利用误差变量联立方程组建立南方杉木一元立木材积模型和胸径地径回归模型

摘要

利用我国南方的杉木实测数据，采用误差变量联立方程组方法，同时建立了胸径一元材积模型、地径一元材积模型和胸径一地径回归模型。结果表明：地径与胸径之间相关紧密，其回归模型的确定系数可以达到0．96以上；地径一元材积模型的预估精度要明显低于胸径一元材积模型。%Based on the data of Chinese fir ( Cunninghamia lanceolata) in southern China, three models, DBH (Diameter at Breast Height ) -based volume model, DRC (Diameter on Root Collar)-based volume model, and DBH-DRC regression model, were constructed using the error-in-variabl~ simultaneous equations approach. The results showed that DBH is closely related to DRC, determination coefficient of the regression is more than 0. 96 ; and the prediction precision of DRC-based volume model is clearly lower than that of DBH-based volume model.