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dc.contributor.authorWolf, J. van der
dc.contributor.authorJassogne, Laurence T.P.
dc.contributor.authorGram, G.
dc.contributor.authorVaast, Philippe
dc.date.accessioned2019-12-04T11:04:34Z
dc.date.available2019-12-04T11:04:34Z
dc.date.issued2016
dc.identifier.citationVan 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.issn0014-4797
dc.identifier.urihttps://hdl.handle.net/20.500.12478/1458
dc.descriptionArticle purchased; Published online: 31 May 2016
dc.description.abstractThis 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.sponsorshipFederal Ministry for Economic Cooperation and Development, Germany
dc.format.extent1-17
dc.language.isoen
dc.subjectAgroforestry
dc.subjectCocoa (Plant)
dc.subjectCoffee
dc.subjectCropping Systems
dc.subjectLocal Knowledge
dc.subjectDecision Support Tools
dc.subjectSmallholders
dc.titleTurning local knowledge on agroforestry into an online decision-support tool for tree selection in smallholders' farms
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpForests, Trees and Agroforestry
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationKatholieke Universiteit Leuven
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique pour le Développement
cg.contributor.affiliationWorld Agroforestry Centre
cg.coverage.regionAfrica
cg.coverage.regionEast Africa
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.coverage.countryUganda
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectCocoa
cg.iitasubjectForestry
cg.iitasubjectKnowledge Management
cg.iitasubjectSmallholder Farmers
cg.journalExperimental Agriculture
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid80278
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1017/s001447971600017x


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