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...
| Autores principales: | , , , |
|---|---|
| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177707 |
| _version_ | 1855536853352972288 |
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| author | Del Rio Mena, Trinidad Estrada Carmona, Natalia Dysard, S. Samrat, Singh |
| author_browse | Del Rio Mena, Trinidad Dysard, S. Estrada Carmona, Natalia Samrat, Singh |
| author_facet | Del Rio Mena, Trinidad Estrada Carmona, Natalia Dysard, S. Samrat, Singh |
| author_sort | Del Rio Mena, Trinidad |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Brief |
| id | CGSpace177707 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1777072025-11-11T02:13:53Z Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries Del Rio Mena, Trinidad Estrada Carmona, Natalia Dysard, S. Samrat, Singh agriculture agroecology 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. 2025-11-01 2025-11-10T12:44:37Z 2025-11-10T12:44:37Z Brief https://hdl.handle.net/10568/177707 en Open Access application/pdf Del Rio Mena, T.; Estrada Carmona, N.; Dysard, S.; Samrat, S. (2025) Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries. Briefing Paper 1 of 2. 7 p. |
| spellingShingle | agriculture agroecology Del Rio Mena, Trinidad Estrada Carmona, Natalia Dysard, S. Samrat, Singh Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title | Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title_full | Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title_fullStr | Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title_full_unstemmed | Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title_short | Utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions: Defining the socio-ecological landscape in four countries |
| title_sort | utilising geospatial data analysis to enhance school meals and regenerative agriculture interventions defining the socio ecological landscape in four countries |
| topic | agriculture agroecology |
| url | https://hdl.handle.net/10568/177707 |
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