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应用生态学报 ›› 2016, Vol. 27 ›› Issue (10): 3290-3298.doi: 10.13287/j.1001-9332.201610.033

• 目次 • 上一篇    下一篇

东北粮食主产区农业生态系统健康格局与因子诊断——以吉林省为例

赵宏波1,2, 郑辉2*, 苗长虹1,2, 邵田田1,2, 冯渊博1   

  1. 1河南大学黄河文明与可持续发展研究中心暨黄河文明传承与现代文明建设河南省协同创新中心, 河南开封 475001;
    2河南大学环境与规划学院, 河南开封 475001;
  • 收稿日期:2016-02-29 发布日期:2016-10-18
  • 通讯作者: * E-mail: zhenghui842@163.com
  • 作者简介:赵宏波,男,1985年生,博士,讲师. 主要从事经济地理与区域发展研究. E-mail: zhaohbhhwm@163.com
  • 基金资助:
    本文由国家自然科学基金项目(41501128,41430637)、中国博士后科学基金面上项目(2015M582181)和河南省高等学校重点科研项目(15A790010,15A420003)资助

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).

摘要: 运用生态系统健康的理论与方法研究粮食主产区农业生态系统健康问题具有重要的意义,以东北粮食主产区的典型区域吉林省为研究对象,基于构建的胁迫-状态-免疫(S-S-I)与活力-结构组织-恢复力(V-O-R)农业生态系统健康评价指标体系,运用最优组合赋权法、综合评价模型、GIS空间分析技术和灰色斜率相似关联度诊断模型对2000—2011年吉林省农业生态系统健康的时空格局以及影响因子进行分析.结果表明: 时间特征上,2000—2011年吉林省农业生态健康等级从“不健康级”状态向“较健康级”状态转变,农业生态系统健康水平正逐步提高.空间特征上,2000—2011年吉林省农业生态系统健康状况空间差异日益显著,中部地区的农业生态健康水平保持不变,东南部与西部正逐渐提高.吉林省农业生态系统健康水平提高的主要贡献因子是经济驱动、环境治理与社会发展,主要障碍因子是生态压力、组织结构与投入能力等.最后,提出相关措施进一步改善区域农业生态系统健康状况.

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.