THE ADDITIONS TO LONG-TERM ENVIRONMENTAL ASSESSMENT OF URBOECO-SYSTEMS USING BACKGROUND SPECIES GREEN AREAS PLANTS

The article discusses the results of a long-term bioindication study carried out in the period from 2017 to 2023 years to study the content of the amino acid proline in a biomass sample of background species of green spaces (introduced and native species), as the main biochemical marker of the state of the environment under conditions of a strong combination of stress factors. The bioindicators in the experiment were elements of green spaces in the administrative districts of the city of Bryansk: Sovetsky, Bezhitsky, Fokinsky, Volodarsky, as well as in the control - the village of Dobrun, Bryansk district: 14 species of angiosperms and gymnosperms were taken into account. The purpose of the work is to evaluate in the long term the change in the content of the amino acid proline as a biochemical marker of the state of the environment of a large city in the Non-Black Earth Region of the Russian Federation when diagnosing the biomass of background plants. The stability coefficient of dendroflora growing in 4 districts of Bryansk is presented, indicating the minimum and maximum values of amino acid cumulation by region and the air pollution index. The lowest value of the cumulation coefficient was calculated for the species: Pinus sylvestris L. (3,5-3,97), Picea abies L. (3,68-4,14), Picea pungens L. (3,77-4,28 ); highest value: Aesculus hippocastanum L. (6,17-6,59), Acer negundo L. (6,29-6,74), Syringa vulgaris L. (6,38-6,8). A series of sensitivity of woody plants to air pollution has been compiled according to the degree of reduction in proline content: Pinus sylvestris < Picea abies L. < Picea pungens L. < Thuja occidentalis L. < Quercus robur < Betula pendula < Salix triandra < Tilia cordata < Sorbus aucuparia < Robinia pseudoacacia < Acer platanoides < Acer negundo< Aesculus hippocastanum < Syringa vulgaris. It has been established that the concentration of proline is related by a regression relationship to the calculated air pollution index: with the growth of aerotechnogenic pollution, the content of the amino acid increases.