{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2021.107655", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-16T16:15:21Z", "type": "Journal Article", "created": "2021-09-09", "title": "The impact of water erosion on global maize and wheat productivity", "description": "Abstract   Water erosion removes soil nutrients, soil carbon, and in extreme cases can remove topsoil altogether. Previous studies have quantified crop yield losses from water erosion using a range of methods, applied mostly to single plots or fields, and cannot be systematically compared. This study assesses the worldwide impact of water erosion on maize and wheat production using a global gridded modeling approach for the first time. The EPIC crop model is used to simulate the global impact of water erosion on maize and wheat yields, from 1980 to 2010, for a range of field management strategies. Maize and wheat yields were reduced by a median of 3% annually in grid cells affected by water erosion, which represent approximately half of global maize and wheat cultivation areas. Water erosion reduces the annual global production of maize and wheat by 8.9 million tonnes and 5.6 million tonnes, with a value of $3.3bn globally. Nitrogen fertilizer necessary to reduce losses is valued at $0.9bn. As cropland most affected by water erosion is outside major maize and wheat production regions, the production losses account for less than 1% of the annual global production by volume. Countries with heavy rainfall, hilly agricultural regions and low fertilizer use are most vulnerable to water erosion. These characteristics are most common in South and Southeast Asia, sub-Saharan Africa and South and Central America. Notable uncertainties remain around large-scale water erosion estimates that will need to be addressed by better integration of models and observations. Yet, an integrated bio-physical modeling framework \u2013 considering plant growth, soil processes and input requirements \u2013 as presented herein can provide a link between robust water erosion estimates, economics and policy-making so far lacking in global agricultural assessments.", "keywords": ["2. Zero hunger", "550", "04 agricultural and veterinary sciences", "global-gridded crop model", "15. Life on land", "01 natural sciences", "333", "6. Clean water", "fertilizer replacement costs", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "crop production change", "Water erosion", "EPIC", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/17449/1/erosion_impact_final.pdf"}, {"href": "https://doi.org/10.1016/j.agee.2021.107655"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2021.107655", "name": "item", "description": "10.1016/j.agee.2021.107655", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2021.107655"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2012.01.038", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:16:08Z", "type": "Journal Article", "created": "2012-03-11", "title": "Land Degradation Impact On Soil Carbon Losses Through Water Erosion And Co2 Emissions", "description": "Abstract   Worldwide concerns with global change and its effects on our future environment require an improved understanding of the impact of land cover changes on the global C cycle. Overgrazing causes a reduction in plant cover with accepted consequences on soil infiltration and soil erosion, yet the impact on the loss of soil organic carbon (SOC) and its associated processes remain unaccounted for. In this study performed in South Africa, our main objective was to evaluate the impact of plant cover reduction on (i) SOC erosion by water in both particulate (POC) and dissolved (DOC) forms, and (ii) soil CO 2  emissions to the atmosphere. The study performed under sandy-loam Acrisols investigated three proportions of soil surface coverage by plants (Cov), from 100% (Cov100) for the \u201cnon-degraded\u201d treatment to 25\u201350% (Cov50) and 0\u20135% (Cov5). POC and DOC losses were evaluated using an artificial rainfall of 30\u00a0mm\u00a0h \u2212\u00a01  applied for a period of 30\u00a0min on bounded 1\u00a0\u00d7\u00a01\u00a0m\u00b2 microplots (n\u00a0=\u00a03 per treatment). CO 2  emissions from undisturbed soil samples (n\u00a0=\u00a09) were evaluated continuously at the laboratory over a 6-month period. At the \u201cnon-degraded\u201d treatment of Cov100, plant-C inputs to the soil profile were 1950\u00a0\u00b1\u00a0180\u00a0gC\u00a0m \u2212\u00a02 \u00a0y \u2212\u00a01  and SOC stocks in the 0\u20130.02\u00a0m layer were 300.6\u00a0\u00b1\u00a016.2\u00a0gC\u00a0m \u2212\u00a02 . While soil-C inputs by plants significantly (P\u00a0 \u2212\u00a02  at Cov100 increased from 66% at Cov50 (i.e. 3.76\u00a0\u00b1\u00a01.8\u00a0gC\u00a0m \u2212\u00a02 ) to a staggering 213% at Cov5 (i.e. 7.08\u00a0\u00b1\u00a02.9\u00a0gC\u00a0m \u2212\u00a02 ). These losses were for the most part in particulate form (from 88.0% for Cov100 to 98.7% for Cov5). Plant cover reduction significantly decreased both the cumulative C\u2013CO 2  emissions (by 68% at Cov50 and 69% at Cov5) and the mineralization rate of the soil organic matter (from 0.039 gC\u2013CO 2 \u00a0gC \u2212\u00a01  at Cov100 to 0.031\u00a0gC\u2013CO 2 \u00a0gC \u2212\u00a01  at Cov5). These results are expected to increase our understanding of the impact of land degradation on the global C cycle. Further in-situ research studies, however, need to investigate whether or not grassland degradation induces net C-emissions to the atmosphere.", "keywords": ["2. Zero hunger", "550", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "12. Responsible consumption", "South Africa", "13. Climate action", "Particulate and dissolved SOC forms", "0401 agriculture", " forestry", " and fisheries", "Global C Cycle", "Water erosion", "Land use change"], "contacts": [{"organization": "McHunu, C., /Chaplot, Vincent,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2012.01.038"}, {"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": "10.1016/j.geoderma.2012.01.038", "name": "item", "description": "10.1016/j.geoderma.2012.01.038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2012.01.038"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2016.01.182", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:16:31Z", "type": "Journal Article", "created": "2016-02-15", "title": "Effects Of Soil Management Techniques On Soil Water Erosion In Apricot Orchards", "description": "Soil erosion is extreme in Mediterranean orchards due to management impact, high rainfall intensities, steep slopes and erodible parent material. Vall d'Albaida is a traditional fruit production area which, due to the Mediterranean climate and marly soils, produces sweet fruits. However, these highly productive soils are left bare under the prevailing land management and marly soils are vulnerable to soil water erosion when left bare. In this paper we study the impact of different agricultural land management strategies on soil properties (bulk density, soil organic matter, soil moisture), soil water erosion and runoff, by means of simulated rainfall experiments and soil analyses. Three representative land managements (tillage/herbicide/covered with vegetation) were selected, where 20 paired plots (60 plots) were established to determine soil losses and runoff. The simulated rainfall was carried out at 55mmh(-1) in the summer of 2013 (<8% soil moisture) for one hour on 0.25m(2) circular plots. The results showed that vegetation cover, soil moisture and organic matter were significantly higher in covered plots than in tilled and herbicide treated plots. However, runoff coefficient, total runoff, sediment yield and soil erosion were significantly higher in herbicide treated plots compared to the others. Runoff sediment concentration was significantly higher in tilled plots. The lowest values were identified in covered plots. Overall, tillage, but especially herbicide treatment, decreased vegetation cover, soil moisture, soil organic matter, and increased bulk density, runoff coefficient, total runoff, sediment yield and soil erosion. Soil erosion was extremely high in herbicide plots with 0.91Mgha(-1)h(-1) of soil lost; in the tilled fields erosion rates were lower with 0.51Mgha(-1)h(-1). Covered soil showed an erosion rate of 0.02Mgha(-1)h(-1). These results showed that agricultural management influenced water and sediment dynamics and that tillage and herbicide treatment should be avoided.", "keywords": ["2. Zero hunger", "Agriculture land management", "Rainfall simulation", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Hydrology", "Mediterranean", "Soil water erosion", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2016.01.182"}, {"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": "10.1016/j.scitotenv.2016.01.182", "name": "item", "description": "10.1016/j.scitotenv.2016.01.182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2016.01.182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.1111/gcbb.12128", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:18:24Z", "type": "Journal Article", "created": "2013-10-31", "title": "Soil And Crop Response To Stover Removal From Rainfed And Irrigated Corn", "description": "Abstract<p>Excessive corn (Zea mays L.) stover removal for biofuel and other uses may adversely impact soil and crop production. We assessed the effects of stover removal at 0, 25, 50, 75, and 100% from continuous corn on water erosion, corn yield, and related soil properties during a 3\uffe2\uff80\uff90year study under irrigated and no\uffe2\uff80\uff90tillage management practice on a Ulysses silt loam at Colby, irrigated and strip till management practice on a Hugoton loam at Hugoton, and rainfed and no\uffe2\uff80\uff90tillage management practice on a Woodson silt loam at Ottawa in Kansas, USA. The slope of each soil was &lt;1%. One year after removal, complete (100%) stover removal resulted in increased losses of sediment by 0.36\uffe2\uff80\uff930.47\uffc2\uffa0Mg\uffc2\uffa0ha\uffe2\uff88\uff921 at the irrigated sites, but, at the rainfed site, removal at rates as low as 50% resulted in increased sediment loss by 0.30\uffc2\uffa0Mg\uffc2\uffa0ha\uffe2\uff88\uff921 and sediment\uffe2\uff80\uff90associated carbon (C) by 0.29\uffc2\uffa0kg\uffc2\uffa0ha\uffe2\uff88\uff921. Complete stover removal reduced wet aggregate stability of the soil at the irrigated sites in the first year after removal, but, at the rainfed site, wet aggregate stability was reduced in all years. Stover removal at rates \uffe2\uff89\uffa5 50% resulted in reduced soil water content, increased soil temperature in summer by 3.5\uffe2\uff80\uff936.8\uffc2\uffa0\uffc2\uffb0C, and reduced temperature in winter by about 0.5\uffc2\uffa0\uffc2\uffb0C. Soil C pool tended to decrease and crop yields tended to increase with an increase in stover removal, but 3\uffc2\uffa0years after removal, differences were not significant. Overall, stover removal at rates \uffe2\uff89\uffa550% may enhance grain yield but may increase risks of water erosion and negatively affect soil water and temperature regimes in this region.</p>", "keywords": ["2. Zero hunger", "Plant Sciences", "Botany", "Life Sciences", "Plant Biology", "Agriculture", "04 agricultural and veterinary sciences", "Horticulture", "15. Life on land", "7. Clean energy", "irrigation", "333", "630", "6. Clean water", "soil aggregation", "Agronomy and Crop Sciences", "13. Climate action", "Other Plant Sciences", "0401 agriculture", " forestry", " and fisheries", "stover removal", "water erosion", "soil carbon", "Agricultural Science"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12128", "name": "item", "description": "10.1111/gcbb.12128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-31T00:00:00Z"}}, {"id": "10.3390/su14105748", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:20:44Z", "type": "Journal Article", "created": "2022-05-11", "title": "Using WaTEM/SEDEM to Model the Effects of Crop Rotation and Changes in Land Use on Sediment Transport in the Vrchlice Watershed", "description": "<p>The Czech landscape has undergone various changes over the last 100 years and has been mainly adapted agriculturally for economic purposes. This has resulted, among other things, in reservoirs being clogged with sediment. The Vrchlice Reservoir was built in 1970 to supply drinking water for around 50,000 inhabitants, and increased sedimentation has been detected in the reservoir in recent years. Water erosion and sediment transport were modeled with WaTEM/SEDEM. Sediment volumes were measured in eight ponds across the watershed for calibration purposes. Modeled results from ponds in watersheds covered mostly with arable lands generally corresponded with the measured values. Although in forested watersheds, the measured sediment volumes greatly exceeded modeled sediment yields, indicating high uncertainty in using USLE-based models in non-agricultural watersheds. The modeled scenarios represented pre-Communist, Communist, and post-Communist eras. For these periods WaTEM/SEDEM was used to evaluate three isolated effects: the effects of various crops on arable lands, the effects of farmland fragmentation, and finally the effects of changes in land use. The change in crops proved to be an important factor causing high siltation rate (potential 23% reduction in sediment yield for historical periods), and land fragmentation played the second important role (potential 15% reduction in sediment yield can be reached by land fragmentation). Across all scenarios, the lowest sediment yield and reservoirs siltation rates were obtained from the pre-Communist and Communist crop share under current land use conditions, and current land use with farmland fragmentation implemented, as it was re-constructed for the pre-Communist era. This supports the idea that the introduction of green areas within arable lands are beneficial to the landscape and can help reduce soil erosion and reservoir siltation.</p>", "keywords": ["2. Zero hunger", "Czech republic", "sediment; reservoir; ponds; water erosion; WaTEM/SEDEM; Czech Republic", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "11. Sustainability", "Sediment", "WaTEM/SEDEM", "Water erosion", "Ponds", "Czech Republic", "Reservoir", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://doi.org/10.3390/su14105748"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su14105748", "name": "item", "description": "10.3390/su14105748", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su14105748"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "10.5281/zenodo.14006019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:22:00Z", "type": "Dataset", "title": "SERENA EJP SOIL: Soil water erosion map of Hungary according to the RUSLE model", "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. 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 (ST). 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).", "keywords": ["EJP SOIL", "Hungary", "RUSLE", "water erosion", "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/10.5281/zenodo.14006019"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14006019", "name": "item", "description": "10.5281/zenodo.14006019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14006019"}, {"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": "10261/279278", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:24:04Z", "type": "Journal Article", "created": "2022-05-10", "title": "Using WaTEM/SEDEM to Model the Effects of Crop Rotation and Changes in Land Use on Sediment Transport in the Vrchlice Watershed", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The Czech landscape has undergone various changes over the last 100 years and has been mainly adapted agriculturally for economic purposes. This has resulted, among other things, in reservoirs being clogged with sediment. The Vrchlice Reservoir was built in 1970 to supply drinking water for around 50,000 inhabitants, and increased sedimentation has been detected in the reservoir in recent years. Water erosion and sediment transport were modeled with WaTEM/SEDEM. Sediment volumes were measured in eight ponds across the watershed for calibration purposes. Modeled results from ponds in watersheds covered mostly with arable lands generally corresponded with the measured values. Although in forested watersheds, the measured sediment volumes greatly exceeded modeled sediment yields, indicating high uncertainty in using USLE-based models in non-agricultural watersheds. The modeled scenarios represented pre-Communist, Communist, and post-Communist eras. For these periods WaTEM/SEDEM was used to evaluate three isolated effects: the effects of various crops on arable lands, the effects of farmland fragmentation, and finally the effects of changes in land use. The change in crops proved to be an important factor causing high siltation rate (potential 23% reduction in sediment yield for historical periods), and land fragmentation played the second important role (potential 15% reduction in sediment yield can be reached by land fragmentation). Across all scenarios, the lowest sediment yield and reservoirs siltation rates were obtained from the pre-Communist and Communist crop share under current land use conditions, and current land use with farmland fragmentation implemented, as it was re-constructed for the pre-Communist era. This supports the idea that the introduction of green areas within arable lands are beneficial to the landscape and can help reduce soil erosion and reservoir siltation.</p></article>", "keywords": ["2. Zero hunger", "Czech republic", "sediment; reservoir; ponds; water erosion; WaTEM/SEDEM; Czech Republic", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "11. Sustainability", "Sediment", "WaTEM/SEDEM", "Water erosion", "Ponds", "Czech Republic", "Reservoir", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://doi.org/10261/279278"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/279278", "name": "item", "description": "10261/279278", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/279278"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "11590/469721", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:24:27Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "IMPACT", "[SDV]Life Sciences [q-bio]", "multi-model approach", "Wind", "SEDIMENT", "Gully", "11. Sustainability", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "Agriculture", "multi-modelski pristop", "Engineering (General). Civil engineering (General)", "4106 Soil sciences", "[SDV] Life Sciences [q-bio]", "gully", "veter", "Physical Sciences", "Water Resources", "tillage", "TA1-2040", "Life Sciences & Biomedicine", "pobiranje pridelka", "water", "Soil Science", "Environmental Sciences & Ecology", "Modelling", "Tillage", "modelling", "4104 Environmental management", "4105 Pollution and contamination", "EUROPEAN-UNION", "modeliranje", "jarkovna erozija", "wind", "AGRICULTURAL SOIL-EROSION", "Science & Technology", "WATER EROSION", "500", "Water", "15. Life on land", "Crop harvesting", "13. Climate action", "voda", "crop harvesting", "Environmental Sciences", "erozija zaradi obdelave tal", "WIND EROSION"]}, "links": [{"href": "https://doi.org/11590/469721"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11590/469721", "name": "item", "description": "11590/469721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11590/469721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "3200614823", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-16T16:25:39Z", "type": "Journal Article", "created": "2021-09-09", "title": "The impact of water erosion on global maize and wheat productivity", "description": "Abstract   Water erosion removes soil nutrients, soil carbon, and in extreme cases can remove topsoil altogether. Previous studies have quantified crop yield losses from water erosion using a range of methods, applied mostly to single plots or fields, and cannot be systematically compared. This study assesses the worldwide impact of water erosion on maize and wheat production using a global gridded modeling approach for the first time. The EPIC crop model is used to simulate the global impact of water erosion on maize and wheat yields, from 1980 to 2010, for a range of field management strategies. Maize and wheat yields were reduced by a median of 3% annually in grid cells affected by water erosion, which represent approximately half of global maize and wheat cultivation areas. Water erosion reduces the annual global production of maize and wheat by 8.9 million tonnes and 5.6 million tonnes, with a value of $3.3bn globally. Nitrogen fertilizer necessary to reduce losses is valued at $0.9bn. As cropland most affected by water erosion is outside major maize and wheat production regions, the production losses account for less than 1% of the annual global production by volume. Countries with heavy rainfall, hilly agricultural regions and low fertilizer use are most vulnerable to water erosion. These characteristics are most common in South and Southeast Asia, sub-Saharan Africa and South and Central America. Notable uncertainties remain around large-scale water erosion estimates that will need to be addressed by better integration of models and observations. Yet, an integrated bio-physical modeling framework \u2013 considering plant growth, soil processes and input requirements \u2013 as presented herein can provide a link between robust water erosion estimates, economics and policy-making so far lacking in global agricultural assessments.", "keywords": ["2. Zero hunger", "550", "04 agricultural and veterinary sciences", "global-gridded crop model", "15. Life on land", "01 natural sciences", "333", "6. Clean water", "fertilizer replacement costs", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "crop production change", "Water erosion", "EPIC", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/17449/1/erosion_impact_final.pdf"}, {"href": "https://doi.org/3200614823"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3200614823", "name": "item", "description": "3200614823", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3200614823"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "50|od______2659::1b6081f8bd9a44803fc91990862b9ee4", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:26:08Z", "type": "Dataset", "title": "SERENA EJP SOIL: Soil water erosion map of Hungary according to the RUSLE model", "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. 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 (ST). 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).", "keywords": ["EJP SOIL", "Hungary", "RUSLE", "water erosion", "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::1b6081f8bd9a44803fc91990862b9ee4"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::1b6081f8bd9a44803fc91990862b9ee4", "name": "item", "description": "50|od______2659::1b6081f8bd9a44803fc91990862b9ee4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::1b6081f8bd9a44803fc91990862b9ee4"}, {"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": "50|od______2659::faea77e44934fa0ba199639d29e95776", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-16T16:26:10Z", "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": "1011a6e7-541a-40f2-8926-b5e3883794ed", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.27, 51.36], [11.27, 53.56], [14.76, 53.56], [14.76, 51.36], [11.27, 51.36]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "soil maps"}, {"id": "soil types"}, {"id": "water erosion"}, {"id": "wind erosion"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Bodensch\u00e4tzung"}, {"id": "Mittelma\u00dfst\u00e4bige Landwirtschaftliche Kartierung (MMK)"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}], "scheme": "individual"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-05-06", "type": "Dataset", "created": "2024-02-15", "language": "eng", "title": "High-resolution soil map of the Federal State of Brandenburg with derivations of the water and wind erosion risks", "description": "Dataset contains an area-wide map of the soil properties of Brandenburg and Berlin as shape file, which meets the requirements of a 1 : 10,000 scale representation. In order to cover the entire area of the state, the map was composed of different sources: Soil Quality Appraisal, Medium-scale Agricultural Site Mapping (MMK), an extrapolation of the MMK as well as the area of Berlin. From 2008 onwards, the map was the basis for the annual classification of field blocks with regard to their water and wind erosion risk within the framework of \"Cross Compliance\" in Brandenburg. Each mapping unit has a value of the K-factor, describing the soil erodibility for water erosion based on the Universal Soil Loss Equation (USLE) and a risk class for wind erosion derived from the DIN 19706 \u201cSoil quality - Determination of the soil exposure risk from wind erosion\u201d.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "soil maps", "soil types", "water erosion", "wind erosion", "opendata", "Bodensch\u00e4tzung", "Mittelma\u00dfst\u00e4bige Landwirtschaftliche Kartierung (MMK)", "Boden", "Germany", "Brandenburg"], "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": 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