Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda

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cg.authorship.typesCGIAR multi-centreen
cg.contributor.affiliationCGIAR Research Program on Climate Change, Agriculture and Food Securityen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.crpIntegrated Systems for the Humid Tropics
cg.contributor.donorFederal Ministry for Economic Cooperation and Development, Germanyen
cg.coverage.countryUganda
cg.coverage.iso3166-alpha2UG
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierLaurence Jassogne: 0000-0002-2106-5001
cg.creator.identifierGil Gram: 0000-0002-9401-2621
cg.creator.identifierPhilippe Vaast: 0000-0002-2971-3210
cg.identifier.doihttps://doi.org/10.1007/s10457-017-0111-8en
cg.identifier.projectCCAFS: PII-FP1_IMPACT
cg.issn0167-4366en
cg.issue6en
cg.journalAgroforestry Systemsen
cg.subject.ccafsPRIORITIES AND POLICIES FOR CSAen
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen
cg.subject.iitaCLIMATE CHANGEen
cg.volume92en
dc.contributor.authorGram, Gilen
dc.contributor.authorVaast, Philippeen
dc.contributor.authorWolf, Just van deren
dc.contributor.authorJassogne, Laurence T.P.en
dc.date.accessioned2018-06-13T14:28:49Zen
dc.date.available2018-06-13T14:28:49Zen
dc.identifier.urihttps://hdl.handle.net/10568/93221
dc.titleLocal tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Ugandaen
dcterms.abstractArabica coffee (Coffea arabica) is economically important for many smallholder farmers in the Mount Elgon region of East Uganda, but its production is increasingly threatened by climate change. However, ecosystem services (ES) provided by companion trees in coffee agroforestry systems (AFS) can help farmers adapt to climate change. The objectives of this research were to develop agroforestry species recommendations and tailor these to the farmers’ needs and local context, taking into consideration gender. Local knowledge of agroforestry species and ES preferences was collected through farmer interviews and rankings. Using the Bradley-Terry approach, analysis was done along an altitudinal gradient in order to study different climate change scenarios for coffee suitability. Farmers had different needs in terms of ES and tree species at different altitudes, e.g. at low altitude they need a relatively larger set of ES to sustain their coffee production and livelihood. Local knowledge is found to be gender blind as no differences were observed in the rankings of species and ES by men and women. Ranking species by ES and ranking ES by preference is a useful method to help scientists and extension agents to use local knowledge for the development of recommendations on companion trees in AFS for smallholder farmers.en
dcterms.accessRightsOpen Access
dcterms.available2017-07-31
dcterms.bibliographicCitationGram G, Vaast P, van der Wolf J, Jassogne L. 2018. Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda. Agroforestry Systems 92(6):1625–1638.en
dcterms.extentp. 1625-1638en
dcterms.issued2018-12
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectclimate changeen
dcterms.subjectagricultureen
dcterms.subjectfarmer perceptionsen
dcterms.subjectcoffeeen
dcterms.typeJournal Article

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