基于森林资源连续清查样地数据的林分林木生长模型研制

以广西森林资源连续清查固定样地的复测样木和样地数据为原始数据,对马尾松、杉木、阔叶树单木和林分生长率模型进行拟合。建立单木生长率模型,预估样地中采伐木生长量,求算其自然状态下未经采伐的样地林分生长量,以此为基础拟合林分生长率模型,初步选出3个较优模型,通过拟合与优化以及精度检验,最终选出最佳模型。在全区样本建模基础上,针对马尾松和杉木不同区域生长差异性,按一元立木材积模型适用区域同步进行分区组织样本建模,结果表明分区建模精度均高于全区样本拟合精度,其能更好地表达林分生长状况。

Development of Stand and Wood Growth Models Based on Data of Continuous Forest Inventory

The growth rate models of Pinus massoniana,Cunninghamia lanceolata,and individual wood of broad-leaved trees were fitted based on the re-measurement plots data of the continuous forest inventory in Guangxi.The single-wood growth rate model was established to estimate the growth of harvested wood in the plot,and to calculate the growth of the uncultivated plots in the natural state.Based on the single-wood growth rate models,the stand growth rate model was fitted,and three better models were initially selected.The best model was finally selected through fitting and optimization as well as accuracy test.In addition,based on the one-variable tree volume model,the regional model was established over the difference of growth between Pinus massoniana and Cunninghamia lanceolata in different regions.The results showed that the accuracy of regional model was higher than that of model in the whole region,which indicated that the regional model better expressed the growth status of the stand.