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

Autor: Lorène Jeantet, Víctor Planas-Bielsa, Simon Benhamou, Sebastien Geiger, Jordan Martin, Flora Siegwalt, Pierre Lelong, Julie Gresser, Denis Etienne, Gaëlle Hiélard, Alexandre Arque, Sidney Regis, Nicolas Lecerf, Cédric Frouin, Abdelwahab Benhalilou, Céline Murgale, Thomas Maillet, Lucas Andreani, Guilhem Campistron, Hélène Delvaux, Christelle Guyon, Sandrine Richard, Fabien Lefebvre, Nathalie Aubert, Caroline Habold, Yvon le Maho, Damien Chevallier
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Royal Society Open Science, Vol 7, Iss 5 (2020)
Druh dokumentu: article
ISSN: 2054-5703
DOI: 10.1098/rsos.200139
Popis: 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 feeding. This study proposes a combined approach that automatically identifies the different behaviours of free-ranging sea turtles through the use of animal-borne multi-sensor recorders (accelerometer, gyroscope and time-depth recorder), validated by animal-borne video-recorder data. We show here that the combination of supervised learning algorithms and multi-signal analysis tools can provide accurate inferences of the behaviours expressed, including feeding and scratching behaviours that are of crucial ecological interest for sea turtles. Our procedure uses multi-sensor miniaturized loggers that can be deployed on free-ranging animals with minimal disturbance. It provides an easily adaptable and replicable approach for the long-term automatic identification of the different activities and determination of time-budgets in sea turtles. This approach should also be applicable to a broad range of other species and could significantly contribute to the conservation of endangered species by providing detailed knowledge of key animal activities such as feeding, travelling and resting.
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