2016
DOI: 10.1016/j.ecolmodel.2015.06.001
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Predicting global habitat suitability for Corbicula fluminea using species distribution models: The importance of different environmental datasets

Abstract: Please cite this article in press as: Gama, M., et al., Predicting global habitat suitability for Corbicula fluminea using species distribution models: The importance of different environmental datasets. Ecol. Model. (2015), http://dx. a b s t r a c tNiche-based models (NBMs) are increasingly being used to predict the biological distribution of species, as well as the importance of different environmental variables on their habitat adequability. Here, we investigate the reliability of these models in predictin… Show more

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Cited by 80 publications
(52 citation statements)
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“…Whilst all of these explanations are feasible, however, there is still a lot of uncertainty regarding the mechanistic basis by which species alter the functioning of an ecosystem, despite the well‐known effects of NIS on the structure of communities and biodiversity (e.g., Ilarri et al., ; Phelps, ). This is particularly concerning, given that biological invasions are expected to rise and ecological niches may become favorable for invasive species under climate change (Crespo, Leston, et al., ; Gama, Crespo, Dolbeth, & Anastácio, ; Montoya & Raffaelli, ).…”
Section: Discussionmentioning
confidence: 99%
“…Whilst all of these explanations are feasible, however, there is still a lot of uncertainty regarding the mechanistic basis by which species alter the functioning of an ecosystem, despite the well‐known effects of NIS on the structure of communities and biodiversity (e.g., Ilarri et al., ; Phelps, ). This is particularly concerning, given that biological invasions are expected to rise and ecological niches may become favorable for invasive species under climate change (Crespo, Leston, et al., ; Gama, Crespo, Dolbeth, & Anastácio, ; Montoya & Raffaelli, ).…”
Section: Discussionmentioning
confidence: 99%
“…We removed one of each pair of highly correlated ( r > .7) (Dormann et al., ) environmental variables to avoid collinearity among predictors (Gama, Crespo, Dolbeth, & Anastácio, ). We made the choices between variables based on the results of a species‐specific literature search.…”
Section: Methodsmentioning
confidence: 99%
“…We removed one of each pair of highly correlated (r > .7) (Dormann et al, 2013) environmental variables to avoid collinearity among predictors (Gama, Crespo, Dolbeth, & Anastácio, 2015).…”
Section: Species Distribution Modelingmentioning
confidence: 99%
“…An ensemble forecasting approach using the BIOMOD2 package (Thuiller, ) was used in R software (version: 2.14.0; R Development Core Team, ), similar to the one used in Gama, Crespo, Dolbeth, and Anastácio (), to model the potential ecological niche of C. fluminea ( sensu Guisan & Thuiller, ). Ensemble forecasting is based on the knowledge that by using several modelling techniques and calculating a measure of central tendency (mean or median), the range of projections can be evaluated and a more reliable prediction can be made.…”
Section: Methodsmentioning
confidence: 99%