基于林分高度及郁闭度的森林生物量和蓄积量模型研究  

Research on Forest Biomass and Stock Volume Model Based on Stand Height and Canopy Density

作　　者：吴发云 高显连 周蓉 王鹏杰 付安民 WU Fayun;GAO Xianlian;ZHOU Rong;WANG Pengjie;FU Anmin(Academy of Inventory and Planning,National Forestry and Glassland Administration,Beijing 100714,China;Beijing Forestry University,Beijing 100083,China;Institute of Forest Resource Information Techniques CAF,Beijing 100091,China)

机构地区：[1]国家林业和草原局调查规划设计院,北京100714 [2]北京林业大学,北京100083 [3]中国林业科学研究院资源信息研究所,北京100091

出　　处：《林业资源管理》2021年第2期61-67,共7页Forest Resources Management

基　　金：2020年行业管理专项业务经费“陆地碳卫星星机地综合实验”(2020-21-89**);国家林草局自主研发计划项目“航空和背包激光雷达空地耦合的森林资源调查监测关键技术研究及示范应用”(LC-1-01)。

摘　　要：随着激光雷达和立体影像航天航空遥感技术的快速发展,目前,我国虽然具备了快速获得林分平均高、郁闭度等相关信息的能力,但缺少利用林分平均高和郁闭度来准确估测森林生物量和蓄积量的模型,这严重影响了激光雷达和立体影像航天航空遥感技术的推广应用。为了对模型的构建进行探研,利用湖南湘西地区地面调查数据中52块杉木样地的林分平均高、郁闭度、株数等数据,通过因子变量组合不同的自变量形式,并分别构建多个不同函数形式的杉木地上生物量、蓄积量反演模型,用决定系数R^(2)对模型进行评价。结果表明,基于杉木林分平均高、郁闭度构建的因子变量组合与地上生物量、蓄积量之间有紧密的联系。其中:以e为底数的对数形式变量ln(C×HH^(2))作为解释变量的杉木地上生物量模型、蓄积量模型拟合效果最佳;指数函数模型能够精确地表达自变量与地上生物量、蓄积量之间的关系;与一次函数模型、幂函数模型、对数函数模型相比,指数函数模型的拟合效果更佳。对杉木林分平均高、林分郁闭度与地上生物量、蓄积量之间的关系进行了有效探究,构建了杉木地上生物量模型、蓄积量模型,以期为建立林分平均高和郁闭度因子估测其它树种的地上生物量和蓄积量模型提供参考依据。With the rapid development of LiDAR and stereo image space aerial remote sensing technology,although China has the ability to quickly obtain the information of average stand height and canopy density,there is a lack of models to accurately estimate the biomass and volume of forest,which seriously affects the popularization and application of the technologies.In order to explore the construction of the model,the average stand height,canopy density and plant number of 52 Chinese fir sample plots from the ground survey data in Xiangxi area of Central China′s Hunan Province are used to construct several inversion models of Chinese fir aboveground biomass and volume in different function forms through different independent variables,and the model is evaluated by the coefficient of determination R^(2).The results show that the combination of factor variables based on average stand height and canopy density is closely related to aboveground biomass and volume.Among them,the above ground biomass model and volume model of Chinese fir with e as the base logarithmic variable ln(C×HH^(2))as the explanatory variable have the best fitting effect;the exponential function model can accurately show the relationship between the independent variable and aboveground biomass and volume.Compared with the linear function model,power function model and logarithmic function model,the exponential function model has better fitting effect.Such methods prove effective to explore the relationship among average stand height,canopy density and aboveground biomass and volume of Chinese fir.The aboveground biomass model and volume model of Chinese fir are constructed in order to provide reference for establishing the aboveground biomass and volume model for other tree species estimated by average stand height and canopy density factors.

关 键 词：地上生物量 蓄积量 林分平均高 郁闭度 模型构建 

分 类 号：S711[农业科学—林学] S758.5