Can the invaded range of a species be predicted sufficiently using only native-range data? Lehmann lovegrass (Eragrostis lehmanniana) in the southwestern United States

By T. Mau-Crimmins, Heather Schussman, E. Geiger. 2006

115 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/a1366056f4b1a2cd77729ceed380734d9dfdeb84

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Citations in the corpus

Combined modelling of distribution and niche in invasion biology: a case study of two invasive Tetramorium ant species (2008, methodology): “To date, much of the work has focused on predicting species distributions (e.g. Loo et al ., 2007), with less attention being paid to the ecological niche itself (but see, e.g. Mau-Crimmins et al ., 2006; Roura-Pascual et al ., 2006).”
Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions (2009, background): “Given the potential for niche shifts, models based on data from both invaded and native ranges (i.e. closer to the species’ fundamental niche) may provide a more representative range of conditions under which the species may spread (but see Welk, 2004; Mau-Crimmins et al ., 2006) (Fig.”
Use of niche models in invasive species risk assessments (2011, background): “…in derived niche conditions among regions that suggest that only partial niche representations can be obtained from spatial or temporal data slices (Mau-Crimmins et al. 2006; Broennimann et al. 2007; Varela et al. 2009; Medley 2010), or that the phenotypic plasticity of the species is greater than…”
Thermogeography predicts the potential global range of the invasive European green crab (Carcinus maenas) (2010, methodology): “To forecast where C. maenas may invade in the future, we used a model based on records from both the native and invasive ranges combined (Mau-Crimmins et al., 2006; Beaumont et al., 2009).”
Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models (2011, background): “…been suggested that models of invasive species fitted with pooled data from alien and native ranges may improve the descriptive performance of the models relative to models fitted with native-range data only (Mau-Crimmins et al., 2006; Broennimann & Guisan, 2008; Sanchez-Fernandez et al., 2011).”