广西河池地区土地利用变化与社会经济发展水平关系的典范对应分析

论文以河池地区为例,采用CCA排序方法,研究了喀斯特地区土地利用格局变化与社会经济发展水平之间的相关关系。CCA排序结果清晰展现了河池地区11个县(市、区)的土地利用格局在社会经济发展水平约束下的时空变化。研究结果表明,随着社会经济总量的不断增长和人口的急剧增加,10多年来,河池地区不同县(市、区)发生变化的主导土地利用类型具有显著的差异性。在社会经济发展水平的约束下,经济快速发展的宜州市和金城江区以城乡建设用地的迅猛增加为主要特征,说明城市化的发展是以较为雄厚的经济基础为后盾的;而水域面积近10年来的大量增加主要表现在大化、巴马和东兰3县,体现了政府决策对于土地利用格局变化的重要指导作用,岩滩水电站的建立与扩建,是该3县水域面积快速增加的最直接的原因。因此,通过CCA排序分析可见,经济总量和人口的快速增长是河池地区土地利用变化的最主要驱动因素。

Canonical Correspondence Analysis of Land-use Change and Socio-economic Development in Hechi Prefecture, Guangxi Province

Taking Hechi prefecture as an example,this paper utilized the Canonical Correspondence Analysis(CCA)method to study the correlation between the change of land-use and the level of the socio-economic development in Karst areas.The result showed that the CCA method could preferably be used in the study on the socio-economic driving forces of the land-use change.The result of the CCA order exhibited clearly the temporal and spatial change of the land-use under the restriction of socio-economic development in 11 counties in Hechi prefecture.This indicated that with the increase of socio-economic gross and the dramatic growth of population,the changes of dominant land-use types had significant differences between different counties in Hechi in resent 10 years.Under the restriction of the socio-economic development,the rapid economic development in both Yizhou city and Jinchengjiang district,characterized by fast expansion of the construction land in urban and rural areas in 10 years accounted for the development of urbanization based on the solid economy.The water areas increased quickly in Dahua,Bama and Donglan counties in 10 years,embodying the important guidance of the government decision.The construction and expansion of the Yantan hydro-electric station is the main and direct reason for the increase of the water areas in the three counties.The CCA showed that it was still in the development period of developing agriculture and constructing town at the cost of destroying forest.Both the increase of socio-economic gross and the drametic growth of population were the direct driving forces and the main factors.