21247039, 22370084, 23650476]
   Funding Source: KAKEN
FX This study was financially supported by the KAKENHI Grant-in-Aid for
   Scientific Research of the Ministry of Education, Culture, Sports,
   Science and Technology, Japan. We thank the people of the Solomon
   Islands, Tonga and Papua New Guinea for their kind approval and support
   of our research. We also thank Dr Taniela Palu, at the Diabetes Clinic;
   Dr Viliami Tangi, the former Minister of Health for the Kingdom of
   Tonga; and Prof Kazumichi Katayama, at Kyoto University for their
   cooperation in the study of the Tongan populations. We also thank the
   chiefs; elders; and church leaders; especially Sir Ikan Rove of the
   Christian Fellowship Church of the Solomon Islands; and staff of the
   National Gizo Hospital and Helena Goldie Hospital for their help with
   the surveys in the Solomon Islands. We are also grateful to the
   Department of Human Ecology at the University of Tokyo, Japan.
CR Afridi I, 2003, J HYPERTENS, V21, P1983, DOI 10.1097/01.hjh.0000084751-37215.d2
   Aswani S, 1999, HUM ECOL, V27, P417, DOI 10.1023/A:1018727607651
   Bochud M, 2006, J HYPERTENS, V24, P923, DOI 10.1097/01.hjh.0000222763.84605.4a
   Brand E, 1999, HYPERTENSION, V33, P1175, DOI 10.1161/01.HYP.33.5.1175
   CAULFIELD M, 1995, J CLIN INVEST, V96, P687, DOI 10.1172/JCI118111
   CAULFIELD M, 1994, NEW ENGL J MED, V330, P1629, DOI 10.1056/NEJM199406093302301
   DIAMOND JM, 1988, NATURE, V336, P307, DOI 10.1038/336307a0
   EASON RJ, 1987, MED J AUSTRALIA, V146, P465, DOI 10.5694/j.1326-5377.1987.tb120359.x
   Friedlaender JS, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.0040019
   Fujimoto A, 2008, HUM MOL GENET, V17, P835, DOI 10.1093/hmg/ddm355
   Furusawa T, 2011, NEW ZEAL MED J, V124, P17
   Furusawa T, 2011, AM J HUM BIOL, V23, P435, DOI 10.1002/ajhb.21124
   Furusawa T, 2010, HUM GENET, V127, P287, DOI 10.1007/s00439-009-0768-9
   Ghazali DM, 2008, CLIN CHIM ACTA, V388, P46, DOI 10.1016/j.cca.2007.10.002
   Givens RC, 2003, J APPL PHYSIOL, V95, P1297, DOI 10.1152/japplphysiol.00322.2003
   HATA A, 1994, J CLIN INVEST, V93, P1285, DOI 10.1172/JCI117083
   Huang XH, 2003, J MOL MED, V81, P729, DOI 10.1007/s00109-003-0482-3
   Huyghe JR, 2011, EUR J HUM GENET, V19, P347, DOI 10.1038/ejhg.2010.179
   Inoue I, 1997, J CLIN INVEST, V99, P1786, DOI 10.1172/JCI119343
   Izawa H, 2003, HYPERTENSION, V41, P1035, DOI 10.1161/01.HYP.0000065618.56368.24
   JEUNEMAITRE X, 1992, CELL, V71, P169, DOI 10.1016/0092-8674(92)90275-H
   Kato N, 1999, J HYPERTENS, V17, P757, DOI 10.1097/00004872-199917060-00006
   Kimura R, 2008, MOL BIOL EVOL, V25, P1750, DOI 10.1093/molbev/msn128
   Langaee TY, 2007, CLIN PHARMACOL THER, V81, P386, DOI 10.1038/sj.clpt.6100090
   Marteau JB, 2005, J HYPERTENS, V23, P2127, DOI 10.1097/01.hjh.0000186024.12364.2e
   Naka I, 2012, ANTHROPOL SCI, V120, P151, DOI 10.1537/ase.110901
   Nakajima T, 2004, AM J HUM GENET, V74, P898, DOI 10.1086/420793
   Natsuhara K, 2000, AM J HUM BIOL, V12, P655, DOI 10.1002/1520-6300(200009/10)12:5<655::AID-AJHB11>3.0.CO;2-X
   NEEL JV, 1962, AM J HUM GENET, V14, P353
   Ohashi J, 2007, J HUM GENET, V52, P1031, DOI 10.1007/s10038-007-0198-2
   Ohashi J, 2006, J HUM GENET, V51, P407, DOI 10.1007/s10038-006-0375-8
   Oppenheimer SJ, 2001, NATURE, V410, P166, DOI 10.1038/35065520
   PAGE LB, 1974, CIRCULATION, V49, P1132, DOI 10.1161/01.CIR.49.6.1132
   Pereira TV, 2008, HYPERTENSION, V51, P778, DOI 10.1161/HYPERTENSIONAHA.107.100370
   Siffert W, 1998, NAT GENET, V18, P45, DOI 10.1038/ng0198-45
   Snapir A, 2001, J HYPERTENS, V19, P2149, DOI 10.1097/00004872-200112000-00006
   Thompson EE, 2004, AM J HUM GENET, V75, P1059, DOI 10.1086/426406
   Voight BF, 2005, PLOS GENET, V1, P302, DOI 10.1371/journal.pgen.0010032
   Watson RE, 2009, J CLIN HYPERTENS, V11, P148, DOI 10.1111/j.1751-7176.2009.00088.x
   Weiner JS., 1981, Practical Human Biology
   Wu DM, 2001, EUR J EPIDEMIOL, V17, P911, DOI 10.1023/A:1016280427032
   Wu SJ, 2003, J HYPERTENS, V21, P2061, DOI 10.1097/00004872-200311000-00015
   Young JH, 2007, CURR HYPERTENS REP, V9, P13, DOI 10.1007/s11906-007-0004-8
   Young JH, 2005, PLOS GENET, V1, P730, DOI 10.1371/journal.pgen.0010082
NR 44
TC 7
Z9 10
U1 0
U2 9
PU NATURE PUBLISHING GROUP
PI NEW YORK
PA 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA
SN 1434-5161
EI 1435-232X
J9 J HUM GENET
JI J. Hum. Genet.
PD MAR
PY 2013
VL 58
IS 3
BP 142
EP 149
DI 10.1038/jhg.2012.147
PG 8
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 112SH
UT WOS:000316613100006
PM 23324949
OA Bronze
DA 2025-01-10
ER

PT J
AU Schultz, CB
   Henry, E
   Carleton, A
   Hicks, T
   Thomas, R
   Potter, A
   Collins, M
   Linders, M
   Fimbel, C
   Black, S
   Anderson, HE
   Diehl, G
   Hamman, S
   Gilbert, R
   Foster, J
   Hays, D
   Wilderman, D
   Davenport, R
   Steel, E
   Page, N
   Lilley, PL
   Heron, J
   Kroeker, N
   Webb, C
   Reader, B
AF Schultz, Cheryl B.
   Henry, Erica
   Carleton, Alexa
   Hicks, Tyler
   Thomas, Rhiannon
   Potter, Ann
   Collins, Michele
   Linders, Mary
   Fimbel, Cheryl
   Black, Scott
   Anderson, Hannah E.
   Diehl, Grace
   Hamman, Sarah
   Gilbert, Rod
   Foster, Jeff
   Hays, Dave
   Wilderman, David
   Davenport, Roberta
   Steel, Emily
   Page, Nick
   Lilley, Patrick L.
   Heron, Jennifer
   Kroeker, Nicole
   Webb, Conan
   Reader, Brian
TI Conservation of Prairie-Oak Butterflies in Oregon, Washington, and
   British Columbia
SO NORTHWEST SCIENCE
LA English
DT Article
ID PACIFIC-NORTHWEST PRAIRIES; WILLAMETTE VALLEY; INVASIVE PLANTS;
   RESTORATION; MANAGEMENT; FIRE; HERBICIDE; HABITAT; BIOLOGY; COMMUNITIES
AB Prairie-oak butterfly species in the Willamette Valley-Puget Trough-Georgia Basin (WPG) ecosystem have declined dramatically due to widespread habitat degradation and loss of prairie-oak ecosystems in the region. Conservation of prairie-oak butterflies offers unique opportunities and special challenges. Here we provide an overview of butterfly conservation in WPG prairies. We begin with a review of the status of at-risk butterfly species in the region, an introduction to five species that are the focus of current conservation efforts: Fender's blue (Icaricia icarioides fenderi), Taylor's checkerspot (Euphydryas editha taylori), mardon skipper (Polites mardon), island marble (Euchloe ausonides insulanus), and Oregon silverspot (Speyeria zerene hippolyta), and a brief review of 10 additional at-risk butterfly species in the ecoregion. We follow with a discussion of three key threats (habitat loss and fragmentation, invasive species, and lack of appropriate disturbance) and four dominant management approaches (fire, herbicides, mowing, and habitat restoration). We discuss current challenges and emerging issues for these species, and focus on invasive species management, understanding basic biology, conserving multiple species, and adapting to climate change. We highlight several success stories from around the region. We conclude that butterfly biologists and land managers in the WPG are in a unique position to conserve the region's threatened prairie butterflies. Facilitating greater communication across the region through organizations such the Cascadia Prairie-Oak Partnership will assist in recovery of the WPG's threatened, endangered and at-risk butterfly species.
C1 [Schultz, Cheryl B.; Henry, Erica; Carleton, Alexa; Hicks, Tyler; Thomas, Rhiannon] Washington State Univ, Vancouver, WA 98686 USA.
   [Potter, Ann; Linders, Mary] Washington Dept Fish & Wildlife, Olympia, WA 98501 USA.
   [Collins, Michele] Oregon Fish & Wildlife Off, Portland, OR 97266 USA.
   [Fimbel, Cheryl; Anderson, Hannah E.; Diehl, Grace; Hamman, Sarah] Nat Conservancy Washington, Olympia, WA 98501 USA.
   [Black, Scott] Xerces Soc Invertebrate Conservat, Portland, OR 97215 USA.
   [Gilbert, Rod; Foster, Jeff] Joint Base Lewis McChord, Environm Div, IMNW LEW PWE MS17, Ft Lewis, WA 98433 USA.
   [Wilderman, David; Davenport, Roberta] Washington State Dept Nat Resources, Olympia, WA 98504 USA.
   [Steel, Emily] City Eugene, Pk & Open Space Div, Eugene, OR 97402 USA.
   [Page, Nick; Lilley, Patrick L.] Raincoast Appl Ecol, Vancouver, BC V6J 1H3, Canada.
   [Heron, Jennifer] BC Minist Environm, Vancouver, BC V6T 1Z4, Canada.
   [Kroeker, Nicole; Webb, Conan; Reader, Brian] Pk Canada Agcy, Victoria, BC V8W 1E2, Canada.
C3 Washington State University; Washington Department of Fish & Wildlife
   (WDFW); Nature Conservancy
RP Schultz, CB (corresponding author), Washington State Univ, 14204 NE Salmon Creek Ave, Vancouver, WA 98686 USA.
EM schultzc@vancouver.wsu.edu
RI Page, Nick/IUQ-5527-2023
OI Schultz, Cheryl/0000-0003-3388-8950
FU Washington State University Vancouver
FX A great number of people contributed to this manuscript. We thank the
   following people for their communications: Christopher Davis, Amy
   Lambert, Jon Pelham, Robert M. Pyle, Dana Ross, Paul Severns, and Andrew
   Warren. In addition, we thank Washington State University Vancouver for
   support while writing this manuscript. We also thank Peter Dunwiddie and
   two anonymous reviewers for helpful comments on earlier versions of this
   manuscript.
CR Agee JK, 1996, WEED TECHNOL, V10, P417, DOI 10.1017/S0890037X00040161
   Alverson E. R., 2006, USE PRESCRIBED FIRE
   [Anonymous], RESTORATION MANAGEME
   [Anonymous], 1998, IUCN GUID REINTR
   [Anonymous], 2005, RED LIST POLLINATOR
   [Anonymous], ECOL RESTOR
   [Anonymous], 1995, 28 NAT BIOL SERV
   [Anonymous], REC PLAN PRAIR SPEC
   Bakker JD, 2004, J APPL ECOL, V41, P1058, DOI 10.1111/j.0021-8901.2004.00962.x
   BC Conservation Data Center, 2010, B C SPEC EC EXPL
   Black S. H., 2010, REPORT US FOREST SER
   BOGGS CL, 1993, ECOLOGY, V74, P433, DOI 10.2307/1939305
   BOWERS MD, 1983, J CHEM ECOL, V9, P475, DOI 10.1007/BF00990220
   BOYD R, 1986, Canadian Journal of Anthropology, V5, P65
   Buhler DD, 2002, WEED SCI, V50, P273, DOI 10.1614/0043-1745(2002)050[0273:AIAAOF]2.0.CO;2
   Chappell C., 2001, Conservation of Washington's Rare Plants and Ecosystems, P124
   Chramiec M., 2004, 2004 FIELD REPORT MA
   Clark D., 2004, CONTROL BRACHYPODIUM
   Clark DL, 2001, WETLANDS, V21, P135, DOI 10.1672/0277-5212(2001)021[0135:FMAHRO]2.0.CO;2
   CLEMENTS DR, 1994, PHYTOPROTECTION, V75, P1, DOI 10.7202/706048ar
   Committee on the Status of Endangered Wildlife in Canada (COSEWIC), 2000, STAT REP TAYL CHECK
   Crawford R.C., 1997, Ecology and conservation of the south puget sound prairie landscape, VFirst, P11
   Crone EE, 2007, BIOL CONSERV, V139, P103, DOI 10.1016/j.biocon.2007.06.007
   Crone EE, 2009, J APPL ECOL, V46, P673, DOI 10.1111/j.1365-2664.2009.01635.x
   CUSHMAN JH, 1994, OECOLOGIA, V99, P194, DOI 10.1007/BF00317101
   Dennehy C, 2011, NORTHWEST SCI, V85, P329, DOI 10.3955/046.085.0219
   Dornfeld EJ., 1980, The Butterflies of Oregon
   Dunn P., 1997, Ecology and Conservation of the South Puget Sound Prairie Landscape
   Dunwiddie P.W., 2006, DAVIDSONIA, V17, P51
   Fazzino L, 2011, NORTHWEST SCI, V85, P352, DOI 10.3955/046.085.0220
   Fitzpatrick G. S., 2005, 2004 STATUS FENDERS
   Fitzpatrick G. S., 2009, 2009 STATUS FE UNPUB
   Fleckenstein J., 1999, 1997, 1998 project summary Puget prairie butterfly surveys
   Forister ML, 2003, GLOBAL CHANGE BIOL, V9, P1130, DOI 10.1046/j.1365-2486.2003.00643.x
   Giles-Johnson D. E. L., 2009, LUPINUS SULPHUREUS S
   Groom MarthaJ., 2006, Principles of Conservation Biology, V3rd
   Guppy C.S., 2001, BUTTERFLIES BRIT COL
   Hamman ST, 2011, NORTHWEST SCI, V85, P317, DOI 10.3955/046.085.0218
   Hammond P. C., 2009, 2009 REPORT RESPONSE
   Hanson T., 2010, Surveys for Island Marble Butterfly (Euchloe ausonides insulanus) in San Juan County, Washington, 2009
   Hanson T., 2009, Surveys for the Island Marble butterfly (Euchloe ausonides insulanus) in San Juan County, Washington, 2008
   Hays D., 1999, HABITAT RESTORATION
   Hays DW, 2000, CRITICAL HABITAT COM
   Henry E., 2010, THESIS WASHINGTON ST
   HERKERT JR, 1994, NAT AREA J, V14, P128
   Hill JK, 2002, P ROY SOC B-BIOL SCI, V269, P2163, DOI 10.1098/rspb.2002.2134
   Hinchcliff J., 1996, DISTRIBUTION BUTTERF
   HUNTLY N, 1988, BIOSCIENCE, V38, P786, DOI 10.2307/1310788
   JOHANNESSEN CL, 1971, ANN ASSOC AM GEOGR, V61, P286, DOI 10.1111/j.1467-8306.1971.tb00783.x
   Kaye T. N., 2005, KINCAIDS LUPINE FEND
   Kuussaari M, 2004, ON THE WINGS OF CHECKERSPOTS: A MODEL SYSTEM FOR POPULATION BIOLOGY, P138
   LaBar C. C., 2011, NATURAL ARE IN PRESS
   Lawler JJ, 2006, GLOBAL CHANGE BIOL, V12, P1568, DOI 10.1111/j.1365-2486.2006.01191.x
   Lea T., 2006, DAVIDSONIA, P34
   Linders M., 2007, CAPTIVE REARING METH
   Linders M., 2007, 2006 2007 ANN REPORT
   MacDougall AS, 2005, ECOLOGY, V86, P42, DOI 10.1890/04-0669
   Maret MP, 2005, RESTOR ECOL, V13, P562, DOI 10.1111/j.1526-100X.2005.00071.x
   McIntire EJB, 2007, J APPL ECOL, V44, P725, DOI 10.1111/j.1365-2664.2007.01326.x
   MILLER WE, 1979, ENTOMOLOGICAL SOC B, V25, P147
   Miskelly J., 2005, 2005 surveys for Island Marble butterfly (Euchloe ausonides insulanus) in northern coastal Washington
   MOORE SD, 1989, ECOLOGY, V70, P1726, DOI 10.2307/1938107
   Mote Philip., 2005, SCENARIOS FUTURE CLI
   Oates MR, 1990, REV BUTTERFLY INTRO
   Page N., 2009, DISTRIBUTION HABITAT
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Parmesan Camille, 2005, P56
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Patterson J. M., 2009, OREGON SILVERS UNPUB
   Pelham Jonathan P., 2008, Journal of Research on the Lepidoptera, V40
   Peterson M., 2010, MONITORING PLAN ISLA
   Peterson M. A., 2008, POPULATION ECOLOGY I
   PICKERING D, 1992, POPULATION DYNAMICS
   Pickering D. L., 2010, ENHANCEMENT SURVIVAL
   Polster D. F., 2006, RESTORING PACIFIC NW, P374
   Potter A., 2011, Surveys for the island marble butterfly (Euchloe ausonides insulanus) in San Juan County, Washington, 2010
   Potter A., 1999, WASHINGTON STATE STA
   Pyle R.M., 2004, The butterflies of San Juan Island National Historic Park
   Pyle R.M., 2002, The Butterflies of Cascadia, V1
   Ramsey FL, 2010, ENVIRON ECOL STAT, V17, P97, DOI 10.1007/s10651-008-0103-y
   Rice PM, 1997, J APPL ECOL, V34, P1397, DOI 10.2307/2405257
   Roy DB, 2000, GLOB CHANGE BIOL, V6, P407, DOI 10.1046/j.1365-2486.2000.00322.x
   Russell C, 2010, J INSECT CONSERV, V14, P53, DOI 10.1007/s10841-009-9224-3
   Schultz CB, 2003, NAT AREA J, V23, P61
   Schultz CB, 1998, RESTOR ECOL, V6, P244, DOI 10.1046/j.1526-100X.1998.00637.x
   Schultz CB, 2001, J APPL ECOL, V38, P1007, DOI 10.1046/j.1365-2664.2001.00659.x
   Schultz CB, 2008, ISR J ECOL EVOL, V54, P41, DOI 10.1560/IJEE.54.1.41
   Schultz CB, 2008, ISR J ECOL EVOL, V54, P63, DOI 10.1560/IJEE.54.1.63
   Schultz Cheryl B., 1998, P228
   Severns PM, 2008, ANIM CONSERV, V11, P476, DOI 10.1111/j.1469-1795.2008.00203.x
   Severns P. M., 2009, FERN RIDGE FEN UNPUB
   Severns P. M., 2009, TAYLORS CHECKERSPOT
   Severns PM, 2008, J INSECT CONSERV, V12, P651, DOI 10.1007/s10841-007-9101-x
   Severns PM, 2006, J INSECT CONSERV, V10, P361, DOI 10.1007/s10841-006-9011-3
   Severns PM, 2009, J LEPID SOC, V63, P83
   Severns PM, 2005, NORTHWEST SCI, V79, P77
   Shepard J. H., 2000, WR101 BC MIN ENV LAN
   Simmons MT, 2007, RESTOR ECOL, V15, P662, DOI 10.1111/j.1526-100X.2007.00278.x
   Sinclair M., 2006, RESTORING PACIFIC NW, P29
   Singer MC, 2008, SPECIALIZATION, SPECIATION, AND RADIATION: THE EVOLUTIONARY BIOLOGY OF HERBIVOROUS INSECTS, P311
   Smart SM, 2000, J APPL ECOL, V37, P398, DOI 10.1046/j.1365-2664.2000.00508.x
   Stanley A. G., 2011, Ecological Restoration, V29, P35, DOI 10.3368/er.29.1-2.35
   Stanley AG, 2011, NORTHWEST SCI, V85, P233, DOI 10.3955/046.085.0212
   Stefanescu C, 2003, GLOBAL CHANGE BIOL, V9, P1494, DOI 10.1046/j.1365-2486.2003.00682.x
   Stinson D.W., 2005, Washington State status report for the Mazama pocket gopher, streaked horned lark, and Taylor's checkerspot
   Swengel AB, 2001, BIODIVERS CONSERV, V10, P1757, DOI 10.1023/A:1012051510584
   Thomas JA, 2009, SCIENCE, V325, P80, DOI 10.1126/science.1175726
   TOWLE JC, 1982, OREG HIST QUART, V83, P66
   U. S. Fish and Wildlife Service, 2001, OR SILV BUTT SPEYER
   US Fish and Wildlife Service, 2006, FED REGISTER, V71, P63861
   WALKER KA, 1988, BIOCHEM J, V254, P307, DOI 10.1042/bj2540307
   WARREN A.D., 2005, Lepidoptera of North America, V6
   WARREN SD, 1987, AGR ECOSYST ENVIRON, V19, P105, DOI 10.1016/0167-8809(87)90012-0
   Wilson MV, 2003, NAT AREA J, V23, P72
   Wilson MV, 2001, APPL VEG SCI, V4, P129, DOI 10.1111/j.1654-109X.2001.tb00243.x
   Wold EN, 2011, NORTHWEST SCI, V85, P269, DOI 10.3955/046.085.0215
   Wolford L., 2007, 2007 RANGE TRAINING
NR 117
TC 35
Z9 44
U1 0
U2 106
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 MAY
PY 2011
VL 85
IS 2
BP 361
EP 388
DI 10.3955/046.085.0221
PG 28
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 916ZL
UT WOS:000302141600021
OA Bronze
DA 2025-01-10
ER

PT J
AU Miyamoto, Y
   Griesbauer, HP
   Green, DS
AF Miyamoto, Yumiko
   Griesbauer, Hardy P.
   Green, D. Scott
TI Growth responses of three coexisting conifer species to climate across
   wide geographic and climate ranges in Yukon and British Columbia
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Tree-rings; Climate change; White spruce; Lodgepole pine; Subalpine fir;
   Forestry
ID SUB-ALPINE FIR; LASIOCARPA HOOK. NUTT.; HIGH-ELEVATION FORESTS;
   TREE-RING WIDTHS; RADIAL GROWTH; OLYMPIC-MOUNTAINS; ABIES-LASIOCARPA;
   LODGEPOLE PINE; WHITE SPRUCE; BOREAL FOREST
AB This work aimed to compare radial growth-climate relationships among three coexisting coniferous tree species across a wide geographic and climate range from southern British Columbia (BC) to central Yukon, Canada. Tree-ring data were collected from 20 mature stands of white spruce (Picea glauca), lodgepole pine (Pinus contorta var. latifolia), and subalpine fir (Abies lasiocarpa). Linear relationships between annual growth variation and monthly and seasonal climate were quantified with correlation and regression analyses, and variation in climate-growth responses over a climatic gradient were quantified by regressing growth responses against local mean climatic conditions. Temperatures had more consistent and stronger correlations with growth for all three species than precipitation, but growth-climate responses varied among species and among sites. In particular, pine and fir populations showed different responses between BC and Yukon, whereas spruce showed a more consistent response across the study domain. Results indicate that (1) the response and sensitivity of trees to seasonal climate variables vary among species and sites and (2) winter temperatures prior to growth may have significant impacts on pine and fir growth at some sites. The capacity to adapt to climate change will likely vary among the study species and across climatic gradients, which will have implications for the future management of mixed-species forests in Yukon and BC. (C) 2009 Elsevier B.V. All rights reserved.
C1 [Miyamoto, Yumiko; Griesbauer, Hardy P.; Green, D. Scott] Univ No British Columbia, Prince George, BC V2N 4Z9, Canada.
C3 University of Northern British Columbia
RP Griesbauer, HP (corresponding author), British Columbia Minist Forests & Range, 1011-4th Ave,5th Floor, Prince George, BC V2L 3H9, Canada.
EM hardy.griesbauer@gov.bc.ca
FU Natural Sciences and Engineering Research Council; British Columbia
   Forest Science Program
FX We thank Kasia Caputa, Emily Muller, and Kara Przeczek for their
   assistance in the field and laboratory. We also thank Dr. Greg O'Neill,
   Dr. Roger Wheate and Dr. Kathy Lewis for advice and constructive
   comments through all components of this study, and Gretchen Prystawik
   for review of this manuscript. This work was funded through the Natural
   Sciences and Engineering Research Council and the British Columbia
   Forest Science Program.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2001, TreeRing Research
   [Anonymous], 1979, PHYSL WOODY PLANTS
   [Anonymous], 2004, MEASUREJ2X
   [Anonymous], VELM TA SYST RES NON
   [Anonymous], 1990, AGR HDB
   [Anonymous], 1976, Tree Rings and Climate
   Barber VA, 2000, NATURE, V405, P668, DOI 10.1038/35015049
   Bazzaz F.A., 1987, COLONIZATION SUCCESS, P245
   Bertrand A, 2003, CAN J BOT, V81, P1145, DOI 10.1139/b03-129
   Brooks JR, 1998, CAN J FOREST RES, V28, P524, DOI 10.1139/cjfr-28-4-524
   Brooks KennethN., 1991, HYDROLOGY MANAGEMENT
   Carrer M, 2007, J ECOL, V95, P1072, DOI 10.1111/j.1365-2745.2007.01281.x
   Case MJ, 2007, NORTHWEST SCI, V81, P62, DOI 10.3955/0029-344X-81.1.62
   Cook E.R., 1986, USERS MANUAL PROGRAM
   Cook E.R. L.A. Kairiukstis., 2013, METHODS DENDROCHRONO
   COOK ER, 1991, CLIMATIC CHANGE, V19, P271, DOI 10.1007/BF00140166
   CWYNAR LC, 1991, ECOLOGY, V72, P202, DOI 10.2307/1938915
   D'Arrigo R, 2005, CLIM DYNAM, V24, P227, DOI 10.1007/s00382-004-0502-l
   D'Arrigo RD, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2004GB002249
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Danby RK, 2007, GLOBAL CHANGE BIOL, V13, P437, DOI 10.1111/j.1365-2486.2006.01302.x
   ETTL GJ, 1995, GLOBAL CHANGE BIOL, V1, P213, DOI 10.1111/j.1365-2486.1995.tb00023.x
   Ettl GJ, 2001, SILVAE GENET, V50, P145
   Goldblum D, 2005, CAN J FOREST RES, V35, P2709, DOI 10.1139/X05-185
   GRAUMLICH LJ, 1986, QUATERNARY RES, V25, P223, DOI 10.1016/0033-5894(86)90059-1
   Green DS, 2007, TREE PHYSIOL, V27, P1197, DOI 10.1093/treephys/27.8.1197
   Green DS, 2005, CAN J FOREST RES, V35, P910, DOI [10.1139/x05-015, 10.1139/X05-015]
   Hamrick JL, 2004, FOREST ECOL MANAG, V197, P323, DOI 10.1016/j.foreco.2004.05.023
   HANNINEN H, 2001, CONIFER COLD HARDINE
   He JS, 2005, TREES-STRUCT FUNCT, V19, P442, DOI 10.1007/s00468-004-0403-2
   Hofgaard A, 1999, CAN J FOREST RES, V29, P1333, DOI 10.1139/cjfr-29-9-1333
   Kirdyanov A, 2003, TREES-STRUCT FUNCT, V17, P61, DOI 10.1007/s00468-002-0209-z
   Knowles N, 2006, J CLIMATE, V19, P4545, DOI 10.1175/JCLI3850.1
   Korner C, 1998, OECOLOGIA, V115, P445, DOI 10.1007/s004420050540
   Kozlowski TT, 2002, BOT REV, V68, P270, DOI 10.1663/0006-8101(2002)068[0270:AAAROW]2.0.CO;2
   Kramer K, 2000, INT J BIOMETEOROL, V44, P67, DOI 10.1007/s004840000066
   Larocque S. J., 2005, Dendrochronologia, V22, P93, DOI 10.1016/j.dendro.2005.02.003
   LARSEN CPS, 1995, CAN J FOREST RES, V25, P1746, DOI 10.1139/x95-189
   Lebourgeois F, 2000, ANN FOR SCI, V57, P155
   Linderholm HW, 2001, SILVA FENN, V35, P415, DOI 10.14214/sf.574
   Littell JS, 2008, ECOL MONOGR, V78, P349, DOI 10.1890/07-0712.1
   Mäkinen H, 2002, FOREST ECOL MANAG, V171, P243, DOI 10.1016/S0378-1127(01)00786-1
   MAY RM, 1974, THEOR POPUL BIOL, V5, P297, DOI 10.1016/0040-5809(74)90055-0
   Millar CI, 2004, ARCT ANTARCT ALP RES, V36, P181, DOI 10.1657/1523-0430(2004)036[0181:ROSCIT]2.0.CO;2
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   *MWLAP, 2002, IND CLIM CHANG BRIT
   O'Neill GA, 2008, J APPL ECOL, V45, P1040, DOI 10.1111/j.1365-2664.2008.01472.x
   Oberhuber W, 2004, TREE PHYSIOL, V24, P291, DOI 10.1093/treephys/24.3.291
   Pederson Neil, 2004, Dendrochronologia, V22, P7, DOI 10.1016/j.dendro.2004.09.005
   PETERSON DW, 1994, CAN J FOREST RES, V24, P1921, DOI 10.1139/x94-247
   Peterson DW, 2002, CAN J FOREST RES, V32, P1503, DOI 10.1139/X02-072
   Peterson DW, 2001, ECOLOGY, V82, P3330, DOI 10.1890/0012-9658(2001)082[3330:MHGRTC]2.0.CO;2
   Pfeifer K, 2005, VEG HIST ARCHAEOBOT, V14, P211, DOI 10.1007/s00334-005-0001-2
   Savva Y, 2006, TREES-STRUCT FUNCT, V20, P735, DOI 10.1007/s00468-006-0088-9
   Spear RW, 1997, ARCTIC ALPINE RES, V29, P45, DOI 10.2307/1551835
   Spittlehouse DL, 2005, FOREST CHRON, V81, P691, DOI 10.5558/tfc81691-5
   Splechtna BE, 2000, ANN FOREST SCI, V57, P89
   St George S, 2001, CAN J FOREST RES, V31, P457, DOI 10.1139/cjfr-31-3-457
   Stohlgren TJ, 1997, ECOLOGY, V78, P632, DOI 10.1890/0012-9658(1997)078[0632:LPPCEI]2.0.CO;2
   Szeicz JM, 1997, CAN J FOREST RES, V27, P1003, DOI 10.1139/cjfr-27-7-1003
   VILLALBA R, 1994, ECOLOGY, V75, P1450, DOI 10.2307/1937468
   Walther GR, 2004, PERSPECT PLANT ECOL, V6, P169, DOI 10.1078/1433-8319-00076
   Wang T, 2006, INT J CLIMATOL, V26, P383, DOI 10.1002/joc.1247
   WHEELER NC, 1982, CAN J BOT, V60, P1805, DOI 10.1139/b82-227
   Wilmking M, 2004, GLOBAL CHANGE BIOL, V10, P1724, DOI 10.1111/j.1365-2486.2004.00826.x
   Wilson RJS, 2003, HOLOCENE, V13, P851, DOI 10.1191/0959683603hl663rp
   Xie CY, 1995, CAN J FOREST RES, V25, P2010, DOI 10.1139/x95-217
   YAMAGUCHI DK, 1991, CAN J FOREST RES, V21, P414, DOI 10.1139/x91-053
   Zolbrod AN, 1999, CAN J FOREST RES, V29, P1966, DOI 10.1139/cjfr-29-12-1966
   [No title captured]
NR 72
TC 49
Z9 61
U1 1
U2 84
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD JAN 25
PY 2010
VL 259
IS 3
BP 514
EP 523
DI 10.1016/j.foreco.2009.11.008
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 548SG
UT WOS:000273986000032
DA 2025-01-10
ER

PT J
AU Gentle, P
   Mainaly, J
AF Gentle, Popular
   Mainaly, Jony
TI Commitment, actions, and challenges on locally led climate change
   adaptation in Nepal
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Locally led adaptation; Climate change; Vulnerability; Nepal
ID COMMUNITY-BASED ADAPTATION; IMPACTS; HILLS
AB Nepal has more than a decade of experience in formulating and implementing climate change policies, plans, frameworks, and institutional mechanisms for local adaptation. Drawing upon this experience, this research aims to elucidate the existing policies, institutional commitments and capacity that underpin local adaptation. Furthermore, it seeks to delineate the mechanism through which these commitments are translated into action fostering empowerment of poor and vulnerable communities for locally led adaptation (LLA). Our research involved a comprehensive review of major policies and legal and procedural documents related to climate change adaptation. We analyzed Local Adaptation Plans for Action (LAPA), carried out in-depth interviews with frontline actors and a participant observation and focus group discussions with LAPA communities. The research features that despite a strong policy commitment, adaptation in Nepal is struggling with institutional barriers, contested interest between key authorities, limited capacity, and unequal distribution of resources to support LLA. The LAPA analysis shows the priorities and investment plans are mostly intended to continue business as usual practices addressing biophysical and natural hazards rather than properly understanding and addressing underlying, pre-existing, and structural causes of vulnerabilities. Notwithstanding the established evidence about differential impacts of climate change, the response mechanisms have exhibited limited realization of this knowledge. Future trajectory of LLA in Nepal hinges on the proactive efforts of the government to reform institutional and fund flow mechanisms, capacity, commitment, and a changing mindset for the devolution of decision making at the local level and making a substantial progress in climate financing.
C1 [Gentle, Popular] Charles Sturt Univ, Gulbali Inst Agr Water & Environm, POB 789, Albury, NSW 2640, Australia.
   [Gentle, Popular; Mainaly, Jony] Clim Adapt, Kathmandu, Nepal.
C3 Charles Sturt University
RP Gentle, P (corresponding author), Charles Sturt Univ, Gulbali Inst Agr Water & Environm, POB 789, Albury, NSW 2640, Australia.; Gentle, P (corresponding author), Clim Adapt, Kathmandu, Nepal.
EM pgentle@csu.edu.au; jonymainaly@gmail.com
RI Gentle, Popular/P-8488-2019
OI Gentle, Popular/0000-0001-7342-5120
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Amorim-Maia AT, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101053
   [Anonymous], 2011, National Framework on Local Adaptation Plans for Action
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Azhoni A, 2024, MITIG ADAPT STRAT GL, V29, DOI 10.1007/s11027-024-10156-y
   Climate Policy Initiative Global Center on Adaptation, 2023, State and trends in climate adaptation finance 2023
   Coger T., 2022, Locally Led Adaptation: From Principles to Practice, DOI DOI 10.46830/WRIWP.21.00142
   Coger T., 2022, Working
   CPI, 2023, Global landscape of climate finance 2023
   Cuffe S., 2021, Mongabay
   Darjee KB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313115
   Davis A., 2021, Territorial Finance: Empowering Grassroots Climate Action
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   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
   Fallon DSM, 2014, AUST GEOGR, V45, P221, DOI 10.1080/00049182.2014.899030
   Gentle P., 2017, Community Forestry in Nepal: Adapting to a Changing World
   Gentle P, 2018, CLIMATIC CHANGE, V147, P267, DOI 10.1007/s10584-017-2124-8
   Gentle P, 2014, NAT HAZARDS, V74, P815, DOI 10.1007/s11069-014-1218-0
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   GoN (Government of Nepal), 2021, Assessment of climate financing allocation: Unpacking eighty percent allocation to the local level
   GoN (Government of Nepal), 2019, Local adaptation plan of action (LAPA) framework
   GoN (Government of Nepal), 2015, The Fifteenth Plan (Fiscal Year 2019/20 - 2023/24)
   GoN (Government of Nepal), 2019, Climate change policy, 2076 (2019)
   Havukainen M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127391
   IIED (International Institute for Environment and Development), 2021, Join the endorsers of the locally led adaptation principles
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPCC, 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
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   Kane E., 2001, DOING YOUR OWN RES
   King N, 2010, Interviews in Qualitative Research
   Kirkby P, 2018, CLIM DEV, V10, P577, DOI 10.1080/17565529.2017.1372265
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nightingale A., 2015, Climate Change Adaptation and Development, P219
   Race D, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100503
   Rahman MF, 2023, AMBIO, DOI 10.1007/s13280-023-01884-7
   Soanes M., 2021, Principles for locally led adaptation: A call to action
   Springate-Baginski O., 2007, FORESTS PEOPLE POWER
   [Anonymous], 2010, SAGE HDB MIXED METHO, V2nd
   Tenzing JD, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.626
   USAID (United States Agency for International Development), 2021, What is locally led development? -Fact Sheet
   Vincent K, 2023, PROG HUM GEOG, V47, P604, DOI 10.1177/03091325231166076
   Westoby R, 2021, LOCAL ENVIRON, V26, P313, DOI 10.1080/13549839.2021.1884669
   Westoby R, 2020, AMBIO, V49, P1466, DOI 10.1007/s13280-019-01294-8
NR 44
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2024
VL 46
AR 100650
DI 10.1016/j.crm.2024.100650
EA SEP 2024
PG 13
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA F7R0M
UT WOS:001311734200001
OA gold
DA 2025-01-10
ER

PT J
AU Schoenefeld, JJ
   Hildén, M
   Schulze, K
   Sorvali, J
AF Schoenefeld, Jonas J.
   Hilden, Mikael
   Schulze, Kai
   Sorvali, Jaana
TI What motivates and hinders municipal adaptation policy? Exploring
   vertical and horizontal diffusion in Hessen and Finland
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change adaptation; Policy diffusion; Multilevel governance;
   Hessen; Germany; Finland; Municipality
ID CLIMATE-CHANGE ADAPTATION; CITIES; GOVERNANCE; NETWORKS; BARRIERS
AB Municipalities across the globe are seeking to adapt to increasing climate change impacts, such as heavy rainfall, drought, heat waves, and floods. An important question is how to support the diffusion of innovations in local adaptation policy-making. Responses often lack consideration of the diversity of municipalities and their varying needs and capacities. This article addresses this gap by analysing how internal and external motivations for and barriers to adaptation policy and diffusion vary across municipalities of different sizes in the federal State of Hessen in Germany and in Finland. Hessen and Finland have comparable population sizes and settlement structures, but their municipalities are embedded in different multilevel governance architectures and climatic geographies. The analysis builds on quantitative data from two independent surveys among Hessian and Finnish municipalities. The results show that while there are similarities and some differences among the motivations, with municipalities in Hessen focusing more on extreme weather events and Finnish municipalities more on well-being, the barriers are strikingly similar, focusing on lack of resources as well as unclear responsibilities of different governance levels and within municipalities. Size is an important factor determining the adaptation needs and capacities of municipalities in both surveys. The findings highlight the need for a clearer adaptation governance framework, support from the closest governance level and more resources, but also context-sensitive policy support that has been discussed in theory and practice.
C1 [Schoenefeld, Jonas J.] Inst Housing & Environm IWU, Rheinstr 65, D-64295 Darmstadt, Germany.
   [Schoenefeld, Jonas J.] Univ East Anglia, Tyndall Ctr Climate Change Res, Sch Environm Sci, Norwich, England.
   [Hilden, Mikael] Finnish Environm Inst, Latokartanonkaari 11, Helsinki 00790, Finland.
   [Schulze, Kai] Tech Univ Darmstadt, Inst Polit Sci, Residenzschloss 1, D-64283 Darmstadt, Germany.
   [Sorvali, Jaana] Nat Resources Inst Finland, Latokartanonkaari 9, Helsinki 00790, Finland.
C3 University of East Anglia; Finnish Environment Institute; Technical
   University of Darmstadt; Natural Resources Institute Finland (Luke)
RP Schulze, K (corresponding author), Tech Univ Darmstadt, Inst Polit Sci, Residenzschloss 1, D-64283 Darmstadt, Germany.
EM j.schoenefeld@iwu.de; Mikael.hilden@syke.fi; schulze@pg.tu-darmstadt.de;
   jaana.sorvali@luke.fi
RI ; Schulze, Kai/F-7534-2018
OI Hilden, Mikael/0000-0002-0668-7195; Schulze, Kai/0000-0001-8039-7295;
   Schoenefeld, Jonas Julian/0000-0002-9451-9174; Sorvali,
   Jaana/0000-0003-0371-7149
CR Amundsen H, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01834-7
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's Natural Capital. COM (2013) 249 final
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Bausch T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051894
   Benz A, 2021, POLICY CHANGE INNOVA, DOI [10.4337/9781788119177, DOI 10.4337/9781788119177]
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Blatter J, 2022, J EUR PUBLIC POLICY, V29, P805, DOI 10.1080/13501763.2021.1892801
   Bundesregierung, 2008, DTSCH ANP KLIM
   Butler WH, 2010, ECOL SOC, V15
   Cannon C, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02025-2
   Climate Alliance, 2023, EUR MUN PARTN IND PE
   Dannevig H, 2012, LOCAL ENVIRON, V17, P597, DOI 10.1080/13549839.2012.678317
   Dolsak N, 2018, ANNU REV ENV RESOUR, V43, P317, DOI 10.1146/annurev-environ-102017-025739
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   European Commission, 2021, COMM COMM EUR PARL C
   Harris A, 2018, EDUC RES POLICY PRAC, V17, P195, DOI 10.1007/s10671-018-9231-9
   Hasse J., 2019, Umfrage Wirkung der Deutschen Anpassungsstrategie (DAS) fur die Kommunen, Teilbericht
   Hauge ÅL, 2019, INT J CLIM CHANG STR, V11, P215, DOI 10.1108/IJCCSM-10-2017-0194
   HauSSler Simone, 2021, SN Soc Sci, V1, P262, DOI 10.1007/s43545-021-00267-7
   Hessisches Ministerium fur Umwelt Energie Landwirtschaft und Verbraucherschutz, 2012, STRAT ANP KLIM HESS
   Hilden M., 2022, Adaptation to Climate Change in Finland: Current State and Future Prospects, P61
   Hottinen A, 2022, KUNTALIITTO
   Iammarino S., 2017, Why Regional Development Mat-ters for Europe's Economic Future
   Karhinen S, 2021, GLOBAL ENVIRON CHANG, V67, DOI 10.1016/j.gloenvcha.2021.102225
   Kenkmann T, 2021, MUNICIPAL CLIMATE AC
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Kern K, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02020-z
   Kern K, 2019, ENVIRON POLIT, V28, P125, DOI 10.1080/09644016.2019.1521979
   Keskitalo C, 2013, WATER GOVERNANCE AS CONNECTIVE CAPACITY, P69
   Keskitalo ECH, 2016, CLIMATE, V4, DOI 10.3390/cli4010007
   Keskitalo ECH, 2009, POLAR RES, V28, P60, DOI 10.1111/j.1751-8369.2009.00097.x
   Key R, 2018, OVERCOMING ORG BARRI
   Klima-Kommunen, 2023, LERN HAND UNS ZUK
   Lee S, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100414
   Lesnikowski A, 2021, ENVIRON POLIT, V30, P753, DOI 10.1080/09644016.2020.1814045
   Maggetti M, 2016, J PUBLIC POLICY, V36, P87, DOI 10.1017/S0143814X1400035X
   Massey E, 2014, GLOBAL ENVIRON CHANG, V29, P434, DOI 10.1016/j.gloenvcha.2014.09.002
   Mattsson L, 2021, KUNTALIITTO
   Ministry of Agriculture and Forestry of Finland, 2005, FINL NAT STRAT AD CL
   Otto A, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03142-9
   Papin M, 2019, INT ENVIRON AGREEM-P, V19, P467, DOI 10.1007/s10784-019-09446-7
   Parliament of Finland, 2022, FINN CLIM LAW
   Patterson JJ, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102279
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Savikko R, 2009, KUNTALITTO
   Schoenefeld JJ, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.775
   Schulze K., 2022, F R VERGLEICHENDE PO, V15, P525, DOI [10.1007/s12286-021-00510-8, DOI 10.1007/S12286-021-00510-8]
   Siegmund A, 2023, KLIMATE ERDE NACH KO
   Simonet G, 2019, CLIMATIC CHANGE, V155, P621, DOI 10.1007/s10584-019-02484-9
   Slack E, 2013, MERGING MUNICIPALITI
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Ulvi T, 2022, YMPARISTOAMINSTIERON, V2022, P5
   United Nations Sustainable Development Group, 2023, UN VAL PRINC 2 LEAV
   Vogel B, 2020, ENVIRON DEV SUSTAIN, V22, P1633, DOI 10.1007/s10668-018-0242-8
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Weible C. M., 2018, Theories of the Policy Process
NR 57
TC 3
Z9 3
U1 2
U2 7
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 2023
VL 23
IS 2
AR 53
DI 10.1007/s10113-023-02048-9
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA F5OD5
UT WOS:000982829300002
OA hybrid
DA 2025-01-10
ER

PT J
AU Gray, LK
   Gylander, T
   Mbogga, MS
   Chen, PY
   Hamann, A
AF Gray, Laura K.
   Gylander, Tim
   Mbogga, Michael S.
   Chen, Pei-yu
   Hamann, Andreas
TI Assisted migration to address climate change: recommendations for aspen
   reforestation in western Canada
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE bioclimate envelope modeling; climate change; ecological genetics;
   reforestation; remote sensing; seed transfer guidelines; seed zones
ID NATURAL-RESOURCE MANAGEMENT; SPECIES DISTRIBUTION; FORESTS; FUTURE;
   GROWTH; PERFORMANCE; ADAPTATION; CHALLENGES; IMPACTS; DROUGHT
AB Human-aided movement of species populations in large-scale reforestation programs could be a potent and cost-effective climate change adaptation strategy. Such large-scale management interventions, however, tend to entail the risks of unintended consequences, and we propose that three conditions should be met before implementing assisted migration in reforestation programs: (1) evidence of a climate-related adaptational lag, (2) observed biological impacts, and (3) robust model projections to target assisted migration efforts. In a case study of aspen (Populus tremuloides Michaux.) we use reciprocal transplant experiments to study adaptation of tree populations to local environments. Second, we monitor natural aspen populations using the MODIS enhanced vegetation index as a proxy for forest health and productivity. Last, we report results from bioclimate envelope models that predict suitable habitat for locally adapted genotypes under observed and predicted climate change. The combined results support assisted migration prescriptions and indicate that the risk of inaction likely exceeds the risk associated with changing established management practices. However, uncertainty in model projections also implies that we are restricted to a relatively short 20-year planning horizon for prescribing seed movement in reforestation programs. We believe that this study exemplifies a safe and realistic climate change adaptation strategy based on multiple sources of information and some understanding of the uncertainty associated with recommendations for assisted migration. Ad hoc migration prescriptions without a similar level of supporting information should be avoided in reforestation programs.
C1 [Gray, Laura K.; Gylander, Tim; Mbogga, Michael S.; Chen, Pei-yu; Hamann, Andreas] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada.
C3 University of Alberta
RP Hamann, A (corresponding author), Univ Alberta, Dept Renewable Resources, 751 Gen Serv Bldg, Edmonton, AB T6G 2H1, Canada.
EM andreas.hamann@ualberta.ca
OI Hamann, Andreas/0000-0003-2046-4550; Gray, Laura/0000-0003-0477-2705
FU NSERC [CRDPJ 349100-06]
FX Advice and help for the remote sensing analysis by Nicholas Coops is
   greatly appreciated. For help with data collection, preparation, and
   analysis we thank Barb Thomas and Jean Brouard. Funding was provided by
   an NSERC/Industry Collaborative Development Grant CRDPJ 349100-06. We
   thank Alberta-Pacific Forest Industries, Ainsworth Engineered Canada LP,
   Daishowa-Marubeni International Ltd., Western Boreal Aspen Corporation,
   and Weyerhaeuser Company, Ltd. for their financial and in-kind support.
   Authors L. K. Gray, T. Gylander, and M. S. Mbogga contributed equally to
   this study.
CR [Anonymous], NAT REG SUBR ALB
   [Anonymous], 048 BRIT COL MIN FOR
   [Anonymous], MODIS FOR NACP DAT P
   [Anonymous], JOINT M W FOR GEN AS
   [Anonymous], ALB VEG INV VERS 2 1
   [Anonymous], 2008, SAS/STAT 9.2. Users guide
   [Anonymous], P C RAR PLANTS NO CA
   [Anonymous], PUBL ALB ENV T
   [Anonymous], EC MAPS GIS RES
   Araújo MB, 2006, J BIOGEOGR, V33, P1677, DOI 10.1111/j.1365-2699.2006.01584.x
   Baselga A, 2009, ECOGRAPHY, V32, P55, DOI 10.1111/j.1600-0587.2009.05856.x
   Bonsal BR, 2005, ATMOS OCEAN, V43, P163, DOI 10.3137/ao.430204
   Botkin DB, 2007, BIOSCIENCE, V57, P227, DOI 10.1641/B570306
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Chen PY, 2010, GLOBAL CHANGE BIOL, V16, P3374, DOI 10.1111/j.1365-2486.2010.02166.x
   Cutler DR, 2007, ECOLOGY, V88, P2783, DOI 10.1890/07-0539.1
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Gao F, 2008, IEEE GEOSCI REMOTE S, V5, P60, DOI 10.1109/LGRS.2007.907971
   Hamann A, 2005, AGR FOREST METEOROL, V128, P211, DOI 10.1016/j.agrformet.2004.10.004
   Hamann A, 2006, ECOLOGY, V87, P2773, DOI 10.1890/0012-9658(2006)87[2773:PEOCCO]2.0.CO;2
   Hampe A, 2004, GLOBAL ECOL BIOGEOGR, V13, P469, DOI 10.1111/j.1466-822X.2004.00090.x
   Hamrick JL, 2004, FOREST ECOL MANAG, V197, P323, DOI 10.1016/j.foreco.2004.05.023
   Hannah L, 2005, BIOSCIENCE, V55, P231, DOI 10.1641/0006-3568(2005)055[0231:TVFTCE]2.0.CO;2
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   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 EH, 2002, CAN J FOREST RES, V32, P823, DOI [10.1139/x01-152, 10.1139/X01-152]
   Hogg EHT, 2005, FOREST CHRON, V81, P675, DOI 10.5558/tfc81675-5
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Hunter ML, 2007, CONSERV BIOL, V21, P1356, DOI 10.1111/j.1523-1739.2007.00780.x
   Jönsson P, 2004, COMPUT GEOSCI-UK, V30, P833, DOI 10.1016/j.cageo.2004.05.006
   Kadmon R, 2003, ECOL APPL, V13, P853, DOI 10.1890/1051-0761(2003)013[0853:ASAOFA]2.0.CO;2
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   MANGOLD RD, 1978, SILVAE GENET, V27, P66
   Marris E, 2009, NATURE, V459, P906, DOI 10.1038/459906a
   Mbogga MS, 2010, J APPL ECOL, V47, P731, DOI 10.1111/j.1365-2664.2010.01830.x
   Mbogga MS, 2009, AGR FOREST METEOROL, V149, P881, DOI 10.1016/j.agrformet.2008.11.009
   McKenney D, 2009, FOREST CHRON, V85, P258, DOI 10.5558/tfc85258-2
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Meidinger D., 1991, ECOSYSTEMS BRIT COLU
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   Nakicenovic N., SPECIAL REPORT WORKI
   O'Neill GA, 2008, J APPL ECOL, V45, P1040, DOI 10.1111/j.1365-2664.2008.01472.x
   Parks CG, 2010, FOREST ECOL MANAG, V259, P657, DOI 10.1016/S0378-1127(09)00903-7
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   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]
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Ricciardi A, 2009, TRENDS ECOL EVOL, V24, P248, DOI 10.1016/j.tree.2008.12.006
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Selby C.J., 1996, NATL ECOLOGICAL FRAM
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   Wang T, 2006, INT J CLIMATOL, V26, P383, DOI 10.1002/joc.1247
   Woods A, 2005, BIOSCIENCE, V55, P761, DOI 10.1641/0006-3568(2005)055[0761:IAUDNB]2.0.CO;2
   Wulder MA, 2008, CAN J REMOTE SENS, V34, P549, DOI 10.5589/m08-066
   Ying CC, 2006, FOREST ECOL MANAG, V227, P1, DOI 10.1016/j.foreco.2006.02.028
NR 56
TC 135
Z9 151
U1 2
U2 124
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1051-0761
EI 1939-5582
J9 ECOL APPL
JI Ecol. Appl.
PD JUL
PY 2011
VL 21
IS 5
BP 1591
EP 1603
PG 13
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 792RF
UT WOS:000292766100013
PM 21830704
DA 2025-01-10
ER

PT J
AU Hazarika, R
   Lapin, K
   Bindewald, A
   Vaz, AS
   Marinsek, A
   La Porta, N
   Detry, P
   Berger, F
   Baric, D
   Simcic, A
   Vacik, H
AF Hazarika, Reneema
   Lapin, Katharina
   Bindewald, Anja
   Vaz, Ana Sofia
   Marinsek, Aleksander
   La Porta, Nicola
   Detry, Patricia
   Berger, Frederic
   Baric, Darja
   Simcic, Anica
   Vacik, Harald
TI Balancing Risks and Benefits: Stakeholder Perspective on Managing
   Non-Native Tree Species in the European Alpine Space
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate change adaptation; Ecosystem services; European Alpine Space;
   Invasiveness; Non-native trees; Perception
ID CLIMATE-CHANGE IMPACTS; ASSISTED MIGRATION; PERCEPTION; STRATEGIES;
   MANAGEMENT; INVASIONS; FORESTS; EASTERN
AB For centuries, non-native tree (NNT) species have been planted throughout Europe for ecosystem services including timber and urban greenery. Public interest in NNTs has recently increased due to their potential role in climate change adaptation as alternatives to vulnerable native forest tree species. However, opinions regarding the benefits and risks of European NNTs differ. Understanding stakeholder perceptions is crucial for guiding adaptive forest management, especially in sensitive ecosystems like the European Alpine Space. To assess awareness and perception, a structured questionnaire was administered to 456 respondents from six countries in the European Alpine Space. Most respondents were aware of the origin of native and NNT species in their area. NNTs and invasive-NNTs were primarily found in urban regions, with a perceived increase in their occurrence over the past 25 years. With some exceptions, such as Pseudotsuga menziesii (Mirb.) Franco, the most common NNTs were generally perceived as potentially invasive. The perception of the invasiveness of NNTs correlated with their perceived risks and benefits on ecosystem services. The respondents who were unconcerned about invasiveness believed NNTs had a positive impact on provisioning services like timber, while those concerned about invasiveness perceived their negative effects on regulating cultural ecosystem services such as native biodiversity and landscape aesthetics. Overall, most respondents were conservative, opposing the promotion of NNTs, even in biodiversity-poor areas. Most stakeholders also believe that NNT regulations should prioritize their sustainable use and management rather than focusing solely on an invasive-centric narrative.
C1 [Hazarika, Reneema; Vacik, Harald] Univ Nat Resources & Life Sci BOKU, Inst Silviculture, Gregor Mendel Str 33, A-1180 Vienna, Austria.
   [Hazarika, Reneema; Lapin, Katharina] Austrian Res Ctr Forests BFW, Forest Biodivers & Nat Conservat, Seckendorff Gudent Weg 8, A-1130 Vienna, Austria.
   [Bindewald, Anja] Forest Res Inst Baden Wurttemberg FVA, Dept Forest Conservat, D-79100 Freiburg, Germany.
   [Vaz, Ana Sofia] Univ Porto, Ctr Invest Biodiversidade & Recursos Genet, CIBIOInBIO Lab Associado, Campus Vairao, P-4485661 Vairao, Portugal.
   [Vaz, Ana Sofia] CIBIO, BIOPOLIS Program Genom Biodivers & Land Planning, Campus Vairao, P-4485661 Vairao, Portugal.
   [Marinsek, Aleksander; Simcic, Anica] Slovenian Forestry Inst, Dept Forest Ecol, Vecna Pot 2, Ljubljana 1000, Slovenia.
   [La Porta, Nicola] Edmund Mach Fdn, IASMA Res & Innovat Ctr, Via E Mach 1, I-38010 Trento, Italy.
   [La Porta, Nicola] EFI Project Ctr Mt Forests MOUNTFOR, Trento, Italy.
   [Detry, Patricia] 71 Rue La Grande HaieGrand Est, F-54510 Tomblaine, France.
   [Berger, Frederic] Inst Natl Rech Agron INRAE, 147 Rue Univ, F-75007 Paris, France.
   [Baric, Darja] Dev Agcy Sora Doo, Poljanska Cesta 2, Skofja Loka 4220, Slovenia.
C3 BOKU University; Universidade do Porto; Universidade do Porto; Slovenian
   Forestry Institute; Fondazione Edmund Mach; INRAE
RP Hazarika, R (corresponding author), Univ Nat Resources & Life Sci BOKU, Inst Silviculture, Gregor Mendel Str 33, A-1180 Vienna, Austria.; Hazarika, R (corresponding author), Austrian Res Ctr Forests BFW, Forest Biodivers & Nat Conservat, Seckendorff Gudent Weg 8, A-1130 Vienna, Austria.
EM reneemahazarika@gmail.com
RI Detry, Patricia/JGD-7563-2023; Vaz, A./L-9364-2013; La Porta,
   Nicola/G-8461-2011
OI La Porta, Nicola/0000-0002-7080-3349
FU University of Natural Resources and Life Sciences Vienna (BOKU)
FX Open access funding provided by University of Natural Resources and Life
   Sciences Vienna (BOKU).
CR Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   Ali F, 2018, J TRANSP GEOGR, V72, P237, DOI 10.1016/j.jtrangeo.2018.09.007
   [Anonymous], 2012, EEA Technical Report
   [Anonymous], 2022, ALPTREES NNT database
   Bartz R, 2019, NEOBIOTA, P69, DOI 10.3897/neobiota.43.30122
   Beiser-McGrath LF, 2018, CLIMATIC CHANGE, V149, P335, DOI 10.1007/s10584-018-2260-9
   Benesperi R, 2012, BIODIVERS CONSERV, V21, P3555, DOI 10.1007/s10531-012-0380-5
   Berg C, 2016, PRESLIA, V88, P185
   Bindewald A., 2018, Schweizerische Zeitschrift fur Forstwesen, V169, P86, DOI 10.3188/szf.2018.0086
   Bindewald A, 2021, ECOL EVOL, V11, P18089, DOI 10.1002/ece3.8407
   Blattert C, 2017, ECOL INDIC, V79, P391, DOI 10.1016/j.ecolind.2017.04.025
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Borden JB, 2021, FRONT ECOL ENVIRON, V19, P184, DOI 10.1002/fee.2295
   Bork J., 2015, Forstarchiv, V86, P102
   Bouriaud L, 2013, ANN FOR RES, V56, P199
   Brang P, 2013, MANAGEMENT STRATEGIES TO ADAPT ALPINE SPACE FORESTS TO CLIMATE CHANGE RISKS, P369, DOI 10.5772/56272
   Brundu G, 2020, NEOBIOTA, P65, DOI 10.3897/neobiota.61.58380
   Brundu G, 2016, NEOBIOTA, P5, DOI 10.3897/neobiota.30.7015
   Brunette M, 2018, FORESTS, V9, DOI 10.3390/f9010020
   Brus DJ, 2012, EUR J FOREST RES, V131, P145, DOI 10.1007/s10342-011-0513-5
   Brus R, 2019, SCAND J FOREST RES, V34, P533, DOI 10.1080/02827581.2019.1676464
   Campagnaro T, 2022, FOREST ECOL MANAG, V521, DOI 10.1016/j.foreco.2022.120382
   Campagnaro T, 2018, J NAT CONSERV, V43, P227, DOI 10.1016/j.jnc.2017.07.007
   Castro-Díez P, 2019, BIOL REV, V94, P1477, DOI 10.1111/brv.12511
   Chakraborty D, 2016, EUR J FOREST RES, V135, P919, DOI 10.1007/s10342-016-0984-5
   Chapman DS, 2016, GLOBAL CHANGE BIOL, V22, P3067, DOI 10.1111/gcb.13220
   Chmura D, 2020, FORESTS, V11, DOI 10.3390/f11050586
   Choon SW, 2019, ENVIRON DEV SUSTAIN, V21, P1891, DOI 10.1007/s10668-018-0108-0
   Chytry M, 2009, DIVERS DISTRIB, V15, P98, DOI 10.1111/j.1472-4642.2008.00515.x
   Collins CMT, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.06.005
   Dimitrova A, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.908464
   Dodet M, 2012, BIOL INVASIONS, V14, P1765, DOI 10.1007/s10530-012-0202-4
   Dubova Olena, 2019, Current Trends in Natural Sciences, V8, P19
   Dueñas MA, 2018, BIODIVERS CONSERV, V27, P3171, DOI 10.1007/s10531-018-1595-x
   Dupire S, 2020, APPL GEOGR, V120, DOI 10.1016/j.apgeog.2020.102221
   Dziedzinski M, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10071306
   EEA, 2020, The Alpine region - Biodiversity, Energy and Water - European Environment Agency
   Essl F, 2007, PRESLIA, V79, P377
   European Council, 2014, Regulation (EU) No1143/2014 of the European Parliament and of the Council of 22 October 2014 on the prevention and management of the introduction and spread of invasive alien species
   Farkas A., 2007, The European Journal of Plant Science and Biotechnology, V1, P125
   Federal Office for the Environment (FOEN), 2022, ALIEN SPECIES SWITZE
   Fischer AP, 2012, INVAS PLANT SCI MANA, V5, P375, DOI 10.1614/IPSM-D-12-00005.1
   FOREST EUROPE, 2020, State of Forests 2020
   Frei ER, 2022, FOREST ECOL MANAG, V503, DOI 10.1016/j.foreco.2021.119767
   Frischbier N, 2019, EUR J FOREST RES, V138, P1015, DOI 10.1007/s10342-019-01222-1
   Frydl J., 2018, Acta Silvatica & Lignaria Hungarica, V14, P9
   Gaertner M, 2017, BIOL INVASIONS, V19, P3461, DOI 10.1007/s10530-017-1598-7
   Gallardo B, 2016, GLOBAL CHANGE BIOL, V22, P151, DOI 10.1111/gcb.13004
   Gerstenberg T, 2016, URBAN FOR URBAN GREE, V15, P103, DOI 10.1016/j.ufug.2015.12.004
   Gippet JMW, 2022, DIVERS DISTRIB, V28, P1171, DOI 10.1111/ddi.13509
   GOODMAN LA, 1961, ANN MATH STAT, V32, P148, DOI 10.1214/aoms/1177705148
   Grilli G, 2016, FOREST POLICY ECON, V66, P11, DOI 10.1016/j.forpol.2016.02.003
   Härtl FH, 2016, CAN J FOREST RES, V46, P163, DOI 10.1139/cjfr-2015-0264
   Hagerman S, 2021, J ECOL, V109, P2309, DOI 10.1111/1365-2745.13667
   Hajjar R, 2014, CAN J FOREST RES, V44, P1525, DOI 10.1139/cjfr-2014-0142
   Hasenauer H, 2017, COST ActionFP1403 NNEXT Country Reports, Joint Volume
   Hazarika R, 2021, ANN FOREST SCI, V78, DOI 10.1007/s13595-021-01044-5
   Hornsey MJ, 2016, NAT CLIM CHANGE, V6, P622, DOI [10.1038/NCLIMATE2943, 10.1038/nclimate2943]
   Isaac-Renton MG, 2014, GLOBAL CHANGE BIOL, V20, P2607, DOI 10.1111/gcb.12604
   Jakubowski M, 2022, FORESTS, V13, DOI 10.3390/f13050668
   Johnson T.P., 2014, Wiley StatsRef: Statistics Reference Online, DOI [10.1002/9781118445112.stat05720, DOI 10.1002/9781118445112.STAT05720, 10.1002/9781118445112.STAT05720]
   Karatoprak GS, 2019, NONVITAMIN AND NONMINERAL NUTRITIONAL SUPPLEMENTS, P295, DOI 10.1016/B978-0-12-812491-8.00042-4
   Kassambara A., 2020, R PACKAGE VERSION, V1, P7
   Klimo E., 2000, EFI Proceedings
   Kracke I, 2021, NAT CONSERV-BULGARIA, P63, DOI 10.3897/natureconservation.45.72554
   Kulhanek SA, 2011, ECOL APPL, V21, P189, DOI 10.1890/09-1452.1
   La Marca O, 2016, ATTIDELLA ACCADEMIA, V8, P43
   Lähdesmäki M, 2014, SCAND J FOREST RES, V29, P101, DOI 10.1080/02827581.2013.869348
   Lange F, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.844580
   Lapin K., 2020, Res Ideas Outcomes, DOI [10.3897/rio.6.e53038, DOI 10.3897/RIO.6.E53038]
   Lapin K, 2023, CENT EURO FOR J, V69, P142, DOI 10.2478/forj-2023-0001
   Lawrence A, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104522
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Marinsek A, 2022, ALPTREES Handbook for nonnative tree species in the Urban Space
   Mattsson BJ, 2018, CONSERV BIOL, V32, P98, DOI 10.1111/cobi.12966
   Mercurio R., 2000, Arboriculture for wood, P203
   Naser B, 2005, EVID-BASED COMPL ALT, V2, P69, DOI 10.1093/ecam/neh065
   Nicolescu VN, 2023, J FORESTRY RES, V34, P871, DOI 10.1007/s11676-023-01607-4
   Nicolescu VN, 2020, TREES-STRUCT FUNCT, V34, P1087, DOI 10.1007/s00468-020-01988-7
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Petit N, 2021, The Proposed Digital Markets Act (DMA): A Legal and Policy Review, DOI [10.2139/ssrn.3843497, DOI 10.2139/SSRN.3843497]
   Pötzelsberger E, 2020, CURR FOR REP, V6, P339, DOI 10.1007/s40725-020-00129-0
   Pötzelsberger E, 2020, FORESTRY, V93, P567, DOI 10.1093/forestry/cpaa009
   Pysek P, 2020, BIOL REV, V95, P1511, DOI 10.1111/brv.12627
   Quinkenstein A, 2016, J ENVIRON MANAGE, V168, P53, DOI 10.1016/j.jenvman.2015.11.044
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Radu S, 2017, Pinus strobus: past and future in Europe. A page of silvicultural history and international scientific cooperation, DOI [10.15287/afr.2008.150, DOI 10.15287/AFR.2008.150]
   Riedel T, 2017, 3 BUNDESWALDINVENTUR
   Roques A., 2019, DOUGLAS FIR OPTION E, P63
   Roy HE, 2018, J APPL ECOL, V55, P526, DOI 10.1111/1365-2664.13025
   Sallmannshofer M, 2023, FRONT FOR GLOB CHANG, V6, DOI 10.3389/ffgc.2023.1160166
   Marques PS, 2020, J ANIM ECOL, V89, P2345, DOI 10.1111/1365-2656.13293
   Schlaepfer MA, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126861
   Seebens H, 2015, GLOBAL CHANGE BIOL, V21, P4128, DOI 10.1111/gcb.13021
   Shackleton RT, 2019, J ENVIRON MANAGE, V229, P145, DOI 10.1016/j.jenvman.2018.05.007
   Simcic Anica, 2022, GozdVestn, V80
   Smaill SJ, 2014, ENVIRON MANAGE, V53, P783, DOI 10.1007/s00267-014-0239-5
   Spiecker H, 2019, Douglas-firan option for EuropeWhat Science
   St-Laurent GP, 2018, CLIMATIC CHANGE, V151, P573, DOI 10.1007/s10584-018-2310-3
   Stevenson EA, 2023, BIOL INVASIONS, V25, P2423, DOI 10.1007/s10530-023-03067-7
   Sun HY, 2023, J PEST SCI, V96, P903, DOI 10.1007/s10340-023-01591-y
   Tschopp T., 2015, Schweizerische Zeitschrift fur Forstwesen, V166, P9, DOI 10.3188/szf.2015.0009
   Uprety Y, 2013, CAN J FOREST RES, V43, P544, DOI 10.1139/cjfr-2012-0514
   Vaske JJ, 2001, SOC NATUR RESOUR, V14, P761, DOI 10.1080/089419201753210585
   Vaz AS, 2020, FORESTRY, V93, P557, DOI 10.1093/forestry/cpz060
   Verbrugge LNH, 2013, ENVIRON MANAGE, V52, P1562, DOI 10.1007/s00267-013-0170-1
   Vitková M, 2017, FOREST ECOL MANAG, V384, P287, DOI 10.1016/j.foreco.2016.10.057
   Vor T., 2015, Potenziale Und Risiken eingefuhrter Baumarten: Baumartenportraits mit Naturschutzfachlicher Bewertung, Gottinger Forstwissenschaften, DOI [10.17875/gup2015-843, DOI 10.17875/GUP2015-843]
   Wagner V, 2021, J VEG SCI, V32, DOI 10.1111/jvs.13014
   Weidlich EWA, 2020, J APPL ECOL, V57, P1806, DOI 10.1111/1365-2664.13656
   Winkel G, 2014, BIODIVERS CONSERV, V23, P3359, DOI 10.1007/s10531-014-0824-1
   Wohlgemuth T, 2022, NEOBIOTA, V78, P45, DOI 10.3897/neobiota.78.87022
NR 112
TC 2
Z9 2
U1 8
U2 8
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 AUG
PY 2024
VL 29
IS 6
AR 55
DI 10.1007/s11027-024-10152-2
PG 22
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA YX3L3
UT WOS:001271744400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kim, J
   Kang, J
AF Kim, Jaekyoung
   Kang, Junsuk
TI Evaluating the efficiency of fog cooling for climate change adaptation
   in vulnerable groups: A case study of Daegu Metropolitan City
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Daegu Metropolitan City; Smart city; Climate change adaptation; Fog
   cooling; Numerical analysis; Design manual
ID COMPUTATIONAL FLUID-DYNAMICS; WATER SPRAY SYSTEMS; ENVI-MET;
   EXPERIMENTAL VALIDATION; THERMAL ENVIRONMENT; URBAN MICROCLIMATE; CFD
   SIMULATIONS; VAPOR-PRESSURE; TEMPERATURE; HOT
AB This study quantitatively analyzed the effect of fog cooling on temperature reduction and conducted an optimization study on the layout for planning a fog cooling system in the Daegu Metropolitan City. First, the design and verification of a single fog cooling unit was identified through an indoor experiment. Second, the temperature reduction effect of the installed fog cooling system was measured based on a sensor and verified through a finite volume method (FVM)-based computational fluid dynamics (CFD) analysis. Third, a numerical analysis of the optimal fog cooling arrangement was designed and performed in the Indongchon area. The temperature reduction design manual and model equations, which can be used by decision-makers, were analyzed through numerical analysis. The measured temperature reduction and simulation values had a high accuracy of R-2 > 0.8. Based on the verified model, scenarios A-D were designed and analyzed according to the fog cooling arrangement. Scenario B, in which the fog cooling was arranged vertically to the wind direction, appeared to be the most efficient. In this case, the volume average temperature where fog cooling was installed could be reduced by up to 3.02 degrees C. It was also found that efficiency is higher when the fog cooling system is positioned at narrow intervals of <5 m than at wide intervals of >10 m, considering the wind direction. The results of this study can aid decision makers-including urban policymakers and planners-for estimating the potential extent of temperature reduction and increase in humidity by adopting fog cooling.
C1 [Kim, Jaekyoung; Kang, Junsuk] Seoul Natl Univ, Interdisciplinary Program Landscape Architecture, Seoul 08826, South Korea.
   [Kim, Jaekyoung; Kang, Junsuk] Seoul Natl Univ, Transdisciplinary Program Smart City Global Conver, Seoul 08826, South Korea.
   [Kang, Junsuk] Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul 08826, South Korea.
   [Kang, Junsuk] Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul 08826, South Korea.
C3 Seoul National University (SNU); Seoul National University (SNU); Seoul
   National University (SNU); Seoul National University (SNU)
RP Kang, J (corresponding author), Seoul Natl Univ, Interdisciplinary Program Landscape Architecture, Seoul 08826, South Korea.
EM kimnam124@snu.ac.kr; junkang@snu.ac.kr
FU Korea Agency for Infrastructure Technology Advancement (KAIA) - Ministry
   of Land, Infrastructure and Transport of South Korea [21CTAP-C163682-01,
   21NSPS-B149833-04]; Ministry of Environment of South Korea
FX This work is supported by the Korea Agency for Infrastructure Technology
   Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure
   and Transport of South Korea (Grant 21CTAP-C163682-01,
   21NSPS-B149833-04) and knowledge-based environmental program funded by
   Ministry of Environment of South Korea.
CR Acero JA, 2015, BUILD ENVIRON, V93, P245, DOI 10.1016/j.buildenv.2015.06.028
   Alaidroos A, 2016, ENERG BUILDINGS, V131, P207, DOI 10.1016/j.enbuild.2016.09.035
   [Anonymous], 1988, Chicago Lectures in Mathematics
   [Anonymous], 2007, An Introduction to Computational Fluid Dynamics: the Finite Volume Method
   [Anonymous], 2004, ENG SYSTEMS DESIGN A
   Arbel A, 1999, J AGR ENG RES, V72, P129, DOI 10.1006/jaer.1998.0351
   Ashgriz N., 2002, Fluid Flow Handb, V1, P1
   Balany F, 2020, WATER-SUI, V12, DOI 10.3390/w12123577
   Barakat E, 2022, APPL THERM ENG, V207, DOI 10.1016/j.applthermaleng.2022.118115
   BARFIELD BJ, 1973, AGR METEOROL, V12, P105, DOI 10.1016/0002-1571(73)90011-3
   BAUSCH WC, 1990, T ASAE, V33, P791, DOI 10.13031/2013.31402
   Bishnoi P., 2016, INT J ADV RES SCI EN, V5, P707
   Brozovsky J, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108175
   BUCK AL, 1981, J APPL METEOROL, V20, P1527, DOI 10.1175/1520-0450(1981)020<1527:NEFCVP>2.0.CO;2
   Castellvi F, 1996, AGR FOREST METEOROL, V82, P29, DOI 10.1016/0168-1923(96)02343-X
   Chen JL, 2014, ADV MECH ENG, DOI 10.1155/2014/712740
   Chen Q., 2000, International Journal on Architectural Science, V1, P14
   Cheolhee Yoo, 2017, [Korean Journal of Remote Sensing, 대한원격탐사학회지], V33, P1101
   Choo Sung-Hyeon, 2020, Quantitative Bio-Science, V39, P119, DOI 10.22283/qbs.2020.39.2.119
   Daegu Metropolitan City, 2021, DAEG SMART CIT PLAN
   Daegu Metropolitan City, 2021, DAEG RES REG DEM
   Dhariwal J, 2019, BUILD ENVIRON, V150, P281, DOI 10.1016/j.buildenv.2019.01.016
   Di Giuseppe E, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110638
   Don W Green., 2019, Perry's Chemical Engineers' Handbook, 9th Edition, V9th
   Eum JH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041179
   Eymard R, 2000, HDBK NUM AN, V7, P713
   Farnham C, 2015, BUILD RES INF, V43, P334, DOI 10.1080/09613218.2015.1004844
   Farnham C, 2011, PROCEDIA ENVIRON SCI, V4, P228, DOI 10.1016/j.proenv.2011.03.027
   García-Sánchez C, 2014, BUILD ENVIRON, V78, P118, DOI 10.1016/j.buildenv.2014.04.013
   Geun Jang Young, 2019, Crisisonomy, V15, P43, DOI 10.14251/crisisonomy.2019.15.10.43
   Ghaffarianhoseini A, 2015, BUILD ENVIRON, V87, P154, DOI 10.1016/j.buildenv.2015.02.001
   GISS, 2021, GISS SURFACE TEMPERA
   Green J, 2009, ANAEST INTENS CARE M, V10, P45, DOI 10.1016/j.mpaic.2008.11.016
   Hansen J., 2019, Global Temperature in 2018 and Beyond
   Huang C, 2017, BUILD ENVIRON, V123, P189, DOI 10.1016/j.buildenv.2017.06.043
   Huttner S., 2012, Further development and application of the 3D microclimate simulation ENVI-met
   JACOBSON JS, 1984, PHILOS T R SOC B, V305, P327, DOI 10.1098/rstb.1984.0061
   Jang G, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100924
   Jeong W, 2014, INT J MECH SCI, V78, P19, DOI 10.1016/j.ijmecsci.2013.10.017
   Jia SQ, 2021, BUILD ENVIRON, V201, DOI 10.1016/j.buildenv.2021.107988
   Jiang XD, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58578-3
   Joo YM, 2018, CITIES, V73, P128, DOI 10.1016/j.cities.2017.08.015
   Ki Jung-Hoon, 2012, [Journal of Korea Planning Association, 국토계획], V47, P37
   Kim Jaekyoung, 2020, [JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL, 한국환경과학회지], V29, P683, DOI 10.5322/JESI.2020.29.6.683
   Kim Jaekyoung, 2021, [JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL, 한국환경과학회지], V30, P353, DOI 10.5322/JESI.2021.30.4.353
   Kim J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12156032
   Kim K, 2007, JARQ-JPN AGR RES Q, V41, P283, DOI 10.6090/jarq.41.283
   Kim Soobong, 2018, [Journal of recreation and landscape, 휴양및경관연구], V12, P31, DOI 10.51549/JORAL.2020.12.1.031
   Kim YJ, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108244
   Kirtsaeng S, 2015, 2015 FIRST ASIAN CONFERENCE ON DEFENCE TECHNOLOGY (ACDT), P63, DOI 10.1109/ACDT.2015.7111585
   Kojima M., 2012, Design For Innovative Value Towards A Sustainable Society, P720, DOI [10.1007/978-94-007-3010-6_144, DOI 10.1007/978-94-007-3010-6_144]
   Korea Agency for Infrastructure Technology Advancement, 2021, DEV SAF TECHN NAT DI
   Korea Institute of Civil Engineering and Building Technology,, 2021, VER STUD REP CONSTR
   Korea Meteorological Administration, 2022, STAND WEATH WARN ANN
   Learning L., 2021, PHASE CHANGE LATENT
   Lee JS, 2016, J URBAN PLAN DEV, V142, DOI 10.1061/(ASCE)UP.1943-5444.0000305
   Li TL, 2012, 2012 IEEE INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND COMMUNICATIONS, CONFERENCE ON INTERNET OF THINGS, AND CONFERENCE ON CYBER, PHYSICAL AND SOCIAL COMPUTING (GREENCOM 2012), P50, DOI 10.1109/GreenCom.2012.18
   Li XT, 2005, BUILD ENVIRON, V40, P853, DOI 10.1016/j.buildenv.2004.08.022
   Liu ZX, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107939
   Martinez-Fernandez C, 2016, PROG PLANN, V105, P1, DOI 10.1016/j.progress.2014.10.001
   McDermott R., 2008, NIST SPEC PUBL, V1018
   Montazeri H, 2017, LANDSCAPE URBAN PLAN, V159, P85, DOI 10.1016/j.landurbplan.2016.10.001
   Montazeri H, 2015, BUILD ENVIRON, V83, P129, DOI 10.1016/j.buildenv.2014.03.022
   MORGAN N G, 1972, PANS (PEST ARTIC NEWS SUMM), V18, P316
   Moukalled F., 2016, The finite volume method in computational fluid dynamics: an advanced introduction with OpenFOAM and Matlab, DOI 10.1007/978-3-319-16874-6
   Naboni E, 2017, ENRGY PROCED, V122, P1112, DOI 10.1016/j.egypro.2017.07.471
   Narumi D., 2009, 2 INT C COUNT
   Nasrollahi N, 2017, BUILD ENVIRON, V125, P356, DOI 10.1016/j.buildenv.2017.09.006
   Nasrollahi N, 2017, SUSTAIN CITIES SOC, V35, P449, DOI 10.1016/j.scs.2017.08.017
   Niemann P, 2020, BUILD ENVIRON, V182, DOI 10.1016/j.buildenv.2020.107027
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Ramachandran N., 2018, LECT NOTES NETWORKS, P271, DOI DOI 10.1007/978-981-10-3953-9_27
   Ricci A, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108409
   Salata F, 2016, SUSTAIN CITIES SOC, V26, P318, DOI 10.1016/j.scs.2016.07.005
   Sapounas AA, 2008, INT J VENT, V6, P379
   Sapounas AA, 2008, ACTA HORTIC, P987, DOI 10.17660/ActaHortic.2008.801.117
   Sebastián E, 2010, SENSORS-BASEL, V10, P9211, DOI 10.3390/s101009211
   Setaih K, 2014, J INF TECHNOL CONSTR, V19, P248
   seung Hyun cheol, 2018, [The Korean Society of Community Living Science, 한국지역사회생활과학회지], V29, P17, DOI 10.7856/kjcls.2018.29.1.17
   Simon H, 2018, LANDSCAPE URBAN PLAN, V174, P33, DOI 10.1016/j.landurbplan.2018.03.003
   Sood R., 2021, PROC DARCH 2021 1
   Taleb D, 2013, RENEW ENERG, V50, P747, DOI 10.1016/j.renene.2012.07.030
   Tawackolian K, 2022, BUILD SIMUL-CHINA, V15, P389, DOI 10.1007/s12273-021-0803-x
   Toparlar Y, 2017, RENEW SUST ENERG REV, V80, P1613, DOI 10.1016/j.rser.2017.05.248
   Toparlar Y, 2015, BUILD ENVIRON, V83, P79, DOI 10.1016/j.buildenv.2014.08.004
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   Ulpiani G, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113647
   Wang JF, 2009, ICEET: 2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 1, PROCEEDINGS, P156, DOI 10.1109/ICEET.2009.44
   Wang WW, 2018, LANDSCAPE URBAN PLAN, V170, P90, DOI 10.1016/j.landurbplan.2017.11.008
   Yang YJ, 2019, BUILD ENVIRON, V159, DOI 10.1016/j.buildenv.2019.05.029
   Yin Q, 2018, ENVIRON SCI POLLUT R, V25, P22842, DOI 10.1007/s11356-018-2396-1
   Zastawny M., 2022, AIAA SCITECH 2022 FO
   Zhang C, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108106
NR 93
TC 13
Z9 13
U1 4
U2 25
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JUN 1
PY 2022
VL 217
AR 109120
DI 10.1016/j.buildenv.2022.109120
EA APR 2022
PG 14
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 1N2BB
UT WOS:000800465400002
OA hybrid
DA 2025-01-10
ER

PT J
AU Banwell, N
   Gesche, AS
   Vilches, OR
   Hostettler, S
AF Banwell, Nicola
   Stehr Gesche, Alejandra
   Rojas Vilches, Octavio
   Hostettler, Silvia
TI Barriers to the implementation of international agreements on the
   ground: Climate change and resilience building in the Araucania Region
   of Chile
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE resilience; Climate change adaptation and mitigation; Disaster risk
   reduction; Sustainable development; Policy implementation
ID DISASTER RISK REDUCTION; CHANGE ADAPTATION; MITIGATION; FRAMEWORK;
   ENGAGEMENT; SYNERGIES; LEVEL
AB Implementing disaster risk reduction (DRR), climate change adaptation and mitigation (CCA/M), and sustainable development are key to increasing community resilience to pressing climate change risks. Barriers to grassroots implementation of national and international policies are inexorably linked to local contexts, and in-depth understanding of these barriers is crucial in areas greatly impacted by climate change. This research applied an empirical mixed-methods approach to identify the barriers to implementing grassroots climate resilience in the Araucania Region in central-southern Chile. Data was collected in the form of expert interviews, 454 questionnaires of community members, community focus group discussions, and historical climate data for the region. The need to strengthen local-level implementation persists in the Araucania Region. Barriers to implementation include limited horizontal and multi-sectoral governance, and inadequate allocation of human and financial resources at the local level. The majority of community members expressed that they had some (71% n = 322) or a lot (10% n = 47) of climate change knowledge, with 91% (n = 409) indicating that their community is impacted by climate change, and half correctly perceived changes in several climate-related hazards. However, a misconception held by experts regarding community knowledge represents a barrier that limits opportunities for leveraging community willingness to take action, and impedes the inclusion of community priorities into national policies. Opportunities exist to strengthen grassroots climate resilience by adopting a coherent approach which links DRR and CCA/M to key community concerns in sustainable development. National and regional actors need to work closely with municipal governments to mobilize synergies and foster meaningful grassroots action.
C1 [Banwell, Nicola; Hostettler, Silvia] Ecole Polytech Fed Lausanne, Cooperat & Dev Ctr, Lausanne, Switzerland.
   [Stehr Gesche, Alejandra; Rojas Vilches, Octavio] Univ Concepcion, Ctr Environm Sci EULA Chile, Concepcion, Chile.
   [Stehr Gesche, Alejandra; Rojas Vilches, Octavio] Univ Concepcion, Fac Environm Sci, Concepcion, Chile.
C3 Swiss Federal Institutes of Technology Domain; Ecole Polytechnique
   Federale de Lausanne; Universidad de Concepcion; Universidad de
   Concepcion
RP Hostettler, S (corresponding author), Ecole Polytech Fed Lausanne, Cooperat & Dev Ctr, Lausanne, Switzerland.
EM silvia.hostettler@epfl.ch
OI Rojas, Octavio/0000-0002-0228-9595; Banwell, Nicola/0000-0001-9983-7334
FU Swiss Bilateral Research Programs: Leading House for the Latin American
   Region, Seed Money Grant [SMG1710]
FX This work was supported by the Swiss Bilateral Research Programs:
   Leading House for the Latin American Region, Seed Money Grant 2017
   [SMG1710]. The authors would also like to thank Joaquin Alejandro
   Gajardo Castillo for his help collecting the historical climate data.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Al-Nammari F, 2015, INT J DISAST RISK RE, V12, P34, DOI 10.1016/j.ijdrr.2014.11.005
   Aldunce Paulina., 2007, DISASTER PREV MANAG, V16, P33, DOI [10.1108/09653560710729794, DOI 10.1108/09653560710729794]
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2019, The Global Competitiveness Report 2019
   [Anonymous], 2018, An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   [Anonymous], 2016, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-014-9562-7
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Boisier JP, 2018, ELEMENTA-SCI ANTHROP, V6, DOI 10.1525/elementa.328
   Boisier JP, 2016, GEOPHYS RES LETT, V43, P413, DOI 10.1002/2015GL067265
   Bowman DMJS, 2019, AMBIO, V48, P350, DOI 10.1007/s13280-018-1084-1
   Bozkurt D., 2017, Hydrology and Earth System Sciences Discussions, P1, DOI DOI 10.5194/HESS-2016-690
   Center for Climate and Resilience Research, 2015, 2010 2015 MEG DROUGH
   Centre for Climate and Resilience Research, 2018, DAT PREC DAT TEMP
   Clar C, 2013, NAT RESOUR FORUM, V37, P1, DOI 10.1111/1477-8947.12013
   Comite Cientifico COP 25, 2019, EV CIENT CAMB CLIM C
   Conway D, 2014, NAT CLIM CHANGE, V4, P339, DOI 10.1038/NCLIMATE2199
   Cook ADB, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2018.12.013
   Dash P, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101090
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Eitzinger A, 2018, CLIMATIC CHANGE, V151, P507, DOI 10.1007/s10584-018-2320-1
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Garreaud RD, 2017, HYDROL EARTH SYST SC, V21, P6307, DOI 10.5194/hess-21-6307-2017
   Garuti Claudio, 2018, International Journal of Business and Systems Research, V12, P106
   Gobierno de Chile, 2015, INT NAT DET CONTR CH
   Gobierno de Chile, 2018, CHIL 3 BIENN UPD REP
   González ME, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2300
   Government of Chile, 2018, PLAN AD CAMB CLIM CI
   Government of Chile, PLAN ACC NAC CAMB CL
   Government of Chile, 2015, PLAN ESTR NAC GEST R
   Harte W, 2015, DISASTER PREV MANAG, V24, P651, DOI 10.1108/DPM-03-2015-0056
   Hernantes J, 2017, TECHNOL FORECAST SOC, V121, P1, DOI 10.1016/j.techfore.2017.05.011
   Holgate C, 2007, LOCAL ENVIRON, V12, P471, DOI 10.1080/13549830701656994
   Hostettler S, 2019, LANDSLIDES, V16, P1779, DOI 10.1007/s10346-019-01161-3
   Instituto Nacional de Estadistica, 2017, CENS POBL VIV
   Kelman I, 2017, DISASTER PREV MANAG, V26, P254, DOI 10.1108/DPM-02-2017-0043
   Klein R.J.T., 2014, ADAPTATION OPPORTUNI
   Koivisto JE, 2017, ENVIRON HAZARDS-UK, V16, P210, DOI 10.1080/17477891.2016.1218820
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Levac J, 2012, J COMMUN HEALTH, V37, P725, DOI 10.1007/s10900-011-9488-x
   Lillo-Ortega G, 2019, SUSTAIN SCI, V14, P1057, DOI 10.1007/s11625-018-0619-5
   Locatelli B, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101831
   Madan A, 2015, INT J DISAST RISK RE, V14, P545, DOI 10.1016/j.ijdrr.2015.10.004
   Manyena SB, 2011, LOCAL ENVIRON, V16, P417, DOI 10.1080/13549839.2011.583049
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Ministerio de Desarrollo Social, 2017, ENC CAR SOC NAC CASE
   Moser SC, 2015, URBAN CLIM, V14, P111, DOI 10.1016/j.uclim.2015.06.006
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   National Drought Mitigation Center, 2018, SPI GEN
   National Forestry Corporation (CONAF), 2019, EST RES REG OC NUM D
   Nilsson M, 2018, SUSTAIN SCI, V13, P1489, DOI 10.1007/s11625-018-0604-z
   ONEMI, PLAN RED REISG DES R
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   QSR international, 2018, NVIVO, V12
   Rivera C, 2015, INT J DISAST RISK RE, V14, P445, DOI 10.1016/j.ijdrr.2015.09.009
   Roberts E, 2015, NAT CLIM CHANGE, V5, P1024, DOI 10.1038/nclimate2776
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Roco L, 2014, ENVIRON SCI POLICY, V44, P86, DOI 10.1016/j.envsci.2014.07.008
   Rojas O, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9111983
   Rojas O, 2014, REV GEOGR NORTE GD, P177, DOI 10.4067/S0718-34022014000100012
   Sapiains R., 2017, 3 ENCUESTA NACL MEDI
   Sarmiento JP, 2018, DISASTER PREV MANAG, V27, P292, DOI 10.1108/DPM-03-2018-0088
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Seidler R, 2018, INT J DISAST RISK RE, V31, P92, DOI 10.1016/j.ijdrr.2018.04.023
   Sonke K., 2019, GLOBAL CLIMATE RISK
   Spires M, 2014, CLIM DEV, V6, P277, DOI 10.1080/17565529.2014.886995
   Sudmeier-Rieux KI, 2014, DISASTER PREV MANAG, V23, P67, DOI 10.1108/DPM-12-2012-0143
   Taylor A, 2019, J RISK RES, V22, P150, DOI 10.1080/13669877.2017.1351479
   Thomalla F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051458
   Tiernan A, 2019, POLICY DES PRACT, V2, P53, DOI 10.1080/25741292.2018.1507240
   UN General Assembly, 2017, Report of the Open-Ended Intergovernmental Expert Working Group on Indicators and Terminology Relating to Disaster Risk Reduction
   UNDRR, 2019, DES SEND CHIL
   UNDRR, 2018, SENDAIMONITOR IND E
   UNFCCC, 2017, OPP OPT INT CLIM CHA, DOI [10.1163/157180894X00133, DOI 10.1163/157180894X00133]
   Urrutia-Jalabert R, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2171
   Valdivieso P, 2017, CLIMATIC CHANGE, V143, P157, DOI 10.1007/s10584-017-1961-9
   Vicuña S, 2011, CLIMATIC CHANGE, V105, P469, DOI 10.1007/s10584-010-9888-4
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Williamson TB, 2017, CAN J FOREST RES, V47, P1567, DOI 10.1139/cjfr-2017-0252
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Woolf D, 2018, CLIM POLICY, V18, P1260, DOI 10.1080/14693062.2018.1427537
NR 88
TC 12
Z9 12
U1 0
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD NOV
PY 2020
VL 50
AR 101703
DI 10.1016/j.ijdrr.2020.101703
PG 9
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA PG3PW
UT WOS:000599651800005
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU van Popering-Verkerk, J
   van Buuren, A
AF van Popering-Verkerk, Jitske
   van Buuren, Arwin
TI Developing collaborative capacity in pilot projects: Lessons from three
   Dutch flood risk management experiments
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Pilot projects; Collaborative capacity; Flood risk management; Climate
   change adaptation; Functional context; Governance
ID FRAMEWORK; GOVERNANCE; TRANSITIONS
AB Pilots are frequently used to explore the possibilities for policy innovation at a distance from the policy regime in a safe environment, but they can also function as a boundary organization and contribute to the development of trust, mutual understanding and reciprocity among different actors with different viewpoints. However, the question of how pilots' particular characteristics contribute to collaborative capacity building is as yet unanswered. A specific domain in which pilots are frequently used is the emerging domain of climate change adaptation. In the Netherlands, pilots are used to explore the possibilities of using a more risk-based approach to flood management. The traditional approach of preventing floods by dikes and dams is gradually being replaced by a risk-based approach called multilevel flood safety. In this approach, which is quite complex compared to the traditional prevention-oriented approach, flood risk management is based on three types of measures at different levels: preventing floods, adaptive spatial planning and emergency management The implementation of this new approach requires collaboration among different public authorities with different task orientations, legal competencies and resources. In 2013, three regional pilots were started to explore how this new concept could be applied. These pilots (in which collaboration was indispensable but also highly difficult because of the huge fragmentation of the policy arena) are analyzed in this paper to determine whether and how the specific functional context of a pilot project contributes to collaborative capacity building, which pilot characteristics contribute to this capacity, and which ones hinder its development. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [van Popering-Verkerk, Jitske; van Buuren, Arwin] Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam
RP van Popering-Verkerk, J (corresponding author), Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
EM verkerk@fsw.eur.nl; vanbuuren@fsw.eur.nl
RI van Buuren, Arwin/I-6240-2013
OI van Buuren, Arwin/0000-0002-8504-0495
CR [Anonymous], 2015, OECD Principles on Water Governance, P24
   [Anonymous], SAMEN WERKEN MET WAT
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Beckley TM, 2008, J RURAL COMMUNITY D, V3, P56
   Bos JJ, 2012, TECHNOL FORECAST SOC, V79, P1340, DOI 10.1016/j.techfore.2012.04.006
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Chaskin RJ, 2001, URBAN AFF REV, V36, P291, DOI 10.1177/10780870122184876
   Cheng AS, 2012, ENVIRON MANAGE, V49, P675, DOI 10.1007/s00267-011-9801-6
   Deltaprogramma Nieuwbouw en Herstructurering, 2013, DELT 2014 BIJL NIEUW
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Foster-Fishman PG, 2001, AM J COMMUN PSYCHOL, V29, P241, DOI 10.1023/A:1010378613583
   Gersonius B, 2016, ECOL SOC, V21, DOI 10.5751/ES-08752-210428
   Gieske H., 2016, INNOVATION J, V21, P1
   Gieske H, 2015, COLLABORATIVE GOVERNANCE AND PUBLIC INNOVATION IN NORTHERN EUROPE, P157
   Healey P, 2006, RTPI LIB SER, P1
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   Huxham Chris., 2000, PUBLIC MANAGEMENT IN, V2, P337, DOI 10.1080/14719030000000021
   Innes, 2003, 200303 I URB REG DEV
   Innes JE, 2007, J AM PLANN ASSOC, V73, P195, DOI 10.1080/01944360708976153
   Jordan A, 2014, ENVIRON POLIT, V23, P715, DOI 10.1080/09644016.2014.923614
   Kabat P, 2005, NATURE, V438, P283, DOI 10.1038/438283a
   Kivimaa P., 2015, SPRU Working Paper Series: University of Sussex
   Koppenjan JoopF. M., 2004, Managing Uncertainties in Networks
   Martin S., 1999, EVALUATION-US, V5, P245, DOI DOI 10.1177/13563899922208977
   McFadgen B., 2016, J ENV PLAN MANAG
   Meijerink S, 2013, ENVIRON PLANN C, V31, P240, DOI 10.1068/c11129
   Newig J, 2010, ECOL SOC, V15
   Nutley S., 2002, Working Paper 9
   O'Leary R, 2012, AM REV PUBLIC ADM
   Provan KG, 2007, J MANAGE, V33, P479, DOI 10.1177/0149206307302554
   Sanderson I, 2002, PUBLIC ADMIN, V80, P1, DOI 10.1111/1467-9299.00292
   Smith A, 2012, RES POLICY, V41, P1025, DOI 10.1016/j.respol.2011.12.012
   Spekkink WAH, 2016, J PUBL ADM RES THEOR, V26, P613, DOI 10.1093/jopart/muv030
   Teisman G, 2013, INT J WATER GOV, V1, P1, DOI 10.7564/12-IJWG4
   van Buuren A, 2009, PUBLIC MANAG REV, V11, P375, DOI 10.1080/14719030902798289
   van Buuren M.W., 2016, WORKSH EXPT UND CLIM
   van Buuren M.W., 2015, WATER DEERT WATER KE
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   Van Meerkerk I., 2014, THESIS
   van Stokkom HTC, 2005, WATER INT, V30, P76, DOI 10.1080/02508060508691839
   Vreugdenhil H. S. I., 2010, Pilot projects in water management: Practicing change and changing practice
   Vreugdenhil H, 2010, ECOL SOC, V15
   Williams P, 2002, PUBLIC ADMIN, V80, P103, DOI 10.1111/1467-9299.00296
NR 43
TC 23
Z9 23
U1 2
U2 59
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD DEC 15
PY 2017
VL 169
BP 225
EP 233
DI 10.1016/j.jclepro.2017.04.141
PG 9
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA FK3HW
UT WOS:000413377200022
OA Green Published
DA 2025-01-10
ER

PT J
AU Schütze, N
   Schmitz, GH
AF Schuetze, Niels
   Schmitz, Gerd H.
TI OCCASION: New Planning Tool for Optimal Climate Change Adaption
   Strategies in Irrigation
SO JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
LA English
DT Article
DE Irrigation; Crops; Scheduling; Risk management; Climate change
ID DEFICIT IRRIGATION; WATER-USE; FURROW IRRIGATION; CROP MANAGEMENT;
   WINTER-WHEAT; SYSTEM MODEL; SIMULATION; OPTIMIZATION; IMPACT; ALGORITHMS
AB To sustain productive irrigated agriculture with limited water resources requires a high water use efficiency. This can be achieved by the precise scheduling of deficit irrigation systems taking into account the crops' response to water stress at different stages of plant growth. Particularly in the light of climate change with rising population numbers and increasing water scarcity, an optimal solution for this task is of paramount importance. We solve the corresponding complex multidimensional and nonlinear optimization problem, i.e., finding the ideal schedule for maximum crop yield with a given water volume by a well tailored approach which offers straightforward application facilities. A global optimization technique allows, together with physically based modeling, for the risk assessment in yield reduction considering different sources of uncertainty (e.g., climate, soil conditions, and management). A new stochastic framework for decision support is developed which aims at optimal climate change adaption strategies in irrigation. It consists of: (1) a weather generator for simulating regional impacts of climate change; (2) a tailor-made evolutionary optimization algorithm for optimal irrigation scheduling with limited water supply; and (3) mechanistic models for rigorously simulating water transport and crop growth. The result, namely, stochastic crop-water production functions, allows to assess the impact of climate variability on potential yield and thus provides a valuable tool for estimating minimum water demands for irrigation in water resources planning and management, assisting furthermore in generating maps of yield uncertainty for specific crops and specific agricultural areas. The tool is successfully applied at an experimental site in southern France. The impacts of predicted climate variability on maize are discussed.
C1 [Schuetze, Niels; Schmitz, Gerd H.] Tech Univ Dresden, Inst Hydrol & Meteorol, D-01187 Dresden, Germany.
C3 Technische Universitat Dresden
RP Schütze, N (corresponding author), Tech Univ Dresden, Inst Hydrol & Meteorol, Wurzburger St 46, D-01187 Dresden, Germany.
EM ns1@rcs.urz.tu-dresden.de
RI Schütze, Niels/AAI-9459-2020
OI Schutze, Niels/0000-0002-2376-528X
FU E.U. [EVK2-CT2001-00132]
FX We wish to thank Jean Claude Mailhol from Cemagref (Montpellier) for
   kindly providing us with data for the research project. Data have been
   provided through the PRUDENCE data archive, funded by the E.U. through
   Contract No. EVK2-CT2001-00132.
CR Abrahamsen P, 2000, ENVIRON MODELL SOFTW, V15, P313, DOI 10.1016/S1364-8152(00)00003-7
   [Anonymous], 2015, Simulation-based optimization
   Bertsekas D. P., 2000, Dynamic Programming and Optimal Control, V2nd
   Bontemps C, 2002, ENVIRON DEV ECON, V7, P643, DOI 10.1017/S1355770X02000396
   Botev ZI, 2008, METHODOL COMPUT APPL, V10, P471, DOI 10.1007/s11009-008-9073-7
   BRAS RL, 1981, WATER RESOUR RES, V17, P866, DOI 10.1029/WR017i004p00866
   BROWN PD, 2006, P 4 WORLD C C COMP A
   Brumbelow K, 2007, J WATER RES PLAN MAN, V133, P275, DOI 10.1061/(ASCE)0733-9496(2007)133:3(275)
   Brumbelow K, 2007, AGR WATER MANAGE, V87, P151, DOI 10.1016/j.agwat.2006.06.016
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   de Paly M, 2009, LECT NOTES COMPUT SC, V5484, P142, DOI 10.1007/978-3-642-01129-0_18
   DOORENBOS J, 1979, 33 FAO UN A
   ENGLISH M, 1990, J IRRIG DRAIN ENG, V116, P399, DOI 10.1061/(ASCE)0733-9437(1990)116:3(399)
   Evett SR, 2009, AGRON J, V101, P423, DOI 10.2134/agronj2009.0038xs
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Garcia AGY, 2008, ECOL MODEL, V210, P312, DOI 10.1016/j.ecolmodel.2007.08.003
   González-Camacho JM, 2008, IRRIG DRAIN, V57, P229, DOI 10.1002/ird.332
   Gorantiwar SD, 2003, J IRRIG DRAIN ENG, V129, P155, DOI 10.1061/(ASCE)0733-9437(2003)129:3(155)
   Jones HG, 2004, J EXP BOT, V55, P2427, DOI 10.1093/jxb/erh213
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Kholedian MR, 2009, AGR WATER MANAGE, V96, P757, DOI 10.1016/j.agwat.2008.10.011
   Lawless C, 2005, AGR FOREST METEOROL, V135, P302, DOI 10.1016/j.agrformet.2006.01.002
   LETEY J, 1993, IRRIGATION SCI, V14, P75, DOI 10.1007/BF00208400
   LOGANATHAN G, 2004, P ASS MAN WAT RES AM
   Prasad AS, 2006, J IRRIG DRAIN ENG, V132, P228, DOI 10.1061/(ASCE)0733-9437(2006)132:3(228)
   Raghuwanshi NS, 1997, J IRRIG DRAIN ENG, V123, P377, DOI 10.1061/(ASCE)0733-9437(1997)123:5(377)
   RAO NH, 1988, AGR WATER MANAGE, V15, P165, DOI 10.1016/0378-3774(88)90109-6
   Scheierling SM, 1997, IRRIGATION SCI, V18, P23, DOI 10.1007/s002710050041
   Schmitz GH, 2007, ARAB J SCI ENG, V32, P103
   SCHMITZ GH, 2007, 5 IHPHWRP
   Schütze N, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003630
   Semenov MA, 1998, CLIMATE RES, V10, P95, DOI 10.3354/cr010095
   Semenov MA, 2007, AGR FOREST METEOROL, V144, P127, DOI 10.1016/j.agrformet.2007.02.003
   Shang SH, 2004, AGR WATER MANAGE, V68, P117, DOI 10.1016/j.agwat.2004.03.009
   Shang SH, 2006, AGR WATER MANAGE, V85, P314, DOI 10.1016/j.agwat.2006.05.015
   Sinai G, 2009, IRRIG DRAIN, V58, P50, DOI 10.1002/ird.391
   Singh R, 1997, AGR WATER MANAGE, V33, P19, DOI 10.1016/S0378-3774(96)01284-X
   Soltani A, 2007, FIELD CROP RES, V103, P198, DOI 10.1016/j.fcr.2007.06.003
   Steduto P, 2009, AGRON J, V101, P426, DOI 10.2134/agronj2008.0139s
   Sunantara JD, 1997, J WATER RES PL-ASCE, V123, P39, DOI 10.1061/(ASCE)0733-9496(1997)123:1(39)
   Tao F, 2008, AGR FOREST METEOROL, V148, P94, DOI 10.1016/j.agrformet.2007.09.012
   Wöhling T, 2007, J IRRIG DRAIN ENG, V133, P548, DOI 10.1061/(ASCE)0733-9437(2007)133:6(548)
NR 43
TC 45
Z9 47
U1 3
U2 45
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9437
EI 1943-4774
J9 J IRRIG DRAIN ENG
JI J. Irrig. Drainage Eng-ASCE
PD DEC
PY 2010
VL 136
IS 12
BP 836
EP 846
DI 10.1061/(ASCE)IR.1943-4774.0000266
PG 11
WC Agricultural Engineering; Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Engineering; Water Resources
GA 680ZY
UT WOS:000284277200004
DA 2025-01-10
ER

PT J
AU Henry, RJ
AF Henry, Robert J.
TI Genomics strategies for germplasm characterization and the development
   of climate resilient crops
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE genomics; evolution; climate adaptation; crops; wild crop relatives
ID DOMESTICATION; FRAGRANCE; GENES
AB Food security requires the development and deployment of crop varieties resilient to climate variation and change. The study of variations in the genome of wild plant populations can be used to guide crop improvement. Genome variation found in wild crop relatives may be directly relevant to the breeding of environmentally adapted and climate resilient crops. Analysis of the genomes of populations growing in contrasting environments will reveal the genes subject to natural selection in adaptation to climate variations. Whole genome sequencing of these populations should define the numbers and types of genes associated with climate adaptation. This strategy is facilitated by recent advances in sequencing technologies. Wild relatives of rice and barley have been used to assess these approaches. This strategy is most easily applied to species for which a high quality reference genome sequence is available and where populations of wild relatives can be found growing in diverse environments or across environmental gradients.
C1 Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.
C3 University of Queensland
RP Henry, RJ (corresponding author), Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.
EM roberthenry@uq.edu.au
RI Henry, Robert/B-5824-2008
OI Henry, Robert/0000-0002-4060-0292
CR Bansal KC, 2014, PLANT BREEDING, V133, P1, DOI 10.1111/pbr.12117
   Becker M, 2013, NAT CLIM CHANGE, V3, P1039, DOI 10.1038/NCLIMATE2027
   Bradbury LMT, 2005, PLANT BIOTECHNOL J, V3, P363, DOI 10.1111/j.1467-7652.2005.00131.x
   Bradbury LMT, 2008, PLANT MOL BIOL, V68, P439, DOI 10.1007/s11103-008-9381-x
   Cronin JK, 2007, P NATL ACAD SCI USA, V104, P2773, DOI 10.1073/pnas.0611226104
   Dillon SL, 2007, ANN BOT-LONDON, V100, P975, DOI 10.1093/aob/mcm192
   Edwards D, 2012, PLANT BIOTECHNOL J, V10, P621, DOI 10.1111/j.1467-7652.2012.00724.x
   Fitzgerald TL, 2011, P NATL ACAD SCI USA, V108, P21140, DOI 10.1073/pnas.1115203108
   Fitzgerald TL, 2010, ENVIRON EXP BOT, V68, P292, DOI 10.1016/j.envexpbot.2010.01.001
   Henry R. J., 2014, CEREAL FOOD IN PRESS
   Henry R.J, 2010, PLANT RESOURCES FOOD, P200
   Henry RJ, 2014, PLANT GENET RESOUR-C, V12, pS9, DOI 10.1017/S1479262113000439
   Henry RJ, 2012, BRIEF FUNCT GENOMICS, V11, P51, DOI 10.1093/bfgp/elr032
   Henry RJ, 2010, RICE, V3, P235, DOI 10.1007/s12284-009-9034-y
   Ishii T, 2013, NAT GENET, V45, P462, DOI 10.1038/ng.2567
   Jin J, 2008, NAT GENET, V40, P1365, DOI 10.1038/ng.247
   Kharabian-Masouleh A, 2012, SCI REP-UK, V2, DOI 10.1038/srep00557
   Lybbert T., 2013, GENOMICS BREEDING CL, P415
   Malory S, 2011, PLANT BIOTECHNOL J, V9, P1131, DOI 10.1111/j.1467-7652.2011.00640.x
   Prasad V, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1482
   Qingsheng J., 2003, PLANT SCI, V165, P359, DOI [10.1016/S0168-9452(03)00195-X, DOI 10.1016/S0168-9452(03)00195-X]
   Shapter FM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0082641
   Shapter FM, 2012, PLANT SIGNAL BEHAV, V7, P602, DOI 10.4161/psb.19938
   Sotowa M, 2013, RICE, V6, DOI 10.1186/1939-8433-6-26
   Vaughan D.A., 2006, RICE BIOL GENOMICS E, P218
   Wambugu PW, 2013, RICE, V6, DOI 10.1186/1939-8433-6-29
NR 26
TC 30
Z9 32
U1 1
U2 24
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD FEB 25
PY 2014
VL 5
AR 68
DI 10.3389/fpls.2014.00068
PG 4
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA AB4XX
UT WOS:000331794400001
PM 24616732
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Atayi, J
   Anornu, GK
   Awotwi, A
   Andam-Akorful, SA
   Kabo-bah, AT
   Twumasi, YA
   Adu-Afari, E
   Anim-Gyampo, M
AF Atayi, Julia
   Anornu, Geophrey K.
   Awotwi, Alfred
   Andam-Akorful, Samuel A.
   Kabo-bah, Amos T.
   Twumasi, Yaw A.
   Adu-Afari, Emmanuel
   Anim-Gyampo, Maxwell
TI Terrestrial water storage and climate variability study of the Volta
   River Basin, West Africa
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
DE Volta Basin; Terrestrial water storage; Rainfall; Remote sensing;
   Climate change
ID ADAPTATION; PRECIPITATION; STRESSORS
AB The Volta Basin in West Africa plays a crucial role in supporting the livelihoods of millions of people, and effective management of its water resources is essential for climate change adaptation. This study utilized remote sensing technology, specifically the Gravity Recovery and Climate Experiment (GRACE), to assess terrestrial water storage (TWS) and its response to climate variability within the Volta Basin. The methodology involved integrating GRACE data with ground-based measurements, climate models, and other satellite observations to enhance the accuracy of TWS assessment. Despite numerous studies conducted within the basin, this research employed additional statistical techniques such as Independent Component Analysis (ICA) and El Nino Southern Oscillation (ENSO). It also utilized Climate Hazard Group Infrared Precipitation with Station (CHIRPS) to determine variations in TWS and climate variability observed within the Volta Basin. The results provide valuable insights into TWS dynamics, highlighting the complex interplay between precipitation patterns, groundwater storage, and surface water availability. Also, it was revealed that rainfall signals were strongest in the northernmost part of the basin, reaching a maximum value of 10 mm, while the lowest value of 5.5 mm was recorded in the southern part of the basin. Similarly, TWS signals were highest in the northern and lowest in the southern part of the basin, exhibiting values related to that of rainfall. Additionally, the highest TWS value of 250 mm was identified between 2010 and 2012. The increase in TWS during this period correlates with the occurrence of La Nina that happened between 2010 and 2012. This study offers essential information for water resource management, drought monitoring, flood forecasting, and climate change adaptation strategies not only within the Volta Basin but also in other basins across the globe.
C1 [Atayi, Julia] Morgan State Univ, Dept Civil Engn, Baltimore, MD 21251 USA.
   [Anornu, Geophrey K.] Kwame Nkrumah Univ Sci & Technol, Reg Water & Environm Sanitat Ctr Kumasi, Dept Civil Engn, World Banks Africa Ctr Excellence Project, Kumasi, Ghana.
   [Awotwi, Alfred] Cardiff Univ, Sch Earth & Environm Sci, Cardiff, Wales.
   [Andam-Akorful, Samuel A.] Kwame Nkrumah Univ Sci & Technol, Dept Geomat Engn, Kumasi, Ghana.
   [Kabo-bah, Amos T.] Univ Energy & Nat Resources, Dept Environm Engn, Sunyani, Ghana.
   [Twumasi, Yaw A.] Southern Univ, Dept Urban Forestry & Nat Resources, Baton Rouge, LA USA.
   [Twumasi, Yaw A.] A&M Coll, Baton Rouge, LA USA.
   [Adu-Afari, Emmanuel] Ho Tech Univ, Dept Civil Engn, Ho, Ghana.
   [Anim-Gyampo, Maxwell] Univ Dev Studies, Dept Earth Sci, Tamale, Ghana.
C3 Morgan State University; Kwame Nkrumah University Science & Technology;
   Cardiff University; Kwame Nkrumah University Science & Technology;
   Southern University System; Southern University & A&M College; Louisiana
   State University System; Louisiana State University; University for
   Development Studies
RP Atayi, J (corresponding author), Morgan State Univ, Dept Civil Engn, Baltimore, MD 21251 USA.
EM atayijulia1@gmail.com
RI Adu-Afari, Emmanuel/IAO-1975-2023; T. Kabo-Bah, Prof. Amos/AGR-4847-2022
FU World Bank through the Regional Water and Environmental Sanitation
   Center (RWESCK) at the Kwame Nkrumah University of Science and
   Technology
FX This work was funded by the World Bank through the Regional Water and
   Environmental Sanitation Center (RWESCK) at the Kwame Nkrumah University
   of Science and Technology, under the Africa Center of Excellence
   Project.
CR Ahmed A, 2016, ENVIRON DEV, V20, P45, DOI 10.1016/j.envdev.2016.08.002
   Ahmed M, 2014, EARTH-SCI REV, V136, P289, DOI 10.1016/j.earscirev.2014.05.009
   Andreini M., 2000, ZEF - Discussion Papers on Development Policy No. 21
   Asare-Donkor NK, 2020, ENVIRON EARTH SCI, V79, DOI 10.1007/s12665-020-08956-x
   Awange JL, 2016, INT J CLIMATOL, V36, P303, DOI 10.1002/joc.4346
   Awange JL, 2013, WATER RESOUR RES, V49, P8160, DOI 10.1002/2013WR014350
   Awotwi A., 2015, Journal of Earth Science & Climatic Change, V6, P249
   Awotwi A, 2021, SOIL TILL RES, V211, DOI 10.1016/j.still.2021.105026
   Barry B., 2005, The Volta River Basin: Comprehensive assessment of water management in agriculture
   Bekoe E.O., 2013, Environmental Sciences, V1, P13, DOI DOI 10.12988/ES.2013.13002
   Belay AS, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11222688
   Bjornsson H., 1997, A manual for EOF and SVD analysis of climate data
   Boakye EA, 2016, TREES-STRUCT FUNCT, V30, P1695, DOI 10.1007/s00468-016-1401-x
   CARDOSO JF, 1993, IEE PROC-F, V140, P362, DOI 10.1049/ip-f-2.1993.0054
   Cardoso JF, 1999, NEURAL COMPUT, V11, P157, DOI 10.1162/089976699300016863
   Clark CO, 2003, J CLIMATE, V16, P548, DOI 10.1175/1520-0442(2003)016<0548:IVOTRB>2.0.CO;2
   Colberg F, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002301
   Crowley JW, 2008, J GEODESY, V82, P9, DOI 10.1007/s00190-007-0153-1
   De Lathauwer L, 2000, J CHEMOMETR, V14, P123, DOI 10.1002/1099-128X(200005/06)14:3<123::AID-CEM589>3.0.CO;2-1
   Djebou DCS, 2018, ENVIRON DEV, V28, P55, DOI 10.1016/j.envdev.2018.09.006
   Dobi FB, 2021, WATER-SUI, V13, DOI 10.3390/w13121685
   Elhabian S, 2009, TUTORIAL DATA REDUCT
   Fasona M, 2013, ENVIRON DEV, V5, P73, DOI 10.1016/j.envdev.2012.11.003
   Ferreira VG, 2018, WATER-SUI, V10, DOI 10.3390/w10040380
   Ferreira VG, 2012, B CIENC GEOD, V18, P549, DOI 10.1590/S1982-21702012000400003
   Frappart F, 2011, REMOTE SENS ENVIRON, V115, P187, DOI 10.1016/j.rse.2010.08.017
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Ghazouani T, 2022, ENVIRON MODEL ASSESS, V27, P441, DOI 10.1007/s10666-021-09811-4
   Gordon C., 2013, Climate vulnerability: Understanding and addressing threats to essential resources, P283, DOI [10.1016/B978-0, DOI 10.1016/B978-0-12-384703-4.00518-9]
   Gyau-Boakye P., 2000, Jounal of Applied Science anf Technology, V5, P77
   Hanjra MA, 2010, FOOD POLICY, V35, P365, DOI 10.1016/j.foodpol.2010.05.006
   Hyvärinen A, 2000, NEURAL NETWORKS, V13, P411, DOI 10.1016/S0893-6080(00)00026-5
   Landerer FW, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011453
   Martin N, 2005, WATER INT, V30, P239, DOI 10.1080/02508060508691852
   Mavromatis T, 2011, THEOR APPL CLIMATOL, V104, P13, DOI 10.1007/s00704-010-0320-9
   Mazzarella A, 2013, THEOR APPL CLIMATOL, V111, P601, DOI 10.1007/s00704-012-0696-9
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Moore P, 2014, WATER RESOUR RES, V50, P9696, DOI 10.1002/2014WR015506
   Mul M., 2015, Water resources assessment of the Volta River Basin, P78, DOI DOI 10.5337/2015.220
   Mutai CC, 1998, INT J CLIMATOL, V18, P975, DOI 10.1002/(SICI)1097-0088(199807)18:9<975::AID-JOC259>3.0.CO;2-U
   Ndehedehe C, 2016, ADV WATER RESOUR, V88, P211, DOI 10.1016/j.advwatres.2015.12.009
   Ndehedehe CE, 2017, J HYDROL-REG STUD, V12, P88, DOI 10.1016/j.ejrh.2017.04.005
   Ndehedehe CE, 2016, SCI TOTAL ENVIRON, V557, P819, DOI 10.1016/j.scitotenv.2016.03.004
   Oguntunde PG, 2006, PHYS CHEM EARTH, V31, P1180, DOI 10.1016/j.pce.2006.02.062
   Okafor G, 2019, THEOR APPL CLIMATOL, V137, P2803, DOI 10.1007/s00704-018-2746-4
   Ouma YO, 2015, INT J REMOTE SENS, V36, P5707, DOI 10.1080/01431161.2015.1104743
   Paeth H, 2011, INT J CLIMATOL, V31, P1908, DOI 10.1002/joc.2199
   Pradhan GP., 2014, UNDERSTANDING INTERA
   Rodell M., 2000, ESTIMATING CHANGES T
   Rodell M, 2007, HYDROGEOL J, V15, P159, DOI 10.1007/s10040-006-0103-7
   Sarr B, 2012, ATMOS SCI LETT, V13, P108, DOI 10.1002/asl.368
   Scanlon BR, 2016, WATER RESOUR RES, V52, P9412, DOI 10.1002/2016WR019494
   Sishodia RP, 2018, SCI TOTAL ENVIRON, V635, P725, DOI 10.1016/j.scitotenv.2018.04.130
   Skoulikaris C, 2021, ENVIRON MODEL ASSESS, V26, P459, DOI 10.1007/s10666-020-09746-2
   Stone J.V., 2018, Independent Component Analysis: A Tutorial Introduction, DOI [10.7551/mitpress/3717.001.0001, DOI 10.7551/MITPRESS/3717.001.0001]
   Swenson S, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001808
   Tapley BD, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019920
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Twerefou DK., 2014, WIDER WORKING PAPER, DOI [10.35188/UNU-WIDER/2014/753-0, DOI 10.35188/UNU-WIDER/2014/753-0]
   Van de Giesen N, 2001, IAHS-AISH P, P199
   Welling R., 2012, TRANSBOUNDARY WATER
   Yidana SM., 2019, ENVIRON EARTH SCI, V78, P1
NR 62
TC 2
Z9 2
U1 2
U2 8
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD JAN
PY 2024
VL 155
IS 1
BP 309
EP 325
DI 10.1007/s00704-023-04636-5
EA SEP 2023
PG 17
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA IY3M6
UT WOS:001072279800002
DA 2025-01-10
ER

PT J
AU Sawatzky, A
   Cunsolo, A
   Shiwak, I
   Flowers, C
   Jones-Bitton, A
   Gillis, D
   Middleton, J
   Wood, M
   Government, RIC
   Harper, SL
AF Sawatzky, Alexandra
   Cunsolo, Ashlee
   Shiwak, Inez
   Flowers, Charlie
   Jones-Bitton, Andria
   Gillis, Dan
   Middleton, Jacqueline
   Wood, Michele
   Government, Rigolet Inuit Community
   Harper, Sherilee L.
TI "It depends horizontal ellipsis ": Inuit-led identification and
   interpretation of land-based observations for climate change adaptation
   in Nunatsiavut, Labrador
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Environment and health monitoring; Climate change; Community-led
   research; Inuit health; Nunatsiavut; Northern Canada
ID PUBLIC-HEALTH; MENTAL-HEALTH; QUALITATIVE RESEARCH;
   ENVIRONMENTAL-CHANGE; IMPACTS; RIGOLET; SYSTEMS; PLACE; WATER;
   COMMUNITIES
AB Climate change impacts on population health and wellbeing are spatially and socially distributed, and shape place-based capacities, constraints, and priorities for climate change adaptation. Inuit across the Circumpolar North have called for public health monitoring and response systems that integrate environmental and human health data, and provide localized information to support place-based adaptation strategies. The goal of this research was to qualitatively characterize how Inuit in Rigolet, Nunatsiavut, Labrador, Canada, identify, interpret, and use environmental and climatic observations to make decisions that will protect and promote their health and wellbeing in the context of climate change. Inuit community research leads conducted in-depth, semi-structured interviews with Rigolet Inuit to identify and contextualize environmental and climatic observations that were important for monitoring. Under the direction of community research leads, qualitative data from interviews were analyzed by the core research team using constant-comparative thematic analysis methods to ensure emergent findings were grounded in the voices and perspectives of Rigolet Inuit. Rigolet Inuit considered all climatic and environmental observations to be connected and emphasized the importance of collective, intergenerational knowledge in understanding and adapting to current and future climate change. The ways that Rigolet Inuit interpreted and used these observations for making decisions depended on perceived relevance and importance of observations, trustworthiness of information, and personal thresholds for risks. Knowledge shared by Rigolet Inuit demonstrated the nuanced, relational nature of how climatic and environmental observations are identified, interpreted, and used in decision-making for place-based climate change adaptation. It is important to prioritize these place-based and locally validated ways of knowing and learning about the land in the development of integrated monitoring systems to inform adaptation strategies that are based on a community's existing resilience and creativity, and premised on relationships among people and places. In so doing, we can identify entry points for improving the ways in which monitoring systems function to link environment and health data, and inform robust, evidence-based adaptation strategies and policies.
C1 [Sawatzky, Alexandra; Jones-Bitton, Andria; Harper, Sherilee L.] Univ Guelph, Dept Populat Med, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada.
   [Sawatzky, Alexandra; Cunsolo, Ashlee] Labrador Inst Mem Univ, Sch Arctic & Subarctic Studies, 219 Hamilton River Rd,POB 490,Stn B, Happy Valley Goose Bay, NF A0P 1E0, Canada.
   [Shiwak, Inez] Torngat Wildlife Plants & Fisheries Secretariat, 217 Hamilton River Rd, Happy Valley Goose Bay, NF A0P 1E0, Canada.
   [Flowers, Charlie; Gillis, Dan] Univ Guelph, Sch Comp Sci, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada.
   [Middleton, Jacqueline; Harper, Sherilee L.] Univ Alberta, Sch Publ Hlth, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada.
   [Wood, Michele] Nunatsiavut Govt, Dept Hlth & Social Dev, 218 Kelland Dr,POB 496,Stn C, Happy Valley Goose Bay, NF A0P 1C0, Canada.
   [Government, Rigolet Inuit Community] Rigolet Inuit Community Govt, POB 69, Rigolet, NF A0P 1C0, Canada.
C3 University of Guelph; University of Guelph; University of Alberta
RP Sawatzky, A; Harper, SL (corresponding author), Univ Guelph, Dept Populat Med, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada.; Sawatzky, A; Cunsolo, A (corresponding author), Labrador Inst Mem Univ, Sch Arctic & Subarctic Studies, 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, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada.
EM asawatzky@mun.ca; ashlee.cunsolo@mun.ca; sherilee.harper@ualberta.ca
RI Harper, Sherilee/L-4996-2013
OI Harper, Sherilee/0000-0001-7298-8765; Sawatzky,
   Alexandra/0000-0002-6079-1524
FU Canadian Institutes of Health Research; Health Canada's First Nations
   and Inuit Health Branch; Northern Scientific Training Program; POLAR
   Knowledge Canada
FX Sincerest thanks to the community of Rigolet and the many other people
   involved in this research for sharing their stories, wisdom, and
   hospitality. There are no words that can express how deeply humbled we
   are to be working alongside all of you, and how grateful we are for the
   guidance and leadership you provide that makes this work possible. We
   would like to acknowledge, honour, and pay respect to the homelands of
   the Innu and Inuit in Labrador, recognizing their ancestral and
   continued ties to the lands and waters wherein this research was
   conducted. We would also like to respectfully acknowledge the Dish with
   One Spoon territory, the Treaty lands and territory of the Mississaugas
   of the Credit, and the Between the Lakes Purchase (Treaty 3) on which
   the University of Guelph resides, and the traditional lands of the Cree,
   Blackfoot, and Metis peoples of Treaty 6 Territory where the University
   of Alberta resides. The authors would like to acknowledge Isaac Bell for
   his contributions to data team analysis sessions. Finally, we would like
   to thank our funders: Canadian Institutes of Health Research, Health
   Canada's First Nations and Inuit Health Branch, the Northern Scientific
   Training Program, and POLAR Knowledge Canada.
CR Abram N., 2019, IPCC special report on the ocean and cryosphere in a changing climate
   Adger WN, 2016, GLOBAL ENVIRON CHANG, V38, pA1, DOI 10.1016/j.gloenvcha.2016.03.009
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Alessa L, 2016, SUSTAIN SCI, V11, P91, DOI 10.1007/s11625-015-0295-7
   [Anonymous], 2015, NUNATSIAVUT INT J IN, V9, P24, DOI [10.18357/ijih92201214358, DOI 10.18357/IJIH92201214358]
   [Anonymous], 2017, 2016 CENS PROF RIG N
   Berry HL, 2018, NAT CLIM CHANGE, V8, P282, DOI 10.1038/s41558-018-0102-4
   Bezabih M., 2013, SOCIAL CAPITAL CLIMA, V135, P1
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Birks M, 2008, J RES NURS, V13, P68, DOI 10.1177/1744987107081254
   Boeije H, 2002, QUAL QUANT, V36, P391, DOI 10.1023/A:1020909529486
   Breslow S. J., 2017, ECOSYST HEALTH SUST, V3, P1, DOI [10.1080/20964129.2017.1411767, DOI 10.1080/20964129.2017.1411767]
   Breslow SJ, 2016, ENVIRON SCI POLICY, V66, P250, DOI 10.1016/j.envsci.2016.06.023
   Brunet ND, 2014, ECOL SOC, V19, DOI 10.5751/ES-06641-190269
   Butler CD, 2010, POSTGRAD MED J, V86, P230, DOI 10.1136/pgmj.2009.082727
   Charmaz K., 2006, CONSTRUCTING GROUNDE
   Clark DG, 2017, CAN MED ASSOC J, V189, pE135, DOI 10.1503/cmaj.161085
   Clark DG, 2016, SOC SCI MED, V169, P18, DOI 10.1016/j.socscimed.2016.09.026
   Comiso JC, 2014, WIRES CLIM CHANGE, V5, P389, DOI 10.1002/wcc.277
   Creswell JW, 2000, THEOR PRACT, V39, P124, DOI 10.1207/s15430421tip3903_2
   Cunsolo A, 2017, INT INDIG POLICY J, V2, DOI [10.18584/iipj.2017.8.4.6, DOI 10.18584/IIPJ.2017.8.4.6]
   Cunsolo A, 2018, NAT CLIM CHANGE, V8, P275, DOI 10.1038/s41558-018-0092-2
   Darroch F., 2014, CANADIAN J ACTION RE, V15, P22, DOI [DOI 10.33524/CJAR.V15I3.155, 10.33524/cjar.v15i3.155]
   Davidson-Hunt A, 2003, CONSERV ECOL, V8
   Driscoll DL, 2016, CLIMATIC CHANGE, V137, P455, DOI 10.1007/s10584-016-1687-0
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   Ellis NR, 2017, SOC SCI MED, V175, P161, DOI 10.1016/j.socscimed.2017.01.009
   Etches V, 2006, ANNU REV PUBL HEALTH, V27, P29, DOI 10.1146/annurev.publhealth.27.021405.102141
   Fereday J., 2006, International journal of qualitative methods, V5, P80, DOI [DOI 10.1177/160940690600500107, 10.1177/160940690600500107]
   Ford JD, 2019, NAT CLIM CHANGE, V9, P335, DOI 10.1038/s41558-019-0435-7
   Ford JD, 2018, GLOBAL ENVIRON CHANG, V49, P129, DOI 10.1016/j.gloenvcha.2018.02.006
   Ford JD, 2014, AM J PUBLIC HEALTH, V104, pE9, DOI 10.2105/AJPH.2013.301724
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Foster JW, 2012, RES NURS HEALTH, V35, P550, DOI 10.1002/nur.21494
   Fritz-Vietta NVM, 2017, J ENVIRON MANAGE, V199, P126, DOI 10.1016/j.jenvman.2017.05.034
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Glaw X, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917748215
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Hall WA, 2005, QUAL HEALTH RES, V15, P394, DOI 10.1177/1049732304272015
   Harper SL, 2015, EPIDEMIOL INFECT, V143, P3048, DOI 10.1017/S0950268814003744
   Harper SL, 2012, ECOHEALTH, V9, P89, DOI 10.1007/s10393-012-0762-x
   Harper SL, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-1874-3
   Harper SL, 2015, INT J CIRCUMPOL HEAL, V74, DOI 10.3402/ijch.v74.26290
   Harper SL, 2011, ECOHEALTH, V8, P93, DOI 10.1007/s10393-011-0690-1
   Houghton A, 2014, J ENVIRON PUBLIC HEA, V2014, DOI 10.1155/2014/132057
   Hulme M, 2010, GLOBAL ENVIRON CHANG, V20, P558, DOI 10.1016/j.gloenvcha.2010.07.005
   IPCC, 2018, GLOB WARM 1 5C SUMM
   ITK, 2019, NAT IN CLIM CHANG ST
   Kanatami Inuit Tapiriit., 2018, National Inuit Strategy on Research
   Kovats RS, 2006, EUR J PUBLIC HEALTH, V16, P592, DOI 10.1093/eurpub/ckl049
   Kvale Steinar, 1996, INTERVIEWS INTRO QUA
   Lacey J, 2018, NAT CLIM CHANGE, V8, P22, DOI 10.1038/s41558-017-0010-z
   Loring PA, 2018, ECOL ECON, V152, P367, DOI 10.1016/j.ecolecon.2018.06.020
   MacDonald JP, 2015, SOC SCI MED, V141, P133, DOI 10.1016/j.socscimed.2015.07.017
   MacDonald JP, 2013, GLOBAL ENVIRON CHANG, V23, P360, DOI 10.1016/j.gloenvcha.2012.07.010
   Malterud K, 2001, LANCET, V358, P483, DOI 10.1016/S0140-6736(01)05627-6
   Martin D, 2007, ARCTIC, V60, P195
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Milford C, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917727189
   Moulton AD, 2017, J PUBLIC HEALTH MAN, V23, P618, DOI 10.1097/PHH.0000000000000550
   Nakamura N, 2015, SOC CULT GEOGR, V16, P165, DOI 10.1080/14649365.2014.959549
   Navi M, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14050552
   Pestronk RM, 2010, PREV CHRONIC DIS, V7
   Reid H., 2009, PARTICIPATORY LEARNI, P11
   Rodríguez LO, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020511
   Roy J., 2018, Global Warming of 1.5?C. An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Sawatzky A, 2019, Routledge Handbook of Indigenous Wellbeing, P223
   Sawatzky A, 2020, CLIMATIC CHANGE, V160, P45, DOI 10.1007/s10584-019-02647-8
   Sawatzky A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122706
   Semenza JC, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP2198
   Semenza JC, 2015, INT J ENV RES PUB HE, V12, P6333, DOI 10.3390/ijerph120606333
   Semenza JC, 2012, ENVIRON HEALTH PERSP, V120, P385, DOI 10.1289/ehp.1103805
   Simonds VW, 2013, AM J PUBLIC HEALTH, V103, P2185, DOI 10.2105/AJPH.2012.301157
   Smith LindaTuhiwai., 2012, Decolonizing Methodologies: Research and Indigenous Peoples, V2nd
   Thornberg R., 2014, SAGE HDB QUALITATIVE, P153, DOI DOI 10.4135/9781446282243.N11
   Tong S, 2019, ENVIRON RES, V174, P9, DOI 10.1016/j.envres.2019.04.012
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   Vasileiou K, 2018, BMC MED RES METHODOL, V18, DOI 10.1186/s12874-018-0594-7
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Wenzel GW, 2009, POLAR RES, V28, P89, DOI 10.1111/j.1751-8369.2009.00098.x
   WHO, 2017, WHO PUBL HLTH SURV
   Williams P, 2018, REG ENVIRON CHANGE, V18, P547, DOI 10.1007/s10113-017-1220-7
   Willox AC, 2015, REG ENVIRON CHANGE, V15, P169, DOI 10.1007/s10113-014-0630-z
   Willox AC, 2013, EMOT SPACE SOC, V6, P14, DOI 10.1016/j.emospa.2011.08.005
   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
NR 89
TC 7
Z9 7
U1 0
U2 13
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 2021
VL 21
IS 2
AR 54
DI 10.1007/s10113-021-01772-4
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA US4UY
UT WOS:000697427500001
DA 2025-01-10
ER

PT J
AU Jones, GM
   Gutiérrez, RJ
   Tempel, DJ
   Zuckerberg, B
   Peery, MZ
AF Jones, Gavin M.
   Gutierrez, Ralph J.
   Tempel, Douglas J.
   Zuckerberg, Benjamin
   Peery, M. Zachariah
TI Using dynamic occupancy models to inform climate change adaptation
   strategies for California spotted owls
SO JOURNAL OF APPLIED ECOLOGY
LA English
DT Article
DE California spotted owl; climate change adaptation; climate refugia;
   colonization; extinction; microclimate; montane species; occupancy
   modelling; population model; Strix occidentalis
ID SITE OCCUPANCY; STRIX-OCCIDENTALIS; HABITAT; COLONIZATION; EXTINCTION;
   RESPONSES; OREGON; FOREST; SHIFTS; FIRE
AB 1. Management strategies intended to reduce the impacts of future climate change on montane species ought to consider fine-scale variation in microclimate (e.g. because of topography) and vegetation conditions that create climate refugia. Identifying potential refugia and quantifying their importance is facilitated by analytical approaches that explicitly model associations between dynamic population processes and environmental conditions.
   2. We developed a population model to project future site occupancy dynamics in spotted owls Strix occidentalis under climate change and forest-management scenarios. The model was parameterized with statistical relationships derived from dynamic occupancy analyses applied to 20 years of spotted owl presence/nondetection data in the Sierra Nevada, California, USA. This approach allowed us to link colonization and extinction processes with spatial and temporal variation in vegetation characteristics, microclimate and weather while accounting for imperfect detection.
   3. Occupancy analyses indicated that greater prevalence of closed-canopy forest in owl sites was associated with lower extinction and higher colonization rates. Both rates increased following consecutive warm summers, but warm summer temperatures had a greater effect on extinction than colonization. Following the warmest summers, extinction was most likely to occur in owl sites with cool microclimates and relatively little closed-canopy forest, but extinction became considerably less likely in cool microclimates when greater amounts of closed-canopy forest were present. By comparison, extinction probability was lower at owl sites with warmer microclimates and relatively invariant to the amount of closed-canopy forest present.
   4. Simulations of our population model suggested that managing for greater amounts of closed-canopy forest may ameliorate the potential negative effects of warm summer temperatures by the mid-century, especially at high elevations. The model also allowed us to identify sites where potential management efforts would be most effective.
   5. Synthesis and applications. By modelling environmental processes influencing site colonization and extinction dynamics, we were able to identify features of potential climate change refugia for a montane species of management interest that could be promoted by land managers to increase species persistence. We also provided a general, process-based population modelling approach for projecting changes in animal populations and developing habitat-based climate change adaptation strategies using presence/nondetection data.
C1 [Jones, Gavin M.; Tempel, Douglas J.; Zuckerberg, Benjamin; Peery, M. Zachariah] Univ Wisconsin, Dept Forest & Wildlife Ecol, 1630 Linden Dr, Madison, WI 53706 USA.
   [Gutierrez, Ralph J.] Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, 1980 Folwell Ave, St Paul, MN 55108 USA.
C3 University of Wisconsin System; University of Wisconsin Madison;
   University of Minnesota System; University of Minnesota Twin Cities
RP Jones, GM (corresponding author), Univ Wisconsin, Dept Forest & Wildlife Ecol, 1630 Linden Dr, Madison, WI 53706 USA.
EM gavin.jones@wisc.edu
RI Zuckerberg, Benjamin/AAL-9623-2021
OI Jones, Gavin/0000-0002-5102-1229
FU USDA Forest Service Region 5; USDA Forest Service Pacific Southwest
   Research Station; U.S. Fish and Wildlife Service; California Department
   of Water Resources; California Department of Fish and Wildlife;
   California Department of Forestry and Fire Protection; Sierra Nevada
   Conservancy; University of Minnesota Agricultural Experiment station;
   University of California-Berkeley Blodgett Forest Research Station
FX This paper is Sierra Nevada Adaptive Management Project (SNAMP)
   Publication Number 45. SNAMP is funded by USDA Forest Service Region 5,
   USDA Forest Service Pacific Southwest Research Station, U.S. Fish and
   Wildlife Service, California Department of Water Resources, California
   Department of Fish and Wildlife, California Department of Forestry and
   Fire Protection, and the Sierra Nevada Conservancy. The University of
   Minnesota Agricultural Experiment station provided support to RJG. We
   thank two anonymous reviewers for helpful comments on an earlier version
   of the manuscript. We thank current and former project leaders, USFS
   biologists and staff, and the University of California-Berkeley Blodgett
   Forest Research Station for support and housing.
CR Agee JK, 2005, FOREST ECOL MANAG, V211, P83, DOI 10.1016/j.foreco.2005.01.034
   [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   [Anonymous], 2002, Quantitative Conservation Biology
   Arnold TW, 2010, J WILDLIFE MANAGE, V74, P1175, DOI 10.2193/2009-367
   Berigan WJ, 2012, J FOREST, V110, P299, DOI 10.5849/jof.11-018
   Cade BS, 2015, ECOLOGY, V96, P2370, DOI 10.1890/14-1639.1
   Clark DA, 2013, J WILDLIFE MANAGE, V77, P672, DOI 10.1002/jwmg.523
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   FOGEL R, 1976, CAN J BOT, V54, P1152, DOI 10.1139/b76-124
   Glenn EM, 2010, BIOL CONSERV, V143, P2543, DOI 10.1016/j.biocon.2010.06.021
   Hines J.E., 2006, PROGRAM PRESENCE VER
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Lee DE, 2015, CONDOR, V117, P228, DOI 10.1650/CONDOR-14-155.1
   Lee DE, 2013, J WILDLIFE MANAGE, V77, P1327, DOI 10.1002/jwmg.581
   Lee DE, 2012, CONDOR, V114, P792, DOI 10.1525/cond.2012.110147
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Luoto M, 2008, GLOBAL CHANGE BIOL, V14, P483, DOI 10.1111/j.1365-2486.2007.01527.x
   MacKenzie DI, 2003, ECOLOGY, V84, P2200, DOI 10.1890/02-3090
   MASER Z, 1985, CAN J ZOOL, V63, P1084, DOI 10.1139/z85-162
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Noon BR, 2002, AUK, V119, P311, DOI 10.1642/0004-8038(2002)119[0311:SRATSO]2.0.CO;2
   Peery MZ, 2013, AUK, V130, P132, DOI 10.1525/auk.2012.12093
   Peery MZ, 2012, GLOBAL CHANGE BIOL, V18, P865, DOI 10.1111/j.1365-2486.2011.02564.x
   Rapacciuolo G, 2014, GLOBAL CHANGE BIOL, V20, P2841, DOI 10.1111/gcb.12638
   Roberts SL, 2011, BIOL CONSERV, V144, P610, DOI 10.1016/j.biocon.2010.11.002
   Santika T, 2014, DIVERS DISTRIB, V20, P786, DOI 10.1111/ddi.12189
   Seamans ME, 2006, ETHOL ECOL EVOL, V18, P99, DOI 10.1080/08927014.2006.9522716
   Sears MW, 2011, INTEGR COMP BIOL, V51, P666, DOI 10.1093/icb/icr111
   Sekercioglu CH, 2008, CONSERV BIOL, V22, P140, DOI 10.1111/j.1523-1739.2007.00852.x
   Suggitt AJ, 2011, OIKOS, V120, P1, DOI 10.1111/j.1600-0706.2010.18270.x
   Tempel DJ, 2014, ECOL APPL, V24, P2089, DOI 10.1890/13-2192.1
   Tempel DJ, 2013, CONSERV BIOL, V27, P1087, DOI 10.1111/cobi.12074
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   Wilson T. M., 2013, GTR880 PAC NW RES ST
   Yackulic CB, 2015, ECOLOGY, V96, P16, DOI 10.1890/14-1361.1
   Yackulic CB, 2014, ECOLOGY, V95, P265, DOI 10.1890/13-0012.1
NR 37
TC 19
Z9 23
U1 2
U2 49
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-8901
EI 1365-2664
J9 J APPL ECOL
JI J. Appl. Ecol.
PD JUN
PY 2016
VL 53
IS 3
BP 895
EP 905
DI 10.1111/1365-2664.12600
PG 11
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DR7FM
UT WOS:000380065400029
OA Bronze
DA 2025-01-10
ER

PT J
AU Palosaari, M
   Autio, A
   Mbinga, E
   Pellikka, P
   Johansson, T
AF Palosaari, Maiju
   Autio, Antti
   Mbinga, Elizabeth
   Pellikka, Petri
   Johansson, Tino
TI The biased narrative of vulnerable women: gender analysis of smallholder
   farmers' contextual vulnerability to climate change in the Taita Hills,
   Kenya
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptive capacity; Agriculture; Climate change; Contextual
   vulnerability; Discourse; Gender analysis
ID CHANGE ADAPTATION; POLITICAL ECOLOGY; PARTICIPATION; PERSPECTIVES;
   EMPOWERMENT; RESILIENCE; FRAMEWORK; AGENCY; POLICY
AB Climate change is increasing challenges in the agricultural sector for smallholder farmers. A key element in successful formulation of adaptation strategies is the analysis of vulnerability to climate change. This study examines smallholder farmers' contextual vulnerability to climate change through their perceived vulnerability and focuses on gendered narratives and power structures in the Taita Hills, Kenya. The key methods are semi-structured interviews (N = 28) and a critical discourse analysis. The collected data consists of two-headed household interviews, single-headed household interviews, and key informant interviews with different stakeholders from the agriculture sector. Results indicate that contextual vulnerability can form a baseline for understanding individuals' possibilities to adapt to changing environmental and climatic conditions. Outcome vulnerability analysis, that treats vulnerability as an endpoint output following mitigation actions, offers highly relevant information, but it is not alone enough for understanding the challenges and possibilities of climate change adaptation. Women and men farmers' coping and adaptation response strategies did not differ notably, which supports the criticism of the gendered nature of vulnerability discourse. Differences in strategies appeared to be more linked in intersectional aspects between farmers in single-headed and two-headed households. Furthermore, the vulnerable women narrative did not reflect women farmers' agency and centrality in the agriculture sector. The discourse of climate change adaptation should be corrected towards addressing structural challenges that can place people in a vulnerable position within diverse contextual conditions and intersecting attributes.
C1 [Palosaari, Maiju; Autio, Antti; Pellikka, Petri; Johansson, Tino] Univ Helsinki, Dept Geosci & Geog, Gustaf Hallstromin Katu 2, FIN-00014 Helsinki, Finland.
   [Mbinga, Elizabeth] Kenyatta Univ, Sch Environm Studies, POB 43844 00100, Nairobi, Kenya.
C3 University of Helsinki; Kenyatta University
RP Autio, A (corresponding author), Univ Helsinki, Dept Geosci & Geog, Gustaf Hallstromin Katu 2, FIN-00014 Helsinki, Finland.
EM antti.j.autio@helsinki.fi
OI Pellikka, Petri/0000-0002-5996-9268; Autio, Antti/0000-0002-2054-4940;
   Johansson, Tino Petri/0000-0002-2381-5144
FU University of Helsinki (including Helsinki University Central Hospital);
   Academy of Finland [318645]
FX Open Access funding provided by University of Helsinki (including
   Helsinki University Central Hospital). This research is a part of the
   SMARTLAND project (Environmental sensing of ecosystem services for
   developing a climate-smart landscape framework to improve food security
   in East Africa), funded by the Academy of Finland (grant no. 318645).
CR Abrahams D, 2017, CURR CLIM CHANGE REP, V3, P233, DOI 10.1007/s40641-017-0080-z
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2003, ECON GEOGR, V79, P387
   Alkire S, 2013, WORLD DEV, V52, P71, DOI 10.1016/j.worlddev.2013.06.007
   Anderson CL, 2017, WORLD DEV, V90, P169, DOI 10.1016/j.worlddev.2016.09.005
   [Anonymous], 2000, Africover Multipurpose Land Cover Databases for Kenya
   [Anonymous], 2016, Climate Risk Profile for Taita Taveta: Kenya County Climate Risk Profile Series
   [Anonymous], 2019, OpenStreetMap
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Autio A, 2021, AGR SYST, V194, DOI 10.1016/j.agsy.2021.103284
   Bikketi E, 2016, GENDER PLACE CULT, V23, P1432, DOI 10.1080/0966369X.2016.1204996
   Bisaro A, 2010, CLIM DEV, V2, P161, DOI 10.3763/cdev.2010.0037
   Boitt M. K., 2015, Journal of Agricultural Informatics, V6, P23
   Bravman B., 1998, MAKING ETHNIC WAYS C
   Bukari FIM., 2017, Ghana J Dev Stud, V14, P121, DOI [10.4314/gjds.v14i2.7, DOI 10.4314/GJDS.V14I2.7]
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Carney D., 1998, SUSTAINABLE RURAL LI, P3
   Cassidy L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04963-170411
   County Government of Taita Taveta, 2018, Taita Taveta County Integrated Development Plan 2018-2022
   Crenshaw Kimberle, 1989, University of Chicago Legal Forum, P139, DOI DOI 10.4324/9780429500480-5
   Dankelman I., 2010, Gender and climate change: An introduction, V1, DOI [10.4324/9781849775274, DOI 10.4324/9781849775274, doi:10.4324/9781849775274]
   Daoud M, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01785-z
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Fellmann T., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P37
   Fontana M., 2010, GENDER DIMENSIONS AG, P1
   Forsyth T, 2022, POLIT GEOGR, V98, DOI 10.1016/j.polgeo.2022.102691
   Centeno EF, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083382
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gannon KE, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.793
   Glazebrook T, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10070267
   Goodrich CG, 2019, ENVIRON DEV, V31, P9, DOI 10.1016/j.envdev.2018.11.003
   Harris A., 1972, Population Growth: Anthropological Implications, P180
   Harris G., 1962, Marriage in Tribal Societies, P55
   Hohenthal J, 2018, J POLIT ECOL, V25, P1
   Hopkins D, 2015, AMBIO, V44, P110, DOI 10.1007/s13280-014-0525-8
   Ibrahim S, 2007, OXF DEV STUD, V35, P379, DOI 10.1080/13600810701701897
   Ionescu C, 2009, ENVIRON MODEL ASSESS, V14, P1, DOI 10.1007/s10666-008-9179-x
   Jackson C, 2007, DEV CHANGE, V38, P107, DOI 10.1111/j.1467-7660.2007.00405.x
   Jaetzold R, 2012, Farm Management Handbook of Kenya, VII, P1
   Japan Aerospace Exploration Agency, 2015, ALOS GLOBAL DIGITAL
   Joakim EP, 2015, ENVIRON HAZARDS-UK, V14, P137, DOI 10.1080/17477891.2014.1003777
   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
   Kehler S, 2021, ENVIRON SCI POLICY, V124, P471, DOI 10.1016/j.envsci.2021.07.025
   Kenya Land Alliance, 2018, Women, Land and Property Rights and the Land Reforms in Kenya. Policy Brief
   Kenya LO, 2013, The Constitution of Kenya: 2010. Chief Registrar of the Judiciary
   Kenya National Bureau of Statistics, 2019, 2019 Kenya population and housing census, volume I: Population by county and sub-county, VI
   Kenya National Bureau of Statistics, 2019, Kenya Population and Housing Census, VII
   Kuran CHA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101826
   MacGillivray BH, 2018, ENVIRON SCI POLICY, V89, P116, DOI 10.1016/j.envsci.2018.07.014
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Maeda EE, 2010, GEOMORPHOLOGY, V123, P279, DOI 10.1016/j.geomorph.2010.07.019
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Miller F, 2010, ECOL SOC, V15
   Mkangi George., 1983, The Social Cost of Small Families and Land Reform. A Case Study of the Wataita of Kenya
   Mohan G, 2002, PROG HUM GEOG, V26, P191, DOI 10.1191/0309132502ph364ra
   Mwalusepo S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130427
   Nelson R, 2007, Natural Heritage Trust, DOI [10.13140/RG.2.2.22470.73281, DOI 10.13140/RG.2.2.22470.73281]
   Nelson S., 2016, A gender-responsive approach to climate-smart agriculture: evidence and guidance for practitioners
   Nelson V., 2002, Gender and Development, V10, P51, DOI 10.1080/13552070215911
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   Nightingale A, 2006, ENVIRON PLANN D, V24, P165, DOI 10.1068/d01k
   Nyantakyi-Frimpong H, 2020, GENDER PLACE CULT, V27, P1536, DOI 10.1080/0966369X.2019.1693344
   Nyantakyi-Frimpong H, 2017, GEOFORUM, V86, P63, DOI 10.1016/j.geoforum.2017.09.003
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Okpara UT, 2016, EARTH SYST DYNAM, V7, P89, DOI 10.5194/esd-7-89-2016
   Osborne N, 2015, PLAN THEOR, V14, P130, DOI 10.1177/1473095213516443
   Patulny RV, 2007, INT J SOCIOL SOC POL, V27, P32, DOI 10.1108/01443330710722742
   Pellikka P KE., 2013, Dev. Earth Surf. Process, V16, P165, DOI [10, DOI 10.1016/B978-0-444-59559-1.00013-X]
   Putnam R. D., 2000, BOWLING ALONE COLLAP, DOI [10.1145/358916.361990, DOI 10.1145/358916.361990]
   Remling E, 2015, CLIM DEV, V7, P16, DOI 10.1080/17565529.2014.886992
   Rose Gillian., 1993, FEMINISM GEOGRAPHY L
   Saldana J., 2011, Fundamentals of Qualitative Research
   Schürmann A, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104625
   Shepherd A., 2013, GEOGRAPHY POVERTY DI
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   Smith JH., 2008, Bewitching Development: Witchcraft and the Reinvention of Development in Neoliberal Kenya, DOI [10.7208/chicago/9780226764597.001.0001, DOI 10.7208/CHICAGO/9780226764597.001.0001]
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Ulrichs M, 2015, CCAFS Working Paper no. 108
   Van Aelst K, 2018, CLIM DEV, V10, P495, DOI 10.1080/17565529.2017.1318745
   Vogt N., 2001, Land Use and Socio-Economic Structure of Taita Tevata District (Kenya)-Potentials and Constraints, P25
   Wagenaar H., 2014, Meaning in action: interpretation and dialogue in policy analysis
   Wangui EE, 2018, CLIM DEV, V10, P369, DOI 10.1080/17565529.2017.1301867
   Whitfield S, 2016, PATHWAY SUSTAIN, P1
   World Meteorological Organization, 2021, State of the Climate in Africa
   ,, 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 92
TC 0
Z9 0
U1 6
U2 6
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 AUG
PY 2024
VL 29
IS 6
AR 51
DI 10.1007/s11027-024-10147-z
PG 29
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XH0I7
UT WOS:001260670500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Sreeraj, P
   Swapna, P
   Krishnan, R
   Nidheesh, AG
   Sandeep, N
AF Sreeraj, P.
   Swapna, P.
   Krishnan, R.
   Nidheesh, A. G.
   Sandeep, N.
TI Extreme sea level rise along the Indian Ocean coastline: observations
   and 21st century projections
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE extreme sea level; Indian Ocean warming; mean sea-level rise;
   intensifying tropical cyclones
ID HIGH WATERS; TEMPERATURE; TRENDS
AB Anthropogenic sea-level rise poses challenges to coastal areas globally. The combined influence of rising mean sea level (MSL) and storm surges exacerbate the extreme sea level (ESL). Increasing ESL poses a major challenge for climate change adaptation of nearly 2.6 billion inhabitants in the Indian Ocean region. Yet, knowledge about past occurrences of ESL and its progression is limited. Combining multiple tide-gauge and satellite-derived sea-level data, we show that ESL has become more frequent, longer-lasting and intense along the Indian Ocean coastlines. We detect a 2-3-fold increase in ESL occurrence, with higher risk along the Arabian Sea coastline and the Indian Ocean Islands. Our results reveal that rising MSL is the primary contributor to ESL increase (more than 75%), with additional contribution from intensifying tropical cyclones. A two-fold increase in ESL along the Indian Ocean coastline is detected with an additional 0.5 degrees C warming of the Indian Ocean relative to pre-industrial levels. Utilizing the likely range (17th-83rd percentile as the spread) of Intergovernmental Panel on Climate Change MSL projections with considerable inter-model spread, we show that the Indian Ocean region will be exposed annually to the present-day 100 year ESL event by 2100, irrespective of the greenhouse-gas emission pathways, and by 2050 under the moderate-emission-mitigation-policy scenario. The study provides a robust regional estimate of ESL and its progression with rising MSL, which is important for climate change adaptation policies.
C1 [Sreeraj, P.; Swapna, P.; Krishnan, R.; Nidheesh, A. G.; Sandeep, N.] Indian Inst Trop Meteorol, Ctr Climate Change Res, Pune, Maharashtra, India.
   [Sreeraj, P.; Sandeep, N.] Savitribai Phule Pune Univ, Dept Atmospher & Space Sci, Pune, Maharashtra, India.
   [Nidheesh, A. G.] Catholic Univ Louvain, Earth & Life Inst, Louvain La Neuve, Belgium.
C3 Ministry of Earth Sciences (MoES) - India; Indian Institute of Tropical
   Meteorology (IITM); Centre for Climate Change Research - India;
   Savitribai Phule Pune University; Universite Catholique Louvain
RP Swapna, P (corresponding author), Indian Inst Trop Meteorol, Ctr Climate Change Res, Pune, Maharashtra, India.
EM swapna@tropmet.res.in
OI SREERAJ, P/0000-0002-4233-6202; Gangadharan,
   Nidheesh/0000-0002-3598-1107
FU CSIR, Gov. India
FX The authors thank Director IITM for providing support to carry out this
   research. The authors also thank Indian National Centre for Ocean
   Information Services (INCOIS) and Survey of India for providing
   high-frequency sea-level data along the Indian coast and UHSLC for data
   along Indian Ocean Rim countries. The first author is funded with a
   research fellowship by the CSIR, Gov. India. We acknowledge the
   sea-level rise projections tool, NASA and WCRP CMIP6 for the sea-level
   projections and also FoxKemper et al (2021) for the de-drifted sea-level
   data from CMIP6 models. We thank Dr S R Shetye for the discussions.
CR Alory G, 2009, J CLIMATE, V22, P93, DOI 10.1175/2008JCLI2330.1
   [Anonymous], 2001, INTRO STAT MODELING
   [Anonymous], 1964, IND TID TABL
   Antony C, 2016, GLOBAL PLANET CHANGE, V140, P59, DOI 10.1016/j.gloplacha.2016.03.008
   Balaji M, 2018, INT J CLIMATOL, V38, P2819, DOI 10.1002/joc.5463
   Batstone C, 2013, OCEAN ENG, V71, P28, DOI 10.1016/j.oceaneng.2013.02.003
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Boretti A, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10020625
   Chatterjee A., 2022, CMIP6 MODELS, DOI [10.21203/rs.3.rs-1192038/v1, DOI 10.21203/RS.3.RS-1192038/V1]
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   Deshpande M, 2021, CLIM DYNAM, V57, P3545, DOI 10.1007/s00382-021-05880-z
   Feng JL, 2019, EARTH SPACE SCI, V6, P1942, DOI 10.1029/2019EA000653
   Foreman M, 2004, MANUAL TIDAL CURRENT, V78
   Fox-Kemper B., 2021, Climate Change 2021: The Physical Science Basis, DOI DOI 10.1017/9781009157896.011.1212
   Frederikse T, 2020, NATURE, V584, P393, DOI 10.1038/s41586-020-2591-3
   Frölicher TL, 2018, NATURE, V560, P360, DOI 10.1038/s41586-018-0383-9
   Sen Gupta A, 2013, J CLIMATE, V26, P8597, DOI 10.1175/JCLI-D-12-00521.1
   Huang BY, 2017, J CLIMATE, V30, P8179, DOI 10.1175/JCLI-D-16-0836.1
   Ingole B., 2005, Encyclopedia of Coastal Sciences, P546, DOI [10.1007/1-4020-3880-1_178, DOI 10.1007/1-4020-3880-1_178]
   Ishii M, 2003, MON WEATHER REV, V131, P51, DOI 10.1175/1520-0493(2003)131<0051:HOSTAW>2.0.CO;2
   Kendall M. G., 1948, Rank correlation methods.
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Lobeto H, 2018, J GEOPHYS RES-OCEANS, V123, P8284, DOI 10.1029/2018JC014487
   Marcos M, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC004912
   Mawdsley RJ, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00029
   Menéndez M, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005997
   Muis S, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00263
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Murakami H, 2017, NAT CLIM CHANGE, V7, P885, DOI 10.1038/s41558-017-0008-6
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Panickal S., 2020, SEA LEVEL RISE, V175, P175
   Pugh D., 2014, SEA LEVEL SCI UNDERS, pp 407, DOI [DOI 10.1017/CBO9781139235778, 10.1017/CBO9781139235778]
   Riyas CA, 2020, REG STUD MAR SCI, V33, DOI 10.1016/j.rsma.2019.100963
   Roxy M.K., 2020, ASSESSMENT CLIMATE C, DOI [10.1007/978-981-15-4327-2_10, DOI 10.1007/978-981-15-4327-2_10]
   SMIRNOV N, 1948, ANN MATH STAT, V19, P279, DOI 10.1214/aoms/1177730256
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Swapna P, 2017, GEOPHYS RES LETT, V44, P10560, DOI 10.1002/2017GL074706
   Swapna P, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL094650
   Tebaldi C, 2021, NAT CLIM CHANGE, V11, P746, DOI 10.1038/s41558-021-01127-1
   Unnikrishnan AS, 2007, GLOBAL PLANET CHANGE, V57, P301, DOI 10.1016/j.gloplacha.2006.11.029
   Unnikrishnan AS, 2015, CURR SCI INDIA, V108, P966
   Unnikrishnan AS, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2003JC002217
   Vellore R.K., 2020, Assessment of Climate Change over the Indian Region, P155, DOI [10.1007/978-981-15-4327-2_8, DOI 10.1007/978-981-15-4327-2_8]
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   Williams J, 2016, GEOPHYS RES LETT, V43, P6410, DOI 10.1002/2016GL069522
   Woodworth PL, 2004, J CLIMATE, V17, P1190, DOI 10.1175/1520-0442(2004)017<1190:EFSCIE>2.0.CO;2
   Zanna L, 2019, P NATL ACAD SCI USA, V116, P1126, DOI 10.1073/pnas.1808838115
   Zhang Y, 1997, J CLIMATE, V10, P1004, DOI 10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2
NR 49
TC 8
Z9 8
U1 1
U2 15
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD NOV 1
PY 2022
VL 17
IS 11
AR 114016
DI 10.1088/1748-9326/ac97f5
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 5N4GI
UT WOS:000871747800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Yong, WTL
   Thien, VY
   Rupert, R
   Rodrigues, KF
AF Yong, Wilson Thau Lym
   Thien, Vun Yee
   Rupert, Rennielyn
   Rodrigues, Kenneth Francis
TI Seaweed: A potential climate change solution
SO RENEWABLE & SUSTAINABLE ENERGY REVIEWS
LA English
DT Article
DE Animal fodder; Biofuel; Blue carbon; Protein source; Regenerative
   farming; Renewable plastic; Soil supplements; Sustainable livelihood
ID BLUE CARBON; ASPARAGOPSIS-TAXIFORMIS; MARINE MACROPHYTES; ECOSYSTEM
   SERVICES; METHANE PRODUCTION; CHANGE MITIGATION; NEGATIVE CARBON; EDIBLE
   FILMS; DEAD ZONES; MACROALGAE
AB Climate change and environmental deterioration have spurred a blue carbon economic model in which fuel and food may be produced from marine ecosystems through the processes of carbon sequestration, carbon storage, and carbon harvest to substitute fossil products. This review discusses the potential of seaweed as a blue carbon sink and a renewable and sustainable energy source in the biogenic carbon cycle in the context of climate change adaptation and mitigation strategies. Data were collected from more than 100 scientific articles, reliable organizations, and industry resources to a concise explanation and novel perspective on how seaweed can contribute considerably to the newly emerging blue carbon economy and revolutionary tools to combat climate change in the long term. According to the findings, seaweed has all the features required to be classified as a blue carbon habitat and a massive carbon sink. Besides its function in climate change adaptation and mitigation, seaweed is also a prelude to attaining a bioeconomy by lowering the reliance on fossil fuel. Documented evidence supports various applications in sectors as diverse as human meals, livestock feed, biofuels, and renewable feedstocks. However, the literature also identifies barriers to the implementation of seaweed farming operations. This review provides evidence that seaweed farming and industries are potential alternatives for future energy, decarbonization, and food security, mitigating global climate change and attaining economic growth and sustainable livelihoods.
C1 [Yong, Wilson Thau Lym; Rupert, Rennielyn; Rodrigues, Kenneth Francis] Univ Malaysia Sabah, Biotechnol Res Inst, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.
   [Yong, Wilson Thau Lym] Univ Malaysia Sabah, Seaweed Res Unit, Fac Sci & Nat Resources, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.
   [Thien, Vun Yee] Xiamen Univ Malaysia, Innovat Ctr, Jalan Sunsuria, Sepang 43900, Selangor Darul, Malaysia.
C3 Universiti Malaysia Sabah; Universiti Malaysia Sabah; Universiti
   Kebangsaan Malaysia; Xiamen University Malaysia Campus
RP Yong, WTL (corresponding author), Univ Malaysia Sabah, Biotechnol Res Inst, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.; Yong, WTL (corresponding author), Univ Malaysia Sabah, Seaweed Res Unit, Fac Sci & Nat Resources, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.
EM wilsonyg@ums.edu.my
RI RODRIGUES, KENNETH/E-6973-2010; Thien, Vunyee/AAI-5116-2021; Yong,
   Wilson Thau Lym/B-7058-2012
OI Yong, Wilson Thau Lym/0000-0001-8431-8486
FU UK Research and Innovation - Global Challenges Research Fund (UKRI-GCRF)
   under the "GlobalSeaweedSTAR" Programme [GSS/RF/025]; Malaysian Ministry
   of Higher Education under the Prototype Development Research Grant
   Scheme [PRGS/2/2019/STG05/UMS/02/1]
FX The authors are grateful for funding from the UK Research and Innovation
   -Global Challenges Research Fund (UKRI-GCRF) under the
   "GlobalSeaweedSTAR" Programme (Grant Ref.: GSS/RF/025) and the Malaysian
   Ministry of Higher Education under the Prototype Development Research
   Grant Scheme (Grant Ref.: PRGS/2/2019/STG05/UMS/02/1).
CR Abbott DW, 2020, ANIMALS-BASEL, V10, DOI 10.3390/ani10122432
   Ali O, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10030531
   Ali O, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0216710
   Alongi DM, 2018, SPRINGERBRIEF CLIMAT, P1, DOI 10.1007/978-3-319-91698-9
   Alves R. C. C., 2016, African Journal of Microbiology Research, V10, P312
   Anand A, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040597
   Anderson PK, 2004, TRENDS ECOL EVOL, V19, P535, DOI 10.1016/j.tree.2004.07.021
   [Anonymous], 2012, Blue Carbon Policy Framework: Based on the discussion of the International Blue Carbon Policy Working Group
   [Anonymous], 1980, Seaweeds and their uses, DOI [DOI 10.1007/978-94-009-5806-7_2, DOI 10.1007/978-94-009-5806-72]
   Arasaki S, 1981, LOW CALORIE HIGH NUT
   Aresta M, 2005, FUEL PROCESS TECHNOL, V86, P1679, DOI 10.1016/j.fuproc.2005.01.016
   Asha A., 2012, Journal of Biopesticides, V5, P129
   Barrón C, 2015, GLOBAL BIOGEOCHEM CY, V29, P1725, DOI 10.1002/2014GB005056
   Bay-Larsen I, 2018, J RURAL STUD, V59, P98, DOI 10.1016/j.jrurstud.2018.02.004
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Bruhn A, 2016, AQUACULT ENV INTERAC, V8, P619, DOI 10.3354/aei00200
   Butbunchu N, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02834
   Cai Junning, 2013, FAO Fisheries and Aquaculture Technical Paper, V580, P5
   Capron ME, 2020, ENERGIES, V13, DOI 10.3390/en13184972
   Chen HL, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04234-y
   Chen YP, 2020, FOLIA MICROBIOL, V65, P591, DOI 10.1007/s12223-019-00766-4
   Chia WY, 2020, ENVIRON SCI ECOTECH, V4, DOI 10.1016/j.ese.2020.100065
   Clarens AF, 2010, ENVIRON SCI TECHNOL, V44, P1813, DOI 10.1021/es902838n
   Cooper TA, 2013, WOODHEAD PUBL FOOD S, V244, P108, DOI 10.1533/9780857098979.108
   Costa M, 2021, J ANIM PHYSIOL AN N, V105, P1075, DOI 10.1111/jpn.13509
   Czyrnek-Delêtre MM, 2017, APPL ENERG, V196, P34, DOI 10.1016/j.apenergy.2017.03.129
   Dawczynski C, 2007, FOOD CHEM, V103, P891, DOI 10.1016/j.foodchem.2006.09.041
   Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
   Diffey S., 2021, FAO FISH AQUAC CIRC, V1229, DOI DOI 10.4060/CB5670EN
   du Jardin P, 2015, SCI HORTIC-AMSTERDAM, V196, P3, DOI 10.1016/j.scienta.2015.09.021
   Duarte CM, 2022, NAT SUSTAIN, V5, P185, DOI 10.1038/s41893-021-00773-9
   Duarte CM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00100
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Duarte CM, 1996, LIMNOL OCEANOGR, V41, P1758, DOI 10.4319/lo.1996.41.8.1758
   Duarte CM, 2005, BIOGEOSCIENCES, V2, P1, DOI 10.5194/bg-2-1-2005
   Eef B., 2018, Identification of the Seaweed Biostimulant Market (Phase 1)
   Eggertsen M, 2021, AMBIO, V50, P60, DOI 10.1007/s13280-020-01319-7
   Ehsan Sofia, 2019, IOP Conference Series: Earth and Environmental Science, V228, DOI 10.1088/1755-1315/228/1/012023
   EL Boukhari ME, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9030359
   El Shoubaky GA, 2013, OCEANOLOGIA, V55, P663, DOI 10.5697/oc.55-3.663
   Elshobary ME, 2021, INT J ENERG RES, V45, P6457, DOI 10.1002/er.6181
   Emadian SM, 2017, WASTE MANAGE, V59, P526, DOI 10.1016/j.wasman.2016.10.006
   EPA (United States Environmental Protection Agency), 430R19010 EPA
   Eranza D., 2015, MEDITERR J SOC SCI, V6, P43, DOI [10.5901/mjss.2015.v6n5-5p43, DOI 10.5901/MJSS.2015.V6N5S5P43, 10.5901/mjss.2015.v6n5-5p43.S5, DOI 10.5901/MJSS.2015.V6N5-5P43.S5]
   FAO, The State of World Fisheries and Aquaculture 2008
   Fitton N, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101944
   Fleurence J., 2004, Proteins in food processing, P197, DOI 10.1533/9781855738379.1.197
   Fleurence J, 1999, TRENDS FOOD SCI TECH, V10, P25, DOI 10.1016/S0924-2244(99)00015-1
   Folino A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12156030
   Fourqurean JW, 2012, NAT GEOSCI, V5, P505, DOI 10.1038/ngeo1477
   Froehlich HE, 2019, CURR BIOL, V29, P3087, DOI 10.1016/j.cub.2019.07.041
   Gade R., 2013, International Journal of Pharmacy and Pharmaceutical Sciences, V5, P975
   Gallagher JA, 2021, J APPL PHYCOL, V33, P533, DOI 10.1007/s10811-020-02295-x
   García-Poza S, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186528
   Gentry RR, 2020, REV AQUACULT, V12, P499, DOI 10.1111/raq.12328
   Giangrande A, 2021, WATER-SUI, V13, DOI 10.3390/w13070991
   Guillard V, 2018, FRONT NUTR, V5, DOI 10.3389/fnut.2018.00121
   Hahladakis JN, 2018, J HAZARD MATER, V344, P179, DOI 10.1016/j.jhazmat.2017.10.014
   Hasselström L, 2018, MAR POLLUT BULL, V133, P53, DOI 10.1016/j.marpolbul.2018.05.005
   Heimann T, 2019, EARTHS FUTURE, V7, P43, DOI 10.1029/2018EF001014
   Hill R, 2015, LIMNOL OCEANOGR, V60, P1689, DOI 10.1002/lno.10128
   Hipkiss AR, 1998, INT J BIOCHEM CELL B, V30, P863, DOI 10.1016/S1357-2725(98)00060-0
   Holdt SL, 2011, J APPL PHYCOL, V23, P543, DOI 10.1007/s10811-010-9632-5
   Hossain MS, 2021, MAR POLICY, V128, DOI 10.1016/j.marpol.2021.104469
   Hurtado AQ, 2019, PHYCOLOGIA, V58, P472, DOI 10.1080/00318884.2019.1625632
   Hussin R, 2015, ASIAN SOCIAL SCI, V11, P1, DOI [10.5539/ass.v11n18p1, DOI 10.5539/ASS.V11N18P1]
   Ingle K, 2018, BIOENERG RES, V11, P22, DOI 10.1007/s12155-017-9874-z
   Jiang R, 2016, ALGAL RES, V14, P48, DOI 10.1016/j.algal.2016.01.001
   Joyce S, 2000, ENVIRON HEALTH PERSP, V108, pA120, DOI 10.2307/3454426
   Joye IJ, 2014, CURR OPIN COLLOID IN, V19, P417, DOI 10.1016/j.cocis.2014.07.002
   Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
   Kennedy H, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2010GB003848
   Kerrison PD, 2015, BIOMASS BIOENERG, V80, P229, DOI 10.1016/j.biombioe.2015.04.035
   Kim S. K., 2011, HDB MARINE MACROALGA
   Kinley RD, 2016, ANIM PROD SCI, V56, P282, DOI 10.1071/AN15576
   Konda NVSNM, 2015, BIOENERG RES, V8, P1046, DOI 10.1007/s12155-015-9594-1
   Krause-Jensen D, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0236
   Krause-Jensen D, 2016, NAT GEOSCI, V9, P737, DOI [10.1038/NGEO2790, 10.1038/ngeo2790]
   Kronen Mechthild, 2013, FAO Fisheries and Aquaculture Technical Paper, V580, P147
   Kumar CS, 2008, J FOOD SCI TECH MYS, V45, P1
   Lau WWY, 2013, OCEAN COAST MANAGE, V83, P5, DOI 10.1016/j.ocecoaman.2012.03.011
   Lemon PWR, 1997, J NUTR BIOCHEM, V8, P52, DOI 10.1016/S0955-2863(97)00007-7
   Li XX, 2018, ANIM PROD SCI, V58, P681, DOI [10.1071/AN15883, 10.1071/an15883]
   Linser S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072898
   Lovelock CE, 2020, ONE EARTH, V3, P195, DOI 10.1016/j.oneear.2020.07.010
   Machado L, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085289
   Macreadie PI, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11693-w
   Macreadie PI, 2017, LIMNOL OCEANOGR LETT, V2, P195, DOI 10.1002/lol2.10052
   Macreadie PI, 2017, FRONT ECOL ENVIRON, V15, P206, DOI 10.1002/fee.1484
   Madera-Santana TJ, 2015, J APPL POLYM SCI, V132, DOI 10.1002/app.42320
   Makkar HPS, 2016, ANIM FEED SCI TECH, V212, P1, DOI 10.1016/j.anifeedsci.2015.09.018
   Mazarrasa I, 2014, BIOTECHNOL ADV, V32, P1028, DOI 10.1016/j.biotechadv.2014.05.002
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Menetrez MY, 2012, ENVIRON SCI TECHNOL, V46, P7073, DOI 10.1021/es300917r
   Milledge JJ, 2014, ENERGIES, V7, P7194, DOI 10.3390/en7117194
   Moraes LE, 2014, GLOBAL CHANGE BIOL, V20, P2140, DOI 10.1111/gcb.12471
   Morais T, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8080559
   Moreira D, 2016, BIORESOURCE TECHNOL, V215, P371, DOI 10.1016/j.biortech.2016.03.060
   MORGAN KC, 1980, ECON BOT, V34, P27, DOI 10.1007/BF02859553
   Mouritsen OG, 2021, J APPL PHYCOL, V33, P443, DOI 10.1007/s10811-020-02256-4
   Mouttaki I, 2021, ENVIRONMENTS, V8, DOI 10.3390/environments8060056
   Msuya FE, 2017, EUR J PHYCOL, V52, P482, DOI 10.1080/09670262.2017.1357084
   N'Yeurt AD, 2012, PROCESS SAF ENVIRON, V90, P467, DOI 10.1016/j.psep.2012.10.008
   Nabti E, 2017, INT J ENVIRON SCI TE, V14, P1119, DOI 10.1007/s13762-016-1202-1
   Nakhate P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116174
   NISIZAWA K, 1987, HYDROBIOLOGIA, V151, P5, DOI 10.1007/BF00046102
   Nor AM, 2017, J APPL PHYCOL, V29, P2323, DOI 10.1007/s10811-016-1025-y
   Offei F, 2018, FERMENTATION-BASEL, V4, DOI 10.3390/fermentation4040099
   Osman MEH, 2020, ENVIRON SCI POLLUT R, V27, P32481, DOI 10.1007/s11356-020-09534-1
   Paul NA, 2006, J PHYCOL, V42, P637, DOI 10.1111/j.1529-8817.2006.00226.x
   Pereira L., 2018, International Biology Review, V2, P1, DOI [10.18103/ibr.v2i2.1762, DOI 10.18103/IBR.V2I2.1762]
   Popp J, 2014, RENEW SUST ENERG REV, V32, P559, DOI 10.1016/j.rser.2014.01.056
   Prieto MA, 2007, J BACTERIOL, V189, P289, DOI 10.1128/JB.01576-06
   Racine P, 2021, MAR POLICY, V129, DOI 10.1016/j.marpol.2021.104506
   Rajauria G, 2015, Seaweed sustainability, P389, DOI [10.1016/B978-0-12-418697-2.00015-5, DOI 10.1016/B978-0-12-418697-2.00015-5]
   Rajendran N., 2012, Journal of Pharmacy Research, V5, P1476
   Reboleira J, 2021, TRENDS FOOD SCI TECH, V116, P1056, DOI 10.1016/j.tifs.2021.08.018
   Renaut S, 2019, MICROB BIOTECHNOL, V12, P1346, DOI 10.1111/1751-7915.13473
   Rengasamy KRR, 2020, FOOD CHEM TOXICOL, V135, DOI 10.1016/j.fct.2019.111013
   Roque BM, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0247820
   Sade A, 2006, JATI-J SOUTHEAST ASI, V11, P97
   Shit S.C., 2014, J. Polym., V2014, P1, DOI [DOI 10.1155/2014/427259, 10.1155/2014/427259]
   Singh I, 2018, J CLEAN PROD, V204, P992, DOI 10.1016/j.jclepro.2018.09.070
   SMITH SV, 1981, SCIENCE, V211, P838, DOI 10.1126/science.211.4484.838
   Sondak CFA, 2017, J APPL PHYCOL, V29, P2363, DOI 10.1007/s10811-016-1022-1
   Song JH, 2009, PHILOS T R SOC B, V364, P2127, DOI 10.1098/rstb.2008.0289
   Tanentzap AJ, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002242
   Tang QS, 2011, MAR ECOL PROG SER, V424, P97, DOI 10.3354/meps08979
   Tavassoli-Kafrani E, 2016, CARBOHYD POLYM, V137, P360, DOI 10.1016/j.carbpol.2015.10.074
   The DP, 2009, J FOOD ENG, V90, P548, DOI 10.1016/j.jfoodeng.2008.07.023
   Thormar J, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146479
   Tiwari B.K., 2015, SEAWEED SUSTAINABILI, P1, DOI DOI 10.1016/B978-0-12-418697-2.00001-5
   Trevathan-Tackett SM, 2015, ECOLOGY, V96, P3043, DOI 10.1890/15-0149.1
   Troy D.J, 2015, SEAWEED SUSTAINABILI, P421, DOI 10.1016/B978-0-12-418697-2.00016-7
   Tye YY, 2016, RENEW SUST ENERG REV, V60, P155, DOI 10.1016/j.rser.2016.01.072
   United Nations, 2015, No.A/RES/70/1.
   Valderrama D, 2015, AQUACULT ECON MANAG, V19, P251, DOI 10.1080/13657305.2015.1024348
   van den Burg SWK, 2016, AQUACULT ECON MANAG, V20, P235, DOI 10.1080/13657305.2016.1177859
   Vijn S, 2020, FRONT VET SCI, V7, DOI 10.3389/fvets.2020.597430
   Vredegoor MTJ, 2013, SOUTH EAST ASIAN J M, V7, P61
   Wahab MA, 2021, ENERG CONVERS MANAGE, V245, DOI 10.1016/j.enconman.2021.114632
   Wang MP, 2018, APPL SOIL ECOL, V125, P288, DOI 10.1016/j.apsoil.2018.02.013
   Waycott M, 2009, P NATL ACAD SCI USA, V106, P12377, DOI 10.1073/pnas.0905620106
   Wells ML, 2017, J APPL PHYCOL, V29, P949, DOI 10.1007/s10811-016-0974-5
   Williams TI, 2021, APPL SOIL ECOL, V168, DOI 10.1016/j.apsoil.2021.104170
   Wylie L, 2016, MAR POLICY, V65, P76, DOI 10.1016/j.marpol.2015.12.020
   Zamroni A, 2011, WORLD ACAD SCI ENG T, V5, P856, DOI [10.5281/zenodo.1330433, DOI 10.5281/ZENODO.1330433]
NR 147
TC 68
Z9 73
U1 14
U2 136
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 MAY
PY 2022
VL 159
AR 112222
DI 10.1016/j.rser.2022.112222
EA FEB 2022
PG 13
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Energy & Fuels
GA 0T0PG
UT WOS:000786674400004
DA 2025-01-10
ER

PT C
AU García-Oliva, M
   Sánchez-González, JF
   De la Peña, JM
AF Garcia-Oliva, Miriam
   Francisco Sanchez-Gonzalez, Jose
   Manuel De la Pena, Jose
BE Ortega-Sanchez, M
TI Methodological approach to Climate Change Impact Assessment for
   Adaptation under Coastal Morphology variety
SO PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS
LA English
DT Proceedings Paper
CT 39th IAHR World Congress on From Snow to Sea
CY JUN 19-24, 2022
CL Ctr Studies & Experimentat Publ Works, Spain Water, Granada, SPAIN
SP Univ Granada, Minist Ecol Transit & Demog Challenge, Gen Directorate Coast & Sea, Minist Ecol Transit & Demog Challenge, Gen Directorate Water, China Inst Water Resources & Hydropower Res, Int Assoc Hydro Environm Engn & Res
HO Ctr Studies & Experimentat Publ Works, Spain Water
DE Climate change (adaptation); Coastal management; Shoreline retreat;
   Mediterranean; Transitional waters
AB The big variety of coastal typologies along the Spanish coastline implies very different effects of Climate Change depending on the specific geographical area. The objective of this study is the presentation of a Methodology for the assessment of the effects of climate change on the coastline which offers versatility and flexibility to the existing problems in differentiated locations. For this purpose, two areas of study have been analysed, corresponding to singular zones of great importance in the Spanish Mediterranean coastlines, the Mar Menor coastal lagoon and the Ebro River Delta, which present environmental and tourist values, among others, threatened by intense pressures apart from those derived from climate change. The novelty of this approach lies on the treatment at a nor regional neither national but local scale, enclosing a whole coastal unit, where results allow identification of hotspots and prioritisation of the adaptation measures. It is concluded that this methodology can be applied as a support in the decision-making process by the agents in charge of the management of climate change adaptation measures in coastal areas. On the other hand, it is highlighted the importance of undertaking complementary studies to the existing ones with the aim of delimiting the effects adequately. The underestimation of the effects during the planning and design stages of the adaptation measures could lead to important consequences for the involved aspects, as, in some cases, measures like modification of the land-maritime public domain are used, affecting the spatial planning and the diverse uses and existing activities.
C1 [Garcia-Oliva, Miriam; Francisco Sanchez-Gonzalez, Jose; Manuel De la Pena, Jose] Ctr Studies & Experimentat Publ Works, Ctr Harbours & Coastal Studies, Valencia, Spain.
RP García-Oliva, M (corresponding author), Ctr Studies & Experimentat Publ Works, Ctr Harbours & Coastal Studies, Valencia, Spain.
EM miriam.garcia@cedex.es
FU General Directorate for Coast and Sea from the Spanish Ministry of
   Ecological Transition and Demographic Challenge
FX This study has been supported by the General Directorate for Coast and
   Sea from the Spanish Ministry of Ecological Transition and Demographic
   Challenge with the aim of the development of the Planning for the
   protection of the Mar Menor and Ebro Delta coastlines.
CR [Anonymous], 2018, MANUAL WAVE OVERTOPP, VSecond
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Coelho C, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8010037
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Davidson-Arnott RGD, 2005, J COASTAL RES, V21, P1166, DOI 10.2112/03-0051.1
   De Pascalis F, 2012, ESTUAR COAST SHELF S, V114, P118, DOI 10.1016/j.ecss.2011.12.002
   Dean R., 1991, OCEAN PHYS ENG, V9
   Dean R.G., 1987, SHORE BEACH, V25, P76
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fowler J., 1993, CERC938 US ARM CORPS
   Garcia-Ayllon S., 2014, International Journal of Design and Nature and Ecodynamics, V9, P109, DOI 10.2495/DNE-V9-N2-109-128
   Gargiulo C, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104413
   Hafezi M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114100
   KRIEBEL DL, 1993, J WATERW PORT C-ASCE, V119, P204, DOI 10.1061/(ASCE)0733-950X(1993)119:2(204)
   Lobeto H, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86524-4
   Sánchez-Arcilla A, 2016, SCI TOTAL ENVIRON, V572, P1336, DOI 10.1016/j.scitotenv.2016.01.124
   Sutherland J., 2004, FD1927TR DEFRA
NR 17
TC 0
Z9 0
U1 0
U2 0
PU IAHR-INT ASSOC HYDRO-ENVIRONMENT ENGINEERING RESEARCH
PI MADRID
PA PASEO BAJO VIRGEN DEL PUERTO 3, MADRID, 28005, SPAIN
BN 978-90-832612-1-8
PY 2022
BP 5864
EP 5873
DI 10.3850/IAHR-39WC2521716X2022272
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering; Water Resources
GA BV7PR
UT WOS:001070410606033
DA 2025-01-10
ER

PT J
AU Tajuddin, N
   Dabrowski, M
AF Tajuddin, Nilofer
   Dabrowski, Marcin
TI Enabling Socio-Ecological Resilience in the Global South: Insights from
   Chennai, India
SO SUSTAINABILITY
LA English
DT Article
DE resilience; climate change adaptation; spatial planning; flooding;
   India; Chennai
ID CLIMATE-RELATED DISASTERS; BUILDING RESILIENCE; URBAN RESILIENCE;
   ADAPTATION; CITIES; CITY; TRANSITIONS; MANAGEMENT; GOVERNANCE; IMPACTS
AB Addressing climate change adaptation in the cities of the Global South is crucial as they are the most at risk and, arguably, the least capable of coping with it due to their rapid expansion, informal development, and limited institutional capacity. This paper explores this challenge in the case of Chennai, India, a city which, in recent years, has faced several climate related disasters, including floods. Building on an innovative combination of research methods (policy documents analysis, stakeholder interviews, and a community workshop), the study analyses the barriers and explores potentials for operationalising socio-ecological resilience in Chennai in the face of an ongoing conflict between rapid urbanisation and the natural water system, compromising the region's hydrological capacity and resilience to flooding. In particular, drawing on the notion of evolutionary resilience and multi-level approach, the paper investigates (1) the scope for developing an integrated vision for resilience of the Chennai region (macro level); (2) the presence and the capacity of institutions to connect the different stakeholders and mediate their interests (meso level); and (3) the barriers and potentials developing local adaptation strategies in a bottom-up manner (micro level). The study sheds light on the under-researched issue of socio-ecological resilience in Chennai, while identifying potentials for implementing it through a combination of top down and bottom-up approaches, which in turn provides useful lessons for planning for resilience in other cities in the Global South.
C1 [Dabrowski, Marcin] Delft Univ Technol, Fac Architecture & Built Environm, Dept Urbanism, NL-2628 BL Delft, Netherlands.
C3 Delft University of Technology
RP Dabrowski, M (corresponding author), Delft Univ Technol, Fac Architecture & Built Environm, Dept Urbanism, NL-2628 BL Delft, Netherlands.
EM nilofer.afza@gmail.com; m.m.dabrowski@tudelft.nl
OI Tajuddin, Nilofer/0000-0002-0569-5417
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Aithal BH, 2016, J INDIAN SOC REMOTE, V44, P617, DOI 10.1007/s12524-015-0482-0
   Aldunce P, 2016, ENVIRON HAZARDS-UK, V15, P58, DOI 10.1080/17477891.2015.1134427
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2016, WIT T BUILT ENV
   [Anonymous], 2017, DEL DISPL IMP POSTFL
   Arabindoo P. G., 2008, ABSENT SOC CONTOURIN
   Arabindoo Pushpa, 2016, City, V20, P800, DOI [DOI 10.1080/13604813.2016.1239410, 10.1080/13604813.2016.1239410]
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Bhattacharya S., 2003, HINDU 0609
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Care Earth City Connect, 2010, ADAPTIVE MANAGEMENT
   Chaitanya S.K., 2018, NEW INDIAN EXPR 0204
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Correspondant S., 2016, HINDU 0324
   Dabrowski M, 2018, ENVIRON PLAN C-POLIT, V36, P837, DOI 10.1177/2399654417725077
   Davoudi S., 2021, GOVERNANCE CLIMATE R, P9
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   de Haan FJ, 2014, TECHNOL FORECAST SOC, V85, P121, DOI 10.1016/j.techfore.2013.09.005
   Ellis R, 2012, ANTIPODE, V44, P1143, DOI 10.1111/j.1467-8330.2011.00958.x
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hartmann T, 2017, J FLOOD RISK MANAG, V10, P145, DOI 10.1111/jfr3.12077
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   Iturriza M, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102688
   Jax K, 2018, CURR OPIN ENV SUST, V35, P22, DOI 10.1016/j.cosust.2018.10.009
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P1, DOI 10.1017/9781108284646
   Kumar K.P., 2011, TIMES INDIA 0106
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Manohar L., 2016, INT PLANN HIST SOC P, VVolume 3 3, P251, DOI [10.7480/iphs.2016.3.1266, DOI 10.7480/IPHS.2016.3.1266]
   McDonough K, 2017, ECOSYST SERV, V25, P82, DOI 10.1016/j.ecoser.2017.03.022
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Meyer H., 2014, URBANIZED DELTAS TRA
   Murugan P., 2017, WIRE 0119
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Parkinson J., 2005, Urban Stormwater Management in Developing Countries
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Prasad R., 2019, CHENNAI CITIZEN 0930
   Ramakrishnan S., 2019, INDIAN EXPRESS 0531
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Robinson GM, 2016, GEOGR J, V182, P114, DOI 10.1111/geoj.12144
   Russo M., 2017, REPAIR RESOURCE MANA, DOI [10.4233/uuid:321f152a0fe7-4125-bb98-c8c253e5b39f, DOI 10.4233/UUID:321F152A0FE7-4125-BB98-C8C253E5B39F]
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Suriya S, 2012, J HYDROL, V412, P210, DOI 10.1016/j.jhydrol.2011.05.008
   Swaminathan A., 2018, HINDU 0713
   Tanner Thomas., 2009, IDS Work. Pap
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   TNN, 2018, TIMES INDIA
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Vencatesan J, 2006, CURR SCI INDIA, V91, P1454
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Wilson Geoff., 2012, COMMUNITY RESILIENCE
   World Bank, CITIES CLIMATE CHANG
   ZEVENBERGEN Chris., 2010, Urban flood management, DOI [10.1201/9781439894330, DOI 10.1201/9781439894330]
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 63
TC 5
Z9 5
U1 4
U2 31
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 19
AR 10522
DI 10.3390/su131910522
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 WH1YN
UT WOS:000707482500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kim, HJ
   Cho, K
   Kim, Y
   Park, H
   Lee, JW
   Kim, SJ
   Chae, Y
AF Kim, Heey Jin
   Cho, Kyeungwoo
   Kim, Yeonjoo
   Park, Hyesun
   Lee, Ji Wan
   Kim, Seong Joon
   Chae, Yeora
TI Spatial Assessment of Water-Use Vulnerability under Future Climate and
   Socioeconomic Scenarios within a River Basin
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
DE Water-use vulnerability; Climate change; Socioeconomic scenarios
ID HAN RIVER; RESOURCES; QUALITY; 21ST-CENTURY; PATHWAYS; SCARCITY; IMPACT
AB This case study developed a framework to assess the spatial distribution of water-use vulnerability within a river basin under various scenarios of climate change, climate change adaptation and mitigation strategies. Our indicator-based approach used a multicriteria decision-making technique and drew from the vulnerability concept of the Intergovernmental Panel on Climate Change (IPCC), which includes components of adaptive capacity, exposure, and sensitivity. To conduct a vulnerability assessment in the Han River basin, South Korea, datasets for the selected indicators from the IPCC vulnerability concept were used in conjunction with simulation results obtained from a hydrologic model. The datasets includes the existing national statistical database, climate change scenarios from representative concentration pathways (RCPs), scenarios for climate change adaptation, and mitigation strategies from shared socioeconomic pathways (SSPs). With six plausible combinations of the RCPs and SSPs, hydrological simulations using the soil and water assessment tool (SWAT) were carried out. The results for the Han River basin indicate that, of the three components of vulnerability, the greatest differences between scenarios were associated with the exposure component, which is influenced by physical climate and environmental changes. Furthermore, it was shown that vulnerability can vary with different SSPs as much as it can with different RCPs. The vulnerability results obtained with the plausible SSP scenarios markedly differed from those with the historical socioeconomic data (i.e., no SSP). This shows the importance of considering socioeconomic scenarios in studies of vulnerability and sustainability in the future.
C1 [Kim, Heey Jin; Cho, Kyeungwoo; Kim, Yeonjoo; Park, Hyesun] Yonsei Univ, Dept Civil & Environm Engn, Seoul 03722, South Korea.
   [Lee, Ji Wan; Kim, Seong Joon] Konkuk Univ, Dept Civil & Environm Engn, Seoul 05029, South Korea.
   [Chae, Yeora] Korea Environm Inst, Sejong 30147, South Korea.
C3 Yonsei University; Konkuk University; Korea Environment Institute (KEI)
RP Kim, Y (corresponding author), Yonsei Univ, Dept Civil & Environm Engn, Seoul 03722, South Korea.
EM yeonjoo.kim@yonsei.ac.kr
RI Kim, SeungCheon/C-6478-2017; Lee, Ji/ABC-9571-2020; Kim,
   Jinsoo/AAS-8773-2020; Kim, Yeonjoo/A-1462-2012; Cho,
   Kyeungwoo/JUU-5634-2023
OI Kim, SeongJoon/0000-0002-9729-9373; Park, Hyesun/0000-0001-6653-1873;
   Lee, Ji Wan/0000-0001-6307-075X; Kim, Yeonjoo/0000-0003-1622-2209; Cho,
   Kyeungwoo/0000-0002-9523-7865
FU Korea Environmental Industry & Technology Institute (KEITI) through the
   Advanced Water Management Research Program - Ministry of Environment
   [83089]; Climate Change R&D Program - Ministry of Environment
   [2018001310001]; Basic Science Research Program of the National Research
   Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning
   [2018R1A1A3A04079419]
FX This work was supported by the Korea Environmental Industry & Technology
   Institute (KEITI) through the Advanced Water Management Research Program
   (83089) as well as the Climate Change R&D Program (2018001310001), both
   funded by the Ministry of Environment. This work was also supported by a
   grant from the Basic Science Research Program of the National Research
   Foundation of Korea (NRF) funded by the Ministry of Science, ICT &
   Future Planning (Grant 2018R1A1A3A04079419). Heey Jin Kim and Kyeungwoo
   Cho contributed equally to this paper.
CR Ahn SR, 2017, HYDROL EARTH SYST SC, V21, P5583, DOI 10.5194/hess-21-5583-2017
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Arnell NW, 2014, CLIMATIC CHANGE, V122, P127, DOI 10.1007/s10584-013-0948-4
   Baek HJ, 2013, ASIA-PAC J ATMOS SCI, V49, P603, DOI 10.1007/s13143-013-0053-7
   Berkhout F, 2002, GLOBAL ENVIRON CHANG, V12, P83, DOI 10.1016/S0959-3780(02)00006-7
   Chang H, 2008, WATER RES, V42, P3285, DOI 10.1016/j.watres.2008.04.006
   Chang HJ, 2005, WATER AIR SOIL POLL, V161, P267, DOI 10.1007/s11270-005-4286-7
   Chung ES, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010029
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Haddeland I, 2014, P NATL ACAD SCI USA, V111, P3251, DOI 10.1073/pnas.1222475110
   Hall J, 2014, HYDROL EARTH SYST SC, V18, P2735, DOI 10.5194/hess-18-2735-2014
   Hamouda MA, 2009, WATER RESOUR MANAG, V23, P2697, DOI 10.1007/s11269-009-9404-7
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2393, DOI 10.5194/hess-17-2393-2013
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2375, DOI 10.5194/hess-17-2375-2013
   Hoekstra AY, 2007, INTEGRATED ASSESSMENT OF WATER RESOURCES AND GLOBAL CHANGE, P35, DOI 10.1007/s11269-006-9039-x
   Hsu CC, 2007, PRACT ASSESS RES EVA, V12, P1
   IPCC, 2018, GLOB WARM 1 5C SUMM
   KEITI (Korea Environmental Industry and Technology Institute), 2016, DEV SOC SCEN LOW CAR
   Kim Y, 2018, SCI TOTAL ENVIRON, V637, P1413, DOI 10.1016/j.scitotenv.2018.04.420
   Kim Y, 2013, CLIMATIC CHANGE, V121, P301, DOI 10.1007/s10584-013-0879-0
   Kim Y, 2012, CLIMATIC CHANGE, V115, P853, DOI 10.1007/s10584-012-0612-4
   Koutroulis AG, 2018, SCI TOTAL ENVIRON, V613, P271, DOI 10.1016/j.scitotenv.2017.09.074
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Kuglitsch FG, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041841
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mouratiadou I, 2016, ENVIRON SCI POLICY, V64, P48, DOI 10.1016/j.envsci.2016.06.007
   NIER (National Institute of Environmental Research), 2013, NIER ANN REP HLTH EN
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Spinoni J, 2014, INT J CLIMATOL, V34, P2792, DOI 10.1002/joc.3875
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   UN-Water, 2013, WAT SEC GLOB WAT AG
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2016, GEOSCI MODEL DEV, V9, P175, DOI 10.5194/gmd-9-175-2016
   Wada Y, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034036
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Yao MT, 2017, ENVIRON PROCESS, V4, P15, DOI 10.1007/s40710-016-0203-x
NR 40
TC 6
Z9 7
U1 3
U2 40
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9496
EI 1943-5452
J9 J WATER RES PLAN MAN
JI J. Water Resour. Plan. Manage.-ASCE
PD JUL 1
PY 2020
VL 146
IS 7
AR 05020011
DI 10.1061/(ASCE)WR.1943-5452.0001235
PG 13
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA LS0EY
UT WOS:000536068400006
DA 2025-01-10
ER

PT C
AU English, E
   Klink, N
   Turner, S
AF English, Elizabeth
   Klink, Natasha
   Turner, Scott
BE Lang, M
   Klijn, F
   Samuels, P
TI Thriving with water: Developments in amphibious architecture in North
   America
SO 3RD EUROPEAN CONFERENCE ON FLOOD RISK MANAGEMENT (FLOODRISK 2016)
SE E3S Web of Conferences
LA English
DT Proceedings Paper
CT 3rd European Conference on Flood Risk Management (FLOODrisk)
CY OCT 17-21, 2016
CL Lyon, FRANCE
DE amphibious architecture; flood mitigation; disaster resilience; climate
   change adaptation; buoyant foundation; amphibious retrofit
AB There is increasing awareness worldwide that traditional flood-mitigation strategies that attempt to control the flow of water only increase the likelihood of catastrophic consequences in the long run, when failure inevitably occurs after years of complacency and development behind flood barriers. Amphibious architecture is a non-defensive flood mitigation and climate change adaptation strategy that works in synchrony with a floodprone region's natural cycles of flooding, allowing water to flow rather than creating an obstruction. Since the height to which an amphibious building rises is not necessarily fixed but adapts to the variable depth of flood water, amphibiation can accommodate rising sea levels and land subsidence as well. Amphibious retrofitting can provide measurable cost savings compared to other flood mitigation strategies, performing well in loss avoidance studies for both flood and wind damage. An amphibious approach to planning and construction recognizes the beneficial aspects of seasonal and occasional flooding, allowing us not merely to live with water, but to thrive with it. This paper reviews case studies of both existing and proposed amphibious buildings, with discussion of their systems and components. It also discusses the limitations of amphibious construction, some of the regulatory obstacles that have discouraged its development, and possible paths forward. The first International Conference on Amphibious Architecture, Design and Engineering, ICAADE 2015, was held in Bangkok, Thailand, in August 2015. The second, ICAADE 2017, will convene at the University of Waterloo in Canada in June 2017.
C1 [English, Elizabeth; Klink, Natasha; Turner, Scott] Univ Waterloo, Sch Architecture, 7 Melville St S, Cambridge, ON, Canada.
C3 University of Waterloo
RP English, E (corresponding author), Univ Waterloo, Sch Architecture, 7 Melville St S, Cambridge, ON, Canada.
EM english@ecenglish.ca
RI English, Elizabeth/W-6593-2019
FU International Development Research Centre; Social Sciences and
   Humanities Research Council of Canada
FX This research was supported in part by grants from the International
   Development Research Centre and the Social Sciences and Humanities
   Research Council of Canada.
CR [Anonymous], 2016, ICAADE 2015
   [Anonymous], 2016, NEW YORK TIMES
   Bourdeau Jr J., 2015, ASFPM ANN NAT C ATL
   Cochran L., 2012, WIND ISSUES DESIGN B
   English E., 2015, P 14 INT C WIND ENG
   English E.C., 2009, P INT C URB FLOOD MA, P1
   Fenuta Elizabeth, 2010, THESIS
   Guha-Sapir Debarati., 2015, EM-DAT: The CRED/OFDA International Disaster Database
   Hammond G.P., 2008, P I CIVIL ENG-ENERGY, V161, P87, DOI [DOI 10.1680/ENER.2008.161.2.87, 10.1680/ener.2008.161.2, DOI 10.1680/ENER.2008.161.2]
   HOLMES JD, 1994, J WIND ENG IND AEROD, V53, P105, DOI 10.1016/0167-6105(94)90021-3
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Liu A., 2006, SPECIAL EDITION KATR
   Manitoba Infrastructure and Transportation, 2013, 2011 FLOOD TECHN REV
   Prosun Prithula, 2011, THESIS
   Ropel-Morski Z, 2015, P INT C AMPH ARCH DE
   Sumanth S., 2015, P INT C AMPH ARCH DE
   Turner S, 2015, P INT C AMPH ARCH DE
   United Nations Commission on Sustainable Development, 2007, IND PROF PERC TOT PO
NR 18
TC 13
Z9 14
U1 0
U2 15
PU E D P SCIENCES
PI CEDEX A
PA 17 AVE DU HOGGAR PARC D ACTIVITES COUTABOEUF BP 112, F-91944 CEDEX A,
   FRANCE
SN 2267-1242
J9 E3S WEB CONF
PY 2016
VL 7
AR 13009
DI 10.1051/e3sconf/20160713009
PG 12
WC Engineering, Environmental; Engineering, Civil; Environmental Sciences;
   Geosciences, Multidisciplinary; Regional & Urban Planning; Water
   Resources
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Engineering; Environmental Sciences & Ecology; Geology; Public
   Administration; Water Resources
GA BG8GU
UT WOS:000392270100150
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Faisal, M
   Xia, CP
   Akhtar, S
   Raza, MH
   Khan, MTI
   Ajmal, MA
AF Faisal, Muhammad
   Xia Chunping
   Akhtar, Shoaib
   Raza, Muhammad Haseeb
   Khan, Muhammad Tariq Iqbal
   Ajmal, Muhammad Arslan
TI Modeling smallholder livestock herders' intentions to adopt climate
   smart practices: An extended theory of planned behavior
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Climate change; Smallholder; Attitude; Structural equation modeling
ID UNDERSTANDING FARMERS INTENTIONS; INTEGRATED PEST-MANAGEMENT;
   PSYCHOLOGICAL-FACTORS; NORM ACTIVATION; PUNJAB PROVINCE; MORAL
   EXTENSION; DAIRY FARMERS; IMPACTS; FOOD; PERCEPTIONS
AB Climate change is persistently causing adverse effects to the agriculture sector of developing countries, specifically in Asia. Pakistan is no exception to this effect and is ranked among the top 10 countries, which are most vulnerable to climate change. A huge upcoming challenge is to sustain an equilibrium among production and environmental protection. In this context, adaptation to climate change is considered as a win-win strategy for agriculture sectors in developing countries. However, numerous studies have focused on current farm-level adaptation while a scant interest has been shown on the role of physiological factors in the process of shaping small livestock herders' intentions towards environmental enrichment measures. A possible explanation of their lagging intentions is particular significance as they may comply with requisite climate adaptation measures or not. For deeper understanding, the current study investigates different psychological factors that affect the small livestock herder's intentions on adopting climate smart practices by using theory of planned behavior (TPB) with additional constructs (moral norms, risk perception, and social attributes). To this end, 405 small livestock herders from Punjab, Pakistan, were selected on the basis of multistage random sampling. The results of structural equation model showed that all constructs accounted for 57% of the variances in small livestock herders' adoption intentions. The outcome of this research offers a new indication regarding the interrelationship of numerous variables which are crucial to understand behavioral changes and psychological interventions. Overall attitude was the most prominent construct in the extended TPB model, which is mainly influenced by risk perception awareness. The results suggest that veterinary experts and extension agents should focus on psychological factors to explore different prospects to increase the involvement of livestock herders in environmental enrichment measures with little effort rather than tackling with traditional practices because it will be more likely to affect people's consideration of the external obstructions to act. Findings also offer public and private intervention for enabling technical and policy environment and strengthen social networks to keep livestock herders on track of updates of running government policies to ensure them to adopt climate change measures for their prosperous future.
C1 [Faisal, Muhammad; Xia Chunping; Raza, Muhammad Haseeb] Huazhong Agr Univ, Coll Econ & Management, Wuhan 430070, Hubei, Peoples R China.
   [Akhtar, Shoaib] Barani Agr Res Inst BARI, Ctr Excellence Olive Res & Training CEFORT, Chakwal, Punjab, Pakistan.
   [Khan, Muhammad Tariq Iqbal] Govt Postgrad Coll, Dept Econ, Faisalabad 38000, Pakistan.
   [Ajmal, Muhammad Arslan] Govt Coll Univ, Dept Econ, Faisalabad 38000, Pakistan.
C3 Huazhong Agricultural University; Government College University
   Faisalabad
RP Xia, CP (corresponding author), Huazhong Agr Univ, Coll Econ & Management, Wuhan 430070, Hubei, Peoples R China.
EM faisalgurmani@gmail.com; xcp@mail.hzau.edu.cn;
   shoaibakhtar1799@gmail.com; tariqiqbal88@yahoo.com;
   arslan.gogo7@gmail.com
RI Khan, Muhammad Tariq Iqbal/L-1473-2018; Akhtar, Shoaib/AAZ-8279-2021;
   Raza, Muhammad Haseeb/AEP-9693-2022
OI Akhtar, Shoaib/0000-0003-3696-9270; Raza, Muhammad
   Haseeb/0000-0002-3555-1377
FU National Planning Office of Philosophy and Social Science of China
   [17BJY136]
FX This study is part of a Ph.D. research at Huazhong Agricultural
   University. This research was supported by the National Planning Office
   of Philosophy and Social Science of China (grant number 17BJY136). We
   are very thankful to Mr. Saqib Imran (Inspector), Mr. Sarfraz Ahmad
   Bhatti (D.E.O.), Mr. Mobeen Arshad (Assistant Director, Agri.
   Department), and Local Agricultural Extension Department personnel of
   three districts for their efforts and organizing interviews. The
   author(s) are very thankful to Mr. Muhammad Imran Aslam for his
   cooperation during data entry. The author(s) highly regard the
   supportive efforts of Dr. Azhar Abbas in addressing reviewers' concerns
   and comments.
CR Abbas A, 2017, SUKKUR IBA J EC FINA, V1, P29, DOI [10.30537/sijef.v1i1.130, DOI 10.30537/SIJEF.V1I1.130]
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Alexandratos N, 2012, WORLD AGR 2030 50 20
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Arvola A, 2008, APPETITE, V50, P443, DOI 10.1016/j.appet.2007.09.010
   Bagheri A, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109291
   Rahut DB, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00797
   Rahut DB, 2017, INT J DISAST RISK RE, V24, P515, DOI 10.1016/j.ijdrr.2017.05.006
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P190, DOI 10.1016/j.jenvp.2007.04.001
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Bissonnette MM, 2001, J NUTR EDUC, V33, P72, DOI 10.1016/S1499-4046(06)60170-X
   Borges JAR, 2016, J ENVIRON PSYCHOL, V45, P89, DOI 10.1016/j.jenvp.2015.12.001
   Bozorgparvar E, 2018, J CLEAN PROD, V203, P769, DOI 10.1016/j.jclepro.2018.08.280
   Burton RJF, 2004, J RURAL STUD, V20, P359, DOI 10.1016/j.jrurstud.2003.12.001
   Chen MF, 2016, J CLEAN PROD, V112, P1746, DOI 10.1016/j.jclepro.2015.07.043
   Chih-Wei Chen, 2011, Human Behavior Unterstanding. Proceedings Second International Workshop, HBU 2011, P146, DOI 10.1007/978-3-642-25446-8_16
   da Silva JR, 2020, AQUACULT REP, V17, DOI 10.1016/j.aqrep.2020.100308
   Dang H, 2012, INT J CLIM CHANG IMP, V3
   Daxini A, 2019, LAND USE POLICY, V85, P428, DOI 10.1016/j.landusepol.2019.04.002
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Despotovic J, 2019, J CLEAN PROD, V228, P1196, DOI 10.1016/j.jclepro.2019.04.149
   Dill MD, 2015, J RURAL STUD, V42, P21, DOI 10.1016/j.jrurstud.2015.09.004
   Eckstein David MLH, 2018, GER EV
   Fao W. F. P., 2012, STAT FOOD INS WORLD
   Festinger L, 1954, HUM RELAT, V7, P117, DOI 10.1177/001872675400700202
   Fielding KS, 2008, J ENVIRON PSYCHOL, V28, P318, DOI 10.1016/j.jenvp.2008.03.003
   Martínez-García CG, 2013, LIVEST SCI, V152, P228, DOI 10.1016/j.livsci.2012.10.007
   Garnett T, 2009, ENVIRON SCI POLICY, V12, P491, DOI 10.1016/j.envsci.2009.01.006
   GOP, 2018, LIV CENS PUNJ 2018
   GOP, 2019, EC SURV GOV PAK
   Hair JF, 2012, J ACAD MARKET SCI, V40, P414, DOI 10.1007/s11747-011-0261-6
   Han H, 2019, TOURISM MANAGE, V70, P430, DOI 10.1016/j.tourman.2018.09.006
   Huijts NMA, 2012, RENEW SUST ENERG REV, V16, P525, DOI 10.1016/j.rser.2011.08.018
   Iqbal MA, 2018, EXTENT DETERMINANTS
   Iqbal MA, 2016, INT J DISAST RISK RE, V16, P68, DOI 10.1016/j.ijdrr.2016.01.009
   Jiang LL, 2018, J CLEAN PROD, V189, P797, DOI 10.1016/j.jclepro.2018.04.040
   Kaiser FG, 2003, PERS INDIV DIFFER, V35, P1033, DOI 10.1016/S0191-8869(02)00316-1
   Kaiser FG, 2006, PERS INDIV DIFFER, V41, P71, DOI 10.1016/j.paid.2005.11.028
   Kaiser FG, 2008, EUR PSYCHOL, V13, P288, DOI 10.1027/1016-9040.13.4.288
   Kauppinen T, 2012, LIVEST SCI, V143, P142, DOI 10.1016/j.livsci.2011.09.011
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Liu YW, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14121593
   Lopez-Mosquera N, 2016, J ENVIRON PSYCHOL, V45, P165, DOI 10.1016/j.jenvp.2016.01.006
   López-Mosquera N, 2014, J ENVIRON MANAGE, V135, P91, DOI 10.1016/j.jenvman.2014.01.019
   Manstead ASR, 2019, ATTITUDES BEHAV SOC, P11, DOI [10.4324/9781410603210-2, DOI 10.4324/9781410603210-2]
   Mendesil E, 2016, CROP PROT, V81, P30, DOI 10.1016/j.cropro.2015.12.001
   Onwezen MC, 2015, FOOD RES INT, V76, P261, DOI 10.1016/j.foodres.2015.03.032
   Park J, 2014, FAM CONSUM SCI RES J, V42, P278, DOI 10.1111/fcsr.12061
   PARKER D, 1995, BRIT J SOC PSYCHOL, V34, P127, DOI 10.1111/j.2044-8309.1995.tb01053.x
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Peden RSE, 2019, ANIMALS-BASEL, V9, DOI 10.3390/ani9010006
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Quintal VA, 2010, TOURISM MANAGE, V31, P797, DOI 10.1016/j.tourman.2009.08.006
   Raza M., 2019, J EC IMPACT, V1, P58, DOI [10.52223/jei0102193, DOI 10.52223/JEI0102193]
   Raza MH, 2019, J CLEAN PROD, V227, P613, DOI 10.1016/j.jclepro.2019.04.244
   Rezaei R, 2019, J ENVIRON MANAGE, V236, P328, DOI 10.1016/j.jenvman.2019.01.097
   Borges JAR, 2019, PREV VET MED, V170, DOI 10.1016/j.prevetmed.2019.104718
   Russell S, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008408
   Schwartz S.H., 1997, Advances in experimental social psychology, V10, P221, DOI [10.1016/s0065-2601(08)60358-5, DOI 10.1016/S0065-2601(08)60358-5]
   Senger I, 2017, LIVEST SCI, V203, P97, DOI 10.1016/j.livsci.2017.07.009
   Senger I, 2017, J RURAL STUD, V49, P32, DOI 10.1016/j.jrurstud.2016.10.006
   Simsekoglu Ö, 2008, TRANSPORT RES F-TRAF, V11, P181, DOI 10.1016/j.trf.2007.10.001
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Thornton PK, 2010, MITIG ADAPT STRAT GL, V15, P169, DOI 10.1007/s11027-009-9210-9
   Thornton PK, 2015, WORKING PAPER
   Tonglet M, 2004, RESOUR CONSERV RECY, V42, P27, DOI 10.1016/j.resconrec.2004.02.001
   USD Agriculture, 2018, LIV POULTR WORLD MAR
   van Duinen R, 2015, REG ENVIRON CHANGE, V15, P1081, DOI 10.1007/s10113-014-0692-y
   Venkatesh V, 2012, MIS QUART, V36, P157
   Wauters E, 2010, LAND USE POLICY, V27, P86, DOI 10.1016/j.landusepol.2009.02.009
   Wright IA, 2012, J SCI FOOD AGR, V92, P1010, DOI 10.1002/jsfa.4556
   Yazdanpanah M, 2016, WATER POLICY, V18, P73, DOI 10.2166/wp.2015.031
   Zeweld W, 2017, J ENVIRON MANAGE, V187, P71, DOI 10.1016/j.jenvman.2016.11.014
   Zhou XX, 2017, PHYS CHEM EARTH, V101, P214, DOI 10.1016/j.pce.2017.06.011
NR 79
TC 31
Z9 35
U1 3
U2 43
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0944-1344
EI 1614-7499
J9 ENVIRON SCI POLLUT R
JI Environ. Sci. Pollut. Res.
PD NOV
PY 2020
VL 27
IS 31
BP 39105
EP 39122
DI 10.1007/s11356-020-09652-w
EA JUL 2020
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA NV6OR
UT WOS:000546523700012
PM 32642898
DA 2025-01-10
ER

PT J
AU Ramiao, JP
   Pascoal, C
   Pinto, R
   Carvalho-Santos, C
AF Ramiao, Jose Pedro
   Pascoal, Claudia
   Pinto, Rute
   Carvalho-Santos, Claudia
TI Mitigating water pollution in a Portuguese river basin under climate
   change through agricultural sustainable practices
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Global warming; Best management practices; Filter strips; Diffuse
   pollution; SWAT
ID MULTISITE CALIBRATION; MANAGEMENT-PRACTICES; SOIL-EROSION; QUALITY;
   CATCHMENT; IMPACT; UNCERTAINTY; MODEL; PERFORMANCE; SIMULATION
AB Sustainable agricultural practices have been extensively used to reduce water pollution; however, the effectiveness of these practices may be significantly affected by climate change. In this study, we assess the effectiveness of sustainable agricultural practices in reducing sediment and nutrient export to rivers under future climate conditions, using the Soil & Water Assessment Tool in a Portuguese river basin exposed to high levels of agricultural pollution. In our study, filter strips demonstrated a significant mitigation effect on sediment and nutrient increases under simulated climate change conditions, with maximum sediment export depletion reaching 65% and the highest nutrient export depletion observed at 35%. The implementation of multiple sustainable practices resulted in the highest depletions, with a notable 71% depletion in sediment export and a 35% depletion in nutrient export. Additionally, our research underscores the crucial role of filter strips and multiple sustainable agricultural practices in mitigating the projected rise in nutrient concentrations during summer, given the effect of climate change on river discharge. Further studies exploring sustainable agricultural practices across different climates and watersheds can improve our understanding of their effectiveness for adaptation to climate change.
C1 [Ramiao, Jose Pedro; Pascoal, Claudia; Carvalho-Santos, Claudia] Univ Minho, CBMA Ctr Mol & Environm Biol, Dept Biol, ARNET Aquat Res Network, Campus Gualtar, P-4710057 Braga, Portugal.
   [Ramiao, Jose Pedro; Pascoal, Claudia; Carvalho-Santos, Claudia] Univ Minho, Inst Sci & Innovat Biosustainabil, IB S, Campus Gualtar, P-4710057 Braga, Portugal.
   [Pinto, Rute] Univ Waterloo, Dept Earth & Environm Sci, Ecohydrol Res Grp, Waterloo, ON, Canada.
C3 Universidade do Minho; Universidade do Minho; University of Waterloo
RP Ramiao, JP (corresponding author), Univ Minho, CBMA Ctr Mol & Environm Biol, Dept Biol, ARNET Aquat Res Network, Campus Gualtar, P-4710057 Braga, Portugal.; Ramiao, JP (corresponding author), Univ Minho, Inst Sci & Innovat Biosustainabil, IB S, Campus Gualtar, P-4710057 Braga, Portugal.
EM zepedroramiao@gmail.com
RI Pascoal, Claudia/C-4072-2009
OI Ramiao, Jose Pedro/0000-0001-9713-5179
FU FCT|FCCN (b-on)
FX Open access funding provided by FCT|FCCN (b-on).
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Abbaspour KC, 2004, VADOSE ZONE J, V3, P1340
   [Anonymous], 2018, Barroso Agro-Sylvo-Pastoral System
   [Anonymous], 2017, Water pollution from agriculture: a global review. Executive summary
   APA - Portuguese Environment Agency, 2016, Plano de Gestao da Regiao Hidrografica do Cavado, Ave e Leca (RH2)
   APA - Portuguese Environment Agency, 2012, First River Basin Management Plan of the Water Framework
   Arnold J.G., 2013, SWAT 2012 Input/Output Documentation
   Carvalho-Santos C, 2016, HYDROL PROCESS, V30, P720, DOI 10.1002/hyp.10621
   Chaubey I, 2010, J SOIL WATER CONSERV, V65, P424, DOI 10.2489/jswc.65.6.424
   Copernicus programme, 2015, Delineation of Riparian Zones
   Dechmi F, 2013, AGR WATER MANAGE, V123, P55, DOI 10.1016/j.agwat.2013.03.016
   DGT - National Territory Directorate, 2010, Land use and land cover map - 2010
   DRAEDM - Direcao Geral de Agricultura do Entre Douro e Minho (General Directorate of Agriculture of Entre Douro e Minho), 2007, Plano de ordenamento da bacia leiteira primaria do Entre Douro e Minho
   Duethmann D, 2020, HYDROL EARTH SYST SC, V24, P3493, DOI 10.5194/hess-24-3493-2020
   Earth Resources Observation and Science (EROS) Center, 2017, USGS
   EDP-Portuguese Power Company, 2019, DECL AMB 2019 APR HI
   EEA - European Environment Agency, 2021, Water and agriculture: towards sustainable solutions - European Environment Agency [WWW Document]
   Evans AEV, 2019, CURR OPIN ENV SUST, V36, P20, DOI 10.1016/j.cosust.2018.10.003
   Ficklin DL, 2010, ENVIRON POLLUT, V158, P223, DOI 10.1016/j.envpol.2009.07.016
   Fonseca AR, 2019, SCI TOTAL ENVIRON, V668, P1013, DOI 10.1016/j.scitotenv.2019.01.435
   Giri S, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124311
   GPP - Planning Policy and General Administration Office, 2021, Report on the strategic plan of the Common agricultural policy
   Gumiero B, 2011, J APPL ECOL, V48, P1135, DOI 10.1111/j.1365-2664.2011.02025.x
   ICNF - National Institute for Nature Conservation and Forests, 2015, 6Inventario Florestal Nacional (6th National Forest Inventory)
   Iturbide M, 2019, ENVIRON MODELL SOFTW, V111, P42, DOI 10.1016/j.envsoft.2018.09.009
   Karl TR, 1999, CLIMATIC CHANGE, V42, P3, DOI 10.1023/A:1005491526870
   Leitao M., 2013, Valor Ecologico do Solo de Portugal Continental
   Li Y., 2016, Field experiments on reducing pollutants in agricultural-drained water using soil-vegetation buffer strips, P25
   Lionello P, 2018, REG ENVIRON CHANGE, V18, P1481, DOI 10.1007/s10113-018-1290-1
   Maguire RO, 2011, J ENVIRON QUAL, V40, P292, DOI 10.2134/jeq2009.0228
   Majone B, 2022, HYDROL EARTH SYST SC, V26, P3863, DOI 10.5194/hess-26-3863-2022
   Malagó A, 2019, WATER-SUI, V11, DOI 10.3390/w11051030
   Mancuso G, 2021, WATER-SUI, V13, DOI 10.3390/w13141893
   Molina-Navarro E, 2017, ENVIRON MODELL SOFTW, V93, P255, DOI 10.1016/j.envsoft.2017.03.018
   Molina-Navarro E, 2014, J HYDROL, V509, P354, DOI 10.1016/j.jhydrol.2013.11.053
   Moriasi DN, 2015, T ASABE, V58, P1763
   Nkiaka E, 2018, STOCH ENV RES RISK A, V32, P1665, DOI 10.1007/s00477-017-1466-0
   Ockenden MC, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00232-0
   Panagos P, 2017, J HYDROL, V548, P251, DOI 10.1016/j.jhydrol.2017.03.006
   Panagos P, 2015, LAND USE POLICY, V48, P38, DOI 10.1016/j.landusepol.2015.05.021
   Panagos P, 2015, ENVIRON SCI POLICY, V51, P23, DOI 10.1016/j.envsci.2015.03.012
   Panagos P, 2014, SCI TOTAL ENVIRON, V479, P189, DOI 10.1016/j.scitotenv.2014.02.010
   [Planton S. IPCC IPCC], 2013, CLIM CHANG 2013 PHYS
   Pozza L.E., 2020, Soil Secur, V1, P100002, DOI DOI 10.1016/J.SOISEC.2020.100002
   Qiu JL, 2020, ECOL ENG, V143, DOI 10.1016/j.ecoleng.2019.105700
   Ramiao JP, 2022, WATER-SUI, V14, DOI 10.3390/w14233962
   Ramiao JP, 2023, WATER RESOUR MANAG, V37, P175, DOI 10.1007/s11269-022-03361-4
   Rocha J, 2015, SCI TOTAL ENVIRON, V536, P48, DOI 10.1016/j.scitotenv.2015.07.038
   Serpa D, 2017, ENVIRON POLLUT, V224, P454, DOI 10.1016/j.envpol.2017.02.026
   Shrestha MK, 2016, AGR WATER MANAGE, V175, P61, DOI 10.1016/j.agwat.2016.02.009
   SNIAmb - National Environmental Information System, 2018, Massas de agua superficiais Rios de Portugal continental (surface water bodies rivers of mainland Portugal)
   TERESO J P., 2011, Florestas do Norte de Portugal: Historia, Ecologia e Desafios de Gestao
   Tuppad P, 2010, WATER RESOUR MANAG, V24, P3115, DOI 10.1007/s11269-010-9598-8
   Wagena MB, 2018, SCI TOTAL ENVIRON, V637, P1443, DOI 10.1016/j.scitotenv.2018.05.116
   Wagena MB, 2018, SCI TOTAL ENVIRON, V635, P132, DOI 10.1016/j.scitotenv.2018.04.110
   Wang Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20818-y
   Winchell M., 2013, ARCSWAT INTERFACE SW
   Xu Y, 2019, M WATER QUALITY GOAL, P173, DOI [10.1007/s00267-018-01133-8, DOI 10.1007/S00267-018-01133-8]
   Zambrano-Bigiarini M, 2014, R package version 0.3-8
NR 60
TC 1
Z9 1
U1 4
U2 7
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 APR
PY 2024
VL 29
IS 4
AR 25
DI 10.1007/s11027-024-10121-9
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA LC6G7
UT WOS:001184613700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Barreira, AP
   Andraz, J
   Ferreira, V
   Panagopoulos, T
AF Barreira, Ana Paula
   Andraz, Jorge
   Ferreira, Vera
   Panagopoulos, Thomas
TI Perceptions and preferences of urban residents for green infrastructure
   to help cities adapt to climate change threats
SO CITIES
LA English
DT Article
DE Green infrastructure; Heatwaves mitigation; Inhabitants' attitudes;
   Sustainable city
ID PUBLIC-PARTICIPATION; ECOSYSTEM; SPACE; ATTITUDES; BENEFITS
AB Green infrastructure in cities is increasingly acknowledged as a way to contribute to tackling the challenges posed by climate change. However, studies analyzing urban inhabitants' attitudes towards green infrastructure when dealing with climate change effects are still scarce. Using as case studies two Portuguese cities of different sizes and socio-cultural and geographic contexts, this work analyzes inhabitants' awareness of climate change, the sensations they associate with green infrastructures, as well as the elements that they value, and uncovers their determinants using binary logistic models. These models allow to determine the association between the dependent variables and a set of variables such as the way inhabitants deal with heatwaves and perceive what GI is, among others. Inhabitants in the two cities show high awareness of climate change and similarities in the most relevant sensations associated with green infrastructure, as well as in the most valued elements in it. However, different determinants explain such results in each city. This finding highlights the need to consider the specificities of each city when green infrastructures are chosen, thus providing insights for other southern European countries facing the same extreme climatic events.
C1 [Barreira, Ana Paula; Andraz, Jorge] Univ Algarve, Fac Econ, Campus Gambelas, P-8000 Faro, Portugal.
   [Barreira, Ana Paula; Andraz, Jorge] Univ Algarve, Ctr Adv Studies Management & Econ CEFAGE UAlg, Campus Gambelas, P-8000 Faro, Portugal.
   [Ferreira, Vera; Panagopoulos, Thomas] Univ Algarve CinTurs, Res Ctr Tourism, Sustainabil & Well being, Campus Gambelas, P-8000 Faro, Portugal.
C3 Universidade do Algarve; Universidade do Algarve
RP Panagopoulos, T (corresponding author), Univ Algarve CinTurs, Res Ctr Tourism, Sustainabil & Well being, Campus Gambelas, P-8000 Faro, Portugal.
EM tpanago@ualg.pt
RI Ferreira, Vera/AAV-6616-2021; Panagopoulos, Thomas/A-3048-2012; Andraz,
   Jorge/B-5858-2009; Barreira, Ana Paula/N-7034-2015
OI Panagopoulos, Thomas/0000-0002-8073-2097; Andraz,
   Jorge/0000-0001-9209-3344; Barreira, Ana Paula/0000-0001-5816-3361
FU Fundacao para a Ciencia e Tecnologia [PTDC/GES-URB/31928/2017,
   UIDB/04020/2020, UIDB/04007/2020]
FX Fundacao para a Ciencia e Tecnologia, Grant PTDC/GES-URB/31928/2017 and
   Grant UIDB/04020/2020 and UIDB/04007/2020.
CR Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   Arnberger A, 2017, URBAN FOR URBAN GREE, V21, P102, DOI 10.1016/j.ufug.2016.11.012
   Bertram C, 2015, ECOSYST SERV, V12, P187, DOI 10.1016/j.ecoser.2014.12.011
   Buizer M, 2016, ENVIRON SCI POLICY, V62, P7, DOI 10.1016/j.envsci.2016.03.003
   Burton P, 2013, URBAN POLICY RES, V31, P399, DOI 10.1080/08111146.2013.778196
   Byrne JA, 2015, LANDSCAPE URBAN PLAN, V138, P132, DOI 10.1016/j.landurbplan.2015.02.013
   Choi C, 2021, J ENVIRON MANAGE, V291, DOI 10.1016/j.jenvman.2021.112583
   Climate Data, 2023, PORT CLIM DAT PLAC
   Conedera M, 2015, URBAN FOR URBAN GREE, V14, P139, DOI 10.1016/j.ufug.2015.01.003
   Conway TM, 2021, ENVIRON MANAGE, V68, P566, DOI 10.1007/s00267-021-01515-5
   Gil Cuesta J, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14020122
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Dipeolu AA, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103378
   Dipeolu AA, 2020, INT J BUILT ENV SUST, V7, P45, DOI 10.11113/ijbes.v7.n2.489
   Duan JY, 2018, ENVIRON MANAGE, V62, P500, DOI 10.1007/s00267-018-1068-8
   Dushkova D, 2020, LAND-BASEL, V9, DOI 10.3390/land9010019
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Ferreira V, 2021, J ENVIRON MANAGE, V298, DOI 10.1016/j.jenvman.2021.113502
   Ferreira V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020640
   Fischer LK, 2018, ECOSYST SERV, V31, P455, DOI 10.1016/j.ecoser.2018.01.015
   Foo K, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.734440
   Gashu K, 2019, BMC ECOL, V19, DOI 10.1186/s12898-019-0232-1
   Guerreiro SB, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaaad3
   Hami A., 2014, INT J ARCHITECTURAL, V24, P15
   INE [Instituto Nacional de Estatistica-Potuguese Statistics], 2019, EST POD COMPR CONC
   INE [Instituto Nacional de Estatistica-Potuguese Statistics], 2021, POP CENS PREL RES
   IPMA [Instituto Portugues do Mar e da Atmosfera-Portuguese Institute of the Sea and the Atmosphere, US
   Kabisch N., 2016, NATURE BASED SOLUTIO
   Kabisch N, 2020, ENVIRON SCI POLICY, V107, P56, DOI 10.1016/j.envsci.2020.02.008
   Lafortezza R, 2009, URBAN FOR URBAN GREE, V8, P97, DOI 10.1016/j.ufug.2009.02.003
   Li PY, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112963
   Lo AY, 2017, URBAN FOR URBAN GREE, V23, P74, DOI 10.1016/j.ufug.2017.03.007
   Lo AYH, 2012, LAND USE POLICY, V29, P577, DOI 10.1016/j.landusepol.2011.09.011
   Madureira H, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5020023
   Madureira H, 2015, URBAN FOR URBAN GREE, V14, P56, DOI 10.1016/j.ufug.2014.11.008
   Mora Carla., 2020, Landscapes and Landforms of Portugal, P33, DOI [10.1007/978-3-319-03641-0_2, DOI 10.1007/978-3-319-03641-0_2]
   Pordata, 2019, MUN DAT
   Portela MM, 2020, CLIMATE, V8, DOI 10.3390/cli8120146
   Ramyar R, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103316
   Sanesi Giovanni, 2006, Urban Forestry & Urban Greening, V5, P121, DOI [10.1016/j.ufug.2006.06.001, 10.1016/j.ufug.2005.12.001]
   Sang AO, 2016, URBAN FOR URBAN GREE, V18, P268, DOI 10.1016/j.ufug.2016.06.008
   Silva CD, 2018, LAND-BASEL, V7, DOI 10.3390/land7040134
   SNIRH [Sistema Nacional de Informacao de Recursos Hidricos-National Water Resources Information System], ABOUT US
   Tyrväinen L, 2007, LANDSCAPE URBAN PLAN, V79, P5, DOI 10.1016/j.landurbplan.2006.03.003
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Uittenbroek CJ, 2019, J ENVIRON PLANN MAN, V62, P2529, DOI 10.1080/09640568.2019.1569503
   Van den Berg AE, 2006, LANDSCAPE URBAN PLAN, V78, P362, DOI 10.1016/j.landurbplan.2005.11.006
   Wamsler C, 2020, CLIMATIC CHANGE, V158, P235, DOI 10.1007/s10584-019-02557-9
   Wang RG, 2017, SUSTAIN CITIES SOC, V28, P350, DOI 10.1016/j.scs.2016.10.010
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
   Wlodarczyk-Marciniak R, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102236
   World Health Organization-WHO, 2009, URB PLANN HUM HLTH E
NR 53
TC 9
Z9 9
U1 2
U2 35
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2023
VL 141
AR 104478
DI 10.1016/j.cities.2023.104478
EA JUL 2023
PG 17
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA N8ML3
UT WOS:001039489700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Latkin, C
   Dayton, L
   Bonneau, H
   Countess, K
   Hendrickson, Z
   Vidal, C
AF Latkin, Carl
   Dayton, Lauren
   Bonneau, Haley
   Countess, Kennedy
   Hendrickson, Zoe
   Vidal, Carol
TI Correlates of Climate Change Action Communication Modalities in the
   United States
SO CLIMATE
LA English
DT Article
DE climate change; activism; collective action; barriers; communication
ID SOCIAL MEDIA; NETWORKS
AB Communicating about actions to address climate change is critical to mobilize collective actions, and enact policies for climate change mitigation (prevention) and adaptation to climate change. The current study assessed factors associated with climate change action (CCA) communications in the US. Respondents were recruited through Prolific, an online survey research platform. The sample was restricted to the 599 respondents who reported that the issue of climate change was extremely or very important to them. Key outcome variables included (1) talking to family/friends about CCA, (2) texting/emailing family/friends about CCA, and (3) posting or sharing a post on social media about CCA. Multinomial logistic regression models examined correlates of CCA communications. Descriptive and injunctive social norms, barriers to CCA, and climate change distress were consistently significantly associated with engaging in the three CCA communication modalities in the prior month compared to never. This study's results suggest that talking with peers is the most common form of CCA communication, and is associated with social norms and distinct barriers to CCA. Organizations that address climate change should consider utilizing dialogical approaches to shift social norms related to CCA, and foster CCA communications and address barriers to CCA.
C1 [Latkin, Carl; Dayton, Lauren; Bonneau, Haley; Countess, Kennedy; Hendrickson, Zoe] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Hlth Behav & Soc, Baltimore, MD 21205 USA.
   [Latkin, Carl; Vidal, Carol] Johns Hopkins Univ, Sch Med, Dept Psychiat, Baltimore, MD 21205 USA.
C3 Johns Hopkins University; Johns Hopkins Bloomberg School of Public
   Health; Johns Hopkins University
RP Latkin, C (corresponding author), Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Hlth Behav & Soc, Baltimore, MD 21205 USA.; Latkin, C (corresponding author), Johns Hopkins Univ, Sch Med, Dept Psychiat, Baltimore, MD 21205 USA.
EM carl.latkin@jhu.edu; hbonnea1@jhu.edu; kcounte1@jhmi.edu;
   zhendri1@jhu.edu; cvidal2@jhmi.edu
OI Vidal, Carol/0000-0001-5104-2284; Hendrickson, Zoe/0000-0003-2057-2463;
   Dayton, Lauren/0000-0002-1400-3670
CR Auxier B., 2020, Activism on social media varies by race and ethnicity, age, political party
   Baiardi D, 2023, J ECON SURV, V37, P1255, DOI 10.1111/joes.12535
   Basseches JA, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-022-03319-w
   Bayes R, 2023, ENVIRON COMMUN, V17, P16, DOI 10.1080/17524032.2020.1805343
   Becken S, 2022, J AIR TRANSP MANAG, V98, DOI 10.1016/j.jairtraman.2021.102157
   Bolsen T, 2019, SCI COMMUN, V41, P464, DOI 10.1177/1075547019863154
   Boulianne S, 2020, MEDIA COMMUN-LISBON, V8, P208, DOI 10.17645/mac.v8i2.2768
   Byerly H, 2018, FRONT ECOL ENVIRON, V16, P159, DOI 10.1002/fee.1777
   Carey James., 1989, COMMUNICATION CULTUR
   Deo K, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177038
   Doherty KL, 2016, NAT CLIM CHANGE, V6, P879, DOI 10.1038/NCLIMATE3025
   Duffy MA, 2021, AM NAT, V198, P433, DOI 10.1086/715153
   Effrosynidis D, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0274213
   Eyal P, 2022, BEHAV RES METHODS, V54, P1643, DOI 10.3758/s13428-021-01694-3
   Farrow K, 2017, ECOL ECON, V140, P1, DOI 10.1016/j.ecolecon.2017.04.017
   Fogg-Rogers L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063406
   Geiger N, 2016, J ENVIRON PSYCHOL, V47, P79, DOI 10.1016/j.jenvp.2016.05.002
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Han RX, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061883
   Hannibal B, 2018, SOCIOL SPECTRUM, V38, P277, DOI 10.1080/02732173.2018.1502108
   Haunschild R, 2019, J INFORMETR, V13, P695, DOI 10.1016/j.joi.2019.03.008
   Hornsey MJ, 2021, J EXP SOC PSYCHOL, V97, DOI 10.1016/j.jesp.2021.104217
   Kesenheimer JS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310064
   Klas A, 2019, ENVIRON COMMUN, V13, P879, DOI 10.1080/17524032.2018.1488755
   Kreindler GE, 2014, P NATL ACAD SCI USA, V111, P10881, DOI 10.1073/pnas.1400842111
   Lacroix K, 2019, J ENVIRON PSYCHOL, V63, P9, DOI 10.1016/j.jenvp.2019.03.001
   Latkin C, 2022, J CLIM CHANGE HEALTH, V8, DOI 10.1016/j.joclim.2022.100146
   Latkin C, 2023, J PREV, V44, P389, DOI 10.1007/s10935-022-00704-0
   Lee HR, 2021, J CLIM CHANGE HEALTH, V2, DOI 10.1016/j.joclim.2021.100016
   Leiserowitz AnthonyA., 2019, YALE PROGRAM CLIMATE
   León B, 2023, MEDIA INT AUST, V188, P112, DOI 10.1177/1329878X211038004
   Li H, 2015, J COMPUT SCI TECH-CH, V30, P184, DOI 10.1007/s11390-015-1512-7
   Liao YQ, 2016, SCI COMMUN, V38, P51, DOI 10.1177/1075547015616256
   Mavrodieva AV, 2019, CLIMATE, V7, DOI 10.3390/cli7100122
   Molder AL, 2022, INT J PRESS/POLIT, V27, P668, DOI 10.1177/19401612211055691
   More R., MOST GERMANS THINK R
   Noelle-Neumann E., 2004, HDB POLITICAL COMMUN, P357, DOI DOI 10.4324/9781410610584-23
   Palosaari E, 2023, J EXP SOC PSYCHOL, V104, DOI 10.1016/j.jesp.2022.104422
   Perry GLW, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.620125
   Romanello M, 2022, LANCET, V400, P1619, DOI 10.1016/S0140-6736(22)01540-9
   Saracevic S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095156
   Scheidel A, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102104
   Smeltz Dina., 2021, Republicans and Democrats in Different Worlds on Climate Change
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tyagi A, 2020, PR I-A I C AD S N A, P443, DOI 10.1109/ASONAM49781.2020.9381419
   Tyson A., On climate change, Republicans are open to some policy approaches, even as they assign the issue low priority
   Vesely S, 2021, GLOBAL ENVIRON CHANG, V70, DOI 10.1016/j.gloenvcha.2021.102322
   Williams HTP, 2015, GLOBAL ENVIRON CHANG, V32, P126, DOI 10.1016/j.gloenvcha.2015.03.006
   Wong-Parodi G, 2021, ENVIRON COMMUN, V15, P571, DOI 10.1080/17524032.2020.1871051
   Wood W, 2000, ANNU REV PSYCHOL, V51, P539, DOI 10.1146/annurev.psych.51.1.539
   Wynes S, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03215-9
NR 51
TC 1
Z9 1
U1 1
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD JUN
PY 2023
VL 11
IS 6
AR 125
DI 10.3390/cli11060125
PG 16
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA K1MW2
UT WOS:001014165900001
OA gold
DA 2025-01-10
ER

PT J
AU Gorman, T
AF Gorman, Timothy
TI The Art of Not Being Freshened: The Everyday Politics of Infrastructure
   in the Mekong Delta
SO SUSTAINABILITY
LA English
DT Article
DE infrastructure; resistance; livelihoods; politics; aquaculture; climate
   change
ID BIG INFRASTRUCTURE; WATER; RESISTANCE
AB With the growing threat of climate change, states are increasingly turning to large-scale infrastructure projects in order to control environmental conditions, especially in coastal areas. These projects are often planned and implemented in a centralized, top-down manner and sometimes fail to achieve their stated objectives in the face of "everyday resistance" from local residents and farmers. This study draws on interviews and secondary research to examine the contentious everyday politics of infrastructure in the Mekong Delta region of Vietnam, focusing specifically on how small-scale, surreptitious acts of "counter-infrastructuring" on the part of farmers, such as the construction of illicit wells and shrimp ponds, have undermined the top-down policy of "freshening" the coastal zone through the construction of large water-control works (namely, the Ba Lai dam). By elucidating the motives for farmer resistance, which are primarily economic rather than explicitly political, and the covert and largely uncoordinated means farmers employ to resist and subvert state infrastructure, this study contributes to our understanding of environmental politics in Vietnam and more broadly, with implications for the future viability of large-scale infrastructure projects, such as those aimed at adapting to climate change and sea-level rise in coastal regions.
C1 [Gorman, Timothy] Montclair State Univ, Dept Sociol, Montclair, NJ 07043 USA.
C3 Montclair State University
RP Gorman, T (corresponding author), Montclair State Univ, Dept Sociol, Montclair, NJ 07043 USA.
OI Gorman, Timothy/0000-0003-2684-9523
FU Social Sciences Research Council's International Dissertation Research
   Fellowship; Montclair State University
FX This research was funded by the Social Sciences Research Council's
   International Dissertation Research Fellowship and the APC was funded by
   Montclair State University.
CR [Anonymous], 2003, CHAO MUNG QUY KHACH
   [Anonymous], 2011, Quy Hoach Thuy Loi Tinh Ben Tre Den Nam 2020 (Provincial Irrigation Plan to 2020)
   Barnes Jessica., 2014, Cultivating the Nile: The Every day Politics of Water in Egypt
   Ben N.C., 2001, DIA CHI BEN TRE
   Ben Tre Province, EL PORT BEN TRE PROV
   Ben Tre Province People's Committee, 2006, BAO CAO TONG HAP KHO
   Benedikter Simon., 2014, The Vietnamese Hydrocracy and the Mekong Delta: Water Resources Development from State Socialism to Bureaucratic Capitalism
   Binh P., 2015, BAO DONG KHOI   0906
   Blake D.J.H., 2019, Austrian Journal of South-East Asian Studies, P69, DOI DOI 10.14764/10.ASEAS-0014
   Blok A, 2016, SCI CULT-UK, V25, P1, DOI 10.1080/09505431.2015.1081500
   Bn Tre Department of Science and Technology, DUAN NGOT HOA PHU LO
   Bn Tre Province People's Committee, 2015, REP BEN TRE CENTR PL
   Bn Tre Province Statistical Office, 2010, NIEN GIAM THONG KE T
   Bn Tre Province Statistical Office, 2007, NIEN GIAM THONG KE T
   Bn Tre Television, 2014, NONG GHIEP VA NONG T
   Bryant Raymond., 1997, 3 WORLD POLITICAL EC
   Carse Ashley., 2014, Beyond the Big Ditch. Politics, Ecology
   Colven E, 2017, WATER ALTERN, V10, P250
   Crow-Miller B, 2017, WATER ALTERN, V10, P195
   Crow-Miller B, 2017, WATER ALTERN, V10, P233
   Dajani M, 2018, EARTHSCAN STUD WATER, P131
   Duc A., 2013, BAO TIN TUC     1120
   Evers H. D., 2009, Water Alternatives, V2, P416
   General Statistics Office of Vietnam, SAN LUONG IUA CA NAM
   General Statistics Office of Vietnam, 2011, KET QUA LONG DIEU TR
   Gorman T, 2019, FOOD ANXIETY IN GLOBALISING VIETNAM, P235, DOI 10.1007/978-981-13-0743-0_8
   Government of Viet Nam, 2013, NGHI DINH SO 103 201
   Government of Viet Nam, 2017, NGHI QUYET SO 120 NQ
   Government of Vietnam, 2009, NGHI QUYET 63 NQ CP
   Guldi Jo., 2012, ROADS POWER BRITAIN
   Hoanh C. T., 2003, Water Policy, V5, P475
   Kaup BZ, 2008, GEOFORUM, V39, P1734, DOI 10.1016/j.geoforum.2008.04.007
   Kerkvliet B.J., 2005, POWER EVERYDAY POLIT, DOI 10.7591/9781501722011
   Kerkvliet BenedictJ., 1990, Everyday Politics in the Philippines: Class and Status Relations in a Central Luzon Village
   Kỳ N.T., 2005, SAI GON GIAI PHONG
   Long C., 2004, VIETNAMNET      0311
   Ma P., 2013, BAO DONG KHOI   0612
   Meehan K, 2013, ENVIRON PLANN D, V31, P319, DOI 10.1068/d20610
   Meehan KM, 2014, GEOFORUM, V57, P215, DOI 10.1016/j.geoforum.2013.08.005
   Molle F, 2008, AMBIO, V37, P199, DOI 10.1579/0044-7447(2008)37[199:MASAEC]2.0.CO;2
   Mukerji Chandra., 2010, Material Powers: Cultural Studies, History and the Material Turn
   Nhi N.M., 2017, THOI BAO KINH T 0210
   PAE International, 1970, MAST PLAN KIEN HOA W
   Phunng V., BEN TRE TONG SAN LUO
   Pritchard SaraB., 2011, CONFLUENCE NATURE TE
   Quang N.M., 2006, NHUNG THUY LOI DON 3
   Quec T., 2014, PHAP LUAT       0118
   Renaud FG, 2015, CLIMATIC CHANGE, V133, P69, DOI 10.1007/s10584-014-1113-4
   Republic of Vietnam, 1964, CHUANG TRINH BINH DI
   Scott J. C., 2009, The art of not being governed: An anarchist history of upland Southeast Asia
   Scott J. C., 1985, Weapons of the Weak: Everyday Forms of Peasant Resistance, DOI DOI 10.12987/9780300153620
   Scott James C., 1998, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Scott JamesC., 1977, MORAL EC PEASANT REB
   Siciliano G, 2016, WATER-SUI, V8, DOI 10.3390/w8090405
   Simone A, 2004, PUBLIC CULTURE, V16, P407, DOI 10.1215/08992363-16-3-407
   Son T.T., 2012, MOT SO GHI CHEP VE T
   Southern Institute for Water Resources Planning (SIWRP); Japan International Cooperation Assistance (JICA), 2013, PROJ CLIM CHANG AD S
   Thanh D., 2013, TIEN PHONG      0912
   Ngo TTT, 2023, J AGRIBUS DEV EMERG, V13, P418, DOI 10.1108/JADEE-06-2021-0155
   Tri H.M., 2014, LICH SU THUY LOI VIE
   Tung S., 2014, TANG CUONG LANH DAO
   Verhoeven Harry., 2015, Water, civilisation and power in Sudan: The political economy of military-Islamist state building, V131
   VNA, 2020, VIETNAMPLUS
   Vu T.K., 2017, J HYDROL
NR 64
TC 1
Z9 1
U1 1
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2023
VL 15
IS 6
AR 5494
DI 10.3390/su15065494
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA D4EH0
UT WOS:000968272400001
OA gold
DA 2025-01-10
ER

PT S
AU Zebek, E
AF Zebek, Elzbieta
BE Panero, P
   Dawidziuk, E
   Tarwacka, A
TI European Union environmental policy toward society
SO FAMILY, LAW, AND SOCIETY: From Roman Law to the Present Day
SE Ius Lex et Res Publica-Studies in Law Philosophy and Political Cultures
LA English
DT Article; Book Chapter
DE environmental law; EU policy; society; public participation;
   environmental impact assessment
AB EU environmental policy is established on the basis of Art. 11 and 191-193 of the TFU. The role of this policy is to ensure ecological security and high quality of life for society. This policy is sustainable and is based on the principles of precaution, preventive action and treatment at source, as well as the "polluter pays" principle. Currently, the EU has The Eighth Environment Action Program until 2030, which is based on the objectives of the European Green Deal and other EU programs, that is, circular economy, Fit for 50, the strategy "Toward a sustainable Europe 2030" and "From the field to the table." This program establishes a framework of six priority goals for reducing greenhouse gas emissions and climate neutrality, adaptability to climate change, transition to a circular economy, zero pollution, protecting and restoring biodiversity, and reducing environmental and climate pressures related to production and consumption. The society plays an important role in shaping environmental policy, especially in environmental impact assessment procedures. All these activities with the participation of society should in the future contribute to the improvement of the quality of the environment and, consequently, the quality of their lives, as well as the implementation of the leading principle of sustainable development-leaving environmental resources to future generations.
OI Zebek, Elzbieta/0000-0002-8637-8391
CR [Anonymous], 2010, OJL20 of 26.1, P7
   [Anonymous], 2012, OJL26of28.1., P1
   [Anonymous], 2022, PE/83/ 2021/REV/1 (OJL114of12.4., P22
   [Anonymous], 1998, Journal of Laws of.
   [Anonymous], 2020, Farm to Fork Strategy. For a Fair, Healthy and EnvironmentallyFriendly Food System
   [Anonymous], 2015, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, Closing the loop-An EU action plan for the Circular Economy, COM(2015) 614 final
   Bar M., 2011, Environmental Impact Assessment in a Construction Project, Legal Procedure and Preparation of Reports in the Investment Process
   Ciechanowicz-McLean J, 2009, Leksykon ochrony srodowiska
   Commission E., 1992, OJ L, V206, P7
   Communication from the Commission to the European Parliament the Council the European Economic and Social Committee and the Committee of the Regions, COM/2021/550 final
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   Geissdoerfer M, 2017, J CLEAN PROD, V143, P757, DOI 10.1016/j.jclepro.2016.12.048
   Halmaghi E., 2016, Scientific Bulletin, V21
   Jendroska J., 2021, The Opole Studies in Administration and Law, V19
   Kingston S, 2010, INT COMP LAW Q, V59, P1129, DOI 10.1017/S0020589310000552
   Murray A, 2017, J BUS ETHICS, V140, P369, DOI 10.1007/s10551-015-2693-2
   Paleari S, 2022, J ENVIRON DEV, V31, P196, DOI 10.1177/10704965221082222
   Pedersen A. B., 2021, Policy Briefs, V56
   Reis S., 2023, Ambio, V52
   Rolinski M, 2014, Studia Iuridica Lublinensia, V21
   Rydz-Zbikowska A, 2022, COMP ECON RES, V25, P135, DOI 10.18778/1508-2008.25.33
   Sala S, 2020, J ENVIRON MANAGE, V269, DOI [10.1016/j.jenvman.2020.110686, 10.1016/j.icarus.2020.110686]
   Schlacke S, 2022, OXF OPEN ENERGY, V1, DOI 10.1093/ooenergy/oiab002
   Schunz S, 2022, POLIT RES EXCHANGE, V4, DOI 10.1080/2474736X.2022.2085121
   United Nations, ResolutionNo.A/RES/70/1 adopted by the General Assembly on September 25, 2015, Transforming our world: The 2030 Agenda for Sus- tainable Development.
   von der Leyen U., 2019, POLITICAL GUIDELINES FOR THE NEXT EUROPEAN COMMISSION 2019-2024
   Wamsler C, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102373
   Wolf S., 2021, Intereconomics, V56
   Zebek E., 2019, Contemporary Problems of Human Rights: Selected Aspects
   Zebek E., 2018, KPP Monografie
   Zebek E., 2017, Scientific Journal WSFiP, V4
   Zebek EM, 2022, ENERGIES, V15, DOI 10.3390/en15228690
NR 32
TC 0
Z9 0
U1 0
U2 0
PU PETER LANG GMBH
PI BERLIN
PA INTL VERLAG WISSENSCH, SCHLUTERSTRASSE 42, 10707 BERLIN, GERMANY
SN 2191-3250
BN 978-3-631-91068-9; 978-3-631-91010-8
J9 Ius Lex Res Publica
PY 2023
VL 28
BP 499
EP 517
D2 10.3726/b21356
PG 19
WC Family Studies; History; Law
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Family Studies; History; Government & Law
GA BW6FJ
UT WOS:001173322200028
DA 2025-01-10
ER

PT J
AU Li, JY
   Nassauer, JI
AF Li Jiayang
   Nassauer, Joan Iverson
TI Designing Aesthetic Experiences for the Cultural Sustainability of
   Ecological Health
SO LANDSCAPE ARCHITECTURE FRONTIERS
LA English
DT Article
DE Aesthetics; Landscape Perception; Urban Ecosystems; Nature-Based
   Solutions; Green Infrastructure; Ecological Design
ID LANDSCAPE
AB Ensuring human wellbeing and promoting ecological health are two central objectives in contemporary landscape architecture practice and adaption to climate change. Cognitive sciences recognize that affect and emotion play a critical role in human decision-making. This article describes how aesthetic experiences could affect decisions that support or undermine ecological health. While the wellbeing benefits of pleasant landscape experiences have been demonstrated empirically, aesthetic experiences may or may not promote ecological health. The question of how to better align the two remains under debate and investigation. Building on the concept of cultural sustainability, this article elucidates how aesthetic experiences can be used in design tactics to encourage societal acceptance for highly functioning ecosystems that otherwise may be destroyed or resisted for their unappealing or unfamiliar appearance. With examples from China and the United States, this article illuminates how fine-scale, immediately noticeable landscape characteristics, such as "cues to care," can change perceptual and affective responses to promote ecological health. This article invites readers to reflect on what role aesthetic experiences may play in conserving, restoring, and creating ecologically sound landscapes as we face new challenges in the urban era of climate change, and how design can help construct aesthetic experiences with immediately noticeable landscape characteristics.
C1 [Li Jiayang; Nassauer, Joan Iverson] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
C3 University of Michigan System; University of Michigan
RP Li, JY (corresponding author), 440 Church St, Ann Arbor, MI 48109 USA.
EM jiayang@umich.edu
RI nassauer, joan/AAY-1599-2021; Li, Jiayang/KHC-3986-2024
CR American Society of Landscape Architecture, 2007, ASLA 2007 PROF AW GE
   Andersson E, 2015, ECOSYST SERV, V12, P165, DOI 10.1016/j.ecoser.2014.08.002
   [Anonymous], 2013, Designed Ecologies: the Landscape Architecture of Kongjian Yu
   [Anonymous], 2006, DESCRATRES ERROR
   [Anonymous], 1996, The experience of landscape
   Brady E, 2020, PEOPLE NAT, V2, P254, DOI 10.1002/pan3.10089
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Carlson A., 2004, The Aesthetics of Natural Environments, P11
   Carmichael CE, 2019, SOC NATUR RESOUR, V32, P588, DOI 10.1080/08941920.2018.1550229
   Daniel TC, 2001, LANDSCAPE URBAN PLAN, V54, P267, DOI 10.1016/S0169-2046(01)00141-4
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Dobbie M, 2013, LANDSCAPE URBAN PLAN, V110, P143, DOI 10.1016/j.landurbplan.2012.11.003
   Dronova I, 2019, SCI TOTAL ENVIRON, V688, P584, DOI 10.1016/j.scitotenv.2019.06.248
   Eaton Marcia Muelder, 1997, P85
   Flotemersch J, 2021, AMBIO, V50, P425, DOI 10.1007/s13280-020-01358-0
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Gittleman M, 2017, URBAN ECOSYST, V20, P129, DOI 10.1007/s11252-016-0575-8
   Gobster P.H., 1999, Landscape journal, V18, P54, DOI DOI 10.3368/LJ.18.1.54
   Gobster PH, 2007, LANDSCAPE ECOL, V22, P959, DOI 10.1007/s10980-007-9110-x
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Kaplan R., 1995, EXPERIENCE NATURE PS
   KAPLAN S, 1987, ENVIRON BEHAV, V19, P3, DOI 10.1177/0013916587191001
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Kondo MC, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15030445
   Kongjlan Y, 2020, LANDSC ARCHIT FRONT, V8, P12, DOI 10.15302/J-LAF-1-010011
   Kou HY, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16214145
   Lerner JS, 2015, ANNU REV PSYCHOL, V66, P799, DOI 10.1146/annurev-psych-010213-115043
   Li JY, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103821
   Li XP, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.126397
   Liu Y., 2019, Landsc. Archit, V26, P13, DOI [10.14085/j.fjyl.2019.06.0013.05, DOI 10.14085/J.FJYL.2019.06.0013.05]
   Liu YL, 2017, LANDSC ARCHIT FRONT, V5, P73, DOI 10.15302/J-LAF-20170308
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Menconi ME, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126878
   Meyer Elizabeth K., 2008, J LANDSC ARCHIT, V3, P6, DOI DOI 10.1080/18626033.2008.9723392
   Morecroft MD, 2019, SCIENCE, V366, P1329, DOI 10.1126/science.aaw9256
   Mozingo Louise., 1997, LANDSCAPE J, V16, P46, DOI [10.3368/lj.16.1.46, DOI 10.3368/LJ.16.1.46]
   NASSAUER JI, 1995, LANDSCAPE ECOL, V10, P229, DOI 10.1007/BF00129257
   NASSAUER JI, 1992, LANDSCAPE ECOL, V6, P239, DOI 10.1007/BF00129702
   NASSAUER JI, 1988, HORTSCIENCE, V23, P973
   Nassauer JI, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104156
   Nassauer Joan Iverson, 1997, P65
   Nassauer JoanIverson., 1995, Landscape Journal, V14, P161, DOI [10.3368/lj.14.2.161, DOI 10.3368/LJ.14.2.161]
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Thayer Robert., 1989, Landscape lournal, V8, P101, DOI DOI 10.3368/LJ.8.2.101
   Tuan Y.-F., 1990, Topophilia: A Study of Environmental Perception, Attitudes, and Values
   Ulrich R.S., 1983, BEHAV NATURAL ENV, P85, DOI DOI 10.1007/978-1-4613-3539-94
   ULRICH RS, 1986, LANDSCAPE URBAN PLAN, V13, P29, DOI 10.1016/0169-2046(86)90005-8
   Vessel EA, 2018, COGNITION, V179, P121, DOI 10.1016/j.cognition.2018.06.009
   Yu Z., 2019, ARCHIDOGS
NR 49
TC 1
Z9 3
U1 1
U2 34
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 2021
VL 9
IS 5
BP 72
EP 79
DI 10.15302/J-LAF-1-030029
PG 8
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA YV9KA
UT WOS:000753040400008
DA 2025-01-10
ER

PT J
AU Cole, RJ
AF Cole, Raymond J.
TI Navigating Climate Change: Rethinking the Role of Buildings
SO SUSTAINABILITY
LA English
DT Article
DE climate change; buildings; design professionals; COVID-19; green
   building; regenerative development and design; top-down; bottom-up
ID SUSTAINABILITY; PARADIGM
AB This paper focuses on the design of buildings as part of society's response to the climate crisis in the aftermath of the COVID-19 pandemic. It draws on a broad literature to address two interrelated goals-first, to align regenerative development and design with the necessary bottom-up adaptation strategies and human agency, and second, to identify new, broader possible roles of buildings and responsibilities of design professionals. This required a comparison of current green building and emerging regenerative approaches and identifying the relevant characteristics of top-down and bottom-up mechanisms. The paper accepts that adaptation to climate change will, to a large extent, depend on people's day-to-day actions in the places they live, and argues that the built environment will have to be infused with the capability to enable inhabitants' greater agency. Viewing buildings as playing a connective role in the existing urban fabric seriously challenges the primacy of the individual building as the focus of environmental strategies. The roles of building design professionals will likely expand to include mediating between top-down imposed government controls and increasing bottom-up neighborhood-scale social activism.
C1 [Cole, Raymond J.] Univ British Columbia, Sch Architecture & Landscape Architecture, Vancouver, BC V6T 1Z2, Canada.
C3 University of British Columbia
RP Cole, RJ (corresponding author), Univ British Columbia, Sch Architecture & Landscape Architecture, Vancouver, BC V6T 1Z2, Canada.
EM raycole@ubc.ca
CR Allred K.W., 2011, Pocket Guide to the Flora of the Jornada Basin, VSeventh
   AlWaer H., 2017, Rethinking Masterplanning: Creating Quality Places, P209
   [Anonymous], 2020, UN News
   [Anonymous], 2019, GBI TOOLS
   [Anonymous], 2018, Washington Post
   [Anonymous], 2019, MORGAN STANLEY
   [Anonymous], 1997, The Web of Life: A New Scientific Understanding of Living Systems
   [Anonymous], 2016, MAPPING CONFLICT TED
   [Anonymous], 2013, NATURE POLICY CHANGE
   [Anonymous], 2015, TACKL EMB CARB BUILD
   [Anonymous], 2019, SET ENERGY EFFICIENC
   [Anonymous], 2015, TEDDY CRUZ MEDIATING
   Arrhenius S., 1896, VET AKAD HANDL, V1, P22
   Arsenault C., 2019, CBC News
   Axelrod Tal., 2020, The Hill
   Baldwin R., 1990, BREEAM 1 90 AN ENV A
   Berry ThomasMary., 1987, CROSS CURRENTS, V37, P187
   Bollo CS, 2019, BUILD RES INF, V47, P219, DOI 10.1080/09613218.2017.1408265
   Bordass B, 2013, BUILD RES INF, V41, P1, DOI 10.1080/09613218.2012.750572
   BRE, 2015, M CONSTR 2025 TARG P
   Brody S., 2020, WBUR 0503
   Buchanan P., 1984, ARCHIT REV, V176, P23
   BuildingGreen, 2020, BUILDINGGREEN ARCHIT
   BuildingGreen, 2009, BUILDINGGREEN DESIGN
   CaGBC, 2020, ZER CARB BUILD DES S
   Clay PM, 2016, MAR POLICY, V74, P334, DOI 10.1016/j.marpol.2016.04.049
   CNA Military Advisory Board, 2014, NAT SEC ACC RISK CLI, P6
   Cole R.J., 2016, Building Research Information, V44, P456, DOI [DOI 10.1080/09613218.2016.1144397, 10.1080/09613218.2016, DOI 10.1080/09613218.2016]
   Cole RJ, 2013, BUILD RES INF, V41, P662, DOI 10.1080/09613218.2013.802115
   Cole RJ, 2013, BUILD RES INF, V41, P237, DOI 10.1080/09613218.2013.747130
   Cole RJ, 2012, BUILD RES INF, V40, P39, DOI 10.1080/09613218.2011.610608
   Cooper I., 2020, COMMUNICATION
   Cooper I, 2012, BUILD RES INF, V40, P357, DOI 10.1080/09613218.2012.662388
   Crist M., 2020, NY TIMES
   Cruikshank Julie., 2005, Do Glaciers Listen?: Local Knowledge, Colonial Encounters and Social Imagination
   Cruz T., 2014, IS OUR COLLECTIVE IM
   Du Plessis C, 2015, J CLEAN PROD, V109, P53, DOI 10.1016/j.jclepro.2014.09.098
   du Plessis C, 2012, BUILD RES INF, V40, P7, DOI 10.1080/09613218.2012.628548
   du Plessis C, 2011, BUILD RES INF, V39, P436, DOI 10.1080/09613218.2011.582697
   Eisenberg D., 2005, BUILD SAF J FEB, P8
   Eisenberg D., 2004, BUILD SAF J JUL, P8
   Evans S, 2020, CARBON BRIEF, V9
   Fedoruk L.E., 2013, THESIS
   Fenwick T, 2012, J EDUC WORK, V25, P141, DOI 10.1080/13639080.2012.644911
   Fourier J., 1824, Annales de Chimie et de Physique, V27, P136
   Friedman T., 2020, NY TIMES
   Fullerton John., 2015, Regenerative Capitalism: How Universal Principles and Patterns Will Shape Our New Economy
   Gann D., 2000, BUILDING INNOVATION
   Gates B, 2015, NEW ENGL J MED, V372, P1381, DOI 10.1056/NEJMp1502918
   Georgieva K., 2020, WILL COVID 19 FISCAL
   Gibbons LV, 2020, ECOL INDIC, V108, DOI 10.1016/j.ecolind.2019.105698
   Gladwin T.N., 1997, Environment, ethics and behaviour: The psychology of environmental valuation and degradation, P234
   Green Builder Media, 2020, GREEN BUILDER MEDIA
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Haapio A, 2012, ENVIRON IMPACT ASSES, V32, P165, DOI 10.1016/j.eiar.2011.08.002
   Hansen J, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0081648, 10.1371/journal.pone.0080954]
   Harari, 2018, 21 LESSONS 21 CENTUR
   Hay R., 2011, RIBA GUIDE LOCALIS 2
   HENIG R.M., 2020, NATL GEOGRAPHIC
   Hes D., 2014, DESIGNING HOPE PATHW
   Hes D., 2017, P BACK FUTURE NEXT 5, P553
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Janda KB, 2013, BUILD RES INF, V41, P39, DOI 10.1080/09613218.2013.743396
   Jasanoff S, 2010, THEOR CULT SOC, V27, P233, DOI 10.1177/0263276409361497
   Jones RN, 2004, CLIMATIC CHANGE, V67, P13, DOI 10.1007/s10584-004-3761-2
   Kamdar D., 2020, GLOBAL CONTEST MED E
   Kats G., 2018, GREENBIZ 0525
   Koerth M., 2019, 538 0208
   Larsson N., 2020, PANDEMICS BUILT ENV
   Le Quéré C, 2020, NAT CLIM CHANGE, V10, P647, DOI 10.1038/s41558-020-0797-x
   Lucon O, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P671
   Lyle J.T., 1994, REGENERATIVE DESIGN
   Mang P., 2016, REGENERATIVE DEV DES
   Mang P., 2013, SUSTAINABLE BUILT EN
   Mang P, 2012, BUILD RES INF, V40, P23, DOI 10.1080/09613218.2012.621341
   McDonough W., 2010, CRADLE CRADLE REMAKI
   Meadows DH, 2008, THINKING SYSTEMS PRI
   Monaco Lisa, 2018, FOREIGN POLICY
   Murakami S., 2014, CASBEE-A decade of development and application of an environmental assessment system for the built environment
   National Research Council, 1979, CARBON DIOXIDE CLIMA, P7
   Orr D., 2005, The sustainability revolution
   Orr D.W., 2011, Hope Is An Imperative: The Essential David Orr, DOI DOI 10.5822/978-1-61091-017-0
   Picon A., 2005, NEWSL SOC ARCHIT HIS, V49, P10
   PICS, 2018, UN BIOD LOSS BIG THR
   Pilkington E., 2020, The Guardian
   POVINELLI EA, 1995, AM ANTHROPOL, V97, P505, DOI 10.1525/aa.1995.97.3.02a00090
   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]
   Raworth K., 2017, Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist
   Reed B, 2007, BUILD RES INF, V35, P674, DOI 10.1080/09613210701475753
   Ritchie H, 2022, Our World in Data
   Sennett R., 2020, SHOULD WE LIVE DENSI
   Spratt D., 2020, FATAL CALCULATIONS E
   State of Nature Partnership, 2019, STAT NAT 2019 REP
   Steele J., 2020, FORBES
   Tainter JA, 2012, BUILD RES INF, V40, P369, DOI 10.1080/09613218.2012.671998
   Taylor M., 2020, GUARDIAN WEEKLY, P35
   Taylor M., 2011, RIBA GUIDE LOCALIS 1
   Tenbrunsel A.E., 1997, Environment, ethics, and behavior: The Psychology of Environmental Valuation and Degradation, P105
   The Royal Society, 2020, CLIM IS ALW CHANG WH
   Toon O.B., 1973, ICARUS, V19, P609
   Tschumi B., 1998, ARCHIT DES, V58, P35
   Tyndall J., 1861, PHILOS T R SOC LONDO, V151, P8
   U.N. United Nations Human Rights Office of the High Commissioner, 2019, UN EXP COND FAIL ADD
   U.S. National Centers for Environmental Information, 2019, US NATL CTR ENV INFO
   United Nations Environment Programme, Emission Gap Report 2019
   US Government Accountability Office, CLIM CHANG FUND MAN
   US Green Building Council, 2015, US GREEN BUILDING CO
   Van Dam A., 2020, Washington Post
   Velasco Fuentes C.F., 2015, THESIS
   Wall Kimmerer R., 2013, Braiding Sweetgrass
   Watson R., 2009, GREEN BUILDING MARKE
   Weible CM, 2020, POLICY SCI, V53, P225, DOI 10.1007/s11077-020-09381-4
   World Bank, 2020, Building a Resilient Recovery
   World Resources Institute, 2016, WORLD RESOURCES I RO
   Yunkaporta T., 2020, SAND TALK INDIGENOUS
   Zenghelis D., 2012, GLOBAL PROBLEMS CITY
NR 116
TC 10
Z9 10
U1 4
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2020
VL 12
IS 22
AR 9527
DI 10.3390/su12229527
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 OZ0FY
UT WOS:000594613400001
OA gold
DA 2025-01-10
ER

PT J
AU Sujakhu, NM
   Ranjitkar, S
   He, J
   Schmidt-Vogt, D
   Su, YF
   Xu, JC
AF Sujakhu, Nani Maiya
   Ranjitkar, Sailesh
   He, Jun
   Schmidt-Vogt, Dietrich
   Su, Yufang
   Xu, Jianchu
TI Assessing the Livelihood Vulnerability of Rural Indigenous Households to
   Climate Changes in Central Nepal, Himalaya
SO SUSTAINABILITY
LA English
DT Article
DE livelihood vulnerability index; climate change; social and gender
   vulnerability; Himalaya
ID ADAPTIVE CAPACITY; ADAPTATION; WATER; DETERMINANTS; PERCEPTIONS;
   COMMUNITIES; IMPACTS
AB Climate change and related hazards affect the livelihoods of people and their vulnerability to shocks and stresses. Though research on the linkages between a changing climate and vulnerability has been increasing, only a few studies have examined the caste/ethnicity and gender dimensions of livelihood vulnerability. In this study, we attempt to explore how cultural and gender-related aspects influence livelihood vulnerability in indigenous farming mountain communities of the Nepal Himalaya in the context of climate change. We applied the Livelihood Vulnerability Index (LVI) to estimate household (social group and gender-based) vulnerability in farming communities in the Melamchi River Valley, Nepal. The results identified female-headed families, and those belonging to disadvantaged social groups as more vulnerable and in need of being preferentially targeted by policy measures. Higher exposure to climatic extremes and related hazards, dependency on natural resources, lack of financial assets, and weak social networking were identified as components that determine overall vulnerability. The study also visualizes complex adaptation pathways and analyzes the influence of gender and ethnicity on the capacities of households and communities to adapt to climate change.
C1 [Sujakhu, Nani Maiya; He, Jun] Yunnan Univ, Natl Ctr Borderland Ethn Studies Southwest China, Kunming 650091, Yunnan, Peoples R China.
   [Sujakhu, Nani Maiya; Ranjitkar, Sailesh; Xu, Jianchu] Kunming Inst Bot, Ctr Mt Futures, Kunming 650201, Yunnan, Peoples R China.
   [Ranjitkar, Sailesh; Su, Yufang; Xu, Jianchu] World Agroforestry Ctr ICRAF, East & Cent Asia Reg Off, Kunming 650201, Yunnan, Peoples R China.
   [Schmidt-Vogt, Dietrich] Freiburg Univ, Fac Environm & Nat Resources, Tennenbacherstr 4, D-79106 Freiburg, Germany.
   [Su, Yufang] Yunnan Acad Social Sci, Inst Econ, Kunming 650034, Yunnan, Peoples R China.
C3 Yunnan University; Chinese Academy of Sciences; Kunming Institute of
   Botany, CAS; University of Freiburg
RP Sujakhu, NM; He, J (corresponding author), Yunnan Univ, Natl Ctr Borderland Ethn Studies Southwest China, Kunming 650091, Yunnan, Peoples R China.; Sujakhu, NM (corresponding author), Kunming Inst Bot, Ctr Mt Futures, Kunming 650201, Yunnan, Peoples R China.
EM nani.sujakhu@outlook.com; sailesh.ranjitkar@gmail.com;
   jun.he@ynu.edu.cn; dietrich.schmidt-vogt@waldbau.uni-freiburg.de;
   suyufang@mail.kib.ac.cn; jxu@mail.kib.ac.cn
RI Xu, Jianchu/Y-2890-2019; Su, Yufang/JKH-8115-2023; He, Jun/A-5340-2019;
   Ranjitkar, Sailesh/I-9307-2014
OI Ranjitkar, Sailesh/0000-0002-4741-3975; He, Jun/0000-0002-1994-8075; Su,
   Yufang/0000-0002-9367-8157
FU Building Effective Water Governance in the Asian Highlands [107085-002];
   National Natural Science Foundation of China [41661144002]; Ministry of
   Education of China [16JJD850015]; CGIAR Research Program on climate
   change [FTA-FP5]
FX The Building Effective Water Governance in the Asian Highlands (Project
   no. 107085-002) funded this research. Additionally, the National Natural
   Science Foundation of China (Project No. 41661144002), Ministry of
   Education of China (Project No. 16JJD850015), and the CGIAR Research
   Program on climate change (FTA-FP5) partially supported this research.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   [Anonymous], 2013, CBS NAT POP HOUS CEN
   [Anonymous], 2004, NEFIN CLASS SCHED IN
   [Anonymous], 2012, CBS NAT POP HOUS CEN, V01
   [Anonymous], 2010, HIMAL J SOCIOL ANTHR, DOI DOI 10.3126/HJSA.V4I0.4672
   [Anonymous], 2002, DERIVATION TESTING W
   Baird Rachel., 2008, IMPACT CLIMATE CHANG
   Barros R, 1997, ECON DEV CULT CHANGE, V45, P231, DOI 10.1086/452272
   Barros V.R., 2014, 5 INT PAN CLIM CHANG
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Clarke G.E., 1980, J. Nepal Research Centre, V4, P1
   Dowla A., 2006, Journal of Socio-Economics, V35, P102
   Dube T., 2013, American International Journal of Contemporary Research, V3, P11
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Fitzpatrick I.C., 2011, CARDAMOM CLAS LIMBU, V32
   Folmar S., 2013, NATIONALISM ETHNIC C, P85
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gillespie P., 2011, CLASS CAST CLIM CHAN
   Goodrich C.G., 2017, STATUS GENDER VULNER
   Graner E., 1997, Contributions to Nepalese Studies, V24, P217
   Graner E., 1996, USER GROUP FORESTRY
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hammill A, 2008, IDS BULL-I DEV STUD, V39, P113, DOI 10.1111/j.1759-5436.2008.tb00484.x
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hoff H., 2005, VIERTELJAHRSHEFTE WI, V74, P196, DOI [10.3790/vjh.74.2.196, DOI 10.3790/VJH.74.2.196]
   Hung LS, 2016, APPL GEOGR, V76, P184, DOI 10.1016/j.apgeog.2016.09.021
   Islam MM, 2014, REG ENVIRON CHANGE, V14, P281, DOI 10.1007/s10113-013-0487-6
   Islam S., 2008, ROLE MICROFINANCE TO
   Lambrou Y., 2006, Gender: The missing component of the response to climate change
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Macchi M., 2011, FRAMEWORK COMMUNITY
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Meinzen-Dick R., 2010, Engendering Agricultural Research (00; Issue May)
   Metha M., 2007, GENDER MATTERS LESSO
   Mikkonen E., 2017, BRIDGES MOUNTAIN RAN
   MoE, 2010, MOE CLIM CHANG VULN
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Nelson V., 2011, GENDER GENERATIONS S, P171
   Nepal CBS, 2012, NATL REPORT
   Nhemachena C., 2007, INT FOOD POLICY RES
   Ospina A., 2010, LINKING ICTS CLIMATE
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Pandey T.R., 2006, FORMS PATTERNS SOCIA
   Penalba L. M., 2013, World Applied Sciences Journal, V24, P1211
   Pokharel B., 2010, J SOCIOL ANTHR, V4, DOI [10.3126/dsaj.v4i0.4513, DOI 10.3126/DSAJ.V4I0.4513]
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Quisumbing A.R., 2001, P 2020 VIS FOOD AGR, P24
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Sheth D.L., 2004, Caste, Ethnicity and Exclusion in South Asia: The Role of Affirmative Action Policies in Building Inclusive Societies
   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
   Sujakhu NM, 2018, WATER INT, V43, P165, DOI 10.1080/02508060.2017.1416445
   Sujakhu NM, 2016, MT RES DEV, V36, P15, DOI 10.1659/MRD-JOURNAL-D-15-00032.1
   Tenge AJ, 2004, LAND DEGRAD DEV, V15, P99, DOI 10.1002/ldr.606
   Tiwary Rakesh, 2007, INT J RURAL MANAGEME, V3, p[43, 43], DOI [DOI 10.1177/097300520700300103, 10.1177/097300520700300103]
   Tubiello F.N., 2008, Integ. Assess. J, V8, P165
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Yoon DK, 2012, NAT HAZARDS, V63, P823, DOI 10.1007/s11069-012-0189-2
NR 64
TC 62
Z9 65
U1 9
U2 63
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY 2
PY 2019
VL 11
IS 10
AR 2977
DI 10.3390/su11102977
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 IC5LV
UT WOS:000471010300260
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Altschuler, B
   Brownlee, M
AF Altschuler, Benjamin
   Brownlee, Matthew
TI Perceptions of climate change on the Island of Providencia
SO LOCAL ENVIRONMENT
LA English
DT Article
DE climate change; local perceptions; small island developing states
ID ADAPTIVE GOVERNANCE; CHANGE ADAPTATION; RESILIENCE; KNOWLEDGE; RISK;
   PERSPECTIVES; SOCIETY; FUTURE; COMANAGEMENT; CONSERVATION
AB Climate change-related impacts have the capacity to substantially influence Small Island Developing States (SIDS) in the Caribbean. Currently, many SIDS are engaged in large-scale vulnerability assessments that aim to identify, analyse, and inform solutions to mitigate climate change-related impacts. Many of these assessments, while useful, place little emphasis on the local stakeholders' perceptions of climate change. One such Caribbean community impacted by climate-related change is Providence Island in Colombia. Using a vulnerability assessment framework (Marshall, P.A. et al. 2010. A framework for social adaptation to climate change: sustaining tropical coastal communities and industries. Gland: IUCN Publication Services), researchers interviewed island residents (N = 23) about their perceptions of climate change, impacts on the local environment, and how the island community may adapt. All interviews were transcribed and analysed using a priori and open coding to identify patterns of and relationships between stakeholders' responses. Results indicate that local perceptions of climate change are linked to (1) environmental knowledge, (2) environmental awareness, attitudes, and beliefs, and (3) perceptions of risk. Implications for local adaptive strategies, education, communication, and suggestions for engagement at the local level are discussed.
C1 [Altschuler, Benjamin; Brownlee, Matthew] Univ Utah, Dept Pk Recreat & Tourism, Salt Lake City, UT USA.
C3 Utah System of Higher Education; University of Utah
RP Altschuler, B (corresponding author), Univ Utah, Dept Pk Recreat & Tourism, Salt Lake City, UT USA.
EM ben.altschuler@utah.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]
   Angeles ME, 2007, INT J CLIMATOL, V27, P555, DOI 10.1002/joc.1416
   Angen MJ, 2000, QUAL HEALTH RES, V10, P378, DOI 10.1177/104973200129118516
   [Anonymous], THESIS
   [Anonymous], GEOLOGICAL SOC AM AB
   [Anonymous], CLIM CHANG 2013 PHYS
   [Anonymous], 2001, Polar Rec.
   [Anonymous], FRAMEWORK SOCIAL ADA
   [Anonymous], 2009, GALLUP
   [Anonymous], ENVIRON MANAGE
   [Anonymous], NATURE CONSERVANCY
   [Anonymous], CLIM CHANG CAR CHALL
   [Anonymous], J GEOPHYS RES ATMOS
   [Anonymous], CONSERVATION ECOLOGY
   [Anonymous], 2014, Ethnologue: Languages of the world
   Becken S, 2013, ENVIRON DEV, V8, P22, DOI 10.1016/j.envdev.2013.05.007
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Berkes F, 2001, OCEAN COAST MANAGE, V44, P451, DOI 10.1016/S0964-5691(01)00060-6
   Biasutti M, 2012, CLIMATIC CHANGE, V112, P819, DOI 10.1007/s10584-011-0254-y
   Bickerstaff K, 2004, ENVIRON INT, V30, P827, DOI 10.1016/j.envint.2003.12.001
   Bickerstaff Karen., 1999, LOCAL ENVIRON, V4, P279, DOI DOI 10.1080/13549839908725600
   Bishop ML, 2012, J DEV STUD, V48, P1536, DOI 10.1080/00220388.2012.693166
   Brownlee MTJ, 2014, SOC NATUR RESOUR, V27, P964, DOI 10.1080/08941920.2014.929768
   Brownlee MTJ, 2013, ENVIRON EDUC RES, V19, P1, DOI 10.1080/13504622.2012.683389
   Brownlee MTJ, 2013, ENVIRON MANAGE, V52, P1132, DOI 10.1007/s00267-013-0153-2
   Bueno R., 2008, The Caribbean and Climate Change
   BURNINGHAM K, 1994, SOCIOLOGY, V28, P913, DOI 10.1177/0038038594028004007
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Campbell JD, 2011, INT J CLIMATOL, V31, P1866, DOI 10.1002/joc.2200
   Cashman A, 2010, J ENVIRON DEV, V19, P42, DOI 10.1177/1070496509347088
   Cashman AC, 2012, WATER POLICY, V14, P14, DOI 10.2166/wp.2011.122
   Cortes J., 2003, LATIN AM CORAL REEFS
   Creswell J.W., 2016, Qualitative inquiry and research design: choosing among five approaches
   Danielsen F, 2005, BIODIVERS CONSERV, V14, P2507, DOI 10.1007/s10531-005-8375-0
   Daze A., 2009, Climate vulnerability and capacity analysis handbook, V1st
   Duvall J., 2007, Journal of Environmental Education, V38, P14, DOI [DOI 10.3200/JOEE.38.4.14-24, 10.3200/JOEE.38.4.14-24]
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   GADGIL M, 1993, AMBIO, V22, P151
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gunderson L, 2006, POLICY SCI, V39, P323, DOI 10.1007/s11077-006-9027-2
   Heimlich JE, 2008, ENVIRON EDUC RES, V14, P215, DOI 10.1080/13504620802148881
   Ireland P, 2012, LOCAL ENVIRON, V17, P187, DOI 10.1080/13549839.2012.660907
   Kloprogge P, 2006, CLIMATIC CHANGE, V75, P359, DOI 10.1007/s10584-006-0362-2
   Kupperman KarenO., 1993, Providence Island, 1630-1641: the other Puritan colony
   Laidler GJ, 2006, CLIMATIC CHANGE, V78, P407, DOI 10.1007/s10584-006-9064-z
   Lal M, 2002, CLIMATE RES, V19, P179, DOI 10.3354/cr019179
   Lauer M, 2010, ENVIRON MANAGE, V45, P985, DOI 10.1007/s00267-010-9471-9
   Lebel L, 2006, ECOL SOC, V11
   Lertzman D. A., 2010, BC Journal of Ecosystems and Management, V10, P104
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009
   Martín-Prieto JA, 2013, J COASTAL RES, P997, DOI 10.2112/SI65-169.1
   McNamara KE, 2011, LOCAL ENVIRON, V16, P887, DOI 10.1080/13549839.2011.615304
   Meffe G.K., 2002, ECOSYSTEM MANAGEMENT
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Niemeyer S, 2005, RISK ANAL, V25, P1443, DOI 10.1111/j.1539-6924.2005.00691.x
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Paton K, 2010, LOCAL ENVIRON, V15, P687, DOI 10.1080/13549839.2010.498809
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Plummer R, 2007, ECOL ECON, V61, P62, DOI 10.1016/j.ecolecon.2006.09.025
   Pulwarty RS, 2010, ENVIRONMENT, V52, P16, DOI 10.1080/00139157.2010.522460
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Rosa EA, 1998, INT SOCIOL, V13, P421, DOI 10.1177/026858098013004002
   Ruiz J, 2005, BIOTROPICA, V37, P520, DOI 10.1111/j.1744-7429.2005.00070.x
   Schwandt T.A., 1998, The landscape of qualitative research: Theories and issues
   Seidman I., 2019, INTERVIEWING QUALITA
   Seipt C, 2013, ENVIRON DEV, V5, P1, DOI 10.1016/j.envdev.2012.11.006
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Taylor Michael A., 2012, Climate Change and the Caribbean: Review and Response Caribbean Studies, V40, P169
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Villegas B., 2006, Colombia Natural Parks
   Wakefield SEL, 2001, HEALTH PLACE, V7, P163, DOI 10.1016/S1353-8292(01)00006-5
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Wilbanks T.J., 2002, INTEGR ASSESS, V3, P100, DOI DOI 10.1076/IAIJ.3.2.100.13575
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
NR 78
TC 24
Z9 31
U1 3
U2 41
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PY 2016
VL 21
IS 5
BP 615
EP 635
DI 10.1080/13549839.2015.1004165
PG 21
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA DP0HT
UT WOS:000378171100005
DA 2025-01-10
ER

PT J
AU Forsyth, T
AF Forsyth, Tim
TI Ecological Functions and Functionings: Towards a Senian Analysis of
   Ecosystem Services
SO DEVELOPMENT AND CHANGE
LA English
DT Article
ID SUSTAINABILITY SCIENCE; ADAPTATION; CAPABILITIES
AB Ecosystem services are part of a growing trend within environment and development to analyse environmental change within the context of socially valued outcomes. Yet, ecosystem services-based policies and analyses are increasingly criticized for failing to connect with, or even for restricting, development outcomes. This article seeks to connect environmental analysis with development outcomes better by applying the capability approach of Amartya Sen and others. It demonstrates how scientific analysis of ecosystem services sometimes conflates pathways of ecosystem management with development outcomes, but that it can be reconfigured to include more diverse values and objectives. The article argues that ecosystem services should be identified more as functionings' (in the Senian sense of valued development outcomes) rather than functions' (in the sense of biophysical, apolitical ecosystem properties) in order to indicate that services' always reflect social values, and that values and scientific explanations of underlying biophysical properties evolve together. Environmental science for socially valued outcomes such as ecosystem services is therefore an important site of political inclusion and exclusion. The article illustrates this analysis with examples of ecosystem-based adaptation to climate change from the World Bank and government of Bangladesh, and in contrast to differing approaches from the field of sustainability science.
C1 Univ London London Sch Econ & Polit Sci, Dept Int Dev, Environm & Dev, Houghton St, London WC2A 2AE, England.
C3 University of London; London School Economics & Political Science
RP Forsyth, T (corresponding author), Univ London London Sch Econ & Polit Sci, Dept Int Dev, Environm & Dev, Houghton St, London WC2A 2AE, England.
EM t.j.forsyth@lse.ac.uk
RI Forsyth, Tim/K-1044-2019
OI Forsyth, Tim/0000-0001-7227-9475
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agarwal A., 1991, GLOBAL WARMING UNEQU
   Anand P, 2005, SOC INDIC RES, V74, P9, DOI 10.1007/s11205-005-6518-z
   [Anonymous], 2009, ECOSYSTEM BASED ADAP, DOI DOI 10.1093/JSS/XXXIII.1.1
   [Anonymous], EC EC BIOD LOC REG P
   [Anonymous], US EC ADDR CLIM CHAN
   [Anonymous], 2004, EXPLORING LINKS HUMA
   [Anonymous], 2005, Ecosystems and human well-being, V5
   [Anonymous], 2006, FAIRNESS ADAPTATION
   [Anonymous], 1996, LIE LAND MIGRANT WOR
   [Anonymous], 2005, SOC INDIC RES, DOI DOI 10.1007/s11205-005-6525-0
   [Anonymous], 1999, Development as Freedom
   [Anonymous], 1997, Nature's Services
   [Anonymous], 2011, DOES EBA WORK REV EV
   [Anonymous], 2005, Journal of Human Development, DOI [10.1080/146498805200034266, DOI 10.1080/146498805200034266]
   [Anonymous], 1951, Two Dogmas of Empiricism.
   [Anonymous], 1993, QUALITY LIFE
   [Anonymous], THESIS
   Ayers J, 2011, GLOBAL ENVIRON POLIT, V11, P62, DOI 10.1162/GLEP_a_00043
   Beymer-Farris BA, 2012, GLOBAL ENVIRON CHANG, V22, P332, DOI 10.1016/j.gloenvcha.2011.11.006
   Boyd E, 2009, ENVIRON SCI POLICY, V12, P820, DOI 10.1016/j.envsci.2009.06.007
   Bunce M, 2010, ENVIRON SCI POLICY, V13, P485, DOI 10.1016/j.envsci.2010.06.003
   Burton I., 2009, Earthscan Reader on Adaptation to Climate Change, eds, P89
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Chiccoli C, 2006, MOL CRYST LIQ CRYST, V449, pVII, DOI 10.1080/15421400600579800
   Christoplos I., 2009, The Human Dimension of Climate Adaptation: The Importance of Local and Institutional Issues
   Clark DA, 2009, J HUM DEV CAPABIL, V10, P21, DOI 10.1080/14649880802675051
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Corbera E, 2007, DEV CHANGE, V38, P587, DOI 10.1111/j.1467-7660.2007.00425.x
   Corbridge Stuart., 2002, Progress in Development Studies, V2, P183, DOI DOI 10.1191/1464993402PS037RA
   Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105
   DEGROOT RS, 1987, ENVIRONMENTALIST, V7, P105, DOI 10.1007/BF02240292
   Deneulin Severine., 2009, An Introduction to the Human Development and Capability Approach
   Dodman D., 2011, URBAN ADAPTATION PLA
   Ehrlich Paul., 1981, EXTINCTION
   Epstein S., 1996, Impure science
   Filer C., 2009, Virtualism, governance and practice: Vision and execution in environmental conservation, P84
   Fisher J., 2013, The Justices and Injustices of Ecosystem Services
   Forsyth T, 2008, GEOFORUM, V39, P756, DOI 10.1016/j.geoforum.2006.12.005
   Forsyth T, 2013, WORLD DEV, V43, P56, DOI 10.1016/j.worlddev.2012.11.010
   Forsyth Tim., 2002, CRITICAL POLITICAL E
   Garvin T, 2001, RISK ANAL, V21, P443, DOI 10.1111/0272-4332.213124
   Gasper Des., 2004, ETHICS DEV EC HUMAN
   Gómez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007
   Gual MA, 2010, ECOL ECON, V69, P707, DOI 10.1016/j.ecolecon.2008.07.020
   Hajer M.A., 1996, The politics of environmental discourse
   Holland B, 2008, POLIT RES QUART, V61, P319, DOI 10.1177/1065912907306471
   Holland Breena., 2008, J HUM DEV CAPABIL, V9, P401, DOI [10.1080/14649880802236631, DOI 10.1080/14649880802236631]
   Jax K, 2005, OIKOS, V111, P641, DOI 10.1111/j.1600-0706.2005.13851.x
   Jax K., 2010, Ecosystem Functioning, DOI DOI 10.5281/ZENODO.14160081
   Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008
   Komiyama H, 2006, SUSTAIN SCI, V1, P1, DOI 10.1007/s11625-006-0007-4
   Kosoy N, 2010, ECOL ECON, V69, P1228, DOI 10.1016/j.ecolecon.2009.11.002
   Landell-Mills N., 2002, SILVER BULLET FOOLS
   Latour B., 1991, We Have Never Been Modern
   Law John., 2011, The Politics of Knowledge, P156
   Leach M, 1999, WORLD DEV, V27, P225, DOI 10.1016/S0305-750X(98)00141-7
   Lele S, 2013, CONSERV SOC, V11, P343, DOI 10.4103/0972-4923.125752
   Lemos MC, 2011, POLITICS OF CLIMATE CHANGE: A SURVEY, 1ST EDITION, P96
   MacDonald KI, 2012, DEV CHANGE, V43, P159, DOI 10.1111/j.1467-7660.2012.01753.x
   Mace GM., 2011, UK NATL ECOSYSTEM AS
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Martin T, 2013, JUSTICES INJUSTICES, P69
   McAfee K, 2012, DEV CHANGE, V43, P105, DOI 10.1111/j.1467-7660.2011.01745.x
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   Milne S, 2012, DEV CHANGE, V43, P133, DOI 10.1111/j.1467-7660.2011.01748.x
   Morad M, 2004, GEOFORUM, V35, P661, DOI 10.1016/j.geoforum.2004.06.005
   Norgaard RB, 2008, CONSERV BIOL, V22, P862, DOI 10.1111/j.1523-1739.2008.00922.x
   Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009
   Nussbaum MarthaC., 2013, CREATING CAPABILITIE, DOI DOI 10.4159/HARVARD.9780674061200
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Peterson M., 2009, CONSERV BIOL, V24, P113
   Polishchuk Y, 2012, ECOL ECON, V81, P103, DOI 10.1016/j.ecolecon.2012.06.010
   Revenga C., 1998, Watersheds of the world: ecological value and vulnerability.
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Sabates-Wheeler R, 2008, IDS BULL-I DEV STUD, V39, P53
   Sankey Howard., 2008, Scientific Realism and the Rationality of Science
   Schipper E.L.F., 2006, Rev. Eur. Comp. Int. Environ. Law, V15, P82, DOI [DOI 10.1111/J.1467-9388.2006.00501.X, 10.1111/j.1467-9388.2006.00501.x]
   Schischka J., 2008, Journal of Human Development, V9, P229, DOI [10.1080/14649880802078777, DOI 10.1080/14649880802078777]
   Scholtes F, 2010, OXF DEV STUD, V38, P289, DOI 10.1080/13600818.2010.505683
   Searle J.R., 2007, CONSTRUCTION SOCIAL
   Sen A., 1992, INEQUALITY REEXAMINE
   Sen AK., 2010, IDEA JUSTICE
   Sikor T., 2013, The justices and injustices of ecosystem services, P15
   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]
   Swift MJ, 2004, AGR ECOSYST ENVIRON, V104, P113, DOI 10.1016/j.agee.2004.01.013
   TELLAM I, 2007, TIEMPO, V64, P14
   Van Hecken G, 2010, DEV CHANGE, V41, P421, DOI 10.1111/j.1467-7660.2010.01644.x
   Vira B, 2009, CONSERV LETT, V2, P158, DOI 10.1111/j.1755-263X.2009.00063.x
   World Bank, 2010, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8126-7
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NR 96
TC 20
Z9 21
U1 0
U2 38
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0012-155X
EI 1467-7660
J9 DEV CHANGE
JI Dev. Change
PD MAR
PY 2015
VL 46
IS 2
BP 225
EP 246
DI 10.1111/dech.12154
PG 22
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA CD8NP
UT WOS:000351352500002
DA 2025-01-10
ER

PT S
AU Dickinson, T
   Burton, I
AF Dickinson, Thea
   Burton, Ian
BE Ford, JD
   BerrangFord, L
TI Adaptation to Climate Change in Canada: A Multi-level Mosaic
SO CLIMATE CHANGE ADAPTATION IN DEVELOPED NATIONS: FROM THEORY TO PRACTICE
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Canada; Adaptation; Climate change; Top-down; UNFCCC; National
   assessment; Province; Territory; Municipality; National strategy
AB The necessity for adaptation is now widely recognized in Canada. However, the developing pattern of response is an expanding mosaic. Individual pieces - i.e., initiatives at the provincial, territorial, and municipal levels are visible, but the overall strategic design is lacking clarity and cohesion. This is likely due, in part, to Canada's federalism, and to the conceptualization of adaptation in the United Nations Framework Convention on Climate Change (UNFCCC). The negotiations leading to the UNFCCC conceived of adaptation as largely a place-based and local matter; of concern only to those most vulnerable communities and countries. In consequence, a bottom-up approach was viewed as the preferred option. Over the life of the UNFCCC, adaptation has grown in significance and has come to be seen as requiring top-down strategic approaches. A major challenge now facing Canada and indeed all Parties to the Convention will be the effective and simultaneous management and coordination of both top-down and bottom-up approaches. Currently, in Canada, the blend has been allowed to evolve almost unguided, with modest encouragement from the federal government. Leadership has emerged at both provincial and municipal levels across the country. But it is not clear what the consequences of such an approach will be.
C1 [Dickinson, Thea] Burton Dickinson Consulting, Toronto, ON M4E 1R1, Canada.
   [Burton, Ian] Environm Canada, Adaptat & Impacts Res Grp AIRG, Meteorol Serv Canada, Downsview, ON, Canada.
   [Burton, Ian] Univ Toronto, Inst Environm Studies, Toronto, ON, Canada.
C3 Environment & Climate Change Canada; Meteorological Service of Canada;
   University of Toronto
RP Dickinson, T (corresponding author), Burton Dickinson Consulting, 600 Kingston Rd,Suite 204, Toronto, ON M4E 1R1, Canada.
EM thea.dickinson@rogers.com; Ian.Burton@ec.gc.ca
OI Burton, Ian/0000-0003-2191-0639; Dickinson, Thea/0000-0002-8405-5943
CR *ALB GOV, 2008, CLIM CHANG STRAT RES
   [Anonymous], 2007, From impacts to adaptation: Canada in a changing climate 2007: Synthesis
   [Anonymous], 1997, CAN COUNTR STUD CLIM
   *BRIT COL GOV, 2009, PREP CLIM CHANG BRIT
   Burton I, 2007, CLIM POLICY, V7, P371, DOI 10.1080/14693062.2007.9685662
   *COWI, 2009, JOINT EXT EV EV OP L
   Dickinson T., 2007, The Compendium of Adaptation Models for Climate Change, VFirst
   *FCM, 2009, MUN RES AD CLIM CHAN
   GARDNER A, 1994, FEDERAL INTERGOVERNM
   *GOV CAN, 2010, 5 NAT COMM CLIM CHAN
   *MAN GOV, 2008, AD CLIM CHANG PREP F
   Morton F.L., 1996, Federalism and the Environment: Environmental Policymaking in Australia, Canada, and the UnitedStates
   *NEW BRUNSW GOV, 2007, CLIM CHANG ACT PLAN
   *NEWF LABR GOV, 2005, CLIM CHANG ACT PLAN
   *NOV SCOT GOV, 2009, GREEN FUT NOV SCOT C
   *NUN GOV, 2003, NUN CLIM CHANG STRAT
   *NW TERR GOV, 2008, CLIM CHANG IMP AD RE
   *ONT GOV, 2007, ONT ACT PLAN CLIM
   *P EDW ISL GOV, 2008, P EDW ISL CLIM CHANG
   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]
   *QUEB GOV, 2008, QUEB CLIM CHANG CHAL
   *SASK GOV, 2009, CLIM CHANG AD RES
   *YUK GOV, 2009, CLIM CHANG ACT PLAN
NR 23
TC 19
Z9 20
U1 1
U2 5
PU SPRINGER
PI DORDRECHT
PA PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
SN 1574-0919
BN 978-94-007-0566-1
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2011
VL 42
BP 103
EP 117
DI 10.1007/978-94-007-0567-8_7
D2 10.1007/978-94-007-0567-8
PG 15
WC Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BWE55
UT WOS:000293761100007
DA 2025-01-10
ER

PT J
AU Orindi, VA
   Ochieng, A
AF Orindi, VA
   Ochieng, A
TI Case study 5: Kenya - Seed fairs as a drought recovery strategy in Kenya
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
AB Adaptation to climate change is a critical issue for Kenya's food security and future economic growth. Agriculture directly or indirectly supports 80 per cent of the population and much of Kenya's economy is based on agro-based industries. Climate change puts Kenya's development at risk through potential changes in precipitation in semi-arid areas, increased incidence of waterborne diseases in humid areas and increased rates of depletion of biomass and biodiversity The case study of Eastern Kenya examines different institutional mechanisms for seed distribution in the wake of successive droughts from 1991-2004, interspersed with floods, which resulted in a massive loss of crops, livestock and rural infrastructure. Seed fairs, organised by local communities with support from external NGOs, are found to be a more cost-effective mechanism for rapid seed distribution to the neediest sections of society than conventional, commercial channels. The latter wrongly assume that in periods of emergency local seed varieties are unavailable, when the key issue is of securing access. Seed fairs ensure seed varieties better adapted to local conditions are available during emergency periods. They also avoid the creation of dependency, help to build affected communities' social capital and contribute positively to the maintenance of biodiversity.
CR *AIACC, 2002, UNEP START TWAS GEF
   Aklilu Yakob., 2002, Drought, livestock and livelihoods: lessons from the 1999-2001 emergency response in the pastoral section in Kenya
   [Anonymous], 2004, BOTSW HUM DEV REP
   BRAMEL P, 2004, CRS SEED VOUCHERS FA
   *CRS, 2003, EM SEED DEL SEED VOU
   CRS ODI & ICRISAT, 2002, SEED VOUCH FAIRS MAN
   GoK, 2004, STRAT REV AGR 2004 2
   *GOK, 2002, 1 NAT COMM KEN C PAR
   GoK, 2003, EC REC STRAT WEALTH
   HAUGEN JM, 2001, TARGETED SEED AID SE
   *IRI, 2005, 0105 IRI
   *ITDGEA, 2000, COMM SEED SHOWS CAS
   *LOC DEV COMM GIK, 1999, ITDG96
   MAKOKHA M, 2004, COMPARISON SEED VOUC
   MCGUIRE S, 2000, TARGETED SEED AID SE
   MUGAH JO, 2002, STRENGTHENING EMERGE
   OMANGA P, 2002, STRENGTHENING EMERGE
   OMANGA P, 2004, CRS SEED VOUCHERS FA
   OTADOH JA, 2002, STRENGTHENING EMERGE
   POTTIER J, 1996, IDS B, V27
   REMINGTON T, 2004, CRS SEED VOUCHERS FA
   Sperling L, 2002, DISASTERS, V26, P329, DOI 10.1111/1467-7717.00210
   SPERLING L, 2001, TARGETED SEED AID SE
   WELTZIEN E, 2000, TARG SEED AID SEED S
NR 24
TC 15
Z9 18
U1 1
U2 8
PU INST DEVELOPMENT STUDIES
PI BRIGHTON
PA UNIV SUSSEX, BRIGHTON BN1 9RE, E SUSSEX, ENGLAND
SN 0265-5012
EI 1759-5436
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD OCT
PY 2005
VL 36
IS 4
BP 87
EP +
DI 10.1111/j.1759-5436.2005.tb00236.x
PG 17
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA 989QD
UT WOS:000233687900007
DA 2025-01-10
ER

PT J
AU Van Neste, SL
   D'Amours, AM
   Poulin, E
   Madénian, H
AF Van Neste, Sophie L.
   D'Amours, Anne-Marie
   Poulin, Etienne
   Madenian, Helene
TI Blinders of extreme heat adaptation: uneven urban development and the
   reproduction of vulnerabilities
SO LOCAL ENVIRONMENT
LA English
DT Article; Early Access
DE Extreme heat; planning; climate change adaptation; care; urban
   governance; equity
ID CLIMATE-CHANGE; POLITICS; POLICY; CARE; GEOGRAPHIES; GOVERNANCE;
   EVERYDAY; SCIENCE
AB Despite its deadly nature, extreme heat has received fragmented and scattered responses in cities, often overlooking the crucial social and equity components. Dominant adaptation approaches have paid little attention to chronic socio-economic vulnerabilities to heat stress, resulting in a lack of strategic planning to address them. Building upon critical urban studies and adaptation scholarship, this article examines how the dynamics of urban climate adaptation in the Global North have sidestepped the root causes of heat vulnerability and their (re)production in past, present and future practices of uneven urban development and planning under austerity. We investigate this empirically in attending to the framing of adaptation, the instruments used and the biases they introduce in Montreal (Canada), as well the perception from planners and community groups regarding their agency in responding to extreme heat. We contribute to the literature in analysing how the urban governance of adaptation in urban planning tends to silence the social production of vulnerabilities by three intersecting processes: the biases of instruments used, the unacknowledged legacies of uneven urban development, and the lacking recognition and support for community organisations caring practices.
C1 [Van Neste, Sophie L.; Madenian, Helene] INRS, Ctr Urbanisat Culture Soc, 385 Sherbrooke Est, Montreal, PQ H2X 1E3, Canada.
   [D'Amours, Anne-Marie] Paroles ExcluEs, Montreal, PQ, Canada.
   [Poulin, Etienne] Cegep Rimouski, Rimouski, PQ, Canada.
C3 University of Quebec; Institut national de la recherche scientifique
   (INRS)
RP Van Neste, SL (corresponding author), INRS, Ctr Urbanisat Culture Soc, 385 Sherbrooke Est, Montreal, PQ H2X 1E3, Canada.
EM sophiel.vanneste@inrs.ca
RI Madenian, Helene/KEJ-0117-2024; Van Neste, Sophie L./LTY-8356-2024
FU Social Sciences and Humanities Research Council; Ouranos (via the Quebec
   governement's Climate Change Action Plan); City of Montreal; Canada
   Research Chair program [551028, 950-232808]
FX This work was supported by Social Sciences and Humanities Research
   Council; Ouranos (via the Quebec governement's Climate Change Action
   Plan 2013-2020) and the City of Montreal; Canada Research Chair program:
   [Grant Number 551028, 950-232808].
CR Amorim-Maia AT, 2024, ENVIRON POLICY GOV, V34, P256, DOI 10.1002/eet.2075
   Angelo H, 2022, J PLAN EDUC RES, DOI 10.1177/0739456X211072527
   Anguelovski I, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31572-1
   [Anonymous], 2021, Heat and health in the WHO European Region: updated evidence for effective prevention
   Barnes J, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.868017
   Bee BA, 2015, GEOGR COMPASS, V9, P339, DOI 10.1111/gec3.12218
   Bikomeye JC, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18168420
   Bolitho A, 2017, LOCAL ENVIRON, V22, P682, DOI 10.1080/13549839.2016.1254169
   Bond S, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102734
   Bracke Sarah., 2016, VULNERABILITY RESIST, P52, DOI DOI 10.1215/9780822373490-004
   Bulkeley H, 2021, ENVIRON POLIT, V30, P266, DOI 10.1080/09644016.2021.1880713
   Burbidge M, 2022, LOCAL ENVIRON, V27, P160, DOI 10.1080/13549839.2021.2005007
   Burchell K, 2017, Urban heat: Developing the role of community groups in local climate resilience: Final Report of the Urban Heat Project
   Castn Broto Vanesa., 2021, The British Academy, DOI [https://doi.org/10.5871/bacop26/9780856726736.001, DOI 10.5871/BACOP26/9780856726736.001]
   Centraide du Grand Montreal, 2020, Analyse territoriale 2019-2020-Lachine
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   CIMA+, 2017, Etude Des Besoins en Transport-Secteur de L'echangeur Saint-Pierre et Ses Abords
   City of Montreal, 2020, Plan Climate 2020-2030
   City of Montreal, 2015, Plan d'adaptation aux changements climatiques de l'agglomeration de Montreal 2015-2020. Les mesures d'adaptation
   City of Montreal, Review of Evaluation de la vulnerabilite aux changements climatiques du reseau de drainage unitaire de Montreal, by Service de l'eau
   City of Montreal, 2018, Profil sociodemographique-Agglomeration de Montreal
   City of Montreal, 2017, Review of Plan d'adaptation aux changements climatiques de l'agglomeration de Montreal 2015-2020
   City of Montreal INRS Ouranos, 2011, Analyse economique et synthese de l'etude: Adaptation aux changements climatiques en matiere de drainage urbain au Quebec
   DAmours Anne-Marie, 2023, Changements climatiques, chaleur accablante et tempete parfaite: les pratiques communautaires de soutien et de soin (care) aux populations vulnerables a la chaleur a Montreal en contexte d'austerite
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Finewood MH, 2019, ANN AM ASSOC GEOGR, V109, P909, DOI 10.1080/24694452.2018.1507813
   Gabbe CJ, 2021, J PLAN EDUC RES, DOI 10.1177/0739456X211053654
   Gabbe CJ, 2020, HOUS POLICY DEBATE, V30, P843, DOI 10.1080/10511482.2020.1768574
   Goodling E, 2015, URBAN GEOGR, V36, P504, DOI 10.1080/02723638.2015.1010791
   GRAME le CASUAL and CRUISP, 2013, Memoire depose a la Commission sur les transports et les travaux publics
   Guardaro M, 2022, LOCAL ENVIRON, V27, P1133, DOI 10.1080/13549839.2022.2103654
   Guardaro M, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102886
   Hamstead ZA, 2023, PLAN THEORY PRACT, V24, P153, DOI 10.1080/14649357.2023.2201604
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   LaLone M.B., 2012, J APPL SOCIAL SCI, V6, P209, DOI DOI 10.1177/1936724412458483
   Lampis A, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.897424
   Lascoumes Pierrey., 2004, GOUVERNER INSTRUMENT
   Lawson V, 2007, ANN ASSOC AM GEOGR, V97, P1, DOI 10.1111/j.1467-8306.2007.00520.x
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   Lopes AM, 2018, HUM ECOL REV, V24, P41
   Madénian H, 2023, J URBAN AFF, DOI 10.1080/07352166.2023.2177550
   Madnian Hlne., Adapter Montral aux changements climatiques : des exprimentations de concertation
   Mailhot Alain., 2019, volution Des Rgimes de Prcipitations En Climat Futur Pour La Rgion de Montral
   Majoor SJH, 2018, PROG PLANN, V120, P1, DOI 10.1016/j.progress.2016.07.001
   Marvin S., 2018, Urban Living Labs: Experimenting with City Futures, V1st ed., DOI [https://doi.org/10.4324/9781315230641, DOI 10.4324/9781315230641]
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Meerow S, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102621
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Mees HLP, 2015, REG ENVIRON CHANGE, V15, P1065, DOI 10.1007/s10113-014-0681-1
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   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
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Oppermann E, 2018, WEATHER CLIM SOC, V10, P885, DOI 10.1175/WCAS-D-17-0084.1
   Ouranos, 2023, Portraits Climatiques
   Poitras Claire., 2004, tude Historique Du Dveloppement Urbain. Laxe Du Canal de Lachine Partie Lachine et LaSalle, P82
   Poulin Etienne, 2021, Action Communautaire et Changements Climatiques: Adaptation a La Chaleur Accablante
   Prtner H.-O., 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Revitalisation Saint-Pierre, 2018, Memoire: Enjeux et Problematiques Du Developpement Durable a Saint-Pierre
   Revitalisation Saint-Pierre, 2015, Portrait Du Quartier Saint-Pierre
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Rohat G, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02990-9
   Rueck Daniel., 2011, Metropolitan Natures: Environmental Histories of Montreal, P228
   Rumbach A, 2017, J URBAN AFF, V39, P783, DOI 10.1080/07352166.2017.1282771
   Shokry G, 2022, HOUS POLICY DEBATE, V32, P211, DOI 10.1080/10511482.2021.1944269
   Smedbol Chantal, 2021, La Presse
   Smith N., 2010, UNEVEN DEV NATURE CA
   Stern Rachel Naomi, 2023, ' We knew it was coming, we just didn't know what it would be like to live It': The extreme weather worlds of senior tenants in Vancouver, British Columbia, DOI [10.14288/1.0437201, DOI 10.14288/1.0437201]
   Susarla Vasantha., 2023, Assessing Canadian Municipal Climate Change Adaptation Plans: Investigating Equity Considerations in Adaptation Planning
   Teebken J, 2024, GLOBAL ENVIRON CHANG, V85, DOI 10.1016/j.gloenvcha.2024.102807
   Toso Tricia., 2020, Anthropocenes - Human, Inhuman, Posthuman, V1, P3, DOI [DOI 10.16997/AHIP.6, 10.16997/ahip.6]
   Turek-Hankins L.L., 2021, Oxford Open Climate Change, V1, pkgab005, DOI [10.1093/oxfclm/kgab005, DOI 10.1093/OXFCLM/KGAB005]
   Turner VK, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac73a9
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   Van Neste Sophie., 2021, L'adaptation aux changements climatiques dans le reamenagement d'un secteur urbain a Montreal: documentation du processus et experimentations en ateliers.
   Van Neste SL, 2024, URBAN GEOGR, DOI 10.1080/02723638.2024.2336852
   Westman L, 2022, AMBIO, V51, P1402, DOI 10.1007/s13280-021-01697-6
   Williams MJ, 2017, ANTIPODE, V49, P821, DOI 10.1111/anti.12279
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wilson B, 2019, J ENVIRON PLANN MAN, V62, P1065, DOI 10.1080/09640568.2018.1462475
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Wolf T, 2015, INT J ENV RES PUB HE, V12, P13321, DOI 10.3390/ijerph121013321
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zhang H, 2023, INNOVATION-AMSTERDAM, V4, DOI 10.1016/j.xinn.2023.100488
   Zografos C, 2016, URBAN CLIM, V17, P248, DOI 10.1016/j.uclim.2016.06.003
NR 91
TC 0
Z9 0
U1 3
U2 3
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PD 2024 OCT 17
PY 2024
DI 10.1080/13549839.2024.2413096
EA OCT 2024
PG 19
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA I8S9B
UT WOS:001332908800001
DA 2025-01-10
ER

PT J
AU Pelling, M
   Comelli, T
   Cordova, M
   Kalaycioglu, S
   Menoscal, J
   Upadhyaya, R
   Garschagen, M
AF Pelling, Mark
   Comelli, Thaisa
   Cordova, Marco
   Kalaycioglu, Sibel
   Menoscal, Jonathan
   Upadhyaya, Rachana
   Garschagen, Matthias
TI Normative future visioning for city resilience and development
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Normative future visioning; multi-stakeholder planning; climate change
   adaptation; transformation; inclusion; urban resilience; cities
ID CLIMATE ADAPTATION; URBAN VISIONS; SCENARIOS; CITIES; RISK
AB This paper argues for normative visioning as an underdeveloped component of adaptation planning. Multi-stakeholder and normative approaches to future visioning offer generative moments when creativity can meet the power to act required for critical, including transformative, adaptation. Including normative methods with community and city actors in adaptation planning allows for alternative narratives of development to arise as a basis for deeper conversation and potential action on the root causes of vulnerability and risk. A specific visioning approach is tested for four megacities - Istanbul, Kathmandu, Nairobi and Quito. Relations between current and future states of development and resilience are found to be both aligned (congruent or contingent) and in opposition (countervailing or constrained) shaping strategy for policy setting. These data are combined with additional work from London, Kolkata, New York and Lagos to pilot a City Resilience Challenge Index (CRCI), indicating to policy-makers whether and how cities are currently moving away from, rather than towards, envisioned trajectories of vulnerability reduction and adaptation. In the future, the CRCI might provide a global tool to track the progress of cities towards climate resilient development and, by doing so, to increase ambition and galvanize action.
C1 [Pelling, Mark; Comelli, Thaisa] UCL, Inst Risk & Disaster Reduct, Room 33,2nd Floor,South Wing, London, England.
   [Cordova, Marco; Menoscal, Jonathan] FLACSO Ecuador, Quito, Ecuador.
   [Kalaycioglu, Sibel] Middle East Tech Univ, Dept Sociol, Ankara, Turkiye.
   [Upadhyaya, Rachana] Southasia Inst Adv Studies, Kathmandu, Nepal.
   [Garschagen, Matthias] Ludwig Maximilians Univ Munchen, Dept Geog, Munich, Germany.
C3 University of London; University College London; FLACSO Ecuador; Middle
   East Technical University; University of Munich
RP Pelling, M (corresponding author), UCL, Inst Risk & Disaster Reduct, Room 33,2nd Floor,South Wing, London, England.
EM mark.pelling@ucl.ac.uk
FU UK Research and Innovation - Global Challenges Research Fund
   [NE/S009000/1]; Belmont Forum [G8MUREFU3FP-2201-075]
FX The research reported on in this paper was made possible through two
   research projects: Tomorrow's Cities, the Mult-Hazard Urban Risk
   Transitions Hub (NE/S009000/1), funded by UK Research and Innovation -
   Global Challenges Research Fund; and Transformation and Resilience of
   Urban Coasts (G8MUREFU3FP-2201-075), funded by the Belmont Forum and in
   the UK though the Natural Environment Research Council.
CR Ajibade I., 2016, J EXTREME EVENTS, V3
   Albrechts L, 2003, J AM PLANN ASSOC, V69, P113, DOI 10.1080/01944360308976301
   Albrechts L, 2015, ENVIRON PLANN B, V42, P510, DOI 10.1068/b130104p
   [Anonymous], 1987, Planning in the Public Domain: From Knowledge to Action
   [Anonymous], 2015, Planning and conflict
   Baibarac C, 2019, CODESIGN, V15, P91, DOI 10.1080/15710882.2017.1399145
   Ballard R, 2017, TRANSFORMATION, V95, P111, DOI 10.1353/trn.2017.0024
   Balug K, 2019, GEOFORUM, V102, P278, DOI 10.1016/j.geoforum.2017.08.014
   Bandola-Gill J, 2023, EVID POLICY, V19, P275, DOI 10.1332/174426421X16420955772641
   Bizikova L, 2011, CLIMATE CHANGE AND POLICY:THE CALCULABILITY OF CLIMATE CHANGE AND THE CHALLENGE OF UNCERTAINTY, P171, DOI 10.1007/978-3-642-17700-2_8
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Couclelis H, 2005, ENVIRON PLANN A, V37, P1353, DOI 10.1068/a3785
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Davis DE, 2011, J PLAN EDUC RES, V31, P241, DOI 10.1177/0739456X11404240
   Dixon T, 2018, LOCAL ECON, V33, P777, DOI 10.1177/0269094218800677
   Gaffikin F, 2006, PLAN THEORY PRACT, V7, P159, DOI 10.1080/14649350600673070
   Galasso C, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102158
   Garschagen M., IN PRESS
   Garschagen M., 2018, QUALITATIVE VULNERAB
   Garschagen M, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03209-7
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Glaas E, 2019, AMBIO, V48, P515, DOI 10.1007/s13280-018-1109-9
   Harrison P, 2006, URBAN STUD, V43, P319, DOI 10.1080/00420980500418368
   IPCC, 2022, Climate Change 2022: impacts, adaptation and
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103744
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   John B, 2015, CITIES, V48, P86, DOI 10.1016/j.cities.2015.06.001
   Legacy C, 2017, PLAN THEOR, V16, P425, DOI 10.1177/1473095216667433
   Lemp JD, 2008, J URBAN PLAN DEV, V134, P97, DOI 10.1061/(ASCE)0733-9488(2008)134:3(97)
   Lord S, 2016, FUTURES, V77, P11, DOI 10.1016/j.futures.2015.12.003
   Marx C, 2011, INT J URBAN REGIONAL, V35, P1012, DOI 10.1111/j.1468-2427.2010.01000.x
   McPhearson T, 2016, CURR OPIN ENV SUST, V22, P33, DOI 10.1016/j.cosust.2017.04.004
   Nalau J, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102527
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2016, J Extreme Events, V3, P1, DOI [DOI 10.1142/S2345737616500123, 10.1142/S2345737616500123]
   Pelling M., 2017, SPECIAL ISSUE EDITOR, V3, DOI [10.1142/S2345737616020036, DOI 10.1142/S2345737616020036]
   Pelling M, 2022, PROG HUM GEOG, V46, P121, DOI 10.1177/03091325211059569
   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]
   Ratcliffe J, 2011, FUTURES, V43, P642, DOI 10.1016/j.futures.2011.05.005
   Rigon A., 2021, Inclusive Urban Development in the Global South: Intersectionality, Inequalities, and Community
   Ringland G., 1998, SCENARIO PLANNING MA
   Robin E, 2021, INT J URBAN REGIONAL, V45, P869, DOI 10.1111/1468-2427.12981
   Robinson J, 2008, ENVIRON PLANN A, V40, P74, DOI 10.1068/a39127
   Rumbach A, 2017, J URBAN AFF, V39, P783, DOI 10.1080/07352166.2017.1282771
   Sandercock L., 1998, Making the invisible visible: A multicultural planning history, V2
   Scolobig A, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02066-7
   Sene Kevin., 2008, Flood warning, forecasting and emergency response
   Sheikh H, 2023, REG STUD, V57, P642, DOI 10.1080/00343404.2022.2045266
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Shipley R, 2002, ENVIRON PLANN A, V34, P7, DOI 10.1068/a3461
   Shipley R, 1999, ENVIRON PLANN B, V26, P573, DOI 10.1068/b260573
   Shipley R., 2004, Planning Practice and Research, V19, P195, DOI DOI 10.1080/0269745042000284412
   Shipley R, 2006, PLAN PRACT RES, V21, P223, DOI 10.1080/02697450600944715
   Shipley Robert., 2000, INT PLAN STUD, V5, P225, DOI [DOI 10.1080/13563470050020202, https://doi.org/10.1080/13563470050020202]
   Solecki W, 2017, ECOL SOC, V22, DOI 10.5751/ES-09102-220238
   Solecki William., 2016, Journal of Extreme Events, V3, P1650020, DOI DOI 10.1142/S2345737616500202
   UN-Habitat, 2021, Global Environment for Cities-GEO for Cities: Towards Green and Just Cities
   UN-Habitat, 2012, VIS PART PLANN TOOL
   UNDP (United Nations Development Programme), 2022, Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World
   Uwasu M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114746
   Uyesugi JL, 2005, INT PLAN STUD, V10, P305, DOI 10.1080/13563470500378895
   Van der Heijden K., 1996, SCENARIOS ART STRATE
   van Vliet M, 2015, MITIG ADAPT STRAT GL, V20, P43, DOI 10.1007/s11027-013-9479-6
   Wamsler C, 2006, DISASTERS, V30, P151, DOI 10.1111/j.0361-3666.2006.00313.x
   Watson V., 2003, PLANNING THEORY PRAC, V4, P395, DOI DOI 10.1080/1464935032000146318
   Watson V, 2016, PLAN THEORY PRACT, V17, P663, DOI 10.1080/14649357.2016.1230364
   Watson V, 2014, ENVIRON URBAN, V26, P215, DOI 10.1177/0956247813513705
   Watson V, 2013, PLAN THEOR, V12, P81, DOI 10.1177/1473095212446301
   Werners SE, 2021, ENVIRON SCI POLICY, V126, P168, DOI 10.1016/j.envsci.2021.09.017
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 72
TC 9
Z9 9
U1 5
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD APR 20
PY 2024
VL 16
IS 4
BP 335
EP 348
DI 10.1080/17565529.2023.2223564
EA JUN 2023
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA PU0B8
UT WOS:001017536600001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Tang, ZH
   Wei, T
   Quinn, C
   Zhao, N
AF Tang, Zhenghong
   Wei, Ting
   Quinn, Courtney
   Zhao, Nan
TI Surveying local planning directors' actions for climate change
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE United States of America; Climate change; Community planning; Land;
   Mitigation; Adaptation; Planning
ID SUSTAINABLE DEVELOPMENT; ADAPTATION; ENVIRONMENT; MANAGEMENT; POLICY;
   SCALE; RISK
AB Purpose - The purpose of this paper is to examine how well local planners have recognized the issues surrounding climate change, the analysis that jurisdictions have conducted on climate change, and policies that have been implemented to address climate change.
   Design/methodology/approach - This study. conducted a mail questionnaire survey for 214 counties' planning directors in the USA and received 53 effective responses. This survey examined how well local planning directors have been prepared for climate change, including awareness, analysis scope, and implementation strategy.
   Findings - The descriptive results indicate that the directors who responded to this survey had a relatively high (79.87 percent) level of awareness for climate change; but they had limited (34.94 percent) analysis scopes to assess the sources, impacts, and risk of climate change in their jurisdictions. These directors had partially but not fully (51.51 percent) developed local land use planning implementation strategies to mitigate or adapt climate change. The regression model indicates that the political commitment and planning personnel resources have significant influence on local planning directors' actions for climate change.
   Originality/value - This paper provides policy implications to improve local land use planning ability for climate change mitigation and adaptation.
C1 [Tang, Zhenghong; Wei, Ting; Zhao, Nan] Univ Nebraska Lincoln, Landscape Architecture Community & Reg Planning P, Coll Architecture, Lincoln, NE USA.
   [Quinn, Courtney] Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE USA.
C3 University of Nebraska System; University of Nebraska Lincoln;
   University of Nebraska System; University of Nebraska Lincoln
RP Tang, ZH (corresponding author), Univ Nebraska Lincoln, Landscape Architecture Community & Reg Planning P, Coll Architecture, Lincoln, NE USA.
EM ztang2@unl.edu
RI Quinn, Courtney/AAA-4430-2020
CR American Planning Association, 2008, POL GUID PLANN CLIM
   Andrews C, 2008, J PLAN EDUC RES, V28, P6, DOI 10.1177/0739456X08321800
   Angel D., 1998, Local Environment, V3, P263, DOI DOI 10.1080/13549839808725565
   [Anonymous], 2007, Urban Fortunes: The Political Economy of Place
   Bai XM, 2007, J IND ECOL, V11, P15, DOI 10.1162/jie.2007.1202
   Betsill M., 2001, LOCAL ENVIRON, V6, P393
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Betsill MicheleM., 2000, Localizing Global Climate Change: Greenhouse Gas Emissions in US Cities
   Bizikova L, 2007, CLIM POLICY, V7, P271, DOI 10.1080/14693062.2007.9685655
   Brody SD, 2008, LANDSCAPE URBAN PLAN, V87, P33, DOI 10.1016/j.landurbplan.2008.04.003
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Burton I, 2007, CLIM POLICY, V7, P371, DOI 10.1080/14693062.2007.9685662
   *CA AIR RES BOARD, 2008, DRAFT LOC GOV OP PRO
   Deangelo B., 1998, Local Environment, V3, P111, DOI [DOI 10.1080/13549839808725553, 10.1080/13549839808725553]
   Hartmann DL, 2000, P NATL ACAD SCI USA, V97, P1412, DOI 10.1073/pnas.97.4.1412
   IPCC, 2007, IPCC GLOSS WORK GROU, P809
   Kates RW, 2003, ENVIRONMENT, V45, P12, DOI 10.1080/00139150309604534
   LINDELL MK, 1995, RISK ANAL, V15, P439, DOI 10.1111/j.1539-6924.1995.tb00336.x
   Lindley SJ, 2006, J RISK RES, V9, P543, DOI 10.1080/13669870600798020
   Lindseth G., 2004, Local Environ, V9, P325, DOI DOI 10.1080/1354983042000246252
   Lutsey N, 2008, ENERG POLICY, V36, P673, DOI 10.1016/j.enpol.2007.10.018
   Mayors Climate Protection Center, 2007, Climate Protection Strategies and Best Practices Guide2007 Mayors Climate Protection Summit Edition
   Metz B, 2002, CLIM POLICY, V2, P211, DOI 10.1016/S1469-3062(02)00037-2
   Mollenkopf John., 2005, Contentious City: The Politics of Recovery in New York City
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Newman P., 1998, LOCAL ENVIRON, V3, P299
   Qi Ye Qi Ye, 2008, Journal of Environment & Development, V17, P379, DOI 10.1177/1070496508326123
   Swart R, 2003, CLIM POLICY, V3, pS19, DOI 10.1016/j.clipol.2003.10.010
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Tang Z., 2010, Journal of Environmental Planning and Management, V53, P43
   Tang ZH, 2009, INT J CLIM CHANG STR, V1, P368, DOI 10.1108/17568690911002898
   Tol RSJ, 2004, GLOBAL ENVIRON CHANG, V14, P259, DOI 10.1016/j.gloenvcha.2004.04.007
   Tompkins EL, 2004, ECOL SOC, V9
   Verma N, 1996, J PLAN EDUC RES, V16, P5, DOI 10.1177/0739456X9601600102
   Wang XD, 1999, ENVIRON SCI TECHNOL, V33, P3056, DOI 10.1021/es981360d
   Wheeler S, 2008, J AM PLANN ASSOC, V74, P481, DOI 10.1080/01944360802377973
   Wilbanks TJ, 2003, CLIM POLICY, V3, pS147, DOI 10.1016/j.clipol.2003.10.013
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Wiseman J, 2010, INT J CLIM CHANG STR, V2, P134, DOI 10.1108/17568691011040399
   Yarnal B., 2003, Local Environ, V8, P457, DOI DOI 10.1080/13549830306668
NR 40
TC 8
Z9 13
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 2012
VL 4
IS 1
BP 81
EP 103
DI 10.1108/17568691211200236
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 916NY
UT WOS:000302111700006
DA 2025-01-10
ER

PT J
AU Gaborit, P
AF Gaborit, Pascaline
TI Climate adaptation to Multi-Hazard climate related risks in ten
   Indonesian Cities: Ambitions and challenges
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate Adaptation; Cities; Local Coping Strategies; Urban Resilience;
   Disaster Preparedness; Decentralization; Adaptive Planning; Social
   Impacts
AB Indonesian coastal cities are faced with a double imperative to urbanize quickly and to adapt to climate-related disasters. These disasters include droughts, storms, regular floods, tidal waves, and water pollution. This article investigates how ten small- and medium-sized coastal cities in Indonesia are developing resilience strategies to cope with disaster risks. It approaches their level of exposure, the current impacts of climate change, and the existing, local resilience strategies or response. It identifies key discussion points related to the implementation and the feasibility of these strategies. We argue in this article that the priorities are severalfold, and that local governments are increasingly faced with trade-offs when selecting specific interventions and neighborhoods or districts to prioritize to the detriment of others. The current coping strategies seem insufficient to reduce, respond to, and recover from climate-related impacts as well as address the question of vulnerabilities. The population in the coastal areas and in informal settlements, mainly the poor population, is more directly exposed to these climate-related hazards. The local research highlights the difficulties of multi-stakeholder cooperation, the inevitable trade-offs or difficult choices, and the lack of adequate instruments in climate adaptation. Finally, this article calls for more specific timely research on climate adaptation in cities.
C1 [Gaborit, Pascaline] Pilot4dev, Rue La Loyaute, B-1090 Brussels, Belgium.
RP Gaborit, P (corresponding author), Pilot4dev, Rue La Loyaute, B-1090 Brussels, Belgium.
EM pascaline.gaborit@pilot4dev.com
OI Gaborit, Pascaline/0000-0002-3447-1033
CR Afrizal B.W., 2020, REV ESSAY BIJDRAGEN, V176, P561
   Agashe Y, 2020, INTERNAL REPORT
   Akbar A.F., 2015, OCCASIONAL PAPER CIF
   Amri M., 2020, JAMALIANURI RISANTI
   Amri M., 2020, URBAN ANAL REPORT SA
   [Anonymous], 1995, IPCC 2 ASSESSMENT CL
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Baztan J, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100253
   Buchner Barbara., 2012, LANDSCAPE CLIMATE FI
   Chan S, 2019, INT ENVIRON AGREEM-P, V19, P429, DOI 10.1007/s10784-019-09444-9
   Dillon H., 2020, URBAN ANAL REPORT GO
   Dillon H., 2020, URBAN ANAL REPORT TE
   Djalante R, 2017, DISAST RISK REDUCT, P1, DOI 10.1007/978-3-319-54466-3
   Dwitama P., 2021, POLICY BRIEF
   el Anshori Tirtariandi, ADV SOCIAL SCI ED HU, V389
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Funtowicz S, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2020.100212
   Gaborit P, 2020, POLICY BRIEFS 10 PIL
   Gaborit P., 2015, EUROPEAN ASIAN SUSTA
   Gaborit P., 2021, LEARNING RESILIENCE
   Glasser R, 2020, INT J DISAST RISK SC, V11, P152, DOI 10.1007/s13753-020-00248-z
   Grafakos S, 2019, CLIMATIC CHANGE, V154, P87, DOI 10.1007/s10584-019-02394-w
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Intergovernmental Panel of Climate Change (IPCC), 2021, SUMM POL MAK 6 ASS R
   Klein R J., 2017, Advancing climate adaptation practices and solutions: emerging research priorities
   Koch L, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102317
   Lassa J. A., 2013, Int. J. Mass Emergencies Disasters, V31, P130, DOI 10.1177/028072701303100202
   Leitmann J, 2007, J URBAN HEALTH, V84, pI144, DOI 10.1007/s11524-007-9182-6
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Mulkhan U., 2020, URBAN ANAL REPORT PA
   Mulyana W., 2020, URBAN ANAL REPORT MA
   Mulyana W., 2020, URBAN ANAL REPORT PE
   Nagu N., 2016, 1 INT C S A STUD, P424
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Oleson KW, 2015, CLIMATIC CHANGE, V129, P525, DOI 10.1007/s10584-013-0936-8
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Perwaiz A., 2020, STAT REP
   Prayitno B, 2017, SHS WEB C, V41
   Priyadi H., 2020, URBAN ANAL REPORT BA
   Priyadi H., 2020, URBAN ANAL REPORT CI
   Rahayu P., 2016, GOVERNANCE SMALL CIT
   Raven J, 2011, LOCAL SUSTAIN, V1, P451, DOI 10.1007/978-94-007-0785-6_45
   Resosudarmo B., 2012, TECHNICAL REPORT
   Ridwansyah M., URBAN ANAL REPORTKUP
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Russill C, 2008, ENVIRON COMMUN, V2, P133, DOI 10.1080/17524030802141711
   de Murieta ES, 2021, CITIES, V109, DOI 10.1016/j.cities.2020.103018
   Salim W, 2020, ADV 21ST CENT HUMAN, P163, DOI 10.1007/978-981-13-6709-0_6
   Simpson N.P, 2021, FRAMEWORK COMPLEX CL, DOI [10.1016/j.oneear.2021.03.005, DOI 10.1016/J.ONEEAR.2021.03.005]
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tall A., ENABLING FINANCE CLI
   UNISDR, DISAS MANAGE
   Unisdr, 2004, LIVING RISK GLOBAL R, V2
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vij S, 2017, ENVIRON SCI POLICY, V78, P58, DOI 10.1016/j.envsci.2017.09.007
   Von Korff Y., 2019, IMPLEMENTING PARTICI
   Wijaya N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020750
   Wirawan B., 2019, SPATIAL PLANNING LAN
   Wollenberg E, 2009, ECOL SOC, V14
   Youssef Diab, 2020, RESILIENCE EARLY WAR
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 62
TC 8
Z9 8
U1 1
U2 20
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 37
AR 100453
DI 10.1016/j.crm.2022.100453
EA AUG 2022
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 6M9XL
UT WOS:000889215400008
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ward, FA
AF Ward, Frank A.
TI Water valuation for economic development and climate planning
SO INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
LA English
DT Article
DE Water valuation; economic development; climate planning
ID INTERNATIONAL-TRADE; IRRIGATION WATER; MONOPOLISTIC COMPETITION;
   TECHNICAL EFFICIENCY; ECOSYSTEM SERVICES; AGRICULTURAL WATER; MODELS;
   OPTIMIZATION; GROUNDWATER; MANAGEMENT
AB This paper presents a multisector framework for solving the inverse problem from which results are applied to find marginal values of water under historical and counterfactual conditions. It infers from observed data on water use and production the parameters of an underlying multicommodity production function system. From the recovered production function parameters, marginal values of water are calculated over a range of hydrological and economic conditions. This work can inform policy debates over competing proposals for climate change adaptation based on identifying marginal values of water for irrigated agriculture over a range of existing and potential conditions.
C1 [Ward, Frank A.] New Mexico State Univ, Agr Econ & Agr Business, Las Cruces, NM 88003 USA.
C3 New Mexico State University
RP Ward, FA (corresponding author), New Mexico State Univ, Agr Econ & Agr Business, Las Cruces, NM 88003 USA.
EM fward@nmsu.edu
FU Agricultural Experiment Station, New Mexico State University [2024-A1]
FX This work was supported by the Agricultural Experiment Station, New
   Mexico State University [2024-A1].
CR Al Jayyousi O, 2007, INT J WATER RESOUR D, V23, P329, DOI 10.1080/07900620601182943
   Alcon F, 2014, ENVIRON SCI POLICY, V44, P226, DOI 10.1016/j.envsci.2014.08.012
   Aldaya MM, 2023, AGR WATER MANAGE, V281, DOI 10.1016/j.agwat.2023.108245
   [Anonymous], 2022, CropScape - Cropland Data Layer
   Arsad R, 2022, INT J ADV APPL SCI, V9, P1, DOI 10.21833/ijaas.2022.12.001
   Aryal K, 2023, J CLEAN PROD, V423, DOI 10.1016/j.jclepro.2023.138725
   Avci D, 2010, ECOL ECON, V70, P228, DOI 10.1016/j.ecolecon.2010.05.009
   Baccour S, 2022, SCI TOTAL ENVIRON, V835, DOI 10.1016/j.scitotenv.2022.155518
   Bangian-Tabrizi A, 2022, INT J HEAT MASS TRAN, V189, DOI 10.1016/j.ijheatmasstransfer.2022.122721
   Baumgärtner S, 2010, ECOL ECON, V69, P445, DOI 10.1016/j.ecolecon.2009.11.019
   Becker N, 2019, INT J WATER RESOUR D, V35, P871, DOI 10.1080/07900627.2018.1501349
   Behrens K, 2007, J ECON THEORY, V136, P776, DOI 10.1016/j.jet.2006.10.001
   Biagini L, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142316098
   Böhringer C, 2006, ENERG J, P135
   BORTS GH, 1960, AM ECON REV, V50, P319
   Brennan D, 2007, AUST J AGR RESOUR EC, V51, P243, DOI 10.1111/j.1467-8489.2007.00395.x
   Cai XM, 2003, WATER RESOUR RES, V39, DOI 10.1029/2001WR000748
   Carleton T, 2022, Q J ECON, V137, P2037, DOI 10.1093/qje/qjac020
   Casey G, 2024, REV ECON STUD, V91, P192, DOI 10.1093/restud/rdad001
   Censor Y, 2022, IEEE T RADIAT PLASMA, V6, P313, DOI 10.1109/TRPMS.2021.3107322
   Christian JI, 2024, WIRES WATER, V11, DOI 10.1002/wat2.1714
   Crespo D, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0267439
   Dagar V, 2021, J CLEAN PROD, V315, DOI 10.1016/j.jclepro.2021.128109
   Dagnino M, 2012, INT J WATER RESOUR D, V28, P577, DOI 10.1080/07900627.2012.665801
   Daraio C, 2007, J PROD ANAL, V28, P13, DOI 10.1007/s11123-007-0049-3
   Davijani MH, 2016, WATER RESOUR MANAG, V30, P927, DOI 10.1007/s11269-015-1200-y
   De Mouche L, 2011, INT J WATER RESOUR D, V27, P291, DOI 10.1080/07900627.2011.571041
   Deng L, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-04825-w
   Dilekli N, 2024, ECON SYST RES, V36, P46, DOI 10.1080/09535314.2023.2272213
   Dong YX, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111380
   Duan J, 2023, ENERGIES, V16, DOI 10.3390/en16031234
   Duffy J, 2000, J ECON GROWTH, V5, P87, DOI 10.1023/A:1009830421147
   Ela-Medja TO, 2023, MATHEMATICS-BASEL, V11, DOI 10.3390/math11010241
   Espinosa M, 2020, APPL ECON PERSPECT P, V42, P695, DOI 10.1093/aepp/ppz021
   Fathelrahman E, 2014, AGRICULTURE-BASEL, V4, P288, DOI 10.3390/agriculture4040288
   García IF, 2014, AGR SYST, V131, P56, DOI 10.1016/j.agsy.2014.08.002
   Frisvold GB, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011057
   Gizaw N, 2022, COGENT ECON FINANC, V10, DOI 10.1080/23322039.2022.2041260
   Gómez-Limón JA, 2021, AGR WATER MANAGE, V257, DOI 10.1016/j.agwat.2021.107145
   Gómez-Limón JA, 2022, INT J WATER RESOUR D, V38, P1089, DOI 10.1080/07900627.2021.1949699
   Gornott C, 2016, AGR FOREST METEOROL, V217, P89, DOI 10.1016/j.agrformet.2015.10.005
   Guilfoos T, 2013, ECOL ECON, V95, P31, DOI 10.1016/j.ecolecon.2013.07.013
   Haas L, 2023, MANCH SCH, V91, P521, DOI 10.1111/manc.12458
   Habteyes BG, 2020, J ENVIRON MANAGE, V258, DOI 10.1016/j.jenvman.2019.110040
   Hardy L, 2012, INT J WATER RESOUR D, V28, P151, DOI 10.1080/07900627.2012.642240
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   Heckelei T, 2003, EUR REV AGRIC ECON, V30, P27, DOI 10.1093/erae/30.1.27
   Herrendorf B, 2015, AM ECON J-MACROECON, V7, P104, DOI 10.1257/mac.20130041
   Herrera PA, 2004, INT J WATER RESOUR D, V20, P537, DOI 10.1080/07900620412331319171
   HOWITT RE, 1995, AM J AGR ECON, V77, P329, DOI 10.2307/1243543
   Howitt RE, 2012, ENVIRON MODELL SOFTW, V38, P244, DOI 10.1016/j.envsoft.2012.06.013
   Hu YY, 2023, STATA J, V23, P86, DOI 10.1177/1536867X231161977
   Huang H, 2012, IEEE T SIGNAL PROCES, V60, P2552, DOI 10.1109/TSP.2012.2187284
   Josic H, 2023, EUR J COMP ECON, V20, P193, DOI 10.25428/1824-2979/022
   Kaczmarczyk P, 2023, INT J POLIT ECON, V52, P70, DOI 10.1080/08911916.2023.2186054
   Kahsay TN, 2015, WATER RESOUR ECON, V10, P14, DOI 10.1016/j.wre.2015.02.003
   Kang CS, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101072
   KEMP MC, 1966, AM ECON REV, V56, P788
   KEMP MC, 1979, INT ECON REV, V20, P671, DOI 10.2307/2526265
   KENEN PB, 1965, J POLIT ECON, V73, P437, DOI 10.1086/259069
   Khan NA, 2023, CLIM DEV, V15, P639, DOI 10.1080/17565529.2022.2143232
   Kitanidis PK, 2015, WATER RESOUR RES, V51, P5888, DOI 10.1002/2015WR017639
   Koetse MJ, 2008, ENERG ECON, V30, P2236, DOI 10.1016/j.eneco.2007.06.006
   Köse C, 2023, DRVNA IND, V74, P277, DOI 10.5552/drvind.2023.0058
   Kumar S, 2023, ASIA-PAC J REG SCI, V7, P521, DOI 10.1007/s41685-023-00291-w
   LaFevor MC, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111835
   Laskookalayeh SS, 2022, J CLEAN PROD, V351, DOI 10.1016/j.jclepro.2022.131277
   Lei L, 2016, IEEE T VEH TECHNOL, V65, P3491, DOI 10.1109/TVT.2015.2444791
   Llopis-Albert C, 2014, J HYDROL, V511, P10, DOI 10.1016/j.jhydrol.2014.01.021
   Louhichi K, 2024, J AGR ECON, V75, P716, DOI 10.1111/1477-9552.12581
   Lu SB, 2019, TECHNOL FORECAST SOC, V143, P76, DOI 10.1016/j.techfore.2019.01.015
   Lukac Z, 2023, CENT EUR J OPER RES, V31, P891, DOI 10.1007/s10100-022-00832-2
   Ma SJ, 2023, SCI TOTAL ENVIRON, V863, DOI 10.1016/j.scitotenv.2022.160994
   MAGEE SP, 1971, Q J ECON, V85, P623, DOI 10.2307/1882271
   Marcet A, 2019, ECONOMETRICA, V87, P1589, DOI 10.3982/ECTA9902
   Masanjala WH, 2004, J APPL ECONOMET, V19, P171, DOI 10.1002/jae.722
   Mata MN, 2023, ECONOMIES, V11, DOI 10.3390/economies11030078
   Medellín-Azuara J, 2010, SCI TOTAL ENVIRON, V408, P5639, DOI 10.1016/j.scitotenv.2009.08.013
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Minford P, 2023, J INT MONEY FINANC, V138, DOI 10.1016/j.jimonfin.2023.102940
   Mivumbi M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054101
   Mobtaker HG, 2012, INT J RENEW ENERGY R, V2, P112
   Mobtaker HG, 2012, ENERGY SUSTAIN DEV, V16, P84, DOI 10.1016/j.esd.2011.10.009
   Molden D, 2010, AGR WATER MANAGE, V97, P528, DOI 10.1016/j.agwat.2009.03.023
   Mu L, 2024, WATER RESOUR MANAG, V38, P1061, DOI 10.1007/s11269-023-03709-4
   MUNDELL RA, 1957, AM ECON REV, V47, P321
   Nakamura E, 2010, REV ECON STUD, V77, P1192, DOI 10.1111/j.1467-937X.2009.00589.x
   Nakashima T, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010621
   New Mexico State University, 2022, CROP ENTERPRISE COST
   Nicholson W., 2017, Microeconomic theory: Basic principles and extensions, V12th
   Nielsen DC, 2011, FIELD CROP RES, V120, P254, DOI 10.1016/j.fcr.2010.10.011
   Nordhaus W, 2015, AM ECON REV, V105, P1339, DOI 10.1257/aer.15000001
   Nordhaus WD, 2017, P NATL ACAD SCI USA, V114, P1518, DOI 10.1073/pnas.1609244114
   O'Brien DM, 2001, APPL ENG AGRIC, V17, P315
   OSTER JD, 1994, AGR WATER MANAGE, V25, P271, DOI 10.1016/0378-3774(94)90064-7
   Paris Q, 1998, AM J AGR ECON, V80, P124, DOI 10.2307/3180275
   Petpongpan C, 2021, CATENA, V204, DOI 10.1016/j.catena.2021.105402
   Piri H, 2022, J HORTIC SCI BIOTECH, V97, P122, DOI 10.1080/14620316.2021.1966322
   Pulido-Velázquez M, 2006, J WATER RES PLAN MAN, V132, P454, DOI 10.1061/(ASCE)0733-9496(2006)132:6(454)
   Quintana-Ashwell N, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11112204
   Rachlin H, 2006, J EXP ANAL BEHAV, V85, P425, DOI 10.1901/jeab.2006.85-05
   Rajpurohit B, 2023, J FUTURE FOODS, V3, P340, DOI 10.1016/j.jfutfo.2023.03.005
   Rao PM, 2023, TELECOMMUN POLICY, V47, DOI 10.1016/j.telpol.2023.102507
   Rashki P, 2022, AGR WATER MANAGE, V271, DOI 10.1016/j.agwat.2022.107788
   Revollo-Fernández DA, 2020, WATER RESOUR ECON, V30, DOI 10.1016/j.wre.2019.01.004
   Reyes-Sánchez LB, 2024, SPAN J SOIL SCI, V13, DOI 10.3389/sjss.2023.12208
   Robinson J, 1934, ECON J, V44, P398, DOI 10.2307/2225401
   Rodríguez-Flores JM, 2022, WATER RESOUR MANAG, V36, P6115, DOI 10.1007/s11269-022-03344-5
   Rybczynski TM, 1955, ECONOMICA-NEW SER, V22, P336, DOI 10.2307/2551188
   Saka KA, 2023, QUANT FINANC ECON, V7, P74, DOI 10.3934/QFE.2023004
   Shapiro JS, 2021, Q J ECON, V136, P831, DOI 10.1093/qje/qjaa042
   Smilovic M, 2016, ADV WATER RESOUR, V97, P193, DOI 10.1016/j.advwatres.2016.09.010
   Stevens RM, 2016, AUST J GRAPE WINE R, V22, P124, DOI 10.1111/ajgw.12163
   Sun NZ, 1998, WATER RESOUR RES, V34, P2561, DOI 10.1029/98WR01860
   Tallis H, 2009, ANN NY ACAD SCI, V1162, P265, DOI 10.1111/j.1749-6632.2009.04152.x
   Temirbekov N, 2022, COGENT ENG, V9, DOI 10.1080/23311916.2021.2003522
   Thaler SM, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13158585
   Thiam A, 2001, AGR ECON-BLACKWELL, V25, P235, DOI 10.1111/j.1574-0862.2001.tb00204.x
   Tieng QM, 2021, J PHYS COMMUN, V5, DOI 10.1088/2399-6528/abebcf
   Tsai TM, 2022, MATH METHOD APPL SCI, V45, P9635, DOI 10.1002/mma.8327
   Valle-García A, 2024, WATER RESOUR MANAG, V38, P4287, DOI 10.1007/s11269-024-03865-1
   Van Cauwenbergh N, 2007, AGR ECOSYST ENVIRON, V120, P229, DOI 10.1016/j.agee.2006.09.006
   van Leeuwen B, 2024, ITAL ECON J, V10, P43, DOI 10.1007/s40797-023-00221-x
   Vásquez-Lavín F, 2020, WATER RESOUR ECON, V32, DOI 10.1016/j.wre.2020.100159
   Wang J, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2023.100484
   Wang SP, 2024, J CLEAN PROD, V438, DOI 10.1016/j.jclepro.2024.140762
   Ward FA, 2012, WATER RESOUR MANAG, V26, P2883, DOI 10.1007/s11269-012-0055-8
   Ward FA, 2010, INT J WATER RESOUR D, V26, P321, DOI 10.1080/07900627.2010.489308
   Wichelns D, 2014, WATER-SUI, V6, P778, DOI 10.3390/w6040778
   Widmer J, 2024, RENEW SUST ENERG REV, V192, DOI 10.1016/j.rser.2023.114277
   Wolf A, 2016, P NATL ACAD SCI USA, V113, pE7222, DOI 10.1073/pnas.1615144113
   Wong CP, 2015, ECOL LETT, V18, P108, DOI 10.1111/ele.12389
   Yang J, 2024, J GEOGR SCI, V34, P203, DOI 10.1007/s11442-024-2202-6
   Yedra H, 2016, INT J WATER RESOUR D, V32, P931, DOI 10.1080/07900627.2015.1133404
   You LZ, 2009, AGR FOREST METEOROL, V149, P1009, DOI 10.1016/j.agrformet.2008.12.004
   YOUNG RA, 1985, WATER RESOUR RES, V21, P1819, DOI 10.1029/WR021i012p01819
   Young RobertA., 2005, DETERMINING EC VALUE
   Zeng YL, 2022, COMPUT IND ENG, V168, DOI 10.1016/j.cie.2022.108074
   Zhang HP, 1999, AGR WATER MANAGE, V38, P195, DOI 10.1016/S0378-3774(98)00069-9
   Zhang W, 2007, ECOL ECON, V64, P253, DOI 10.1016/j.ecolecon.2007.02.024
   Zhelobodko E, 2012, ECONOMETRICA, V80, P2765, DOI 10.3982/ECTA9986
   Ziolkowska JR, 2018, INT J WATER RESOUR D, V34, P944, DOI 10.1080/07900627.2017.1353410
NR 142
TC 0
Z9 0
U1 3
U2 3
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0790-0627
EI 1360-0648
J9 INT J WATER RESOUR D
JI Int. J. Water Resour. Dev.
PD NOV 1
PY 2024
VL 40
IS 6
BP 940
EP 966
DI 10.1080/07900627.2024.2421975
EA NOV 2024
PG 27
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA N4Z1Y
UT WOS:001360381300001
DA 2025-01-10
ER

PT J
AU Philp, G
   Cohen, A
AF Philp, George
   Cohen, Alice
TI Municipal climate change adaptation and mitigation: from planning to
   action in Nova Scotia
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE municipal; climate change; implementation; Nova Scotia; planning
ID BRITISH-COLUMBIA; GOVERNMENT; BARRIERS; POLICY; PLANS
AB Jurisdictions around the globe are working to address climate change and many municipalities are seeking to protect their communities from its impacts. Although nearly half the world's population resides in rural areas, most municipal climate change planning literature focuses on urban municipalities. To that end, this paper analyzes the public policy process of Nova Scotia, Canada's rural Municipal Climate Change Action Planning mandate. Through an analysis of the plans and follow-up interviews with municipal planners, we examine the conditions that sustain local climate planning and what municipalities gleaned from this climate planning process.
C1 [Philp, George] Acadia Univ, Environm & Sustainabil Studies, Wolfville, NS, Canada.
   [Cohen, Alice] Acadia Univ, Earth & Environm Sci, Wolfville, NS, Canada.
C3 Acadia University; Acadia University
RP Cohen, A (corresponding author), Acadia Univ, Earth & Environm Sci, Wolfville, NS, Canada.
EM alice.cohen@acadiau.ca
FU Acadia University under the Burnham Fund for Environmental Studies
FX This work was supported by Acadia University under the Burnham Fund for
   Environmental Studies.
CR [Anonymous], 2013, POP URB RUR PROV TER
   [Anonymous], 2015, MUN CLIM CHANG ACT P
   [Anonymous], 2014, World's population increasingly urban with more than half living in urban areas
   [Anonymous], 2013, Journal of International and Comparative Social Policy, DOI DOI 10.1080/21699763.2013.852128
   [Anonymous], HURRICANE JUAN STORM
   Barber BenjaminR., 2013, MAYORS RULED WORLD D
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bulkeley H., 2009, PLANNING CLIMATE CHA, P284
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Caruana NJ, 2015, CAN J POLIT SCI, V48, P771, DOI 10.1017/S0008423914000882
   Cohn D., 2013, LOCAL BLACKOUT EFFEC
   Doelle M., 2018, J ENV LAW PRACTICE, V31, P293
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Federation of Canadian Municipalities, 2009, ACT LOC MUN ROL FIGH
   Fisher G, 2011, MUNICIPAL CLIMATE CH
   Gibson R., 2015, State of Rural Canada Report - Chapter 2.9: Nova Scotia
   Gore CD, 2010, REV POLICY RES, V27, P27, DOI 10.1111/j.1541-1338.2009.00425.x
   Guyadeen D, 2019, CLIMATIC CHANGE, V152, P121, DOI 10.1007/s10584-018-2312-1
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hlahla S, 2019, J ENVIRON PLANN MAN, V62, P1089, DOI 10.1080/09640568.2018.1466693
   Howard C, 2001, AUST J PUBL ADMIN, V60, P56, DOI 10.1111/1467-8500.00224
   Irish D., 2015, NOVA SCOTIA URGED DE
   Ivany R., 2014, NOW NEVER URGENT CAL
   Jelier R., 2015, PUBLIC ADMIN REV, V76, P7, DOI [10.1111/PUAR.12496, DOI 10.1111/puar.12496]
   Kasa S, 2012, J ENVIRON PLANN MAN, V55, P211, DOI 10.1080/09640568.2011.589649
   Katz B, 2013, METROPOLITAN REVOLUTION: HOW CITIES AND METROS ARE FIXING OUR BROKEN POLITICS AND FRAGILE ECONOMY, P1
   Kearney R., 1998, REV PUBLIC PERS ADM, V18, P38, DOI DOI 10.1177/0734371X9801800404
   Klaudt Dustin W., 2018, J Envtl L Prac, V31, P185
   Li CS, 2016, J ENVIRON PLANN MAN, V59, P1679, DOI 10.1080/09640568.2015.1085840
   MacDonald D, 2010, LABOUR-TRAVAIL, P257
   Milligan P., 2018, CBC NEWS NOVA S 0626
   Milner H, 1997, CAN J POLIT SCI, V30, P89, DOI 10.1017/S0008423900014943
   Nova Scotia, 2014, TAK ACT CLIM CHANG
   Nova Scotia, 2012, MUN CLIM CHANG ACT P
   Nova Scotia, 2009, OUR COAST 2009 STAT
   Nova Scotia, 2006, ENH DIG EL MOD NOV S
   Nova Scotia, 2014, WHAT NS IS DOING
   Nova Scotia, 2018, MUN STAT ANN REP 201
   Nova Scotia, 2007, INT COMM SUST PLANS
   Oulahen G, 2018, PLAN THEORY PRACT, V19, P405, DOI 10.1080/14649357.2018.1481993
   Picketts IM, 2014, J ENVIRON PLANN MAN, V57, P984, DOI 10.1080/09640568.2013.776951
   Rabe BG, 2007, GOVERNANCE, V20, P423, DOI 10.1111/j.1468-0491.2007.00365.x
   Rae B., 2015, WHATS HAPPENED POLIT
   Rapaport E, 2015, CAN PUBLIC POL, V41, P166, DOI 10.3138/cpp.2014-055
   Robinson P., 2005, Canadian Journal of Urban Research, V14, P102
   Ruparathna R, 2017, J CLEAN PROD, V165, P81, DOI 10.1016/j.jclepro.2017.07.092
   Sherren K, 2016, LAND USE POLICY, V51, P267, DOI 10.1016/j.landusepol.2015.11.018
   Shi LD, 2015, J AM PLANN ASSOC, V81, P191, DOI 10.1080/01944363.2015.1074526
   Starke R., 2018, CANADIAN PARLIAMENTA, V41, P2
   Statistics Canada, 2018, Population and Dwelling Count Highlight Tables, 2016 Census
   Stevens M, 2012, LOCAL ENVIRON, V17, P837, DOI 10.1080/13549839.2012.714752
   Stevens MR, 2015, J ENVIRON PLANN MAN, V58, P1988, DOI 10.1080/09640568.2014.973479
   Stevenson D, 2005, CAN PUBLIC ADMIN, V48, P528
   United Nations Climate Change, 2018, Paris agreement
   UNSM (Union of Nova Scotia Municipalities), 2011, UNSM MUN CLIM CHANG
   Vogel B. A., 2015, THESIS
   Vogel B, 2020, ENVIRON DEV SUSTAIN, V22, P1633, DOI 10.1007/s10668-018-0242-8
   Wellstead Adam, 2016, Climate Services, V4, P52, DOI 10.1016/j.cliser.2016.11.001
NR 59
TC 8
Z9 9
U1 1
U2 35
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PD SEP 18
PY 2020
VL 63
IS 11
BP 1927
EP 1945
DI 10.1080/09640568.2019.1691509
EA DEC 2019
PG 19
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA MI8NQ
UT WOS:000503510000001
DA 2025-01-10
ER

PT J
AU Burney, J
   Mcintosh, C
   Lopez-Videla, B
   Samphantharak, K
   Maia, AG
AF Burney, Jennifer
   Mcintosh, Craig
   Lopez-Videla, Bruno
   Samphantharak, Krislert
   Maia, Alexandre Gori
TI Empirical modeling of agricultural climate risk
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE financial institutions; climate change; Brazil; adaptation; agriculture
ID TEMPERATURE; IMPACT; INSURANCE; CMIP5; YIELD
AB Effective policies for adaptation to climate change require understanding how impactsare related to exposures and vulnerability, the dimensions of the climate systemthat will change most and where human impacts will be most draconian, and theinstitutions best suited to respond. Here, we propose a simple method for more crediblypairing empirical statistical damage estimates derived from recent weather and outcomeobservations with projected future climate changes and proposed responses. We firstanalyze agricultural production and loan repayment data from Brazil to understandvulnerability to historical variation in the more predictable components of temperatureand rainfall (trend and seasonality) as well as to shocks (both local and over larger spatialscales). This decomposed weather variation over the past two decades explains over 50%of the yield variation in major Brazilian crops and, critically, can be constructed in thesame way for future climate projections. Combining our estimates with bias-correcteddownscaled climate simulations for Brazil, we find increased variation in yields andrevenues (including more bad years and worse outcomes) and higher agricultural loandefault at midcentury. Results in this context point to two particularly acute dimensionsof vulnerability: Intensified seasonality and local idiosyncratic shocks both contribute toworsening outcomes, along with a reduced capacity for spatially correlated ("covariate")shocks to ameliorate these effects through prices. These findings suggest that resiliencestrategies should focus on institutions such as water storage, financial services, andreinsurance.
C1 [Burney, Jennifer; Mcintosh, Craig; Samphantharak, Krislert] Univ Calif San Diego, Sch Global Policy & Strategy, La Jolla, CA 92093 USA.
   [Burney, Jennifer] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92037 USA.
   [Lopez-Videla, Bruno] Univ Calif San Diego, Dept Econ, La Jolla, CA 92093 USA.
   [Maia, Alexandre Gori] Univ Estadual Campinas, Sao Paulo, Brazil.
C3 University of California System; University of California San Diego;
   University of California System; University of California San Diego;
   Scripps Institution of Oceanography; University of California System;
   University of California San Diego; Universidade Estadual de Campinas
RP Burney, J; Mcintosh, C (corresponding author), Univ Calif San Diego, Sch Global Policy & Strategy, La Jolla, CA 92093 USA.; Burney, J (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92037 USA.
EM jburney@ucsd.edu; ctmcintosh@ucsd.edu
RI Maia, Alexandre/Q-5222-2019; Gori Maia, Alexandre/D-6519-2012; Burney,
   Jennifer/C-6528-2015
OI Gori Maia, Alexandre/0000-0003-0075-5094; Burney,
   Jennifer/0000-0003-3532-2934
FU InterAmerican Development Bank [161554]
FX ACKNOWLEDGMENTS. Funding for initial work was provided by the InterAmer-
   ican Development Bank. This study design was reviewed and approved by
   the UC San Diego Institutional Review Board (Proposal #161554: "A
   Climate Risk Assessment Tool for Financial Institutions") .
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Almagro A, 2020, ATMOS RES, V244, DOI 10.1016/j.atmosres.2020.105053
   Ara Begum R., 2022, Point of departure and key concepts
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Bezner Kerr R., 2022, Food, fibre, and other ecosystem products in climate change 2022: impacts, adaptation
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Burney J., GitHub
   Camacho A, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.020
   Campiglio E, 2018, NAT CLIM CHANGE, V8, P462, DOI 10.1038/s41558-018-0175-0
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   De Roux N., 2021, Documento CEDE, V57, P1
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Dereczynski C, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100273
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Donaldson D, 2018, AM ECON REV, V108, P899, DOI 10.1257/aer.20101199
   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
   Fafchamps M, 2012, WORLD BANK ECON REV, V26, P383, DOI 10.1093/wber/lhr056
   Giorgi F, 2022, B AM METEOROL SOC, V103, pE293, DOI 10.1175/BAMS-D-21-0119.1
   Gulizia C, 2015, INT J CLIMATOL, V35, P583, DOI 10.1002/joc.4005
   Hertel TW, 2010, GLOBAL ENVIRON CHANG, V20, P577, DOI 10.1016/j.gloenvcha.2010.07.001
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Hultgren A., 2022, Estimating global impacts to agriculture from climate change accounting for adaptation, DOI 10.2139
   Instituto Brasileiro de Geografia e Estatistica, PAM - municipal agricultural production
   Jones CD, 2011, GEOSCI MODEL DEV, V4, P543, DOI 10.5194/gmd-4-543-2011
   Kreibich H, 2022, NATURE, V608, P80, DOI 10.1038/s41586-022-04917-5
   Lawrence Livermore National Laboratory, 2022, Downscaled CMIP3 and CMIP5 climate and hydrology projections
   Lee J.-Y., 2021, Future global climate: Scenario-based projections and near-term information
   Lemos MC, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01636-3
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lemos MC, 2002, CLIMATIC CHANGE, V55, P479, DOI 10.1023/A:1020785826029
   Lesk C, 2021, NAT FOOD, V2, P683, DOI 10.1038/s43016-021-00341-6
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Lyra A., 2014, American Journal of Climate Change, V03, DOI [10.4236/ajcc.2014.35043, DOI 10.4236/AJCC.2014.35043]
   Maia AG, 2021, LAND USE POLICY, V108, DOI 10.1016/j.landusepol.2021.105489
   Martínez DM, 2022, AUST J AGR RESOUR EC, V66, P690, DOI 10.1111/1467-8489.12483
   Meehl GA, 2014, B AM METEOROL SOC, V95, P243, DOI 10.1175/BAMS-D-12-00241.1
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Miranda MJ, 2011, AM J AGR ECON, V93, P399, DOI 10.1093/ajae/aaq109
   Moss RH, 2019, WEATHER CLIM SOC, V11, P465, DOI 10.1175/WCAS-D-18-0134.1
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Ortiz-Bobea A, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1e75
   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
   Portner H.-O., 2022, SUMMARY POLICYMAKERS
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   TOWNSEND RM, 1994, ECONOMETRICA, V62, P539, DOI 10.2307/2951659
   Willmott C.J, 2018, Terrestrial air temperature and precipitation: Monthly and annual time series (1950-1996)
   Yegbemey RN, 2023, WORLD DEV, V167, DOI 10.1016/j.worlddev.2022.106178
   Zhu P, 2022, NAT CLIM CHANGE, V12, P1016, DOI 10.1038/s41558-022-01492-5
NR 57
TC 1
Z9 1
U1 6
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 APR 16
PY 2024
VL 121
IS 16
AR e2215677121
DI 10.1073/pnas.2215677121
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA OQ9Q2
UT WOS:001208861000003
PM 38588420
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Nazari, B
   Keshavarz, M
AF Nazari, Bijan
   Keshavarz, Marzieh
TI Water population density: Global and regional analysis
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID CLIMATE-CHANGE; VIRTUAL WATER; SCARCITY; VULNERABILITY; RESOURCES;
   DROUGHT; CHALLENGES; COMMUNITY; QUANTITY; ENERGY
AB The exponential growth of population and water use has intensified water stress and scarcity. Understanding the demographic forces is necessary to maintain the delicate balance between humans' need for freshwater and finite water resources. To analyze the population and water nexus simultaneously, the water population density (WPD) indicator is developed, and the past, present, and future changes in water-population interaction at both global and regional scales are investigated. Results revealed that WPD (people per mm(3)) is a valuable indicator that can be applied on regional and global scales. Also, the integration of land population density (LPD) and WPD represents a synoptic-scale identification of the critical land and water challenges and guides water policies towards efficient management of land and water resources. By adopting tree analysis, this study classified the world's countries and regions as having low, moderate, high, or extremely high WPD. In light of the findings, the per capita availability of water will significantly decrease in the high and extremely high WPD regions. Better management of population distribution and water resources, as well as increased public awareness about the advantages of efficient water use, can present some opportunities to reduce water stress in the high and extremely high WPD countries and regions. Also, this indicator can be used for planning water resources and adaptation to climate change.
C1 [Nazari, Bijan] Imam Khomeini Int Univ, Dept Water Sci & Engn, POB 3414896818, Qazvin, Iran.
   [Keshavarz, Marzieh] Payame Noor Univ, Dept Agr, Tehran, Iran.
C3 Imam Khomeini International University; Payame Noor University
RP Nazari, B (corresponding author), Imam Khomeini Int Univ, Dept Water Sci & Engn, POB 3414896818, Qazvin, Iran.
EM b.nazari@eng.ikiu.ac.ir; keshavarzmarzieh@pnu.ac.ir
RI Keshavarz, Marzieh/CAH-8539-2022; Nazari, Bijan/W-5947-2019
CR Ahmadalipour A, 2019, SCI TOTAL ENVIRON, V662, P672, DOI 10.1016/j.scitotenv.2019.01.278
   Aksu G, 2016, EGIT BILIM, V41, P101, DOI 10.15390/EB.2016.4766
   Al-Saidi M, 2016, PROCEDIA ENGINEER, V145, P900, DOI 10.1016/j.proeng.2016.04.117
   [Anonymous], 2016, The United Nations World Water Development Report 2016: Water and Jobs
   [Anonymous], 2004, WATER GOVERNANCE POV
   Bu HM, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5138-4
   Cosgrove W.J., 2000, SUSTAINABLE DEV INT, P149
   Dos Santos S, 2017, SCI TOTAL ENVIRON, V607, P497, DOI 10.1016/j.scitotenv.2017.06.157
   EHRLICH PR, 1971, SCIENCE, V171, P1212, DOI 10.1126/science.171.3977.1212
   El Kharraz J, 2012, PROCEDIA ENGINEER, V33, P14, DOI 10.1016/j.proeng.2012.01.1172
   Elmhagen B, 2015, ECOL SOC, V20, DOI 10.5751/ES-07145-200123
   Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   FAO, 2016, AQUASTAT FAOS INFORM
   Frischknecht R, 2009, INT J LIFE CYCLE ASS, V14, P584, DOI 10.1007/s11367-009-0120-6
   Global Perspectives Studies (GPS) Team, 2018, US
   Hanasaki N, 2008, HYDROL EARTH SYST SC, V12, P1027, DOI 10.5194/hess-12-1027-2008
   Heaps C, 1998, POLESTAR SERIES REPO
   Herrmann M, 2012, POPULATION MATTERS S, V32
   Ibrahim SH, 2017, J SUSTAIN DEV ENERGY, V5, P345, DOI 10.13044/j.sdewes.d5.0153
   Jaloree S., 2014, BINARY J DATA MINING, V4, P25, DOI DOI 10.5138/BJDMN.V4I1.1563
   Jenks GF., 1967, Int Yearb Cartogr, V7, P186, DOI DOI 10.1201/9780429464195-7
   Jilong S, 2014, WATER SUPPLY NETWORK
   Kamaruzzaman SN, 2016, ECOL INDIC, V69, P548, DOI 10.1016/j.ecolind.2016.04.031
   Keshavarz M, 2013, J ENVIRON MANAGE, V127, P61, DOI 10.1016/j.jenvman.2013.04.032
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Kumar A, 2009, REPORT GROUND WATER
   Kumar MD, 2005, WATER RESOUR MANAG, V19, P759, DOI 10.1007/s11269-005-3278-0
   Lawford R, 2013, CURR OPIN ENV SUST, V5, P607, DOI 10.1016/j.cosust.2013.11.005
   Lee S, 2015, SUSTAINABILITY-BASEL, V7, P13416, DOI 10.3390/su71013416
   Liefferink SL, 2017, J SUSTAIN DEV ENERGY, V5, P430, DOI 10.13044/j.sdewes.d5.0155
   Liu JG, 2017, EARTHS FUTURE, V5, P545, DOI 10.1002/2016EF000518
   Liu JG, 2016, ECOL INDIC, V60, P434, DOI 10.1016/j.ecolind.2015.07.019
   Liyanage CP, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081405
   Maten F, 2017, MASTER THESIS
   McCartney M., 2013, Agricultural water storage in an era of climate change: Assessing need and effectiveness in Africa, DOI DOI 10.5337/2013207
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Melorose J., 2015, UN, V1, P587, DOI DOI 10.1017/CBO9781107415324.004
   Methods C, 2017, CLASSIFICATION STATU
   Mogomotsi PK., 2018, PHYS CHEM EARTH, DOI [10.1016/j.pec.2018.03.010, DOI 10.1016/J.PEC.2018.03.010]
   Muller M, 2015, SCIENCE, V349, P585, DOI 10.1126/science.aac7606
   Namdar R, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10110794
   Nazari B, 2018, AGR WATER MANAGE, V208, P7, DOI 10.1016/j.agwat.2018.06.003
   Nouri H, 2019, SCI TOTAL ENVIRON, V653, P241, DOI 10.1016/j.scitotenv.2018.10.311
   Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845
   Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001
   Rockström J, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006767
   Seckler D. W., 1998, World water demand and supply, 1990 to 2025: Scenarios and issues
   Sullivan C, 2002, WORLD DEV, V30, P1195, DOI 10.1016/S0305-750X(02)00035-9
   The World Bank, 2019, S ASIA
   Unver Olcay, 2017, Water Security, V1, P21, DOI 10.1016/j.wasec.2017.05.001
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2014, NAT GEOSCI, V7, P615, DOI 10.1038/ngeo2241
   Wada Y, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009792
   Wang YJ, 2017, WATER-SUI, V9, DOI 10.3390/w9110810
   World Bank, 2017, Open Data
   Zarei Z, 2020, J ENVIRON MANAGE, V262, DOI 10.1016/j.jenvman.2020.110283
   Zeng Z, 2013, ECOL INDIC, V34, P441, DOI 10.1016/j.ecolind.2013.06.012
   Zhao DD, 2019, WATER RES, V153, P304, DOI 10.1016/j.watres.2019.01.025
NR 59
TC 9
Z9 10
U1 4
U2 15
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD JUL
PY 2023
VL 153
IS 1-2
BP 431
EP 445
DI 10.1007/s00704-023-04473-6
EA MAY 2023
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA J9UM1
UT WOS:000990480600001
DA 2025-01-10
ER

PT J
AU Jin, G
   Sun, YT
AF Jin, G. A. N. G.
   Sun, Y. U. T. I. N. G.
TI TOO HOT FOR SUSTAINABLE DEVELOPMENT: CLIMATE CHANGE AND ENERGY
   EFFICIENCY
SO CLIMATE CHANGE ECONOMICS
LA English
DT Article
DE Climate change; temperature shocks; energy efficiency; adaptive energy
   cost
ID CO2 EMISSIONS PERFORMANCE; PRODUCTIVITY GROWTH; ADAPTATION EVIDENCE;
   TEMPERATURE; MORTALITY; WEATHER; SHOCKS; FLUCTUATIONS; AGRICULTURE;
   IMPACTS
AB Previous studies have focused on the benefits of adaptation in mitigating the negative effect of climate change on economic production, neglecting that adaptive energy input cannot be directly translated into output, which may be a barrier to sustainable development. Based on panel data from 280 cities in China from 2003 to 2016, we first calculate the energy efficiency as a proxy for sustainable development by using the nonradial directional distance function (NDDF) method. Second, we estimate energy efficiency as a function of temperature shocks, and we use these estimates to predict future potential impacts from climate change. We find three primary results: First, higher temperatures substantially reduce energy efficiency. Second, the heat effect on energy efficiency is homogenous across regions with different climates, suggesting that while adaptations in hot regions can mitigate the harmful effects of heat on output, this mitigation is completely offset by the concomitant increase in energy costs. Third, the energy efficiency would decrease by 2.82% in the medium term (2041-2060) and by 12.02% in the long term (2061-2080), under the assumption that carbon dioxide emissions continue to increase throughout the 21st century. These findings suggest that moderate adaptations to climate change are crucial for sustainable development.
C1 [Jin, G. A. N. G.] Nanjing Univ, Sch Business, Jinyin St 16, Nanjing 210093, Peoples R China.
   [Sun, Y. U. T. I. N. G.] Southeast Univ, Sch Econ & Management, Southeast Univ Rd 2, Nanjing 211189, Peoples R China.
C3 Nanjing University; Southeast University - China
RP Jin, G (corresponding author), Nanjing Univ, Sch Business, Jinyin St 16, Nanjing 210093, Peoples R China.
EM jingang@nju.edu.cn; ytsun_seu@163.com
OI Gang, Jin/0000-0001-9488-924X
FU National Natural Science Foundation of China [71903085, 72172060];
   Fundamental Research Funds for the Central Universities [010414370114];
   Key Project of Philosophy and Social Science Research in Colleges and
   Universities of Jiangsu Province [2020SJZDA068]
FX We are grateful to the editor and anonymous referees for their valuable
   comments and suggestions. We gratefully acknowledge the financial
   support from the National Natural Science Foundation of China (Grant
   Nos. 71903085 and 72172060), the Fundamental Research Funds for the
   Central Universities (Grant No. 010414370114), and the Key Project of
   Philosophy and Social Science Research in Colleges and Universities of
   Jiangsu Province (Grant No. 2020SJZDA068).
CR Barreca AI, 2012, J ENVIRON ECON MANAG, V63, P19, DOI 10.1016/j.jeem.2011.07.004
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Cai XQ, 2018, J COMP ECON, V46, P889, DOI 10.1016/j.jce.2018.06.003
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Chang TP, 2010, APPL ENERG, V87, P3262, DOI 10.1016/j.apenergy.2010.04.026
   Chen SY, 2014, ENERG ECON, V44, P89, DOI 10.1016/j.eneco.2014.04.002
   Chen XG, 2019, J ENVIRON ECON MANAG, V95, P257, DOI 10.1016/j.jeem.2017.07.009
   Conley TG, 1999, J ECONOMETRICS, V92, P1, DOI 10.1016/S0304-4076(98)00084-0
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Deryugina T., 2014, National Bureau of Economic Research Working Paper Series, V20750
   Deryugina T, 2020, AM ECON REV, V110, P3602, DOI 10.1257/aer.20181026
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Deschênes O, 2011, AM ECON J-APPL ECON, V3, P152, DOI 10.1257/app.3.4.152
   Driscoll JC, 1998, REV ECON STAT, V80, P549, DOI 10.1162/003465398557825
   Fankhauser S, 2005, RESOUR ENERGY ECON, V27, P1, DOI 10.1016/j.reseneeco.2004.03.003
   Garg T, 2020, J ECON BEHAV ORGAN, V180, P309, DOI 10.1016/j.jebo.2020.10.016
   Guo C, 2013, J ENVIRON ECON MANAG, V65, P452, DOI 10.1016/j.jeem.2012.12.003
   Hasan MM, 2016, CLIM CHANG ECON, V7, DOI 10.1142/S2010007816500081
   Heutel G, 2018, NATL BUREAU EC RES W, V23271
   Heyes A, 2019, AM ECON J-APPL ECON, V11, P238, DOI 10.1257/app.20170223
   Hsiang S, 2017, SCIENCE, V356, P1362, DOI 10.1126/science.aal4369
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Jin G, 2020, CHINA ECON REV, V61, DOI 10.1016/j.chieco.2018.09.005
   Jones BF, 2010, AM ECON REV, V100, P454, DOI 10.1257/aer.100.2.454
   Kumar S, 2019, CLIMATIC CHANGE, V156, P209, DOI 10.1007/s10584-019-02515-5
   Lee WS, 2021, J HEALTH ECON, V76, DOI 10.1016/j.jhealeco.2020.102401
   Letta M, 2019, ENVIRON RESOUR ECON, V73, P283, DOI 10.1007/s10640-018-0262-8
   Li CZ, 2015, ECON LETT, V135, P55, DOI 10.1016/j.econlet.2015.07.032
   Li JL, 2017, ENERG POLICY, V101, P366, DOI 10.1016/j.enpol.2016.10.036
   Lin BQ, 2015, ENERG POLICY, V78, P113, DOI 10.1016/j.enpol.2014.12.025
   Lin BQ, 2013, ENERG ECON, V40, P529, DOI 10.1016/j.eneco.2013.08.013
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Ren M., 2019, Why has China overinvested in coal power? Technical report
   Schlenker W, 2005, AM ECON REV, V95, P395, DOI 10.1257/0002828053828455
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Tol RSJ, 2009, J ECON PERSPECT, V23, P29, DOI 10.1257/jep.23.2.29
   Tsigaris P, 2019, ECOL ECON, V162, P74, DOI 10.1016/j.ecolecon.2019.04.009
   Yu XM, 2019, J ENVIRON ECON MANAG, V96, P195, DOI 10.1016/j.jeem.2019.05.004
   Yuan XC, 2020, CLIM CHANG ECON, V11, DOI 10.1142/S2010007820500074
   Zhang N, 2015, APPL ENERG, V146, P409, DOI 10.1016/j.apenergy.2015.01.072
   Zhang P, 2018, J ENVIRON ECON MANAG, V88, P1, DOI 10.1016/j.jeem.2017.11.001
   Zhou P, 2012, EUR J OPER RES, V221, P625, DOI 10.1016/j.ejor.2012.04.022
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 45
TC 1
Z9 1
U1 8
U2 38
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2010-0078
EI 2010-0086
J9 CLIM CHANG ECON
JI Clim. Chang. Econ.
PD AUG
PY 2023
VL 14
IS 03
DI 10.1142/S2010007823500148
EA MAR 2023
PG 28
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA H6YG6
UT WOS:000957126300003
DA 2025-01-10
ER

PT J
AU Germanier, R
   Moricciani, N
AF Germanier, Rachel
   Moricciani, Niccolo
TI Perceiving and Adapting to Climate Change: Perspectives of Tuscan
   Wine-Producing Agritourism Owners
SO SUSTAINABILITY
LA English
DT Article
DE Tuscany; Val d'Orcia; climate change; viticulture; viniculture;
   agritourism
ID CHANGE BELIEFS; ADAPTATION; TOURISM; PERCEPTIONS; WEATHER; DEMAND;
   GRAPE; CHINA
AB It is now widely accepted that climate change is having a profound impact on the weather systems around the world. These, in turn, have a considerable effect on two important elements of the Tuscan economy: wine production and tourism. This case study sought to explore the relationship between the perception of Tuscan wine-producing agritourism owners of the potentially abstract notion of climate change and their concrete experiences as entrepreneurs. Semi-structured interviews were conducted with eight wine-producing agritourism owners or managers in Val d'Orcia, a small area of Siena, Tuscany, and analysed thematically. The impact of climate change on the area's viticulture is undeniable but the responses to the challenges are more nuanced. Political leadership on the climate crisis appears absent and perhaps as a consequence, these small-scale operators lack knowledge and funds to enable them to plan ahead: they react often day-to-day to the immediate weather conditions rather than planning long term. While recognizing the difficulties they face from climate change as viticulturists, as agrotourism owners they welcome the longer seasons which enable them to open in the formerly barren shoulder seasons but struggle with last-minute cancellations due to unpredictable weather in the area.
C1 [Germanier, Rachel; Moricciani, Niccolo] Les Roches Global Hospitality Educ, CH-3975 Crans Montana, Switzerland.
RP Germanier, R (corresponding author), Les Roches Global Hospitality Educ, CH-3975 Crans Montana, Switzerland.
EM rachel.germanier@lesroches.edu
OI Germanier, Rachel/0000-0002-5629-0882
CR agriturismoitalia.gov.it, 2021, AGRITURISMO ITALIA
   [Anonymous], 2008, QUALITATIVE RES GUID
   Antronico L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176985
   Ashenfelter O, 2016, J WINE ECON, V11, P105, DOI 10.1017/jwe.2016.5
   Back RM, 2020, J VACAT MARK, V26, P57, DOI 10.1177/1356766719858642
   Baird T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030797
   Battaglini A, 2009, REG ENVIRON CHANGE, V9, P61, DOI 10.1007/s10113-008-0053-9
   Bernetti I., 2012, Wine Economics and Policy, V1, P73, DOI DOI 10.1016/J.WEP.2012.11.002
   Brandano MG, 2018, INT J TOUR RES, V20, P713, DOI 10.1002/jtr.2218
   Bryman A., 2008, Social research methods
   Cai M., 2011, SSRN ELECT J, DOI [10.2139/ssrn.1942347, DOI 10.2139/SSRN.1942347]
   Chen YY, 2019, OPEN AGRIC, V4, P517, DOI 10.1515/opag-2019-0050
   Clark T., 2021, Bryman's Social Research Methods, V6th edn
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Dai J, 2015, ECOL ECON, V116, P310, DOI 10.1016/j.ecolecon.2015.05.001
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   Di Lena B, 2019, THEOR APPL CLIMATOL, V136, P1145, DOI 10.1007/s00704-018-2545-y
   Droulia F, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12040495
   Eben B, 2017, VAL ORCIA
   Embacher H., 1994, Journal of Sustainable Tourism, V2, P61, DOI 10.1080/09669589409510684
   Fourment M, 2020, ENVIRON MANAGE, V66, P590, DOI 10.1007/s00267-020-01330-4
   Fraga H, 2012, FOOD ENERGY SECUR, V1, P94, DOI 10.1002/fes3.14
   Getz D, 2006, TOURISM MANAGE, V27, P146, DOI 10.1016/j.tourman.2004.08.002
   Ghinoi S, 2020, POLITICS GOV, V8, P215, DOI 10.17645/pag.v8i2.2577
   Gioia E, 2021, GEOSCIENCES, V11, DOI 10.3390/geosciences11100424
   Hamilton LC, 2013, WEATHER CLIM SOC, V5, P112, DOI 10.1175/WCAS-D-12-00048.1
   Holland T, 2014, REG ENVIRON CHANGE, V14, P1109, DOI 10.1007/s10113-013-0555-y
   Poirier EJ, 2021, CAN GEOGR-GEOGR CAN, V65, P368, DOI 10.1111/cag.12665
   Johnson B., 2021, WORLD FOOTPRINT 0615
   Jones G. V., 2008, Italus Hortus, V15, P3
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   Mahaliyanaarachchi RP, 2019, OPEN AGRIC, V4, P737, DOI 10.1515/opag-2019-0074
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mena, 2018, AGR CLIM CHANG AD ST
   Menapace L, 2015, GLOBAL ENVIRON CHANG, V35, P70, DOI 10.1016/j.gloenvcha.2015.07.005
   Moriondo M, 2011, REG ENVIRON CHANGE, V11, P553, DOI 10.1007/s10113-010-0171-z
   Mozell M. R., 2014, Wine Economics and Policy, V3, P81, DOI 10.1016/j.wep.2014.08.001
   NASA Scientific Consensus, 2021, SCI CONS EARTHS CLIM
   NASA The Effects of Climate Change, 2021, GLOBAL CLIMATE CHANG
   Neethling E, 2017, MITIG ADAPT STRAT GL, V22, P777, DOI 10.1007/s11027-015-9698-0
   Next Stop, 2021, NEXT STOP GLASG WHAT
   Nicholas KA, 2012, GLOBAL ENVIRON CHANG, V22, P483, DOI 10.1016/j.gloenvcha.2012.01.001
   Nicholls S, 2015, SCAND J HOSP TOUR, V15, P48, DOI 10.1080/15022250.2015.1010325
   .orangesmile.com, REGIONS ITALY
   Perry A., 2006, Journal of Sustainable Tourism, V14, P367, DOI 10.2167/jost545.0
   Perry A., 2003, FEEM SER ECON ENVIR, DOI [10.2139/ssrn.235082, DOI 10.2139/SSRN.235082]
   Phillip S, 2010, TOURISM MANAGE, V31, P754, DOI 10.1016/j.tourman.2009.08.001
   Pröbstl-Haider U, 2021, J OUTDOOR REC TOUR, V34, DOI 10.1016/j.jort.2020.100344
   Quenol H., 2014, Bulletin de l'OIV, V87, P395
   Robinson D, 2019, PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON TOURISM RESEARCH (ICTR 2019), P246
   Roman M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124858
   Sacchelli S, 2017, J CLEAN PROD, V166, P891, DOI 10.1016/j.jclepro.2017.08.095
   Santos JA, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10093092
   Schultz HR, 2016, J WINE ECON, V11, P181, DOI 10.1017/jwe.2015.31
   Sottini VA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137489
   Spellman G., 1999, Weather, V54, P230, DOI DOI 10.1002/J.1477-8696.1999.TB07256.X
   Stanchi S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041991
   Steentjes K., 2017, European perceptions of climate change (EPCC). Topline findings of a survey conducted in four European countries in 2016
   Teslic N, 2018, THEOR APPL CLIMATOL, V131, P793, DOI 10.1007/s00704-016-2005-5
   The Store of Valdorcia Terre di Siena, ITS TUSC
   Trigo A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073949
   United Nations Causes and Effects of Climate Change, 2022, CAUS EFF CLIM CHANG
   United Nations (UN), 2021, What Is Climate Change?
   Val d'Orcia, ITALIA
   Val d'Orcia, 2021, TUSC VIS VAL ORC TUS
   Valdivia C, 2014, TOUR MANAG PERSPECT, V11, P18, DOI 10.1016/j.tmp.2014.02.004
   van Leeuwen C, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090514
   Veal A.J., 1997, RES METHODS LEISURE
   Vink N, 2012, INT J CLIM CHANG STR, V4, P420, DOI 10.1108/17568691211277746
   World Health Organisation & United Nations, 2015, CLIM HLTH COUNTR PRO
   Yin R.K., 2014, Applications of case study research, V2nd
   Young M., 2019, WINE4FOOD       0201
   Za V., 2022, REUTERS         0720
   Zhu XQ, 2016, REG ENVIRON CHANGE, V16, P85, DOI 10.1007/s10113-014-0622-z
NR 74
TC 4
Z9 4
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2023
VL 15
IS 3
AR 2100
DI 10.3390/su15032100
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 8U6NL
UT WOS:000930066300001
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Shi, SH
   Zhu, LP
   Luo, ZH
   Qiu, H
AF Shi, Shouhai
   Zhu, Luping
   Luo, Zhaohui
   Qiu, Hua
TI Quantitative Analysis of the Contributions of Climatic and Anthropogenic
   Factors to the Variation in Net Primary Productivity, China
SO REMOTE SENSING
LA English
DT Article
DE spatiotemporal variation; driving factor; interactive effect; NPP;
   geographic detector; China
ID GRASSLAND DEGRADATION; CARBON SEQUESTRATION; DRIVING FACTORS; VEGETATION
   NPP; PRECIPITATION; TEMPERATURE; CO2; RESPONSES; IMPACTS
AB Accurate quantification of the contributions of climatic and anthropogenic factors to the variation in NPP is critical for elucidating the relevant driving mechanisms. In this study, the spatiotemporal variation in net primary productivity (NPP) in China during 2000-2020, the interactive effects of climatic and anthropogenic factors on NPP and the optimal characteristics of driving forces were explored. Our results indicate that NPP had obvious spatial differentiation, an overall increasing trend was identified and this trend will continue in the future for more than half of the pixels. Land use and Land cover and precipitation were the main factors regulating NPP variation at both the national scale and the sub-region scale, except in southwest China, which was dominated by altitude and temperature. Moreover, an interactive effect between each pair of factors was observed and the effect of any pair of driving factors was greater than that of any single factor, manifested as either bivariate enhancement or nonlinear enhancement. Furthermore, the responses and optimal characteristics of NPP concerning driving forces were diverse. The findings provide a critical understanding of the impacts of driving forces on NPP and could help to create optimal conditions for vegetation growth to mitigate and adapt to climate changes.
C1 [Shi, Shouhai] Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450001, Peoples R China.
   [Zhu, Luping; Luo, Zhaohui] Minist Environm Protect, South China Inst Environm Sci, Guangzhou 510655, Peoples R China.
   [Zhu, Luping; Luo, Zhaohui] State Environm Protect Key Lab Urban Ecol Simulat, Guangzhou 510655, Peoples R China.
   [Qiu, Hua] Qiannan Meteorol Bur, Hebei 558000, Qiannan, Peoples R China.
C3 Zhengzhou University
RP Luo, ZH (corresponding author), Minist Environm Protect, South China Inst Environm Sci, Guangzhou 510655, Peoples R China.; Luo, ZH (corresponding author), State Environm Protect Key Lab Urban Ecol Simulat, Guangzhou 510655, Peoples R China.
EM huizhaoluo@163.com
RI Zhaohui, Luo/JVZ-6419-2024
OI Shi, Shouhai/0000-0002-4637-2745
FU National Natural Science Foundation of China [42001214]; Central Fund
   Supporting Nonprofit Scientific Institutes for Basic Research and
   Development [PM-zx703-202111-313]
FX This study was supported by National Natural Science Foundation of China
   (42001214), Central Fund Supporting Nonprofit Scientific Institutes for
   Basic Research and Development (No. PM-zx703-202111-313).
CR Bonney MT, 2018, REMOTE SENS ENVIRON, V217, P18, DOI 10.1016/j.rse.2018.08.002
   Cai YF, 2022, CATENA, V217, DOI 10.1016/j.catena.2022.106530
   Campana S, 2021, APPL VEG SCI, V24, DOI 10.1111/avsc.12588
   Cao D, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002681
   Cao SX, 2011, EARTH-SCI REV, V104, P240, DOI 10.1016/j.earscirev.2010.11.002
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Chen ST, 2021, J MT SCI-ENGL, V18, P427, DOI 10.1007/s11629-020-6404-9
   Chen YP, 2015, NAT GEOSCI, V8, P739, DOI 10.1038/ngeo2544
   Chen YZ, 2020, FOREST ECOL MANAG, V462, DOI 10.1016/j.foreco.2020.117990
   Chen YZ, 2021, GLOBAL CHANGE BIOL, V27, P5848, DOI 10.1111/gcb.15854
   Chi DK, 2018, ECOL INDIC, V88, P372, DOI 10.1016/j.ecolind.2018.01.051
   Du WP, 2021, RESOUR CONSERV RECY, V172, DOI 10.1016/j.resconrec.2021.105679
   Du ZQ, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11212932
   Fang XQ, 2018, REMOTE SENS ENVIRON, V206, P391, DOI 10.1016/j.rse.2017.11.017
   Fuhrer J, 2003, AGR ECOSYST ENVIRON, V97, P1, DOI 10.1016/S0167-8809(03)00125-7
   Gao JX, 2020, AMBIO, V49, P1519, DOI 10.1007/s13280-019-01307-6
   Gao SQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13204175
   Ge WY, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145648
   Guan XB, 2019, SCI TOTAL ENVIRON, V669, P342, DOI 10.1016/j.scitotenv.2019.02.361
   Huang SZ, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124687
   Ji YH, 2020, FOR ECOSYST, V7, DOI 10.1186/s40663-020-00229-0
   Jiang C, 2015, INT J PLANT PROD, V9, P581
   Kamali A, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08667-7
   Kang Y, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173357
   Li J, 2021, INT J APPL EARTH OBS, V102, DOI 10.1016/j.jag.2021.102378
   Li SB, 2022, AGR FOREST METEOROL, V314, DOI 10.1016/j.agrformet.2021.108767
   Liu CL, 2021, CATENA, V206, DOI 10.1016/j.catena.2021.105500
   Liu SS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030714
   Liu YX, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-020-08824-y
   Lu F, 2018, P NATL ACAD SCI USA, V115, P4039, DOI 10.1073/pnas.1700294115
   Luo YQ, 2008, GLOBAL CHANGE BIOL, V14, P1986, DOI 10.1111/j.1365-2486.2008.01629.x
   Luo ZH, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7110451
   Luo ZH, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091352
   Luo ZH, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9010065
   Ma BX, 2022, ENVIRON SCI POLLUT R, V29, P80597, DOI 10.1007/s11356-022-21433-1
   Ma ZL, 2020, J ECOL, V108, P2083, DOI 10.1111/1365-2745.13379
   Meng XY, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040603
   Meng XJ, 2013, J GEOGR SCI, V23, P653, DOI 10.1007/s11442-013-1035-5
   Nie T, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040613
   Pei FS, 2018, AGR FOREST METEOROL, V248, P215, DOI 10.1016/j.agrformet.2017.10.001
   Pei FS, 2013, AGR FOREST METEOROL, V171, P174, DOI 10.1016/j.agrformet.2012.12.003
   Peng WF, 2019, J CLEAN PROD, V233, P353, DOI 10.1016/j.jclepro.2019.05.355
   Sayemuzzaman M, 2014, ATMOS RES, V137, P183, DOI 10.1016/j.atmosres.2013.10.012
   Shi MJ, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12081182
   Tao J, 2018, INT J CLIMATOL, V38, P2029, DOI 10.1002/joc.5314
   Wang DD, 2022, FOREST ECOL MANAG, V506, DOI 10.1016/j.foreco.2021.119957
   Wang H, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107831
   Wang JF, 2016, ECOL INDIC, V67, P250, DOI 10.1016/j.ecolind.2016.02.052
   Wang XL, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14246276
   Wang X, 2017, SCI REP-UK, V7, DOI 10.1038/srep44415
   Wang ZQ, 2016, ECOL INFORM, V33, P32, DOI 10.1016/j.ecoinf.2016.03.006
   Wu YY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14122929
   Wu YY, 2018, ENVIRON SCI POLLUT R, V25, P11384, DOI 10.1007/s11356-018-1431-6
   Xie CH, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14051092
   Yan XX, 2020, GISCI REMOTE SENS, V57, P753, DOI 10.1080/15481603.2020.1794395
   Yan YC, 2019, ECOL INDIC, V103, P542, DOI 10.1016/j.ecolind.2019.04.020
   Yang J, 2017, FORESTS, V8, DOI 10.3390/f8100361
   Yang ZW, 2022, CATENA, V213, DOI 10.1016/j.catena.2022.106213
   Yue S, 2002, J HYDROL, V259, P254, DOI 10.1016/S0022-1694(01)00594-7
   Zhang L, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abo0095
   Zhen L, 2020, ENVIRON DEV, V34, DOI 10.1016/j.envdev.2020.100494
   Zheng K, 2019, SCI TOTAL ENVIRON, V660, P236, DOI 10.1016/j.scitotenv.2019.01.022
   Zheng KY, 2021, ECOL INDIC, V126, DOI 10.1016/j.ecolind.2021.107648
   Zhou W, 2017, ECOL INDIC, V83, P303, DOI 10.1016/j.ecolind.2017.08.019
   Zhou XH, 2008, ECOL APPL, V18, P453, DOI 10.1890/07-0626.1
   Zhou Y, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105048
   Zhu LJ, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106545
   Zuo DP, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126532
   Zuo YF, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109429
NR 69
TC 13
Z9 14
U1 20
U2 108
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD FEB
PY 2023
VL 15
IS 3
AR 789
DI 10.3390/rs15030789
PG 20
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 8V1KB
UT WOS:000930396600001
OA gold
DA 2025-01-10
ER

PT J
AU White-Nockleby, C
AF White-Nockleby, Caroline
TI Grid-scale batteries and the politics of storage
SO SOCIAL STUDIES OF SCIENCE
LA English
DT Article
DE batteries; storage; electricity; renewable energy; resources;
   temporality
ID WAR; ETHNOGRAPHY; DYNAMICS; LITHIUM; TIME
AB From Tesla's experimental 'Virtual Power Plants' to the US's Energy Storage Grand Challenge, grid-scale batteries - which attach to the electricity grid to buffer supply and demand - are sites of intensifying research, speculation and legislation. They are increasingly positioned as a transformative means to mitigate and adapt to climate change. Indeed, batteries are not the only form of storage in the spotlight: A variety of stored forms, including seed banks, metals stockpiles, and sequestered carbon dioxide have become central in generating, and ameliorating, anxieties about environmental futures. 'Storage' offers a potent analytic to analogize phenomena across scales and contexts, in part because of the increasingly visible status of its emic instantiations. As a means to store electricity, a uniquely ephemeral commodity, batteries, like other stored forms, both mediate power and capital and can defuse political potency. Though batteries can smooth the integration of renewable energy into the grid by disciplining the unruly schedules of sun and wind, their potentials (and proponents) extend to the fossil fuel industry as well: They are 'fuel-neutral', allowing all kinds of electrons to become more cost-efficient. In these multivalent contexts, I suggest, securing the status and value of a battery's stored electricity, or trading on its ambiguity, can signal and effect political agendas, even as such arbitrations can recast politics in a techno-juridical domain.
C1 [White-Nockleby, Caroline] MIT, Program Hist Anthropol & Sci Technol & Soc HASTS, 77 Massachusetts Ave,Room E51-163, Cambridge, MA 02139 USA.
C3 Massachusetts Institute of Technology (MIT)
RP White-Nockleby, C (corresponding author), MIT, Program Hist Anthropol & Sci Technol & Soc HASTS, 77 Massachusetts Ave,Room E51-163, Cambridge, MA 02139 USA.
EM cwn@mit.edu
OI White-Nockleby, Caroline/0000-0002-1140-0937
CR [Anonymous], 1991, Nature's Metropolis: Chicago and the Great West
   [Anonymous], 2020, Energy Storage Grand Challenge: Energy Storage Market Report
   Appel H., 2018, INTRO TEMPORALITY PO, P1
   Arrobas DanieleLa Porta., 2017, GROWING ROLE MINERAL
   Bakke G, 2019, ELECTRIFYING ANTHROPOLOGY: EXPLORING ELECTRICAL PRACTICES AND INFRASTRUCTURES, P25
   Bakke Gretchen., 2016, GRID FRAYING WIRES A
   Balaskovitz A., 2019, BIPARTISAN ENER 1022
   Balaskovitz A., 2019, ENERGY NEWS NET 0507
   Bandyk M., 2020, PROPELLING TRANSITIO
   Banoub D, 2020, ENVIRON PLANN D, V38, P1101, DOI 10.1177/0263775820911942
   Barandiarán J, 2019, WORLD DEV, V113, P381, DOI 10.1016/j.worlddev.2018.09.019
   Bevan A, 2014, CURR ANTHROPOL, V55, P387, DOI 10.1086/677034
   Bhowmik S., 2019, COMMUNICATION 1, V7, P2
   Bowker Geofrey C, 2000, Classification and its consequences
   Boyer Dominic., 2019, Energopolitics: Wind and Power in the Anthropocene
   Bunning Jonny., 2017, Cryopolitics, P215
   Burger S., 2020, FORM ENERGY
   Bustos-Gallardo B, 2021, GEOFORUM, V119, P177, DOI 10.1016/j.geoforum.2021.01.001
   Chacko XS, 2019, CULT AGRIC FOOD ENVI, V41, P97, DOI 10.1111/cuag.12237
   Cohn J.A., 2017, The grid: biography of an American technology
   Colthorpe A., 2020, Energy Storage News
   Cowen D., 2014, The Deadly Life of Logistics: Mapping Violence in Global Trade, DOI DOI 10.5749/MINNESOTA/9780816680870.001.0001
   Crider J., 2021, CLEANTECHNICA RETRIE
   Cross J, 2018, ENERGY RES SOC SCI, V44, P100, DOI 10.1016/j.erss.2018.04.034
   Duffield M, 2011, S ATL Q, V110, P757, DOI 10.1215/00382876-1275779
   Edwards PaulN., 2002, Infrastructure and Modernity: Scales of Force, Time, and Social Organization in the History of Sociotechnical Systems, P185
   Eisler MN, 2017, TECHNOL CULT, V58, P368, DOI 10.1353/tech.2017.0040
   Energy F., 2020, Form Energy Announces Pilot with Great River Energy to Enable the Utility's Transition to an Affordable, Reliable and Renewable Electricity Grid
   Energy Storage Association, 2019, ENERGY STORAGE CRITI
   Ferguson J., 1994, Ecologist, V24, P176
   Fessenden R.A., 1917, SYSTEM STORING POWER
   Folkers A, 2019, SECUR DIALOGUE, V50, P493, DOI 10.1177/0967010619868385
   Fortun K, 2012, CULT ANTHROPOL, V27, P446, DOI 10.1111/j.1548-1360.2012.01153.x
   Franklin E., 2018, CONVERSATION
   GILBERT CL, 1987, WORLD DEV, V15, P591, DOI 10.1016/0305-750X(87)90005-2
   Graeter S, 2020, AM ANTHROPOL, V122, P21, DOI 10.1111/aman.13367
   Great River Energy, 2015, COOPERATIVE PRINCIPL
   Gupta A, 2015, CULT ANTHROPOL, V30, P555, DOI 10.14506/ca30.4.04
   Hanley S., 2020, WILL FORM ENERGY AQU
   Hannam K., 2006, MOBILITIES-UK, V1, P1, DOI DOI 10.1080/17450100500489189
   Harrison R, 2017, CULT AGRIC FOOD ENVI, V39, P80, DOI 10.1111/cuag.12096
   Harvey PennyHannah Knox., 2015, ROADS ANTHR INFRASTR
   Helm S., 2020, NC CLEAN ENERGY TECH
   Hendon JA, 2000, AM ANTHROPOL, V102, P42, DOI 10.1525/aa.2000.102.1.42
   Hermanson D., 2003, RAYS HOPE RENEWABLE
   Hetherington Kregg., 2019, INFRASTRUCTURE ENV L
   Howe Cymene., 2019, Ecologics: Wind and Power in the Anthropocene
   Hyde T., 2020, KEEPING NET ENERGY M
   Iaconangelo D., 2020, Q A TESLAS EXSTORAGE
   IEA, 2021, ENERGY STORAGE
   Johnson S., 2019, HOUSE BILL NO 4477
   Kaiser D, 2002, HIST STUD PHYS BIOL, V33, P131, DOI 10.1525/hsps.2002.33.1.131
   Keck F., 2017, Cryopolitics: Frozen Life in a Melting World, P117
   Lakoff A, 2007, PUBLIC CULTURE, V19, P247, DOI 10.1215/08992363-2006-035
   LeBlanc B., 2018, DETROIT NEWS    0502
   Lennon M, 2020, SCI TECHNOL HUM VAL, V45, P934, DOI 10.1177/0162243919900556
   Lennon M, 2017, ENERGY RES SOC SCI, V30, P18, DOI 10.1016/j.erss.2017.06.002
   Lewis-Jones KE, 2019, CULT AGRIC FOOD ENVI, V41, P107, DOI 10.1111/cuag.12238
   Mitchell Timothy., 2011, CARBON DEMOCRACY POL
   Morgan Stanley, 2017, FUTURE AUTOMARKET RU
   Mulvaney D., 2019, SOLAR POWER INNOVATI
   Nixon R, 2011, SLOW VIOLENCE ENV PO, DOI [10.4159/harvard.9780674061194, DOI 10.4159/HARVARD.9780674061194]
   Orenstein Dara., 2019, OUT STOCK WAREHOUSE
   Orlandi EC, 2017, J MAT CULT, V22, P19, DOI 10.1177/1359183516662674
   Ortner SB, 2010, ETHNOGRAPHY, V11, P211, DOI 10.1177/1466138110362006
   Ozden-Schilling C., 2016, THESIS MIT
   Ozden-Schilling C., 2021, Current Economy: Electricity Markets and Techno-Economics, P131
   Parag Y, 2016, NAT ENERGY, V1, DOI 10.1038/NENERGY.2016.32
   Parker M, 2013, MOBILITIES-UK, V8, P368, DOI 10.1080/17450101.2012.707892
   Peacock F., 2016, POWERWALL 2 FULL SPE
   Pecht MG, 2006, IEEE T COMPON PACK T, V29, P893, DOI 10.1109/TCAPT.2006.885844
   Peebles G, 2014, AFRICA, V84, P595, DOI 10.1017/S0001972014000485
   Preston B.L., 2016, RESILIENCE US ELECT
   Radin J., 2017, Cryopolitics: Frozen Life in a Melting World
   Radin Joanna., 2017, Life on Ice: A History of New Uses for Cold Blood, DOI DOI 10.7208/CHICAGO/9780226448244.001.0001
   Randle S, 2022, ENVIRON PLAN E-NAT, V5, P2283, DOI 10.1177/25148486211047387
   Reddy, 1967, THESIS PENNSYLVANIA
   Rodrigue JP, 2009, GEOJOURNAL, V74, P1, DOI 10.1007/s10708-008-9210-4
   Schill W.-P., 2019, SOLAR PROSUMAGE EC D, P703
   Shever Elana., 2012, RESOURCES REFORM OIL
   Simpliphi, 2017, GRIDT VS THEM EN STO
   Sioshansi F., 2019, Consumer, prosumer, prosumager: How service innovations will disrupt the utility business model, DOI DOI 10.1016/C2018-0-01192-5
   SmithNorris M, 2016, DOMINATION AND RESISTANCE
   Sperling C., 2018, FUTURE ISLANDS RENEW
   Star SL, 1999, AM BEHAV SCI, V43, P377, DOI 10.1177/00027649921955326
   Tesla, 2017, TESLA POWERPACKS SOL
   Tesla Powerwall Limited Warranty (USA), 2017, US
   THOMPSON EP, 1967, PAST PRESENT, P56, DOI 10.1093/past/38.1.56
   Toffler A., 1980, 3 WAVE
   Tsing AL, 2005, FRICTION: AN ETHNOGRAPHY OF GLOBAL CONNECTION, P1
   Tsing A, 2009, RETHINK MARXISM, V21, P148, DOI 10.1080/08935690902743088
   Turley B, 2022, ENERGY RES SOC SCI, V90, DOI 10.1016/j.erss.2022.102583
   UNESCO, 2020, COVID 19 IMPACT BUSI
   Vannini P, 2015, CULT GEOGR, V22, P637, DOI 10.1177/1474474013516406
   Vidal C, 2019, IEEE T VEH TECHNOL, V68, P4560, DOI 10.1109/TVT.2019.2906487
   Vinen R, 2019, ENGL HIST REV, V134, P121, DOI 10.1093/ehr/cez001
   Von Schnitzler A, 2013, CULT ANTHROPOL, V28, P670, DOI 10.1111/cuan.12032
   Whirlpool, AGLS VIRTUAL POWER P
   Zee JC, 2017, CULT ANTHROPOL, V32, P215, DOI 10.14506/ca32.2.06
NR 99
TC 7
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PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0306-3127
EI 1460-3659
J9 SOC STUD SCI
JI Soc. Stud. Sci.
PD OCT
PY 2022
VL 52
IS 5
BP 689
EP 709
DI 10.1177/03063127221109605
EA JUL 2022
PG 21
WC History & Philosophy Of Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC History & Philosophy of Science
GA 4N7QI
UT WOS:000828851100001
PM 35861201
DA 2025-01-10
ER

PT J
AU Qin, P
   Chen, S
   Tan-Soo, JS
   Zhang, XB
AF Qin, Ping
   Chen, Shuai
   Tan-Soo, Jie-Sheng
   Zhang, Xiao-Bing
TI Urban household water usage in adaptation to climate change: Evidence
   from China
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Water resources; Chinese households; Adaptation
   behaviors
ID AIR-POLLUTION; IMPACTS; WEATHER; CONSUMPTION; RESOURCES; PHOENIX;
   DEMAND; LEARN
AB While it has been concluded that climate change poses a significant threat to worldwide supply of freshwater resources, it is unclear if and how demand for water would also be affected. To fill this knowledge gap, we leverage on 'big data' collected using smart water meters from over 40,000 Chinese urban households, spanning nine years and ten provinces to examine the relationship between daily household water usage and climate variability. At the baseline, we find that municipal water is not only a coping mechanism for heat, but its usage is accelerated during heatwave events. Heterogeneity analyses reveal that households from lower-valued properties are more likely to substitute water for electricity to counter heat. Importantly, we find evidence of adaptation behaviors where over time, households are using increasingly more water to cope with high-temperature days. In all, after feeding our results into climate projection models, it is estimated that household water usage will in-crease by around 7-44% in the long-term (2080-2099) under emissions scenarios of SSP245 and SSP370. Our findings are especially relevant for water-scarce countries such as China as well as developing countries where water is a cheaper and more accessible resource to cope with heat.
C1 [Qin, Ping; Zhang, Xiao-Bing] Renmin Univ China, Sch Appl Econ, Beijing, Peoples R China.
   [Chen, Shuai] Zhejiang Univ, China Acad Rural Dev, Sch Publ Affairs, Hangzhou, Peoples R China.
   [Tan-Soo, Jie-Sheng] Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Singapore, Singapore.
   [Zhang, Xiao-Bing] Tech Univ Denmark, Odense, Denmark.
C3 Renmin University of China; Zhejiang University; National University of
   Singapore; Technical University of Denmark
RP Tan-Soo, JS (corresponding author), Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Singapore, Singapore.
EM jiesheng.tan@nus.edu.sg
RI Zhang, Xiao-Bing/IAQ-6426-2023
OI Zhang, Xiao-Bing/0000-0001-8155-5769
CR Adamowski J, 2012, WATER RESOUR RES, V48, DOI 10.1029/2010WR009945
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Auffhammer M, 2014, FRONT ECON CHINA, V9, P70, DOI 10.3868/s060-003-014-0005-5
   Auffhammer M, 2011, CLIMATIC CHANGE, V109, P191, DOI [10.1007/s10584-011-0299-y, 10.1007/s10584-011-0299-v]
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Berkoff J., 2003, Water Policy, V5, P1
   Boretti A, 2019, NPJ CLEAN WATER, V2, DOI 10.1038/s41545-019-0039-9
   Breyer B, 2012, APPL GEOGR, V35, P142, DOI 10.1016/j.apgeog.2012.06.012
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Cheng HF, 2012, CLIMATIC CHANGE, V112, P253, DOI 10.1007/s10584-011-0042-8
   Cohen B, 2006, TECHNOL SOC, V28, P63, DOI 10.1016/j.techsoc.2005.10.005
   Currie J, 2005, Q J ECON, V120, P1003, DOI 10.1162/003355305774268219
   de Wit M, 2006, SCIENCE, V311, P1917, DOI 10.1126/science.1119929
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Giannakopoulos C, 2016, REG ENVIRON CHANGE, V16, P1891, DOI 10.1007/s10113-015-0885-z
   Guhathakurta S, 2007, J AM PLANN ASSOC, V73, P317, DOI 10.1080/01944360708977980
   Gupta E, 2016, CLIM CHANG ECON, V7, DOI 10.1142/S2010007816500032
   Hamiche AM, 2016, RENEW SUST ENERG REV, V65, P319, DOI 10.1016/j.rser.2016.07.020
   Hannah R., 2018, Urbanization
   Hijioka Y, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1327
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Jiang Y, 2009, J ENVIRON MANAGE, V90, P3185, DOI 10.1016/j.jenvman.2009.04.016
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Li YT, 2019, P NATL ACAD SCI USA, V116, P472, DOI 10.1073/pnas.1804667115
   Liu JG, 2012, SCIENCE, V337, P649, DOI 10.1126/science.1219471
   Liu JG, 2013, GLOBAL ENVIRON CHANG, V23, P633, DOI 10.1016/j.gloenvcha.2013.02.002
   MAIDMENT DR, 1986, WATER RESOUR RES, V22, P845, DOI 10.1029/WR022i006p00845
   Martinez-Espiñeira R, 2002, ENVIRON RESOUR ECON, V21, P161, DOI 10.1023/A:1014547616408
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Pielke R., PREPRINT, DOI [10.31235/osf.io/m4fdu, DOI 10.31235/OSF.IO/M4FDU]
   Praskievicz S, 2009, PHYS GEOGR, V30, P324, DOI 10.2747/0272-3646.30.4.324
   Ruth M, 2007, WATER RESOUR MANAG, V21, P1031, DOI 10.1007/s11269-006-9071-x
   Salvo A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07833-3
   Schlenker W, 2016, REV ECON STUD, V83, P768, DOI 10.1093/restud/rdv043
   Tao FL, 2005, CLIMATIC CHANGE, V68, P169, DOI 10.1007/s10584-005-6013-1
   Thornton HE, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/11/114015
   UN (United Nations), 2020, WORLD SOC REP
   United Nations, 2018, WAST NAT BAS SOL WAT
   United Nations Department of Economic and Social Affairs Population Division, 2019, World Urbanization Prospects: the 2018 Revision (ST/ESA/SER.A/420)
   Webber M, 2017, REG STUD, V51, P370, DOI 10.1080/00343404.2016.1265647
   Wenz L, 2017, P NATL ACAD SCI USA, V114, pE7910, DOI 10.1073/pnas.1704339114
   Wong JS, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008147
   Wooldridge J.M., 2013, Introductory econometrics: a modern approach
   Zhang QF, 2009, J AM WATER RESOUR AS, V45, P1238, DOI 10.1111/j.1752-1688.2009.00357.x
   Zhou F, 2020, P NATL ACAD SCI USA, V117, P7702, DOI 10.1073/pnas.1909902117
NR 46
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PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
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J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD OCT
PY 2022
VL 136
BP 486
EP 496
DI 10.1016/j.envsci.2022.07.019
EA JUL 2022
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 3M0PM
UT WOS:000835159800005
DA 2025-01-10
ER

PT J
AU Birthal, PS
   Hazrana, J
   Negi, DS
   Bhan, SC
AF Birthal, Pratap S.
   Hazrana, Jaweriah
   Negi, Digvijay S.
   Bhan, Subhash C.
TI Climate change and land-use in Indian agriculture
SO LAND USE POLICY
LA English
DT Article
DE Climate change; crop yields; comparative advantage; land use; India
ID CROP DIVERSIFICATION; PANEL-DATA; FARMERS; ADAPTATION; CHOICE; SHOCKS;
   IMPACT; YIELD; MODEL
AB Using spatially disaggregated district-level data from India, this study has investigated the impact of climate change, especially rising temperature, on land use in agriculture or cropping patterns, presupposing that climate change influences farmers' acreage allocation decisions via its effects on crops' comparative yield advantage. The findings show that excess temperature negatively impacts crop yields, and the impact is higher in the plausible future climate scenarios. Under the greenhouse gas representative concentration pathway RCP4.5, the yields of different crops are lower by 1.8 to 6.6% in the medium-term (2041-2060) and 7.2 to 23.6% in the long-term (2061-2080). The heterogeneity in the crops' yield response to temperature, however, does not lead to any notable intra- and inter-regional shifts in the cropping patterns. The area shares of different crops decline by 0.1 to 0.4 percentage points in the medium-term and 0.4 to 1.3 percentage points in the long-term. This evidence suggests limited prospects for adaptation to climate change through adjustments in land use. The future adaptation strategies should, therefore, be built around the innovations in crop breeding for stress tolerance, higher yields and resource-use efficiency, management of land and water resources, and formal risk-mitigating mechanisms such as crop insurance and hedging.
C1 [Birthal, Pratap S.; Hazrana, Jaweriah] ICAR Natl Inst Agr Econ & Policy Res, New Delhi 110012, India.
   [Negi, Digvijay S.] Indira Gandhi Inst Dev Res, Mumbai 400065, Maharashtra, India.
   [Bhan, Subhash C.] Govt India, Minist Earth Sci, India Meteorol Dept, New Delhi 110003, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - National
   Institute of Agricultural Economics & Policy Research; Ministry of Earth
   Sciences (MoES) - India; India Meteorological Department (IMD)
RP Birthal, PS (corresponding author), ICAR Natl Inst Agr Econ & Policy Res, New Delhi 110012, India.
EM ps.birthal@icar.gov.in
RI Birthal, Pratap/Q-7459-2019; Negi, Digvijay/IQT-0744-2023; HAZRANA,
   JAWERIAH/AAV-6226-2020
OI Negi, Digvijay/0000-0002-9249-2748; Pandey, Alok
   Kumar/0000-0001-5604-3243
FU Indian Council of Agricultural Research (ICAR)
FX Authors are grateful to the Indian Council of Agricultural Research
   (ICAR) for financial support for this research under the National
   Professorial Chair to the first author.
CR Acharya RN, 2018, CLIMATE, V6, DOI 10.3390/cli6020032
   Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   [Anonymous], 2013, A Report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics
   [Anonymous], 2010, Conserv Agric Newsletter
   ARELLANO M, 1991, REV ECON STUD, V58, P277, DOI 10.2307/2297968
   ARELLANO M, 1995, J ECONOMETRICS, V68, P29, DOI 10.1016/0304-4076(94)01642-D
   Arora G, 2020, AGR ECON-BLACKWELL, V51, P221, DOI 10.1111/agec.12551
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Baltagi B., 2001, The econometrics of panel data, V2nd
   Bhattamishra R, 2010, WORLD DEV, V38, P923, DOI 10.1016/j.worlddev.2009.12.017
   Birthal P. S., 2014, Indian Journal of Agricultural Economics, V69, P474
   Birthal PS, 2021, CLIM DEV, V13, P895, DOI 10.1080/17565529.2020.1867045
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Birthal PS, 2015, WORLD DEV, V72, P70, DOI 10.1016/j.worlddev.2015.02.015
   Blundell R, 1998, J ECONOMETRICS, V87, P115, DOI 10.1016/S0304-4076(98)00009-8
   Cameron A.C., 2009, MICROECONOMETRICS US, V5
   Cariappa AGA, 2021, AGRIC FINANCE REV, V81, P204, DOI 10.1108/AFR-03-2020-0034
   Chaturvedi RK, 2012, CURR SCI INDIA, V103, P791
   Cho SJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40845
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Edwards D.C., 1997, Characteristics of 20th century drought in the United States at multiple time scales
   Haim D, 2011, CLIM CHANG ECON, V2, P27, DOI 10.1142/S2010007811000218
   Hayes MJ, 1999, B AM METEOROL SOC, V80, P429, DOI 10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2
   Jodha N.S., 2012, WORKING PAPER SERIES, V32
   Kaminski J, 2013, AM J AGR ECON, V95, P70, DOI 10.1093/ajae/aas075
   Kaufmann RK, 1997, AM J AGR ECON, V79, P178, DOI 10.2307/1243952
   Khatri-Chhetri A, 2016, CURR SCI INDIA, V110, P1251
   Kumar P., 2017, INT TRADE FOOD SECUR
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lotsch A., 2007, SENSITIVITY CROPPING, DOI [10.1596/1813-9450-4289, DOI 10.1596/1813-9450-4289]
   Lybbert T. J., 2010, AgBioForum, V13, P13
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Mu JHE, 2018, LAND USE POLICY, V77, P392, DOI 10.1016/j.landusepol.2018.05.057
   Mu JHE, 2017, CLIMATIC CHANGE, V144, P329, DOI 10.1007/s10584-017-2033-x
   Mullahy John, 2015, J Econom Method, V4, P71, DOI 10.1515/jem-2012-0006
   Mulubrhan A., 2018, IFPRI DISCUSSION PAP
   Ramachandran A, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0180706
   Rashford BS, 2011, CONSERV BIOL, V25, P276, DOI 10.1111/j.1523-1739.2010.01618.x
   Roodman D, 2009, STATA J, V9, P86, DOI 10.1177/1536867X0900900106
   Sanjay J, 2020, ASSESSMENT CLIMATE C, P21, DOI [10.1007/978-981-15-4327-2_2, DOI 10.1007/978-981-15-4327-2_2]
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Taraz V, 2018, WORLD DEV, V112, P205, DOI 10.1016/j.worlddev.2018.08.006
   Vishnoi L, 2020, J AGROMETEOROL, V22, P101
   Wang JX, 2010, CLIM CHANG ECON, V1, P167, DOI 10.1142/S2010007810000145
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
   Wu JJ, 2004, AM J AGR ECON, V86, P26, DOI 10.1111/j.0092-5853.2004.00560.x
   Xu Z, 2013, CROP SCI, V53, P735, DOI 10.2135/cropsci2012.06.0399
   Zampieri M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa723b
   Zaveri E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12183-9
   Zilberman D., 2018, Climate smart agriculture: building resilience to climate change, P49
NR 53
TC 14
Z9 14
U1 4
U2 34
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 OCT
PY 2021
VL 109
AR 105652
DI 10.1016/j.landusepol.2021.105652
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WC1EN
UT WOS:000704007200001
DA 2025-01-10
ER

PT J
AU Yokohata, T
   Iwahana, G
   Sone, T
   Saito, K
   Ishizaki, NN
   Kubo, T
   Oguma, H
   Uchida, M
AF Yokohata, Tokuta
   Iwahana, Go
   Sone, Toshio
   Saito, Kazuyuki
   Ishizaki, Noriko N.
   Kubo, Takahiro
   Oguma, Hiroyuki
   Uchida, Masao
TI Projections of surface air temperature required to sustain permafrost
   and importance of adaptation to climate change in the Daisetsu
   Mountains, Japan
SO SCIENTIFIC REPORTS
LA English
DT Article
ID MONT-BLANC MASSIF; BIAS-CORRECTION; MODEL; DEGRADATION; PLATEAU; ALPS;
   MAP; VARIABILITY; EVOLUTION; HOKKAIDO
AB Permafrost is known to occur in high mountainous areas such as the Daisetsu Mountains in Japan, which are located at the southernmost limit of the permafrost distribution in the world. In this study, areas with climatic conditions suitable for sustaining permafrost in the Daisetsu Mountains are projected using bias-corrected and downscaled climate model outputs and statistical relationships between surface air temperatures and permafrost areas. Using freezing and thawing indices, the size of the area in the Daisetsu Mountains where climatic conditions were suitable for permafrost were estimated to be approximately 150 km(2) in 2010. Under the RCP8.5 scenario, this area is projected to decrease to about 30 km(2) by 2050 and it is projected to disappear by around 2070. Under the RCP2.6 scenario, the area is projected to decrease to approximately 20 km(2) by 2100. The degradation of mountain permafrost could potentially affect the stability of trekking trails due to slope displacement, and it may also have deleterious effects on current alpine ecosystems. It is therefore important to accurately monitor changes in the mountain ecosystem environment and to implement measures to adapt to an environment that is projected to change significantly in the future.
C1 [Yokohata, Tokuta; Iwahana, Go; Uchida, Masao] Natl Inst Environm Studies, Earth Syst Div, Tsukuba, Ibaraki, Japan.
   [Iwahana, Go] Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK USA.
   [Sone, Toshio] Hokkaido Univ, Inst Low Temp Sci, Sapporo, Hokkaido, Japan.
   [Saito, Kazuyuki] Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokohama, Kanagawa, Japan.
   [Ishizaki, Noriko N.] Natl Inst Environm Studies, Ctr Climate Change Adaptat, Tsukuba, Ibaraki, Japan.
   [Kubo, Takahiro; Oguma, Hiroyuki] Natl Inst Environm Studies, Biodivers Div, Tsukuba, Ibaraki, Japan.
   [Kubo, Takahiro] Univ Oxford, Dept Zool, Oxford, England.
   [Kubo, Takahiro] Durrell Inst Conservat & Ecol DICE, Sch Anthropol & Conservat, Canterbury, Kent, England.
C3 National Institute for Environmental Studies - Japan; University of
   Alaska System; University of Alaska Fairbanks; Hokkaido University;
   Japan Agency for Marine-Earth Science & Technology (JAMSTEC); National
   Institute for Environmental Studies - Japan; National Institute for
   Environmental Studies - Japan; University of Oxford
RP Yokohata, T (corresponding author), Natl Inst Environm Studies, Earth Syst Div, Tsukuba, Ibaraki, Japan.
EM yokohata@nies.go.jp
RI Iwahana, Go/I-3500-2018; Ishizaki, Noriko/G-8850-2019; Uchida,
   Masao/C-3673-2013; Yokohata, Tokuta/N-4540-2019
FU TOUGOU, the "Integrated Research Program for Advancing Climate Models"
   of the Ministry of Education, Culture, Sports, Science and Technology of
   Japan [JPMXD0717935715]; Climate Change Adaptation research programs at
   National Institute for Environmental Studies; JSPS KAKENHI [18H03353,
   25350417]; Arctic Challenge for Sustainability II (ArCS II)
   [JPMXD1420318865]; Decarbonized and Sustainable Society Research Program
   at National Institute for Environmental Studies; Grants-in-Aid for
   Scientific Research [18H03353] Funding Source: KAKEN
FX We gratefully acknowledge helpful discussions with Dr. Kiyoshi
   Takahashi. This work is supported by TOUGOU, the "Integrated Research
   Program for Advancing Climate Models" of the Ministry of Education,
   Culture, Sports, Science and Technology of Japan (Grant Number
   JPMXD0717935715). This work was supported by Climate Change Adaptation
   research programs at National Institute for Environmental Studies.
   Acquisition of permafrost observation data was supported by JSPS KAKENHI
   (18H03353). T.S. was supported by JSPS KAKENHI (25350417). This work was
   partially supported by the Arctic Challenge for Sustainability II (ArCS
   II), Program Grant Number JPMXD1420318865.This work was partially
   supported by the Decarbonized and Sustainable Society Research Program
   at National Institute for Environmental Studies.
CR Abe T, 2020, EARTH PLANETS SPACE, V72, DOI 10.1186/s40623-020-01266-3
   Amante C., 2009, ETOPO1 ARC MINUTE GL, DOI 10.7289/V5C8276M
   Anisimov OA, 1997, CLIMATIC CHANGE, V35, P241, DOI 10.1023/A:1005315409698
   Aoyama M, 2005, J QUATERNARY SCI, V20, P471, DOI 10.1002/jqs.935
   Azócar GF, 2017, CRYOSPHERE, V11, P877, DOI 10.5194/tc-11-877-2017
   Bentsen M, 2013, GEOSCI MODEL DEV, V6, P687, DOI 10.5194/gmd-6-687-2013
   Bodin X, 2009, PERMAFROST PERIGLAC, V20, P331, DOI 10.1002/ppp.665
   Boeckli L, 2012, CRYOSPHERE, V6, P807, DOI 10.5194/tc-6-807-2012
   Bonnaventure PP, 2012, PERMAFROST PERIGLAC, V23, P52, DOI 10.1002/ppp.1733
   Chadburn SE, 2017, NAT CLIM CHANGE, V7, P340, DOI [10.1038/nclimate3262, 10.1038/NCLIMATE3262]
   Christiansen HH, 2010, PERMAFROST PERIGLAC, V21, P156, DOI 10.1002/ppp.687
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Fiddes J, 2012, GEOSCI MODEL DEV, V5, P1245, DOI 10.5194/gmd-5-1245-2012
   Frauenfeld OW, 2007, INT J CLIMATOL, V27, P47, DOI 10.1002/joc.1372
   FUKUDA M, 1992, GEOGR ANN A, V74, P159, DOI 10.2307/521293
   Fukuda M., 1974, QUAT RES DAIYONKI KE, V12, P192, DOI [10.4116/jaqua.12.192, DOI 10.4116/JAQUA.12.192]
   Fukui K., 2000, Seppyo, V62, P23, DOI DOI 10.5331/SEPPYO.62.23
   Gasser T, 2018, NAT GEOSCI, V11, P830, DOI 10.1038/s41561-018-0227-0
   Gleckler PJ, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008972
   Gruber S, 2007, J GEOPHYS RES-EARTH, V112, DOI 10.1029/2006JF000547
   Gruber S, 2012, CRYOSPHERE, V6, P221, DOI 10.5194/tc-6-221-2012
   Haeberli W, 2017, GEOMORPHOLOGY, V293, P405, DOI 10.1016/j.geomorph.2016.02.009
   Haerter JO, 2011, HYDROL EARTH SYST SC, V15, P1065, DOI 10.5194/hess-15-1065-2011
   HARRIS SA, 1981, ARCTIC, V34, P64
   HIGUCHI K, 1971, NATURE, V230, P521, DOI 10.1038/230521a0
   Hilbich C, 2008, J GEOPHYS RES-EARTH, V113, DOI 10.1029/2007JF000799
   Hock R., 2019, Special Report on the Ocean and Cryosphere in a Changing Climate Chapter 2: High Mountain Areas
   Iizumi T, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017197
   Iizumi T, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014513
   Iizumi Toshichika, 2010, Journal of Agricultural Meteorology, V66, P131, DOI 10.2480/agrmet.66.2.5
   Ikeda A, 2010, J GEOGR-TOKYO, V119, P917, DOI 10.5026/jgeography.119.917
   Ishikawa M, 2000, PERMAFROST PERIGLAC, V11, P109, DOI 10.1002/1099-1530(200004/06)11:2<109::AID-PPP343>3.0.CO;2-O
   Ishizaki NN, 2020, SOLA, V16, P80, DOI 10.2151/sola.2020-014
   Iwahana G., 2008, P 9 INT C PERMAFR FA, P809
   Iwahana G, 2011, JSSI JSSE JOINT C, DOI [10.14851/jcsir.2011.0.88.0, DOI 10.14851/JCSIR.2011.0.88.0]
   Iwahana G, 2016, J GEOPHYS RES-EARTH, V121, P1697, DOI 10.1002/2016JF003921
   Jin HJ, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/045206
   Jones CD, 2011, GEOSCI MODEL DEV, V4, P543, DOI 10.5194/gmd-4-543-2011
   Jones DB, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21244-w
   Krautblatter M, 2013, EARTH SURF PROC LAND, V38, P876, DOI 10.1002/esp.3374
   Kubo T, 2018, ECOL ECON, V144, P124, DOI 10.1016/j.ecolecon.2017.07.032
   Kubo T, 2016, J OUTDO RECREAT TOUR, V16, P44, DOI 10.1016/j.jort.2016.09.004
   Kubo T, 2014, EUR J WILDLIFE RES, V60, P501, DOI 10.1007/s10344-014-0812-5
   Kudo G, 2017, ALPINE BOT, V127, P75, DOI 10.1007/s00035-016-0178-2
   Lacelle D, 2015, GEOMORPHOLOGY, V235, P40, DOI 10.1016/j.geomorph.2015.01.024
   Lamontagne-Hallé P, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad404
   Levavasseur G, 2011, CLIM PAST, V7, P1225, DOI 10.5194/cp-7-1225-2011
   Lu Q, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04140-7
   Magnin F, 2017, CRYOSPHERE, V11, P1813, DOI 10.5194/tc-11-1813-2017
   Marmy A, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035048
   Marmy A, 2016, CRYOSPHERE, V10, P2693, DOI 10.5194/tc-10-2693-2016
   Mourey J, 2019, ARCT ANTARCT ALP RES, V51, P176, DOI 10.1080/15230430.2019.1612216
   Ohno H., 2016, Climate in Biosphere, V16, P71, DOI [10.2480/cib.J-16-028, DOI 10.2480/CIB.J-16-028]
   Patton AI, 2019, GEOMORPHOLOGY, V340, P116, DOI 10.1016/j.geomorph.2019.04.029
   Purdie H, 2015, NEW ZEAL GEOGR, V71, P189, DOI 10.1111/nzg.12091
   Ravanel L, 2010, LANDSLIDES, V7, P493, DOI 10.1007/s10346-010-0206-z
   Saito K, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-020-00345-z
   Saito K, 2014, BOREAS, V43, P733, DOI 10.1111/bor.12038
   Schuur EAG, 2015, NATURE, V520, P171, DOI 10.1038/nature14338
   Shen YJ, 2018, J HYDROL, V557, P173, DOI 10.1016/j.jhydrol.2017.12.035
   Sloat LL, 2015, ECOSYSTEMS, V18, P533, DOI 10.1007/s10021-015-9845-1
   SONE T, 1992, PERMAFROST AND PERIGLACIAL PROCESSES, VOL 3, NO 3, JUL-SEPT 1992, P235, DOI 10.1002/ppp.3430030311
   Sone T, 1990, ENV SCI HOKKAIDO U, V13, P1
   Sone T., 2018, HOKK P GEN M ASS JAP, P87, DOI [10.14866/ajg.2018s.0_000320, DOI 10.14866/AJG.2018S.0_000320]
   Sone T, 1993, 6 INT C PERM BEIJ CH, V2, P1231
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Temme AJAM, 2015, GEOGR ANN A, V97, P793, DOI 10.1111/geoa.12116
   Trujillo E, 2012, NAT GEOSCI, V5, P705, DOI [10.1038/ngeo1571, 10.1038/NGEO1571]
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P1, DOI 10.1007/s10584-011-0157-y
   von Deimling TS, 2015, BIOGEOSCIENCES, V12, P3469, DOI 10.5194/bg-12-3469-2015
   Wang XY, 2016, GLOBAL PLANET CHANGE, V147, P40, DOI 10.1016/j.gloplacha.2016.10.014
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Wei M, 2006, LANDSLIDES, V3, P260, DOI 10.1007/s10346-006-0045-0
   Westermann S, 2015, CRYOSPHERE, V9, P1303, DOI 10.5194/tc-9-1303-2015
   Yang MX, 2010, EARTH-SCI REV, V103, P31, DOI 10.1016/j.earscirev.2010.07.002
   Yang Y, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2233
   Yang Z., 2010, Acta Ecologica Sinica, V30, P33, DOI DOI 10.1016/J.CHNAES.2009.12.006
   Yokohata T, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-020-00366-8
   Yokohata T, 2013, CLIM DYNAM, V41, P2745, DOI 10.1007/s00382-013-1733-9
   Yonemura S, 2019, POLAR SCI, V19, P137, DOI 10.1016/j.polar.2019.01.003
   Yoshimori M, 2017, CLIM DYNAM, V49, P3457, DOI 10.1007/s00382-017-3523-2
   Yukimoto S, 2012, J METEOROL SOC JPN, V90A, P23, DOI 10.2151/jmsj.2012-A02
   Zou DF, 2017, CRYOSPHERE, V11, P2527, DOI 10.5194/tc-11-2527-2017
NR 83
TC 6
Z9 6
U1 0
U2 4
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUL 30
PY 2021
VL 11
IS 1
AR 15518
DI 10.1038/s41598-021-94222-4
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA TX8CZ
UT WOS:000683316000003
PM 34330943
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Yu, XP
   Yu, KF
   Chen, B
   Liao, ZH
   Qin, ZJ
   Yao, QC
   Huang, YH
   Liang, JY
   Huang, W
AF Yu, Xiaopeng
   Yu, Kefu
   Chen, Biao
   Liao, Zhiheng
   Qin, Zhenjun
   Yao, Qiucui
   Huang, Yanhua
   Liang, Jiayuan
   Huang, Wen
TI Nanopore long-read RNAseq reveals regulatory mechanisms of thermally
   variable reef environments promoting heat tolerance of scleractinian
   coral <i>Pocillopora damicornis</i>
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Scleractinian coral; Global warming; Adaptation; Nanopore-based RNA
   sequencing; Non-coding RNA
ID NONCODING RNAS; ANNOTATION; GENOME; OXYGEN; IDENTIFICATION; ABALONE;
   SYSTEM
AB Some scleractinian corals exhibit high thermal adaptability to climate changes, although the mechanism of their adaptation is unclear. This study investigated the adaptability of scleractinian coral Pocillopora damicornis to thermally variable reef environments by applying a nanopore-based RNA sequencing method to characterize different transcription responses that promote heat tolerance of P. damicornis. We identified 1414 novel genes and optimized 6256 mis-annotated loci. Based on full-length transcriptome data, we identified complex alternative polyadenylation and alternative splicing events, which can improve our understanding of the genome annotation and gene structures of P. damicornis. Furthermore, we constructed differentially expressed lncRNA-mRNA co-expression networks, which may play a crucial role in the P. damicornis thermal adaptive response. KEGG function enrichment analysis revealed that P. damicornis from the high-temperature pool had a lower metabolic rate than that from the low-temperature pool. We hypothesize that metabolic readjustment, in the form of a lower metabolic rate, positively correlated with increased heat tolerance in P. damicornis in thermally variable reef environments. Our study provides novel insights into lncRNAs that promote thermally tolerance of scleractinian corals in the thermally variable reef environment, suggesting potential mechanisms for their adaptation to global warming in the future.
C1 [Yu, Xiaopeng; Yu, Kefu; Chen, Biao; Liao, Zhiheng; Qin, Zhenjun; Yao, Qiucui; Huang, Yanhua; Liang, Jiayuan; Huang, Wen] Guangxi Univ, Coral Reef Res Ctr China, Sch Marine Sci, Guangxi Lab Study Coral Reefs South China Sea, Nanning, Peoples R China.
   [Yu, Kefu] Southern Marine Sci & Engn Guangdong Lab, Zhuhai, Peoples R China.
C3 Guangxi University
RP Yu, KF (corresponding author), Guangxi Univ, Guangxi Lab Study Coral Reefs South China Sea, Nanning, Peoples R China.
EM kefuyu@scsio.ac.cn
RI Yu, Feng/U-9998-2019; huang, wen/GXW-0661-2022; Hung,
   Chun-Hsiung/D-5521-2009
OI Yu, Xiaopeng/0000-0003-2063-3481; Huang, Wen/0009-0005-9289-7074
FU National Natural Science Foundation of China [42090041, 42030502];
   Guangxi scientific projects [AA17204074, AD17129063]; BaGui Scholars
   Program Foundation [2014BGXZGX03]; Innovation Project of Guangxi
   Graduate Education [YCBZ2020006]
FX This work was supported by the National Natural Science Foundation of
   China (Nos. 42090041 and 42030502), the Guangxi scientific projects
   (No.AD17129063 and AA17204074), the BaGui Scholars Program Foundation
   (No. 2014BGXZGX03), and the Innovation Project of Guangxi Graduate
   Education (No. YCBZ2020006).
CR Abdel-Ghany SE, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11706
   Anders S., 2010, GENOME BIOL, V11, pR106, DOI DOI 10.1186/gb-2010-11-10-r106
   Backes C, 2007, NUCLEIC ACIDS RES, V35, pW186, DOI 10.1093/nar/gkm323
   Barbazuk WB, 2008, GENOME RES, V18, P1381, DOI 10.1101/gr.053678.106
   Barshis DJ, 2013, P NATL ACAD SCI USA, V110, P1387, DOI 10.1073/pnas.1210224110
   Bay RA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701413
   Beiki H, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5709-y
   Briggs JA, 2015, NEURON, V88, P861, DOI 10.1016/j.neuron.2015.09.045
   Cappello T, 2020, EMAGRES, V9, P81, DOI 10.1002/9780470034590.emrstm1604
   Chauton MS, 2015, BIOL OPEN, V4, P1671, DOI 10.1242/bio.014431
   Chen H., 2020, LONG READ TRANSCRIPT, DOI [10.1101/2020.0311.987271, DOI 10.1101/2020.0311.987271]
   Contreras-Cubas C, 2012, PLANTA, V236, P943, DOI 10.1007/s00425-012-1693-z
   Cui JW, 2020, PLANT METHODS, V16, DOI 10.1186/s13007-020-00629-x
   Cunning R, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-34459-8
   DeVantier L., 2000, P INT WORKSH EXT IMP
   Ellis RP, 2014, ENVIRON SCI TECHNOL, V48, P7044, DOI 10.1021/es501601w
   Fernandez-Valverde SL, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1588-z
   Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
   Foissac S, 2007, NUCLEIC ACIDS RES, V35, pW297, DOI 10.1093/nar/gkm311
   Frieler K, 2013, NAT CLIM CHANGE, V3, P165, DOI 10.1038/NCLIMATE1674
   Graveley BR, 2011, NATURE, V471, P473, DOI 10.1038/nature09715
   Hammer KM, 2012, COMP BIOCHEM PHYS D, V7, P292, DOI 10.1016/j.cbd.2012.06.001
   Han DX, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17996-6
   Han MW, 2020, J HAZARD MATER, V384, DOI 10.1016/j.jhazmat.2019.121299
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hu HY, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.00048
   Huang BY, 2016, MAR BIOTECHNOL, V18, P598, DOI 10.1007/s10126-016-9720-x
   Huang C, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5429-3
   Huang C, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02561-y
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   Huo D, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136045
   Iida K, 2004, NUCLEIC ACIDS RES, V32, P5096, DOI 10.1093/nar/gkh845
   Izral NM, 2018, ENVIRON SCI POLLUT R, V25, P36184, DOI 10.1007/s11356-018-3518-5
   Jafarabadi AR, 2020, CHEMOSPHERE, V251, DOI 10.1016/j.chemosphere.2020.126397
   Jafarabadi AR, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.133969
   Kalsotra A, 2011, NAT REV GENET, V12, P715, DOI 10.1038/nrg3052
   Kenkel CD, 2013, MOL ECOL, V22, P4322, DOI 10.1111/mec.12390
   Kenkel CD, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-016-0014
   Kim E, 2007, NUCLEIC ACIDS RES, V35, P125, DOI 10.1093/nar/gkl924
   Kirk NL, 2018, MOL ECOL, V27, P5180, DOI 10.1111/mec.14934
   Kong L, 2007, NUCLEIC ACIDS RES, V35, pW345, DOI 10.1093/nar/gkm391
   Koonin EV, 2016, BMC BIOL, V14, DOI 10.1186/s12915-016-0338-2
   Labadorf A, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-114
   Lardon I, 2013, METABOLOMICS, V9, P1216, DOI 10.1007/s11306-013-0540-y
   Leung A, 2013, CIRC RES, V113, P266, DOI 10.1161/CIRCRESAHA.112.300849
   Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
   Li JW, 2015, BRIEF BIOINFORM, V16, P806, DOI 10.1093/bib/bbu048
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Long YC, 2017, SCI ADV, V3, DOI 10.1126/sciadv.aao2110
   Marquez Y, 2012, GENOME RES, V22, P1184, DOI 10.1101/gr.134106.111
   Matz MV, 2019, BIORXIV722314, DOI [10.1101/722314, DOI 10.1101/722314]
   May MA, 2017, METABOLITES, V7, DOI 10.3390/metabo7030033
   Mohamed AR, 2016, MOL ECOL, V25, P3127, DOI 10.1111/mec.13659
   Morris KV, 2014, NAT REV GENET, V15, P423, DOI 10.1038/nrg3722
   Nagalakshmi U, 2008, SCIENCE, V320, P1344, DOI 10.1126/science.1158441
   Nakaminami K, 2012, BBA-GENE REGUL MECH, V1819, P149, DOI 10.1016/j.bbagrm.2011.07.015
   Nam DK, 2002, P NATL ACAD SCI USA, V99, P6152, DOI 10.1073/pnas.092140899
   Ner-Gaon H, 2004, PLANT J, V39, P877, DOI 10.1111/j.1365-313X.2004.02172.x
   Niknafs YS, 2017, NAT METHODS, V14, P68, DOI [10.1038/NMETH.4078, 10.1038/nmeth.4078]
   Oliver TA, 2011, CORAL REEFS, V30, P429, DOI 10.1007/s00338-011-0721-y
   Peñaflor EL, 2009, CORAL REEFS, V28, P841, DOI 10.1007/s00338-009-0522-8
   Pörtner HO, 2010, J EXP BIOL, V213, P881, DOI 10.1242/jeb.037523
   Ponting CP, 2009, CELL, V136, P629, DOI 10.1016/j.cell.2009.02.006
   Ramani AK, 2011, GENOME RES, V21, P342, DOI 10.1101/gr.114645.110
   Reddy ASN, 2013, PLANT CELL, V25, P3657, DOI 10.1105/tpc.113.117523
   Rodrigues LJ, 2007, LIMNOL OCEANOGR, V52, P1874, DOI 10.4319/lo.2007.52.5.1874
   Rosenblum ES, 2005, METABOLOMICS, V1, P199, DOI 10.1007/s11306-005-4428-3
   Safaie A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04074-2
   Schoepf V, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00245
   Schröer M, 2009, J EXP MAR BIOL ECOL, V372, P22, DOI 10.1016/j.jembe.2009.02.001
   Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
   Shao YN, 2015, AQUACULTURE, V435, P390, DOI 10.1016/j.aquaculture.2014.10.023
   Shen YT, 2014, PLANT CELL, V26, P996, DOI 10.1105/tpc.114.122739
   Shepard PJ, 2011, RNA, V17, P761, DOI 10.1261/rna.2581711
   Sherstnev A, 2012, NAT STRUCT MOL BIOL, V19, P845, DOI 10.1038/nsmb.2345
   Sokolova IM, 2012, MAR ENVIRON RES, V79, P1, DOI 10.1016/j.marenvres.2012.04.003
   Solé C, 2015, CURR GENET, V61, P299, DOI 10.1007/s00294-014-0453-y
   Sully S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09238-2
   Sun L, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gkt646
   Tang J, 2021, J HAZARD MATER, V404, DOI 10.1016/j.jhazmat.2020.124205
   Tang J, 2018, ENVIRON POLLUT, V243, P66, DOI 10.1016/j.envpol.2018.08.045
   Tuffnail W, 2009, METABOLOMICS, V5, P33, DOI 10.1007/s11306-008-0143-1
   Ulitsky I, 2016, NAT REV GENET, V17, P601, DOI 10.1038/nrg.2016.85
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   Venter L, 2018, METABOLOMICS, V14, DOI 10.1007/s11306-018-1346-8
   Viant MR, 2003, FISH PHYSIOL BIOCHEM, V29, P159, DOI 10.1023/B:FISH.0000035938.92027.81
   Wang J, 2017, GENES-BASEL, V8, DOI 10.3390/genes8120366
   Wang JJ, 2017, GENOM PROTEOM BIOINF, V15, P301, DOI 10.1016/j.gpb.2017.01.007
   Wang L, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gkt006
   Wellband KW, 2017, EVOL APPL, V10, P563, DOI 10.1111/eva.12463
   Wittmann AC, 2008, CLIM RES, V37, P227, DOI 10.3354/cr00763
   Wu XH, 2011, P NATL ACAD SCI USA, V108, P12533, DOI 10.1073/pnas.1019732108
   Xiang N, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.07.280
   Xiang N, 2018, ECOTOX ENVIRON SAFE, V152, P8, DOI 10.1016/j.ecoenv.2018.01.006
   Xie C, 2011, NUCLEIC ACIDS RES, V39, pW316, DOI 10.1093/nar/gkr483
   Xu ZC, 2015, PLANT J, V82, P951, DOI 10.1111/tpj.12865
   Yang TH, 2020, ENVIRON POLLUT, V264, DOI 10.1016/j.envpol.2020.114719
   Ye YF, 2014, J AGR FOOD CHEM, V62, P3496, DOI 10.1021/jf405668a
   Yu XP, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139319
   Yu XP, 2017, GENE, V637, P108, DOI 10.1016/j.gene.2017.09.040
   Yuan C, 2017, MAR POLLUT BULL, V114, P46, DOI 10.1016/j.marpolbul.2016.08.036
   Zhang GJ, 2010, GENOME RES, V20, P646, DOI 10.1101/gr.100677.109
   Zhang QM, 2001, CHINESE SCI BULL, V46, P97, DOI 10.1007/BF03187245
   Zhang W, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098958
   Zhang Y, 2017, MAR POLLUT BULL, V114, P84, DOI 10.1016/j.marpolbul.2016.08.066
   Zhao LZ, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00253
   Zhao MX, 2014, CORAL REEFS, V33, P39, DOI 10.1007/s00338-013-1109-y
   Zhou XB, 2014, NUCLEIC ACIDS RES, V42, DOI 10.1093/nar/gku310
   Zhou Z, 2018, AQUAT TOXICOL, V194, P132, DOI 10.1016/j.aquatox.2017.11.013
   Zhou Z, 2017, MAR POLLUT BULL, V118, P319, DOI 10.1016/j.marpolbul.2017.03.018
NR 110
TC 15
Z9 16
U1 6
U2 54
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 2021
VL 195
AR 110782
DI 10.1016/j.envres.2021.110782
EA FEB 2021
PG 10
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA RM0BZ
UT WOS:000639328800068
PM 33503412
DA 2025-01-10
ER

PT J
AU Nelson, JT
   Motamayor, JC
   Cornejo, OE
AF Nelson, Joel T.
   Motamayor, Juan C.
   Cornejo, Omar E.
TI Environment and pathogens shape local and regional adaptations to
   climate change in the chocolate tree, <i>Theobroma cacao</i> L.
SO MOLECULAR ECOLOGY
LA English
DT Article
DE biodiversity; climate change; domestication; gene-environment
   associations; plant evolution; population genetics; selection; selective
   sweeps
ID FROSTY POD ROT; SELECTIVE SWEEPS; WITCHES-BROOM; DROUGHT; ASSOCIATION;
   DIVERGENCE; TOLERANCE; DIVERSITY; SIGNATURE; EVOLUTION
AB Predicting the potential fate of a species in the face of climate change requires knowing the distribution of molecular adaptations across the geographic range of the species. In this work, we analysed 79 genomes of Theobroma cacao, an Amazonian tree known for the fruit from which chocolate is produced, to evaluate how local and regional molecular signatures of adaptation are distributed across the natural range of the species. We implemented novel techniques that incorporate summary statistics from multiple selection scans to infer selective sweeps. The majority of the molecular adaptations in the genome are not shared among populations. We show that similar to 71.5% of genes under selection also show significant associations with changes in environmental variables. Our results support the interpretation that these genes contribute to local adaptation of the populations in response to abiotic factors. We also found strong patterns of molecular adaptation in a diverse array of disease resistance genes (6.5% of selective sweeps), suggesting that differential adaptation to pathogens also contributes significantly to local adaptations. Our results are consistent with the interpretation that local selective pressures are more important than regional selective pressures in explaining adaptation across the range of a species.
C1 [Nelson, Joel T.; Cornejo, Omar E.] Washington State Univ, Sch Biol Sci, 100 Dairy Rd, Pullman, WA 99164 USA.
   [Motamayor, Juan C.] Universal Genet Solut LLC, Orlando, FL USA.
C3 Washington State University
RP Cornejo, OE (corresponding author), Washington State Univ, Sch Biol Sci, 100 Dairy Rd, Pullman, WA 99164 USA.
EM omar.cornejo@wsu.edu
CR Aime MC, 2005, MYCOLOGIA, V97, P1012, DOI 10.3852/mycologia.97.5.1012
   Alachiotis N, 2012, BIOINFORMATICS, V28, P2274, DOI 10.1093/bioinformatics/bts419
   Albores-Flores VJ, 2018, BOT SCI, V96, P84
   [Anonymous], 2010, FastQC
   Archimbaud A, 2018, COMPUT STAT DATA AN, V128, P184, DOI 10.1016/j.csda.2018.06.011
   Atayese M., 2012, Nigerian Journal of Horticulture Science, V17, P177, DOI DOI 10.1016/j.jtbi.2010.07.014
   Atkins KE, 2010, J THEOR BIOL, V266, P449, DOI 10.1016/j.jtbi.2010.07.014
   Barth JMI, 2017, MOL ECOL, V26, P4452, DOI 10.1111/mec.14207
   Bourgeois Y, 2018, PLANT J, V96, P438, DOI 10.1111/tpj.14042
   Bush M.B., 2006, Biota Neotropica, V6, DOI DOI 10.1590/S1676-06032006000100002
   Bush MB, 2017, NATURE, V541, P167, DOI 10.1038/541167a
   Chambers J., 2013, Functions and examples for "software for data analysis"
   Chen H, 2010, GENOME RES, V20, P393, DOI 10.1101/gr.100545.109
   Chen JH, 2012, PLANT PHYSIOL, V158, P340, DOI 10.1104/pp.111.181875
   Choi SM, 2013, PLANT PATHOLOGY J, V29, P209, DOI 10.5423/PPJ.SI.07.2012.0103
   Cornejo OE, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0168-6
   De la Rosa L, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-2267-z
   DeYoung BJ, 2012, CELL MICROBIOL, V14, P1071, DOI 10.1111/j.1462-5822.2012.01779.x
   Duffy PB, 2015, P NATL ACAD SCI USA, V112, P13172, DOI 10.1073/pnas.1421010112
   Evans HC, 2007, PHYTOPATHOLOGY, V97, P1640, DOI 10.1094/PHYTO-97-12-1640
   Farquharson KL, 2014, PLANT CELL, V26, P4231, DOI 10.1105/tpc.114.133462
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fine PVA, 2005, EVOLUTION, V59, P1464
   Frachon L, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00967
   Friesen ML, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-1160
   FULTON RH, 1989, PLANT DIS, V73, P601, DOI 10.1094/PD-73-0601
   Gaillard MDP, 2018, NEW PHYTOL, V217, P355, DOI 10.1111/nph.14757
   Garcia E, 2020, J HERED, V111, P57, DOI 10.1093/jhered/esz071
   Garud NR, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005004
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Gururani MA, 2012, PHYSIOL MOL PLANT P, V78, P51, DOI 10.1016/j.pmpp.2012.01.002
   Hanks SK, 2003, GENOME BIOL, V4, DOI 10.1186/gb-2003-4-5-111
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hengl T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125814
   Hengl T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105992
   Jaccard P., 1912, New Phytologist, V11, P37, DOI [10.1111/j.1469-8137.1912.tb05611.x, DOI 10.1111/J.1469-8137.1912.TB05611.X]
   Jarzyniak KM, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00687
   Kim Y, 2004, GENETICS, V167, P1513, DOI 10.1534/genetics.103.025387
   Lahive F, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-018-0552-0
   Leenaars J.G., 2014, ISRIC Report 2014/01
   Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
   Li Y, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00485
   Lind BM, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-017-1224-y
   Motamayor JC, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-6-r53
   Motamayor JC, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003311
   Nielsen R, 2005, GENOME RES, V15, P1566, DOI 10.1101/gr.4252305
   Oksanen J., 2013, Package vegan. Community ecology package, V2, P1
   Osuna-Cruz CM, 2018, NUCLEIC ACIDS RES, V46, pD1197, DOI 10.1093/nar/gkx1119
   Pavlidis P, 2013, MOL BIOL EVOL, V30, P2224, DOI 10.1093/molbev/mst112
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Rellstab C, 2017, HEREDITY, V118, P193, DOI 10.1038/hdy.2016.82
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Ren H, 2015, MOL PLANT, V8, P1153, DOI 10.1016/j.molp.2015.05.003
   Renaut S, 2014, MOL ECOL, V23, P311, DOI 10.1111/mec.12600
   Rosenberg NA, 2002, NAT REV GENET, V3, P380, DOI 10.1038/nrg795
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Spellerberg IF, 2003, GLOBAL ECOL BIOGEOGR, V12, P177, DOI 10.1046/j.1466-822X.2003.00015.x
   Tyler DE, 2009, J ROY STAT SOC B, V71, P549, DOI 10.1111/j.1467-9868.2009.00706.x
   Verity R, 2017, MOL ECOL RESOUR, V17, P33, DOI 10.1111/1755-0998.12579
   Warren RF, 1998, PLANT CELL, V10, P1439, DOI 10.1105/tpc.10.9.1439
   Wei SG, 2017, J ADV MODEL EARTH SY, V9, P65, DOI 10.1002/2016MS000686
   Wickham H., 2007, GGPLOT PACKAGE
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yoder JB, 2014, GENETICS, V196, P1263, DOI 10.1534/genetics.113.159319
   Zhang XJ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179477
   **DATA OBJECT**
NR 66
TC 6
Z9 6
U1 5
U2 39
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 2021
VL 30
IS 3
BP 656
EP 669
DI 10.1111/mec.15754
EA DEC 2020
PG 14
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA QB2WC
UT WOS:000601887000001
PM 33247971
OA Green Submitted
DA 2025-01-10
ER

PT C
AU Fakher, OA
   Doupis, G
   Psarras, G
   Papafilippaki, A
   Koubouris, G
AF Fakher, O. A.
   Doupis, G.
   Psarras, G.
   Papafilippaki, A.
   Koubouris, G.
BE Kalaitzis, P
   Blazakis, KN
   Manganaris, GA
TI Evaluation of legume-cereal seed mixtures for enhancement of soil
   fertility, carbon storage and biodiversity in a low-intensity olive
   orchard
SO III INTERNATIONAL SYMPOSIUM ON HORTICULTURE IN EUROPE (SHE2016)
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 3rd International Symposium on Horticulture in Europe (SHE)
CY OCT 17-21, 2016
CL Chania, GREECE
SP Int Soc Hort Sci
DE climate change; nutrients; soil organic matter; cover crops
ID DYNAMICS
AB The main aim of the LIFE+ OLIVECLIMA project is to trial the introduction of new cultivation practices for tree crops in order to find a cost-effective means of mitigating and adapting to climate change, through the increase of carbon sequestration by soils, and reduction of greenhouse gases emissions. In order to determine the benefits of using cover crops on soil fertility and biodiversity, an investigation with different combinations of legumes and oat has been conducted during 2014-2015 in Chania, Greece, in a low tree density rain-fed olive orchard covered dominantly by Oxalis pescaprae weed. The treatments were: natural vegetation, bare soil, only oats, only Vicia sativa, mixture of four legumes with oats and mixture of five legumes with oats. Seed emergence and soil cover was monitored and soil was monthly sampled at three depths (0-10, 10-20 and 20-30 cm) for analysis. During plant growth, significant fluctuations in soil NO3-N and NH4-N content were recorded. Similarly, soil CO2 emissions increased with plant growth and air temperature raise. Sowing cover crop mixtures is a promising soil management practice to increase soil fertility and enrich plant and microbial biodiversity in olive orchards especially when dominated by Oxalis pes-caprae a very aggressive weed in many Mediterranean areas.
C1 [Fakher, O. A.] Mediterranean Agron Inst Chania MAICh, Dept Sustainable Agr, Alsyllio Agrokepiou 73100, Chania, Greece.
   [Doupis, G.; Psarras, G.; Papafilippaki, A.; Koubouris, G.] ELGO DEMETER, NAGREF Inst Olive Tree Subtrop Crops & Viticultur, Agrokipion 73100, Chania, Greece.
RP Fakher, OA (corresponding author), Mediterranean Agron Inst Chania MAICh, Dept Sustainable Agr, Alsyllio Agrokepiou 73100, Chania, Greece.
RI Koubouris, Georgios/T-3906-2018
OI Koubouris, Georgios/0000-0002-0079-8900; Papafilippaki,
   Androniki/0000-0002-2130-7429
FU European Union
FX With the contribution of the LIFE + financial instrument of the European
   Union.
CR Agehara S, 2005, SOIL SCI SOC AM J, V69, P1844, DOI 10.2136/sssaj2004.0361
   Rodrigues MA, 2015, SPAN J AGRIC RES, V13, DOI 10.5424/sjar/2015132-6252
   Auyeung DSN, 2013, GLOBAL CHANGE BIOL, V19, P662, DOI 10.1111/gcb.12063
   Duarte F, 2008, J ENVIRON MANAGE, V89, P86, DOI 10.1016/j.jenvman.2007.05.024
   Ferreira IQ, 2013, SPAN J AGRIC RES, V11, P472, DOI 10.5424/sjar/2013112-3501
   Gómez JA, 2009, SOIL TILL RES, V106, P137, DOI 10.1016/j.still.2009.04.008
   Gómez-Muñoz B, 2014, AGR ECOSYST ENVIRON, V184, P115, DOI 10.1016/j.agee.2013.11.020
   Liu J.L., 2013, Acta Ecol. Sin., V33, P32, DOI [10.1016/j.chnaes.2012.12.005, DOI 10.1016/J.CHNAES.2012.12.005]
   Mäder P, 2002, SCIENCE, V296, P1694, DOI 10.1126/science.1071148
   Montanaro G, 2010, LAND DEGRAD DEV, V21, P132, DOI 10.1002/ldr.917
   Nielsen PL, 2009, APPL SOIL ECOL, V42, P279, DOI 10.1016/j.apsoil.2009.05.006
   Olsen S. R., 1982, Methods of soil analysis. Part 2. Chemical and microbiological properties, P403
   Ramos ME, 2011, SOIL TILL RES, V112, P85, DOI 10.1016/j.still.2010.11.007
   Singh JS, 2006, MICROBIOL RES, V161, P169, DOI 10.1016/j.micres.2005.07.009
NR 14
TC 0
Z9 0
U1 2
U2 4
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
EI 2406-6168
BN 978-94-62612-39-6
J9 ACTA HORTIC
PY 2019
VL 1242
BP 309
EP 313
DI 10.17660/ActaHortic.2019.1242.43
PG 5
WC Agricultural Engineering; Agronomy; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BU8KK
UT WOS:000948154700043
DA 2025-01-10
ER

PT J
AU Mbatu, R
AF Mbatu, Richard
TI Challenges and opportunities of a landscape governance approach to the
   REDD plus programme: a conservation outlook
SO ORYX
LA English
DT Article
DE Biodiversity conservation; carbon-farming; forest governance;
   grasslands; landscape governance approach; plantations; REDD
ID BIODIVERSITY; FOREST; DEFORESTATION; MANAGEMENT; GRASSLAND;
   FERTILIZATION; IRRIGATION; IMPACT
AB Implementing the Reducing Emissions from Deforestation and forest Degradation (REDD+) programme has the potential to significantly reduce greenhouse gases whilst also helping to maintain biodiversity. However, a proposed landscape governance approach to the REDD+ programme, encompassing all land-use activities, could alter these desirable outcomes. Under the proposed approach, governments and private entities could encourage types of land use that have the potential to threaten biodiversity and disrupt ecosystems. Yet a landscape governance approach could also stimulate governments to develop land-use management policies to facilitate adaptation to climate change. I organized focus group discussions with members of conservation groups, REDD+ scholars, and members of the REDD+ agroforestry research community at the Association of American Geographers 2016 Annual Meeting, to identify potential conservation challenges and opportunities associated with carbon-farming in grasslands and plantations under the proposed landscape governance approach to REDD+. I evaluate and synthesize this information, making recommendations for strategies to maximize the conservation opportunities and minimize the challenges. Understanding the challenges and opportunities will enable policy makers and other stakeholders to improve the presentation of their arguments in their efforts to shape the course of the REDD+ programme in the post-Paris Agreement era.
C1 [Mbatu, Richard] Univ S Florida, Coll Arts & Sci, 140 Seventh Ave South, St Petersburg, FL 33701 USA.
C3 State University System of Florida; University of South Florida
RP Mbatu, R (corresponding author), Univ S Florida, Coll Arts & Sci, 140 Seventh Ave South, St Petersburg, FL 33701 USA.
EM mbatu@mail.usf.edu
CR Andrey A, 2014, ECOL EVOL, V4, P2610, DOI 10.1002/ece3.1118
   [Anonymous], 2015, CLIMATE SMART LANDSC
   [Anonymous], WILEY INTERDISCIP RE
   [Anonymous], 2010, CHALLENGES OPPORTUNI
   [Anonymous], 2002, Report of the Conference of the Parties on its Seventh Session
   Bhagwat SA, 2008, TRENDS ECOL EVOL, V23, P261, DOI 10.1016/j.tree.2008.01.005
   Brooks M.L., 2000, Proceedings of the invasive species workshop: the role of fire in the control and spread of invasive species. Fire conference, P1
   Bullock JM, 2011, TRENDS ECOL EVOL, V26, P541, DOI 10.1016/j.tree.2011.06.011
   Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
   Conant RT, 2001, ECOL APPL, V11, P343, DOI 10.1890/1051-0761(2001)011[0343:GMACIG]2.0.CO;2
   GLF (Global Landscapes Forum), 2013, GLOB LANDSC FOR EX S
   Hartley MJ, 2002, FOREST ECOL MANAG, V155, P81, DOI 10.1016/S0378-1127(01)00549-7
   Hautier Y, 2014, NATURE, V508, P521, DOI 10.1038/nature13014
   Helms JA, 2002, J FOREST, V100, P15
   Herold M., 2013, REDD LANDSCAPE GOVER
   Humphreys D, 2008, INT FOREST REV, V10, P433, DOI 10.1505/ifor.10.3.433
   Keeley JE, 2006, CONSERV BIOL, V20, P375, DOI 10.1111/J.1523-1739.2006.00339.X
   Leach MK, 1996, SCIENCE, V273, P1555, DOI 10.1126/science.273.5281.1555
   Maddox T., 2007, CONSERVATION TIGERS
   Naughton-Treves L, 2014, WORLD DEV, V55, P1, DOI 10.1016/j.worlddev.2013.01.010
   NOSS RF, 1983, BIOSCIENCE, V33, P700, DOI 10.2307/1309350
   O'Connor TG, 2010, AFR J RANGE FOR SCI, V27, P67, DOI 10.2989/10220119.2010.502646
   Putz FE, 2009, GLOBAL ENVIRON CHANG, V19, P400, DOI 10.1016/j.gloenvcha.2009.07.005
   Putz FE, 2010, BIOTROPICA, V42, P10, DOI 10.1111/j.1744-7429.2009.00567.x
   Riedener E, 2013, AGR ECOSYST ENVIRON, V164, P62, DOI 10.1016/j.agee.2012.09.020
   Romijn E, 2013, ENVIRON SCI POLICY, V33, P246, DOI 10.1016/j.envsci.2013.06.002
   Santilli M, 2005, CLIMATIC CHANGE, V71, P267, DOI 10.1007/s10584-005-8074-6
   Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110
   Scurlock JMO, 1998, GLOBAL CHANGE BIOL, V4, P229, DOI 10.1046/j.1365-2486.1998.00151.x
   Silveira M.L., 2007, SOIL PH LIMING ISSUE
   Socher SA, 2012, J ECOL, V100, P1391, DOI 10.1111/j.1365-2745.2012.02020.x
   Srivastava R., 2005, Community Ecology, V6, P131, DOI 10.1556/ComEc.6.2005.2.2
   UN SDG Summit, 2015, TRANSF OUR WORLD 203
   UNEP WCMC, 2004, WORLD CONS MON CTR U
   Wertz-Kanounnikoff S., 2009, EMERGING REDD PRELIM
   Wicke B, 2011, LAND USE POLICY, V28, P193, DOI 10.1016/j.landusepol.2010.06.001
NR 36
TC 1
Z9 1
U1 0
U2 22
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0030-6053
EI 1365-3008
J9 ORYX
JI Oryx
PD JAN
PY 2019
VL 53
IS 1
BP 130
EP 135
DI 10.1017/S0030605317000527
PG 6
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA HF5WD
UT WOS:000454304000019
OA Bronze
DA 2025-01-10
ER

PT J
AU Lasram, A
   Dellagi, H
   Dessalegn, B
   Dhehibi, B
   Ben Mechlia, N
AF Lasram, Asma
   Dellagi, Hatem
   Dessalegn, Bezaiet
   Dhehibi, Boubaker
   Ben Mechlia, Netij
TI Farmers' willingness to adapt to climate change for sustainable water
   resources management: a case study of Tunisia
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE citrus; farmer willingness; sustainable water resource management
ID IRRIGATION WATER; DEFICIT IRRIGATION; DECISION-MAKING; TO-PAY; CITRUS;
   ADOPTION; BEHAVIOR; REGION; DETERMINANTS; VARIABILITY
AB Shrinking water resources as a potential result of climate change (CC) creates a challenging tradeoff situation in the north of Tunisia. This study provides valuable insights into the conditions that can promote farmers' acceptance of regulated deficit irrigation and a new water pricing policy to address CC impacts on the semi-arid irrigated region which will allow for a sustainable irrigation regime and the conservation of water resources at regional scale. Binary logistic regression was used to analyze data collected from 100 farmers in the citrus regions of Beni Khalled and Menzel Bouzelfa, to identify determining factors for farmers' willingness to accept the proposed water management strategies. Empirical findings reveal that the significant explanatory variables are essentially linked to farmer satisfaction about the current irrigation management in relation to water supply reliability, rather than the social criteria and farmers' awareness of water scarcity. More efforts are needed to improve the transparency of water allocation systems to motivate the willingness of water users to adopt new technologies or policies. The different stakeholders should agree to take action now about strategic extension and communication plans to enhance awareness on ensuing environmental problems, to take advantage of long-term profitability of the water restriction.
C1 [Lasram, Asma] Higher Inst Agron Chott Mariem, POB 47, Chott Mariem 4042, Sousse, Tunisia.
   [Dellagi, Hatem] Univ Econ & Management Sci Tunis, POB 248,El Manar 2, Tunis 2092, Tunisia.
   [Dessalegn, Bezaiet] ICARDA, IWLMP, El Rawaby Neighborhood Abdallah Abu Ghosheh St, Amman, Jordan.
   [Dhehibi, Boubaker] ICARDA, SIRPSP, Abdallah Abu Ghosheh St, Amman, Jordan.
   [Ben Mechlia, Netij] Natl Agron Inst Tunis, 43 Av Charles Nicole, Tunis Mahrajene 1082, Tunisia.
C3 Universite de Sousse; CGIAR; International Center for Agricultural
   Research in the Dry Areas (ICARDA); CGIAR; International Center for
   Agricultural Research in the Dry Areas (ICARDA); Universite de Carthage
RP Dhehibi, B (corresponding author), ICARDA, SIRPSP, Abdallah Abu Ghosheh St, Amman, Jordan.
EM b.dhehibi@cgiar.org
OI Dessalegn, Bezaiet/0000-0001-9406-1389; Dhehibi,
   Boubaker/0000-0003-3854-6669
FU Middle East and North Africa Water Livelihoods Initiative (WLI-USAID);
   Modernizing Extension and Agricultural Systems (MEAS); Office for Global
   Research Engagement (University of Florida)
FX The authors are grateful to GDA and CTV agents who assisted with the
   primary data collection process. We acknowledge the Middle East and
   North Africa Water Livelihoods Initiative (WLI-USAID), Modernizing
   Extension and Agricultural Systems (MEAS), and the Office for Global
   Research Engagement (University of Florida) for supporting this
   research. The reviewers are acknowledged for their pertinent and
   constructive comments.
CR ALATIRI R, 2004, P SEM MOD AGR IRR RA
   Alcon F, 2014, ENVIRON SCI POLICY, V44, P226, DOI 10.1016/j.envsci.2014.08.012
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Ballester C, 2014, AGR WATER MANAGE, V138, P78, DOI 10.1016/j.agwat.2014.03.003
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Bargaoui Z, 2014, INT J CLIMATOL, V34, P235, DOI 10.1002/joc.3683
   Ben Abdelaali S, 2018, SCI HORTIC-AMSTERDAM, V227, P296, DOI 10.1016/j.scienta.2017.09.023
   Bozorg-Haddad O, 2016, AGR WATER MANAGE, V177, P284, DOI 10.1016/j.agwat.2016.08.011
   Carr MKV, 2012, EXP AGR, V48, P347, DOI 10.1017/S0014479712000038
   Chebil A., 2010, Agricultural Economics Review, V11, P44
   Chevrillon A, 2017, LIVING TERRITORIES T, P167
   Chouchane H, 2015, ECOL INDIC, V52, P311, DOI 10.1016/j.ecolind.2014.12.015
   Dakhlaoui H, 2017, J HYDROL, V550, P201, DOI 10.1016/j.jhydrol.2017.04.032
   Degol Fissahaye Y, 2017, AGR WATER MANAGE, V191, P16
   Dhehibi B, 2007, AFR J AGRIC RESOUR E, V1, P1
   Dolinska A, 2017, AGR SYST, V157, P129, DOI 10.1016/j.agsy.2017.07.002
   Feike T, 2017, ECOL ECON, V135, P42, DOI 10.1016/j.ecolecon.2016.12.012
   Hall TJ, 2009, HORTSCIENCE, V44, P1346, DOI 10.21273/HORTSCI.44.5.1346
   He XF, 2007, AGR WATER MANAGE, V89, P243, DOI 10.1016/j.agwat.2007.01.006
   Hunecke C, 2017, AGR SYST, V153, P221, DOI 10.1016/j.agsy.2017.02.002
   Iglesias A, 2011, ENVIRON SCI POLICY, V14, P744, DOI 10.1016/j.envsci.2011.02.007
   Inter-professional Group of Fruit, 2014, EV PROD EXP AGR
   Keelan C., 2009, AgBioForum, V12, P394
   Knapp T, 2018, AGR WATER MANAGE, V195, P133, DOI 10.1016/j.agwat.2017.10.013
   Lasram A, 2017, WATER LAND SECURITY
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Masmoudi M. M., 2010, Options Mediterraneennes. Serie A, Seminaires Mediterraneens, P323
   Mnif AT, 2017, RES INT BUS FINANC, V39, P206, DOI 10.1016/j.ribaf.2016.07.029
   Muchara B, 2016, AGR WATER MANAGE, V164, P243, DOI 10.1016/j.agwat.2015.10.022
   Nagaz K, 2015, 26 EUR REG C WORKSH
   National Center of Agricultural Studies, 2007, ET STRAT DEV DUR AGR
   National Observatory of Agriculture, 2013, ANN STAT 2013
   Nunes JP, 2017, SCI TOTAL ENVIRON, V584, P219, DOI 10.1016/j.scitotenv.2017.01.131
   Panigrahi P, 2016, SCI HORTIC-AMSTERDAM, V210, P6, DOI 10.1016/j.scienta.2016.07.008
   Panigrahi P, 2014, AGR WATER MANAGE, V140, P48, DOI 10.1016/j.agwat.2014.03.018
   Rai RK, 2017, PLANNING AND EVALUATION OF IRRIGATION PROJECTS: METHODS AND IMPLEMENTATION, P365, DOI 10.1016/B978-0-12-811748-4.00011-X
   Regional Agricultural Development Commissariat of Nabeul, 2014, EST REND SURF AGR GO
   Sarraf M, 2004, 97 ENV DEP WORLD BAN
   Steduto P., 2012, Irrigation and drainage paper 66 - Crop yield response to Water
   Stein S, 2018, EUR J AGRON, V92, P30, DOI 10.1016/j.eja.2017.09.010
   Syvertsen JP, 2014, ENVIRON EXP BOT, V103, P128, DOI 10.1016/j.envexpbot.2013.09.015
   Tembata K, 2018, WATER RESOUR ECON, V22, P19, DOI 10.1016/j.wre.2017.11.001
   Turner R.K., 2004, 27 FAO
   Varela-Ortega C, 1998, AGR ECON-BLACKWELL, V19, P193, DOI 10.1016/S0169-5150(98)00048-6
   WEITZMAN ML, 1974, REV ECON STUD, V41, P477, DOI 10.2307/2296698
   WOZNIAK GD, 1984, REV ECON STAT, V66, P70, DOI 10.2307/1924697
   Zekri S., 2001, FUTUR ECHANGES AGRO, P9
   Ziolkowska JR, 2015, AGR WATER MANAGE, V153, P20, DOI 10.1016/j.agwat.2015.01.024
   Zongo B., 2015, International Journal of Food and Agricultural Economics, V3, P101
NR 50
TC 6
Z9 6
U1 0
U2 23
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 2018
VL 9
IS 3
BP 598
EP 610
DI 10.2166/wcc.2018.171
PG 13
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA GU2YJ
UT WOS:000445138000014
OA hybrid
DA 2025-01-10
ER

PT J
AU Heltorp, KMA
   Kangas, A
   Hoen, HF
AF Heltorp, Kaja Mathilde Aamodt
   Kangas, Annika
   Hoen, Hans Fredrik
TI Do forest decision-makers in Southeastern Norway adapt forest management
   to climate change?
SO SCANDINAVIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Climate change; risk perception; adaptive management; risk management;
   forest management; forestry
ID CHANGE IMPACTS; BOREAL FORESTS; OWNERS; PERCEPTIONS; RISK; STRATEGIES;
   CAPACITY; DYNAMICS; TYPOLOGY; FINLAND
AB To study whether, why, and how forestry decision-makers in Southeastern Norway adapt to climate change, we conducted a series of semi-structured interviews in focus groups consisting of non-industrial private forest owners, forest managers, and forest advisors. Our results show that a majority of the participants believed in climate change as a phenomenon, and had experienced events or observed changes that they attributed to climate change. However, we found little evidence of concern regarding climate change impacts on forest ecosystems and forestry among the participants. Instead, the majority regarded climate change more as an opportunity for the Norwegian forest-based sector than a threat. A minority had implemented proactive practices motivated by climate change but in all but one case, the adjustments were adaptation of forest infrastructure. In general, the participants agreed that the uncertainty associated with the effects of climate change and the (economical) uncertainty associated with adaptation of forest ecosystems were too large to change forest management practices at present. However, many participants, in particular the managers, are already adapting in response to experienced problems, such as increased frequency and duration of periods with low carrying capacity of the ground implying reduced or no accessibility within and to stands.
C1 [Heltorp, Kaja Mathilde Aamodt; Kangas, Annika; Hoen, Hans Fredrik] Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, POB 5003, NO-1432 As, Norway.
   [Kangas, Annika] Nat Resources Inst Finland Luke, Joensuu, Finland.
C3 Norwegian University of Life Sciences; Natural Resources Institute
   Finland (Luke)
RP Heltorp, KMA (corresponding author), Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, POB 5003, NO-1432 As, Norway.
EM kajah@nmbu.no
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Alam A, 2008, SCAND J FOREST RES, V23, P501, DOI 10.1080/02827580802545564
   [Anonymous], NVIVO QUAL DAT AN SO
   Berg BL, 2004, QUALITATIVE RES METH
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Blennow K, 2012, FOREST POLICY ECON, V24, P41, DOI 10.1016/j.forpol.2011.04.005
   Blennow K, 2010, CLIMATIC CHANGE, V99, P261, DOI 10.1007/s10584-009-9698-8
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Boon TE, 2004, SCAND J FOREST RES, V19, P45, DOI 10.1080/14004080410034056
   Bryman A., 2008, Social research methods
   Carlsen B, 2011, BMC MED RES METHODOL, V11, DOI 10.1186/1471-2288-11-26
   Central Bureau of Statistics Norway, 2015, NAT FOR INV 2010 201
   Central Bureau of Statistics Norway, 2016, FOR OWN INC 2014
   Central Bureau of Statistics Norway, 2016, COMM ROUNDW REM 2016
   Central Bureau of Statistics Norway, 2015, FOR STRUCT STAT 2014
   Cook JE, 1996, FOREST SCI, V42, P67
   Etkin D, 2007, J RISK RES, V10, P623, DOI 10.1080/13669870701281462
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Furness E, 2012, FOREST CHRON, V88, P519, DOI 10.5558/tfc2012-099
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hanssen-Bauer I., 2009, Klima i Norge 2100, Bakgrunnsmateriale til NOU Klimatilpassin
   Ingemarson F, 2006, SCAND J FOREST RES, V21, P249, DOI 10.1080/02827580600662256
   Jardine L., 2000, Francis Bacon: The New Organon
   Jönsson AM, 2007, AGR FOREST METEOROL, V146, P70, DOI 10.1016/j.agrformet.2007.05.006
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Kellomäki S, 2008, PHILOS T R SOC B, V363, P2341, DOI 10.1098/rstb.2007.2204
   Koca D, 2006, CLIMATIC CHANGE, V78, P381, DOI 10.1007/s10584-005-9030-1
   Lawrence A, 2014, ANN FOREST SCI, V71, P291, DOI 10.1007/s13595-013-0326-4
   Lidskog R, 2014, SCAND J FOREST RES, V29, P275, DOI 10.1080/02827581.2014.910268
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Milad M, 2013, BIODIVERS CONSERV, V22, P1181, DOI 10.1007/s10531-012-0337-8
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   PEFC Norway, 2015, NORW PEFC FOR STAND, P31
   Peltola H, 2010, FOREST ECOL MANAG, V260, P833, DOI 10.1016/j.foreco.2010.06.001
   Schelhaas MJ, 2015, REG ENVIRON CHANGE, V15, P1581, DOI 10.1007/s10113-015-0788-z
   Schlyter P, 2006, CLIM RES, V31, P75, DOI 10.3354/cr031075
   Schoene DHF, 2012, FOREST POLICY ECON, V24, P12, DOI 10.1016/j.forpol.2011.04.007
   Sousa-Silva R, 2016, FOR ECOSYST, V3, DOI 10.1186/s40663-016-0082-7
   Spittlehouse D.L., 2004, Journal of Ecosystems and Management, V4
   Sykes MT, 1996, CLIMATIC CHANGE, V34, P161, DOI 10.1007/BF00224628
   The Norwegian Parliament, 2015, STAT BUDG 2016, P162
   van Gameren V, 2015, ENVIRON SCI POLICY, V52, P51, DOI 10.1016/j.envsci.2015.05.004
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Yousefpour R, 2015, CLIMATIC CHANGE, V130, P273, DOI 10.1007/s10584-015-1330-5
   Yousefpour R, 2013, J ENVIRON MANAGE, V122, P56, DOI 10.1016/j.jenvman.2013.03.004
   Yousefpour R, 2012, ANN FOREST SCI, V69, P1, DOI 10.1007/s13595-011-0153-4
NR 50
TC 7
Z9 8
U1 3
U2 33
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0282-7581
EI 1651-1891
J9 SCAND J FOREST RES
JI Scand. J. Forest Res.
PY 2018
VL 33
IS 3
BP 278
EP 290
DI 10.1080/02827581.2017.1362463
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA FW5CN
UT WOS:000425333900009
DA 2025-01-10
ER

PT J
AU van Dijk, J
   Morgan, ER
AF van Dijk, J.
   Morgan, E. R.
TI Variation in the hatching behaviour of <i>Nematodirus battus</i>:
   Polymorphic bet hedging?
SO INTERNATIONAL JOURNAL FOR PARASITOLOGY
LA English
DT Article
DE Parasite; Adaptation; Climate change; Bet-hedging; Polymorphism;
   Microevolution
ID LIFE-HISTORY STRATEGIES; FREE-LIVING STAGES; CLIMATE-CHANGE;
   HAEMONCHUS-CONTORTUS; ABOMASAL NEMATODES; N-FILICOLLIS; SHEEP;
   EPIDEMIOLOGY; EVOLUTION; PARASITES
AB Previous work on the transmission dynamics of Nematodirus battus, an important nematode parasite of farmed ruminants in temperate regions, suggests that it operates a bet-hedging strategy. Hatching of cold-sensitised eggs is concentrated in spring, while alternative hatching of non-cold-sensitised eggs in autumn mitigates the risk of poor conditions for hatching in spring or host absence during peak larval availability. Isolates from Scotland showed much less propensity to hatch without chilling than the previously characterised isolate from southern England. Nematodirus battus eggs from a hill farm in Scotland showed intermediate proportions of non-chilled hatching, perhaps related to unpredictability of climate at higher altitudes. Geographic polymorphism in larval behaviour appears to be present in the form of differing chilling requirements for egg hatching. Since bet-hedging through trait diversification is a plausible and demonstrated strategy for coping with environmental unpredictability, it is a likely target for adaptation to climate change. Predictions of disease epidemiology in a changing climate should incorporate parasite adaptation, but further theoretical and empirical characterisations of likely evolutionary responses are needed before this is possible for the most economically important systems. (C) 2009 Australian Society for Parasitology Inc. Published by Elsevier Ltd. All rights reserved.
C1 [van Dijk, J.; Morgan, E. R.] Univ Bristol, Sch Biol Sci, Bristol BS8 1UG, Avon, England.
C3 University of Bristol
RP van Dijk, J (corresponding author), Liverpool Univ Climate & Infect Dis Anim Grp LUCI, 111 Main Bldg,Chester High Rd, Neston CH64 7TE, Cheshire, England.
EM jan.van-dijk@liverpool.ac.uk
OI Morgan, Eric Rene/0000-0002-5999-7728
FU BBSRC
FX J.vD acknowledges support from a BBSRC Veterinary Fellowship
   Studentship. We thank M.D.E. de Louw and L.P.A. Kalis for their
   practical assistance.
CR Barrett LG, 2008, TRENDS ECOL EVOL, V23, P678, DOI 10.1016/j.tree.2008.06.017
   BOAG B, 1975, RES VET SCI, V19, P263, DOI 10.1016/S0034-5288(18)33500-8
   Bradshaw WE, 2008, MOL ECOL, V17, P157, DOI 10.1111/j.1365-294X.2007.03509.x
   BULMER MG, 1984, THEOR POPUL BIOL, V26, P367, DOI 10.1016/0040-5809(84)90040-6
   CHRISTIE MG, 1962, PARASITOLOGY, V52, P297, DOI 10.1017/S0031182000027189
   COHEN D, 1966, J THEOR BIOL, V12, P119, DOI 10.1016/0022-5193(66)90188-3
   CROFFON HD, 1951, NATURE, V29, P559
   Crossan J, 2007, EVOLUTION, V61, P675, DOI 10.1111/j.1558-5646.2007.00057.x
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   ELAZAZY OME, 1990, VET PARASITOL, V37, P55, DOI 10.1016/0304-4017(90)90025-7
   Fenton A, 2006, J APPL ECOL, V43, P660, DOI 10.1111/j.1365-2664.2006.01176.x
   Fenton A, 2002, OIKOS, V96, P92, DOI 10.1034/j.1600-0706.2002.960110.x
   GIBSON T. E., 1963, RES VET SCI, V4, P258
   GIBSON TE, 1981, RES VET SCI, V31, P323, DOI 10.1016/S0034-5288(18)32465-2
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Hakalahti T, 2004, OIKOS, V107, P295, DOI 10.1111/j.0030-1299.2004.13213.x
   Harvell D, 2009, ECOLOGY, V90, P912, DOI 10.1890/08-0616.1
   Hoberg EP, 2008, REV SCI TECH OIE, V27, P511, DOI 10.20506/rst.27.2.1818
   Hoberg EP, 2005, J PARASITOL, V91, P358, DOI 10.1645/GE-3466
   Irvine RJ, 2000, PARASITOLOGY, V120, P297, DOI 10.1017/S0031182099005430
   Jorgensen LT, 1998, INT J PARASITOL, V28, P1347, DOI 10.1016/S0020-7519(98)00092-7
   Kaplan RM, 2004, TRENDS PARASITOL, V20, P477, DOI 10.1016/j.pt.2004.08.001
   King BJ, 2007, PARASITOLOGY, V134, P309, DOI 10.1017/S0031182006001491
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Lebarbenchon C, 2008, MOL ECOL, V17, P475, DOI 10.1111/j.1365-294X.2007.03375.x
   Maizels RM, 2002, PARASITOLOGY, V125, pS25, DOI 10.1017/S0031182002001890
   Mangal TD, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001438
   MCKELLAR Q, 1983, VET REC, V112, P309, DOI 10.1136/vr.112.13.309-a
   Meyers LA, 2002, TRENDS ECOL EVOL, V17, P551, DOI 10.1016/S0169-5347(02)02633-2
   MITCHELL GBB, 1985, RES VET SCI, V38, P197, DOI 10.1016/S0034-5288(18)31826-5
   Morgan ER, 2004, TRENDS ECOL EVOL, V19, P181, DOI 10.1016/j.tree.2004.01.011
   Morgan ER, 2009, TRENDS PARASITOL, V25, P308, DOI 10.1016/j.pt.2009.03.012
   RODGERS JL, 1983, VET REC, V112, P261, DOI 10.1136/vr.112.11.261
   Simons AM, 1997, OIKOS, V80, P401, DOI 10.2307/3546608
   Simons AM, 2006, EVOLUTION, V60, P2280, DOI 10.1111/j.0014-3820.2006.tb01865.x
   THOMAS DR, 1991, PARASITOLOGY, V102, P147, DOI 10.1017/S0031182000060467
   THOMAS RJ, 1959, PARASITOLOGY, V49, P374, DOI 10.1017/S0031182000026925
   THOMAS RJ, 1960, PARASITOLOGY, V50, P31, DOI 10.1017/S0031182000025178
   Troell K, 2006, PARASITOLOGY, V132, P403, DOI 10.1017/S0031182005009182
   Troell K, 2005, J HELMINTHOL, V79, P373, DOI 10.1079/JOH2005286
   van Asch M, 2007, GLOBAL CHANGE BIOL, V13, P1596, DOI 10.1111/j.1365-2486.2007.01400.x
   van Dijk J, 2008, VET PARASITOL, V158, P73, DOI 10.1016/j.vetpar.2008.08.006
   van Dijk J, 2008, PARASITOLOGY, V135, P269, DOI 10.1017/S0031182007003812
   van Dijk J, 2010, ANIMAL, V4, P377, DOI 10.1017/S1751731109990991
   Van Dijk J, 2009, PARASITOLOGY, V136, P805, DOI 10.1017/S003118200900609X
   Viney M, 2002, PARASITOLOGY, V125, pS1, DOI 10.1017/S0031182002002500
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
NR 47
TC 33
Z9 36
U1 1
U2 44
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0020-7519
J9 INT J PARASITOL
JI Int. J. Parasit.
PD MAY
PY 2010
VL 40
IS 6
BP 675
EP 681
DI 10.1016/j.ijpara.2009.11.002
PG 7
WC Parasitology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Parasitology
GA 597CJ
UT WOS:000277733200005
PM 19944106
DA 2025-01-10
ER

PT J
AU Oksanen, E
   Freiwald, V
   Prozherina, N
   Rousi, M
AF Oksanen, E
   Freiwald, V
   Prozherina, N
   Rousi, M
TI Photosynthesis of birch (<i>Betula pendula</i>) is sensitive to
   springtime frost and ozone
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
ID EUROPEAN WHITE BIRCH; STOMATAL CONDUCTANCE; RED SPRUCE; GROWTH;
   METABOLISM; EXPOSURE; PSEUDOREPLICATION; TEMPERATURE; MECHANISMS;
   PHENOLOGY
AB Impacts of springtime frost and ozone enrichment, alone and in combination, on six birch ( Betula pendula Roth) genotypes regenerated from a naturally occurring birch stand in southeastern Finland were studied. The seedlings were exposed to 65 ppb ozone (AOT40 ( accumulated over a threshold of 40 ppb) exposure of 10.7 ppm center dot h) over 62 d in climate chambers, simulating spring conditions, and to -2 degrees C over two consecutive nights 33 d after the start of the experiment. The plants were measured for net photosynthesis, stomatal conductance, and concentrations of photosynthetic pigments, Rubisco, soluble proteins, carbohydrates, and macronutrients. Frost treatment caused a rapid 60%-77% decline in net photosynthesis and stomatal conductance rates. Recovery of net photosynthesis from frost was not complete during the subsequent 14 d, mainly because of impaired light capture through significant pigment loss and structural injuries. Concomitant ozone enrichment exacerbated the negative effect of frost on pigments and stomatal conductance. Both frost and ozone caused nutrient imbalance and increase in soluble proteins in leaves, whereas metabolism of carbohydrates was disturbed only when ozone was present. Responses to ozone and frost varied greatly among the genotypes, suggesting that there is a high capacity within the birch population to adapt to climate change through " preadapted" individuals.
C1 Univ Kuopio, Dept Ecol & Environm Sci, FI-70211 Kuopio, Finland.
   Finish Forest Res Inst, Punkaharju Res Stn, FI-58450 Punkaharju, Finland.
C3 University of Eastern Finland; Natural Resources Institute Finland
   (Luke)
RP Univ Joensuu, Dept Biol, POB 111, FI-80101 Joensuu, Finland.
EM Elina.Oksanen@uku.fi
RI Prozherina, Nadezda/A-5917-2013
OI Prozherina, Nadezhda/0000-0002-5067-7007; Oksanen,
   Elina/0000-0002-1866-736X
CR Aalto T, 2002, PLANT CELL ENVIRON, V25, P1399, DOI 10.1046/j.0016-8025.2002.00906.x
   ALSCHER RG, 1989, NEW PHYTOL, V113, P211, DOI 10.1111/j.1469-8137.1989.tb04708.x
   [Anonymous], 2001, CLIM CHANG 2001 IMP
   Aroca R, 2001, PLANT SCI, V161, P719, DOI 10.1016/S0168-9452(01)00460-5
   Bertrand A, 1999, TREE PHYSIOL, V19, P527
   Cannell MGR, 1989, SCAND J FOREST RES, V4, P459, DOI 10.1080/02827588909382582
   Dizengremel P, 2001, PLANT PHYSIOL BIOCH, V39, P729, DOI 10.1016/S0981-9428(01)01291-8
   Einig W, 1997, NEW PHYTOL, V137, P673, DOI 10.1046/j.1469-8137.1997.00863.x
   Flückiger W, 1999, WATER AIR SOIL POLL, V116, P99, DOI 10.1023/A:1005298609109
   Fowler D, 1999, WATER AIR SOIL POLL, V116, P5, DOI 10.1023/A:1005249231882
   Gaumont-Guay D, 2003, TREE PHYSIOL, V23, P301, DOI 10.1093/treephys/23.5.301
   Gorsuch DM, 2002, TREE PHYSIOL, V22, P1027, DOI 10.1093/treephys/22.14.1027
   Griffith M., 1996, ADV LOW TEMPERATURE, P107
   HANSEN J, 1975, ANAL BIOCHEM, V68, P87, DOI 10.1016/0003-2697(75)90682-X
   HURLBERT SH, 1984, ECOL MONOGR, V54, P187, DOI 10.2307/1942661
   Inouye DW, 2000, ECOL LETT, V3, P457, DOI 10.1046/j.1461-0248.2000.00165.x
   KANGASJARVI J, 1994, PLANT CELL ENVIRON, V17, P783, DOI 10.1111/j.1365-3040.1994.tb00173.x
   KATZ RW, 1992, CLIMATIC CHANGE, V21, P289, DOI 10.1007/BF00139728
   Kelly CK, 2003, ECOL LETT, V6, P87, DOI 10.1046/j.1461-0248.2003.00402.x
   Kratsch HA, 2000, PLANT CELL ENVIRON, V23, P337, DOI 10.1046/j.1365-3040.2000.00560.x
   Laitinen ML, 2000, J CHEM ECOL, V26, P1609, DOI 10.1023/A:1005582611863
   Laitinen ML, 2004, OIKOS, V104, P316, DOI 10.1111/j.0030-1299.2004.12793.x
   Laitinen ML, 2002, PHYSIOL PLANTARUM, V114, P450, DOI 10.1034/j.1399-3054.2002.1140315.x
   Landolt W, 1997, NEW PHYTOL, V137, P389, DOI 10.1046/j.1469-8137.1997.00843.x
   LAURILA T, 1996, CRITICAL LEVELS OZON, P115
   LI C, 2003, ROTH TREES, V17, P127
   Linkosalo T, 2000, TREE PHYSIOL, V20, P1175
   Lux D, 1997, NEW PHYTOL, V137, P399, DOI 10.1046/j.1469-8137.1997.00837.x
   Marschner H., 1995, MINERAL NUTR PLANTS, V2nd
   Matyssek R, 2003, PROG BOT, V64, P349
   MYKING T, 1995, TREE PHYSIOL, V15, P697, DOI 10.1093/treephys/15.11.697
   Ögren E, 2000, PHYSIOL PLANTARUM, V108, P295, DOI 10.1034/j.1399-3054.2000.108003295.x
   Oksanen E, 2001, CAN J FOREST RES, V31, P804, DOI 10.1139/cjfr-31-5-804
   Oksanen E, 1999, PLANT CELL ENVIRON, V22, P1401, DOI 10.1046/j.1365-3040.1999.00501.x
   Oksanen L, 2001, OIKOS, V94, P27, DOI 10.1034/j.1600-0706.2001.11311.x
   Pääkkönen E, 1998, PLANT CELL ENVIRON, V21, P671, DOI 10.1046/j.1365-3040.1998.00303.x
   Paakkonen E, 1996, TREE PHYSIOL, V16, P597
   Paakkonen E, 1998, NEW PHYTOL, V138, P295, DOI 10.1046/j.1469-8137.1998.00898.x
   Pellinen RI, 2002, PLANT PHYSIOL, V130, P549, DOI 10.1104/pp.003954
   Prozherina N, 2003, NEW PHYTOL, V159, P623, DOI 10.1046/j.1469-8137.2003.00828.x
   Ramaswamy V, 2001, "Climate change 2001: The scientific basis." Contribution of working group I to the third assessment report of the intergovernmental panel on climate change Vol., V8510, P68
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Rousi M, 2005, TREE PHYSIOL, V25, P201, DOI 10.1093/treephys/25.2.201
   Rusanen M, 2003, CAN J FOREST RES, V33, P1110, DOI 10.1139/X03-025
   Shamay Y, 2001, PHYSIOL PLANTARUM, V112, P285, DOI 10.1034/j.1399-3054.2001.1120218.x
   SHEPPARD LJ, 1994, NEW PHYTOL, V127, P69, DOI 10.1111/j.1469-8137.1994.tb04260.x
   SIMPSON D, 2003, ESTABLISHING OZONE C
   Stevenson DS, 1998, GEOPHYS RES LETT, V25, P3819, DOI 10.1029/1998GL900037
   Taschler D, 2004, TREE PHYSIOL, V24, P331, DOI 10.1093/treephys/24.3.331
   Temmerman L. de, 2002, Dendrobiology, V47, P9
   TokarskaSchlattner M, 1997, PLANT CELL ENVIRON, V20, P1205, DOI 10.1046/j.1365-3040.1997.d01-149.x
   *UN EC COMM EUR, 2003, EX REP COND FOR EUR
   Yamaji K, 2003, GLOBAL CHANGE BIOL, V9, P1363, DOI 10.1046/j.1365-2486.2003.00669.x
NR 53
TC 26
Z9 28
U1 0
U2 14
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 MAR
PY 2005
VL 35
IS 3
BP 703
EP 712
DI 10.1139/X05-007
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 917IM
UT WOS:000228454300022
DA 2025-01-10
ER

PT J
AU Michael, TO
AF Michael, Turnwait Otu
TI Adapting to climate change-induced flooding: insights from women traders
   in the riverine areas of Nigeria-a qualitative study
SO FRONTIERS IN SUSTAINABILITY
LA English
DT Article
DE climate change; flooding; experiences; adaptations; women traders
AB Introduction In the riverine areas of Bayelsa State, Nigeria, the intersection of climate change and flooding poses an escalating threat to the livelihoods and well-being of women traders. This qualitative study investigates the experiences and adaptive strategies employed by women traders in response to climate change-induced flooding.Methods Employing an exploratory research design with purposive sampling, 46 women traders participated in the study, involving 23 in-depth interviews and three focus group discussions. Thematic analysis was applied to scrutinize the collected data.Results The study unravels the impacts of climate change-induced flooding on economic, social, and gender dynamics, revealing economic disparities, gender inequality, livelihood disruptions, inadequate infrastructure, and limited access to information among women traders. Vulnerabilities emanated from disruptions in supply chains, damage to goods, and constrained market access, with agricultural traders being notably affected. Flood events exacerbated gender inequalities, amplifying caregiving responsibilities and limiting decision-making power for women traders. Resilience surfaced through diversified income sources, community solidarity, collective narratives, and local adaptive strategies, including indigenous knowledge and innovations.Discussion Policymakers and stakeholders should prioritize resilient infrastructure investments, such as flood-resistant marketplaces and storage facilities, to safeguard women traders' businesses during flooding events and enhance the overall economic resilience of the community.
C1 [Michael, Turnwait Otu] Univ Johannesburg, Dept Sociol, Johannesburg, South Africa.
C3 University of Johannesburg
RP Michael, TO (corresponding author), Univ Johannesburg, Dept Sociol, Johannesburg, South Africa.
EM mturnwait@uj.ac.za
RI Michael, Turnwait/GNP-5090-2022
OI Michael, Turnwait/0000-0003-1271-5815
FX The author(s) declare that no financial support was received for the
   research, authorship, and/or publication of this article.
CR Abel MH, 2002, HUMOR, V15, P365, DOI 10.1515/humr.15.4.365
   Akinbami CAO, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168882
   Anik AH., 2023, Water Security, V18, P100133, DOI [10.1016/j.wasec.2023.100133, DOI 10.1016/J.WASEC.2023.100133]
   [Anonymous], 2020, Natural disasters 2019: Now is not the time to give up
   Anugwa IQ, 2023, GEOJOURNAL, V88, P1139, DOI 10.1007/s10708-022-10638-z
   Ariyaningsih, 2023, INT J DISASTER RESIL, V14, P387, DOI 10.1108/IJDRBE-08-2021-0111
   Awazi NP, 2023, GEOJOURNAL, V88, P2491, DOI 10.1007/s10708-022-10755-9
   Berezi O. K., 2019, International Journal of Geology and Earth Sciences, V5
   Castleberry A, 2018, CURR PHARM TEACH LEA, V10, P807, DOI 10.1016/j.cptl.2018.03.019
   Cheng CW, 2017, LANDSCAPE URBAN PLAN, V167, P25, DOI 10.1016/j.landurbplan.2017.05.019
   Chidakwa P, 2020, INDIAN J GEND STUD, V27, P259, DOI 10.1177/0971521520910969
   Damte E, 2023, J CLIM CHANGE HEALTH, V10, DOI 10.1016/j.joclim.2022.100189
   Ejike E., 2022, NiMet predicts heavy flooding in Bayelsa, Borno, Delta, Kaduna
   Elum ZA, 2023, INT J CLIM CHANG STR, V15, P745, DOI 10.1108/IJCCSM-07-2022-0100
   ENGLAND KVL, 1994, PROF GEOGR, V46, P80, DOI 10.1111/j.0033-0124.1994.00080.x
   Fonjong L, 2023, GLOBAL ENVIRON CHANG, V82, DOI 10.1016/j.gloenvcha.2023.102709
   Andersen JG, 2023, BMC PUBLIC HEALTH, V23, DOI 10.1186/s12889-023-15281-y
   Helkkula A, 2012, J SERV MANAGE, V23, P554, DOI 10.1108/09564231211260413
   HILTON RH, 1984, WOMEN STUD, V11, P139, DOI 10.1080/00497878.1984.9978607
   Ibrahim B., 2022, SN Social Sciences, V2, DOI DOI 10.1007/S43545-022-00383-Y
   Jansson JK, 2023, NAT REV MICROBIOL, V21, P296, DOI 10.1038/s41579-022-00811-z
   Khan AR, 2023, NORMA, V18, P137, DOI 10.1080/18902138.2022.2077082
   Leal W, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161671
   Lelenguyah Geoffrey L., 2023, International Journal of Climate Change: Impacts and Responses, V15, P69, DOI 10.18848/1835-7156/CGP/v15i02/69-88
   Michael T. O., 2018, Nigerian J. Sociol. Anthropol, V16, P101, DOI [10.36108/NJSA/8102/61(0101), DOI 10.36108/NJSA/8102/61(0101)]
   Michael T. O., 2017, Ibadan J. Soc. Sci, V15, P101, DOI [10.36108/ijss/7102.51.0101, DOI 10.36108/IJSS/7102.51.0101]
   Michael TO, 2024, SOC SCI-BASEL, V13, DOI 10.3390/socsci13020089
   Muzvidziwa V., 2001, Journal of Contemporary African Studies, V19, P67, DOI 10.1080/02589000124044
   National Bureau of Statistics, 2020, Demographic Statistics Bulletin
   Ngcamu BS, 2023, NAT HAZARDS, V118, P977, DOI 10.1007/s11069-023-06070-2
   Ntali Y. M., 2023, WORLD DEV SUSTAINABI, V2, P100040, DOI [10.1016/j.wds.2022.100040, DOI 10.1016/J.WDS.2022.100040]
   Nya EL, 2023, WATER-SUI, V15, DOI 10.3390/w15081467
   O'Brien BC, 2014, ACAD MED, V89, P1245, DOI 10.1097/ACM.0000000000000388
   Ogunleye O., 2023, Int. J. Disaster Dev. Interface, V3, P17, DOI [10.53824/ijddi.v3i2.51, DOI 10.53824/IJDDI.V3I2.51]
   Ongoma V., 2023, Flooding in Nigeria is on the rise-good forecasts, drains and risk maps are urgently needed
   Otto FEL, 2023, ENVIRON RES-CLIM, V2, DOI 10.1088/2752-5295/acbfd5
   Pautz A., 2011, The admissible contents of experience, P114
   Perelli C, 2024, ECOL ECON, V219, DOI 10.1016/j.ecolecon.2024.108145
   Petracca M., 2022, EUMETSAT
   Prince A. I., 2023, Int. J. Agric. Earth Sci, V9, P42023, DOI [10.56201/ijaes.v9.no4.2023.pg1.27, DOI 10.56201/IJAES.V9.NO4.2023.PG1.27]
   Rabbani MMG, 2022, POPUL ENVIRON, V44, P99, DOI 10.1007/s11111-022-00402-3
   RAY C, 1982, PSYCHOL MED, V12, P385, DOI 10.1017/S0033291700046729
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Rolfe G, 2006, J ADV NURS, V53, P304, DOI 10.1111/j.1365-2648.2006.03727.x
   Shu EG, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-43493-8
   Suhr F, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-022-12584-4
   Tan J, 2022, CLIM DEV, V14, P1, DOI 10.1080/17565529.2021.1877102
   Tonye-Scent G. A., 2020, Nigerian J. Sociol. Anthropol, V18, P48, DOI [10.36108/NJSA/0202/81(0230), DOI 10.36108/NJSA/0202/81(0230)]
   UN Environment Programme, 2024, How climate change is making record-breaking floods the new normal
   United Nations, 2023, COP28 UAE EV YOU NEE
   United Nations Development Programme, 2024, UNDP human development report
   Van Praag L, 2022, HUM ECOL, V50, P347, DOI 10.1007/s10745-021-00278-1
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   Wilson Caitlin, 2022, Br Paramed J, V7, P43, DOI 10.29045/14784726.2022.09.7.2.43
   Xiao TY, 2022, POPUL ENVIRON, V43, P289, DOI 10.1007/s11111-021-00392-8
   Yip SY, 2024, INT J RES METHOD EDU, V47, P222, DOI 10.1080/1743727X.2023.2266375
NR 56
TC 0
Z9 0
U1 4
U2 4
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2673-4524
J9 FRONT SUSTAIN
JI Front. Sustain.
PD APR 5
PY 2024
VL 5
AR 1385513
DI 10.3389/frsus.2024.1385513
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 YP1P6
UT WOS:001269600600001
OA gold
DA 2025-01-10
ER

PT J
AU Remes, J
   Pulkrab, K
AF Remes, Jiri
   Pulkrab, Karel
TI INFLUENCE OF THE SILVICULTURAL SYSTEM, SPECIES COMPOSITION AND THE
   FLUCTUATION OF WOOD PRICES ON THE ECONOMIC RESULT OF FOREST MANAGEMENT
SO REPORTS OF FORESTRY RESEARCH-ZPRAVY LESNICKEHO VYZKUMU
LA Czech
DT Article
DE clear-cut forest regeneration; shelterwood forest regeneration; costs
   and revenues; bark beetle calamity; forest production profit; conversion
   of forest stands; adaptation to climate change
ID MODEL
AB The aim of this paper was to assess the influence of the silvicultural system (clear-cut and shelterwood), species composition of forest stands, in relation to the fluctuation of raw wood prices, on the economic results of forest management. Model analyses were performed on the example of the conditions of the CZU Forests, specifically for the third forest vegetation zone, SLT 3K. The input to the model evaluation was: data on the growth and production of the investigated tree species in the given site conditions from growth tables, the costs of forestry measures were derived from standards, the assortment was carried out on the basis of assortment tables, the prices of assortments of raw wood were taken from the data of the Czech Statistical Office for 2015 and 2019. The synthetic result of the model evaluations was the gross profit of forest production per hectare and year. The results of the analysis prove the economic advantage and greater stability of the shelterwood silvicultural system, especially with regard to lower silvicultural costs, higher volume of timber production and mutual compensation of the decrease and increase in the prices of raw wood of the evaluated tree species.
C1 [Remes, Jiri; Pulkrab, Karel] Ceska Zemedelska Univ Praze, Fak Lesnicka & Drevarska, Katedra Pestovani Lesu, Katedra lesnicke & drevarske ekon, Kamycka 129, Prague 6, Suchdol, Czech Republic.
RP Remes, J (corresponding author), Ceska Zemedelska Univ Praze, Fak Lesnicka & Drevarska, Katedra Pestovani Lesu, Katedra lesnicke & drevarske ekon, Kamycka 129, Prague 6, Suchdol, Czech Republic.
EM remes@fld.czu.cz
RI Remeš, Jiří/AAD-1979-2021
CR Brang P, 2014, FORESTRY, V87, P492, DOI 10.1093/forestry/cpu018
   Brèteau-Amores S, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.04.006
   CERNf M., 1996, Rustove a taxgni tabulky hlavnich drevin Ceske republiky (smrk, borovice, buk, dub)
   Frischbier N, 2019, EUR J FOREST RES, V138, P1015, DOI 10.1007/s10342-019-01222-1
   Hagerman SM, 2018, FRONT ECOL ENVIRON, V16, P579, DOI 10.1002/fee.1974
   Hanel M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27464-4
   Hanewinkel M, 2002, FORESTRY, V75, P473, DOI 10.1093/forestry/75.4.473
   Klepacka AM, 2017, INT FOREST REV, V19, P158
   Knoke T., 2009, Schweizerische Zeitschrift fur Forstwesen, V160, P152, DOI 10.3188/szf.2009.0152
   Knoke T, 2001, FOREST ECOL MANAG, V151, P163, DOI 10.1016/S0378-1127(00)00706-4
   Kupcak V., 2019, ANTOLOGY DOPADY KURO, V5, P19
   Möhring B, 2008, FOREST POLICY ECON, V10, P98, DOI 10.1016/j.forpol.2007.06.004
   MOHR C., 1999, Schweizerische Zeitschrift fiir Forstwesen, V150, P49
   Mze, 2022, Zprava O Stavu Lesa a Lesniho Hospodarstvi 2021
   NOUZA J., 2003, Vykonove normy v lesnim hospodarstvi
   O'Hara KL, 2016, FORESTRY, V89, P1, DOI 10.1093/forestry/cpv043
   PAkEZ J, 1987, Lesnictvi, V33, P919
   PAkEZ J, Lesnictvi, V33, P1075
   PLIVA K, 2000, Trvale udrzitelne obhospodarovani lesu podle souboru lesnich typu
   Pulkrab K, 2010, REP FOR RES, V55, P16
   Remes J., 2018, Journal of Landscape Ecology, V11, P17
   Remes J., 2011, Zpravy Lesnickeho Vyzkumu, V56, P20
   Remes J., 2022, POSTUPY HOSPODARENI, P5
   Remes J, 2020, FORESTS, V11, DOI 10.3390/f11040431
   Stefancík I, 2018, CENT EURO FOR J, V64, P24, DOI 10.1515/forj-2017-0012
   TESAk V., 2004, Dlouhodoba prestavba jehlicnateho lesa na Hetline - Kutnohorske hospodarstvi
   Toth D, 2020, FORESTS, V11, DOI 10.3390/f11030283
NR 27
TC 1
Z9 1
U1 0
U2 0
PU FORESTRY & GAME MANAGEMENT RESEARCH INST
PI JILOVISTE
PA STRNADY 136, JILOVISTE, 25202, CZECH REPUBLIC
SN 0322-9688
EI 1805-9872
J9 REP FOR RES
JI Rep. For. Res.
PY 2024
VL 69
IS 1
BP 48
EP 56
DI 10.59269/ZLV/2024/1/718
PG 9
WC Forestry
WE Emerging Sources Citation Index (ESCI)
SC Forestry
GA NB9J0
UT WOS:001198098300004
DA 2025-01-10
ER

PT J
AU Owen, G
AF Owen, Gigi
TI Evaluating socially engaged climate research: Scientists' visions of a
   climate resilient US Southwest
SO RESEARCH EVALUATION
LA English
DT Article
DE program evaluation; societal impacts; collaborative research; climate
   research
ID TRANSDISCIPLINARY RESEARCH; SCIENCE; KNOWLEDGE; POLICY; IMPACT;
   INDICATORS; DROUGHT
AB Socially engaged science and collaborative research practices offer promising ways to address complex environmental and societal problems like climate variability and climate change. However, it is unclear if and how these types of collaborative knowledge production result in tangible impacts. Drawing from a 6-year evaluation, this article investigates the outcomes and contributions of ten collaborative research projects supported by a federally funded climate research program in the US Southwest. Based on a series of narratives that outline researchers' objectives, anticipated outcomes are compared to those that emerged over a 6-year period. Results indicate several contributions that the program has made toward raising awareness about climate issues in the US Southwest, increasing capacity to adapt to climate change and climate variability, and building lasting individual and institutional collaborative relationships. However, researchers sometimes envision direct applications of their work, such as informing policy, planning, and decision-making, to be different than what occurred within the 6-year timeframe. Further exploration of these results reveals implicit assumptions in understanding how scientific information translates into use. This article offers insight into how researchers envision their impact, the management and development of a mission-oriented research program, and the use of evaluation to understand how collaborative research contributes to societal and environmental change.
C1 [Owen, Gigi] Univ Arizona, Climate Assessment Southwest, ENR2 Bldg,POB 210137, Tucson, AZ 85721 USA.
C3 University of Arizona
RP Owen, G (corresponding author), Univ Arizona, Climate Assessment Southwest, ENR2 Bldg,POB 210137, Tucson, AZ 85721 USA.
EM gigi@arizona.edu
OI Owen, Gigi/0000-0001-9480-236X
CR [Anonymous], 2008, THESIS U COLORADO
   [Anonymous], 2007, INTRO ACTION RES SOC, DOI DOI 10.4135/9781412984614
   Beier P, 2017, CONSERV LETT, V10, P288, DOI 10.1111/conl.12300
   Belcher B, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.17
   Belcher BM, 2016, RES EVALUAT, V25, P1, DOI 10.1093/reseval/rvv025
   Boaz A, 2009, SCI PUBL POLICY, V36, P255, DOI 10.3152/030234209X436545
   Bush V, 1945, Science: The Endless Frontier
   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
   Dennis Michael Aaron, 2015, DREAMSCAPES MODERNIT
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Edwards DM, 2020, FOREST POLICY ECON, V114, DOI 10.1016/j.forpol.2019.101975
   Fazey I, 2014, GLOBAL ENVIRON CHANG, V25, P204, DOI 10.1016/j.gloenvcha.2013.12.012
   Felt U, 2016, SCI TECHNOL HUM VAL, V41, P732, DOI 10.1177/0162243915626989
   Ferguson D. B., 2009, WHOS PAYING ATTENTIO
   Ferguson DB, 2016, WEATHER CLIM SOC, V8, P345, DOI 10.1175/WCAS-D-15-0060.1
   Ferguson DB., 2016, Climate in context: Science and Society Partnering for Adaptation, P215
   Friedman VJ, 2006, AM J EVAL, V27, P201, DOI 10.1177/1098214006288284
   Frisvold G, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051548
   Funnell S. C., 2011, Purposeful program theory: Effective use of theories of change and logic models
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   Garfin G., 2017, DEV INTEGRATED HEAT, DOI [10.7289/V5930R6Q, DOI 10.7289/V5930R6Q]
   GIBBONS M., 1997, The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hunt SD, 2008, ORGAN STUD, V29, P1469, DOI 10.1177/0170840608099521
   Jagannathan K, 2020, CURR OPIN ENV SUST, V42, P22, DOI 10.1016/j.cosust.2019.11.010
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jakobsen CH, 2004, FOREST POLICY ECON, V6, P15, DOI 10.1016/S1389-9341(02)00080-1
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Jasanoff S., 2015, Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power, P1, DOI [10.7208/chicago/9780226276663.001.0001, DOI 10.7208/CHICAGO/9780226276663.001.0001]
   Jasanoff S, 2009, MINERVA, V47, P119, DOI 10.1007/s11024-009-9124-4
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kerna A, 2017, WATER ECON POLICY, V3, DOI 10.1142/S2382624X16500351
   Kothari A, 2011, KNOWL MAN RES PRACT, V9, P203, DOI 10.1057/kmrp.2011.16
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   LeRoy S., 2016, EOS, V97, DOI [10.1029/2016EO048971, DOI 10.1029/2016EO048971]
   Lewin K, 1946, J SOC ISSUES, V2, P34, DOI 10.1111/j.1540-4560.1946.tb02295.x
   Mach KJ, 2020, CURR OPIN ENV SUST, V42, P30, DOI 10.1016/j.cosust.2020.01.002
   McCabe GJ, 2017, EARTH INTERACT, V21, DOI 10.1175/EI-D-17-0007.1
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Meadow A. M., 2018, CLIMATE PROFILE CITY
   Meadow A. M., 2017, ETHNOHISTORY NOAA RI
   Meadow AM, 2013, B AM METEOROL SOC, V94, P1507, DOI 10.1175/BAMS-D-11-00168.1
   Meagher L, 2013, EVID POLICY, V9, P409, DOI 10.1332/174426413X14818994998468
   Meagher LR, 2017, RES EVALUAT, V26, P15, DOI 10.1093/reseval/rvw024
   Meehan K, 2018, SCI TECHNOL HUM VAL, V43, P759, DOI 10.1177/0162243917745601
   Morton S, 2015, RES EVALUAT, V24, P405, DOI 10.1093/reseval/rvv016
   National Science Foundation (NSF), 2014, 15008 NSF
   Nowotny H., 2001, RE THINKING SCI KNOW
   O'Donnell M., 2010, Water Banks: A Tool for Enhancing Water Supply Reliability
   Owen G, 2019, CLIMATIC CHANGE, V157, P151, DOI 10.1007/s10584-019-02466-x
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pohl C, 2005, FUTURES, V37, P1159, DOI 10.1016/j.futures.2005.02.009
   Pohl C., 2008, Handbook of transdisciplinary research, P427, DOI [DOI 10.1007/978-1-4020-6699-328, DOI 10.1007/978-1-4020-6699-326]
   Reed M., 2018, SPE INT C HLTH SAFET, DOI DOI 10.2118/73856-MS
   Rodopoulou S, 2014, ENVIRON RES, V129, P39, DOI 10.1016/j.envres.2013.12.006
   Roux DJ, 2010, ENVIRON SCI POLICY, V13, P733, DOI 10.1016/j.envsci.2010.08.002
   Spaapen J, 2011, RES EVALUAT, V20, P211, DOI 10.3152/095820211X12941371876742
   Stufflebeam D., 2001, New Directions for Evaluation: Evaluation Models, V89, P7, DOI DOI 10.1002/EV.3
   U.S. Bureau of Reclamation, 2012, COL RIV BAS WAT SUPP
   Udall B, 2017, WATER RESOUR RES, V53, P2404, DOI 10.1002/2016WR019638
   van Drooge L, 2022, J TECHNOL TRANSFER, V47, P747, DOI 10.1007/s10961-017-9607-7
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wiek A, 2014, RES EVALUAT, V23, P117, DOI 10.1093/reseval/rvt031
   Wiek A, 2012, SUSTAIN SCI, V7, P5, DOI 10.1007/s11625-011-0148-y
   Williams R., 2019, GUIDE DOCUMENTING EV
   Woodhouse CA, 2016, GEOPHYS RES LETT, V43, P2174, DOI 10.1002/2015GL067613
   Zscheischler J, 2018, SUSTAIN SCI, V13, P1061, DOI 10.1007/s11625-018-0556-3
NR 70
TC 3
Z9 3
U1 1
U2 5
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0958-2029
EI 1471-5449
J9 RES EVALUAT
JI Res. Evaluat.
PD JAN
PY 2021
VL 30
IS 1
BP 26
EP 38
DI 10.1093/reseval/rvaa028
PG 13
WC Information Science & Library Science
WE Social Science Citation Index (SSCI)
SC Information Science & Library Science
GA WS1MP
UT WOS:000714953600003
DA 2025-01-10
ER

PT J
AU Miller, DS
   Carmody, SB
AF Miller, D. Shane
   Carmody, Stephen B.
TI Fire on the Mountain: The Ideal Free Distribution and Early
   Hunter-gatherer Demography in the Tennessee River Drainage, USA
SO ENVIRONMENTAL ARCHAEOLOGY
LA English
DT Article
DE Ideal free distribution; American Southeast; Appalachian Mountains;
   Paleoindian; Archaic; Landscape Archaeology
ID NORTH-AMERICA; OAK FORESTS; STRATIGRAPHY; RECOVERY; DYNAMICS; BIAS
AB The colonisation of North America and subsequent adaptation to climate change are major research foci in the American Southeast. Here, we used the Ideal Free Distribution from Behavioural Ecology and projections of fossil pollen to generate predictions for landscape use. We tested these predictions against the distribution of previously recorded projectile points in the Paleoindian Database of the Americas and archaeological sites in the Digital Index of North American Archaeology for the Tennessee River drainage from the appearance of Clovis sites in the terminal Pleistocene though the Late Holocene (similar to 13,250-3,000 cal BP). We found that the distribution of points and sites were initially skewed towards lower elevations, and then spread to higher elevations over the course of the Younger Dryas into the Middle Holocene, which is consistent with predictions of the Ideal Free Distribution. However, during the Middle Holocene, sites are more clustered, which is consistent with a shift to an Ideal Free Distribution with Allee effect that was likely driven by a broader distribution of oak-hickory forests. Finally, the distribution of sites after the Middle Holocene was more dispersed, which is consistent with a shift to an Ideal Despotic Distribution.
C1 [Miller, D. Shane] Mississippi State Univ, Dept Anthropol & Middle Eastern Cultures, POB AR, Starkville, MS 39762 USA.
   [Carmody, Stephen B.] Troy Univ, Dept Social Sci, Troy, AL USA.
C3 Mississippi State University; Troy University System; Troy University
RP Miller, DS (corresponding author), Mississippi State Univ, Dept Anthropol & Middle Eastern Cultures, POB AR, Starkville, MS 39762 USA.
EM dsm333@msstate.edu
OI Carmody, Stephen B/0000-0002-7412-4191
FU SRI Foundation
FX This work was supported by the SRI Foundation.
CR Abrams MD, 2008, HOLOCENE, V18, P1123, DOI 10.1177/0959683608095581
   Abrams MD, 2005, NORTH J APPL FOR, V22, P190, DOI 10.1093/njaf/22.3.190
   ABRAMS MD, 1992, BIOSCIENCE, V42, P346, DOI 10.2307/1311781
   Alley RB, 2000, P NATL ACAD SCI USA, V97, P1331, DOI 10.1073/pnas.97.4.1331
   Anderson David G., 2012, RECENT DEV S E ARCHA
   Anderson DavidG., 2007, CLIMATE CHANGE CULTU, P457
   Anderson DavidG., 2010, ARCHAEOLOGY E N AM, V38, P1, DOI DOI 10.1016/j.quaint.2011.04.020
   Anderson DavidG., 2015, PALEO AM, V1, P7, DOI [DOI 10.1179/2055556314Z.00000000012, https://doi.org/10.1179/2055556314Z.00000000012]
   Anderson DavidG., 1996, Archaeology of the Mid-Holocene Southeast, P157
   Andrefsky W, 2009, J ARCHAEOL RES, V17, P65, DOI 10.1007/s10814-008-9026-2
   [Anonymous], 2014, THESIS
   [Anonymous], 2001, Constructing Frames of Reference: an Analytical Method for Archaeological Theory Building Using Ethnographic and Environmental Data Sets
   Asch Nancy B., 1972, 24 ILL STAT MUS
   Ballard JP, 2017, PALYNOLOGY, V41, P216, DOI 10.1080/01916122.2016.1156588
   Ballard Joanne P., 2016, THESIS
   Bell AV, 2014, HUM NATURE-INT BIOS, V25, P121, DOI 10.1007/s12110-014-9190-7
   BRAKENRIDGE GR, 1984, GEOL SOC AM BULL, V95, P9, DOI 10.1130/0016-7606(1984)95<9:ASARDA>2.0.CO;2
   Broster JohnB., 2013, The Eastern Fluted Point Tradition, P299
   Brown JamesA., 1983, ARCHAIC HUNTERS GATH, P165
   Buchanan B, 2003, N AM ARCHAEOL, V24, P311, DOI 10.2190/PG7K-YCWR-2EXW-TNGW
   Carmody Stephen., 2014, THESIS
   Carmody Stephen., 2009, THESIS
   CHARNOV EL, 1976, THEOR POPUL BIOL, V9, P129, DOI 10.1016/0040-5809(76)90040-X
   Codding BF, 2013, P NATL ACAD SCI USA, V110, P14569, DOI 10.1073/pnas.1302008110
   Coe JoffreLanning., 1964, Transactions of the American Philosophical Society, V54
   Cohen J., 1988, STAT POWER ANAL BEHA
   Cramer H., 1946, Mathematical Methods of Statistics
   Delcourt H.R., 1985, POLLEN RECORDS LATE, P1
   DELCOURT PA, 1983, QUATERNARY RES, V19, P265, DOI 10.1016/0033-5894(83)90010-8
   DeVore William E., 2013, THESIS
   DUNN OJ, 1961, J AM STAT ASSOC, V56, P52, DOI 10.2307/2282330
   ESRI, 2018, ARCGIS REL 10 6
   Fenneman N.M., 1938, PHYSIOGRAPHY E US
   Fogelin L, 2007, AM ANTIQUITY, V72, P603, DOI 10.2307/25470436
   FRETWELL S D, 1969, Acta Biotheoretica, V19, P16, DOI 10.1007/BF01601953
   Gardner P., 1997, People, Plants, and Landscape: Studies in Paleoethnobotany, P161
   Goodyear AlbertC., 1999, ICE AGE PEOPLES N AM, P432
   Gremillion KJ, 2002, WOODLAND SOUTHEAST, P483
   Gremillion KristenJ., 2018, Food Production in Native North America An Archaeological Perspective
   Hollenbach KandaceD., 2007, FORAGERS TERMINAL PL, P132
   Hulse D.C., 1975, HDB ALABAMA ARCHAE 1
   Jefferies RW, 2004, SIGNS OF POWER: THE RISE OF CULTURAL COMPLEXITY IN THE SOUTHEAST, P71
   Joseph William, 2018, SE ARCH C AUG GEORG
   Kansa EC, 2018, ANTIQUITY, V92, P490, DOI 10.15184/aqy.2018.32
   KELLY RL, 1988, AM ANTIQUITY, V53, P717, DOI 10.2307/281115
   Kelly RL, 2013, LIFEWAYS OF HUNTER-GATHERERS: THE FORAGING SPECTRUM, pXV
   Kennett D, 2006, ORIG HUM BEHAV, V1, P265
   Kennett DJ, 2008, TERRA AUSTRALIS, V29, P87
   Lane Leon., 2001, ARCHAEOLOGY APPALACH, P88
   Lepper Bradley.T., 1985, Midcontinental Journal of Archaeology, V10, P241
   Lepper BradleyT., 1983, Midcontinental Journal of Archaeology, V8, P269
   Liu Y, 2013, QUATERNARY RES, V79, P189, DOI 10.1016/j.yqres.2012.12.005
   Maggard Greg., 2008, ARCHAEOLOGY KENTUCKY, P109
   McClure SB, 2006, ORIG HUM BEHAV, V1, P197
   McGahey SamuelO., 2000, MISSISSIPPI PROJECTI
   McNutt CharlesH., 2008, SE ARCHAEOLOGY, V27, P45
   Meeks Scott C., 2000, 77 U AL MUS OFF ARCH
   Miller DS, 2016, AM ANTIQUITY, V81, P697, DOI 10.7183/0002-7316.81.4.697
   Miller D. Shane., 2016, TENNESSEE ARCHAEOLOG, V8, P81
   Miller D.Shane., 2018, From Colonization to Domestication: Population, Environment, and the Origins of Agriculture in Eastern North America
   Moore CR, 2010, WORLD ARCHAEOL, V42, P595, DOI 10.1080/00438243.2010.517675
   MORAN PAP, 1950, BIOMETRIKA, V37, P17, DOI 10.2307/2332142
   Mueller NG, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.92
   Munson Patrick J., 1986, HICKORY SILIVICULTUR
   Munson Patrick J., 1984, EXPT OBSERVATIONS AB
   NED (National Elevation Dataset), 1999, NAT EL DAT
   O'Donoughue J., 2007, CURRENT RES PLEISTOC, V24, P126
   Pearson K, 1900, PHILOS MAG, V50, P157, DOI 10.1080/14786440009463897
   PERSKY J, 1995, J ECON PERSPECT, V9, P221, DOI 10.1257/jep.9.2.221
   Prasciunas MM, 2011, AM ANTIQUITY, V76, P107, DOI 10.7183/0002-7316.76.1.107
   Prufer KM, 2017, J ANTHROPOL ARCHAEOL, V45, P53, DOI 10.1016/j.jaa.2016.11.003
   R Core Team, 2017, R LANG ENV STAT COMP
   Robinson E, 2019, J ARCHAEOL SCI, V101, P63, DOI 10.1016/j.jas.2018.11.006
   Ross CT, 2015, J THEOR BIOL, V387, P76, DOI 10.1016/j.jtbi.2015.09.022
   Salvatore Mangiafico, 2019, RCOMPANION PACKAGE R
   Sassaman KennethE., 2007, SE ARCHAEOLOGY, V26, P196
   SCHOPMEYER CJ, 1974, USDA AGR HDB, V450
   Seeman M.F., 1984, Midcontinental Journal of Archaeology, V9, P227
   Sherwood SC, 2004, AM ANTIQUITY, V69, P533, DOI 10.2307/4128405
   Shott MichaelJ., 2002, MIDCONT J ARCHAEOL, V27, P89
   Shott MJ, 2004, N AM ARCHAEOL, V25, P189, DOI 10.2190/RC4Y-5T2E-4L7X-22FB
   Smith Bruce., 1986, ADV WORLD ARCHAEOLOG, V5, P1
   Smith BD, 2009, P NATL ACAD SCI USA, V106, P6561, DOI 10.1073/pnas.0901846106
   Smith E.A., 1999, ADAPTATION HUMAN BEH, P27
   Smith MariaO., 1996, Archaeology of the Mid-Holocene Southeast, P134
   Smith MO., 1995, SE ARCHAEOLOGY, V14, P60
   Stephens PA, 1999, OIKOS, V87, P185, DOI 10.2307/3547011
   Stuiver M, 1998, RADIOCARBON, V40, P1041, DOI 10.1017/S0033822200019123
   Surovell TA, 2009, J ARCHAEOL SCI, V36, P1715, DOI 10.1016/j.jas.2009.03.029
   Sutherland W.J., 1996, INDIVIDUAL BEHAV POP
   Tallavaara M, 2018, P NATL ACAD SCI USA, V115, P1232, DOI 10.1073/pnas.1715638115
   Tremayne AH, 2017, J ANTHROPOL ARCHAEOL, V45, P81, DOI 10.1016/j.jaa.2016.11.006
   Tune JesseW., 2016, PaleoAmerica, V2, P261, DOI [10.1080/20555563.2016.1199193, DOI 10.1080/20555563.2016.1199193, https://doi.org/10.1080/20555563.2016.1199193]
   United States Geological Survey (USGS), 2001, NAT HYDR DAT NHD
   Wei LM, 2012, PROCEEDINGS OF THE SECOND NORTHEAST ASIA INTERNATIONAL SYMPOSIUM ON LANGUAGE, LITERATURE AND TRANSLATION, P74
   White AA, 2013, J ANTHROPOL ARCHAEOL, V32, P122, DOI 10.1016/j.jaa.2012.12.003
   Whyte ThomasR., 2007, Southeastern Archaeology, V26, P134
   Williams JW, 2004, ECOL MONOGR, V74, P309, DOI 10.1890/02-4045
   Winterhalder B, 2000, EVOL ANTHROPOL, V9, P51
   Winterhalder B, 2006, ORIG HUM BEHAV, V1, P1
   Winterhalder B, 2015, ENVIRON ARCHAEOL, V20, P337, DOI 10.1179/1749631415Y.0000000025
   Winterhalder B, 2010, J ANTHROPOL ARCHAEOL, V29, P469, DOI 10.1016/j.jaa.2010.07.001
   Yarnell RA., 1985, SE ARCHAEOLOGY, V4, P93
NR 103
TC 10
Z9 12
U1 0
U2 6
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1461-4103
EI 1749-6314
J9 ENVIRON ARCHAEOL
JI Environ. Archaeol.
PD JUL 4
PY 2022
VL 27
IS 4
SI SI
BP 357
EP 371
DI 10.1080/14614103.2020.1777054
EA JUN 2020
PG 15
WC Archaeology; Environmental Sciences; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Archaeology; Environmental Sciences & Ecology; Geology
GA 2L0NI
UT WOS:000543646000001
DA 2025-01-10
ER

PT J
AU Old, J
   McKnight, D
   Bennett, R
   Grzybek, R
AF Old, Joanne
   McKnight, David
   Bennett, Richard
   Grzybek, Roland
TI A catchment partnership approach to delivering natural flood management
   in the Evenlode, UK
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING
   SUSTAINABILITY
LA English
DT Article
DE environment; floods & floodworks; sustainability
AB Adapting to climate change and its impacts on water resources is one of the major challenges facing the UK. In the first scheme of its kind in the Thames basin, this paper describes how natural flood management (NFM) is being piloted in the Littlestock Brook tributary of the Evenlode catchment. This 5-year scheme (2016-2021) explores the delivery mechanisms and assesses the effectiveness of NFM measures to reduce flood risk in Milton-under-Wychwood, improve water quality and create habitat. It has secured 640 pound 000 from Environment Agency programmes, the Thames Regional Flood and Coastal Committee, other partners and landowners. In 2018, ten field corner bunds were created with a combined storage capacity of 26 000 m(3). Woody dams in the brook divert high flows into these flood storage areas. Critical to success is integrated delivery through the Evenlode Catchment Partnership and engagement of the local community. Catchment partnerships deliver a range of environmental, social and economic benefits, and directly support many of the ambitions under the government's 25-Year Environment Plan and the Water Framework Directive. Collaborative working with Thames Water, the Department for Environment, Food and Rural Affairs, consultants and academics has enabled the project to utilise existing delivery mechanisms and to model and monitor the effectiveness of NFM.
C1 [Old, Joanne; McKnight, David] Environm Agcy, Wallingford, Oxon, England.
   [Bennett, Richard] Wild Oxfordshire, Abingdon, Oxon, England.
   [Grzybek, Roland] Thames Reg Flood & Coastal Comm, London, England.
RP Old, J (corresponding author), Environm Agcy, Wallingford, Oxon, England.
EM joanne.old@environment-agency.gov.uk
FU Environment Agency, Centre for Ecology and Hydrology, Atkins and
   Hydraulics Research Wallingford in the monitoring and modelling
   programmes; Robert Oates at the Thames Regional Flood and Coastal
   Committee
FX The authors would like to acknowledge the invaluable contributions of
   all the partner organisations in the Evenlode Catchment Partnership, in
   particular Vaughan Lewis (Windrush AEC Ltd), David Gasca (Atkins),
   Hilary Phillips, Anne Miller and Ann Berkeley (Wild Oxfordshire),
   Laurence King (West Oxfordshire District Council), Sophie Edwards and
   Helena Soteriou (Thames Water) and Sharon Williams (Wychwood Project);
   the time, patience and enthusiasm of the landowners and communities
   (Milton Parish Council, Bruern Estate and Honeydale Farm) notably David
   Astor, Matt Childs and Chris Trotman; the support of the Environment
   Agency, Centre for Ecology and Hydrology, Atkins and Hydraulics Research
   Wallingford in the monitoring and modelling programmes; and Robert Oates
   at the Thames Regional Flood and Coastal Committee members for their
   initial investment and ongoing financial support for this lowland pilot
   scheme.
NR 0
TC 3
Z9 3
U1 1
U2 39
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 1478-4629
EI 1751-7680
J9 P I CIVIL ENG-ENG SU
JI Proc. Inst. Civ. Eng.-Eng. Sustain.
PD SEP
PY 2019
VL 172
IS 7
BP 327
EP 334
DI 10.1680/jensu.17.00038
PG 8
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering
GA IX6MB
UT WOS:000485796600002
DA 2025-01-10
ER

EF