[MARMAM] New paper: Resident community of bottlenose dolphin in the Swan Canning Riverpark, Western Australia

Delphine Chabanne delphine.chabanne at gmail.com
Mon Mar 11 22:02:22 PDT 2013

Dear all,

We are pleased to announce the publication of the following paper:

Chabanne, D., Finn, H., Salgado-Kent, C., and Bejder, L. (2012).
Identification of a resident community of bottlenose dolphins (*Tursiops
aduncus*) in the Swan Canning Riverpark, Western Australia, using
behavioural information. *Pacific Conservation Biology* 18: 247-262.

The pdf can be accessed online via the PCB website

or via email request to D.Chabanne at murdoch.edu.au


Identifying appropriate management units is vital for wildlife management.
Here we investigate one potential management unit – resident communities of
bottlenose dolphins – using information from ranging, occupancy, and
association patterns. We identify a resident community of Indo-Pacific
bottlenose dolphins (*Tursiops* *aduncus*) in the Swan Canning Riverpark,
Western Australia based on: ranging patterns, sighting rates, Lagged
Identification Rates (LIR), and three measures of social affinity and
structure (Simple Ratio Index, preferred dyadic association analyses, and
Lagged Association Rates (LAR)). The analyses yielded an estimated
‘community size’ of 17-18 individuals (excluding calves). High seasonal
sighting rates (> 0.75 sightings per season) and a long mean residence time
(ca. nine years) indicated year-round residency. The model best-fitting the
LIR (emigration and mortality) also supported this. The social structure of
dolphins was species-typical, characterized by significant dyadic
associations within age-sex classes (permutation test; *P *< 0.001),
stronger associations among adult males than among adult females (LAR males
> LAR females), and temporally stable associations (LAR > null LAR).
Constant companions or long-lasting association models best explained adult
male and female LARs. While behavioural information identified a resident
community in the Riverpark, genetic and demographic information is needed
to assess its appropriateness as a management unit.


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