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    National Tsing Hua University Institutional Repository > 理學院 > 統計學研究所 > 期刊論文 >  A new statistical approach for assessing similarity of species composition with incidence and abundance data


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/54104


    Title: A new statistical approach for assessing similarity of species composition with incidence and abundance data
    Authors: Chao A;Chazdon RL;Colwell RK;Shen TJ
    教師: 趙蓮菊
    Date: 2005
    Publisher: Wiley-Blackwell
    Relation: ECOLOGY LETTERS,Volume: 8,Issue: 2,Pages: 148-159,Published: FEB 2005
    Keywords: BETA-DIVERSITY
    TROPICAL FORESTS
    RAIN-FOREST
    DISTRIBUTIONS
    TURNOVER
    Abstract: The classic Jaccard and Sorensen indices of compositional similarity (and other indices that depend upon the same variables) are notoriously sensitive to sample size, especially for assemblages with numerous rare species. Further, because these indices are based solely on presence-absence data, accurate estimators for them are unattainable. We provide a probabilistic derivation for the classic, incidence-based forms of these indices and extend this approach to formulate new Jaccard-type or Sorensen-type indices based on species abundance data. We then propose estimators for these indices that include the effect of unseen shared species, based on either (replicated) incidence- or abundance-based sample data. In sampling simulations, these new estimators prove to be considerably less biased than classic indices when a substantial proportion of species are missing from samples. Based on species-rich empirical datasets, we show how incorporating the effect of unseen shared species not only increases accuracy but also can change the interpretation of results.
    URI: http://as.wiley.com/WileyCDA/Brand/id-35.html
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/54104
    Appears in Collections:[統計學研究所] 期刊論文

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