中国主要乔木树种生物量方程
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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。
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.
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.
引文
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[19]肖君.南方型杨树人工林生长与收获模型的研究[D].南京:南京林业大学,2006.
[2]尹惠妍,李海奎.多水平林木生物量估算方法研究[J].西北林学院学报,2016,31(2):38-44.
[3]TER-MIKAELIAN M T,KORZUKHIN M D.Biomass equations for sixty-five North American tree species[J].Forest Ecology and Management,1997,97:1-24.
[4]JENKINS J C,CHOJNACKY D C,HEATH L S,et al.Comprehensive database of diameter-based biomass regressions for North American tree species[J].United States Department of Agriculture,2004.
[5]ZIANIS D,MUUKKONEN P,MAKIAPAA R,et al.Biomass and stem volume equations for tree species in Europe[J].Silva Fennica,2005(4).
[6]冯宗炜,王效科,吴刚.中国森林生态系统的生物量和生产力[M].北京:科学出版社,1999.
[7]罗云建,王效科,张小全,等.中国森林生态系统生物量及其分配研究[M].北京:中国林业出版社,2013.
[8]尹惠妍.大区域森林生物量估算方法研究[D].北京:中国林业科学研究院,2014.
[9]曾伟生,唐守正.东北落叶松和南方马尾松地下生物量模型研建[J].北京林业大学学报,2011,33(2):1-6.
[10]靳阿亮,饶良懿,李佳等.华北落叶松人工林生物量实测分析[J].广东农业科学,2012,39(12):165-168.
[11]张晓璇.北京市延庆县落叶乔木层地上部分生物量的研究[J].林业科技,2012,37(1):12-15.
[12]程堂仁,马钦彦,冯仲科,等.甘肃小陇山森林生物量研究[J].北京林业大学学报,2007,29(1):31-36.
[13]SPRUGEL D G.Correcting for bias in Log-Transformed Allometric Equations[J].Ecology,1983,64(1):209-210.
[14]李海奎,雷渊才.中国森林植被生物量和碳储量评估[M].北京:中国林业出版社,2010.
[15]国家林业局森林资源管理司.第七次全国森林资源清查及森林资源状况[J].林业资源管理,2010(1):1-8.
[16]尹惠妍,李海奎.基于蓄积的森林生物量估算方法的对比分析[J].林业科学研究,2014,27(6):848-853.
[17]王为斌,党永峰,曾伟生.东北落叶松相容性立木材积和地上生物量方程研建[J].林业资源管理,2012(2):69-73.
[18]唐守正,张会儒,胥辉.相容性生物量模型的建立及其估计方法研究[J].林业科学,2000(S1):19-27.
[19]肖君.南方型杨树人工林生长与收获模型的研究[D].南京:南京林业大学,2006.