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. 2017 Aug 18;8:1579. doi: 10.3389/fmicb.2017.01579

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Copyright © 2017 He, Sen, Zhou, Xie, Zhang, Zhang and Wang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Biplot of the principal component analysis (PCA) for environmental parameters in the sampling stations near Qinhuangdao coastal area. The two principal components (PC1 and PC2) explained 59.64% of total variation in environmental data, and shows clear partitioning of July and October samples from December and March along the PC1, and partitioning of July from October along PC2. PC1 and PC2 strongly correlated to variables NH₄-N and NO₃-N, and total nitrogen (TN), temperature (T) and Chlorophyll-a (Chl a), respectively. Total phosphate (TP), NO₂-N, and salinity were not correlated to PC1 and PC2. Blue arrows represent environmental parameters, and circles in color represents sampling points.