A multiple-site similarity measure independent of richness

Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales-CSIC, c/José Gutiérrez Abascal 2, 28006 Madrid, Spain.
Biology letters (Impact Factor: 3.25). 12/2007; 3(6):642-5. DOI: 10.1098/rsbl.2007.0449
Source: PubMed


The Diserud-Ødegaard multiple-site similarity index makes use of data on species shared by two or more sites, but produces equal similarity values in two different circumstances: species loss and true species turnover. We developed a new multiple-site similarity measure, which is independent of richness and performs better than the Diserud-Ødegaard index under conditions of equal richness between sites, because it discriminates between situations in which shared species are distributed evenly among sites or concentrated in few pairs of sites. We conducted several simulations to assess the relative performance of both the indices. The use of the new measure is recommended, enabling the simultaneous analysis of turnover and richness gradients based on two independent measures.

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Available from: Andrés Baselga, Oct 03, 2015
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    • "Simpson index proposed by Baselga et al. (2007) is independent of richness gradients thus identifying completely nested biotas as entirely similar (see Baselga et al., 2007). "
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    ABSTRACT: Multiple-site dissimilarity may be caused by two opposite processes of meta-community organization, such as species nestedness and turnover. Therefore, discriminating among these contributions is necessary for linking multiple-site dissimilarity to ecosystem functioning. This paper introduces a measure of multiple-site dissimilarity or beta diversity for presence/absence data that is based on information on species absences from the species × sites matrix. It is also shown that the newly proposed dissimilarity index can be additively partitioned into species nestedness and turnover.
    Ecological Indicators 07/2015; 54. DOI:10.1016/j.ecolind.2015.02.026 · 3.44 Impact Factor
    • "neighboring one (Lennon et al., 2001). The pairwise Simpson dissimilarity index, and its multiple-site generalization (Baselga et al., 2007) efficiently discriminate turnover from nestedness. In addition, b dis has the property of being independent of richness gradients between sites, thus can be used to search for differences in species composition that are not caused by differences in species richness (Koleff et al., 2003). "
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    ABSTRACT: We examined the relationships between different environmental factors and the alpha and betadiversity of terrestrial vertebrates (birds, mammals, amphibians and reptiles) in a Mediterranean region at the landscape level. We investigated whether the mechanisms underlying alpha and betadiversity patterns are influenced by energy availability, habitat heterogeneity and temporal variability and if the drivers of the diversity patterns differed between both components of diversity. We defined alpha-diversity as synonym of species richness whereas beta-diversity was measured as distinctiveness. We evaluated a total of 13 different predictors using generalized linear mixed model (GLMM) analysis. Habitat spatial heterogeneity increased alpha-diversity, but contrastingly, it did not significantly affect beta-diversity among sites. Disturbed landscapes may show higher habitat spatial variation and higher alpha-diversity due to the contribution of highly generalist species that are wide-distributed and do not differ in composition (beta-diversity) among different sites within the region. Contrastingly, higher betadiversity levels were negatively related to more stable sites in terms of temporal environmental variation. This negative relationship between environmental stability and beta-diversity levels is explained in terms of species adaptation to the local environmental conditions. Our study highlights the importance of temporal environmental variability in maintaining beta-diversity patterns under highly variable environmental conditions
    Acta Oecologica 07/2015; 68:1-10. DOI:10.1016/j.actao.2015.06.006 · 1.62 Impact Factor
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    • "Specialization and rarity indices were computed from the large botanical and ecological database SOPHY (GIVD ID EU-FR-003) using R 3.0.1 [13] and the code provided by Fridley et al. [6] in Appendix S1, Zeleny [15] in Appendix S2 and Baselga et al. [1] via the R function Simpson.multi ( Â ). Rarity was calculated as the inverse of species occurrence. "
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    ABSTRACT: The biological diversity of the Earth is being rapidly depleted due to the direct and indirect consequences of human activities. Specialist or rare species are generally thought to be more extinction prone than generalist or common species. Testing this assumption however requires that the rarity and ecological specialization of the species are quantified. Many indices have been developed to classify species as generalists vs. specialists or as rare vs. common, but large data sets are needed to calculate these indices. Here, we present a list of specialization and rarity values for more than 2,800 plant species of continental France, which were computed from the large botanical and ecological dataset SOPHY. Three specialization indices were calculated using species co-occurrence data. All three indices are based on (dis)similarity among plant communities containing a focal species, quantified either as beta diversity in an additive [6] or multiplicative [15] partitioning of diversity or as the multiple site similarity of Baselga et al. [1]. Species rarity was calculated as the inverse of a species occurrence.
    03/2015; 3. DOI:10.1016/j.dib.2015.02.015
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