{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.13993234", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall,\u00a0LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.  This dataset is originally hosted at DOV (https://www.dov.vlaanderen.be/), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["soil erosion", "Belgium", "EROSION", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "SOILLOSS", "Flanders", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Callewaert, Seth, Oorts, Katrien, Luts, Dries, Deproost, Petra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993234"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993234", "name": "item", "description": "10.5281/zenodo.13993234", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993234"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.1162154", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:06Z", "type": "Dataset", "title": "Effect size data for the meta-analysis article \"\"Effects of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis\"", "description": "This Exel file includes the effect size dataset used for the statistical analysis for the paper 'Effect of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis', which will be published in the Journal of Applied Ecology in 2018.  This meta-analysis was conducted in the course of the project VineDivers (www.vinedivers.eu) funded through the 2013-2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders: Austrian Science Fund (FWF), Spanish Ministry for Economy and Competitiveness (MINECO), French National Research Agency (ANR), Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) and Federal Ministry of Education and Research (BMBF/Germany). P. Bat\u00e1ry was supported by the German Research Foundation (DFG BA4438/2-1) and by the Economic Development and Innovation Operational Programme of Hungary (GINOP\u20132.3.2\u201315\u20132016\u201300019).", "keywords": ["2. Zero hunger", "soil erosion", "grape yield", "soil fertility", "15. Life on land", "vineyard", "vegetation cover", "carbon sequestration", "meta-analysis", "13. Climate action", "bare soil", "weeds", "cover crops", "tillage intensity", "ecosystem services", "pest control", "organic management", "biodiversity"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1162154"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1162154", "name": "item", "description": "10.5281/zenodo.1162154", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1162154"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.12546320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:07Z", "type": "Report", "title": "Critical analysis of the experiences at member state level", "description": "The internal EJPSoil project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.\u00a0  In the current report (deliverable D3.2, version 1), the indicators, methods and data (including data availability) used by the countries participating in the SERENA project to assess specific soil threats and soil-based-ecosystem services were compared. Differences and similarities between the assessments of the different countries and the need for harmonisation were identified. The four soil threats considered are soil organic carbon loss, soil erosion, soil compaction, and soil sealing. The four soil-based ecosystem services included are greenhouse gas and climate regulation including carbon sequestration, hydrological control, primary/biomass production, and erosion control.", "keywords": ["Carbon sequestration", "Task 3.1", "Soil sealing", "Primary/biomass production", "Hydrological control", "15. Life on land", "SERENA", "6. Clean water", "Soil organic carbon loss", "D3.2v1", "13. Climate action", "EJPSoil", "WP3", "Erosion control", "11. Sustainability", "Soil erosion", "Regional scale", "National level", "Soil compaction"], "contacts": [{"organization": "Michel, Kerstin, Lemercier, Blandine, Lorenzetti, Romina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.12546320"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.12546320", "name": "item", "description": "10.5281/zenodo.12546320", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.12546320"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13951151", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:18Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Grant  n. 862695", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951151"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951151", "name": "item", "description": "10.5281/zenodo.13951151", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951151"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13951152", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:18Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951152"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951152", "name": "item", "description": "10.5281/zenodo.13951152", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951152"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13952097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:18Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil erosion control in Tuscany (Italy)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  One of the\u00a0objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The present data was prepared according to the methodology of the SERENA Soil erosion and soil erosion control cookbook.\u00a0 Soil loss was used as an indicator for soil erosion (ST). The map of soil mass not eroded was based on the RUSLE model. Soil erosion control was calculated as the difference between potential and actual soil erosion (SES, ecosystem service of soil erosion protection, i.e. soil eroded mass retained by vegetation, Mg/ha/y). For Italy, the cookbook was applied in the Tuscany region. \u00a0     To create the soil loss map we used:\u00a0       for R-factor, not freely available database of meteorological parameters spatialized at 250 m (minimum and maximum daily air temperature; cumulate daily precipitation) over Tuscany region (period 1990\u20132022, Lamma Consortium)\u00a0 and a local linear equation between R and mean annual precipitation (P);   for C -factor, Regional Land use map 1:10.000 (2018, freely available at:\u00a0https://www502.regione.toscana.it/geoscopio/usocoperturasuolo.html) and ESDAC method (https://doi.org/10.1016/j.landusepol.2015.05.021) ; \u00a0  for K-factor, sand, silt, clay, and O.C. (%) maps (built from 4.000 soil profiles, following FAO\u2019s methodology in GSP-GSOC map, Lamma Consortium), and Torri et al. (1997) function;   for LS-factor, DEM 10 m of Tuscany, (freely available at\u00a0https://www502.regione.toscana.it/geoscopio/cartoteca.html99) and Desmet & Govers (1996) SAGA tool (applied at 10 m and upscaled);   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor of\u00a0 0.5\u00a0 was considered, based on expert evaluation)   for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor\u00a0of\u00a0 0.5\u00a0 was considered, based on expert evaluation)\u00a0      Maps was delivered in the GeoTIFF format in the resolution of 100m. \u00a0     Delivered data will be validated by stakeholders from Italy (scientist) in October, 2024.", "keywords": ["Italy", "Tuscany", "SERENA project", "Soil-based ecosystem service", "RUSLE", "soil erosion control", "Grant n. 862695", "EJP-Soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13952097"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13952097", "name": "item", "description": "10.5281/zenodo.13952097", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13952097"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13991087", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Report", "title": "Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  \u2022It is the result of a modelling exercise and does not necessarily reflect reality.  \u2022Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .   \u2022It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.  \u2022These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.   ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["bundles", "soil sealing", "soil erosion", "Life Science", "GHG control", "soil-based ecosystem services", "soil threats", "SOC loss"], "contacts": [{"organization": "Hessel, Rudi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13991087"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13991087", "name": "item", "description": "10.5281/zenodo.13991087", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13991087"}, {"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": "10.5281/zenodo.13993235", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall,\u00a0LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.  This dataset is originally hosted at DOV (https://www.dov.vlaanderen.be/), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook  The DOV services:    WMS ( OGC:WMS-1.3.0-http-get-map )\u00a0  WCS ( OGC:WCS )", "keywords": ["soil erosion", "Belgium", "EROSION", "D3.3/ WP3/ Task 3.2", "EJPSOIL", "SERENA project", "SOILLOSS", "Flanders", "Grant n 862695", "Digital Soil Mapping"], "contacts": [{"organization": "Callewaert, Seth, Oorts, Katrien, Luts, Dries, Deproost, Petra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993235"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993235", "name": "item", "description": "10.5281/zenodo.13993235", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993235"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.13993556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK Erosion SoilErosion", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .     It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.      Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Slovakia", "soil erosion", "SERENA project", "RUSLE", "Erosion cookbook", "Grant  n 862695", "Grant n 862695", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993556"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993556", "name": "item", "description": "10.5281/zenodo.13993556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-29T00:00:00Z"}}, {"id": "10.5281/zenodo.13993557", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK Erosion SoilErosion", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .     It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.      Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Slovakia", "soil erosion", "SERENA project", "RUSLE", "Erosion cookbook", "Grant n 862695", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993557"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993557", "name": "item", "description": "10.5281/zenodo.13993557", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993557"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-29T00:00:00Z"}}, {"id": "10.5281/zenodo.13993747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:20Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSOIL SK SOIL Erosion ErosionControl", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.    The present data was prepared according to the methodology of SERENA soil erosion control cookbook for the territory of Slovakia. The map of soil loss by water erosion (soil threat) was based on the RUSLE model. or the soil erosion control, the difference between the erosion map without vegetation (C-factor = 1) and the erosion map with vegetation was calculated.\u00a0      The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats.\u00a0     To create the soil loss map we used theese data:\u00a0     \u00a0R factor - we used data from 100 automatic rain stations on minute rainfall for about 10-year period (national dataset)\u00a0     K factor \u2013 we used the\u00a0 source proposed in the cookbook from ESDAC\u00a0 dataset: Soil Erodibility (K- Factor) High Resolution dataset for Europe\u00a0     LS factor \u2013 we used the\u00a0 source proposed in the cookbook from ESDAC dataset: LS-factor (Slope Length and Steepness factor) for Slovakia\u00a0     C factor \u2013 we used LPIS database-this has information about crops on agricultural soil. We have values of C factor for all crops.\u00a0     P factor \u2013 we used the source proposed in the cookbook from ESDAC dataset:\u202fP factor for Slovakia. This map has values about 0.99 for Slovakia, so P-factor does not have much effect on the resulting erosion.\u00a0\u00a0     The delivered map was prepared in GeoTIFF format in the resolution of 500 * 500 m.", "keywords": ["Slovakia", "Soil-based ecosystem service", "RUSLE", "soil erosion control", "Grant n 862695", "Grant  n 862695", "Serena project", "EJP-Soil"], "contacts": [{"organization": "P\u00e1lka, Boris, Makovnikova, Jarmila,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13993747"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13993747", "name": "item", "description": "10.5281/zenodo.13993747", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13993747"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.14017261", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:21Z", "type": "Dataset", "created": "2024-07-02", "title": "SERENA EJPSOIL PL EROSION SOIL LOSS", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["862695", "Agricultural soils", "Soil threats", "RUSLE", "Poland", "SERENA", "Soil Loss", "EJP-SOIL", "Soil Erosion"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017261"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017261", "name": "item", "description": "10.5281/zenodo.14017261", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017261"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14017262", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:21Z", "type": "Dataset", "created": "2024-07-02", "title": "SERENA EJPSOIL PL EROSION SOIL LOSS", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["862695", "Agricultural soils", "Soil threats", "RUSLE", "Poland", "SERENA", "Soil Loss", "EJP-SOIL", "Soil Erosion"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14017262"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14017262", "name": "item", "description": "10.5281/zenodo.14017262", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14017262"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-31T00:00:00Z"}}, {"id": "2944731604", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:00Z", "type": "Journal Article", "created": "2019-05-09", "title": "Integrated Use of Satellite Remote Sensing, Artificial Neural Networks, Field Spectroscopy, and GIS in Estimating Crucial Soil Parameters in Terms of Soil Erosion", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil erosion is one of the main causes of soil degradation among others (salinization, compaction, reduction of organic matter, and non-point source pollution) and is a serious threat in the Mediterranean region. A number of soil properties, such as soil organic matter (SOM), soil structure, particle size, permeability, and Calcium Carbonate equivalent (CaCO3), can be the key properties for the evaluation of soil erosion. In this work, several innovative methods (satellite remote sensing, field spectroscopy, soil chemical analysis, and GIS) were investigated for their potential in monitoring SOM, CaCO3, and soil erodibility (K-factor) of the Akrotiri cape in Crete, Greece. Laboratory analysis and soil spectral reflectance in the VIS-NIR (using either Landsat 8, Sentinel-2, or field spectroscopy data) range combined with machine learning and geostatistics permitted the spatial mapping of SOM, CaCO3, and K-factor. Synergistic use of geospatial modeling based on the aforementioned soil properties and the Revised Universal Soil Loss Equation (RUSLE) erosion assessment model enabled the estimation of soil loss risk. Finally, ordinary least square regression (OLSR) and geographical weighted regression (GWR) methodologies were employed in order to assess the potential contribution of different approaches in estimating soil erosion rates. The derived maps captured successfully the SOM, the CaCO3, and the K-factor spatial distribution in the GIS environment. The results may contribute to the design of erosion best management measures and wise land use planning in the study region.</p></article>", "keywords": ["Landsat 8", "2. Zero hunger", "soil erosion", "550", "Science", "Q", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "01 natural sciences", "630", "field spectroscopy", "6. Clean water", "soil erosion; remote sensing; Sentinel-2; Landsat 8; ANN; RUSLE; field spectroscopy; OLSR; GWR", "remote sensing", "Field spectroscopy", "OLSR", "13. Climate action", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "Sentinel-2", "ANN", "GWR", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/9/1106/pdf"}, {"href": "https://doi.org/2944731604"}, {"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": "2944731604", "name": "item", "description": "2944731604", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2944731604"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-09T00:00:00Z"}}, {"id": "10.5281/zenodo.14036322", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:22Z", "type": "Dataset", "created": "2024-11-04", "title": "Geochemistry of soils and eroded suspended sediments from two large rural catchments in southern Brazil for studies on Suspended Sediment Fingerprinting", "description": "1. Introduction  This dataset comes from a research project entitled 'Water and pollutants, from cropfields to cities: evaluation and improved of soil management technologies in a catchment network ' supported by the Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS) and National Council for Scientific and Technological Development (CNPq) (process n\u00b010/0034-0). The project was carried out between 2010 and 2014 under the coordination of Jos\u00e9 Miguel Reichert and Danilo Rheinheimer dos Santos, professors at the Federal University of Santa Maria. One of the aims of this project was to understand the main pollutant transfer process from hillslopes to fluvial systems in large rural catchments representative of the agricultural production system in Southern Brazil. In this context, the Suspended Sediment Fingerprinting (SSF) was extremely useful for quantifying the origin of the sediment yield monitored at the outlet of these catchments. Among the various works carried out in this project, we highlight Tales Tiecher's doctoral thesis (Tiecher, 2015) that explored the SSF in many catchments, including the Concei\u00e7\u00e3o and Guapor\u00e9 river basins.  2. Material and Methods  The catchments represent the magnitude of erosive and hydrological processes representative of Southern Brazil. The Concei\u00e7\u00e3o catchment has a drainage area of 804 km2 (28\u00b027\u203222\u2033S and 53\u00b058\u203224\u2033 W). According to K\u00f6ppen, the climate is Cfa type, with an annual rainfall between 1,750 and 2,000 mm. Geology is riodacithe basalt, with a formation of deep and highly weathered soils (Oxisols, Ultisols, and Alfisols). The relief is characterized by gentle slopes (6\u20139 %) on top and hillside slopes and higher steepness (10\u201314%) near the drainage channels. Farming based on the production of soybeans (Glycine max) in summer and wheat (Triticumspp.), oats (Avena strigosa), and ryegrass (Lolium multiflorum) in winter. The Guapor\u00e9 catchment has a drainage area of 1,980 km2 (28\u00b054\u203241\u2033S and 51\u00b057\u203210\u2033W), it covers part of the meridional plateau border. The climate is classified as Cfa, with annual rainfall varies between 1,400 and 2,000 mm. Geology is characterized by volcanic lava flows, and topography is undulating to hilly. Due to variations in landscape, several classes of soils (Entisols, Luvisol, Cambisol, Oxisol, Ultisol, and Chernosol). The land use is highly heterogeneous. In the upper third of the catchment, there is a predominance of soybean cultivated under no-tillage soil management. In the other two-thirds (middle and lower parts), land use and soil management are very heterogeneous. The main land uses are tobacco (Nicotiana tabacum) and maize (Zea mays) crops, Eucalyptus (Eucalyptus spp.), as well as pastures for dairy cattle. The contribution of unpaved roads is relevant to the sediment yield in both catchments (Didon\u00e9 et al., 2014). Composite samples of potential sediment sources (cropland, unpaved roads, and stream channel banks) were collected. Sediment source samples were taken from the surface soil layer (0\u20130.05 m) of cropland and unpaved roads and on exposed sites located along the river channel network. Each sample was composed of at least 10 subsamples. To obtain representative samples of suspended sediment transported in the catchment\u2019s outlet were used three strategies: (1) to collect flood suspended sediments (FSS) through the manual sampling (USDH-48) at different periods during the rising and falling stages of floods; (2) to deploy time-integrated suspended sediment samplers (TISS), by installing the device developed by Phillips et al. (2000) at different sites within the catchments; to collect fine-bed sediment (FBS) with a suction stainless sampler limiting the loss of fine material at the bed river. Source and sediment samples were oven\u2010dried at 50 \u00b0C, gently disaggregated using a pestle and mortar, and then sieved to 62,5 \u03bcm. The geochemical tracers evaluated were total organic carbon estimated by wet oxidation (K2Cr2O7 + H2SO4) and the total concentration of Al, Ba, Be, Ca, Co, Cr, Cu, Fe, K, La, Li, Mg, Mn, Na, Ni, P, Pb, Sr, Ti, V, and Zn using inductively coupled plasma optical emission spectrometry after microwave\u2010assisted digestion with concentrated HCl and HNO3 (ratio 3:1) for 9.5 min at 182 \u00b0C (Tiecher, 2015; Tiecher et al. 2017, 2018).  \u00a0 3. Final remarks  \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The SSF results provided by this dataset (Tiecher, 2015) combined with sediment yield monitoring were very important for the assessment and modeling studies in these two catchments that took place after that (Didon\u00e9 et al., 2015; 2017). In addition, other studies have explored the same sample bank, expanding upon the array of tracer properties and increasing our understanding about the mechanisms of sediment and pollutant transfer in these catchments (Le Gall et al. 2017; Zafar et al., 2017; Ramon et al., 2020).  \u00a04. References  \u00a0Didon\u00e9, E. J., Minella, J. P. G., Reichert, J. M., Merten G. H., Dalbianco, L., Barros, C. A. P., Ramon, R. (2014) Impact of no-tillage agricultural systems on sediment yield in two large catchments in southern Brazil. J Soils Sediments 14:1287\u20131297.  Didon\u00e9, E.J., Minella, J.P.G., Evrard, O. (2017). Measuring and modelling soil erosion and sediment yields in a large cultivated catchment under no-till of Southern Brazil. Soil Tillage Res. 174, 24-33. https://doi.org/10.1016/j.still.2017.05.011  Didon\u00e9, E. J.; Minela, J. P. G.; Merten, G. H. (2015). Quantifying soil erosion and sediment yield in a catchment in southern Brazil and implications for land conservation. J. Soils Sediments 11, 2334-2346. https://doi.org/10.1007/s11368-015-1160-0  le Gall, M., Evrard, O., Dapoigny, A., Tiecher, T., Zafar, M., Minella, J. P. G., Laceby, J. P., & Ayrault, S. (2017). Tracing sediment sources in a subtropical agricultural catchment of southern Brazil cultivated with conventional and conservation farming practices. Land Degradation and Development, 28(4). https://doi.org/10.1002/ldr.2662  Ramon, R., Evrard, O., Laceby, J. P., Caner, L., Inda, A. v., Barros, C. A. P., Minella, J. P. G., & Tiecher, T. (2020). Combining spectroscopy and magnetism with geochemical tracers to improve the discrimination of sediment sources in a homogeneous subtropical catchment. Catena, 195, 104800. https://doi.org/10.1016/j.catena.2020.104800  Tiecher, T. (2015). Fingerprinting sediment sources in agricultural catchments in Southern Brazil. Doctoral Dissertation in Soil Science. Universidade Federal de Santa Maria, Santa Maria, RS.  Tiecher, T., Minella, J. P. G., Caner, L., Evrard, O., Zafar, M., Capoane, V., le Gall, M., & Santos, D. R. D. (2017). Quantifying land use contributions to suspended sediment in a large cultivated catchment of Southern Brazil (Guapor\u00e9 River, Rio Grande do Sul). Agriculture, Ecosystems and Environment, 237. https://doi.org/10.1016/j.agee.2016.12.004  Tiecher, T., Minella, J. P. G., Evrard, O., Caner, L., Merten, G. H., Capoane, V., Didon\u00e9, E. J., & dos Santos, D. R. (2018). Fingerprinting sediment sources in a large agricultural catchment under no-tillage in Southern Brazil (Concei\u00e7\u00e3o River). Land Degradation and Development, 29(4). https://doi.org/10.1002/ldr.2917.  Zafar, M., Tiecher, T., Capoane, V., Troian, A., dos Santos, D.R. (2017). Characteristics, lability and distribution of phosphorus in suspended sediment from a subtropical catchment under diverse anthropic pressure in Southern Brazil. Ecol. Eng. 100, 28\u201345.", "keywords": ["No-tiilage", "Fingerprinting approach", "Soil erosion", "Sediment yield", "Sediment quality", "Brazil"], "contacts": [{"organization": "Tiecher, Tales, Minella, Jean P G, Reichert, Jos\u00e9 Miguel, dos Santos, Danilo R, Bender, Marcos, Didon\u00e9, Elizeu, Barros, Cl\u00e1udia A., Dalbianco, Leandro, Ramon, Rafael, Capone, Viviane,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14036322"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14036322", "name": "item", "description": "10.5281/zenodo.14036322", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14036322"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-04T00:00:00Z"}}, {"id": "10.5281/zenodo.17036321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:07Z", "type": "Dataset", "title": "Potential annual soil loss by erosion (RUSLE), Rwanda", "description": "unspecifiedDISCLAIMER:  These soil property maps were generated at a resolution of 100m, with the best available data at the time of production, including global datasets and legacy national level data, using digital soil mapping and GIS modelling. The derived products are provided 'as-is' without any warranty, regarding accuracy, completeness or fitness for a particular purpose. Users are advised to verify the information independently before making decisions based on it. Additionally, users should assess the local 'predictive' accuracy of the maps prior to using them for making recommendations at local (or field) level.  The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of ISRIC concerning the legal status of any country, territory, city or area or of is authorities, or concerning the delimitation of its frontiers or boundaries.  Despite the fact that this product is created with utmost care, the author(s) and/or publisher(s) and/or ISRIC cannot be held liable for any damage caused by the use of this portal or any content therein in whatever form, whether or not caused by possible errors or faults nor for any consequences thereof.", "keywords": ["Soil", "Land", "Mapping", "Soil erosion", "Rwanda", "RUSLE", "Agriculture", "Crop production", "Modelling"], "contacts": [{"organization": "Colman, Betony", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17036321"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17036321", "name": "item", "description": "10.5281/zenodo.17036321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17036321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-02T00:00:00Z"}}, {"id": "10.5281/zenodo.17067540", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:08Z", "type": "Dataset", "title": "Potential annual soil loss by erosion (RUSLE), Kenya", "description": "unspecifiedDISCLAIMER:    These soil property maps were generated at a resolution of 100m, with the best available data at the time of production, including global datasets and legacy national level data, using digital soil mapping and GIS modelling. The derived products are provided 'as-is' without any warranty, regarding accuracy, completeness or fitness for a particular purpose. Users are advised to verify the information independently before making decisions based on it. Additionally, users should assess the local 'predictive' accuracy of the maps prior to using them for making recommendations at local (or field) level.  The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of ISRIC concerning the legal status of any country, territory, city or area or of is authorities, or concerning the delimitation of its frontiers or boundaries.  Despite the fact that this product is created with utmost care, the author(s) and/or publisher(s) and/or ISRIC cannot be held liable for any damage caused by the use of this portal or any content therein in whatever form, whether or not caused by possible errors or faults nor for any consequences thereof.", "keywords": ["Soil", "Land", "Mapping", "Soil erosion", "RUSLE", "Agriculture", "Crop production", "Kenya", "Modelling"], "contacts": [{"organization": "Colman, Betony", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17067540"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17067540", "name": "item", "description": "10.5281/zenodo.17067540", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17067540"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-06T00:00:00Z"}}, {"id": "10.5281/zenodo.17067648", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:08Z", "type": "Dataset", "title": "Potential annual soil loss by erosion (RUSLE), Ethiopia", "description": "unspecifiedAverage annual soil loss (t ha-1 yr-1) calculated using the Revised Universal Soil Loss Equation (RUSLE): A = R \u00d7 K \u00d7 LS \u00d7 C \u00d7 P. This model estimates sheet and rill erosion risk based on five factors: rainfall erosivity (R), soil erodibility (K), topography (LS), cover-management (C), and support practices (P). The resulting map supports erosion risk assessment and soil conservation planning in Ethiopia. Each input layer (R, K, LS, C, P) was derived as a separate spatial dataset as follows:        R factor: Rainfall erosivity factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 yr\u207b\u00b9). Derived by clipping the global rainfall erosivity dataset of Panagos et al. (2017, https://doi.org/10.1038/s41598-017-04282-8), as published in Panagos et al. (2023, https://doi.org/10.1016/j.dib.2023.1094820), to the administrative country boundry of Ethiopia.  K factor:\u00a0 Soil erodibility factor ((Mg/ha)[(MJ/ha)(mm/h)]\u207b\u00b9), calculated following the method of Torri et al. (1997, https://doi.org/10.1016/S0341-8162(97)00036-2).\u00a0    The input sand, silt, clay and soil organic carbon maps were obtained from SoilGrids (https://doi.org/10.5194/soil-7-217-2021)          LS factor: Topographic factor computed using slope and flow accumulation following the method of Luvai et al. (2021, https://doi.org/10.7176/JEES/11-16-06), and applied to areas with slope <50% in accordance with Panagos, Borrelli, and Meusburger (2015, https://doi.org/10.1016/j.scitotenv.2015.01.008). The LS factor was derived from the MERIT Digital Elevation Model (https://doi.org/10.1002/2017GL072874).  C factor: Cover-management factor, calculated following the method of Negese (2024: https://doi.org/10.1016/j.rsase.2023.101089), using NDVI data derived from Landsat 8 Surface Reflectance Tier 1 Collection 2 imagery (2018\u20132023) (https://www.usgs.gov/landsat-missions/landsat-8).  P factor: Support practices factor. P = 1 due to data gaps.     This research was carried out for the LSC-IS hubs project under the funding program Development Smart Innovation through Research in Agriculture (DeSIRA), European Union. EU Contribution Agreement to MinBUZA: FOOD/2020/419-433 ; MinBUZA to WUR\u00a0Grant number: 4000004100.  \u00a0    Coordinate Reference System -\u00a0EPSG:20138", "keywords": ["Soil", "Land", "Mapping", "Soil erosion", "RUSLE", "Agriculture", "Ethiopia", "Crop production", "Modelling"], "contacts": [{"organization": "Colman, Betony", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17067648"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17067648", "name": "item", "description": "10.5281/zenodo.17067648", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17067648"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-06T00:00:00Z"}}, {"id": "10.5281/zenodo.17405290", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:09Z", "type": "Dataset", "title": "Post-fire soil erosion measurements from field plots", "description": "Dataset description  This is a dataset of post-fire soil erosion measurements compiled from per reviewed studies integrating plot-scale data. The dataset was first developed for the publication Girona-Garc\u00eda et al. (2021) and has since been updated for the validation of recent global modelling efforts on post-fire soil erosion.  It is important to note that this dataset does not result from an exhaustive or systematic search for post-fire erosion data. The initial data collection aimed to support Girona-Garc\u00eda et al. (2021) by including studies featuring both burned plots and corresponding control or mitigation measurements, ensuring comparability across sites. Subsequently, additional data were incorporated to enhance the dataset\u2019s completeness; however, these additions still do not represent a systematic or comprehensive compilation of all available plot-scale post-fire erosion studies.  The work of this dataset can be connected to the original motivation study Girona-Garc\u00eda et al. (2021), but also to Girona-Garc\u00eda et al. (2023) , and to Girona-Garc\u00eda et al. (2024a), and to the associated dataset Girona-Garc\u00eda et al. (2024b).", "keywords": ["soil erosion", "erosion plot", "post-fire"], "contacts": [{"organization": "Vieira, Diana, Girona-Garc\u00eda, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17405290"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17405290", "name": "item", "description": "10.5281/zenodo.17405290", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17405290"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-21T00:00:00Z"}}, {"id": "10.5281/zenodo.3660940", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:24:17Z", "type": "Dataset", "title": "Long-term data from field erosion plot studies in eastern Austria", "description": "Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam. Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.", "keywords": ["2. Zero hunger", "soil erosion", " surface runoff", " field erosion plots", " no-till", " tillage practices", "runoff plots", " conservation tillage", " soil erosion", " surface runoff", " crop yield", " nutrient losses", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Klik, Andreas, Rosner. Josef,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3660940"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3660940", "name": "item", "description": "10.5281/zenodo.3660940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3660940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-11T00:00:00Z"}}, {"id": "10.5281/zenodo.6033551", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:25Z", "type": "Dataset", "title": "Data to support the publication \"The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\" https://doi.org/10.3390/land10090964", "description": "Underlying data of soil measurements and analysis by TUC team for the publication \ufffd\ufffd\ufffdThe Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\ufffd\ufffd\ufffd https://doi.org/10.3390/land10090964 from the SoilCare project study sites in Crete. Abstract: The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\ufffd\ufffd\ufffdor with some omissions\ufffd\ufffd\ufffd, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water", "Soil erosion", " bulk density", " Mineral Nitrogen", " Exchangeable Mg", " Available P", " SOC"], "contacts": [{"organization": "Tsanis, Ioannis, Seiradakis, Konstantinos, Sarchani, Sofia, Panagea, Ioanna S, Alexakis, Dimitrios D, Koutroulis, Aristeidis G,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6033551"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6033551", "name": "item", "description": "10.5281/zenodo.6033551", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6033551"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6033552", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:25Z", "type": "Dataset", "title": "Data to support the publication \"The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\" https://doi.org/10.3390/land10090964", "description": "Underlying data of soil measurements and analysis by TUC team for the publication \ufffd\ufffd\ufffdThe Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment\ufffd\ufffd\ufffd https://doi.org/10.3390/land10090964 from the SoilCare project study sites in Crete. Abstract: The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\ufffd\ufffd\ufffdor with some omissions\ufffd\ufffd\ufffd, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water", "Soil erosion", " bulk density", " Mineral Nitrogen", " Exchangeable Mg", " Available P", " SOC"], "contacts": [{"organization": "Tsanis, Ioannis, Seiradakis, Konstantinos, Sarchani, Sofia, Panagea, Ioanna S, Alexakis, Dimitrios D, Koutroulis, Aristeidis G,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6033552"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6033552", "name": "item", "description": "10.5281/zenodo.6033552", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6033552"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.7777673", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:39Z", "type": "Software", "title": "HiLSS Project", "description": "The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '<em>Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. - Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)</em>'. <strong>List of files included in <em>HLC_RUSLE.zip</em>:</strong> <em>R_script_code named 'HLC_RUSLE' in .rmd format</em> <em>Output folder: </em> <em>Figures folder: .png products of the R script code</em> <em>Rasters folder: .png products of the R script code</em> <em>Tables folder: .pdf products of the R script code</em> <em>GeoTiff folder (.TIFF file format): Regional RUSLE Data</em> <em>GPKG:</em> <em>HLC </em>dataset and <em>Region Of Interest file in .gpkg format.</em>", "keywords": ["13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Filippo, Brandolini", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7777673"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7777673", "name": "item", "description": "10.5281/zenodo.7777673", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7777673"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.7297158", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:35Z", "type": "Dataset", "title": "Measured magnetic susceptibility data for different magnetite tracer stacking scenarios", "description": "Open AccessPeer reviewed", "keywords": ["Magnetic susceptibility", "Soil erosion", "Bartington MS2 system", "15. Life on land"], "contacts": [{"organization": "Zumr, David, Li, Tailin, G\u00f3mez, Jos\u00e9, Guzm\u00e1n, Gema,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7297158"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7297158", "name": "item", "description": "10.5281/zenodo.7297158", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7297158"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-07T00:00:00Z"}}, {"id": "10.5281/zenodo.7735993", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:38Z", "type": "Software", "title": "HiLSS Project", "description": "The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '<em>Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. - Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)</em>'. <strong>List of files included in <em>HLC_RUSLE.zip</em>:</strong> <em>R_script_code named 'HLC_RUSLE' in .rmd format</em> <em>Output folder: </em> <em>Figures folder: .png products of the R script code</em> <em>Rasters folder: .png products of the R script code</em> <em>Tables folder: .pdf products of the R script code</em> <em>GeoTiff folder (.TIFF file format): Regional RUSLE Data</em> <em>GPKG:</em> <em>HLC </em>dataset and <em>Region Of Interest file in .gpkg format.</em>", "keywords": ["13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7735993"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7735993", "name": "item", "description": "10.5281/zenodo.7735993", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7735993"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:39Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated.   Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships)   The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans.     HLC_RUSLE.zip    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'.   List of files included in HLC_RUSLE.zip:      R_script_code named 'HLC_RUSLE'\u00a0in .rmd format   Output folder:        Figures folder: .png products of the R script code    Rasters\u00a0folder: .png products of the R script code    Tables\u00a0folder: .pdf\u00a0products of the R script code       GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data   GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format      Spatial statistics to reveal patterns and connections in the historic landscape    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'.   It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229     Supplementary material_Land _SI_Historic Landscape Evolution.zip    Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation.     Project_Publications.zip    List of .pdf file included in the folder:\u00a0   1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2)   2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305)   3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z)   4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.7934059", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:40Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated.   Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships)   The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans.     HLC_RUSLE.zip    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'.   List of files included in HLC_RUSLE.zip:      R_script_code named 'HLC_RUSLE'\u00a0in .rmd format   Output folder:        Figures folder: .png products of the R script code    Rasters\u00a0folder: .png products of the R script code    Tables\u00a0folder: .pdf\u00a0products of the R script code       GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data   GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format      Spatial statistics to reveal patterns and connections in the historic landscape    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'.   It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229     Supplementary material_Land _SI_Historic Landscape Evolution.zip    Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation.     Project_Publications.zip    List of .pdf file included in the folder:\u00a0   1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2)   2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305)   3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z)   4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7934059"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7934059", "name": "item", "description": "10.5281/zenodo.7934059", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7934059"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.8079165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:41Z", "type": "Software", "title": "MagHut model - modelling tool to simulate volume magnetic susceptibility based on the known tracer distribution in the soil", "description": "Non-destructive volume magnetic susceptibility measurements (MS) from the surface do not provide information about the depth distribution of a magnetic material or about the amount of magnetic material. We have developed a model that can be used to predict the volume magnetic susceptibility at the surface for a given (known or hypothesized) stratification of the magnetic layers in the soil profile. We show that the relative decrease in MS depends not only on the concentration of the magnetic tracer, but also on the distribution of the magnetic tracer in the soil profile. The decrease in sensitivity was fitted with a double exponential function. The function was implemented in a newly-developed MagHut model. The MagHut model is a tool that can be used for forward modeling of the volume magnetic susceptibility when the tracer distribution in the soil profile is known.", "keywords": ["soil erosion", "tracer", "soils", "magnetic susceptibility"], "contacts": [{"organization": "Zumr, David, Li, Tailin, G\u00f3mez, Jose, Guzm\u00e1n, Gema,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8079165"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8079165", "name": "item", "description": "10.5281/zenodo.8079165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8079165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-05T00:00:00Z"}}, {"id": "10953/4139", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:54Z", "type": "Journal Article", "created": "2021-06-30", "title": "The role of cover crops in the loss of protected and non-protected soil organic carbon fractions due to water erosion in a Mediterranean olive grove", "description": "Soil erosion plays an important role in C cycling at farm scale, especially in bare soil areas. In Mediterranean woody crops, temporary cover crops (CC) effectively reduce soil erosion and increase total and protected soil organic carbon (SOC) fractions. However, the effects of CC in olive groves on the preferential loss of organic carbon (Corg) fractions remains poorly understood. To address this issue, in four plots with seeded CC and two tilled plots (CT) in a Spanish olive grove, the unprotected and protected Corg fractions were measured in soil and sediments over the course of a hydrological year. The sediment/soil C enrichment ratios (ERSOC) were calculated, and results analysed considering the rainfall regimes of the site: dry (DS), heavy-rainy (HRS) and rainy (RS). Total, unprotected and protected Corg contents in the top 5 cm soil of CC plots were 46 %, 88.4 % and 28.5 %, respectively, higher than those of CT. 79.7 % and 70.3 % of the annual sediment yield (SY) was collected during December in CC and CT plots, respectively. Soil loss in CC plots ( = 9.2 Mg ha\u20131 yr\u20131) was significantly lower (\u221255.6 %) than that in CT plots. Despite that the average eroded Corg was higher in the CT ( = 222 kg C ha\u20131 yr\u20131) compared to CC ( = 148 kg C ha\u20131 yr\u20131) plots differences were not significant due to the higher Corg concentration in the sediment from CC plots. The highest proportion of eroded Corg (44%\u201345%) corresponded to the physically protected fraction. The highest ERSOC (1.99 and 2.04 for CC and CT, respectively) was recorded in DS whereas the lowest was in the RS (0.90) and HRS (0.96) seasons. The mean ERSOC were of 1.00 and 0.92 in the CC and CT plots, with no significant difference. The fact that most of the SY was recorded in one month, when CC plants were not fully developed, might explain the ERSOC at 1, and why their presence did not modify it. This study demonstrates that CC favours greater total, unprotected and protected Corg fractions in the topsoil, promoting soil C sequestration. The asynchrony between the periods of full development of the CC plants and those with the highest rainfall erosivity prevented any selectiveness of the eroded Corg. Thus, fast-growing CC plant species with short life-cycles are recommended, as well as adequate management to promote self-seeding avoiding soil disturbance for seeding in erosion prone seasons. This research has been supported by the Spanish Government (grants no. AGL2015-40128-C03-01 and PID2019-105793RB-I00), FEDER funds and the European Commission (SHui, grant no. 773903) and the H2020 PRIMA project SUSTAINOLIVE (grant no. 1811).", "keywords": ["2. Zero hunger", "55 Geolog\u00eda y ciencias afines", "550", "63 Agricultura.", "63 Agricultura", "Olive groves", "04 agricultural and veterinary sciences", "15. Life on land", "55 Geolog\u00eda y ciencias afines.", "630", "Spontaneous temporary cover crops", "Soil erosion", "Olive grove", "0401 agriculture", " forestry", " and fisheries", "SOC", "Carbon enrichment ratio"]}, "links": [{"href": "https://doi.org/10953/4139"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10953/4139", "name": "item", "description": "10953/4139", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10953/4139"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.60692/00fqh-scr74", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:14Z", "type": "Journal Article", "created": "2022-02-28", "title": "Expansion of olive orchards and their impact on the cultivation and landscape through a case study in the countryside of Cordoba (Spain)", "description": "Open Access\u062a\u0645 \u062a\u0639\u0632\u064a\u0632 \u0627\u0633\u062a\u062f\u0627\u0645\u0629 \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0634\u0631\u064a\u0639\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u0644\u0643\u0646 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0646\u0641\u0633\u0647 \u062a\u0639\u0632\u0632 \u0647\u0630\u0647 \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0623\u064a\u0636\u064b\u0627 \u0623\u0646\u0638\u0645\u0629 \u0623\u0643\u062b\u0631 \u0625\u0646\u062a\u0627\u062c\u064a\u0629 \u0645\u0646 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\u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10.60692/00fqh-scr74"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/00fqh-scr74", "name": "item", "description": "10.60692/00fqh-scr74", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/00fqh-scr74"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.60692/2ezcc-55g95", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:14Z", "type": "Journal Article", "created": "2021-11-28", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>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.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.60692/2ezcc-55g95"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/2ezcc-55g95", "name": "item", "description": "10.60692/2ezcc-55g95", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/2ezcc-55g95"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10261/279272", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:40Z", "type": "Journal Article", "created": "2022-02-21", "title": "How Socio-Economic Drivers Explain Landscape Soil Erosion Regulation Services in Polish Catchments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>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.</p></article>", "keywords": ["HDI", "2. Zero hunger", "Conservation of Natural Resources", "landscape; ecosystem services; soil erosion regulation; area-weighted average income per capita; area-weighted average GDP; HDI", "04 agricultural and veterinary sciences", "15. Life on land", "Area-weighted average income per capita", "01 natural sciences", "Article", "Carbon", "Area-weighted average GDP", "Soil erosion regulation", "Soil", "Socioeconomic Factors", "13. Climate action", "11. Sustainability", "Ecosystem services", "Humans", "0401 agriculture", " forestry", " and fisheries", "Landscape", "Poland", "Environmental Monitoring", "Soil Erosion", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1660-4601/19/4/2372/pdf"}, {"href": "https://www.mdpi.com/1660-4601/19/4/2372/pdf"}, {"href": "https://doi.org/10261/279272"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/279272", "name": "item", "description": "10261/279272", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/279272"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-18T00:00:00Z"}}, {"id": "10023/27354", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:31Z", "type": "Journal Article", "created": "2023-03-27", "title": "Modelling the impact of historic landscape change on soil erosion and degradation", "description": "Abstract<p>International policies and guidelines often highlight the divide between \uffe2\uff80\uff98nature\uffe2\uff80\uff99 and \uffe2\uff80\uff98heritage\uffe2\uff80\uff99 in landscape management, and the weakness of monodisciplinary approaches. This study argues that historic agricultural practices have played a key role in shaping today\uffe2\uff80\uff99s landscapes, creating a heritage which affords opportunities for more sustainable landscape management. The paper develops a new interdisciplinary approach with particular reference to soil loss and degradation over the long term. It presents innovative methods for assessing and modelling how pre-industrial agricultural features can mitigate soil erosion risk in response to current environmental conditions. Landscape archaeology data presented through Historic Landscape Characterisation are integrated in a GIS-RUSLE model to illustrate the impact of varying historic land-uses on soil erosion. The resulting analyses could be used to inform strategies for sustainable land resource planning.</p", "keywords": ["2. Zero hunger", "MCC", "GE", "330", "Science", "Q", "R", "DAS", "CC Archaeology", "15. Life on land", "CC", "333", "Article", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "Medicine", "SDG 2 - Zero Hunger", "soil erosion; geomorphology; landscape archaeology; gis modelling", "GE Environmental Sciences", "SDG 15 - Life on Land"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1157142/2/s41598-023-31334-z.pdf"}, {"href": "https://www.nature.com/articles/s41598-023-31334-z.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=290514/25AE1152-3C53-4F19-82F7-C273FA162B1A.pdf&pub_id=290514"}, {"href": "https://doi.org/10023/27354"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10023/27354", "name": "item", "description": "10023/27354", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10023/27354"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-27T00:00:00Z"}}, {"id": "10138/579229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:35Z", "type": "Journal Article", "created": "2024-06-11", "title": "Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Abstract<p>Dust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size\uffe2\uff80\uff90resolved dust fluxes were estimated at three levels between 2 and 4\uffc2\uffa0m using the eddy\uffe2\uff80\uff90covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non\uffe2\uff80\uff90uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well\uffe2\uff80\uff90mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non\uffe2\uff80\uff90erosive elements.</p", "keywords": ["[SDE] Environmental Sciences", "Aeolian erosion events", "Geologie", " Hydrologie", " Meteorologie", "550", "dust flux", "Soil wind erosion", "Ensure access to affordable", " reliable", " sustainable and modern energy for all", "Dust flux layer", "0207 environmental engineering", "02 engineering and technology", "Constant flux layer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "551", "01 natural sciences", "http://metadata.un.org/sdg/7", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Simulaci\u00f3 per ordinador", "Atmospheric surface layer", "size distribution", "Climate science", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Size distribution", "15. Life on land", "520", "Physical sciences", "Earth sciences", "13. Climate action", "[SDE]Environmental Sciences", "Soil erosion", "soil wind erosion", "http://metadata.un.org/sdg/11", "constant flux layer"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040657"}, {"href": "https://hal.inrae.fr/hal-04618242/file/JGR%20Atmospheres%20-%202024%20-%20Dupont%20-%20Impact%20of%20Dust%20Source%20Patchiness%20on%20the%20Existence%20of%20a%20Constant%20Dust%20Flux%20Layer%20During.pdf"}, {"href": "https://doi.org/10138/579229"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/579229", "name": "item", "description": "10138/579229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/579229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-11T00:00:00Z"}}, {"id": "10261/253137", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:38Z", "type": "Journal Article", "created": "2020-06-24", "title": "Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux?", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).</p></article>", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/10261/253137"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253137", "name": "item", "description": "10261/253137", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253137"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "10261/211171", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:37Z", "type": "Dataset", "title": "Basic data underlying research in manuscrip \"Variation of soil organic carbon, stable isotopes, and soil quality indicators across an erosion\u2013deposition catena in a historical Spanish olive orchard\"", "description": "Open AccessSpanish Ministry of Economy and Competitiveness (grant no. AGL2015-40128-C03-01). European Commission (SHui,grant no. 773903).", "keywords": ["2. Zero hunger", "organic carbon", "Soil erosion", "organic nitrogen", "Olive", "15. Life on land", "Organic carbon", "olive"], "contacts": [{"organization": "G\u00f3mez Calero, Jos\u00e9 Alfonso, Guzm\u00e1n, Gema, Toloza, Arsenio, Resch, Christian, Garc\u00eda- Ruiz, Roberto, Mabit, Lionel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/211171"}, {"rel": "self", "type": "application/geo+json", "title": "10261/211171", "name": "item", "description": "10261/211171", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/211171"}, {"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": "10261/253007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:38Z", "type": "Journal Article", "created": "2021-08-17", "title": "Multi-Step Calibration Approach for SWAT Model Using Soil Moisture and Crop Yields in a Small Agricultural Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The quantitative prediction of hydrological components through hydrological models could serve as a basis for developing better land and water management policies. This study provides a comprehensive step by step modelling approach for a small agricultural watershed using the SWAT model. The watershed is situated in Petzenkirchen in the western part of Lower Austria and has total area of 66 hectares. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The calibration approach involves a sequential calibration of the model starting from surface runoff, and groundwater flow, followed by crop yields and then soil moisture, and finally total streamflow and sediment yields. Calibration and validation are carried out using the r-package SWATplusR. The impact of each calibration step on sediment yields and total streamflow is evaluated. The results of this approach are compared with those of the conventional model calibration approach, where all the parameters governing various hydrological processes are calibrated simultaneously. Results showed that the model was capable of successfully predicting surface runoff, groundwater flow, soil profile water content, total streamflow and sediment yields with Nash-Sutcliffe efficiency (NSE) of greater than 0.75. Crop yields were also well simulated with a percent bias (PBIAS) ranging from \u221217% to 14%. Surface runoff calibration had the highest impact on streamflow output, improving NSE from 0.39 to 0.77. The step-wise calibration approach performed better for streamflow prediction than the simultaneous calibration approach. The results of this study show that the step-wise calibration approach is more accurate, and provides a better representation of different hydrological components and processes than the simultaneous calibration approach.</p></article>", "keywords": ["Step-wise calibration", "2. Zero hunger", "step-wise calibration", "Crop yields", "soil erosion model", "Sequential calibration", "Sediment yield", "0207 environmental engineering", "HOAL", "crop yields", "Streamflow", "SWATplusR", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sediment yield", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "Soil erosion model", "streamflow", "Soil moisture", "soil moisture", "sequential calibration"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://doi.org/10261/253007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253007", "name": "item", "description": "10261/253007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-17T00:00:00Z"}}, {"id": "10261/309244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:40Z", "type": "Other", "title": "Agricultural Land Degradation in the Czech Republic", "description": "Closed AccessI would like to thank the teams that worked on Tudi project no. 101000224, EU ITN SOPLAS project no. 955334, and on project no. LTC20001 \u201cFire effects on soils,\u201d which contributed to some of the results reported in this chapter.", "keywords": ["Land collectivization", "Soil sealing", "Wind erosion", "Soil erosion", "Wild fires", "Pesticides", "Soil compaction"], "contacts": [{"organization": "Zumr, David", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309244"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309244", "name": "item", "description": "10261/309244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309244"}, {"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": "10261/309253", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:41Z", "type": "Dataset", "title": "Measured magnetic susceptibility data for different magnetite tracer stacking scenarios", "description": "Open AccessPeer reviewed", "keywords": ["Magnetic susceptibility", "Soil erosion", "Bartington MS2 system", "15. Life on land"], "contacts": [{"organization": "Zumr, David, Li, Tailin, G\u00f3mez, Jos\u00e9, Guzm\u00e1n, Gema,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309253"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309253", "name": "item", "description": "10261/309253", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309253"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-07T00:00:00Z"}}, {"id": "10261/366268", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:25:43Z", "type": "Journal Article", "created": "2023-01-10", "title": "Using a Rainfall Simulator to Define the Effect of Soil Conservation Techniques on Soil Loss and Water Retention", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the Czech Republic, the Universal Soil Loss Equation provides the basis for defining the soil protection strategy. Field rainfall simulators were used to define the actual cover-management factor values of the most extensively seeded crops in the Czech Republic. More than 380 simulations between 2016 and 2021 provided data. The methodology focused on multi-seasonal measurements to cover the most important phenological phases. A comparison with the original USDA values for maize showed that it is desirable to redefine the C-factor. 71 fallow plot experiments showed that the rainfall-runoff relation is much easier to replicate than the actual sediment transport. For 30-minute intensive rainfall, the runoff ratio reached 62%, and the coefficient of variation was 25%. On saturated soil, the runoff ratio reached 81% and the coefficient of variation dropped to 12%. Soil protection techniques have a significant effect on runoff reduction. Maize seeded after cover crops and combined with reduced tillage or direct seeding can reduce the runoff ratio to 10-20% for &amp;lsquo;dry&amp;rsquo; conditions and to 12-40% for &amp;lsquo;saturated&amp;rsquo; conditions. Concerning soil loss, the variations are greater, with the coefficient of variation reaching 42% during fallow plot experiments. The reader should consider associated uncertainties.</p></article>", "keywords": ["environmental_sciences", "2. Zero hunger", "soil erosion", "Cover crops", "S", "Soil protection", "Rainfall simulator", "Soil loss ratio", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "rainfall simulator", "C-factor", "6. Clean water", "soil protection", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "USLE", "soil loss ratio", "cover crops", "runoff coefficient", "Runoff coefficient"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/12/2/431/pdf"}, {"href": "https://www.mdpi.com/2073-445X/12/2/431/pdf"}, {"href": "https://doi.org/10261/366268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366268", "name": "item", "description": "10261/366268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-09T00:00:00Z"}}, {"id": "2807185283", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:56Z", "type": "Journal Article", "created": "2018-05-30", "title": "An integrated method for calculating DEM-based RUSLE LS", "description": "The improvement of resolution of digital elevation models (DEMs) and the increasing application of the Revised Universal Soil Loss Equation (RUSLE) over large areas have created problems for the efficiency of calculating the LS factor for large data sets. The pretreatment for flat areas, flow accumulation, and slope-length calculation have traditionally been the most time-consuming steps. However, obtaining these features are generally usually considered as separate steps, and calculations still tend to be time-consuming. We developed an integrated method to improve the efficiency of calculating the LS factor. The calculation model contains algorithms for calculating flow direction, flow accumulation, slope length, and the LS factor. We used the Deterministic 8 method to develop flow-direction octrees (FDOTs), flat matrices (FMs) and first-in-first-out queues (FIFOQs) tracing the flow path. These data structures were much more time-efficient for calculating the slope length inside the flats, the flow accumulation, and the slope length linearly by traversing the FDOTs from their leaves to their roots, which can reduce the search scope and data swapping. We evaluated the accuracy and effectiveness of this integrated algorithm by calculating the LS factor for three areas of the Loess Plateau in China and SRTM DEM of China. The results indicated that this tool could substantially improve the efficiency of LS-factor calculations over large areas without reducing accuracy.", "keywords": ["Revised universal soil loss equation (RUSLE)", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "0101 mathematics", "Geographic information system (GIS)", "01 natural sciences", "LS factor"], "contacts": [{"organization": "Wang, Meng, Baartman, Jantiene E.M., Zhang, Hongming, Yang, Qinke, Li, Shuqin, Yang, Jiangtao, Cai, Cheng, Wang, Meili, Ritsema, Coen J., Geissen, Violette,", "roles": ["creator"]}]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s12145-018-0349-3.pdf"}, {"href": "https://doi.org/2807185283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20Science%20Informatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2807185283", "name": "item", "description": "2807185283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2807185283"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-30T00:00:00Z"}}, {"id": "11590/484290", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:05Z", "type": "Journal Article", "created": "2024-05-08", "title": "A unifying modelling of multiple land degradation pathways in Europe", "description": "Abstract<p>Land degradation is a complex socio-environmental threat, which generally occurs as multiple concurrent pathways that remain largely unexplored in Europe. Here we present an unprecedented analysis of land multi-degradation in 40 continental countries, using twelve dataset-based processes that were modelled as land degradation convergence and combination pathways in Europe\uffe2\uff80\uff99s agricultural (and arable) environments. Using a Land Multi-degradation Index, we find that up to 27%, 35% and 22% of continental agricultural (~2 million km2) and arable (~1.1 million km2) lands are currently threatened by one, two, and three drivers of degradation, while 10\uffe2\uff80\uff9311% of pan-European agricultural/arable landscapes are cumulatively affected by four and at least five concurrent processes. We also explore the complex pattern of spatially interacting processes, emphasizing the major combinations of land degradation pathways across continental and national boundaries. Our results will enable policymakers to develop knowledge-based strategies for land degradation mitigation and other critical European sustainable development goals.</p", "keywords": ["Degradation (telecommunications)", "Soil Degradation", "Science", "Soil Science", "01 natural sciences", "Environmental protection", "Article", "Environmental science", "12. Responsible consumption", "Agricultural and Biological Sciences", "Agricultural land", "Sustainable development", "11. Sustainability", "Arable land", "Environmental resource management", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Q", "1. No poverty", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Computer science", "Soil Erosion and Agricultural Sustainability", "Land Tenure and Property Rights in Agriculture", "Threatened species", "Environmental degradation", "Habitat", "Archaeology", "Land Fragmentation", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Land use", "Telecommunications", "0401 agriculture", " forestry", " and fisheries", "Land degradation"]}, "links": [{"href": "https://doi.org/11590/484290"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11590/484290", "name": "item", "description": "11590/484290", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11590/484290"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-08T00:00:00Z"}}, {"id": "2158/1138562", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:41Z", "type": "Report", "title": "Soil inoculation with cyanobacteria: reviewing its\u2019 potential for agriculture sustainability in drylands", "description": "In the last decades, there has been a huge expansion of intensive agriculture crops to attend the enormous demand of food needs with increasing population. Intensive agriculture is highly dependent on chemicals, which has caused numerous environmental problems such as contamination of aquifers, soils and air, with serious consequences on human health. A challenge in the next decades will be the development of economically viable methods to enhance productivity, at the same time that conservation of natural resources, protection of environment and production of healthy agricultural products are ensured. Sustainable agriculture requires management of a healthy living soil. Use of microorganisms such as cyanobacteria appears as a real alternative to achieve more sustainable managements. In this review, we briefly discuss the roles of cyanobacteria in the improvement of soil stability, soil nutrient and moisture status, organic matter content, microbial activities, and the growth and productivity of crops. Application of cyanobacteria is especially promising in croplands from dryland regions where high tolerance of these organisms to harsh environmental conditions converts them into viable alternatives or complements to more widespread conservation practices based on vegetation covers.", "keywords": ["Biocrust; Fertility; Carbon sequestration; Soil erosion; Cropland"], "contacts": [{"organization": "Sonia Chamizo, Emilio Rodri\u0301guez-Caballero, Yolanda Canto\u0301n, Roberto De Philippis,", "roles": ["creator"]}]}, "links": [{"href": "https://flore.unifi.it/bitstream/2158/1138562/1/Agricultural%20Res%20Technol%202018.pdf"}, {"href": "https://doi.org/2158/1138562"}, {"rel": "self", "type": "application/geo+json", "title": "2158/1138562", "name": "item", "description": "2158/1138562", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2158/1138562"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "2750657721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:53Z", "type": "Journal Article", "created": "2017-08-30", "title": "An improved method for calculating slope length (\u03bb) and the LS parameters of the Revised Universal Soil Loss Equation for large watersheds", "description": "Abstract   The Universal Soil Loss Equation (USLE) and its revised version (RUSLE) are often used to estimate soil erosion at regional landscape scales. USLE/RUSLE contain parameters for slope length factor (L) and slope steepness factor (S), usually combined as LS. However a major limitation is the difficulty in extracting the LS factor. Methods to estimate LS based on geographic information systems have been developed in the last two decades. L can be calculated for large watersheds using the unit contributing area (UCA) or the slope length (\u03bb) as input parameters. Due to the absence of an estimation of slope length, the UCA method is insufficiently accurate. Improvement of the spatial accuracy of slope length and LS factor is still necessary for estimating soil erosion. The purpose of this study was to develop an improved method to estimate the slope length and LS factor. We combined the algorithm for multiple-flow direction (MFD) used in the UCA method with the LS-TOOL (LS-TOOLSFD) algorithms, taking into account the calculation errors and cutoff conditions for distance, to obtain slope length (\u03bb) and the LS factor. The new method, LS-TOOLMFD, was applied and validated in a catchment with complexly variable slopes. The slope length and LS calculated by LS-TOOLMFD both agreed better with field data than with the calculations using the LS-TOOLSFD and UCA methods, respectively. We then integrated the LS-TOOLMFD algorithm into LS-TOOL developed in Microsoft's .NET environment using C# with a user-friendly interface. The method can automatically calculate slope length, slope steepness, L, S, and LS factor, providing the results as ASCII files that can be easily used in GIS software and erosion models. This study is an important step forward in conducting accurate large-scale erosion evaluation.", "keywords": ["13. Climate action", "LS", "Soil erosion", "0207 environmental engineering", "RUSLE", "Terrain analysis", "02 engineering and technology", "15. Life on land", "GIS", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2750657721"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2750657721", "name": "item", "description": "2750657721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2750657721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "3028010703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:11Z", "type": "Dataset", "title": "Basic data underlying research in manuscrip \"Variation of soil organic carbon, stable isotopes, and soil quality indicators across an erosion\u2013deposition catena in a historical Spanish olive orchard\"", "description": "Open AccessSpanish Ministry of Economy and Competitiveness (grant no. AGL2015-40128-C03-01). European Commission (SHui,grant no. 773903).", "keywords": ["2. Zero hunger", "organic carbon", "Soil erosion", "organic nitrogen", "Olive", "15. Life on land", "Organic carbon", "olive"], "contacts": [{"organization": "G\u00f3mez Calero, Jos\u00e9 Alfonso, Guzm\u00e1n, Gema, Toloza, Arsenio, Resch, Christian, Garc\u00eda- Ruiz, Roberto, Mabit, Lionel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3028010703"}, {"rel": "self", "type": "application/geo+json", "title": "3028010703", "name": "item", "description": "3028010703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3028010703"}, {"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": "3195029335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:24Z", "type": "Journal Article", "created": "2021-08-18", "title": "Multi-Step Calibration Approach for SWAT Model Using Soil Moisture and Crop Yields in a Small Agricultural Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The quantitative prediction of hydrological components through hydrological models could serve as a basis for developing better land and water management policies. This study provides a comprehensive step by step modelling approach for a small agricultural watershed using the SWAT model. The watershed is situated in Petzenkirchen in the western part of Lower Austria and has total area of 66 hectares. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The calibration approach involves a sequential calibration of the model starting from surface runoff, and groundwater flow, followed by crop yields and then soil moisture, and finally total streamflow and sediment yields. Calibration and validation are carried out using the r-package SWATplusR. The impact of each calibration step on sediment yields and total streamflow is evaluated. The results of this approach are compared with those of the conventional model calibration approach, where all the parameters governing various hydrological processes are calibrated simultaneously. Results showed that the model was capable of successfully predicting surface runoff, groundwater flow, soil profile water content, total streamflow and sediment yields with Nash-Sutcliffe efficiency (NSE) of greater than 0.75. Crop yields were also well simulated with a percent bias (PBIAS) ranging from \u221217% to 14%. Surface runoff calibration had the highest impact on streamflow output, improving NSE from 0.39 to 0.77. The step-wise calibration approach performed better for streamflow prediction than the simultaneous calibration approach. The results of this study show that the step-wise calibration approach is more accurate, and provides a better representation of different hydrological components and processes than the simultaneous calibration approach.</p></article>", "keywords": ["Step-wise calibration", "2. Zero hunger", "step-wise calibration", "Crop yields", "soil erosion model", "Sequential calibration", "Sediment yield", "0207 environmental engineering", "HOAL", "crop yields", "Streamflow", "SWATplusR", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sediment yield", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "Soil erosion model", "streamflow", "Soil moisture", "soil moisture", "sequential calibration"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://doi.org/3195029335"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3195029335", "name": "item", "description": "3195029335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3195029335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-17T00:00:00Z"}}, {"id": "3172178299", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:22Z", "type": "Journal Article", "created": "2021-06-12", "title": "Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework", "description": "Assessment of soil loss and understanding its major drivers are essential to implement targeted management interventions. 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<sup>\u22121</sup> yr<sup>\u22121</sup> 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 (&gt;10 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> ). 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. In terms of soil erosion assessment, the study showed the rapid characterization of soil loss rates that could be used to prioritize erosion mitigation plans to support sustainable land resources and tackle land degradation in the Blue Nile Basin.", "keywords": ["Conservation of Natural Resources", "Revised Universal Soil Loss Equation", "0207 environmental engineering", "TRMM spatial downscaling", "02 engineering and technology", "15. Life on land", "6. Clean water", "Soil", "13. Climate action", "Soil loss severity analysis", "Geographic Information Systems", "Cloud computing", "Google Earth Engine", "Environmental Monitoring", "Soil Erosion"]}, "links": [{"href": "https://doi.org/3172178299"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3172178299", "name": "item", "description": "3172178299", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3172178299"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "3177787314", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:27:22Z", "type": "Journal Article", "created": "2021-06-16", "title": "Going beyond Soil Conservation with the Use of Cover Crops in Mediterranean Sloping Olive Orchards", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Among the agricultural practices promoted by the Common Agricultural Policy to increase soil functions, the use of cover crops is a recommended tool to improve the sustainability of Mediter-ranean woody crops such as olive orchards. However, there is a broad range of cover crop ty-pologies in relation to its implementation, control and species composition. In that sense, the in-fluence of different plant species on soil quality indicators in olive orchards remains unknown yet. This study describes the effects of four treatments based on the implementation of different ground covers (CC-NAT, CC-GRA and CC-MIX) and conventional tillage (TILL) on soil erosion, soil physicochemical and biological properties, and soil microbial communities after 8 years of cover crop establishment. Our results have demonstrated that the presence of a temporary cover crop (CC), compared to a soil under tillage (TILL), can reduce soil losses and maintain good soil physicochemical properties and modify greatly the structure and diversity of soil bacterial com-munities and its functioning. The presence of a homogeneous CC of gramineous (Lolium rigidum or Lolilum multiflorum) (CC-GR) for 8 years significantly increased the functional properties of the soil as compared to TILL; although the most significant change was a modification on the bacte-rial community composition that was clearly different from the rest of treatments. On the other hand, the use of a mixture of plant species (CC-MIX) as a CC for only two years although did not modify greatly the structure and diversity of soil bacterial communities compared to the TILL soil, induced significant changes on the functional properties of the soil, and reverted those properties to a level similar to that of an undisturbed soil that had maintained a natural cover of spontaneous vegetation for decades (CC-NAT).</p></article>", "keywords": ["0301 basic medicine", "2. Zero hunger", "Microbial diversity", "soil erosion", "S", "Agriculture", "04 agricultural and veterinary sciences", "metabolic activity", "15. Life on land", "Soil quality", "6. Clean water", "bacterial community composition", "03 medical and health sciences", "13. Climate action", "microbial diversity", "Bacterial community composition", "Metabolic activity", "11. Sustainability", "Soil erosion", "biochemistry", "0401 agriculture", " forestry", " and fisheries", "soil quality"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/7/1387/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/7/1387/pdf"}, {"href": "https://doi.org/3177787314"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3177787314", "name": "item", "description": "3177787314", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3177787314"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-16T00:00:00Z"}}, {"id": "3199548970", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:24Z", "type": "Journal Article", "created": "2021-09-13", "title": "The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management\u2013or with some omissions\u2013, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.</p></article>", "keywords": ["ISLAND", "Environmental Studies", "Environmental Sciences & Ecology", "VINEYARDS", "soil-improving crop systems", "COVER CROPS", "3301 Architecture", "PARAMETERS", "soil erosion; soil-improving crop systems; sustainable land management; sustainable agriculture", "4104 Environmental management", "EQUATION", "RUNOFF", "0502 Environmental Science and Management", "sustainable land management", "2. Zero hunger", "Science & Technology", "soil erosion", "S", "3304 Urban and regional planning", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water", "sustainable agriculture", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "CRETE", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://www.mdpi.com/2073-445X/10/9/964/pdf"}, {"href": "https://doi.org/3199548970"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3199548970", "name": "item", "description": "3199548970", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3199548970"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-12T00:00:00Z"}}, {"id": "3211874429", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:26Z", "type": "Journal Article", "created": "2021-11-13", "title": "An optimized method for extracting slope length in RUSLE from raster digital elevation", "description": "Abstract   The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) have been widely used for predicting average soil loss. Slope length is an important topographical parameter of the L factor in USLE/RUSLE. Among the widely studied GIS procedures for extracting slope length, the distributed watershed erosion slope length (DWESL) based on the unit contributing area estimation method, which considers two-dimensional runoff process and cutoff factors, is a relatively complete model for calculating slope length. Slope length in the DWESL model is primarily calculated using conventional flow direction algorithms such as D8, Dinf, MS and MFD-md. However, DWESL outputs require further improvement due to the errors in the usual estimates of the uphill contributing area and the effective contour length of discrete elements. Combined with a theoretical differential equation of specific catchment area on hillsides, the calculation of the DWESL model was optimized without estimating the uphill contributing area or the effective contour length for each cell. The proposed integration method based on the topographical features slope line, contour curvature and cutoff factors (ITF method) was used to extract slope length from the raster digital elevation. Slope length extracted using the ITF method had the smallest error in verification of mathematical surfaces (average RRMSE \u00a0=\u00a00.0573), and its spatial distribution was more consistent with the structure of the terrain surface for all test data, relative to the conventional flow direction algorithms in the original DWESL model. The proposed ITF method could provide a reference for predicting soil erosion using the USLE/RUSLE model.", "keywords": ["Slope Length", "Soil erosion", "0211 other engineering and technologies", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "Terrain analysis", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "GIS"]}, "links": [{"href": "https://doi.org/3211874429"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3211874429", "name": "item", "description": "3211874429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3211874429"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Soil+Erosion&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=Soil+Erosion&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=Soil+Erosion&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=Soil+Erosion&offset=100", "hreflang": "en-US"}], "numberMatched": 128, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-24T11:15:28.487960Z"}