| dc.contributor.author | Wolf, J. van der |
| dc.contributor.author | Jassogne, Laurence T.P. |
| dc.contributor.author | Gram, G. |
| dc.contributor.author | Vaast, Philippe |
| dc.date.accessioned | 2019-12-04T11:04:34Z |
| dc.date.available | 2019-12-04T11:04:34Z |
| dc.date.issued | 2016 |
| dc.identifier.citation | 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. |
| dc.identifier.issn | 0014-4797 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/1458 |
| dc.description | Article purchased; Published online: 31 May 2016 |
| dc.description.abstract | 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. |
| dc.description.sponsorship | Federal Ministry for Economic Cooperation and Development, Germany |
| dc.format.extent | 1-17 |
| dc.language.iso | en |
| dc.subject | Agroforestry |
| dc.subject | Cocoa (Plant) |
| dc.subject | Coffee |
| dc.subject | Cropping Systems |
| dc.subject | Local Knowledge |
| dc.subject | Decision Support Tools |
| dc.subject | Smallholders |
| dc.title | Turning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms |
| dc.type | Journal Article |
| dc.description.version | Peer Review |
| cg.contributor.crp | Forests, Trees and Agroforestry |
| cg.contributor.crp | Climate Change, Agriculture and Food Security |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.contributor.affiliation | Katholieke Universiteit Leuven |
| cg.contributor.affiliation | Centre de Coopération Internationale en Recherche Agronomique pour le Développement |
| cg.contributor.affiliation | World Agroforestry Centre |
| cg.coverage.region | Africa |
| cg.coverage.region | East Africa |
| cg.coverage.region | West Africa |
| cg.coverage.country | Ghana |
| cg.coverage.country | Uganda |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and advanced research institute |
| cg.iitasubject | Cocoa |
| cg.iitasubject | Forestry |
| cg.iitasubject | Knowledge Management |
| cg.iitasubject | Smallholder Farmers |
| cg.journal | Experimental Agriculture |
| cg.howpublished | Formally Published |
| cg.accessibilitystatus | Open Access |
| local.dspaceid | 80278 |
| cg.targetaudience | Scientists |
| cg.identifier.doi | https://dx.doi.org/10.1017/s001447971600017x |
