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Journal Article

Capability of big data to capture threatened vertebrate diversity in protected areas

Javier M. Cordier; Luis Osorio‐Olvera; Pablo Y. Huais; Ana N. Tomba; Fabricio Villalobos; Javier Nori
Conservation Biology · Vol. 39, Issue 1 · 2025

Abstract

Protected areas (PAs) are an essential tool for conservation amid the global biodiversity crisis. Optimizing PAs to represent species at risk of extinction is crucial. Vertebrate representation in PAs is assessed using species distribution databases from the International Union for Conservation of Nature (IUCN) and the Global Biodiversity Information Facility (GBIF). Evaluating and addressing discrepancies and biases in these data sources are vital for effective conservation strategies. Our objective was to gain insights into the potential constraints (e.g., differences and biases) of these global repositories to objectively depict the diversity of threatened vertebrates in the global system of PAs. We assessed differences in species richness (SR) of threatened vertebrates as reported by IUCN and GBIF in PAs globally and then compared how biased this information was with reports from independent sources for a subset of PAs. Both databases showed substantial differences in SR in PAs ( t = −62.35, p ≤ 0.001), but differences varied among regions and vertebrate groups. When these results were compared with data from independent assessments, IUCN overestimated SR by 575% on average and GBIF underestimated SR by 63% on average, again with variable results among regions and groups. Our results indicate the need to improve analyses of the representativeness of threatened vertebrates in PAs such that robust and unbiased assessments of PA effectiveness can be conducted. The scientific community and decision makers should consider these regional and taxonomic disparities when using IUCN and GBIF distributional data sources in PA assessment. Overall, supplementing information in these databases could lead to more robust and reliable analyses. Additional efforts to acquire more comprehensive and unbiased data on species distributions to support conservation decisions are clearly needed.

Bibliographic Information

JournalConservation Biology
PublisherWiley
Publication Date2025-02-01
Publication Year2025
Volume39
Issue1
Document TypeJournal Article
Print ISSN0888-8892
eISSN1523-1739
DOI10.1111/cobi.14371
SubjectConservation Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://conbio.onlinelibrary.wiley.com/loi/15231739
Publisher PageOpen Publisher Page
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