Generic Additive Allometric Models and Biomass Allocation for Two Natural Oak Species in Northeastern China

Current models for oak species could not accurately estimate biomass in northeastern China, since they are usually restricted to Mongolian (Quercus mongolica Fisch. ex Ledeb.) on local sites, and specifically, no available Liaodong (Quercuswutaishanica Mayr). The goal of this study was, therefore, develop generic both a large scale evaluate the allocation patterns within tree components. A total 159 sample trees consisting 120 39 were harvested measured wood (inside bark), bark, branch foliage biomass. To account belowground biomass, 53 root systems excavated following aboveground harvest. share allocated different components was assessed by calculating ratios. An additive system equations fitted based predictors considering diameter (D), height (H), crown width (CW) length (CL). Model parameters estimated jointly fitting components’ using weighted nonlinear seemingly unrelated regression method. leave-one-out cross-validation procedure used predictive ability. results revealed that stem accounts about two-thirds ratio holds constant branches increases with increasing D, H, CW CL, while reverse trend found bark foliage. root-to-shoot nonlinearly decreased ranging from 1.06 0.11. Tree proved be good predictor, especially is more prominent than size improving models, yet it puts negative effects non-significant coefficients. Crown help improve models. We conclude selected will vigorously promote accuracy estimation.