The article presents the analysis of the current situation of the forest area in Alytus and Vilnius Counties. Comparative, analytical as well as statistical and logical analysis methods were used for the investigation. The aim of the investigation is to carry out the analysis of the Alytus and Vilnius Counties forest area during the period between the years 2006 and 2018. The object of the investigation – Alytus and Vilnius Counties forest area. Tasks of the investigation: 1. To describe the status quo of forest in Alytus and Vilnius Counties. 2. To analyze and compare the forest area change in Alytus and Vilnius counties during the period between the years 2006 and 2018. The study found that forests prevailing in Alytus and Vilnius Counties are 50–59 years old. It was determined that pine trees prevail in Alytus County (71.05 percent) and in Vilnius County (16.38 percent) as well. The type of ownership prevailing in both Alytus and Vilnius counties is the forests of state significance managed by forest enterprises, national parks and state reserves. In Alytus County, during the period between the years 2006 and 2018, the forest area decreased by 4123.16 ha or 1.55 percent, in Vilnius County increased by 9593.16 ha or 2,35 percent.

The international Cittaslow movement brings together towns that promote the slow life philosophy. The concept has been developed in response to the increasing pace of life and the adverse effects of globalization. According to the members of Cittaslow, the organization contributes to the sustainable development of their regions and to improvement of the quality of life. In view of the benefits of Cittaslow membership confirmed by research studies, the question arises whether the concept of Cittaslow could also be introduced in rural areas. This paper seeks to answer the above question. The study involved an analysis of the Cittaslow membership criteria (Cittaslow goals) and a survey conducted among the inhabitants of the Warmian village of Żabi Róg. The results of the study were used to test the research hypothesis and to assess the quality of life in the analyzed area.

The research studies the issue of ecological stability of rural territories that is the most important component of the national environmental policy of Ukraine. A special attention is paid to degradation of arable lands as the main ecological problem of land management. On the example of Lviv region, the authors calculated the index of ecological nonconformity of current use of arable lands, proving a considerable excess of permissible ploughing of lands in the region. The carried analysis confirms that no measures were performed concerning land protection, including conservation that in the recent years. In this context it is necessary to improve land resources management on the basis of sustainable development. Integration is considered to be the main principle of land resources management. The research proves that solution of ecological problems of land management requires achievement of a set of coordinated targets concerning development of rural territories, land resources management and national environmental policy based on the principles of suitable development. The targets include: planning of land use outside settled areas on the landscape and ecological basis; land inventory; formation of the land bank of agricultural lands; development and support of alternative kinds of activity on rural area; development of an efficient mechanism to encourage performance of land protection measures; improvement of environmental responsibility of population and development of ecological education. The methodological basis of the research is the concept of sustainable development, which expects support for a continuous character of development in order to meet the current needs along with ensuring the needs of future generations. The fulfilment of the task requires examination of scientific works on the issue of sustainable management of land resources and an ecological component of rural territory development.

The average land productivity score is about 41.8 in the Republic of Lithuania. However, in separate regions it ranges from 30.5 to 55.1. The research object is agricultural utilities in rural municipalities of the Republic of Lithuania. The analysis of land use plan fragments in the selected areas shows that land is abandoned mostly in land areas where non-productive land or hilly relief prevails. Having improved conditions of land use, about 44 % of abandoned agricultural utilities can be transferred into intensive farming.

The possibilities of using the geospatial analysis methods for visualizing land monitoring data and modelling the spatial distribution of the main agrochemical soil indicators are discussed in the article. The research was conducted within the limits of land use of RUP “Uchkhoz BGSHA” (Republic of Belarus, Mogilev region, Goretsky district). The total area of the surveyed territory was 3187.0 hectares. The geospatial analysis of the spatial distribution of humus, mobile phosphorus, mobile potassium and pHKCl was carried out using the Geostatistical Analyst module of the ArcGIS software. Semivariograms were used as the main tool for studying the structure of the spatial distribution of agrochemical indicators. The exponential function was identified as the best variogram model, the type of the circle was standard, the type and the number of sectors was 4 with a displacement of 450, and the lag was 200 metres. The interpolation accuracy was determined from the mean error (ME), mean square error (RMSE) and standard error (RMSS). The universal kriging method was used to perform the forecast and visualize the spatial distribution of agrochemical indicators. The multivariate analysis was performed using the functionality of the Raster Calculator tool, Principal Component analysis and Maximum Likelihood Classification. The search and determination of areas of sites with the most optimal agrochemical indicators were carried out by the multifactor analysis in the GIS environment. Calculation of the area of each circuit within the limits of working parcels was carried out using the utility "Zone Statistics".