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Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.

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We have proposed and developed a Revised Universal Soil Loss Equation framework fully implemented in the Google Earth Engine cloud platform (RUSLE-GEE) for high spatial resolution (90 m) soil erosion assessment. Using RUSLE-GEE, we analyzed the soil loss rate for different erosion levels, land cover types, and slopes in the Blue Nile Basin. The results showed that the mean soil loss rate is 39.73, 57.98, and 6.40 t ha\u22121 yr\u22121 for the entire Blue Nile, Upper Blue Nile, and Lower Blue Nile Basins, respectively. Our results also indicated that soil protection measures should be implemented in approximately 27% of the Blue Nile Basin, as these areas face a moderate to high risk of erosion (>10 t ha\u22121 yr\u22121 ). In addition, downscaling the Tropical RainfallMeasuring Mission (TRMM) precipitation data from 25 km to 1 km spatial resolution significantly impacts rainfall erosivity and soil loss rate. 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The map is the sum of water and tillage erosion. The map takes into account 4 types of land use: forest, permanent cover, agricultural crops without permanent cover and other land use. The map is based on the soil erosion map aggregated for each agricultural parcel in Flanders (2010). The original map on parcel level is a product of computer modeling with a spatial resolution of 5 m * 5 m by the \"Physical and Regional Geography Division, Department of Earth and Environmental Sciences, K.U. Leuven\". The calculation of water erosion is based on the Revised Soil Loss Equation (RUSLE, Renard et al., 1991) using a 2 dimensional approach for calculating the LS factor based on Desmet and Govers (1996). The water erosion is calculated with a crop factor of 0,001 for forest, a crop factor of 0,01 for permanent cover (excluding forest), a crop factor of 0,37 for other agricultural crops and a crop factor of 0 for other land use. Tillage erosion is calculated according to the WaTEM/SEDEM model based on Van Oost et al. (2000).", "protocol": "ogc:wms", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Belgium/70f368f8-db6e-430d-9ae4-fe0acd55.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "70f368f8-db6e-430d-9ae4-fe0acd55fe52", "name": "item", "description": "70f368f8-db6e-430d-9ae4-fe0acd55fe52", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/70f368f8-db6e-430d-9ae4-fe0acd55fe52"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "PMC10039844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:40Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract

Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.

Most studies that address the relationship between socio-economic characteristics and soil erosion focus on the effects of soil erosion on socio-economic conditions at different levels, from global to smallholder. Few, if any, efforts are made to address the influence of socio-economic variables on the soil erosion rate as an indicator of landscape degradation. The present study was carried out using spatial data from 402 catchments that cover Poland, to find out how socio-economic variables, which include area-weighted average income per capita (PLN km\u22122), area-weighted average gross domestic product (PLN km\u22122), population density (person km\u22122), and human development index can drive the soil erosion rate (kg ha\u22121 yr\u22121), along with annual precipitation, soil and geomorphological variables that include soil organic carbon content, soil water content, clay ratio, stream gradient, and terrain slope. The results showed that the soil erosion rate is indirectly driven by the socio-economic variables in the study catchments, as it is alleviated by increasing population density, the area-weighted average gross domestic product, and the human development index. Furthermore, analyzing the incremental relationship between soil erosion rate and the area-weighted average of socio-economic variables revealed that no uniform change can be observed in the relationship between the area-weighted average socio-economic variables and soil erosion in the study catchments.

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The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf\nAccess to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. 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It is responsible for the management and dissemination of the Geographical reference database of the Commission. It produces maps, spatial analysis, promotes geo-referencing of statistics and provides user support for Commission users of GIS.\nGISCO is one of the leaders of the INSPIRE initiative, supporting the implementation of the directive for the establishment of a European Spatial Data Infrastructure.\nThe datasets extracted from GISCO in August 2012 are for the year 2010:\n + Administrative boundaries at country level\n + Coastlines\n + Communes\n + EEZ\n + NUTS\n \nThese metadata are derived from the original metadata records available at Inspire@EC.", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["protected area", "soil erosion", "vegetation", "biogeography", "statistical information system", "administrative boundary", "coast", "Area management/restriction/regulation zones and reporting units", "Hydrography", "Administrative units", "Land cover", "Global"], "denominator": "100000"}, "links": [{"href": "https://sdi.eea.europa.eu/data/380c4c6f-410a-4f60-8ddc-c13e53b607db", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/380c4c6f-410a-4f60-8ddc-c13e53b607db", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/874742f9-d62f-48b4-8414-649a15653b8c.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "380c4c6f-410a-4f60-8ddc-c13e53b607db", "name": "item", "description": "380c4c6f-410a-4f60-8ddc-c13e53b607db", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/380c4c6f-410a-4f60-8ddc-c13e53b607db"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1996-01-01T00:00:00Z", "2009-01-13T00:00:00Z"]}}, {"id": "874742f9-d62f-48b4-8414-649a15653b8c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -89.9], [-180.0, 83.66], [180.0, 83.66], [180.0, -89.9], [-180.0, -89.9]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Area management/restriction/regulation zones and reporting units"}, {"id": "Hydrography"}, {"id": "Administrative units"}, {"id": "Land cover"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "protected area"}, {"id": "soil erosion"}, {"id": "vegetation"}, {"id": "biogeography"}], "scheme": "GEMET"}], "rights": "License", "updated": "2021-04-22T15:55:22.701Z", "type": "Dataset", "created": "2009-01-13", "language": "eng", "title": "Geographic Information System of the European Commission (GISCO), Jan. 2009", "description": "As a permanent service of Eurostat, GISCO: promotes and stimulates the use of GIS within the European Statistical System and the Commission; manages and disseminates the Geographical reference database of the Commission; acts as a reference centre concerning GIS; promotes geo-referencing of statistics and collaboration between national statistical institutes and mapping agencies; pursues and ensures standardisation and harmonisation in the exchange of Geographic Information; co-leads the INSPIRE initiative on the introduction of a European Spatial Data Infrastructure.\n\nWithin the framework of the GISCO project, an extensive geo-referenced database has been developed. One of the main topics of the GISCO mandate is to extend, maintain and update this database.\nList of data sets offered by GISCO per ISO 19115 topic category (short name in []):\n a) Farming: farm accountancy data network [FADN]\n b) Biota: Natural Vegetation [VEGT], Biogeographical Zones [BIOG], Biotopes [BIOT]\n c) Boundaries: Territorial Units for Statistics (NUTS + Statistical Regions) [NUTS], Communes [COMM], Subcommunes [SCOM], Administrative regions [ADRG], Countries [CNTR]\n d) Climatology / Meteorology / Atmosphere: Climate [CLIM]\n e) Economy: Fishing Areas [FISH]\n f) Elevation: Digital Elevation Model [DEM], Bathimetry [BATH]\n g) Environment: Land Quality [LNQU], Designated Areas [DSIG]\n h) Geo-scientific information: Soil Erosion Risk [SOER], Geology Geomorphology ErosionTrend [ERTR], Soil [SOIL], Sediments Discharges [SDDS], Coastal Erosion [COER]\n i) Imagery/Base maps/Earth cover: Land Cover [LCOV]\n j) Inland waters: Water Patterns [WTPT], Lakes [LAKE], Watersheds [WTSH]\n k) Locations: Geographical Grid [GGGR], LUCAS [LUCA], Settlements [STTL], Gazetteer [GAZZ]\n l) Oceans: Coastline boundaries [COAS], Sea Level rise [SELV]\n m) Planning/Cadastre: Inter Regional [IREG], Leader Zones [LEAD], Less Favoured Areas [LFAV], National Support [NTSU], Structural Funds Zones [STFU], Urban Audit [URAU]\n n) Society: Population [POPU], Degree of urbanisation [DGUR]\n o) Transportation: Airports [AIRP], Ferry links [FERR], Ports [PORT], Road infrastructure [ROAD], Railway infrastructure [RAIL]\n p) Utilities/Communication: Nuclear Power [NUPW], Energy Production [ENPR], Energy Transport [ENTR]\n\n Further details can be found in gisco_naming_conventions_20090831.pdf", "formats": [{"name": "GDB"}, {"name": "WWW:URL"}], "keywords": ["Area management/restriction/regulation zones and reporting units", "Hydrography", "Administrative units", "Land cover", "protected area", "soil erosion", "vegetation", "biogeography"], "denominator": "1000000"}, "links": [{"href": "https://sdi.eea.europa.eu/data/874742f9-d62f-48b4-8414-649a15653b8c", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/874742f9-d62f-48b4-8414-649a15653b8c.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "874742f9-d62f-48b4-8414-649a15653b8c", "name": "item", "description": "874742f9-d62f-48b4-8414-649a15653b8c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/874742f9-d62f-48b4-8414-649a15653b8c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1996-01-01T00:00:00Z", "2009-01-13T00:00:00Z"]}}, {"id": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "robotics"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "robotic chamber system"}, {"id": "multifactorial small plot experiment"}, {"id": "topsoil dilution by subsoil admixture"}, {"id": "CO2 exchange measurements"}, {"id": "soil erosion state"}, {"id": "soil organic carbon stock changes"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-04-23", "type": "Dataset", "created": "2024-03-27", "language": "eng", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state", "description": "Current efforts to enhance the agroecosystems carbon (C) sink function for climate mitigation faced challenges, particularly with traditional measures having limited suitability for increasing soil organic carbon (SOC) stocks. One way out of this dilemma could be to create an additional stable soil C sink by inducing SOC under saturation in the topsoil. In the past, attempts were made by abrupt topsoil dilution through subsoil admixture by means of deep tillage but with varying degrees of success. This was partly due to a lack of knowledge about the impact of soil condition like erosion state and N fertilization form ensuring optimum C input into the soil on the desired additional SOC accumulation and partly due to the lack of suitable experimental approaches to record the effect of all relevant factors simultaneously. To help solve these problems, a three-factorial experimental field trial were established: I.) \"moderate topsoil dilution\" (diluted vs non-diluted), II.) \"N fertilization form\" (mineral, i.e., calcium ammonium nitrate and urea vs organic, i.e., digestate) and III.) \"soil types\" (Calcic Luvisol, Nudiargic Luvisol, and Calcaric Regosol) covering the typical range of erosion states in the hummocky ground moraine landscape of NE Germany. \nThis datasets contains weather data, NDVI/RVI measurements data , soil texture data, soil and plant analysis data, CO2 flux obtained using a novel robotic chamber system that were conducted from 23.07.2020 (after manipulation) - 29.06.2021 (Harvest).\n\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "opendata", "robotic chamber system", "multifactorial small plot experiment", "topsoil dilution by subsoil admixture", "CO2 exchange measurements", "soil erosion state", "soil organic carbon stock changes", "Boden", "Germany", "Brandenburg", "Uckermark", "Quillow", "Dedelow"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Shrijana Vaidya", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "vaidyashriju@gmail.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mathias Hoffmann", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mathias.hoffmann@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Maren Dubbert", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maren.dubbert@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Katja Kramp", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "katja.kramp@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Marten Schmidt", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marten.schmidt@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Gernot Verch", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "gernot.verch@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "J\u00fcrgen Augustin", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "jaug@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/5, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=12f3a7bb-02da-4c99-b5bd-9803a0960263", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/12f3a7bb-02da-4c99-b5bd-9803a0960263", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "name": "item", "description": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/12f3a7bb-02da-4c99-b5bd-9803a0960263"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-23T00:00:00Z"}}, {"id": "b501217a-313d-4754-be00-c4cbbdc3a5af", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "stable isotopes"}, {"id": "nitrous oxide"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Gross N transformation rates"}, {"id": "topsoil erosion"}, {"id": "stable isotope techniques"}, {"id": "15N gas"}, {"id": "flux method"}, {"id": "Nitrous oxide"}, {"id": "Dinitrogen"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}], "scheme": "individual"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-09-26", "type": "Dataset", "created": "2025-05-05", "language": "eng", "title": "Impact of different soil erosion levels on gross N transformation processes and gaseous N losses: An incubation study", "description": "Soil erosion is a key driver of soil redistribution, often causing nutrient losses from agricultural fields and contributing to nutrient overload in natural ecosystems. The removal of topsoil leads to truncated soil profiles on shoulder slopes, in which the plough can incorporate deeper soil material. This can change soil properties and, thus, alter biogeochemical cycling. We designed a short-term mesocosm experiment to quantify most of the N transformation processes in topsoils of three erosion levels by combining different 15N-tracing techniques. The dataset contains CO\u2082, N\u2082O and N\u2082 fluxes measured under controlled conditions, as well as Ntrace model input data and data on plant fertiliser N uptake. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "topsoil", "erosion", "stable isotopes", "nitrous oxide", "opendata", "Gross N transformation rates", "topsoil erosion", "stable isotope techniques", "15N gas", "flux method", "Nitrous oxide", "Dinitrogen", "Boden", "Germany"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Julia Schoof", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "julia.schoof@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0008-4061-1689", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Maire Holz", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maire.holz@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1825-2308", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Tobias R\u00fctting", "organization": "University of Gothenburg", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tobias.rutting@gvc.gu.se"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-6034-8891", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Reinhard Well", "organization": "Th\u00fcnen Institute of Climate-Smart Agriculture", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "reinhard.well@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4746-4972", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Caroline Buchen-Tschiskale", "organization": "Th\u00fcnen Institute of Climate-Smart Agriculture", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "caroline.buchen-tschiskale@thuenen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0540-4883", "name_url": "", "description": 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