{"type": "FeatureCollection", "features": [{"id": "10.1016/j.mex.2022.101826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:06Z", "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": "10.1029/2023jd040657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:19:14Z", "type": "Journal Article", "created": "2024-06-11", "title": "Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Abstract<p>Dust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size\uffe2\uff80\uff90resolved dust fluxes were estimated at three levels between 2 and 4\uffc2\uffa0m using the eddy\uffe2\uff80\uff90covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non\uffe2\uff80\uff90uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well\uffe2\uff80\uff90mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non\uffe2\uff80\uff90erosive elements.</p", "keywords": ["[SDE] Environmental Sciences", "Aeolian erosion events", "550", "dust flux", "Soil wind erosion", "Ensure access to affordable", " reliable", " sustainable and modern energy for all", "Dust flux layer", "0207 environmental engineering", "02 engineering and technology", "Constant flux layer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "551", "01 natural sciences", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Simulaci\u00f3 per ordinador", "Atmospheric surface layer", "size distribution", "Climate science", "500 Naturwissenschaften und Mathematik::550 Geowissenschaften", " Geologie::551 Geologie", " Hydrologie", " Meteorologie", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Size distribution", "15. Life on land", "520", "Physical sciences", "Earth sciences", "13. Climate action", "[SDE]Environmental Sciences", "Soil erosion", "soil wind erosion", "constant flux layer"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040657"}, {"href": "https://hal.inrae.fr/hal-04618242/file/JGR%20Atmospheres%20-%202024%20-%20Dupont%20-%20Impact%20of%20Dust%20Source%20Patchiness%20on%20the%20Existence%20of%20a%20Constant%20Dust%20Flux%20Layer%20During.pdf"}, {"href": "https://doi.org/10.1029/2023jd040657"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2023jd040657", "name": "item", "description": "10.1029/2023jd040657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2023jd040657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-11T00:00:00Z"}}, {"id": "10.3390/ijerph20010198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:25Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\uffe2\uff80\uff93200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 and a wind soil loss of approximately 5.25 t ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 for 0\uffe2\uff80\uff9360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10.3390/ijerph20010198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph20010198", "name": "item", "description": "10.3390/ijerph20010198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph20010198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10.5194/acp-20-55-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:15Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/10.5194/acp-20-55-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-20-55-2020", "name": "item", "description": "10.5194/acp-20-55-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-20-55-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "10138/579229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:07Z", "type": "Journal Article", "created": "2024-06-11", "title": "Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Abstract<p>Dust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size\uffe2\uff80\uff90resolved dust fluxes were estimated at three levels between 2 and 4\uffc2\uffa0m using the eddy\uffe2\uff80\uff90covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non\uffe2\uff80\uff90uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well\uffe2\uff80\uff90mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non\uffe2\uff80\uff90erosive elements.</p", "keywords": ["[SDE] Environmental Sciences", "Aeolian erosion events", "Geologie", " Hydrologie", " Meteorologie", "550", "dust flux", "Soil wind erosion", "Ensure access to affordable", " reliable", " sustainable and modern energy for all", "Dust flux layer", "0207 environmental engineering", "02 engineering and technology", "Constant flux layer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "551", "01 natural sciences", "http://metadata.un.org/sdg/7", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Simulaci\u00f3 per ordinador", "Atmospheric surface layer", "size distribution", "Climate science", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Size distribution", "15. Life on land", "520", "Physical sciences", "Earth sciences", "13. Climate action", "[SDE]Environmental Sciences", "Soil erosion", "soil wind erosion", "http://metadata.un.org/sdg/11", "constant flux layer"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040657"}, {"href": "https://hal.inrae.fr/hal-04618242/file/JGR%20Atmospheres%20-%202024%20-%20Dupont%20-%20Impact%20of%20Dust%20Source%20Patchiness%20on%20the%20Existence%20of%20a%20Constant%20Dust%20Flux%20Layer%20During.pdf"}, {"href": "https://doi.org/10138/579229"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/579229", "name": "item", "description": "10138/579229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/579229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-11T00:00:00Z"}}, {"id": "10261/309080", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:14Z", "type": "Journal Article", "created": "2022-12-23", "title": "The Impact of Residences and Roads on Wind Erosion in a Temperate Grassland Ecosystem: A Spatially Oriented Perspective", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The existence of residences and roads is an important way in which human activity affects wind erosion in arid and semiarid environments. Studies assessing the impact of these elements on wind erosion have only focused on limited plots, and their threat of erosion to the surrounding environment has been ignored by many studies. This study was based on spatially overlayed analysis of independent wind erosion distribution simulated by the revised wind erosion equation (RWEQ) and remote-sensing-image-derived residence and road distribution data. Wind erosion at different distances from residences and roads was quantified at the landscape scale of a typical temperate grassland ecosystem, explicitly demonstrating the crucial impacts of both elements on wind erosion. The results showed that wind erosion weakened as the distance from residences and roads increased due to the priority pathways of human activities, and the wind erosion around the residence was more severe than around the road. Human activities in the buffer zones 0\u2013200 m from the residences most frequently caused severe wind erosion, with a wind soil loss of 25 t ha\u22121 yr\u22121 and a wind soil loss of approximately 5.25 t ha\u22121 yr\u22121 for 0\u201360 m from the roads. The characteristics of wind erosion variation in the buffer zones were also affected by residence size and the environments in which the residences were located. The variation in wind erosion was closely related to the road levels. Human activities intensified wind erosion mainly by affecting the soil and vegetation around residences and roads. Ecological management should not be limited to residences and roads but should also protect the surrounding environments. The findings of this study are aimed towards a spatial perspective that can help implement rational and effective environmental management measures for the sustainability of wind-eroded ecosystems.</p></article>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Residence", "Temperate grassland", "Wind", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Article", "wind erosion; residence; road; temperate grassland; ecosystem management", "Road", "Soil", "13. Climate action", "Wind erosion", "11. Sustainability", "Humans", "0401 agriculture", " forestry", " and fisheries", "Ecosystem management", "Ecosystem", "Environmental Monitoring"], "contacts": [{"organization": "Zhuoli Zhou, Zhuodong Zhang, Wenbo Zhang, Jianyong Luo, Keli Zhang, Zihao Cao, Zhiqiang Wang,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://www.mdpi.com/1660-4601/20/1/198/pdf"}, {"href": "https://doi.org/10261/309080"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309080", "name": "item", "description": "10261/309080", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309080"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-23T00:00:00Z"}}, {"id": "10261/309244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:15Z", "type": "Other", "title": "Agricultural Land Degradation in the Czech Republic", "description": "Closed AccessI would like to thank the teams that worked on Tudi project no. 101000224, EU ITN SOPLAS project no. 955334, and on project no. LTC20001 \u201cFire effects on soils,\u201d which contributed to some of the results reported in this chapter.", "keywords": ["Land collectivization", "Soil sealing", "Wind erosion", "Soil erosion", "Wild fires", "Pesticides", "Soil compaction"], "contacts": [{"organization": "Zumr, David", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309244"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309244", "name": "item", "description": "10261/309244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309244"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10261/384984", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:20Z", "type": "Dataset", "title": "[Dataset] Impact of Dust Source Patchiness on the Existence of a Constant Dust Flux Layer During Aeolian Erosion Events", "description": "Open AccessDust emission fluxes during wind soil erosion are usually estimated using a dust concentration vertical gradient, by assuming a constant dust flux layer between the surface and the dust measurement levels. Here, we investigate the existence of this layer during erosion events recorded in Iceland and Jordan. Size-resolved dust fluxes were estimated at three levels between 2 and 4\u00a0m using the eddy-covariance method. Dust fluxes were found mainly constant only between the two upper levels in Iceland, the lower dust flux being often stronger and richer in coarse particles, while dust fluxes in Jordan were nearly constant across all levels. The wind dynamics could not explain the absence of a constant dust flux layer in Iceland. We show that the presence of stationary dust source patches in Iceland, related to surface humidity, created a non-uniform dust layer near the surface, named dust roughness sublayer (DRSL), where individual plumes behind each patch interact but do not fully mix. The lowest dust measurement level was probably located within this sublayer while the upper ones were located above, such that there the emitted dust became spatially well-mixed. This explains near the surface in Iceland, the more intermittent dust concentration, its low correlation with the dust concentrations above, and the richer dust flux in coarse particles due to their lower deposition contribution. Our findings highlight the importance of estimating dust fluxes above a dust blending height whose characteristics depend on the dust source patchiness caused by surface humidity or the presence of sparse non-erosive elements.", "keywords": ["Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Dust flux", "Build resilient infrastructure", " promote inclusive and sustainable industrialization and foster innovation", "Soil wind erosion", "Size distribution", "Constant flux layer", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat\u00a0desertification", " and halt and reverse land degradation and halt biodiversity loss"], "contacts": [{"organization": "Dupont, S., Klose, M., Irvine, M. R., Gonz\u00e1lez-Fl\u00f3rez, C., Alastuey, Andr\u00e9s, Bonnefond, J. M., Dagsson-Waldhauserova, P., Gonzalez-Romero, A., Hussein, T., Lamaud, E., Meyer, H., Panta, A., Querol, Xavier, Schepanski, K., Vergara Palacio, S., Wieser, A., Yus-D\u00edez, Jes\u00fas, Kandler, K., P\u00e9rez Garc\u00eda-Pando, C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/384984"}, {"rel": "self", "type": "application/geo+json", "title": "10261/384984", "name": "item", "description": "10261/384984", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/384984"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "11590/469721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:49Z", "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": "1808/33524", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:56Z", "type": "Journal Article", "created": "2020-01-03", "title": "Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land\u2013atmosphere model (GFDL AM4.0/LM4.0)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (Vthreshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land\u2013atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the \u201cdust belt\u201d (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean Vthreshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Climatology", "Mineral dusts", ":Desenvolupament hum\u00e0 i sostenible::Medi ambient [\u00c0rees tem\u00e0tiques de la UPC]", "550", "Erosi\u00f3 e\u00f2lica", "Physics", "QC1-999", "01 natural sciences", "Dust emission", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient", "Chemistry", "Pols -- Control", "MODIS (Spectroradiometer)", "13. Climate action", "Climatologia", "Wind erosion", "Dust optical depth (DOD)", "QD1-999", "Dust control", "Geophysical Fluid Dynamics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/20/55/2020/acp-20-55-2020.pdf"}, {"href": "https://www.atmos-chem-phys.net/20/55/2020/acp-20-55-2020-supplement.pdf"}, {"href": "https://doi.org/1808/33524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1808/33524", "name": "item", "description": "1808/33524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1808/33524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-03T00:00:00Z"}}, {"id": "PMC9450165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:33:24Z", "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": {"updated": "2026-06-26T16:33:37Z", "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. Life on land", "ModelBuilder", "ecosystem service", "Python"], "contacts": [{"organization": "Scheper, Simon, Kitzler, Barbara, Weninger, Thomas, Strauss, Peter, Michel, Kerstin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/a0644b731e95ad77893edbe9f05065fe"}, {"rel": "self", "type": "application/geo+json", "title": "a0644b731e95ad77893edbe9f05065fe", "name": "item", "description": "a0644b731e95ad77893edbe9f05065fe", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a0644b731e95ad77893edbe9f05065fe"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-24T00:00:00Z"}}, {"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"}], "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": "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": "Roger Funk", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "rfunk@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8739-6201", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Lidia V\u00f6lker", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "lvoelker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Detlef Deumlich", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ddeumlich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Roger Funk", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "rfunk@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8739-6201", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1011a6e7-541a-40f2-8926-b5e3883794ed", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Grafik_WaWi.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "1011a6e7-541a-40f2-8926-b5e3883794ed", "name": "item", "description": "1011a6e7-541a-40f2-8926-b5e3883794ed", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1011a6e7-541a-40f2-8926-b5e3883794ed"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-06T00:00:00Z"}}, {"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"}], "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 - SIGNAL", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "aknohl@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/0000-0002-7615-8870", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of G\u00f6ttingen", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=a95fd45d-d51b-4698-830d-44f38d7a7340", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Relative_windspeed_metadata.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "a95fd45d-d51b-4698-830d-44f38d7a7340", "name": "item", "description": "a95fd45d-d51b-4698-830d-44f38d7a7340", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a95fd45d-d51b-4698-830d-44f38d7a7340"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-19T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Wind+erosion&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Wind+erosion&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Wind+erosion&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Wind+erosion&offset=14", "hreflang": "en-US"}], "numberMatched": 14, "numberReturned": 14, "distributedFeatures": [], "timeStamp": "2026-06-27T01:29:08.893983Z"}