文献类型： 外文期刊
作者： Wu, Naicheng 1 ; Faber, Claas 1 ; Sun, Xiuming 1 ; Qu, Yueming 1 ; Wang, Chao 4 ; Ivetic, Snjezana 5 ; Riis, Tenna 3 ; Ul 1 ;
作者机构： 1.Univ Kiel, Inst Nat Resource Conservat, Dept Hydrol & Water Resources Management, D-24118 Kiel, Germany
2.Aarhus Univ, Aarhus Inst Adv Studies, Hoegh Guldbergs Gade 6B, DK-8000 Aarhus C, Denmark
3.Aarhus Univ, Dept Biosci, Ole Worms Alle 1, DK-8000 Aarhus C, Denmark
4.Chinese Acad Fishery Sci, Pearl River Fisheries Res Inst, Guangzhou 510380, Guangdong, Peoples R China
5.King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Marine Sci & Engn, Thuwal 239556900, Saudi Arabia
期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）
ISSN： 2045-2322
年卷期： 2016 年 6 卷
页码：
收录情况： SCI
摘要： There has been increasing interest in diatom-based bio-assessment but we still lack a comprehensive understanding of how to capture diatoms' temporal dynamics with an appropriate sampling frequency (ASF). To cover this research gap, we collected and analyzed daily riverine diatom samples over a 1-year period (25 April 2013-30 April 2014) at the outlet of a German lowland river. The samples were classified into five clusters (1-5) by a Kohonen Self-Organizing Map (SOM) method based on similarity between species compositions over time. ASFs were determined to be 25 days at Cluster 2 (June-July 2013) and 13 d(a)ys at Cluster 5 (February-April 2014), whereas no specific ASFs were found at Cluster 1 (April-May 2013), 3 (August-November 2013) (>30 days) and Cluster 4 (December 2013-January 2014) (<1 day). ASFs showed dramatic seasonality and were negatively related to hydrological wetness conditions, suggesting that sampling interval should be reduced with increasing catchment wetness. A key implication of our findings for freshwater management is that long-term bio-monitoring protocols should be developed with the knowledge of tracking algal temporal dynamics with an appropriate sampling frequency.
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