Allometric Equations to Estimate Aboveground Biomass in Spotted Gum (Corymbia citriodora Subspecies variegata) Plantations in Queensland

Accurate equations are critical for estimating biomass and carbon accumulation forest projects, bioenergy, other inventories. Allometric can provide a reliable accurate method predicting sequestration. Cross-validatory assessments also essential to evaluate the prediction ability of selected model with satisfactory accuracy. We destructively sampled weighed 52 sample trees, ranging from 11.8 42.0 cm in diameter at breast height three plantations Queensland determine biomass. Weighted nonlinear models were used explore influence different variables using two datasets: first dataset (52 trees) included (D), (H) wood density (ρ); second (40 crown (CD) volume (CV). Cross validation independent data showed that D alone proved be best performing model, lowest values AIC = 434.4, bias −2.2% MAPE 7.2%. Adding H ρ improved adjusted. R2 (Δ adj. 0.099 0.135) but did not improve AIC, MAPE. Using single variable CV estimate aboveground (AGB) was better than CD, smaller less 2.3%. demonstrated allometric developed validated during this study reasonable estimates Corymbia citriodora subspecies variegata (spotted gum) This equation could AGB similar spotted gum plantations. In context global estimations monitoring, allow remote sensing datasets.