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江苏省土地利用变化特征与驱动机制研究()

《南京师范大学学报》(自然科学版)[ISSN:1001-4616/CN:32-1239/N]

卷:
第39卷
期数:
2016年03期
页码:
110
栏目:
·地理学·
出版日期:
2016-09-30

文章信息/Info

Title:
The Spatial-Temporal Characteristic of Land Use Changein Jiangsu and Its Driving Mechanism
文章编号:
1001-4616(2016)03-0110-08
作者:
徐冬冬倪金星黄震方陆梦秋
南京师范大学地理科学学院,江苏 南京 210023
Author(s):
Xu DongdongNi JinxingHuang ZhenfangLu Mengqiu
School of Geography Science,Nanjing Normal University,Nanjing 210023,China
关键词:
Keywords:
分类号:
F301
DOI:
10.3969/j.issn.1001-4616.2016.03.019
文献标志码:
A
摘要:
以江苏省为例,利用2000年和2010年的土地利用矢量数据,从土地利用类型的结构、土地利用动态度和转移方向等角度分析了江苏省土地利用变化特征,并利用江苏省社会经济类数据分析影响土地利用变化的驱动因素. 结果表明:(1)2000年-2010年,10年间江苏省城乡工矿居民用地大幅增加,扩张最为明显,水域面积尤其是水库坑塘面积也有明显增加,而耕地面积则大量减少,未利用土地中裸土地的土地利用动态度最大,变化最为剧烈.(2)从转移方向来看,耕地主要转向城乡工矿居民用地和水库坑塘用地;增加的城乡工矿居民用地主要来自耕地,其次是水域、林地和草地;水域用地中水库坑塘增加的面积主要来源于耕地、滩涂、草地和城乡工矿居民用地.(3)对江苏省土地利用类型变化影响较为显著的因素主要有经济发展、人口增长、产业结构和政府政策4个方面.
Abstract:
Taking Jiangsu province as an example,based on shapefile data of 2000 and 2010 of Jiangsu and with the technology of GIS,the paper revealed the characteristics of the land use change from the range and rate of land use change,the direction of land use transformation,and analyzed the driving factors of land use change by using socioeconomic data. The results showed that:(1)During 2000 and 2010,the expansion of construction land was most evident,the area of water,especially the reservoir and pond increased significantly. However,a mass of cultivated land reduced. From the single dynamic degree of land use,bare land increased rapidly and changed dramatically.(2)From transition matrix of the land use types,cultivated land was always an important source that converted to other land types such as construction land,reservoir and pond land;the source of construction land came from the conversion of cultivated land,which is the most important part,then water,forest land and grassland;the area of reservoir and pond increased from cultivated land,tidal-flat,grassland,construction land.(3)The driving mechanism of land use change in Jiangsu province can attribute to many factors such as the rapid population growth,economic development,industrial structure and government policy.

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更新日期/Last Update: 2016-09-30