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Ecological Niche Models of Four Hard Tick Genera (Ixodidae) in Mexico.
Clarke-Crespo, Emilio; Moreno-Arzate, Claudia N; López-González, Carlos A.
Afiliación
  • Clarke-Crespo E; Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Centro de Bioingeniería, Queretaro 76130, Mexico.
  • Moreno-Arzate CN; Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Queretaro 76230, Mexico.
  • López-González CA; Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Animals (Basel) ; 10(4)2020 Apr 09.
Article en En | MEDLINE | ID: mdl-32283708
ABSTRACT
Ticks are vectors of a large number of pathogens of medical and veterinary importance, and in recent years, they have participated in the rise of multiple infectious outbreaks around the world. Studies have proposed that temperature and precipitation are the main variables that limit the geographical distribution of ticks. The analysis of environmental constraints with ecological niche modeling (ENM) techniques can improve our ability to identify suitable areas for emergence events. Algorithms used in this study showed different distributional patterns for each tick genera; the environmental suitability for Amblyomma includes warm and humid localities below 1000 m above the sea level, while Ixodes is mainly associated with ecosystems with high vegetation cover. Dermacentor and Rhipicephalus genus presented wider distribution patterns; the first includes species that are well adapted to resist desiccation, whereas the latter includes generalist species that are mostly associated with domestic hosts in Mexico. Ecological niche models have proven to be useful in estimating the geographic distribution of many taxa of ticks. Despite our limited knowledge of tick's diversity, ENM can improve our understanding of the dynamics of vector-borne diseases and can assist public health decision-making processes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies País/Región como asunto: Mexico Idioma: En Revista: Animals (Basel) Año: 2020 Tipo del documento: Article País de afiliación: México

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies País/Región como asunto: Mexico Idioma: En Revista: Animals (Basel) Año: 2020 Tipo del documento: Article País de afiliación: México