摘要
基于50株样木的实测数据,运用相关分析和回归分析方法,采用四种模型构建了西伯利亚云杉的地上、地下和各组分器官的生物量估测模型,对比分析了各拟合结果得出以下结论:各生物量模型对比得知,地上和树干生物量模型估计精度均高于树枝、树叶和地下生物量模型;最优的二元模型拟合度和预估精度都优于一元模型,其中地上和树干生物量二元模型精度提高显著;树枝、树叶和地下生物量模型二元模型精度提高有限,建议实际应用时采用一元模型W=a Db。各生物量二元模型拟合优度和预估精度对比分析显示,不同的变量组合拟合效果不同,常用变量D2H在估计树枝、树叶生物量时效果不如一元模型精度,而变量D3/H对树枝树叶生物量的估计最有效。
Based on the measured data of 50 sample trees, using correlation analysis and regression analysis methods, and by adopting four kinds of methods, the biomass estimating models for ground, underground, and each component organ ofPicea obovata were constructed. Theiftted results of set models were compared. The results show that contrasted all the biomass models, the estimated accuracy values of ground and trunk biomass models were higher than those of branches, leaves and underground biomass models; the optimal binary model’siftting degree and forecast accuracy both were superior to single-factor model, of them the ground and trunk biomass binary models improved signiifcantly in accuracy, the accuracy values of the binary model of branches, leaves and underground biomass model had a limited increase, so it is suggested that in the actual application, theW=aDb model should be used. The comparative analyses on biomass of two element model goodness ofift and predictive accuracy show that with different combinations of variables, theiftting effects were different, the effects of common variables （D2H） used in estimating branches and Leaf biomass were not as good as that of single-factor model, while the variable （D3H） had the most effective to estimating branches, foliage biomass.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2015年第11期115-120,共6页
Journal of Central South University of Forestry & Technology
基金
新疆林业厅项目新疆林业数表构建项目
国家国际科技合作项目(2010DFA92720-15)
新疆维吾尔自治区公益性科研院所基本科研业务经费资助项目
