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A rapid tree diversity assessment method for cocoa agroforestry systems

dc.contributor.authorRaneri, J.E.
dc.contributor.authorOliveira, S.
dc.contributor.authorDemers, N.R.
dc.contributor.authorAsare, R.
dc.contributor.authorNuamah, S.
dc.contributor.authorDalaa, M.A.
dc.contributor.authorWeise, S.
dc.date.accessioned2021-08-18T09:27:37Z
dc.date.available2021-08-18T09:27:37Z
dc.date.issued2021-07-28
dc.identifier.citationRaneri, J.E., Oliveira, S., Demers, N.R., Asare, R., Nuamah, S., Dalaa, M.A. & Weise, S. (2021). A rapid tree diversity assessment method for cocoa agroforestry systems. Ecological Indicators, 130: 107993, 1-11.
dc.identifier.issn1470-160X
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7208
dc.description.abstractBiodiversity is recognized as an essential part of sustainable development efforts, however reducing biodiversity loss is a key global challenge that requires updated data on biodiversity status at different scales. Cocoa agroforests include tree species besides cocoa, a practice beneficial to biodiversity, ecosystem conservation and farming households. We present a stepwise procedure to test and select a method that rapidly assesses biodiversity in cocoa agroforests based primarily on species richness and counts of non-cocoa trees. Three rapid assessment methodologies (RapidBAM) with different sampling procedures were tested in three phases: calibration, testing and evaluation. Results showed the method using the lowest number of sample plots with a minimum area coverage and a consistent sampling time (regardless of farm context) provided the most accurate and straightforward assessment. Farmers accurately reported qualitatively on species, complimenting quantitative data produced by RapidBAM. Collecting biodiversity data with RapidBAM proved valuable to collect data at large-scales and is applicable to different landscapes. Monitoring biodiversity with fewer required resources than conventional methods is a relevant outcome, which can help defining efficient biodiversity-friendly farming practices.
dc.description.sponsorshipBiodiversity and Agricultural Commodities Program
dc.description.sponsorshipArmajaro Trading Limited and Chemonics International
dc.description.sponsorshipCGIAR Research Program on Forests, Trees and Agroforestry
dc.description.sponsorshipCGIAR Research Program on Water, Land and Ecosystems
dc.format.extent1-11
dc.language.isoen
dc.subjectBiodiversity
dc.subjectTheobroma cacao
dc.subjectTime
dc.subjectAssessment
dc.subjectGhana
dc.subjectAgroforestry
dc.titleA rapid tree diversity assessment method for cocoa agroforestry systems
dc.typeJournal Article
cg.contributor.crpForests, Trees and Agroforestry
cg.contributor.affiliationBioversity International
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationSolidaridad West Africa
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeNatural Resource Management
cg.identifier.bibtexciteidRENERI:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAflatoxin
cg.iitasubjectAgronomy
cg.iitasubjectBiodiversity
cg.iitasubjectCocoa
cg.iitasubjectCrop Systems
cg.iitasubjectForestry
cg.iitasubjectNatural Resource Management
cg.journalEcological Indicators
cg.notesOpen Access Article
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution-NoDerivatives 4.0 (CC BY-ND 4.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1016/j.ecolind.2021.107993
cg.iitaauthor.identifierRichard Asare: 0000-0001-6798-7821
cg.futureupdate.requiredNo
cg.identifier.issue107993
cg.identifier.volume130


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