Ontology highlight
ABSTRACT:
SUBMITTER: Wu N
PROVIDER: S-EPMC5107912 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature
Wu Naicheng N Faber Claas C Sun Xiuming X Qu Yueming Y Wang Chao C Ivetic Snjezana S Riis Tenna T Ulrich Uta U Fohrer Nicola N
Scientific reports 20161114
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 ...[more]