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测试海洋生物指数(AMBI)在评估南美洲大西洋地区软底栖生物群落生态质量方面的适用性。

Testing the applicability of a Marine Biotic Index (AMBI) to assessing the ecological quality of soft-bottom benthic communities, in the South America Atlantic region.

作者信息

Muniz Pablo, Venturini Natalia, Pires-Vanin Ana M S, Tommasi Luiz R, Borja Angel

机构信息

Sección Oceanología, Facultad de Ciencias, Iguá 4225, Montevideo 11400, Uruguay.

出版信息

Mar Pollut Bull. 2005 Jun;50(6):624-37. doi: 10.1016/j.marpolbul.2005.01.006. Epub 2005 Feb 25.

DOI:10.1016/j.marpolbul.2005.01.006
PMID:15935178
Abstract

Recently, several monitoring programmes have been undertaken to evaluate the impact of different anthropogenic activities, upon a range of coastal ecosystems located in the South-western Atlantic. In the present contribution, the applicability of the AZTI's Marine Biotic Index (AMBI) is tested, to establish the benthic health of the ecosystem using these data sets. As the AMBI was created previously for use in European estuarine and coastal environments, its general applicability to new geographical locations is discussed. In general, the results are in agreement with those obtained using traditional univariate and multivariate methods. Some inconsistent results are observed, when low abundances and/or number of taxa are recorded in the samples. Moreover, when the macrofauna samples are dominated by large nematodes, the classification of the benthic ecosystem health using AMBI is not consistent with previous results achieved applying other statistical techniques. Thus, parallel to the application of this index to a wider extend, the complementary use of different indices and/or methods is recommended to assess confidently the environmental quality of a coastal area.

摘要

最近,已经开展了若干监测项目,以评估不同人为活动对位于西南大西洋的一系列沿海生态系统的影响。在本论文中,测试了AZTI海洋生物指数(AMBI)的适用性,以便利用这些数据集确定生态系统的底栖生物健康状况。由于AMBI先前是为欧洲河口和沿海环境创建的,因此讨论了其在新地理位置的一般适用性。总体而言,结果与使用传统单变量和多变量方法获得的结果一致。当样本中记录到低丰度和/或低分类单元数量时,会观察到一些不一致的结果。此外,当大型底栖动物样本以大型线虫为主时,使用AMBI对底栖生态系统健康状况进行分类与先前应用其他统计技术所取得的结果不一致。因此,在更广泛应用该指数的同时,建议补充使用不同的指数和/或方法,以便可靠地评估沿海地区的环境质量。

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