Development of Lake Ladoga ecosystem models: modeling of the phytoplankton succession in the eutrophication process. I |
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| Institution: | 1. Institute for Economics and Mathematics at St. Petersburg, Russian Academy of Sciences, ul. Chaikovskogo, 1, St. Petersburg, 191187, Russia;2. Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, prosp. Toreza, 44, St. Petersburg, 194024, Russia;3. Institute of Limnology, Russian Academy of Sciences, ul. Sevastyanova, 9, St. Petersburg, 196199, Russia;1. National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia;2. Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg 199034, Russia;3. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia;1. Taras Shevchenko National University of Kyiv, Volodymyrs’ka St. 64/13, Kyiv 01601, Ukraine;2. Institute of Macromolecular Chemistry, National Academy of Sciences of Ukraine, Kharkivske Shausse 48, Kyiv 02160, Ukraine;3. National University of Food Technologies, Volodymyrs’ka St. 68, Kyiv 01601, Ukraine;1. Laboratory of beams and plasma technologies, Tomsk polytechnic university, Tomsk, 634050, Russia;2. Tomsk polytechnic university, Lenin ave. 634050, Tomsk, Russia |
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| Abstract: | New models of Lake Ladoga ecosystem and the results of modeling are presented. In the first part the model of phytoplankton succession in the process of anthropogenic eutrophication of the lake is considered under the evolution of the phosphorus loading. The still continued anthropogenic eutrophication of the lake started in 1962 when the phosphorus load began to increase. Since 1962 during the evolution of the lake’s state from oligotrophic to developed mezotrophic one, the structure of phytoplankton community dominating species was significantly changed as well as its total productivity. The system state in the model is described by 14 parameters: nine phytoplankton complexes, zooplankton, dissolved organic matter, detritus, dissolved mineral phosphorus and dissolved oxygen. The number of parameters of this model is noticeably larger than that of previous models created by the authors. The relative dynamics of phytoplankton complexes in the lake’s ecosystem evolution was simulated by the new model. It is shown that the modeling results are adequately corresponding to the observation data. The results of phytoplankton structure modeling allow to estimate the impact of phytoplankton on the water quality as well as give the prediction of the lake’s ecosystem evolution with the changes of the phosphorus loading. |
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