{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.13952097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "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": "10.1016/j.geodrs.2024.e00904", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:16:28Z", "type": "Journal Article", "created": "2024-12-08", "title": "How to site grassed areas to reduce agricultural erosion efficiently? A computational analysis in Finland", "description": "Spatial patterns of land-cover and agricultural operations have clear impacts on soil erosion. Allocating a portion of cultivated area for grass is a widely applied strategy to control erosion. However, it is still unclear how much and where grassed area should be spatially targeted in different landscapes to control erosion efficiently. To address this challenge, we estimate the potential of high-resolution RUSLE-based spatial targeting of grassed areas to improve erosion mitigation in two topographically different catchments in southern Finland. Erosion reductions of 1) policy-based targeting (buffer strips along main streams according to current CAP strategy) were compared with 2) RUSLE-targeted grassed areas (based on the highest computed erosion values within field parcels and sub-catchments). Furthermore, we computationally explored 3) how different rates of optimally located grass areas affected erosion and 4) how the areas could be computationally processed to continuous entities. The erosion reductions were estimated with 2 \u00d7 2 m2 resolution RUSLE computations in all the scenarios. The RUSLE-targeted grassed areas demonstrated greater erosion reductions compared to the policy-based siting of grass areas along riparian fields. With optimal targeting, erosion risks could potentially be reduced up to 24 percentage points (up to 46 % erosion reduction), compared to the buffer strips. Increasing optimally targeted grassed area gradually from 0 to 100 % decreased erosion non-linearly. The largest share of erosion was generated in disproportionally small land areas (\u223c20 % of the land area). The location of the hotspots in relation to the streams varied between the sub-catchments and field parcels. These quantifications demonstrate the potential value of models for targeted landscape scale spatial erosion management. A more comprehensive assessment of erosion mitigation could benefit of improved empirical validation and consideration of other aspects of erosion and sediment transport, such as local drainage ...", "keywords": ["550", "erosion control", "RUSLE", "erosion", "targeting", "siting"]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2024.e00904"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2024.e00904", "name": "item", "description": "10.1016/j.geodrs.2024.e00904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2024.e00904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1626/pps.6.224", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:47Z", "type": "Journal Article", "created": "2004-06-15", "title": "Erosion Control On A Steep Sloped Coffee Field In Indonesia With Alley Cropping, Intercropped Vegetables, And No-Tillage", "description": "In a hilly area in Lampung State, the southern end of Sumatra Island in Indonesia, coffee is commonly cultivated on hillsides with steep slopes and soil erosion affects sustainable coffee production. A field experiment on coffee cultivation was conducted for 4 years to evaluate the effects of alley cropping and no-tillage on the seed production of coffee and on erosion control in a steep slope area in this region. The cultivation of intercropped vegetables, red peppers, tomatoes, and long beans was introduced into the coffee fields when the coffee plants were small. No significant differences in the yields of either the coffee plants or the intercropped vegetables were noted among the treatments. Coffee shoot fresh weight, however, was slightly increased by no-tillage treatment. Soil erosion was reduced by 37% as a result of no tillage and by 64% with alley cropping. The amount of soil erosion for local farmers practice, tillage & no-alley, was more than four times that in no-tillage and alley treatment. These results indicate that alley cropping and no-tillage are effective for erosion control on coffee fields on steep slopes and that yield is not affected by these practices. The introduction of intercropped vegetables is beneficial in terms of farm economy, especially when the income from coffee cultivation is limited.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Gliricidia sepium (Jacq.) Walp.", "No-tillage", "Plant culture", "Coffea arabica", "04 agricultural and veterinary sciences", "Alley cropping", "15. Life on land", "Coffee", "01 natural sciences", "Intercropped vegetables", "SB1-1110", "Erosion control", "Red acid soil", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1626/pps.6.224"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Production%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1626/pps.6.224", "name": "item", "description": "10.1626/pps.6.224", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1626/pps.6.224"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.10402478", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:56Z", "type": "Report", "title": "Currently available assessments of soil threats and ecosystem services: data, metadata, and methodologies", "description": "Deliverable of the EJPSoil project SERENA (Soil Ecosystem Services and soil threats modelling and mapping): Short descriptions of available assessments of selected soil threats and soil-based ecosystem services provided by the participating member states.  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.", "keywords": ["Carbon sequestration", "Task 3.1", "Soil sealing", "Primary/biomass production", "Hydrological control", "15. Life on land", "Assessment", "SERENA", "Nutrient imbalance", "6. Clean water", "Soil organic carbon loss", "13. Climate action", "EJPSoil", "WP3", "Erosion control", "Soil erosion", "Soil-based ecosystem service", "Bundles", "D3.1.1", "Soil compaction", "Greenhouse gas and climate regulation", "Soil threat"], "contacts": [{"organization": "Michel, Kerstin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10402478"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10402478", "name": "item", "description": "10.5281/zenodo.10402478", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10402478"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13945384", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The 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.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945384"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945384", "name": "item", "description": "10.5281/zenodo.13945384", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945384"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10.5281/zenodo.12546320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:13Z", "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.13945383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "created": "2024-10-22", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The 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.  Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945383"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945383", "name": "item", "description": "10.5281/zenodo.13945383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10.5281/zenodo.13993747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:24Z", "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.14018111", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:25Z", "type": "Dataset", "created": "2024-09-10", "title": "SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED", "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": ["RUSLE", "Poland", "Agricultural Land", "Erosion Control", "Soil-based Ecosystem Services", "SERENA", "EJP-SOIL", "Soil Mass Not Eroded"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14018111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14018111", "name": "item", "description": "10.5281/zenodo.14018111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14018111"}, {"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.14018112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:25Z", "type": "Dataset", "created": "2024-09-10", "title": "SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED", "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": ["RUSLE", "Poland", "Agricultural Land", "Erosion Control", "Soil-based Ecosystem Services", "SERENA", "EJP-SOIL", "Soil Mass Not Eroded"], "contacts": [{"organization": "Pindral, Sylwia, Klimkowicz-Pawlas, Agnieszka, Smreczak, Bo\u017cena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14018112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14018112", "name": "item", "description": "10.5281/zenodo.14018112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14018112"}, {"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": "50|od______2659::faea77e44934fa0ba199639d29e95776", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:26:38Z", "type": "Dataset", "title": "SERENA EJP SOIL: Erosion control map of Hungary", "description": "The internal EJP SOIL project\u00a0SERENA 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\u00a0stakeholders, 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\u00a0the regional, national, and European scales.  Present data was prepared according to the methodology of SERENA Soil erosion and soil erosion control cookbook for the territory of Hungary. The map of soil loss by water erosion (soil threat) was based on the RUSLE model. To create the soil loss map we used data on yearly precipitation of CARPATCLIM database, and AGRI4CAST MARS (R-factor); sand-, silt-, and clay content of DOSoReMI.hu database, and SOC map compiled in the framework of SERENA (K-factor); ESDAC LS-factor for the EU; ESDAC Cover Management factor for the EU (C-factor); ESDAC Support Practices factor for the EU (P-factor). For the soil erosion control, the difference between the erosion map without vegetation (C-factor = 1) and the erosion map with vegetation was calculated. The erosion maps with-, and without vegetation were categorized according to the cookbook, and the result map shows how many categories the pixel has changed when vegetation is taken into account (0: the pixel is in the same category in both maps, 1: minor role of vegetation, 2: moderate role of vegetation, 3: significant role of vegetation).", "keywords": ["EJP SOIL", "Hungary", "erosion control", "RUSLE", "water erosion", "SERENA"], "contacts": [{"organization": "Laborczi, Annam\u00e1ria, Gedeon, Csongor Istv\u00e1n, Csontos, P\u00e9ter, P\u00e1sztor, L\u00e1szl\u00f3,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::faea77e44934fa0ba199639d29e95776"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::faea77e44934fa0ba199639d29e95776", "name": "item", "description": "50|od______2659::faea77e44934fa0ba199639d29e95776", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::faea77e44934fa0ba199639d29e95776"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-30T00:00:00Z"}}, {"id": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "gully erosion"}, {"id": "erosion control"}, {"id": "geographical information systems"}, {"id": "simulation models"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Gully Dynamics"}, {"id": "Numerical Gully Modelling"}, {"id": "Dynamic Gully Model"}, {"id": "QGIS-Plug"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "-"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-06-03", "type": "Dataset", "created": "2024-04-19", "language": "eng", "title": "QGIS-Plugin for Dynamic Gully Modelling", "description": "The morphological characteristics of gully systems help us to better understand the development of gullies in order to identify the direction of its evolution and the areas that are likely to be affected. In addition, temporal modeling of gully morphology facilitates recognizing the current evolutionary stage of the gullies. Furthermore, information on gully evolution is useful to develop coping and mitigation strategies to control gully erosion. Our plugin tool for QGIS, based on A. Sidorchuk\u2019s (1999) simulation model, allows to assess the temporal changes in gully morphology at watershed scale.", "formats": [{"name": "Plugin"}], "keywords": ["Soil", "gully erosion", "erosion control", "geographical information systems", "simulation models", "opendata", "Boden", "Gully Dynamics", "Numerical Gully Modelling", "Dynamic Gully Model", "QGIS-Plug", "-"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael M\u00e4rker", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0632-1422", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Adel Omran", "organization": "Stuttgart University of Applied Sciences", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8171-4755", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Saad Kahn", "organization": "Stuttgart University of Applied Sciences", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael M\u00e4rker", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Michael M\u00e4rker"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0632-1422", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research;Stuttgart University of Applied Sciences", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=93c2f25c-8985-421a-b91b-d6d44bd30c24", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "name": "item", "description": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/93c2f25c-8985-421a-b91b-d6d44bd30c24"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-03T00:00:00Z"}}, {"id": "a95fd45d-d51b-4698-830d-44f38d7a7340", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "wind erosion"}, {"id": "erosion control"}, {"id": "agroforestry"}, {"id": "reduction"}, {"id": "wind speed"}, {"id": "windbreak trees"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "erosion control"}, {"id": "wind erosion"}, {"id": "agroforestry"}, {"id": "wind"}], "scheme": "GEMET - Concepts, version 2.4"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - SIGNAL's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - SIGNAL and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - SIGNAL and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - SIGNAL and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2024-02-19", "type": "Dataset", "created": "2021-01-19", "language": "eng", "title": "Reduction of wind speed and wind erosion risk at the SIGNAL agroforestry site", "description": "The dataset contains two kinds of wind-related-data for the site Forst (Lower Lusatia) in the SIGNAL project:\n1. Columns (1-5) contain the information on the sampling point location \n2. Columns (6-8) are the relative wind speed which is the ratio between wind speed inside the agroforestry system relative to the open field without trees (monoculture). The relative wind speed was simulated with the Large Eddy Simulation model ASAM (All Scale Atmospheric Model, J\u00e4hn et al. (2015). The relative wind speed was calculated for three different wind directions (N, NW, W), for a tree height of 5 m and at a height of 0.5 m above ground.\n3. Columns (9-11) contain the number of days with potential erosion risk for the reference and agroforestry site. These columns are a combination of measured wind speed data at the Forst monoculture site and the modeled LES data (column 6-8). Potential erosion risk in this dataset is defined as wind speeds above 5m/s at 0.5m height above the ground. In total, the dataset contained 742 days of at least one 30 min maximum wind speed measurement.\n\nCalculating the potential erosion risk at 0.5m height:\nstep 1. Erosion risk at the monoculture site\nThe maximum wind speeds at the monoculture site were measured at 3.5m height. By assuming a logarithmic wind profile the 30min maximum wind speeds were converted into maximum wind speeds at 0.5m height. A maximum wind speed larger 5m/s per day is considered as potential erosion risk. The number of days with potential erosion risk was summed.\nstep 2. Erosion risk at the agroforestry site\nThe maximum wind speeds from step 1 were multiplied by the relative wind speeds obtained from the LES model for the different wind directions. This results in spatially distributed maximum wind speeds inside the agroforestry system. Each wind speed above 5m/s, is considered as a potential erosion risk event. A maximum wind speed larger 5m/s per day is considered as potential erosion risk. The number of days with potential erosion risk was summed for each measurement point. \n\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "wind erosion", "erosion control", "agroforestry", "reduction", "wind speed", "windbreak trees", "opendata", "Boden", "erosion control", "wind erosion", "agroforestry", "wind"], "contacts": [{"name": "Justus van Ramshorst", "organization": "University of G\u00f6ttingen", "position": "Bioklimatologie - SIGNAL", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "justus.vanramshorst@uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://orcid.org/0000-0001-7087-4852", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christian Markwitz", "organization": "University of G\u00f6ttingen", "position": "Bioklimatologie - SIGNAL", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "christian.markwitz@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://orcid.org/0000-0001-8215-7420", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Lukas Siebicke", "organization": "University of G\u00f6ttingen", "position": "SIGNAL", "roles": ["supervisor"], "phones": [{"value": null}], "emails": [{"value": "lukas.siebicke@forst.uni-goettingen.de"}], "addresses": [{"deliveryPoint": ["B\u00fcsgenweg 2"], "city": "G\u00f6ttingen", "administrativeArea": "Niedersachsen", "postalCode": "37077", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Alexander Knohl", "organization": "University of G\u00f6ttingen", "position": "Bioklimatologie - 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