Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg.
Specific allometric equations are a key tool to quantify total and component aboveground biomass and carbon of tropical forests. The aim of this study was to fit allometric models to estimate aboveground biomass and structural components of Piscidia piscipula trees of semi-evergreen tropical forest...
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| Format: | Online |
| Sprog: | spa |
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Instituto de Ecología, A.C.
2022
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| Online adgang: | https://myb.ojs.inecol.mx/index.php/myb/article/view/2356 |
| _version_ | 1799769428042186752 |
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| author | Cuevas Cruz, Juan Carlos Aquino Ramírez, Martín Kú Chalé, Ramón de la Cruz Morales Sosa, Isidro Javier |
| author_facet | Cuevas Cruz, Juan Carlos Aquino Ramírez, Martín Kú Chalé, Ramón de la Cruz Morales Sosa, Isidro Javier |
| author_sort | Cuevas Cruz, Juan Carlos |
| collection | MYB |
| description | Specific allometric equations are a key tool to quantify total and component aboveground biomass and carbon of tropical forests. The aim of this study was to fit allometric models to estimate aboveground biomass and structural components of Piscidia piscipula trees of semi-evergreen tropical forest in Escarcega, Campeche, Mexico. Through a destructive sampling of 17 individuals of different diameter categories (5 to 55 cm), samples of the stem, branches, and twigs with leaves were obtained to determine their dry weight. We fitted two systems of nonlinear equations using tree diameter at breast height (Dn) and total height (AT) as predictor variables with the Generalized Method of Moments (GMM). The additivity property was ensured by establishing the total aboveground biomass as the sum of the estimates of the biomass of each structural component of the tree. The carbon concentration expressed as a percentage of the biomass was determined in each component. The system of allometric equations based on the model y=e[-b0+b1ln(Dn)+b2ln(AT)] showed the best fit statistics and explained more than 89% of the variability of the biomass of the components and the total for the tree. In P. piscipula, the highest proportion of biomass was concentrated firstly in the stem (60.4%), secondly in the branches (36.8%), and thirdly, in twigs with leaves (2.7%). The average carbon concentration was 49.9 ± 0.48 %. The allometric equations generated provide reliable estimates of biomass ensuring additivity between structural components of P. piscipula. |
| format | Online |
| id | oai:oai.myb.ojs.inecol.mx:article-2356 |
| institution | Madera y Bosques |
| language | spa |
| publishDate | 2022 |
| publisher | Instituto de Ecología, A.C. |
| record_format | ojs |
| spelling | oai:oai.myb.ojs.inecol.mx:article-23562023-03-07T01:39:07Z Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. Ecuaciones alométricas aditivas para estimar biomasa aérea y concentración de carbono de Piscidia piscipula (L.) Sarg. Cuevas Cruz, Juan Carlos Aquino Ramírez, Martín Kú Chalé, Ramón de la Cruz Morales Sosa, Isidro Javier tropical trees carbon biomass distribution jabin allometric models destructive sampling árboles tropicales carbono distribución de biomasa jabín modelos alométricos muestreo destructivo Specific allometric equations are a key tool to quantify total and component aboveground biomass and carbon of tropical forests. The aim of this study was to fit allometric models to estimate aboveground biomass and structural components of Piscidia piscipula trees of semi-evergreen tropical forest in Escarcega, Campeche, Mexico. Through a destructive sampling of 17 individuals of different diameter categories (5 to 55 cm), samples of the stem, branches, and twigs with leaves were obtained to determine their dry weight. We fitted two systems of nonlinear equations using tree diameter at breast height (Dn) and total height (AT) as predictor variables with the Generalized Method of Moments (GMM). The additivity property was ensured by establishing the total aboveground biomass as the sum of the estimates of the biomass of each structural component of the tree. The carbon concentration expressed as a percentage of the biomass was determined in each component. The system of allometric equations based on the model y=e[-b0+b1ln(Dn)+b2ln(AT)] showed the best fit statistics and explained more than 89% of the variability of the biomass of the components and the total for the tree. In P. piscipula, the highest proportion of biomass was concentrated firstly in the stem (60.4%), secondly in the branches (36.8%), and thirdly, in twigs with leaves (2.7%). The average carbon concentration was 49.9 ± 0.48 %. The allometric equations generated provide reliable estimates of biomass ensuring additivity between structural components of P. piscipula. Las ecuaciones alométricas específicas son una herramienta clave para estimar la biomasa aérea total y por componente y el carbono de los bosques tropicales. El objetivo de este estudio fue ajustar modelos alométricos para estimar la biomasa aérea y por componente estructural de árboles de Piscidia piscipula en una selva mediana subperennifolia de Escárcega, Campeche, México. A través de un muestreo destructivo de 17 individuos de distintas categorías diamétricas (5 cm a 55 cm) se obtuvieron muestras de fuste, ramas y ramillas con hojas para determinar su peso seco. Se ajustaron dos sistemas de ecuaciones no lineales utilizando al diámetro normal (Dn) y la altura total (AT) como variables predictoras con el método generalizado de momentos. La propiedad de aditividad fue asegurada al definir a la biomasa aérea total como la suma de las estimaciones de la biomasa de cada componente estructural del árbol. La concentración de carbono expresado como porcentaje de la biomasa fue determinada en cada componente. El sistema de ecuaciones alométricas basado en el modelo y=e [-b0+b1ln (Dn)+b2ln (AT)] mostró los mejores estadísticos de ajuste y explicó más de 89% de la variabilidad de la biomasa de los componentes y total del árbol. En P. piscipula, la mayor proporción de biomasa se concentró principalmente en el fuste (60.4%), luego en las ramas (36.8%) y finalmente las ramillas con hojas (2.7%). La concentración de carbono promedio fue de 49.9% ± 0.48%. Las ecuaciones alométricas generadas proporcionan estimaciones confiables de biomasa que garantizan la aditividad entre los componentes estructurales de P. piscipula. Instituto de Ecología, A.C. 2022-12-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo evaluado por pares application/pdf text/xml https://myb.ojs.inecol.mx/index.php/myb/article/view/2356 10.21829/myb.2022.2832356 Madera y Bosques; Vol. 28 No. 3 (2022): Autumn 2022; e2832356 Madera y Bosques; Vol. 28 Núm. 3 (2022): Otoño 2022; e2832356 2448-7597 1405-0471 spa https://myb.ojs.inecol.mx/index.php/myb/article/view/2356/2424 https://myb.ojs.inecol.mx/index.php/myb/article/view/2356/2447 10.21829/myb.2019.251880 10.21829/myb.2020.261956 http://creativecommons.org/licenses/by-nc-sa/4.0 |
| spellingShingle | Cuevas Cruz, Juan Carlos Aquino Ramírez, Martín Kú Chalé, Ramón de la Cruz Morales Sosa, Isidro Javier Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title | Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title_full | Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title_fullStr | Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title_full_unstemmed | Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title_short | Additive allometric equations to estimate aboveground biomass and carbon concentration of Piscidia piscipula (L.) Sarg. |
| title_sort | additive allometric equations to estimate aboveground biomass and carbon concentration of piscidia piscipula (l.) sarg. |
| url | https://myb.ojs.inecol.mx/index.php/myb/article/view/2356 |
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