Functional and Phylogenetic Ecology in R

By N. Swenson. 2014

524 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/15c39ff137f0e927e8d48890402b11ddfba69a66

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Citations in the corpus

Dispersal traits drive the phylogenetic distance decay of similarity in Neotropical stream metacommunities (2015, background): “The taxa shuffle model holds the richness, occupancy and the alpha and beta diversity of samples constant and considers only the effect of phylogeny on the observed pattern (Swenson, 2011, 2014; Zhang et al., 2013).”
Shifts in plant functional composition following long‐term drought in grasslands (2019, methodology): “…effect sizes (SES) for each plot: where the mean and standard deviation of expected FDis (or FRic) were calculated from 999 randomly generated null community matrices using a ‘name‐swap’ and ‘independent‐swap’ algorithm for FDis and FRic, respectively (R code modified from Swenson, 2014).”
Vertical stratification influences global patterns of biodiversity (2018, methodology): “The null model kept species richness constant while randomizing assemblage composition, allowing comparisons of assemblages with different species richness (Gotelli and Graves 1996, Swenson 2014).”
Difficult decisions: Strategies for conservation prioritization when taxonomic, phylogenetic and functional diversity are not spatially congruent (2018, background): “where dij is the functional or phylogenetic distance (from a pairwise distance matrix–see: Cadotte and Davies, 2016; Swenson, 2014) between species i and species j, and N is the total number of species.”
Invaders among locals: Alien species decrease phylogenetic and functional diversity while increasing dissimilarity among native community members (2018, methodology): “This metric summarises the distance between all species combinations in a community, developed for functional analysis and adopted for phylogenetic studies (Swenson, 2014).”
Using functional and phylogenetic diversity to infer avian community assembly along elevational gradients (2019, unknown): “The direction of SES (higher or lower than the expected null) was interpreted as overdispersion or un‐ derdispersion, and the magnitude of SES was interpreted as the strength of the signal of deterministic processes on the assem‐ blage (Swenson, 2014).”
Microbial colonization of microplastics in the Caribbean Sea (2020, methodology): “According to Swenson (2014), dissimilarity between communities is not significant until a p value > 0.95 is reached.”
Effects of landscape configuration and composition on phylogenetic diversity of trees in a highly fragmented tropical forest (2017, unknown): “The standardized metrics are equivalent to PD, MPD and MNTD, but are standardized for species richness (Swenson 2014; Coronado et al. 2015; see also Appendix S2).”