2015
DOI: 10.1016/j.ecocom.2015.02.003
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Modeling the spread of invasive nutrias (Myocastor coypus) over Iran

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Cited by 19 publications
(9 citation statements)
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“…Although on a continental scale, climatic aspects are clearly of higher importance (Franklin 2010), some of the predictors associated with land cover consistently showed a significant influence on occurrence probability which, for example, increased with increasing amount of wetlands within a grid cell. The relevance of land cover variables for coypu occurrence was reported by previous studies (Scheide 2013, Farashi andNajafabadi 2015) and should definitely be taken into account in future studies that are conducted on a finer scale. Bertolino and Ingegno (2009) showed that coypu prefers rice paddies as habitats in Northern Italy.…”
Section: Environmental Predictors Shaping Coypu Occurrencementioning
confidence: 54%
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“…Although on a continental scale, climatic aspects are clearly of higher importance (Franklin 2010), some of the predictors associated with land cover consistently showed a significant influence on occurrence probability which, for example, increased with increasing amount of wetlands within a grid cell. The relevance of land cover variables for coypu occurrence was reported by previous studies (Scheide 2013, Farashi andNajafabadi 2015) and should definitely be taken into account in future studies that are conducted on a finer scale. Bertolino and Ingegno (2009) showed that coypu prefers rice paddies as habitats in Northern Italy.…”
Section: Environmental Predictors Shaping Coypu Occurrencementioning
confidence: 54%
“…One widely used approach to reveal potential distributions of invasive alien species is via species distribution models (SDMs), which correlate a species' occurrence in geographical space with environmental variables in order to predict its potential distribution through spatial and temporal extrapolation (Elith and Leathwick 2009, Václavík and Meentemeyer 2009, Franklin 2010, Jiménez-Valverde et al 2011. Although some studies have applied SDMs to the coypu (Bertolino and Ingegno 2009, Scheide 2013, Farashi and Najafabadi 2015, Hong et al 2015, Jarnevich et al 2017, a detailed investigation on a pan-European scale, taking into account land cover, bioclimatic and socioeconomic factors, is yet missing.…”
Section: Introductionmentioning
confidence: 99%
“…We tested for multi-collinearity amongst variables using Pearson correlation coefficients from a principal component analysis. Using the scores from the first two principal components (cumulative percentage, 58.614%), we excluded variables with a cross-correlation coefficient absolute value exceeding 0.75 ( Tables S2 and S3 ; Farashi & Najafabadi , 2015 ). This reduced our predictor variable set to 17 environmental variables that may influence the distribution and physiological performance of threatened plant species and can therefore be used in ENMs to infer the current climate suitability of threatened plant species ( Tables S2 and S3 ; Wang et al , 2015 ).…”
Section: Methodsmentioning
confidence: 99%
“…Whilst they successfully colonized most of England and Wales, the rate of their spread being in a good agreement with predictions of relevant mathematical models [4,29], they have largely failed to spill over to central and northern Scotland, and the landscape geometry -as given by large areas that are not accessible to squirrels such as swamps or high mountain ranges -is thought to be a reason for that [56]. As another example, it was found in a study on the invasion of nutria in Iran that about one third of the country could potentially be colonized [9]. In reality, however, having been introduced about one hundred years ago to the sub-Caspian region, this species remains confined to largely the same area.…”
Section: Introductionmentioning
confidence: 85%