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    Some Comments on Niche Analysis in Canonical Space

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    Slade_1982.pdf (11.23Mb)
    Issue Date
    1982-08-01
    Author
    Carnes, Bruce A.
    Slade, Norman A.
    Publisher
    Ecological Society of America
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Rights
    Copyright by the Ecological Society of America
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    Abstract
    Discriminant functions have been used to identify axes of niche separation, and dispersion of locations on these axes have, in turn, been interpreted as representing niche width and specialization. We discuss the influence of sampling scheme and choice of niche measures on the results of an analysis conducted in canonical space. Specifically, habitat variables measured at random locations should provide a more representative measure of habitat available than would recording habitat only where animals are observed. Species presence information alone tends to bias the mean habitat toward the one where the most common species is found. If niche specialization is to be measured by distance from the overall mean habitat, each sampling station should receive equal weighting. The most straightforward measure of habitat breadth seems to be the variance or standard deviation of canonical scores. The mean squared distance from the species centroid can then be used as a comparable multidimensional breadth measure. Finally, we suggest that niche overlap be measured via a joint probability density function rather than by area of overlap of concentration ellipses.
    URI
    http://hdl.handle.net/1808/17980
    DOI
    https://doi.org/10.2307/1937227
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    • Ecology and Evolutionary Biology Scholarly Works [1176]
    Citation
    Carnes, Bruce A.; Slade, Norman A. (1982). "Some Comments on Niche Analysis in Canonical Space." Ecology, 63(4):888-893. http://dx.doi.org/10.2307/1937227.

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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