ArticleConservation biology : the journal of the Society for Conservation Biology2023
Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Improving island occupancy predictions using ecologically informed metrics of area and isolation.Ecology · 2026Article
- Estimating Area of Occupancy From Incomplete Occurrence Records: Reproducible Workflow Illustrated on a Comprehensive Dataset of Georgian Snakes.Ecology and evolution · 2026Article
- Red listing the flora of the Green Islands reveals high extinction risk in the Azores.Scientific reports · 2026Article
- eDNA surveys substantially expand known geographic and ecological niche boundaries of marine fishes.PLoS biology · 2025Article
- A Neighborhood Approach for Using Remotely Sensed Data to Estimate Current Ranges for Conservation Assessments.Ecology and evolution · 2025Article
- Enhanced risk assessment framework integrating distribution dynamics, genetically inferred populations, and morphological traits ofZoological research · 2025Article
- Software codesign between end users and developers to enhance utility for biodiversity conservation.Bioscience · 2024Article
- Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments.Conservation biology : the journal of the Society for Conservation Biology · 2023Article
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Abstract
Estimates of species geographic ranges constitute critical input for biodiversity assessments, including those for the International Union for the Conservation of Nature (IUCN) Red List of Threatened Species. Area of occupancy (AOO) is one metric that IUCN uses to quantify a species' range, but data limitations typically lead to either under- or overestimates (and unnecessarily wide bounds of uncertainty). Fortunately, existing methods in which range maps and land-cover data are used to estimate the area currently holding habitat for a species can be extended to yield an unbiased range of plausible estimates for AOO. Doing so requires estimating the proportion of sites (currently containing habitat) that a species occupies within its range (i.e., prevalence). Multiplying a quantification of habitat area by prevalence yields an estimate of what the species inhabits (i.e., AOO). For species with intense sampling at many sites, presence-absence data sets or occupancy modeling allow calculation of prevalence. For other species, primary biodiversity data (records of a species' presence at a point in space and time) from citizen-science initiatives and research collections of natural history museums and herbaria could be used. In such cases, estimates of sample prevalence should be corrected by dividing by the species' detectability. To estimate detectability from these data sources, extensions of inventory-completeness analyses merit development. With investments to increase the quality and availability of online biodiversity data, consideration of prevalence should lead to tighter and more realistic bounds of AOO for many taxonomic groups and geographic regions. By leading to more realistic and representative characterizations of biodiversity, integrating maps of current habitat with estimates of prevalence should empower conservation practitioners and decision makers and thus guide actions and policy worldwide.
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