Using geodata technology, we conducted a bioclimatic modeling of the spatial distribution of the common palearctic ground beetle – Pterostichus oblongopunctatus (Fabricius, 1787). The range of comfort of the territories included in this species’ range was obtained. We used the data on 510 sampling points, obtained as a result of the authors’ field surveys and the data base of the GBIF global fund of biodiversity and 19 climatic parameters from the WorldClim open base and MaxEnt program. The results determined the factors which have the greatest impact on the current distribution of P. oblongopunctatus. The main climatic factors affecting the distribution of P. oblongopunctatus are average annual temperature, average 24-hour amplitude of temperature over each month, average temperature over the driest quarter, average temperature over the warmest quarter of the year, total of precipitations in the driest month of the year. We performed a prediction of possible change in the range by two scenarios (RCP 2.6 and RCP 8.5) for 2050 and 2070. Using QGIS program, we estimated the areas of the species’ range, and compared them. According to the scenario RCP 2.6, by 2050, the range of the species will contract due to decrease in the territories with moderately continental climate, and by 2070, a restoration of the range would take place, for according to this scenario, the average annual temperature stabilizes. According to the scenario RCP 8.5, the range will contract by 2050 and will continue to decrease by 2070, for the concentration of CO2 continues to increase along with increase in average annual temperature. Climate changes can affect the life cycle of the beetle, its life expectancy and activity over the season. With changes in temperature, eggs and larvae of P. oblongopunctatus can be more vulnerable.

The risk-based approach in the control and supervisory activities in the field of land use remains relevant despite significant experience in this area. Since the issues related to the interaction of the branches of supervisory and control bodies from the federal to the municipal level have not yet been resolved. There are no uniform criteria for assigning objects to a particular risk group, considering regional conditions. To analyze the performance of the Rosselkhoznadzor (the Federal Service for Veterinary and Phytosanitary Surveillance) in the field of agricultural land assessment for the Republic of Karachay-Cherkessia, geoinformation technologies were used, which made it possible to give an objective assessment of the effectiveness of the risk-based approach system. Four hundred seventy eight land plots were identified, most of them belongs to land plots that are not classified as medium or moderate risk (68.6 %), about 28 % of all plots are considered as moderate risk, and 3.1 % of land plots are classified as medium risk. Using publicly available sources of information, a land plots database was created with the definition of the risk category. A geoinformation model of the density of land plots (heat map) is constructed using the QGIS software. The thematic maps created made it possible to identify the features of land plots with medium and moderate risk categories. The main feature of the risk-based approach is the absence of land plots subject to routine inspection in the forest zone, foothill subalpine and high-altitude subalpine and alpine meadows, Karachay-Cherkessia Republic, where there are two natural biosphere reserves and many protected natural areas of regional significance. A small number of inspected land plots were also identified within the boundries of specially protected ecological and resort region of the Russian Federation, Caucasian Mineral Waters, which is geographically located in the Karachay-Cherkessia Republic.

The article studies the state of biota in the Urus-Martan forest reserve located in the Chechen Republic, the degree of its anthropogenic transformation as a result of agricultural and production activities. A comprehensive bioecological analysis of flora and fauna was carried out, rare and protected species were assessed in terms of anthropogenic changes in the reserve. The methods of cartography, multimedia modeling of satellite images, accounting for the number of species and ecological-faunistic analysis were used. Changes in the reserve borders optimizing the reserve territory were described. Practical recommendations were provided.

Climate change and related changes in natural ecosystems are the most important international issues of the twenty-first century. In this regard, modeling the dynamics of plant and animal habitats based on the analysis of their relationships with climate parameters and environmental characteristics becomes an urgent task. Modeling the geographical distribution of species is not possible without geoinformation analysis, which allows you to identify both the boundaries of factors that affect the distribution of the species, and the features of its range. The paper presents the author’s addition to the existing method of ecological and geographical modeling based on GIS technologies that allow to visualize the dynamics of areas in a certain period of time and in connection with changes in bioclimatic parameters. Modeling the spatial distribution of two marker species of ground beetles makes it possible to extrapolate fragmentary data on specific locations over large territories. The created geoinformation models of the predicted areas revealed their changes for different climate scenarios for 2050 and 2070. Based on ecological and geoinformation modeling, it was found that the formation of the modern range of Zabrus tenebrioides is significantly influenced by the average daily temperature amplitude for each month, the maximum temperature of the warmest month and the minimum temperature of the coldest month. The distribution of Pterostichus oblongopunctatus is influenced by the average annual temperature, the average daily temperature amplitude for each month, and the average temperature of the driest quarter; the average temperature of the warmest quarter of the year and the amount of precipitation in the driest month of the year. The geoinformation analysis made it possible to identify the dependence of the number of points of species finds and the values of bioclimatic factors. Maps and graphs of the range of species comfort were created. The main trends of changes in the range of Pterostichus oblongopunctatus under changing climate conditions in the “soft” and “hard” scenarios are revealed. Under the influence of climate change, the area of habitats is reduced and their structure is changed.