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尾矿库渗漏污染水平呈梯度上升,使浮游植物和细菌之间的联系更加紧密。

Gradient rise in seepage pollution levels in tailings ponds shapes closer linkages between phytoplankton and bacteria.

机构信息

Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.

出版信息

J Hazard Mater. 2022 Sep 5;437:129432. doi: 10.1016/j.jhazmat.2022.129432. Epub 2022 Jun 21.

DOI:10.1016/j.jhazmat.2022.129432
PMID:35753300
Abstract

A large number of tailings ponds formed by slag accumulation have become serious environmental hazards. Spatially high potential energy and long-term accumulation may result in gradient-changing seepage pollution. The assemblages of phytoplankton and bacteria are widely used as assessment indicators. In this study, we investigate the changes in phytoplankton and bacterial assemblages in tailing pollution. The results showed that there are temporal and spatial variabilities in seepage pollution. The abundance and diversity of phytoplankton and bacteria decreased with increasing pollution. However, Synedra acus (diatom) and Polynucleobacter (bacteria) were positively correlated with pollution levels (r = 0.37, P < 0.05; r = 0.24, P < 0.05). Heavy metals are the main contributors to bacterial changes (16.46%), while nutrients are for algae (13.24%). Tailings pond pollution reduced the number of phytoplankton and bacterial linkages. However, more pollution broke the originally independent modules of phytoplankton and bacteria, and they produced more positive correlations (79.39%; 87.68%). Microcystis sp. and Limnobacter were the key nodes of the co-occurrence network in the polluted areas. Exploring the interactions between bacteria and phytoplankton within different pollution levels could provide insights into biological interaction patterns and the bioremediation of tailings ponds.

摘要

大量由矿渣堆积形成的尾矿池已成为严重的环境危害。空间上的高势能和长期积累可能导致渐变渗流污染。浮游植物和细菌的组合被广泛用作评估指标。在本研究中,我们研究了尾矿污染中浮游植物和细菌组合的变化。结果表明,渗流污染存在时空变异性。随着污染程度的增加,浮游植物和细菌的丰度和多样性减少。然而,针杆藻(硅藻)和聚球藻(细菌)与污染水平呈正相关(r = 0.37,P < 0.05;r = 0.24,P < 0.05)。重金属是细菌变化的主要贡献者(16.46%),而营养物质则是藻类(13.24%)。尾矿池污染减少了浮游植物和细菌联系的数量。然而,更多的污染打破了浮游植物和细菌原本独立的模块,产生了更多的正相关(79.39%;87.68%)。微囊藻属和 Limnobacter 是污染区域共现网络的关键节点。探索不同污染水平下细菌和浮游植物之间的相互作用,可以深入了解生物相互作用模式和尾矿池的生物修复。

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