摘要
为建立适用于甘肃省的立木材积模型,获取更为准确的材积表,以甘肃省山杏、山杨为研究对象,采用电子经纬仪进行无损立木精测获取数据,并通过误差变量联立方程组方法,建立了两个树种的二元立木材积方程、一元立木材积方程以及树高-胸径回归模型,为准确估计相应树种的森林蓄积量提供了科学依据。利用经典的二元材积模型山本和藏式及指数树高模型进行联立得到相容性立木材积方程,通过6项指标对所得模型进行综合评价,结果表明:二元材积模型、一元材积模型都能取得良好效果,其中山杏二元材积表、胸径一元材积表的平均预估误差分别为2.12%,2.58%;山杨二元材积表、胸径一元材积表的平均预估误差分别为1.57%,2.01%;所建相容性一二元材积模型可用于甘肃省山杏山杨蓄积量估计。
In order to establish the one-way and two-way tree volume models for Gansu Province and im-prove the accuracy,the paper took Prunu sarmeniaca and Aspen as the research objects and applied elec-tronic theodolite to obtain precise data of standing tree in a nondestructive way.By using simultaneous e-quation of error variance,double-element tree volume equation,DBH duality standing tree volume equa-tion and tree height diameter model were constructed,which provided scientific basis for the estimation of forest stock volume in relevant tree species.The compatibility of the standing tree volume equation was derived from the classic Yamamoto and Tibetan two-way tree volume models as well as index tree height model,followed by an overall evaluation of the newly-established model with six indexes.It was revealed by the result that both two-way tree volume models could yield good results.The average prediction error of two-way tree volume table and prunus armeniaca DBH unitary-volume table is 2.12% and 2.58% re-spectively.In terms of aspen binary volume table and DBH unitary volume table,the average prediction error is 1.57% and 2.01% respectively.Therefore,the models of this article can be used to estimate the volume of prunus armeniaca and aspen in Gansu Province.
出处
《林业资源管理》
北大核心
2015年第2期65-70,共6页
Forest Resources Management
基金
国家自然科学基金(41371001)
关键词
二元材积方程
一元材积方程
树高模型
误差变量联立方程组
相容性
山杏
山杨
two-way tree volume,one-way tree volume model,tree hight model,error variable simultaneous equations,compatibility,prunus armeni
