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A rapid tree diversity assessment method for cocoa agroforestry systems

2021Journal article Open access
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dc.contributor.authorRaneri, Jessica E.
dc.contributor.authorOliveira, Sandra
dc.contributor.authorDemers, Nicole R.
dc.contributor.authorAsare, Richard
dc.contributor.authorNuamah, Seth
dc.contributor.authorDalaa, Mustapha A.
dc.contributor.authorWeise, Stephan
dc.date.accessioned2021-08-31T11:09:53Z
dc.date.available2021-08-31T11:09:53Z
dc.date.issued2021
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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRaneri, J. E., Oliveira, S., Demers, N. R. [et al.] (2021). A rapid tree diversity assessment method for cocoa agroforestry systems. Ecological Indicators, 130, 107993. https://doi.org/10.1016/j.ecolind.2021.107993pt_PT
dc.identifier.doi10.1016/j.ecolind.2021.107993pt_PT
dc.identifier.issn1470-160X
dc.identifier.urihttp://hdl.handle.net/10451/49368
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1470160X21006580?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectBiodiversitypt_PT
dc.subjectAgroforestrypt_PT
dc.subjectCocoapt_PT
dc.subjectRapid assessmentpt_PT
dc.subjectGhanapt_PT
dc.titleA rapid tree diversity assessment method for cocoa agroforestry systemspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage107993pt_PT
oaire.citation.titleEcological Indicatorspt_PT
oaire.citation.volume130pt_PT
person.familyNameOliveira
person.givenNameSandra
person.identifier.ciencia-id8A16-4976-FD63
person.identifier.orcid0000-0002-6253-4353
person.identifier.ridAAK-5051-2020
person.identifier.scopus-author-id17435272900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd30eb4c5-8ef1-426b-8e80-baa646b30f0e
relation.isAuthorOfPublication.latestForDiscoveryd30eb4c5-8ef1-426b-8e80-baa646b30f0e

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