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生态价值视角下土地最优利用研究——以郑州市为实证
宋剑1, 席增雷2,3
1.中共唐山市委党校,河北唐山 063000;2.天津大学环境科学与工程博士后流动站,天津 300072;3.河北大学经济学院,保定 071002
摘要:
[目的]试图探索能够直接应用于土地规划的方法思路与分析工具,为土地管理者和决策者提供分析和优化土地资源的参考。[方法]以郑州市为研究对象,采用计量公式计算、引用参考文献法得到土壤功能价值数据矩阵,将完整土壤功能价值指标数据导入因子分析模型,计算因子载荷矩阵,观察特征值及贡献率表,利用回归法计算样本综合得分。[结果]样本的各项土壤功能价值主要由4个主因子共同来决定,第一主因子为环境介质因子; 第二主因子为生态支持因子; 第三主因子为营养循环因子; 第四主因子为基础承载因子。[结论]综合得分排名靠前的大部分样本区域在4个主因子得分上均表现出较高的分数,实际规划中可以综合考虑使用目的、土质、地理区位、周边环境等因素权衡发展; 土壤的众多功能价值均比较高,但在第二主因子生态支持功能组上的优势最为明显的可规划为生态保护区; 在环境介质功能组上最有优势的,可优先发展农业和植被覆盖; 综合得分最低的区域大部分功能价值均较弱,规划中可适当考虑为建设承载区。
关键词:  生态价值 土地利用 因子分析
DOI:10.7621/cjarrp.1005-9121.20170522
分类号:
基金项目:
OPTIMAL LAND USE UNDER THE VIEW OF SOIL ECOLOGICAL VALUE
Song Jian1, Xi Zenglei2,3
1.Party School of CPC Tangshan Municipal Party Committee,Tangshan, Hebei 063000, China;2.Environmental Science and Engineering Post-doctoral Mobile Stations,Tianjin University,Tianjin 300072,China;3.School of Economics,Hebei University,Baoding 071002,China
Abstract:
objective of this paper is to explore a method which can be directly applied to land planning and analysis, and to provide a reference for land managers and policy makers. It established soil function value data matrix by the formula calculation and reference method, and then imported the soil function value index into the factor analysis model, calculated the characteristic value and contribution rate, and calculated the sample composite scores using the regression method. The results showed that soil function value was mainly composed of four main factors, i.e., the environment medium factor, ecological support factor, nutrient cycling factor, and basis load factor. The four main factors scored showed higher scores in the areas with higher comprehensive score. The balance development of the factors such assoil, geographical location, and surrounding environment should be considered in practical planning. The area with higher ecological function factor could be planned as ecological reserve region, while the area with higher environmental function could develop agriculture and improve vegetation cover. The lowest scores area could be appropriately considered as load bearing region.
Key words:  ecological value  land use  factor analysis