Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (Capra ibex) as tools for conserving migration

Author:

Chauveau Victor1ORCID,Garel Mathieu2,Toïgo Carole2,Anderwald Pia3,Beurier Mathieu2,Bouche Michel4,Bunz Yoann4,Cagnacci Francesca56,Canut Marie7,Cavailhes Jérôme8,Champly Ilka9,Filli Flurin3,Frey‐Roos Alfred10,Gressmann Gunther11,Herfindal Ivar12,Jurgeit Florian11,Martinelli Laura13,Papet Rodolphe4,Petit Elodie14,Ramanzin Maurizio15,Semenzato Paola1516,Vannard Eric4,Loison Anne1,Coulon Aurélie1718,Marchand Pascal19

Affiliation:

1. Laboratoire d'Ecologie Alpine (LECA), UMR 5553 Université Grenoble Alpes, Université Savoie Mont‐Blanc, Centre National de la Recherche Scientifique (CNRS) Le Bourget‐du‐Lac France

2. Office Français de la Biodiversité (OFB) Direction de la Recherche et de l'Appui Scientifique – Service Anthropisation et Fonctionnement des Ecosystèmes Terrestres Gières France

3. Swiss National Park, Chastè Planta‐Wildenberg Zernez Switzerland

4. Parc national des Écrins, Domaine de Charance Gap France

5. Animal Ecology Unit Research and Innovation Centre, Fondazione Edmund Mach Trento Italy

6. NBFC, National Biodiversity Future Center Palermo Italy

7. Parc national du Mercantour Nice Cedex 1 France

8. Parc national de la Vanoise Chambéry France

9. Asters, CEN de Haute‐Savoie Pringy France

10. Institute of Wildlife Biology and Game Management University of Natural Resources and Life Sciences Vienna Austria

11. Tyrol National Park Authority Matrei in Osttirol Austria

12. Gjærevoll Centre for Biodiversity Foresight Analyses Norwegian University of Science and Technology Trondheim Norway

13. Ente di gestione Aree Protette Alpi Marittime Valdieri Italy

14. Office Français de la Biodiversité Sevrier France

15. Department of Agronomy, Food, Natural Resources, Animals and Food University of Padova Legnaro Italy

16. DREAM‐Italia Pistoia Italy

17. Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique Sorbonne Université Paris France

18. CEFE, Univ Montpellier, CNRS, EPHE, IRD Montpellier France

19. Office Français de la Biodiversité (OFB), Direction de la Recherche et de l'Appui Scientifique – Service Anthropisation et Fonctionnement des Ecosystèmes Terrestres Juvignac France

Abstract

AbstractAimSeasonal migrations, such as those of ungulates, are particularly threatened by habitat transformations and fragmentation, climate and other environmental changes caused by anthropogenic activities. Mountain ungulate migrations are neglected because they are relatively short, although traversing heterogeneous altitudinal gradients particularly exposed to anthropogenic threats. Detecting migration routes of these species and understanding their drivers are therefore of primary importance to predict connectivity and preserve ecosystem functions and services. The populations of Alpine ibex Capra ibex have all been reintroduced from the last remnant source population. Despite a general increase in abundance and overall distribution range, ibex populations are mostly disconnected but display intra‐population migrations. Therefore, its conservation is strictly linked to the interplay between external threats and related behavioural responses, including space use and migration.LocationAustria, France, Italy and Switzerland.MethodsBy using 337 migratory tracks from 425 GPS‐collared individuals from 15 Alpine ibex populations distributed across their entire range, we (i) identified the environmental drivers of movement corridors in both spring and autumn and (ii) compared the ability of a connectivity modelling algorithm to predict migratory movements between seasonal ranges of the 15 populations, using either population‐specific or multipopulation datasets, and three validation procedures.ResultsSteep, south‐facing, snow‐free slopes were selected while high elevation changes were avoided. This revealed the importance of favourable resources and an attempt to limit energy expenditures and perceived predation risk. The abilities of the modelling methods we compared to predict migratory connectivity from the results of those movement analyses were similar.Main ConclusionsThe trade‐off between energy expenditure, food and cover was the major driver of migration routes and was overall consistent among populations. Based on these findings, we provided useful connectivity models to inform conservation of Alpine ibex and its habitats, and a framework for future research investigating connectivity in migratory species.

Funder

Agence Nationale de la Recherche

Office Français de la Biodiversité

Norges Forskningsråd

Fondazione Edmund Mach

Università degli Studi di Padova

Regione del Veneto

Publisher

Wiley

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