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Population structure of humpback whales in the western and central South Pacific Ocean as determined by vocal exchange among populations
Authors:Ellen C. Garland  Anne W. Goldizen  Matthew S. Lilley  Melinda L. Rekdahl  Claire Garrigue  Rochelle Constantine  Nan Daeschler Hauser  M. Michael Poole  Jooke Robbins  Michael J. Noad
Affiliation:1. Cetacean Ecology and Acoustics Laboratory, School of Veterinary Science, University of Queensland, Gatton, QLD, Australia;2. South Pacific Whale Research Consortium, Avarua, Rarotonga, Cook Islands;3. National Marine Mammal Laboratory, Alaska Fisheries Science Center, NMFS, NOAA, Seattle, WA, U.S.A.;4. School of Biological Sciences, University of Queensland, St Lucia, QLD, Australia;5. SecuritEase International, Petone, New Zealand;6. Opération Cétacés, Noumea, New Caledonia;7. School of Biological Sciences, University of Auckland, Auckland, New Zealand;8. Cook Islands Whale Research, Avarua, Rarotonga, Cook Islands;9. Marine Mammal Research Program, Maharepa, Moorea, French Polynesia;10. Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA, U.S.A.
Abstract:For cetaceans, population structure is traditionally determined by molecular genetics or photographically identified individuals. Acoustic data, however, has provided information on movement and population structure with less effort and cost than traditional methods in an array of taxa. Male humpback whales (Megaptera novaeangliae) produce a continually evolving vocal sexual display, or song, that is similar among all males in a population. The rapid cultural transmission (the transfer of information or behavior between conspecifics through social learning) of different versions of this display between distinct but interconnected populations in the western and central South Pacific region presents a unique way to investigate population structure based on the movement dynamics of a song (acoustic) display. Using 11 years of data, we investigated an acoustically based population structure for the region by comparing stereotyped song sequences among populations and years. We used the Levenshtein distance technique to group previously defined populations into (vocally based) clusters based on the overall similarity of their song display in space and time. We identified the following distinct vocal clusters: western cluster, 1 population off eastern Australia; central cluster, populations around New Caledonia, Tonga, and American Samoa; and eastern region, either a single cluster or 2 clusters, one around the Cook Islands and the other off French Polynesia. These results are consistent with the hypothesis that each breeding aggregation represents a distinct population (each occupied a single, terminal node) in a metapopulation, similar to the current understanding of population structure based on genetic and photo‐identification studies. However, the central vocal cluster had higher levels of song‐sharing among populations than the other clusters, indicating that levels of vocal connectivity varied within the region. Our results demonstrate the utility and value of using culturally transmitted vocal patterns as a way of defining connectivity to infer population structure. We suggest vocal patterns be incorporated by the International Whaling Commission in conjunction with traditional methods in the assessment of structure.
Keywords:acoustic display  humpback whale  Megaptera novaeangliae  population structure  song  South Pacific  vocal  whale culture  canto  cultivo de ballenas  demostració  n acú  stica  estructura poblacional  Megaptera novaeangliae  sur del Pací  fico  vocal  yubarta
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