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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2013 Volume 5, Issue 1, Pages 83–105 (Mi crm383)

This article is cited in 3 papers

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

Searching for connections between biological and physico-chemical characteristics of Rybinsk reservoir ecosystem. Part 1. Criteria of connection nonrandomness

D. V. Risnika, A. P. Levicha, N. G. Bulgakova, E. S. Bikbulatovb, E. M. Bikbulatovab, Yu. V. Ershovb, I. V. Konyuhova, L. G. Kornevab, V. I. Lazarevab, A. S. Litvinovb, V. N. Maksimova, S. V. Mamikhinc, V. A. Osipova, N. G. Otyukovab, S. A. Poddubniib, I. L. Pirinab, E. A. Sokolovab, I. E. Stepanovab, P. V. Fursovaa, O. L. Cel'movichb

a Moscow State University, Faculty of Biology, MSU, 1-12, Leninskiye Gory, Moscow, 119991, Russia
b I.D. Papanin Institute for biology of inland waters Russian Academy of Sciences, IBIW RAS, Borok, Nekouzskii District, Yaroslavskii region, 152742, Russia
c Moscow State University, Faculty of Soil Science, MSU, 1-12, Leninskiye Gory, Moscow, 119991, Russia

Abstract: Based on contents of phytoplankton pigments, fluorescence samples and some physico-chemical characteristics of the Rybinsk reservoir waters, searching for connections between biological and physicol-chemical characteristics is working out. The standard methods of statistical analysis (correlation, regression), methods of description of connection between qualitative classes of characteristics, based on deviation of the studied characteristics distribution from independent distribution, are studied. A method of searching for boundaries of quality classes by criterion of maximum connection coefficient is offered.

Keywords: fluorescence, phytoplankton, pigments, chlorophyll, Yule coefficient, Pearson coefficient, searching for connection, Rybinsk reservoir.

UDC: 574.52: 57.045

Received: 20.06.2012
Revised: 04.09.2012

DOI: http://crm.ics.org.ru/journal/article/1991/



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