非线性回归方法建立亚热带常绿阔叶树种地上生物量相对生长方程  

Using nonlinear regression method to develop allometric equations for aboveground biomass estimate of three evergreen broadleaved tree species in subtropical China

作　　者：侯燕南[1,2] 吴惠俐[1] 

机构地区：[1]中南林业科技大学,湖南长沙410004 [2]湖南省林业厅造林处,湖南长沙410004

出　　处：《中南林业科技大学学报》2016年第12期98-101,107,共5页Journal of Central South University of Forestry & Technology

基　　金：国家林业公益性行业专项项目(201304317)

摘　　要：我国亚热带地区森林类型多样、组成结构复杂、碳吸存能力高,是我国亚热带地区重要的碳库。然而,关于亚热带常绿阔叶林生物量和碳储量估算方法的研究报道较少。本研究选择亚热带常绿阔叶林中3个优势树种青冈Cyclobalanopsis glauca、豹皮樟Litsea rotundifolia和木荷Schima superba为研究对象,构建以胸径(DBH)为自变量的树种各器官生物量相对生长方程。结果表明:3个常绿阔叶树种各器官生物量估算相对生长方程具有显著相关性(P<0.000 1),拟合效果好,决定系数均大于0.914 7;青冈树种生物量相对生长方程拟合效果优于木荷和豹皮樟;树干和地上部分生物量相对生长方程拟合效果优于树枝和树叶。本研究结果为亚热带常绿阔叶林生物量和碳储量的估算提供准确有效的估算方法。Subtropical China has diverse forests which contain a diversity of tree species and exhibit a high carbon （C） sequestration capacity. However, at present, the equations of the forest biomass and C stocks estimation in subtropical China have been rare reported. Hence, we selected evergreen broadleaf forest of subtropical China to develop species-specific allometric equations for three dominant species （Cyclobalanopsis glauca, Schima superba, Litsea rotundifolia） for the function group of evergreen hroadleaved species. Species- specific equations using DBH alone as the predictor variable fitted the data well for each tree component. Species-specific equations for three tree species performed well with high correlation coefficients （R2 〉 0.9147, P 〈 0.0001）, the fitted effects of species-specific allometric equations for C. glauca were corresponding lightly higher than that for S. superba and L. rotundifolia, the fitted effects of species-specific allometric equations for stem and abovegrotmd were higher than that for branch and leaf. Our study may provide precise and valid equations for forest biomass and C stocks estimation in evergreen broadleaved forest of subtropical China.

关 键 词：亚热带常绿阔叶林 青冈 豹皮樟 木荷 相对生长方程 胸径 

分 类 号：S718.554.2[农业科学—林学]