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

Caiqin Hu, Changxin Xie, Wanling Yang, Qianfu Liu, Yuan Gao, Yanyi Zeng, Haiyan Li, Jinhui Sun, Chao Wang
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Abstract

Abstract Although phytoplankton are well known as robust bioindicators to aquatic environments, their indicating functions based on different community parameters remain to be understood. In order to filtering effective bioindicators to aquatic ecosystems, four phytoplankton community parameters including species richness (SR), total biomass (SBP), functional groups (FGBP) and size-fractionated chlorophyll-a (SC) were demonstrated and tested 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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浮游植物群落的功能而非结构揭示了生态恢复湖泊水质的变化
摘要浮游植物是水生环境的强大生物指示因子,但其基于不同群落参数的指示功能尚不清楚。为了筛选水生生态系统的有效生物指标,对华南某亚热带生态恢复人工湖浮游植物群落的物种丰富度(SR)、总生物量(SBP)、功能群(FGBP)和大小分异叶绿素a (SC) 4个参数进行了论证和测试。结果表明,上述4个参数对环境变化均表现出较高的敏感性,且由于其各自的生物学特性,对水生环境具有不同的指示功能。基于FGBP,可以识别浮游植物群落的时空差异;SR和SBP仅对时空分布进行分类;而SC可以将污水排放与其他地点区分开来。在生态管理方面,两个参数(SR和FGBP)可以将恢复水体与未处理环境区分为非点源污染,另一个参数SC可以将排污口区分为点源污染。因此,上述两类浮游植物群落参数的组合可以发挥最强的指示功能。本研究对生态恢复湖泊中浮游植物群落参数的指示功能提供了更深入的认识,并有助于对此类人工湖进行更好的管理。
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