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Niche differentiation and fine-scale projections for Argentine ants based on remotely sensed data

by Wild, Alexander L. , Gascon, Ferran , Touyama, Yoshifumi , Gómez, Crisanto , Suarez, Andrew V. , Peterson, A. Townsend , Roura-Pascual, Núria , McNyset, Kristina , Pons, Pere

in Algorithms / Animals / Animals invasors / Ants / Ants - physiology / Argentine ant / Behavior / Biological invasions / Computer Simulation / Conservation of Natural Resources / ecological differentiation / Ecological genetics / Ecological invasion / Ecological modeling / ecological niche / Ecological niches / Ecoregions / Ecosystem / Formicidae / Formiga argentina / Genetic Algorithm for Rule-set Prediction / Genetic Algorithm for Rule-set Prediction (GARP) / genetic algorithms / habitat preferences / habitats / Hàbits i conducta / Iberian Peninsula / Insect ecology / Introduced organisms / Invasions biològiques / invasive species / invasive spread / Japan / landscapes / Linepithema humile / Modeling / Models, Biological / moderate resolution imaging spectroradiometer (MODIS) / North America / physiology / Population ecology / Portugal / prediction / remote sensing / South America / Spain / Species

2006

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Niche differentiation and fine-scale projections for Argentine ants based on remotely sensed data

by Wild, Alexander L. , Gascon, Ferran , Touyama, Yoshifumi , Gómez, Crisanto , Suarez, Andrew V. , Peterson, A. Townsend , Roura-Pascual, Núria , McNyset, Kristina , Pons, Pere

2006

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Niche differentiation and fine-scale projections for Argentine ants based on remotely sensed data

by Wild, Alexander L. , Gascon, Ferran , Touyama, Yoshifumi , Gómez, Crisanto , Suarez, Andrew V. , Peterson, A. Townsend , Roura-Pascual, Núria , McNyset, Kristina , Pons, Pere

2006

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Journal Article

Niche differentiation and fine-scale projections for Argentine ants based on remotely sensed data

Wild, Alexander L.,

Gascon, Ferran,

Touyama, Yoshifumi,

Gómez, Crisanto,

Suarez, Andrew V.,

Peterson, A. Townsend,

Roura-Pascual, Núria,

McNyset, Kristina,

Pons, Pere

2006

Overview

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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Publisher

Ecological Society of America,Ecological Society of America (ESA)

Subject

/ Animals

/ Ants