Invasive species are now considered the second biggest threat for biodiversity and have adverse environmental, economic and social impacts. Understanding its spatial distribution and dynamics is crucial for the development of tools for large-scale mapping, monitoring and management. The aim of this study was to predict the distribution of invasive Fallopia taxa in Slovakia and to identify the most important predictors of spreading of these species. We designed models of species distribution for invasive species of Fallopia—Fallopia japonica—Japanese knotweed, Fallopia sachalinensis—Sakhalin knotweed and their hybrid Fallopia × bohemica—Czech knotweed. We designed 12 models—generalized linear model (GLM), generalized additive model (GAM), classification and regression trees (CART), boosted regression trees (BRT), multivariate adaptive regression spline (MARS), random forests (RF), support vector machine (SVM), artificial neural networks (ANN), maximum entropy (Maxent), penalized maximum likelihood GLM (GLMNET), domain, and radial basis function network (RBF). The accuracy of the models was evaluated using occurrence data for the presence and absence of species. The final simplified logistic regression model showed the three most important prediction variables lead by distances from roads and rails, then type of soil and distances from water bodies. The probability of invasive Fallopia species occurrence was evaluated using Pearson’s chi-squared test (χ${{}_{}^2}_1^{}$). It significantly decreases with increasing distance from transport lines (χ${{}_{}^2}_1^{}$ = 118.85, p < 0.001) and depends on soil type (χ${{}_{}^2}_1^{}$ = 49.56, p < 0.001) and the distance from the water, where increasing the distance decrease the probability (χ${{}_{}^2}_1^{}$ = 8.95, p = 0.003).

The aim of our study is to reconstruct the human influence on the current vegetation in selected parts of the cadastral territory of Svätý Jur. Svätý Jur is a town with more than 700 years of winemaking tradition, located on the oak-hornbeam-forested slopes of the Little Carpathians and surrounded by terraced vineyards. Human activity has changed the natural landscape of Svätý Jur since the Neolithic period. It is possible to trace the influence of past human activities on current vegetation by mapping vegetation onto historical landscape structures. For our research, we chose two study sites—Biely Kameň Castle and Hillfort Neštich. Our research has shown that there are significant differences in plant communities as well as in their environmental requirements between the investigated sites. Nitrophilous species indicative of human activities were recorded at both sites. At Hillfort Neštich, we recorded the occurrence of an interesting combination of species of Atropa, Phytolacca and Rubus. We have recorded their current occurrence and searched for its causes. In addition, we evaluate the current state of the vegetation of the castle and the hillfort in relation to the human past and today’s use.