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Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico
Knowing the distribution of species concerning biotic and abiotic conditions allows us to identify the possible responses of species to changes due to abiotic factors using the concept of the ecological niche and to identify the geographic distribution of important species subject to commercial expl...
Autores principales: | , , , , |
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Formato: | Online Artículo |
Lenguaje: | spa |
Publicado: |
Universidad Autónoma Chapingo
2020
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Materias: | |
Acceso en línea: | https://revistas.chapingo.mx/zonas_aridas/article/view/r.rchsza.2021.19.1 https://dx.doi.org/10.5154/r.rchsza.2021.19.1 |
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author | Hernández-Herrera, José Antonio Moreno-Reséndez, Alejandro Valenzuela-Núñez, Luis Manuel Flores-Hérnandez, Arnoldo Zamora Martinez, Marisela Cristina |
author_facet | Hernández-Herrera, José Antonio Moreno-Reséndez, Alejandro Valenzuela-Núñez, Luis Manuel Flores-Hérnandez, Arnoldo Zamora Martinez, Marisela Cristina |
author_sort | Hernández-Herrera, José Antonio |
collection | Revista Chapingo Serie Zonas Áridas |
description | Knowing the distribution of species concerning biotic and abiotic conditions allows us to identify the possible responses of species to changes due to abiotic factors using the concept of the ecological niche and to identify the geographic distribution of important species subject to commercial exploitation such as Euphorbia antisyphilitica Zucc. The current study aimed to identify bioclimatic variables that determine the distribution of E. antisyphilitica populations and to estimate the potential distribution in arid zones of Mexico using the methods Maxent and Bioclim. Bioclimatic data from areas of the presence of E. antisyphilitica were processed with Bioclim of Diva-Gis 7.5®, and with the maximum entropy method with Maxent® 3.4.1. Temperature and precipitation requirements were analyzed by comparing bioclimatic variables, predicting distribution modeling, and geographic output. Precipitation variables influence more than temperature variables on the distribution of E. antisyphilitica, in a precipitation range of 200 to 500 mm. Modeling and geographic output performed with Maxent had better quality than those carried out with Diva-Gis® Bioclim. The annual precipitation variable determines more the conditions for the distribution of E. antisyphilitica than temperature variables. |
format | Online Article |
id | oai_chapingo-zonasaridas-_article-423 |
institution | Universidad Autónoma Chapingo |
language | spa |
publishDate | 2020 |
publisher | Universidad Autónoma Chapingo |
record_format | ojs |
spelling | oai_chapingo-zonasaridas-_article-4232023-08-31T20:30:09Z Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico Distribución potencial de Euphorbia antisyphilitica Zucc. en México Hernández-Herrera, José Antonio Moreno-Reséndez, Alejandro Valenzuela-Núñez, Luis Manuel Flores-Hérnandez, Arnoldo Zamora Martinez, Marisela Cristina Candelilla nicho ecológico zonas áridas recurso forestal no maderable cera Maxent Bioclim Candelilla ecological niche arid areas non-timber forest resource wax Maxent Bioclim Knowing the distribution of species concerning biotic and abiotic conditions allows us to identify the possible responses of species to changes due to abiotic factors using the concept of the ecological niche and to identify the geographic distribution of important species subject to commercial exploitation such as Euphorbia antisyphilitica Zucc. The current study aimed to identify bioclimatic variables that determine the distribution of E. antisyphilitica populations and to estimate the potential distribution in arid zones of Mexico using the methods Maxent and Bioclim. Bioclimatic data from areas of the presence of E. antisyphilitica were processed with Bioclim of Diva-Gis 7.5®, and with the maximum entropy method with Maxent® 3.4.1. Temperature and precipitation requirements were analyzed by comparing bioclimatic variables, predicting distribution modeling, and geographic output. Precipitation variables influence more than temperature variables on the distribution of E. antisyphilitica, in a precipitation range of 200 to 500 mm. Modeling and geographic output performed with Maxent had better quality than those carried out with Diva-Gis® Bioclim. The annual precipitation variable determines more the conditions for the distribution of E. antisyphilitica than temperature variables. El conocimiento de la distribución de las especies en relación con las condiciones bióticas y abióticas permite conocer las posibles respuestas de las especies a los cambios, ubicar la presencia geográfica de especies de importancia comercial. Los objetivos fueron Identificar las variables bioclimáticas que determinan la distribución de poblaciones de E. antisyphilitica y estimar la distribución potencial de la especie en las zonas áridas usando dos métodos Maxent y Bioclim. Los datos de presencia fueron del inventario nacional de E. antisyphilitica y se usaron 19 capas climáticas de Worldclim con una resolución espacial de l km2 . Se procesaron con el método de máxima entropía además los requerimientos de temperatura y precipitación se analizaron con la comparación de variables bioclimáticas, la predicción de la modelación de la distribución y la salida geográfica u Las variables de precipitación influyen más que las de temperatura sobre la distribución de E. antisyphilitica, en un intervalo de precipitación de 200 a 500 mm. La modelación y salida geográfica usando BIoclim de Diva-Gis 7.5® y Maxent® -3.4.1. Las variables de precipitación contribuyeron con el 67.7 % y las variables de temperatura aportaron 32.4%, por lo tanto, en la distribución de E. antisyphilitica, donde la precipitación es el principal factor que inflluye en la presencia de la especie seguida de las variables de temperatura. Maxent es mejor modelo que Bioclim de Diva-Gis para determinar la superficie potencial que ocupa E. antisyphilitica y permite obtener imágenes de calidad con resolución mayor, esto representa una ventaja para estimar las áreas de distribución de poblaciones de candelilla. Universidad Autónoma Chapingo 2020-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.chapingo.mx/zonas_aridas/article/view/r.rchsza.2021.19.1 10.5154/r.rchsza.2021.19.1 Revista Chapingo Serie Zonas Áridas; Vol. 19 No. 2 (2020): July-December; 1-14 Revista Chapingo Serie Zonas Áridas; Vol. 19 Núm. 2 (2020): julio-diciembre; 1-14 2007-526X spa https://revistas.chapingo.mx/zonas_aridas/article/view/r.rchsza.2021.19.1/r.rchsza.2021.19.1 Derechos de autor 2020 Revista Chapingo Serie Zonas Áridas https://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Candelilla nicho ecológico zonas áridas recurso forestal no maderable cera Maxent Bioclim Candelilla ecological niche arid areas non-timber forest resource wax Maxent Bioclim Hernández-Herrera, José Antonio Moreno-Reséndez, Alejandro Valenzuela-Núñez, Luis Manuel Flores-Hérnandez, Arnoldo Zamora Martinez, Marisela Cristina Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title | Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title_alt | Distribución potencial de Euphorbia antisyphilitica Zucc. en México |
title_full | Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title_fullStr | Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title_full_unstemmed | Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title_short | Potential distribution of Euphorbia antisyphilitica Zucc. In Mexico |
title_sort | potential distribution of euphorbia antisyphilitica zucc. in mexico |
topic | Candelilla nicho ecológico zonas áridas recurso forestal no maderable cera Maxent Bioclim Candelilla ecological niche arid areas non-timber forest resource wax Maxent Bioclim |
topic_facet | Candelilla nicho ecológico zonas áridas recurso forestal no maderable cera Maxent Bioclim Candelilla ecological niche arid areas non-timber forest resource wax Maxent Bioclim |
url | https://revistas.chapingo.mx/zonas_aridas/article/view/r.rchsza.2021.19.1 https://dx.doi.org/10.5154/r.rchsza.2021.19.1 |
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