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Ecol Appl ; 16(5): 1832-41, 2006 Oct.
Article in English | MEDLINE | ID: mdl-17069375

ABSTRACT

Modeling ecological niches of species is a promising approach for predicting the geographic potential of invasive species in new environments. Argentine ants (Linepithema humile) rank among the most successful invasive species: native to South America, they have invaded broad areas worldwide. Despite their widespread success, little is known about what makes an area susceptible--or not--to invasion. Here, we use a genetic algorithm approach to ecological niche modeling based on high-resolution remote-sensing data to examine the roles of niche similarity and difference in predicting invasions by this species. Our comparisons support a picture of general conservatism of the species' ecological characteristics, in spite of distinct geographic and community contexts.


Subject(s)
Ants/physiology , Ecosystem , Algorithms , Animals , Computer Simulation , Conservation of Natural Resources , Japan , Models, Biological , North America , Portugal , South America , Spain
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