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Chinese Journal of Applied Ecology ›› 2016, Vol. 27 ›› Issue (10): 3290-3298.doi: 10.13287/j.1001-9332.201610.033

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Spatial-temporal pattern and factor diagnoses of agroecosystem health in major grain producing areas of Northeast China: A case study in Jilin Province

ZHAO Hong-bo1,2, ZHENG Hui2*, MIAO Chang-hong1,2, SHAO Tian-tian1,2, FENG Yuan-bo1   

  1. 1Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, Henan, China;
    2College of Environment and Planning, Henan University, Kaifeng 475001, Henan, China;
  • Received:2016-02-29 Published:2016-10-18
  • Contact: * E-mail: zhenghui842@163.com
  • Supported by:
    This work was supported by the Project of National Natural Science Foundation of China (41501128,41430637), the China Postdoctoral Science Foundation (2015M582181) and the Key Research Project of Institution of Higher Education of Henan Province (15A790010, 15A420003).

Abstract: It is of great significance to study agroecosystem health in major grain producing areas based on the theory and method of ecosystem health. This paper selected Jilin Province as the study area, and an evaluation index system of agroecosystem health was built based on the SSI-VOR conceptual framework model. Using the optimal combined weights method, comprehensive evaluation assessment, GIS spatial analysis and grey slope similarity incidence models, the spatial-temporal pattern of agroecosystem health and influence factors were analyzed from 2000 to 2011 in Jilin Pro-vince. The results indicated that, temporally, the composite index of agroecosystem health showed a rising trend in Jilin Province from 1995 to 2011, and the agroecosystem health level changed from not healthy to relatively healthy; spatially, the spatial discrepancy of agroecosystem health level tended to become larger, which remained unchanged in central area, while was gradually improved in southeast and west. The main contributors which improved the agroecosystem health level were economic driving force, environmental management and social development, while the main ‘dragging’ factors were ecological pressure, organization structure and input capacity. Finally, relevant measures were put forward to improve the agroecosystem health condition.