@ARTICLE{TreeBASE2Ref19045, author = {Anthony R Ives and Matthew R Helmus}, title = {Phylogenetic metrics of community similarity}, year = {2010}, keywords = {fish, macrophyte, Wisconsin, lake, dissimilarity measure, environmental gradient, phylogenetic community structure, phylogenetic beta diversity, phylogeny, S?rensen?s similarity index, species turnover, UniFrac}, doi = {10.1086/656486}, url = {http://}, pmid = {}, journal = {American Naturalist}, volume = {176}, number = {5}, pages = {E128?E142}, abstract = {We derive a new metric of community similarity that takes into account the phylogenetic relatedness among species. This metric, phylogenetic community dissimilarity (PCD), can be partitioned into two components, a non-phylogenetic component that reflects shared species between communities (analogous to S?rensen?s similarity metric), and a phylogenetic component that reflects the evolutionary relationships among non-shared species. Therefore, even if a species is not shared between two communities, if it is phylogenetically related to species in the other community, it will increase the similarity of the two communities. We illustrate PCD with data on fish and aquatic macrophyte communities from 59 temperate lakes. Dissimilarity between fish communities associated with environmental differences between lakes often has a phylogenetic component, while this is not the case for macrophyte communities. With simulations, we then compare PCD with two other metrics of phylogenetic community similarity, ST and UniFrac. Of the three metrics, PCD was best at identifying environmental drivers of community dissimilarity, showing lower variability and greater statistical power. Thus, PCD is a statistically powerful metric that separates the effects of environmental drivers on compositional vs. phylogenetic components of community structure.} }

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