Abstract

NAVARRO-MARTINEZ, José et al. Fitting allometric equations to estimate aboveground biomass for Pinus oocarpa and Quercus resinosa at Guerrero, Mexico. Madera bosques [online]. 2020, vol.26, n.1, e2611964.  Epub June 30, 2020. ISSN 2448-7597.  https://doi.org/10.21829/myb.2020.2611964.

Trees sequester and store large amounts of carbon within their biomass, thus helping to mitigate the effects of the greenhouse gasses (GHG). To date, no allometric equations exist to estimate biomass of the forest tree species from Guerrero, Mexico. That is why the aim of the present study was to generate equations to estimate aboveground biomass for Pinus oocarpa Schiede and Quercus resinosa Liebmann. Databases consisted of 33 and 19 sample trees for the pine and oak species, respectively, all of them distributed in temperate forest within Hueyapa river micro-watershed, Guerrero, Mexico. The biomass was estimated based on the dry weight of 6 to 14 samples per tree component, according to tree size. Power models were adjusted in their linear form and with Box-Cox transformation. The model that best estimated the aboveground biomass in P. oocarpa was the power function and for Q. resinosa it was the one obtained with the Box-Cox transformation, using the logarithm of the diameter at breast height ($ln{D}_i$) and the transformed combined variable ${\left({{\mathrm{D}}_i}^2{H}_i\right)}^{\mathrm{\text{'}}}$ as the independent one, respectively. The allometric equations generated fill the existing vacuum for the estimating the aboveground biomass of these forest species in Guerrero state.

Keywords : Akaike information criteria AIC; allometric equation; Hueyapa River; Box-Cox transformation.

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