2018
DOI: 10.1007/s10750-018-3749-y
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Ensemble forecasting of the global potential distribution of the invasive Chinese mitten crab, Eriocheir sinensis

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Cited by 32 publications
(15 citation statements)
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“…Because of the lack of information about the distribution of E. sinensis larvae in marine environments, we focused on freshwater habitats as reported by Zhang et al (2019a). We retrieved worldwide records of the occurrence of E. sinensis from the published literature (Zhang et al, 2019a) and from several online repositories, including the DASSH archive for marine species and habitats data (https://www.dassh.ac.uk), the Global Biodiversity Information Facility (GBIF.org, 2020), the National Biodiversity Network Atlas (https://nbnatlas.org), the Nonindigenous Aquatic Species database of the US Geological Survey (https://nas. er.usgs.gov), and the United States Geological Survey's Biodiversity Information Serving Our Nation (https://bison.usgs.gov).…”
Section: Species Distribution Datamentioning
confidence: 99%
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“…Because of the lack of information about the distribution of E. sinensis larvae in marine environments, we focused on freshwater habitats as reported by Zhang et al (2019a). We retrieved worldwide records of the occurrence of E. sinensis from the published literature (Zhang et al, 2019a) and from several online repositories, including the DASSH archive for marine species and habitats data (https://www.dassh.ac.uk), the Global Biodiversity Information Facility (GBIF.org, 2020), the National Biodiversity Network Atlas (https://nbnatlas.org), the Nonindigenous Aquatic Species database of the US Geological Survey (https://nas. er.usgs.gov), and the United States Geological Survey's Biodiversity Information Serving Our Nation (https://bison.usgs.gov).…”
Section: Species Distribution Datamentioning
confidence: 99%
“…Nineteen global land surface predictors at a spatial resolution of 30 arcsec were downloaded from the CHELSA database (http://chelsaclimate.org), which contains averaged bioclimatic variables for the period 1979-2013 (Karger et al, 2017) (Supporting Information Table S1). Because of the catadromous lifestyle of E. sinensis, we further considered a predictor variable representing the distance to the coast (details in Zhang et al, 2019a). Before analyses, we checked for collinearity between these 20 predictors by calculating pairwise Pearson r correlation coefficients (details in Supporting Information Fig.…”
Section: Predictor Variablesmentioning
confidence: 99%
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