Niche‐based modelling as a tool for predicting the risk of alien plant invasions at a global scale

By Wilfried Thuiller, D. Richardson, Petr Pyšek, Guy F. Midgley, G. Hughes, Mathieu Rouget. Global Change Biology, 2005

1,006 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8880b759559de843fe96f3eac554618a915216cf

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Citations in the corpus

Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia (2010, background): “…& Thuiller 2007), pre-emptive projection of the spatial extent and magnitude of risk posed by introductions both now (Panetta & Mitchell 1991; Thuiller et al. 2005; Ficetola, Thuiller &Miaud 2007; Mgidi et al. 2007; Crossman & Bass 2008) and under future climates (Broennimann&Guisan 2008;…”
Predicting Invasive Plants in Florida Using the Australian Weed Risk Assessment (2008, methodology): “If we had used climate-matching programs, the time for comparing home and invaded-range climate variables to those in the potential new range would add time to the assessment procedure, although previously compiled climate data (e.g., Thuiller et al. 2005) would facilitate the process.”
Soil seed banks in plant invasions: promoting species invasiveness and long-term impact on plant community dynamics. (2012, background): “Soil seed banks, invasive species and climate change Climate strongly regulates the distribution of alien plants (e.g. Thuiller et al. 2005, 2006, Richardson & Thuiller 2007, Essl et al. 2011) by affecting all developmental stages, from seed development to seedling recruitment (Probert 2000, Adler…”
Knowing the past to predict the future: land‐use change and the distribution of invasive bullfrogs (2010, methodology): “Climatic suitability is a key tool to predict invasion risk at coarse spatial scales, i.e., from countrywide to global (Roura-Pascual et al., 2004; Thuiller et al., 2005).”
Predicting potential distributions of invasive species: where to go from here? (2010, background): “…of environmental and distributional data, have been successfully applied to describe and extrapolate presence/absence patterns for large numbers of potentially invading species and over large areas (Daehler & Carino, 2000; Roura-Pascual et al., 2004; Thuiller et al., 2005; Ficetola et al., 2007).”
Climate change increases risk of plant invasion in the Eastern United States (2009, methodology): “Several studies have used BEMs to model climatic habitats of invasive plant species in order to assess current invasion risk (Mau-Crimmins et al. 2006; Nielsen et al. 2008; Rouget et al. 2004; Schussman et al. 2006; Thuiller et al. 2005; Welk et al. 2002; Zhu et al. 2007).”
Invasive and flexible: niche shift in the drosophilid Zaprionus indianus (Insecta, Diptera) (2010, background): “future distribution of invasive species are often estimated by bioclimatic envelope modeling, also known as ecological niche modeling or species distribution modeling (Peterson and Vieglais 2001; Peterson 2003; Thuiller et al. 2005; Chen et al. 2007; Giovanelli et al. 2008; Roura-Pascual et al. 2009”
Measuring ecological niche overlap from occurrence and spatial environmental data (2012, methodology): “Our method is appropriate for the study of between-species differences of niches (e.g. Thuiller et al., 2005a; Hof et al., 2010), as well as to compare subspecies or distinct populations of the same species that differ in their geographical distributions and which are therefore likely to experience…”
Potential distribution range of invasive plant species in Spain (2012, background): “Besides propagule pressure, differences in the potential distribution range might be also explained by differences in their niche breadth (Thuiller et al. 2005) and the availability of suitable habitats for establishment.”
Establishment success of invasive ring‐necked and monk parakeets in Europe (2009, background): “…fully capture the climatic determinants of the parakeets’ native ranges, and thus avoid truncated response curves in the models (Austin & Gaywood, 1994; Thuiller et al., 2005), we therefore designated broad study areas, encompassing the ranges of the parakeets as depicted in Juniper & Parr (2003).”
Ecological niche shifts and environmental space anisotropy: a cautionary note (2011, background): “Similar reasoning applies to many other applications of the niche modeling idea: forecasting effects of global climate change (Thomas et al., 2004), hindcasting historical distributions (Waltari et al., 2007), etc.”