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受多西河流影响的海洋底栖生物群落(西南大西洋):矿业灾难前的基线。

Marine benthic communities affected by the Doce River (southwestern Atlantic): Baseline before a mining disaster.

机构信息

Laboratório de Invertebrados Marinhos do Ceará, Departamento de Biologia, Universidade Federal do Ceará (UFC), Campus do Pici, 60.455-760 Fortaleza, Ceará, Brazil; Instituto de Ciências do Mar (LABOMAR), Universidade Federal do Ceará (UFC), Av. Abolição 3207, Meireles, 60.165-081 Fortaleza, Ceará, Brazil.

Instituto de Ciências do Mar (LABOMAR), Universidade Federal do Ceará (UFC), Av. Abolição 3207, Meireles, 60.165-081 Fortaleza, Ceará, Brazil.

出版信息

Mar Pollut Bull. 2018 Oct;135:1000-1006. doi: 10.1016/j.marpolbul.2018.08.020. Epub 2018 Aug 20.

DOI:10.1016/j.marpolbul.2018.08.020
PMID:30300993
Abstract

Prior to Brazil's worst environmental disaster, caused by a mining dam collapse, we had carried out a study of the marine benthic macrofauna (11-51 m depth) under the influence of the Doce River. Our results showed significant diversity, in which mollusks, polychaetes, and crustaceans had the highest frequency, density, and abundance, represented by 162 families in summer and 173 in winter. Our results suggested that richness, abundance, and diversity increase with distance from the coast. Furthermore, with increasing distance from the coast and river mouth, in addition to increasing depth, there was a differentiation in composition and abundance. Multivariate analyses showed depth, carbonate, and organic matter as important factors that explain variations in composition and diversity across the continental shelf. The results could provide an invaluable baseline for measuring the effects on shallow and mesophotic communities of one of the largest tailings dam failures worldwide.

摘要

在巴西发生最严重的环境灾难(由采矿大坝溃坝引起)之前,我们曾对多斯雷斯河影响下的海洋底栖大型动物群(11-51 米深)进行过研究。我们的研究结果显示,这里的生物多样性显著,其中软体动物、多毛类环节动物和甲壳类动物的出现频率、密度和丰度最高,夏季有 162 个科,冬季有 173 个科。我们的研究结果表明,丰富度、丰度和多样性随着与海岸的距离而增加。此外,随着与海岸和河口的距离增加,除了深度增加外,组成和丰度也出现了分化。多元分析表明,深度、碳酸盐和有机物是解释大陆架上组成和多样性变化的重要因素。这些结果可以为测量全球最大尾矿坝溃坝之一对浅海和中层社区的影响提供宝贵的基线。

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