{"type": "FeatureCollection", "features": [{"id": "10.1007/s10980-020-00984-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:14:58Z", "type": "Journal Article", "created": "2020-03-10", "title": "Global vulnerability of soil ecosystems to erosion", "description": "Abstract Context <p>Soil erosion is one of the main threats driving soil degradation across the globe with important impacts on crop yields, soil biota, biogeochemical cycles, and ultimately human nutrition.</p>  Objectives <p>Here, using an empirical model, we present a global and temporally explicit assessment of soil erosion risk according to recent (2001\uffe2\uff80\uff932013) dynamics of rainfall and vegetation cover change to identify vulnerable areas for soils and soil biodiversity.</p>  Methods <p>We used an adaptation of the Universal Soil Loss Equation together with state of the art remote sensing models to create a spatially and temporally explicit global model of soil erosion and soil protection. Finally, we overlaid global maps of soil biodiversity to assess the potential vulnerability of these soil communities to soil erosion.</p>  Results <p>We show a consistent decline in soil erosion protection over time across terrestrial biomes, which resulted in a global increase of 11.7% in soil erosion rates. Notably, soil erosion risk systematically increased between 2006 and 2013 in relation to the baseline year (2001). Although vegetation cover is central to soil protection, this increase was mostly driven by changes in rainfall erosivity. Globally, soil erosion is expected not only to have an impact on the vulnerability of soil conditions but also on soil biodiversity with 6.4% (for soil macrofauna) and 7.6% (for soil fungi) of these vulnerable areas coinciding with regions with high soil biodiversity.</p>  Conclusions <p>Our results indicate that an increasing proportion of soils are degraded globally, affecting not only livelihoods but also potentially degrading local and regional landscapes. Similarly, many degraded regions coincide with and may have impacted high levels of soil biodiversity.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "ddc:577", "570", "0303 health sciences", "550", "[SDV]Life Sciences [q-bio]", "577", "15. Life on land", "Article", "[SDV] Life Sciences [q-bio]", "03 medical and health sciences", "13. Climate action", "11. Sustainability", "ddc:570", "Soil erosion", " Soil protection", " Temporally explicit", " Belowground biodiversity", " Ecosystem service supply", " Mapping"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/465465/1/s10980-020-00984-z.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/s10980-020-00984-z.pdf"}, {"href": "https://doi.org/10.1007/s10980-020-00984-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Landscape%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10980-020-00984-z", "name": "item", "description": "10.1007/s10980-020-00984-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10980-020-00984-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-10T00:00:00Z"}}, {"id": "10.1016/j.biocon.2022.109475", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:15:47Z", "type": "Journal Article", "created": "2022-03-15", "title": "In defence of soil biodiversity: Towards an inclusive protection in the European Union", "description": "Open AccessSince soil biodiversity sustains above-ground life, the European Union (EU) has recently announced its new Soil Strategy to better protect soil ecosystems as part of the Biodiversity Strategy for 2030. Also, the EU\u2019s Farm to Fork Strategy and the Zero Pollution Action Plan aim for soil protection. However, the status of soil biodiversity protection has not been comprehensively assessed. Therefore, we explored regulatory, incentive-based and knowledge-based instruments and strategic policy documents at the EU and national levels to determine whether they adequately protect soil biodiversity. Our review of 507 literature references concluded that only eight EU member states explicitly address threats to soil biodiversity in 14 regulatory instruments while 13 countries mainly focus on implicit threats to soil biodiversity, whereas six countries do not consider soil biodiversity. At the EU level, current directives and regulations only tackle individual threats to soil biodiversity. An EU-wide, legally binding protection could ensure a standardised minimum level of soil biodiversity protection while preventing surging costs of not acting. The EU Soil Health Law foreseen for 2023 could couple land management practices beneficial for soil biodiversity with incentive-based instruments. Simultaneously, models should be designed to predict soil biodiversity, considering soil biodiversity\u2019s spatial and temporal heterogeneity.", "keywords": ["2. Zero hunger", "2511.06 Conservaci\u00f3n de Suelos", "13. Climate action", "Common Agricultural Policy", " Green Deal", " Soil biodiversity conservation", " Soil governance", " Soil protection", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences", "12. Responsible consumption"], "contacts": [{"organization": "K\u00f6ninger, J., Panagos, P., Jones, A., Briones, M.J.I., Orgiazzi, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.biocon.2022.109475"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biological%20Conservation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biocon.2022.109475", "name": "item", "description": "10.1016/j.biocon.2022.109475", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biocon.2022.109475"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2017.09.022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:16:22Z", "type": "Journal Article", "created": "2017-09-28", "title": "Impacts of timber forwarding on physical properties of forest soils in southern Finland", "description": "Abstract   Forest harvesting activities can cause soil damage and disturbance through soil compaction, rut formation and soil mixing. These affect the soil structure and functions and forest productivity. Soil compaction results for instance in increased bulk density and decreased porosity, affecting soil moisture, water infiltration and aeration. The effects of timber forwarding on soil physical properties have gained little attention in boreal forests. These issues will become more important in the future since harvesting operations on unfrozen soils are getting more common due to the anticipated climate warming.  In this study, changes of forest soil physical properties (bulk density, moisture content and porosity) after 1\u201310 forwarder passes on two fine-grained mineral soil sites in southern Finland were analysed. Penetration resistance and rut formation were also measured. The measurements were performed in three periods with different soil moisture conditions. The test drives were carried out with a conventional 8-wheeled forwarder with total mass of 29.8\u00a0tons.  Soil bulk density increased and porosity decreased after the machinery passes. However, soil moisture content increased on one site and mainly decreased on another. The first three passes caused the greatest compaction and rutting, the first pass having the strongest impact. After the first and third pass 34\u201355% and over 70% of the total mean rut depth was formed, respectively. Further passes caused only minor rutting. The compaction and changes of soil physical properties appeared to be greater in dry conditions. Rut formation and soil mixing were greater in moist conditions. The results are, however, site-specific, and more research is needed to achieve a better understanding of the relationships between different factors affecting impacts of timber forwarding on soil.", "keywords": ["ta222", "550", "ta1172", "Soil protection", "rut formation", "Forestry", "Rut formation", "04 agricultural and veterinary sciences", "harvesting", "15. Life on land", "protection", "ta4112", "soil", "soil compaction", "13. Climate action", "soil protection", "soil damage", "0401 agriculture", " forestry", " and fisheries", "timber harvesting", "damage", "Timber harvesting", "Soil damage", "Soil compaction", "ta119", "wood"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2017.09.022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2017.09.022", "name": "item", "description": "10.1016/j.foreco.2017.09.022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2017.09.022"}, {"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": "10.1016/j.mex.2022.101826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:16:43Z", "type": "Journal Article", "created": "2022-08-24", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs.\u2022Limit the wind erosion risk map to the most prone fields\u2022Selection of unprotected sites perpendicular to the main wind direction\u2022Suggestions for suitable sites for the potential planting of new windbreaks.", "keywords": ["Risk", "RWEQ", "Ecosystem service", "Science", "Q", "Soil protection", "04 agricultural and veterinary sciences", "Method Article", "15. Life on land", "01 natural sciences", "Wind erosion", "Land use", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.mex.2022.101826"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/MethodsX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.mex.2022.101826", "name": "item", "description": "10.1016/j.mex.2022.101826", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.mex.2022.101826"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1080/15324980601074545", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:18:22Z", "type": "Journal Article", "created": "2006-12-29", "title": "Contour Hedgerows And Grass Strips In Erosion And Runoff Control On Sloping Land In Semi-Arid Kenya", "description": "Most early alley cropping studies in semi-arid Kenya were on fairly flat land while there is an increase in cultivated sloping land. The effectiveness of aging contour hedgerows and grass strips for erosion control on an about 15% slope of an Alfisol was compared. The five treatments were Senna siamea hedgerows with tree prunings applied as mulch to crops (H\u00a0+\u00a0M), hedgerows with crops with prunings removed (H), mulch only applied to crops (M), crops with Panicum maximum grass strips (G), and a sole crop control of a rotation of maize (Zea mays) and cowpea (Vigna unguiculata). Cumulative results for four consecutive seasons showed that most successful treatment H\u00a0+\u00a0M reduced soil loss from just over 100 to only 2\u00a0Mg\u00a0ha\u22121 (or t\u00a0ha\u22121) and runoff from just below 100 to 20\u00a0mm as compared to the sole crop control C. Grass strips were less effective (15\u00a0Mg\u00a0ha\u22121 and 46\u00a0mm, respectively). Cumulative maize yields (1993\u20131995) were reduced by 35% in H\u00a0+\u00a0M, 55% in H, and by more than 60% in G. Generally, the M plot pr...", "keywords": ["2. Zero hunger", "0106 biological sciences", "Soil protection", "Water conservation", "04 agricultural and veterinary sciences", "15. Life on land", "Resource competition", "01 natural sciences", "Maize", "Senna siamea", "Cowpea", "0401 agriculture", " forestry", " and fisheries", "Land degradation", "Agroforestry", "Panicum maximum"], "contacts": [{"organization": "Kinama, J.M., Stigter, C.J., Ong, C.K., Ng'ang'a, J.K., Gichuki, F.N.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1080/15324980601074545"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Arid%20Land%20Research%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/15324980601074545", "name": "item", "description": "10.1080/15324980601074545", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/15324980601074545"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.20944/preprints202301.0161.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:20:08Z", "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", "S", "Cover crops", "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/10.20944/preprints202301.0161.v1"}, {"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": "10.20944/preprints202301.0161.v1", "name": "item", "description": "10.20944/preprints202301.0161.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20944/preprints202301.0161.v1"}, {"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": "10.3390/land11071031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:21:09Z", "type": "Journal Article", "created": "2022-07-07", "title": "Soil Compaction in Harvesting Operations of Phalaris arundinacea L.", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Tillage and harvesting operations of perennial forage crops have problems with soil compaction. The effects of this phenomenon are soil deterioration with reduced crop performance and yield. This study aims to assess soil disturbance by measuring the level of compaction caused by the harvesting operations of Phalaris arundinacea L. P. arundinacea is a species that lends itself to biomass production and phytoremediation of contaminated soils; it adapts to difficult soil conditions, outperforming other species in terms of ease of planting, cost, maturity time, yield, and contamination levels. The crop was sown in three plots of the experimental teaching farm of the University of Tuscia, Viterbo, Italy. Following a detailed analysis of the chemical\u2013physical characteristics of the soil, minimum tillage was chosen in order to concentrate on harvesting operations, which were carried out with a disc mower coupled to a tractor. This was followed by penetration resistance and soil moisture measurements to verify the incidence of the operations and the effect of the type of crop on compaction. On the study site, measurements were taken at points that the wheels of the tractor had gone over and at points that they had not. The soil analysis results indicate different chemical\u2013physical characteristics between the two areas, the texture being frankly sandy to clayey. Penetration resistance measurements indicated differences for the first 20 cm between the part that was covered by the tractor\u2019s tyres and the part that was left touched but also between the three plots. Moisture influenced penetration resistance. This study provides an evaluation of the first data obtained from a project that will last four years and which will explore the dynamics between soil, cultivation, and harvesting operations, giving a fundamental basis for further investigation of further harvesting operations and soil characteristics, which are crucial for planning and managing crops and reducing impacts on the soil in order to preserve it.</p></article>", "keywords": ["2. Zero hunger", "minimum tillage", "S", "penetration resistance; soil protection; minimum tillage; mechanisation; European law", "soil protection", "mechanisation", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "penetration resistance", "04 agricultural and veterinary sciences", "15. Life on land", "European law"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/7/1031/pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/7/1031/pdf"}, {"href": "https://doi.org/10.3390/land11071031"}, {"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": "10.3390/land11071031", "name": "item", "description": "10.3390/land11071031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11071031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-07T00:00:00Z"}}, {"id": "10261/366268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:24:53Z", "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": "PMC9450165", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-29T16:28:47Z", "type": "Journal Article", "created": "2022-08-23", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs.\u2022Limit the wind erosion risk map to the most prone fields\u2022Selection of unprotected sites perpendicular to the main wind direction\u2022Suggestions for suitable sites for the potential planting of new windbreaks.", "keywords": ["Risk", "RWEQ", "Ecosystem service", "Science", "Q", "Soil protection", "04 agricultural and veterinary sciences", "Method Article", "15. Life on land", "01 natural sciences", "Wind erosion", "Land use", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/PMC9450165"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/MethodsX", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC9450165", "name": "item", "description": "PMC9450165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9450165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "a0644b731e95ad77893edbe9f05065fe", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-29T16:29:00Z", "type": "Software", "title": "TASOW \u2013 A tool for the automated selection of potential windbreaks", "description": "Wind erosion is a process in which soil particles are detached from soils and transported downwind. One effective measure to reduce wind erosion are vegetated windbreaks such as hedgerows as they reduce wind speeds and likewise the forces which detach and transport soil particles. However, the planting of new windbreaks is driven by policy decisions as well as planning considerations. To get an initial idea of potential locations for new windbreaks, we present an automated routine as a model in ESRI ArcGIS Pro to propose plantation locations. The main input to the model is a wind erosion risk map. The results are potential locations for windbreaks that are ranked according to their suitability. The model parameters are adjustable, transferable to other regions and can be altered by to the user's needs. \u2022 Limit the wind erosion risk map to the most prone fields \u2022 Selection of unprotected sites perpendicular to the main wind direction \u2022 Suggestions for suitable sites for the potential planting of new windbreaks \u00a0 ****************************************************************** The data includes\u00a0 ArcGIS Pro Model as Toolbox Python script of the model Input data for study region Output data for study region \u00a0 Sources of the data are cited in the referenced and associated publication.", "keywords": ["Risk", "RWEQ", "soil protection", "Wind erosion", "ArcGIS Pro", "15. 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