MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO
The 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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional del Comahue;Facultad de Humanidades; Departamento de Geografía,
2015-12-01
|
| Series: | Boletín Geográfico |
| Subjects: | |
| Online Access: | http://170.210.83.53/htdoc/revele/index.php/geografia/article/view/1079/pdf_3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832572710601883648 |
|---|---|
| author | Maria Torres Olave Hugo Rojas Villalobos Gina Zesati Luis Bravo Peña Luis Alatorre Cejudo |
| author_facet | Maria Torres Olave Hugo Rojas Villalobos Gina Zesati Luis Bravo Peña Luis Alatorre Cejudo |
| author_sort | Maria Torres Olave |
| collection | DOAJ |
| description | The 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. |
| format | Article |
| id | doaj-art-b80ec1cd78d64e23b523131e4ff96422 |
| institution | Kabale University |
| issn | 0326-1735 2313-903X |
| language | English |
| publishDate | 2015-12-01 |
| publisher | Universidad Nacional del Comahue;Facultad de Humanidades; Departamento de Geografía, |
| record_format | Article |
| series | Boletín Geográfico |
| spelling | doaj-art-b80ec1cd78d64e23b523131e4ff964222025-02-02T08:43:28ZengUniversidad Nacional del Comahue;Facultad de Humanidades; Departamento de Geografía,Boletín Geográfico0326-17352313-903X2015-12-01374358MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICOMaria Torres Olave0Hugo Rojas Villalobos1Gina Zesati2Luis Bravo Peña3Luis Alatorre Cejudo4Universidad Autónoma de Ciudad Juárez Unidad Multidisciplinaria de la UACJ en CuauhtémocUniversidad Autónoma de Ciudad Juárez Unidad Multidisciplinaria de la UACJ en CuauhtémocUniversidad Autónoma de Ciudad Juárez Unidad Multidisciplinaria de la UACJ en CuauhtémocUniversidad Autónoma de Ciudad Juárez Unidad Multidisciplinaria de la UACJ en CuauhtémocUniversidad Autónoma de Ciudad Juárez Unidad Multidisciplinaria de la UACJ en CuauhtémocThe 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.http://170.210.83.53/htdoc/revele/index.php/geografia/article/view/1079/pdf_3GISMaximum entropy algorithmecological modellingspecies distribution |
| spellingShingle | Maria Torres Olave Hugo Rojas Villalobos Gina Zesati Luis Bravo Peña Luis Alatorre Cejudo MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO Boletín Geográfico GIS Maximum entropy algorithm ecological modelling species distribution |
| title | MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO |
| title_full | MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO |
| title_fullStr | MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO |
| title_full_unstemmed | MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO |
| title_short | MODELO BIOGEOGRÁFICO DE LOS MOSQUITOS CULEX SPP. (DIPTERA: CULICIDAE) EN MÉXICO |
| title_sort | modelo biogeografico de los mosquitos culex spp diptera culicidae en mexico |
| topic | GIS Maximum entropy algorithm ecological modelling species distribution |
| url | http://170.210.83.53/htdoc/revele/index.php/geografia/article/view/1079/pdf_3 |
| work_keys_str_mv | AT mariatorresolave modelobiogeograficodelosmosquitosculexsppdipteraculicidaeenmexico AT hugorojasvillalobos modelobiogeograficodelosmosquitosculexsppdipteraculicidaeenmexico AT ginazesati modelobiogeograficodelosmosquitosculexsppdipteraculicidaeenmexico AT luisbravopena modelobiogeograficodelosmosquitosculexsppdipteraculicidaeenmexico AT luisalatorrecejudo modelobiogeograficodelosmosquitosculexsppdipteraculicidaeenmexico |