Observational study on the non-linear response of dolphins to the presence of vessels.
Dolphin classification
Dolphin whistles
Impact of underwater radiated noise
Signal detection
Whistles clustering
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
13 Mar 2024
13 Mar 2024
Historique:
received:
15
04
2023
accepted:
08
03
2024
medline:
14
3
2024
pubmed:
14
3
2024
entrez:
14
3
2024
Statut:
epublish
Résumé
With the large increase in human marine activity, our seas have become populated with vessels that can be overheard from distances of even 20 km. Prior investigations showed that such a dense presence of vessels impacts the behaviour of marine animals, and in particular dolphins. While previous explorations were based on a linear observation for changes in the features of dolphin whistles, in this work we examine non-linear responses of bottlenose dolphins (Tursiops Truncatus) to the presence of vessels. We explored the response of dolphins to vessels by continuously recording acoustic data using two long-term acoustic recorders deployed near a shipping lane and a dolphin habitat in Eilat, Israel. Using deep learning methods we detected a large number of 50,000 whistles, which were clustered to associate whistle traces and to characterize their features to discriminate vocalizations of dolphins: both structure and quantities. Using a non-linear classifier, the whistles were categorized into two classes representing the presence or absence of a nearby vessel. Although our database does not show linear observable change in the features of the whistles, we obtained true positive and true negative rates exceeding 90% accuracy on separate, left-out test sets. We argue that this success in classification serves as a statistical proof for a non-linear response of dolphins to the presence of vessels.
Identifiants
pubmed: 38480760
doi: 10.1038/s41598-024-56654-6
pii: 10.1038/s41598-024-56654-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6062Subventions
Organisme : European Union's Horizon 2020
ID : 101086340
Organisme : Israel Science foundation
ID : 973/23
Informations de copyright
© 2024. The Author(s).
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