Ecuación de volumen de la teca (Tectona grandis L.F.) en la plantación forestal del Fundo Génova, Chanchamayo
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Authors
Quispe Ortiz, Adolfo Armando
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Abstract
La presente investigación se enfoca a desarrollar un modelo matemático para una plantación forestal de Teca (Tectona grandis L.f.), ubicado en la provincia de Chanchamayo, Junín. El objetivo es estimar con precisión el volumen de árboles en pie de Teca (Tectona grandis L.f.) de la plantación forestal del Fundo “Génova” del IRD- Selva de la UNALM. El análisis de los datos se llevó a cabo utilizando el programa estadístico R, a fin de evaluar la estructura y la dinámica de la plantación. La secuencia metodología desarrollada es su adaptabilidad para aplicarse a otras plantaciones de Teca u otras especies forestales en diferentes regiones. Además, el enfoque sistemático desarrollado no se limita solo a la estimación de volumen, sino que puede aplicarse para seleccionar modelos matemáticos en otros aspectos forestales como crecimiento, biomasa, entre otros. Para evaluar los modelos matemáticos, se consideran los criterios estadísticos como: coeficiente de determinación (R²), prueba de Fisher y t-Student, y análisis de residuos para verificar la homocedasticidad. De esta manera, se seleccionó el mejor modelo que se adapte a las variables medidas, para realizar una estimación más precisa del volumen de madera comercial. De las 10 ecuaciones seleccionadas al principio, solo 2 ecuaciones cumplían con los parámetros establecidos, de donde se concluyó que el mejor modelo es: V= -0,720903 + 0,00076791dap2 + 0,06173408hf. El resultado final proporciona una herramienta valiosa para la gestión forestal y la toma de decisión sobre plantación forestal del fundo “Génova”.
The present research focuses on developing a mathematical model for a teak (Tectona grandis L.f.) forest plantation located in the province of Chanchamayo, Junín. The objective is to accurately estimate the standing volume of teak trees (Tectona grandis L.f.) in the forest plantation of Fundo "Genova" of the IRD-Selva of the UNALM. Data analysis was carried out using the R statistical software, in order to assess the structure and dynamics of the plantation. The methodological sequence developed is adaptable and can be applied to other teak plantations or forest species in different regions. Furthermore, the systematic approach is not limited to volume estimation but can also be used for selecting mathematical models in other forestry aspects such as growth, biomass, among others. To evaluate the mathematical models, statistical criteria were considered, including the coefficient of determination (R²), Fisher’s F test, Student’s t-test, and residual analysis to verify homoscedasticity. Based on these criteria, the best-fitting model for the measured variables was selected to achieve a more accurate estimation of commercial wood volume. Out of the ten initial equations, only two met the established parameters, and the following model was selected as the most appropriate: V = -0.720903 + 0.00076791dap² + 0.06173408hf. The final result provides a valuable tool for forest management and decision-making regarding the Fundo "Génova" forest plantation.
The present research focuses on developing a mathematical model for a teak (Tectona grandis L.f.) forest plantation located in the province of Chanchamayo, Junín. The objective is to accurately estimate the standing volume of teak trees (Tectona grandis L.f.) in the forest plantation of Fundo "Genova" of the IRD-Selva of the UNALM. Data analysis was carried out using the R statistical software, in order to assess the structure and dynamics of the plantation. The methodological sequence developed is adaptable and can be applied to other teak plantations or forest species in different regions. Furthermore, the systematic approach is not limited to volume estimation but can also be used for selecting mathematical models in other forestry aspects such as growth, biomass, among others. To evaluate the mathematical models, statistical criteria were considered, including the coefficient of determination (R²), Fisher’s F test, Student’s t-test, and residual analysis to verify homoscedasticity. Based on these criteria, the best-fitting model for the measured variables was selected to achieve a more accurate estimation of commercial wood volume. Out of the ten initial equations, only two met the established parameters, and the following model was selected as the most appropriate: V = -0.720903 + 0.00076791dap² + 0.06173408hf. The final result provides a valuable tool for forest management and decision-making regarding the Fundo "Génova" forest plantation.
Description
Universidad Nacional Agraria La Molina. Facultad de Ciencias Forestales. Departamento Académico de Manejo Forestal
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Date
2025
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