Compilation of Stand Form Height Table at Jilin Forest Industry General Administration Area
In forestry,stand height models are used to predict and control the growth and yield of stands,playing a significant role in the planning and management of forest resources.Based on data from 27,884 sample plots,this study classified and formed 18 stand types.Then,eight functions were selected for model fitting,following the prin-ciple of maximizing the adjusted coefficient of determination(Ra2)and minimizing the root mean square error(RMSE),to identify the optimal models for different stand types.Through cross-validation,four indicators-total relative error(TRE),mean systematic error(MSE),mean prediction error(MPE),and mean percentage standard error(MPSE)-were used to evaluate the optimal models.Ultimately,optimal stand height models were established for the 18 stand types,with TRE and MSE within±0.1％,and MPE and MPSE below 3％and 12％,respectively.This study developed a representative stand height model system for key state-owned forest areas in Jilin Province,filling the gap in stand height modeling in this region.These models exhibited good fit with their respective sample points,demonstrating good predictive ability,and can be widely applied in forest resource planning,design,survey-ing,and continuous inventory.Furthermore,the study further validated the feasibility of fitting models using all the data and verifying models using the"knife-edge"method.This approach helps to avoid overfitting and underfitting is-sues to some extent,improving the predictive accuracy of the models.
Stand heightKey state-owned forest areasJilin ProvinceStand height models
国家科技期刊平台
NSTL
万方数据
维普
