欢迎访问林业资源管理

林业资源管理 ›› 2009, Vol. 0 ›› Issue (1): 114-117.doi: 10.13466/j.cnki.lyzygl.2009.01.026

• 科学技术 • 上一篇    下一篇

模糊聚类分析方法在乌兰察布市林业区划中的应用

李军1, 李小梅2, 康志强2, 张秋良2   

  1. 1.乌兰察布职业学院, 内蒙古自治区集宁 012000;
    2.内蒙古农业大学林学院, 呼和浩特 010018
  • 收稿日期:2009-01-01 修回日期:2009-01-20 出版日期:2009-02-28 发布日期:2021-01-27
  • 通讯作者: 张秋良(1960-), 男, 教授, 博士生导师, 主要从事森林可持续经营。Email:zqlemail@vip.sina.com
  • 作者简介:李军(1961-), 男, 内蒙古集宁人, 副教授, 主要从事生态与环境保护的研究。

Application of Fuzzy Clustering Analysis Method in Forestry Division

LI Jun1, LI Xiaomei2, KANG Zhiqiang2, ZHANG Qiuliang2   

  1. 1. Wulanchabu Vocational College, Jining 012000, Inner Mongolia, China;
    2. Forestry College of Inner Mongolia Agricultural University, Huhhot 010018, Inner Mongolia, China
  • Received:2009-01-01 Revised:2009-01-20 Online:2009-02-28 Published:2021-01-27

摘要: 根据内蒙古乌兰察布市的自然、社会和经济条件, 选取了平均海拔、年均降水、平均温度、农民人均收入、森林覆盖率、天然林面积比重、生态公益林面积比重7个指标, 运用模糊聚类分析方法对该区进行聚类区划, 区划出5个区域, 分别是:Ⅰ阴山山地南麓东段经济用材林区, Ⅱ阴山南麓黄土丘陵防护林区, Ⅲ乌兰布市阴山北麓防护特用林区, Ⅳ乌兰察布市前山丘陵用材林区, Ⅴ阴山山脉灰腾梁南麓特用林区。各区域间自然条件等差异较大, 而区内基本相同。针对各区特点提出了林业发展布局、目标及建议。

关键词: 林业区划, 模糊聚类分析, 布局

Abstract: Based on the natural, social and economic conditions of Wulanchabu City, seven indexes are selected, which are average elevation.average annual rainfall, average temperature, forest coverage, natural forest area, per capita income of farmers and ecological forest area.The fuzzy clustering analysis method is used for the w hole area, which is divided into 5 sub-areas by using clustering method. The five sub-areas include timber forest at the south foot of Yinshan mountains, protective forest in the loess hilly area at the south foot of Yinshan mountains, special purpose forest at the no rth foot of Yinshar mountains, timber forest in the Qianshan hilly area of Wulanchabu city and special purpose forest in Huitengliang area of Yinshan mountains.Big dif ferences exist in natural conditions among those areas, but no dif ference wi thin each individual area.According to the specific conditions of each area, some strategies, targets and suggestions for forestry development are put forw ard in this paper.

Key words: forestry division, fuzzy clustering analysis method, layout

中图分类号: