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3 resultados encontrados para: AUTOR: Corral Rivas, José Javier
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1.
Artículo
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Resumen en: Inglés |
Resumen en inglés

This paper presents new equations for estimating above-ground biomass (AGB) and biomass components of seventeen forest species in the temperate forests of northwestern Mexico. A data set corresponding to 1336 destructively sampled oak and pine trees was used to fit the models. The generalized method of moments was used to simultaneously fit systems of equations for biomass components and AGB, to ensure additivity. In addition, the carbon content of each tree component was calculated by the dry combustion method, in a TOC analyser. The results of crossvalidation indicated that the fitted equations accounted for on average 91%, 82%, 83% and 76% of the observed variance in stem wood and stem bark, branch and foliage biomass, respectively, whereas the total AGB equations explained on average 93% of the total observed variance in AGB. The inclusion of total height (h) or diameter at breast height² × total height (d²h) as a predictor in the d-only based equations systems slightly improved estimates for stem wood, stem bark and total above-ground biomass, and greatly improved the estimates produced by the branch and foliage biomass equations. The predictive power of the proposed equations is higher than that of existing models for the study area. The fitted equations were used to estimate stand level AGB stocks from data on growing stock in 429 permanent sampling plots. Three machine-learning techniques were used to model the estimated stand level AGB and carbon contents; the selected models were used to map the AGB and carbon distributions in the study area, for which mean values of respectively 129.84 Mg ha-¹ and 63.80 Mg ha-¹ were obtained.


2.
- Artículo con arbitraje
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Resumen en: Español | Inglés |
Resumen en español

Introducción: Los sistemas biométricos forestales constituyen las herramientas analíticas más utilizadas para el análisis de la producción y el crecimiento de los bosques. Objetivo: Presentar un nuevo sistema biométrico para los bosques templados y tropicales de México. Materiales y métodos: El área de estudio comprendió los estados de Chihuahua, Guerrero, Jalisco, Oaxaca, Michoacán, Puebla, Estado de México, Hidalgo, Tlaxcala, Veracruz y Quintana Roo. La toma de datos de campo se realizó mediante muestreo destructivo y no destructivo en cada Unidad de Manejo Forestal Regional (UMAFOR) en los estados. La metodología utilizada permitió generar sistemas de ecuaciones para la estimación de atributos de árboles individuales que son aditivos entre componentes, escalables a nivel de árbol completo y consistentes a lo largo de las diversas condiciones forestales del país. Resultados y discusión: El Sistema Biométrico Forestal “SiBiFor” está integrado por más de nuevas ecuaciones para especies arbóreas de los bosques templados y tropicales. SiBiFor contiene ecuaciones de volumen, de ahusamiento-volumen, de índice de sitio y de crecimiento en diámetro. Conclusión: Las ecuaciones desarrolladas mejorarán el manejo de los ecosistemas forestales del país lo que contribuirá a la sustentabilidad de los mismos.

Resumen en inglés

Introduction: Forest biometric systems are the most widely used analytical tools for analysis of forest growth and yield. Objective: To present a new biometric system for temperate and tropical Mexican forests. Materials and methods: The study area included the states of Chihuahua, Guerrero, Jalisco, Oaxaca, Michoacán, Puebla, State of Mexico, Hidalgo, Tlaxcala, Veracruz and Quintana Roo. Field data collection was done by using destructive and non-destructive sampling in each Regional Forest Management Unit (RFMU) in the states. The methodology generated equation systems for the estimation of individual-tree attributes that are additive between components, scalable at totaltree level and consistent throughout the country’s different forest conditions. Results and discussion: The Forest Biometric System (SiBiFor for its initials in Spanish) consists of more than new equations for tree species in temperate and tropical forests. SiBiFor contains volume, volume-taper, site index and diameter growth equations. Conclusion: The developed equations will improve the management of the country’s forest ecosystems, which will contribute to their sustainability.


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Libro