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Context Soil erosion is a key process of landscape degradation that affects ecosystem stability and spatial functionality. By demonstrating how environmental variables influence soil erodibility in heterogeneous areas, this study improves understanding at the landscape scale, which is critical for sustainable land management. Objectives The objectives were (1) to develop an integrated and explainable modelling framework for predicting soil erodibility and (2) to disentangle the relative and interactive effects of climatic, topographic and vegetation variables using interpretable machine learning and structural models. Methods The study was conducted in a geomorphologically diverse region in Serbia. Environmental variables representing climate, topography and vegetation were used to assess their influence on soil erodibility. Predictive analysis was combined with local interpretability and structural assessment techniques to capture the spatial relevance and underlying relationships. Results Climatic variables were the most influential determinants of soil erodibility, with hydrological and thermal regimes showing dominant effects. Topographic predictors, particularly elevation and valley depth, showed moderately positive associations, while vegetation indices had limited explanatory power. The analysis revealed threshold responses and spatial heterogeneity, suggesting non-linear, context-dependent dynamics. Climate and vegetation were negatively associated with erodibility, while topographic complexity made a positive contribution. Conclusions This study presents an integrated framework that combines predictive modelling with ecological interpretation to explain soil erodibility in complex terrain. The approach improves modelling transparency and identifies key environmental interactions that influence erosion risk. In line with soil protection policy, the framework supports spatially informed mitigation planning and provides a transferable tool for landscape-level decision making.

In this paper, various spatial modelling techniques were applied to analyse changes in soil cover and their impact on soil erosion in the Oplenac wine-producing area in Serbia in the past (1985 and 2013) and in the future (with predictions for 2041). The Integrated Valuation of Ecosystem Services and Trade-offs Sediment Delivery Ratio (InVEST SDR) model and the Modules for Land Use Change Evaluation (MOLUSCE) model, integrated with methods of remote sensing, were successfully applied and were shown to be valid tools for predicting the impact of Land Use Land Cover (LULC) changes when estimating soil loss. The results revealed that the greatest impact of land use changes between 1985 and 2013 was on a reduction in areas under vineyards and an extension of meadow and pasturelands as an individual and social response to economic conditions during the research period. The forecast for 2041 reflected the trends observed in the previous period, with the greatest changes witnessing an increase in urban areas and a decrease in areas of arable land. It was also found that the effect of LULC changes on spatio-temporal patterns in the Oplenac wine-producing area did not have a major impact on soil loss, meaning this area, with its good agro-climatic characteristics, is suitable for the intensification of agricultural production.

The focus of this research on children’s playgrounds with artificial surfaces aimed to establish levels of potentially toxic elements (PTEs) in dust, their origin, and impact on children at 15 playgrounds: 9 on school grounds and 6 on day nurseries in Belgrade (Serbia). Soil samples were taken from the immediate vicinity of the playgrounds to establish the origin of PTEs in the dust samples. Soil analyses revealed the lithogenic origin of Co, Cr, Ni, Fe, Mn, As, Cd, Cu, Pb, and Zn and the anthropogenic origin of As, Cd, Cu, Pb, and Zn. However, in the dust samples, the origin of the elements was different with As, Co, Fe, and Mn originating from the surrounding soil; Cr and Ni levels affected by both atmospheric deposition and the surrounding soil; Cd, Pb, and Zn concentrations impacted by atmospheric deposition; and Cu levels affected by factors of a local character. No noncancer risk was found for any of the individual elements investigated, nor for any of the playgrounds being studied, while a minimal cancer risk was found from As with values greater than 1E−6 at almost all the sites. Based on the results obtained for the spatial distribution of individual PTE levels, it was determined that the surrounding soil and atmospheric deposition have an almost equal impact on noncancer risk values.

The primary focus of this research was the chemical fractionation of potentially toxic elements (PTEs) and their presence in several industrialised cities in Serbia. Furthermore, their origin, contamination levels, and environmental and human health risks were assessed. The results indicated that the examined soils were characterised by slightly higher Cu, Ni, Pb, and Zn levels than those set by European and national regulations. These elevated Cu, Pb, and Zn concentrations were caused by intensive traffic and proximity to industry, whereas the higher Ni levels were a result of the specific geological substrate of the soil in the study area. The environmental risk was found to be low and there was no enrichment/contamination of the soil with these elements, except in the case of Pb, for which moderate to significant enrichment was found. Lead also poses a potential non-carcinogenic risk to children through ingestion and requires special attention due to the fact that a significant proportion of this element was present in the tested soil samples in a potentially available form. Analysis of the health risks showed that children are more at risk than adults from contaminants and that ingestion is the riskiest exposure route. The carcinogenic risk was within the acceptable limits.

The aim of this study is to determine the level and source of pollution by potentially toxic elements (PTEs) due to torrential floods in the catchment area of the Drina River under complex geological conditions. The degree of soil and sediment pollution by PTEs was estimated by calculating the Pollution Index (PI) and the Geo‐accumulation index (Igeo). Sources of PTEs were determined using Principal component analysis (PCA) for soil and sediment and the Positive Matrix Factorisation (PMF) model for sediment. To fully include the spatial component when determining the source of PTEs, Bivariate Local Moran's I analysis was also applied. By comparing the applied methods, it was determined that PCA is suitable for determining the sources of PTEs in soil and for investigating the sedimentation process in sediment, while the PMF model is more suitable for determining the sources of PTEs in sediment. It was also determined that when the geological substrate is rich and after high‐intensity flooding, there is an increase in As, Cd, Co, Cu and Fe content in sediment compared with soil. Arsenic was partially impacted by anthropogenic factors, with Igeo values for soil (16.21%) and sediment (21.76%) at the polluted level.

Alluvial soils of valleys of the Danube and Mlave rivers represent priority development areas with favorable conditions for life, agriculture and tourism in eastern Serbia. Operation of the thermal power plant Kostolac results in the emission of potentially toxic pollutants into the air, water and land. The goals were to determine the soil pollution with inorganic pollutants using different pollution indices, to identify of the sources of pollutants by means of principal component analysis and the loading of each factor for individual element assessed by multi-linear regression analyses. Chemical characteristics of the studied area resulted in division of the area into four impact zones upon the distance from main pollutants (power plant blocks and ash disposal dumps). There was no established soil pollution with potentially toxic elements in bulk of the agricultural territory. Two principal components (PC1 and PC2) explained about 73% of variance. Three studied elements (As, Cu and Pb) showed anthropogenic origin of their most concentrations in soil, while other elements (Cd, Co, Cr, Ni and Zn) were of a natural (geological) origin. Single pollution index showed moderate pollution level by Ni. Integrated Nemerow pollution index showed low to no pollution levels, indicating slight ecological risk. There were no established limitations for agricultural production in the studied area, except for the only spot polluted by As due to the great flooding event in the studied year.

The mobility (fractionation) of rare earth elements (REEs) and their possible impacts on ecosystems are still relatively unknown. Soil samples were collected from two sites in central Serbia, an unpolluted mountain region (site 1) and a forest near a city (site 2). In order to investigate REE fractions (acid-soluble/exchangeable, reducible, oxidizable, and residual) in soils, BCR sequential extraction was performed. Additionally, the content of REEs was also determined in stipes and caps of the mushroom Macrolepiota procera , growing in the observed sites. Sc, Y, and lanthanide contents were determined by inductively coupled plasma mass spectrometry (ICP-MS), and results were subjected to multivariate data analysis. Application of pattern recognition technique revealed the existence of two distinguished clusters belonging to different geographical sites and determined by greater levels of Sc, Y, and lanthanides in Goč soil compared to Trstenik soil. Additionally, PCA analysis showed that REEs in soil were concentrated in two groups: the first consisted of elements belonging to light REEs and the second contained heavy REEs. These results suggest that the distribution of REEs in soils could indicate the geographical origin and type of soil. The bioconcentration factors and translocation factors for each REE were also calculated. This study provides baseline data on the rare earth element levels in the wild edible mushroom M. procera , growing in Serbia. In terms of bioconcentration and bioexclusion concept, Sc, Y, and REEs were bioexcluded in M. procera for both studied sites.

Concentrations of potentially toxic elements (PTEs) (Al, As, Cd, Cr, Cu, Ni, Pb, and Zn) were measured in topsoil samples collected from parks in the cities of Salzburg (Austria), Thessaloniki (Greece), and Belgrade (Serbia) in order to assess the distribution of PTEs in the urban environment, discriminate natural (lithogenic) and anthropogenic contributions, identify possible sources of pollution, and compare levels of pollution between the cities. An assessment of the health risks caused by exposure to PTEs through different pathways was also conducted. The study revealed that, with the exception of Pb in Salzburg, levels of PTEs in the soils in polluted urban parks were higher than in unpolluted ones, but still lower than those recorded in other European soils. Results of sequential analyses showed that Al, Cr, and Ni were found in residual phases, proving their predominantly lithogenic origin and their low mobility. In contrast, the influence of anthropogenic factors on Cu, Pb, and Zn was evident. Site-dependent variations showed that the highest concentrations of As, Cu, Pb, and Zn of anthropogenic origin were recorded in Salzburg, while the highest levels of Al, Cr, and Ni of lithogenic origin were recorded in Belgrade and Thessaloniki, which reflects the specificity of the geological substrates. Results obtained for the health risk assessment showed that no human health risk was found for either children or adults.

This paper aims to improve the methodology and results accuracy of MEDALUS model for assessing land degradation sensitivity through the application of different data detail levels and by introducing the application of Ellenberg indices in metrics related to vegetation drought sensitivity assessment. For that purpose, the MEDALUS model was applied at 2 levels of detail. Level I (municipality level) implied the use of available large-scale databases and level II (watershed) contains more detailed information about vegetation used in the calculation of the VQI and MQI factors (Fig. S6 ). The comparison was made using data based on CORINE Land Cover (2012) and forest inventory data, complemented with object-based classification. Results showed that data based on forest inventory data with the application of Ellenberg’s indices and object-based classification have one class more, critical (C1 and C2) and that the percentage distribution of classes is different in both quantitative (area size of class sensitivity) and qualitative (aggregation and dispersion of sensitivity classes). The use of data from Forest Management Plans and the application of Ellenberg’s indices affect the quality of the results and find its application in the model, especially if these results are used for monitoring and land area management on fine scales. Remote sensed data images (Sentinel-2B) were introduced into the methodology as a very important environmental monitoring tool and model results validation.

In urbanized areas, mitigating the negative effects of pollutants from various anthropogenic sources is one of the most important issues in planning urban functioning and development. In this sense, urban vegetation plays one of the most important roles. The aim of this study was to investigate the performance of network analysis (NA) as a novel and potential method for determining different associations between potentially toxic elements (PTEs) in leaves of urban trees, their accumulation capacity and ecophysiological response to different types of pollution in urban environments. The results of NA showed that there is no association between elements in species that have lower or higher efficiency in uptake of PTEs, leading to the conclusion that the elements do not depend on mutual association but on accumulation itself. It was also found that there are differences in the content of photosynthetic pigments and carotenoids among the studied species, but these differences are not reflected in the values of the photosynthetic efficiency parameters. Overall, the studied species have good ecophysiological potential for growth and existence in the urban environment, despite the varying ability to accumulate elements and the different associations between them. This is the first study to investigate the interactions between PTEs in leaves of urban tree species using NA and provides a good basis for future research under different environmental conditions.