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The interactions between livelihood capitals and access of local communities to the forest provisioning services of the Sundarbans Mangrove Forest, Bangladesh

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  • Kibria, Abu S.M.G.
  • Costanza, Robert
  • Groves, Colin
  • Behie, Alison M.

Abstract

This study aims to understand the influence of livelihood capitals on access to provisioning services (PS) of the Sundarbans Mangrove Forest (SMF) including honey, crabs, mixed fish, shrimp, shrimp fry and fuelwood. The interactions among several livelihood capital components played significant roles in shaping the composite effect of respective livelihood capitals on the access to PS. The effect of human capital was significantly positive on people’s access to fuelwood, shrimp fry and crabs consecutively; and negative on the access to honey, shrimp and mixed fish respectively. Physical capital was likely to increase access to shrimp, shrimp fry and crabs; and decrease access to fuelwood and honey. Natural capital (i.e., land area) significantly increased the access to shrimp fry and shrimp; and reduced access to honey. Financial capital played significant positive roles in access to crabs, fuelwood and honey; and negative role in accessing mixed fish respectively. Social capital was likely to enhance access to honey and fuelwood; obstructed access to crabs, shrimp fry and shrimp. Protection of any ecosystem from over exploitation and improved wellbeing of the dependent communities can be achieved by addressing the influence of the livelihood capitals through the integrated development approach.

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  • Kibria, Abu S.M.G. & Costanza, Robert & Groves, Colin & Behie, Alison M., 2018. "The interactions between livelihood capitals and access of local communities to the forest provisioning services of the Sundarbans Mangrove Forest, Bangladesh," Ecosystem Services, Elsevier, vol. 32(PA), pages 41-49.
    • Handle: RePEc:eee:ecoser:v:32:y:2018:i:pa:p:41-49
    DOI: 10.1016/j.ecoser.2018.05.003
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    2. Kibria, Abu SMG & Costanza, Robert & Soto, José R, 2022. "Modeling the complex associations of human wellbeing dimensions in a coupled human-natural system: In contexts of marginalized communities," Ecological Modelling, Elsevier, vol. 466(C).
    3. Akbar Hossain Kanan & Francesco Pirotti & Mauro Masiero & Md Masudur Rahman, 2023. "Mapping inundation from sea level rise and its interaction with land cover in the Sundarbans mangrove forest," Climatic Change, Springer, vol. 176(8), pages 1-22, August.
    4. Wang, Xiaoqi & Zhao, Xueyan, 2023. "Farmers' perception and choice preference of grassland ecosystem services: Evidence from the northeastern region of the Qinghai-Tibet Plateau," Land Use Policy, Elsevier, vol. 132(C).
    5. Azad, Md Javed & Pritchard, Bill, 2022. "Financial capital as a shaper of households' adaptive capabilities to flood risk in northern Bangladesh," Ecological Economics, Elsevier, vol. 195(C).
    6. Barua, Sepul K. & Boscolo, Marco & Animon, Illias, 2020. "Valuing forest-based ecosystem services in Bangladesh: Implications for research and policies," Ecosystem Services, Elsevier, vol. 42(C).
    7. Dou, Yuehan & Liu, Mengxiao & Bakker, Martha & Yu, Xiubo & Carsjens, Gerrit J. & De Groot, Rudolf & Liu, Junguo, 2021. "Influence of human interventions on local perceptions of cultural ecosystem services provided by coastal landscapes: Case study of the Huiwen wetland, southern China," Ecosystem Services, Elsevier, vol. 50(C).
    8. Begum, Flora & de Bruyn, Lisa Lobry & Kristiansen, Paul & Islam, Mohammad Amirul, 2023. "Development pathways for co-management in the Sundarban mangrove forest: A multiple stakeholder perspective," Forest Policy and Economics, Elsevier, vol. 148(C).
    9. Kibria, Abu S.M.G. & Costanza, Robert & Gasparatos, Alexandros & Soto, José, 2022. "A composite human wellbeing index for ecosystem-dependent communities: A case study in the Sundarbans, Bangladesh," Ecosystem Services, Elsevier, vol. 53(C).
    10. Binglu Wu & Wenzhuo Liang & Jiening Wang & Dongxu Cui, 2022. "Rural Residents’ Perceptions of Ecosystem Services: A Study from Three Topographic Areas in Shandong Province, China," Land, MDPI, vol. 11(7), pages 1-21, July.

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