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Temporal patterns of phyto- and bacterioplankton and their relationships with environmental factors in Lake Taihu, China

机译:太湖植物浮游细菌的时空格局及其与环境因子的关系

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摘要

Phytoplankton and bacterioplankton are integral components of aquatic food webs and play essential roles in the structure and function of freshwater ecosystems. However, little is known about how phytoand bacterioplanlcton may respond synchronously to changing environmental conditions. Thus, we analyzed simultaneously the composition and structure of phyto- and bacterioplankton on a monthly basis over 12 months in cyanobacteria-dominated areas of Lake Taihu and compared their responses to changes in environmental factors. Metric multi-dimensional scaling (mMDS) revealed that the temporal variations of phyto- and bacterioplankton were significant. Time lag analysis (TLA) indicated that the temporal pattern of phytoplankton tended to exhibit convergent dynamics while bacterioplankton showed highly stable or stochastic variation. A significant directional change was found for bacterioplankton at the genus level and the slopes (rate of change) and regression R-2 (low stochasticity or stability) were greater if Cyanobacteria were included, suggesting a higher level of instability in the bacterial community at lower taxonomy level. Consequently, phytoplankton responded more rapidly to the change in environmental conditions than bacterioplankton when analyzed at the phylum level, while bacterioplankton were more sensitive at the finer taxonomic resolution in Lake Taihu. Redundancy analysis (RDA) results showed that environmental variables collectively explained 51.0% variance of phytoplankton and 46.7% variance of bacterioplankton, suggesting that environmental conditions have a significant influence on the temporal variations of phyto- and bacterioplankton. Furthermore, variance partitioning indicated that the bacterial community structure was largely explained by water temperature and nitrogen, suggesting that these factors were the primary drivers shaping bacterioplankton. (C) 2017 Published by Elsevier Ltd.
机译:浮游植物和细菌性浮游植物是水生食物网的组成部分,在淡水生态系统的结构和功能中起着至关重要的作用。但是,关于植物和细菌浮游生物如何对不断变化的环境条件做出同步反应知之甚少。因此,我们在12个月的时间里每月同时分析了太湖蓝藻为主的地区浮游植物和浮游植物的组成和结构,并比较了它们对环境因素变化的响应。度量多维标度(mMDS)显示,浮游植物和浮游植物的时间变化很明显。时滞分析(TLA)表明,浮游植物的时间格局趋向于收敛,而浮游生物表现出高度稳定或随机变化。发现包括浮游细菌在内的浮游细菌在属水平上具有明显的方向变化,并且斜率(变化率)和回归R-2(低随机性或稳定性)更大,这表明较低水平下细菌群落的不稳定性较高。分类级别。因此,在门系统水平上进行分析时,浮游植物对环境条件的变化比细菌对浮游生物的反应更快,而在更精细的分类学分辨率下,太湖中的细菌对浮游生物更敏感。冗余分析(RDA)结果表明,环境变量共同解释了浮游植物的51.0%变异和浮游植物的46.7%变异,表明环境条件对浮游植物和浮游植物的时间变化具有重大影响。此外,差异划分表明细菌群落结构很大程度上由水温和氮所解释,表明这些因素是塑造浮游细菌的主要驱动力。 (C)2017由Elsevier Ltd.发布

著录项

  • 来源
    《Chemosphere 》 |2017年第10期| 299-308| 共10页
  • 作者单位

    Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Jiangsu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Grand Valley State Univ, Annis Water Resources Inst, Muskegon, MI 49441 USA;

    Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Jiangsu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Jiangsu, Peoples R China;

    Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Jiangsu, Peoples R China;

    Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Taihu Lab Lake Ecosyst Res, Nanjing 210008, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Phytoplankton; Bacterioplankton; Environmental factors; Time lag analysis;

    机译:浮游植物;细菌性浮游生物;环境因素;时滞分析;

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