Quantifying humpback whale song sequences to understand the dynamics of song exchange at the ocean basin scale

Garland, Ellen C., Noad, Michael J., Goldizen, Anne W., Lilley, Matthew S., Rekdahl, Melinda L., Garrigue, Claire, Constantine, Rochelle, Hauser, Nan Daeschler, Poole, M. Michael and Robbins, Jooke (2013) Quantifying humpback whale song sequences to understand the dynamics of song exchange at the ocean basin scale. Journal of Acoustical Society of America, 133 1: 560-569. doi:10.1121/1.4770232

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Author Garland, Ellen C.
Noad, Michael J.
Goldizen, Anne W.
Lilley, Matthew S.
Rekdahl, Melinda L.
Garrigue, Claire
Constantine, Rochelle
Hauser, Nan Daeschler
Poole, M. Michael
Robbins, Jooke
Title Quantifying humpback whale song sequences to understand the dynamics of song exchange at the ocean basin scale
Journal name Journal of Acoustical Society of America   Check publisher's open access policy
ISSN 0001-4966
Publication date 2013-01
Year available 2013
Sub-type Article (original research)
DOI 10.1121/1.4770232
Open Access Status File (Publisher version)
Volume 133
Issue 1
Start page 560
End page 569
Total pages 10
Place of publication Melville, NY, United States
Publisher A I P Publishing LLC
Collection year 2014
Language eng
Abstract Humpback whales have a continually evolving vocal sexual display, or "song," that appears to undergo both evolutionary and "revolutionary" change. All males within a population adhere to the current content and arrangement of the song. Populations within an ocean basin share similarities in their songs; this sharing is complex as multiple variations of the song (song types) may be present within a region at any one time. To quantitatively investigate the similarity of song types, songs were compared at both the individual singer and population level using the Levenshtein distance technique and cluster analysis. The highly stereotyped sequences of themes from the songs of 211 individuals from populations within the western and central South Pacific region from 1998 through 2008 were grouped together based on the percentage of song similarity, and compared to qualitatively assigned song types. The analysis produced clusters of highly similar songs that agreed with previous qualitative assignments. Each cluster contained songs from multiple populations and years, confirming the eastward spread of song types and their progressive evolution through the study region. Quantifying song similarity and exchange will assist in understanding broader song dynamics and contribute to the use of vocal displays as population identifiers.
Keyword Humpback whales
Sexual display
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Biological Sciences Publications
School of Veterinary Science Publications
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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
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Created: Mon, 28 Jan 2013, 09:48:36 EST by Gail Walter on behalf of School of Biological Sciences