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Responses of freshwater algal cell density to hydrochemical variables in an urban aquatic ecosystem, northern China

机译:中国北方城市水生生态系统中淡水藻细胞密度对水化学变量的响应

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In this paper, the algal cell density of cyanobacteria, green algae, and diatoms and their responses to the hydrochemical factors were analyzed to reveal the structural characteristics of water quality in an urban river. A total of nine sampling sites from upstream to downstream was explored in our study. At each site, the density of algae was identified every week during the wet season (June–October) from 2012 to 2017, and in situ detection was used for the relative 11 hydrochemical variables. The temporal and spatial characteristics of 14 variables were analyzed using a heatmap coupled with the cluster analysis method. The trend of each parameter was analyzed using the smoothing method with locally weighted regression. The nonmetric multidimensional scaling method was employed to detect the temporal and spatial similarities among algae along hydrochemical gradients. The responses of algal density to hydrochemical variables were analyzed using a redundancy analysis. The results showed that the water temperature (W~(temp)), pH, dissolved oxygen (DO), cyanobacteria, and diatoms exhibited significant declining trends, and significant increasing trends were shown in the permanganate index, chemical oxygen demand, total nitrogen, ammonia nitrogen, and total phosphorus; the cyanobacteria exhibited certain differences with green algae and diatoms in summer and the downstream areas of the river. The temporal-spatial homogeneity of algal to hydrochemical variables showed the key influencing factors of W~(temp)for cyanobacteria density, chlorophyll for green algae density, DO, and pH for diatoms. The results presented here are valuable for deepening our understanding of river ecosystem evaluations and effective environmental management, as well as an important reference for the sustainable development of aquatic biological resources.
机译:本文分析了蓝藻,绿藻和硅藻的藻细胞密度及其对水化学因子的响应,以揭示城市河流水质的结构特征。在我们的研究中,总共探索了从上游到下游的9个采样点。在每个站点,从2012年至2017年的湿季(6月至10月),每周都要检测一次藻类的密度,并使用原位检测法检测了11个相对的水化学变量。使用热图和聚类分析方法分析了14个变量的时空特征。使用局部加权回归的平滑方法分析每个参数的趋势。采用非度量多维标度方法来检测藻类沿水化学梯度的时间和空间相似性。使用冗余分析来分析藻类密度对水化学变量的响应。结果表明,水温(W〜(temp)),pH,溶解氧(DO),蓝细菌和硅藻呈现出明显的下降趋势,高锰酸盐指数,化学需氧量,总氮,氨氮和总磷;在夏季和河流下游地区,蓝细菌与绿藻和硅藻表现出一定的差异。藻类对水化学变量的时空均匀性显示了影响蓝藻密度的W〜(temp),绿藻密度的叶绿素,硅藻的DO和pH的关键影响因素。此处提出的结果对于加深我们对河流生态系统评价和有效环境管理的理解,以及对水生生物资源可持续发展的重要参考。

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