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Function rather than structure of phytoplankton community reveals changes of water quality in an ecological restored lake

文献类型： 外文期刊

作者： Hu, Caiqin 1 ; Xie, Changxin 1 ; Yang, Wanling 1 ; Liu, Qianfu 1 ; Gao, Yuan 1 ; Zeng, Yanyi 1 ; Li, Haiyan 1 ; Sun, Jinhui 4 ; Wang, Chao 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Pearl River Fisheries Res Inst, Guangzhou 510380, Guangdong, Peoples R China

2.Minist Agr & Rural Affairs, Fishery Ecol Environm Monitoring Ctr Pearl River B, Guangzhou 510380, Peoples R China

3.Guangzhou Sci Observing & Expt Stn Natl Fisheries, Guangzhou 510380, Peoples R China

4.Tianjin Agr Univ, Tianjin Key Lab Aqua Ecol & Aquaculture, Tianjin 300384, Peoples R China

5.Guangdong Prov Key Lab Aquat Anim Immunol & Sustai, Guangzhou 510380, Peoples R China

关键词： Phytoplankton community composition; Ecological indicators; Ecological restoration; Predictive model; Point source pollution

期刊名称：ENVIRONMENTAL MONITORING AND ASSESSMENT （ 影响因子：3.0； 五年影响因子：3.1 ）

ISSN： 0167-6369

年卷期： 2024 年 196 卷 3 期

页码：

收录情况： SCI

摘要： Although phytoplankton is well known as robust bioindicators to aquatic environments, their indicating functions based on different community parameters remain to be understood. In order to filter effective bioindicators in aquatic ecosystems, four phytoplankton community parameters including species richness (SR), total biomass (SBP), functional groups (FGBP), and size-fractionated chlorophyll-a (SC) were demonstrated in a subtropical artificial lake with ecological restoration in South China. Our results indicated that all the above four parameters exhibited high sensitivity to environmental variations and illustrated distinct aspects of indicating functions to aquatic environments due to their individual biological characteristics. Based on FGBP, both spatial and temporal differences in phytoplankton community could be identified. SR and SBP only classified the spatial and temporal distributions, respectively, while SC could distinguish the sewage outfalls from other sites. In terms of ecological management, two parameters (SR and FGBP) could distinguish the restored waters from untreated environments as non-point source pollution, and another parameter SC could indicate the sewage outfalls as point source pollution. Therefore, the combination of the above two categories of phytoplankton community parameters could make the strongest indicating functions. Our study provided greater insight into indicating functions of phytoplankton community parameters in an ecological restored lake and enabled better managements in such artificial lakes.

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