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上海市崇明岛区生态承载力的空间分异

陈乐天1;王开运1;邹春静1,2;张桂莲3;巩晋楠1;葛振鸣1,2   

  1. 1华东师范大学资源与环境科学学院上海市城市化生态过程与生态恢复重点实验室, 上海 200062;2华东师范大学生命科学学院, 上海 200062;3 中国科学院上海生命科学院计算生物学研究所, 上海 200031
  • 收稿日期:2008-10-20 修回日期:1900-01-01 出版日期:2009-04-10 发布日期:2009-04-10

Spatial differentiation of ecological carrying capacity of Chongming Islands, Shanghai.

CHEN Le-tian1;WANG Kai-yun1;ZOU Chun-jing1,2;ZHANG Gui-lian3;GONG Jin-nan1;GE Zhen-ming1,2   

  1. 1Shanghai Key Laboratory of Urbanization and Ecological Restoration, School of Resource and Environment Science, East China Normal University, Shanghai 200062, China;2School of Life Science, East China Normal University, Shanghai 200062, China;3Institute of Computational Biology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
  • Received:2008-10-20 Revised:1900-01-01 Online:2009-04-10 Published:2009-04-10

摘要: 以生态岛建设为政策前提,建立了崇明岛区生态承载力评价指标体系,包括1个总目标、3个分目标和41个具体指标。根据崇明岛区1998—2004年统计年鉴与2005—2006年实际调查数据,建立了评价指标体系,并利用层次分析(AHP)法确定权重,运用状态空间模型评价历年生态承载力,利用GIS空间插值对数据进行了空间量化与生态承载力空间分异分析。结果表明:崇明岛区生态承载力总体处于可载水平,从3个分目标层看,环境纳污能力与资源供给能力较好,但人类支持能力较差;崇明岛区各功能区生态承载状况有明显差异,可根据各分区实际承载情况,发展不同特色产业。

关键词: 神经网络, 分级规划, 天然林保护, 规划举例, 倾斜因子

Abstract: According to the policy-decision of ecological island construction, and based on the 1998〖KG-*2〗-〖KG-*7〗2004 statistic yearbooks of Chongming Island and the investigation in 2005〖KG-*2〗-〖KG-*7〗2006, the evaluation index system of ecological carrying capacity of Chongming Island, Shanghai was established, which included one overall objective, 3 sub-objectives, and 41 indices. AHP method was used to evaluate the weights, State-Space Model was used to calculate ecological carrying capacity, and GIS spatial interpolation was used to analyze the spatial differentiation of ecological carrying capacity. The results showed that the overall ecological carrying capacity of Chongming Island was high, the environmental carrying capacity and resources supplying ability were good, while the human supporting ability was bad. Different function areas had different ecological carrying capacity, and various industries should be developed in accordance with their own practical status.

Key words: Neural network, Grade program, Natural forest protection, Program illustration, Inclining factor