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Evaluating the Effectiveness of Climate Change Adaptations in the World’s Largest Mangrove Ecosystem

Author

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  • 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)

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.

Suggested Citation

  • Pramod K. Singh & Konstantinos Papageorgiou & Harpalsinh Chudasama & Elpiniki I. Papageorgiou, 2019. "Evaluating the Effectiveness of Climate Change Adaptations in the World’s Largest Mangrove Ecosystem," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6655-:d:290576
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    3. Walter Leal Filho & Franziska Wolf & Stefano Moncada & Amanda Lange Salvia & Abdul-Lateef Babatunde Balogun & Constantina Skanavis & Aristea Kounani & Patrick D. Nunn, 2022. "Transformative adaptation as a sustainable response to climate change: insights from large-scale case studies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(3), pages 1-26, March.
    4. Konstantinos Papageorgiou & Pramod K. Singh & Elpiniki Papageorgiou & Harpalsinh Chudasama & Dionysis Bochtis & George Stamoulis, 2019. "Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities," Sustainability, MDPI, vol. 12(1), pages 1-31, December.
    5. Singh, Pramod K. & Chudasama, Harpalsinh, 2023. "Geo-information-enabled village level micro-planning for enhancing common good," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Konstantinos Papageorgiou & Gustavo Carvalho & Elpiniki I. Papageorgiou & Dionysis Bochtis & George Stamoulis, 2020. "Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique," Energies, MDPI, vol. 13(6), pages 1-23, March.

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