Patterning Zooplankton Communities in Accordance with Annual Climatic Conditions in a Regulated River System (Nakdong River, South Korea)

Abstract

AbstractIn this study, we investigated what environmental factors mainly influence the pattern of zooplankton communities in the regulated Nakdong River. Fifteen years of data (N = 629, 1994 to 2008) were used to analyze the patterns by means of self‐organizing map (SOM), that is capable of extracting information through competitive and adaptive properties. A total of 34 variables (18 groups of zooplankton and 16 physicochemical parameters) were patterned onto the SOM, and then each variable was compared in accordance with three different annual rainfall patterns (i.e., dry, moderate, and wet). Finally, seven clusters were categorized according to Euclidian distance between the clusters on the SOM. Clear seasonal features for the variables were interpreted in five major categories, and two more subcategories were partitioned by a specific feature of zooplankton abundance and appearance. In the result, the patterns of zooplankton assemblage were mainly distinguished by water temperature, Secchi transparency, and river flow rate. In particular, the SOM result depicted a clear pattern of zooplankton assemblage clusters partitioned by annual precipitation, which accentuated the prolonged effect of dam regulation on plankton assemblage in a regulated river system. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)