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Modelos de biomasa aérea y subterránea de <i>Hevea brasilienses</i> y <i>Theobroma grandiflorum</i> en la Amazonía colombiana
dc.contributor.author | Andrade, Hernán J. | spa |
dc.contributor.author | Orjuela, Jose Alfredo | spa |
dc.contributor.author | Hernández Joven, Carlos | spa |
dc.date.accessioned | 2022-07-01 05:14:18 | |
dc.date.accessioned | 2023-09-19T21:10:36Z | |
dc.date.available | 2022-07-01 05:14:18 | |
dc.date.available | 2023-09-19T21:10:36Z | |
dc.date.issued | 2022-07-01 | |
dc.identifier.issn | 0120-0739 | |
dc.identifier.uri | http://test.repositoriodigital.com:8080/handle/123456789/44504 | |
dc.description.abstract | Los modelos de biomasa son herramientas clave para estimar carbono en agroecosistemas. Esta investigación fue desarrollada en Caquetá, Colombia, en plantaciones y sistemas agroforestales. Se seleccionaron 41 árboles de Hevea brasiliensis y 40 de Theobroma grandiflorum para estimar la biomasa aérea (Ba); y 19 y 12 árboles fueron excavados respectivamente para estimar biomasa subterránea (Bb). Se ajustaron los modelos con base en el coeficiente de determinación (R2), el R2 ajustado, y los criterios de información de Akaike y Bayesiano. Los modelos recomendados para Ba en H. brasiliensis y T. grandiflorum fueron Ln(Ba)=-2.99+2.72*Ln(DAP) y Ln(Ba)=-2.59+2.48*Ln(D30), respectivamente (Ba: kg.árbol-1; DAP: diámetro a la altura del pecho en cm; D30: diámetro del tronco a 30 cm de altura). Adicionalmente, se desarrollaron modelos con base en diámetro y altura, así como otros basados en el área de la copa. Estos modelos son un avance para mejorar las estimaciones de biomasa y carbono, alcanzando un Tier 2 (Nivel 2), en investigación y proyectos de mitigación. | spa |
dc.description.abstract | Biomass models are key tools for estimating carbon in agroecosystems. This research was conducted in Caquetá, Colombia, in plantations and agroforestry systems. A total of 41 trees of Hevea brasiliensis and 40 of Theobroma grandiflorum were sampled to estimate the above-ground biomass (Ab); and 19 and 12 trees, respectively, were excavated to estimate the below-ground biomass (Bb). The models were adjusted based on the determination coefficient (R2), the adjusted R2, and Akaike’s and the Bayesian information criteria. The recommended models for Ab in H. brasiliensis and T. grandiflorum were Ln(Ab)=-2.99+2.72*Ln(DBH) and Ln(Ab)=-2.59+2.48*Ln(D30), respectively (Ab: kg.tree-1; DBH: diameter at breast height in cm; D30: trunk diameter at a 30 cm height). Additionally, models based on diameter and height were developed, as well as others based on the crown area. These models constitute an advancement in improving estimations of biomass and carbon, thus reaching Tier 2 in research and mitigation projects. | eng |
dc.format.mimetype | application/pdf | spa |
dc.format.mimetype | text/xml | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Distrital Francisco José de Caldas | spa |
dc.rights | Colombia forestal - 2022 | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | spa |
dc.source | https://revistas.udistrital.edu.co/index.php/colfor/article/view/18464 | spa |
dc.subject | Carbon storage | eng |
dc.subject | Excavation | eng |
dc.subject | Mitigation | eng |
dc.subject | Roots | eng |
dc.subject | Agroforestry systems | eng |
dc.subject | Almacenamiento de carbono | spa |
dc.subject | Excavación | spa |
dc.subject | Mitigación | spa |
dc.subject | Raíces | spa |
dc.subject | Sistemas agroforestales | spa |
dc.title | Modelos de biomasa aérea y subterránea de <i>Hevea brasilienses</i> y <i>Theobroma grandiflorum</i> en la Amazonía colombiana | spa |
dc.type | Artículo de revista | spa |
dc.identifier.doi | 10.14483/2256201X.18464 | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
dc.type.local | Journal article | eng |
dc.title.translated | Above- and below-ground biomass models of Hevea brasilienses and Theobroma grandiflorum in the Colombian Amazon | eng |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
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dc.rights.creativecommons | Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0. | spa |
dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |
dc.relation.citationvolume | 25 | spa |
dc.relation.citationissue | 2 | spa |
dc.relation.citationedition | Núm. 2 , Año 2022 : Julio-diciembre | spa |
dc.relation.ispartofjournal | Colombia forestal | spa |
dc.identifier.eissn | 2256-201X | |
dc.identifier.url | https://doi.org/10.14483/2256201X.18464 | |
dc.relation.citationstartpage | 57 | |
dc.relation.citationendpage | 69 | |
dc.relation.bitstream | https://revistas.udistrital.edu.co/index.php/colfor/article/download/18464/18298 | |
dc.relation.bitstream | https://revistas.udistrital.edu.co/index.php/colfor/article/download/18464/18365 | |
dc.type.content | Text | spa |
dspace.entity.type | Publication | spa |
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