Soil quality is one of the most important factors determining the potential for obtaining a high profit from farming. The agricultural quality of soils is described by soil quality classes, and the suitability of soils for growing particular plants or plant communities is described in terms of soil-agricultural complexes. A unified soil classification has been developed for the entire area of Poland, which takes into account the morphological features and physical properties of Polish soils.

Invasive alien species (IAS) are among the leading threats to biodiversity, food security and human well-being. Opuntia (prickly pear cactus) is one of the most widespread and naturalized in the arid and semi-arid areas of Kenya, with extreme effects on rural livelihoods and the environment. However, comprehensive information on the status of invasion in the country is lacking, which is crucial for developing strategies for prevention and management.

Land degradation is one of the most pressing problems ensuring sustainable use of land. In order to provide a clear understanding of land degradation and its risks, as well as to implement unified measures for prevention of land degradation in Latvia, the Land Management Law came into force in 2015. It individually defines the concepts of land and soil degradation, thus separating them from each other, as well as clarifying the term “degraded territory”.

This article reviews the initiatives for setting up rational use and protection of agricultural lands in order to ensure accelerated growth of the agricultural sector of the Russian Federation, enhancing its sustainability, efficiency, competitiveness, and environmental safety.

In the structure of the land fund of the Altai Region the category of agricultural lands is the most extensive, it is more than 11.5 million hectares. More than 6.1 million hectares belong to individual citizens. There are more than 5 million hectares of state and municipal ownership. The rest of the lands are owned by legal entities. There were analyzed the natural and climatic conditions of the land fund of the Altai Region and its patterns in the natural subzones.

Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. This study extracted agricultural fields in the former homelands of Venda and Gazankulu in Limpopo Province, South Africa.

Determining areas affected by forest succession is one of the main tasks aimed at shaping rural areas. Effective determination of the parameters of the dynamics of forest succession in areas used for agriculture is the basis for understanding the phenomenon of land cultivation abandonment. Understanding it allows to implement a proper policy limiting the negative effects of giving up agricultural production. There are many methods to determine forested areas. The most popular group of the methods includes those that rely on the use of LiDAR data.

Increase in use of biomass as renewable source of energy in Europe is tightly linked to the policies aimed at mitigation of climate changes i.e. reductions of greenhouse gas emissions. Both for assessment of the carbon sequestration and emissions as well as for assessment of potential amounts of biomass for renewable energy, information of land cover dynamics are essential. Therefore, the aim of our study was to improve accuracy of estimates of the land use changes in the time period between 1990 and 2014.

The study represents results on remote sensing methods based evaluation of land use and land use changes in former and existing peat extraction areas in Latvia. The aim of the study is to elaborate activity data set for the National GHG inventory for the wetlands remaining wetlands for peat extraction. The study results provide sufficient data for application of the default emission factors for the peat extraction sites and flooded lands.

The USDA Natural Resources Conservation Service (NRCS) developed the Mississippi River Basin Healthy Watersheds Initiative (MRBI) program to improve the health, water quality and wildlife habitat within the Mississippi River Basin. Lake Conway Point Remove (LCPR) watershed was identified as one of the watersheds for the MRBI program implementation. The goal of this paper is to evaluate the effectiveness of the MRBI program in LCPR watershed using a computer simulation model.