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    Techniques for cetacean–habitat modeling

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    m310p271.pdf (276.5Kb)
    Date
    2006-04-03
    Author
    Redfern, J. V.  Concept link
    Ferguson, M. C.  Concept link
    Becker, E. A.  Concept link
    Hyrenbach, K. D.  Concept link
    Good, Caroline P.  Concept link
    Barlow, Jay  Concept link
    Kaschner, K.  Concept link
    Baumgartner, Mark F.  Concept link
    Forney, K. A.  Concept link
    Ballance, L. T.  Concept link
    Fauchald, P.  Concept link
    Halpin, Patrick N.  Concept link
    Hamazaki, T.  Concept link
    Pershing, Andrew J.  Concept link
    Qian, Song S.  Concept link
    Read, Andrew J.  Concept link
    Reilly, S. B.  Concept link
    Torres, Leigh  Concept link
    Werner, Francisco E.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/4510
    As published
    https://doi.org/10.3354/meps310271
    DOI
    10.3354/meps310271
    Keyword
     Cetacean–habitat modeling; Predictive models; Regression models; Cross validation; Spatial autocorrelation; Classification models; Ordination; Environmental envelope models 
    Abstract
    Cetacean–habitat modeling, although still in the early stages of development, represents a potentially powerful tool for predicting cetacean distributions and understanding the ecological processes determining these distributions. Marine ecosystems vary temporally on diel to decadal scales and spatially on scales from several meters to 1000s of kilometers. Many cetacean species are wide-ranging and respond to this variability by changes in distribution patterns. Cetacean–habitat models have already been used to incorporate this variability into management applications, including improvement of abundance estimates, development of marine protected areas, and understanding cetacean–fisheries interactions. We present a review of the development of cetacean–habitat models, organized according to the primary steps involved in the modeling process. Topics covered include purposes for which cetacean–habitat models are developed, scale issues in marine ecosystems, cetacean and habitat data collection, descriptive and statistical modeling techniques, model selection, and model evaluation. To date, descriptive statistical techniques have been used to explore cetacean–habitat relationships for selected species in specific areas; the numbers of species and geographic areas examined using computationally intensive statistic modeling techniques are considerably less, and the development of models to test specific hypotheses about the ecological processes determining cetacean distributions has just begun. Future directions in cetacean–habitat modeling span a wide range of possibilities, from development of basic modeling techniques to addressing important ecological questions.
    Description
    Author Posting. © Inter-Research, 2006. This article is posted here by permission of Inter-Research for personal use, not for redistribution. The definitive version was published in Marine Ecology Progress Series 310 (2006): 271-295, doi:10.3354/meps310271.
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    • Biology
    Suggested Citation
    Marine Ecology Progress Series 310 (2006): 271-295
     

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