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基于不同指示生物的河流健康评价研究进展

周上博1,2,袁兴中1,2**,刘红1,2,张跃伟1,2,任海庆1,2   

  1. 1重庆大学资源及环境科学学院, 重庆 400030; 2西南资源开发及环境灾害控制工程教育部重点实验室, 重庆 400030)
  • 出版日期:2013-08-10 发布日期:2013-08-10

River health assessment based on different biological indicators: A review.

ZHOU Shang-bo1,2, YUAN Xing-zhong1,2**, LIU Hong1,2, ZHANG Yue-wei1,2, REN Hai-qing1,2   

  1. (1College of Resource and Environmental Science, Chongqing University, Chongqing 400030, China; 2Key Laboratory of Southwest Resource Exploitation and Environmental Disaster Controlling Engineering of Ministry of Education, Chongqing 400030, China)
  • Online:2013-08-10 Published:2013-08-10

摘要:

为了全面客观地反映人为干扰对河流生态系统的影响,不同国家和地区基于鱼类、硅藻、大型无脊椎动物等水生生物对人为干扰的生态响应,采用其中一种或多种水生生物建立了一系列能够反映当地河流健康状况的评价方法,其中基于鱼类的评价仍然注重生物完整性指数(index of biotic integrity)的完善和应用; 基于藻类的河流健康评价应用范围较为广泛; 在所有评价方法中,基于大型无脊椎动物的河流健康评价仍然占据主导地位。在评价指标体系的构建上,除了在群落结构和功能层面上评价河流健康外,还建立了基于科、属、种等各级生物分类单元的评价方法。在基于各类指示生物的评价方法中,多指标评价方法是目前河流健康评价最为常见的方法,但多指标评价方法对指标之间信息冗余程度的考虑还比较欠缺,指标体系能否长期使用还有待进一步探索。
 

关键词: 间断趋势分析, 松嫩草地, 气候变化, 极端气候事件, 时空变化

Abstract: In order to comprehensively and objectively reflect the impacts of human disturbances on river ecosystems, various countries and regions have set up a series of river health assessment methods based on the ecological responses of fish, diatom, and macroinvertebrates to the human disturbances. Among these assessment methods, the methods based on fish still pay attention to the application and perfection of the index of biotic integrity, those based on diatom have a wider application, and the methods based on macroinvertebrates are still at the leading place. As for the construction of indicator systems, in addition to the evaluation at the levels of community structure and function, the evaluation based on biological taxonomy (family, genera and species) is made. At present, the multivariate assessments of the ecological responses of aquatic organisms to human disturbances are the most common assessment methods, but the methods tend to lack consideration of information redundancy among the various indicators. The longterm use of the indicator systems should be further studied.

Key words: extreme climatic events, break trend analysis, temporal and spatial variations, climate change, Songnen Grassland.