Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions

By Linda Beaumont, R. Gallagher, Wilfried Thuiller, P. Downey, M. Leishman, Lesley Hughes. 2009

337 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/10bc0919f34603f250d95dc815e201423328e978

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In Ecological Modeling

In Genetics

In Nature and Landscape Conservation

Citations in the corpus

Climate change and weed adaptation: can evolution of invasive plants lead to greater range expansion than forecasted? (2011, background): “…employed to predict how the distribution of invasive plants might be altered with changes in climate (Kriticos et al., 2003, 2004; Guisan & Thuiller, 2005; Dormann, 2007; Broennimann & Guisan, 2008; Beaumont et al., 2009; Jarnevich & Stohlgren, 2009; McDonald et al., 2009; Watt et al., 2009).”
The role of bioclimatic origin, residence time and habitat context in shaping non-native plant distributions along an altitudinal gradient (2010, background): “…for predicting whether a species will become invasive (Peterson 2003; Thuiller et al. 2005), the climatic niche of some non-native plants appears to have changed in the introduced range (niche shift, Alexander and Edwards 2010; Beaumont et al. 2009; Broennimann et al. 2007; Maron et al. 2007).”
Knowing the past to predict the future: land‐use change and the distribution of invasive bullfrogs (2010, background): “Climate, in fact, is a major driver of environmental suitability for AIS, thus many recent studies used scenarios of future climate to project species distribution model and to predict the areas that might become suitable for AIS in the future (Roura-Pascual et al., 2004; Beaumont et al., 2009; Fice”
Predicting potential distributions of invasive species: where to go from here? (2010, methodology): “Screening approaches do not directly account for underlying processes but assume that the influence of local processes can be captured indirectly by analysing patterns at larger spatial scales (Ficetola et al., 2007; Beaumont et al., 2009a; Roura-Pascual et al., 2009b).”
Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles (2011, background): “This issue has been recently explored with regard to the spatial transferability of SDMs for invasive species (Beaumont et al., 2009).”
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).”
Risks of biological control for conservation purposes (2012, background): “1999), several recent examples show that the niche of introduced species in fact often changes substantially and quickly (e.g., Broennimann et al. 2007; Fitzpatrick et al. 2007; Loo et al. 2007; Broennimann and Guisan 2008; Beaumont et al. 2009; Rödder and Lötters 2009; Medley 2010).”
Use of niche models in invasive species risk assessments (2011, background): “suggested by a few authors (Welk 2004; Mau-Crimmins et al. 2006; Broennimann and Guisan 2008; Beaumont et al. 2009), an ideal approach to forecasting species’ invasions would take into consideration all available information coming from native and invaded regions, as well as those provided by differ”
Ongoing invasions of the African clawed frog, Xenopus laevis: a global review (2012, background): “Lastly, we determine whether the invasion potential of this species has been underestimated (Beaumont et al. 2009).”
Invasive species distribution models – how violating the equilibrium assumption can create new insights (2012, methodology): “…been used to predict the potential distributions of invasives in adventive regions (using the realized regional niche; e.g. Rouget et al., 2004), at the global scale (using the global niche; e.g. Beaumont et al., 2009) and even under environmental change scenarios (e.g. Roura-Pascual et al., 2004).”