以1 102株河南黄山松分布区样木数据为基础,依据径阶分布将样木数据划分为776株建模样本和300株检验样本,用最小二乘法非线性回归建模方法,对备选的8个二元立木材积模型、6个一元立木材积模型、7个地径材积模型进行参数估计,采用离差平方和、相关指数、总相对误差、相对误差平均值、相对误差绝对值平均值和预估精度等指标进行模型优选,利用检验样本通过总相对误差、相对误差绝对值平均值和F检验3个检验指标进行适合性检验。结果表明,黄山松二元立木材积最优模型为可变参数山本式模型;一元立木材积最优模型为迪赛科库-迈耶式模型;确定了地径立木材积最优模型。黄山松立木材积模型的建立及其在编表中的应用,弥补了河南黄山松分布区尚无立木材积表的缺陷,可有效提高黄山松调查与研究的精度和效率。

Based on the sample data of 1102 pine trees in the distribution area of Pinus taiwanensis in Henan Province,which were divided into 776 modeling samples and 300 test samples according to the diameter order distribution,this paper used the least square nonlinear regression modeling method,so as to conduct parameter estimation on the 8 alternative binary standing volume models,6 univariate standing volume models,and 7 ground diameter volume models. Indexes like the sum of squares of deviation,correlation index,total relative error,average value of relative error,average value of absolute value of relative error and prediction accuracy were used for model optimization,the applicability test was carried out by using the test samples through three test indexes: total relative error,average value of absolute value of relative error and F test. The results showed that the optimal model of binary standing volume of Pinus taiwanensiswas variable parameter Yamamoto model;the optimal model of one-dimensional standing volume was Desakoku Meyer model;the optimal model of ground diameter standing volume was determined. The establishment of stand volume model of Pinus taiwanensis and its application in tabulation made up for the defect of no stand volume table in the distribution area of Pinus taiwanensis in Henan Province,and can effectively improve the accuracy and efficiency of investigation and research of Pinus taiwanensis.