摘要
盗伐林木案件中,如现地伐桩保存完好,但无采伐木,周围有林相、结构相同或相近林分的情况下,利用样木的根径和胸径测量数据,建立线性回归方程计算出盗伐林木的回归胸径,再利用其树高的测量数据建立树高曲线对数回归方程,计算出盗伐林木的回归树高,并利用统计学原理,对回归胸径进行相关系数检验,对回归树高进行F检验。试验结果认为,利用该方法能使盗伐林木的蓄积量计算值更加接近实际值。
For the illegal logging cases, in which stump was preserved without cutting wood and surroun- ded by stand with the same or similar forest form and structure, the linear regression equation was set up to calculate the regression DBH of the illegal logging based on the data of sample trees＇ ground diameter and DBH, and the logarithmic curve regression equation was set up to calculate the regression height of the illegal logging based on the data of sample trees＇ height. With the principle of Statistics, the related-coefficient test of regression DBH and F-test of regression tree height showed that stock volume of the illegal logging calculated by this method was precision.
出处
《林业调查规划》
2017年第5期14-19,共6页
Forest Inventory and Planning
关键词
盗伐林木
胸径回归
树高回归
一元线性回归
二元材积
相关系数检验
F检验
材积计算
illegal logging
DBH regression
tree height regression
unary linear regression
dual volume
related-coefficient test
F-test
timber volume calculation
