Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province

ZHU Chuan-min; HUANG Ya-dan; WU Jia; PENG Qiong

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Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province

- Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province
- Bulletin of Soiland Water Conservation Vol. 31, Issue 4, Pages: 288-291(2012)
- 作者机构：
  
  东华理工大学地球科学学院江西省数字国土重点实验室,江西,抚州,344000
- 作者简介：
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- Published：2012
- 稿件说明：
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ZHU Chuan-min, HUANG Ya-dan, WU Jia, et al. Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 288-291.
DOI：

ZHU Chuan-min, HUANG Ya-dan, WU Jia, et al. Analyzing Regional Pattern of Cultivated Land Change on County Scale in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 288-291. DOI：

摘要

以县域为基本空间单元，借助GIS技术，利用探索式空间数据分析(ESDA)相关理论，对江西省耕地数量变化的区域差异格局、特征与驱动机制进行了研究．结果表明，经全局空间自相关指数Moran′s I值计算，研究期内区域耕地数量变化的差异呈现出一定的空间集聚特征，且有进一步集聚的趋势；各县域Local Moran′s I反映了耕地变化在局域空间上具有一定的均质性，"北部平原—周边山区—内部岗丘"的区域化分异特征；局域空间自相关(LISA)的4种集聚类型中，正相关的"高—高"和"低—低"类型占主体部分，约占60%．其中，"高—高"关联的主要有北部平原区、周边部分山区县，而赣东南西三面群山向内部平原过渡的岗地、丘陵地区等则表现出一定的"低—低"关联特征．不同类型区，影响耕地数量变化的主导因素有所不同．

Abstract

Based on global and local spatial autocorrelation analyses of exploratory spatial data

this study an-alyzed regional pattern and driving forces of cultivated land use change in Jiangxi Province from 1980 to 2007 by adopting GIS technology and Geoda software. The results indicate that during 1980-2007

the global spatial autocorrelation of cultivated land change in the study area was significant

as shown by the value of Global Moranrs I. The changes of cultivated land in Jiangxi Province displayed a clear spatial clustering effect along with a spatial homogeneity within individual zones such as northern plain

surrounding mountains

and inner hills. The majority of the counties had a positive spatial correlation in land use change. Specifically

＂high-high＂ correlations were mainly found in the northern plain and surrounding mountains of the province

while ＂low-low＂ correlations were found in the hilly areas. The main driving forces influencing cultivated land change varied in different regions.

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