Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2019 Jul 10;10:1521. doi: 10.3389/fmicb.2019.01521

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2019 Wu, Zhao, Wang, Yang, Zhu, Shen, Cheng 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) and the copyright owner(s) 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.

PMC Copyright notice

The abiotic and biotic factors related to the relative abundance of bacterial phyla. These factors were identified with random forest (A) and redundancy analysis (RDA, B). For abiotic factors, we considered water depth (depth), total phosphorus (TP.water), total nitrogen (TN.water), conductivity (Con.sur) and concentrations of ${H C O}_{3}^{-}$ (HCO₃·water) and SiO₂ (SiO₂·water), pH (pH.bot and pH.sur), dissolved oxygen (DO.bot), sediment porosity, loss-on-ignition (LOI), the first two axes of metal ion principal component analysis (Comp.1 and Comp.2) and grain size. Grain size: <4 μm (GSL4), 4–16 μm (GS4_16), 32–64 μm (GS32_64), and > 64 μm (GSL64). Biotic factors included the biomass (Dia.bio and Chi.bio) and richness (Dia.rich and Chi,rich) of diatoms and chironomids, and chlorophyll a (Chla.bot and Chla.sur). For RDA, the abiotic variables were automatically selected based on Monte Carlo permutation tests (999 permutations).