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利用AMBI和M-AMBI评估长江河口底栖生态状况

[Assessing the benthic ecological status in Yangtze River Estuary using AMBI and M-AMBI].

作者信息

Cai Wen-qian, Meng Wei, Liu Lu-san, Zhu Yan-zhong, Zhou Juan

机构信息

College of Water Sciences, Beijing Normal University, Beijing 100875, China.

出版信息

Huan Jing Ke Xue. 2013 May;34(5):1725-34.

Abstract

Both AMBI and M-AMBI could effectively assess the benthic ecological status of estuaries and coastal systems with soft sediments, and show the response of benthic communities to human pressures and natural changes. To monitor the ecological status of Yangtze River Estuary, macroinvertebrate samples and environmental data were collected in April 2009. Results showed that the benthic habit of Yangtze River Estuary was disturbed to various degrees, especially in the watersheds of Hangzhou Bay, coastal areas of Zhoushan islands and in the inner part of Yangtze River Estuary, which was related to land resourced discharges, eutrophication and large amounts of coastal projects. No significant difference was found between the calculation results of AMBI and M-AMBI based on density and biomass, as indicated by one-way Analysis of Variance (ANOVA). Compared with AMBI, M-AMBI could be more effective to assess the ecological status of Yangtze River Estuary because M-AMBI matched the community structure and environmental variables better. Moreover, according to results of Pearson correlation and linear regression analysis, significant negative relationships were found between the eutrophication index both in the surface and bottom water layers and M-AMBI, but no significant relationship was found between the eutrophication index and AMBI. Therefore, M-AMBI could be more suitable in indicating the eutrophication stress of Yangtze River Estuary.

摘要

AMBI和M-AMBI都能有效评估河口和软质沉积物海岸系统的底栖生态状况,并显示底栖生物群落对人类压力和自然变化的响应。为监测长江河口的生态状况,于2009年4月采集了大型无脊椎动物样本和环境数据。结果表明,长江河口的底栖生境受到了不同程度的干扰,尤其是在杭州湾流域、舟山群岛沿海地区以及长江河口内部,这与陆地资源排放、富营养化和大量沿海工程有关。基于密度和生物量的AMBI和M-AMBI计算结果经单因素方差分析(ANOVA)表明,二者无显著差异。与AMBI相比,M-AMBI在评估长江河口生态状况方面可能更有效,因为M-AMBI与群落结构和环境变量的匹配度更好。此外,根据Pearson相关性和线性回归分析结果,表层和底层水体的富营养化指数与M-AMBI之间均存在显著负相关,但富营养化指数与AMBI之间未发现显著关系。因此,M-AMBI可能更适合用于指示长江河口的富营养化压力。

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