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About the Authors
Nataliia M. Kalinkina
185003, Petrozavodsk, Nevskogo str., 50,
E-mail: cerioda@mail.ru
Andrei V. Korosov
185003, Petrozavodsk, Nevskogo str., 50,
E-mail: cerioda@mail.ru
Natalya A. Belkina
185003, Petrozavodsk, Nevskogo str., 50,
E-mail: cerioda@mail.ru
Elena V. Tekanova
185003, Petrozavodsk, Nevskogo str., 50,
E-mail: cerioda@mail.ru
Maria T. Syarki
185003, Petrozavodsk, Nevskogo str., 50,
E-mail: cerioda@mail.ru
Anton A. Korosov
Abstract
Onego Lake is one of the largest fishery water bodies of the highest category and strategic source of clear fresh water in Russia. At present time, the ecosystem of Lake Onego has been well studied. Sufficient data has allowed to develop a GIS-system of Lake Onego water resources, to work out thermo-hydrodynamic models and to predict the permissible biogenic load. At the same time, biological data remains practically un-digitized, although there is a lot of material on the state of plankton and benthos of the lake for the period 1980–2017. The aim of this work was the working-out of approaches to the GIS, which organize physical-chemical and biological data to explain the regularities of Onego Lake biological resources formation. Onego Lake Geo-information System (GISO) was developed for modeling of interactions between the main ecosystem components including physical and chemical properties of water and bottom sediments, plankton and benthos. GISO used QGIS, MS Access and programming language R environments. It is based and incorporates Onego Lake vector maps, satellite images and field observation data collected during the period 1980–2017. GISO is designed for information storage, for spatial sampling of data for qualitative analysis and modeling, for identification of changes in the spatial structure of aquatic communities and for result visualization. The principles of developing GIS adapted for wide range of specialists and optimization of sampling points location are proposed. The significant decreasing of deep-water benthic communities production in Onego Lake was found were specified using of GIS technology.
Keywords
References
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For citation: Kalinkina N.M., Korosov A.V., Belkina N.A., Tekanova E.V., Syarki M.T., Korosov A.A. GEOGRAPHIC INFORMATION SYSTEM “BIOLOGICAL RESOURCES OF ONEGO LAKE”. Proceedings of the International conference “InterCarto. InterGIS”. 2018;24(2):362–370 DOI: 10.24057/2414-9179-2018-2-24-362-370 (in Russian)