{"type": "FeatureCollection", "features": [{"id": "10.2139/ssrn.5084742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:13Z", "type": "Journal Article", "created": "2025-05-25", "title": "ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water", "description": "Glyphosate is a widely used broad-spectrum herbicide for controlling grassy weeds, despite having potential health hazards. Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. Under laboratory conditions in acetate buffer (pH 5), the sensor demonstrated excellent selectivity and sensitivity, with a detection limit of 0.648 \u00b5M, a wide linear detection range (0.5 \u00b5M to 7.5 mM), and a rapid detection time of 30 min. When tested in river water, the sensor achieved a detection limit of 0.96 \u00b5M using differential pulse voltammetry. It also exceptionally tolerated interference from similar organophosphorus compounds and ions commonly found in river water. The excellent detection performance of the sensor was attributed to the strong coordination interactions between Zn atoms and phosphonate/carboxylate groups that are enhanced by a hydrogen bond at acidic pH, as determined by chemical calculations. This disposable sensor offers a cost-effective, efficient, and environmentally friendly solution for monitoring glyphosate in water systems.", "keywords": ["QD71-142", "Environmental water", "Eco-friendly ZnO nanoparticles", "Computational modeling", "Pesticides", "Eco-friendly ZnO nanoparticles;", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "Analytical chemistry", "Sensor"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5084742"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5084742", "name": "item", "description": "10.2139/ssrn.5084742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5084742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "1887/4246123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:51Z", "type": "Journal Article", "created": "2023-08-30", "title": "Inland Waters Increasingly Produce and Emit Nitrous Oxide", "description": "Nitrous oxide (N2O) is a long-lived greenhouse gas and currently contributes \u223c10% to global greenhouse warming. Studies have suggested that inland waters are a large and growing global N2O source, but whether, how, where, when, and why inland-water N2O emissions changed in the Anthropocene remains unclear. Here, we quantify global N2O formation, transport, and emission along the aquatic continuum and their changes using a spatially explicit, mechanistic, coupled biogeochemistry-hydrology model. The global inland-water N2O emission increased from 0.4 to 1.3 Tg N yr-1 during 1900-2010 due to (1) growing N2O inputs mainly from groundwater and (2) increased inland-water N2O production, largely in reservoirs. Inland waters currently contribute 7 (5-10)% to global total N2O emissions. The highest inland-water N2O emissions are typically in and downstream of reservoirs and areas with high population density and intensive agricultural activities in eastern and southern Asia, southeastern North America, and Europe. The expected continuing excessive use of nutrients, dam construction, and development of suboxic conditions in aging reservoirs imply persisting high inland-water N2O emissions.", "keywords": ["Inland waters", "N2O cycling", " long-term temporal changes", "long-term temporal changes", "Nitrous oxide", "Asia", " Southern", "Nitrous Oxide", "Integrated process-based modeling", "Water", "Agriculture", "General Chemistry", "15. Life on land", "N2O cycling", "6. Clean water", "Greenhouse gas emission", "13. Climate action", "Environmental Chemistry", "14. Life underwater", "Spatial distributions", "closed N2O budget"]}, "links": [{"href": "https://doi.org/1887/4246123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1887/4246123", "name": "item", "description": "1887/4246123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1887/4246123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-30T00:00:00Z"}}, {"id": "10.1016/j.energy.2018.09.034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:56Z", "type": "Journal Article", "created": "2018-09-08", "title": "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies", "description": "This work investigates a power dispatch system that aims to supply the power demand of the EU and Western Balkans (EUWB) based on low-carbon generation units, enabled by the expansion of biomass, solar, and wind based electricity. A spatially explicit techno-economic optimization tool simulates the EUWB power sector to explore the dispatch of new renewable electricity capacity on a EUWB scale, under ambitious CO2 emission policies. The results show that utility-scale deployment of renewable electricity is feasible and can contribute about 9\u201339% of the total generation mix, for a carbon price range of 0\u2013200 \u20ac/tCO2 and with the existing capacities of the cross-border transmission network. Even without any explicit carbon incentive (carbon price of 0 \u20ac/tCO2), more than 35% of the variable power in the most ambitious CO2 mitigation scenario (carbon price of 200 \u20ac/tCO2) would be economically feasible to deploy. Spatial assessment of bio-electricity potential (based on forest and agriculture feedstock) showed limited presence in the optimal generation mix (0\u20136%), marginalizing its effect as baseload. Expansion of the existing cross-border transmission capacities helps even out the variability of solar and wind technologies, but may also result in lower installed RE capacity in favor of state-of-the-art natural gas with relatively low sensitivity to increasing carbon taxes. A sensitivity analysis of the investment cost, even under a low-investment scenario and at the high end of the CO2 price range, showed natural gas remains at around 11% of the total generation, emphasizing how costly it would be to achieve the final percentages toward a 100% renewable system.", "keywords": ["Optimization", "Renewable electricity", "330", "0211 other engineering and technologies", "02 engineering and technology", "Decarbonization", "7. Clean energy", "12. Responsible consumption", "Geospatial modeling", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Intermittency", "Power transmission"]}, "links": [{"href": "http://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://doi.org/10.1016/j.energy.2018.09.034"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.energy.2018.09.034", "name": "item", "description": "10.1016/j.energy.2018.09.034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.energy.2018.09.034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1002/2015wr018233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2016-04-20", "title": "Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta\u2010analysis approach", "description": "Abstract

A meta\uffe2\uff80\uff90analysis data\uffe2\uff80\uff90driven approach is developed to represent the soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. The new model is tested across a bare soil database composed of more than 30 sites around the world, a clay fraction range of 0.02\uffe2\uff80\uff930.56, a sand fraction range of 0.05\uffe2\uff80\uff930.92, and about 30,000 acquisition times. SEE is modeled using a soil resistance (rss) formulation based on surface soil moisture (\uffce\uffb8) and two resistance parameters and \uffce\uffb8efolding. The data\uffe2\uff80\uff90driven approach aims to express both parameters as a function of observable data including meteorological forcing, cut\uffe2\uff80\uff90off soil moisture value at which SEE=0.5, and first derivative of SEE at , named . An analytical relationship between and is first built by running a soil energy balance model for two extreme conditions with rss\uffe2\uff80\uff89=\uffe2\uff80\uff890 and using meteorological forcing solely, and by approaching the middle point from the two (wet and dry) reference points. Two different methods are then investigated to estimate the pair either from the time series of SEE and \uffce\uffb8 observations for a given site, or using the soil texture information for all sites. The first method is based on an algorithm specifically designed to accomodate for strongly nonlinear relationships and potentially large random deviations of observed SEE from the mean observed . The second method parameterizes as a multi\uffe2\uff80\uff90linear regression of clay and sand percentages, and sets to a constant mean value for all sites. The new model significantly outperformed the evaporation modules of ISBA (Interaction Sol\uffe2\uff80\uff90Biosph\uffc3\uffa8re\uffe2\uff80\uff90Atmosph\uffc3\uffa8re), H\uffe2\uff80\uff90TESSEL (Hydrology\uffe2\uff80\uff90Tiled ECMWF Scheme for Surface Exchange over Land), and CLM (Community Land Model). It has potential for integration in various land\uffe2\uff80\uff90surface schemes, and real calibration capabilities using combined thermal and microwave remote sensing data.This paper investigates the characteristics of dynamic rock fragmentation and its influence on the postfailure fragment trajectory. A series of numerical simulations by discrete element method (DEM) were performed for a simple rock block and slope geometry, where a particle agglomerate of prismatic shape is released along a sliding plane and subsequently collides onto a flat horizontal plane at a sharp kink point. The rock block is modeled as an assembly of bonded spherical particles with fragmentation arising from bond breakages. Bond strength and stiffness were calibrated against available experimental data. We analyzed how dynamic fragmentation occurs at impact, together with the generated fragment size distributions and consequently their runout for different slope topographies. It emerges that after impact, the vertical momentum of the granular system decreases sharply to nil, while the horizontal momentum increases suddenly and then decreases. The sudden boost of horizontal momentum can effectively facilitate the transport of fragments along the bottom floor. The rock fragmentation intensity is associated with the input energy and increases quickly with the slope angle. Gentle slopes normally lead to long spreading distance and large fragments, while steep slopes lead to high momentum boosts and impact forces, with efficient rock fragmentation and fine deposits. The fragment size decreases, while the fracture stress and fragment number both increase with the impact loading strain rate, supporting the experimental observations. The fragment size distributions can be well fitted by the Weibull's distribution function.

", "keywords": ["550", "DEM; dynamic fragmentation; loading rate; momentum boost; rock avalanche; runout;", "13. Climate action", "0211 other engineering and technologies", "02 engineering and technology", "Fragmentation", " rockslide", " rockavalanche", " DEM", " numerical modeling", " runout", "551", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JF004060"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=237479/388C5B83-7098-4BA3-A221-B7B1CEFCC63B.pdf&pub_id=237479"}, {"href": "https://doi.org/10.1002/2016JF004060"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Earth%20Surface", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016JF004060", "name": "item", "description": "10.1002/2016JF004060", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JF004060"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-01T00:00:00Z"}}, {"id": "10.1007/978-3-031-12176-0_11", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:12Z", "type": "Report", "created": "2022-11-28", "title": "Integrating X-ray CT Data into Models", "description": "Open AccessXP is a Mar\u00eda Zambrano Fellow at the Public University of Navarra (UPNA) and acknowledges funding from the European Union - NextGenerationEU through the Spanish program 'Ayuda para la Recualificaci\u00f3n del Sistema Universitario Espa\u00f1ol'. AE acknowledges funding from Swiss National Science Foundation: Grants P2EZP2 175128 and P400PB_186751. TR was funded by ERC Consolidator grant 646809 DIMR.", "keywords": ["2. Zero hunger", "570", "550", "X-Ray computed tomography", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "Soil properties", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "6. Clean water"], "contacts": [{"organization": "Portell, Xavier, Pot, Valerie, Ebrahimi, Ali, Monga, Olivier, Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/978-3-031-12176-0_11"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-12176-0_11", "name": "item", "description": "10.1007/978-3-031-12176-0_11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-12176-0_11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/s10113-020-01617-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:37Z", "type": "Journal Article", "created": "2020-02-28", "title": "Future soil loss in highland Ethiopia under changing climate and land use", "description": "Soil erosion caused by climate and land-use changes is one of the biggest environmental challenges in highland Ethiopia. The aim of this study was to assess the future soil erosion risks and evaluate the potential conservation measures in the Rib watershed, northwestern highland Ethiopia. We used the HadGEM2-ES model with a moderate greenhouse gas (GHG) concentration scenario (RCP4.5) to project the future climate. The future land-use patterns were predicted using the CA-Markov model. We integrated the RUSLE model with GIS to estimate the spatial distribution of soil loss and identify erosion risk areas. We found that the Rib watershed is highly vulnerable to future climate and land-use changes, leading to a high soil erosion risk. Despite slight growth of forest cover during the study period, the total soil loss for the watershed was estimated to be 7.93\u2009\u00d7\u2009106\u00a0t\u00a0year\u22121 in 2017 and was predicted to increase to 9.75\u2009\u00d7\u2009106\u00a0t\u00a0year\u22121 in 2050, an increase of about 23%. The increase in forest cover was due to the expansion of the area of eucalyptus plantations which are more prone to erosion. Moreover, field survey showed that the residual native forests are sparsely vegetated and mostly used for cattle grazing, increasing the erosion risk even more. In contrast, the combined use of afforestation with native trees and physical soil conservation measures in the upper areas of the catchment could decrease soil loss by 62%. Our results stress the importance of combining soil conservation measures, including converting eucalyptus plantations to native forests, to mitigate the effects of future climate change and increased agricultural production on soil erosion.", "keywords": ["2. Zero hunger", "13. Climate action", "HadGEM2-ES model", "Modeling", "Nature-based solutions", "CA-Markov model", "0401 agriculture", " forestry", " and fisheries", "RUSLE model", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10113-020-01617-6.pdf"}, {"href": "https://doi.org/10.1007/s10113-020-01617-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Regional%20Environmental%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10113-020-01617-6", "name": "item", "description": "10.1007/s10113-020-01617-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10113-020-01617-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-28T00:00:00Z"}}, {"id": "10.1007/s10533-009-9381-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:43Z", "type": "Journal Article", "created": "2009-10-13", "title": "Plant-Soil Interactions And Acclimation To Temperature Of Microbial-Mediated Soil Respiration May Affect Predictions Of Soil Co2 Efflux", "description": "Open AccessPeer reviewed", "keywords": ["Life Sciences", " general", "Carbon cycle modeling", "2. Zero hunger", "Ecosystem ecology", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "15. Life on land", "Biogeosciences", "Ecosystems", "6. Clean water", "general", "13. Climate action", "Earth Sciences", "Environmental Chemistry", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Earth-Surface Processes", "Water Science and Technology"]}, "links": [{"href": "https://escholarship.org/content/qt74h8k7gh/qt74h8k7gh.pdf"}, {"href": "https://doi.org/10.1007/s10533-009-9381-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-009-9381-1", "name": "item", "description": "10.1007/s10533-009-9381-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-009-9381-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-10-14T00:00:00Z"}}, {"id": "10.1007/s10661-023-11079-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:46Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract

Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.Managed grasslands have the potential to store carbon (C) and partially mitigate climate change. However, it remains difficult to predict potential C storage under a given soil or management practice. To study C storage dynamics due to long-term (1952\uffe2\uff80\uff932009) phosphorus (P) fertilizer and irrigation treatments in New Zealand grasslands, we measured radiocarbon (14C) in archived soil along with observed changes in C stocks to constrain a compartmental soil model. Productivity increases from P application and irrigation in these trials resulted in very similar C accumulation rates between 1959 and 2009. The \uffe2\uff88\uff8614C changes over the same time period were similar in plots that were both irrigated and fertilized, and only differed in a non-irrigated fertilized plot. Model results indicated that decomposition rates of fast cycling C (0.1 to 0.2\uffc2\uffa0year\uffe2\uff88\uff921) increased to nearly offset increases in inputs. With increasing P fertilization, decomposition rates also increased in the slow pool (0.005 to 0.008\uffc2\uffa0year\uffe2\uff88\uff921). Our findings show sustained, significant (i.e. greater than 4 per mille) increases in C stocks regardless of treatment or inputs. As the majority of fresh inputs remain in the soil for less than 10\uffc2\uffa0years, these long term increases reflect dynamics of the slow pool. Additionally, frequent irrigation was associated with reduced stocks and increased decomposition of fresh plant material. Rates of C gain and decay highlight trade-offs between productivity, nutrient availability, and soil C sequestration as a climate change mitigation strategy.Suboptimal water and nutrient availability are primary constraints in global agriculture. Root anatomy plays key roles in soil resource acquisition. In this article we summarize evidence that root anatomical phenotypes present opportunities for crop breeding.

Scope

Root anatomical phenotypes influence soil resource acquisition by regulating the metabolic cost of soil exploration, exploitation of the rhizosphere, the penetration of hard soil domains, the axial and radial transport of water, and interactions with soil biota including mycorrhizal fungi, pathogens, insects, and the rhizosphere microbiome. For each of these topics we provide examples of anatomical phenotypes which merit attention as selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of phenotypic plasticity, integrated phenotypes, C sequestration, in silico modeling, and novel methods to phenotype root anatomy including image analysis tools.

Conclusions

An array of anatomical phenes have substantial importance for the acquisition of water and nutrients. Substantial phenotypic variation exists in crop germplasm. New tools and methods are making it easier to phenotype root anatomy, determine its genetic control, and understand its utility for plant fitness. Root anatomical phenotypes are underutilized yet attractive breeding targets for the development of the efficient, resilient crops urgently needed in global agriculture.

", "keywords": ["Carbon sequestration", "0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "Root; Anatomy; Water; Nutrients; Transport; Insects; Pathogens; Mycorrhiza; Carbon sequestration; Modeling; Image analysis; Plasticity", "Plasticity", "Modeling", "Water", "Transport", "Nutrients", "15. Life on land", "01 natural sciences", "Image analysis", "Insects", "03 medical and health sciences", "Root", "Anatomy", "Pathogens", "Mycorrhiza"]}, "links": [{"href": "https://doi.org/10.1007/s11104-021-05010-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-021-05010-y", "name": "item", "description": "10.1007/s11104-021-05010-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-021-05010-y"}, {"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": "10.1007/s11104-023-06301-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:02Z", "type": "Journal Article", "created": "2023-10-04", "title": "Root phenotypes for improved nitrogen capture", "description": "Abstract Background

Suboptimal nitrogen availability is a primary constraint for crop production in low-input agroecosystems, while nitrogen fertilization is a primary contributor to the energy, economic, and environmental costs of crop production in high-input agroecosystems. In this article we consider avenues to develop crops with improved nitrogen capture and reduced requirement for nitrogen fertilizer.

Scope

Intraspecific variation for an array of root phenotypes has been associated with improved nitrogen capture in cereal crops, including architectural phenotypes that colocalize root foraging with nitrogen availability in the soil; anatomical phenotypes that reduce the metabolic costs of soil exploration, improve penetration of hard soil, and exploit the rhizosphere; subcellular phenotypes that reduce the nitrogen requirement of plant tissue; molecular phenotypes exhibiting optimized nitrate uptake kinetics; and rhizosphere phenotypes that optimize associations with the rhizosphere microbiome. For each of these topics we provide examples of root phenotypes which merit attention as potential selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of soil hydrology and impedance, phenotypic plasticity, integrated phenotypes, in silico modeling, and breeding strategies using high throughput phenotyping for co-optimization of multiple phenes.

Conclusions

Substantial phenotypic variation exists in crop germplasm for an array of root phenotypes that improve nitrogen capture. Although this topic merits greater research attention than it currently receives, we have adequate understanding and tools to develop crops with improved nitrogen capture. Root phenotypes are underutilized yet attractive breeding targets for the development of the nitrogen efficient crops urgently needed in global agriculture.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "Plasticity", "Marschner Review", "Nitrogen", "Physiology", "Nitrogen; Root; Anatomy; Architecture; Soil; Crop breeding; Root phenotyping; Modeling; Rhizosphere; Plasticity; Physiology", "Modeling", "Root phenotyping", "15. Life on land", "01 natural sciences", "Soil", "03 medical and health sciences", "Root", "FOS: Biological sciences", "Architecture", "Rhizosphere", "Crop breeding", "Anatomy", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/10.1007/s11104-023-06301-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-023-06301-2", "name": "item", "description": "10.1007/s11104-023-06301-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-023-06301-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-04T00:00:00Z"}}, {"id": "10.1007/s11368-012-0477-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:07Z", "type": "Journal Article", "created": "2012-02-07", "title": "Predicting Long-Term Organic Carbon Dynamics In Organically Amended Soils Using The Cqestr Model", "description": "Peer reviewed", "keywords": ["C. SEQUESTRATION; CROP RESIDUE AND MANURE; MODELING; ORGANIC AMENDMENT; SOIL ORGANIC MATTER", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "C sequestration | Crop residue | Manure | Modeling | Organic amendment | Soil organic matter", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s11368-012-0477-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Soils%20and%20Sediments", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11368-012-0477-1", "name": "item", "description": "10.1007/s11368-012-0477-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11368-012-0477-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-02-08T00:00:00Z"}}, {"id": "10.1016/j.agee.2009.07.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:19Z", "type": "Journal Article", "created": "2009-07-31", "title": "Tillage And Cropping Effects On Soil Organic Carbon In Mediterranean Semiarid Agroecosystems: Testing The Century Model", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Soil organic carbon", "13. Climate action", "Dryland agroecosystems", "0401 agriculture", " forestry", " and fisheries", "Semiarid Spain", "04 agricultural and veterinary sciences", "15. Life on land", "Simulation modeling", "Tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2009.07.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2009.07.001", "name": "item", "description": "10.1016/j.agee.2009.07.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2009.07.001"}, {"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": "10.1016/j.agrformet.2018.05.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:28Z", "type": "Journal Article", "created": "2018-06-14", "title": "Partitioning of evapotranspiration in remote sensing-based models", "description": "Abstract Satellite based retrievals of evapotranspiration (ET) are widely used for assessments of global and regional scale surface fluxes. However, the partitioning of the estimated ET between soil evaporation, transpiration, and canopy interception regularly shows strong divergence between models, and to date, remains largely unvalidated. To examine this problem, this paper considers three algorithms: the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MODIS), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), and the Global Land Evaporation Amsterdam Model (GLEAM). Surface flux estimates from these three models, obtained via the WACMOS-ET initiative, are compared against a comprehensive collection of field studies, spanning a wide range of climates and land cover types. Overall, we find errors between estimates of field and remote sensing-based soil evaporation (RMSD\u202f=\u202f90\u2013114%, r2\u202f=\u202f0.14\u20130.25, N\u202f=\u202f35), interception (RMSD\u202f=\u202f62\u2013181%, r2\u202f=\u202f0.39\u20130.85, N\u202f=\u202f13), and transpiration (RMSD\u202f=\u202f54\u2013114%, r2 \u202f=\u202f0.33\u20130.55, N\u202f=\u202f35) are relatively large compared to the combined estimates of total ET (RMSD\u202f=\u202f35\u201349%, r2 \u202f=\u202f0.61\u20130.75, N\u202f=\u202f35). Errors in modeled ET components are compared between land cover types, field methods, and precipitation regimes. Modeled estimates of soil evaporation were found to have significant deviations from observed values across all three models, while the characterization of vegetation effects also influences errors in all three components. Improvements in these estimates, and other satellite based partitioning estimates are likely to lead to better understanding of the movement of water through the soil-plant-water continuum.", "keywords": ["Evapotranspiration", "0208 environmental biotechnology", "Modeling", "0207 environmental engineering", "02 engineering and technology", "Remote sensing", "15. Life on land", "6. Clean water", "Transpiration", "13. Climate action", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "Soil evaporation", "Partitioning"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.05.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.05.010", "name": "item", "description": "10.1016/j.agrformet.2018.05.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.05.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1016/j.agsy.2005.09.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:29Z", "type": "Journal Article", "created": "2006-09-28", "title": "A Simulation-Based Analysis Of Productivity And Soil Carbon In Response To Time-Controlled Rotational Grazing In The West African Sahel Region", "description": "In the Sahel region of West Africa, the traditional organization of the population and the grazing land avoided overexploitation of pastures. Since independence in the 1960s, grazing lands have been opened to all without specific guidance, and the vulnerability of the pastures to degradation has increased. Rotational grazing is postulated as a possible solution to provide higher pasture productivity, higher animal loads per unit land, and perhaps improved soil carbon storage. The objective of this study was to conduct a simulation-based assessment of the impact of rotational grazing management on pasture biomass production, grazing efficiency, animal grazing requirement satisfaction, and soil carbon storage in the Madiama Commune, Mali. The results showed that grazing intensity is the primary factor influencing the productivity of annual pastures and their capacity to provide for animal grazing requirements. Rotating the animals in paddocks is a positive practice for pasture protection that showed advantage as the grazing pressure increased. Increasing the size of the reserve biomass not available for grazing, which triggers the decision of taking the animals off the field, provided better pasture protection but reduced animal grazing requirements satisfaction. In terms of soil carbon storage, all management scenarios led to reduction of soil carbon at the end of the 50-year simulation periods, ranging between 4% and 5% of the initial storage. The differences in reduction as a function of grazing intensity were of no practical significance in these soils with very low organic matter content, mostly resistant to decomposition.", "keywords": ["Carbon sequestration", "Livestock management", "2. Zero hunger", "Soil organic matter", "Grazing systems", "Rotation", "Rotational grazing", "Pastures", "Soil carbon storage", "Controlled grazing", "04 agricultural and veterinary sciences", "15. Life on land", "Pasture management", "Soil carbon", "Simulation modeling", "Semiarid zones", "Paddocks", "Sahel", "Range management", "West Africa", "0401 agriculture", " forestry", " and fisheries", "Cattle", "Field Scale", "Productivity"], "contacts": [{"organization": "Washington State University Bryan Hall, P.O. Box 645121, Pullman, WA 99164-5121, USA ( host institution ), Badini, Oumarou, St\u00f6ckle, Claudio O., Jones, Jim W., Nelson, Roger, Kodio, Amadou, Keita, Moussa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agsy.2005.09.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agsy.2005.09.010", "name": "item", "description": "10.1016/j.agsy.2005.09.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agsy.2005.09.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-04-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2018.06.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:30Z", "type": "Journal Article", "created": "2018-06-18", "title": "Estimating the water budget components of irrigated crops: Combining the FAO-56 dual crop coefficient with surface temperature and vegetation index data", "description": "Abstract The FAO-56 dual crop coefficient (FAO-2Kc) model has been extensively used at the field scale to estimate the crop water requirements by means of the simulated evapotranspiration (ET) and its two components evaporation (E) and transpiration (T). Given that the main limitation of FAO-2Kc for operational irrigation management over large areas is the unavailability (over most irrigated areas) of irrigation data, this study investigates the feasibility 1) to constrain the FAO-2Kc ET from LST and VI data, 2) to retrieve irrigation amounts and dates from LST and VI data and 3) to estimate the root-zone soil moisture (RZSM) at the daily scale. In practice, the vegetation and soil temperatures retrieved from LST/VI data are used to estimate the FAO-2Kc vegetation stress coefficient (Ks) and soil evaporation reduction coefficient (Kr), respectively. The modeling and remote sensing combined approach is tested over a wheat crop field in central Morocco, and results are evaluated in terms of ET, irrigation and RZSM estimates. ET is estimated with a RMSE of 0.68\u202fmm day-1 compared to 0.84\u202fmm day-1 for the standard (without using LST data) FAO-2Kc based on tabulated values for the parameters. The total irrigation depth (67\u202fmm) is correctly estimated and is very close to the actual effective irrigation (69.8\u202fmm) applied by the farmer. Daily RZSM is estimated with an R2 value of 0.68 (0.42) and a RMSE value of 0.034 (0.061) m3 m-3 by forcing FAO-2Kc using the retrieved irrigation (from LST-derived estimates and precipitation only). Since spaceborne LST data are currently not available at both high-spatial and high-temporal resolution, a sensitivity analysis is finally undertaken to assess the potential and applicability of the proposed methodology to temporally-sparse thermal data.", "keywords": ["FAO-56", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Root-zone soil moisture", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Root-Zone Soil Moisture", "Surface Temperature", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "01 natural sciences", "6. Clean water", "Surface temperature", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Irrigation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2018.06.014"}, {"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": "10.1016/j.agwat.2018.06.014", "name": "item", "description": "10.1016/j.agwat.2018.06.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2018.06.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "10.1016/j.anopes.2021.100003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:32Z", "type": "Journal Article", "created": "2022-02-07", "title": "Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn", "description": "Open AccessInternational audience", "keywords": ["2. Zero hunger", "0402 animal and dairy science", "600", "Ruminants", "04 agricultural and veterinary sciences", "Greenhouse gas", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "630", "Modelling", "13. Climate action", "[SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "Precision livestock farming", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "[SDV.SA.SPA] Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "Enteric fermentation"]}, "links": [{"href": "https://doi.org/10.1016/j.anopes.2021.100003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Animal%20-%20Open%20Space", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.anopes.2021.100003", "name": "item", "description": "10.1016/j.anopes.2021.100003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.anopes.2021.100003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1016/j.biombioe.2021.105975", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:41Z", "type": "Journal Article", "created": "2021-02-10", "title": "SunnGro: A new crop model for the simulation of sunn hemp (Crotalaria juncea L.) grown under alternative management practices", "description": "Abstract Sunn hemp (Crotalaria juncea L.) is a fast growing, drought tolerant legume crop with potential as a biomass feedstock for advanced biofuels in Southern Europe, grown in either a single or double crop system. This study presents a new simulation model, SunnGro, which reproduces sunn hemp productivity, while providing a detailed description of leaf/branch size heterogeneity and its evolution during the vegetative season. The model was calibrated and validated using 20 field datasets collected from 2016 to 2018 in Greece, Spain, and Italy under non-limiting soil water conditions. High correlation between the simulated and measured values of branch number (R2\u00a0=\u00a00.80), leaf number (R2\u00a0=\u00a00.92), and biomass accumulation (0.67", "keywords": ["2. Zero hunger", "0106 biological sciences", "0401 agriculture", " forestry", " and fisheries", "Advanced biofuel; Bioenergy crop; BioMA modeling platform; Crop intensification; Crop rotation; Double crop; Legume", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/855058/2/1-s2.0-S096195342100012X-main.pdf"}, {"href": "https://doi.org/10.1016/j.biombioe.2021.105975"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biomass%20and%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biombioe.2021.105975", "name": "item", "description": "10.1016/j.biombioe.2021.105975", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biombioe.2021.105975"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1016/j.biortech.2018.06.099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:42Z", "type": "Journal Article", "created": "2018-07-03", "title": "ADM1 based mathematical model of trace element precipitation/dissolution in anaerobic digestion processes", "description": "Due to the complex biogeochemistry of trace elements (TEs, e.g. Fe, Ni and Co) in anaerobic digestion processes, their role and fate is poorly understood. Challenging, time consuming and low detection limits of analytical procedures necessitate recruitment of mathematical models. A dynamic mathematical model based on anaerobic digestion model no.1 (ADM1) has been proposed to simulate the effect of TEs. New chemical equilibrium association/dissociation and precipitation/dissolution reactions have been implemented to determine TE bioavailability and their effect on anaerobic digestion. The model considers interactions with inorganic carbonate (HCO3- and CO32-), phosphate (PO43-, HPO42-, H2PO4-) and sulfide (HS- and S2-). The effect of deficiency, activation, inhibition and toxicity of TEs on the biochemical processes has been modelled based on a dose-response type inhibition function. The new model can predict: the dynamics of TEs (among carbonate, sulfide and phosphate); the starvation of TEs; and the effect of initial sulfur-phosphorus ratio in an in-silico batch anaerobic system.", "keywords": ["ADM1", "Trace elements", "0211 other engineering and technologies", "Phosphorus", "Precipitation", "02 engineering and technology", "Models", " Theoretical", "01 natural sciences", "7. Clean energy", "Trace Elements", "Bioreactors", "Solubility", "Anaerobic digestion", "Anaerobic digestion; Trace elements; Mathematical modeling; Precipitation; ADM1", "Mathematical modeling", "Anaerobiosis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.biortech.2018.06.099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioresource%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biortech.2018.06.099", "name": "item", "description": "10.1016/j.biortech.2018.06.099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biortech.2018.06.099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-01T00:00:00Z"}}, {"id": "10.1016/j.biortech.2018.12.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:42Z", "type": "Journal Article", "created": "2018-12-22", "title": "ADM1 based mathematical model of trace element complexation in anaerobic digestion processes", "description": "In this study, a new model based on anaerobic digestion model no.1 (ADM1) approach has been proposed to simulate trace elements (TEs) complexation, precipitation and their effect on the anaerobic batch methane production. TEs complexation reactions with VFAs and EDTA have been incorporated in an extended ADM1 model which considers TE precipitation/dissolution reactions as well as biodegradation processes. The kinetic model tracks the dynamics of 90 state variables which constitute the components of the proposed anaerobic digestion (AD) model. The incorporation of the complexation reactions required the definition of new inorganic components (EDTA species) and new complexation process rates in the ADM1 framework. The charge balance was modified accordingly to consider the effects of the additional components. The new model is able to predict: a) the effect of TE-EDTA/VFA complexation on methane production, and b) the effect of the initial calcium and magnesium concentrations on process performance.", "keywords": ["ADM1", "Trace elements", "0211 other engineering and technologies", "02 engineering and technology", "Models", " Theoretical", "Fatty Acids", " Volatile", "01 natural sciences", "7. Clean energy", "Trace Elements", "[SDU] Sciences of the Universe [physics]", "Kinetics", "Biodegradation", " Environmental", "Bioreactors", "13. Climate action", "Anaerobic digestion", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Complexation", "Mathematical modeling", "Anaerobic digestion; Trace elements; Complexation; Mathematical modeling; ADM1;", "Anaerobiosis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.biortech.2018.12.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioresource%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biortech.2018.12.064", "name": "item", "description": "10.1016/j.biortech.2018.12.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biortech.2018.12.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/j.compag.2019.05.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:47Z", "type": "Journal Article", "created": "2019-05-13", "title": "A weighted multivariate spatial clustering model to determine irrigation management zones", "description": "Open AccessPeer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "Machine learning", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Precision irrigation", "15. Life on land", "01 natural sciences", "Spatial modeling", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.compag.2019.05.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Electronics%20in%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compag.2019.05.012", "name": "item", "description": "10.1016/j.compag.2019.05.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compag.2019.05.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2017.08.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:51Z", "type": "Journal Article", "created": 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\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c. \u0627\u062e\u062a\u0628\u0631\u0646\u0627 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u0647\u064a\u0627\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0636\u064a\u0629 \u0627\u0644\u0645\u0627\u062f\u064a\u0629\u060c LAPSUS_LS\u060c \u0627\u0644\u0630\u064a \u064a\u0635\u0645\u0645 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0639\u0644\u0649 \u0645\u0642\u064a\u0627\u0633 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647. \u062a\u062c\u0645\u0639 LAPSUS_LS \u0628\u064a\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0647\u064a\u062f\u0631\u0648\u0644\u0648\u062c\u064a \u0648\u0646\u0645\u0648\u0630\u062c \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0648\u0627\u0632\u0646 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\u0645\u062e\u062a\u0644\u0637\u0629 \u0644\u0644\u0628\u0646 \u0648\u062a\u062c\u0630\u064a\u0631 \u0639\u0645\u064a\u0642 \u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 (\u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 \u0628\u0648\u0628\u064a\u062c\u064a\u0627\u0646\u0627). \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u062c\u0630\u0631 \u0645\u0646 \u0643\u0648\u0633\u062a\u0627\u0631\u064a\u0643\u0627\u060c \u0623\u062c\u0631\u064a\u0646\u0627 \u0639\u0645\u0644\u064a\u0627\u062a \u0645\u062d\u0627\u0643\u0627\u0629 \u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0627\u0633\u062a\u062c\u0627\u0628\u0629 LAPSUS_LS \u0644\u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0648\u0643\u062b\u0627\u0641\u0629 \u0643\u062a\u0644\u0629 \u0627\u0644\u062a\u0631\u0628\u0629 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\u0644\u0643\u0646 \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 \u0644\u0644\u0628\u0646 \u0643\u0627\u0646\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629 \u0644\u0644\u063a\u0627\u064a\u0629\u060c \u0644\u0623\u0646 \u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0643\u0627\u0646\u062a \u0645\u0646\u062e\u0641\u0636\u0629 \u0639\u0644\u0649 \u0639\u0645\u0642 1.5 \u0645\u062a\u0631. \u0643\u0627\u0646 \u0644\u0646\u0642\u0644 \u0627\u0644\u062a\u0631\u0628\u0629 \u062a\u0623\u062b\u064a\u0631 \u0645\u062d\u062f\u0648\u062f \u0639\u0644\u0649 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0633\u0627\u0626\u0628\u0629 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a. \u0644\u0645 \u064a\u0643\u0646 \u0644\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0623\u064a \u062a\u0623\u062b\u064a\u0631 \u0643\u0628\u064a\u0631 \u0639\u0644\u0649 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0643\u0627\u0629. \u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u0627\u0633\u062a\u062c\u0627\u0628\u062a LAPSUS_LS \u0628\u0634\u0643\u0644 \u062c\u064a\u062f \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u062f\u062e\u0644\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u060c \u0648\u0647\u064a \u0645\u0631\u0634\u062d \u0645\u0646\u0627\u0633\u0628 \u0644\u0646\u0645\u0630\u062c\u0629 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u0629 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 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"Susceptibility Mapping", "Life Sciences", "Hydrology (agriculture)", "Geology", "Coffea arabica", "[SDV] Life Sciences [q-bio]", "Chemistry", "Landslide", "Plant Responses to Flooding Stress", "Slope Stability", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_6649", "Medicine", "Vegetation (pathology)", "http://aims.fao.org/aos/agrovoc/c_7377", "http://aims.fao.org/aos/agrovoc/c_7171", "0207 environmental engineering", "Soil Science", "Management", " Monitoring", " Policy and Law", "Transmissivity", "Environmental science", "mod\u00e8le math\u00e9matique", "FOS: Mathematics", "http://aims.fao.org/aos/agrovoc/c_12676", "http://aims.fao.org/aos/agrovoc/c_37897", "Landslide Hazards and Risk Assessment", "pratique culturale", "Biology", "0105 earth and related environmental sciences", "P36 - \u00c9rosion", " conservation et r\u00e9cup\u00e9ration des sols", "Soil science", "montagne", "Mechanical Engineering", "Slope stability", "Modeling", "Botany", "FOS: Earth and related environmental sciences", "15. Life on land", "Roots", "Bulk density", "Agronomy", "Geotechnical engineering", "13. Climate action", "Environmental Science", "Cohesion", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoleng.2017.08.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2017.08.010", "name": "item", "description": "10.1016/j.ecoleng.2017.08.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2017.08.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.eti.2023.103229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:01Z", "type": "Journal Article", "created": "2023-06-02", "title": "Modeling biochar-soil depth dependency on fecal coliform straining under subsurface drip irrigation", "description": "Funding Information: This work was supported by Shahrekord University, Iran. N. Sepehrnia is funded by a Marie Sk\u0142odowska-Curie Individual Fellowship, United Kingdom under the grant agreement No. 101026287. We acknowledge University of Aberdeen, UK for supporting this project. ; Peer reviewed", "keywords": ["GE", "Soil Science", "610", "Plant Science", "04 agricultural and veterinary sciences", "01 natural sciences", "6. Clean water", "510", "Biochar", "Maximum allowable depletion", "0401 agriculture", " forestry", " and fisheries", "Mathematical modeling", "Irrigation strategy", "HYDRUS", "Soil bacteria contamination", "GE Environmental Sciences", "General Environmental Science", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eti.2023.103229"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Technology%20%26amp%3B%20Innovation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eti.2023.103229", "name": "item", "description": "10.1016/j.eti.2023.103229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eti.2023.103229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1029/2018jg004795", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2019-04-09", "title": "Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model", "description": "Abstract

We evaluated global soil organic carbon (SOC) stocks and turnover time predictions from a global land model (ELMv1\uffe2\uff80\uff90ECA) integrated in an Earth System Model (E3SM) by comparing them with observed soil bulk and \uffce\uff9414C values around the world. We analyzed observed and simulated SOC stocks and \uffce\uff9414C values using machine learning methods at the Earth System Model grid cell scale (~200\uffc2\uffa0km). In grid cells with sufficient observations, the model provided reasonable estimates of soil carbon stocks across soil depth and \uffce\uff9414C values near the surface but underestimated \uffce\uff9414C at depth. Among many explanatory variables, soil albedo index, soil order, plant function type, air temperature, and SOC content were major factors affecting predicted SOC \uffce\uff9414C values. The influences of soil albedo index, soil order, and air temperature were primarily important in the shallow subsurface (\uffe2\uff89\uffa430\uffc2\uffa0cm). We also performed sensitivity studies using different vertical root distributions and decomposition turnover times and compared to observed SOC stock and \uffce\uff9414C profiles. The analyses support the role of vegetation in affecting soil carbon turnover, particularly in deep soil, possibly through supplying fresh carbon and degrading physical\uffe2\uff80\uff90chemical protection of SOC via root activities. Allowing for grid cell\uffe2\uff80\uff90specific rooting and decomposition rates substantially reduced discrepancies between observed and predicted \uffce\uff9414C values and SOC content. Our results highlight the need for more explicit representation of roots, microbes, and soil physical protection in land models.2 = 0.73), followed by Cubist (validation R2 = 0.66) and memorybased learning (validation R2 = 0.65). After LULC stratification, Cubist model achieved the best prediction (validation R2 = 0.76), improving the value of ratio of performance to interquartile distance by 0.11 compared to the global CNN model. Areas with high SOC values were mainly located in the city center. Stratification by LULC class is a promising strategy for addressing the impact of the soil-landscape diversity and complexity on vis\u2013NIR spectral estimation of SOC in urban soil spectral library.", "keywords": ["Urban soil", "Stratified modeling", "13. Climate action", "Soil organic carbon", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Deep learning", "04 agricultural and veterinary sciences", "15. Life on land", "Soil spectral library"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.116102"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2022.116102", "name": "item", "description": "10.1016/j.geoderma.2022.116102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.116102"}, {"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": "10.1016/j.soildyn.2018.12.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:55Z", "type": "Journal Article", "created": "2019-01-09", "title": "Modeling of high damping rubber bearings under bidirectional shear loading", "description": "Abstract The behavior of high damping rubber bearings is highly complex. The models that are currently available are generally limited to unidirectional motion and, in most cases, difficult to extend to general bidirectional loading. One of the major limitations is their inability to characterize the behavior of the bearings at different levels of shear deformation. In the present work, a set of bidirectional models are presented, obtained by combining relatively simple bi-dimensional formulations. The models are calibrated over a set of unidirectional test data and are shown to accurately describe the response of the bearings at low, intermediate and high strain levels using a single set of parameters. Validation is carried out using bidirectional displacement-controlled tests available in the literature and numerical simulations are performed of a base-isolated building subjected to free vibration and bidirectional earthquake excitation.", "keywords": ["ta212", "high damping rubber bearings (HDRB)", "mathematical modeling", "02 engineering and technology", "Seismic Isolation", "01 natural sciences", "0201 civil engineering", "0104 chemical sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.soildyn.2018.12.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Dynamics%20and%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soildyn.2018.12.017", "name": "item", "description": "10.1016/j.soildyn.2018.12.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soildyn.2018.12.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2018.01.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:26Z", "type": "Journal Article", "created": "2018-02-05", "title": "Elemental sulfur-based autotrophic denitrification and denitritation: microbially catalyzed sulfur hydrolysis and nitrogen conversions", "description": "The hydrolysis of elemental sulfur (S0) coupled to S0-based denitrification and denitritation was investigated in batch bioassays by microbiological and modeling approaches. In the denitrification experiments, the highest obtained NO3--N removal rate was 20.9\u202fmg/l\u00b7d. In the experiments with the biomass enriched on NO2-, a NO2--N removal rate of 10.7\u202fmg/l\u00b7d was achieved even at a NO2--N concentration as high as 240\u202fmg/l. The Helicobacteraceae family was only observed in the biofilm attached onto the chemically-synthesized S0 particles with a relative abundance up to 37.1%, suggesting it was the hydrolytic biomass capable of S0 solubilization in the novel surface-based model. S0-driven denitrification was modeled as a two-step process in order to explicitly account for the sequential reduction of NO3- to NO2- and then to N2 by denitrifying bacteria.", "keywords": ["Surface-based hydrolysis", "Autotrophic Processes", "Autotrophic denitrification; Autotrophic denitritation; Community structure; Elemental sulfur; Mathematical modeling; Surface-based hydrolysis", "Elemental sulfur", "Nitrates", "Nitrogen", "Hydrolysis", "0211 other engineering and technologies", "02 engineering and technology", "Autotrophic denitrification", "01 natural sciences", "6. Clean water", "Community structure", "Bioreactors", "Autotrophic denitritation", "Denitrification", "Autotrophic denitrification; Autotrophic denitritation; Elemental sulfur; Community structure; Surface-based hydrolysis; Mathematical modeling", "Mathematical modeling", "14. Life underwater", "Sulfur", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/698214/5/anastasiia%20JEMA.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2018.01.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2018.01.064", "name": "item", "description": "10.1016/j.jenvman.2018.01.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2018.01.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "10.3389/fenvs.2019.00113", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:29Z", "type": "Journal Article", "created": "2019-08-22", "title": "Modeling of Soil Functions for Assessing Soil Quality: Soil Biodiversity and Habitat Provisioning", "description": "Soil biodiversity and habitat provisioning is one of the soil functions that agricultural land provides to society. This paper describes assessment of the soil biodiversity function (SB function) as a proof of concept to be used in a decision support tool for agricultural land management. The SB function is defined as \u201cthe multitude of soil organisms and processes, interacting in an ecosystem, providing society with a rich biodiversity source and contributing to a habitat for aboveground organisms.\u201d So far, no single measure provides the full overview of the soil biodiversity and how a soil supports a habitat for a biodiverse ecosystem. We have assembled a set of attributes for a proxy-indicator system, based on four \u201cintegrated attributes\u201d: (1) soil nutrient status, (2) soil biological status, (3) soil structure, and (4) soil hydrological status. These attributes provide information to be used in a model for assessing the capacity of a soil to supply the SB function. A multi-criteria decision model was developed which comprises of 34 attributes providing information to quantify the four integrated attributes and subsequently assess the SB function for grassland and for cropland separately. The model predictions (in terms of low\u2014moderate\u2014high soil biodiversity status) were compared with expert judgements for a collection of 137 grassland soils in the Netherlands and 52 French soils, 29 grasslands, and 23 croplands. For both datasets, the results show that the proposed model predictions were statistically significantly correlated with the expert judgements. A sensitivity analysis indicated that the soil nutrient status, defined by attributes such as pH and organic carbon content, was the most important integrated attribute in the assessment of the SB function. Further progress in the assessment of the SB function is needed. This can be achieved by better information regarding land use and farm management. In this way we may make a valuable step in our attempts to optimize the multiple soil functions in agricultural landscapes, and hence the multifaceted role of soils to deliver a bundle of ecosystem services for farmers and citizens, and support land management and policy toward a more sustainable society.", "keywords": ["2. Zero hunger", "570", "land management", "soil biodiversity", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "habitat provisioning", "630", "ecosystem service", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Europe", "Environmental sciences", "soil function", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "qualitative modeling", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2019.00113"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2019.00113", "name": "item", "description": "10.3389/fenvs.2019.00113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2019.00113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-22T00:00:00Z"}}, {"id": "10.1016/j.jsv.2021.116196", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:30Z", "type": "Journal Article", "created": "2021-05-10", "title": "Structural identification with physics-informed neural ordinary differential equations", "description": "Open AccessISSN:0022-460X", "keywords": ["Scientific machine learning", "Structural damage detection", "Neural ordinary differential equations", "Structural health monitoring", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "Discrepancy modeling", "Physics-informed machine learning", "Structural identification", "0201 civil engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.jsv.2021.116196"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Sound%20and%20Vibration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jsv.2021.116196", "name": "item", "description": "10.1016/j.jsv.2021.116196", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jsv.2021.116196"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.1016/j.oneear.2020.07.009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:32Z", "type": "Journal Article", "created": "2020-08-21", "title": "How Simulations of the Land Carbon Sink Are Biased by Ignoring Fluvial Carbon Transfers: A Case Study for the Amazon Basin", "description": "Summary Land-surface models are important tools for simulation of the past, present, and future capacity of terrestrial ecosystems to absorb anthropogenic CO2 emissions. However, fluvial carbon (C) transfers are presently neglected in these models. Using the Amazon basin as a case study, we show that this negligence leads to significant underestimation of the net uptake of atmospheric C while terrestrial C storage changes are overestimated. These biases arise from the fact that C\u2014in reality, leached from soils and exported through the river network\u2014is instead represented as partly being respired and partly being stored in soils. Moreover, these biases scale mainly to the fluvial C export to the coast, despite aquatic CO2 emission to the atmosphere being the major pathway of riverine C exports. We further show that fluvial C transfers may change significantly in response to changes in either hydrology or in atmospheric C uptake by vegetation.", "keywords": ["[SDE] Environmental Sciences", "NEE", "550", "0207 environmental engineering", "G\u00e9n\u00e9ralit\u00e9s", "02 engineering and technology", "910", "15. Life on land", "01 natural sciences", "rivers", "land-surface modeling", "13. Climate action", "[SDE]Environmental Sciences", "carbon cycle", "NBP", "Amazon river", "fluvial carbon fluxes", "land carbon sink", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/315237/1/doi_298881.pdf"}, {"href": "https://doi.org/10.1016/j.oneear.2020.07.009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/One%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.oneear.2020.07.009", "name": "item", "description": "10.1016/j.oneear.2020.07.009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.oneear.2020.07.009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.3389/fenvs.2019.00131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:29Z", "type": "Journal Article", "created": "2019-09-11", "title": "Assessing the Climate Regulation Potential of Agricultural Soils Using a Decision Support Tool Adapted to Stakeholders' Needs and Possibilities", "description": "Open AccessSoils perform many functions that are vital to societies, among which their capability to regulate global climate has received much attention over the past decades. An assessment of the extent to which soils perform a specific function is not only important to appropriately value their current capacity, but also to make well-informed decisions about how and where to change soil management to align the delivered soil functions with societal demands. To obtain an overview of the capacity of soils to perform different functions, accurate and easy-to-use models are necessary. A problem with most currently-available models is that data requirements often exceed data availability, while generally a high level of expert knowledge is necessary to apply these models. Therefore, we developed a qualitative model to assess how agricultural soils function with respect to climate regulation. The model is driven by inputs about agricultural management practices, soil properties and environmental conditions. To reduce data requirements on stakeholders, the 17 input variables are classified into either (1) three classes: low, medium and high or (2) the presence or absence of a management practice. These inputs are combined using a decision tree with internal integration rules to obtain an estimate of the magnitude of N2O emissions and carbon sequestration. These two variables are subsequently combined into an estimate of the capacity of a soil to perform the climate regulation function. The model was tested using data from long-term field experiments across Europe. This showed that the model is generally able to adequately assess this soil function across a range of environments under different management practices. In a next step, this model will be combined with models to assess other soil functions (soil biodiversity, primary productivity, nutrient cycling and water regulation and purification). This will allow the assessment of trade-offs between these soil functions for agricultural land across Europe.", "keywords": ["2. Zero hunger", "N2O emissions", "agroecosystems", "qualitative decision modeling", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "climate regulation", "carbon sequestration", "Environmental sciences", "NO emissions", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "soil functions; climate regulation; carbon sequestration; N2O emissions; agroecosystems; qualitative decision modeling"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2019.00131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2019.00131", "name": "item", "description": "10.3389/fenvs.2019.00131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2019.00131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-11T00:00:00Z"}}, {"id": "10.1021/es303829w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:17Z", "type": "Journal Article", "created": "2012-12-21", "title": "Can Dispersed Biomass Processing Protect The Environment And Cover The Bottom Line For Biofuel?", "description": "This paper compares environmental and profitability outcomes for a centralized biorefinery for cellulosic ethanol that does all processing versus a biorefinery linked to a decentralized array of local depots that pretreat biomass into concentrated briquettes. The analysis uses a spatial bioeconomic model that maximizes profit from crop and energy products, subject to the requirement that the biorefinery must be operated at full capacity. The model draws upon biophysical crop input-output coefficients simulated with the Environmental Policy Integrated Climate (EPIC) model as well as market input and output prices, spatial transportation costs, ethanol yields from biomass, and biorefinery capital and operational costs. The model was applied to 82 cropping systems simulated across 37 subwatersheds in a 9-county region of southern Michigan in response to ethanol prices simulated to rise from $1.78 to $3.36 per gallon. Results show that the decentralized local biomass processing depots lead to lower profitability but better environmental performance, due to more reliance on perennial grasses than the centralized biorefinery. Simulated technological improvement that reduces the processing cost and increases the ethanol yield of switchgrass by 17% could cause a shift to more processing of switchgrass, with increased profitability and environmental benefits.", "keywords": ["2. Zero hunger", "Michigan", "Ethanol", "Biomass production", " bioenergy supply", " cellulosic ethanol", " environmental trade-off analysis", " bioeconomic modeling", " EPIC", " spatial configuration", " local biomass processing", " Crop Production/Industries", " Environmental Economics and Policy", " Production Economics", " Resource /Energy Economics and Policy", " Q16", " Q15", " Q57", " Q18", "", "02 engineering and technology", "Environment", "Models", " Theoretical", "15. Life on land", "7. Clean energy", "13. Climate action", "Biofuels", "Costs and Cost Analysis", "0202 electrical engineering", " electronic engineering", " information engineering", "Computer Simulation", "Biomass"], "contacts": [{"organization": "Egbendewe-Mondzozo, Aklesso, Swinton, Scott M., Bals, Bryan D., Dale, Bruce E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1021/es303829w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/es303829w", "name": "item", "description": "10.1021/es303829w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/es303829w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-11T00:00:00Z"}}, {"id": "10.1016/j.rse.2023.113621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:35Z", "type": "Journal Article", "created": "2023-05-13", "title": "Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations", "description": "In preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e. the Water Cloud Model (WCM) and the Support Vector Regression (SVR). Both forward operators were calibrated (2014\u20132018) with 1-km Sentinel-1 backscatter ( ) observations in VV and VH polarisation, for three different study domains in Europe. For the validation period (2019\u20132021), the simulations showed reasonable performances around Czech Republic and the Iberian Peninsula, to good performances over Belgium, but with strong variations within each domain. The domain-averaged root mean square difference between the model and Sentinel-1 remained below 2 dB for both forward operators and all three study domains, and the mean bias for VV remained close to 0 dB, and close 0.5 dB for the VH polarisation. The WCM and SVR performed better in VV than VH and overall the SVR performed slightly better in mapping the AquaCrop soil moisture and vegetation to backscatter than the WCM. Additionally, the assumed linear relationship in the WCM between soil moisture and soil holds better for VV than for VH. The remaining differences between WCM or SVR simulations and Sentinel-1 observations are mainly caused by AquaCrop model errors.", "keywords": ["Agriculture and Food Sciences", "Crop biomass", "YIELD RESPONSE", "ASSIMILATION", "Backscatter modeling", "LEAF-AREA INDEX", "RADAR BACKSCATTER", "BIOMASS", "SAR BACKSCATTER", "AquaCrop optimisation", "13. Climate action", "SURFACE SOIL-MOISTURE", "Earth and Environmental Sciences", "SUPPORT", "Sentinel-1", "WATER", "Soil moisture", "FAO CROP MODEL"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2023.113621"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2023.113621", "name": "item", "description": "10.1016/j.rse.2023.113621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2023.113621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1016/j.rset.2022.100018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:36Z", "type": "Journal Article", "created": "2022-02-20", "title": "The Ethiopian energy sector and its implications for the SDGs and modeling", "description": "The level and mix of energy supply and consumption have substantial roles in shaping the sustainable development pathway of a country. This is particularly important in developing regions where access to modern energy sources remains limited. This paper gives a narrative overview of the energy sector in Ethiopia. It presents the key historical trends and outstanding issues in the energy sector. It also explores the ways through which energy transition could support achieving the Sustainable Development Goals (SDGs) in the country. The review shows that energy supply and consumption in Ethiopia are dominated by bioenergy (88%) and by households (88%), respectively. Electricity barely accounts for 3% of the total energy supply although its generation has increased by more than four times between 2004/05 and 2018/19. Furthermore, the dominance of bioenergy source and households demand is projected to continue until the middle of the century. This study identifies research gaps, particularly, in terms of linking the energy sector with the rest of the economy and the environment using multi-sectoral economic models. Such advanced modeling is constrained by the lack of centrally coordinated energy data source among others. Creating an open platform that facilitates information exchange between energy planning institutions and academic researchers could be a crucial step in this regard.", "keywords": ["Sustainable development", "Energy security", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Energy security", " Energy transition", " Energy modeling", " Sustainable development", " SDGs", " Ethiopia", "Energy modeling", "TJ807-830", "Ethiopia", "02 engineering and technology", "Energy transition", "SDGs", "Renewable energy sources"], "contacts": [{"organization": "Yalew, Amsalu Woldie", "roles": ["creator"]}]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/5008982/2/Yalew_2022_The%20Ethiopian%20energy%20sector%20and%20its%20implications%20for%20the%20SDGs%20and%20modelling.pdf"}, {"href": "https://doi.org/10.1016/j.rset.2022.100018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20and%20Sustainable%20Energy%20Transition", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rset.2022.100018", "name": "item", "description": "10.1016/j.rset.2022.100018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rset.2022.100018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.08.021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:46Z", "type": "Journal Article", "created": "2007-11-09", "title": "Observed And Modelled Soil Carbon And Nitrogen Changes After Planting A Pinus Radiata Stand Onto Former Pasture", "description": "Abstract After reforesting pasture land, it is often observed that soil carbon stocks decrease. The present work reports findings from a site near Canberra, Australia, where a pine forest (Pinus radiata) was planted onto a former unimproved pasture site. We report a number of detailed observations seeking to understand the basis of the decline in soil C stocks. This is supported by simulations using the whole-ecosystem carbon and nitrogen cycling model CenW 3.1. The model indicated that over the first 18 years after forest establishment, the site lost about 5.5\u00a0t\u00a0C\u00a0ha\u22121 and 588\u00a0kgN\u00a0ha\u22121 from the soil. The C:N ratio of soil organic matter did not change in a systematic manner over the observational period. Carbon and nitrogen stocks contained in the biomass of the 18-year old pine stand exceeded that of the pasture by 88\u00a0t\u00a0C\u00a0ha\u22121 and 393\u00a0kgN\u00a0ha\u22121. An additional 6.1\u00a0t\u00a0C\u00a0ha\u22121 and 110\u00a0kgN\u00a0ha\u22121 accumulated in above-ground litter. These changes, together with the vertical distribution of carbon and nitrogen in the soil, agreed well with the observation at the site. It was assumed that over 18 years, there was also a loss of 86\u00a0kgN\u00a0ha\u22121 from the ecosystem because of normal gaseous losses during nitrogen turn-over and a small amount of nitrogen leaching. Those losses could not be replenished in the pine system without symbiotic biological nitrogen fixation, and there were no fertiliser additions. A simple mass balance approach indicated that the amount of nitrogen accumulating in plant biomass and the litter layer plus the assumed nitrogen loss from the site matched the amount of nitrogen lost from the soil organic nitrogen pool. This reduction in soil nitrogen, together with an unchanged C:N ratio, provided a simple and internally consistent explanation for the observed reduction of soil carbon after reforestation. It supports the general notion that trends in soil carbon upon land-use change can often be controlled by the possible fates of available soil nitrogen.", "keywords": ["550", "Nitrogen", "CenW", "Reforesting pasture lands", "910", "Carbon inorganic compounds", "01 natural sciences", "Ecosystems", "Nitrogen compounds", "C:N ratio", "Nitrogen fixation", "Pasture", "Biomass", "Reforestation", "0105 earth and related environmental sciences", "Keywords: Biological materials", "Pinus radiata", "Nitrogen cycling models", "modeling", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "Soil carbon", "Pine", "coniferous tree", "Pine forest", "Soils", "0401 agriculture", " forestry", " and fisheries", "Model"], "contacts": [{"organization": "Roger M. Gifford, LanBin Guo, Miko U. F. Kirschbaum, Miko U. F. Kirschbaum,", "roles": ["creator"]}]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/61078/5/Kirschbaum_Observed_and_modelled_soil_carbon.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/61078/7/01_Kirschbaum_Observed_and_modelled_soil_2008.pdf.jpg"}, {"href": "https://doi.org/10.1016/j.soilbio.2007.08.021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2007.08.021", "name": "item", "description": "10.1016/j.soilbio.2007.08.021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.08.021"}, {"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": "10.1029/2020jg006119", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2021-08-28", "title": "Impacts of Drying and Rewetting on the Radiocarbon Signature of Respired CO2 and Implications for Incubating Archived Soils", "description": "Abstract

The radiocarbon signature of respired CO2 (\uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2) measured in laboratory soil incubations integrates contributions from soil carbon pools with a wide range of ages, making it a powerful model constraint. Incubating archived soils enriched by \uffe2\uff80\uff9cbomb\uffe2\uff80\uff90C\uffe2\uff80\uff9d from mid\uffe2\uff80\uff9020th century nuclear weapons testing would be even more powerful as it would enable us to trace this pulse over time. However, air\uffe2\uff80\uff90drying and subsequent rewetting of archived soils, as well as storage duration, may alter the relative contribution to respiration from soil carbon pools with different cycling rates. We designed three experiments to assess air\uffe2\uff80\uff90drying and rewetting effects on \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 with constant storage duration (Experiment 1), without storage (Experiment 2), and with variable storage duration (Experiment 3). We found that air\uffe2\uff80\uff90drying and rewetting led to small but significant (\uffce\uffb1\uffc2\uffa0<\uffc2\uffa00.05) shifts in \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 relative to undried controls in all experiments, with grassland soils responding more strongly than forest soils. Storage duration (4\uffe2\uff80\uff9314\uffc2\uffa0y) did not have a substantial effect. Mean differences (95% CIs) for experiments 1, 2, and 3 were: 23.3\uffe2\uff80\uffb0 (\uffc2\uffb16.6), 19.6\uffe2\uff80\uffb0 (\uffc2\uffb110.3), and 29.3\uffe2\uff80\uffb0 (\uffc2\uffb129.1) for grassland soils, versus \uffe2\uff88\uff9211.6\uffe2\uff80\uffb0 (\uffc2\uffb14.1), 12.7\uffe2\uff80\uffb0 (\uffc2\uffb18.5), and \uffe2\uff88\uff9224.2\uffe2\uff80\uffb0 (\uffc2\uffb113.2) for forest soils. Our results indicate that air\uffe2\uff80\uff90drying and rewetting soils mobilizes a slightly older pool of carbon that would otherwise be inaccessible to microbes, an effect that persists throughout the incubation. However, as the bias in \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 from air\uffe2\uff80\uff90drying and rewetting is small, measuring \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 in incubations of archived soils appears to be a promising technique for constraining soil carbon models.Suboptimal nitrogen availability is a primary constraint for crop production in low-input agroecosystems, while nitrogen fertilization is a primary contributor to the energy, economic, and environmental costs of crop production in high-input agroecosystems. In this article we consider avenues to develop crops with improved nitrogen capture and reduced requirement for nitrogen fertilizer.

Scope

Intraspecific variation for an array of root phenotypes has been associated with improved nitrogen capture in cereal crops, including architectural phenotypes that colocalize root foraging with nitrogen availability in the soil; anatomical phenotypes that reduce the metabolic costs of soil exploration, improve penetration of hard soil, and exploit the rhizosphere; subcellular phenotypes that reduce the nitrogen requirement of plant tissue; molecular phenotypes exhibiting optimized nitrate uptake kinetics; and rhizosphere phenotypes that optimize associations with the rhizosphere microbiome. For each of these topics we provide examples of root phenotypes which merit attention as potential selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of soil hydrology and impedance, phenotypic plasticity, integrated phenotypes, in silico modeling, and breeding strategies using high throughput phenotyping for co-optimization of multiple phenes.

Conclusions

Substantial phenotypic variation exists in crop germplasm for an array of root phenotypes that improve nitrogen capture. Although this topic merits greater research attention than it currently receives, we have adequate understanding and tools to develop crops with improved nitrogen capture. Root phenotypes are underutilized yet attractive breeding targets for the development of the nitrogen efficient crops urgently needed in global agriculture.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "Plasticity", "Marschner Review", "Nitrogen", "Physiology", "Nitrogen; Root; Anatomy; Architecture; Soil; Crop breeding; Root phenotyping; Modeling; Rhizosphere; Plasticity; Physiology", "Modeling", "Root phenotyping", "15. Life on land", "01 natural sciences", "Soil", "03 medical and health sciences", "Root", "FOS: Biological sciences", "Architecture", "Rhizosphere", "Crop breeding", "Anatomy", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/20.500.11850/636573"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/636573", "name": "item", "description": "20.500.11850/636573", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/636573"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-04T00:00:00Z"}}, {"id": "10.1016/j.tplants.2018.05.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:08Z", "type": "Journal Article", "created": "2018-06-15", "title": "Out of Shape During Stress: A Key Role for Auxin", "description": "In most abiotic stress conditions, including salinity and water deficit, the developmental plasticity of the plant root is regulated by the phytohormone auxin. Changes in auxin concentration are often attributed to changes in shoot-derived long-distance auxin flow. However, recent evidence suggests important contributions by short-distance auxin transport from local storage and local auxin biosynthesis, conjugation, and oxidation during abiotic stress. We discuss here current knowledge on long-distance auxin transport in stress responses, and subsequently debate how short-distance auxin transport and indole-3-acetic acid (IAA) metabolism play a role in influencing eventual auxin accumulation and signaling patterns. Our analysis stresses the importance of considering all these components together and highlights the use of mathematical modeling for predictions of plant physiological responses.", "keywords": ["0301 basic medicine", "0303 health sciences", "abiotic stress", "Indoleacetic Acids", "auxin transport", "mathematical modeling", "Biological Transport", "IAA homeostasis", "Models", " Theoretical", "Plants", "Plant Roots", "Article", "03 medical and health sciences", "Plant Growth Regulators", "root phenotypic plasticity", "Stress", " Physiological", "auxin", "Plant Physiological Phenomena", "Signal Transduction"]}, "links": [{"href": "https://doi.org/10.1016/j.tplants.2018.05.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Trends%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.tplants.2018.05.011", "name": "item", "description": "10.1016/j.tplants.2018.05.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.tplants.2018.05.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "10.1016/j.watres.2025.123242", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:10Z", "type": "Journal Article", "created": "2025-02-03", "title": "How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study", "description": "Headwater streams in agricultural areas constitute significant sources of nitrous oxide (N2O) due to nutrient enrichment; however, their emissions are often overlooked in current environmental impact assessments. This scarcity highlights the importance of developing advanced decision tools to evaluate these contributions and create effective mitigation strategies. Our study establishes the first integrated modeling framework that combines a process-based model SWAT+ with a linear mixed model (LMM) to predict N2O emissions from a headwater agricultural river system in Belgium under diverse climate change and fertilization scenarios. In particular, the calibrated and validated SWAT+ model was used to simulate streamflow, nutrient transport, and crop yields under these scenarios, from which, together with biochemical data collected from sampling campaigns, riverine N2O emissions were predicted via LMM. Our results revealed hydrologically driven patterns in riverine N2O emissions, with peak emissions in winter and spring, driven by precipitations enhancing shallow subsurface flows, carrying leached nutrients from fields to the river, and fueling N2O emissions. These phenomena were intensified under climate change scenarios, especially during combined wetter and hotter winters and springs, which elevated headwater N2O emissions by 40 %. Moreover, when coupling these conditions with a 20 % increase in fertilizer rates, riverine N2O emissions would be boosted by 83 %. These findings underscore the importance of integrating land-surface and river processes, to effectively quantify the feedback loop between river nutrient enrichment and climate change under the influence of agricultural practices, and to support comprehensive mitigation strategies under the warming climate.", "keywords": ["Agriculture and Food Sciences", "Hybrid modeling", "Riverine nitrous oxide dynamics", "PROTOCOL", "CLIMATE-CHANGE", "IMPACT", "Agricultural GHG impact", "Climate change", "STREAMS", "PERFORMANCE", "Headwater streams", "OXIDE EMISSIONS"]}, "links": [{"href": "https://doi.org/10.1016/j.watres.2025.123242"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.watres.2025.123242", "name": "item", "description": "10.1016/j.watres.2025.123242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.watres.2025.123242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.1021/acs.est.3c04230", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:15Z", "type": "Journal Article", "created": "2023-08-30", "title": "Inland Waters Increasingly Produce and Emit Nitrous Oxide", "description": "Nitrous oxide (N2O) is a long-lived greenhouse gas and currently contributes \u223c10% to global greenhouse warming. Studies have suggested that inland waters are a large and growing global N2O source, but whether, how, where, when, and why inland-water N2O emissions changed in the Anthropocene remains unclear. Here, we quantify global N2O formation, transport, and emission along the aquatic continuum and their changes using a spatially explicit, mechanistic, coupled biogeochemistry-hydrology model. The global inland-water N2O emission increased from 0.4 to 1.3 Tg N yr-1 during 1900-2010 due to (1) growing N2O inputs mainly from groundwater and (2) increased inland-water N2O production, largely in reservoirs. Inland waters currently contribute 7 (5-10)% to global total N2O emissions. The highest inland-water N2O emissions are typically in and downstream of reservoirs and areas with high population density and intensive agricultural activities in eastern and southern Asia, southeastern North America, and Europe. The expected continuing excessive use of nutrients, dam construction, and development of suboxic conditions in aging reservoirs imply persisting high inland-water N2O emissions.", "keywords": ["inland waters", "Inland waters", "Asia", " Southern", "NO cycling", "Nitrous Oxide", "Integrated process-based modeling", "Greenhouse gas emission", "greenhouse gas emission", "Environmental Chemistry", "14. Life underwater", "closed N2O budget", "integrated process-based modeling", "N2O cycling", " long-term temporal changes", "Nitrous oxide", "long-term temporal changes", "nitrous oxide", "Water", "Agriculture", "General Chemistry", "15. Life on land", "N2O cycling", "6. Clean water", "closed NO budget", "13. Climate action", "spatial distributions", "Spatial distributions"]}, "links": [{"href": "https://doi.org/10.1021/acs.est.3c04230"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.3c04230", "name": "item", "description": "10.1021/acs.est.3c04230", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.3c04230"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-30T00:00:00Z"}}, {"id": "10.1029/2023jg007674", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:29Z", "type": "Journal Article", "created": "2024-06-05", "title": "Feasibility of Formulating Ecosystem Biogeochemical Models From Established Physical Rules", "description": "Abstract

To improve the predictive capability of ecosystem biogeochemical models (EBMs), we discuss the feasibility of formulating biogeochemical processes using physical rules that have underpinned the many successes in computational physics and chemistry. We argue that the currently popular empirically based approaches, such as multiplicative empirical response functions and the law of the minimum, will not lead to EBM formulations that can be continuously refined to incorporate improved mechanistic understanding and empirical observations of biogeochemical processes. Instead, we propose that EBM parameterizations, as a lossy data compression problem, can be better formulated using established physical rules widely used in computational physics and chemistry, and different biogeochemical processes can be more robustly integrated within a reactive\uffe2\uff80\uff90transport framework. Through several examples, we demonstrate how mathematical representations derived from physical rules can improve understanding of relevant biogeochemical processes and enable more effective communication between modelers, observationalists, and experimentalists regarding essential questions, such as what measurements are needed to meaningfully inform models and how can models generate new process\uffe2\uff80\uff90level hypotheses to test in empirical studies. Finally, while empirical models with more parameters are often less robust, physical rules\uffe2\uff80\uff90based models can be more robust and show lower predictive equifinality, stemming from their enhanced consistency in representations of processes, interactions and spatial scaling. &lt;p&gt;Understanding the initial and flow conditions of contemporary flows in Martian gullies, generally believed to be triggered and fluidized by CO&lt;sub&gt;2&lt;/sub&gt; sublimation, is crucial for deciphering climate conditions needed to trigger and sustain them. We employ the RAMMS (RApid Mass Movement Simulation) debris flow and avalanche model to back-calculate initial and flow conditions of recent flows in three gullies in Hale crater. We infer minimum release depths of 1.0&amp;#8211;1.5 m and initial release volumes of 100&amp;#8211;200 m&lt;sup&gt;3&lt;/sup&gt;. Entrainment leads to final flow volumes that are 2.5&amp;#8211;5.5 times larger than initially released, and entrainment is found necessary to match the observed flow deposits. Simulated mean cross-channel flow velocities decrease from 3&amp;#8211;4 m s&lt;sup&gt;-1&lt;/sup&gt; to ~1 m s&lt;sup&gt;-1&lt;/sup&gt; from release area to flow terminus, while flow depths generally decrease from 0.5&amp;#8211;1 m to 0.1&amp;#8211;0.2 m. The mean cross-channel erosion depth and deposition thicknesses are _0.1&amp;#8211;0.3 m. Back-calculated dry-Coulomb friction ranges from 0.1 to 0.25 and viscous turbulent friction between 100&amp;#8211;200 m s&lt;sup&gt;-2&lt;/sup&gt;, which are values similar to those of granular debris flows on Earth. These results suggest that recent flows in gullies are fluidized to a similar degree as are granular debris flows on Earth. Using a novel model for mass-flow fluidization by CO&lt;sub&gt;2&lt;/sub&gt; sublimation we are able to show that under Martian atmospheric conditions very small volumetric fractions of CO&lt;sub&gt;2&lt;/sub&gt; of ~1% within mass flows may indeed yield sufficiently large gas fluxes to cause fluidization and enhance flow mobility.&lt;/p&gt;

", "keywords": ["Atmospheric Science", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "0211 other engineering and technologies", "Soil Science", "Mars", "Hale crater", "02 engineering and technology", "Aquatic Science", "carbon dioxide; gullies; Hale crater; Mars; modeling; RAMMS", "551", "Oceanography", "01 natural sciences", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Geochemistry and Petrology", "Earth and Planetary Sciences (miscellaneous)", "SDG 13 - Climate Action", "Research Articles", "Water Science and Technology", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Ecology", "Palaeontology", "carbon dioxide", "Forestry", "modeling", "RAMMS", "Geophysics", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "gullies"]}, "links": [{"href": "http://dro.dur.ac.uk/28802/1/28802.pdf"}, {"href": "http://dro.dur.ac.uk/28802/2/28802.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JE005899"}, {"href": "https://doi.org/10.1029/2018JE005899"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018JE005899", "name": "item", "description": "10.1029/2018JE005899", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018JE005899"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=modeling&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=modeling&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=modeling&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=modeling&offset=50", "hreflang": "en-US"}], "numberMatched": 157, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-25T00:55:57.565196Z"}