dc.creator | Singh P.K., Papageorgiou K., Chudasama H., Papageorgiou E.I. | en |
dc.date.accessioned | 2023-01-31T09:56:35Z | |
dc.date.available | 2023-01-31T09:56:35Z | |
dc.date.issued | 2019 | |
dc.identifier | 10.3390/su11236655 | |
dc.identifier.issn | 20711050 | |
dc.identifier.uri | http://hdl.handle.net/11615/79014 | |
dc.description.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. | en |
dc.language.iso | en | en |
dc.source | Sustainability (Switzerland) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076682098&doi=10.3390%2fsu11236655&partnerID=40&md5=05b5e106e44216ab6b88aa0c1675f275 | |
dc.subject | climate change | en |
dc.subject | climate modeling | en |
dc.subject | decision making | en |
dc.subject | ecosystem resilience | en |
dc.subject | fuzzy mathematics | en |
dc.subject | human resource | en |
dc.subject | indigenous knowledge | en |
dc.subject | mangrove | en |
dc.subject | perception | en |
dc.subject | stakeholder | en |
dc.subject | traditional knowledge | en |
dc.subject | vulnerability | en |
dc.subject | Sundarbans | en |
dc.subject | MDPI | en |
dc.title | Evaluating the effectiveness of climate change adaptations in the world's largest Mangrove Ecosystem | en |
dc.type | journalArticle | en |