Evaluating the Effectiveness of Climate Change Adaptations in the World’s Largest Mangrove Ecosystem
Pramod K. Singh,
Konstantinos Papageorgiou,
Harpalsinh Chudasama and
Elpiniki I. Papageorgiou
Additional contact information
Pramod K. Singh: Institute of Rural Management Anand (IRMA), Anand 388001, India
Konstantinos Papageorgiou: Computer Science Department, University of Thessaly, 35100 Lamia, Greece
Harpalsinh Chudasama: Institute of Rural Management Anand (IRMA), Anand 388001, India
Elpiniki I. Papageorgiou: Faculty of Technology, University of Thessaly, 41500 Larisa, Greece
Sustainability, 2019, vol. 11, issue 23, 1-17
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 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.
Keywords: climate change adaptation; transformative adaptation; limits to adaptation; adaptation barrier; fuzzy cognitive maps; resilience; sustainability; vulnerability; Sundarbans (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:23:p:6655-:d:290576
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