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Research article - Peer-reviewed, 2022

Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data

Broekman, Maarten J. E.; Hilbers, Jelle P.; Huijbregts, Mark A. J.; Mueller, Thomas; Ali, Abdullahi H.; Andren, Henrik; Altmann, Jeanne; Aronsson, Malin; Attias, Nina; Bartlam-Brooks, Hattie L. A.; van Beest, Floris M.; Belant, Jerrold L.; Beyer, Dean E.; Bidner, Laura; Blaum, Niels; Boone, Randall B.; Boyce, Mark S.; Brown, Michael B.; Cagnacci, Francesca; Cerne, Rok;
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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.

Keywords

expert opinion; GPS; habitat suitability; habitat type; habitat use; IUCN; mammals; movement; selection ratio; telemetry

Published in

Global Ecology and Biogeography

2022, volume: 31, number: 8, pages: 1526-1541
Publisher: WILEY

Authors' information

Broekman, Maarten J. E.
Radboud University Nijmegen
Hilbers, Jelle P.
Radboud University Nijmegen
Huijbregts, Mark A. J.
Radboud University Nijmegen
Mueller, Thomas
Senckenberg Biodiversitat and Klima- Forschungszentrum (BiK-F)
Mueller, Thomas
Goethe University Frankfurt
Swedish University of Agricultural Sciences, Department of Ecology
Altmann, Jeanne
Princeton University
Stockholm University
Swedish University of Agricultural Sciences, Department of Ecology
Attias, Nina
Universidade Federal de Mato Grosso do Sul
Bartlam-Brooks, Hattie L. A.
University of London Royal Veterinary College
van Beest, Floris M.
Aarhus University
Belant, Jerrold L.
State University of New York (SUNY) College of Environmental Science and Forestry
Beyer, Dean E.
Michigan State University
Bidner, Laura
University of California Davis
Blaum, Niels
University of Potsdam
Boone, Randall B.
Colorado State University
Boyce, Mark S.
University of Alberta
Brown, Michael B.
Smithsonian National Zoological Park and Conservation Biology Institute
Brown, Michael B.
Giraffe Conservat Fdn
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UKÄ Subject classification

Ecology

Publication Identifiers

DOI: https://doi.org/10.1111/geb.13523

URI (permanent link to this page)

https://res.slu.se/id/publ/117147