Author

O. Devineau

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· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 2 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1 Organism:mouse· 1

Frequent Co-Authors

D. Lafage· 3 shared J. Monsimet· 3 shared J. Petillon· 2 shared F. Cagnacci· 1 shared F. Ossi· 1 shared G. Ferrari· 1 shared H. Colinet· 1 shared K. Johnsen· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersEcology

D. Lafage

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Food resources drive rodent population demography mediated by seasonality and inter-specific competition

G. Ferrari, O. Devineau, V. Tagliapietra, K. Johnsen, F. Ossi, F. Cagnacci

This study investigates how food resources, seasonality, and competition shape rodent population dynamics across different latitudes.

bioRxiv · May 7, 2022 · PreprintEcology

Biogeographic position and body size jointly set lower thermal limits of wandering spiders

J. Monsimet, H. Colinet, O. Devineau, D. Lafage, J. Petillon

This study examines how biogeographic position and body size influence cold resistance in two wandering spider species across different climates.

bioRxiv · Jan 4, 2021Physiology

Characterization of habitat requirements of European fishing spiders

L. Dickel, J. Monsimet, D. Lafage, O. Devineau

This study models habitat requirements of two European fishing spider species using field data and machine learning, finding species-specific preferences and factors affecting detection.

bioRxiv · Dec 13, 2020Ecology

Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

J. Monsimet, O. Devineau, J. Petillon, D. Lafage

This study improves species distribution model predictions for predatory arthropods by integrating dispersal-related metrics with habitat data under climate change scenarios.

bioRxiv · Jun 5, 2020Ecology