2022
DOI: 10.52050/9788579175633
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Análises ecológicas no R

Abstract: O livro Análises Ecológicas no R é uma contribuição para o contínuo avanço do ensino de métodos computacionais, com um foco específico em análise de dados ecológicos através da linguagem R. O livro descreve como os códigos devem ser consequências das perguntas que a pesquisa pretende responder. Essa visão tem como consequência um livro que do começo ao fim conecta teoria ecológica, métodos científicos, análises quantitativas e programação. Isso é feito de modo explícito através de exemplos claros e didáticos q… Show more

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Cited by 6 publications
(7 citation statements)
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“…To investigate whether the diet of T. miliaris varied between the two sampled mountain ranges (Serra do Mar and Serra da Mantiqueira), we conducted a permutational analysis of variance (PERMANOVA) using the abundance ( N ) of each consumed prey category (Santana et al, 2019). This method enables testing of hypotheses and comparing species abundance across different environments using non‐normally distributed data (Silva et al, 2022). To assess whether the geographic distance influenced prey availability in the environments, we performed a Mantel test using the frequency ( F ) data for each prey category found in the sampling points for both mountain ranges.…”
Section: Methodsmentioning
confidence: 99%
“…To investigate whether the diet of T. miliaris varied between the two sampled mountain ranges (Serra do Mar and Serra da Mantiqueira), we conducted a permutational analysis of variance (PERMANOVA) using the abundance ( N ) of each consumed prey category (Santana et al, 2019). This method enables testing of hypotheses and comparing species abundance across different environments using non‐normally distributed data (Silva et al, 2022). To assess whether the geographic distance influenced prey availability in the environments, we performed a Mantel test using the frequency ( F ) data for each prey category found in the sampling points for both mountain ranges.…”
Section: Methodsmentioning
confidence: 99%
“…First, the larval composition assemblage data ( i.e ., family‐level identification) were standardized using the Hellinger coefficient, which takes into account the weight of both high and low abundances (Borcard et al ., 2018b; Legendre & Gallagher, 2001). Subsequently a dissimilarity matrix based on Bray–Curtis distances was constructed using the Hellinger‐transformed data (Borcard et al ., 2018a; Legendre & Gallagher, 2001; Silva et al ., 2022b). The dissimilarity matrix of the fish larval composition was the response variable, and the spatial variable, sampling sites and phases of the hydrological regime were the predictor variables.…”
Section: Methodsmentioning
confidence: 99%
“…Beta functional diversity was also considered in the analysis. It represents a measure of comparison of composition and variation of species functional traits between two or more sites (Silva et al 2022). Therefore, we calculate (1) the total beta diversity of the functional traits and their partitions into (2) turnover, a measure of species and trait replacement between sites, and (3) nestedness, representing the loss of species and traits between sites along a gradient (Baselga 2010;Villeger et al 2013) (Supporting Information 3).…”
Section: Beta Diversity and Functional Diversity Indexesmentioning
confidence: 99%
“…The decline in species richness has been widely observed (Jiguet et al 2010;Correll et al 2019) and is often related with changes in land cover. Until the 1990s, ecological theory investigated which processes determined species abundance and richness in space and time (Silva et al 2022). However, species richness alone could not reveal the whole story about the biodiversity of an area; actually, this only provides an estimate of the species number (Han et al 2021).…”
Section: Introductionmentioning
confidence: 99%