{"type": "FeatureCollection", "features": [{"id": "10.15454/yufpfd", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:53Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.3 \u201cThe science base of a strategic research agenda - Executive Summary\u201d", "description": "A summary presenting the challenges for soil carbon sequestration research, hypothesis to be further tested and key research (and innovation) products.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Geosciences"]}, "links": [{"href": "https://doi.org/10.15454/yufpfd"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/yufpfd", "name": "item", "description": "10.15454/yufpfd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/yufpfd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.15454/ywetvm", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:53Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.4: \"International Knowledge Synthesis activities\"", "description": "In order to understand soil\u2019s contribution to ecosystem services, large-scale modelling and mapping soil properties and processes are needed. This increased global understanding will show how to tackle multiple land based challenges through agricultural SOC sequestration. This report is detailing the harmonized spatial data sets and their use to create knowledge synthesis on the potential for SOC sequestration in agriculture and on the role of SOC for agricultural productivity, climate change mitigation and adaptation.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "ComputingMilieux_GENERAL", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Arias-Navarro, C., Folberth C., Gurriaran L., Havlik P., Kim J.H., Kuhnert M., Martin M., Mendes de Jesus J., Montanarella L., Poggio L., Skalsk\u00fd R., Balkovi\u010d J., Smith P., Soussana J.-F., van Dijk M., Yogo W., Batjes N., Bispo A., Bosma A., Ceschia E., Chenu C., de Sousa L., Deppermann A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/ywetvm"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/ywetvm", "name": "item", "description": "10.15454/ywetvm", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/ywetvm"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1594/pangaea.105302", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:02Z", "type": "Dataset", "title": "Alkenones and SST of sediment core GeoB3007-3", "keywords": ["Alkenone", " C37/C38m ratio", "Octatriaconta-16E", "23E-dien-2-one", "Alkenone", " C38:3Et+C38:2Et+C38:3Me+C38:2Me", "Octatriaconta-9E", "16E", "23E-trien-2-one", "unsaturation index UK38Me", "Sea surface temperature", "annual mean", "Octatriaconta-16E", "23E-dien-3-one", "Calculated from C37 alkenones Prahl Wakeham", "unsaturation index UK38", "C38 3Et C38 2Et", "23E trien 2 one", "University of Bremen GeoB", "C38 3Et C38 2Et C38 3Me C38 2Me", "Alkenone", " unsaturation index UK38", "Geosciences", " University of Bremen (GeoB)", "Octatriaconta 9E", "unsaturation index UK 37", "Calculated", "1987", "C37 C38 ratio", "MultiCorer", "Gas chromatography", "1993", "in Engel", "23E dien 2 one", "unsaturation index UK38Et", "sediment rock", "16E", "Calculated from C38 alkenones Brassel", "23E dien 3 one", "Natural Sciences", "C37 C38m ratio", "Geosciences", "Alkenone", " unsaturation index UK'37", "DEPTH", " sediment/rock", "Alkenone", " C38:3Et+C38:2Et", "Salinity correction factor", "Sea surface temperature", " annual mean", "Alkenone", " C37/C38 ratio", "AGE", "M31 3", "Calculated from C38 alkenones (Brassel", " 1993", " in Engel", " Organic Geochemistry)", "Meteor 1986", "Calculated from C37 alkenones (Prahl &amp; Wakeham", " 1987)", "Alkenone", " unsaturation index UK38Et", "M31/3", "Meteor (1986)", "Alkenone", " C37/C38e ratio", "Calculated from C37 alkenones (Prahl & Wakeham", " 1987)", "23E trien 3 one", "C37 C38e ratio", "Alkenone", " unsaturation index UK38Me", "Octatriaconta-9E", "16E", "23E-trien-3-one", "Alkenone", " C38:3Me+C38:2Me", "DEPTH", "Organic Geochemistry", "Octatriaconta 16E", "Alkenone", "C38 3Me C38 2Me"], "contacts": [{"organization": "Budziak, D\u00f6rte, M\u00fcller, Peter J,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.105302"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.105302", "name": "item", "description": "10.1594/pangaea.105302", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.105302"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-01-01T00:00:00Z"}}, {"id": "10.1594/pangaea.68681", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:02Z", "type": "Dataset", "title": "Color reflectance of sediment core GeoB6417-3", "keywords": ["Color reflectance at 590 nm", "Color reflectance at 540 nm", "Color reflectance at 460 nm", "Gravity corer (Kiel type)", "Color reflectance at 620 nm", "M46/4", "Color reflectance at 680 nm", "DEPTH", " sediment/rock", "Color reflectance at 700 nm", "Color reflectance at 550 nm", "Spectrophotometer Minolta CM 2002", "Color reflectance at 400 nm", "Color reflectance at 420 nm", "Color reflectance at 470 nm", "University of Bremen GeoB", "Geosciences", " University of Bremen (GeoB)", "Color reflectance at 640 nm", "Color reflectance at 610 nm", "Meteor 1986", "Color reflectance at 520 nm", "Color reflectance at 430 nm", "Color reflectance at 690 nm", "Color reflectance at 560 nm", "Color reflectance at 600 nm", "Color reflectance at 650 nm", "Color reflectance at 480 nm", "Meteor (1986)", "Color reflectance at 440 nm", "Color reflectance at 510 nm", "Color reflectance at 570 nm", "sediment rock", "Spectrophotometer Minolta CM-2002", "Gravity corer Kiel type", "Color reflectance at 530 nm", "Color reflectance at 660 nm", "DEPTH", "Color reflectance at 490 nm", "Color reflectance at 630 nm", "M46 4", "Color reflectance at 450 nm", "Color reflectance at 500 nm", "Natural Sciences", "Color reflectance at 670 nm", "Color reflectance at 580 nm", "Geosciences", "Color reflectance at 410 nm"], "contacts": [{"organization": "Wefer, Gerold", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.68681"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.68681", "name": "item", "description": "10.1594/pangaea.68681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.68681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-01-01T00:00:00Z"}}, {"id": "10.3390/rs12121946", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:34Z", "type": "Journal Article", "created": "2020-06-17", "title": "Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions", "description": "<p>Agricultural terraced landscapes, which are important historical heritage sites (e.g., UNESCO or Globally Important Agricultural Heritage Systems (GIAHS) sites) are under threat from increased soil degradation due to climate change and land abandonment. Remote sensing can assist in the assessment and monitoring of such cultural ecosystem services. However, due to the limitations imposed by rugged topography and the occurrence of vegetation, the application of a single high-resolution topography (HRT) technique is challenging in these particular agricultural environments. Therefore, data fusion of HRT techniques (terrestrial laser scanning (TLS) and aerial/terrestrial structure from motion (SfM)) was tested for the first time in this context (terraces), to the best of our knowledge, to overcome specific detection problems such as the complex topographic and landcover conditions of the terrace systems. SfM\uffe2\uff80\uff93TLS data fusion methodology was trialed in order to produce very high-resolution digital terrain models (DTMs) of two agricultural terrace areas, both characterized by the presence of vegetation that covers parts of the subvertical surfaces, complex morphology, and inaccessible areas. In the unreachable areas, it was necessary to find effective solutions to carry out HRT surveys; therefore, we tested the direct georeferencing (DG) method, exploiting onboard multifrequency GNSS receivers for unmanned aerial vehicles (UAVs) and postprocessing kinematic (PPK) data. The results showed that the fusion of data based on different methods and acquisition platforms is required to obtain accurate DTMs that reflect the real surface roughness of terrace systems without gaps in data. Moreover, in inaccessible or hazardous terrains, a combination of direct and indirect georeferencing was a useful solution to reduce the substantial inconvenience and cost of ground control point (GCP) placement. We show that in order to obtain a precise data fusion in these complex conditions, it is essential to utilize a complete and specific workflow. This workflow must incorporate all data merging issues and landcover condition problems, encompassing the survey planning step, the coregistration process, and the error analysis of the outputs. The high-resolution DTMs realized can provide a starting point for land degradation process assessment of these agriculture environments and supplies useful information to stakeholders for better management and protection of such important heritage landscapes.</p>", "keywords": ["data fusion", "VDP::Mathematics and natural science: 400::Geosciences: 450", "coregistration", "Science", "VDP::Technology: 500", "Q", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "direct georeferencing", "01 natural sciences", "VDP::Teknologi: 500", "data fusion; coregistration; TLS; SfM; terrace; direct georeferencing", "terrace", "13. Climate action", "SfM", "TLS", "VDP::Matematikk og Naturvitenskap: 400::Geofag: 450", "Coregistration; Data fusion; Direct georeferencing; SfM; Terrace; TLS", "General Earth and Planetary Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/162083/1/remotesensing_12_01946.pdf"}, {"href": "http://www.mdpi.com/2072-4292/12/12/1946/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3345525/1/Cucchiaro%20et%20al.%20%282020%29.pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/12/1946/pdf"}, {"href": "https://doi.org/10.3390/rs12121946"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12121946", "name": "item", "description": "10.3390/rs12121946", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12121946"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "10.18710/FJWV6X", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:10Z", "type": "Dataset", "title": "Replication Data for: Spatial variation in amount of carbon in boreal forest surface soil \u2013 the role of historical fires, hydro-topography, and contemporary vegetation", "description": "This dataset contains data on soil C and N stocks (from soil samples), charcoal weight, historical fire frequencies, year of last fire, bottom layer vegetation cover, topography, and woody cover from Trillemarka Nature reserve.", "keywords": ["Earth and Environmental Science", "History", "Humanities", "Hydro-topography", "Hydro topography", "13. Climate action", "Earth and Environmental Sciences", "Organic surface carbon stocks", "15. Life on land", "Forest fire history", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Haukenes, Vilde L., \u00c5sg\u00e5rd, Lisa, Asplund, Johan, Nybakken, Line, Rolstad, J\u00f8rund, Storaunet, Ken Olaf, Ohlson, Mikael,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18710/FJWV6X"}, {"rel": "self", "type": "application/geo+json", "title": "10.18710/FJWV6X", "name": "item", "description": "10.18710/FJWV6X", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18710/FJWV6X"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5194/amt-2021-82", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:17Z", "type": "Journal Article", "created": "2021-03-22", "title": "An automated system for trace gas \ufb02ux measurements from plantfoliage and other plant compartments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Plant shoots can act as sources or sinks of trace gases including methane and nitrous oxide. Accurate measurementsof these trace gas fluxes require enclosing of shoots in closed non-steady state chambers. Due to plant physiological activity, this type of enclosures, however, lead to CO2 depletion in the enclosed air volume, condensation of transpired water, and warmingof the enclosures exposed to sunlight, all of which may bias the flux measurements. Here, we present PlasTraGAS, ab novel measurement system designed for continuous and automated measurements of trace gas and volatile organic compound (VOC) fluxes from plant shoots. The system uses transparent shoot enclosures equipped with Peltier cooling elements and automatically replaces fixated CO2 and removes transpired water from the enclosure. The system is designed for measuring trace gasfluxes over extended periods, capturing diurnal and seasonal variations and linking trace gas exchange to plant physiologicalfunctioning and environmental drivers. Initial measurements show daytime CH4 emissions two pine shoots of 0.056 and 0.089 nmol g\u22121 foliage d.w.h\u22121or 7.80 and 13.1 nmol m\u22122 h\u22121. Simultaneously measured CO2 uptake rates were 9.2 and 7.6 mmol m\u22122 sec\u22121 and transpiration rates of 1.24 and 0.90 mol m\u22122 h\u22121. Concurrent measurement of VOC emissionsdemonstrated that potential effects of spectral interferences on CH4 flux measurements were at least ten-fold smaller than themeasured CH4 fluxes. Overall, this new system solves multiple technical problems that so far prevented automated plant shoottrace gas flux measurements, and holds the potential for providing important new insights into the role of plant foliage in the global CH4 and N2O cycles.                         </p></article>", "keywords": ["Earthwork. Foundations", "13. Climate action", "TA715-787", "Environmental engineering", "TA170-171", "15. Life on land", "7. Clean energy", "01 natural sciences", "Geosciences", "EMISSIONS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/4445/2021/amt-14-4445-2021.pdf"}, {"href": "https://doi.org/10.5194/amt-2021-82"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/amt-2021-82", "name": "item", "description": "10.5194/amt-2021-82", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/amt-2021-82"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.5194/essd-2020-401", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:30Z", "type": "Journal Article", "created": "2020-12-23", "title": "CASCADE \u2013 The Circum-Arctic Sediment CArbon DatabasE", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Biogeochemical cycling in the extensive shelf seas and in the interior basins of the semi-enclosed Arctic Ocean are strongly influenced by land-ocean transport of carbon and other elements. The Arctic carbon cycle system is also inherently connected with the climate, and thus vulnerable to environmental and climate changes. Sediments of the Arctic Ocean are an active and integral part in Arctic biogeochemical cycling, and provide the opportunity to study present and historical input and fate of organic matter (e.g., through permafrost thawing). To compare differences between the Arctic regions and to study Arctic biogeochemical budgets, comprehensive sedimentary records are required. To this end, the Circum-Arctic Sediment CArbon DatabasE (CASCADE) was established to curate data primarily on concentrations of organic carbon (OC) and OC isotopes (\u03b413C, \u039414C), yet also on total N (TN) as well as of terrigenous biomarkers and other sediment geochemical and physical properties drawn both from the published literature and from earlier unpublished records through an extensive international community collaboration. This paper describes the establishment, structure and current status of CASCADE. This first public version includes OC concentrations in surface sediments at 4244 oceanographic stations including 2317 with TN concentrations, 1555 with \u03b413C-OC values, 268 with \u039414C-OC values and 653 records with quantified terrigenous biomarkers (high molecular weight n-alkanes, n-alkanoic acids and lignin phenols) distributed over the shelves and the central basins of the Arctic Ocean. CASCADE also includes data from 326 sediment cores, retrieved by shallow box- or multi-coring and deep gravity/piston coring, as well as sea-bottom drilling. The comprehensive dataset reveals several large-scale features, including clear differences in both OC content and isotope-based diagnostics of OC sources between the shelf sea recipients. This indicates, for instance, the release of strongly pre-aged terrigenous OC to the East Siberian Arctic shelf and younger terrigenous OC to the Kara Sea and thus provides clues about land-ocean transport of material released by thawing permafrost. CASCADE enables synoptic analysis of OC in Arctic Ocean sediments and facilitates a wide array of future empirical and modelling studies of the Arctic carbon cycle. CASCADE is openly and freely available online (https://doi.org/10.17043/cascade; Martens et al., 2020b), is provided in various machine-readable data formats (data tables, GIS shapefile, GIS raster), and also provides ways for contributing data for future CASCADE versions. CASCADE will be continuously updated with newly published and contributed data over the foreseeable future as part of the database management of the Bolin Centre for Climate Research at Stockholm University.                         </p></article>", "keywords": ["QE1-996.5", "Climate Research", "Klimaendringer / Climate change", "VDP::Matematikk og naturvitenskap: 400::Geofag: 450::Oseanografi: 452", "Milj\u00f8vitenskap / Environmental sciences", "Geology", "01 natural sciences", "Climate Science", "Klimatforskning", "Environmental sciences", "13. Climate action", "Biogeochemistry / Biogeochemistry", "GE1-350", "SDG 14 - Life Below Water", "14. Life underwater", "VDP::Mathematics and natural scienses: 400::Geosciences: 450::Oceanography: 452", "Klimatvetenskap", "permafrost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/2561/2021/essd-13-2561-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-2020-401"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-2020-401", "name": "item", "description": "10.5194/essd-2020-401", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-2020-401"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-23T00:00:00Z"}}, {"id": "89e2857f08624cf89672a348e38806c7", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:32:18Z", "type": "Dataset", "title": "Science for policy 2: Leaving land alone: soil functions under GAEC 9 \u2013 datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across the EU in agricultural soils after implementation of the GAEC9 under the proposed CAP to reach 5% or 10% fallow land. This spatial variation is represented in change in z-scores compared to the current supply. The presence of fallow land is evaluated on a NUTS1 level. In the regions where the target of fallow land is not reached, productive arable land is converted into low-productive grassland to reach the 5% or 10% goal. This scenario allows us to evaluate the effect of GAEC5 on the different soil functions. The soil functions are then mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, adapted land use and land management on agricultural soils throughout the European Union. Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Soils and soil sciences", "Agricultural Sciences", "Social Sciences", "Hydrology and Hydrogeology", "Rural and Agricultural Sociology", "Farming Systems", "Farming Systems and Practices", "2. Zero hunger", "Earth and Environmental Sciences", "Soil Sciences", "13. Climate action", "15. Life on land", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot, Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/89e2857f08624cf89672a348e38806c7"}, {"rel": "self", "type": "application/geo+json", "title": "89e2857f08624cf89672a348e38806c7", "name": "item", "description": "89e2857f08624cf89672a348e38806c7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/89e2857f08624cf89672a348e38806c7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.34894/MIRO5P", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Replication Data for: Priming of soil organic matter: chemical structure of added compounds is more important than the energy content", "description": "In March 2014 soil (0-10cm) was collected in Dennenkamp (the Netherlands), a former arable site that has developed into a natural grassland. In the laboratory, fresh soil was sieved (4 mm), homogenized and stored at 4 \u00baC until further use. We report the following data: - CO2 evolution after addition of 13C labelled substrates (glucose, cellobiose and vanillic acid) to the soil. - Abundance of microbial groups (fungi and/or bacteria) that used labeled and non-labeled carbon, measured as increase in 16S rRNA gene copy numbers and 18SrDNA copy numbers, for bacteria and fungi respectively, per g of soil. - Biomass yield (for fungi and bacteria separately) for three substrates (glucose, cellobiose and vanillic acid), used that as a proxy for microbial usable energy", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "qPCR data", "Earth and Environmental Sciences", "Verwerkte data", "Processed data", "15. Life on land", "Environmental Research", "Natural Sciences", "CO2 data", "Geosciences"], "contacts": [{"organization": "Di Lonardo, D.P.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/MIRO5P"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/MIRO5P", "name": "item", "description": "10.34894/MIRO5P", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/MIRO5P"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:35Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.34894/MHDE2F", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Particulate organic matter dynamics in a permafrost headwater stream and the Kolyma River mainstem", "description": "Water samples for this study were collected at two sites in the vicinity of the town of Cherskiy: one representing the Kolyma mainstem (at 68.755 \u00b0N, 161.305 \u00b0E) and the other a small headwater stream called Y3 (watershed size ~17 km2), draining Yedoma-rich soils (sampling site at 68.759 \u00b0N, 161.448 \u00b0E). Surface water samples of 5-20 L were collected every 4-7 days from late May until late September/early October to cover the entire open-water season in 2013 and 2015, resulting in a total of 36 POM samples for the lower Kolyma mainstem and 35 POM samples for headwater stream Y3.", "keywords": ["Earth and Environmental Science", "Siberia", "Arctic river", "Earth and Environmental Sciences", "organic carbon", "15. Life on land", "Environmental Research", "Natural Sciences", "6. Clean water", "Geosciences", "permafrost"], "contacts": [{"organization": "Broeder, Lisa", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/MHDE2F"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/MHDE2F", "name": "item", "description": "10.34894/MHDE2F", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/MHDE2F"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.34894/NPT2CF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Data: Geochemical, sedimentological and microbial diversity in two thermokarst lakes of Far Eastern Siberia", "description": "The data set includes the results of biogeochemical and sedimentary analyses on 4 sediment cores (69.5 cm - 113 cm) from two thermokarst lakes in Far East Siberia near the town of Chokurdakh. The analysis include lake depth measurements, linescan imaging, XRF scans, grainsize distribution, loss-on-ignition, porewater content, magnetic susceptibility, dissolved organic carbon (DOC) concentration, sediment density, stable carbon isotope measurements of DOC and soil organic carbon and radiocarbon ages.", "keywords": ["Earth and Environmental Science", "Yedoma", "Arctic permafrost", "Thermokarst lakes; Far East Siberia; Arctic permafrost; Yedoma; SOC; Microbial Diversity", "Earth and Environmental Sciences", "Far East Siberia", "Thermokarst lakes", "SOC", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences", "Microbial Diversity"], "contacts": [{"organization": "Meisel, Ove H., Rijkers, Ruud, Dean, Joshua F., In 'T Zandt, Michiel H., Van Huissteden, Ko, Maximov, Trofim C., Karsanaev, Sergey V., Marchesini Belelli, Luca, Goovaerts, Arne, Wacker, Lukas, Reichart, Gert-Jan, Bouillon, Steven, Welte, Cornelia U., Jetten, Mike S. M., Vonk, Jorien E., Dolman, Han,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/NPT2CF"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/NPT2CF", "name": "item", "description": "10.34894/NPT2CF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/NPT2CF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.34894/XK4LSU", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Porewater \u03b413CDOC Indicates Variable Extent Of Degradation In Different Talik Layers Of Coastal Alaskan Thermokarst Lakes", "description": "The data set includes the results of geochemical and sediment analyses on 7 sediment cores (63.2 cm - 86.5 cm) from two northern Alaskan thermokarst lakes (Emaiksoun and Unnamed Lake). The analysis include lake depth measurements, linescan imaging, XRF scans, grainsize distribution, loss on ignition, porewater content, magnetic susceptibility, dissolved organic carbon concentration, sediment density, stable carbon isotope measurements dissolved organic carbon and soil organic carbon and radiocarbon ages.", "keywords": ["Earth and Environmental Science", "13. Climate action", "Earth and Environmental Sciences", "Thermokarst Lake", "Dissolved Organic Carbon", "Permafrost", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences", "Alaska"], "contacts": [{"organization": "Meisel, Ove", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/XK4LSU"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/XK4LSU", "name": "item", "description": "10.34894/XK4LSU", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/XK4LSU"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.34894/ZAXGXS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Replication Data for: Relationship between home-field advantage of litter decomposition and priming of soil organic matter", "description": "In this study we investigated the relationship between HFA and PE by measuring litter- and SOM-derived carbon (C) fluxes after the addition of fresh plant litter. We reciprocally incubated three 13C labelled litter types (maize, bent and beech) in soils from ecosystems where these litters are abundantly produced (e.g., arable sites, grasslands and forests), with and without the addition of mineral nitrogen (N).", "keywords": ["Earth and Environmental Science", "Agricultural Sciences", "Earth and Environmental Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Verwerkte data", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Processed data", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Di Lonardo, Paolo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/ZAXGXS"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/ZAXGXS", "name": "item", "description": "10.34894/ZAXGXS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/ZAXGXS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.34894/ZHUBQA", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "Replication data for: \"Emerging forest-peatland bi-stability and resilience of European peatland carbon stores\"", "description": "Summary: Peatlands are sensitive ecosystems that store carbon and water and support biodiversity. Currently European peatlands are threatened by climate change and exploitation. With this model, we show that many landscape settings may support both wetland ecosystems on thick peat soils and forest ecosystems on thin organic soils. Both ecosystems have distinctly different water-carbon dynamics that create internal positive feedbacks allowing both ecosystems to co-exist (bistability), but also to shift when critical limits are exceeded. Content: Model scripts in R and input files to run the model for entire Europe. This requires almost 1,000,000 model runs of 1000Y each(5650 locations, 166 runs per location, estimated 1-5 minutes per model run, total output of around 85 Gig., (not included here)", "keywords": ["Earth and Environmental Science", "Peatland", "Resilience", "Peatland", " Water-carbon feedbacks", " Resilience", "13. Climate action", "Earth and Environmental Sciences", "15. Life on land", "Water carbon feedbacks", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Velde, Ype", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/ZHUBQA"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/ZHUBQA", "name": "item", "description": "10.34894/ZHUBQA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/ZHUBQA"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.34894/u9hspv", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:43Z", "type": "Dataset", "title": "ARCADE: The pan-ARctic CAtchment DatabasE", "description": "Earth\u2019s rapidly changing climate is particularly evident in the Arctic. Outside of the Arctic, the emergence of large-sample catchment databases has transformed science from an emphasis on local case-studies towards more systematic insights into drivers of watershed functioning. Here we present an integrated pan-ARctic CAtchments summary DatabasE (ARCADE) of &gt;40,000 catchments, including small and medium-sized watersheds, draining into the Arctic Ocean. These watersheds, delineated at a high-resolution (90 m), are provided with 103 geospatial, environmental, climatic, and physiographic catchment properties. ARCADE is the first aggregated database of pan-Arctic river catchments that includes small watersheds at a high resolution. These small catchments are experiencing the greatest climatic warming while also storing large quantities of soil carbon in landscapes that are especially prone to degradation of permafrost (i.e., ice wedge polygon terrain) and associated hydrological regime shifts. The publication of this database is a necessary step toward more integrated monitoring of the pan-Arctic watershed.", "keywords": ["Earth and Environmental Science", "Pan-Arctic", "Climate", "Permafrost", "Climate change in the Arctic environment", "15. Life on land", "Biogeochemistry", "Pan Arctic", "Catchment", "Hydroclimatology", "Biospheric Sciences", "Database", "Arctic", "13. Climate action", "Earth and Environmental Sciences", "Climate change", "14. Life underwater", "Watersheds", "Hydrology", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Speetjens, N. J., Hugelius, G., Gumbricht, T., Lantuit, H., Berghuijs, W.R., Pika, P.A., Poste, A., Vonk, J.E.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/u9hspv"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/u9hspv", "name": "item", "description": "10.34894/u9hspv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/u9hspv"}, {"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": "10.5061/dryad.jk939fc", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:08Z", "type": "Dataset", "title": "Data from: Dynamics of deep soil carbon - insights from 14C time series across a climatic gradient", "description": "unspecifiedData_and_code_Van_der_Voort_et_al_2019_BiogeosciencesThis zip file contains all the code and data accompanying the paper: Dynamics of deep soil carbon - insights from 14C time series across a climatic gradient (Van der Voort et al., Biogeosciences, 2019). The data of each figure can be found in the excel file. The MatLab codes referenced in the paper can also be found in the zip file. They are thoroughly commented so that users can easily re-use it.Time_Series_Data_Repo_Folder_Dryad.zip", "keywords": ["2. Zero hunger", "Soil science", "soil organic carbon", "1994-2014", "13. Climate action", "15. Life on land", "time series", "Biogeosciences", "Radiocarbon"], "contacts": [{"organization": "van der Voort, Tessa Sophia, Mannu, Utsav, Hagedorn, Frank, McIntyre, Cameron, Walthert, Lorenz, Schleppi, Patrick, Haghipour, Negar, Eglinton, Timothy I.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.jk939fc"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.jk939fc", "name": "item", "description": "10.5061/dryad.jk939fc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.jk939fc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-23T00:00:00Z"}}, {"id": "10.5194/amt-14-2409-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:17Z", "type": "Journal Article", "created": "2020-09-23", "title": "Suitability of fibre-optic distributed temperature sensing for revealing mixing processes and higher-order moments at the forest\u2013air interface", "description": "<p>Abstract. Suitability of fibre-optic distributed temperature sensing (DTS) technique to observe atmospheric mixing profiles within and above forest was quantified and these profiles were analysed. The spatially continuous observations were made at a 125\uffe2\uff80\uff89m tall mast in a boreal pine forest. Air flows near forest canopies diverge from typical boundary layer flows due to the influence of roughness elements (i.e. trees) on the flow. Ideally these complex flows should be studied with spatially continuous measurements, yet such measurements are not feasible with conventional micrometeorological measurements with e.g. sonic anemometers. Hence the suitability of DTS measurements for studying canopy flows was quantified. The DTS measurements were able to discern continuous profiles of turbulent fluctuations and mean values of air temperature along the mast providing information about mixing processes (e.g. canopy eddies, evolution of inversion layers at night) and up to third order turbulence statistics across the forest-atmosphere interface. Turbulence measurements with 3D sonic anemometers and Doppler lidar at the site were also utilised in this analysis. The continuous profiles for turbulence statistics were in line with prior studies made at wind tunnels and large eddy simulations for canopy flows. The DTS measurements contained a significant noise component which was however quantified and its effect on turbulence statistics was accounted for. Underestimation of air temperature fluctuations at high frequencies caused 20...30\uffe2\uff80\uff89% underestimation of temperature variance at typical flow conditions. Despite these limitations, the DTS measurements should prove useful also in other studies concentrating on flows near roughness elements and/or non-stationary periods, since the measurements revealed spatio-temporal patterns of the flow which were not possible to discern from single point measurements fixed in space.                         </p>", "keywords": ["Fiber-optic distributed sensing", "550", "Airflow", "TA715-787", "Environmental engineering", "Forestry", "TA170-171", "15. Life on land", "530", "01 natural sciences", "Environmental sciences", "Turbulence", "Earthwork. Foundations", "13. Climate action", "Forest", "Geosciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/2409/2021/amt-14-2409-2021.pdf"}, {"href": "https://doi.org/10.5194/amt-14-2409-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/amt-14-2409-2021", "name": "item", "description": "10.5194/amt-14-2409-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/amt-14-2409-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-23T00:00:00Z"}}, {"id": "10.5194/amt-14-4445-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:17Z", "type": "Journal Article", "created": "2021-03-22", "title": "An automated system for trace gas flux measurements from plant foliage and other plant compartments", "description": "<p>Abstract. Plant shoots can act as sources or sinks of trace gases including methane and nitrous oxide. Accurate measurementsof these trace gas fluxes require enclosing of shoots in closed non-steady state chambers. Due to plant physiological activity, this type of enclosures, however, lead to CO2 depletion in the enclosed air volume, condensation of transpired water, and warmingof the enclosures exposed to sunlight, all of which may bias the flux measurements. Here, we present PlasTraGAS, ab novel measurement system designed for continuous and automated measurements of trace gas and volatile organic compound (VOC) fluxes from plant shoots. The system uses transparent shoot enclosures equipped with Peltier cooling elements and automatically replaces fixated CO2 and removes transpired water from the enclosure. The system is designed for measuring trace gasfluxes over extended periods, capturing diurnal and seasonal variations and linking trace gas exchange to plant physiologicalfunctioning and environmental drivers. Initial measurements show daytime CH4 emissions two pine shoots of 0.056 and 0.089 nmol g\uffe2\uff88\uff921 foliage d.w.h\uffe2\uff88\uff921or 7.80 and 13.1 nmol m\uffe2\uff88\uff922 h\uffe2\uff88\uff921. Simultaneously measured CO2 uptake rates were 9.2 and 7.6 mmol m\uffe2\uff88\uff922 sec\uffe2\uff88\uff921 and transpiration rates of 1.24 and 0.90 mol m\uffe2\uff88\uff922 h\uffe2\uff88\uff921. Concurrent measurement of VOC emissionsdemonstrated that potential effects of spectral interferences on CH4 flux measurements were at least ten-fold smaller than themeasured CH4 fluxes. Overall, this new system solves multiple technical problems that so far prevented automated plant shoottrace gas flux measurements, and holds the potential for providing important new insights into the role of plant foliage in the global CH4 and N2O cycles.                         </p>", "keywords": ["Earthwork. Foundations", "13. Climate action", "TA715-787", "Environmental engineering", "TA170-171", "15. Life on land", "7. Clean energy", "01 natural sciences", "Geosciences", "EMISSIONS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/4445/2021/amt-14-4445-2021.pdf"}, {"href": "https://doi.org/10.5194/amt-14-4445-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/amt-14-4445-2021", "name": "item", "description": "10.5194/amt-14-4445-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/amt-14-4445-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.5194/bg-16-3747-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:18Z", "type": "Journal Article", "created": "2019-10-02", "title": "Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities", "description": "<p>Abstract. Evaporation (E) and transpiration (T) respond differently to ongoing changes in climate, atmospheric composition, and land use. It is difficult to partition ecosystem-scale evapotranspiration (ET) measurements into E and T, which makes it difficult to validate satellite data and land surface models. Here, we review current progress in partitioning E and T and provide a prospectus for how to improve theory and observations going forward. Recent advancements in analytical techniques create new opportunities for partitioning E and T at the ecosystem scale, but their assumptions have yet to be fully tested. For example, many approaches to partition E and T rely on the notion that plant canopy conductance and ecosystem water use efficiency exhibit optimal responses to atmospheric vapor pressure deficit (D). We use observations from 240 eddy covariance flux towers to demonstrate that optimal ecosystem response to D is a reasonable assumption, in agreement with recent studies, but more analysis is necessary to determine the conditions for which this assumption holds. Another critical assumption for many partitioning approaches is that ET can be approximated as T during ideal transpiring conditions, which has been challenged by observational studies. We demonstrate that T can exceed 95\uffe2\uff80\uff89% of ET from certain ecosystems, but other ecosystems do not appear to reach this value, which suggests that this assumption is ecosystem-dependent with implications for partitioning. It is important to further improve approaches for partitioning E and T, yet few multi-method comparisons have been undertaken to date. Advances in our understanding of carbon\uffe2\uff80\uff93water coupling at the stomatal, leaf, and canopy level open new perspectives on how to quantify T via its strong coupling with photosynthesis. Photosynthesis can be constrained at the ecosystem and global scales with emerging data sources including solar-induced fluorescence, carbonyl sulfide flux measurements, thermography, and more. Such comparisons would improve our mechanistic understanding of ecosystem water fluxes and provide the observations necessary to validate remote sensing algorithms and land surface models to understand the changing global water cycle.                     </p>", "keywords": ["550", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "Life", "CARBONYL SULFIDE COS", "QH501-531", "SOIL-WATER", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "info:eu-repo/classification/ddc/550", "VAPOR-PRESSURE DEFICIT", "RAINFALL INTERCEPTION", "Ecology", "ddc:550", "Biology and Life Sciences", "Geology", "STABLE-ISOTOPE", "15. Life on land", "540", "6. Clean water", "SURFACE-ENERGY BALANCE", "Environmental sciences", "Earth sciences", "Ecology", " evolutionary biology", "13. Climate action", "Earth and Environmental Sciences", "NET PRIMARY PRODUCTIVITY", "WATER-USE EFFICIENCY", "Geosciences", "EDDY COVARIANCE DATA"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/3747/2019/bg-16-3747-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-3747-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-3747-2019", "name": "item", "description": "10.5194/bg-16-3747-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-3747-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.5194/bg-18-2325-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:19Z", "type": "Journal Article", "created": "2021-04-13", "title": "Modern silicon dynamics of a small high-latitude subarctic lake", "description": "<p>Abstract. High biogenic silica (BSi) concentrations occur sporadically in lake sediments throughout the world; however, the processes leading to high BSi concentrations vary. We explored the factors responsible for the high BSi concentration in sediments of a small, high-latitude subarctic lake (Lake 850). The Si budget of this lake had not been fully characterized before to establish the drivers of BSi accumulation in this environment. To do this, we combined measurements of variations in stream discharge, dissolved silica (DSi) concentrations, and stable Si isotopes in both lake and stream water with measurements of BSi content in lake sediments. Water, radon, and Si mass balances revealed the importance of groundwater discharge as a main source of DSi to the lake, with groundwater-derived DSi inputs 3 times higher than those from ephemeral stream inlets. After including all external DSi sources (i.e., inlets and groundwater discharge) and estimating the total BSi accumulation in the sediment, we show that diatom production consumes up to 79\uffe2\uff80\uff89% of total DSi input. Additionally, low sediment accumulation rates were observed based on the dated gravity core. Our findings thus demonstrate that groundwater discharge and low mass accumulation rate can account for the high BSi accumulation during the last 150\uffe2\uff80\uff89cal\uffe2\uff80\uff89yr\uffe2\uff80\uff89BP. Globally, lakes have been estimated to retain one-fifth of the annual DSi terrestrial weathering flux that would otherwise be delivered to the ocean. Well-constrained lake mass balances, such as presented here, bring clarity to those estimates of the terrestrial Si cycle sinks.                     </p>", "keywords": ["0106 biological sciences", "QE1-996.5", "550", "Ecology", "Geology", "Multidisciplin\u00e4r geovetenskap", "01 natural sciences", "6. Clean water", "Life", "13. Climate action", "QH501-531", "Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://bg.copernicus.org/articles/18/2325/2021/bg-18-2325-2021.pdf"}, {"href": "https://doi.org/10.5194/bg-18-2325-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-18-2325-2021", "name": "item", "description": "10.5194/bg-18-2325-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-18-2325-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-11T00:00:00Z"}}, {"id": "10.5194/gmd-2020-413", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2021-09-13", "title": "EC-Earth3-AerChem, a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6", "description": "<p>Abstract. This paper documents the global climate model EC-Earth3-AerChem, one of the members of the EC-Earth3 family of models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). EC-Earth3-AerChem has interactive aerosols and atmospheric chemistry and contributes to the Aerosols and Chemistry Model Intercomparison Project (AerChemMIP). In this paper, we give an overview of the model, describe in detail how it differs from the other EC-Earth3 configurations, and outline the new features compared with the previously documented version of the model (EC-Earth 2.4). We explain how the model was tuned and spun up under preindustrial conditions and characterize the model's general performance on the basis of a selection of coupled simulations conducted for CMIP6. The net energy imbalance at the top of the atmosphere in the preindustrial control simulation is on average \uffe2\uff88\uff920.09\uffe2\uff80\uff89W\uffe2\uff80\uff89m\uffe2\uff88\uff922 with a standard deviation due to interannual variability of 0.25\uffe2\uff80\uff89W\uffe2\uff80\uff89m\uffe2\uff88\uff922, showing no significant drift. The global surface air temperature in the simulation is on average 14.08\uffe2\uff80\uff89\uffe2\uff88\uff98C with an interannual standard deviation of 0.17\uffe2\uff80\uff89\uffe2\uff88\uff98C, exhibiting a small drift of 0.015\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.005\uffe2\uff80\uff89\uffe2\uff88\uff98C per century. The model's effective equilibrium climate sensitivity is estimated at 3.9\uffe2\uff80\uff89\uffe2\uff88\uff98C, and its transient climate response is estimated at 2.1\uffe2\uff80\uff89\uffe2\uff88\uff98C. The CMIP6 historical simulation displays spurious interdecadal variability in Northern Hemisphere temperatures, resulting in a large spread across ensemble members and a tendency to underestimate observed annual surface temperature anomalies from the early 20th century onwards. The observed warming of the Southern Hemisphere is well reproduced by the model. Compared with the ECMWF (European Centre for Medium-Range Weather Forecasts) Reanalysis version 5 (ERA5), the surface air temperature climatology for 1995\uffe2\uff80\uff932014 has an average bias of \uffe2\uff88\uff920.86\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.05\uffe2\uff80\uff89\uffe2\uff88\uff98C with a standard deviation across ensemble members of 0.35\uffe2\uff80\uff89\uffe2\uff88\uff98C in the Northern Hemisphere and 1.29\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.02\uffe2\uff80\uff89\uffe2\uff88\uff98C with a corresponding standard deviation of 0.05\uffe2\uff80\uff89\uffe2\uff88\uff98C in the Southern Hemisphere. The Southern Hemisphere warm bias is largely caused by errors in shortwave cloud radiative effects over the Southern Ocean, a deficiency of many climate models. Changes in the emissions of near-term climate forcers (NTCFs) have significant effects on the global climate from the second half of the 20th century onwards. For the SSP3-7.0 Shared Socioeconomic Pathway, the model gives a global warming at the end of the 21st century (2091\uffe2\uff80\uff932100) of 4.9\uffe2\uff80\uff89\uffe2\uff88\uff98C above the preindustrial mean. A 0.5\uffe2\uff80\uff89\uffe2\uff88\uff98C stronger warming is obtained for the AerChemMIP scenario with reduced emissions of NTCFs. With concurrent reductions of future methane concentrations, the warming is projected to be reduced by 0.5\uffe2\uff80\uff89\uffe2\uff88\uff98C.                     </p>", "keywords": ["Atmospheric chemistry", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental [\u00c0rees tem\u00e0tiques de la UPC]", "EARTH SYSTEM MODELS", "MINERAL-COMPOSITION", "MODIFIED BAND APPROACH", "7. Clean energy", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "SULFURIC-ACID", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "EC-EARTH", "ORGANIC AEROSOL", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental", "Aerosols", "QE1-996.5", "Escalfament global", "Global warming", "Geology", "Climatic changes", "16. Peace & justice", "Climate Science", "COMPUTATIONAL PERFORMANCE", "DUST AEROSOLS", "Qu\u00edmica atmosf\u00e8rica", "13. Climate action", "GREENHOUSE-GAS CONCENTRATIONS", "BIOMASS BURNING EMISSIONS", "Geosciences", "Klimatvetenskap", "Canvis clim\u00e0tics"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2959536/1/vannoije2021_gmd.pdf"}, {"href": "https://gmd.copernicus.org/articles/14/5637/2021/gmd-14-5637-2021.pdf"}, {"href": "https://doi.org/10.5194/gmd-2020-413"}, {"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-2020-413", "name": "item", "description": "10.5194/gmd-2020-413", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2020-413"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-21T00:00:00Z"}}, {"id": "10.5194/bg-9-2247-2012", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:21Z", "type": "Journal Article", "created": "2012-06-22", "title": "Effects of elevated CO2 and N fertilization on plant and soil carbon pools of managed grasslands: a meta-analysis", "description": "<p>Abstract. Elevated atmospheric CO2 levels and increasing nitrogen deposition both stimulate plant production in terrestrial ecosystems. Moreover, nitrogen deposition could alleviate an increasing nitrogen limitation experienced by plants exposed to elevated CO2 concentrations. However, an increased rate of C flux through the soil compartment as a consequence of elevated CO2 concentrations has been suggested to limit C sequestration in terrestrial ecosystems, questioning the potential for terrestrial C uptake to mitigate increasing atmospheric CO2 concentrations. Our study used data from 77 published studies applying elevated CO2 and/or N fertilization treatment to monitor carbon storage potential in grasslands, and considered the influence of management practices involving biomass removal or irrigation on the elevated CO2 effects. Our results confirmed a positive effect of elevated CO2 levels and nitrogen fertilization on plant growth, but revealed that N availability is essential for the increased C influx under elevated CO2 to propagate into belowground C pools. However, moderate nutrient additions also promoted decomposition processes in elevated CO2, reducing the potential for increased soil C storage. An important role was attributed to the CO2 response of root biomass in soil carbon responses to elevated CO2, since there was a lower potential for increases in soil C content when root biomass increased. Future elevated CO2 concentrations and increasing N deposition might thus increase C storage in plant biomass, but the potential for increased soil C storage is limited.                     </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "Ecology", "Physics", "Geology", "04 agricultural and veterinary sciences", "Ecology; Multidisciplinary Geosciences", "15. Life on land", "01 natural sciences", "Chemistry", "Life", "13. Climate action", "QH501-531", "0401 agriculture", " forestry", " and fisheries", "Biology", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/bg-9-2247-2012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-9-2247-2012", "name": "item", "description": "10.5194/bg-9-2247-2012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-9-2247-2012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-06-22T00:00:00Z"}}, {"id": "10.5194/gc-4-507-2021", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:32Z", "type": "Journal Article", "created": "2021-10-29", "title": "Clear, transparent, and timely communication for fair authorship decisions: a practical guide", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Authorship conflicts are a common occurrence in academic publishing, and they can have serious implications for the careers and well-being of the involved researchers as well as the collective success of research organizations. In addition to not inviting relevant contributors to co-author a paper, the order of authors as well as honorary, gift, and ghost authors are all widely recognized problems related to authorship. Unfair authorship practices disproportionately affect those lower in the power hierarchies\u00a0\u2013 early career researchers, women, researchers from the Global South, and other minoritized groups. Here we propose an approach to preparing author lists based on clear, transparent, and timely communication. This approach aims to minimize the potential for late-stage authorship conflicts during manuscript preparation by facilitating timely and transparent decisions on potential co-authors and their responsibilities. Furthermore, our approach can help avoid imbalances between contributions and credits in published papers by recording planned and executed responsibilities. We present authorship guidelines which also include a novel authorship form along with the documentation of the formulation process for a multidisciplinary and interdisciplinary center with more than 250 researchers. Other research groups, departments, and centers can use or build on this template to design their own authorship guidelines as a practical way to promote fair authorship practices.                     </p></article>", "keywords": ["Physical sciences", "Environmental sciences", "G", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Science", "Q", "Geography. Anthropology. Recreation", "Geosciences"]}, "links": [{"href": "https://gc.copernicus.org/articles/4/507/2021/gc-4-507-2021.pdf"}, {"href": "https://doi.org/10.5194/gc-4-507-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscience%20Communication", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gc-4-507-2021", "name": "item", "description": "10.5194/gc-4-507-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gc-4-507-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "10.5194/gmd-14-5637-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2021-09-13", "title": "EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. This paper documents the global climate model EC-Earth3-AerChem, one of the members of the EC-Earth3 family of models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). EC-Earth3-AerChem has interactive aerosols and atmospheric chemistry and contributes to the Aerosols and Chemistry Model Intercomparison Project (AerChemMIP). In this paper, we give an overview of the model, describe in detail how it differs from the other EC-Earth3 configurations, and outline the new features compared with the previously documented version of the model (EC-Earth 2.4). We explain how the model was tuned and spun up under preindustrial conditions and characterize the model's general performance on the basis of a selection of coupled simulations conducted for CMIP6. The net energy imbalance at the top of the atmosphere in the preindustrial control simulation is on average \u22120.09\u2009W\u2009m\u22122 with a standard deviation due to interannual variability of 0.25\u2009W\u2009m\u22122, showing no significant drift. The global surface air temperature in the simulation is on average 14.08\u2009\u2218C with an interannual standard deviation of 0.17\u2009\u2218C, exhibiting a small drift of 0.015\u2009\u00b1\u20090.005\u2009\u2218C per century. The model's effective equilibrium climate sensitivity is estimated at 3.9\u2009\u2218C, and its transient climate response is estimated at 2.1\u2009\u2218C. The CMIP6 historical simulation displays spurious interdecadal variability in Northern Hemisphere temperatures, resulting in a large spread across ensemble members and a tendency to underestimate observed annual surface temperature anomalies from the early 20th century onwards. The observed warming of the Southern Hemisphere is well reproduced by the model. Compared with the ECMWF (European Centre for Medium-Range Weather Forecasts) Reanalysis version 5 (ERA5), the surface air temperature climatology for 1995\u20132014 has an average bias of \u22120.86\u2009\u00b1\u20090.05\u2009\u2218C with a standard deviation across ensemble members of 0.35\u2009\u2218C in the Northern Hemisphere and 1.29\u2009\u00b1\u20090.02\u2009\u2218C with a corresponding standard deviation of 0.05\u2009\u2218C in the Southern Hemisphere. The Southern Hemisphere warm bias is largely caused by errors in shortwave cloud radiative effects over the Southern Ocean, a deficiency of many climate models. Changes in the emissions of near-term climate forcers (NTCFs) have significant effects on the global climate from the second half of the 20th century onwards. For the SSP3-7.0 Shared Socioeconomic Pathway, the model gives a global warming at the end of the 21st century (2091\u20132100) of 4.9\u2009\u2218C above the preindustrial mean. A 0.5\u2009\u2218C stronger warming is obtained for the AerChemMIP scenario with reduced emissions of NTCFs. With concurrent reductions of future methane concentrations, the warming is projected to be reduced by 0.5\u2009\u2218C.                     </p></article>", "keywords": ["Atmospheric chemistry", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental [\u00c0rees tem\u00e0tiques de la UPC]", "EARTH SYSTEM MODELS", "MINERAL-COMPOSITION", "MODIFIED BAND APPROACH", "7. Clean energy", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "SULFURIC-ACID", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "EC-EARTH", "ORGANIC AEROSOL", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental", "Aerosols", "QE1-996.5", "Escalfament global", "Global warming", "Geology", "Climatic changes", "16. Peace & justice", "Climate Science", "COMPUTATIONAL PERFORMANCE", "DUST AEROSOLS", "Qu\u00edmica atmosf\u00e8rica", "13. Climate action", "GREENHOUSE-GAS CONCENTRATIONS", "BIOMASS BURNING EMISSIONS", "Geosciences", "Klimatvetenskap", "Canvis clim\u00e0tics"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2959536/1/vannoije2021_gmd.pdf"}, {"href": "https://gmd.copernicus.org/articles/14/5637/2021/gmd-14-5637-2021.pdf"}, {"href": "https://doi.org/10.5194/gmd-14-5637-2021"}, {"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-14-5637-2021", "name": "item", "description": "10.5194/gmd-14-5637-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-14-5637-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-21T00:00:00Z"}}, {"id": "10.5194/gmd-2017-172", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.                         </p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10.5194/gmd-2017-172"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-2017-172", "name": "item", "description": "10.5194/gmd-2017-172", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2017-172"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.5194/gmd-2021-98", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2021-11-30", "title": "Performance analysis of regional AquaCrop (v6.1) biomass  and surface soil moisture simulations using satellite  and in situ observations", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The current intensive use of agricultural land is affecting the land quality and contributes to climate change. Feeding the world's growing population under changing climatic conditions demands a global transition to more sustainable agricultural systems. This requires efficient models and data to monitor land cultivation practices at the field to global scale. This study outlines a spatially distributed version of the field-scale crop model AquaCrop version 6.1 to simulate agricultural biomass production and soil moisture variability over Europe at a relatively fine resolution of 30\u2009arcsec (\u223c1\u2009km). A highly efficient parallel processing system is implemented to run the model regionally with global meteorological input data from the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2), soil textural information from the Harmonized World Soil Database version 1.2 (HWSDv1.2), and generic crop information. The setup with a generic crop is chosen as a baseline for a future satellite-based data assimilation system. The relative temporal variability in daily crop biomass production is evaluated with the Copernicus Global Land Service dry matter productivity (CGLS-DMP) data. Surface soil moisture is compared against NASA Soil Moisture Active\u2013Passive surface soil moisture (SMAP-SSM) retrievals, the Copernicus Global Land Service surface soil moisture (CGLS-SSM) product derived from Sentinel-1, and in situ data from the International Soil Moisture Network (ISMN). Over central Europe, the regional AquaCrop model is able to capture the temporal variability in both biomass production and soil moisture, with a spatial mean temporal correlation of 0.8 (CGLS-DMP), 0.74 (SMAP-SSM), and 0.52 (CGLS-SSM). The higher performance when evaluating with SMAP-SSM compared to Sentinel-1 CGLS-SSM is largely due to the lower quality of CGLS-SSM satellite retrievals under growing vegetation. The regional model further captures the short-term and inter-annual variability, with a mean anomaly correlation of 0.46 for daily biomass and mean anomaly correlations of 0.65 (SMAP-SSM) and 0.50 (CGLS-SSM) for soil moisture. It is shown that soil textural characteristics and irrigated areas influence the model performance. Overall, the regional AquaCrop model adequately simulates crop production and soil moisture and provides a suitable setup for subsequent satellite-based data assimilation.</p></article>", "keywords": ["YIELD RESPONSE", "2. Zero hunger", "LAND", "QE1-996.5", "Science & Technology", "PRODUCTIVITY", "04 Earth Sciences", "0207 environmental engineering", "UNCERTAINTY", "Geology", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "WHEAT YIELD", "37 Earth sciences", "DATA ASSIMILATION", "13. Climate action", "ASSESSMENTS", "Physical Sciences", "IMPLEMENTATION", "FAO CROP MODEL", "Geosciences", " Multidisciplinary", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/14/7309/2021/gmd-14-7309-2021.pdf"}, {"href": "https://doi.org/10.5194/gmd-2021-98"}, {"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-2021-98", "name": "item", "description": "10.5194/gmd-2021-98", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2021-98"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "11583/2959536", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:46Z", "type": "Journal Article", "created": "2021-09-13", "title": "EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. This paper documents the global climate model EC-Earth3-AerChem, one of the members of the EC-Earth3 family of models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). EC-Earth3-AerChem has interactive aerosols and atmospheric chemistry and contributes to the Aerosols and Chemistry Model Intercomparison Project (AerChemMIP). In this paper, we give an overview of the model, describe in detail how it differs from the other EC-Earth3 configurations, and outline the new features compared with the previously documented version of the model (EC-Earth 2.4). We explain how the model was tuned and spun up under preindustrial conditions and characterize the model's general performance on the basis of a selection of coupled simulations conducted for CMIP6. The net energy imbalance at the top of the atmosphere in the preindustrial control simulation is on average \u22120.09\u2009W\u2009m\u22122 with a standard deviation due to interannual variability of 0.25\u2009W\u2009m\u22122, showing no significant drift. The global surface air temperature in the simulation is on average 14.08\u2009\u2218C with an interannual standard deviation of 0.17\u2009\u2218C, exhibiting a small drift of 0.015\u2009\u00b1\u20090.005\u2009\u2218C per century. The model's effective equilibrium climate sensitivity is estimated at 3.9\u2009\u2218C, and its transient climate response is estimated at 2.1\u2009\u2218C. The CMIP6 historical simulation displays spurious interdecadal variability in Northern Hemisphere temperatures, resulting in a large spread across ensemble members and a tendency to underestimate observed annual surface temperature anomalies from the early 20th century onwards. The observed warming of the Southern Hemisphere is well reproduced by the model. Compared with the ECMWF (European Centre for Medium-Range Weather Forecasts) Reanalysis version 5 (ERA5), the surface air temperature climatology for 1995\u20132014 has an average bias of \u22120.86\u2009\u00b1\u20090.05\u2009\u2218C with a standard deviation across ensemble members of 0.35\u2009\u2218C in the Northern Hemisphere and 1.29\u2009\u00b1\u20090.02\u2009\u2218C with a corresponding standard deviation of 0.05\u2009\u2218C in the Southern Hemisphere. The Southern Hemisphere warm bias is largely caused by errors in shortwave cloud radiative effects over the Southern Ocean, a deficiency of many climate models. Changes in the emissions of near-term climate forcers (NTCFs) have significant effects on the global climate from the second half of the 20th century onwards. For the SSP3-7.0 Shared Socioeconomic Pathway, the model gives a global warming at the end of the 21st century (2091\u20132100) of 4.9\u2009\u2218C above the preindustrial mean. A 0.5\u2009\u2218C stronger warming is obtained for the AerChemMIP scenario with reduced emissions of NTCFs. With concurrent reductions of future methane concentrations, the warming is projected to be reduced by 0.5\u2009\u2218C.</p></article>", "keywords": ["Atmospheric chemistry", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental [\u00c0rees tem\u00e0tiques de la UPC]", "EARTH SYSTEM MODELS", "MINERAL-COMPOSITION", "MODIFIED BAND APPROACH", "7. Clean energy", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "SULFURIC-ACID", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "EC-EARTH", "ORGANIC AEROSOL", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental", "Aerosols", "QE1-996.5", "Escalfament global", "Global warming", "Geology", "Climatic changes", "16. Peace & justice", "Climate Science", "COMPUTATIONAL PERFORMANCE", "DUST AEROSOLS", "Qu\u00edmica atmosf\u00e8rica", "13. Climate action", "GREENHOUSE-GAS CONCENTRATIONS", "BIOMASS BURNING EMISSIONS", "Geosciences", "Klimatvetenskap", "Canvis clim\u00e0tics"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2959536/1/vannoije2021_gmd.pdf"}, {"href": "https://gmd.copernicus.org/articles/14/5637/2021/gmd-14-5637-2021.pdf"}, {"href": "https://doi.org/11583/2959536"}, {"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": "11583/2959536", "name": "item", "description": "11583/2959536", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11583/2959536"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-21T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:12Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.</p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10.5281/zenodo.8091915", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:01Z", "type": "Journal Article", "created": "2022-08-02", "title": "Improving the documentation and findability of data services and repositories: A review of (meta)data management approaches", "description": "This scientific review paper aims at challenging a common point of view on metadata as a necessary evil and<br> something mandatory to the data creating and dataset publishing process. Metadata are instead presented as a crucial element to ensure the findability of data services and repositories. This paper describes a way through four levels of metadata management and publication, from default unstructured data, through schema-based metadata with literal values and/or URIs, towards linked open (meta)data providing explicit linkage between reliable data resources. Such research was conducted within the European Union\u2019s project PoliVisu. Special attention is given to the following: (1) guidance on publication aimed at the broad audience of search engine users and (2) the publication of geo (meta)data not only via standard technologies, such as the OGC Catalogue Service for Web and open data portals, but also through leading search engines (that are Schema.org-based).", "keywords": ["Geochemistry & Geophysics", "Technology", "Open linked data", "04 Earth Sciences", "02 engineering and technology", "46 Information and computing sciences", "09 Engineering", "Metadata review", "0202 electrical engineering", " electronic engineering", " information engineering", "Geosciences", " Multidisciplinary", "INSPIRE", "40 Engineering", "TOOLS", "Science & Technology", "Geodata", "LINKED-DATA", "Findability", "05 social sciences", "Geology", "37 Earth sciences", "MODEL", "ONTOLOGY", "Open linked metadata", "CATALOG SERVICES", "DISCOVERY", "Computer Science", "Physical Sciences", "Search engines", "Computer Science", " Interdisciplinary Applications", "08 Information and Computing Sciences", "0509 other social sciences", "METADATA", "SPATIAL INFORMATION"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8091915"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20%26amp%3B%20Geosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8091915", "name": "item", "description": "10.5281/zenodo.8091915", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8091915"}, {"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": "10871/31936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:35Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.</p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10871/31936"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10871/31936", "name": "item", "description": "10871/31936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10871/31936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.57745/8OIJ5T", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: National estimation of soil organic carbon storage potential for arable soils: A data-driven approach coupled with carbon-landscape zones", "description": "Soil organic carbon (SOC) is important for its contributions to agricultural production, food security, and ecosystem services. Increasing SOC stocks can contribute to mitigate climate change by transferring atmospheric CO2 into long-lived soil carbon pools. The launch of the 4 per 1000 initiative has resulted in an increased interest in developing methods to quantity the additional SOC that can be stored in soil under different management options. In this work, we have made a first attempt to estimate SOC storage potential of arable soils using a data-driven approach based on the French National Soil Monitoring Network. The data-driven approach was used to determine the maximum SOC stocks of arable soils for France. We first defined different carbon-landscape zones (CLZs) using clustering analysis. We then computed estimates of the highest possible values using percentile of 0.8, 0.85, 0.9 and 0.95 of the measured SOC stocks within these CLZs. The SOC storage potential was calculated as the difference between the maximum SOC stocks and current SOC stocks for topsoil and subsoil. The percentile used to determine highest possible SOC had a large influence on the estimates of French national SOC storage potential. When the percentile increased from 0.8 to 0.95, the national SOC storage potential increased by two to three-fold, from 336 to 1020 Mt for topsoil and from 165 to 433 Mt for subsoil, suggesting a high sensitivity of this approach to the selected percentile. Nevertheless, we argue that this approach can offer advantages from an operational point of view, as it enables to set targets of SOC storage taking into account both policy makers' and farmers' considerations about their feasibility. Robustness of the estimates should be further assessed using complementary approaches such as mechanistic modelling. This dataset gather the raster used to produce the figure 6, 9 and 10. Projection lambert 93 France.", "keywords": ["2. Zero hunger", "soil organic carbon", "Earth and Environmental Science", "13. Climate action", "Earth and Environmental Sciences", "r\u00e9seau de mesures de la qualit\u00e9 des sols", "15. Life on land", "Environmental Research", "Natural Sciences", "TER sciences du sol", "arable soil", "Geosciences", "soil"], "contacts": [{"organization": "Chen, Songchao, Arrouays, Dominique, Angers, Denis A., Barr\u00e9, Pierre, Martin, Manuel P., Saby, Nicolas P.A., Walter, Christian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/8OIJ5T"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/8OIJ5T", "name": "item", "description": "10.57745/8OIJ5T", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/8OIJ5T"}, {"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": "10.57745/AKSR1A", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "Biogeographical patterns of the soil fungal:bacterial ratio across France", "description": "Data to perform the analyzes presented in the publication. See abstract below: Soils are one of the major reservoirs of biological diversity on our planet because they host a huge richness of microorganisms. The fungal:bacterial (F:B) ratio targets two major functional groups of organisms in soils and can improve our understanding of their importance and efficiency for soil functioning. To better decipher the variability of this ratio and rank the environmental parameters involved, we used the French Soil Quality Monitoring Network \u2013 one of the most extensive and a priori-free soil sampling surveys, based on a systematic 16 km x 16 km grid and including more than 2,100 samples. F:B ratios, measured by quantitative PCR targeting the 18S and 16S rDNA genes, turned out to be heterogenously distributed, and spatially structured in geographical patterns across France. These distribution patterns differed from bacterial or fungal densities taken separately, supporting the hypothesis that the F:B ratio is not the mere addition of each density, but rather results from the complex interactions of the two functional groups. The F:B ratios were mainly influenced by soil characteristics and land management. Among soil characteristics, the pH and to a lesser extent the organic carbon content and the C:N ratio were the main drivers. These results improved our understanding of soil microbial communities, and from an operational point of view, they suggested that the F:B ratio should be a useful new bioindicator of soil status. The resulting dataset can be considered as a first step toward building up a robust repository essential to any bioindicator and aimed at guiding and helping decision-making.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Agricultural Sciences", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Earth and Environmental Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "France", "fungal:bacterial ratio; soil; biogeographical", " RMQS", " France", "Environmental Research", "Natural Sciences", "RMQS", "fungal bacterial ratio soil biogeographical", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Djemiel, Christophe", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/AKSR1A"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/AKSR1A", "name": "item", "description": "10.57745/AKSR1A", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/AKSR1A"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.57745/2V46MF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "Unit\u00e9 Exp\u00e9rimentale d'Epoisses : Donn\u00e9es collect\u00e9es dans le cadre des \u00e9tudes de sol du r\u00e9seau CAREX", "description": "Ces donn\u00e9es ont \u00e9t\u00e9 cr\u00e9\u00e9es pour la caract\u00e9risation des sols et de leurs propri\u00e9t\u00e9s de l'Unit\u00e9 Exp\u00e9rimentale INRAE d'Epoisse (commune de Breteni\u00e8re, C\u00f4te d'Or, France). L\u2019\u00e9tude a port\u00e9 sur 120 ha. Les donn\u00e9es contiennent des informations ponctuelles issues d\u2019observations et d\u2019analyses sur 92 sondages et 12 profils p\u00e9dologiques. Le jeu de donn\u00e9es contient \u00e9galement des donn\u00e9es surfaciques : r\u00e9sistivit\u00e9s \u00e9lectriques spatiales, carte des types de sols classifi\u00e9s par Unit\u00e9s Typologiques de Sols (UTS).", "keywords": ["Earth and Environmental Science", "pH du sol", "structure du sol", "potentiel matriciel", "masse volumique du sol", "horizon", "type de sol", "carbonate", "granulometrie du sol", "carbone organique du sol", "propriet\u00e9s physico-chimiques du sol", "g\u00e9ologie", "azote total", "r\u00e9sisitivit\u00e9 \u00e9lectrique", "carte p\u00e9dologique", "r\u00e9tention hydrique du sol", "propriet\u00e9 hydrique du sol", "capacit\u00e9 au champ", "teneur en argile", "capacit\u00e9 d \u00e9change cationique", "carbone total", "hydromorphie", "point fl\u00e9trissement permanent", "Earth and Environmental Sciences", "propriet\u00e9s physico chimiques du sol", "r\u00e9f\u00e9rentiel p\u00e9dologique", "unit\u00e9 typologique de sol UTS", "Environmental Research", "Natural Sciences", "capacit\u00e9 d'\u00e9change cationique", "texture", "occupation du sol", "Geosciences"], "contacts": [{"organization": "Seger, Maud, Girot, Ghislain, Mistou, Marie-No\u00ebl, Laloua, Didier, Le Lay, Christian, Gaillard, Herv\u00e9, Ubertosi, Marjorie, Coffin, Arnaud, Hugard, Rodolphe,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/2V46MF"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/2V46MF", "name": "item", "description": "10.57745/2V46MF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/2V46MF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.57745/3QFT2T", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "French maps for the Global Soil Nutrient and Nutrient Budget Map (GSNmap)", "description": "This set of maps presents digital maps of soil properties on agricultural lands in France within the FAO framework \u201cGlobal Soil Nutrient and Nutrient Budgets maps\u201d. The spatial predictions of ten soil properties, namely Total N, available P, CEC, pH (water), Clay, Silt, Sand, Soil Organic Carbon, Bulk density and available K were generated with a 250 m spatial resolution. Random forest machine learning approach in combination with environmental variables was used for spatial distribution assessment of properties. Additionally, uncertainty maps expressed as the standard deviation of spatial predictions were produced. All maps are provided in a raster geotiff format. the identifier of the spatial reference system (srid) is 4326.", "keywords": ["Earth and Environmental Science", "bulk density", "cation exchange capacity", "available phosphorus content", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "sand", "cropland", "potassium content", "cation-exchange capacity", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "silt", "Agricultural Sciences", "pH", "nutrient", "EAR soil sciences", "soil property", "Life Sciences", "clay", "15. Life on land", "6. Clean water", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "digital soil mapping", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "random forest", "Geosciences", "nitrogen content"], "contacts": [{"organization": "Suleymanov, Azamat, Saby, Nicolas, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/3QFT2T"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/3QFT2T", "name": "item", "description": "10.57745/3QFT2T", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/3QFT2T"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.57745/7AVE9W", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "Soil and crop management for climate-smart soils", "description": "This work aims at creating an integrative literature review on the effect of agricultural practices on sustainable soil water management in Europe. For this we selected multiple meta-analysis using the following query string: soil AND meta-analysis NOT forest NOT urban AND (management OR tillage OR cropping OR crops OR crop OR (cover and crops) OR (catch and crop) OR residue OR residues OR fertilizer OR manure OR amendment OR liming OR compost OR traffic OR biochar OR irrigation OR intercropping OR agroforestry) AND (hydraulic conductivity OR water retention OR available water OR runoff OR infiltration OR bulk density OR macroporosity OR penetration resistance OR soil strength OR aggregate stability OR aggregation OR yields OR organic matter OR organic carbon OR (microbial OR faunal OR earthworm) AND (biomass OR activity) root AND (depth or biomass or growth)) These meta-analysis were after analysed in terms to extract the relationships between drivers and variables. The quality of the meta-analysis was also evaluated using method from Beillouin et al. (2019)", "keywords": ["2. Zero hunger", "13. Climate action", "Agricultural Sciences", "Earth and Environmental Sciences", "11. Sustainability", "15. Life on land", "6. Clean water", "Agriculture", " Forestry", " Horticulture", "Geosciences", "12. Responsible consumption"], "contacts": [{"organization": "CLIMASOMA, , Blanchy, Guillaume,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/7AVE9W"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/7AVE9W", "name": "item", "description": "10.57745/7AVE9W", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/7AVE9W"}, {"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": "10.57745/KAMGHR", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:38Z", "type": "Dataset", "title": "The effects of earthworm species on organic matter transformations and soil microbial communities are only partially related to their bioturbation activity", "description": "This dataset was acquired to investigate the effects of earthworm species on soil bioturbation, biogeochemical transformations of soil organic matter, and soil microbial communities under controlled conditions. Six earthworm species (Lumbricus terrestris, Allolobophora chlorotica, Octolasion cyaneum, Octodrilus complanatus, Aporrectodea caliginosa meridionalis and Microscolex dubius) were incubated in soil cores with soil and alfalfa litter for 6 weeks, at 16 \u00b0C. The soil is a silty loam sampled in an agricultural plot in Estr\u00e9es-Mons, northern France. Two series of soil cores were performed, including controls (3 with litter and without earthworm, 3 without litter and without earthworm per series). At the end of the incubation period, the entire cores were scanned using a medical scanner for bioturbation measurements. All images were processed the same way to compute the number of macropores (set of connected voxels), the volume of burrows (sum of all the macropore volume), the vertical barycentre of the burrow system (the centre of mass of the burrow system when only the vertical dimension is taken into account), the diameter (assessed as the median of the diameter of all vertical pores with a circularity 0.8) and burrow system continuity (number of burrows whose vertical length was higher than 30% of the depth of the soil core). In cores with earthworms, the soil was sampled from three different compartments: surface casts, the drilosphere (i.e., soil surrounding burrows, up to 4 mm from the burrow walls), and surrounding bulk soil. In control cores without earthworms, the soil was sampled from three different depths: surface (0-2 cm from the soil surface), middle (8-12 cm) and bottom (18-22 cm). Biogeochemical measurements, performed on the different soil compartments, included : soil humidity, dissolved organic carbon (C), total C, total nitrogen (N), mineral N, organic N contents, C to N ratio, nitrate (NO3-) and ammonium (NH4+) contents at the time if sampling and after 8 days in incubation at 20\u00b0C, carbon dioxide (CO2) fluxes measured with Isotope-ratio mass spectrometry (IRMS) method after 46, 91, 136, and 181 hours of microcosm incubation at 20\u00b0C, CO2 fluxes measured with sodium hydroxide (NaOH) traps after 46, 94, 142, and 190 hours of microcosm incubation at 20\u00b0C. Microbiological measurements, performed on the different soil compartments, included: total DNA concentration in soil, 16S rRNA copy number, 18S rRNA copy number, bacterial operational taxonomic unit (OUT) composition, and Shannon index, calculated on bacterial OTU. This work was supported by the the AgroEcoSystem Division of INRAE through the funding of the \u201cGloWorms\u201d project.", "keywords": ["Earth and Environmental Science", "Decomposition", "Agricultural Sciences", "Nitrogen", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Carbon", "Soil", "Earth and Environmental Sciences", "Earthworm", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "mineralization", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Lashermes, Gwena\u00eblle, Vion-Guibert, Luna, Capowiez, Yvan, Alavoine, Gonzague, Delfosse, Olivier, Hedde, Micka\u00ebl, Marsden, Claire,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/KAMGHR"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/KAMGHR", "name": "item", "description": "10.57745/KAMGHR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/KAMGHR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.57745/ykzdfi", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:39Z", "type": "Dataset", "title": "Etude 4pour1000 : BANCO simulation data for publication of the article \"A Marginal Abatement Cost Curve for Climate Change Mitigation by additional carbon storage in French agricultural land\"", "description": "input data and simulation outputs of the BANCO model : cost effective allocation of the net abatement effort. Simulations made for the article revision submited to JCP. (2022-07-25)", "keywords": ["Earth and Environmental Science", "Agricultural Sciences", "Economics", "Climate", "Social and Behavioural Sciences", "Social Sciences", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "7. Clean energy", "carbon sequestration", "Farming Systems", "modelling", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Bami\u00e8re, Laure, Schiavo, Michele, Bellassen, Valentin, Delame, Nathalie, Letort, Elodie, Mosnier, Claire,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/ykzdfi"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/ykzdfi", "name": "item", "description": "10.57745/ykzdfi", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/ykzdfi"}, {"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": "10044/1/67327", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:03Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10044/1/67327"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/67327", "name": "item", "description": "10044/1/67327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/67327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10138/333024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:07Z", "type": "Journal Article", "created": "2021-03-22", "title": "An automated system for trace gas \ufb02ux measurements from plantfoliage and other plant compartments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Plant shoots can act as sources or sinks of trace gases including methane and nitrous oxide. Accurate measurementsof these trace gas fluxes require enclosing of shoots in closed non-steady state chambers. Due to plant physiological activity, this type of enclosures, however, lead to CO2 depletion in the enclosed air volume, condensation of transpired water, and warmingof the enclosures exposed to sunlight, all of which may bias the flux measurements. Here, we present PlasTraGAS, ab novel measurement system designed for continuous and automated measurements of trace gas and volatile organic compound (VOC) fluxes from plant shoots. The system uses transparent shoot enclosures equipped with Peltier cooling elements and automatically replaces fixated CO2 and removes transpired water from the enclosure. The system is designed for measuring trace gasfluxes over extended periods, capturing diurnal and seasonal variations and linking trace gas exchange to plant physiologicalfunctioning and environmental drivers. Initial measurements show daytime CH4 emissions two pine shoots of 0.056 and 0.089 nmol g\u22121 foliage d.w.h\u22121or 7.80 and 13.1 nmol m\u22122 h\u22121. Simultaneously measured CO2 uptake rates were 9.2 and 7.6 mmol m\u22122 sec\u22121 and transpiration rates of 1.24 and 0.90 mol m\u22122 h\u22121. Concurrent measurement of VOC emissionsdemonstrated that potential effects of spectral interferences on CH4 flux measurements were at least ten-fold smaller than themeasured CH4 fluxes. Overall, this new system solves multiple technical problems that so far prevented automated plant shoottrace gas flux measurements, and holds the potential for providing important new insights into the role of plant foliage in the global CH4 and N2O cycles.</p></article>", "keywords": ["Earthwork. Foundations", "13. Climate action", "TA715-787", "Environmental engineering", "TA170-171", "15. Life on land", "7. Clean energy", "01 natural sciences", "Geosciences", "EMISSIONS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/4445/2021/amt-14-4445-2021.pdf"}, {"href": "https://doi.org/10138/333024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/333024", "name": "item", "description": "10138/333024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/333024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10138/336065", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:07Z", "type": "Journal Article", "created": "2021-10-29", "title": "Clear, transparent, and timely communication for fair authorship decisions: a practical guide", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Authorship conflicts are a common occurrence in academic publishing, and they can have serious implications for the careers and well-being of the involved researchers as well as the collective success of research organizations. In addition to not inviting relevant contributors to co-author a paper, the order of authors as well as honorary, gift, and ghost authors are all widely recognized problems related to authorship. Unfair authorship practices disproportionately affect those lower in the power hierarchies\u00a0\u2013 early career researchers, women, researchers from the Global South, and other minoritized groups. Here we propose an approach to preparing author lists based on clear, transparent, and timely communication. This approach aims to minimize the potential for late-stage authorship conflicts during manuscript preparation by facilitating timely and transparent decisions on potential co-authors and their responsibilities. Furthermore, our approach can help avoid imbalances between contributions and credits in published papers by recording planned and executed responsibilities. We present authorship guidelines which also include a novel authorship form along with the documentation of the formulation process for a multidisciplinary and interdisciplinary center with more than 250 researchers. Other research groups, departments, and centers can use or build on this template to design their own authorship guidelines as a practical way to promote fair authorship practices.</p></article>", "keywords": ["Physical sciences", "Environmental sciences", "G", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "Science", "Q", "Geography. Anthropology. Recreation", "Geosciences"]}, "links": [{"href": "https://gc.copernicus.org/articles/4/507/2021/gc-4-507-2021.pdf"}, {"href": "https://doi.org/10138/336065"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscience%20Communication", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/336065", "name": "item", "description": "10138/336065", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/336065"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:47Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "1854/LU-01JM1T576ZX50W7293M9RBH0RG", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:58Z", "type": "Journal Article", "created": "2024-10-17", "title": "Assimilation of Sentinel\u20101 Backscatter to Update AquaCrop Estimates of Soil Moisture and Crop Biomass", "description": "Abstract<p>This study assesses the potential of regional microwave backscatter data assimilation (DA) in AquaCrop for the first time, using NASA's Land Information System. The objective is to assess whether the assimilation setup can improve surface soil moisture (SSM) and crop biomass estimates. SSM and crop biomass simulations from AquaCrop were updated using Sentinel\uffe2\uff80\uff901 synthetic aperture radar observations, over three regions in Europe in two separate DA experiments. The first experiment concerned updating SSM using VV\uffe2\uff80\uff90polarized backscatter and the corrections were propagated via the model to the biomass. In the second experiment, the DA setup was extended by also updating the biomass with VH\uffe2\uff80\uff90polarized backscatter. SSM was evaluated with local in situ data and with downscaled Soil Moisture Active Passive (SMAP) retrievals for all cropland grid cells, whereas crop biomass was compared to SMAP vegetation optical depth and the Copernicus dry matter productivity. The assimilation showed mixed results for root mean square error and Pearson's correlation, with slight overall improvements in the (anomaly) correlations of updated SSM relative to independent in situ and satellite data. By contrast, the biomass estimates obtained with backscatter DA did not agree better with reference data sets. Overall, the SSM evaluation showed that there is potential in using Sentinel\uffe2\uff80\uff901 backscatter for assimilation in AquaCrop, but the present setup was not able to improve crop biomass estimates. Our study reveals how the complex interaction between SSM, crop biomass and backscatter affect the impact and performance of DA, offering insight into ways to optimize DA for crop growth estimation.</p", "keywords": ["Science & Technology", "SURFACE", "SIMULATE YIELD RESPONSE", "Environmental Sciences & Ecology", "Geology", "LAND INFORMATION-SYSTEM", "0404 Geophysics", "FRAMEWORK", "AquaCrop", "MODEL", "1158423N#56471461", "Earth and Environmental Sciences", "IRRIGATION", "Physical Sciences", "Sentinel-1 SAR", "NETWORK", "Geosciences", " Multidisciplinary", "soil moisture", "Life Sciences & Biomedicine", "data assimilation", "3706 Geophysics", "Environmental Sciences", "SATELLITE", "crop biomass"]}, "links": [{"href": "https://doi.org/1854/LU-01JM1T576ZX50W7293M9RBH0RG"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JM1T576ZX50W7293M9RBH0RG", "name": "item", "description": "1854/LU-01JM1T576ZX50W7293M9RBH0RG", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JM1T576ZX50W7293M9RBH0RG"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-01T00:00:00Z"}}, {"id": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:57Z", "type": "Journal Article", "created": "2021-11-17", "title": "Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil contamination by heavy metals is of particular concern, due to the direct negative impact on crop yield, food quality and human health. Although the conventional approach to monitor heavy metals relies on field sampling and lab analysis, the proliferation in the use of portable spectrometers has reduced the cost and time of investigation. However, discrepancies in spectral data from different spectrometers increase the modeling time and undermine the model accuracy for spatial mapping. This study, therefore, took advantage of the readily accessible Landsat 7 data to predict and map the spatiotemporal distribution of ten heavy metals (i.e., Sb, Pb, Ni, Mn, Hg, Cu, Cr, Co, Cd and As) over a 640 km2 area in Belgium. The Land Use/Cover Area Frame Survey (LUCAS) database of a region in north-eastern Belgium was used to retrieve variation in heavy metals concentrations over time and space, using the Landsat 7 imagery for four single dates in 2009, 2013, 2016 and 2020. Three regression methods, namely, partial least squares regression (PLSR), random forest (RF) and support vector machine (SVM) were used to model and predict the heavy metal concentrations for 2009. By comparing these models unbiasedly, the best model was selected for predicting and mapping the heavy metal distributions for 2013, 2016 and 2020. RF turned out to be the optimal model for 2009 with a coefficient of determination of prediction (R2P) and residual prediction deviation of prediction (RPDP) ranging from 0.62 to 0.92, and 1.23 to 2.79, respectively. The measured heavy metal distributions along the river floodplains, at the highlands and in the lowlands, were generally high, compared to their RF spatiotemporal predictions, which decreased over time. Increasing moisture contents in the floodplains adjacent to the river channels and the lowlands were the primary contributors to the reduction in the satellite reflectance spectra. However, topsoil erosion from rainfall, snowmelt as well as wind into the lowlands could have influenced the reduction in heavy metal spatiotemporal predicted values over time in the highlands. The spatiotemporal prediction maps produced for the heavy metals for the four different years revealed a good spatial similarity and consistency with the measured maps for 2009, which indicates their stability over the years.</p></article>", "keywords": ["Technology", "PROVINCE", "Landsat 7", "analysis", "Science", "Environmental Sciences & Ecology", "random forest (RF)", "MOISTURE", "01 natural sciences", "NIR SPECTROSCOPY", "0203 Classical Physics", "Remote Sensing", "0909 Geomatic Engineering", "spatiotemporal analysis", "AGRICULTURAL SOILS", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "spatiotemporal", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "RANGE", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "3. Good health", "MULTIVARIATE", "TOPSOILS", "13. Climate action", "Earth and Environmental Sciences", "Physical Sciences", "soil heavy metal; Landsat 7; partial least squares regression (PLSR); random forest (RF); support vector machine (SVM); spatiotemporal analysis", "0401 agriculture", " forestry", " and fisheries", "support vector machine (SVM)", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "soil heavy metal", "partial least squares regression (PLSR)", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://doi.org/1854/LU-01GM39MMFY2YP4FTDY102R50HB"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "name": "item", "description": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GM39MMFY2YP4FTDY102R50HB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "1854/LU-8751352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:58Z", "type": "Journal Article", "created": "2022-03-29", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.</p></article>", "keywords": ["Technology", "MANAGEMENT ZONES", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "PHYSICAL-PROPERTIES", "ONLINE", "Environmental Sciences & Ecology", "VNIR spectrometer", "geostatistical interpolation", "VARIABLES", "0203 Classical Physics", "Remote Sensing", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "0909 Geomatic Engineering", "QUALITY", "DATA FUSION", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "Science & Technology", "precision agriculture", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "DELINEATION", "Earth and Environmental Sciences", "Physical Sciences", "fAPAR", "0401 agriculture", " forestry", " and fisheries", "precision", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/1854/LU-8751352"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8751352", "name": "item", "description": "1854/LU-8751352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8751352"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:59Z", "type": "Journal Article", "created": "2024-02-09", "title": "Improving the fire weather index system for peatlands using peat-specific hydrological input data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.</p></article>", "keywords": ["CARBON SINK", "Environmental technology. Sanitary engineering", "01 natural sciences", "G", "4406 Human geography", "Geography. Anthropology. Recreation", "Meteorology & Atmospheric Sciences", "GE1-350", "ALGORITHM", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "QE1-996.5", "Science & Technology", "CLIMATE-CHANGE", "Strategic", " Defence & Security Studies", "CONSUMPTION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "SEVERITY", "0403 Geology", "0911 Maritime Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://nhess.copernicus.org/articles/24/445/2024/nhess-24-445-2024.pdf"}, {"href": "https://doi.org/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Natural%20Hazards%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "name": "item", "description": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-09T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:17Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:19Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.                     </p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "name": "item", "description": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:19Z", "type": "Journal Article", "created": "2021-11-30", "title": "Performance analysis of regional AquaCrop (v6.1) biomass  and surface soil moisture simulations using satellite  and in situ observations", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The current intensive use of agricultural land is affecting the land quality and contributes to climate change. Feeding the world's growing population under changing climatic conditions demands a global transition to more sustainable agricultural systems. This requires efficient models and data to monitor land cultivation practices at the field to global scale. This study outlines a spatially distributed version of the field-scale crop model AquaCrop version 6.1 to simulate agricultural biomass production and soil moisture variability over Europe at a relatively fine resolution of 30\u2009arcsec (\u223c1\u2009km). A highly efficient parallel processing system is implemented to run the model regionally with global meteorological input data from the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2), soil textural information from the Harmonized World Soil Database version 1.2 (HWSDv1.2), and generic crop information. The setup with a generic crop is chosen as a baseline for a future satellite-based data assimilation system. The relative temporal variability in daily crop biomass production is evaluated with the Copernicus Global Land Service dry matter productivity (CGLS-DMP) data. Surface soil moisture is compared against NASA Soil Moisture Active\u2013Passive surface soil moisture (SMAP-SSM) retrievals, the Copernicus Global Land Service surface soil moisture (CGLS-SSM) product derived from Sentinel-1, and in situ data from the International Soil Moisture Network (ISMN). Over central Europe, the regional AquaCrop model is able to capture the temporal variability in both biomass production and soil moisture, with a spatial mean temporal correlation of 0.8 (CGLS-DMP), 0.74 (SMAP-SSM), and 0.52 (CGLS-SSM). The higher performance when evaluating with SMAP-SSM compared to Sentinel-1 CGLS-SSM is largely due to the lower quality of CGLS-SSM satellite retrievals under growing vegetation. The regional model further captures the short-term and inter-annual variability, with a mean anomaly correlation of 0.46 for daily biomass and mean anomaly correlations of 0.65 (SMAP-SSM) and 0.50 (CGLS-SSM) for soil moisture. It is shown that soil textural characteristics and irrigated areas influence the model performance. Overall, the regional AquaCrop model adequately simulates crop production and soil moisture and provides a suitable setup for subsequent satellite-based data assimilation.                     </p></article>", "keywords": ["YIELD RESPONSE", "2. Zero hunger", "LAND", "QE1-996.5", "Science & Technology", "PRODUCTIVITY", "04 Earth Sciences", "0207 environmental engineering", "UNCERTAINTY", "Geology", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "WHEAT YIELD", "37 Earth sciences", "DATA ASSIMILATION", "13. Climate action", "ASSESSMENTS", "Physical Sciences", "IMPLEMENTATION", "FAO CROP MODEL", "Geosciences", " Multidisciplinary", "HIGH-RESOLUTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/14/7309/2021/gmd-14-7309-2021.pdf"}, {"href": "https://doi.org/20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846"}, {"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": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "name": "item", "description": "20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/cddeded8-2ef5-4f98-a327-9b94e00ba846"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Geosciences&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Geosciences&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Geosciences&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Geosciences&offset=100", "hreflang": "en-US"}], "numberMatched": 111, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-27T07:21:29.373954Z"}