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dc.creatorSingh P.K., Papageorgiou K., Chudasama H., Papageorgiou E.I.en
dc.date.accessioned2023-01-31T09:56:35Z
dc.date.available2023-01-31T09:56:35Z
dc.date.issued2019
dc.identifier10.3390/su11236655
dc.identifier.issn20711050
dc.identifier.urihttp://hdl.handle.net/11615/79014
dc.description.abstractThe 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 effcacy 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. © 2019 by the authors.en
dc.language.isoenen
dc.sourceSustainability (Switzerland)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076682098&doi=10.3390%2fsu11236655&partnerID=40&md5=05b5e106e44216ab6b88aa0c1675f275
dc.subjectclimate changeen
dc.subjectclimate modelingen
dc.subjectdecision makingen
dc.subjectecosystem resilienceen
dc.subjectfuzzy mathematicsen
dc.subjecthuman resourceen
dc.subjectindigenous knowledgeen
dc.subjectmangroveen
dc.subjectperceptionen
dc.subjectstakeholderen
dc.subjecttraditional knowledgeen
dc.subjectvulnerabilityen
dc.subjectSundarbansen
dc.subjectMDPIen
dc.titleEvaluating the effectiveness of climate change adaptations in the world's largest Mangrove Ecosystemen
dc.typejournalArticleen


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