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大型底栖动物组合的功能多样性作为评估中国渤海重金属污染的指标。

Functional diversity of macrofaunal assemblages as indicators to assess heavy metal pollution in the Bohai Sea, China.

机构信息

College of Marine Life Sciences and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao 266003, China; Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao 266003, China.

College of Marine Life Sciences and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao 266003, China; Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao 266003, China.

出版信息

Mar Pollut Bull. 2022 Dec;185(Pt A):114265. doi: 10.1016/j.marpolbul.2022.114265. Epub 2022 Oct 22.

Abstract

Functional diversity of macrofaunal assemblages can reflect the composition and differences of functional traits, indicating their response to various contaminants, especially heavy metal pollution. We explored the effects of environment variables over gradients of heavy metal pollution on macrofaunal assemblages, using biological traits analysis, generalized linear model (GLM), AZTI marine biotic index (AMBI), and various biodiversity indexes. The RLQ (co-inertia analysis) and fourth-corner approaches were used to investigate the specific response of functional traits to heavy metal pollution. Most sites were environmentally degraded by heavy metal pollution and macrofaunal body size had a miniaturization trend. There was a significant correlation between functional diversity indexes and AMBI. The RLQ and fourth-corner analysis and GLM models showed that heavy metal and natural environmental gradients had a profound effect on functional diversity. The functional divergence and dispersion indexes, along with the abundance of some specific species, were appropriate indexes for heavy metal pollution.

摘要

大型底栖动物组合的功能多样性可以反映功能特征的组成和差异,表明它们对各种污染物的响应,特别是重金属污染。我们利用生物特征分析、广义线性模型(GLM)、AZTI 海洋生物指数(AMBI)和各种生物多样性指数,探讨了重金属污染梯度下环境变量对大型底栖动物组合的影响。我们使用 RLQ(共协方差分析)和四角分析方法来研究功能特征对重金属污染的特定响应。大多数站点受到重金属污染的环境退化,大型底栖动物的体型有小型化的趋势。功能多样性指数与 AMBI 之间存在显著相关性。RLQ 和四角分析以及 GLM 模型表明,重金属和自然环境梯度对功能多样性有深远的影响。功能离散和分散指数以及一些特定物种的丰度是重金属污染的合适指标。

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