Partitioning beta diversity in a subtropical broad-leaved forest of China.

By Pierre Legendre, Xiangcheng Mi, H. Ren, K. Ma, Mingjian Yu, I Fang Sun, Fangliang He. Ecology, 2009

635 citations recorded by the source corpus.

Subfields: Classics, Language and Linguistics, Plant Science

View Paper: https://www.semanticscholar.org/paper/ae175f56bb85923894370dd79fdb6a0f07ae4ef4

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In Plant Science

Citations in the corpus

Disturbance alters beta‐diversity but not the relative importance of community assembly mechanisms (2015, methodology): “One popular way to assess the importance of clumping processes is to partition variation in b-diversity into components explained by environmental and spatial gradients (e.g. Cottenie 2005; Legendre et al. 2009).”
Assembly history alters alpha and beta diversity, exotic–native proportions and functioning of restored prairie plant communities (2012, background): “Journal of Applied Ecology © 2012 British Ecological Society much variation in species composition is left unexplained after relating it to abiotic conditions (e.g. Condit et al. 2002; Legendre et al. 2009).”
Community assembly during secondary forest succession in a Chinese subtropical forest (2011, methodology): “Using data from a single 24-ha plot in Gutianshan and accounting for auto-correlation, Legendre et al. (2009) found the contribution of spatially independent habitat effects to be ,5% both for explaining species richness and b diversity.”
The variation of tree beta diversity across a global network of forest plots (2012, methodology): “We investigated the structure of non-directional beta diversity of tree species by dividing it into topographical (BD[a+b]), pure spatial (BD[c]) and unexplained (BD[d]) components (Legendre et al., 2005, 2009).”
Strong plant-soil associations in a heterogeneous subtropical broad-leaved forest (2011, methodology): “…Zn, bulk density, N-NH4 +, N-NO3 −) in structuring community at GTS. Discussion Species-soil associations There are many methods to divide a community into different habitat types, such as clustering analysis and multivariate regression tree analysis with indicative species (Legendre et al. 2009).”
Estimating and mapping ecological processes influencing microbial community assembly (2015, background): “…have not been measured; (ii) spatial axes fail to capture idiosyncratic patterns in spatial isolation among communities; or (iii) community composition is non-linearly related to explanatory variables (see discussions in Laliberte et al., 2009; Legendre et al., 2009; Anderson et al., 2011).”
A diversity of beta diversities: straightening up a concept gone awry. Part 2. Quantifying beta diversity and related phenomena (2010, background): “With absolute abundance data, the squared Euclidean distance is not a function of alpha and gamma diversity at all (as in Legendre et al. 2005, 2009, Arias-González et al. 2008).”
Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. (2011, methodology): “…partition r̂2 into a portion explained by a set of spatial variables (X), a portion explained by a set of measured environmental variables (Z), some overlap in what these two sets explain, and a residual (unexplained) portion using RDA or dbRDA (Borcard et al. 1992; Legendre et al. 2009).”
Effects of topography on structuring local species assemblages in a Sri Lankan mixed dipterocarp forest (2013, methodology): “This is similar to the number of habitats identified for the 24-ha Gutianshan FDP in China (Legendre et al. 2009) and the 25-ha plot of Yasuni in Amazone, Ecuador (Valencia et al.”
Species-habitat associations change in a subtropical forest of China (2009, methodology): “The abundance of 121 species and the value of the above four topographical attributes [aspect was represented by sin (aspect) and cos (aspect)] in the 600 quadrats were selected for habitat categorization by the MRT procedure, computed using the ‘‘mvpart’’ library of the R statistical language (Lege”
Beta diversity of plants, birds and butterflies is closely associated with climate and habitat structure (2017, background): “Topography influences water availability and soil biogeochemical processes and should thus filter communities based on limiting soil resources, such as water and nutrient availability (e.g., Baldeck et al., 2013; Legendre et al., 2009).”
Patterns of elevational beta diversity in micro‐ and macroorganisms (2012, methodology): “Third, we partitioned beta diversity into spatial (including elevation and horizontal distance), environmental and anthropogenic components (human impact) using canonical redundancy analysis (RDA) following the procedures described in Legendre et al. (2005, 2009).”