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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.

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Agricultural, industrial, and human activities in general threaten water quality, as well as the biotic integrity of aquatic ecosystems. The increased concentration of total nitrogen (TN) and phosphorus (TP) affects high concentrations of chlorophyll (Chl-a) in freshwater ecosystems, which causes the process of eutrophication of the waters of shallow lakes. Eutrophication, as an alarming threat to the global quality of surface waters, affects environmental degradation. This research assesses the risk of eutrophication caused by chemical oxygen demand (COD), TN, TP, Secchi disk (SD), and Chl-a using the trophic level index (TLI) in Palic and Ludas lakes. Both lakes have been nominated as potential Natura 2000 areas in 2021 because they belong to important bird areas, and Ludas Lake has the status of Ramsar site 3YU002. In the research period from 2011 to 2021, the results showed that the lake is in an extremely eutrophic state. Laboratory analyses indicate an increased concentration of Chl-a during autumn. In the paper, the normalized difference chlorophyll index (NDCI) was calculated using the Google Earth Engine platform, and the result indicates the loading of the lake throughout the year, with an emphasis on winter, summer, and autumn. By using satellite images and remote sensing, it is possible to determine the most degraded spots, which is a help to the researchers in choosing the places where the samples will be taken and thus act more efficiently on the most endangered parts, as well as reduce the costs of standard in situ methods.

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Current climate warming is expected to continue in coming decades, whereas high N deposition may stabilize, in contrast to the clear decrease in S deposition. These pressures have distinctive regional patterns and their resulting impact on soil conditions is modified by local site characteristics. We have applied the VSD+ soil dynamic model to study impacts of deposition and climate change on soil properties, using MetHyd and GrowUp as pre-processors to provide input to VSD+. The single-layer soil model VSD+ accounts for processes of organic C and N turnover, as well as charge and mass balances of elements, cation exchange and base cation weathering. We calibrated VSD+ at 26 ecosystem study sites throughout Europe using observed conditions, and simulated key soil properties: soil solution pH (pH), soil base saturation (BS) and soil organic carbon and nitrogen ratio (C:N) under projected deposition of N and S, and climate warming until 2100. The sites are forested, located in the Mediterranean, forested alpine, Atlantic, continental and boreal regions. They represent the long-term ecological research (LTER) Europe network, including sites of the ICP Forests and ICP Integrated Monitoring (IM) programmes under the UNECE Convention on Long-range Transboundary Air Pollution (LRTAP), providing high quality long-term data on ecosystem response. Simulated future soil conditions improved under projected decrease in deposition and current climate conditions: higher pH, BS and C:N at 21, 16 and 12 of the sites, respectively. When climate change was included in the scenario analysis, the variability of the results increased. Climate warming resulted in higher simulated pH in most cases, and higher BS and C:N in roughly half of the cases. Especially the increase in C:N was more marked with climate warming. The study illustrates the value of LTER sites for applying models to predict soil responses to multiple environmental changes.