Farms of the future guidelines
The farms of the future (FOTF) approach is an interactive climate adaptation, knowledge sharing and learning experience that transforms climate forecasts into field-based realities by physically taking participants on a journey to areas that already experience climatic conditions that represent plau...
| Autores principales: | , , , , , , , , , |
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| Formato: | Manual |
| Lenguaje: | Inglés |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/72816 |
| _version_ | 1855538804050362368 |
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| author | Jones, E. Arango, D. Ramírez Villegas, Julián Armando Bonilla Findji, Osana Bailey M Chaudhury A Sova, Chase Thorn, J. Helfgott, Ariella E.S. Jarvis, Andy |
| author_browse | Arango, D. Bailey M Bonilla Findji, Osana Chaudhury A Helfgott, Ariella E.S. Jarvis, Andy Jones, E. Ramírez Villegas, Julián Armando Sova, Chase Thorn, J. |
| author_facet | Jones, E. Arango, D. Ramírez Villegas, Julián Armando Bonilla Findji, Osana Bailey M Chaudhury A Sova, Chase Thorn, J. Helfgott, Ariella E.S. Jarvis, Andy |
| author_sort | Jones, E. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The farms of the future (FOTF) approach is an interactive climate adaptation, knowledge sharing and learning experience that transforms climate forecasts into field-based realities by physically taking participants on a journey to areas that already experience climatic conditions that represent plausible future climate scenarios.
The hypothesis behind this is that the knowledge exchange process can enhance a farmer’s/village’s capacity to adapt to changing climatic conditions by exposing them to innovative farming communities that have already successfully adapted their agricultural practices to various distinct climatic conditions the reference village might experience. |
| format | Manual |
| id | CGSpace72816 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| record_format | dspace |
| spelling | CGSpace728162025-11-05T17:40:27Z Farms of the future guidelines Jones, E. Arango, D. Ramírez Villegas, Julián Armando Bonilla Findji, Osana Bailey M Chaudhury A Sova, Chase Thorn, J. Helfgott, Ariella E.S. Jarvis, Andy climate change agriculture food security farms of the future analogues The farms of the future (FOTF) approach is an interactive climate adaptation, knowledge sharing and learning experience that transforms climate forecasts into field-based realities by physically taking participants on a journey to areas that already experience climatic conditions that represent plausible future climate scenarios. The hypothesis behind this is that the knowledge exchange process can enhance a farmer’s/village’s capacity to adapt to changing climatic conditions by exposing them to innovative farming communities that have already successfully adapted their agricultural practices to various distinct climatic conditions the reference village might experience. 2014-06-04 2016-04-06T20:22:18Z 2016-04-06T20:22:18Z Manual https://hdl.handle.net/10568/72816 en Open Access application/pdf Jones E, Arango D, Ramirez-Villegas J, Bonilla-Findji O, Bailey M, Chaudhury A, Sova C, Thorn J, Helfgott A, Jarvis A. 2014. Farms of the future guidelines. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | climate change agriculture food security farms of the future analogues Jones, E. Arango, D. Ramírez Villegas, Julián Armando Bonilla Findji, Osana Bailey M Chaudhury A Sova, Chase Thorn, J. Helfgott, Ariella E.S. Jarvis, Andy Farms of the future guidelines |
| title | Farms of the future guidelines |
| title_full | Farms of the future guidelines |
| title_fullStr | Farms of the future guidelines |
| title_full_unstemmed | Farms of the future guidelines |
| title_short | Farms of the future guidelines |
| title_sort | farms of the future guidelines |
| topic | climate change agriculture food security farms of the future analogues |
| url | https://hdl.handle.net/10568/72816 |
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