Author

M. Nieuwenhuis

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 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Ciuti· 2 shared V. Morera-Pujol· 2 shared A. Ward· 1 shared B. Coad· 1 shared B. J. McMahon· 1 shared C. Brock· 1 shared K. J. Murphy· 1 shared K. Morelle· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersEcology

S. Ciuti

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2 papers

Recent·Most cited

EcologyForest Ecology and ManagementPeer-reviewedDec 1, 2023

Predicting forest damage using relative abundance of multiple deer species and national forest inventory data.

C. Brock, V. Morera-Pujol, K. J. Murphy…·S. Ciuti

This study predicts forest damage by analyzing deer species abundance and forest inventory data to identify risk scenarios and ecological drivers of damage.

DOI 10.1016/j.foreco.2023.121506

statistical modelecology & biodiversity

𝕏 PostBluesky

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

𝕏 PostBluesky