{"type": "FeatureCollection", "features": [{"id": "10.1016/j.iswcr.2023.12.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:51Z", "type": "Journal Article", "created": "2023-12-20", "title": "Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information", "description": "Vegetative barriers have proven their effectiveness in controlling water erosion and enhancing other ecosystem services in agricultural areas. This characteristic has led to the conservation and promotion of vegetative barriers as landscape elements by the Common Agricultural Policy and other policy initiatives. Numerous reviews have dealt with the trapping efficiency of vegetated barriers, although they usually focus on studies from humid climates where their implantation and survival are more favourable. However, vegetated barriers are also an attractive alternative in arid and semi-arid climates. They limit competition for water and nutrients with crops to a reduced area compared to other best management practices, such as cover crops. This study presents a review of trapping efficiency of sediment, runoff, and nutrients (P and N) by vegetative barriers in regions of humid and arid, and semi-arid, climates, and a strategy based on sediment trapping efficiency probability, which in turn is based on the results obtained from our review. Different types of independent variables were grouped and identified for the review: related to the vegetative barrier dimension (buffer width, slope of the plot, and buffer area ratio), and related to the experimental conditions (type of vegetation in the buffer, soil protection of the non-buffered area, type of climate, type of experimental measurement and origin of rainfall). An exploratory analysis evaluated the significance of the experimental variables, which identified the need to focus on experiments under natural rainfall since those carried out with simulated rainfall presented statistically significant differences. In general, average trapping efficiencies for runoff and sediment were 40.1 and 62.6 %, respectively. For nutrients, values of trapping efficiencies had an average of 44.9 % for phosphorus and 38.4 % for nitrogen. Runoff and sediment trapping efficiency in arid and semi-arid regions tended to be higher than in humid regions. Regarding dimensional variables, a positive trend was observed in the runoff and sediment trapping efficiency with the width of the vegetative barrier, with a large variability across all the width range. Finally, based on the results of our review, we developed a probabilistic model for sediment trapping efficiency as a normalised cumulative probability distribution function for the two climatic regions separately. Also, we developed it as a function of the width of the vegetative barrier for each climatic region, to facilitate decision-making. This model shows that in 92 % of the cases, a vegetative barrier will reduce erosion in humid climates, while this trapping efficiency will be 100 % in semi-arid and arid conditions. This analysis showed that vegetative barriers are an alternative to other best management practices, e.g. cover crops, when there are operational or agronomic impediments to their implementation, having a high success rate in reducing erosion in any agricultural area.", "keywords": ["2. Zero hunger", "Connectivity", "Runoff", "Experimental plots", "Nutrients", "04 agricultural and veterinary sciences", "Sediment transport", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Buffer strip", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.12.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.12.001", "name": "item", "description": "10.1016/j.iswcr.2023.12.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.12.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:13Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.5194/gmd-18-3265-2025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:49Z", "type": "Journal Article", "created": "2025-06-03", "title": "HTAP3 Fires: towards a multi-model,   multi-pollutant study of fire impacts", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Open biomass burning has major impacts globally and regionally on atmospheric composition. Fire emissions include particulate matter, tropospheric ozone precursors, and greenhouse gases, as well as persistent organic pollutants, mercury, and other metals. Fire frequency, intensity, duration, and location are changing as the climate warms, and modelling these fires and their impacts is becoming more and more critical to inform climate adaptation and mitigation, as well as land management. Indeed, the air pollution from fires can reverse the progress made by emission controls on industry and transportation. At the same time, nearly all aspects of fire modelling \u2013 such as emissions, plume injection height, long-range transport, and plume chemistry \u2013 are highly uncertain. This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. Coordinated under the auspices of the Task Force on Hemispheric Transport of Air Pollution, the international atmospheric modelling and fire science communities are working towards the common goal of improving global fire modelling and using this multi-model experiment to provide estimates of fire pollution for impact studies. This paper outlines the research needs, opportunities, and options for the fire-focused multi-model experiments and provides guidance for these modelling experiments, outputs, and analyses that are to be pursued over the next 3\u00a0to 5\u00a0years. The paper proposes a plan for delivering specific products at key points over this period to meet important milestones relevant to science and policy audiences.                     </p></article>", "keywords": ["QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Atmospheric composition", "Air pollution", "Geology", "Sediment transport", "Southeast atlantic", "15. Life on land", "Tropospheric ozone", "7. Clean energy", "Fires", "Reactive nitrogen", "Impact studies", "Surface ozone", "13. Climate action", "Air-quality", "11. Sustainability", "Open biomass burning", "SDG 13 - Climate Action", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "Biomass-burning aerosol", "Wild-land fires", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Particulate matter", "Health impacts"]}, "links": [{"href": "https://doi.org/10.5194/gmd-18-3265-2025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-18-3265-2025", "name": "item", "description": "10.5194/gmd-18-3265-2025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-18-3265-2025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-28T00:00:00Z"}}, {"id": "10.5281/zenodo.10836974", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:02Z", "type": "Dataset", "title": "Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan", "description": "The current dataset was compiled to study sediment fingerprintings practices, i.e tracer selection and contribution modelling. Organic matter, elemental geochemistry, visible difuse spectrocolorimetric properties, radiocesium properties, and grain size were analysed were analysed in potential source material that may supply sediment to coastal rivers, here the upper part of the Mano river, draining the main Fukushima radioactive pollution plume (Japan). Four potential soil source materials (n = 68) were considered: undecontaminated cropland (n = 24), as non-decontaminated soil before the application of local decontamination policies, remediated cropland (n = 10), as decontaminated soil after the application of local decontamination policies, forest soils (n = 24) and subsurface material originating from channel bank collapse or landslides (n = 10; referred to as subsoil). A sediment core was collected in the Mano Dam lake (Hayama lake) on the 6th June 2021 and was sectionned into 1-cm layers (n = 38). Laboratory mixtures (n = 27) were made to assess different contribution levels from the sources.  The current dataset comprises four .csv files including data and metadata information and their respective descriptions of variables. The data set is composed of soil samples, sediment core layer and laboratory mixtures. Laboratory mixtures were prepared to provide a dataset to calibrate/validate un-mixing models implemented to address this research question and analysed in the same conditions and using the same equipment as the source/target material.  Recommended encoding format: latin1", "keywords": ["Sediment Tracing", "Fukushima Daiichi Nuclear Power Plan", "15. Life on land", "Sediment Source Fingerprinting", "Sediment transport", "7. Clean energy", "6. Clean water", "FDNPP", "Source-to-Sink", "Japan", "13. Climate action", "11. Sustainability", "Soil erosion", "Sediment", "Soil Erosion"], "contacts": [{"organization": "Chalaux-Clergue, Thomas, Evrard, Olivier, Durand, Roxanne, Caumon, Alison, Hayashi, Seiji, Tsuji, Hideki, Huon, Sylvain, Vaury, V\u00e9ronique, Wakiyama, Yoshifumi, Nakao, Atsushi, Laceby, J. Patrick, Onda, Yuichi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10836974"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10836974", "name": "item", "description": "10.5281/zenodo.10836974", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10836974"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-19T00:00:00Z"}}, {"id": "11250/3202867", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:11Z", "type": "Journal Article", "created": "2025-06-03", "title": "HTAP3 Fires: towards a multi-model,   multi-pollutant study of fire impacts", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Open biomass burning has major impacts globally and regionally on atmospheric composition. Fire emissions include particulate matter, tropospheric ozone precursors, and greenhouse gases, as well as persistent organic pollutants, mercury, and other metals. Fire frequency, intensity, duration, and location are changing as the climate warms, and modelling these fires and their impacts is becoming more and more critical to inform climate adaptation and mitigation, as well as land management. Indeed, the air pollution from fires can reverse the progress made by emission controls on industry and transportation. At the same time, nearly all aspects of fire modelling \u2013 such as emissions, plume injection height, long-range transport, and plume chemistry \u2013 are highly uncertain. This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. Coordinated under the auspices of the Task Force on Hemispheric Transport of Air Pollution, the international atmospheric modelling and fire science communities are working towards the common goal of improving global fire modelling and using this multi-model experiment to provide estimates of fire pollution for impact studies. This paper outlines the research needs, opportunities, and options for the fire-focused multi-model experiments and provides guidance for these modelling experiments, outputs, and analyses that are to be pursued over the next 3\u00a0to 5\u00a0years. The paper proposes a plan for delivering specific products at key points over this period to meet important milestones relevant to science and policy audiences.</p></article>", "keywords": ["Air pollution", "biomass burning Emissionen Klima Luftqualit\u00e4t", "Tropospheric ozone", "7. Clean energy", "Fires", "Surface ozone", "11. Sustainability", "SDG 13 - Climate Action", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Atmospheric composition", "Geology", "Sediment transport", "Southeast atlantic", "15. Life on land", "Reactive nitrogen", "Impact studies", "13. Climate action", "Air-quality", "Open biomass burning", "Biomass-burning aerosol", "Wild-land fires", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Particulate matter", "Health impacts"]}, "links": [{"href": "https://doi.org/11250/3202867"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11250/3202867", "name": "item", "description": "11250/3202867", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11250/3202867"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-28T00:00:00Z"}}, {"id": "10261/366351", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:55Z", "type": "Journal Article", "created": "2023-12-20", "title": "Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Connectivity", "Runoff", "Experimental plots", "Nutrients", "04 agricultural and veterinary sciences", "Sediment transport", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Buffer strip", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/366351"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366351", "name": "item", "description": "10261/366351", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366351"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "2117/430875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:57Z", "type": "Journal Article", "created": "2025-06-03", "title": "HTAP3 Fires: towards a multi-model,   multi-pollutant study of fire impacts", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Open biomass burning has major impacts globally and regionally on atmospheric composition. Fire emissions include particulate matter, tropospheric ozone precursors, and greenhouse gases, as well as persistent organic pollutants, mercury, and other metals. Fire frequency, intensity, duration, and location are changing as the climate warms, and modelling these fires and their impacts is becoming more and more critical to inform climate adaptation and mitigation, as well as land management. Indeed, the air pollution from fires can reverse the progress made by emission controls on industry and transportation. At the same time, nearly all aspects of fire modelling \u2013 such as emissions, plume injection height, long-range transport, and plume chemistry \u2013 are highly uncertain. This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. Coordinated under the auspices of the Task Force on Hemispheric Transport of Air Pollution, the international atmospheric modelling and fire science communities are working towards the common goal of improving global fire modelling and using this multi-model experiment to provide estimates of fire pollution for impact studies. This paper outlines the research needs, opportunities, and options for the fire-focused multi-model experiments and provides guidance for these modelling experiments, outputs, and analyses that are to be pursued over the next 3\u00a0to 5\u00a0years. The paper proposes a plan for delivering specific products at key points over this period to meet important milestones relevant to science and policy audiences.                     </p></article>", "keywords": ["Air pollution", "biomass burning Emissionen Klima Luftqualit\u00e4t", "Tropospheric ozone", "7. Clean energy", "Fires", "Surface ozone", "11. Sustainability", "SDG 13 - Climate Action", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Atmospheric composition", "Geology", "Sediment transport", "Southeast atlantic", "15. Life on land", "Reactive nitrogen", "Impact studies", "13. Climate action", "Air-quality", "Open biomass burning", "Biomass-burning aerosol", "Wild-land fires", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Particulate matter", "Health impacts"]}, "links": [{"href": "https://doi.org/2117/430875"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/430875", "name": "item", "description": "2117/430875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/430875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-28T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:00Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. 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Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "2629418b-f1c4-4697-947c-3e4ef6418d4c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.65, 44.67], [9.65, 44.78], [9.82, 44.78], [9.82, 44.67], [9.65, 44.67]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. 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