Author

M. Basille

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 Zoology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

S. Picardi· 2 shared A. Bruant· 1 shared B. J. Smith· 1 shared D. Rubolini· 1 shared H. Hochmair· 1 shared J. G. Cecere· 1 shared J. Watling· 1 shared L. Serra· 1 shared

Activity by Year

2019-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersZoology

S. Picardi

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Effect of Foraging and Nest Defense tradeoffs on the Reproductive Success of Wood Storks (Mycteria americana)

A. Bruant, S. Picardi, P. Frederick, M. Basille

This study examines how foraging and nest defense trade-offs affect reproductive success in Wood Storks, finding that frequent foraging trips, not nest attendance, positively correlate with fledgling ratios.

bioRxiv · Jun 4, 2020Zoology

Joint seasonality in geographic and ecological spaces, illustrated with a partially migratory bird

M. Basille, J. Watling, S. Romanach, R. Borkhataria

The paper presents a framework to analyze seasonal distributions of wood storks by integrating geographic and ecological data, finding that their seasonal ranges are influenced by environmental conditions rather than just climate tracking.

bioRxiv · Feb 1, 2020Ecology

Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers

S. Picardi, B. J. Smith, M. E. Boone, P. C. Frederick, J. G. Cecere, D. Rubolini, L. Serra, S. Pirrello, R. R. Borkhataria, M. Basille

This paper introduces a method to detect reproductive events and estimate their fate in central place foragers using GPS-tracking data and Bayesian modeling.

bioRxiv · Jan 17, 2020Ecology

Evaluating the data quality of iNaturalist termite records

H. Hochmair, R. Scheffrahn, M. Basille, M. Boone

This study evaluates the quality of iNaturalist termite records compared to expert collections and finds they complement geographic coverage without significantly compromising data quality.

bioRxiv · Dec 3, 2019Zoology