Xu Guangjian, Xu Henglong
Laboratory of Microbial Ecology, Ocean University of China, Qingdao 266003, China.
Laboratory of Microbial Ecology, Ocean University of China, Qingdao 266003, China.
Mar Pollut Bull. 2016 Mar 15;104(1-2):107-12. doi: 10.1016/j.marpolbul.2016.01.055. Epub 2016 Feb 4.
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.
基于浮游原生动物的年度数据集,采用多变量方法研究了年度分布空间变化的环境驱动因素。在中国北方黄海沿海水域的一个污染梯度内的四个站点,在一年时间内每月采集样本。第二阶段(2STAGE)分析表明,年度分布的内部模式在丰度方面沿污染梯度发生了变化。在一年周期内,四个采样站的优势物种表现出不同的演替动态。最佳匹配分析表明,原生动物年度分布的空间变化与铵态氮(NH4-N)显著相关,单独或与盐度和溶解氧(DO)组合相关。基于这些结果,我们认为营养物质、盐度和溶解氧可能是塑造浮游原生动物年度分布空间变化的主要驱动因素。