面向自然资源资产清查的云南森林资源均质区划分研究  

Study on the Division of Forest Homogeneous Zones in Yunnan for Natural Resource Asset Inventory

作　　者：刘浩 郑璞冰 叶江霞 魏晓燕 Liu Hao;Zheng Pubing;Ye Jiangxia;Wei Xiaoyan(College of Forestry,Southwest Forestry University,Kunming Yunnan 650233,China;Yunnan Provincial Bureau of Surveying and Mapping/Yunnan Provincial Geomatics Centre,Kunming Yunnan 650032,China)

机构地区：[1]西南林业大学林学院,云南昆明650233 [2]云南省测绘资料档案馆/云南省基础地理信息中心,云南昆明650032

出　　处：《西南林业大学学报(自然科学)》2025年第1期137-145,共9页Journal of Southwest Forestry University:Natural Sciences

基　　金：国家自然科学基金项目(42061074,41701470)资助。

摘　　要：根据云南省各县与森林资源质量相关的森林起源、单位面积蓄积量、海拔、坡度、地形起伏、气候条件及社会经济等17个因子的空间差异,以县级单位之间的空间距离表示森林资源的相似程度,借助K-均值聚类和层次聚类的方法将云南省划分为空间上较一致的均质单元,揭示云南森林资源空间分异性。结果表明:K-均值聚类方法能更有效将云南省划分为6个森林资源均质区;且在实际应用中K-均值聚类的可操作性更强,结果更趋聚集连通性。研究除考虑森林资源禀赋外,将经济与人为活动因素纳入聚类分析中,可以更为客观地反映森林资源资产区域差异。研究可为构建国家森林资源资产清查价格体系及资产核算提供参考,对于支撑国家森林资源清查工作具有重要理论与实践价值。Based on the spatial differences in 17 factors associated with forest resource quality such as forest origin,volume per unit area,elevation,slope,topographic relief,climatic conditions and socio-economics among counties in Yunnan Province,the degree of similarity of forest resources was expressed in spatial distance between county units and Yunnan Province was classified into spatially more consistent homogeneous units by K−mean clustering and hierarchical clustering respectively.The results show that K−mean clustering is more effective,dividing Yunnan Province into 6 homogeneous zones,showing more conductive,aggregated and coherent in practice.In addition to considering the attributes of forest resources,the introducing of economic and an-thropogenic factors in the cluster analysis can reflect the regional difference in forest resources more objectively.The study can provide reference for constructing the price system of national forest resource asset inventory and asset accounting,and has important theoretical and practical value for supporting the national forest resource in-ventory work.

关 键 词：空间分异性 K-均值聚类 层次聚类 社会经济属性 均质区划分 

分 类 号：S757[农业科学—森林经理学]