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基于PSR模型的九段沙湿地生态系统健康评价
引用本文:任晶,孙瑛,陈秀芝,樊正球.基于PSR模型的九段沙湿地生态系统健康评价[J].湿地科学与管理,2012(4):12-16.
作者姓名:任晶  孙瑛  陈秀芝  樊正球
作者单位:上海市九段沙湿地自然保护区管理署;复旦大学环境科学与工程系
基金项目:世界自然基金会《长江河口九段沙岛生态健康计分卡及保护区发展建议书》项目资助
摘    要:以长江口九段沙湿地为例,运用湿地生态系统健康理论和压力-状态-响应(PSR)模型对湿地生态系统的健康进行了诊断评价。首先从湿地面临的压力、生态系统现状以及相应的管理对策等3个层面选取了30个评价指标,构建了九段沙湿地生态系统健康的评价体系。然后通过定量与定性相结合将指标分为5个等级,最后运用综合指数法对九段沙湿地生态系统健康综合指数进行计算。结果表明,九段沙湿地健康综合评价指数为0.77,处于健康状态。同时,九段沙湿地目前所面临压力的评价值为0.707,尚处于能够承受的范围,其主要压力来自于渔业资源无序过度捕捞、外来物种入侵、环境污染、长江来沙量锐减等方面。

关 键 词:九段沙  湿地  PSR模型  健康评价

An Assessment of Ecosystem Health in Jiuduansha Wetland based on PSR Model
REN Jing,SUN Ying,CHEN Xiu-Zhi,FAN Zheng-Qiu.An Assessment of Ecosystem Health in Jiuduansha Wetland based on PSR Model[J].Wetland Science & Management,2012(4):12-16.
Authors:REN Jing  SUN Ying  CHEN Xiu-Zhi  FAN Zheng-Qiu
Institution:1 Shanghai Jiuduansha Wetland National Nature Reserve,Shanghai 200136; 2 Department of Environmental Science and Engineering,Fudan University,Shanghai 200433)
Abstract:Ecosystem health of Jiuduansha wetland was diagnosed and evaluated, based on the theories and approaches of the wetland ecosystem health and the pressure-state-response model. Firstly, a health assessment index system including 30 indicators on Jiuduansha wetland was proposed by taking into account of three aspects: the pressure imposed on the wetland, the current status of ecosystem and corresponding management measures. Then the indices were classified into five levels based on combined quantitative and qualitative method and the comprehensive assessment index of Jiuduansha wetland ecosystem health was calculated. The results showed that the comprehensive assessment index was 0.77, revealing that Jiuduansha was in a health state. Meanwhile, the pressure index was 0.707, suggesting that pressure is still at an acceptable level of sustainability. The pressures mainly come from disordered overfishing, invasion of exotic plants, environmental pollution and sharp reduction of sedimentation from the Yangtze River.
Keywords:Jiuduansha  Wetland  PSR model  Ecosystem Health
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