Multi-scale temporal dynamics of epilithic algal assemblages: evidence from a Chinese subtropical mountain river network

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• 作者：Tao Tang ; Xinhuan Jia ; Wanxiang Jiang ; Qinghua Cai
• 关键词：Multivariate time series modeling ; Multiple scales ; Algal dynamics ; Ecological guilds ; Biomonitoring
• 刊名：Hydrobiologia
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：770
• 期：1
• 页码：289-299
• 全文大小：697 KB
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• 作者单位：Tao Tang (1)
  Xinhuan Jia (1) (2)
  Wanxiang Jiang (1) (3)
  Qinghua Cai (1)
  
  1. State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
  2. Research Institute of Subtropical Forestry, China Academy of Forestry, Fuyang, 311400, China
  3. Zaozhuang University, Zaozhuang, 277160, China
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Hydrobiology
  Ecology
  
• 出版者：Springer Netherlands
• ISSN：1573-5117

文摘

Research on multi-scale temporal dynamics of lotic algal assemblages remains scarce. In this study, we analyzed epilithic algae sampled monthly from a Chinese subtropical mountain river network from 2004 to 2007, by using a multivariate time series modeling approach. We hypothesized that (1) multi-scale temporal dynamics exist within algal communities; (2) physical and chemical conditions drive algal temporal dynamics; and (3) tributary sites differ in algal temporal changes. This study revealed 2–4 site-specific algal temporal dynamics, contributed by 23–45% component taxa. Among the time-related taxa, percentages of high profile guild taxa were higher than both the low profile and the motile guild taxa. Several algal temporal dynamics were found to be driven by water temperature, conductivity, or current velocity, within which influences of conductivity at two sites resulted in directional changes in algal communities. Furthermore, tributary sites differed in algal temporal changes when compared to the two mainstream sites. Our findings imply that natural fluctuations and agricultural disturbance together shaped algal temporal dynamics in the studied river network. In conclusion, for accurately tracking algal temporal dynamics, we recommend that long-term and high-frequency biomonitoring protocols are developed. Moreover, both the mainstream and tributary sites should be monitored simultaneously.