{"type": "FeatureCollection", "features": [{"id": "10.1007/s10646-009-0329-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:04Z", "type": "Journal Article", "created": "2009-06-06", "title": "Trace Elements And Activity Of Antioxidative Enzymes In Cistus Ladanifer L. Growing On An Abandoned Mine Area", "description": "The Mediterranean shrub Cistus ladanifer grows naturally in S\u00e3o Domingos (Portugal), an abandoned copper mine. High levels of trace elements in plants can generate oxidative stress increasing the activity of antioxidant enzymes. The aim of this work was to evaluate and compare As, Cu, Pb and Zn concentrations and the activity of the soluble and cell wall ionically bounded forms of the enzymes catalase, peroxidase and superoxide dismutase in leaves of C. ladanifer, collected in spring and summer, growing on S\u00e3o Domingos mine and on a non-contaminated area (Pomar\u00e3o). S\u00e3o Domingos soils showed high total concentrations of As (2.6 g kg(-1)) and Pb (7.3 g kg(-1)) however the available fraction represented less than 1.5% of the total. C. ladanifer population from mine showed tolerance to Pb and Zn, which attain in leaves concentrations considered toxic for plants. The enzymatic activity of catalase, peroxidise and superoxide dismutase varied with plant populations and seasons, although with no particular trend, being specific to each trace element and enzyme cell localization. Catalase activity was evenly distributed between the soluble and ionically bounded forms, whereas the ionically bounded form of peroxidase predominated relatively to total activity, and the opposite was observed for superoxide dismutase. Spring and summer leaves from the two areas presented enzymatic activities in both fractions except to peroxidase soluble activities in leaves collected in summer. C. ladanifer enzymatic activity seems to be related with the co-existence of different stress factors (trace elements concentration, temperature, UV radiation and drought). The survival and growth of this species on contaminated mining soils is due to the presence of effective antioxidant enzyme-based defence systems.", "keywords": ["0106 biological sciences", "trace elements", "Industrial Waste", "antioxidative enzymes", "Antioxidative enzymes", "01 natural sciences", "Mining", "Soil", "Cell Wall", "Soil Pollutants", "adaptative capacity", "0105 earth and related environmental sciences", "Trace elements", "Portugal", "Cistus", "Adaptative capacity", "15. Life on land", "Sulphide abandoned mine", "cistus ladanifer L.", "Trace Elements", "Plant Leaves", "Oxidative Stress", "sulphide abandoned mine", "Cistus ladanifer L.", "Oxidoreductases", "Copper"]}, "links": [{"href": "https://doi.org/10.1007/s10646-009-0329-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10646-009-0329-y", "name": "item", "description": "10.1007/s10646-009-0329-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10646-009-0329-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-06-05T00:00:00Z"}}, {"id": "10.1016/j.heliyon.2023.e16692", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:36Z", "type": "Journal Article", "created": "2023-05-27", "title": "Past, present and future trends in the remediation of heavy-metal contaminated soil - Remediation techniques applied in real soil-contamination events", "description": "Most worldwide policy frameworks, including the United Nations Sustainable Development Goals, highlight soil as a key non-renewable natural resource which should be rigorously preserved to achieve long-term global sustainability. Although some soil is naturally enriched with heavy metals (HMs), a series of anthropogenic activities are known to contribute to their redistribution, which may entail potentially harmful environmental and/or human health effects if certain concentrations are exceeded. If this occurs, the implementation of rehabilitation strategies is highly recommended. Although there are many publications dealing with the elimination of HMs using different methodologies, most of those works have been done in laboratories and there are not many comprehensive reviews about the results obtained under field conditions. Throughout this review, we examine the different methodologies that have been used in real scenarios and, based on representative case studies, we present the evolution and outcomes of the remediation strategies applied in real soil-contamination events where legacies of past metal mining activities or mine spills have posed a serious threat for soil conservation. So far, the best efficiencies at field-scale have been reported when using combined strategies such as physical containment and assisted-phytoremediation. We have also introduced the emerging problem of the heavy metal contamination of agricultural soils and the different strategies implemented to tackle this problem. Although remediation techniques used in real scenarios have not changed much in the last decades, there are also encouraging facts for the advances in this field. Thus, a growing number of mining companies publicise in their webpages their soil remediation strategies and efforts; moreover, the number of scientific publications about innovative highly-efficient and environmental-friendly methods is also increasing. In any case, better cooperation between scientists and other soil-related stakeholders is still required to improve remediation performance.", "keywords": ["2. Zero hunger", "H1-99", "(Bio)mining", "Science (General)", "Spills", "Remediation", "Review Article", "15. Life on land", "6. Clean water", "(bio)mining", "12. Responsible consumption", "3. Good health", "Social sciences (General)", "Q1-390", "Soil", "Sustainability", "13. Climate action", "11. Sustainability", "Heavy-metal"]}, "links": [{"href": "https://doi.org/10.1016/j.heliyon.2023.e16692"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Heliyon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.heliyon.2023.e16692", "name": "item", "description": "10.1016/j.heliyon.2023.e16692", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.heliyon.2023.e16692"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2018.01.019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:01Z", "type": "Journal Article", "created": "2018-01-08", "title": "Toxicokinetics of Zn and Cd in the earthworm Eisenia andrei exposed to metal-contaminated soils under different combinations of air temperature and soil moisture content", "description": "This study evaluated how different combinations of air temperature (20\u202f\u00b0C and 25\u202f\u00b0C) and soil moisture content (50% and 30% of the soil water holding capacity, WHC), reflecting realistic climate change scenarios, affect the bioaccumulation kinetics of Zn and Cd in the earthworm Eisenia andrei. Earthworms were exposed for 21\u202fd to two metal-contaminated soils (uptake phase), followed by 21\u202fd incubation in non-contaminated soil (elimination phase). Body Zn and Cd concentrations were checked in time and metal uptake (k1) and elimination (k2) rate constants determined; metal bioaccumulation factor (BAF) was calculated as k1/k2. Earthworms showed extremely fast uptake and elimination of Zn, regardless of the exposure level. Climate conditions had no major impacts on the bioaccumulation kinetics of Zn, although a tendency towards lower k1 and k2 values was observed at 25\u00a0\u00b0C\u00a0+\u00a030% WHC. Earthworm Cd concentrations gradually increased with time upon exposure to metal-contaminated soils, especially at 50% WHC, and remained constant or slowly decreased following transfer to non-contaminated soil. Different combinations of air temperature and soil moisture content changed the bioaccumulation kinetics of Cd, leading to higher k1 and k2 values for earthworms incubated at 25\u00a0\u00b0C\u00a0+\u00a050% WHC and slower Cd kinetics at 25\u00a0\u00b0C\u00a0+\u00a030% WHC. This resulted in greater BAFs for Cd at warmer and drier environments which could imply higher toxicity risks but also of transfer of Cd within the food chain under the current global warming perspective.", "keywords": ["Soil invertebrates", "Bioavailability", "Climate Change", "0211 other engineering and technologies", "02 engineering and technology", "Global Warming", "01 natural sciences", "Soil", "Metals", " Heavy", "SDG 13 - Climate Action", "Climate change", "Animals", "Soil Pollutants", "Oligochaeta", "0105 earth and related environmental sciences", "2. Zero hunger", "Triazines", "Temperature", "Water", "Bioaccumulation", "Mining wastes", "Toxicokinetics", "Zinc", "Heavy metals", "Metals", "13. Climate action", "Environmental Pollution", "Cadmium"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2018.01.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2018.01.019", "name": "item", "description": "10.1016/j.chemosphere.2018.01.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2018.01.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "10.1007/s00572-016-0694-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:51Z", "type": "Journal Article", "created": "2016-04-14", "title": "Organic Amendments Increase Phylogenetic Diversity Of Arbuscular Mycorrhizal Fungi In Acid Soil Contaminated By Trace Elements", "description": "In 1998, a toxic mine spill polluted a 55-km(2) area in a basin southward to Do\u00f1ana National Park (Spain). Subsequent attempts to restore those trace element-contaminated soils have involved physical, chemical, or biological methodologies. In this study, the restoration approach included application of different types and doses of organic amendments: biosolid compost (BC) and leonardite (LEO). Twelve years after the last addition, molecular analyses of arbuscular mycorrhizal (AM) fungal communities associated with target plants (Lamarckia aurea and Chrysanthemum coronarium) as well as analyses of trace element concentrations both in soil and in plants were performed. The results showed an improved soil quality reflected by an increase in soil pH and a decrease in trace element availability as a result of the amendments and dosages. Additionally, the phylogenetic diversity of the AM fungal community increased, reaching the maximum diversity at the highest dose of BC. Trace element concentration was considered the predominant soil factor determining the AM fungal community composition. Thereby, the studied AM fungal community reflects a community adapted to different levels of contamination as a result of the amendments. The study highlights the long-term effect of the amendments in stabilizing the soil system.", "keywords": ["2. Zero hunger", "0301 basic medicine", "Minerals", "0303 health sciences", "Bioindicator", "Chrysanthemum", "Genetic Variation", "Hydrogen-Ion Concentration", "15. Life on land", "Poaceae", "Soil biodiversity", "Trace element contaminated soils", "Ecosystem restoration", "Mining", "Soil fungal community", "Trace Elements", "Soil", "03 medical and health sciences", "Biodegradation", " Environmental", "13. Climate action", "Mycorrhizae", "Mine spill", "Bioindicators", "Soil Pollutants", "Phylogeny"]}, "links": [{"href": "https://doi.org/10.1007/s00572-016-0694-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mycorrhiza", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00572-016-0694-3", "name": "item", "description": "10.1007/s00572-016-0694-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00572-016-0694-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-12T00:00:00Z"}}, {"id": "10.1007/s10653-008-9150-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:04Z", "type": "Journal Article", "created": "2008-02-01", "title": "Relationship Between Plant Biodiversity And Heavy Metal Bioavailability In Grasslands Overlying An Abandoned Mine", "description": "Abandoned metal mines in the Sierra de Guadarrama, Madrid, Spain, are often located in areas of high ecological value. This is true of an abandoned barium mine situated in the heart of a bird sanctuary. Today the area sustains grasslands, interspersed with oakwood formations of Quercus ilex and heywood scrub (Retama sphaerocarpa L.), used by cattle, sheep and wild animals. Our study was designed to establish a relationship between the plant biodiversity of these grasslands and the bioavailability of heavy metals in the topsoil layer of this abandoned mine. We conducted soil chemical analyses and performed a greenhouse evaluation of the effects of different soil heavy metal concentrations on biodiversity. The greenhouse bioassays were run for 6 months using soil samples obtained from the mine polluted with heavy metals (Cu, Zn, Pb and Cd) and from a control pasture. Soil heavy metal and Na concentrations, along with the pH, had intense negative effects on plant biodiversity, as determined through changes in the Shannon index and species richness. Numbers of grasses, legumes, and composites were reduced, whilst other species (including ruderals) were affected to a lesser extent. Zinc had the greatest effect on biodiversity, followed by Cd and Cu. When we compared the sensitivity of the biodiversity indicators to the different metal content variables, pseudototal metal concentrations determined by X-ray fluorescence (XRF) were the most sensitive, followed by available and soluble metal contents. Worse correlations between biodiversity variables and metal variables were shown by pseudototal contents obtained by plasma emission spectroscopy (ICP-OES). Our results highlight the importance of using as many different indicators as possible to reliably assess the response shown by plants to heavy metal soil pollution.", "keywords": ["Polluted soils", "2. Zero hunger", "Sodium", "Biodiversity", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Ba", "01 natural sciences", "Mining", "Cd", "Spain", "13. Climate action", "Grasslands", "Metals", " Heavy", "Zn", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Alfa diversity", "Shannon index", "Pb", "Cu", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Hern\u00e1ndez, Ana Jes\u00fas, Pastor Pi\u00f1eiro, Jes\u00fas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10653-008-9150-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Geochemistry%20and%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10653-008-9150-4", "name": "item", "description": "10.1007/s10653-008-9150-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10653-008-9150-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-02-02T00:00:00Z"}}, {"id": "10.1007/s10646-013-1139-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:04Z", "type": "Journal Article", "created": "2013-10-11", "title": "Soil Biological Attributes In Arsenic-Contaminated Gold Mining Sites After Revegetation", "description": "Recovery of arsenic contaminated areas is a challenge society faces throughout the world. Revegetation associated with microbial activity can play an essential role in this process. This work investigated biological attributes in a gold mining area with different arsenic contents at different sites under two types of extant revegetation associated with cover layers of the soil: BS, Brachiaria sp. and Stizolobium sp., and LEGS, Acacia crassicarpa, A. holosericea, A. mangium, Sesbania virgata, Albizia lebbeck and Pseudosamanea guachapele. References were also evaluated, comprising the following three sites: B1, weathered sulfide substrate without revegetation; BM, barren material after gold extraction and PRNH (private reserve of natural heritage), an uncontaminated forest site near the mining area. The organic and microbial biomass carbon contents and substrate-induced respiration rates for these sites from highest to lowest were: PRNH > LEGS > BS > B1 and BM. These attributes were negatively correlated with soluble and total arsenic concentration in the soil. The sites that have undergone revegetation (LEGS and BS) had higher densities of bacteria, fungi, phosphate solubilizers and ammonium oxidizers than the sites without vegetation. Principal component analysis showed that the LEGS site grouped with PRNH, indicating that the use of leguminous species associated with an uncontaminated soil cover layer contributed to the improvement of the biological attributes. With the exception of acid phosphatase, all the biological attributes were indicators of soil recovery, particularly the following: microbial carbon, substrate-induced respiration, density of culturable bacteria, fungi and actinobacteria, phosphate solubilizers and metabolic quotient.", "keywords": ["Arsenic - Contamination", "Microbial biomass", "Quociente microbial", "01 natural sciences", "Mining", "Arsenic", "Photometry", "Respira\u00e7\u00e3o induzida por substrato", "Soil", "Substrate-induced respiration", "Soil Pollutants", "Biomass", "Microbial quotient", "Soil Microbiology", "0105 earth and related environmental sciences", "Ars\u00eanico - Contamina\u00e7\u00e3o", "Spectrophotometry", " Atomic", "Biomassa microbiana", "Phosphate solubilizers", "Solubilizantes de fosfato", "04 agricultural and veterinary sciences", "15. Life on land", "Biodegradation", " Environmental", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Brazil", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1007/s10646-013-1139-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10646-013-1139-9", "name": "item", "description": "10.1007/s10646-013-1139-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10646-013-1139-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-11T00:00:00Z"}}, {"id": "10.1007/s10994-020-05918-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:09Z", "type": "Journal Article", "created": "2020-10-28", "title": "Incremental predictive clustering trees for online semi-supervised multi-target regression", "description": "Abstract<p>In many application settings, labeling data examples is a costly endeavor, while unlabeled examples are abundant and cheap to produce. Labeling examples can be particularly problematic in an online setting, where there can be arbitrarily many examples that arrive at high frequencies. It is also problematic when we need to predict complex values (e.g., multiple real values), a task that has started receiving considerable attention, but mostly in the batch setting. In this paper, we propose a method for online semi-supervised multi-target regression. It is based on incremental trees for multi-target regression and the predictive clustering framework. Furthermore, it utilizes unlabeled examples to improve its predictive performance as compared to using just the labeled examples. We compare the proposed iSOUP-PCT method with supervised tree methods, which do not use unlabeled examples, and to an oracle method, which uses unlabeled examples as though they were labeled. Additionally, we compare the proposed method to the available state-of-the-art methods. The method achieves good predictive performance on account of increased consumption of computational resources as compared to its supervised variant. The proposed method also beats the state-of-the-art in the case of very few labeled examples in terms of performance, while achieving comparable performance when the labeled examples are more common.</p", "keywords": ["semi-supervised learning", "multi-target regression", "Classification and discrimination; cluster analysis (statistical aspects)", "Linear regression; mixed models", "predictive clustering", "Artificial Intelligence", "Learning and adaptive systems in artificial intelligence", "0202 electrical engineering", " electronic engineering", " information engineering", "Online algorithms; streaming algorithms", "02 engineering and technology", "Software", "data-stream mining"]}, "links": [{"href": "https://doi.org/10.1007/s10994-020-05918-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Machine%20Learning", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10994-020-05918-z", "name": "item", "description": "10.1007/s10994-020-05918-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10994-020-05918-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-28T00:00:00Z"}}, {"id": "10.1007/s11356-013-1649-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:22Z", "type": "Journal Article", "created": "2013-04-22", "title": "A Study On As, Cu, Pb And Zn (Bio)Availability In An Abandoned Mine Area (Sao Domingos, Portugal) Using Chemical And Ecotoxicological Tools", "description": "The aim of this study was to relate the results obtained by chemical methods, used to assess environmental (bio)availability, with the ecotoxic response and bioaccumulation of trace elements (TE) by the earthworm Eisenia fetida exposed to field-contaminated, metal-polluted soils from a sulphide mine. The extracting solution 0.5\u00a0M NH4CH3COO, 0.5\u00a0M CH3COOH and 0.02\u00a0M EDTA (pH\u00a04.7), was able to predict environmental bioavailability of TE to E. fetida. However, the toxicological bioavailability could not be predicted from the results of the chemical extractions or from the bioaccumulation results: E. fetida reproduction was higher in soils where environmental bioavailability of TE and bioaccumulation values were also higher. In this study, the toxic response of the organism seemed to be more influenced by the overall nutritional status of the soil (e.g. pH, organic matter, plant nutrient availability and cation exchange capacity) than by its TE contamination. In the case of anthropogenic multi-contaminated sites, the different soil characteristics exert an important and confounding influence in the toxic response and the relationship between different bioavailable fractions cannot be easily established, emphasising the need to combine results from chemical methods with those from bioassays when evaluating the bioavailability of TE in these soils.", "keywords": ["Bioavailability", "Mine contaminated soils", "Biological Availability", "Ecotoxicology", "01 natural sciences", "Bioassays", "Mining", "Arsenic", "Soil", "Animals", "Soil Pollutants", "Oligochaeta", "0105 earth and related environmental sciences", "Trace elements", "Portugal", "04 agricultural and veterinary sciences", "Bioaccumulation", "Zinc", "Lead", "Metals", "Indexa\u00e7\u00e3o ISI", "0401 agriculture", " forestry", " and fisheries", "Chemical extraction methods", "Copper", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1007/s11356-013-1649-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11356-013-1649-2", "name": "item", "description": "10.1007/s11356-013-1649-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11356-013-1649-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-23T00:00:00Z"}}, {"id": "10.1016/j.biortech.2010.01.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:56Z", "type": "Journal Article", "created": "2010-01-30", "title": "Heavy Metals Concentration In Plants Growing On Mine Tailings In Central Mexico", "description": "Metal concentrations were measured in plants growing on heavily contaminated tailings from a mine active since about 1800 in San Luis Potos\u00ed (Mexico). Viguiera dentata (Cav.) Spreng., Parthenium bipinnatifidum (Ort.) Rollins, Flaveria angustifolia (Cav.) Pers., F. trinervia (Spreng.) C. Mohr. and Sporobolusindicus (L.) R. Br. were tolerant to high As, Cu, Pb and Zn concentrations. Of those, S.indicus excluded heavy metals from its shoots, while P. bipinnatifidum and F. angustifolia accumulated them. V. dentata and P. bipinnatifidum were accumulators of As, but not hyperaccumulators. It was found that V. dentata,P. bipinnatifidum, F. angustifolia, F. trinervia and S.indicus, could be used to vegetate soils contaminated with As, Cu, Pb and Zn. Ambrosiaartemisifolia could be used to remediate soils contaminated with Zn, S. amplexicaulis those with Cu and F. angustifolia and F. trinervia those with As, as they have a strong capacity to accumulate those metals.", "keywords": ["Species Specificity", "Metals", " Heavy", "Plant Development", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Mexico", "01 natural sciences", "Mining", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Luc Dendooven, Marina O. Franco-Hern\u00e1ndez, A. Pati\u00f1o-Siciliano, Mar\u00eda Soledad V\u00e1squez-Murrieta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.biortech.2010.01.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioresource%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biortech.2010.01.013", "name": "item", "description": "10.1016/j.biortech.2010.01.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biortech.2010.01.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-06-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2006.12.071", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:00Z", "type": "Journal Article", "created": "2007-02-21", "title": "The Copper Tolerance Strategies And The Role Of Antioxidative Enzymes In Three Plant Species Grown On Copper Mine", "description": "This study was undertaken to identify the strategies and the status of antioxidant enzyme activities involved in three plant species tolerance against Cu-toxicity in copper mine. The following methods were used for evaluations in three wild type species; Datura stramonium, Malva sylvestris and Chenopodium ambrosioides. The level of chlorophyll and the activities of superoxide dismutase (SOD), glutathione peroxidase (GPX) and catalase (CAT) by spectrometry, malondialdehyde (MDA) and dityrosine by HPLC and the levels of Cu in tissues and soils by atomic absorption spectrometry (AAS). Analysis showed that total and available copper were at toxic levels for plants growing on contaminated soil (zone 1). However, there were not any visual and conspicuous symptoms of Cu toxicity in plant species. Among three species, excess copper was transferred only into the D. stramonium and C. ambrosioides tissues. The C. ambrosioides accumulated Cu in roots and then in leaves, in which the leaves chloroplasts stored Cu around two times of vacuoles. In D. stramonium most of Cu was accumulated in leaves in which the storage rate in vacuoles and chloroplasts were 42% and 8%, respectively. In zone 1, the chlorophyll levels increased significantly in leaves of C. ambrosioides with respect to the same plant growing on uncontaminated soil (zone 2). There was insignificant decrease in chlorophyll content of D. stramonium leaves, collected from zone 1 with respect to zone 2. The D. stramonium and C. ambrosioides in zone 1, both revealed significant increase in their tissues antioxidant enzyme activities in comparison with the same samples of zone 2. There was significant elevation in oxidative damage biomarkers; MDA and dityrosine, when the aerial parts of D. stramonium in zone 1 were compared with the same parts of zone 2. We concluded that there were different tolerance strategies in studied plant species that protected them against copper toxicity. In M. sylvestris, exclusion of Cu from the roots or its stabilization in the soil restricted Cu toxicity effects. On the other hand D. stramonium and C. ambrosioides, elevated their antioxidative enzyme activities in response to cu-toxicity. In addition, the species D. stramonium accumulated excess of Cu in leaves vacuoles.", "keywords": ["Chlorophyll", "0106 biological sciences", "0301 basic medicine", "Chloroplasts", "Malva", "Plants", "15. Life on land", "Lipid Metabolism", "Plant Roots", "01 natural sciences", "Antioxidants", "Mining", "6. Clean water", "Chenopodium", "Oxidative Stress", "Soil", "03 medical and health sciences", "Malondialdehyde", "Vacuoles", "Datura", "Tyrosine", "Biomass", "Copper", "Plant Proteins"], "contacts": [{"organization": "Massod Mashhadi Akbar Boojar, Faranak Goodarzi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2006.12.071"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2006.12.071", "name": "item", "description": "10.1016/j.chemosphere.2006.12.071", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2006.12.071"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-05-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2009.01.042", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:00Z", "type": "Journal Article", "created": "2009-02-16", "title": "Effects Of Earthworms On Metal Uptake Of Heavy Metals From Polluted Mine Soils By Different Crop Plants", "description": "A pot experiment was conducted in order to assess the effect of the earthworm Eisenia fetida on the uptake of Pb, Zn, Cd and Cu from soils polluted by mining activities using maize (Zea mays) and barley (Hordeum vulgare). Results from single and sequential extractions showed that the soil chemical partitioning of heavy metals was significantly changed by E. fetida, leading to a higher concentration of metals in the non-residual fractions of the soil. Earthworm activities significantly increased shoot biomass (65% for maize and 73% for barley) and root metal concentration for all the metals under study in both maize and barley. The total accumulation rate values for Cd, Cu, Pb and Zn were significantly higher in the presence of E. fetida for both crop plants. Those latter effects led to an increase in Zn extraction yields of up to 3.7-fold and 2.3-fold for barley and maize, respectively.", "keywords": ["2. Zero hunger", "Hordeum", "04 agricultural and veterinary sciences", "Chemical Fractionation", "Plant Roots", "Zea mays", "01 natural sciences", "Mining", "Biodegradation", " Environmental", "13. Climate action", "Metals", " Heavy", "Animals", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Oligochaeta", "Plant Shoots", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2009.01.042"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2009.01.042", "name": "item", "description": "10.1016/j.chemosphere.2009.01.042", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2009.01.042"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-05-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2022.136146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:01Z", "type": "Journal Article", "created": "2022-08-26", "title": "Phytoextraction of Cu, Cd, Zn and As in four shrubs and trees growing on soil contaminated with mining waste", "description": "Mining activity has degraded large extensions of soil and its waste is composed of metals, anthropogenic chemicals, and sterile rocks. The use of native species in the recovery of polluted soils improves the conditions for the emergence of other species, tending to a process of ecosystem restoration. The objective of this study was to evaluate the bioaccumulation of metal(loid)s in four species of native plants and the effect of their distribution and bioavailability in soil with waste from an abandoned gold mine. Soil samples were taken from two sites in La Planta, San Juan, Argentina: Site 1 and Site 2 (mining waste and reference soil, respectively). In Site 1, vegetative organ samples were taken from Larrea cuneifolia, Bulnesia retama, Plectrocarpa tetracantha, and Prosopis flexuosa. The concentration of metal(loid)s in soil from Site 1 were Zn\u00a0>\u00a0As\u00a0>\u00a0Cu\u00a0>\u00a0Cd, reaching values of 7123, 6516, 240 and 76\u00a0mg\u00a0kg-1, respectively. The contamination indices were among the highest categories of contamination for all four metal(loid)s. The spatial interpolation analysis showed the effect of the vegetation as the lowest concentration of metal(loid)s were found in rhizospheric soil. The maximum concentrations of As, Cu, Cd and Zn found in vegetative organs were 371, 461, 28, and 1331\u00a0mg\u00a0kg-1, respectively. L. cuneifolia and B. retama presented high concentrations of Cu and Zn. The most concentrated metal(loid)s in P. tetracantha and P. flexuosa were Zn, As and Cu. Cd was the least concentrated metal in all four species. The values of BAF and TF were greater than one for all four species. In conclusion, the different phytoextraction capacities and the adaptations to arid environments of these four species are an advantage for future phytoremediation strategies. Their application contributes to the ecological restoration and risk reduction, allowing the recovery of ecosystem services.", "keywords": ["Biodisponibilidad", "Bioavailability", "BIOAVAILABILITY", "Soil pollution", "01 natural sciences", "Mining", "Trees", "Bioacumulaci\u00f3n", "SOIL POLLUTION", "Soil", "https://purl.org/becyt/ford/1.5", "Metals", " Heavy", "Poluci\u00f3n del Suelo", "Metales", "Soil Pollutants", "https://purl.org/becyt/ford/1", "Ecosystem", "0105 earth and related environmental sciences", "2. Zero hunger", "Metal", "Abandoned mine", "ABANDONED MINE", "PHYTOREMEDIATION", "BIOACCUMULATION", "15. Life on land", "Bioaccumulation", "6. Clean water", "Phytoremediation", "Zinc", "Biodegradation", " Environmental", "Metals", "13. Climate action", "METAL", "Miner\u00eda", "Fitodecontaminaci\u00f3n", "Gold", "Soil Pollution", "Cadmium", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2022.136146"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2022.136146", "name": "item", "description": "10.1016/j.chemosphere.2022.136146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2022.136146"}, {"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": "10.3390/microorganisms8071093", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:03Z", "type": "Journal Article", "created": "2020-07-22", "title": "New insight into antimicrobial compounds from food and marine-sourced Carnobacterium species through phenotype and genome analyses.", "description": "<p>Carnobacterium maltaromaticum and Carnobacterium divergens, isolated from food products, are lactic acid bacteria known to produce active and efficient bacteriocins. Other species, particularly those originating from marine sources, are less studied. The aim of the study is to select promising strains with antimicrobial potential by combining genomic and phenotypic approaches on large datasets comprising 12 Carnobacterium species. The biosynthetic gene cluster (BGCs) diversity of 39 publicly available Carnobacterium spp. genomes revealed 67 BGCs, distributed according to the species and ecological niches. From zero to six BGCs were predicted per strain and classified into four classes: terpene, NRPS (non-ribosomal peptide synthetase), NRPS-PKS (hybrid non-ribosomal peptide synthetase-polyketide synthase), RiPP (ribosomally synthesized and post-translationally modified peptide). In parallel, the antimicrobial activity of 260 strains from seafood products was evaluated. Among the 60% of active strains, three genomes were sequenced and submitted to a dereplication process. C. inhibens MIP2551 produced a high amountof H2O2, probably thanks to the presence of four oxidase-encoding genes. C. maltaromaticum EBP3019 and SF668 strains were highly efficient against Listeria monocytogenes. A new extracellular 16 kDa unmodified bacteriocin in the EBP3019 strain and five different bacteriocins in SF668 were highlighted. In this study, the overview of antimicrobial BGC and inhibitory activities of Carnobacterium spp. allowed the prediction of potential innovative natural products that could be relevant for biotechnological applications.</p>", "keywords": ["Carnobacteriumspp", "0301 basic medicine", "2. Zero hunger", "570", "natural product", "antimicrobial activity", "QH301-705.5", "[SDV]Life Sciences [q-bio]", "NRPS", "hydrogen peroxide", "630", "<i>Carnobacterium </i>spp.", "<i>Carnobacterium</i> spp.", "Article", "lactic acid bacteria", "03 medical and health sciences", "bacteriocin", "genome mining", "RiPP", "Biology (General)", "terpene"]}, "links": [{"href": "http://www.mdpi.com/2076-2607/8/7/1093/pdf"}, {"href": "https://www.mdpi.com/2076-2607/8/7/1093/pdf"}, {"href": "https://doi.org/10.3390/microorganisms8071093"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/microorganisms8071093", "name": "item", "description": "10.3390/microorganisms8071093", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/microorganisms8071093"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-21T00:00:00Z"}}, {"id": "10.1016/j.envpol.2006.06.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:13Z", "type": "Journal Article", "created": "2006-09-29", "title": "Growth Of Lygeum Spartum In Acid Mine Tailings: Response Of Plants Developed From Seedlings, Rhizomes And At Field Conditions", "description": "Lygeum spartum is a native species in semiarid Mediterranean areas that grows spontaneously on acid mine tailings. We aimed to study the suitability of this plant for phytostabilization. L. spartum was grown from both seeds and rhizomes in acid mine tailings with various fertilizer and lime treatments. Untreated soils had a solution pH of 2.9 with high concentrations of dissolved salts (Electrical Conductivity 25 dS m(-1)) and Zn (3100 mg L(-1)). Plants grown on untreated soil had high shoot metal concentrations (>4000 mg kg(-1)Zn). Liming increased the solution pH to 5.5 and reduced the dissolved salts by more than 75%, resulting in lower shoot metal accumulation. Plants grown from rhizomes accumulated less metal than those grown from seeds. Plants collected in the field had metal concentrations an order of magnitude less than plants raised in the growth chamber. These differences may be due to the higher moisture content and homogeneous nature of the soils used in the pot experiment.", "keywords": ["Anions", "Waste Products", "Oxides", "04 agricultural and veterinary sciences", "Calcium Compounds", "Hydrogen-Ion Concentration", "15. Life on land", "Poaceae", "Plant Roots", "01 natural sciences", "Mining", "Plant Leaves", "Soil", "Zinc", "Seedlings", "Cations", "Metals", " Heavy", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Fertilizers", "Plant Shoots", "Rhizome", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2006.06.002"}, {"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.2006.06.002", "name": "item", "description": "10.1016/j.envpol.2006.06.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2006.06.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-02-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2006.12.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:13Z", "type": "Journal Article", "created": "2007-02-21", "title": "Effects Of Metals On Life Cycle Parameters Of The Earthworm Eisenia Fetida Exposed To Field-Contaminated, Metal-Polluted Soils", "description": "Two control and eight field-contaminated, metal-polluted soils were inoculated with Eisenia fetida (Savigny, 1826). Three, 7, 14, 21, 28 and 42 days after inoculation, earthworm survival, body weight, cocoon production and hatching rate were measured. Seventeen metals were analysed in E. fetida tissue, bulk soil and soil solution. Soil organic carbon content, texture, pH and cation exchange capacity were also measured. Cocoon production and hatching rate were more sensitive to adverse conditions than survival or weight change. Soil properties other than metal concentration impacted toxicity. The most toxic soils were organic-poor (1-10 g C kg(-1)), sandy soils (c. 74% sand), with intermediate metal concentrations (e.g. 7150-13,100 mg Pb kg(-1), 2970-53,400 mg Zn kg(-1)). Significant relationships between soil properties and the life cycle parameters were determined. The best coefficients of correlation were generally found for texture, pH, Ag, Cd, Mg, Pb, Tl, and Zn both singularly and in multivariate regressions. Studies that use metal-amended artificial soils are not useful to predict toxicity of field multi-contaminated soils.", "keywords": ["2. Zero hunger", "Hazardous Waste", "Silver", "Reproduction", "Body Weight", "04 agricultural and veterinary sciences", "Hydrogen-Ion Concentration", "15. Life on land", "01 natural sciences", "Mining", "United Kingdom", "6. Clean water", "Zinc", "Lead", "13. Climate action", "Metals", " Heavy", "Toxicity Tests", " Acute", "Animals", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Magnesium", "Oligochaeta", "Thallium", "Cadmium", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2006.12.018"}, {"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.2006.12.018", "name": "item", "description": "10.1016/j.envpol.2006.12.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2006.12.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2007.06.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:13Z", "type": "Journal Article", "created": "2007-07-26", "title": "Contribution Of Heavy Metals And As-Loaded Lupin Root Mineralization To The Availability Of The Pollutants In Multi-Contaminated Soils", "description": "White lupin (Lupinus albus L.) is an annual crop that has been used for phytostabilization of acidified multi-contaminated soils. Once the culture cycle is over, after shoot harvesting, a progressive transference of contaminants from roots to soil may take place as decomposition of roots occurs. An incubation experiment with Cu, Zn, Cd, and As-loaded roots of white lupin and soils with different pH values and concentrations of these contaminants from the area affected by a mine spill at Aznalc\u00f3llar (near Seville, Spain) was performed in order to assess the effect of the decomposition of the roots to the pH and (NH4)2SO4-extractable levels of these pollutants in the soils. Pollutants loaded-roots were mineralized (56 d) at a ratio similar to animal manures (15.8-19.4% of total organic carbon) in soil. The estimated root inputs of contaminants in comparison to their extractable concentrations in soil were high, especially in the control, non-contaminated and neutral contaminated soils. However, the extractable concentrations of the toxic elements in the soil were mainly governed by soil pH. Hence, the correction and maintenance of the soil pH within the range 5-6 after lupin culture is essential for long-time phytostabilization of acidified multi-contaminated soils.", "keywords": ["2. Zero hunger", "Hydrogen-Ion Concentration", "15. Life on land", "Plant Roots", "01 natural sciences", "Mining", "6. Clean water", "Arsenic", "Lupinus", "Zinc", "Biodegradation", " Environmental", "Spain", "13. Climate action", "Metals", " Heavy", "Soil Pollutants", "Copper", "Humic Substances", "Cadmium", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2007.06.018"}, {"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.2007.06.018", "name": "item", "description": "10.1016/j.envpol.2007.06.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2007.06.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-03-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2008.11.050", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:13Z", "type": "Journal Article", "created": "2009-01-19", "title": "Ion Activity And Distribution Of Heavy Metals In Acid Mine Drainage Polluted Subtropical Soils", "description": "The oxidative dissolution of mine wastes gives rise to acidic, metal-enriched mine drainage (AMD) and has typically posed an additional risk to the environment. The poly-metallic mine Dabaoshan in South China is an excellent test site to understand the processes affecting the surrounding polluted agricultural fields. Our objectives were firstly to investigate metal ion activity in soil solution, distribution in solid constituents, and spatial distribution in samples, secondly to determine dominant environment factors controlling metal activity in the long-term AMD-polluted subtropical soils. Soil Column Donnan Membrane Technology (SC-DMT) combined with sequential extraction shows that unusually large proportion of the metal ions are present as free ion in the soil solutions. The narrow range of low pH values prevents any pH effects during the binding onto oxides or organic matter. The differences in speciation of the soil solutions may explain the different soil degradation observed between paddy and non-paddy soils.", "keywords": ["China", "Time Factors", "550", "Speciation", "0211 other engineering and technologies", "Industrial Waste", "02 engineering and technology", "Chemical Fractionation", "01 natural sciences", "Mining", "Soil", "Acid mine drainage", "X-Ray Diffraction", "Metals", " Heavy", "Soil Pollutants", "Humic Substances", "0105 earth and related environmental sciences", "Ions", "Hydrogen-Ion Concentration", "15. Life on land", "6. Clean water", "Tropical soils", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Sorption", "Free ion", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2008.11.050"}, {"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.2008.11.050", "name": "item", "description": "10.1016/j.envpol.2008.11.050", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2008.11.050"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2010.11.032", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:14Z", "type": "Journal Article", "created": "2010-12-29", "title": "Lumbricus Terrestris L. Activity Increases The Availability Of Metals And Their Accumulation In Maize And Barley", "description": "The effect of the earthworm Lumbricus terrestris L. on metal availability in two mining soils was assessed by means of chemical extraction methods and a pot experiment using crop plants. Results from single and sequential extractions showed that L. terrestris had a slight effect on metal fractionation in the studied soils: only metals bound to the soil organic matter were significantly increased in some cases. However, we found that L. terrestris significantly increased root, shoot and total Pb and Zn concentrations in maize and barley for the soil with the highest concentrations of total and available metals. Specifically, shoot Pb concentration was increased by a factor of 7.5 and 3.9 for maize and barley, respectively, while shoot Zn concentration was increased by a factor of 3.7 and 1.7 for maize and barley, respectively. Our results demonstrated that earthworm activity increases the bioavailability of metals in soils.", "keywords": ["2. Zero hunger", "Hordeum", "04 agricultural and veterinary sciences", "Chemical Fractionation", "15. Life on land", "Plant Roots", "Zea mays", "01 natural sciences", "Mining", "Soil", "Zinc", "Biodegradation", " Environmental", "Lead", "Spain", "Animals", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Oligochaeta", "Plant Shoots", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2010.11.032"}, {"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.2010.11.032", "name": "item", "description": "10.1016/j.envpol.2010.11.032", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2010.11.032"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-03-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2019.01.105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:14Z", "type": "Journal Article", "created": "2019-02-01", "title": "Soil moisture influences the avoidance behavior of invertebrate species in anthropogenic metal(loid)-contaminated soils", "description": "Water availability is paramount in the response of soil invertebrates towards stress situations. This study aimed to evaluate the effects of forecasted soil moisture scenarios on the avoidance behavior of two invertebrate species (the arthropod Folsomia candida and the soft-bodied oligochaete Enchytraeus crypticus) in soils degraded by different types of anthropogenic metal(loid) contamination (mining soil and agricultural soil affected by industrial chemical wastes). Different soil moisture contents (expressed as % of the soil water holding capacity, WHC) were evaluated: 50% (standard soil moisture conditions for soil invertebrates' tests); 75% (to simulate increasing soil water availability after intense rainfalls and/or floods); 40%, 30%, 25% and 20% (to simulate decreasing soil water availability during droughts). Invertebrates' avoidance behavior and changes in soil porewater major ions and metal(loid)s were assessed after 48\u202fh exposure. Soil incubations induced a general solubilization/mobilization of porewater major ions, while higher soil acidity favored the solubilization/mobilization of porewater metal(loid)s, especially at 75% WHC. Folsomia candida preferred soils moistened at 50% WHC, regardless the soils were contaminated or not and the changing soil porewater characteristics. Enchytraeus crypticus avoided metal(loid) contamination, but this depended on the soil moisture conditions and the corresponding changes in porewater characteristics: enchytraeids lost their capacity to avoid contaminated soils under water stress situations (75% and 20-25% WHC), but also when contaminated soils had greater water availability than control soils. Therefore, forecasted soil moisture scenarios induced by global warming changed soil porewater composition and invertebrates capacity to avoid metal(loid)-contaminated soils.", "keywords": ["2. Zero hunger", "Global warming", "Water", "Metal(loid) availability", "Enchytraeus crypticus", "Agriculture", "15. Life on land", "Global Warming", "01 natural sciences", "Mining", "6. Clean water", "Folsomia candida", "Soil", "Metals", "13. Climate action", "Avoidance Learning", "Animals", "Soil Pollutants", "Oligochaeta", "Multiple stressors", "Environmental Pollution", "Arthropods", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2019.01.105"}, {"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.2019.01.105", "name": "item", "description": "10.1016/j.envpol.2019.01.105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2019.01.105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-01T00:00:00Z"}}, {"id": "10.1016/j.gexplo.2011.09.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:36Z", "type": "Journal Article", "created": "2011-09-23", "title": "Toxicity Assessment Of Contaminated Soils From A Mining Area In Northeast Italy By Using Lipid Peroxidation Assay", "description": "Abstract   Contamination by heavy metals in soils may strongly affect the environmental quality. Lipid peroxidation caused by heavy metals in plants was investigated as a relevant bioassay of toxicity. Soils and wild plants (dandelion and willow) were collected from an abandoned mine area in northeast Italy, and the concentration of different heavy metals (Ni, Cr, Cu, Pb, Zn, Fe and Mn) were measured and analyzed. Soils affected by mining activities presented total Zn, Cu, and Pb concentrations (2566, 3975, 20,815\u00a0mg\u00a0kg \u22121  respectively) above toxic thresholds, and 58% for Fe. Heavy metal-induced oxidative stress was evidenced by the generation of reactive radicals, followed by an increase in malondialdehyde (MDA) production up to 41.64\u00a0\u03bcM in willow leaves. We found that MDA concentration in plant tissues differed significantly among species and plant organs. The higher concentration of metal in soil corresponded with the higher concentration of MDA in the plant. The combined results of metal concentration, MDA content and translocation coefficients in plants show that the investigated plants are rather highly tolerant towards environmental pollution. This suggests that they could be useful in phytoremediation of metal contaminated sites.", "keywords": ["13. Climate action", "Heavy metals; Lipid peroxidation; Mining pollution; Salix spp.; Taraxacum officinale;", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/34763/1/geoexplo%20lipid%20peroxidation.pdf"}, {"href": "https://doi.org/10.1016/j.gexplo.2011.09.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geochemical%20Exploration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gexplo.2011.09.008", "name": "item", "description": "10.1016/j.gexplo.2011.09.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gexplo.2011.09.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-02-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2008.05.109", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:43Z", "type": "Journal Article", "created": "2008-05-29", "title": "Heavy Metals Distribution In Soils Surrounding An Abandoned Mine In Nw Madrid (Spain) And Their Transference To Wild Flora", "description": "The present work concerns the distribution and mobility of heavy metals (Fe, Mn, Cu, Zn and Cd) in the surrounding soils of a mine site and their transfer to wild flora. Thus, soils and plants were sampled from a mining valley in NW Madrid (Spain), and total and extractable heavy metals were analysed. Soils affected by mining activities presented total Cd, Cu and Zn concentrations above toxic thresholds. The percentage of extractable element was highest for Cd and lowest for Cu. A highly significant correlation was observed between the total and extractable concentrations of metals in soils, indicating that, among the factors studied, total metals concentration is the most relevant for heavy metals extractability in these soils. (NH(4))(2)SO(4)-extractable metal concentrations in soils are correlated better with metal concentrations in several plant species than total metals in soils, and thus can be used as a suitable and robust method for the estimation of the phytoavailable fraction present in soils. Twenty-five vascular plant species (3 ferns and 22 flowering plants) were analysed, in order to identify exceptional characteristics that would be interesting for soil phytoremediation and/or reclamation. High Cd and Zn concentrations have been found in the aerial parts of Hypericum perforatum (Cd), Salix atrocinerea (Cd, Zn) and Digitalis thapsi (Cd, Zn). The present paper is, to the best of our knowledge, the first report of the metal accumulation ability of the two latter plant species. The phytoremediation ability of S. atrocinerea for Cd and Zn was estimated, obtaining intervals of time that could be considered suitable for the phytoextraction of polluted soils.", "keywords": ["Spain", "Metals", " Heavy", "Soil Pollutants", "Plants", "15. Life on land", "01 natural sciences", "Environmental Restoration and Remediation", "Mining", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2008.05.109"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2008.05.109", "name": "item", "description": "10.1016/j.jhazmat.2008.05.109", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2008.05.109"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-03-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2009.12.035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:43Z", "type": "Journal Article", "created": "2009-12-18", "title": "In Situ Phytostabilisation Of Heavy Metal Polluted Soils Using Lupinus Luteus Inoculated With Metal Resistant Plant-Growth Promoting Rhizobacteria", "description": "The aim of this work is the evaluation of metal phytostabilisation potential of Lupinus luteus inoculated with Bradyrhizobium sp. 750 and heavy metal resistant PGPRs (plant-growth promoting rhizobacteria), for in situ reclamation of multi-metal contaminated soil after a mine spill. Yellow lupines accumulated heavy metals mainly in roots (Cu, Cd and especially Pb were poorly translocated to shoots). This indicates a potential use of this plant in metal phytostabilisation. Furthermore, As accumulation was undetectable. On the other hand, zinc accumulation was 10-100 times higher than all other metals, both in roots and in shoots. Inoculation with Bradyrhizobium sp. 750 increased both biomass and nitrogen content, indicating that nitrogen fixation was effective in soils with moderate levels of contamination. Co-inoculation of lupines with a consortium of metal resistant PGPR (including Bradyrhizobium sp., Pseudomonas sp. and Ochrobactrum cytisi) produced an additional improvement of plant biomass. At the same time, a decrease in metal accumulation was observed, both in shoots and roots, which could be due to a protective effect exerted on plant rhizosphere. Our results indicate the usefulness of L. luteus inoculated with a bacterial consortium of metal resistant PGPRs as a method for in situ reclamation of metal polluted soils.", "keywords": ["Chemical Hazard Release", "15. Life on land", "Plant Roots", "01 natural sciences", "Mining", "6. Clean water", "Lupinus", "Biodegradation", " Environmental", "13. Climate action", "Metals", " Heavy", "Nitrogen Fixation", "Soil Pollutants", "Decontamination", "Rhizobium", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Antonio J. Palomares, Antonio J. Palomares, M.A. Chamber-P\u00e9rez, Elo\u00edsa Pajuelo, Mohammed Dary,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2009.12.035"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2009.12.035", "name": "item", "description": "10.1016/j.jhazmat.2009.12.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2009.12.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-05-01T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-561383/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:06Z", "type": "Journal Article", "created": "2021-05-27", "title": "A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 \u2013 2019) based on LUCAS, CORINE and GLAD Landsat", "description": "Abstract         <p>A seamless spatiotemporal machine learning framework for automated prediction, uncertainty assessment, and analysis of land use / land cover (LULC) dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal covariate datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land Cover-derived training samples, (2) model building based on spatial k-fold cross-validation and hyper-parameter optimization, (3) prediction of the most probable class, class probabilities and uncertainty per pixel, (4) LULC change analysis on time-series of produced maps. The spatiotemporal ensemble model was fitted by combining random forest, gradient boosted trees, and artificial neural network, with logistic regressor as meta-learner. The results show that the most important covariates for mapping LULC in Europe are: seasonal aggregates of Landsat green and near-infrared bands, multiple Landsat-derived spectral indices, and elevation. Spatial cross-validation of the model indicates consistent performance across multiple years with 62%, 70%, and 87% accuracy when predicting 33 (level-3), 14 (level-2), and 5 classes (level-1); with artificial surface classes such as 'airports' and 'railroads' showing the lowest match with validation points. The spatiotemporal model outperforms spatial models on known-year classification by 2.7% and unknown-year classification by 3.5%. Results of the accuracy assessment using 48,365 independent test samples shows 87% match with the validation points. Results of time-series analysis (time-series of LULC probabilities and NDVI images) suggest gradual deforestation trends in large parts of Sweden, the Alps, and Scotland. An advantage of using spatiotemporal ML is that the fitted model can be used to predict LULC in years that were not included in its training dataset, allowing generalization to past and future periods, e.g. to predict land cover for years prior to 2000 and beyond 2020. The generated land cover time-series data stack (ODSE-LULC), including the training points, is publicly available via the Open Data Science (ODS)-Europe Viewer.</p", "keywords": ["Time Factors", "Spatiotemporal", "QH301-705.5", "Data Mining and Machine Learning", "Urbanization", "Uncertainty", "Spatial analysis", "R", "Environmental monitoring", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Europe", "Big data", "Machine learning", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Biology (General)", "Landsat", "Ensemble", "Land use/land cover", "Environmental Monitoring", "Probability", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.21203/rs.3.rs-561383/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-561383/v1", "name": "item", "description": "10.21203/rs.3.rs-561383/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-561383/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-27T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2014.07.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:07Z", "type": "Journal Article", "created": "2014-08-02", "title": "Effect Of Nutrients Availability And Long-Term Tillage On Priming Effect And Soil C Mineralization", "description": "Abstract   Agricultural management practices including soil tillage exert strong control on soil organic matter (SOM) turnover and its interactions with global C cycle through different mechanisms. One control mechanism is the priming effect (PE) which consists in stimulating SOM mineralization with the addition of fresh, energetic plant material. In this study, we quantified C mineralization and PE in soils sampled in two contrasted long-term (40 years) tillage treatments which deeply modified soil properties (e.g. organic C concentration, microbial biomass, pH). We hypothesized that soil tillage might affect these processes through changes in C addition rates, nutrient availability, and long-term variations in SOM content and microbial communities. We investigated the relationship between PE intensity, tillage and nutrients availability in soil samples taken in no till (NT) and full inversion tillage (FIT) in two layers (0\u20135 and 15\u201320\u00a0cm). Soils were incubated with or without addition of  13 C labeled cellulose and mineral nutrients. Potential C mineralization and primed C were measured during 262 days. Unlabeled soil microbial biomass C was determined at the end of the experiment to separate apparent and real priming effect.  Basal cumulative C mineralization in the control soil ranged from 363 to 1490\u00a0mg\u00a0kg \u22121  soil at day 262. It was strongly correlated with soil organic carbon (SOC) concentration. Specific mineralization rates were 44.8 and 68.8\u00a0g\u00a0kg \u22121  SOC in the 0\u20135\u00a0cm layer for the FIT and NT treatments, respectively and were strongly linked with the particulate organic matter content ( r \u00a0=\u00a00.99***). These results suggest that SOC was more active in the upper layer of the NT treatment due to the high concentration of readily-decomposable, particulate organic matter. The cellulose was entirely metabolized after 60 days and its kinetics of mineralization was affected neither by tillage, depth nor nutrients. The percentage of cellulose C released as CO 2  represented 55\u201361% of the added cellulose-C at day 262. A positive PE was found in all treatments and its kinetics was parallel to that of cellulose mineralization. The cumulative PE significantly varied with nutrients level but not tillage, ranging from 73 to 78\u00a0mg\u00a0kg \u22121  under high nutrients level and from 116 to 136\u00a0mg\u00a0kg \u22121  in low nutrients level. No significant differences were found in unlabeled microbial biomass C between control and amended soil, suggesting no apparent priming effect. We conclude that the priming was mainly controlled by nutrient availability but not tillage, in spite of strong tillage-induced changes in SOC concentration and microbial biomass. Since PE is known to depend on C addition rate, tillage is expected to affect  in situ  PE through variations in the ratio of fresh carbon to nutrient concentration along the soil profile.", "keywords": ["priming effect", "2. Zero hunger", "microbial biomass", "no till", "nutrient mining", "04 agricultural and veterinary sciences", "15. Life on land", "soil organic carbon mineralization", "630", "6. Clean water", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "full inversion tillage", "0401 agriculture", " forestry", " and fisheries", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology"], "contacts": [{"organization": "Dimassi, Bassem, Mary, Bruno, Fontaine, S\u00e9bastien, Perveen, Nazia, Revaillot, Sandrine, Cohan, Jean-Pierre,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2014.07.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2014.07.016", "name": "item", "description": "10.1016/j.soilbio.2014.07.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2014.07.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/adfe83", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:23Z", "type": "Journal Article", "created": "2025-09-02", "title": "Mining global soil carbon datasets: can modern machine learning uncover the missing pieces of process-based models?", "description": "Abstract                <p>The future of terrestrial soil carbon stocks plays a crucial role in climate change prediction. Modern machine learning techniques are now widely applied in soil science to predict the spatial distribution of soil properties from observational data. Beyond prediction, the use of machine learning as a data-mining tool offers a promising pathway for improving soil carbon modelling and refining projections of climate\uffe2\uff80\uff93carbon feedbacks. In this paper, we review recent advances in the application of machine learning to global soil carbon modelling as a data-mining tool and highlight its potential to drive an iterative feedback loop that improves the representation of soil carbon dynamics in Earth System Models.</p", "keywords": ["machine learning", "data-mining", "global soil carbon map", "global soil carbon modelling", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]", "FairCarboN", "[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis", " Statistics and Probability [physics.data-an]", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/adfe83"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/adfe83", "name": "item", "description": "10.1088/1748-9326/adfe83", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/adfe83"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-02T00:00:00Z"}}, {"id": "10.1109/jphotov.2019.2943706", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:36Z", "type": "Journal Article", "created": "2019-10-23", "title": "Extracting and Generating PV Soiling Profiles for Analysis, Forecasting, and Cleaning Optimization", "description": "<p>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;The identification and prediction of the daily soiling profiles of a photovoltaic site is essential to plan the optimal cleaning schedule. In this article, we analyze and propose various methods to extract and generate photovoltaic soiling profiles, in order to improve the analysis and the forecast of the losses. New soiling rate extraction methods are proposed to reflect the seasonal variability of the soiling rates and, for this reason, are found to identify the most convenient cleaning day with the highest accuracy for the investigated sites. Also, we present an approach that could be used to predict future soiling losses through the implementation of stochastic weather generation algorithms whose ability to identify in advance the best cleaning schedule is also successfully tested. The methods presented in this article can optimize the operation and maintenance schedule and could make it possible, in the future, to predict soiling losses through analysis based only on environmental parameters, such as rainfall and particulate matter, without the need of long-term soiling data.&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</p>", "keywords": ["Optimization", "Power", " Energy and Industry Applications", "Schedules", "Rain", "Cleaning", "Field Performance", "solar energy", "0211 other engineering and technologies", "02 engineering and technology", "Prediction methods", "7. Clean energy", "13. Climate action", "Soil measurements", "time series analysis", "0202 electrical engineering", " electronic engineering", " information engineering", "soiling", "stochastic processes", "Data mining", "Photovoltaic systems", "field performance; optimization; photovoltaic (PV) systems; prediction methods; soiling; solar energy; stochastic processes; time series analysis"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625584/3/Micheli_postprint_Extracting_2020.pdf"}, {"href": "http://xplorestaging.ieee.org/ielx7/5503869/8939133/08880477.pdf?arnumber=8880477"}, {"href": "https://doi.org/10.1109/jphotov.2019.2943706"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Journal%20of%20Photovoltaics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/jphotov.2019.2943706", "name": "item", "description": "10.1109/jphotov.2019.2943706", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/jphotov.2019.2943706"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-03T00:00:00Z"}}, {"id": "10.3390/plants12051162", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:05Z", "type": "Journal Article", "created": "2023-03-06", "title": "Spontaneous Primary Succession and Vascular Plant Recovery in the Iberian Gypsum Quarries: Insights for Ecological Restoration in an EU Priority Habitat", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Gypsum covers a vast area of the Iberian Peninsula, making Spain a leader in its production. Gypsum is a fundamental raw material for modern societies. However, gypsum quarries have an obvious impact on the landscape and biodiversity. Gypsum outcrops host a high percentage of endemic plants and unique vegetation, considered a priority by the EU. Restoring gypsum areas after mining is a key strategy to prevent biodiversity loss. For the implementation of restoration approaches, understanding vegetation\u2019s successional processes can be of invaluable help. To fully document the spontaneous succession in gypsum quarries and to evaluate its interest for restoration, 10 permanent plots of 20 \u00d7 50 m were proposed, with nested subplots, in which vegetation change was recorded for 13 years in Almeria (Spain). Through Species-Area Relationships (SARs), these plots\u2019 floristic changes were monitored and compared to others in which an active restoration was carried out, as well as others with natural vegetation. Furthermore, the successional pattern found was compared to those recorded in 28 quarries distributed throughout the Spanish territory. The results show that an ecological pattern of spontaneous primary auto-succession is widely recurring in Iberian gypsum quarries, which is capable of regenerating the pre-existing natural vegetation.</p></article>", "keywords": ["QK1-989", "Botany", "gypsum mining", "permanent plots", "passive restoration", "15. Life on land", "Species-Area Relationships (SAR)", "gypsophil", "successional chronosequence", "Article"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/12/5/1162/pdf"}, {"href": "https://www.mdpi.com/2223-7747/12/5/1162/pdf"}, {"href": "https://doi.org/10.3390/plants12051162"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants12051162", "name": "item", "description": "10.3390/plants12051162", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants12051162"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-03T00:00:00Z"}}, {"id": "10.1128/aem.02218-17", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:11Z", "type": "Journal Article", "created": "2017-11-27", "title": "Impact of Peat Mining and Restoration on Methane Turnover Potential and Methane-Cycling Microorganisms in a Northern Bog", "description": "ABSTRACT           <p>             Ombrotrophic peatlands are a recognized global carbon reservoir. Without restoration and peat regrowth, harvested peatlands are dramatically altered, impairing their carbon sink function, with consequences for methane turnover. Previous studies determined the impact of commercial mining on the physicochemical properties of peat and the effects on methane turnover. However, the response of the underlying microbial communities catalyzing methane production and oxidation have so far received little attention. We hypothesize that with the return of             Sphagnum             spp. postharvest, methane turnover potential and the corresponding microbial communities will converge in a natural and restored peatland. To address our hypothesis, we determined the potential methane production and oxidation rates in natural (as a reference), actively mined, abandoned, and restored peatlands over two consecutive years. In all sites, the methanogenic and methanotrophic population sizes were enumerated using quantitative PCR (qPCR) assays targeting the             mcrA             and             pmoA             genes, respectively. Shifts in the community composition were determined using Illumina MiSeq sequencing of the             mcrA             gene and a             pmoA             -based terminal restriction fragment length polymorphism (t-RFLP) analysis, complemented by cloning and sequence analysis of the             mmoX             gene. Peat mining adversely affected methane turnover potential, but the rates recovered in the restored site. The recovery in potential activity was reflected in the methanogenic and methanotrophic abundances. However, the microbial community composition was altered, being more pronounced for the methanotrophs. Overall, we observed a lag between the recovery of the methanogenic/methanotrophic activity and the return of the corresponding microbial communities, suggesting that a longer duration (&gt;15 years) is needed to reverse mining-induced effects on the methane-cycling microbial communities.           </p>           <p>             IMPORTANCE             Ombrotrophic peatlands are a crucial carbon sink, but this environment is also a source of methane, an important greenhouse gas. Methane emission in peatlands is regulated by methane production and oxidation catalyzed by methanogens and methanotrophs, respectively. Methane-cycling microbial communities have been documented in natural peatlands. However, less is known of their response to peat mining and of the recovery of the community after restoration. Mining exerts an adverse impact on potential methane production and oxidation rates and on methanogenic and methanotrophic population abundances. Peat mining also induced a shift in the methane-cycling microbial community composition. Nevertheless, with the return of             Sphagnum             spp. in the restored site after 15 years, methanogenic and methanotrophic activity and population abundance recovered well. The recovery, however, was not fully reflected in the community composition, suggesting that &gt;15 years are needed to reverse mining-induced effects.           </p>", "keywords": ["0301 basic medicine", "570", "oxidation", "hiili", "ta1172", "Euryarchaeota", "630", "Mining", "Soil", "03 medical and health sciences", "Sphagnum", "Bacterial Proteins", "Nitrogen Fixation", "Sphagnopsida", "14. Life underwater", "ennallistaminen", "turvemaat", "Ecosystem", "Phylogeny", "Soil Microbiology", "0303 health sciences", "nifH", "methane", "Microbiota", "ta1182", "land use", "methanogenesis", "15. Life on land", "Carbon", "kasvihuonekaasup\u00e4\u00e4st\u00f6t", "nitrogen fixation", "13. Climate action", "international", "Wetlands", "Oxygenases", "ta1181", "Methane", "Oxidation-Reduction"]}, "links": [{"href": "https://journals.asm.org/doi/pdf/10.1128/AEM.02218-17"}, {"href": "https://doi.org/10.1128/aem.02218-17"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20and%20Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/aem.02218-17", "name": "item", "description": "10.1128/aem.02218-17", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/aem.02218-17"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1890/07-1117.1", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-07-25T16:20:01Z", "type": "Journal Article", "created": "2008-02-21", "title": "Forest To Reclaimed Mine Land Use Change Leads To Altered Ecosystem Structure And Function", "description": "The United States' use of coal results in many environmental alterations. In the Appalachian coal belt region, one widespread alteration is conversion of forest to reclaimed mineland. The goal of this study was to quantify the changes to ecosystem structure and function associated with a conversion from forest to reclaimed mine grassland by comparing a small watershed containing a 15-year-old reclaimed mine with a forested, reference watershed in western Maryland. Major differences were apparent between the two watersheds in terms of biogeochemistry. Total C, N, and P pools were all substantially lower at the mined site, mainly due to the removal of woody biomass but also, in the case of P, to reductions in soil pools. Mineral soil C, N, and P pools were 96%, 79%, and 69% of native soils, respectively. Although annual runoff from the watersheds was similar, the mined watershed exhibited taller, narrower storm peaks as a result of a higher soil bulk density and decreased infiltration rates. Stream export of N was much lower in the mined watershed due to lower net nitrification rates and nitrate concentrations in soil. However, stream export of sediment and P and summer stream temperature were much higher. Stream leaf decomposition was reduced and macroinvertebrate community structure was altered as a result of these changes to the stream environment. This land use change leads to substantial, long-term changes in ecosystem capital and function.", "keywords": ["Soil", "Nitrogen", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "Ecosystem", "Mining", "6. Clean water", "Trees"]}, "links": [{"href": "https://doi.org/10.1890/07-1117.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/07-1117.1", "name": "item", "description": "10.1890/07-1117.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/07-1117.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.31428/10317/11116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:43Z", "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": "10.3389/fenvs.2019.00058", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:46Z", "type": "Journal Article", "created": "2019-05-17", "title": "Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France", "description": "Agricultural soils provide society with several functions, one of which is primary productivity. This function is defined as the capacity of a soil to supply nutrients and water and to produce plant biomass for human use, providing food, feed, fiber, and fuel. For farmers, the productivity function delivers an economic basis and is a prerequisite for agricultural sustainability. Our study was designed to develop an agricultural primary productivity decision support model. To obtain a highly accurate decision support model that helps farmers and advisors to assess and manage the provision of the primary productivity soil function on their agricultural fields, we addressed the following specific objectives: (i) to construct a qualitative decision support model to assess the primary productivity soil function at the agricultural field level; (ii) to carry out verification, calibration, and sensitivity analysis of this model; and (iii) to validate the model based on empirical data. The result is a hierarchical qualitative model consisting of 25 input attributes describing soil properties, environmental conditions, cropping specifications, and management practices on each respective field. An extensive dataset from France containing data from 399 sites was used to calibrate and validate the model. The large amount of data enabled data mining to support model calibration. The accuracy of the decision support model prior to calibration supported by data mining was similar to 40%. The data mining approach improved the accuracy to 77%. The proposed methodology of combining decision modeling and data mining proved to be an important step forward. This iterative approach yielded an accurate, reliable, and useful decision support model for the assessment of the primary productivity soil function at the field level. This can assist farmers and advisors in selecting the most appropriate crop management practices. Embedding this decision support model in a set of complementary models for four adjacent soil functions, as endeavored in the H2020 LANDMARK project, will help take the integrated sustainability of arable cropping systems to a new level.", "keywords": ["2. Zero hunger", "agricultural decision-making", "006", "data mining", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SHS.ECO]Humanities and Social Sciences/Economics and Finance", "yield", "12. Responsible consumption", "Environmental sciences", "expert knowledge", "decision support model", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2019.00058"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2019.00058", "name": "item", "description": "10.3389/fenvs.2019.00058", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2019.00058"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-17T00:00:00Z"}}, {"id": "10.3390/genes10080601", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:59Z", "type": "Journal Article", "created": "2019-08-09", "title": "Genetic Potential of the Biocontrol Agent Pseudomonas brassicacearum (Formerly P. trivialis) 3Re2-7 Unraveled by Genome Sequencing and Mining, Comparative Genomics and Transcriptomics", "description": "<p>The genus Pseudomonas comprises many known plant-associated microbes with plant growth promotion and disease suppression properties. Genome-based studies allow the prediction of the underlying mechanisms using genome mining tools and the analysis of the genes unique for a strain by implementing comparative genomics. Here, we provide the genome sequence of the strain Pseudomonas brassicacearum 3Re2-7, formerly known as P. trivialis and P. reactans, elucidate its revised taxonomic classification, experimentally verify the gene predictions by transcriptome sequencing, describe its genetic biocontrol potential and contextualize it to other known Pseudomonas biocontrol agents. The P. brassicacearum 3Re2-7 genome comprises a circular chromosome with a size of 6,738,544 bp and a GC-content of 60.83%. 6267 genes were annotated, of which 6113 were shown to be transcribed in rich medium and/or in the presence of Rhizoctonia solani. Genome mining identified genes related to biocontrol traits such as secondary metabolite and siderophore biosynthesis, plant growth promotion, inorganic phosphate solubilization, biosynthesis of lipo- and exopolysaccharides, exoproteases, volatiles and detoxification. Core genome analysis revealed, that the 3Re2-7 genome exhibits a high collinearity with the representative genome for the species, P. brassicacearum subsp. brassicacearum NFM421. Comparative genomics allowed the identification of 105 specific genes and revealed gene clusters that might encode specialized biocontrol mechanisms of strain 3Re2-7. Moreover, we captured the transcriptome of P. brassicacearum 3Re2-7, confirming the transcription of the predicted biocontrol-related genes. The gene clusters coding for 2,4-diacetylphloroglucinol (phlABCDEFGH) and hydrogen cyanide (hcnABC) were shown to be highly transcribed. Further genes predicted to encode putative alginate production enzymes, a pyrroloquinoline quinone precursor peptide PqqA and a matrixin family metalloprotease were also found to be highly transcribed. With this study, we provide a basis to further characterize the mechanisms for biocontrol in Pseudomonas species, towards a sustainable and safe application of P. brassicacearum biocontrol agents.</p>", "keywords": ["COMPARATIVE GENOMICS", "0301 basic medicine", "570", "Antifungal Agents", "Plant-growth promotion", "Biolog\u00eda", "comparative genomics", "Phloroglucinol", "PLANT-GROWTH PROMOTION", "Article", "Rhizoctonia", "transcriptomics", "03 medical and health sciences", "https://purl.org/becyt/ford/1.6", "Genome mining", "Hydrogen Cyanide", "Pseudomonas", "genome mining", "RNA SEQUENCING", "TRANSCRIPTOMICS", "biocontrol", "GENOME MINING", "PSEUDOMONASBRASSICACEARUM", "https://purl.org/becyt/ford/1", "Transcriptomics", "0303 health sciences", "Comparative genomics", "Biocontrol", "RNA sequencing", "<i>Pseudomonas brassicacearum</i>", "BIOCONTROL", "Pseudomonas brassicacearum", "Biological Control Agents", "Genes", " Bacterial", "Transcriptome", "plant-growth promotion"]}, "links": [{"href": "http://www.mdpi.com/2073-4425/10/8/601/pdf"}, {"href": "https://www.mdpi.com/2073-4425/10/8/601/pdf"}, {"href": "https://doi.org/10.3390/genes10080601"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Genes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/genes10080601", "name": "item", "description": "10.3390/genes10080601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/genes10080601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-09T00:00:00Z"}}, {"id": "10.3390/microorganisms8010013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:03Z", "type": "Journal Article", "created": "2019-12-20", "title": "Genome Analyses and Genome-Centered Metatranscriptomics of Methanothermobacter wolfeii Strain SIV6, Isolated from a Thermophilic Production-Scale Biogas Fermenter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the thermophilic biogas-producing microbial community, the genus Methanothermobacter was previously described to be frequently abundant. The aim of this study was to establish and analyze the genome sequence of the archaeal strain Methanothermobacter wolfeii SIV6 originating from a thermophilic industrial-scale biogas fermenter and compare it to related reference genomes. The circular chromosome has a size of 1,686,891 bases, featuring a GC content of 48.89%. Comparative analyses considering three completely sequenced Methanothermobacter strains revealed a core genome of 1494 coding sequences and 16 strain specific genes for M. wolfeii SIV6, which include glycosyltransferases and CRISPR/cas associated genes. Moreover, M. wolfeii SIV6 harbors all genes for the hydrogenotrophic methanogenesis pathway and genome-centered metatranscriptomics indicates the high metabolic activity of this strain, with 25.18% of all transcripts per million (TPM) belong to the hydrogenotrophic methanogenesis pathway and 18.02% of these TPM exclusively belonging to the mcr operon. This operon encodes the different subunits of the enzyme methyl-coenzyme M reductase (EC: 2.8.4.1), which catalyzes the final and rate-limiting step during methanogenesis. Finally, fragment recruitment of metagenomic reads from the thermophilic biogas fermenter on the SIV6 genome showed that the strain is abundant (1.2%) within the indigenous microbial community. Detailed analysis of the archaeal isolate M. wolfeii SIV6 indicates its role and function within the microbial community of the thermophilic biogas fermenter, towards a better understanding of the biogas production process and a microbial-based management of this complex process.</p></article>", "keywords": ["2. Zero hunger", "0301 basic medicine", "570", "Methanothermobacter wolfeii", "metagenomics", "0303 health sciences", "metatranscriptomics", "thermophilic biogas fermenter", "comparative analyses", "Methanothermobacter wolfeii; thermophilic biogas fermenter; genome mining; comparative analyses; CRISPR/cas; metabolic pathway reconstruction; metagenomics; fragment recruitment; metatranscriptomics", "CRISPR/<i>cas</i>", "metabolic pathway reconstruction", "7. Clean energy", "Article", "03 medical and health sciences", "CRISPR/cas", "genome mining", "8. Economic growth", "<i>Methanothermobacter wolfeii</i>", "fragment recruitment"]}, "links": [{"href": "http://www.mdpi.com/2076-2607/8/1/13/pdf"}, {"href": "https://www.mdpi.com/2076-2607/8/1/13/pdf"}, {"href": "https://doi.org/10.3390/microorganisms8010013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/microorganisms8010013", "name": "item", "description": "10.3390/microorganisms8010013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/microorganisms8010013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-20T00:00:00Z"}}, {"id": "10773/25427", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:54Z", "type": "Journal Article", "created": "2018-01-07", "title": "Toxicokinetics of Zn and Cd in the earthworm Eisenia andrei exposed to metal-contaminated soils under different combinations of air temperature and soil moisture content", "description": "This study evaluated how different combinations of air temperature (20\u202f\u00b0C and 25\u202f\u00b0C) and soil moisture content (50% and 30% of the soil water holding capacity, WHC), reflecting realistic climate change scenarios, affect the bioaccumulation kinetics of Zn and Cd in the earthworm Eisenia andrei. Earthworms were exposed for 21\u202fd to two metal-contaminated soils (uptake phase), followed by 21\u202fd incubation in non-contaminated soil (elimination phase). Body Zn and Cd concentrations were checked in time and metal uptake (k1) and elimination (k2) rate constants determined; metal bioaccumulation factor (BAF) was calculated as k1/k2. Earthworms showed extremely fast uptake and elimination of Zn, regardless of the exposure level. Climate conditions had no major impacts on the bioaccumulation kinetics of Zn, although a tendency towards lower k1 and k2 values was observed at 25\u00a0\u00b0C\u00a0+\u00a030% WHC. Earthworm Cd concentrations gradually increased with time upon exposure to metal-contaminated soils, especially at 50% WHC, and remained constant or slowly decreased following transfer to non-contaminated soil. Different combinations of air temperature and soil moisture content changed the bioaccumulation kinetics of Cd, leading to higher k1 and k2 values for earthworms incubated at 25\u00a0\u00b0C\u00a0+\u00a050% WHC and slower Cd kinetics at 25\u00a0\u00b0C\u00a0+\u00a030% WHC. This resulted in greater BAFs for Cd at warmer and drier environments which could imply higher toxicity risks but also of transfer of Cd within the food chain under the current global warming perspective.", "keywords": ["Soil invertebrates", "Bioavailability", "Climate Change", "0211 other engineering and technologies", "02 engineering and technology", "Global Warming", "01 natural sciences", "Soil", "Metals", " Heavy", "SDG 13 - Climate Action", "Climate change", "Animals", "Soil Pollutants", "Oligochaeta", "0105 earth and related environmental sciences", "2. Zero hunger", "Triazines", "Temperature", "Water", "Bioaccumulation", "Mining wastes", "Toxicokinetics", "Zinc", "Heavy metals", "Metals", "13. Climate action", "Environmental Pollution", "Cadmium"]}, "links": [{"href": "https://doi.org/10773/25427"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10773/25427", "name": "item", "description": "10773/25427", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10773/25427"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "10.5194/bg-19-3505-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:43Z", "type": "Journal Article", "created": "2022-07-28", "title": "Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In the age of big data, soil data are more available and richer than ever, but \u2013 outside of a few large soil survey resources \u2013 they remain largely unusable for informing soil management and understanding Earth system processes beyond the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for new insight. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data, and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: availability, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century.                     </p></article>", "keywords": ["FOS: Computer and information sciences", "0301 basic medicine", "Data Sharing", "Information Systems and Management", "literature review", "1904 Earth-Surface Processes", "Social Sciences", "data set", "01 natural sciences", "Decision Sciences", "Data science", "Life", "QH501-531", "910 Geography & travel", "soil analysis", "database", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "000", "Ecology", "communication", "Physics", "Earth", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "World Wide Web", "10122 Institute of Geography", "soil survey", "Physical Sciences", "Data Reuse", "environment", "Information Systems", "Evolution", "future prospect", "Data management", "Data Sharing and Stewardship in Science", "Database", "Big data", "03 medical and health sciences", "Behavior and Systematics", "Data mining", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Management and Reproducibility of Scientific Workflows", "Metadata", "Data curation", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Acoustics", "15. Life on land", "Computer science", "1105 Ecology", " Evolution", " Behavior and Systematics", "Surface Processes", "Harmonization", "FOS: Biological sciences", "Computer Science", "Environmental Science", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil management", "Research Data", "Environmental DNA in Biodiversity Monitoring"]}, "links": [{"href": "https://doi.org/10.5194/bg-19-3505-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-19-3505-2022", "name": "item", "description": "10.5194/bg-19-3505-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-3505-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-28T00:00:00Z"}}, {"id": "10.5194/bg-2021-323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:44Z", "type": "Report", "created": "2021-12-15", "title": "Reviews and syntheses: The promise of big soil data, moving current practices towards future potential", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In the age of big data, soil data are more available than ever, but -outside of a few large soil survey resources- remain largely unusable for informing soil management and understanding Earth system processes outside of the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for global relevance. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: data discovery, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century.                         </p></article>", "keywords": ["FOS: Computer and information sciences", "Data Sharing", "Biomedical Ontologies and Text Mining", "Data management", "Leverage (statistics)", "01 natural sciences", "Data science", "Data Sharing and Stewardship in Science", "Database", "Big data", "Biochemistry", " Genetics and Molecular Biology", "Machine learning", "Molecular Biology", "Data mining", "0105 earth and related environmental sciences", "2. Zero hunger", "Metadata", "Ecology", "Data curation", "Physics", "Life Sciences", "Acoustics", "15. Life on land", "Computer science", "World Wide Web", "Harmonization", "13. Climate action", "FOS: Biological sciences", "Computer Science", "Physical Sciences", "Environmental Science", "Data Reuse", "Environmental DNA in Biodiversity Monitoring", "Information Systems"]}, "links": [{"href": "https://doi.org/10.5194/bg-2021-323"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-2021-323", "name": "item", "description": "10.5194/bg-2021-323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-2021-323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-15T00:00:00Z"}}, {"id": "10.5281/zenodo.14092313", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:35Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14092313"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14092313", "name": "item", "description": "10.5281/zenodo.14092313", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14092313"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14104497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:35Z", "type": "Dataset", "title": "D4.3_Probefield_Dataset", "description": "Open AccessOrigin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR).\u00a0  The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO\u2083), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350\u20132500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling", "keywords": ["Soil sciences", "EJP SOIL", "Probefield", "Data mining", "Spectroscopy"], "contacts": [{"organization": "Barbetti, Roberto", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14104497"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14104497", "name": "item", "description": "10.5281/zenodo.14104497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14104497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-12T00:00:00Z"}}, {"id": "2946389500", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:03Z", "type": "Journal Article", "created": "2019-05-17", "title": "Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France", "description": "Agricultural soils provide society with several functions, one of which is primary productivity. This function is defined as the capacity of a soil to supply nutrients and water and to produce plant biomass for human use, providing food, feed, fiber, and fuel. For farmers, the productivity function delivers an economic basis and is a prerequisite for agricultural sustainability. Our study was designed to develop an agricultural primary productivity decision support model. To obtain a highly accurate decision support model that helps farmers and advisors to assess and manage the provision of the primary productivity soil function on their agricultural fields, we addressed the following specific objectives: (i) to construct a qualitative decision support model to assess the primary productivity soil function at the agricultural field level; (ii) to carry out verification, calibration, and sensitivity analysis of this model; and (iii) to validate the model based on empirical data. The result is a hierarchical qualitative model consisting of 25 input attributes describing soil properties, environmental conditions, cropping specifications, and management practices on each respective field. An extensive dataset from France containing data from 399 sites was used to calibrate and validate the model. The large amount of data enabled data mining to support model calibration. The accuracy of the decision support model prior to calibration supported by data mining was similar to 40%. The data mining approach improved the accuracy to 77%. The proposed methodology of combining decision modeling and data mining proved to be an important step forward. This iterative approach yielded an accurate, reliable, and useful decision support model for the assessment of the primary productivity soil function at the field level. This can assist farmers and advisors in selecting the most appropriate crop management practices. Embedding this decision support model in a set of complementary models for four adjacent soil functions, as endeavored in the H2020 LANDMARK project, will help take the integrated sustainability of arable cropping systems to a new level.", "keywords": ["2. Zero hunger", "agricultural decision-making", "006", "data mining", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SHS.ECO]Humanities and Social Sciences/Economics and Finance", "yield", "12. Responsible consumption", "Environmental sciences", "expert knowledge", "decision support model", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"]}, "links": [{"href": "https://doi.org/2946389500"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2946389500", "name": "item", "description": "2946389500", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2946389500"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-17T00:00:00Z"}}, {"id": "2995045825", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:07Z", "type": "Journal Article", "created": "2019-12-20", "title": "Genome Analyses and Genome-Centered Metatranscriptomics of Methanothermobacter wolfeii Strain SIV6, Isolated from a Thermophilic Production-Scale Biogas Fermenter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the thermophilic biogas-producing microbial community, the genus Methanothermobacter was previously described to be frequently abundant. The aim of this study was to establish and analyze the genome sequence of the archaeal strain Methanothermobacter wolfeii SIV6 originating from a thermophilic industrial-scale biogas fermenter and compare it to related reference genomes. The circular chromosome has a size of 1,686,891 bases, featuring a GC content of 48.89%. Comparative analyses considering three completely sequenced Methanothermobacter strains revealed a core genome of 1494 coding sequences and 16 strain specific genes for M. wolfeii SIV6, which include glycosyltransferases and CRISPR/cas associated genes. Moreover, M. wolfeii SIV6 harbors all genes for the hydrogenotrophic methanogenesis pathway and genome-centered metatranscriptomics indicates the high metabolic activity of this strain, with 25.18% of all transcripts per million (TPM) belong to the hydrogenotrophic methanogenesis pathway and 18.02% of these TPM exclusively belonging to the mcr operon. This operon encodes the different subunits of the enzyme methyl-coenzyme M reductase (EC: 2.8.4.1), which catalyzes the final and rate-limiting step during methanogenesis. Finally, fragment recruitment of metagenomic reads from the thermophilic biogas fermenter on the SIV6 genome showed that the strain is abundant (1.2%) within the indigenous microbial community. Detailed analysis of the archaeal isolate M. wolfeii SIV6 indicates its role and function within the microbial community of the thermophilic biogas fermenter, towards a better understanding of the biogas production process and a microbial-based management of this complex process.</p></article>", "keywords": ["0301 basic medicine", "2. Zero hunger", "570", "Methanothermobacter wolfeii", "metagenomics", "0303 health sciences", "metatranscriptomics", "thermophilic biogas fermenter", "comparative analyses", "Methanothermobacter wolfeii; thermophilic biogas fermenter; genome mining; comparative analyses; CRISPR/cas; metabolic pathway reconstruction; metagenomics; fragment recruitment; metatranscriptomics", "CRISPR/<i>cas</i>", "metabolic pathway reconstruction", "7. Clean energy", "Article", "03 medical and health sciences", "CRISPR/cas", "genome mining", "8. Economic growth", "<i>Methanothermobacter wolfeii</i>", "fragment recruitment"]}, "links": [{"href": "http://www.mdpi.com/2076-2607/8/1/13/pdf"}, {"href": "https://www.mdpi.com/2076-2607/8/1/13/pdf"}, {"href": "https://doi.org/2995045825"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2995045825", "name": "item", "description": "2995045825", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2995045825"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-20T00:00:00Z"}}, {"id": "10.5281/zenodo.17523269", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-25T16:23:18Z", "type": "Dataset", "created": "2025-11-04", "title": "Environmental dataset from a restored mine slope in Northern Spain: comparative analysis of grassland, shrubland, and native oak forest", "description": "unspecifiedWhen using this data, please cite the original publications that generated the dataset:   L\u00f3pez-Marcos D, Turri\u00f3n MB, Garc\u00eda-Duro J, Mart\u00ednez-Ruiz C (2025) Soil thickness and porosity as indicators of the ecological restoration success: The case study of a reclaimed coal-mine slope in a Mediterranean area. Ecol Eng 222: 107783 https://doi.org/10.1016/j.ecoleng.2025.107783  L\u00f3pez-Marcos D, Turri\u00f3n MB, Mart\u00ednez-Ruiz C (2020) Linking soil variability with plant community composition along a mine-slope topographic gradient: Implications for restoration. Ambio 49: 337\u2013349. https://doi.org/10.1007/s13280-019-01193-y", "keywords": ["Postmining slope", "Plant cover", "Forest", "Grassland", "Shrubland", "Physicochemical soil parameters"], "contacts": [{"organization": "L\u00f3pez-Marcos, Daphne, Mart\u00ednez-Ruiz, Carolina, Turri\u00f3n, Mar\u00eda-Bel\u00e9n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17523269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17523269", "name": "item", "description": "10.5281/zenodo.17523269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17523269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-11-04T00:00:00Z"}}, {"id": "10.5281/zenodo.4408025", "type": "Feature", "geometry": null, "properties": {"license": "Open Source", "updated": "2026-07-25T16:23:27Z", "type": "Dataset", "title": "Replication Package: Assessing time-based and range-based strategies for commit assignment to releases", "description": "Open SourceVisit https://github.com/gems-uff/release-mining for instructions about how to use this dataset.", "keywords": ["commit assignment", "release comparison", "release", "release mining"], "contacts": [{"organization": "Pinto, Felipe Curty Do Rego, Costa, Bruno Carlos Da Cunha, Murta, Leonardo Gresta Paulino,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4408025"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4408025", "name": "item", "description": "10.5281/zenodo.4408025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4408025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-12T00:00:00Z"}}, {"id": "PMC9308969", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:28:14Z", "type": "Journal Article", "created": "2021-05-27", "title": "A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 \u2013 2019) based on LUCAS, CORINE and GLAD Landsat", "description": "<title>Abstract</title>                 <p>A seamless spatiotemporal machine learning framework for automated prediction, uncertainty assessment, and analysis of land use / land cover (LULC) dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal covariate datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land Cover-derived training samples, (2) model building based on spatial k-fold cross-validation and hyper-parameter optimization, (3) prediction of the most probable class, class probabilities and uncertainty per pixel, (4) LULC change analysis on time-series of produced maps. The spatiotemporal ensemble model was fitted by combining random forest, gradient boosted trees, and artificial neural network, with logistic regressor as meta-learner. The results show that the most important covariates for mapping LULC in Europe are: seasonal aggregates of Landsat green and near-infrared bands, multiple Landsat-derived spectral indices, and elevation. Spatial cross-validation of the model indicates consistent performance across multiple years with 62%, 70%, and 87% accuracy when predicting 33 (level-3), 14 (level-2), and 5 classes (level-1); with artificial surface classes such as 'airports' and 'railroads' showing the lowest match with validation points. The spatiotemporal model outperforms spatial models on known-year classification by 2.7% and unknown-year classification by 3.5%. Results of the accuracy assessment using 48,365 independent test samples shows 87% match with the validation points. Results of time-series analysis (time-series of LULC probabilities and NDVI images) suggest gradual deforestation trends in large parts of Sweden, the Alps, and Scotland. An advantage of using spatiotemporal ML is that the fitted model can be used to predict LULC in years that were not included in its training dataset, allowing generalization to past and future periods, e.g. to predict land cover for years prior to 2000 and beyond 2020. The generated land cover time-series data stack (ODSE-LULC), including the training points, is publicly available via the Open Data Science (ODS)-Europe Viewer.</p>", "keywords": ["Time Factors", "Spatiotemporal", "QH301-705.5", "Data Mining and Machine Learning", "Urbanization", "Uncertainty", "Spatial analysis", "R", "Environmental monitoring", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Europe", "Big data", "Machine learning", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Biology (General)", "Landsat", "Ensemble", "Land use/land cover", "Environmental Monitoring", "Probability", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/PMC9308969"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC9308969", "name": "item", "description": "PMC9308969", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9308969"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-27T00:00:00Z"}}, {"id": "20.500.12123/13911", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:32Z", "type": "Journal Article", "created": "2022-08-26", "title": "Phytoextraction of Cu, Cd, Zn and As in four shrubs and trees growing on soil contaminated with mining waste", "description": "Mining activity has degraded large extensions of soil and its waste is composed of metals, anthropogenic chemicals, and sterile rocks. The use of native species in the recovery of polluted soils improves the conditions for the emergence of other species, tending to a process of ecosystem restoration. The objective of this study was to evaluate the bioaccumulation of metal(loid)s in four species of native plants and the effect of their distribution and bioavailability in soil with waste from an abandoned gold mine. Soil samples were taken from two sites in La Planta, San Juan, Argentina: Site 1 and Site 2 (mining waste and reference soil, respectively). In Site 1, vegetative organ samples were taken from Larrea cuneifolia, Bulnesia retama, Plectrocarpa tetracantha, and Prosopis flexuosa. The concentration of metal(loid)s in soil from Site 1 were Zn\u00a0>\u00a0As\u00a0>\u00a0Cu\u00a0>\u00a0Cd, reaching values of 7123, 6516, 240 and 76\u00a0mg\u00a0kg-1, respectively. The contamination indices were among the highest categories of contamination for all four metal(loid)s. The spatial interpolation analysis showed the effect of the vegetation as the lowest concentration of metal(loid)s were found in rhizospheric soil. The maximum concentrations of As, Cu, Cd and Zn found in vegetative organs were 371, 461, 28, and 1331\u00a0mg\u00a0kg-1, respectively. L. cuneifolia and B. retama presented high concentrations of Cu and Zn. The most concentrated metal(loid)s in P. tetracantha and P. flexuosa were Zn, As and Cu. Cd was the least concentrated metal in all four species. The values of BAF and TF were greater than one for all four species. In conclusion, the different phytoextraction capacities and the adaptations to arid environments of these four species are an advantage for future phytoremediation strategies. Their application contributes to the ecological restoration and risk reduction, allowing the recovery of ecosystem services.", "keywords": ["Biodisponibilidad", "Bioavailability", "BIOAVAILABILITY", "01 natural sciences", "Mining", "Trees", "Bioacumulaci\u00f3n", "SOIL POLLUTION", "Soil", "https://purl.org/becyt/ford/1.5", "Metals", " Heavy", "Poluci\u00f3n del Suelo", "Metales", "Soil Pollutants", "https://purl.org/becyt/ford/1", "Ecosystem", "0105 earth and related environmental sciences", "2. Zero hunger", "ABANDONED MINE", "PHYTOREMEDIATION", "BIOACCUMULATION", "15. Life on land", "Bioaccumulation", "6. Clean water", "Phytoremediation", "Zinc", "Biodegradation", " Environmental", "Metals", "13. Climate action", "METAL", "Miner\u00eda", "Fitodecontaminaci\u00f3n", "Gold", "Soil Pollution", "Cadmium", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/20.500.12123/13911"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12123/13911", "name": "item", "description": "20.500.12123/13911", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12123/13911"}, {"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": "10261/335522", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:42Z", "type": "Journal Article", "created": "2023-05-26", "title": "Past, present and future trends in the remediation of heavy-metal contaminated soil - Remediation techniques applied in real soil-contamination events", "description": "Most worldwide policy frameworks, including the United Nations Sustainable Development Goals, highlight soil as a key non-renewable natural resource which should be rigorously preserved to achieve long-term global sustainability. Although some soil is naturally enriched with heavy metals (HMs), a series of anthropogenic activities are known to contribute to their redistribution, which may entail potentially harmful environmental and/or human health effects if certain concentrations are exceeded. If this occurs, the implementation of rehabilitation strategies is highly recommended. Although there are many publications dealing with the elimination of HMs using different methodologies, most of those works have been done in laboratories and there are not many comprehensive reviews about the results obtained under field conditions. Throughout this review, we examine the different methodologies that have been used in real scenarios and, based on representative case studies, we present the evolution and outcomes of the remediation strategies applied in real soil-contamination events where legacies of past metal mining activities or mine spills have posed a serious threat for soil conservation. So far, the best efficiencies at field-scale have been reported when using combined strategies such as physical containment and assisted-phytoremediation. We have also introduced the emerging problem of the heavy metal contamination of agricultural soils and the different strategies implemented to tackle this problem. Although remediation techniques used in real scenarios have not changed much in the last decades, there are also encouraging facts for the advances in this field. Thus, a growing number of mining companies publicise in their webpages their soil remediation strategies and efforts; moreover, the number of scientific publications about innovative highly-efficient and environmental-friendly methods is also increasing. In any case, better cooperation between scientists and other soil-related stakeholders is still required to improve remediation performance.", "keywords": ["2. Zero hunger", "H1-99", "(Bio)mining", "Science (General)", "Spills", "Remediation", "Review Article", "15. Life on land", "6. Clean water", "(bio)mining", "12. Responsible consumption", "3. Good health", "Social sciences (General)", "Q1-390", "Soil", "Sustainability", "13. Climate action", "11. Sustainability", "Heavy-metal"]}, "links": [{"href": "https://doi.org/10261/335522"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Heliyon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/335522", "name": "item", "description": "10261/335522", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/335522"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10317/11116", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:47Z", "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": "104055d9-597c-4ef0-a7f6-a6ec3484297d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.92, 50.05], [5.92, 51.91], [8.24, 51.91], [8.24, 50.05], [5.92, 50.05]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Inplamint's research activities.\" Although every care has been taken in preparing and testing the data, the Inplamint and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Inplamint and the 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 Inplamint and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-15", "type": "Service", "created": "2021-05-28", "language": "eng", "title": "Web  Map Service of the dataset 'INPLAMINT.Soil_microbial_stoichiometry_Chronosequence_Inden_2019'", "description": "This Web Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'INPLAMINT.Soil_microbial_stoichiometry_Chronosequence_Inden_2019''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "total organic carbon", "total nitrogen", "soil respiration", "loess", "reclamation", "reclaimed soils", "mining", "agricultural soils", "grassland soils"], "contacts": [{"name": "Jessica Clayton", "organization": "University of Cologne", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "j.clayton@uni-koeln.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Prof Michael Bonkowski", "organization": "University of Cologne", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "m.bonkowski@uni-koeln.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-2656-1183", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Cologne", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "total organic carbon"}, {"id": "total nitrogen"}, {"id": "soil respiration"}, {"id": "loess"}, {"id": "reclamation"}, {"id": "reclaimed soils"}, {"id": "mining"}, {"id": "agricultural soils"}, {"id": "grassland soils"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=104055d9-597c-4ef0-a7f6-a6ec3484297d", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Inplamint/ID_3001_Inden_NRW_Germany_Geoplot/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "104055d9-597c-4ef0-a7f6-a6ec3484297d", "name": "item", "description": "104055d9-597c-4ef0-a7f6-a6ec3484297d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/104055d9-597c-4ef0-a7f6-a6ec3484297d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-15T00:00:00Z"}}, {"id": "10481/81450", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:51Z", "type": "Report", "title": "Spontaneous Primary Succession and Vascular Plant Recovery in the Iberian Gypsum Quarries: Insights for Ecological Restoration in an EU Priority Habitat", "description": "Atribuci\u00f3n 4.0 InternacionalGypsum covers a vast area of the Iberian Peninsula, making Spain a leader in its production. Gypsum is a fundamental raw material for modern societies. However, gypsum quarries have an obvious impact on the landscape and biodiversity. Gypsum outcrops host a high percentage of endemic plants and unique vegetation, considered a priority by the EU. Restoring gypsum areas after mining is a key strategy to prevent biodiversity loss. For the implementation of restoration approaches, understanding vegetation\u2019s successional processes can be of invaluable help. To fully document the spontaneous succession in gypsum quarries and to evaluate its interest for restoration, 10 permanent plots of 20 \u00d7 50 m were proposed, with nested subplots, in which vegetation change was recorded for 13 years in Almeria (Spain). Through Species-Area Relationships (SARs), these plots\u2019 floristic changes were monitored and compared to others in which an active restoration was carried out, as well as others with natural vegetation. Furthermore, the successional pattern found was compared to those recorded in 28 quarries distributed throughout the Spanish territory. The results show that an ecological pattern of spontaneous primary auto-succession is widely recurring in Iberian gypsum quarries, which is capable of regenerating the pre-existing natural vegetation.", "keywords": ["2. Zero hunger", "Passive restoration", "Permanent plots", "Gypsum mining", "Successional chronosequence", "15. Life on land", "Species-Area Relationships (SAR)", "Gypsophile", "12. Responsible consumption"], "contacts": [{"organization": "Mota, Juan Francisco, Mendoza Fern\u00e1ndez, Antonio Jes\u00fas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10481/81450"}, {"rel": "self", "type": "application/geo+json", "title": "10481/81450", "name": "item", "description": "10481/81450", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10481/81450"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-11T00:00:00Z"}}, {"id": "10773/25425", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:54Z", "type": "Journal Article", "created": "2019-02-01", "title": "Soil moisture influences the avoidance behavior of invertebrate species in anthropogenic metal(loid)-contaminated soils", "description": "Water availability is paramount in the response of soil invertebrates towards stress situations. This study aimed to evaluate the effects of forecasted soil moisture scenarios on the avoidance behavior of two invertebrate species (the arthropod Folsomia candida and the soft-bodied oligochaete Enchytraeus crypticus) in soils degraded by different types of anthropogenic metal(loid) contamination (mining soil and agricultural soil affected by industrial chemical wastes). Different soil moisture contents (expressed as % of the soil water holding capacity, WHC) were evaluated: 50% (standard soil moisture conditions for soil invertebrates' tests); 75% (to simulate increasing soil water availability after intense rainfalls and/or floods); 40%, 30%, 25% and 20% (to simulate decreasing soil water availability during droughts). Invertebrates' avoidance behavior and changes in soil porewater major ions and metal(loid)s were assessed after 48\u202fh exposure. Soil incubations induced a general solubilization/mobilization of porewater major ions, while higher soil acidity favored the solubilization/mobilization of porewater metal(loid)s, especially at 75% WHC. Folsomia candida preferred soils moistened at 50% WHC, regardless the soils were contaminated or not and the changing soil porewater characteristics. Enchytraeus crypticus avoided metal(loid) contamination, but this depended on the soil moisture conditions and the corresponding changes in porewater characteristics: enchytraeids lost their capacity to avoid contaminated soils under water stress situations (75% and 20-25% WHC), but also when contaminated soils had greater water availability than control soils. Therefore, forecasted soil moisture scenarios induced by global warming changed soil porewater composition and invertebrates capacity to avoid metal(loid)-contaminated soils.", "keywords": ["2. Zero hunger", "Global warming", "Water", "Metal(loid) availability", "Enchytraeus crypticus", "Agriculture", "15. Life on land", "Global Warming", "01 natural sciences", "Mining", "6. Clean water", "Folsomia candida", "Soil", "Metals", "13. Climate action", "Avoidance Learning", "Animals", "Soil Pollutants", "Oligochaeta", "Multiple stressors", "Environmental Pollution", "Arthropods", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10773/25425"}, {"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": "10773/25425", "name": "item", "description": "10773/25425", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10773/25425"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-01T00:00:00Z"}}, {"id": "10835/14411", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:54Z", "type": "Journal Article", "created": "2023-03-06", "title": "Spontaneous Primary Succession and Vascular Plant Recovery in the Iberian Gypsum Quarries: Insights for Ecological Restoration in an EU Priority Habitat", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Gypsum covers a vast area of the Iberian Peninsula, making Spain a leader in its production. Gypsum is a fundamental raw material for modern societies. However, gypsum quarries have an obvious impact on the landscape and biodiversity. Gypsum outcrops host a high percentage of endemic plants and unique vegetation, considered a priority by the EU. Restoring gypsum areas after mining is a key strategy to prevent biodiversity loss. For the implementation of restoration approaches, understanding vegetation\u2019s successional processes can be of invaluable help. To fully document the spontaneous succession in gypsum quarries and to evaluate its interest for restoration, 10 permanent plots of 20 \u00d7 50 m were proposed, with nested subplots, in which vegetation change was recorded for 13 years in Almeria (Spain). Through Species-Area Relationships (SARs), these plots\u2019 floristic changes were monitored and compared to others in which an active restoration was carried out, as well as others with natural vegetation. Furthermore, the successional pattern found was compared to those recorded in 28 quarries distributed throughout the Spanish territory. The results show that an ecological pattern of spontaneous primary auto-succession is widely recurring in Iberian gypsum quarries, which is capable of regenerating the pre-existing natural vegetation.</p></article>", "keywords": ["2. Zero hunger", "Botany", "Passive restoration", "15. Life on land", "Species-Area Relationships (SAR)", "Article", "12. Responsible consumption", "QK1-989", "Permanent plots", "Gypsum mining", "gypsum mining", "Successional chronosequence", "permanent plots", "passive restoration", "gypsophil", "successional chronosequence", "Gypsophile"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/12/5/1162/pdf"}, {"href": "https://www.mdpi.com/2223-7747/12/5/1162/pdf"}, {"href": "https://doi.org/10835/14411"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10835/14411", "name": "item", "description": "10835/14411", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10835/14411"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-03T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Mining&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Mining&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Mining&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Mining&offset=50", "hreflang": "en-US"}], "numberMatched": 69, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-07-26T08:12:41.333616Z"}