摘要
文章以佳木斯孟家岗林场的不同年龄、不同密度及不同立地条件的落叶松人工林为研究对象,选取130株样木,测定每株样木15个相对高处的带皮直径,采用非线性回归模型的参数估计方法拟合5个削度方程,根据所计算各削度方程的拟合统计量和残差分析,选择最佳削度方程。研究结果表明,模型V-修正Kozak(1994)式为拟合效果最好的落叶松人工林可变参数削度方程。该模型拟合精度高,而且预测误差低、预估精度高,可以很好地估计落叶松不同林木大小任意部位的去皮直径或任意小头直径时的材长,为编制落叶松人工林材种出材率表提供基础。
In this paper, 130 sample trees were selected in larch plantations with different ages, densities and site conditions in Mengjiagang Farm in Jiamusi city. The diameters outside bark at 15 relative heights were measured for each sample tree. 5 taper equations were fitted by parameter estimations of nonlinear regression models, and the optimum model was chosen in line with the fitting statistics and residual analysis. The results showed that the modified Kozak ( 1994)model V was the optimum variable parameter taper equation for larch plantations, which was of highly fitting, precisely prediction and low errors. The diameters inside bark at different positions or the timber lengths with diameters at small ends could be estimated, which provided basic data for formulate tables of rates of recovery for larch plantation.
出处
《辽宁林业科技》
2009年第1期8-13,共6页
Liaoning Forestry Science and Technology
基金
"十一五"支撑计划课题(2006bad24b06)