Author

J.-M. Probst

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· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:host-pathogen & immune response· 2 Organism:non-human primate· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

N. Dubos· 4 shared G. Deso· 3 shared A. Crottini· 2 shared M. Roesch· 2 shared S. Augros· 2 shared A. Besnard· 1 shared A. Choeur· 1 shared B. Leroy· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersEcology

N. Dubos

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A bird's-eye view: Evaluating drone imagery for the detection and monitoring of endangered and invasive day gecko species

N. Dubos, X. Porcel, M. Roesch, J. Claudin, R. Pinel, J.-M. Probst, G. Deso

This study evaluates drone imagery for detecting and monitoring endangered and invasive day gecko species, finding optimal distances for species-level identification.

bioRxiv · Mar 20, 2023 · PreprintEcology

Choice of climate data influences current and future global invasion risks for two Phelsuma geckos

N. Dubos, T. W. Fieldsend, M. A. Roesch, S. Augros, A. Besnard, A. Choeur, I. Ineich, K. Krysko, B. Leroy, S. Malone, J.-M. Probst, C. Raxworthy, A. Crottini

This study assesses how different climate data sources affect invasion risk predictions for two gecko species under current and future conditions.

bioRxiv · Aug 4, 2022 · PreprintEcology

Here be dragons: important spatial uncertainty driven by climate data in forecasted distribution of an endangered insular reptile

N. Dubos, S. Augros, G. Deso, J.-M. Probst, J.-C. Notter, M. Roesch

This study quantifies uncertainty in predicting the future distribution of an endangered reptile using multiple climate models and metrics, highlighting the importance of spatial overlap and baseline climate data.

bioRxiv · Jun 14, 2021Ecology

Are narrow-ranging species doomed to extinction? Projected dramatic decline in future climate suitability of two highly threatened species

N. Dubos, F. Montfort, C. Grinand, M. Nourtier, G. Deso, J.-M. Probst, J. H. Razafimanahaka, R. R. Andriantsimanarilafy, E. F. Rakotondrasoa, P. Razafindraibe, R. Jenkins, A. Crottini

This study predicts a dramatic decline in climate suitability for two narrow-ranging species by 2070, suggesting potential extinction and highlighting the need for conservation actions.

bioRxiv · Mar 30, 2021Ecology