A rapid tree diversity assessment method for cocoa agroforestry systems

cg.authorship.typesCGIAR and advanced research institute
cg.authorship.typesCGIAR and developing country institute
cg.contributor.affiliationBioversity International and International Center for Tropical Agriculture
cg.contributor.affiliationSolidaridad West Africa
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.crpForests, Trees and Agroforestry
cg.contributor.crpWater, Land and Ecosystems
cg.contributor.donorBiodiversity and Agricultural Commodities Program
cg.contributor.donorArmajaro Trading Limited and Chemonics International
cg.coverage.countryNigeria
cg.coverage.iso3166-alpha2NG
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.creator.identifierJessica Evelyn Raneri: 0000-0002-1687-6504
cg.creator.identifierNicole Renee Demers: 0000-0002-2405-8763
cg.creator.identifierRichard Asare: 0000-0001-6798-7821
cg.creator.identifierStephan Weise: 0000-0001-9647-0741
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1016/j.ecolind.2021.107993
cg.identifier.iitathemeNATURAL RESOURCE MANAGEMENT
cg.isijournalISI Journal
cg.issn1470-160X
cg.journalEcological Indicators
cg.number107993
cg.reviewStatusPeer Review
cg.subject.alliancebiovciatAGROFORESTRY
cg.subject.alliancebiovciatBIODIVERSITY
cg.subject.alliancebiovciatCACAO
cg.subject.iitaAFLATOXIN
cg.subject.iitaAGRONOMY
cg.subject.iitaBIODIVERSITY
cg.subject.iitaCOCOA
cg.subject.iitaNATURAL RESOURCE MANAGEMENT
cg.subject.sdgSDG 15 - Life on land
cg.volume130
dc.contributor.authorRaneri, Jessica Evelyn
dc.contributor.authorOliveira, Sandra
dc.contributor.authorDemers, Nicole R.
dc.contributor.authorAsare, Richard
dc.contributor.authorNuamah, Seth
dc.contributor.authorDalaa, Mustapha Alasan
dc.contributor.authorWeise, Stephan F.
dc.date.accessioned2021-08-04T09:09:04Zen
dc.date.available2021-08-04T09:09:04Zen
dc.identifier.urihttps://hdl.handle.net/10568/114551
dc.titleA rapid tree diversity assessment method for cocoa agroforestry systemsen
dcterms.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 agro-forests 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 biodi-versity 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: cali-bration, 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 quanti-tative 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.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.available2021-07-28
dcterms.bibliographicCitationRaneri, 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. In Ecological Indicators.130: 107993. ISSN 1470-160Xen
dcterms.extentp. 1-11
dcterms.issued2021-11
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevier
dcterms.replaceshttps://hdl.handle.net/10568/114689
dcterms.subjectagroforestry systemsen
dcterms.subjectmethodsen
dcterms.subjectdata collectionen
dcterms.subjectbiodiversityen
dcterms.subjectsistemas agroforestalesen
dcterms.subjectmétodosen
dcterms.subjectcolección de datosen
dcterms.typeJournal Article

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