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Evaluating the effectiveness of climate change adaptations in the world's largest Mangrove Ecosystem

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Autore
Singh P.K., Papageorgiou K., Chudasama H., Papageorgiou E.I.
Data
2019
Language
en
DOI
10.3390/su11236655
Soggetto
climate change
climate modeling
decision making
ecosystem resilience
fuzzy mathematics
human resource
indigenous knowledge
mangrove
perception
stakeholder
traditional knowledge
vulnerability
Sundarbans
MDPI
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Abstract
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 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.
URI
http://hdl.handle.net/11615/79014
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