西藏自治区冷杉林生物量分布格局及模型研建  

Biomass distribution pattern and model establishment of fir forest in Tibet

作　　者：周学武[1] 刘金山[1] 张蓓[1] 张万林[1] ZHOU Xuewu;LIU Jinshan;ZHANG Bei;ZHANG Wanlin(Central South Forest Inventory and Planning Institute of State Forestry Administration, Changsha 410014, Hunan, China)

机构地区：[1]国家林业局中南林业调查规划设计院

出　　处：《中南林业科技大学学报》2018年第5期104-108,共5页Journal of Central South University of Forestry & Technology

基　　金：国家自然科学基金项目(41171191)

摘　　要：基于第八次全国森林资源连续清查实测样地数据,研建了冷杉林生物量密度多元线性和非线性模型,探寻地理因子与林分因子对生物量的协同影响。结果表明:以胸径、郁闭度为自变量构建的模型,其决定系数为0.526,预估精度为93.63%;以林龄、海拔、郁闭度为自变量构建的模型,其决定系数为0.403,预估精度为92.28%。结合西藏森林资源连续清查或森林资源规划设计调查数据,可用于全区尺度上冷杉林生物量的估算;利用林龄、海拔为自变量构建的模型,可用于掌握生物量、碳汇在空间上的分布规律及某一时期内的碳汇量。Based on the eighth national forest resources continuous inventory data, multi-linear and nonlinear models of fir forest biomass density were constructed to explore the synergistic effect of geographical factors and biological factors on biomass.The results showed that the determination coefficient is 0.526, and the estimated accuracy is 93.63%, constructed with DBH and canopy closure as independent variables. The determination coefficient is 0.403, and the estimated accuracy is 92.28%, with forest age, altitude and canopy closure as independent variables. Combined with the data of forest resources continuous inventoryor forest resources planning and designin Tibet,it can be used to estimate the biomass of fir forest on the scale of the whole region. Using the model of forest age and altitude as independent variables, it can be used to master the distribution of biomass and carbon sinks in space and in a certain period.

关 键 词：冷杉 生物量 碳汇 林龄 海拔 

分 类 号：S718.556[农业科学—林学] S791.14