欢迎访问林业资源管理

林业资源管理 ›› 2012, Vol. 0 ›› Issue (5): 111-118.

• 科学技术 • 上一篇    下一篇

贵州省册亨县林业发展区划数量化划分研究

赵华1,2, 刘勇2, 刘隆德1, 孙吉慧1, 顾永顺1   

  1. 1.贵州省林业调查规划院,贵阳 550003;
    2.北京林业大学 省部共建森林培育与保护教育部重点实验室,北京 100083
  • 收稿日期:2012-06-08 修回日期:2012-08-19 出版日期:2012-10-28 发布日期:2020-11-27
  • 通讯作者: 刘勇,男,教授,博士,博士生导师,主要研究方向为森林培育学。Email:lyong@bjfu.edu.cn
  • 作者简介:赵华(1968-),男,贵州安龙人,高工,博士,主要研究方向为森林培育。Email:zhyf-zhyf@163.com
  • 基金资助:
    贵州省农业科技攻关项目(2011GZ65518)

Study on Quantitative Classification for Forestry Development Division of Ceheng County,Guizhou Province

ZHAO Hua1,2, LIU Yong2, LIU Longde1, SUN Jihui1, GU Yongshun1   

  1. 1. Institute of Forest Inventory and Planning of Guizhou Province,Guiyang 550003;
    2. Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China
  • Received:2012-06-08 Revised:2012-08-19 Online:2012-10-28 Published:2020-11-27

摘要: 为确定区域森林的主体功能和林业建设重点,使其形成各具特色的区域林业经济和优势明显的生态服务体系格局,选取贵州省册亨县自然地理、社会经济、生态环境和森林状况等指标,用因子分析与系统聚类相结合的数量化划分方法,进行了县级林业发展区划数量化分区,结果表明:先用因子分析建立因子分析模型,再用较少的几个载荷大量信息的因子进行系统聚类的林业发展区划数量化划分方法,不仅克服了以往区划以定性分析为主的弱点,而且还能剔除常规划分方法中各指标间的相关性;通过对影响册亨县各乡镇林业发展的30个指标的因子分析,建立因子分析模型,用6个载荷89.945%信息量的因子对贵州册亨县的14个乡镇进行系统聚类,结果可将册亨县分为5个区。此研究不仅丰富了林业发展区划理论,而且还可对贵州林地保护利用等林业规划及其相关产业的区划、规划提供借鉴。

关键词: 林业发展区划, 因子分析, 系统聚类, 贵州册亨

Abstract: In order to define regional forest functions and key forestry construction project,and to form special local spatial pattern of modern forestry development and ecological service system,this paper uses the indexes which reflect regional conditions of nature,social economic conditions,ecological environment and forest and the forestry development divisions of Ceheng County were made by using the method of quantitative classification,which includes Factoral Analysis(FA)and Hierarchical Cluster(HC).Results showed that the quantitative classification methods of forestry development division are based on the normal factoral analysis model by using factoral analysis,a few of factors(load more information) and hierarchical clustering.It overcame the weakness of productivity series methods in qualitative analysis and avoided information overlapping among various factors;By factoral analysis of 30 indexes that affected township forestry development division in Ceheng County,the normal factoral analysis model was built,the front 6 factors reflected 89.95% information of 14 townships' forestry development situations in Ceheng County. Through quantitative classification methods 14 townships in Ceheng County were classified into 5 major functional areas. Quantitative classification methods not only provided a reference for the forestry development division at county level,but also provided an example in forestry division or other related division and planning and enriched the theory of forestry development division as well.

Key words: forestry development division, factoral analysis, hierarchical clustering, Guizhou Ceheng

中图分类号: