OALib Journal期刊
ISSN: 2333-9721
费用:99美元
Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology
DOI: 10.1098/rsos.200139
Abdelwahab Benhalilou ,
Alexandre Arque ,
Caroline Habold ,
Christelle Guyon ,
Cédric Frouin ,
Céline Murgale ,
Damien Chevallier ,
Denis Etienne ,
Fabien Lefebvre ,
Flora Siegwalt ,
Ga?lle Hiélard ,
Guilhem Campistron ,
Hélène Delvaux ,
Jordan Martin ,
Julie Gresser ,
Lorène Jeantet ,
Lucas Andreani ,
Nathalie Aubert ,
Nicolas Lecerf ,
Pierre Lelong ,
Sandrine Richard ,
Sebastien Geiger ,
Sidney Regis ,
Simon Benhamou ,
Thomas Maillet ,
Víctor Planas-Bielsa ,
Yvon le Maho
Abstract:
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..
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