Improving the application of Important Plant Areas to conserve threatened habitats: A case study of Uganda.

Richards, Sophie L.; Kalema, James; Ojelel, Samuel; Williams, Jenny; Darbyshire, Iain

Improving the application of Important Plant Areas to conserve threatened habitats: A case study of Uganda.

Name

Conservat_Sci_and_Prac_-_2024_-_Richards_-_Improving_the_application_of_Important_Plant_Areas_to_conserve_threatened.pdf

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2.39 MB

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Adobe PDF

Checksum (CRC64NVME)

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Resource type

Journal article

Creator (person)

Richards, Sophie L.

Kalema, James

Ojelel, Samuel

Williams, Jenny

Darbyshire, Iain

Date published

October 17, 2024

Abstract

Important Plant Areas (IPAs) are a successful method of identifying priority areas for plant conservation. Assessment of IPAs, however, often relies on criteria related to species, while incorporation of habitats has been less consistent. Using Uganda as a case study, we test the application of the threatened habitat criterion—criterion C. We identified nationally threatened habitats using Red List of Ecosystems criteria and assess, for the first time, how differing application of thresholds under IPA criterion C can influence IPA network outcomes. Eleven threatened habitats were identified, with declines switching from predominantly forest to savanna types after the mid‐20th century. Significantly, we found current IPA guidance on use of criterion C needlessly limits the number of sites that qualify as IPAs. The “five best sites” IPA threshold is reserved for countries where quantitative data is unavailable; however, the application of the relevant percentage‐based thresholds to quantitative data largely generated fewer than five IPAs, comparably limiting conservation opportunities identified. We recommend, therefore, that the “five best” threshold is available for application on both qualitative and quantitative data. This will bolster the value of IPAs in conserving and restoring threatened and ecologically important habitats under the Kunming‐Montreal Global Biodiversity Framework.