2011
DOI: 10.1007/978-1-4419-7976-6
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Numerical Ecology with R

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Cited by 2,196 publications
(1,522 citation statements)
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“…Two multiple regression models were used to predict total above-ground C (univariate (Borcard et al, 2011) were also included in this RDA model. Prior to analysis, the numeric explanatory variables were normalized and standardized while the response variables were normalized.…”
Section: © 2012 Blackwell Publishing Ltdmentioning
confidence: 99%
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“…Two multiple regression models were used to predict total above-ground C (univariate (Borcard et al, 2011) were also included in this RDA model. Prior to analysis, the numeric explanatory variables were normalized and standardized while the response variables were normalized.…”
Section: © 2012 Blackwell Publishing Ltdmentioning
confidence: 99%
“…Prior to analysis, the numeric explanatory variables were normalized and standardized while the response variables were normalized. Global forward selection was used to obtain a parsimonious RDA model and verify for inflated variance (VIF), in order to minimize the correlation among variables (Borcard et al, 2011). This procedure resulted in a simplified model consisting of the land-use types (categorical), the richness, the identity of the dominant (categorical) and one spatial variable (medium scale).…”
Section: © 2012 Blackwell Publishing Ltdmentioning
confidence: 99%
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“…In order to quantify the fractions of fungal community variance explained by all measured environmental variables, the partition of variation was performed. Significant variables were forward‐selected from three subsets (spatial variables, soil variables, and plant types) in order to avoid explanatory variable collinearity in the model and to search for parsimony, following the methods in Borcard, Gillet, and Legendre (2011). Subsequently, the fractions of fungal community variance independently explained by the forward‐selected environmental variables were computed and tested for significance.…”
Section: Methodsmentioning
confidence: 99%
“…A relação entre os atributos foliares e a radiação luminosa incidente foi verificada por meio do teste de Correlação de Pearson. Todas as análises estatísticas foram realizadas em software R Studio com interface ao pacote R commander (Borcard et al 2011).…”
Section: Methodsunclassified