Author

R. Sechaud

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· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Organism:multiple species· 2 Approach:statistical model· 2 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Roulin· 3 shared K. Schalcher· 2 shared P. Becciu· 2 shared A. K. Scharf· 1 shared A.-L. Harrison· 1 shared B. Almasi· 1 shared B. Koeck· 1 shared B.-U. Meyburg· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersAnimal Behavior & Cognition

A. Roulin

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Author profile →

3 papers

Recent·Most cited

Movement data link phenotypic traits to individual fitness in a nocturnal predator.

P. Becciu, R. Sechaud, K. Schalcher, C. Plancherel, A. Roulin

This study links movement patterns of barn owls to phenotypic traits and individual fitness using GPS tracking and long-term field data.

Scientific Reports · Mar 28, 2023Peer-reviewedAnimal Behavior & Cognition

Landing force reveals new form of motion-induced sound camouflage in a wild predator.

K. Schalcher, E. Milliet, R. Sechaud, R. Buehler, B. Almasi, S. Pottier, P. Becciu, A. Roulin, E. L. C. Shepard

This study measures landing force in barn owls to show how they modulate it for sound camouflage, improving hunting success and linking it to environmental factors.

bioRxiv · Mar 7, 2023Animal Behavior & Cognition

A comprehensive framework for handling location error in animal tracking data

C. H. Fleming, J. Drescher-Lehman, M. J. Noonan, T. S. B. Akre, D. J. Brown, M. M. Cochrane, N. Dejid, V. DeNicola, C. S. DePerno, J. N. Dunlop, N. P. Gould, A.-L. Harrison, J. Hollins, H. Ishii, Y. Kaneko, , J. M. Calabrese

This paper introduces a framework for handling location error in animal tracking data, showing that error-model selection improves analysis accuracy across various tracking devices and species.

bioRxiv · Jun 12, 2020 · PreprintEcology