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Article Dans Une Revue Global Ecology and Biogeography Année : 2022

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

Maarten J E Broekman (1) , Jelle P Hilbers (1) , Mark a J Huijbregts (1) , Thomas Mueller (2) , Abdullahi H Ali (3) , Henrik Andrén (4) , Jeanne Altmann (5) , Malin Aronsson (4) , Nina Attias (6) , Hattie L A Bartlam‐brooks (7) , Floris M van Beest (8) , Jerrold L Belant (9) , Dean E Beyer (10) , Laura Bidner (11) , Niels Blaum (12) , Randall B Boone (13) , Mark S Boyce (14) , Michael B Brown (15) , Francesca Cagnacci (16) , Rok Černe (17) , Simon Chamaillé‐jammes (18) , Nandintsetseg Dejid (19) , Jasja Dekker (20) , Arnaud L. J. Desbiez (6) , Samuel L Díaz‐muñoz (11) , Julian Fennessy (15) , Claudia Fichtel (21) , Christina Fischer (22) , Jason T Fisher (23) , Ilya Fischhoff (24) , Adam T Ford (25) , John M Fryxell (26) , Benedikt Gehr (27) , Jacob R Goheen (28) , Morgan Hauptfleisch (29) , A J Mark Hewison (30) , Robert Hering (12) , Marco Heurich (31, 32) , Lynne A Isbell (11) , René Janssen (20) , Florian Jeltsch (12) , Petra Kaczensky (32, 33, 34) , Peter M Kappeler (21) , Miha Krofel (35) , Scott Lapoint (36) , A. David M. Latham (14) , John D C Linnell (32) , A. Catherine Markham (37) , Jenny Mattisson (33) , Emilia Patricia Medici (38) , Guilherme de Miranda Mourão , Bram van Moorter (33) , Ronaldo G Morato (39) , Nicolas Morellet (30) , Atle Mysterud (40) , Stephen Mwiu (41) , John Odden (33) , Kirk A Olson (42) , Aivars Ornicāns (43) , Nives Pagon (17) , Manuela Panzacchi (33) , Jens Persson (4) , Tyler Petroelje (9) , Christer Moe Rolandsen (33) , David Roshier (44) , Daniel I Rubenstein (5) , Sonia Saïd (45) , Albert R Salemgareyev (46) , Hall Sawyer (47) , Niels Martin Schmidt (8) , Nuria Selva (48) , Agnieszka Sergiel (48) , Jared Stabach (49) , Jenna Stacy‐dawes (50) , Frances E C Stewart (23, 51) , Jonas Stiegler (12) , Olav Strand (33) , Siva Sundaresan (52) , Nathan J Svoboda (53) , Wiebke Ullmann (12) , Ulrich Voigt (54) , Jake Wall (55) , Martin Wikelski (56) , Christopher C Wilmers (57) , Filip Zięba (58) , Tomasz Zwijacz‐kozica (58) , Aafke M Schipper (1) , Marlee A Tucker (1)
1 Radboud University [Nijmegen]
2 SBiK-F - Senckenberg Biodiversity and Climate Research Centre
3 Hirola Conservation Programme
4 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
5 Princeton University
6 Instituto de Conservação de Animais Silvestres
7 Royal Veterinary College [London]
8 Aarhus University [Aarhus]
9 SUNY - State University of New York
10 Michigan State University [East Lansing]
11 UC Davis - University of California [Davis]
12 University of Potsdam = Universität Potsdam
13 CSU - Colorado State University [Fort Collins]
14 University of Alberta
15 Giraffe Conservation Foundation
16 FEM - Fondazione Edmund Mach - Edmund Mach Foundation [Italie]
17 SLOVENIA FOREST SERVICE SVN
18 CEFE - Centre d’Ecologie Fonctionnelle et Evolutive
19 Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung
20 Bionet Natuuronderzoek
21 GPC - DPZ - German Primate Center - Deutsches Primatenzentrum - Leibniz Insitute for Primate Research [Göttingen]
22 Anhalt University of Applied Sciences
23 UVIC - University of Victoria [Canada]
24 Cary Institute of Ecosystem Studies
25 UBC - University of British Columbia
26 University of Guelph
27 UZH - Universität Zürich [Zürich] = University of Zurich
28 UW - University of Wyoming
29 NUST - Namibia University of Science and Technology
30 CEFS - Unité de recherche Comportement et Ecologie de la Faune Sauvage
31 University of Freiburg [Freiburg]
32 Inland Norway University of Applied Sciences - Høgskolen i Innlandet
33 NINA - Norwegian Institute for Nature Research
34 Vetmeduni - University of Veterinary Medicine [Vienna]
35 University of Ljubljana
36 Columbia University [New York]
37 SBU - Stony Brook University [SUNY]
38 IPÊ - Instituto de Pesquisas Ecológicas
39 National Research Center for Carnivores Conservation
40 UiO - University of Oslo
41 Wildlife Research and Training Institute
42 Wildlife Conservation Society [Mongolia]
43 Latvian State Forest Research Institute “Silava”
44 Australian Wildlife Conservancy
45 OFB - Office français de la biodiversité
46 Association for the Conservation of Biodiversity of Kazakhstan
47 Western Ecosystems Technology Inc.
48 PAN - Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences
49 Smithsonian National Zoo and Conservation Biology Institute
50 San Diego Zoo Wildlife Alliance
51 WLU - Wilfrid Laurier University
52 Greater Yellowstone Coalition
53 Mississippi State University [Mississippi]
54 University of Veterinary Medicine [Hannover]
55 Mara Elephant Project
56 Max Planck Institute of Animal Behavior
57 UC Santa Cruz - University of California [Santa Cruz]
58 Tatra National Park
Maarten J E Broekman
Jelle P Hilbers
Mark a J Huijbregts
Floris M van Beest
Laura Bidner
Mark S Boyce
Rok Černe
Jasja Dekker
Christina Fischer
Jason T Fisher
Miha Krofel
Scott Lapoint
A. Catherine Markham
Jenny Mattisson
Guilherme de Miranda Mourão
Atle Mysterud
John Odden
Kirk A Olson
Tyler Petroelje
David Roshier
Daniel I Rubenstein
Sonia Saïd
Hall Sawyer
Niels Martin Schmidt
Jenna Stacy‐dawes
Jake Wall
  • Fonction : Auteur
Filip Zięba
  • Fonction : Auteur
Tomasz Zwijacz‐kozica
Aafke M Schipper
Marlee A Tucker

Résumé

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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hal-03817849 , version 1 (17-10-2022)

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Maarten J E Broekman, Jelle P Hilbers, Mark a J Huijbregts, Thomas Mueller, Abdullahi H Ali, et al.. Evaluating expert‐based habitat suitability information of terrestrial mammals with GPS‐ tracking data. Global Ecology and Biogeography, 2022, 31 (8), pp.1526-1541. ⟨10.1111/geb.13523⟩. ⟨hal-03817849⟩
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