Home away from home — objective mapping of high‐risk source areas for plant introductions

By D. Richardson, Wilfried Thuiller. 2007

163 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/492b303e17e050e9e690f56efe8f8e06ffa5d2d9

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Human‐mediated introductions of Australian acacias – a global experiment in biogeography (2011, background): “*Correspondence: David M. Richardson, Centre for Invasion Biology, Department of Botany & Zoology, Stellenbosch University, Matieland 7602, South Africa.”
Climate, climate change and range boundaries (2010, background): “…factors (species’ traits, human activities, propagule pressure, time since arrival) contribute to species’ distributions within their introduced ranges (e.g. Beerling et al., 1995; Peterson, 2003; Roura-Pascual et al., 2004; Thuiller et al., 2006; Richardson & Thuiller, 2007; Duncan et al., 2009).”
Biological Invasions in South Africa: An Overview (2020, unknown): “1.3; see also Richardson and Thuiller 2007).”
Prediction and validation of the potential global distribution of a problematic alien invasive species — the American bullfrog (2007, background): “For instance, climatic similarity between native and target regions is considered a basic requirement for successful invasions (Panetta & Mitchell, 1991; Mack, 1996; Welk et al ., 2002; Robertson et al ., 2004; Thuiller et al ., 2005; Richardson & Thuiller, 2007).”
The application of predictive modelling of species distribution to biodiversity conservation (2007, background): “Richardson & Thuiller (2007) use climate matching models to successfully identify species that may become potential invaders, and provide a technique to potentially design preventive measures for some species.”
Moving beyond static species distribution models in support of conservation biogeography (2010, background): “…land use change and other dynamic processes on biotic distributions (Pearson et al., 2004; Thomas et al., 2004) and to predict the risk of spread of invasive species, including pathogens, in new places (Peterson, 2003; Kueppers et al., 2005; Richardson & Thuiller, 2007; van Wilgen et al., 2009).”
Predicting distributions of invasive species (2013, background): “For instance, Richardson and Thuiller (2007) predicted the global distribution of seven South African biomes.”
Use of niche models in invasive species risk assessments (2011, background): “Evidence available regarding similarity of environmental conditions obtained from native and invaded areas suggests that a relatively reliable picture of the RN can be obtained in some cases from analyses of distributional data (Richardson and Thuiller 2007).”
Predicting potential distributions of invasive species: where to go from here? (2010, background): “…native range to extrapolate the found patterns into the adventive range (e.g. Beerling et al., 1995; Welk et al., 2002; Peterson et al., 2003; Richardson & Thuiller, 2007; Ibanez et al., 2009) or simply calibrated the model in the adventive range to predict the 2 Diversity and…”
Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia (2010, background): “These include the identification of high-risk source areas (Richardson & 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 &…”
The imbalance of nature: revisiting a Darwinian framework for invasion biology (2014, background): “…origin of an invader, it cannot explain why the identity of problematic invaders is typically shared among regions with similar abiotic conditions (Richardson & Thuiller, 2007), or why the best predictor of invasiveness in a region is whether a species is invasive elsewhere (D’Antonio et al.,…”
Effect of species rarity on the accuracy of species distribution models for reptiles and amphibians in southern California (2009, background): “…and land management (Ferrier et al ., 2002; Burgman et al ., 2005), to forecast the potential range of invasive species (Dark, 2004; Richardson & Thuiller, 2007), and to predict the impacts of climate change on species and ecosystems (Iverson & Prasad, 1998; Araújo et al ., 2006).”