Enabling Conditions for Nature-based Solutions for Climate Adaptation in the Guinean Forests of West Africa: Evidence From Côte d’Ivoire, Ghana, and Guinea

Chris Huggins & Ghose Bishwajit

Journal of Environment and Development2025https://doi.org/10.1177/10704965251317450article
ABDC B
Weight
0.44

Abstract

This article presents findings of the baseline survey for the project “Nature-based solutions for climate adaptation in the Guinean forests of West Africa” in the context of relevant legal, policy, institutional, and gender equity issues in six biodiverse and climate-change sensitive areas in three countries: Côte d’Ivoire, Ghana, and Guinea. Quantitative and qualitative data suggests that there are differences between the perceptions and/or experiences of male and female actors of many aspects of nature-based climate adaptation, such as perceptions of vulnerability to climate change, levels of participation of women in planning and implementing climate adaptation and reforestation activities, and knowledge of the concept of biodiversity. The data suggests that statutory and customary laws and local norms generally support women’s rights to actively participate in nature-based solutions such as agroforestry, although there are challenges in ensuring that women are fully involved in planning such activities, and benefit fully from them.

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https://doi.org/https://doi.org/10.1177/10704965251317450

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@article{chris2025,
  title        = {{Enabling Conditions for Nature-based Solutions for Climate Adaptation in the Guinean Forests of West Africa: Evidence From Côte d’Ivoire, Ghana, and Guinea}},
  author       = {Chris Huggins & Ghose Bishwajit},
  journal      = {Journal of Environment and Development},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/10704965251317450},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.