Estimación de la densidad de madera en árboles de comunidades forestales templadas del norte del estado de Durango, México

Silva-Arredondo, Flor María; Návar-Cháidez, José de Jesús

doi:10.21829/myb.2012.1811139

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…Therefore, conventional standardized methods of measuring ρw must be re-evaluated by considering these variations. For example, [49] come up with guidelines to collect wood cores at 0.22H when they are conventionally taken at fixed D; H = 1.30 m. Further research is also required on the mathematical function that describes the relationship between ρw-D to complete this mathematical task and finally matching ρw and ρ. Note that three functions must be weighted: (i) bark, (ii) softwood, and (iii) hardwood that compose D at any tree bole H. This complicates any mathematical development of the ρw-D relationship.…”

Section: The Wood Specific Gravity Valuementioning

confidence: 99%

Semi-Empirical Models and Revision of Predicting Approaches of Tree Aboveground Biomass Assessments

Corral-Rivas

Luján-Soto

Domínguez-Gómez

et al. 2022

Forests

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Tree aboveground biomass (e.g., bole, branches, and foliage), M, plays key roles in forest management as it is the basis for evaluating the sink and flux of, for example, carbon and nitrogen, stand productivity, dendro-energy, litter & root biomass, hydrological parameters, among others. With the aim of further simplifying and understanding M, the central objective of this research was to review available techniques to develop, test, and validate two independent novel non-destructive, semi-empirical models using four major M datasets: (i) the shape dimensional bio-physical, MSD; and (ii) the restrictive mathematical, MNR, models. The proposed models advance and test how each of both approaches: (i) constant or (ii) variable scalar coefficients perform when predicting M with major assumptions bearing bio-physical principles. Results showed that M has to be predicted eventually with variable scalar coefficients; both models predicted compatible M figures; the evaluations matched the conventional equation well; and the independent data sets were well validated; the coefficients of determination, r2, and the standard errors, Sx%, had values > 96% and <20%, respectively, for most tested conifer tree species. In spite of demonstrating empirically and physically the ontogenetic-dependency of scalar coefficients, the MNR model, with constant β-scalar and variable a-intercept coefficients, performed slightly better, and precision appeared to be a function of the tree species growing in different forest ecosystems. Therefore, better parameterization advances for the testing and validation of the MSD model that uses variable scalar coefficients, which are consistent with ontogenetic principles, are preliminarily recommended for M assessments. The updated revision of models, the independent development, the construction using different assumptions, the individual mathematical and bio-physical parameterization, the consistency on M assessments, and the bearing of physical and biological properties are key pieces of scientific information presented in this report are required in modern forest management when predicting M and associated variables and attributes.

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Section: The Wood Specific Gravity Valuementioning

confidence: 99%

Semi-Empirical Models and Revision of Predicting Approaches of Tree Aboveground Biomass Assessments

Corral-Rivas

Luján-Soto

Domínguez-Gómez

et al. 2022

Forests

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“…1 was obtained from a variety of sources reported in Tab. 1 (i.e., Goche et al 2000, Honorato & Fuentes 2001, CONAFOR 2011, Arredondo & Návar 2012.…”

Section: Determining Carbon Sequestrationmentioning

confidence: 99%

Identifying priority conservation areas for above-ground carbon sequestration in Central Mexico

Cruz-Huerta¹,

González-Guillén²,

Martínez-Trinidad³

et al. 2017

iForest

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Identifying forest ecosystems with significant ecological, social, and/or economic values is an important first-step in conserving landscape function. Here, we identify priority conservation areas in the municipalities of Chignahuapan and Zacatlan, Puebla (Mexico), based on: (i) their capacity to sequester atmospheric CO2; and (ii) risk of future deforestation. We also explore management strategies for priority-lands conservation in the Mexican context. Aboveground C sequestration was estimated using wood density and biomass expansion-factor data available from local forestry sources. Deforestation risk was estimated by a probabilistic model of land use change using socioeconomic and biophysical variables. Carbon sequestration estimates ranged from 14 to 531 Mg ha -1 for Chignahuapan and Zacatlan, respectively. An estimated 11,746 and 4,406 ha of forest was determined to be at risk of deforestation in each municipality. Of these at-risk lands, 2,421 and 1,798 ha were determined to be at high risk. In combination, we determined that 10,687 and 4,319 ha, respectively, are priority lands for carbon sequestration in Chignahuapan and Zacatlan, of which 628 and 310 ha were determined to have high conservation priority. Identifying priority conservation areas through the integrated assessment of carbon sequestration and deforestation risk can enhance efforts to target land management strategies to mitigate climate change impacts. This approach can serve as a model for other forested regions in Mexico and other countries.

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Hydrothermal liquefaction of wood wastes in a concentrating solar plant: A techno-economic analysis

Bautista-Peñuelas

Macías²,

Villafán-Vidales³

et al. 2023

Energy Conversion and Management

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Estimación de la densidad de madera en árboles de comunidades forestales templadas del norte del estado de Durango, México

Cited by 7 publications

References 10 publications

Semi-Empirical Models and Revision of Predicting Approaches of Tree Aboveground Biomass Assessments

Semi-Empirical Models and Revision of Predicting Approaches of Tree Aboveground Biomass Assessments

Identifying priority conservation areas for above-ground carbon sequestration in Central Mexico

Hydrothermal liquefaction of wood wastes in a concentrating solar plant: A techno-economic analysis

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