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    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2012 Dissertations (MU)
    • 2012 MU dissertations - Freely available online
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    The secret lives of African forest elephants: using genetics, networks, and telemetry to understand sociality

    Schuttler, Stephanie Grace
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    Date
    2012
    Format
    Thesis
    Metadata
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    Abstract
    Knowledge of social structure is important to understanding the overall evolution and behavioral ecology of a species as it ultimately influences spatial patterns and gene flow. This dissertation focuses on the social structure of African forest elephants (Loxodonta cyclotis) and tests for fission-fusion sociality using satellite telemetry, noninvasive genetic sampling, and social networks. Satellite telemetry results from six adult females in Loango National Park, Gabon revealed small home ranges with low probabilities of co-occurrence between individuals, suggesting spatial avoidance among these females. In contrast, network models created from non-invasive genetic approaches from forest elephants in Lopé National Park, Gabon revealed more extensive networks of individuals suggesting fission-fusion sociality. Also, adult females at distances of five kilometers or less were more closely related to each other than expected from chance. Known adult females and their associates were tracked through observations in 2006, 2008, and 2010. Social networks revealed evidence of kin-based fission-fusion sociality. Although forest elephant females associate in fission-fusion patterns, they frequently separate from them, and when preferred associations do form, it is typically with only one other individual. When comparing these results with other extant elephant species, they suggest that although there is evidence of kin-based fission-fusion sociality, forest elephant differ by having many small components and solitary individuals, and overall a disconnected network.
    URI
    https://hdl.handle.net/10355/33104
    https://doi.org/10.32469/10355/33104
    Degree
    Ph. D.
    Thesis Department
    Biological sciences (MU)
    Collections
    • Biological Sciences electronic theses and disserations (MU)
    • 2012 MU dissertations - Freely available online

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