Historical, current and future distribution of Cedrela odorata in Mexico

Background and Aims: Tropical forests play an indispensable role to confront and reduce environmental degradation. The objective of this work was to determine, through ecological niche simulation models, the historical and current distribution of Cedrela odorata in Mexico.Methods: A base of 1747 pre...

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Hoofdauteurs: Hernández Ramos, Jonathan, Reynoso Santos, Roberto, Hernández Ramos, Adrian, García Cuevas, Xavier, Hernández-Máximo, Edgar, Cob Uicab, José Vidal, Sumano López, Dante
Formaat: Online
Taal:spa
Gepubliceerd in: Instituto de Ecología, A.C. 2018
Online toegang:https://abm.ojs.inecol.mx/index.php/abm/article/view/1305
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author Hernández Ramos, Jonathan
Reynoso Santos, Roberto
Hernández Ramos, Adrian
García Cuevas, Xavier
Hernández-Máximo, Edgar
Cob Uicab, José Vidal
Sumano López, Dante
author_facet Hernández Ramos, Jonathan
Reynoso Santos, Roberto
Hernández Ramos, Adrian
García Cuevas, Xavier
Hernández-Máximo, Edgar
Cob Uicab, José Vidal
Sumano López, Dante
author_sort Hernández Ramos, Jonathan
collection ABM
description Background and Aims: Tropical forests play an indispensable role to confront and reduce environmental degradation. The objective of this work was to determine, through ecological niche simulation models, the historical and current distribution of Cedrela odorata in Mexico.Methods: A base of 1747 presence data of C. odorata was used. For the modeling 19 climatic-environmental variables were used, as well as the layers of altitude, orientation, slope and soil type. The ecological niche modeling was carried out in the program MaxEnt, with 75% of the sample for training and the Logistic, Cumulative, Raw and Cloglog models. The validation was carried out with 25% of the sample and the Crossvalidate technique.Key results: The use of the Cloglog regression is the one that most adheres to the potential distribution for the species, otherwise using the Raw type modeling, since the projection of the potential area is very restrictive and compact, followed by the Cumulative regression and the Logistic regression, being these an intermediate point for the modeling of the historical distribution of C. odorata in Mexico.Conclusions: The historical distribution obtained from this model showed that the species has very high values of probability in the southern part of the Yucatán Península, north and south of Chiapas and the coastal plain of the Gulf in the Veracruz state with respect to the current distribution reported. This suggests a reduction in the distribution of the species in the country.
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spelling oai:oai.abm.ojs.inecol.mx:article-13052022-11-17T22:46:23Z Historical, current and future distribution of Cedrela odorata in Mexico Distribución histórica, actual y futura de Cedrela odorata en México Hernández Ramos, Jonathan Reynoso Santos, Roberto Hernández Ramos, Adrian García Cuevas, Xavier Hernández-Máximo, Edgar Cob Uicab, José Vidal Sumano López, Dante ecological niche forest management MaxEnt tropical forests bosques tropicales manejo forestal MaxEnt nicho ecológico Background and Aims: Tropical forests play an indispensable role to confront and reduce environmental degradation. The objective of this work was to determine, through ecological niche simulation models, the historical and current distribution of Cedrela odorata in Mexico.Methods: A base of 1747 presence data of C. odorata was used. For the modeling 19 climatic-environmental variables were used, as well as the layers of altitude, orientation, slope and soil type. The ecological niche modeling was carried out in the program MaxEnt, with 75% of the sample for training and the Logistic, Cumulative, Raw and Cloglog models. The validation was carried out with 25% of the sample and the Crossvalidate technique.Key results: The use of the Cloglog regression is the one that most adheres to the potential distribution for the species, otherwise using the Raw type modeling, since the projection of the potential area is very restrictive and compact, followed by the Cumulative regression and the Logistic regression, being these an intermediate point for the modeling of the historical distribution of C. odorata in Mexico.Conclusions: The historical distribution obtained from this model showed that the species has very high values of probability in the southern part of the Yucatán Península, north and south of Chiapas and the coastal plain of the Gulf in the Veracruz state with respect to the current distribution reported. This suggests a reduction in the distribution of the species in the country. Antecedentes y Objetivos: Los bosques tropicales juegan un papel indispensable para enfrentar y reducir la degradación ambiental. El objetivo de este trabajo fue determinar, mediante modelos de simulación de nicho ecológico, la distribución histórica y actual de Cedrela odorata en México.Métodos: Se empleó una base de 1747 datos de presencia de C. odorata. Para la modelación se emplearon 19 variables climato-ambientales y las capas de altitud, orientación, pendiente y tipo de suelos. La modelación de nicho ecológico se realizó en el programa MaxEnt con 75% de la muestra para el entrenamiento y los modelos Logistic, Cumulative, Raw y Cloglog. La validación se realizó con 25% de la muestra y la técnica Crossvalidate.Resultados clave: El empleo de la regresión Cloglog es la que más se apega a la distribución potencial para la especie, caso contrario al emplear la modelación de tipo Raw, ya que la proyección del área potencial es muy restrictiva y compacta, seguido de la regresión Cumulative y la regresión Logistic, siendo estas un punto intermedio para la modelación de la distribución histórica de C. odorata en México.Conclusiones: La distribución histórica obtenida a partir de este modelo mostró que la especie tiene una alta probabilidad de distribuirse en la parte sur de la Península de Yucatán, norte y sur de Chiapas, y la llanura costera del Golfo en el estado de Veracruz con respecto al área actual reportada. Esto sugiere una reducción del nicho ecológico de la especie en el país. Instituto de Ecología, A.C. 2018-05-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion artículo evaluado por pares application/pdf text/html https://abm.ojs.inecol.mx/index.php/abm/article/view/1305 10.21829/abm124.2018.1305 Acta Botanica Mexicana; No. 124 (2018); 117-134 Acta Botanica Mexicana; Núm. 124 (2018); 117-134 2448-7589 0187-7151 spa https://abm.ojs.inecol.mx/index.php/abm/article/view/1305/pdf_1 https://abm.ojs.inecol.mx/index.php/abm/article/view/1305/html Derechos de autor 2018 Acta Botanica Mexicana https://creativecommons.org/licenses/by-nc/4.0
spellingShingle Hernández Ramos, Jonathan
Reynoso Santos, Roberto
Hernández Ramos, Adrian
García Cuevas, Xavier
Hernández-Máximo, Edgar
Cob Uicab, José Vidal
Sumano López, Dante
Historical, current and future distribution of Cedrela odorata in Mexico
title Historical, current and future distribution of Cedrela odorata in Mexico
title_full Historical, current and future distribution of Cedrela odorata in Mexico
title_fullStr Historical, current and future distribution of Cedrela odorata in Mexico
title_full_unstemmed Historical, current and future distribution of Cedrela odorata in Mexico
title_short Historical, current and future distribution of Cedrela odorata in Mexico
title_sort historical, current and future distribution of cedrela odorata in mexico
url https://abm.ojs.inecol.mx/index.php/abm/article/view/1305
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