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An approach to analyzing environmental drivers to spatial variations in annual distribution of periphytic protozoa in coastal ecosystems

机译:分析沿海生态系统周生原生动物年度分布空间变化的环境动因的方法

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摘要

The environmental drivers to the spatial variation in annual distribution were studied based on an annual dataset of periphytic protozoa using multivariate approaches. Samples were monthly collected at four stations within a pollution gradient in coastal waters of the Yellow Sea, northern China during a 1-year period. The second-stage (2STAGE) analyses showed that the internal patterns of the annual distribution were changed along the pollution gradient in terms of abundance. The dominant species represented different succession dynamics among four sampling stations during a 1-year cycle. Best matching analysis demonstrated that the spatial variations in annual distribution of the protozoa were significantly correlated with ammonium nitrogen (NH4-N), alone or in combination with salinity and dissolved oxygen (DO). Based on the results, we suggest that the nutrients, salinity and DO may be the main drivers to shape the spatial variations in annual distribution of periphytic protozoa. (C) 2016 Elsevier Ltd. All rights reserved.
机译:基于多年生植物原生动物的年度数据集,使用多元方法研究了年分布空间变化的环境驱动因素。在为期一年的时间内,每月在中国北方黄海沿岸污染梯度内的四个站点上每月收集一次样本。第二阶段(2STAGE)分析表明,年度分布的内部模式沿污染梯度在丰度方面发生了变化。在1年的周期内,优势物种在四个采样站之间表现出不同的演替动态。最佳匹配分析表明,原生动物年分布的空间变化与铵态氮(NH4-N)单独或与盐度和溶解氧(DO)组合显着相关。根据结果​​,我们认为养分,盐分和溶解氧可能是塑造周生原生动物年分布空间变化的主要驱动力。 (C)2016 Elsevier Ltd.保留所有权利。

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