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Niche differentiation and fine-scale regional projections for Argentine ants based on remotely-sensed data
Roura-Pascual, Núria Suarez, Andrew V. McNyset, Kristina M. Gómez, Crisanto Pons, Pere Touyama, Yoshifumi Wild, Alexander L. Gascon, Ferran Peterson, A. Townsend
Roura-Pascual, Núria
Suarez, Andrew V.
McNyset, Kristina M.
Gómez, Crisanto
Pons, Pere
Touyama, Yoshifumi
Wild, Alexander L.
Gascon, Ferran
Peterson, A. Townsend
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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.
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Date
2006-10-01
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Ecological Society of America
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Keywords
biological invasions, ecological differentiation, ecological niche, Genetic Algorithm for Rule-set Prediction (GARP), Iberian Peninsula, invasive spread, Japan, Linepithema humile, moderate resolution imaging spectroradiometer (MODIS), North America, remote sensing, South America
Citation
Roura-Pascual, Núria et al. (2006). "Niche differentiation and fine-scale regional projections for Argentine ants based on remotely-sensed data." Ecological Applications, 16(5):1832-1841. http://dx.doi.org/10.1890/1051-0761(2006)016[1832:NDAFPF]2.0.CO;2