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Spatial-temporal pattern and obstacle factors of cultivated land ecological security in major grain producing areas of Northeast China: A case study in Jilin Province.

ZHAO Hong-bo1,2, MA Yan-ji1   

  1. (1Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; 2University of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2014-02-18 Published:2014-02-18

Abstract: According to the cultivated land ecological security in major grain production areas of Northeast China, this paper selected 48 counties of Jilin Province as the research object. Based on the PSR-EES conceptual framework model, an evaluation index system of cultivated land ecological security was built. By using the improved TOPSIS, Markov chains, GIS spatial analysis and obstacle degree models, the spatial-temporal pattern of cultivated land ecological security and the obstacle factors were analyzed from 1995 to 2011 in Jilin Province. The results indicated that, the composite index of cultivated land ecological security appeared in a rising trend in Jilin Province from 1995 to 2011, and the cultivated land ecological security level changed from being sensitive to being general. There was a pattern of ‘Club Convergence’ in cultivated land ecological security level in each county and the spatial discrepancy tended to become larger. The ‘Polarization’ trend of cultivated land ecological security level was obvious. The distributions of sensitive level and critical security level with ribbon patterns tended to be dispersed, the general security level and relative security levels concentrated, and the distributions of security level scattered. The unstable trend of cultivated land ecological security level was more and more obvious. The main obstacle factors that affected the cultivated land ecological security level in Jilin Province were rural net income per capita, economic density, the proportion of environmental protection investment in GDP, degree of machinery cultivation and the comprehensive utilization rate of industrial solid wastes.