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Relative Importance of Bottom-up vs. Top-down Controls on Size-structured Phytoplankton Dynamics in a Freshwater Ecosystem: II. Investigation of Controlling Factors using Statistical Modeling Analysis  

Song, Eun-Sook (Department of Chemistry, College of Natural Science, Chonbuk National University)
Lim, Jang-Seob (Division of Information Communication Engineering, Mokpo National Maritime University)
Chang, Nam-Ik (Youngsan-River Environment Research Laboratory, National Institute of Environmental Research)
Sin, Yong-Sik (Division of Ocean System Engineering, Mokpo National Maritime University)
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Abstract
Relative importance between bottom-up and top-down controls on phytoplankton dynamics was investigated in the Juam Reservoir, Chonnam based on the results from statistical analyses including regression and artificial neural network (ANN) modeling. Effects of nutrients on size-structured phytoplankton dynamics were explored by simple linear regression analysis and relative importance between bottom-up and top-down controls was estimated based on results from the artificial neural network analyses. Although there is a limitation in determining direct grazing effects since chlorophyll a : pheopigments ratios, indirect index for grazing activity rather than grazing rates or herbivores biomass were used, the results from regression analysis showed that nutrients especially orthophosphates were positively correlated with the phytoplankton biomass and chlorophyll a : pheopigments ratios were also positively correlated with the phytoplankton biomass at lower coefficient of determination ($r^2$) compared to orthophosphates. The simulation results from ANN suggested that the bottom-up mechanisms including water temperature and availability of nutrients, especially orthophosphates were more important than top-down mechanisms such as grazing in the phytoplankton dynamics.
Keywords
artificial neural networks; controlling factors; nutrients; Lake Juam; phytoplankton;
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