北京市树高胸径回归模型研建及一元立木材积表检验
收稿日期: 2021-03-23
修回日期: 2021-04-23
网络出版日期: 2021-08-04
基金资助
国家财政专项“森林资源监测与评价”(2130207)
Tree Height-Diameter Regression Models Development and One-Variable Tree Volume Tables Examination in Beijing
Received date: 2021-03-23
Revised date: 2021-04-23
Online published: 2021-08-04
利用北京市14 074株测高样木数据,以二元立木材积估计值为基础,研建北京市13个树种组的树高胸径回归模型,建立新的一元立木材积表,并对新老2套一元材积表的估计误差进行检验和评价。结果显示:现行13个树种组的一元立木材积表对总体蓄积量的估计误差为-1.14%,对各个树种组的蓄积量估计误差在-36.59%~47.76%之间,有11个树种组的一元材积表已超出±5%的允许误差范围;新建13个树种组的一元立木材积表,其平均预估误差(MPE)都在5%以内,总体相对误差(TRE)和平均系统误差(ASE)都在±1%以内。研究表明:北京市13个树种组的老一元立木材积表仅有2个尚能继续使用,其他11个需要修正或更新;新建13个树种组的一元立木材积表,能满足林业行业标准的精度要求。
蒲莹 , 曾伟生 , 阳帆 . 北京市树高胸径回归模型研建及一元立木材积表检验[J]. 林草资源研究, 2021 , 0(3) : 62 -66 . DOI: 10.13466/j.cnki.lyzygl.2021.03.010
Using the height data of 14 074 sample trees in Beijing,and taking the volume estimates from two-variable tree volume tables as the base,the tree height-diameter regression models and one-variable tree volume tables/equations for 13 tree species were developed,and prediction errors of new and old one-variable tree volume tables were examined and evaluated.The results showed that the relative error (RE) of total volume estimate predicted by the current one-variable tree volume tables for 13 tree species was -1.14%,and the REs of species-specific volume estimates were between -36.59%~47.76%,where the one-variable volume tables for 11 tree species have exceeded the allowable error ±5%;the mean prediction errors (MPE) of new one-variable tree volume equations for 13 tree species were all less than 5%,the total relative errors (TRE) and average systematic errors (ASE) were all within ±1%.The study concluded that only 2 of the 13 old one-variable tree volume tables can be applied,while the other 11 volume tables needed to be revised or updated;and the one-variable tree volume tables developed in this study for 13 tree species met the precision requirement of ministerial standard in forestry.
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