{"type": "FeatureCollection", "features": [{"id": "10.1016/j.envpol.2022.120472", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:16:08Z", "type": "Journal Article", "created": "2022-10-19", "title": "Comparative toxicological assessment of three soils polluted with different levels of hydrocarbons and heavy metals using in vitro and in vivo approaches", "description": "The biological effects induced by the pollutants present in soils, together with the chemical and physical characterizations, are good indicators to provide a general overview of their quality. However, the existence of studies where the toxicity associated to soils contaminated with mixtures of pollutants applying both in vitro and in vivo models are scarce. In this work, three soils (namely, Soil 001, Soil 002 and Soil 013) polluted with different concentrations of hydrocarbons and heavy metals were evaluated using different organisms representative of human (HepG2 human cell line) and environmental exposure (the yeast Saccharomyces cerevisiae, the Gram-negative bacterium Pseudomonas putida and, for the in vivo evaluation, the annelid Enchytraeus crypticus). In vitro assays showed that the soluble fraction of the Soil 001, which presented the highest levels of heavy metals, represented a great impact in the viability of the HepG2 cells and S. cerevisiae, while organic extracts from Soils 002 and 013 caused a slight decrease in the viability of HepG2 cells. In addition, in vivo experiments showed that Soils 001 and 013 affected the survival and the reproduction of E. crypticus. Altogether, these results provide a general overview of the potential hazards associated to three specific contaminated sites in a variety of organisms, showing how different concentrations of similar pollutants affect them, and highlights the relevance of testing both organic and soluble extracts when in vitro safety assays of soils are performed.", "keywords": ["Pseudomonas putida", "Enchytraeus crypticus", "Qu\u00edmica anal\u00edtica", "Saccharomyces cerevisiae", "Analytic", "01 natural sciences", "Hydrocarbons", "6. Clean water", "HepG2 cellsSaccharomyces cerevisiaePseudomonas putidaEnchytraeus crypticusSoil contamination", "Chemistry", "Soil", "Soil contamination", "13. Climate action", "Metals", " Heavy", "Humans", "Soil Pollutants", "Chemistry", " Analytic", "HepG2 cells Saccharomyces cerevisiae Pseudomonas putida Enchytraeus crypticus Soil contamination", "HepG2 cells", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2022.120472"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2022.120472", "name": "item", "description": "10.1016/j.envpol.2022.120472", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2022.120472"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2022.156582", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:16:48Z", "type": "Journal Article", "created": "2022-06-14", "title": "Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale", "description": "Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb) and copper (Cu) in soils. A total of 435 soil samples were collected over agricultural sites, forest (7 %), pasture (5 %) and fallow land across a region in the northern part of Belgium. Generally, better predictions were obtained when using partial least squares regression (PLSR) and nonlinear calibration method [i.e., random forest (RF)] for processing of the spectral data, than when using support vector machine (SVM). FR generally outperformed SR and provided the best prediction results for Ni (R<sup>2</sup><sub>p</sub> = 0.76), Co (R<sup>2</sup><sub>p</sub> = 0.77), Cd (R<sup>2</sup><sub>p</sub> = 0.64) and Pb (R<sup>2</sup><sub>p</sub> = 0.65), when using PLSR and RF. SVM produced the best prediction result only for Pb (R<sup>2</sup><sub>p</sub> = 0.57) using the SR spectra. The metals Ni, Co, Cd and Pb can be predicted successfully (good accuracy) from the FR vis-NIR spectra using PLSR for Co, and RF for Ni, Cd, Pb and Cu. Compared to the FR spectrophotometer, improvement in accuracy was obtained for Cd and Co, using the SR spectra when combined with PLSR and RF, respectively. It is concluded that the SR spectrometer can be used successfully for the prediction of Co with RF (R<sup>2</sup><sub>p</sub> = 0.70), while it best predicted Cd with PLSR with an R<sup>2</sup><sub>p</sub> value of 0.67, which is of value for regional survey.", "keywords": ["Spectroscopy", " Near-Infrared", "Support Vector Machine", "RANGE", "Machine", "Machine learning modelling", "learning modelling", "REFLECTANCE SPECTROSCOPY", "CONTAMINATION", "Soil", "Lead", "Soil contamination", "Nickel", "Metals", "Earth and Environmental Sciences", "Soil Pollutants", "Chemometrics", "Cadmium", "Near-infrared spectra"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2022.156582"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2022.156582", "name": "item", "description": "10.1016/j.scitotenv.2022.156582", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2022.156582"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10.1016/j.soisec.2023.100109", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-01T16:17:03Z", "type": "Journal Article", "created": "2023-10-12", "title": "Unpacking the legal conundrum of nature-based soil remediation and sustainable biofuels production in the European Union", "description": "The fight against soil contamination and the development of sustainable fuels constitute major environmental and climate change objectives under the European Green Deal. At the same time, the uptake of nature-based solutions is increasingly advocated in the European Union as viable techniques to enhance soil ecosystem services while addressing the soil vs. food vs. energy conundrum to achieve the UN Sustainable Development Goals and the European Green Deal objectives. This contribution deals with unlocking the potential of phytoremediation both a soil remediation technique and a source of sustainable feedstock for advanced biofuels. Phytoremediation consists of the use of plants and their associated microbes to extract, volatilize, stabilize, or degrade soil pollutants. Furthermore, phytoremediation's by-products may be used to develop advanced, low indirect land use change biofuels thus contributing to the EU's climate change mitigation objectives.The value chain entailed in the deployment of phytoremediation techniques and recovery of phytoremediation's output materials for biofuels production faces an array of legal and policy roadblocks in the European Union. Importantly, such barriers relate both to material legal obstacles, policy fragmentation and lack of a holistic approach towards complex processes. This contribution aims to provide a comprehensive overview of such legal and policy roadblocks with a view to champion the embedding of phytoremediation in the existing EU legal framework also in relation to the development of low-Indirect Land Use Change biofuels.", "keywords": ["QE1-996.5", "Soil contamination", "Biofuels", "Climate change", "Geology", "Phytoremediation"]}, "links": [{"href": "https://doi.org/10.1016/j.soisec.2023.100109"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Security", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soisec.2023.100109", "name": "item", "description": "10.1016/j.soisec.2023.100109", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soisec.2023.100109"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.31428/10317/11116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:40Z", "type": "Journal Article", "created": "2024-02-29", "title": "Movilidad de metales en balsas mineras enmendadas con biochar y compost urbano: resultados de un bioensayo empleando una especie vegetal pionera", "description": "Open Access[SPA] El fitomanejo permite reducir el riesgo ambiental de balsas mineras abandonadas. El objetivo del trabajo fue evaluar la movilidad de metales en balsas mineras enmendadas con biochar y/o compost urbano y la efectividad de las enmiendas reduciendo la toxicidad de la soluci\u00f3n ed\u00e1fica para una planta pionera (Zygophyllum fabago). Se llev\u00f3 a cabo un experimento en mesocosmos (20 meses) con residuo minero con y sin enmienda. Los mesocosmos se mantuvieron a capacidad de campo con agua de la red y se drenaron en diferentes momentos. Se monitoriz\u00f3 la soluci\u00f3n ed\u00e1fica regularmente (pH, conductividad el\u00e9ctrica, carbono org\u00e1nico soluble \u2013COS--, nitr\u00f3geno total soluble \u2013NTS- y metales -Mn, Zn-), al igual que el drenaje. Se realiz\u00f3 un bioensayo con semillas de Z. fabago con la soluci\u00f3n ed\u00e1fica de mitad del experimento (germinaci\u00f3n de semillas, crecimiento de pl\u00e1ntulas). Los tratamientos con compost urbano mostraron mayor concentraci\u00f3n inicial de COS y metales en soluci\u00f3n. Se observ\u00f3 un descenso temporal de la concentraci\u00f3n de DOC y metales en la soluci\u00f3n ed\u00e1fica debido a su lixiviaci\u00f3n en el drenaje. A pesar del mayor contenido de metales, el compost urbano favoreci\u00f3 la elongaci\u00f3n de la ra\u00edz debido al mayor contenido de COS y NTS en soluci\u00f3n. [ENG] Phytomanagement allows to reduce the environmental risks of abandoned mine tailings. The aim of this work was to assess metal mobility in mine tailings amended with biochar and/or urban compost and the effectiveness of these amendments for reducing the toxicity of soil solution to a pioneer plant species (Zygophyllum fabago). A mesocosm experiment was performed (20 months) with mine wastes with and without amendment. Mesocosms were maintained at field capacity with tap water and drained at different times. Soil solution was regularly monitored (pH, electrical conductivity, dissolved organic carbon \u2013DOC-, dissolved total nitrogen \u2013TDN- and metals -Mn, Zn-), as well as drainage. A bioassay with seeds of Z. fabago was performed with midterm soil solution (seed germination, seedling performance). Treatments containing urban compost showed higher initial DOC and metal concentrations in solution. A decrease of DOC and metal concentrations in soil solution with time occurred due to their lixiviation in the drainage water. In spite of the higher metal pool, urban compost favoured root length due to its greater content of DOC and TDN in soil solution.", "keywords": ["Enmiendas org\u00e1nicas", "WiA", "Metal availability", "Soil contamination", "Contaminaci\u00f3n del suelo", "11. Sustainability", "Impactos de la miner\u00eda", "Organic amendment", "Disponibilidad de metales", "Tecnolog\u00eda de los Alimentos", "15. Life on land", "Mining impacts"], "contacts": [{"organization": "Mart\u00ednez Or\u00f3, D., P\u00e1rraga Aguado, Isabel Mar\u00eda, Gonz\u00e1lez Alcaraz, Mar\u00eda Nazaret, Conesa Alcaraz, H\u00e9ctor Miguel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.31428/10317/11116"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%207th%20Workshop%20on%20Agri-Food%20research.%20WiA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31428/10317/11116", "name": "item", "description": "10.31428/10317/11116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31428/10317/11116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-29T00:00:00Z"}}, {"id": "10.3390/ma14216566", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:58Z", "type": "Journal Article", "created": "2021-11-02", "title": "Influence of Pyrolysis Temperature on the Heavy Metal Sorption Capacity of Biochar from Poultry Manure", "description": "<p>Sorption properties of various biochars have been extensively investigated by many researchers. One of the parameters that have a significant impact on sorption properties is pyrolysis temperature. This paper presents a study on the effect of pyrolysis temperature (425, 575, 725 \uffc2\uffb0C) on the sorption properties of poultry-manure-derived biochar (BPM). The produced biochars, i.e., BPM425, BPM575 and BPM725, demonstrated specific properties at 425, 525 and 752 \uffc2\uffb0C such as high pH (10.40, 10.65 and 12.45), high ash contents (52.07, 61.74 and 78.38%) and relatively low BET (Brunauer, Emmett and Teller) surface area (11, 17 and 19 m2\uffc2\uffb7g\uffe2\uff88\uff921). The analysis of the mineral phases of the BPMs confirmed the buffering capacity. The investigated biochars were tested for sorption of Zn, Cd and Pb in mono-, double- and triple-metal batch sorption tests. According to the obtained results, biochar produced at a temperature of 575 \uffc2\uffb0C (BPM575) can function as a sufficient sorbent for the removal of Zn, Cd and Pb from a water solution. The presented results do not confirm the effect of competing metal ions on the sorption efficiency of the selected metals by the investigated biochars. Based on that, the studied biochar sorbents can be used in environments contaminated with many metals.</p>", "keywords": ["ADSORPTION", "sorption", "pyrolysis temperature", "poultry manure", "0211 other engineering and technologies", "02 engineering and technology", "PERFORMANCE", "FEEDSTOCK SOURCES", "01 natural sciences", "AQUEOUS-SOLUTION", "Article", "MECHANISMS", "CARBON", "Chemistry", "poultry manure; biochar; pyrolysis temperature; sorption; heavy metals; soil contamination", "REMOVAL", "Earth and Environmental Sciences", "CD(II)", "STRAW", "biochar", "heavy metals", "FRACTIONS", "soil contamination", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1996-1944/14/21/6566/pdf"}, {"href": "https://www.mdpi.com/1996-1944/14/21/6566/pdf"}, {"href": "https://doi.org/10.3390/ma14216566"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ma14216566", "name": "item", "description": "10.3390/ma14216566", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ma14216566"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10.3846/16486897.2011.557473", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:13Z", "type": "Journal Article", "created": "2011-04-16", "title": "Anthropogenic Effects On Heavy Metals And Macronutrients Accumulation In Soil And Wood Of Pinus Sylvestris L.", "description": "<p>The investigation is focused on the uptake of heavy metals and macronutrients fluxes in Pinus sylvestris L. wood and soil under the sampled trees from contaminated and control sites. Soil pH, total organic carbon (TOC) and total and bioavailable heavy metals lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) and macronutrients, potassium (K) and magnesium (Mg) were compared on contaminated and control sites. Also, metal uptake of contaminated and control pine woods was determined. Concentrations of soil bioavailable Cd (0.009 mg kg\uffe2\uff88\uff921), Pb (0.11 mg kg\uffe2\uff88\uff921), Cu (0.076 mg kg\uffe2\uff88\uff921), Zn (0.51 mg kg\uffe2\uff88\uff921) and K (24.42 mg kg\uffe2\uff88\uff921), Mg (8.44 mg kg\uffe2\uff88\uff921) on the contaminated plot were significantly higher (p &amp;lt; 0.001) than on the control plot 0.00004 mg kg\uffe2\uff88\uff921for Cd, 0.007 mg kg\uffe2\uff88\uff921 for Pb, 0.002 mg kg\uffe2\uff88\uff921 for Cu, 0.22 mg kg\uffe2\uff88\uff921 for Zn and 7.81 mg kg\uffe2\uff88\uff921 for K, 2.40 mg kg\uffe2\uff88\uff921for Mg. In addition, the percentage of bioavailable metals in contaminated soils was higher. Pb (34.49 mg kg\uffe2\uff88\uff921), Cu (0.258 mg kg\uffe2\uff88\uff921), Zn (1.36 mg kg\uffe2\uff88\uff921) and K, Mg concentrations in wood were statistically higher than on the control site Pb (0.01 mg kg\uffe2\uff88\uff921), Cu (0.172 mg kg\uffe2\uff88\uff921), Zn (0.93 mg kg\uffe2\uff88\uff921), at p &amp;lt; 0.05 and p &amp;lt; 0.001, respectively. Cd did not show any significant difference in concentration on the contaminated plot in comparison to the control site. Santrauka Pagrindinis tiriamojo darbo tikslas \uffe2\uff80\uff93 nustatyti sunki\uffc5\uffb3j\uffc5\uffb3 metal\uffc5\uffb3 kiek\uffc4\uffaf paprastosios pu\uffc5\uffa1ies (Pinus sylvestris L.), augusios \uffc5\uffa1alia buvusios Ekrano gamyklos Panev\uffc4\uff97\uffc5\uffbeyje, medienoje bei palyginti su augusios kontrolin\uffc4\uff97je teritorijoje. \uffc4\uffaevertinta ir palyginta abiej\uffc5\uffb3 teritorij\uffc5\uffb3 dirvo\uffc5\uffbeemis, nustatyta dirvo\uffc5\uffbeemio pH, bendrosios anglies kiekis (TOC), \uffc4\uffafvertintos sumin\uffc4\uff97 ir judriosios faz\uffc4\uff97s sunki\uffc5\uffb3j\uffc5\uffb3 metal\uffc5\uffb3 \uffe2\uff80\uff93 \uffc5\uffa1vino (Pb), kadmio (Cd), vario (Cu), cinko (Zn) bei makroelement\uffc5\uffb3 \uffe2\uff80\uff93 kalio (K) ir magnio(Mg) koncentracijos. Nustatyta \uffc4\uffaf pu\uffc5\uffa1\uffc5\uffb3 medien\uffc4\uff85 u\uffc5\uffbeter\uffc5\uffa1toje ir kontrolin\uffc4\uff97je teritorijose patekusi\uffc5\uffb3 metal\uffc5\uffb3 kiekiai. Akivaizdu, kad judriosios faz\uffc4\uff97s metal\uffc5\uffb3 koncentracijos u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje (Cd \uffe2\uff80\uff93 0,009 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Pb \uffe2\uff80\uff93 0,11 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,076 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,51 mg\uffc2\uffb7kg\uffe2\uff80\uff931 ir K \uffe2\uff80\uff93 24,42 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Mg \uffe2\uff80\uff93 8,44 mg\uffc2\uffb7kg\uffe2\uff80\uff931) yra didesn\uffc4\uff97s (p &amp;lt; 0,001) nei kontrolin\uffc4\uff97je(Cd \uffe2\uff80\uff93 0,000 04 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Pb \uffe2\uff80\uff93 0,007 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,000 2 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,22 mg\uffc2\uffb7kg\uffe2\uff80\uff931 ir K \uffe2\uff80\uff93 7,81 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Mg \uffe2\uff80\uff93 2,40 mg\uffc2\uffb7kg\uffe2\uff80\uff931). Pb (34,5 mg\uffc2\uffb7kg\uffe2\uff80\uff931), Cu (0,258 mg\uffc2\uffb7kg\uffe2\uff80\uff931), Zn (1,36 mg\uffc2\uffb7kg\uffe2\uff80\uff931) ir K bei Mg koncentracijos buvo statisti\uffc5\uffa1kaididesn\uffc4\uff97s u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje (p &amp;lt; 0,05) augusios pu\uffc5\uffa1ies medienoje nei kontrolin\uffc4\uff97s (p &amp;lt; 0,001) \uffe2\uff80\uff93 Pb \uffe2\uff80\uff93 0,01 mg kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,172 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,93 mg kg\uffe2\uff80\uff931. Cd koncentracija u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje augusios pu\uffc5\uffa1ies medienoje nedaug skyr\uffc4\uff97si nuo kontrolin\uffc4\uff97s. \uffd0\uffa0\uffd0\uffb5\uffd0\uffb7\uffd1\uff8e\uffd0\uffbc\uffd0\uffb5 \uffd0\uff93\uffd0\uffbb\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff86\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff8e \uffd0\uffbd\uffd0\uffb0\uffd1\uff83\uffd1\uff87\uffd0\uffbd\uffd0\uffbe\uffd0\uffb8\uffd1\uff81\uffd1\uff81\uffd0\uffbb\uffd0\uffb5\uffd0\uffb4\uffd0\uffbe\uffd0\uffb2\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff81\uffd0\uffba\uffd0\uffbe\uffd0\uffb9 \uffd1\uff80\uffd0\uffb0\uffd0\uffb1\uffd0\uffbe\uffd1\uff82\uffd1\uff8b \uffd0\uffb1\uffd1\uff8b\uffd0\uffbb\uffd0\uffbe \uffd0\uffbe\uffd0\uffbf\uffd1\uff80\uffd0\uffb5\uffd0\uffb4\uffd0\uffb5\uffd0\uffbb\uffd0\uffb8\uffd1\uff82\uffd1\uff8c \uffd0\uffba\uffd0\uffbe\uffd0\uffbb\uffd0\uffb8\uffd1\uff87\uffd0\uffb5\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe \uffd1\uff82\uffd1\uff8f\uffd0\uffb6\uffd0\uffb5\uffd0\uffbb\uffd1\uff8b\uffd1\uff85 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd0\uffb5\uffd1\uff81\uffd0\uffbe\uffd1\uff81\uffd0\uffbd\uffd1\uff8b \uffd0\uffbe\uffd0\uffb1\uffd1\uff8b\uffd0\uffba\uffd0\uffbd\uffd0\uffbe\uffd0\uffb2\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 (Pinus sylvestris L.) \uffd0\uffbd\uffd0\uffb0 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8 \uffd0\uffb1\uffd1\uff8b\uffd0\uffb2\uffd1\uff88\uffd0\uffb5\uffd0\uffb3\uffd0\uffbe \uffd0\uffb7\uffd0\uffb0\uffd0\uffb2\uffd0\uffbe\uffd0\uffb4\uffd0\uffb0 \uffc2\uffab\uffd0\uffad\uffd0\uffba\uffd1\uff80\uffd0\uffb0\uffd0\uffbd\uffd0\uffb0\uffd1\uff81\uffc2\uffbb \uffd0\uffb2 \uffd0\uff9f\uffd0\uffb0\uffd0\uffbd\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd0\uffb6\uffd0\uffb8\uffd1\uff81\uffd0\uffb5 \uffd0\uffb8 \uffd1\uff81\uffd1\uff80\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffb8\uffd1\uff82\uffd1\uff8c \uffd0\uffb5\uffd0\uffb3\uffd0\uffbe \uffd1\uff81\uffd0\uffb4\uffd0\uffb0\uffd0\uffbd\uffd0\uffbd\uffd1\uff8b\uffd0\uffbc\uffd0\uffb8 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8. \uffd0\uff92 \uffd0\uffb8\uffd1\uff81\uffd1\uff81\uffd0\uffbb\uffd0\uffb5\uffd0\uffb4\uffd0\uffbe\uffd0\uffb2\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff81\uffd0\uffba\uffd0\uffbe\uffd0\uffb9 \uffd1\uff80\uffd0\uffb0\uffd0\uffb1\uffd0\uffbe\uffd1\uff82\uffd0\uffb5 \uffd0\uffbe\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd1\uff8b \uffd0\uffb8 \uffd1\uff81\uffd1\uff80\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd1\uff8b \uffd0\uffbf\uffd0\uffbe\uffd1\uff87\uffd0\uffb2\uffd1\uff8b \uffd0\uffbe\uffd0\uffb1\uffd0\uffb5\uffd0\uffb8\uffd1\uff85 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb9,\uffd0\uffbe\uffd0\uffbf\uffd1\uff80\uffd0\uffb5\uffd0\uffb4\uffd0\uffb5\uffd0\uffbb\uffd0\uffb5\uffd0\uffbd \uffd0\uffbf\uffd0\uffbe\uffd0\uffba\uffd0\uffb0\uffd0\uffb7\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c \uffd1\uff80\uffd0\uff9d \uffd0\uffbf\uffd0\uffbe\uffd1\uff87\uffd0\uffb2\uffd1\uff8b, \uffd0\uffbe\uffd0\uffb1\uffd1\uff89\uffd0\uffb5\uffd0\uffb5 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\uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd1\uff83 \uffd1\uff81\uffd0\uffbe\uffd1\uff81\uffd0\uffbd\uffd1\uff8b \uffd0\uffb2 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb8 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb7\uffd0\uffbe\uffd0\uffbd\uffd0\uffb0\uffd1\uff85. \uffd0\uff97\uffd0\uffb0\uffd0\uffbc\uffd0\uffb5\uffd1\uff87\uffd0\uffb5\uffd0\uffbd\uffd0\uffb0 \uffd1\uff82\uffd0\uffb5\uffd0\uffbd\uffd0\uffb4\uffd0\uffb5\uffd0\uffbd\uffd1\uff86\uffd0\uffb8\uffd1\uff8f: \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd1\uff8f \uffd1\uff80\uffd0\uffb0\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffbc\uffd1\uff8b\uffd1\uff85 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 Cd (0,009 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Pb (0,11 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,076 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (0,51 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) \uffd0\uffb8 K (24,42 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Mg (8,44 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) \uffd0\uffb2 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb7\uffd0\uffbe\uffd0\uffbd\uffd0\uffb5 \uffd0\uffb2\uffd1\uff8b\uffd1\uff88\uffd0\uffb5 (p &amp;lt; 0.001), \uffd1\uff87\uffd0\uffb5\uffd0\uffbc \uffd0\uffb2 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9, \uffd1\uff81\uffd0\uffbe\uffd0\uffbe\uffd1\uff82\uffd0\uffb2\uffd0\uffb5\uffd1\uff82\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe Cd (0,00004 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Pb (0,007 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,002 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (0,22 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) ir K (7,81 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Mg (2,40 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931). \uffd0\uff9a\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd0\uffb8 Pb (34,49 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,258 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (1,36 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), K \uffd0\uffb8 Mg \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd0\uffb5 \uffd0\uffb1\uffd1\uff8b\uffd0\uffbb\uffd0\uffb8 \uffd1\uff81\uffd1\uff82\uffd0\uffb0\uffd1\uff82\uffd0\uffb8\uffd1\uff81\uffd1\uff82\uffd0\uffb8\uffd1\uff87\uffd0\uffb5\uffd1\uff81\uffd0\uffba\uffd0\uffb8 \uffd0\uffb2\uffd1\uff8b\uffd1\uff88\uffd0\uffb5 \uffd0\uffbd\uffd0\uffb0 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 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sciences", "soil contamination", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3846/16486897.2011.557473"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Engineering%20and%20Landscape%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3846/16486897.2011.557473", "name": "item", "description": "10.3846/16486897.2011.557473", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3846/16486897.2011.557473"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-04-15T00:00:00Z"}}, {"id": "10.5281/zenodo.10402591", "type": "Feature", "geometry": null, 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The internal EJPSoil project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["Task 3.1", "Soil drought", "Salinization", "Habitat for biodiversity", "Pest and disease control", "15. Life on land", "Loss of diversity", "SERENA", "Environmental pollution control", "Soil contamination", "13. Climate action", "EJPSoil", "WP3", "D3.1.2", "Waterlogging", "Soil acidification"], "contacts": [{"organization": "Michel, Kerstin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10402591"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10402591", "name": "item", "description": "10.5281/zenodo.10402591", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10402591"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.10402592", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:56Z", "type": "Report", "title": "Currently available assessments of soil threats and ecosystem services: data, metadata, and methodologies - update", "description": "Deliverable of the EJPSoil project SERENA (Soil Ecosystem Services and soil threats modelling and mapping): Short descriptions of available assessments of selected soil threats and soil-based ecosystem services provided by the participating member states.  The internal EJPSoil project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["Soil-threat", "Task 3.1", "Soil drought", "Salinization", "Habitat for biodiversity", "Pest and disease control", "15. Life on land", "Loss of diversity", "Assessment", "SERENA", "Environmental pollution control", "Soil contamination", "13. Climate action", "EJPSoil", "WP3", "Soil-based ecosystem service", "D3.1.2", "Waterlogging", "Soil acidification"], "contacts": [{"organization": "Michel, Kerstin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10402592"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10402592", "name": "item", "description": "10.5281/zenodo.10402592", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10402592"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13945384", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945384"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945384", "name": "item", "description": "10.5281/zenodo.13945384", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945384"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10.5281/zenodo.13945383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "created": "2024-10-22", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945383"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945383", "name": "item", "description": "10.5281/zenodo.13945383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10259/7490", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:25Z", "type": "Journal Article", "created": "2022-10-19", "title": "Comparative toxicological assessment of three soils polluted with different levels of hydrocarbons and heavy metals using in vitro and in vivo approaches", "description": "The biological effects induced by the pollutants present in soils, together with the chemical and physical characterizations, are good indicators to provide a general overview of their quality. However, the existence of studies where the toxicity associated to soils contaminated with mixtures of pollutants applying both in vitro and in vivo models are scarce. In this work, three soils (namely, Soil 001, Soil 002 and Soil 013) polluted with different concentrations of hydrocarbons and heavy metals were evaluated using different organisms representative of human (HepG2 human cell line) and environmental exposure (the yeast Saccharomyces cerevisiae, the Gram-negative bacterium Pseudomonas putida and, for the in vivo evaluation, the annelid Enchytraeus crypticus). In vitro assays showed that the soluble fraction of the Soil 001, which presented the highest levels of heavy metals, represented a great impact in the viability of the HepG2 cells and S. cerevisiae, while organic extracts from Soils 002 and 013 caused a slight decrease in the viability of HepG2 cells. In addition, in vivo experiments showed that Soils 001 and 013 affected the survival and the reproduction of E. crypticus. Altogether, these results provide a general overview of the potential hazards associated to three specific contaminated sites in a variety of organisms, showing how different concentrations of similar pollutants affect them, and highlights the relevance of testing both organic and soluble extracts when in vitro safety assays of soils are performed.", "keywords": ["Pseudomonas putida", "Enchytraeus crypticus", "Qu\u00edmica anal\u00edtica", "Saccharomyces cerevisiae", "Analytic", "01 natural sciences", "Hydrocarbons", "6. Clean water", "Chemistry", "Soil", "Soil contamination", "13. Climate action", "Metals", " Heavy", "Humans", "Soil Pollutants", "Chemistry", " Analytic", "HepG2 cells Saccharomyces cerevisiae Pseudomonas putida Enchytraeus crypticus Soil contamination", "HepG2 cells", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10259/7490"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10259/7490", "name": "item", "description": "10259/7490", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10259/7490"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10317/11116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:34Z", "type": "Journal Article", "created": "2024-02-29", "title": "Movilidad de metales en balsas mineras enmendadas con biochar y compost urbano: resultados de un bioensayo empleando una especie vegetal pionera", "description": "Open Access[SPA] El fitomanejo permite reducir el riesgo ambiental de balsas mineras abandonadas. El objetivo del trabajo fue evaluar la movilidad de metales en balsas mineras enmendadas con biochar y/o compost urbano y la efectividad de las enmiendas reduciendo la toxicidad de la soluci\u00f3n ed\u00e1fica para una planta pionera (Zygophyllum fabago). Se llev\u00f3 a cabo un experimento en mesocosmos (20 meses) con residuo minero con y sin enmienda. Los mesocosmos se mantuvieron a capacidad de campo con agua de la red y se drenaron en diferentes momentos. Se monitoriz\u00f3 la soluci\u00f3n ed\u00e1fica regularmente (pH, conductividad el\u00e9ctrica, carbono org\u00e1nico soluble \u2013COS--, nitr\u00f3geno total soluble \u2013NTS- y metales -Mn, Zn-), al igual que el drenaje. Se realiz\u00f3 un bioensayo con semillas de Z. fabago con la soluci\u00f3n ed\u00e1fica de mitad del experimento (germinaci\u00f3n de semillas, crecimiento de pl\u00e1ntulas). Los tratamientos con compost urbano mostraron mayor concentraci\u00f3n inicial de COS y metales en soluci\u00f3n. Se observ\u00f3 un descenso temporal de la concentraci\u00f3n de DOC y metales en la soluci\u00f3n ed\u00e1fica debido a su lixiviaci\u00f3n en el drenaje. A pesar del mayor contenido de metales, el compost urbano favoreci\u00f3 la elongaci\u00f3n de la ra\u00edz debido al mayor contenido de COS y NTS en soluci\u00f3n. [ENG] Phytomanagement allows to reduce the environmental risks of abandoned mine tailings. The aim of this work was to assess metal mobility in mine tailings amended with biochar and/or urban compost and the effectiveness of these amendments for reducing the toxicity of soil solution to a pioneer plant species (Zygophyllum fabago). A mesocosm experiment was performed (20 months) with mine wastes with and without amendment. Mesocosms were maintained at field capacity with tap water and drained at different times. Soil solution was regularly monitored (pH, electrical conductivity, dissolved organic carbon \u2013DOC-, dissolved total nitrogen \u2013TDN- and metals -Mn, Zn-), as well as drainage. A bioassay with seeds of Z. fabago was performed with midterm soil solution (seed germination, seedling performance). Treatments containing urban compost showed higher initial DOC and metal concentrations in solution. A decrease of DOC and metal concentrations in soil solution with time occurred due to their lixiviation in the drainage water. In spite of the higher metal pool, urban compost favoured root length due to its greater content of DOC and TDN in soil solution.", "keywords": ["Enmiendas org\u00e1nicas", "WiA", "Metal availability", "Soil contamination", "Contaminaci\u00f3n del suelo", "11. Sustainability", "Impactos de la miner\u00eda", "Organic amendment", "Disponibilidad de metales", "Tecnolog\u00eda de los Alimentos", "15. Life on land", "Mining impacts"], "contacts": [{"organization": "Mart\u00ednez Or\u00f3, D., P\u00e1rraga Aguado, Isabel Mar\u00eda, Gonz\u00e1lez Alcaraz, Mar\u00eda Nazaret, Conesa Alcaraz, H\u00e9ctor Miguel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10317/11116"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%207th%20Workshop%20on%20Agri-Food%20research.%20WiA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10317/11116", "name": "item", "description": "10317/11116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10317/11116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-29T00:00:00Z"}}, {"id": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:00Z", "type": "Journal Article", "created": "2022-06-14", "title": "Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale", "description": "Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb) and copper (Cu) in soils. A total of 435 soil samples were collected over agricultural sites, forest (7 %), pasture (5 %) and fallow land across a region in the northern part of Belgium. Generally, better predictions were obtained when using partial least squares regression (PLSR) and nonlinear calibration method [i.e., random forest (RF)] for processing of the spectral data, than when using support vector machine (SVM). FR generally outperformed SR and provided the best prediction results for Ni (R<sup>2</sup><sub>p</sub> = 0.76), Co (R<sup>2</sup><sub>p</sub> = 0.77), Cd (R<sup>2</sup><sub>p</sub> = 0.64) and Pb (R<sup>2</sup><sub>p</sub> = 0.65), when using PLSR and RF. SVM produced the best prediction result only for Pb (R<sup>2</sup><sub>p</sub> = 0.57) using the SR spectra. The metals Ni, Co, Cd and Pb can be predicted successfully (good accuracy) from the FR vis-NIR spectra using PLSR for Co, and RF for Ni, Cd, Pb and Cu. Compared to the FR spectrophotometer, improvement in accuracy was obtained for Cd and Co, using the SR spectra when combined with PLSR and RF, respectively. It is concluded that the SR spectrometer can be used successfully for the prediction of Co with RF (R<sup>2</sup><sub>p</sub> = 0.70), while it best predicted Cd with PLSR with an R<sup>2</sup><sub>p</sub> value of 0.67, which is of value for regional survey.", "keywords": ["Spectroscopy", " Near-Infrared", "Support Vector Machine", "RANGE", "Machine", "Machine learning modelling", "learning modelling", "REFLECTANCE SPECTROSCOPY", "CONTAMINATION", "Soil", "Lead", "Soil contamination", "Nickel", "Metals", "Earth and Environmental Sciences", "Soil Pollutants", "Chemometrics", "Cadmium", "Near-infrared spectra"]}, "links": [{"href": "https://doi.org/1854/LU-01GM39KW0F5ENNMCF40YD35GFY"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "name": "item", "description": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GM39KW0F5ENNMCF40YD35GFY"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "1942/43043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:04Z", "type": "Journal Article", "created": "2023-10-12", "title": "Unpacking the legal conundrum of nature-based soil remediation and sustainable biofuels production in the European Union", "description": "The fight against soil contamination and the development of sustainable fuels constitute major environmental and climate change objectives under the European Green Deal. At the same time, the uptake of nature-based solutions is increasingly advocated in the European Union as viable techniques to enhance soil ecosystem services while addressing the soil vs. food vs. energy conundrum to achieve the UN Sustainable Development Goals and the European Green Deal objectives. This contribution deals with unlocking the potential of phytoremediation both a soil remediation technique and a source of sustainable feedstock for advanced biofuels. Phytoremediation consists of the use of plants and their associated microbes to extract, volatilize, stabilize, or degrade soil pollutants. Furthermore, phytoremediation's by-products may be used to develop advanced, low indirect land use change biofuels thus contributing to the EU's climate change mitigation objectives.The value chain entailed in the deployment of phytoremediation techniques and recovery of phytoremediation's output materials for biofuels production faces an array of legal and policy roadblocks in the European Union. Importantly, such barriers relate both to material legal obstacles, policy fragmentation and lack of a holistic approach towards complex processes. This contribution aims to provide a comprehensive overview of such legal and policy roadblocks with a view to champion the embedding of phytoremediation in the existing EU legal framework also in relation to the development of low-Indirect Land Use Change biofuels.", "keywords": ["QE1-996.5", "Soil contamination", "Biofuels", "Climate change", "Geology", "Phytoremediation"]}, "links": [{"href": "https://doi.org/1942/43043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Security", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1942/43043", "name": "item", "description": "1942/43043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1942/43043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "33b088ba-49e9-4186-a9ef-80dee2f92586", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "soil contamination"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "26-11-2015", "type": "Dataset", "created": "26-11-2015", "language": "ger", "title": "Groundwater influence on soils in Germany", "description": "The map of the groundwater influence on soils in Germany gives an overview of depth of groundwater below the surface. 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B\u00f6den, die durch Grundwasser beeinflusst sind, haben meist nur ein eingeschr\u00e4nktes Ertragspotential. Je h\u00f6her der Grundwasserstand, desto gr\u00f6\u00dfer ist der Einfluss auf das Pflanzenwachstum. Die Karte basiert auf der Auswertung der nutzungsdifferenzierten Boden\u00fcbersichtskarte 1:1.000.000 (BUEK1000N) und zeigt die klassifizierte Grundwasserstufe. Die Grundwasserstufe wird aus dem mittleren Grundwassertiefstand (MNGW) abgeleitet. Die Methode ist in der Bodenkundlichen Kartieranleitung (KA5) und in der Methodendokumentation Bodenkunde der Ad-hoc-AG Boden ver\u00f6ffentlicht. 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This data were created as part of BonaRes Module A-Project - InnoSoilPhos's research activities.\"Although every care has been taken in preparing and testing the data, BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-05-15", "type": "Dataset", "created": "2019-08-19", "language": "eng", "title": "Phosphorus concentrations from a suction plate experiment", "description": "The application of fertilizers to soils may impair the quality of both surface and\nsubsurface waters. Severe rainfall events that follow fertilizer application can\nincrease P release from soils. In this study, suction plates were installed in a loamy\nsoil with the aim of determining the P transport patterns and processes in the\nsoil before and after the application of biogas digestate. Prior to the application\nof biogas digestate, the pore water concentrations of dissolved reactive P (DRP)\nwere significantly lower than the total P (TP) concentrations, with DRP/TP ratios\nincreasing from 0.03 to 0.89. After fertilizer application, the TP and DRP pore\nwater concentrations increased 400-fold. The DRP/TP ratio remained almost\nconstant at 0.83. After 220 mm of precipitation, 4.5% of the P mass applied was\nleached to below the 50-cm soil depth, indicating the general mobility of P in\nsoils during high-intensity rainfall. Brilliant Blue dye tracing experiments revealed\nthat organic-matter-rich biogas digestate obviously changes the flow and transport patterns in soils from being homogenous to moderately heterogeneous,\nincluding preferential flow. Although the P loading across the flux plane had\nbeen equilibrated prior to treatment, after the application it was found to be concentrated in preferred transport regions. The emerging conclusion is that the risk\nof ground and subsequent surface water pollution with P after fertilization with\nbiogas digestate originates not only from the applied P mass but also from the\nshift in the flow and transport regime caused by the organic-matter-rich slurry.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "Boden", "phosphorus", "organic fertiliser", "soil", "soil contamination", "soil profile", "Boden", "inspireidentifiziert"], "contacts": [{"name": "Stefan Koch", "organization": "University of Rostock", "position": "Researcher", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefan.koch4@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Peter Leinweber", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Evelyn Bolzmann", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "evelyn.bolzmann@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Andreas Bauwe", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "andreas.bauwe@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=a3505f42-b0e3-4fd1-819a-6effaf8c3a3a", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "a3505f42-b0e3-4fd1-819a-6effaf8c3a3a", "name": "item", "description": "a3505f42-b0e3-4fd1-819a-6effaf8c3a3a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a3505f42-b0e3-4fd1-819a-6effaf8c3a3a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-11-01T00:00:00Z", "2017-04-30T00:00:00Z"]}}, {"id": "e4b53170-f364-4b53-bc17-f5fa482f8aa3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-54.52, 2.05], [-54.52, 51.15], [9.56, 51.15], [9.56, 2.05], [-54.52, 2.05]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "France"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "soil contamination"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2-6-2015", "type": "Dataset", "created": "2-6-2015", "language": "fre", "title": "Contamination with metallic trace elements (ETM)", "description": "Eight  trace elements (Cd, Cr, Cu, Hg, Ni, Pb, Se, Zn) in agricultural soils in France, results of data collection at national level, 2007", "formats": [{"name": "ogc:wms"}, {"name": "canonical"}], "keywords": ["soil degradation processes", "National", "MensMeu", "France", "soil contamination"], "contacts": [{"name": "Denis BAIZE", "organization": "INRA InfoSol", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "infosol@orleans.inra.fr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "France"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": 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"geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "soil contamination"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2017-01-01", "type": "Dataset", "created": "2017-01-01", "language": "ger", "title": "Substances in soils in Germany", "description": "Soil substances in Germany. In addition to substances that serve as nutrients for the plants, there are also pollutants in the soil which in higher concentrations can impair the growth of plants and animals. 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Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "13", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "20", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "34", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "41", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "48", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. Zur Schaffung eines Datensatzes mit entsprechenden Punktinformationen wurden unterschiedliche Datenbest\u00e4nde aus den L\u00e4ndern und vom Bund nach Abgleich gegen\u00fcber den Mindestanforderungen und inhaltlicher Harmonisierung zusammengef\u00fchrt. Auf der Grundlage von ca. 5000 harmonisierten Profildaten konnten repr\u00e4sentative Hintergrundwerte anorganischer Spurenstoffe f\u00fcr Ober- und Unterb\u00f6den sowie den Untergrund mit einer Fl\u00e4chendeckung von ca. 90% der Bundesrepublik abgeleitet werden und diese werden in der Karte dargestellt. Das genaue Vorgehen bei der Ableitung ist dem Bericht der LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2003): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den, 3. \u00fcberarbeitete und erg\u00e4nzte Auflage', zu entnehmen.", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/wms/boden/bodenstoffe/?SERVICE=WMS&REQUEST=GetCapabilities", "name": "62", "description": "In mehreren Forschungsvorhaben wurde ein Konzept zur Ableitung von fl\u00e4chenhaft repr\u00e4sentativen Hintergrundwerten f\u00fcr Ober- und Unterb\u00f6den sowie f\u00fcr den Untergrund entwickelt und angewendet. Das Konzept beruht auf einer Zuordnung der 69 bodenkundlichen Legendeneinheiten der B\u00dcK1000N, Version 2.31, zu 15 Bodenausgangsgesteinsgruppen. Au\u00dferdem wird f\u00fcr Oberb\u00f6den zus\u00e4tzlich nach Landnutzung differenziert. 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