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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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Autores principales: Illoldi-Rangel, Patricia, Rivaldi, Chissa-Louise, Sissel, Blake, Trout Fryxell, Rebecca, Gordillo-Pérez, Guadalupe, Rodríguez-Moreno, Angel, Williamson, Phillip, Montiel-Parra, Griselda, Sánchez-Cordero, Víctor, Sarkar, Sahotra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307011/
https://www.ncbi.nlm.nih.gov/pubmed/22518171
http://dx.doi.org/10.1155/2012/959101
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author Illoldi-Rangel, Patricia
Rivaldi, Chissa-Louise
Sissel, Blake
Trout Fryxell, Rebecca
Gordillo-Pérez, Guadalupe
Rodríguez-Moreno, Angel
Williamson, Phillip
Montiel-Parra, Griselda
Sánchez-Cordero, Víctor
Sarkar, Sahotra
author_facet Illoldi-Rangel, Patricia
Rivaldi, Chissa-Louise
Sissel, Blake
Trout Fryxell, Rebecca
Gordillo-Pérez, Guadalupe
Rodríguez-Moreno, Angel
Williamson, Phillip
Montiel-Parra, Griselda
Sánchez-Cordero, Víctor
Sarkar, Sahotra
author_sort Illoldi-Rangel, Patricia
collection PubMed
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.
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spelling pubmed-33070112012-04-19 Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico Illoldi-Rangel, Patricia Rivaldi, Chissa-Louise Sissel, Blake Trout Fryxell, Rebecca Gordillo-Pérez, Guadalupe Rodríguez-Moreno, Angel Williamson, Phillip Montiel-Parra, Griselda Sánchez-Cordero, Víctor Sarkar, Sahotra J Trop Med Research Article 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. Hindawi Publishing Corporation 2012 2012-02-14 /pmc/articles/PMC3307011/ /pubmed/22518171 http://dx.doi.org/10.1155/2012/959101 Text en Copyright © 2012 Patricia Illoldi-Rangel et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Illoldi-Rangel, Patricia
Rivaldi, Chissa-Louise
Sissel, Blake
Trout Fryxell, Rebecca
Gordillo-Pérez, Guadalupe
Rodríguez-Moreno, Angel
Williamson, Phillip
Montiel-Parra, Griselda
Sánchez-Cordero, Víctor
Sarkar, Sahotra
Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307011/
https://www.ncbi.nlm.nih.gov/pubmed/22518171
http://dx.doi.org/10.1155/2012/959101
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