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ANOVA-like Similarity Analysis Using Expected Species Shared

Woollcott Smith
Biometrics
Vol. 45, No. 3 (Sep., 1989), pp. 873-881
DOI: 10.2307/2531688
Stable URL: http://www.jstor.org/stable/2531688
Page Count: 9
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ANOVA-like Similarity Analysis Using Expected Species Shared
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Abstract

Recently Rao (1984, Sankhyā, The Indian Journal of Statistics, Series A 44, 1-22) and Rao and Nayak (1985, IEEE Transactions on Information Theory IT-31, 589-593) have developed a general decomposition of diversity in much the same way as variance is decomposed in analysis of variance. The number of species shared between samples from two populations fits naturally into this theory. Thus, it is possible to partition the variation in species shared. In an example, the variability in species shared in deep sea benthic samples is partitioned into factors of season and year.

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