Author

P. S. Mostert

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:software / tool· 1

Frequent Co-Authors

A. J. H. M. Bruls· 1 shared A. Ward· 1 shared B. Coad· 1 shared B. J. McMahon· 1 shared E. C. Martin· 1 shared K. Morelle· 1 shared K. Murphy· 1 shared M. Nieuwenhuis· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEcology

A. J. H. M. Bruls

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2 papers

Recent·Most cited

EcologybioRxivPreprintSep 15, 2022

intSDM : an R package for building a reproducible workflow for the field of integrated species distribution models

P. S. Mostert, R. Bjorkas, A. J. H. M. Bruls…·S. W. Perrin

The paper introduces intSDM, an R package that provides a reproducible workflow for integrating biodiversity data into Species Distribution Models (SDMs) to improve their power and standardization.

DOI 10.1101/2022.09.15.507996

benchmark studybenchmarking

EcologybioRxivMay 23, 2022

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

V. Morera-Pujol, P. S. Mostert, K. Murphy…·S. Ciuti

This paper applies Bayesian Integrated Species Distribution Models to empirical data to predict deer distribution and abundance using presence-absence and presence-only data in Ireland.

DOI 10.1111/ecog.06451

Bayesian inferencehost-pathogen & immune response