Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico
Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species...
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doaj-837752d7e9aa467b95e3c6d270150a222020-11-24T21:18:30ZengHindawi LimitedJournal of Tropical Medicine1687-96861687-96942012-01-01201210.1155/2012/959101959101Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in MexicoPatricia Illoldi-Rangel0Chissa-Louise Rivaldi1Blake Sissel2Rebecca Trout Fryxell3Guadalupe Gordillo-Pérez4Angel Rodríguez-Moreno5Phillip Williamson6Griselda Montiel-Parra7Víctor Sánchez-Cordero8Sahotra Sarkar9Section of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USASection of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USASection of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USADepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USACentro Médico Nacional SXXI, Unidad de Investigación Médica de Enfermedades Infecciosas y Parasitarias, IMSS, Avenida Cuauhtémoc 330, Colonia Doctores 06725 México, DF, MexicoLaboratorio de Sistemas de Información Geográfica, Departamento de Zoología, Instituto de Biología, UNAM, Circuito Exterior, Apartado Postal 70-153, Coyoacán, 04510 México, DF, MexicoDepartment of Forensic and Investigative Genetics, University of North Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX 76107, USAColección Nacional de µcaros, Departamento de Zoología, Instituto de Biología, UNAM, Circuito Exterior, Apartado Postal 70-153, Coyoacán, 04510 México, DF, MexicoLaboratorio de Sistemas de Información Geográfica, Departamento de Zoología, Instituto de Biología, UNAM, Circuito Exterior, Apartado Postal 70-153, Coyoacán, 04510 México, DF, MexicoSection of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USASpecies distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast.http://dx.doi.org/10.1155/2012/959101 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patricia Illoldi-Rangel Chissa-Louise Rivaldi Blake Sissel Rebecca Trout Fryxell Guadalupe Gordillo-Pérez Angel Rodríguez-Moreno Phillip Williamson Griselda Montiel-Parra Víctor Sánchez-Cordero Sahotra Sarkar |
spellingShingle |
Patricia Illoldi-Rangel Chissa-Louise Rivaldi Blake Sissel Rebecca Trout Fryxell Guadalupe Gordillo-Pérez Angel Rodríguez-Moreno Phillip Williamson Griselda Montiel-Parra Víctor Sánchez-Cordero Sahotra Sarkar Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico Journal of Tropical Medicine |
author_facet |
Patricia Illoldi-Rangel Chissa-Louise Rivaldi Blake Sissel Rebecca Trout Fryxell Guadalupe Gordillo-Pérez Angel Rodríguez-Moreno Phillip Williamson Griselda Montiel-Parra Víctor Sánchez-Cordero Sahotra Sarkar |
author_sort |
Patricia Illoldi-Rangel |
title |
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_short |
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_full |
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_fullStr |
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_full_unstemmed |
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico |
title_sort |
species distribution models and ecological suitability analysis for potential tick vectors of lyme disease in mexico |
publisher |
Hindawi Limited |
series |
Journal of Tropical Medicine |
issn |
1687-9686 1687-9694 |
publishDate |
2012-01-01 |
description |
Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast. |
url |
http://dx.doi.org/10.1155/2012/959101 |
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