摘要
以海南省1984―2013年的六次森林资源一类清查数据为基础,选取造林总面积、森林病虫鼠害发生面积、森林火灾受害面积、木材总产量和林业从业年末人数等5个指标,构建森林碳汇向量自回归模型,研究这5个指标对海南省森林碳汇的动态影响及其权重大小,并分析其影响原因,旨在提高该地区的森林碳汇能力。
Based on the data of six forest resources inventory in Hainan from 1984 to 2013,this paper constructed a vector auto regressive model of forest carbon sink by selecting five indicators:total area of afforestation,area of occurrence of forest pests and rodents,area of forest fire damage,total timber yield and the number of forestry practitioners at the end of the year.The dynamic impacts and influence weights of these five indicators on forest carbon sinks in Hainan were studied,and the reasons for their impacts were analyzed in order to improve the forest carbon sink capacity in this region.
作者
陈新军
刘扬晶
楚春晖
CHEN Xinjun;LIU Yangjing;CHU Chunhui(Guangxi Hua Sen Design Consulting Co.Ltd,Nanning 530000,Guangxi,China;Central South Inventory and Planning Institute of State Forestry and Grassland Administration,Changsha 410014,Hunan,China)
出处
《中南林业调查规划》
2018年第4期48-53,共6页
Central South Forest Inventory and Planning
关键词
森林碳汇
向量自回归模型
海南
forest carbon sink
vector auto regression model
Hainan
