TY - BOOK AU - SOHRAB, SEYEDEH MEHRMANZAR AU - Szilassi, Péter TI - Impact of Seasonal Heating and the COVID-19 Pandemic on PM10 Levels in European Cities PY - 2025 SP - 67 UR - https://m2.mtmt.hu/api/publication/36162784 ID - 36162784 LA - English DB - MTMT ER - TY - JOUR AU - Dítě, Zuzana AU - Šuvada, Róbert AU - Tóth, Tibor AU - Dítě, Daniel TI - Diversity Drivers of Inland Saline Vegetation—What Unites Them and Divides Them? JF - ECOLOGY AND EVOLUTION J2 - ECOL EVOL VL - 15 PY - 2025 IS - 5 PG - 17 SN - 2045-7758 DO - 10.1002/ece3.71249 UR - https://m2.mtmt.hu/api/publication/36144295 ID - 36144295 AB - The current knowledge on vegetation of salt‐affected habitats has been advanced, calling for a supra‐regional assessment. We evaluate the common and distinct features of inland saline/alkaline landscapes of temperate Europe in terms of floristic composition, vegetation types, and abiotic conditions to find out what are the main drivers of their spatial variability and diversity. We delineate 13 subregions with a high occurrence of inland saline/alkaline habitats and by utilizing extensive field surveys in the past 20 years we analyze factors presumably affecting their variability: the size of the area, its proximity to the seacoast, and bioclimatic variables. We subjected them to descriptive statistics and ANOVA; principal components analysis was performed to reduce the number of dimensions for each dataset; correlation analysis was conducted to identify the statistical dependence between the diversity of subregions and observed factors. Despite the general uniformity typical for saline habitats, we observed that the subregions exhibit significant dissimilarity. Among the 107 autochtonous plant specialists, they have in common only one obligate and five facultative halophytes ( Puccinellia distans agg.; Carex distans , Juncus gerardi , Lotus tenuis , Schoenoplectus lacustris subsp. glaucus and Trifolium fragiferum ). The size of the subregion and its distance from the nearest seas did not affect the overall variability. Higher halophyte richness is driven by the broader range of abiotic and biotic prerequisites, especially the specific climate featuring summer evaporation causing various salinization levels in the soil, which is the most pronounced in the central subregions of the Pannonian Lowland. In its peripheries, the effect of specific conditions is lower, generating a reduced richness of halophytes, and in the subregions of the North German and Polish Plain and the Transylvanian Basin, the edaphic conditions (salt springs from salt deposits) take the main role, resulting also in a decreased halophyte richness and variability. LA - English DB - MTMT ER - TY - JOUR AU - Hernádi, Hilda Ágnes AU - Makó, András AU - Lovász, Zsófia AU - Szoboszlay, Sándor AU - Harkai, Péter AU - Háhn, Judit AU - Kocsis, Mihály AU - Schöphen, Eszter AU - Tóth, Zoltán AU - Bidló, András AU - Rékási, Márk AU - Ferincz, Árpád AU - Csitári, Gábor AU - Barna, Gyöngyi TI - Investigation of Sediment Characteristics and Nutrient Content in Relation to Pilot Dredging at Kis-Balaton Water Protection System (Hungary) JF - HYDROLOGY J2 - HYDROLOGY-BASEL VL - 12 PY - 2025 IS - 5 PG - 32 SN - 2306-5338 DO - 10.3390/hydrology12050112 UR - https://m2.mtmt.hu/api/publication/36123108 ID - 36123108 AB - The internal nutrient load of natural and artificial lakes is a worldwide problem. To minimize its potential risks, the dredging of the highly eutrophic shallow first reservoir of Kis-Balaton (Lake Hídvégi) is planned in the near future. Our study aimed to evaluate the potential effects of dredging and desiccation on water and sediment quality. Experimental dredging was carried out in the northernmost part of Lake Hídvégi (2023). The physical and chemical characteristics of the sediment and nutrient loss during desiccation were examined in a column experiment. The relationships between the properties of leachate and sediment were identified using principal component analysis (SPSS). Spatial variations in sediment particle size distribution, nutrient content, and other chemical parameters (e.g., organic matter) suggest that deeper core sampling than the depth of preliminary dredging is necessary for a more comprehensive assessment of potential impacts. We found that spatiotemporally varying the dominance of chemical and biological processes affects the amount of and changes in phosphorus fractions under lake-/sediment-specific conditions. The readily available calcium- and iron-bound phosphorus, texture, and organic matter content of the sediment play an important role in phosphorus fixation/release. Based on our results, dredging and desiccation are feasible within the intended operating parameters. The sediment’s composition does not preclude potential agricultural disposal. LA - English DB - MTMT ER - TY - CONF AU - Csikós, Nándor AU - Mészáros, János AU - Takács, Katalin AU - Tóth, Brigitta AU - Hermann, Tamás AU - Éva, Ivits AU - Tóth, Gergely ED - European, Geosciences Union General Assembly TI - Black Soils of Eurasia: two-decade environmental analysis (2001-2021) T2 - EGU General Assembly 2025 C1 - Bécs PY - 2025 SP - 1 UR - https://m2.mtmt.hu/api/publication/36118842 ID - 36118842 LA - English DB - MTMT ER - TY - JOUR AU - Schillaci, C. AU - Scarpa, S. AU - Yunta, F. AU - Lipani, A. AU - Visconti, F. AU - Szatmári, Gábor AU - Balog, Kitti AU - Koganti, T. AU - Greve, M. AU - Bondi, G. AU - Kargas, G. AU - Londra, P. AU - Kaya, F. AU - Papa, G.L. AU - Panagos, P. AU - Montanarella, L. AU - Jones, A. TI - Corrigendum to “Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topsoil data” [Geoderma 454 (2025) 117199] (Geoderma (2025) 454, (S0016706125000370), (10.1016/j.geoderma.2025.117199)) JF - GEODERMA J2 - GEODERMA VL - 456 PY - 2025 SN - 0016-7061 DO - 10.1016/j.geoderma.2025.117253 UR - https://m2.mtmt.hu/api/publication/36100077 ID - 36100077 N1 - European Commission, Joint Research Centre (JRC), Ispra, Italy University College London, United Kingdom CSIC Centro de Investigaciones sobre Desertificación-CIDE Valencia, Spain Institute for Soil Sciences, Centre for Agricultural Research, HUN-REN, Budapest, Hungary Agroecology Dept, Aarhus University, Denmark TEAGASC, Dublin, Iceland Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, Athens, Greece Isparta University of Applied, Sciences Faculty of Agriculture Department of Soil Science and Plant Nutrition, Turkey University of Palermo, Italy Export Date: 22 April 2025; Cited By: 0; Correspondence Address: C. Schillaci; European Commission, Joint Research Centre (JRC), Ispra, Italy; email: calogero.schillaci@ec.europa.eu; CODEN: GEDMA AB - The Authors regret overlooking errors in: 1. Affiliation 1 should be replaced “JRC European Commission, Ispra, Italy”. The correct affiliation “European Commission, Joint Research Centre (JRC), Ispra, Italy”2. Affiliation 4, Budpest, has a typo, Budapest is correct.3. NH4+ was incorrectly reported in the Abstract, NH4+ is correct.4. A space is required between “empirically-derivedpedotransfer function”5. Abstract “numerosity and depth and availability “ replace with “numerosity, depth and availability”6. In the last paragraph of the Introduction, a space is required between “empirically-derivedPTF”7. In the following paragraph after eq. 4, “%SP” need to be changed to “SP%”.8. In last sentence of section 3.2, Fig. 5 of the supplementary materials is referenced instead of Fig. 4 of the supplementary materials.9. In first paragraph of section 3.4, Fig. 5 is referenced instead of Fig. 6. The part of the sentence in quotes 'For the classification task' is a typo and should be removed.10. In first paragraph of section 3.5, Fig. 2 and supplementary Fig. 5 are referenced instead of Fig. 1 and supplementary Fig. 4.11. In last sentence of paragraph 3.5, Fig. 4 needs to be referenced here instead of Fig. 6 and 7.12. Page 3, we replaced “around 300.000 land use observations”, with " around 300,000 land use observations".13. Eq (1) EC1:514. Page 6: Parent material (Panagos et al., 2022n)15. Title of the section 3.2 “ Descriptive ECe 2018 per NUTS 0” should be replaced with “Descriptive ECe 2018 per country”16. Title of the section “Model prediction 2018, EU and NUTS 2-Distribution of Ece” should be replaced with “Model prediction and EU-regional Distribution of ECe”17. In Figure 5, the observed data are represented in the left-hand side column, whereas the predicted data are in the right column.18. Page 13: the following sentence “However the soil monitoring methods (including stratified sampling) proposed in the Soil Monitoring Law (SML) proposal (an order of magnitude more samples) with the incorporation of the soil monitoring Schemes from Member States will increase the monitoring points and therefore be able to capture the spatial variability” should be replaced with “However, the Soil Monitoring Law (SML) proposal includes advanced soil monitoring methods (e.g. stratified sampling) which will also increase the number of sampled locations by an order of magnitude by incorporating national soil monitoring schemes (Panagos et al., 2024).19. In page 13: the following sentence “Thanks to the new soil monitoring framework will expect in the near future a substantial increase in data availability… ” should be replaced with “Thanks to the proposal for the Soil Monitoring and Resilience Law, it is expected a substantial increase in data availability in the near future……”20. Page 14: the following sentence: “The availability of soil data can be sparse and inconsistent across a continental area, leading to an uneven sampling density, this study addressed the need for additional samples in some areas where salinity is considered a soil threat.” should be replaced with “The availability of soil data can be sparse and inconsistent across a continental area, leading to an uneven sampling density. This study addressed the need for additional samples in some areas where salinity is considered a soil threat.”21. References section of the published article where the reference by Kargas et al. (2022) is missing, find the full reference below: Kargas, G., Londra, P. and Sotirakoglou, K. 2022. The Effect of Soil Texture on the Conversion Factor of 1:5 Soil/Water Extract Electrical Conductivity (EC1:5) to Soil Saturated Paste Extract Electrical Conductivity (ECe). Water, 14(4): 642. 10.3390/w1404064222. References section of the supplementary materials where the reference by Triantakonstantis and Detsikas (2021) is missing, find the full reference below: Triantakonstantis, D. and Detsikas, S. 2021. Applying Sustainable Agricultural Management Practices in Saline and Sodic Soils to Increase Soil Organic Carbon Sequestration Potential and Mitigate Climate Change. In FAO (2022). Halt soil salinization, boost soil productivity – Proceedings of the Global Symposium on Salt-affected Soils. 20–22 October 2021. Rome.23. Add a further Reference to support this sentence “can be used as input into the EUSO soil degradation dashboard (https://esdac.jrc.ec.europa.eu/esdacviewer/euso-dashboard/ ) (Panagos et al. 2024). Panagos P, et al., 2024. How the EU Soil Observatory is providing solid science for healthy soils. European Journal of Soil Science, doi75. 10.1111/ejss.13507.The authors would like to apologize for any inconvenience caused. © 2025 European Commission Joint Research Centre LA - English DB - MTMT ER - TY - JOUR AU - Árvai, Mátyás AU - Popa, I AU - Mindrescu, M AU - Antalfi, Eszter AU - Fehér, Sándor AU - Nagy, Balázs AU - Kern, Zoltán TI - Dendrochronological study of wooden constructions unearthed from a subalpine peat bog from Maramureș Mts, Romania JF - ARCHEOMETRIAI MŰHELY J2 - ARCHEOMETRIAI MŰHELY VL - 22 PY - 2025 IS - 2 SP - 162 EP - 173 PG - 12 SN - 1786-271X DO - 10.55023/issn.1786-271X.2025-011 UR - https://m2.mtmt.hu/api/publication/36080595 ID - 36080595 AB - Two simple wooden constructions were found in a peat bog, called ‘Vinderel 3’, located in the Maramureș Mts.(Romania). They were constructed from spruce timber and a 67-year-long floating chronology, called MM8, wasdeveloped using the cross-dated tree-ring width series of six samples. An AMS 14C age dates the wood andprovides target intervals for dendrochronological cross-dating to the late-18th century and the mid-17th century.Running statistics with the nearby reference chronologies peaked at 1664 CE, suggesting the possible fellingdate of the timber contributing to MM8. The wooden constructions were likely built soon after the felling date inthe early second half of the 17th century CE. We think that the timbered constructions can be installed at the edgeof the former lake, on the one hand, to protect the lakeshore from trampling, on the other hand, to protect thedrinking livestock from slipping to the swampy peat bog. These wooden constructions, with their inferred likelydate to the mid-17th century CE provided the earliest material evidence for the agropastoral activity in thesubalpine zone of the Maramureș Mts. LA - English DB - MTMT ER - TY - CONF AU - Szatmári, Gábor AU - Laborczi, Annamária AU - Takács, Katalin AU - Mészáros, János AU - Benő, András AU - Koós, Sándor AU - Bakacsi, Zsófia AU - Pásztor, László ED - European, Geosciences Union General Assembly TI - Recent results in spatiotemporal modelling of soil organic carbon changes in Hungary T2 - EGU General Assembly 2025 C1 - Bécs PY - 2025 DO - 10.5194/egusphere-egu25-6260 UR - https://m2.mtmt.hu/api/publication/36054842 ID - 36054842 AB - The ability of soil to store a large amount of organic carbon (SOC) is one of its most important characteristics, making it an active and indispensable participant in the global carbon cycle. SOC influences various soil related functions and services, such as agricultural productivity, water retention and management, buffering capacity against toxic elements and compounds, which are essential to provide healthy food and clean drinking water. Furthermore, SOC is widely recognized as playing a crucial role in mitigating and addressing various environmental crises and challenges, such as climate change, land degradation, declining biodiversity, water and food security. Consequently, not only soil scientists but also researchers from other disciplines, practitioners, stakeholders, and even policymakers have shown growing interest in information on the spatial and temporal variability of SOC at various scales. In the past few years, significant efforts have been made in Hungary to predict the spatial, and more recently, the spatiotemporal variability of SOC using various digital soil mapping techniques. Recently, a space-time model of SOC was developed using a combination of machine learning and space-time geostatistics to predict SOC change at point support and various aggregation levels (i.e., 1 × 1 km, 5 × 5 km, 10 × 10 km, 25 × 25 km, counties, and the entire country) for Hungary (Szatmári et al., 2024). This work is based on soil data derived from the Hungarian Soil Information and Monitoring System between 1992 and 2016, as well as spatially and temporally exhaustive environmental covariates. Notably, geostatistics plays a central role by accounting for the spatiotemporal correlation of errors, which is essential for reliably quantifying the uncertainty associated with the aggregated SOC change predictions. The performance of the developed model was assessed using five times repeated 10-fold cross-validation, yielding acceptable results. A series of SOC maps were compiled for the period between 1992 and 2016 for each support, along with the quantified uncertainty, representing a significant advancement in Hungary. Furthermore, the presented methodology can overcome the limitations of recent approaches in spatiotemporal SOC modelling, allowing the prediction of SOC and SOC change, with quantified uncertainty, for any year, time period and spatial scale. This capability addresses current and anticipated demands for dynamic SOC information at both national and international levels. The aim of this presentation is to outline the methodology developed, to highlight some methodological challenges, to present the resulting maps, and finally, but importantly, to discuss these findings in a broader context. LA - English DB - MTMT ER - TY - CONF AU - Benő, András AU - Szatmári, Gábor AU - Laborczi, Annamária AU - Kocsis, Mihály AU - Bakacsi, Zsófia AU - Pásztor, László ED - European, Geosciences Union General Assembly TI - Using a combined topsoil dataset from two soil monitoring systems to create predicted soil-physical property maps and comparing them with the predicted maps of the original datasets T2 - EGU General Assembly 2025 C1 - Bécs PY - 2025 DO - 10.5194/egusphere-egu25-19986 UR - https://m2.mtmt.hu/api/publication/36054840 ID - 36054840 AB - The constant and detailed monitoring of soil properties is crucial for having an up-to-date status of the health of our soils. This requires sufficient sampling points to meaningfully and accurately represent the soils of a whole country. Topsoil datasets can be very different regarding point density, spatial distribution and representativity. Soil sampling is also very cost- and labour-intensive, which is why combining existing national and international datasets is an efficient way to create larger datasets for the creation of accurate soil property maps. In the case of Hungary, these datasets were the Hungarian subset of the topsoil dataset of the Land Use/Cover Area frame Survey (LUCAS) and the Hungarian Soil Monitoring and Information System (SIMS). The purpose of this study is to investigate whether combining harmonized soil data from different soil monitoring systems improves the quality and accuracy of the predicted soil property maps. The physical soil properties (sand-, silt-, and clay content) were harmonized by converting the SIMS dataset to a uniform 0-20 cm depth using mass preserving splines and matching the particle size limit of the LUCAS dataset (FAO/WRB) to the SIMS dataset (USDA). After the harmonization the two datasets were merged together and Additive Log Ratio transformation was used to assure that the particle fractions add up to 100%. This resulted in y1 and y2 values which were used in Random Forest Kriging to create the predicted maps. These maps were converted back to sand-, silt-, and clay content maps. The same procedure was applied to the LUCAS and SIMS datasets resulting in their respective sand-, silt-, and clay-content maps. The particle maps of the combined dataset were compared directly to the SIMS and LUCAS particle maps using linear regression. The quality of the predicted maps were measured and compared. Soil texture maps were created from the particle fractions using the USDA soil texture triangle. The soil texture map of the combined dataset was directly compared to the LUCAS and SIMS soil texture maps using the taxonomic distance between the predicted values of the map pairs. The result of the study show, that the quality and accuracy of the combined datasets’ predicted soil property maps were only slightly better than the maps predicted by LUCAS and slightly worse than the maps predicted by the SIMS dataset. This lead us to conclude that merging datasets alone won’t improve the quality of the soil property maps and that different approaches are required. LA - English DB - MTMT ER - TY - CONF AU - Pásztor, László AU - Takács, Katalin AU - Szatmári, Gábor AU - Csikós, Nándor AU - Laborczi, Annamária AU - Benő, András AU - Koós, Sándor AU - Farkas-Iványi, Kinga AU - Bakacsi, Zsófia ED - European, Geosciences Union General Assembly TI - Regionalization of soil degradation for the support of soil district designation in Hungary T2 - EGU General Assembly 2025 C1 - Bécs PY - 2025 DO - 10.5194/egusphere-egu25-12044 UR - https://m2.mtmt.hu/api/publication/36054827 ID - 36054827 AB - The introduction of the Directive on Soil Monitoring and Resilience proposed by the European Parliament and Council is supposed to be preceded by specific preparatory works at Member State level, such as the definition of so-called soil districts together with the development of a soil monitoring system based on the elaborated zonalization. Three subsequent terms of Presidency of the Council of the European Union (Belgian, Hungarian, and Polish) aimed to finalize the concept elaboration and to legislate the Directive, so far without success. As a consequence, final delineation of soil districts could not been elaborated so far. Nevertheless, certain tests were carried out to establish a proper zonalization. The first drafts of the text of the Directive introduced a set of criteria that seems relatively simple in the legislative formulation, however, their implementation by Member States poses several number of methodological challenges. In the present paper soil health is approached from soil degradation point of view and soil districts from the regionalization of soil degradation respectively, which latter has already been addressed from time to time in the last decades. In the frame of Land Degradation Mapping Sub-project of PHARE MERA ’92 -, identification, delineation and description of Hungary’s major land degradation regions at 1:500,000 scale were accomplished by building and analyzing a digital land degradation geographic database in the late ‘90s. The applied GIS analysis techniques were mainly based on traditional cartographic methods and had not exploited the opportunities, which were later emerged in DSM. The former initiative of the Commission of the European Communities by the Thematic Strategy for Soil Protection proposed a comprehensive approach to soil protection with ample freedom on how to implement its requirements on the identification of threats and specific risk areas left to Member States. In 2007, the techniques available at that time provided by DSM together with the renewed interest in spatial delineation of areas endangered by various soil threats were combined for the recompilation of land degradation regions of Hungary. Different levels of specific threats were determined in the form of categories. For the overall characterization of degradation regions, indices were introduced serving as spatial land degradation indicators. In the last decade the Hungarian soil spatial infrastructure (HSSI) has been renewed, GSM conform digital soil maps on primary together with certain secondary, derived soil properties were elaborated in the frame of DOSoReMI@hu. The work has been continued with the modelling of certain soil functions and (degradation) processes. For the support of Soil District designation all, nationally relevant soil degradation processes have been digitally (re)mapped using specific DSM approaches based on HSSI and relevant spatial environmental ancillary data. The newly (re)complied soil degradation maps have then been submitted to spatial classification procedures to regionalize the processes. The results of the various classification scenarios have been used to produce alternatives for soil districts. LA - English DB - MTMT ER - TY - CONF AU - Tóth, Brigitta AU - Kolcsár, Ronald András AU - Mészáros, János AU - Laborczi, Annamária AU - Takács, Katalin AU - Szatmári, Gábor AU - Makó, András AU - Bakacsi, Zsófia AU - Rajkai, Kálmán László AU - Pásztor, László ED - European, Geosciences Union General Assembly TI - Aggregating 3D soil hydraulic properties for large-scale environmental modelling T2 - EGU General Assembly 2025 C1 - Bécs PY - 2025 DO - 10.5194/egusphere-egu25-4071 UR - https://m2.mtmt.hu/api/publication/36054817 ID - 36054817 AB - Understanding soil water management properties is crucial for agricultural, hydrological, and environmental modelling. To enhance the description of soil hydraulic processes, we developed national 3D soil hydraulic maps for Hungary at 100 m resolution, covering six soil layers down to 2 m depth (HU-SoilHydroGrids). This dataset includes continuous values of calculated soil hydraulic parameters, but aggregating this information is necessary to facilitate its use in national large-scale hydrological models with significant computational demands. In Hungary, the methodology of the Várallyay soil water management categories map has been used for the hydrological classification of soils before the availability of HU-SoilHydroGrids. This nationwide map supports agricultural water management planning and includes nine soil water management categories and seventeen variants, established through expert rules based on field capacity, wilting point, available water content, infiltration rate, saturated hydraulic conductivity, and soil texture variations. The newly available HU-SoilHydroGrids maps allow statistically based classification of soil hydraulic properties. In our study, we classified Hungarian soils using both national and international studies. Our methodology began with clustering via the k-means method on the HU-SoilHydroGrids database, considering eight soil hydraulic parameters across six soil depths, including van Genuchten parameters, water content at saturation, field capacity, wilting point, available water content, and hydraulic conductivity. This analysis identified twelve statistically distinct soil classes. To ensure the inclusion of underrepresented soil groups with significant differences in water management, we refined these clusters with expert-based rules. Consequently, we further subdivided the twelve groups by soil profile depth, genetic soil type, electrical conductivity, and exchangeable sodium content. Combining statistical methods with expert-based rules, we established 68 categories. These soil hydrological groups provide a possible solution to aggregate the soil hydraulic data in environmental modelling applications. LA - English DB - MTMT ER -