Description Usage Arguments Details Value References
Calculates the pairwise resemblance (similarity or dissimilarity) in the Phylogenetic Diversity of ecological samples. A variety of PD versions of classic ecological resemblance measures are available as options. Optional abundance weighting is implemented using the method of Nipperess et al. (2010).
1 | phyloresembl(x, phy, incidence = TRUE, method = "sorensen", dissim = TRUE)
|
x |
is the community data given as a |
phy |
is a rooted phylogenetic tree with branch lengths stored as a
phylo object (as in the |
incidence |
is a |
method |
indicates the particular form of the resemblance index you wish
to use. Current options are: |
dissim |
is a |
Takes a community data table and a rooted phylogenetic tree (with branch lengths) and calculates the resemblance in Phylogenetic Diversity (PD-resemblance) of all pairwise combinations of samples/sites. The principles for calculating PD-resemblance on incidence data are discussed by Ferrier et al. (2007). This approach has been extended to include abundance data (Nipperess et al. 2010). When using incidence data, the 'sorensen' option is equivalent to the 'PhyloSor' measure of Bryant et al. (2008), while the 'jaccard' option is equivalent to the 'UniFrac' measure of Lozupone & Knight (2005).
A distance
object giving the PD-resemblance of all pairwise
combinations of sample/sites in x
.
Bryant, Lamanna, Morlon, Kerkhoff, Enquist & Green. 2008. Microbes on mountainsides: Contrasting elevational patterns of bacterial and plant diversity. Proceedings of the National Academy of Sciences 105: 11505–11511.
Ferrier, Manion, Elith & Richardson. 2007. Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Diversity & Distributions 13: 252-264.
Lozupone & Knight. 2005. UniFrac: a new phylogenetic method for comparing microbial communities. Applied and Environmental Microbiology 71: 8228–8235.
Nipperess, Faith & Barton. 2010. Resemblance in Phylogenetic Diversity among ecological assemblages. Journal of Vegetation Science 21: 809-820.
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