ArticleGlobal ecology and biogeography : a journal of macroecology2022
Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data.
Article in Global ecology and biogeography : a journal of macroecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Ecological and Historical Correlates of Taxonomic, Phylogenetic, and Functional Diversity of Amphibians in South American Rainforests and Savannas.Ecology and evolution · 2026Article
- A theoretical framework for scaling ecological niches from individuals to species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Global scale assessment of the human-induced extinction crisis of terrestrial carnivores.Science advances · 2025Article
- Establishing bio-logging data collections as dynamic archives of animal life on Earth.Nature ecology & evolution · 2025Review
- Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data.Global ecology and biogeography : a journal of macroecology · 2022Article
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Abstract
Aim: Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert-based information with detailed empirical evidence. Here, we compared expert-based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS-tracking data of 1,498 individuals from 49 mammal species. Location: Worldwide. Time period: 1998-2021. Major taxa studied: Forty-nine terrestrial mammal species. Methods: Using GPS data, we estimated two measures of habitat suitability for each individual animal: proportional habitat use (proportion of GPS locations within a habitat type), and selection ratio (habitat use relative to its availability). For each individual we then evaluated whether the GPS-based habitat suitability measures were in agreement with the IUCN data. To that end, we calculated the probability that the ranking of empirical habitat suitability measures was in agreement with IUCN's classification into suitable, marginal and unsuitable habitat types. Results: IUCN habitat suitability data were in accordance with the GPS data (> 95% probability of agreement) for 33 out of 49 species based on proportional habitat use estimates and for 25 out of 49 species based on selection ratios. In addition, 37 and 34 species had a > 50% probability of agreement based on proportional habitat use and selection ratios, respectively. Main conclusions: We show how GPS-tracking data can be used to evaluate IUCN habitat suitability data. Our findings indicate that for the majority of species included in this study, it is appropriate to use IUCN habitat suitability data in macroecological studies. Furthermore, we show that GPS-tracking data can be used to identify and prioritize species and habitat types for re-evaluation of IUCN habitat suitability data.
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