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Microorganisms of atmospheric aerosols sampled at four stationary points with different anthropogenic load in Novosibirsk in the period from September 2020 to December 2021 are studied. Atmospheric aerosols were monthly sampled by atmospheric air filtration at reinforced Teflon membranes Sartorius for 12 h, with a two week lags. Under those sampling conditions, spore-forming bacteria of the genus Bacillus and cocci of the genera Staphylococcus and Micrococcus predominated among the cultured bacteria in winter. In the spring-summer and autumn samples of atmospheric aerosols, the concentrations and diversity of coccal forms, spore-forming and non-spore-forming bacteria, actinomycetes, and fungi sharply increased. We have identified a significant number of hemolytic spore-forming bacteria and staphylococci, which are multi-resistant to antibiotics and have enzymes contributing to infectious process development.

The results of the study of pollen emission into the atmosphere of 24 anemophilic plant species and 3 entomophilic plant species for which optional anemophilia is possible are given. The percentage of clusters of two or more pollen grains of the total number of pollen particles entering the atmosphere is estimated. It is shown that such clusters were formed in significant quantities in all series of experiments. The percentage of pollen clusters attained ~ 71% of the total number of pollen particles, and of pollen grains in the clusters, ~ 94% of the total number of pollen grains.

Physicochemical and toxicological properties of biomass burning are of a big importance for assessment of wildfire impact on environment. However, the data on Siberian wildfires are much limited. The composition of Siberian biomass burning is studied in the Large Aerosol Chamber (LAC) of Institute Atmospheric Optics, Siberian Branch, Russian Academy of Sciences (Tomsk). Here, we present FTIR spectroscopy, gas chromatography-mass spectrometry, and liquid chromatography experimental data on composition of organic compounds in Siberian pine and forest debris smoke produced at smoldering and flaming phases and due to aging. Markers which allow identifying the combustion conditions and biomass type are established, namely, characteristic absorption bands, ratios of carboxyl and aliphatic functionalities, diagnostic ratios of polycyclic aromatic hydrocarbons (PAHs). Emission factors and carcinogenic risk for smoke PAH are assessed.

The results of experimental and numerical studies of long-term atmospheric contamination of the cement plant environ in the Iskitim city of Novosibirsk region are discussed. The object under the study is the snow cover. There are the data of network measurements of hydrogen value (pH), ionic components, suspended matter content accumulated for winter 2018/19. The numerical reconstruction of the pollution fields was carried out using low-parameter models in the approximations of a light and monodisperse impurity. A statistical analysis of the relationship between the content of impurities in snow samples and the values of the snow index (NDSI) calculated from high-resolution satellite images was carried out.

We consider the application of MODIS satellite data to the analysis of the condition of oil-producing Arctic territories. The state of the vegetation cover of the hydrocarbon fields in the Purovsky region of Yamalo-Nenets Autonomous Okrug: East-Tarkosalinskoye, Vyngayakhinskoye and Tarasovskoye for the period 2013-2020 are studied. Based on Terra/MODIS satellite data and ArcGis geoinformation system, we calculated the average values of the vegetation index EVI (Enhanced Vegetation Index) for the areas under study. The anthropogenic load on the oil and gas complex is mapped, and the dynamics of the vegetation of the territories of oil and gas fields in the Yamalo-Nenets Autonomous Okrug is analyzed.

The problem of revealing relationships between atmospheric parameters measured with GNSS receivers and characteristics of convective processes based on monitoring data in Kazan for 2010-2020 is solved in the work. Coherence and synchrony of variations in the precipitation intensity and potentially available convective energy with variations in the zenith tropospheric delay are most often detected on time scales smaller than 4 hours, with the wavelet correlation level higher than 0.8 in most cases.

Method for studying the effect of the mass flow from the particle surface on the drag coefficient in a wide range of Reynolds numbers is suggested. For this, two experimental setups have been developed and used for the study of the effect of air injection from the surface of a solid perforated sphere on the drag coefficient at various values of the velocity of injection flow in the range of Reynolds numbers of the airflow around a particle from 133 to 9900. It is shown that the drag coefficient of the particle decreases with an increase in the velocity of the gas injected from the surface of a solid spherical particle. The empirical equation for calculating the drag coefficient of a solid sphere in the self-similar regime depending on the ratio of the gas injection velocity and the airflow velocity has been derived from the regression analysis.

Determining the spatial distribution of rare fungal species is critical to understanding the environmental factors that affect them. Maximum entropy (MaxEnt) spatial distribution modeling solves this problem by allowing inferences about species distribution and ecological resistance from occurrence data. Using this method, we mapped the current and potential geographic distribution of the rare species G. melanocephalum. To establish the regularities in the geographical distribution of the studied species in Siberia, we created its distribution models using Wordclim bioclimatic variables and the MaxEnt software. We modelled the species’ habitat suitability under current conditions (~1950-2000 AD) and in a future climate (2100 AD) based on 11 records of the species’ spatial distribution. Most localities of G. melanocephalum in Siberia are 200-500 meters above sea level. The optimal climatic conditions for G. melanocephalum in Siberia are typical of the habitats represented in the Kazakh forest-steppe, South Siberian forest-steppe, and hemiboreal forests of Western Siberia, in the zone of contact between the plains and foothills.

The Russian Far East has large areas of natural and semi-natural ecosystems. With the intensification of economic activity, it is necessary here a new look at the environmental policy with a focus on increasing the value of nature and its resources. The work consisted of converting a geo-botanical map into a habitat map. Habitats are presented in categories of “significance” and “value”. For all habitats are available floristic, ecological and biotope characteristics. The study area is a part of the Amur-Zeya plain. It is limited by geographical coordinates: 128°07 -128°23 north latitude and 51°25 -51°34 east longitude. It is part of the territory of advanced social and economic development “Svobodny”. The vegetation has been largely modified by humans. There are practically no native plant communities left here (pine, oak-pine, black birch-pine and black birch-oak-pine forests with larch). At present, secondary forest communities (oak, black birch, white birch) and their re-generative series grow here. The flora of the studied area includes 430 species of vascular plants. The list of fungi is represented by 267 species of macromycetes. The plant communities include 20 rare species of vascular plants listed in the Red Books of the Russian Federation (2008) and the Amur Region (2020). Plant communities are the main indicator of habitat, and their boundaries mark habitat boundaries. Habitats were divided into 5 groups: valuable, significant, moderately significant, insignificant and disturbed. In addition, the compliance of biotopes with the European habitat classification EUNIS was taken into account. Valuable habitats occupy 3 % of the total area on the habitat map. They include habitats of particular importance for the protection and the conservation of biological and landscape diversity. The significant habitats occupy 17 % of the total area. They include the Upper Amur forests (pine, oak and oak-black birch forests), mari, swamps and coastal aq-uatic vegetation, which have signs of standard natural communities. Moderately significant habitats account for 22 % of the territory. They belong also to natural communities, but have signs of disturbance. The insignificant habitats occupy 21 % of the total area. Species diversity decreases significantly here. Disturbed habitats occupy the largest areas (37 %).

It is reported about 10 new adventive species for the Novosibirsk region: ergasiophytes Berberis thunbergii, Brassica oleracea, Crataegus pinnatifida var. major, Eutrochium maculatum, Malus domestica, Prunus maackii, Sorghum drummondii, Tagetes erecta, and ergasioxenophyte Setaria italica. New localities of xenophytes Lolium multiflorum, Medicago sativa subsp. varia, Silene noctiflora and ergasiophytes Amelanchier humilis, Malus prunifolia, Mentha suaveolens, Physocarpus opulifolius, Tanacetum parthenium, which are rarely found in the Novosibirsk region, have been noted.