四川宝兴县杉木(Cunninghamia lanceolata)人工林立木生物量估算模型的研建  

Construction of Individual Tree Biomass Model for Cunninghamia lanceolata Plantation in BaoXing County of Sichuan Province

作　　者：王玮 周世兴[1] 黄从德[1] WANG Wei;ZHOU Shi-xing;HUANG Cong-de(National Forestry and Grassland Administration Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River,Sichuan Province Key Laboratory of Ecological Forestry Engineering on the Upper Reaches of the Yangtze River,College of Forestry,Sichuan Agricultural University,Chengdu 611130,Sichuan,China;Sichuan Forestry and Grassland Survey and Planning Institute,Chengdu 610084,Sichaun,China)

机构地区：[1]四川农业大学林学院,长江上游森林资源保育与生态安全国家林业和草原局重点实验室,长江上游林业生态工程四川省重点实验室,四川成都611130 [2]四川省林业和草原调查规划院,四川成都610084

出　　处：《四川林勘设计》2021年第4期9-16,共8页Sichuan Forestry Exploration and Design

摘　　要：在四川省宝兴县不同区域的杉木(Cunninghamia lanceolata)人工林中随机设置面积20 m×20 m的标准地92个,以不同径阶的92株杉木解析木实测数据为基础,通过非线性回归分析确定模型中变量的参数,经多次迭代分析后得到杉木单株立木各组分的生物量最优模型,并利用总相对误差(RS)、平均相对误差(E)和预估精度(P)检验指标对生物量最优模型进行检验。结果表明:总量和各分量生物量的最优模型的相关指数都达到了0.80以上,其中地上部分、树干和总量生物量的相关指数最大,树枝较小。各个模型的拟合效果较好,模型的相对误差和总误差都在±5%以内,预估精度也都达到了95%以上。所建立的生物量模型的估计值可靠,完全可满足森林生物量计量的精度要求,能够为我国西南内陆地区杉木生物量估计及碳汇能力评估提供计量依据。In this study,92 standard plots with an area of 20 m×20 m were randomly set in the Cunninghamia lanceolata plantation in different areas of Baoxing County,Sichuan Province.Based on the measured data of 92 analytical trees in different diameter class,the different components of individual tree biomass equations models were constructed by using the nonlinear regression analysis,respectively.After repeated iteration analysis,the biomass optimal model of each component of individual tree was obtained,and then the biomass optimal model was tested by using the three test indexes of total relative error(RS),average relative error(E)and estimated accuracy(P).The results showed that the correlation index of the optimal model of total biomass and biomass of each component reached more than 0.80.The correlation index of aboveground part,trunk and total biomass were the larger,and the branches were smaller.The fitting effects of each model were good.The relative error and total error of the model were within±5%,and the estimated accuracy were above 95%.The estimation value of the established individual tree biomass models were reliable,which could meet the accuracy requirement of forest biomass measurement and provide a basis for biomass estimation and carbon sink capacity assessment of Cunninghamia lanceolata in inland southwest China.

关 键 词：杉木人工林 立木生物量 地上生物量 地下生物量 

分 类 号：S71[农业科学—林学]