区域尺度杉木生物量通用相对生长方程整合分析

General allometric equations for estimating Cunninghamia lanceolata tree biomass on large scale in southern China

对已发表的我国南方不同地点的杉木林生物量数据和方程进行整合分析(Meta-analysis),建立适合大尺度的杉木生物量估算通用相对生长方程。结果表明:通用相对生长方程拟合杉木树干、地上部分和全株生物量数据程度最高(相关系数R2>0.92),根生物量的拟合较好(R2>0.87),叶和枝的拟合较差(R2<0.78)。仅用胸径(D)作为自变量与引入胸径、树高因子(D2、H)相比,拟合的相对生长方程的相关系数相差不大。估算的各组份生物量叠加后,与地上部分和全株树木生物量方程估算值的相容性较好,其相关系数在0.99以上。方程检验结果与发表的全株生物量方程比较表明,整合分析数据拟合的通用相对生长方程能满足估算大尺度杉木地上部分和全株生物量的精度要求,可以用来估算区域杉木林的生物量和碳贮量。

After the data and local allometric equations in published literature concerning biomass of C.lanceolata trees were collected,meta-analysis was applied to generate pseudo-observations and to develop general allometric tree component biomass equations of C.lanceolata trees.The results show that the developed equations performed well for stem,above ground,and total tree biomass（R20.92）,and better for root biomass（R20.87）,but poorly for needle and branch biomass（R20.78） when estimating each component biomass of C.lanceolata.Adding tree height factor as the second independent variable slightly improved the predictive power of the allometric equation compared to the equation only involving stem diameter at beast height.Having been overlapped the estimated components biomasses,the estimated biomass values of the equations between above ground＇s was better compatible to that of total tree＇,and the correlation coefficient was over 0.99.The comparative results between equation test and the total tree biomass equation indicate that the general allometric equations fitted by the meta-analysis data can meet the accuracy requirement in estimating large scale C.lanceolata above ground and total tree biomass,and the equations can be use to estimate biomasses and carbon storage of regional C.lanceolata forests.