Assessment of invasive potential of Homalodisca coagulata in western North America and south America

The potential of Homalodisca coagulata to invade South America is a question of economic importance, given its potential impact as a disease vector for several crops. We developed ecological niche models for the species on its native geographic distribution in the southeastern United States; we tested the predictivity of the models both on the native distributional area and via projections to California, where the species has long been present as an invasive species. In both cases, tests indicated high statistical significance of predictions. Projection of models to South America indicated little possibility of invasion of southeastern Brazil, where citrus diseases were of concern. However, all models agree in predict-ing great risk of establishment in the wine-growing regions of northern Argentina and extreme southern Brazil; great precaution is thus to be recommended when any movements of bio-materials are made from infected areas to this region.

[1]  J. Grinnell Field Tests of Theories Concerning Distributional Control , 1917, The American Naturalist.

[2]  David R. B. Stockwell,et al.  Induction of sets of rules from animal distribution data: a robust and informative method of data analysis , 1992 .

[3]  David R. B. Stockwell,et al.  Genetic Algorithms II , 1999 .

[4]  A. Peterson,et al.  Sensitivity of distributional prediction algorithms to geographic data completeness , 1999 .

[5]  David R. B. Stockwell,et al.  The GARP modelling system: problems and solutions to automated spatial prediction , 1999, Int. J. Geogr. Inf. Sci..

[6]  Alan H. Fielding,et al.  Machine Learning Methods for Ecological Applications , 2012, Springer US.

[7]  V. Sánchez‐Cordero,et al.  Conservatism of ecological niches in evolutionary time , 1999, Science.

[8]  A. Peterson,et al.  Geographic analysis of conservation priority: endemic birds and mammals in Veracruz, Mexico , 2000 .

[9]  A. Peterson,et al.  Predicting species invasions using ecological niche modeling , 2001 .

[10]  J. Nichols,et al.  Population dynamics of Microtus pennsylvanicus in corridor-linked patches , 2001 .

[11]  A. Peterson,et al.  Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem , 2001 .

[12]  A. Peterson,et al.  Effects of global climate change on geographic distributions of Mexican Cracidae , 2001 .

[13]  A. Peterson,et al.  PREDICTING SPECIES' GEOGRAPHIC DISTRIBUTIONS BASED ON ECOLOGICAL NICHE MODELING , 2001 .

[14]  David R. B. Stockwell,et al.  Effects of sample size on accuracy of species distribution models , 2002 .

[15]  Robert P. Anderson,et al.  Geographical distributions of spiny pocket mice in South America: insights from predictive models , 2002 .

[16]  David R. B. Stockwell,et al.  Future projections for Mexican faunas under global climate change scenarios , 2002, Nature.

[17]  Robert P. Anderson,et al.  Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice , 2002 .

[18]  Robert P. Anderson,et al.  Evaluating predictive models of species’ distributions: criteria for selecting optimal models , 2003 .

[19]  A. Peterson,et al.  Preliminary distributional analysis of US endangered bird species , 2000, Biodiversity & Conservation.