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The characteristic features of distribution and behavior of the Baikal omul were studied for the first time using static hydroacoustic recording from the ice cover of Lake Baikal in the Selenga shallows, as well as in the adjacent deep-water area near the villages of Buguldeika and Bolshie Koty. The analysis of acoustic data on changes in fish aggregation density made it possible to assess their distribution and migration patterns. At the “Selenga” station, fish schools were observed moving at the same depths throughout 24 hours, while at the “Buguldeika” and “Bolshie Koty” stations, individuals aggregated into small groups at depths of 100-200 and 250-350 m, depending on the time of day. The reconstructed fish size composition from acoustic data based on the target strength of individual fish made it possible to determine the characteristics of their migrations at different stations. At the “Selenga” station, a high proportion of fish with a standard length of up to 17 cm was detected, indicating the presence of juvenile fish from the spawning river. In contrast, at the “Buguldeika” and “Bolshie Koty” stations, predominantly individuals with a standard length (SL) of 20-38 cm were recorded, which indicates the migration of fish over two years old from the underwater slope zone of the Selenga shallows to the mesopelagic zone. The study results demonstrated the fundamental feasibility of monitoring the distribution, migration patterns, and formation of the size composition of fish using the hydroacoustic method in static mode during the winter period. This opens new perspectives for studying the seasonal fish behavior and helps to better understand their ecology and interrelations in the natural environment.

The soils of high-arctic and typical tundras of the Barents Sea islands (Mabel Island of the Franz Josef Land Archipelago, Severny Island of the Novaya Zemlya Archipelago, Kolguev Island) were studied. The article considers the features of formation and morphological structure of soils in the concept of tundra soil formation. The taxonomic position of soils was determined within the framework of substantive-genetic classification systems. A comparative analysis of zonal and landscape conditions of soil formation was carried out. It has been concluded that the harsh climatic conditions and fragmentary nature of the soil cover of high-arctic tundras determine the formation of thin profiles with weak morphological manifestation of soil horizons. It has been revealed that in typical tundras of the island landscapes, full-profile zonal tundra soils are formed under natural vegetation. Moreover, the specifics of soil formation at the landscape level are determined by the composition and structure of parent and underlying rocks. The influence of landscape conditions is most pronounced on mountain islands, where shallow rocky soils have formed. In high-arctic tundras, cryogenic psammozems and lithozems develop on various rock types, while typical tundras produce gley and peaty cryogenic soils. It has been shown that the high rockiness of soils and underlying rocks contributes to an increase in the depth of seasonal thawing. The occurrence of permafrost in the depth of underlying dense rocks limits the possibilities of its manual probing, making ground penetrating radar methods the main ones in studying the depth of soil thawing. Differences in the genesis and morphological structure of soils of high-arctic and typical tundras are due to the significant latitudinal extent and great diversity of landscapes in the island Arctic.

Based on meteorological station data for 1952-2020, long-term changes in the main climate indicators in the study area of the lower Yenisei basin were analyzed. Air temperature trends are characterized by a steady increase at a rate of 0,39-0,45 ° C/10 years; for most of the meteorological stations under investigation, an increase in atmospheric precipitation was noted for the period from 1966 to 2020 amounting to 2,4-32,6 mm/10 years. The influence of climate on the current conditions of formation and ongoing changes in the regimes of annual and winter low-water runoff of the lower Yenisei river basin was studied. It is shown that the noticeable climate warming in the lower Yenisei basin over the past decades has been accompanied not only by a rise in air temperature and a slight increase in precipitation, but also by a change in the annual and winter low-water runoff. Using hydro- and meteorological data, an analysis was conducted of changes in the average annual and average low-water runoff for the entire observation period (1939-2020) and for the period of modern air temperature increase (1976-2020). The analysis of changes in winter low-water runoff by years for different periods revealed that, since the 1940s, all the studied rivers showed a tendency toward an increase in this indicator from 0,13 to 1,25 mm/year. The annual runoff also increased on all rivers from 0,09 to 0,93 mm/year. This indicates a general trend of increasing river runoff in the study area of the lower Yenisei basin. According to the results obtained, the trend in the winter low-water runoff during the period of modern climate warming is more pronounced compared to the annual runoff. This demonstrates that permafrost thawing is becoming a more significant factor in the formation of the river runoff in the lower Yenisei basin.

The article considers the conditions of formation of carbonic mineral waters common within the Khentei-Daurian vault, located in the neighbouring territories of Russia and Mongolia. This area belongs to the Daurian hydromineral region. Currently, 28 manifestations of carbonic waters are known, but there is a high probability that their number will increase with detailed research of this hard-to-reach territory. All carbonic springs are associated with tectonic fault zones. They are characterized by low water temperatures and high CO₂ content. The main anion of the studied waters is bicarbonate, while calcium and magnesium predominate among the cations. Elevated concentrations of several balneologically valuable microelements are noted in the spring waters. One of the most valuable components is iron, which is present in all the studied springs. According to existing classifications, carbonic waters of the Khentei-Daurian vault belong to the Darasunsky, Kukinsky, and Lastochkinsky types. The analysis of the isotopic composition of carbon has shown that CO₂ is of magmatic origin. Some enrichment with the light carbon isotope is explained by the influence of organogenic carbonic acid from coal seams or from peat bog deposits. There are resorts in Mongolia operating on the basis of carbonic waters of the Khentei-Daurian vault. In Russia, the former “Yamarovka” resort is used for bottling mineral water for retail sale; other carbonic springs are visited by vacationers without any organization. In addition to the water’s healing properties, the carbonic springs of the Khentei-Daurian vault are natural monuments and require constant protection from pollution and depletion.

The resilience of forest ecosystems to natural and anthropogenic impacts was studied. The influence of climatic, biological, landscape, and anthropogenic factors on the productivity of forests in the Zeysky Nature Reserve was assessed. Climate trends and the sensitivity of the phytoproduction process to changes were analyzed, and a periodization of hydrothermal parameters was provided. The research methods included collecting tree cores to estimate annual increments and analyzing climate data using statistical methods. Based on the analysis of tree-ring chronologies, the relationship between climatic fluctuations and radial tree increment was retrospectively assessed. To improve the accuracy of the analysis, methods of cross-dating and standardization of tree-ring series were used. The resulting time series of tree increment were compared with the data on air temperature and precipitation provided by the nearest weather station. Correlation and regression analyses were used to assess the statistical significance of the identified relationships between climatic factors and tree increment. Specifically, the Pearson correlation coefficients were calculated between tree increment and average monthly temperature and precipitation values for different periods of the growing season. The results of the regression analysis made it possible to assess the contribution of each climatic factor to the overall variability of tree increment. It has been established that temperature conditions, especially in spring and summer, significantly affect tree increment, while precipitation plays a secondary role. At this stage of research, it was not possible to identify a clear influence of climatic factors on forest productivity in the long or short term. Despite the correlations identified, it is necessary to consider the influence of other factors, such as competition between trees, stand age, soil conditions, and the impact of pests and diseases, which may mask or enhance the influence of climatic factors.

The manifestation of the Little Ice Age in the south of the mainland of the Russian Far East is analyzed. The study is based on a synthesis of paleogeographic data, which, in the absence of historical records, are the most informative for reconstructing changes in the natural environment. The main natural archives were deposits of mountain lakes and bogs located in different landscape zones of the low- to mid-mountain areas of the Sikhote-Alin and East Manchurian Mountains (at absolute elevations from 300 to 1600 m). Based on changes in the composition of diatom flora, as well as components of forest and bog ecosystems, abrupt climatic changes that occurred from the 12^th to 13^th centuries, including the transition period from the Medieval Warm Period, were reconstructed. It has been established that the medieval cooling in the south of the Far East was humid, with increased precipitation, including winter precipitation, and frequent floods. In this context, short-term periods of decreased humidity and seasonal droughts were observed. Typically, drier conditions coincided with solar activity minima. The cooling had an impact on the development of mountain landscapes, resulting in a change in the ratio of forest-forming species, a shift in the boundaries of landscape zones, widespread development of sphagnum bogs, and the emergence of species of northern regions among peat-forming plants. At the end of the Little Ice Age, settlement and active development of the territory became the leading factor in landscape transformation.

The relevance of the study is determined by the low population size and density, as well as the shortage of labor resources in Siberia amid depopulation and migration outflow from the territories. Significant differences in the socio-economic status of Siberian subjects determine the population movement to more developed regions, exacerbating territorial disparities in the distribution of labor resources in the labor market. The novelty of the study lies in its comprehensive approach to studying the relationships between demographic processes, economic development of the territory and social changes in society. The features of territorial dynamics of the population in the labor market (in terms of size, growth, distribution of those employed in economic sectors, and unemployment rate) are analyzed, taking into account the influence of economic and demographic factors. Regional factors that determine the increase/decrease in the total population, the working-age population and those employed in the economy have been identified. Between 2011 and 2023, significant shifts occurred in the overall structure the population employed in the economy, with a reduction in the total number of this group within one percent. The greatest decrease in the number of employed people was typical for agriculture, education and healthcare. The largest increase in the number of employed people was recorded in trade, in such areas as the repair of vehicles and household goods, transport and communications, and in the extraction of minerals. The matrix of labor market indicators, the quality of life index, the ratio of median income to the cost of a set of goods and services, and the share of the population below the poverty line revealed a clear correlation between economic and socio-demographic indicators.

The article considers the issues of methodological support for assessing the possibility of using archaeological sites in tourism activities. The research base of the identified topic in the global and Russian scientific fields is analyzed. The presented authors’ methodology evaluates each site according to five parameters, namely: transport accessibility, infrastructure provision, events, available excursion programs, as well as public activity. Based on the results of applying the methodology to five districts of the southwest of Rostov oblast (Azovsky, Aksaysky, Myasnikovsky, Rodionovo-Nesvetaysky and Ust-Donetsky), the archaeological sites most promising for inclusion in tourist-excursion routes were identified. The advantages of sites with high ratings in these districts are also described. Proposals for the further use of the assessed sites in tourism, including consideration of the differentiation of their ratings, are presented for discussion. Based on the conducted research, the authors suggested a tourist route with an archaeological focus through the territory of Rostov oblast, “The Solar Plexus of Eurasia”, which includes the sights of the region’s southwestern districts with the highest ratings. Such a route can become a growth point for inbound archaeological tourism in the region and, in the long term, serve as a basis for the formation of infrastructure-supported tourism development poles. For low-rated sites, measures have been proposed to increase their tourist attractiveness and potential use in tourist routes. Furthermore, the prospects for applying this methodology to other districts of Rostov oblast, as well as to other subjects of the Russian Federation, with the possibility of forming national archaeological routes, are outlined.

Precipitation is a key indicator for determining the climate of a region. However, erratic precipitation patterns are detrimental to urban infrastructure. The objective of this study is to forecast precipitation patterns using historical time series data. The study used precipitation data for a century (1922-2022) to project future precipitation trends for the semi-arid region of the Agra district of Uttar Pradesh, India. A seasonal autoregressive integrated moving average (SARIMA) model was employed for the same purpose. Through data decomposition and the augmented Dickey-Fuller test, the study confirms the model’s stationarity prerequisites, with the SARIMA (2, 1, 1) (0, 1, 1)12 configuration proving to be the most accurate for the study. The model accuracy was further validated through residual checks and performance assessment against established metrics, such as the Akaike information criterion, Bayesian information criterion and Hannan-Quinn information criterion. Forecasts were generated at 80 % and 95 % confidence intervals using both the “pm.auto_arima” function of the “pmdarima” package in the Python library and manual assessment for further adjustment and verification. According to the forecasts, 2022-2031 is a decade of reduced precipitation, with an average of 590 mm. This forecasted average is lower than the historical average of 643,96 mm and the median of 665,92 mm.

The article considers the problem of migration of herders from rural to urban areas of Mongolia in the wake of the country’s transition to a market economy in the 1990s. The consequences of these reforms were the loss of some livestock (the source of livelihood for rural residents), including due to natural disasters, and a lack of jobs. The article presents an analysis of the main indicators of the internal migration in Mongolia from 1990 to 2020 at the province and soum levels, and determines the changes in the population distribution and settlement system due to the internal migration. Over the past 30 years, the population of Mongolia has increased by 1203,2 thousand people, or 58,7 %. It was found that this population growth (averaging 2 % per year) differed greatly geographically. Thus, during this period, the population of Ulaanbaatar increased by 962,5 thousand people, or 179,4 % (an average of 6 % per year), which is directly related to the flow of internal migrants towards Ulaanbaatar. An analysis of the average annual population growth rate suggests that in two provinces and 21 soums, the population grew mechanically or by migration; the average annual growth rate above the national average was observed in 9 province centers and 19 soum centers. In the future, it is necessary to identify and analyze the factors influencing internal migration in order to reduce population concentration in Ulaanbaatar and other large cities of Mongolia and to stimulate return migration.