【摘要】 森林生物量是评估区域森林碳储量的重要参数,也是森林固碳能力的重要标志,而生物量方程是估算森林生物量的主要途径。收集了自1996年至2012年在国内外正式出版的66篇文献中的乔木生物量方程,包括44个乔木树种、612个分量方程,涵盖了中国主要的乔木树种。通过对自变量的选择、方程的形式、样本数量的多少、决定系数的大小、样本采集地区等方面对收集到的生物量方程进行分析。结果表明:1)生物量方程多以胸径(D)、树高(H)或两者的组合作为自变量,方程决定系数(R~2)较高,方程均具有较高的拟合精度;2)树木生物量方程主要采用幂函数、对数函数、多项式函数以及指数方程的形式,其中以幂函数W=a(D2H)b形式的方程居多;3)建立方程的样木数量从3～399不等,样本数量在3～10株的方程数量最多;4)样本采集地区主要分布于中国森林植被丰富的东北地区与西南地区。更多还原

【Abstract】 Forest biomass is an important parameter to estimate regional forest carbon reserves and an important symbol of forest carbon sequestration ability. Biomass equation is the main way to estimate forest biomass. A total of 612 component equations of tree biomass, including 44 arbor tree species’ equations, were collected from 66 literatures published at home and abroad from 1996 to2012, covering the main tree species in China. Considering the selection of independent variables, the form of the equation, the number of samples, the size of the determination coefficient and the sampling area, the collected biomass equations were analyzed. The results show that: 1) The biomass equation took DBH(D), tree height(H) or combination of both as the independent variables, the coefficient of determination(R~2) of the equation was higher and the equations all had higher fitting accuracy. 2) These tree biomass equations of tree biomass were mainly in the form of power function, logarithmic function, polynomial function and exponential equation, among which the equation in the form of power function W=a(D2 H)b was the most. 3) The number of sample trees to establish the equations varies from 3 to 399, and the equation numbers with 3 to 10 plants were the largest. 4) Sample collection areas are mainly located in Northeast and Southwest China, where forest vegetation is abundant.更多还原