Please use this identifier to cite or link to this item: https://openscholar.ump.ac.za/handle/20.500.12714/988
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dc.contributor.authorClements, Hayley S.en_US
dc.contributor.authorDo Linh San, Emmanuel.en_US
dc.contributor.authorHempson, Gareth.en_US
dc.contributor.authorLinden, Birthe.en_US
dc.contributor.authorDalu, Tatenda.en_US
dc.date.accessioned2025-05-26T13:17:33Z-
dc.date.available2025-05-26T13:17:33Z-
dc.date.issued2024-
dc.identifier.urihttps://openscholar.ump.ac.za/handle/20.500.12714/988-
dc.descriptionPublished versionen_US
dc.description.abstractSub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species’ population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate ‘intactness scores’: the remaining proportion of an ‘intact’ reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region’s major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems.en_US
dc.language.isoenen_US
dc.publisherScientific Dataen_US
dc.subjectBii4africa.en_US
dc.subjectDataset of faunal.en_US
dc.subjectFloral population.en_US
dc.titleThe bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses.en_US
dc.typejournal articleen_US
dc.identifier.doi10.1038/s41597-023-02832-6-
dc.contributor.affiliationStellenbosch Universityen_US
dc.contributor.affiliationUniversity of Fort Hareen_US
dc.contributor.affiliationUniversity of the Witwatersranden_US
dc.contributor.affiliationUniversity of Vendaen_US
dc.contributor.affiliationSchool of Biology and Environmental Sciencesen_US
dc.description.startpage1en_US
dc.description.endpage17en_US
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypejournal article-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.deptSchool of Biology and Environmental Sciences-
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