Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms
This paper presents the main features of a unique decision-support tool developed for selecting tree species in coffee and cocoa agroforestry systems. This tool aims at assisting in the selection of appropriate shade trees taking into account local conditions as well as needs and preferences of smal...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge University Press
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/78583 |
| _version_ | 1855520594329600000 |
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| author | Wolf, J. van der Jassogne, Laurence T.P. Gram, G. Vaast, Philippe |
| author_browse | Gram, G. Jassogne, Laurence T.P. Vaast, Philippe Wolf, J. van der |
| author_facet | Wolf, J. van der Jassogne, Laurence T.P. Gram, G. Vaast, Philippe |
| author_sort | Wolf, J. van der |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper presents the main features of a unique decision-support tool developed for selecting tree species in coffee and cocoa agroforestry systems. This tool aims at assisting in the selection of appropriate shade trees taking into account local conditions as well as needs and preferences of smallholder farmers while maximizing ecosystem services from plot to landscape level. This user-friendly and practical tool provides site-specific recommendations on tree species selection via simple graphical displays and is targeted towards extension services and stakeholders directly involved in sustainable agroforestry and adaptation to climate change. The tool is based on a simple protocol to collect local agroforestry knowledge through farmers’ interviews and rankings of tree species with respect to locally perceived key ecosystem services. The data
collected are first analysed using the BradleyTerry2 package in R, yielding the ranking scores that are used in the decision-support tool. Originally developed for coffee and cocoa systems of Uganda and Ghana, this tool can be extended to other producing regions of the world as well as to other cropping systems. The tool will be tested to see if repeated assessments show consistent ranking scores, and to see if the use of the tool by extension workers improves their shade tree advice to local farmers. |
| format | Journal Article |
| id | CGSpace78583 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | dspace |
| spelling | CGSpace785832025-11-11T10:10:37Z Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms Wolf, J. van der Jassogne, Laurence T.P. Gram, G. Vaast, Philippe agroforestry cocoa (plant) coffee cropping systems local knowledge decision support tools smallholders This paper presents the main features of a unique decision-support tool developed for selecting tree species in coffee and cocoa agroforestry systems. This tool aims at assisting in the selection of appropriate shade trees taking into account local conditions as well as needs and preferences of smallholder farmers while maximizing ecosystem services from plot to landscape level. This user-friendly and practical tool provides site-specific recommendations on tree species selection via simple graphical displays and is targeted towards extension services and stakeholders directly involved in sustainable agroforestry and adaptation to climate change. The tool is based on a simple protocol to collect local agroforestry knowledge through farmers’ interviews and rankings of tree species with respect to locally perceived key ecosystem services. The data collected are first analysed using the BradleyTerry2 package in R, yielding the ranking scores that are used in the decision-support tool. Originally developed for coffee and cocoa systems of Uganda and Ghana, this tool can be extended to other producing regions of the world as well as to other cropping systems. The tool will be tested to see if repeated assessments show consistent ranking scores, and to see if the use of the tool by extension workers improves their shade tree advice to local farmers. 2019-06 2017-01-04T09:24:37Z 2017-01-04T09:24:37Z Journal Article https://hdl.handle.net/10568/78583 en Open Access application/pdf Cambridge University Press Van Der Wolf, J., Jassogne, L., Gram, G. & Vaast, P. (2016). Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms. Experimental Agriculture, 1-17. |
| spellingShingle | agroforestry cocoa (plant) coffee cropping systems local knowledge decision support tools smallholders Wolf, J. van der Jassogne, Laurence T.P. Gram, G. Vaast, Philippe Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title_full | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title_fullStr | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title_full_unstemmed | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title_short | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| title_sort | turning local knowledge on agroforestry into an online decision support tool for tree selection in smallholders farms |
| topic | agroforestry cocoa (plant) coffee cropping systems local knowledge decision support tools smallholders |
| url | https://hdl.handle.net/10568/78583 |
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