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Predicting the potential invasive distributions of four alien plant species in North America

Published online by Cambridge University Press:  20 January 2017

A. Townsend Peterson ,
Monica Papes  and
Daniel A. Kluza
Monica Papes
Affiliation:
Natural History Museum and Biodiversity Research Center, The University of Kansas, Lawrence, KS 66045
Daniel A. Kluza
Affiliation:
Natural History Museum and Biodiversity Research Center, The University of Kansas, Lawrence, KS 66045
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Abstract

Ecological niche modeling, a new methodology for predicting the geographic course of species' invasions, was tested based on four invasive plant species (garlic mustard, sericea lespedeza, Russian olive, and hydrilla) in North America. Models of ecological niches and geographic distributions on native distributional areas (Europe and Asia) were highly statistically significant. Projections for each species to North America—effectively predictions of invasive potential—were highly coincident with areas of known invasions. Hence, in each case, the geographic invasive potential was well summarized in a predictive sense; this methodology holds promise for development of control and eradication strategies and for risk assessment for species' invasions.

Keywords

Hydrilla, Hydrilla verticillata (L.f.) Royle HYLLIRussian olive, Elaeagnus angustifolia L. ELGANsericea lespedeza, Lespedeza cuneata (Dum.-Cours.) G. Don LESCUgarlic mustard, Alliaria petiolata (Bieb) Cavara & Grande ALAPEInvasive speciesecological niche modelingGenetic Algorithm for Rule-set Predictionprediction
Type
Weed Biology
Information
Weed Science , Volume 51 , Issue 6 , December 2003 , pp. 863 - 868
Copyright
Copyright © Weed Science Society of America 

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References

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