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    Difficulties identifying Australian sea lions (Neophoca cinerea) in the wild using whisker spot patterns

    Access Status
    Fulltext not available
    Authors
    Osterrieder, Sylvia
    Parnum, Iain
    Salgado Kent, Chandra
    Robinson, R.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Osterrieder, S. and Parnum, I. and Kent, C. and Robinson, R. 2017. Difficulties identifying Australian sea lions (Neophoca cinerea) in the wild using whisker spot patterns. Australian Mammalogy. 39 (1): pp. 56-71.
    Source Title
    Australian Mammalogy
    DOI
    10.1071/AM15051
    ISSN
    0310-0049
    School
    Centre for Marine Science and Technology
    URI
    http://hdl.handle.net/20.500.11937/52581
    Collection
    • Curtin Research Publications
    Abstract

    Individual identification is a beneficial tool in behavioural and ecological research. In mark-recapture studies, for example, it can improve abundance, residency and site fidelity estimates. Two non-invasive, photo-identification approaches, using whisker spot patterns, were tested to identify wild individual Australian sea lions (Neophoca cinerea). The Chamfer distance transform algorithm has shown promising results when applied to captive individuals. An alternative matching method using row/column locations of whisker spots, previously applied to lions (Panthera leo) was also tested. Resighting wild N. cinerea in this study proved unfeasible with both methods. Excessive variation between photographs of the same individual was found when applying the Chamfer distance transform, and similarity between photograph-pairs appeared to decrease with increasing time between photographs. Insufficient variation among N. cinerea row/column pattern was detected to successfully discriminate among individuals, averaging 39 mystacial spots (range 30-46, n=20) in seven rows and 9-10 columns. Additionally, different observers marking the same photographs introduced considerable variation. Colour difference (red, green and blue colour levels) between the whisker spots and surrounding fur affected marking spot locations significantly, increasing uncertainty when contrast decreased. While other pattern-matching algorithms may improve performance, accurate identification of spot locations was the current limitation. © 2017 Australian Mammal Society.

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