Literature DB >> 27250178

Sperm whale codas may encode individuality as well as clan identity.

Cláudia Oliveira1, Magnus Wahlberg2, Mónica A Silva1, Mark Johnson3, Ricardo Antunes4, Danuta M Wisniewska5, Andrea Fais6, João Gonçalves1, Peter T Madsen5.   

Abstract

Sperm whales produce codas for communication that can be grouped into different types according to their temporal patterns. Codas have led researchers to propose that sperm whales belong to distinct cultural clans, but it is presently unclear if they also convey individual information. Coda clicks comprise a series of pulses and the delay between pulses is a function of organ size, and therefore body size, and so is one potential source of individual information. Another potential individual-specific parameter could be the inter-click intervals within codas. To test whether these parameters provide reliable individual cues, stereo-hydrophone acoustic tags (Dtags) were attached to five sperm whales of the Azores, recording a total of 802 codas. A discriminant function analysis was used to distinguish 288 5 Regular codas from four of the sperm whales and 183 3 Regular codas from two sperm whales. The results suggest that codas have consistent individual features in their inter-click intervals and inter-pulse intervals which may contribute to individual identification. Additionally, two whales produced different coda types in distinct foraging dive phases. Codas may therefore be used by sperm whales to convey information of identity as well as activity within a social group to a larger extent than previously assumed.

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Year:  2016        PMID: 27250178     DOI: 10.1121/1.4949478

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

Review 1.  Toward understanding the communication in sperm whales.

Authors:  Jacob Andreas; Gašper Beguš; Michael M Bronstein; Roee Diamant; Denley Delaney; Shane Gero; Shafi Goldwasser; David F Gruber; Sarah de Haas; Peter Malkin; Nikolay Pavlov; Roger Payne; Giovanni Petri; Daniela Rus; Pratyusha Sharma; Dan Tchernov; Pernille Tønnesen; Antonio Torralba; Daniel Vogt; Robert J Wood
Journal:  iScience       Date:  2022-05-13

2.  Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics.

Authors:  Peter C Bermant; Michael M Bronstein; Robert J Wood; Shane Gero; David F Gruber
Journal:  Sci Rep       Date:  2019-08-29       Impact factor: 4.379

3.  Fear of Killer Whales Drives Extreme Synchrony in Deep Diving Beaked Whales.

Authors:  Natacha Aguilar de Soto; Fleur Visser; Peter L Tyack; Jesús Alcazar; Graeme Ruxton; Patricia Arranz; Peter T Madsen; Mark Johnson
Journal:  Sci Rep       Date:  2020-02-06       Impact factor: 4.379

  3 in total

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