北京市树高胸径回归模型研建及一元立木材积表检验  

Tree Height-Diameter Regression Models Development and One-Variable Tree Volume Tables Examination in Beijing

作　　者：蒲莹 曾伟生 阳帆 PU Ying;ZENG Weisheng;YANG Fan(Academy of Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China)

机构地区：[1]国家林业和草原局调查规划设计院,北京100714

出　　处：《林业资源管理》2021年第3期62-66,共5页Forest Resources Management

基　　金：国家财政专项“森林资源监测与评价”(2130207)。

摘　　要：利用北京市14074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。Using the height data of 14074 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.

关 键 词：一元材积表 树高曲线 材积估计 模型检验 北京市 

分 类 号：S758.5[农业科学—森林经理学]