RT Journal Article
T1 Allometric Equations for Estimating Biomass and Carbon Stocks in the Temperate Forests of North-Western Mexico
A1 Vargas Larreta, Benedicto
A1 López Sánchez, Carlos Antonio
A1 Corral Rivas, José Javier
A1 López Martínez, Jorge Omar
A1 Aguirre Calderón, Cristóbal Gerardo
A1 Álvarez González, Juan Gabriel
K1 Above-ground biomass
K1 GMM
K1 Allometry
K1 Biomass allocation
K1 Machine learning technique
AB 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 cross-validation 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.
PB MDPI
YR 2017
FD 2017
LK http://hdl.handle.net/10347/22779
UL http://hdl.handle.net/10347/22779
LA eng
NO Vargas-Larreta, B.; López-Sánchez, C.A.; Corral-Rivas, J.J.; López-Martínez, J.O.; Aguirre-Calderón, C.G.; Álvarez-González, J.G. Allometric Equations for Estimating Biomass and Carbon Stocks in the Temperate Forests of North-Western Mexico. Forests 2017, 8, 269. https://dx.doi.org/10.3390/f8080269
NO This study was financially supported by the Mexican National Council for Science and Technology (CONACyT) and by the State of Durango Government (Project FOMIX- DGO-2011-C01-165681)
DS Minerva
RD 24 abr 2026