Partitioning multiple-site tree-like beta diversity into turnover and nestedness components without pairwise comparisons |
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| Institution: | 1. Laboratório de Diagnósticos por DNA, Universidade do Estado do Rio de Janeiro, Brazil;2. Laboratório de Ecologia de Peixes, Universidade do Estado do Rio de Janeiro, Brazil;3. Interdisciplinary Centre of Marine and Environmental Research (CIIMAR/CIMAR), University of Porto, Portugal;4. Instituto de Patologia Molecular e Imunologia (IPATIMUP)/Instituto de Investigação e Inovação em Saúde, Universidade do Porto/Faculdade de Ciências, UP, Portugal;1. Key Laboratory of Environmental and Applied Microbiology, CAS, Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China;2. Institute of Soil Biology, Czech Academy of Sciences, Na Sádkách 7, CZ37005, České Budějovice, Czech Republic;3. Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, B-9000, Gent, Belgium |
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| Abstract: | In this letter, I extend a species-level partitioning framework for a multiple-site dissimilarity index established by Ricotta and Pavoine (2015) to account for tree-like information (i.e., evolutionary history, taxonomic classification or functional divergence of species). This novel framework can be applied to evaluate the relative contribution of turnover versus nestedness to total multiple-site tree-like beta diversity in empirical settings. The feature of the framework is to account for expectedly and unexpectedly absence of species in the sites without pairwise comparisons between sites. Simple examples with step-by-step calculation details and corresponding R computing code are provided to better understand and apply the proposed framework. |
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| Keywords: | Beta diversity partitioning Turnover Nestedness Phylogenetic beta diversity Functional traits Taxonomic classification |
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