Petrozavodsk State University, Institute of Biology, Ecology and Agricultural Technologies
Petrozavodsk, Petrozavodsk, Russian Federation
Russian Federation
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 34.35
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.25
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 63
BISAC SCI SCIENCE
We studied the productivity level of some parts of Lake Onego. Four indicators were used: number of saprophytic bacteria, zooplankton biomass, chlorophyll-𝑎 concentration, and water transparency. The analysis included samples from 14 stations located at transects from the top of Kondopozhskaya Bay to the center of Lake Onego and from the top of Petrozavodskaya Bay to the center of the lake. Two periods of 20 years (the end of the last century and the beginning of the present one) were compared. The productivity level was estimated using fuzzy logic technology according to the Mamdani algorithm. The membership functions for each indicator included two terms: “low productivity” and “higher productivity”; the ranges of values for each term were set by an expert. The output membership function included two terms of rectangular shape with the values “low productivity” and “higher productivity”. A total of 16 production rules were constructed; they, in turn, allowed to obtain 706 productivity level estimates for all stations. A bootstrapping was applied to assess the significance of differences. Comparison of data for the end of the last and beginning of the current century showed the following: There were no significant changes in productivity estimates at the transect “Petrozavodskaya Bay – the center of the lake”. For the transect “Kondopozhskaya Bay – the center of the lake”, there is an increase in productivity level, probably due to the appearance of new factors of anthropogenic impact: the trout farms. The advantage of the fuzzy logic modeling method is the clear theoretical meaning and simpler calculation technology compared to statistical classification methods.
Lake Onego, productivity, fuzzy logic, long-term dynamics, eutrophication, anthropogenic impact
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