Bayesian species distribution models integrate presence‐only and presence–absence data to predict deer distribution and relative abundance

Author:

Morera‐Pujol Virginia1ORCID,Mostert Philip S.2,Murphy Kilian J.1ORCID,Burkitt Tim3,Coad Barry4,McMahon Barry J.5ORCID,Nieuwenhuis Maarten6,Morelle Kevin78,Ward Alastair I.9,Ciuti Simone1

Affiliation:

1. Laboratory of Wildlife Ecology and Behaviour, School of Biology and Environmental Science, Univ. College Dublin Dublin Ireland

2. Dept of Mathematical Sciences and Center for Biodiversity Dynamics, Norwegian Univ. of Science and Technology (NTNU) Trondheim Norway

3. Deer Biologist and Management Consultant, Deer Management Solutions, Coolies, Muckross, Killarney, Co. Kerry Ireland

4. Coillte Forest, Coillte, Dublin Road, Newtownmountkennedy, Co Wicklow Ireland

5. UCD School of Agriculture & Food Science, Univ. College Dublin, Belfield Dublin Ireland

6. UCD Forestry, School of Agriculture and Food Science, Univ. College Dublin, Belfield Dublin Ireland

7. Dept of Migration, Max Planck Inst. of Animal Behaviour Radolfzell Germany

8. Dept of Game Management and Wildlife Biology, Czech Univ. of Life Science Prague Czech Republic

9. School of Biology, Univ. of Leeds Leeds UK

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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