Predicting species invasions using ecological niche modeling
By A. Townsend Peterson, D. Vieglais. 2001
127 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/11b07fdd7030863367c54a68ffd9bc0f07f80075
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- A. Townsend Peterson
- E. Martínez‐Meyer
- R. P. Anderson
- Jorge Soberón
- Wilfried Thuiller
- Monica Papes
- Miguel B. Araújo
- A. Jiménez‐Valverde
Citations in the corpus
- Temperature‐dependent interactions explain unexpected responses to environmental warming in communities of competitors (2004, background): “Sutherst, Maywald & Skarratt 1995; Eaton & Scheller 1996; Iverson & Prasad 1998; Peterson & Vieglais 2001; Peterson 2001; Peterson et al . 2002).”
- Modeling species’ geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador (2004, background): “Chen and Peterson (2000), Peterson and Vieglais (2001), and Anderson et al. (2002a) provide general explanations of the GARP modeling process and interpretation of potential distributions; see Stockwell and Noble (1992) and Stockwell and Peters (1999) for technical details.”
- Ecological niche differentiation in the Aphelocoma jays: a phylogenetic perspective (2003, methodology): “GARP’s predictive abilities have been tested and proven under diverse circumstances (Peterson & Cohoon, 1999; Peterson, Soberon & Sanchez-Cordero, 1999; Peterson & Vieglais, 2001; Anderson, Gomez & Peterson, 2002a; Anderson, Laverde & Peterson, 2002b; Feria & Peterson, 2002; Peterson et al., 2002b”
- Predicting invasions of North American basses in Japan using native range data and a genetic algorithm (2004, background): “This step is key to predicting species’ invasions, as multiple coverage sets can be included for visualization of areas fitting the model conditions ( Peterson and Vieglais 2001 ).”
- SEASONAL NICHES OF NEARCTIC-NEOTROPICAL MIGRATORY BIRDS: IMPLICATIONS FOR THE EVOLUTION OF MIGRATION (2004, background): “…predictability regarding many complex phenomena of biodiversity (Pane a and Dodd 1987; Huntley et al. 1989, 1995; Richardson and McMahon 1992; Sutherst et al. 1999; Hoff mann 2001; Peterson and Vieglais 2001; Anderson et al. 2002; Peterson et al. 2002b, c; Peterson 2003; Peterson and Kluza 2003).”
- Allee Effects, Propagule Pressure and the Probability of Establishment: Risk Analysis for Biological Invasions (2006, methodology): “Additionally, the combination of non-parametric techniques such as genetic algorithms (Peterson and Vieglais 2001) and neural nets (Lusk et al. 2002) and developments in classical statistical methods like autologistic regression (Augustin et al. 1996) provide increasingly robust tools to identify…”
- Modeled climate change effects on distributions of Canadian butterfly species (2004, methodology): “Previous tests of the predictive ability of this modeling technique for diverse biodiversity phenomena in various regions have been published elsewhere (Peterson and Cohoon 1999; Peterson 2001; Peterson and Vieglais 2001; Peterson et al. 2002a, 2002c, 2002d; Stockwell and Peterson 2002a, 2002b; Ande”
- Ecological niches and potential geographical distributions of Mediterranean fruit fly (Ceratitis capitata) and Natal fruit fly (Ceratitis rosa) (2007, background): “Several avenues of research have demonstrated accurate predictions of invasive species’ potential distributions (Peterson & Vieglais, 2001; Welk et al., 2002; Peterson, 2003; Peterson & Robins, 2003; Peterson et al., 2003a,b; Morrison et al., 2004; Thuiller et al., 2005).”
- Predicting the potential invasive distributions of four alien plant species in North America (2003, methodology): “Natural History Museum and Biodiversity Research Center, The University of Kansas, Lawrence, KS 66045; town@ku.edu Monica Papes Daniel A. Kluza Natural History Museum and Biodiversity Research Center, The University of Kansas, Lawrence, KS 66045 Ecological niche modeling, a new methodology for predi”
- Future projections for Mexican faunas under global climate change scenarios (2002, background): “More generally, these approaches to modelling distributional change caused by global climate change can be used to produce synthetic models of the combined effects of climate change and other scenarios (for example, species' invasions”
- Ecological niches as stable distributional constraints on mammal species, with implications for Pleistocene extinctions and climate change projections for biodiversity (2004, background): “…(overprediction) errors may in some cases be reduced by the inclusion of additional ecological dimensions or may require consideration of historical factors that lead to the absence of species from habitable areas (Peterson et al ., 1999; Peterson & Vieglais, 2001; Peterson, 2004 (in press)).”
- Conservatism of ecological niche characteristics in North American plant species over the Pleistocene‐to‐Recent transition (2006, unknown): “…ecological characteristics (Panetta & Dodd, 1987; Honig et al., 1992; Higgins et al., 1999; Sutherst et al., 1999; Skov, 2000; Hoffmann, 2001; Peterson & Vieglais, 2001; Papes & Peterson, 2003; Peterson et al., 2003a,b; Peterson & Robins, 2003; Iguchi et al., 2004) suggests that the…”
- Uses and requirements of ecological niche models and related distributional models (2006, background): “…al. 1992; Iguchi et al. 2004; Panetta and Dodd 1987; Papes and Peterson 2003; Peterson 2003a; Peterson et al. 2003a; Peterson and Robins 2003; Peterson et al. 2003b; Peterson and Vieglais 2001; Richardson and McMahon 1992; Scott and Panetta 1993; Skov 2000; Sutherst et al. 1999; Zalba et al. 2000).”