{"type": "FeatureCollection", "features": [{"id": "10.1038/s41598-019-56868-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:26Z", "type": "Journal Article", "created": "2020-01-09", "title": "Modelling photovoltaic soiling losses through optical characterization", "description": "Abstract<p>The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soiling disproportionately impacts the blue and ultraviolet (UV) portions of the spectrum compared to the visible and infrared (IR). Also, the general shape of the transmittance spectra was similar at all the studied sites and could adequately be described by a modified form of the \uffc3\uff85ngstr\uffc3\uffb6m turbidity equation. In addition, the distribution of particles sizes was found to follow the IEST-STD-CC 1246E cleanliness standard. The fractional coverage of the glass surface by particles could be determined directly or indirectly and, as expected, has a linear correlation with the transmittance. It thus becomes feasible to estimate the optical consequences of the soiling of PV modules from the particle size distribution and the cleanliness value.</p>", "keywords": ["Photovoltaic Arrays", "Cleanliness", "Particle", "PV", "02 engineering and technology", "Oceanography", "7. Clean energy", "soiling; experimental; transmittance; spectrum", "Turbidity", "Size", "Materials Science and Engineering", "\u00c5ngstr\u00f6m turbidity equation", "Transmittance", "0202 electrical engineering", " electronic engineering", " information engineering", "Photovoltaic system", "Ultraviolet", "Microscopy", "Soiling", "Energy", "Ecology", "Physics", "Q", "R", "Imaging and sensing", "Geology", "Particle size", "6. Clean water", "Photovoltaic Efficiency", "Chemistry", "Physical chemistry", "Particle (ecology)", "Physical Sciences", "Sunlight", "Medicine", "Infrared", "570", "Particle-size distribution", "PV System", "Energy science and technology", "Science", "Optical spectroscopy", "Partial Shading", "530", "Modelling", "Article", "Environmental science", "Techniques and instrumentation", "Optical physics", "Meteorology", "Artificial Intelligence", "Machine Learning Methods for Solar Radiation Forecasting", "Optical techniques", "Optoelectronics", "Aerosol", "Biology", "Renewable Energy", " Sustainability and the Environment", "Electronics", " photonics and device physics", "Building Integrated Photovoltaics", "Optics", "Photovoltaic Maximum Power Point Tracking Techniques", "FOS: Earth and related environmental sciences", "Materials science", "Photovoltaics", "Optics and photonics", "13. Climate action", "FOS: Biological sciences", "Computer Science", "Solar Thermal Energy Technologies"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625670/2/Smestad_Modelling_2020.pdf"}, {"href": "https://www.nature.com/articles/s41598-019-56868-z.pdf"}, {"href": "https://doi.org/10.1038/s41598-019-56868-z"}, {"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/s41598-019-56868-z", "name": "item", "description": "10.1038/s41598-019-56868-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-019-56868-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-09T00:00:00Z"}}, {"id": "10.1038/s41598-023-31334-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:27Z", "type": "Journal Article", "created": "2023-03-27", "title": "Modelling the impact of historic landscape change on soil erosion and degradation", "description": "Abstract<p>International policies and guidelines often highlight the divide between \uffe2\uff80\uff98nature\uffe2\uff80\uff99 and \uffe2\uff80\uff98heritage\uffe2\uff80\uff99 in landscape management, and the weakness of monodisciplinary approaches. This study argues that historic agricultural practices have played a key role in shaping today\uffe2\uff80\uff99s landscapes, creating a heritage which affords opportunities for more sustainable landscape management. The paper develops a new interdisciplinary approach with particular reference to soil loss and degradation over the long term. It presents innovative methods for assessing and modelling how pre-industrial agricultural features can mitigate soil erosion risk in response to current environmental conditions. Landscape archaeology data presented through Historic Landscape Characterisation are integrated in a GIS-RUSLE model to illustrate the impact of varying historic land-uses on soil erosion. The resulting analyses could be used to inform strategies for sustainable land resource planning.</p", "keywords": ["2. Zero hunger", "MCC", "GE", "330", "Science", "Q", "R", "DAS", "CC Archaeology", "15. Life on land", "CC", "333", "Article", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "Medicine", "SDG 2 - Zero Hunger", "soil erosion; geomorphology; landscape archaeology; gis modelling", "GE Environmental Sciences", "SDG 15 - Life on Land"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1157142/2/s41598-023-31334-z.pdf"}, {"href": "https://www.nature.com/articles/s41598-023-31334-z.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=290514/25AE1152-3C53-4F19-82F7-C273FA162B1A.pdf&pub_id=290514"}, {"href": "https://doi.org/10.1038/s41598-023-31334-z"}, {"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/s41598-023-31334-z", "name": "item", "description": "10.1038/s41598-023-31334-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-023-31334-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-27T00:00:00Z"}}, {"id": "10.1046/j.0016-8025.2001.00800.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:31Z", "type": "Journal Article", "created": "2003-03-12", "title": "Effects Of Long-Term Exposure To Elevated Co2 And N Fertilization On The Development Of Photosynthetic Capacity And Biomass Accumulation In Quercus Suber L.", "description": "Abstract<p>The effects of long\uffe2\uff80\uff90term (4 year) CO2 enrichment (70\uffe2\uff80\uff83Pa versus 35\uffe2\uff80\uff83Pa) and nitrogen nutrition (8\uffe2\uff80\uff83mm versus 1\uffe2\uff80\uff83mm NO3\uffe2\uff80\uff93) on biomass accumulation and the development of photosynthetic capacity in leaves of cork oak (Quercus suber L., a Mediterranean evergreen tree) were studied. The evolution of photosynthetic parameters with leaf development was estimated by fitting the biochemical model of Farquhar et al. (Planta 149, 78\uffe2\uff80\uff9390, 1980) with modifications by Sharkey (Botanical Review 78, 71\uffe2\uff80\uff9375, 1985) to A\uffe2\uff80\uff93Ci response curves. CO2 enrichment had a small reduction effect on the development of the maximum CO2 fixation capacity by Rubisco (VCmax), and no effect over maximum electron transport capacity (Jmax), day\uffe2\uff80\uff90time respiration (Rd) and Triose\uffe2\uff80\uff90P utilization (TPU). However, there was a statistically significant effect of N fertilization and the interaction CO2\uffe2\uff80\uff83\uffc3\uff97\uffe2\uff80\uff83N over the evolution of VCmax, Jmax and TPU. Relative stomatal limitation (estimated from A\uffe2\uff80\uff93Ci curves) was higher (+20%) for plants grown under ambient CO2 than for plants grown under elevated CO2. There was a significant effect of CO2 and N fertilization over total biomass accumulation as well as leaf area. Plants grown at elevated CO2 had 27% more biomass than plants grown at ambient CO2 when given high N. However, for plants grown under low N there was no significant effect of CO2 enrichment on biomass accumulation. Plants grown under low N also had significantly higher root\uffe2\uff80\uff83:\uffe2\uff80\uff83shoot ratios whereas there were no differences between CO2 treatments. The larger biomass accumulation of Q. suber under elevated CO2 is attributable to a higher availability of CO2 coupled to a larger leaf area, with no significant decrease in photosynthetic capacity under CO2 enrichment and elevated N fertilization. For low N fertilization, the effects of CO2 enrichment over leaf area and biomass accumulation are lost, suggesting that in native ecosystems with low N availability, the effects of CO2 enrichment may be insignificant.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Cork-oak (Quercus suber L);", "0401 agriculture", " forestry", " and fisheries", "Growth", "04 agricultural and veterinary sciences", "Photosynthesis", "15. Life on land", "Long-term CO2 enrichment", "N fertilization", "01 natural sciences", "Modelling"]}, "links": [{"href": "https://doi.org/10.1046/j.0016-8025.2001.00800.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Cell%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.0016-8025.2001.00800.x", "name": "item", "description": "10.1046/j.0016-8025.2001.00800.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.0016-8025.2001.00800.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-01-01T00:00:00Z"}}, {"id": "10.1071/WF16198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:38Z", "type": "Journal Article", "created": "2017-10-31", "title": "Downward spread of smouldering peat fire: the role of moisture, density and oxygen supply", "description": "<p>Smouldering fires in peatland are different from the flames in wildland fires. Smouldering peat fire is slow, low-temperature and more persistent, releasing large amounts of smoke into the atmosphere. In this work, we experimentally and computationally investigate the vertical downward spread of smouldering fire in a column of 30cm-tall moss peat under variable moisture content (MC) and bulk density. The measured downward spread rate decreases with depth and wet bulk density, and is ~1cmh\uffe2\uff88\uff921 equivalent to a carbon emission flux of 200 tonnesday\uffe2\uff88\uff921ha\uffe2\uff88\uff921. We observe that downward spread increases as MC increases substantially at least inside the range from 10 to 70%, which is not intuitive and goes against the trend observed for the horizontal spread in the same peat. We also conduct one-dimensional computational simulations to successfully reproduce the experimental observations. The analysis shows that the spread rate increases with MC and decreases with density because smouldering spread is controlled by the oxygen supply. The volume of the porous peat expands when absorbing water, which reduces the density of organic matter and decreases the heat release rate. This shows that the widely assumed conclusion that the spread rate of wildfire decreases with MC is not universal when applied to smouldering fires.</p>", "keywords": ["WILDFIRES", "Science & Technology", "0602 Ecology", "fire spread rate", "Forestry", "BURN", "in-depth spread", "624", "15. Life on land", "01 natural sciences", "7. Clean energy", "BIOMASS", "modelling", "COMBUSTION", "IGNITION", "13. Climate action", "DEPTH", "carbon emission", "0705 Forestry Sciences", "peatland", "ORGANIC SOILS", "0502 Environmental Science And Management", "Life Sciences & Biomedicine", "KINETICS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.publish.csiro.au/WF/pdf/WF16198"}, {"href": "https://doi.org/10.1071/WF16198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Wildland%20Fire", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/WF16198", "name": "item", "description": "10.1071/WF16198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/WF16198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.1071/cp08397", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:39Z", "type": "Journal Article", "created": "2009-06-12", "title": "Do Spring Cover Crops Rob Water And So Reduce Wheat Yields In The Northern Grain Zone Of Eastern Australia?", "description": "<p>  During the 14-month-long fallow that arises when moving from summer to winter crops, stubble breakdown can denude the soil surface and leave it vulnerable to erosion. Cover crops of millet have been proposed as a solution, but this then raises the question, how often is there sufficient water in the system to grow a cover crop without reducing the soil water reserves to the point of prejudicing the following wheat crop? An on-farm research approach was used to compare the traditional long fallow (TF) with a millet fallow (MF) in a total of 31 commercial paddocks over 3 years. Each treatment was simulated using the simulation-modelling framework (APSIM) to investigate the outcomes over a longer timeframe and to determine how often a millet fallow could be successfully included within the farming system. The on-farm trials showed that early-sown millet cover crops removed before December had no effect on wheat yield, but this was not true of millet cover crops that were allowed to grow through to maturity. Long-term simulations estimated that a spring cover crop of millet would adversely affect wheat yields in only 2% of years if planted early and removed after 50% cover had been achieved. </p>", "keywords": ["2. Zero hunger", "Simulation modelling", "Methods and systems of culture. Cropping systems", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1071/cp08397"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Crop%20and%20Pasture%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/cp08397", "name": "item", "description": "10.1071/cp08397", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/cp08397"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-01-01T00:00:00Z"}}, {"id": "10.1080/1062936x.2023.2254225", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:18:54Z", "type": "Journal Article", "created": "2023-09-06", "title": "What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques", "description": "Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite the general desire of minimizing animal testing. Predictive models, specifically machine learning (ML) methods, are one of the tools capable of solving this apparent contradiction as they allow to generalize toxicity patterns across chemicals and species. However, despite the availability of large public toxicity datasets, the data is highly sparse, complicating model development. The aim of this study is to provide insights into how ML can predict toxicity using a large but sparse dataset. We developed models to predict LC50-values, based on experimental LC50-data covering 2431 organic chemicals and 1506 aquatic species from the ECOTOX-database. Several well-known ML techniques were evaluated and a new ML model was developed, inspired by recommender systems. This new model involves a simple linear model that learns low-rank interactions between species and chemicals using factorization machines. We evaluated the predictive performances of the developed models based on two validation settings: 1) predicting unseen chemical-species pairs, and 2) predicting unseen chemicals. The results of this study show that ML models can accurately predict LC50-values in both validation settings. Moreover, we show that the novel factorization machine approach can match well-tuned, complex, ML approaches.", "keywords": ["modelling", "Machine Learning", "machine learning", "Machine learning", "Animals", "Quantitative Structure-Activity Relationship", "prediction", "Ecotoxicology", "LC50", "aquatic toxicity", "species sensitivity"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2023.2254225"}, {"href": "https://doi.org/10.1080/1062936x.2023.2254225"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SAR%20and%20QSAR%20in%20Environmental%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/1062936x.2023.2254225", "name": "item", "description": "10.1080/1062936x.2023.2254225", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/1062936x.2023.2254225"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-06T00:00:00Z"}}, {"id": "10.1111/gcb.15817", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:23Z", "type": "Journal Article", "created": "2021-08-05", "title": "Predicting ecosystem responses by data\u2010driven reciprocal modelling", "description": "Abstract<p>Treatment effects are traditionally quantified in controlled experiments. However, experimental control is often achieved at the expense of representativeness. Here, we present a data\uffe2\uff80\uff90driven reciprocal modelling framework to quantify the individual effects of environmental treatments under field conditions. The framework requires a representative survey data set describing the treatment (A or B), its responding target variable and other environmental properties that cause variability of the target within the region or population studied. A machine learning model is trained to predict the target only based on observations in group A. This model is then applied to group B, with predictions restricted to the model's space of applicability. The resulting residuals represent case\uffe2\uff80\uff90specific effect size estimates and thus provide a quantification of treatment effects. This paper illustrates the new concept of such data\uffe2\uff80\uff90driven reciprocal modelling to estimate spatially explicit effects of land\uffe2\uff80\uff90use change on organic carbon stocks in European agricultural soils. For many environmental treatments, the proposed concept can provide accurate effect size estimates that are more representative than could feasibly ever be achieved with controlled experiments.</p", "keywords": ["Carbon Sequestration", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "causation", "land-use change", "soil organic carbon", "Soil", "machine learning", "correlation", "statistical modelling", "0401 agriculture", " forestry", " and fisheries", "Ecosystem"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15817"}, {"href": "https://doi.org/10.1111/gcb.15817"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.15817", "name": "item", "description": "10.1111/gcb.15817", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.15817"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-14T00:00:00Z"}}, {"id": "2318/1945820", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:40Z", "type": "Journal Article", "created": "2023-09-15", "title": "Testing CASE: A new event\u2010based Morgan\u2010Morgan\u2010Finney\u2010type erosion model for different rainfall experimental scenarios", "description": "Abstract<p>Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.</p", "keywords": ["Revised Morgan-Morgan-Finney model", "Model calibration", "Model validation", "Morgan-Morgan-Finney model", "Erosion modelling", "CASE; erosion modelling; model calibration; model validation; Morgan-Morgan-Finney model; pedotransfer function; revised Morgan-Morgan-Finney model; surface runoff", "CASE", "15. Life on land", "Pedotransfer function", "Surface runoff"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1945820/1/A54%20HydrProc%20Brunner.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14966"}, {"href": "https://doi.org/2318/1945820"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2318/1945820", "name": "item", "description": "2318/1945820", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2318/1945820"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/adfe83", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:59Z", "type": "Journal Article", "created": "2025-09-02", "title": "Mining global soil carbon datasets: can modern machine learning uncover the missing pieces of process-based models?", "description": "Abstract                <p>The future of terrestrial soil carbon stocks plays a crucial role in climate change prediction. Modern machine learning techniques are now widely applied in soil science to predict the spatial distribution of soil properties from observational data. Beyond prediction, the use of machine learning as a data-mining tool offers a promising pathway for improving soil carbon modelling and refining projections of climate\uffe2\uff80\uff93carbon feedbacks. In this paper, we review recent advances in the application of machine learning to global soil carbon modelling as a data-mining tool and highlight its potential to drive an iterative feedback loop that improves the representation of soil carbon dynamics in Earth System Models.</p", "keywords": ["machine learning", "data-mining", "global soil carbon map", "global soil carbon modelling", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]", "FairCarboN", "[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis", " Statistics and Probability [physics.data-an]", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/adfe83"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/adfe83", "name": "item", "description": "10.1088/1748-9326/adfe83", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/adfe83"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-02T00:00:00Z"}}, {"id": "10.1098/rspa.2017.0178", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:07Z", "type": "Journal Article", "created": "2017-11-22", "title": "Fluid flow in porous media using image-based modelling to parametrize Richards' equation", "description": "<p>The parameters in Richards' equation are usually calculated from experimentally measured values of the soil\uffe2\uff80\uff93water characteristic curve and saturated hydraulic conductivity. The complex pore structures that often occur in porous media complicate such parametrization due to hysteresis between wetting and drying and the effects of tortuosity. Rather than estimate the parameters in Richards' equation from these indirect measurements, image-based modelling is used to investigate the relationship between the pore structure and the parameters. A three-dimensional, X-ray computed tomography image stack of a soil sample with voxel resolution of 6\uffe2\uff80\uff89\uffce\uffbcm has been used to create a computational mesh. The Cahn\uffe2\uff80\uff93Hilliard\uffe2\uff80\uff93Stokes equations for two-fluid flow, in this case water and air, were applied to this mesh and solved using the finite-element method in COMSOL Multiphysics. The upscaled parameters in Richards' equation are then obtained via homogenization. The effect on the soil\uffe2\uff80\uff93water retention curve due to three different contact angles, 0\uffc2\uffb0, 20\uffc2\uffb0 and 60\uffc2\uffb0, was also investigated. The results show that the pore structure affects the properties of the flow on the large scale, and different contact angles can change the parameters for Richards' equation.</p>", "keywords": ["0301 basic medicine", "Richards\u2019 equation", "330", "EP/M020355/1", "QH301 Biology", "530", "QH301", "03 medical and health sciences", "porous media", "646809DIMR", "Journal Article", "BB/L025620/1", "BB/J00868/1", "NE/L00237/1", "Research Articles", "0303 health sciences", "Civil_env_eng", "Natural Environment Research Council (NERC)", "621", "6. Clean water", "004", "620", "3. Good health", "image-based modelling", "Richards' equation", "Engineering and Physical Sciences Research Council (EPSRC)", "Biotechnology and Biological Sciences Research Council (BBSRC)", "BB/P004180/1", "BB/L025825/1", "European Research Council"]}, "links": [{"href": "https://repository.uwl.ac.uk/id/eprint/4979/1/20170178.full.pdf"}, {"href": "https://eprints.soton.ac.uk/415076/1/ImageBasedRichardsPRST.pdf"}, {"href": "https://eprints.soton.ac.uk/415076/2/SupplementaryFigure.pdf"}, {"href": "https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.2017.0178"}, {"href": "https://doi.org/10.1098/rspa.2017.0178"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A%3A%20Mathematical%2C%20Physical%20and%20Engineering%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rspa.2017.0178", "name": "item", "description": "10.1098/rspa.2017.0178", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rspa.2017.0178"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-01T00:00:00Z"}}, {"id": "10.1111/ddi.13146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:19:17Z", "type": "Journal Article", "created": "2020-09-02", "title": "Shifting aspect or elevation? The climate change response of ectotherms in a complex mountain topography", "description": "AbstractAim<p>Climate change is expected to cause mountain species to shift their ranges to higher elevations. Due to the decreasing amounts of habitats with increasing elevation, such shifts are likely to increase their extinction risk. Heterogeneous mountain topography, however, may reduce this risk by providing microclimatic conditions that can buffer macroclimatic warming or provide nearby refugia. As aspect strongly influences the local microclimate, we here assess whether shifts from warm south\uffe2\uff80\uff90exposed aspects to cool north\uffe2\uff80\uff90exposed aspects in response to climate change can compensate for an upward shift into cooler elevations.</p>Location<p>Switzerland, Swiss Alps.</p>Methods<p>We built ensemble distribution models using high\uffe2\uff80\uff90resolution climate data for two mountain\uffe2\uff80\uff90dwelling viviparous ectotherms, the Alpine salamander and the Common lizard, and projected them into various future scenarios to gain insights into distributional changes. We further compared elevation and aspect (northness) of current and predicted future locations to analyse preferences and future shifts.</p>Results<p>Future ranges were consistently decreasing for the lizard, but for the salamander they were highly variable, depending on the climate scenario and threshold rule. Aspect preferences were elevation\uffe2\uff80\uff90dependent: warmer, south\uffe2\uff80\uff90exposed microclimates were clearly preferred at higher compared to lower elevations. In terms of presence and future locations, we observed both elevational upward shifts and northward shifts in aspect. Under future conditions, the shift to cooler north\uffe2\uff80\uff90exposed aspects was particularly pronounced at already warmer lower elevations.</p>Main conclusions<p>For our study species, shifts in aspect and elevation are complementary strategies to mitigate climatic warming in the complex mountain topography. This complements the long\uffe2\uff80\uff90standing view of elevational upward shift being their only option to move into areas with suitable future climate. High\uffe2\uff80\uff90resolution climate data are critical in heterogeneous environments to identify microrefugia and thereby improving future impact assessments of climate change.</p>", "keywords": ["0106 biological sciences", "0301 basic medicine", "570", "4290733-0", "elevation", "aspect", "Modellierung", "4077275-5", "ddc:900", "01 natural sciences", "4128128-7", "10127 Institute of Evolutionary Biology and Environmental Studies", "03 medical and health sciences", "4170297-9", "Schweizer Alpen", "Anthropogene Klima\u00e4nderung", "Wechselwarme", "aspect; climate change; ectotherms; microrefugia; mountain topography; Salamandra atra; species distribution modelling; Switzerland; thresholds; Zootoca vivipara", "4189352-9", "shift", "15. Life on land", "reptile", "1105 Ecology", " Evolution", " Behavior and Systematics", "climate change", "Geschichte und Geografie", "900", "13. Climate action", "Anpassung", "570 Life sciences; biology", "590 Animals (Zoology)", "amphibian", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/785568/2/feldmeier%202020%20divers%20distrib.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13146"}, {"href": "https://doi.org/10.1111/ddi.13146"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Diversity%20and%20Distributions", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ddi.13146", "name": "item", "description": "10.1111/ddi.13146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ddi.13146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-26T00:00:00Z"}}, {"id": "10.1111/ejss.13330", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:18Z", "type": "Journal Article", "created": "2022-12-02", "title": "Multi\u2010modelling predictions show high uncertainty of required carbon input changes to reach a 4\u2030 target", "description": "Abstract<p>Soils store vast amounts of carbon (C) on land, and increasing soil organic carbon (SOC) stocks in already managed soils such as croplands may be one way to remove C from the atmosphere, thereby limiting subsequent warming. The main objective of this study was to estimate the amount of additional C input needed to annually increase SOC stocks by 4\uffe2\uff80\uffb0 at 16 long\uffe2\uff80\uff90term agricultural experiments in Europe, including exogenous organic matter (EOM) additions. We used an ensemble of six SOC models and ran them under two configurations: (1) with default parametrization and (2) with parameters calibrated site\uffe2\uff80\uff90by\uffe2\uff80\uff90site to fit the evolution of SOC stocks in the control treatments (without EOM). We compared model simulations and analysed the factors generating variability across models. The calibrated ensemble was able to reproduce the SOC stock evolution in the unfertilised control treatments. We found that, on average, the experimental sites needed an additional 1.5 \uffc2\uffb1\uffe2\uff80\uff891.2\uffc2\uffa0Mg C ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921 to increase SOC stocks by 4\uffe2\uff80\uffb0 per year over 30\uffe2\uff80\uff89years, compared to the C input in the control treatments (multi\uffe2\uff80\uff90model median \uffc2\uffb1 median standard deviation across sites). That is, a 119% increase compared to the control. While mean annual temperature, initial SOC stocks and initial C input had a significant effect on the variability of the predicted C input in the default configuration (i.e., the relative standard deviation of the predicted C input from the mean), only water\uffe2\uff80\uff90related variables (i.e., mean annual precipitation and potential evapotranspiration) explained the divergence between models when calibrated. Our work highlights the challenge of increasing SOC stocks in agriculture and accentuates the need to increasingly lean on multi\uffe2\uff80\uff90model ensembles when predicting SOC stock trends and related processes. To increase the reliability of SOC models under future climate change, we suggest model developers to better constrain the effect of water\uffe2\uff80\uff90related variables on SOC decomposition.</p>Highlights<p> <p>The feasibility of the 4\uffe2\uff80\uffb0 target was studied at 16 long\uffe2\uff80\uff90term agricultural experiments.</p> <p>An ensemble of soil organic carbon models was used to estimate the uncertainty of the predictions.</p> <p>On average across the sites, carbon input had to increase by 119% compared to initial conditions.</p> <p>High uncertainty of the simulations was mainly driven by water\uffe2\uff80\uff90related variables.</p> </p", "keywords": ["Carbon sequestration", "550", "multi-modelling", "630", "Climate change", "agriculture", "4 per 1000 initiative; agriculture; carbon sequestration; climate change; European targets; multi-modelling; soil organic carbon", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Soil organic carbon", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "soil organic carbon", "climate change", "4 per 1000 initiative", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Multi-modelling", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "European targets"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/912997/4/European%20J%20Soil%20Science%20-%202022%20-%20Bruni%20-%20Multi%e2%80%90modelling%20predictions%20show%20high%20uncertainty%20of%20required%20carbon%20input%20changes.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.13330"}, {"href": "https://doi.org/10.1111/ejss.13330"}, {"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.13330", "name": "item", "description": "10.1111/ejss.13330", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13330"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "10.1111/nph.17980", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:19:45Z", "type": "Journal Article", "created": "2022-01-19", "title": "Multimodal correlative imaging and modelling of phosphorus uptake from soil by hyphae of mycorrhizal fungi", "description": "Summary<p>   <p>Phosphorus (P) is essential for plant growth. Arbuscular mycorrhizal fungi (AMF) aid its uptake by acquiring P from sources distant from roots in return for carbon. Little is known about how AMF colonise soil pore\uffe2\uff80\uff90space, and models of AMF\uffe2\uff80\uff90enhanced P\uffe2\uff80\uff90uptake are poorly validated.</p>  <p>We used synchrotron X\uffe2\uff80\uff90ray computed tomography to visualize mycorrhizas in soil and synchrotron X\uffe2\uff80\uff90ray fluorescence/X\uffe2\uff80\uff90ray absorption near edge structure (XRF/XANES) elemental mapping for P, sulphur (S) and aluminium (Al) in combination with modelling.</p>  <p>We found that AMF inoculation had a suppressive effect on colonisation by other soil fungi and identified differences in structure and growth rate between hyphae of AMF and nonmycorrhizal fungi. Our results showed that AMF co\uffe2\uff80\uff90locate with areas of high P and low Al, and preferentially associate with organic\uffe2\uff80\uff90type P species over Al\uffe2\uff80\uff90rich inorganic P.</p>  <p>We discovered that AMF avoid Al\uffe2\uff80\uff90rich areas as a source of P. Sulphur\uffe2\uff80\uff90rich regions were found to be correlated with higher hyphal density and an increased organic\uffe2\uff80\uff90associated P\uffe2\uff80\uff90pool, whilst oxidized S\uffe2\uff80\uff90species were found close to AMF hyphae. Increased S oxidation close to AMF suggested the observed changes were microbiome\uffe2\uff80\uff90related. Our experimentally\uffe2\uff80\uff90validated model led to an estimate of P\uffe2\uff80\uff90uptake by AMF hyphae that is an order of magnitude lower than rates previously estimated \uffe2\uff80\uff93 a result with significant implications for the modelling of plant\uffe2\uff80\uff93soil\uffe2\uff80\uff93AMF interactions.</p>  </p", "keywords": ["580", "X-ray computed tomography", "570", "Research", "X-ray fluorescence", "Fungi", "Hyphae", "500", "Phosphorus", "mycorrhizas", "04 agricultural and veterinary sciences", "15. Life on land", "plant phosphorus uptake", "Plant Roots", "Soil", "rhizosphere modelling", "Mycorrhizae", "synchrotron", "0401 agriculture", " forestry", " and fisheries", "Soil Microbiology"]}, "links": [{"href": "https://eprints.soton.ac.uk/454110/1/Keyes_et_al_Myco_Paper_TR_04_01_2022_unmarked.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/2/Figures_TR_22_12_2021.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/3/SI_1_TR_22_12_2021_no_markup.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/4/SI_2_TR_22_12_2021.pdf"}, {"href": "https://doi.org/10.1111/nph.17980"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.17980", "name": "item", "description": "10.1111/nph.17980", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.17980"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-15T00:00:00Z"}}, {"id": "10.1111/ejss.13039", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:18Z", "type": "Journal Article", "created": "2021-07-02", "title": "Spatial evaluation and trade\u2010off analysis of soil functions through Bayesian networks", "description": "Abstract<p>There is increasing recognition that soils fulfil many functions for society. Each soil can deliver a range of functions, but some soils are more effective at some functions than others due to their intrinsic properties. In this study we mapped four different soil functions on agricultural lands across the European Union. For each soil function, indicators were developed to evaluate their performance. To calculate the indicators and assess the interdependencies between the soil functions, data from continental long\uffe2\uff80\uff90term simulation with the DayCent model were used to build crop\uffe2\uff80\uff90specific Bayesian networks. These Bayesian Networks were then used to calculate the soil functions' performance and trade\uffe2\uff80\uff90offs between the soil functions under current conditions. For each soil function the maximum potential was estimated across the European Union and changes in trade\uffe2\uff80\uff90offs were assessed. By deriving current and potential soil function delivery from Bayesian networks a better understanding is gained of how different soil functions and their interdependencies can differ depending on soil, climate and management.</p>Highlights<p><p>When increasing a soil function, how do trade\uffe2\uff80\uff90offs affect the other functions under different conditions?</p><p>Bayesian networks evaluate trade\uffe2\uff80\uff90offs between soil functions and estimate their maximal delivery.</p><p>Maximizing a soil function has varied effects on other functions depending on soil, climate and management.</p><p>Differences in trade\uffe2\uff80\uff90offs make some locations more suitable for increasing a soil function then others.</p></p", "keywords": ["2. Zero hunger", "DayCent", "maximization", "trade-offs", "soil function", "European Union", "mapping", "15. Life on land", "Bayesian modelling", "Biology", "01 natural sciences", "Bayesian modeling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/ejss.13039"}, {"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.13039", "name": "item", "description": "10.1111/ejss.13039", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13039"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-17T00:00:00Z"}}, {"id": "10.1111/geb.13371", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:25Z", "type": "Journal Article", "created": "2021-08-18", "title": "Large-scale drivers of relationships between soil microbial properties and organic carbon across Europe", "description": "AbstractAim<p>Quantify direct and indirect relationships between soil microbial community properties (potential basal respiration, microbial biomass) and abiotic factors (soil, climate) in three major land\uffe2\uff80\uff90cover types.</p>Location<p>Europe.</p>Time period<p>2018.</p>Major taxa studied<p>Microbial community (fungi and bacteria).</p>Methods<p>We collected 881 soil samples from across Europe in the framework of the Land Use/Land Cover Area Frame Survey (LUCAS). We measured potential soil basal respiration at 20\uffc2\uffa0\uffc2\uffbaC and microbial biomass (substrate\uffe2\uff80\uff90induced respiration) using an O2\uffe2\uff80\uff90microcompensation apparatus. Soil and climate data were obtained from the same LUCAS survey and online databases. Structural equation models (SEMs) were used to quantify relationships between variables, and equations extracted from SEMs were used to create predictive maps. Fatty acid methyl esters were measured in a subset of samples to distinguish fungal from bacterial biomass.</p>Results<p>Soil microbial properties in croplands were more heavily affected by climate variables than those in forests. Potential soil basal respiration and microbial biomass were correlated in forests but decoupled in grasslands and croplands, where microbial biomass depended on soil carbon. Forests had a higher ratio of fungi to bacteria than grasslands or croplands.</p>Main conclusions<p>Soil microbial communities in grasslands and croplands are likely carbon\uffe2\uff80\uff90limited in comparison with those in forests, and forests have a higher dominance of fungi indicating differences in microbial community composition. Notably, the often already\uffe2\uff80\uff90degraded soils of croplands could be more vulnerable to climate change than more natural soils. The provided maps show potentially vulnerable areas that should be explicitly accounted for in future management plans to protect soil carbon and slow the increasing vulnerability of European soils to climate change.</p>", "keywords": ["2. Zero hunger", "570", "Land cover", "Take urgent action to combat climate change and its impacts", "Soil microbial biomass", "soil microbial respiration", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "04 agricultural and veterinary sciences", "structural equation modelling", "15. Life on land", "Soil carbon", "croplands", "soil microbial biomass", "Europe", "climate change", "land cover", "Structural equation modelling", "13. Climate action", "Climate change", "0401 agriculture", " forestry", " and fisheries", "http://metadata.un.org/sdg/13", "Croplands", "soil carbon", "Soil microbial respiration"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.13371"}, {"href": "https://doi.org/10.1111/geb.13371"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Ecology%20and%20Biogeography", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/geb.13371", "name": "item", "description": "10.1111/geb.13371", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/geb.13371"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:43Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "<p>Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.</p>", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"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/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2011.02585.x", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-24T16:19:33Z", "type": "Journal Article", "created": "2011-10-24", "title": "High Nitrogen Deposition Alters The Decomposition Of Bog Plant Litter And Reduces Carbon Accumulation", "description": "Abstract<p>Bogs are globally important sinks of atmospheric carbon (C) due to the accumulation of partially decomposed litter that forms peat. Because bogs receive their nutrients from the atmosphere, the world\uffe2\uff80\uff90wide increase of nitrogen (N) deposition is expected to affect litter decomposition and, ultimately, the rate of C accumulation. However, the mechanism of such biogeochemical alteration remains unclear and quantification of the effect of N addition on litter accumulation has yet to be done. Here, we show that 7\uffc2\uffa0years of N addition to a bog decreased the C\uffc2\uffa0:\uffc2\uffa0N ratio, increased the bacterial biomass and stimulated the activity of hydrolytic and oxidative enzymes in surface peat. Furthermore, N addition modified nutrient limitation of microbes during litter decomposition so that phosphorus became a primary limiting nutrient. Alteration of N release from decomposing litter affected bog water chemistry and the competitive balance between peat\uffe2\uff80\uff90forming mosses and vascular plants. We estimate that deposition of about 4 g\uffc2\uffa0N\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0yr\uffe2\uff88\uff921 will cause a mean annual reduction of fresh litter C accumulation of about 40\uffc2\uffa0g\uffc2\uffa0m\uffe2\uff88\uff922 primarily as a consequence of decreased litter production from peat\uffe2\uff80\uff90forming mosses. Our findings show that N deposition interacts with both above and below ground components of biodiversity to threaten the ability of bogs to act as N\uffe2\uff80\uff90sinks, which may offset the positive effects of N on C accumulation seen in other ecosystems.</p>", "keywords": ["570", "Decomposition; litter accumulation modelling; microbial diversity; peatland; primary production; soil enzymatic activity; Sphagnum; vascular plants", "decomposition", "04 agricultural and veterinary sciences", "litter accumulation modelling", "soil enzymatic activity", "15. Life on land", "S phagnum", "13. Climate action", "microbial diversity", "0401 agriculture", " forestry", " and fisheries", "peatland", "vascular plants", "primary production"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2011.02585.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2011.02585.x", "name": "item", "description": "10.1111/j.1365-2486.2011.02585.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2011.02585.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-23T00:00:00Z"}}, {"id": "10.1111/j.1757-1707.2010.01033.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:19:42Z", "type": "Journal Article", "created": "2010-02-03", "title": "The Potential Of Miscanthus To Sequester Carbon In Soils: Comparing Field Measurements In Carlow, Ireland To Model Predictions", "description": "Abstract<p>Growing bioenergy crops such as Miscanthus has the potential to mitigate atmospheric carbon dioxide emissions by the replacement of fossil fuels and by storing carbon (C) in the soil due to land use change. Here we compare direct measurements of soil organic C fractions made in Carlow (Ireland) to model predictions made by RothC and a cohort model. Our results show that when Miscanthus is grown on land previously under arable agriculture, the soil organic C will increase to a level above that of native pasture, as Miscanthus organic material is shown to have a slow decomposition rate. In addition we demonstrate that for measured organic C, fractions of different lability are similar to the C pools used in RothC. Using the model predictions from RothC and Miscanthus yields from MISCANFOR, we predict that in Ireland, changing the land use from arable to Miscanthus plantations has the potential to store between 2 and 3\uffe2\uff80\uff83Mg\uffe2\uff80\uff83C\uffe2\uff80\uff83ha\uffe2\uff88\uff921\uffe2\uff80\uff83y\uffe2\uff88\uff921 depending on the crop yield and the initial soil organic C level.</p>", "keywords": ["2. Zero hunger", "550", "Miscanthus", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "7. Clean energy", "01 natural sciences", "Energy crops", "Modelling", "13. Climate action", "Greenhouse gas emissions", "Climate change", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1757-1707.2010.01033.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1757-1707.2010.01033.x", "name": "item", "description": "10.1111/j.1757-1707.2010.01033.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1757-1707.2010.01033.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-01T00:00:00Z"}}, {"id": "10.1111/nph.14705", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:19:44Z", "type": "Journal Article", "created": "2017-07-31", "title": "High-resolution synchrotron imaging shows that root hairs influence rhizosphere soil structure formation", "description": "Summary<p>   <p>In this paper, we provide direct evidence of the importance of root hairs on pore structure development at the root\uffe2\uff80\uff93soil interface during the early stage of crop establishment.</p>  <p>This was achieved by use of high\uffe2\uff80\uff90resolution (c. 5\uffc2\uffa0\uffce\uffbcm) synchrotron radiation computed tomography (SRCT) to visualise both the structure of root hairs and the soil pore structure in plant\uffe2\uff80\uff93soil microcosms. Two contrasting genotypes of barley (Hordeum vulgare), with and without root hairs, were grown for 8\uffc2\uffa0d in microcosms packed with sandy loam soil at 1.2\uffc2\uffa0g\uffc2\uffa0cm\uffe2\uff88\uff923 dry bulk density. Root hairs were visualised within air\uffe2\uff80\uff90filled pore spaces, but not in the fine\uffe2\uff80\uff90textured soil regions.</p>  <p>We found that the genotype with root hairs significantly altered the porosity and connectivity of the detectable pore space (&gt;\uffc2\uffa05\uffc2\uffa0\uffce\uffbcm) in the rhizosphere, as compared with the no\uffe2\uff80\uff90hair mutants. Both genotypes showed decreasing pore space between 0.8 and 0.1\uffc2\uffa0mm from the root surface. Interestingly the root\uffe2\uff80\uff90hair\uffe2\uff80\uff90bearing genotype had a significantly greater soil pore volume\uffe2\uff80\uff90fraction at the root\uffe2\uff80\uff93soil interface.</p>  <p>Effects of pore structure on diffusion and permeability were estimated to be functionally insignificant under saturated conditions when simulated using image\uffe2\uff80\uff90based modelling.</p>  </p>", "keywords": ["construction", "EP/M020355/1", "QH301 Biology", "non-invasive imaging", "Plant Roots", "630", "root hairs", "noninvasive imaging", "QH301", "Soil", "Imaging", " Three-Dimensional", "646809DIMR", "synchrotron", "Computer Simulation", "BB/L025620/1", "BB/J00868/1", "NE/L00237/1", "Hordeum vulgare", "580", "2. Zero hunger", "Civil_env_eng", "Natural Environment Research Council (NERC)", "Research", "Hordeum", "04 agricultural and veterinary sciences", "15. Life on land", "image-based modelling", "Engineering and Physical Sciences Research Council (EPSRC)", "Rhizosphere", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "rhizosphere", "soil structure", "synchroton", "Porosity", "BB/P004180/1", "Synchrotrons", "BB/L025825/1", "European Research Council"]}, "links": [{"href": "https://repository.uwl.ac.uk/id/eprint/4981/1/Koebernick_et_al-2017-New_Phytologist.pdf"}, {"href": "https://eprints.soton.ac.uk/412143/1/s1_ln2680534218582232741703867393Hwf_1771574461IdV_16951475526805342FIRST_LOOK_PDF0001.pdf"}, {"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.14705"}, {"href": "https://doi.org/10.1111/nph.14705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.14705", "name": "item", "description": "10.1111/nph.14705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.14705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-31T00:00:00Z"}}, {"id": "10.1590/s0103-90162008000300009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:26Z", "type": "Journal Article", "created": "2008-07-10", "title": "Changes In Soil Organic Matter Under Different Land Management In Misiones Province (Argentina)", "description": "<p>Highly weathered tropical soils rapidly loose soil organic matter (SOM) and may be affected by water erosion and soil compaction after deforestation and intensive cultivation. With the main objective to estimate the SOM balances in a subtropical soil we determined the dynamics of SOM in a degraded yerba mate (Ilex paraguaiensis Saint Hil.) plantation introduced after deforestation and with elephant grass (Pennisetum purpureum L.) as a cover crop. The study site was in Misiones, Argentina, and we use the natural 13C abundance methodology and a descriptive model. The study was conducted on three contiguous 50 x 100 m plots of a typic Kandihumult soil with: (i) native forest, (ii) 50 years of continuous yerba mate monoculture with intensive tillage, and (iii) yerba mate associated with elephant grass as a cover crop and no tillage. We determined bulk density, carbon (C), nitrogen (N) and 13C content of the soil (0 - 0.05, 0.05 - 0.15 m layers) and the grass biomass. Yerba mate monoculture reduced soil C and N content as well as porosity at 0 - 0.15 m depth by 43 and 23%, respectively, as compared to the native forest. After ten years of yerba mate - elephant grass association soil C and N contents at the same depth increased by 19 and 12%, respectively, compared to the yerba mate monoculture, while soil porosity remained similar. Total C input,13C, and soil organic C were incorporated into a three compartment model to evaluate elephant grass C dynamics. Through the natural 13C abundance methodology we tracked the elephant grass C incorporation and the 'old' soil C loss, and determined the model parameters - humification (k1) and mineralization (k) coefficients and stable C (Cs)- unambiguously. The high k1 and k predicted by the model are probably explained by elephant grass root system incorporation under no tillage and humid subtropical climate, respectively. In soil under yerba mate monoculture, Cs was counted as 91% of the total soil organic C.</p>", "keywords": ["2. Zero hunger", "Ilex paraguaiensis;Pennisetum purpureum;natural C-13 abundance;soil carbon;modelling", "sol", "550", "carbono do solo", "[SDV]Life Sciences [q-bio]", "argentine", "culture intensive", "04 agricultural and veterinary sciences", "15. Life on land", "630", "[SDV] Life Sciences [q-bio]", "Pennisetum purpureum", "modelling", "Ilex paraguaiensis", "natural C-13 abundance", "mati\u00e8re organique", "modeliza\u00e7\u00e3o", "biomasse", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "am\u00e9rique du sud", "abund\u00e2ncia natural em 13C", "natural 13C abundance"], "contacts": [{"organization": "Piccolo, Gabriel Agust\u00edn, Andriulo, Adri\u00e1n Enrique, Mary, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s0103-90162008000300009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientia%20Agricola", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0103-90162008000300009", "name": "item", "description": "10.1590/s0103-90162008000300009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0103-90162008000300009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.1680/jgeot.19.p.393", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:20:28Z", "type": "Journal Article", "created": "2020-07-06", "title": "Tunnel\u2013framed building interaction: comparison between raft and separate footing foundations", "description": "<p>In this paper, the influence of the foundation configuration (raft or separate footings) on tunnel\uffe2\uff80\uff93soil\uffe2\uff80\uff93framed building interaction is investigated using geotechnical centrifuge testing. Tunnelling-induced soil movements and deformation fields, framed building displacements and structure shear distortions (with associated modification factors) are illustrated. Framed building stiffness and footing bearing capacity are also evaluated experimentally. Results show that the foundation configuration plays an important role in determining the ground response to tunnelling, affecting soil displacement fields, as well as the distribution of soil shear and volumetric strains. In particular, foundation settlements and differential horizontal displacements are larger for separate footings compared to raft foundations. The effects of building width, weight and eccentricity (with respect to the tunnel) on foundation settlements and structural distortions are quantified for separate footings and contrasted against results for raft foundations. The modification factor of the maximum building shear distortion is linked to the relative soil\uffe2\uff80\uff93building shear stiffness; interestingly, for buildings with similar values of relative stiffness, the level of shear distortion within framed buildings is lower for separate footings than rafts.</p>", "keywords": ["settlement", "soil/structure interaction", "footings/foundations", "deformation", "centrifuge modelling; deformation; footings/foundations; settlement; soil/structure interaction; tunnels & tunnelling", "Ingenier\u00eda Civil y de la Construcci\u00f3n", "centrifuge modelling", "tunnels &amp; tunnelling"]}, "links": [{"href": "https://www.icevirtuallibrary.com/doi/pdf/10.1680/jgeot.19.P.393"}, {"href": "https://iris.uniroma1.it/bitstream/11573/1552823/3/Xu_Tunnel%e2%80%93framed-building_preprint_2021.pdf"}, {"href": "https://doi.org/10.1680/jgeot.19.p.393"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/G%C3%A9otechnique", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1680/jgeot.19.p.393", "name": "item", "description": "10.1680/jgeot.19.p.393", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1680/jgeot.19.p.393"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}, {"id": "10.1680/jgeot.20.p.250", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:20:28Z", "type": "Journal Article", "created": "2021-01-19", "title": "Static and dynamic lateral non-linear pile\u2013soil\u2013pile interaction", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p> Three-dimensional finite-element analyses are performed to compute the interaction factors between two neighbouring piles, under both static and dynamic horizontal displacements. The fixed-head elastic piles are flexible, embedded in a homogeneous saturated clay stratum, and loaded under undrained conditions. Soil inelasticity and soil\u2013pile interface separation are modelled in a rational way. With the aim of improving fundamental understanding of pile\u2013soil\u2013pile non-linear interaction mechanisms, it is found that the effect of a loaded (\u2018source\u2019) pile on an adjacent (\u2018receiver\u2019) pile diminishes rapidly with increasing amplitude of imposed displacement, at a rate which depends on the angle of departure from the direction of loading between source and receiver piles. Gap formation at the back of a displaced pile affects the response of the group. Using the interaction factors developed, the behaviour of 2\u200a\u00d7\u200a2 and 3\u200a\u00d7\u200a3 pile groups is analysed and compared with the three-dimensional analysis of the whole group. Under static conditions the differences between front (\u2018leading\u2019) and back (\u2018trailing\u2019) piles are illustrated. Under cyclic dynamic conditions, the separation gap forms on each side of a pile alternately, leading to the peaks in stiffness diminishing, and leading to larger (than the elastic) group efficiencies. Superposition using proper non-linear interaction factors offers reasonable approximation, but only for moderate amplitudes of load, smaller than about one-half of the ultimate lateral pile capacity. </p></article>", "keywords": ["dynamics; finite-element modelling; numerical modelling; piles & piling; soil/structure interaction; stiffness; vibration", "0211 other engineering and technologies", "02 engineering and technology"]}, "links": [{"href": "https://www.icevirtuallibrary.com/doi/pdf/10.1680/jgeot.20.P.250"}, {"href": "https://doi.org/10.1680/jgeot.20.p.250"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/G%C3%A9otechnique", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1680/jgeot.20.p.250", "name": "item", "description": "10.1680/jgeot.20.p.250", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1680/jgeot.20.p.250"}, {"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": "10.17863/cam.81466", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:32Z", "type": "Journal Article", "created": "2022-01-19", "title": "Multimodal correlative imaging and modelling of phosphorus uptake from soil by hyphae of mycorrhizal fungi", "description": "Summary<p>   <p>Phosphorus (P) is essential for plant growth. Arbuscular mycorrhizal fungi (AMF) aid its uptake by acquiring P from sources distant from roots in return for carbon. Little is known about how AMF colonise soil pore\uffe2\uff80\uff90space, and models of AMF\uffe2\uff80\uff90enhanced P\uffe2\uff80\uff90uptake are poorly validated.</p>  <p>We used synchrotron X\uffe2\uff80\uff90ray computed tomography to visualize mycorrhizas in soil and synchrotron X\uffe2\uff80\uff90ray fluorescence/X\uffe2\uff80\uff90ray absorption near edge structure (XRF/XANES) elemental mapping for P, sulphur (S) and aluminium (Al) in combination with modelling.</p>  <p>We found that AMF inoculation had a suppressive effect on colonisation by other soil fungi and identified differences in structure and growth rate between hyphae of AMF and nonmycorrhizal fungi. Our results showed that AMF co\uffe2\uff80\uff90locate with areas of high P and low Al, and preferentially associate with organic\uffe2\uff80\uff90type P species over Al\uffe2\uff80\uff90rich inorganic P.</p>  <p>We discovered that AMF avoid Al\uffe2\uff80\uff90rich areas as a source of P. Sulphur\uffe2\uff80\uff90rich regions were found to be correlated with higher hyphal density and an increased organic\uffe2\uff80\uff90associated P\uffe2\uff80\uff90pool, whilst oxidized S\uffe2\uff80\uff90species were found close to AMF hyphae. Increased S oxidation close to AMF suggested the observed changes were microbiome\uffe2\uff80\uff90related. Our experimentally\uffe2\uff80\uff90validated model led to an estimate of P\uffe2\uff80\uff90uptake by AMF hyphae that is an order of magnitude lower than rates previously estimated \uffe2\uff80\uff93 a result with significant implications for the modelling of plant\uffe2\uff80\uff93soil\uffe2\uff80\uff93AMF interactions.</p>  </p>", "keywords": ["580", "X-ray computed tomography", "570", "Research", "X-ray fluorescence", "Fungi", "Hyphae", "500", "Phosphorus", "mycorrhizas", "04 agricultural and veterinary sciences", "15. Life on land", "plant phosphorus uptake", "Plant Roots", "Soil", "rhizosphere modelling", "Mycorrhizae", "synchrotron", "0401 agriculture", " forestry", " and fisheries", "Soil Microbiology"]}, "links": [{"href": "https://eprints.soton.ac.uk/454110/1/Keyes_et_al_Myco_Paper_TR_04_01_2022_unmarked.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/2/Figures_TR_22_12_2021.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/3/SI_1_TR_22_12_2021_no_markup.pdf"}, {"href": "https://eprints.soton.ac.uk/454110/4/SI_2_TR_22_12_2021.pdf"}, {"href": "https://doi.org/10.17863/cam.81466"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17863/cam.81466", "name": "item", "description": "10.17863/cam.81466", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17863/cam.81466"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-15T00:00:00Z"}}, {"id": "10.3390/land12051054", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:38Z", "type": "Journal Article", "created": "2023-05-12", "title": "The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Historic agricultural practices have played a dominant role in shaping landscapes, creating a heritage which must be understood and conserved from the perspective of sustainable development. Agroforestry (i.e., the practice of combining trees with agriculture or livestock) has existed since ancient times in European countries, and it has been recognised as one of the most resilient and multifunctional cultural landscapes, providing a wide range of economic, sociocultural, and environmental benefits. This research explores aspects of the history, physical characteristics, decline, and current state of conservation of historic agroforestry systems on the Northern Apennines in Italy, using an interdisciplinary approach combining archival sources, landscape archaeology, dendrochronology, and GIS analysis. Furthermore, through computer-based modelling, this research aims to evaluate how the abandonment of this historic rural land-use strategy impacted slope geomorphic processes over the long term. The importance of environmental values attached to traditional rural landscapes has received much attention even beyond the heritage sector, justifying the definition of transdisciplinary approaches necessary to ensure the holistic management of landscapes. Through the integration of the Unit Stream Power-Based Erosion Deposition (USPED) equation with landscape archaeological data, the paper shows how restoring the historic agroforestry landscape could significantly mitigate soil mass movements in the area. Thus, the interdisciplinary workflow proposed in this study enables a deep understanding of both the historical evolution of agroforestry systems and its resulting effects for cumulative soil erosion and deposition in the face of climate change.</p></article>", "keywords": ["2. Zero hunger", "S", "transdisciplinary landscape studies", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "remote sensing and GIS; historic landscape characterisation; slope processes; landscape archaeology; landscape modelling; transdisciplinary landscape studies; geomorphometry; alberata emiliana", "landscape archaeology", "13. Climate action", "remote sensing and GIS", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "slope processes", "historic landscape characterisation", "landscape modelling", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Filippo Brandolini, Chiara Compostella, Manuela Pelfini, Sam Turner,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/2/land-12-01054-v2.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/3/land-12-01054-v2_compressed.pdf"}, {"href": "https://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=291264/11B42E72-559A-4B2B-B355-0FF6E8B88A26.pdf&pub_id=291264"}, {"href": "https://doi.org/10.3390/land12051054"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land12051054", "name": "item", "description": "10.3390/land12051054", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land12051054"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-12T00:00:00Z"}}, {"id": "10.24057/2071-9388-2019-10", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:14Z", "type": "Journal Article", "created": "2019-11-26", "title": "Simultaneous assessment of the summer urban heat island in Moscow megacity based on in situ observations, thermal satellite images and mesoscale modeling", "description": "<p>This study compares three popular approaches to quantify the urban heat island (UHI) effect in Moscow megacity in a summer season (June-August 2015). The first approach uses the measurements of the near-surface air temperature obtained from weather stations, the second is based on remote sensing from thermal imagery of MODIS satellites, and the third is based on the numerical simulations with the mesoscale atmospheric model COSMO-CLM coupled with the urban canopy scheme TERRA_URB. The first approach allows studying the canopy-layer UHI (CLUHI, or anomaly of a near- surface air temperature), while the second allows studying the surface UHI (SUHI, or anomaly of a land surface temperature), and both types of the UHI could be simulated by the atmospheric model. These approaches were compared in the daytime, evening and nighttime conditions. The results of the study highlight a substantial difference between the SUHI and CLUHI in terms of the diurnal variation and spatial structure. The strongest differences are found at the daytime, at which the SUHI reaches the maximal intensity (up to 10\uffc2\uffb0\uffd0\uffa1) whereas the CLUHI reaches the minimum intensity (1.5\uffc2\uffb0\uffd0\uffa1). However, there is a stronger consistency between CLUHU and SUHI at night, when their intensities converge to 5\uffe2\uff80\uff936\uffc2\uffb0\uffd0\uffa1. In addition, the nighttime CLUHI and SUHI have similar monocentric spatial structure with a temperature maximum in the city center. The presented findings should be taken into account when interpreting and comparing the results of UHI studies, based on the different approaches. The mesoscale model reproduces the CLUHI-SUHI relationships and provides good agreement with in situ observations on the CLUHI spatiotemporal variations (with near-zero biases for daytime and nighttime CLUHI intensity and correlation coefficients more than 0.8 for CLUHI spatial patterns). However, the agreement of the simulated SUHI with the remote sensing data is lower than agreement of the simulated CLUHI with in situ measurements. Specifically, the model tends to overestimate the daytime SUHI intensity. These results indicate a need for further in-depth investigation of the model behavior and SUHI\uffe2\uff80\uff93CLUHI relationships in general.</p>", "keywords": ["modis", "Geography (General)", "COSMO", "suhi", "0207 environmental engineering", "uhi", "land surface temperature", "UHI", "urban heat island", "moscow", "02 engineering and technology", "Moscow", "01 natural sciences", "thermal satellite images", "remote sensing", "MODIS", "13. Climate action", "Earth and Environmental Sciences", "SUHI", "cosmo", "urban climate", "11. Sustainability", "G1-922", "mesoscale modelling", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Varentsov, Mikhail I., Grishchenko, Mikhail Y., Wouters, Hendrik,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.24057/2071-9388-2019-10"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GEOGRAPHY%2C%20ENVIRONMENT%2C%20SUSTAINABILITY", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.24057/2071-9388-2019-10", "name": "item", "description": "10.24057/2071-9388-2019-10", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.24057/2071-9388-2019-10"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-31T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:05Z", "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": "10.2166/wst.2022.179", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:07Z", "type": "Journal Article", "created": "2022-06-01", "title": "Comparison of simple models for total nitrogen removal from agricultural runoff in FWS wetlands", "description": "Abstract                <p>Free water surface (FWS) wetlands can be used to treat agricultural runoff, thereby reducing diffuse pollution. However, as these are highly dynamic systems, their design is still challenging. Complex models tend to require detailed information for calibration, which can only be obtained when the wetland is constructed. Hence simplified models are widely used for FWS wetlands design. The limitations of these models in full-scale FWS wetlands is that these systems often cope with stochastic events with different input concentrations. In our study, we compared different simple transport and degradation models for total nitrogen under steady- and unsteady-state conditions using information collected from a tracer experiment and data from two precipitation events from a full-scale FWS wetland. The tanks-in-series model proved to be robust for simulating solute transport, and the first-order degradation model with non-zero background concentration performed best for total nitrogen concentrations. However, the optimal background concentration changed from event to event. Thus, to use the model as a design tool, it is advisable to include an upper and lower background concentration to determine a range of wetland performance under different events. Models under steady- and unsteady-state conditions with simulated data showed good performance, demonstrating their potential for wetland design.</p", "keywords": ["agricultural runoff", " design models", " free water surface wetlands", " modelling", " treatment wetlands", "Nitrogen", "treatment wetlands", "0207 environmental engineering", "Water", "02 engineering and technology", "15. Life on land", "Environmental technology. Sanitary engineering", "01 natural sciences", "agricultural runoff", "6. Clean water", "Water Purification", "modelling", "13. Climate action", "Wetlands", "Denitrification", "design models", "free water surface wetlands", "TD1-1066", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/889925/1/wst085113301.pdf"}, {"href": "https://iwaponline.com/wst/article-pdf/85/11/3301/1062302/wst085113301.pdf"}, {"href": "https://doi.org/10.2166/wst.2022.179"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Science%20and%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2166/wst.2022.179", "name": "item", "description": "10.2166/wst.2022.179", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2166/wst.2022.179"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "3033086727", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:27:07Z", "type": "Journal Article", "created": "2020-06-05", "title": "Water modelling approaches and opportunities to simulate spatial water variations at crop field level", "description": "Open AccessFunding from the European Commission under project SHui \u2013 Grant agreement ID 773903.", "keywords": ["Water management", "0106 biological sciences", "2. Zero hunger", "Precision agriculture", "Spatial modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Water-balance", "15. Life on land", "Crop-modelling", "01 natural sciences"]}, "links": [{"href": "https://doi.org/3033086727"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3033086727", "name": "item", "description": "3033086727", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3033086727"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "10.25678/000161", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-24T16:21:19Z", "type": "Software", "title": "Data for: Data Assimilation and Online Parameter Optimization in Groundwater Modeling using Nested Particle Filters", "keywords": ["modelling", "particle filter", "hydrogeology", "groundwater", "data assimilation"], "contacts": [{"organization": "Ramgraber, Max, Albert, Carlo, Schirmer, Mario,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25678/000161"}, {"rel": "self", "type": "application/geo+json", "title": "10.25678/000161", "name": "item", "description": "10.25678/000161", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25678/000161"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.25678/00035v", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:19Z", "type": "Dataset", "title": "Data for: Non\u2010Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent", "description": "This package includes the data and Python files for the publication 'Non\u2010Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent'.", "keywords": ["SVGD", "modelling", "aquifer", "hydrogeology", "river", "groundwater", "Bayesian inference", "Stein Variational Gradient Descent", "ensemble-based", "modeling", "Bayesian statistics", "non-Gaussian", "Jacobian"], "contacts": [{"organization": "Ramgraber, M., Weatherl, R., Blumensaat, F., Schirmer, M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25678/00035v"}, {"rel": "self", "type": "application/geo+json", "title": "10.25678/00035v", "name": "item", "description": "10.25678/00035v", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25678/00035v"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.3389/fclim.2024.1344524", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:22Z", "type": "Journal Article", "created": "2024-07-29", "title": "Quantification of soil organic carbon: the challenge of biochar-induced spatial heterogeneity", "description": "Introduction<p>Soil organic carbon (SOC) content can vary significantly across a given plot. Therefore, a representative sampling is a prerequisite to obtain meaningful results from analysis and of utter importance when SOC quantification is used to quantify (temporary) carbon dioxide removal (CDR). However, certain management practices aiming to increase SOC further increase the level of heterogeneity and may challenge representative sampling schemes. This includes concentrated root-zone application of biochar, which immediately increases SOC with the input of biochar-C and may promote the local enrichment of non-biochar SOC over time.</p>Methods<p>Here, we used numerical modelling to quantify the number of single sampling points (soil cores) needed to achieve a representative sample of biochar-C and total SOC on a plot after application of biochar in rows, e.g., for growing vegetables, or in the circumference of trees in agroforestry systems.</p>Results<p>After row application of 5\uffe2\uff80\uff89t\uffe2\uff80\uff89ha\uffe2\uff88\uff921 biochar in soil with rather low SOC content (26\uffe2\uff80\uff89t\uffe2\uff80\uff89ha\uffe2\uff88\uff921), 140 soil cores (per 0.25\uffe2\uff80\uff89ha plot) where necessary to achieve representative sampling of C-stocks (\uffc2\uffb15% error) in 90% of the repeated sampling simulation cases. Compared to realistic and cost-effective soil sampling scenarios in agronomic practice, we conclude that concentrated root zone application of biochar makes representative sampling for quantification of SOC in soils with low baseline C-stocks virtually impossible.</p>Discussion<p>This finding calls into question the soil-sampling and SOC-analysis-based (\uffe2\uff80\uff9cresult-based\uffe2\uff80\uff9d) monitoring of SOC as a (temporary) CDR when biochar might have been applied. Considering the rapid scaling of biochar production and use in agriculture, this is a considerable challenge for SOC certification. Instead, action-based incentives, rewarding farmers for carrying out specific practices, could be applied to promote carbon farming practices.</p", "keywords": ["2. Zero hunger", "pyrogenic carbon capture and storage", "biochar carbon removal", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "agroforestry", "modelling", "Environmental sciences", "representative sampling", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "root-zone application", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3389/fclim.2024.1344524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Climate", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fclim.2024.1344524", "name": "item", "description": "10.3389/fclim.2024.1344524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fclim.2024.1344524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "10.3390/agronomy11040747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:31Z", "type": "Journal Article", "created": "2021-04-12", "title": "Defining Integrated Weed Management: A Novel Conceptual Framework for Models", "description": "<p>Weed population dynamics models are an important tool for predicting the outcome of alternative Integrated Weed Management (IWM) scenarios. The growing problem of herbicide resistance has increased the urgency for these tools in the design of sustainable IWM solutions. We developed a conceptual framework for defining IWM as a standardised input template to allow output from different models to be compared and to design IWM scenarios. The framework could also be used as a quantitative metric to determine whether more diverse systems are more sustainable and less vulnerable to herbicide resistance using empirical data. Using the logic of object-oriented programming, we defined four classes of weed management options based on the stage in the weed life cycle that they impact and processes that mediate their effects. Objects in the same class share a common set of properties that determine their behaviour in weed population dynamics models. Any weed control \uffe2\uff80\uff9cevent\uffe2\uff80\uff9d in a system is associated with an object, meaning alternative management scenarios can be built by systematically adding events to a model either to compare existing systems or design novel approaches. Our framework is designed to be generic, allowing IWM systems from different cropping systems and countries to be compared.</p>", "keywords": ["weed life cycle", "resistance management", "S", "population dynamics modelling", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Integrated Pest Management", "12. Responsible consumption"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/4/747/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/4/747/pdf"}, {"href": "https://doi.org/10.3390/agronomy11040747"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11040747", "name": "item", "description": "10.3390/agronomy11040747", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11040747"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-12T00:00:00Z"}}, {"id": "10.3390/agronomy11122480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:32Z", "type": "Journal Article", "created": "2021-12-07", "title": "Performance evaluation of the WOFOST model for estimating evapotranspiration, soil water content, grain yield and total above-ground biomass of winter wheat in Tensift Al Haouz (Morocco): Application to yield gap estimation", "description": "<p>The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter wheat in the semi-arid region of Tensift Al Haouz, Marrakech (central Morocco). An application for the estimation of the Yield Gap is also provided. The model was firstly calibrated based on three fields data during the 2002\uffe2\uff80\uff932003 and 2003\uffe2\uff80\uff932004 growing seasons, by using the WOFOST implementation in the Python Crop simulation Environment (PCSE) to optimize the different parameters that provide the minimum difference between the measured and simulated LAI, TAGP, TWSO, SM and ETa. Then, the model validation was performed based on the data from five other wheat fields. The results obtained showed a good performance of the WOFOST model for the estimation of LAI during both growing seasons on all validation fields. The average R2, RSME and NRMSE were 91.4%, 0.57 m2/m2, and 41.4%, respectively. The simulated ETa dynamics also showed a good agreement with the observations by eddy covariance systems. Values of 60% and 72% for R2, 0.8 mm and 0.7 mm for RMSE, 54% and 31% for NRMSE are found for the two validation fields, respectively. The model\uffe2\uff80\uff99s ability to predict soil moisture content was also found to be satisfactory; the two validation fields gave R2 values equal to 48% and 49%, RMSE values equal to 0.03 cm3/cm3 and 0.05 cm3/cm3, NRMSE values equal to 11% and 19%. The calibrated model had a medium performance with respect to the simulation of TWSO (R2 = 42%, RSME = 512 kg/ha, NRMSE = 19%) and TAGP (R2 = 34% and RSME = 936 kg/ha, NRMSE = 16%). After accurate calibration and validation of the WOFOST model, it was used for analyzing the gap yield since this model is able to estimate the potential yield. The WOFOST model allowed a good simulation of the potential yield (7.75 t/ha) which is close to the optimum value of 6.270 t/ha in the region. Yield gap analysis reveals a difference of 5.35 t/ha on average between the observed yields and the potential yields calculated by WOFOST. Such difference is ascribable to many factors such as the crop cycle management, agricultural practices such as water and fertilization supply levels, etc. The various simulations (irrigation scenarios) showed that early sowing is more adequate than late sowing in saving water and obtaining adequate grain yield. Based on various simulations, it has been shown that the early sowing (mid to late December) is more adequate than late sowing with a total amount of water supply of about 430 mm and 322 kg (140 kg of N, 80 kg of P and 102 kg of K) of fertilization to achieve the potential yield. Consequently, the WOFOST model can be considered as a suitable tool for quantitative monitoring of winter wheat growth in the arid and semi-arid regions.</p>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "estimation", "550", "leaf area index", "S", "gap yield", "evapotranspiration", "Agriculture", "04 agricultural and veterinary sciences", "crop yield", "total biomass", "15. Life on land", "WOFOST", "630", "Tensift Morocco", "winter wheat", "crop modelling; WOFOST; Tensift Morocco; evapotranspiration; crop yield estimation; soil moisture; leaf area index; total biomass; winter wheat; gap yield", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "crop modelling", "crop yield estimation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122480", "name": "item", "description": "10.3390/agronomy11122480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-07T00:00:00Z"}}, {"id": "10.3390/ijms25105216", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:37Z", "type": "Journal Article", "created": "2024-05-14", "title": "Development of a Robust Read-Across Model for the Prediction of Biological Potency of Novel Peroxisome Proliferator-Activated Receptor Delta Agonists", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A robust predictive model was developed using 136 novel peroxisome proliferator-activated receptor delta (PPAR\u03b4) agonists, a distinct subtype of lipid-activated transcription factors of the nuclear receptor superfamily that regulate target genes by binding to characteristic sequences of DNA bases. The model employs various structural descriptors and docking calculations and provides predictions of the biological activity of PPAR\u03b4 agonists, following the criteria of the Organization for Economic Co-operation and Development (OECD) for the development and validation of quantitative structure\u2013activity relationship (QSAR) models. Specifically focused on small molecules, the model facilitates the identification of highly potent and selective PPAR\u03b4 agonists and offers a read-across concept by providing the chemical neighbours of the compound under study. The model development process was conducted on Isalos Analytics Software (v. 0.1.17) which provides an intuitive environment for machine-learning applications. The final model was released as a user-friendly web tool and can be accessed through the Enalos Cloud platform\u2019s graphical user interface (GUI).</p></article>", "keywords": ["0301 basic medicine", "570", "610", "Quantitative Structure-Activity Relationship", "molecular docking", "01 natural sciences", "Isalos Analytics Platform", "in silico modelling", "Article", "0104 chemical sciences", "Molecular Docking Simulation", "Machine Learning", "03 medical and health sciences", "machine learning", "PPAR\u03b4 agonist", "Humans", "PPAR delta", "Software"]}, "links": [{"href": "https://www.mdpi.com/1422-0067/25/10/5216/pdf"}, {"href": "https://doi.org/10.3390/ijms25105216"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Molecular%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijms25105216", "name": "item", "description": "10.3390/ijms25105216", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijms25105216"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-10T00:00:00Z"}}, {"id": "10.3390/land11060943", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:38Z", "type": "Journal Article", "created": "2022-06-19", "title": "The Effects of Soil Improving Cropping Systems (SICS) on Soil Erosion and Soil Organic Carbon Stocks across Europe: A Simulation Study", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Healthy soils are fundamental for sustainable agriculture. Soil Improving Cropping Systems (SICS) aim to make land use and food production more sustainable. To evaluate the effect of SICS at EU scale, a modelling approach was taken. This study simulated the effects of SICS on two principal indicators of soil health (Soil Organic Carbon stocks) and land degradation (soil erosion) across Europe using the spatially explicit PESERA model. Four scenarios with varying levels and combinations of cover crops, mulching, soil compaction alleviation and minimum tillage were implemented and simulated until 2050. Results showed that while in the scenario without SICS, erosion slightly increased on average across Europe, it significantly decreased in the scenario with the highest level of SICS applied, especially in the cropping areas in the central European Loess Belt. Regarding SOC stocks, the simulations show a substantial decrease for the scenario without SICS and a slight overall decrease for the medium level scenario and the scenario with a mix of high, medium and no SICS. The scenario with a high level of SICS implementation showed an overall increase in SOC stocks across Europe. Potential future improvements include incorporating dynamic land use, climate change and an optimal spatial allocation of SICS.</p></article>", "keywords": ["2. Zero hunger", "soil erosion", "soil health", "S", "scenarios", "0211 other engineering and technologies", "large-scale modelling; Europe; soil health; SOC stocks; soil erosion; scenarios; sustainable soil management", "Agriculture", "sustainable soil management", "02 engineering and technology", "15. Life on land", "large-scale modelling", "SOC stocks", "01 natural sciences", "7. Clean energy", "12. Responsible consumption", "Europe", "13. Climate action", "11. Sustainability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/6/943/pdf"}, {"href": "https://doi.org/10.3390/land11060943"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11060943", "name": "item", "description": "10.3390/land11060943", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11060943"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-19T00:00:00Z"}}, {"id": "10.3390/s17040892", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:46Z", "type": "Journal Article", "created": "2017-04-18", "title": "Microfluidic EBG Sensor Based on Phase-Shift Method Realized Using 3D Printing Technology", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this article, we propose a novel microfluidic microstrip electromagnetic band gap (EBG) sensor realized using cost-effective 3D printing technology. Microstrip sensor allows monitoring of the fluid properties flowing in the microchannel embedded between the microstrip line and ground plane. The sensor\u2019s operating principle is based on the phase-shift method, which allows the characterization at a single operating frequency of 6 GHz. The defected electromagnetic band gap (EBG) structure is realized as a pattern in the microstrip ground plane to improve sensor sensitivity. The designed microfluidic channel is fabricated using a fused deposition modelling (FDM) 3D printing process without additional supporting layers, while the conductive layers are realized using sticky aluminium tape. The measurement results show that the change of permittivity of the fluid in the microfluidic channel from 1 to 80 results in the phase-shift difference of almost 90\u00b0. The potential application is demonstrated through the implementation of a proposed sensor for the detection of toluene concentration in toluene\u2013methanol mixture where various concentrations of toluene were analysed.</p></article>", "keywords": ["fused deposition modelling (FDM)", "electromagnetic band gap (EBG)", "Chemical technology", "microfluidics", "phase-shift method", "0202 electrical engineering", " electronic engineering", " information engineering", "microstrip sensor; electromagnetic band gap (EBG); microfluidics; 3D printing; fused deposition modelling (FDM); phase-shift method", "microstrip sensor", "3D printing", "TP1-1185", "02 engineering and technology", "Article"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/17/4/892/pdf"}, {"href": "https://doi.org/10.3390/s17040892"}, {"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/s17040892", "name": "item", "description": "10.3390/s17040892", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s17040892"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-18T00:00:00Z"}}, {"id": "10.3390/w10030287", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:49Z", "type": "Journal Article", "created": "2018-03-08", "title": "Effectiveness of a Natural Headwater Wetland for Reducing Agricultural Nitrogen Loads", "description": "<p>Natural wetlands can play a key role in controlling non-point source pollution, but quantifying their capacity to reduce contaminant loads is often challenging due to diffuse and variable inflows. The nitrogen removal performance of a small natural headwater wetland in a pastoral agricultural catchment in Waikato, New Zealand was assessed over a two-year period (2011\uffe2\uff80\uff932013). Flow and water quality samples were collected at the wetland upper and lower locations, and piezometers sampled inside and outside the wetland. A simple dynamic model operating on an hourly time step was used to assess wetland removal performance for key N species. Hourly measurements of inflow, outflow, rainfall and Penman-Monteith evapotranspiration estimates were used to calculate dynamic water balance for the wetland. A dynamic N mass balance was calculated for each N component by coupling influent concentrations to the dynamic water balance and applying a first order areal removal coefficient (k20) adjusted to the ambient temperature. Flow and water quality monitoring showed that wetland was mainly groundwater fed. The concentrations of oxidised nitrogen (NOx-N, Total Organic Nitrogen (TON) and Total-N (TN) were lower at the outlet of the wetland regardless of flow conditions or seasonality, even during winter storms. The model estimation showed that the wetland could reduce net NOx-N, NH4-N, TON and TN loads by 76%, 73%, 26% and 57%, respectively.</p>", "keywords": ["wetland attenuation; nitrogen; nutrient removal; denitrification; modelling; agricultural pollution", "13. Climate action", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/3/287/pdf"}, {"href": "https://doi.org/10.3390/w10030287"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10030287", "name": "item", "description": "10.3390/w10030287", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10030287"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-08T00:00:00Z"}}, {"id": "10.3390/w11091918", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:49Z", "type": "Journal Article", "created": "2019-09-16", "title": "Modeling Sugar Beet Responses to Irrigation with AquaCrop for Optimizing Water Allocation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past published calibrations, together with important modifications in the program, deemed it necessary to conduct a study aimed at the calibration of AquaCrop (version 6.1) using the results of a single deficit irrigation experiment. The model was validated with additional data from eight farms differing in location, years, varieties, sowing dates, and irrigation. The overall performance of AquaCrop for simulating canopy cover, biomass, and final yield was accurate (RMSE = 11.39%, 2.10 t ha\u22121, and 0.85 t ha\u22121, respectively). Once the model was properly calibrated and validated, a scenario analysis was carried out to assess the crop response in terms of yield and water productivity to different irrigation water allocations in the two main production areas of sugar beet in Spain (spring and autumn sowing). The results highlighted the potential of the model by showing the important impact of irrigation water allocation and sowing time on sugar beet production and its irrigation water productivity.</p></article>", "keywords": ["2. Zero hunger", "Water productivity", "Sugar beet", "sugar beet", "04 agricultural and veterinary sciences", "15. Life on land", "calibration", "irrigation water allocation", "Modelling", "AquaCrop", "6. Clean water", "Irrigation water allocation", "modelling", "Calibration", "water productivity", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/11/9/1918/pdf"}, {"href": "https://www.mdpi.com/2073-4441/11/9/1918/pdf"}, {"href": "https://doi.org/10.3390/w11091918"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w11091918", "name": "item", "description": "10.3390/w11091918", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w11091918"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-14T00:00:00Z"}}, {"id": "10.3390/w11112245", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:49Z", "type": "Journal Article", "created": "2019-10-28", "title": "Irrigation-Advisor\u2014A Decision Support System for Irrigation of Vegetable Crops", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change will intensify water scarcity, and therefore irrigation must be adapted to save water. Operational tools that provide watering recommendations to end-users are needed. This work presents a new tool, Irrigation-Advisor (IA), which is based on weather forecasts and is able to separately determine soil evaporation and crop transpiration, and thus is adaptable to a broad range of agricultural situations. By calculating several statistical indicators, IA was tested against the FAO-56 crop evapotranspiration (ETcFAO) methodology using local crop coefficients. Additionally, IA recommendations were compared with current standard practices by experienced farmers (F). Six field experiments with four widely cultivated species (endive, lettuce, muskmelon and potato) were performed in Southeast Spain. Irrigation water applied, crop yield, aboveground biomass and water productivity were determined. Crop water needs underestimations (5%\u201320%) were detected when comparing IA against ETcFAO, although the index of agreement proved reasonable adjustments. The IA recommendations led to water savings up to 13% when compared to F, except for lettuce, with a 31% surplus in irrigation when using IA. Crop yield was not compromised and water productivity was increased by IA. Therefore, IA mimicked the farmers\u2032 irrigation strategies fairly well without deploying sensors on-site. Nevertheless, improvements are needed for increasing the accuracy of IA estimations.</p></article>", "keywords": ["Water-use efficiency", "0106 biological sciences", "2. Zero hunger", "Evapotranspiration", "2508.02 Evaporaci\u00f3n", "evapotranspiration", "Modeling", "Water use efficiency", "modeling", "15. Life on land", "F06 Irrigation", "3103.02 Hibridaci\u00f3n de Cultivos", "01 natural sciences", "Modelling", "Ingenier\u00eda del Terreno", "6. Clean water", "Weather forecasting", "weather forecasts", "Edafolog\u00eda y Qu\u00edmica Agr\u00edcola", "2511 Ciencias del Suelo (Edafolog\u00eda)", "Weather forecasts", "13. Climate action", "soil water balance", "water-use efficiency", "Soil water balance"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/11/11/2245/pdf"}, {"href": "https://www.iris.unict.it/bitstream/20.500.11769/552480/2/Water%202019.pdf"}, {"href": "https://www.mdpi.com/2073-4441/11/11/2245/pdf"}, {"href": "https://doi.org/10.3390/w11112245"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w11112245", "name": "item", "description": "10.3390/w11112245", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w11112245"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14764568", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:23:32Z", "type": "Other", "title": "Deliverable 2.3 - Supplementary material : Model input files for the Danube catchment modelling", "description": "This model is part of the toolbox built within the framework of the PROMISCES project (Deliverable D2.3). It contains input files for the catchment model for the Danube developped, results are presented in the deliverable D2.3.  Contents of the zip-file:  delwaq:    Input files and batch files to run the model calculations.  The batch file runallpfas.bat takes care of the whole suite of calculations.  These consist of:    Preparation of the emissions from the various sources in the catchment - on a per substance basis.  Calculating the concentration patterns via the results of the hydrological model.    Output in the form of human-readable files and netCDF files for easy visualisation.   EM:    Hydrological model results for the 'emissions' step.   substancedata:    Substance-specific data for various PFAS's and other PMT compounds   wflow_danube_flow:    Hydrological model schematisation for the Danube catchment.\u00a0  Input for the wflow hydrological model.   WQ:    Hydrological model results for the 'water quality' step.", "keywords": ["Water quality", "Emissions", "PFAS", "Catchment", "Modelling"], "contacts": [{"organization": "van Gils, Jos, Meijers, Erwin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14764568"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14764568", "name": "item", "description": "10.5281/zenodo.14764568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14764568"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "20.500.11820/03f81a44-477a-4a8c-b34d-85892c85bd6f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:19Z", "type": "Journal Article", "created": "2017-10-13", "title": "An Explicit Structural Model of Root Hair and Soil Interactions Parameterised by Synchrotron X-ray Computed Tomography", "description": "The rhizosphere is a zone of fundamental importance for understanding the dynamics of nutrient acquisition by plant roots. The canonical difficulty of experimentally investigating the rhizosphere led long ago to the adoption of mathematical models, the most sophisticated of which now incorporate explicit representations of root hairs and rhizosphere soil. Mathematical upscaling regimes, such as homogenisation, offer the possibility of incorporating into larger-scale models the important mechanistic processes occurring at the rhizosphere scale. However, we lack concrete descriptions of all the features required to fully parameterise models at the rhizosphere scale. By combining synchrotron X-ray computed tomography (SRXCT) and a novel root growth assay, we derive a three-dimensional description of rhizosphere soil structure suitable for use in multi-scale modelling frameworks. We describe an approach to mitigate sub-optimal root hair detection via structural root hair growth modelling. The growth model is explicitly parameterised with SRXCT data and simulates three-dimensional root hair ideotypes in silico, which are suitable for both ideotypic analysis and parameterisation of 3D geometry in mathematical models. The study considers different hypothetical conditions governing root hair interactions with soil matrices, with their respective effects on hair morphology being compared between idealised and image-derived soil/root geometries. The studies in idealised geometries suggest that packing arrangement of soil affects hair tortuosity more than the particle diameter. Results in field-derived soil suggest that hair access to poorly mobile nutrients is particularly sensitive to the physical interaction between the growing hairs and the phase of the soil in which soil water is present (i.e. the hydrated textural phase). The general trends in fluid-coincident hair length with distance from the root, and their dependence on hair/soil interaction mechanisms, are conserved across Cartesian and cylindrical geometries.", "keywords": ["Plant biology", "2. Zero hunger", "0301 basic medicine", "0303 health sciences", "X-ray CT", "Biomedical imaging and signal processing", "Mathematical Concepts", "15. Life on land", "Models", " Biological", "Plant Roots", "root hairs", "Soil", "03 medical and health sciences", "Imaging", " Three-Dimensional", "in silico", "structural modelling", "synchrotron", "Rhizosphere", "Original Article", "Computer Simulation", "rhizosphere", "Tomography", " X-Ray Computed", "Synchrotrons"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11538-017-0350-x.pdf"}, {"href": "https://doi.org/20.500.11820/03f81a44-477a-4a8c-b34d-85892c85bd6f"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20Mathematical%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/03f81a44-477a-4a8c-b34d-85892c85bd6f", "name": "item", "description": "20.500.11820/03f81a44-477a-4a8c-b34d-85892c85bd6f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/03f81a44-477a-4a8c-b34d-85892c85bd6f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-13T00:00:00Z"}}, {"id": "10.4995/cigeo2021.2021.12694", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:03Z", "type": "Journal Article", "created": "2021-10-11", "title": "A review of the use of remote sensing for monitoring and quantifying carbon sequestration in marginal lands", "description": "<p>In recent years, Remote Sensing (RS) and its derived products have been used as a key tool for the detection, monitoring,management and future use of Marginal Lands (ML). Currently, there is no single, universally accepted definition of theterm and there is a wide variety of synonyms. In this paper, we conduct a compilation of synonyms and meanings thatencompass the term, as well as propose a definition. To reach this objective, an overview of the state of the art of ML isdone, visualising trends by science maps, based on bibliographic data of established research journals, found in GoogleScholar, Web of Science (WoS) and Scopus search engines. The bibliographic review carried out shows that the study ofML has traditionally been carried out with an ad hoc basis focused on the objective to be achieved, this aspect and otherknowledge gaps are discussed to analyse the global study of ML. Due to the broad spectrum of uses in which ML havebeen studied, the work has been focused on RS for monitoring and characterizing ML, focusing on two different aspects:(i) satellite monitoring of marginal lands; and (ii) determining carbon sequestration potential of marginal lands using remotesensing.</p>", "keywords": ["Cartography", "Carbon sequestration", "Earth observation", "Uso del suelo", "Cultural Heritage", "Marginal lands", "Remote sensing", "15. Life on land", "12. Responsible consumption", "3D Modelling", "Geophysics", "Captura de carbono", "13. Climate action", "Land use", "11. Sustainability", "Teledetecci\u00f3n", "Tierras marginales", "marginal lands", " remote sensing", " carbon sequestration", " land use", "Geocomputing", "Environmental applications", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12694"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12694", "name": "item", "description": "10.4995/cigeo2021.2021.12694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.4995/cigeo2021.2021.12729", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:03Z", "type": "Journal Article", "created": "2021-10-11", "title": "Methodological proposal for the identification of marginal lands with remote sensing-derived products and ancillary data", "description": "<p>The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.</p>", "keywords": ["Cartography", "Land cover", "Cultural Heritage", "Cobertura de suelo", "3D Modelling", "11. Sustainability", "Teledetecci\u00f3n", "Environmental applications", "Uso de suelo", "2. Zero hunger", "Earth observation", "Tierra abandonada", "Remote sensing", "15. Life on land", "GIS", "SIG", "Geophysics", "Idle land", "13. Climate action", "Degradaci\u00f3n del suelo", "Land use", "Land degradation", "land use", " land cover", " idle land", " land degradation", " GIS", " remote sensing", " Google Earth Engine", "Geocomputing", "Google Earth Engine", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12729"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12729", "name": "item", "description": "10.4995/cigeo2021.2021.12729", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12729"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.5061/dryad.18931zd1m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:04Z", "type": "Dataset", "title": "Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale", "description": "unspecifiedThis is the input dataset to a Python script  (https://github.com/oskeng/MF-bio-grass) used to model the effects of  widespread deployment of grass in rotations with annual crops to provide  biomass while remediating soil organic carbon (SOC) losses and other  environmental impacts. For more information about the dataset and the  study, see the original article: Englund, O., Mola-Yudego, B., B\u00f6rjesson,  P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale  deployment of grass in crop rotations as a multifunctional climate  mitigation strategy. GCB Bioenergy", "keywords": ["2. Zero hunger", "spatial modelling", "climate mitigation", "grass", "Agriculture", "FOS: Earth and related environmental sciences", "15. Life on land", "Environmental impacts", "Soil carbon", "Europe", "13. Climate action", "environmental benefits", "Land-use", "perennial crops"], "contacts": [{"organization": "Englund, Oskar", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.18931zd1m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.18931zd1m", "name": "item", "description": "10.5061/dryad.18931zd1m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.18931zd1m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-17T00:00:00Z"}}, {"id": "10.5281/zenodo.14764569", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:23:32Z", "type": "Dataset", "title": "Deliverable 2.3 - Supplementary material : Model input files for the Danube catchment modelling", "description": "This model is part of the toolbox built within the framework of the PROMISCES project (Deliverable D2.3). It contains input files for the catchment model for the Danube developped, results are presented in the deliverable D2.3.  Contents of the zip-file:  delwaq:    Input files and batch files to run the model calculations.  The batch file runallpfas.bat takes care of the whole suite of calculations.  These consist of:    Preparation of the emissions from the various sources in the catchment - on a per substance basis.  Calculating the concentration patterns via the results of the hydrological model.    Output in the form of human-readable files and netCDF files for easy visualisation.   EM:    Hydrological model results for the 'emissions' step.   substancedata:    Substance-specific data for various PFAS's and other PMT compounds   wflow_danube_flow:    Hydrological model schematisation for the Danube catchment.\u00a0  Input for the wflow hydrological model.   WQ:    Hydrological model results for the 'water quality' step.", "keywords": ["Water quality", "Emissions", "PFAS", "Catchment", "Modelling"], "contacts": [{"organization": "van Gils, Jos, Meijers, Erwin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14764569"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14764569", "name": "item", "description": "10.5281/zenodo.14764569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14764569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5061/dryad.h70rxwdqs", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:11Z", "type": "Dataset", "created": "2023-11-13", "title": "Data from: Microbial carbon use efficiency and soil organic carbon stocks across an elevational gradient in the Peruvian Andes", "description": "unspecifiedSoils of mountain ecosystems are one of the most vulnerable ecosystems to  climate change, while the ecosystem services they produce are significant  and currently at risk. High altitude soils contain high C stocks, but due  to difficult access to sites these areas are understudied. Moreover, how  the C and N cycling is changing in response to climate change in these  ecosystems, is still unclear. Microbial carbon use efficiency (CUE) and  its dependency on the environmental constraints along the altitudinal  gradients is one important unknown factor. Here we present results from an  altitudinal gradient study (3500 to 4500 m a.s.l.) from a Polylepis forest  in the Peruvian Andes. We measured the soil organic carbon (SOC) stocks  and microbial metabolic CUE by\u00a013C glucose tracing and microbial  resource use efficiency (CUEC:N) based on enzyme activity measurements. We  expected to find an increase in SOC stock, microbial nutrient limitations,  and lower CUE with elevation. SOC stocks depended on soil development and  followed a unimodal curve that peaks at 4000 m in two of the three studied  valleys. Neither 13CUE nor CUEC:N changed significantly with altitude.  Soil C:N ratio, \u03b2-glucosidase, chitinase, and phosphatase enzyme  activities increased with elevation, but peroxidase activity decreased  with elevation. We suggest that more labile organic matter left at high  elevation could compensate for the increasing nutrient limitation at high  elevation, resulting in no noticeable change in CUE with elevation.", "keywords": ["soil organic carbon", "Exoenzyme", "Carbon use efficiency", "FOS: Earth and related environmental sciences", "Stoichiometric modelling", "Elevational gradient"], "contacts": [{"organization": "Martin Vivanco, Angela Katherine, Sieti\u00f6, Outi-Maaria, Meyer, Nele, Mganga, Kevin, Kalu, Subin, Adamczyk, Sylwia, Celis, Susan, Alegre, Julio, Karhu, Kristiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.h70rxwdqs"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.h70rxwdqs", "name": "item", "description": "10.5061/dryad.h70rxwdqs", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.h70rxwdqs"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-18T00:00:00Z"}}, {"id": "10.5061/dryad.mf3gd/9", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-24T16:22:12Z", "type": "Dataset", "title": "real-model1", "description": "settings and output for migrate-N model 1", "keywords": ["Spitsbergen", "Sweden", "Speciation", "the Netherlands", "Greenland", "population genetics", "SNP", "admixture", "Branta leucopsis", "cultural evolution", "migration modelling", "Russia"], "contacts": [{"organization": "Jonker, Rudy M., Kraus, Robert H. S., Zhang, Qiong, Van Hooft, Pim, Larsson, Kjell, Van Der Jeugd, Henk P., Kurvers, Ralf H. J. M., Van Wieren, Sip E., Loonen, Maarten J. J. E., Crooijmans, Richard P. M. A., Ydenberg, Ronald C., Groenen, Martien A. M., Prins, Herbert H. T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.mf3gd/9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.mf3gd/9", "name": "item", "description": "10.5061/dryad.mf3gd/9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.mf3gd/9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.5194/acp-21-773-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:18Z", "type": "Journal Article", "created": "2021-01-20", "title": "Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. We quantify the reductions in primary emissions due to the COVID-19 lockdowns in Europe. Our estimates are provided in the form of a dataset of reduction factors varying per country and day that will allow the modelling and identification of the associated impacts upon air quality. The country- and daily-resolved reduction factors are provided for each of the following source categories: energy industry (power plants), manufacturing industry, road traffic and aviation (landing and take-off cycle). We computed the reduction factors based on open-access and near-real-time measured activity data from a wide range of information sources. We also trained a machine learning model with meteorological data to derive weather-normalized electricity consumption reductions. The time period covered is from 21\u00a0February, when the first European localized lockdown was implemented in the region of Lombardy (Italy), until 26\u00a0April 2020. This period includes 5\u00a0weeks (23\u00a0March until 26\u00a0April) with the most severe and relatively unchanged restrictions upon mobility and socio-economic activities across Europe. The computed reduction factors were combined with the Copernicus Atmosphere Monitoring Service's European emission inventory using adjusted temporal emission profiles in order to derive time-resolved emission reductions per country and pollutant sector. During the most severe lockdown period, we estimate the average emission reductions to be \u221233\u2009% for NOx, \u22128\u2009% for non-methane volatile organic compounds (NMVOCs), \u22127\u2009% for SOx and \u22127\u2009% for PM2.5 at the EU-30 level (EU-28 plus Norway and Switzerland). For all pollutants more than 85\u2009% of the total reduction is attributable to road transport, except SOx. The reductions reached \u221250\u2009% (NOx), \u221214\u2009% (NMVOCs), \u221212\u2009% (SOx) and \u221215\u2009% (PM2.5) in countries where the lockdown restrictions were more severe such as Italy, France or Spain. To show the potential for air quality modelling, we simulated and evaluated NO2 concentration decreases in rural and urban background regions across Europe (Italy, Spain, France, Germany, United-Kingdom and Sweden). We found the lockdown measures to be responsible for NO2 reductions of up to \u221258\u2009% at urban background locations (Madrid, Spain) and \u221244\u2009% at rural background areas (France), with an average contribution of the traffic sector to total reductions of 86\u2009% and 93\u2009%, respectively. A clear improvement of the modelled results was found when considering the emission reduction factors, especially in Madrid, Paris and London where the bias is reduced by more than 90\u2009%. Future updates will include the extension of the COVID-19 lockdown period covered, the addition of other pollutant sectors potentially affected by the restrictions (commercial and residential combustion and shipping) and the evaluation of other air quality pollutants such as O3 and PM2.5. All the emission reduction factors are provided in the Supplement.                     </p></article>", "keywords": ["Atmospheric chemistry", "330", "550", "QC1-999", "Lockdowns", "Air pollution", "Urbanisation", "Environment", "COVID-19 (Malaltia)", "7. Clean energy", "01 natural sciences", "COVID-19 (Malaltia) -- Aspectes ambientals", "COVID-19 (Disease)", "11. Sustainability", "QD1-999", "0105 earth and related environmental sciences", "Physics", "Atmospheric emissions", "COVID-19", "Atmospheric chemistry modelling", "3. Good health", "Chemistry", "13. Climate action", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Confinament", "Europa", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://acp.copernicus.org/articles/21/773/2021/acp-21-773-2021.pdf"}, {"href": "https://doi.org/10.5194/acp-21-773-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-21-773-2021", "name": "item", "description": "10.5194/acp-21-773-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-21-773-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-22T00:00:00Z"}}, {"id": "10.5194/egusphere-egu25-2248", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:27Z", "type": "Journal Article", "created": "2025-03-14", "title": "Efficiency of plant biomass processing pathways for long-term soil carbon storage", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The potential for soil carbon (C) sequestration strongly depends on the availability of plant biomass inputs, making its efficient use critical for designing net zero strategies. Here, we compared different biomass processing pathways and quantified the long-term effect of the resulting exogenous organic materials (EOMs) on soil organic carbon (SOC) storage. We estimated C losses during feed digestion of plant material, storage of manure, composting and anaerobic digestion of plant material and manure, and pyrolysis of plant material based on literature values. Then we applied the widely used SOC model RothC with newly developed parameters to quantify SOC storage efficiency, i.e., accounting for both processing losses and decomposition losses, of the different EOMs. Based on simulations for a 39-year long cropland trial in Switzerland, we found that the SOC storage efficiency is higher for plant material directly added to the soil (16 %) compared to digestate and manure (3 % and 5 % respectively). For compost, the effect was less clear (2 % &amp;#822; 18 %; mean: 10 %) due to a high uncertainty in C-losses during composting. In the case of biochar, 43 % of the initial plant C remained in the soil, due to its high intrinsic stability despite C-losses of 54 % during pyrolysis. To provide robust recommendations for optimal biomass use, additional considerations such as nutrient availability of EOMs, environmental impacts of soil application, and life cycle assessments for the entire production processes should be included.&amp;#160;</p></article>", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "compost", "net zero", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "carbon farming", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "333", "modelling", "soil carbon sequestration", "digestate", "manure", "biochar", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu25-2248"}, {"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": "10.5194/egusphere-egu25-2248", "name": "item", "description": "10.5194/egusphere-egu25-2248", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu25-2248"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-25T00:00:00Z"}}, {"id": "10.5194/gmd-11-937-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:30Z", "type": "Journal Article", "created": "2018-03-15", "title": "ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe", "description": "<p>Abstract. Current land surface models (LSMs) typically represent soils in a\uffc2\uffa0very simplistic way, assuming soil organic carbon (SOC) as a\uffc2\uffa0bulk, and thus impeding a\uffc2\uffa0correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a\uffc2\uffa0new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a\uffc2\uffa0vertically discretized soil to 2\uffe2\uff80\uffafm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a\uffc2\uffa0coniferous forest, a\uffc2\uffa0deciduous forest, a\uffc2\uffa0grassland, and a\uffc2\uffa0cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a\uffc2\uffa0plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.                     </p>", "keywords": ["550", "/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science", "Climate", "/dk/atira/pure/discipline/B000/B006/B410-bodembeheer", "01 natural sciences", "/dk/atira/pure/thematic/inbo_th_00043", "/dk/atira/pure/thematic/inbo_th_00022", "SDG 13 - Climate Action", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Woods and parks", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "Geokemi", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Sciences de la terre et du cosmos", "Geochemistry", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "B410-soil-science"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/937/2018/gmd-11-937-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282703/1/doi_266330.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-937-2018"}, {"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-11-937-2018", "name": "item", "description": "10.5194/gmd-11-937-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-937-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-16T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=MODELLING&offset=50&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=MODELLING&offset=50&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": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=MODELLING&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=MODELLING&offset=100", "hreflang": "en-US"}], "numberMatched": 239, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-25T00:27:16.794566Z"}