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Arsenic (As) is naturally present in trace amounts in most soils and poses a public health risk when elevated in topsoil due to potential accumulation in agricultural products. Europe has several regions with natural As enrichment in soils, but since soil analyses are limited to individual soil samples, information on the spatial distribution has been lacking. This study uses expert-based machine learning to create a high-resolution map of As exceeding 20 mg/kg in European topsoil based on ∼4100 data points of the Geochemical Mapping of Agricultural and Grazing Land Soil in Europe (GEMAS) dataset and 15 environmental variables. The resulting pan-European probability map delineates areas with high soil arsenic concentrations due to natural processes. The study finds that 11.7 % of grassland and 3.9 % of cropland in Europe have arsenic levels above this threshold, with France, Spain, the Western Balkans, and mountain areas most affected. Commonly grown crops in these areas include wheat, maize, rapeseed, and fodder crops. Our research links elevated arsenic levels to areas with low soil water erosion. SHapley Additive exPlanations (SHAP) analysis was used to identify key predictors, which may also be relevant in other regions globally. The high-resolution As map offers valuable insights for agricultural and health professionals and policy-makers.
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http://dx.doi.org/10.1016/j.jhazmat.2025.139523 | DOI Listing |
Glob Chang Biol
September 2025
Institute of Forest Ecology, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Vienna, Austria.
Soils are a major reservoir for organic carbon (C), with subsoils (> 20-30 cm soil depth) storing most of this C. Predicting the response of deep-soil C to global change remains a critical research priority; yet long-term field observations for forests are scarce. In this study, we assessed decadal C dynamics in mineral soils to 90 cm depth of 62 temperate mature stands of European beech (Fagus sylvatica) in Austria using data from sampling campaigns in 1984, 2012, and 2022.
View Article and Find Full Text PDFMolecules
August 2025
Department of Industrial Engineering and INSTM Research Unit, University of Trento, 38123 Trento, Italy.
This study focused on investigating the flammability and thermal degradation behavior of wood fiber-reinforced composites consisting of xanthan gum (XG) and gelatin (GEL). These materials could potentially be used as novel bio-based and biodegradable topsoil covers (TSCs) to support reforestation practices. To improve the thermal properties of these composites, xanthan gum was cross-linked with citric acid (CA) or tannic acid (TA) and eventually coated with casein, while gelatin was cross-linked with tannic acid.
View Article and Find Full Text PDFJ Hazard Mater
August 2025
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department Water Resources and Drinking Water, Dübendorf 8600, Switzerland. Electronic address:
Arsenic (As) is naturally present in trace amounts in most soils and poses a public health risk when elevated in topsoil due to potential accumulation in agricultural products. Europe has several regions with natural As enrichment in soils, but since soil analyses are limited to individual soil samples, information on the spatial distribution has been lacking. This study uses expert-based machine learning to create a high-resolution map of As exceeding 20 mg/kg in European topsoil based on ∼4100 data points of the Geochemical Mapping of Agricultural and Grazing Land Soil in Europe (GEMAS) dataset and 15 environmental variables.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hallenweg 8, 7522 NH, Enschede, The Netherlands.
Soil pH is a key indicator for understanding soil health status in forested ecosystems, yet high-resolution mapping of this variable, especially at a 30-m spatial resolution, remains limited. This study uses Sentinel-2 spectral data, in-situ soil pH measurements, topsoil physical properties from the Land Use/Cover Area Frame Survey (LUCAS) database, and elevation data to estimate soil pH across temperate forests in Europe using a Random Forest model. Despite challenges in signal penetration due to forest canopy cover, the model achieved high prediction accuracy (R² = 0.
View Article and Find Full Text PDFEnviron Monit Assess
July 2025
Department of Physical, Earth and Environmental Sciences, University of Siena, Via Mattioli 4, Siena, 53100, Italy.
The spatial distribution and ecological risk of potentially toxic elements (PTEs) were investigated in the topsoil of a peri-urban area surrounding a historical industrial complex in the Scarlino Plain in southwestern Tuscany, Italy. Superficial (0-5 cm) soil samples from 44 sites within a 1.5-km radius of the industrial district were analysed for As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Sb, Sn, Tl, V and Zn concentrations after microwave-assisted acid digestion with HNO and HO.
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