2018
DOI: 10.1007/978-3-319-71404-2
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Numerical Ecology with R

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Cited by 991 publications
(1,114 citation statements)
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“…All the tests were performed with the package Rcmdr (2, 1-7) and complementary packages, in the R environment (version 3.1.2) (Borcard et al 2011).…”
Section: Discussionmentioning
confidence: 99%
“…All the tests were performed with the package Rcmdr (2, 1-7) and complementary packages, in the R environment (version 3.1.2) (Borcard et al 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Second, a partial redundancy analysis (pRDA; Økland 2003) was run using matrix L as response and matrices M, X, and C as explanatory variables. Thus, we considered the gradient from seashore to inland as an explanatory linear spatial structure, and the MEMs as the more complex (patchy) structures (see Borcard et al 2011). A forward selection of variables was run on the explanatory matrices using the ordistep function of the package vegan.…”
Section: Discussionmentioning
confidence: 99%
“…This pRDA determined the bromeliads as an external cause over the other life forms within the forest. In all partitioning procedures, we used the RsquareAdj function in vegan to obtain unbiased estimates of fractions Borcard et al 2011). Lastly, spatial univariate and cross-correlation functions were estimated between bromeliads, fCover and the other life forms using spline (cross) correlograms (Bjørnstad and Falck 2001).…”
Section: Discussionmentioning
confidence: 99%
“…ANOSIM and the Mantel test), and robust enough to violations of the assumptions of normality and homoscedasticity of both data and their residuals (Anderson and Walsh, 2013). To visualize multivariate patterns, we plotted community composition using the first two axes of a three-dimensional non-metric multidimensional scaling (NMDS) based on Euclidean distance, because it preserves the ordering relationships among objects in a small and specified number of axes, and gives a less deformed representation of the distance relationships among objects than other distance methods in the same number of dimensions (Borcard et al, 2011). To assess whether there was a significant relationship (P < 0Á05) between the ordination axis scores (obtained by NMDS) and increased disturbance, we used the 'envfit()' function with 9999 permutations.…”
Section: Community Composition and Association With Disturbed Sitesmentioning
confidence: 99%