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Gender and endogenous knowledge inclusion for agroforestry systems improvement in Benin, West Africa.
- Source :
- Agroforestry Systems; Aug2024, Vol. 98 Issue 6, p1399-1419, 21p
- Publication Year :
- 2024
-
Abstract
- In West Africa, and Benin particularly, local forest resources can potentially contribute to both increasing and stabilizing soil productivity. However, these resources continue to be neglected with efforts instead concentrated on promoting exotic species. This study aimed to prioritize local agroforestry species on agricultural landscape by investigating the gendered, socio-demographic and agro-pedological factors of local knowledge and use of agroforestry species amongst small-holder farmers in Benin. An agroforestry inventory combined with an ethno-agroforestry survey was conducted on 364 farms with 364 farmers. A cluster analysis based on farmers' socio-demographic and agroecological factors was used to cluster farmers into two homogeneous agroforestry systems. Median score, species diversity and ecological networks were established for these two systems. Results illustrate that gendered difference exist between the priority that farmers give to multi-purpose species and this prioritization depends on priority ecosystem services for farmers and gender. Therefore, it would be useful first to consider gender and specific needs of each category of farmer to optimize the choice of agroforestry species to be promoted in such systems. The successful introduction of identified species through extension programs requires more advanced research related to the real contribution of these species to farmland fertilization, as well as the nutrient transmission pathways to associated crops in an agroforestry system to address simultaneously specific ecological, economic and socio-cultural sustainability criteria, as well as improved crop production. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01674366
- Volume :
- 98
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Agroforestry Systems
- Publication Type :
- Academic Journal
- Accession number :
- 178678024
- Full Text :
- https://doi.org/10.1007/s10457-024-01010-w