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

Morera-Pujol, V.; Mostert, P. S.; Murphy, K. J.; Burkitt, T.; Coad, B.; McMahon, B. J.; Nieuwenhuis, M.; Morelle, Kevin; Ward, A. I.; Ciuti, S.

doi:10.1111/ecog.06451

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

Morera-Pujol, V., Mostert, P. S., Murphy, K. J., Burkitt, T., Coad, B., McMahon, B. J., et al. (2023). Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance. Ecography, 2023(2): e06451. doi:10.1111/ecog.06451.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-9257-D Version Permalink: https://hdl.handle.net/21.11116/0000-000C-9258-C

Genre: Journal Article

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Creators:
Morera-Pujol, V., Author
Mostert, P. S., Author
Murphy, K. J., Author
Burkitt, T., Author
Coad, B., Author
McMahon, B. J., Author
Nieuwenhuis, M., Author
Morelle, Kevin¹, Author
Ward, A. I., Author
Ciuti, S., Author

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1Department of Migration, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054975

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Dates: Date issued: 2023

Publication Status: Issued

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Identifiers: DOI: 10.1111/ecog.06451

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Title: Ecography

Source Genre: Journal

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Publ. Info: Copenhagen : Munksgaard International Publishers

Pages: - Volume / Issue: 2023 (2) Sequence Number: e06451 Start / End Page: - Identifier: ISSN: 0906-7590
CoNE: https://pure.mpg.de/cone/journals/resource/954928532038