2006
DOI: 10.1098/rsbl.2006.0553
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A multiple-site similarity measure

Abstract: Similarity measures are among the most intuitive and common measures for comparing two or more sites, or samples, with respect to their species overlap. A restriction of similarity measures is that they are limited to pairwise comparisons even in a multiple-site study. This work presents a multiple-site similarity measure that makes use of information on species shared by more than two sites and avoids the problem of covariance between pairwise similarities in a multiple-site study. Further, we show that our m… Show more

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Cited by 139 publications
(157 citation statements)
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“…For a given number of sites T, C T S decreases with increasing number of "rare" species (i.e., species observed in only one or a few sites). Conversely, C T S increases with the increasing number of species observed in several sites (Diserud & Ødegaard 2007).…”
Section: Methodsmentioning
confidence: 90%
See 2 more Smart Citations
“…For a given number of sites T, C T S decreases with increasing number of "rare" species (i.e., species observed in only one or a few sites). Conversely, C T S increases with the increasing number of species observed in several sites (Diserud & Ødegaard 2007).…”
Section: Methodsmentioning
confidence: 90%
“…The expected frequencies are those that we would hope to fi nd if the null hypothesis (H o = 0) is true, given the total number of observations (Zar 1999). The level of similarity between the seven sites sampled, based on presence of galls, was calculated using a multiplesite similarity measure (range = 0-1), according with Diserud & Ødegaard (2007):…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, Jaccard's (1900) similarity index is z 2 /(2z 1 Ϫ z 2 ), and Sørensen's (1948) index is z 2 /z 1 . For multiple-assemblage similarity metrics, Koch's (1957) index of dispersity (i.e., taxonomic homogeneity) is (z 1 /S n Ϫ 1/n)/(1 Ϫ 1/n), and Diserud and Ødegaard's (2007) index is (n Ϫ S n /z 1 )/(n Ϫ 1). Clearly, pairwise indices are a combination of z 1 and z 2 only and do not consider higher-order z components (z i where i ≥ 3).…”
Section: Occupancy Frequency Distributionsmentioning
confidence: 99%
“…The few existing multiple-assemblage, incidence-based measures have shortcomings (Koch 1957;Diserud and Ødegaard 2007). These include (1) inference problems as a consequence of averaging nonindependent pairwise val- With an increase in number of samples, the number of unknown species gradually declines to S ϱ Ϫ S n .…”
Section: Introductionmentioning
confidence: 99%