GEOGRAPHICAL RESEARCH ›› 2009, Vol. 28 ›› Issue (4): 1022-1030.doi: 10.11821/yj2009040016

• Environment and Ecology • Previous Articles     Next Articles

Spatial identification and representation of the core ecosystem services in Poyang Lake area

ZHAN Jin-yan1, SHI Na-na1, DENG Xiang-zheng2,3   

  1. 1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Center for Chinese Agricultural Policy, CAS, Beijing 100101, China
  • Received:2009-01-14 Revised:2009-03-21 Online:2009-07-25 Published:2009-07-25
  • Supported by:

    国家自然科学基金项目(40801231)、科技部国家科技支撑项目 (2006BAC08B03;2006BAC08B06)、中国科学院知识创新工程重要方向项目(KZCX2-YW-305-2)与北京师范大学青年基金项目。


Based on the assessment framework of Millennium Ecosystem Assessment (MA), considering the shaping forming mechanism of ecosystem services in Poyang Lake area, we constructed the evaluation index system for ecosystem services in Poyang Lake area. By using the 1km grid percentage data model, we carried out the principal component analysis to extract the principal factors characterizing the core ecosystem services of the Poyang Lake area. On this basis, the spatial clustering analysis was done to identify and delimitate the zoning boundary of ecosystem services in the Poyang Lake area and the ecosystem services of each district was spatially identified. The research results show that the core ecosystem services in the Poyang Lake area include supporting function, provisioning function, regulating function and cultural function in 1km by 1 km grid pixels. And then ten functional zones of ecosystem services are generated, and the spatial heterogeneity of the core ecosystem services on different administrative divisions in the Poyang Lake area was identified and presented. The application of the spatial zoning scheme of the core ecosystem and its spatial identification can provide both spatially and temporally valuable information for ecosystem management in the Poyang Lake area.

Key words: functional zones, principal component analysis, spatial clustering analysis, spatial identification, Poyang Lake area