›› 2017, Vol. 29 ›› Issue (8): 1365-1374.DOI: 10.3969/j.issn.1004-1524.2017.08.19

• Environmental Science • Previous Articles     Next Articles

Spatial distribution features of cultivated land quality based on spatial autocorrelation: A case study of Nanchang County, Jiangxi Province

ZHANG Han1, 2, 3, ZHAO Xiaomin1, 3, 4, *, KUANG Lihua4, GUO Xi1, 2, 3, LI Weifeng1, 2, OUYANG Zhencheng1, 2, HUANG Cong1, 2, WANG Xiaoyan1, 2, YE Yingcong1, 2   

  1. 1. Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University / Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Nanchang 330045, China;
    2. School of Environmental and Land Resource Management, Jiangxi Agricultural University, Nanchang 330045, China;
    3. Institute of Land Science, Jiangxi Agricultural University, Nanchang 330045, China;
    4. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2017-02-27 Online:2017-08-20 Published:2017-09-06

Abstract: In order to understand and analyze the spatial characteristics of cultivated land quality, and to improve the quality of cultivated land construction and the new pattern of cultivated land protection, weighted average method, the index of concentration, fractal dimension and spatial autocorrelation analysis were adopted in the present study, and Nanchang County was selected as the study area to explore the differences of spatial characteristics of cultivated land quality from county and township-level scales by introducing the land natural grade index, use grade index and economical grade index as space variables and taking map spot of cultivated land as unit of spatial autocorrelation analysis. It was shown that the cultivated land quality index was high in southwest and low in northeast in Nanchang County. The Moran‘s I value decreased as land natural grade index>economical grade index>use grade index. Different types of cultivated land quality index had different spatial correlation under different spatial scales, and the influence spatial scales on land index decreased as land natural index>economical grade index>use grade index. The positive spatial autocorrelation of cultivated land which contained the High-High type and the Low-Low type emerged as the shape of cluster and had a powerful agglomeration in the form of group, while the negative spatial autocorrelation which included the High-Low type and Low-High type was fragmentary in distribution. Considering the spatial autocorrelation type of cultivated land quality in Nanchang County, the cultivated land was divided into 3 monitoring division, i.e. regular monitoring region, comprehensive monitoring region and key monitoring region. These findings would provide references for the monitoring of regional cultivated land quality, the determination of dominant limiting type order, protection of cultivated land and management of partition, quality improvement and optimization of the spatial allocation of land.

Key words: cultivated land quality, spatial distribution, spatial autocorrelation, monitoring division, Nanchang County

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