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Aplicación de diferentes tipos de datos en el modelado de la distribución de especies arbóreas en México

dc.contributor.authorGutiérrez, Erickspa
dc.contributor.authorTrejo, Irmaspa
dc.date.accessioned2023-01-01 00:00:00
dc.date.accessioned2023-09-19T21:10:41Z
dc.date.available2023-01-01 00:00:00
dc.date.available2023-09-19T21:10:41Z
dc.date.issued2022-01-01
dc.identifier.issn0120-0739
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/44518
dc.description.abstractEl objetivo de este estudio fue aplicar diferentes tipos de datos biológicos y climáticos en el modelado de la distribución de cinco especies arbóreas en México (Pinus ayacahuite, Pinus montezumae, Pinus oocarpa, Quercus calophylla y Quercus uxoris). Para el modelado se utilizaron dos tipos de capas climáticas (tipos de clima y variables bioclimáticas) y tres tipos de datos biológicos de colecta (datos de solo presencia, datos de abundancia, y datos de presencia/ausencia). Los resultados muestran que no hay un tipo de datos biológicos y climáticos que se ajuste a todas las especies. Este trabajo evidencia que el uso de un solo tipo de datos puede derivar en subestimación o sobrestimación en las áreas potenciales de distribución.spa
dc.description.abstractThe objective of this study was to apply different types of biological and climatic data in the distribution modeling of tree species in Mexico (Pinus ayacahuite, Pinus montezumae, Pinus oocarpa, Quercus calophylla, and Quercus uxoris). Two types of climate layers (climate types and bioclimatic variables) and three types of biological collection data (presence only data, abundance data, and presence/absence data) were used for modeling. The results show that there is no one type of biological and climatic data that fits all species. This study evidences that the use of a single type of data may result in underestimation or overestimation in potential distribution areas.eng
dc.format.mimetypeapplication/pdfspa
dc.format.mimetypetext/xmlspa
dc.language.isospaspa
dc.publisherUniversidad Distrital Francisco José de Caldasspa
dc.rightsColombia forestal - 2023spa
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/spa
dc.sourcehttps://revistas.udistrital.edu.co/index.php/colfor/article/view/19392spa
dc.subjectAltitudspa
dc.subjectclimaspa
dc.subjectencinosspa
dc.subjectpinosspa
dc.subjectprecipitaciónspa
dc.subjecttemperaturaspa
dc.subjectAltitudeeng
dc.subjectclimateeng
dc.subjectoakseng
dc.subjectpineseng
dc.subjectprecipitationeng
dc.subjecttemperatureeng
dc.titleAplicación de diferentes tipos de datos en el modelado de la distribución de especies arbóreas en Méxicospa
dc.typeArtículo de revistaspa
dc.identifier.doi10.14483/2256201X.19392
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.localJournal articleeng
dc.title.translatedApplication of Different Types of Data in the Distribution Modeling of Tree Species in Mexicoeng
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
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dc.rights.creativecommonsEsta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.spa
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dc.relation.citationeditionNúm. 1 , Año 2023 : Enero-juniospa
dc.relation.ispartofjournalColombia forestalspa
dc.identifier.eissn2256-201X
dc.identifier.urlhttps://doi.org/10.14483/2256201X.19392
dc.relation.citationstartpage48
dc.relation.citationendpage63
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