Author

C. Pasquaretta

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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Animal Behavior & Cognition· 4 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:experimental assay· 4 Research Focus:cell type annotation· 2 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Lihoreau· 4 shared A. Barron· 1 shared A. Boissy· 1 shared A. Cabirol· 1 shared A. Dore· 1 shared C. Monchanin· 1 shared D. Hazard· 1 shared D. Henry· 1 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersAnimal Behavior & Cognition

M. Lihoreau

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Author profile →

5 papers

Recent·Most cited

Considering variance in pollinator responses to stressors can reveal potential for resilience

A. Cabirol, T. Gomez Moracho, C. Monchanin, C. Pasquaretta, M. Lihoreau

The paper examines how environmental stressors affect phenotypic variance in pollinators, finding that chronic pesticide exposure reduces cognitive variance more than acute exposure.

bioRxiv · Dec 24, 2021 · PreprintAnimal Behavior & Cognition

Reliable hypotheses testing in animal social network analyses: global index, index of interactions and residual regression

S. Sosa, C. Pasquaretta, I. Puga-Gonzalez, F. S. Dobson, V. A. Viblanc, W. Hoppitt

The paper introduces new statistical methods to improve hypothesis testing in animal social network analyses by reducing false positives and negatives.

bioRxiv · Dec 14, 2021 · PreprintAnimal Behavior & Cognition

A non-invasive radar system for automated behavioural tracking: application to sheep

A. Dore, C. Pasquaretta, D. Henry, E. Ricard, J.-F. Bompard, M. Bonneau, A. Boissy, D. Hazard, H. Aubert, M. Lihoreau

This paper introduces a radar system for automated behavioural tracking of untagged animals, demonstrating its accuracy and scalability in tracking sheep in controlled and field environments.

bioRxiv · Dec 9, 2020 · PreprintAnimal Behavior & Cognition

A model of resource partitioning between foraging bees based on positive and negative associations

T. Dubois, C. Pasquaretta, A. Barron, J. Gautrais, M. Lihoreau

This study uses agent-based models to show that negative reinforcement is necessary for resource partitioning in patchily distributed foraging environments.

bioRxiv · Nov 13, 2020Animal Behavior & Cognition

Artificial diets modulate infection rates of Nosema ceranae in bumblebees

T. Gomez-Moracho, T. Durand, C. Pasquaretta, P. Heeb, M. Lihoreau

This study develops an experimental protocol to infect bumblebees with Nosema ceranae and finds that diet composition significantly affects parasite prevalence and survival.

bioRxiv · Feb 27, 2020Physiology