{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2015.02.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:26Z", "type": "Journal Article", "created": "2015-02-14", "title": "Surface Organic Carbon Enrichment To Explain Greater Co2 Emissions From Short-Term No-Tilled Soils", "description": "The impact of agricultural practices on CO2 emissions from soils needs to be understood and quantified to enhance ecosystem functions, especially the ability of soils to sequester atmospheric carbon (C), while enhancing food and biomass production. The objective of this study was to assess CO2 emissions in the soil surface following tillage abandonment and to investigate some of the underlying soil physical, chemical and biological controls. Maize (Zea mays) was planted under conventional tillage (T) and no-tillage (NT), both without crop residues under smallholder farming conditions in Potshini, South Africa. Intact top-soil (0\u20130.05 m) core samples (N = 54) from three 5 \u00d7 15 m2 plots per treatment were collected two years after conversion of T to NT to evaluate the short-term CO2 emissions. Depending on the treatment, cores were left intact, compacted by 5 and 10 or had surface crusts removed. They were incubated for 20 days with measurements of CO2 fluxes twice a day during the first three days and once a day thereafter. Soil organic C (SOC) content, soil bulk density (\u03c1b), aggregate stability, soil organic matter quality, and microbial biomass and its activity were evaluated at the onset of the incubation. CO2 emissions were 22% lower under NT compared with T with CO2 emissions of 0.9 \u00b1 0.10 vs 1.1 \u00b1 0.10 mg C\u2013CO2 gC\u22121 day\u22121 under NT and T, respectively, suggesting greater SOC protection under NT. However, there were greater total CO2 emissions per unit of surface by 9% under NT compared to T (1.15 \u00b1 0.03 vs 1.05 \u00b1 0.04 g C\u2013CO2 m\u22122 day\u22121). SOC protection significantly increased with the increase in soil bulk density (r = 0.89) and aggregate stability (from 1.7 \u00b1 0.25 mm to 2.3 \u00b1 0.31, r = 0.50), and to the decrease in microbial biomass and its activity (r = \u22120.59 and \u22120.57, respectively). In contrast, the greater NT CO2 emissions per m2 were explained by top-soil enrichment in SOC by 48% (from 12.4 \u00b1 0.2 to 19.1 \u00b1 0.4 g kg\u22121, r = 0.59). These results on the soil controls of tillage impact on CO2 emissions are expected to inform on the required shifts in agricultural practices for enhancing C sequestration in soils. In the context of the study, any mechanism favoring aggregate stability and promoting SOC allocation deep in the soil profile rather than in the top-soil would greatly diminish soil CO2 outputs and thus stimulate C sequestration.", "keywords": ["550", "non travail du sol", "ma\u00efs", "No-tillage", "no-tillage", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Soil Science", "maize", "7. Clean energy", "630", "Sciences de la Terre", "dioxyde de carbone", "non labour", "Climate change", "propri\u00e9t\u00e9 du sol", "2. Zero hunger", "changement climatique", "carbon dioxide", "04 agricultural and veterinary sciences", "15. Life on land", "No-tillage;Carbon dioxide;Climate change;Maize;Small holders;Africa", "6. Clean water", "Maize", "climate change", "Small holders", "Carbon dioxide", "13. Climate action", "\u00e9mission d'azote", "Africa", "8. Economic growth", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "afrique du sud", "small holders", "azote du sol"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2015.02.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2015.02.001", "name": "item", "description": "10.1016/j.agee.2015.02.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2015.02.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2015.11.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:51Z", "type": "Journal Article", "created": "2015-11-22", "title": "The Impact Of Manure, Straw And Biochar Amendments On Aggregation And Erosion In A Hillslope Ultisol", "description": "Soil erosion is a serious problem in subtropical China where hillslope red soils (Ultisols in US soil taxonomy) are intensively cultivated. Manure and amendments have been reported to improve crop growth and soil structural stability in long-term experiments so the objective of this study was to determine the effect of different organic amendments on soil aggregate stability, agronomic performance, runoff, and erosion. Four treatments consisted of inorganic NPK fertilizer (NPK), NPK fertilizer plus rice straw mulch (NPK + Str), NPK fertilizer plus rice straw-derived biochar (NPK + BC), and NPK fertilizer plus swine manure (NPK + OM) located on land with a 9\u201314% slope planted with peanut (Arachis hypogaea L.). During the peanut season, soil erosion ranged from around 2600 ton km\u2212 2 with just inorganic NPK fertilizer down to 627 ton km\u2212 2 with fertilizer plus swine manure, while addition of swine manure also increased the above-ground biomass and SOC (P   0.05) except the SOC, because biochar was susceptible to erosion (2115 ton km\u2212 2). The least erosion was observed in the straw mulch treatment (225 ton km\u2212 2), while it improved the above-ground biomass (P < 0.05) but not the C stock. The results indicated that the application of organic manure was a more appropriate practice for hillslope Ultisols management than using biochar.", "keywords": ["2. Zero hunger", "soil erosion", "[SDE.MCG]Environmental Sciences/Global Changes", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "630", "6. Clean water", "3. Good health", "[SDE.MCG] Environmental Sciences/Global Changes", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "biochar", "soil structure", "organic amendment", "aggregate stability"], "contacts": [{"organization": "Peng, Xinhua, Zhu, Q. H., Xie, Zubin, Darboux, Fr\u00e9d\u00e9ric, Holden, Nick M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2015.11.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2015.11.008", "name": "item", "description": "10.1016/j.catena.2015.11.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2015.11.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-03-01T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2024.e00801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:24Z", "type": "Journal Article", "created": "2024-04-20", "title": "National-scale digital soil mapping performances are related to covariates and sampling density: Lessons from France", "description": "Accurate soil property and class predictions through spatial modelling necessitate a thoughtful selection of explanatory variables and sample size, as their choice greatly impacts model performance. Within the framework of Global Soil Nutrient and Nutrient Budgets maps (GSNmap), the FAO Global Soil Partnership (GSP) launched a country-driven digital soil mapping (DSM) approach. The GSP asked the countries if they could implement the DSM prediction of ten soil properties, using their national point data and a set of widely available covariates (GSP_Cov). In this study, we examined the effect of including additional national-based covariates and soil observations on the performance of the prediction models using mainland France as a pilot. The learning soil dataset was based on a systematic 16-to-16\u202fkm grid. For a subset of soil properties, we also assessed using repeated k-fold cross-validation the effect of adding to this dataset many other irregularly spread measurements. The GSP_Cov included common widely available covariates that represented information about terrain, climate, and organisms. The second set of covariates consisted of the GSP_Cov, extended to extra covariates available at a national level, such as previously existing soil maps, geological maps, remote sensing products and others. Random Forest approach in combination with the Boruta selection method was employed for mapping ten soil properties: soil organic carbon (SOC), pH (water), total nitrogen (N), available phosphorus (P), available potassium (K), cation exchange capacity (CEC), bulk density (BD), and texture (clay, silt, and sand). The results revealed noteworthy enhancements in prediction performance for more than half of the properties, although, for some of them, the improvements were negligible. The most significant improvements were obtained for pH, CEC and texture, where geological variables and a previous pH map significantly contributed to the increase in accuracy. Adding numerous points (around 25,000) to the learning dataset improved the performance of soil particle-size fractions predictions. By broadening the spectrum of covariates and better covering the feature and geographical spaces considered in soil prediction models, this research underscores the importance of implementing a more diverse range of covariates at a national scale and of densifying soil information to enlarge the feature and geographical spaces of multidimensional soil/covariates combinations. This information should be taken into account in national and continental digital soil mapping endeavours.", "keywords": ["2. Zero hunger", "Soil", "Digital soil mapping", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Spatial sampling", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Covariates", "Modelling", "Random forest"], "contacts": [{"organization": "Suleymanov, Azamat, Richer-De-Forges, Anne C, Saby, Nicolas P. A., Arrouays, Dominique, Martin, Manuel P, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2024.e00801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2024.e00801", "name": "item", "description": "10.1016/j.geodrs.2024.e00801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2024.e00801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2019.02.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:30Z", "type": "Journal Article", "created": "2019-03-06", "title": "Distribution trend of trace elements in digestate exposed to air: Laboratory-scale investigations using DGT-based fractionation", "description": "The use of digestate as amendment for agricultural soils has already been proposed as an alternative to mineral fertilizers or undigested organic matter. However, little information is available concerning the effect of digestate atmospheric exposure on trace elements speciation and, consequently, on their mobility and bio-accessibility when digestate is stored in open tanks or handled before land spreading. In this study, we investigated at laboratory-scale the effect of digestate aeration on the distribution of Al, As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Sb, Se and W using the diffusive gradients in thin films technique (DGT)-based fractionation. For this purpose, experiments were performed to assess the variation in distribution between the labile, soluble and particulate fractions over time in digested sewage sludge during passive and forced aeration. Results showed that aeration promoted a dissolution of Al, As, Co, Cr, Cu, Fe, Mn, Mo and Pb, suggesting a possible increase in their mobility that may likely occur during storage in open tanks or handling before land spreading. Labile elements' fraction increased only during forced aeration (except for Fe and Mn), suggesting that their short-term bio-accessibility can increase only after significant aeration as the one assumed to occur when land spreading takes place.", "keywords": ["550", "[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering", "Speciation", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Diffusive gradients in thin films (DGT)", "Chemical Fractionation", "01 natural sciences", "630", "Soil", "Digested sewage sludge", "[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering", "Fractionation", "Diffusive gradients in thin films (DGT); Digested sewage sludge; Fractionation; Metalloids; Metals; Speciation; Chemical Fractionation; Environmental Monitoring; Sewage; Soil; Trace Elements", "Metalloids", "0105 earth and related environmental sciences", "2. Zero hunger", "Sewage", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Trace Elements", "Metals", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2019.02.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2019.02.120", "name": "item", "description": "10.1016/j.jenvman.2019.02.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2019.02.120"}, {"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.jhazmat.2024.136496", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:32Z", "type": "Journal Article", "created": "2024-11-17", "title": "Mobilization of poly- and perfluoroalkyl substances (PFAS) from heterogeneous soils: Desorption by ethanol/xanthan gum mixture", "description": "Remediating soils contaminated by per- and polyfluoroalkyl substances (PFAS) is a challenging task due to the unique properties of these compounds, such as variable solubility and resistance to degradation. In-situ soil flushing with solvents has been considered as a remediation technique for PFAS-contaminated soils. The use of non-Newtonian fluids, displaying variable viscosity depending on the applied shear rate, can offer certain advantages in improving the efficiency of the process, particularly in heterogeneous porous media. In this work, the efficacy of ethanol/xanthan mixture (XE) in the recovery of a mixture of perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane sulfonate (PFHxS), and perfluorobutane sulfonate (PFBS) from soil has been tested at lab-scale. XE's non-Newtonian behavior was examined through rheological measurements, confirming that ethanol did not affect xanthan gum's (XG) shear-thinning behavior. The recovery of PFAS in batch-desorption exceeded 95\u00a0% in ethanol, and 99\u00a0% in XE, except for PFBS which reached 94\u00a0%. 1D-column experiments revealed overshoots in PFAS breakthrough curves during ethanol and XE injection, due to over-solubilization. XE, (XG 0.05\u00a0% w/w) could recover 99\u00a0% PFOA, 98\u00a0% PFBS, 97\u00a0% PFHxS, and 92\u00a0% PFOS. Numerical modeling successfully reproduces breakthrough curves for PFOA, PFHxS, and PFBS with the convection-dispersion-sorption equation and Langmuir sorption isotherm.", "keywords": ["Heterogeneity of porous media", "PFAS", "628", "H2020", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Desorption", "551", "Alcohol", "PROMISCES", "Poly- and perfluoroalkyl substances (PFAS)", "Non-Newtonian fluids (NNF)"], "contacts": [{"organization": "Batikh, Ali, Colombano, St\u00e9fan, Cochennec, Maxime, Davarzani, Dorian, Perrault, Arnault, Lions, Julie, Grandcl\u00e9ment, Julien, Guyonnet, Dominique, Togola, Anne, Zornig, Cl\u00e9ment, Devau, Nicolas, Lion, Fabien, Alamooti, Amir, Bristeau, S\u00e9bastien, Djemil, Mohamed, van Hullebusch, E.D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2024.136496"}, {"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.2024.136496", "name": "item", "description": "10.1016/j.jhazmat.2024.136496", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2024.136496"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2024.171347", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:44Z", "type": "Journal Article", "created": "2024-03-02", "title": "Selection of soil health indicators for modelling soil functions to promote smart urban planning", "description": "The contribution of soil health to global health receives a growing interest, especially in urban environment. Therefore, there is a true need to develop methods to evaluate ecological functions provided by urban soils in order to promote smart urban planning. This work aims first at identifying relevant soil indicators based either on in situ description, in situ measurement or lab analysis. Then, 9 soil functions and sub-functions were selected to meet the main expectations regarding soil health in urban contexts. A crucial step of the present research was then to select adequate indicators for each soil function and then to create adapted reference frameworks; they were in the form of 4 classes with scores ranging from 0 to 3. All the reference frameworks were developed to evaluate soil indicators in order to score soil functions, either by using existing scientific or technical standards or references or based on the expertise of the co-authors. Our model was later tested on an original database of 109 different urban soils located in 7 cities of Western Europe and under various land uses. The scores calculated for 8 soil functions of 109 soils followed a Gaussian distribution. The scoring successfully expressed the strong contrasts between the various soils; the lowest scores were calculated for sealed soils and soils located in urban brownfields, whereas the highest were found for soils located in city parks or urban agriculture. Despite requiring a soil expertise, the proposed approach is easy to implement and could help reveal the true potential of urban soils in order to promote smart urban planning and enhance their contribution to global health.", "keywords": ["[SDE] Environmental Sciences", "Urban soils", "550", "11. Sustainability", "Soil indicators", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Ecosystem services", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Soil functions", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2024.171347"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2024.171347", "name": "item", "description": "10.1016/j.scitotenv.2024.171347", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2024.171347"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-01T00:00:00Z"}}, {"id": "10.1038/s41467-022-31540-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:32Z", "type": "Journal Article", "created": "2022-07-01", "title": "Global stocks and capacity of mineral-associated soil organic carbon", "description": "Abstract<p>Soil is the largest terrestrial reservoir of organic carbon and is central for climate change mitigation and carbon-climate feedbacks. Chemical and physical associations of soil carbon with minerals play a critical role in carbon storage, but the amount and global capacity for storage in this form remain unquantified. Here, we produce spatially-resolved global estimates of mineral-associated organic carbon stocks and carbon-storage capacity by analyzing 1144 globally-distributed soil profiles. We show that current stocks total 899 Pg C to a depth of 1\uffe2\uff80\uff89m in non-permafrost mineral soils. Although this constitutes 66% and 70% of soil carbon in surface and deeper layers, respectively, it is only 42% and 21% of the mineralogical capacity. Regions under agricultural management and deeper soil layers show the largest undersaturation of mineral-associated carbon. Critically, the degree of undersaturation indicates sequestration efficiency over years to decades. We show that, across 103 carbon-accrual measurements spanning management interventions globally, soils furthest from their mineralogical capacity are more effective at accruing carbon; sequestration rates average 3-times higher in soils at one tenth of their capacity compared to soils at one half of their capacity. Our findings provide insights into the world\uffe2\uff80\uff99s soils, their capacity to store carbon, and priority regions and actions for soil carbon management.</p", "keywords": ["Carbon sequestration", "550", "Permafrost", "/704/106/47/4113", "Carbon Dynamics in Peatland Ecosystems", "Digital Soil Mapping Techniques", "Oceanography", "01 natural sciences", "Agricultural and Biological Sciences", "Soil", "Soil water", "Carbon fibers", "Climate change", "2. Zero hunger", "Minerals", "Ecology", "Forestry Sciences", "Q", "Total organic carbon", "article", "Life Sciences", "Composite number", "Geology", "Agriculture", "/704/106/694/682", "Soil carbon", "Chemistry", "/704/47/4113", "CESD-Soil Quality", "Physical Sciences", "Environmental chemistry", "Engineering sciences. Technology", "Composite material", "/141", "Carbon Sequestration", "Environmental Engineering", "Life on Land", "Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Veterinary and Food Sciences", "Soil Science", "/704/106/694/1108", "Environmental science", "Article", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "Soil Carbon Sequestration", "Biology", "0105 earth and related environmental sciences", "Soil science", "Agricultural", "Soil organic matter", "FOS: Environmental engineering", "Soil Properties", "FOS: Earth and related environmental sciences", "15. Life on land", "Materials science", "Carbon", "Carbon dioxide", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "/119", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41467-022-31540-9.pdf"}, {"href": "https://escholarship.org/content/qt2vm0b30s/qt2vm0b30s.pdf"}, {"href": "https://doi.org/10.1038/s41467-022-31540-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-022-31540-9", "name": "item", "description": "10.1038/s41467-022-31540-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-022-31540-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10.1089/ast.2020.2228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:06Z", "type": "Journal Article", "created": "2020-05-21", "title": "Estimated Minimum Life Span of the Jezero Fluvial Delta (Mars)", "description": "The paleo-lake floor at the edge of the Jezero delta has been selected as the NASA 2020 rover landing site. In this article, we demonstrate the sequences of lake filling and delta formation and constrain the minimum life span of the Jezero paleo-lake from sedimentological and hydrological analyses. Two main phases of delta evolution can be recognized by utilizing imagery provided by the High Resolution Imaging Science Experiment (NASA Mars Reconnaissance Orbiter) and High Resolution Stereo Camera (ESA Mars Express): (1) basin infilling before the breaching of the Jezero rim and (2) the delta formation itself. Our results suggest that delta formation occurred over a minimum period of 90-550 years of hydrological activity. Breaching of the Jezero rim occurred in at least three distinct episodes, which spanned a far longer time-period than overall delta formation. This evolutionary history implies that the Jezero-lake floor would have been a haven for fine-grained sediment accumulation and hosted an active environment of significant astrobiological importance.", "keywords": ["Geologic Sediments", "Evolution", " Chemical", "550", "Extraterrestrial Environment", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mars", "Neretva Vallis", "15. Life on land", "Jezero fan-delta", "Agricultural and Biological Sciences (miscellaneous)", "01 natural sciences", "Fluvial activity", "Lake", "Lakes", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Space and Planetary Science", "13. Climate action", "Taverne", "Exobiology", "0103 physical sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Sedimentology", " Fluvial activity", " Jezero fan-delta", " Lake", " Landing site", " Mars", " Neretva Vallis", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "Landing site", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.liebertpub.com/doi/pdf/10.1089/ast.2020.2228"}, {"href": "https://doi.org/10.1089/ast.2020.2228"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Astrobiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1089/ast.2020.2228", "name": "item", "description": "10.1089/ast.2020.2228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1089/ast.2020.2228"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1038/s41598-020-61528-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:36Z", "type": "Journal Article", "created": "2020-03-25", "title": "Smoothed millennial-scale palaeoclimatic reference data as unconventional comparison targets: Application to European loess records", "description": "Abstract<p>Millennial-scale palaeoclimate variability has been documented in various terrestrial and marine palaeoclimate proxy records throughout the Northern Hemisphere for the last glacial cycle. Its clear expression and rapid shifts between different states of climate (Greenland Interstadials and Stadials) represents a correlation tool beyond the resolution of e.g. luminescence dating, especially relevant for terrestrial deposits. Usually, comparison of terrestrial proxy datasets and the Greenland ice cores indicates a complex expression of millennial-scale climate variability as recorded in terrestrial geoarchives including loess. Loess is the most widespread terrestrial geoarchive of the Quaternary and especially widespread over Eurasia. However, loess often records a smoothed representation of millennial-scale variability without all fidelity when compared to the Greenland data, this being a relevant limiting feature in integrating loess with other palaeoclimate records. To better understand the loess proxy-response to millennial-scale climate variability, we simulate a proxy signal smoothing by natural processes through application of low-pass filters of \uffce\uffb418O data from Greenland, a high-resolution palaeoclimate reference record, alongside speleothem isotope records from the Black Sea-Mediterranean region. We show that low-pass filters represent rather simple models for better constraining the expression of millennial-scale climate variability in low sedimentation environments, and in sediments where proxy-response signals are most likely affected by natural smoothing (by e.g. bioturbation). Interestingly, smoothed datasets from Greenland and the Black Sea-Mediterranean region are most similar in the last ~15 ka and between ~50\uffe2\uff80\uff9330 ka. Between ~30\uffe2\uff80\uff9315 ka, roughly corresponding to the Last Glacial Maximum and the deglaciation, the records show dissimilarities, challenging the construction of robust correlative time-scales in this age range. From our analysis it becomes apparent that patterns of palaeoclimate signals in loess-palaeosol sequences often might be better explained by smoothed Greenland reference data than the original high-resolution Greenland dataset, or other reference data. This opens the possibility to better assess the temporal resolution and palaeoclimate potential of loess-palaeosol sequences in recording supra-regional climate patterns, as well as to securely integrate loess with other chronologically better-resolved palaeoclimate records.</p>", "keywords": ["[PHYS]Physics [physics]", "550", "ddc:550", "Stratigraphy", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "600", "Sedimentology", "15. Life on land", "Palaeoclimate", "01 natural sciences", "Article", "550 Geowissenschaften", "[PHYS] Physics [physics]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "info:eu-repo/classification/ddc/600", "Institut f\u00fcr Geowissenschaften", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41598-020-61528-8.pdf"}, {"href": "https://doi.org/10.1038/s41598-020-61528-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-020-61528-8", "name": "item", "description": "10.1038/s41598-020-61528-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-020-61528-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-25T00:00:00Z"}}, {"id": "10.1039/c9ja00331b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:40Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "7. Clean energy", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1039/c9ja00331b"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c9ja00331b", "name": "item", "description": "10.1039/c9ja00331b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c9ja00331b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1111/ejss.13242", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:23Z", "type": "Journal Article", "created": "2022-04-28", "title": "A well\u2010established fact: Rapid mineralization of organic inputs is an important factor for soil carbon sequestration", "description": "Abstract<p>We have read with interest an opinion paper recently published in the European Journal of Soil Science (Berthelin et al., 2022). This paper presents some interesting considerations, at least one of which is already well known to soil scientists working on soil organic carbon (SOC), that is, a large portion (80%\uffe2\uff80\uff9390%) of fresh carbon inputs to soil is subject to rapid mineralization. The short\uffe2\uff80\uff90term mineralization kinetics of organic inputs is well\uffe2\uff80\uff90known and accounted for in soil organic matter models. Thus, clearly, the long\uffe2\uff80\uff90term predictions based on these models do not overlook short\uffe2\uff80\uff90term mineralization. We point out that many agronomic practices can significantly contribute to SOC sequestration. If conducted responsibly whilst fully recognising the caveats, SOC sequestration can lead to a win\uffe2\uff80\uff90win situation where agriculture can both contribute to the mitigation of climate change and adapt to it, whilst at the same time delivering other co\uffe2\uff80\uff90benefits such as reduced soil erosion and enhanced biodiversity.</p>Highlights<p> <p>Rapid mineralization of organic inputs is an important factor for soil carbon sequestration.</p> <p>Mineralization kinetics of organic inputs are well\uffe2\uff80\uff90known and accounted for in soil organic matter models.</p> <p>Many agronomic practices can contribute significantly to SOC sequestration.</p> <p>SOC sequestration can lead to a win\uffe2\uff80\uff90win situation where agriculture can both contribute to the mitigation of climate change and adapt to it.</p> </p", "keywords": ["2. Zero hunger", "550", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "630", "soil", "climate change", "carbon sequestration; climate change; mineralization; soil", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "mineralization"]}, "links": [{"href": "https://doi.org/10.1111/ejss.13242"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13242", "name": "item", "description": "10.1111/ejss.13242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.1111/ejss.70041", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:24Z", "type": "Journal Article", "created": "2025-01-28", "title": "Coupling Infrared Isotopic Gas Analysis and Thermal Ramped Analysis to Characterise Soil Organic and Inorganic Carbon", "description": "ABSTRACT                   <p>                     Studying the soil organic and inorganic carbon (SOC and SIC) dynamics is essential to assess the carbon (C) sequestration potential of calcareous soils. Isotopic signatures (\uffce\uffb4                     13                     C) are used to assess the C origin of SOC or SIC. However, as measuring SOC and SIC contents, measuring \uffce\uffb4                     13                     C                     SOC                     and \uffce\uffb4                     13                     C                     SIC                     on a non\uffe2\uff80\uff90pretreated aliquot remains a challenge. Thermal analyses, like the Rock\uffe2\uff80\uff90Eval (RE) analysis, are promising to quantify SOC and SIC in a single analysis, but, to our knowledge, no development was conducted to assess \uffce\uffb4                     13                     C                     SOC                     and \uffce\uffb4                     13                     C                     SIC                     . We coupled a RE device to an isotopic gas analyser (Picarro) to continuously measure \uffce\uffb4                     13                     C                     CO2                     and approach \uffce\uffb4                     13                     C                     SOC                     and \uffce\uffb4                     13                     C                     SIC                     . We hypothesised that different carbonate mineralogies and/or crystal sizes in SIC involve fluctuations of the \uffce\uffb4                     13                     C                     CO2                     . Two calcareous soils, a lithogenic (calcite) and a biogenic (snail shell) carbonate, and five calcite/shell mixes were analysed with the RE\uffe2\uff80\uff90Picarro setup. Two distinct \uffce\uffb4                     13                     C                     CO2                     values were obtained before and after 650\uffc2\uffb0C and were consistent with the \uffce\uffb4                     13                     C                     SOC                     and \uffce\uffb4                     13                     C                     SIC                     obtained by EA\uffe2\uff80\uff90IRMS. The fluctuations of \uffce\uffb4                     13                     C                     CO2                     above 650\uffc2\uffb0C were higher with calcite/shell mixes than with pure carbonates. A \uffce\uffb4                     13                     C                     CO2                     fluctuation &gt;\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.2\uffe2\uff80\uffb0 could be a pertinent indicator to detect mixes of carbonate with different \uffce\uffb4                     13                     C in soils. The RE\uffe2\uff80\uff90Picarro setup is promising to assess SOC and SIC contents, \uffce\uffb4                     13                     C                     SOC                     and \uffce\uffb4                     13                     C                     SIC                     and detect mixes of carbonate with different origin on a non\uffe2\uff80\uff90pretreated aliquot. Development is needed (i) on more soil and carbonate samples and (ii) to improve the precision and accuracy of the RE\uffe2\uff80\uff90Picarro setup.                   </p", "keywords": ["Calcareous soils", "550", "Mediterranean soils", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Lithogenic carbonate", "Biogenic carbonate", "Isotopic signature"]}, "links": [{"href": "https://doi.org/10.1111/ejss.70041"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.70041", "name": "item", "description": "10.1111/ejss.70041", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.70041"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.1130/B31375.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:53Z", "type": "Journal Article", "created": "2016-01-09", "title": "Eolian cannibalism: Reworked loess and fluvial sediment as the main sources of the Chinese Loess Plateau", "description": "The loess and paleosol sequences of the Chinese Loess Plateau are composed of Quaternary dust, the origin of which has been the subject of considerable debate. Some recent U-Pb geochronological studies of eolian zircons have proposed the existence of two major wind pathways: from the north and northwest, through the Badan Jaran, Tengger, and Mu Us Deserts during interglacials, and from the west, through the Qaidam Basin during glacials. Others have emphasized the importance of Yellow River sediment supply in the Chinese Loess Plateau sediment budget. However, tracking dust source regions through U-Pb dating in a statistically robust manner is particularly complex given the similar age peaks in the age probability distributions of potential source regions in Central Asia. This paper presents 2410 new U-Pb ages of detrital zircons from wind-eroded strata, Quaternary eolian deposits, and modern river sands in central China in order to increase the robustness and the spatial resolution of zircon age distributions in dust source regions. We then propose a new mixture modeling technique to statistically address the contribution of these different sources to the Chinese Loess Plateau sedimentary budget. Our contribution estimates indicate that eolian supply to the Chinese Loess Plateau is dominated (60%\u201370%) by reworking of Yellow River sediment. Moreover, evidence of Qaidam Basin\u2013sourced zircons (15%\u201320%) in both loess (glacial) and paleosol (interglacial) layers corroborates the existence of an erosive wind pathway through the Qaidam Basin during glacials and implies that a substantial portion of the interglacial dust is recycled from older glacial loess. We propose that sediment reworking of Yellow River sediment and older loess deposits by wind on the Chinese Loess Plateau homogenized the eolian zircon populations toward a glacial provenance due to higher (2\u201320 times) dust accumulation rates during glacials. These findings suggest that the Chinese Loess Plateau has evolved as a more dynamic landform than previous thought, where wind deflation, fluvial input, lateral transport, and accumulation of sediment are equally important. These internal reworking effects would then significantly bias the paleoclimatic interpretations based on eolian dust properties of the Chinese Loess Plateau.", "keywords": ["550", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Institut f\u00fcr Geowissenschaften", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1130/B31375.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geological%20Society%20of%20America%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1130/B31375.1", "name": "item", "description": "10.1130/B31375.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1130/B31375.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-08T00:00:00Z"}}, {"id": "10.1177/0959683619826637", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:00Z", "type": "Journal Article", "created": "2019-02-15", "title": "Holocene demographic fluctuations, climate and erosion in the Mediterranean: A meta data-analysis", "description": "<p> As part of the Changing the Face of the Mediterranean Project, we consider how human pressure and concomitant erosion has affected a range of Mediterranean landscapes between the Neolithic and, in some cases, the post-medieval period. Part of this assessment comprises an investigation of relationships among palaeodemographic data, evidence for vegetation change and some consideration of rapid climate change events. The erosion data include recent or hitherto unpublished work from the authors. Where possible, we consider summed probabilities of 14C dates as well as the first published synthesis of all known optically stimulated luminescence dated sequences. The results suggest that while there were some periods when erosion took place contemporaneously across a number of regions, possibly induced by climate changes, more often than not, we see a complex and heterogeneous interplay of demographic and environmental changes that result in a mixed pattern of erosional activity across the Mediterranean. </p>", "keywords": ["[SDE] Environmental Sciences", "demography", "human impact", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "[SDE.MCG]Environmental Sciences/Global Changes", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mediterranean", "01 natural sciences", "[SDU] Sciences of the Universe [physics]", "[SDE.ES] Environmental Sciences/Environment and Society", "0601 history and archaeology", "[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDE.ES]Environmental Sciences/Environment and Society", "demography; erosion; geoarchaeology; Holocene; human impact; Mediterranean", "0105 earth and related environmental sciences", "Holocene", "06 humanities and the arts", "15. Life on land", "erosion", "[SDE.MCG] Environmental Sciences/Global Changes", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "[SDE]Environmental Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "geoarchaeology"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1858935/2/Walsh_etal_2019.pdf"}, {"href": "http://journals.sagepub.com/doi/pdf/10.1177/0959683619826637"}, {"href": "https://doi.org/10.1177/0959683619826637"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Holocene", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1177/0959683619826637", "name": "item", "description": "10.1177/0959683619826637", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1177/0959683619826637"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-14T00:00:00Z"}}, {"id": "10.1175/bams-d-19-0316.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:59Z", "type": "Journal Article", "created": "2021-04-29", "title": "Closing the water cycle from observations across scales: Where do we stand?", "description": "ABSTRACT<p>Life on Earth vitally depends on the availability of water. Human pressure on freshwater resources is increasing, as is human exposure to weather-related extremes (droughts, storms, floods) caused by climate change. Understanding these changes is pivotal for developing mitigation and adaptation strategies. The Global Climate Observing System (GCOS) defines a suite of essential climate variables (ECVs), many related to the water cycle, required to systematically monitor Earth\uffe2\uff80\uff99s climate system. Since long-term observations of these ECVs are derived from different observation techniques, platforms, instruments, and retrieval algorithms, they often lack the accuracy, completeness, and resolution, to consistently characterize water cycle variability at multiple spatial and temporal scales. Here, we review the capability of ground-based and remotely sensed observations of water cycle ECVs to consistently observe the hydrological cycle. We evaluate the relevant land, atmosphere, and ocean water storages and the fluxes between them, including anthropogenic water use. Particularly, we assess how well they close on multiple temporal and spatial scales. On this basis, we discuss gaps in observation systems and formulate guidelines for future water cycle observation strategies. We conclude that, while long-term water cycle monitoring has greatly advanced in the past, many observational gaps still need to be overcome to close the water budget and enable a comprehensive and consistent assessment across scales. Trends in water cycle components can only be observed with great uncertainty, mainly due to insufficient length and homogeneity. An advanced closure of the water cycle requires improved model\uffe2\uff80\uff93data synthesis capabilities, particularly at regional to local scales.</p>", "keywords": ["550", "Hydrologic cycle", "0207 environmental engineering", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "02 engineering and technology", "/dk/atira/pure/sustainabledevelopmentgoals/clean_water_and_sanitation; name=SDG 6 - Clean Water and Sanitation", "551", "01 natural sciences", "333", "Water masses", "[SDU] Sciences of the Universe [physics]", "storage", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "Water budget/balance", "Water budget", "0105 earth and related environmental sciences", "Surface fluxes", "/dk/atira/pure/sustainabledevelopmentgoals/life_below_water; name=SDG 14 - Life Below Water", "Water masses/storage", "balance", "Surface observations", "15. Life on land", "6. Clean water", "Satellite observations", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/98278/1/Dorigo-2021-Closing-the-water-cycle-from-observ.pdf"}, {"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/102/10/BAMS-D-19-0316.1.xml"}, {"href": "https://doi.org/10.1175/bams-d-19-0316.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/bams-d-19-0316.1", "name": "item", "description": "10.1175/bams-d-19-0316.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/bams-d-19-0316.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.17863/cam.46707", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:29Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "01 natural sciences", "7. Clean energy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.17863/cam.46707"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17863/cam.46707", "name": "item", "description": "10.17863/cam.46707", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17863/cam.46707"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:58Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.3390/rs13163101", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:33Z", "type": "Journal Article", "created": "2021-08-06", "title": "Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco.", "description": "<p>Accurate seasonal forecasting of cereal yields is an important decision support tool for countries, such as Morocco, that are not self-sufficient in order to predict, as early as possible, importation needs. This study aims to develop an early forecasting model of cereal yields (soft wheat, barley and durum wheat) at the scale of the agricultural province considering the 15 most productive over 2000\uffe2\uff80\uff932017 (i.e., 15 \uffc3\uff97 18 = 270 yields values). To this objective, we built on previous works that showed a tight linkage between cereal yields and various datasets including weather data (rainfall and air temperature), regional climate indices (North Atlantic Oscillation in particular), and drought indices derived from satellite observations in different wavelengths. The combination of the latter three data sets is assessed to predict cereal yields using linear (Multiple Linear Regression, MLR) and non-linear (Support Vector Machine, SVM; Random Forest, RF, and eXtreme Gradient Boost, XGBoost) machine learning algorithms. The calibration of the algorithmic parameters of the different approaches are carried out using a 5-fold cross validation technique and a leave-one-out method is implemented for model validation. The statistical metrics of the models are first analyzed as a function of the input datasets that are used, and as a function of the lead times, from 4 months to 2 months before harvest. The results show that combining data from multiple sources outperformed models based on one dataset only. In addition, the satellite drought indices are a major source of information for cereal prediction when the forecasting is carried out close to harvest (2 months before), while weather data and, to a lesser extent, climate indices, are key variables for earlier predictions. The best models can accurately predict yield in January (4 months before harvest) with an R2 = 0.88 and RMSE around 0.22 t. ha\uffe2\uff88\uff921. The XGBoost method exhibited the best metrics. Finally, training a specific model separately for each group of provinces, instead of one global model, improved the prediction performance by reducing the RMSE by 10% to 35% depending on the provinces. In conclusion, the results of this study pointed out that combining remote sensing drought indices with climate and weather variables using a machine learning technique is a promising approach for cereal yield forecasting.</p>", "keywords": ["[SDE] Environmental Sciences", "330", "Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "[INFO] Computer Science [cs]", "crop yield forecasting", "01 natural sciences", "630", "indices", "[INFO]Computer Science [cs]", "Climate indices", "remote sensing drought indices", "weather data", "0105 earth and related environmental sciences", "2. Zero hunger", "Remote sensing drought indices", "climate indices", "remote sensing drought", "Q", "Crop yield forecasting", "04 agricultural and veterinary sciences", "semiarid region", "15. Life on land", "6. Clean water", "machine learning", "13. Climate action", "[SDE]Environmental Sciences", "crop yield forecasting; machine learning; remote sensing drought indices; climate indices; weather data; semiarid region", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Semiarid region"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3101/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/16/3101/pdf"}, {"href": "https://doi.org/10.3390/rs13163101"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13163101", "name": "item", "description": "10.3390/rs13163101", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13163101"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-06T00:00:00Z"}}, {"id": "10.3390/rs13245115", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:34Z", "type": "Journal Article", "created": "2021-12-16", "title": "Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In agronomy, soil organic carbon (SOC) content is important for the development and growth of crops. From an environmental monitoring viewpoint, SOC sequestration is essential for mitigating the emission of greenhouse gases into the atmosphere. SOC dynamics in cropland soils should be further studied through various approaches including remote sensing. In order to predict SOC content over croplands in southwestern France (area of 22,177 km\u00b2), this study addresses (i) the influence of the dates on which Sentinel-2 (S2) images were acquired in the springs of 2017\u20132018 as well as the influence of the soil sampling period of a set of samples collected between 2005 and 2018, (ii) the use of soil moisture products (SMPs) derived from Sentinel-1/2 satellites to analyze the influence of surface soil moisture on model performance when included as a covariate, and (iii) whether the spatial distribution of SOC as mapped using S2 is related to terrain-derived attributes. The influences of S2 image dates and soil sampling periods were analyzed for bare topsoil. The dates of the S2 images with the best performance (RPD \u2265 1.7) were 6 April and 26 May 2017, using soil samples collected between 2016 and 2018. The soil sampling dates were also analyzed using SMP values. Soil moisture values were extracted for each sample and integrated into partial least squares regression (PLSR) models. The use of soil moisture as a covariate had no effect on the prediction performance of the models; however, SMP values were used to select the driest dates, effectively mapping topsoil organic carbon. S2 was able to predict high SOC contents in the specific soil types located on the old terraces (mesas) shaped by rivers flowing from the southwestern Pyr\u00e9n\u00e9es.</p></article>", "keywords": ["2. Zero hunger", "550", "soil organic carbon; sentinel-2; soil moisture; croplands; digital soil mapping; southwestern france; topographic wetness index; slaking crust sensitivity index", "sentinel-2", "Science", "Q", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "15. Life on land", "croplands", "630", "soil organic carbon", "southwestern france", "topographic wetness index", "13. Climate action", "digital soil mapping", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "soil moisture", "slaking crust sensitivity index"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/24/5115/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/24/5115/pdf"}, {"href": "https://doi.org/10.3390/rs13245115"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13245115", "name": "item", "description": "10.3390/rs13245115", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13245115"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-16T00:00:00Z"}}, {"id": "10.3390/rs14122917", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:34Z", "type": "Journal Article", "created": "2022-06-20", "title": "Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper horizons or plough layer for enabling decision support and land management, while complying with several policies, especially those favoring soil carbon storage. This review paper is dedicated to the satellite-based spectral approaches for SOC assessment that have been achieved from several satellite sensors, study scales and geographical contexts in the past decade. Most approaches relying on pure spectral models have been carried out since 2019 and have dealt with temperate croplands in Europe, China and North America at the scale of small regions, of some hundreds of km2: dry combustion and wet oxidation were the analytical determination methods used for 50% and 35% of the satellite-derived SOC studies, for which measured topsoil SOC contents mainly referred to mineral soils, typically cambisols and luvisols and to a lesser extent, regosols, leptosols, stagnosols and chernozems, with annual cropping systems with a SOC value of ~15 g\u00b7kg\u22121 and a range of 30 g\u00b7kg\u22121 in median. Most satellite-derived SOC spectral prediction models used limited preprocessing and were based on bare soil pixel retrieval after Normalized Difference Vegetation Index (NDVI) thresholding. About one third of these models used partial least squares regression (PLSR), while another third used random forest (RF), and the remaining included machine learning methods such as support vector machine (SVM). We did not find any studies either on deep learning methods or on all-performance evaluations and uncertainty analysis of spatial model predictions. Nevertheless, the literature examined here identifies satellite-based spectral information, especially derived under bare soil conditions, as an interesting approach that deserves further investigations. Future research includes considering the simultaneous analysis of imagery acquired at several dates i.e., temporal mosaicking, testing the influence of possible disturbing factors and mitigating their effects fusing mixed models incorporating non-spectral ancillary information.</p></article>", "keywords": ["2. Zero hunger", "550", "Science", "Q", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences (social aspects to be 507)", "Geology", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "15. Life on land", "satellite imagery", "630", "Remote Sensing", "soil organic carbon", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "spectral models"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/532033/1/remotesensing-steropes%20review.pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/12/2917/pdf"}, {"href": "https://pub.epsilon.slu.se/28706/1/vaoudour-e-et-al-220809.pdf"}, {"href": "https://doi.org/10.3390/rs14122917"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs14122917", "name": "item", "description": "10.3390/rs14122917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14122917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-18T00:00:00Z"}}, {"id": "10.3390/s21010142", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2020-12-28", "title": "Comparing Direct Observation of Torsion with Array-Derived Rotation in Civil Engineering Structures", "description": "<p>In this article, we analyze the rotation rates in a building derived from a network of translation sensors and recorded by a rotation sensor. The building is Grenoble city hall, a reinforced concrete structure with permanent accelerometric translation sensors at the top and bottom of the building. A temporary experiment was conducted, consisting in installing a BlueSeis-3A rotation sensor for more than 24 h at the top of the structure. The ambient vibrations were analyzed. The amplitudes of translation accelerations and rotation rates at the top and bottom of the building, along with their variations over time, were analyzed. The acceleration/rotation ratios were then compared with the impulse wave velocities derived from seismic interferometry by deconvolution between the top and bottom. Perspectives with regard to building imaging, time monitoring of structural integrity and understanding the contribution of rotations to the structure\uffe2\uff80\uff99s response are discussed, offering new suggestions for research projects.</p>", "keywords": ["570", "structural health monitoring (SHM)", "Chemical technology", "Communication", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "TP1-1185", "02 engineering and technology", "530", "rotation", "buildings", "City-Hall Grenoble", "0201 civil engineering", "13. Climate action", "11. Sustainability", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "array-derived", "civil engineering"], "contacts": [{"organization": "Gu\u00e9guen, Philippe, Guattari, Fr\u00e9d\u00e9ric, Aubert, Coralie, Laudat, Theo,", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/1424-8220/21/1/142/pdf"}, {"href": "https://doi.org/10.3390/s21010142"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s21010142", "name": "item", "description": "10.3390/s21010142", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21010142"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-28T00:00:00Z"}}, {"id": "10871/31936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:01Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.</p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10871/31936"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10871/31936", "name": "item", "description": "10871/31936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10871/31936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.5194/bg-3-571-2006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:09Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u*-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning inter-annual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.                     </p>", "keywords": ["european database of the eddy covariance measurements", "550", "net ecosystem exchange", "Molecular Biology/Biochemistry [q-bio.BM]", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "Life", "QH501-531", "[SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry", " Molecular Biology/Biochemistry [q-bio.BM]", "QH540-549.5", "eddy covariance technique", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "algorithm", "[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Geology", "15. Life on land", "terrestrial ecosystem respiration", "gross primary production", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "co2", "measurement", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.5194/bg-3-571-2006"}, {"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-3-571-2006", "name": "item", "description": "10.5194/bg-3-571-2006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-3-571-2006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-11-27T00:00:00Z"}}, {"id": "10.5194/essd-13-3707-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:15Z", "type": "Journal Article", "created": "2021-01-07", "title": "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", "description": "<p>Abstract. A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in the semi-arid areas where the water resources are limited. Radar observations, available at high resolution and revisit time since the launch of Sentinel-1 in 2014, have shown great potential for the monitoring of the water content of the upper soil and of the canopy. In this paper, a complete set of data for radar signal analysis is shared to the scientific community for the first time to our knowledge. The data set is composed of Sentinel-1 products and in situ measurements of soil and vegetation variables collected during three agricultural seasons over drip-irrigated winter wheat in the Haouz plain in Morocco. The in situ data gathers soil measurements (time series of half-hourly surface soil moisture, surface roughness and agricultural practices) and vegetation measurements collected every week/two weeks including above-ground fresh and dry biomasses, vegetation water content based on destructive measurements, cover fraction, leaf area index and plant height. Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High resolution) and SLC (Single Look Complex) products, respectively. The normalized difference vegetation index derived from Sentinel-2 data based on Level-2A (surface reflectance and cloud mask) atmospheric effects-corrected products is also provided. This database, which is the first of its kind made available in open access, is described here comprehensively in order to help the scientific community to evaluate and to develop new or existing remote sensing algorithms for monitoring wheat canopy under semi-arid conditions. The data set is particularly relevant for the development of radar applications including surface soil moisture and vegetation parameters retrieval using either physically based or empirical approaches such as machine and deep learning algorithms. The database is archived in the DataSuds repository and is freely-accessible via the DOI:  https://doi.org/10.23708/8D6WQC  (Ouaadi et al., 2020a).                         </p>", "keywords": ["550", "Arid", "Soil Moisture", "0211 other engineering and technologies", "FOS: Mechanical engineering", "02 engineering and technology", "Digital Soil Mapping Techniques", "Normalized Difference Vegetation Index", "630", "Agricultural and Biological Sciences", "Engineering", "Pathology", "GE1-350", "2. Zero hunger", "QE1-996.5", "Vegetation Monitoring", "Water content", "Ecology", "Geography", "Statistics", "Life Sciences", "Hydrology (agriculture)", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Soil Erosion and Agricultural Sustainability", "6. Clean water", "Satellite Observations", "Archaeology", "Physical Sciences", "Leaf area index", "Telecommunications", "Medicine", "Vegetation (pathology)", "Environmental Engineering", "Data set", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Aerospace Engineering", "Soil Science", "Environmental science", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "FOS: Mathematics", "Biology", "Radar", "Synthetic Aperture Radar Interferometry", "Canopy", "FOS: Environmental engineering", "Soil Properties", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Agronomy", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Mathematics"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/3707/2021/essd-13-3707-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-3707-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-3707-2021", "name": "item", "description": "10.5194/essd-13-3707-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-3707-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-07T00:00:00Z"}}, {"id": "10.5194/essd-13-4349-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:15Z", "type": "Journal Article", "created": "2021-09-07", "title": "ERA5-Land: a state-of-the-art global reanalysis dataset for land applications", "description": "<p>Abstract. Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrations of the ECMWF land surface model driven by the downscaled meteorological forcing from the ERA5 climate reanalysis, including an elevation correction for the thermodynamic near-surface state. ERA5-Land shares with ERA5 most of the parameterizations that guarantees the use of the state-of-the-art land surface modelling applied to numerical weather prediction (NWP) models. A main advantage of ERA5-Land compared to ERA5 and the older ERA-Interim is the horizontal resolution, which is enhanced globally to 9\uffe2\uff80\uff89km compared to 31\uffe2\uff80\uff89km (ERA5) or 80\uffe2\uff80\uff89km (ERA-Interim), whereas the temporal resolution is hourly as in ERA5. Evaluation against independent in situ observations and global model or satellite-based reference datasets shows the added value of ERA5-Land in the description of the hydrological cycle, in particular with enhanced soil moisture and lake description, and an overall better agreement of river discharge estimations with available observations. However, ERA5-Land snow depth fields present a mixed performance when compared to those of ERA5, depending on geographical location and altitude. The description of the energy cycle shows comparable results with ERA5. Nevertheless, ERA5-Land reduces the global averaged root mean square error of the skin temperature, taking as reference MODIS data, mainly due to the contribution of coastal points where spatial resolution is important. Since January\uffc2\uffa02020, the ERA5-Land period available has extended from January\uffc2\uffa01981 to the near present, with a 2- to 3-month delay with respect to real time. The segment prior to 1981 is in production, aiming for a release of the whole dataset in summer/autumn\uffc2\uffa02021. The high spatial and temporal resolution of ERA5-Land, its extended period, and the consistency of the fields produced makes it a valuable dataset to support hydrological studies, to initialize NWP and climate models, and to support diverse applications dealing with water resource, land, and environmental management. The full ERA5-Land hourly (Mu\uffc3\uffb1oz-Sabater,\uffc2\uffa02019a) and monthly (Mu\uffc3\uffb1oz-Sabater,\uffc2\uffa02019b) averaged datasets presented in this paper are available through the C3S Climate Data Store at https://doi.org/10.24381/cds.e2161bac and https://doi.org/10.24381/cds.68d2bb30, respectively.                     </p>", "keywords": ["QE1-996.5", "550", "IN-SITU", "LEAF-AREA", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Geology", "OPERATIONAL IMPLEMENTATION", "15. Life on land", "551", "SOIL-MOISTURE", "SURFACE-TEMPERATURE", "01 natural sciences", "LAKE PARAMETERIZATION", "[SDU] Sciences of the Universe [physics]", "Environmental sciences", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth and Environmental Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "SNOW MODELS", "GE1-350", "WEST-AFRICA", "SATELLITE", "NUMERICAL WEATHER PREDICTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/106796/1/essd-13-4349-2021.pdf"}, {"href": "https://essd.copernicus.org/articles/13/4349/2021/essd-13-4349-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-4349-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-4349-2021", "name": "item", "description": "10.5194/essd-13-4349-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-4349-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-15T00:00:00Z"}}, {"id": "10.5194/gmd-2017-172", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:18Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.                         </p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10.5194/gmd-2017-172"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-2017-172", "name": "item", "description": "10.5194/gmd-2017-172", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2017-172"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.5194/hess-26-4169-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2022-08-10", "title": "Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India", "description": "<p>Abstract. GRACE (Gravity Recovery and Climate Experiment) and its follow-on mission have provided since\uffc2\uffa02002 monthly anomalies of total water storage\uffc2\uffa0(TWS), which are very relevant to assess the evolution of groundwater storage\uffc2\uffa0(GWS) at global and regional scales. However, the use of GRACE data for groundwater irrigation management is limited by their coarse (\uffe2\uff89\uff83300\uffe2\uff80\uff89km) resolution. The last decade has thus seen numerous attempts to downscale GRACE data at higher \uffe2\uff80\uff93 typically several tens of\uffc2\uffa0kilometres \uffe2\uff80\uff93 resolution and to compare the downscaled GWS data with in situ measurements. Such comparison has been classically made in time, offering an estimate of the static performance of downscaling (classic validation). The point is that the performance of GWS downscaling methods may vary in time due to changes in the dominant hydrological processes through the seasons. To fill the gap, this study investigates the dynamic performance of GWS downscaling by developing a new metric for estimating the downscaling gain (new validation) against non-downscaled GWS. The new validation approach is tested over a 113\uffe2\uff80\uff89000\uffe2\uff80\uff89km2 fractured granitic aquifer in southern India. GRACE TWS data are downscaled at 0.5\uffe2\uff88\uff98 (\uffe2\uff89\uff8350\uffe2\uff80\uff89km) resolution with a data-driven method based on random forest. The downscaling performance is evaluated by comparing the downscaled versus in situ GWS data over a total of 38\uffc2\uffa0pixels at 0.5\uffe2\uff88\uff98 resolution. The spatial mean of the temporal Pearson correlation coefficient\uffc2\uffa0(R) and the root mean square error\uffc2\uffa0(RMSE) are 0.79\uffc2\uffa0and 7.9\uffe2\uff80\uff89cm respectively (classic validation). Confronting the downscaled results with the non-downscaling case indicates that the downscaling method allows a general improvement in terms of temporal agreement with in situ measurements (R=0.76 and RMSE\uffe2\uff80\uff89=\uffe2\uff80\uff898.2\uffe2\uff80\uff89cm for the non-downscaling case). However, the downscaling gain (new validation) is not static. The mean downscaling gain in\uffc2\uffa0R is about +30\uffe2\uff80\uff89% or larger from August to March, including both the wet and dry (irrigated) agricultural seasons, and falls to about +10\uffe2\uff80\uff89% from April to July during a transition period including the driest months (April\uffe2\uff80\uff93May) and the beginning of monsoon (June\uffe2\uff80\uff93July). The new validation approach hence offers for the first time a standardized and comprehensive framework to interpret spatially and temporally the quality and uncertainty of the downscaled GRACE-derived GWS products, supporting future efforts in GRACE downscaling methods in various hydrological contexts.                     </p>", "keywords": ["Technology", "550", "T", "0207 environmental engineering", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "G", "Environmental sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hess.copernicus.org/articles/26/4169/2022/hess-26-4169-2022.pdf"}, {"href": "https://doi.org/10.5194/hess-26-4169-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-26-4169-2022", "name": "item", "description": "10.5194/hess-26-4169-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-26-4169-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-10T00:00:00Z"}}, {"id": "10067/1897670151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:43Z", "type": "Journal Article", "created": "2022-07-01", "title": "Global stocks and capacity of mineral-associated soil organic carbon", "description": "Abstract<p>Soil is the largest terrestrial reservoir of organic carbon and is central for climate change mitigation and carbon-climate feedbacks. Chemical and physical associations of soil carbon with minerals play a critical role in carbon storage, but the amount and global capacity for storage in this form remain unquantified. Here, we produce spatially-resolved global estimates of mineral-associated organic carbon stocks and carbon-storage capacity by analyzing 1144 globally-distributed soil profiles. We show that current stocks total 899 Pg C to a depth of 1\uffe2\uff80\uff89m in non-permafrost mineral soils. Although this constitutes 66% and 70% of soil carbon in surface and deeper layers, respectively, it is only 42% and 21% of the mineralogical capacity. Regions under agricultural management and deeper soil layers show the largest undersaturation of mineral-associated carbon. Critically, the degree of undersaturation indicates sequestration efficiency over years to decades. We show that, across 103 carbon-accrual measurements spanning management interventions globally, soils furthest from their mineralogical capacity are more effective at accruing carbon; sequestration rates average 3-times higher in soils at one tenth of their capacity compared to soils at one half of their capacity. Our findings provide insights into the world\uffe2\uff80\uff99s soils, their capacity to store carbon, and priority regions and actions for soil carbon management.</p", "keywords": ["Carbon sequestration", "550", "Permafrost", "/704/106/47/4113", "Carbon Dynamics in Peatland Ecosystems", "Digital Soil Mapping Techniques", "Oceanography", "01 natural sciences", "Agricultural and Biological Sciences", "Soil", "Soil water", "Carbon fibers", "Climate change", "2. Zero hunger", "Minerals", "Ecology", "Forestry Sciences", "Q", "Total organic carbon", "article", "Life Sciences", "Composite number", "Geology", "Agriculture", "/704/106/694/682", "Soil carbon", "Chemistry", "/704/47/4113", "CESD-Soil Quality", "Physical Sciences", "Environmental chemistry", "Engineering sciences. Technology", "Composite material", "/141", "Carbon Sequestration", "Environmental Engineering", "Life on Land", "Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Veterinary and Food Sciences", "Soil Science", "/704/106/694/1108", "Environmental science", "Article", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "Soil Carbon Sequestration", "Biology", "0105 earth and related environmental sciences", "Soil science", "Agricultural", "Soil organic matter", "FOS: Environmental engineering", "Soil Properties", "FOS: Earth and related environmental sciences", "15. Life on land", "Materials science", "Carbon", "Carbon dioxide", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "/119", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41467-022-31540-9.pdf"}, {"href": "https://escholarship.org/content/qt2vm0b30s/qt2vm0b30s.pdf"}, {"href": "https://doi.org/10067/1897670151162165141"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10067/1897670151162165141", "name": "item", "description": "10067/1897670151162165141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10067/1897670151162165141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "20.500.14243/532033", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:34Z", "type": "Journal Article", "created": "2022-06-19", "title": "Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper horizons or plough layer for enabling decision support and land management, while complying with several policies, especially those favoring soil carbon storage. This review paper is dedicated to the satellite-based spectral approaches for SOC assessment that have been achieved from several satellite sensors, study scales and geographical contexts in the past decade. Most approaches relying on pure spectral models have been carried out since 2019 and have dealt with temperate croplands in Europe, China and North America at the scale of small regions, of some hundreds of km2: dry combustion and wet oxidation were the analytical determination methods used for 50% and 35% of the satellite-derived SOC studies, for which measured topsoil SOC contents mainly referred to mineral soils, typically cambisols and luvisols and to a lesser extent, regosols, leptosols, stagnosols and chernozems, with annual cropping systems with a SOC value of ~15 g\u00b7kg\u22121 and a range of 30 g\u00b7kg\u22121 in median. Most satellite-derived SOC spectral prediction models used limited preprocessing and were based on bare soil pixel retrieval after Normalized Difference Vegetation Index (NDVI) thresholding. About one third of these models used partial least squares regression (PLSR), while another third used random forest (RF), and the remaining included machine learning methods such as support vector machine (SVM). We did not find any studies either on deep learning methods or on all-performance evaluations and uncertainty analysis of spatial model predictions. Nevertheless, the literature examined here identifies satellite-based spectral information, especially derived under bare soil conditions, as an interesting approach that deserves further investigations. Future research includes considering the simultaneous analysis of imagery acquired at several dates i.e., temporal mosaicking, testing the influence of possible disturbing factors and mitigating their effects fusing mixed models incorporating non-spectral ancillary information.</p></article>", "keywords": ["2. Zero hunger", "550", "Science", "Q", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences (social aspects to be 507)", "Geology", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "15. Life on land", "satellite imagery", "630", "Remote Sensing", "soil organic carbon", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "spectral models"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/532033/1/remotesensing-steropes%20review.pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/12/2917/pdf"}, {"href": "https://pub.epsilon.slu.se/28706/1/vaoudour-e-et-al-220809.pdf"}, {"href": "https://doi.org/20.500.14243/532033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/532033", "name": "item", "description": "20.500.14243/532033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/532033"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-18T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:41Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "2992233099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:59Z", "type": "Journal Article", "created": "2019-12-09", "title": "Precise measurement of selenium isotopes by HG-MC-ICPMS using a 76\u201378 double-spike", "description": "<p>A novel <sup>76</sup>Se\u2013<sup>78</sup>Se double spike allows for rapid and precise selenium isotope measurements in geological samples.</p>", "keywords": ["34 Chemical Sciences", "3401 Analytical Chemistry", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "3406 Physical Chemistry", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "540", "7. Clean energy", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2992233099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20Atomic%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2992233099", "name": "item", "description": "2992233099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2992233099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "3017990436", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:05Z", "type": "Journal Article", "title": "the splash action group towards standardized sampling strategies in permafrost science", "description": "The Action Group called \u2018Standardized methods across Permafrost Landscapes: from Arctic Soils to Hydrosystems\u2019 (SPLASH) is a community-driven effort aiming to provide a suite of standardized field strategies for sampling mineral and organic components in soils, sediments, and water across permafrost landscapes. This unified approach will allow data from different landscape interfaces, field locations and seasons to be shared and compared, thus improving our understanding of the processes occurring during lateral transport in circumpolar Arctic watersheds.    Citation: Bouchard F, Agnan Y, Broder L, et al. The SPLASH Action Group \u2013 Towards standardized sampling strategies in permafrost science. Adv Polar Sci, 2020, 31 (3): 153-155, doi: 10.13679/j.advps.2020.0009    Note: Queries and discussions on this article should be made by E-mail directly with the corresponding author.", "keywords": ["Aquatic systems", "Minerals", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "lateral transport", "Terrestrial", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Biogeochemistry", "15. Life on land", "minerals", "Lateral transport", "13. Climate action", "biogeochemistry", "aquatic systems", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Soils", "Organic matter", "Cryosphere", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "soils", "organic matter"]}, "links": [{"href": "https://doi.org/3017990436"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advances%20in%20Polar%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3017990436", "name": "item", "description": "3017990436", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3017990436"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "38432376", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:29Z", "type": "Journal Article", "created": "2024-03-01", "title": "Selection of soil health indicators for modelling soil functions to promote smart urban planning", "description": "The contribution of soil health to global health receives a growing interest, especially in urban environment. Therefore, there is a true need to develop methods to evaluate ecological functions provided by urban soils in order to promote smart urban planning. This work aims first at identifying relevant soil indicators based either on in situ description, in situ measurement or lab analysis. Then, 9 soil functions and sub-functions were selected to meet the main expectations regarding soil health in urban contexts. A crucial step of the present research was then to select adequate indicators for each soil function and then to create adapted reference frameworks; they were in the form of 4 classes with scores ranging from 0 to 3. All the reference frameworks were developed to evaluate soil indicators in order to score soil functions, either by using existing scientific or technical standards or references or based on the expertise of the co-authors. Our model was later tested on an original database of 109 different urban soils located in 7 cities of Western Europe and under various land uses. The scores calculated for 8 soil functions of 109 soils followed a Gaussian distribution. The scoring successfully expressed the strong contrasts between the various soils; the lowest scores were calculated for sealed soils and soils located in urban brownfields, whereas the highest were found for soils located in city parks or urban agriculture. Despite requiring a soil expertise, the proposed approach is easy to implement and could help reveal the true potential of urban soils in order to promote smart urban planning and enhance their contribution to global health.", "keywords": ["[SDE] Environmental Sciences", "Urban soils", "550", "11. Sustainability", "Soil indicators", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Ecosystem services", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Soil functions", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/38432376"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "38432376", "name": "item", "description": "38432376", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38432376"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-01T00:00:00Z"}}, {"id": "39561539", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:25:31Z", "type": "Journal Article", "created": "2024-11-17", "title": "Mobilization of poly- and perfluoroalkyl substances (PFAS) from heterogeneous soils: Desorption by ethanol/xanthan gum mixture", "description": "Remediating soils contaminated by per- and polyfluoroalkyl substances (PFAS) is a challenging task due to the unique properties of these compounds, such as variable solubility and resistance to degradation. In-situ soil flushing with solvents has been considered as a remediation technique for PFAS-contaminated soils. The use of non-Newtonian fluids, displaying variable viscosity depending on the applied shear rate, can offer certain advantages in improving the efficiency of the process, particularly in heterogeneous porous media. In this work, the efficacy of ethanol/xanthan mixture (XE) in the recovery of a mixture of perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane sulfonate (PFHxS), and perfluorobutane sulfonate (PFBS) from soil has been tested at lab-scale. XE's non-Newtonian behavior was examined through rheological measurements, confirming that ethanol did not affect xanthan gum's (XG) shear-thinning behavior. The recovery of PFAS in batch-desorption exceeded 95\u00a0% in ethanol, and 99\u00a0% in XE, except for PFBS which reached 94\u00a0%. 1D-column experiments revealed overshoots in PFAS breakthrough curves during ethanol and XE injection, due to over-solubilization. XE, (XG 0.05\u00a0% w/w) could recover 99\u00a0% PFOA, 98\u00a0% PFBS, 97\u00a0% PFHxS, and 92\u00a0% PFOS. Numerical modeling successfully reproduces breakthrough curves for PFOA, PFHxS, and PFBS with the convection-dispersion-sorption equation and Langmuir sorption isotherm.", "keywords": ["Heterogeneity of porous media", "628", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Desorption", "551", "Alcohol", "Poly- and perfluoroalkyl substances (PFAS)", "Non-Newtonian fluids (NNF)"]}, "links": [{"href": "https://doi.org/39561539"}, {"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": "39561539", "name": "item", "description": "39561539", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/39561539"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.STU%5DSciences+of+the+Universe+%5Bphysics%5D%2FEarth+Sciences&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=%5BSDU.STU%5DSciences+of+the+Universe+%5Bphysics%5D%2FEarth+Sciences&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=%5BSDU.STU%5DSciences+of+the+Universe+%5Bphysics%5D%2FEarth+Sciences&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.STU%5DSciences+of+the+Universe+%5Bphysics%5D%2FEarth+Sciences&offset=34", "hreflang": "en-US"}], "numberMatched": 34, "numberReturned": 34, "distributedFeatures": [], "timeStamp": "2026-05-24T22:56:16.398147Z"}