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    Characterizing Chilean blue whale vocalizations with DTAGs : a test of using tag accelerometers for caller identification

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    Date
    2017-09-07
    Author
    Saddler, Mark R.  Concept link
    Bocconcelli, Alessandro  Concept link
    Hickmott, Leigh S.  Concept link
    Chiang, Gustavo  Concept link
    Landea Briones, Rafaela  Concept link
    Bahamonde, Paulina A.  Concept link
    Howes, Gloria  Concept link
    Segre, Paolo S.  Concept link
    Sayigh, Laela S.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/9377
    As published
    https://doi.org/10.1242/jeb.151498
    DOI
    10.1242/jeb.151498
    Keyword
     Balaenoptera musculus; Acoustic behavior; DTAG; Downsweep call; D call; Cross-correlation 
    Abstract
    Vocal behavior of blue whales (Balaenoptera musculus) in the Gulf of Corcovado, Chile, was analysed using both audio and accelerometer data from digital acoustic recording tags (DTAGs). Over the course of three austral summers (2014, 2015 and 2016), seventeen tags were deployed, yielding 124 h of data. We report the occurrence of Southeast Pacific type 2 (SEP2) calls, which exhibit peak frequencies, durations and timing consistent with previous recordings made using towed and moored hydrophones. We also describe tonal downswept (D) calls, which have not been previously described for this population. As being able to accurately assign vocalizations to individual whales is fundamental for studying communication and for estimating population densities from call rates, we further examine the feasibility of using high-resolution DTAG accelerometers to identify low-frequency calls produced by tagged blue whales. We cross-correlated acoustic signals with simultaneous tri-axial accelerometer readings in order to analyse the phase match as well as the amplitude of accelerometer signals associated with low-frequency calls, which provides a quantitative method of determining if a call is associated with a detectable acceleration signal. Our results suggest that vocalizations from nearby individuals are also capable of registering accelerometer signals in the tagged whale's DTAG record. We cross-correlate acceleration vectors between calls to explore the possibility of using signature acceleration patterns associated with sounds produced within the tagged whale as a new method of identifying which accelerometer-detectable calls originate from the tagged animal.
    Description
    Author Posting. © Company of Biologists, 2017. This article is posted here by permission of Company of Biologists for personal use, not for redistribution. The definitive version was published in Journal of Experimental Biology 220 (2017): 4119-4129, doi: 10.1242/jeb.151498.
    Collections
    • Applied Ocean Physics and Engineering (AOP&E)
    • Biology
    Suggested Citation
    Journal of Experimental Biology 220 (2017): 4119-4129
     
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