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

Morera-Pujol, V, Mostert, PS, Murphy, K et al. (7 more authors) (2023) Bayesian species distribution models integrate presence-only and presence–absence data to predict deer distribution and relative abundance. Ecography, 2023 (2). e06451. ISSN 0906-7590

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Item Type: Article
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© 2022 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos. This is an open access article under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Bayesian statistics, fallow deer, INLA, integrated species distribution models, red deer, sika deer
Dates:
  • Published: February 2023
  • Published (online): 15 December 2022
  • Accepted: 4 November 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Nov 2022 12:18
Last Modified: 21 Aug 2024 14:23
Status: Published
Publisher: Wiley Open Access
Identification Number: 10.1111/ecog.06451
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