XML
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>I22-R128-article-1079</identifier><datestamp>2021-09-19T16:39:53Z</datestamp>
<dc:title xml:lang="en-US">Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in méxico</dc:title>
<dc:title xml:lang="es-ES">Modelo biogeográfico de los mosquitos Culex spp. (Diptera: Culicidae) en México</dc:title>
<dc:creator>Torres-Olave, María</dc:creator>
<dc:creator>Rojas-Villalobos, Hugo</dc:creator>
<dc:creator>Zesati, Gina</dc:creator>
<dc:creator>Alatorre-Cejudo, Luis</dc:creator>
<dc:subject xml:lang="en-US">GIS</dc:subject>
<dc:subject xml:lang="en-US">maximum entropy algorithm</dc:subject>
<dc:subject xml:lang="en-US">ecological modeling</dc:subject>
<dc:subject xml:lang="en-US">species distribution</dc:subject>
<dc:subject xml:lang="es-ES">SIG</dc:subject>
<dc:subject xml:lang="es-ES">algoritmo de máxima entropía</dc:subject>
<dc:subject xml:lang="es-ES">modelaje ecológico</dc:subject>
<dc:subject xml:lang="es-ES">distribución de mosquito genero Culexspp</dc:subject>
<dc:description xml:lang="en-US">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.</dc:description>
<dc:description xml:lang="es-ES">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.</dc:description>
<dc:publisher xml:lang="es-ES">Facultad de Humanidades Universidad Nacional del Comahue</dc:publisher>
<dc:date>2015-12-15</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079</dc:identifier>
<dc:source xml:lang="en-US">Boletin Geográfico; No. 37 (2015): Boletín Geográfico; 43-58</dc:source>
<dc:source xml:lang="es-ES">Boletín Geográfico; Núm. 37 (2015): Boletín Geográfico; 43-58</dc:source>
<dc:source>2313-903X</dc:source>
<dc:source>0326-1735</dc:source>
<dc:language>spa</dc:language>
<dc:relation>http://revele.uncoma.edu.ar/index.php/geografia/article/view/1079/pdf_3</dc:relation>
<dc:relation>urn:nbn:de:bg.v0i37.1079.g1120</dc:relation>
<dc:rights xml:lang="es-ES">Derechos de autor 2015 Boletín Geográfico</dc:rights>
<dc:rights xml:lang="es-ES">https://creativecommons.org/licenses/by-nc-nd/2.5/ar/</dc:rights>
</oai_dc:dc>
Datos convertidos
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"species distribution",
"SIG",
"algoritmo de m\u00e1xima entrop\u00eda",
"modelaje ecol\u00f3gico",
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"Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico"
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"author": [
"Torres-Olave, Mar\u00eda",
"Rojas-Villalobos, Hugo",
"Zesati, Gina",
"Alatorre-Cejudo, Luis"
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"author_sort": "Torres-Olave, Mar\u00eda",
"title": "Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico",
"title_short": "Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico",
"title_full": "Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico",
"title_fullStr": "Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico",
"title_full_unstemmed": "Biogeographical model for culex spp. Mosquitoe (diptera: culicidae) in m\u00e9xico",
"title_sort": "biogeographical model for culex spp. mosquitoe (diptera: culicidae) in m\u00e9xico",
"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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