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  • A hierarchical zero-inflated Poisson regression model for stream fish distribution and abundance

    Author(s)
    Boone, EL
    Stewart-Koster, B
    Kennard, MJ
    Griffith University Author(s)
    Kennard, Mark J.
    Stewart-Koster, Ben D.
    Year published
    2012
    Metadata
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    Abstract
    Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero-inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire-tailed Gudgeon), a native species to eastern Australia.Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero-inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire-tailed Gudgeon), a native species to eastern Australia.
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    Journal Title
    Environmetrics
    Volume
    23
    Issue
    3
    DOI
    https://doi.org/10.1002/env.1145
    Subject
    Freshwater Ecology
    Mathematical Sciences
    Environmental Sciences
    Publication URI
    http://hdl.handle.net/10072/47007
    Collection
    • Journal articles

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