Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology

The identification of sea turtle behaviours is a prerequisite to predicting the activities and time-budget of these animals in their natural habitat over the long term. However, this is hampered by a lack of reliable methods that enable the detection and monitoring of certain key behaviours such as...

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Detalles Bibliográficos
Autores principales: Jeantet, Lorène, Planas-Bielsa, Víctor, Benhamou, Simon, Geiger, Sebastien, Martin, Jordan, Siegwalt, Flora, Lelong, Pierre, Gresser, Julie, Etienne, Denis, Hiélard, Gaëlle, Arque, Alexandre, Regis, Sidney, Lecerf, Nicolas, Frouin, Cédric, Benhalilou, Abdelwahab, Murgale, Céline, Maillet, Thomas, Andreani, Lucas, Campistron, Guilhem, Delvaux, Hélène, Guyon, Christelle, Richard, Sandrine, Lefebvre, Fabien, Aubert, Nathalie, Habold, Caroline, le Maho, Yvon, Chevallier, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Ecology, Conservation, and Global Change Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277266/
https://www.ncbi.nlm.nih.gov/pubmed/32537218
http://dx.doi.org/10.1098/rsos.200139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277266/
https://www.ncbi.nlm.nih.gov/pubmed/32537218
http://dx.doi.org/10.1098/rsos.200139

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