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In situ variations and relationships of water quality index with periphyton function and diversity metrics in Baiyangdian Lake of China

机译:中国百阳湖湖泊水质指标水质指标与中国百阳湖中的水质指数关系

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摘要

The variations and associations of abiotic and biotic variables in Baiyangdian Lake, China, were analyzed in situ. Abiotic variables included eleven water quality parameters, and were characterized by water quality index (WQI). Biotic variables included periphyton function and diversity metrics. WQI differed in different seasons at sampling sites and the highest value of WQI was observed in October 2009. Periphyton function metrics, expressed by extracellular enzyme activities of alkaline phosphatase, β-glucosidase and leucine aminopeptidase, gross primary productivity and daily respiration rate, and diversity indices, in terms of Shannon diversity index and Berger-Parker abundance index, showed significantly temporal and spatial variations. Regression linear analysis illustrated a fairly good correlation of WQI with periphyton function and diversity indices, Shannon diversity index was the best correlated with WQI (r = 0.904, P < 0.01), followed by leucine aminopeptidase (r = -0.847, P < 0.01) and Berger-Parker abundance index (r = -0.840, P < 0.01), alkaline phosphatase, β-glucosidase and gross primary productivity also showed a good inverse correlation with WQI. Redundancy analysis suggested that eleven environmental variables explained a significant amount of the variation in the periphyton community data. The study was helpful for us to understand chemical and ecological status of water quality, and give us messages for monitoring water quality accurately.
机译:原位分析了非阳湖湖中非生物学和生物变量的变化和协会。非生物变量包括十一水质参数,并以水质指数(WQI)为特征。生物变量包括Periphyton功能和多样性度量。 WQI在抽样场所的不同季节不同,并且在2009年10月观察到WQI的最高价值。珀西顿功能度量,由碱性磷酸酶,β-葡糖苷酶和亮氨酸氨基肽酶的细胞外酶活性表达,初级生产率和日常呼吸率和多样性在Shannon多样性指数和Berger-Parker丰富指数方面,指数显示出显着的时间和空间变化。回归线性分析说明了WQI与Periphyton功能和多样性指数的相当良好的相关性,香农分离指数与WQI(r = 0.904,P <0.01)相关,其次是亮氨酸氨基肽酶(R = -0.847,P <0.01)和Berger-Parker丰度指数(R = -0.840,P <0.01),碱性磷酸酶,β-葡糖苷酶和总初级生产率也表现出与WQI的良好逆相关性。冗余分析表明,11环境变量解释了Periphyton社区数据的大量变异。该研究有助于我们了解水质的化学和生态状态,并为我们提供准确监测水质的信息。

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