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The aim of the research was a spatial and functional analysis of the accessibility of retail food environments in relation to the inhabitants of dispersed settlements who are socially and geographically disadvantaged in purchasing g food. The consumer behavior and food shopping habits of the inhabitants of these areas largely depend on the spatial and functional characteristics of the dispersed settlement and the surrounding area. In terms of food consumption, an important determinant is the availability of convenience stores, defined by the economic and physical ability to access food sources. The ability to access stores is strongly influenced by transport options and transport infrastructure. The investigated area belongs to a group of specific areas with dispersed settlements. This type of settlement, typical in the mountains of Slovakia and on the border with the Czech Republic, can also be found around the town of Nová Baňa, located in the west of central Slovakia. This area consists of two towns and 12 municipalities and is referred to as the “Novobanská štálová oblasť ”. These specific territories are characterized by a lack of access to fresh and affordable food, which can contribute to social disparities in diet and endanger people's health with various serious diseases. Spatial identification of areas with difficult access to food stores in the Novobanská štálová area has been a pioneering attempt to visualize areas with the highest demand for improvement in food access, and this process may be helpful in identifying other areas with similar characteristics. The methods utilized represent an accessible, transparent and reproducible process for assessing the accessibility of grocery stores. These methods can be used for cost-effective, periodic surveillance and meaningful engagement with communities, retailers and policy makers. The conclusions and results of our research should positively contribute to the growing debate on the inequality of living conditions and marginalization of rural municipalities.

In the report we concentrate on the influences of water-induced morphodynamic processes and surface flow on the development of tarns in alpine environment conditions of selected valleys in the High Tatras. Model areas are represented by higher basins parts in the Malá Studená valley and the Veľká Studená valley, where we confirmed that slope-gravitational processes in the form of rockfall, water-gravitational processes in the form of debris flows, but also fluvial-proluvial processes as the accumulation of the soft fractions from the area of debris cones take part in the material deposition in the tarns. In this context we focused on the creation of the model of spatial distribution of the water-induced potential of material deposition in drainage tarn basins. The model includes three basic factors: slope and curvature of the relief and land cover character. Map processing with GIS technologies was done on the basis of a 3-D relief model, which allowed the locating of the local erosion bases areas, where the material could be accumulated. The achieved results confirmed the hypothesis that tarn basin development of the alpine environment is subordinated to permanent backfilling as a consequence of the cumulative influence of the several processes connected with rainfall and the runoff regime of the drainage basins.

During the years 2010-2012, we observed the spatial activity of long-eared owls by the radio telemetry in an agricultural land. The average home range size of tracked long-eared owls for 100 and 95% minimum convex polygon (MCP) was 415.93 and 350 ha, respectively. Between the breeding and the non-breeding season, we did not record significant differences in the size of home ranges. Open land units (meadows and arable lands) belonged to the most abundant land units in the home ranges of tracked owls (mean for 100 and 95% MCP was 24.6 and 24.3%, respectively). Forest edges with their ecotone character also represented the abundant land unit (mean for 100 and 95% MCP was 11.4 and 10.6%, respectively). An amount of built-inhabited areas in home ranges (mean for 100 and 95% MCP was 8.2 and 10.1%, respectively) correlated positively with their size (Spearman rank correlation: for 100% MCP: rs = 0.83, p