Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries

This policy brief uses geospatial data to analyse challenges and opportunities for linking school meal programmes (SMPs) and regenerative agriculture (RA) in Ghana, Nigeria, Kenya, and Rwanda. It maps key socio-ecological variables—including population density, biodiversity threats, agro-ecol...

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Detalles Bibliográficos
Autores principales: Del Rio Mena, Trinidad, Estrada Carmona, Natalia, Dysard, S., Samrat, Singh
Formato: Brief
Lenguaje:Inglés
Publicado: 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/177707
Descripción
Sumario:This policy brief uses geospatial data to analyse challenges and opportunities for linking school meal programmes (SMPs) and regenerative agriculture (RA) in Ghana, Nigeria, Kenya, and Rwanda. It maps key socio-ecological variables—including population density, biodiversity threats, agro-ecological zones, farm size, water risk, land degradation, poverty levels, and school attendance—to gain insights into demand and supply barriers. The analysis reveals that environmental and social crises often overlap in specific "hotspots" and that the most food-productive rural areas frequently suffer from the highest poverty. The brief concludes that this geospatial data is essential for designing targeted, locally-specific interventions, rather than a one-size-fits-all approach.