A geodiversity assessment is one of the basic steps in the development of geoprotection activities. It is important to establish parameters that quantify the elements and locations of abiotic nature. Here, the focus is on those who are richer than the average population. In doing so, it is possible to manage areas for the protection of important geoheritage and develop sustainable activities, e.g., geotourism. The monitored territory (Slovenské rudohorie Mts.) lies in southeast Slovakia and occupies an area of 4986 km². The geodiversity assessment is based on overlaying a grid onto different maps at a scale of 1:500,000, where the final geodiversity index is the sum of six indices calculated in 5 × 5 km grid squares. These indices consist of a geological index, a geomorphological index (composed of two sub-indices: geomorphological subdivision and morphological–morphometric types), a hydrological index (composed of three sub-indices: the type of aquifer, the density of the river network, and the occurrence of springs and mineral waters), a soil index, a tectonic index, and a mineral resources index (composed of four sub-indices: the occurrence of ore, non-ore, construction, and energy resources). The resulting geodiversity index map is presented in the form of five isoline classes: very high (10% of the monitored area), high (28%), medium (32%), low (23%), and very low (7%). The geodiversity map of the territory of the Slovenské rudohorie Mts., together with the indices, creates a useful tool for conservation, management, sustainability programs, and education at the national level. However, Slovak legislation does not mention the concept of geodiversity, its protection, valuation, restoration, or responsible usage. Only its specific forms and processes are preserved as a natural resource supporting biodiversity. Considering the mineralogical richness of the area, some locations with a very high geodiversity may be the focus of mineral exploration. It is very important to set up appropriate landscape management for these sites. Valuable geotopes located in biodiversity cold spots that are not subject to protection within the state’s nature protection program should be considered as small protected areas (up to 1000 ha) at the fourth or fifth level of protection under Act No. 543/2002 Coll. or could form the core areas of a possible Geopark.

Landslides are the most common geodynamic phenomenon in Slovakia, and the most affected area is the northwestern part of the Kysuca River Basin, in the Western Carpathian flysch zone. In this paper, we evaluate the susceptibility of this region to landslides using logistic regression and random forest models. We selected 15 landslide conditioning factors as potential predictors of a dependent variable (landslide susceptibility). Classes of factors with too detailed divisions were reclassified into more general classes based on similarities of their characteristics. Association between the conditioning factors was measured by Cramer’s V and Spearman’s rank correlation coefficients. Models were trained on two types of datasets—balanced and stratified, and both their classification performance and probability calibration were evaluated using, among others, area under ROC curve ($AUC$), accuracy ($Acc$), and Brier score ($BS$) using 5-fold cross-validation. The random forest model outperformed the logistic regression model in all considered measures and achieved very good results on validation datasets with average values of $AU{C}_{val}=0.967$, $Ac{c}_{val}=0.928$, and $B{S}_{val}=0.079$. The logistic regression model results also indicate the importance of assessing the calibration of predicted probabilities in landslide susceptibility modelling.

Territory of Kysuce is characterised by a high proportion of the traditional agricultural landscape (TAL), which occupy almost 12% of the area. Two types of TAL were allocated here. The first type is represented by TAL with dispersed settlement. The second type is represented by TAL of arable land and grassland landscape. The largest representation has typical forms of anthropogenic relief (FAR). TALs represent the most diverse mosaic of man-made habitats and natural habitats too. In the past, there were the largest representations of arable land and regularly mown meadows. Currently, these areas are dominated by abandoned meadows (fallow meadows), occasionally grazed pastures and meadows. Arable land is represented only minimally. The large part of areas is overgrown by non-forest woody vegetation or passes to the forest vegetation. In this process of landscape changes, significant changes in biodiversity of the areas are realised. Successively, the species of segetal and ruderal vegetation are less represented and species of forest vegetation obtained greater representation. In the process of mapping and evaluation, FAR - shape and orientation of plots, types of balks and some of their basic characteristics - were monitored.

The landslide susceptibility was assessed based on multivariation analysis. The input parameters were represented by lithology, land use, slope inclination and average annual precipitation. These parameters were evaluated as independent variables, and the existing landslides as dependent variables. The individual input parameters were reclassified and spatially adjusted. Spatial analysis resulted in 15 988 combinations of input parameters representing the homogeneous condition unit (HCU ). Based on the landslide density within individual units, the HCU polygons have been classified according to landslide risk into stable, conditionally stable, conditionally stable and unstable (subdivided into low, medium and high landslide risk). A total of 2002 HCU s were affected by landslides, and the remaining 13 986 were not affected. The total HCU area affected by landslides is about 156.92 km2 (20.1%). Stable areas covered 623.01 km2 (79.8%), and conditionally stable areas covered 228.77 km2 (29.33% out of this area). Unstable areas were divided into three levels of landslide risk - low, medium and high risk. An area of 111.19 km2 (14.3%) represents low landslide risk, medium risk 29.7 km2 (3.8%) and 16.01 km2 (2%) represents high risk. Since Zlín Formation lithological unit covers approximately one-third of the study area, it also influences the overall landslide risk assessment. This lithological formation covers the largest area within all landslide risk classes as well as in conditionally stable areas. The most frequent slope class was in the range of 14-19. The higher susceptibility of Zlín Formation to landslides is caused mainly by different geomorphological value of claystone and sandstone sequence. The higher share of claystone results in higher susceptibility of this formation to exogenous degradation processes

Traditional agricultural landscapes (TAL) are landscapes in which primarily traditional sustainable agricultural practices are currently carried out and where biological diversity is conserved thereby. The objective of this paper is to evaluate the extension of traditional landscape structures and their relationship to geological substrate and slope processes (landslides). The evaluation was concentrated on two types of TAL (extended to Kysuce region): TAL with dispersed settlements (subtype 1a and b) and TAL of arable-land, grasslands and pastures (subtype 4a and b). Localities with typical dispersed settlements of subtype 1a mostly occur on Zlin formation and cover 707.9 ha. On the deluvial formation, this type extends to 531.8 ha and on the Solaň formation, to 403.6 ha. The active landslides are mostly represented in the TAL of subtype 4a (cadastral areas of Čadca and Oščadnica villages), of subtype 4b (cadastral areas of Riečnica and Svrčinovec villages) and of subtype 1a (cadastral area of Svrčinovec village). The largest representation of potential landslides is on the subtype 4a, subtype 1a and subtype 4b.

Landslides represent one of the most frequent geodynamic phenomena in Slovakia. This contribution focuses on the relations of the selected landscape attributes and landslides in flysch area of the Western Carpathians. We presented three statistical methods of assessing and making a prognosis of the landslide hazard: multivariate, factor and zonal analysis. These methods complement each other and their aim is to analyse and recognize natural processes, which trigger the landslides in a more complex way. With multivariate analysis, we evaluated mutual interactions between the input attributes and determined their level of impact on landslide hazard. Using factor analysis, we extracted latent factors with the highest factor loads and identified the main factors that could trigger landslides. Areal extension of landslides in individual landscape attributes was expressed by zonal analysis, based on the superposition of the individual vector layers. Our evaluation shows that the slope predisposition to landslides is predominantly given by the geological, hydrogeological and morphological conditions. The proposed landslide risk assessment procedure allows for the functional sustainable development of the landscape development planning documents. The results presented in this paper are relevant for the area formed by flysch rock (Alps and Carpathians), but also for areas where clastic sediments alternate rhythmically.