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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Main Authors: 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
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Journal of Tropical Medicine
Online Access:http://dx.doi.org/10.1155/2012/959101
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spelling 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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