Ítem
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Roura i Pascual, Núria
Suárez, Andrew V. McNyset, Kristina Gómez López, Crisanto Pons Ferran, Pere Touyama, Yoshifumi Wild, Alexander L. Gascón, Ferran Peterson, A. Townsend |
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| 2006 | |
| 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 | |
| application/pdf | |
| 1051-0761 | |
| http://hdl.handle.net/10256/7521 | |
| eng | |
| Ecological Society of America (ESA) | |
| Articles publicats (D-CCAA) | |
| © Ecological Applications, 2006, vol. 16, núm. 5, p. 1832-1841 | |
| Tots els drets reservats. Copyright by the Ecological Society of America | |
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Formiga argentina -- Hàbits i conducta
Argentine ant -- Behavior Invasions biològiques Biological invasions Animals invasors Introduced organisms |
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| Niche Differentiation and Fine-Scale Projections for Argentine Ants Based on Remotely Sensed Data | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
