Quantitative Classification of Forestry Division in Ceheng County

To determine the main functions of regional forest and focus of forestry construction to form the regional forestry economy with characteristics and ecological service system pattern with obvious advantages,we select some indicators on Ceheng County in Guizhou Province, such as natural geography,socio-economic conditions,ecological environment and forests status. Using the quantitative classification method combining factor analysis and system clustering,we conduct quantitative county level forestry division. The results show that first using factor analysis to establish factor analysis model,and then using a handful of factors loading large amounts of information to carry out system clustering,is an effective quantitative classification method of forestry division,which can not only overcome the weakness of previous division mainly focusing on qualitative analysis,but also eliminate the correlation between indicators in the conventional classification methods; through the factor analysis of 30 indicators influencing the forestry development of each township in Ceheng County,the factor analysis model is established,6 factors loading 89. 94 5% of information amount are used to conduct system clustering on 14 townships in Ceheng County,and finally Ceheng County can be divided into five zones. This study not only enriches the theory of forestry division,but also provides reference for the forestry planning in Guizhou and division of related industries.

内蒙古林西县生态经济分区与发展对策研究

以位于北方农牧交错带的内蒙古林西县16个乡镇为样本,利用因子分析方法对所选指标体系进行筛选,从26项指标中筛选出7项综合指标,消除了由于各因子的相互作用引起的噪音干扰,降低各因子之间的重叠性。在此基础上,根据生态经济区划分的相似性原则、区域共轭性原则和自然区域完整性原则,运用灰色星座聚类法对研究区生态经济系统进行聚类分区,林西县生态经济系统可以划分为3大区域:中东部河谷平川粮食经济作物区、中南部低山丘陵牧粮综合发展区及西北部中山牧粮果水保林区。排序检验的结果表明聚类结果基本正确,能较好地反映研究区农业生态经济类型的客观状况。最后,根据各分区不同的生态经济特征,对各区的开发对策及今后的发展方向进行了详细的分析与评述。图1,表5,参6。