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中国崂山湾大型底栖动物群落对重金属污染的响应:基于特征的方法。

Response of macrobenthic communities to heavy metal pollution in Laoshan Bay, China: A trait-based method.

机构信息

The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao 266003, China.

First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China.

出版信息

Mar Pollut Bull. 2021 Jun;167:112292. doi: 10.1016/j.marpolbul.2021.112292. Epub 2021 Apr 16.

Abstract

The effects of multiple natural and anthropogenic stressors on the functional trait composition and diversity of marine macrobenthic communities in Laoshan Bay were investigated using biological trait analysis (BTA). Seven traits, including 27 trait modalities and four functional diversity indices (functional richness, functional evenness, functional divergence, and Rao's quadratic entropy), were considered. The results of RLQ (environmental variables (R), species taxa (L), and traits (Q)) and variance partitioning analysis (VPA) showed that the trait compositions and functional diversity of macrobenthic communities were influenced by a combination of stressors, among which heavy metals were the major factors. At the sites with high heavy metal pollution, the prevalent traits were infauna, burrower, and deposit feeder, whereas epifauna, carnivores and crawlers were dominant at the sites of low heavy metal contamination. The impact of natural environmental gradients on macrobenthic communities is also worthy of attention.

摘要

采用生物特征分析(BTA)方法研究了老挝湾多种自然和人为胁迫对海洋大型底栖动物群落功能特征组成和多样性的影响。共考虑了 7 个特征,包括 27 个特征模态和 4 个功能多样性指数(功能丰富度、功能均匀度、功能离散度和 Rao 二次熵)。RLQ(环境变量(R)、物种分类群(L)和特征(Q))和方差分解分析(VPA)的结果表明,大型底栖动物群落的特征组成和功能多样性受到多种胁迫的综合影响,其中重金属是主要因素。在重金属污染高的站点,普遍存在的特征是埋栖生物、穴居生物和沉积物摄食者,而在重金属污染低的站点,优势特征是附生生物、肉食者和爬行生物。自然环境梯度对大型底栖动物群落的影响也值得关注。

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