Abstract
The aim of this study was to establish the relationships between height and diameter (DBH) of Quercus acutissima in a broadleaved-conifer mixed forests in Mountain Tai in China. Based on the data of Q. acutissima from a 0.6 hm2 permanent forest plot, the relationships between height and DBH were simulated with six empirical models, including Linear, Power, Chapman-Richards, Logistic, Korf and Weibull models, to select the optimization model. There is no significant difference in the predictive power of each growth model. The fitting and test results of each model in this study show that these six model forms have good prediction effects. The results showed that the logistic fitting effect is the best model for Q. acutissima. The Logistic model can be applied to the simulation of tree height and diameter of coniferous and broad-leaved mixed forests in this area.
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