The article presents the Lithuanian forest land change in the period of more than a hundred years. The causes leading to forest land use change are analysed in the article. The beginning of forestry in Lithuania can be traced back to Sigismund Augustus times starting from 1557, when Wallach reform was launched. However, over time forest land and its use evolved for a variety of political, social and economic factors. In 1795 the state-owned forests in Lithuania amounted to 35% of the total area of forests; other forests were owned by landlords, churches and kulak farms. Later forests were cut down quite rapidly, many of them burned down, but reforestation work was insignificant. The smallest forest coverage during the analysed period was in 1945, just 16.5%. Forests were thinned out, wastelands and waterlogged areas dominated. Later, albeit with different variations, the forest coverage of Lithuania increased and today forest area accounts for more than 34% of the total area of the country, the majority of which are private forests. More detailed characteristics of forest land use and user trends as well as their causes are presented in the article. It also looks at the possible prospects.

Solution of ecological problems is an urgent and extremely important task at the present stage of social economic development of Ukraine. Unreasonably high degree of economic (mostly agricultural) reclaiming of area causes spreading and intensification of degradation processes in ecosystems. Conservation of lands, including the one carried out by means of foresting of degraded lands, is the principal way to renature environment. The article concerns an issue of land conservation in the context of ecosystem services of forests. The aim of the article is to assess the economic value of ecosystem services of forests in case of land conservation. To achieve the aim the authors developed a classification system of ecosystem services of forests according to their functional purposes; provide the calculation of prospective economic value of ecosystem services while foresting of a land plot with heavy eroded soil. The research was carried out using system, monographic and abstract-logical methods. The integral evaluation of prospective ecosystem services of forest in case of foresting of degraded land resulted in: minimum – 5. 07 thousand UAH per 1 ha in a year, maximum – 35. 91 thousand UAH per 1 ha in a year. The calculation of economic costs of ecosystem services should be applied for assessment of the economic value from protection of nature-protective areas as well as implementation of economic stimulation for land conservation.

All land of the Republic of Belarus can be classified by categories (7 categories), types of lands (14 types), land users, forms of ownership and types of rights to land plots. The total area of land in the Republic of Belarus is 20760 thousand hectares, including agricultural land occupies 9103.0 thousand hectares (43.8%) of the total area of the republic; settlements, horticultural associations, dacha cooperatives – 849.0 thousand hectares (4.1%); industry, transport, communications, energy, defence and other purposes – 622.2 thousand hectares (3.0%); environmental, health, recreational, historical and cultural purposes – 868.7 thousand hectares (4.2%); forest fund – 8656.4 thousand hectares (41.7%); water fund – 37.3 thousand hectares (0.2%); reserve land – 623.4 thousand hectares (3.0%). The basis of the land resources used in the agro-industrial complex of the republic is arable land, meadows and land under permanent crops, which in general occupy 8387.1 thousand hectares, or 40.4% of the total area of land. The state owns 20683.6 thousand hectares (99.63%) of land, private property – 76.4 thousand hectares (0.37%) of the total area of all lands of the republic. In terms of environmental stability, the territory of the republic belongs to medium-stable territories, the coefficient of environmental stability is 0.63, and in terms of the degree of anthropogenic load – to territories with a relatively low anthropogenic load, the coefficient of anthropogenic load is 2.79.

Under the conditions of a global reduction in forest areas and climate change, it is important to preserve as many tree-covered areas as possible and understand change trends. The article purpose – aims at identifying forest area change trends of 19th –20th c. in the current forest land of the eldership Raudonė. In the research, historical topographic maps compiled during different periods, and 2019 data from the forest registry are used. The research method of a comparative analysis is employed. The change in forest areas was analysed, and forest areas that remained unchanged for 200 years were identified. The comparison of current forest areas reflected in the cadastral data and forest areas of the considered period allowed identifying the tendency of assigning land the purpose of forest land. During the research, the period with largest forest areas was determined to be the 19th c., and with the smallest – 1st half of the 20th c. During the Soviet period, forests areas were increasing, but did not achieve the same level as in the 19th c.

The article discusses the current state of forest land, the history of formation of large tracts of forest in the Samara region and analyses some of the results of implementation of target programs to improve the forest cover in the region under the Kyoto Protocol. This program was designed for the period from 2006 to 2015, but in 2009 was discontinued. However, large segment of assets was allocated and a number of works was carried out. Currently the objectives of the programme to increase the forest cover in the territory of Samara region through the creation of tracts of forest are not achieved. Tree and shrub plantations play an important role in reducing the activity of processes of erosion, prevent degradation and desertification. Therefore, the problem of increasing forest cover, especially in the steppe zone of the region, to the level of the preindustrial era remains relevant and requires science-based measures for their solution.

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.

According to the official statistics the areas of abandoned agricultural land in Lithuania are gradually decreasing, but very slightly. The aim of this study is to research spatial determination and abandoned land classification in the territory of Vilnius District Municipality. Vilnius District Municipality was chosen for the research because it, although located near the capital of the country and has a high population density, it is still the district having the largest percent of abandoned land plots. A fast, cost-effective and sufficiently accurate method for determination of abandoned land plots would allow to constantly monitoring, to fix changes and foresee the abandoned land plots reduction possibilities. In the study there was used the multispectral RGB and NIR colour Sentinel-2 satellite images, the layer of the administrative boundary of Vilnius County and layer of abandoned agriculture land, which is available in Lithuanian Spatial Information Portal (www.geoportal.lt). The data was processed by Geographic Information System (GIS) techniques using classical classification Region Growing Algorithm. The research shows that NIR image classification result is more reliable than the result from RGB images.