Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem

By Townsend Peterson, D. Vieglais, On. 2001

750 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/45b62eef65c21715faac37b119bae14296312933

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Niche differentiation in Mexican birds: using point occurrences to detect ecological innovation (2003, methodology): “…biodiversity informatics and quantitative geography have found that conservatism appears to be a dominant theme in birds, mammals, and butterflies in southern Mexico (Peterson et al. 1999) and elsewhere (Peterson & Vieglais 2001; Anderson et al. 2002; Iguchi et al. 2003; Papes & Peterson 2003).”
Modelling local and long‐distance dispersal of invasive emerald ash borer Agrilus planipennis (Coleoptera) in North America (2006, background): “Peterson and Vieglais (2001) utilized this approach to determine the possible range of Asian longhorned beetles in North America.”
Prediction and validation of the potential global distribution of a problematic alien invasive species — the American bullfrog (2007, background): “It clearly has considerable potential for use in invasion ecology (Peterson & Vieglais, 2001; Thuiller et al ., 2006).”
Predicting the Potential Worldwide Distribution of the Red Palm Weevil Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae) using Ecological Niche Modeling (2012, background): “…and the estimate evaluated for predictive ability, the niche model can then be projected onto other regions to identify areas matching inhabited areas that may represent potentially new areas of invasion (Peterson 2003; Peterson & Vieglais 2001; Sutherst & Maywald 2005; Fiaboe et al. 2006).”
Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models (2009, background): “…and evolutionary theory (Peterson et al., 1999; Anderson et al., 2002; Graham et al., 2004b), to test the invasion potential of species in novel areas (Peterson & Vieglais, 2001; Estrada-Peña et al., 2007) and to predict the effects of climate change on species distributions (Thuiller, 2004).”
Climate change increases the risk of invasion by the Yellow-legged hornet (2013, background): “…ecological niche modelling are widely used even for invasive taxa (Chen et al., 2007; Peterson, 2003; Ficetola et al., 2007; Peterson et al., 2003; Peterson and Vieglais, 2001; Roura-Pascual et al., 2009; Thuiller et al., 2005a) and can be useful for invasion risk assessment (Jiménez-Valverde et…”
Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses (2007, background): “Whereas recent work has demonstrated niche conservatism in several groups (Peterson & Vieglais, 2001; Martı́nez-Meyer et al., 2004; Kozak & Wiens, 2006; Martı́nez-Meyer & Peterson, 2006), it is not known whether this assumption holds true for most organisms.”
Home away from home — objective mapping of high‐risk source areas for plant introductions (2007, background): “It clearly has considerable potential for use in invasion ecology (Peterson & Vieglais, 2001).”
Predicting the Distribution of the Amphibian Pathogen Batrachochytrium dendrobatidis in the New World 1 (2005, background): “One of the applications of ecological niche modeling is predicting ecologically suitable areas for the establishment of invasive species (Zalba et al. 2000, Peterson & Vieglais 2001, Peterson 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…”
Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice (2002, background): “…distributions (Peterson and Cohoon 1999, Peterson et al. 1999, Chen and Peterson 2000, Godown and Peterson 2000, Sánchez- Cordero and Martínez-Meyer 2000, Peterson 2001, Peterson and Vieglais 2001, Peterson et al. 2001, Anderson et al. 2002, Stockwell and Peterson 2002, Peterson et al. 2002).”
The data void in modeling current and future distributions of tropical species (2011, methodology): “One popular technique for investigating species’ responses to climate change is species distribution modeling or SDM (Guisan & Zimmermann, 2000; Peterson & Vieglais, 2001; Elith et al., 2006; Elith & Leathwick, 2009).”