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dc.contributor.authorSaddler, Mark R.
dc.contributor.authorBocconcelli, Alessandro
dc.contributor.authorHickmott, Leigh S.
dc.contributor.authorChiang, Gustavo
dc.contributor.authorLandea-Briones, Rafaela
dc.contributor.authorBahamonde, Paulina A.
dc.contributor.authorHowes, Gloria
dc.contributor.authorSegre, Paolo S.
dc.contributor.authorSayigh, Laela S.
dc.date.accessioned2018-11-15T00:52:36Z
dc.date.available2018-11-15T00:52:36Z
dc.date.issued2017-11-15
dc.identifier.citationSaddler , M R , Bocconcelli , A , Hickmott , L S , Chiang , G , Landea-Briones , R , Bahamonde , P A , Howes , G , Segre , P S & Sayigh , L S 2017 , ' Characterizing Chilean blue whale vocalizations with DTAGs : a test of using tag accelerometers for caller identification ' , Journal of Experimental Biology , vol. 220 , no. 22 , pp. 4119-4129 . https://doi.org/10.1242/jeb.151498en
dc.identifier.issn0022-0949
dc.identifier.otherPURE: 251748047
dc.identifier.otherPURE UUID: 529ec5c0-cef7-4fbf-9880-90e3a2fc4eaf
dc.identifier.otherBibtex: urn:5628e6ca96e024fea3c7205e46b498c4
dc.identifier.otherPubMed: 28883086
dc.identifier.otherScopus: 85034079342
dc.identifier.otherWOS: 000415334800010
dc.identifier.urihttps://hdl.handle.net/10023/16464
dc.descriptionFieldwork for this project was funded by the Melimoyu Ecosystem Research Institute Foundation and the Woods Hole Oceanographic Institution. Analysis was supported by aWoods Hole Oceanographic Institution Summer Student Fellowship.en
dc.description.abstractVocal 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.
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofJournal of Experimental Biologyen
dc.rights© 2017 The Author(s). Published by The Company of Biologists Ltd. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://doi.org/10.1242/jeb.151498en
dc.subjectBalaenoptera musculusen
dc.subjectAcoustic behavioren
dc.subjectDTAGen
dc.subjectDownsweep callen
dc.subjectD callen
dc.subjectCross-correlationen
dc.subjectQH301 Biologyen
dc.subjectNDASen
dc.subject.lccQH301en
dc.titleCharacterizing Chilean blue whale vocalizations with DTAGs : a test of using tag accelerometers for caller identificationen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.identifier.doihttps://doi.org/10.1242/jeb.151498
dc.description.statusPeer revieweden
dc.date.embargoedUntil2018-11-15


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