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吉林省主要树种胸径生长率预测模型的研究

Study on the Prediction Model of DBH Growth Rate of Main Tree Species in Jilin Province
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摘要 基于吉林省第八次和第九次全国森林资源连续清查样地实测胸径数据,构建吉林省主要树种的胸径生长率预测模型。从4种常见的胸径生长率模型中选出最优模型,并对模型的拟合效果进行评价。其中,白桦、枫桦、胡桃楸、蒙古栎、色木槭、山杨的拟合效果比较好,相关系数(R^(2))能达到0.8以上,均方根误差(RMSE)在0.0030~0.0066之间。而春榆、红松、鱼鳞云杉的拟合效果一般,相关系数(R^(2))低于0.6,均方根误差(RMSE)在0.0038~0.0075之间。 Based on the measured DBH data of the eighth and ninth national forest resource inventory samples in Jilin Province,a prediction model for the DBH growth rate of major tree species in Jilin Province is constructed.Select the optimal model from four common models for chest diameter growth rate,and evaluate the fitting effect of the model.Among them,the fitting effect of Betula platyphylla Sukaczev,Betula costata Trautv.,Juglans mandshurica Maxim.,Quercus mongolica Fisch.ex Ledeb.,Acer pictum Thunb.,Populus davidiana Dode is better,the correlation coefficient(R^(2))can reach more than 0.8,and the Root-mean-square deviation(RMSE)is between 0.0030~0.0066.However,the fitting effect of Ulmus davidiana Planch.var.japonica(Rehd.)Nakai,Pinus koraiensis Siebold&Zucc.and Picea jezoensis(Siebold&Zucc.)Carrière is general,with the correlation coefficient(R^(2))lower than 0.6 and the Root-mean-square deviation(RMSE)between 0.0038~0.0075.
作者 柳长明 LIU Changming(Qiancengban Branch of Heibei Saihanba Machinery Forest Farm,Chengde 067500)
出处 《林业勘查设计》 2023年第4期75-83,共9页 Forest Investigation Design
关键词 胸径生长率模型 森林资源连续清查 吉林省 DBH Growth Rate Model Continuous Inventory of Forest Resources Jilin Province
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