Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico

AbstractThe mosquitoes distribution and the presence of arboviruses are determined by temperature, rainfall, geographic barriers, and other factors that determine the distribution of Culex spp. and can influence the human arboviral. The objective of this study was to identify potential spatial distr...

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Autores principales: Torres-Olave, María, Rojas-Villalobos, Hugo, Zesati, Gina, Alatorre-Cejudo, Luis
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Humanidades Universidad Nacional del Comahue 2015
Materias:
GIS
SIG
Acceso en línea:http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079
Aporte de:R de Universidad Nacional del Comahue Ver origen
id I22-R128-article-1079
record_format ojs
spelling I22-R128-article-10792021-09-19T16:39:53Z Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico Modelo biogeográfico de los mosquitos Culex spp. (Diptera: Culicidae) en México Torres-Olave, María Rojas-Villalobos, Hugo Zesati, Gina Alatorre-Cejudo, Luis GIS maximum entropy algorithm ecological modeling species distribution SIG algoritmo de máxima entropía modelaje ecológico distribución de mosquito genero Culexspp AbstractThe mosquitoes distribution and the presence of arboviruses are determined by temperature, rainfall, geographic barriers, and other factors that determine the distribution of Culex spp. and can influence the human arboviral. The objective of this study was to identify potential spatial distribution of Culex spp. The ecological niche modeling was performed using MaxEnt Ecological niche modeling was performed using MaxEnt, bioclimatic variables (WorldClim) used for this process are derived from the monthly values of temperature and precipitation to generate biologically significant variables (representing annual trends and limiting factors for the distribution of species. The resulting maps can be interpreted as relative suitability areas, these areas are presented on the east coast of Mexico, mainly in the states of Veracruz and Tabasco. The results show that Bio 2 (mean monthly temperature range), Bio 7 (annual range of temperature) and Bio 11 (mean temperature of the coldest quarter), determine the highest percentage range.Distribution modeling Culex spp. It is an approach to identify the most vulnerable areas in Mexico. It is necessary to strengthen and establish multidisciplinary programs for the prevention ofCulexspp transmitted diseases. La distribución de culícidos y la presencia de las arbovirosis están determinadas por temperatura, lluvia, barreras geográficas, entre otros factores que son determinantes en la distribución de Culexspp. y pueden influir en la transmisión de arbovirus al humano. El objetivo de este trabajo fue identificar distribución espacial potencial de Culexspp. El modelaje de nicho ecológico se realizó con MaxEnt, las variables bioclimáticas (WorldClim) utilizadas para dicho proceso se derivan de los valores mensuales de temperatura y precipitación con el fin de generar variables biológicamente significativas (representan tendencias anuales y factores limitantes para la distribución de las especies). La cartografía resultante puede interpretarse como áreas de idoneidad relativa, estas zonas se presentan en la costa Este de México, principalmente en los estados de Veracruz y Tabasco. Los resultados reflejan que Bio 2 (Rango de temperatura media mensual), Bio 7 (Rango anual de temperatura) y Bio 11 (Temperatura media del trimestre más frío), determinan en mayor porcentaje el área de distribución. El modelado de distribución para el Culexspp. es un acercamiento para identificar las zonas más vulnerables en México.Es necesario fortalecer y establecer programas multidisciplinarios para la prevención de enfermedades transmitidas por Culexspp. Facultad de Humanidades Universidad Nacional del Comahue 2015-12-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079 Boletin Geográfico; No. 37 (2015): Boletín Geográfico; 43-58 Boletín Geográfico; Núm. 37 (2015): Boletín Geográfico; 43-58 2313-903X 0326-1735 spa http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079/pdf_3 urn:nbn:de:bg.v0i37.1079.g1120 Derechos de autor 2015 Boletín Geográfico https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-128
container_title_str Repositorio de Revistas Electrónicas REVELE (UNComahue)
language Español
format Artículo revista
topic GIS
maximum entropy algorithm
ecological modeling
species distribution
SIG
algoritmo de máxima entropía
modelaje ecológico
distribución de mosquito genero Culexspp
spellingShingle GIS
maximum entropy algorithm
ecological modeling
species distribution
SIG
algoritmo de máxima entropía
modelaje ecológico
distribución de mosquito genero Culexspp
Torres-Olave, María
Rojas-Villalobos, Hugo
Zesati, Gina
Alatorre-Cejudo, Luis
Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
topic_facet GIS
maximum entropy algorithm
ecological modeling
species distribution
SIG
algoritmo de máxima entropía
modelaje ecológico
distribución de mosquito genero Culexspp
author Torres-Olave, María
Rojas-Villalobos, Hugo
Zesati, Gina
Alatorre-Cejudo, Luis
author_facet Torres-Olave, María
Rojas-Villalobos, Hugo
Zesati, Gina
Alatorre-Cejudo, Luis
author_sort Torres-Olave, María
title Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
title_short Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
title_full Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
title_fullStr Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
title_full_unstemmed Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico
title_sort biogeographical model for culex spp. mosquitoe (diptera: culicidae) in méxico
description AbstractThe mosquitoes distribution and the presence of arboviruses are determined by temperature, rainfall, geographic barriers, and other factors that determine the distribution of Culex spp. and can influence the human arboviral. The objective of this study was to identify potential spatial distribution of Culex spp. The ecological niche modeling was performed using MaxEnt Ecological niche modeling was performed using MaxEnt, bioclimatic variables (WorldClim) used for this process are derived from the monthly values of temperature and precipitation to generate biologically significant variables (representing annual trends and limiting factors for the distribution of species. The resulting maps can be interpreted as relative suitability areas, these areas are presented on the east coast of Mexico, mainly in the states of Veracruz and Tabasco. The results show that Bio 2 (mean monthly temperature range), Bio 7 (annual range of temperature) and Bio 11 (mean temperature of the coldest quarter), determine the highest percentage range.Distribution modeling Culex spp. It is an approach to identify the most vulnerable areas in Mexico. It is necessary to strengthen and establish multidisciplinary programs for the prevention ofCulexspp transmitted diseases.
publisher Facultad de Humanidades Universidad Nacional del Comahue
publishDate 2015
url http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079
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