Population Structure of Island-Associated Dolphins: Evidence from Photo-Identification of Common Bottlenose Dolphins (Tursiops truncatus) in the Main Hawaiian Islands

Abstract

Management agencies often use geopolitical boundaries as proxies for biological boundaries. In Hawaiian waters a single stock is recognized of common bottlenose dolphins, Tursiops truncatus, a species that is found both in open water and nearshore among the main Hawaiian Islands. To assess population structure, we photo-identified 336 distinctive individuals from the main Hawaiian Islands, from 2000 to 2006. Their generally shallow-water distribution, and numerous within-year and between-year resightings within island areas suggest that individuals are resident to the islands, rather than part of an offshore population moving through the area. Comparisons of identifications obtained from Kaua'i/Ni'ihau, O'ahu, the "4- island area," and the island of Hawai'i showed no evidence of movements among these island groups, although movements from Kaua'i to Ni'ihau and among the "4-islands" were documented. A Bayesian analysis examining the probability of missing movements among island groups, given our sample sizes for different areas, indicates that interisland movement rates are less than 1% per year with 95% probability. Our results suggest the existence of multiple demographically independent populations of island-associated common bottlenose dolphins around the main Hawaiian islands.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2009
Accession Number
ADA549516

Entities

People

  • Allan D. Ligon
  • Antoinette M. Gorgone
  • Daniel J. Mcsweeney
  • Daniel L. Webster
  • Gregory S. Schorr
  • Karen. K. Martien
  • Mark H. Deakos
  • Robin W Baird

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  • Cascadia Research

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  • Space

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  • Animals
  • Boundaries
  • California
  • Cetaceans
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  • Fish
  • Genetic Variation
  • Genetics
  • Geography
  • Human Behavior
  • Marine Mammals
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  • United States
  • Water
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  • Environmental science

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  • Marine Mammal Biology
  • Regression Analysis.

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