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Siberian Journal of Forest Science

2020 year, number 3


T. A. Mikhailova1, O. V. Kalugina1, O. V. Shergina1, L. V. Afanasieva2
1Siberian Institute of Plant Physiology and Biochemistry, Russian Academy of Sciences, Siberian Branch, Irkutsk, Russian Federation
2Institute of General and Experimental Biology, Russian Academy of Sciences, Siberian Branch, Ulan-Ude, Russian Federation
Keywords: геоинформационные базы данных, сосна обыкновенная Pinus sylvestris L, пробная площадь, водосборный бассейн оз. Байкал, Предбайкалье, geoinformation databases, Scots pine Pinus sylvestris L, sample plots, watershed of the Baikal Lake, Prebaikalie


Two geoinformation databases have been created, which provide information on the parameters of pine forests in the large Baikal region. The database «Elemental chemical composition of pine needles Pinus sylvestris L. in the Prebaikalia» contains the data obtained by the authors on the quantitative content of 39 elements and 20 organic pollutants in pine needles at 162 sample plots (SP), located in the southern part of the Irkutsk region territory, where a large industrial zone is located, aerial emissions of which are one of the main causes of forest pollution in the region. Information on changes in the elemental composition of needles in dynamics from 1992 to 2018 is given. The data are presented: 107 types of pine stands, 50 types of soils, 59 chemical elements and organic pollutants. In the second database «Ecological and physiological state of pine forests in the catchment basin of Lake Baikal», located mainly in the territory of Buryatia. Geographic coordinates, landscape location, type of forest, type of soil, parameters of the vital status of tree-stands, natural and anthropogenic factors that negatively affect the state of forests are indicated for each SP. The created databases contain a large enough amount of information to automate the collection of data on the forests state, analyze data, and form an information basis for GIS. This is of both scientific and practical interest in the planning of work on rational forest management.